From c8de1b412408cf3dc656a5e603b42a54018d101a Mon Sep 17 00:00:00 2001 From: Gregory Roberts Date: Fri, 30 May 2025 16:13:56 -0400 Subject: [PATCH 1/9] box pec optimization notebook --- Autograd28RFPatchAntenna.ipynb | 2148 +++++++++++++++++++++++++++++++ img/antenna_figure_of_merit.png | Bin 0 -> 32015 bytes img/multi_patch_antenna.png | Bin 0 -> 84730 bytes img/single_patch_antenna.png | Bin 0 -> 8777 bytes 4 files changed, 2148 insertions(+) create mode 100644 Autograd28RFPatchAntenna.ipynb create mode 100644 img/antenna_figure_of_merit.png create mode 100644 img/multi_patch_antenna.png create mode 100644 img/single_patch_antenna.png diff --git a/Autograd28RFPatchAntenna.ipynb b/Autograd28RFPatchAntenna.ipynb new file mode 100644 index 00000000..acc602f3 --- /dev/null +++ b/Autograd28RFPatchAntenna.ipynb @@ -0,0 +1,2148 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "# Adjoint Optimization of planar RF Antennas\n", + "\n", + "In the [Antenna Characteristics](https://www.flexcompute.com/tidy3d/examples/notebooks/AntennaCharacteristics/) notebook, we introduce the characterization of a rectangular patch antenna using the RF solver. If we were to design that patch antenna for a specific application, we would have two parameters to optimize: the patch width and height. By tuning these parameters, one can search for a structure that is resonant at a desired frequency and is impedance-matched to the antenna feed line. However, to overcome traditional limitations of patch antennas, many designers move beyond the two-parameter rectangular restriction and design antennas that have larger bandwidth or circularly polarized radiation. For example, in the [Circularly Polarized Patch Antenna](https://www.flexcompute.com/tidy3d/examples/notebooks/CircularlyPolarizedPatchAntenna/) notebook, we reproduce a patch antenna simulation from the literature that achieves a low-profile design of circularly polarized radiation via a non-rectangular radiator surrounded by rectangular parasitic strips. As the antenna shape becomes more arbitrary and complex and as the number of supporting structures grows, a designer may want to use a method that directly optimizes across all of their parameters simulataneously. In tidy3d, we can do this via gradient-based optimizations powered by the adjoint method and made accessible through automatic differentiation (autograd). In this notebook, we first demonstrate the simplest patch antenna optimization where we find the optimal width/height of a patch based on a desired radiation frequency. As an extension, we show how to optimize an antenna with broader bandwidth by introducing passive radiating strips around the central patch. Here, the size of the optimization problem is increased as we allow the optimizer to simultaneously tune the dimensions of both the central and surrounding structures. We show these two optimization geometries below. In both cases, we are optimizing the patch shape on top of a substrate and ground plane. The antennas are excited by an offset feed line and radiate above the patches into free space. In the middle, we show the simple patch geometry where the optimization parameters are just the patch width and height. On the right, we show the higher dimensional optimization where the geometric parameters and relative positions for multiple patches can be optimized simultaneously.\n", + "\n", + "
\n", + " \n", + " \n", + " \n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2.8.3\n" + ] + } + ], + "source": [ + "# Tidy3d import and set logging level\n", + "import tidy3d as td\n", + "td.config.logging_level = \"ERROR\"\n", + "\n", + "print(td.__version__)\n", + "\n", + "# External modules needed for this notebook\n", + "import numpy as np\n", + "import autograd.numpy as anp\n", + "from autograd import value_and_grad\n", + "import optax\n", + "\n", + "# Tidy3d plugin import\n", + "import tidy3d.plugins.smatrix as smatrix\n", + "from tidy3d.web import run\n", + "\n", + "# Libraries and configuration for printing and display\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches as patches\n", + "from rich.console import Console\n", + "from rich.text import Text\n", + "console = Console()\n", + "\n", + "print_decimal_places = 2\n", + "num_optimization_prints = 10" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Configuration and Parameters\n", + "\n", + "In this first section, we set up a variety of parameters for the optimization problems, including the frequency bands and resonance targets as well as useful geometric parameters. Similar to other RF examples, we introduce a scaling factor to convert the default unit in Tidy3D of micrometers to millimeters (mm), which is more commonly used in antenna simulations." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "#\n", + "# Length scales and geometric parameters for optimization\n", + "#\n", + "mm = 1e3 # mm scaling\n", + "\n", + "# Feedline parameters\n", + "feed_x = 2.46 * mm # width of feed\n", + "feed_y = 20 * mm # length of feed\n", + "feed_offset = 2.09 * mm # feed offset from center of patch\n", + "\n", + "# Substrate geometric parameters - broken into substrate sizes for the single patch optimization that comes\n", + "# first and the multi-patch optimization that comes second where we need a larger substrate to\n", + "# support the larger antenna geometry\n", + "single_patch_sub_width = 23.34 * mm\n", + "single_patch_sub_height_extension = 25 * mm\n", + "\n", + "sub_x_single_patch = [-0.5 * single_patch_sub_width, 0.5 * single_patch_sub_width]\n", + "sub_y_single_patch = [-feed_y, single_patch_sub_height_extension]\n", + "sub_z = 0.794 * mm\n", + "\n", + "multi_patch_sub_width = 3 * 23.34 * mm\n", + "multi_patch_sub_height_extension = 1.75 * 25 * mm\n", + "\n", + "sub_x_multi_patch = [-0.5 * multi_patch_sub_width, 0.5 * multi_patch_sub_width]\n", + "sub_y_multi_patch = [-feed_y, multi_patch_sub_height_extension]\n", + "\n", + "# Frequency range\n", + "freq_start = 7e9\n", + "freq_stop = 11e9\n", + "freq_bounds = [freq_start, freq_stop]\n", + "opt_sim_freqs = [8e9, 10e9]\n", + "\n", + "freq0 = (freq_start + freq_stop) / 2 # Central frequency\n", + "wavelength0 = td.C_0 / freq0 # Wavelength of centeral frequency in vacuum\n", + "\n", + "freqs = np.linspace(freq_start, freq_stop, 200)\n", + "\n", + "# Frequencies for computing S-parameters of antennas\n", + "freqs_s_params = freqs\n", + "\n", + "# Frequencies for optimizing different\n", + "opt_freqs_single_patch = [8e9]\n", + "num_opt_freqs_multi_patch = 3\n", + "opt_freqs_multi_patch = np.linspace(8e9, 9.25e9, num_opt_freqs_multi_patch)\n", + "\n", + "#\n", + "# Materials for optimization\n", + "#\n", + "air = td.Medium() # set up the antennas so they radiate into air\n", + "eps_r = 2.2 # substrate permittivity for antennas\n", + "sub_medium = td.Medium(permittivity=eps_r)\n", + "PEC = td.PEC2D # Thickness-free PEC medium for antenna patches, feed lines, and the ground plane" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Create Simulation Objects\n", + "\n", + "To prepare for the optimization, we need to make a base simulation that we can add the antenna geometry and excitation source to. This base simulation includes the ground plane and substrate, the two structures below the patch antenna. In this simulation, we also set up a mesh override region to cover the region of the simulation with PEC. We use a very fine mesh here to improve accuracy of both the simulation and PEC gradients. As in other RF examples, the source will be added later via a `LumpedPort`." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def create_base_sim(sub_x_bounds, sub_y_bounds):\n", + " \"\"\"\n", + " Creates the base simulation for evaluating and optimizing patch antennas. The base simulation includes the\n", + " substrate geometry, and ground plane. It also overrides the vertical\n", + " slice of the simulation with a fine mesh override to ensure accurate simulation and gradients near PEC boundaries.\n", + " \"\"\"\n", + " substrate_box = td.Box.from_bounds(\n", + " [sub_x_bounds[0], sub_y_bounds[0], -sub_z / 2.0],\n", + " [sub_x_bounds[1], sub_y_bounds[1], sub_z / 2.0],\n", + " )\n", + " # Define substrate structure\n", + " substrate = td.Structure(\n", + " geometry=substrate_box,\n", + " medium=sub_medium,\n", + " )\n", + "\n", + " # Define ground plane structure and assign the material by PEC\n", + " ground_plane = td.Structure(\n", + " geometry=substrate_box.updated_copy(\n", + " center=list(substrate_box.center[0:2]) + [-sub_z / 2.0],\n", + " size=list(substrate_box.size[0:2]) + [0],\n", + " ),\n", + " medium=PEC,\n", + " )\n", + "\n", + " # List of structures for the simulation.\n", + " # Arrange structures in the following order: dielectric first, followed by PEC.\n", + " # This ensures that PEC override dielectric at the interfaces.\n", + " # Reversing the order may lead to inaccurate solutions.\n", + " structures_list = [substrate, ground_plane]\n", + "\n", + " # PML wavelength at 10 GHz\n", + " wl_pml = wavelength0\n", + "\n", + " # Quarter wavelength (at 10 GHz) padding on each side\n", + " sim_x_size = sub_x_bounds[1] - sub_x_bounds[0] + wl_pml / 2.0\n", + " sim_y_size = sub_y_bounds[1] - sub_y_bounds[0] + wl_pml / 2.0\n", + " sim_y_center = np.mean(sub_y_bounds)\n", + "\n", + " sim_z_max = sub_z + 1.5 * wavelength0\n", + " sim_z_min = sub_z - 0.5 * wavelength0\n", + " sim_z_center = 0.5 * (sim_z_max + sim_z_min)\n", + " sim_z_size = sim_z_max - sim_z_min\n", + "\n", + " dl = wavelength0 / 200.0\n", + " mesh_override_vertical_padding = 1 * mm\n", + "\n", + " mesh_overrides = [\n", + " td.MeshOverrideStructure(\n", + " geometry=td.Box(\n", + " center=(0, sim_y_center, 0.0),\n", + " size=(sim_x_size, sim_y_size, sub_z + mesh_override_vertical_padding),\n", + " ),\n", + " dl=[dl, dl, dl],\n", + " )\n", + " ]\n", + "\n", + " # Truncate the computational domain by PMLs\n", + " boundary_spec = td.BoundarySpec(\n", + " x=td.Boundary.pml(),\n", + " y=td.Boundary.pml(),\n", + " z=td.Boundary.pml(),\n", + " )\n", + "\n", + " # Create the simulation object\n", + " base_sim = td.Simulation(\n", + " center=[0.0, sim_y_center, sim_z_center],\n", + " size=[sim_x_size, sim_y_size, sim_z_size],\n", + " grid_spec=td.GridSpec.auto(\n", + " min_steps_per_wvl=20, # The largest cell size is set to 20 cells per smallest wavelength.\n", + " wavelength=td.C_0 / freq_stop, # Smallest wavelength to resolve\n", + " override_structures=mesh_overrides,\n", + " ),\n", + " structures=structures_list,\n", + " sources=[], # Sources will be added by TerminalComponentModeler\n", + " monitors=[],\n", + " run_time=70 * (substrate.geometry.size[1] / td.C_0),\n", + " boundary_spec=boundary_spec,\n", + " plot_length_units=\"mm\", # This option will make plots default to units of millimeters.\n", + " )\n", + "\n", + " return base_sim" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In addition to the base simulation creation, we set up a function to add a feed line and PEC patches to a simulation object. Later, this will allow us to create an antenna with an arbitrary list of patches and insert it into our base simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def create_simulation_with_patches(base_sim, patch_boxes, monitors):\n", + " \"\"\"\n", + " Creates a new simulation from the base simulation that includes PEC patches for all of the Box\n", + " objects in patch_boxes as well as adds a feed line.\n", + " \"\"\"\n", + " patches = []\n", + " for patch_box in patch_boxes:\n", + " patches.append(td.Structure(geometry=patch_box, medium=PEC))\n", + "\n", + " feed_geometry = td.Box.from_bounds(\n", + " [feed_offset - 0.5 * feed_x, -feed_y, sub_z / 2], [feed_offset + 0.5 * feed_x, 0, sub_z / 2]\n", + " )\n", + "\n", + " feed = td.Structure(geometry=feed_geometry, medium=PEC)\n", + "\n", + " return base_sim.updated_copy(\n", + " structures=list(base_sim.structures) + [feed] + patches,\n", + " monitors=list(base_sim.monitors) + monitors,\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we set up a function to create the `LumpedPort` and `TerminalComponentModeler` that will create the input excitation to the antenna. We can specify an impedance for the port as well as the desired frequencies for the resulting simulation. The `TerminalComponentModeler` contains the simulations to run to evaluate and optimize the antenna." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def create_modeler(simulation, frequencies, port_impedance=50):\n", + " \"\"\"\n", + " Creates the LumpedPort and TerminalComponentModeler based on a `simulation`, the desired\n", + " simulation `frequencies` and a `port_impedance`.\n", + " \"\"\"\n", + " # Setup a LumpedPort for the TerminalComponentModeler, which is needed\n", + " # to end the port with a matched load as well as providing a source for the simulation.\n", + " port = smatrix.LumpedPort(\n", + " center=[feed_offset, -feed_y, 0],\n", + " size=[feed_x, 0, sub_z],\n", + " voltage_axis=2,\n", + " name=\"lumped_port\",\n", + " impedance=port_impedance,\n", + " )\n", + "\n", + " # We integrate the base simulation with the LumpedPort using the TerminalComponentModeler.\n", + " # This allows us to compute scattering parameters and extract any additional data needed from the simulation.\n", + " modeler = smatrix.TerminalComponentModeler(\n", + " simulation=simulation,\n", + " ports=[port],\n", + " freqs=frequencies,\n", + " verbose=True,\n", + " remove_dc_component=False, # Include DC component for more accuracy at low frequencies\n", + " )\n", + "\n", + " return modeler" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Plotting and Evaluation Functions\n", + "\n", + "Here, we set up some helper functions to aid in plotting antenna geometry and evaluating antenna characteristics before and after optimizations. First, we set up a function to plot the antenna structure and feed line along with the surrounding mesh. Near PEC edges, especially when computing gradients, we recommend using a fine mesh. In this function, we can also observe the location where the input source is fed into the antenna to confirm it is at the end of the feed line." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_structures_and_mesh(patch_boxes, sub_x_bounds, sub_y_bounds):\n", + " \"\"\"Plots the antenna structure and surrounding mesh to ensure it looks as expected before running simulations.\"\"\"\n", + " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", + "\n", + " no_additional_monitors = []\n", + " sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n", + " mesh_modeler = create_modeler(sim_with_patches, freqs)\n", + "\n", + " sim_temp = list(mesh_modeler.sim_dict.values())[0]\n", + "\n", + " sim_x_bounds = [\n", + " sim_temp.center[0] - 0.5 * sim_temp.size[0],\n", + " sim_temp.center[0] + 0.5 * sim_temp.size[0],\n", + " ]\n", + "\n", + " sim_y_bounds = [\n", + " sim_temp.center[1] - 0.5 * sim_temp.size[1],\n", + " sim_temp.center[1] + 0.5 * sim_temp.size[1],\n", + " ]\n", + "\n", + " fig, ax = plt.subplots()\n", + "\n", + " # Examine the structure and mesh in the x-y plane\n", + " sim_temp.plot(\n", + " z=sub_z / 2,\n", + " ax=ax,\n", + " hlim=sim_x_bounds,\n", + " vlim=sim_y_bounds,\n", + " monitor_alpha=0.2,\n", + " )\n", + " sim_temp.plot_grid(z=sub_z / 2, ax=ax, hlim=sim_x_bounds, vlim=sim_y_bounds)\n", + "\n", + " # Show the plots\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Second, we set up a function that can calculate the S11 spectrum and antenna directivity. The S11 corresponds to the reflection spectrum back down the feed line, which tells us how much of the input source is leaving the antenna instead of bouncing back down the feed. This is plotted in dB and thus at resonance, we will see a large, negative value corresponding to very low reflection. Before and after an optimization, this is one way to evaluate how well the optimization tuned the geometry for the correct frequencies. In the directivity plot, we can see how much energy is radiating from the antenna and in what direction. For simplicity and to keep plots less crowded, we collect the directivity for the optimization frequencies while we collect the S11 value over a broad spectrum." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def evaluate_antenna(\n", + " patch_boxes, eval_s_params_freqs, opt_freqs, sub_x_bounds, sub_y_bounds\n", + "):\n", + " \"\"\"\n", + " Evaluate the S11 parameter and directivity for the given antenna geometry.\n", + " The S11 is calculated across a broad spectrum while the directivity is only computed for the opt_freqs.\n", + " \"\"\"\n", + "\n", + " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", + " no_additional_monitors = []\n", + " sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n", + "\n", + " theta = np.linspace(-np.pi, np.pi, 200)\n", + " phi = np.linspace(0, np.pi, 100) # phi=0 slice is used later for directivity plots\n", + "\n", + " directivity_center_x = np.mean(sub_x_bounds)\n", + " directivity_center_y = np.mean(sub_y_bounds)\n", + " directivity_size_x = 5 * mm + sub_x_bounds[1] - sub_x_bounds[0] # Ensure mm is defined\n", + " directivity_size_y = 5 * mm + sub_y_bounds[1] - sub_y_bounds[0] # Ensure mm is defined\n", + "\n", + " monitor_directivity = td.DirectivityMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0],\n", + " size=(\n", + " directivity_size_x,\n", + " directivity_size_y,\n", + " 4 * mm, # Ensure mm is defined\n", + " ),\n", + " freqs=opt_freqs,\n", + " name=\"radiation\",\n", + " phi=list(phi),\n", + " theta=list(theta),\n", + " far_field_approx=True,\n", + " )\n", + "\n", + " sim_with_directivity = sim_with_patches.updated_copy(\n", + " monitors=list(sim_with_patches.monitors) + [monitor_directivity]\n", + " )\n", + "\n", + " # We only need whatever frequencies are unique in these two lists to have all the data we need for computing\n", + " # S11 and directivity\n", + " eval_freqs = np.unique(list(eval_s_params_freqs) + list(opt_freqs))\n", + "\n", + " # Assuming create_modeler and run are defined elsewhere and work as expected\n", + " modeler = create_modeler(sim_with_directivity, eval_freqs)\n", + " batch_data = {\n", + " task_name: run(\n", + " simulation=simulation, verbose=False, local_gradient=True, task_name=\"PatchAntennaEval\"\n", + " )\n", + " for task_name, simulation in modeler.sim_dict.items()\n", + " }\n", + " sim_data = batch_data[\"smatrix_lumped_port\"] # This should contain the 'radiation' monitor data\n", + "\n", + " s_matrix = modeler._construct_smatrix()\n", + "\n", + " return s_matrix, sim_data, theta" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Given the optimization results, we can plot the comparison of two antenna simulations using the `plot_antenna_comparison` function below. We can easily compare the initial and final optimization states to see how well the resulting antenna is performing in our desired metrics." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_antenna_comparison(\n", + " s_matrix_list,\n", + " sim_data_list,\n", + " opt_freqs,\n", + " theta,\n", + " sim_names=None,\n", + " single_color_directivity_plots=False,\n", + " savefig_fname=None\n", + "):\n", + " \"\"\"\n", + " Plots a comparison of two sets of simulation data.\n", + "\n", + " Args:\n", + " s_matrix_list: List of S-matrix objects [s_matrix_sim1, s_matrix_sim2].\n", + " sim_data_list: List of sim_data objects [sim_data_sim1, sim_data_sim2],\n", + " where each sim_data contains a \"radiation\" DirectivityMonitor output.\n", + " opt_freqs: List of optimization frequencies to plot for directivity.\n", + " theta: Numpy array of theta angles for polar plots.\n", + " sim_names: Optional list of names for simulations for clearer legends.\n", + " single_color_directivity_plots: Whether or not to use a single color for all the frequencies\n", + " in the directivity plot or have each frequency a different color\n", + " savefig_fname: A filename to save the resulting figure\n", + " \"\"\"\n", + "\n", + " num_simulations = len(s_matrix_list)\n", + " if num_simulations != 2 or len(sim_data_list) != 2:\n", + " print(\"Warning: This function is designed to compare exactly two simulations.\")\n", + "\n", + " alphas = [0.5, 1.0] # Alpha for sim1, sim2\n", + " if sim_names is None or len(sim_names) != num_simulations:\n", + " sim_names = [f\"Sim {i+1}\" for i in range(num_simulations)]\n", + "\n", + " grid_spec_cols = 2 # S11 and Directivity side-by-side\n", + " fig_width = 13.5 # Adjusted for two plots, one with a potentially rich legend\n", + " fig_height = 6.5 # Slightly more height for polar plot legend\n", + "\n", + " num_rows = 1 # Always a single row\n", + "\n", + " fig = plt.figure(figsize=(fig_width, fig_height), constrained_layout=True)\n", + " gs = fig.add_gridspec(num_rows, grid_spec_cols)\n", + " axs_list = []\n", + "\n", + " # --- Plot S11 Parameters (Overlayed) ---\n", + " ax_s11 = fig.add_subplot(gs[0, 0])\n", + " axs_list.append(ax_s11)\n", + " ax_s11.set_title(\"$S_{11}$ Parameters\")\n", + " ax_s11.set_xlabel(\"Frequency (GHz)\")\n", + " ax_s11.set_ylabel(\"$|S_{11}|$ (dB)\")\n", + "\n", + " for sim_idx in range(num_simulations):\n", + " s_matrix = s_matrix_list[sim_idx]\n", + " current_alpha = alphas[sim_idx]\n", + " sim_label_name = sim_names[sim_idx]\n", + "\n", + " s11_freqs_ghz = s_matrix.f / 1e9\n", + " s11_data_selection = s_matrix.isel(port_out=0, port_in=0)\n", + "\n", + " s11_values_flat = s11_data_selection.values.flatten()\n", + " s11_values_db = 20 * np.log10(np.abs(s11_values_flat))\n", + " ax_s11.plot(\n", + " s11_freqs_ghz,\n", + " s11_values_db,\n", + " alpha=current_alpha,\n", + " label=rf\"$|S_{{11}}|$ ({sim_label_name})\",\n", + " ) # Label for legend\n", + " \n", + " \n", + " for opt_freq in opt_freqs:\n", + " ax_s11.axvline(x=opt_freq / 1e9, color='k', linestyle='--')\n", + "\n", + " ax_s11.set_ylim(-25, 2) # Common Y-axis limit\n", + " ax_s11.grid(True)\n", + " if num_simulations > 0:\n", + " ax_s11.legend()\n", + " # --- End of S11 Plot ---\n", + "\n", + " # --- Plot Directivity Patterns (Single Combined Plot) ---\n", + " ax_polar = fig.add_subplot(gs[0, 1], projection=\"polar\")\n", + " axs_list.append(ax_polar)\n", + " ax_polar.set_title(\"Directivity Patterns\")\n", + "\n", + " ax_polar.set_theta_direction(-1)\n", + " ax_polar.set_theta_offset(np.pi / 2.0)\n", + " ax_polar.grid(True)\n", + " ax_polar.set_rlabel_position(22.5)\n", + "\n", + " overall_max_directivity = -np.inf\n", + " color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", + "\n", + " for freq_idx, eval_freq in enumerate(opt_freqs):\n", + " base_color = color_cycle[freq_idx % len(color_cycle)]\n", + " if single_color_directivity_plots:\n", + " base_color = color_cycle[0]\n", + " freq_label_for_legend = f\"{eval_freq/1e9:.2f} GHz\"\n", + "\n", + " # Plot data for each simulation for the current frequency\n", + " for sim_idx in range(num_simulations):\n", + " sim_data = sim_data_list[sim_idx]\n", + " current_alpha = alphas[sim_idx]\n", + "\n", + " directivity_data_array = sim_data[\"radiation\"].directivity.sel(\n", + " f=eval_freq, phi=0, method=\"nearest\"\n", + " )\n", + " D_values_for_plot = directivity_data_array.squeeze().values\n", + "\n", + " current_max_val = np.max(D_values_for_plot)\n", + " if current_max_val > overall_max_directivity:\n", + " overall_max_directivity = current_max_val\n", + "\n", + " # Label only the second simulation's line (alpha=1.0) for the legend entry of this frequency\n", + " label_to_use = (\n", + " f\"{freq_label_for_legend} ({sim_names[sim_idx]})\" # if sim_idx == 1 else None\n", + " )\n", + " ax_polar.plot(\n", + " theta, D_values_for_plot, color=base_color, alpha=current_alpha, label=label_to_use\n", + " )\n", + "\n", + " if overall_max_directivity == -np.inf: # No valid data points found\n", + " overall_max_directivity = 1.0\n", + "\n", + " ax_polar.set_rlim(0, overall_max_directivity * 1.1 if overall_max_directivity > 0 else 1.0)\n", + " ax_polar.legend(title=\"Frequency (GHz)\", loc=\"best\", fontsize=\"small\")\n", + " # --- End of Directivity Plot ---\n", + "\n", + " fig.suptitle(\"Antenna Simulation Comparison\", fontsize=16)\n", + "\n", + " if savefig_fname:\n", + " plt.savefig(savefig_fname)\n", + " \n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We set up a function to plot the figure of merit trajectory of the optimziation and compare the initial and final antenna geometries. This is an indication of how well the optimization worked as well as a demonstration of the overall change that occurred over the course of the optimization. For the single patch antenna, these changes are small and show a tuning of the width and height, but we will see in the higher-dimensional optimization that the central and surrounding patches change significantly while optimizing for a broad band figure of merit." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_optimization_results(figure_of_merit, feed_rect, init_rectangles, final_rectangles, savefig_fname=None):\n", + " \"\"\"\n", + " Plots a main rectangle and two lists of other rectangles with specified styles.\n", + "\n", + " Args:\n", + " main_rect (Rect): The primary rectangle to be plotted in gold.\n", + " It should have 'center' (tuple) and 'size' (tuple) attributes.\n", + " list1_rects (list[Rect]): A list of rectangles to be plotted in gray\n", + " with 0.25 transparency and a dotted black border.\n", + " list2_rects (list[Rect]): A list of rectangles to be plotted in gold.\n", + " savefig_fname: A filename to save the resulting figure\n", + "\n", + " \"\"\"\n", + " fig, ax = plt.subplots(1, 2)\n", + " ax[1].set_aspect(\"equal\", adjustable=\"box\") # Ensure squares look like squares\n", + "\n", + " all_rects_params = [] # To store (x_bl, y_bl, width, height) for limit calculation\n", + "\n", + " # Helper function to add a rectangle and collect its parameters\n", + " def add_rectangle_to_plot(\n", + " rect_obj, facecolor, alpha=1.0, edgecolor=\"black\", linestyle=\"solid\", legend=None\n", + " ):\n", + " \"\"\"\n", + " Adds a single rectangle to the plot and collects its parameters.\n", + "\n", + " Args:\n", + " rect_obj (Rect): The rectangle object with 'center' and 'size'.\n", + " facecolor (str): The face color of the rectangle.\n", + " alpha (float): The transparency of the rectangle.\n", + " edgecolor (str): The edge color of the rectangle.\n", + " linestyle (str): The line style of the rectangle's border.\n", + " \"\"\"\n", + " center_x, center_y, _ = rect_obj.center\n", + " width, height, _ = rect_obj.size\n", + "\n", + " center_x /= mm\n", + " center_y /= mm\n", + " width /= mm\n", + " height /= mm\n", + "\n", + " # Calculate bottom-left corner coordinates\n", + " bottom_left_x = center_x - width / 2\n", + " bottom_left_y = center_y - height / 2\n", + "\n", + " all_rects_params.append((bottom_left_x, bottom_left_y, width, height))\n", + "\n", + " rect_patch = patches.Rectangle(\n", + " (bottom_left_x, bottom_left_y),\n", + " width,\n", + " height,\n", + " facecolor=facecolor,\n", + " alpha=alpha,\n", + " edgecolor=edgecolor,\n", + " linestyle=linestyle,\n", + " linewidth=1, # Default linewidth for borders\n", + " label=legend,\n", + " )\n", + " ax[1].add_patch(rect_patch)\n", + "\n", + " add_rectangle_to_plot(\n", + " feed_rect, facecolor=\"gold\", edgecolor=\"black\"\n", + " ) # Added black edge for consistency\n", + "\n", + " legends_init_rect = [\n", + " \"initial\" if (idx == 0) else None for idx in range(0, len(init_rectangles))\n", + " ]\n", + " legends_final_rect = [\n", + " \"final\" if (idx == 0) else None for idx in range(0, len(final_rectangles))\n", + " ]\n", + "\n", + " # Plot rectangles from the second list (gold)\n", + " for idx, rect_obj in enumerate(final_rectangles):\n", + " add_rectangle_to_plot(\n", + " rect_obj, facecolor=\"gold\", edgecolor=\"black\", legend=legends_final_rect[idx]\n", + " ) # Added black edge for consistency\n", + "\n", + " # Plot rectangles from the first list (gray, 0.25 alpha, dotted black border)\n", + " for idx, rect_obj in enumerate(init_rectangles):\n", + " add_rectangle_to_plot(\n", + " rect_obj,\n", + " facecolor=\"gray\",\n", + " alpha=0.25,\n", + " edgecolor=\"black\",\n", + " linestyle=\"dotted\",\n", + " legend=legends_init_rect[idx],\n", + " )\n", + "\n", + " # Calculate plot limits\n", + " if all_rects_params:\n", + " min_x = min(p[0] for p in all_rects_params)\n", + " min_y = min(p[1] for p in all_rects_params)\n", + " # Max x is bottom_left_x + width\n", + " # Max y is bottom_left_y + height\n", + " max_x = max(p[0] + p[2] for p in all_rects_params)\n", + " max_y = max(p[1] + p[3] for p in all_rects_params)\n", + "\n", + " # Add some padding to the limits\n", + " padding_x = (max_x - min_x) * 0.1 if (max_x - min_x) > 0 else 1\n", + " padding_y = (max_y - min_y) * 0.1 if (max_y - min_y) > 0 else 1\n", + "\n", + " ax[1].set_xlim(min_x - padding_x, max_x + padding_x)\n", + " ax[1].set_ylim(min_y - padding_y, max_y + padding_y)\n", + " else:\n", + " # Default limits if no rectangles are plotted\n", + " ax[1].set_xlim(-5, 5)\n", + " ax[1].set_ylim(-5, 5)\n", + "\n", + " ax[1].set_title(\"Antenna Geometry\")\n", + " ax[1].set_xlabel(\"X-coordinate (mm)\")\n", + " ax[1].set_ylabel(\"Y-coordinate (mm)\")\n", + " ax[1].grid(True, linestyle=\"--\", alpha=0.7)\n", + "\n", + " ax[1].legend(loc=\"lower left\", bbox_to_anchor=(1.0, 0.75))\n", + "\n", + " ax[0].plot(figure_of_merit, color=\"green\", linewidth=2)\n", + " ax[0].set_title(\"Optimization\")\n", + " ax[0].set_xlabel(\"Iteration\")\n", + " ax[0].set_ylabel(\"Figure of Merit\")\n", + "\n", + " if savefig_fname:\n", + " plt.savefig(savefig_fname)\n", + " \n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Demonstrating Gradient Based Optimization of a Single Patch Antenna\n", + "\n", + "In our first optimization, we use the adjoint gradients to tune the width and height of a single patch antenna element. This is a good way to validate the gradients and optimization figures of merit are working as expected before moving onto a more complex optimization. As a first step, we create our objective function that we can use for both of our optimizations. This function takes in parameters defining the antenna geometry as well as a function to convert those parameters to `Box` geometries that we can import into the simulation. Further, it allows us to specify the optimization monitors we want to use since we will modify the placement of these monitors based on the overall patch antenna size. After adding the source via the `TerminalComponentModeler`, we run a simulation and measure the flux through two monitors, as depicted below. The first measures the flux leaving the end of the feed line and thus is a measure of how much energy is reflected and the second measures the flux radiating above the antenna. This radiation for now attempts to direct radiated power above the antenna and thus serves as a proxy for optimizing directivity in the normal direction from the antenna. After performing a weighted optimization over frequency, the two figures are combined together into one by taking the average radiated flux and subtracting the average reflected flux.\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "def objective_fn(\n", + " patch_params, patch_params_to_boxes, sub_x_bounds, sub_y_bounds, optimization_monitors\n", + "):\n", + " \"\"\"\n", + " Objective function for an antenna optimization that converts `patch_params` into tidy3d Box\n", + " geometries via the supplied `patch_params_to_boxes` function. The `sub_x_bounds`, `sub_y_bounds`,\n", + " and `optimization_monitors` allow us to customize both the geometry and objective function\n", + " given the specific antenna we are optimizing for.\n", + " \"\"\"\n", + " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", + "\n", + " # add antenna patches to simulation\n", + " sim_with_patches = create_simulation_with_patches(\n", + " base_sim, patch_params_to_boxes(patch_params), optimization_monitors\n", + " )\n", + "\n", + " # create the `TerminalComponentModeler` to add the source and get the simulation we can run\n", + " # to evaluate the antenna performance\n", + " modeler = create_modeler(sim_with_patches, opt_sim_freqs)\n", + "\n", + " # run the simulations for the antenna\n", + " batch_data = {\n", + " task_name: run(\n", + " simulation=simulation,\n", + " verbose=False,\n", + " local_gradient=True,\n", + " task_name=\"PatchAntennaOptimization\",\n", + " )\n", + " for task_name, simulation in modeler.sim_dict.items()\n", + " }\n", + "\n", + " # based on the antenna simulation, extract the monitor data we need to compute the\n", + " # figure of merit\n", + " radiation_fields = batch_data[\"smatrix_lumped_port\"][\"radiation_monitor\"]\n", + " feed_fields = batch_data[\"smatrix_lumped_port\"][\"feed_reflection_monitor\"]\n", + "\n", + " #\n", + " # Now we compute two figures of merit: (1) the reflected flux back down the feed line for the\n", + " # optimization frequencies and (2) the radiated flux through a monitor above the patch. These\n", + " # two figures of merit are each weighted by frequency based on their current performance and then\n", + " # combined together with a difference where we want to increase the radiated flux and decrease\n", + " # the reflected flux.\n", + " #\n", + " small_flux = 100 # small value of flux for the given geometry and frequency range\n", + " get_feed_flux_by_frequency = np.abs(feed_fields.flux.values)\n", + " # merit function for reflected frequency to use with performance weighting that\n", + " # is high when a given frequency has low reflected flux\n", + " get_feed_merit_by_frequency = 1.0 / (get_feed_flux_by_frequency + small_flux)\n", + "\n", + " get_radiation_flux_by_frequency = np.abs(radiation_fields.flux.values)\n", + " get_radiation_merit_by_frequency = get_radiation_flux_by_frequency\n", + "\n", + " def weights_from_merit(merit):\n", + " \"\"\"\n", + " Computes performance based weights that sum to a total weight of 1.\n", + " For a given frequency, the weights are inversely tied to the performance\n", + " so that figures of merit that are lagging get favored more than those that\n", + " are leading.\n", + " \"\"\"\n", + " weights = (2.0 / len(merit)) - (merit**2 / np.sum(merit**2))\n", + " clip_weights = np.maximum(weights, 0)\n", + " renorm_weights = clip_weights / np.sum(clip_weights)\n", + "\n", + " return renorm_weights\n", + "\n", + " # compute reflected weights and radiated weights based on merit\n", + " feed_weights = weights_from_merit(get_feed_merit_by_frequency)\n", + " radiation_weights = weights_from_merit(get_radiation_merit_by_frequency)\n", + "\n", + " # compute the reflected and radiated figures of merit\n", + " feed_avg = np.sum(feed_weights * get_feed_flux_by_frequency)\n", + " radiation_avg = np.sum(radiation_weights * get_radiation_flux_by_frequency)\n", + "\n", + " return radiation_avg - feed_avg # combine figures of merit with difference and return" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We then create a helper function to convert the patch width and height parameters to the antenna geometry for a single patch. To check out setup, we plot what the resulting antenna will look like when inserted into a simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "889be42aa6ab45a09e29de0af1995fc6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
15:47:08 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:47:08 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:47:09 EDT Maximum FlexCredit cost: 0.172 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:47:09 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.172\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "93df200165144b26991364a43ff76372", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "47175e0c61d549619094a00523e101e5",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def params_to_boxes_single_patch(patch_wh):\n",
+    "    \"\"\"Convert single patch parameters into patch geometry.\"\"\"\n",
+    "    return [\n",
+    "        td.Box.from_bounds(\n",
+    "            [-0.5 * patch_wh[0], 0.0, sub_z / 2.0], [0.5 * patch_wh[0], patch_wh[1], sub_z / 2.0]\n",
+    "        )\n",
+    "    ]\n",
+    "\n",
+    "# set an initial width and height for the patch\n",
+    "patch_init_width = 12.45 * mm\n",
+    "patch_init_height = 16 * mm\n",
+    "patch_init_wh = anp.array([patch_init_width, patch_init_height])\n",
+    "\n",
+    "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n",
+    "plot_structures_and_mesh(\n",
+    "    params_to_boxes_single_patch(patch_init_wh), sub_x_single_patch, sub_y_single_patch\n",
+    ")\n",
+    "# Helper function for evaluating antenna performance for a single patch\n",
+    "evaluate_single_antenna = lambda patch_wh, eval_s_params_freqs, opt_freqs: (\n",
+    "    evaluate_antenna(\n",
+    "        params_to_boxes_single_patch(patch_wh),\n",
+    "        eval_s_params_freqs,\n",
+    "        opt_freqs,\n",
+    "        sub_x_single_patch,\n",
+    "        sub_y_single_patch,\n",
+    "    )\n",
+    ")\n",
+    "# Compute S11 and directivity for the inital patch geometry\n",
+    "s_matrix_init, sim_data_init, theta = evaluate_single_antenna(\n",
+    "    patch_init_wh, freqs_s_params, opt_freqs_single_patch\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We set up a few parameters for the antenna optimizations to constrain widths and heights of antenna elements to practical ranges given the frequency band we are optimizing within."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "patch_min_width = 8 * mm\n",
+    "patch_min_height = 8 * mm\n",
+    "\n",
+    "patch_max_width = 18 * mm\n",
+    "patch_max_height = 24 * mm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now, we set up the objective function for our single patch optimization and use the `Adam` optimizer from `optax` to modify the patch width and height according to the adjoint gradient."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 1\n",
+       "        Gradient (width, height): -904.902875468008, -105.01109630902727\n",
+       "        Params (width, height):   12400.0, 15950.0\n",
+       "        Figure of merit:          932004.54\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 1\u001b[0m\n", + " Gradient (width, height): \u001b[35m-904.902875468008, -105.01109630902727\u001b[0m\n", + " Params (width, height): \u001b[34m12400.0, 15950.0\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m932004.54\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 2\n",
+       "        Gradient (width, height): -643.2900101484347, -175.93777550026613\n",
+       "        Params (width, height):   12351.1337890625, 15900.8828125\n",
+       "        Figure of merit:          1173338.31\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 2\u001b[0m\n", + " Gradient (width, height): \u001b[35m-643.2900101484347, -175.93777550026613\u001b[0m\n", + " Params (width, height): \u001b[34m12351.1337890625, 15900.8828125\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1173338.31\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 3\n",
+       "        Gradient (width, height): -1153.058381456665, -219.30193227556845\n",
+       "        Params (width, height):   12301.9267578125, 15851.625\n",
+       "        Figure of merit:          1326802.74\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 3\u001b[0m\n", + " Gradient (width, height): \u001b[35m-1153.058381456665, -219.30193227556845\u001b[0m\n", + " Params (width, height): \u001b[34m12301.9267578125, 15851.625\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1326802.74\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# location of field monitor for computing the radiated flux \n", + "compute_radiation_z = wavelength0\n", + "\n", + "# set up the single patch radiation monitor sizes\n", + "obj_fn_monitor_dim_single_patch = 1.25 * np.mean(patch_init_wh)\n", + "obj_fn_monitor_center_y_single_patch = 0.5 * patch_init_wh[1]\n", + "\n", + "# set up the feed monitor to use and share between both optimizations\n", + "feed_monitor_center = (feed_offset, -feed_y - 2 * mm, 0.0)\n", + "feed_monitor_size = (10 * mm, 0, 10 * mm)\n", + "\n", + "single_patch_optimization_monitors = [\n", + " td.FieldMonitor(\n", + " center=(0.0, obj_fn_monitor_center_y_single_patch, compute_radiation_z),\n", + " size=(obj_fn_monitor_dim_single_patch, obj_fn_monitor_dim_single_patch, 0),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"radiation_monitor\",\n", + " ),\n", + " td.FieldMonitor(\n", + " center=feed_monitor_center,\n", + " size=feed_monitor_size,\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"feed_reflection_monitor\",\n", + " ),\n", + "]\n", + "\n", + "# set up the objective function for the single patch that is a function\n", + "# of the patch width and height\n", + "obj_fn = lambda patch_wh: objective_fn(\n", + " patch_wh,\n", + " params_to_boxes_single_patch,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " single_patch_optimization_monitors,\n", + ")\n", + "\n", + "# get function to compute the gradient of the objective\n", + "obj_val_and_grad = value_and_grad(obj_fn)\n", + "\n", + "patch_wh = patch_init_wh.copy()\n", + "\n", + "# set up optimization parameters and optimizer\n", + "learning_rate = 50\n", + "optimizer = optax.adam(learning_rate=learning_rate)\n", + "opt_state = optimizer.init(patch_wh)\n", + "\n", + "num_steps = 20\n", + "print_iteration_frequency = np.maximum(num_steps // num_optimization_prints, 1)\n", + "\n", + "# set bounds on patch width and height in the optimization\n", + "clip_min_wh = anp.array([patch_min_width, patch_min_height])\n", + "clip_max_wh = anp.array([patch_max_width, patch_max_height])\n", + "\n", + "figure_of_merit_single_patch = np.zeros(num_steps + 1)\n", + "\n", + "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", + "# at each step and clipping the design on the bounds\n", + "for step_idx in range(0, num_steps):\n", + " f, g = obj_val_and_grad(patch_wh)\n", + "\n", + " figure_of_merit_single_patch[step_idx] = f\n", + "\n", + " updates, opt_state = optimizer.update(-g, opt_state, patch_wh)\n", + "\n", + " patch_wh = optax.apply_updates(patch_wh, updates)\n", + " patch_wh = anp.array(patch_wh)\n", + " patch_wh = anp.clip(patch_wh, a_min=clip_min_wh, a_max=clip_max_wh)\n", + "\n", + " if (step_idx % print_iteration_frequency) == 0:\n", + " output_text = Text.assemble(\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"), \"\\n\",\n", + " (f\"\\tGradient (width, height): \", \"\"), (f\"{g[0]}, {g[1]}\", \"magenta\"), \"\\n\",\n", + " (f\"\\tParams (width, height): \", \"\"), (f\"{patch_wh[0]}, {patch_wh[1]}\", \"blue\"), \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"), (f\"{f:.{print_decimal_places}f}\", \"bold green\")\n", + " )\n", + " console.print(output_text)\n", + "\n", + "figure_of_merit_single_patch[num_steps] = obj_fn(patch_wh)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We now plot the results of the optimization, starting with the evolution of the figure of merit by iteration and the resulting patch geometry. Both the width and height of the patch are adjusted via the gradient to shift the resonance near the target frequency. We can see this in the next set of plots where we evaluate the S11 reflection spectrum and the antenna directivity at the target frequency for both the initial and final geometry. On the S11 plot, the black dashed line shows the location of the optimization frequency which we can see is close to the resulting resonant dip in the reflection spectrum." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the results of the optimization including the optimization trajectory and the resulting patch geometry\n", + "# compared to the initial state\n", + "plot_optimization_results(\n", + " figure_of_merit_single_patch,\n", + " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", + " params_to_boxes_single_patch(patch_init_wh),\n", + " params_to_boxes_single_patch(patch_wh),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cb7df6a3c5974cf39bdd1de9382fc873", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
15:48:45 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:48:45 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:48:46 EDT Maximum FlexCredit cost: 0.172 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:48:46 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.172\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ba1ef51d0af849b799e8b7eaaad679cf", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:48:47 EDT Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:48:47 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "24fd47c6ef06439db4c7848b1b824843",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "7f7d298d1b2c46dc88274f2da0ffe0f7",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
15:49:28 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:49:28 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:49:30 EDT Maximum FlexCredit cost: 0.172 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:49:30 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.172\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f2ae8622af104db2bef6f7302fd5d934", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "25c36dd27f83465d82535045b6cf3265",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Helper function for evaluating antenna performance for a single patch\n", + "evaluate_single_antenna = lambda patch_wh, eval_s_params_freqs, opt_freqs: (\n", + " evaluate_antenna(\n", + " params_to_boxes_single_patch(patch_wh),\n", + " eval_s_params_freqs,\n", + " opt_freqs,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " )\n", + ")\n", + "# Compute S11 and directivity for the inital patch geometry\n", + "s_matrix_init, sim_data_init, theta = evaluate_single_antenna(\n", + " patch_init_wh, freqs_s_params, opt_freqs_single_patch\n", + ")\n", + "# Compute S11 and directivity for the optimized patch geometry\n", + "s_matrix_final, sim_data_final, theta = evaluate_single_antenna(\n", + " patch_wh, freqs_s_params, opt_freqs_single_patch\n", + ")\n", + "# Plot the comparison in S11 and directivity for the initial and optimized antennas\n", + "plot_antenna_comparison(\n", + " [s_matrix_init, s_matrix_final],\n", + " [sim_data_init, sim_data_final],\n", + " opt_freqs_single_patch,\n", + " theta,\n", + " [\"before optimization\", \"after optimization\"],\n", + ")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Expanding the Design Space: Optimizing a Patch Antenna with Coupled Passive Radiators\n", + "\n", + "In the next optimization, we optimize a patch antenna with larger bandwidth. The appropriate choice of patch width and height for a single radiator doesn't typically require an advanced optimization technique. Based on the patch antenna operating principle, initial values for these parameters can be found and small tweaks or even parameter sweeps can identify geometries with the desired resonant behavior. By optimizing via the adjoint method in the single patch example, we validated we could also optimize the geometry via gradients. In cases where there are not intuitive solutions or we would like to take advantage of a larger number of degrees of freedom, the adjoint method becomes increasingly useful. Below, we add passive radiating structures that couple to the central patch and optimize both their geometries and their relative position to the central patch. The degrees of freedom are indicated in the diagram below, but in summary we move the 2-dimensional patch antenna optimization to one with 14 dimensions. Here, we utilize gradients computed via the adjoint method to optimize a figure of merit for broader band radiation.\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "num_passive_radiators = 3\n", + "\n", + "# set min/max patch dimensions for the central and all surrounding patches\n", + "min_patch_dimensions_mm = sum([[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], [])\n", + "max_patch_dimensions_mm = sum([[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], [])\n", + "\n", + "# set min/max gap between central patch and each surrounding patch\n", + "min_gap_mm = [1*mm for idx in range(0, num_passive_radiators)]\n", + "max_gap_mm = [5*mm for idx in range(0, num_passive_radiators)]\n", + "\n", + "# set min/max offset of each surrounding patch center relative to the central patch center\n", + "min_offset_mm = [-8*mm for idx in range(0, num_passive_radiators)]\n", + "max_offset_mm = [8*mm for idx in range(0, num_passive_radiators)]\n", + "\n", + "# combine all the min/max values into clipping arrays to use in the optimization\n", + "clip_min_values = min_patch_dimensions_mm + min_gap_mm + min_offset_mm\n", + "clip_max_values = max_patch_dimensions_mm + max_gap_mm + max_offset_mm\n", + "\n", + "# set initial patch sizes, gaps, and offsets\n", + "min_dim_avg = 0.5 * (patch_min_width + patch_min_height)\n", + "init_passive_wh = [\n", + " min_dim_avg,\n", + " 0.5 * (patch_min_height + patch_max_height),\n", + " 0.5 * (patch_min_width + patch_max_width),\n", + " min_dim_avg,\n", + " min_dim_avg,\n", + " 0.5 * (patch_min_height + patch_max_height),\n", + "]\n", + "\n", + "init_gap_sizes = [2 * mm for idx in range(0, num_passive_radiators)]\n", + "\n", + "init_offset_coord_locations = [0.5 * patch_init_wh[1], 0.0, 0.5 * patch_init_wh[1]]\n", + "\n", + "# start the central patch at teh same initial width/height as in the single patch case\n", + "init_params = list(patch_init_wh.copy())\n", + "init_params += init_passive_wh\n", + "\n", + "init_params += init_gap_sizes\n", + "init_params += init_offset_coord_locations\n", + "\n", + "assert num_passive_radiators == 3, \"The multi patch optimization is set up specifically for 3 passive radiators.\"\n", + "\n", + "def params_to_boxes_multi_patch(params):\n", + " \"\"\"\n", + " Unpack the multi-patch optimizatin parameters into patch geometries for the central\n", + " patch and the surrounding passive radiating patches.\n", + " \"\"\"\n", + " num_params_wh_central = 2\n", + " wh_central = params[0:num_params_wh_central]\n", + "\n", + " wh_passive_params = params[num_params_wh_central:]\n", + " num_params_wh_passive = 2\n", + "\n", + " wh_passive = []\n", + " for idx in range(0, num_passive_radiators):\n", + " wh_passive.append(wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)])\n", + " \n", + " gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators:]\n", + " gaps = gap_params[0 : num_passive_radiators]\n", + "\n", + " offset_params = gap_params[num_passive_radiators:]\n", + " offset_coords = offset_params[0:num_passive_radiators]\n", + " \n", + " left_central = -0.5 * wh_central[0]\n", + " right_central = 0.5 * wh_central[0]\n", + "\n", + " left_passive_patch_idx = 0\n", + " top_passive_patch_idx = 1\n", + " right_passive_patch_idx = 2\n", + "\n", + " left_passive_right = left_central - gaps[left_passive_patch_idx]\n", + " left_passive_left = left_passive_right - wh_passive[left_passive_patch_idx][0]\n", + " left_passive_bottom = offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n", + " left_passive_top = offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n", + "\n", + " top_passive_bottom = wh_central[1] + gaps[top_passive_patch_idx]\n", + " top_passive_top = top_passive_bottom + wh_passive[top_passive_patch_idx][1]\n", + " top_passive_left = offset_coords[top_passive_patch_idx] - 0.5 * wh_passive[top_passive_patch_idx][0]\n", + " top_passive_right = offset_coords[top_passive_patch_idx] + 0.5 * wh_passive[top_passive_patch_idx][0]\n", + "\n", + " right_passive_left = right_central + gaps[right_passive_patch_idx]\n", + " right_passive_right = right_passive_left + wh_passive[right_passive_patch_idx][0]\n", + " right_passive_bottom = offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n", + " right_passive_top = offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n", + "\n", + " boxes = [\n", + " td.Box.from_bounds(\n", + " [-0.5 * wh_central[0], 0, sub_z / 2], [0.5 * wh_central[0], wh_central[1], sub_z / 2]\n", + " ),\n", + " td.Box.from_bounds(\n", + " [left_passive_left, left_passive_bottom, sub_z / 2], [left_passive_right, left_passive_top, sub_z / 2]\n", + " ),\n", + " td.Box.from_bounds(\n", + " [top_passive_left, top_passive_bottom, sub_z / 2], [top_passive_right, top_passive_top, sub_z / 2]\n", + " ),\n", + " td.Box.from_bounds(\n", + " [right_passive_left, right_passive_bottom, sub_z / 2], [right_passive_right, right_passive_top, sub_z / 2]\n", + " ),\n", + " ]\n", + "\n", + " return boxes\n", + "\n", + "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", + "plot_structures_and_mesh(\n", + " params_to_boxes_multi_patch(init_params), sub_x_multi_patch, sub_y_multi_patch\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
Iteration 1\n",
+       "        Figure of merit: 419853.32\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 1\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m419853.32\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 2\n",
+       "        Figure of merit: 463816.46\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 2\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m463816.46\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 3\n",
+       "        Figure of merit: 497960.36\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 3\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m497960.36\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 4\n",
+       "        Figure of merit: 524246.98\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 4\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m524246.98\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 5\n",
+       "        Figure of merit: 556470.89\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 5\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m556470.89\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# set up the multi patch radiation monitor sizes\n", + "obj_fn_monitor_dim_multi_patch = 2.0 * np.mean(patch_init_wh)\n", + "obj_fn_monitor_center_y_multi_patch = 0.5 * patch_init_wh[1]\n", + "\n", + "multi_patch_optimization_monitors = [\n", + " td.FieldMonitor(\n", + " center=(0.0, obj_fn_monitor_center_y_multi_patch, compute_radiation_z),\n", + " size=(obj_fn_monitor_dim_multi_patch, obj_fn_monitor_dim_multi_patch, 0.0),\n", + " freqs=opt_freqs_multi_patch,\n", + " name=\"radiation_monitor\",\n", + " ),\n", + " # reuse the field monitor from the single patch case\n", + " td.FieldMonitor(\n", + " center=feed_monitor_center,\n", + " size=feed_monitor_size,\n", + " freqs=opt_freqs_multi_patch,\n", + " name=\"feed_reflection_monitor\",\n", + " ),\n", + "]\n", + "\n", + "# set up the objective function for the multi patch optimization that is a function\n", + "# of all of the above width/height, gap, and offset parameters\n", + "obj_fn = lambda patch_params: objective_fn(\n", + " patch_params,\n", + " params_to_boxes_multi_patch,\n", + " sub_x_multi_patch,\n", + " sub_y_multi_patch,\n", + " multi_patch_optimization_monitors,\n", + ")\n", + "\n", + "obj_val_and_grad = value_and_grad(obj_fn)\n", + "\n", + "# initialize patch parameters\n", + "patch_params = anp.array(init_params.copy())\n", + "\n", + "# set up optimization parameters and optimizer\n", + "learning_rate = 60\n", + "optimizer = optax.adam(learning_rate=learning_rate)\n", + "opt_state = optimizer.init(patch_params)\n", + "\n", + "num_steps = 80\n", + "print_iteration_frequency = np.maximum(num_steps // num_optimization_prints, 1)\n", + "\n", + "figure_of_merit_multi_patch = np.zeros(num_steps + 1)\n", + "\n", + "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", + "# at each step and clipping the design on the bounds\n", + "for step_idx in range(0, num_steps):\n", + " f, g = obj_val_and_grad(patch_params)\n", + "\n", + " figure_of_merit_multi_patch[step_idx] = f\n", + "\n", + " updates, opt_state = optimizer.update(-g, opt_state, patch_params)\n", + "\n", + " patch_params = optax.apply_updates(patch_params, updates)\n", + " patch_params = anp.array(patch_params)\n", + " patch_params = anp.clip(patch_params, a_min=clip_min_values, a_max=clip_max_values)\n", + "\n", + " if (step_idx % print_iteration_frequency) == 0:\n", + " # We don't print all of the optimization parameters below to reduce clutter\n", + " output_text = Text.assemble(\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"), \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"), (f\"{f:.{print_decimal_places}f}\", \"bold green\")\n", + " )\n", + " console.print(output_text)\n", + "\n", + "figure_of_merit_multi_patch[num_steps] = obj_fn(patch_params)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After the optimization, we can plot some the figure of merit and compare the optimized antenna geometry to the initial antenna geometry. We can see that the optimization made a significant amount of changes to the antenna structure to realize an antenna with a broader operation band." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the results of the optimization including the optimization trajectory and the resulting geometry of the\n", + "# central and surrounding patches compared to the initial state\n", + "plot_optimization_results(\n", + " figure_of_merit_multi_patch,\n", + " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", + " params_to_boxes_multi_patch(init_params),\n", + " params_to_boxes_multi_patch(patch_params),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also compare the S11 and directivity for the final optimization state with that of the initial state. On the S11 plot, we indicate the frequencies that were optimized for. We can see from the S11 that two of the frequencies have significantly improved reflection and directivity while the third is only minorly improved over the initial state." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a12af15d19bf4132964b71ba923e02c9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
16:06:59 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:06:59 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:07:00 EDT Maximum FlexCredit cost: 0.642 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:07:00 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.642\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "39557545b78d4d4a9daf46b626858ff1", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "651e541561bd43c6a1d41ab09dc4ccfb",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "31048a9fa6bc4450acd7f82d2b65161f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
16:08:43 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:08:43 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:08:45 EDT Maximum FlexCredit cost: 0.642 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:08:45 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.642\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2e64ea4424a74c6d858a30881b7e5eb4", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f32f2310cfee4a48b0aa43397c76252a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Helper function for evaluating antenna performance for the multi patch geometry\n", + "evaluate_multi_antenna = lambda patch_params, eval_s_params_freqs, opt_freqs: (\n", + " evaluate_antenna(\n", + " params_to_boxes_multi_patch(patch_params),\n", + " eval_s_params_freqs,\n", + " opt_freqs,\n", + " sub_x_multi_patch,\n", + " sub_y_multi_patch,\n", + " )\n", + ")\n", + "# Compute S11 and directivity for the inital multi patch geometry\n", + "s_matrix_init, sim_data_init, theta = evaluate_multi_antenna(\n", + " init_params, freqs_s_params, opt_freqs_multi_patch\n", + ")\n", + "# Compute S11 and directivity for the optimized multi patch geometry\n", + "s_matrix_final, sim_data_final, theta = evaluate_multi_antenna(\n", + " patch_params, freqs_s_params, opt_freqs_multi_patch\n", + ")\n", + "# Plot the comparison in S11 and directivity for the initial and optimized antennas\n", + "plot_antenna_comparison(\n", + " [s_matrix_init, s_matrix_final],\n", + " [sim_data_init, sim_data_final],\n", + " opt_freqs_multi_patch,\n", + " theta,\n", + " [\"before\", \"after\"],\n", + ")" + ] + } + ], + "metadata": { + "description": "Patch antennas are widely used in wireless communication applications due to their simple design, ease of fabrication, and low profile. In this notebook, we will demonstrate how to use Tidy3D to simulate a rectangular patch antenna and compute key performance metrics. These include S-parameters using the TerminalComponentModeler, as well as directivity, axial ratio, and polarized far-field components using the DirectivityMonitor.", + "feature_image": "./img/PatchAntenna.png", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "keywords": "patch antenna, directivity, axial ratio, S-parameters, Tidy3d, FDTD", + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.8" + }, + "title": "How to compute directivity and S-parameters of patch antenna using Tidy3D FDTD" + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/img/antenna_figure_of_merit.png b/img/antenna_figure_of_merit.png new file mode 100644 index 0000000000000000000000000000000000000000..8c4ee680261eb6c32921b329659c25896244d617 GIT binary patch literal 32015 zcmaI81z1$w_cjc}2#g{zfHaIW(%mqCN;e1slG5Es4=9LqcS%VK0s_*~0@5lWA)-h( zNWOb`p8xOvyT14PJ{>N`nX}J6XYaM{wbs4vV}yp9{Oy~RH!(0UZYwI>*TTSn2!Nj( zxY*#6o=WRm7#NsOY~|!M6y@X)8g9;3whopU7_9M*al^_GO_HA2Vq8JRNZgQ@s7I(5 zZ<>V3h@cU70xBrwCrl^%M6?`V2i<*{Qb}(|V-b5rlJW{ph#=^{HnYW8VD@}Ye z7d|`7i|7Iu+hg0eS9kr-8`?KLi^m^ipLX6{{aA+)o=a_5|NN(_+uMPH{@Dcn+fs2^ z4m-B3*37g_3vqr26)E)6i2(z5q$fU#78C}3N4(V=|2qw>j};7tdKBI@?JO)ydq{ZK z>flP{jTG?%6!ChNz6|!`&t)%1iFnq;nd5(d(LCwLJb7%vx4u9j)XH=z%!=__d4m5f zYM;Hs(AHPZK594NGG$a{ljX7el&%pzHszcy_MG_p3n3hzFw{(|V|%J&^Lqjh35fNS zx&o=S1`kF05Lj<>OMOKvRaK08;5{w|1QU*d1>RwTzZl`R7|`qY7#PgpHwFe)LKp@P z_zed?8hMca`4%FOhxMQLH_!*lXv--og5TN}ZkCo#?l#UIKk4n_z#dE5>gaputEz}u zI6HEgJ#{v>&Q!6p8`w#ye4*n%cZ{y+NBF4?_?d{Fw&CliRX3fnj zDk{p&!^h3X#|e($bbsdLVdlf>(8|Gna_5U#p{mnnauJ7xg=_Jr66VtHu zv2=KR-_{YVD!4Q$L0(~r>uLV4Z~pf}{~4+4Zs{iH><9*WNd51&{5$x+zx;m=yq;43 zzorxt`0pwI>zn@?iM|CfbvIiun;CiyrFbQ{|F6&fJzjzvy}Zd$LM%V1z2F%<91==fl6WZ&>7(fit)n~d9e*TA^C(H~n|TZFiT9PjqB#g$VE8K+g>@r&=x9rtB^PZyWJ^iIrab&FwVz3sq= zg#7z5HG??anpK-n42CNF^FlIo1c%W<;RwusUW3G@NQ=LB3$gw)2+!t(;(xw{S4&`G z3#8D=iv8!5V0iAoW5F5z|AxCrptg&zUPdl7e%z(5zzfEVPL_{-pNIjA!+?=wcD$-& z-#yKBUivE99-d3{?NVUKq#dJuNXnPfKarb51{}^57V$9Q`tYPMIY8B8M}7Hc@=l-*tG3kK z-?owPeBJLU8nwKF_Z|_Lj0EK0!}NSsC%hHc@oRjGY{mGOdL$uOj(F7T^naEk9_H}9 zmNaOXuJYm*^!#Ku$C+L_sidzxvM=A@uTEX%0`rJ&TO9s{|M0$+)KNxz>VIG4o&Dd!A9rMRBc{J%3SeLkB(C5 zOJ+f;-^M@Gafo)r`t?32U7r!`V)#4!rQ@a`yFo=e+cyt3f2~e7GH4CzO|`5|u0BtD zChWEA^Jb-d(9f8XKb@qI8#BjkJe9lXpSA9O*+G`r-rIcTADq%x-$6%k9yLaAMT>7` zUP#Zu%+EqRa()0gqMaja>m~ce+`+`+9!pTkfZpRiqW<0AHnltjPu;giwcpBT`c?{J zPq#TR`V!w>b{(TiEeN=HPwsVe5%#C>bpr7sp6bB#uHv;}p~&Iis_hw^=$;W6%uirm zo&9B+tkA(q9(;sv&%>9dsT7{$ixn38jLvYpAxmi&u|4p+7#OC@GpyxuJ#JMWG;VzN)$&_<4Y6n0WK6T9K%Nc6$n9PR!S+8J-ksLb z$V8l%l6YyrLn-I`B*qVWfym-E$?y9RJew?$wS#oDEBrt%x*VB#1XTbR<&F|_s^mL5 za{SJMpQ2Gj1LMi7S$;Flg1!$POw^xpEAwNNN7lR<@>|BU_20@rnva%_A3fuBA9mQh zuUoKoyVCsK^2SeE%D&s8G|cFAyTBca|LGMpd}SzJRA;fEW;A(t?vEKw8cOkCJ)A;% zkZ4QNXZy6_FjRh^h`xg&Lu+Zd>mP%A2AexyqQQk?y~`po(BeCNs%30w{?|8P2K&JG z2Z_JuS;^{ri#^8!?MG3#Jb4jB3a{>>CuAYgfA_3Z=oY`_U!8N0?FO^20hn|xPJU{a z(uZB{`c00cQtgM!)$RUfw2&b=i=3J~CiHx!zK|ep@=(l?Y!vEB{8pqeSLcK8T)`vT zw`Lu`nm!bLlW;!#Se(G#tK#UX8V5Fm>*}b zp=vTEsf@NX|EXAkr+~s#qEfuSsKYM+IKBQBvXN+$M^r(Dwq^<)H*}lKe^q3LJ8z#; zKgsZlDOc4|gT$ln=>E%NG+1@WKz~(b#@3p&VX!EX+9$I-T!|E|Qlh~jdiiaki4=?9wy)HE*KY>BM)xjY3%=4^Ahf^;~ zjM=DR%{8M4hmRo7$W4^ka8qKUDqx#=vO*tg#Q3~$KT9~GFDsvS06B_>cD#P3YNi18 zoRcjIkHA8fD!*f9>VAo|w-}6}=|)<={)!$5C(wNX+QgzSQ}6 z3|LxPN678Sk4@&EMgMTj@$TFqHdLOVC(>_rr@7;36jdvhO;pOhy^aKN315RP0SzLr z=&QF!rLvCKn9v@k<~XZ9Nb2qzj>#vdUHqocCl;!ZhYLXGRdAOfdg};pLGHO|PNg>s zuEXyfZ~t&L_={3vBklTn5(19=32o#tbo27RKJ!hcycD|0-8Ft=39=Fieq8C{b0(98 zz)E%O&~$$VhkYvm2ohJfj>pI)^Ejl;1YFkuY`Q>EeQg0ZMcb&e{Klt!uELhyJT47m zI4@2djhPG*IkNDu8O1ND7f)8eqX#G-iqyUhoJJDnFk7q2cNEi`<+;CeB=|NwTSvZf zkSP_o%`IyppTk&T9@puo=lB_Ht3gDlbseH<|k`{eIm3 z+Vgu#|Ih%Qc(*BY)W>*k9pem7abfD($yEh%Y|-KWOj!?mlc-3#@344ycCk8M!JpHz zqbX21-97Vp>@xeq_SHC;@T!%dDfjMS`~zdn|uR}ewrOJFmoScY485Bu+g z?nN>ts1tNd}Ttcm?(xdm8^i-B9qwAttu^26!XMHP|oyj?YU9rYt zU}ZpRcId&aC*qz!q$)9; zU4DwXnBvQ;xgwvCgM%z;SDD35S?Ol?eyY^64=vPG0;PGY*QQorA~*eI*-9C?b1;^G z+rR*3s0x{4M=A93ct3Jgq=L%nVpZ+rsXAWmd$Ger!k~5>h2BMCD$njZ(url~C{@ly zyl7RN6sP!LVpzq@drDP%nqk=fW*r@)x5^D{KDBe6v{CD1>}zi|up&q#AN^)Q{pSWu zBqjKsD38)!_nSSe*&~O(1ifGMqIaijBvwUWBFSL4vc&cdGNBI0#Y)ZX#ko}OkG)Sa zUAGs-YYvj1;aNHGRH?b#y+D2-o)egq|2#_mD)STYB_$=(Kff$zIEFj}-rh__C=7nP zk!+shnW&_cJkk@|k+>jzi*&Tbb&7pg!`U!9E5BxQbetDnErm&1-SYSAEcr=0KQHo< zbFLA0&A_Sr(cR?ht*FC8MK(VP&MnL!fg}|FZm`lp)m=E=90S% z4SJ&879SKLMGT9a-F{9(_N+Y2TDhPfS<-u>wJ`-9JZd;*d z>Qij^TM@A3muo#EZiT{~i5Ri7(I&snKL<14v-`5~)2qpHpq^o#LK1kkl5p6NoVHjX zxEyMA)3r~38Xvrpe*d9F()jYiv(bo)`m+@Eua5w8=-0^Fhc0i6UQ)k7?4JFRet1DG zZjjh<`=V+p&{`_<CG!xe`s_on{Td>eY+R9a%@7>$j9o$R)c~TaV!m>vC2HEh`GdaF2kpQ0pft~wO^zNKZwJzsgt`FzH? z^C5&$g9jKh$HB6C}Wel`O?}0@4{PP29H*vy3Xn= zI@hdU@U5tB+)!obL?soHyoo;QS|L9!_Je` z?GKz$a*ndPSG!O72~d90ei|WZN`Ku>)B3~=UbCPE*o%LR3x}JICtke{w3C$7omLV` z&2kXT@(6>*FcIQmUss=#*6MwWWS@ILH9A)Ku)v>&V(4dAr!XU-9z-(3yDQl1qW*D4 zBc(a-ijmv9Z^2_m@Rwo125oONYd(C@W%{7a&-eA9Ny|{JjAP++8aT_4s;SM@`ffI( zt`6*u?iZW){UAfVZ`Do9XbOX@dsTf+NqneC)L$?D)ogdry~}H1?y7gkz71V!NTWc# zD0g8InFB)9>f;&~SXxSlVZnT-a(inSm#SJqL94YLmA|Sz$L;GPi3T|K80NhP3Bftg z_nY5icyC?xSW0rG{CGjDI+ad?vs|HOoo8(KL{e8<2t>P1sE**4^zV!4P8K`?{o2Dx z-n^Rmv@vrWxJcYH)I_Iac3c;l88!}Z0mJcR!P>Y*Ij;$gz^xX%5TX2U{U+uOM?R@%ZzN7CnF3&KN`-0 z@NoED1>(y?@Eu~-YBRK;Q8$> zC9hp+$5IoRpjm*FWHjZ1$ek@99=G_}2T@@w{ZM`%0&@u~Hsxwjf`q{}Y(MK__NN?s zbX;9raAiz6gs4TU@l0ah18c;?g8F31Zn0V_Y&!Fa;+McE<0IFwUPde#{;UTbbUPNx zr(brM=O_1c$37Ud8!c=bcsNXUKIU2FgvBB6LjbFgKJ|q`!yHMBN$8x2C3q&vartE;EX-v820EYr$+YO@D#OGb8)D3#$M*8(+j!ts*zGR(lkxWT z*q2MH+p<8wG%i(g9 z2cWp@+WrgDLx94{rUxH`c1{}9EoS(MU!A?#Jafk%Jd#tviKgcXx{#GP-Ar6P&=8(G z@7&aH^Sr@V%ipy|G4xz>2V5Ky20L)}yLqoLsc(muL5a1qEfy?9n}zZS9y5>a-=|Nh zKXvevN!@*bIHRh_UIWu*$s)6Td^cuGTrA%XY6`LSusO*eB=QRo5!GP9ezNd*fA^O- zp18I8*GIY%_vzMmLma#wD!o>K!eqEXpb}q|MNZk<(?9;$p0O9rwO4sBiC^Fmjp&S{ z$aO*eO)u7bIHulU)b03BLxJ&BL4Bf;3xyLgDHtk}*a6b>ggOF_X9?a16r(?jI=?c; zg?GH;9E>-RBAvQdXs1V|Qy!biWbqqAv`9y)$tWksUlCpA^ukSf+&P@NL}><}>rtzq z^EV&&NpbRn^T#5aP5gDTaZMt2kIGQDK4hVh?fOd7LIAgv!nX0Ufha3K;uu$>-4*iwjcIU?_)7o?PgW&v~;o&wVwCdWkI`Y0jkXCGOtO)Pg+Nk8i>So#V| zM6j-2h|!8i#4YZdnF*Q2@icR6H3T3mN5v3i#9zCe@%bUCK>3sosDG}~y)(yDX6~bh z@iOt8JV)^+TR$+vv#AiVt83DL1UwZjwT^TGAmf-H;1h~o6@`vKkX(NYv{fytXi2wOmn+B5Uaf3sOwiD~B8af|8uwL5_u`%CJX zvG4fU*W26zx!kSU&@^J#ceOLNy`=HwZl<5oF?t$=H0I&4^ZLBwiPLH9UuTg;8Z1g2 zymu2uI>|Ov%1j2oEL~>$CrrRf-FJq_nyft(!N*4LY!g3q+vCh43e-h9PSz4nD@fxJ zCkt55pA zojAbhWtMa)TPWZ%m|$RPazgUcgMb>N))u*8X|@{vteg;>Co-roQkmJ;6vG@+cI^D|Df)+_A10hhRP!S#euw zCEcyR`P}L3gv(*JS<>9Zi9C3{4jnE-m>u@S^3n6{-vKr5 zCK*tw+0hm+enu9?->sy97lQ!{caH}@2Cdv5U)lftdw+}W!G7*>^n2eJ$g#N{Uh)3b#<1&ssP$8@nx>r=HcMpBe@L+oN`@-2MxcTFmVs# zws;=ee-4w`c2v$=uC7v$uEwdf{9CMIesj_-?k2v|hBwWY*o6?t$i1Qr#qLrEvl8kK z>UP@88O!FTw0<;t1k&+Y`T6Lc%oMw?El%83+urq1YLrXv92r@QSLtecLF-+;c~{3u(|T-ox?jgKkqO8eftEC zZ#5|>DE>M@r))am>V3$b#DjwJyx&P18w|BVZ!dSTb556o#thdo z>Px>;E+`=K3|hj{8>yMVjP9-nONRPe^(_TsQPYT>a=X^~FTcjzU%OvvsncQX%$gv?2S= zS>>&IESZygT7|_Sc{Uz2diD6&b?dRhm%id0S5Yw~_HTo74m02P$+v1Mo2^B@w7ZAY z9%L?yHa;OxbDE+ms@Eg_6?e7%rQ+6QfJf41tK@0v`_^)g(E;eBamK_<_S#eE!S}n+ z4+861BNN}xyq7O(=#~~9EZ>ySO=_<3UanGI`t4h{N*h>drSaNvZ0(-P{Au0ck|CO} z^=%Ni-98dfbJ0KWM*mwTd!qCvx?LjK8*hvbP{Hqs8WS8o4?CXWZ+3}to4kx}7Pe3Q z^oc`tnu@FCny)W=Sh=5+oAp@}dcLwDz-IJXaJ7}SBMq!nCA+za17oLfN zXTn24X3P)gcDzvO&p?=_3l!MKK8<*HOrP?Um^>eEH%QhxN{L1 zGojvbL;eVtWF}o$p~D>NW^L#;JYREc!^YiuW(ttY_cP`7H z1f4gR6c)Nviw5eIQN;blD)HL+qXmGVI@JH!s8W#rTN5+EE{oQiqUUQ3V$>-q3}JO z*Oo|a61MqTEL38K$9PKqq*OW^dvX47Kz58P`|-CUQc3QfzGdkbGnud5W_~(-l>CK~ zOAJfPMuxEHkdG%? z(?z{&dUEmJM@vmIc_1;W>R}J1&(@EUx}lb`k#7urdAgj%+uNr%pJe0|a@nhHHc@yT z1-LnUh(5Y(=SRwau$6vQP%fK(v+>X5`o2^Qhe^uO`+ zy_{{ofcG`(US+G<62P~Z!}7d`G=2?+?utJ@%L;o@>7EkDcf|4sjTJ9&Zw6|1w{0LH zy9k$UYl7Fne06K@6gk?J+5)CCDfxE2Clj4&VX+d~n~D3wc7mLB60&A|uL_hM8Rr@K z1rD{>^ZnEJ`d;cV-5w_>w)c87j{Bm1{F`B#inxiMMd3T1-`{JW;sk*WG9&qe1zcnk zw;K>_G}L1EAvXwFC4O?|@pA)K2<<)?uy5hPW$l)!y}`X)42sf9_f2ajYyR3_E-?9~ z5TFkVPKFJo5IcvOi1dBp`dOQesVYV7zbpV5Y^dnqr28I`eHKIO>`94rstjRVRDl4Z z2P1bOJl^fYFn%;j^lA3ly|BW5}(B zEeh|gctS^VD_7UI9^yKsx)><31RPDRoTohTS>)n5Dn)V^@GCWRPsEG~Q3hpj$15rx z|ER-Qo;yG3-lAtmYC?4=Bb|!_VjpCtkW39H9g~lyx#`>JNWk8htUjPhHT|_Vy(eH*L+>&d3dE@8>D-)#D6Ib+<4d6tCQ6^(!fyYBVcoWtG-+yPBvv(ll-wAS5k@2BNo9`$5*q|>N}f8BgAUHHzm z;RW_}w1|gFI1xOQJ{O0#Mm#LzjOPN09xfG~8zoAHM$J8A@BmC13>APp!nI1u2jT$K zKPCgW(Qn0EE2g!U9kfZ%M)%2Yqf9&Mwwgo6RqSa1LqSZWvEEPM{}*?Q(u0a}%EpF% z(B>xEy;jvtNB6BQOwT4PfM3qBL|7-DcxXiu;4*MR4;7Ht$rH6T35#w zaP3iFdBlyn4$(Yff zgW2XELr+1mD8=cw+(#iTKIrNTP#Fo4UHmN5K;M~2NOni!Jq_80j-53`{CM;J;j5|5 z4f<>B#GC+(yTymQ`7&roxPJ98bug9ufLjE?S+P-}={S*NnNP0ag%&Vy(=pOTpA+K& z!~@EEP!lSZeR5;#!auFRzql4XJP(&+;R8fCz=aCbL{{X4*aBhs#q=dat7ES-bzWZ# z3MAWP_vTBbT-W1!Nvz+^qKUOV^UBWN4+ z^m>DjN|sV4ocOx+xI`(yH7j78_?(xJi(c}p_?Y9lUPF>2F2}cO!p*gY+h_ciJpvoj zEhZu9mrM2!Tfl}uE!WW1w_4zu0GdfR^4rsWDvREq6ehq*Nt_D?2|OHV=k$C3V>>)h zej+1!d5s{}v5!lh!rvKVSlmC$`XzP&kgOVpN!p)vvG?LzqdmhGtv^mm8z1*p zXO!$91!bmx$7+}-?)mob)Td!qxa@9**8MhYpaF)aqAZzzIUh*1rKSYRqJT;Up&Vn8 z$w_(x@CAV?e?pnE-WI@U^(R{hOVY<&%1(yV+oNjW713Qlz5zo#csuPQzH zM!)s`$o^flPlAS}DoFEddF<3xK>XkNL^_iC&}c4q1y6M@JQ!OfxuZR@*SzOTvd`(q zzU)`QfnYDYBRb-|t0wG*O5btV-LcX*!*qSe=w&A=M=YL_bRW_~&*OgRkaab~M1Hmk zdaL`cedZLOKciQgzS{oEi6hma704`Z&0c`+$4rF^nymaIQ-PsH2Z(?bh2+(*~?L!IwYpfk} zP#r09PK)i3_T9aek#P5}jS-39y@8b>NB^kG<>EzhtRj(rQEW7`BVky%zGC@aTB&Yn z*dr*P^E>g98~m??u_#-mJ(JWSnsEI(TiDE`BdMjc7djcDL^+rUfk>G#d(THP`JBgO zUI?C@ne$VCcyNYp_mZ5eejw36w3 z_CoqxjDOdv+S|9>wm=eZ6XgZMMPwI?7L2zMCY%fJ=749Omj_)@>eAA)Ub- zEQep+dfvdH4ljVVLtBJu{w}5*VE!ata>X8f^{q$8XRQh@H%j>+VSC9kH@ zBHQ29ch?LWte$+_{`=YnBJuu-0Np$jW*2UfDpzE_Thv*tq6v9%;w!L#Kje{2U;X#O zt;Y_><{Q_t*MZ0>%fFW=Z6KWC2NfXf?|0)fnsT7zro-bC^n3M-CP634R0Jh6k{gXZ zwKnLcWurK-z9gDGjt9ZY7$04}20nm&gs6_!(UJ8=yny=Zp8eWFyS2H0)`4J-DwyOZ z$4{ZWdm}Db3aYcVchmCTDnphQ096l`9U#czaXT+D5OVSKbwxH`;`TF}G_cprhIXnr zgaZ*y&5EKeBOx&aB)#2&+w(7N)zxu-XTOXvy$Ntm-QrXAv+z&2IQG1j-D46oP!pgIZK>+0dGA?lpC8`h z`7;otDP5l<^@+7!0V1)Y!$>>Nh&mzCV95!Kr9idf9QTgk+5uevYf^9q>d#>}8+o&j z#OD;9TcAPTZ(6KjaJm3`?UzxdD5#Rk;%nh5GEr`M?#CQt&et%QamEK0cm6U=rLzI$5Sy}Bp^&>G$c?ifStErdf!;h=3q{TnT=PDqDAq8aTq3w5`rzGiY7HW0{PN|aJ z=!*p{w3C_=D>&;N%;XN`m6nsWBlWS?XJ5@F2R}0|>OhVIr0}kka?&&~`!7KNZr0ZP zHt&or@Se_G%!UPmrt7>8XWe|~)Iya^%paQmcsD@a-~pkP-nRJ=noVK*#yH<#$U`IU z8R+iwZhsr)yG9fgE)-1}0#Y)6<&|ifCn45MZWzwUhg2CAsFPRAuxh6lweIOPH7>*q zI*?0lO#%eMg^t|-=XNGv#16b0w-q|dsCs}F1u8uE$%U#YAXO{NrB@}J=sKPk$R!>i zc$_c%In{?)*&xprD7=@WVnPozk&{W>_o#ul6u(qO~-4D934+q z3?Cs^B5j||?V9nnfBs9u(y$S|XZb1o?d}cOc`DFcT`E7{R_vgMh8?wIcJ)P7zpNKX zgx+My6FO=Wv=dPax^y@Qa^kr(=3zGZ%`c8`#giC|yFhXuIPMM2B|&&KE^6Pn6rC^_SfXZ5PPFH;i^GTo%SZ_&^p6;sfn0vampPt3`J zwdr-kccFav)_Jn&1^isODks!u`~)^DIFw&)eiGjFn6LrY7{#m>z?g@HQl4+oDo32} zh!U(Kvgs8Oe3dw{EQwN{iAX${ z(b>G}8@7d)xveJyoq3yL0Ap*|aY%cNaJJX;_yAjrdUrm6q3MG??C z9l^}Blcm?ii;9xzM#3%tV<3ulb-$ugwPPBl2V2iWFkGYJ^8(7Dj_At`g{p_FT;yT( z683)@_z2`b<=Gm0X8{_uJlT}q0uM#&7q~$q0Arq=3=$uYx>Ib(I z6~zki#xE$O_RA1#o_k{G-K%EaD1IRzYrJW~joYiH)ljLO}ZC>_OMfiyjCw(L|mCf&j%b#|sB+*i z#()-_v!jN!22Pv*NZYX_r8qv039LL@e4(71oW(n&`1C7piOF98O9LaJ+vuFABLNzi zwo4qCaaf+hZk3m%Ri;(-is>S6j8Q`in5+^yuAuWPYFr0}S=PStt1njOThty@r*#`e zkBP29>W3+jZbGmqP|Q|ehm&9@sLTicJ5TLSY?%*m1cmPtE&He6cg~v4-6L zBckqYP@NY%l)|DHWiX@+eEt^=mBB*@FN4b(f2d1fs{6hpJUZRw=J<<_m;mv7`25PR zS3rS>E(Wf1+qaL@$+Ah5Adi@V>X<#2){zCpiZ1-GMdRtB>6%iVPP>S>Km?76$|Ys$ z)xwm>ZvNH`^Ma8$;4{#@IiM6poGU`EfNVMA3S-F-Ud@gID2O~VJm`K>vf!jg#<{JR z=_mf$D|zN!O+)*mz&xO=PdSdjj|+N~-q?Ea>bzeEF z-|kD3{z)R#TsBx)jkif~G?6 z><9l!2tLH!NlHBIjk=SFEX6IfEL^(erX4SHO;sYKlM3r_cE3c-SqJMS!F*87?s_?*>ybkh-x+RVVlN zr`rsZE{5Ba8Q%lPDVBy?LA`0nogJ@}hFCe%S$!zMHd1T*Er#YKpzB-kkv2{4$X&m z#6;w$rycyI7a>e`aSpw;=;&&%6EHo{20i&YgjQN8C=rdWTzpcA9?SSITpxfxz@qmQEkc`F(ej5Dq!6H2nk9+nwi6gIy90-u3>Jp`3u520JO^TQ0Q%9HZ_8*( zf+D&KeCb?r5eyXT6RgQ$tJ5E>*{v!vUbw4?u~#_fC(*qzsCq|&svriBx9~C&_K&5+ zPyS)NieZCyQ@_gJQFv{nuqFhlx;aem`7?kDZJ=E;MaqmCaL9K$aSEVKXRI*pb{pwz zJ@Gu+CTAM7(SD>Nhok6!+!?+7+Tg`xg6R_f7-3v=3+D7_`AS6m?KYVOlugcfQLOkO zBcqqEBH1*FofAOXAxSAfbK@~oJ8pYTCVY%|EPg*3U)~c zM$kXDra{QBd33nNADtb+(hBoV_A0Ik4W)xxx4+ zXErN{R;RV_cVM8VnpO0emB}QBO7^Gvk3Q)pEK&3ixfx$hH>;Fq|4iM(>a3_EADB{C zG2J$Y{=A>uET*irDnIR?F#MNn&_BzD2qqHNA(<-~JdFJF#4oXMNqq+n83v;)}*`*)AE!^SfYcc?xyIsJDP z+$|I0o8~{CYwe8Q`F=poB$B^burn#u!|FLnYz;QyhXjU>I>d_6W!g|L|G}n}&p}H# zo-nua-VYC->RX?fi)n3OjLFju>+F270cL*@DqFk?b&xa)V2Ho}O=#6qdMtmK zr7d>Doo~_bSg=L)t>>%37_=5GhT2O^6*5NbbF$u76R?f%?=#W-LaGk1(Ljqt(xkX~ z$4UP=09pIaD6z`!Vk}e^me#pz0tZX<)EcYI8e0viOo#SEE8DgZ_8K>$Y@fkTAnNNs zJFpRlkt0prPw$|M5vk@w2Eg-K>n{U|Xzb4jis&N4l%-5@DfzEf*`>6z4%FYt72B;1fAObuLp1jgOizf1K**N^<@qejr?&ZkpXNN6?bNQv8-|$PJ-@K+i^U{Cs{By>Ly{_* ze4s=jAPGOYbfj$|A=7_;!mS}&lf?1g{;Y@?${f}(f_zSYypRK3a^n)mA*{CFjs7Wg zTqYV)y0x$rc|xplmOQDF-mG+XLM3+#PD_2Mc*5!a? z90}=^GnAFD(7hzk>v*m%Z6fdw#>rY0S_?1~4*=cxoH7Fh3LzJ3PQt(O?rYAazvaapd({D_Mb zE2Ni7COQmEFn{x^SbDM4JH5 zD?7YnFD)Ay_rKwjpadAIUUaShV=#9Hka9m1kd}XLE4(-M>=vu`%h89wED+S8QHOL^ zeBW_A!JL1X+B<=_#&rWMWfFvz4o$El{&71k8~5$4X+EOmhCE_{#{`h7=X(lk7lMnN zCE-4wCeuM$lZ~k@0c-_^tFU6%{*!7gO2Nb76WUq{EqK(r}9%)c@|Dt0s085_-9`a0}vyx$bIV~jv0zCs6d^A3oN>TFRN8PHn7%^6{ z6maV91ZGP#o12CN;`RsdZiO83fjO!nwb&Z}R}83+Fdw@ES=sQCTiYGt#q=HBzQvUI zl;D9VaPq=ABr@T9>2q&@^|E(Sjf6YfX}BY8D=vBtL}V8_1`>e%VWZ_f0?s@df#k6$ z5+YtsRr&(lf(n*~3U0PzVaz#sMWK>^n+RQJ|MTS2Xe`p@%AgXX&_L@Z?My{3y%IAD z4#!mxvaQGb{^amETxrqbArW95H496_p$bR_LWxGr*>B}HcyYca-h`#)1UH*2GkVcD z`HE*dA*^k(E@63B=+?(#K4(58Znl@cIw%^GvNQy0E{~{IKl0d2!}E@&tsz!YH-`Wi*TKyrV$_Ta`ojm}YY%Ut+0mUY@e%O=_VZT`nck0*$RqB#&S0P`AqH zQ4bV&1Ua60)}LmAIqe=IBa_S6&IlXsQiq!`d0_RcN0fuJwz7^4g937{tI3 zDMSBX08*J^N(~BmE|99iGOflv<&H!nAC~!uTfmvRZ-^%+1V2E##?|LiJ}Uk@mrwYa zUO2}*z$-~d6V|3*oKA$!F`Nqq4>XabOrU7afEO%>q9?p|kbz&uY?5(8PeRf-{+Z<| z)M)0x1<_8nsT%$)(_w8#09yy7MODQTfXUMW@a$S7DpZAPK7NoTSSQ*Q`cRUtTe zQWAA81138h_q6_l0ANe96A6c=ogZ-9@WawVf=lL`6l|V_vpM7wCG7LCMk9bjIjA6G zba0M1aEH4$(q5V#8B>WXe?>zm*IR&2_{q6poR?@H3Bt3%gsmbGtTIDC7-WWgK!N8u zDiaR?F=wXaZvLhm)C>YrKNTKa0Tk3+4jGabFu3B8KwUF0h2J?;_w8j7321TC<2J@m zE?YEy5@dZ%;7oy5)Db0>hC)3ULCh!`?zWMMddg=BdO$oW!6m-xj9EKTHAopPDO&ODrqm{i0&gV=r}ZI&*267#*r84H4+N7I6$Z0^Er zpdmQIpH!k4n-eQqJF(UkK~CRsA3CQiPQTl&r}{L0Uu6j|dcQY|*6<~AXY>(gu;ybw ztTR2sezy!I2;iXBGE0N*RhvZ;pv@y(ygmVR$U?%s6*d{uBQ#}HdiP|{cCi7THsQWu zD(SB3>S0Z7!gGHqn3eC^kDO3-2eD!^0b%720I2zXl%+4Ldn|b+1K{DHPw7;V_r{y; z4#x<_X7h+9$3@Rz5(SWmX#UGc`?qW;UaI026#M7Pk-^!vpzn><@Zs;Uc5l* z??s__Y6gRJX5qoinZu5HfOABUWAmnvi%=?po|*>L(S>1OhxYF})?CvDeE=A$6$)DT zFcKM17QjW>rALKsE0Olo`|jNVH!uZzqlK#|DUCG;d*t1tb>yx#q}BDnf>Rm6rdwXp zZQA>eL7__#VF!^>bosMzU^sa(%`1eqi!g?wI3$Rdin@!HK{D|HK7fAgkb?T#KMm{6 zwWSN^ScG9w-ok^c*5P0}7ep>8u{sl2ucA9E@lcR=>{MR0^-Hx-7y{cdA50uad*-~` zjzCM@&RGlksZ(~yrKbs|=$Ye6VtO{vKcOkn_Y7bzE-lhU+R~HrOtu7&mmlaeTT53X``L8D#+}QVEyydB6)=qIIBl1y8u*Y9@Dk~o z|NeqwF*C{Bs=YO(Z{;eDk4~gqFuv_xY10m9AV&$^3&A~AVUkr zl%Cb@XRb5)f@d%x4;6oaXe87BDG%lvBJ7{BL0~7@V!TrR36kMBPf%1`p1^t}J#o?#ofLdB zt%dC*0J}DHMW!ktenm9#vp+drfszT5r%$X0q9ve6qH75X*>%NQ;9Xu)O`Y*Z;GrWU zOy44f{E8U;UOGAa-zS)Om2ln&ges)52>$dNExbAh@m z*L3D1_zZOBBES_3VKamQMd9mdo1;6yY63X9>S-XU+Yd&@!C3V8o8;B zOUX5QnsLG(+X)T!&$c+GNZl;wL*J4H0#7xaq8AOO6eQc=ew}SiAQYQ10-S#xG)U}P z*Vn?}Y{Y>Oj<_}!^U#$KHU)LHXkIV_ww)dp^hR;KMeM$}BinR7FtU{R2d&V8>7;jr z;88f&GEk%rrc;ZBG{h2(TWP_}2aK*>**--1E>Fm#0{fgu{AkHO>*{nxf%v5K$TTJ; z0Wj$4&q?=w@DUpfk3EH$la!eFfN5~3F-}53=C|VkMGFJhzz};cVV&HEN3k^nTCd zQ@caYg9rQDf`epH9^iiq{dTb+0}Dso8bxytP?vg(-p4b7qgWkNk1bVz(TQOhPbYz^ z0f1LH@HFmEVYvZKG!r|~rw`IB0R&7gPT+cX^sysRVZs}qaIh~nBDJ-F^J@rPmvVc9 zw=`x*uzD_Tp8MIBVQfqwK^`U!yS5i6K}r7*nz{l(;E6-9mLqnWhwG~F_~&^-ShbB| zST&-r=Nec*DBdAKxjni%Pg1Ul%&-7V<3snv7_7c{0N6tG43`Gc8tpNtf452Zozoo(S zcqDY{)C4RK;SpP4>|4wA?ZaCQ#!n+3=KBWS%S(7bvVZS%CDGJ|J$6TGpvOEX3-&)G zXt=5^c)|s`j<9i~67nJpoWL@!1QQ_>9FZt@WkDSio+2<83V~^PVgc_4xqHO;MAOl> z{c-8zmEXF$Tm#-A#$FmVnq1C~2>#CgEKeB&73oJ0V%};JFp!u9BLU|NFvT{`*BN~U zEV%R%Ic7D{=p#Q!Wt-R@{bC&S4J~CMCJ1Rv>cEEpzcclHfd3f<68Vxj`8#EEWVm#B zxHzBJ!j7G{N06Z;cyceUBb^Sqz$UEYnLSjG8#?D{wO%j^0x+ryX}-uIFx7=JA@EGb zXk{Z4AI9xu!({s+r#4a=ARovW# z%agEdZE`jms^_+G7VB1Z?%%nm}W2^ciat9dIns(I{57yibxu8Oo1-6m~5V!2XG0 zFGu{G5by$Oga>eqwXrXLmxO`nX$SP}l1Vy}Y0HM)$EQnx(0Vd&RT{%El=hRm;I67X zEv1tW%y5CnX=fSV_cBpv?~!4s110(tL1H5|AAVbXG=OeOV6%@q?ziZbz=sY*&)o}o zQLh|;TUlo^B*+$mbDNiXLV{_CSx8h|_*BVt;LPsh=cRFVf3;=CaQ@}tE$oe0=B z6mbJp3sQ~{kQ_Lk6E<|@1&AdYGi*r5EcF&lq-&=-H%7FASQt2lbIQjYML9A7+=G;N zSg|q?C^%R^P=yBbVSLdsc~T=#>IsNgdI@Q7ymm%6fOjtd08BY=uc~YtJSjX}4XId%bWVR-F`Nvy4Q{dwM{$=;JlLJPb0)FQeQQ*!Nr zfx?U*jKz)PlvIJCR*^s}DrMRLO4_L6wE1>oQ>$8wfCfvHBR9os)~69RvM@F?D@^GobA}Uh0$HSywAqPe8*V$5 zYRy|kfh?^;nVJ;S6@z^IX{$gqagF6-W zOJ@B(J_^F=U})|qZFVcmL-_(v(^nvH(+)h(L`vD@gsGiKKE}+UM=X{C2&_an&HuzR z&@7|6Wib|cW3&{wNuEB19d&tAjT7Kv8JHj>a|;Ck{vg5IGbpDkS1xQ+Q!KO53 zLODgHB$a1luzQ?TpC)f8q*oW{C$hNh*_?N}?Ae%Ww1ciTFl(^a9?Ef|oHdzsN~-hl zz6C%8o9RHZaXrgC=2hvNwbY<1T>IlikB;llpnA-_QA>l9J>~$!BenuKcH!iJ&4`nu zOr{K<{x6+&Mdfr`0{HM`^q`jZyW)EF8{L1gTiTd zwrid`5CxCwg6;PMhRfSq2(q>A7+kslH?P}d0IBi4EoO3z(m5 z$O~ZsxIsGIkwWH&rK{*4azjU-gN|VlJ;F*4)MxY7rMYD997lGt;ElYHtIYAhSSyF# zrYQaJAp1n(b8n+n*r!=!ELvzvW9AR3L6l{sF17Hm)kij2q#wlRf5gxPn^>Y$PGZU% zViXj~?vdSes9j2V63NLTSmu-0yu}4ERo1XY!H^Itd!D*Cy@608@}^JOlyc>?VIWx~ z&u}DxwEZUSk7cyGk$KWKz_!)(RD4r=3?+>s+aG-6)W5tS=SUN08}yiz&3KApQO=WQ z&+{HSBHM-Tk#w0it-$Loh39L@O#$qjxISrG0Yx^PTWPuF2DpvFv1!_Ph15}UXpr9^ z1~+>mz3gc()RjwlI|a%a@1?D@N~_RjG&l>Gj7UGBa?{xHdV8{;^bE;-zBDJC;Xt?jtck+CpUgAt)iKk z2P3ONT~awM{bt0qkQ7lZOY+$9fpyKT<0)p(4nx-@yAoFVQXGQH8n;NxY{wg6;QJLlAFtvDyK9CM-1(WU zMX1x-30jejB>Jk+*;UqD#2|2P5hpGP0kg_tao1z9jU~r}54(yH_V7xEtXg+iq43(b znvs0CwHLs@q*8re`}7Ot3e9U#f3Nv^zy2_rM?JSp8zxxS`-ZJqbB`3+d^5I&g|)Zr zMmILt@uI&PTTYP13FFJbKi5{Dl`(0N`Z5qk^AmiRwmt)Ie*0Flil7Pu ziM`aVrS#0Zu~81DaV57Ae@OfpaF3=ZDYpYgy3)!^aqzR#H(Y5v+s zV=3nMMDS?vUyn@9$fUjFDC`oE5ja9z#D5vh`JTXvnHqBK!SX`&!Ht45Y*ha zxiQN1s+}7AG5rGQhh@u`N7oaa`%!q`_pQ9XE0)tpM%`)XHnTG|CUg$|YD(W;yF+xr z?DC-EqhwOKqa)-t&6= zo|47XcBNi-xMZ|QNrrQ|=2t&6EOi819E-$<;!gzZPIZb_l(f-$4s59*Y>tA+=H9`6 zrkcV-N2mk@uX)-yT|onx5%oU#iN4XUtSdMQbVR0V6M5$ngxaZC1Wq6P!F)PYbCz>C zeb(Wv5&w?@*NZ7oa}Y(O!YgkLu`<_GgRCG|C#l&q0H7yb`qTSc3QBrJLJ^Mi)q|Im zusXJslx_)imgLi_P7om@!iX%u zpMZF#b>0OLOkIlc`DcCLZ0P#lQDCL4WjAKci~6_tD<8#AC@D$SzUinT*&kF);((OLNmY=Ly)qcb z8R06fH~`18VY9ru*Q;#P7lZV}#rFFACQ1&d4)c55uc zHvWmCE_+{)*H~(I(4;8sZ3o5s-%fQySK=v(j6pb@v|g7HWkFto9Rz_Qr1;3;X~g3; zmTilyLJsgs_45Vh42m5ol^)&+N-g7TsAV9?tG_HO>d@DXb4;$G@1yol{9fgl4E*X3 zyjuoD*sfW`+_SHO`!=7h$G=sqkmBa#y_KMi1SMD0kF67(8T#`pr#}n_5Y@c0Sa$b; z=lMs~)zizeGI#rz2vEO}FufS9@dXq6+Noa_ z2&N)a6ePqS(-FwaqlPpm-`Kmz_)|7*cEqSjyx>}`-h*5@NHM-X=hf3%V_7D>v0BVn zV>v^MDHF=(-9Lq`!?dM%su;%g_whDvT{npa{rxB_PVquwM=Phv}TQ zhF%16tHu82lygs{o(=qVMiUmdq~J1RK-SEsmq00tvgl7QfEgdee4C=Q+Z8xN$wyW~%EMEJWDm;; zm5KyvA1&o#_Ik`O?!DbT1v68e4x#$upmRL$x-HUj9~Yfb>{ zEu*AkuHfNu^P1DCeDO232E}}6ZdT@fe(+HIi@D%P%RkeSa?OXhuZ#zIpACOz8g`SZ z^|f&sVwf0@e_Vy8%Zazc@SM6sy2ly}Tc-eNV zLAdj~;l+zxc#R-NBw$z5hVACFcDFFsV`mr@RYl7Ft-%9S7~b3JPo~f0_1$K@s=C=A zi0BglY3-%D9alkh=IWzpAZRl(P{$DYQR!9nS<}c$96w6sM)_s&H zr}cyv5mS~;o=lO*J)(bELcbj$&d_~tbwnIWi42j}8bBg{P5`!+J`u$1)4mk7$ucB5NgI~H|GZZE9GkBFs()q4itL|Yt>@>?f{R{o1T(D69HIIAWe z?WhrKnmy??@{*hpC<^q~Ddx_k1`Y1cyyo7zgH zZ6r}C=C`1|=-|IP0Z4M;q0gxFTNV5fbpi%}*+0_am9D*E%wDMf{2H4a{ydpjT(<69 zv}>6g=^RAsMe)}desbHSmj!IQ&M?f^!F!Z7i-gw}Mu%tx(Kd!p#9 z$@D;N0u4mO9C1;Om8F9v?18Sop*Ovew5*8smDi8Di9qT7Cdp8`h;%YFKmIsoFKFRB+uUbYGNIZZ2@@98NM%U~XYBBDwOt6Sc42HoX zPYZNbnmBqi{nLo}u${QTNw^c<*KS?A7e;gqT*aKwrPdn;r6MmO7j|X$x~v)DB}m!b ziAvp?H}(0CT&Mkc_Ne`&yMk-qZokrlpju)?319R~Sa~jzz&S2rBYmf)F;fFubih%m zlmhp44bddw9?j&ldnO-l&p>wSIsA_oT}CF}n(L)c?e6vlO75Jui94G^i<{;^=$rE{!x^hE}*kj=4C>wnewxK!B~Vyf<5=qzT3XVH z%G@itlihf2`Vx8Nuy`SmG^@7?@uLu+%mk1uavyyd&tmbZ=?x12Tj8F!Mu2QSlg-5k zVqYJTkI_sg-zxfftof}!$ep8GzeS`8OC$X^f!Pti{HZ^|Hs8FSEsyHMY|9XFr!<8| zUEMil(KyCH=Y$tsY(IQ#!HAR6$j3_rM2jzs+{`8L0;ZkWU1oGBMcy7Ke66sH(~fh7 z(W6_fGX_6DM>D%(kAwdNun;5Xqnbs8tdoUmxk;&P}4C@y)*@u>6- zZr>9KaMX(tURj}-5xB?<9JbG}Nhj^lpF@m+!h_rGt&BwFq)g0sudp7yMbl z=?bU~Jliz&5%ea_FNzGyH!aHxSG^F+e9_`hc;lc>{LDe&%YtpR(&*s*6v~^NZv!GS{fu_?8r5a5 zwG*S;vx!BO+BKYi#Z&rG?4K!}69B z&M^qJ@-*6_C@+U4ForXbcbhvfX>If|FJuA*y=P`m5>-0&6KF~o^HlmhKinA-ACJ0Q z_)eg7Z$76h&?3QG9`>)JQH!E!ccmTDIMJ*dtc5dx$q!0R+J_^Y7=G7H-&*g#QH1Dp zh9g$mO%!ZkZu@*bWZXniB4gXgoC)6L8wEP~5>w7F^GIWklE*lzZr9Keyz6%z?1^^( z4I)}XOru3RFsy%U5x5jDp6tu_O80%It<7}yu&m7B49OGo_%hrQ_NB;t`u9PpYkj}t zl4G1;xSKvBCY@%=>iCp>avPiJF>x8g6Zz5k)WN~<#Ex6&u`gAgJ6Nv=ftqN1ge zR0H!Hu|?E;E3+AwDaTW-3d#_x7td-r!)1C5-#HF+H{XA2+J4K%ndAxc<2YAwJC*l4 z_M&0}9^&DN#;#)J(@u6@U}gV`VEyqDS|1Ne{6GoO9vp{OjE=`IR>@Hc3DX;*e0=$g zzyrane(ChzQsuO*TELqorcF+BmVoE1p|E-_fofi+hyq&qy@#a2wtqB*EVpnEP%qMw zhg^&OG&~`HyWbJ@8B54cufOc8q;jF|$LQfaA?jjJY=(HC=|P71dK<1r(({Lf*-}#~ z%2>8D3B(5Nz2U6zNSu^7I7U1qfJj<-9O z?n27v#msBv&p7!Q<{u|}#kT1&6QyGpxs-4cjTGE%fg4uiU!KCkSZ!UF)tA(<@OY-w z{Tf;Bwrny4jxG32S1|+W+?E)FpZy`7gW|lOTaDM8aLFpZ0V79{M!hee#)st63g4zJ?A=sQHWUvXUn!cXooBP zjoaKHg=FSMpwBb=SbstKSPB$PYMu1!vhY=4mJ3R0Rf8b}6R)epAC!Kw3NnomLhG1C zVxwDKNSbJ=9VzX9b82$mYD=DOwjcX-5P04`OeiZiBlMp~UVixqt})OXHz1Tqxde!B zehQVYlW3wI>ETJ_`!@8k_rSu?G*q@iW}P$AJfCFUMVc8Y6s}Jwr#n$A><#^}E%X6M zlo5`f8GIDzW)BaD){~?HT0w+(1Lr@9lR~WRO(A*5zcWVf(@qFU`KLqZ{HzG!@X=6oB21#FAT*+x0PwGB>D% zIjDr?W3bF1)0d#Go{m3jGH$$Id$NCJm;E{tQ8VP#DOU5eE9em1!8pZm@$nqfh9ka$ zN$x~hxiS26f0zBX<*Uo*)f;2FrA8jz7jJ}1ZDk@-?_8pKy_u}1+(nO~O8fETjPw=K z%a#@N_+L(GzY^h%iHF`n8LaOZsNU8XiX@C27N}sebyUBWDGiuZ%l|EjPG{f$+#-9$ z=1!;d4?{|sWj*%}?Rv|eM89E$U2~@Wowjro;YFGA(Zf5FHNL4sDzld1WX(lpMspX* ze#1a04X@nL`>U@$57z5Cx0!Yw)itcqCG9ms;Z4%FQPI>ONY8)?i;@oc&SbH5D9nO& zcH^Gg_L^SwGOU_dOIYG9bXg^|X|S&}OW7%CYdBYjs*P}l{KLsw@4lR;9vx+`{$^E;%7~>ei@FF;Q`{;i`-Y+BMbrCv66_Ch;b7&kF8nF_(~J&mSa!}Ay0?X{#elAj5wV%aJ-ZFBiX>-(x1 z>-c5Sh|I=*Vrw6~8d@*vh{)wr%|>w?2`Wf&y5qr6XsAjQ;dNOfHY$jFpJV6dBKOwL zHYPTsh~{X zhBFI_y4R`ig$5dW2aHy(-VwyADfhQ#aK&Z6AQZNXS2UJM=Vp8OsEsTqeSBwWD`CBFR0J3p9sNIv(IQgS<NFx1M$o7Tt&zYrY ztb5V0&ME|O>jKB?x9Muq58h*#Vk-O198$Vp&A$pOe>CtHAxtaoKt5xS-6l!UCNoDn zVk^GsQ+(en&i9yxA%Lv7pj;|s#s$0xq$*0hyD0v|arSCBUM}UXF+CG1BChnMXEwz88As2`B^+DDml3$#pBdH0b+cHNQ%ae_Lnx zarqj$t6`iDPUl;BK6 zRGD?oXK#o%%r{bkn&JZsZh;!Jh2NT`O4yw=wN)Z`xcwuX#pi9H$OILzs%#mZEHF6a zRzLZ}o~f$O@$oE7h1>;gmo`}6zs=WcluuRA0`*^J9TiGcxNB798q4P+h=qM3KbCCx@Vc4W0 zq8~I~x}j>?_r4}ArXz3c2zGEd5^~}#GBgj3A_x@N<-dF)Wcc+dePB-^|HJ5vuMAm_ zsW>#eu`MPTe;P|~i##Ij!=$CuV@DaIyutmnLvgd-F#S%f5|4K;aJX%QH?3^b=NqZL zO+^zP>c2+%UCFN&5S^4+A5zlA#POj0U~`zpPOWnp`$Qz*v=I3O`;XPofagrb zQ~x;A4?kXwK{6VMzsQD+`Jm#wZQyP{f>9j)s6TZU`uuqv6CUX6Ye4~kZ5s4vdlVW4+)*Z=6{mppwS%VcnZ51=< zl2a#J*6#al&x)3kJr62RyfDl$cH$oX{?a68g3~`{E}uQpXK`*o zphIv?>y5GQ=&ObOVSe2(ZL*tRAMijRRO8i1UMw z8lCqOm0n?XTBA)y(D5;_H=*CLacLt}Mn=n_(88G@!ZN%WpCM?3+08phx5J^5CE z-V?-grQuKMPb>DoqpmggC!-#Y=lI))z#n?8hzpbs^Is{#qf$BL(lTjuOQ?FXv&>D9 z|D2S!DNqp7Wb3ZI@B9oo&+TjN_dETlL(MOypB!+=jKk@sEkZm~?PsZ{MA=1mvGSwO zJ}l_MkSh+Gl3Z7z;AQQ~^WhSlrX)8ZN~}7Y*q3wT-XmiwtyVhuDiy7Vc1oD6p4@P5 zEd?KU{uI18+*UR+>@I6`)_`0(DxdqV0+CpMhEw&*_v6TLSwj7h_3dKg56!#{+G!WO z&oF8itMaceu(6lfLW`}$Bhr)@P9R{_s?hRADOKJ~_j^Ikk=X?{pR4f0$gueGt*m-; zTw&6Z=SmG8zo1XZA+nJrf^N@~p~Ra>?e8dOKqX_#LLj3)?$vd_GYtA||#)cGl73i!7044v0y!*w>xv zwZdo}$C<=8B_!<*N%hU_c>HgaB%_}&3XrTjTQ(4l%Bi8>{80}2)*O)(Qf$jkQ0G`c_=yk`IyjR_nN*5+P;&KHk_%J*t4$AsXMlafy{tfa#NXpv>}k;{DTa zRC^2!0-tv1t{vtR7kHSwdHiR)M+uGuZN9m4$?_hIR$2=?4mYGBOxZ1RU&M=z9+hV% z1ymlgOujUUz0AKlkhF%(nrXR73sa0e-i~4h{kUN|X>S@{)dHpiGrS}OT9B8O2I*0hm{tp8c!DygnN_r zpcN|VHb2hkwhojS&z#iB@AGBbUl2|lG*f;~r5GCW6YE@iod~3h&S7#J=q>BS<*_YT zl^U&v@E7$<#p*{kbG`J|fnU|DrN{KtPJ&hY}RI@_I$qN&$r!yn^=x1_+^yJ&RP%K^j^=&f@ zIu(0Y_P1vA)-T?itgkXxJJ(tJ2tL)WWi!?&qogX1YD%holm;MT5E@VmKUyWOkoYZ4 zFhN~%`ZETH;el=D^W;I4>3Lz=)QBe6e;)-;Z_0P21<8uKywS1xdfV5dm>fKQE%|3f zmm2w-!<1{SC)|quh@Gl{!!^v$3FD7jgOh!nFEaz;Up{s+0|*!g$QUjU@qy~M47Gbb zquSoiE4`B`4YjP=9X8UfyQtt%Q7_Hcwwn*ZliyLp2!5@_%8@6CMu>K`=zRY*XzTyO zHGb~5ZSEh63OkX%t=qsyNpPHsa;rHfK47SX7#@ap5iYtD->DB|j5l->?7;bxGe5I! zh0?QR+2cLpSivMHVTFOpsh*x5uwmJ2cWZwB#T^7&iSs&Fo8Mz;JI&2ZG>+l}kq*F{ z@{~Q$17>TUrK5dEh-tV+d7nbF@__}9R9%aqI74X1;>~0zp{g=}qg%$pVIBM`4kw<% zQ@rU3L9f391)3o*XiY@<=zhG4;YahW&CoBt>>@sa`B*X-qx!RQlpy6g!%#jqg*eYH zf%UP7{!u&=A}y#*kjCRelk5!5x6|zcLiu6SIZhXxQM>CpVWlV<{9;15d7qFcptXsx z<68|2f~e2m7dw!f&WyP=@${4`X`>lGZ)FS1^c=vg8Y7b?Z8)|P&tG)f%^U7iyA(0g zF1y3v(Dx5T399|GA=m>1uxcH)GBuiJb!+S$(1y3RuYG`4m?_*)k@D&mEI^uKX8jOoZ+phh}?|E#{aziKMSP0x~Wx!wF2)osQXnM6NcYT@3q3!`i-jdNW3RF{$)C~QR}3fg@7}wcHS@NJ@1-GqrI(zSij1h&@V7lZ z4JH@l(l9Sg2+s3B!7eD81oF)Rj%R&!*{*!u8=Yoh^^#S${kfUrC6S-!(6#cPBzBj#mIor-;8W6vG7 zTzwpBibOYh?=k$a+e;^`Kpz^1@makPKa)R3=re6kN~p0i^&dIpu|q^C^q_HT^906` z6;5_A;_Ft5X_PYDo=rfb3bu-X`iM2_w`|)r^wiFQ-!Xl*yY7uNdbojgj-76zOJn3s z6xX-Xxyrl8BL|LJ=+%VTbBj#>k`r!vKnWsAvL=-U5B_M=E1Iot&h=Z0fSUN}Qd_*P zq~7<}GyZ`ur~^Vi8;M|z;)||pNaUmUKii$>$F~~%k1ZO&W)$ngY5_&jr_+k(Gm~vf8-Iv@+?0HLL7I*!W$F6QTcFRvIBRi` zvbu3ZJ*kKV>F6I5(_xXwikG9rU0LlkUY4;FL?^1*X61>!_zGjm|7@frG_&*B2IT@4 zku3&iz%SPvLLK^$O5qF4={Kk>|9tncA_td;&zB>FSl1=KAo@8*+nqsP`uCK7B~}+B z^rPB@#YGTTjzov{`uqFprb0jvotpHM z&s8@s*V#C+*_6Qse3{tr_-7_m65!vE50Q0|p%=6Ur+QtewUKWK4>JF*6nysa?aVia z6Yhi95~tQ?7T8YL)=t#K6KZHtvAp75D&&0~fv0tmb!yMaDR2f*T zk^G0}spusnwKiiZpTRA(VqEK;i7nA*cTRH{?US;#SaAWcLn=aPYgx@dz z6*I6T*y|)ip%}gHQhRTNIqWJALwjNW<;?&vvpyOu=6(u)2ys1v`>%*3BG>GHcAxWc zQ3&LxGFolhwz&_{q4U!+{4TeFfz~eh;2x8|^dh4c5LEOtM{-k+Lvp2w|1AuQ5%x{T z;$IC9rWG6r=0upg)G>&%Ma!px&7ml^qjgIDtHM5zc=oKa{}D0&_@^!n{kf$ry>35w zc&ZbRFNx;&AHRJEAu`ej7{RyyvNk1bILkAnf8PVIuD<~!qUs+MLe@Etibjs0oRQ|L zgnhEYhwc^qM<9Pm}3@&9`FzJ_A#0j_JDzNWMP@0DrbNi(=d zg7ZX@5er_8Z>n)c#NvG!@s@$~?+$|nL8ZW+5ZX>&XKm7$O)_`2pr?$f;yXY8pL7_5 zinx=L_Tx)J+-xILvG{+v$KyY>E7itg@RgbSboW0xdo2~) z9{P7DF%`hV;|dN7IzrK)l?3DTc)b5Hq3h$G_)EwLwJlBu$Vo2*1X@R&3s$-QLzbY@ z`H4z)n0eE)3gWp<-W{C(hnzPi7S6jDY@hFF!Kh`vE%CR%FcKjA=OD#lQHaG+vj3r7 z@C&X(v$xLty(!@E-$DO>9)XY6$|3FlTloAq@pZrw8*<$^|GiQS;%m-(2^&rSN{E1e zL#&0 z9v=QI9v%T6(Mj;mPG)5|9v+#hrJS7lZ8

bw@ihOKVd+yj#yAbqIAezthC)YuqNH zc>4HFTMP>u`{OqhdU!K8DIz2AiP-A{5+5qkQX7;%eQ;Ap_Ur)3w})~tgz4RRq-lQQ zr%!w|^NleSGEv?Wo@?GtQ`MN*ovBzS^To;&c*$}suP2i9@P6N3o5*K9Hc$NhlC=h{ z%&~J8c=Yx(MATPpot^O?o969%x;rtlWNtoBR+>xL#}rwF)RC~_-MUsc!xkt&KE{0P zb4=h>cPTvibH900r<%0fc+4Qw+Din^awK+sT&i>N8G1tJ}Zt#h9TZQe`4U1G@6p zX&n>gS(~VT>`8a5R4W@I9qmsu=vv-iZPV5MAz&Bom>QHNaB9r;=lVCUrwBY5hiB;{ zhJp9*H@4vyNm}t}Ek9_%BOP;iK6w2AkC}%OKS<6R-y!Il$km6RQ@P|Qvp@Om$ThL= z?72PNU`5jK_>Y~mR{fS%f4ap}Qm$qE^s*Ykst>ak+USiau|bhk>TC8%@@W&*!22t= zDKuG6Uyit_a3h=8;UgO-pVw!OB7qQEQHu*Y^_dUz19bV`2H~e~jJkJ#Z_sPsm3}b zko-;LPqo9pE|`|JpV)MJd|gETYmD6aT&|}K=k+7VY18zW`QJ_`He~JB@q8jMZnyGX z-e)PfT~x9G1cb?z+Zf7f`LR=;xo_C$V}=;|w9w~LRp ziA=r)YIk9lc4RksY6I`o;U%Asec4P`c=6JxF4-eY!g~?1o=~uATLFvTyxz zy{eyziK?HNoT!J0F+gAQ;>}fK!!SZdb!j&i>6wv9!jho(wr+TfC%QgdZK*lscVUra zYIMxU-c01%>dC!(rh$@ocJ0o1tp%K%=W03o=BodgT0WzcMu%aC&8?e}b9QUVn?l}P zBNZRwN7vS>zE=?ykJj?$v-h&jUv{As4;L~y^*EHVfjQD$HgYv)^9pC3d34`cgijb@+33|8j)Rz;inc0eOP|Iy!2Qi z`XJrNF83k2nujQBgQsNK70)YdYhz=7J(5)X^yg#b+e+70BMT-ztA(7zn+hX}Tso13UeeS4C)>zW{S&?r*b^I^C>fod!EcozcRL})Ms(xGG!fMmnLB5A>W(?c zUVq9@86eM+f9vY2phs*P^3Q%K(6FU^v-)_vFQ}7+Fyg|u+rK4#h7I0Wya4;A{QJc7 z57)G4g%ony+qnoQl142g#E6^a(>?@FvpI|Eh28t$+2*l+(c@TUkV|4~n<3c)dOA|U z+VfXV*ViWHoxObGwTV+cWj0w>&1@dWc5LngMqQCjCeE=tv7zEM)aRdb{<`5sFGXt< zr1PuGP11+H+JB_MbD1As?90<%GRths#8gDl0W$#)Z=5sc92FQP8&r-95Rqqld9#q! z<8$S^J3lyD*!V8kvMpYSXDOy)ru4jh@zt^Ke!u0Ovk~9g`S|eX$)8L=9e$c>aLzE^ ze`2lV!bTgvOzmzgR> zAJFRK8GW4uosL$F8)O@&HzI?Ag35x@6kY_$n^Y;3)%%1x(QgS2cQ{*YUSr~oO#R54 zwvZH;IFwYG)G^cT?CU`ynNSsLC?|chTG2P{d#Cfy-|*+xrY!GSb;Aw2y;>3lvgr)! zA1SaVzi@c!@UlJUX8Wh^F-zjYNh@tD#&*<)uB_%xrewyHxU|YUo+X>^3u$5(8R2m( zj4xZ*;ugfxoSCj(NhNsQaP}(gRab#l0dd4LlrYL`$a+X)s1jv^lJpSsKzcm$5M1Zp z2%AOZ3A_~wX>BykdBFGxX6{XAEa5MHL*n7gQ`DI##fmQGjHO)uZvOU>G+!0WlVbxc z-&h(RM9Mz-0+SnT8y2XyM~#}*3I+{bKqz{IpAEZw&fWgEokIG{%DdU^my;J1auh1- zIqF&Kua2LpPkT|WqRVl>(Z>N-35#})zN+G_!k!9O36DAW(rx0@S2pjsY3ULk{qlZ# z^iS)U`!RirP7G`KYiw)Yldin!H0MLeLW*d3X(ZpKz8&W^*YDOlFuR#QrfYgXr$h|C z(cND!_T3{N@nl1j!JDB<<%3F2GowB#Ct=~*0QW$ai@bOkENqCQTzNCSGRFI@cgp@v z!p<*4vSWGQKX{)telx{2lb(533A2#x5;-SN+~MKWX9x4Lkq*e_07PnCt1CSf;knD)B(4W zueQ9l2}6>D6N`vN7}HxOOC|@so*JB*U9K`D-*RO1y*|uJrSvK8G-Lc(RSQcEP+ScBYTrOFr-C0`qttlEebK0^` zAiPfa?Zj!qiV63X$z@gihkmSn?0z<~VzR`t)UsRt%})fMz@K>D7`$N?7)!(+5EP6g zsr(``NxCDn7cUT=Cu*ElYdPvLNHh2*n886(=i*vZR%=cY48+=nb^lLEnpk4mSEpXHe-FL%@lD;ExJ#8(PdJb`u>OFIb z=JoFeulph=qO{+3@s8f+zR3ScuAt;mb@Q{vzQ~TKm^bD8;jvL~UF9<`G{20Gx4Md` z?{tZNlC9f)r5WCjvXor4-%%wB&XGp#YL_L835U0vFJYkt{If3)i1n$nokOygYE-aYNyZbMipdi4DYe75IP&)aP8 zO4~-%nkmv$zgx41r^oe;;u{g$yum!j+O+4{&*72BB6o%9Z46K=3momKO)>i-JvLW{ zHBb|^_r7<>4BRO0(z&k_X~SvD-+SPuI2KkQZSRxbXIWa{JT(RT31jTa?@EJ9SXsF+ zEEwJm>E?!)Z+=`XD-^M}Gl?@9D)!FyPTBq9GjSk&`XghhkHFr8Cf1e@DCQiWLAQ7A zr5~9x67G+5M0B;azZ>lJxj27I`L%1uXhN({f0uQ)fxFhy^mCI=laR0tMt+H5&l@gD zyN@Qn2lHy`*(SWVpPij~*I{E`(;B-gx;>?7US=MiuqN8$H9WWX(&&2iH3R!<^^w_b zk8Pb2Bl426k}jk5(q6akYZ{unrJE*E`+Nx%lx`DKS$kQu$eV`n>UjJ8$vV2K=O^Sqtg+;>gk(ro=yaH}I_)C(_!r9qgjGy1t)s@dxkk8K1od1fbs3^a{ zRsO42dBF%?CwE(CV>ez~rwfOR9IYd7>SW?*Y42=lXUhVuYy8j-;Vj9<25t1$ze74r z-7Np!$<_&XEO0=6=o9`cd;BY{Vg!ueO_bn=&i)544jGMo7jRmN zM1ub>sY#Jc_Y#7v7w^2KyqXsH4PXZSJN_8_$94D{dYw67boE -a)|ZFyNOw`21| z#1#f>L(ONHK?A8lO+Dt+BD5!r(dakRK6=3^ODMO>^P4~}kJ#_jims-|z z^36HfA}-k3n_ZM=UQ$p}9&C|qp|)D0J%(PiT`ht|HrOBkotcaU8hKYL<@56%^6`bf9N}Y zXRpmOuBA7u#XnM3zbc?`RZNCwj`-2ZDq#8Zqkz};a$|G@v#;0ni8q?F?u?D^|+A_D7$BHry_1Qt`CnBkpU`q zDGyg~TLshK+I=8BI?Zo>mh`5P!7$wFyQD<3{nZV~2%JfZKmlqH8l;rC@&1V|F-PZ; zNi;qt3#)y^ab(m^Qd4xEQu_Tj>khzX2W*B%M|n?6(J5qSL2yKR1M!ddLOg>m12&O! zOrnmDbe)=o#9KZS9F6};L(!SSYbANa**^>@G2k(A+a1>bYP=$f0mU|V=l+t{5p_fq zw}2s3er!ha$2vzsC?vo~Scd3@{|8Ha931laHO+r9-G?mr$P3of@ASYe^5?RYL`1Wc ziP1N3yqb3Qi!$`MWc}$o2X)Yeun${%jCA zvtiltc(}AwtYhP)xZq#UkH%jD<26neoyYB&NCo&2*Jj#-1KDptS(E;t&(ZOODJVLN zWT{}s567#EfiunMC9xbyVh0?5V(BHx;qrdnRA9JatJa+(5E;m*>$s7g#c{h3!qlml z*;hwAxeuuML{ltvxO&?&Aa>Px6dVUhqHC8}(&3bC&PThw01`U+mEwqBpFe}~e%|NV zam!ykL($28S1=gIjJ8qm@oC=^rCx{gS*QT<9N9ES!wXA3XXRGWbEwAZmVIM%9lYYT zH_mLgMCyV#I{kUT98s15|0C}H1>nb@AAq&L1f1vm4>)=Ps3d%(|2KS&REC1?j*Pm< zyNL1sAa_T==!wVHr2hf3Pl$5)(H=-*lvn+T*u)LM=$sxwY8*?VHixXfv!?kwyBXU-OzEAMlO5;}lH%wF9x(}$inm%!a zI@oc4F}o8-oc0R>7(Vqn`bd&=T0lr#FR6}31D)MXcy7l0J8{PW39k&gnaiB@G1cK=Z zpg97(bNpWzqV?HZX$aO-6-`;AFt~yn&teM3HzvNlfaAThKd=u}sCjyvIjI1WaSs_d zGOleW0o;Wxl9X}lD{%ss1yepNe`IZ{!Sp>z4c5cu+dRPV?z!l{Y+oP{B#E8h@k7b^ z2?PIGWUL9pc{mvsIH0DxrW>czVt0X@pTS(4kE{U)pho5RdsW0hw~q?0ZSXum2@`_mtR`ESc42ElyA?ik+RZygOX1-2^k1F6-Kn2(M~L^16K zh-j!L!2A2Hqd{+Efer`prTgKiXnS~ksbWplZ6Z>KTbn=c^Ks+pwhz261dT`L`HdQw zP!*q!Q+gJ455L>5IRZy(gLP&l4z|Z@FQvt5px;v;g-2ZFfMfHF8qBzZCk6lkPzv9? zeRu$wCLn#iszAP@(?G~p^Gb%@ZgW@T*u5quI@nV??`ME<&^=|+(BS2O<=@lry8%g|JnDM%H zyZr)BLH&yuih3rA{4dn8s)=-dYSvX2bXP|VzFOPrV0RXH`Z&>+f+ZNI0;_=P)uoqM zN>eX@u%V%y8#+)#D4?D}CksctD6qedbv|}Hvao|mmph8U;Dse?Ljq%A03s1a-ovp~ zgQ663uv=TtU?(xH9wnAR;6w>*D83B?M8vI&V52%SoMJ>2eV)s$W~vWo zW=5iBGi6ICL9q4)P3({Ayv_UWHK2pjVgM4j3>(;rP5AX8PW-Y7_$t?b+W+z+49d_< z3;IfHwb_M?HcL2~4h z&YyD*=PoykmIB^GdUXYBOa4urJn$FGm#Xq+Qe!qN!s4?lH~U9(efQxB`NRD9h)N*|PMHTRz_-hY zg+Y<3Oglh%lK2DP!=omKe-0p~s=03-*JXa$!=VS}8pvBR_{mCw9vG`nbQfh<6lBzC zpFG4Wl@h=cj|$IOT(BvBoF_Z)hTCGn2i+6z#BM8V|EfS#N`Xc`j_i8lzFK+)Z)*3-chG*dKiJ{M+Y!L_M8AZV4#(sa|*zn*Im~tx2gHg;Q?1Ch(h?Q+}=rgx-`2dpgYrQgnA7ATJcE# zc3+$mVSOQ4x(Ra^sh$Ie7l zEv541c5`A`7;~6`Ay7Bt;@glzB2(wR4cU|o5I|`p7viGRwilmU#Fx(7R&I35MwR~Z zC#^9KX6&Al_@B*=(E9bAGl48Cr&tfxQPO7?vpg_zP~2MPkCHlHRsj^X#`-lGkioe` zy;qPu)c|pKih?DU%RuEbK9^MQFD!TE`V=kBV742iYu>|=eNI)0$Y8b-fZoA$n>U|; z-kPd6Va1sVj-e&Wi%UE&p6Pw?(V`*?soSwRLYuK~aEXJn0t+1$Dk7sYe&UY^QLi*f?Zwt>7`9!Q3QXpMF z*Xan!E+P}qp{*K%%eq2I&O80MGCE(-YU`|5y4E6Idr#j+JDM{c{w{Y0Se#U1UiAoo zA{Ms+$nwd6P!5H97mJGk9QaLK6Ogy&R z`>43#)}OvM)J_hB*;+}yCjJe{AzX764`&kcqr`4Bf zv)3dXGIADdeqlgf2!ke=0Fa#?l-6r3Xk3P1O<}?8cTUhOAduFuG=sDso?BVd>a!^* z3)6hgK{b6DaN2xhpbH#5u?q^ByRU3u9e|(knbO~{lxt)O89Udz?nGZ@-&?w{cC9ju z0Qh7wXx4h4HZ)5c#4tJiq6loD?MFk~Ync{TV^cEJy{^6Yi%^jpUcF|5S#@i}x5f1DR}0VpMTnHfX!OI5RMpet zis9MW;%0*Z0-L{{Wh@!X{!cc&^N)@cU>!a>*-hIiG-dAM0I)kYzktn^p8z+1Qp6E! z+5j*g1J2>CpDaEL*``hnz!Igd(_gVClmv{!|8Sx%0Bcw!%(_Krj>Daz7T&BUx3$F zU2dx2z(LXJP6cKLf|;b+a4Z3OU_{}?9J#}w@FO=MAhP2jK2ZfoE!OS0(&_p3ymaJS=h7p zAKnB38+FP-6k8N<1RR(kvlTxam?#BUt{yHwxTOhDmTHEE6VLt>DS9Xc=<KX6v$Dj>v^Z1DH0KZ@g+3O^{x=+IS$V)1estj>5#6=x7uLE1E7H~cNk zAEi(jtIq*Gj7EK+f#{kB$-*4}7_RcFP69r<)URGZBnwlaCscwesqRnSfJ&<0X(;vD zX81gDXmCG)b2j!zyUtN|MwUxwW&w$3*^Fc3p|fB~o+?6a2y=i74*|_rxY+663!1xZ zw`yY2wF-MFm4m-V85GNRT?&->Ck4JD|5&C2@BlbW?1Fy+4d?(!MxzE>?i|Or0)n*~ zxQ^x1SMd7zk{=0H-FI+)3dOu^Zo-(ZX1E@qT0>cHIS4Ah^2xWfffM;$M6 zt;3W29XPfX0*e8BFcvsLU?!OZFRrR`5%7tv1gsy(60GldQdRRtXh2ZiO zZi$0S8GuU}j7cy}CGPy`0h64@d&$z?&b_;d<7>U$O#h;&|M4j9KVJBwR+1I(71Ima z-k|ebu9GM(BK)81NPuwX8o2P6>I2~y0vTG~*2C2!ZviJ7#ce(tLOiR%S@b{^oIf_v z25Whqfq~C@@8AIX2?8kZ;2_!`HM#eL52}5|R>naLe*o%cL%$SSa2O#0E}HuB@aMPw zsFQiIdfWho8T}vVumA=2YmRUXa^66i>JYF+(dtphNlzx;Omknt?I@-4hRw?6;Z(=} z$wtII!zUsG9)ba{ffb9wf2}>&0Vg`9_2LXm+dq*Iee3aOJRqH8_U9pq_|*Wk1(wJh z!+DWdfH2jsbjSX85tJffB4`*x(;~T(s3fazU830Q5#`;e8LRZqJZTgZwwe7c;IsZs zN!FxZg~)_FUN?SB>&62-fHu7Ary<8D1J%-N^b_%LY6d__o2C(eMHc4n@!?fHz;CF# zXbfbyRzVmwF=r!kI51Ha$T&`&AdUkYb^qC|cm!&~O%y#pacp%210BmH%t&Te)r%GX za(-Y*OCY(QuL@5eV)-y(Xz8S->P%6!`VtGa7L^?cg0`jv11a;PkCFkXm7!N!wn2bs z-id|*u_3Q}ibHnz^Dl6iFQKuxviVu4&5c*-$4h`X^+2>p3w)?iBzFa(s}0nkddTaP zafdk%K5|_DaF5y_rFXTy>Ffcsa<`wbpFXUDqXua z-lbF1$H}OhVbQd(MKs_w-@%@#dg=eBd5(()1rWfnu40D(NN&%8J)#~tK@Ir@@b?wK zWxBI+{~8cQfYuS8oPjc~L+~Bw$oPzs8G_7}`?93cQvK8cLo17%s*30+m* zNPsS_1$8nAYwN(gZk$-bRsn$L4F(^b_fFRiOhmqYvGNIQ&^XMx0rpEQ033@O^3^#k zKP!ROGLH?MJCGQJbtK59^D7`E2X;t^ z#{%10d;}7UCXJqcoT+&T#yk|GBBr1N0lElY7=Rk^k$~mMWg0GQPyrrp0etB`RGI0>nmbZf6b|Y&sACh?Kq*1j2=M?>GPr zL83@rN+R;u<+Qh;>Y|hB!i9AlXaHTbpBuJ}2Wr4_;G;09&deK7b=R#Az}0jq0u7dF z>jS55S**@FY!RgZh(#6)Mb>~G_+t3%KZVjt&w}s~>{dY<^q}}FR5$SmBJvwlNfRtx zz!8ZCL~e*uBf95HhRJ*}O+%3jQA|~ibX7H(HzOY!9X|yqr5|&=3aS2YkPbGT8+5^; z+8fY@j*Y$fSjGgrs;`K}s?83_I94}`8K4OOJs$6Lx3WBO=tbCkUVYYw?v0rR( zS3f#|APp*e>W~5`$vksBpze$;;LoK0 zLoE{_bM3I{0;K?ce14ey5zHy^`8>JEuWTWgDO1%F422Af{lu3l1g$|KUEB23xvLj{ z#EKSJNrd~csU-Lw>?}9i`3QO~z>P?uGNNV_PdfZL|Jrwd)Q@L25ibE`FX%R5D?Qu* z<63mQ*hKd>!E>_6SKWi2@rjGDP>~TY!C3FjzR^xiwNtrOXsc3CxUDT7upNlW9GwE? zukVg=0&Ah?Mo~Ofnte_~r;16K(aW1-b3k-32M&6DXvy0_tJ) z^P*Hl$&8A~(AhB2$#=`!o%8D zl4(WNsr`};IDV)P{p#9{bC44Md85po`1d((QwNoH#(TLHtBsi{$>mjH%+gg5ZzWVf zHtXEU1nR5Unp}q-)&%@A0KKe z*q6rg%~j|%^7uxOk}qf@)PimlCDeWk?lJV_%`RU=8NXH$CT6hClhw8VLclQTJ{9L$ zL!~BhhRN-h-}00+rtDLF4JrS5sr3)!+6Si?gtL)C;Lhy1cp$J$C(u${QD34jFl#0u zm)^6-wl+bp@NAOWcqrW!Hm~($=2J0tRqn0*?NaSNmCSdWoA}DDmp()k&HVoUx^{i0 zgU8e7*9m5#0`u0z0^jv9MQQZiUeLSX9tT&-baZWsy0}{zcBB{4{ZHRI5mTh=0N0TF zW(|@+A`y_#fk*Q{njrn{E5Hufyi zd(3Bw_k9J>w%`yx6qhwM{o=3bb+QXl!hms@$6w5$Sa(bz*p4F&Sa__M^bNx63x3p-RJb5#{Ye4bVvNB>mj|0>4l z_>DDk#CgtpnYMcSCY_{*^U{a-Ddo%g@)L7K@SLK1Zj;gGH3YN<6!AXjnfUR_1Osq> zW6b{6lBCv}$gGw3h7iiK4n3F4JnXZ(AT{S){nR!hzk$g!U?R$>%JIoFNPXJWjsXU~ zzaj~q+^zxrqkETjKyQDZud;Py+Kj%P(YT!XZsIxbtNAa3bE|}tA~B$Cx!1h#E({2b zQ85c^@r1$QtPOIoT^Zyp<{+!_Y0LbuUO_HfWN zUk0|V+RCe_>mI3^#EN|DHe~Qz`b?wZdw@k?9RTgjF3VX+60>nb6N)PaCew!ftEizJrodIanQ+kk?xY)>(OSZdEVl=;D;5HgKx?D@1 zD^@({*c1pgNzL~v)>=r7wrglT3|*z4EmH2LN$+Runs$vyZVd_=xDFw-$8}%`?OxXr zZ_j$Ld6HTKu&YVtwo9DS`!i~_z4<1djoh_#ed@mD?J24yaLG+wU6W9uhjSr5X|_w1TS&2D&;kv* zq?x+@LXj1AwtK@@-soi|xF&@r->Q(>=+vz3(lHuZL+yT#s#;I6N6)0WR$EVt%r2IW zhfxf@VOzWc0+_rXSDWe>GhYnZ*Pb%o8gdPn9KNL<6=b=@23@`on{)4bg6b<6A=80v zhb}k4eFZE`!bE3Q^ZJAnvSXv1hZAE8zY%Mu-683L`6%>O&Z$<_zBR16nQ5C1QXUh- z7Hp*B1^o4n$3Q4_E;KQKQRM-84!ZxeZ&tCp3hw5RCG7n!$JC;>h}%`jQdQ&n1aG*yszf57)BsZv-O7{>oVaID>1g}Y9buz2_B!eDYLxV@Z0SLxU@b##HI1so zRBB$!$u8+r>SN03<=13kLt3g>S9h344PYw{!?fwtoy{OV6Y_n{`<`(qf)#Z|4x@-k zwB6{^39o!9k8$6q3R{#K5Z{JhOc!6NqpAhKHz?9xXYhg|tuD7Ezv;OO=-vrrsWwg` zETcEA2RG!^d-RhF;-f^F&aaqpu^`;4r>UEbCoW=hKJc2z??Ss9WOw16?7AdkaNblI!z3IT$}Ar|Hv7) znNnGEVr%%Gc3dLzc^xEqkop0Qm zI)+;bz{MWIR)Rm|Ge1&_(*V&f^029IT+oPwxzFW}?t^Ln(XX@zLmRFi^3d-Yv|3ce z_+64|&JCLHrqssv*=cL@q-U{R0qg_hIs#7z?wx>0f`}rWJpz$l2riNZPphWwGmqDY zlIj>Z+{BCq8HrGK4mq_-8UuqHJ~R&bp=K7o_x9`Uios4TqMRt%2ZdyLtx~&Mj4{_NHFPagB0Y|$r@Yn6r0l)eihuLw+1%V6qg6Jl=d=%h&uu-)<-+>|1H1ra#*!$^ZJnbJ65UFD%l3m!}Z~RqT ziefUx_uFGy>5UZHnwWy&O3&3+e(4K?4o$m8cbDQzH_`e5wbknfaSx{A&Eo~YeNE2y zCF{$PsHlatt;i@&ZKTO6X=^}~p%=#wFB64{R2rvdNmpHq(XX}3)b~y?>)Ng5)oIl3 z{>a+8`ABG{jI;K2_&&SDPHS)tU~_p@Rk^*cdnkejLv!ExyKK~R+xIK=FI?>&tbKKe z2@rKM(`go+SDp$)bdRhKt&~lYH1Sm{b&2MP{X*vAF0mvE0u_&IH`f8R8^50<00Yg@ zf@!Okg~0jmm!ESnxm-T~iIrqkYV~EfGkM^&FTUcJUU1v2N3eVMJIGsUTzZXz<3A`o zK>>@)8JX+2dAV)rd%Wl3x%x0hh9vuCKSCxVfDtpd%|7$pxUMbJm$ESDwJ^($%xV{O zAio!Dtmk4`WZqiU?qU}HoA&0*^zNWS({9!5WE3aNKIk%@GFnoNzOA#puGJj!&U4Yd z#tM#PJ}rj+5kK;J&UaNL4DGf(@T99+u@6%*oSUo;ud{-)zuy{ul}(2 z>?x|-pVVLSPM%8c-m&jpd(0oWA-#9ttAH4OT+BbM}r**XkK$r#vb0BQ?f=2S!ai&kO%5YfoFR!sOJ}%K27!e_r!o9(3v1uklliI}>y{@4?b&ATBYU&JvQKXZ{f)el(>PmhR{;27a$!-u&q}Jq@p{mf-fsXsN zsQ?z~#3zRKg>JuoP6mP>S_R4T^JidA>$krs0LCd4>dg&u^`hJFQ`HREwcgg+eyZI= zVkEk6ZaibExc-BmJKb|z%{9P|u|#pcN73^+!|(6gCM_i5KC7R53*x=e?e=4|QcOv? zS;A;22(sUE&0QKlo5Px}e~m2K4yhm-cUZ0eH`A-APP?!VBDr9j;y#Xwz15~7r3_J~ zKxbN*^IbY=AFnRa+x{qvmwF;)>HWVd{c6djB@94vogW-RHtPd2#~``Wq8E#i!%rNl zt9y3c2Ax339F&KLy`0QSr(CPk&z{{68{~#(>*zSBNuXt}k2;BWZEUpp(HPhz+tkz* z*iMV4q$e(Z%V#Fxmtw|T8jK%1>HcXsNjZQNxeuRD8>w>tF}=K;;3M*lq=;OxT5xN_ z$(E$uw*kfMFD47y^88{1SxPSG0+E;GT_{);Q)0&SkyihKJ5 z&!Eucvef*3%=OEK%MT+*DwMA->C+zAxuI7SYa9r*eN)8Is2QK&xU<58UQ>D7ubP5D zBuRqt8Ot4=(uqC8gyKJ-N+D9oFS58f*4ls-7n85M6>8Zgh^{dyzhGLuW6x0kN* z#N9{+`$3P|@Y>(ESBx^G$KbR<;4PIK7v2 zjCUf37hGE(0JqlFLt_(*t0 z_2q=aAYg*70tYtnS4-?o@cYg%A<^X^tiC68Y4a<;&y{R&=~BC)oG?keRKeA80Yi87 z(XDsDdSga2d+vTlfD8VhoKVUt0U~f#)VQ_tsVpSQ3QA6|FMmE!yV}Ihd;qRT27%kU z1y(-mm!hYG&Q(hDzAmv`e^#}>H6p!-?x{v*^3y-HWpk(@<_zHX-D%2ifS)1(SKi*3 zNZeMZ4ZJNa=6PeD;Ie@82m5J$L~==k=Bbx>(rdqa-Fl{K^+ z2YFKnka?y{Y!)!jIE}yHBGY%65UQmSpFby6)_Qj+EoizwywA5oYRZNAd^>`6FgJc> zjbi9}((aj|2V*~|Hc7+xc3Kuc#8<a!*zOyBXDB#~8miC8tf$Dzr7oiVo z@RjgV+eW`EcUH?qGZ5Irk-MW5`|-ni%zL-!$~Nnbt9F95;%G(e*ATP_Z@pZ!W_nf_ zTK)Qduxp)4#tZMQxn01X()?Msb>iyj*FO8qe?I~1_YmZZU(o|`P#7+D=K;9Ye+m?> zo#wTDHwzMS_H1F8Cz`2uh#71O?>?0}){Dtss@e?#T9%2i*RP-fS9wB1Pa-f|URk@Qts}wHla#vr|s5nmrpC4cc>UA3fj_5Nmtfs1o(2$Vy}`wpzI z0yOCWG$AY32S)pws$ht_r2HuP(%-3^S@pZ*672}W-drXW3^Up|XXk@?i_Cpjg(>Qn zc!DY!iKnU(cQAOm*!F%szv-PE6vecgqo=m+OK&PrdaGLf`Wh_U$9LX$azk4XAEABm zB$P8gmiYio_>CPK>~kb>Tom44H$FA-!O=fk#pbf1oJ*uq^*(glt4MIEyURj-t3X+m zRJwX^Ju^hl`dLaXxt&|KRR!jAa`+$v2UETiL|KQgv$-zfH=$?P#JSF!F$zY0m1BgQ zT2l8#%s2HV5!Y6KN0_t{i_g2rw7#j`G7!HLy=TxmXO>`? zi1Oz~A!rf;w$W)l=+3^+ipr=16*KYavLaO|Rw>;c3xPA*hB$z$r31Yd>aGK!Q9;Z; zC1SeqaAa9cWQhcG(uf_yv_nr$Pr#b0WZ~=^P+m`iA2@m2{)}){?}2sl@T-ydZZ{)F z7e@@4nU>J_zr^jThrBJ?s@pd(+x5PItfUp5B{R=pA{lOlb7s{0%nkvAT4t==872gOt9Nv7`RydjqXZJ!2P@O(z5r)pL_7ZCgu zJuoBATe-C}MvM%echg|bp1S)d80sMvo2{X$<@eF^rV6CKM^D{SwOX~p3v*nF7T+TObM1ehAk>M0m~6L;HiTJ2s_0) zL37noQ2E0K;-F?3xD4vXf!|+q23vNd27ZtWzGusw->IP-cuHhY0BSXiK4JF4%z3kO zNq11ai=XyfWSeIldS>L9z4RKTRcblR4c95gkVEmn61+jKhovO(I7k83Y%5k!tlD z8&8p={972|L3D_6%?LB9T&;45|Fq=dVBS7v_s)cAPA*Bf?!<}F@+cip2J;M6WUdnV z5x;Myn?F}E4gdN?a&yQyy0^SLet8IUnt9M|;7e-BZ-6f4VwHACdFeoU-cZ;d2=xx| z{JKFazUW@{Y{uqxtt(OZ{=z}8X0=zpZ(yj@C*`jEX-x|#b6OrS+W$DKdre@`DJ@`V zQ|eP|KFAm@@k=qZh^;(EK3>ch7_a>Nsr>1M@MbRh-b8|i` zef(bHUe@8Y-26+GYpIPY+^F!41JBML-?QMm9$SayBBwf1tLRRTz=z_0*}VK36nG}f zhvkK?X-;03Y61zA^mWBLi1X8$HG3sn?J19-EqmQU!nH$7YJmr2L`_2vaJE5rGBy`- zcn)t~@Ty3Qhf$x@Yf=i`iM^&dvt&tKBnEbFj2YY~qaGq0(19i%JY z1Q`U;oK2xhSN;hX*rf{aWKEabSvrL;#_KZ`4VZ(eyhi%DK!PAXErcP@>A$|DLS_ow zf)Y#XLB7Ej&kEmwlc)4+>*TlV=!A<~G%b&5*!{XdM$h7Lvw9S$mKIhxeW&! zUq*tbQ|b4m{b=Ku1MO&yFyR6{gHDS4JmDjQ&i6~VfAG6h&##G)2uq{ZhK)CbM2Pq$ zwjPx(g~inTzTLVmnzsA3f6neqmBS)Gga^;MwC*fXyO~iQ?b&#cYBVyMB#So`*UG8) zoQ64{0@$=L0@&Q$?2g3VvG98f?mHDZ?^@Ad>XOL=o+-``u5J8y&w1MM!Bjh8@RKkp z!OiRnkhliXH+Y#9^s04zr4j!8YnYIcd9$~ADeY9UT7kDu!l@hULIWSex!NRVDq`ev zA{JsAygtoo`nZyzyqp_)L8NTbwx&0V59(^pw?iQfF#uFdZ4O65Q5Bw_2Dn3}G!&ou zynL-2UUPFql)GYM@`wCfc1e5pXsKo{a!30Ipdx+S7c*x!`a4$BsdMKc>Cj401gi%PjL$+W4H)I;MSWLv@*7|z^W$}gSTWpr`e zu9Gr)D&Fa60={qr9_6)oeAC$b8so*~we&`=ra(nJF$sC zsquXyXN(yPvvSXiHy!>JnE^fG5C_Pbi#06QfV>?`n+BlSv1Bd|Jhk0{@^R($0NKeG zq%Wz6f&F?{i)XoyJ})|8$mqb$6If-Jd3sRk2VL96d`wi$^Q`Q1o~lb90P=e?Sq#2lA7ioqw|Z~8(pI_oCox- zN~YG+H$nm!UBp?uymDIu*`xH3lkSz|^3@5h2N}U#6_$#>nZ0?pUc*Gt7Qw;)ofYA6 z-Ax)XXOQ-Il=AJ$I7dJ}p_+B(uj$1MjQec+^3M=Vh8MwlWRwwE$YtTnmpc%0PhQSh zpP!6#JxJ|tbz05pFgnezf>xU-nMiepwfd9t_EXqvH%`|(#b-( zK&D?)1V##?lYZ!)ua6|+CU#^ZFUY(mY?J?gd{iojvU7iNGOHF26LH=C=HeN^9)(=u zOE1Ig{|LU=17^G~jBO-|0YVWhqJdb8Nb$`Gv=ge`FNhZ_se`;(lxJ@}m{W((rncF2 zkz~GJ>i~3Wyh06-P6N<&eT8P{OW?Q`a$r3M;V$+=qvHaeDTpi&$)W2+gq*(r;7k1H zMY$O39?5yTV95M_Z0CCoHsb{kO2OOfFJW(d6BR;_oeeVDPJmX^{MA~WOfOzx^v5CY z3q5n*-`0dd=v-uJ0t3%x;rD|_BzrhQow1iuWDn+gY4XJvLl2fRNw4SD#qPa(K{iyXA^nrps48eWYtP5DNxb6*fj zEmJO+ZrODTY5Y=P?o0Xq*n8`+D%+-C7`T@TVh{ofA}vZP2uOp3($W$O5Gm;t=}@FZ z8l(gfWYJR6VIUn!w@67N2uSa_0PpvH_xC){{p@}0{e62M-}{%b);g~_=bZS>oHKJx z&E~B%b6U|UCukw%lD%vDH4u8=utP3fEAe^WV>?lP;{4SWHgO9rV}_$~r}KgK=8a9~r_5GGg4RF`jLECpt^u{ylWmG|J4^_WQQ zG&>K$qF`d7mVWP2XHT)-0}$ak^X&cpyB09Tu{?!`vv@-G8|gYDqPG*xT2HHQe|;RG zZjn7PNtG|syB=co7`-l#RdjsuD_jp#4!TAoJ0OMU7KwyM9E?mr23)A`=8U*)t&aBe z=xWd0NRxHvmUSPE=`)PV)%54s%=A{k*G~RC!HGs~lrs3XG2m#z#YNPaT|Is3Zs7bH=CQrvovF_+fTFdz%uMJ7 z5h;hQ_NRvD?ALhV7RDeHowSHfvMf>@s^;gp2=*#qLQ)<5*J87CAh{ggMF;J@)a^(g z0&jJeak1@fo~&6(0;)bs*@+Rzt%PtzuF62cC9{TD#C}(h8)%2y^$NrbgX%QGybxv? z#&5GGMM;*!8FBj{wuLqarqsB2+(%z40Wf_kXnj?T6!$b=vE%sIr4 zxFd|1O=m_J!H=k8dR)$d%406 zOvH^OsME}O8$^c~yxWMa{&fNKyRG5((4xPNYWjyY`iSi;g6u(&#rgf#m2XH6a$V%e zp%wje6x-jmbn$aS+2r5#xjq5KfRSN6*IvTF0w{t-Fv*jWsKd^{Fz^Fm12Iyb|4X`F zp@XMj#F24{Z*?3;I;D2hs{%8G0hn;ebYKNV2&;QMKqt{7nrwv^U zXuuWS=!!*{7!n1AWvo)Oh*JUspANY)r3qQLtD@+c6w+oXFuufv7W>>l%9sh`qz*aX z4Q4pYCr%6Ial|L~)q)`oC@AJc?Dq+ixFg+w`h&AWs{4i4jR-)}y4kre#g$-^_6H*EOYz|}BYk{AWYUp2Hb^f1 zH7S2YiuK^{$9P6k52Tm_4!3bIf#83A*G^PY&LyWUZs@HuQ)}O!I#~}TjM1q%MMyXb z?D+_r`DkA%d*<&Z_{agpv9Z&+3>cY_&VUU7Y0EZmkw_Jn9!fkJ>^KAWC4!(HnXPfv zI=rbZc2)A%JbP|dR(^jh#bd=;^DpB8uZioCNnpVR=zTi^aFs14PUDcVpMaL9UaSg9 zV!%eq{)f>>IWsBvhoW1rA`V)i_~gJQ-=}n}L@gu5Ut{KE`$rCEATw!%#B;E0NFJBLr}W zZ6jDdru-H6K7ZQZ!5X$ax&XmK{^A{V|F#Y%YMpbKM#fjr7|u@Bvyn2zR1B-fG`83<0-6v?hl^Q ziliJVkq&&M*G|&v9+T$GocL zJLJb*qRaKV2ph&k=Z(0ANFqpFU5gfGpAHMy{``63A|v&C4+4I^}Oj!xAD-M??+x| z_5S38k(mFfRP8@UXqwtzp~xN|s=Q5SnEq^F&~}+BeBFID24*pV_BqJsqLC4Gn#fqn z0JQSH$0sl$_5wU0px^mwOzN<2lFaCio-#r%XQd+P7~s3kkCoF+dXL%Tm@tl_tUZXI-Xmu&F=npCR@ z;zJPT=Xu8;u*9WGpz|lI67>N)JiK76q%Vw@>~eegd9fe;aI`#eG61?9W?sw8gZ_Z7 zH2$SgGwCnd2@B*CAR}LI*dOb0ruv+qUktZ{FFKAm2%aewBGi3Zc;(|7S8Ia5TB>@x*1+(BP%9I}uT2c{yLULSo-d=yQ4e5D(P z1`18#&1_naFW=ZNOXh%h*3i>b3L*6txPoZ%RG&iyH$q+T*#2?FcD&q?FuSNVO3U)x z0#qhveDE$~3Tr+FSB1m_)N~*`l5e8+QIrap$Mh?j`~Ci~nwTCmC7k{oL~AMtl2l<0 znxaNY3LR?(Lf{7CdyoD#Ymx$~4;i1&w1;$);|On$p8i1NdtS*d9Xi0SvcQ;0)w&~a zD;{$ij6dUBQAv=zr+Tb1h&4zD=c#nJ5Qgj&?a#)xgp5|k2gnO5oaM39?s~}i2b9j= zdk6#mGNXE37ArrrzZA>-L_zsyljCdXI%AoGen8bRxOF$t*4z9!efP&++i*+`nk)PC zFVEbZ~m+U2SUS6`5di|IU@8#`u0>T@9_3;t1hPcJ;x;c-J(iU64a$-BF zySmrC@M7%5mg@-bRu<=+qwv8C!li_DaaRm=BP+*8A4%LhjL=I;KMma_DudFIOr=6sDP|sH@I$|n z;SgMUhLxOi{YJbm7K$3nOPfffb0SQr=ZOdw?sx&l1*9rfAyG(QE%t=PB;A@{8No?+ znh<^*F4Inel^Iu)*}j4_q}<#7?0O(3Q0&GZDC!VTtYkLqv#~T-*tjCp?6}l3%gHBX zad4dR#xpUq?JpnA7OxOEI4??YtdMy@UAE2zr}5CG6yc3=;`^|RU)LWTQzVmld=Gw1 zh%Jt$xp3wI5kDRPf`z@ZD|fxkFTdKj!|kSna)ERHkpE%*+_Mr zb3F@1G+kDmG&2=pM(0uaH2w@q*E4@DZ ze5;`I#59$MU7>*^#m5#;ATxdHCE`w8vb9j2>an-WVKpppAC5OPT%wc2-!~k#gMz)G zPCPi^(jvm89C}$?oN40TQoA%3&BA)F+mDW()Ej^xj62~SHVJ>u{>4_SMZJ*fR0=WtARnvEHGI={ki)0zySh> zTEct}_qt~|8Wq;hh)a|r$(5X{W7pVkh~pX{;_=6AJUoyNESzrGc-BjL0@Si^&0C9s zkA82UyOYyWX_AYB?%Cj5Ag<|KZQz(Z(gI-%t%skA;+_DE(1zir#Ev=YxjG!SKkJ8s9_$8IQpvR^^@4uM92`^c=b>EQzLIJv^Jo)Oh3->=l9QF zUfm1^Y1GqkK^GVWMKGx{&1`3B6pUkDJqs}9JT`ehFOpfEZ>%C~(^Ti2;M|)J?{m{X zp{Z-1$OiIpQm(|B+hi(9$`522Z2&tZxbse9D9fv2V=WugqYIsIN_c^&vP+$$bLgt*4k3 zT(+RQer4CbUcHuv5K!AzyRWB7XMsWbST^K1?ia0>8yL%l1dVmd=fJLB=USnE9_nnA z=OZ2$YK!!xc1}mJYBjPy9jF0;3(x@lZh zybe%~l-G*WHw5DXT`C`4t=i0+qS+nY@9ou9NSakSlJz%lgRFc%f6;lBtFvc2w#T3) z^ZjHGi~HU2G^et53r>YALU1saX(o@bP)e`|8N%m23x0g~1bCsu$g%28CGQ_=2t6EY zSkm{S*uq3t0(p_9L>uL5=u4hJ8Y7G2B2|zbV~TQemOCldw|`N=tMn?~zB` z2p`Zn)BJ_f3nLRvJ!U5Xa>2Z;4IT?*A&dq#_=L!f`l~XIq<(4kW6ex8)~i!D24KkU zB?NwaZ(r?kb+nxCFS;wWhBPWA#s;2Wf+@aoLQt@4t<03%daHVQqN!Y(bwy>M!fEAW zRy=t*(gg6O#AfWV!lbSz_NE1xZx^iiAF> z&{5AQF-Y#Y0!dBL(pOIJ`)X_O2X?P+P@v8bUf=xw3au``1Ex6s2!(70C7*o=G*zC7 zE7ExUo<;I5cLA;0T*tlFLjpg#3yc*CX3f+6%Ea|QqmUWNsb)Pn<&Vm?bDbi2exfUS zJNgJ5B(-(yKTG6AKX{h-@Ecy~=1k^TYgd*=hZ8H$0_r5VmPXX>>d?hd^ySm{M95Ly zS(h9_KYXN=Xx~DKP#*zFIivTP1jn7; z8k#j__I7v1UJIG`UYQ;!&Ry9wo@k6Tgyu9GH+_l)7&d?Inn}o+GiPoUnRdlT>d|dQ zuxKbnv1oj&Afhl;kmv+Y!ODUoHYQd*$#12ap@K*GY3JEFPD!@v?PV|xX%m&cOm#c`RD@^oJ_(Cmyka&3_GHLlzw z)PaTrLj~>6?n-p}D8Bgvm>A-@v94n>vDjZ^CNos#;PzZ%Q(33lz4Ez7qI%Yy&l^?- z{zMf@F+!@e2*iXPdCOoak`4BUJ9*+FF9foMPT)_50yf{oZ`Q}8&Cv3!9G`}Fm{5wo zy;t|FUb!_O%Wd-~A>Aka;@Uv6x*btg5=G-llS%S&)m$BP6dRg+;Jkx&XJb(ese=)= zKOlec7RKcoftcPZx2^h%##D-AzK@S0DpN&w#rdbn^ygQ;oQu$FQoHdab1_WsJwg(~ z&he9A4u&JV{Y9wlP*vN@GQ2SUd5leu^zrj6cW(@K=)Dv+DKzin*e(<|d82U!+Awub zP(Ja{Dm0-%rda@5S0Z#6s|$_>qx<;D6OR_@+{uQZnX~Ogu>W8~A%;^y z@i`+Ckp-xrfeC_%zk1++96P8n@Wgz~ab4J(t3TiqxFd67kxs+7>phP|PT|h=7s)i6 zNg2KL{l-oAp}E7%D9;b7n$b^AQECnnOjS(xD6^g=caoMm7zRbfLeF%@# zY}bB9hRb(-!ak64`1n>702>XZpN~A-@aV&2^X|vgQa2|P7;(~Og6iZ$C2X&yVx8{= zXH0XVuy6*eeMkU?^ImhfE3;Y_?#a`8v1!CYd)s#R0bZA|7T(k8;$mK4=pO{tlcvUmbB8#&^RF^qbz?3m13>7C}G%# zK55_;ie$D^WMGA{P&hJr08?$@JuT&vdytjjRd6nUkpd9%kj67$JJeC<x$9N>3&I2T|L>Sjo?{uyL?ym!NO{R+@YQk&*d}6TbkUB)7K3aNcZ& zVY?QRrmUKUmpIt;I_cYdK+Yv`yi4Ky@g8 z&kg*bCnqWRF2_~3U&SXla-TEN;MUJ*=}Go@7@d(uJxZ;K=sEQBJR8aPsCaesMv zZd}yr%1}jDw-`+d>(yYLyKb$g&BSHaZLj7X#IM+^w`;uy9r`5+w*3`;d@He*TWj;R z6_c@ZMlarQ?qzA0a#;GsVJHNh3s)M=wWppxf#^s95*9{jB#LBz_=*89+EIYhEX;q+!_s*R}wL9KBgRAdSC!C zq{J`|*vC{Pw<@tVO8=)C`Z0K70vX<4MMV%_8NqOlWCRX1GhvKg;;kf<^;!T({Zi?& z-fJ`^6~G`9b*mwaVXW1MylQ7n%UJYDyUq7vME@a-Y`^m&)q4B1{E0?;a!IY=x1$>+cj2IN)}w=!^=AlhuX!Z}@D&h*Zmc`n z48Rie+x%6SJxNlsM=QT|1qEWs_K=Hl3>U|U24{umn`Gy65~053=o%z`C2x5lsMQ$7 z$~-yn5KLHP015MJ!TT$|Eml<9LACa_SVG81*9*O!{$#oW{*~=JVDy*sWALEySTWDIHXf=1QA@ z#3`e^nP%jLHVlwJD(t;8bV4(34~i>ce@E@d#2{v0A<)55U;cV=8{j9ecWag_c{$CD zzQ6Se>@5_n1lr&ygmTvv`p(@~2Mw)Po`V#LlPtAga%7{ftVeiEmaZ@Cy z&nc3Xd1{z{bZu%CFmwb>_l@0vl*zK62!RB;j-ybwrZvt$GuNaRi3mT;Cpbc zSm0cbl>CZS;-SLu1l~ByyACm8YCL%|o1wu81ml833w_rz`$n=i#shi1$^jR6=?ShW z8dsSOlsT9wd~7-Xy(N}wlRg0eg^<#{Zm&fMY$3k1N&Qzb^cLcWr zJk=G+&JD5%5QaT4GSq?m9JM0~$$5P6J?(hW8k!~R;U!67jF^u1#SLYr>T4N+L<4$Z=Bt8)e2b+wKv{dTtkc1 zdqNeLK6)R)-;O=H0%1LeNDT`gp>yN2#XduPuft}=geoawyGN(4dM%R;jrw(PSf z;EVe}RYVwo>Mr?~&<7;@5w0LKEg-7i*_d6W5CLECD#U$Ga*w@yj$?YT)K1gp>(ebUn+58KV9j!d6`pHi`orbzx#|&HJdDXlknAPQ* zi;V%^do>e2=X1z_*G@KV9s$2FDWIrcY>A%D!^4H;Yg~;!xYE)MW$V`l=?g$xhSEbG^lgG|r?i-|&4E4B$#4nT}qTy!%f!PFs6IMaS*kZSUs7(8bjAG*pXnOsX3i2Z)NH(c8U|bu;*a{1Uubyb*>~g~Z@bIH`!EUy%7tBk&G(>n#h*yixP>QF1*@dJ~C%LKf* z&8#rI45#Xonm~AzSv}`5WY^bn9A=ZnRZ&jIjCI^jr)#a8(Y6i)ryP* zfsb4>aaTZSknR480}C;-ivMwr(822xr__y_<6wqJo}%D$C2C0TV3VSMc7^NUARr8*o^icXm?Q_zuP`8-9aRAW z;$&QR3oP63q`;x=tw{hbB;aQ|!5Ku~tkq*8sJ8!Ag#>q;7r2ZVhjc_@(emO683VBfha$=g z0@UP$_gusV4z`x?8yIB*_}czm(!Ufgb@2oR{JKJ#kUwC5=S8N%ych`1DDrshZqw?{ z?yUCcPC%IDxbO&W0i?la6Au%EPu=&e0&RG|B^=~p>_WW@tWd#DNc>o27`YRYyZrnX z7A{JnGe(Kqy!W;{1YCs~rlbSEz?vkeoj7`^x70~+w(=f9ZizI>t?LZ*kdY69!#2Z| z5}@dBB`?6eX#^yU(^OZt7OQnF%cfr!>R&ngTYV4Ycy8+i;l5LVms`UAHN;wcs0l79 z8tZsiK*n8Dl_$5pI|t4GkDRNRc*3I0EimZhz}@cKb~Lys>CPBiNa6V}Pp2h1XSn*F zq8x`X@gLxbHN&@le7aFVQexDM@L1k=trCAoQ{T$1iX{?;G{~1sb#{fW3;YkV>}R`M zI_@0(eYONFz$v}1f#^Qk8CMPNizmI}5r(1o$xdGKO7bs*?7TFDSIRjLN^K_$fa^-H zWn&`hI1ZcwShlZ-e&kM8HJw$QDi6DQ7k3=7pT^%yt+DWsj0d+x|G0q;+{9hoGZ_H} z3dBG%M*9AP#bGouP&DFG`?*5~dVPg({7CUyRl|A3sW_#pin!zPu+$WT9uC26Ilb*) zKfa`14S3Ovg~b#sB`&HW6CGh2&tVu4|DgZ=<)D{;g4lN;=J=NLZsEKK_=2Dwk=9n3 z8WeTX3lRvP4d8N1YC;3Rghs_f8zr~t-=G=`1s58W>!QP;j1zAD(%$c>DZ^gD6t zq^KI?)(0Y4X{Kt(Of|y0$HQi182^+zJ<$4+)5|a52a7TvQ8Xbua1Kt&$1mbw7a>I) z7a{DBW2%PRLa9Jf)_?b>T_|!cQ+j+-mP;IU$dwx8wVG(RtciXL9qvb9S}oD&_5ZjZ zbb|C;baCokeS+H(dS7e2I854;Xzj>_TuTNYjs^XrfY4?b4sil4^&BqQkW7u0%!iL> zh~P%TcYAHXO5SK|t{_+?Lq+Ot)WT)t!U+=K_twMr%(%==K{gDikh{)9b9o2E=??Ar zDN11ZaO7h=QEDqNb<1zB$;#4rLF_06_lWV$hd4m-x#72n{=)loFn`T)-ulxy<9et} z7;}Cm`6pLzBj85S{(3YS!cE1a7qPK*K|nW>Wo4D{ypjUT06lBxRIX|Em_mkV#TE)v z%J;FzAxJv|mjdc%C|f6vz&bh+UQ!}8$Vye0h{IKGP=8Ohgbn16xNp^}7PxLK=fkDx zWk^F0@{<3DzdbZ#uC1^UTOFK>SlA;71+P_PRj`2qKIQjt^Q&-C_BnxS3)J+eAQzAS zDEZZN4iUq4ySuo*;6lCCk>TEZA#e-CPGH(n?WS54Rb7F%6EG4v$aL&CL$Pt`k>g~! zyg6~GS65K3H^Ckwx<-Yd3O1cXk!}@*)Q-XDWC@`hCgnpgBSPH+yG5?D*$*8g@MRZ% zUzd&LH3z3YZ{&vb*sDLBDC(IT^3cXRILM?(Fob4?BojUuWffT^FOes(d5#m$mk9j8 zzz&?e2L%~lUdvHTeMPR0CtKof-q!yemqEH6uwpbhyYm!sk$bGYlpf^@o^Yz;{Z$KH z5Z4{mw~)z@feHu1$>tajuKZ(%CW@4V;lbP5f|CmfIH+dg zHfg86*||F1F_kO1_U9RS9s^&0y8Ubz8oo5QJZVa>#0fq>F|%%PM^X6l&fpI?o z)iWz98n=rf#Cb>PaO}Lb$ZbN<)5CS5K!aJl=w&An|6LbVPtXqgNXt$hM>1l+55!9k zF?gB7Rn4S|Q%(6-@8ga?hFvoDmR|b3&b}(>`NJ6#-Fj~TXU%43?tcQ?0#2fzNm}SY zQx5SeDagc|nfWGja2hNW;ZH>5;o)=l*n58!%(3(u2wx!taN&Sj%et*D9o2smtwVok ztm-eqFS+mAu`0l_FWy|m#X*Ai0^PMDyTy?C*~z}svf{WRB9va06hpLz8Rs+E*onLk zAca9VkQ7%~8pQ})Q|LX5@)7}d_p$RQw+boK-Vk91)^#_Ak?rs2f8Cc^3Dt84E>h;i zPNsBJ-gBFF+7;DQqB|W7^us;wi37nSfQ%;@_M@R~*i2Jf*%fBoaXKJpCj+>`*+pbi zJCproJgY&TudqJ#PldX zKR(vT!suhktruiy_uaCHHGJ%?9>x*lH0Y+bYyPq31%6{iUSgvhtW05lk9FwiE;%P`DOcwq|a!fx#gAAvTg$=B{- zo*23rS7oM)NWB3f0N98Cuo4nFXfoYrKP{dh7$v?hGXK~!x4Pp24Kb$vewYp=DHkW$ zQXc)mH6bb*cwbVqE;s4NHxd!xe}fvirC*Z)w!#s742r`ySi(5T^D$Cs$@LfKq%&|W zFWmwQL3sYdp)MYl&a@~1rQ2Ef1>Pb;h>YeQ|KBU4|NEr>|B#hg33)8pLf*Zahi&99~R{gB6yj(c=*YIb1GaYd(&%0jFbJ&2%7u+Ih~I*LcnH z!{rw(Pp0YyfBGL**%==sjl9qitOG5R?PYB>}jg}ds3 z(Jj$mRl9H7ZNQi?JVY*CeIckQMe@Q0P*?%)duI=j2(>p@VVtAo8&Uwr5*_ZU5!54( z*ise!t6v~AP%Ji!uHV)z?tO$fED{p?Hbe1;@g{!+4tFBxo+Oy6DZQ^juFECvccn;wPw6Hh0E7w-{yrWx3%PGZZHqlSUNZ2^$R|<(ZAis~D;Xk`I%H-DJA#r-#?*P6#&?EK* zklU9D`Ed?OTU^&?!@}m;_f`IX-QpjLzL)|>9zr~vGGMWN56{pXY>UXi^%MM)pSDbqFCM(su{}i4YOuXu_HV4w{P= z%if+A@WFt%L#hq9S;4hr#v z#{94|C=RH{Hl|`e5IM(rqP~jM8mY9-7YwQP>0$p9Oa{0_0`maE3oi0c|6J(4y}4?V zb!e%5F)I&eubjZ~f=V)c?FMCONZJyy@l7FWPu5v_5w#79Z(MEpUrO`;7h6zlK17r2 zu@o0B-|=WYl#X2WOBlHmQm!i2=~Urx_NZ4461?V&UuJlUk-;NNutQ2|@n^J&_wQc{ zbb0<~#QXr+QYOpKR?6uRypaQ$i^JqR^y5RXs>Ga3mN(RpI*xM=97sVhRDLC1CZs{K z3#Sy*R);ULVS+%%jipU)d_R4(gcZ*I(?aZF1_q`^h$)qyKGvlpOCvjvH3r7QT-UX-0 z|BW3->uBH~f7>9Va3aF7PFTl0N$Alh>87{F{5uuTnAd29zP~Z*;)uDjCN%xLFm(Kd7e{}$6OYOBu&2D$h-YPDbHIoT-MT&gExjk%Zr^N9> zvZChG;nL?7qt9IAn+O9VA-Ksd;9g!KxbQi}TVVSOOS(p;S4YomNeWv;TEf$K*Y%=0 z!*BQ>CfZsk3~R)!WWpyI$EVF>qL3R3ipZb+-~xYi2sr{Q2GG?`ZMZ;e=c046&2wDsunh1$5AG;p}n8B zU59@ky z#S<#a{cjPpgHWfHS4|uF?pGRfA{Qc*KjPSh>DdK&+qr5=qkl$@$-lznn*j^kP`lYk!k)kdrmw--FCB%X69$l^)9%F@GDbUJhv%E zjR7|&n(b=q1XUMf;<@L+t2+7a&3!1YkMLLcbmaQm77g1mbX#4KFL}i?{Gjy#_T*M8 z5*YzqakM_SP8&7!x^xJG##VnyH}XS7%DJtb3P%(XDbtDYCJM#q^Nh|DAtJZMhoBy2 zyv|9tF-+GzLbWNneg>v4l`fN{T0VNMG*$CSDN~2;vTB)ZUgVtu+jR4R&9sii)x7nF z!gXDLijH4?V-qt~9@!`@+h9S1HbEH|a`hs~gpyy-pg3bF&&CY%1el}uE^6%#jMy%%mbrNiko7cJSf4PI^Tu72BW579-C$SmYd z{+c%Wr#R4r%z>giJM8p`vzk!Mw*Je9n(-mV4Ph?zUMGV?nyk)V*o}(Un)2#Nq*rY{^U2S1hg{9 zj!VAXhBGSA1#t48Qd$2@tVIeiTf60Z;l4-FOp}*O40!0~TC3g^+gJT0ow{7oYg2m0 zL3zYo{*%C<`ti3`feC7PbVrVFHYhcGWsBtj%b28-W zve@fCCbM_!qGaBU&Q$5oR6BqfXCLpM?#ES%;-;YWmIq&^t-tMl$wRaLj>p6k>a=|C z65yVP6y8_q7fSE_$|9^k^OB*i1(YR{HAfBP@^YoCiv{Yt_l8an>-md^G?S_JxpB5J z%b4dq{9*%~be3U@yNre1xf(Qa+@JOmKiN*Khq+~L7x{_#RIb@nxl9=j4k@_OSF^-3 z^XTqYOOV|lzP!zq8>iE07gA`_rL&f;jXr+-ZBwprTX;`mwL;a-@+-d=9`g_OrUbu? zR%Gs(UK-q5Hx8fJ-6fMO@;L>LP+flZVe0wY>jYC<52<9GCDmBASnc^{*8ANRZpE#U zUAI_#M#T`WvD)r?;G)KL+JQUe?O-)^=F=V7q;J%BRh0q)PRLM`3k^ z@bt8`*7&nfsnbGxsVW&tg86-Y9&4jo28|yX$NCk1X_0MA%`4P`0aT*oF?>(FJV#gj z^Xy{qc3@&yu?DWgmOI9B~Xf}SmIf4&$=4CIGx>lz@Vf!e2<+|^F z14B_Q1n#mxm;UeJmqqeI6!SoRGF5d@rmBA!L#;qUchcRJ61&%T2RX$I->e@Q2gU2IZV2^4e^0$!@&aI~TZuBy9I}-MI@lx3EZqiI-~B5>PRPlVV{ky_1LQvm1z!} zok8-~vJdl@?pJDklkXB9w?4=1tf}pS8TH~XZ)m=6<#Xyo^(3C~N{a6I6HH*r=%O3M z>YI>r_?sBhga~H1=Sp$ti#Yc12`&wiDV4j^_1L}qgm-T-+~(fGDd-=_R2kBhtP~Ok z36WAQaiT1C8&E4v5wp15Tg7@Nxqjq}VWV^hsYQxYQ?*oJRGM@bxdYLfLWJ0>_dR!9 z27g+=w;|R&%a$k?6dgTT)bDY|orfK&4JE!TtwR-t`wjwj{&iq`&A+Tz$4Okr^;>HR zUrdjV?yhyrY-VC;LLiY_Th&(J^TjR+OMm+4d8^JCGa;^uVp+GX()uRGN~;%zv-UrN zaz-9;=2l+Rd`LTuFK#ce_K|bq(>r$YLO<%6Wb0p>NC@fr_u+D^_|Pxo#mFCRLlo+1 zm1{Zl_l9-O^jsKNvKu}ArWoyDYhGX{@GEZ}Uza_|J)1iYQbw(m%Qci_{LF=A@>l#n zb?~i*fV*JNm=Z3(Fj^KOu99}<)G6UjgK1$`{Z3qQ^qEt-RLHf->4R&NxLuZzI-T7H zskAP_tp>cCYF&R9>xhJ7Tr8Remp6Ow+MHcaS5cKz=-=^8CaA#(PyeWgE z+Bdjk=xT2BFiF8OGoa6m4bBU|HPVB?`=6%E|7ofP#Ezc;0 z>G~cg9~lpC21i`h8lHB!IZ8`{f1E7S530WNRWm3F2DImF68@lQT6Gj6?mDeV=JTQF z7|=W+_SgKN7vR0V@;E;f_7E7|ve`Jx2YzMtcpO4wD3Cl2&f)O8#pth%b1xW$qmBk? zmb}2{s`~j6%V{OjSIl>GNu>{jP=!gcXoQH z4103Wq3CaGzRzN3vQC)E3-A@D$?kpaDiLCQ;q3KuW=~wZJo^>Wz!ltSk{W!n`Aqpeu4d3ZEkJM;q7gql=&vnsi*`q|NcRj zwt80Oju%f#pCTg(SA?AtTr(S2Q~&!rG1gnHE=$-3>#c5CJh+l^-f8f@%~Uh7iNfHz z!iK?epv{!*huWSKp`2}tB#vwpQ01`9u>93?!N+@nv9Iv1Mdx|vRSzY3fz@ry+xB;F zv$e*PmCYWXdgabuxuC$+jV6^rROS_8CS??TdUue zP{MTlNk!ww13=vM+>%f7)+3EwhTn;mQ%zU<^U@4jvpgEU3Qc{4)^P08)pT;tOy=V` zGaGdFg6Yue?n7xxT&4Hx@f9RRfBZe-HCp#D# zmL*Ba@0+}6*7~*6qqLaxA;rA(xXq49JyL79RRoy!ulKG0RBsCX`Br9TTB3`iCOo#o zLeS|-hAC>J#ClrXRuQQ(yWvZ5Fk30WD_Ay4EUw5lC=#~DCSch-#Bq1dEyoUX+eVkS zvP0GO`)Ia7Zb0P6iVOUUacv)2vIw_OFYxrn2b76DLWme-o{Y)4ZSgvpK3rU~0q7IQ z_*Ph#{F*tNjE640uDpvD0?G1a9#;P#tZS&j@ko4+orG8{pQU;{XN3qw7uvgJu#Jur#b4iB z-nF$X{?2%+h1geB(&@ zjF8K}8`HePaJIkpxFY|eV$Zp+$|8{Qi7#cJq~(Q8+t6HnBbm+^l>1JbYw7Hhg7~yH z0S1-p7{h^ri6>rd{-LIMasI+fo16w?n_PKm0fO8=oCkm2e&`j@i%nI@*_|$7?lSj7 zLU1vxpiGBspxNdE64tOE{dXlD!W!#p)=g2#Q>99z?D65(ZmwiZ-A{0aNv2otK-FFw zZJnWV=X~pw%Q*m&%XJXij4kWGAUw`Hhu8QE&EI4H|_b=pvgD(O)xLvrV%Zm-<$C`1@=C>HwrLNv1`0&b!s^cq{W2H+|P+OH6!6t#ld$%dKCY z{%eT)uQT-X$!z&1NQ}P6rb7*BgdV3IyZM<3C7VPhrEF`_M~~vpGq@~h@a4MLEL%3ZN2RrTSG%zfkd(r=JP)vVjbHbdKCPe1WE3zJlV$wzklsm3y{rd0ds{Ct}a z|tsa;FmM?ksz^*R5>l~R#Z(0S)bSIrV{D-#!s z{{D8hY7HcMI(_cnNVP(8nJK)#%&@>-_|>zyOP6q`93k)3lxNX;oT?yP1JMcBL!GG9 zOLGoC!hFzzY5h#R+LXfsjUGGc`-Xl@Jeg8Ll-O=a-k}I_|8}-7l4j8x*4Wfk)68Q_O(jw8}7)@aAJpxTbzglu|UIG|fMf zpq*9Zc3OG0VkR9Xkg0yV_XzHcKI0_LQB>8YZO*oNGusR11pBov+plkk1>0=ev#>-H zG!%@vy!lpMYpT&>I=)ERIS_ObcE-5G-oe8j!a+HdZBZ2Q!K*U7n}g9X%?n8P;dl>82nW_!O(8?MGbWfQqg zHuT2&2)xCLaIFA%q=8pu1S{aq`)F5)<-g(z4^TPa;LoS0oPbyaH0A8&{d#$mbF(J1Iyi@_+Vj(vdlWi$S$yIEkVwz zWpU9_Zs$#M-ihOku+i4+P8RPnCB6rVbeMwjJ)JIMAkImU?7SG3mp<@SpZHl85T|AJ zPVENpfT;hhrHmT9Xzv++N_du*mR8=UzUVcZ6%x9QhI@#Gj7(Y6z#`Lh!m^;`@KSQ{025#0|0B!W#a`V?E!Mh7ibXM-uIItdJ=MiVUvrj#1VcVoU)!tw5W|&0uZ#e)J8MAF&_^6qg zl$>3v>K?MhN_OIBeVlfi7-hE5m#^BED44!r6nFOi8+-2^7ge@3hytRbs9-=;B#D56 zfQm>?Dw2beB%=}}CkrGe5fuSRA{j-J2q*|h#sm^96pEabR1!-m0g3h2sVcDh-oEqo zH*@Fx=FPkR*nOyTc369*y`s>JbaPw{eC}W0pawO3mCdI7HiqaZHa{BhJ&ykMqR(vb z6-&Fm#;_CWhWAqFu5Qr;%DtbM{9PCv6_8$O+| zeB9y(Z;rm$GTxM6trwB1rp*1ZO%_;^<+RlmPU`El^q8?}2MjQk$6HTIyTYD3@09w< z0_X!DvOhSKMeDC)u~pV+KU;|UZj4^9R|;&8X55Qq`wk928GkqxN}6(an8E$v{* zUlrcKZ@b#*?K7Xir;5p)>bo#;+{pGD?$TTX@yC(Xx@fD(NRHleo16MR^G+gw3Mx|+zdHXE)Zx=3QrDumS&euk=#y< zc1aQJbOqUI!67Pr7?)=JrBn|l$Paj#SnK1mc9^qGJ*JHwlWm*R{TN8FM;|b76~0o{ z+ew*A1cQEx-T0Xrke*3a7mOx$V#dZZ8?0%@wTiXvE>NS|?Dzn0eG$BUcH2*f$b@p6 zPovmP_2HCXX64P&j9;JCG#8>q@$@_`J`zwiUJL@gLi+D08uhJ&>VwSG zk{zu>bQAFtjK`0F+@lwKcM)*wQ-caL`P^Xk!zw^5Bmt)>hDgWewAYuZ>5tF@!cbfm z1~TCf4@^1?C(ZeSw>K&Ujvz(l?LqD=L7WNzM62;GHA-L1DsKlu>n`fMdD&A9{8H82 zeA9HGvA6d9g%`lD-m5ij+y+DJf4A)gz>?3^N#l?y_Z@(o;^fx(VW3|uckA&wKqPSl{n`o+$tFEei_Zx}XuY@fof6GA zK=RhUfvh&@h{s^&GYOx**zH0Y2>;!5;_NXw4MwWmrae#sTV`(xS61Px1*vpIWm%9o zaPT~ZKNS!t6}>AS=ARMiRD28sva9@!GC%`T=f|Eth6f`o^qejP((-xdR z^?NmK`0Hs?f(1BE#t@RtJKF3 z+Lj966bw3{3{W%0%{~d3Ut))AB%Dv|yF5pAA6T}}$?YzQaKwTLqVn#IaRE;bR3^Bt;H z9Z%sPtmYdTIA~eExn@*(!F+&2HQ~W3i(>L;_jG_na7(QvQW zy8OjtIi733Z$3eHEF}V+(t%D<^vN%>>1g*Q#QKIME@Z4qUYu_3ezhuDFgz7v{;|dF z?vVo>gwlbR*@TppiS{zpJ~3X zwoX@EIiNb;G2@w=n{Q+1?LA_Qu09}qZQR6wp2IR}7vX74n@!Wcw)S>HLNV3hx~?B{ zo}yA=nx(p;X>2P3mRe4Pi3#Uq%Ia9Wp?D?lywdQz!pi(J7ZacSyP;lH@&&R+>Avk5 zW4JUu!D?xnq-r06dF^6q-UW_TDJT=Nq~EWAACTu=7Wa&+4i_VQv>3!qqN@+u@UGwv zob_e3GbGG^uH{@UZ|@zDpCF)(2?Gi-6%7Po19Rj@2d(kym87Np?fK^Qz8xa-3ANSX zI*S9V+hc6BTILUjy*Qb*)Q9uoMyf>1tz3F>CCIkoM{V*|>0e(qbX^W+mS|>R@tS;5 zXZG#Wqo81yC8!P=K_|U@yaZR`gk(x zb2dVrCE`Nbc?RZrvG4WVDIZSv*bbqTpadIFf_+&ww)9P)Tfci|B2+O63g%?Os7jbi z$KeM$?xGo4_B|i?>fD|`eM};;$M+lhzyh8%zhP?0&bGzFr4;{zZdt8SywD^vq*>w} zAo@E8UxIpwT?4< zfxp7yE>;x#<)yrROu2)^05ZxjcJI=rq7k^O3r+8SomVBG|7@NY=EWKd*`Nx|LNp9cxbbA-heEr(H8lt|UXrHxU zWnYb{#jz%ET65-W%M|(oz?oAE7bp6NrZlY8KsrnW%g|NkBHVle zHS4>DS@MQpvrEwCW(nNZ($yK4t#sJA`2kr(9_)tI(dd;6CQ>lUSQ8&M)$bzcK3MFH4=Z(>CQKN{eNX7<3-&6Je(3Yiw&jiZz7?<4 ztzA>!xxKMv>b=^9nFqzL@ggIy%1d#&Na;OrYqG(1e(kA`sqSo>&>HPr=s-UZXXPUR zt}`2a$cdu+X@sq3tcrett)BGk_r5avcC%7uuKp{!kz(CvhP+90z7i!S)kN539%XM&K1sfqa-?^A9d10X3Ie)dh zIOeGE)Rg#Sp0w`~tdU?3f-(!*NcB@)? z2WP==U^lX|Qhnpcl`h-DhE+*tD23Sw?jV)?1HP9U6dYa*|JIq{mSAwVkDrH$zRzEG*h>&zv40B z#L~l7{;0R-QzC>rD)AGGzVn3gRUE|#6qJ3DqEa?w*)_nCJi3T^mqqA8XxNA+7Rz#aaR;L=># z{wriUa`o)_GP)5v!tyJhnKAhh!ZNG#hZD{XrK`RJ71)eBGbPe}ktM|)YCUrXjeK-V z1kst=M)mrU>SvSHHu>ca8MZ~C^8<}Zj#IbU?JDgbee2vZlpoC+`kjEgsa(s-_h|IKCC&^-!K;@nq!@Czv{ZUY_)?Rxj0* zTKJYUnTP8L>v4?<+#%gHzico|plxn!ULfQPPv7AV&G&VC+#LS-n6ZdD%gRv9^w+AM z&7l%{Vy@%ko~!;n0x=^4e6x}%l3#y`sQKh$CkU~1^8;~XZeng;cs{X)+iA_{DMtGy z_j#22^qnPII?rkG<_Nrmd!^1X6R!CIovsv)Ksqt~vdNbT9Vg?ig3-xZ@6{Jtgz+1B zPO~o^{6^Rjq)QOhUd4C2bbYNdF?eaqC%=p#G)FX#uBs<5 zOYN|AO}L7@0%`dj`#oMIx-ZL?mIg7Q#Ulw&4}^h*zZ=(sX>o`N5kc>pyqLJB*DhYH9K&Jm_nl4w#7>5%fRmrCAFP1 zb@{yH+H;K)dz$TS%gtRxR}^rBwyym{6}!hH#!@VTW0yVZ_g9(?ZLjnN7j;R_$V^Wo zK>&~57`DG#&ts~ydtM)1UIE7W5#$8(jZVkzTyjY2<6B(p6ijKnCtSrZW_-gGuPPkv zqCRPSL!^X&-mE;5e3TVCr);-8^JKa}&j!buW}->Bn$Ot#-6DIe)P;ktQ-7}49pCHo zwKkXTV??<0Ji(-|aLCimjxU(?Rj3Fq@w##O^vmq!)K#MgT^+52cy9HNM+mHiOb(b! z{0n-x$(N7wU8;Yn*}FTcA#7S&+*-aX?pEX)0AT8&M$-29cBX;+@N4Wf51puc-cF2srt7cQneJu=^2 zrYXGe`GZr{+kTG~clU*bI&Xw;OP}$6jGw=d((yRII$C;Q!na>?>dRa8h}_~?f?Lmq z5~D+nv9W~Jf%MhPbNa>B9P_;*CkmH4TWy}ywtl= z#p+gcBsNp}8_4IuhnfOWp{M6o1)Ue%25#f|o0W{u?vOfPj4RH;eUhK>b+-EP2DUie zZlm6{1iq|1Z&=zp_quDPx{a#cA09?66An7{_X&G9;2Qa&M5V`H;orG4=5#bJoER$4 z%b#qHSPhhKpZD}b2o$X@U}w0bSZ^ZtW!v?c4czkIJylbrj97dtmgjHdCo~fc-{OSa zrVUF6@A59IVVR|&yvX|nD;ZG92UgWKX-uQOzuw#ky+#Jbo9YiGsyyzsDW59N5pg(D zq7#WW*pK1NrtDRA_qWy1^*PKzFH_@6DW&ped3Q~);zPJ{Ki=&zcTfz>9%KtA>H67~ z%0K*5OWnmszAsIHUlp~zw?faq!$RU{wWP0##b=jQoX?o}C+XeV%OLJOd_$x{}uwR{@YSEVQmVvXg@RaRvV&frG75H+WxjlP8 z*};uWWNY6{n3#_|^T0-au)Q#DN|1v)yxie~j$lJ5J>IF30fvE-OK*(W?}If^3~$8# zC%YpqYls;vo*6&$&uPT2vefE9znR3cF%$4$tw?H_K;OK@y_#%PwP2vQcVTqzp{&LW z&o7Y7s{F)ny%=A?Z-)D9_riP(5so#SU^97RDi{Z=sGp>D3z9*spG|H-BqJ8t&RUTc z=7xCn{%3$p{Pu^@mtAaGE|;I{9R?fkxi^%tVE3R6{Ah;Qj0y#M8K@9zuiyYU?Ec_O z{2nIOe*rAo|1Bu9P!-usoRnu0-eonpEN!d%{RGqE|&N5Y{bpM40g`TO0CK z4;btI^VOfA0Y*QtJ=6!M@HIvk>P>7n2O-(=M+<0H;(5ekTzmHr5N5VBJK|hx)7~SS zl;?ACJCzdvIIe@_r+!cJnzWuAxyRb0$`v;8DE-tp%~9ll7-v3T5DiULGdBojkkhcd zcX8wl(SDnABtXn)<;el+K?JSx5wq++S|K$Tbq{4J`_c_T|1N&DzMuK32t_^32g9Uy z$WeMqX!3@tJ>mkr6-SPAl1-huh~@Ox=}Q7K8YTS!x&Ok0N$XFItlj}^w}?gV&qmiV zlRF5l-b0$$iJ)4mPa|9_s|tA9EMJBU^*tcV{b@~nK;CJlX(Y3sQU8VcL*TjIGy$a9 zZtz_DUpQjf@5>-8L-ik72GInW?#qdA#N+6#G~mNC@dh9Z0B^BX9lKGPUaDX3Sfl1eRBhuZ`A{2l`TwO@lqq^NXshTKN&v1FrzBc zz~mae8bbpt@vR7Shz!vbUa{3(uCuR^ZuGguK?!Pq=h_y^dAhpZkQioU}FAn9`2<|i=>M0-2qLX z;eM?UYp1{Wo@vKv048{BlNT<|?!v^hd_5@3+$?hx7IRT7QTZmY=|kN$s%-bSA~3fD zB>t0sBse=HmH%G6qzldX@Tbyb~n z8kQHMimrhBH6$oTZl?y&p=DJra`=Dr#N?MDw}(3Bf?Q0l0Tw0p>4o&NUEa%UU1FaO zZpsAfKY!m!$kOzd@xi?oD<6Q=BDUyJP}+cOYAOMPf5lPWL#f(+aM@FvD4f#m*dCj7 zSU_s!_Q2TPuz6OAGqonm!FOv zd{7@foZ<~nj44#NGB6X~o6k3}EFIMOd}-4dY^SxgQG^G)%V%SRLVgH)&l7f z=O92fts55T&q;rcQxWA}eHF4i`GL78`aCl`oGJJSr*g;D9wr;u$`_7W4C;)h3dAFG)+i ze5n?1-VHf1Pru4@)YWgXG}>v+AJqZ@3bE6x@4e?i>7gz3F@vc-+&t#zCj<~3H2{a> zKeIg#9S_`8obzj|%{R-wDm!>wbRDnM%_>z<0vD=L*%IS?-)_u%zNW-m1xU?R z1O`HX$;|Y}z*6@CEOk4sxAxd}80A$hnfQ+$zw}?9%RhRpl{%D=n6E`YSY9;1m)ZFeaVEpW~QXN?OdNS@|8% z9(j+MaBY^X3vET=x)3cR2H=5MC@pPpX&%<&24+##c};I0C5i}nrN4swqK?O?gKzYJ zk&}g-u+%hTNBwFrvo3;tz)D-YbTzdhbSly;sS|d5CC&UYH3o!1oC7f)Qsn$TiSRMH&|$!}V8D3lPjq3O@zG;!OX-!totzV*nWH{q<@4;E zb&eOSVTe^0`Rx0t{C8Pgn9hN8k$qT7L&Za60ulef1el-XMafSe4q-&&6I;qY?scw< zo=1Yv5NTAt$ovvIxu#yZ=imtEu!$QRK=VWgVF43}(*8%Evg~*n*(x?DI+FTU{lQT4 zaxPYMM>pufmb%q}I?BZOo$cTW?f5cmNbip!igNII{wX*}T)_x}U6i?!%Br!^jrPg> zeI8R|?qPwhaAI9;xYV{?n2iiqy#j&Og+xRd&#@H|(c+)fMEwp??j6ykF8vJ&#Zz;V z!%wA~K8V+bRl?hIb5)TI5Oi|kii$Si+S7*S_d69xM+j*0C)avlyU@t0%?Q|f>Jv_n zKA|-mK2iNYHOy>VtjmbyRoD6i*S8z;m4m~2u*_HM5Pb6VG*KLZ*pwqDGM>WXv`4Um zG*7_kjP@%3M-X2gFZ=Rx!*FGZrA3Bomz8koa} zMqb6w?)f2d7SBvp^&F~mVrU(f)iV+|ETZn8o$FIlw!-YZh)4qd;j}d8Zo$^+n1PkK zdn$I^DK3?hZr@(;OgzbQgt5Q&+QxwnsGO;3$SrGhH=!<<;}a5oGx{2l1J-&@uODl- zxO{u5B1-n5UppEqb_R|Ye6L>DwbTrXoJ$Y7eJ?Js@6#{!?B;HHw!rmw$NqB!PRomy zP@$odvVD5hWt#G`T9=8}!1RV7Vl;v-L?e_fDhkoOLqw->?4NF02*Zbn7G~bc(?j(t z8Xaz5*u}O!-bzwNwfWB>DsvgA%n%OoRF+K*0bLm)d;hk_8OrM*Ffma43l8eY=g>-|2pv~kXe@lS2hiIFe;g1iENIH2r)_>NZk=W2lOWe+y4s7hyDY{QZ=G^hzJ(Gr#6zvZA43NyKGWJ@x?t| ztg@|Oa4mesxi)-?Yj@r3r$63A|8*=5%@eq7puGkV7Wa<|%fAe>qoA@TO0dYkBJ6(| zs>YUz#4LO9l6cjh`N@B#`Wvx+{|*3l$3AO_ZoLAr7LVcf{vQtT?`2>hh9Ms3 z*ouW}Mq;S2^`Vca?H~V#qJPKe{)c(|j^6!uP_%BIF|TII${|g)`6&a%d}afiKPr6> zZ}}njwe}(jjn@#T{c4}#cDO%SXSt|Sw-D_b4v50@N4v&fN0`PuroSx*>|5e*CK03` zp+*cSg3ZW1@sHN#41Q`A#N@EIt%wD&gg$+C3o&jU-Rge{ktv19h3jtw)!seBwii(i zpZ#xK{{^0Z zo)AXjG7rrf@(r(*Kn%)gSVAuxQ+BpZ?wSo+E|hG8&XIY#1q`uZgZ}mCG8NSWxJc-A z|JvHfMRZlQfxjsySyJ~rn;jKbKpAvc9HA-$ueRr|!<<JGu0ltRh2qU z7dA`r8hGpqESppnw#FP`?A*>OCE+RZQ#YXO)Ae!gUEqgu`a-n@fr#`e6`7ig01;&- zlgnMyD26j9o_PTFw-sU=Xr8FDDQL_?P}=YtQS3Z=qdTW)mP^NHXtZE>t)tr4cRu@W z30y`q3hddCFmnNe<4F8PSMW_r8Ylq?=|!?f;0CR$6zp;bqJovrF}>PCeUV**Kg*!h z*_=Po6IwB!?TCheY9mwVq$&8Q@8OB7Pn2W%r!_fYT&0;y-k>gx&w1`uhwWn*OdaVd zsqeyu?<$CpJx6gWK$>QALFH%I?oj#2_U%@eh@kzZldI3L(B8TaQyS6_9n_s4^>HQG z4oYdiR7KoO{sgep*QIHIfm&We_m|4^a0;q^*m6Jr!4=503FBt}0Z(@vb_(B?xkBA5 z+Xrsx2V1at6*Edh^TIyMHvqGfexMrpZa_3a19b0d*iL)B3W+bWYB{_g8iQjc0>sq! z?q~;^{ju-AOuc%y{m}h={-NeCmT_(J!+?0ZxU+_|OJ$&~$Vps*I5fU9gNT)ns)zsJ zwgdb2PRtKGKMJZC&~&v&%_hLLVIZFJxD3*WFvsi}{CQ|aa9KUhLjr=hCkYbn1r^YY zQ@bkdx?vS`MJ=UE+IQ-jM!)KAB*S2cgowY6c=r$)WUsI(c5Y#Z+t#>ZAKb24_9h6i`4;e!>o9TYh}KV8aK-1*pc z0WvA>>;qsBOc0Ymn8PM&`YgCz=bhv>kl%^v>R#B>27a8!7EU=dT6(Ek8nKl{>B_Md zKEX-&v=_}%OSW^4srgp4<7KW>@w8Zvxyk)mkOd`Uxa~ZVSpd7JraZ#pPXTB_`TW>H z;Ln#^TXjy#8g+}+t{l>k^j8WHoA0ZH7R05Wrl(2TlWwKjx2g(%3~~wFOvkUM zo*e~|NY_PzDX75o3oe9te9dVpnqPn;3q6kKZ>EN2vi+c%7(Zv-(N2&yrh&Ad{rvB~zVszo5mva|@L&veSX7{I~aB-T55c0kEWL9K}=lRA->_hFsf&V4t|!k-eXi znqG!2vId%{rbC0Jh;|ym(!4yi143Kp#ecmqY>qpt!KkA~sKDu98id>k0-E1yr0mSU zCr`~Xss?cqMURpcTjDtie@F}j&(?N2I1#!%JJ=CGvH8^?saFzPe5h#m=0+x;%`{gF zCvo?$!qGzy;Fb=aA#51V(c0)8+MkyL2A0a3IKw>=ljtt4$@DxnMntjH1&%&zV ztVk(+A0eghl$)@j9rE_q5&B*zoA)Cht{_rYzDX2`;j>`hAtT=qf#R5&#_#gzTE9Hx*N znv|QA{|vJ78WQ&fk&ZP6UeGB{dc2bc622g_Bo;xh9MO4Kscl6c%&z6@u4PmlT^-R1sH%i0TYYGu!?ChBOIrlq=_9AP*iCa`>qWWwS&ji^cOUM% zN!of6Y~6J(3HS(yDFn`URIkR+VxbpJY9?4#RMY zENX}TF~yJwb2dLe-~;H~*Tn{=v+<~znaO;?;Nrf5pzG6}Z@lB}Xg5CIgktsjF3X>| z)a<)DbabDa2Da*(&(c)vmZ?Oy9_Vo2;QjPk0^*}q+Mdb1RtsPQBo>|l2|>Lh6IgFB z5li78FCYmot7p|GtF*{H}r7_{R%W%e&x>lvPN?j z2ZZetX(yL`QsC@#Lh@nQJHS&omFB|OvkFV*wZe!{k(F3*>e^{eh+_zE~P6(rWghs zb>3rp19+}`sv`|~iYnkOLyF%)N5MzEnEzGH$ig-+u^frS+3y;jM_V!26uJjDiBHZ+ zPhJ}9%uZ-O30a2JXJC*ZnZj!jev13;PH$WUl0A)6#wnfLM{mKl}5;$Sx| zZ-i}5F&WcB4HfrQ$#Xq%@!3;+wr;AeOJHh+n1` zk8IM+rr;w2OKJIC+2K-)St0}x+;bP7Cd@k<2uh94*368*#DmYPhAzu3AN0|Oa(iqq zu%elb3C%QP5b1YyqJW-?<{NCTwL>$C0q!&yGd|K{qXFPYZL(fFBUz+8dQXpMH9naA zC_FISZ$2OHyUgJ!g6VkT{qP*50G&)(UW`h)_n`aZ=HRDy6lvK07NcFalZsNNPF&X_n+_68QN;tU|}GoEmNZbQ;#yENdnZg z6!^jjoy?sXB-Uq%)i+`P=i-m&3*K8W#q9fdl!=;W%Xse&L5rpjL9Qm=voTB2I9H*- zGUG~*kvFB#t^NcO;Rl&?vK0O&ftf&(tTgzn7dFT&kU$*``YLbwTTyCyM_TIbs4u2^|xVP`bA-AcEOl$gE5R4UcXtEqIz4w4E zQM-Z}$oa_#U#U5#fi+%*D{nKXY{T_YBcKwZ6YmOUF-hETobGc$@_LqZ8tivtVmPk= zn*TZYZjBcez%)<=0{EgRWh>CM2eJG3_nHkz7u9;`a^9DD#v$LRT*tM`Jl0U81G2h4 z*?_WzYx!e9R8>I2HsM{bM2EsMqs zAbx{h2@n|xogu3!v|dZAss$EZ2OAlV3@Dqvemv5$;wOGGlPmFgu!>k^O2_kY=A0Y` ztUOcHj5Q|fjzU_kVrkN)>9mnK?hm(e-NMYLo(MFEk4N^iPt*CE!Qh-ZtcvAK0cB56 zH08j< z&_xey8TJER(2qL(rNe*}?%_aK;VN8oxJ|r%$c?7F4`H+%btvw#Ksxh{L8tD~cqY4- z5d*v8h7c9**rn&G*HmKpjhySOZEQyFa3|j1&KfH)qRf*UkQ$%4%5YpX_Tlo-85wQnipFZ*_=bf$sV96Ez0Gfsa_3+{F8u{-Jb zrKU+5xw`kiviKNZU*V2_0{z?F>k7ryXl~#t=Nm$W`yX!kSWvf8CFbA#A%a72ewdL$ zOuEb)IyCR)`)Y{&mKKgS#8u$YjW_+}0>|lWK}I-(RQmviE8wikx1k`+7h=BkTPG-= z5{6x)J$e}#s6=4&_9ezWwri*SL3ZH&M?7Cc!@A`SdNJ z8R$u`U*DU=d+w?|5dBioIF0iqluuSIP0Mkt1e5^>RZRTu^ycQ4i@LhHr<%QMvd1Eo z`6KYnDTjT1#+c@hg8oE7X#%>v$pJMC(Gc?+53)eIhE%7U_$;LV9B)(J%crmP<2`ir z9A@%y--uGvI1M&4_n)8Td8^KUmBA)CAQ>lu(kv5FSVjzRS+%Ogao+h)1wB{mSa^ez zZ+Le(Z9~+lgD_ii;6-5Dqu^pXAnWHF?HZHVJS4igopSa76wO ztTaLI{JnhxKYQzE@r{+4&-6=-~*X@qbdW+0_mhW@$$yPy^d!WK8O1p4&1ao z64FuC65YVOIpAF-9pKq*m01t^#AH>X)-H_bJdQdD9ehQE^~edk?o&=adpahHu7+35 z_?AeGpzgv+ugg3{xI)1S((MhoDMd3nN?ExyJvs@Nu{>IOI`g>N@~(cJYGCTLu{3)P1OJl2wK#5>9H2kVo8FUxMzBil_k zgUXnNsEa4o43TSWnSv^rN=@T4=-f@E(2QMCRW%g*%9{CbR)~84mUr>O4*bxg{8*Vn zbF!o$F4e_{(dg^MP`LC1sHDH>bJF&*2G$S@tzR1|qCUC{8_cm{1KC-;zQ2AmBDhr2 z?~x-Sd-ql6aY~pazmrR)$o(C&)4Zb&#J=Je*G=vB4YL=Y$sTt1wpcd*Gd! z-mws+E~RH*z2cg$S(UOlF8bk0ZMGCqm)n^PRP6=`Y|2qLl~czywTjN4qdE#K2Vss`$&xLaGS2lM=!qFvBL7n zf{^8<0Rr0Ksg_2`mG@h_p!+Spw%pCWbY!n6q;d5HpX>pZnB7gqz51KTW<=Z~Ra^`L zr_KPvLvgHiDNNk}N=^)C15@hJtn!Jx^5J*8)thpfyPN{}xWDksdJKgMpTybY4`}jd zx%BUxuh~FnCS^E?G-_V%Lm5wq)df_f<#{j7opk7zs7^mwM_BBrZh&;|QPI(4ZmB4^ z=y)U#vB4pHft$mRgTJ*-gw~ODsRO;M?;Qw?4=4-aFH_*J{MqtY-=Ns`D0Hs1`|LFD zFHrUCjF{`>H>v2JIok0=x8~4&C(b0g%>;R`eAz60{|#NicTf2w{LupB&Q-4*v-M#9 z;@fRqu1hSOSeIRt)RSNXg8En^Pr0*rx!<|3F?tGrV(@ch+Hn=1m!)TLLne14{})+7CUMeDquLzRO#w^=@us$OrA!pb@pPct8h zcJDU=Sv?>h%%^)xryt4nsC~me8=Ecr0i|%g>!vEmsENRU?SBLVG3*A8Fo_w3X8p=H zr{`^Cs77pA|E(G(dTU05NQou`bA9weQ&ZnI$7nkiRiY$?@E1UBo`>N31Bat&SOC zyBmH32Z`=_{Q*FO4i*u49osPhrVae|!NecCxm4~0o6S%0NhHD2ke^2mj7K-AJ$=6ffxUtc>fa)^>(}P2R+Lq?dxSLI!Pn7 zoAJ^wA77&fG(~gqbtU5b4Ir2&F6-wDVti8!Vrb{Y2} z<&CJJ+R&&T`*J>q3eUQQBsX-h!JaDD)z_w_U&gEVuvoAn%mjoS)IrH4XAAs>&kU9F zgJbn8ztZqKGOmV87B4^9bnwNExzdZ}wrU%UU;Io5(5a=DPnYF1B}?`ce&fx1bp|bp zO{{QHqXBPHRwOIUg?$)i#~R9+pRMZH+@Z-tkMV5hM!u3g%x*r0D9{IfR^+n*C(*kB z;EFC8@G)=&Bh}*xl@uvSyeIyy8irNGvGa~|OP8)^(%?Qsnjwq5@cb(TPhtJvu>W2x zQnTuPPxaDtxjJGo7zkPZRVV%6#MN4bo?^TA3pX)2d1Xq77B=t$edkRoT5kw0M||;x zA5ZsuNN}h+nrl#k7Ds$GrK^h*_%L%fxGXU)%va-m4;Nv?#}nNRY+uNYE&>a5bKSo% zVM5@MXZ3!0%&6>?+p+Sm6>o9ECDPnIs6I~5+hE)A^F!i?xM?>NAWW4xoNDci{rtob zX>6cxV8GksP+ch^jkX@w-iK+!U_Jyf8hG zy@XB0mrrgDd;^W#1e+IR?!Z0R+{Yxzg_)b}Sx%0N8bjrr)E92&+KnZQ%vc1i5XY77 zkvCN&!x%Ub$YR0|k`6%8xHR5s^475Oc$O#hkT$DcnWHV#`g{=EXW#gMFA5BCShV&o z%*dwLuFh*|p~LZ>mi2q5N{$Lfwj%qZk!4o@vw;+0b_(f4Nj}l3#8ee|(w4>3z&HxnR88uN>{gb9O z6o@x?Cd_k6#3hL}*n1+kL_*qj@Y7kk7~njk8DPplhqsBbhRxtp2!`!>MhQ%~qR*g# zm(KTlj-&?eh>$lqwpxiYb`iM+Fa_qe?Vp&NzZM7>A=@6LySs`h$hSQUzlOriSCsT~>h;`7QiuGB}mpqEY-G!BC<#w)=G z8hMm#;HG+_s!f^VJ*T%HY%8BdxQ|^AkOmj4X#PdnKBUA%e%0dBMDMvSP~-D&7>Zz*-L)GJW~>w^qfA7m8a)FUO@Q=shL>P`x>Y@(+B1bR55gL=}Jr{HGx z7Z~)SvQ3flzB^iE+jX%D?h}uPrZ=c5V5z;)!D3#Z>=ukXFleCj`MzPSzq0(4Rm(fc zmyf5MWsO`T73J{tEX3sI4&8Q<9I^Z}XuB<+Hs=ZOUD+0;s*n3|VrBd7LC2 zsp)C>oL3pT}hvg7-~Fvq0Zeht`PB` zDVMuW8K!kONP(Th8FN8CSNc1lqzpB|1s~Xd{vkrAbpWI7Oh=44-h|j~h&B=rz#sQ) zM?{Ar3Fp)&e)zOdX0huZ?!}$5io{?r(FX@Uf$4LQ0jjnHBG;_%6(4@ou?nDZxx8L{ zhOabS2fW?l#NF(_9u=MWz%jDAgcA^B!NSf&PFr~9n4c0UkBpVS~NgO*RmVe@y?Sf(1J9sPKT7%V;1=#i$7DDW}D;OwXjd zQ~P9%Y+oLO!f)n?J&Hol2U1;#widFY;eQ;FXqcB9QOy$gdy~LVU(fJ#A*p%nMWuVel0>peF#_U3SyIH}LgEb?5ci&U>_R_eID=ulJnU327hLl6TsT4efY#kOZz=!=X8wUd$+d%7yS+MZ{|t;{MD%hW z!U%PZP%+1hD>}8E#y+y2y=CST-UsAlu@)__ zA~Nn~y$4%(lA>z+nKh(81}<#c_G`IdioXobiy1J9H_{4Jut80VsQl_x{k_L7v4M>* z2Cl#6Qd*DUs!4P`f@Gb9OKn%S_EMSGg0njmh6u?Ucq~WT1qgaK%!M?(|1HqVZD`E% zzz$anTk`?dMm0$>lvC4hR2 z@0}-}c#RHdiw5HAedIy>WT+A1x&d@vu@CWlfG9@l7Z$rFm#rOuKMleLzQelQPaGhj zjRC-S-NTP8XD71kuTZ5Ff8`WufyDreu5R~n(!4PFArN*O-$J>;(f8y%*@EQ~Djs7< z^TOl^1E9SHZp)^S&!h!*LgKTf4K^DXAqhga;iMV2g~QGn(?|<^4jDyIo>WtK9Wb({ zV8xkfQ5G=Q`G(1kvISLSr;eaBiiFY!@wCB)U|2nTu$46Ab0i<4;Fc!;+5o13fTP=u zGR~9cM3jWFiK7hbn1ICB=n-frNHieB1Hic0b=sZ`8~EtYZV5k`i||Hd_x@?{29eL1 z4JoU9O^l0-pfU{b#?#x)>1!~jq#gv85>gkVP5uiTq`j2g@YZ8qA0l-t9E-LLHgXLg zh|YC(S~AxJa2`hdMOMsTeaMrN<>kILbOrU7`?=|BsxgQJ8}0n{V`yX<-`p&2GQ|v0 zhi-oBw6YJTK5pH#PHx8-A4>aHAq0?i93qdhv$GYWX=IHacfbBfo?HfTRX{}7Z^39v ztYZ+OR2)w-CFGhNxk_GE%@x4OkOcLyb)39};H2~aT{sCxv5)0{OsqBFuN(%^(fsWA zwNGrKU;H*4dS>A>KG=m-nko<-W!zDE=npK39IcRPxQ0_Tn*feXWh$X0IFem?JnKRV zDQ*2*QzI&w=>>MZWO{{<*3yYd0SXlUPk@9uiv)Wa*9gN;<{F&Lr|T-`NaDkv2Vr#nyWaco2^X9A}b_F29kHrGA;|rOD0a(RTKQ!kWViy1Ijs9K35c&Kt^rbtTS)N9m|esWm&5?#Bk z{=;q&DL}fO{F&W?;6VYmNVRDgdIYJ;0vufR;vA_(rym*RzN z_FfjkYce)V=~~BrJW=iV0ZM=Wj%;cK&UVa3WMp0IJPj&O*C%sp61$W^?1ojz7k934 z7eppPF8~S(61RB*MhgBIyP=FVhVuLJNB-h4l02QA^tFo22Z0Np0bPXXc_)pb1?AE6 z?*20Tt&6Zhh5ND_hI$NS?l}lbS4c-}+wV!9A{BWyUguvk9Yz2XB&OPvnV@M(4P1nW z8wIMH_Egn#B`D=cOLZ---j1oN!Wj;m01UQ4%^$bqU>t_D4NS=!x5+V8T9dKDExyFs7%_#ziiRXw) z{3%6iYwKN{XZ}lKKuYvHj?A@S4pweNU*+B3u(pop;Mn>@Xb?nsfyspb;lcm0s`xj= z^1lfu!AX61GxK!~iy+8AQB#wg#n9x$r8Hz##UrUdB&gg*j4eJ_^VTqchK-o&zI_{d zgbcQt+ra8}p5MEEhoD!8ggr!-y{=r-^3oA4PwB)O+CcCwk{X_E#UQ+f1^l4jLW#29 zNFWB7cKv4r4{4I;aNR){hiM9sSp=IY6jn>xsG4z(v`i!+;;1bT=lVUa7o$fOjg}+PpgP`wc|ryFBs`qU(vvYJ)LyGNd}z zZ@t7!EMjyBS!I3*xPN7n#UGq%w}6$|+;GXeO&;Sjyz!W+V2wwD%DmPC0r4s$dNL0L zqUGGa10jKH5VwNAC~KCy(j~9#1MJnD6KMxTeh10tRa50XN=+If2O#&%TKN6CsB%R_ z)o076WKop>kSh+mNVoR6pC4GN>DP|x0Iaa3Q)n9E;a5#O=MV7cqE;zy$XVI!y2{Yg ztr7Ytw?uz}*;@POS%+oWYdN*$xk?5a^wQBDXG6|#9(rsibvuC1_^F0~R(1g6xip{e z59o!?Q{!^=cc0TtKX7%qP#%3;v=A#IXo-`w$)DYJ&7!@(uzg7ixA1eQX+IS;4LzHT z>3K@ozIzhC@85Swt~!JzE^g>EO|7vd{2 zs!;GM-qcQ+_%aQK2LKw=F-rOozK^1($Ecp^iz9z-3x)d%8Gb^6d(s5{-(bAYq32}D zzth8L?Du=mkVd0tgE}CxM&+aF`lJuO2tp~m6zcV_k=4|PYMmv1%|;9F?!DT6n7lSN z0eCjXxAPI7732{9dU#fLeQ2oWhdL_3PTHpaVZfcw&!d&remqt33-#xs~C}L3*D)0;Ya^`AE>(#!?T!ctT;WWU$5qkcB3u zPLW3QqwwDZlW%7e4u0BBPwk9Ms6N}T}+kl}wrk+iUvXJDecCyqw0?b~z@kkJwS zX-?8yS9XG&J-G$7Mn#a(1B7v}tzp}zdjR$QmYL-D+h8qEXJ0a{ z9||?RPjf4kjQOT!FxdyQe)7KP+33sR80NNQhm)3bWH-1vvM-U5hlc)I5scn8q$xoh z?}H9d!qhh*HS**N0JPX?Thw{t^F@Ggx`a{X8Y-TI6EqjQVMm0q{{sM;zLddj% z9~M=gk=OkLo(5AQwyvM&dBDU_no(EM`Lk^WS1*wTpIrbUR>eMcx79B>Zp(n9n4Z=dG<>5%v(3u60!hd9umV`kjGzYP z+V3*&;rF|;cJibXI&}!Za04zL;OY69H4yY!?V$W7G4W0*1 z73w#lvkn$l0894?Zf!DH5@4gJ=fB@wLuEEfST5CB3>9(s4;p|SUq2P8tYM20JTKmy zC9SOm;WVPUMr%h>0N7(L=>siX;7I)2VV(NoVnOTJvTYYVW_#odGUmMl`V4UwvtGy3 zeagTF_a+FFN81g9sotOnTccn4EMs67mD$XsBl2Ga8l7bl_g`Ch>Sb8?+b?0{@pym+ zwclLZy}s{xXgx-aj>( zMdJAP6M*7M?o7mzC%^9x&w=bV5ya=iM}X5fX6chS4K>X$KX9TIZW#h`>eM6{$rY{I zwtk?3a3U5pPIpLy-39_>oVvD$M38`g$MXO|3`KF|jd2|XCi$eQa1B$btzoBaZ>%-R z3rDc=V@>fo*scNCIx0$clfl*n=WXF|ZSy)@J^)-Iwx1)DU5y5;?$N{EbL0bO`@{v~ zC1j+N5y(^t4vF)t$@=GJ@Ok~ciyXw=u<^pnIz#Qp$Y5imgJ%|(c2456f+`?S_qo}# zYh%+xqZ=9$kM%zd*wQT`B(#n#O#sD&h`Kc@LTKtq-~}?)%lOs&f`$H=svry1hls#- zo>SvmZUQ~a8GFbv-| z+Vq!^q(wHI{>8W_QtLyP!OHl9xJl?C69Vw%JMiG*`f=X^KDQk^%uhN2Hbg}-#A|F{ zN7Rk*`Br*6vZiwiaL*>O*MA+^P;ma^dm&qh_`OCjaE~3@o@8b~O{1a(8@=EYOg@II za4NMo@u%01`v$=A2l_m?x)Fv`V+x|klu37e?fM{OZN|Pts}hg+B(PZX)eWhTI!Sy( z<}R#lPv%o@;`99~0Mg3-iTi6rgn+y}!sa1~hyZBHSMJ4=xjPO0HxNa$);Gx9<0U9` z9S;<)VB0>wx|VcF{k!3KY1lcrB;i|q;(?uk?!o`dH*J9G?)&uoY?Ik=&HOH* ztvGG{K;wbA2n|i{A-$if4{Iq(c3tP$w`G7?y{3;QWBxth=}d7=OzWRt0StIA#Xd{s z>E&`}vH& z*0R@nF2DQlS-|<8|ez%j>Du96|IA`zAbDH=e)ixK&EZgCick5LjzU^{smV_fOiMY02(465(8z zkEvXce_kDj2HBE-@R_Ldp_w9|O1zr#15XWOx((KfPduJA&3#POn z5!`c#m}W3R78j6ZWkxqe7F$d+-q_+eO_og#$>Gd{bga@U1WKB`zYdjk zPRsrv8yo99+Ww+FQ_d3BFSx(?lK{tG67(m;*muJ<4m~m({A{!87fOlFLLXN;Za75C zsTU&AANRfgj2c)Oo>rP!DxrUWhQ2eIc~n}omC(@$FMVoY3W{G4Y|w1*C!c5O;q}d$ zhv(fE{bPTHn!Rp z(z4*%)xXlxG7s}Kd6zHOBIs0Hka49v++%2ZV4$MZV2TBa;E02`>EHCUP0`uGV|nDt zgznZGkd__p$#mdjPsAEZ-2K$+xu9{?j_NVFoGYZGJvMXpREjC(0T%4H9dn(@hfz z_LV+L-+hq%XR*tj4dg$Ua=`AElm;rFyAO)T`D$lUi3nCj;4F6jC4D(L7XFW*Vtk^7 z-2JmI9!7VKWrL(MQ0Rc*KD%_#k*4}dNZ)6by_C{=+Cy5-a+>6ZPnUtE3!|nN8K+3$ z)g)ZeH*GWIgJapDyX6a0a%5y-y~a=)iSR9WknS%Yb-cl8BadXT92n=qApP` z6^YV8wD-)cj#7UgsDJIvdrxVO%?BY&k9MJai1-)w(y(!Rb$PWsm}H#2gIMFqCmbts zrpBjnt7Y0tQ$1$)uZ_<%PQ>dJYdORRYJBiGTk`Zu*I5J_t`O6a2-kJR6K-;DBeX*MpavhB_%^`P*v4VEf=LSBgrl#4?nL@)??(ywjyostd|q>`z;W-H<9D6_^}%JzSut#jSBl z3-j2_B#=F7fO~lzu)`Tywl4Xcy>Ct9D6!Qdc>bCwmm(R*U!)K*RMdO|A2fL}7VC%u z!pe+_x>nT)uQ&9Mb_$|V&v54MrxW2uIuVkas#Va#QJL*hbmY)5a1`3B0a1JNea|R1 z$SFf1wg&bfd+PR}1*a-RFYAWISbLxbEL)HFw-xVryVdp@4>?+7K5PyTn%fMpKb zR>;Y8e5!cO`-j=zyvPx$C9HY(GY7TqgMa+WeT7&*11S!etbN;o8f3LvkH~P3=;(z< zT=EC&e2Y54G;f#U5dWcpe*LtF(E}lp3XSs0Glmu=Cz*at#o`U#sFLs9I(`pz;*OCI zss)`5W92igRRAaoy7n67zb62L{Y(o`zSNHdv|~#=a{djkY-OxvT!BHTyuFk*2p1V< z<9+4j>t=Vp~j3VCmKKDvcb+j6JX|ETQ zbqEI=wE#`3bS*6+^ev#1&T~l_)-`}Z+upWSMQ*NG0@fUxM${v$l}Mfg89I2_vgSQB zYk5Q9Bg?%2C>RM##6pj-?!4?;_plQKowZ39EIZOK9^Srkh;#+7;Z&-UEy#5r$eia! zzQM6V9qF45EvP`(d3XOqee8T~Y^-IxUz{R}y~3f^c@*>I_7ve$V%ejJ!CcXh zx^n%Ydu~eyn}G;gE74OyMfO)A1J8Ea^%Cc%t(}!JVAau3G@KrXT@9?&BgeA3oOo~9 z5@vsF$%Y|d9FLcL7!ah5E%-a~vrQy7ez&qvI*D)cXpPC|u6J+tb|~qmFb?AwRnY)8 z$ymy3w`f)(pvld7IJnKE0mDrWm#mdc{e(DF&%DHvDOH`W!{dZt=cvL5+#WZrcWpW! z%^Fa~-uON=EhV6GS?X4aoyVwiaDn3dI9335@oUU`>!`qe$}T3CbR-CxT9Z%4(gfP9 zV5`~@Te5uUY1)T7UtePYW3H`c*p`%kuV$O0gGZ0Zsw3lvGL)MC5^g#0(l2t%)eL0=7ArbI@b3K9Pj7iA z0Pnm^E4abmJIUPF`s2u>a_bM0geRSUAeyDRe5bz`+6>{~$3-pJs7*V_ei$UvjAeZ@ z+6E60o{z&7EkH^sY~P7i<!@DF7@W5x>HEPb}xRB<{2_#IP zAH9zz;WQIHEES!* z+jSeb2ExxLxpmx>zIBY8u|Ji&<1KgMTLJ@X{YIJoOQYnGnCCw*g~p2|1H`rpQTx-v zk5sQrZ7!?N-n(vT&sbfpXh*0=YM8*I#7eznVCP^y@Q3AW4Y%z_mhn*axmO?@oPljI zjf6&j=%q3GB6yN=oOHaau+f3psD2tjg2)$w99fpmj$1pcW==w@vQ}(q)^IOSyedSY z!+xPy7&j&MC6Hed-rv5dq%^w)F97 z+r55!ZpGFg$2tGjOX}Bd4tF097f#m>(dFS(!k(--IcqQrAKrK&pnDnw$c(QOi~}ZycW$k{(ekBC z7GschYqam#PJa(HcJNHOm^G~ED@ooD+{@^l#;C|$$M+$^nOVUEoDlkH)}DDIYX;%r zdjFXlYLt;YCyhx?9(`35M|v)Mp#itkkrz~R)=tf8yegmSTZvyUq;?iQ8m{w9}1 z*7X^`)$UVlDDq56@LHT&KjPAbpj&J13U@7H`<^Ysrah0jJ;Dg-Xdf_!(Ps>IM%}tw zm$}VPa=U4&^4wFdSwoaLm<1!ecz%>KZG`EIcS!VKS%js^*eEwrGEHBPg^oBM&CPU9 zCr^VI|GnHtH-(GeeVd=i>u{o=n<%%I6h68sB4GY)YD$lS&x3M~h~3+1<)APAoDibb lKRNWL$dMZHf38Erk)D!beepcoDU_YF{{b3^((wQQ literal 0 HcmV?d00001 diff --git a/img/single_patch_antenna.png b/img/single_patch_antenna.png new file mode 100644 index 0000000000000000000000000000000000000000..1c1c2b7639c7265fc78e38b64ed7e82e113ed44f GIT binary patch literal 8777 zcmeHtXH=BS)@B3ku>lnjK}mujf}}=3aug8BIVhpYvB@+U8t@2;1POv7|tXZd7z254o+V8H~RkiDR_U46#n!;rgS`r8Z za#`__oECVlLLda8u-`z*8|#<~ewf z%kc)C+tcNjalU?%5}1uid;r8tn)2f&7?U~+RS14V09RR{+t!ytqNS0O~8L;(IEVRjJcA7u#S z4tPQ!M6scei{N<`d^Iu&|JAyhN%Y@kg3$AhGTO3=ir}ej;bvv!~st~3{+J_Eu0;B%q*SFt$4g0UCu=y;@+a5=xF6(#^mjYbaEH)s=*}d>}JIz$ivIS%PdL4#Ka`-W@#;|CHL?zaqvrm+1A6uMHCMA^77*G z;^%R8vw`0e5fOp&^1=D|xIqtYcONGYGjDDuca}e2^55@~vvRj^vvcvVb9Q1nf3KOj zGs;7PnfYANzdnDC)5_cK-vrVU{x?QNq!Mt@jul3N6Wtl`lqC>yOo=)vm+4nko@{XN_;;0mYx$ex`4mLe-RyuivvV6t-V=xaN8Mlj#o^}${+q%7T+Kgf!E#EH zh{ON2H6%%rv)8&H5Qa5HIT;;qg0(c#a$PH`&e3OnK2OQX2<}m6$mnbav)>`UOJbhI zmuVp%Et;U9TZFI?jY=0PLRdl{1bT@=x;!-YSuweEx&LoWrq3ZE_v5*Y zoDT1n{n7t=Uqh%T5Cp%wV@x^7$9NRzp$R-=THlijAr6H|g4E+@r3QJSn1g~R#?BI@MZQ?eZ0V!gp!<;3L1HqQw} zqHgfY<0iv8rwjP(fr|u*`{f)7vSboE9GslF&bVgRJgMW&w*I`ePDZrxFwBcJ6XTZf72LgaMA{n~)Vw_!QPjh=2h0}9HcrN+7Fv(rlNU$fpVdg%ds2gdM}nv8S_zwYm0j64#)JLDMp{Da%yw90*n#mqm!2JmhBGk)qi z1y8K|(itYI0|v6>E3JEy`%CvTCi2R*d&S_@YvWaH$d#N|BQ@e%pINp}HqZz`A=ea9YUv%Zr>@4syCL#caFFF)RRAT5)d|WTVga zkEvKzua6`|iVprKv0M?+2|6=1bXM{j@M& zhP&8|HFfm|x+GuZ+Bl z1KSra9v3mPL2K@#(NNS9?h5P@nzZ_qPufD}bvxHDZFLD&?L3v3Lhbxeo2;W8#g@_p zqsx{ND>8FVI}uNa2HP3tI-?Vn;TVDAAv$o-`s8SLYfu^fY-;(PN)KFh zNIYuoghgYJA30w%Q@s4Z>tvxdS<0Mx+(nT-=JOur2Wy3IHsVSD2KmbM+dJu=t78@4 z73M2F3k z&;L$L8S)6lm|G3yqeAlOoGd(`+K||vqFhfRN5-moqD~&`_C%f@zQXb}avdWbJZE^_ z#$kd<;iCw&@s5L?iYRNLrS>TCgMd`oyJUp9l&kCSVkdvKZ|o*09C&N05K_J7mM>~P zcq_bS=P`HNBk_fKHI-Pf?t3w zmb8>wPgdK-aT&cY54xagN6a)<{i(c6h#;W3)Zx=EO=);y=Pqzq}zV+{?!z!sBTjXi0pPQIp9S@(ns`ZzNYKqsYL==FpMj5$jY zZ7;)5n=5;7XzxWsLZ+nx>5YRv;7<4IHWz~Cc`%8?__2Af^f-LsC}@7i$X237-j5&~ zD8o^4s7O*}X`Kl|4bgfABTuDI$xN~Qed3hRVziD*BJ1+#uj>EcQMI4I~eZE7CZeKNff z$i|l8UuhJ0xNxDwPDwdPc^23pOga?UE_9QImhdmD{8RJ)jWrs0gXx^!%RG#tr!f)p zTxCZN1&z=-H{IJ2u^(c$d(`5L+0|PewTPC`b0(waF=9^igRCW z=#0_5=`&BES;6Qv<%$=#M*IfzMEpL6?k8UytH}0PpAz|`t*PnyVXk3s!ojLL{;oVj znDT7aY)%!CylHzlRi*uKk!T~X0ae@t08^z|TWE-Ia9eC}i%qNt)<3!kI%zkW~U5F6eBXM5103oB&o2VhpR!ohc@QpKX6; z&XUP4aE98Y%}4eFFSyc-!tYctxBPa6o?YRlkEQ?Ax7MdtW94SQJY_jywQuKzOK(H7 zs*0}U?H6bsfa!%#Ysvy-RPCbs+<5tcs#84+L(FUY}y)9&O7_YBI-q7;C%)) zlgi$72{9G=rEx9nP@%R%a{i3kX&AYxTkd*J2Z7PmQOL(UZbFua5ziT#m-13954RSw z%!mCRrj?7Xmbcw*D2up!hS0oM9GUQ%Q$JMU0f1uH0&ZvT*WnGBe>q6G|Lo=NMiat3 z(N!ORC0%_F7{y2TC#c!_pXrooskFSN(#NU0!5429Y#-*U3EX#{5&x8FvpnhCVmuRw zUwiL}4*6Pz*6|2gUO}8SASY|N?d|);LLA8juZX^aX5nQpImn@cO$C9MXF`0K3JWA3JbQ5f^rafi`_O-EX~qFi(|kpeu**?4Z+af7+|ldLVgj{#TbT z@=e+8Nj8-?KEI!CJto9(Ho-t_|5U!$DB zV@#{ZSp&#jUecE&ew#AEfZwwdd-RP_y54HEJ#skLPKFA{M$fee#`;RbMwcjP9A}zD ziaIu?8&ITuuXg#2U#6eL?blS8g_DG+5|Dn~x|4~8t!#5ATV87rmU@!y4;Td&aFuz) z*-_$R7L41sL;P?)E-oymXk}dT5XL^-dLe=WNx&{}cq?;10pOhg*a2{XQ~|8m{pNiM zk=f@gv8qWU6v(^-8gU0g-xu$y+FMT6oZBiNrfH7YlpKAw*;yR$d&l29fq!QVsU%(i%=^`R)d1(Z_OztDgpGhI zH{C2Qx3W@;r+)sb9q@6LNxn*i!-aX`H{4-E55HAndEx-u_pY1ijG`0bnaLaE1+r#S z!uE{N9TU|4`gDaZ7_8;|=a^rDuR}r1>GE8MCZ37c@-z7o2mq81j+^(E;vsr{)3Dm~ zOkQPmreuFmhmp%$l_G#Po?TjcOHIh3l}6(0K7(}7E9}9s0gQT{jxkevyB7uC zJgwQD&S>Il)K_zG@uqs+le7FujMm>DLsnwXO{F?9GD+XI162}IHX7IB*n%th5>iDL z-L7*)9T8=-#0Oy8vbkq2Q+|sbbJ=p4W&|e+{!NB{p{7tpAG?JpkQclL;RdS9VoVx=z<(Yt$mOYL@chg`H`9BLnYn!=X8T+RFiNbSh}lOd zjfh)L1f5Xnyam7M8r1uWp;(H_9+ydz!NW*eR)DNX=FafAvjo{IB02NT0D~!(!TyI>#LUle{l3`AI_E?{*p#v#*5C*n$I4~SvkRT{?h!h=6?`1# z#-1AugDOGH-x3;QF9^OuDDf?n)XbCbB8B@5k(|ru# z!5rh+8*E0BMI$x$lld*16(f_?VdOS*&t(Qtftz)YtE}r^P_q4KK&?6ja=oqG6Crl5dx%j3h+|5^9b}*dPaOV2C&@v zt~j=zAafy$U&_z8d1O%MWL)YvS^M@KNO{!X)y|vW+HbFS?~@Rc4E*sWsdZ1k}Ty7n6xxkFVBc zc+L2@;)`^P-M;3jzN~{|b_U1RLC`XKvSmAM<9E+##Lu-i{;IhNl_{Az|i{i@faCZtzlKv8!Y#G*>~ z7YAfPxR<4?c`i+d58zq;cEnjLKr$3`Y#EVvRz&Gis~tcTwdQ95gP7-~fNJD8UlW^6 zWL%%`_C7X?e;|H~CCC&DXS*P=JcDVRhd*m;KDH{`S)Udgx(<>8s>uSx(H6-7a5eNZ zb2Mlzb+Kh!N;w+)0nl6iyv^%ez=Ym%qj4OE$_pB3knsB0eP_B~o>I(f{nFa8wh7c8 z&8u$`*syQ?={d!{rzuViid*|hfNHf<0me*+0BMp~9bGFhLJjNkp-+!pR01nG?SEjVVDar~0&1V2_9-6S86xf=1QE&h zbSopSRg1cujd?Zv!WlAMIW}pD6WX%i%TY#KS({B#-cl1o>zD$fOgp z$3 zXSL_r6L1P5>HStKP&}$bSZm|t0?(S0e9fQIt6apuy Date: Fri, 30 May 2025 16:14:36 -0400 Subject: [PATCH 2/9] formatted --- Autograd28RFPatchAntenna.ipynb | 115 +++++++++++++++++++++------------ 1 file changed, 75 insertions(+), 40 deletions(-) diff --git a/Autograd28RFPatchAntenna.ipynb b/Autograd28RFPatchAntenna.ipynb index acc602f3..f26c1d99 100644 --- a/Autograd28RFPatchAntenna.ipynb +++ b/Autograd28RFPatchAntenna.ipynb @@ -43,6 +43,7 @@ "source": [ "# Tidy3d import and set logging level\n", "import tidy3d as td\n", + "\n", "td.config.logging_level = \"ERROR\"\n", "\n", "print(td.__version__)\n", @@ -62,6 +63,7 @@ "import matplotlib.patches as patches\n", "from rich.console import Console\n", "from rich.text import Text\n", + "\n", "console = Console()\n", "\n", "print_decimal_places = 2\n", @@ -375,9 +377,7 @@ "metadata": {}, "outputs": [], "source": [ - "def evaluate_antenna(\n", - " patch_boxes, eval_s_params_freqs, opt_freqs, sub_x_bounds, sub_y_bounds\n", - "):\n", + "def evaluate_antenna(patch_boxes, eval_s_params_freqs, opt_freqs, sub_x_bounds, sub_y_bounds):\n", " \"\"\"\n", " Evaluate the S11 parameter and directivity for the given antenna geometry.\n", " The S11 is calculated across a broad spectrum while the directivity is only computed for the opt_freqs.\n", @@ -452,7 +452,7 @@ " theta,\n", " sim_names=None,\n", " single_color_directivity_plots=False,\n", - " savefig_fname=None\n", + " savefig_fname=None,\n", "):\n", " \"\"\"\n", " Plots a comparison of two sets of simulation data.\n", @@ -510,10 +510,9 @@ " alpha=current_alpha,\n", " label=rf\"$|S_{{11}}|$ ({sim_label_name})\",\n", " ) # Label for legend\n", - " \n", - " \n", + "\n", " for opt_freq in opt_freqs:\n", - " ax_s11.axvline(x=opt_freq / 1e9, color='k', linestyle='--')\n", + " ax_s11.axvline(x=opt_freq / 1e9, color=\"k\", linestyle=\"--\")\n", "\n", " ax_s11.set_ylim(-25, 2) # Common Y-axis limit\n", " ax_s11.grid(True)\n", @@ -573,7 +572,7 @@ "\n", " if savefig_fname:\n", " plt.savefig(savefig_fname)\n", - " \n", + "\n", " plt.show()" ] }, @@ -590,7 +589,9 @@ "metadata": {}, "outputs": [], "source": [ - "def plot_optimization_results(figure_of_merit, feed_rect, init_rectangles, final_rectangles, savefig_fname=None):\n", + "def plot_optimization_results(\n", + " figure_of_merit, feed_rect, init_rectangles, final_rectangles, savefig_fname=None\n", + "):\n", " \"\"\"\n", " Plots a main rectangle and two lists of other rectangles with specified styles.\n", "\n", @@ -711,7 +712,7 @@ "\n", " if savefig_fname:\n", " plt.savefig(savefig_fname)\n", - " \n", + "\n", " plt.show()" ] }, @@ -775,7 +776,7 @@ " # combined together with a difference where we want to increase the radiated flux and decrease\n", " # the reflected flux.\n", " #\n", - " small_flux = 100 # small value of flux for the given geometry and frequency range\n", + " small_flux = 100 # small value of flux for the given geometry and frequency range\n", " get_feed_flux_by_frequency = np.abs(feed_fields.flux.values)\n", " # merit function for reflected frequency to use with performance weighting that\n", " # is high when a given frequency has low reflected flux\n", @@ -805,7 +806,7 @@ " feed_avg = np.sum(feed_weights * get_feed_flux_by_frequency)\n", " radiation_avg = np.sum(radiation_weights * get_radiation_flux_by_frequency)\n", "\n", - " return radiation_avg - feed_avg # combine figures of merit with difference and return" + " return radiation_avg - feed_avg # combine figures of merit with difference and return" ] }, { @@ -966,6 +967,7 @@ " )\n", " ]\n", "\n", + "\n", "# set an initial width and height for the patch\n", "patch_init_width = 12.45 * mm\n", "patch_init_height = 16 * mm\n", @@ -1082,7 +1084,7 @@ } ], "source": [ - "# location of field monitor for computing the radiated flux \n", + "# location of field monitor for computing the radiated flux\n", "compute_radiation_z = wavelength0\n", "\n", "# set up the single patch radiation monitor sizes\n", @@ -1152,10 +1154,16 @@ "\n", " if (step_idx % print_iteration_frequency) == 0:\n", " output_text = Text.assemble(\n", - " (f\"Iteration {step_idx + 1}\", \"bold cyan\"), \"\\n\",\n", - " (f\"\\tGradient (width, height): \", \"\"), (f\"{g[0]}, {g[1]}\", \"magenta\"), \"\\n\",\n", - " (f\"\\tParams (width, height): \", \"\"), (f\"{patch_wh[0]}, {patch_wh[1]}\", \"blue\"), \"\\n\",\n", - " (f\"\\tFigure of merit: \", \"bold\"), (f\"{f:.{print_decimal_places}f}\", \"bold green\")\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", + " \"\\n\",\n", + " (f\"\\tGradient (width, height): \", \"\"),\n", + " (f\"{g[0]}, {g[1]}\", \"magenta\"),\n", + " \"\\n\",\n", + " (f\"\\tParams (width, height): \", \"\"),\n", + " (f\"{patch_wh[0]}, {patch_wh[1]}\", \"blue\"),\n", + " \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"),\n", + " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", " )\n", " console.print(output_text)\n", "\n", @@ -1525,16 +1533,20 @@ "num_passive_radiators = 3\n", "\n", "# set min/max patch dimensions for the central and all surrounding patches\n", - "min_patch_dimensions_mm = sum([[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], [])\n", - "max_patch_dimensions_mm = sum([[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], [])\n", + "min_patch_dimensions_mm = sum(\n", + " [[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], []\n", + ")\n", + "max_patch_dimensions_mm = sum(\n", + " [[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], []\n", + ")\n", "\n", "# set min/max gap between central patch and each surrounding patch\n", - "min_gap_mm = [1*mm for idx in range(0, num_passive_radiators)]\n", - "max_gap_mm = [5*mm for idx in range(0, num_passive_radiators)]\n", + "min_gap_mm = [1 * mm for idx in range(0, num_passive_radiators)]\n", + "max_gap_mm = [5 * mm for idx in range(0, num_passive_radiators)]\n", "\n", "# set min/max offset of each surrounding patch center relative to the central patch center\n", - "min_offset_mm = [-8*mm for idx in range(0, num_passive_radiators)]\n", - "max_offset_mm = [8*mm for idx in range(0, num_passive_radiators)]\n", + "min_offset_mm = [-8 * mm for idx in range(0, num_passive_radiators)]\n", + "max_offset_mm = [8 * mm for idx in range(0, num_passive_radiators)]\n", "\n", "# combine all the min/max values into clipping arrays to use in the optimization\n", "clip_min_values = min_patch_dimensions_mm + min_gap_mm + min_offset_mm\n", @@ -1562,7 +1574,10 @@ "init_params += init_gap_sizes\n", "init_params += init_offset_coord_locations\n", "\n", - "assert num_passive_radiators == 3, \"The multi patch optimization is set up specifically for 3 passive radiators.\"\n", + "assert (\n", + " num_passive_radiators == 3\n", + "), \"The multi patch optimization is set up specifically for 3 passive radiators.\"\n", + "\n", "\n", "def params_to_boxes_multi_patch(params):\n", " \"\"\"\n", @@ -1577,14 +1592,16 @@ "\n", " wh_passive = []\n", " for idx in range(0, num_passive_radiators):\n", - " wh_passive.append(wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)])\n", - " \n", - " gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators:]\n", - " gaps = gap_params[0 : num_passive_radiators]\n", + " wh_passive.append(\n", + " wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)]\n", + " )\n", + "\n", + " gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators :]\n", + " gaps = gap_params[0:num_passive_radiators]\n", "\n", " offset_params = gap_params[num_passive_radiators:]\n", " offset_coords = offset_params[0:num_passive_radiators]\n", - " \n", + "\n", " left_central = -0.5 * wh_central[0]\n", " right_central = 0.5 * wh_central[0]\n", "\n", @@ -1594,36 +1611,52 @@ "\n", " left_passive_right = left_central - gaps[left_passive_patch_idx]\n", " left_passive_left = left_passive_right - wh_passive[left_passive_patch_idx][0]\n", - " left_passive_bottom = offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n", - " left_passive_top = offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n", + " left_passive_bottom = (\n", + " offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n", + " )\n", + " left_passive_top = (\n", + " offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n", + " )\n", "\n", " top_passive_bottom = wh_central[1] + gaps[top_passive_patch_idx]\n", " top_passive_top = top_passive_bottom + wh_passive[top_passive_patch_idx][1]\n", - " top_passive_left = offset_coords[top_passive_patch_idx] - 0.5 * wh_passive[top_passive_patch_idx][0]\n", - " top_passive_right = offset_coords[top_passive_patch_idx] + 0.5 * wh_passive[top_passive_patch_idx][0]\n", + " top_passive_left = (\n", + " offset_coords[top_passive_patch_idx] - 0.5 * wh_passive[top_passive_patch_idx][0]\n", + " )\n", + " top_passive_right = (\n", + " offset_coords[top_passive_patch_idx] + 0.5 * wh_passive[top_passive_patch_idx][0]\n", + " )\n", "\n", " right_passive_left = right_central + gaps[right_passive_patch_idx]\n", " right_passive_right = right_passive_left + wh_passive[right_passive_patch_idx][0]\n", - " right_passive_bottom = offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n", - " right_passive_top = offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n", + " right_passive_bottom = (\n", + " offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n", + " )\n", + " right_passive_top = (\n", + " offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n", + " )\n", "\n", " boxes = [\n", " td.Box.from_bounds(\n", " [-0.5 * wh_central[0], 0, sub_z / 2], [0.5 * wh_central[0], wh_central[1], sub_z / 2]\n", " ),\n", " td.Box.from_bounds(\n", - " [left_passive_left, left_passive_bottom, sub_z / 2], [left_passive_right, left_passive_top, sub_z / 2]\n", + " [left_passive_left, left_passive_bottom, sub_z / 2],\n", + " [left_passive_right, left_passive_top, sub_z / 2],\n", " ),\n", " td.Box.from_bounds(\n", - " [top_passive_left, top_passive_bottom, sub_z / 2], [top_passive_right, top_passive_top, sub_z / 2]\n", + " [top_passive_left, top_passive_bottom, sub_z / 2],\n", + " [top_passive_right, top_passive_top, sub_z / 2],\n", " ),\n", " td.Box.from_bounds(\n", - " [right_passive_left, right_passive_bottom, sub_z / 2], [right_passive_right, right_passive_top, sub_z / 2]\n", + " [right_passive_left, right_passive_bottom, sub_z / 2],\n", + " [right_passive_right, right_passive_top, sub_z / 2],\n", " ),\n", " ]\n", "\n", " return boxes\n", "\n", + "\n", "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", "plot_structures_and_mesh(\n", " params_to_boxes_multi_patch(init_params), sub_x_multi_patch, sub_y_multi_patch\n", @@ -1773,8 +1806,10 @@ " if (step_idx % print_iteration_frequency) == 0:\n", " # We don't print all of the optimization parameters below to reduce clutter\n", " output_text = Text.assemble(\n", - " (f\"Iteration {step_idx + 1}\", \"bold cyan\"), \"\\n\",\n", - " (f\"\\tFigure of merit: \", \"bold\"), (f\"{f:.{print_decimal_places}f}\", \"bold green\")\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", + " \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"),\n", + " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", " )\n", " console.print(output_text)\n", "\n", From ea6bcab03620fd76492725d524a6cb96a41815fc Mon Sep 17 00:00:00 2001 From: Gregory Roberts Date: Mon, 2 Jun 2025 07:38:22 -0400 Subject: [PATCH 3/9] update notebook with all cells run --- Autograd28RFPatchAntenna.ipynb | 483 ++++++++++++++++++++++----------- 1 file changed, 328 insertions(+), 155 deletions(-) diff --git a/Autograd28RFPatchAntenna.ipynb b/Autograd28RFPatchAntenna.ipynb index f26c1d99..54d3594d 100644 --- a/Autograd28RFPatchAntenna.ipynb +++ b/Autograd28RFPatchAntenna.ipynb @@ -43,7 +43,6 @@ "source": [ "# Tidy3d import and set logging level\n", "import tidy3d as td\n", - "\n", "td.config.logging_level = \"ERROR\"\n", "\n", "print(td.__version__)\n", @@ -63,7 +62,6 @@ "import matplotlib.patches as patches\n", "from rich.console import Console\n", "from rich.text import Text\n", - "\n", "console = Console()\n", "\n", "print_decimal_places = 2\n", @@ -377,7 +375,9 @@ "metadata": {}, "outputs": [], "source": [ - "def evaluate_antenna(patch_boxes, eval_s_params_freqs, opt_freqs, sub_x_bounds, sub_y_bounds):\n", + "def evaluate_antenna(\n", + " patch_boxes, eval_s_params_freqs, opt_freqs, sub_x_bounds, sub_y_bounds\n", + "):\n", " \"\"\"\n", " Evaluate the S11 parameter and directivity for the given antenna geometry.\n", " The S11 is calculated across a broad spectrum while the directivity is only computed for the opt_freqs.\n", @@ -452,7 +452,7 @@ " theta,\n", " sim_names=None,\n", " single_color_directivity_plots=False,\n", - " savefig_fname=None,\n", + " savefig_fname=None\n", "):\n", " \"\"\"\n", " Plots a comparison of two sets of simulation data.\n", @@ -510,9 +510,10 @@ " alpha=current_alpha,\n", " label=rf\"$|S_{{11}}|$ ({sim_label_name})\",\n", " ) # Label for legend\n", - "\n", + " \n", + " \n", " for opt_freq in opt_freqs:\n", - " ax_s11.axvline(x=opt_freq / 1e9, color=\"k\", linestyle=\"--\")\n", + " ax_s11.axvline(x=opt_freq / 1e9, color='k', linestyle='--')\n", "\n", " ax_s11.set_ylim(-25, 2) # Common Y-axis limit\n", " ax_s11.grid(True)\n", @@ -572,7 +573,7 @@ "\n", " if savefig_fname:\n", " plt.savefig(savefig_fname)\n", - "\n", + " \n", " plt.show()" ] }, @@ -589,9 +590,7 @@ "metadata": {}, "outputs": [], "source": [ - "def plot_optimization_results(\n", - " figure_of_merit, feed_rect, init_rectangles, final_rectangles, savefig_fname=None\n", - "):\n", + "def plot_optimization_results(figure_of_merit, feed_rect, init_rectangles, final_rectangles, savefig_fname=None):\n", " \"\"\"\n", " Plots a main rectangle and two lists of other rectangles with specified styles.\n", "\n", @@ -712,7 +711,7 @@ "\n", " if savefig_fname:\n", " plt.savefig(savefig_fname)\n", - "\n", + " \n", " plt.show()" ] }, @@ -776,7 +775,7 @@ " # combined together with a difference where we want to increase the radiated flux and decrease\n", " # the reflected flux.\n", " #\n", - " small_flux = 100 # small value of flux for the given geometry and frequency range\n", + " small_flux = 100 # small value of flux for the given geometry and frequency range\n", " get_feed_flux_by_frequency = np.abs(feed_fields.flux.values)\n", " # merit function for reflected frequency to use with performance weighting that\n", " # is high when a given frequency has low reflected flux\n", @@ -806,7 +805,7 @@ " feed_avg = np.sum(feed_weights * get_feed_flux_by_frequency)\n", " radiation_avg = np.sum(radiation_weights * get_radiation_flux_by_frequency)\n", "\n", - " return radiation_avg - feed_avg # combine figures of merit with difference and return" + " return radiation_avg - feed_avg # combine figures of merit with difference and return" ] }, { @@ -834,7 +833,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "889be42aa6ab45a09e29de0af1995fc6", + "model_id": "5b93be4491694130b05ee61bf4e9cb7f", "version_major": 2, "version_minor": 0 }, @@ -858,11 +857,11 @@ { "data": { "text/html": [ - "

15:47:08 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
16:18:05 EDT Started working on Batch containing 1 tasks.                       \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m15:47:08 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[2;36m16:18:05 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" ] }, "metadata": {}, @@ -871,11 +870,11 @@ { "data": { "text/html": [ - "
15:47:09 EDT Maximum FlexCredit cost: 0.172 for the whole batch.                \n",
+       "
16:18:06 EDT Maximum FlexCredit cost: 0.172 for the whole batch.                \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m15:47:09 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.172\u001b[0m for the whole batch. \n" + "\u001b[2;36m16:18:06 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.172\u001b[0m for the whole batch. \n" ] }, "metadata": {}, @@ -899,7 +898,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "93df200165144b26991364a43ff76372", + "model_id": "f04352b7f71e404a8bbdc39d29d5547c", "version_major": 2, "version_minor": 0 }, @@ -913,11 +912,11 @@ { "data": { "text/html": [ - "
             Batch complete.                                                    \n",
+       "
16:18:07 EDT Batch complete.                                                    \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + "\u001b[2;36m16:18:07 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" ] }, "metadata": {}, @@ -936,7 +935,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "47175e0c61d549619094a00523e101e5", + "model_id": "cd41760f72ca4187be801613e9ec7017", "version_major": 2, "version_minor": 0 }, @@ -967,7 +966,6 @@ " )\n", " ]\n", "\n", - "\n", "# set an initial width and height for the patch\n", "patch_init_width = 12.45 * mm\n", "patch_init_height = 16 * mm\n", @@ -1047,17 +1045,17 @@ { "data": { "text/html": [ - "
Iteration 2\n",
-       "        Gradient (width, height): -643.2900101484347, -175.93777550026613\n",
-       "        Params (width, height):   12351.1337890625, 15900.8828125\n",
-       "        Figure of merit:          1173338.31\n",
+       "
Iteration 3\n",
+       "        Gradient (width, height): -1153.058381456665, -219.30193227556845\n",
+       "        Params (width, height):   12301.9267578125, 15851.625\n",
+       "        Figure of merit:          1326802.74\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 2\u001b[0m\n", - " Gradient (width, height): \u001b[35m-643.2900101484347, -175.93777550026613\u001b[0m\n", - " Params (width, height): \u001b[34m12351.1337890625, 15900.8828125\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1173338.31\u001b[0m\n" + "\u001b[1;36mIteration 3\u001b[0m\n", + " Gradient (width, height): \u001b[35m-1153.058381456665, -219.30193227556845\u001b[0m\n", + " Params (width, height): \u001b[34m12301.9267578125, 15851.625\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1326802.74\u001b[0m\n" ] }, "metadata": {}, @@ -1066,17 +1064,150 @@ { "data": { "text/html": [ - "
Iteration 3\n",
-       "        Gradient (width, height): -1153.058381456665, -219.30193227556845\n",
-       "        Params (width, height):   12301.9267578125, 15851.625\n",
-       "        Figure of merit:          1326802.74\n",
+       "
Iteration 5\n",
+       "        Gradient (width, height): -1790.4863168610236, -195.8075102331877\n",
+       "        Params (width, height):   12203.2353515625, 15756.9150390625\n",
+       "        Figure of merit:          1598478.92\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 3\u001b[0m\n", - " Gradient (width, height): \u001b[35m-1153.058381456665, -219.30193227556845\u001b[0m\n", - " Params (width, height): \u001b[34m12301.9267578125, 15851.625\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1326802.74\u001b[0m\n" + "\u001b[1;36mIteration 5\u001b[0m\n", + " Gradient (width, height): \u001b[35m-1790.4863168610236, -195.8075102331877\u001b[0m\n", + " Params (width, height): \u001b[34m12203.2353515625, 15756.9150390625\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1598478.92\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 7\n",
+       "        Gradient (width, height): -2089.9169503803423, -58.89391988728954\n",
+       "        Params (width, height):   12102.900390625, 15662.4013671875\n",
+       "        Figure of merit:          1785652.09\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 7\u001b[0m\n", + " Gradient (width, height): \u001b[35m-2089.9169503803423, -58.89391988728954\u001b[0m\n", + " Params (width, height): \u001b[34m12102.900390625, 15662.4013671875\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1785652.09\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 9\n",
+       "        Gradient (width, height): -1830.0245994245734, -270.77633958699266\n",
+       "        Params (width, height):   12008.18359375, 15568.466796875\n",
+       "        Figure of merit:          2523177.21\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 9\u001b[0m\n", + " Gradient (width, height): \u001b[35m-1830.0245994245734, -270.77633958699266\u001b[0m\n", + " Params (width, height): \u001b[34m12008.18359375, 15568.466796875\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2523177.21\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 11\n",
+       "        Gradient (width, height): -3294.634269909397, -97.5352862422917\n",
+       "        Params (width, height):   11908.98828125, 15472.4560546875\n",
+       "        Figure of merit:          3168865.22\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 11\u001b[0m\n", + " Gradient (width, height): \u001b[35m-3294.634269909397, -97.5352862422917\u001b[0m\n", + " Params (width, height): \u001b[34m11908.98828125, 15472.4560546875\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3168865.22\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 13\n",
+       "        Gradient (width, height): -3553.3987097040967, -299.3641957888483\n",
+       "        Params (width, height):   11806.00390625, 15375.048828125\n",
+       "        Figure of merit:          3565352.98\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 13\u001b[0m\n", + " Gradient (width, height): \u001b[35m-3553.3987097040967, -299.3641957888483\u001b[0m\n", + " Params (width, height): \u001b[34m11806.00390625, 15375.048828125\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3565352.98\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 15\n",
+       "        Gradient (width, height): -851.0404132602614, -95.15302156597363\n",
+       "        Params (width, height):   11703.5166015625, 15283.623046875\n",
+       "        Figure of merit:          4272270.33\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 15\u001b[0m\n", + " Gradient (width, height): \u001b[35m-851.0404132602614, -95.15302156597363\u001b[0m\n", + " Params (width, height): \u001b[34m11703.5166015625, 15283.623046875\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4272270.33\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 17\n",
+       "        Gradient (width, height): 207.1802794145596, -22.63233183134691\n",
+       "        Params (width, height):   11614.8603515625, 15200.984375\n",
+       "        Figure of merit:          4496032.65\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 17\u001b[0m\n", + " Gradient (width, height): \u001b[35m207.1802794145596, -22.63233183134691\u001b[0m\n", + " Params (width, height): \u001b[34m11614.8603515625, 15200.984375\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4496032.65\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 19\n",
+       "        Gradient (width, height): 1483.6376330496842, 11.387023783200448\n",
+       "        Params (width, height):   11552.9384765625, 15132.0068359375\n",
+       "        Figure of merit:          4409775.06\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 19\u001b[0m\n", + " Gradient (width, height): \u001b[35m1483.6376330496842, 11.387023783200448\u001b[0m\n", + " Params (width, height): \u001b[34m11552.9384765625, 15132.0068359375\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4409775.06\u001b[0m\n" ] }, "metadata": {}, @@ -1084,7 +1215,7 @@ } ], "source": [ - "# location of field monitor for computing the radiated flux\n", + "# location of field monitor for computing the radiated flux \n", "compute_radiation_z = wavelength0\n", "\n", "# set up the single patch radiation monitor sizes\n", @@ -1154,16 +1285,10 @@ "\n", " if (step_idx % print_iteration_frequency) == 0:\n", " output_text = Text.assemble(\n", - " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", - " \"\\n\",\n", - " (f\"\\tGradient (width, height): \", \"\"),\n", - " (f\"{g[0]}, {g[1]}\", \"magenta\"),\n", - " \"\\n\",\n", - " (f\"\\tParams (width, height): \", \"\"),\n", - " (f\"{patch_wh[0]}, {patch_wh[1]}\", \"blue\"),\n", - " \"\\n\",\n", - " (f\"\\tFigure of merit: \", \"bold\"),\n", - " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"), \"\\n\",\n", + " (f\"\\tGradient (width, height): \", \"\"), (f\"{g[0]}, {g[1]}\", \"magenta\"), \"\\n\",\n", + " (f\"\\tParams (width, height): \", \"\"), (f\"{patch_wh[0]}, {patch_wh[1]}\", \"blue\"), \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"), (f\"{f:.{print_decimal_places}f}\", \"bold green\")\n", " )\n", " console.print(output_text)\n", "\n", @@ -1184,7 +1309,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1212,7 +1337,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cb7df6a3c5974cf39bdd1de9382fc873", + "model_id": "db56f731f5144cc9bf62e0dc76e9f1b6", "version_major": 2, "version_minor": 0 }, @@ -1236,11 +1361,11 @@ { "data": { "text/html": [ - "
15:48:45 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
16:32:30 EDT Started working on Batch containing 1 tasks.                       \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m15:48:45 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[2;36m16:32:30 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" ] }, "metadata": {}, @@ -1249,11 +1374,11 @@ { "data": { "text/html": [ - "
15:48:46 EDT Maximum FlexCredit cost: 0.172 for the whole batch.                \n",
+       "
16:32:31 EDT Maximum FlexCredit cost: 0.172 for the whole batch.                \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m15:48:46 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.172\u001b[0m for the whole batch. \n" + "\u001b[2;36m16:32:31 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.172\u001b[0m for the whole batch. \n" ] }, "metadata": {}, @@ -1277,7 +1402,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ba1ef51d0af849b799e8b7eaaad679cf", + "model_id": "e903dbff593e4eb3a479d3efd1eb1ebb", "version_major": 2, "version_minor": 0 }, @@ -1291,11 +1416,11 @@ { "data": { "text/html": [ - "
15:48:47 EDT Batch complete.                                                    \n",
+       "
             Batch complete.                                                    \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m15:48:47 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" ] }, "metadata": {}, @@ -1314,7 +1439,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "24fd47c6ef06439db4c7848b1b824843", + "model_id": "9b806b5076ae41189eb2e732d0d48abd", "version_major": 2, "version_minor": 0 }, @@ -1338,7 +1463,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7f7d298d1b2c46dc88274f2da0ffe0f7", + "model_id": "a15b846e67144edca373aecd0a4c92f0", "version_major": 2, "version_minor": 0 }, @@ -1362,11 +1487,11 @@ { "data": { "text/html": [ - "
15:49:28 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
16:32:43 EDT Started working on Batch containing 1 tasks.                       \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m15:49:28 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[2;36m16:32:43 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" ] }, "metadata": {}, @@ -1375,11 +1500,11 @@ { "data": { "text/html": [ - "
15:49:30 EDT Maximum FlexCredit cost: 0.172 for the whole batch.                \n",
+       "
16:32:44 EDT Maximum FlexCredit cost: 0.172 for the whole batch.                \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m15:49:30 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.172\u001b[0m for the whole batch. \n" + "\u001b[2;36m16:32:44 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.172\u001b[0m for the whole batch. \n" ] }, "metadata": {}, @@ -1403,7 +1528,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f2ae8622af104db2bef6f7302fd5d934", + "model_id": "88f7e11316da44dd9d2461d5ceca42ee", "version_major": 2, "version_minor": 0 }, @@ -1440,7 +1565,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "25c36dd27f83465d82535045b6cf3265", + "model_id": "7939c753793e4f56bd3c3afb77154b3a", "version_major": 2, "version_minor": 0 }, @@ -1463,7 +1588,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1533,20 +1658,16 @@ "num_passive_radiators = 3\n", "\n", "# set min/max patch dimensions for the central and all surrounding patches\n", - "min_patch_dimensions_mm = sum(\n", - " [[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], []\n", - ")\n", - "max_patch_dimensions_mm = sum(\n", - " [[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], []\n", - ")\n", + "min_patch_dimensions_mm = sum([[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], [])\n", + "max_patch_dimensions_mm = sum([[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], [])\n", "\n", "# set min/max gap between central patch and each surrounding patch\n", - "min_gap_mm = [1 * mm for idx in range(0, num_passive_radiators)]\n", - "max_gap_mm = [5 * mm for idx in range(0, num_passive_radiators)]\n", + "min_gap_mm = [1*mm for idx in range(0, num_passive_radiators)]\n", + "max_gap_mm = [5*mm for idx in range(0, num_passive_radiators)]\n", "\n", "# set min/max offset of each surrounding patch center relative to the central patch center\n", - "min_offset_mm = [-8 * mm for idx in range(0, num_passive_radiators)]\n", - "max_offset_mm = [8 * mm for idx in range(0, num_passive_radiators)]\n", + "min_offset_mm = [-8*mm for idx in range(0, num_passive_radiators)]\n", + "max_offset_mm = [8*mm for idx in range(0, num_passive_radiators)]\n", "\n", "# combine all the min/max values into clipping arrays to use in the optimization\n", "clip_min_values = min_patch_dimensions_mm + min_gap_mm + min_offset_mm\n", @@ -1574,10 +1695,7 @@ "init_params += init_gap_sizes\n", "init_params += init_offset_coord_locations\n", "\n", - "assert (\n", - " num_passive_radiators == 3\n", - "), \"The multi patch optimization is set up specifically for 3 passive radiators.\"\n", - "\n", + "assert num_passive_radiators == 3, \"The multi patch optimization is set up specifically for 3 passive radiators.\"\n", "\n", "def params_to_boxes_multi_patch(params):\n", " \"\"\"\n", @@ -1592,16 +1710,14 @@ "\n", " wh_passive = []\n", " for idx in range(0, num_passive_radiators):\n", - " wh_passive.append(\n", - " wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)]\n", - " )\n", - "\n", - " gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators :]\n", - " gaps = gap_params[0:num_passive_radiators]\n", + " wh_passive.append(wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)])\n", + " \n", + " gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators:]\n", + " gaps = gap_params[0 : num_passive_radiators]\n", "\n", " offset_params = gap_params[num_passive_radiators:]\n", " offset_coords = offset_params[0:num_passive_radiators]\n", - "\n", + " \n", " left_central = -0.5 * wh_central[0]\n", " right_central = 0.5 * wh_central[0]\n", "\n", @@ -1611,52 +1727,36 @@ "\n", " left_passive_right = left_central - gaps[left_passive_patch_idx]\n", " left_passive_left = left_passive_right - wh_passive[left_passive_patch_idx][0]\n", - " left_passive_bottom = (\n", - " offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n", - " )\n", - " left_passive_top = (\n", - " offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n", - " )\n", + " left_passive_bottom = offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n", + " left_passive_top = offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n", "\n", " top_passive_bottom = wh_central[1] + gaps[top_passive_patch_idx]\n", " top_passive_top = top_passive_bottom + wh_passive[top_passive_patch_idx][1]\n", - " top_passive_left = (\n", - " offset_coords[top_passive_patch_idx] - 0.5 * wh_passive[top_passive_patch_idx][0]\n", - " )\n", - " top_passive_right = (\n", - " offset_coords[top_passive_patch_idx] + 0.5 * wh_passive[top_passive_patch_idx][0]\n", - " )\n", + " top_passive_left = offset_coords[top_passive_patch_idx] - 0.5 * wh_passive[top_passive_patch_idx][0]\n", + " top_passive_right = offset_coords[top_passive_patch_idx] + 0.5 * wh_passive[top_passive_patch_idx][0]\n", "\n", " right_passive_left = right_central + gaps[right_passive_patch_idx]\n", " right_passive_right = right_passive_left + wh_passive[right_passive_patch_idx][0]\n", - " right_passive_bottom = (\n", - " offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n", - " )\n", - " right_passive_top = (\n", - " offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n", - " )\n", + " right_passive_bottom = offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n", + " right_passive_top = offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n", "\n", " boxes = [\n", " td.Box.from_bounds(\n", " [-0.5 * wh_central[0], 0, sub_z / 2], [0.5 * wh_central[0], wh_central[1], sub_z / 2]\n", " ),\n", " td.Box.from_bounds(\n", - " [left_passive_left, left_passive_bottom, sub_z / 2],\n", - " [left_passive_right, left_passive_top, sub_z / 2],\n", + " [left_passive_left, left_passive_bottom, sub_z / 2], [left_passive_right, left_passive_top, sub_z / 2]\n", " ),\n", " td.Box.from_bounds(\n", - " [top_passive_left, top_passive_bottom, sub_z / 2],\n", - " [top_passive_right, top_passive_top, sub_z / 2],\n", + " [top_passive_left, top_passive_bottom, sub_z / 2], [top_passive_right, top_passive_top, sub_z / 2]\n", " ),\n", " td.Box.from_bounds(\n", - " [right_passive_left, right_passive_bottom, sub_z / 2],\n", - " [right_passive_right, right_passive_top, sub_z / 2],\n", + " [right_passive_left, right_passive_bottom, sub_z / 2], [right_passive_right, right_passive_top, sub_z / 2]\n", " ),\n", " ]\n", "\n", " return boxes\n", "\n", - "\n", "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", "plot_structures_and_mesh(\n", " params_to_boxes_multi_patch(init_params), sub_x_multi_patch, sub_y_multi_patch\n", @@ -1665,7 +1765,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1686,13 +1786,13 @@ { "data": { "text/html": [ - "
Iteration 2\n",
-       "        Figure of merit: 463816.46\n",
+       "
Iteration 9\n",
+       "        Figure of merit: 794937.38\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 2\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m463816.46\u001b[0m\n" + "\u001b[1;36mIteration 9\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m794937.38\u001b[0m\n" ] }, "metadata": {}, @@ -1701,13 +1801,13 @@ { "data": { "text/html": [ - "
Iteration 3\n",
-       "        Figure of merit: 497960.36\n",
+       "
Iteration 17\n",
+       "        Figure of merit: 1536996.97\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 3\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m497960.36\u001b[0m\n" + "\u001b[1;36mIteration 17\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1536996.97\u001b[0m\n" ] }, "metadata": {}, @@ -1716,13 +1816,13 @@ { "data": { "text/html": [ - "
Iteration 4\n",
-       "        Figure of merit: 524246.98\n",
+       "
Iteration 25\n",
+       "        Figure of merit: 2788224.30\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 4\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m524246.98\u001b[0m\n" + "\u001b[1;36mIteration 25\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2788224.30\u001b[0m\n" ] }, "metadata": {}, @@ -1731,13 +1831,88 @@ { "data": { "text/html": [ - "
Iteration 5\n",
-       "        Figure of merit: 556470.89\n",
+       "
Iteration 33\n",
+       "        Figure of merit: 3252023.71\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 5\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m556470.89\u001b[0m\n" + "\u001b[1;36mIteration 33\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3252023.71\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 41\n",
+       "        Figure of merit: 3944422.40\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 41\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3944422.40\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 49\n",
+       "        Figure of merit: 4097312.69\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 49\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4097312.69\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 57\n",
+       "        Figure of merit: 4004314.80\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 57\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4004314.80\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 65\n",
+       "        Figure of merit: 4134752.12\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 65\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4134752.12\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 73\n",
+       "        Figure of merit: 4299824.47\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 73\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4299824.47\u001b[0m\n" ] }, "metadata": {}, @@ -1806,10 +1981,8 @@ " if (step_idx % print_iteration_frequency) == 0:\n", " # We don't print all of the optimization parameters below to reduce clutter\n", " output_text = Text.assemble(\n", - " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", - " \"\\n\",\n", - " (f\"\\tFigure of merit: \", \"bold\"),\n", - " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"), \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"), (f\"{f:.{print_decimal_places}f}\", \"bold green\")\n", " )\n", " console.print(output_text)\n", "\n", @@ -1825,12 +1998,12 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1859,13 +2032,13 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a12af15d19bf4132964b71ba923e02c9", + "model_id": "a35a11ddf9eb400c8850ea4c0d04d945", "version_major": 2, "version_minor": 0 }, @@ -1889,11 +2062,11 @@ { "data": { "text/html": [ - "
16:06:59 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
20:07:18 EDT Started working on Batch containing 1 tasks.                       \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m16:06:59 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[2;36m20:07:18 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" ] }, "metadata": {}, @@ -1902,11 +2075,11 @@ { "data": { "text/html": [ - "
16:07:00 EDT Maximum FlexCredit cost: 0.642 for the whole batch.                \n",
+       "
20:07:19 EDT Maximum FlexCredit cost: 0.642 for the whole batch.                \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m16:07:00 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.642\u001b[0m for the whole batch. \n" + "\u001b[2;36m20:07:19 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.642\u001b[0m for the whole batch. \n" ] }, "metadata": {}, @@ -1930,7 +2103,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "39557545b78d4d4a9daf46b626858ff1", + "model_id": "87181c3d19b84e2ead019a7f2d878758", "version_major": 2, "version_minor": 0 }, @@ -1944,11 +2117,11 @@ { "data": { "text/html": [ - "
             Batch complete.                                                    \n",
+       "
20:07:20 EDT Batch complete.                                                    \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + "\u001b[2;36m20:07:20 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" ] }, "metadata": {}, @@ -1967,7 +2140,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "651e541561bd43c6a1d41ab09dc4ccfb", + "model_id": "b4beca3a4c1a4342ae9eee7d4e4040ab", "version_major": 2, "version_minor": 0 }, @@ -1991,7 +2164,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "31048a9fa6bc4450acd7f82d2b65161f", + "model_id": "4b977c4619954757b88e2fba723ae5a5", "version_major": 2, "version_minor": 0 }, @@ -2015,11 +2188,11 @@ { "data": { "text/html": [ - "
16:08:43 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
20:08:58 EDT Started working on Batch containing 1 tasks.                       \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m16:08:43 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[2;36m20:08:58 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" ] }, "metadata": {}, @@ -2028,11 +2201,11 @@ { "data": { "text/html": [ - "
16:08:45 EDT Maximum FlexCredit cost: 0.642 for the whole batch.                \n",
+       "
20:08:59 EDT Maximum FlexCredit cost: 0.642 for the whole batch.                \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m16:08:45 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.642\u001b[0m for the whole batch. \n" + "\u001b[2;36m20:08:59 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.642\u001b[0m for the whole batch. \n" ] }, "metadata": {}, @@ -2056,7 +2229,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2e64ea4424a74c6d858a30881b7e5eb4", + "model_id": "cc967b6ca20b4690bccef4bdf3bec883", "version_major": 2, "version_minor": 0 }, @@ -2093,7 +2266,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f32f2310cfee4a48b0aa43397c76252a", + "model_id": "609635407c194ed081688abba862d569", "version_major": 2, "version_minor": 0 }, @@ -2116,7 +2289,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] From c87642d003860fce1205d9f1aeb09cc465b3894c Mon Sep 17 00:00:00 2001 From: Gregory Roberts Date: Thu, 3 Jul 2025 16:19:59 -0400 Subject: [PATCH 4/9] current autograd notebook --- Autograd28RFPatchAntennaS11_v3.ipynb | 6754 ++++++++++++++++++++++++++ 1 file changed, 6754 insertions(+) create mode 100644 Autograd28RFPatchAntennaS11_v3.ipynb diff --git a/Autograd28RFPatchAntennaS11_v3.ipynb b/Autograd28RFPatchAntennaS11_v3.ipynb new file mode 100644 index 00000000..86fa0257 --- /dev/null +++ b/Autograd28RFPatchAntennaS11_v3.ipynb @@ -0,0 +1,6754 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "# Adjoint Optimization of planar RF Antennas\n", + "\n", + "In the [Antenna Characteristics](https://www.flexcompute.com/tidy3d/examples/notebooks/AntennaCharacteristics/) notebook, we introduce the characterization of a rectangular patch antenna using the RF solver. If we were to design that patch antenna for a specific application, we would have two parameters to optimize: the patch width and height. By tuning these parameters, one can search for a structure that is resonant at a desired frequency and is impedance-matched to the antenna feed line. However, to overcome traditional limitations of patch antennas, many designers move beyond the two-parameter rectangular restriction and design antennas that have larger bandwidth or special characteristics, like circular polarization. For example, in the [Circularly Polarized Patch Antenna](https://www.flexcompute.com/tidy3d/examples/notebooks/CircularlyPolarizedPatchAntenna/) notebook, we reproduce a patch antenna simulation from the literature that achieves a low-profile design of circularly polarized radiation via a non-rectangular radiator surrounded by rectangular parasitic strips. As the antenna shape becomes more arbitrary and complex and as the number of supporting structures grows, a designer may want to use a method that directly optimizes across all of the parameters simulataneously. In tidy3d, we can do this via gradient-based optimizations powered by the adjoint method and made accessible through automatic differentiation (autograd). In this notebook, we first demonstrate the simplest patch antenna optimization where we find the optimal width/height of a patch based on a desired radiation frequency. In this optimization (and the second one as well), we fix the substrate material and thickness and focus our deisng efforts on the antenna shape. For the second example, we show how to optimize an antenna for dual-band operation by introducing an optimizable inset, fins, and passive radiating structures around the central patch. Here, the size of the optimization problem is increased and the optimizer simultaneously tunes the dimensions and positions of all of the structures. We show these two optimization geometries below. In both cases, we are optimizing the patch shape on top of a substrate and ground plane. The antennas are excited by an offset feed line and radiate into free space. In the middle, we show the simple patch geometry where the optimization parameters are just the patch width and height. On the right, we show the higher dimensional optimization where the geometric parameters and relative positions for multiple patches can be optimized simultaneously.\n", + "\n", + "
\n", + " \n", + " \n", + " \n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "# Tidy3d import and set logging level\n", + "import tidy3d as td\n", + "\n", + "td.config.logging_level = \"ERROR\"\n", + "\n", + "# External modules needed for this notebook\n", + "import numpy as np\n", + "import autograd.numpy as anp\n", + "from autograd import value_and_grad\n", + "import optax\n", + "\n", + "# Tidy3d plugin import\n", + "import tidy3d.plugins.smatrix as smatrix\n", + "from tidy3d.plugins.microwave import rf_material_library\n", + "from tidy3d.web import run\n", + "\n", + "# Libraries and configuration for printing and display\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches as patches\n", + "from rich.console import Console\n", + "from rich.text import Text\n", + "\n", + "console = Console()\n", + "\n", + "print_decimal_places = 2\n", + "num_optimization_prints = 10" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Configuration and Parameters\n", + "\n", + "In this first section, we set up a variety of parameters for the optimization problems, including the frequency bands and resonance targets as well as useful geometric parameters. Similar to other RF examples, we introduce a scaling factor to convert the default unit in Tidy3D of micrometers to millimeters (mm), which is more commonly used in antenna simulations. Thus, the default unit when looking at constants in this notebook is millimeters." + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "# length scales and geometric parameters for optimization\n", + "mm = 1e3 # mm scaling\n", + "\n", + "# feedline parameters\n", + "feed_x = 2.46 * mm # width of feed\n", + "feed_y = 20 * mm # length of feed\n", + "feed_offset = 2.09 * mm # feed offset from center of patch\n", + "\n", + "# substrate geometric parameters - broken into substrate sizes for the single patch optimization that comes\n", + "# first and the multi-patch optimization that comes second where we need a larger substrate to\n", + "# support the larger antenna geometry\n", + "single_patch_sub_width = 23.34 * mm\n", + "single_patch_sub_height_extension = 25 * mm\n", + "\n", + "sub_x_single_patch = [-0.5 * single_patch_sub_width, 0.5 * single_patch_sub_width]\n", + "sub_y_single_patch = [-feed_y, single_patch_sub_height_extension]\n", + "sub_z = 0.794 * mm\n", + "sub_z = 0.68 * mm\n", + "\n", + "multi_patch_sub_width = 3 * 23.34 * mm\n", + "multi_patch_sub_height_extension = 1.75 * 25 * mm\n", + "\n", + "sub_x_multi_patch = [-0.5 * multi_patch_sub_width, 0.5 * multi_patch_sub_width]\n", + "sub_y_multi_patch = [-feed_y, multi_patch_sub_height_extension]\n", + "\n", + "# frequency range\n", + "freq_start = 7e9\n", + "freq_stop = 11e9\n", + "freq_bounds = [freq_start, freq_stop]\n", + "# simulation frequencies to cover enough bandwidth for evaluating and optimizing antennas\n", + "opt_sim_freqs = [8e9, 10e9]\n", + "\n", + "freq0 = (freq_start + freq_stop) / 2 # central frequency\n", + "wavelength0 = td.C_0 / freq0 # wavelength of centeral frequency in vacuum\n", + "\n", + "freqs = np.linspace(freq_start, freq_stop, 200)\n", + "\n", + "# frequencies for computing S-parameters of antennas\n", + "freqs_s_params = freqs\n", + "\n", + "# frequencies for optimizing different\n", + "opt_freqs_single_patch = [8.25e9] # single patch target frequency\n", + "num_opt_freqs_multi_patch = 2\n", + "# optimize multi patch geometry for dual resonance\n", + "opt_freqs_multi_patch = np.linspace(8e9, 9e9, num_opt_freqs_multi_patch)\n", + "\n", + "#\n", + "# materials for optimization\n", + "#\n", + "air = td.Medium() # set up the antennas so they radiate into air\n", + "# eps_r = 2.2 # substrate permittivity for antennas\n", + "# sub_medium = td.Medium(permittivity=eps_r)\n", + "# choose common PCB material for substrate\n", + "sub_medium = rf_material_library['FR4']['standard']\n", + "sub_medium = rf_material_library['RO3003']['design']\n", + "sub_medium = rf_material_library['AD255C']['design']\n", + "PEC = td.PEC2D # Thickness-free PEC medium for antenna patches, feed lines, and the ground plane" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Create Simulation Objects\n", + "\n", + "To prepare for the optimization, we need to make a base simulation that we can add the antenna geometry and excitation source to. This base simulation includes the ground plane and substrate, the two structures below the patch antenna. In this simulation, we also set up a mesh override region to cover the region of the simulation with PEC. We use a very fine mesh here to improve accuracy of both the simulation and PEC gradients. As in other RF examples, the source will be added later via a `LumpedPort`." + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [], + "source": [ + "def create_base_sim(sub_x_bounds, sub_y_bounds):\n", + " \"\"\"\n", + " Creates the base simulation for evaluating and optimizing patch antennas. The base simulation includes the\n", + " substrate geometry, and ground plane. It also overrides the vertical\n", + " slice of the simulation with a fine mesh override to ensure accurate simulation and gradients near PEC boundaries.\n", + " \"\"\"\n", + " substrate_box = td.Box.from_bounds(\n", + " [sub_x_bounds[0], sub_y_bounds[0], -sub_z / 2.0],\n", + " [sub_x_bounds[1], sub_y_bounds[1], sub_z / 2.0],\n", + " )\n", + " # Define substrate structure\n", + " substrate = td.Structure(\n", + " geometry=substrate_box,\n", + " medium=sub_medium,\n", + " )\n", + "\n", + " # Define ground plane structure and assign the material by PEC\n", + " ground_plane = td.Structure(\n", + " geometry=substrate_box.updated_copy(\n", + " center=list(substrate_box.center[0:2]) + [-sub_z / 2.0],\n", + " size=list(substrate_box.size[0:2]) + [0],\n", + " ),\n", + " medium=PEC,\n", + " )\n", + "\n", + " # list of structures for the simulation arranged first by dielectric and then PEC to\n", + " # ensure PEC takes precedence at interfaces.\n", + " structures_list = [substrate, ground_plane]\n", + "\n", + " # PML wavelength at 10 GHz\n", + " wl_pml = wavelength0\n", + "\n", + " # quarter wavelength (at 10 GHz) padding on each side\n", + " sim_x_size = sub_x_bounds[1] - sub_x_bounds[0] + wl_pml / 2.0\n", + " sim_y_size = sub_y_bounds[1] - sub_y_bounds[0] + wl_pml / 2.0\n", + " sim_y_center = np.mean(sub_y_bounds)\n", + "\n", + " sim_z_max = sub_z + 1.5 * wavelength0\n", + " sim_z_min = sub_z - 0.5 * wavelength0\n", + " sim_z_center = 0.5 * (sim_z_max + sim_z_min)\n", + " sim_z_size = sim_z_max - sim_z_min\n", + "\n", + " # set a fine mesh based on the center wavelength\n", + " dl = wavelength0 / 200.0\n", + " mesh_override_vertical_padding = 1 * mm\n", + "\n", + " mesh_overrides = [\n", + " td.MeshOverrideStructure(\n", + " geometry=td.Box(\n", + " center=(0, sim_y_center, 0.0),\n", + " size=(sim_x_size, sim_y_size, sub_z + mesh_override_vertical_padding),\n", + " ),\n", + " dl=[dl, dl, dl],\n", + " )\n", + " ]\n", + "\n", + " # Truncate the computational domain by PMLs\n", + " boundary_spec = td.BoundarySpec(\n", + " x=td.Boundary.pml(),\n", + " y=td.Boundary.pml(),\n", + " z=td.Boundary.pml(),\n", + " )\n", + "\n", + " # Create the simulation object\n", + " base_sim = td.Simulation(\n", + " center=[0.0, sim_y_center, sim_z_center],\n", + " size=[sim_x_size, sim_y_size, sim_z_size],\n", + " grid_spec=td.GridSpec.auto(\n", + " min_steps_per_wvl=20, # The largest cell size is set to 20 cells per smallest wavelength.\n", + " wavelength=td.C_0 / freq_stop, # Smallest wavelength to resolve\n", + " override_structures=mesh_overrides,\n", + " ),\n", + " structures=structures_list,\n", + " sources=[], # Sources will be added by TerminalComponentModeler\n", + " monitors=[],\n", + " run_time=70 * (substrate.geometry.size[1] / td.C_0),\n", + " boundary_spec=boundary_spec,\n", + " plot_length_units=\"mm\", # This option will make plots default to units of millimeters.\n", + " )\n", + "\n", + " return base_sim" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In addition to the base simulation creation, we set up a function to add a feed line and PEC patches to a simulation object. Later, this will allow us to create an antenna with an arbitrary list of patches and insert it into our base simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [], + "source": [ + "def create_simulation_with_patches(base_sim, patch_boxes, monitors):\n", + " \"\"\"\n", + " Creates a new simulation from the base simulation that includes PEC patches for all of the Box\n", + " objects in patch_boxes as well as adds a feed line.\n", + " \"\"\"\n", + " patches = []\n", + " for patch_box in patch_boxes:\n", + " patches.append(td.Structure(geometry=patch_box, medium=PEC))\n", + "\n", + " feed_geometry = td.Box.from_bounds(\n", + " [feed_offset - 0.5 * feed_x, -feed_y, sub_z / 2], [feed_offset + 0.5 * feed_x, 0, sub_z / 2]\n", + " )\n", + "\n", + " feed = td.Structure(geometry=feed_geometry, medium=PEC)\n", + "\n", + " return base_sim.updated_copy(\n", + " structures=list(base_sim.structures) + [feed] + patches,\n", + " monitors=list(base_sim.monitors) + monitors,\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we set up a function to create the `LumpedPort` and `TerminalComponentModeler` that will create the input excitation to the antenna. We can specify an impedance for the port as well as the desired frequencies for the resulting simulation. The `TerminalComponentModeler` contains the simulations to run to evaluate and optimize the antenna." + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [], + "source": [ + "def create_modeler(simulation, frequencies, radiation_monitors=(), port_impedance=50):\n", + " \"\"\"\n", + " Creates the LumpedPort and TerminalComponentModeler based on a `simulation`, the desired\n", + " simulation `frequencies` and a `port_impedance`.\n", + " \"\"\"\n", + " # Setup a LumpedPort for the TerminalComponentModeler, which is needed\n", + " # to end the port with a matched load as well as providing a source for the simulation.\n", + " port = smatrix.LumpedPort(\n", + " center=[feed_offset, -feed_y, 0],\n", + " size=[feed_x, 0, sub_z],\n", + " voltage_axis=2,\n", + " name=\"lumped_port\",\n", + " impedance=port_impedance,\n", + " )\n", + "\n", + " # We integrate the base simulation with the LumpedPort using the TerminalComponentModeler.\n", + " # This allows us to compute scattering parameters and extract any additional data needed from the simulation.\n", + " modeler = smatrix.TerminalComponentModeler(\n", + " simulation=simulation,\n", + " ports=[port],\n", + " freqs=frequencies,\n", + " verbose=True,\n", + " remove_dc_component=False, # Include DC component for more accuracy at low frequencies\n", + " radiation_monitors=radiation_monitors,\n", + " )\n", + "\n", + " return modeler" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Plotting and Evaluation Functions\n", + "\n", + "Here, we set up some helper functions to aid in plotting antenna geometry and evaluating antenna characteristics before and after optimizations. First, we set up a function to plot the antenna structure and feed line along with the surrounding mesh. Near PEC edges, especially when computing gradients, we recommend using a fine mesh. In this function, we can also observe the location where the input source is fed into the antenna to confirm it is at the end of the feed line." + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_structures_and_mesh(patch_boxes, sub_x_bounds, sub_y_bounds):\n", + " \"\"\"Plots the antenna structure and surrounding mesh to ensure it looks as expected before running simulations.\"\"\"\n", + " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", + "\n", + " no_additional_monitors = []\n", + " sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n", + " mesh_modeler = create_modeler(sim_with_patches, freqs)\n", + "\n", + " sim_temp = list(mesh_modeler.sim_dict.values())[0]\n", + "\n", + " sim_x_bounds = [\n", + " sim_temp.center[0] - 0.5 * sim_temp.size[0],\n", + " sim_temp.center[0] + 0.5 * sim_temp.size[0],\n", + " ]\n", + "\n", + " sim_y_bounds = [\n", + " sim_temp.center[1] - 0.5 * sim_temp.size[1],\n", + " sim_temp.center[1] + 0.5 * sim_temp.size[1],\n", + " ]\n", + "\n", + " fig, ax = plt.subplots()\n", + "\n", + " # examine the structure and mesh in the x-y plane\n", + " sim_temp.plot(\n", + " z=sub_z / 2,\n", + " ax=ax,\n", + " hlim=sim_x_bounds,\n", + " vlim=sim_y_bounds,\n", + " monitor_alpha=0.2,\n", + " )\n", + " sim_temp.plot_grid(z=sub_z / 2, ax=ax, hlim=sim_x_bounds, vlim=sim_y_bounds)\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Second, we set up a function that can calculate S11 and realized antenna gain. S11 is the voltage reflection coefficient and $|S11|^2$ is the power reflection coefficient or in other words, the reflected power divided by the input power. A good antenna will have a small S11 at its operating frequencies. S11 is plotted in dB and thus at resonance, we will see a large, negative value corresponding to low reflection. Before and after an optimization, this is one way to evaluate how well the optimization tuned the geometry for the correct frequencies. In the realized gain plot, we can see efficiently energy is radiating from the antenna and in what direction when compared to an isotropic radiator. For simplicity and to keep plots less crowded, we collect the realized gain for the optimization frequencies while we compute S11 value over a broad spectrum." + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [], + "source": [ + "def evaluate_antenna(patch_boxes, eval_s_params_freqs, opt_freqs, sub_x_bounds, sub_y_bounds):\n", + " \"\"\"\n", + " Evaluate the S11 parameter and realized gain in both polarizations for the given antenna geometry.\n", + " The S11 is calculated across a broad spectrum while the realized gain is only computed for the opt_freqs.\n", + " \"\"\"\n", + "\n", + " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", + " no_additional_monitors = []\n", + " sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n", + "\n", + " theta = np.linspace(-np.pi, np.pi, 200)\n", + " phi = np.linspace(0, np.pi, 100)\n", + "\n", + " directivity_center_x = np.mean(sub_x_bounds)\n", + " directivity_center_y = np.mean(sub_y_bounds)\n", + " directivity_size_x = 5 * mm + sub_x_bounds[1] - sub_x_bounds[0]\n", + " directivity_size_y = 5 * mm + sub_y_bounds[1] - sub_y_bounds[0]\n", + "\n", + " monitor_directivity = td.DirectivityMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0],\n", + " size=(\n", + " directivity_size_x,\n", + " directivity_size_y,\n", + " 4 * mm,\n", + " ),\n", + " freqs=opt_freqs,\n", + " name=\"directivity\",\n", + " phi=list(phi),\n", + " theta=list(theta),\n", + " far_field_approx=True,\n", + " )\n", + "\n", + " sim_with_directivity = sim_with_patches\n", + " # we only need whatever frequencies are unique in these two lists to have all the data we need for computing\n", + " # S11 and gain\n", + " eval_freqs = np.unique(list(eval_s_params_freqs) + list(opt_freqs))\n", + "\n", + " modeler = create_modeler(\n", + " sim_with_directivity, eval_freqs, radiation_monitors=[monitor_directivity]\n", + " )\n", + " batch_data = {\n", + " task_name: run(\n", + " simulation=simulation,\n", + " verbose=False,\n", + " local_gradient=True,\n", + " task_name=\"PatchAntennaEval\",\n", + " worker_group=\"belmont\",\n", + " )\n", + " for task_name, simulation in modeler.sim_dict.items()\n", + " }\n", + " sim_data = batch_data[\"smatrix_lumped_port\"]\n", + "\n", + " antenna_parameters_freq = modeler.get_antenna_metrics_data(\n", + " monitor_name=\"directivity\", batch_data=batch_data\n", + " )\n", + " partial_realized_gain = antenna_parameters_freq.partial_realized_gain(pol_basis=\"linear\")\n", + "\n", + " s_matrix = modeler._construct_smatrix()\n", + "\n", + " return s_matrix, sim_data, theta, partial_realized_gain" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Given the optimization results, we can plot the comparison of two antenna simulations using the `plot_antenna_comparison` function below. We can easily compare the initial and final optimization states to see how well the resulting antenna is performing in our desired metrics." + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_antenna_comparison(\n", + " s_matrix_list,\n", + " sim_data_list,\n", + " partial_realized_gain_list,\n", + " opt_freqs,\n", + " theta,\n", + " plot_phi,\n", + " plot_title=None,\n", + " sim_names=None,\n", + " single_color_gain_plots=False,\n", + " savefig_fname=None,\n", + "):\n", + " \"\"\"\n", + " Plots a comparison of two sets of simulation data.\n", + "\n", + " Args:\n", + " s_matrix_list: List of S-matrix objects [s_matrix_sim1, s_matrix_sim2].\n", + " sim_data_list: List of sim_data objects [sim_data_sim1, sim_data_sim2],\n", + " where each sim_data contains a \"radiation\" DirectivityMonitor output.\n", + " partial_realized_gain_list: List of realized gain in linear polarization for each simulation.\n", + " opt_freqs: List of optimization frequencies to plot for directivity.\n", + " theta: Numpy array of theta angles for polar plots.\n", + " sim_names: Optional list of names for simulations for clearer legends.\n", + " single_color_gain_plots: Whether or not to use a single color for all the frequencies\n", + " in the gain plot or have each frequency a different color\n", + " savefig_fname: A filename to save the resulting figure\n", + " \"\"\"\n", + "\n", + " num_simulations = len(s_matrix_list)\n", + " if num_simulations != 2 or len(sim_data_list) != 2:\n", + " print(\"Warning: This function is designed to compare exactly two simulations.\")\n", + "\n", + " alphas = [0.5, 1.0] # Alpha for sim1, sim2\n", + " if sim_names is None or len(sim_names) != num_simulations:\n", + " sim_names = [f\"Sim {i+1}\" for i in range(num_simulations)]\n", + "\n", + " grid_spec_cols = 3 # S11 and realized gain for each polarization side-by-side\n", + " fig_width = 13.5 # set for three plots\n", + " fig_height = 6.5 # slightly more height for polar plot legend\n", + "\n", + " num_rows = 1\n", + "\n", + " fig = plt.figure(figsize=(fig_width, fig_height), constrained_layout=True)\n", + " gs = fig.add_gridspec(num_rows, grid_spec_cols)\n", + " axs_list = []\n", + "\n", + " # plot the S11 parameter comparison for each simulation\n", + " ax_s11 = fig.add_subplot(gs[0, 0])\n", + " axs_list.append(ax_s11)\n", + " ax_s11.set_title(\"$S_{11}$ Coefficient\")\n", + " ax_s11.set_xlabel(\"Frequency (GHz)\")\n", + " ax_s11.set_ylabel(\"$|S_{11}|^2$ (dB)\")\n", + "\n", + " for sim_idx in range(num_simulations):\n", + " s_matrix = s_matrix_list[sim_idx]\n", + " current_alpha = alphas[sim_idx]\n", + " sim_label_name = sim_names[sim_idx]\n", + "\n", + " s11_freqs_ghz = s_matrix.f / 1e9\n", + " s11_data_selection = s_matrix.isel(port_out=0, port_in=0)\n", + "\n", + " s11_values_flat = s11_data_selection.values.flatten()\n", + " s11_values_db = 20 * np.log10(np.abs(s11_values_flat))\n", + " ax_s11.plot(\n", + " s11_freqs_ghz,\n", + " s11_values_db,\n", + " alpha=current_alpha,\n", + " label=f\"{sim_label_name})\",\n", + " ) # Label for legend\n", + "\n", + " impedances_norm = (1 + s11_values_flat) / (1 - s11_values_flat)\n", + "\n", + " for opt_freq in opt_freqs:\n", + " ax_s11.axvline(x=opt_freq / 1e9, color=\"k\", linestyle=\"--\")\n", + "\n", + " ax_s11.set_ylim(-25, 2)\n", + " ax_s11.grid(True)\n", + " ax_s11.legend()\n", + "\n", + " # for each linear polarization component, plot the realized gain for each linear polarization\n", + " polarization_components = [\"Gtheta\", \"Gphi\"]\n", + "\n", + " for pol_idx, pol_component in enumerate(polarization_components):\n", + " ax_polar = fig.add_subplot(gs[0, 1 + pol_idx], projection=\"polar\")\n", + " axs_list.append(ax_polar)\n", + " ax_polar.set_title(f\"Realized Gain for {pol_component}\")\n", + "\n", + " ax_polar.set_theta_direction(-1)\n", + " ax_polar.set_theta_offset(np.pi / 2.0)\n", + " ax_polar.grid(True)\n", + " ax_polar.set_rlabel_position(22.5)\n", + "\n", + " overall_max_gain = -np.inf\n", + " color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", + "\n", + " for freq_idx, eval_freq in enumerate(opt_freqs):\n", + " base_color = color_cycle[freq_idx % len(color_cycle)]\n", + " if single_color_gain_plots:\n", + " base_color = color_cycle[0]\n", + " freq_label_for_legend = f\"{eval_freq/1e9:.2f} GHz\"\n", + "\n", + " # Plot data for each simulation for the current frequency\n", + " for sim_idx in range(num_simulations):\n", + " sim_data = sim_data_list[sim_idx]\n", + " current_alpha = alphas[sim_idx]\n", + "\n", + " if single_color_gain_plots:\n", + " base_color = color_cycle[sim_idx]\n", + "\n", + " realized_gain_data = partial_realized_gain_list[sim_idx][pol_component].sel(\n", + " f=eval_freq, phi=plot_phi, method=\"nearest\"\n", + " )\n", + "\n", + " gain_values_for_plot = realized_gain_data.squeeze().values\n", + "\n", + " current_max_val = np.max(gain_values_for_plot)\n", + " if current_max_val > overall_max_gain:\n", + " overall_max_gain = current_max_val\n", + "\n", + " # Label only the second simulation's line (alpha=1.0) for the legend entry of this frequency\n", + " label_to_use = f\"{freq_label_for_legend} ({sim_names[sim_idx]})\"\n", + " ax_polar.plot(\n", + " theta,\n", + " gain_values_for_plot,\n", + " color=base_color,\n", + " alpha=current_alpha,\n", + " label=label_to_use,\n", + " )\n", + "\n", + " ax_polar.set_rlim(0, overall_max_gain * 1.1 if overall_max_gain > 0 else 1.0)\n", + " ax_polar.legend(title=\"Frequency (GHz)\", loc=\"best\", fontsize=\"small\")\n", + "\n", + " if plot_title:\n", + " fig.suptitle(plot_title, fontsize=16)\n", + " else:\n", + " fig.suptitle(\"Antenna Simulation Comparison\", fontsize=16)\n", + "\n", + " if savefig_fname:\n", + " plt.savefig(savefig_fname)\n", + "\n", + " plt.show()\n", + "\n", + "\n", + "def plot_antenna_evolution(s11_dB, s11_f, partial_realized_gain, gain_freqs, theta):\n", + " num_lines = len(s11_dB)\n", + "\n", + " alphas = np.linspace(0.25, 1.0, num_lines)\n", + "\n", + " fig_width = 13.5\n", + " fig_height = 6.5\n", + "\n", + " fig = plt.figure(figsize=(fig_width, fig_height), constrained_layout=True)\n", + " num_rows = 1\n", + " grid_spec_cols = 3\n", + " gs = fig.add_gridspec(num_rows, grid_spec_cols)\n", + " axs_list = []\n", + "\n", + " ax_s11 = fig.add_subplot(gs[0, 0])\n", + " axs_list.append(ax_s11)\n", + " ax_s11.set_title(\"$S_{11}$ Coefficient\")\n", + " ax_s11.set_xlabel(\"Frequency (GHz)\")\n", + " ax_s11.set_ylabel(\"$|S_{11}|^2$ (dB)\")\n", + "\n", + " color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", + "\n", + " for idx in range(0, num_lines):\n", + " ax_s11.plot(s11_f, s11_dB[idx], color=color_cycle[0], linewidth=1.5, alpha=alphas[idx])\n", + "\n", + " ax_s11.set_ylim(-25, 2)\n", + " ax_s11.grid(True)\n", + " # ax_s11.legend()\n", + "\n", + " def add_polar_sequence(grid_col, pol_component, plot_phi, title):\n", + " ax_polar = fig.add_subplot(gs[0, grid_col], projection=\"polar\")\n", + " axs_list.append(ax_polar)\n", + " ax_polar.set_title(f\"Realized Gain for {pol_component}\")\n", + " \n", + " ax_polar.set_theta_direction(-1)\n", + " ax_polar.set_theta_offset(np.pi / 2.0)\n", + " ax_polar.grid(True)\n", + " ax_polar.set_rlabel_position(22.5)\n", + "\n", + " for idx in range(0, num_lines):\n", + " partial_realized_gain_batch = partial_realized_gain[idx][pol_component]\n", + " partial_realized_gain_batch = np.reshape(partial_realized_gain_batch, (len(gain_freqs), len(theta)))\n", + " \n", + " for freq_idx in range(0, len(gain_freqs)):\n", + " gain_values_for_plot = partial_realized_gain_batch[freq_idx]\n", + " \n", + " ax_polar.plot(\n", + " theta,\n", + " gain_values_for_plot,\n", + " color=color_cycle[freq_idx],\n", + " alpha=alphas[idx]\n", + " )\n", + " \n", + " ax_polar.set_title(title)\n", + "\n", + " add_polar_sequence(1, \"Gtheta\", 0, f\"Realized Gain\\n(Gtheta), phi=0\")\n", + " add_polar_sequence(2, \"Gphi\", np.pi / 2., f\"Realized Gain\\n(Gtheta), phi=0\")\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We set up a function to plot the figure of merit trajectory of the optimziation and compare the initial and final antenna geometries. This is an indication of how well the optimization worked as well as a demonstration of the overall change that occurred over the course of the optimization. For the single patch antenna, these changes are small and show a tuning of the width and height, but we will see in the higher-dimensional optimization that the central and surrounding patches change significantly while optimizing for a broad band figure of merit." + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_optimization_results(\n", + " figure_of_merit, feed_rect, init_rectangles, final_rectangles, savefig_fname=None\n", + "):\n", + " \"\"\"\n", + " Plots a main rectangle and two lists of other rectangles with specified styles.\n", + "\n", + " Args:\n", + " main_rect (Rect): The primary rectangle to be plotted in gold.\n", + " It should have 'center' (tuple) and 'size' (tuple) attributes.\n", + " list1_rects (list[Rect]): A list of rectangles to be plotted in gray\n", + " with 0.25 transparency and a dotted black border.\n", + " list2_rects (list[Rect]): A list of rectangles to be plotted in gold.\n", + " savefig_fname: A filename to save the resulting figure\n", + "\n", + " \"\"\"\n", + " fig, ax = plt.subplots(1, 2)\n", + " ax[1].set_aspect(\"equal\", adjustable=\"box\")\n", + "\n", + " all_rects_params = [] # to store (x_bl, y_bl, width, height) for limit calculation\n", + "\n", + " # helper function to add a rectangle and collect its parameters\n", + " def add_rectangle_to_plot(\n", + " rect_obj, facecolor, alpha=1.0, edgecolor=\"black\", linestyle=\"solid\", legend=None\n", + " ):\n", + " \"\"\"\n", + " Adds a single rectangle to the plot and collects its parameters.\n", + "\n", + " Args:\n", + " rect_obj (Rect): The rectangle object with 'center' and 'size'.\n", + " facecolor (str): The face color of the rectangle.\n", + " alpha (float): The transparency of the rectangle.\n", + " edgecolor (str): The edge color of the rectangle.\n", + " linestyle (str): The line style of the rectangle's border.\n", + " \"\"\"\n", + " center_x, center_y, _ = rect_obj.center\n", + " width, height, _ = rect_obj.size\n", + "\n", + " center_x /= mm\n", + " center_y /= mm\n", + " width /= mm\n", + " height /= mm\n", + "\n", + " # Calculate bottom-left corner coordinates\n", + " bottom_left_x = center_x - width / 2\n", + " bottom_left_y = center_y - height / 2\n", + "\n", + " all_rects_params.append((bottom_left_x, bottom_left_y, width, height))\n", + "\n", + " rect_patch = patches.Rectangle(\n", + " (bottom_left_x, bottom_left_y),\n", + " width,\n", + " height,\n", + " facecolor=facecolor,\n", + " alpha=alpha,\n", + " edgecolor=edgecolor,\n", + " linestyle=linestyle,\n", + " linewidth=1, # Default linewidth for borders\n", + " label=legend,\n", + " )\n", + " ax[1].add_patch(rect_patch)\n", + "\n", + " add_rectangle_to_plot(feed_rect, facecolor=\"gold\", edgecolor=\"black\")\n", + "\n", + " legends_init_rect = [\n", + " \"initial\" if (idx == 0) else None for idx in range(0, len(init_rectangles))\n", + " ]\n", + " legends_final_rect = [\n", + " \"final\" if (idx == 0) else None for idx in range(0, len(final_rectangles))\n", + " ]\n", + "\n", + " # plot rectangles from the second list (gold)\n", + " for idx, rect_obj in enumerate(final_rectangles):\n", + " add_rectangle_to_plot(\n", + " rect_obj, facecolor=\"gold\", edgecolor=\"black\", legend=legends_final_rect[idx]\n", + " ) # Added black edge for consistency\n", + "\n", + " # plot rectangles from the first list (gray, 0.25 alpha, dotted black border)\n", + " for idx, rect_obj in enumerate(init_rectangles):\n", + " add_rectangle_to_plot(\n", + " rect_obj,\n", + " facecolor=\"gray\",\n", + " alpha=0.25,\n", + " edgecolor=\"black\",\n", + " linestyle=\"dotted\",\n", + " legend=legends_init_rect[idx],\n", + " )\n", + "\n", + " # calculate plot limits\n", + " if all_rects_params:\n", + " min_x = min(p[0] for p in all_rects_params)\n", + " min_y = min(p[1] for p in all_rects_params)\n", + " max_x = max(p[0] + p[2] for p in all_rects_params) # max x is bottom_left_x + width\n", + " max_y = max(p[1] + p[3] for p in all_rects_params) # max y is bottom_left_y + height\n", + "\n", + " # add some padding to the limits\n", + " padding_x = (max_x - min_x) * 0.1 if (max_x - min_x) > 0 else 1\n", + " padding_y = (max_y - min_y) * 0.1 if (max_y - min_y) > 0 else 1\n", + "\n", + " ax[1].set_xlim(min_x - padding_x, max_x + padding_x)\n", + " ax[1].set_ylim(min_y - padding_y, max_y + padding_y)\n", + " else:\n", + " # default limits if no rectangles are plotted\n", + " ax[1].set_xlim(-5, 5)\n", + " ax[1].set_ylim(-5, 5)\n", + "\n", + " ax[1].set_title(\"Antenna Geometry\")\n", + " ax[1].set_xlabel(\"X-coordinate (mm)\")\n", + " ax[1].set_ylabel(\"Y-coordinate (mm)\")\n", + " ax[1].grid(True, linestyle=\"--\", alpha=0.7)\n", + "\n", + " ax[1].legend(loc=\"lower left\", bbox_to_anchor=(1.0, 0.75))\n", + "\n", + " ax[0].plot(figure_of_merit, color=\"green\", linewidth=2)\n", + " ax[0].set_title(\"Optimization\")\n", + " ax[0].set_xlabel(\"Iteration\")\n", + " ax[0].set_ylabel(\"Figure of Merit\")\n", + "\n", + " if savefig_fname:\n", + " plt.savefig(savefig_fname)\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Demonstrating Gradient Based Optimization of a Single Patch Antenna\n", + "\n", + "In our first optimization, we use the adjoint gradients to tune the width and height of a single patch antenna element. This is a good way to validate the gradients and optimization figures of merit are working as expected before moving onto a more complex optimization. As a first step, we create our objective function that we can use for both of our optimizations. This function takes in parameters defining the antenna geometry as well as a function to convert those parameters to `Box` geometries that we can import into the simulation. Further, it allows us to specify the optimization monitors we want to use since we will modify the placement of these monitors based on the overall patch antenna size. After adding the source via the `TerminalComponentModeler`, we run a simulation and measure the S11 value and flux into a band of angles above the antenna. S11 is a measure of how much energy is reflected and the radiated flux over a set of angles gives us a good figure of merit for directivity. We optimize the antenna to direct the radiated power at 0 degrees, directly outward from the antenna plane. The two figures are combined together into one by computing reflection efficiency as $1 - |S_{11}|^2$ and multiplying by the sum of the flux over a narrow band of angles around 0 degrees normalized by the initial flux in each of these angles.\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "from tidy3d.components.autograd import get_static\n", + "\n", + "\n", + "def compute_gain(\n", + " patch_params,\n", + " patch_params_to_boxes,\n", + " sub_x_bounds,\n", + " sub_y_bounds,\n", + " optimization_monitors,\n", + " opt_freqs,\n", + "):\n", + " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", + "\n", + " directivity_monitors = [\n", + " monitor for monitor in optimization_monitors if isinstance(monitor, td.DirectivityMonitor)\n", + " ]\n", + " non_directivity_monitors = [\n", + " monitor\n", + " for monitor in optimization_monitors\n", + " if not isinstance(monitor, td.DirectivityMonitor)\n", + " ]\n", + "\n", + " sim_with_patches = create_simulation_with_patches(\n", + " base_sim, patch_params_to_boxes(patch_params), non_directivity_monitors\n", + " )\n", + "\n", + " modeler_freqs = sorted(list(set(list(opt_sim_freqs) + list(opt_freqs))))\n", + "\n", + " modeler = create_modeler(\n", + " sim_with_patches, modeler_freqs, radiation_monitors=directivity_monitors\n", + " )\n", + "\n", + " # run the simulations for the antenna\n", + " batch_data = {\n", + " task_name: run(\n", + " simulation=simulation,\n", + " verbose=False,\n", + " local_gradient=True,\n", + " task_name=\"StaticPatchAntennaOptimization\",\n", + " worker_group=\"belmont\",\n", + " )\n", + " for task_name, simulation in modeler.sim_dict.items()\n", + " }\n", + "\n", + " antenna_parameters_freq = modeler.get_antenna_metrics_data(\n", + " monitor_name=\"directivity\", batch_data=batch_data\n", + " )\n", + "\n", + " s_matrix = modeler._internal_construct_smatrix(batch_data=batch_data)\n", + " projector = td.FieldProjector.from_near_field_monitors(\n", + " sim_data=batch_data[\"smatrix_lumped_port\"],\n", + " near_monitors=[optimization_monitors[-2]],\n", + " normal_dirs=[\"+\"], # we are projecting along the +z direction\n", + " )\n", + " radiation_data = projector.project_fields(optimization_monitors[-1])\n", + "\n", + " partial_directivity = td.DirectivityData.partial_directivity_static(\n", + " radiation_data.Etheta,\n", + " radiation_data.Ephi,\n", + " radiation_data.Htheta,\n", + " radiation_data.Hphi,\n", + " optimization_monitors[-1].proj_distance,\n", + " antenna_parameters_freq.radiated_power,\n", + " )\n", + "\n", + " poynting_flux = np.abs(\n", + " np.real(\n", + " 0.5\n", + " * (\n", + " radiation_data.Etheta * np.conj(radiation_data.Hphi)\n", + " - radiation_data.Ephi * np.conj(radiation_data.Htheta)\n", + " )\n", + " )\n", + " )\n", + "\n", + " gain = antenna_parameters_freq.realized_gain_from_directivity(partial_directivity)\n", + "\n", + " return gain, poynting_flux\n", + "\n", + "\n", + "def objective_fn(\n", + " patch_params,\n", + " patch_params_to_boxes,\n", + " sub_x_bounds,\n", + " sub_y_bounds,\n", + " optimization_monitors,\n", + " opt_freqs,\n", + " initial_gain,\n", + " poynting_flux_initial,\n", + " just_worst_s11=False,\n", + "):\n", + " \"\"\"\n", + " Objective function for an antenna optimization that converts `patch_params` into tidy3d Box\n", + " geometries via the supplied `patch_params_to_boxes` function. The `sub_x_bounds`, `sub_y_bounds`,\n", + " and `optimization_monitors` allow us to customize both the geometry and objective function\n", + " given the specific antenna we are optimizing for. The function computes a product of the reflection\n", + " efficiency and the increased flux in a set of optimization angles compared to the initial design.\n", + " \"\"\"\n", + " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", + "\n", + " directivity_monitors = [\n", + " monitor for monitor in optimization_monitors if isinstance(monitor, td.DirectivityMonitor)\n", + " ]\n", + " non_directivity_monitors = [\n", + " monitor\n", + " for monitor in optimization_monitors\n", + " if not isinstance(monitor, td.DirectivityMonitor)\n", + " ]\n", + "\n", + " # create the `TerminalComponentModeler` to add the source and get the simulation we can run\n", + " # to evaluate the antenna performance\n", + " modeler_freqs = sorted(list(set(list(opt_sim_freqs) + list(opt_freqs))))\n", + "\n", + " # add antenna patches to simulation\n", + " sim_with_patches = create_simulation_with_patches(\n", + " base_sim, patch_params_to_boxes(patch_params), non_directivity_monitors\n", + " )\n", + "\n", + " modeler = create_modeler(sim_with_patches, modeler_freqs)\n", + "\n", + " # run the simulations for the antenna\n", + " batch_data = {\n", + " task_name: run(\n", + " simulation=simulation,\n", + " verbose=False,\n", + " local_gradient=True,\n", + " task_name=\"PatchAntennaOptimization\",\n", + " worker_group=\"belmont\",\n", + " )\n", + " for task_name, simulation in modeler.sim_dict.items()\n", + " }\n", + "\n", + " def weights_from_merit(merit):\n", + " \"\"\"\n", + " Computes performance based weights that sum to a total weight of 1.\n", + " For a given frequency, the weights are inversely tied to the performance\n", + " so that figures of merit that are lagging get favored more than those that\n", + " are leading.\n", + " \"\"\"\n", + "\n", + " weights = (2.0 / len(merit)) - (merit**2 / anp.sum(merit**2))\n", + " clip_weights = anp.maximum(weights, 0.0)\n", + "\n", + " inv_weights = 1.0 / anp.sum(clip_weights)\n", + " renorm_weights = clip_weights * inv_weights\n", + "\n", + " return renorm_weights\n", + "\n", + " s_matrix = modeler._internal_construct_smatrix(batch_data=batch_data)\n", + " projector = td.FieldProjector.from_near_field_monitors(\n", + " sim_data=batch_data[\"smatrix_lumped_port\"],\n", + " near_monitors=[optimization_monitors[-2]],\n", + " normal_dirs=[\"+\"], # projecting along the +z direction\n", + " )\n", + " radiation_data = projector.project_fields(optimization_monitors[-1])\n", + "\n", + " poynting_flux = np.abs(\n", + " np.real(\n", + " 0.5\n", + " * (\n", + " radiation_data.Etheta * np.conj(radiation_data.Hphi)\n", + " - radiation_data.Ephi * np.conj(radiation_data.Htheta)\n", + " )\n", + " )\n", + " )\n", + "\n", + " fom_by_freq = []\n", + " merit_by_freq = []\n", + "\n", + " for freq in opt_freqs:\n", + " directivity_metric = np.sum(poynting_flux.sel(f=freq).data) / np.sum(\n", + " poynting_flux_initial.sel(f=freq).data\n", + " )\n", + "\n", + " s11 = np.abs(s_matrix.isel(port_out=0, port_in=0).sel(f=freq).data)\n", + "\n", + " fom = (1 - np.abs(s11) ** 2) * directivity_metric\n", + " merit_by_freq.append(fom)\n", + "\n", + " fom_by_freq.append(fom)\n", + "\n", + " fom_by_freq = anp.array(fom_by_freq)\n", + " merit_by_freq = anp.array(merit_by_freq)\n", + "\n", + " if len(fom_by_freq) > 1:\n", + " weights = weights_from_merit(merit_by_freq) # dynamic optimization weights\n", + " return anp.sum(weights * fom_by_freq)\n", + " else:\n", + " return anp.sum(fom_by_freq)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We then create a helper function to convert the patch width and height parameters to the antenna geometry for a single patch. To check out setup, we plot what the resulting antenna will look like when inserted into a simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def params_to_boxes_single_patch(patch_params):\n", + " \"\"\"Convert single patch parameters into patch geometry.\"\"\"\n", + "\n", + " patch_wh = patch_params[0:2]\n", + "\n", + " main_patch = td.Box.from_bounds(\n", + " [-0.5 * patch_wh[0], 0.0, sub_z / 2.0], [0.5 * patch_wh[0], patch_wh[1], sub_z / 2.0]\n", + " )\n", + "\n", + " return [main_patch]\n", + "\n", + "\n", + "# set an initial width and height for the patch\n", + "patch_init_width = 12.45 * mm\n", + "patch_init_height = 16 * mm\n", + "patch_init_wh = anp.array([patch_init_width, patch_init_height])\n", + "\n", + "# set the min/max for the patch width and height to use to bound these parameters in the optimization\n", + "patch_min_width = 8 * mm\n", + "patch_min_height = 8 * mm\n", + "\n", + "patch_max_width = 18 * mm\n", + "patch_max_height = 24 * mm\n", + "\n", + "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", + "plot_structures_and_mesh(\n", + " params_to_boxes_single_patch(patch_init_wh), sub_x_single_patch, sub_y_single_patch\n", + ")\n", + "# Helper function for evaluating antenna performance for a single patch\n", + "evaluate_single_antenna = lambda patch_wh, eval_s_params_freqs, opt_freqs: (\n", + " evaluate_antenna(\n", + " params_to_boxes_single_patch(patch_wh),\n", + " eval_s_params_freqs,\n", + " opt_freqs,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " )\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6f1ae0e2c47e427286ad33e10b6a63fd", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
15:56:52 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:56:52 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:56:55 EDT Maximum FlexCredit cost: 0.192 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:56:55 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.192\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1d8fe5f854cb47aea9dfcf60edfc1f8b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:56:56 EDT Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:56:56 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "cb4bc435240946179e6dc22e07dc9c0f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "9067c298da264eac8b5acf9f962bc6ac",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
16:02:37 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:02:37 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:02:44 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:02:44 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "fd8370ed594a477899777b57b44178d2", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:02:45 EDT Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:02:45 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "adf6e4b0696b4868b9cab835730f234f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 1\n",
+       "        Gradient (width, height): -0.00004649, -0.00002\n",
+       "        Updates (width, height): -29.99335480, -29.99\n",
+       "        Params (width, height): 12420.00683594, 15970.01\n",
+       "        Figure of merit:          0.10\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 1\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00004649, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.99335480, -29.99\u001b[0m\n", + " Params (width, height): \u001b[34m12420.00683594, 15970.01\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.10\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 2\n",
+       "        Gradient (width, height): -0.00002037, -0.00003\n",
+       "        Updates (width, height): -26.72758293, -30.14\n",
+       "        Params (width, height): 12393.27929688, 15939.88\n",
+       "        Figure of merit:          0.11\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 2\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00002037, -0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-26.72758293, -30.14\u001b[0m\n", + " Params (width, height): \u001b[34m12393.27929688, 15939.88\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.11\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 3\n",
+       "        Gradient (width, height): -0.00003684, -0.00004\n",
+       "        Updates (width, height): -28.14077759, -30.44\n",
+       "        Params (width, height): 12365.13867188, 15909.43\n",
+       "        Figure of merit:          0.11\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 3\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00003684, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-28.14077759, -30.44\u001b[0m\n", + " Params (width, height): \u001b[34m12365.13867188, 15909.43\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.11\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 4\n",
+       "        Gradient (width, height): -0.00005129, -0.00004\n",
+       "        Updates (width, height): -29.49263763, -30.78\n",
+       "        Params (width, height): 12335.64648438, 15878.65\n",
+       "        Figure of merit:          0.12\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 4\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00005129, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.49263763, -30.78\u001b[0m\n", + " Params (width, height): \u001b[34m12335.64648438, 15878.65\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 5\n",
+       "        Gradient (width, height): -0.00006396, -0.00001\n",
+       "        Updates (width, height): -30.53754425, -26.17\n",
+       "        Params (width, height): 12305.10937500, 15852.48\n",
+       "        Figure of merit:          0.12\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 5\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00006396, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-30.53754425, -26.17\u001b[0m\n", + " Params (width, height): \u001b[34m12305.10937500, 15852.48\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 6\n",
+       "        Gradient (width, height): -0.00007814, -0.00003\n",
+       "        Updates (width, height): -31.45319176, -26.49\n",
+       "        Params (width, height): 12273.65625000, 15826.00\n",
+       "        Figure of merit:          0.13\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 6\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00007814, -0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-31.45319176, -26.49\u001b[0m\n", + " Params (width, height): \u001b[34m12273.65625000, 15826.00\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.13\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 7\n",
+       "        Gradient (width, height): -0.00008505, -0.00004\n",
+       "        Updates (width, height): -32.22628784, -28.23\n",
+       "        Params (width, height): 12241.42968750, 15797.77\n",
+       "        Figure of merit:          0.13\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 7\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00008505, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-32.22628784, -28.23\u001b[0m\n", + " Params (width, height): \u001b[34m12241.42968750, 15797.77\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.13\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 8\n",
+       "        Gradient (width, height): -0.00009270, -0.00005\n",
+       "        Updates (width, height): -32.91765213, -29.97\n",
+       "        Params (width, height): 12208.51171875, 15767.79\n",
+       "        Figure of merit:          0.14\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 8\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00009270, -0.00005\u001b[0m\n", + " Updates (width, height): \u001b[35m-32.91765213, -29.97\u001b[0m\n", + " Params (width, height): \u001b[34m12208.51171875, 15767.79\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d0f84091982447ab8fd24c11854edba1", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
16:22:39 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:22:39 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:22:53 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:22:53 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cdedc7b5d3b3407eafbd128357d4c492", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:22:54 EDT Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:22:54 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d23415e61c914fd2b7884f6d0ea02a37",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 9\n",
+       "        Gradient (width, height): -0.00009862, -0.00005\n",
+       "        Updates (width, height): -33.51790619, -31.40\n",
+       "        Params (width, height): 12174.99414062, 15736.39\n",
+       "        Figure of merit:          0.14\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 9\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00009862, -0.00005\u001b[0m\n", + " Updates (width, height): \u001b[35m-33.51790619, -31.40\u001b[0m\n", + " Params (width, height): \u001b[34m12174.99414062, 15736.39\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 10\n",
+       "        Gradient (width, height): -0.00010310, -0.00005\n",
+       "        Updates (width, height): -34.02095795, -32.50\n",
+       "        Params (width, height): 12140.97363281, 15703.89\n",
+       "        Figure of merit:          0.14\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 10\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00010310, -0.00005\u001b[0m\n", + " Updates (width, height): \u001b[35m-34.02095795, -32.50\u001b[0m\n", + " Params (width, height): \u001b[34m12140.97363281, 15703.89\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 11\n",
+       "        Gradient (width, height): -0.00010938, -0.00002\n",
+       "        Updates (width, height): -34.50870895, -29.35\n",
+       "        Params (width, height): 12106.46484375, 15674.55\n",
+       "        Figure of merit:          0.15\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 11\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00010938, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-34.50870895, -29.35\u001b[0m\n", + " Params (width, height): \u001b[34m12106.46484375, 15674.55\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.15\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 12\n",
+       "        Gradient (width, height): -0.00001664, -0.00004\n",
+       "        Updates (width, height): -29.70228195, -29.80\n",
+       "        Params (width, height): 12076.76269531, 15644.74\n",
+       "        Figure of merit:          0.16\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 12\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00001664, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.70228195, -29.80\u001b[0m\n", + " Params (width, height): \u001b[34m12076.76269531, 15644.74\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.16\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 13\n",
+       "        Gradient (width, height): -0.00006988, -0.00006\n",
+       "        Updates (width, height): -29.54795456, -31.83\n",
+       "        Params (width, height): 12047.21484375, 15612.91\n",
+       "        Figure of merit:          0.18\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 13\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00006988, -0.00006\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.54795456, -31.83\u001b[0m\n", + " Params (width, height): \u001b[34m12047.21484375, 15612.91\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.18\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 14\n",
+       "        Gradient (width, height): -0.00011516, -0.00007\n",
+       "        Updates (width, height): -31.58968735, -33.95\n",
+       "        Params (width, height): 12015.62500000, 15578.96\n",
+       "        Figure of merit:          0.19\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 14\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00011516, -0.00007\u001b[0m\n", + " Updates (width, height): \u001b[35m-31.58968735, -33.95\u001b[0m\n", + " Params (width, height): \u001b[34m12015.62500000, 15578.96\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.19\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 15\n",
+       "        Gradient (width, height): -0.00015474, -0.00008\n",
+       "        Updates (width, height): -34.19954681, -35.76\n",
+       "        Params (width, height): 11981.42578125, 15543.21\n",
+       "        Figure of merit:          0.20\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 15\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00015474, -0.00008\u001b[0m\n", + " Updates (width, height): \u001b[35m-34.19954681, -35.76\u001b[0m\n", + " Params (width, height): \u001b[34m11981.42578125, 15543.21\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.20\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 16\n",
+       "        Gradient (width, height): -0.00019057, -0.00002\n",
+       "        Updates (width, height): -36.63318634, -31.78\n",
+       "        Params (width, height): 11944.79296875, 15511.43\n",
+       "        Figure of merit:          0.22\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 16\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00019057, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-36.63318634, -31.78\u001b[0m\n", + " Params (width, height): \u001b[34m11944.79296875, 15511.43\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.22\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8e6ad516c5a541f09036db4d8e76ce02", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
16:46:35 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:46:35 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:46:38 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:46:38 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3e75220f064c4affb61f3a5b005d479c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ef4e65f3bc0d4a6a8101fc1c9ab32b74",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 17\n",
+       "        Gradient (width, height): -0.00022578, -0.00006\n",
+       "        Updates (width, height): -38.71700287, -32.67\n",
+       "        Params (width, height): 11906.07617188, 15478.76\n",
+       "        Figure of merit:          0.23\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 17\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00022578, -0.00006\u001b[0m\n", + " Updates (width, height): \u001b[35m-38.71700287, -32.67\u001b[0m\n", + " Params (width, height): \u001b[34m11906.07617188, 15478.76\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.23\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 18\n",
+       "        Gradient (width, height): -0.00025186, -0.00009\n",
+       "        Updates (width, height): -40.36277771, -35.16\n",
+       "        Params (width, height): 11865.71386719, 15443.60\n",
+       "        Figure of merit:          0.25\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 18\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00025186, -0.00009\u001b[0m\n", + " Updates (width, height): \u001b[35m-40.36277771, -35.16\u001b[0m\n", + " Params (width, height): \u001b[34m11865.71386719, 15443.60\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.25\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 19\n",
+       "        Gradient (width, height): -0.00027269, -0.00010\n",
+       "        Updates (width, height): -41.63131332, -37.57\n",
+       "        Params (width, height): 11824.08300781, 15406.02\n",
+       "        Figure of merit:          0.26\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 19\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00027269, -0.00010\u001b[0m\n", + " Updates (width, height): \u001b[35m-41.63131332, -37.57\u001b[0m\n", + " Params (width, height): \u001b[34m11824.08300781, 15406.02\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.26\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 20\n",
+       "        Gradient (width, height): -0.00028936, -0.00011\n",
+       "        Updates (width, height): -42.58481216, -39.50\n",
+       "        Params (width, height): 11781.49804688, 15366.52\n",
+       "        Figure of merit:          0.27\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 20\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00028936, -0.00011\u001b[0m\n", + " Updates (width, height): \u001b[35m-42.58481216, -39.50\u001b[0m\n", + " Params (width, height): \u001b[34m11781.49804688, 15366.52\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.27\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 21\n",
+       "        Gradient (width, height): -0.00000753, -0.00004\n",
+       "        Updates (width, height): -35.15724945, -36.40\n",
+       "        Params (width, height): 11746.34082031, 15330.12\n",
+       "        Figure of merit:          0.31\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 21\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00000753, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-35.15724945, -36.40\u001b[0m\n", + " Params (width, height): \u001b[34m11746.34082031, 15330.12\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.31\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 22\n",
+       "        Gradient (width, height): -0.00020727, -0.00012\n",
+       "        Updates (width, height): -36.00515366, -38.60\n",
+       "        Params (width, height): 11710.33593750, 15291.52\n",
+       "        Figure of merit:          0.37\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 22\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00020727, -0.00012\u001b[0m\n", + " Updates (width, height): \u001b[35m-36.00515366, -38.60\u001b[0m\n", + " Params (width, height): \u001b[34m11710.33593750, 15291.52\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.37\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 23\n",
+       "        Gradient (width, height): -0.00038568, -0.00017\n",
+       "        Updates (width, height): -39.81743622, -41.72\n",
+       "        Params (width, height): 11670.51855469, 15249.80\n",
+       "        Figure of merit:          0.41\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 23\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00038568, -0.00017\u001b[0m\n", + " Updates (width, height): \u001b[35m-39.81743622, -41.72\u001b[0m\n", + " Params (width, height): \u001b[34m11670.51855469, 15249.80\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.41\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 24\n",
+       "        Gradient (width, height): -0.00054591, -0.00020\n",
+       "        Updates (width, height): -43.47848892, -44.37\n",
+       "        Params (width, height): 11627.04003906, 15205.43\n",
+       "        Figure of merit:          0.45\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 24\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00054591, -0.00020\u001b[0m\n", + " Updates (width, height): \u001b[35m-43.47848892, -44.37\u001b[0m\n", + " Params (width, height): \u001b[34m11627.04003906, 15205.43\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.45\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cddcec7e12c9484498594f22f7ef0175", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
17:18:23 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m17:18:23 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
17:18:26 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m17:18:26 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "61c4f25253a24fca9712c829a56eeb0d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
17:18:27 EDT Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m17:18:27 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "b1326e37283b40f680d0a1a92e104b97",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 25\n",
+       "        Gradient (width, height): -0.00071362, -0.00006\n",
+       "        Updates (width, height): -46.34262848, -40.54\n",
+       "        Params (width, height): 11580.69726562, 15164.89\n",
+       "        Figure of merit:          0.52\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 25\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00071362, -0.00006\u001b[0m\n", + " Updates (width, height): \u001b[35m-46.34262848, -40.54\u001b[0m\n", + " Params (width, height): \u001b[34m11580.69726562, 15164.89\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.52\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 26\n",
+       "        Gradient (width, height): -0.00084088, -0.00019\n",
+       "        Updates (width, height): -48.46352768, -42.94\n",
+       "        Params (width, height): 11532.23339844, 15121.95\n",
+       "        Figure of merit:          0.56\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 26\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00084088, -0.00019\u001b[0m\n", + " Updates (width, height): \u001b[35m-48.46352768, -42.94\u001b[0m\n", + " Params (width, height): \u001b[34m11532.23339844, 15121.95\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.56\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 27\n",
+       "        Gradient (width, height): -0.00094770, -0.00026\n",
+       "        Updates (width, height): -50.04177856, -45.96\n",
+       "        Params (width, height): 11482.19140625, 15076.00\n",
+       "        Figure of merit:          0.61\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 27\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00094770, -0.00026\u001b[0m\n", + " Updates (width, height): \u001b[35m-50.04177856, -45.96\u001b[0m\n", + " Params (width, height): \u001b[34m11482.19140625, 15076.00\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.61\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 28\n",
+       "        Gradient (width, height): -0.00102895, -0.00030\n",
+       "        Updates (width, height): -51.17455292, -48.32\n",
+       "        Params (width, height): 11431.01660156, 15027.68\n",
+       "        Figure of merit:          0.65\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 28\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00102895, -0.00030\u001b[0m\n", + " Updates (width, height): \u001b[35m-51.17455292, -48.32\u001b[0m\n", + " Params (width, height): \u001b[34m11431.01660156, 15027.68\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.65\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 29\n",
+       "        Gradient (width, height): -0.00044949, -0.00016\n",
+       "        Updates (width, height): -47.65345764, -46.29\n",
+       "        Params (width, height): 11383.36328125, 14981.40\n",
+       "        Figure of merit:          0.90\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 29\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00044949, -0.00016\u001b[0m\n", + " Updates (width, height): \u001b[35m-47.65345764, -46.29\u001b[0m\n", + " Params (width, height): \u001b[34m11383.36328125, 14981.40\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.90\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 30\n",
+       "        Gradient (width, height): -0.00151011, -0.00043\n",
+       "        Updates (width, height): -50.57958603, -49.63\n",
+       "        Params (width, height): 11332.78417969, 14931.76\n",
+       "        Figure of merit:          1.13\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 30\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00151011, -0.00043\u001b[0m\n", + " Updates (width, height): \u001b[35m-50.57958603, -49.63\u001b[0m\n", + " Params (width, height): \u001b[34m11332.78417969, 14931.76\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.13\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 31\n",
+       "        Gradient (width, height): -0.00247589, -0.00063\n",
+       "        Updates (width, height): -52.63725281, -52.25\n",
+       "        Params (width, height): 11280.14648438, 14879.51\n",
+       "        Figure of merit:          1.36\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 31\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00247589, -0.00063\u001b[0m\n", + " Updates (width, height): \u001b[35m-52.63725281, -52.25\u001b[0m\n", + " Params (width, height): \u001b[34m11280.14648438, 14879.51\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.36\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 32\n",
+       "        Gradient (width, height): -0.00337631, -0.00015\n",
+       "        Updates (width, height): -54.23688126, -47.05\n",
+       "        Params (width, height): 11225.90917969, 14832.46\n",
+       "        Figure of merit:          1.62\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 32\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00337631, -0.00015\u001b[0m\n", + " Updates (width, height): \u001b[35m-54.23688126, -47.05\u001b[0m\n", + " Params (width, height): \u001b[34m11225.90917969, 14832.46\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.62\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "dd72d087a6c445e68a889924f5033642", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
18:03:04 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m18:03:04 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
18:03:07 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m18:03:07 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "48e0ed8ef8cc411bbecfe306c17d1e66", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
18:03:08 EDT Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m18:03:08 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "cd0965da7f254b76b4b7ff7c75e99595",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 33\n",
+       "        Gradient (width, height): -0.00420778, -0.00063\n",
+       "        Updates (width, height): -55.72233963, -50.60\n",
+       "        Params (width, height): 11170.18652344, 14781.87\n",
+       "        Figure of merit:          1.89\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 33\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00420778, -0.00063\u001b[0m\n", + " Updates (width, height): \u001b[35m-55.72233963, -50.60\u001b[0m\n", + " Params (width, height): \u001b[34m11170.18652344, 14781.87\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.89\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 34\n",
+       "        Gradient (width, height): -0.00483004, -0.00094\n",
+       "        Updates (width, height): -57.03200531, -53.77\n",
+       "        Params (width, height): 11113.15429688, 14728.10\n",
+       "        Figure of merit:          2.11\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 34\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00483004, -0.00094\u001b[0m\n", + " Updates (width, height): \u001b[35m-57.03200531, -53.77\u001b[0m\n", + " Params (width, height): \u001b[34m11113.15429688, 14728.10\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.11\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 35\n",
+       "        Gradient (width, height): -0.00065328, -0.00129\n",
+       "        Updates (width, height): -48.99203110, -56.05\n",
+       "        Params (width, height): 11064.16210938, 14672.04\n",
+       "        Figure of merit:          2.87\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 35\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00065328, -0.00129\u001b[0m\n", + " Updates (width, height): \u001b[35m-48.99203110, -56.05\u001b[0m\n", + " Params (width, height): \u001b[34m11064.16210938, 14672.04\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.87\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 36\n",
+       "        Gradient (width, height): -0.00669098, -0.00117\n",
+       "        Updates (width, height): -53.38860321, -57.33\n",
+       "        Params (width, height): 11010.77343750, 14614.72\n",
+       "        Figure of merit:          4.35\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 36\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00669098, -0.00117\u001b[0m\n", + " Updates (width, height): \u001b[35m-53.38860321, -57.33\u001b[0m\n", + " Params (width, height): \u001b[34m11010.77343750, 14614.72\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4.35\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 37\n",
+       "        Gradient (width, height): -0.01290400, -0.00231\n",
+       "        Updates (width, height): -55.39050674, -58.44\n",
+       "        Params (width, height): 10955.38281250, 14556.27\n",
+       "        Figure of merit:          5.72\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 37\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.01290400, -0.00231\u001b[0m\n", + " Updates (width, height): \u001b[35m-55.39050674, -58.44\u001b[0m\n", + " Params (width, height): \u001b[34m10955.38281250, 14556.27\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m5.72\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 38\n",
+       "        Gradient (width, height): -0.01818814, -0.00297\n",
+       "        Updates (width, height): -57.35752869, -59.71\n",
+       "        Params (width, height): 10898.02539062, 14496.56\n",
+       "        Figure of merit:          7.10\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 38\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.01818814, -0.00297\u001b[0m\n", + " Updates (width, height): \u001b[35m-57.35752869, -59.71\u001b[0m\n", + " Params (width, height): \u001b[34m10898.02539062, 14496.56\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.10\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 39\n",
+       "        Gradient (width, height): -0.02248128, -0.00231\n",
+       "        Updates (width, height): -59.36722946, -60.11\n",
+       "        Params (width, height): 10838.65820312, 14436.46\n",
+       "        Figure of merit:          8.60\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 39\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.02248128, -0.00231\u001b[0m\n", + " Updates (width, height): \u001b[35m-59.36722946, -60.11\u001b[0m\n", + " Params (width, height): \u001b[34m10838.65820312, 14436.46\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.60\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 40\n",
+       "        Gradient (width, height): -0.02519027, -0.00337\n",
+       "        Updates (width, height): -61.04248428, -61.41\n",
+       "        Params (width, height): 10777.61523438, 14375.05\n",
+       "        Figure of merit:          9.83\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 40\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.02519027, -0.00337\u001b[0m\n", + " Updates (width, height): \u001b[35m-61.04248428, -61.41\u001b[0m\n", + " Params (width, height): \u001b[34m10777.61523438, 14375.05\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m9.83\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6a5c75f9660a4dfc946c6fc4803038ad", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
19:16:06 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m19:16:06 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
19:16:09 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m19:16:09 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5435f5ddb2554d3293cc99eb368b35ca", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
19:16:10 EDT Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m19:16:10 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "11e4d3a326b14ef58448e0f6c655f458",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 41\n",
+       "        Gradient (width, height): -0.00462613, -0.00072\n",
+       "        Updates (width, height): -53.34006500, -53.94\n",
+       "        Params (width, height): 10724.27539062, 14321.11\n",
+       "        Figure of merit:          14.44\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 41\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00462613, -0.00072\u001b[0m\n", + " Updates (width, height): \u001b[35m-53.34006500, -53.94\u001b[0m\n", + " Params (width, height): \u001b[34m10724.27539062, 14321.11\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m14.44\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 42\n",
+       "        Gradient (width, height): -0.01927110, -0.00218\n",
+       "        Updates (width, height): -55.31745911, -54.14\n",
+       "        Params (width, height): 10668.95800781, 14266.97\n",
+       "        Figure of merit:          19.12\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 42\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.01927110, -0.00218\u001b[0m\n", + " Updates (width, height): \u001b[35m-55.31745911, -54.14\u001b[0m\n", + " Params (width, height): \u001b[34m10668.95800781, 14266.97\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m19.12\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 43\n",
+       "        Gradient (width, height): -0.01785915, -0.00188\n",
+       "        Updates (width, height): -55.81810379, -53.01\n",
+       "        Params (width, height): 10613.13964844, 14213.96\n",
+       "        Figure of merit:          21.83\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 43\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.01785915, -0.00188\u001b[0m\n", + " Updates (width, height): \u001b[35m-55.81810379, -53.01\u001b[0m\n", + " Params (width, height): \u001b[34m10613.13964844, 14213.96\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m21.83\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 44\n",
+       "        Gradient (width, height): -0.00856924, -0.00012\n",
+       "        Updates (width, height): -51.23767090, -43.61\n",
+       "        Params (width, height): 10561.90234375, 14170.36\n",
+       "        Figure of merit:          23.07\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 44\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00856924, -0.00012\u001b[0m\n", + " Updates (width, height): \u001b[35m-51.23767090, -43.61\u001b[0m\n", + " Params (width, height): \u001b[34m10561.90234375, 14170.36\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.07\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 45\n",
+       "        Gradient (width, height): -0.00000923, 0.00016\n",
+       "        Updates (width, height): -41.47063828, -34.31\n",
+       "        Params (width, height): 10520.43164062, 14136.05\n",
+       "        Figure of merit:          23.41\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 45\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00000923, 0.00016\u001b[0m\n", + " Updates (width, height): \u001b[35m-41.47063828, -34.31\u001b[0m\n", + " Params (width, height): \u001b[34m10520.43164062, 14136.05\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.41\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 46\n",
+       "        Gradient (width, height): 0.00526189, 0.00056\n",
+       "        Updates (width, height): -29.17093086, -24.31\n",
+       "        Params (width, height): 10491.26074219, 14111.73\n",
+       "        Figure of merit:          23.38\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 46\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00526189, 0.00056\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.17093086, -24.31\u001b[0m\n", + " Params (width, height): \u001b[34m10491.26074219, 14111.73\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.38\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 47\n",
+       "        Gradient (width, height): 0.00846239, 0.00084\n",
+       "        Updates (width, height): -16.53853798, -14.46\n",
+       "        Params (width, height): 10474.72265625, 14097.28\n",
+       "        Figure of merit:          23.28\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 47\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00846239, 0.00084\u001b[0m\n", + " Updates (width, height): \u001b[35m-16.53853798, -14.46\u001b[0m\n", + " Params (width, height): \u001b[34m10474.72265625, 14097.28\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.28\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 48\n",
+       "        Gradient (width, height): 0.01004888, 0.00099\n",
+       "        Updates (width, height): -5.19536209, -5.62\n",
+       "        Params (width, height): 10469.52734375, 14091.66\n",
+       "        Figure of merit:          23.20\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 48\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.01004888, 0.00099\u001b[0m\n", + " Updates (width, height): \u001b[35m-5.19536209, -5.62\u001b[0m\n", + " Params (width, height): \u001b[34m10469.52734375, 14091.66\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.20\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "bc2f317e93c446378dafe824468a7b28", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
19:50:41 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m19:50:41 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
19:50:48 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m19:50:48 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f07540337c564e0fb341a2b6962a7141", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
19:50:49 EDT Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m19:50:49 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "32ecf88792374103a7c9800115738a8f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 49\n",
+       "        Gradient (width, height): 0.01049142, 0.00104\n",
+       "        Updates (width, height): 4.08193779, 1.78\n",
+       "        Params (width, height): 10473.60937500, 14093.43\n",
+       "        Figure of merit:          23.17\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 49\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.01049142, 0.00104\u001b[0m\n", + " Updates (width, height): \u001b[35m4.08193779, 1.78\u001b[0m\n", + " Params (width, height): \u001b[34m10473.60937500, 14093.43\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.17\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 50\n",
+       "        Gradient (width, height): 0.01011613, 0.00101\n",
+       "        Updates (width, height): 11.08839226, 7.49\n",
+       "        Params (width, height): 10484.69824219, 14100.93\n",
+       "        Figure of merit:          23.19\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 50\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.01011613, 0.00101\u001b[0m\n", + " Updates (width, height): \u001b[35m11.08839226, 7.49\u001b[0m\n", + " Params (width, height): \u001b[34m10484.69824219, 14100.93\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.19\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 51\n",
+       "        Gradient (width, height): 0.00908646, 0.00091\n",
+       "        Updates (width, height): 15.85871124, 11.50\n",
+       "        Params (width, height): 10500.55664062, 14112.42\n",
+       "        Figure of merit:          23.25\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 51\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00908646, 0.00091\u001b[0m\n", + " Updates (width, height): \u001b[35m15.85871124, 11.50\u001b[0m\n", + " Params (width, height): \u001b[34m10500.55664062, 14112.42\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.25\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 52\n",
+       "        Gradient (width, height): 0.00748362, 0.00077\n",
+       "        Updates (width, height): 18.48295593, 13.91\n",
+       "        Params (width, height): 10519.04003906, 14126.33\n",
+       "        Figure of merit:          23.32\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 52\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00748362, 0.00077\u001b[0m\n", + " Updates (width, height): \u001b[35m18.48295593, 13.91\u001b[0m\n", + " Params (width, height): \u001b[34m10519.04003906, 14126.33\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.32\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 53\n",
+       "        Gradient (width, height): 0.00543808, 0.00059\n",
+       "        Updates (width, height): 19.08587646, 14.79\n",
+       "        Params (width, height): 10538.12597656, 14141.12\n",
+       "        Figure of merit:          23.38\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 53\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00543808, 0.00059\u001b[0m\n", + " Updates (width, height): \u001b[35m19.08587646, 14.79\u001b[0m\n", + " Params (width, height): \u001b[34m10538.12597656, 14141.12\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.38\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 54\n",
+       "        Gradient (width, height): 0.00304159, 0.00040\n",
+       "        Updates (width, height): 17.77576065, 14.40\n",
+       "        Params (width, height): 10555.90136719, 14155.52\n",
+       "        Figure of merit:          23.41\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 54\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00304159, 0.00040\u001b[0m\n", + " Updates (width, height): \u001b[35m17.77576065, 14.40\u001b[0m\n", + " Params (width, height): \u001b[34m10555.90136719, 14155.52\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.41\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 55\n",
+       "        Gradient (width, height): 0.00062540, 0.00022\n",
+       "        Updates (width, height): 14.84896088, 13.01\n",
+       "        Params (width, height): 10570.75000000, 14168.53\n",
+       "        Figure of merit:          23.41\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 55\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00062540, 0.00022\u001b[0m\n", + " Updates (width, height): \u001b[35m14.84896088, 13.01\u001b[0m\n", + " Params (width, height): \u001b[34m10570.75000000, 14168.53\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.41\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 56\n",
+       "        Gradient (width, height): -0.00139564, 0.00010\n",
+       "        Updates (width, height): 10.87227535, 11.11\n",
+       "        Params (width, height): 10581.62207031, 14179.64\n",
+       "        Figure of merit:          23.39\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 56\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00139564, 0.00010\u001b[0m\n", + " Updates (width, height): \u001b[35m10.87227535, 11.11\u001b[0m\n", + " Params (width, height): \u001b[34m10581.62207031, 14179.64\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.39\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3fdac8edbb1449abb061172f693c601a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
20:30:05 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m20:30:05 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
20:30:08 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m20:30:08 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "28516d7b9b154110aeb67bb4a016aefd", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c899d38082c94818bec75c40e8c59d6d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 57\n",
+       "        Gradient (width, height): -0.00293582, 0.00003\n",
+       "        Updates (width, height): 6.40437555, 9.13\n",
+       "        Params (width, height): 10588.02636719, 14188.77\n",
+       "        Figure of merit:          23.35\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 57\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00293582, 0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m6.40437555, 9.13\u001b[0m\n", + " Params (width, height): \u001b[34m10588.02636719, 14188.77\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.35\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 58\n",
+       "        Gradient (width, height): -0.00364408, 0.00002\n",
+       "        Updates (width, height): 2.20824957, 7.51\n",
+       "        Params (width, height): 10590.23437500, 14196.28\n",
+       "        Figure of merit:          23.33\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 58\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00364408, 0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m2.20824957, 7.51\u001b[0m\n", + " Params (width, height): \u001b[34m10590.23437500, 14196.28\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.33\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 59\n",
+       "        Gradient (width, height): -0.00373159, 0.00003\n",
+       "        Updates (width, height): -1.26269996, 6.28\n",
+       "        Params (width, height): 10588.97167969, 14202.56\n",
+       "        Figure of merit:          23.33\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 59\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00373159, 0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-1.26269996, 6.28\u001b[0m\n", + " Params (width, height): \u001b[34m10588.97167969, 14202.56\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.33\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 60\n",
+       "        Gradient (width, height): -0.00351806, 0.00003\n",
+       "        Updates (width, height): -3.90299988, 5.29\n",
+       "        Params (width, height): 10585.06835938, 14207.85\n",
+       "        Figure of merit:          23.34\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 60\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00351806, 0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-3.90299988, 5.29\u001b[0m\n", + " Params (width, height): \u001b[34m10585.06835938, 14207.85\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.34\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 61\n",
+       "        Gradient (width, height): -0.00307318, 0.00003\n",
+       "        Updates (width, height): -5.68317890, 4.43\n",
+       "        Params (width, height): 10579.38476562, 14212.28\n",
+       "        Figure of merit:          23.35\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 61\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00307318, 0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-5.68317890, 4.43\u001b[0m\n", + " Params (width, height): \u001b[34m10579.38476562, 14212.28\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.35\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 62\n",
+       "        Gradient (width, height): -0.00289947, -0.00000\n",
+       "        Updates (width, height): -6.99089479, 3.55\n",
+       "        Params (width, height): 10572.39355469, 14215.83\n",
+       "        Figure of merit:          23.36\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 62\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00289947, -0.00000\u001b[0m\n", + " Updates (width, height): \u001b[35m-6.99089479, 3.55\u001b[0m\n", + " Params (width, height): \u001b[34m10572.39355469, 14215.83\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.36\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 63\n",
+       "        Gradient (width, height): -0.00243600, -0.00001\n",
+       "        Updates (width, height): -7.67522717, 2.81\n",
+       "        Params (width, height): 10564.71875000, 14218.64\n",
+       "        Figure of merit:          23.37\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 63\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00243600, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-7.67522717, 2.81\u001b[0m\n", + " Params (width, height): \u001b[34m10564.71875000, 14218.64\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.37\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 64\n",
+       "        Gradient (width, height): -0.00192742, -0.00001\n",
+       "        Updates (width, height): -7.81411791, 2.22\n",
+       "        Params (width, height): 10556.90429688, 14220.86\n",
+       "        Figure of merit:          23.38\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 64\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00192742, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-7.81411791, 2.22\u001b[0m\n", + " Params (width, height): \u001b[34m10556.90429688, 14220.86\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.38\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "abe18fb219f34b6eb1cc88fb9fc51a22", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
20:50:50 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m20:50:50 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
20:51:03 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m20:51:03 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "506b50146abd4616b8b677a68e8c8567", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
20:51:04 EDT Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m20:51:04 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "0e213f4226d746419302c328674f67bf",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 65\n",
+       "        Gradient (width, height): -0.00144937, 0.00000\n",
+       "        Updates (width, height): -7.53269100, 1.82\n",
+       "        Params (width, height): 10549.37207031, 14222.68\n",
+       "        Figure of merit:          23.39\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 65\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00144937, 0.00000\u001b[0m\n", + " Updates (width, height): \u001b[35m-7.53269100, 1.82\u001b[0m\n", + " Params (width, height): \u001b[34m10549.37207031, 14222.68\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.39\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 66\n",
+       "        Gradient (width, height): 0.00123429, 0.00019\n",
+       "        Updates (width, height): -5.01407385, 2.74\n",
+       "        Params (width, height): 10544.35839844, 14225.42\n",
+       "        Figure of merit:          23.43\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 66\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00123429, 0.00019\u001b[0m\n", + " Updates (width, height): \u001b[35m-5.01407385, 2.74\u001b[0m\n", + " Params (width, height): \u001b[34m10544.35839844, 14225.42\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.43\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 67\n",
+       "        Gradient (width, height): 0.00194270, 0.00025\n",
+       "        Updates (width, height): -2.36240768, 3.91\n",
+       "        Params (width, height): 10541.99609375, 14229.33\n",
+       "        Figure of merit:          23.43\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 67\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00194270, 0.00025\u001b[0m\n", + " Updates (width, height): \u001b[35m-2.36240768, 3.91\u001b[0m\n", + " Params (width, height): \u001b[34m10541.99609375, 14229.33\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.43\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 68\n",
+       "        Gradient (width, height): 0.00227142, 0.00028\n",
+       "        Updates (width, height): 0.07215215, 5.05\n",
+       "        Params (width, height): 10542.06835938, 14234.38\n",
+       "        Figure of merit:          23.43\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 68\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00227142, 0.00028\u001b[0m\n", + " Updates (width, height): \u001b[35m0.07215215, 5.05\u001b[0m\n", + " Params (width, height): \u001b[34m10542.06835938, 14234.38\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.43\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 69\n",
+       "        Gradient (width, height): 0.00226337, 0.00027\n",
+       "        Updates (width, height): 2.03945541, 5.96\n",
+       "        Params (width, height): 10544.10742188, 14240.34\n",
+       "        Figure of merit:          23.43\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 69\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00226337, 0.00027\u001b[0m\n", + " Updates (width, height): \u001b[35m2.03945541, 5.96\u001b[0m\n", + " Params (width, height): \u001b[34m10544.10742188, 14240.34\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.43\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 70\n",
+       "        Gradient (width, height): 0.00196211, 0.00024\n",
+       "        Updates (width, height): 3.37215114, 6.51\n",
+       "        Params (width, height): 10547.47949219, 14246.85\n",
+       "        Figure of merit:          23.43\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 70\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00196211, 0.00024\u001b[0m\n", + " Updates (width, height): \u001b[35m3.37215114, 6.51\u001b[0m\n", + " Params (width, height): \u001b[34m10547.47949219, 14246.85\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.43\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# set up the single patch radiation monitor sizes\n", + "obj_fn_monitor_dim_single_patch = 1.25 * np.mean(patch_init_wh)\n", + "obj_fn_monitor_center_y_single_patch = 0.5 * patch_init_wh[1]\n", + "\n", + "# set up where the directivity monitor will be placed\n", + "directivity_center_x = np.mean(sub_x_single_patch)\n", + "directivity_center_y = np.mean(sub_y_single_patch)\n", + "directivity_size_x = 5 * mm + sub_x_single_patch[1] - sub_x_single_patch[0]\n", + "directivity_size_y = 5 * mm + sub_y_single_patch[1] - sub_y_single_patch[0]\n", + "\n", + "# set ranges of theta and phi to record directivity for\n", + "theta = np.linspace(-np.pi, np.pi, 201)\n", + "phi = np.linspace(0, np.pi, 101)\n", + "\n", + "# set the optimization theta, phi grid that we can compute directivity for via\n", + "# a near field monitor and the field projector\n", + "num_theta_opt_points = 12\n", + "theta_opt = theta[\n", + " (len(theta) // 2) - (num_theta_opt_points // 2) : (len(theta) // 2)\n", + " + (num_theta_opt_points // 2)\n", + " + 1\n", + "]\n", + "phi_opt = phi # use the full phi sweep, but limit the theta points to be centered around 0 degrees\n", + "\n", + "monitor_directivity = td.DirectivityMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0],\n", + " size=(\n", + " directivity_size_x,\n", + " directivity_size_y,\n", + " 4 * mm,\n", + " ),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"directivity\",\n", + " phi=list(phi),\n", + " theta=list(theta),\n", + " far_field_approx=True,\n", + ")\n", + "\n", + "monitor_radiation = td.FieldMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"radiation\",\n", + ")\n", + "\n", + "monitor_far_field = td.FieldProjectionAngleMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"far_field\",\n", + " phi=phi_opt,\n", + " theta=theta_opt,\n", + " far_field_approx=True,\n", + " proj_distance=50 * wavelength0, # project far away form antenna\n", + ")\n", + "\n", + "single_patch_optimization_monitors = [monitor_directivity, monitor_radiation, monitor_far_field]\n", + "\n", + "initial_gain, initial_poynting_flux = compute_gain(\n", + " patch_init_wh,\n", + " params_to_boxes_single_patch,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " single_patch_optimization_monitors,\n", + " opt_freqs_single_patch,\n", + ")\n", + "\n", + "# set up the objective function for the single patch that is a function\n", + "# of the patch width and height\n", + "obj_fn = lambda patch_wh: objective_fn(\n", + " patch_wh,\n", + " params_to_boxes_single_patch,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " single_patch_optimization_monitors,\n", + " opt_freqs_single_patch,\n", + " initial_gain,\n", + " initial_poynting_flux,\n", + ")\n", + "\n", + "# get function to compute the gradient of the objective\n", + "obj_val_and_grad = value_and_grad(obj_fn)\n", + "\n", + "patch_wh = patch_init_wh.copy()\n", + "\n", + "# set up optimization parameters and optimizer\n", + "learning_rate = 30#40#50\n", + "optimizer = optax.adam(learning_rate=learning_rate, b1=0.8)\n", + "opt_state = optimizer.init(patch_wh)\n", + "\n", + "num_steps = 70#60#49#40\n", + "print_iteration_frequency = 1#4#1 # np.maximum(num_steps // num_optimization_prints, 1)\n", + "\n", + "full_eval_frequency = 8\n", + "s11_sq_dB_evolution = []\n", + "s11_f_ghz = None\n", + "realized_gain_evolution = []\n", + "theta_eval_evolution = None\n", + "\n", + "# set bounds on patch width and height in the optimization\n", + "clip_min_single = anp.array([patch_min_width, patch_min_height])\n", + "clip_max_single = anp.array([patch_max_width, patch_max_height])\n", + "\n", + "figure_of_merit_single_patch = np.zeros(num_steps + 1)\n", + "\n", + "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", + "# at each step and clipping the design on the bounds\n", + "for step_idx in range(0, num_steps):\n", + " f, g = obj_val_and_grad(patch_wh)\n", + "\n", + " figure_of_merit_single_patch[step_idx] = f\n", + "\n", + " if (step_idx % full_eval_frequency) == 0:\n", + " \n", + " s_matrix_eval, _, theta_eval, realized_gain_eval = evaluate_single_antenna(\n", + " patch_wh, freqs_s_params, opt_freqs_single_patch\n", + " )\n", + " s_matrix_f_ghz = s_matrix_eval.f / 1e9\n", + " s11_f_ghz = s_matrix_f_ghz.copy()\n", + " s11_data_selection = s_matrix_eval.isel(port_out=0, port_in=0)\n", + " s11_sq_dB_evolution.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", + "\n", + " realized_gain_evolution.append(\n", + " {\n", + " \"Gtheta\" : realized_gain_eval[\"Gtheta\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", + " \"Gphi\" : realized_gain_eval[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values\n", + " } \n", + " )\n", + "\n", + " theta_eval_evolution = theta_eval.copy()\n", + " \n", + " updates, opt_state = optimizer.update(-g, opt_state, patch_wh)\n", + "\n", + " patch_wh = optax.apply_updates(patch_wh, updates)\n", + " patch_wh = anp.array(patch_wh)\n", + " patch_wh = anp.clip(patch_wh, a_min=clip_min_single, a_max=clip_max_single)\n", + "\n", + " if (step_idx % print_iteration_frequency) == 0:\n", + " output_text = Text.assemble(\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", + " \"\\n\",\n", + " (f\"\\tGradient (width, height): \", \"\"),\n", + " (f\"{g[0]:.8f}, {g[1]:.5f}\", \"magenta\"),\n", + " \"\\n\",\n", + " (f\"\\tUpdates (width, height): \", \"\"),\n", + " (f\"{updates[0]:.8f}, {updates[1]:.2f}\", \"magenta\"),\n", + " \"\\n\",\n", + " (f\"\\tParams (width, height): \", \"\"),\n", + " (f\"{patch_wh[0]:.8f}, {patch_wh[1]:.2f}\", \"blue\"),\n", + " \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"),\n", + " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", + " )\n", + " console.print(output_text)\n", + "\n", + "figure_of_merit_single_patch[num_steps] = obj_fn(patch_wh)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we set up the objective function for our single patch optimization and use the `Adam` optimizer from `optax` to modify the patch width and height according to the adjoint gradient." + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the results of the optimization including the optimization trajectory and the resulting patch geometry\n", + "# compared to the initial state\n", + "plot_optimization_results(\n", + " figure_of_merit_single_patch,\n", + " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", + " params_to_boxes_single_patch(patch_init_wh),\n", + " params_to_boxes_single_patch(patch_wh),\n", + ")\n", + "\n", + "plot_antenna_evolution(s11_sq_dB_evolution, s11_f_ghz, realized_gain_evolution, opt_freqs_single_patch, theta_eval_evolution)" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6dd0c7bc3f994089834dc34dea490ba0", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
21:01:13 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m21:01:13 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
21:01:20 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m21:01:20 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "da2ab4b1dfc14060afe07d84f51b7f58", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "41a5878cb8d247b4a989e0e79d130ef0",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "50ac09f9b014494fbaa007e54f2441a6",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
21:02:30 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m21:02:30 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
21:02:37 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m21:02:37 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7d32cde4ccdb410fabd42186826de0a8", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "552166044e9343e28b975e59c8feed8a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABVEAAAKVCAYAAADGPqv/AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsnQV4FNf6xj+IewIECA7B3aG4Q6lA3d3dbt3bf/3W29vetrfUW+qKFSnu7u4Ocdf/857JWTZhk+wms7uzm/cH8+xkdnd25syZOee855NaxcXFxUIIIYQQQgghhBBCCCHEIbUdbyaEEEIIIYQQQgghhBACKKISQgghhBBCCCGEEEJIBVBEJYQQQgghhBBCCCGEkAqgiEoIIYQQQgghhBBCCCEVQBGVEEIIIYQQQgghhBBCKoAiKiGEEEIIIYQQQgghhFQARVRCCCGEEEIIIYQQQgipAIqohBBCCCGEEEIIIYQQUgEUUQkhhBBCCCGEEEIIIaQCKKISQgghpFK6desmtWrVkpCQEDl58qS3D6dGk5+fL5MmTZKJEydKs2bNJCwsTMLDw6VVq1Zy4YUXytdffy15eXnePkyf4rPPPlP1+9prrxV/IzMzU5o2baru4aKiIlP2ibLC4irDhg1T3/vnn3/E3fzwww/q9+Li4iQiIkKd/6uvvqruH0eMGjVKoqOj5ciRI24/NkIIIYT4JhRRCSGEEFIhy5cvl3Xr1ql1iHNfffWVW37nmWeeUQILXoljVq1aJe3atZPrr79efv/9d6lbt66cddZZcvbZZ0u9evXk119/lSuvvFLatm0rWVlZ3j5cYgFefPFFOXDggHqtXbtmdP3vvfdeufjii2XhwoXSt29fGTdunOzbt08efvhhGTFihGRnZ5/2nZdfflnS09Pl0Ucf9coxE0IIIcT61IyeFCGEEEKqzP/+9z/12rhx41J/E88LqIMHD5bdu3cr0XTnzp2yevVq+fHHH+X777+XZcuWyeHDh5UIhFdaozrPeeedJ5s3b5aXXnpJ/ImDBw/K66+/Ln369FFiu7f54osvVDlD2HQXmEh4++23JTIyUpYuXSrTp0+Xn376SbZv3y5dunSRBQsWyJNPPnna93r37q3uq88//1zWrl3rtuMjhBBCiO9CEZUQQggh5QJrxm+//Vatf/nll0qYWL9+vbJOJZ4DLsgXXXSRuh5w4//tt9+kZcuWp30uPj5eWRxCKELoBeIcMTEx0r59e0lISBB/4j//+Y/k5ubKDTfcIFYA4SdQzgg/4S5Q/8EjjzwiPXv2tG2HpTbKA7z33nuSmpp62ndRTsXFxUqEJYQQQggpC0VUQgghhFQYVzAtLU06d+4sw4cPl0suuaRSa1T7uIdr1qyR888/XwkYEPU6duyoLOMgVNiDzz/77LNqHa865qKjOJUFBQXyySefqN+pU6eO2i8Exdtuu032799/2vHgOLAffB5i5CuvvCKdOnVSsUThDo/jg3VcWfbs2aO+16JFC3W8H330kfTq1UvFV4ToNmbMGFm8eLHDMoBV6EMPPaQs7ho2bCjBwcHSoEEDOeecc2TmzJniKt98843s2rVL7eeDDz6o1C0bloc4P3sgwMJlGcJSVFSUErJQDk888YQkJydXeP6IpfnOO+9I165d1fcgNt56662SlJSkPguh7vnnn1cCGX63UaNGcs8996h4nBWFbdi7d69cffXVan+hoaEqDAG2O3K3xrVDKIkrrrhC/Q7iV+K3EN7g7rvvlkOHDlVaH+fPn6+uAcRmlCFioVYWExXXC9/B9QsKClIxNtu0aaPCJsybN++0z6N+fvjhhzJgwABVT3Be+DyOEZahlcUYhdXkoEGD1Pmhrg0cOFCmTJkirgJL5I8//ljdH5deemmF1xfHjHih+r7A/Qp3+C1btlT6O64cr7tjoqJ89QTP5Zdfftr7OE7Eh0V9dXSMsNbFuWPiSNdtQgghhBAbxYQQQggh5TB48GConcVvvPGG+nvhwoXq75iYmOKsrCyH3xk6dKj6zCOPPFIcHBxc3KFDh+JLL71UbQ8ICFDv3XPPPaW+c8011xR369ZNvYdX/K2Xjz/+2Pa5tLS04mHDhqnPRUZGqn1eeOGFxe3atVPb6tatW7xq1apS+54zZ456b8CAAcWjRo0qDg8PLx43blzxBRdcUNy0aVP1XmxsbPHu3btLfQ9/473mzZur4wgKCioeMWJE8cUXX1zctm1b9V5ISEjxkiVLTiuDkSNHFteuXbu4S5cuxePHjy++6KKLinv27Km+g+Wtt95y6Tqcd9556nvnnHNOcVU4efJkcffu3dU+oqOji88991x1/vXq1VPbWrZsWeH5X3bZZcVhYWGq3CZOnFhcv3599V6PHj2KMzIyigcNGmTb79lnn63qB94/88wzTzuWp59+Wr139dVXq+vVoEEDVT74XkREhHpv4MCBxdnZ2aW+t3//flvd69+/v/oOyrZRo0Zqe3x8fPH27dvLrY+33367uiYdO3ZU9XHMmDHF33zzjfrMpEmT1Gdwne357LPPimvVqqWWfv36FV9yySXqHHEtUZfL1uOcnBxVx7Cv0NBQdf74jq5nKO+VK1eedoy6Xjz11FPqt3D++J6+J7Dt559/dumaz549W30X18YR9tf3/PPPV/Ubx46yadWqle0eW7RokWnHq68F7kl38Mcff6j916lTp9J76cEHH3T4Pp4neF/XDUIIIYQQDUVUQgghhDhk69atSkyAuHLs2DHb9vbt26vtX3zxhcPvaaEEy4cffljqvVmzZimBBQIURDFH4hpey+Pyyy9Xn4HgdvTo0VLvvfnmm+q9Nm3aFBcUFJwmomrR7/Dhw7b3INSNHTtWvXfzzTc7FJm00ITy0GD/119/vXoPYlxZpkyZUnzo0KHTtkOQgtiIMj1w4ECxs2gR7rnnniuuChC48H0IgSdOnLBtT09PV0KfFpnLO//ExMTiPXv22N7DPlDOeA9Ccd++fUvtd9euXcVxcXHq/QULFji8zlgmTJhQSoxHndACNUR4eyCg//bbb8W5ubmltufl5RU/+uij6jsQVSuqj++//77D8ilPRIW4jO3z588/7Tuof2UF+4cffthWXvaiNI7xhhtusAnWZc9BHx/E/LKivC4vlIsrPPHEExWKhfbXF+Lu2rVrS9Xvu+66y1b3IQ6bcbzliaj296grS9nr9c4776jtmDAoj7vvvlt9BmKpIzBhhPdxvQghhBBC7KE7PyGEEEIc8umnn6rXc889V7k/a5AZ3pkEU3CTv+WWW0ptQ2bssWPHSmFhocyZM8el44HLPdxs4SoO9/b69euflpF7/PjxKoHM1KlTT/s+3IgnTZqk3Os1cLXWYQQqcrN/9913lau5JiAgQF544QW1PnfuXOVqbs+ZZ57pML7mGWecIXfccYf6POKaOsvx48fVa9lzdgZkJUdYBpw/QhIghIEGMW7h8o1yWLRokVocAVf+5s2b2/7GPhA+AWzYsEHVBfv9IrwC3N3BrFmzHO4TbuNwe7cPO9CkSRMV7gEgfmVOTo7tPYQgQF1ESAN74GKPOJioF9OmTVMZ1h2Bunf77beLKxw9elS55MMNvCy4Fj169LD9jWN9//331fqbb76p3OTtjxFliJAASAyGZGCOeO6556Rfv36ltiFRGI5h27ZtDsNVlAeSjoEOHTpU+lmEdECoBvv6/dprr6lkcgi5AJd9dx4v7slrrrnG5aXsddHXHmEFygN1HiBMiSMQ0kAnciOEEEIIsSew1F+EEEIIISVxHZGl2l401SCG5WOPPabiQSJDfGJiosN9II6kIyDqQOwqLz5keSCGIYzgIFBCUCsv5iI+BzEQmbbLJrXp1q2bw+MB5R1PYGCgjBs3zqHwg/iYiCd68uTJUuIswLa//vpLiYz4jBZaIfKCrVu3iifAdUJMU8RCtRfKNBDKIGxD1IWwjVieZc8f8V/LgjifulwRM7e898uLVYp9li0zgOsGQRblByGr7PEgczqEWYiRiLmKc9N1Fus7duwoJW5qLrzwQnEVxLRF/E7UecR4xX7Li0e7YsUKycjIUHF6HdV9xJJFbFIkLUI5O4rZ6eh7iGnaqlUrJYqijiKmp7MCMLAXt8sDgqSj30UM5DfeeEOVgTuPFzFudXxab6PLS5cfIYQQQoiGIiohhBBCTgPi35EjR2wCmz2wpoPF5++//66sVbVFZlkgrjkCCWiAvZWhMyCxEoDVY2VWsNpy05XjQbIZR8CiFJaE5X0XAmnZc4F153333ecwsZKmPEs4R8ASGFZ9x44dE1fR4jCsQ8tDC+GOhGScP4TU8iz6yitXLXSXd50rOh5YcUJEPXDggG0byvKqq66SX375RSqivHK1twx1FljDQtT98ssv1YJzQtIuWLXiWOzPvbrlbPY9o7PP6++WR2xsrFococ/F/jq463jNQNe5iu47CN0VlYve7ijZGiGEEEJqNhRRCSGEEHIaWqSECDJ06NDT3tciEKzH4NIL99+yVJZB3lW0xWH37t0dWpTaU9bFuDrH4+r3Vq5cqcIYoExeeeUVZa0HsQmWiNqlHu8boSWdo1evXkpE1ZnHPUll52/2dbbHvozgJg4BFVaLL7/8shIzkUldu/fDYnXx4sXllqt92ABngZUyLIZnzJghs2fPVhbO8+fPV+uo97hPdNgCMzCzLLUw6opYXx7llalZx7tlyxZ1TV0F7vw33njjaUJ5RWEE9HvliepafIaVOSGEEEKIPRRRCSGEEFKKw4cPK5d4AGvAhQsXlvtZuGrDNf+ss85y+3Fpt+CBAwfKe++9J1YF8UchOt11113y0EMPnfa+dud3hQkTJsivv/4q06dPV27GsAZ2FlgT21vyOkK/pz/rCeCOXx579uyxxUjVfP/99+p18uTJDsMSVKVcnQFWuLC8xqJFSbi4I5YuxPDzzjtPxeDUZVfReXmynHX8XNzDFZGSkqIWR9aojq6DO4DVuw4f4ir2IqoO44BzxnVwZBWMsAsA4S0cocvLlXuMEEIIITUDJpYihBBCSClgXYrET7DmhBhY3qIFwspc651FWxQitqUjEAsVIIyAp92EXSEpKUm92idi0uC4y0vSUxFXXHGFspzLy8tTCZ20VW5F1rDZ2dlqfciQIcpicM2aNSqeqCPRHEI4GD58uHgKWHc6Ck8AAR9CFlyzYYHrTLlCXD5x4oR4Arh7P/PMM0p0zMrKUgmUQO/evVWIAxwn6mhZcD2+++47j5WzFgk3bdpU6WcRqqAsqGsQrHWsYXeC/Vf0rClvKRtHFWIvLJQBks+VZcGCBcoSFXFbtSheFsQwBvZ1jxBCCCEEUEQlhBBCSCkQ57S8ZDP2INkO+PPPPx3GIHUVbe22ceNGh+/DyuyCCy5QIsj5559vs5KzB7EQv/76a68mhdGJqmBZZ58pHgIqssNXZKlYHojJCkvM0NBQ5dI+ceJEh/uBgPfkk08qa10d4xWhBC666CIlOsFy0t4yEeV18803q2ODO3zZJE7uBKIiBGEt9mrL5gceeECt33rrrep8y5bru+++W2o/cLfHZ80GAiksTh3Vbbj0w3oTIRt0vcWx3nHHHWod54Cs9hokFUNiKlhcwjqyKkmuXEULtQhxUBnPP/+8TTwEEOkffvhhFQsVFuC473wFJL0DCA+AxGQa1Hvcf+DOO++UmJgYh99HyAaAuLeEEEIIIfbQnZ8QQgghNubOnauym8NSC5nEK6JTp07K2g1CxRdffGETv6oKEljBLRpu64h1iOzuEKkgCF533XXqM5MmTVLi1dSpU6Vdu3YqNipEKQiEEFVhaQkLus2bN3vNHRfHigzsyE6OYxs8eLA6DwhvEAwhpuF9V4GF3bx585Qg+scffyjxGsIyMqHD0hSiHVyVYUWMbbiGmvfff1/FnVy6dKlKbgSBDW7quN4QCXGcEJ89CUR4nAOOFWUEIRexRiHsnnHGGcpd3p6nn35aiY8QiSEoo/7BkhXliu83atTIJoCZAeoR6vSDDz4oXbp0UfURYjbq2ZIlS9RnHn/8cZX0S4NjxjWYNWuWEn1RzrCohZC5b98+lfkd4R601bU7wX2DY8PxlOeur0V2WF3iXoZFKI4RsXd37typ7kdYdNqL2VYHEwx33323vPPOO9K/f38ZOXKkOg9cE5QDygWisSMgduMew/mWTahHCCGEEEJLVEIIIYTY0K75SIbkTGIVbY1qhks/RE+Io6NGjVIuyBBmsV8IfRoIUnADh7CDz0GYgmUmxDcIlHB7x986C7o3gFgF4QpWb1jHOUFEGzNmjBKckRirqkBIhfv4J598orLGw+IWgircxyEoIj7nt99+qwRT+0RKEMYgML700ktKMEUZQsBEYiZY7sH9vyrZ66sDjgPlBKERwhVc8hMSEuSpp56SmTNnnpYICtbHqAsQxRCCQJ8zXOtRxhA4zQSu+R9++KFccsklyqr377//VgI/fhPHAlGurNAL4RqhEf7zn/8ogR8CL+ojjg0xciHye8pNHELtTTfdpI4ddaI8kOwMojTKEVbeOF5kpof16bJly9SEhq+BSQqEIoAYj3qPEBGwGIZ1Kp4V5SUZwz2BsBCXXXaZ1KlTx+PHTQghhBBrU6vYldSwhBBCCCGEVAOIdRAfYVmKdeI+Dh48qCYUOnfubEuopIFFLYRsxJh1FBqjJoLJo7/++qvakx2EEEII8U9oiUoIIYQQQogf0rhxYxWSAJbGsLIk5YMQBigjxIKmgEoIIYQQR1BEJYQQQgghxE9BuAa4siN+KxJGEcc8+uijKlwIQl4QQgghhDiCiaUIIYQQQgjxU5BUCbFOScUgDi8hhBBCSEUwJiohhBBCCCGEEEIIIYRUAN35CSGEEEIIIYQQQgghpAIoohJCCCGEEEIIIYQQQkgFUEQlhBBCCCGEEEIIIYSQCqCISgghhBBCCCGEEEIIIRVAEZUQQgghhBBCCCGEEEIqgCIqIYQQQgghhBBCCCGEVABFVEIIIYQQQgghhBBCCKkAiqiEEEIIIYQQQgghhBBSARRRCSGEEEIIIYQQQgghpAIoohJCnGb58uUyYMAAiYiIkFq1asmaNWscbn/rrbfU6549e1za/2effVal7xFCCCGEEEIIIYS4E4qohFSBdevWyRVXXCGNGzeW4OBgadiwoQwaNEieffZZt//2zp075ZZbbpFWrVpJaGioREdHy8CBA+Xtt9+W7Oxst/1ufn6+XHTRRZKUlCRvvvmmfPnll9K8eXOH24uLi8XKLFq0SJ555hlJSUnx9qEQQgghhBBCCCHEB6hVbHW1gxCL8fPPP8tll10mzZo1k6uuukoaNWok+/btk5kzZ8rx48dl+/btbvvtv/76SwmWISEhcvXVV0vnzp0lLy9PFixYID/99JNce+218tFHH7nlt7ds2SIdOnSQjz/+WG688cYKtxcWFipxFccJy1Jnqer3XOXf//63PPjgg7J7925p0aKF236HEEIIIYQQQggh/kGgtw+AEF8iOTlZrr/+eunTp4/Mnj1bWaFqnnvuOTl06JDbfhuC36WXXqqsP/HbCQkJtvfuuOMO2bFjhxJZ3cWxY8fUa2xsbKXbAwIC1OIqVf0eIYQQQgghhBBCiDuhOz8hLgBr09TUVLnhhhtKCagaWKW6i1dffVUyMjLkf//7XykBVdO6dWu55557bH+vXr1azjzzTOXuHxkZKSNHjpQlS5ac9r2DBw8qYbhBgwbKArRTp07y6aeflvoMLFyHDh2q1mEJCyvRYcOGlbu9vNim+C2UHcoJv9WyZUu57bbblDUtqOh7lR0j3PPxXYjJOC6IujExMXLddddJVlZWqc/BChXg9/EdxmElhBBCCCGEEEJIRdASlRAXyMzMtMVE9TR//PGHioOKBE6VsXHjRhk8eLASUB966CEJCgqS//73v0rgnDt3rvTr10997ujRo9K/f38lIt55550SHx8vU6dOVUJnWlqa3HvvvepziMGK+K8vvvii3H333coSF4ImxFlH2yF6lgVWun379lVxSG+++WZp3769+tyPP/6oRE5HorQrx6i5+OKLlTj60ksvyapVq+STTz6R+vXryyuvvKLeP//882Xbtm3y7bffqhiu9erVU9uxX0IIIYQQQgghhBCHICYqIcQ59uzZUxweHo44wsVt2rQpfuihh4pnz55dXFBQ4NbfTU1NVb85YcIEpz4/ceLE4uDg4OKdO3fath06dKg4KiqqeMiQIbZtN9xwQ3FCQkLxiRMnSn3/0ksvLY6JiSnOysqybZszZ446hh9++KHUZx1tnzRpktq2e/du27arr766uHbt2sXLly8/7XiLiorK/Z6zx/j000+r715//fWlPnfeeecV161bt9S211577bTfIYQQQgghhBBCCCkPuvMT4gKIR7p48WJl7QjLSrjYjxgxQlmIwtXfXcDiEkRFRTmVnGnGjBkyceJEdVwahAC4/PLLVRIq7A855ZCM6pxzzlHrJ06csC1jx45VYQtgyWkGRUVF8uuvv6rf6t2792nvl5dEqirHeOutt5b6Gxa5J0+etJUhIYQQQgghhBBCiKtQRCXERbp27SqTJ0+WpKQkmTNnjoq5uX//fpX0Scfe/OCDD6Rnz57KjR4xOO2p6L3ygFs+SE9Pr/Szx48fV8fRrl27097r0KGDEjRxvPgcXOs/+ugj5cpuv+Cc7JNGVRf8FkTMzp07u/w9V4+xWbNmpf6Oi4uzJQUjhBBCCCGEEEIIqQqMiUpIFUEMT8QYxQKx788//5StW7dKjx49lNUnBNJvvvnmtO9V9F5FIiqSMW3YsMG044eYCq688kq55ppryhWMvUlVjjEgIMDh52DJSgghhBBCCCGEEFIVKKISYgLIGA+QDR7AlR5MmTLltM9W9F5FnH322coiE+EEzjjjjHI/ByvN8PBwJeiWZcuWLVK7dm1p2rSpREREqPAAcP8fNWqUuBMcE4RgV0VgfM8dx1he+ABCCCGEEEIIIYQQR9CdnxAnQSzR7Ozs07avW7dOpk2bpixQ7WOQms1DDz2khM8bb7xRZawvy86dO+Xtt99WlphjxoyR3377Tfbs2WN7H9+B9eugQYOUoInPXXDBBSrmqCNxE9a1ZgHhFuLxH3/8IStWrHDaStRdx4hyBAgVQAghhBBCCCGEEFIZtEQlxEkeeeQR2bZtm1x00UXSrVs3KSgokDVr1siXX36pLFDx6k4SExOVCHrJJZeo2KZXX321ijGal5cnixYtkh9++EGuvfZa9dn/+7//k7///lsJprfffrsEBgbKf//7X8nNzVXJsDQvv/yyiuvar18/uemmm6Rjx44q1iuSNSFRFtbN4sUXX1QJr4YOHSo333yzOofDhw+r44ZAHRsb6/B77jjGXr16qdfHH39cxbJFfFokr9LiKiGEEEIIIYQQQog9FFEJcZIHHnhACX4QAj///HPlYt6yZUu566675MEHH1Su5+7m3HPPVZavr732mrI0RZIqhBJAXNDXX39diYygU6dOMn/+fHn00UflpZdeUrFFIUJ+9dVX6lXToEEDWbZsmTz33HPy888/y3/+8x+pW7eu+v4rr7xi6rE3btxYli5dKk8++aR8/fXXKtEUtp155pkq/EB5uOMY+/TpI88//7x8+OGHyooY5bN7926KqIQQQgghhBBCCHFIrWJmWyHEbdx6663SsGFDlUjKlfcIIYQQQgghhBBCiHVgTFRC3ABc/XNycpS1qv16Ze8RQgghhBBCCCGEEOtBS1RC3ACsS5999tlS2yZNmqRillb0HiGEEEIIIYQQQgixHhRRCSGEEEIIIYQQQgghpALozk8IIYQQQgghhBBCCCEVQBGVEEIIIYQQQgghhBBCKoAiKiGEEEIIIYQQQgghhFRAYEVvktIUFRVJcXGR1JJaIrVqeftwCCGEVJfiYsG/WrVqS+3anFckhBBCCCGEEOIYiqguAAE1JTnZ24dBCCHEZGLj4uicQQghhBBCCCGkXCiiukQt22AbVktVobCwUJYuXSr9+vWTgIAAk4+vZmJ2mWZlZUlCQoJaP3z4sISHh0tNg/XUfFim1izTU5Nj9C4ghBBCCCGEEFI+tYqLi4sreJ+UcedPTjopcXXq0u3Tj8nMzJTIyEi1npGRIREREd4+JEKIm+BznRBCCCGEEEKIM3DE6IUB+969e9UrMQeWqfmwTM2HZWo+LFNCCCGEEEIIIZ6CIqqHwWD/4MGDHPRbvEzhwl8T3fg1rKfmwzI1H5YpIYQQQgghhBBPQXd+F6DbJyGE+Bd8rhNCCCGEEEIIcQaOGL2QCGXHjh3qlZgDy9R8WKbmwzI1H5YpIYQQQgghhBBPQRHVw8DwNzk5Wb0Sc2CZmg/L1HxYpubDMiWEEEIIIYQQ4inozu8CdPusGeTk5MgFF1yg1n/66ScJDQ319iERQtwEn+uEEEIIIYQQQpyBI0YPA7fTLVu20P3UwmWK/UyZMkUtNfU6sZ6aD8vUfFimhBBCCCGEEEI8BUVUL5Cdne3tQ/A7WKbmwzI1H5ap+bBMCSGEEEIIIYR4ArrzuwDdPmsGmZmZEhkZqdYzMjIkIiLC24dECHETfK4TQgghhBBCCHEGjhg9DNxON2zYQPdTE2GZmg/L1HxYpubDMiWEEEIIIYQQ4ikoohJCCCGEEEIIIYQQQkgF0J3fBej2WTOgOz8hNQc+1wkhhBBCCCGEOANHjB4GbqerV6+m+6mJsEzNh2VqPixT82GZEkIIIYQQQgjxFIEe+yViIywszNuH4HeYWaawPKWBNuupO2CZmg/LlBBCCCGEEEKIJ6A7vwvQ7ZMQQvwLPtcJIYQQQgghhDgDR4wepqCgQJYvX65eiTmwTM2HZWo+LFPzYZkSQgghhBBCCPEUFFE9TK1atSQuLk69EmuWaU5Ojlx00UVqwXpNhPXUfFim5sMyJYQQQgghhBDiKejO7wJ0+6wZZGZmSmRkpFrPyMhQMVIJIf4Jn+uEEEIIIYQQQpyBI0YPA7fTRYsW0f3URFim5sMyNR+WqfmwTAkhhBBCCCGEeAqKqB4Glk6NGzemxZOJsEzNh2VqPixT82GZEkIIIYQQQgjxFHTndwG6fdYM6M5PSM2Bz3VCCCGEEEIIIc7AEaOHgdvpvHnz6H5qIixT82GZmg/L1HxYpoQQQgghhBBCPAVFVA8DS6fExERaPJkIy9R8WKbmwzI1H5YpIYQQQgghhBBPQXd+F6DbZ82A7vyE1Bz4XCeEEEIIIYQQ4gwcMXoYuJ3Onj2b7qcWLtPw8HAlnmLBek2E9dR8WKbmwzIlhBBCCCGEEOIpAj32S0QBS6fOnTvT4snCZVqrVq0ab33Kemo+LFPzYZkSQgghhBBCCPEUdOd3Abp9EkKIf8HnOiGEEEIIIYQQZ+CI0cPk5+fL9OnT1SuxZpnm5ubKtddeqxas10RYT82HZWo+LFNCCCGEEEIIIZ6ClqgetljCPlJSUiQ2NpZWTyZhdpkysRTrqTtgmVqzTGmJSgghhBBCCCHEGRgT1cNgkF6nTh1vH4ZfwTI1H5ap+bBMzYdlSgghhBBCCCHEU9DsxsPA7fSvv/6i+6mJsEzNh2VqPixT82GZEkIIIYQQQgjxFHTn97DbJ4o7PT1doqKiVBZ4Un3MLlO687OeugOWqTXLlO78hBBCCCGEEEKcge78HgYD/ejoaG8fhl/BMjUflqn5sEzNh2VKCCGEEEIIIcRT0OzGw8Dt9LfffqP7qYmwTM2HZWo+LFPzYZkSQgghhBBCCPEUNVJEff/996VFixYSGhoq/fr1k2XLlnnstwMDA2XMmDHqlZgDy9R8WKbmwzI1H5YpIYQQQgghhBBPUeNE1MmTJ8v9998vTz/9tKxatUq6desmY8eOlWPHjnnsGDjgt3aZhoeHq/qABes1FdZT82GZmg/LlPgLe/bsUSEqPvvsM9u2Z555xisxlPGb+G0rlYUZvPbaa9KqVSsJCAiQ7t27i6+AckB5rFixwtuHQgghXoft5SnYXprXfg4bNkwthFRGjRNR33jjDbnpppvkuuuuk44dO8qHH36ohLJPP/30tM/m5uZKWlqabUECE52IBBQWFqql7HpBQUGpdf15rOfl5cmUKVMkJyfHth2uqPbrOteXXsdSdh3Yr+P79uv4rYrWcXz2647Ow9lzcrTuyXNCWaJMcb3MOCdsq1u3rsTHx6v1mnidsrOzVZlim7+ck7evE+onyhSf85dz8vZ10s9Tvd+qnhMhZTvbeoFI37hxY7n22mvl4MGD3j48S4L+0QsvvCC9e/eWmJgYCQkJkebNm8sll1wif/31l1iFGTNmyEMPPSQDBw6USZMmyYsvvuiR350/f75cfPHFqh4FBwerMoIX1HPPPSdHjx4t9dn//Oc/pg+EywPPTm8O/Akhvg3bS9dhe2lee0mIN6lRIioG3CtXrpRRo0bZtiEbM/5evHjxaZ9/6aWX1M2rlyZNmqjtGzZsUK+bN29WC1i3bp1s375dra9evVp2796t1hEqYP/+/Wp90aJFcuLECRk/frz6PayD2bNnS0pKiu2hpcVaLbZi0K+FAi0YAnwOnwf4PvYDsN958+ap9cOHD6vfBTgOHboAx4fjBDhuHH9Vzwm/AfCb3jgnHBvK9MCBA35zTt6+Tn///bcMHz7cdn7+cE7evk54bd26tepk+ss5efs6ZWRkqLAsKNPqnBMhZUGH/csvv1QTrWeeeaZ89dVXMnToUFUXPckTTzyhJrWsyo4dO6RHjx7Ku6dly5by/PPPywcffCDXX3+9so45++yzVTm6CgaVOO+rrrrKtGPFMwd9vv/9739y9dVXq36Du3nqqadkyJAhqu8JYQFlg8Fop06d5PXXX5cBAwZ4VUR99tlnPfJbhBD/he2lc7C9NLe9dAcYX+gxBiEVUlyDOHjwIEydihctWlRq+4MPPljct2/f0z6fk5NTnJqaaltSUlKKTxw/Vpyfn6/eLygoUEvZdbxvv15YWFhqe1ZWVnFeXp5te9n1oqKiUutYyq4D+3V8335dH2N56ziOys7D2XNytO7Jc8JnUKbYZsY5ZWRkFN92223Ft99+u1qvidcpNze3ODMz03a8/nBO3r5OeB/1Cb/jL+fk7euE30tLS1PbqnpOeB/PdX0spGYzadIk1U9Yvnx5qe0PP/yw2j558mS3/fbu3bvVb+AYvA2O4+mnn67wM7iXOnfuXBwREVG8YMECh5+ZPn168ZQpU4qtwHXXXaeO1Szw3EHfozy+++47VY4XX3yxalPLgj5l2TLu1KlT8dChQ52ul9XhjjvuUPskhJCqwPbSgO2ld9pLZ3FH+0lIjbJEdRWY2EdHR9uWqKgotR0zMwAxQrCUXYdVlP26/jzW4VqqZzj09qCgoFLrOp6LXsdSdh3Yr+P79us6TmB56zg++3VH5+HsOTla9+Q5AZQp2jEzzglg9gsWITX1OuEV1qhwd/aXc/L2dUL9nDlzprKs9Jdz8vZ1wvMUs+Uo0+qcEyGVMXjwYPW6c+fOUtu3bNkiF154odSpU0dZRcNF7/fffy/1maSkJPnXv/4lXbp0kcjISNWfgLXO2rVrK/3dsjHeYJ1h7z5pv9i7ZiN8CKxdYP2OvkzTpk2Vax6224O/77vvPhW+Bn2cc889V3l1OMMPP/ygPHOefPJJ5fLnCCR+w7m6WhaOYrzh3PEduIlOnDhRreO4sb/KQnNgX3BJzMzMtJWX3jeeH7AISkxMVGWFxKOPPfbYaWWF7bAUmj59urrOYWFh8t///rdCq5p69eopSx64JZYFHk721wz737hxo8ydO9d2jGVjs+GYENcf5x0RESHnnXeeHD9+/LR9T506VdVZfAbX9ayzzlL7ti9LJFnVZaMXzb///W9l9YPQRjjPXr16yY8//lhhGRNCCGB7eTpsL81tL+1/AxoAYraiTiFU488//+zwN5xpPxkTlThLjcrIgZsTg+ayMTXwd8OGDT1yDBj8T5gwwSO/VVNgmZoPy9R8WKbmwzIlngKDFBAXF2fbBlEKgyHE7nrkkUdUp/z7779XA5affvpJddDBrl275Ndff5WLLrpIufChz4HBBNwdN23aJI0aNXL6OG655ZZSIYnAtGnT5Ouvv5b69evbJhcwuFuwYIHcfPPN0qFDB1m/fr28+eabsm3bNnUsmhtvvFG5Xl5++eVKNMOkBAQ3Z/jjjz/U65VXXun08Ve3LDD4QzJQxEiD0IeJKbj5YUB32223lfs9uEh+9NFHKrTHJ598orZp10CUweeff64G9w888IAsXbpUhXNC2JJffvml1H62bt0ql112mboOiK/frl07h7+HcsaCfWPw6gxvvfWW3HXXXerzjz/+uNrWoEGDUp/B+6iDGPCjTuI7d955p0qaan+u11xzjSqnV155RbKystTE8KBBg1Q4Eww8cfyHDh1Sk6WO3EfffvttVYeuuOIKFQrru+++U9fszz//dLp+EEJqJmwvT4ftpbntpQahuRBP9tZbb1XtHsRflBeu8+jRo11uPwlxmuIaBtz277zzTtvfcOFs3Lhx8UsvvVTpd81w+4Q5O0IDaNdVUn3MLlO4XOPWwIL1mgjrqfmwTK1ZpnTnJ47cvmbOnFl8/Pjx4v379xf/+OOPxfHx8cUhISHqb83IkSOLu3TpokL/aFAXBwwYUNymTRvbNrxftn7BFRH7e+655yp0T4T7WkVdte3btxfHxMQUjx492hZO48svvyyuXbt28fz580t99sMPP1T7Wrhwofp7zZo16m+ErrHn8ssvd8o9sUePHsWxsbGnbUe7ibLTC+5RM8rimmuuUdvsP6ePo1evXhUeq/5+WfdEXQY33nhjqe3/+te/1PbZs2fbtjVv3lxtmzZtWqW/9dtvv6nPvvXWW6W2o37Ylw0WHWLEGXf+UaNGlXre3XfffcUBAQHK1RGkp6era3LTTTeV+v6RI0dUPbHfXpE7f1m3S4RQgSvqiBEjKj13QkjNgO0l20tvtpf6N3766SfbNpRfQkKCOk9X20+A9tdRG0xIcU1354cZ98cff6xmUTBrgpkYmKtfd911Hvl9mMEj85zOEE2qD8vUfFim5sMyNR+WKXEXsF6Byxfc+mBxAasZuB3qBJNws4MVCrLIItkZEpthOXnypLL8gHWEzk4MlzcdugKWIfgMrC1glbFq1aoqHyP6LrDegWXFt99+awtPAbdBWNO0b9/edlxYRowYod6fM2eOetXJ2u6+++5S+7333nudzjLsyGoEVpQoO73AakdjRlnA4qSs6ygsdqqCLgP0De2BhQ0omy0Z1kC4vs6UDShbPqmpqaXKBsuaNWucPl5YStm7q+LcUY579+5Vf8OyFAn7YP1jf+1RN2CNpK99ZcD1UpOcnKyOG79VnfpKCPFP2F5WDttL97SXsMbVVswAIQ+QCAteF0eOHHGp/STEFWqUOz+AyTfiXyD2Bm4uxNCAyXdZlyl3up/SFcpcWKbmwzI1H5ap+bBMibtAvMi2bduqTvynn34q8+bNUwMa+yy7iHOM+GZYHHHs2DHlugh3QbhHI8727t27S8UjQ8zJqgL3OMScW7RoUan9YECKSWIMOMo7LoCBAwZocO2zpzyXu7IgJhwGdWW5/fbbVZwyR66L1S0LxDwre14YFEPoqwq6DBALzx6EeIqNjT1tcIVBoTPoGPoZGRmltmOQCKETII7ba6+95tLxNmvWrNTf2l1Wnz+uPdACQFkwwHQGuO3/3//9nxqw2se6sx+AEkIIYHtZOWwv3dNe4ljKtkuoiwAu+/bhGitrPwlxhRonogLEv8DiDfBAhJUAHjb2iYxI1WGZmg/L1HxYpubDMiXuom/fvioZAkDMNsSThIUIYnyhY4+6B5CkoTxLCz3QePHFF9XA8frrr1cJGZBUA/UVFix6P66CgRWsaRCfDZPB9mCfSETxxhtvOPwurIXMAJY7ENlgQYTBr/0ARg9iMIizp7pl4a5kcM6Kg/YWmpWVDUAiEXuQ2E7H6HM2IYkz528kiDauvY5p5yjWv06sVxGw7keMwCFDhqjBe0JCgpqwQqy5b775xuVjJoT4N2wvK4ftpefbS1fbT0JcoUaKqN4Es0jLly9XVgIc9Hu/TPMLCyQ7L8duyZWklFMzhb8snyEFtYrUe4VFRVKMUKl41tYSCagVIAG1a0vtWrXV72I9oHaAFBUXqc8WFRVKUXGxFBYVGn+r7YVSS2pJREi4RIZFSGRIuESHRUh0eJTEhEUar+FREhTg3VuT9dR8WKbmwzIlngAdbyROGD58uLz33nsqKUarVq3UexCXyiauKAuymuO7yDprDyYAkPDSVSByYTCKgRQS/5QFljLI3jty5MgKBzvNmzdXAzFY59hb02Dg6wywnkHCISTpQCZjZzC7LKqLLgNYI8GlU4MEHjgmvF8VUJ5t2rRRSUGQvALurc5QXUtPbSWFpCmV1cvyfgtJXjCYR1Zle2syiKiEEFIRbC8dw/bS/PbS3srZ/tohSRVAEkVC3AVFVA+DBsSZ+CCkemVaUFggSRmpkpKVJunZmZKanS6ZOdmSnX9KMM3Jy1UialnQQDzy8Ytq/WDqMbeIMzguLOUREhQsYUGhEhYcImHBoactESFh0jC2nkSGOt/Q+Ew9xexqbqpIdopIdnLJq92SmyZSq7ZI7UBjCQgylqBwkZBIkZAokeAIYz04SiQkQiQY65EiXhTaeO+bD8uUeIphw4Ypaxt08DEYg0iFbciUi4yvsNazB2GDtBsdBpVlLR0Qhw0WKWXd4irj8OHDKq4cLH3KcwXH+4hdhvjviAFmT3Z2tmrjMEg588wz5bHHHpN33nlHuWNqcI7OgN+BpQwsZGC12L9//9M+U/a8zSwLMxg/frwqA5wzrqVGWyVVJ1zIM888owbtcCNFHH48ryqzfsF1wWC0quB5CJd9XBcMvsv+pn291ANVbc1vf40wILV3HYVbpH2WakIIKQ+2l45/h+2lue0lOHTokPzyyy9y/vnn2+KrfvHFF8ri2JE3BiFmQRHVw+BhjIDVmEGi5ZQ55ObnydY9O6QgoEiOpyfJ0dSTciI9WVl9OgOsR7VYGRpkvEYmdjGsRUPDlWAZHhKmLE4xsMArLFKLSixMtZUpri1+s7a9dWotwzq1lKVqUZFk5GZJRg6WTEnLzpC0rAwl9OI1Jz9XnROWlKyKjz0uIlpaN2whbRq2kEZx9U2LV2ZKPYUYChE045hI5nGRrKTThdEce4G0ZDsEVHe5VkBctRdY9br6u8xrWJxIbFOR2GbGa+Api5yqwHvffFimxJM8+OCDctFFF8lnn32mkjVgIIXBGVwB0fGHtQ0sMhYvXqxcz2Ddoi1QnnvuOZXAcsCAAbJ+/XpljaKtc1wBSS0w4IQlC6xa7OnatatarrrqKvn+++/VMSIpxsCBA5UgtmXLFrUdFoZwvcQgAwmI4LKNWHY4tlmzZinLDmfAIAeDFwh3KAcMYpCoAQNODPKQWGTfvn2lBlZmloUZdOvWTa655hr56KOPlJg4dOhQWbZsmRrEwS0VQmRVgTsr3BNhlYV9XnrppSpGHBKcYDvcSxELTsdlA7169ZIPPvhAxSPFIBniQ3nxTR0BARXfRx3o2bOn+k2IE7gOSPqBugDrMP1buk7hGmLAjs/jemFQPG7cOHUOiAmIuo7jWbduXZXLgxBSc2B7WRq2l+a3lwChEG644QbllYb8NojJi3pFzwnibiiiemHQj4cBZqE46HcdCIzHUk/KsbST6vVo6gklmCLgNtwI7Ms0NDhE6kTESBTc5MMiJSo04jSxFEtwYJDHkyXERkRXeI5ZufYhBkqHG4A1bUpmmpzMSJHkzDRZvnOdWiD4tmvUSjo0SpSGsfHVOien62lBnsjRDSJHNomc3GksSbtF0o+IZJ0QcVLIdggsS8NijSW05BXCZqgRgFwK80VgSVxUIFKYJ5KfJZKbIZKXYbyq9UyRvPRTx6H+zjSEXVdAWca1EGnQSaRBR5GEriJN+4hEl55Nrwje++bDMiWeBIMeuP79+9//VoPAjh07yooVK+TZZ59VA0UkjYDo1aNHD5W8UgPLDQwEEE9y8uTJStyCoAU3R1fBgBADvLLZccHTTz+tBoW4F2A1+OabbyqLDAzcwsPD1cDrnnvuscVfAxhwQGTDwAzfgWCHY3M2Dhz2hThvsM7B70ydOlXy8vLUYAbZ4HFMOmmG2WVhFp988okqG1xDnAOsVx599FF17NUFlkcYNEO4RFlj0gdx4lBuyGiMgbu9tQzqDZJzvPrqqyqLNQaproioejCKjMUvv/yysr5CYijE4MOAHYNx+/oMqzCIC4gVCEsfDFzxe3AfxfdhRYaB7CuvvKKsUSmiEkKcge3l6bC9NLe9BAgD8O677yrRHqEV0F6hrOilRtxNrWJG03VpwJ6cdFLi6tTlgN0DQDQ8lHxMCaYQS4+nJpXrAg9L0QYxdaVBTD3bAuG0KkIiGrTHH39crb/wwgsSHBwsVgSWqnuOH5TtR3bLrmP71d/2FqrtGyVK+8aJUi+q9KxdtchJE9k9X2TnPyL7l4sc2WAImBUB4TMyXiS8bhlB1E4YtQmkdturaflpA4+4ghwHAqv93+mGuKq2p4vkZhrWsyn7jQUCrSNimhpiatPeIs36iTTqIeLleLbENfhcJ4QQQgghxHdAzNPOnTvLn3/+6e1DITUQiqgeHmxjH4jRgngwHLCXBlXxYPJR2X1sv+w9flCOpJ5wGAMFiZfqx9SV+tGGaFovMk7Sk1OV5YUZZYpZP2STBBkZGS4FuPYWiAG798Qh2Xxwh+w4srdUrFeUVYcSQRXCssv1NHm3yMbfRbZMETmw4nTrUgieCd1F6iWK1C1ZYKEZWV8kvJ5IoDVFaKdBHYSgenSzyNGNIkc3iRxcbawXl8mOiXiszc8QaTVEpOVgw2K1tpENkve++ZhRphRRCSGEEEII8R0oohJvQpMpD6Mz+8F0nwN2g+NpJ2XTgR2y5dAuFR/UnjqRsSqBEsTS+GgIp3WUC749BQUFsnbXamXiX1PLNDAgUBIbNFNLXkG+7Dy6V5UnLFRV+IPUkzJ38zJpVq+R9GzZSRLrN6uwrIqObpG8v9+XWhlrRI6sL/0mRNLWw0WaDxBp3FOkTkvD3d1fwblBEMaSOPTUdlivQkyFRe7+ZSJ7FxsxXbfNMBYAy9qWA0USh0tR69Gyc+d+3vsmwucpIYQQQgghhBBPQUtUF6DFknmkZqXL5oM7leUkYpraZ6VvVb+ptIhvIs3rNZaoMM9bgfqiJWp5ZOXlyPbDe1Q57z952LYdLv7DOvaTlvXt4vhknhRZ973Iqm9EDhsB3hWwpGw5RKTTuSJtRovENfPwWfgIsNBFeAOEO9g1T2TPQkNotadBJylud6bkdD5Piuokqri9SDZGvAef64QQQgghhPgOtEQl3oQiqhfc+ffv36+CUNe0ATsEva2Hdinx9GDSEdt2iEitGjSVDo1aS2KDpsqq0ptl6k8iqj2w8l27d7Os2btZcvJy1bYujRNlZGi2BK39znDXR7ImeLAHBElOo34S0usSqd3xbCOeKSlVl5HcKzc/V3IL8iUfS2GBFBYVSkFRoQpkn5ubLSHHN0r0kdXS4OgqiU/eJrXl1OP2UGRz2VCvj+xu2E8CwmMlOjxK4iJiVDzb2PBolXwsNjzK5fuhJmHGvU8RlRBCCCGEEEKIM3B07mEwYD948KDKlFoTBuw4370nDsr6/dtUrE6ITAAJn5rWTZCOjVtLm4QWEhpU9SRCNa1MqwrioQ5u30d6t+oiKzYukKLln0qP1c9LUF7KqQ816i7S8wop7HierN6wQ/p27yu1A/mYyMnPlZ1H98muo/vlQNJhycgpJ9HUaQSIxPRWS3BeusTtXixnyH5JTNkijTL2qiVn/5+ysuEQWdlwsOwNDC/1bdwnuG4QVGPCIiUyNEIt0WERUjcqTqJCI6qUPM1f4L1PCCGEEEIIIcRT0BLVBWix5Dyw0lu/f6tsPLBd0rMzSyU56tSkjbRv1EqJQVbEXy1RFelHRea9IbLyCyMbPawqAyNkR8P+0nzMwxLTqr+3j9BSHEk5Lqt2b1TxZfUEgAahJsKDwyQoMEiCAwKVxWhgQIAE1g6QgNqBEhoUrNz1MUGAOL541X+H5qZIrbU/iKz8XGqf2K72VxgUIQfbnSfrW46Xk7n5kpIFS9e8Co8P+6oXXUcax9WXxAbNJSE2ns8mF+FznRBCCCGEEEKIM1BE9fBgu/h/Z0lOVoaENO8ltRO6iDTsJFK/o0iIc1nTfUF0WrZznWw7vFt01YKA1KFxonRp2k6JqGYD1+ndu3dLy5YtJSCg+vEl/VJEhWC64F2RBW/bxFNp0FGy+9wkkzPC5Hh2phIFrxg4Qb2aXaa+BMTS7Uf2yqrdG+Rg0lHbdlh+tk1oKc3qJkjD2HgJDgxybb+OyrSoSGTT7yJzXhE5utHYFt1Y5OzXpLjDWbawAcmZqSocQ0ZOprKCRUzhpMxU9UyyJzwkTCUN69iktbL09ncrVTPqKUVUQgghhBBCCCHOQBHVk4PtwgIpfq6h1CosY10GoaNOK5GmfUWa9RNp1lekfgcjoY+PcCj5mMzfslz2nThk24bkUF2bta9SnFNXKCgokNWrV0uPHj0k0ATXc1znzZs3q/UOHTr4trCC23vtZJHpT4mkl8ShbdJbZOTjIq1HqLqXmZst3y36U5IyUpTIfdmAc6S21DK1TH0BCJbr9m6RNXs32aynEa+3XaOW0rNFJ0mIq+++egoxdPOfItOeEEneY2zrfpnI2a+KhMY43l9hgSRlpMqxtJOy+9gB2XP8gAo7oEFc1c7N2irLb4QE8EfMuPcpohJCCCGEEEIIcQaKqJ4cbEMoObbZyOCN5SheN54St+wJiTLELoiqzfsbr8HWs4iEiAPxFJanAOXSoVGi9EnsIvHRTEbkVTKOi/x6p8iWqcbfcS1Exjwj0vk8Q7i3A9aOXy/8XbJys6Vdo1ZyTs8Rfm/FaF+HV+xaLxsPbJOCwkKbRWf35h2kW/P2ng07kZ8tMudVkflvihQXidRNFLn8a2U17IwF7YGTR2Tr4V0q/IAOBYDr2LxeY+nctK20adiciarKQBGVEOvw/vvvy2uvvSZHjhyRbt26ybvvvit9+/ZV723dulWuv/562bt3r9x6663yxBNPePtwCSGEENNhW0iItaGI6uHBNtxPt2/fLm3atDnlfpp5QuTgKpF9y4zlwAqRvIzSX6wdKNK4p0jLwSItB4o06+/VEAAQaBZuWymr92xS5QKhpnOTtjKgXU+PW705LNOazt4lIt9dI5J+WCQgSGT4IyKD7hYJLD+BF1zXv1v8p7qeozsPlNDc2n5dpsdST8qi7atUwjP9GISbfs+WnaRdQkvTxUaX6um+pSKTrxdJ3S8SFC5yySSR9mc6/Vt5Bfmy/cgeWb9vq+w/edi2HTFZOzRqLV2atZX60XV9Xig3496niEqINZg8ebJcffXV8uGHH0q/fv3krbfekh9++EENGOvXry+jR4+W888/Xw0kMXB8++23ZcCAAd4+bEIIIcQ02BYSYn1okuQFsrOzS2+IqCfSdoyxACSwObrJEFL2LRHZs9gQU/YvM5Z5rxuu/o16iCQOE2k31rBa9YD7P8SmbYf3yJxNi20uz4kNmqms7/HRdcQyZVoN8vLy5MUXX1Trjz32mAQHB4tPsfobkV/uFCkqEIlvJ3LJZ0bs3UpoXKeBDG7XW+ZuXiazNy2RnnFtBP/8Dbi8z9u8TNbt22oTT1GH+yR2lSZ1GrpVWHS6nsLy/PZ5It9fL7JzjsjXl4mc84ZI3+ud+jritcKNHwviqW7cv10leUNc1dV7NqoFoRsQpgDxUxG2wFcx894nhHiPN954Q2666Sa57rrr1N8YQP7111/y6aefyiOPPCLJycnSq1cv6dq1qzRq1EhSUlK8fciEEEKIqbAtJMT60BLVVyyWkveK7F4gsnu+yO6FIil7S78fXlek7WhDUG09UiQs1vRDgGj69/oFsvPoPvV3XES0jOw8QFrWbyr+hE8nlpr7usjfzxrrnc8XOe89lyyW8Tj4YelU2Xv8oDSpmyCXnnGWz1srlk189sfK2SrzPUDoggFte0q9qDixJIUFIr/fK7LyC+PvM18UGXhnlZ9f+04ekvX7tsmOo3tsoQuQSKx3qy4q8VtIkI9NGJgALVEJ8T6YvAwPD5cff/xRJk6caNt+zTXXqAHib7/9JlOmTJFLL71UTZycffbZ6rP+6ilBCCGk5sG2kBDfgJaoXnA/RdIiJCxy6YEX19xYel5RWlTd/rfI9lkiWSdF1nxnLAHBIu3GiXS/xLBurcCF21lhDVZsczYuUVZ8sFrr27qb9GvdTYIsEF+xymXqbyDD+6wXjPUh94uMegpBal3aBQTTsV0Hy6dzfpBVm9dK+4SW0qNl5VasvsDuY/vl1xV/K/EwJjxKzuw+VGWwt3Q9xf018V2RiHjDAn3qY0Y82wF3uPz7EAiR7A1Ldl6ObNi/TcWCxeQI7u2lO9bK4Pa9lZjqK8I5731C/IMTJ06o+7lBgwaltuPvLVu2qPXx48fL8ePHJS0tTeLj4710pIQQQoh7YFtIiG/gfQWMVA17UbUw33D93zpdZOs0keNbRTb9biywSO1xhUi/m0TqtnL5ZzJzsmT6uvk269OE2HgZ132odS33airz3z4loI59TmTwvVXeFQTGge16yQ9H/pR5W5ZL20atJCIkTHyZXUf3ya8rZqrkS63qN5XxPYZJWHCo+AQQNEdDEA8Q+edVkSmPioTVEelxWZV3iXNH+IIeLTrKpoM7ZNmOtZKcmSbT185X4uq4bkOlTmSMqadBCCHVJSQkhINGQgghNRq2hYR4F/ouehhYS3Xu3NlcqykkDmo5SGTc8yL3LBe5c5HIoHtEohJEslNEFr0v8lYPkS8vEtkxB6alTu0WLt2fz/tFCaiwPh3SoY9cPvBcywmobilTX2LtDyLTnzTWRz9TLQFVo9y723RUCYoWbVslvszxtJPy+8pZSkBtk9BCJvYZ7RUBtVr1FELqqCdEBt5l/P3LHYYFejVB8qyuzdrLdcMulOGd+qtYqkgw9sW8n5WYanVq/L1PiJ9Qr149dR8fPXq01Hb83bBhQ68dFyGEEOIp2BYS4htQRPUwMNFfvXq1enUbDTsbguqDm0Su+kGkzShDOIWl6mcTRP47QmTL1HLFVMQIXLBlhYqNmZmbpUTTqwZPlH6tu1syZqBHytSqwAL559uM9QG3iwy935TdIoRDfYlSr+v2bZET6cnii8Bt/bcVMyW/sECaxzeWc3qO8FoSJVPq6djnRbpdYiQNm3ytyIntphwbygTC+bVDL1DlhPKaumau/L1+oRKfrUqNvvcJ8SOQwBGJMmbNmlWqL4K/zzjjDK8eGyGEEOIJ2BYS4htYTxGrAYSFecg1GmIREk1d87PIvatE+t8iEhgqcmClyFeXiLw/6DQxNSsvR4mni7evVgJat+bt5crBEyU+uo5YGY+VqZXIOCby7dUihXkiHc8RGfeiqbtvUb+JtG7QXDXe87csF19k1oZFyk0dIQrO9qKAalo9xSQGkoU16yeSkyry1aUiOUaSLDNAOV3U70wVzgFxUdfs2STfLfpTxU21KjXy3ifED7n//vvl448/ls8//1zFOr7ttttUokedoZgQQgjxd9gWEmJ9ahVDKSM1J4szhLeF74ss/VgkL8PY1vwMkTHPysm67eWXZdOV6AS33jFdB0uHxolS00BDFRlpZLTPyMiQiIgIsRywDpw0QWT3PJH4diK3zhYJiTL9Z05mpMikf35UgvrVQ86TBjH1xFdAGIqfl01XYuAVA8+VhLj64jfgPv7PUJG0gyJdLxS56H+Gy7/JcWT/Wv2PSiYXGRouF/QdJ/Vj6oq/4RfPdUL8hPfee09ee+01OXLkiHTv3l3eeecd6devn7cPixBCCPEYbAsJsTYUUT082C4oKFDupz169JDAQC/m9cpKEpn/lsjiD0UKctSmXXU6y9zG4yS/Xls5r88Yy1ufuqtM4Rq8apURB7Rnz57WjLeIRFKIgxocIXLbXJH4tm4r02nr5snmgzuNeKK9R4svkJufJ5Pm/qgsKPsmdpWhHb3f8TD93kcoh0/GGYL6ee+L9LpKzCYlM01+WT5DhXMICQqWCb1GKXd/q2BGmVJEJYQQQgghhBDiDBwxehhYxcXFxalXrxJex8jifv8aSe54gRRJbWmVtEGuXf+6XHfib4kvTJeaWqYQTfv06aMWSwqoh9eLzHzOWD/rVdMF1LJl2r9ND/W6/fAelaTJF1i+c50SUOMiomVAu17il/c+XPpHliQU++shkaQ9YjaxEdFy2cBzpGndBCVM/7Rsumw6YE4cVr96nhJCCCGEEEII8XsoonoYiHKtW7e2jDi3OT1bPo0ZJJ92fVAONR4gtaRYgtb/IPJWL5FpT4pkp4jVsVqZupXCApGfbxcpzBfpcJZIzyvdXqZILNamYQu1fdXujWJ1MnIyZcWu9Wp9SIe+EhTgRYtvd9fTwfeKtBgokpcp8sudMKsUswkNCpEL+42T9o0SVZIpuPgv3bFGhXjwNjXq3ieEEEIIIYQQ4lUoonrB/XTRokXq1dvARXvKmn+UO2vjtoOk4S1TRG6dI9JqmJGsaMHbIm92F1nyX0O0qyFlmpeXp+LQYMG6pVjyocjhtSJhsSIT3jY9DmZ5ZdqzZSdbnUGMTCuzaNsqlV2+cZ0GNvHXb+99lWjqfZGgMCM+7orPxB0EBgTK2T2HS5/ErurveZuXy+yNi70upFrpeUoIIYQQQgghxL+hiOphEHOvcePGXo+9t+XQLvlr9RwloHZp2k7Gdh1sHFOTXiLX/SZy1Q9GwiLETv3zQZF3+4tsniJiAeszd5dpfn6+PPTQQ2rBumVIOSAy6wVjfezzIpH1PVamTeo0VBapECet5M5dltSsdFm/f5vNCtVKbt5uu/frthIZ/bSxPuMZkcwT4g5QlsM69pMRnc5Q67BKnrFuvleFVKs8TwkhhBBCCCGE+D8ceXoYDPabN2/u1UH/3hOHZMrqf5T40bVZOxnbrURA1UB4ajdW5M7FIue+KRJRT+TEdpGvLxX59GyRQ2vESlihTD3CjKcMt+1m/UV6mp9EqKIyhWjWrXkHtb56z2avWyCWx/Kd69XEQIv4Jkr4rTH1tP8tIgldRXJSRP4uiZfrJnq16izjuw9VdWLdvq0ybe08VebeoMbc+4QQQgghhBBCvA5Hnh4Gbqfz5s3zmvvp8bQk+W3F3yq2YbtGrWRM18HlW+shlmTfG0TuWyMy5H6RwBCR3fNFPhgq8uMtImmHxAp4u0w9wv7lIut+NATus18z3Lg9XKadmrSR4MAgScpIkcMpx8VqZOZkyfr9W9R639bdxGq4tZ7WDhA5+9/G+srPRQ6uFnfSsUkbOavHcCVebti/zRYWxNPUiHufEEIIIYQQQogloIjqYSA6JCYmesVyKjsvRwmoyLLdpG6CzZqsUkKjRcY8I3LPSpGuFxku/Wu+FXm7j8jSj92SzMZXytQjoLynPmasd79cpFE3r5RpSFCwtKrfTK1vO7xbrMbqPZukoLBQEmLjpVndBLEabq+nzfuLdLvYqC9w63czHRonytk9RqjzQazcGesWeNxC2e/vfUIIIYQQQgghloEjzxoSww9WYoiBmpyZJjHhUTKh9yiVLMYl4pqJXPw/kVtnG7FTc9NF/nhA5JOxIkc3i7fw+7iIW6eJ7FsqEhQuMvpJr5Zpu0YtbSKqlVz6CwoLZO0+wwq1T2I3S8VC9Wg9HfmESECQyM45IrvmibtBfTin5whV3uv3b5X5W5aLJ/H7e58QQgghhBBCiGXgyNPDwO109uzZHnc/Xb5rnew+dkCCAgJlYu/REh4cWvWdNektcvNMkbNeFQmONAS+/wwWWfKRVxJPeatMPQLKc/bLp+JeRjfyapm2rN9UufQjgdMRC7n0bz+yR7JysyUyNFzaNGwuVsQj9bROC5He1xrrsEb1wP3YNqGljOk6SK0v3bFW1u41xGxP4Nf3PiGEEEIIIYQQS0ER1cPAYqpz584etZw6nHxMFmxdqdZHdh4g9WPqmhOD8YxbRe5eJtJ2jEhhnsif/xL57mqR7JTq79/iZeoxtkwVObRaJDhCZNDdXi9TiPAQUq3m0r+mRLjr2qy9ZeuBx+rpsIdEgsJEDqwQ2fmPeAKU+8B2vdT6zA0LVfI6T+DX9z4hhBBCCCGEEEvBkaeHwWC/fv36Hhv05xcWKDd+uPO3b5QonZu2NfcHYpuIXPWDyPiXDDfijb+JvD9Y5PA68dUyDQ0NlTlz5qgF614DVoRzXjllhRphgvhtQpm2S2ilXrcf3StW4ER6shw4eVgdK8Q8qen3flQDkV5XG+vz3xJPcUabHuoZg2fNHytnSXp2pt89TwkhhBBCCCGE1Fw48vQw+fn5Mn36dPXqCRZtXanioEaFRcjorgPdEysS+xxwh8hNM0TiWoik7BX55EyRHbPFF8s0ICBAhg0bphase43dCwwrVFgVDrzLoz9dUZk2j2+k6lFyRqpHhLLK2Lh/m3pNrN9M1XOr4tF7H/UF1uKIjXpwtft/Tz0Gasm47kOUpTuS2P2xarYSVP3peUoIIYQQQgghpOZCEdXDQJTr06ePR8Q5xKxcvmu9Wh/dZZCEBoW49weRbOr2eSIthxhJp764UGT1t35Vph5l4bvGa4/LPWqFWlmZoh41jKmn1ved9IzbdnkgudWWQ7vUescmrcXKeLSeIglclwuN9QVvi6dAuIdze42UkKBgOZh0RBZtd6+A67f3PiGEEEIIIYQQy+FienZSXeB2WqdOHY+ISzPXL1SvHRonSmKDZuIRwmJFrvlJ5KdbRdbj9RaRjGMig+/xmTKFVdtHH32k1m+++WYJCgoSj3Nsq8jWaaesfD1MZWXarF4jOZxyXPadOCSdmrQRb3Ew+aikZWco0a5VSazWmn7v20AM3bWTRTb+LpJ+RCSqoUd+Ni4iRk3a/LlqtizdsUZaN2gmDWPj/aNMCSEug34IrNKLi7EUV7oYXzJe8vJy1WtwcMkkcIkzTS38q1X+grYTzwcsbvHAIYQQQqrSFhY50RaKk21hBe2g+lcb62wLCTEbiqgeBgLdjBkzZMyYMW4V5zbs36ZELohLwzv2F48SGCJy0f+MTPKwppz+pBEvdcDtPlGmeXl5cuedd6r1a6+91jsi6pIPjdf2Z4nU87yFZWVlChEVmdghoqKx91bDvPngTvXapmELCQyw9uPMU/e+jYQuIs36iexbKrLiC5HhD4mnwMTN9iN7ZOuhXTJ1zVy5avBEt1wfj5cpIaQUeP4XFhaqBQPDolJLYYl4Wlz5YA+iJ9oRDPT06FB9SaQgv0ACAgPtt9oGmnr/py+lf1cNIEtE1dJLgLJkt4mvhBBCiIugLUI7qNs9vdi3i+W3hbVLt4WI84+5wFOzhqpNKyoqloDAANt2JbTiv2oLCyudnNT7tl9q1Q5QrwEBtSWgdoBqJwkhlWNt1cEPCQwMlMGDB6tXd5Gbnyfzt6ywJXuJCA0Xj4OH8JkviIREicx+UWTKI8Z6r6t8skw9Sl6myNrvTyWU8gKVlWmjuAaqsYUVaGpWusRGRHv8GAuLCpVIp0U7q+OVetr3hhIR9TORoQ8YcVI9xKguA2X/ycMq8dfi7atlcPs+pv+G3937hFgQPUDTYqleitSAsahkYGYMxPSCe7KscFkVkRITJVNmT5Hx48e7PFFiL7Tai7pYCvLzjUFvySAXxwYxtXaAIaoaS6BNYCWEEFKzsZ80RPtXWFhwahKxxKBEtRklbZ5qU4KCSk3aVXXCLjAwSKZMqXpbWFbQtS0Febb2UZ0DjrtkctF+QdvItpCQU3Dk6WHwAIqOdq/ghDiomblZEhcZIz1bdhKvMvxhkdw0kYXvifx6l0hIpEjn83yuTD3Kup+MmLJ1W4m0HOyVQ6isTIMDg5SLNuJeIi6qN0TUg0lHVQKjsOBQaVa3kVgdr9TTThONCYzUAyJbp4t0GO+xnw4PDpXRXQbKbytmKqvl1g2aS0JcfVN/w+/ufUK8DAZRBQUFaiksyDdeCwvVe/aDqZCQEJvQ6E4rTgwWJ0yYUKXvlrLqqQAMLDEpZy8QwyMFg2SUhxaFYQ2LgawWiAkhhPgnarJNtYNGe1hQYEy8IVSMTVysHSBBQcG2dtGd7UJ120KVO6CC/AF60vGUSGycc25uTuk+gGoH9RJEYZXUWNgL9DCwqvjtt9/clk06Ky9HVpYkkxrcro96wHsVPFzHvSDS6xqMVER+uFFk1zyfKlOPs2KS8dr7WsOi1ws4U6bN6iao10NJx8Qb7D62X70iFqovDGi9Uk+DQkV6XGGsr3F/kreytE1oqayE0TGbunaeEirMxO/ufUI8CO5L3DvZ2VmSkZ4mKclJknTyhKSnpUp+Xp6ymgkPj5DYuDpSp2499RoVHSMREZESGhqmBo/ujrOGY0xLSzsVK9UNwPIGg8GQkFB1vlFR0RIbGydxdeqqJTIySr1fWFAomRkZkpx0Ui1paamSlZWpYtWpwTUhhBCfA89vTJxlZ2Wp9k8/4zMz0pWQCMEwIjJK4urUkTp16qr2Ae1EeESEhISGSmCJtak7cXdbqCccIdaGhoZKeESkau/t23+0j9AV8vPyJT09XfUX0G9IT09T/Yj8/Dy3ttWEWAlaonoYPIgRv89d7qfLdqyVvIJ8aRBTT9omtBBLgAHWhLcM68oNP4t8d7XIbXNF4pr7RJl6lCMbRA6sNGLIavHLCzhTpg1i66nXo2knxBvsLBFRW1o8oZTX62n3S43YxFumimSnGMnfPMjIzgNk74lDcjI9WVbu2iB9W3czbd9+de8T4gkr0/x8JZxiweAQAydtXRkeHqKsTKyUgAIWQPPnz/dK3GObJWtwsAQFB9u2qzAA2jqpsEByc3OV1SqsdCAsY0CNY/WFyT1CCKlp6JAuui2EW77hcYC2MEhCQsM84nEAC0+0I/DsyMnJUW1JTEyMEkuxHh8fL0lJSepzUVFRMnfuXNUW4rgOHDggLVu2VMePzzRo0EDtC9+LiIgoFQe1umhLVizBISF25WgcPxZjQjZbeXag7OzbQqv0JwgxE/bwvIC7BvyZudmyZs8mtT6oXS9rPbRgEXvBByKNeohkJYl8c4VIXpZpu/cbEUXHQm13pkikezKam1WmEOoBYl5iIOlJEIcVohw6Ei3iG4uv4JV62rCzSIOOIoV5Iht/8/jPI9zC0A591fqibatUHF0z8Zt7nxB3WJrm5UlWZqakpqQYVqYZ6coiPCQ0RGLjDGvL6JgYZVGDwZHVYoBiAHbWWWdZKnGcstYJDpaw8HBljRQXV0eVY1h4hEr1kZ2VqayYYKEDy1UlstJSlRBCvGdpmpurnscpycnq+QwvAiRmCgsPs3kdREVHq+d6cLDhZVEVYNGqvTwgdILMzExZu3atWj9x4oT8888/av3o0aOyZMkS2/YdO3ao9YyMDCWMgixYx6anq7YZQin6vBBVjx0zvAAhvm7fvl2tp6amytKlS9X6kSNHlOiqf2fdunVqHfs9dOiQWofoiaWqwFslODhEWahGR8eothAWqxChIbDCkhf9jtSUZNUP0WVDiD9AEdXDYLYGgaHxajar92yS/MICFavSktZ5QWEil38tElFP5PA6kV/vxCjP0mXqUTDIWvejsd7tYq8eijNlGhUaoQQydE4gpHqSnUf32RJc4Rh8Aa/VUwgi3S4x1tdMFm/QqUkbaVynoXo+zdlodBjNwG/ufUJMAoOrnOxsSUstRzSFS35UtHLH1/FMrQzaFwz6rC5CYsANayK4fMbaiarFpUTVZDVwhwUwB5KEEOLe2N543kLAU675pURTQ+xDqBaEcamKYAprUfwGfmvVqlVKIIRwOnXqVFss8b1796r3IXxGRkaq78HStHfv3mo9ISFBhgwZotabNGkivXr1UuuNGjWSdu3a2ba3atVKiaitW7dWbTbc7fv166feh4XqoEGD1HrdunVlxIgRar1+/fpyxhln2D6DfQIcG4RXAJF3586dan3Lli2ya5eRrBcCLc5Pl6WrFqs4vkiExbETVQvtRdXUFOX+r2OtEuKLUET1MHiQIrOe2dZTcOFfvWejWu+T2NW6A6PYJiKXfilSO9AQDJFwymJlioHQn3/+qRase4x9S4wEQCHRIm3HiDdxpkxRx7Q16tHUkx48OpE9x43Z3Vb1m0hNv/edoutFxuueBSIpRtl5EtSV0V0GqI7qtsO7bfFsfbpMCbHMYDFfWXlApIP1Iywf4Uqn4nr6mGhaFgyyli9f7nODLS2qRtqLqmFhKgwArIVwnTIy0lU8VQqqhBBSPfAchZBpWJsmKfFUucqHhhreAqVEU+fzhcBSU4uOq1evVhajYOXKlcpCFG0qREr8Pjwm0CfVcUUHDhyo3kdbkJiYqL6H97Sg6kpSRlfbQoiZegwbHh4u9erVs4mrEGVBmzZtpHPnzmodIivCB4Dk5GRlDQsWLVpks1yFKOyK5aq9qBplJ6rC0hdeMrhOWLIyM5QAXd228P3335cWLVrYROZly5aV+9mff/5ZidmxsbEq/EH37t3lyy+/LPUZHM9TTz2lxG6036NGjbJZ/RJCEdULuMNqasP+rZKTlytxEdHStqFFYqGWR8uBIuNfNtb/fkbkkOHiYJUyhSAD90EsHhVntCt/p3ONhEBexpkyrR9dR70eTfVcXFRYJB1IOqLWW8T7jogKvGYxicmL5saMtGz5yyuHEB9dV3q06KjWZ21YZFoICFqhkpqGMVjMVSIcBiBpqalqYIVOPsS6mNhY5ZKI+KZWE0115l+AASgGvdr1UA9Ud+/ebVvfs2ePLe5b2fcwsNMDr5SUFNU2aDdKqwmTSlTFQDI6RiUmgcUqwIBfJ/PCeVnd4pYQQqwCnpe5OTmSnpamrE3RJsLaNCIyUiVDgos5JhBrV5CVvqz1qrbQPHjwoFrfuHGjcofXQiMENzB8+HCJi4uziZFasHRX6Bnsd+zYsW7bf3R0tBKDAaxgteVqz549beIq2lltfTtz5kwVagDraL+dabu0qBoWFi7RMbElHhvhUlhUZEvolYF+Qa7rk4uTJ0+W+++/X55++mllGdytWzdVXjrsQVnq1Kkjjz/+uCxevFiFOrjuuuvUMn36dNtnXn31VXnnnXfkww8/VGEScO2xT90HITUbiqgeBg+fGTNmmDrwV64Euw0r1N6JXX0jmUG/m0Q6nitSmC/y400i+TmWKlOPA0Fp46+lrQa9iLNlWr/EEvWYB0VUhA7Izc+TkKBgiY8yRFxfwOv1tMPZxusm74ioYGDbXhIZGi7JmWmyfNd63y9TQjyEFgcxSDSyBmdILalVkjHYiOUGkc6b7T8sVBD7DRw+fNg2eMEgdN8+IwQLBiI6Ttz69ettcd+wTVu4wFJT39MQWo8fP24TUTGI0yIsXA/xOQzeMBDSSTUQ4gPlhQHevHnz1Dr2rS1IINziN7wFBpKwxNFWqjGxcUrwzsnJVtcWg0mch9WEYEIIscQkYm6uTTiFWziEOR2TE89VxOl0ZgIRYhjaFwC3dliaAgiVWqyEi33z5kYiZMQkxWSlN0A7hzbV0xNtOF9dFhAmtdDao0cPZfGJtgqhAADa/zVr1qhr5Ez7ZXhsGFaquh+D65aZmWETVGGx6sy+3njjDbnpppuUENqxY0clfMIC99NPP3X4+WHDhsl5550nHTp0UFbC99xzj3Tt2lUWLFig3sdvvvXWW/LEE0/IhAkT1HtffPGFmrz99deS8Tqp0fiA2uZf4EGEm9HMmaS9Jw4qUSI0KEQ6Nm4tPgEatwlvi0TWFzm2ReTvZy1TphisffbZZ2rRAzePuPIj4VZYnEjLweJtnC1T7c5/PD1JxbvxBNoKNSG2vm9MGLjx3neJDuON1z3zjbrmBSB8D+toxHFasn21pGQaMZd8tkwJcTNw/zZc9ZOUuAYw0ID4BmsbiHGesjbVAxkMlGB5Avbv36/EUL0Odz+gM/YCWLQgVhvo06ePNG1qxGwfMGCANGzYUK3DrU5b9cCtTrs7YuCisw3rgZteRxw4DPAwgD7zzDNVWcAaCOsq+VNQkLRt21aVD4RXeyEWwi7AgAiDPgBhVbtqekrAxLHB4wWJORB+AXFrEXYB17yiQSTO58knn1RWuigDDAKff/55Cq+EEP+fRMzMUM99TEChLURiRGSCr6gt1M9GTK7pNgsu63qCD0IprC61WAq3d2AVbw6Ipxs2bLCEtwLKBG062lkIqRAksY4FMV/xPix5dZIrlHllYQDwHYQhQr8G1xReGyj69PQ0I0ljZka5BhOYGEV4Bbjba3As+BsTrJWBujFr1izZunWrLUYtvF7Qz7HfJ84NYQKc2Sfxf3xHgfATcKMiWLOZHd01ezar145NWktwoA+JCRF1Rc5731hf9L7ITiNbobfLFA9jbdavXQ3dzuYS68B240QCvB/f0dkyRfgICGMFhYWSlJHikWM7lGy41TSu00Bq+r3vEnUTRRp0FIHYvfWUu4qnad8oUZrVa6TqzJxNS3y7TAlxAxgkwbomJSVZLYWFBRIREaksNWBlg4GGJwZ2aP+0KGqfURgDIi02wiVOi6IQLGEBArBNuwNCHNXCJ4RNVya/IDAiUYazoXW0laf+LS3SQpTVx4bBMQRcfWzNmjU7LSMyRNZNmzapdVj/eMpyFQIqBAGIqcYgspbDQeQrr7wiH3zwgbz33nuyefNm9TdcD999912PHCchhHhzElEJp5W0C9pTAQIsvJbQpqFdQBuBfiPihOpkTtgOYdaquNoWegNM6GFiD6Dt7dSpk22ycseOHWodoREqa08NQTXI5mkDYRXXEXFuUReys0onpUJ/BH9D/LYHf+sJX0fgONA3QH1ACD+0n6NHj1bv6e+5uk9Sc6CI6mHwQJ8/f75p7qfp2Zmy46gxyOnWvIP4HO3GivS9wVj/6TaRnFSvl6nHgQCkRdQOZ4kVcLZM0dDVizKsh05meGaQeTBJi6jG4NhXsEQ91S79ur55AdSZkZ2NJFM7juxVS1Up3Ldc1k+Z5Lv3PiH2ljZ5eba4YBjswcLDcHGLkeAQ59wTq/rbehCCwSYsMvTgE4MFvI/kCzobMOKj6WQUEEfxnrvAMcCixV3WNxj0QQgGjRs3VkIwwKtOvgHLVR2mYMWKFbYwBSdPnnSbt8qpQWTkaYNILLVr15ILL7xQDfyQSAPrY8aMqTCRBiGEWB20N7m5OZKaklKlSUT7RFBz585VbRuepfCCgACJdcT8tIqFqVXaQrNBWWuPktatW9v6DBAuMRELYPmJkD2VT4yGKJd/xBNHPNX8fCMpVVpaqooPX1UQmgCeKEjY9cILL6iYqnqymJDKoIjqYfDwRqfXLPfTDQe2qQanSd0Em5jlc4z7P8NKLu1gldz6zS5Tj4NwBsl7RAJDRFqPECvgSpnGRcSo1+RM94uoadkZaoEAlxBrBDr3FSxRT7VIv2OWSIGHrKwdgGdVn1Zd1PrsjYslvypJptKPSOB3V8nAzc9L0F4jhhEhPml1mpUlKcnJyuIQCTBUnMyYWCMhhhtDliBGKCy5teUlBjZ4PnXp0kUNXHSG21Mu5+HijfJBrDpPDxxhmYLz14KqtqqFsIoEHACWqjqxBtxD3eW5Yj+IhJCAGHIXnH++PPzQg3LgwH5lrbV27VoVyw2hDAghxNfAJJ6OhZmVmSXBIcFOTyLaexHguawtBRHyRSdFwmSZL4UAs0pbaBb6+qE9RbZ7Dax/cU5LlixRoXsq3EdJgkYkpUI/KTAgUF370JBgeeD++211QAOrV+2N4gjUBwi8CCH0wAMPqMnIl156Sb2nv6eTijm7T1Jz8N2niY+CBwVucjMegui4bzpgmMd3aWpYT/gkwRFGfFSw7H8i+5d7rUy9grYKTBwmEmLM2nkbV8o0NsIYUCZ7wBL1YEk81AbRdX0rdIVV6mlCN5GIeiJ5mS7fZ2bTv00PiQ6LlNSsdBUf1SUKckW+uVIk/bAUxjSTokY93HWYhLgFWHoi3qW2Og2PCDcsDiMiTXcpxG/peGSIqYZYX0APKDG4GTp0qC1hBNzdreLWCPEWMcqs4sKIgbgWVwcPHqxipGHwr4VmWKzOmTPHFsPP7Cy+KgZdWJi0Smwtf/75l/z5559y5Mhh2b59m0qscfnll5v6e4QQ4tYkUXl5kpaaqiwLiwoL1WQRwpnA4rAi0ROCmxZL4RWgPQQQ1xTW+QAxsn3N4tRX2kIzgEUwJmdRDyBMYvISlqqIOVpZmC70URDSAcnE4PY/btxY6d2rp5qMRtuLsRa8as444wynjwff0UIuwhLgmLAPDSadEefVlX0S/4UiqodBZxtm4/axPKrKkZTjKg5lUECgtGloNBg+S6shIj0uN1zbf7/PiNvohTL1Ctv/Nl7bWceCxJUy1ZaoKVnVSxLkDEdSjDh8CXFGwHdfwhL1FB3SxOGnrFG9CETwEZ2NjsjynevlRHqy81+e8ojI/mVSHBoji1rdLYVBRrxFQnwhq7B2yQZIjBETG6usC80c7GEggIElQCyybdu2qXXE/9RWFEhGpK0qrQoGNYjLmpGTpZIKYknKSJWcfOtkr8egFq6KRqbhEJUMC9cS5a8Ta8BaRlv9msEPP/wgr772mkpGlZKapixle3TvJgf271PxdK1SNoQQUhY8n3Kys5W7fkZ6mnqG6mRCQRUkS0T/+cCBA8b3c3JUUiisIylU+/bt1Wf8RTQtry30WYOhSgRRCN+4djpRItb37NmjYn5XBD6HdvdkUrKMGDlKhQiAIL9u3Vo1OYz8JuDqq6+WRx991PY9WJz+/fffsmvXLvUbr7/+unz55Zdy5ZVX2vZ77733yv/93//J77//rrxNsA+0tRMnTnRziRBfwH+mM3wEuMqNHTvWlH1tOmhYoSY2aK6S+/g8cOvfPEXk8DqRlV+I9DEefJ4sU4+Tm37KIrDNSLEKrpRpnRIRFQNbd3MszRAF6kcbmZ59CcvUU4SMWPeDyI7ZIqOf8u6hNGguiQ2ayc6j+2TWhkVycf/xlXeAN/1hWKzXqiW1Lv5UBrc1gsATYnXxFOJWUXGxhIWGqcGi2a6FEE6RwAEWFLDmwAATGXR1hnpgZdEUE8Or92ySNXs2ycaDO+R4WpKcTE9Wr7kOwo/UrlVbwoJDpU5kjLRNaCntsDRqpZLXtUloIeHBhsWoJ4EYgDIHEKt1hmfE5YPrP5JbwXoKA0VYsVaVBx98UB555BG59NJLbdtefPFF5d6PV4SIgMWqu0NCEEKIS5Z+OTnKMwJxncPDwp2K941nJmJvox8NIREu+nh+9u3bV2oKOiYqYnf78zMd1qi63cR11mFyELIGicBw/o645JJL5Pjx43LBBReqScv777tPXv/3axIcFCQ5Odmqb2RfbvAauf3225Uoj/YYIvxXX32l9qN56KGH1OduvvlmFRsd4SGmTZtm80YhNRuKqF54CKIzjQdBdR6C2M+WQ7vUeqcmrcUvgJvxiEcMK7OZz4t0Pk8kLNZjZeoV9iwUKSoQqdNSJK65WAVXylS782fn5agFg1p3CREYTIP4aCMRiC9hmXqq4+4eWi2SdVIk3HuCNDrOIzqdIXtPHJR9Jw7JlkM7pUPjCp5naYdEfrnTWB90jxS1Hiknjh3zfpkSUl6CDDVgNJIohIWHm25xiucKLCQgzmG/eMbAKgeDED0Qseq9cTT1hPy5ao4s3LpCiaeHU45X+Hl43eAc8wqMZE5FxUWSmZullv0nD6uJGHuBtXerzjK66yAZ3WWQEli9YaGky167lwKdSAMiwJYtW9SgUIdScBYIsmWvK85v5sxZ8v77scqdEfUOYgUGfBDuEW+XEEI8DdopWJ5CzILVYWRUpFMJovAcw8Tf4cOHlYCKCaqBAwdKTQQTdAMGDJCaBBJXYtFeNLA4Rb8K8VMRu10nrtLceeedanE0gf3995OVWIptqHewMMVSEfjcc889pxZCykIR1QsNCWKSIa5JdQY2+5OOSFZuthKsmsc7npXxSfrdJLL8U5Hj20Tm/tuwTvVQmWrwkP7+++9t625lZ0kWwFbDxEq4UqZwy44MDVfulimZaW4TUTFQhkiLRq2uDyZRM7ueVpnoBJEGHUWObhLZOVeky/neO5YSER7xURdsWSFzNi6VlvWbSmhQOffdH/8SyU4WQQzUkU9Yp0wJcWhtYwhdiNuFxEBminhICoUBpY7RCTdHvCIDsZVB2I6/Vs+R31bMlMXbV5dyO4fw2a5RS+nRoqN0adpOGsXVl9jwGMlOSZfuHbpKTESUKsOCwgLJystRfSAsR9NOytZDu2Trod2y9fAu2Xp4t7JgXbZznVpe+OU/0qxeIxndZaBc0Hec9GzZyatl0KZNm1PnXLu2Ghzj+kEM79Spk1PJB8855xyVTRgDS3xn9erVKibq9ddfX5KIKlgtWkxNTk5SAj6EfKvEuyWE+Dd4rmnxFM+1qOhoCQwMKrctRHsAyz+IY/CkABBRe/Rg3HuUJeKZw9OkJj7D4+LibP0rtHuIpQqhHa74qB+O6pRy9Q8NVdbO+Xl5koWJRXhphIYpTw2OG0h1qFXMwElOgxsXSSCQ/MHbNx4sLlbt3qgGGuO6DxG/Yus0kS8vFgkMFbl/jUi0kRXXL3m3vyFmXfq5YXnro3y36E9lCXRWj2HSscmpAaKZ7D62X35cOk3qRMbKDcMvcstv1BimPiay8D2RXteInPeut49GiSKfzftZJSeDwDGys4PZ9o2/i3x7pUjtQJE7FhhCsJ8914l/WdtAsKrM2sYV4I6GJFEYQGCACUvG6riEewplObJjjbw3/Uv5Z9NSKbSLed6rZWc5s/tQ6d2qi3Rp1k4iQsJKfRfnC4EQgyRXEmpoy9QZ6xbIwq0rS4UDwG/eNOISOavncGXdagXgsojYbEi0AUtVuG126NCh3M/jM08++aT88ssvKqEK4rRddtll8tRTTynx1HFysSxllYMBZXh4RI0ciBNCPCP4QazKzc1RE4hh4WFKPC0PPJ/wfIcnBSaThg0b5tfxTatCVdtCfwYi6tGjR5WnB1z5UUYJCQkV9kUKSiYWMcEIIbWyBGaElAdFVA8PtrEPuCXgJq/qPnDJPpr1naRlZ8h5fcZI64bWcQM3BVTJT8aJ7F0s0vs6kYlvu71MvUL6UZFX2qjYjvLILpEI68T5dLVMp6+dJ+v2bZUz2vaUQe16ueWYlu1YK3M3L1Mx787tZZ34sc5iqXq6ZarIV5eI1Gsjcu9KsQJ7jx+U75dMUZ3mKwaeWzp5GGIHv9VLJP2IyNB/2WK5mlGmFFFJdTGSXGSrQaPOGAvx1AwQ2xSCGtz1McDEIEEnhvKFcpm5YZG8M/UzWb5rvW1712btZULvUeo53rRu+QMes8jMzZYFW5bLH6tmy+8rZ9nCASTExsu1Qy+Qq4ecZ0uQaAUgkCIpFQaGuPZ4RjVt2tR0cQMWOhBT+dwjhJgBnlUQqDCZaEzWwPI9sNJn0owZM2Tw4MHKdRvthqefSSrcVnqynMxIUV5v8KzTr/CAg5dEQO3aUrt2gHoNqFVbwkPClCcV2o64iGiJDY/2j/wkPgrGAhBGMckMQRUTzI4mFDXKSyMrU/WpIKRCUKVoT1yBUxkeBg/qnTt3SoMGDarcSCCOGARUuFH7lSu/Bg+x0c+IfDJWZNUXIoPvFqmb6NYytQcPVFh3gPPOO899M3675hqvDbtaSkCtSpnqAWhKpvuSSx1PT/LZpFLuqKfVonl/4z47sV0k45hIpJ1g6a1Dim8sHRonyuaDO2X6uvly1eCJElC7xFJq/tuGgBrXQmTYQ9YsU1Lj0PG2srIyVec7MirKFMtTtEHbtm1TiQ4wCNBhZRD711fKBbFO35zyqS0BZkhgsFwy4Cy5ZeRlKpmcs2CAjdAFcIGvquUkrFvHdhuilqcvuEs+n/eLfD7vZxWD9aXfPpQP/v5GHjznJrlmyHkSaAHLVMRH1TFScf11NmZYqiLRhqvxU+0x4hFGqQEjBpCYQNIDSD5DCSFVfeZr8RRjppjYuErHTsiijhiVEL1geYp14AkhCxNpeP4fTDoiB5OOyuGUY5Kbf3ryQleJCouQJnUaqvAxzes1lpjwqj+r3dEW+jP2FqgIe5CYmKhCHsHLw5GYivASQTGxys0/MytTsnOylehvdtx64r94v7dYw0Cjgvh91WHHkb3qtUV8E8u4oplOizNEkHV7298i894UOe89t5Zp2QzHF198sVpHhj+3iaiwtAUtB4nVcLVM4yINETU5M81tx+TLSaXcUU+rRVicSH3ERd1o1MNOE8QKDO90huw5flBd6+U710v/Nt2NZFILS0IOjHteJCjUmmVKatSAMT8/T7IyM9U6rPmcyTBcGchADIEMHXkMmGApgYElBgO+ws6j++SRb1+V+VtWqL8jQsKVOHnLqMukQUy9KrvsmUV8dF3519k3yl1jr1ZWqe/P+EoltHt88uvyxfxf5PmL7pUhHayT8RmiqUZnKUadQziHJk2aVHkwjWdnVHSMqmOox7CkRvgJxIrjAJIQ4kryRCS6CwioLVFR0RJUgfUfxlTwqICVPSYF9QShFlDdCSaj9p08JBv2b5PtR/ZIQeGpsDIAVqT1oupIVGiEyvOgF+R5wHkWFhWppai4UH03IzdLhaBKyUqTpIxUZbGanp2pDAGwAFinNo9vJK0bNFdj9upOVJnZFvozffv2tdW3+fPny5gxY8ptK1FfY4KCVPuKCXGUserTBZsXion4J36qwFkXPMT379+vXLOq+jDdcdQQUf3Ojb8ssDiDiLrmW5Hhj4jENnFbmXqFfcuM12b9xGq4WqboKAAklnIHiKEHNxtfFlEtV09bDDBE1D0LLSOiwmJsRKf+8tfqf2Tx9lXSJqGF1J35gkh+tkjzM0Q6nmvtMiV+jyE6ZSiR0wzRCR33nJwclTwDLtyox3BpROZZXyInP1fFPH1n2ufKygfJ4W4fc6XcPOIS5fJYVTDwcUdSEQyYL+p/ppzXZ7R8vfB3eeW3/6rkVBe/fbeM7TpY/u+S+z0SasAVYJkMUF/guojnHiZ9UYeqap0Ka5zomBjbpAAsycyaFCCE+LEXBkSnzEyRWiIRkZHlik74bHJyskoMpBNHAVgJegKMHTbu36a8IiBy2luNNo5rKI3rNFDWo/Wi4qrVj0QbeCz1pOw7eVj2nTioLF0hsKbsTZO1e7coQbZTkzbSuWk7qVNieGKFttCfQYKykSNHqrKDJwfqrG5HT0tAFRKi6jBC3WRmZkh2dm2JCI+ocFKA1GwoonoYDPoR46px48ZVelhn5GQqKy3c8Mhi7ddAXGw5WGT3fMMS7axX3FKmXiEnzRCwtGu1xXC1TLXLCjoRcIkxOy5QUkaKOiYMzDFL7ItYrp5CRF36scieEotoi9ChcWvV2d197IAsXPKTnLPmG/TRDSvUMh10y5Up8VtQ1zBgRAcb7s/R0WFSqxp1TifSQP1NS0uTbt26qSzrvggSNz30zSvKChUM79hfXrrsX8ryprpArEb2XSRZcocLI9z3rxlyvkzoNUpe/+t/8uk/P6pwIou3r5bXr3xMzuk1QqxGaGio9O9v9BsgvB84cEBZ3ug65SroTyL5C0JR6PAUsEyFMFJRMhhCSM0DzxmITIUFhRIeUbH7M0RTtJ1r1qxRzyhM9niqnUvOTFVt05ZDu9RxgNDgEOnQqLV0atJaGsbGmzpRhPEJ3PixSLteaix0IOmI6svC2wHxVZfuWKuWxnUaStdm7VQIK1vYKi+3hf6KduVHLHntzQF3f4QBg9ePPagPmBhHncaEYnp6mmoXEeeeZU7KwsRSPpaAZOOB7TJl9T/KLQ7JEPyeHbNFPpsoEhQm8uBmkXD3WyFilhSzV9oVAFZBbjsvxHh8YJ34A+9O+0KJqNcNu1DN6JrJtsO75bcVM1UikCsHTzR13zWWtMMir7YTqVVb5PG9IqHWSaySmpUun839SYZt+1q6HV8q0maUyDU/++1znfiCu2KmstoLj4isdmca7mL//POPjB49Wu3LVy3+cO+8Pe0zefWPj1U5IV718xffpxJGmXVOnh44bj20W+7/8gVZuXuD+hv9rGcvvEe5dFoVlD3Ke8mSJdKoUSMVY7C6+0PyKcQ4ZPIpQggoxkRiSdxTCE3wxKjouYCYp2gj8OzWzyhPAGtTeDKt37/NFk8acbg7NWkriQ2aeiXuNbzpdhzZJxsPbJNdx/bbRN3osEjp36aHdG7aplIxlSKqOaDs169fr8IkQUSFNwcmJh1RVFSoNAGIr+FMPkXKwF6Rh8FDcMeOHeq1qhmsQQt/TCjliMThIgldDXfelV+6pUy9wt4lxmsz68Req26ZwlVFW0ubjQ4TUB23UG9juXoanSBSpyV6xqdCS1gEWDaPaNJEOp8w4iqm9b/DN8qU+J3rfmpKihI9I6OiVQzJ6gxe1q5dq+LBIf7b0KFDldWgr3bI8Uy++oMH5ZXfP1KDkssGnCMLnp0sE3qPMvWcUN6dO3f22KCxXaOW8uu/PlQxU3EeX8z7Rc58+QYlrloVXd49e/ZUyTVgKbZ48WI1OKzq/mB5ExsXJ0WFhZKSnKQsU2lzQUgNnUjMzZHklGQpyC9QSaNgpe5IQMUzB8k+ATyEWrZsqdY90c4VFBbI/C3L5ZM5k5X7PATUVvWbqomw8/uOVc92byUOhECK38dx3DrqMhnSoY8aMyFJ9Ix18+WT2d/Lmr2bldhqlbbQX0Fd7Nq1qzKQgifHwoULy23batcOUHF+EW4J90BqSrJKREUIoIjqYXRsmKp0RvGdvScMERVZ/2oEaHj732qsw/XYQQNTnTL1GvuWGq/NrOfKX9UyRXwhYB9zyCxSstJLxV71RSxZT3U83gOGWGklOu+bKQHFhbI3urX8eSLTZlFg+TIlPg/qWkZ6uqSlpkhwSLASkxxld3WGlJQUOXTokFqH+5j2bCjrRuZLrN+3Vca8dK3MXL9QuTC+efUT8ubVjyurGrPBBMnq1as9OlGChJ2Pn3e7fHfXWyoGN1wxx710rRrsWhnUUVhLY5AIAQN/I1QE3P2rQkCAkXwqMjJKWabifigoyDf9uAkh1gQTMmlpqZKZkaniQyJ+sqOQIbDUwzMaz57U1FS1Do++8iz8zOZ42kn5asFvsmT7GpX0Ce7ylw44Wy7oN67KCQ3dRWRohPRr3V1uHHGJjOx8hk1M/XvdAiWm2ocf8HZb6O8guRmS06LewnJa99XKApd+TB7AMwMu/ulpabwOhCKqp0Hj06dPnyrFrTqRnqxiqgQGBKhA2DWGrhcYbvwp+0S2TDW1TL0ChGAtWlkwqVRVy1THKk13hyVqVlqp2Ku+iCXraZNexuuBlWIpcjOk1qqv1OqapqPlYNJRWbZznW+UKfFZMHCBxR0s74qLiyQ2ro5yZa6KFQ2S/+jBpU6kgZhcnshC7E4QVuWc126WfScOqdhvfzz4kVw24Gy3/qa3ymxox34y+4kvZUj7PpKNUDUfPiLfLPxDrA4sleDSj3oLyzBd/1AnXZ1wUvFSQ0LUvYCBJCyzMzLSOXFFiB9jJIDKUJZ3sN7ERCIEpPLawmXLlsmRI0fUxA0s4j1lLYnjXL5znXw5/zeVLyQ8JEx5Q6BNslpiQEeTdT1bdj5NTP1j5Sz5edl0h4l6fb3/YEUw8Qjq1KmjhH/UqePHj5/WxqHuIx4+7gUkakhJSVYhb9gW1lwoonoYzFxs2bKlSjMYGLSAJnUSvOaS4BUQD7X3taesUU0sU0egEzBp0iS1VNX6qEKObxPJTRcJjhBp0FGsSFXKFLOr7nLnT81M9wt3fjPrqbki6gr0RsUyrPlWJDdNpG6itB50vdq0cNtKOZp6wvplSnwS1KH0tFRlcRcZFVUt132EAZg9e7YSrerXry9t2rQRf+Cbhb/Lrf97UsW+HtVloMx49DPp0qydW38T1wDZdL3lwhgfXVe+vutNueSMs5SrJeKlvjPtc58ZOMXHx0u7du1KCR3VdfFHQhlMNNCtkRB/DWOTrF4rct2HlTv6X6Bfv37K+t2TYKwxefFf8s+mperZ3Lphc7l26AXSNqGlT4XJsRdTB7TtqVz/ETd10twflWWtdvH3dlvo76CthNs++m0bNmxQVtgVuvhHRav4wPDQKCx0/Fni31BE9QKIr1YV9icdVq/N6ll7ds0t9LnOeN31j0iykQHYjDItb1bq2muvVYueoTKVQ2uMV8R6dTIrozdwtUzd5c6PDkRaTobPu/ObXU9NoWEXkYBgkawkkeQ9YgkgTiz5r7He/xbp2KSttElooVys/1r9j+SVcSe1XJkSn7Q+xaARnWMMGpGpvCogPi9cp9FuIGmUp1wZPcHHsybL/V++qMrr6sHnyRe3vWbKpJbO3gwweNFxPNPT09W9jYEMYpbp+xzhOzC41593FObDHYPct65+QsVJBS/++oE8+f2bHvltMznjjDOUNTTKcvny5VU6frj4w6U3NCxcufnSKpUQ/7I+hSiE7OQxMbEOvXy0RTvaOQh6et2TwDPz6wW/y/6ThyU4MEjGdhssE3uPlogQ37XURDszsF0vuWbo+crLA2EJEOP183m/yJGU46otxHO7PHGPmAOsfYcNG6bq9Pbt22XXrl0OPxcUjFBPdSQwMEhSkmmVWhOhiOph0OD06NHD5Zkk3JiHko6pdcR6qXHENRdpNdQQWFZ/Y0qZeo3DJW7JjbqJValKmbrLnR/uLRjsIYyFTl7li1iyngaGiCR0Mdb3WyQu6u4FhrV2cKRIj8uVRcHoLoMkIiRcTqYny9/rF9g6KpYsU+Kj1qfRygLV1Szk2MexY0bbHBMTI1FRRsgRTw8q3QXutbemTJInf3hT/X3rqMvllcsfqrCc9P2JwTZET4CEWnv2GBM1SDyyceNGtQ6Lj02bNql1xCTbu3evWsfABeWK+x+in3ZJX7NmjU1QnTFjhlrHNfjzzz+VAIvwCQsWLFBtBtb1AAifqc6EC44DcVKfu+he9fcnc76Xh755xW2DphYtWqjfLLvccYfjJHvOoOOl4tohPi9eEb/Q1XIx3BrD1ACSVqmE+J/1aVh4uENrTjzvlixZotyd8QyAl4WnrT4PJB2Rbxf+ocYGdSJjVeKors3a+5T1aUXUjYyVi/uPl/E9hqnwBOj3IozMqj0bJTY21m/O08roMkY7WbduXbWOJFSOXPxhqY2JxVNWqfSMqylQRPUwuLkwaHD1JkvNSpfM3Cxl5t/QYkGyPUbPK4xXiKh2FhRVLdPywCzfX3/9pRa3zPgdWmu8JlhXRK1KmUa6SURF3Qcx4dE+3Xkwu56a7tJ/0CJxUUtioUrXC0VCDUs3WBec02uEGvRvOrBDVu/ZZO0yJT5ofVq10C0Q9yD+YZ9wB4OQ6k+8+sdH8vLvhmX4v86+UZ6+4C7bcxgiJcjIyJD169erdQif8+bNU+sQULWIqcU7gAzyiNkJ4J6o3c27desmbdu2ta03b95cTZCMGjVKJYAAw4cPVy534Oyzz1YJurBfJIfANcQ6vodXtN9I7AXwCotWAAFgxYoVNovXo0ePOl0eN4+8VN6/7hmpXau2SmSC8nEHsDg6fPiwbfn777/V9osuuqja+w4JCbGVP/Z98KCRsNRVcG0Mq9SwkuQztEolxB+tT/H8hKcFnuMDBw5UYWq8wbbDu+WHJVNUSBnkBrls4DkSF+FfbS5AOXdq0kauH3ah8sSCR97czctkY8oeyStkcj9Pgb4G+nTo62ACV/d5yoJ44aesUpNolVpDoIjqIxxKNjr5DWLq1qx4qPZ0PFckJNpwO96zwG0/A2sWDM6waNdC04D4a7NE7S7+hHbnz8nLPc3lujoklwRXj/XhpFKWpklv6ySXQqzgjb+VnjQpAUkCkOAFzN64WHYePT2sByGVUVRUOvZpVaxPAbLkIr4kOtmDBg3y6Qme8vj0nx/lzSmT1PrTF9wt94+/XrZt26bESVgvTps2TU1gwMJRJ7yIi4uT3r1728TSXr2MSRpYc2jhDsKnvcVuRVa7+K1FixY5nNDEddMWmrgOeIUA0LRpU9vvIMmJ/v2RI0eqdfx2y5Yt1XpWVpYkJSXZLGQhiOt4f+VZaCLjM6xxAcoHVqlmA0Eervd6gaVtYmKiDB061NTfgYiN/aKvM3/+/HIHieVxKtlGHSnQVqkl4RYIIdaloKBy61M83yEG2Xv7eMvLYv2+rfL7ylnKzR3xTy/qP17Cg/0nZI4jwoJDZUKvUTKy8wCpJbVk9vL58vncn+VQsuH9QjwDJmhHjBihJiDhUbN79+7TPmOzSo3WVqmpNPDwcyiiehg0RJ07d3bZ/fRgyQOzUVwDqbEEh4t0Ps9YX/tDtcvUKyTvNhLmwI063rC4sSJVKdPQoBAJCTKsuTJysky3RPXlpFKWrqfaEhUW0t6e4d7wm0h+lki91iJN+572du9WXaRL03aqU48MpodTj1uzTIklgUCE2FW1ateuUuxTdIjh0gUg1EEwBP4ooP4w/y95YvIbav2SLmPkkl7jbK71EDQR7/XMM89U9x4GFq1bt7YNsCMijAk1M4BQioQlVRG6y6KvE45du+jBXa9Dhw62dQi/YP/+/XLokJHME8lTYL1qHw/wqsET5aFzblbbEB/11xWGpai76u1XX30l119/vVvqGvaJ6wYxFYNFWBa76uJfyio1NUVNUtAShxDrgfsS93dqSooEh4SUa32Kz8F6H94FmHjSz3hvsOPIXpm+br46pm7N2ythETFE/RH0M7T4BoEb7W3Plp3kgt5jpGGd+iqMwbcLf5cV2w2DHJQJ46S6H932wjJVe8M4MrTSsVIDAgPUJIXpxljEMlBE9TB4MMKCxdXZCW2JWqNFVND1AuN18x82waeqZeoVtCt/g04iAdaNmVfVMnWHS39Kln9Yolq2ntZJFAmJEinIMWKRepPVXxuvPa5Aj+W0t1V81K4DpWX9JpJfWCDfL54if/0z3XplSiwFBhlZmRnKAjU8IlIiI6tmfYr4kZs3b1b7g3s5xEN/QN8/EAshHiJcxr8mvyJFxUVyxcBz5bkrH7BZenbv3l2JkFp4czf27vnuJlJZkRiDo06dOilREWCbThIGUQHxXcE5bQerJFuoD3dNelYWbHWPNf+vv/6q3GmR7NJdoHwbNWqk1iEe6/i1VbFKhSiDcBm433wt+RYh/gzux4z0NMnJzlKTHuHhEadNzECQ0/GoYcnvLdd9Dawu/1w1Wz1nuzZrp2Lke6I9cEcbC/FaT8SiHdHhbvC6bt06WzusY4bjFWEUQNKh49I+tLG0bdhCcvPy5MPfvlBtDvoliA+uQ+jAc0N7U8C7Qv8uPgd8bXLr/fffVzHC0Qb369dPli1bVu5nP/74Yxk8eLCa4MaCUEBlP492tGys8XHjxjl9PNgvJmFRprNnz3boeYF9op8Jy1SEucnMyPC5cieV41tPIT9Bu705S25+nhxPM9zNGtfxbmPmdVoMEgmva2QT3z2/ymXqdRHVB1z5q1KmOrlUhpkiqs2d37ctUS1bT9EZbViSXEqHmvAGaYdE9hgxC6X7peV+DHGhJ/QeLa3qN5WCwgJZuHeN7D1RtZh+pHI++OAD6dq1qxKSsCDD99SpU23vf/TRRyqTqRbZdAzKypLkvPzyy6d1fiGWIVHY0qVLTR28wDIO1nywPtUCoCusXLlSDXjq1Kmj4sH5uuUpBtI6UROyz65da7RLGCynF2XLVe8/ILkFeTK8Y395+fKHlOWFI0slT4ABPWKsetPSBuKiDj+AmKwYQKEMMUh97sJ75Kzuw9Wkzq2fPKGyKJvN//73P2X1q0VOd4O4tHDzx+AQA3JY37pCYFCQutdq1aqtLL89mXQKzxXcn/feayQAA3g+lX3+3HrrraW+9/vvv6vzRnxehE4gxJ/aQfvkUdBycH8ijqMjECca4htEH0wsebO9S8pIlZ+XTVfPV/T5RnWxbvuLNgoxpnUZIq41gCD9zz//2Lbr5Imw3tcTkfCA0JN2eAZhEk/HBsezWK/Xq1NXzuoxXAZ36KOeV4u3rZKFu1bL8BHD1WfgBaJjjOP6aeEOIWu0oIrXVatWqXVMmuoJM3gguPqsdzeTJ0+W+++/X55++ml1zCiDsWPH2pJ5lgXlfNlll8mcOXNk8eLFymNozJgxp8X9hmhqH3P822+/rdJ4Di7+uIY4HvQHyqLiDMfGSb4KnYGkU57px7Ad9AwUUT0MHpp4ILrifnok9YR6EMaER9ks/WoscN/oNMFYX/9LlcvUaxxaY7w2sm5SqeqUqRZR07PNE1HhugKifdwS1dL1NMECIqqOhdqsv0hM4wo/CjeuiX1GS4fGraVDq3bSuE5DzxxjDaRJkyaqQwYhEcl40GmcMGGCzVICMSXRIX3ssccq3M9zzz1XqtN611132d7bt2+fvPrqq/Ldd9/J448/Ltddd50px56Xm6sGjQEBgaoj64oQqKxXs7JsZaBFNKsO4JwZQOsBHhIp6UEU4pRCHAChkeFy2+fPyIn0ZOnctK18fPMLXneZhMURBpdWsTzCcegF8V5DQ0LljSseldbxzVS53fDBI7JsuWH5AqG1utYnGHDPnDlTbrzxRvEkqOdoqzAIhcU1XBJdsfhH+SDecHhEuEo6lZWZ6XZLHIgW//3vf2312Z6bbrqp1PMHzxsNzu2OO+6Q//znP/Lee+/Jbbfd5nJsWOLf+HI7qNz3s7LUZCLCbURFRzt8nm7atEmJQbC069+/v9fbusycLPlp6TTJzsuRhNh4OafXSDWJbgUgOGq3e3gn4HmB5z1ihmMbnpmIZQ0w6QbrSD1RqeN0o5x1/G4IcjoMDvopepygxS77thDvQUQd132IkWz14A75Y80clWwL4Vh0qBpMfuoQDAiJo38XIr0OYYPf1L8LMfXAgQNqHeehPS5wbt6yonzjjTfUsxv3QseOHeXDDz9Usc4//fRTh5//+uuv5fbbb1ceMxhvffLJJ+q6zJo1q9Tn9PXRiw7N5CraGwmTJhDIHYHrBe8MiK0QUnNz3StUsx30HNboldYgMFOFCu6KVcWxVONB1iDGyE5b4+k8sZRLf1XK1Gsc22y8NjRmGa1KVcs0Msxcd34kqIIltr1A66tYup4mdPO+iLrhV+O1c8kkSSWgMz22yyBpFVhfAmqxKXMX55xzjowfP17atGmjZqhfeOEFZZ2yZMkS9T5muh955BE16KoIiJD2nVb7uJmYwY+NjVWdPghTrsZjdJhxOCNDMjLSlTsVxBxXB4Rwi4MlA/aFWJm+6LqPwQMSJeGZg4EdrE6xDeWPZFgA56XF5Wd+eFu2Htol8dF15Mvb/22JSVszY6K6i5ioaPn8zn9LREi4rNy7Uf7YscA2EF2/fn2pWKquMmnSJDXwPuuss8TToMwxyMe9g3qE83EFfC80NExNYOTl5bo10QZEjSuuuEJZ8jkaEGPgbf/80WEb9OARA10MvGEBiPuBceyIr7eDAM/79LQ0FV4jOiZWhdtwlDwK4L7BfQK8LaDiWfnXmn9UOK+4iGg5r+9YCQ4M8spx6PLB809bGOO643rhuQFREuUFAROJ/7AN61og1X+b3RZ2bdZezu8zRpXL3uMHZfLivyQrr3KBzj4RJLxrkMQQIL+AFl1RD/QxwxNExwRHH0I/G90trELAw6QFXPI1OHf8jb6ZM2ByAxPIOM+yFqtoV2FxCbFQh1ioKngm4NqgTqBulA1jo5NOwcVf9U3T091SfmwHPYt1e6V+Cm4kVGxXGqhjacbNXT/GmF2q8di79O9dXKUy9QrZySLpR4z1eMM9w6pUtUwjQ8NNdefXCarQSfBGB8pMLF1PG5XMWB5ej56R538/7bDIPmMwIp1KJkmcAA1+g/j61ixTPwSDCVjJwBUc7oyuACseWEigc/baa6+VmkxA5x0DR1hOwI3t//7v/6p8jMrNOjWlJONwrHKncgW4fSF2GDrdQ4YM8cm6BYsSnAOOHZ1glAXCGOB87DPa24OYc1/M/0Vtf/+6ZyQhzhqhg1BPEHfMkpNPdiQ2aCavX/WoWv947vcye+NiNSCF6AIQMkG7TTorjqAuQ0S95pprvBZOwf4exbngGYAYfa7EOsWxQ0gNCKhtywZuNrCggdBsP+Aua6GEOMY4j0cffdRmZQ4wkISlE1xqETIBg2pteU6IL7aDAPvG/YZHveG+f3ofGs8iWLrjnkT9hzBsBVbu3qCEQcPraIxEhHguFBaEMEyiquNYudKWiR2iohYwR44caROpYKXsifjgjtrClvWbyqUDzlYTeMdST8oPS6Yoy93qgnPSAhtC2ODZCdEPIh36CKgv06ZNU6+4H9LdIArCEhb7xiS2Pfj7yJGSsXQlPPzww+qZbt8uwGL8iy++UNapr7zyisydO1eFyzFjgg8iJbx7UE8ctXMqkVtsnHLrN9z7zZ1UZDvoWfwztZ2FwaDf1QyHeDCC+tEUURVwL2w7RmTNtyLbZkhAqyGmZo1EQwlTdr1uGjppT0wTkdBov6unIDzYECzMaMTtxdiI0NNnz32NqpapR4Coj0RnOSkiKftE4pp79vc3/W6It037VurK7zNl6kfAmg6DRVjTYZD1yy+/KNcqZ7n77ruVKxmEScRYROcNrkRw1bKP+wjXInRCqxo7uKAgX1ndICYjZvxdeWZgAKCzz+sBkScGRmYBN0wMrtD51ZanOB9HLl1l2X/ysDzw1Utq/c4xV8mQDn3FKmAwgg6/lS1RNRN7j5Yl29fIZ3N/kjs/fUbmPPW1zYOoT58+thh1GLThfsKgBfdUefUd4gZcfK+//nrxNjqEAe4P7bao7xlnMCxxoiQwJ0dNcsAqB1aqZgBBC+EpdAzCslx++eXKWgz3BpK3YGANy9qff/7Z9hnE3IM1Ic6RA0fiy+0gwOQZPDHCw8KVC3/Z+xQCDz6D80Ccbyu1dRjzztts3MvDOvWXelFVc7V2VTiFlSkEMC3eQSTt0qWLrWwQ01bjjfFIeW0h2phLBpwlkxf9VSKkTpWL+p8pYSXjsepiH4IM4j/AJBruBZQNBGc8fxHiAhMLqFdlLT+9ASYs0DbA6lQnhgSXXnoq5wKuL/pICJOAz0Ecrw6YMEQ7g7Zx/vz5KoarDq9gX56wCs/MzFCTHFHRMabcf2wHPQ9FVA+DwQ0yxfXt29cpywIE007KNDLqNaAl6inajbWJqAWjnnGpTCsDDzPM5pjOsS3Ga30j6Lc/1VONbrSzcqvvhgQyc41ZssgQw8LVl6lqmXqEwGCR+h0Md34sHhdR/zJedbxjfyhTPwIuT2vWrFHWjT/++KOyjIMQ5OwAEokBNOiwYnLqlltukZdeeqmUm3zZzqYrIM4UXKSQbdjRoLEiMBuPegQXd18S5TFggXjasmVLNajRVg2unAOSs93+v6ckNStderbsJA+de7NYCXTmvZ0d2hWevfAeWblrvazfv02e/P5N+eimF9R2+4EvrEQwkML1w0ALiTK0IGn/OSTEsFpGXwg7eiCNARusguDG6LR7f1iYOvf09DQpLCiU8IjTs4O7AhKj3HPPPfL333+XGijbc/PNN5caNMPSBoNlJFjRyVwALAAJ8eV2UMc/hft+VGSUsnwr776BcAjXXatYn+ox75+r50hhUaG0adhCujVzn9ce2n24p0PoQtuprfJatWpl+4yVwvhU1BbWjYyVi88Yr1z6j6aekB+XTlNCamhQiNuOBaEnAMRmCKh4juPegGs8RFTEXsezHpaPVQHfw/exH3vwt443Wx7//ve/lYiKicjKJpJxvfFb8LCoroiqQVkgtAfaS0w84r7UoTL0+5jozwkINGVSke2gd7D+1L6f4Wp8rxNpSWpwFB4Spsz1SQmtR4ggwPixLVI7db/lY6aViodqcVf+6sShQz0F2Xm5prrz6zABvozlY/sllHQ0DhmZuj1GbrrI3oXGevtx/lWmfgIGexDmEKcNAz4MOt5+++0q769fv35KANfuzdVBJYDKzFRxppAwIyzceat1tK2Iu4WOLgbClkz6VgYM9pBsSFs1QojDKwYVOgabK7w3/UtZvmu9ijn9wQ3Pez2RVFlgMTV9+nS3uIC7g5CgYHnz6idUzObfV86SmesXnfYZTPgYg6hIGT16tHp+weJUW5BYTTgtD4j32s3TldhpQcHBRsbi/DxJT0t1KTRAWeBui4kEWPihXLFA2HrnnXfUuiN3STx/AAbNhPhDOwhwH2JyAhOKsHQrK6DiffwW7lXcuzh+qzF30zI5mZ6sxrtjug02zeJTt5d41mDiCmWA64m2H9sgBCIRkZWprC2Exe7F/ccrY5YjKcflxyVTbTkl3I2+TrByhEAHYLGt2wVYPCYlJbm0T1wf3Gv2SaF0kqiKwmjAkvv5559X4QZ69+5d6e8gmRaEX4iKZgLRFOVy6NChctsaTCpGR8fY+rBVbfvZDnoHjjw9DDrLMKd2dtB/LC3J5srv6+7MphIWa2TxRpnumOlSmVYGHjYw68diarwSmyWqtRvqqtTTspaoyBKJmWTzRFTvJzjxVpl6jASj4yNHjEQoHmPHHJUgTuq2EqlnxA/0mzL1U9CRrU7AeVjzmGFhWIykGfaDxmDXrC4wA4/symhbcSxWbmPhQo1BCY4RLqDapRTufVU9bsSce2vqZ2r9pcv+Jc3rNRKrAWEbrvC+IHBrOjdtKzePNFwGH/n2VcmswDNDW9DDVRRWYQDZvyGqWh0ID7DUQn0sz4WwPLRLIwI2IjZcVWPewpIGbtZ4pugFA2ck18C6o3qD7cDsQTOpWVilHQQYq8A1GCIMJijK88yB9Sks4xzFxfY2cEVfs3eTWh/fY6gtPJgZSaEQPgEWjDrDPV5RRkgI5Cv9R2faQiSFvOQMQ0g9nHJc/lg1q1qTVNUBfXPtpQDrSHh54prgWmDy11nrbSRJ+vzzz2Xz5s0qTie+i9id4Oqrr1ZhMTSIcfrkk0/Kp59+qtpUxE7FgliuAK8PPvigSv6ECQUIshMmTFCTI/AIcQeobxCWURfR5ywrlJoxqch20DtYy+SgBoCOIh4gAwYMcMr91JZUKtr78UUsB+Ki7lkoRVumyYLcdk6XaWVgcIpA2vqBa589s1oc2+ozIqqr9VQTFhSiOiRoBBAXtbripz9Zola1TD1GQy2iGp1Yj7F1uvHazjUrVJ8oUz8AHVQE3UesMAh533zzjZpggkUE0J1UPZuNjhxiKeHzcOlCFtWlS5eqZyq24+/77rtPrrzySofZQ51FJTNIS1XPG3RAXRkIYcYeLpOwxrE6sDrB4AOWHOjsYlBSWQZoZ0BH/rHJr6sJr8Hte8sFfV2//zwBrqsV4qu5yr/OvlH+WDlLDiQdkdf++FieufDuCj8PQUO7jiKpDAY9aEdx70BcrU58RHeDeqldkCFUODshYcRdi1bux3BpjIyKcnkiBM8UTCTYgz4bjgfbMWjFMwuZ1bENseDw/EGSNWfiBRNi5XYQGOJLmkqi6Cg8BsY0aD904iorgvYIyfjw2qFxorSIb1KtfaEMNmzYoJ6j8DLBeWt3alhL+iLOtoXx0XXlwn7j5LtFf8ruYwdk5oZFMrrLQK+K5hBU9bXBOtozhE+ABSVi8pbXf7vkkkvk+PHj8tRTT6n7C20hLEx1silMNtp/94MPPlDeRRdeeGGp/SDW5zPPPKPqA9oAiLKIgYu6gLA5sFx1Z+gGneQT4Q7QrpcVNfF3TEyspGek2+KkujKmYTvoHTjq9DD2s2DOcFyLqIyH6lhEnfG01NqzUBKH/9vas4k5aSJpB431+HZ+V09LxTwLClExUbNyTRBRS2Ki+kMoi6qWqcdo0MF4TdlruNiHeCCoOGZct5WIqG3H+l+Z+gEQHDHbD2szxEpChwsDR7ghgw8//FCeffZZ2+fRKQPIKn7ttdeqjikC3qMDq90I0Xmzjw9XlQRSaampyl0xIiLS5QRS6FCig2p1cQ4DhIMHDyrXNbi1mTkImrZ2nszasEi577906YOWs0qyF5FnzJihBjpWSn5SGcgm/fJlD8mV798vH8+eLBf0HStdmjnX9uvBPgZbyJIMKx5Y32AwaZ/cxCpoARiTWhBrMKCzj/9W2Xch/AQEBighyMyEU9olFHHx3nrrLVWGCHlxwQUXyBNPPGHabxD/x4rtoH0s8IruGzw3IVpZ9RkPth/ZoxIcBgYEVCuxISZxIGRDmGvTpo2tzfCHJDmutIUNY+PlrJ7D5bcVM2Xt3s0SGx4lfVt7P3wD6qC2TsWzWVsCw+UdkxOIO1yWO++8Uy2OwESGPZWFxsB9oCc+PA3aRLjbow+6adMmJSbbG2nVKjOpaFbCKcB20D3UKvaV4EsWAB3a5KSTElenrkcG7bg070z7XPIK8uW6YRd6JEOhT4Gq+1IrkayTIjf/LdLMiO9RXfCA0YHWTbNE3b9M5L+jRKISRB4usUj1Uyb986OcSE9WsXmaxzufad0Rn8yeLMmZaXLpgLOlaV26HLidV9qKpB8RuWWmSFMPZOg+uFrkg6EiwZEij+0xElz5+XOdVI/8vDzlwh9WTtbh8oALI2KJ6k66VQeUsKKAazSSpeEY0Q8wWzyEe/mQZy6Vg8lH5d4zr5VHJtwqVsWI85euBsFWvWYVcfPHj6vYqLD2/eHe96q8H2RAhkCAuH0oD+0eaTW0FRjizOEYXUkqoi3qcF/j/vbF602Ip0CblpWVqZ6Njiy4YbmHZ4YVY5+WTW446Z+fJCUrTc5o00MGta88jqU9EKXhkYTEkPpvKyXL8mZbuHLXBmXhC87pNVLaNzqVNMtKIMwELKbhxQARHBMV8fHx4o/gOm7btk1NiJZn/ZqTnS2ZmRlKVC0vORzxPhwxehjM1M+ePdup+E/pOZlKQMXAPi4i2iPH51OgEWk5WK3unPlZlWNqeQQfcuV3tZ6WFxc1K6/8OHDONjT+5s5f1TL1GPVLrFGPliRBczc7ZhuviUOrJKD6RJkS08DgKC0tVcIjIl1KIAXQjiIEgBZ5rAZEJ7h6QRjTcX5hLesOoeytKZOUgIqJqbvPvFasDK5VdHS0Ja+ZMzxx3h3K2nf+lhWyYOvKKu/HPvHJrl27VDZeYDU7CH2dcK+5GtstKChYxUnNyc5RiTasdm6EWAGdTDE7K1MlpSkroOokShCifMF1fdXujUpART/fFWtJxDNHsiIIUToECtpLfxRQq9oW9mrVWXq27KTWp675Rw4nHxMrgvPSsYEx+QbLSe01hIllfwLXD5P5qLcQUzG5XxZMJEZGRSuDgZyc6o2lifugiOphMDBCfApnLJ6SMlLUa2x4tMr0ShzQyhBRm+bvtrYV2fFtxmt8W/G3elqW8BDDpQgxUatDbkGe5BcW+JU7f1XL1GM0NDpbcnSjZ35vZ4krTuIw/y1TYgqYmc9IT5Oo6GjVyXYWuIlt377dNtCyWl3RiUlgVYTBAjrYcOF2VyIlZO2Fezn4v4vvq3byDk+4MP7222/lZiS2Os3qNZIrB01U6y//9qEpwiAsy+AOjPqCxBjVSW7jLjARgEExRA7EJnQWTBzExMaqc4ObMoVUQk6B+wFZvHUyRUeTbEgYA2EGrstWt+ZDH3/ZznVqfXD7PhIcWPGkIbKoo00HsbFIJmlMvuNZY7W23Spt4fCO/SWxQTMpKCyUP1bNrvbYzN2g/4MJAEzEwQMDfSKcM669vwFPDdRjULatQ58VkyTGhEkW20IL4t9PHAuiMzG6IqLWjTRuMOKAEkvU4COrpXaRhQdZSbuN17qJ4m/1tFxL1NzqNdTaChUxVivrWPl7mXqM+h09Z4many2yb4mx3mqY/5YpMcXqBm6LGDQ6m3hGdzgRjgUdcqvG2YMbIo4V8ds8MeB9d/oXKplU38SuMqar0X5aGYhqiAHny4nj7h1/rUq6uGLXepXkwwwwsISAghhrGGxhsIl4jVYDEx7lDRLLQyXZiI2VwiIjeZy3sksTYj137jQVExxtYdlnos5Ej0zjOu6k1dmwf5sS9WAs1LFxa4efwf1/4sQJtQ6vI22ZiHP0V6tTM9tC9I/H9ximyjg1K12mrpnrE4IczhMZ5tHOwUsHk+EAgqovHL8zIC4/+qcIu4EwTmUJCja8M1ToDnpnWA6OPD0Mbn4ENXZmJulkRqp6rRNpzQGgJYhvJ8UR8UqQKdizVCxL0i7jta4149FUp56WRVs2ZVVztjOzRESN8ANX/uqWqcdoqEXUTe7/rX1LRQpyRaIaVtlC2yfKlLjV6qY8kPUVMeHQQdVuYlY5p9WrV6vY2xBNkQDDU67qh5KPyZfzf1XrD51zs8+4yPuygAoaxNST64dfZLNGNUsUxPXTydFgjYpsx3rdKiCZBiyLEO9u/vz5TrtmYuAfE230fZFEjkIqqcmg/iPZTHFRkWoLy3oq4P25c+eqyRTEzLRivOSy4JhX7lqv1nu1Ot1LRIclwLNj/fr1SiRGVnYrJtezelsIY5Rze49Uibt2Ht0ny3auFV+z2Ozfv79aR2Z5uPn7E2jHMfkBygql9M6wLhRRPQwavj59+jjlqpecqUVUWqJWHBfVCCZee+9CU3aJzserr76qFlM6InjgnSwRUeu0FH+rp+6KiZqR6z/xUKtbph4jvr1xT2UeF8k47t7f2jn3lCt/FcUcnyhTUvWYyOnp5VrdlIcWW+DuXLduXbEK6AAjeYIWvjBgxLp2R/QEb0/9TMVZR/KOge16iS8Ay6MpU6b4fNzjO8ZcJVGhEbLxwHaZsuYfOXjwoFx55ZWqjsLttkuXLrJixYoq779hw4aSmJio7huIlXCjtxKwlkUmZvSpnBVEVbbi6BgJCAyQ1NQUm6UdITVPQE2VWrVqq7awrNiIZyO2wWpPW337AjuP7VOJYyHwdW56elZ2WObBdR8TMcOGDavx/bzqtoWYzBvRaYBaR3zu/Set57ngbDgbhItBe4AJaX+ImYp2Ef1CJA7DZEjZtq60d0YahVSLUGNEVMxcYcBiv7z88ssePw40dHoA5aw7P0XUiqnVYqB6rX1gmSn7w6D2wQcfVIspA9yMoyL5WRgRiMQ2F1/AlXpaXkzU6rvzZ6rXSD+Ih1rdMvUYweGnhH53W6PuKomH2mqof5cpqaKAmiaFhQUOrW7KAxbJiBEJ1yeIU1ayxkHiqD179qh1DAAgnHkSDJi+Wfi7Wn/oXN+wQkU9wL09btw4nx9Aw6PoxhEXq/UPZnytLJBRP6dOnSqbNm2S119/XSWPqi64rkOGDFH7gmi/du1aSwy4cFwQesHChQvl+PHjTn8vMjJKggKDlCUehVRSEy1QAwIwoXB6UiFYaeq4yL6WgG/5TsMKtXuLDraQXRCRdKIdJN+B5SnwpfNyF5hIHj9+fLU8M7o2aycdm7RW9erPVbOr7THoDXTCTZwDwjVhHX0+ePf4OghPgTwP6O+UbbfRF0KM1OLiIhXmxgrtek2nRo08n3vuORUzSi933XWXx48Bg7y//vqrUvfT3Pw8Sc82HghxEdEeOjrfJD+hh3ot3r8SPQ6xHCdL4qHGNqtSBnJv4Gw9rcidv7rBy3VMVH+xRK1OmXonLqobk0vlpIocXF1tEdVnypS4HPetsNBwW3RWIIe4gs503759PS5QlgfqJawCMdCFZWzXrl29diyIhYokHkPa91GWqJ5EC18oD8T+AhD4Nm82Yi8j7MKSJUZ8ZAyg9Tpc9latWqUsM3RSCYTvSEkxJpinTZumBk4YTMGKE/vHbyFzPeoRtlvp2XDt0AsksHaArNyzUeLbNJFJkyap+oq6gVh3sCQ1A0z+QnTAYBNiKtYxyLTCoAvHAksiTHLg+jhzTPhORGSkBAUFU0glNVBADVSZussKibBIRMxhTMjA0tuXQILDg0lHVNLkHi062p5POGcdlgSheHw9lIvZVNcjA3VodJdBUjcqTo2xZq03J0a3N0B/D94NOCfEl0eme2CFdq6q4FwQugDXec6cOacJw7VLvDNUP5lCqtepUSIq4sRgJlwvmMGoCMzsoaOvF8yQAe2KhI6c7szZr6Py26/rz2uXi8GDjWQOejs6+fbruCngyo9tEKTg6qC3Y9GDAvt1+8EC1vWDtrx1HJ/9uqPzcPacHK07Oif7dX3sZpyTNOgkxYEhUisnRQqOba32OeG6L126VLmSYL3a53SyJHZLnZY+c53wOmjQIDUb5up1Cg4wZpQzc7OqdU4Z2UZHKiQg2LJ1z5VzQuOIzi46hVa+n4rqGfFJi45tcV/dQzzU4iIpjmshEtukyueE5+kZZ5yhyrQ614lYS0DNz8tXVjfOCqhon9HhxPW0QhIpHAcGgujkI86VFrW8RUpmmvywZKpav3f8dW67dkj+oe8xWBvqcsBEh45tt2PHDvV5tC3a0wNCX8eOxuRNo0aNlMimPYg6deqkBtiwsgJol9CXA7j3IZhj33hft1fakgl9tr///tsog5QUWbbM8FbBMWHQ5WngTnlOr5FqPbBtnFx00UUqXm+PHj3k448/Nv334AbbrFkzVT7oz0CstgLRJfc2Ytvt2lUS6shJIbWouJhCKvF70G8xQlgUSWRU1GntByaV5s2bp+5tX0yutGG/kSSobUILCQ8OU+eC5zXa7w4dOnj78CwJ2tUZM2ZUW0iF1e/47kPVM3jLoZ2y9VCJoY8PA++e7t27q/thwYIFlgtn4yoY06AfhDbcoUVqTKzq66RRSPUqNUpEhfs+Zr/RYX3ttdcqfRC99NJL6oGuFwTHBxs2bFCvsKLQlhToDOrMcYjRsXu38VBCpx1WEQBZeNGJRQcS1ik62+Ds2bNtlhV4QKIhgSs/9hcVElEqDgoGIVgH+Bw+D/B97Adgv2iQACxu8bsAx6EHETg+HCfA7+D4q3pOOiMsfrOicwI4dpyDmee0fNUaqdW4p/p738Kfqn1O//zzjwpgDQuRmTNnVvuc8o5sMSpU3VY+c53gYogBLgYqrl6nVctXGutJJ2XBwgVVPqc9+42B8N5duy1b91w5JwTGx/2PzrCV76cdaYbbbO7+de6re3sWG/dGQq9qnRMydkIcQJlW5zoRK7nwF8rGjRvVNXcG1A+IanheW8XlG277W7YYz/2EhASvh5uYvPgv5RnQoXGiKVao6LzriQy4i0PEBrifIHjiOuj+EkTOsWPHqnVcJ0wkAUxia8tLWFFpkRTCs7YkxkACg4gJEybYLK3wPX2d0S9D2eJvWKRgHZZZEFrxTMA+YeGpjwMDLZCRkaFi7enng36eQVx1tt5VlRtKEkztyjsqTRKbK8va2267Te6++275/PPP3fKbKAsIzjAewDnu27dPrADcdbXI66woumnTZikqopBK/N8CFfkU1m/YcJpIgnqPMEb9+vXzSTd3nN/Ww7tU/y2yKEQ9t0eMGGFrA4hj0DaiLTQjTFHD2Hjpl2hMVv69foFk5lYvh4UV0KEaMfGKvgGMoDBJ56sio47pjwlpPRbU4NzWr9+gEs3RItV71CquISX/xhtvSM+ePVXDg8H1o48+Ktddd53aXh6opPZZTlFUBfl5EhMbpzr3ugOHDrz9OgZ1uJH1OhoILNpSCy5o6NhjUIDtGIzgs3od+164daVaECtmTNfB6rvarQHreIiq4ylZR6Ok3RmVNVlRkc06y9E6PovvV3Qezp6To3VH54Tv63V9HmacE67RwU+uldZHp0pR7+ul9sS3qnVOaNh1cHYITxj4VeucJl8ntdb/JDLuBSkacIdPXCcMtGDBc+aZZ9rcAp29Ttj+zowv1PotIy+VmIjoKp0TskgfT0+SCb1GSWKDZpase66cEwbnGDAjppFu7C15TgdWS+BHw6U4op4UPrjNPXXvf2eK7F0sRRPekdp9rq3yOeHex/MUZYrfrcp1wm8mJ52UuDp1vS521VROCahw4Y+x3R8QzGFlU95AEcl5IAhBIPI2qGMQ5uGareusFeoTjmvA0xfLnuMH5LUrHpGrBk90+dqg/CE64p6Lj49XnfqmTZsqAQwiJDr7EDvdZ52crtphdwgG2DcSU+ActJgKSygMvlD3YCmKZ5JZ8XVxPvEXdpXA+Ah5bOJtcve4a9R2iKiYEFq82Jhgchew0MFkHix/9bX1NgjbgH4X+ujlAaFeWyCDzMwMZbGO54VVJk8IMdeF36jvuEdR/yEyos3DM1dnKvc18MxZvW2DzNq2RKSwWK4ddJ7E14v39mH5BGa3hUhS9NWC3+RY6klpk9BCjbWs0B6YBe4ZeKUgaaP9WMLXSE5OVqKw7hfrZ4GS7+CZkYakc7WUm78/XT9fwPs9/GrwyCOPnJYsquyirUHuv/9+ld0PMcluvfVWFcT/3XffLSWSlkVbR+hFd+D0wAgdN915s1/HjWq/rj+PdVj3QUCFtYTejs65/TqOOykzVW1D3BL8rbfrdWC/js/ar9sP4hyt4/js1x2dh7Pn5Gjd0TnZr5t5TijLpgMvMP4+uNKUc9KYck5JJe5qdVr6zHWC1Q7qKba5ep1QxxGCAp/JKyyo8jnlFhgZF6PCIixb91w5JzxPUKb4nJXvp8CG7Y3vZp6QwNxU8+teYZ7IAeM+rd1yYLXOST9P9W9U9ToRLwuoGelK1IYgorPWYzAJUQniSln0hACsPL0ZZ1SjxSh01CG46UkDK/DP5qVKQI0Oi5Tz+xoWoZWhrUwhJMKCHqC8dVgODOAhoAKIqe4SUAHKFJ471XVhLA/067TFB8TT9u3b257X+jljb02PAUx1bA9QT0IPGeX7+dyfbWWK3/aEhSgMCSCg4nfh9ujo/vI0sBDW5e7IuhTb4E0AAUG3BxERiJEapAaQugwJ8X0BNVX1S7QLv45njMkVTPbAmhyikK+iEmEtn6fOtVurjhRQvdgWIh7tmd2Gqtfth/co135/ArqNvlcQM117x/kaCHeE/iTiw8ObDuEGtdFKrVIxUqvXNyGuY41efhV54IEHbK6l5S2tWrVy+F24QaAS6my5nsSZ2ZC0LMO1NSb81Mw7KZ/azfsaK0c3iOQZsTQtl1iqruO6aFWqM2sXVpJcqjqZH3ViqtBg3wqYXxE+MRMaHGEkQQPHjRjDpnJwlQiE1Ih4kbqta0aZEoegwweLMrTFZZNIYX3o0KHKK6BsUhwkEED7js9UFtvc3UBcQ6dWu5F5+3jK8uk/P6rXS884WyJCHCfcQtlql3xYKcLSFGDAjpiuWizVmZI9OfkAoeyss84yzRK0MvRkTuPGjdXgBQwYMEBZpELMg6CK+ggRANe+KoOWgS27S+1CkYPJR2XpzrW2Oq3DDXgC3DsQLiEiQ5zBOXkLHbYBcWpR9+zLVIeHGD58eCl3Xx0jFd+F8EQhlfgyWgTBfVk2iRSMGvAcRpuHe9VqbYwzHDhwQE0SBQUHSUi9SOP508i3xkTexh1tYf2YutK/TXe1PmfjUsnJL9+wzJdBvFRMuqOvaZXY4K6CePHolyD0hf24RyebQhsIgwQKqZ7Dp0VUuJWhE1jRohMXlGXNmjWq4qFj7Ens4/xVRGp2hnqNCaOI6lSZLlgrxVENRYoKRQ6tEcuQlSSSY8SyFCTR8RGcraflEV4yWNdCqKsgizQWe0HW16lumXqU+u2M12Ml8XzNZE9JNtAWAzASrjllSk4jOztLDQqjow0L1LJAPEGHEFZox48ft2XzxuRomzZtxJsg1AtENfRDdFIkq7H/5GGZtcG4364den6p91COcNHHOUCogjioz0fHLYWw5U4rU2fANYcLujdFMgxateU6LN9RJgh5Azd0HWPVFSuXf933gGTtNGKcfT7zR/nmm2/ko48+kjvuuEM8Ca417jvUg02bNnn0t8s7Hrj0a0t0WETPnTvXJqSWBZ+LjES4pVoqHAgHj8SXEyqKFKuEimVdcvG+Dp+i7wdfQXs1wGMQy57jByU3P08iQ8OlSZ2G3j48n8JdbWHfxK4SFxmjkgEv2rZK/BHUPTXhVuLi72ttBa472micAyZcEdbj9GRTMVKQny9ZWZleO86ahk+LqM4CN4i33npLJUCAe9rXX38t9913n1x55ZU2SwNPgRsA8fsqsp7KK8iXrJIgz9Hhvpd10dPoMpXGRpIaOWxYdliCpBIrVAi8wd4djJpdTysirMR6tKoiak5erq1hCAl0PBHia1S3TD1KfDv3WaLuK4n51/yMmlWmpBQ5OdmSo7KuVxzTEANKbQmINhzCFSZHdaIhb4AOOJJfIUMy6p5VE2L8tmKmOlYkk2rVwLAuh9ink7jBNQwDcoiCSP6khUJPWX06A4RdhHWwShIhLfYjXqpOYIWJgMxMY+ACQbIyQbVPnz7y6FV3qfWfl06X5/7vedVHveKKK8QbtGjRQiVcRV3BQK2iMFfuxBBFI9VAFwk+URdHjhxpSzRW3neUFY6Kq0wrHOKb3hhFhYUOYxqivYNogjYP41V9P2hx0spgcnvWrFlqwqlevXqqDYeIClo3bGGZkDe+grvawsCAQBnVeYBaX7V7o4qR6q/ohGwASWYRb9Tq4F7HcQ8ZMkTdM7iXECO1LIaQGiu5OTmSnWUxj1w/pUY8wTDY+u6775RrINztXnjhBSWiYubfG1RmNZVWYoWKuJJYiJNl2rCz8cdhI4abJUg9YLxq92gfojrWfVr4zCuJa1plV/6S2Kr+gs9YTLpLRMUAd/8KY71ZSQiOmlKmxEZebq5kZmQoqxtnBHD9GQhV3oxjC4tDiKdAC7tW5veVM9Xr6I4DlCUvwIAWoh+eq7A4hWgFrPqchaALgddKwm5ZMMDRMT1RV/WxItEYLEgc8cDVd6iY97VDA+WDHybJTTfdJN4EAzAd91ZbgHsLlCFiJ+J4nHk+oO5iMgZtQVZmJoVU4jNA7MjPy1MCqiNRESFU4IaswbMF98WcOXNsk2FWA20Msonj3oXwY+/NsP/kIfXavF4jLx6hb+LOtrBFfBNp16iVenbO3LCoRjxDIUYiNAbaPPSJrAhCD8AQENdDX3d4bKDfBotaHatdg7YbFqnw8oKYStxLjRBR4R60ZMkS5X4HqwvMtD/66KNesWRBJ2/GjBkVDvx1PFRaobpWpoX1O5oiouJB9fTTT6ul2o1VSolFSmwT8SWcqacVERJkiKhw26kK2SVxefzFld+MMvUo9Q1BQI6ZLKIiyVp2skhAsEjDLjWrTIkiPz9PuS5GRUVLUMlzojIQfgfuS7169VJxI7Vbv6fRifasLDpqth7YKev2bVVJIwa17KEEYNCuXTtbIiVfANcasTJ9JeYlhHXEkrWvL6irOp6hvfXPOT1HqPVfV/wtVgCiR+fOndUrJgu8kTMAAhFEF8RAhQUOkl85Y3Wn3Rlz83KVhTshVgf1FB4ZEFDLTg7qGKIQS8p6OuCzgwcPVvGMrWKhbw8mjo4eParW7QXUzJwsOZGerNrOJnVPCcPEGm3h8I79JTgwSA4mHZGNB7aLP4M6iBAZsPBG33LlSiPZrZXAvY1JFHiuOOpv4tgdaRSBgUGqf434qHklXp3EPdQIEdVKoMJPmDChQnGO8VCrVqaBTXoYG45tFqmiBaR+MD3zzDNqKS+mrsuWqDFNxd/qqTOWqDn51bNE9ScRtbpl6lHi2xqvaQdFck20dtBWqAldRQJDalaZEiV2I3kGEsIEuzCJCeEUVgNwY4RYArd+uKJ7CvwWXCox8dq2bVvLCqgQ6zCAxesvy2eobYPa9Zau7TtLy5YtxRfBgHHDhg0+I6KWdZPXQgcEVIgfsLCEQAIm9h6tXqes/keFcbISiL8IQRh1yVOTVNqNH+WFex0LYh87+3xXVjjRhhUOxClCrApCZmRmZSoB1ZG1tY4hWh64N3BvIlt7edbungTHggSLsI5t0qSJ8vosy76ThtVcfHQdCfejvr2/tIVRYREq9A9YsHWFLS+F2bz//vuqbUT9hms9Yt6Xx8cff6wmDBDKAsuoUaNO+zzq3lNPPaUstnFf4DPwAnEW1FdM0ANYd1rBKhUhgSDsoq9ZXjgbnC/6xbD61olBNUHBwRIZFaXuR18I/eGrUET1MDoLbkVWNLRErWKZwmU+JNrI/H1im1iClAM+aYnqTD2tCB2GIre6IqofhbOobpl6lLA4kcgSV+XjJt5LB0tme5v2rnllWsOBMJKWliqhYWESGlp+jEN7MGBABxHu0vaeI7CmhBUBrrs7r70erOD3dWZ6q5YthC4c76pVq5Q75bT1C9R7E3qPEl8GAkPZbLS+Bo69W7duSuTDtUEsXdCxQSupGxkr6TmZsnL3BrESsH6DFRncCSGOuPsZi/1DcIbVjbbKwwASVr0QnFasWOHUYBBljTAhCBdCKxxiVW8MJEJDfS87QYAYjWjzdAzRisD9AU9LiEve7ANhYkhZlzZpUqHwq135m9WlK79V28KeLTtJTHiUpGdnyio3tEmTJ0+W+++/X3l6oq+CdhEhCmBh6whMql122WUqfAXc2tHvQ3JH+8RKr776qrzzzjvy4YcfqrYKLvrYJ+qlM6DuwmAK/SeEPfK2dTfu5UaNGjmdsBSTKGVFVBASEirh4RGSnpbq9XPyVyiiehgMdDBzWNHMfkqJiEpLVBfLFA+JhBIX4cPrqrw/PEjhyoal2jN+qft9MiaqM/XUKXf+gqoNYnJs7vz+I6JWt0w9Trx26d9iviWqTgJX08q0hmcfDg4KkrAw5xPsQbxEh7gsEHcw+Ny6dauyEHXXMS9cuFB1qhHE31Egf6uAwQgsKHQinoNpx2TLoZ0SFBAo47sPFV8GbTAGTL5oiVpencbAEcAitUeTDmp99vpFYkUgYnbv3l0NNCEAuwMMAnGvAUdJ2nCvo9ycjYeMMCGwwkGiKbYNxEpAzFDeGBGREuygf4uwK6mpqU7vT98vEI+0C70nwW/CMhDtZePGjSu0Gt93okREZTxUm3cCQKhBbU2MECraUwGhB3WSQoQ0gkfMtGnT1GQSQhPOnTvXVmeQcApgu/6O/pwrIMzMwHZG/3zZjnVVTg5cHm+88YaK/33dddcpkRDCJ/pzn376qcPPIxH47bffrtogxB3/5JNPVF8ACcsA6h2SMj7xxBPKK61r167yxRdfqASPv/76q0vHBi+n3r17K8tPlDUSkXsa/O769etVW6fj1VcGvKMwgYF6UDYpJM4FYiqEVH/pQ1kJiqgeBg3MWWedVWFDoxNL0RK1CmVqE1GrHhcVjQ7igmFxtQEq1xI1ponf1VO3xkT1U3f+6pSpx6nf1lxLVAjqenLDJEtUnyvTGgg6uYjNBAf4iMgop1zhEQsOM+uYja8oMzesErCYDTqiOE50yK0aPxSWG3rgBFGuVatWah3HPXvjYrWOwVBsxOmilC+Bjj8yVPvjAACDyHP6jlTrfy2f7ZJ44ilQnzCRgQH/vHnznLbucYXY2FhVFuU9GzC4Rf1GHcCkiTNWdxg4wuIdgpU/1h3io5OJaakqlA08MuzBWAMiCNqzxMREl/aL+8bTsa7RRuJZAGtZuGRX1q6jT5+caVjLNYqzdkJGM0EyTG01iSRA69YZfWAIdHodIqrOEg9BUfd5MIEFK2MA93dcX93XxSvEMwArSu0pg+e0FmQxAQwLfoBjgBCrt+tjcvQs7dAoUYVcgDHL0h1rTSsLHBtc1OFub/9sx9+wMnUGTOTpbPVadIS3hP0+MeGNOunsPh2B/aNdAp608oaLflVDL+3YsUOJx2UJj4hQ5YxJRXrtmQtFVA+DzhwecBV16lJpiVr1MtXJaqqZXMoU8rNFMo/7pDu/M/XUEzFRdVgAf6C6Zepx4tsZr8dNSi51ZIMRagOhAuoYgk+NK9MamjyjID9fxX5zNpYoBpTOWJBB3MGgA1aYsNowA3TS4TqGjjo6444yJnsL1HNYqsCKBR18LZxiEGVftnM3GzHDhnboK76OzvDsy+78FTGk5BrtTjkkhQHFSkiFF4zVQB2DlTPcdTHgN8PCExMBGFTjHtOD4srqP+5PZ10Tw8LDJSAwQLlOc/BIvD6ZmJ4mtWrXVlaoZYH4UZ043xDb8IxEvHBHQorZIOYk2l20O84kaUZCKRAdFulXxhEaPJO0SzomgDHhpIVDHb4F/QlY6wK03ToOJwRSLZxDlNZiOJ6J2hoR7T2sjvEMhoCKaw3BTT+bEcNa/4b2dMAk9KBBg2z7wu8A+zjXsHqER48WVxFDE8/jIe37qG2r92y0GXZVF4Sp0MmS7MHfEEKd4eGHH1bnpUVT/b3q7NMRKEeUmfaScHf7gfsJIijaV4T5qAq47hBg0Xe1HxPhHo2MipbCokLJzso08aiJdUYHNQQ8QGA9Ul4nEMkFtIBES9QqlKm2RD2yDi2Fdw8stSRmS3CkSKgxo+Uv9dTdMVFzSmKZ+VNnq7pl6jV3/uMmufMfKHHlb9ILrXrNLNMaBmISZqnkGdFOiZHosMLCBVY1zogqGsSP0wOKqoI6BEsgnRncStbN6MCjY4zOMAYiEJkxcHJkeYRn7pJtq/1GRMVgAIN1f50oSYirL+0atVLXeMHWlcqNTw+iIKhaKSmEvicw4MOAu7pAGHDFkhx1Hm6dKCNnXJfV4DEyyhBfMzl4JN4Dyc4gXCFrtv2El362Q0SD91t1gUjnStvpKhAK0VbCclxbQjqDFlHrRRmWlb6Mjj+uk2mhz4K/YVmK99CH6NChg3of4jY8WgC26zYbzzBXE1RWpS3UvwHrVm1ZCaEWyToB+lpagMUzHX0gcHLfUYkLiVJh8mauXmCJ9vfll1+W7777Tn755ZcKY++6y0vCnaFhIPpWFgPZ2WsNi2PUE3vQ/46OilbW47m55nuT1FQoonqhE4qAx+UN0LQVKkQof7LC81iZQvipVVskO0Ukw/PxgUqRouOhNjFNNLJKPXXWnT+vgO78ZpWpx6lfYomatEckP8e8eKhNzHHl98kyrUGgwwn3IcQmDAx07vrAjR8ioavAIhWDFQzwqmqRCusd/V1nLGs8yZYtW2Tz5s2qk4yYXRXFylq+a71k5+cqd7wOjVuLr+NvMVEdMbS9IXbP27xMXVs9qIVliramsZIlJZI/YdICVktVCUGAc0J9hihalYEjJhFgPeXMoBaDR1jBY+CYk1PN8EyEVNX1PTtb1cOyk4lo8xDTGrgqqpU3oQiBCc8OHVvTLPAMwn5haYnzcOV4tYiKdskXgfikQ5nAyhT9FJw/xC+8og8K60hYiGKJj4835Xq6uy1EX0eHD4BYqCejYbU6vMsZan3Wivly5MRRdf2r8/uom44mwPA3QhdUxL///W8los6YMcMmSgP9vars0xm0lwQmOhCH1ey44AhPg74nrIwdxQOvCigfbXVsT0Bg4KlY4RaanPVlKKJ6GDx8MNAr7yHEeKjVLNOgUJE4Y4ZNjpnkhlxVUn0zHqoz9dRZETW/sEAKCl2fvcsusUQN9aPEUtUtU48T2UAkNEakuEjk5M7q7+/gSlPjofpkmdYQcD0QixAxCRGbsDIwOIF1C9yRtLtbVdBialUGRwjMr93rrACEotWr/5+98wCTqjrf+EfZwi69F2kKCAoiighSREBBjC22GBNLTCxRE2MSE5NYkpi/mmISo1FjYiwptmg0VhSVooI0kd4R6b0uWyj/53dmzjg7OzP3zsw590657/PMswMsM/eee9r3nvd7vzkqcEGldOyxx7r6fxBxgHQ800GcHyAgPeWUU/I2nR8M631ihACPBpW36Zf0hXfffTdriiTpfoVyKZ2USYjiVMdpNFB0DR8+XPUJN771IXVvU9m3d29WKXsDFMhh4t49ShEdbw7jwESnX5sE6cjppgXHuwddZGfIkCFpjd0tu7fnnBIVVab2F8ViBU9TMHToUEWSAsgqDoPybS3k/o7q0FU6t+og3bp3k4WbVql9kracgExM1X6CdmKPpYtCAV0kin6VCL/+9a/ll7/8pSqqxSFyNEhfhyyN/kxIfhTCyT4zVUCSY43A2sOaYyrmQOnqtoCUW2gRAAXfdP/VoJhdWVm5KvR66FCQwZcpAhLVYzDw5s+f70yiNgpI1LTb1LSXY6ZK1GbmC5/43U/deKLqQKvqQOpBC4bm+aZEzbRNPQfPLzKWMkzp379DZOvyL9L5C7VNC8j7DS9CPAndAFUaG/JMST9IVJQUbKL5TDfqPYoW4TPKd7ut/m0TqPtQLhFwsLmmb/Pe7bVNXjSjltdmrgNyHfVTPlt29O/aR/1ctmG17Kv8QulCn+SFsow0doJnFFDae89v4OtHOii+f27S6yEhSDOkX2eqEqJdGOdTpkxx1TeKioulrLyxKuyTz30pQLYdJu5SSj+KSUUDX2FIDmAjNRkSDCIVlZuu1p4JiQoZw7hJZ41mHd6WI0pUiFOdCo2XqZ5rOdDSBX8gqfw4oPRjLRzSc4D6Oe/zxXKo3mFFJKLO5DBKK3M5SHNLqN5yyy3y2GOPyZNPPqn2aNdff70qvnXVVVepf7/88svltttui/z+fffdJ7fffrs8/vjjirDmu3hp2wGew8033yx33323vPLKK8rjlc/AN/W8884z2hbsLwG2DZmOKRSojCkyMUwpUKNBu2DZEO8ghaJ2DYuKlNAhmzJcchEBieox2ASPGjUq4UnSvqrQqXrj0tBgDZBGm2riZ6uhquKZKlFzrKiUm37qBGU2Hy4ulaovKhvPfCRRM21TX6DHUqaq7rVhFWrL7iJlrQq7TQvA++3gwUPSpHETx0CDDRwv0o90kSQTgHB0CnQgYAhG8C6DCMqm1H2CN+6hZ8+eKRG77B8+XRM68BgeLgyR66B/QDjk0mb/rrvuihCg+tW7d9hjOg7aNWstHZq3kUOHD8m8z+vuW/j/2ksPgl2rL7Pl8IiUfl3t2UnNY1K1RfCJfzFjxE3/gKzi+4MqxQE8OUzcu0el0DZqVPcwkYME/IBtk3GMuXTtjiB5UKAyblAAprvPqqjar/b03GuL8maSbWBO5TCeZ8acqgk6SCg9b2dDVocfa2GX1h2lY4u2yht1ZlSmBAQ9eyfAnKoPArBESmYjcckll6jU/DvuuEMdDOLficJUF4bC3kIrfsHDDz+sDukuvPBCdUCuX3yGxq233io33XSTXHPNNcpqhufHZ9ryTYVQR0HOdXHonQ7Yn9qOW2hT1kY8zKOzWLRXON2ImgUB0kdAonoMJ0+TfZWhDl1eEvIoCZBGm0aIn/RIVDYcP/jBD9QrI6/Fnbmdzp+p945O6a8KE6JugZ8fUAqcMBGbD8hJbz/ti7plqRkS1aAfas62aR6jpqZa9ldUqEJSVCF2owJFjcBGz03hqVQUA5CyKCXYQMYLOtjso55L1dvNBlBiEExwnQSrqCjSwYLPlyoirn2zNirwyQcQaBAY5dpBCfYLBIP6NXXq1KS/f3zXY9TPuZ8tSvp72F0Q3BPAkcKo1UB+AtUbgSWHEih0Yscb94+C1kQBuFiwR8NWgPRNJ3KBcV6ugsdDap4KEMAW8N89eOCAIiui1xetJmTNMz0WEo1NVN+Qb6l6pJpal/dWVUTi2oYNsmceZ//BgRRzCM+IZ8PBjFvrnEJYC2mXwWE16iefLYoIXKKBZ6juy/Q1CFbmYrx+NSEdjRtvvFGpfSGvmbdPPvnkyL+9//778sQTT0T+TJaQPmyPfnFQGX2Nv/jFL5RClfXwnXfeSanoWarQ/YV1jf1lqn0OKwTWcBsK1Hjg+2JtbLj+Jk2bSFVlpSoAGyA9BCSqxyDYZxAlCvr3hlO5Gpe6S4MMEKdN2/bKKJ2fU7Xf/OY36pWRamKXLizVOe/6qRsUh4vJVKVYXEoXlYKENUms5EObeo42vcyk86+dadwPNWfbNE+hFBx79kh5eWPXm3wIITwfbYGgCLIpVoHKJnzQoEFpk5Um24xrRJWAMonryoTQnftZaJz275pY9ZhroH1Q5+ZaCjZjgIBSvyAQk0E/MycSVYO9CQE1ahvUMNlApnINpA/HzscEcDa9SPFoRLXtZuwoFU6TpkoxXxMzNwQIYAIUbanYt0/1s9g9rFavea2ERokWuxYmAvMtBBFkWLwCNalCx7XlJf7HtZDJ2icSEo824RlBnGb7QZ1fa+GRbTsrL9vqAzUyb03yuBpCVaeQMy+zPtHGc+fOzbt9OkTogAEDIrUZnMCYpy289Danb+O5jKXIzp07a/1bgwYN1X6dfXuu7a+yBfnDUOQImKRHjBiRcLLWJ3aNs2Cxydk21UrUPRtEKlOvHGsEbJB2rw+9b+pvoG6jn7pBSVHIA6qyJj0SNZ9S+U21qedoEyZj8DNNo0BYZCx8PtO4H2rOtmne+qDuUc+hxEUKFem/qHHY2Nk8jUeRSnDEBhHPLn7OmjVLbSaz4YCGwIJ0SdqtR48eGV/T3DWLanlsZit0YQZe+rkQXEybNk39Hf/+wQcfqN+FcKCNdACAckWrW1DvQtzpqsF8Du+zoQATChVIehTRl112mUpTTAb9zFD7pFKUAqAwc/p8L8B4Q1VEP9YKXJ4VqY82VXeMH+wOsMFw0w78fnnjxqpv5VtgHyALfFD37FbFW2Iz2cg4YM2DePHafxtFKnMRqjQOOpIB8stksRu/xUE8E71+QKJykKqr0UMU5xLcFNIzDQ6eTjyyr3o/Z/VCV3Mm/wcPWeZa1mUKMrEu8ByyxdPbBLhP1hHW+2TtgvKWfQkWCF4pUGP7zYwZM+ocZrJfp9hUYHGTHvyPIgoMDDIGk7MSNfBETbtNqSjepH3aach8DikEvNLeYFftFqkJL3b6WvKon7pBaSSdPzUSNeKHGiZh8wUm2tRzNO8iUtRI5GC1yI7V6X3Gjs9EKraJNCgSaX+c0cvLyTbNQ1Tu3y8HDx5QqbJu1GBs1rwkMaML35x66qkZVQbPFPRVSC/agA31UUcdZeyztYoxW5SopHZDHABIUR3IUmkeco2+wnMhuIBUoMgCIPDSCiiIObzTdFCPchkVJu0HIcH/I0hDkc7fESy89tpr6j3fDTGrVUeQbF4AIpGURHzZ8HSDKKaafDL/tOPCz2zl5s8j3vhuQT9CiUk/nzNnju8kMtfBIQntHS+d0ybcrgUlJaWK5KIIXhA8BjABNefs3avmJIq3RIM5ijkwXQ9FU4BEja3Yra+dCvSQjHgpxitIky72hm3qvCZRNWHEPXFgyT1CJJtQ1/oB+pUfBDzo06mHErbsqtgjyzaGCm+5Bes06xNgTdYkNs/F77XKBCDiTznlFLWfwbYm3prEWuhntgjPYPTo0WrNi13vOFAMLG7SQ0CieoxkHn4HDx2MqPDKg3T+zNo0UlU8dRKVIIwTNF5pn/rtCVeqLWkqUlxWmJ6okcJSqfmtaNJVe6rmC3LSvxOiq3XPjOwxZF3YD7V9X5Eis+rinGzTPAOBCub08VIXY8HmjQAOBZ3JQlJOgHRD/cp8jjrOT9KE9kItx09S3UyRyXv275Plm0IqvOO6eEuiQgzowIhgVVc35u8gLwHFu1CjgPHjxys1hvJbGzxY2RkQGNInaA82+lg9AP5Mn9Fqc/6e58n/5TP53WhFOsHCmWeeqf6df0MFCSDzIPYAxC1evNEpnSbB91900UWqYNrYsWPl9ddfVwTyc889l/D/tGrcXFqUhxQqa7Y6F2mKhT68gPygLelffvVzxhp2GX379o0Q3l4ANSoECUSR094t5I/aWJFbHAIFCJAp8BesOVCj1sLYw0TGJEUwTZKT6QBbEcYl8wMekrWLzTRWc7Fp7It4onoXCzGu8YxmbSLFnPXBb+9zE/dEASw/Uq+LGjSU48PZErNXL0j7c1i/yboBS5YsiZCOuX6QRd+CJJ03b14ttadWfeMZ7vfYZy/F3ufjjz9OaHFjei+U7whIVI/BJp8Ti3jppxVVobQ0OnpZnqUye96mES/HDKuKp4s94c1J09xToTr105QLS6XoiVod/v2ShvmlRDXRpr4gUqgtzbG0draVVP6cbtO88kGNn7oYD5Bqn376qaekNxta+gcBLD/JMLDpz5gIfC8pXwSp9FmTVcrBgrWhAlqdWrSTNk1bii3oZ0dwsHTp0sh7ivsADh91pV2sFAhgdfCu79lmMMtn6+/hp/a9hWDTBSwgc/V18VwoMgZQCGvFsklwaEChC03iJkK3NkdE1KjpgPslQKUNUKRqMttr0I4QqaiMuA5ITS/BOIuu8JwI7LWbNGmqDoH8mBMC5A/o6/v27ZUmjZvUORjjYIk5Mpv2KZCLHOZByKFA5dABj0d90GUSWlnvRYYlh+pkQEBak3UCccV8mOsEajbg+G59VN9eu22DbNpVV3GZKliP2SuwL6SgVK6LITjAHTlypNoLo7JlTSELJRv8yjXY98QruqUtbtjP5/pz8BIBieoxdGXGeCdJOuWBCobBhJ9hm2agRDVKojZun3f91LYnqv79EhekTKG1qS+IjKV0SdSwErWTeRI1Z9s0T0DQGC91MR7YmJH2RGDjVSp/dAVzNrYoP4cOHarIJhQQXqgfNDkDkYYvnS2s3BxSofbq0N34Z2tVH15mU6ZMiaTZa1sEFKHalgCFKe1sCvQvlFMmUxgJrDXRy7WjGAXsu3TfhPjQ6f+Z9hNUsNgNOPmCdg+TqKs2p1ZFOx4oJoH1AXOjVzYGfA/jHNUN1gwEZqeddprqK156+fE8UTW7eW4Ni4qkrLw8SOsPkKEn+G5p1KhMiuIcjnXu3NlXC5lEZApqceY81kmbMaft7DKd4QJY5/UhGqRWPsHGWpgKIMF7te9eq4hlJtDkNgpo1iutlIyXEp8r4H44UEHtSZYL+00bBxPpgvHBXMReLnZfELK4KZa9ewN/VLcISFSPQcfkhCJeBw2KShls01Zhn7ntq/y5KJ3O3yQUqOVTP03dEzW1dH4qQILisB1AvsBEm/qCtppETWPTRDGq9Z9YU6LmbJvmAaqrqlR1azc+qBA57733XsQH0wvQJwimIG1jST2ITdKubBM7EEqTJk1SqdyQqLoQkA1o9aJWM2badpoQQ0UIEc0z1IE3gBC3SQpr8L2oGW0elGjilFRDfU+QgAQ/tAH3Tzu4LVr1gx/8QD13VK4ffvihnH/++SrwvfTSS5P+v25tO6ufq7dkTqKieIbEZH5EMWx7juTzsUjg+2Lblmc3efJkz/wgmWO4Hr4znv9jLEpLG0n9+g2kYp+3/q0B8gPaS7BRDFlCf4esYN7MNkKP8cG8oAstmc6MiLWqAw3rNzB+D7yYm2fPnq3mZuZtfUCWb/BiLXSC9u5evH5FJFbLFKwROjOEA29tAeRHES0T4PlAVvLyOgvDLbiuWIWstrg5UFOj9vcBnBGQqB6DTe1JJ50UN60jKCplsE1bhtU4FMPxg2DRStQcLCrl1E9T9URNdaHV6fzFDfNLiWqiTX1Bm7C/4pZlqY8l1Ks1FSIlTb7wVjWInG3TfEjj37dXysobu1JF8Duo01CkeQGUNaSHsQmPF7yyuSXtCpKMANIGwcQmleCA1H2b5KmGVi8eGSbi0gEeeboQFLYLkN600bhx49Qz1J6jXsOP70Q1yvcSWFDMg/eQIhMmTFD9n4A9kX8Y6ewQpqhcL774YmUlQIErJ9I5okQ1QKJqYKOA7yyA1LURgGs/XFQ33Gssov0gvUoV5LmhSHUz9kKecE1UUMnBUIAAbnHgQI3yEozng8p84YbE9wOMQ9ZH1mT8Qlmr9Dg2jQOaRDWsoIQ4xSaBe6BoTiHsA/0m47u06qC8u1EXL1m/0vjnYynBYSbrK3u4bCUhE4ExxAEmGRjsMykmh7VNtgHvcNqZOSB6/8s80LhxE5VldijI8HNEQKJ6DDawixcvjruR1b4xQVEpA23avLMIp541+78gNL3Eng05TaIm66duoVN3Uk3nrwqnv2oSNl9gok19QasjReo3FKneK7JrXXqp/B2PD41Hw8jZNs1xsMFq2KChqyIU+DKixCSFyCsVKqoa0t6SpZVzLQSSM2bMMB488nlsnumXXqVyrQorUbunSKJCmvJ8AGl0/Jm2gWQmNR/4GZxCwPXu3du3FEbaAmKQn7QHZCCBBoQzfQfEFnF65plnVHCPogZClT9ru4Nk6N42RKKuNpDOH3sPBKWo4kxXQ9ZjCMIo2fgmoOS733333QhRbxvMOXwnBUycDkroXyqtP0hlDJBSGv8epUCNnSOZE/BjZu7KtmvGM5SxSgo1ayTvIaumT59uxRv4QHh/1sDAHhDShzkVYNmB8hQUggWe32uhbud+XULZaZ+uyTylPxEYT2PGjFH7J9YtfHuzHaxrjCHWHG0NxD6KrJ1s9NxmLvjoo4/qpPUXl5QoWxIO0YO1MDkCEtUHJJKo7wt7ojYOSNTM27RBkUizzv6l9Od4Or+JVArtiZp6Or9d/yQ/kZPpKYwliNR0UvrX2SsqldNtmhdp/I1dBS6o9bxSn7F5nTVrllKUofpzuj42uSgG2OTGnsinA+4VAhWyjc2zV8EO163Vi5qISwaeh067JkDRVZohnrMtKOWZQtKZJv/ShSbm8RvVhaqwhqCYEcikr7dvHlKqbt69zXjwAomJFQMHH/izauI8EzBm9BjShLubzAGvFOnRVZPdHLTptH4OiQIEcJfGX095ocaSKViAZMucFQ2uieJLsSp6yCrUnMwTpvdUJtP5OZjSnpkckrgpaJkvyJa1sO8RvdS8v37HZtmy257SWj9b+qbOcMimIk3R0KruWEU095CKtYyXYG0cPny4ylaJRXl541C2TZDWnxQBieoxCKpIDYsXXOl0fgpLBTDQpjqlP0USlQnw29/+tnqlrcDJ8XT+ZP00ZU/UMCnqFlV5ms5vok39T+lfkp4S1RKJmtNtmqtp/Hv3qg2WU5uzASPg6dmzZ8Tvyja4JtJ3UwmsCAbY5KIgyLSgAcEp1ViBl8EdlXL3V1cqpU/nVomLFxE4c68QvRRO4n337t2zTi0Vu9H3UsWcCvT+AEUX7Uh74v2bLkHZqnEo9bzm4AHZEz5UtwGuM9Pibihr8H3VthVuoVU5eMV6cQDGOOT5MDc4fZ9O668K0voDuE7jr+sJrlPksy29nPWN8YC9R7wsDcYxawTj2iRZpZWomaTzczhK0SHW9+OPP14KEdmyFpIte1S7Lur9wrWhw0OboPBU+/bt1UEYfdMrb223YL0n84j9cby1kOc1ZMgQ9eyyTdnJfMCeXu8Ha6f1Nw7S+h0QkKgeg0lg/vz5cU/Fg8JShts0TRIVpcZDDz2kXm7SVZMrUdvnXT91C52OrytzplzJMw/T+TNtU9+LS21a5P7/YKWxaX7ofacTrFxWTrdprqbxN2yo0n2cQModGzOvgN8jxC1p06mS6mxy8XNEvaqJxlRAcAdBg8+UrvTuJTbs3KJ+tmvWKu7hE/fDBp9UaghUAlEKbvkdjLkBz7JHjx5ZfVDCtRGM0J4oLVFlokYjVS6VvtSouFTKwofo2/bULtBkErQn1wjpT3GZVMEY4X5R3aRjV8Ec0qVLl/T3V2kAWxF8fp0QSutvHKT1B0grjR+VNx6I2VSRG3CgSf/XRXuSWeEwriFZE3k+p4qDh0P7M1TeKbfz3pAqnPkCEqqQkU1r4TGdeqifi9av8Gye5L7JesBbG+Jyy5bQvsdPMEb0firZYaKeD6ZOnVqn+KLfYB2GMI1FkNbvjIBEzSIEhaUMI00SNWNUV4hU7c5pEtUEiou+KCyVSoqjLkSVb0rUnEb7vqGfG8OkqBts+FSENK7GbUWaZV4xPIC/qK4OpfGz2XJDvlEggGJSXgASHV+nTHyntHJ05syZilxKlUTVnpB+EJNbw4Rb6yZ1Fb94Bi9fvryWdQHIBQIVQIyjWvQ7hdEtICdpa/oTY4B2RgHmNuDTatRtezNPt3dzrbrwktsgicMCyHhNpKYD2gQ7BMYtfdOLAA0SZuDAga5+FwIJwqciSOsPkEIaP6BPZ6ryNg3mTl3sxs3BBeOa+0BVr0nMTNCgXoj0S/WwGzKagnzEDxxwQvAWMrJpLaSAZWlRiezZv0/WbAvXAPEAug9wSKm97P0i+LBC0gelbtZC1r1jjjkmsgfLFnDtiA9Y02OzNYK0/uTIrpm+AMBJCr5jsSdJeMaQjgeCwlJm2lRadkuLRGVCJODhldbkrFP5i8pCVcnzqU1TQGmUkrQyhZR+TaJqT9V8gYk29Z1E3bwoRIymksqPCtUSYZPTbZpDYB7cR6X28nKp7yKNHyKSDZkX6YxspglaTzzxRCPqH4hfqpYS8CWb/wnsdFEz1KfaS9QPfEGihpQ6qI1Q3gGKm0BYAS+Vf6bAs+V5ZBsx4SbYo+0BgYkOTpzSZFs1bmFdiaqBood+SzA6ZcoUR5KDf6c6NKobE4QGY4jv9iKTgP7DOkHmgpMSKJTW31g9K9K2AwTQOHjwQDiNv/ZhoiIaqqulV69ealxlCxhjVDmHkEzl4IyxgiUBh6aZjs+iBqF9wAGXe0cOMfGP5IAHb/Fcm/sLYS2ksOjRHUNCpUVrl3v+/bSDJv7wG3VSWJsGYwJiH5/xVMYV3q6MSdahbCs2ha/7mjVrav0dfa1cp/V7VNsgl+D/SCwwMPDmzJlTZ1GCQNU+VWXFiSsKB3DfpukqUfH4IrDgxfuMikrliNrHdZumAKXGCW+ealwGIowB7YlakmdKVBNt6htaHhk6FCBFf9uKrCkqldNtmmPKG8ZzSYnz2sSGEg9Ur1Qjn3zySaQwkgnoasV8LhYByeYqNvDZoArZuidUsKBleTO10eWF+pGfqA0hvnIV9DsUndkQOKaLzp07KyUk8xSERjJPt1ZNvFOiakCUoJCBOEl0cMA1o0zTRKoJQOpzaMH3euVzBzHjZm5q0KChUhpyeBSkMgaIPkwsKS2VhjH7U4g/9iLZBuZN/BjdFH6LBeOce8aHMpOiOPqQ+8DB5GulHmfR62q2+cr6iWxbC/uEU/qXblzl+GxtqiiPPvpoNadzUOkFMYlVFQW+2Cemsxby/LQXfzaBPQCHQLGgbRmHIQV+gGhkx0gsMMQbdFqF2qgoFMAFSA1xJzJNolZsE6kMp9d7gb25XVRKw0SgVBTeaGp1qRP4Pb2waDuAfELOkhl4WbXrk1pKv+WiUjnfpjkCSBOUN6T1OK1NqMoYv0ceeaT1dUzPE1RIp+iAafTp00eRX3xP9GaX4E6nx6NAzQZ1p1aiVu2uUClmjAmUudkSbGUC2hulSTaQ1ZkCMmHUqFFKqYb9BGqUWDQvC6nYdu/3LpWcfkKFXtQ88VQ99H+IVsaaDdU/hP/s2bM9CSpRZaNYd1P8C89LDiKqqrKzInQAb6HJvbKyupZrHJJ4ZV/jBowlDgKZZyh0le56rH2eMymK0zDshZqMaEP1zSENJBhF+vzM7MhWZNtaeETL9tK0UWNVx2L1ltQskEyB/sn+j5/sy/AktgnGQIcOHaRfv34ZrbcQlhDA7NeyBVwX611s0Ufalv1/ZeX+rOl72YLc32HnGNiAUgk3diNaEd6kNSr2PyDLlzZVqfTlrUPvdyRWFBnH7g05T6ImbNMUUdygKFJt2A002cpkrjde+QJTbeob2vdzT6Lu3/GFYrXTAGuXlPNtmkvKGxeeT2xiU/UTTRfz5s2TlStXqhNyG4QtRAufvWjRIpXmpMEmEtVctqifsZ1ZuTaUut+31zHSrl07ySewFpC2lw+EMNAqSBTPKLYBRIcu4lIctsFxe/Bo+tq0qkcDBRqp/sBWmjJpkcOGDVPj2IuUQTKMsBxxCgi5HopMVezbF6QyFjhYC/HIpT9Ez0X8PQUUIQHT9Qi2Afou4ypewZhUocc9/o/pkD6kfidL59eerRxKZlMbZhuybS2kj/XsELLNW7rB49ojcYC1F0pK+pONolOrVq1SxdmINziYyBQQlewvs4mY5N5QO8eOwwYNG0ppo0ayLyi4WAvZMRILCAwWZOCxg6ZCK1GDVH5jbarQIj1f1IwQnc6fj22aAooappbOr1P5KSqVb4psU23qf3Gpec6/u27OF2rwslbWLinn2zTLQSEpPAHjKW/iYcCAAUqR4wVQu6IIsA02lChSUcjgMwr5xX36nWaIFyybWa6n4kBINdCmWau8mzezyQfOJAjCtGcqthE6XVYXVETd45eqB8IQwoTDAtLfCU5t9yuCN/zYvEiJpu1RBLsZwzqVsaJin/XrCpALlja1hS6MFebgbCp6BNHJ2GXeNJUpwfgnOwNPx1RJlIbhQ25qf8SCQ9fp06erz0cNHyC31sJeHUIZn//477PStXs3NRbIWPj4448T/p8FCxbIBRdcIN26dVPP/Q9/+EOd37nrrrsihTr1C8FEMvA7tA1ZBhywmyT7+CzWa/adJg/q8R1mfckmf1T6GPcba7FDHBDKzAiKTGlkz0gsEDDISYuI3ZBG0vkDEtVYm9YqLrUjpNTxBHvDJGrj9vnZpilAB4TVB92n84PShvmnyDbVpv4rURekVlTKInK+TbNdhaqUN+WOm3Y2rZDZwPazIPUXsgWFjRdWDhAufI9OFcuGU3hNcmGfoFRCDULPJx/91DkgoRp8th6U3HvvvarP33zzzWl/BtYLKIgp/rJz+w7flKjRhCbkKSoZ7XHsBSBwUcJ6AeY0lEVO6Z8qlbFxY6kKikwVLHQxKfpB9PoG8cF6QJ/NpmwYCqfZ8Bhmr8V9orxdv3696/9XElbX76+uqmONwEFoNtkgZDOycS3s1KKdLF+8TF5783W58dablS1L//79ZezYsQlVy2QCQEaydiazYjr22GNlw4YNkdfUqVNdXRNkPAWfAPN7pllD7P3IRuJAwnQ2BvMJe1ruLRv2ltG+r9x3/MyMoMiURuDY7DFYgHr0CJkxRyMgUc23qUKzzqGfu9Z6d0H7toZ+Nm4jedmmKaBIp/O7VaLWhDZZxXmY0mOqTX1D+2O+GEsV20XKkgTWn30U+tl5oNVLyvk2zZNiUpyo4zXoFZntJWlOwEJQisIWJYKfhD2kKdeCOpaqxVpJp1WLJXnoI00fRAmZTeobDQ4OHn30UZWGminoV6h4mjdppv6832cfTuZV+hq+irz3ouI4aj5en3/+uZrbtVLXFiCK3fSr6CJTTZs1Dw7tCgjJikmhdiMl9/jjj5dsgLYEsX0QQWZGKjYB5SVl6mdF1f5aakTmFOaWwNc+d9dC5sKPJkxSRHi/IScor89HHnlEXnvtNXn88cflxz/+cZ3/g8cuLxDv3zXY36Trd891ccjBAT8kaiaHHBxw2iQ4UXcPHjw4q9YVVMLxwPpcFS4yVW7AKiTXkT0jsUBAQIZpb+xJkj6hy0cliV9tqtCsU+jnTh9IVO3Hmm9tmkY6f7VLT9SqMNmqfeHyCaba1DeUNhNp3jX0fkOSlH6e9WfTQu+7DbN6STnfpnlQTAr1HBtU26n1bGL5LlQGBHFege8kWIYobtasmWzcuFEWLlwoXkJv4Dn914b/0anI+vApX0lUioxkU+AI9u7dK5dddpk89thjSqFlAihdWrYIHU6tWbvGiq+bEzZt2qQIDjzRaHdUqF4XT+O7vbDL4LkxplMrMhWkMhaepU38YlL4L6KWyxagrF68eLH174H0YU5YunSpUqw5obw0RJLuraxQtiWsZxTmwd8zQG6vhRD3i2fOU8rSFZvXqGfL9Y0ZM0Zly2QC1J86hZ61lgykVNcRsjwg/vgsN/N8NHT/huxv2rSp2AJ7bA4S2FviuZoN4Jp4lhwUB0WmEiN7RmKBe5oESlRLPjHNtRLVfbETNu9XXHGFeqW1kd+3LfQzmVKvQLx3ilNUolaHPVFLYk788wHZ6GeUMrSydM30xL+zYa5I9V6R0uZf+KhaQl60aRYC/7/ikhJXxaQgXLwgeyAzZ82a5VkaEUQyyk8CRlLDNJnMhpq/8wpsZDkoIDUO5Vw8X7BKrUTNw8Mn1CRvvfVWVnmGgRtuuEHOOussFSyaRFG4CEvrtm3UgQHet6mkzmYKFGbR3oS6yAQBJdfiBVAfQRaQkmw7xRESAP8+CgMlg0plLCuX/RUhL+IABVJMqmKfNCqrbWnD37Pu0XeypRAS1+Q1qcshhBtyqbxEk6j7FEnEumqrIGQugwMarSYmfZ120uQ4+x/mqFdffVX9VORlmDBnbeTwS/cDL+cnUtFrdu2XFs2aK6Xxpl1bI+pNSMF0ga/qE088IW+++aY8/PDDqg2GDx+etk0F4zdVNarb/m0KHOh54fOfSpvxHGPbTRWZKm2kCi4WOoLI04dOyaa0Dolao0nU/POC9KtNaylRU0jn54SVyZtXWgqMitxXoiZt0xRQpD1RXZOoNXmtqDLRpr6i65DQzzVJTphXfxD62W2ISH27PmF50aZZBk6Xq6uqXBeTGjJkiCcV4SEQSWH36llDWhIog+hgD49U7hdVA56RtgIWyGLSqfluUuSSEbcRL+mi/Ns/sIEn9S+bPAefeeYZ5f12zz33GP/smrB/eElRiXr2+McRQAObwTFBOwWudP+OhdfBOf2fgjM2vB2jgUoJIhwrBcffLQk9E1Q4AQqD1NLF+6KhPRb9Li4YXZxp5syZqm96OU+2adNGkUyo9bDgSARqHDCOKaB86qmnKrKoEKHnTw6deWZgyZIlSiUJ5s+fH2lHCFR9sEN/0wpPDpjod/xZq+JRCmr/Sj4b31RNcM6bNy/yO5qUNX9jIu0ah/YnKzalphZNhDPPPFMuuugiZZWDv+rrr7+u9lzPPfdcWp+H6pkDcNqXNk8GDgy3bdsW6d9eATUq38l360KTfgMbK+aU2ANUMjNqDtRk3eG21wgiTx8C1MmTJ8dJ5w+UqKbbVKHZEaGf+7aIhIlqq6jZL1K9L+dJ1KRtmgKKw6qaGpfp/FpRla/p/CbaNDtI1I9F4lRaVVg11ZNU/rxp0ywDp8ucMjsFY2xo8UsENhUlOqWI7/OCQOX72BiiCEANkQgokNj02rp3CFQCIK5HF/RIBO2Jqgv55RoI7nRASCEIUuUBJDWBJIQ2ZCIgANLpZRB/jH3aKNPiEW5BEPbd735X/vnPf7oi3lJF5FmGFW4EVVTF5v4++OCDSNuYBgfGiQ6N6eP4LKJSpc29CJwY66eddponQSzfxXPFtiMZQoU1UKNWBIU18hzMKaiOOUyMnuMZh/QXFJ/ZcrDDoQcqVL+QbO4ADaW+Ogjas39vQalPWaeYLwHzi65Yr0lRQLq69n7GV1RbHDDfosYH+MZyiMyBz8CBAxWJSntTwAkwRw4dOlS9J4tAv2d/orMKIFf1/EZa/GefhYots+5mMpfx+YyDkprQ3mzV5hAJjDI2XT/TeOD+6eOxxY7S+RynTCLazU+FOWPF1jqfDui77MWiwRzYSKlR9xZ0ZkZAonoMOh6TZJDOb79NFRq1ECkKmZrL7nUpVKXep14pTw7aD5U09hLvTrA8bVOrStT8Tuc30aa+ot0xoX5dtUdkU0ilVwsQq7qoVPfQRs4m8qJNswiQI1Sg5pTZCWziIXi8CIqwbEilkEUmINggfV4rPxIBxR7m+wRKKBdMbSQhiyFQ2eiTvuamfRuEr/NQFm5mNSkNUDrqoBLllA7k2KBzz4A0RR3U0f6QpCh19EGJ/snn0u78mRdpjvxfgkL9/HRRMJPAUgJSl4CXYJbXpEmT5IEHHlDvMyVzI9kYMQeJeq6j35kk8Hge3A/ep06phLQpqjOvAjyCc57fnDlzrAdqtKsbwraoqFgVmqqM8okLkH9AbVyvXn2lPo4GacX68NBvMCaYU4Gf6k72ARB+qOeiFanMv6ynbVu2VoUn99dUycFEh+85Dj0/ETfiBcqfOQDUViwQ3boAIeQi7QFQRzL3AKe1nnWUgk3JDrFYJ/ThHp+r53QUhboAGn+vvxP1KweXmviM9r90A4hdfEcXzgh5eW7YuUX2VOyViRMnqiwlU2DN4TozTXenvSF+UXvG+o/qA1w8971UoMYCD1ieV7aIQ7gWnnE8svngwYPKN7pQEUSeHiOeh5868QxIVDu+iCxKzY9IqbgUihcCdl5a/ZIyiVrWOvTdhe6JGiFR3U2y1eHNQT4qUfPCv5P0/C6DQu81WRqNjfNFKneJlDQRaX+c/cvJhzbNJv+3fXultFEjx/ZkXmSjTtvbBAEJm1qUGl6lThIQRnugOgFCy+Rml0BUF0Bwew0NI4r/7Eit4vp1uiIEqbZFiFYsoa7UARGKX61a4e91AIMah6AnOgUUBZhWAPP39EP6Bil/qEfouwSo/Dt9RwdKtKsuCEYQmi7ZOXr0aKUQhkjRL9RBFL7gfabqtOrwM4xVFXM/tBc/sRLQBHSmoB3ctgXfjbUCyuhUg+10QbDPmLQNSGSCa6c9X0SNuj9Qo+YrVAG/igr1nGPnYAgO7FWyAaw7HIBkSz+MnUtQ1EFMlRU3UvMZe4ydFXbtOfy4X9r/nXfeUXMHa5MmSJknNfkE2ci/ZQLWOQ5WM90LcUCrFaocBtKnAWu2ntfJ+HBbRO+WW26RJ/76uKxctExZCHzre99We7errrpK/fvll18ut912W+T3OezUayfv+V7eR6tMf/CDH6jDSQ4JOBQ9//zz1dp66aWXiglQKDRakaoPXbNpLGHLYNvOxg30YTaEe/T4rocataxM+UYXqho1iDw9Bh2RgREddJHqfCDcMQMS1Uyb1kLT1H1R04YmUXM4ld9Vm7pEkS4s5TKdv+pAbqeletGmvqPL4MQk6sL/hX52H477uPVLyZs2zQJwmswGqVEjZxUqG15NktkEKhZTZJETCICmTZumNtGpBDuQPATVtB3pculsJrWqkgCGgKZ79+5pFSNyO8+ahB57BE+km6vrqKmJBGM9e/aMKHAgASGrdLsRWDoBEgNSNRmhzL9BpvITIhXlhE7dg2gF/L0mZ+lTEJE60E+lYBKkbt++fWu9uBcCMt5nikRK1GhANHOwQF9NN7Weoh/YKBDwp6ru0TYqXihS6SNcI8/INnELaUDgrou7JAJ9qai4WAWPAfIPqIwpnhKb0suaR9+wYeORKhiDkGkc+LmZR70Ahx1kZ3CIRvYAcyIHZJAwLcpDh2Db96ZWIT3bEL22sd6h3uT+OEijX/AeJaONDB03a2E6n6kP/iBUWZ/Zy7Af4u9R07JWJtvXXHLJJfLb3/5WXv33S/LII4/I/NVLVEEo7a2NfYDOQAGocwcMGKBe/D3/l/ff/OY3I79DxgOEKQepF198sepL7M9MHaixx0MEwBo2depUNffzXX4qUKNB22PLwH4jG8BcQ9+OPXAtLW2k+gZ1FAoR2eGKXUCgE7LRjlb6aBVqwwYNIsFQgMzaNK4v6i77QX++kKiObeoSxeETU7fp/JpELc3TwlIm2jRrfFFXf4hkgxsL/ZlN1vwXQ+/7nu/JpeRNm2ZRFWI3G3QCI9tp/FwTAZlXJ9woJCFr0lUSElwTPEJspfMZmShatRL1gEckKuoIiEMCD9L2xo0bp5SiujI0gY4OdjL1FiNopajE+PHjM/osghEdkJAWr4MBgjhICMhrAjfUQzrV0Q9oT9SiJGojfX2QwZChybx7E0EXGUknaCSgGjVqlHoejE8vLD1QKfFsKCRocw44/fTTXSm98MrctXOHOnTKFm/MAJnj0KGDSmXctFnzWv2afs5YYw7JBhJ17ty56pBIe2hmE5hTeXGAptuwZeNmqnJ7LpKoiiSqrlbzA9kMEHD4czLvagKbuck2TK2FTmA+g9QE7EnoZzxHDrXJ6IBsjMWNN94oX77sYvnn1JdVgcuBJw2M/Nv7779f63fd7Oso3ugFmOvZe2XL4UjsOs9eC7W53+NcFzjV/vN6zatHZkZZuYofdOHFQkLA2HkMgn1tFq0RncpfaB3QVpvWgk7n90KJWrEt9LM8uXF1zrdpqkpUt56oeVxYylSb+o7OJ4V8UfdsFFk1WeSokaG/3zhPZOtykYalIn3Ge3IpedOmPqM6QRXiWLChRjHJJtomca1VoSNGjLCexs99oyBlY6/T8NJND0PJoX0jUTk4reeoPEh1p0BE7969PTusSgcQxASR9BE83wggIU6pbK6fEcGWafDZZ5xxhtF+wHPRnxfd7twjgQvPktQ1Cnq4USXHBomZYGdFiNxsXuZMbqK41TYIkKJuCFECMp5bpoVoCOJRZFEs5ZRTTrFeiIMxwnOzTdrSL1BOQZYlI0ZCxV1KVfDYpEl2qJcCmFl7IMbi9ed4voB+IRsPj9kfQPShlGde5T3ek8xRLRuH1obte3dJrgByjTaGEMaWgFT6fv36Rdo9WTEtG7CxFjqhfsMGUlNaT16d/a4sWLNMNm7fLFVTa2Td1o0i9UIe0aCspFRaljeXNVvXS6PiEunSuqMM732SIs+zFSjLycJgnwmJunjxYrW3zSYehmvh2rw6rHSThYbVIQckGpCnHDzhI+0mky2fEJCoHoNFhfRTfYoPKqpCqQH4xgQw06bxlahepPOHSdSyVvndpqkWlnKdzh/fDy4fYKpNfUdRqUj/i0Q+/pvIrKe+IFHnhVWovc4IeaJ6gLxpUx+hPLn3VyhvIzeFDZwKLpkAxBUp4F4ECwR+kGfRp+uZAHUmJAypbMn6JO1IsA5Rk2l7RjxRDdta8Ly5HzbNBJEQwzwbiFN9zV6oN7wKGnU6vu4LPB+IborJQAp4EcRokkGTDsnA9RDIk+o+ffp0Vc3eqa10oRMTh088ewgTL54P90p/JIV28ODBVvudW59Y5sydO7bLwTIzc0cA/0mzqspKada8NnmO5QeHKhwW+E1kcHBB8aZolWe2gHWPQnCQzVwbKjoOFFkLvyBRc0OJCnHF3pI5levX86XfxLXtuXZv5T75cOkcmbZsjkxb/ol8+tliOZBGMbCJC0J2X51atpdhR58ow44eKKf2GSRtm2VHbMz8Tn/l4FcXa2QvmC1kpQZ7L9ZY1r7ow1+/wD4o1j6kXr16KotN1VQoDfnVFwoCEtVjsNHCmD96w0XFQhD4oZprU/9I1PxI53dsU5cojgT3LpWo4XT+kjxM5zfVplmBEy8Pkah4oFZsFykqE/n0hdC/9fuyZ5eRV23qE/QpN6qqZGCTCXGhU7ZtAdUHG1td+MAmUO+hODOpMKKNCLa16o+09thNJT5qBJd8ry7qkAkal4RO//dWmfFohDiFnCNdHIIOFWB0G3kZSBLYeJHCGA3mE108BtKC58cLgoDrsVnoSJMMrVyQqBoEgRwkcd2kW0LMx/Y5FGGMK12h2QT4DsgF2oiAFHWrzQCK589zsa0A057EWomWCIpoD6twGjfODu+6AOmD54iyLpaoYHzZ7ttuAZlCv8yGa9HgengxbqLtNvDX5KWK9VQfjBwSZRtRFQ0KEaKcZV5jHYcwypZrtbUW7qrYI2/OnSyvzXlPJi38OGKrplFeUiY923eTHu27SofmbaRVk+bK4xbfbp7t8hXLpU2Htqpo2MK1y2XBumWyY99u2bFvl6zbvlGe/eg19aIdIVTPP2msfOmE06Rpo8biB/S+bMiQIbX2bRyiQq6y7yHLI1ueu1aA4gtrYr+YCThEZ3/IHrZjx46Rv2ec7K+oJ1VVlYpILRQEJKrHYEOmCyvUTef3NjUgn9s0Lom6c23It9HmxFiRHySqY5umrER1S6LmrxLVVJtmBToeL9K+XyiF/4MHRfbvENm5RqS8jcjRYz27jLxqUx9VqKXhaufJQKoTv2+bRGWDS4CQaSVbJ7D5nzFjhiIHbaShE+zin0bae+y9mFCf1vq8cMrcjr2hVPB0oANbiGWq4ZI2iA+X34EEhAZBo18KDJQgOuUfQpkAggAMQpV/M03sfqFETS0NEkKPPo1XIn06OrWfZ0u1ZVIVoysSm4RXxf00aYvKzaaVC/5/jF9SPZONAdIX8UYta1Qm9YPDvJxXoTZp2qxOej9j3ObBiVugimdcZ0vxm2i/YtqJA5p4B9qM1Y2frZP69epLZU2VIu2al2fPPdCurHvMJxCo2js729rZ5FrImjBn9QJ5asp/5eUZb0fEXKBbmyMU2Tm45/Fy0lH9pUurDsn3ASePjRyAzymZK706dlf7m6tOvVDmrVksU5fMksmLZ8jczxbJlMUz1ev2534vlw09R7456mKV+u+laIB5PVE2A//OHhSCMJuy2xhbfqtQNdgDIQLo0OGLfqGKezYqU/EEggy/941eITueSAGBwGrChAkqQNEDNNoTNYCZNq2FZp1CP6v3ilTuEmmUPGBmE3DhhRdG3heiEtWxTV1Ck6Fu0kyVubeuTFyUfwcKpto0K8ACOehqkVduFpn02y/+/sJHRYq9K8qSV23ql6rl4EFXJ8ekD9okSnShAVSPtqEVZiNHjrSmYqY/UhmezSTpoARkbDwh4iDlTAbl2j9zR9hPM522nzJlivJ7g1BG1eh32mK8StR+I9ozF1ISVQiBtyllFQTDvqoK1+n8seCZ0ef4qYt/8ZO+h+rGVmDDIQGHKzwnqh3bOJSIBoQHRX5skqgczum05GSgXxahwqncL+Xl/iirAmQO/PwaNGhYZx+xevVqTw4P3axZkydPVuRPtpF7eEezl0gEPJhPHXGqfD51p6ze+Lls2LklK0hUbdvCHIk/JvNJtnvsZ7oW0pffnveB/OGNv8vsVQsif9+rQ3c558TRctaA06R3xyPTWisg1cggWjv5P7Js9QpZ+fkqOfWYk9Xrp9g9bF0vL898R56b9ros27ha/vLuM/K395+XiwePlx+dc420b273oALbJtYmvS9LtJaR3UY70S80oe43mJcgeLEV8crqKhGYfwYNGlTn78kQ2V+xL1KErRCQPbvkAgEdH3Pq6AEQkKjm27QWisu+IE53b3D8PE6nnn/+efVK2XdLk6hlrfO7TV2iKJzOf/DQQfVKhmi1qrYByCeYatOswcArRc74+Rek6YhbRHqO8fQS8q5NPYZbFSon88CmOhRShIJFXoBiOKgmbNtA0K4EajNnzlQbchSoNhRNLcIB6c59qRXtQE1Ju3OdpLKxOeZ9rOeV30EjByVeKR3dAoUxzxJCD+88lbJqSIXasH6DtFMdIVAJAEn/Y9zOmjVLXaMXyhC+j8JztoFHIYctThWeMwFzAyQ0aYtO34MaFTWbiT4QwHvwfCv371cet7HAPgJPQr+hD/2yiUBlvM+ZM0ddmxNpwvzTolFT5cm8bttG8RuM1YkTJ6q5kXlcV6PPZmSyFtLHJ3w6VU7/vyvk8j//QBGopONfePKZ8r8f/kUm3fEv+cGXvil9OmWWfQLZ16VVRzV3btsfsm7gmfMTxelN4y6XyXf+W/590x+URypx4b8//J8MueMi+e2rf1UHiTaAUpp9mPYWdbM3IlPJ5hqTTttC6mbDNdEHp02bpghTjZAatZHsr6jIimv0AkHk6THoZLGLYEVAohpv0zpo0l5k/06RvZtE2vWxX1gqx5WortrUBaLT8lGZNipOTFpotSobsgb18y8tzlSbZg1Qqo34nsjxXxHZOF+kx2jPLyHv2tRDsJlkI+RUWZrNEOl6BJM2FWYQI2y8vQD3YtsuIJqMQbGICgKVhg37CfzJAD5kbgDhwwEhPwkuQLbaYhA4nHvuuZJt0IGY9tTVVZx53umqmfCPAyhyMglk+b+QAtgNMD96UfwLkAKJGkkHUDaJW0iQqVOnqjRHW2sA34HimHZMNjfRRznIQ81YVuZdJkYAM2AerF+/QR0V6sqVK9VY5vn7CQpJgc6dO0s2AYVpKujevrPyTd28Z5tad8rikNa2waEhB5sUScTz1Ks9h59r4eL1K+XO5/8gkxZ9HPE4vWrkBXLt6EulTVPz636X1h1kXnm5bN63Q1mvMI7Y37FGan/x044drF6zVs6XO1/4o8xcOU+RqK/Mmih/uvJO6d81ZKFjArqvpZJhw35IK1advLG9AtdCRhj9l4wmP/su612HqHR+DbLaIFGJL7LpMN4W/O8VBQY61ssvv1wr9WF/dVBYynSb1kHj9qGfeyyegKKkrNyZFySqqzZ1AchQTYjWHEx+eqr/HfVqPvqpmGrTrEPTDiK9Tg+Rqh4jb9vUKxVqaanj5pCxSLBhk0DdunWreoa2CXE206gi+B4v7R8g2tjwUkGdAj+moVMjKeTgxs8K5SQKAjbB+J5mMyDkUAtlq7KB8aHHBocSuqq7JqdTAemOIFOPOF3FnkCLQinYSHjZHqjTGGc2wbyFQtBmIAkhjieqm+9QatT9+7O2nwZIpkKtkEZltTMy1N9XhgQufgOVZzalx7J2rFixQpEkqRwYdWjeVrXxum2b5P1J76u1yCtolbgm8QDkeC7FGqmuhWS53vXCAzL67q8rAhVRy41jvy4zfvWS/Oz8G6wQqNHr16ZdW6Vew/oybNgwNZfiRbpq1apav3vikX2VEvbRb96trmfphlUy/r6r5fevP25E2Y+VEh7v6RChXDPrGJlL2QQKX3G45ze6du0aybaKp0YtBAQkqg/sPf590emnlVqJmoc+kH61aR00aRf6uWeT4+cReOiFlveuUREOjuvVd/RdzYs2dYmi8Gdov9NEqAmn82sLgHyDyTYNEELQpukBsqemuloaOXihQsaQDmw7lRqSh6ritsF8TpqWV+C+IIhRoFLQh2CC9wShJsmWtk1DxYI27gzbycQBahCUkgTjY8aMyRmVAH0Pv9ZsS+ePB5RiENNcK/6FKe0fIFG3ZU6i0rc4IEB1A/mHSpbr4pq8IvhQm3lRiIfvIIDDKsMmsChgHCcDbU5hKdSoAXIHISIPC5OSuBkLfqtQWYOzzauTOQbv43RsZ0qJc+uJHHfSALUWRacD2wJzH6n7zMcoIqOriucSUlkLP14+V5Gnj7zzL5UyP/74U2XKnc8o8jTVooWponFpufL0Zr35fNsXFnpUvGfO1mSwBrH2uQPHyKQ7/q1+cr33vfIX+cajP5Y9+1NbQ6NB31J+vGGf8HTAuGMeyCZ069Yta+wnPv744zoHpqhRDx48UBDiloBE9QGxAX/VgdAiUlKUG0FNNsKRRNEkKun8tqD9UBu1EMmDdHRTxFRxA11cqsa1EjVfEZB95hG0aepAMUUFTadq0mx2UdnZ9g4lJRfyySYIPNjAe1kgBPVDtJpCq1/x2oLQNIUjWoUyLdZu31CHKNMbWdLZdFp3rhCous3OOuusnCocx5x0+umnKxIT30C3z3rN1tDv4SmXDlDOoTKGGNLtxU+CVDxSKZLjBfD+pQ1IQ7ZN3HJPa9assfodPEen/kcbB2rUHFWhxviCa7W+3yQABwSQf7YPCVJV9kEs40mcqoqT3+/QInS4smn3NrUmv/feeykfNqVConFoylyEh7Uf9gFer4UQkL/+32Ny7u+uk5WbP5f2zdrI0zf8Th6/7j7p2iZcZNkD6IPAtWGLGp2RQ9+BgCcrJ1rBCCB3UaT+/vKfKdXsm3MnK1Xquu2px+1btmxRClTGeCZ7B/oOmUus4V6tn06AEGbsUGTKbx/uE088sVbBTaA8krGL2p//B4oBieox6Pivv/56rZOkLyqS505gk+1tGtcT1XY6f574obpuU5coCvuiVjul84fHgf79fIPJNg0QQtCmqYNNV1VVpUq5cfo9NpCke9tKeYP0YaMbu5k2DYLhd955R/lzeQECNwIFlBfxFERsPCGNuW8ThEunlqH1bW9lheyq2FOrfblvgsn27dsrcivXQD9Epex3sJAq9MEDc5Oen5yetVaidm6V+oECfQmSnOIz8VJ/OTygP3oF7hkS1TYRhUec7YMR/BNRNDnNU/pwApV/gOwHfZR5hYA/9jlysOf3wQ1zCOM5WyqEs9t0SFMAAQAASURBVH6iPMtkTHdtHSLyVm9Zq/YXqAQ5pLCxB6AoHKnPQBdNzGU4rYVbdm+XSx+4We5/7W9qraHq/ft3/FNO7zfU82vVa1i0ElWD/kymBP0bYjI2O+jSU74k//3+w4oAXrZxtZz722tl1eaQL7Ab0JfI+Bk8eLCxZ86ckE2WGrRdbCq9HygpKVGHPLGZGqhRq6urfL8+2whIVI/BojF+/PiIekoFtDWhDVdxw4BENdGmcdHYfTp/2tDp/GWh1Mq8b1OXKA4rSwtdiWqyTQOEELRp6qiqrFTt5dRmpKKjFrAJrgFfJdtKV4Lh4cOHe1ZMChUECsREgOzS3pE6yMsEZcWlKn0OrNuxSW1qCUz4HoLUXFKexoJNOMpdrzbjDz/8sBx33HEq6OY1ZMgQeeONN9L+PFJHSaeH0EZVlix99bMt6yKFOVIBhD3KOUihREWk6PuMs9mzZyftm6ZAn8NLmZ82CXDGEW2L7YjN78EOg/HqdC1KgROk9OdURkY00cIYws8Y+xU/wTVwCOFVUTgnMLaYQ0aPHp0RuaxJVBSKqCa5Pz77/fffN2K1A3mI6h51Kwo5FLP5gmRr4YK1y2TsPVfK5MUzVH2VB6+6Ux648o6IX7rX6Bw+2IXYxZs1FnrPF30v0YeMJ3TvK6/96K9yZNvOqq+c97vrZcUm54yDdevWKaJfeXMaHDvMBxx8UyDUlnI6FaD25PCQPbTfB8y7du2qM3Z5vkXFxSreyGcEJKoPiFZN6VR+UBooUdOGoxLNi3T+/eFJpCw7qxynClPqvuJwv9aep84kan4qUUGgmDSPoE3dI1QsY7+jChVA/KDGsalq4XpQedkEZDDFnLyoZEpAgEqnV69ecuSRRzr+Pl5btDPtkKki9Yhw0LJ22wZF4uoCVvmQwjh27FjPVGEE3vfee68i5WbOnKkUM1REXrBgQcaKjRNOOEGRipDcsWTq3sp9kdTHnu27u/5c+g0pkpC9bg6TuL9Uq2pnApRGTuRjpqBNuSebwaRbQgYFDnPAwWBdymowV6OUil0LUfox7v0G62O0b6Sf0J6iHNZkWqWc4kFlJY1UBqZO0+YzSbfHOiiTdZD/qwv9aaVerqtP3ayFE+d/KOf85lpZv2Oz9GzfVd788d/lwpPPFD9RXloW8UVNlo5PphMZMqiGWXOj0allO/nv9x+R3h2PUkWqvvLAd2XzrsSFOfkuiE4OQW0BktbJH9tLcCgaW6zLa3Tu3FllhMRbC4k38tneJiBRfViMJkyYEAn8tQoV9Z2uYh4gszZNns5vk0TdGfqZ40WlXLdpip6o1Q6fle9KVJNtGiCEoE1TQ01NtbCdiVdEIxoEbyhhbCo32fhRsMWLYNmrk3oII6qhuwUEJ8EeBN3y5csz+u4jWoYOCldsWKMI3B49ekg+gGeHctKrZ3j22WcrdTtBAWT4r371K0VSTps2LaPPJZhv2bJlpJ+gMovGkvWhQKhds9auC3+g/qCAFW3jtgAO9hKQjlTX9qKoC0pc24U5IGF0f7e1Fmg1t1MAzbUUl5RkTWX3APGBQqqoqLhOFgTjg6wFPwHpgPLNS//uZNCeoiYOIpkHu4b9Mtds/aIgjZ6/sPfhEDBVoA784IMP1Pin8E62KHhtr4XPfPiqXP7nH8q+qgoZdvRAefXWv8rRHd0fwvmV0h8L1kaeG4i+v7bNWsnzN/9Jurc5Qn3OZQ9+Tx04xoI1FQUy86/NA3PWMrKn/FZ/avTp00cVcvQb27dvr3PQrPzY69eXalW8Lz8RkKgeg06FqkGfJAV+qObbNC4ah33pKneJ1FhKtcojEtVVm7r9rLA6xlGJGvFEzU8S1WSbBgghaNPUQGBfGpO+GA8bN26sU3HTxuavd+/ellW3lWrD60WlcL4P8jIdFQSbYE7z9eek891Hteuq3q/aulbyCQQrfhVQgIB/5plnVICO0tMU+vbtq/oKBWx00amF60Ik+jGd3JHfuugb/S0ddRj35AWJCvkIoUE6vG1iEVWOzSJTKPGWLFniOEZR4OA7nc8KnFwGzyXkC16baCNVl/GYqdoyU6DIs73+ugUKQbIaTHqKdmtzRMQXNRp8PsQxBHIqY4e1gQNJVI22rYGyaS18avJLcvNTdytbBPxP/3XT76VZWXb454LO4YKXbkhU9vD4mEb7uEerl//9nT9I6yYtZN7nS+Xmp35Vq3/wnsM6Lw6OtQ8p9jnZUPCNfk/mg8lCpemgtLS0ToaLtlTI5wPFgET1GAx2VD56AqisCTH0gR+quTaNi9JmIg1LXalRWYRRovBKaUHWJGpp88JoU5fQ6fn6wKBQlagm2zRACEGbpphqXl1dp4hGPKDAi5eeYwooUElXtBnwoGZBPehF3+C78CoD6RD6KCfYbKIOXLx4ccp+VChwerUPqTiWbcrcYzWbgAqKlHovfY/nzZunlFGk4F933XXy0ksvGVVT6jRTgjBICrAoTKL27nSUq/6G7xtIp1gY3w35yj1CHNkG38d4tx1MDRgwwKoqh7YeOnSoI5lEX4WIgyQPkH3Qhb9QokaD50UGht9g7fXbk1WDcWu6H3cLV4nfuGur7Kus3d4cDDF2sABxQwxxaALpzJgklTuf0veTrYWPv/+C3Pqv+9Tff/O0i+WPV9yuKtpnE7QSdfPubRGuwwnsg1A9c/hGv9P7N4j3J6//jYoPX539rvztvefU37Nn4mCL3/eqABv71pNOOsl19ocXYxTbKj/joLKyMmV5E3vYjef0gQM1eZstGJCoHoOONGXKlC/S+cOeqIEfqrk2jQsWVp3S7+CLyiT+2muvqVdKKSHaEzUPlKiu2tQl9MLuWFhKK1Hz1BPVZJsGCCFo0xTTF4vrpi/Ggk2p9tO0ATZ6qAxsK0ZIy6SwjRdBFYEfysJMv6t9+/auPWJpR4hxAgdIb02+LVm/Iq8OFdiU40PmpRL16KOPVqmBFFa7/vrr5YorrpCFCxca/x6UN/gO8xxnLpun/q6PCxLVVH9DwQL5TxBmGyjMuG6bBcI4wEBhi5LeFgjsIdmTjbFQgalGUhUUmMpK4NPHYWLs+GnXrp1SM/oF+pRWfWZDJXDWaVKsUfmZROPScunQvI2630SHfmSQJCOSmbtYEyBObduFZNta+PxHr8tPnvmt+rtvn36Z/PLi72UlecxzbtG4maMvaixQNPJ/WH/1ISM48ci+cueF31Hv73rhAfl0zWK1ZzLdP91eIwcuJgqDZgrWVUhdv/vArl27lHdy9Nqo7W3ytcBUQKJ6DDZ5Z511VkStoj1Rg3R+c23qmNK/x9IGO8/S+V21qZvPCitLq8NK00SoCQdX+apENdmmAUII2jTF9EUXh0KoHGwTnKQz2wwS8VtlQ2e7Kj1BJspR2gtCLFOgSCWARoHjRNpBdkPmsEmFMO7RvqvUr1dfduzbrSri5ho0KQx4drqoCh6UtIUm+vCEI4AGtohV+g2pgSeeeKLcc889qqDQH//4R7EFDoFWbFnjmM5PQMkzZ74zYVHB51BtG+9jm+SmBs9u6tSpVkl+SFQTVb6dVKZO7cX8xnMNDviyC7r4H7Y20cBuwu8CLcxxHN54MRbdeBxyQG1rrPbqEFKML90Qv80hUJmHWV8hDmNBO0FgMYd5UTQyG8B69/zkV+V7T/9K/flboy6R2798oxXy7KGHHop4y6IM1ZkP8YAX5gUXXKB+n2v5wx/+EPm3zi2/SOlP5TP5HH6Hgw32WXoevXrkRXLWgNPkwKGDcuPf7pLi0hK1Z/IDjNNsyYTjGvAT9tNioGnTpsr2KLY/5rO9TUCi+jAJsjjpzX91WIla0tD/U8d8aVPfiktVahI19fS6nG1Tk0rUg/ntiWqyTQOEELSpOxyoqVEbmNj0xVjwOyhAONm25SmIl5TtINEr4oL74GU6iGEzmoiUhQDgOXXp0qWWp2yj4tJIwY4lG1ZKtoKACJIUEByTigcgSvF7AygJtRoaQoygSxOnWEGQFk4bkC2CGoRn8NFHH6nPZi4wHdjwmTZTs1dtWyf7qverZ3hge0VCEpB+AWFuEhCCXo1LiJGBAwdaVcwQdOO3bAscmKCqdTpoiihwqvJTgZOroMgJ62D9mOdHYRtb614qKbFeW5ckAu3hxroiXfTs0C1CrlVUVyadM6K9FvU6gB0Je5VCwuINK+WPH/1bEYgXnjxOfn7hd608n2effVZuueUWufPOO5XPNIeIY8eOVYdg8cAaTGbEvffeq5Sh8VL6X3rrfyl9pj6I4v4g0nXhTf5876U/lOZlTWXpptXy0FtPi19gPe7Xr19kH+gnaBeegZ8F1erVq6cONIjJosF8xr954cHuNQIS1WMw0Eif0gOuMqJEDZRUpto0IZq0c6VERcnARMCL94WoRHXdpi5QFCZRqw8WtieqyTYNEELQpu4AAYQ3kdOGm5Nsp+rTmQaJ+BbaVLpCeOEpF2tybxoEDmxYIVRMBzKsPZBlkGmxilQCECq764I90ejdMZSKumDtMskG6MMNSM1PP/1Uvad/LVsWuj6sCHTKJpYEKJR1Or32tuRZQhhrtcmwYcMi3mdjxoyJtAFpnTqdG0IVoMpINQ3/tttuUxXvqfaL6pM/v//++3LZZZeJLcxcEWqbE7ofKy1btKzzXFEmozxGMQpJaBr0N1Q/thXofD5zAOS5zTmbsclcZutwjUMaSGcnj1dIAEi7fFTg5HJGRmwWBH2R9SIdf2FTYEww5/idkksbLVq0SB2s2CRkWpQ3U5XXGaMrNiZOiUZxj/ck3qe8mNtR5PMM/S4A5iXILrni4R/K/upKGdH7JPn95T+zdv/333+/fOtb35KrrrpKWSU88sgjat5+/PHH4/4+qeS/+c1v5Ctf+UqdsXVEmER98/235RvfvNr1Z0aD32d/wDilb0rVQfnVJbeof/vDG0+kZBVgA1oV7Tc0ge2nr3NVVZXyKNaHHRF7m5JSqc7DA8XCmYGyBGzyOX2pk84fFJYy1qYJ0ViTqM4TLpNQyhNRHpGortvUBYrDpGiNgzos3z1RTbZpgBCCNnXrQQqJWuJqs2qLfGRzBemAwsUWCPyo7GqbVCfwg6SxXZQHolSnKmp1LQqOzp07x/3947uFFHhzVpv373QLXQyCZ/3WW2+p6+Y+NAmKfxlqxFjFLWM4HomXyBOVjTmkIoEk/0+nEkKwnnHGGZHiTZoIIMjRRC79IxGxhTLm8ssvV0Quqe4c0nAfp59+utjCjJUhP9SB3fsqwpj7QnmjVTrcAwGnLdBOPAvUv9EedLbAIYDNQI/2ox1tAWUN49DJLgTFI/2MTIAA/kMrxlAIR4N5QR/s+AXbYzwVMKd6sadySumPBvsX2oe1w7QaP9uBwORbf/mJIgs7NGkjf/7Gz62JTVALQoJxQBndH/izPpxMBU0bNZbGJWXqIPD4Uwam9ZnaQgXLDdYo+sKXB42VIT0HqIJV977yqPgJDn9tFjRMBewb/LQlKS0tVc81dv4oKS2JZArlEwIS1WPQgdgY6470hSdqkM5vqk0TwmVhqbSAirJqd16l87tq01SUqGHrCiclasM8VaKabNMAIQRt6gw2LvUgmhxSBPFjI53RVvAEOWOjOE80IBwHDx5sXVHHhn7kyJHWlUvcDymLqCshh+nrbFITqZVQMoLZqxaIl4AwpZ9BGL333nsqXZ9Ah3RQngXXDMmZDgigKBCWSoqrbh8UTKS4ARScOv0zmjSJTTH729/+phRhkMG0N+1uk0AFs1aGbAwGHnVcLSIQBS/WBvQzlLa2oQ86bIJnwxi1WUmZ76BSsLa+sAHIf93nk10H48CmFUQA90CFCoEaO3+Skutnajj7FxT5fpOD9FMOvThA8qKwlSZRV29dJ/sqK5K2D3sH1hIOX6hEXkj47f8ek2nLP5HGpWXy7C0PSOum9g6iyRThoCE244E/p1uwr1lRuXqGh0vrp/2ZkIOMDzImWDv4vDsuuEn92wvT3/A1+4b9DeOGzBW/s+IYu34XWjtw4IB6XtFrY4MGDdUeDkFHPiEgUT0GAx/frwiJqj1Rg8JSxtrUOZ3fAolaGfJ4Uyi1m0aaVW3qAvrEVJOkiaD/XXuo5htMtmmAEII2dYZOX0yWJshm54MPPqjjZWQSKMMo1GMLEHekb9suMkBKISf9XvnW6Y0oCk6n4lXHdz1GPWd85rbs3mb9ujQ5NHfuXBUM8d2oECDjtbox0/RUghI25JkGJwQ6WmUNaaJJXfq9Vnz6MY9s27tTlocrVJ/YPWRnADp16qSUVyhvkvnGmQR9DDLJC+8yiGr8bW32T2wYtP+uadBXSOl3snwqJo2xOkjp9xt6viKtNDZ7gbnFC9IwEWbOnJkV6cCMSdsHndFo1bi5dGzRNkSSrgt5XsZ7bhxannDCCWpd4c+FNJamLp4pD7z1lHr/28tuk/r7/PffTBUdm4WKIG7em17BP/3M2UtwyM9YmTNnjgzodoycO3CM+rc/vvGE+AkIfl5+xyLa49zPg4Z69eqpLK3Yfqo8wisDEjVABiDwijYOj5CoeUoc+dGmCdE4XM12nwXPv/3hxaG4sUgepKO7blM3nxUmUTFDL2Qlqsk2DRBC0KbJwYauprq6TuAYb9Nz2mmnWUu1J5ULIsim3xsEcLpKiVSACsKmii72+U2aNEkp6iikwaYUb8xEQWSTRuXSs303q2pU/d2k1qG80J5oOn3a9Fjk+/CGNRk4c406FRuPVchplNgTJkzwvJo6QTI4uuOR0rJxiOSlH0P+QWpC/HoZmNHOeMLaPFABqGtt+LtqMNewNtgqFkSwikIZtXMy5HNRjVyCslRQxRVr788hZCAP/QTWEF4ozZ0Q7UvtFfp2Plr9nPf50jpzPOvd1KlT1eEo8yDjCI9U1hqIImxe8hm7KvbItx+/U7XLZUPPkVO69ld7KdYDW5XhWQshA2NtXfhzbNEotzj2yN5qvvx8yzqpjiow7OYzObBm7sQbXR+Qk2Wg1ZY3n3ml+vnq7Pdk9Rb/iEPuj2tivvd6DxEL9ouMGb/QsGFDZbsRuxckDjlwoCbnDgGSISBRPUasv1eQzp85Enmm1UFZWMVTsVVtpoyicmfepPKn1KYu0LB+KLX2gJMSNby4ag/VfIPJNg0QQtCmyUFREzYyTuntbGZtVJnXYFNpe2OJJxVBoC0QrEAsQf44KUJNbswJsLWCks2xU+CkU/pnWSBRUd1NnDhR9RUUi6iD9HXaAv0XktbWQQmkCtePUlXbBqxfv94zRdakRdPVz5HHnBz5OwgC7RlKwEigCZFsm9gEzAEQyza9iwF9mqDYZrDHs2VugyC3AeZV+opzSn9+FtXIh+KKFAa0uW44gTEdfajjF5YsWaLGiW0rnFgc3bG7ylbbtmeHbNi5pda/cS08G+0LHg2u1U+iyASUX3J4X8Th6JYtofufNm2amld+8Z8/yebd26Rb607yy0tuUcp9CEXWK/ozWRSAAzdsdABtohX+KoU+xViXfkjGEOu8Bp/Dn4cMGZLWfbZp3ko6te0gK1aulPU7Nrn+TK6d/U7sARTjhSwN1JaHdlbJqGOHyKHDh+TRd54Rv8HBst/+yqzdffqE/PH9QmVlpfKTj+5/2muZuCRfEJCoHkNVIlyxIopEDXWmIJ3fXJsmRHmoCrAcqBKpTp6ClTLyqKhUSm3qAg1TTOfPVyWqyTYNEELQpm5S+ZOrUNnkoMSxRTQACiGhqrMBrn/69OnWAyqILaqwenGKTn8mxZMAAtJWB/4EDgMGDIgU54kXIA06qr/6+eHS2UYtDLgWvh/ilM2wLvZgG7T34sWLrbe7th/QBJ8myiHhbKkIeX6TFn6s3p/aZ5D6LoKPHj161FGmESjbLmSmAaFMf4dItpk6C1FMgTabByyoem3NDfQZFNlORbLytahGrhdXJDsCEtNmhoTTdS1YsMCa5URKGSs1Nb5k9JQWlUS8Ued/viTy9+zrmINQq8dbZ1Ck9u7dW40r1Jm5Ag7DdMYM3tyQ14C+qdsfYn/xts/knx+8ov78xytvl7LiUkU4YvMCWIvPPPNM1XchmY8//nj197qgot4jfPxxaH1J5RDulltukccee0yefPJJWbRokVx//fXqAPWqq65S/07hxdtuuy3y+zwD9ka8eI+wgffY8Gh8edw5Mnv2bPnbv+N/ZiwUQXrokDpETpT5o73CrxtzacQbtaK60ndPUl5+gzWPol1+WV8UFxcrn+fYNY94hLgkXyw5AhLVYzBJjhgxIiqdP6S+K2kYkKim2jQhispEGpY6pvSzYJ966qnq5TpIzDMS1XWbpuCJ6qhEPRhWouaptYXJNg0QQtCmiXHo4MFQZXQHrzc23Jj1a7WjaeCXaTvI0f6RNsFGHssDL5Q6PBOCx0T3hAqFQCUe+TS8d6gC7pzVC2XP/vQPC9nkamKd7yPI5rpQOXhNOtgk+OOBoJQiFrQB6b4E88A0kYsX6rodm9SaN7jngEgafzzg4UqRLNrCi3RBFCO2+zrtjIeuzfmbINxWwR6t2o2nlIsGRTUo7Bek9PsDLG14VrHFFSG/nQjwfFB9J4MmM0jj90sN27dzSAm8eP1Kle4dIr2rXZNF7C+ymZThAFKTpRyS6T6HWlArBsk40IUqSxqVys+ev1+9v+rUC+XkHiGCNNFayPyp/y/2IqS+68/EBki3E/7amlxNRqhecskl8tvf/lbuuOMORc5CiL755psR+xUOVaP3dKhmOdzlxd/zf3n/zW9+M/I7XznnQmV/8vdnn477mdFgnWV/41TkkHmXsdOrRRfp2Lyt7KncJ2/MeV/8BGQ4eyXa2E+wd9QWS36gfv36ar8Sy6EQj/B88yWlPyBRPQasPJtyLbP/Ip0/IFFNtGlSEPiV65T+xEU3qIpLQQJevC9EEtV1m6biiXrwYMKNDt/Dv0f/fr7BZJsGCCFo08Sorql2pRYk9cumihMVqi2ClufORptgwSbhgyqUqrVekIcEDwRKtFsicol1iQrnOl05el7t3KqDdGtzhBw8dFA+Wpa+GpVgiPsGBGWoCvwAz5WAzOs0U8DzHjRokArUCDrZE5icayYtDKXyn9DlGCmu31ARfk4+oahDvQjQCAZR1EDYEhTaAs8VxRJEgy2garPll0wwiJrQidiGoKrJs8rEuQIIueLiusUVOZhg7fADzNko8vwm1lHjkhbuJwnJmtWivKmKhz9e8okaS5CLTn7DgHWJ7AiuX6fDZwPYl6AEZL3QRYcAyknIJT0nxNuf/e2952Tl5s+ldZMW8pPzrk97LeT3dAwLoabJVeZzvY6Rfh5v/3fjjTeqvTUHqGT6cNCuwTr4xBNP1BpHuvhT9Ivfi37GrKW3/ORW2Vuxr85narCfoU34N6fDqei2Pvu409T7Zz56VfwGawLrjZ9xCc8ecYGf/qz7wz7z0YRpqDgYa2F+HCgGJKqPHn4U2iHQAYES1SNfxLJWjiRqWtAkamn+kKimPVGTFZeKTvXPVyVq4N9pHkGbJkZ1VShwTAY2unqTb+UaqqsVAWVLJQqx5UXKEgGITvW2De7JrfKS9iXVPVaxMaL3SernlHDRIregHSGcUMoQ7KXrgWYSbMDnz5/vu3IBpQ+BHQEewboJ8mPCp1PVz6NbdnWdqo+KRwetXgDFkG3Slja1OYcz/9iqvq5JEGcSNZTSn82KuXxO5Y9VWdKnIYn8AvOZXyn00UClDTHnl6UB4Lu1l/c7s6ekVTCKQxgOhP0cX3w3KfqQksw3kFj8HWQgFi1usGX3drn/tcfV+5+c921VLNL0WgiJi10N1wbJyrUyf3EYZGudbVbWRJo2aqw4j3Xb4x9oMR7i7WecwHp41ekXqfcfLp0jO/b5a4/BeoOPu59jCkCAv/XWW74d1JSWlkb2TNEoLilWc3I+ICBRPQYLpi5eoP1QGWj5Shx53aaO0L6oSdL508L+HXmlRE2pTV2m8yfzRdWp/oyFaNI1n2CyTQOEELRpfLA5rqmBRE1+OMd4w1fMFskJwWkzlZ9AANsVW5tVXdiAQNN2qqNO0+7Xr59r1SfXhJ0FgVB0Bfth4ZT+yYtnuP5+/i/tSCDDplvNxcG4ioD20MooyJdM/UkJ9D5YOku9v/bsr7kuVqYPPPASRUVmG5C2FG2zCYL65s2bWyNAOBCABLfx+fQLPAwJGJ2eG8GkTVVvgLrQ5HbDotoxFnOmbQuYZGBuJdXaD4W9BtkVrDtuFJ+20adjDxUHlzdvIgcbpU5NMH+wFwSshV63I3MxcwFZNzxT3nP4murzfXDC0yot/bguR8tXhpwlNsE1Qu4qlXx4XmKOggQ23YZ8V9fWIT/X1VvqkuR8H5k1ej+TKsi+6dq8gyJpJ87/UPwGaw0FwugbfgFyHAsFv2w66oXHQywpzvUwL+eD+CUgUT0GpzykLvEz4odaVOz7iUW+tKl7JWpiPxjMrjEt58X71NL5Q740BdWmDmBRbhAmRhN9XnXYDxXCNV/Hgsk2DRBC0KbxQapM/foNpL7DBh6/UptEzNChQ635EUJukjJlMwglmKAwgxebPVQ0FKlJFcyX9P85c+ZEvDuHHT1Q6terL0vWr5Q1W9e7Ur9OmTJFbfwh1QlIswU8X/z6/CQbYjFw4EDVrwn8GEPpkHNvzZ0iBw8dkqPbd5cj23VJi7jzwmKBwJZ90KpVq6x+D6nNuqq0DaCyii50YhIcOpASnWwdUmmMxfmjwMmltZB2j91XcmjBHt+Xa6qpkUmTJvlOqJM67TXhmAirVqyU5hIiz2atmp/WZ/CMmasoYOTFnlBnjEASaaKoa9euaZPzG3dukScnvaje//jc6+oo+GyuhRCXrCm0Ib7c+JwCk+3YrW3IOgOrgth2nDVrVsR3PV2cN/iMWhkefoL7wD7BlpVVKus3+2S/FNrbtm1Ta2M0iE3yxSM8IFE9Bh1ZK0YifqhBKr+xNjWlROX0KKUTpMr88kRNqU1TUKM6KVHz1Q/VRpsGCNo0uQec8+EcCq1ElU8zBcScTasAUs5tVzUmhX/UqFFWq9Br/zAUqG5T/mJBG48cOVI9S4JI/OUG9eiv/m3Cp1MS/j/tdwlpyvdn4wGWJohNBHP33HOPSrOjnSBBzzvvvEjBj3SA+hAyhnZLhWjnGb3xyST1/uyBo9P6bp4Z30v6qBfBCNdsc57FmxICwhZQhdkqtEGg6uazSemH1AvWK+8QL5WfdHHmFL/AetKrVy/Vb/wEpJmu9u43aI8zB49Wc9pnW9aptPZ0gKpWF4B0LYJJA3w2np+socxdJuaWB996WiprquSkI/vJaccMtroWJgP3Q99gnoLs1wWpMkXX1h3V8922Z4fs3r830o4QuOyzMh0Po/qG7Ifenz/dqs+/W+jsEpt+327AHsfr4pwa2HkxHvPVIzwgUX1I4WATH53OHxSVMtemjigLp8zts+SJmickakpt6gJaiarJ0lhUh1Ouihvkr62F6TYNELRpUg+4kmLH34NISid1yg3w1sw05TkZ2rdvrwrf2AKBNmoMmwQqWLt2rfKd5Hsy+S7+L88U5SwE9rj+w9Xfvzl3SlL1H+o8/q+u7puNMNVHCQhvuOEGlWb39ttvKwL5jDPOSDvY5rogIficd99911Wlb4LuiZPelfcWTlN/PmvASEkXBKSk7NlWSkNMoICyCYhtrXq19fkQKzYIZ54DheCcxi/3d+jwYTmYYB8UwCx0FWgKmUQDBTc+in6AOZpr4gDTLzBfoQ7LBiUY18A6xNhp26K19Gwfei4fr5ib9mfyWShDp06davwe8STFExuf0zFjxhjbe2Lv8s8PXlHvf/ClbyY80LS1X3MqrAgJh19pJgdAjYpLpWOLUOHEVZvXKnIRWxrGg4l91vFdj1GitN1Ve2XjXsMxfgb7SPbCfoF2xfLKL+uS+mELm1jFe754hAckqsdgsmAi4mdloEQ13qaulagVpj1R84tETalNDSpRi/KYDDPdpgGCNk3qAefgs00asq30VgC5bSuVn+tes2aN2ER0RV2boBq7qYCeoGf48OGKJBjVJ6Rk+WhZ3UILkNs6dd8mEW0CPAOu08SzePPNN+XKK69UKpv+/furCsP0I1IJMwHkGBWiCXAJGBIFBhR6IOiuaF5Pqg/UyJFtO0vvjkdl9Lx5fhCpNlVXgHt67733rB6M8CwgVGwB1a6tYkK0y8SJE5MGhar+QVFRVpBXhQAOExmb0QQNBw78nV+HRijk6Cd++gHSD1lz/FbCAu2NqEnDk8MZFIvWrZDte3dllCUwevRopXhj3s0UOl0fdaEmpEy239NT/iv7qyvlmE49ZESfQdbXwlQO0LRlEOMo1ayLWHQPp/QvXb9SZfpo1bAJIEjTBcqmLp4ZsSTwE2RX4CvuJ1iTsLMxMQ7SwbZt2+qsu/niER6QqD5Ay6rZRIPSIjtVQwsJrqXq5YES1S1Myv8bhhfJA4ecPVHzGX6lVOQzgjZ15wEXi2OOOUalbdnA6tWrraYwoYxgA24zsEPpCsFpc2NLhWhINZMBPZ/HZ29etV56tO2iCi28M++LQgv8GwS6LuRgW2lr4lnMmDHDsfp5OtB2EPSnTMFnMOZmzpwZt5o9AQwkJD//8/Gb6u8uPPlMIxYK+BpDBNtUdagK2iecYNXjjYDzxBNPtPb5FPJJ1zLDjdKVSsRO0AqcAN6thdFApc849EsBxbqFgtGveRcCjBcKer/tW9i7RXtxgvbN28hR7bqECvMsm5PxWghJw/N2kyWQCOxlJk+erNqNfQEqVJNARPL3919Q7687/asJn4vNtdANmYrlAs8FhW+6BZO6tzlCPYups6er+zadRXZ8t2PUz/lrlqh10W+lI8+Sfp6JbZCJa4C09Ets0qlTpzpEsjpQzAOP8OzePech6MgDBgxQP3U6PxUJA5hpU/eFpUyTqGGpemnzwmtTF9Bepwcclaj5OxZMt2mAoE3jobqmWoodLGJ09XWnitLpAqLI1uaVjSCEla3iR3z+O++8EynSZAsEd5BtNgIini1K4HMGjlF//u/Mt9XzIA1Rq1VNEIdegOuFZDYd8BMQ33zzzar4mclUdeYjDid4rvrZ8hO1KKqbrft2ytQlIeXrBSePM/KdKL6pTG2bFGHMERDa8iKGWCLAJgXSBgjYUYza8MtjDYJoiK1EHAtIvYN5Upk4m8F8xxwb64eKSn/YsGG+EYiQT37uV1CF6SKCfoLvnz59ulqTYjGk5wD1c9H6FXWyKFIFB4XMu6hHU11rIeGYLyC+8Ry3RXy/u2CabNi5RVo2bi7nnhhas71cC1MB3w0hxv6BfWSqa0Gr8ubSukUr6dCpg6zfYb6oKUpesGLrWnWd9DO/51rWHfqen2MOBbNfKf163ostYstaWFMdKFEDpBig4anCT61ELQ7S+Y21qWsS1aGwVGoXcECkOhxwN8peXzlrbZoCiVrj4Imaz0pU020aIGjTWLBZJEBv6JBmRtosqa22QIqxLcUaijuUrrZAgDtixAhFiNh8TgT3EF+xQb4pQNppku79BdNk/bZNaqxAcGe7+jT2eaAeNE084I1KezzzzDNGP5eDCdp32bJlKjWdNHv8UjWRigqVYGpwzwGq0IapwJZADbWL7RRGPp9qv7ZAYI5a0BY2bNhgzZIAf2MqgycDfYO+nOtpjNmOA1T6Vj7TDeqoChmHfoBnjv+1n/uVNm3aqEM0v1WofD8HWFxPLDq0aKusTlgnpy9L3xtVQ/tGUwgqlbEPQagVrLbWafDvD/6nfl40+MykNVJsrYWpAlKZeQxijHUulbUDz3bUqNzDqs11MzYyRZ9OIXucxetCPqQU4rJl4eIW9B3U1n6CdRUfZL/mnsrKyjpZg1iOHToU8q3OVeTOTjoPoVOYS7LAl6ZgoNP5K3eGyM84YHEYOHCgerkKNqui0lZL7aW65TKKdDq/kxI1j0nUAAFs48CBGhU0Om2y2Yjb8mmCyIGosAWUfh07miGf4m002ejbLt4A0eLFxp60yH6dj5aDhw/JG59OVgUG/CIQ0gXkI8UnTCp2b7zxRnn11VdVmqctSwtSHzlMQP0xePDgiM3Ccx+9rv794sHjrShFSSu3iaOOOsqqjy5Kq379+ln7fGxMKAJlK22RgxEncMgFyRfALmGJCjGaLOTvTM8lqYDrIZXfLy9SsitQotokBN2AQxiK7cQ+n2gM6XWC+rlg3TLZtjfzQw9iuSFDhqjD3WTKRP6NwzVIn549e1rba2jg+/r2vKnq/VdPOcfztTAT0DbYr9Bm7GeSKS21FQL7t+5tQ/PvCgskqv7snRW7ZVfFHunTp4+yifEbuvikX76kjDVb654bsM+KfQ7qQBGVbg6vhQGJ6jEIbkkdUyfRYSWqVukFyLxNHaGVokz2OgU/9lcaNVK+M7xcBdNV4dSwokYiefIsU2rTVNL5C9gT1XSbBgjaNFHg6PQ7pNDZajNIEFtpQ1pFYisIRDUIAWxbpYMqwavqzGcPGKV+/mPSS7Jy5UrJNbDRhpwyoZ4lyINAfemll1RA0717d7EFUsYJeGlzrdb5YOlsWb7pMykraSRnnxB6LiaBhy8KaogSW2BsoOabN2+ete/g81Hs2QIEjo1CXPRRPtfJCoRq8TXhwrIBvFsL+fO4ceN8IzEhmpzsHmwCZeWmTZvEb3CQ5+Qr2rFFW+nRvqsi36YsmmHke/V3oshL5OnJ/OZl/3hz7iQVF/Xt3EuO7tjds7XQFGgviEGI8USKQvo9ilCum70hxaV4v23PDtm5z6x3fnlJI2lZHhIzrdu+MWLjwJzvJ+hTeHL7NffwnLp06eJr31m0aFGdWgm0Ry5nZWTPSCwQMMkwmfBTpzYXNwiUqKba1BGQdJpINeWLqknUErsKkKxtUxdoGE6pKmRPVNNtGiBo03RIVIL8pUuXWvl+SCr8GW2l8nPd6RY0cEsA2yxsw/PBioCUby/UQATsXxn6Jalfr74s3rRKakpCz8hvPzw3IPDR1gOkfOprzuTaSeH/xz/+If/617+UYpPAj5fp4nRcI2MAtTdVsFE/gicmhYqHXHjyOGnSyGxxkug+xpxoU/ECCUJwaqsfMT4Yi7Y+P9qv1jTwOXYiqpijWbP89urLV9BvyMqIXQs5PPSLxOSaWLv83KtAwOm5yC8wLzG2USU6YXjvk0LWKBtXy5qt642RSZBZeHpGzy8cepFqzt+htLflFx+LV2ZNVD/dHKrRFqj5solEBYiNKKpHtsXy5ctrrae0J4pVMjM0KKbdsUWoaOdKC2rUI1qF+tba7RtrHcD7reBlH8P849f+izbg8Niv72/UqFEdgUJAogZIGVrdqEnUIsPV6QoRKaVflmtfVEMkamX+kajAZEprkaMnav4rUYHtNOFCRNCmqfmhkvKLF5kNsIFesGCB2MKgQYNcBV/pADKN67cJggubfo/xKgq3btJCRvUdov7u2emvK0WGn5ViY0FQoa0NIBmmTZsWeR4EtQQ+EydOjJDnb731llJUEQjw7zoowbvOKTh4+OGH1f+lSAhKYP169tlnjd0P10nBFD3WUHwzR81c8Im8PmeS+vurTr1AbAFyfvTo0VZtG/hs0vptBWPcg80UTJuezaSP0jbJEPii2gXpofXj+KFSsMxGUTE3gDzggM50ZXe34N7xQvcTzBcUtXK7BrJ2Hdelt3o/aVGI4DQBxj79A3917e/MoRBrgZdesXsr98kH4SKDZw04zfH3WQtZ0/0mAxOB5wNJrg8K2GugPoQoi7WZOSqcdr9ys/k+2bpJqGjmtr27IusJY485188DZN3/Y9WYXnrZUnDUL3Tr1q1OP8h1X9SARPUYDGKqpPHzC+Iof9V3XrepK+jiUhXxFU0EYwx2XtpU3JUnaklTKdg2dZnOn2ii/MITNX/Hguk2DRC0aTp+qBBWtlRqeC6RMmSzIIytIAflic0Alw00m9gTTjjBeqCmvwsPVILFy4efp/7+uY9ek5atWylFkh9g/ufaID7feecdRfzzgnjk79lga8UK10gVba6fNtMFSKKLflFpmwCNz0NhwWfRtxORBVqFG/u68sorjd0jxCmew7HPeMKSD+XQ4UMyuMfx0idcQdgW+G4CWJupu7TzhAkTrBGBVPIl7dZWP4TotnXtbubYwBfVHniutG/sGEQZTqaEH8DSw6sDtHiASPLbD5vnQVErlKhucUrPAVLcsEg27twii9ebTck+8sgj1X5p7ty5ap1h/+IliTp18SwlLOnW5ghlXeAErpEDmmxTomrQdlgVsT6jyIesTuQ5fmS70D7x820bIlyIKTQrCxF1uytqH5jMnDnTeuFFp/bhgNPWAZ4T6DfssfxS41dWVqo1PToDI9d9UbNzJOYxOEHCa5OfNQWivvOyTVMqLpVAiUpQxSbYySg7n9P5U25Tl+n8iZWo+V9YynSbBgjaNNVUfuYzyAkbp/EQE/EUB6aADYGtzR+bOsgvmz6lCxculFWrVoltUBxr6tSpisTRQfOoY4coj7nt+3bJ+0s/Vs8IZRLXZBv0C8YnfQ7iFCKc6+rfv39EAYRKhACDvyfNEvBnXrE+cPw+gS//RkCplZ7jx49X7+kjmqzAG9SryrwQlgTjpDS2bh3eY4Sxv7pS/vVRqALzuf1HqTFoG7STTcsInhWKdlsebxAtpN3aAP0EMs2WKon+50SiBr6o3q6FzAVadegHGIvMDX6Afs4hFJ7JfoHxgD807ZAKUVleWiaDevSPqFGrDI4Z1hrWQjJE/CDX3lsYyro47ZjBrn4/Gz1RE9kurV27Vj1nDnPjoVXj5orsPHDwoDGrhlgSdWcMiUqhMD/HgF572HuxT/MDPBcKm/qBkpISJbKIXXdzOaU/u0diHoJJhc0hP6sLwAfS6zZNSYm6z5C3niZRS5sUbpu6VKImIlEPHMp/awvTbRogaNNUSVTaiXQeG35fkEi2lGMAdZ+tVH4sCGynuJOerNWUNkEfoK2iCTTm368ODVX+fXLyi+onpLFNVZbeKJMyiTKUvoeKlO/lPW3hJhiEgEVl6nRQoj9Le5HGgiDZZhod35uofz437XXZumeHdGrZXk47+mRPvDA5EGButBmsoTiCMLRBRuoDGVuqeYqK2SKZqUCdiDzQCHxRbfuh1n62jAM/izox/zv1CVugCJzfhXUYxxyEprNXG3hkP2le1lT27N8nHy41QwBh64J9D3sh1kvWJa8xbXmoeN7w3gNd/b7btdBvcIiIIpVMEQ4v4nmO0w+ObNvFSkp/SXjsVx+ovfbxjJkfduyIX1TaC3Df7JVtFDZ0A0j4IUNC9k5+3Hvnzp3r7PtCJGpuHigGJKoPpxBM2PzUKczFeay+87pNUyJR9xtKrclDJWrKbeoArTA9UMCeqKbbNEDQphpsDN34oaLKo7iGLdJm8GB3iops83PDI9GWDQGAaMIqQKeh2+oDpIwSrMbzdrts6DkqI2D68rnyyWeL1PUQ7BDkmFakonZAIQ4gNCGsEhUWcAIb7r59+6alviGI096aeCFqEsWkL6L20iUYj6dyYc3784R/qvfXj7lUunXpqshWgnjb6gvGOqpkW4pLCEBULa5sj9IAyjUIIBvYu3evtSIbkAZOY0p7dkL4BTAHCCatYI8GcyIWXX5g8eLFqqCgX0CBR3Efv6DtZfr165fW/ycuGB329Z69eoFs2W2mnoXuI6yDrIc8I9LQvQBV6ZesX6nen3TUcdbXQq8UqGRZoPDVBwbs3RKRlke1076onxudhymkCQ7F+UzWRNve907AnigVSwuToO+wD2L/4QfWrVsX2RvW9kUNWTvlGrJzJOb5Av/hhx+qnxHiKFCiGmtTV2gUPnHcv9PMBVTuzjsSNeU2dalEPXAovifqwfDf69/LR5hu0wBBm2ocTBA4xsLN76QDNj9slG2l9pIGZMvPDTKFdrFVoIy+CdFkWwVFEJKsynyHFm3lvJNOV+8feftfkb+H/DNhwcB9QhagrkPhihIFpJq+GQv6K5+Xab+FKOdzIJlRTJtSONJvkpHjr855Tz7buk5aljeTS8NqYB1w2jrQ0IAcIOXellKfwys83mx5CUOAE3DasjuwaReg/XaTgfTuQl+7TEMdJjZsWKvPM9Y/+eQT34rKQOBqmxKvwUENc7CfBTixOcmURMZDs1eH7mqv8fa8D9J+lqxPzLtkDuCJGg3mMa8Kf81ZHTpkObJtZ2nTtKX1tfChhx5Shwis9yeffLIqypgMzz//vKo3wO9Dfr/++uu1/h0fcW25o1/XXnttnSwn5lgI/HhV6Tu36qAIchTGW3ab8wuuHx77FCyKNxYHDnSn/LUF2oHDQb+U8dQX4OUHWrduLcccc0ycA8X6ObkWBiSqx4j2NKk5GCJRMc0OkD5S9okpDZs6Vxo6iclDJapp752GYaVgIiWqTvPPZyVqrvgZ5RKCNg3hQJzAMR5QW6LOMw1Sk+bMmSM2N162vKxQJdhUufJcIJpsBrGkqrIxJ2BJZtVw3Zivqp//m/2uKugACBpJsYJMxtIg1eA0lD57IFQss7o6ErSbCkb5vLfeesuYahMy/vTTT1c/UWZTPTgdEIRgEZAsjZ+A/09vPqXeXzXyQikv+aIPEMgRXNokdpgPeBYoOm0GKIwhG7YBjB1UrvRN02DNYF6x0S60OYcITvNxQKLaWgtrx1SMMUhzP2x/mANQ5fmVys/Y//TTT8VPmPKixNubeHnd9k3y6Zr07HewdOEAK968i8UMZDdqStuK1Plrl6qfx3XpbX0tfPbZZ+WWW26RO++8Ux3o4kc+duzYhN7cCBMuvfRSufrqq9W+7rzzzlOv+fPn1/q9cePGqXWQQ0na9MUXX4zbz2nradOm1Tk0RDTTtU2oyOUKgyn9kULFcbgV5gB9sO1XRXjt/+7XoQ5e8hDkfqCkpETNxbGqU9ZCDsByDYUdefoANm46vQxD5XxX33nZpq6JFNNK1Kq9eUmiptSmDihy8ETVf98gXIAqH2G6TQMEbaqhSCwHP2EK+qAIsQGUjKNGjbISpEJUoSKyBdLNYxUppgD5A0lnO3gnjR8VqBP6du6l/NdQ/j828dla/6bVJKmC4AlPWf6vE4mbDiBn8fE1admhPyu62EqqHmVu2gsV6oK1y6RJablcfdrFdf4/yuHJkydbT+sndS+ZSjkTcB8oamypajjgwEPOBrCdmD59urXrdipqlquBYzYDe4TYtZA5qVevXr5cD16kNg8YncB9kwLuF7BOgTQxcYjYpFG5DD36RPV+0qLpsiumcJATOOghjfqUU05JOnenuxamgkVrQynlxxzRw/paeP/998u3vvUtueqqq5QK8JFHHlHP5PHHH4/7+3/84x8VQfrDH/5Q+vTpI7/85S9VRsCDDz5YhxDjAJE1lFeiFHXakjaPV8xP+6Ku2myOtK6oDq1FjYpLE8677Fn9TB9nXPqpDof81gU4vcbUqVPrFPnj4CsXrW0KO/L0Kdhl01xR9cWGNvBENdOmrk/0HZSoTPgsNLxcLaR5qERNuU3dpvMnIFH1iWA+K1FNt2mAoE2TqW/iqaNsqFABJIctEgVliC2/0q1btyobAlsBEwGDLRuCaBDouCUJvn3619TPp6e8VMtbDuUonwGhR+CfTCXBv+FtRRCC36lO3bcBDkjoAzYOSggk+WzuecqUKa6IRoIP+gzBI6mBiQBR/Zv/PabeXzvmUmnZOLzviCF3sBmwWbWbvk2hIxOWDYkASWNLacc+DOWMDfAMbfk4u0kNhuzLVS+4rPUGP3iwznjikCeR6s42mB9j01e9gvY+tGWz4+Z5UFiQddYUTuh2rHRq2U6qaqrlrU+nuFbzcUiGBzJzvdN6z+HaEUccoVSrHLTYwLKNIXuDozuE/MJtrYUQxzyDMWPG1Poc/vzRRx/F/T/8ffTvA5Srsb9Pe0KMjh8/Xn70ox8pf/Vk+0/GJgRa9IEldgZg/Y7Nsi+KF8kEml8pS0Ci8vxRR2vbFT/Ac2HP4Zcalr2OzaKTyTBo0KA6eyfWwlyM4wIS1WMwebEhPHT4UOTP+ay+87JNTSlRCazYdPHivSOq8s8TNeU2dVtYKoEnqlai5rMq23SbBgja9IvAMZTOnwzMZQQGNoBa1EZxGe6NzbctPzmCJBupwvraIa5sqVx1kKxVum4D5ZHHnCwDuh0j+2uq5M9R3qgabGRpk2TBBaQPSjs24jwfmyQgQe9rr71mVa1J2xE0ogwh4E/Wl7lnNwcGL82YoAJlqkpfM/orCYM5iDw+M1kAagJ4sNkikugzeOzZCoIg7E0WA4tNp7fRtziwwi4gGXLZCy6XikrxHFzt5Q2DOZS+5cVBWqLsE7IU/ALPYsSIEY7jIBXwbMf1P1XFFJ9tWaeKJLoBBxojR45MiVDGS9fWvmb1lnXqfbc2IRLR1lrIegZRF2unwJ9j1YAa/L3T70Oq3n333fLKK6/IfffdJ5MmTZIzzzwzKSkIaRmrwERd3LZZK9Uma7aG2iRTbN8XEkg1L697cKnB973//vsJi17ZBv3Q5t7QCXx3Ihsi2yguLq5zYN0wRw8UCzfy9NnD70C4oxQ3KPLFp6egfRE1iWraE7XUH8+jXPCa1AcFidL5I4Wl8vhAIfDvNI+gTVFxuysqhSeVrQ0jSjcbKlfSjWxV0NYbSfxAc9mLDqI2lf5PX/nBl76p3j/x/gt1CjpANuCZBiBKo9se8hCVKsHQkCFDPCnCweZ6+PDhVola/T1aVR0vzY2/Z+NPn0mmQAWVNVVy3yt/Ue9vOONr0rRR4sJTAALVVsp6dBCcrABWpm0HUWJrnELq21K6Q/6aVMppEAySJeF03bmaxpgrRaVs9/1kQOn19ttv+6Y2gyQh/dsvsFZoYtskUPUP7x26r8mLPpYdYdIsmeUMhHKqVjMoUiH9IFM5KDaFnRW7ZU9lSI3ZuXXytcSPtdAJ+MVefPHF8p3vfEcp+fFLffXVV1XVdYjJZGAs0iei1zsKTIG1282sgVvDe5q2SQp20ScZG4ksCGyD7yd28Yv/gYhnf+qHEnfXrl1KkZwPB4p5E3n+6le/Up4bBADNm4dJshgQEJx11lnqd5Cg4/fh9QPj+wgK94fl5kU+T4b5AN2m7tP5m39BfiYg9VJCnqbzp9SmbpWocdpbndYXQGEp020aIGjTaD9Up80Y5I8N0stmyhsKVFvVxVHlZVoxOBkgZ0nltBmgo3BKJ9WZAh1ajfrghKfj/g6BI6nr0QQAxBCpeF5uvHn2pIp7FWxgTYBiG+VjdHERimLQ193gsXefVYW72jdrI9847SJXfcV2yi97XhRAtuZK5hdbacNYHkBo2MCwYcMcSfF0QECoU0aTIfBFNV9gMRqMW6dK5LbA/EzM6QfpxfrAQZ5f6cqsGzatck7ofqwi36oP1Mhrs9+LCDHigTGYydzEIQ77BVNtuXlXiOQjSyFRyrmptZDDLe4/9pCOPydSIvL3iX6fPQD7glglIfM/30WRQSfotVW3Z6cWoetYv8MMibo5TKK2SUKi6gNolMa2PckTAWJ/4sSJvoxR+gQvPw54mjdvrop75sNaaIREpQMyIKjs6pdRLQvGRRddJNdff33cf6ejsJjxe1See/LJJ+WJJ56QO+64w9PrZGOFf1REeZfHpJHXbepajaM9UROoUZlUCaR4uUrlqMw/EjXlNnXtiVp3wmYs6EXEZPGQfG/TAEGbJgocY8H4gkQhjcY0WFNtpLzp4MVWKmSmgVUyoD6jT9r0oSQ9G6VPOiAIu/Xsa9T7v7//gqzZWldlA+F28sknq3bieyiSwwE0xaO8VE+wv3z55ZddBToo/84++2xV9Z5r/O9//5v29+pUTkgYvpt5xk2FaZS9f3zjCfX+J+dfL+UljVLySLPpU0ZhuXT7jJux+t5771kJCPlMrt1GcSxiA1txC+Ss0xyjLQUCmDpQrN3ekE49ergv3mN6TPj1bJlHOPTxS+nGujFw4EBrayz3debxp0ppUYls2LlFpiyeWed3mLdZizlozOQAmSwbClBCIJqwRNmyR5N8LaythRrs+U488URF1mlwH/yZbJJ44O+jfx+gqCZDhXbH0zJW2c1BOhkVbg6kaE/6hp7bO7VsG1k7yeLIBPurK2XTrlBmQaeWzunq2CHZttJJBOYm2tqPMcr+FI7DjwOeevXqqcP42LghlJWRW2th2pEnJwkPP/ywnHrqqaojdOvWTRU34LSYaslUgkPa7RV+/vOfy/e+9z3p169f3H+fMGGCLFy4UP7xj3+oyRDvDirOPfTQQ56a69JxCWa1NyTp/AHMtKlrIgVCrzi8AFTW9UVlUqev8HIVEOShEjXlNnWATtOPp0SN9knNZyWq6TYNELRpJIXRYdyguLRVIRj1gY3KxzodFjLLBtjIk05lAyiAFi9eLDbBPoZ9V7rAG3VE75OUkufelx9J+HsEbBCottKpncAm/4wzznC12WdjTqDHvs5Uv0ZZ40Zdo0Exqb2VFdK/ax+5cNC4lIJdgn2bQU3v3r2VOtIGINhtVQEn6LJlHUEgx4GEDUAsOMVBuriUX4rBvPMGjzmIt+mp7QQOLPDz9QOQXKwRfgAihCJEtmPrZmVNZNzxI9T7GSs+lZWb1tT6d9repKUOpDRrQaZjdWfYfqBFEs/OTNfCaNxyyy3y2GOPKfHYokWLlNiMtfKqq65S/3755ZfLbbfdFvn97373u/Lmm2/K7373O7WPueuuu2TmzJkyatQotQ/gcIBMXiyi2FtCuJ577rnqsAKvVLdgT8reonFpuVLl0q4bd26RTPBZ+ECYvtHSRfuSweyXNyhxC+umLRGCm/XJ1qGqE1atWlVH7RxSxhYAiXr//ferzfvf//53ZcbPaT9sPr4jTJx33nmnmkQZ7OPGjfPV2FqD64JgjVYSMNiZFCkgFA8Eb/y7fmlje218ywm2lkJHv+feo9/r3+c9n/nWW2/J3opQSlxRwyIVpOjf4b2eoPV7bU4e/R5Ev+f/R7/XbH6i91xf9Pt49+H2nuK99/KeUCfQpkzuru8p7It6cN/2uPeh4XhPbH7DJOrhkiZ585yY1FlE2QSZuKcG9eqHfu/gAfV30fdUVR0iSTiLO3zocE71vVSeE/2TNuVz8+We/H5OzKe6TTO5p1wG91DfQcENWWiLPJk/f74VhRgbTKq+pupj5gZ4IFKx1hY4UOZlA/R/Ajn6dSaEG8TU7V++Ub1/ccaEuAU62PfgX3XaaaeplGoUe36QPW7vk8Nxil2cf/75GX+n9g/mvpm73dz37FUL5OmpIfXrzy/8bsqHOyhoWXNtHRwwlrgXG0WauFdEFLaUJATo0QVJTKFZs2ZKDGIDEPFO8wDjkFc+rEV+Qu8lYtdCCt6gJvcDHOj4UTyGtpg9e7ZvacpKXdipkzUVajR6tu8mA7odq96//skk2bP/i8rv8BSoME0B/0yt3sxEvV5RHTqQLC+pW+xM70uj1fe8p6AU6/E777yj5lj+nswFva9nnU6ESy65RH7729+qzFuIdfga9s2aD8HqkBT9aGLxX//6l/zlL39RffjZZ59VPM8VV1yh5mDILsjpc845Rx00Xn311aqduZ5UMofYk+pipxSXAlv3ZObbv2pzyIKna2t3fqP8DmSirQKjTsBr15bAwQkcTCKC9AP9+vWrY3el7QVy6UAxLRKVk1UUIvjM3H777YqMpEHY5CDz/sY3vqEIViq5YTjMwPIbiarN6X+Lh3vuuUdtsPRLD3aCRsCJDi/AhKLJYgYELDugjbSvFjYCLOaYGc+YPVMRVcUNGipPP7wxtGJWb3Bff/31CDHIe37yZ94Dfo/fB/x/PkcHiDwfwMTI9wKuQ3sDcX164HLd+rQunXvSky/fqQ36vbwnro021e9d3VM4pX/j6iV17onTNQ3Mj5PeU80+qSehAX+gQWnePCedusFkZuKeNm7YGDmRX75iea17mhu+p+3btkfUW7nS91J5TvxkzmGhyJd78vs58Z4+Sptmck+5Cq1gcrLB4N9tFNbQ323DhoNnyxppI9WJtrBVUAryjX5ty5qE8UDAZKJd+nU5Wi48OaSWvP3Z++tURuUZECxqkofgCwWLl4ieB7wC/Zq5geeIio3CabRNMk9Usix+9K/71P+9aPB4GdwzPRUYGTA21WsofxLteTMFypLYghGmwN7ZlmKUdE63frepktYEqsmCQlUU0CdvunyCOkys36DOvEhskKhOhk1wGGJrnLlpC9Y4vwoQ8b1dunTxLE155DGDpF2z1iqV++WZb6u5GFEX65fpdZh7gnBjLUx3zFaGhSNYEQCuU6+r8CVYBvA9es/GewpKQVDqPR8KazgXDq/4/1yPnsvIhInFjTfeqOZ+DuimT5+urHo0KAaFvWE0sEfEopE18MEHH1SCOf08IVIRLnGd9HPUqBCubuxuooHdEffC3N6qScjaYOvuzEjUhetCWSNHd3R/eMHcb+vg0s3BKaS1H+BQwJbXuBPoN9HEffQBWOw+NJtR73AWU74//vGP5b777kv6OwTzpChpMBHcfPPNkeBc45prrlETCANfgwCNDQ4bdBQMsWBQRQ8smupATbU0a94iZIAbnkCjzXl5r6sR6vfRVcf0+xnLP5X3Fk5TA318/1PV7/L3nCjp6pL6fazvHe854VPXE35Pp+Ma9HutUkn0XrP9ye4j1XuKfs+1Z/U9/f1LIqs/kEMXPS71+19Y69oJUPWmi36kqx/Hvac9G0R+3VsOk65+1zbl+Rk8p7r3UXOgRu5/7XH1PdePuUxKi4oj98TJ41NTXpJGRSVy/emX5cw95eNzKsR74jt3bN8mLVq2yjlbgAM1NbJ79y5p2ap10t9DdcCm2a9KpOmADbwuzmISWtls61mzz6B/plPwyQ+s37FZht11iVRU7Zc/XnG7XDLkLDVeOLgg1SwatJsOItk7eREk6/Eer+p2MvC7L730kjrITwXcG8GrvtdoxQiKHaoRx8NjE5+V25//vUpLnHLXM45FLRKBts+1eUiDOZXrt6FAg2SALLCReslcQ1+3cbDyxhtvqCAZIUYi7NmzW62FZWV2LAsKAZX796vAvGlUO0fUqT6MJ+IIRAHRZFUhQPttMk/a9ASPxc59u1UWAARl3869pHtpO0Xkxq5hphC9FqZ6QP3PqS/L9/9xj4w+doj886bfq8Mh2grlLH2Y+TPeWudmLSRm5cVncRjHQQ7WRekg0VpoEhzSQng379xG/jf7XenYoq1cNuzctD/vqod/JG/MnSS/uOhmuWb0VyQXwFzBM7fVVxOB58qhJ4fENkQWTus5xD9rY3Tf2rF9u5Q3bmylfoMNZLyyRBvyovhBLo5XhlYEZYLvf//7EdVTopfbVIlE1eb0v8UDpz5InfVLLwh6QY5W4ES/Z4KLfq9/XwfuyPLxIaPjFDcsUoNH/0705Knf84p9D6Lf8/+j32viIdF7ri/6fbz7cHtP8d57eU861SE6vdHxnsLp/PWr98S9Dw3He6oKpQDUK2ki9cLXmw/PCWj1j4l7wrZCvz8sIRJLX/uhw4civ5NrfS+V50T/1Knn+XJPfj8n5lNUqbRpJveUq+D+3dwD6djJgvh0Aamk1cemQRq1DQsCAgP6jK3TbjzhbRGoNipNE7TcMv4b6v0vX3xQdlXsUQqqeClmjD3WW65Bp7t7Aa9UqIwnrJ8g62KDRhQjZFqFvBcP1vFhu+eVkK/sz87/dtoEqp6vaFvIeFuAELahvGQuon1s2AVA2tvyrmOusaVMHzlypCOZpPZBgRLV+FpIdgrFzvwA661fBCpqdsa4H2DeRP3rNSnTvLypnH3CKPX989Yskf2lh6ySUnwPKfUffPBByt6vxDpge3gNJZNX+5tDHiUjLJ3WQgRA+rO0dZjmalLRzDGHsxYyrmwelpLpAeGulajb9u7MKJ37089D2aXHHuF+76itE/zyfUfJ60dxK54rdgy2irc6redDhw6t07dybS1Mm0Tl5ISBSlEPlKAwykycv//975WsGwPiTCqjAmTGfHayl1u2Gh8Trjm6sh4py5CjxxxzjHgFAnhk+RHiKCgsZaxNU0pdCafzy/66haVSQlU4ECnxx1ckq9rUAbpoFL6o8QpLORXHyXXYaNNCR6G3qRsSVSuEbahxCJRsqE24ZghaG4kybN6GDRtmpT0gv2yRyjowt0HQotjo2b6rygr41Ut/VoRhIgKAvoSHJMGPW6/QTPsCpLdtIpV7YSyxd03Up+kz+NFCUmhAxn/vqbuVkndwj+Plq0PPyfhatOLIFgiQbQWMkL+2CGCsxGLFECYA2YAaykZfJkB1epbRWR0B0gMFSWLXQmJI5no/gM+i19YnGsTlXqpAo0H2JuuUHxXHu7U5QgZ06q3W4HfnfxgpMmQLpLWT5g4P4WY+ZYyj/Dt0IDTWyxqXW10L4WhIsddWPG6967kX+g9roRdCA+bdpQsWq3m4qqa6TozoFuu2b5J12zdK/Xr1pX/XLzKUnaCtE/xKzMY6z9YhnhPoH37FT+vXr6/jRZtra2HaUcStt96qTk9QnHLS+qUvfUnOOussJUsmkLj22mvl3nvvFa9AwMUkwU89YfDSD4giV5ClX//619WJA2n9P/vZz+SGG27wlIVnsELcauKouECDfxttmtKiHVaixiNR+RzURLwcP7MyrLgo8WfDklVt6oCG9UN9/eChGBI1vGBqkjVfYaNNCx2F3qYhEjX5uIF0wAPLBiDSKJ5iGig7bClpCEBsVfq2mfam1dbppuYlAxkx9156q3qPtcrkBR8n3VhrxSGKVBukVjRQnVP512aREvobvnCaSE0GvPFRb2g8MflF+XDpbGlUXCp/uOJnRsh5xpVNOwiUlxAtNoBPX9++fa18Nm1iw9+SZw6xbIO4hpxNVLw2VwPHXDlQhNDziyAgpdp2dfpEYE32i0SlpoRfXrDgtP6nyJhBI+TQ4cPyysx3ZMvu9AtAuQF9jrWZ9SMRSclBG/aB/C5zWHmjkEK25mCNJ2uhPhxEmcu+CoI/EVBEUk/Ajde+KaiYu3MXKS4KieI4kEwH05eHfGGxc2hcmtoej+dio3ChG9B/4K78AP0hug6M13Pk/pgxE1oLvfO/zxT1MzkR/tWvfqXkuFR940F8+9vfjvjd3XTTTZEiMV4AGwF8He68805FnPKe18yZMyMP5tVXX1U/UaV+7Wtfk8svv1x+8YtfiNeD5eWXX5b9VZW1ZP0BMm/TlCpRaiVqZd2Khiw0yOt5OaaDVOUniZpWmzqgYXhBrokJFvSpo/73fIWNNi10FHqbqmIaDuOGKrk2jOs18WQj+GfeJcXLBiEJoWyrcA/kl06lMw022TaruA49+kT5WtiL7EfP/FoV6UgGng3PCCUD5JMtFQefS+q5m8/XBT90kQ0USfpwPRGYO1ASEWTiH+cEAi1+f8WKFbLo8+XKAgHc/uUblRLKpFecrcMPQGaWrYrEFIywMSczvmx4pRGzUF3aBlGPJQkVsZOhQf3QoUQuFdTIJui2i10LEcz4RU5wkOCHBznzBinmfmHEiBEpFxgyBQgZ5rRzB50unVq2l8qaKnnx47dkb6VdRTDzBusHa0O8eQ/SUhfF69ChgzQrC8WLO/bttrYWxkLvpThU0AcLsXs3rp1DWtTbXgsTOJxs0ihUhK/CYe+RCBxmAjJC0t3PelnAMraP+HGQxoELgkg/cMwxx9QpbJVrB4r1M5motT8RMmiUHdELBu9t+CIlAgWldMGI6BcqWQ2Uhfg8ciKEtxjkr9enlHwfqtiDkXT+/FbfedmmKT3LJErUlKBJ1NL8IlHTalOnz0yQzn+wgNL5TbdpoaOQ21R5Mx5yTudnHbYRnEM8YKljQ62Av3pscUhT4OCXQMY0CG44XLZFJuL/zsGwLbCn+9GXrpH2zdrIqi1r5f/++7Dj/9H+bbNmzVLPzAYIaqhY7Ca44dBcH6CDW265Rb3nkD0e2Au+++67ESI1FWzftUO+/fc7Fdk8ovdJcuWIL4tJoCTr3r27tf7Evt1GoMxnQl7bsAtgTnjnnXfEBlBU2yDcaA+nWAg/fV65FDxmE3S7xarA8TAm7vMatm1dnOaNPn36+PLdjE/Uv34VxtOV6YklzjvpdGnRuJns3r9XXvx4gkoTtwnWD/ZZEHHabxqegXmQVO2BAwdGfrdDi1AWwIadX9gLml4LE4EMBLgbCGfWPv1ZHHxxaMd641dRn03rN6q221dVkfL/5brfXfCRen/qMYPSIsLJ0PAjq43vRujgR40GnjWiBT/Wnt27dyuxWjQ4CGMcZXHN+1rIaKaL7WyFmlKZKlS18rCMP/BENYOUSZTSMIlaacoTNb9IVGCamNIHBjp9v44StX5+K1FBIZJ9tlGobao2GS6qzM+fP19t5m20u61CLwQeNjZ1qA0IHmxsVtmMovq1sQ+ChCFAtdnXUUJU7qmQ3339NvXnx959ViYtdKeEPO6445SSJJPNr/6/EJqodniPpyBBKcSAJqLozzoFLLaPcGge7zCdQ/Z430fwgKdyqgpEnvH/lk+VRetXSMvGzeVPV91pnDjgmgh4bSljIGht2VoQENpIJ+Yz+WwbARbPz8a8QB+F+HBS5jaoX18OhQ+UA6QGrUKNnnv5O+zl/IhL/SQA6MMotv0AB2nRdUe8BmuQVn2XFZfKhYPGSVlJI9m0a6u8OGNC2l6bqcwhHNJiMUX/I+OFdZs+GD23dGwRUururaxQJG8qawK2iSYU82RdcMjAnoI1hr3cCSec4CuP071rN+WnezCNQ//F61fK+h2bpbSoRE7pdULK/5/75nDdrwMA9ui2rZESAZ9ePyw4Dh8+XOewVbd/rmRlZNRbrrzySvnyl7+sXjTEddddF/nzN74RqvYaoDaYrFDDVlZXqT8Hnqjm2jSlYCOJEpUAjSJpvByNuCOeqPlVWCqtNnWAVpoeiAl89Z/zXYlqo00LHYXcpnqT4bTpxb6GQkGmsWTJkloFdkynwNrw/kSpQoqnDRCU2GhnQCBme5OridDRfU+RK0+9QP3dd578paqW6wTSGNn8Qn6iBEonFZdCnxClBHX0acY0bUpgh0UChJ/2adM+dIx9lE+ppkJDrkDOaiI1Vbw6+135y7vPqPc3DLlE2jUz7wsMICQg4GxA+/jZOKwgpdaGZQbPnb5mY74nrZBDENOA8Bg/frwj8cH4yZXAMStJ1BjygwMzvP78IDQhMTmk8AOTJk3yjcgkLdgP5S+AgIr1UW9e3lQuGDRWSoqKZe22DcojVWe+2QLrydatW1W9GNbTeAfN5SWNpHlZ00gxpFT6ORkjJuYJ1lgISxTT1Igh1k1nLTSJhkVFkYPuVPHm3EkRWyL8ydMB44bx4wdYj/3yUMaWyUZ2lhPof2SzRUMXwc17EvWKK65Qp+Q0Ai88Rgkg9J/5NzxHA9QGAQIbKkyvQaBENdemKal0IkrUup6oDF7SAnk5DuSIJ2pjkUJvU6fPDCtNDxRoYSkbbVroKOQ2DQWOtdU38X6HE24bG5IuXbpYCZhI8bHlp85GEVLZNAjUSTO25TFJOqCtFE0276TxsYHXfemOC26Snu27KgXPd574hev+A/nNtWoFqBPwKyWdSyt4UBpyDfgJQjpBmqHqWbRokfod/o12QPXLmKcyMoVBIZjd+gByXXwmHpjpqE6WbVwtNz91t3p/zahL5BvjvyK2wEECSlkboP2iC2SZBMS2LTsOfIFTJerdAGsHW57DzGlO9gb1cihwzDag4I0dyxzAjBs3zhdl2bJlyxSR5hch4ocSFeLLlte4GyRab9o3byNfHjRWxRcrN38ur85+z+o4U5Xmly5VJDrzd6Lr6tI6dOC6YtNnrj+bAy8sg0wdfHFtrNeod/0qqhR7PawbO3fsSPn//m/Wu+rnWQNOS/v7GTcnn3yy+AH4M56FH2CO9EOIcujQIfn000/rZGnk0lqYduT597//3eyVFBDorJF0/qCwlLE2Tc0TtZlZT9Q8TOdPuU0doEnS2JQa/WeKK+Q7TLdpgMJt08Nx1DexgBhDeTl69Gjj30+Qaiv1y02Bn3SVBvi12yggg2LShpIDdSZEOJ6oNsAzRC0T3SakQj7yzbvlrPu+KRPnfygPTfiH3DTO+VBc3z9BJAERHmPxCDZITwh47kkHb3h0xgPXNXbs2LjXrf8v16/Tx1HWEAxxmB9PiYyCGiI93r87gdTLbzzyY5WGOaTnAEU2169XX/nJ2VBy6CIL9AHT6fG0H4GbDaUe5IENJblWTNuY7/lMyHUbWL58ueofyZTqzOWBJ6q5tRBSj7mmefOwYMJDMC/ZWGOcABnB9/qxH+KQAOLYhprbDZJZCx3Rsr3ySMUbdemGVfK/2e/Kl044zXjMQfvT9qwvem/08ccfqwPn2Ovr17mXfLpmsXy6Zol86YRRrj4/0VqYDjiIYowce+yx6pmxj0Y4xD7GL09UgACvY8fU+tDyjZ/JwnXLlVDnzONHpP3d0VkwXo8h1mH26hwSczDsJegL7DE4WPYS9evXV+0cuwcpCCVqgPTA4JwwYUIknT/f1Xdetmla6fwoUTMJIvLUEzWtNnVAw7AnUKwnqk6vyfexYKNNCx2F3KbxUhjjkZGo9WyQnaQC2/BahciwUeFeK0RsFLzhWUDO2lA9QazY6t+atIHQjO0jxx7RU/7vK99X7+95+RGZsniG688lKIsXTPMMuBfITK0IdSIbaFvI72Sbaq5dk7DRbRX7fyBU0i0eUX2gRq5+9MdKiUrxrb98625lQUMb0q9speKRogoJZwMrVqxQShBbgRm2CabBGEM1ahoQB0cddZTYAMGpk9UH9wUZGCDNtbBe/awp7kQadzqHNJkCJShKRT/A+te/f39fvptDrAULFiT9nW5tjpBzThytiFNFpM5613hqP0r2zz77rNb60qNHj7gHSv27hjJLIFLdws1a6BYc6kQrHzmw4+/8KG6kUVkT4kW2bdmSUmHyZz96Tf0ceexgaVGe2biD9MYf3mvQZziE9sN+hD4Kee4HjjnmmDqkfWgtzI0DxbRYCyqeusX999+fzlfkLQgYzj33XHnwracLgjjysk1TQml4oiW1vHpf+un4VXvz0hM1rTZ1+swEnqiRwlI+Lt652qaFjkJuUzckKoV5IA1tqMJIe7KhWIB84STetKKFTeqwYcPEBrAf4HngCWcaEH+21FT4yEGkJUoZv/SUs2X68rkqSPnWX34qb972uApGnaALFlFohGCIjTIFoSBNUeWksmGnXfm/I0aMcEVSYykACDYhN7EJgOyHjCRtMZ2xQGDzg3/cI1MWz5TykjJ5+obfSpumrSJz0Kmnniq2AMFt41AB2FKiAreWDqkCT0D6w2mnpZ+2mQizZs1SAaVpAgybD0j2ZGnWWLPkivomOwtL1a/Tt215VCcDfR57lAEDBniuKGOugMD1A6wjqC1tFatLBlT6bpSDPdp3lfMGjpGXZ72jDsP+O+NtOWfgGGNxOOtLLAmpxzxzFu91nzyua8gLcu5ni1zt5dJZCxNZTXCN0Vkgen9E/0FNy5rth4J7b+U+9bP+oXqOhfg0EOU8N+119f7SU76U8TVQC8UvItmWvY4TdBFPG8Ug3fRH+hqe5LWUqDmSlZHWzBHrGzR79mx1+q9Tt9i40gm9lgbnAuisTFCoGkBxkM5vrE21n5orFJWJ4EeLrQIp/WmTqPnpiZpWmzqgQX1Nosb3RM33wlI22rTQUchtyobaKXCgbSCTTJOotDsBoo3NJopCG6lU2peQdDHTwBzfhlqUdFR8Q6mia6N/ozxJ1jf4zvu+eqtS7sxZvVCuePhWeeUHj0qzMnebbYJGneJP8JiO7xp9YdQod+mO0WjdurXqo9xDpmnav3vtbypQQ8WEArVfl6PrjAeKarEHNk2ccP0Qh/xE7WUSPA+UtFy/6f5lS9XJc7VBoOrxYIP4QhXJXJycRM2dFMZcUKKidudZJrIJsQXGUrt27XxJqUeh7Vcqti7w5zX4Tohbt8/5yHZd5PyTzlAEKh6pz097Xf053WJEgLGNCji2SE40IJij7X6O6dRDHcjt2Ldb5n2+VPqHSVUba2E0IKuSEbDsF1H2Dhw4ULxEVU21eoEBffurYmBu8M68D5V3e8vGzeX0fpkfktM27BX9UJKjYgZeF2fjkA8F7umnny5eo6ysLK4S9YBLEt1vpHWU8d5770VeZ599tjqFR/4MmcoL9QGbnLPOOsv8Fec4CLQmTZ4sNWESNfBENdOmVLBNKYglYEhSXMo1qsNpZcX+VjXMijZ1QFGYcIn1RD1QQOn8ptu00FHIbepGvcDGHQ9BG5uuN954w0rQBMlpozAGJ+2QGaZBG6AysxG8ar9SGwQqATdFHJxIo9KiEvn7dfepFPYl61cqIlWn3TmB4HbNmjUqHR0f1HRIVPo5AWqqBBNjA883yE2qdKd7kIAK97ev/lW9v/fSH8rovqck9Ge1RYJBotoqWvb2229bKQLFWLNVII72sOEfCtFvw4+ZtFnU2MmgUhgtqXfzGbRXvLUQlb2t4mbJwHVQVMgPNRtzHfftB+jfXhPWmiyfPHlySv+HbIoLB5+p1rZ12zfJvz98VfldZ9IHndZ/Dn8gjMi0gS9BQDWi90nq3/Adt7kWanEbazCqv2SHisyBCOC8nof2VoViachT2gaxHuu3Ex5771n187Kh5xgRpXHQ/tFHH/lyoMX48WMMQRj7QaACMs5iCetcOlDM2MDrd7/7ndxzzz21Tsh5f/fdd6t/C1AbpH6dMfaMyIKf78SRV20KYZ+ykXuS4lIseLwcURNKP5Ai71NYsrJNk0ArTTVpWmiFpWy0aaGjkNuUTQZVLJMBVQGn6qbBRu+MM86wQu5xIp6KH1YqKrN4hY5MbLrfeecdK5s+AjNbqgQIBq18cAIVjv950/3SpLRcpi2bI9/+2x2u/eS02jVdZQftSqpoOu1L0Mo6js1COqTGq7Pfle8//X/q/U1jL5evDz8vqY2ArQrHpJjbqtw7cuRIK6mbqKZsFFrTafc2vI3pZ6QXmgaHLIhLkkHPpbkSPGYLNNkTuxZC6vmR2g6ph5jIDwwePNiXe2afATnoB5i70sl6pdjUV075kjRpVC7b9uyQf059WTbs2JzW2IaUdFv4kawpbXkwpl/oQO6d+R9YXwu5RjfzMfMQL+ZYG573ibB51zb1E09Tt1kXC9cukw+WzFKx45WnXmDkOljDKd5lw9/ez4KMbg4m3VoomMSGDRvqHLYWFIlKgBZvoPF3NgKhXIcyht66OZI+RTW5AJm3KRNAyoNOF4Oqrt1PWeDov7wc/X3yVImadpumU1gqrCjJ9wMFG21a6CjkNj182FmJihrMhoIN5a8t+wROpm2k1KLgsFHohk33+PHjrSiPSOVnk2kDKE7wcHMLCk09+e3fSEnDYnn9k0ny43//JqlahXEJUYuSloCI58qekA1zKioXyDg84FJJj6XNUPsQOGoSl2tJJdCHQL3ur7erQ78LTz5Tbjv3uqS/zzo2adIkldZqY7yl2m5uQbvauGbIAvxvTYN5B9WMDe9FUl1JxTYN+gbzT7Lnp8mLoLhU6usgiF2PUMDb6NdOgKjyg8ikb23dutWXvRCH2DYU3G7vO131XpumLeWrQ8+R1k1ayN7KCnnmo1dl8frUyOAPP/wwJfUvcwzrIarQPi27qX47e9UCWb1lrZW1kEMhvQ6nYmvD4W2mNjipYMPOEIHdoXnIbgkfcKdDyQfefEr9PGvASOnU0sy8zfOA17KV+eG0X585c6b4AVTsNgo2OoF1PDbzrF693MnKyJhEPf/88+Wqq66SF198UW1aef3nP/+Rq6++Wr785S+buco8Apupj2fMCMn/GxYVnI+frTalImXK6V3FYRK1MgOyn6JU6rPyS4madpsmgSZJY9P5C0WJaqNNCx2F2qZ6g+G0fqC8tFFcY/Xq1daqekO22UiNZ4No46SdlDNbldkhoWx4c6HiQ9GSKk7pdYL8+eqfq3739JT/yq/+++eEG10I61j7BEj/VL0CIQVQzKZCDkBox5LafLfbeaI2gTpO/njFzxwPLPg+PPFskOl8Jv3Mhm0J5F5snQMT4FpJi7RxzZACNgI+SAMbxAFkACpBp/lakag5EDhmE/Q6GNu2EFt+2PzwrG34bjuBuQ0FrB97IUhBP4p4gXfffVcd2KWLpo0aKyL1yLadVdHb/82aKFMXz3S93lC4MLooTipzOhkep/YZVKvCvI21MB1VJfdk64AtHrQKuGOLUFtyIJBM0b1842eqQBj47plXGl8TUZT7MXf4VRgOW04/fGCbNm1aZ77MJV4sYxL1kUcekTPPPFO++tWvqpMLXrwfN26c/PnPfzZzlXkETuyGnxqqrJfvyjsv2xT5fcopvboYVHUGJ041FV8UqsojpN2mbtL5ExSWyvfxYKNNCx2F3qZOmw3IThtkA6nLVB82DZSKU6dOFRvgml1ZtKQIFE82UhkhB6ILM5kEpG+66dBnDThNeYOCB996Wu58/o91iB8CeXwBecWqDkhN5/vxSXVDGKXiA4cClYCaTTkK1NjNOn2AoDAZ0fDKrIkxBOrtrg/4UDHaCAD4TMabjXkOoh6CzzQUSdC+vdgAYy4T4iQR+Ewb8w/9nP7udIijFTgB3CPRYSJVtv2oFI9iPJ0DqkwB4YXFjh97ISrG+0E6gdGjR2dsR4IPJ8WlBh7ZT/35o2Vz5D8fvyUV1cnXyPXr16uf6ZKUEM/nHj8qQqLGCkwyWQvZk3Dwhs1AugdDCxcu9KQvc9+bwun8HVqECDXGbjJC8TevPqbG/hnHDVNZMiaBFYjXxZ0Aam5ba6YTOPT2I3t8586dysIrGno+z4W1MGMSlQ0+ZCkTKKfZvNiI8Hd+LGDZDia/jZs3qs7RMFytPIABi4TNm9NI5w+TqFW1SVQWHnzCeCU1tsYT7kBVXipR027TJChK4IlaKIWlbLRpoaNQ2zTiA+dA2LApsqHGgZi18blsInv16mWlvRYsWGBFMYra99hjjzX+ufTrDz5w55WWKgiqMrnmK0Z8We75yg/U+7+8+4z86N+/joxB+hzqoGRjkr5DH3KzSYYcOOWUU1wpWCFInZQzeL0lskj4y8Rn5Nq//iwtAhWQBkihJhubf5R1HIqYBtdqw+aCuQkS3UaVcorl2VDsYEFgYyzTFgSLTirBQIlqhkSlnUlj9kOVSSaFDUsIJxCr+EVkctjnRzo/cz1riQn/Sj7jtGMHq9RwYhHS65+a/KJ8vi3+WkHfgqjMtI8N7zFQmjdqKut3bJaXZ75tZC1kTNAfMs286dOnj3rZxpqt65XHOqrg5mVNHRXdM1Z8Ki/PfEeN+x+dc63x62Fvwv7La/Dc2Du5KahlGuyJ/FLfdo0hrPOeROUUOBYQpmxseMWSp5ycBAiBwGLhokUhEtWH6o352qachKbtiVpV+/SFz8HbjFfSz9Sp/HnqiZpWmyaBDkYTKVH9qGaa621a6CjUNnW7uaCgjo30VNQ2WPeYBioaG6mQuoKzDZUgh8Y2Ut4ITPv37y+2/K/27Ytav9LAVSMvlPu//lPVpk9Nfkm+8+QvpfpAjfKnO/nkk5MGtnq/yHMhPTFZfyZIRcWXLFiFYOR+8FGLVaDGU6jFEnAEcD979n654/k/qGu5fMT5KROogHvHs84GCJxtqMw4WLBVjXju3LlWqoXjV2ej6Ant66agSToYOHCgI9EUkKhmSFT6MgcDfqSFQsT7UWGbwysbhyxugKLSD9EUexDUkiZxzBE95bJh50qLxs1kz/59SiFKen9sIUXilWHDhmVMHh/RsZN8e+xl6v39rz6edB52sxbCz/DvHAZluvdjzaFfxdrymMayDaF+e1S7rrXGLAeesfwR7cM6DS495UvGVaiAvQSetV6De+/bt68vanKsiNg/eY2SkpK4h06htfBQfpKobEKvvfZa5UWXCCxgjz32mOoQeKQG+GJSGnTyoJA3WJ4r77xs01GjRqWueIgUltqbWSo/k35Df0zVs65N0/BELRQlqo02LXQUapsm8oGLxaJFi6yoL0844QTX1WhTAaljkOKmwXoLoWxjc4riyUYaFH3aRjBO32HjamLMfHXo2fLQVXcpsvGF6W/IRX+4UT7bGCro5Ab0TUi2ZEEh10sQl4xcwj/N7TOgD0B868Bwb+U++eajP5G/vvec+vPPzr9B7rv01rQ8uulntK0NlTbFsVC5mQYkAJZcNqoRQ65AKtkgUW0ohVAAvf7661aITOY2p4OLgEQ1Q6IyxiGt/aiw/f7771snneKBw8d0qtRnCua6yZMn++I/e9RRR1mxFaLg1OXDz5d+nY9W/Yv0/n998D/ZsntbrXXfVPEhKss3KS2XlVs+l+env5H2Wqgzs9K16okHPs9mfyYeXLpxlXp/dMfa9j/Y78RWq//vzLdlzuqFUlbSSH58TvJij+kCqwUOef0A49iPeAb1rR/EcWVlpUycOLFOn86VtTCtFYaTH06dqJCJf8NZZ50l3/rWt+Smm26Sr33tayrAoiM8/vjj8utf/1q+853vmL/yHIXyNNmwXnWOfC+k4xVS8YmpheL46fyuoZWoReUhIjWPkHabJkHDAi8sZaNNCx2F2qZuikrxO7YKHpGaauOzIV1snIZzqIt61gZQXdrwWqWowtKlS41/Lv0GywTIPhP48qCx8vQNv5XGpWUyfflcOe/+62TZxtWuU7kGDRqkVD2kk8XbNBNQcHAfL7BAjUjKIqqbVLzECApJvV+0boWMu+cb8sbcSVLSsFge/ebdcuPYr2ekYKPgmg0fOYIclDk2QHvYUFMTjNrw9OVZ20i7Z0ygLrMB5ssgnd+btRAy3Mbc6QaQejYODpxAKq4NWw4n0PYcqPqRScY+xEaxSEDh53HHj5CzTxwtpUUlsnHnFnl6ysvy4dLZKnuOsWxK6Uwauy6O9H8v/VlWrgmRiqmshayfXA+HByYPX/Ewt3FgrrFk/UqpqqlWafxHtKy9hnMYG71P2Ve1X371UqjWznfGXi5tm9UmWE2BZ8sa7sdczL6P7ByvwZxpI2vECRx4IXDI1bUwLRKVk4H7779fDdoHH3xQnRagBOBkBlx22WVqs0eK0Pjx401fc06DYH91OH0tSOc316ZMeOl7oqapIqquyMtU/ozaNAkahknS2ECiUApL2WjTQkehtqkbEpV/Jx3cRqV7FK4EMKYBqWZDfYkiyYZnG3MZJL6NzR4bSxuEMtdrmmAYdewQ+d8PH5POrTrIxj3b5Mx7vyEvzZiQEsHEOI5HzNPGEOCx6wZtTvpqOv0QBdO09fNl/L3fkOWbPpMOzdvIC997UM4dOEZMPDd8ck2DwNlWqjn9AVLZNAgGbSjLIXxtpC4zT9giwPAWdFJo50rgmAvp/H4oIwEVrv1QkqGutzGGnQB5ij2KH9YJrAs29iHR6N3xSLlq5AXSo31XldL/wZJZ8sSk/0jD5o2MHhB9a9Ql0q3NEbJp9za584UH4s4DidZCiGTWTxtemowlJwuBdME9zloVWh+O63p0nT7EHB+d8fyL//xJ1u3YpMjWa8dcKjYBp+XHHAKf5kdxKXg9W/ZRTvMHosvYZ58ra2H9TAOeCy+8UP7whz/ISy+9JG+++ab84x//kO9///sqjT9AXbC49h/QP5TOn+fKOy/bFB+ytNP50yVRdTp/Uf6RqGm3aYpKVCbJA+HFOd/tLWy0aaGjUNtUbS4cghaIBlRxNjBkyBAr3qUcvtqodA8xYoOQJHixcb0aNuwHaAsbZBzB5qNfvUsG9zhe9lZWyPV/u0NuefpXSj3iBNQmQ4cOVT9RVOnNMz8JXGODQwgD/g3VDWrHVLB1zw655rGfynef/KXsr6mSkcecLG//9Ck56Shz6Xum0jyjwWGILUUQaupU29ENUGh36dLF+OcS0BPk2sBrr72WsV9wPEAIOBXuUIGjZH/gmO1rIZmSVNj241r+97//+VIYBvKlc+fOnn8vYipbCnknDB482Mo+JBaNS8vlvIGny5dOOE1lXKzdvEH+9tYz8p+P35Rte82QuCVFxfK7r92m5oC3l34kb8+bqta5WMT2LeYU9gmsnzZU/1wPCmcbit9Vmz+Xzbu2KQHNcV16x81M0irF9xdOlycnv6je//7yn0qj4lKrxB5roh/epOzPTGUJpQL6Vbx6R17g7bffrrPmFgSJGiC9U521YeVKvqcve9mmKB7SV6Kmm86f30rUtNo0CbTSNLqwlPZDBfl+qGCjTQsdXrfpPffco9Kp2OiweT/vvPNkyZIltQJl7VUa+3r++ecjv8dmBRscNr18zg9/+MM6p94///nPlcKD9NI6ykHUN+Ks/LC1CSTtx8ammsDXRtXt9evXW0mxRt06fPhwKyqcd955x0p6Jmo4G4QZ/aFqd4U8990H5Hvjr1Jtgo/cqF9+TaYsTuyfr8HvMwYg/kldJzj92/vPywNvPSXrZWeEXGLvhLoRBVIq7c7/w09txM8vlVdmTZQG9erLTad/Xf554/3Suok5Uhk1WLJ6AZmAz7WhNqMtbXwuZJaNwnbMmxDoNoDHtg0ywpU/Zz13RQPx/7355ptVVWPELFTsju5zfMYdd9yhiqzx72PGjIlkCmqQKXj88cerw6W//e1vub0WxswD9GfUc37gtNNO84UEYY3zQ4nKgZzNdO9EYM8HgevV3o8+1qdTD/nGyItk0FHHSWlJqazavFapUt+e94Hs3p/5wdnQo0+Ua0Z/Rb3/zhO/kAkfvFtLAQq5h12Etk7AT5LifWRw2FIC87l47ZrO5GGO+mDpbPX++G7HxCVFOTjktatij3zvqbvV331j5IUyvPdJYhurVq2ychjqxi6Twp9eg/2bH17OCYsuKhJVsn4tDEhUj8GEv3HTRvVg8z19OWc8UeMUlmJD57iRzmMlqg2vyQiJeuhgJFCIVqXm+3goVP/OfGrTSZMmyQ033CDTpk1Tp6dsPM4444zIKSpKEDb20S8CQFLUKd4C2BQTNLLx/fDDD+XJJ5+UJ554Qi30Gh988IFSRL388svy1a9+VW688cZa16FGj8OemUCOFFIbIFi24YnKRsoG8WvLJoDTeyoE28DYsWOtEFAEXTYKCBDsoFAuLiqWH51zrTz/3T9JxxZt5bOt6+SiP9ykgkJ85ZIBRfnIkSMV+fbW7EmyY+8uNbbfn/2hfLR0TqR4FMR1y5YtXV/bwrXL5MI/3CjX/fV22b53p/TpdJS8/uPH5acX3GD8MJvrgoizAQpL2bDnwFvWSSWZLrEzffp045/LvGvL89JG+wIUubFFUmLh5mAMfPOb31Trz9NPP60CbtYggkNdyZpaFA888IA88sgjqv0ZT8wn0QVnrr76arn99tvlX//6lyJEP//889xdC2PbsV49Xzw6AXGDH6ntEKg2fI3drNm2bEaSgf7GPsTrtkYxOv6kUfKds69UKf6sT5+sXih/ffc5eWvuZNm5LzMi+7Zzr5MTuh8rOyv2yJ9mPid7KvdF1j3GCweI/OTvaHtIe1tzlgZrg2n7lIXrlqv9AN6zibJAmEsY+z955neyYecW6d7mCPnp+TeIF2CutGFh4MZqCM96r8Fe0490fsD8ETtfh0b14axfCwMS1WMQJPQ59phQOn/giWqsTTl9MJXOzyBj8ubFe8fCUsVJfqfQ2jQJ9CSpUzSBXqQYD35UUs31Ni10eN2mWNZceeWVqqgJGw4CPpQ0Op2NPo6fUfQLq5uLL744QuJNmDBBnTZjfcPpJwHlL3/5S3nooYcixCQnwqQyUSEUFUA83y+n0AE1H4SZDWChkHRuTBME5DZM9dmktWvXzvjn8rxspBUzR7LJsxEgouiyQc5CkkS3xbDeA2XSHf+Wq069UP35uWmvy5A7LpL7XvmLbN+bWGHLPROYzlu8QLXBUe1C6eAL1i5Tm2CCR7ftQrogaftjfnWF8rKjeNT3z7pa3rrtCeneoqMVuwueHUGnjQCMOcGGty+pwN27166MbAKQhjbSqukftlRC7777rhVFDsomV4U7Djsf3PznP/9RwSHzMIVf7rrrLvXz4YcfVv0Pi7Wf/exncu6556o15KmnnlKE9n//+9/I57C/pQgw6xjzoyZqcnMtrFfHl9RGf3YCY550flvFjpKhd+/eVjIMnICdja19htMhMQdufhDW9PF6NYfl/JPOkEuGnCVdWndUMc2na5ao7In/zXpXPtsaKiCdKihi9cR1v5ZOLdrJik1r5BuP/EimfDC1Vp9i7mOvZLK4lRNMxmcV1ZUyaeHH6v3gnsdLeUmjhAcSm8v3K9uE+vXqywNX3pHwd00DAQLziNeAEPfDRoB1xS/1/ttvv52Wt3E2rIX5zVpkIZj01ny+JkjnN9ymaRlfB+n85ts0CaKVplqBqn/muwrVVpsWOvxuU51unUgVx2b7k08+USed0akj+DxFk3qcjKIkWbBgQeTPEEhsIseNG6dOR2vjsKtNrw31JeCU10agSJBsI50fYtZGOj+bbIJ/0yCddeLEiVYKG0Bs2UhX5lpj1clNGpXLPZf+QF699TE5sXtf2V9dKb9//XE58Sfnyk+e+a0KEhP13ZMHnKQIw+UbP1Mb2+qDNUp140QAqzTBJbOU6nTonZfIsx+9JocOH5JzThwtU+56Rn549reU+oVAxUaQRFBLhV0bSm0+10YFXYiqeP57JogOG4Wa+FyCHhugj9lQ1nHNJoJjxhnrXSyZjtp+6tSpiqxFaY4aR4N+jscfa48Gak9NFOAtmSnZ7dtaGGcp5BAj2lrAK0Acc41+kCCscX6k80NwQ1p4DeZXrTbzGtGHWRCoEKlfHXqOdG97hDrgWbx+hTz30WuKUP14+dyUU/1bNWkuXznlS+r9h8vmSP325apPVezfrw4HGLNkO3iltmbPYMrbmvV5wqdTZF9VhbRs3FztCxLhw6Wz5a7/PBBR6Jr0LXdzOGDDTskJZFgwT3oN+q0fXs6ADKa6+wS8bSTr18L8Zy6yDEwgO3ftksP1D+e9B6SXbUoQkHLhEK1EjZPO7wo1+/I2nT/tNk0CDg0IjlXl1DDpdfBQiCRoWD//pyIbbVro8LNN6cd48WDon6iQIv46LM6oZTVY1GNVkfrPOs2aDTNKn82bN0vz5s0TpmtBZPK7qkDbgQPqPdelNxZsuPl7lLr8Pa/Y9/wu/1+/B2zOE73n89icECxDGGkVOX8f7z3XyP/T7/ke/p9+D/Q1al9M3se7J/0+3n0kuyc2aEoBn+SedApoovuId0+ofUmFpv8luif9PtFzindPfNY555wTqTKd7nOKd09sLumTBEbpPqd490T6Lter+2T0PZ3Q7Vj57y0Py5ufTpE/vPF3pSp9/P0X1Ktf517ypRNGyUlH9pO+R/SSpuVN1H30PaKnvP7J+zJn+XzpUNZahh53UsL7Zb89e+UCmbRouvzn47dk1ZYvLBZGH3uK8mgdeFQ/dZ1ck8oEatgwUoglnftN9gxHjx4dsRjJdKxFP0Oul4MRE2Mt+p504RDGdKZjLfo+IHw55GKOzHSsRd8Tn71o0SIV7OjfT3esxb7X96P7SCZjLfo9fp9azZXoOaFmcyosxVxG0Ilik3HM2vHvf/9bBYWQWXoNibfGRNt4QGZ+5StfUWRUpqSx32shbRa9FgJIV5N92c1z16pA3uvna3KOTdaXIUB0dojJe3Ian/yefiam7ynZc2LthUTVlcxN3pPTc+I7+X3d13jfqWU7uWDQOFm3baMsXL9CFq1dLtt275BJiz5WRZHaNm0pvToeKV1bd5LWjZtLSXFJnXvi9ea8KXLfK49GDhgpZNWuaSv5z7Q35c0PJkrbshZyxze+rw5lvLpf9tjM5aidM32Gn362WJZtWK204+OOG64KCse7j3U7Nsm3/vITZf927olj5LrRl6p/M3VPTv2Sn4n2M7bmD66VdH6+U+9TvJo/IB61/ZeX80dNTY367th74uDbCdmwFqasRGWijnf6o08NAyQHHeSoHj3Ci0/+E0detSkG96mn84dVWjX7RaK8OTn1xqeJV7RvRmIlan6m86fVpq59UbUSNTT5FoK1ha02LWT42ab4weFP9cwzzyRcK/HYiVbepAoC70QEKpuc119/Xb0n/YTUSEBaDCmppKiwmZg8eXIk3RrfOYDnz8cfh9KpIETnzJmj3mO4rlOcISl4Af5Om7HzuwQRbHz4DO0fxGfzHYDv1KndXItO1eEadaoM1878yoaK9/zket96662E9wT43FTvCZUOpGGye+L/gFTuiWvGhynZPfHnZM8p3j3hAwixRXpsJs8p3j2xUdSp0Ok+p3j3xL4Q9Uaie+LZnn3iKPnb134pd51+nYzue4oq7jTv86Vyz8uPyJd/f4P0+v7p0vPm0dLze2NkeLgA1Oe7NsnMDQvl3x++Kpc+cLNc8+fb5EdP3CN3v/SQfOuhH8tZ91wtx/7gTDn7t9fIb1/7myJQSxuWyHnHj5a3f/KkXNv/POlQ2rLO/VK4i5TIdO832TPkefAMTYy16GcIccC4MzHWou8J8lR7jGY61qLvif9P0QgTYy36ngjq6GsmxlrsPU2ZMkVdu4mxFn1P9Detjkz0nNRnu8gAxv+NNsAjFzIFz7dLL7005ZRbSDcTqlu/10LdBwBtybjmwMFkX3bz3PGNhPA1PT7d9GUIBawRTN+T0/jkunQhF9P3lOw5cb2DBg2yck9Oz4n/l+ie5k6fLWccN0wuGXimNK8slk4t26v+//Gns1WGxKNv/lNu/ev/qaKLz7z3ijz92nOybONqeXHS6zLqF1+Tax77qSJQy4pK5YJBY+XrA8+Wf733X1m+KWRzVFFTGSk85NX9AtaHTJ/h3MXz5akJL6j33Zt0lPUrQ9cV+wxnfDJLrnz4Vtm+b5f0bNNV7r/8p0qdafKenPolZCZzrJfzh74n3ns9f7BHJvvJ1j19mOQ5cW0Q9dH35Dbjxu+1sN7hFEw7XnjhBXXa2Lp1axXAPfbYY0oWC0itIdUon8E979i+TVq0bJW2PwiM/RNvPifbDu6REX0GKT+QAJmBNmUA4+uVUnrDgWqRu1qH3v/0M5FGoQEE+aDTYAk2E3r/Tfi5yOTfiQy5TuSsX0s+Ie02dcBDE/4hFVX75cpTvyxtmrZSvkGkvbRq0kJVXcxn2GrTQoaJNk1nXqe4BYUu2Awk8l5jcSdohFyK9iojdeSVV16plbLDpoMKt6yhVF91QmXlflVEoqysPOFJMz/x/iGYNH16zsaItHvTSlStFGQzZFKJygaR79Nph7aVG9H3lI5yg2f73nvvqTSkaEWcbUVAJveEUoz/y/7Q7XPavHOrvP7JJJmyZIbMXDlPNu1Kv7hR00aNZdjRJ8oZxw2XM/uPkCaNGie9X9Z2Nu6MD5PPkDbk2RHgs48wqeogJRrVMwcCJp8hamquEYWGSfWesq1q0CCiys3GsRb7PvoZmBxrzMVkB0BYJ7qnvXv3yOFDh6RJU3c2E+xVSeGm8vAll1yi+vSf/vQnRQAQzEZbjZx66qnqz3/84x/FJPxeC2kz2q64uCTy3AnAsadAOeeHElX3Iy/7MocKpKMyN3ipJKMP8vsof71UorJGsubobAIv10K+l7ld2+I43dPe/fuULc3qretkzbb1sr+qUn02v89ryYZVMmHeVDlw8IAUNSiSgUf2VdkbpcWhfRCEGIdnfN7wDv1l4PEnqAM1bW3j99rv5hnur6mSf0z9r+yu2Ctd23SSC04aq74jtl/u2rdbLn3wezJ71QJp06SlvHDTA9Kr81ER/1ev7onxxFzF4YSXSlTIasYUc5+Xz4nv5BAIj2uvlaj8WSur9T3t2rVTFSlt5NJ6yq+1MCX5zt133602cWy0+HnFFVfIT37yE1UxMR0D5ULF/sr9IkWFob7zCml5eTQsFmlQLHKwOuSLGiZRU0/nzz8lKrDhj6KVqFqBejCsAC4Uawu/PGfyGV62KevcTTfdpApkvP/++0mLV5C+SEp2bLEH0k9+9atfqY046hptrM6G2L0XT6iUhvZeY9Oh3+vNCYi+vui/j34fTT67ec8mB9JFq1Gj/z7e+2h/OKf3OoUp2T25eR977frgN9k9pfJeXxcbN9KC2Ki5uT+390S7jh8/PvL/492T0/tE1z5z5kzlb4avW7rPKd49oQSIhpvn1LZ5a7ly5AXqxdiiEvGmXVuVGm/R3PnywMxnZf7aZeqQbdueHdKucUu5eMhZsqtqr1Kblpc2ku5tO8vRHY6UY4/ooVIDY5GoHQiC9WFpOveb7L7wq4vXDpk+w6OPPlr1DRNjLfo9AbkmgDIda9Hv165dq0ix4cOHJ7wnp/fxrhcCZfHixZFqwpmMtdj3BF+QnfoaMhlr0e8Zb8nuSX1m/QZy4JD7WIoDfl4cBqDgp8AGcz5zM6oiHTgSXFKU7frrr5f8WwtDRRajnzttotcSU3053vvYZ02baLW4/kyTc2yya9cWFKbvyek9RKKO/03fk9Nzwvs22srJ9Pqe6H1serDTPTVuVC7Hdz9GvWgrFJYbdmxWa9pz095QtjWgW5sj5PyTTpfWTVqqAkotyptKs9Im8uSbz6n7HH/CSDmuS281R3HIQGEtfZ8275c9DgpBxApu7jf2PX7mL0x/Q/ZWVkjrpi3l3IFjas974WvfV7Vfrnj4VkWgNi9rKk9e92tZ8slC6XnEkcbvKdF7fU+QenxeKn3UxFjr1atX5HNN31Oya2fOhEC1cU/pPKf67EdSqJnm11qYEokKY6wnDwpAcPJ4/vnnK88jPyrk5SLobEd07aw8QYLCUuba1M2JdcKU/ort6RWXyuPCUhm1aRLoIPeLwlI6nT//U9xttWkhw+s2JW2RtESUN5xQa18dFCDRhCJrIuujTqeJxhlnnKECxK9//etqoeczqB7JZ7NxcwunUJtgjjQbjNJNA5WdDaBIIpg2XVnZRjV6QKBuo4AQQEnFdUdvOE2AjbKNCu8EdhTv0sRWqmAPiZq0waEQCXJUuy7y9wWvqX8j2ARXjbpIbh5/lSKvCd4z2XdCwjHeTPc1+gOpatGkmSngCWkDXbt2tfK5qEI0OWYSIeVh/NTuTEGAxZqSqEBSuiCVnzXDsV+46NIEiZAxkOqsNT/84Q+V6vKqq65SbUPGIKIXSA/69+23366+97zzziuItZDrsVHQzPE6Dh9WATv3ZWOOTQZ9kOc1UOxBZtraEyQC8z88hB9gX0X/SmftYHy2atxcvf74xhOq8jy4ZtRX5K4LvxMhryKHtHu3qe9pVFIqR7fvrmwz8H+kAJ5WAifMljQE+nK6a21FdaW89PFbsnXPDuXveuHJ46RRcd2xQdHJK/78Q5m2/BO1D3j2uw9I/669ZcCRx/rCL/lVu0L7saYy/5nav2EflWmBwXSA1Q0Haunsb/xeC1PKSWczpP0QAJsMTg3xRYj++wCJoVMLlTw6IFGNtSkLS6TIRCoo1sWlQj4cKaF6X96SqBm1aRLoPq8VqLqwlFao5jNstWkhw+s2ffjhh5VXJQoACAL9evbZZ2v93uOPP67S3Qmm4hG/r776qvrJxuFrX/uaXH755fKLX/zC9XWoLaVD9genujYq3QPUZTYUwARipkktwJqrfcRMgkBKm/GbBnsqiHAb12yamNX9DWVnJllJBBB4iRIYEiCe2qd2YD645wD1+XhtZVpNno00CmXTIPUSBaYNEDBozzCTIM060/ZMBBsBMASqrXFHUTDTBCogzVornxPBqaiUBmsQRCPBImvHsGHDVN/QSp5bb71VqUSvueYa5RlOgIxXp0liL3vWwrr9C1Jv7ty54jWYs1Dcek2gAg6wtM+gl+AAJjpV1kuQ+owq3WuwR6GvZ4Lnp72hvMDBT8//tvzi4ptrEago5vCRVEWY6tWTPh2/yLTYsW+37N6/V601FIq0dZCrAbkVq751g10Ve+TfH/xP1u/YrKwJKLzVrKzu4QYE60V/uEmmLpkp5SVl8u+b/qAI1Gj/dq/B/GFjrXUC9mTan9xL0Pe8Jm41Tj/9dHX4Fo3QSlgv69fClDxR2Riy+dbV8KLBxldX4MxXmPJE/eOLf5UDJfVUkYU+nUIebQHSh67UyqY6ZV/EPw0R2bRA5Mr/ivQYlZon6j++IrL4dZFzHxA56UrJJ2TUpkmAmfq67RvlnBPHyNEdu8vczxbLhE+nSI/2XeX8k+pusvMJttq0kGGiTU3M616juqpKEWzNDRQFSZfgI5AwrfaBmLWxmaOtyKSJ3ahlCkg/imr269cvZ/oOm3SCA3zsswkEwzz3aE+vvZX7pMfNo9V71oc/f+PnKqDUv8P/gVBLlajT295cy6AisGY/Ynr9QE3Gnse0apTDFvwpTavhGc8EmqbJG/oF6YCQBn6M53379qpraNzYexVlrqJi3145FNNmrCME1/FiVdvgexlLXu/x8Cnne00UCksF9FfILj8IGPYhKMyilc9eIdp6KFUs3bBKxv7flcon9MaxX5efnX9DwrXwqan/VZkYrH/ESQvWLpPx916tvvuBK+5Q/t96LbTxDLhPiu1R/yYV4mnjzi3y0owJKoUfZekFJ4+T1k1axG2Lrz30fVmzdb0iWJ/69m/k5B6heZ1CRByA28imcgL+oMwffhyIFBIOHz6s5mvGcPR+DE/UkpLSrG//lGYAThMTLUr5TqCaAgtr+44dQsa7gRLVWJv27ds3vU0L6fwgSOc316ZJoBWnB8IKVIzUQcP6+a9EtdWmhYxCbVPWD6fzTzbgeNVBHprGcccdZyVdkhRrGyo+Uv9ME6iAQEYXFzANqqjaUEKgHGLM2ADpVCiiUoUupMXPWr6lpeWy5k+T5dGL75AHr7wzssnW/oNUhdYVX1MBRBlVYW14+eMXjBLONLhWxpyNuY5CPjbS7kmJHDhwoPHPpQ1szD+6T9mYM6kjQd9w+v5cI/b9Rr16oQI90SAg94NABR999FGkormXoMCS1wSqnkuZu/0A+xA/CFTWqddee03tsVLFwUMH5aYnfqEI1BG9T5KfnFvbmxE1MQpU7XG7c99u9fdtm7VSooHfvPCoVB2oVunv33rsJ/LghKcVic0zsJG5AiCq3RK07IWmL/9E/vnBKyEP1CYt5KtDz4lLoE5ZPEO+9OtvKQK1a+tO8tqtf40QqAC1rx8Eql67/CDwEG7ZVhYn2m8iCPAahw4dUhntsfecK2thbkgn8ghMgqtWr1YdpBBSmL1qU6qvpZXSWxLeiFelEaxGCkvlH4maUZu6IVHDn6u9UQthLNhq00JGwbapCxIVogGfIBuKKtQBbLpMAy9CG95uXCukmWnQtniM2kiPxx/QRoo1yk1dFdg0KBwTWzzGCboyKx5v8QI1DpuP7nhknb9ng016FoGW9hFzC8gGrCNsbNIJZG0Es/QFvMNsAEsUG8QPn2mjn9FPbMwTjOexY8daUXRRzM0pnV9yJHDM9rWQbDLUc35g3Lhx1j0q42H9+vVKUe41UG3Hs2rwAng4Oh1M2ABrKLYf6Rxokd4+97NF0qS0XP501Z219mesY1jMnHLKKWoegCiFdOV945JQAa856xap3+3ZPuRjfe8rj8rNT98tg4cOUYfF6RC7ycD1YX3jZl4iff+5aa/L5EUzFDnWs0M3uXTo2dKkUe3xQNx33yuPyiV//K6yJRh01HHy+o//ppS2tT5v1y41lr0G6zfe2H4AIYH2l/a6TzuuTxbQoEEDZYFSx+M8R9bCtHb+pPGlc3MYvH7nO9+RQkf9huGqZ4ES1RjSPo2MQ6KyAXK18c9jJSqwccKr+7xWoNYcDCk+iiyQENkIP07N8x2F2KYhJeohx9/J1LcrEdio21BfovCAeDGtGmVzaKsIBZteVHymfRTxeLIBntuECRNUBXnTwT7PTad3uin8Q4CEFRTXkoi4YpOdqC30/6FSMZ5tbgokoTKkj9kqPGOrSBPEL35fpqEVHzYOW/AhhlQ37XOM+hhrAw6JTM9rkNU2VLluDhdyRX2T7VkZzD26krjX4MAOBZvXKja+z8ZhnhOYN1DPsQ/zOiPIr7HC99LepCFDXLpF9YEa+d1rf1Pvf3j2t6Rds9a1SHDsT8jq1esaNhWgfr1QtfRVW9bKpj3bpLhhkbx52xPyn+lvyk+e+a28OGOCLNmwSv56zf/Jik+XKPW/qSKEWCbwbJONp8qaKvl4+VyZtWq+EshwfaOOHSJ9O/eq84xWbFoj3378TkUkg0uGnCX3ffVWKS2qu/7TJrQFmRJegnHUqVMn8QM2MjfcgH5sa++SDAhg2AfGFn/NlbUwrRn3iSeeyKlqZ9kEFpnWrdvIzordBVGR3AskC7IcUZxJOr8uLOX9qXNWt2kSaMWpVqCyqQAsuvkOW21ayCjUNtWbC6eNBlWRSXkzXdXbViVg0qDZOJveSLIpZpNmY2MGEalN7E2CjSVEkWkinGDszDPPtBZwEwjyHFGJOpG5tB1BY7JrgdhCbY5KOdHv4UkLccJn8nyTPWNIMmwHbFhQQR7jOUuFW9P9TCt2TYPrRE1tA6h9bShRbfjCAsh1PLZtkKhYqzCvJVP75ErgmO0kKvOxX+n8zC3JrO9swUYxNLfgIIy0axuWOU4WBn4B2yH2Kqmkm7888x3ZsHOLtG3aSq4Y8eXI37Nu0V9i92laXIIataqmWt5fME39+cTufaW8pJFcPuJ8pd685rGfKq/UM++9Wv7v4u+r55CJZ2s0evXqlfDAHPJ0/udLZfryuVJRFSo02rlVBznjuOHSsnHtvkDM9/f3X1DFtFDYNi9rqsjTcweOSfjdtooHOoG9hK2irE7YvHmzKkLo9YEEHrDMozYKuzqpfqdNm1ZHzZ4ra2Fau+hTTz3V/JUUCNgIr/pslTRr1SJSqTxAZnATZDl6olanQaLWVORtOn9GbZoE+uAgokQNp54UNch/EtVWmxYyCrVNI5sLgsckGw28L22kFlLNmw26aYKPtDFeNkDFTipAmw70bAVyEHIU5bGhJmaDCkEbe/pvKm3ZSdGAWuuTTz6RESNGOPZP+joqzGQbaq1GRzWDoqJHj8QFO1Gs2iDJtKrCicRNFwsXLlQkqunAEt9d7Dls+OTil0gfMx0Q8pk2+i4Ep634hvZ1UifmSuCYTVDtFUOiQvpMnDhRzS9eFzzyS0nGOOYAgIMLrwEB4ke/hYAhE8SPIomQbKmu/c9+9Jr6edXIC6SkKJSpwdyLDyqZMrGqVtSZjYpLFelIBft3F4ZIVLxUo8Uo3xp1iTw15SVZt32TfPuJO+WFGW/KRT1HyfCBQ5Q9QLpAaQuhGD1/M0dt3bNd5qxeJAvXLotcQ8vGzeXUPoPkqHZdavUFfp/iwb948UGlQgXDew+UP15xh3Rs0Tbp3h6Smjb2um/xTDjE5jDUSzBvkb1BxonXJKrOIvIaTZo0iUug5spaWDhRZ5aATlFcUhIqLFVgxVBswU2Q5VxYak8tNcLXv/519f7pp59OvPHN43T+jNo0CRqG+/yBQyEPy+pwOn9xARBgttq0kFGobRpRosphqeeDOsXW+gUJpYlD08+UgNpGiiWKFNaMZMRdOqBf2yoUgo8c1ZypuGsautAWAT1tEqvSZXPMhp3K6m6UMvQzt22LQloXnQKxfQiS1WYBFshcW4FX//79rXg/0742vNB4Bh9//LEad6YtVwg0IQdMHzBAyhA8p+rr6wZuyIxcCRyzXYnK3/l1sAqZiWWI18pQyGJbB5Buxg1zudfWSqwtmvzxetxwv5CMHBS5afcd+3bJR8vmqPfnnxQijbhu/m+yvkLBpcXrV8i8z5fIxPkfqr/r2+Vo5T+KsnXTrq3q7y4cdKZ8tGy2zFg5T95d8JFMWTxTxqw+RS4beo70bN9NOrRom3LG39KlS9Uz7X7UkbJhx2ZFgq7Y9JnsCBe7AhSMOqF7X+nbuWcdi8KZK+cp5ekHS2ZFfvfH51yrCk05rf1YO2HbwqGs10AJauOQzgm0CV67fsCPonT6OTOO4mXL5cJa6NkKg0mvjQ17roENa/MWzdXpTaBENYNUgqzEnqhfKFEJVF544YXk1hVs2mryO53fNCkQrUTVp5c1kXR+Z/+8XIetNi1kFGqbRqfzO627KCZM+zvZCta4HzbuKAVNB8AQqDZO2iGgbPnfQXRyUm/ajgHyyWbATf+ESEVNEk2iorgh3ZW9oNt74jMg41BYOfUJrWrlO/h/0VYfPHu+MxUPu3Qqu5Mab1r9zZ4E30EbgR3tYcNqiz5AkSYboO/aGHO0MYG7aRIVVTnKSBQ3yQ6fAhLVHImaiQIvE0CqQSp6TaL6mYK8YsUKtQ567V3J2mLLWsgtAcShr5u1dMaKeSotn4JQ3docodqM/8+hWzI7IMhJSNSH3/5n5O/aNG4hT0/5r1KoolQ97djB0qpxczl34GiZvHiG/GXiM7J+x2Z545NJ8u78j6R/56NlYM/+0rV1R/V7LcqbSdNGjdX/5dWgfv2Q+g8RUXWl7Kvar17bD+2UDeuWyv+WTamV0g9ZemS7znJCt2NV+n70nEVs9+Ynk+Vv7z0n05Z/ov6upGGxXDvmUrlp7OV1ikwlAmuoX5yRHwWWAIfxZAjZypRJBvYujCWv561du3YpC6joZ53oELygSdSLLrpIVdIrdHBCueqz1WrSDUhUM0glyEroiZpqOv+Byi9SiPI0nT/tNk2CIq1E1Z6oBwsrnd9GmxYyCrlNVfB46LBIkmWEDboNsoF0bFL6TXsp8gxHjhwpNoDtA5tj08VoTBOcseSL6Wq7uu+weWU/YoNs0D6bbIYhpnRQQltx6JHK5hh1BocAqfi7QRJHB30oHfizbVULVgE2xhvqSOa5MWMS+8elCw4tIFJNEzAQBDx7VD2mYeMzAcGrjQCWeQ3vRKc+HJCo6ZOosW2HBy1eybb6SiL4oZyL9ibFA91W0bxE4Dv9AgdmjCuvCVy9nqF4dgOIUNCv89GRNcrN2t69bWfp1aG7PPfR6+rPTUvLZcK8qaqvt2/eRnmKQogC/nzMET3lW6ddIs989KoqYgWZ+vGqeTJz9QL1Occe0UOOaNkhkhWYCOwPWBc0wVteUibd2x6h0vVRx2o7AsDa+slnC5Uy9qUZb8vm3dsiNTAuGnymfG/8NxTZmuoBMoeGXvvsAjw68QZlPfcSrPPctx8kKhZMNqy/0llz/bAVSBdGo86LL7447t/TIJj5BwilX7LABen85pBOkFU3nT9FElWn8uepEjWjNnVRWIoKjrWVqPlPgNlq00JGIbcp93zocHzDfw3WGhsbEjbWtk7rN27cqDbPphWDBHq2LAgo4IWPlekCUzZVNigeILpsKrYg22fPnq0IVRQ7pKSn+n3081SrxupgAKKfYJBUVwIU28G+req2jAcIVBsEG8oTG4XRIFApsmWaxGI+Q9XJeDNNWNNH+UzTgTvPDcIl2fPTRCCVuAO4h177Y0lUfDJtqc6TgTmV4jB+FD2igrqtrIhk4DCOYoJ+FPNiPfFz/wcRCunm1N/WbtuofjZtUKaK+KSi/m/btKV8vn2D1JN6qpo9BacGdDtWhh19YtwC1exzLht2rlw85Cx5acYEeWLSf2T2qgWKyOVVWlQsvTseJUe16yptmraQ1k1aqtiM8QM5WlbcSLYeLJae3Y6Sbu07S7tmraVxaVlkfKE2XbJ+lcxaNU+mLftE3ls4Tbbs/oLjadO0pXz1lLPlylMvUDYC6Y4j+pUfsCU+cAJrpdeHPhp+ELd6Hwqis2x0UbRcOFA0yly88847ykMyNrhicSPICCBySEJ+YCBQoppBOkFWBCXhgVv1hceLK1SHU/kblojk4XPMqE2ToEH9MIl6SCtRQ4tkUYpePbkIW21ayCjkNlUkaoKqqRqQGGxSKFpgEpBUtk6tCUBRbpkOgGkvNuamfdsIWCj2YyOQQ0GJUhDy0TS8CPLx2aJQD4Fmuopa/t+HH34op5xySspqc/oQG3Eyf2yqG/hslG88JxvpcBAU3IsNz0FbJLrNgJB2Jn3ZNCDcmVNNk6j4JpOJN3To0IS/o+fyegV4IJgJdCG32GrkBOV+KJqYr7CE8INE9YsI4Z5Zp1DueU18cDjhZyEa1iQOO51INx3rtGjWPKU1gvv65UsPqffnDRwjR5W0l6+M/rKUljiTfBCjFw8er16T5k6Tlz+ZqIpTbdy1RT75bJF66fR8fFM7t2ovLcubS8vGzaRlk+ayYMNymbVmoVTVVMneqgr5fOsGWbn5c1m7faOyJohGWUkjGXvccDn3xDEyut8pEcFMuvDLpot5RAvdvAbrPN/rdUo9+0xU7Pixen3fmzdvjkui5so6aJREJQ2PzoeRfDbJ/bMJVdVVqvIbC2ysCXMA8TzISluJWlORt6n8Gbepi3R+7YlaHT5pLC6QdH4bbVrIKOQ2reeCRLVFMLOxR31BKpvpE3tbewVUZqT+xdufZAoUOLYUv7RvLEFgUvWLf5+tVEg+H0Ui7bNgwQL1M9Vxyn0TpKZz/1T35f+hROX52yr6ROBBVW5byjeUS+wZTZOoHLDMnTtXhg8fLqaB/y3tbjq1mLa2UfgJ9OrVy8rnkrrrRFarwDFMCAbIfC2k+Bhj37TljBM4XMReyA8wx7JeeO0TyrxkY111CwggSDc/lLB6fGO9wyFMormpYm9IeHO4fm3CyAmPv/+CUpFCUt5xwU1yqKJGiqNS6d3i1P6D1WvlqpWyfMsa+WTTMpmxYq7M/3ypKhSlVapugZdq/6595KQj+8mIPifJoKP610rxzwSktDOe/RBIcODFi5jCa7AeM2f54afMXt6PtadHHLLc1n7XBoxGnS+++GLCf3v77bdNflXO4tDhw6H0qYYh6XyAzJFJkJUxiZqHqfwZt2kS6NQT7YlaE1Gi5j8BZqtNCxmF3KZulKiQcDZSorS6z0Z6PNY/XLNpPyoCLNPVvKNJLlQEphW/EI6mPVyjAcllU62lST+ykzhk534g11D6uU0h15YdbsH9oPrj/6AQpq9CFNv0CcS2gHuytacz3a+inw9tZAM8Z9rcdLujXEH1Rjq/afC5pNnaULk6HTYdVoFjIKwwtRZCiPu1L1i5cqW14mfJAOnkl00c4535z490ZJTpflg3xK4BrDuJSNQe7buJfCqybONq158JwfmL//xJvf/JudeFUuMzLKLepHETGdjsODlj0MjIeolv6oK1y2Tzrq2ybc9OlZq/u3Kv8k0taViiyNFGxSVyRMv2yqO1e5sjlP+qrfWOZ+m0t7UFvMFtHdI5AR9WP8Cc4ZeNwPr161XGUvQBcWgtzI2YzjPmgirBflVay7Z0fjaVhZC+7BVSDbJqobhJeoWltCdqcX4qUTNqU5eeqCzeWpFaCEpUW21ayCjkNuXenQhSlBEodcePH2/8+22pBKhQStq9jfbipB+CxHRwC0FrqwgB5CxB+UknnWT8s9m8al9Xk8E36azM7xAJOjUawhZQiRWiym2ggtocOyiUTm5VrFu2bFGH1ZrA0/YTqGLxSYVgMRUA6uJ2qDltpNvTlvRZG0EO7Wkrnb93795WPpc+a8PeQhdBs4FPPvlEqc+SKV1zSX2TnSRq7fRixoyNonxuQD/y47s5rPKLfOKeeQ5+kDHM8xyUMf/6JU7SBXJiFeVYKrE3GNHvZLl/wt9l0qKPVeX78pLka8WqzZ/L1x78vlQdqJYzjhsmV592cVprYSz0usthFPssMhw6tWwn7Zq2ksWLF0vvIb19z+ryi9ADtIkffqisPxziQaTaOMRzEgFwCEI2jdfYuHFjHasi5vL6OVIzyLMV+6KLLvLqq7I+nZ8gor4EKlRTYGF5991309u0lJTX9jgNn4KxIeCV8HRT/34ep/On3aZJoC0sIE95aRVUIRwq2GrTQkYhtykBCye2yUDgfsYZZ1hLHSTtyjQg3mydyC9ZssRKkUs23Wx8bQSwBMapFKFIFTt27JD33nvPqCI1WVoyG3UCOb6Xw3Wn76Wf9+3b15FgghydNWtWJLU+ngLSRro0Aefpp59uhUC1XWCDNFhIWhseaytWuE8NTQX0AxuqYvoFxWFsBLCkSjpZZgQkqtm1EJJoypQpvlwPljS2Ci8mAzHLm2++6YsXLGtUly5dxA8wdiZNmmTtECQVYCMBcaqhx/Sgo46Tbm2OkL2VFfLPqS8n/QxUoRf8/gblXdqrQ3f5w+W3q/nJ7VroBrFrofaU9bvgNan0c+bM8eW7aQP2Qnv27PGlD3MQ4McawJ7bVkaKE1hz8TXO1bXQ6HHDxRdfnLBj2ghccjWdn9OqTE2XA3yBjBaWonDgQ6EjUssbFKmFxLFoSp57oppcrOMrUQ9IzYFQYEh7F8J4sNWmhYxCblM36fz8DspOG5tjUuO1utAkIMRRROBfafq52lBzakDmQ5aYVvbRxpCOtjaWbGCHDBlihFyEkINQTuZNp7+HNRaynD+TBslPVDGxBUK459iCKVrtQ9/+9NNPlQch6hUnco3vRA2Ifx0HABBbmdw3ymbu2ablgk0CnQDGra1CqmMYItUGZs6cqfqD6YMWniW+uVQ4Nw36m9NcmUuBY7ahfr36ciBsDaXBnElRO79SVDlc8brQE/ObX/dM/124cKFSoHutZGTccFjsNwEIWF+4fw6RIKei/WmvP/2r8qN//Vp+9dKfpUf7rjLq2CG1/m/1gRp57N1n5b5XHlXvKfb0n+89qAo9JVoL04VWpGJDgBIRdb/X/sGJrsuPAwjAXmDcuHG+qJnpu+wf/QD91Wv1K+BwmBpBjJHoNldrYb3cWAuNznTvvPOOPP3003UGAJtiJOgBIFEPqYWuYQEo77xCRgtLNAkKMdrAZVXWAkjnt7EB1J6oqFB1tUoI1ELwB7bVpoWMQm5T/PPYbDhVpZ06daoiD3XqtinYMr9nM8k9kWJumlSAzCBtieDGNEixs7URJZ2ftH4bJDB9h4wLAn8CmExItVSIM9pKj91oFSep8ZCw2EVw3/Rb/g4yEb8yrvWNN95QZAF7KVIlGQeQt27T8CD5UC2ZqOhsM/hAXQtRbKNQDAEMxJ4N4gEym8MtW8SvLdjah7z//vsydOjQpAVl6MN+p9Hm04Eiz5L5iLnFa3Kaa/EjrZ57Zg5kbHtNiuixw7rtRz/mGaNi5HDXTzKV/sa6wrWgLOzXr1/k374+7Dx5b8E0eXPuZPnqn74nZ/Y/VYb1HijFDYtk0brl8tqc92XTrq3qd6l0f//lP5VWjb9Q6fFcOawdNWqUscOvffv2qb0Fa6KNA7VUwP3x7GKViV6B5wX88NflUJd7t7E3dYLec9k8sI0H5gosx2LX3Vw6UDQ601E4gM1TvCp9tiru5hoqq6vUCVXr/t57T+QrMlpYGhRT2hMnY5Ga/SKlzVT63LXXXqv++dFHH42vINDp/HlaWMrGYg0wKgcHDx2UmnAKNhuIQoCtNi1kFHKb6k2GExE0ZswYKxsSFHhs/ExXIuZeogMPkyBQwE6HQMs0YUL/Y0NoIwCAPESlaROQqASA6ZDtKPggiJxSlhMh2h8VRYzurzqNHfIY7yzd10877bSI/106G3+CJL6HzToqWNo21f4AIc89p1JpOVWEDtztEBIoQFAh2fBBw9sNclv74ZoMunjZ8Kyz+SxRNzlBqatzJHDMlawMyGviUsfMMgvztV/AZgcyxmtVIfOnrYMTt4C4ZP31S8kI2BNBhDGv0iasWbzoo7we/ebdcvvzv5enJr8kb8ydpF7RaNestfzonGvk0lPOrrMm8VxZC02QxOyFsLygpgAv4l72AH6QeNHPDz9z03vKVJ4d84gfqe3sH/0iDjmY9EPIVFpaWqdoph4vubIWGt2dvfjiiwn/7e233zb5VTmLwxIqtlAIHpBeIaOFhYkDNSqFpcLqUhaXJ598Ur1/6KGH4pOoEK55nM5vcrGORlGUEhXDdPV3BTIWbLVpIaOQ21R7WjkpNiF7mNNMBxaQbbZO7CFoURGlS8olAteLIswGaOdp06Yp0to08YWqCEKRlGMbRI/2EU1XBUDgA0z4gkYTZNFp8tHKZ1P9jsCRvsaeLJVnxiafgm0EW7YKivEdNhU5qFtteUkzH9uYk7EFw75h9OjRVohf5jTTlZm1p22y+ZdnTTGNQlzHTIAiJLFZGfykoKIf5ABrF/7bxx9/vOffjQ2OX/2I9QmRkB9pyTznwYMHi5+gD7KeMI/o8U42AeSgLqxNpftff/VH8o2RF8nLM9+WJetXqnioS+uOMuzogSrFn9+JB9ZlUxlA9FFIQ32gTGYGpKqNA2a30NkmfoH9hh9+wiCZBZJNED/oTB6vsXnzZrUHiSbuDx0MFQjMeyUqp12QSz169DB7RQXgiUqgURSk7RhDxgsLvqiQqJoYdYMDlV/83zyEycU6Xjo/C1VlTagCd3GDwiBRbbVpIaPQ27RBg4ahTUcSFS6b+Ni0MhNg08UewEbqDZ9raxPFxo0g03QFWNpj7Nix1gIQniPFmGwGqJBUFMYgm8jNfUCeQvTZVCBBQE2YMEF53plWm7MXI7hlPULpCiHq5r75HXxkbabM4gvMdUGKmAbEHnOCaYsPDRv2AwCCExWyDaBWtPE8SZWFrNAkSjxo9U1AoqYHvVawFjaIiq2wwmB98lqJyjzFQY8faan0ITIiUIF7TYaxBrKumrBJyYSbQFnpdUq4Xj9iVZSQY9qrm7mAOZc+0bvjkdL7nFDGo5drIesK10MbRc9JPDdekGpcp9c2Wew96LumsxdSOQCAWLZ1KJoMfO/cuXPV8/B63DBX4DNuqwCtGwI39u/oB7li8Zf27H7LLbfIn//851p/99prr8lll10m3/ve95RRcYC6qKyqVJX76vlz2JGXYGGh76VdwVarSXWxKFdfGiZRG5ovrJIXbZoA0QWk9ldXFpQS1VabFjIKvU3ZbLDpcCI0bKXHU92b4ME0IMZtbWYhjwiubUCnxNkAHqG2FT4EnqS5u9nAEijjWUpKuE2gEB0+fLhVnz3mD5SIPD83xDGWEBD9Njf6CBRseZQROHG/tg4pFi1aZOWzOURwmu/SBaSCjQAelU0yAhUcPHhAESu5EjhmG3ThxNi+gWUFBLbXYK6iwJAfairm5enTp1tb45KBQ4guXbqIn4Ag9NqTVa8f8dqcfkn2CGQRB5QoPv1YC/W1QZQmm+cgE5cvX+65IpO5nZdfYF/o1/fTR1h//Jj/2WvbyOxwA1TPscpjTaLmCtKe4WHNL7jggsif2TSdf/75MmnSJPnHP/6hTmNsBRM5jXqiFpniBHL9AD4EWcVhNWk6StSG3kvgvYCtwJWKe3qhqKgKtWFxFLGaz/CCDCg0FHqbuiFR+XdSzGxsivFSskV2khq/Z88e458LMcWG1VZKv619j065g8CzBYJ+iFSIQsiwRNDBBvs80+nP8e6bINRmgEHwzzyCkgpFTLKxwlxje5Ov+70tuwxURk7EXrpI11fXDaj+DQFsGjzz2bNniw2g6nIitJQlSw4FjrmyFlIpnpcf4IDJ5lztVKnehLVKuhkTM2bMEL9AfI3y2KuDdeYOVKGsH8nanOdCMUTWMg6eUYR6sRaylqF0fO+991SbsF4nsxZh7ibLQt+bV+Cw3+vCRrGKYb/mCvYftj3vE4H11I8ieABrnthipNRLqV8IJCoNH/3Qn3rqKeVfxskf/h+oGe69915T15k3OHj4kFIw6AI7AbIgyNIp+akoUQ/ktxLVVuDK52k1akX1/oJSonpBBhQaCr1NQ4Gjs68h/mw2ggqCBlvBCsrLuH7UGYKggs2bDaUOfdFGoZ5YxYRtlQiKzESqTN1+KFC9GHf0r5dfftl6UKz9hT/55BNVsTgWOs2RINO22golEPtoG8CDDN9CW4ETSjBb/m74Gbdu3drKPGbrYAUiDXVXMuSa+iZXSFT6OgeIfoB5wtZhghMgJrwkwKLB+LRhQZIKmN9QfXrRznPmzFGHp25tYAAkr+4bFDZ0q4BMdS0kTZvDUOa3VIqv6gNb1kJbyv/o/cRHH31k5cDcLbhXDuj8Agd4fs1T3Lcfc8Xhw4fV/j523QuthQ3zn0RFghv90CdOnCgXXXSRahAa5rbbblPeHQFqo7KqSgW0EqTzZ0+QFUnnT0WJWpXXSlSbgav2Ra2o2l9QnqhekQGFhEJvU05s2XQkI9VYk6lQbMPvDyKNCsg2SD1SfWxcMwECQYUtIpINqS07IxQkXlRdZn/HITnBBQGiBn+m/fBM9YogQPmJssoLtTljBc9N2pl7je4j9HX2bl6kOVKQxpYqh+cJqWcj1RhSgVjABkHL89i6davYAPOBLUU9hypO/oIBiZo56jdoqFRMse1KmrUfSivmR699OaPXIL8yQYn/UdBHrxtegwPY4447zup3MB9pcjLVfQoHTXq+oZ30moI6VSvz4vXZRGshhwUcrgKEbNqqpXv37pGaAakeSHONrIXMS5lYEKSiHvYTNg7s3QIBol9zBapjP3xg69Wrpwp5xY6dXFsL095FUYH2/vvvjwxamPRoY1qk2X540WQ96oXaprQ4PxWMfiDjIEsrUavTUKIW5SeJajNw1UrUvZWh9i6UImtekgGFgkJvU73ZcAoSIR9seFey8Tv99NOtKBI3/T975wEnVXU18LsVll7sDRUbiigCooiC2LBrbEmMJTF2TdQYNc0So4ktlhhNTKxfiqaoib1RFQXFRhcLgiUW+i6wdb7f/+6e4e3s1J3X5/yTcYfZ2VfOu+2ce8oXX9iQfi/YfvvtPQt39No7E4VpwoQJHcKgvACjoeS8ZXGLx4gYUv3Ez/7NvaHUzpgxI+khhNcyueRQOLy8d847e/Zs6wXs1XkwcHiVWxeFCAOwFwZaDL+MCV4wdepUT/Lh8Rzz8ShuiZjiGBVPVAwjhFAHkZuUOfnFF18MJDcpm2BeFvvLBcbAzoSru4V4XLKZ6cWmF16TzIW0t2LHaXJfY+jkWGJAwrAquf55UUdFxhOZj5mHxVhKCgXmDSDfqRjFmLOKKcbIvbHOIPe9F0Zx7hfjL1EAQVZjZ9PUq2KI+YwTPLMg0m8ge682JnOBh3Sq968tsNjSEqm5sNOt9uc//7nNsYEFnYUlXgujR49O/p7FTra8G6VKE/keystNRXl0GkkUKErJEk/UNsMoSgYdnFfGnGTJwlLxNKJ6qbj26Nq647i0ttWoU10i4fxQqsY+LyllmbLIZT5BCc8GBlQvwqU4Pwt7Lwx6GGi9CgtEIZgyZYonoWp4IHmZ24v2Trok8nd6DcY2vEQwYPGs8brxe12H0fjpp5+2P/2Ce8X4gnLLWhYjG8qO18ZjqeZdjOKbDRRy8hV6JUuuH8XdCyjQ5JUXNgYnL9q10+iRCRTHqHnfhBHkhwKeajRjHZ8rnYIX0I/ZUPCqL+cCT9SgCuWwSelVMct8oR0wdrs91mEUx0uTudDNPsuxGN/YiKLNUOyHn6xVxMuUdRapdLgn53zEHE1+clk3uVkgD+MeTnNcl9sbAhjwZs6caYIEmTK/e522IFu6l6BkgE6AAT4Iampqkl7SAqnJaNNRSs/WaSMqOwcsxigmdeihh5pHH3203Y3jKUF1QqU9DIjsKpVpOH94lKxkTtRWQwDtmOTbvDJ25pjnRPVSce3TrWe7cP6qEgnnD8IYEHdUpvkVl8LbwavE9cxnXuRzwosIZcWLUEyUE2TiFRhOyJXmZd45Fv+iXHlpCGDNQsFQvF6CMPRgND7ssMN83yzhXjE64o1LwQmvPWVEKWbjwCs5Y1jAyOmFLBmDnnvuOc88pMlz6IU3FHLH8OCFsSufHMkyvpWrY0VRiPKdmiMcQ2K6HMd+wDgdlIcd/TCokHr6EnOTF0XgCrkGiucx1rm1hiAn9rRp0+w46uVcSDsWBx7C3Nk0BcYpmQsZWzBWy/f9mAtJ3eTm+I7HLHmug0TWgkFtYrHh7keKpkzyl7blNz3T5E6XAoslYUSVvCO33HKLuffeezuEB+Gme9xxxxV7fbEjUZawA58Xud5KlaKVrE6F89fHPpzfK8W1V5sRVSgVT9SgjAFxRmVqTEVlpWnKUVwKI/O8efM8CW0j9xgRKV5AOL8XaYFYpOHZ5tViDU8Q1kdeglEpl5dbsaA4sVbB64ZNcdpREIp5EJskeLChMKOIEx7LNXiZDxWPkOnTpxsvYZz0qq+ihJLaw4uwRIwgGMO86K9eegKR6ixXBADtqiJiimMYQX4UJEkdK8i7R37tIOD5kxYkCAhPDiLXocDGqlfpNwqBzT83igYxF7IBRcRtkH01KIcBjI2sA9woJso8SgpIPMSD9MC34eOJRGDjA8+SaIUgQvll7stUQNRrpk2b1iFCAHlIzZSo4NkW2UMPPWQuuugirw4f6XB+FoSVuuscnoklxROVQeX888+3r4wDTNITNZ5GVC8n6941PUrSiAql7DHpFaUuUwwjuWTAQpVQLC9kxXxG6KAXBiYJJ/cCUhyQs86L62ZRTFi/lwtUQpC9MogBnkREFKEw4Q2DRxWL7jlz5hg/oc1SpNSvfi6GYiJR8CLEIxqlGUMblZS9AkOtl14heIXxPL0yBNOfvFKIaXs8Cy+8Rb30BMJrK1eUQDOKYwlvAno9F9KXvdpAzAXGGUL6g4I8mUF5g+LdF4ZoVNYP4rFZjEGYDS7aUJAOUH7Phalw76z38EgtNkUGodxBGQ8FNua8KoyabwG4oDZZuGfOH9S9Dxw4sMPzj+Jc2CkjKhXfWLwX+rrjjjtMqdPQ2Gg9SIyG84dnYpGcqI2tnqgc56677rKvjMcUT9SYGlG9nKxTPVFLKZw/yAVQHFGZtiqOLD6yLYYwAmGQ9Co/G94eXjwD8n5SQMGLfFWEwxFK5pVXyVdffZUM/fMCrpswVdIquZ3ygOMRTrjvvvu2azMoxhhvuSe/8u1x/qOPPtq33IKE77///vtWvs6KwXhckxID2bj9TDHOYnDPmIPdpfY+YsQIz9r7rFmzPDPY4Enm1bExsnmVX5g0ELmqLjc1NZqKEtpI9mMudIJhn77lRVqYfIxObAAElW+RPh+kpx85L/HGDRIMNTwH9O7OeFDSbgg73mOPPQL3Fvd7LkwH7Zl1E22rM32KzVk29Nm8CvI+xJC73377BfZcN9poI3v+IOCehw0b5ktu/VRYP+El73z+fGajMiJmRO3U1T7wwAOdOpmXxRYiQ1lreEnXLvHMpRnkxOKWJ2peyHdjakQtWqZ55EQVqiM2aIZRpqWKyrQ1l57kgqvMoowTWodnlNvzMEra2LFjjRewsMJIiDdPahJ6N5QBFCwW9V4Yr8iH53XoH9fPQtzNc2CswuuSZ5oqF85Dn+M7b7/9tv2O1woIbYCQaHJoeXUuKUKCLFmfpctjKF4T77zzjqvVfDk3xga323eqoZCXmwVHUsHg7tWGAbL3QuHGuIU3OmkI3FYm8fIhh2I2LzhRHGu6rTfWK8V7oiJXGSuYn4L0BqWAIUWWGFv8xqsojnwJsuJ6KmzGYkwvZBxhc4u0LnjBe7nBFaa5MB+QBddCQSa8+FnrFJK2hufAZmyQsBZmE7qQa3cTDNB4OAeVSoBUUMx/1Dfym/fff9/Kn41pQTano+aJ2qmrpWqp0jkamhrtAFJRpuH8oZlYqtt7ohaWEzWexnAvJ+ueXVtDQ2UXs6pEvDDCsgCKEyrTtlxwbcpjNiMqixOvQtHwSsTLw21FkXvbf//9PXu2pCFAURo1apTrx5Yx7pNPPrGh2l7AOci9imcH8qcfFNuf8DDBQyGbAowxjnUgz4UFMaHvXhnoaNcoawcffLBnnivc94cffmiVQ+4/GxjF6EtiMCymbaLE8Pd4OXkJxjw8wvbaay9Pjo8BGtkV2/6yRb95AQY2cmp74a3HMXONt1FVHMMKRUmM3VBsbidTxnnGkSCMioyTQT1f2hdFAen3QYROszHEy2nUDgLOLalSMJw5IwwywTWTN93Lza0wzoWFyJTNCebLfJ8v7ZH5M6gQciekI2BcCMqIyppt0aJFto0FWYgvCAYMGNDBKzyqucHDs01UQuH8Nq9WCAaRuCATS+fD+TvhiRrznKhFyzQLKOcYUoXqEgrn90qmpYrKtBWSseeSAUURvFqwoZjg6eEFLLyZM71YeCOPvffe23gF147xyuv2iXww1hZraHv11Vft+3wMomJk5R5Z/PJ8ii04kQ6UxcMPP9wTpZF7Jgyde8GQnsuAChgLMY4tXLjQprEoBkJMOb/X4O1CgSyvYBMFj24vePfdd4tu25lgA86z3O95FJdrjqjiGFaQY2VFRYdnythBbuMgYGzBKzmoc+PxF6TBjXt/+eWXQ2E4Y4ziWnLNU2yokUIE4zdRB2HBy7mws2McfY5ooVxFLvk964ugDeoC4eSpBdH9hHWEl+mk8rn/oAy45eXlHTYympsaszqBhBU1ovpNWasnQ9cu8TS+RXJiSRpRO+GJWhlPT1SvJ+tejuJSVSXihRG2BVAcUJnmX1wKWOzmqhbdGfC09KrIEYvMJUuWeFKkicUcYUVeVbnH2MZC2WtPJNYUgwYNKkpRJXcjoeyFLuopHoKiSUi6F8oyRloUcbdyGnJ9hGjyE+8sNhc6A2FwxYbCkRIAmXsJfYf79VJZI/enV5XA8R70yhuMQmmEl3oBBUPYXMpGa/RAaax//AJFHIXcCZ7yQVWqx2BHepSgNnq59yBhYwpDbhgMZxiuDjjgALtezDZPselE/uuw4fZc6BbkSs81jxKlRFqLMLQD5kQvi0TmgrY3f/58TwuPZoM2RDqmoMbDp556yqYXisNcqEZUn2lsarRKW3kIBpK4UPTEIoWlGjrjiRpsdcGoTtZ9uvUqOU/UsC6AoozKNP/iUsDOs1ch/XhvYEjzqpCBVwnw8U4hHNlL3nrrLU9kI6CY8OxfeeWVggs+YWBjQY1HXGcNikBYHF69EuLPcd2A0FyM/8UWZ0E+HEMUGDynUao7642BJwXGYxQyvJYKAQVizpw59r3XhR28Vlq5d6887XheeDt5lY+QnGxepAqQwhm5vB+jWEgjihuKPA+84NC9/IY2cOCBBwZmIOCen3322cCMuNx33759A60Enno9zJFEMKVeD9EFrGPYXMsnKsFv3JoL3YZNLgzTs2fPtiHyqe1PDHZhkSlzbhAFlQT0FZvWMaCib9x7UJtKVVVVZvz48e30kKgWlQI1ovpMY1OTHWTKcUlVwjGxFBrOj8EmmRM1nh7FXk/Wvbo5PVFLw4ga1gVQlFGZrs8FJ8WlsoHnnFdhjSgnXhWSYCE+b948T46N8U/ypXkFhjqvwwJ5/ng1FqqoYKRyI6yL84tiIhWRAaU01eug0EX3IYcc0mlvc1GUMVouWLDAtlGKILmVvxMFslCFRFIgeF14hXERL3Evi9ogR6/GFIzdKOZesGLFCrux4YWRmWMSyp/NcNaqOEYzhDHMSH5wp4GM54FHc1BGC/IfstkSBIzFeF8G6eXFOMRGYi7PbL9gzkvnHYvXblA5Mv2YC71mk002sREtTuhzYapZwFqE5xxEoTenTFhzBtUnGROCKmhVV1fXYRyOcm5wNaL6TKIsYUO4NJw/RBOLeKK2hfMzwBDmxSttMvZmhwt+jMP5vZyse3frub7ac0X0Bs44LoCiiMrUkQuustI0NmY3ohLKP3HiRE88QrwMu7Wets3NnnkcU2TAK2MNYGTDqOi1Eimhm3gH5vI8IoUBOT0xgLmtUGCsR5niGvBAon2ivOChWmjb45nj1VrIs5d7/+qrr8y0adOSIYcSOu+mQodHKh68GOTy8UjlXpA5IfBeKpaEzb3wwgueet/xTAh7zadQS2dARqSL8AI8kQv12s6Xd955x+ZCzkZLS3NkFccwIzlmU8c/xiSvojBywbUwFgXlicl4Q/7nIJ/JuHHjQpNflM0r1iorV660xl0215gPmbPC4i3p1lzoJxigiRpg45Txj5zfrM2xeYTBiIrcJkyYYNd7QcEYMH36dM9qCOSC87744ouBtaG5c+d2SKHT1NhoN7/C0EYKRY2oAXiiokipJ2qIJpbq9p6oTLBbb721faX1FJFQ/hgXlvJ6spacqNWVVZEcOOO4AIoiKtP1VFVVm6bG7B5/LHC99LpkcejFApWFOJ4jXnnuoVwjGy+VXIrjeGmoFRhP6Q+5vLPzqURfLBiIhg8fbp8fRlRSJ3B9KPQYVEFC7DPBvSC3bH2cvyclA9/hHM8991wyFJw8bICXrJeeaGy45irIhQxQIvzIhYbMR48e7VlVbmQ+adIkz0L5kRHy8srLFQ9dcgl7Afmhc+WixMhdWULrH183FKuqrGLuBIM5leqDAE+8PfbYI7BnTV/CWBhkAU7u3Y0CiG4iObG9TBniJvnMhWGA9s6aik37MKRwEFg/jh07NlBDOfIg8ieo9sZ5R4wY4XkUTCZYD+JwkToXRtURRo2oPjNi211Nf9PddK2KpwdjJCeWFE/UnEgof1m5MeXx9CLwerLeuPcGNi/qgA2KK8wRJaKyAIoSKtP1oDiyGMm2aMWIRH4yr9IfEMLqldHDy2T4GNgwfHi54Mdow+LVr4rMKDHp8rB+/vnnVpFFkSD8zi/wQiIHpbRDaSd4w+K5B1yXFPki3JoNZwyxGCCkojJeDOLR++abbyaN9oR+EzaLYozXE+dABn4pTHhj4u2G4si1pLYlrp/rGTNmjOf52DAk4/nmpecXRhHac2r4pltw/e+++64nx6bN0O68gLkIuedSkqOsOIYd5JpagR3DDuNPUEYdNo7wzCvVkH5g3PNqfdAZ8JZkfsCIumjRotCvI3l+zG1BP8dssPHFi3Bx1hdeFe4rFCIyMOIHmQvVGb0RlBGTZ+PVnJ0L1m2s61I3kxobGyI7F6oR1Wf22mGoufCbZ5qejpyQSsATS0pOVAaZH//4x/aVNpdb47r1fxdTLwKvJ2s8UL8/7kRz1LADTKkQhQVQ1FCZrgcZSPGcbKDIeWWMZNHsVcgkiqCXeaxYZD///POeeeuwaGYBTW5OP3L4YkibNWtWh3NhXAwqN6DAIl6qHxNiv/POOydlJMoFBlUMD7JRIuGoLMLFk5M0CSy+WZRjnMRwxXuvvC/zgetPHY+4B7zg0ikQXhkJxRjtFWxqYCz0Shlk02HPPfc0XuHVnEG7pYhRNhin1YjqbVQGRXydBlOeN+NOUPnTGXODfN7Ma2zuBGkoZP7GQ7uYHNluInmp+YlxLexe4Tw7jJJhNvZiKCMqhL4XhrWGc33HBmeQMOYTJcNmb1BjAKH8QZ1/xYoVHTzRJU1XVHODlyXC5GsdcnjQy5ctNX379e/0wpFj4AnCLk1QOxFxo2iZrv7CmBu2bzWI/nKFqVuzJunBQf6QDvm+vpxvzB17GtOtnzE/XWTiiLZT91GZhlOmbozrYWHVyhWmqrpLViMSCznJoepVHka8XrzyOGHR5dXCHOOTl56LLLcI5yY/px8eOZyPZ41iw71xTq/y1nq58Cev6ahRoyK1WYKhl2IyVH+nvaLE+WHclWfuJfRzQvn3228/T9qxtNegil8UA/MJRqJsHk8UAFyxfLnp13+D0Btuogh9gDm9Z6/e7QyX4q2+++67m1KDdsmmGnmGg/QGpV+zyXDQQQcFtt4iZydjS+p4zNqCDeZBgwaFMrw/zHMhm5xcX7oii+SexYDJxlgQ+DEn5otf64BM8IzC1Hbq160za9etNX369DVRJNoaY0QnMjyBwryTVHIyFU9U9hMkVD8bkhM1pvlQQdup+6hM3UdlWnheVAl19MIbRPIweuWNSv7bl19+2XgFIZ942Hm1t8xCfpdddrHy8SMvJufDIxWZ8dOPc7oNC36MdWFa+OerrGAMxNiIAumH4sQ4OHXqVKu0egn9/MADD/TMGENb9SrXKka0V155xZM5g3GDa88lF82HGkxeVArcSI7koIx3CxcuDOTcGCzJhx50OD2blEQNBGVApY9iyEpN9wBcE+mOkFEY/cvCPBcyrmbycGStGZT3I7zxxhuBpxWgPbF+DTKdAIbuoNp1c3OzzYOfOu9GPSJDjag+E+ZBsGRlKkbUfPOiiqG1Mjy5fdxG26n7qEzdR2VaeF5UwNuCnINeGSK9qgiOF6WXIb7IjfycXod9kYtN8oB6Dfey1157WQNC1LxQgUU38oraRokUccPrzS/lBSMAqRHog15B3543b57xEkJ+2WzwAryCMxYNLRI2KaZMmZIzZNwqjtXRVRyjQOtmYUOHz3hG6QxofkARo3Seen7BGMQGQtBhzRiSJF2Ln5ATk77J2JIu4gTjO7nRGSOYn8NUBCuMcyHtifREeBeTD5yc+JnGc6JvMKR+9tlnvl/nDjvskLPQn9ewuUYUUlBGTM7LvC355P2moaHBbu7GKR8qqBG1xAfBOFC0TCuqWl+OvKhZaSwNT1Rtp+6iMnUflWnn8qKOHDnSLnq9ynuE56MXi0XuDy9OKi1HuXor+UApluQHFJdCecFwMHHiRM8M3KWcBy4VDDV4oPITYyoeKF7nYqTf0S822GADT728JJ2GV16U5HL10luPa/dq7MM4NH78+KybepoP1c+8qE0d5iGK0fltvBMoYMQGR1BjGX0WY1bQxXVkHPEzPy0yZxzO1yMSgyBjKe0nLBEcYZoLuQbaE+nu8k2vRHo8rzbv08Fah3Rf9DuvoqPyBTkF6YHNsyJKLKiiUjU1NWbYsGHt1g1Rz4cKakQt4UEwLrgi06puBXiiSmGp4BciXqHt1H1Upu6jMm0PC5R0HjjpvodHgBceOSzSyInqlZEFLxq8RLwMuSeXJV4rXoHSgaEFLw6vQq9RVni+eN1IAab999/fLmbxighjuGI6kFMYc8BlgrGIcNDBgwdbxQ154z3NM0eh80ruGFG9Ng6h9JAvHs8er0BeXnnSSmEPr4wiPN9chqGW5maTiLjiGAWsob8trYaTffbZxxZADIqZM2faSvBBIZ6wXhVQzBeMlBSa8iPMm37JvD58+PBkvYtcENaPsZkiSa+99loo5suwzIV4nrIhy1yHV3+HuiEZwChNdAZtD7l6jd9G22zyWrBgQaDpW9CTuI6gePfdd+260wnpVioqKyNdiyK6Vx5RwjIIxglXZCoh/fl4opZATlRtp+6jMnUflWlHqqqrTWOOfKdiKExd1LgBx8aQ4FV1cIy07Oh7uSBFefIjhyUKnRdFslD4UNQxrDmRXG/kCPNDiXEzl1ZQVbUL9folJykyJnzQ2UYJZyN/sxe5iJENyixeZl5CGhDyOnoFSjleQ14ZuZgnMKJ5kReSa6ed5jJO8fzxktR8qD5sKGaYCwnTDmo8Id1GprBnv3j99dcDCatOxY/oCM7BuNvZczAW7b333rY9sbEapFdq0HMhRknkyCYXXoWdNX6xEf7RRx95aphGRszBQ4YMMWEg6MgDnp0Xa4984Dkz56bKgOuprgrWQ7hY1IhaYoNgHHFFpoUYUUsgnF/bqfuoTN1HZdqR6uouVnHI5Z1LSD8GCy9A0fBykcz9sbPv1fFZfPPyetGJMo0Xh5seAlIYC6+bdHnAUAZRCvFIwojuhSHd9Urby5eHwhMoE4w/tElyzg4dOjStgQwlQgx4buZIpe1MmDDBlzGQojxehcIDOdvIG+cVKO9eebliUNh3331zbr5YxTHg0NJSATk3NNSnNaIGldaE9B60gSCNcSNGjDBbbbWVCRqMKkSteLVhyTjLORh3kXsx7YjxGq9Gnh3vg4h+CnouxBjN5ivzWzFh4Xj5sv4ELwoIMhe/+OKLoVjb0E5ID0Wu3SDZcccdrSdwEJSVldnzO42orWltGkx1l2jPhWpELbFBMI64ItNkOP9aO6HPnj3bvtJO7iVQWErbqfuoTN1HZdoRPBt55QrVx2MKg4UXygCGCvHe8ALuDyXYS8MRBhc/jFMk+p8+fbor56EfMG/hgZpN9ixm+T0hXhi7wwzegyj9YfY2nz9/vnnvvfesIS1bPl1kTr9LF9pWTF+jcJgXHs3OdoXhiXN4Wd2bNAHbbLONJ8dmPKSojlfGK/pRroI9jLVNTRSVirbiGBXw+E3NvUkfpL/kG9btBfR/8nMGBeM/aWS8ihYp1ECJsZNNUTchTQBpfzB6urEO4Rh4XzLeIrdXX33VlMJcyJhGjnvGLrw6iXhwA+TJsekLbq+xaN9EqBVjOHcL1thut+1CIW1UkGkNZs6c2eH8Vj8pKzMVFeFd1+VDWUK1z7xhEFm+bKnp269/pHM4KGn4wzhjPnnDmO88YsxOh2b/7mv3GPPkpcbscowx33rIrytUFMUD4jiu19XV2vvq2TOzQYepf9asWWannXbyxDOK8CGMdOxARxUUMT+KcGBYk6JgnVX4UEjEMFDIMaQQGUaggQMHhq4PcG0UGtp+++09NRR2BgwheHdwjcgt3+uT5yzPrDPPnGOgoOHh4nXqCQwRhACT29WrsESMOii9XoY9MiZ61b4xpG+22WZZjej169bZzZ8+fft6cg1KR1auXGGjM5x9hPZMBMugQYMCSavgZTvMFwyBjD+Mq0HDWgFDqltpDsTjvJj5NNfzY/OTczBv4pWJd2Wc5kLWbkRWsGnGPEfkiheydM6FbkQJcN2s2fr372/CAJt2PLcgDbqk7iDqLN/ctV6kOerRo0e7tXRdba1JmITp0cObyBC/CNdquQSgM7HY0vDTkMm0oMJS9bEvLKXt1H1Upu6jMs0S0t8WdpYJFq54FngVWsoin/N7tU+LIkP+SZQZr2DR51XuWCcYUFFU8G7pjLxo/3izoowWqujwfYwK3CPvw7ivHlToba72h4cJMsfwV4hSi5z5ewyTqXlr84XnJF7nXsMYQUislwZOjFoUgPGKjz/+2NN5gs2obAZU0FB+/0HejSkh/Yy3bFwFtW7AgEpYtBehzIXk+sQYF4bxHgMLBlTG0mLnWo5BISierVcGcp6fGPykSj1yZA73Wp5ezoXITOSPUZv33CttxStZclzuibWPG4VOGWPDog/QxxlrgjSg0j7Z3AvKgNrc3Gw3mp0GVPoIaVbiMBeqETUAwqgQmFKXaXXbLnXDWjsIX3311faVNiee5E2NcU5U0HbqPipT91GZdkTCvQgdzaVwYMjxYuGP5w+GBS8VGbxcvQwvlpyTfrQxPCcoOlKovLg2DGn7779/pz05WORTNZdzU3QqDEVHBO6NPKNh8ULFqwIPUNrf6NGjcxrOMsHfUyANDyaeYSF9kGtAOfLKizzVs4dwQK8hVHbLLbf05NgYzLw00JLKIVefiUsOuDjkCKfvsYEYZIoQNv/8qEyfDfQbCjsFmZ/VCcUQi+mnjKMYZMeNG+fbfEH0Bp6oyJBxkrGG9ubFs/VqLhQ9F/njlAD0D7+8OVkrkhuXTbrOrrX4O4y+pIPZaKONTNBgPGSTNei+NWXKlEBD+d9++22bSzdVNozHpFuJOmpELXGFIA64ItNKKSy1xk6A11xzjX2l3RlrWhf7nKjaTt1HZeo+KtP0YAxDecxVGInFKwtOr7wnMECSh9Cr43PtLMbc8GDIxC677GKVCa89TGjDKGMsePPNU8rznTx5ctKQ6lZeSjwHbJqL5ctN0LDgJs9r0N4lKMW0AQzOYjgtdoNAvLVnzJiRd45Evo9S4tezwchLKKeXYITEqOTVhgvGMvJgeuVJS7/NlWOTMaosBjng4pIjnLmJXH1BQRoOPMSChA0YisWFxSOMuRajJM+q0PkWr95p06YlPfT9Bk+7sWPH2jGGsVzaFoY9twpUujkXysYd/eCll16y8z0GSNbTQSB9VNYzndnsSzXWBQn3s99++wWel5UUPKRlCIohQ4aYLbbYot1n4oUaRCoVt1EjaokqBHHCFZlWiRE1j8E7WVgqvp6o2k7dR2XqPirTzFC8JNfinYWeW3nI0kEI0XbbbWe85M033/TUywxQikRB8xoMPvl4SKFwsBDF68bNnJjkzuK4GOnoW16mZIgK3D+bASjqKEWpSkExoEhQhA1DZS7jgRiCUIw23HBD4zXcL23Ly6q+raF9DZ55BeIZhne1VxstXD+bObk8kgkpr4qJ4hjNubDe1w3EfFNMfPjhhyZIGEfYwAhDRI/0DforRrF8oW9jKNp3330D7V9y7s0339yO6eLdKcY9NkiDlDN5p/GMxGCKBzKRSESvsIbAO5tXkPLDAC3rmXzHa8npzjpz8ODBJgyQCoGiZkHDGg7jflBOJmvWrLHPJzVajFRjVdXxcEJTI6qiQHUhOVHj74mqKEq0wRDW0txsjQjZwBPhxRdfbBfu6BYs3jAOeRnSNHz4cLPVVlsZL8ETlQW6HwoGnn+ENVNoASUnHShieI+IIdWreyZcnXsmJAuFPwhoQ8g+CEWAEG1C8pABXiVehTfKM8R76ZNPPsn4PSoZY3Txox2imPLcM7VBNxADPc/Xq7QcHJ8+5ZWRlk2cXJ7jYigOi8dfqZEuRzgGG8bZII2oGLDwYg4aihXl6wnvB7vvvrs1ROZbIEtyiYepf0nhMFL0kHYFMAwzrwMblJLPPV+DYSFzoaznyOkuz5ZQfXJwc20HH3ywbX/MJV6nRCoEniFzD0Ze1qa5QKakpIKwbFCx0ep19EY+z5+5ycv5OxdsIJDr3Elzm04Spr5aDGWJUncxKPEqzkobz/zUmFfuNGbfi0zd6MuToVkMQB0SMj92gTEzHzLmoKuMGfOjYK5XURRXiPO4vnrVKrvg7pYlqTxLABb2nc3tmAsMfhMmTDCHHHKIZ4YMFtvkiSRE0ktQ2JgP3Kgim4t58+ZZ5Sb1nqSyM3L1uiq7gLLHOfFqYFFM2J9f+QRZdGM8JCzMD0Mq56MgxKabbmr7BRsAfnh9As9UFFoUQlEKpYIxhjg/iknJ+byqbi2g3NPOMVB7VfmZl5fjuuQ+dBbOSIVcqIzFzDFhUfRLCdrAiuXLTPfuPUy1w2CEp/Vbb71lvd+CfC4YFYLMz+p1P+/sNWEcy1awTYo60Qf9mgvdujfmUTZ/Gcuffvppa9TkPXlVmeuYh/BopKgT75mHmBvY2CIXPDoq8wUvvHDxcmWe3nrrra2xlO+T55xNOQxWYcgTWgiyvpH1Tib4Pd8NqnBSKlwLc0EY+lMY+nUi5RrWriFlYoPp1Tv4zSM3iJfGGAEYDJm0Nfw0ZDJNhvOrJypoO3Uflan7qEyzw6K7vr41l2MmWOBgFBQPCbdhIYyC4KWSKAYmP8LhxHvEa1AeMaCiDIknL8ZiPDRQHPxUGlFQJMSOa0CpQXH1Ky+nH/eK8iMFaAi/pD2hvPtlQJX7RLaEAjrDfPFa4t8ow34YkvG+RQZeK2DIdo899vDsPHhd0V+88hUhXBGPxmwGVKhfV2+Nd0ErtKVKq7dd1w4REaQuIVdukM8FI9f06dNNkHD/zG2zZs0yYYFrwhs109iPhyVh/3wvSgZU4Jq33357uz5jXTR+/Hj7nnGKsUTmV0kDwDiGty3wHe5bPpcIEf5G5gY2OfGABVLPRM2ACjxT7pXCSBiTU2G9SuQGsgyLARWYu2mbQcIahs3JIPWipUuX2k2q1LEVfYSxOC5ohvMAiNqAXxIyrWoL52/II19NoxhR4zMQpEPbqfuoTN1HZZo9F1yiNmE9XbIVVWFB+tprr5mDDjrIE4WSxT0LS5QiL7zCMAJjdMzltVAseID45TkkzwGPFe6J++M+R4wYEZjHNEY8qqiLAkcoHf/GsMzvvCjcQ9uRcEi3kTBrFFhC31A+KfZCbr0goZ0hSzH+4V3kVVGkdOQbSlusksXY7aVXN6HS5I/1ykiGsZnrz5b3ubWN1ZuevXp7cg1KfmDEXrliebs5grGFNsj850d0QTrwNAw69Bcw3uHdGAbvNec4xPXQzxgDxUufzxinSdMRByS0mZ8y19Ee99lnH/ueNDJUr5f0RQLRErzkO5JuJkzh+cVAO2STDVmktkvaK5twYWmrAuuzoK+JzWBeQRbcXb16tZWDs6gV62YMu3EJ5Qf1RPUZUQi0mnTIZJr0RK0rwBM1vkZUbafuozJ1H5VpdljEoDyy+5sNFqkHHnigZ4s/jovBzcuiCijHpA3IJ49WMWB0I4esl3lenQwaNMgqCy+//HLSOzIMoPyLQRWPGfJfiXHMzSI+LLwJ68yV2zdfWMSL1zVV4fHYAAqBBF0t25lTDaPp1KlTrdcR/TOXt6NbsiEPLMYUr41KpMbAU8Ur6J8Y9728D3I35kohQp9l/AsyXFtpLdhXUVHZIWIBb3r6WFCZ7bgu2kfQOUkxvLGJhAdkmCJ7eC6M/ZLjE498PPNZ80natVLB7bkwCsh6B29t0uwwpmNUp994nQu/0PmGdklfDjotGH2ZlBBBGnO33nrrDkVr0UPIT10Wo7Rp8bmTiFCKg2AkZCoG0aZ6q6zMmDHDvtIqLk31sQ/n13bqPipT91GZ5obQmYb6+pwh/Ri+vApD4viETXoZdsXCFa8zr40/7KKTw9Evbw/ui9187ksMfmGDBbt442GYxEhJe6PgTrEGVdoOHkfFKASMD59//rl9T+5cqZyLAYxrh6AVn3Rg1PA6z68TFNTFixf7YlDaZZddbKipV2DMnzt3rmfHJwch7TxXu2loC18M2jtJMaZL144bioytY8eODfT5YLjEMBSGEiV45GOsCgv0L8YKPIZZn7ChiIGmFHFjLowi3C/RGeJpG8b7x8jPxmfQ18bG5LRp0wIdSxYvXtxBl7ARGeT17Rovu0n4Vo0xp1QHwdDLVAyiTfV2hxOXfF5pPdzEE1W8V2OItlP3UZm6j8o0f08XqhPnWgTihSYeH16AUcNLjxu8FigGSH43rz0F8WDyumI9skKpRZHE2IcyKSHoYUP6IB6dGCbwZuL6+RwPZDxJxKuoEI9k5mAMtPl6m0teU17kTENWvKcCNddEfjgJk0TpCZvxFBlh5EUZono4iiPtzEuDICAj+g+bHV7KhOfzyiuveN6G8SpmDecVPJ9ceaSRqaSLUIKnS3UX09TY2M7TkvEJLzIiJYICj0pSiIRhHTNy5MjQeOQ7YXOOiAfGx6BSLwRNoXNhnGDzmvUpbYD+Eoa+4syNjcMVht6gr4u+scMOOwR6HTU1NR0c0JqaGm3fraqKTyg/hGv1WAKU8iAYaplWtHXspjwW9iXgiart1H1Upu6jMu18UY10Cx8UKC8NKBjXMEB6HSaMl5jXsCD0OuyRnI7ircdzwehHIRIMq1Ew3tOe+Mm1k7uNtojxify74hWKcgykYZACEhhaxbscIxRGN/lMZM5xpMgXx5AiV5MmTbK/45zIj+ck3sOME86q92GEa8Nw6uwnG2ywQTL3nRcgI9JFpCvg4TY8F8L8vMzxiieMGPC9AoU5V+5YcqFWEEauofyhoLyiwrY7PKJSDfvMG0F6b8mmD16pQcJ4zSYXKQ7CFNZP+hjyY7LRQ9/2K51OmGD+w8uwFCOvJD1L2HLhMmYQtcpaJgzGXFkvBCmPDTfcsENBzrgWV1Qjqs+U8iAYapmKQbS53iptN910k32l9ZZoXBv7nKjaTt1HZeo+KtP8YPGCQp/Ly5SFKukRvPJGRREipN/NnJmpUPU2W6EXNw3ChFqjcLrtVYdCP3/+fGv8S62si1GVXIyA120UwBNP8pdxP2PGjLHvMWiIsRAjqhi/MYrOmTPHvieFAYY3qVpPoS3Ac0w8jjm+bKQQmitKxMCBAyPjBUifoAIz7Yln7PTkoM+gOGI88MIjFcUGT2evlVP6CYYZ7s9LZcrrvHS0yXwMzoynUWl/pUK13VBc18F7i/zOQSr4krYlDEYG2iwbOWG4FuYCPBAxnkp+TP7tdbRJGKGNeFWcM6ywLmDeo2+QH565nQ1/1gFsKAcNfWT06NGBGi4F0ifJ+igoZs2aZb2F0xVXxJkjbsSmJ1533XVm1KhRdkGO90E6xAPB+Xr44Yd9vc5SHAQjIdPK9Z6oKDOXXXaZfaVV9sUTtSq+i2Ntp+6jMnUflWkBRTUqKzt44KSC0Y7Fqpch/Syw3n33XeMleCwQPu7lfQgYO91ezBOulm0dg4ENrwM8NL00SHuF9NfevXsnPW35KZWJUZZ23XVX+54UBoRl8zcYjzGSA7+XsFM8G0XB9rOKvVugZNBHCd/PZnQTY6qbUKgFLxram9fjKP0EJctrWSJHL5Va+meuQl8Yiwkdj6PiGGW6VFe3Ppum9uMm4ymeoEF6o5ID2XrKBpyuhXGAa2FzOlfKCq9hXEotIMU8wGYcEQcSgVAKiBd/Ka13aX/pDOasHYJO64AxH6OlpMwKmp133tlGSATJ9ttv3yFqBgNqWVl5LIsrxqYnMumccMIJ5txzz836vfvvv98WGJDXMcccY/ykFAfBSMi0Yr0nak4kJ2qMPVG1nbqPytR9VKb5g9K/bt3anAWm8N7zUp48L/Gk9Ao8FfzK67bbbrtZhdMNgy1rEkKRURrx2s0GG8YHHHCAVbrxigtT6KXbnoTibY63adz6Os+OUHoxJGe7P4yoKCh45+AN6YbBB8XGL+UGz20v+z7ymDBhglmxYoVn56CfY6TNVSSPsZZNqbi116hDZWgM26lh82xeSPqPIGFTjiJTYYC5aNGiRYF5oGIkxVgqG2SpMA6WkhGVOXDKlCklEXmFcZLni5OEbJw6IVwcQyqGTK8KouaCOSBT2/QTxiw2JxnTgpxv6urq7JyXmrKL60L/CIOh2W1iM7tfc8015uKLL056L2SCSRLlRF65dpPdppQGwUjJ1FFYKn8janwLS2k7dR+VqfuoTPMHxREDQC5Z8Z0XX3zRLmC9AKMfBj8vC3mwkMTQIXm0vIRzsTgkz6dUgC9GNoV4UmL8YgGN4h3X8Ebk67VhPwikL+JZOnjw4IIUDIzJKCvFKCV4+JAOgjQLmbye3bxX8viSqsDL/NXIY/jw4Va5DtJIy/fqreIY3zVilOla09U+H+fGF+2ScSZoMBjhfR8GkAdjUxAwvuXa3Nl6662TKXUwPAdtAPeauM6FmcbyfJ5noWsmN+C6MPAzz6SmWwoCxjFkQJ8Jkjlz5nSIymomlz0RGT7b2vwi/j0xhfPPP9+G+ey5557mvvvuy9pJUcBQJOUlYQ0y8aIIiveH872z+AHv5fuivDIISvVYZzVZeS/XJO95pb4H53v+3vlezpXpfWs4S1PW+8j3ntK99/OeeCFTqfzbqXsybQv7poZ2Roa099RmaE20pQCI43PiGCxObFXvmNxT0M+J4+OxxgIoLvcU9HOShTQyLeaeSgH6MrlR69dlr4yOLKmw7mWoFHLHe8DrcHtClfFU8AOUzY033rhTf4vxlZDqzhQQ4rmSyog0DHEMb4xryg7xOOO+Cg3RxwOGNQ8eHgsXLuyU8eCLL77wrSI514fHjpf5QRlTyKmLYuuVxwvHpVhaLiNtMnwxgqklSoHKyqq06W1YVzz33HOBFnfCGMIaJTWvYBBIPyJXs1/zCvdNagXWdfl6+ZXKOi6uc6Gz/5GTn8hi5rd8NsPwSMUhjvbpV45UjPZsCoYhlZKsoUmFFHSB3REjRljnBSeMpegdcW2z8byrDPzyl780//jHP8wLL7xgjjvuOHPeeeeZ3/3udxm//+tf/9p2YnlJ7q7Zs2fbn4RT8QJyvLGYhbfeessm+AWqtomrOSFpLFwZBAnfkmpuzp3t559/Pmmsffrpp20DZELlPT/5N++B7/F94O85DnBcvLNEOeO8wHVwPcD1cZ3AdUuOus7ck3jfcM4g7okqksj0448/7vQ9zZ6/MBnOL5WDocNzYiHRVliqdl1TbJ/Ts88+axPLM0DH5Z6Cfk6MG3jFMZnE5Z6Cfk4S1opMi7mnUgHPKDYHcxkvMaAiW68WiYTb77XXXp4vrMgRhWePHx4qovC9/fbbySqp+YLSUIysRdnFG9XLUOYgoP8zVsTF2xxDH+2R4mc77LBDUcfCeFBolWrZTHPj/PnAnMc5OZ+X/Z3xihBgL/s6mxSk2shlpF23Nr7hi3FOb4MBkyIxYSgGxjgeBuOgpPjxI/+k9eCury94rKdPkgsSeaEPYuSKI3GbC9PlBWcjuTPGQGTiRy5hrtOZSilocBIg/3/QfPzxxx3SCbT259a5MK6UJULs/37FFVeYG264Iet3UKClGAE88MAD5qKLLspLkbjyyittjtRM+TQYzJ0LVOvp2Nhgevfpazu7THB0eOd7OjMTj7yXyrLihYVhDs8RyZfEglZyffFekhTLe+Bvne/pvOJ5yXuOyzXIe158P9N7viuDVqb7yPee0r33854YODGY7LPPPvacnbqnz+eayt/vZUzXPmblhbOS4W20IxYPyXtKNJnyX7Z6GyV+ttiU1fSJ5XNiEYJM99tvP3vsONxT0M+JsYS+L5Wp43BPQT8n+v7UqVOtTMUbtdB74pzLly01ffv1j+1uqZOVK1bYuacmJW9RKnif4I3eWe/KfEDhIZzYy5AonjMFmPbYY48OBSrchraFoZ4N13xCq/73v//Za3L7usRTAq+5qCfzp++Kl27U+yf3wnhFW3TTKCGe3eQbzmW4I8ch1Y6JxvIDNqrYNEmX186L/ueV4ZL5m2fHmihb32ZuWrliecnMJ1GFtsK837NXL1NV1f554tXGpljQnl2inofBGF/IGNNZIwx5zIsxTDG+Mr7hxQpx639xmgtT84KzAcbGerFti7UP/deLnPj0R9bFbD56Wbiw0GvCeMkcG+Q1vPPOO3aOd+YKZ5Nq3dq11mYWhjGs5Iyo7NjTubKBkudc0BRiRH3qqafMEUccYRtgPjuPDGDFKttxHQSDxBWZLltkzG+HGFNVY+ou/TCp1JIzrF0BgXUrjflVm7v61V+tz6UaM7Sduo/KNJwydWNcjxIYA9bU1Zo+fftlXdh4aZAQeHYoq17ncsJo5Ge/Q3aEShMhkU2GbAITyp2riFRnFF6iXlAkUCpY35RC2w4rtHPWsnhLedGv8HyeO3euGTp0aE7DD+dn88kvbztJx+Jl+yMtAkZpr4vJ5fPsatsiKnoEXDlayU1dXa1paW42PXv1bveMJ0+ebAugeZ0rOBdE0LAh51eRxFzrBgwljDFue+CxBiNCCOOUW5tLHI8IUmwESjhh3pK1HzYbNwyTzLVsTnuVy5d5nHEh6A0W4D5ZP6cWcgoDiUTCbiZ2ramJdW7wUK+qyXWBl2m2VzHKF2F3KDB+hm6wkMTrRhWakMm0qs3dvKneup5PnDjRvjq4oUvhKRbSFcEmcfYSbafuozJ1H5Vp4cic2Zgj9AljAWkRvMwzJaFbXhWxEmgjeIhhWPQDvKnxrMkUXoZRl98NGjTIdQMqIFNRvEn2z7VEFclTGIb8Y4UiOZ1ZR4iniBcbEyhRFFRiHCS8L51vBMqlhP35seYltYScz+vxmXzAXnqZk0IGQ22uZ4cxyIYvBugVpOQPyj3jsDNsnmdMZEvQBlTAqBiGwjUyZuC9TmQDziVuITnLhw0b5qp3PvYBNjEZC3HIigNRngvTgVGeNZmE8bsBx8GA6vZ6Dw9nDKikuQuDARVo114XTs1FY2OjjbBMXes2NbXWvKCgbZyJjea5ePFiaxTlJxMi73nJYP/EE0+YP//5zzYv4fvvv2/uvvtuc/3115sLL7zQ1+uM2yAYBlyRqRhEEy2mwiTM2LFj7avDYNnYlnC+smurITWmaDt1H5Wp+6hMCwclkUqZhNrkgvHP6wUju+mSY9dLMIQQjuhH8A2GalL2oHimK8jBdfiVuxTPIUIwWeR2tghRkND+KFgQFsUlX5AzaSRQdDDwkbbCD28x0kmkGw/xyqKwoV9hdRh2uWevz4c3Ew4X+Rah6eyzzMf7jorvFC2KegqNUoExpaq6ukOxRdosuiSbXUGCIdemHQhRsUCuBQ9ZN+YRDF2MV14U8mLTivmXeZ/1hddFLP0gqnOhEyJj2JCi/WCUx9DtBWzMY/h0a73jR2RWoey666527guS8vJyu65InR8J40fPCJvMSiqcvxBOP/108+CDD3b4HG9CjGEUyvnJT35iDaiS1P/cc881Z555Zt675G6F86M8MTmq95Q7uCLThjpjftlWFfnKz42pdoTwO/nqPWNuH25zp5qfLzZxRdup+6hMwynTUgvnd95z79598qogzfe9ko3fed/8PB/GLEJDydeNUkdhmqD6P8okHql4aWBsY9FbKu3dTxiPeJGXD4UxqAJDeJ7iNUObw6Pcq/DGdGA4xjvUa2WfdkyhFYp8eJUSJN+xr9XYtcz06N7DViNWokFjY4NZvWqVTW/jfM5EYGCEC9pIgacm/RdPzbAgueqLMSxJGiY/kOucP3++fZ6Mi4q/yLqLNRFG1F122cWX9QfnZQ7s7DPHEY/rDFPIPOsKNjJYVwa5Ydfc3GzHgtTIluamJrNixXI7pkbZ4J8PsVlBkwtVci85XxhQYfz48TZHCooEnQIv1bPPPtt3JYLzsbhU5SVkMq1YPwg0rq01v//97+2rg0dHc5vLemV8Q/lB26n7qEzdR2XaOZAXoYxr1+auIk8IE4ZAr/ZbUW4kJ5of1VU5Dx4KfoChcty4cdaAStgVeSv98kBNhVBJMaQR4v/BBx+YKMAcTP76sHubO8Pq5Fp57kEYUDn/rFmzrLKF8udnaDJ9GSXZjzBDlLeDDjrI05zK9BWKnuSCMP7ysjLr2ahEBzyHbeHPFG9IcpFicAvaz2jTTTe1hejCBIYbjLsYcjq7+cH45Czc7CUyBjMWsqnFM2VsjBpRmQvTQRQwaw7Gajwo/VqzY/Ph3J31RKad45UeJpj3SFcRdMTDl19+mUzZ40Ty8MfdgAqqefpMlAfBWMu0otKYstbu0LC2zlxwwQX21UGpFyNqjPOhgrZT91GZuo/KtPOQt8/mg2tqyvo98oaTb9FLYxCLLYx8fiis5Jnbcsu24oA+gLJACCR5o3bbbTdr9A8aiqYQgoUXAYtgv5TZzoCisO+++wauMOTyyKByOxv0GCz9qESfy3g/ZMgQmyqDsdGrkMlUpIAUHjJehteLJxvegl63i3zGC2uUWbPG1NR0i334YtzgedV062Y3FFPnHwwo6YwEfiLtievwOnd4Z2qWFAr3gIEFByc/65EA6UUoFMx8TKqVoA3kcZwLU41pH374oX1PZAZphfyGeWi//faz81Ih/Ye2wfqI8Z+CkGGBtsucvvHGGwd9KYYNnr333rvDWogNRebCUkCNqD4TtUGwpGRa2aV98ah0NLcZayrcrU4ZNrSduo/K1H1UpsUZLkn6nssblcUnOR0J0fVS6SDFDsYfrw163Av3hLcci2SvYVH55ptv2lxmGIrDYLDk/ukzKOgsxvEOwXMwKC/ZbHCNKEJhNE7hWcOLvnTggQd6WtyoM88Ymb3++uu2yJMfkHswnwJMboBnkdd5DgkDpZ9IUbBMNDS09mkN448mVVXVtr+keqMSbo7XXNDQnzDk52qHfsJcTZ5lNmry9dRjjsEYzLwb5HjORiZGXK6B8crL4pmlMhc6YY0jYzOGS9aNrH3yySvtBciL3Nm0vXwdLkh9xLpN/j4skE+fPhc06APLli1LmwuV9WRFiehkakT1magMgiUpUwnpb8oSUloiRlRtp+6jMnUflWlx1HSrsQteZ3XidPB7wlpZiHoJOcv9KDIFeOF6bUTFEwMDGwobipsUGyJFQhjg2vAQof+wIGaBDjznsBTiQOn5z3/+Expvc2QjqRB4ppIzMSwbOYTYoWThQY63MW0P71jaoteeV5zPDy9v+i5Vy70s1oWsGPNyGaDVCzW+3qgYAwgBD8N4vdlmm1lDLx7YYYJxL5+xj/EHL1DS24RhrJRrwFAuXvN4Hodl3ovCXJgO+s+rr75qjWwY/Yl6CcO4SD+m7WH0yyeVA3NLGDZQUmXLNflRpDKfDZG6lJQ99B0K1jKWlgpqRPWZKAyCJStTyXPaks0TtXTC+bWduovK1H1UpsVRUVFpqqu72N3jXArHmDFjrBLkJdtuu60vC1eUUc5DOCHGQy+LSokhFVAmCHWmyAG/D1M4IcYvkf0777xjPv30U/s+6L5F2zv44IMDVbxRDvBW4qd4tfDsMFR6HbZeKGwMODcHaHtcK144KLZegGEHwzJKs9cFODCgvvTSS55U9HbCcx49enTO9BsUJqJdUIlYiS7Mg9CQEilAO6OGhh9RC/nkd6Q4UpjmDYyQGHiloF46JHyefhK2PInMxYzhjCuMYTxnNo1zbSyX6lyYbfOODXBZ44Qh3DwV2h7PmXVZpvmDOfKNN95o3VgJkec38n3ttdfs+6CN0ow/bL5vmbJhih6BkZo806VCWSJMo3HIcaOKM+Km8wZVsTWOuCbTm3YxZuUSU3fq06bHjvvaj8hx1s5wsOA5Y/7vBGM2G2rMeZNNXNF26j4q03DK1I1xPco0NTWalStW5HX/H330kV2Ieu0BRtGJgQMHem60xcA5bdo0mzPLzVAzDI8cT36mgwUxOaWCyBOWC/HGQZF8/vnnbfVzyV/n99gluckk/YCfEIrI82N84XlhZA5TyL4Tcs9hECDENlebdFuWGE9YK1GMxw9kzPcK7oViUkOHDs0pp5UrllsDXCl538QVjAB4UvXu07fdcy+mCr3byLWE6ZoAAyTXw0ZooXNh2CCU+/PPPzd77bVXqOQc5FyYDgySrAnJG8qYyeZiGI2nqWRrk3yG0Z9IhzDBWoyoiKBz6tMGWTNTpLS3Y62RQI9avsz07NmrpIorlp7GGALCuIsUdVyRqXiiaji/Rdup+6hM3UdlWhzsGrOQzOWNChiQyG3lJSgHnMMPgzaeBhLi5ZanEYZZPOVyKY1UXGYnn++FrVIwsufF9SMfDFZ4aFA8Cbhmvzx1eC5PP/20b55geHuJdzKGSbwsaZMUUAirAVXIFooqbZEcqeJlXCy0AzxkSBfghwEVhZ126KUBFdgowsMul6ECL1T6gXqhxgOeY0tLwjSmFJSlHeAB6lXUQiFwLXPnzrWpb8IEm54YUJnLMKjBF198YQ0uGF6iYkAFNonZQIGZM2eGJmeq33NhJjAwkwaKcZLnzfWwZouCARVoi4zbEyZMsPM9kLKDfsXvwmZAJc0SfShoA6pA4cxUPWDdunW2PVRGqJ+7gRpRS3QQjBOuyVQKSzVnCedvESNqvHdatJ26j8rUfVSm7lDTrbtZu25tznxg5H8khNnrUFpyK2Io8aMaMUopngeEeBWbD42FOYZZUh/kUhrJt4ehEoMWuRfDioS0YVQSxXLRokU2xBVQQrwslsUmyWGHHebpZglKPwY6oC1I2Ptuu+3mS47PYoyYGEXpjxgw6Ju5wHi/+eab27ZabCAa/RO5+RXQlm/+xWKgLTP25PK2557X1NWZrl1rSjKCIb65UWvMmjV1Hdo0Gyhh2bBlwyKs4xLzGZ6cjC8Yo/bcc89QeE0WAtcrkRc77bSTnfskn3lqHkg/8WMuzAT3LesxjKjMmRjNyHkaJQO5wLUTgYQxkLbKmB+21DzAtZGrN+i0SnItrPfo1845r6WlxeaTJhojan29WHTmL6FBMK64JtO2wlJdyhPmySeftC+ZSJOIl2rMPVG1nbqPytR9VKbuwCLYJtzPo3AUIUVTpkzxvAAD5yE3lR+FHvCkGzlyZFHGEBSMiRMnJg2p+UJuKYyTKGl47oQVZCPeB9ttt501MAJGNPFsZLHvhVetm5sktCdJA0L1Xd63KgGt143xbMcdd7Tvw6wQcN2Meyj4hSixkvqEvLdiOO6ssZH0AX4YSXg+hIpiOMrHUFwMbGjk4+UnXqhdQ5Q3TykejOL0rdTcqBguGf8IYQ4ajD3oJhgrw1YICY9Urm/GjBm2z4Ypr2RnwHjOmEmbYHOX+8GAiEGVz+TlF346DGA4lUrweOPK+oSNOMb+qMOzxAP1xRdftPOZX+lo8oX5hXUXa9Mw9CM2mNk8T23v62ze/0pTVRVv57J0qBE1ANRrKqQybQvnryxrNocffrh9dTDOtDSVhBEVtJ26j8rUfVSm7tCtW3ebDy5XmDZ5kPbff3/Pva8wbOLR6YeXF0YglCVCt2fPnl3w37OoRMHGoNSZwhn8DQoLeRjDWNAinbxkbhwyZIhVLgElC2UEeWBoR9nkPXLtrLJP/yYvazH9HGMDRlOuAc91lHs8gXlmfIbSv/POO5uoQFgxFZAB2XemzeFhhcG4M0YANgwmTZpk26ofhmbaDxsqfhgr2ByQ9pzLCxXPG/VCjaM3ave03qhsEmEcDAOMWxi4vI4K6QwUmiL0mBQIcYF+zn3xEwM2xmLaCqHWRAMABnYvjdpuzIW5YDNxwYIF9j3zpERlkPeUMO44Ql56NufCViKI9AKsCcMCG7b77rtvuzm/pc0LtVv37qHedPYKnf19xo9BsNRwTaZtnqimKUtoYnNpeKJqO3Uflan7qEzdA6MYygHKYy7wfCNfJItsL8E4RMEKzuUHFLIqNO8UBq2XX37Zvi8mHAwjLtXAuWeMfmHweMoXWTzjUYvxG/DmxHuCvvnWW2/ZxTYKvxgheL948WL7nu9kMgbQ1o4++uiM3pa0QfEixVtG8hZidCPsUDwokCcKMEWyqCDPe5TCsFWLzgZKHoZLNjJQaotRWpABfZ6KygsXLizob2nnY8eO9U12hA9S8dlLJQ3ZorDSTnNFNuClyPfxWlTiB/MgbY1NRScUAsQrLAzQ97gW+nFYNt7wbH/33XfttTE+EeptNxw8Xif4DXPRJptsYt9jWJUNOIyPGL4AD0e37zvXXFgozLuMd7Qf5mVCxqWCPc+N9E0UU4S4GcjI5c0Lj1o2FIHikXwWFlhDhaXwKGtwZJPaDtasqbOFpKKY0sEN1IjqM24PgoqLMm3zRG1cW2ceeOAB++qQhyRpRI2327q2U/dRmbqPytRd8MDBQJCPUZqx0Q9DHx4C7ID7AUY/lCI87fB+ywWKBkbDXXbZxRUlg2Og1HDuKBlR090HRSZQyOibBx10ULKisBSf4P5QNIH7RYERby+KeYhRdNasWcncm6KgoqxKHlkW95JOgDYpbRdPITGIo8yLgZtnHFWFEM8uXlL4yA1Q0iS/Yi5PHJ4ZGwYYvDukOvIA+gJeXnhpe22wpe1g9MjlWdpqFKqznvtRbUdKdniuPF/S21B1WqBtyMZeWAyXeKOKV3qQ0C+YO8nNLDJEVkQnMJ6HzcvPLZjXpOAgFcslFQxz0ooVK+x7NhHZyANySnbWWxUZMhcWI0s8ZyW3KemH2HTkOWEw5bhEaGA4jfvYxlzmXGNxvxhTMaoG3Va5Ljb0WDt5XUQxX5jvU/Ws5uZmU79unR0rS5WyRNCtJUIw8C1fttT07de/0yE8iJtBlDCyuA9SfuGaTP/6LWPmPWXqDrrB9Bh7nv2IcES8k5K8cqcxz/zUmCEnGHPivSauaDt1H5VpOGXqxrgeJ+pqa+3iqFfv3nl9H6OVHzlpCSvLp2K2G6BoYCjKFr7G9eAxOmzYMM+uCU9N2id5U0uhL7d6f62zKQHwtsSoxWv69OnWE5H+iTGUz2zYbQjyhPkBii6bCcgFGaDoug3FwvDoHTRoUNZnhHcvHnl+9EPORx8gV52XRlTJPZfPPRG6iOLYu09fncdjjDVYrVxhvaycRgI+J5cy3odhGH9ou4yZ7fQUnyGHMHLJNF/KGgF9SgyOpQQbg2zoYYh67rnn7FzG82KDiPyijD1sGEp6FYxo6YxnbPQQeXXwwQe3M2jJ3Mm8iKyZIyUKg7Ea72DOx8YiG5CsozAWch6OU0rjGGs71hbZoobI+0n0A5sCQUA/YT52a3O+WGgn6dYcq1evMmWmzPRoy5VfiqjG6DMMcFOnTtXw0zDKVML5m7OF8zeWhCeqtlP3UZm6j8rUfcjz19TUaAun5AIPQuTv9V4siiJeiCwu/QDPPBRCjFbitZEKHqh48Xm5yGVzQJTOKHum5oPIEeURJQcIVUXhIz858hbFh8/DYMDwA9o+RaBo+8jGCwMq4ImEwp0OlHcUS36iWPqh2HG/9D/6mNdeqKQ0yCd/o83/tqZ087+VnDdq9x52Y8HpOcjnbJwx/oShqBN9AwMZxqGgQpGJLpAIg3SIAXXatGkluVZjzJSCfocccoid01kzMbfx/BhXMbQCTgF4iMrmGesr2bTFo5W5UHJEA8Y2ycmKVzLtAJxrMryDpWgSnrJSFIq5pNTGMfpzrrUU67+gCmfJRgNezWF4NhjmX3rppQ79ln831NdbfaGUUU/UAlCPpZjzr7OMefthU7ffz02PQy5P74k68UZjXvqVMcO/a8wxtwd3rYqiuIKO6x0hXLWxocH06t0n60KO5QOLUoxaXiPeFvLTDwghR6mheJKAooJy42chIjyNUKzI5+mVES3M/ZOwSIyopdQ/SXVACOh2223na5sn/BYlHS8YpyEXbzOuxa88qBg2JcTSazBicI+5QicpJsXmUq5xUYkPq1atNBXlFaZ7igclaUQYl/AkDAOEj+NViAedXxByzNyfb1Vz+hjjB+MLnpmlNJ4XOuchG8YlUpkw97GhxFqEzxmnMATyuRSzCkvYdxjB4EfBUKIsCklDU2j7duM6J0yYYHPj+7GmzhfaXqrc8NKvqKjsMC6WGjqC+QyDHQpYGHYw44JrMk0WlsqyS5XMiep9+GqQaDt1H5Wp+6hMvaGmppuVKTvNuXPHdbPeD14Xj+BceGOQ/82vvV+qdJMfDOVP7g/v0EKLTxULCtL+++9vDajIIJN3bBxB9njahCUHodeIxwcGEQnZ9NNghxeMeOEgcxRJzo8Hk18GVPo3Cq/kF/TyPBjDxDCRDWTRWoW4hxpQSwhC+SkwleqJtfnmm/u6kZYLrgcDKhsvHWo5eAQpRgoppsj4QZ/D63vlypWeXluUEeMy478UasSIRYQGc6Hzc9YEakDNz1u7UKN9oe27GOgXeGxL4cuwbMyw4ZFqQG1oaK2bUBOS6wwSNaL6TKkpBJGSaVthqazh/C1NJRHOr+3UfVSm7qMy9TKUsbv1gsjHQI2HhFRI9xKMl3im+WnE4FwYiSmOQegci3GpzOsnoiihJJeSAorCSAhkKRSPQ5GicBOGcpS3ICrzSvumjeENyuaBn5tUeMIS9uuH9y1eXGzC5UNdXa3p0qVrSbRDZT0YNrrW1Njn79y8w7DAS/JWhwU8xvMpilgMbKzgKU8KkEKNTPRpcoJioOIYUnxJyU0pzYVuwFqJfOpAeqZC5Sbtm3y1kibBCxhXSNsgRb7CAobSVN2Ka6VuAptL5epJbuLtThfiQVAJoUwrJSdqPp6o8Z7EtJ26j8rUfVSm3lFd3cWsq1xncwDmCtkRjxwJ1/MKjo0hFeWLVCt+GZk4D94BLCoJrQ/S82OHHXawP7l/cmXuvffesV7MYqDAKED+uLjeJ8Y8jAl4ko0YMSJwTxT6McZMrkOqbfsFzxnjlNcGVO6R8wwfPjznd63nTWOj6dPXXw90JRx0q+lmlq9YbtsBhnSnQYH0LnhuB1nYyQntmb6DN6pXxjbmv2KOLX2bMQ8jtXhVKtkphbnQDeiXvIgaolhXsXMJ84SX0U9cHxFPkgs+DLDWTbe+JhqjrLzcdFHvZ4v2wgAGQZJ/h2nnMuq4JtO8CkuVhhFV26n7qEzdR2VqPF3Yde/eI20oYzpQiCZNmuTbs/ArpJ8qt3gGYuBCJng+hyGVPIVNMHChTCF7r9MpBAXtiXxmcezj4uUh1XhpVxhjgg4XJwcanqgoUXiY43nmdZvnnLNmzbLv/TCqULH6gw8+yPk99bxRMBp079YamZFwjEO0hz333NP22TDMCSB5w6dMmZK3l3W+0F+QAYYpN8KcqRbPGMMx/Rhjok6c50I3oS0RRYGBPlOxxEI9Uln/0Z/c9khduHChPS6e2WGZX1iPvPjiix28UG1KG5wqNKVNknA8sRJCB8EQy7QtnL9LWYv5xz/+YV8dklA3txkTyuNvRNV26i4qU/dRmfoUyljbPpQxHeyio1D6sRDE82frrbe2ypfXxkMWjrKYJMx55MiRdgGZq8Kr1+CVKwoChl48oiBufYE2OG7cOPszTtCf2HQg5BDvavpO0IoJ3mu0JTxQ8YiljdGe/KqoTX4/vxRJcq7mUzDEet6UqedNqVPdpYstMLVmbcf5hpB+KqeHBcaRUaNGWcOMm+OVFGBzG8YYrjno8S/sxHUudAvWZLRTjPxeRFA414JugUd32J4nedH322+/DlFlmtKmI2pE9RkdBEMs0zZP1MpEoznhhBPsq8Mxk56o8c6Jqu3UfVSm7qMy9SeUsbmlOa8iU4RPEQaM56Yf4L332WefeXJsjJIUcMLQIsZK7hFDD56fePqExWCJQQilASX3hRdesCkH4gIypsBBWGRdLHjO481CW8JwGqZQVjxQyP/m3DDBy450HSiPH330kSfeYsiEfkUhKa8NKXi84lEnOS2zkfS86aGeN6WOjczo0cOsW9sxMgMvNUmzEhaIVOA6KcRY7HzAPMvcQj5yLwrtsG4gZyXX+8orr8Q2qqJY4jYXugnzEm2HtSdtn5fb4JHK5j3tk+dQDER64ATA8fwqXpUPrE1Y36amFJKUNtRKUNajRlSf0UEwxDLNp7BUc2P778YUbafuozJ1H5WpT6GMBRSZwkjhl5cmxp3tttvOKl9uG3dY5GZS5jB8jR492nrNhclgiYcAOVLJWUeI2Mcff2yiDm0Oo1fU+zgGeXB6XGE8CINxjnZOrj081/BATXdNUoTJ7eeAcWbu3Lm+9SPGp3yL4KnnjdIhMqNrxyJTjLfMkWxABB2hkHq9bAKyQdFZuE+85ek3XoPnG0YlDGCcj7FBid9c6CbMG/Q78b5mQ8OP+bLYgmhs0hP1EUZ5ajGp/FFp+IwOgiGWaWVruFZT/Trzz3/+0746hLGJEbU83p5v2k7dR2XqPipT/4pMVVRWWK+sXBBKtfnmm/uiTIqxhzylxXoGOL3iUODwiiN8PxMoztwjIdlhMqSKVwN9QhR9PAyjmm8OQwChZVH1NkfutA88wjAK4M2STxi5n2AkkXQQmcAzZdiwYVaJSvVW7SxS/GbMmDGeeA6lQn+lfwwePDin8Vo9b5R01HTrZpqb0kdm4AXHZmNYoI1vueWWyXVSoX2WOZW/GTp0qN3w8eN6WTvwE6/3+fPne37OKBH1udBNpC2zVqPf8e9ckQVuQWGvXXbZxc5fuebNVDBQ8nesL8kJHBaQH/MjHuGky3LCul9T2qRHjag+o4NgiGVa2ToA19evNSeeeKJ9ddh9LaFwfm2n7qIydR+VqT+g1PRoKzKVj3cIC8WJEycmve+8ZsiQIWazzTZz5Vgojnih5gMePvvvv781qK5evdqTfHHFLPTx6mFx/MYbbyRTLPiV39ItMADgURvFjRLyJBIeR/s46KCDQufRSC5H+iiGCwyL+cCaiL8r1kvMWfzGD29c2s/kyZPz8iDiu+p5o6SD9kBYP96ozjGJNoyxEW/uMM0DwPXQ7gu5Lr5LP8/Xa9ttMDKRpgYZL1iwIHLzlhdEeS70Ym7Fk5Nc/PS7ICI6WPMxvxeyOUFqDIoaQhiiUARkOWPGjA6f0+/IC06e1DBdb1jQ1YHP6CAYYpmKYbQpiwdVS5viUBEuZchttJ26j8rUfVSm/lFRWWmNCrWrV+dcNBKWN3bsWN9yPRFKCTNnzuy04Xbp0qVWcWRBXkhImHg/UOCMfLBhg4UvGw14QOIlRc7a9QdgAACcI0lEQVTUsCn5cUrZQRtA6Ydtttkm6c0cRmNcZ0JmMQgTNskGgngAFQp/40Xxm2wg/3333TevHLRr6ursGKaeN0qmMb+qqtrU1XacC5l/JkyYEKrxiuvFi5w2jdd5LujX9BdSw8jc6jeMD2yOMz5hyOXfUY2mKNW50G14/kTVSMQTBRmDhPOT/obrIh1OLvgea4Jdd93VhA3y/nMvHeS9erWpqelmKkO2ARwWwreqizmlPgiGOydqWyhAU5bcP2JgLQEjqrZTd1GZuo/K1F+61tSY8vIya2TIR3FDocS46Ifyg9KH8bMzYcFcH6GDxeS5GjlypPWGxVCZryerXyAbWxile3cbOo0yjZfRO++8Y8IOijTGtjB7mxOuT15P2hHtTzYPMNgVk4/QC/AswYsnU+hevmDcmDNnTsGpLJAR6TekAIgf3i14CzFPYADOBWH8vLr3CEe+WiWc4I1KH6CtOCHsHeNjGDdNmI8Z87OtlxgX6Nd+5EDNB9YRu+++u52z8OAjzL9UicJc6LXnJ2lxaL9E2vgVvp/Pdc2bNy9rv2IOevPNN+24EKY1AfMx/Yp5PFWeeKAak7ApTJT0hG+UjzmlPgiGWqZiRJWQ/XS0NJVMOL+2U3dRmbqPyjSAsP4ePfMO62dR5keuQ4H8b7SF9957L28lUAyetKPOGpRAlGY8EsgZGVak6ioG5wEDBtj3KM2fffaZCSN4zb7//vuh855F+SDPIO2MNocCxQsDKl4dYQVjhBuhec5cpvShfDdKOC9pJvLxCHULlNZ8FNdkGH/37lZOipI9rL+nbS+pYf30L3Jrhy0ygdBn+izXnq5oIv2YfsJ38tlw8BuKSOLZz1iDbEvNMzWsc6HXsOFLpBBz67hx40K3QUG/otAofT/TBjrtlvYbNhi7WKenzo82jH/NGtMjJMUvw0q4WmIJUKqDYCRkmk84f3NpeKJqO3Uflan7qEzDHdbP4ozk+Ria2K33C7xp8mkTLCAlBYBbC0UMkzvvvLM1MnemmIdfoCSLIYsFPgoK1zp9+vTkswrDtUt16DBcC2AgR6GjvWCIECMqOUXDbHhDhjxbwAPVjfysyIA+RM7dfPo3aQ7w9saA70d+WBRBzrfxxhvbdBZ5h/F3CZ8BSYlWWD/jfxiry9Nn6asvv/xyuzmSsQwPca45rEYTIinYtOFaGUtk46pUCNtc6FfoPkhbDescK+sB+pAzfy8eqESpMN9hbA0TRE0hZ/IPO+XaLoy/Mt62jmJRI6rPlNIgGDmZJj1Rs3gwNZdGTlRtp+6jMnUflWn4w/rFk4DFpF+LWQxaeFxSOTWTksWCF48Gcre6vbjlGjDkoqxGoW3igYv3FFBkCEWV8C7yp6IQIMOgCntgoCRXV5De5njpYhAXZU4UOnKb+ZX3t7PQ/nh+hBlj4HfbQEIforgacqBPZWvvKJJ+PkeKVkmahVxoGL/iZlg/4+gWW2yRs08EAWMBfRbDCdfONTJf4uUXtuJ3mYyp5Dfm+knDQyh1KRCGudDPsRuDJH2H/KeF5KkPsl3Sh3g+4ulN3lQ28cIIEVvUlEhFw/jzR42oPlNKg2DkZFopnqiNuY2o5eFfaBSDtlP3UZm6j8o0GGzIYk8J68/iud8Gnm9SadcvOBeGL3bbU0FxnDp1atKQ6tWCmlxuyIq8sOnCJ8MG14riT38ivEv6FvkrkRdgXC00D2YxYLBEUfbL21zaKN6m4rmJUVmMzBgio6DQCQsXLrRGBp6jFLlyG/qQeDEjt3RGaIrDbLvttkk5eg3Xw3MiP2Uuo6iG8Stuh/VLG6TiNeNn2MBYypz04osvmldeecVee9jCpLMhfZoQacZkZI13qp9zk9/4PRf6jcwhRA+wsUtBzKhtaNGHiE6ZOHGijZJjHVhMmigvZb3bbrvZOdmJhvEXRnRGzJgQ90Ew0jKtaPVErTYN5v7777evDnm0kuH88c6Jqu3UfVSm7qMyDY6KikprdCDsJ5dxlMUYLxRKv3JvspglzyleN86cjXiIokDiMSD5Qb2E83I+XsgpbF5J2eQnldMxRiFL4Pnh3Qeff/550kDg5X1hgPMKngkh+vzkPM8++6xVJGg3pKIA5BBWb5JMoIjyTDCKy314Cf2bvHAU/KCPOdsDeYLTbWZ4BYaUl156yV5HLkWQ66yrq9UwfqXosP7UFDfSJ8K66cLGCvlPicaIyryUCjoa8zjjN8Yr+jHjd1yNqV7OhUFB2D7rCMmXLeuyqG5oMR4MHz7criGYg8IG65233347WXC0fRj/Kg3jLwA1ogZAHAfBWMi0LZy/yjSY008/3b46hLa0lEY4P2g7dR+VqfuoTIOja9cau9DFCycfJYxcoX4aoyRnI1VRMaSiWE2YMCFpSPUDFqrknOJ8eMZSCTVqIEep3IrnwtChQ5MevRLmj4FcUjaQRsGtfkn74nxuKFQoa6LU4PFCm+DeCGlDASdPrISJopxjEIwibCqR6xfDJQqpX0VipE8RhomxHcWY9jFkyBBfZUlbHTZsWF7FpHjujQ0N6nmjFB3W39yM8W5tB0MlbQxvzzAZVCh8NW3atGThRzYdoryWYsxmnGEM4t7I0xw33JwLw4CsHZiH2WgD1odhql5fKKwlaH/cBx6oeKQ6c7uGATZ1MFanwmYic6CG8edPWSKq208BgDK2fNlS07df/0iFPSh5svRDY27d3ZjqHsZcmcFb6qZdjFm5xJhzJhqzxTC/r1BRFJfRcb14+a1Yvtx0646xplUhy8d7eIcddvDNkCkeoKLEiuIYhNLANUi+VhbacTHcEBra6s3XxRrwMLbiwYnxgLQG3DOh5dtss401LFDMizyaue6f9kI4OukgsimPkrsVBYyQcvGk5ZyEkG+66abmtddes6GfvKe6M4W1xDgcB7hvFFJkH2R4LpsVPAcM1aTy8MuASh8nz9uWW26Zl5c5bWbliuWmZ6/ekVbclXDAptKqlStMr9592s1ttEs2FTbbbLNQjPeMqRJ2LBss5O/Gcy5qYf3Z+jbzzFtvvWXTmDDmR51858KwQ3+gr5Bz/YADDvBtk88vL0/uR+Y85kL+zbML+plxDYsWLbJrsNQ+Xl+/zjpD9O7TN/DrjBLRHykjBo2Y/GgafhpCmbZ5ojY1rjNPPfWUfXUoppH0RI33glvbqfuoTN1HZRo8LMZQvliA5VN8SEKI/MyPikcenjbOyvNBgFKHcQdDKsaeMHkmFQv3JQZJvAAxYKIssWDHQMV7kT33jXG1NZS6zipTUo33nXfesd/ByCoFQ1BEyC8GeDciOylYRv8HPpPvY0iUc2GoFaP5yJEjk8o0Buy4GFCdlYtFOQrSEIJBnT5Oe/e7vyGLfAxV60MXa9SAqrgChtNu3Uhxs6rd/EZ7pNAU455f6Wwy8emnn9qoAa7JabwSA+rkyZNtKpCoI3ny8bhjs4x7w6CK4VgJDjyESQPEmEtKpbgYUD/88EO7ZiF9jnPTkPuj7U2aNMkWwQ0S2j5ro3RzJuv3Hj16qgG1QLQah6KkGFHr6xvNEUccYd+j1LUrWpPMiRr/cH5FUZR8qKqutnmUUB7Zyc5mxOB3hPVjxMAgtuGGG3p6bZwHBZECMyxoUXQlnD8oryAUCMLGOT+Lb+YYKtDGDe4P7ysB46pw2GGH2Z88E/KH8V0W8L17904aATFy8hley1TrFdlRrAEIl8NICjvttFPyeTqLJTjTR4TBC8yL9j1lyhQbyoo8MBgECQojKSsIO91ll12SBnSv5Y+CiscxY0s+oDS2hi62tiVFcYOuNTXWy66udrXp0bO9pz0bRkQgsJETxFhEP+TcmcYIxlz6LWNwXDxSJa83G7zMG8z7PAdCrtngixLMhYMHDzZRA6MpujRRCeTnluKCQUUEeYFEwqSDfsQGLu2PPhhE32djk43uPfbYo93nrZvbq2w+8OqYbCr7SfRHyIghg6Ba+0Mo03y8S5ubSsKIqu3UfVSm7qMyDQ/kUSorK7fKYz7gXThnzhyrcHppWMHAJIZUCbEkR6rk7wwKWUijsIpSESfP1Hyh74qii1IlubqQCcZQvCTIJUuItsgLry5AKRGDQGqRhLhDvyGPHPeMEbpfv35BX5L1YOM5UKyG54TSxgYBhcjEk9grOH6+VdAJXWxoqO9g5FKUYqE9kV+3sanJ1KcUN6KPYsRgPvK78BFhvFJMRjah0sF4yj2Q1xiv1bjAOMRmHPfP2CnyJwVK0B6C+cJciDdtFCKvMFSzvgPmAdnsZK73K42T12A05R5Zt9G2sm1gyhqPPMQY8P2E9vLyyy+njQpZQ8HHhLFFYpXCUSOqz0RpECw5mbZ5omY/WZuSWx6PSSAT2k7dR2XqPirT8CmPLChTlcd0YDDD2MKC2gtDKooqi1o89FINJXjbYJTDeyCfFARegvcgyjVKB0Wvgr6eMBInjxW3ICwPw6FsEARtDKTfE6qJcSL1WjCMixHc7TIM9BeOiSHZ6fWcCYr/aOii4kuKm7r0KW6IPmBjwS/oH/SN7bbbLu+/kSKQGIriNiexLiCvKBCCLSHObhZELMW5kHZGu2Y9RwQC4yufsaHmZ0FRv2Ceo6/nm5qK7xOdwZrPr3JEnIfnsP/++9sxyUlDfb3dUOyZR256JT1qRA2AMA+CJS3TvDxR24yolfHPoaXt1H1Upu6jMg0PLNYwpNZmUB5TYeFGmLZ4i7oFHml40oB4OTohTJxzk0eTIldhAO8gFrp4zOAB5Le3QpjbFKH6avBqVYho1/QZ8q4RIhi08sM14cmVLccdbZvPMR653d/wBKIf55sHdfWq1Rq6qHhOVVW1jc4gVDbVyIKHPZt7tEevjSl48dM/6J+pRpRs8F3moo8++iiZpzqOENIv0Q/kq2UTiGfCOBW2/KlhnQsxnOLRyxgsRaPYHHem2IkTeHSyYci9YowvJK8rBnyeH84fpDnwEq4Pz1ciVlK9f3E8qa1dbbr36BG69hQl1IjqM2EdBKOMazJlsM9mSG1pNibRUhKeqNpO3Udl6j4q0/BRXd3F1HStMatXdVQe04GRc9SoUa4utlmoohzlOuaOO+5oX0GEV6ZDCh05lesgC2GFAYzxGA7j5g1VCJLDj/ZM7lwJxw2DgooXF0aWfHIo4o0kqRjcAiXWmQM3E62Fy1bbZZ6GLip+QJ7wivJyU7t6dTtjKf0EAyWF8DByegl9rpjK9MyjpExyFgaMK6RaYD3CWIYBlXUl64KZM2f65jkY9rlQ1nQLFy60L8DTVIrz4WlJ+H5coR3guEEu/2Lm3wEDBliPVC/h+pgfUx0JWjcTV9qNRDYUlc6jRtQSHATjhqsyzRbS3+wIOY15TlRtp+6jMnUflWk4wQOnorLCFprKpXzY4i41NXa3XHb3O8sXX3xhq7Wz655PwSqUJL6LBwqKUligwivKLx4dVLEPe4ihl9A+UALCYDD0GxnXMF5Ivk/ahRjbg4S2iQGVDQvScuRThAbjL7nx8MCRfHmdBQ+5BQsWWOU9nxx769auNU2NjaZnr94l2ZaUoFLc9DLNLc1mzZq6tOO825sKAt6n5P0mF6Pko+wMUuCPMWj69OklkTqJdcFuu+2WLCpMuh2eJeH+eBCKMdFvw2oQcyH3KOsP2hNtINU4TxsuxMs5qjDnsL6kXWAELeY5YEBl7sLj2Yvcw1wr3sG0XaeTid1MXL3KlNncyK15WpXOo0ZUnyllhSASMs3qieo0osY7nF/bqfuoTN1HZRpOeB49e/S0ioZNXJ8HeDPgZVfMs2Qhn4/xNBXyxe255572fZi8bTAOHXTQQdbIzEKbBXypgQJALr9S8zbHgPrCCy/YqrqbbLKJ9fAJE2xYiCdSoX0Wo05n+qkT/j7fPHsUkcKIRe63OFQcV6ID7a1Xz142T3hqrnD6AWM73qjk5nQTjDTMqW7BtZJuhnGYDZ1880BGHUK18cYFNoxYowBexLNmzUqOhX4Up/J6LpQIGPJbs8nFe4oFSrolxlup7k57kGJJcYeNA+6feVhSP7jZT4vZ5MiVrzWVtWvX2LVFTy2q6Aq6mvCZUlUIIiPTyi6musKYO391ubnzzjuTIQrt8qGWgCeqtlP3UZm6j8o0vLDTjdcXievXrVubl8Fwo402sot2vGgKAc828i0SRtaZAgYsJjk/YdOvvvpqqDybpW3jUcAiXu43DOkH/IBnQV6vMD0TL1m8eLF9vni74OEZttBIPMbpJ3jRDRs2rFPHwCOVvo7hodACO6Q1QEYo8NmqIQu0G8KpydVcWRnvdZsSTioqK61HKukk8IZOh1tGSeZOjJxeGGeYi7hOvOdqa2tNqYFBVUKwSSNFKiBAFuKtSWSU5LpkrMQgGea58JNPPrGpC3iuzzzzjL0PnjOGQz5jjGUjlzUS+nAYoiD8Bu9bnikbHm573LIZyDGZ0/D0LRY2Y5ifMfamhvHznInIYF2um4nu0OqrrvgGg9+MGTOs14uECighkmlFtamqKDPnn3KsMVuNbP+75raJq6zcmPJ4G220nbqPytR9VKbpYfHr5uK92AIbGEt69GjKK+xWwgULMRJKjrliDYsoD/vss49tV3iX4MkTlnZlQ0N79LBKDukHxLjKtYblGr1qyxjGac9hNaSiXBajlODlIqHx9BF5nmEzoAL9AuUMQ2ixnizITfK7Futhk6ntkPuta9cazf1WooRpLsSY+vXSr61xs9yhQ0hIP9EG/C6feTJbn6KPeLnJNnz4cHsOrhejWql4JKYDOcvz4z3GK54B7/HUHzhwoDWSvf322zY/JfJatGiR2XLLLe04RqRBvmNpoXMhx5Z0SWIEZI5h4wrjHS/Gc66Ja6RQoaRq2WGHHezPQqDdxsmhgbUWMiO1g9cFbN06vmzA0u46bCbWrrYRYnFeL/pNWSIM2ZIjAgPY8mVLTd9+/Tu9YOYY7DbIAKoUj6syvX2EMV8tMOZ7Txqz7X7tf7diiTE379KaN/Xq1vxkcUXbqfuoTMMpUzfG9TDBApt8SGEKt7NhYi0t1js1X8MLf8M9ZFuUi8HVi4U7u/YoBWFuE1IAw+sFvpId2gghn+0iV/IAJRWFhhQSeDARLhvG9kY/w8MNr/9iDDzZlH3GcRT3TOMD3l609XyLcUjxDCpJaehiaRLGuVCuJV0/p30zHnRmPmMs4e/8HD84J/1KjTK5xyLGUHmutEuZKzC2Mn+LsR9vV97zfcba1Pe8kLeEmKe+F8Mn3+d4EmWDEY334mVKO/FiTMRIS8RM1MdbZDdhwgQzduxY+0z8Au9ljLfoNIXA2CHOBOCUP21m5YrlpkvXrqZbNy2q6CY68vkMjZyExEpIZVrZxTS3JMzUV2YYs7jF7LvvvusXNBLOH/N8qKDt1H1Upu6jMm0PC2l2ohmzwmSsF4MoP7m2fBbYKAMs/LMZCMXDqFDjVT5wrVynUykJI1IVnUU01+zngt8PuCeMbHhlhlExQ/54BtPv8s3pK74LkyZNsiHxpGoYN25cKO8PaF8o3qLMe5WLLxuk+cDYnI8R1baZulr7bHr37hNauSqlORfSj8SjOl3bLNTIJXksO2uALRaul3kSj0bta8W1CzGK8mJdw0/WQcgWGWN0xfNXwu35Dr/n78XQCn63d5mnSbcCUnQqarCOYsOOeeaAAw7wfd0na+VCef/9923f23nnnTscb/WqVTaVTU1N+CJboo4aUX1GcpqMGjVKd+/CKNOKarOuyZj9T/2x/SeDaTLcTML5Y54PFbSduo/K1H1Uph3lwUKWQklhCwVOKo8s8PMwpIox0KlcpHrA+GEwRBnhGsKeCwxlSozUeDI4w8KjjNwT9xNWBZ2wSAyp9L9cShf5BLkP8umxSSttOIz3Rn41lLOhQ4eawYMHe3Ye1ljkGKRf45GKV6/IA6WWz8nBmi/kfePvevfpa73fldIjEnNhm2dg6u/QOxjP8zHg0M75bpDRCDI/M0fK5qPiPsiXV1jnQmmDGFLJeR3F0H4q2pPiACNqEBvnUnCRMYAUP5IqIhNicCVVROpGpB1LVlOwLmFzgoexzUQdXV34DAoZuSrCsisaB1yVaWUWpVw8Ucvjb0TVduo+KlP3UZmmD2/3wjOzWERhZJknXqn5IN4XTiR8zQ+kmALnRCkPawYk+oAoLbwX4y/XHKZw1kKRghZhVgCkv0n/Sxei99Zbb9n3KEVS4TnMXsO0HZTifMPn3YC+juLo7GMUPqFoXL4wVlCBuFfvPpFU4pUSmgsThGc3p819jQEn11wjxtig5yTuRQyoeIuHNXd11InCXCgbFoXmUw0S2u2bb75pNw3ZdNl9992DviQ7j3E9uWBTdt68ee3Wf3JPdXW1pqm52RaSCnObiTLRd1OIGDT0XDsLSoAyrcyy4GppLKlwfm2n7qIydR+VaXrCumBy5uSSMPRc1yoeORKyyPsgjE9y7fwMu7eNeM0iY66TlzMsMEqIYk7hi7DKPN110Vbfffdd68WJUUTCG92u7usFFEShreDd4me6FBRw5EW7JZclCu22226b9983NNSbutrVplev8BSEU4IlzGMGxaVajajti6XJHIM3GnNdOo84mQvD5GXLdeNVzr0483cqpT0XhhnJT4sHqGy4hOEeNthgA/vi+vCOTU2PIBsn5ClPt4nCRiJ/SzobdTLxDpWsz7AwJVmx7tSFVKbZDKTNYkSN/6JA26n7qEzdR2UaPZxeOBSbyvdveMbszmfy9vMaFqLibYNyG4U2xzXjTShKuSy2WVyHpWJ1PkSpcNY777xjvSkxcFDFXvLUUmwj7IjnCwpbkLmmCVEmjQDFrGQTIBd4PmFg6NGzl6kKofehoqTSGjFQYVraNhWd0OYxkGKETBemy/gdxggD2WhkfozSHBMVojQXhh3SDpAOjP5E3uQwRoYwp5EqKHUMkPlRIqWcrFu31qa0YTNRozG8RY2oAUya5JbSnYGQyrQ8i4G0qbQKS2k7dReVqfuoTKNtSG2x4YwteVcx79WrV7viCUFdO4qMvf62yrlhBSUWTwUUBeSXTkkgf6qXoXdXXHGFufDCCzv991JdOAzeIamIYoNxX4zqkkuN6yXVSFQ8sbj+6dOnm7q6Ous5G5SHm3gGUdRjl112sYpurnBlrn31qpWme7fukfO0Vkoba0i1c0lzh01FMYDQJ2WMlp/00TAbSOjDjCGtYcV1gc+TzrkwKOI8F0YJCs6R5gjv07333jvU8mQ9QfFJ+tFXX32V/JyNTiI1UmmoJxqj1vTs1Ssya48oo5pnABMmCZdV6Q+pTLMZUZPh/KWRE1XbqbuoTN1HZRpdysoye+E4YfGIZ9ppp52WDP8Xbxde7Mj7DYtTzp0uX2uY+MMf/mCL9FB4zckrr7xivvGNb1glAm9JivqcdNJJ5tlnn00quxMnTrT3SFX0VLbeemtz22235XUNl156qXnwwQcLymvphLaBZ2cYvK4kByHw3FHEwFkVmwJIYQqxzcWyZcvMxx9/bO8Bw2WykGZAzJ4924by09eRNfnesvUxvoMBtWvXGtNVvbSUCCI5rJsxpKZsGEgBRfonYyB94fTTT0/Of85XEHNhPnDtEuIfVP7WTHMh89wRRxxh50LkzMYXc+GUKVOS35k0aZLOhTGC8HiiiXimUdl0I0pkwYIF1vt08eLFdhMlNTVQY2ODWb16lelJNEZV/J29woBqnj6D0vXcc89FKulySck0W6i+FJYqASOqtlP3UZm6j8o0Pl446RQD8e6TPGvjx4+3XgSffvpp8ieKUSp+hRGyABdvm7AVcOKa7rzzTnPGGWe0+/yuu+6yxjI8HB555BG7MH/sscesR8ZPf/rTpLKL9xAU621LXq9DDjnE3H333UXl2QvKWwQ5yvgiFb/BWRFbjOpRwtlW5X2Qm1FslCDrXXfdNZkHFa+r/fbbz8oZA0aqAYbrxoCKwlgTIcO1oqTChiIbi+kKRTG+8DkGVOYcxhqZC52vIOfCTIihip/0cSIfwj4XYmi9+OKLXb+OqM+FUYaweDaPmTOIXsP5Ikr06dPH7LPPPqZfv35p5+mmpkazetUq071HD1MdEcNwHFAjqs/grTBixIhQh2GUtEzLK01VhTE3nnu0ufHGG9sndG9uKplwfm2n7qMydR+VaYzywqUYUsUwifIoSgPKGLklCWNiESwKxdixY80FF1xgLrrooqSiIl5thx56qN2133jjjc0pp5xiK6ULGApPPfXUZOGfW265xR6L4wgc//HHH++woH3ggQeSv1+yZIk9NgtcXkcffbRZtGhR8vt4Dh1zzDHm5ptvtudBaTv//PPbGf9RMC+//HKbm4v7JPTw3nvvtXLgPX/r5O23387qfTRz5kzzwQcfmMMPPzz5GR4M3BsvPGLGjRtnc18OGTLEfsbfiFeTGAiRvxgOJS+tPB9eyCGdV9TVV1+dPO+RRx5pHn74YdMZOJZfRkrxlJK8t/JvFH9+ch20Faf3WBThXiZPnmy9UGmv6Ywvfl/PjBkzrCGINVdqkR3aINWTUYQFns2qlStMRUWlVRzVsKBEHYm0SDWk0tYZg+kbEqIrc6HzxTooyLkQmAtPPPFE+3nqXIin57nnnmvnwl//+tehnQt/+MMfmjfeeKPg5xenuTAu0K5Zs7BWZHMuqrLDAxUPWvoQxn5nTn7er1q50tTUdLMRGYp/RHMFGPFJMtNOghICmZZXmuqKMvPjk/YzP/7xj5PV+tp5opbH3xNV26n7qEzdR2UaT0OqGE4JV8qU14m/4ffy7FGEGK/xNiB0D881FCOqfaMQEar+xRdfWAVPYIzHmPSf//zHPP/88zZsD2NNIaD84RWE0jh16lTz0ksvWQMknzm9gAgbRJHjJ9eKwuVUPlFg//73v5s77rjDhjD/8Y9/tAotcvje975n7r///nbn5d946aFUpoNr2WGHHdqFfP373/+213vZZZel/RtRMCRlAqC4i+FQ5O70yiT0EYUU5RkjGPfAM8NrQthzzz3NJ5980s6wnC+0B56lm16+ziJbznymGE6l7ckGKvdLLl6nUhxVuE8Mp9zDHnvsYVM5BA3y53poI6kViAUxDvEcJL8iSiOf9whxpWpFKQTacaohlZ8y18kGA59lGw+DnAsx2nKtzD+cn7lD5kIZP5kDCWmnKCjzWJjnwkJgLnR6BkdhLowrMr/Pnz/f5tWm3zC/RHWuIOKJPk0/2H///W27Yi5sNaCusAZUjcYIgISSN83NzYmvv/rS/uwsDQ0NiSeffNL+VNzBVZk+dmEi8bOeicSEGzr+7q2HW39331GJuKPt1H1UpuGUqRvjelhYu3ZtYu7cufZnFGlubko0NjYkVq1alWhqamr3u9NOOy1RUVGR6N69e/J1/PHHJ1paWhKjR49O7L777u2+f+211yYOPvjgdp8tWbKElXViwYIFidWrVyeqq6sT//jHP5K/X7p0aaKmpibxwx/+MPkZ33/sscfaHad3796J+++/377/v//7v8SOO+5orwP4ifw5Dm2Tf3PtAwYMaHdPJ5xwQuKkk06y77kezvPCCy+klcunn35q73369On237T3DTbYIPHAAw9klCX3MG7cuHafnXPOOYlevXq1++xf//pXO5m+++679vOJEyfaa3L+Tl5lZWWJ3/72t8k+s27dukR9fX3i/fffT/Tr1y9x/fXXJz/nnleuXGmPNWHChKSM8oXvcoxC/wb4u8bGRvue6+MFtbW1yT7CNcp3CjlHFPvdF198kXj11Vc7fZ9ug9yfffZZ2xfzgeuePGmSHa9XrlwRmvtQwkdU+mS2MY+5kLEztZ2fcsopaedCGDNmTGLo0KGhmAuBMZfjPPfcc/bfqXMh4++xxx4b6bnw1ltv7XBOmQtvvPHGdp/LXDhp0qREoXRmLizFfvf1118nXn75ZSunMMsqF1w7skw3PyJf2uXSr79K1NXVBnJ9SiKhpbt8ht2DfffdV6umhVWmFZWmuSVh3py7yJger1tvjWSocHPpFJbSduo+KlP3UZnGC7xRoaama1qPAXbgnfnEJJyfMXr48OHWQ0O8Xd555x3r8eL0ohTwCCVEG++YkSNHJj/Hq3nHHXcs6Jo5D2GEqUn+8bAjBIsQSqDSuDPtBF4Rs2bNSoYj8rsxY8akPQfpCwhFvO+++6wnyxNPPGFDHk844YSM18X9EfqVSqpc8Rzi/OSXxdsvNf8pXjyp98b3xGsKCLmk4AUFOg477DAbiun0+JTUAJJnlSIJPBf+Hm9Wfi858ziW5CGV91wT8uH54nmBRwaf8Z7v8F3ecxyOwXvaBj/5Gxkf5N7lfHLtmWQTF+bMmWM233xzmwKDAiphuE/aJ8+BPt0u4icLNmfqkF1tW6B4RhjuQ1HcRsZWHA7TFanjd/Sb22+/3fYJxjBnQTiqeTsJw1zIeQTnXEjfpxgf6QaYCwi9j9pcmIrMhVwnHr5OZC6UFDmF4IwQUdpDP6AgISkgevfubQYNGhT5+UEiYtLdB2uaIbsOtuH73boFWwyylFHN02foDIQkKSGVaXmlWddkzJ4XoKjfbcP7kouTZGGp+OdE1XbqPipT91GZxtWQWmZD+1v/vT5VA2NxppA9foeyxOISpZKxm/xjN9xwQ4fvYsDMt5IxbSy10IczfxvnQWn961//2uFvMVhJ+GWq8sNxJSxPFKtsfP/737d57G699VYbvkjoYLYq8OTDEyOtsP3221sF73//+5/NoQco1sg000YE+TJJVeAk9bvcH9dDX/zTn/6UfGaiuBI6Cs5zyneQi8jYqbSKEVXyAXJOviNGVN47CyI50w9IKL7TQOo01JVC+g8pDobS70yLEQbFkj5DqC9FXfI1oEoO1Eobwq8GVKVUDKmt6W1knHTOdxg5+X272g1tv3MSlrlQcF6v8z4Zo2RO47iZ8n9GZS685557OhyDdCqp8sgXOwauWmWPXQpzWD7IhittipzZrAGRD5sAUYU1DhufGILTrXclhL9rjRpQg0Z7oc/Q2ck5o9WkQyrT8iz7Ci2NJWNE1XbqPipT91GZllaxqVxgjMQow9+Q/42F6NZbb20Xos4XSubAgQPtwnv69OnJv1++fLn1HnWCskN+M2HhwoXtvEiIVuAzvPxSz4NHBDhzaeLxk6qIUpGcayYnXSbw8OS68cQlpx254bLB/ZMPzHmu448/3t5zOmW6GKhkjJJK0ZF0Hj94GXFePJBADAK8+L4o0uJZzHvxmuK7kpOU96Iso7yK8ZnPxRgX5YJPboLh+t1337Xvt9pqq7ReaH5DG8fQwrWQozHfCIL1RaTUgKqUdo5UJ/QHxlWMKmyYpP7eOUeFZS7MBmP4brvtZvs7ucUh3T3FaS7sjNOAjn/rYQMAmSIT2k4cnCro87IuSqWpqTGZA1UNqMGjK02fYdF48MEHa/hpWGWazYiaDOeP/7PTduo+KlP3UZnGl84YUkXhxFB5xhlnWK+Pb33rW+b111+34YTPPfec+e53v2sVUgw5fIdwOwpcsBA//fTTOxjgMPbceeed5q233rJFOc4555x2njQnn3yy9XShCjHhfoSUUZTjBz/4gS0g4bwu7kOMqE6FDuX2tNNOs8ogypcc4x//+Ec7hZnr+8lPfmK9aPbee++ssiDcE4MVyrOAMY2qy4SBcj5CPClwQQERinjIeQoBT6C77rrLFjDhHvHs4cW5BeRC2o18PG6VzkP7mjZtmpU93lW52ojffPbZZ7afQar3XCboqytXrDAVlZVqQFVKjlyGVOD3mcJ+4fzzzw/NXJgLmQu5ZjbI586dawtd6VyoCKRvoB3TdvEOxngaB9iQICUG4GWeOkc2NjbYgopaRCo8qBE1AFThD7FM8zKixt8TFbSduo/K1H1UpiVgSM2gPGaCMO5tt93WvPzyy9ZLGUM73p4XXXSRDccT5fCmm26yCg2hjgceeKAZPXp0h3xyKFrk2eJ73/72t82ll17aLnSQ91OmTLFK2Te+8Q0bgoVCSh64VK8I8bB0hmkKeNXgHXPeeeeZnXbayZx55pnJHKICx8UIi/Kbi/79+5tjjz22Q2jlhRdeaJXSr776yp4PJRTPHhRevHqQUyHgPct9HHXUUTY0VF4333xz8jsPP/ywvZ/OwHMnhLGQ519qoKRjJKFdoVTS/p05a4OGsFnCLMnLOmLEiLz/Dg+7lStXmOrqKtOjR081oColSXtDalOHsZDfSQRGOkMreURJn8HvwjIXZsM5F+LdikGVMY4xRDZUdS4sPb7++mu7JqKt80yRA+v/uOSJxWgq0TjpDMcYULt1764G1BBRRnWpoC8iKjB4L1+21PTt17/Ti1MUuqefftoO1PnuxCs+yvSl603dc782PW5q3TlslxN14g3GvHSdMcO/a8wxt5s4o+3UfVSm4ZSpG+N6WEBZQQHAkJIulCyq8IzwSC0vKzdlbcpkPqDQsLuP4TLfv6FQxO67725uu+024yWS0xMFgOdG+82lDODFQh7JJUuWmI033jjnOQjnPuigg6znUVDh3M8884z50Y9+ZK+lMxse4rXrTIkQNoLqd5IrEQ8qlKxCC8H4Bc+ecN4BAwbk/Td43axetcrmfcPzJqzPXgknsZ8Lyys6rFec+SGh2D7j11yY730zxvEsuU88XMePH69zYcz7HXMcxnOeGR7SGE8xTMcJjPhffvllxhQP69auNXV1tbaYYrUjz7sSPNHWGCMIAycKv3pPhVSm+XiiVsbfAKbt1H1Upu6jMi0NpHBQSwIFsiVvTwybQ7HNgIoCVkh+Va+RHJ9OxSi1uJLAtRMOefXVV9sqxPkojTBkyBCb8w2lJijwHCHMUfuou9AmXnjhBeuNRQhs2AyoUi0Zb1I8ugoxoDq9bsj7FlaDgaIEGZ2ROp/RTyQ3NA4g9L043Tch8Ix3H3/8sfnlL39p50LSB+Qzr+tcGC2kzgHrHvLZwuDBg2NlQJV1LI5affv2Tfv7NWvq7KtX7z5qQA0hakQNgDhNbLGTaT5G1PL4G1FB26n7qEzdR2VaGpSVYUhtrdBeiCFVjJO0kzAG3nB9KIcoiRhQpUCI81r//ve/WyPUihUrzI033ljQ8ckdV2hYopsQJjly5MhO/32phzCmgkJJWCMh+6NGjcq7ur3f8LxIMYBBtBAjKF43tatXWa+brl01b6CipDWkVrTlC0+z6SZzinOTLi4wF1KoikrszIWMLxhWIde6QOfCcCNtFc9TNghZs5EaIjWtRFygABkbAqTBIOWGE+SA92k9qTB699HoxZCiRlSfYVAgB4sq/iGVaUWVqaow5qoT9jBXXXVV+4GruaFkcqJqO3Uflan7qEy9h2q8FHeg4MLbb79tq6ESsiUg+8WLF9tQq5kzZ9pQNf6d+kwoRJH6wsiSWniGxPoYipznSOe9WUieVP6O3X7+1ql0pYMwwaDCF/FQ6dmzNfcj948yIcofBlbkS17JUjMYOHP3lSJ4lVGgBMgtKIbTMFYixriBckgbRvlNpkPKQb5eN+RcJG8jSifnoBCbE7y1ySks3j3kd3RWHQc8dyUkVl6/+c1v2n3nT3/6k924oLJ36t8rpUeY5sHU6Ix0eVCZS2jXzCGZjpGLIOfCTKTOhRig2FDi/hl7RBZhijpxi7jPhaQrIrSdDQCKgUkbjlskgkQbkV84XVQR7ZeNxKbGRjsXZvJc1rkweNSn3GcwylG5UAmpTMsrTHVFmbn6+N2MOfHq9r9rkcJS8d8R0nbqPipT91GZeg+KyUYbbWQXYizuPv30U/Pee+/Z/E0ocYRdYZTcYostbA4sCbfj84EDB3ZYsJEbUXDmAMVQRAEavEzwxkQB3WGHHTIaUjGiSk7IQhbZUqADJIw+TMj1oBiCeGbw77gUUCgEUYidz60UEKMAhlLy+i5dutRssskmHTxWwoIYcWinhVaetl43tbWmobEhq9IIjA1UY/7e975ni9ekwphBBXEKy9Fvbr31VltMB6PXhhtumPwe4cDOAi9sXgiMPXi5UQSG8Y7iNRjQlNIlbPPg+ugMik01J/Okpo6RkpdSvPziaICTe5ZNJeYL5OjcZIrD3BHHuZA+xH2Rjob8u5KvttA5JCrQVydOnGj23HPPtCH8PN/Vq1ba98yF2fqrzoXBo0bUgBbG4m2ihEymEs7fnMazral0jKjaTt1HZeo+KlPvSVXgUADxksGwg9xZ7KLwOZU2PETIPZZqpERZzBSWhMcOv+N4/B1Go6zVim04I144TWmLbGRCzs/5pGBBGNuO3A+yEEMx94tyLtXXS82YWAr3jJLFfWJ8mTZtmhk3bpw13vAKM3PmzLHtkgrXzvEgF6I0YoLt3btPzo2CQw891L4yQdVwJ7/97W/Nvffeaz0DKcomMHZhlE4HIbN4fJFHke+IR7hSuoRxHnRuKjZn2FSUeYTxBI/UsM53biD3hQycER3IBeM3Y02UPRujPheKAZgiShjnhg8fbsdX2TQLY2SFm9AWGRcwoDoNlUJTU6MtplhZVWV69Mit0+hcGDzx25IKOUyQuKxr+GlIZVpeaVoSCTNn8VKrFLQLCUl6opZGOL+2U3dRmbqPyjS4UKRs3mKZPERZOBMKOW/ePJvX0RmCyAKa8fatt94yCxcuzBm2LspjpiIbueBvUVQ5TrpwyLDA9WGcQvlwFqGizZdCu497CKMg7e/VV1+1ocM8c7xGwprzVMCIJEYl8tcVAkrjyhXL7YZIPgbUQmHD4Z577rFef3jsOCFkkUrPhCjedNNN7foSBUxQGvk7PA1/9atfuXpdSvQJyzzonAtb57KmtHMhhlkMibJBE9b5zi1kvmAcFW9cjFiS2oD+HrWQ/yjOhRjdbHh6ba1NvYXMaePbbLON/T3vSckQd5YvX25efvnl5P2njgn19eusBzp5wPMxoBaKzoXeoJ6oPsNEdvjhhwd9GbHCVZlWVJm1jcYMvuJpY6542g78yZxeyZyo8fdE1XbqPipT91GZ+guL4SVLllhvlkzhVihoGIGc4UJAGDKLRxQAFouEOqJkSk4oPsfbh79vNY7mpyjI9whnlHDFfBagfAcFuDWBf51dyIe9aq4YfoHFOC+umUVva9Xm6ChX+cLz6UzahiggBnHC6yQ0D+8cSeUQ9ucpm1ijR49OhmHmC0pj7erVplu37qZr22aGWzz55JPmm9/8pjXwUs2ZIiVU8RZ+8IMfmD322MP069fPevv+5Cc/sWMWnjoCHjuEMTIuxDW0VInPPJhMc9NSliw2lfq3shGHIZF2XQrpYUQu4HxWyEA2J8mTzloy7ONtVOZCiZhhA5DQ9f3228/q0fvss4+VMUZtMWzHHTw5eVaE7iOH1DZm0zWtWWPWrVtrPUKrq9PnAu8sOhd6S7hHjBjC4EIS8ajtgJWMTMuzLCqaSyecX9up+6hM3Udl6i940OBZQI6ldLDAxyDEApkFW6ryiNLJQozfERr0xRdfdDhGZ5SZ1iIblQUXnAIWuCxexRiJ8loMt9xyi7nuuuvs+wceeMAm8+8MFBKi+jrX5lzQCigoooigsIj3QNBeRjxjCqMUCsa4VA8JECN3Z++ps9eTmrdtr732Mm4g90GYLvfMv/E2owAE8EzDrCADzwNFiz5DuoF8i0clC0jV1dkcqD179TI13bq5fr8UJcHTD6Vw/Pjx5sQTT7QhpMIll1xixo4daz1szjnnHNtnf/e731ljihO8c1RpVKIyD4LdTLPG1Nbw/tRxk77G+THEMW8UO9+FYS7MF2coPzJAxshHZMA6Ujwn3aCU5kJnZAzyxHhIWySaQlJIpAthjzvIG29zSI0qSZDKZvUqu6Foiym6bEAFnQu9RY2oPsOk9vrrrydDQZSQyVRyoqY9Udtiozz+RlRtp+6jMnUflam/iiOeMxQASBdizDNggc3CmdxwqQogCzk8EfDCQfn897//bZW4VAM4izcS5RMazHdZsBPiLKCMYbxhYS4vri3pcVLWei2iaODp853vfMfmlOR4XP8VV1xhw6vkeAcddJB935pjtbUtcbxPPvmkIBlx7bfffrs5//zzTbEQekWINDnQWOhmA4WcZyJeRhL2j3y9NKhSKTk1vIvojc4UP9p3331tjsFUaEeEkuVjUHDzepzgGYax44knnujU38vzQLkkpJF24gyrQzkR79MwI20JrxapKJ4pt2Pav08qjfWeKY2AUZcxiLEDLxrGC35mYuTIkdYAsGjRIk+uR4kPxc6DqXMhP//xj3+k3Qju7FyYaVNR5kK8Xjkeobo//elP7VzIdzIZOqM0FxaKGJWdz0nS5Uj+R4n6yEYpzoXMZ2JsQ16ydmIuE2/HsEf3eAFymDVrll1/sTkqqQtSv7Ny5QomVdO7T1/P5KRzobeoEdVnWHAecsghBS08FR9lmtWIKuH84c5R5gbaTt1HZeo+KlPvQblCMUPRYgGdztiTj+J4yimn2Ge1YsUK869//csqbyh1qd9lAYfCRP4ovnvRRReZI4880ioAAjvn/FtekovRFpwqX58bDg+Wvffe217zG2+8Yb0jCC/D6Ehy/UzenaIwFerh/J///MeGY5O3rFiQ+c4779wphdAZUifPR95HDTE+Bp3D71vf+pb585//nPf3kbl4OOEFgvcH4xRFJWhnKDMoxGH3OhWQ/2uvvWaNp4Qokx+t0Pyn9OdWpbGPr8o1fSHVsybVqMU4FPbiXUr058HUufCPf/yjrZq9YMGCDt8rdi50biqmmwsnTZpkvQPJv1qMh2MY50JnNft84XmJt50zDQBzpxhUnd67fs9JQc2FzvGT+z/mmGPsXOj07GXdFIWNQK+RlFLi5ZwOZEku8KqqatOzV35GcbfQudBd1IjqMzRgFtMafhpSmWYL1S+xcH5tp+6iMnUflan3oMAQeoz3KEoFi3heInNRHPn3gAED7E/5jiwiUQCpUnzsscfaRfgWW2xhlUPxBk3dOb/yyiutMshijnxOGJ3SKZm5Ck799re32JDJP/3pT0nlEk8Mjj9mzJisx3B64Dg9fVCyuPZ0PPvss9aLxAnyOPPMM63nz+67724XqU7ZktOXUKlBgwbZvwfCqh588EFz7bXX2nOi5CIrDHl4eAwcONAq306vkwsuuMCGVmMg/uCDD8zcuXPNYYcdZnNdjRgxwnpsA/JPNag++uij9vzk7TriiCPMp59+aj/HGwFj19133229l5DhX/7yF/s7ru+vf/1r8hq5ZqfMRMFH1sOGDbPfOeOMM2wYONeJPI477rjkgh6FXqpbP/LII0l5o+TTJr773e/a3913333WiMHnhKDxd/leTy4Zkh+MqrUcmzBE8bYE8pm99NJLWYt5cS8YJ4DnTJuHXXfdNemZg4yjYjgFKQrCNSOzQisoW+/otWvNyhUrTJeuXYpWGrkWZCv9CBnznr6EIYjNGYy9bNDMnDnTevLRnk844QT7fTz5brvtNuvp9eGHH9o2c/HFF1sPPZ6Nong5D3711Vd2XP3GN75hw3zZkNh+++3N/PnzPZkLmQfLy8vMb2/JPBcS8osBjO+L13ym0OQozoV4BTJ+07+ZizAiZ0LmQo7NM2LswEDIOpO5kHOxfkGGzEWM+XGZC8VIiwwvvPBCu0bi2Bj8abeAcZDIHeZCCHvhQz8hLcf06dPtezxQU43KNh1D7Wr76t6jp+neluags+hcGAISSt40Nzcnvv7qS/uzszQ2NiZeeukl+1NxB1dlOu/pRO2Pe7CCsK/a2tr1v/vToYnEz3omEu/+OxF3tJ26j8o0nDJ1Y1wPC2vXrk3MnTvX/oSWlpZEfWNDUa9pr72a9vXZ55/Z33+9bGlixowZiddff73Da926dfY6VqxYkTjzzDPta/r06Ym///3viQ033DDx6aef5ryn9957L9GlSxd7DLj//vsT3bt3T/Tr1y8xaNCgxN13353xb/fcc8/ElVdeadsHskgHxzvggAM6fM74v2TJksSaNWvsC2gjhxxySOKyyy5Le6zhw4cnnnjiiXbHrqioSNx1112JhoaGxB133JHYZptt7PVwrCFDhiRuv/12++9p06YlNthgg8T//vc/+7ennXZa4tprr00e69vf/nbim9/8ZqKuri7xzjvv2O9OmjQp+d3+/fsn3njjDXusVatWJTbbbLPEv/71r0RTU1PiscceS2y55Za2XXAdvIBjvfvuu4levXolpkyZYp/XhRdemBg7dqz9/UcffWTlcPrpp9u/feWVVxI9e/ZMLFiwIO01OuUGY8aMSey8886JxYsXJz7//PPExhtvbGU0e/Zse42DBw9O3Hffffa7EydOTAwcOLCDTJEH1/7kk0/afz/11FP2eNzXPffcY48p7SzX9eSSIcfic+513Lhxtu04QU7z589v9xnXsXLlStvvFi5caOUJyDhTm4sSX3zxhZVRZ+6FNr5q5YrEsqVfJxoa6l25HtqJrM+cL54fz+3YY4+1bb+6ujqx6aabJo466ig7PgkzZ85MjBw5MtG7d+9E165d7Rhy/fXXJ9uQEg+cc2GY5sE5c+Ykvvvd79q58O233048++yzdtz57LPPfJkLm7LMhYzFjP0yP6QbQ4U4zIWpzJs3z47xU6dOzXsu5G/g5JNPTlxzzTX2PefkXHyfZ8b9MRfyjD7++GP7rIOaCzk/nHTSSfaFDF999VUrQ87LtZx66qn2WIyVrH3ynQvTrUFLAeZ/ngHtetmyZWm/09TUmFi+bFli+fJl9rtuoHNh8JResoqAkUT8Skhlmq2wVIt4osZ/503bqfuoTN1HZZqdxuYmc/szD3hy7Je/nJV8/8NDTzfVlZk99AlbJoTx1FNPtd4TQF6mXPm5CKFjV5yKoRwD8I6YPXu29QTBuxLvVrx58ORIBc8hvG9seH9Tk/ndnXeaa665xnoTkhf15z//uf3e5MmTM4YdSvEmdJDLLrvM/u3111+f9rt4GqVWKd9yyy3Nueeea9/jIUOV0xkzZljPIu4P70cg1JJ7e+aZZ6wniBO8nP75z39aDyS8a/A6+f73v2/+9re/JT1quX+8XOCpp56y4dYiE8LvyI+GVwIeMQJeJXje8Hvyc+JhRSEQvFedBSiuuuoqKweKexx11FHJdAz5gMcNMgCuFY9WCQXHUzZd7jcBWeM1gTz4rvyNgFcT3j0LFy60+f2ykY8MORefizzJX+oErxyeMR5V5J7FE0sqJgMeStJeop5iBM84+idhfXiHFeoxg0dT7epVNjcjOd/cClmk/WYLZ6U9Z4NKxPQDpXQI0zzIC0/C1LkwtQCVV3Ohsalumm3xmNS5kD5O6gCOkYuf/exn9jhxmQuB4/L70aNH239zb3jk4TGaaS5kvGEuZC0qY1ym4oA8P+YI4O+loCBzCfMaXoTOKBHGUOYRSc3D/HTaaadZz1DgJ2Mh8zZtSuZCPJvFQ5r81fxevCIldynXPWfOHCtDZMU8/fe//93KhGvnXIyV2eZCcgMrxno64znM2iadB2f9unWmrq7WdOnS1XTr3t21SBSdC4NHw/l9hoENd2oNPw2pTMsrTVWFMZcesKm59NJL2ytCyZyo8d970HbqPipT91GZRgPCognVu+mmm2zI2ptvvmmVQX5mAgWChTyLU5QDgST9hBCisJAEH8Ur02IRYyAhVja8v6LChqihTJ588sntwrJRvlD6nC9B8n5hOOSFoiFhj6mg3Drz1YEoTXIs/o1SRsgV4VcYb+VFCKNTYRMI+0QeEoYJhIw6DZ3O83BsMQzLa968eR0q8zK/kSsP5ZYwQeTETzGiSr/i2GIs5LvprjETztxaGB1T/50qLyeElnHtzMXC448/bhf/cl+EWfJMc5GPDFGCUq8NBRc5cP+E6hN62Rom27p8RnmOS9VaKUwGzlBEyQ2Y7zHWrlljVq1cYbrW1JievXr5mvNNUcJM0HMh3+V14QUXZJ0LGS+ZG5xzoUBRyIcfftjOhZnGhqjNhcBnzuNiBGYDyfld2RCU9+mukXlVxjzmBnkvaRmkUj3zDe9lDqFwluRbBTGo8nzIhytzoXzOs5a8s4Tly1zoHG8Zx516LOH3IkNSU8j10o4yzYUYWlOfJdcqxvxShHB52pEY/Z3yapcKZ/Vqa0Dt0bP48H0lfMTfGhQyWIyTo4UOpwvLEMq0vMpUV5SZm47awpgf3JQhJ2r8PVG1nbqPytR9VKbZqaqotN4xfpwnGzwjjHPHH3+8/TfeI3hioNyIt0Pqc8VzlQUn+b2yLTx57pl248n1RhVZvEdEeZFqxYUUZ8BjgyrDKHZ46UiRiVTjGbkv8QRxklrVmH/jEcT5yb2WrsBVKihIKDoohFLplfdOT16njPBwwUvlv//9b85jc4z3338/qQxL5XWOIffJNcu/lyxZkvSecebQc1s54Lk/99xz1sNK8nBidCCPG8ojOUu5ZpFlqgwKlaGzAjMKo3iXyv2hoPIZXj6cRzxO4wT3iAcq+QPTVRTOBfIh3xs/e/XuE3lvXCUehGUeDMtcKBuDzVnmQgx7vOR3Mh4yF+JNylwoeZ7TEeW50GkowyjJ55KvlPlP8sDyXgpeFTL/OQsy8cxkw4r3tA1B3mOsnjBhgp0LxXDJ9eDNnG4uRD4yn6czcucjw2xgXMewSy7VUkPWCPQNWf+k0z2aiMSoXW2/QyRGIRuRSnRQrdNn6HgsUP2sTBp3XJVpedsxWtIUjyghI6q2U/dRmbqPyjQ7LOAIL/T6lUuBoPgBxjkq9rLopOjR1KlTraKVjrPPPtt6eBBel/psUd6kyAHeO3fccYcNq8vkyYin8llnnWUVHq7zq6+/Nh9++IFJtLQklchsELJGmOTNN9+cVHKlEq31ulu7NrmwHj9+vA2HdMJ577nnHuv58fvf/97eDxXa8Rzi7yjaJMWekAnKTCoswFG6CblEjoRwEgJKoZF0UByKAhx4baLscI3ILV34Hcfle1SQ5xo4B0o9CpkoBxSoQFYo0CijyANZ4lWKUcBZuVjgvCLbQqsJ81zxuHnsscesARWFkWPwk3OIN+vtt9+ebAvA5xRtSUWMvNwroZfIQWRI8RD5jlyn03uI98h/ypQpNnVI3MYa7hmPGtoV8uPZF2oQFw9WKg4jN5RGNaAqYSEs82DY5kI8Ehm/E4nWDaR047TT2EcxotS5MBNxmwsF5kLGOsKgmQslTUCmuadY3J4LOyPDVOI6F+b7PCjUxPqPzeTUPs+zWVNXZ1auXGGqu3Sxm4lqQI0vakT1GSYKOqCGn4ZUphUVpiWRMIu+WmMnoHbHTIbzx1850HbqPipT91GZRgO8J/7xj39YLxgUgUMPPdRccskl5sADD0zmHuMz4Hn++c9/trnS8JiQyrQoVfDCCy/YHGd4abDov/zyyzMu/jfZZBNbgRTPwqFDh9pz45EzbNhwc+EPfmAXvLnaDgoYHjXnnXde8lrIv+n0PrAeri0t5sgjj7TX7VTQMPLjQUI4JQokKQHEy4d8bXhb4i2DFwj5SDNdz5133mmVQEIIUZSvvvpqey+Z5M2xyXuHMoXnDOdOBx5AyJucanh0k2vuL3/5S/L3KACEDBKKeOKJJ9pjIn+UCKq9UvWVa0c+TpxVqfHoEQMrn0v4qNPQ6gwpRZFFYUe5JuyRkEoqDPPMyaOHZxHPFi8hQlwlBJJ8cSi3hDfyfc4LnBvlWWRIGCMy/MUvfmEOOOCA5H06vXdSvUvwBiIHa1ygnaFASzgpRnLeF2r85O9Wr1pl1qypsyGLPXpq+L6iRGUuZGy/4IIL23nip4Oxgar2qXOh5LdO5eijj471XEh6BY6544472t8xF1KZnbkndS4sBgy16eZCnh8pIVLnQiHX9RQiw1TiNhfmAoM1fVHaiDPlg5Ompka7kch6g43Ebt3cy3+qhJMyqksFfRFRgQF9+bKlpm+//p1eJDJoMbGw+1aKuzhe4KpMP33L1N2+n+lxU2v+FxYcyfCKm3YxZuUSY86ZYMwWw02c0XbqPirTcMrUjXE9LOAhQW4xQrTiGG7sNtb7sE15LGvLFdfZRS8LbdqjeNPkW3gpzLCRiGLmNHB2BlGGkS9yoq+ikGLEwxjLe3KskXuN75B7FAWd9yjhEs7P5yjFHA8DKZ9jxKPdM0/zHtnjPSpGAQlJLUaZwXBASC1GiHTHiWK/QykkLBPlvDOIN9SaulpTVV1tundvfV6KEgai2CeDRDYU8UotL69oF3Ke+j1g/BUv/UzgsapzYbyI41yYCbsuLCuzG7BEa7D5kG6Okzzga9euMTXdupmamm5qPC0R1Ihaosq2koHPZ5m6W0elN6LeuJMxqz4z5rwpxmy2e7DXqSiKK8RpXI/TAtZPnBXWpfBGZ48DYhyM+mZJGBRHMdYhz7AqJlHpd7LpRDVm8TjtTFsnrzBrI46HsZuwRUUJE1Hpk2HD6ZGKgTSTIVUqx0salLiHLOtcWHr9Dk9ePKOdhcrSeZ9SPMqYMhuJEfU1n1IY0dYYIwiKGomrRWFTQiZTyYmajpa245fFe7EA2k7dR2XqPipTxQ1QSGwId1vhqXxypWY6jrM6L8fAE0f3qotD+3dx4M3LCwWPUERJV1CoAbU19+las2LFclNWXmb69O2rBlRFiRGMCWI8bW5uMi0tHedCm2O2utr+xKiI4UzxB50LvQWvUymARtEwZz7cjrlPa83KFa25T3v36aMG1BJEjag+Q8cjv4kqVSGVaTYjaqJt8iqPvxFV26n7qEzdR2WquAUKYTl5MdvCv1sVyPTFNnIdBwUTZRSFR/J1duZYQUP+uKDDF5En0SBh9bwJM5KHlrB9xknAq6Yzyh7VhletXGHDFnv06Gl6au5TRYn3pmJ5hWlpaY3SyJSflLmONCzMbeKdHkd0Low3stnNeu3LL7+078lBm+phLd7AK5Yvs9/V3Kelja6AfIbF64gRI3THIqwyrVBPVNB26j4qU/dRmSreKpAtnfZKBdqlKD1467D4VgrD5htbuzZyBuigWbZsmZk8ebKVG8VPMAJ0BvpAbe1qW224qqra9OnbT71PFaWEvFJzRWhI/lTCzPkbxgypIq+4h86F3oA8p0yZYudM8qzvscceaY2ibKyvXrXS1NWuNjXduptevdX7tNRRI6rPMAnNnz9fXfLDKtOsnqhtO7El4H2h7dR9VKbuozJVPPNKdYY1NjUVZUwFinDgtcMxKKKkbTZ/VGnMX06vvPKKLcDVt29fWw27sx4yydD95ctMS3OLNZ52Uy8oRSnZCA1jJEIj/VzoTGMjXptRjMAIMypL9yBC44MPPrBtfPTo0aZ///5ZQ/dXLF9u+wJzIfledS5U1IQeAOwkKSGVqeZETaLt1H1Upu6jMlW89kpNtIXmo0Bmq1yc61i8WJCLx46E+4e5UETQIBfCRZXsyiBssskmZvvtt7cGe/EM6wyE7tfW1ZpES4sN3a9qy3+oKEopz4WVjsJTzRnzKjNnSkFe1md8J+pFhsKAzoXFw/pr6dKlZoMNNrDzoxil07VPyWmPAZU23Jr3tLUgo6KAGlF9hsll6NChQV9GrHBVpuWVprLcmPOGVRmz5/fbu+qXUE5UbafuozJ1H5Wp4qsxNZFI5obrTGEeORYeqamf4bkj51FSPSLXqedHCoTLkucUw6kzX+FGG23U6WNi1F+zps401NebmppupqZbN5W5oihJmPPsZiDGVBud0ZLcWEwHGzqM4dabb80a+2/Npdw5dC7sPOIRzRz37rvvWs9TojUyweY2cyFRSN2699CNbiUtOpL5DB149uzZGsoXVplWVJoulWXm9+O7mt//7o72nhwl5Imq7dR9VKbuozJVggrxJ6SRBXYx4XUcSzwgMKJKCCQ/NWxPyVZIDyPqxx9/bN9vttlm9lWMgllXS7jiMoOaqKH7iqLkF+KfPd2NzJuAU4pNj9PcnCx6pyh+MGPGDPPpp5/aDez999+/w0a2QFsm7ylFFKsqqzR0X8mKGlEVJVM4f0tKJcYS8kRVFEVROiLeooQ2mjT5Um+55RZz3XXX5XWsf/3rX2bzzTc3PXr0sHksJbyMEEg5ZqaqyH6zyy67mFdffbXgv1u8eLHp06dPUfKW8HQ3rscJBsmdd97ZeveEGbxieNEWZs6caerq6mwBjJEjRxal3OFNhrfN8uXLbHuj0nCPnr3UG1pRlPznwraIvWxzoaQXkZQ2svEt33fOhVRHDzM6F0Ynzc2sWbPs+912281sueWW9n36olHNpnb1arNixXJTVl5u+vZr3UhUr2klG9o6fIYJZ/DgwbpIDatMyyvthP5VXYv56ovP2++stpSOEVXbqfuoTN1HZRod3n77bbPPPvtY48+2225r/vznP6f9Hh523/ve98xWW21lv7vXXnu1UxAeeOAB69GCsiUvlJNM4K33ne98x4Y5czwqlV9xxRVWaZDjHXjggR3+joX2J598UpACSbji7bffbs4///y8ZHLZZZeZ+++/39TW1pq5c+ea7bbbzh6Xe+LYGM0oQiXGVL+8U6+++mrz/e9/v91nc+bMMXvvvXfBx+I5rlixotPXwj3/7Gc/M2eccYYr1+OEcL6DDz7Y/OlPfzJhQ7xN4c0337ReNLSJAw44wLaPYo+NoR7jaWNDg+nVq7fp1bu3VhpWFB+I7VzIOswaSJvM2ixzIdeMMRAw2uGVylx43333tZsLw4DOhdGCzcYFCxZYWdHGSXcD6YzPySgMWzRqmf0bPE/JA06KCkXJhRpRfYbdjrfeekvDT8Mq0/JKs6bRmI1uqzMbbbmtVYotTm+gEgnn13bqLipT91GZRodTTjnFHHLIIVaJwOvk4osvNvPmzevwPULZt956a/Pyyy/b71500UXmyCOPtMqVMHbsWPtveaGcpAOPFpQLPGDeeOMN6+05ceJEW5yBvFhu4DSm/ve//zHDhu1hevbsmZfBE4UX7490x5TjogjwHuUAD0RINaiGyWM1anzrW9/KaMQIKucdUDWYVCUwbNgw2yegKM9Te/y1VmGsX7fWKou9evexVbUVRfGH2M6FpLuprLQGqMf/w1w4zM5f2eZCzk9oNXMhnoLFruV0LozHXFgotG82BlkzobezXqJtbbjhhmm/39IWhcFcyAY4RaN69tIoDKUw1IgaALIDp4RQps5w/nSh/PY7pdFttJ26j8rUfVSm2RWKuvq1nr/yMRguWrTILtIJj9pjjz3MoEGDzPz58zt8j6q+V155pVUG+e43v/lNq2ThXVAov/3tb82mm25qFQNRLskdyfHHjBmT1zE+++yzdp4+tDcxaDnBuPX88y+Yfffdr9Ubp6nJfP3112b8+PG2EiyL+bPOOivpXcixUBjxBhoxYoQ59NBDzYcffpg8D6AUXHjhhfaaBw4caH73u9/ZzzG0nXrqqeaCCy4w48aNs8oCRrdUpk6daguvEULI/ToVda6X4yEXvDVuuukm+/mkSZPM9ddfbx588EF7HVwXiDIPp59+uvnBD35gc4vxHRT7r776yhx//PFWaeZzKuDKcxcPR7yonLJEoccIAE8++aTZddddrQGaCvP//Oc/7eeTJ0+21/bQQw9lvB7kgccT98H9/PKXv0wq0ngSnXzyyeaEE06wxyYE/qOPPkrKYfjw4eb99983n3/+uQkKnjPgEcYzoz9xf1I0r1gP0VbP0zVWYVy3dq3p1q27Dd2v1mIZSgkQpnmwFOZCrvX55583++67rx2H8UxdmmEuZPxhXGYuZB7E2zbTXMh8xzVvscUW5je/+U3yfMxHOhfGYy4sBDyYZUOBSA2idmh7POdMOU/JZY/nqY3CaGw0PXv2shuJlZW6kagUTixidxiYrr32WjNhwgSbA4NBlpAF3N6dHYndNgaX119/3Q7iKCeEEPgJuxw77bSTr+eMO67KFIUinRu/hPLb78R/p0rbqfuoTN1HZZqdNQ3rzMAf7u/5eT64faLp3iW7MZv59i9/+Yv5xS9+YcOT8TxBYcrFwoULzbJly9qF97322mumf//+ZuONN7YKzDnnnJP2b/G0Oeqoo4oyFLGekIU6yshhhx1m82ulg/xb3/jGN6w3DlWL+f45Z59tDn70UetJdMQRR5i7777behRxTK4LhRilEIWNsEGUGOHSSy+1hrX33nvPeg4ddNBBVrk6/PDDbdt/+OGHzb///W+z5557WuUMzyUpfIXixr3fe++9VrG77bbb7L9RHkWRQ1nD2xHlGGUPhZ5w8Z/+9Kc2fDObVwqK3YsvvmgVtVGjRtlqt3z/b3/7m73PO+64w1xzzTXt/gZPKJEl3iL8+6STTrL/RqnDKwul8dlnnzUnnniiVcJReJHDF198Ye8lHaz/CGnk3lCkCEnlulBw4bHHHjNPPfWU+fvf/27DY1EmUYwBedG2WB9iZPALrlMKVrB2Rf6EVPKTz9wIraf94XmK4ZRCMFQZZk2shlOllAjTPFgqcyHzynHHHWfHV4zLTc3N5pxzzjYHH5x7LmQ8xMjKXIihlVe6uZBUThwHmAufe+45ez2pxmydC8M9F3YmWgMDPukpeM+aSDYcM4GRno3E+nXrTFV1tU1hoxEYSrHEwqWOHTwG9D/+8Y928Lj11lvNH/7wBzv4CQy65PsYMGCATczPbg6Dxz333OPrtaLkYMSVKrxKCGWazhu1nSdq/I2o2k7dR2XqPirT6IDXBB4UGI5QNG644YacC3W8T9gQ/clPfmJ69+5tP0ORQNnB24N8onhaYEhMB8qT5MQClCc8UfDi+NWvfpX8HA8PPne+0sHGLItxvFPSgXIonjNlZeU299zRxxxjvUw22nBDc+aZ3zcvT52at7LA/d188832mCiw5557rlWuRBFGSd1vv/2sTFGACPeXcMb//ve/ZsiQIdaoi7Lwox/9yCpr9BcBueItw0YEedYeeeQRky94s1DQAoUPZRqPWhQ9jHTHHnuseeedd7L+PQZjFFXuSZ4rx8CThOOhGBF2CrmKO6BAX3XVVdYIicLIvaIkCijDKMYozHhzpV4b97By5UrjNRhAWIsCiipGAa6J0F48qNwyntJG62przfJlS623DcWievfukyzsoihKcJTSXMh4w/iNkfeoo442Xaqr2+bCM5Pek6k4x3vmNf7N/WEgRGbOuVBgLiR9AONnqnHs6aef1rkwZHNhofC8WNvQrmg3vMfgi2yygW6wevWqZM5TIjDUgKq4RSw8UQkR4CWQqJsdLXa5UEDgr3/9q3X9JnE1AxsDHsm9CXFgx8svmFAY3HQhG2KZqieqtlMPUJm6j8o0O92qu1rvGD/Ok8t4hPck8y9KBZudzNksgFEe0oHxB+WEhTIhh8I222yTfE84Gt43jz76qFWiUunXr5+NThHweuGFt47T8I7SgieJk9Q2hXKKgoLilSlvFsqtM18dniBEv+BZg/FMQhY5dy5lCMUYxdmZMxXjKAVJBLx25Dr5KflTOQ/eMyhRnIt/Y0Aj5xyeNoJUq5X3uZQ9JxiIBbxCUv/tlEMqVG3Go8ipRPP+8ssvtx40rcUe6qziL4bFbH2ce3LmAmSz3HmfKPACxsrUa+M5iWHCbWj7PEcqT/NMkQ3PCeOJ3JNbBZ141nid1te3edtovlNFCc08CDoXtp8L+ZltbGdslHyXGEkF5gjGUOdcmO/8wNyrc6H/c2Gh4IHMs+JFpA7pDjDqk7YhmwwwltJnmAsbGxtMl65dbcEozXequE0sPFHTwU4Kk4ZA/hE8Npzh/ez+Y2yVyoTpOjCDvbwYXEDyizD4SxJs53tRWuS9fJ/3dHwmQmfyazq7872EIsh7GRCc78H5nr93vpdJMdN7rs/5Pt195HtP6d77eU+yIyXXUOw9JRyeqMnPUzxR4/6c+IwcfExecbmnoJ+TLHqZyONyT0E/J8ZTFolSybyz9xRXkA/hhV6/chmxyVFGfjfyhPGs8ApBAcLrJR08M4pvcFxCzbIdnzEqUy46PC6eeOIJUywouniJoDyS0y0TKMKEXAps0mI4Y8OWNQT/Bu5H2n5Lc7O9/tR75DwYPskNh/cFL47xzDPPJL+T+jfyb2RMnjTCRKX/8OLfzut3VnJesmRJ0hvKy00JlGg2t1H28SoSeN6nnXaaVfS5V/KzpY4DmcAzyXkvvOezfGAMoH3m8mjJBxmXMJQQ8QSMN2zgA95FouC6JWPkgtF05Yrl9mXKjHrbKEoI50HQubD9XCh5Kp36XK65EJ0dwypzoXNNl+/8wDmY75xzBP92vte5MBjsRmBbcUWM9LQZ+okzWiOTMZT2Y3N/r1hualevsgbnvv362wKKakBVvCCWRlTyqJAk+uyzz05+xmDk3IEB+bdzd87Jr3/9a7sjIy/Z6ZKKqewSSXJqQrNkwqBatCRrnjFjRnJwnjZtmk1+zE8mTIpOyEDKQAkk4xZjLSEIDCYMKryXwYX3wPf4PvD3HAc47pQpU+x7EkRzPuA6uB7g+rhO4LqlOmNn7kmSUHPOIO5p+vTp9t8M/m7cU2Nzot2OoL0nZ7XHsoqSeE7cu9xHXO4pyOfEzjbH5LxxuaegnxO78+SM4jvF3JPiLTvssIMNx/rPf/5jFYC5c+faQg+ZFuvM3TxDco2leunxvFlYA/nkyDdGfrN0UPWYOZdoE2mP5BNz5h3NZ0MWjyGUnUyeQgIeRU6PEtoqC3/WD+Tvuuuuu+znLOhlUd/SVoSKvHbcl3iGoBCjSBGORz9BQaDfSVvOJ2SUMYd+gwxJc8S1kD9VoDgHCi1rGjyjyL0GeNJwvfkWSskXFDoKWxAZlFpFGlkhAwx/KOhihATCUMUgnA5yyRHqiXLNc0ZBJ1QxHzgPm1v5KppOuB4MpLIpzrPnJ3LG81Rk6fQYcwsU3jV1dbZABj8pEiUKo1uerYqiuIvOhenmwtb7kiJUMhfigZluLkRurOUwskm6AH4yFosBzjlXyFyIzFkrMhfiIYpxUiClAnMhjlU6FxY+FxYDDmtsPAJeudImyRMr15LNCNrU1Ghqa1fbubChvt50q+lm58Ju3bvnjPhRlKJIhJjLL7+cUSLra968ee3+5pNPPkkMHDgwccYZZ7T7/KCDDkqcddZZ7T6bM2eOPcbcuXPTnn/dunWJlStXJl8rVqxIfP3Vl4nGxkb7+6amJvtKfc/vne+bm5uT73ktWrQoUV9fn/y8oaGh3fuWlpZ273mlvgfne/7e+V6uMdN7ri/XfeR7T+ne+3lPyBKZ8l037mnttQMTpw2pTJx24lGJ2tra1s9Xf5FI/Kxn66sEnhNt/6OPPrLHiss9Bf2cON6HH36Y/Ls43FPQz4njffDBB/Y4nb0nfs+4LtcSZdauXWvnM36GjWeffTax2267JXr06JHYaqutEr/5zW+Sv7vuuusS48ePt+8Zy5mXu3btmujevXvyNWXKFPv7Sy65JLHhhhsmunXrlth+++0Td9xxR9bzMo5961vfSvTv3z/Rs2fPxE477ZS47LLLEl999ZX9/f3335844IADOvwd17BkyZLExIkT7Xvntey8885pz4Xct9hiC7tWgMWLFyf23ntv+zfDhg1LXHXVVYkxY8Z0OAdtmrZ48sknJ/r27Zvo3bu3/ayuri7xwx/+0B6Tz4YPH27lCKeddlri2muvzXrvXDsy79WrV2L06NGJWbNmtTv37bffnthyyy2tPHkGnHP16tWJzz//PLHXXnvZcx5++OH2+wMGDEhMnTo17bm5L+eayylT5F9RUZH8vLy8vJ0s5bn/7W9/S2y22Wb2nGeeeWbiwAMPtN+HL7/8Muv1rFmzJnHOOeckNtpoo8Tmm29ur0f6c+q1IRPWiMJFF11k5ZALGWOAdQHPC3mtWrXKPif6HetEL+F89fXrEivb1qIrV66w/5axU1GUVnQujN5cyHcYYzs7FzrXd3wfPQY4Zq65ENkxFzKH/PrXv07+LtfcU4pzoRv9jmdD+wbWG2+88YZ9L/NqLvgO51ixfJmdC1evWpVobNMLFMUvyviPCSnsROFplA3yn0qIPnk/yJlBlcMHHnig3Q7EqaeeaneZHn/88XbVCsmtwQ4IefVywS4ZifrZ4dDdjRhz4yBjVn1qzLmTjdm8reLfqs+NuXHH1nypv0yf/kFRlOgRp3EdLww8NPAmcIaHKf6Blw4eMc7ClvkiIXutKWQSpqy8zBaowsvG7bBCjoenijOXnHhWsqbiPWsmPIdaQ8brrfeOXKNffYVz4Z0rRUrcBK8mcszigSP9RdIscH+Skw2PILyDCClFNsgIrzCRgZf9zla2JiWArVK9zsqgS5euNs+bhigqSnp0LozBXNjSYiM18JlyzoP5zAOSa5UxmnmMuYtxnLGUcdN5jHRzYRjxey50u98xtxL1Qp53ngORYHgD57uWaE1n0GDnZeZDnmPXrjU2CiPqa3clmoQ65mfDDTe0r3wgTIGcLySepopfaofCLZxqguQTkTxRL7zwgs1RlY8B1S0YOAgzJQeOhlyFVKYVbXnEWpo6FpYqgaJSoO3UfVSm7qMyVcLGpZde2um/FQVRctuhdLQa9QpXIjt7fgyF8h4DKj+deerocxT5oDgS6yn+jYIq+YVRbNLltSsGuSY3kGtDriij5PiTMFCUPn7ye+7JKWun4urMre8VyBOjaf26epNItJjq6i6mZ89eprKqSgvpKYoS/7kQY6cjp3dr7tT1c2S2cdC5wSRjN8cglQL/Bhnzo4Sbc6ETCjYxF7oFcyrPiLmSmjSksSBFAet01gzI3ZlaqJBNRIym5P3WNb8SNLEw3WNAxQOVvCLsfOHBSp5TZ67Tb3/727Yzn3HGGXageOSRR8ztt99uLrnkEl+vlUFFCvYo4ZRpoqzc1DUkTF1t7fq8M1JYCk/UEkDbqfuoTN1HZarEFSmgwKu8bd5BiZSCaH4EEYmSSv8SZZNN6J49eyY/F2UVRQcPEVFOUVbBeo20FVbC6OosSpcsrtVWUCTTNbB2S6cwi6FZlGxnMTk5J5/JtfCZ5Jx1Fnxy3gfGU17AeUVR88Nw2VoYY60tELVi+TJ7jeR1s7lOe/Y0VRnkoCiKEkfEYCq5U2WtRx7x1kKluedCMbjyYvNPNimdm30yR6zfuAwf2ebCMMDzkDmY/O1EBwPOarJmwAs1H8M1uXHXrKkzK5YvN6tXrbTPik3EPn37me7de6gBVQkFsWiFeJSSiJhXqju+DK54VFCM5Pzzz7feqlT7u/LKK22SbT9h8JaCA0o4Zbqmqdz0uKnWmJvGWYWLSpql5omq7dR9VKbuozJV4o7TGzKRWK/8oUQah2dqoR6qxRhh5TzOAllODxnne6fHkBh/+RsMrRhkUQopICKh8oTNo2TxOwnDxLDI3+FBxPEocIIyDHxH3qMIo6xJFWOO5zSQoniJ8sXvxKPUqZD5qaDa59jcbBobGkxDQ71VQCsrq2y4fs9eGqKoKIqSdi4UQ6gN+V8/F8qYmWsc53sUugLZmASJrkDvk002SW8TtPGSa2B+ZI4L8lrE0My8iYzsZl+3bu02RimUJvLt169f/h6nDfV2PuRYbBqyiRhmw7FS2sRihXb66acnFYvUl5MhQ4bYKogs3j/55BNz+eWX+36tDBJSoVsJqUzL0+wtlJgnqrZT91GZuo/KVClZrxxHTs5WD9WmpBITdKp7rkuuDWOoGCkxjorhEiVV3mMclTRLKF7yfb7DvWJI5b0cU5RISTkg58OYKh68dvOz7VrEqOu8rqCwBt6GBhvpgpcNXqco7uQ47duvn+ndp4/pWlMT+HUqiqKEfi6srHTMha2bi2IUzXculLzXwFwhxj+n4Y4NOmwHgOFQjK5+z7USJeEHzugO7le8dVtTzbRGnTDXyjwuG6GQz/xlc7DX15va1attXQI8TnlmNd1aoy969eptj6kGVCWsxMITNUowsAwePFgXyGGWqeREdSLhHWWl8dy0nbqPytR9VKbpCdqIpgTnoZosSsXv2wpTyffDivPanLns5H1q/w5bQaVc/Q2ls6mx0TQ0NlgDKpDjFEOvhugrinfoXFhKc2G5SZQ7c6h2Lp+4fEcMq6nGS44rcxKeoVK0iogJjIjMT+kKWLlxn85rcqtvcFwplsj7ZASmI7pDNieBa5DrSJ2Ls6VCkMgLOxc2NNgiUaQqqu5SbXr26mWjMHQuVKKEGlF9hoF3o402CvoyYoXrMk3nbVpinqjaTt1HZeo+KtP2sLBlEUpecIoy6oK0NGlVIltMoqUtIqdMFM31ofVRaRsoZYT7Oz1RwwTypb85FVxRFBvbXngK4y1VXVVtuvbqnVRWFUXxBp0LlVYjIcbUtnnQzoWdT4GTLv+nFEpizMcwKGH/TkMk8xfRFvwOb1aMruLlidHVGR4vBuB0c126udBpCBUDJr/j2GL4lCJPHB9Dr0SHOFPncFzeS75YPE0lB6t4nYJ446aTNeehv0lBKafRtHUubJUPxRGZC22kieY2VSKMtl6fYSAh/HTcuHGu7iiVMq7LNF04f4nlRNV26j4qU/dRmbaHBTN5wUlXs2jRoqAvRwkJokBalRIljw8dCmSYDQzOAiBhvs5NNt7YrF2zpp3RlDGpe4/u1sMmjAZgRYkrOhcq6XCm+mudV3jnzVz49ddfJ88n7zFuMi9g8LRpXLp0aTU0NjUl3/M5Bk0xzvK5vOdvJbc4hkpn3lbey2Yex+A9xlLeSxog/lbylHuR55Xr3nijjWy6GqfRlGvqWqPepkq8UCOqzzCIjRgxInThaFHGdZmqJ6q2Uw9QmbqPyrQjeDxsv/32duGsKKmIItda3bjRNDYxtyWS1Y8rKyuS71XZaY+EiJJ/1laGbsu9Z5VSUieUl6nRVFFCgs6FSjakACHzoJ0Pm5sxp5qKtjkQAyQ/CTn3cy6UdAGtG3It1oiKgZT3GCmdhlOnsdRPxMtUDMAtzU1JD9qWRIsaTZWSQI2oPsMAk0+lOiVAmZany4laWp6o2k7dR2XqPirT9DirpitKTsNgmyIkL4o9JBLrrDelrWhf0aZMWoVyfUoAP0BJfP75583BBx/sq7d5q7G0uVU2bUZTFG3khYGZcMTKmlb5ICdVFBUlfOhcqGTDmeu01TC4fh7kRQ7r1rD49WO9tCmvoyMwmDrfp5sLnd/xAutJ2zYXNrc0OzZgWwtOIZOuXbqYysrW0Hy388AqSphRI6rPBKUQxBm3ZcpEcPxOlcZsscf6xVeJeaJqO3Uflan7qEwVpTisgtimHHZp53G53rDa0FCfrHYM4qkqymS5h0olStq+++7ruqeNs/iIGEtRoMW7RkId7T0iGxRFcriph66iKErsaPXoJF/o+rVkMq9nEx6rTaZ+3TprTMSwKPODzH8yL8pGY+Tmwra5r/2r1Vgq6QC4v65da9RgqihqRPUfrwbBUsZtmXbt2sX887gaY469kH+0figVB0skRE/bqfuoTN1HZaoo7iOeN7y6iGXVoVA6lS02MlqNjuuLWrSGt7f+bPcqawt7R8FsrXaVUwnj97169cp5zc48d04DKcpuS9pXc/L4SSW4vMJUVVW387pVFEVRShMJlU9dY1rvzJb2Bkcbct+2AQfr576KtPNianEr9+fClnZzofOVOi/K8den9ak01V26tPO6VRSlPap5+ky+g6ASoEylsFRLY8mG82s7dR+VqfuoTBXFP5K519JsWnRU1Fo9V204fFtuN6u8tSl47Y+bolC2/j953GXLltm0HbYYhv2Q/7cVy3K8Uq+V4zqNuFx7qjIb9oJViqIoSrhg/qi0c0r7CKjkfJRm4460MC2N642Y6eYs2Vhcv9GYOhcuN/369W0/F8o5+V9bEcnU46bOexVVVR2MvDoPKkphqBHVZ/DaePrpp81hhx2m4adhlankRG1pDWMo1XB+bafuojJ1H5WpooSD9V4suedIp+EzaQBNMYY6/7vpZpvJWZIKZTtlM81LURRFUfwkOf9gqMzj++nmQuecaL/j+O+mm23aYS5cv/moc6Gi+ElZIp1bgJIWdo+WL1tq+vbr3+kwL8S9bt06mwxaBzd3cFumdQ9+x/Q4/a/2fW1trenevbsx70805oGjjdl4F2MufNXEHW2n7qMyDadM3RjXFUVRFEVRFEVRlPijGmMAaP6+kMtUwvmdlJgnKmg7dR+VqfuoTBVFURRFURRFURQ/UCOqz1Ddj/BTfiohlWk6I2qJ5UTVduo+KlP3UZkqiqIoiqIoiqIofqFG1AC8psjfp95TIZZpRZrcim2Vh8lzUwpoO3Uflan7qEwVRVEURVEURVEUvygNi1DIUK+pkMs0Xch+iXmigrZT91GZuo/KVFEURVEURVEURfEDNaIGoPA///zzqviHWabpjKgllhNV26n7qEzdR2WqKIqiKIqiKIqi+IXGQPpMVVWVOfroo4O+jFjhukw1J6q2Uw9QmbqPylRRFEVRFEVRFEXxC/VE9ZlEImFWrVplfyrhlGlFVRdz2MAKc9iIgaaioqK9EbVEPFG1nbqPytR9VKaKoiiKoiiKoiiKX6gR1WcIO506daqGn4ZYpl27djVPfbObeeqq4+z7duH8ZaXRZbSduo/K1H1UpoqiKIqiKIqiKIpfaDh/AOGnhx9+eNCXEStcl6l4m7Y4DDMl5omq7dR9VKbuozJVFEVRFEVRFEVR/KI03OpCREtLi1m2bJn9qYRUppITtdlhRE20lJQRVdup+6hM3UdlqiiKoiiKoiiKoviFGlF9prm52bz++uv2pxJOmdbVt5juN6423b95l6mrqyvJwlLaTt1HZeo+KlNFURRFURRFURTFLzScP4Dw00MOOSToy4gVrsu0otKsaeSN0xO19ML5tZ26i8rUfVSmiqIoiqIoiqIoil+oJ6rPEHb65ZdfavhpmGWazlBaYp6o2k7dR2XqPipTRYkGU6ZMMUceeaTZbLPNTFlZmXn88cfb/b62ttZccMEFZosttjA1NTVm5513Nn/4wx/afWfdunXm/PPPN/379zc9evQwxx13nPniiy/afee///2v2WGHHcyOO+5onnzySV/uTVEURVHyQedCRYkHakT1GZT92bNnq9IfZplKTtR2J2nzSi0vjS6j7dR9VKbuozJVlGhAapzddtvN/P73v0/7+0suucQ8++yz5i9/+YuZN2+eueiii6wiiSIoXHzxxeaJJ54w//znP83kyZPNZ599Zr7xjW8kf19fX28Vy7vuusvceeed5txzzzUNDQ2+3J+iKIqi5ELnQkWJBxrO7zOVlZVm3LhxQV9GrHBdpuVVHT+TwlIl4omq7dR9VKbuozJVlGhw6KGH2lcmpk2bZk477TQzduxY+++zzjrL/PGPfzQzZswwRx11lFm5cqW59957zd/+9rdkn7///vvNoEGDzGuvvWb22msvqzhWVFSY3XffPTk+8Fl1dbVPd6koiqIomdG5UFHiQWm41YUIPKY+/fRT9ZwKs0zTeqKWVk5UbafuozJ1H5WposSDUaNGWU8b+nMikTATJ0407733njn44IPt72fOnGkaGxvNgQcemPybnXbayWy11Vbm1Vdftf/u1auX+e53v2s23XRTGyqJ903Pnj0DuydFURRFKQSdCxUlGqgR1WdQ9j/44ANV+sMs03Qh+yWYE1XbqbuoTN1HZaoo8eB3v/udzf1GHji8ZcaPH2/DHffbbz/7+//973/28z59+rT7u4033tj+TrjqqqvM119/bZYuXWouu+wy3+9DURRFUTqLzoWKEg00nN9ncKmXgVAJp0zLK6rNmK0qjKnpY8rFoJoQT9TS6DLaTt1HZeo+KlNFiY/iSCgiHjgDBgywxTfI6YYXjdPjJh969+7t2XUqiqIoilfoXKgo0aA0LEIhAo+pJUuWmC233HK9gU4JlUxrunc3k07pZsw2I42pqSnZcH5tp+6iMnUflamiRJ+1a9ean/70p+axxx4zhx9+uP1syJAh5u233zY333yzVRw32WQTWxhjxYoV7TxwqEjM7xRFURQlyuhcqCjRQbVOn9EcfhHKidrStP6zpCdqaXQZbafuozJ1H5WpokQf8rvxSt0IoTCG9O1hw4aZqqoq89JLLyV/v2DBArN48WKz9957+37NiqIoiuImOhcqSnRQT9QAwk9JGq2EWKZiRG1uLNmcqNpO3Udl6j4qU0WJBrW1teb9999P/vujjz6y3jX9+vWzBTHGjBljfvzjH5uamhobwjh58mTz0EMPmd/+9rfJsMQzzjjDXHLJJfZvKJxx4YUXWqWRasSKoiiKEnZ0LlSUeKBGVJ9pbm62A+Y222xjd5aU8Mm0bl2j2frWWmPKXzaLTqkz3bt3NybRUlLh/NpO3Udl6j4qU0WJBm+88YbZf//9k/9GAYTTTjvNPPDAA+bhhx82P/nJT8zJJ59sli1bZpXH6667zpxzzjnJv7n11luth85xxx1n6uvrzSGHHGLuuuuuQO5HURRFUQpF50JFiQdliUQiEfRFRAVc6ZcvW2r69uvf6fx7TU1N5q233jJDhw61XlRK8bgt07p3nzI9djsiuWNojajP/sKYl283Zp8LjTn0OhN3tJ26j8o0nDJ1Y1xXFEVRFEVRFEVR4o9q8j6Doj9ixIigLyNWuC5TCed3ksyJWhrebtpO3Udl6j4qU0VRFEVRFEVRFMUv1O0mgPDT+fPn259KSGWazohaYjlRtZ26j8rUfVSmiqIoiqIoiqIoil+oETUA1q5dG/QlxA5XZZrO2zTpiVo6XUbbqfuoTN1HZaooiqIoiqIoiqL4gYbz+wzFT8jfp4RYphVVptQ9UbWduo/K1H1UpoqiKIqiKIqiKIpflI5bXUgg7HT27NkafhpmmabzRG1pyfy7GKLt1H1Upu6jMlUURVEURVEURVH8Qj1RFSWF8opqM3zTcpsbNVmtO1FanqiKoiiKoiiKoiiKoijKetSIGkD46eDBg4O+jFjhtkxruvcwr3+vuzE1fYypqWkfzl8inqjaTt1HZeo+KlNFURRFURRFURTFL9SI6jOEnb777rtmyJAh1gCghFCm5ZXtDaftCktVxEZmjY2NWX+/YMECs+OOO2o7dQmVaTAyraqqUnkriqIoiqIoiqIoRaNG1ACoEe9GJZwyTRpRm9IUlop2GuFEImH+97//mRUrVuT8XmVlpfn4449NWVmZb9cXZ1Smwcm0T58+ZpNNNlG5K4qiKIqiKIqiKJ1Gjag+g0fUTjvtFPRlxAq3ZbqmvtHsfGetMabOzP3xGtOtW7fYeKKKAXWjjTay96VGJSXuRtY1a9aYL7/80v570003DfqSFEVRFEVRFEVRlIiiRlSfaWpqMm+99ZYZOnSo9aBSwifTRFm5+Xhlgncm0dLS+qH8jHBhKUKfxYDav3//vIxPamh1D5VpMDIVL3UMqbR9De1XFEVRFEVRFEVROkO0Y5MjCIp+37591YgSZplKOD8k2oynMfBElRyo1rM2D9TY5D4q02BkKm0+Wx5gRVEURVEURVEURcmGukIGoPBvt912QV9GrHBdpk4jquRFTeZEjb4RLB9jM9/p2rWrL9dTKqhMg5OpblopiqIoiqIoiqIoxaKeqAGEnk+bNs3+VEIqU6cRtbkxNp6ohYZJ19bW2p+KO6hM3UdlqiiKoiiKoiiKoviFGlF9pry83Gy++eb2pxJSmWb1RC2d51ZVVWXCwNixY81FF11U9HEef/xx67GM57IbxwuLTE8//XRzzDHHFHWMSZMmWW9NcuZ6ydZbb21uu+02V4/5ve99z9xyyy2uHlNRFEVRFEVRFEVRUikdi1BIwNA3YMAANaKGWabZjKgl4omKQa1Lly6xCoM+++yzzfHHH2+WLFlirr322sjJdNGiRfZv33777Xaf33777eaBBx4o6tpGjRplPv/8c9O7d2/jBlxPnz59Onz++uuvm7POOsu4BfK48sorzfXXX29Wrlzp2nEVRVEURVEURVEUJRW15PkMIedTpkzRcP4Qy7SsosLsvEG5fZUlC0u1xCYnaj4QHr169erYhEkT8k119kMOOcRsttlmpmfPnp06TkNDQ+hkiuEzncGyEKqrq80mm2ziudF8ww03zLuwWT4gSzZQBg4caP7yl7+4dlxFURRFURRFURRFSUWNqD6DtyQKv3qihlemGHnmnNvbzDm7u+lW0yW2nqgYoBqaGjO+yirKs/6+mFehhkQM5BdccIE1GG6wwQbmF7/4Rbtj1NfXm0svvdSmdejevbsZOXKkDVEHforRdNy4cdZQKL/797//bXbZZRfrIUqoeWpYOJ/htXrqqaeaXr16Jb0oX375ZbPvvvuampoas+WWW5of/OAHpq6uLus93H333Wa33Xaz59pxxx3N//3f/7X7PdfFdw499FB73G233db861//Sv5+m222sT+HDh1qv0uag3Th/Hx+4YUX2pQFffv2NRtvvLH505/+ZK/vu9/9rpUFaQ2eeeaZjOH8HIN/p77whoXf/va3Ztddd7Wy5v7PO+88a6iWY3EePEPl766++uq04fyLFy82Rx99tOnRo4eV74knnmi++OKL5O/5u913393Kir/l+X/zm9+0xmgBeR5xxBHm4Ycfzip/RVEURVEURVEURSkGR9yy4mf+TiXkMpXcpy3iiRo/I2pjc5O5/ZniwsA7yw8PPd1UV+afH/TBBx80Z5xxhpkxY4Z54403rDFzq622Mmeeeab9PQbWuXPnWkManqaPPfaYGT9+vJk1a5YNVV+wYIE1XGI05d/9+vUzM2fOtEY7DHUnnXSSLU6GMbB///7WMCncfPPNNmT8qquusv/+4IMP7LF/9atfmfvuu8989dVX9vy87r///rTXz/Vg1MSAeOCBB5onn3zSGhq32GILs//++ye/h3H4N7/5jQ3Rx3CIwZB7GDRokL33Pffc07z44ovW8Iv3aDZ5XXbZZfZvHnnkEXPuuefaazj22GPNT3/6U3PrrbeaU045xRox03mGPvroo+28bs8//3wzZ84ca5CVPnfHHXdYw+6HH35o5cb57rrrLitf7hOZIXfASJpKS0tL0oA6efJkayjnPDwLMXKLvMlni8yWL19unxkyuu6666yBFjlgNCekH2M6RlVFURRFURRFURRFcRt1h/QZDAUTJkzQcP6wy1SMpWI8TRaWio8RNRcYpMIC3o4Y/jCEnnzyydbTkn8DhkCMl//85z+tdyheyXiljh492n6OkW2jjTay38V4Stg6n+FNecABB1jD5Q477GANpxhCb7rppnbnxnv1Rz/6kT0ur1//+tf2GjCKbr/99tZoiEHxoYceMuvWrUt7/RhiTzvtNPOd73zH/s0ll1xivvGNb9jPnZxwwgnm+9//vr0ePGCHDx9ufve73yVD4QEjL/fAvWQCj9ef//zn9lw/+clPTNeuXa0HL0ZnPsPAuXTpUvPuu++m/XuRE6+///3vtn/997//tR6ywL1j/MU7FPlgUP7HP/5hf4ds8RjFwCnHSGdEfemll6yB+G9/+5sZNmyYNYQiQwyq5E51GlvJsTp48GD7fDH+8reAN/KqVavMpptuao2+//vf/zLKRFEURVEURVEURVGKQT1RfQYPLowBGs4fXpmuWbPGjPj9MpsH9fWza023vvH0RK2qqLQeoenAOIVRurKy0pM8mZy7EPbaa69217H33nvb0Pvm5mZriOMnhsdUIzAGx0zMmzfPekI62WeffawXJcerqGh91hgynbzzzjvW+PjXv/61nbww9n300UfWazTduTBgihFSzoXHqRPuK/XfqYWk8mHIkCHJ99wHciD8XhCPUvLEZoOQ/yuuuMI88cQT7eSLNyzG5Pnz51sjJm0FAzJ9J9+cp8gE4zgvYeedd7b5XfndiBEj7GcYap05bDGYOq8bmYpcOb+iKIqiKIqiKIqieIEaUX0GQ594xSnhlCkGsblftXq1Jlqa2of1S5h/DLCh0FlC6rtUZQ4XDxPk4sRQSHi+GD6FdB6QhULez9TznX322TYPaiqkGMgm76qq/FMYFEPqeVLPLQZpDL+ZID0C6QQInT/44IOTn5MXlRykpAggpB6vVXLEkm4Bb1A3C0dluhe5brkvwvyd3rqKoiiKoiiKoiiK4jbxsQhFhMbGRvPcc8/Zn0oEZBrjnKjZwEhFYaBsRjY/mT59ert/v/baazYsHaMphZbwHMU7kYJJzheh5JnAY/SVV15p9xn/xuMy1RjrZI899rAGxtRz8cqUp5RzYWh0ypRz4XmZel+p/xbPVjk29+o1X3/9tTnyyCPNcccdZy6++OJ2v8NYzT3gCYyHMPL67LPP2n2Ha811ndzXkiVL7EtArhS3SpVLrnaKZzD5ZUlZoCiKoiiKoiiKoiheoJ6oPoNxhjDVbEYaJUQyTbSUZE5UPPzwwPQilL8zkPeUPKJ4gL755ps2TyhGPMCIR47SU0891X6GUZViT+TNJKz98MMPT3tM8pzSbsg9SjGjV1991dx55522OFI2Lr/8cms8JH8q+UuRE8a/F154wf59On784x/bgkjkKsWrkyJJFG8iLN4JeV1JH0A+V9IFUBjq3nvvtb/D25qw9WeffdYaDMlzSu5RL8B4ikcpRbeceUbx9MRYzIYFzwBDK8bgP/zhD+3+nhB8PHZ5Btwzx0r1UKXAFikGeHakUCAlAAWqxowZ0yGFQq52yjU4vWUVRVEURVEURVEUxW3UEzWA0HPCXzUnalRk2lySnqgYp7zKh9oZMJCuXbvWVqengvsPf/hDc9ZZZyV/TwEpvoNhlOJTxxxzjC1OlC28Ho9SiiE9/PDDNqcuxZZ++ctf2gJT2cAwS/Gj9957zxY6wmjL32622WYZ/4brIf8pxbA41x//+Ed7zWPHjm33vWuuucZeD+egyBJFncQrk+dBASv+lnOl5nN1kylTppjZs2ebAQMG2Byk8sJrFKMoRbluuOEGey8Ye8mP6oRiW+ecc441TmN4vfHGGzucg7b1n//8x/Tt29fst99+1qi67bbbmkceeSTv6+QYGF8ff/xxm3NWURRFURRFURRFUbyiLEECSCXv0NHly5aavv36d9pghwfX888/b72m/MqPGHfclmldXV0yl2btwldN9+32Mua2YcZ8vdCYM54xZpt9TBSh8A+Fj7bZZhvrxZirrVMwqFevXmrwd4lcMsUg+Nhjj1mDq5K/TDFM452LJ3Bn2r4b47qiKIqiKIqiKIoSf1Rj9Bm8yfBe46cSAZkmStcTlYroYfFEjQMqU+9kSmoBRVEURVEURVEURfESteQFoPTjiaaEV6Ycb0DfKmNamkxZMidq288S8VRDBpq3111Upt7I1JnWQVEURVEURVEURVG8ojQsQiELPScPoCeV5EsUt2VKAZxFPx9kFl3Qw3TrWl2ShaUIcaZKulSSV7yXKZlVNJS/MLSdKoqiKIqiKIqiKH6hRlSfIeSc3J0azh9ymUrYvhhnSjCcH+9eDT13D5Wp+6hMFUVRFEVRFEVRFL9QI2oAqAE1AjItK29vPC0xT1RFURRFURRFURRFURRlPWpE9Zmmpibz9NNP259KOGW6du1aM+KW+WbEfXVm7Zo1JemJSmg5leT5qbiDytR9VKaKoiiKoiiKoiiKX6hLZAAek4cddph6o4ZYpuRXfGNJXev75saS9ETVMGn3UZm6j8pUURRFURRFURRF8Qv1RA0A9UKNkEzFeJpoy41arl1GURRFURRFURRFURSl1FCLUADGvueff14NqVGRqRhPS8wTVcOk3Udl6j4qU0VRFEVRFEVRFMUv1IjqM1VVVeboo4+2P5UIyFSMMyWWE7W8vNz06dPH/owC8+fPN3vttZfp2rWr2X333U2UZfrAAw/Y7xULIe6PP/648ZLTTz/dHHPMMa4e8w9/+IM58sgjY9lOFUVRFEVRFEVRlOiimqfPqOdUxGQqHqgl6Ina3NwcmXZ61VVXme7du5sFCxaYl156yTVDpNcy3Xrrrc1tt93W7nsnnXSSee+994o+3+eff24OPfRQ4waLFi2yRtm333673ee33367lbWbfO973zNvvvmmmTp1auzaqaIoiqIoiqIoihJd1IjqM4ScYxzQcP6IyFQ8UEvMExWj1OrVqyNjnPrggw/M6NGjzYABA0z//v1dOy4GOgqN+SnTmpoas9FGGxV9vk022cR06dLFeEnv3r1dN1ZXV1ebb3/72+aOO+6IXTtVFEVRFEVRFEVRoosaUX2GkPPDDz9cw/lDLtMNelSZDbqVdfREjZMRFcNTQ13aV3nTWtOnW5X9mek7Rb0KMHo9++yz1kCKsQ4D6RFHHGGNpgIekjNnzjS//OUv7fuxY8ea7373u2blypX237yuvvpq+936+npz6aWXms0339x6ro4cOdJMmjQpeSzxYP3vf/9rdt55Z2uEXLx4cdrrmjx5stlzzz3tdzbddFNzxRVXtDPkcx0XXHCBfWFsxDB6yy23JCvJ8/uPP/7YXHzxxcnrdF6DwLWTouC+++4zW221lenRo4c577zzrIH3xhtvtMZSjn3ddddlDOfnGHIO50u8SHPJeJtttrE/hw4dmpRxunB+5PuDH/zAXg+pFTjm66+/nvw9subv8RYePny46datmxk1apT1IHZCOD/PYO3atVnbhobzK4qiKIqiKIqiKH5R6duZFAtebStWrFDFP8Qyxbj21e2HGPPhZGO6VnGC9b+MUzh/4xpjfrlpMOe+8nNjqrvn9dW6ujpzySWXmCFDhpja2lpz5ZVXmmOPPdaGlvO8CVs/8MADzfjx462BFMPc/fffb78nxjkMj4BBc+7cuebhhx82m222mXnsscfs382aNctsv/329jtr1qwxN9xwg/nzn/9sDYrpvEI//fRTc9hhh1kj4kMPPWRzsp555pnWcCgGW3jwwQfNGWecYWbMmGGNiWeffbbZcsstzVlnnWUeffRRs9tuu9n3/G02MGg+88wz1tjJ++OPP958+OGHZocddrDG3GnTptkweOSAYTgV5HLOOeck//3Xv/7VygdDZj4y5voxGL/44otml112sd6i6bjsssvMv//9b3vfeAVj5D3kkEPM+++/b/r165f83s9+9jNrUN5www3tdXHtr7zySvL3XBcG6enTpycNttnC+SsqKpJGaEVRFEVRFEVRFEXxAjWi+gwKP8aUcePGqRE1zDItK18fxi+h/KDPzHeOO+64dv/GIxPjG8bQwYMHW0/MyspKayjlPeD5iVFN/g14lGJc5ScGVDEuYpjk8+uvv95+1tjYaO666y5r4MwEv8cYeuedd9rz7LTTTuazzz4zl19+uTVASjvkO7feeqv9DkZaPGbJgYrhFKMixr+ePXu2u85MGwXcN9/FQ3b//fe3BuKnn37anmvHHXe0ht+JEyemNaIiGzEkv/baa+bnP/+5NXQiv3xkzHvAqJzpWjHE3n333da7VXKx/ulPfzIvvPCCuffee82Pf/zj5Hfxmh0zZox9jwcvnuTr1q2zRmjAEM4zxFM3GxhROS9yUSOqoiiKoiiKoiiK4iVqRPUZQs7xzFJCLlMxliZa1ofyx80Ttapbq0doUOfOk4ULF1rDJF6JX3/9dTJHKcZQMQLmA96mGNzx3nRCCLozjypelnhkZmPevHlm7733bme422effawX5yeffGLD7mGvvfZKfgdjJ16VGF7FezJfKECFoVDYeOON7d87Nw347Msvv8x6HGRG+D3G4xNPPNFVGeMhiwEaOTj7Jh6syMuJU76kQgCuXeQmuWHxCs4G94+xVVEURVEURVEURVG8Ro2oPoNxAiPFBhtsoJ6oIZUpeRgP/c3LxHWbZw5dZ2raeaLGyIiKcS9DSD0efoRT4+EZtIcf+TEJDcerEQ9SnjeGvYaGhoKOg4ETwyPeoKkGTPHSFOOdF/csMu0Mqfl+ub50n2UrgoXH5lFHHWWNv+SP9ULG+eK8dpF16rUvW7Ys6QGbiTC1U0VRFEVRFEVRFCXeqBXPZzAUzJ4927WK34r7MuU4k+d/bSYvpjJ7U3w9UXOQq6iPHyxdutSGrRN+fsABB5hBgwaZ5cuX5/w7vEnx9nRCUSQ+w+Nxu+22a/fKFU6fCtfx6quvtqsKT05PvEW32GKL5Gd4djrhO4T1ixE33XV6Adf5ne98x7bt//u//2tncMxHxpIDNdu1Dhw40H7PmdsUz1RSbZCCoBDwaiW8n2cWhXaqKIqiKIqiKIqixB81ovoMHlPk7uSnEgGZYkCNqydqFjCy9erVK3Dvvr59+9pQ+3vuuccWJ5owYYItgJRP+Duep1SBx0uZsHDC+E8++WRz6qmn2qJOH330kS2Y9Otf/9o89dRTBV3XeeedZ5YsWWIuvPBCW1TqP//5j7nqqqvstTm9oQmH5zOMlBSz4j5++MMftrvOKVOm2EJVXKdXUOyKolB//OMfrVz+97//2RcGyHxkTHEtPHTJH/vFF1+YlStXpi3Idu6559rcp3yPfKoUzEL2FNcqhKlTp5ptt93WGmaj0E4VRVEURVEURVGU+KNGVJ/BEwyDiXqiRkSmNidqS8l5ouK5SCi309MyCDBIYnwkBJ/w8osvvtjcdNNNOf9u1KhRtur7SSedZEPCqRIPFJDCiPqjH/3IFmMiPyieks5cnPmw+eab26JOGGEpQMW5MBTizemEc2GoJC/o+eefby644AJrWBQIq1+0aJE1FuYKXS+GyZMnW+MpciEHqbweeeSRvGTMBsUdd9xhjbCE+x999NFpz/Ob3/zGFqk65ZRTzB577GGNss8995w11BbC3//+93ZyCns7VRRFURRFURRFUeJPWUK1z7zBSLd82VLTt1//TufeJH/ftGnTrDFDvVHdwW2ZkjtScmTWTvyd6T78RGN+s13rL3+1ykQVwqPxvtxmm22SVdAzwbCA0Q05qJdf56CI1O67725uu+02+2+VaX7MmTPHepa/9957OYtG5SvTbG3fjXFdURRFURRFURRFiT9qxfMZjHz77bdf0JcRKzyVKXsMkhO1REL5AYOUsxq8Ujwq0/z4/PPPzUMPPZTTgAoqU0VRFEVRFEVRFMUv1IjqM3g9kUtxyy23VK+nKMjUhvM3l1QovzNMmkJB6jXpDirT/DjwwAPz/q7KVFEURVEURVEURfELNaIGlL+TnIpqRA2vTLt1qTSmpQkzzfrCUiXkiSqV1aUqu1I4kyZN6vCZytR9VKaKoiiKoiiKoiiKH6gRNYDQc3J3KuGVKVXG6x78jjGz/m1M1+qS9ETFq0/ywiruoDJ1H5WpoiiKoiiKoiiK4hfqCukzzc3NtmI1P5UQy7RMukb8PFHzqSXHdyjGo3Xn3ENlGpxMVeaKoiiKoiiKoihKsagR1WdQ5pcvX65KfdhlKvkVbWGplrbPot1dqqqq7M81a9bk9X019LuPyjQYmUqblz6gKIqiKIqiKIqiKIWi4fwBhJ6PGDEi6MuIFW7LFM+24379vDGr1ph/799gusbEE7WiosL06dPHfPnll/bf3bp1y1qMh+/X19f7eIXxR2Xqr0zZWMGASpun7fNdRVEURVEURVEURekMakQNwGtq4cKFZvvtt1eFPqQy5XhPv7Wk9T35UGOUE3WTTTaxP8WQmgmMT01NTdZArVXP3UFlGpxMMaBK21cURVEURVEURVGUzqBG1ABYu3Zt0JcQOzyTaaIlVjlRMTRtuummZqONNrJVzbMZkhcsWGAGDhyoxn6XUJkGI1NC+FXeiqIoiqIoiqIoSrGoEdVnUOaHDh0a9GXECk9lanOixscT1SmzXIalPfbYw7frKRVUpu6jMlUURVEURVEURVH8INqVctpYtGiROeOMM8w222xjampqrFfSVVddZRoaGtp9By+81Ndrr73mu+fU7NmztcBMVGSKETVGnqj5ou3UfVSm7qMyVRRFURRFURRFUfwiFp6o8+fPNy0tLeaPf/yj2W677axSfeaZZ5q6ujpz8803t/vuiy++aHbZZZfkv/v37x/AFSuRwXqitrS+L4/FnoOiKIqiKIqiKIqiKIpSikbU8ePH25ew7bbb2jx5d999dwcjKkbTIAuMEEI9ePDgwM4fR7yVaTzD+XOh7dR9VKbuozJVFEVRFEVRFEVR/CIWRtR0rFy50vTr16/D50cddZRZt26d2WGHHcxll11m/52J+vp6+xLwdgUJHZV/l5eXt3vP70kVIO/Ly0kd0PqeatJz5841O+20k6mqoqJ0ua0uXVFRnnxfSa7KsrL1740xTc3N7d9XVlovSXmfSLSY5uaW5PuWloQ1MGR6z/VyLfI+3X3ke0/p3vt5T42NTdYbedCgQfb6ir0nCi716NGj9bpM2/eqexhT1d0kmptK4jnR7pEpBirOH4d7Cvo50a7o+7vuuqv9bhzuKejnxHeJPBgyZAh/2ql74u+AzxVFURRFURRFURQlE2WJGGqO77//vhk2bJj1QiWsH77++mvz0EMPmX322ccq+f/+97/NjTfeaB5//PGMhtSrr77aXHPNNcl/48E6e9a7vt2HoiiK4g99+vY1FRWx3VdUFEVRFEVRFEVR4mxEveKKK8wNN9yQ9Tvz5s2zXp3Cp59+asaMGWPGjh1r/vznP2f921NPPdV89NFHZurUqXl7onbp0sV0qa5e775UIKtXrzZbbLGF+eSTT0zPnj07dQylPSpT91GZuo/KNKQyTSQM/8Mjlg02RVEURVEURVEURUlHqN1ufvSjH5nTTz8963fIfyp89tlnZv/99zejRo0y99xzT87jjxw50rzwwgsZf28Npl26GDch3LW2tjYZ9qoUj8rUfVSm7qMydR+VqaIoiqIoiqIoiuIXoTaibrjhhvaVD3igYkAljP/+++/PS6F+++23zaabburClSqKoiiKoiiKoiiKoiiKEldCbUTNFwyohO8PGDDA5kH96quv2uUxhQcffNBUV1eboUOH2n8/+uij5r777ssZ8q8oiqIoiqIoiqIoiqIoSmkTCyMqIfkUk+JFfjwnzpSv1157rfn4449tVWfyqD7yyCPm+OOP9/VaSQ9w1VVXuZ4moJRRmbqPytR9VKbuozJVFEVRFEVRFEVR/CLUhaUURVEURVEURVEURVEURVGCRitxKIqiKIqiKIqiKIqiKIqiZEGNqIqiKIqiKIqiKIqiKIqiKFlQI6qiKIqiKIqiKIqiKIqiKEoW1IiqKIqiKIqiKIqiKIqiKIqSBTWi+sTWW29tysrKOrzOP//8oC8tsjQ3N5tf/OIXZptttjE1NTVm4MCB5tprrzVaK604Vq9ebS666CIzYMAAK9dRo0aZ119/PejLigxTpkwxRx55pNlss81sH3/88cfb/Z72eeWVV5pNN93UyvfAAw80CxcuDOx64yDTRx991Bx88MGmf//+9vf/396dxkZVRmEcP0AFFBEFobihUtYQECWRoHVBxIqARbEiEmU1MSpaQlH4IPZD1YCggFiQiBQFihhTiSRKEQUUSV2giAZBlF1ADYtSNhXMc5KZzDDTodNqh4H/L5m0c+d27plrbeLjec9bWlqasFoBAAAAAGcmQtRqohBq165dwceSJUv8eFZWVqJLS1rjxo2zadOm2dSpU239+vX+fPz48fbqq68murSkNmzYMP/9fPvtt23dunUeTino27lzZ6JLSwplZWV2zTXX2GuvvRb1df2OTpkyxaZPn24lJSVWr149y8jIsCNHjlR7rWfKPdXr6enp/jcAAAAAAID/Q40TtO0lhDr9Fi1a5B1o6pxC/Hr16mWpqak2c+bM4LG+fft6d9+cOXMSWluyOnz4sNWvX98WLlxoPXv2DB7v1KmT9ejRw/Ly8hJaX7LRv9tFRUXWp08ff64/t+qmHDlypOXk5PixAwcO+O9xQUGBPfDAAwmuOPnuaagtW7Z4Z/qaNWusY8eOCakPAAAAAHBmohM1AY4dO+Yh35AhQwhQq0DLzJcuXWobN27052vXrrXPP//cwz5Uzt9//+1jEurWrRt2XMG07i2qZvPmzbZ7927v7A1o0KCBde7c2VatWpXQ2gAAAAAAQPlSYryG/4nm+e3fv98GDRqU6FKS2ujRo+2PP/6wNm3aWK1atTz8e/75523AgAGJLi1pqQu1S5cuPlu2bdu23iFZWFjoAV+LFi0SXV7SU4Aquq+h9DzwGgAAAAAAOP3QiZoAWn6ubkkt60XlLViwwObOnWvz5s2z1atX2+zZs23ChAn+FZWnWahadn7ZZZdZnTp1fH5n//79rWZN/lwAAAAAAICzE52o1Wzr1q328ccf+27SqJpRo0Z5N2pgjmT79u39/r744os2cODARJeXtNLS0mz58uW+WY86fbWLfL9+/ax58+aJLi3pNW3a1L/u2bPH72uAnjPDEwAAAACA0xetZdVs1qxZ1qRJk7BNe1A5hw4diuiO1LL+48ePJ6ymM4l2jVfQt2/fPlu8eLFlZmYmuqSkp02PFKRqlm+AguqSkhIfowAAAAAAAE5PdKJWI4V7ClHVJZmSwq2vqt69e/sM1GbNmlm7du18R+6XX37ZN+xC5Skw1XL+1q1b26ZNm7zjV3NnBw8enOjSksLBgwf9voVuJlVaWmoNGzb039Xs7GzLy8uzli1beqj67LPP+miPaLvNo2L3dO/evbZt2zb75Zdf/PUNGzb4VwXWge5fAAAAAACqosYJpSWoFsXFxZaRkeH/gd+qVatEl5P0/vzzTw+gioqK7Ndff/UgSrM7x44da7Vr1050eUk9a3bMmDG2Y8cOD6n69u3rYbV2kcepLVu2zLp27RpxXP/zpKCgwAPq5557zmbMmOEbzKWnp1t+fj5/E6pwT/WIFvLrPufm5lZTlQAAAACAMxkhKgAAAAAAAADEwExUAAAAAAAAAIiBEBUAAAAAAAAAYiBEBQAAAAAAAIAYCFEBAAAAAAAAIAZCVAAAAAAAAACIgRAVAAAAAAAAAGIgRAUAAAAAAACAGAhRAQAAAAAAACAGQlQA1eLYsWPWokUL++KLLxJWw+jRo2348OEJuz4AAAAAAEhOhKhAJQwaNMhq1KgR8di0aVOiSzttTZ8+3a6++mq74YYbwo5/+umn1qtXL2vcuLHVrVvX0tLSrF+/frZixYrgOcuWLfP7u3///oj3veqqq2zSpEkVqiEnJ8dmz55tP//883/wiQAAAAAAwNmCEBWopDvvvNN27doV9lBIGK0D82x34sQJmzp1qg0dOjTseH5+vnXr1s0aNWpk77zzjm3YsMGKioo8aB0xYsR/XsfFF19sGRkZNm3atP/8vQEAAAAAwJmLEBWopDp16ljTpk3DHrVq1bJbb73VnnjiCcvOzg6GdvLdd99Zjx497Pzzz7fU1FR76KGH7Pfffw++X1lZmT388MP++iWXXGITJ07099L7BKgb8/333w+r48ILL7SCgoLg8+3bt9v999/vxxs2bGiZmZm2ZcuWsC7aPn362IQJE/w6CjAff/xx++uvv4LnHD161J555hm74oor/HNqGf7MmTM9DNX3+tlQpaWlMTtxv/nmG/vpp5+sZ8+ewWPbtm3zz6aHukNvu+02u/LKK61Dhw721FNP2ddffx33PxPdh2gdwrm5ucFzevfubfPnz4/7vQEAAAAAwNmLEBX4HygUrF27tq1cudKXsWsZukLCa6+91sPBjz76yPbs2eNhZ8CoUaNs+fLltnDhQisuLvYl7KtXr47rugpCFdrWr1/fPvvsM7++Qll1zYZ2xGoJvUJNfVWtCh9Dg1iFuYWFhTZlyhRbv369vf766/4+CiSHDBlis2bNCruunt98880esEajWlq1auV1Bbz33nte79NPPx31Z3SteGkMQGhnsD5DSkqK3XjjjcFzrr/+etuxY0dYsAwAAAAAABBLSsxXAZRr0aJFHiwGqMv03Xff9e9btmxp48ePD76Wl5fnAeoLL7wQPPbmm296p+fGjRvt0ksv9U7POXPm+PJ2Ubh5+eWXx1WTlsQfP37c3njjjWAIqYBTXakKZe+44w4/dtFFF/nyenXOtmnTxjtEly5dao888ojXs2DBAluyZIndfvvtfn7z5s3DOlnHjh1rX375pQeSCkLnzZsX0Z0aauvWrf4ZQ+k6F1xwgXfwhgarAwcODD5ftWqVtW/fPvg82v04dOhQ8Ptzzz3XH6KQWB22uufdu3cPnhOoQzVpnioAAAAAAMCpEKICldS1a9ew2Zr16tULft+pU6ewc9euXetdn6Gha4DCvsOHD3unaOfOnYPHtRS/devWcdWk62hJfWjHpxw5csSvE9CuXTsPUAO0rH/dunXBpfl67ZZbbol6DYWQCl0VAitE/eCDD3z5f1ZWVrl16fNp06hTdZuqi1bX37lzp48y+OeffyI6Wk/+bDrvZAcOHPDNqlSnOnxDBULW0PAVAAAAAAAgFkJUoJIUmpa3fD00UJWDBw/6LM5x48ZFnKsAs7xZotFCR80lDRU6y1TXUYA7d+7ciJ9t3Lhx8Ptzzjkn4n3VwRoaMsYybNgwn+n6yiuveKerltGfd9555Z6v2bCBkDZA3boKO3fv3h3sRlXIrHuqJfjRaOMuddWGOvlcBa+qR12uM2bMiHiPvXv3RtwPAAAAAACAWJiJClSD6667zr7//ntfPq6QMPShwDUtLc2DzZKSkuDP7Nu3z5e8h1Lwp1mfAT/++GNYR6Wuo2NNmjSJuE6DBg0qVKuWzytQ1XzW8tx1111etzpxNd9Vc1Jj0SiDH374ISwAvu+++/wzRwuWq2LEiBEe2GoDrmjdr9rgS9dVNy4AAAAAAEBFEKIC1UCzOdUB2b9/f/vqq698af3ixYtt8ODB3jmpDsyhQ4f60vNPPvnEgz7NHq1ZM/xfUW1OpVmma9as8Q2qHn300bCu0gEDBnjXZ2Zmpi9937x5s89CffLJJ30zpYpQ0Ku5pApGFUQG3kNzUgO03F/1jRkzxjtKu3TpcsrRB+qSVZAc0KxZM5s4caJNnjzZr6dxB9rsSZtpaUOrwHXioa7Y/Px838xL3bXqctVD1w7Qfbnpppsq1HELAAAAAAAghKhANdAc0ZUrV3pgqs2d1O2ZnZ3tS9MDQelLL73k4Z6W/WtDp/T09IjZqgodtRmVznvwwQctJycnbBm9vl+xYoUHlPfee6+1bdvWw1nNRNXy9opSh6k6RR977DHfeEobTpWVlYWdo/fVHFcFwafSqFEju+eeeyLGDAwfPtyKi4vtt99+8+spkFWXq4JbdbiGbipVEeqe1T2+++67fUxC4BG66dX8+fP98wAAAAAAAFRUjRMnD1gEcNrQpkkdO3a0SZMm2elGHZ3dunWz7du3W2pq6inP//bbb6179+7ehRttg63q8OGHH9rIkSO9lvLmrgIAAAAAAJyMTlQAcTl69KiPBsjNzbWsrKwKBajSoUMHn3+qLtNEUTetlvwToAIAAAAAgHiQJACIS2FhoS/lV4fsW2+9FdfPao5qImlkAAAAAAAAQLxYzg8AAAAAAAAAMbCcHwAAAAAAAABiIEQFAAAAAAAAgBgIUQEAAAAAAAAgBkJUAAAAAAAAAIiBEBUAAAAAAAAAYiBEBQAAAAAAAIAYCFEBAAAAAAAAIAZCVAAAAAAAAACw8v0L/cPwOkPqWa8AAAAASUVORK5CYII=",
+      "text/plain": [
+       "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Compute S11 and realized gain for the inital patch geometry\n", + "s_matrix_init, sim_data_init, theta, realized_gain_init = evaluate_single_antenna(\n", + " patch_init_wh, freqs_s_params, opt_freqs_single_patch\n", + ")\n", + "# Compute S11 and realized gain for the optimized patch geometry\n", + "s_matrix_final, sim_data_final, theta, realized_gain_final = evaluate_single_antenna(\n", + " patch_wh, freqs_s_params, opt_freqs_single_patch\n", + ")\n", + "\n", + "# plot the comparison in S11 and gain for the initial and optimized antennas for phi=0\n", + "plot_phi = 0.0\n", + "plot_antenna_comparison(\n", + " [s_matrix_init, s_matrix_final],\n", + " [sim_data_init, sim_data_final],\n", + " [realized_gain_init, realized_gain_final],\n", + " opt_freqs_single_patch,\n", + " theta,\n", + " plot_phi,\n", + " sim_names=[\"before optimization\", \"after optimization\"],\n", + " plot_title=f\"Antenna Comparison (phi=0)\",\n", + ")\n", + "\n", + "# plot the comparison in S11 and gain for the initial and optimized antennas for phi=pi / 2\n", + "plot_phi = np.pi / 2.0\n", + "plot_antenna_comparison(\n", + " [s_matrix_init, s_matrix_final],\n", + " [realized_gain_init, sim_data_final],\n", + " [realized_gain_init, realized_gain_final],\n", + " opt_freqs_single_patch,\n", + " theta,\n", + " plot_phi,\n", + " sim_names=[\"before optimization\", \"after optimization\"],\n", + " plot_title=f\"Antenna Comparison (phi=\\u03a0 / 2)\",\n", + ")\n", + "# Save results of optimization\n", + "np.save(\"misc/single_patch_box_antenna_optimization.npy\", patch_wh)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Expanding the Design Space: Optimizing a Patch Antenna with Coupled Passive Radiators\n", + "\n", + "In the next optimization, we optimize a patch antenna for dual-band operation. The appropriate choice of patch width and height for a single radiator doesn't typically require an advanced optimization technique. Based on the patch antenna operating principle, initial values for these parameters can be found and small tweaks or even parameter sweeps can identify geometries with the desired resonant behavior. By optimizing via the adjoint method in the single patch example, we validated we could also optimize the geometry via gradients. However, in cases where there are not intuitive solutions or we would like to take advantage of a larger number of degrees of freedom, the adjoint method becomes increasingly useful. Below, we allow the patch to have a more interesting shape by creating an optimizable inset at the feed connection as well as fin structures on the top antenna edge. Additionally, we add passive radiating structures that couple to the central patch and optimize both their size and relative position to the central patch. The degrees of freedom are indicated in the diagram below, but in summary we move the 2-dimensional patch antenna optimization to one with 18 dimensions. Here, we utilize gradients computed via the adjoint method to optimize a figure of merit for broader band radiation.\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "num_passive_radiators = 2\n", + "\n", + "# set min/max patch dimensions for the central and all surrounding patches\n", + "min_patch_dimensions_mm = sum(\n", + " [[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], []\n", + ")\n", + "max_patch_dimensions_mm = sum(\n", + " [[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], []\n", + ")\n", + "\n", + "# set min/max gap between central patch and each surrounding patch\n", + "min_gap_mm = [1 * mm for idx in range(0, num_passive_radiators)]\n", + "max_gap_mm = [5 * mm for idx in range(0, num_passive_radiators)]\n", + "\n", + "# set min/max offset of each surrounding patch center relative to the central patch center\n", + "min_offset_mm = [-8 * mm for idx in range(0, num_passive_radiators)]\n", + "max_offset_mm = [8 * mm for idx in range(0, num_passive_radiators)]\n", + "\n", + "# set the min/max of the patch inset (i.e. - how much the central patch surrounds the feed line)\n", + "max_patch_inset = 8 * mm\n", + "min_patch_inset = 2 * mm\n", + "init_patch_inset = 0.5 * (min_patch_inset + max_patch_inset)\n", + "\n", + "# set the min/max of the inset height and the gap between the feed line and the inset\n", + "min_inset_height = 1 * mm\n", + "max_inset_height = 6 * mm\n", + "min_inset_gap = 0.5 * mm\n", + "max_inset_gap = 2.5 * mm\n", + "\n", + "min_inset = [min_inset_height, min_inset_height, min_inset_gap, min_inset_gap]\n", + "max_inset = [max_inset_height, max_inset_height, max_inset_gap, max_inset_gap]\n", + "\n", + "# set the min/max of the fin widths and heights at the top of the central patch\n", + "min_fin_width = 1 * mm\n", + "max_fin_width = 10 * mm\n", + "min_fin_height = 1 * mm\n", + "max_fin_height = 10 * mm\n", + "\n", + "min_fin = [min_fin_width, min_fin_height, min_fin_width, min_fin_height]\n", + "max_fin = [max_fin_width, max_fin_height, max_fin_width, max_fin_height]\n", + "\n", + "# combine all the min/max values into clipping arrays to use in the optimization\n", + "clip_min_values = min_patch_dimensions_mm + min_gap_mm + min_offset_mm + min_inset + min_fin\n", + "clip_max_values = max_patch_dimensions_mm + max_gap_mm + max_offset_mm + max_inset + max_fin\n", + "\n", + "# set initial passive patch sizes\n", + "min_dim_avg = 0.5 * (patch_min_width + patch_min_height)\n", + "init_passive_wh = [\n", + " min_dim_avg,\n", + " 0.5 * (patch_min_height + patch_max_height),\n", + " min_dim_avg,\n", + " 0.5 * (patch_min_height + patch_max_height),\n", + "]\n", + "\n", + "# set the initial passive patch gaps to the central patch\n", + "init_gap_sizes = [2 * mm for idx in range(0, num_passive_radiators)]\n", + "\n", + "# set the initial passive patch offsets to the fixed central patch center\n", + "init_offset_coord_locations = [0.5 * patch_init_wh[1], 0.5 * patch_init_wh[1]]\n", + "\n", + "# start the central patch at the same initial width/height as in the single patch case\n", + "init_central = list(patch_init_wh.copy())\n", + "\n", + "# collect all the passive parameters\n", + "init_passive = init_passive_wh + init_gap_sizes + init_offset_coord_locations\n", + "\n", + "# initialize inset heights and gaps\n", + "init_inset_height = 3 * mm\n", + "init_inset_gap = 0.75 * mm\n", + "init_inset = [init_inset_height, init_inset_height, init_inset_gap, init_inset_gap]\n", + "\n", + "# initialize fin widths and heights\n", + "init_fin_width = 3 * mm\n", + "init_fin_height = 5 * mm\n", + "init_fin = [init_fin_width, init_fin_height, init_fin_width, init_fin_height]\n", + "\n", + "# combine the initial parameters together\n", + "init_params = init_central + init_passive + init_inset + init_fin\n", + "\n", + "assert (\n", + " num_passive_radiators == 2\n", + "), \"The multi patch optimization is set up specifically for 2 passive radiators.\"\n", + "\n", + "\n", + "def params_to_boxes_multi_patch(params):\n", + " \"\"\"\n", + " Unpack the multi-patch optimization parameters into patch geometries for the central\n", + " patch and the surrounding passive radiating patches.\n", + " \"\"\"\n", + " min_dimension_mm = 0.5*mm\n", + " \n", + " inset_height_left = params[-8]\n", + " inset_height_right = params[-7]\n", + " inset_gap_left = params[-6]\n", + " inset_gap_right = params[-5]\n", + "\n", + " fin_left_width = params[-4]\n", + " fin_left_height = params[-3]\n", + " fin_right_width = params[-2]\n", + " fin_right_height = params[-1]\n", + "\n", + " num_params_wh_central = 2\n", + " wh_central = params[0:num_params_wh_central]\n", + "\n", + " wh_passive_params = params[num_params_wh_central:]\n", + " num_params_wh_passive = 2\n", + "\n", + " wh_passive = []\n", + " for idx in range(0, num_passive_radiators):\n", + " wh_passive.append(\n", + " wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)]\n", + " )\n", + "\n", + " gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators :]\n", + " gaps = gap_params[0:num_passive_radiators]\n", + "\n", + " offset_params = gap_params[num_passive_radiators:]\n", + " offset_coords = offset_params[0:num_passive_radiators]\n", + "\n", + " left_central = -0.5 * wh_central[0]\n", + " right_central = 0.5 * wh_central[0]\n", + "\n", + " left_passive_patch_idx = 0\n", + " right_passive_patch_idx = 1\n", + "\n", + " left_passive_right = left_central - gaps[left_passive_patch_idx]\n", + " left_passive_left = left_passive_right - wh_passive[left_passive_patch_idx][0]\n", + " left_passive_bottom = (\n", + " offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n", + " )\n", + " left_passive_top = (\n", + " offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n", + " )\n", + "\n", + " right_passive_left = right_central + gaps[right_passive_patch_idx]\n", + " right_passive_right = right_passive_left + wh_passive[right_passive_patch_idx][0]\n", + " right_passive_bottom = (\n", + " offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n", + " )\n", + " right_passive_top = (\n", + " offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n", + " )\n", + "\n", + " inset_left = td.Box.from_bounds(\n", + " [-0.5 * wh_central[0], -inset_height_left, sub_z / 2.0],\n", + " [feed_offset - 0.5 * feed_x - inset_gap_left, 0.0, sub_z / 2.0],\n", + " )\n", + "\n", + " inset_right = td.Box.from_bounds(\n", + " [feed_offset + 0.5 * feed_x + inset_gap_right, -inset_height_right, sub_z / 2.0],\n", + " [0.5 * wh_central[0], 0, sub_z / 2.0],\n", + " )\n", + "\n", + " fin_left = td.Box.from_bounds(\n", + " [-0.5 * wh_central[0], wh_central[1], sub_z / 2.0],\n", + " [-0.5 * wh_central[0] + fin_left_width, wh_central[1] + fin_left_height, sub_z / 2.0],\n", + " )\n", + "\n", + " fin_right = td.Box.from_bounds(\n", + " [0.5 * wh_central[0] - fin_right_width, wh_central[1], sub_z / 2.0],\n", + " [0.5 * wh_central[0], wh_central[1] + fin_right_height, sub_z / 2.0],\n", + " )\n", + "\n", + " boxes = [\n", + " # central patch\n", + " td.Box.from_bounds(\n", + " [-0.5 * wh_central[0], 0, sub_z / 2], [0.5 * wh_central[0], wh_central[1], sub_z / 2]\n", + " ),\n", + " # inset patches\n", + " inset_left,\n", + " inset_right,\n", + " # fin patches\n", + " fin_left,\n", + " fin_right,\n", + " # passive patches\n", + " td.Box.from_bounds(\n", + " [left_passive_left, left_passive_bottom, sub_z / 2],\n", + " [left_passive_right, left_passive_top, sub_z / 2],\n", + " ),\n", + " td.Box.from_bounds(\n", + " [right_passive_left, right_passive_bottom, sub_z / 2],\n", + " [right_passive_right, right_passive_top, sub_z / 2],\n", + " ),\n", + " ]\n", + "\n", + " min_dim_boxes = []\n", + " for box in boxes:\n", + " box_size_lateral = [np.maximum(min_dimension_mm, s) for s in box.size[0:2]]\n", + " min_dim_boxes.append(box.updated_copy(size=tuple(box_size_lateral + [box.size[2]])))\n", + "\n", + " return min_dim_boxes\n", + "\n", + "\n", + "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", + "plot_structures_and_mesh(\n", + " params_to_boxes_multi_patch(init_params), sub_x_multi_patch, sub_y_multi_patch\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Similar to the single patch case, we set up a function to evaluate the performance of the antenna during and after the optimization." + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [], + "source": [ + "# helper function for evaluating antenna performance for the multi patch geometry\n", + "evaluate_multi_antenna = lambda patch_params, eval_s_params_freqs, opt_freqs: (\n", + " evaluate_antenna(\n", + " params_to_boxes_multi_patch(patch_params),\n", + " eval_s_params_freqs,\n", + " opt_freqs,\n", + " sub_x_multi_patch,\n", + " sub_y_multi_patch,\n", + " )\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we set up monitors for computing the figures of merit and then run the antenna optimization." + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9152c78493a545fab28df5835245fd35", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
09:59:50 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m09:59:50 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
09:59:53 EDT Maximum FlexCredit cost: 0.740 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m09:59:53 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.740\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "03d2a668700a4e5b804ef4fb342d67a1", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "0edba5f7d17e4e11bed693676427419f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 69\n",
+       "        Figure of merit: 7.19\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 69\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.19\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 70\n",
+       "        Figure of merit: 7.14\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 70\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.14\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 71\n",
+       "        Figure of merit: 7.25\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 71\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.25\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 72\n",
+       "        Figure of merit: 7.36\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 72\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.36\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "bf492134714048bd82dc45dca0b22ce7", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
10:24:48 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m10:24:48 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
10:24:56 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m10:24:56 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9c764edb096346949b6334ab5f3bc9de", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "820fbc70ea774ca2b866ccc8e03b20a0",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 73\n",
+       "        Figure of merit: 7.37\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 73\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.37\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 74\n",
+       "        Figure of merit: 7.36\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 74\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.36\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 75\n",
+       "        Figure of merit: 7.37\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 75\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.37\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 76\n",
+       "        Figure of merit: 7.33\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 76\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.33\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 77\n",
+       "        Figure of merit: 7.31\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 77\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.31\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 78\n",
+       "        Figure of merit: 7.35\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 78\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.35\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "50fa9267c5794bae9607fa373033d6cb", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
10:48:24 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m10:48:24 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
10:48:27 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m10:48:27 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a6c0c89fd5e44128a3fb20fb37f2f3f6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1b14e94c3e0a4e1a9836ccec6c2cf11a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 79\n",
+       "        Figure of merit: 7.41\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 79\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.41\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 80\n",
+       "        Figure of merit: 7.46\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 80\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.46\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 81\n",
+       "        Figure of merit: 7.50\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 81\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.50\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 82\n",
+       "        Figure of merit: 7.55\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 82\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.55\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 83\n",
+       "        Figure of merit: 7.54\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 83\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.54\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 84\n",
+       "        Figure of merit: 7.57\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 84\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.57\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f3d3ca2eaff64de3bef7b1de926c09a2", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
11:11:10 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m11:11:10 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
11:11:13 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m11:11:13 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9a5f885e35c74ce28165110f2b094715", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
11:11:14 EDT Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m11:11:14 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "74bc6ce53cab4f0aa3bc3f8474d2dc09",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 85\n",
+       "        Figure of merit: 7.60\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 85\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.60\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 86\n",
+       "        Figure of merit: 7.60\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 86\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.60\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 87\n",
+       "        Figure of merit: 7.61\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 87\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.61\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 88\n",
+       "        Figure of merit: 7.67\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 88\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.67\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 89\n",
+       "        Figure of merit: 7.70\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 89\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.70\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 90\n",
+       "        Figure of merit: 7.72\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 90\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.72\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "faf5b1af18204efaa9c8e4a3ddfd88fd", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
11:33:01 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m11:33:01 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
11:33:09 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m11:33:09 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "da7b255b37334c73afbb0b5f2d734af2", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "2421ffdca7b44d3880dfbea603afe2ed",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 91\n",
+       "        Figure of merit: 7.76\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 91\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.76\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 92\n",
+       "        Figure of merit: 7.80\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 92\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.80\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 93\n",
+       "        Figure of merit: 7.82\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 93\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.82\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 94\n",
+       "        Figure of merit: 7.87\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 94\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.87\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 95\n",
+       "        Figure of merit: 7.89\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 95\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.89\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 96\n",
+       "        Figure of merit: 7.97\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 96\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.97\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b7c2e1d1747640ccb1facb1445c2b545", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
12:47:46 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m12:47:46 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
12:47:51 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m12:47:51 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1ab4e71aeb514efba9073e80383b46f6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
12:47:52 EDT Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m12:47:52 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "be5e14b0aa2046e7a793bb50ef52e4c8",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 97\n",
+       "        Figure of merit: 8.01\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 97\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.01\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 98\n",
+       "        Figure of merit: 8.06\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 98\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.06\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 99\n",
+       "        Figure of merit: 8.09\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 99\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.09\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 100\n",
+       "        Figure of merit: 8.14\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 100\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.14\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 101\n",
+       "        Figure of merit: 8.15\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 101\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.15\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 102\n",
+       "        Figure of merit: 8.08\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 102\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.08\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "33060ca2eb7a4735b9edc1dc1dbc2c97", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
13:28:08 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m13:28:08 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
13:28:15 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m13:28:15 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cd52d3adf07548499eb21f1626717c79", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
13:28:16 EDT Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m13:28:16 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "fa3e47b50e3c47b9ac138295274d196b",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 103\n",
+       "        Figure of merit: 8.27\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 103\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.27\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 104\n",
+       "        Figure of merit: 8.27\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 104\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.27\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 105\n",
+       "        Figure of merit: 8.27\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 105\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.27\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 106\n",
+       "        Figure of merit: 8.34\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 106\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.34\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 107\n",
+       "        Figure of merit: 8.41\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 107\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.41\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 108\n",
+       "        Figure of merit: 8.38\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 108\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.38\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c9e28331c71d49d2bda959a47bf8280e", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
13:50:15 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m13:50:15 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
13:50:19 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m13:50:19 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1a42f21d16ce4b22a1f792f468a34305", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a4d72075fda544eca1e3e9585952b553",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Iteration 109\n",
+       "        Figure of merit: 8.29\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 109\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.29\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 110\n",
+       "        Figure of merit: 8.45\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 110\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.45\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# set up the multi patch radiation monitor sizes\n", + "obj_fn_monitor_dim_multi_patch = 2.0 * np.mean(patch_init_wh)\n", + "obj_fn_monitor_center_y_multi_patch = 0.5 * patch_init_wh[1]\n", + "\n", + "directivity_center_x = np.mean(sub_x_multi_patch)\n", + "directivity_center_y = np.mean(sub_y_multi_patch)\n", + "directivity_size_x = 5 * mm + sub_x_multi_patch[1] - sub_x_multi_patch[0] # Ensure mm is defined\n", + "directivity_size_y = 5 * mm + sub_y_multi_patch[1] - sub_y_multi_patch[0] # Ensure mm is defined\n", + "\n", + "monitor_directivity = td.DirectivityMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0],\n", + " size=(\n", + " directivity_size_x,\n", + " directivity_size_y,\n", + " 4 * mm, # Ensure mm is defined\n", + " ),\n", + " freqs=opt_freqs_multi_patch,\n", + " name=\"directivity\",\n", + " phi=list(phi),\n", + " theta=list(theta),\n", + " far_field_approx=True,\n", + ")\n", + "\n", + "monitor_radiation = td.FieldMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs_multi_patch,\n", + " name=\"radiation\",\n", + ")\n", + "\n", + "monitor_far_field = td.FieldProjectionAngleMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs_multi_patch,\n", + " name=\"far_field\",\n", + " phi=phi_opt,\n", + " theta=theta_opt,\n", + " far_field_approx=True,\n", + " proj_distance=50 * wavelength0,\n", + ")\n", + "\n", + "multi_patch_optimization_monitors = [monitor_directivity, monitor_radiation, monitor_far_field]\n", + "\n", + "initial_gain, initial_poynting_flux = compute_gain(\n", + " init_params,\n", + " params_to_boxes_multi_patch,\n", + " sub_x_multi_patch,\n", + " sub_y_multi_patch,\n", + " multi_patch_optimization_monitors,\n", + " opt_freqs_multi_patch,\n", + ")\n", + "\n", + "# set up the objective function for the multi patch optimization that is a function\n", + "# of all of the above width/height, gap, and offset parameters\n", + "obj_fn = lambda patch_params: objective_fn(\n", + " patch_params,\n", + " params_to_boxes_multi_patch,\n", + " sub_x_multi_patch,\n", + " sub_y_multi_patch,\n", + " multi_patch_optimization_monitors,\n", + " opt_freqs_multi_patch,\n", + " initial_gain,\n", + " initial_poynting_flux,\n", + ")\n", + "\n", + "obj_val_and_grad = value_and_grad(obj_fn)\n", + "\n", + "# initialize patch parameters\n", + "# patch_params = anp.array(init_params.copy())\n", + "\n", + "# set up optimization parameters and optimizer\n", + "learning_rate = 50#60\n", + "optimizer = optax.adam(learning_rate=learning_rate)\n", + "opt_state = optimizer.init(patch_params)\n", + "\n", + "num_steps = 120#110#105#100#90#70#60\n", + "print_iteration_frequency = 1\n", + "\n", + "full_eval_frequency = 6#1#5\n", + "s11_sq_dB_evolution = []\n", + "s11_f_ghz = None\n", + "realized_gain_evolution = []\n", + "theta_eval_evolution = None\n", + "\n", + "figure_of_merit_multi_patch = np.zeros(num_steps + 1)\n", + "\n", + "start_idx = 110#68#0#100#90#85#60\n", + "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", + "# at each step and clipping the design on the bounds\n", + "for step_idx in range(start_idx, num_steps):\n", + " f, g = obj_val_and_grad(patch_params)\n", + "\n", + " figure_of_merit_multi_patch[step_idx] = float(f)\n", + "\n", + " if (step_idx % full_eval_frequency) == 0:\n", + " \n", + " s_matrix, _, theta_eval, realized_gain = evaluate_multi_antenna(\n", + " patch_params, freqs_s_params, opt_freqs_multi_patch\n", + " )\n", + " s_matrix_f_ghz = s_matrix.f / 1e9\n", + " s11_f_ghz = s_matrix_f_ghz.copy()\n", + " s11_data_selection = s_matrix.isel(port_out=0, port_in=0)\n", + " s11_sq_dB_evolution.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", + "\n", + " realized_gain_evolution.append(\n", + " {\n", + " \"Gtheta\" : realized_gain[\"Gtheta\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", + " \"Gphi\" : realized_gain[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values\n", + " } \n", + " )\n", + " theta_eval_evolution = theta_eval.copy()\n", + " \n", + " updates, opt_state = optimizer.update(-g, opt_state, patch_params)\n", + "\n", + " patch_params = optax.apply_updates(patch_params, updates)\n", + " patch_params = anp.array(patch_params)\n", + " patch_params = anp.clip(patch_params, a_min=clip_min_values, a_max=clip_max_values)\n", + "\n", + " if (step_idx % print_iteration_frequency) == 0:\n", + " # We don't print all of the optimization parameters below to reduce clutter\n", + " output_text = Text.assemble(\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", + " \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"),\n", + " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", + " )\n", + " console.print(output_text)\n", + "\n", + "figure_of_merit_multi_patch[num_steps] = obj_fn(patch_params)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After the optimization, we can plot the figure of merit and compare the optimized antenna geometry to the initial antenna geometry. We can see that the optimization made a significant amount of changes to the antenna structure to realize dual-band operation." + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot the results of the optimization including the optimization trajectory and the resulting geometry of the\n", + "# central and surrounding patches compared to the initial state\n", + "plot_optimization_results(\n", + " figure_of_merit_multi_patch,\n", + " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", + " params_to_boxes_multi_patch(init_params),\n", + " params_to_boxes_multi_patch(patch_params),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also compare the S11 and realized gain for the final optimization state with that of the initial state. On the S11 plot, we indicate the frequencies that were optimized for. We can see from the S11 spectrum and realized gain plots a significant improvement at both optimization frequencies." + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9e563ce6fc03479d94b0792418a0b2fa", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
13:58:19 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m13:58:19 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
13:58:22 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m13:58:22 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "139b9260f34d41a3abe2485c235c72eb", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "5883417c0c71466c884a47e8767f2f0a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "46262cc0a8094370960e4d06f1ed8eda",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
14:00:09 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m14:00:09 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
14:00:17 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m14:00:17 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c77ba96b716c4988b50a4f9849464c91", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a6e68b0453b641bd8a74b3e3fc205a77",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compute S11 and realized gain for the inital multi patch geometry\n", + "s_matrix_init, sim_data_init, theta, realized_gain_init = evaluate_multi_antenna(\n", + " init_params, freqs_s_params, opt_freqs_multi_patch\n", + ")\n", + "# compute S11 and realized gain for the optimized multi patch geometry\n", + "s_matrix_final, sim_data_final, theta, realized_gain_final = evaluate_multi_antenna(\n", + " patch_params, freqs_s_params, opt_freqs_multi_patch\n", + ")\n", + "\n", + "# plot the comparison in S11 and gain for the initial and optimized antennas for phi=0\n", + "plot_phi = 0.0\n", + "plot_antenna_comparison(\n", + " [s_matrix_init, s_matrix_final],\n", + " [sim_data_init, sim_data_final],\n", + " [realized_gain_init, realized_gain_final],\n", + " opt_freqs_multi_patch,\n", + " theta,\n", + " plot_phi,\n", + " sim_names=[\"before optimization\", \"after optimization\"],\n", + " plot_title=f\"Antenna Comparison (plot_phi=0)\",\n", + ")\n", + "\n", + "# plot the comparison in S11 and gain for the initial and optimized antennas for phi=pi / 2\n", + "plot_phi = np.pi / 2.0\n", + "plot_antenna_comparison(\n", + " [s_matrix_init, s_matrix_final],\n", + " [realized_gain_init, sim_data_final],\n", + " [realized_gain_init, realized_gain_final],\n", + " opt_freqs_multi_patch,\n", + " theta,\n", + " plot_phi,\n", + " sim_names=[\"before optimization\", \"after optimization\"],\n", + " plot_title=f\"Antenna Comparison (plot_phi=\\u03a0 / 2)\",\n", + ")\n", + "\n", + "# Save results of optimization\n", + "np.save(\"misc/multi_patch_box_antenna_optimization_v3.npy\", patch_params)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "description": "Patch antennas are widely used in wireless communication applications due to their simple design, ease of fabrication, and low profile. In this notebook, we will demonstrate how to use Tidy3D to simulate a rectangular patch antenna and compute key performance metrics. These include S-parameters using the TerminalComponentModeler, as well as directivity, axial ratio, and polarized far-field components using the DirectivityMonitor.", + "feature_image": "./img/PatchAntenna.png", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "keywords": "patch antenna, directivity, axial ratio, S-parameters, Tidy3d, FDTD", + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.8" + }, + "title": "How to compute directivity and S-parameters of patch antenna using Tidy3D FDTD" + }, + "nbformat": 4, + "nbformat_minor": 4 +} From 27fd345319179d6877de0000622eb243e04e1299 Mon Sep 17 00:00:00 2001 From: Gregory Roberts Date: Thu, 3 Jul 2025 16:21:29 -0400 Subject: [PATCH 5/9] add images --- img/antenna_figure_of_merit.png | Bin 32015 -> 113079 bytes img/multi_patch_antenna.png | Bin 84730 -> 92631 bytes 2 files changed, 0 insertions(+), 0 deletions(-) diff --git a/img/antenna_figure_of_merit.png b/img/antenna_figure_of_merit.png index 8c4ee680261eb6c32921b329659c25896244d617..45018ce2fdc286e7eab7f595f19a497fb6733ce9 100644 GIT binary patch literal 113079 zcmeEug9oE3Wy-xA+btIw@4$BB8ZeU1`Du#FV7P#3+^QtnZsym>?iX1;%KiYpFI7ChMw5W8emON4F{}GGQdzmQ}p5xR^vUfJB}vGi?2=Iq!tyi5H2<+;EKd~Ou27(*w56S zB<{^5+M6y{BO|;Jql}tL*Fl(+-k5rG6>$->>AHmqkq9F31B5F!gcz4NtQ;IryiE#^ z++FR-D08=;zK~f+IXWqM5cCo2DuNW($2lrrHk@$^#JU7u4p$)rapFnl%$XK77v_%@ zcC(Zpdl(XP8on|lzHW%yw;VTe#T7>KmLtHJj7NB|Es}hP@{14Oxy#Hpu}^7K0*c6(L zxj>?2roG;-rT&G@I?OK9FOTi~xO3-b`{GRZSCfEloCO6MzvMLRs`&E z+o!`k#|RXR_$Yp27AUrUT-+S@>N2m1;lC<^?TNL}?j5=WY+Zd#$oP01%|f9utKmYc zyP#O>#D!Hw)OAk^wS9wVUQE3bq0A`SX`ERj1z+toX*c(08nMLvc?=G; zeKiK&G4_wHl%$jI-A!sE9U7mAuVQdSdb!Yet78~7`l|Pwtn7(yGk)-u`-t#@G%@1q z_s~?I^ zrX=h_DLgkijb7&W+{y)E8M!BoqxJoH81*vN%=d9moBQ02>u84>Ccc7l2iACxHhj<) zueDx`=6F1=_=ZeKrAxodQc5Cb!FuDx_6?6~qg83i-#0dDnrbjgzkgtUL)(9Kk;w_4 zKkSCldG8Ri&sW}PEM{ZjWuIxbZ2Yp zXfpjI~gqcu`n02HZ{&_4YyVHhsBc=#)-l&DXYvl;eW9JV= zaWRmUDamP`G_@ZvmA6hA@;y6G=zUKKOXIO)Dv|}_km!wm>93JCGL|ajw09Je-amqJR9Fcy;R4U?uUnB{sUN)L% zAPx9+Q=*4cH%duD*=!Rr|N5?hvsr2s;1o$w&if5(y&Qdw> z>V#^fxwpG*(zqd3`#GhywdJ53SWJ|n8+&CDkcF& zyw9A^y<5b0>A$mmKQ}C!1E2?GcWXe(k3Ve5Inn=VZ z*reD~Dom-pjC-AEo#dUiohB;ub7b02EM%OnqDQGVs@UPZ3$99d6#OXu(C08BUE)o; zi*ouks%E)ntmX?c1XENmqt+vG39B%*nRSZC%)k@$>V0=a(fJ>?dwi zBl)huGsOPN&W&$f4iC1u$eCj@GnliM(vwn0(yPY;A1(j)4_7 zD;|wljHrxMS6EgEy79Tab_;al++^4aop&r`i@g!l)@+h*NM?M;)Z_A9fyex}1n$iR zRN%$kuIi!4St(%cW$hTv@{&J!f;dFkNcq_?M)XPj9kJo|Z)^=V72ofF;Pe}zcD(Ht zb}^KR*wtpzS~5GLTKQE6(~Bj^e97ttx`wL_924govVtq+wdjuN2IwBjhsHa^bI5zh z(`G)D4@)?%?=`X?c(-V`ZRQjfAEBKc-)WJcoiK3Qo@4`MgKEQL+L<|;$u^Zm-VqeTg^YS|-~0Wqc2}dIuZ$n%v$vKG{+w@gS*@Pm|C8N~T+ppR&X? z#4wcSB+egtCv=3aQg%DLI>95>YAdUySZ=y+jMn#aYv(KFZPvU8QWNzFp_J|lhB z`FxiaZ}h+Z1v=Bl=@>()DVB zCv>k9`s3$gbrRh?BEM!3N3|;6Oibk8o4wd@u|8VN%%?b`c*HCPMfov{7a639v|~QDRMmG&@dJFy4j=`H4rlurykqG{9T%XhP6oSZJBZH*TCk1 zn69{l=t|bG#JE^z@m%V!5y{Es9F7g$PVrA(Y4x&yeK=TQCb(|1r+}LNEaSnKK40Pe zd>P#-=jH>{8q^rnl}vgCVJ1nUoGJqP|^e``$Wm zlPEqxsLUk!QjTgmH6#F&GdS1k1^)|TixGFuXkxce;Gzo}GAeb8v?O&GdW+M}th8DmLr#oB-Da(g`V zt+0(}_JCRWTZfsMJDqpPdfxP8JrpoEcOqHRR}SiBcv!ievHY%>+s4``$!Mh18t;G6p`r}P8k=_Y?>RUNC8=Qi{6bI-agP2aaA9`NqY zsG7br4NKYJ?R)fX;V{C0r|I%p!De~COVfsm>OuLoQQQ$r zN)^7#)J)!C9?@$F{fD*5Hb>JT-6Uk(65J`@nya_Q%N~ykeM|Q8x5=7(-8)j`F1eHI zS$5!I;P3vq;{dj!OYu>#{77kcb%6TQ3&o@$@-B)vL3R(7jqWKkdrh0Zm%?<%9eZ-y zi$>0CDT7{CkE{+3Ki3|fm@mb*ckSIePG6ZS(nKq8s&?`i=_DC(Uy=Wo5N0j=jkqe$ zv(43OTddQco+8VO%7fv=V&~nQ>~0*thpUGN2TZU1gwY$Zr-KgJJFXHTl^(gyXGU^f zd~2_;mU5ocQW)t3Gp{ZD=o6VY->xD>*ZC7GD}+KXbc9}|ln5*lE;4TyMek5Del_$q zyQ3Ke^{emS*7sgd>DuV5uf0CcImhjZV-1t(xpdC@1T|0X$;A@Fd(I%ih&9oYzArD2 zzyRK3AfO`RBOrr!h~O^*;uQo`_ut)+>> zT}l^A3oCm*7eOlc6MW!3^f4g?>y;>^inZD-2L&dbZo%ErOU!NClkV77O)a=7clY-LY< zO5}`=xQV@yotce;nY9%qMECAJYexq`Dk^BApMOr*Y2sq`YbGoEAKL;OWQD$AWoKby z{jXsTX7~TcFzB1pVeoyOPA32n<5MzoF|p7RH?st+21^rSzroEV0H5cduYRrcbf~($ ziJh3WB^c=-^y{#G4F3JgzX!tS)c$QwHlCZm&-vR|zYT>p!KY$kZ*AcSF;U&h%t44l zfc3vV{(F@6uVF&$Tws6jLBD_c_Xw^39P#_7e~(bKGXspc3oT8E{l^TyfA-^f0aobn ze-nmNNrQh1L`?`wfc2-?3SqHpn;Rn_h#*Ldi>kRGE{>o-x}-k1yG9SA5qWUc2L;JT zUo1iasdMRCZ0fP2vS?q?>*d$WgN}|peHFdx%A%;)kMGq>VkWh_uOuN{&uH&DwnyW< zZ@1zbt!wJ}HsukA{r&0am8OFt_Z0V50<{dX_b>z`3`+0+@!}#%*^h16j`DvzLYaz< z`)mvc5fKGf1mVA5s^~-v-#_f;^7$XLK+~hp?UMYj@ettxOx$OyS8klY`oES6h`=z9 z(f;Qma7F4Kf?290<;DK@eknx^AJ_i(CQb>jJ_oZDD0kuh9~=Sfu>K#MfD`%u?0|D8 zRSsznbpZga{WNXOn4lx#fe6GT0C`sgJ> z42I57tlFq4I-7|$PKy0MMReKYI2HpCSg=d*itKWq+-=ybYhRqr}+-g+0({}`St(z_-X z|90Qh$R(e|nd>p0JV`NIvusNCQnK1{U}3oVOKaN@xMFxe0kVaTkM$oS?2fhhU`Vl| zWSKEZXR{p{U;c%zKJNGdYD!D=y9r~Zvb@PwMv98D4S^rp!TaCZWI?Hv$a?QnukZRN z)weHY3f*f8_P-ZvPFA84IMypt9Lc9Id>Ryqx=IC+QIiClGTC$?`gc>SMzBvLrXsW8blo@vEF#iXb+B4OtP9sZm9XX;_F#Xm1DON)tH=6XFN!^Er5ExM~nJ` z3;*r+ZPp1P1#!1t#|!4My5iCzxwOgr+;8jhRb@vbxg7?3_PhI)>+0)T)lYX$*wvqZ zDt;~JSQP~E%+MAQiGVQ0(9i!L)3S|!d1F1s?wU~w`z+!4p(~iL61XjlqANEhHwRQX z=6&x*x-;ma892loZcLxpn{IXc!U?iN1QV3}p8QLY@bb=vmq|})^ym}3CokU-K3i>I zH(7QeK4~FwQ$0CqnduaI9mM_o<$1^w!VoS}vf+70Nyh!V*<>VH?zXNnv-$3H|8q;8 zC8|E0gY&+H?ehvNt`#=jL2*(#8o8TGJX*;$OU#Pgw~ydbhRC3FL*zid>>qjvh`Ja| z2ZEO)imqx8Fr)F3qXF&z_&*I1#F%q(!OzIPcl=-u`&5Pr~F3ZPZIe ze^_U!8NGqC|2BMKhicyWiH8pNW(ogM;(pb!$~}U~4=MUL&I_?r#6;9ps9U&q33^rX zL^bETQ-XW4fCeJEWGzVjPA+n|L{yBLv&9czydSR>&V>7x*FMU8&GUMeAUnp zLk8uGT8A>&S)D1;t7ogkg6IF)m^T@!hQ*z0?kZ(1=aE-zcn>{pJDb4*30YR`k>O$v z6CnhafU=F;sOCy3(a+(M%3;1uboq!xpMnPTyWwG7G#1<|97XJukIdjP)s+|&Y}OKa*r5o z4%J>C?v>ZH!?}e%> zu_OY>w;*QNTo+k?7{@jIA8tAk`_({=_`Mg;rPW3*XW>|UtCVEKiQKlmllZMn^?Qqf z5S4x3Ayvu4?iftPFVVp0Ib9Jll7JJX0yY5?OX6R#b*H8T}D&2Ug(j!5?S zxcO}xnMA%%kB8{Nx59kAZwF|5j&s}`uFEd(7{1@n(S4h|;eQ>zx>a-VSu77k4LL2ZP~xlq=ts0FWrleGUUWcUz!CN3jw)T=hvT-i?QBJXdP82(kID=m z%Owem`aR5}Qw#Tpi)&pn5cI;CDo%6g#D8C+1*;9Pd|Xd0=DWWGrxm|C#NWy7S@@BA zWqFertA#$?Q2^L!Ho0}I_2T@b$Vu2j3X1`%0NfE75(5#Ajh8`t{ErPJ!tXD1e;L7< zo?0kEC&a#RtH5S71c|`(P_ZU)3s!8|DXm|=Ack3>(G^mndI{R0NGe8QjB4tai$~&r zED$o0SeO?5)y)`^q`Xe;YM-a8A7*&yX{r(vB@>j}wkP2eji|6J+r`gZNxKiP5&5?nt=cdjJ%TguU#=gVVQHx zpPZR7Lkvvoe0ixJqeYGhSrpnbh6`e;9oFu3V}!qDykFLE<6DVjYXG~ZPzEYF+7PyP z$EmjBj)8;4SjEgZ_-Bl$VM~ppB-^;*zP?f8b&@Ddxyx5z?vb%E49boqXv+w*@aRe8 z9SVkAbWo80Ki;BF7l|LoGQ#ztXAd$y?GwD*Be#k{#iRs@$W@ZQohwVq#R{E91ai2CeA^p#xF+c9T}v# zJe7#@T4cG&LOJhlcSP0tZQ{rG_@|6I`uok2eCx9VuInYlB^Gy_PAT3rk3Z=M`Ei-gQ2-Suvu2XBlH& zNJBUlo$C@`I_)JF`72sx$GF>GO1YHiG~A%yCU9APi*B;kFyMx?h#A&aNP$2t2~OUE zu1-VYW`d0$JXHD3$9i+4I+3c?2N)lju0$kdW`tnExV;L_kM;aEInRX+An# zXOW6Y^YB{wYhJkYy<)6;in-9rOfB}89@S+bp?7XK-YK}iy_LpuIRaN$%dNDs-ysa! z9lL73=LLuRR+~zmn`Qj!N4XqAoe$qAgP}0Dun?FwCV_Y7&i`&Vps5V7xI)e8n6H$^ z6uTXJ)yR8}4glFbeOb!c^4zBlCGI9j|>+*4Nu)qa!pjNc-e&rqJdalYg9lcag~5O zMl!FMW%^q{zg=>%Z|>so*mKU5eCX4|WhV)uwMM}4Gc!DP3k+qU`RH->!P%KvFyRt) z=}>rV71~G#Q>3HQ>^qTK7~%Pa{@7^DCCbm@CaA6ye;o=8fw14**dMZTyVD~{p;R;C zvA}q$;7IX!c;7mkB{dOD+l<*T@wY0VRMgc_^8^1hgku#M8#35b>6L&#`yu^=@FI`n zbcS3!zk*xw5-Ztr$C5D&VtlY)Lq%YG7W|^0iECqIW`>Bmu}%> zf`auaJ<73%F#k~!T88iYuf=qyMxCn`7M9zEAP#yb0Gm{f8EO8v{aw8c8_5}({Cd5u zu@sp^ZUh@U=RQrLLc85<6m-;tWqX*nFoxcMb4C^CmT-~7hJZE*!yK#=W^qQ+ao{_R z0kO8Sw21!SFM-tzx>9-eyuT^Y09*c&LrVbatxSoYS>n+$HHWfyKodZ z*TYON2NXnStiy>BU6YNPlFm%q+pY^R>E&0?E8t9fL|NBI^T=Bv>bJ$gC0$K?Ole<; z`f{332D2;E2v=O4xHN7nGi^B6gJOZ5fhU8d#v~@wPbrMG!X7f+5JH2}8xSpBB5+Eu zZTQPR;o2YpQ?55%ki?R(^O}9DI=7TLN=7f=6QBQlOs@JZxt(_+buvhbk2X!UOFZ6i znYHT)J=(p^cs}F}w3bo=;HH-{6A}ONk|@vXoR)OQKZ#<-6jtzDPV>z3=_SSJ7Zu5W zt^^C5$g(r(OUv&}SJve}m%t9W!Ptv{(0^ECKq$Vd3!hNst67=qO`4X(9^n*SVmx8B zTVfcJJih7e>qywWU&Cw2&>!YK*?pZqMW293Q;uRliaZ(9wdwtFe}s{AUpCbs%par`+5tIBi z+5lrwpjf*>!F`}R4#hI%aNJuQn3FC+mY)k`1dv?e`r>IK@S7#6#ho3@4HNIRqO^SO z5bYBxMw8a1lq1Uao^{$!0i{O7yus7#@&L^$`g;tB771p!(R<0LuS$Of5yPzE$sXdP z>1It0yz5`cR;09~Ze)cde&wf5yLwk)MHwVQQ$$K9Wjh_knkL5;bL(rho{|0gwo?T@ z+^1qp1$gXSYntjAktnF1#rHY$Bt!~CP}TyRDg?AtCMX@V3X z8^j0H6h|3T&$SK`YRsu>T%Avr*aYEmK|87zdp!lxpM3RRLJgg|KRd+LQ_v;i=6rd! zoBH4*J0=zueu>99bR>-3xVqUmmbmUO$Zlh+105$D1+5(<@MWQch?yr`>9^Pg@>7QB zh$UM=%|vPV8U@3#={S4oy&igKbn`y9`(eK9RJh?t(mJmL%W6F|VlCrYTgsTilb80< zCwXSMput4IAUegHH3a_Y+bIX!*r>EsZql_p%?~0K&qdLU;51c~)_UOR?|u=S?gts2THESN+>F-a7K#QyXni!?TD9tFdD&FcH% zl_k>QKA}2D3kqU1>Gv~|E?;Im#7utd5i*reosHU&2&?O)4B?&vH2pl_u6Id8YliRV)Ehjwk!qiSC90(D5W5+wHGp z&xRcK*41?Kq{c-n*5diXs#>2$b=y>M00mWq;}xFatTQ(T7VZV~ZnsUZo#4;OVH+4e zem>HkqBU#cak14jqS)fuDf^D;A$AJj%wYFmqp=>0zP_k-5-Aa%Bo3j78Fv*K(N1o+ zo~9l3FIx6U^okU5RgVR72*|%ji(8I3@Jx7<2M6SmOn`hAQc_wrTYwUptZRYnQYTp`N(mt9z7u$ljYDXqWv0&vgRVUcL4` zGJphwa<#I~JLq+Lo5BOcwkG?}6L3b2-G(5h7fq>*e;k+h9TbHmK{F7%bVO>!3EW%w z-1PZmKgSqv20SL>i}DR1aq+Pn(vP1!HhE9LNn3Q2_W=V+lPvhwI{}#ca^mRuzm}%a?<+bIY8Mq!`|k9E|7Kv%D==O1+^lOK}jOWmk~ z1DIp?5hD#M|BI;cBx#HU$$erR2a8^Ld@n^qvOBE3*Je<_A=vnP4{kG?jXj7@x18Gi zkj`rC@?IXFq~{Bnx+<_1U?a3BTI|Z00{U=_1X{!Cnr$vNvNp!$swaBkuo%c%98G@S zkt*0GTF9fmH-E$Fl{Y?kt}X=Wv*J`^Hj!W8;H~AzM zSrA>*n~Aw1dPjbMs4AdYLQ3}>q)xk>zcvnkckQi+vU0>11MWLGQW@EXKBYHQn_hTy zvFsDde{j>Ib~Nv0bPa;m0TQ;nGS-OM0Ljj5Pt}y|Ck=2XgCV!d{g>%bQh+6-kWp&W zbA*%)-dK7CCDt^(5Ml?{p`Uz*63te%Yky^iHrK=3%>ot$$|Z0lX>tw4)i~qY?0y*> z1Xw4M#gv+k&%-}>QWkVyC?A;QCsV8NAyFn#$XzDaSHsyY>}R3@j+}+2?r9)4 zrtP1Z3J7BEDyQKE19R0nnbdnb&rZ4=OAa@>aFqf@?C1KbC;{k)-N^MPM!Fm2jm4Ku zDZbV=SEZV{Tw*n>tkX~$MYSX>I_Sj%iC7+%@pOiC^`No_8TkZ+Ngir|gnd-uJlRju za7h%PX0vTLnarDfli95M*@+Ebi#x>1tl~2&Etmdez%o9RL%SJ@F=bK$?E~IzwHkbRr8Pt#`}gLwZ+8tv1Jk zzfk%4=R|Bt5IRK=h77vZau!2qJW9DpXC1qn;rL`c0f)&l&%25BTGZWuStuPHJAo|t z32(apAIBpGGf9|{O`uy-0l`Ani_yY|FVzYNS(r&m?A=n}@((M*t~xmiS~qIe#LqaI z3Cfz563=fes{L}Blubbegm+CYe-^}7gX`9rH%d@?-kD7S6p>V?oqV?UDyU9SUQ_lI`UdT^nOVdzeb~6_mlQ$o$`uXwVo`M{skBd; zc;iiSU1rjlGasHN0Rq%YwF3>2w7yU6%`;kExdY;c^(LlQMI!Wi5b!}2Pb5l06VAgQQVk*=HH7gz zZKEx3ai9b_Mvz5D=|!QH0$#Roq-Iz9@3JTL;x`;ycZ z9-ZTrAg|^I!90`Y=LRN*eJ#jNOb$>1dzBl+3E|3F|BO%A7{FQ zlu*3HOZX}w4V@$h4BxHDbGr^bJw>VUJPjUZkyxD=}dvgP?YneuiMCjVcZX3QA zQf-sM6RGv*dQOc;rVea;=@Fm=3i7KLiEtS~JiyAcx! zipX9sozNfLW3z+SCl81Xqe$QQofxhQ66V?yldqw)l5FX!LF6!Q3^zEWIi`%bWi58n z8fVV9nAwutZKnr-~+>Nl$+GcEV}O4KQw)ozo4HGrHCL$3c=5nLzwMdKB9p>hjxTBLej%7=LL zO_(}P{#Df!1M?(N4!C6eFt12@pp1s}2x$%u+W}Jp$(9pQf3ax@Ua-{HVe9d11A3j& z%i`tbi@?fc83aUFgTQ^50 zkbXDok5~aVFxrMF2)FS+USL>Q#b)@d9e8gd4QzU)48I{NFq79&8$^K1wZk)ZhYB<==I`#F%)%YZrW;V%B4K9X@OsdpVnjP`d?h6GAIds`j z<*@J-1da2ToICexVX(T3{T0^Ljf!+$Ii}f2|YoA?D%C zTXb5J35%}O`QBHipb7?(-=Em@BW5KnwQDc*FVhk8-lk>u%ogCCKX2e12vzT4-jJUa zkta&}EwHb1Lt?&C(uGXm_`VI58h^rHYNr&1`W1IqFb1@%P!SuYLYnhem?;idBTL7v zV_%KDk*g@4H%UT-%M?&D;AYv_dVVv|hR(1h^qbP2_1b0>eLdHG2eFJm^wjynQaEep z`l+d}GeBK-b1bhxy}NT0bNw*M=%^%N6B|sp$`3LGPi|TVX!bMds3YpPwRxLd$0yN3 z@@A*;!W?LiwL)rbTmd6 z&tXam3lvF~+XrC2K4kbb-6Ta_BN-MTM32I zIw6!Jg2ie{8rD}3uaD2*%uTo+_V&H>nvrGVya}(yy2t?4N{)P~|8wsEwV=Y)=5NN3 z=?3eCBYL=V@@((vyb#Y3KnGOjjV12TTgqh7R~!UD^9R=FB*VZg(aM05iO)FuZTL`Lkyufo)6>K|SSh&T8F66NY3_}1mk`D2e5 zi_#->L29i5TTMlbj(Jr(JJv5eo303LithGU!K=b|ww@x^>A1(yvZq%%9TI3_ND`E6SDMBofqH>qYB}EKks`UyxD5$+rcN2@?Jw4m{n3 z3lQ`&rT}DbxjTd9H=Z48je+_)CU(wrvHuaj0mF^==2s8{Q&TCk+8`VhzGxysp77G! zz+s45Rc<2Ykm>KdXI+JQDh)Y-s~xgu&8LYTbj= zSYfqDWIIsq-P{18TORkh@;eQBd*N~JBKFXz6M*>s9n40{j@5OH6g`-Dhtg{vlsQh# zN2MX;u~-I2J>g69_D5+r-Yt4myJ}y(tw@o;0#F5kZu}m|b;GU$t$^`bZ$ifF?9`$} z?psxS(OG*^!*_4tcq`K#h(j>*^QTXr`dB`f6M#oQfKN`a4A=`3oo1Tr*S^GEw{K_y zt$I`2H?wg8DGXzfBA~1dZzW{?BHI0p^~#;&;eTdM|a0}DVV!@DcT zo%xOiMvme=3|D77{1Z+^iE@k=rfRAHun5)&P<}ABDf_XVeWjX_RMB5i)_T z;#YaZP#B6@feY?k)S_w|v5xomj!+bryE_8})gFv7XDXPRWQD|>VzPf{Z`Q#Qz z+!seKv|oV)C<_D$e>O*XSEH(MZi8-v=<`iQW-C{aCqT)Jv3dxH?KSV2!kk=EV!U!2 zbZd0J4V%?v5^@}RN9lXA{VW-Zs=nbFzR+Ib>B9OcLI_Ai7p1=P*sxrFql_)NsBP({ zpYH<_@_E18&zgU<8iC~R5=JB?F|SQ<)y{_?sC_{DGiQd?SE(~7`M(@05&mx1h8T_D zO!k@55aB(2f{L=v_X~1@By_7)- zj^i<2Aj4%mo$6Nw8-EsNaB%^zknTO7rTMurkyLEZDk22}50=arhleA5b2gz z+5wU$9iX&f2?c>p^Ta&Ac<74CQH+CIx-@#tga3lvzWG7}*<_BgwaiRxb;fyU6X}ouPQsQz!CaIm2`sj34fjQi%l?f&6(E7Pv_8*?4`} z)^4Hjpm|FO2Qu$4764L-q=@cAF7H$f#%{t0vcg(|2u`l%m9jczzcsBqc58*2eN^%! z@4(9gKc1b!b6H66YO!vqiD}Qh3xOy5^MUJCZBSYXN>zpTsKQOdYJPcAIZ ze|`T~VPuRD_G%(tr9?)Znb*-WYl~S=Sk+GPJ^)m^YubJl3bRmz61Sg%2C;PgqpYxF zx{j@Tf;|_vAZ_rZ1+rL>`K0x9^N?`6+!9$DO-!dPPykUU=!T>zGuZYX=GkRY;YTWF$~X5G zZgtr+NQoN07ys$IcSR`EH8O%pd2}wAEXFY&49`9xZ-+E{j0CuY-G(HM-;{+WRYUx+ zd=^`~#snsYJ)%QDtIL&>h&TTP;U_v!*N5aQ;fqgtadE*4-d!-J4(PbVBsBaI9RcR> z*cfvx8NKd`0=(dC&Aghdge=c9K}^*{LZNN`^yvd|!~gVb_Di36b%#dt8y_E+be&*G zc8A*Slm18>ezLO$4`67cGHjd7P=7bhsa$ACJKoXHQT`t!NnTBu@^LhW`IUSRagfOx}T z`qi;Ep`}zTZNfB9aJ6iUKFE7OpE%F(i=S2m!vQMlKuXe?tL#44Wvi5m<9`fEumUg? zJSJ(7gFZD$b(%;LDm2!L9txnT=E|Mf;qv-nE#)q+B{Ua*KjRs-F6XC3*upl3oi` zN05_d09ux=@~G-pyV97P2(6_ah-pB%nTdf*u=kBNw;AzJt6IaaXts_QW@U+=0ql7Z zIPrJ^Qvq;+g$+aycEIy7albtGGsRi0uJaeJ&h@G+FjnNdS=rb~jHg;)+obzjBVsf@ zz;q;W)mOC9bk^%MpiM#{S5}goC^i$W|v7u^8 z*@I@j*uBXX;x)2ci)`vDeH&$^t0<;d;#x3rk= zj@BYchI((IG_v2V<~0%jp;+Fag#!y~9iXpGpq;Ji@!L!{_4WDg;G@nAQS39E2>$Fc z!E8Ql{WPQkub@jy=A6y&ssLP|xG^9fy>q<7$D82Qpr$)SmlT|c7xLnH{Iczz2s&Vq zHc*0Si9pkzEK0!S${kfppKoXcU`=PHbQM5A7J0<4a6ho(#QeKO5a8%`f8gja1Y96T z-DMBvd+9_0R>;4!Hki}`dKj)*=FtJC4g2A=f2w+RIEY@c-mF2rTyWC?uqX)$3CWs( z=#VD6{l)99WBaC)>)*Ihz8TI!0SEjcLnGJ|Gk4mX46O}F=g5HQ+<}lF541VqvnOm2 zVbP-mT6yBVS#8N&g4HvtPF*+7I&1-rW5#d~DpjG~?ledK!w4r!j|28va-fcP)(0t}pji{L<&bBNIN zb^FgvoMp8}r?_BYC@_W#Uub_NmvTr~)o%r-ii2Auo;Z@{V(zn}P|GR(GNOny;ani- zJs9yaZpwUDWT*Soq0i3G7TQ0IP9!u?B!PYZXT%?k%M)Frc%{c$Cw(%k3t(m@+qq_t zA>(@3zaK_&+BFJi9ZGRsb%6n+d+1^~3$uHZtaBLl?3;F15SwLz6}q?bzkp+PzWZ8$r-CViDXr`TmuU?j>-0;&-y`x0mwx%)}mMD9!mFk#f6FEq!!ZJ4hQ0C|y|kvVx+gOuS2 zXwCY)$q3~YYdE-%b!htj$-W51mA$HSOSU0f=wC4avdRHKpTaL{9JoK+N#S!5sTigB zH;4R2T3_$!kkn(ue0lz>6j@gT;iOZbjl_6sn-)}RT#yL1k5mmOF;Jk6YwyIHe5Y5W z01Sznt;sLLvf}tey!&Z4GCs4>(9qrfV7#A>D>WEN8u@c${M#&Av-VkzntCI!FK;gh zZt(hoTzwXBCtw0Ncx(rl1PEPv={RxWCV^r34;H|60lYXtD9#o_8N~edGZO zb&(<|=b+*MTTq=(TKz9B!(F*|53r6}9)83WKXhhS&2Xw$0_sC14{sETFq@Z+LSqI= zB$`w8`=40SubDMK1@i9HfQiMAkH+lbof6o6ZCv{uG`a7ap{o=u zoL_l|%fU9CqVN!?f9t1ND-kh6^@@)UB>k8;B6}Z^p6_2@pX2lTcK>_2QM^NVT zo`)@#ae`yTClVmqx_EK%3^xr$g2X7vzx0_EC^v?CCi%rT7loRd>rQ>;h{*}6C%SXJ z=fiul=Igs+b$w1XRwp=^tpEb8`!Y2uJH6)c4)pi;l2Srgs4Qq5evjYPNO=}`=t6ZG zc6=?<>CCyWlD$@A9BiUW?{zuF_<`@f1T$?ok+4&^AMe-2SNcTEaD0RKBq}9N?xtWC zi(9dLv4`Qf$RPRNZdRYM)J`6RoskAVvefL@X60h>hpBjbpGU1R*nJm#v}WQlIe&5t ziY+B+NMe#8s09TsJdC&E6ld(qLV~x8H8%1R1z%eZ-=}alugnCwgDmJ5{`BdzVI?~i zAON26-@dS38?raa{X&J4)P2mnZ`X^y{^302V? zYJ_;~wi!Xg$DqF;7f37{)&`0CW(9B9{7Vh-2)ta)c$yApH= zu?#vLuRJeUY991-{XB&PyN6;ykE?S-4(iVc^YWCR&OcK3qyI)jmf-j{2^kp}+7qaX zKe{2dawb&BNDI#SpbvoJt4xpXgTCUoG)`CMi*G!}SI~xg&PNP3qXG2dM>f$0aCxmg zyjKMi8N<{Q9=o|Gt$V|Ew_jASPy91Kh8)T_rcNW2SD+^QesH5@_Qwok&WNV<0rwI? zSBD+lio+UhEnJKQu7$s_WGW{`Rw&vDx@ zlBI+w=pI>nprjNI@T7EuJOQ+!ZR_x_?tL;L<~Ls2s@a>3z6xqlcQ7sSDT3~=f$r)_ zi(_qofYCy&`Z_ll%2dQG-xUFeJm74c^{p?v;`~d|k;@*R^g(y%ixpbMr{}wO6Ulsa zkQT?qyJ$b_9qP|H%M4zs)m)E{bc|+Vb=9YlP*ED|PlHgb#PQ5c9;9vJ)WrU7o=M~5KQrI?3(Y7@}f!XcZkKk#{6KafT@fWU1_j1?ld0pD3 zN^vib8Wco=yM;tZI!+YrK7bZ2AHu?GuEn8Cl-9z#j!jgq_RXB24_{3+zG8Rt%_t4u zd(zqRnJv5`&4aqy$+h;znV0%WXzS}lCy|L!+O*bl_1>SYT;)L}mAjdHS)Z2Ta5ob4 z6J~lmTiUI6S4+A)*XR0d*mLhmda3gD7F*CD2CjD|6xocNi<8dl*;f1D7975SKFo5S zI^kKa$Ki)cEIOb$(=h!T><8AZB=QGO7^`lU4=$Hp$$@{U16#XvzHwqj#^hu+Yd_RYpHujqpG){wd z^zQhm%ozd4h${2vp!rN^9jld(%l4W_%EcLOrO|IE_j(UFuJ4IuF>*aMP-qci8fAWV z4eDqDoK=4=S;kZ|wYf7$COZ{!U9kmpNGE<{Wl_uH==MLVWjT_}+qogQtNf@kJSl5#6uV3oc3)zQVa zzG4nsnVes-{=Of7VI}*qWW;2Q9hTT#5i9|lBhJC6uLt+d3%yAZl7JOx!9vk>GX7b` zv!E_CYcuyCxuA($1Mc~`?k%sa4@_`QF6U9;X-JhvrbGFWO>G@XREiUZOu4zq@!)9d z!S~v{9R`&eN$hhx*fQA_YF24Cb(D0;+7x#a9`PEQQUqJfbsd8u_R27*+1r7xqIw)^)kdEDm9A5tF^6?{Z#8D`P(SoS4OiOvht${<;y z%B6kK3dfiKuzqk(p+)_BZ1n;S^-T7MqiJ@_42c(|7p5*!;$|a(o&elvjP9lvqoA_~ zBut;^pM5{gPYu;!^6tHjpM`5#UKmu|B6qWn-cIY#iW9TEJfOu_wm5eNPzz8OI-a=2 zmrZN7sV&#*px<$Lsb4u5=dqT_J7qOD%n;F+RFk!C{)lTy-QO}YQAjVBt(Ho78+y?n?WYWNLontXS%g1K$}Q*ya%OU|iT9{*1#gt4uHOK24TkuArG> zd{HUydLo%vg~8IRXBt_@Fn6YI%^`3nt*`XRK%j+*M zTzaM?iV#EaVW6W}RF>Fr;7G@AUQ&l@MSeXnmY!-yt#q!#68&bQiluwnH!`&6&B7^r z$sM6{eokqF>O=S@4|xf?Yn@4os|ab!s#MzYgj%(ag7iA=eH<*l$t(5))cAsVWp7yL z?UL~M&T7kaeZ6l8)iM`6rP~&aI~Q?eH5uP(9A9IWog7ud$rkT4cYoFCFGJ^HRj{W-Sd%|p8*tqJK1mqB0u*-giqOZ{mcd7ekhF$(-?r9C7a zD;g8}kAjvvb4+kt*I!hU2?cPIueUdm>8MOYo$kOrD7#Xqr5J&3RYe_z;LelfY?fk+ zZUz057V+yBeDWrn87Mvo78vBAH_AHMj|ZPf7hFKz6d%n!1b2}EP}dR}c6kQJ{GiUD z_W*4|hZf1}Xo0?j(%YyNEoM^}mClOTso=OuCuenkl0L*aNO75Lt^8PT&C%5h4B*>y zYrU=0{#`F}eSBxe92UV};HIUvn!c-*Kk(9&;(862r?Yhw<$0I={;WGBJLKqG?94HTFPK;3^937kxcQp^hnSC@ssntN`M!@p{fV=tH$t z{(;QsZvBO+WF{rcP*N^Q9GPq)-9V5Nh*!r9}u z1@`$tp{}Bgw`@G!SPb-jntX~yr49Pnb5kL1M}b3dCMW3rdEFp8CXZ}{kG&oX@}IE# zcop3Q%ZF^b?DfE<6WEtTuDlB&wpYDH5WqcpDsQ@=*Qb>cLlfB1ZD(naek5K{_UN}c zFu^g`Wq0VVi5cvh<2)^&fXe{igOL^ZGlaBoI*%t7m3F!bCBO0cZI?HgsG@g$&D-pL zV(u&QD2QBPbZ$5|?os^WvlXd)DkT`UBWZV}7(c%rt+mEV^-j`oYtQcE>4(*n1u z#iv5lCg6XbxUiJHl=!qPN5z#h(J~~%PVJ)bgc1xL%g-!ND$&yHWn^yI!@+?Ew%;p= z8(h}{b=adW3m5N30)wZLs)QZvdGm-26xypG7wu-)8;NY91fu4@N=3aFl`yaOpeqFx zQ*3=5gx57$O5MwCSCe|h4b^~Rc}swz8x9YdHnn8}jpl8Oqx-L|Tr;X-qOALgxF?wc zQZ@L4UD8e0s53_y=zZT(Qy*k2KLVw3TmALPN4jJs?WLjXQyrB@2!XFgL^$k@FZ<88 zb;@r{?&gr@@I>cAVrV{owzRb=~n)zVAOGM+(Q5WUK7RNaSQ3WRpD;S=mYUNH!T6$qLzf zZxYGgkv+4Mz4_hG(fWLU|D0EU=o$BOU*rA0-q&?Ys4eQ}!t>uC@=3ImPlY7sasee6 zTM!iY;X;cZK7v{gW2p6}UaEiauWxx7jW}=*M4s8MJRMfNTHB&h`|V~&dEp=nfHuF9 z(I=z)1&8^ghhfQ}*u=mtGY=o;UD3`-{Si{{y)y@j=^p+u-x$d;NfE!ro_G z;aCRj!YL6Xm5n8JM9I`aGZ}_(F@~B@?Y}u@lneh^3h7}t`lj>5%;k91 zab!nrx0AM@os0 zW-Gk9J~)+`bX{2-&Xil!KXwG|d$MhU3Ja!UKBiJG5|os1=BBJe{}I)X{)0abvm5Sv z4&9jF=k71ZdR~)MPTsf1nEv^EpX^%0ZdN zfEquCLi&J^$&NU#-QeZC>n^cRGiHD4Vd8Z1vJuxSp!xP5w|gm1WxfsLMnE8K#@JEiPl^aUAu~x^NZU-xMM?7 zdB)Bcsy~j`N;nO3mt9N;p3C5k|FrZZK;x-<21&!x)7`V^2a8mX>0iC-6yit_IGpk4 zQT?$SYcBJ!FwFS+2z~}JQC2A{+kUk5J^K#!jrP5|FIYm=^ib-{W5SH7Y_kw1K9l~P zfj!7}ySivK_Mz}10L2T;yw9%<(-x_o(kC1pq#hlHAIjX}@bvTytb7okZYff=yznhI zA)WPgtIeh5JHnYN8ArR+%>23UHS`+373gSADI6FNri6pWZI#MsGYl4X4#hTZ1=iWo z)`FWFv`?YB86XNk(>$xJ)0z3HArLNnoIoaDtk-B~bE+u`L~8{AJ>p7!3wi3%a|;8N zaM;6c2bkpKuvi_{AAxpNhq)|qN>9S@61>l)E4pjJscjE^ifSXAdj>Lbw{s4Gn&OS~ zL)qBYh}Uk8+EDYC5X*ruql1MsXb=Cj3cfO;O@H&94)t3=JP@a;qk19DB`JufMt*>>n)U zvRU=G$ii@`K~F{MO^csT_I3FzB&8%EB&deA<|bM|%X1E|1QICIU0EmhCVY=7tDd3S zLI9cJ%wWa0nFvW)t~n36ym*&E!JRc2=@tBP8wgo=QH?eD`8nx<(&A8)))SJs7c3+KD1T*=vcqB-7>h;8c!2cjWspjY+5 z)6t^Lz0$?9;mq_|xCVFj><8;X`a~V1aw`!IrD`2j4cUnS=^BxH7rx`yM!6SLCei@jxA zctPx29}7N7>9C|<(-1*!)hX-Js8xRJZ$I7`HNuNzdtP2^{Zm_mz}&WbGV;-GE9lsj z0z#rsn}@+ah_-EO=?b5puPERAkShML{?j*WMa^&P#|?g;Sxab>pScCTGvre+-!&CN zXkv1X%=MWrBkd_8$W?)Q_RHbKX+mu0-MPZMO!LYuv$JeevloEq7}m4#z4~zXCcRtP z!VxD6#t~G;ICAk`_(jRO(k6Q1PYswZVKXFD9GmZduOQlQ{&Ko7@q9a+t@ljsCPe6) z-G{Ka>YSFaow+hru`{jEtI~E~J~UaiDqwD7ToN}=1rH~xD$liXkw+C5FN#V2@S~7Z zbCsgV;coeCPo;G;r%Qc&yj{wy88N@AWWF}#lE?|*^0mj<>>Uh0e~3La`RKPvDN?2D zQads#Qcr?zddQ73R8nB5&hKS^$&~iqy0_xJFMT2}c~_f~>Bf48Z9s`$<0jyAL$aEG zi5BbWtu{ld=Gf`tyTfRFqFdv%wfZw(YYlHUI9!UYS@z>BF`eGOD-;6wmN!`kwZnDc za$`HGZ5Z98_7&1P6^Dd=e!i@>HQXf;{;$V3{EGw4*M0^+xGk7+se+(?M?FHYvP{zI z+uD1Wn=_B=(}KGK|vaynFV>KJ7#t%!*(FW&KqC4vQez9PfJuCB=yoy9^^jqdj>KCQ`H8-g>2JFO;;Y<`qLRvNlPW#seV zLC(%oRR>zOE!No=s}sY!*J79wjyAkcEUl5UF-1&bE}N&ru4S!uq!X$0Ggb#7DlZ0= z@dB2XNx3HMf94QqiNzT2a|nyHk35LT&dPqyguP=p{9GpCWJjfCaC@`OQQ4W|y6P&h zuU0jeg6YP^8C)0TkM9dH+OF!P{4TMvnP|LAj?x4h#uV%ES%bEVy?p!YtburPK=+RabEAsVw%5rP_iqyj~?<8~_ zLqTZZMwL?8V(pUPwxy$%bk>8p$Qx!O@y@xlGm4wfCMX8)UZ$_HJ|*qVH8GNV{TO(d*nPksV1K&WPaHR%-hqW_mcZ+iJ00JzTmn6E0ylx)LvBft_l%Ld1|*@+fymSb`E;OmDkWIT zG0=)U+BaK!y(UjkfGG2i7MY2~YNOq{g_(~T^sUV2%xsJg629Tf!{=RPgX);qq9JLi ztJ>ZxsAaV(oCD}veuC03Hr_`?*0Wp16Ud*^-N&Tu#H9QBE(YYCOdmgbgbMWcTmKmt z;PC(^IuKMbIRb{T81{c~tC_SFa0jzn0KR4L8;;Cl>hc;UFn=-KkzHE4NrmxPy#6KF z3j)4U17~($uBo?l)HR!&pu?q10U0Rq`|AZ?Z6qG%GzhIRQvbeB{RX;%T_;tvaZi4Z zfZM!UhI&ou94i?$dIT}q9b@n=@+0-KP)FHSXH~iwyP31&Wc?1ZkV7W zaPV&0jyM~xC_Si8;-9YGKI?pk{z8DIJHt>8iX>sVE+H{*!x?FY-BkVkjc)*9YYG_4 zVWaS_)=~c{p8d-uc)k|`w0UtB9}aMu&AsMS2PD68LkEFQPAbFa&!8Fwx_p52M9B8O z+}REY5g|V`SeuILEt{c^x&qk9&>!Xm45A~Yet!#@kmXyI)z>Ch&Hfn7?a8VEn9~NJ z?8++aC9w70LHf4uZs(v40dBC1omll56F6YtUC8|PBN3h->V`|wkoc2JcrF+QNV>|dzmk?eSJfki#>ccubD|VmV02!( zCYK_RMfDtBNiiRO7+bG#oJ*o1Nc|ZBbwxp|@z0M(D>P1s)A4M^qq{qyM{+Z+Q(bIF~CQ?V=ak9+XK+-9JXBz2UVaD z!1UxY1XO(+983Ct^LfBmSpzt`Wi8bU7jy`q2BS3ne-_Xk z6QlnW*FTfuu}3HeNSl9t0QRT5)W-uYF#>UsMT=L&RpY26d#s}U{izH8rQR}Q#XEF- z|9NM$ELb|LiO}&jt4VL-t0SZKLltt88L%o;(BNCRKnDu-W8~JuS$#xX5=9em&j-FvCxSdODG7CRdRk}f zo25scgi6rZKLDVfV$hkYh&0f&ccLu>7=x{+k0h;)i#QF>n0v?U;Ah3s7eW z0$yO$S5g_Z%pR;EZ^NI=2J*S`tB$+sDeB?*j{gb+zaGtkC>rq24vTGWi`@4d+p;(l z+YBwTO0XTUn1K+%c(4C^2_M*C_|mWad*h>f@!GoAcbUtHJhDX6sTOLqer(^ zno`lgWY#V)TLQ4&f0}H5e_0P9jQA_|dD%mi@>j%oBCKB@9W`I>glw4;1firrc>$>G zNv%hTM*KoPi`L)&B51MU#|`D@URF194}_ZW!Gq!8q!>|!g2@T20>a*?I%yq%@jale zRsQombF;KO(4P+)qD&w`peq9iGj%bz{HXSSd3CgsE3~Mly;JXTR!~0R&)Il7PL6#U z+xBla_fK84k~D|j#9JpL_Z^|@4~b5`^23vSR)e&eNxb_(C5WGgocj}ylG#IJIkm(3 z&t?m7dBhT`1DPvDxFKjnMGAqztk21#sc$^u_@xF%Ah4yiITWTfx4KV))(GT}Qz7ZB z`vAs?-KG?QB6p+dCw&0`#Tfv_t>c+`rV-wSM)~omAX!E@C*E&Bv}*v;90&=1IS7w> zVzuh^(;|DSpLUeW)6K6PZP#ktn)2Oju8+~hAn@q1m z)zNN~VU`)GJTjid@o3D19yIyo`<)ZRekV)NGBXN;Zv2e+f zxz2T6_h!+61H8yci~an;B@5fvXEUn6X9j(e`>V%=YYVt^p=GY6V+YuwXusX?q&!e1 z@;#fDqyQg1ztUaDxf_R&R4!(~*?l{Z!hpI7mLPC z8{7G3C?`kWxmVbmotHx){}oJZ<#6SL8l~PU-ix`?Z@Xg8$`3r{zMQ()-)Zvo<=2Ar zfx!G+(X&cx#uzh{H78OzdXQefAKBgA4&#Qjno+JV)TfhQ;x2VeV&KPwT+lTG<#e0X zcY}3f4WbVoTol9BJQWT3rQkQmR7p^d?iO;}9$%BPc%D~!c^}ms9zx_nI51ae(8Oia zRf5;HKtmWtaQ-D2&Ges}#JSfpyi^Dr+OHiBeqTXm{Uq$Mk4%_SNwcBEDcnfsyWp=S zKkJW%}t;XJv zE;jxNRB`wc@rWnLNFoxJkh+>~5MuYO!Xgqc}YCtBiw`ZDq+h5CQ?^Uf%^7p7J1(MxnoOWSD zZ7q6PJ)IM0hvZp@42$$PNf9`6cTcw_{3v2W!KH1`Ga>_`-BAIQg=TWw$zU#$mw^bk zlwz&y+Fr)d_Q=|ouG&4)iscxe8xM+^o6e9eMl5sw@)wdjHXDelbE`S2#=B@|BF#oI zYHn_si<_imE^g(=g8K`T-sOQJfUecUgCw($ueCsdgX5Ju`(#AeYFmn$P@_g1#e0*O z1)qny_Uj$+nW`7P*}j7nf0W6^uxBbSx>c1%-HzuqV>Y3+Ls0vn+v^-BvM6UU1}jHg z!Fr_2x4uD-{L~HZ^91c8;gfhueMs%gLaj$cw))j;5Ouu2yU7T}WN)D26@G%H^Vmgh^fbKf*wJz?jC(DTk8m)BuCAqEt(Q@ju z=4XZ%F?3#&W7n6D=F@!D1$~SSj2jQ=yW&IP`JTWpF}D+-X1iIFz+SyX-b&irLi_5G zSZ61CTwjQ^uPNY6+NQPq6F&KHvQ_4hqMN;CE(fhO6H(PG<2?dMO|YhCIe-T}Og>ry zonHj9l_&5ULUw8-tWLu>9_+oW<#`k*bl~}wi*9Q*=Ikw@q}PvtPeq++1lPjXk7!?0V9?ifT%YomT6?4LviS<8 zUylf*=+kDg->*U)imolVb+8g$N~y)(ocX|THnG5HVjAUy+_5oQWv{)t6{}?I`IZ_3 zBaA&H<_O;xbu;R(=rP8M)sNpEIj@(^#jka6o=|P=eBLXQJ5{?UxN9q{kR(Wx`x}kZ zVm`n2jrPM5dv4|7l7&KY)yz7|Wh3U%#bsBbERUz)`%x2Pma&h9_6du@>r_F2-+MKAL=l>c5>{EJYH)Jas5QOdVd4Prw#gFWlyoG-9QYeuI~+NDl|Ne`6|E| z9Np{azFqz(Tr+PI63PAksL;PW3_z!8d(;PpE-5t}sUH7V8>c@`WDA8K0gV%f2iV?( zKz$5tGeLMX*NkI^Wu^%$GLXtuN3L>4{lAw&!_a5r$nU~`tD27>VLuJ8E_hNfdhhTa zZbNVdCnYUN332O6JGJ09(P4b@daJn+8xvBs*SpvcC!QCb&SpE!?dm!yT&rFW0AE;} z@gI>r3fj@DBZLk)*sG%8uWGre*ugsF0&Ez2ch>+o7Di&VGN%aZCtj|4cHwCseQnx9 zux(B+>-v&eYcQQMy@q}Ivn|0M>m=$Hp3a+KtIgDJp>!xqnG59GWLtwHsL{|XGH)nE z*C9?0b}S9Pr4G*V0G9Enhm>B=z#FVu5%$kA^(XJ((*RA1U(BAUsVpJuS;(+_oR~m( zOVfOC7Uu;6GhJ1O;62nM|N22-p_{TFB0kBkXX<<9Ip!F9eAhkd5!P9>J*l(%NnHlw zhYmWck<3HhSkBIvy&s?I{0HT?fMA=E1bE!(7Mk1OWxeZtMkd0qpPX#-v; zZFx2}hANGW&iv^*fp+aP`os+V#%qraz4AXsU^i3m}Y1GlMWvtR$ib41>s{ElrEgB*TQ$^k@0k^V!#fV!yxH zYJs}1e{CKQGFZC4=*&r9lP>}GVbM3on;U5QpL6Ll_ zz_Z)V$G3wezK>3^>w04ZH#-WmtW=x0hqJm?urHx*-}@2;U*;UaUylRsl!$}=F;xV4 zOL!vl=E~iHSJ&@ZOy`YdtEjAm1>QSS>~3bNhN3E1zgy@;j07|7ATmsH0M$@H5Eq^Q z0NU5>+$(g4Ql0NuK?X~%;F%;UN^+KioP8OqU_`ezQ|$x0CtgfQuj=ca6;vIVE(4-< zIPt#U;lrqG1-Sc5Ah&8f7mC7a+IoGp-}Oa7zSz&rO-iR>fW*6&hnu%k>^ut))!(l! zN`t>~)$Crq20OC6E%`;^Osa?X7j=tE}RuGU>0-h!l zIEk#zt3XhW5XJ;0G-j90gBCBi5^b>4nq5MKTxX?fYG4J&@AU7tQ5bmS*CB~7JP6E* z@eDeAn7l_y*BRWXd{Aw0x%vTXjKtkTk_41V)-fH_R@XUXT%zFcZxBVVCPzo(0x!t% zi3J~Q{AfkJWsj22XkQQB!Urx#aN2)2-{?3@2qarxpqZi5nTMtxLuP^ciDkye?FZJO z@%V$MYv)Uey-_4~brMz5>YWNL8}G5`dIfTj8faix#BbkB=1@?ueW;^z%v&)(+*Ld} z4ZiQtL$Hx$u16Mwz3GGwHZhk!ya{=0`r$iS+_)j;m{iFJ7oECFJ*NJ(NNs!=7Dbb8 zjY@Sy6M^wi1_{!u^5?_pnDVwLiJg#TdIoMT>zACMsf7%^uUVINQ2SX?_V7+5QI6V; zvaVWP&fa~aP%1o(6&7Hgokda>FzRkYG#BMYDjg@q%q6)}hbQG4NdCjExA22I1l7Oo z6Ecg$Wps^hhT53z&#f@GG4V_?_{za2Yzy)o)qwd%&9J*0ofxm%tw3Wg4hR9f7YXfh zuc#MJlRNzU%#IGCAP?kzW?C4)Op=94#6G_ws;D|KTG=nf#dM- zmcEGXt)%B!mH7FA0f!6BpP$R#G^vR6dy9bQ2h@w&rOsT>D_0%YISnJqc$vSgOz6_D z{u(?n02D-wD|hk?fD!?Y5&Uo^%K8(dcsX4XJH>JP^*Scfz`FhyR0VL-Kj{c$^GWU` zJAQRf!W9C44p=CPBlqY^xemoxhp2x%&XXFCK5W0nv`(WZxQjszUU6u6u49 z)0uUx=B5LU-6wR}aYUer86gTl0bIQtfC?3oA!{{uWVNMpT(;miV+8Br;Fl6om%cca?Q-TWO}Iq9R~x?wsqR0Xo#qW+sSe!5S}wW5x42Z~xg?`=VJ zVd1ddhzPZ`A_l`k=zwAHC`r=7_(Z7jx1^AcPZ|v@%eQ1_CYQdM+BJ$1=J^hJ|K}8? z?s)f9f4EbOD)M1Ys8wQVjdyVQ55W>)8}ad*pwpW&lwI=7`G-h=59QbYgas@_Wc`oc z956(%X=&7V#AxEWz3!$}qw9~#@9%$Sg1_Hl6$gW2mp3mkohdZGF7w!1wko+a-zGwk z-KF!?yN~m_?%4uQvmqYQ{%E`e{@WOQNV_s;``q%(fMJgIn-#Tji$_T%@ISBtWz8ZU zdVMsH4ZT#^k$bYwhrYJ(x|q&MSk2N%u5o{Cxiov$Z-rJ@m)P&<_v>m;XG35^u!fX5LumBHE zubz0+|A<`Bz&R{g?*&-*Ieq}oA(0A} z(O`*-2c3s>$nBZYGTK+i`$=H`Dt}lax46M|TlAdA5KPPEV~|ZxBeTKC$L-G~-5|f1dB6^%R|1yE zxlK-iMse{fU!|14eYKmTo!7}b4XV0>@7uhkCas9+QL~ph=$lul zhJLwfz;=pFNa|BOwwIRpn?s*4?!B0JyT(2ckyy{%?6gFatAp(-LB(9F!`PCK5Af|* zfp2fWg(vFa&Wa)6TIM`gmS7Psl`!g>V}#VY_e!X~?BoB0%Wlu0OtOMbHF9|R#Cue< zB$An?nPk#rQGeO5{^F*|`a=9Yu)EKDNOdL96{UV}s~lrC^y4@4Y!Jm#8x^ic2e)M5 zko59(SH`gEf8d*y+7&_R!%N=eduNGb8DzF*5kLL@$z{>{V8-{O_DsK0V5uE0-&1Vz zO*GNBwV|e2!(NZoV!ZRo!iMvF1zpH(4~L~}>>3X1!ky^q;-x$rkl)B?uv`L}lpr8S zdbot*k@X7bSOeei8BE`$GN;Y8%_{WKeLwk7buIk9ix0B;FFJ;NtFi9CQIiRYF>Ki$ zmx5j17C`SL;gOQ^gpu{a1!R2&l)}9^3a|`~(44s48B_ka^JQ3Q{M19-4P<>U^sa&~ z7_SjWn7EV^BLL`4`MZ2}x3E;IdWG#zu%1AO{Ois0U;i64RY1^O36GWG>cOMjjeVg6 z+@E3JB}p7KTbzX~M%jl^ZPlKbL=5eM%A!69A8;f7*(pZ!P9i>MeOh#-q2Va+2BjJZkwB-w&Fz1(rbx2PBT$TliPe z{Yaw)Ok-{tTd2e{AxHIy=yPLaZ_%!Eef0h7w<1YVII*W%Mrm8a&ebk_PKnmzHKsuG zL`dvZnS?2F;x+rmZ}n9rVBwOaq;Cs@gWo<7W2Gd0Pj6SmQWJO7=61O=~f%O1>PHM}RR_ExEWYsPCH^x!k6n~!`CW_w;60)wv2)G&jN?uU6x72f@ zpRq5*ZNx{}GSpwLMqj&gR%XQK1u@P#`NLz3FlPBwQo84CycY=$U;lVYD1GDVoAb@j z+fo3^)SCY{r-eP!rXDIk-2!eF`!KWegqn4gE)la)dB<}r{>bofR+JH@CO>&BBlTfx z7VWKD+aM}0nv@22>WsB7EG?+d7@pZ^oTy_v>|{b37#dK_i?!czu>icge-N?6Kj*i2 z?7=X!eHvBOS;kG31AoQ`c2RGc-bAyUV``zaivrNS@Zl&%02opYc~{r#UptSkHE53ATES~nWS|l z;W%giB_o)oihq&t2%lQ-zDII|xWSNnXjptC{MLbw&_1z=I!$O~3`xP||KzcWE+8~U zgCusT31;tbc)8-GJ3%)dKOPU|n=Ku}bpY4tK@?#LnW)=%tX^gI>gl*DZB#7pU2Fvo zFlb*<*KS-#U9bZwC zYyTmQ@ae@$+_H&~yRcZgL`fw8;Vln#yDC0`Y306k_2#NB8sj${bmF+I<^5IIQaIpl zHb_KbGw=nD(h^v(M!88frQ9CSU$_2KdIR2%+L(P30ti zIMtQ9b+)9Ekw^-_RN$wNFnJtMhV|GZ#XHJDl4wnEqdg%HkRZXJ2qJr|IM3PBH8cyd z_3y+0i;P#$aAM(9m#r&1n2iM#Rz1_Cz;szo{l@jZb!Cy4%m`Ur(ej`BE`%Y5bdxW_ z%^uzt&IvRg&5D0d*2BPe#f~X4FJ{4QDm<<<8I-FUbtWB4oEiaP_L+@P47m7p2oet8T}RJ=3H}^YsU@Q>bga{o&aJ9 z2gQPQZNI}VI(H7OtW46T$VsgI*$yVJ#D2!798ACVz--@D2s8Y(@>LwKmqF8cI!4)n z-DN{?)_&K=KdABPJW_kbIQ8lcGt1tPZA*YmtXmn)C8Dt@{0aHU9SCO(G(#!5Bz_`C zD8@7IXSoQmjvk0tj=+<1J?Vnq0+b=`>*GFly78I+0O(@!HhK>9)=gi#V_|s%? zN++W4!W!>W&$1C)&S8ZK?hW&8$wq-YzO5(yv1hMLA{|=riP7%sn?o3N2n2g18;y*O zV6oYPj0__aQDJdwZNZ=3jnHc=yD47SrX2o$h3cR6L{RgivCeXrcJ*`x{v5PWX!1oo zqwK!oL55S_N+PwB_|3Ej!)=w|u|}mxqLK$djrPOd7r>32(N1vQ9^Iivr??2th^Q%= zB7SVw2<|g%kgmGAy-B;32dY=4{~JkSKyU=?03-0mc`C=~AqVX^Xhkru8sh0Y71B1| zF1;)?@L%KeQVGC*%v_`YAhI+zJqBpj zZf58R=~9wUEjEbUzE6Dz{l^9=11i+pJkhgx;;w*lMC}mLZ!Z#g8c9rc&#G9OidX4i zc01}$nyUD$!JIk|75X136@bAe=u3eB-SdDi(&fh+#8IqADCU-R$`R*p2zishWq26Uhxg@UddcOkUQBn-~yias2o&1Oz!?(8; z4Y(woZ*4ib>!9*&7aSggKnSH&8u;+nYq*%-EwAOKJ+^g%vXmU@YN#Fi*OyPUMJtg3 zdi*mKs1m2EJ+aSKjHsVQcU0(bS>bM>ICO8JV-UbtxtVAZb96kGmSWr_T=BT`{6@t{ zok^Ey%SALCP_W3KOo7|zV`MJNN&0CJzbBLy}?90l0^n1ztbgI15!g9V4?Hypk@>@j1kSmy5;2`bja{bm4P}mu-aCt0*FZheWggnONIgiBUd;qI8m02FG zNn#mD`@@`BCNo~B+91c-Ow>j0)qc4PP>C<1PUpMH1TZquYA;lvE*a}F~fuuoS845w~b|c8nFC1Ph zRgL~4(M5#fp8rw{&$JQjh&>STbjjh0udsE%7iXEw(fXhwGs>`7v0~ZPg@Nuz@}>1l zqyr|-Y}e`DhwRaV)B;oe;qteBxG&f75tEmI|1#41`PCKOPKFyvBg~F`I;`p}>j}u! zh~dwsixW=VO$f`#dAp_Wb@IXTTO&wAX<^2XtRXHS&6&ADh7B|kRb&3B z`BAi#?KeMXuxdS%?bj@HSoH!=@)SHFsKEH)T9q4`djJ5_#(Vnnt!-HOR`s3FZvoUM zCvX|K_wqlKAGISu$EKFbl7NU?bYF7U_Doit#ZJTC%NmrFKi&)*Hw)`i1O$XMO(K=o zaX+(ASV@&itL*kJ5^#_D{^c-qwCliftfsT?($8l+W)I5_WLd{_wpny2(!|UEF&Hoa z$K8ih%ltM~fN^oWj!QD}74)C>p@3-`8T_$+Wl@bgqs)gc$-2eYBlnaDMC$|5%XGNq zR4kn|b7OQ63JrmTqSC>@iB6?2mZ}yWc!*K#I^VEmuVB^JH(AnK221cJkb>uJP7Liu z>wg$Hk50@6565-oJZ=?`F572dHN**t0yJ%`N-bX|1LOe=MQfO=rBmSK0g#)d>FyP! zq@;YdJm(0eVX$G#M=uZ%2DQ_6FXUPRRm5@p08-7x=CIXJDc6r|y1hjeS>5?>p$LW0 zc*vVz$LE$2$G9aNw5R~0?rY)CjOwIaGOZ#>u<4Y`Kz`wAjQZuE+4Va5nt z2GwAoQ>k&?&9wc@lqb+@@n|~sGpNA)@pR`re9<+&{W~YQxMPAyv}V5m_Lt zxn@_U{2I8<0&#SlN`_qsZ7{jHD~OCo&!AB~+kxo!EC3A4$|DPME(1@65VC%I<3^r; zy~jC^V9eVk1j4%TDJAeGW;~g6bOMw@_1ciXa?d)#Y`NxKqQU)9w~HPl_CCHZb^dWT z(!u@{^M+-DD{X@|%E&PG*mbK77R$8J%DM&sN{)$Zn;XWl46_v43h-UM{yK*3fD}{} z|9%`_MMNBYD(^7e!O)BUt}sqT(u(_c@P?Ki`MW7En8w3nr+Ay4ZX5uf2Zj#n+jE+7 zLi(fRIj*;!>wNTt<&*<~&^pMl;CRXh0^;>EwqUsmzk7mGQ|vyIf{zB42%4l^8{Z}; zs677N5!4!JtSl!7t7!pnh;9w)*+Dpg*UWc6TnGpge3r{^O3VC_jtkVd!R$5_KqtLp znK<$$%F#j<3v4=vRIbv1)I9-g!@Y04MFe~=o|dsVp1K8jHh!Z9M0)Y|IWvC(qvfCf zj=9Xe=*1vkHv$keAYF?QE~wZCi$;J1g1BqlP2xwolQjNi8tO>_K=WWCA0@T)CHfO~ zefh-e(&PX$2t*J-;1q34QsjcjM;E(*3GM@j70>_;mC}^CfMTBQ|HL%%UVfP1@$22KTMRUFznl zbCA0PRG{V%+A)@=Yl}ozVD#etW3~{_w`Hv(wem!@OT+@~sCtPX)V`S@C!UyK{q= zQ+pgQP5MD-l1oLHDB&LObj2ELlxxieWZY7 zQrK*M-~}6!Khs?q6zrkvfE&5(_qz>qNGS>fF%N(pT%@UiqJ6j3YgWyZ@j&c3 zOM^03VddDpy4@4;ObVu^WqYaTPjWxlP^M&O;W0o+;^e9x|340%g` zCvf?dp?MC=zlkBWsYl3e3KQ}T8Kz(2vV4EnCJ41d(g+;iEa!r)w@1qF7?AuhHId0a zTdD|?nJ2BlrEAdXC5hHIfLCM@a45K}tu*#QbVZRJv4DB;xax%4rhDjrK~)@%my7ar z78~5suwcPQJz&9&WFA0J*lnCW*__D9FI5bJ_P6Q5*46XaD!$}TfX!pXHxC8PAEQ}Z zw4Put_1u!#Tj^`u+CM6GxZvF2_Yu%UP)`f~?=E@dmcxY1z6C`Cu%})Bq@V9(a5`$V&RI26(<24FFaC zab8J;Fsv*0*pU5eig-TB%kE!60;q=Ow(W?`^CN0&Je<-DF^#(L4pie?+vhIq!^>w= z$)ep7_Bxrvc`;((0u(|?R63NGFuiC+DX#omjKYrqmIFvqJ5Y;?MASeiP;6Tu2zW7% zCulM;pmN~K<$4ZwmIRd&fg7}$n7`}4yQ~`t(&Cpqq}w^~G&%#xxD15fIXVC1`_6gf zf`C;9mITnz8-wObO}=`ARH;y%u{#)%ctW>6=mHApY){iLqd*}*0rI+cY`GPN0%yoT zW`-NRq~4cH=pbpZ@x_FSl+IiB8RC1&KX@78j8Pn-dc;i;7y&=2%rT8(baTFtqzXxD z+@*42z!EP|p@qp6)(>klLy(TK#^&IQWnCp-OAm(t`VJHxU+(vp84YWeYG13E)1`aT zSGP;OKTkOTHW=Z++jfrq11%swu*w2Pe6#goiO-yKOE8^VN_nne>!aW6fcU~ zN@bUS@+K%Ry?1B4p4k?3Z+v7gbM(bGZNZh-&4A<<1GIgBS5s}?w~FfRc34@Lp{UTj zC&g@a4;SqdVFg-RoPXJ*1vToc@|qb>&2`A%t4J8r$ThE4K$HI()#{Z?B?>QSv4w?Q znTcNnq$NLLcb7rUZ1uN72VFlFbx7vdSzrDdK?E!%ss6$9zLLAD=_1+h@baG@#teIL zSvL}y+>|e_`1l`&#a9*t$@go^Ka{Z4mW{-X-+$M|@XsaGfNB>7a9BlKlV*iRq0ek{ zs)*zLa~|m!7dPiAUikrTY<7EE%%(XOE6FkbGl;6{;5`jUm9#H=qi;;U{{G-)Rj!N{ zp?AUrsOAB%_P=FGUtt7JK%HyzA}HnqX7(`=ULPdq_04n7dRkzBSF4c|Gnr>S%`CG9 zi)FT2Pf_OtdCXGOt0?j;MvDZOgp_>GMXejT)c7CHor(nzu#k83^>NN7NveLqqN-tb zM1$N<5PJ>B$N!jBC3B)=qH9!vOn9DSkg>Gk3s-aeC8p2ZE69j|S3t;LF z?XQ~pz~!`u*81(I7$24wHgz7^68)Z#F4%gu(G}Z_ z=51o>(`m@v{K>Y)h~=AnKf6q4^_Q7I6~)vl%5^OQ44olmhSMQk=9z;hEqI&F^fc(+ zqSOwc|K`}B-q1~6T*iQb9fm~Ke?+fyp1NE3v~M{qYD_BLWks+>dBOqUj$JS%vB#zA znox!7?h+9BPzY|@j41E6oK_v)g&$J#I@>fZ|2GZm#PpQGf~uw&K*&_MiDe8;*Nc{> zzM4)5cm{g={u;)BKr0|ta(Dd-z^IkOyICl*xm7N?)Kct?Tpu*Wh$F%Ma40K`YlYFSAEPeAy!IOn zZ57T!RqR6D!`RSxnzD}Ci64t$ROr?~stmWE{*E@TN<1J`yN+XGHBd@!oqZ6c(e@S| zj+8a~9}tcohxnrH>S!nmF}_Jo(ZE>(9W7>YqSV&3==hM2^tGE)GBK0h0xn%| zg0{QvmM)TS8PVT<5)HPGCqNJMWU*6ESpnaO)~7jU^+4t6zR#`R!1busuDZQJjKJ2j zzMr#AF{Da8E12OAXF%Q;o+y+QEwU^$fSMd)Z{qLxWgUqv3a;B4>CF97l}7@<73#it zWeBKtY*#;RY%CcWHc!deBvop8<6Vt&4+VmnzoFw0h6;W4qvP*A2OBog^c)JqIUONWv^5~6yHQ2GplEv4?f z!E1R zDop_T1sj#>RrftG?xh8vKb)*^G&p@A`RUmKy!Liaj_9{uJmfuEV;d6z4l9P z^e?o$Mb3GUcvzmU+kTE*O%3@qJ{eU6nr)C1x(0`dZ z7_nI#qFJ4$^58i4dWz|>vx&e@C+vRn4>uld`!RqPNQr3ox+gC&uIw^A6}TXL&Z89l zRhqpx;F!+$)B!OtVi2Uo&&K>Ce_s$h7I^C&MzCWFJ-1 z1XJd$LEuYqPgRi-nE%o)c?GDdMg^9YI3MlpBX5W?$KMi>Xar&rDEWPo3H$d@6SIrP zkLrd~O@eN(9KT{h3MAE@mhG8+^-Etq<02dx6D{55^G3cF$-V$bZB&BudAglbS9U(V zGuSS*uN=d}qn*4B0=Dcs>y3Z$0UEjnU!p%AMarXzybnM*x3XWMaZ>>l4Qeq0J0Syb zFT#jXl`-yo5c3qy;fFYBD*IAw%@t(quTp5*K;I`!MglR~vyz#aLN|Sa*JNynF8!U7 z4+;7DJqAvOJ9^7c?K8=4>6#C2rR*`OX4z&7-dcz~>%|%-gz-?yGxzmBxD6O0(B9#Y z))m8N^|Y+IYAPb7u|5%|26XD81V$@VW;!803FQi|o4t5pWSAoVlMOB?C)sMCg4jcCG-_4pL4^ zg(dL*>t`PB$KadNTL&NRUZamWn5f;LEPOg+CK>4U{vX8Xi$sJYj%7^*_QW%Wf2Q}Z z9eKQvt4-_7vj|KjJX1zA%2UtYVH$5$zO@pX3rzWnM`RIWZ(r|+qy8!5YadwAgNY>U z4Zbo;I)bQY_&tT$u+0Nfb-W+7`WDCN7YGJ;{{g6cnh0XLE4vxCwEjUwv;f8xQJg_Z z>K63eLQ;CCp98cv$t8omrr=ib^+0!QI%Njpp2@~_XR@4i%7U7e6Tc*p}eKLB&OCJdxouRHDge4{@FtrLn*Rnf)}JCBZ}B2{v0XG z2=l}L`@~ln@ol04K;F^+^u)j4;<&OL6mMxPUwtByKpnkR>rRr+rBbFYM97I+$NVBl zR^9%izksx5^lce=D9FA7K|2JYsMtRTK0hagImr4}9f@Up+u+{bW?wocz;+1!CTP9^ zXwXSe*NS4f#zs-6Dk@W;Us6(~f8A1B{`1Y<7$4C6FM23%4^&-dj(d z4J=ny8w#oLFj?-abx``Ze``Q9c_y^Lj6~d_D+`Qe!t_17QGGMwlJZc?| z4JUe5KU;~JF7M=Z94aJvKe>v*0-byw8O`W<)+mPB*@?CuR*Cloh}RyB1vh_i{4}4k z*qxxPpkL+~k|a9sh|1Ylu1^Y9NDGf&JY+y3VQL5!FkO=4C*dME)c`VOIlluT4ZUl!xNy#?+4h3*T743bFL zGe{l8JN4qvw0z*8L@xsJke_{8Bx7Pzx1-7TxDM{NiUb5cBj=^hs1BL@ScFQY5LxdBw=+MOhVby9Fi34@_W3U*4jDfmXKr0)*cC?RExcTM#-eqB^jRp!( z;3pL*DqZc|w>3Ux>P#TCS_+DOKIxm!aVDKxq`BuR zFP1dxYrfgw94|LZK= zd=v!2#-P%9%CeRFWwOeO+x|@da4_#KrWes1m1w3|pDKOkk=d?FAkv*PwKMQ)PQ?yK z&7VOeVFI~ZV_t$dR0Rm5l~>D0d~Ywmf6sn|H;nV%OIkf1k7q@gq5@Pnqc(=`Sy&x( zfD)EhMMmrS$pF>FEalm9L62I3S)9K&pi8irMdNJh#K=0Nx9SXPLEv)((&!-5uice2 zgHK7CiW!YokJn?F?I2}A7ewYnb>Mp$PbH(%GBXaAlSL?IKfNC3awztKj^aK09^D1* zj2_h2AoR4nvAn%hJ(oC>7*L3OVuwF;Rd}acQOZoPLRJyaZg5L56j@RfCuiWo!h$)tLg60S#UX}H~N5sj&93@)0UV!X_!_*B%%4c>wYxd@c=>X7)U=q z2CV<=?x_YnAyWF5x`Efr-`|i=4uAui+E)E!YPd}lKc0Ia>X}*CC;1P;4Df31EA|$$ zCg5OG>xp>?)ve<=?7uW(0BubcmDAT2Bl?>CP4KzU$Dq@2EczHu?)ww?@fwN#e)>c) z>e;&t7A4%_wPH#gsq7%?g#zVK&lIZp0klCEBWlWDvzKTLH3qnwV_4K~C?VOd)oJ>x zuoTPa(0d|OAwyO6fBt)|K|3!Y>@aKK{eaYmo#fMym>^xEDE@X0p?(cf+gMC&R8lo0 zS8uz*-QyXwBNZ5kpYL9u{&8k5_zoUfD4T*Nzw%dQHEL5~QR?S_xzIO~l>2*a9w5D6 zYP6kZ1;9fazylQU0O3jLtwLb_$E`4EaIkwlIVi!f<|gOGTEBwgh6E&K3=8W$8Y~iH zR_6|taQgh97OeVg7aIK64gqUTuTFi{7~ir9oa;JcouPA@ew*?j9OKIKjPwS{;J~S~ zeFEqRoj|-pv+29A8c6l+0YreU0?M)7x>8c{Q5#A=v{13-nB6G?x4kYK(6$(j5v&3rI^#Nvwo)N(#~~(gKqAEb;yB zy??s6@1ApJ&df8<#M}6rRpSdNpu-bqKC9)niO*Iuy=ek^kB|zk%#=>PCOt*W5)!0F z0IFP`x$=C_?XR;j1x-@spkQ{HNi{nH36us_Y5Cj>hlGc350I;?d|BZlx{Bv8m>xnk z8!^`kIO2{ZqyV)im*qHZ-(vJtos!nG1W zUjt)lL`o|}g@$R=!}3KeR=DBj;8m{<8TpnrnUcf8FVGv+JNJP=5;8(8uZ?ajwcpQU z(cK?B$eC01mx#_3wU!>d$m(VKhsEfJuS6b$40)IXD2EbI(rdYXzW@f)BPcd{D{xb{ z_fMbD7@r0SPEm8!@OzFJ=pa>@V`>AT)%|b9f;g=NQm6K7xTDWZf zfhwb(d`V*JFJWcz9=Ljo0}V3oDc=S;KoZfElE&`{*{xLcjGHj7^QxYA)BRhG8lQq_ zrNR;R>a>V9_+ZFsz_%#%K;^RY97E&@RI`93)w$wE$HkRo0#zh3rpfd7L*76m&Ym<{ zeX$$cePGy@@n6gg)Hm@6xA(%AfQq3^jmCLL;7fEt^bkXgmw8#5V5|uTeQ{=j87e;* zxi2&=79;EVnnjErMkYGM=xDg!>99qz#(YP6r)BwU>}{(1e{m>pC=5`l8}^cj+I*R& zGn;Z$Suo2jiU|&tKlP$7RImw=cfH?e6`y5otcQ+~wX70#Mt*K+k$+|~57;#YVm2|4 zeh~sOYZP8yh$D%7q}jAf3KUu38w^Swl}x^!phk46{ij9iNam}x0PpkuYAeQc-WWbK z5;P#|!^0{_F2nEFz-LIWH8$Ha+4ip=;>m1+NJSm-`=I^2?ugjKe!gI5*o!tk$;z9< zRO~K;u?6Tp*Yns90)2OvdS4O@?SIw6CUdCufMG$xB(_lg3cLTt0!5DRQ22d5lc{9s z3u7|Kfn-J`&xz0X%0JEMVR8QF+u8p7^e%vLEZG+^y7*edP)lDDIn{RBB30BFIx1{Ep*=z3oar#BC|=cU-Y1mN=KQ= z2k){o7wPC6!e9-z9~zO)e%9h-oct8gktB2ZgC!YIn-MxnhmK8VX2Ir=Sz>-j9J%{W zjeYyti%ofOWfsTVrrw9`DR(W)KtQkthJ`%x1*de4104x5Ku|f^_U!%77t`+&RgB1V zR~bTx9HX-}FOSHSlVD#vxN7dtn5&{a;5IDa4_{>$p5=q`4^R^G^@JK1*^kZ1Qpl^+ z@*nB1rwnqKfJ*GgFU134$$%|c7tG=6grMZ|9V?tSc}{6TH8LI@P##pc5xKX~)c972 zxz$2@`Lu_s=kmVFLlT@|=sF-v3B5Em_uK(*_U3rbrxUyD+%Ci&6ii$$Z=DAaME}39 z0VG!rQ4X8Q`8ew(%>Rn@9Pa5zYh*LJ*N%gQn&fl5IA?BUUG+d5NprJm#Lf)*tC&p$_k$-&!ZfRzr^4~uH9^ZoZ-yQ)|rt}rX{ zHarM?{Y1NXe)ES)F`@ z&KrJDgZ00Qz?Ig=Lwc}j8!q6C5EA5&zP`<;i zWu>xUzI0nRRL5bYMPK~&RWu0~!2pH(3LCjiB74g5*ALP{;m!g)TiOu8WlVy&1F*_E zU*sRl0nVIA5;B3}M0dCOg0l0KBG(D0|DyJw_t4%FDked%=Y_SI*YB?94Tcrx>-iQn zvjhiRGBbt9?v;Fg@<)?L`oy3QCkC^*kKCu9yfs$fKYFc}Ju2p|huOyOrRK{CJwVn= zr2Q>msBqmZAteNlP_JfD<=?L^DHr+5ENeM9iAw!?0)^-oQW1?(qwly$llu&5{~cE~ zmft7Ku2JTNyP?0?TrMlrK?e`{irY8hm;o!BIdn^a8KZE$B%?NYPGab{53SyC>OSUy zqM>vl2ktm&j?}~066s^Gi&HT`Fpu^+hslpJ$>5AdDj(;PVReNR)TZ*3iarI=-$LDATEHU>fai+MzGk%%Q(_cOSd<|ZNWxkg} zPkDNG&BpoXWvx9J(~SxwH&?(>DPQ3i3_C@|!Ul{cbQqGR zM469D8*Vj{VZJzz7WwqiF?4NJcD}Xn>zZQ(7a-kQ8J@Ir%@UwPB8aNjPYNtXhJJ@7 zhluRbSM`pXuc>WQ`u_k)6*NgDx9?>a(GV~OtzoI&Sd%k!S`RwYqb3<=}*ts zeCh~Fe4#(_hq|!fL}qqqpd^^1OQ@bDe8Uq2CvwO};>w%-R98nr=MV?Ak)_4-QVnjP z6}%3|kxed6N{XI59V^Za-Z2css9a1AQ!A@Z^A>I$xbagTg;Xt$wXjuEGNl)FN2u?g zl0U99EUK9ymfe5ENv6ow{U!?URGkhqu_N_?h$BjD>4(j*jO@cUbKWcI1~r0uoUXN8 zOw|)~Q(%llH4{zz}@lI2uXP0V(=!g?vw%K1Qlp4fZ z|1GnX-Y$>ajq8yq`-J_zxO0;GwcbQv%}5QZ2El3&XK{^Kns~m)hxj{-G4HWIb^I{i zfCXQ-o!HSwi5+Ri#EiV2de2S7fO)k*UR3cmqj(2cqrptuMXMjEsl_5rp&GAktpntb zxMaKoLFMP1#D&Y{@P>nPH0q#ylVm+dfBlBDpm12j``Ct0#8(Gtv}Q6xo2A)%p!_WeH}e;qNL8LBmItGZD)b z97tv$*bgmu9jsZ#tct44o}R{hyhSYBnKpg+iG7}t4b=tg_k_9~(ICAzfq!NQrgj8? zqQFbtjN*lZ;w>ecC754$8}#}^3SjL?iFT+}yN$zuObF3V9;9(i?*y!~|03I#Bqx-w z1g^xq@5cOpOg|o}yh2aR z&~Ocif@v&%W;v-X*DwvffW3fI|7@@<={zlaK~5U=YB>a)C`Q`Bp!daenC28Dsoo)5 z2EtiK)(!6(>=y^`SSKFb$kE$wRoLU)zg83(F_b-vZ^x} zdQWHe#}B#^=!wGwLUc-On$~u$+YW(=aMUq-r^!YgqOR)lACpkQ6D4tYTcL|);?2#C zt4j@IMg#E$bAL%!OerW~awTBvwtpsAx`=qfKEB;Rqrreq1)>cwW$`-)X+7Qc$+6G7 zw3E}{rE4*7E;S9T5f4=(3s|!I)qR(cA2~w+RR%r zV)Z)bf1hYYaQ|b(OK1Emx4^{#Lf(hv&-eVo0SQ;sFeCdx;?&b)Z^S2doWH2b^`4A9 zClE8R2!M z`1up;G=j4iBcp)Z&{G3dA9^y_`n*mLWf4b^JoXdPlD}31Zz#7kts6zd^<{UlmZ-dG z?w5k5`~%bf=W!Bn(0#;gJEQ&Q*V2EQq=lrGQe!s_1U#EA-u)Q#1zZWe(4V=DpsSKI zUbW_X`|}P(9hI@?HVRkdpC~WD;L#ov8=xTWdQni{v@)1qK6A-3Wj9u$o7GF_MS2s>Fl+;Qbhxe z^g41X)m}ew!J8?e_^7Tl;|x-7_H8w$wSK&P=1u}n#RS3WaQR*LpBoTR*uf;ssp>TJ zzp7DCk)#qx9@KW@h+175!DzGbL(FSZn*rNBg6F+M zy5x>Z5d*RY<>>Eix&y=A629-iL$iw3z5PYn%r2)}{s2Z@CemsABez7Ujm(u5N&dPzw=tni_*% zNy1Qu%P}lB;4d*jVlJ+vINzXehX7PDD+B&U9r(bNh0m`Zfl$67^;P>1WD*c$8~WY< zm)ZdXT)?D=7_qg~7M$;3ipzzZqD0^hP>_yedMPdo65c|P-JNA*^U8@!I^o!~5q_W@bBO5Nw{9t+=SYXv^@;_re?5@pcXVE9WHSycaH&1#$ zV3=ROwi6R+{NDlNk4Y2z?ONC%g)MLRsgKo|E&y0Mc}QBPk4(TGmB}Q>laBmgd0E5I z%gWrJWy?eFv?vFCs-q`Be}320&Y#Ne*sQC^APga*(#7!=>q}B^6FBc>T=mAlQ!zj< zwtUH|v1;uM7{0UuN7VhWQbF}av340fNN2tCi0(cTw`X|yjXWmr_c6coW==NGMugqj za*}S^`%w2WD?OMEb%Ao_!F#B8Zdy;arHK(id#IRYxxH0}x8Wh#b&#v0oY)4p>{XyLS`bl2$+K@ejuYc23@|+SOmX(#i z`mmoE#pf3p=FsN40=YNPiO!zsJ! zaDt;^X30+_pc4s@HDBLT1~gD&sI=e^c2Oh+2Fih+veX-#_)^8jaKf`CZ{{-BQ7q1! zhwIlXB7}FN#4E^dvXceJ@m{&z^a9AY?-Fyx<72~16&KoDQVp`Qp{mCBnj5#vzMAjk zuF7IO;?xt2?yfPuB1@B*qJ%f-SwATiT|QbwHa*WJy7PUe8V&y}6CmJ_4Cw62>ZZqz z|G(Yv$FA>RzW)sJvCe9qSCIw$G1|Q&<=E~sez6yFH?Krd5(jPfmU;c2R*&;}#v?>F zBv5s|+}bkBf($9lZXz5QnDw*|x!<(^+hA!Gz#x#2?YFrS^~}KhY)lbp!@5bOuQ~m9tc%3gsuto-3H-3;S9pUr{oR z^^u4XQc0X}f1iOp!J{BL{#nA-kwj%zv|l&4+)dQGP?D?lfIF>@Cx0BA6*lT zyk9|&Cu1tHeWHZ&oHU{mvWrDVQ6pIUdpJMX$`0gAn8EZZ8K+aq|EM--Iy%H7b2&K6 zaz7pY&UJ*$j|I~93{U!BeD4p!M47+_-6#4lYs&iD%Rz5h-i!Q7?_Q<^cc5(lcRmEP zzhGur;>IMK2)E`6*IxIqm18{rChJJ+({mY?5nq5LLJTw+p2u4c!F)TAr{Grf**RPK zv@<;Y`pIp>FVC;E8??ZZx6`~T&dOSB@ut3Ytu`%K?h%djvrunSbPK@9^P&deQm`L9 zJEojJ<)jto1cjr~5B{4a_5KyGn*V~YA9IMEWw{rfOjy zINJ&e`(nSeNi}qUwz11+(LILLFm6V@+mm!$OL=*9)9CaeU|J0GLV@zgR#+%36Aet8 zh;Q=!hpZu3fKxThJjafStcQkVKP%mgyOYAD_Ct>yUuqi@)Bo*73qaSw>%I=^tKlX$ zAeclBv|djQ<<1f>z3IhI6ER0gm=}S*u|*l&HW3UuP=I)*+s4k$Ze=*j4eC&VU$vuN zUBrQ-)T4KaYpVMFE5 z3s}$d^FkhzrL)a0j7QpUkg&}C{yjE@y-O}%oV@ghB(CuF_fkBjYcCs2jC2ll1G_}R zbc|Q918NG&k3oi0wObDvUjRQ#0L~TD#C3{JRKG?eVH%`U{w)cctB%X{O4FHL8|rH4 zet%6&96!VC{5`s>Yu}=a(5=_;RatK*FtYGO8cQMopcouSBB&Imd#%BE9oZ?Q@tUos zy+L$o5$Gs^i;WRpYA_G$zRr#i=pyU2$y;Bc-oG%o^2xv+x9E#GWRb9odymNYyxQ=S zT5(QCVZWvrGtkOz^+fO0Z3o|p+rAciF9cru8Dypim(^E58u~s_E~vlqasSJ@GrNCq z-{!jn>U~mqb=Csgl*$YgVEjd%X|pii3SWJI|KG?m3>nrLFdgmh*VLd5`itseAQspv z+Mrh&&neIA!97PJI`Ho5!=p{wm|q~9Rj2-AQP}9I-KanZCkl8oxBQK=AAvwNducaz zE`0~xHU!LCdmkpLNi4++M&w=~KY)_Jkd{{6a{3~(eo;U}^YlAquQz0hE!Kw@e?fM^ zyD)%kHZk4H|6)80Jxx0Mb?FhDj!~ zTg+#!hdpCg7BNfhAi9bh2pp1O4W_Nd&-ma~_yR(PLywY1^SrowV1Ad}E>?0vD zq>{YaedqnXW8^q#{tISB^Sz1s|bmTF8XXVH?w@;-)(5r4;Qw#%syRpN}bP9DqwN< zE8Sp~z{4!#B}CV9^)Q9k&E3?iw^$9P+SbNWgF#5rZ=kUOvr$mMPAz!!J)PC{0m|j) zutZef4GFgC*<0-ih*Pt!2Bn=3N3;NA#T#b{Z+j~ImHzJi#oMBxn2kPR5*}g#sf5ir zP*XH6l|)(`#A!3CyHA?y7M~ANC82O1)R^D+0SY8+?$^sr=Yj7?XcBI%|IpRw4gi9I zMWE>=^lvZZOMEdo4Q#e7?J#+)zm@W{+2S>cS`}<{YfDkiakyoc;We0Nphm}KT*mZm zc*fM}TJO_^;ZgV&6Agm~I^BVgM3S)*v-d3Xmi?VT@jey`%ZbU*F)~w)Cci>|dE2G& z@OWSP*=!`xhYCn`*4EVOS>s6Nx{tlg1ny=g@{Da!azs!k)^k7prv5;EsfUOl$c8un zEYHNtmZ1;)Xj=3ojmE-vJkBjA|9!X6tMMr1Ff}DuBjxpP`82gfL3!~dEl|4Qdh?Bx z@t2GRDb;VMry~C&UZ*w$4^R+1DF>e&fN9TuD8ai0$7%=DdbyKg^z8DSb1RyYuolqq2dLfBcSEOizrT zpA$M^?2ev9`2Rjrb`haAYK3qq=ej#l+(ruVIcm55xRc|<+R@`S`>o=|sfYoQojc%u zE<;$b4a4vL@Q6{4yjs5uoItVijb%&A#X&hdE>`NVcUbyb*NOAg%zDsPiQ`Sv@rw#K=A z_ltxtPKgiD5`-?q3&f|0HOBuH5jXO0OI_mMw@!(*&ud(+EOxLJ(g%8Y<(1RWQu zJ~%I`sz|^`6JVtKoY-zXN_&2LzrxbgGQAVnl#j`Ra{0c{=?JTtEVBBAxOsh*&%P8% z;8GHBa6TxZ!~ZxKLmY$Z`iJ1pj_Ozdj|O-)Zw9Pjo0Q?jSxzb8a;hlOnxw-T&=jkD zm~~VR|E4gNXTlWG?h9`Qw-tNce8Jh9q-LFf!}$Pm;$wvAyIj&ne&{vaGE(m|8z?#_ zMTfK_+61|;v17_qr{ty{S*7p2x61FQO+uOj-Zf3`V<=))44+>%7^J-8DiQ z1?#ySVtD1Ayt=Y^S0IzQ1~_C)N7m zcy6HWaT4q;X1*ScJW`4JfYkr~bfAs5lLZ+4xc*3tHgcsYcL_DQ_3>h`<3VKoTr8|SL!WSr$k zrUgWf@5Aq)ogWDX44RZ7_rXC79AK2zL2_r}_N(h-5?~?NiBGp%uDTtXII98mfeiMt z(Vp)GoDrGH5@G{nz(;AXrkHO1OUHfLhreNw&OGY8=Eg-Ac!>tT>!$o5PwA1Coa{D&Q_UJN zs*w@)9vmHX60Lhgi)plxZe!lz#`Ts+$S`WvE9Y(f(H9*^(h<{;<-JAyD>g?5t+*ODk@kv|wf zbFOne3jko+ zEGPx70UuAB3s}zd&ai>$&PDFQ7np6fpq`JWj3o|#(n?o@>XCQ(5nxQ>OnCA9zmSHe#Vs-} zUGHR^D2ONN;pnG6#4}sWe=(Dj_;FO$Dxz-A-*H(>qLqCo zg3`wmt9JBV$>IF)#n1!PT_<(-Q4EsF*UaLLr$n!$>Y|ZHeuk>-AlRVcW6j5SeGjT_ zd>e0)$frYhJzqpEbt)U9Qs0jTqGZxYGm~THt(eC6*I?n()0W1WEjx^Ep8=af6>mHb zC@VdG>vr@mSCik$f>BS6ZrbSn+G6hUY&cTldu+yiBAAtX`<}|-qF1&GhkJ%+{D$g= zp)?h*2lB^*35)>^y+&RB1ah-BHBu=2eusD1vOe)}*+S0|F@}GByk=*+*CHOoKseK7 z=zmc618_vz42-e8Wv2J9^b_md%VP)z8s=rVgoQ+mbV7k4DM-l|PL~oj-aV0Yr735{ zdj2fk^F5|PpQL>40+#;A^=7vjqpym)49ZA_gchRO<$X5kTf0-RF@}GwVH|`Q?_LCY zoh!eWY34=Bi9#CYk7?FjzEQUR>&=bYitgy$#I57D+O9}Ubvjcx#T)pj;ErShfB7Oo z^(W01{%=&^TPfJpw-s6q&R8pYb3UwI-f|S+J-z+a+U*hDAMT+IF_*mBltr!aRd^ap zl=J-XJbw*YKTU5cRNK!@)9IMq4%`8N>=nidbi*G@lnLENGc?vy&`GuZJ&u~wSI z%?qda4tP$Ah(uOSLF%@PAOa{GlpdaLMLX%0AyuyWkyjK4&4qJj*K7M|RCOj!_ij`5 zYUZmXR^nqhpjivaw1i@hypJH9muy;LC<9}tV2~q%5|Q5s{bLtzre>~- z3j%~B!UiIw^w$TG=(M}&U~Bp))@~%L9J}uTh$>1{(=qxtpqHRFmCT65EJ10|T+cuw z+S>_VUWsL$P4Bj!tWb#@rFpCE;vWzI5c0BJ%}s5X&-RyqfY(x2Lr%ICOBzmE9AyF}gD3Tf`Q zRj9fmfgcnfV(CQ|^E)*&P%Gi)wNeFQ_?>)Wo7nzC-?t?P{*way5QD{Jhswh z?voLUro7>iO5_JhbvgnZglQ!O->W51*MDg^eIXBg_;$#qSoSmSYCCA*J-Ye>aC9yC z?dvb?o9+6-j@77<=k;W!IqjL4`;GncjU)_fW;C8tOovv#v!$UD%0E5R!Bs5c;rMUd zTT5;!gE4xS@>@i`beGT?6j7q<6^CHDW5;m_k)eYv=8Cd#{3FR-@l76vyvy6gpk zbdE~)faV8*W2F-jH|mDtUE=loB|R(D-D%g4MMI5QOTmxjmcGQ)NQ(!9IFj;C827CO zSLht1%l6^V77j}lHJ3VLsm&Zh*cI|9e%e=08m~2NmU>Sw%?mGaCXxbhR<7BGh$Nw4 z$4$lm2_tt?!EIb7GHc^dS{ZA+ceTAttc1c6 zD_3coF0n;Z8P5sy*<25-tOGX?Re|_7tDL2_qW#-V-MW^~$wXqLj#MdDpo1ljhV|i0 zdEVyCk39P>>Bw3y@x)=<*dSgJ7UXUEXF(K__L{)bam;nZFAvs{HDUOH0-PK?AIr~I za)G;n=0V?C{!|mFS-(^>CPjofoV)&JvfxouYRb)WL1y)62Sen61dz>yU`netp2g6D z{jC;piIzJ4sIhtI!`~f7#BJPL6dX1B7O~IGM)TJxqj~la`9v*xVf2BAL-Z&> zxN>>4ZA83XtwHaWgc-lKp|?Lj7fJroXRJP_r}a7lsrwI+?i#hnRGhy=QVba6}@+wqFTp>A=|Z})Yi!oXNi zA3o5d7Brp{zAMQ06es3F+F=aFzT97MH4?)KT7wRv2WHushDEV04QkbIBwXMkZEOcl zR&7=Mx1l;SN94WVQtN0|hW7=;9ZwAgT$_*C(kbC{Z5#f_Ih!U@7B>dZj~lDM({Qjq zm}INt2j1VaxJquqOBKchH^FOP>lwjxZ`yb`7F_`bm>|pTm+`ztc}@Fhzr@d zX9y+)L~Zxr`mY^fIuK*&i2LsRiq(G?gvNb*C0{LR z#F`D3?tDSi@Shjvu5SoC{-T$&spG0nDI#qGCQ1R(TL&C0Hg1QlwrJ(S ze}zAtil&~SCBNl?Tm9_Y>P>{ls23ynX6zE~-TRv+!Vhdb4mL1QWU( z)rleQ)Kidalv#T3ts@B*g&M%=^rS2g{n4Bp8U99F;p8ITf$i2~9V!WT`D5hK5xQ&+ z*d}&|US8;Qc9gsu^rQ?~Qab7hGr$B<$Qk#HSh$~+A20ZcRjv4!dp)yDUU-$rj!k?& zMK2qTjQLOr3KzlFGx+jo2bWQO{~Mbl#=a9O_KwL?ey~VExfj4isgSd>7o=9Q-LmPg zt;7ROr>}2}mO5g+(A&Ynufl?u2SDuv$O|er*@F?*E`!R*G|2#9fKF}$zyDUj91Hm! zJS@M5=ssF==%d^R2#s>QWOAdT76sl6 z?YEJ0r4_N+_vij(u|Tth2gDT*G$b+#oA|3!)$D|nvg7(t&uh?BNr_^ifNhc`zcl?G|Kb8BJasmvjS^@}eO?W{kyhG*wb zcgKNCM2~u3=y!zX{ghz9fqXlpG~>vQ5sE0v4`mu#+W00r*FxltgwSJKv?XFHu3UY_WnONb&Gj-&|Gu`2BP@vK}M z2{g&xpsyBUS`W)8YCL&Yzg;PVmGE#*(fkH=5=0T>U9Hkq_t@7`mw9nRx8A4K73a8$ zI9+^f=?PHdWmmtJ*&o?M0(!Rv)$I)Nkm186qby$Iyzn{k^&{Iy?kB2Gzks*ST_T=& z%ml8xW944$oQ&&~DUbMkr(*@D>{0l$q3fuw>(jne=lt>;4$m8BDc)>Il>SbZU}r(N zL0WS~)fmtWdr8c5M&qO@q`U=g{cXVMm=k?Q(jN-@^hO$blo`{-|Hn$?ChrmvQ4tnz?o@}$$>DIy-Xns7AL zJEv&Z!ihxQ51Lzt^9X+$caye}{@)taZ0&EjjNdmtAorU9RkUVM@Zk>%sWddbH#Lz# z+|cKLbRoZVSSMOHp2)qg0ilHYzhwBDKJLIM?*R0o4WBD}xZX4EPxg1hMi8yJt*6Ov z)(0&NjdyLrYP&g^$ArvFFT&d#tL%pjB{pna1BwEViBFUL7f;*8Xz_Ya(2nM@hOrhN zz}^&Kpe>I-t9?Tq7?@dNNWyp`E1x8aL}EZ)hkz^omOB3EuB=FzXAmP}@>)dvz$Fmo zKn0ksRe%@c6DpEy`O=rdj_>whn$xih4WC0$pzR~f1T{;W*hBgjL$wc&orEXje2OYg ztQaxihD><~u-=85w)i^mG5F-M$sU?YVR-#_pYNeK%KAxU#&~~T468Am zW@0zIfOK8B39zbXdyJUue=PJEaYcZUEBB39kZ~Q@YQGsD!hwC?C5W(+d=;sw6N!m6rCWrAXXc96 zUAgCu-+p#s3lMa`(^Hsdd{~-=q@5q#mHco|@y$+V;F|{^krOC9!-(}1$rPHgkNj%51^XBNh{v1L+3T zfPE@>y@#0N%U)hGW+HwxYQgUi_zQy>gIbL2g?AJO)ZT6*OP^I4s=AGg``~Po z)#&s|Sj2z438?U7D6wWlG__#XA2I;cM}UPesD22f94m%T?-Tq|)57#Zub?R0n0ilD znkNK?SFl6NE8`wo6(awDM+|@#+d-Vk_R)C4SI_%SKmSUtzmil-1O9j|iTHxhf$Boo zBgGk)&3+GQ>w54}f}9-@T#cY1Lwg5hBz3X|<6j6z4V>qSUSv!6gE7~r0|!ugzbQt` zD41UK7SJp%Vfv5=v;UM76qYE$#MEJIp zK0V|@+hZpnY7G(ur-%*!6lcFxVmFf62e%}h4@F6%{w*hCVFvFvr0a*>K?6eyBbFuW z@e8W%w(c=YW%$JJ?j>ZubTT!0D6H8b16-*zc5c;OlND=|9TMIE7@I6f@p%r#Y>%Mq z&+bcv$d>MeQa+a0@qrt!ge*``$v|lPB9?N4125X~Yru_46%da9@S|sn^rryL1fBW`| zs7B3_E}$9rUKl2<9Ev+qj2K5MZLTi@Nwhb$EdBbu{iAMMBxkgrW3rVcm|%vrBv@@Z zA)f@vK#~<56Z8Dq`N%PErbd#R2+g(W8N0}PkU-7`dw|cY(h76f49-9|n>MYq3c(Nc z43y$hv}M#uw3GR^gN}xE{_Dm1G>)YzFc2UGJ9`ixVk+~*c7QToQ&;sJGJp4kY-M1H zWY5l-W2yL*X1+zA80^?hNIyYsbCUNS8d{uPLMXnEr^+42PG5U^nuKN`2oT&lOg}q} z>kgbRe6UUBCjp+rN4ORLqF^lBnhdh|)pRf?`aa+I;G(IYCN-~(l0B=2Fs-uD5lewY z0c)MdE}mo??Nz9tO^DIhxX>P`H!;|99J-oz5T8HUCxn#$9v9#r04m&H_=D)%ZTLQ3 ze|NySHnAt%AG7B%&CSS9(D*pfm63cNvd?ME`FWZ82|>(vk2PcvAYNekdNae&#W#fNFyW0pa#)a*dlqYm|MgA$aeqRFV?igtM zyzEpI9Ao1bu0hqacK1zw#!r2Q?CDS7Fs~{-N+_EgIooQbqy(??( z60y>pk%4QED7O!IqG@J$aaW?CD6!0x`|GJdC%&GXHEqVTINTQz0GEg!Zp?;vC;b^Vpz>Y29G+kOlnEGEcv%fp&3B7EKpgGPFsr=&D1! zZ<~?k?v zZeyeQE8jZO#F(nb|{LTdWp+ zI$(%*0#djm=crxyG-!SJdKt^SuqbrtR(j$?2?skdKs1Q*%~VFF5f|&V9#fC{Mn*I! zaB!3PSju@bSv3G7tk^@*Yp65Dc;Jo#gPNi@g2A zv!Ca;kjV5_dm_6AD7&?wt@9srGm1r5_4(sHrn-@q02Sdtb3u|*A*L;crP=^-06a*! zgAG`)t%aUgU0HW*ovj;-@~kpvCApa=CehMBb;?*=vE{5={VJS% zFJt!SPZ2ltS#VebRf5@|h+G1# zx5+QnGPVY6B7l_b%^E$(3I$3mn`brtjb5UzcQ%aOGf_Vdu`gN*!VewVedMRs|F+J*ihiYQG@CmU$=e%02mC_b=jPUp z+ZhxlefKJE#a<+-S>TR8q!58p^>+jJe*Q`O_$u?U4OU-NDWE;1AB)9;uez`r54y^7 zDL(f)qo}_J`3R$$I`Q8TQkgnoo@>V_zIXGtB}pE|085<;SVT0p^!pDVS{_Vv;PO1^ z$Ue}fq<%OjL#EI*m;Z%K{v&nRa*446U)?=(M=iLc)48P*}4 zHYBAbvtCFlPG)H=%(E{NcgR9^3%bn2 zU>jaPz6tBL(oYrz#AmoSQ`M$%BU6WJP$fv*LI5cz;}H_`D1GGDxj>)?B9XPMUoYaN@~dv`O?`K8o0;hLojD)2mf-*W$Tf>S2ovsB$VcwU9B=i=}GK zQgwZJaZiGY!DM38XEX5`+UUjysn$ofCyvP%H^xn7VqPvdJs)7MhwkOBFMT4gIkSAI}XY4wJ*Vs5j0tTn?bNh8u zTo{`45XjB1MszwVui<~ibWBdd2Dp^92DtC^fRt4r$MH}Kw0?a{*bE7Fc1OEq`YLl) z@5-@ck)zO1-y_8OcsMRMd$z$jR=WrNer&X2;RGt2V3)|W69Z&*{9ZrO3RXkJ3_(d4 znp!am#x$h+;u*i@yp|1UbgxhSVg3@iHo#O?j*1+fnJT@=3rV=*DqG|L^R&IrdhXl2 zB=c+=#r)GqP#<*tuOEn8lA{87H0Zb-bo%HMnDX;{{ygE-c^qb9;@e0;5|jfIiRzq^ zkh`ml#1|kSWn3+@ofl;|&W0v~Sc#&PrS9Gwf*REu&GC+^&o6`ISBu(&8V{P*Y%&^A zRimN{w%@ZE{yW5cvc-I%LP0tRyFNe0uT>{^%#>^yYX_z|7M{Owr$xF93GC!aN4jSX zf6XfFe`@zx=SvC$Xe#vxM~xdIeT>_Noi-h*Z9rzWG??b_Q(-xmS>XEv6oe^?ozQlb zZx$B*UX#$o==m_D_sNbq#1H1kRll<<{}RX|H$p?!&d% z^MU6qI1}=avzTyj4YN%BtQw;=A{B}(1IJ_;#p+aus|F4OwT|jLjrL*gzUSj-kyt)R z8>IFMC06iJUE^L%=r4_Ln^se84!0sS~H#}@boTO1UhRZB2J-k>l7qxRr7<0^%vb)^+e zS-7n20Dskh2$}ut&-fYA<(REYGnfxJpNj*c;DjiTJD@8A~`}MX4ODJ!#~|;H_mIdON8wGL4DV6o(Gm$3Mf9~ zIv$}c)&<$ne|J@uqT17&C!X)&*=I&i>G(Ch5a39PgpRu|aM#EQVC#&$D@Fnc-a=T% zI!SBL28g9TJZ-(JVp^d2-*Mz>fYhP(W9+vY<%k^>>@CFC=0yV9nl;koN%p$outYOU zJCgn~nA`p)TOI#NpW#lp8{*aO(ttcXi8*A;|z2e097Ao_ee zDiUu zZQ$;f#?lru^2Fv+YoJP<)SsIS8pn9|a=^gTu}==59J@?jf2gMD0Ua@=0^$5K7z z2r=^s@xedJ|AD)Sw7luwD6zQv-LVS?XgI+P-Xn^>Kr#F&-Yc_<9jHbZq5c@J3k?dR{K+6B8*LULnbv!C+I__ zSPGQf*zeI_m;(7QMA766itRa%of+~pPwtl@=M62WrX}k73A|%|{7-=!nuaW<`Cu3v zQ0o~ecvbEKJc+U<$IC#&5joe0y-3;`6u`g$UX^A`H)65d6s{Q_XTdV-2w2 zV_@(q4Xl!;=Hjsb(E?VJQSfqp@N-(GUEApJpMV3T`l{u@C@U)}f$|Ch3P(xTIvMBE z;OsF)86}6>rcz;mk`ia!l z2DgFFpx)MWgjEcAx1;nf5EfEZ!X-gz5)l=i++}64G*;N@BKK>)KN6w`ZfAlhpdLaX z>#c@DIq%1JfHXwv84Nm0GukY+j1SWB(Sjx%%6ZmUVV(4B=`Z2wjTBRpHFN#OrS~$P zzt^K6RC7bvgg&17@zwb-sbJhx)n2LWCxd{wxP@55qt%fu4QFWxuQiZ6IwXT4deHEV zkE3EMhMWq`LJP^I-R*+Bw5Kfc*jFZrCpU%0?{05)rHwk>&yP&;#~fBAygB5H2xE@r zd-?sjxXYps64WD|^DB-SqjI8ux<+hP@h%wmBdIK z`V4v`Tf=If`a0-Km9anIIWsrAgWN(S>i?|LaDtRV3rZ%ttd`oV-jC_%9-*=fD?OU8 zl5vokK14J`M>iI5az{;bh0Y6IudnjR^0^3PronQ@XOZF=%|G^^LL15b?t9|ZiS#31MH6BU2QHZ?jDw%ER~sQqc4v)?{D9KkTJNDBCbpmy*$ z)BYY=YY-@ij`}$#1k!|>uVcSZDw`g&JX<5?4SvrxIO)Dip2s6{!H>;gpeQ*>GYw0S z=k?gjIyHZs!wGhsqq8Nek2Ic>zPPz+aOg41Q(lX2Zfwr+>A8hBa#CC(urda%Fbw%V z_IX(7U}3-hJ8^utvMjuyZqzuBU12l!U=~A!8l<(`sqPWLUnH6Q>8Jca>+O6Pdf!89 zZ-!>;mIugs2D%2$_`xP&RyO!Q-aH$uSIeevtY{n(1H!et9FPjilnM zn06TIT(H93PShb|nPcvHgUd{SbIY;E`DV011-`dfDqOA@kLTY#5=gA}dl*O&vU$$9 zin5HR;M4s}q|zoe;_{8wQCYwh)wCNR_M1<}j@sYjEM1B7eh!8HZ2F$mNO8x}(ogQF zvf90ylL%!MHZVep9=5-Pk{R8fSMnKDxsVk5JoS&}V*(2ff>_FZ4mluK4kwy+?Kn}+u%k;30wj4F0N-WmE3fI6L)2O|pF8*toVcH>uqWCjU6((Ssr zy*DUH!L|27DX+hk{6$qx@yG03pJ0iV3)!PhW(>c?sSQmLyC&NJ&)3Ku7=}_m7a9vd2L;Wo_l0_$O@S5wTS_9@(ajsS>8Z z{~WD~nOMr9kYczmp9MEf6vr|u+~FfCGT2mqpoK$k16Kn%>9}TRVaHhk zN_&F%+rW$AsK1yXh>oC4YfO1Z9{a(ETe}S%?T=_|!*TvR$K7k;=bgdi+B-v#9Y zT5GJ`(5-uPb4d&l>a=9^S}L;Ds6+)1fI!xV0V_z{VwkJ?Dn94gF^n)szM~iTD{MF; zU7_6lXynV8Z#Q7ignGolkCq?+SPw85G@7Aehm^r6m?e3Cs{6+?A{XSXL}tVI9DYj# zsN7eb@5gVx*UKQpx(!6Gi%m&eO8G*XVpxYYBQ2SX zk930UVH`Op#rx>C$hJLC6hpB^A7(DFN)C|ZRSM`NjR7hmhK?9bth0((Bu{^*y%6xE z5-ZykP6p=#Ci$P$kO+9XtLO~akZ7g4C8Fp5oRHVw33z3yAqtjVoa1T1Tgv`<#e1Ik13(5TT-Xfjv;P#XmZ zq7&uBIlYtbG<2lo<`w-%bP9o#?aSqKe$mDU(Nre}dd_{WFrm@|#s+eQ#gneB#|_mj z)!ycaaa`8Oe=zb+(tYQK8tcT?b#~I>6;&znhrn3 z_9^04o~tH`9YI+;KgI(I_{-@Mk^8t$8$_Q4=|y+CWNA3x^p0f$tQ=-R9|$0nVoq7g z`kFr(pE;?uXP+cWaoj zD2oD8qe)~F7V+PKCxibD^wQ-|s#{j8H|EORUwPkP;83ak!k4-506EkRmC;92WJ=nh z-druS(J$|<*nGRNpVP}-4;NA5-PIOH^6nVSxSdUw1a2mX!^Xwg&KF{jSZBD`X$D$L z_P|z1d{i-nBsUAb4O4QFJq(or_*l^6GxB3VNw9~BTpbV;eUFv~o8t~P5ioZa&M9Ca ziIms=A)s==n$+#s@lhWX#f@*fQ&SI&QS_%9Al&rzI=y3tW8*Lqn@qXV9`=?QQ-*BW z*w{F=W}m#qg$^eIWvv>l`4z&He2> zIpkU@Eau*J z_6@mfM&*Fm%z-3VRnX|CA;Dkc5#h=X`~wexHT;F<{1A}9w0aS-0m18jL^097X8dB* z)UM6@!v??;3Mn76Kj*tw^(`CN6o`GR!Vqk*k5Z$6Rh<_6_XKTu{*n5xKD8|Kw-fW; zp54fC?ZhQsSotCXQj2n)6Xj~~RV3dE?c#M1rGzTJpB(cY(n{pp zH~#Ls0lhmC06$zkR+c%d#3QQv&{k@zz=czqD5swK1Lxh!;-OCaMHO$1-NR)jReqe> zbR?pbx)!8x#63bDieJ`RlJCwz4J+EzrH*RR-USTAM&| z(p?zH83|?y<~poVnG`sjLA z^%Uhfw6*7muv3fPlUP;Bxt7)z04+HOs z+j4Co$mMPFT^2IR!0r8W0HEr@Q-N}yOc7N)Dw6g=VgX0MNUba+MnmQ-&rkPTI=UTS zVG0*u19kxlylOP=K#!%dw0x-8nlcK?aRuk^A{YD}H6{=;_QZ63KP5Z*HDa|gxV)4Q z<9fJs_&wjz&V#JaoRw-trw(^&YM&LyP3hD5aC%thd}&k)g$|fTvGldD@M5<{>$}Qx zs{>5{la&3gV7{9b{^}nzMC%D02J>;M+`tOkx_{LxL(k9Ur`(FG(~nUWd^}y%M4(j# za4!>E2t|@!H0m`>2%&#zS$>f818J+3-npy~ybrT1RVi@&kyz|`-7>Gc;Iv&;4azEX zR7#gsn^>=xOEPpPCYm^BOjaLJ~PV zaE=WqA7oX6pOVI+OiA zTxiNY1n=#(11B(YeZVilbC}RZ4NZi^MTf<}BC-mck)h+mI$z2oz8hk~{YKmvDd@v2 zAF7HBG&!`7DlGe#IA`=gmGq?s$!c7Y1jfj$P@XKYE*`o&IKR2aiEw2pdxI96`w^0_ zH68>?!R`TA4O7Xeba5xnzjy!${FK&jAa;LgubhB`zXv#QJRfn8wfl6oBvu}AW0LF3 zetSh_Ed`-qn%wNC@QVdWkavCl@M&?aLG5H$%p<(t46UD%I}5}UD54_HXOZzAIe*`K zJ?ywGdbM9@Ub6>e@#8}Y`Or0tzNgfFP{-#oP5{3}3TdQ~>+H2n*Va2THW#R&78=+c zVevPSHN{YEvf!L!-N~6cQpCYhk;=DK$Bs>d_Dte~AlneGzpUOpO(nO>_NIou#hdD! zdv}e@@1;Vyh0+r!45F^N^D!16J4C(2zp{}$5*akLqacTMQ`QtU*hH7pCiHFoazQND zD14R4Neum*9)OM=QJ+b$NcQwGUP&2!3Ssp4bMm}Bp^hbOf9WY@Qiipuc{%Qk*6j?j9ULl|k)u%+TApZr|y$%Ba+X5u$sl9Q!CN`N@E2 zH6Gh0m#VWL4jtoj4dkP-m>_Q)#`OT8Hly5u)TA>cc@AqMq@P(Di}ud9L`XQ~$YCN| z!?TasMmjdUQ8TSd#hPpX6w#pJfmxw)gMm;oDJ-2S*)Iq-Hxc|%J`?-M7cW6eEZ-sx z@OmQUPT0@LazFhkd?&MbO3as?v@fVB0=AQ>=`wF;?HCgrH2 z1BoCIF4HSNtMO@bF3CO7Jwlf&`jaRo1y0k6#Kc>B!V4`4D< z?R)5e=?nlQ!XB}sNu{VGpT=LNlQILrC*a51#tH{G2O9}T>$!D66m5T z2}S061j9NZ{fg2sdxpu@!P&{eK<?m?wD5dY1Z2Wtnbrei#d`Lg*)ZzPggFK9-B&}I(BHZ zFK`QVTLq3VO5^KHj@O5U`&2SMCRSs7>`{|-H>-)zj4TgULVawU&IW1`FCwqmyEVV> zqYTGDUb8X-Ne-aVRP-fyIrC}5O4652FVp{!L!bgKhm`ej$NE`({eq2U=dly##jf0B zH=S%?QDN9Dz*YiV+IQ$AkItP&GQVjB$G@2C^?Y(J=0gcZTeH*7vH=5yw1+iMGOxQk zMiQ(&;USq{jDD4n3cb8`1^e@r_m5CJRP=H{6qg8I4Ij!k|FVcZOndItFGAP{YF;iP zBV!BFNnSLnAuG`F5(i?9?`*vMqYXeoG`UxLOZq0hzFmq#7x29tC*nfx`-!2}N+3w)k57cpl;=&HCJMULsFyBW9R zqm(ZDE}X^HSWCz~L3S7jqbkjrkJlWmD8E-@GfTT z*Q`NXhtbBBLT?HVCV4nT*Ctg)WP9OIh|Mzh^g#Ba^SuYQt?8w)pZ_K!`s-34k$JWL z0w*xC2|padm}vite6K~(1{QoN0sL|>SvjkDXt7oIJIN|e%k4`^_WmB&3y1>j3J%L3 zTQvsT8cX5kCMmhRPk<1jjdu-QNr_le4=l+yZaYO0e)W>LCg+?PuHn3I z-uQlyg{X`j$#W9gI7B7wEb~=L7%xBl5zRgxc2_KrlN_>qyJaORH|=(N66xRE+v{}{@L&&h^co>S?;1W z*UW1}U_6LaddKP)xG)}G1SAEdaQc~4zMcTfHxmQb(t^JJ@5pj zi12lO1j(z{a;=iZp^0=@q>%45NLrV-IR4-YMF3lnM<<~bq0qZWmlFaqH=(7hd0@k^ z5ggk4mNF6+BBV&X=TUj|dY7CSD*WFDe2o0Q016THJ|cofB`e=;XAgDWe&cc(BHM(> zk?LfXC9qnL&Y0uvwl)nk25&hpVgu4d#(EM|c95+P<3dng0fb1WQLP$D$rTCjmIN3d zbfrzA4JUg5RR|~%r@XY+Wx>1XLw=cW6`DP_2@dP^`7P}$@X_3hUoyx^|HlVBew}chQJX80D_8r*P_(3!=~Bq<0mKxV_C@j*nFQA4DVz1J+M~G0E9zEz^@$3cs); zoeFf1WZnfBjO{UeZxEKfynPeM+%ev<`hpTjNlzG!30juzzo$^Zqu2p@=C)_o_jw2k z%AM<@CddH+a7RrbC*jGOpG^c;Y?*hpD^)`Wa;#;LJ6_YJ$k!z*xd!i9c}c)HM%9^C z=CYREKC6Aq&;D#30Po)Ps_xCSVK_Z^ky?$KpZ2?Rt9D6Ls+SuW+38kg6ZkXe_yBYVVNa)u*& z^x>h_udYpn_#STUo|Luj1km7!IR^0o`Tb^ko0jMsEYI7K-FG*F^NB9;jzah5=Fb77 zNi&>`9hAW_jSa^lDUFc0KWob*ppK&_X+dSXT8G5OlldHAPLD5;Vc?_lQ?}hqhmYR) z^4P*)v{fAIr7@nGDXo;y&z|3^<>z$B-$n!v+S4k1s?X$i9$GSJA~MQgfi(2^@u7j{ z8wz|%>GFQ^V3f}raVX)%ud=X-3SpS);o$}PzJ>00G^?qtcKRvqIdAFVmA1r(h#4>{ z?FsyVJm67~yPa;r9r?JrtJH2jhQPIEh*Bj9 z|3Qxb_J+ag*Jp6$nK3&17mEVc`4PK(-3>8yUVWa0*+FLInri&>Z+r3gruOxQAHRP3 z=B=})&?`BZK=GDZ=8=fL2Yx6I zPlb0MZbr~`Lt1SbQ0A!%FghBY52QUZIJ8FCW&S$jh}L{?fPI@ z;h+VeR8Ny3pv|SQh&-}1gsYHCe4c`+lwE1-7 zldVLA<{7-qfqib;SO_&1CV7_r4`~1pf-a-w?@f14-otEsK+hM-xD0|>xnIR=P@1~b z(KVTCj^;+atyIN`qN$~XYrIh8iJa_dcT4HoFSCHMAIiUOY5ZXFk**{R>;@DKlT)AB zw50FF*JpMHKfi5_+*t>o)O{&QDQ%7>a3-@S=B(d=ZoUeUtG`y8?CpQTMz8A_9EY;l zNdqpAV69|T#;MCtX7_(L6gA2tI$3VC%MAKaURf<%y(cR*onMf#rqb@|y~h}pf@{aKkVFRDiS&kG<5Ak-iZWHwwDkMv>5BC!C0 zr_&_D#GoZq0*i3C-Rdq0_<)T;ZYCq6bqwz#BH?JHz z_w9PFp7HGk?P(8H1ClQGr!`vxuG-?#TcbRzNKGroZ{fIweY!gnPY#;LLsWFa4rn9s zL{yoq($HRVAM?2>GG#s&K!Ys(s$xnk^Q-^@B1Rg(*d#TRTKS_Vf;n{!I@)A<%pq%h z|LY;3)Fp&4;fO7zbL%p#$oxiE8_Is!Q6K%ZSFpgA@&sW6-Y zl6)+|FGy&|&KzD*ex>6=M0Zx_WVGH9q1o-QPN_L$h%zIT-}-@9tcar8euKda_I}Ml z32Bz57RgnlngLyds|LL&(b7u!%uQ)(EP6riKDSVTT7;BMPTHPKzqeRC3zo?yOXt4n zG>{>J)ylGSr2`W^xT>!=w7`ACcS4&>HcN-k5-BTL+=wt4?I^(#6-Mttqx+?Yjhvl0 z%gPpXcYIK7_4%<|C<(Wyd3qwIht6-ak-x!|{{nz$Tb{v58Lyx)%hJO{dF$0=HqJv{ zb-AO6NdPLxMA-+s8W0Cu*&sz6Uxv zGTLwwn58-fMfp(Jvhdf(*|H|PWChqvA0nY!T>a|w)LY*K4u4)0b#$2d5kgr}mad1z5@>UG}pz!O}xCS~2^Jyfy-G9*^T@H98z(GfH zLP6^j9j%Kx=^pIh9Iw76;5n6~Z8Ri6XRPM$D9i&EM7T*EHyYk?!u-*fnD^NwKImtb zD29$xr8BwUqSllq8Dt4BsWXT3t20Sn?=5S4L$zk7 zk6GmPRxd%_Y7m9F%{Ol?g?3d)pJS~)4ci1&Ruo3%wQuK8kRS$3#KY7?em%q1rkk|2 zGeclaVE25R(7b?gRLPxW!gCL4D8eOOKsNa$TTh+xO&a@ERO%KR>}+&;H>t2_Zu^V7W_Z&HfBw= z%hOSla#dB0i47sJ%o&$Y=89X94v{wK)Ncr!Z8!0+6*u@cU46{mHulj?^=gel?PZce zu3<{UWV%7HM}so=5xV2kJS&}sqdn8w?Fk)Bok^hrMP=gV@QW;`L$6vpt~13d&DamK z%$1(8)+^ZP-#_txw|mkMVg>VYZP}~&Ihn4w0ndSEA zYO*?o@M_E>O-gPa5~xZu*Lx_|N%uTtKi$Pb6iSO-AN8o6u-0GP<<4P0AbvBH`~=Sb zQf`0zBMCfFfxD5H-U*{3n~L5({5b%Nq_U^>$EO}l=}+A*C?GY6$3CbeJ)3TA!Qoiy zdx*Wdaq{(20G+%2FZ=`dQ*(iz!oUyC=QlEu-qpAQbMSH?*L7eMmqW+@YmNqPNo+~r zX+Su;8Xa?gFd}Q?nLa4jCSuS<2&@V8a+8A|TL$H12p@vq9+l}lH4B;QyFC`&cowdo z<891$j2T2HArO$RhAgbY)YfAt4f0BDfDrrS>bNuAI^L^mM1B@%0;9UXZp?qfsuNV*t|%B{i1TQWS`)*A#2% zc0tKzq^AD=Re`5ua*E2{z)c4>VkE4}^?Apl;AG2*5bYW0dHF(q1O6Xypw-&B&B);o zafu%G8n@|5m+b=z-vhSmEnvG8QL-OdWk*?nkn?0$QHqdy3iH2xyS1`986)(z)2^HS zq(tLEE3|wqR$-zdS`Z_qpO7+x1;V68=%7;r6efB7OQ*$Nsy=G~b z`lo1kq(lGL-nUxP^flAP!(`CtP6u4!Ug1eZ;OTsP0b_rLynxm_XkhGdhDJN2K~5T8 z_#78>EhwSY3D*gWt3A2YL;5a7+qRb`AGaEAY5-jN(kA~a4;Asgq|emsrt5dF_Y?P$ zl$L4@!2n&4=VNhzEeITy5z6hAhqtfRHp>I82nIeyei--f3C#Asgo1ufhz#$#v48k+>FKjRUoYjLTL54BQCt@mJy4mj z?gK&V_5Rb?Sgh6iL7l)_yd_bedbrq#htrj}GX=8uFhFh_JgB#S(JhWV1M?E`R4UEA)Ju1jwn zdV#*4z@%|xYU8MKr@5iwBh!c?rH;RJfxlgnF1vf)Os@pCPF?WHQF1R3C8P;@@;` zxTnmu{A-7bCV+JQeiLCeSjP-RoEZ3`dBY*;@3tJo%?{JsOw89-{34~Yv zQPzvLvJ({n5)#zGDC6Bbu=1ftu86yXWBCQm?_&+xlgb@-TxZObJdl^N*4d$2T$EbK z7KSO5ao$ZM^gwU}uSmSY$%r7lt6h+Tp%WhBJ?qk^?5(9#fuXB;Y?${KdIY$&H{?iY z3ycR>YB+?}$h61#-z;tk+B5Y8W9j-FhjYl-${9&Z<80Jz;G66x$d0=k-BLB0wZ2a< z=YztJjQC;tctqp!T;t2VyyxCOs>k&#=6~f+XS-y%k1$YP(FC6`Vq!w3o5uy%FWx+f zW@uwdUNvwX$q|1*CpkahX~vdss@+~Ggf;Pl`kmZI!TCnEo$>-J2~kHp4N;1W&XOnD zlD>a>NdBgqgh2fS<%LEGT-Y_V8;~_F?)_raPdiUIJTg9oCVq^9hUBh&Nh@-RIm{E> zIn|H?5|Ut)HGT`paZJ$`?R^RX2;j7W261sfZU5e%u0;#<-8&*mymCcO!%@(aa3nJ8 zR7^Az(he=?%;>dvr|kbJKt(ngo8P8?RXTz$CU0I)Zw9px%x|k z<#X$bi29H~-QrC@KEDb*_nK1sQc)Rb?a`tZnJDp^*sbvFY>A<^fb9{&kfe=Y!T#7C-i zHHVqZ0Dj@_Cx&XB2edlJUf}e>v=r8X!#fx%KERZ@#M2a?qY> zWP<{ko{3U-Y=KX9!~G1MNIeHPXB4VQ< zE`2rM$i3;2$A`nDlM0wUe$=OfiFcqD#9X=+{)I0P-~oIG^okCd?Gs59{{Q!E{{>y# z>lIW6UPc{tYkbxIDl}-J(?iVGdbTb8r_5o6>qDY;1+zZx$A%ju$?4c=_}=Z!zD;4V zO%eX$Sh>OXBRh!OvWhC9!KfjacM74ZmFrvj-3^=Sh_7_D%FSnI7+j3Hrz4`SN`S)Ek?{l(n0PYc85- zV1RQ!-+M`k?9+b#aWOwhp5r4oNJcBLU|rrEyPzyB=k-Ge$!)JvFly|u0pIO#U2S^W zA$3Btg^>y*fi9kVKDP^qWyJs#?T*3Yq(7fXWYBDt`L_>`2v2sUdDEBIiQ#G z+V`>HpyW+XwH`Fei3)TY!snNc<3J(9B14#6Gl{D{0 zoEoU8nr`YXjc?Pl#KVHI841h%O&iZ+!2~H-QlIt3bcwG)&^{AnW!I>v@`896qe`-3 zzCu%{JL)oj?C*b1_G|y#-ht+};bSws8(_K3BXH2V!{n5AwZV&u=6N*(iwo@9DPKbD z`gnvJ3Qb+}oj~cC&W}cg!WJk|jM!|xtgQ-)X3S5Y8TlMne$Ya8-olWI1T*3KGwUk) zcu3_~BVy$JR2exBRaDgKT#rcD^M}x2*tl0b!L`=4yPszs2l)nzwi|Jh7*BObqv;on=j&ZR2+bGZhAoYPUn$+ZTdfJm({_h%pb`r=i&dB^r1y6+wv0UknmdTJ)IJC-*6szJa?FnuM6cpl}*%~wBSSAChcSXwg40Gw8 zbHsdi>s*JPNzBi#cFU|cjb85dM$Fg9vtT_h7!Bt=2^AL!{a#5gGx*ZU&@?C@b-8L` z@vs?cYv<$Qry26$M?(~+FY$a zy8N7|WWqN-3O=I;TUjPOS3E3~v4?fc_2>17+!Kem(!XOgz?g!|jP~w^!+~ltw6nfe zXV=<^eAQl<>{EJDRJ0`*8+J%f65alRSkM!%IJF;|fXC1#ctGHMuQBI24hKmm4>3qU zgHJ+Y-W$=lFpsS8l}R{;TAwagz};i+%loLkk`&Tk!+2*cD1rx(TgKXrE6@rNa@|hi?ax<{gilz8kMu&g$EW$!%*GyT(mAz5rls)ZQ&r`93y_X(W#x$T<&)Z zRd3OJ*ve*fxzwA+y1~-c9W}~u`H2(K{LrcloAX36iJ91-*T3K6!o^aB3`y~0mkX7K zGAR?&m`j4e-H~1s`xwb$#pkBu^LcWYYm@1n%@#M~zG$*i*b!c{XeyxAX@{7G613!Y zyAb(6!e^^pSSZhPv1}E^X{Y&PkmsT^-4trTsx9e@INFGKnvPe^0MCW$dNdzcs zQY#HkpLV4o+g8ARu(GF{JC!mGCLgR6*5}?;_nB3#sEiNY%8m$y-JL3$>68<$Bsp~D zube8uv`bH=iU{5}5}qlS;9n;vQPl5rk!R>oTHWz^DtMZXL4!+bx1?Zu@Q{YAltOZM zBaX^+YPl(?dLghuY|wW@DfA_}qRS?+J>w3={ViU*zTT8!0M`NtFfvUgm%GnFXvykmaf6Krjf zoY%}?GTD;u#VZ->^cIutonTnu<=w?mNcbBnF}Ktoc#u((&m^uZbb8X_*6|=*Q2dBk zMZRrt?<%nQ_0)d1MM;aX)@B_n_&Z|badrs01R+;e=<@>}P4bZkv0}%4kMMIp!?S~t zbSx36%ad^uM<{yY$k^n3V+Fd|B<74C(#JDH3_9!Zh%k-bJakI30_&tCn87?y(5`c@b@GVU%OL@%&m*C{5&DKIy2>Qxr=y z*e?I~19i)o=Ii_iJfFRIuMG2fT{~UU)fu)?(6E-4T{OaQaX6V3W%2FzlZm`;<&Q{1 z?YOlXv1@!k?kXxaInLJLqHbr2e0FZik3x$f$5<4jwK^QR5@v|>w6D$CyQ$p5qxZ*r zK_suvoTVVcoVE9U&MP8OzZg5w4-5+)uPRukzf}BLl9U;doUc-1L!_}`>xEWMmTH5GQ^6>EnfW5+b+AeR`?Pjn z?ANs}aX7XfX_+Bdv$TebNl8mKW@0D%?w&>zwqq(Drc6|U0)mK`M3s9D+&NE=5e%AQ zmuS>N#*r+@5mVFG}gr;*(O=+KLdn;xUyQnE{#)u%}%}$`RslN_lI! zDFQh*2HAT{7UKu+G1#ET{07|)-w#F-WsX&3AG&vOy-T5!z<}U$X3V2>wv>ipd)J}$ zPT&r)$fTgOo>-`?gvl;f36pNXtkpD5dP0@?kWd3#?X#dkjm7m?RpaW8WE*kE5 z&%)})OeJt00b+Nw>oLVizI>yStX|unlvNIZxDR##@<=jj58bv4)eYgzbh5gWksU`+Q^BY~`{JTBX8NFTMM< z5XXl7S}BWbqG?q{A7dr!>%%q@A&g}DAz?CX-YZh62{9CziPnRMRt1$oD^X8qA7$w(_0;=WFPDraw5SVH{XeH);Jf7RyI)VGB=}jWKH^(B8pw}g^u~Q_N zW1*3aUDG>J7$@&|5Q@yU_BIUvsM>r+7tIL{Nhw3UC0}J+kduKLh1o!)exfY>;Mi8{ zbJhD0ty+t!AXf;TBJu<^d$R_18i|cw56B5QLI*V?Zw#VGcn9NS z(W8zxUf9mQ-!Ygll}?q_rPba`&gpMCZ@K8i7Y|zS*m226L66|w;o2OJrBcS>(_WCN zigTmmyOShrerF}leH^1Y9ucd(qJB(7TN=j8OiWwa!Y&!Ji*EP@3)|`cW$J|W(8CX5 zZ1pd06=c_ommwBY=lS@_Bbk4HLe0Go$PQ6y}D z`JitQ5PBe6yao16S;|P*>VkymA*jO@X>mP z$UDvY{6<32h`Acyh#NOeXWn^F!i-7Nz(O{~;eBk4$_`usGO3ibe$BU%eF=y8WF*J^ zQt{@73ori7k$Rl72BaCcb;^Or{Dc`${->|#35MOJm8~?WZ^HLu8x3%O3?8Hs?k zw&Zi-*{pBs_Psf`Eo+*QmGx_4aQuAo%W?nB!@g(^la(U%nb2;RZ1~i;1*IxppM#&KL3sYClg)`Par$w z!n69{bTx1cy^&yZ-skl7cN@IRD}0b1m)7ru@$`WOj*iInjVH*Q*7^~r<_;L*LD5eb z*4$K;=^Z9Q%Rh6ijx|=8b9x8~9c;mRAmSyk+**;i-C&A)o)O~@{d?l6ZQx5*&e zRKVt&#DTg~vq&M52a_;b=B+Hn7gVTqYpQtwD7SX&vxW!X0gA#8LBfozg3f|CW-SL7fBs`1Y zORm9%$K%V1V`Qp|4)^id8RPAT= zu$T}~?r+;G^(%ZQ^67{ib}&p{Q(vv5hDIVRz4D(ZI202}RIj5MbGy+ukS9rx{pNSl z?a2Q29p5XO3IeIq9>x%M@*?G3LehurPr>K@_w#e!5JZ(`D!$qT`a6n6x2FoVq-0vn ze8HDKFw8ZOlPKXaMM`!L#9oKmO})5iJ8K>{3lYzb6jeHG1TA{j)GubQB6ISZ%w1bD z;p;Z*@(W59=z7CvK{j#d^`HnTild#V82CMKzM3=riLKKJ!iBJKL&SdP$;>$)1e@vF zUM`dRN`u~9}P{FDh2IFaCtu{_qX1(x9wT8q&LB!`@ zIKe+@&x0Cky_ND3e+81EpytgEf!^HQ_mv+=NKSoy*|o;~BtMK}g3w4fhoLcHlU{FQJ4`)IVFp~jJffb>es}bx3ItEJp^)NYY7`1aqqvy!7f9`1lmB8fEL24M zigwpocX!k{jNw$U)w=&d*KO`eXyQ?dsBi{AO_CuU_i4WMm+>(qoosIDAtzVt zFbz>|=Ca!s=vS}flC6`n;Cc_>#sDWTktn4FaTZ)^8QhQ2h~KM1e^C#m+eU-sOOE z6b8S5v_}w0&2Z$^wAF|CnxXx9i?IrWVT5bMmkVwAUMEAe4L1jJbP&)y9MnZMy;M@&FahFcZ0IW?BBbcR+x>4E`0tWalh9i24$;|f4zzg|46;uiCOyeF z*%TC6>25t&*8IhyOLrND-_nStx?s+D<3DeC2^UGMy)9OMA5*GzqTH;^&@kB-R9}C> z&^{@7;&~@~yo5fD@){$bM>+!m|%b60LT%K^)x$}kA1sqb|__5aHv!(SWR`UMkzTy7Ofdc$eVbMc@AxfMh~>&g=e z(x$w*hY1BtwTjNOjcV6tRmLe_lxS4=HqF#7tbD%bbLp4PNHfdQIcaR%_RHsE#klsQQo+Bid zpXjCo;KLR&49t773Idtfz>Y34iFyd7aW&zklSofekL$XuXaR`24>~p~frtZGsG%a|w3Cn!8y>m)({dISD;Sz(YREXW}qWDSvW;_xX zXVvoRT%(A+l2~iWjY0C~aLoXSw~`6;ILtQsOO8qcy0^}DX$7&idEAZV9&E&dVeei$ zexo;C4@jmrIa-mD@5u?V3kpSdS%seV6+5_l<h*&;$QP6EF@mys6xuuSWf1aAYd3c zV+0l3#B|qqiVoD=$xV1hqxzf`Z@>6Ek`=_|epuGxQO)a`wzq9bg=|sD2YT8+qT%w| zotS27zO)#u7dv!&nrkII85LWn9e--F>})*X17XLS_Hv&}Md?)1J!4IkgPcS6z|u{V&*`{JIh zCku8F5D!$7LJ9d66N)z25q~?Px)i z;6>cUGLqfw=gb$~TML|m6Zt-pTCdz06(w2gYm4UIDd0{Psq_U;sdHPkSw!chJ4#cY z9(>N6oU{&8oAjQk-gdXKa=MdOkgqXMDy0xwc-c17`Zdh%U{!NOfJ|*d3{^HnA~5HR z3m5fq7m^VUb2pzqzS{w`C_J(5(Cf^}(0t8E1x}cMasF{b!xLIxuJbln?Kxa0IUzYq zS#GmrJyD4}pduxgm`-mZkt>9J__m;hyw4D_v!wu$?47ApSu6_=ucbTFQ0IiUWq zDJ)3+Fi#NO;vy*X%ajfX)L;Lw4XbeP@!AnSjVm8?Yr;3^;)ZZLZtyNzZ?l;v({V< z%RrX!>Z@JS=h%@{C!1KbMr=IMO`VIvNr`fI8s+WODmwdjurJuyCJDTJHwz*%qhC&I zrxeufmMoX+5zQ&e87Vz{{*U7Mo$sumLVbN;mdWZeFf2dcF!0J}=}?qOIErk5^5I9p zUZ63K6_U8-loxDK6=KF3j_KyMivCDS7OT=(!$W2=@idyrtdN8X%O?D$Q3XBVFC&u`KHXH1XRxf5n93%T zV*dZdY>?7(KwfC`NR%|O1=m4c%`DwGvaBiS58Z% z>XR9h%8Y}L0MY^1h(&MD2Kuyi6}hIiYdZpon zOKM~N_;QAy@DfUf^i^Eb!=ldN<%`9D{-@JCc=oWhIYQzt7S)FIYS!W&3^yD0Of}{n z;?uS$kOxq-MJf^lcm~y@XtF^K4>boedg(FzjmoX7?GPz@%U08#b7$LWrcU{_H2)Hw5$}QVU!|AkumA)`wnBAO<6et#~ zz(LDeU^#ldi~f);VqWP`BrRJzQDXLe#{m0_$cs<;qtr|Eg@jkvXY7mgL~jAZH2OSD zJ>{9aaG%=W5!3%(oSr@-8s%3C)=v7%0QPOHiDE@rUay_J5S_hjzkgXmaHVhiX}Dqc`6oOr0Y*Px@o7wt_v>K>q~y#~8;Nb^;71cEgi~SB zv)dacs%$q??nqf^1h1X&Nh6kTC770moRVc8Jfm|$-CDjwB$YLb3^ZSPX3l3q96}Wb zAO$DyQ0BNw2f40O9n$|a|9>g|-}i18g?^++n0^pg2hp>3=TML+3S_06%g_HGTUQ+y z)%UbzU6e3L5s~f|loElJ?nYV=K@g=xI#)ruyHV-xln_Be0qG9uZlvKoODKGQ?>~GH z@7{aPoSA2ysk?_?G<1b^otEz8k~_m5BR2_#gnX^|Fpr!=|NRMOIeW2tRkMWhuga-d ztED4h4>~3d9520De#|JT^!}h$-8msM@_tiH(W51aMvWD(%GNU%>-Zq`_7Z>41t36V zG@W5>Xm`2IMY|W(D0|)#jphDk-0P9}cBh$wp>tvNt`l#yJF1hTZLKd16D@@yqpC$r zS@wgsmQ%Z@1|PGfS7Lk^&i11pd9D;xXc=xSH^O7{jl<+v^KIbPPvIp-T;n|IvF4So}Q*HI{Ef zQ#1OeOKs@EyhbGJ9q%_}zf*oxYWHi?C2QOEZ{UIg^HUP~9|42+YJ)KatOeUf-rris zZ5S?B{B`MiGq~75;MO;&9`@3JXqvZ8jfto9P|s$y@=X)UN!l5iEp9&1Z*JJx?fV)KP zd4aMns!_N67}b%=E)uQ)bXu5?DWa+w6O~P@GyLCr^}1YPP}-W*Zc0bL1oQ0W*R zD%Cz!`AmMs;^ZaXFG@F}do%sK-S3H%@=%9c1%{(cCCiLpHi&5VkD;=z_G~3Q-h8q4 z`#Il)Ih7m6%60h9x+<~$u((;|+;0yp)_vkVInm|=1a^a^b((LPAHn6Pe5|~-Z#;1O zt7IpSz66OyJbQ^oyTWWauD!gOZSCi;BkPAT2RkVDLKJv8@A8v`BO5-+%C>Ua3dmd= zh~sMtAvE4#yb&b@%Kd?onKQW-TQ_nksod#I8C7qw2nvde#@O2CzEWCwSfIqs66&*_ zx$TkEfc&!}8)p-Bf)d~j&uZZASM@+Hry^a$jwca&*H9*yIynAo`Ql2WZ`)BtSarU| zvN7e>zH-f6w2Zo4z~9X~ZjSjxnYIK&VL{jW39c4jFLeL#k`hdP5{v=}L4ngM@0N`;eCTSn zlXTXyrQNKW!DossqX&ySf>F`4+QuR`+9MPU0bKbf0l&g?F^c&!KvF$iJH| z0^hG(Js%Y39}?vhwx&nd2%27MRXhbcXv+L;uNT%d+{fpVqY+~IgA5No z`a)spB^1}+s8ack*+uZ$f5C4%1olQPuvYN9t@qBsEVD$ATG%YA$9~It@1?7c(16Pk z{RUPi3*o+D6j;yqMXJ8UuKM#EiMTy+fCe;2dH-f|EH3t81d$nx*T>12yxsE+_5xZ-i_CeV0xPF&B zJjTotm7oyuvlgFM=2JpHlt1Im@JW=tZ#3}^@FsRLwHx@A#7ME9Mo_C#7*&jHQh&fz6C58&>x}Ga@JAJ+c}usU|5phyR>VnI zcDz9kRhi~0QxC7>I(>W9I7yhpYn-Y}T7?Xb&zGE?N6@b=v1!OiCcH>!$g6S+Nq=~g zX_Z&cq;KX=EX!xDu$9NfQ(U)LCT@rw7-S?!?J~5o6q4I@*rLu44=l1+Uisk6b6-H7 z&rasGhdzangmmzM?i=m5-cSD))z1#7S_nCVJ^iQFeFYiOjG!53R{2q=-PD_R!lQGZIhE z)mh?(d7JHjC66a!jd^_0Tu}^>qK2r1-?wEx2JDEEolaUt@U4-VYcM7L@9xwGmaICT z9(0ycLr|<4{Wp41ax*jnw;sNK{L^7qqBaLp$M9np#;>9nymCqf34;U=Qho{1@NY3U zbBQP*edSi7W0^fO71yhtx!3NGL?QL97i8Ca>8ftfHUUp_y@9u#_P)>*|Eig#*Tz?h~9MRi@Qf^Svm#t2~WwMM4&l%V>sZBSjOE;-; zvzR3XRZaI)1uKUEj2E{ypP@d5|GMHsxmM{U){jT*N%z5M=|1d;5cNSo!78!G9U)x? z<;S4wsJ|nT?@UcjF~0Gom@lOJRS~nfGbmNqN=o_%o8H?QMDsw6v!j5zTmsDd=jAKn z{T$=#lG79RS&S@?0bsTB8BPd-w7lAmvzN!eXU1kv%>RNV(zk$H-)9nyz#z% zgsENYa`cFvObDc?6^m>^J^Ia2wSIzL#UDznsGX))ly5*8CTiccXX{6Q!PC50BHAgW z9;Rma)-GdEVFq{$UZTQ122=G zoE_Hd$N8<=w^LQ$XpYIf|J1qGWrUCap)+h2_1cm{_Lt3}`*}7aYI1DUwgq!q55F2H zutqSw`s_p|@`&t@_ghA>T=90NNIJu}F1_oHu7kGQ@w%@z>G-3HXkx-k>Hn($C?pu8 zkO)5vKEIk%CXcx`pk6y~~QtMIg$K&SuHg)g`Si87v&U|)K)FA`e7Mm71?u>e0 z|8P@!Yo!8QQ>>)KknkPicHEwi)NNrlAT#N%cZh0Veu(YFwsxDc*m+E zDyqzyUyg0Q-8WT_AZ&5a$Gh+T8|C$bm+tOw?FKP!O_GcMF^*;CCs+!dgA zm)0S(j(x=QA9`P+h{VRzF}7LNK%nK_Gb5}doEegsB16o#kTcU69LT$bO!@sMApbUKxc@xW}Yf~IDO;T#j z?!{G3(%_rmN!ZJ!s@6LD#_?XlzoC?%-3tjyzp9QxV(I~@Z@C+qHu*|ptZPT>MaR?; zUq|+5cgATxOD26c7xCJ7b%eL@$kni^Ck4@Nf)k%ud*!YM^M^%F|8gwDz%_H_5{)1` z_qeZ={uTOR6vJ;qhG$pijYGrnj<7W@ZGeL2MQgT)f+n7Tql5iW-GMyK7Q-jyg`Zyt zcCE2#`sTtx@IvG0z(VQ^5&>|iCq3;)W8+Rwtf=e~aaN~2N)v|e*J5#hd=gr>rTNno zv7hgF>TpMqbdQS&<>jr#9<|1<&}Wm<{+6RIx#7}nLL+zc5moAuoffNOEYnowWr_^- z>{0&s;{Uid6l)9`V)ed&U<0-E5ORDu5H{UZ&LMz%0Rl8OCL9eqyLd^oWuyXX2ePr} zf4_J2`>q@KW~4dPzwA2N$Sp>wHw^f7(LYOsSp6xfwJ)oP8UFhO=zCbvpG4`+4@770 z0%!%*U$OB>MjlHmP}4&IccLwFQr#c-TBK~KsHAmWUE^_S4>UxJkMVGLsW5~QeP9u6 z+MmA6vNh{8Yhe#!rIf{+NrIVnw*%2DwRiD#Whe5~)TI{MkW3(|Z zf|>Y}>NKezI8`SPC7mpk8n1jEdZ*@GD=5q7_|VV!2vyf;S6!aZS|YFe zXx3uoyJraHR9_fnhH{mc)~iDCITydp+4yVEo?+Q!{|W3jc1|B(-C+s*@qxC_+|leLLB%7}su%%LD%)(&gqI+f{VV%NG>`L|=f7#=6LQplr$^ zXU2pT6Gu}p&KH^w*FA*PQNesXbUr6OgT7NIp*)CwJzOmPkYipc0V63iGjRcL#0&Tq zv4j1~jl;Q8f&_17%-RA`KT4^)mrmmXH#4N;?!951whs4>OA?Rlc3i@;>A6g%_O51V zthsb4OFwQIMbO7yKEv&Xfk%ql0Uhmc1_P^MZNmSoa0WS09=l+y%VfUM{b$BCJU?MJ zHBLiekhklZyiI_DlZ*%}Iunhc?-aGaEwQaNB{+$dQA&ZFo<6PbQI4y{GUFV1zX7t+ zOuy|!eD4intbtMr7C|Ae+}F`hA8;p_-9Jd?@TN;zSB!Kgs*jLzq##;J-|lpM5eDZ=K-x`GwXbM!H*!~l5?*E8I4 zkg70Kv?@~FzsA>d8#M~zvrQC^dGSyP@~8E5^0nuh7RwHtlW;C6cllRsb16#;oQTkvswDf!=yzn_mMr@qRi1dNvKI>aUe(6!nLWAKUF7O zOcPdHAwMxvP3ZAbNu{K0zpp?DPooeTvAj$;kU=u~142P%zcY(L0C8l9|8V05=%A&~ z+6c|)Er78v?IeD;ate6#DEqJ~`=9gdQ!q4bH!QJ&1WQtFzX4&{McBhgL;SI=|uyDJ26;NB=U z$IY-1Wdp#wc!@besO%3hF)y;s(L(3ln(5_NPH!}nvkjk%uzoV`681d+8)pU^-=7r2 zq=q=s-BU?tTOHmAo5&`lM`Y95Q(wx&Er_XX4S(WAR{g?NOtNU^Yl5y4%7`;C8)W;Y z1|(!}(?9vs<}4<*J@cNF;ry0i@xLIN>KnLhu0gwfQhS|USlA3G+xeI3vJZAq2oT`z$euD0=~lI zaaHn-BAzny<7P-p%e>)?mVU^DtCP-Ir23dd78%4=b3ut(DBJ$dcV0BSbLK-A9Nx>( zWs0N*IB)ow>ie#)PEDMH$3^HtxdP`aPS>p^TU;-Xmf()_mUYP1EQRw51<^iWxJ@%d z4&m2%r*%5Hghmpd^j6$<<7wk?zCt_i5sYkk>rrjdrDn7LB!^)bsL_&-=$NJN&bE*D zhs<-Msc@tW|3p9;vqMWHodI%#G8s>FAh4hkg+Ntc%j4_(;}6e)~4 zP%fZ?GfW#@(KDS2@S6}_qXd^oRepy%-6Z&!y)rSwlhiOBGClw*$JxSB3JlQI)2P9z zwLm*ffoP^*uZfZtQT-3SLU{r&8MsB=d<_2ajdKkX}lMW~eUo-a0#fEERldxdE zmWe(j8x=qR(zPq^Zwd+0piD4pGblgp43_RDze=elA)oV~^anJ%x<6(WM6~(}Ei)Ln zO;18UIuM(B@ypjRqI17j1dh<3*SgFH_7d$iUx{22V=T>e!v~w&#PjXmGD8E}H~5I( zu?PO(K6?B?>p+lY$m0bj3K>%Cd)s#?@T`lFTt{uH zT5-cxho6%C4Y~?Ps)g$6kbfv9iZ*~JqERkC zSIFDJM0%yBF4InLgQv+pKUmm-65t9G zC7ucxD~xde$U;iPi6C29d~>J3pOon0958Xo;4D6?3q{*F+!TdGIKZOxdS$MxvO(*e zn6(kN%0TA0J*B1cKeT{@=ll6qLu3K4B5ljgVnGfm;ti#Kb_+`Zx}+@mk;(}zMg`Lp zMG(>Q#1u{4H^BZ1z@JB{GGBdepcd(UxwWZ5%nJ%4q&)z?PBag@?L)dYBgHJ1Sd!NM z$(UOUHG&fZMI7n9ruw_Q>9=6)(O!78H$p(Z&|WIe!wrT}f`b^sqL>XR-;^K+0l3^v zUPszyjWxDLlS-05oj9n()Ut`;D!{_ zRaTz)rqD|ss3W#Sg6|OyYqTDM7|%3S;LD{3(FsjH_dnHx7F+9s(15t2{k}0bqP{Q4f8=Av7-_^R?pF7$oD)m ztW4aRCmnREPnZHSHk~|DrR?|?uRlAlNQlpwvQK)G)5?(+<&opJr8$a>pofAU?ds29 zk$w;Eo&*%tcJP(Q0+g@zp0I4q2*}si@n&6&G$u6WRB5r5x-$h^yOlk@Y6lxL?uw^h zi5ZOjCJn_{aX?CXvv!~_=z;=GtOi-WM3MBv$9+~0eJ&DBXIKvEYwnz{a`!(uZYHtX z_V#L%$5)|1LoSh1y_+-ZP=(rSjY_tQ;om=WL^Mh#yrB4@6l477Al?Jxy#5^1tS`5E z9Zf%j6PVaQs^0{MDh@cS*(XrOU~ zO$u8K74Hr^1_~zvCbvXqF(8M`2pm(*cZj$v!O3tRG@?G{S=u;~Zo3TiR3+IdoURKs z75)_GC`V@eJ1#&wjvcy5n`&Kf?4{=~wa ztrgv!o_IVlaci70kY8f1cK4`u`o4jI*obUJ>c;Xt(WxUY1;tE{SA}xedSpL#^|U~x zcOW%LhucPjb^3rI!eQ4-bq{Aihq);9U=x~K5>uaS0xR@B zgIZ6PH8wW#b04H5>Akr8x0P|AHjpIvB1W}J{*7tVnYOMhv?a( zq>PtrIK)untjVBesgP$eWn#5b0+bHlw*uK$v01hVNj~~`tq=%yR#tY3e6u)DD@GGx zJyQ-74XFoetYc`49U>3e7iaa*qroi0S0?S8R}wkozno6ARGh!skx7jCoe@aTfFgwG z!c`&V-UG=aCLL~b@lSEKkI9TH(kaTm@thYQ$tC1JL_;5CIuvQMjx&YDJU??1B&=0j z2A(enf=Ue<8PJG#G-fwWlu3w0n+BU6(Fs4n@!g%$F+%reB;9Wg*=t!S1}`D!4Qq6{^rS%s?5 zl~)BOBoUIXzVU+#lw|!Rq5=lL2k743d+^uj5g+7b&e4((&KUe6J66mPSRqneUQ2*W z#8^nz69kBrpo>u1-RFpu2Mrp4Jvua@{!FrN`2K7`R zDG)>V=;pnchyrc11t|khs*D7USwGomRk&NctgYd}gpqK9Og?6GYs^#f(PD^Lst2py z@98%ywL~`Km8}Ow#L#o2D#zdqGef=m>#*gE-iTUhS^jjSrTSKO*b9q(9A%UO1pk_# z2d89j!|4uu3Dru^pGnqNbsV-T=|v2oOwD$CYVNfcQ4?UV2m0MdxytEyppWv`obbZK zFG5vL@8_BmmYh>5KyL-83w2%Sv@;z#M}lJT*bY`#UC4>Bv0J9|5c>))xTL@pQoy+-a0$+j zp3z$Z8{U2qJlt|$;E23pKto}M{pBSjEsTcYN+JHJ2V1VP?nvh!V6Ori!J9hb1}O(_ z7@K;?Q<9ez{hAY+VI$x5Y%_Sv)dHM5$tXR7Zii4mz6(xG8@?2_8T4b$%HPNCFgUe8 z1r-Y$IcZ#w7&j+5S*&RwTm1XNto#%ovFDCw`WN2^zmpt+$*6rIvJnTd{m}e;>4hEc zi-2iKG7!OFwqapE`#2R1dfP<}h%LMksJ3DOG`sT9#T_u{L9}bL7TK}ky-xOFKM$T8 zRw7pnvR6w(?M16GFloCF$~WD?90@hZlL}tDl1)~SoaD(vsahL2*<}%ZA=6w*YdX>C zhTqkq92MfdmFZK0R7(TVx%p zx~x}LwDj^NNEmMzbRkkdSUP+FuJZsX(QWN0P!{95N-N_p%V- zU)9K*k%ZS`qE&djts<-&%H2Q1fXA z7j2F~8X^bcXA)ke-4ou~12Gh*2Bj!!O7W@o5z76tsDm;-sNXr!-$RWSY$I?~koLIiO^CzyQXLk8j8T0)y~4 zUI!5p7;^V(bt;4lpqn&=8r+<{b?)%NIXN?v@WF6CVb}m zWsa!*K6HYtqplT>xnW^uO??d9{m{~#<(!Ta(vU?MRu0k z-o^sprMTqDH#h?^1Aey|w>}3=3*f)g0dGFNBVIT#E`*W~dszuPl1sfRURx)^4?9VSPMqSlTc)_t{tm?>InVkLr5<>{T&d4mLtJV0a|pr8p44Jfo{)Og4fP#Oj5v ze{@*Q+Pa+O^p?gQIWLdGZrK>sNbo;Co)bk zm#dHN$fAEfOX92!FLja(XIDCUiDILw?wLfZhUh-A z7a^&+o9GwL8EdLCr)0#yM&Gp_GwKe7OJJa+s%b8W=~LSMxYF2PBK=d-4!j2kS485a zmOV{`gcF`XxGH~Im+7gtocV=E=)oRz^yW_vNC+b}nBLo650evk8iYh>5_qL6%Ciq= zX@}qU_yBOko$p|~j*WwPycIooJ>OkA(1jIBRmc=%MZD7;CP2v!MWfJ`kqB{#%EB2) z#nzeoCDi1&TR2{Jzej_q2)mwQcXgUlr?&!;BR)G(P_E8^fV5hJc&7Dco5IzJO1O-j zuBenuXo~x7zk06Y>tr_|-#?iI-a^>w2nHAhn4Vk!ZOMA;m4%g=#I9IL%WnHIYkjd7PQsB14#`hRwa_@dF(LR9-Q*!8$7?9J<$OvO4%)%7 ziYwd6WjF@d=H_U$HQ6JX*Cvp3t|GS31oB1VJ4mK>Cj$6_i(>Rkg=~2*EahEKXoy6u z^H^FeodC4t&tO+vpCw6nwi|lhry7bWXm=UvkdPmTbxm;u|UXprlI@tBpmpdReB#Y`idl%zZoe% zqOsE8YBzG4Q+zoCO7F*4+AD)lX_=RR3@|etten0Kod+Lq6y_gz!Dvw@CMd;crv}ee zm*F+22?=rLI5|%%j9$im$7+db%J(BY7Q-PuV2w_3gaPE>on0vVCHt>-%yx8lM%!rl zkqRU(O<=|0qGXPUzSjHUk^9Jec6UL5?B1E4T|z2`@GTL579E>)GWzJ+9nbmgkvo8;@APe zU?_lAxYvtPgPdSIFjTCG7LGkJkO#?{dz=5rwnGBBBKSgh2@Va7#y^Xae2jxRIHX^{ zD^y56_q9^QqupZ2)8>;=RX7vydcWfC9e}fX1kpPBlWV`Vr@wm$>MTqa>Fh1$H%{#1 zpGtkf7HyRT$K^YccdxaMn1@|zPT3^z%#Pk6>}Z9@+}0cR3q9poja6lvOiN-+2xxE# z)i<%DpOL!sSDB9Q$%JU|HQQN8J~9yV5Yp*6oc;ogy9H#8-e|B*3uGKqJt$Ck4-&`i zw}fzQ@ZQu7iHMaS+z-E&xK)L|uu!{t|Ej~q1RENq>AIIDB^$Y_$!DRVB9Q)&Mw)M$ zOv6jlWIBGo1BxVIQScp&SzOS82OC{-+6u$=5J@!8f4bH_M0{%$P5NSc;X8%uz!2JJ zRQdHSM>z&x!uh58XFysWtr5jf`XsH^fO!uBQgK z=QNHD0%PJhTdzkj&5aY;StcnX{MM*VIZZib@i?)CxLk-7rt^sg=jDI;2N1}zVun;c z#B}BTSEFD$q}+qi@6oz~=8X7q0lF^gG?vHy8OP%i8`~VZ(v9wuKIAioPuSipx|XMWmN|!2s+MthYaWD7eB;= z4K~Tf3i-Q%0s5*C|F9P#YnJmhdUEnen(IJi5!WosQjLe z2C-n_oWCQOf58CCwH@1y}A<^ci)8aZQQu$W2) zSx~s;`GNo;@X9hh)9l}scbRg}VGa=C4J5YRJ)dk5uA(mSZ*$FekuzQ?Wi6kQ6C|j( z0$>G+sjU@Yh11Z(y@T~UgM+&s9_}HH&u@u>Tuf`7DD2#>0jcDMyNy(cA>tQZL8Cy- zrSRV4rHx)j)XPUnF%bOC*LgRzO`4?Pi?Fi0Q`{3^55KI%E0fiH19obvE1}U30RP6Bje#ih8qAi~C85XlG`>Xf}RZ zrjS-@IwjSq_eFssw68`X;U*vf6A;7B+J%r2FG_BOP?Kn80b4(sg7Q;!^Sxjsd7{h!yzbY-3$r93 z>yGfv3;jnRaGx!jr=6Xi&>fRYRnGJn7(b5kz(j#8=u|o#ANniv6X}ndL!6AYlDfQ9 z5_-Hj!z`cNQG7*5%*)#~Jw`!tvT<>F5Zj2$N7-FePOueNHTr(3LustLJLtJoWUaAj z%u}0q-Gom|pgC;AaT+{;0)U4{yzSuIa~$AQuAUOwKMpt7`j!2}@KgF z&kkAsAJ`&GPZDu}hHK-1;<2|(4Db0oz_CHY0?<3t6k7v=W#={3Cvb9%RX*DUjCfr+ zf#4N=B*W9!r2Q90Xyo9{d);DQWkx*1=D+*<(^sV63i z<2V=u)QF18m$5NjkQ{gcN5oj^YNXtS-gnl@HeNY7+%x}W^^X)mA@ZZ^eI`HJtER>H z*J#5Im9k~IlV1p~^R_2g(uX}iy{EIY6(aN1;st_o5_jY>11F@H136w99hF>c$7Pkr z`{l5ne~t~JOhQZ977(2Bq%ss_Iu!yj;d{Sk@ewu+GK2u-%-$FS=6cA0sGRVyn9X$Z zMpUfX;rAM)@L9R_{<{&V2*S-@>L*I-sunvecPy#VDkr^*^*2x}FB~vGCaVZNb;U-6 zmpf)`04hFKzX~GmnU2iFP*Y+TR!=$1Z$x6I7c+&*h%^V^ zQz+4@mGVE;<59Y5Md>V}*Z+eU&NoqC_r(Qy%OYp^QQtKaOfnSRFf=dxC(V_Aop9%r z7_0>zkI`G^RKW{|LCJk7?^@29yY@D!p}L(YE7ZYA@0d__pzyt@`R`a*A^c z+82p`@m~56`%%DYW&sTB+-5P8Ba=ojUnZuU^h-CY{PGehK?kD+GeXmRLjc#Kj6=L(1GhA^EN3aXg%TQ!=9OH?joD4%pNl!Z{b zH<#%=9eN6NR4w$nl*~}k&_rqE1=U1JsHiY(ZTU$mwuX*Ck|HMH;oeFu5Ek6MdGO%X;1{UHwTMed5GYFU2WMRD zM3z=zF=rSf`rQ#DSb;Y%BN@ z$iLL#m;aPArCb0-!61Q+$|6%x-B9|u4*r!Qs6DYFx5~F=&m9}F`8F@H%4ok+=n&y>X>=A zrgezYaxu>~9Gp@;Sl98q<jX zk$3_2$gIM`JU{fLxxaR;(2J5PPciyb7D|{oI-lsoW5GwNNzo+j7E8m~k4kTI?e`nV zR(&O{Tr@j72_%RGeU8I)cga#1v2RaUYcpDcUVgV+x09ee$Jj>YwC>;Y#Yjm5DyS5) zb{8DujmO&6xyi!2^8#mT2aCr*j(lKvYf;TY5(}F#vPc{YQ{bw%d&geoXAC#;7bg!S zX$5E6kdKOa5xPOWgCEGE2!tZ;LN4bOqskNno1laI-ILyF$eeOCn(^}^?Jv`93m zb=nJZ8@IX=^Yb*GhI4a;gg2B;xSZM1JOm57P&(r>_}spNcF$6bncz3!qc5ZGrx(D0 zC8A2&Pp+0cUsxXNO1z(MYtUU{BY*!BgVKE+(IfNxC9bnGo8Sk5Jzmo;2`qjBd5S5P z==paa-=fU^`edd(wMM&3XS#=x;s77Av(yj7l2WM4=J&5|9s^v6Y#t9N?qXZCKKs%EXUJ2i5+KUNnsCB%??MmDC*MP zl6)P`EM|u+e%qq*rwbQJ=L0xWv#F? zOb&HnIG;Xi_YgVPczur3?w9N8=FOvol<)fY{@#%dp~^+p+GC5UF16S!c5;@ipX9!M z7prjJxFscUH5PAkt}DB*rBL{EODRIYkkx9t9vm;)bi`#~Ea|FKw8r6TvatsMuBsi( zbIWCgC_C;&_vYwnz8Ow=_W7VLy;Z`IJ!OPsJsP1S2-Aa+qV_hW`oECKfTG}hskUo9 z6n*qy)>ozMh1>~HkLq_`Ium~(z5mmfQCZ5NOu8|L?5{`p#$PFG%%9$f31KI$dA#6a zS?SRL+O1ljEqnUXwZ&JCxXD{Q$%C41f47}TlJj=6MzYy`E7n}eFufI>?(UyThducL zFw3(N>veh^oF8{Zgb~eRs#eMw_7&~Ry7!OqubpWgQ&Q@}=~G5%mUki4e-Y*ZJn>a~ zqdRqwOYKi&<`++w9vHn&^gtE!xE6G}*LZgXI)7?>fCGV|iD-B2PPTn)mUG3<5&i2r zZb*PX>#c4`_)#^w<4*=+&VFxaBWoYHAH%ltj&r&e{bsrY^BL@-$pHo8k7i@RCXro% z1Y#lcxn4P2PD)_)Wo#3_^0-}xslMIKIqF9DkC%sOw1;Ngzem{JI1^|h83~IV-F>6z zzmh@x;%^SmQ-qAgCY$(t-1AaSRu+B0`$?>2{1@pdt^mM&JsB*MPkQSDLeSiX;G3yL|0}u> zbWuq~<8cH|zac}|^GsKvNnrTx`-f8{1q)3EZ3RlwyWOa#GIXw1M}PY;PvWlC+oSMu zYuo5P6Kg8`wl88{#g1*7XL5y$BjZ$M1%JN|{xBh}-PY7IhRtVV)&3jzTeibKgUivQD+q?E?Qk)$q=Ocg--^|xto%ze8c{p(jl$sx|Y)|D?W=Ke9Q}c4=Y-^A|f$o%d~j^9#Sdr^JE+? zw!qE6LZDfWMYGZ?H=lsTFXaH-{Z+5|#ibb273sT|QP*8tPv~dTumT z{A0o6A9T@Fi2L#!N~sC4&foy&9pJ=h&q8ZO&%_KC4kyFw%`;MXVA7x0E_XP)swFb7 z_Rrg?;ZJ$ZcbgFomI}=`Wct#^up0h z(POmuBe}6 zDfO_;_sO~kkDi}iD=w(LkAAaWftd#@NZ*^=pmtVQP&LhZQ}sO)=S=KBc&P*Ol(RQC z1pFK)qIwj&#j``2lRGwshxEI5m8#CChN&LY{=B$Oe;Ecxx%Q|}T+?1Kn>)T>ri9=tXc z4DkMW??k=e{I`0Gp1(?Rw#cVy9`_>Nb|k$ivhdeLxiI|08<6stz{RrIkoC}??ybYy z@PyQKrfsLyuj{<3*v*D#Xm8qpIOrb~y;x@#!`)%x)w6Wv;n|J0wOiD_@eYNmEY`PJ3F zl%WvwaM&9b6~24>oAYxSF+<^n-cp`B9ENX3^Wy%l8hQgOM`w%#3t>Y3RS*#R5fL9{ zO9WjKxj}&YnW>V=={+v~iT=ncLOQ1S@U(WDyHuagjf_tmu#vZTeeSnxE}K5%(!fgf zAWtL}sm33I53R|L&fMS`%lk;|Nqhf$^5OW=%p-4E(UXV6a?!5M*ciTj-9g!3JR6+h zEsB@3G}uz*hcjuWL;|g z&F0F|qu0Qr<-VN%Fw?!-i?&?;PlzOVK!_9ks>Fyz3Bk37_lCCTC&~dXHjV8O9~m+J zNqBi8Dv}ZCpTz+J?5!Rz(H`I4+*fwj=4{jepV=VR6?OU>oB$$&KpoAw`6z(?Y$T@k zhV&oa>WuA_2I;JAn3=se`pxz$jq20}?QwhY_H^3mpFeNk=;R3T?yWRef08m_Y3!3Z zz(KDQlQ{NQ6)(`eyGhkmL)-B1a$Vt#c}MyEjr+xfFX*3=pZJ$GO>INNz3&9z%QzE) zZcg$6TLa&oI5V88yrb^>m*%2O#DKuqhJzA92Hg5bbnm;4MuRK$%-_9{nZK9d9p3pS z z8VlJ`81Mb;>vwce!-LFw=l8LS!P{}Ice?bS%Vu}bAzSOr9klJuIJS+ajMF(B6RcBL zx5EG&S8F~wJ9zrtch#M$PJTzX4`wHPoa{z8#y{N`A*vZ5I?Yzh$!o89n}Ki%&?3gv zU5u*ArQw-2)v=FE(}E*^HLQ>twov^^aKUG!kRR>GZP2<6;~yRu|{xTS7=ZY4?Y6UKc;qJ0>jB%!N>cj5;*yYb+l&v z%PIjJy${#dmudiCt!A=PK0Y31Ppj`Re=eCoiYh9J)Bf5c z80T4Y3A>734X$;GuulJtd4PzvlfgQV3QPgXIx$?t2a9p7jryXk4ccSG_;n6K3sqZ* zJ971tUI=zyr~Z4AP!wGte^wmC-9UHG-k(J;+s!%LRfYm`|Z8yI&k36YiYy2 zZz>PV7UJ;;9q&?Han!Z+NVF)7#O>hHC0dx6;A2Gt+u1Jt@uc}>W;x_<=is#*AX8^n zb~iX3*<^?h0h>?2H{m))r#%~Qhr_QW2@6d#=0D>f`iM;*ZwufPA{PYs~ z26?OGo9R6X)9fbsq)}M0tc?uJSv@5@tecabjJ>Eie4ALwG%NzwqmZ-a4^z@(G_ZlMcwWEb}31pAo zRVV5ZdtapVK8-wUee_vXJJ1GovLEc@tS_`~^SF|tput8Ln{-E?c!ZA$-U zeqbQ=2K=pwRzmY^(3ouLu+&r&{?sL@89Ex zlaq^BGPdKa)QgNfL7sugk$U(a(7{G?z+E|CKV(KgT@DoCRr3rH$)LtG@FKOENIt-D z0HUg+e_?epOnOn)jxadOak_1G-rtL6*g4&-fX9AeW0mP?=B4$bIkRmJ6)hZC=+nN+}E_R zToA^jfrf}M)HwK9!!+l-j!mPpq4Tn7#?ovZDOS;Ju1)lVaayDRz1dPv%pb`0B}TfU3>etlqI9gB`-lH(qg z!0zH5X_IBl8=SJ|37F^HG2ukWNTlh4>0d*M8TyK7R?Pb+`%OK285l7Z-(Y|7g>CcW zQ`8uLDxLN6mpya_`Yd-@`3+eK!h;xNas;iZsmVaG&Bw$n>?`|b5h$}STAFYSUfLK_ z=!4)aUMokT5r;d03e+mw1NGyc)AR9qCs-|(quT}cJcrsM1awy2P4mk>Ux}OZJ#YZM zfYsFt`qql91+srp@(8NKMQ6DeIXV{Xn6M0sY!N}AA?;Fk!4xy@?wc=nlloXm2g`!h z`iN5|7DilJHO`P0n4GbxH2RK?N zkfM_&Z9)HQHoP~Tozni&Uzs?rr7h|FBP;#$1+K%M4Fb?)I<@;%Wg6l#h3ECXjA!xu z9!(M}Q$*&fcmeb|atAx|U=y#RjoVWt9GZ9Z;)kV+yP$inHt(GIxFvsa*_kwVM?bgF z8&%!k@!qmpeFn zfzjEfh3?_8B-5Yo=XB~{S#}&bFV@vWcjwAF6+r55C3qHhB1HxoDR`tL`|A)~sx2x* zV(b?UF_en5;cj|ZAd0Sp@6HA|yLMa9*|M8zl7qILQ)}k|Kcol%jMiUQ3au`hUCCH^ zK&>RiXSO`TT6WK$y+(Leuo#Q0#tRje-QwQ<2zl_K(Sh&>a2EdQs20!Z z;gC-6{@0D$L_9Vegw+M;q9xv^i@wEaEO6%HQv*1*D z`0&jbTJuToGcD2^ooZKF2)wnybr)E-Emh@67l)q{w{H~1C~Q|@ zcq)_BnTOi{;M015M6h&!f3G;!4HXI0>74tH1pGW$E-;-!oQzTz|L8huMdu>|cDxi#`4{ z0|IU+Y8j7Zw3@!D#c@;m0}*C+Ox(7~W@(Sg+h;i>J6U}w+JFkiODQXZZ2$-aC+%tU zL4Q;u>ua8(2}gaeq8lW}oQhJlr31txzlOJ?BNS930IgV}t*M7H=<@I}l9{h894$j} zR=MY`pdTqe^IxqRJtyK`U2w6`$FfbDc+YJq&w5;3;}Rsu1Shga`OJ7P;$tpK5piez zBR@()gLvCJ$vHQ~b_!I05#t*{|1empGw*2kiL!m&hO^c{>K?Zv%y&0PP91b0^+N1N zkqCOvrs0KY>#Kr+H}zWI`a8TmlYC0&*BQy>iOz9BslS3__ka+i_IG7Dapo7sZ0TCZ zlP*q1FCLmC`rWWQ0cY3^#7s0YE;`SjfM8Tpu}{K=9&iRlaU0{;j$@i$7s|@o9m%fz#P1SQ{7iL*<1|rxMhA&igg7 z|B<=={*Mn|WQATLHhy(*!kcm$D7{%vLNIof5Tvy~Vm4mLww}al4&MLXS+Y%9LjF2> z3>jrM7}fF_Ukxnv*=_TMwM$|Ev@Ha>eo|N^uaGmx@>B8p7|8SD5Ecb}R&kaa{;trY z5Hu?0iVAY$z?@a?j1Q6=bt8C8nG)_fldBRo)L+-(QVOhWa*|nUZLKO4ZEiF9U18?K zHC7phr5+F*A1}b?Q`j|$50-6;XOS6@=F{s+9M+OdQ#AU?D}#tv1M>V#Pi1Mth+pMI z6RU$HHZ&&aF$xgQNI6<^E$=OC#7nL`2+dy#+zlpWii~bcXLaOp7{<&fheuj`E6}-J zU$71`Ac52#+;CQfwD`Asph@tQB8(>ixmmljcn4BQvKx_UWgEq%GmVWerZ?m+V8%Yz zx82MA8L(Wptr#{LC-ks49`Iw4ca(44ljSB+wm6t++TAkMkmWG3_xNbZB9*#0Oj2?? zwwd`JzS7b(0@Wg1K5wH%Ew-m*ul3RFkXMJkn;W>U$RAb)zRSZd;$UGIht%O%0;>JQ zRDjSB&OeyC6`EuFd+=>TC*i}{sY_njs4h-p*{YOsWgI_ALfn-)e>BlOVh?${>l$4^ z${RaX&?a4%kj-?K-rJWQQ@Qz!K0h)Lw*C9G-fD2QR|vS#6(NF1s9M zxrOpBO?j z%Xv=%AQtr_nHfPCtTcY~bl<5ACH7X!rphw81{VW5%;WGF~!XFd}RsT>*!tHOK@mzP#if#3XyX@#R4;aPd$jtoOon zRcC6Dzkhn=+X+V=)}|@Y!Gr+f)|GXVk;SQg4Sgl8{9QH-YF9c1u82*f@B2)sl$?oF z>Z<8w3pf*BcoaZq&4xUzZzcUNGiG|M6hoSJt|9+{FPL{69P+?^!%VkqoNB)C-Q2|AuhA-||;;A5L z{}$?OADGEK%;$A7xU@wGX_!cdLMqHux6+r_Q9fVCM|Nr(zrE)S1qKi#bn#_>tQn3( zb=2{dUfUd-wvOw8T%o-8jMK_iV#Ddb6gYeHFpd4mqGY-W5wFU&(~ZM%c>Q6>Q>oOT zR=R!EoMW{MrB6Y7FsD8-T+|B>b-U8?nLKz5Im}N@E-J+u-;c4Lt8q~!FYQ5*c6D{? z0H;;Tb*T7XUoAmW_(mH`_{JuRm&B|`56;Mlofk{A&D^=U(*onW1aX@FcZoj&Adqo} z66rnxD10c|jZE=6x}7o>>2@r>@q4%qJ;W#=MdUE5alJr6rmzX|ar2%lDVV5v$e~eX zQ9l2833Un)PuhGf}CF}=NmvLB6{Tf9hqb{t|34dFucS#!_rcIL=)Uii($Bm&e+w3Mkn&mGs;**Y_Mx!

Z%zhK zvTZaCNLG;4y5fwIkTD-omW)6x3rwWnFYEi2fV<)Ixp@X`gq)Pw@1yiwZ7|`q5gIjq zzRJGi2|46bQXi-7$kPip7zb3->pTLQ{RxUjZ9iRk!ORIvd}rx&tH|uF=hwcK*C8HM z(JWhVSSw2}rg^L)?q&qTZba9!)AqReUkw2&ma-+ z;p2tZjyUN}cq<$HoZLWNe~b7&6gL+l_yCC7CHq7*@L#!Cdoqt^`AK`u$bm+H%6mgk zi^O9J0iMM@B+tmE+Ace1P?O>RfZ8xXBwd#dq(1Mn9Z(WNd8Vz?AfB8B6l6zVq8hkdG)On zB?t1vFbYykbWfzixVS-9F&?j?*NO*%qTBCI@OvW{<;`xC0d?FtZXOy^Qg?RQaz}eZk6cvxGx4 zbil!#^zu&aAM*mfyUx6_aV^O8#DP|i(rM@uXGCP*cS7X_(XNuFnYO;h;b<251m?}_ zbwNlm?>oV`l>noziqJ|TgqMt6l^qO>xvH}B&^adg;v$liJZt=}Iqlrgen44#2e3vf z3JtN#zF4b&h(-uxr&y>pU2nua}tO+CohOwS~t9q^?6m)7BZm9nZ zr7gdG`SO5Y%YZ26_*!W<-LI1yJ6<@JI(XzYg>2515z#}`Kz1GS@tMgFXV?u*|GRLsXl?*V)(QSmb;F4uWxD9;unIazCD$FYN~H%|W0_ly3cl-M8DKEzJ_T z367Vix`LA{$Ih^wRS5F4W5s1ZHWXhM#*q$prx7sFZ}TU3kT3zPL&&4=-Sb9941gd9 z)z;0cdkwT3Nq@LkqL3g?2J{FcxG*SlbT3dGCRW`wo%_aJGvH@>d^&3r%1kn41Hdzy zqDp*Vv!TaNVk7DVG5IPbj`|w;@D{xqG3?^FqxNHntnnqZUS<8?Xh+ywRJ{61)XE7; zajPMhm=7ZSNyMY(m>6Jg! z7UQ08eqUxRvmRFyd*ZL*ZX?JIuNb!~3`hUCVn}U~$IkPQcFjAVvBKg+*VZyp+jzAP z(W|of67ca6x8yu(Q^(^C4d#c1jios}SelC$4{gflU`Onb)r9;kcOz1>fb%~BezsPh z21SPR!`9?i&PB({rXR=C_o9OXK=~-BFCrV~HjMqCSE`Z8`5wU^q(hDiIkx}1F3)YBqmKFUO{N0*nVotLQ!*i~v3`Y}&I5$L9yj&WUkoR(b$2QsW8XBwbwO0N=UG zx-^^XCx39Q$S=2;5zGZh^zR{u8eTX|oTAdnlIIy+jKzq6E-N}xRl&wELZZlyH6&Q| zj7v??@4vQcmzyVKiu|MFTagL$Tr~E~FdhYGI1=Xt^uyF3?hIjm2dT@ITO@`tch{>C zjrLSEuzHwTDa3xVHU0|-f@4KD!*OQ(?%^Zt{NswQs9b#XSW?9P5k*4DcpI)a&((m| z?eq^I4S4+hbB2n|;ftO_m~L%qK#{#jz24Q@ymb;G(FV-LEmO3LYn(C~4q_^j!Iu{7g}ryWK21#DFXt z2o`wO(ckpST2ObYNRw8Ff4u@G4UQh70yTJXnJxmzV67;!bjzi3iheF8-*%-T+@GDi zY?P^BZFoom>B_4ZeWt=LmL534gtS0VIukr%^{oV}l{V+>0ez_Wj>n_^B{}S66d)Z8 zoOgp2sV>PL9-B5JgYyi@{^QU}X-4T}@%fl$QnLKOw*bk3cRA;dT$KwC?d$B0%@Rz7Ap_Jw`5hhzA&osv|E0v%RDX&vVfwu;8xizYGUm(+V!$kacX@@FEeIGc)%Sm-T3DMMSoV(@mh>gzl*RH2g-7gq@Q4g@|+n8 z2C1g@&?Pm7l!_OvaUg3!YDkG{1aB-`e9g8&=)1gFaE@Fk{fTwK@0O3LhPrKOMz#uo z^gxhen&~(xH{*DjLvxrM?6&`L*ZqGuh7UCu%Ua`-kWA(>^fd~j=w#vDL^P}P+uNih znwab>vK>Jf*GzURl`eF!2~X5UNiQXgBFaNru&Ru!?B+B@>{?F-&L(T0**@Ux@gFz> zGTS{w<7HhYw`>ssr;LB!U=)+!)D^d7Jxct}DlZ}gs{YN^(qRbJvKA2@SAZ((%+2{7 zHvJKI9nb5W6=N)k#3%?FJkM)04K(Q=AZtkRp1Ib_vMD;j3aa=a!DfkB>%+WxO|Y_3 zRR88d{o9(yb6%@^m<9~LAB*pDb# zmfE1B%YQO1WDHHnplJc&=7?jl+mq$&mEp%I+k7vSKolCBs@|?0)w*felt8WW!>;4t zDutJv7BE^k66-WaL1w}V#;$417Qw>_->=R z1+&`}E1CjLxB4}u)T-xIJcfRqB_q0*w0Ja@`h(H&6X}d1d{LopwsWy&;s7fLpD3HV zfW;|;u6ffAp$|Y-NZ)k@6SVBIF{s=_521Dem2@qlZL@gh9&xW`T6yqjZm`phzt9aB zO8p^nxg$N(mSkz6)RBauJJ=xty<_z0)7j3x%IKRR!2J|AyPv_Bqj+JeQ;+( zE*9|_OWW53B`-n27UHPtWq$kVS;Y(Qy8bGN*wx8l?atS8lt^c2fGt;^HO#OVbOh!#OTUoFVV!TCBHNyBhf_NazVpQ&;g8iO$auu zuEv=J9K(jqr<~~~_brm?9}rj?@80XuC|}q&owsnYWMJw`q4k**vW)vVI(u`49zDIg7V`nzoFAPG4T=}{Y&2tio>J>jJ^hLZbgh#{ohq_3K{u*}c zWg3x?;&?N%vAu=yOQ$FWXSN9p?_i+EL!w3CY4XyYc%;G^#*?!M1j15fA03Pvd znQYy3GV~AOWU7uNRg=0}9gu1TgH-D@c`PHsoGa{LHgB(Q#!NKv`)$Ga-N9=SMvt!tFJX!zPyML^X0fYd5&o zmjQaK%1YToEF?#TD-F}b?Q}D0CDJcNIUWVM2@Mu{oU`{G8*uE-!ZL2SKDR#q&_mE7 z4*gu#SY6;%FZa3W=JNY9NSvQJ{X0lZw;wS7T>X*X>%SrMAFK_u5;ipE$b!^SC?#!S zzpsI*RihD|&Yvt?N4_%bU}kanG&Om93neH@!ninNv}a>CG2_eAh@uAGs4(~hX`EZA z`eZHX#oj~l7=`JF!bI*O*8zsiqk?L$EMlU+rKTIg5+Mja6b*;Ilmlsma8-LlIp@~Gacc$3M zd&;fEzAoTqbP83a;xNOw3cY4!L&;Wgki6n~Px8+eiNe(WM^%!DgS$1w^l9I^Pn z((=EkW)S(N@g%hV=RZ~~44Xj>{FbwT+TW$x%K!g=jQ|&K+TTa4z2mPR&=Qb=GAR3; zNvUf!917SD+ZyWx1Yy)N`nX}J6XYaM{wbs4vV}yp9{Oy~RH!(0UZYwI>*TTSn2!Nj( zxY*#6o=WRm7#NsOY~|!M6y@X)8g9;3whopU7_9M*al^_GO_HA2Vq8JRNZgQ@s7I(5 zZ<>V3h@cU70xBrwCrl^%M6?`V2i<*{Qb}(|V-b5rlJW{ph#=^{HnYW8VD@}Ye z7d|`7i|7Iu+hg0eS9kr-8`?KLi^m^ipLX6{{aA+)o=a_5|NN(_+uMPH{@Dcn+fs2^ z4m-B3*37g_3vqr26)E)6i2(z5q$fU#78C}3N4(V=|2qw>j};7tdKBI@?JO)ydq{ZK z>flP{jTG?%6!ChNz6|!`&t)%1iFnq;nd5(d(LCwLJb7%vx4u9j)XH=z%!=__d4m5f zYM;Hs(AHPZK594NGG$a{ljX7el&%pzHszcy_MG_p3n3hzFw{(|V|%J&^Lqjh35fNS zx&o=S1`kF05Lj<>OMOKvRaK08;5{w|1QU*d1>RwTzZl`R7|`qY7#PgpHwFe)LKp@P z_zed?8hMca`4%FOhxMQLH_!*lXv--og5TN}ZkCo#?l#UIKk4n_z#dE5>gaputEz}u zI6HEgJ#{v>&Q!6p8`w#ye4*n%cZ{y+NBF4?_?d{Fw&CliRX3fnj zDk{p&!^h3X#|e($bbsdLVdlf>(8|Gna_5U#p{mnnauJ7xg=_Jr66VtHu zv2=KR-_{YVD!4Q$L0(~r>uLV4Z~pf}{~4+4Zs{iH><9*WNd51&{5$x+zx;m=yq;43 zzorxt`0pwI>zn@?iM|CfbvIiun;CiyrFbQ{|F6&fJzjzvy}Zd$LM%V1z2F%<91==fl6WZ&>7(fit)n~d9e*TA^C(H~n|TZFiT9PjqB#g$VE8K+g>@r&=x9rtB^PZyWJ^iIrab&FwVz3sq= zg#7z5HG??anpK-n42CNF^FlIo1c%W<;RwusUW3G@NQ=LB3$gw)2+!t(;(xw{S4&`G z3#8D=iv8!5V0iAoW5F5z|AxCrptg&zUPdl7e%z(5zzfEVPL_{-pNIjA!+?=wcD$-& z-#yKBUivE99-d3{?NVUKq#dJuNXnPfKarb51{}^57V$9Q`tYPMIY8B8M}7Hc@=l-*tG3kK z-?owPeBJLU8nwKF_Z|_Lj0EK0!}NSsC%hHc@oRjGY{mGOdL$uOj(F7T^naEk9_H}9 zmNaOXuJYm*^!#Ku$C+L_sidzxvM=A@uTEX%0`rJ&TO9s{|M0$+)KNxz>VIG4o&Dd!A9rMRBc{J%3SeLkB(C5 zOJ+f;-^M@Gafo)r`t?32U7r!`V)#4!rQ@a`yFo=e+cyt3f2~e7GH4CzO|`5|u0BtD zChWEA^Jb-d(9f8XKb@qI8#BjkJe9lXpSA9O*+G`r-rIcTADq%x-$6%k9yLaAMT>7` zUP#Zu%+EqRa()0gqMaja>m~ce+`+`+9!pTkfZpRiqW<0AHnltjPu;giwcpBT`c?{J zPq#TR`V!w>b{(TiEeN=HPwsVe5%#C>bpr7sp6bB#uHv;}p~&Iis_hw^=$;W6%uirm zo&9B+tkA(q9(;sv&%>9dsT7{$ixn38jLvYpAxmi&u|4p+7#OC@GpyxuJ#JMWG;VzN)$&_<4Y6n0WK6T9K%Nc6$n9PR!S+8J-ksLb z$V8l%l6YyrLn-I`B*qVWfym-E$?y9RJew?$wS#oDEBrt%x*VB#1XTbR<&F|_s^mL5 za{SJMpQ2Gj1LMi7S$;Flg1!$POw^xpEAwNNN7lR<@>|BU_20@rnva%_A3fuBA9mQh zuUoKoyVCsK^2SeE%D&s8G|cFAyTBca|LGMpd}SzJRA;fEW;A(t?vEKw8cOkCJ)A;% zkZ4QNXZy6_FjRh^h`xg&Lu+Zd>mP%A2AexyqQQk?y~`po(BeCNs%30w{?|8P2K&JG z2Z_JuS;^{ri#^8!?MG3#Jb4jB3a{>>CuAYgfA_3Z=oY`_U!8N0?FO^20hn|xPJU{a z(uZB{`c00cQtgM!)$RUfw2&b=i=3J~CiHx!zK|ep@=(l?Y!vEB{8pqeSLcK8T)`vT zw`Lu`nm!bLlW;!#Se(G#tK#UX8V5Fm>*}b zp=vTEsf@NX|EXAkr+~s#qEfuSsKYM+IKBQBvXN+$M^r(Dwq^<)H*}lKe^q3LJ8z#; zKgsZlDOc4|gT$ln=>E%NG+1@WKz~(b#@3p&VX!EX+9$I-T!|E|Qlh~jdiiaki4=?9wy)HE*KY>BM)xjY3%=4^Ahf^;~ zjM=DR%{8M4hmRo7$W4^ka8qKUDqx#=vO*tg#Q3~$KT9~GFDsvS06B_>cD#P3YNi18 zoRcjIkHA8fD!*f9>VAo|w-}6}=|)<={)!$5C(wNX+QgzSQ}6 z3|LxPN678Sk4@&EMgMTj@$TFqHdLOVC(>_rr@7;36jdvhO;pOhy^aKN315RP0SzLr z=&QF!rLvCKn9v@k<~XZ9Nb2qzj>#vdUHqocCl;!ZhYLXGRdAOfdg};pLGHO|PNg>s zuEXyfZ~t&L_={3vBklTn5(19=32o#tbo27RKJ!hcycD|0-8Ft=39=Fieq8C{b0(98 zz)E%O&~$$VhkYvm2ohJfj>pI)^Ejl;1YFkuY`Q>EeQg0ZMcb&e{Klt!uELhyJT47m zI4@2djhPG*IkNDu8O1ND7f)8eqX#G-iqyUhoJJDnFk7q2cNEi`<+;CeB=|NwTSvZf zkSP_o%`IyppTk&T9@puo=lB_Ht3gDlbseH<|k`{eIm3 z+Vgu#|Ih%Qc(*BY)W>*k9pem7abfD($yEh%Y|-KWOj!?mlc-3#@344ycCk8M!JpHz zqbX21-97Vp>@xeq_SHC;@T!%dDfjMS`~zdn|uR}ewrOJFmoScY485Bu+g z?nN>ts1tNd}Ttcm?(xdm8^i-B9qwAttu^26!XMHP|oyj?YU9rYt zU}ZpRcId&aC*qz!q$)9; zU4DwXnBvQ;xgwvCgM%z;SDD35S?Ol?eyY^64=vPG0;PGY*QQorA~*eI*-9C?b1;^G z+rR*3s0x{4M=A93ct3Jgq=L%nVpZ+rsXAWmd$Ger!k~5>h2BMCD$njZ(url~C{@ly zyl7RN6sP!LVpzq@drDP%nqk=fW*r@)x5^D{KDBe6v{CD1>}zi|up&q#AN^)Q{pSWu zBqjKsD38)!_nSSe*&~O(1ifGMqIaijBvwUWBFSL4vc&cdGNBI0#Y)ZX#ko}OkG)Sa zUAGs-YYvj1;aNHGRH?b#y+D2-o)egq|2#_mD)STYB_$=(Kff$zIEFj}-rh__C=7nP zk!+shnW&_cJkk@|k+>jzi*&Tbb&7pg!`U!9E5BxQbetDnErm&1-SYSAEcr=0KQHo< zbFLA0&A_Sr(cR?ht*FC8MK(VP&MnL!fg}|FZm`lp)m=E=90S% z4SJ&879SKLMGT9a-F{9(_N+Y2TDhPfS<-u>wJ`-9JZd;*d z>Qij^TM@A3muo#EZiT{~i5Ri7(I&snKL<14v-`5~)2qpHpq^o#LK1kkl5p6NoVHjX zxEyMA)3r~38Xvrpe*d9F()jYiv(bo)`m+@Eua5w8=-0^Fhc0i6UQ)k7?4JFRet1DG zZjjh<`=V+p&{`_<CG!xe`s_on{Td>eY+R9a%@7>$j9o$R)c~TaV!m>vC2HEh`GdaF2kpQ0pft~wO^zNKZwJzsgt`FzH? z^C5&$g9jKh$HB6C}Wel`O?}0@4{PP29H*vy3Xn= zI@hdU@U5tB+)!obL?soHyoo;QS|L9!_Je` z?GKz$a*ndPSG!O72~d90ei|WZN`Ku>)B3~=UbCPE*o%LR3x}JICtke{w3C$7omLV` z&2kXT@(6>*FcIQmUss=#*6MwWWS@ILH9A)Ku)v>&V(4dAr!XU-9z-(3yDQl1qW*D4 zBc(a-ijmv9Z^2_m@Rwo125oONYd(C@W%{7a&-eA9Ny|{JjAP++8aT_4s;SM@`ffI( zt`6*u?iZW){UAfVZ`Do9XbOX@dsTf+NqneC)L$?D)ogdry~}H1?y7gkz71V!NTWc# zD0g8InFB)9>f;&~SXxSlVZnT-a(inSm#SJqL94YLmA|Sz$L;GPi3T|K80NhP3Bftg z_nY5icyC?xSW0rG{CGjDI+ad?vs|HOoo8(KL{e8<2t>P1sE**4^zV!4P8K`?{o2Dx z-n^Rmv@vrWxJcYH)I_Iac3c;l88!}Z0mJcR!P>Y*Ij;$gz^xX%5TX2U{U+uOM?R@%ZzN7CnF3&KN`-0 z@NoED1>(y?@Eu~-YBRK;Q8$> zC9hp+$5IoRpjm*FWHjZ1$ek@99=G_}2T@@w{ZM`%0&@u~Hsxwjf`q{}Y(MK__NN?s zbX;9raAiz6gs4TU@l0ah18c;?g8F31Zn0V_Y&!Fa;+McE<0IFwUPde#{;UTbbUPNx zr(brM=O_1c$37Ud8!c=bcsNXUKIU2FgvBB6LjbFgKJ|q`!yHMBN$8x2C3q&vartE;EX-v820EYr$+YO@D#OGb8)D3#$M*8(+j!ts*zGR(lkxWT z*q2MH+p<8wG%i(g9 z2cWp@+WrgDLx94{rUxH`c1{}9EoS(MU!A?#Jafk%Jd#tviKgcXx{#GP-Ar6P&=8(G z@7&aH^Sr@V%ipy|G4xz>2V5Ky20L)}yLqoLsc(muL5a1qEfy?9n}zZS9y5>a-=|Nh zKXvevN!@*bIHRh_UIWu*$s)6Td^cuGTrA%XY6`LSusO*eB=QRo5!GP9ezNd*fA^O- zp18I8*GIY%_vzMmLma#wD!o>K!eqEXpb}q|MNZk<(?9;$p0O9rwO4sBiC^Fmjp&S{ z$aO*eO)u7bIHulU)b03BLxJ&BL4Bf;3xyLgDHtk}*a6b>ggOF_X9?a16r(?jI=?c; zg?GH;9E>-RBAvQdXs1V|Qy!biWbqqAv`9y)$tWksUlCpA^ukSf+&P@NL}><}>rtzq z^EV&&NpbRn^T#5aP5gDTaZMt2kIGQDK4hVh?fOd7LIAgv!nX0Ufha3K;uu$>-4*iwjcIU?_)7o?PgW&v~;o&wVwCdWkI`Y0jkXCGOtO)Pg+Nk8i>So#V| zM6j-2h|!8i#4YZdnF*Q2@icR6H3T3mN5v3i#9zCe@%bUCK>3sosDG}~y)(yDX6~bh z@iOt8JV)^+TR$+vv#AiVt83DL1UwZjwT^TGAmf-H;1h~o6@`vKkX(NYv{fytXi2wOmn+B5Uaf3sOwiD~B8af|8uwL5_u`%CJX zvG4fU*W26zx!kSU&@^J#ceOLNy`=HwZl<5oF?t$=H0I&4^ZLBwiPLH9UuTg;8Z1g2 zymu2uI>|Ov%1j2oEL~>$CrrRf-FJq_nyft(!N*4LY!g3q+vCh43e-h9PSz4nD@fxJ zCkt55pA zojAbhWtMa)TPWZ%m|$RPazgUcgMb>N))u*8X|@{vteg;>Co-roQkmJ;6vG@+cI^D|Df)+_A10hhRP!S#euw zCEcyR`P}L3gv(*JS<>9Zi9C3{4jnE-m>u@S^3n6{-vKr5 zCK*tw+0hm+enu9?->sy97lQ!{caH}@2Cdv5U)lftdw+}W!G7*>^n2eJ$g#N{Uh)3b#<1&ssP$8@nx>r=HcMpBe@L+oN`@-2MxcTFmVs# zws;=ee-4w`c2v$=uC7v$uEwdf{9CMIesj_-?k2v|hBwWY*o6?t$i1Qr#qLrEvl8kK z>UP@88O!FTw0<;t1k&+Y`T6Lc%oMw?El%83+urq1YLrXv92r@QSLtecLF-+;c~{3u(|T-ox?jgKkqO8eftEC zZ#5|>DE>M@r))am>V3$b#DjwJyx&P18w|BVZ!dSTb556o#thdo z>Px>;E+`=K3|hj{8>yMVjP9-nONRPe^(_TsQPYT>a=X^~FTcjzU%OvvsncQX%$gv?2S= zS>>&IESZygT7|_Sc{Uz2diD6&b?dRhm%id0S5Yw~_HTo74m02P$+v1Mo2^B@w7ZAY z9%L?yHa;OxbDE+ms@Eg_6?e7%rQ+6QfJf41tK@0v`_^)g(E;eBamK_<_S#eE!S}n+ z4+861BNN}xyq7O(=#~~9EZ>ySO=_<3UanGI`t4h{N*h>drSaNvZ0(-P{Au0ck|CO} z^=%Ni-98dfbJ0KWM*mwTd!qCvx?LjK8*hvbP{Hqs8WS8o4?CXWZ+3}to4kx}7Pe3Q z^oc`tnu@FCny)W=Sh=5+oAp@}dcLwDz-IJXaJ7}SBMq!nCA+za17oLfN zXTn24X3P)gcDzvO&p?=_3l!MKK8<*HOrP?Um^>eEH%QhxN{L1 zGojvbL;eVtWF}o$p~D>NW^L#;JYREc!^YiuW(ttY_cP`7H z1f4gR6c)Nviw5eIQN;blD)HL+qXmGVI@JH!s8W#rTN5+EE{oQiqUUQ3V$>-q3}JO z*Oo|a61MqTEL38K$9PKqq*OW^dvX47Kz58P`|-CUQc3QfzGdkbGnud5W_~(-l>CK~ zOAJfPMuxEHkdG%? z(?z{&dUEmJM@vmIc_1;W>R}J1&(@EUx}lb`k#7urdAgj%+uNr%pJe0|a@nhHHc@yT z1-LnUh(5Y(=SRwau$6vQP%fK(v+>X5`o2^Qhe^uO`+ zy_{{ofcG`(US+G<62P~Z!}7d`G=2?+?utJ@%L;o@>7EkDcf|4sjTJ9&Zw6|1w{0LH zy9k$UYl7Fne06K@6gk?J+5)CCDfxE2Clj4&VX+d~n~D3wc7mLB60&A|uL_hM8Rr@K z1rD{>^ZnEJ`d;cV-5w_>w)c87j{Bm1{F`B#inxiMMd3T1-`{JW;sk*WG9&qe1zcnk zw;K>_G}L1EAvXwFC4O?|@pA)K2<<)?uy5hPW$l)!y}`X)42sf9_f2ajYyR3_E-?9~ z5TFkVPKFJo5IcvOi1dBp`dOQesVYV7zbpV5Y^dnqr28I`eHKIO>`94rstjRVRDl4Z z2P1bOJl^fYFn%;j^lA3ly|BW5}(B zEeh|gctS^VD_7UI9^yKsx)><31RPDRoTohTS>)n5Dn)V^@GCWRPsEG~Q3hpj$15rx z|ER-Qo;yG3-lAtmYC?4=Bb|!_VjpCtkW39H9g~lyx#`>JNWk8htUjPhHT|_Vy(eH*L+>&d3dE@8>D-)#D6Ib+<4d6tCQ6^(!fyYBVcoWtG-+yPBvv(ll-wAS5k@2BNo9`$5*q|>N}f8BgAUHHzm z;RW_}w1|gFI1xOQJ{O0#Mm#LzjOPN09xfG~8zoAHM$J8A@BmC13>APp!nI1u2jT$K zKPCgW(Qn0EE2g!U9kfZ%M)%2Yqf9&Mwwgo6RqSa1LqSZWvEEPM{}*?Q(u0a}%EpF% z(B>xEy;jvtNB6BQOwT4PfM3qBL|7-DcxXiu;4*MR4;7Ht$rH6T35#w zaP3iFdBlyn4$(Yff zgW2XELr+1mD8=cw+(#iTKIrNTP#Fo4UHmN5K;M~2NOni!Jq_80j-53`{CM;J;j5|5 z4f<>B#GC+(yTymQ`7&roxPJ98bug9ufLjE?S+P-}={S*NnNP0ag%&Vy(=pOTpA+K& z!~@EEP!lSZeR5;#!auFRzql4XJP(&+;R8fCz=aCbL{{X4*aBhs#q=dat7ES-bzWZ# z3MAWP_vTBbT-W1!Nvz+^qKUOV^UBWN4+ z^m>DjN|sV4ocOx+xI`(yH7j78_?(xJi(c}p_?Y9lUPF>2F2}cO!p*gY+h_ciJpvoj zEhZu9mrM2!Tfl}uE!WW1w_4zu0GdfR^4rsWDvREq6ehq*Nt_D?2|OHV=k$C3V>>)h zej+1!d5s{}v5!lh!rvKVSlmC$`XzP&kgOVpN!p)vvG?LzqdmhGtv^mm8z1*p zXO!$91!bmx$7+}-?)mob)Td!qxa@9**8MhYpaF)aqAZzzIUh*1rKSYRqJT;Up&Vn8 z$w_(x@CAV?e?pnE-WI@U^(R{hOVY<&%1(yV+oNjW713Qlz5zo#csuPQzH zM!)s`$o^flPlAS}DoFEddF<3xK>XkNL^_iC&}c4q1y6M@JQ!OfxuZR@*SzOTvd`(q zzU)`QfnYDYBRb-|t0wG*O5btV-LcX*!*qSe=w&A=M=YL_bRW_~&*OgRkaab~M1Hmk zdaL`cedZLOKciQgzS{oEi6hma704`Z&0c`+$4rF^nymaIQ-PsH2Z(?bh2+(*~?L!IwYpfk} zP#r09PK)i3_T9aek#P5}jS-39y@8b>NB^kG<>EzhtRj(rQEW7`BVky%zGC@aTB&Yn z*dr*P^E>g98~m??u_#-mJ(JWSnsEI(TiDE`BdMjc7djcDL^+rUfk>G#d(THP`JBgO zUI?C@ne$VCcyNYp_mZ5eejw36w3 z_CoqxjDOdv+S|9>wm=eZ6XgZMMPwI?7L2zMCY%fJ=749Omj_)@>eAA)Ub- zEQep+dfvdH4ljVVLtBJu{w}5*VE!ata>X8f^{q$8XRQh@H%j>+VSC9kH@ zBHQ29ch?LWte$+_{`=YnBJuu-0Np$jW*2UfDpzE_Thv*tq6v9%;w!L#Kje{2U;X#O zt;Y_><{Q_t*MZ0>%fFW=Z6KWC2NfXf?|0)fnsT7zro-bC^n3M-CP634R0Jh6k{gXZ zwKnLcWurK-z9gDGjt9ZY7$04}20nm&gs6_!(UJ8=yny=Zp8eWFyS2H0)`4J-DwyOZ z$4{ZWdm}Db3aYcVchmCTDnphQ096l`9U#czaXT+D5OVSKbwxH`;`TF}G_cprhIXnr zgaZ*y&5EKeBOx&aB)#2&+w(7N)zxu-XTOXvy$Ntm-QrXAv+z&2IQG1j-D46oP!pgIZK>+0dGA?lpC8`h z`7;otDP5l<^@+7!0V1)Y!$>>Nh&mzCV95!Kr9idf9QTgk+5uevYf^9q>d#>}8+o&j z#OD;9TcAPTZ(6KjaJm3`?UzxdD5#Rk;%nh5GEr`M?#CQt&et%QamEK0cm6U=rLzI$5Sy}Bp^&>G$c?ifStErdf!;h=3q{TnT=PDqDAq8aTq3w5`rzGiY7HW0{PN|aJ z=!*p{w3C_=D>&;N%;XN`m6nsWBlWS?XJ5@F2R}0|>OhVIr0}kka?&&~`!7KNZr0ZP zHt&or@Se_G%!UPmrt7>8XWe|~)Iya^%paQmcsD@a-~pkP-nRJ=noVK*#yH<#$U`IU z8R+iwZhsr)yG9fgE)-1}0#Y)6<&|ifCn45MZWzwUhg2CAsFPRAuxh6lweIOPH7>*q zI*?0lO#%eMg^t|-=XNGv#16b0w-q|dsCs}F1u8uE$%U#YAXO{NrB@}J=sKPk$R!>i zc$_c%In{?)*&xprD7=@WVnPozk&{W>_o#ul6u(qO~-4D934+q z3?Cs^B5j||?V9nnfBs9u(y$S|XZb1o?d}cOc`DFcT`E7{R_vgMh8?wIcJ)P7zpNKX zgx+My6FO=Wv=dPax^y@Qa^kr(=3zGZ%`c8`#giC|yFhXuIPMM2B|&&KE^6Pn6rC^_SfXZ5PPFH;i^GTo%SZ_&^p6;sfn0vampPt3`J zwdr-kccFav)_Jn&1^isODks!u`~)^DIFw&)eiGjFn6LrY7{#m>z?g@HQl4+oDo32} zh!U(Kvgs8Oe3dw{EQwN{iAX${ z(b>G}8@7d)xveJyoq3yL0Ap*|aY%cNaJJX;_yAjrdUrm6q3MG??C z9l^}Blcm?ii;9xzM#3%tV<3ulb-$ugwPPBl2V2iWFkGYJ^8(7Dj_At`g{p_FT;yT( z683)@_z2`b<=Gm0X8{_uJlT}q0uM#&7q~$q0Arq=3=$uYx>Ib(I z6~zki#xE$O_RA1#o_k{G-K%EaD1IRzYrJW~joYiH)ljLO}ZC>_OMfiyjCw(L|mCf&j%b#|sB+*i z#()-_v!jN!22Pv*NZYX_r8qv039LL@e4(71oW(n&`1C7piOF98O9LaJ+vuFABLNzi zwo4qCaaf+hZk3m%Ri;(-is>S6j8Q`in5+^yuAuWPYFr0}S=PStt1njOThty@r*#`e zkBP29>W3+jZbGmqP|Q|ehm&9@sLTicJ5TLSY?%*m1cmPtE&He6cg~v4-6L zBckqYP@NY%l)|DHWiX@+eEt^=mBB*@FN4b(f2d1fs{6hpJUZRw=J<<_m;mv7`25PR zS3rS>E(Wf1+qaL@$+Ah5Adi@V>X<#2){zCpiZ1-GMdRtB>6%iVPP>S>Km?76$|Ys$ z)xwm>ZvNH`^Ma8$;4{#@IiM6poGU`EfNVMA3S-F-Ud@gID2O~VJm`K>vf!jg#<{JR z=_mf$D|zN!O+)*mz&xO=PdSdjj|+N~-q?Ea>bzeEF z-|kD3{z)R#TsBx)jkif~G?6 z><9l!2tLH!NlHBIjk=SFEX6IfEL^(erX4SHO;sYKlM3r_cE3c-SqJMS!F*87?s_?*>ybkh-x+RVVlN zr`rsZE{5Ba8Q%lPDVBy?LA`0nogJ@}hFCe%S$!zMHd1T*Er#YKpzB-kkv2{4$X&m z#6;w$rycyI7a>e`aSpw;=;&&%6EHo{20i&YgjQN8C=rdWTzpcA9?SSITpxfxz@qmQEkc`F(ej5Dq!6H2nk9+nwi6gIy90-u3>Jp`3u520JO^TQ0Q%9HZ_8*( zf+D&KeCb?r5eyXT6RgQ$tJ5E>*{v!vUbw4?u~#_fC(*qzsCq|&svriBx9~C&_K&5+ zPyS)NieZCyQ@_gJQFv{nuqFhlx;aem`7?kDZJ=E;MaqmCaL9K$aSEVKXRI*pb{pwz zJ@Gu+CTAM7(SD>Nhok6!+!?+7+Tg`xg6R_f7-3v=3+D7_`AS6m?KYVOlugcfQLOkO zBcqqEBH1*FofAOXAxSAfbK@~oJ8pYTCVY%|EPg*3U)~c zM$kXDra{QBd33nNADtb+(hBoV_A0Ik4W)xxx4+ zXErN{R;RV_cVM8VnpO0emB}QBO7^Gvk3Q)pEK&3ixfx$hH>;Fq|4iM(>a3_EADB{C zG2J$Y{=A>uET*irDnIR?F#MNn&_BzD2qqHNA(<-~JdFJF#4oXMNqq+n83v;)}*`*)AE!^SfYcc?xyIsJDP z+$|I0o8~{CYwe8Q`F=poB$B^burn#u!|FLnYz;QyhXjU>I>d_6W!g|L|G}n}&p}H# zo-nua-VYC->RX?fi)n3OjLFju>+F270cL*@DqFk?b&xa)V2Ho}O=#6qdMtmK zr7d>Doo~_bSg=L)t>>%37_=5GhT2O^6*5NbbF$u76R?f%?=#W-LaGk1(Ljqt(xkX~ z$4UP=09pIaD6z`!Vk}e^me#pz0tZX<)EcYI8e0viOo#SEE8DgZ_8K>$Y@fkTAnNNs zJFpRlkt0prPw$|M5vk@w2Eg-K>n{U|Xzb4jis&N4l%-5@DfzEf*`>6z4%FYt72B;1fAObuLp1jgOizf1K**N^<@qejr?&ZkpXNN6?bNQv8-|$PJ-@K+i^U{Cs{By>Ly{_* ze4s=jAPGOYbfj$|A=7_;!mS}&lf?1g{;Y@?${f}(f_zSYypRK3a^n)mA*{CFjs7Wg zTqYV)y0x$rc|xplmOQDF-mG+XLM3+#PD_2Mc*5!a? z90}=^GnAFD(7hzk>v*m%Z6fdw#>rY0S_?1~4*=cxoH7Fh3LzJ3PQt(O?rYAazvaapd({D_Mb zE2Ni7COQmEFn{x^SbDM4JH5 zD?7YnFD)Ay_rKwjpadAIUUaShV=#9Hka9m1kd}XLE4(-M>=vu`%h89wED+S8QHOL^ zeBW_A!JL1X+B<=_#&rWMWfFvz4o$El{&71k8~5$4X+EOmhCE_{#{`h7=X(lk7lMnN zCE-4wCeuM$lZ~k@0c-_^tFU6%{*!7gO2Nb76WUq{EqK(r}9%)c@|Dt0s085_-9`a0}vyx$bIV~jv0zCs6d^A3oN>TFRN8PHn7%^6{ z6maV91ZGP#o12CN;`RsdZiO83fjO!nwb&Z}R}83+Fdw@ES=sQCTiYGt#q=HBzQvUI zl;D9VaPq=ABr@T9>2q&@^|E(Sjf6YfX}BY8D=vBtL}V8_1`>e%VWZ_f0?s@df#k6$ z5+YtsRr&(lf(n*~3U0PzVaz#sMWK>^n+RQJ|MTS2Xe`p@%AgXX&_L@Z?My{3y%IAD z4#!mxvaQGb{^amETxrqbArW95H496_p$bR_LWxGr*>B}HcyYca-h`#)1UH*2GkVcD z`HE*dA*^k(E@63B=+?(#K4(58Znl@cIw%^GvNQy0E{~{IKl0d2!}E@&tsz!YH-`Wi*TKyrV$_Ta`ojm}YY%Ut+0mUY@e%O=_VZT`nck0*$RqB#&S0P`AqH zQ4bV&1Ua60)}LmAIqe=IBa_S6&IlXsQiq!`d0_RcN0fuJwz7^4g937{tI3 zDMSBX08*J^N(~BmE|99iGOflv<&H!nAC~!uTfmvRZ-^%+1V2E##?|LiJ}Uk@mrwYa zUO2}*z$-~d6V|3*oKA$!F`Nqq4>XabOrU7afEO%>q9?p|kbz&uY?5(8PeRf-{+Z<| z)M)0x1<_8nsT%$)(_w8#09yy7MODQTfXUMW@a$S7DpZAPK7NoTSSQ*Q`cRUtTe zQWAA81138h_q6_l0ANe96A6c=ogZ-9@WawVf=lL`6l|V_vpM7wCG7LCMk9bjIjA6G zba0M1aEH4$(q5V#8B>WXe?>zm*IR&2_{q6poR?@H3Bt3%gsmbGtTIDC7-WWgK!N8u zDiaR?F=wXaZvLhm)C>YrKNTKa0Tk3+4jGabFu3B8KwUF0h2J?;_w8j7321TC<2J@m zE?YEy5@dZ%;7oy5)Db0>hC)3ULCh!`?zWMMddg=BdO$oW!6m-xj9EKTHAopPDO&ODrqm{i0&gV=r}ZI&*267#*r84H4+N7I6$Z0^Er zpdmQIpH!k4n-eQqJF(UkK~CRsA3CQiPQTl&r}{L0Uu6j|dcQY|*6<~AXY>(gu;ybw ztTR2sezy!I2;iXBGE0N*RhvZ;pv@y(ygmVR$U?%s6*d{uBQ#}HdiP|{cCi7THsQWu zD(SB3>S0Z7!gGHqn3eC^kDO3-2eD!^0b%720I2zXl%+4Ldn|b+1K{DHPw7;V_r{y; z4#x<_X7h+9$3@Rz5(SWmX#UGc`?qW;UaI026#M7Pk-^!vpzn><@Zs;Uc5l* z??s__Y6gRJX5qoinZu5HfOABUWAmnvi%=?po|*>L(S>1OhxYF})?CvDeE=A$6$)DT zFcKM17QjW>rALKsE0Olo`|jNVH!uZzqlK#|DUCG;d*t1tb>yx#q}BDnf>Rm6rdwXp zZQA>eL7__#VF!^>bosMzU^sa(%`1eqi!g?wI3$Rdin@!HK{D|HK7fAgkb?T#KMm{6 zwWSN^ScG9w-ok^c*5P0}7ep>8u{sl2ucA9E@lcR=>{MR0^-Hx-7y{cdA50uad*-~` zjzCM@&RGlksZ(~yrKbs|=$Ye6VtO{vKcOkn_Y7bzE-lhU+R~HrOtu7&mmlaeTT53X``L8D#+}QVEyydB6)=qIIBl1y8u*Y9@Dk~o z|NeqwF*C{Bs=YO(Z{;eDk4~gqFuv_xY10m9AV&$^3&A~AVUkr zl%Cb@XRb5)f@d%x4;6oaXe87BDG%lvBJ7{BL0~7@V!TrR36kMBPf%1`p1^t}J#o?#ofLdB zt%dC*0J}DHMW!ktenm9#vp+drfszT5r%$X0q9ve6qH75X*>%NQ;9Xu)O`Y*Z;GrWU zOy44f{E8U;UOGAa-zS)Om2ln&ges)52>$dNExbAh@m z*L3D1_zZOBBES_3VKamQMd9mdo1;6yY63X9>S-XU+Yd&@!C3V8o8;B zOUX5QnsLG(+X)T!&$c+GNZl;wL*J4H0#7xaq8AOO6eQc=ew}SiAQYQ10-S#xG)U}P z*Vn?}Y{Y>Oj<_}!^U#$KHU)LHXkIV_ww)dp^hR;KMeM$}BinR7FtU{R2d&V8>7;jr z;88f&GEk%rrc;ZBG{h2(TWP_}2aK*>**--1E>Fm#0{fgu{AkHO>*{nxf%v5K$TTJ; z0Wj$4&q?=w@DUpfk3EH$la!eFfN5~3F-}53=C|VkMGFJhzz};cVV&HEN3k^nTCd zQ@caYg9rQDf`epH9^iiq{dTb+0}Dso8bxytP?vg(-p4b7qgWkNk1bVz(TQOhPbYz^ z0f1LH@HFmEVYvZKG!r|~rw`IB0R&7gPT+cX^sysRVZs}qaIh~nBDJ-F^J@rPmvVc9 zw=`x*uzD_Tp8MIBVQfqwK^`U!yS5i6K}r7*nz{l(;E6-9mLqnWhwG~F_~&^-ShbB| zST&-r=Nec*DBdAKxjni%Pg1Ul%&-7V<3snv7_7c{0N6tG43`Gc8tpNtf452Zozoo(S zcqDY{)C4RK;SpP4>|4wA?ZaCQ#!n+3=KBWS%S(7bvVZS%CDGJ|J$6TGpvOEX3-&)G zXt=5^c)|s`j<9i~67nJpoWL@!1QQ_>9FZt@WkDSio+2<83V~^PVgc_4xqHO;MAOl> z{c-8zmEXF$Tm#-A#$FmVnq1C~2>#CgEKeB&73oJ0V%};JFp!u9BLU|NFvT{`*BN~U zEV%R%Ic7D{=p#Q!Wt-R@{bC&S4J~CMCJ1Rv>cEEpzcclHfd3f<68Vxj`8#EEWVm#B zxHzBJ!j7G{N06Z;cyceUBb^Sqz$UEYnLSjG8#?D{wO%j^0x+ryX}-uIFx7=JA@EGb zXk{Z4AI9xu!({s+r#4a=ARovW# z%agEdZE`jms^_+G7VB1Z?%%nm}W2^ciat9dIns(I{57yibxu8Oo1-6m~5V!2XG0 zFGu{G5by$Oga>eqwXrXLmxO`nX$SP}l1Vy}Y0HM)$EQnx(0Vd&RT{%El=hRm;I67X zEv1tW%y5CnX=fSV_cBpv?~!4s110(tL1H5|AAVbXG=OeOV6%@q?ziZbz=sY*&)o}o zQLh|;TUlo^B*+$mbDNiXLV{_CSx8h|_*BVt;LPsh=cRFVf3;=CaQ@}tE$oe0=B z6mbJp3sQ~{kQ_Lk6E<|@1&AdYGi*r5EcF&lq-&=-H%7FASQt2lbIQjYML9A7+=G;N zSg|q?C^%R^P=yBbVSLdsc~T=#>IsNgdI@Q7ymm%6fOjtd08BY=uc~YtJSjX}4XId%bWVR-F`Nvy4Q{dwM{$=;JlLJPb0)FQeQQ*!Nr zfx?U*jKz)PlvIJCR*^s}DrMRLO4_L6wE1>oQ>$8wfCfvHBR9os)~69RvM@F?D@^GobA}Uh0$HSywAqPe8*V$5 zYRy|kfh?^;nVJ;S6@z^IX{$gqagF6-W zOJ@B(J_^F=U})|qZFVcmL-_(v(^nvH(+)h(L`vD@gsGiKKE}+UM=X{C2&_an&HuzR z&@7|6Wib|cW3&{wNuEB19d&tAjT7Kv8JHj>a|;Ck{vg5IGbpDkS1xQ+Q!KO53 zLODgHB$a1luzQ?TpC)f8q*oW{C$hNh*_?N}?Ae%Ww1ciTFl(^a9?Ef|oHdzsN~-hl zz6C%8o9RHZaXrgC=2hvNwbY<1T>IlikB;llpnA-_QA>l9J>~$!BenuKcH!iJ&4`nu zOr{K<{x6+&Mdfr`0{HM`^q`jZyW)EF8{L1gTiTd zwrid`5CxCwg6;PMhRfSq2(q>A7+kslH?P}d0IBi4EoO3z(m5 z$O~ZsxIsGIkwWH&rK{*4azjU-gN|VlJ;F*4)MxY7rMYD997lGt;ElYHtIYAhSSyF# zrYQaJAp1n(b8n+n*r!=!ELvzvW9AR3L6l{sF17Hm)kij2q#wlRf5gxPn^>Y$PGZU% zViXj~?vdSes9j2V63NLTSmu-0yu}4ERo1XY!H^Itd!D*Cy@608@}^JOlyc>?VIWx~ z&u}DxwEZUSk7cyGk$KWKz_!)(RD4r=3?+>s+aG-6)W5tS=SUN08}yiz&3KApQO=WQ z&+{HSBHM-Tk#w0it-$Loh39L@O#$qjxISrG0Yx^PTWPuF2DpvFv1!_Ph15}UXpr9^ z1~+>mz3gc()RjwlI|a%a@1?D@N~_RjG&l>Gj7UGBa?{xHdV8{;^bE;-zBDJC;Xt?jtck+CpUgAt)iKk z2P3ONT~awM{bt0qkQ7lZOY+$9fpyKT<0)p(4nx-@yAoFVQXGQH8n;NxY{wg6;QJLlAFtvDyK9CM-1(WU zMX1x-30jejB>Jk+*;UqD#2|2P5hpGP0kg_tao1z9jU~r}54(yH_V7xEtXg+iq43(b znvs0CwHLs@q*8re`}7Ot3e9U#f3Nv^zy2_rM?JSp8zxxS`-ZJqbB`3+d^5I&g|)Zr zMmILt@uI&PTTYP13FFJbKi5{Dl`(0N`Z5qk^AmiRwmt)Ie*0Flil7Pu ziM`aVrS#0Zu~81DaV57Ae@OfpaF3=ZDYpYgy3)!^aqzR#H(Y5v+s zV=3nMMDS?vUyn@9$fUjFDC`oE5ja9z#D5vh`JTXvnHqBK!SX`&!Ht45Y*ha zxiQN1s+}7AG5rGQhh@u`N7oaa`%!q`_pQ9XE0)tpM%`)XHnTG|CUg$|YD(W;yF+xr z?DC-EqhwOKqa)-t&6= zo|47XcBNi-xMZ|QNrrQ|=2t&6EOi819E-$<;!gzZPIZb_l(f-$4s59*Y>tA+=H9`6 zrkcV-N2mk@uX)-yT|onx5%oU#iN4XUtSdMQbVR0V6M5$ngxaZC1Wq6P!F)PYbCz>C zeb(Wv5&w?@*NZ7oa}Y(O!YgkLu`<_GgRCG|C#l&q0H7yb`qTSc3QBrJLJ^Mi)q|Im zusXJslx_)imgLi_P7om@!iX%u zpMZF#b>0OLOkIlc`DcCLZ0P#lQDCL4WjAKci~6_tD<8#AC@D$SzUinT*&kF);((OLNmY=Ly)qcb z8R06fH~`18VY9ru*Q;#P7lZV}#rFFACQ1&d4)c55uc zHvWmCE_+{)*H~(I(4;8sZ3o5s-%fQySK=v(j6pb@v|g7HWkFto9Rz_Qr1;3;X~g3; zmTilyLJsgs_45Vh42m5ol^)&+N-g7TsAV9?tG_HO>d@DXb4;$G@1yol{9fgl4E*X3 zyjuoD*sfW`+_SHO`!=7h$G=sqkmBa#y_KMi1SMD0kF67(8T#`pr#}n_5Y@c0Sa$b; z=lMs~)zizeGI#rz2vEO}FufS9@dXq6+Noa_ z2&N)a6ePqS(-FwaqlPpm-`Kmz_)|7*cEqSjyx>}`-h*5@NHM-X=hf3%V_7D>v0BVn zV>v^MDHF=(-9Lq`!?dM%su;%g_whDvT{npa{rxB_PVquwM=Phv}TQ zhF%16tHu82lygs{o(=qVMiUmdq~J1RK-SEsmq00tvgl7QfEgdee4C=Q+Z8xN$wyW~%EMEJWDm;; zm5KyvA1&o#_Ik`O?!DbT1v68e4x#$upmRL$x-HUj9~Yfb>{ zEu*AkuHfNu^P1DCeDO232E}}6ZdT@fe(+HIi@D%P%RkeSa?OXhuZ#zIpACOz8g`SZ z^|f&sVwf0@e_Vy8%Zazc@SM6sy2ly}Tc-eNV zLAdj~;l+zxc#R-NBw$z5hVACFcDFFsV`mr@RYl7Ft-%9S7~b3JPo~f0_1$K@s=C=A zi0BglY3-%D9alkh=IWzpAZRl(P{$DYQR!9nS<}c$96w6sM)_s&H zr}cyv5mS~;o=lO*J)(bELcbj$&d_~tbwnIWi42j}8bBg{P5`!+J`u$1)4mk7$ucB5NgI~H|GZZE9GkBFs()q4itL|Yt>@>?f{R{o1T(D69HIIAWe z?WhrKnmy??@{*hpC<^q~Ddx_k1`Y1cyyo7zgH zZ6r}C=C`1|=-|IP0Z4M;q0gxFTNV5fbpi%}*+0_am9D*E%wDMf{2H4a{ydpjT(<69 zv}>6g=^RAsMe)}desbHSmj!IQ&M?f^!F!Z7i-gw}Mu%tx(Kd!p#9 z$@D;N0u4mO9C1;Om8F9v?18Sop*Ovew5*8smDi8Di9qT7Cdp8`h;%YFKmIsoFKFRB+uUbYGNIZZ2@@98NM%U~XYBBDwOt6Sc42HoX zPYZNbnmBqi{nLo}u${QTNw^c<*KS?A7e;gqT*aKwrPdn;r6MmO7j|X$x~v)DB}m!b ziAvp?H}(0CT&Mkc_Ne`&yMk-qZokrlpju)?319R~Sa~jzz&S2rBYmf)F;fFubih%m zlmhp44bddw9?j&ldnO-l&p>wSIsA_oT}CF}n(L)c?e6vlO75Jui94G^i<{;^=$rE{!x^hE}*kj=4C>wnewxK!B~Vyf<5=qzT3XVH z%G@itlihf2`Vx8Nuy`SmG^@7?@uLu+%mk1uavyyd&tmbZ=?x12Tj8F!Mu2QSlg-5k zVqYJTkI_sg-zxfftof}!$ep8GzeS`8OC$X^f!Pti{HZ^|Hs8FSEsyHMY|9XFr!<8| zUEMil(KyCH=Y$tsY(IQ#!HAR6$j3_rM2jzs+{`8L0;ZkWU1oGBMcy7Ke66sH(~fh7 z(W6_fGX_6DM>D%(kAwdNun;5Xqnbs8tdoUmxk;&P}4C@y)*@u>6- zZr>9KaMX(tURj}-5xB?<9JbG}Nhj^lpF@m+!h_rGt&BwFq)g0sudp7yMbl z=?bU~Jliz&5%ea_FNzGyH!aHxSG^F+e9_`hc;lc>{LDe&%YtpR(&*s*6v~^NZv!GS{fu_?8r5a5 zwG*S;vx!BO+BKYi#Z&rG?4K!}69B z&M^qJ@-*6_C@+U4ForXbcbhvfX>If|FJuA*y=P`m5>-0&6KF~o^HlmhKinA-ACJ0Q z_)eg7Z$76h&?3QG9`>)JQH!E!ccmTDIMJ*dtc5dx$q!0R+J_^Y7=G7H-&*g#QH1Dp zh9g$mO%!ZkZu@*bWZXniB4gXgoC)6L8wEP~5>w7F^GIWklE*lzZr9Keyz6%z?1^^( z4I)}XOru3RFsy%U5x5jDp6tu_O80%It<7}yu&m7B49OGo_%hrQ_NB;t`u9PpYkj}t zl4G1;xSKvBCY@%=>iCp>avPiJF>x8g6Zz5k)WN~<#Ex6&u`gAgJ6Nv=ftqN1ge zR0H!Hu|?E;E3+AwDaTW-3d#_x7td-r!)1C5-#HF+H{XA2+J4K%ndAxc<2YAwJC*l4 z_M&0}9^&DN#;#)J(@u6@U}gV`VEyqDS|1Ne{6GoO9vp{OjE=`IR>@Hc3DX;*e0=$g zzyrane(ChzQsuO*TELqorcF+BmVoE1p|E-_fofi+hyq&qy@#a2wtqB*EVpnEP%qMw zhg^&OG&~`HyWbJ@8B54cufOc8q;jF|$LQfaA?jjJY=(HC=|P71dK<1r(({Lf*-}#~ z%2>8D3B(5Nz2U6zNSu^7I7U1qfJj<-9O z?n27v#msBv&p7!Q<{u|}#kT1&6QyGpxs-4cjTGE%fg4uiU!KCkSZ!UF)tA(<@OY-w z{Tf;Bwrny4jxG32S1|+W+?E)FpZy`7gW|lOTaDM8aLFpZ0V79{M!hee#)st63g4zJ?A=sQHWUvXUn!cXooBP zjoaKHg=FSMpwBb=SbstKSPB$PYMu1!vhY=4mJ3R0Rf8b}6R)epAC!Kw3NnomLhG1C zVxwDKNSbJ=9VzX9b82$mYD=DOwjcX-5P04`OeiZiBlMp~UVixqt})OXHz1Tqxde!B zehQVYlW3wI>ETJ_`!@8k_rSu?G*q@iW}P$AJfCFUMVc8Y6s}Jwr#n$A><#^}E%X6M zlo5`f8GIDzW)BaD){~?HT0w+(1Lr@9lR~WRO(A*5zcWVf(@qFU`KLqZ{HzG!@X=6oB21#FAT*+x0PwGB>D% zIjDr?W3bF1)0d#Go{m3jGH$$Id$NCJm;E{tQ8VP#DOU5eE9em1!8pZm@$nqfh9ka$ zN$x~hxiS26f0zBX<*Uo*)f;2FrA8jz7jJ}1ZDk@-?_8pKy_u}1+(nO~O8fETjPw=K z%a#@N_+L(GzY^h%iHF`n8LaOZsNU8XiX@C27N}sebyUBWDGiuZ%l|EjPG{f$+#-9$ z=1!;d4?{|sWj*%}?Rv|eM89E$U2~@Wowjro;YFGA(Zf5FHNL4sDzld1WX(lpMspX* ze#1a04X@nL`>U@$57z5Cx0!Yw)itcqCG9ms;Z4%FQPI>ONY8)?i;@oc&SbH5D9nO& zcH^Gg_L^SwGOU_dOIYG9bXg^|X|S&}OW7%CYdBYjs*P}l{KLsw@4lR;9vx+`{$^E;%7~>ei@FF;Q`{;i`-Y+BMbrCv66_Ch;b7&kF8nF_(~J&mSa!}Ay0?X{#elAj5wV%aJ-ZFBiX>-(x1 z>-c5Sh|I=*Vrw6~8d@*vh{)wr%|>w?2`Wf&y5qr6XsAjQ;dNOfHY$jFpJV6dBKOwL zHYPTsh~{X zhBFI_y4R`ig$5dW2aHy(-VwyADfhQ#aK&Z6AQZNXS2UJM=Vp8OsEsTqeSBwWD`CBFR0J3p9sNIv(IQgS<NFx1M$o7Tt&zYrY ztb5V0&ME|O>jKB?x9Muq58h*#Vk-O198$Vp&A$pOe>CtHAxtaoKt5xS-6l!UCNoDn zVk^GsQ+(en&i9yxA%Lv7pj;|s#s$0xq$*0hyD0v|arSCBUM}UXF+CG1BChnMXEwz88As2`B^+DDml3$#pBdH0b+cHNQ%ae_Lnx zarqj$t6`iDPUl;BK6 zRGD?oXK#o%%r{bkn&JZsZh;!Jh2NT`O4yw=wN)Z`xcwuX#pi9H$OILzs%#mZEHF6a zRzLZ}o~f$O@$oE7h1>;gmo`}6zs=WcluuRA0`*^J9TiGcxNB798q4P+h=qM3KbCCx@Vc4W0 zq8~I~x}j>?_r4}ArXz3c2zGEd5^~}#GBgj3A_x@N<-dF)Wcc+dePB-^|HJ5vuMAm_ zsW>#eu`MPTe;P|~i##Ij!=$CuV@DaIyutmnLvgd-F#S%f5|4K;aJX%QH?3^b=NqZL zO+^zP>c2+%UCFN&5S^4+A5zlA#POj0U~`zpPOWnp`$Qz*v=I3O`;XPofagrb zQ~x;A4?kXwK{6VMzsQD+`Jm#wZQyP{f>9j)s6TZU`uuqv6CUX6Ye4~kZ5s4vdlVW4+)*Z=6{mppwS%VcnZ51=< zl2a#J*6#al&x)3kJr62RyfDl$cH$oX{?a68g3~`{E}uQpXK`*o zphIv?>y5GQ=&ObOVSe2(ZL*tRAMijRRO8i1UMw z8lCqOm0n?XTBA)y(D5;_H=*CLacLt}Mn=n_(88G@!ZN%WpCM?3+08phx5J^5CE z-V?-grQuKMPb>DoqpmggC!-#Y=lI))z#n?8hzpbs^Is{#qf$BL(lTjuOQ?FXv&>D9 z|D2S!DNqp7Wb3ZI@B9oo&+TjN_dETlL(MOypB!+=jKk@sEkZm~?PsZ{MA=1mvGSwO zJ}l_MkSh+Gl3Z7z;AQQ~^WhSlrX)8ZN~}7Y*q3wT-XmiwtyVhuDiy7Vc1oD6p4@P5 zEd?KU{uI18+*UR+>@I6`)_`0(DxdqV0+CpMhEw&*_v6TLSwj7h_3dKg56!#{+G!WO z&oF8itMaceu(6lfLW`}$Bhr)@P9R{_s?hRADOKJ~_j^Ikk=X?{pR4f0$gueGt*m-; zTw&6Z=SmG8zo1XZA+nJrf^N@~p~Ra>?e8dOKqX_#LLj3)?$vd_GYtA||#)cGl73i!7044v0y!*w>xv zwZdo}$C<=8B_!<*N%hU_c>HgaB%_}&3XrTjTQ(4l%Bi8>{80}2)*O)(Qf$jkQ0G`c_=yk`IyjR_nN*5+P;&KHk_%J*t4$AsXMlafy{tfa#NXpv>}k;{DTa zRC^2!0-tv1t{vtR7kHSwdHiR)M+uGuZN9m4$?_hIR$2=?4mYGBOxZ1RU&M=z9+hV% z1ymlgOujUUz0AKlkhF%(nrXR73sa0e-i~4h{kUN|X>S@{)dHpiGrS}OT9B8O2I*0hm{tp8c!DygnN_r zpcN|VHb2hkwhojS&z#iB@AGBbUl2|lG*f;~r5GCW6YE@iod~3h&S7#J=q>BS<*_YT zl^U&v@E7$<#p*{kbG`J|fnU|DrN{KtPJ&hY}RI@_I$qN&$r!yn^=x1_+^yJ&RP%K^j^=&f@ zIu(0Y_P1vA)-T?itgkXxJJ(tJ2tL)WWi!?&qogX1YD%holm;MT5E@VmKUyWOkoYZ4 zFhN~%`ZETH;el=D^W;I4>3Lz=)QBe6e;)-;Z_0P21<8uKywS1xdfV5dm>fKQE%|3f zmm2w-!<1{SC)|quh@Gl{!!^v$3FD7jgOh!nFEaz;Up{s+0|*!g$QUjU@qy~M47Gbb zquSoiE4`B`4YjP=9X8UfyQtt%Q7_Hcwwn*ZliyLp2!5@_%8@6CMu>K`=zRY*XzTyO zHGb~5ZSEh63OkX%t=qsyNpPHsa;rHfK47SX7#@ap5iYtD->DB|j5l->?7;bxGe5I! zh0?QR+2cLpSivMHVTFOpsh*x5uwmJ2cWZwB#T^7&iSs&Fo8Mz;JI&2ZG>+l}kq*F{ z@{~Q$17>TUrK5dEh-tV+d7nbF@__}9R9%aqI74X1;>~0zp{g=}qg%$pVIBM`4kw<% zQ@rU3L9f391)3o*XiY@<=zhG4;YahW&CoBt>>@sa`B*X-qx!RQlpy6g!%#jqg*eYH zf%UP7{!u&=A}y#*kjCRelk5!5x6|zcLiu6SIZhXxQM>CpVWlV<{9;15d7qFcptXsx z<68|2f~e2m7dw!f&WyP=@${4`X`>lGZ)FS1^c=vg8Y7b?Z8)|P&tG)f%^U7iyA(0g zF1y3v(Dx5T399|GA=m>1uxcH)GBuiJb!+S$(1y3RuYG`4m?_*)k@D&mEI^uKX8jOoZ+phh}?|E#{aziKMSP0x~Wx!wF2)osQXnM6NcYT@3q3!`i-jdNW3RF{$)C~QR}3fg@7}wcHS@NJ@1-GqrI(zSij1h&@V7lZ z4JH@l(l9Sg2+s3B!7eD81oF)Rj%R&!*{*!u8=Yoh^^#S${kfUrC6S-!(6#cPBzBj#mIor-;8W6vG7 zTzwpBibOYh?=k$a+e;^`Kpz^1@makPKa)R3=re6kN~p0i^&dIpu|q^C^q_HT^906` z6;5_A;_Ft5X_PYDo=rfb3bu-X`iM2_w`|)r^wiFQ-!Xl*yY7uNdbojgj-76zOJn3s z6xX-Xxyrl8BL|LJ=+%VTbBj#>k`r!vKnWsAvL=-U5B_M=E1Iot&h=Z0fSUN}Qd_*P zq~7<}GyZ`ur~^Vi8;M|z;)||pNaUmUKii$>$F~~%k1ZO&W)$ngY5_&jr_+k(Gm~vf8-Iv@+?0HLL7I*!W$F6QTcFRvIBRi` zvbu3ZJ*kKV>F6I5(_xXwikG9rU0LlkUY4;FL?^1*X61>!_zGjm|7@frG_&*B2IT@4 zku3&iz%SPvLLK^$O5qF4={Kk>|9tncA_td;&zB>FSl1=KAo@8*+nqsP`uCK7B~}+B z^rPB@#YGTTjzov{`uqFprb0jvotpHM z&s8@s*V#C+*_6Qse3{tr_-7_m65!vE50Q0|p%=6Ur+QtewUKWK4>JF*6nysa?aVia z6Yhi95~tQ?7T8YL)=t#K6KZHtvAp75D&&0~fv0tmb!yMaDR2f*T zk^G0}spusnwKiiZpTRA(VqEK;i7nA*cTRH{?US;#SaAWcLn=aPYgx@dz z6*I6T*y|)ip%}gHQhRTNIqWJALwjNW<;?&vvpyOu=6(u)2ys1v`>%*3BG>GHcAxWc zQ3&LxGFolhwz&_{q4U!+{4TeFfz~eh;2x8|^dh4c5LEOtM{-k+Lvp2w|1AuQ5%x{T z;$IC9rWG6r=0upg)G>&%Ma!px&7ml^qjgIDtHM5zc=oKa{}D0&_@^!n{kf$ry>35w zc&ZbRFNx;&AHRJEAu`ej7{RyyvNk1bILkAnf8PVIuD<~!qUs+MLe@Etibjs0oRQ|L zgnhEYhwc^qM<9Pm}3@&9`FzJ_A#0j_JDzNWMP@0DrbNi(=d zg7ZX@5er_8Z>n)c#NvG!@s@$~?+$|nL8ZW+5ZX>&XKm7$O)_`2pr?$f;yXY8pL7_5 zinx=L_Tx)J+-xILvG{+v$KyY>E7itg@RgbSboW0xdo2~) z9{P7DF%`hV;|dN7IzrK)l?3DTc)b5Hq3h$G_)EwLwJlBu$Vo2*1X@R&3s$-QLzbY@ z`H4z)n0eE)3gWp<-W{C(hnzPi7S6jDY@hFF!Kh`vE%CR%FcKjA=OD#lQHaG+vj3r7 z@C&X(v$xLty(!@E-$DO>9)XY6$|3FlTloAq@pZrw8*<$^|GiQS;%m-(2^&rSN{E1e zL#&D*OtvLiD{VYxkOIxkuTDq>P4EE)x0kOR)RMd01X(|0vjSuZhvlUZKQdTqTkwxs62QS-=m>7yTneJ;x|7NeK`>s_|_t4 zP~zlxiB#L_KC)L^;|se(q*LDGBKC{(?)|&%3{PDl@Q2R|W(-2^-|y_jtP-+jR^K-2 zhTzRV44vdfK`5CCFdvKAVm^G##lvaxHjhD!;B|T6q1b1-!xN9EdpAq2F$c|`w^eM< z|8%L_TS%!oca7}AeY{m3wu4@a*`IPV4B68?&*V#xh(GMCkEUb-DcD|zoV&chsP zdRCvex2o8~i1{pOv_8EudGkn{HU2SX!QPwl3!aYa0jHaSAC1;WpWVh0ae^3j_k`kW zEaQ6967C-3o3?s=P_=)T8KKQ_(}ew6G%vd}xq#v|xvTSof+cL9@tpQpa z5x~nM{xL<2td!v?DVc5*K5@PdC0qQWR9n&M2j+5^ai6vS_9+!~8%||(j_x(Wh^hU2 zO!ektdyo80obymBtR(maGOWbbD>A1-svhCzLS~hoet>guv1YbtUBIO}^SoX(Pb-#s zw2IAn{z#pPZe$=UtxVj#^X?(*EcpW_3bcI5dJP4f^T`D2GG zK0A-juQPNL#&QPDE4?8XRvj=Hu#=XETXWdS-skpZm}z{OKDV>e+|i6(J@=mF4c+L? z_1kU)0+HON7X!k{+eqGMt{33q7uQOiGTS>=kNWvLWp;0K@9cHF;w*G5aou!6G>~ktq6tuw|y~np}yBCf46E9v1Fj2nzIz-$LSK!e;Kku z?ZT%Mq50Cg*K3#73!~|=TV_wM!386d>v(tGlW|=7^ggSM@bxi-%}1^v8yYPi5VBC=5W*?T@D!o-G;wPuGrg#1Waf@a#hx7jfHTc6Itx2d;r zu3{%WLOe3Lcf*)|j(zUJq+Hq~9&zeuiOQQ^Z<`Y3zufAkW~H&G-lR#Vs=i7|;4MQN zgV7PVAQnoEBYl`-(tp06qW@vPxhg$^{C=>ltlLej7i#UQPFL!lH>UVJ_enZ=bP}B< z@g~bdC5wT&Q@#_o^OEeSh4=etmFa^%5Yv=MR=bGozlunV|8 ztG`?CGi5uaI@MHfS1;tn?^WXU%nZAYZbz{LGfqQ}` zh^O^e5~Lc3C=0hr*@oHrX7c?N&Vn%}sM@L8jN(LtTlK{zd#BkyIo8iTcz@^d6pgEt zS0rJ??Hits3l5S6(M>9^`)+4%NES;reY*AO<|odt7eD1cZ&1*_g}OC%%SIt0$t8(X z!B>GU&qg6K1=Tui>O5Ar?zC^^7MT=%zaXjKHsyZGn3OZ=4(1N^j_;B?OTjg=unS>T z*I2Fz#plI;WwFp5)sNb=TqmO&tJ}Fk;;E=zJZs?e0{0r zsm|$`J&+#H^se-+rpYE`(T_-mz6JZMkx0DSw!J;Pcng9Zf@&iybmU0 zYo{JM%%7Xr`Y@wdrl5SQl9rP|?WzsI%q`fhV#U=&cCUA-IK(j*U(j`gGv>s8h)rW` zx*B||BxN*dHC`vx%QvPg=f;a}rMs!A0*5Pvp9ouH#jGAx=2T8uWniiVF^M|xi};#) zMMlxKJ)!h^ihe^hf~u+uxqzN@5NZ$VuD8e5X+nl6D?c0SVfIlOV_i` zvABVRl-LHg$kc>*ckx#=UD4_3)|{@N2Hlc^UuzF@blHs8TL~c@4;5iqi8+>EMnXi6 zie+^d-8+wA&9FGwRvx{g2$z`mV;9La`Qs!x3t`3!tS83TgyndP%&W)NVHI0FbKPTi ziIY-HcIU9FF*NGY5>=ds+b+2Ud|elC?&qdVyk1;Xo<>tG85vXrThB+ZMNn& zqu$@*>An+m#8l^+CfI8q<%+8#^P=X>lfc^b_}OX+^Zhax~~;yM{mzIit><}kEjrF z^eY&%s;zKYUe@o|Cm(tZo?nr1px?fcp{_qf$> z5hZddhrHI0{lw_=&F+`=l*N9N9*Lf{ITVE%_h$y8hI;!FCrABg*QMoNxDU)_r235y z*$(S@s&B1?nhu(VMeLEY2~K<8bIUq5Tk3eiqNZb?k?gp-ibx!=vv}8&dd&BISR*fNkO3fcPPKVZtDIm zW8B}~$Nu=Ft>xs*dLyZK;P4(QYiqGw>wKwOlbi2UKk1bBmcn#Oq=Ve_jm9Fs9#8*$ zvHmCYl==SDzD#Gf2XzR!?+F6Fp1!`EfqK1X%mElfeYeg9Bs4%W>Ce4=v@E$QzIRyG zLbZCwP6T>}Q`8f6`jI?<|GN_9z{N9rdq|l-7GzjCBN`XZMIPXx6c9l!ppMn!bh@ml zar0e8>o8-+z)pW_3*+h?1dkuSL!j&s(FKPySdn@#VbwJgcR(=W&9!A7C@4Ufz-Md- z41)l24t&A@zabbT5ZI5;5Qr=W>7UQ47!1FzfkGfptRR@buF(PiqJIJMg1-CLzvp5e zL$JV41mMr3Oz7{cF{3ii{r-He9GruQs)@;b>3xa6qEZ8{s`1sh^IoUWlS-=%6&Yt!z#vUy8&NM&2(92Svk5`IoMO7zt`Br!PP~Gni~C}KfivC)7-=A@00AEf4vrXK{oUmHV#&Hw*PjU zi`9ew%Wdd0KX3c-UOyivi2gEuWh)PJTWxVGJ78)sG+_>oyS#!wp7Xy>{T=DgTQ!`` zox~jMz@09_e<$nL&HtYK&l`U{^Zwsw@^Rh$_mTgc`R7jbJMgQTJ3H9AqHU;QZ{;G) zDaiKU4*%y}_y67|%)!O=>!yE?{^uRq|MiZ4kN)Q!N={b54#w!A33L2mB#VpefA%Bpnrrzp3VH12SEZKK{2BUkd6fZ;?rOGFDJ37z6t!NInl<6QVxKq-lI^Y{x2sl!{^=qV|IT0 zNc9qek@H9}Rs6r41QWFNU*;g-|4-2W!xN-@4f=EKhUyv(zrJ5>J@l&GPQYcwXz_DG zqTvg0j{q(qus%JDvO2P1-XcYNN>IPa41v;5s-fGthMJO+K5++BZV`qo$g< zvT>DO!e{SKP{&($?ZzwHU*1wkzAPAOS@zGE;9j`wAuK{OcuFB)pgFX?MOtj$J6$|e z+~D@|{f&uy7vG1P>B7GCr{CHrqjmFkDkLdlF8(tNC%u3x(tId9_`wx8)ea22h&7Gm z^QSI3#_u0j4=4&q><`$zPpMxLO315F`8NVkHGy!EdvH9507nA_Va=!ex)YUFYB>h= zkt>I*MWxg|ufkpYrwg8#WBrXnfn-F$`Lo&5?P&tw``DQ0I1$2GZ6Z(^=F%$bAtrBw z^FsfGPAWNAdthuXTfF_v0C?qFww4oaN8N*1MWp~rsr9caO>kIlzwH&+&1+&qeDenN~12um{Be>Tg}Ja3xjV= zrHa%GRVTem^y>PrvFI$^J{Y%Qvq-Y--`rapnOGmIps{22$e|*D{e1-t%zj;9GsLN% z2S4UzhJXMlInR{Ki=kH-r?aA2o(T9kfhP zc&{5bY}OaKuJpFnyRJQOT^p_<;kMRJVAZ$njAit!t}_38ZNmTTbn4CuU*m@nk<;B5 z`VT)6mH4KOI9t<3j|-!|f3=%?7ouVZP7OrgHSk=FD{#(Fb4wP;cO!g?l--`rmWsSv zJiQN|uDvl{wGnXclH=*9d4m4>^E=(!tj-xa+#8e5J+4K$8_ma?n`2(PE5&Fhf68?5T@04Z@YPBd`u^593sigk8~ad{kvxRb-?>uoqBojVqOM55Oq^*{S&Ff z^UjM44sta1pPt_^1?%-q!&dV|N%N8Q8KPi=KHcLT%)Ro&N4u{e`Hg8?eP$?B6PN2F z=~Rx7M8$)yP_FD~xzgsNSHS8$;VaKlx9u8_HyiR)BuQ@O%tmy!QTp3DFL&<^9nCBO zpPGso-;XrFoz{(GtzV(`-XF6#1GGW6Ghe-W-5<4+nfYS%0y#g|D@8{sj55*S^JCeO z!q$;O``Yr5&Z4c1<~&n`@Km?Az3@Njq}>%ml4|kD0dguug$Fx2*mBS^@HCg-F3_uU z;uy%S3>tGC(YLrtulPK=cO`YLv}O8ef5WDAw$Hv{V@YzxlJ!$}ZHFtUh?=X2Rz#LA9Z7^dczk8S?7doaNO!feGuDv2}06S|U((^(cE}I5P z8B7(G)OQk^4Or%t%|_?dc2M!UDyhwO3v3A<&xf%!=4A<=_GDgt4iB9-{@1B0(N0xe z`WQ_WA5RGHH=h6*# z*}wvUt;PX`!ih%D3Ks3Mx2z58oLig+e10e2+fi7QKC@2z`p#Y4(Wc|QmQ0IY{gIN| zhhb;axDid?=fgHDH>Voh9o&oaauNA<6V+~?S!zbX_g%HhazXU7vgcQuGoB0A^xCKz znT+Kt&4MbCU|iEY=}|7$;Z}@ei=l2My&<42a7**;noJwHOFJ>b<=blh* z=Ak@~eg1_d@FQGyD5LMpMWx3OC?l@rYH|?VfbVeOg;=l@e`!unvh^Yx>TQG*0b{_| zI6SsScKdB<*I4?3`xOri_Ie+Ulk(U<@AS{P>ja> zr60zO>DH%lmn>J)p>nNGTTKU&utN2?MWwIYvCZ}nphK*F0j8s-p`k!$0t51n&<>Ot0 zN{e3E|JRMl0PalMDe+JRppk03Pl{4PVT&Im)NCa3k-pbzVSch-5M3hI(aBCvO)J{7Q!WD8R$>;DNRh4;*r~MiT>I|ML|HQBIY@UWRrvf z%wXYS-I|D36oMI+vfA6z35I^2>bl?DmU=R_g2Z$*?E11K?5lWTZLtZAiIE*MlG>1t zvqoISp+dDbf1HVbk#^K4Kn?o8FK$}`gxvTReA5k$`#8xvYOxJ%B6jk2mR|9aV>zl^ zA&Q?TkHbU)vc7`gopt8&#f^RCD%qPCBcA@jDDMOo-QfuSRfaP};s!{^iIN6QAYOAU z$ME&$DWnuw;|eo&)M*jG8XEb1Zn0$|p6lc)Z5@J?aA&dSm3~7tNcNq(XD~Wb!$yxc zEceT4`wO}?N)3d{d(QtuKb~O%M$$h=2E{ge9-w(~C$yOtYX|1Jj6Bk-cPX@+X%;HA z_DnCmUy&Ebti`IT)cPU>k63a)uGA6$fbjJvcHhs5cZv*F+f5W$qcWqMZiIv%^}$-b zDV^GHMh`7zk(_KrNM2`Ljz-=JA!6gLKA84yP!X4%^lc+|7uVPrEL0n8ZeimWg)oNZ z!v*eGbXT(K*N^syoRN)pgRCb{({0~;_@HJyLrX^H>*=$Zrmz2c_2pZDv&e^-0z0cf zby&J|R}Jt>AgX?0@!1Cn!oEkN#WmBbBC&&R>~obOquJ-{-8PcT$QAH+N^wUjtp*AN zXf3cigz^&G_ z6P8OfeM0yB!n5=dfAWcEuw8He4_BmW_0+#vSKEwqry;Svz0xeUK1$2_hnhvb2CT;{ zx8Ml`YQ>y+Y;e`@)o7Mu$Qj&ErDat~>ZO@%m|80u(CwPtDK9O>?(!jR3xVuQd1F}*?wvyK&O7uaHgp`;8)n-FHQZ^`dUe4+fH;$#O?A&6^)inlU8Xg!fe zRi7RVw_l~}i_ijbnb1{s?`oVyhVSsFa8hCox_V4g9S?=Jl3t2cS-vg}?#6ratX;A&1?4*NM*d z$UTo`LNirJJM$62CgsBlzf&(#UdK##{-vGAr1oXY8UDgfdfAC58;D1mE&U91rL{;XG+(bs@_LS}Ij;^DMo&$-&rE?R9ogROPvfyQD}Bpf-wta>%F0Z$5%~^}t@es+ z>kdgc$b!u)9tJ(LE%6)Qp`F2tXHERyXM+`5m*41X}vDeEKWwW8J^H&x(Jq{j!Vr2n&G|Nysqr1xWcr< zuaP2?E6tI@N9~K{0DtLQUsNXj!#Sv!G3R?s+e0_|Z~)>a3ZxM78U<|A5+EIC{o%?x zbYa3PnZc8xMla}<+(fUnwBgXF8sR>|4AZ?H z(+tKN{#La)RqPVqhsye7O+8W(zec&vb^r4Y0=GFT&ThB}_qhm^k_*3wah)Qgr6?ZK z2e-cSKlw_zKW#GI62Pv-JR7YiNP)(@{ zz}1dj0U?)_-oyjn$%k!8=@JJo|N7CwW8g-U9zDARfvJ~!S26&klgM*tOhk@ZWQ6SN zdxjeL?hVy?#-R2}{gWhho>K_%JDo0drPv)J7o&Y0OaWmk7uc+Q&y~#h8dC~mksC^1 zdZcqh;aM3Vl@kRMjF8Me5tR5Wsyen!Ml@4gLT#IiTYE06)q&3uc3F-3a%7W;B7Q zm!t_j0i|mL6g&BdbR4Z9#*&^1b@YmuEHKB^q4_Y6+-=l&{5g}XS1}|&>%?x6s1{k$7t06pJ;~N= zbUspV&i%~V@FiSTwV9!qf0->=ahYfl@eS*CjPLm^FX3!hP{%-a56YouYn>7!kEC^m z-akrZdG9Rp7wO5kSIEyKOXd$0i8G5QXA*xzwRW#SRe!}7qtSa!Il&-5IzyA=L3$-4 z#_lUfe0-6#9{z-T!oHhxo#G`#SAO zjMeL$7K6BMxE4#gbfxkQD4Y#E&34-umk4(Zef32#8qcGyq_SMUCtZl{bq>TeTImZ2EJaF5lB97{p*tQwJ<1W}`qF9YS20?|5f3lld3lN3M&&UVF(D5wr_El^}xgDkZ zJMJ3U+vv1_wPrV2%fWOOy~>~!AJg|_@pFGcj_>}M)R11GYHnyv2mPO*4UfmW4DUn| z%OCuZZOWD2X4FXYm2y?Fzs5YL(0U@(SxBfir1Y%sRBiHPgGr?!p+L9ow3XIhsQNFS zE>{AfbiYZ>>k&E|M16#IZgIP=4oc&ba$B2mTMs^6Kjt|JyhV;50mnU`7@K&S^Fk5H zbET>nKTChEKhG&f7NGTQ&(*<~C<-5% zoh@=qp!QwLfjq+D%KKNpjYp6k<;B zfBSGXyBo_r2qWL);F3X`@L#hmq0MsQE{*@gEKbr?*FWF@BQtQR%81gIVg?I=KwS=S zq*p##I$)WJ z#MBB`bKF%KDbc?=Z#UgI_TWq6mBIlakeL!yV`Gv2UP+` zZROb%hvqjM6E#v^@eEJD;$MzqGo03`vL>oiByEMLIX+TVUyM3>wn^R?|Cj9rejx@z z!r@jF#g9n4@DyGyn(O<0;auDFK|IT7)Y1g(oc4gk<(FT7XNU zUuk8e?L7^8<`!b$>`$*c5Gp(7sIre%cziR_ePbf=h}A>b>0QlSi~Gk=B87ovhTjH( zKJc3^29$Z%V}r?=BC=RFH2eqXdpJZa!<}I1WO?*1{itm3aADS ztA5%Epa(8EvQrW9wf?0c@L}9XXI*z}8syr3nD%nJe4vpsgUaPLN-6-Qlexi-uLfGH zktBh!)~5w2Z-W1rB8mvTT<5v_LD~l1Y)ibYbW_dnE6f)Nx@K|-tl^H2!qt&A8u^Ok zY6KhN9}Nxn2wqQ+TWjH9;r!o8 z1HoYoDsTLG{h)0CNV|{mQr*U__JK5BZxG9*(Fvq=Q-O_2wdg(TMdu{mh;~Xrju$3iaawzyl8i$Y2~~IBKQoGUNBu7by^u&P!jO zVMbO`vR$d@{vWzD1OtSu82VQ9LQwt!1(CMc>f`NFLMe87Uf*KgO~hWL(jV&rgw?Kx z77UIzJ)FR2$3P?G>by3IkcSdf`UXnw!`B~6_$TgAmWP^$A%rK-gS({h0s-Y52Mkf6 z&L0T4X1Q|9A`vCkXbl;84Tx6;)!@mwv6uqazsS%9?0#lz8Ey33nQU4cDq7wI(IiPQ z{FEjt)|oL8uDjs}5~OC6mn(AwqpPPdJJHW|_OsMQ#e#`E>tbY~$asQ2kOd=zs2H^$ z-?(d=2vR|xeeK+Nv|fx}1~s4xaep9Bp;$7U#BC|bqMl0Lh56e7Amk60)4fYHigkvn zax;}8DTH2|e~#ZA1@#6ipz>BA_}+C6D2b4JRs+eC?o}v(^;+Fts>sQ<*dX5qgOTfi z0?++oohm(Q+i;52>86H;Jg3D@w}oh_@#i=0n3U{X0_=z~Z}}i}lP)+{E@7NVOV1cw zU#{;q_OUA4k8!MeTx**4N09vO8Vl8sqO!&Pdz_283V1^5#(MgFWtJh zM@E5zn5=qZ4HCohtVc>V$mg&ALEymhPV&GtBAOiQ!{F6;7f86;!y%y~N(x=7W#XU5 zj^%(W>PLxVBpUU#rx`SPjiEJ7LGw5!4JVpN&0-yM0k`$1{D#dwp2vU>zgEjvjQ&b; z$OY(FyWi;J)i0@hcbs1NpP|sgZF_T#N{JqyTA54_z+9bo{Z2gAdS3>gmEl?Hdm(b8 zO_Q66T?(|{WP!ZGr`k5byY{+bJvYGs>2~;U-7=8usu8a4?-66};Ch~(t{I-KIvrbD zkD;ql{%6NC*+@#O-R|xQ%+Cs=$iX=g@Nc07$})G{FYm8{9l; zUmCOn$-~Kz2|(k1tDmnTg33}6>$J+r;4u9pt|$a_XO7lv(+Iv#x0KRt>udakPj}UL zHo6)tLFOFJSE6*_LEfnR79@qPfK2%vZ&aIg5RBj}WPqR7s7I_!-#x-nIbQ#Z@u=o!m(9- zVTL4JmX~i3aQrMB@Grkm0_z`rJxpKjR7 zQM$sv$cvN(MWzj~R(9N`@{x>IvFa~wDP%?1bf({qbC;2zNprcKBtE5b@t;5sV(EM^o(t$*YEo&VpFX;u(qP!qCVdxBvDESSS(R4pTdgJKa01t{JFD<7*?OH9+%~ zNYlFaEm8!uW_sgSj zL1cZAj|djIOH>nZkIksOR4a*c--D@@Gim zsGQf;9;JI^xfZ*eH7|=a{2Dik$-rrJSo2pzi50==VwhWdP^EMt&Ou|D_+BBDr6(EXveacK;k7u9e z(aFXCP;Bd@M%&ZTyo-ywn;8{1-)LIsa}+FEzxk9VLfWG)Z$TkLSV%SBb7x5t@X2;z z(mI;ivr`n1Z=CbL?h^i8ACh2wT)+X{FjQAzL838cd8I;tY^dl9EhU;#ALAl@kR9~V zr|8^g;Dw-Dn{M)6&~`LkXpfGbjqYCLK9Y8Qmse`F@S;ae3*i!<>^?GG`KdDF%z-%CQaMH-jav#7l=t#S2u>!X_+uE)U5;Io;I z?&+Tz!4JO;^nkvZahxAo;02^0Di7qEyRyQ?CsIH#h!8Axq6M84N&vY4SDo0NdoLz6 z%5bGBFVB-X$ur!FFeah})PNZ)EFSV>;G*6XxJDpjZPaSZy){~ zG)4}f6Avt~5JZ1i5L^|I#~70=0?^n~6rib=!sq;8;ajY`B`Drj<6ONp%9x)@aECw| zBOZudbNNW?aM8&Y3S|=}XdAs7`0vV41Pl2&KYEHkEQL^c>cu%9gX!E&KXKz_LP-nw8;y z!@wu#0$lcM!uxE{L^KU;B@=07)B-wmm@HG8d)OQ|;Xtp1VEp9gCFQY3V>=yWHCFS!~{m-}vMnREfa=;b{J({nz zqa~F-{ZsTI%m;yJesIYEFwzy^LDI6~0aH7qm_gkN0F+RPOu*d%rKxIfss}3m*n@Kzn7B%rD%p~E-PW~_ zL1e-!RnfWkJK|k#X8;WQ#$LULHst@pt{HH|0=C@4p?ct?Rk^C&>Qi4^!B)&7zM!XjW@lf|V6KW{fnhl7S9 zYW!0W@FlCq{`QNulY?Q@?UW#ZanN@k5)^al}CWa?wTBf5vQ!Rs~K`9$r7g zAb4q@MQ#cM-o_Gt{P61U;0OuaB>*#Juoe8XB@j-<0voTi`kHP7VwKgQk09aiw+evw z0Z7B7W2o~p7l4}1CEi)cNF<;0(kP&;6hLS0Qh9>scj&781cZU9M3z8E%-J&Z zKXo-r`P+*XIC&X7opdY7;Ac09GF2dYA;-$=E&|2jwz96?-)7?|PcY-0TWQ}u{4`YT zQ+Qhh`IK)9=*l6e6XE%*&NJ|VhtpZ~r2W)^+Zh5C)A;L_)7XvgNec1cgVN=%nNoHH z7s7aQU_XcLbZ<6F?9#(iJs|CX@{1NH&3@ zTP0!ot6%~32P0?QBXSoQgj3!K46_I>f16vP-6AVW-YJSP{pcImgVAc17)Nf2X8 zDWML4dtv(kEkv{4#fn)i?|D}u2aON~DBn}b1kyzCz8j(qh^4(g^c%PY-o66vq+^S* z|2ZyYGAJMot~FzoRxiRSgz9kUuG{&QDmFL)FYKjTI8yF7zk4~!jsQjv7i5me~v zu*mN`c#ck`N#A+}>Hdzc89lm`2t2Tw0#9&&e0|Gl4iwR;Cv2&rWT2q6&u8J`lZ&L+ zegu-=>t6uY`M{!P1)UC~nxW6(Om*()%5n<7tM!+2WS~^Lh%x}DViyM&n2F9dnO%w06;+oeEGtGx~p=*EVl@mR$ z=NoC!5wBbhG&j;62xH+>*n+h3+%o|53}^!#$0Q=(3CmM$PRrV+#=fiIMV$6!%FmRk(605)}hIF)?- z%MrjN6IOttPw0)*3A6{8e@3ynwYaWn!b4SzKqG;KTg^%3>CsxLE>I!Xt0(L$h?q4A z$0~?4-sh(}$>tzJY&=1JK72AK``0ZhuK~{)E`9O@ zG&$N5ZeuYcU+~bADufm(ogN?5faol7%5b18b1RFrq?vfpw_EtwcH|_Ctyw#^=H&(y z`?gMH`)2d8J&;fgF?8lYd)SZE&~6T*Qr*cuLI8>#i>6Wp#%!@EC_t<4f(Ad()3jv^ z1nZFg2gY}S!q_s3?nLc;qn?U0-ov*{HWCi%)X(&!Lk{oZjSi#bvL4~%*Sd41Kml}n zf01VtXg+wOObNeKWOxah)ei9}wOoN`e!!GXV6`)#-q0fr%rRe1xoc+~PQo2}r&16NL6l?`jF#?f8AcA&ep3{(}g zfd?qy_sS%GVvO7ELv=)h)#IuKFK-Hl*%xdxt~+Xc$MJfbn61zFQJVsb7TD zKyE1p21HBH0)XFagb*8GH@sGkta6x{o{|d}1}$$P<9EYzS=j+1T$^gB*#Pt8HWxxX z-X2Y(=J1I5w<`q(ygeI^xs+-|jE)$YE0|okGMSS{g-b5VD~htu%TW66S~R!Dk!OKOPPa?YK~=B!D&nC#a+ZiO=+=Vi@}iI zw^b&`9njV{1}L(=QKtaqmRh#+yQBFb!)n{48Y?tAwWS|VSPa~zs7)2GWHjG0i7xxFV7cP`mX7x3&dt&o(z`=liq?=xFP9p#oY*0>}zAbmVnCs zcrzz05EJT-HxYbbkz@uWI4=Vj!qA$}kffV|mLPaE1H=YOgUmsUZWXgPqzQl537$;p ztWD#@MM6K6)hFAz@fDvUr0ONr>|%nUJ(wgs0sWk|OZ+QTcz6^rha*6zCf){~3x0y< zYDlBcH7~IU+>~{&+UmBR(YN`J=q}w_jnhkl+i>D`S`R||k1D^`FGDR@vq7Z&=$%7R z<#1N4C`G|kegyAjz(TS41+Qni>9Ijks(W=9o;YmyAfQ~Rjyn$ ztI)l5*=zn8y)774>-&)EQmZ6jsy8-Uh56~6i!(0?n**j_=HXEI?)GT{C9nZ?w1#G4 zA^tQvf8=H;z!p%db#zwvcr&w5kExCqD%0T;mrbwzgE5PN;N?`5D?z@yVY!;v!muS* z#sDg|!Z)|PV3G6Tf~w6o!vp#Y&<(Rm2dqstUwy3~Jq@}~!cC|NWZc>AqKKMT_qCg5 z-vIe&oO?vi6iEt_4e3Rq*V(5ah+OkzC1VSyeE3z;8+glmieS@2!rtQ{F41sg{cI4P zyc&%0cVvS<#Em*v$XiuM3@o;7h~a=46C=B9(#KT|#1=_ceZ!~j>!Zd%UUF(9x*(%Y z2uCg};HEUYt-O3vpDOok94CEXCEKGlGQq&Bqnm&2bvqr9=eQK2*Cy*K7WY_78Cw0&b=?jT9SMJ{XETDBgLsq-Q z0^O!0Kd>}tD2sv-ifbrlgJi*T7LHkx%KOlScFuEF{pFUmR~kW`+Aoiz5&%VY^EU4s zVle&2(CLD>#-K|#hKqA3wJ>rf>>F5Kp^%H8r;t0-D>)vAk&R(oOm{@d*WrO^^3Hwf5P7KWHZdqA6_I4rW!+cLMN4AKu$Y$KDz zeqqj6T&k|5J8fX|0g=GYmpftW24mx8PNYC`8eHTF(bnu~$e{<; z6ouAN!263-w`q8}r92IGa}RfVL?V+2G{IgTHKeV7AJ<)2)H@_4I!NwMdpr2=I1PT+7I^hp8i7Hb?CKL58tK zCUHgwG4-ya4A|lP{e&rHCsLrR%R;^ZBo*)(4G-i`%`V;6t7Wg$$ud$0i~2QyFE2-k z7F$<`ik{rvI`s=lzx_D4Gk6db(B1QIiajQLPhN3$&3m&h|1)FmStNu1XgJTb>5a&ta|5V=Vq zy0rs#Z7?C)I$j;y45n#91__nN3|#so@`k?uX%>L1;KrWJu!ohq{~-K1g#nVU3l^Lp zGNKWn0wcV1(JHrsQ7um#v{_kz%v|n}=EabH&

Knv4Q()$2z~Wy@{=O`7c0Vew_HN)?6)AG_v!jug z$@V4?F8d;Y1ddt7_or)e!4M!G)J83O3ub#w0MAE;gmcpG@Z_MUU^~Ys*qW7X+w?ZN z`8L+)35OPPK{MD5UqZHk94oPJp_*g^p^h-dR$=0tVwbvou$Rg$lGABHTFsAHwhs-U zKcT@5sjyG&DaadnnfgyIk%w+RuKdmQ_~-$2TQ=Y$2i1R<%iBQVt$L%!s`G}~fP%6` z4kY_2d(Z$-3~FX5wU-kx;6J2wIngTLWSL~1eN|u^*ln_923qLLD%-Js*ELWj?x^0( zwetrZd~6M?uZr}_?ZTHD<{pzGW*-U=BP$$&5NW}{J-=9W zPYZN=Q`0bVg)7v(ARvMTG-gUNr-~!j$xsS6e=@}C#}n{twleoPs&=Vs1Uuo3U!NS0*!_Q zc)WHkj{(-+pgjBj#7bvsxLB9Q6*<10$98^g3Y5rLFS`N)F;17DM~*fV2tcCL21;8N-rd4 zydII4Vhe`wjfZs15A>nx_pX3G4KA2>we1)IU&0qj$3?y^l0}tO0KV{KPmgEL_Agm{ z%#Tmi>T`Jonlo-QABofdvH~Pf53L^AIHaNg9oE6NWQxbdpmqKni4`o4N?2GFK}J-8 zR&datLGQq`S^)xd-djacIRHNIX}L37Hq;xatI|SMfOm9ki$W0gK)Ti z9}Pj}pH(y&Ww=L{^?;2xL*bIR0>p0e9l1M9pdY5INLDhf1r(ttcUTRZC(mEF9;MRL z{r*?f0f8_v!~!Xf?!SO%O2Zl<{UC{j?FuLLe+T|-fqMa_MLob|XN+-E!PFasEYtdg z41|qrqCVK&msssG`?{jL9Ozc}GlYHDi%OeAJ6zR4;!!hN0BD~l{54Lz2lFQ@*#xMX zEc+?IZ&LbsHv2RF{u9l<-U}W8jnYg^Kh6{Fyd6g{tjIJ%oMR7|0RW|b=&g1?dKb`L z7Hbxw<6l16Sg;&U-L*%}H1zBW$1|A^R~zTXHgLFa>e&EUyL03r#xH(Mm*Y0i7~uJzfJHa!5vh0d&LqDE%Ss4t2lr!K^B5HK}cMXi8V@?&A*Dg=;8he*nZ z0VD=TLQ#$Uq<3wlQTME=qvoJmdJjWDUt!1IJZKqufNAi!rRSZW4_%c1>E4JPXj$I} zaQK?rP9@l(@B_%ffbOLZ5oAS+R!HXA9tkmuoD(J|{XATtM38UxEqA3@bYe+}zP;L8 zz*Q;;TDhlh{qEk3IuBL4Uat20{{jHJVP@&Ju|dZ7hN2(@AeU{OE_+2*g-(M#lS|jn z104Wt-}Eeb(R+4=`~94>>8Izdzgu(rr9qGp%M~`(jW~A2vUM54bt68w=}4fq5^_+gXEzkq&qAc zq#IF6Ql*=3ZqR%0@B7E+KKDJGv-e(W%@}ixu?3Iz*C_m=tlwTYLb36)5seBThukI}GU|lw@Bg4T}h*Nt&JTzXt07~ymxkW9_6rWQ|RbFpX*#kzE+{(iqE}MEf-tzx{fJu z7bq;f_WwxQIt$&mqw@GkV+F9CAZt9_cT;xDck7GWTlGgaKme5)%Dabweop4_&p`op z?p8Q+-wGx=C9hRC*J^h)DdD(kopXs##Q_Pwpv5lf_+#il_Blf&J`;qOVA)p~>b zx8G58f&~ufj6$LdxI*Zk@@KZjiFH_*2JXTVpc`eUFWhPn0KL0*$`W83?aa?0GL9UB zCvzC5&kX6<)kdlubd`3Zxr&$~t14%uypH1(0n-KKF{iX6@Td;~2In!y?RmnCVm{sz zz~QY?$U3km)&v!kJ)X+)WHjlw)9ukQvu4N$)zj zY~oVU;nX^eWx5bnly<;VP>9?Z?~i!hlYvK?t5;#4!md}vlVijFbR4EVSr4;Uo|oqG zUf`c5P`OPc(~awfL60sZ$#di_IfN^S^^73<38E0cVFI68BB`E-nIMENOV!kSv!tz9KkqP-TIk}|iB3N`?&%O0pMJyyHAlRUV zBaFcjrGCs*_SIV;UwIgHUA-;>*iqC*+yLls2}dtbx=s4raHevf4wb4SJZkyobu``@ z&G}2@lM5mC68uEI8cIssJ3d3+7TA1P>cqNAb@ZGueIO2hxA^|BU0H;)ViL6n*wZr5 zfE;rNO!OojEAH-GR!X-5SoJsOdA;N9#H0kv!O+^(Q7oOzlo>UhxeQ>&_~B-G{csqA ztnTed>!Qx6Iya1TNd2a=(E;gH+CTOx=aN{%%4Ca_4!nw~#p$qrRV{LCr5W}hfe$4E zXI|q@oP4g;%~f;2oO#W^QuFy00BW7$vs>a}PI=A3XCE_UeXbGmjrE|OtNiY5)xUs% z&j*0HRc{5C_(H277th;~U-1K1Jy$xOkLc)5&8aYnY@6|_{?@3OH`CYicGl*q=XH$c zZf#OwV1-9K(Pph+&T{Hk(=a*TLE$=PwD66!pyt8Rc9V$i{jB=^8BU;0=q@)`JeqnS zF>uW)r2$dhhUMKCKFKo#O!OFadBjBY9n>KgP_2XxFyOo~KiS2MklO(<{02o!a0f!8nb~4~Jy8Mx=hKvdh_cp5Rx*iji~bixudF^r9llnf z%mQzQkN0nVe_rAtL3!<_&;IM%t1G{uLMIYky}o^N_sN$KjGT_Qyw%nRmxM(V%Ar&N zE#N$}YUJzoy-yue;-K)A6ld10uz5@u(#L|4zFpRefqrYvD&uPqLb44&?Zp`I-Wy7g~)|L3l&; zim->1k49R%X|dCCJZkn2sn1uD=U1KklvcW7^!@!S7PV84&Sx&Yy=KRgaZN}N#FwH! zc|Do0iMMy=-pY%Zv_`xKP#oRw&`-{A!+q6w6t9RV5*>O!e;Wl-?yeR#!MhG&c4RB^`#j6tTH2Vg#xJ^JH{hIVnzgEDZ z=F!xbM~mVt@BcYre7>ewHMH_6h=559gI%y7Sr#;Esh;Zv(MBdfJXYGMS&T5FdxsEn zZftCj>6A_#!>H)s5n$7VYcR~JwD>6S&k*-!p=Q>%?U?IcqHZPRmVl)0^VCi0YiyRkg7eO2z=IpXO0_> zp3N#G(pj~wR4#^r=_Z7r>Tf|QcVBAfpM6ual`nE7^0cHlYsq|934})X%>UtTGSR{? zhJ=uY=CO z_&udIQ1oG!>mnQ2H{eq`>;WCDNcK!__9cA)Pu>23r}948HLVIF2gDwBzXXn=b6M1K z++I$3vXnoU5PEWSuyw~YTk?-CPs35JILujty$sA%5C-nZh0Ahr>Xd4Y?sl_1P z9BA&#oD070(xpKz9zi&|z_QB2%dZ6n0SAGBIbRCR--8K>f(dR+{83?e3yLw(Nx6NB zwSh1yUEQ7gLx2RiAIZ}jIHW<%-R24V#8`ev4vKD~>)y~QvwjcI`xvwo(OKFlZv{c? zCiYCS@rp3;n0W0c8zzl5RS15g-|uAFq}%hW6^n|tY!y^3upm*>23$1|B>p-BtN)e< z0$Bq@F>Bc>?>}(RxJnB%NmlZ$s=&D4==7O$&0QIvUF1_OTpM4)-~Po?ml&CoYm`}Di^>qO z1?E`Di~zd?0-y6{m)Bu0B;644TGpie_2tpQn(WrrUZgb~{osceI5#`?ufil~z5%D1 zfAd3eWp&(2$~;vgk?y=nPrCF9o=#y>d4a{lLoNX2kMc*=Qx}aLaj-bme>aQRba?6W zzvRJ{q02mTp4>PtE?TbJQV!SLVp>rX*l|9B1p?$d5pvnur8#E01V!WP(`Cb zfIfN{-k%q2dS3$#7F5HlWvyl8uH(+p5Q-lS59B@gr2yfUmM#>n@OEXj3FfP5LvNp5 z`A?5F%prOq-P-FT|A2`6Lu6d1T7WRgL0a(=hG?x68rSKSluot0SZKXg%kabjd_xSiY2Bq!X1*aUvntksM^*jobHjq2~_>PIzd6EU7MI2ni1r?#Yh6y8 zH}Vfa6IqZy5Ac;o3RhL=+pRip*x9ukkD-41erobWSk`lcAm zI_(7ksL0YI0U4xLypECAiB`&#k;^wcKsZA!p{j*ZmE?chG6GR=X6yY6#);m(R1i(< zRO=(o0vKUi1biYPQvprjdB`1UFLTCy8OTv%#cT8GgLZfnaOs2o@QGkDQA_A&$9Rbn z10O44DDc>f@RayL2l0Y(u#XqQ1xTVbTxl@UKY1E>)we|D&2F(JDbL_$EN7k0`68I8 z(u7Q^cDeUqC7pVQiIWYAjQz(QyM*~?M9og>Ob8kuNDVQSjRJf0{qdgXeL*Wp*6*(d z`pt+SOtXhc!?NkiLAt9NU+c~1%0KB)Fe!=VK!FDulaBofE`veDR$#pfDj#TD-jY%TtX2~G3Orv~jk&mUN<3S9qn7vT0tN-)V`Tv&k_Z)mQg32_g!)ub(I z7w3hpU=tTL01h`VL7V7xxWiE}4$`Vy1$Y^B2hHya)*BBi7Ar1@n>~ILzNgrprjoErBcB{>K>q`HWdlsXyxM3HUjz zLo6d~_qj^U;eb(4 zCmk)!&=D2UK&`R>y-y+iS2!HOHsIBODI=t()YEvUzYXP2xv<0f5lan+tn1*_yq@#^;U#!Rx+V19mJqM&OTOhlUARgf-u z-8n7wM}pJBsZYx+k)$SZ)C(liVsBnjyyp8Xr?Sm7&z!6_1o`8kha{*Vq`F?Reac*Y zBjf>9)41}Y-;j_z4S|Lzol5B~F%X%L%h&*b>5RuJ1kVFzK3x@qk7yk+iIeq#p3r_8 z@toiwQ*ZYtx}7}cYINkCuH^9N@Ui~Tn*<9}zj3dT<3*H`he>0$yOQ8tOyYBhZOO&k zc~R~wp#I2Bv#@SWjL2fz?gdWvJ+)P#!F1`1xr!-ba>5LYP@BDc80@t>pNZz=Z;2{0 z`S|cdT$rRZ%(qnUamX31oeh}){1WvhU-nyhYj{SQC=5*Gave5-Q!1QPCqxCo-Q_ch z#-&_o^wbsE>8BOx_e$mR^GC!XVJAYz=_Wh>;W{ zdwf!5lwr}O7aV`ll3>SwnXOMb44cKTaO)l3citbxqIjBKRuUIim-U=PKKpBBcbeoV zG$=MmRX^5O1$4<5YWTvWc9A8BMh7d^7IZ(=NX=C+W7vWNhu50Qhv(6cPg!0zg8`a{ z-pVbt7%K@@D4?Ln>qHgE&^!UU{^I ztdY3EgY~Px@knMK3SThbc$VAczNJXXFtewq$kNX#rGMoKX`(lo=q^;ifh*T6zB&v= zFBd+v_?;yrb^+TwXALZvtTYUsmM$&>BVZYUGe9EUi&Qibh@rw5OVX}`9FXEPeLx>D z3?4zYAPT5Lj8V!^lE-B|mkc~!iCPXyUJ@T@xV~We?+-qPiQYq){ud{@jI@AI^c@h| z@D_kvICuXT&2?)tb5x49h|{YPlGXnVo!=M3V?A`eZL>j( zd_Uk1HV!600=J{T>iIk-$s>ZuewR;~wt(6bR$li$!&Cm1?zER}*%6cK31ZZln9wxa zL7==T-;{YwX88|oi#AyF1P11^Tkv(wCb~@Z=o8_DZC~aHb9=_}(Q0&k43Qb@ma@M1 z5p90AR7(_MY1EZtBrUO4^9on|TJkr^Nb3vfNOcSNcah@9!Ukn?@e8zy_fWgV1}bd7 zD(5J{w=JwX(4n*sLM)F+;?a%WjYTu4lgj{w>A4`huBeiffrUr9om&_rn&s_4%R-fQ zB+2R+1&ostPc%gzj|u6Y=92O+Ye?nd4;>rBW=nRljO{kGgR$yZEm5h{S%4@9qB)*p zJ^vy9uop}WB1;T;bSd$X%1FU#e9(hSG&u}9a;D+cXR7z~bs zmhTU#g6;)veRKVE(greF_$Y%FDZ>H5SiLcp#Oq7niG~+s$G|+vC|9GP3>;7@jj33g zR`Msu5vwJMj+f6w{&*NUAHcRRM_`nv7TX}0z{>^toEfnCY(30Vpa0$+w*z|bnAzcj0lPA% znW&06$Af#30U66Nr*mfn?xt)Su!n9a>mJIN6U1^I}|&2}VCB4|5M-Bl2D75gu( zfdS#Qec9Nf8_Cno@%X!IM!BR#g}w~KK^`MTP;q?X2xHCJCYnz6io8l>I-<}gJ@dU8!A zphu3i{YBoZT#{QL&x?KAG((OwFg`>`8G=*q9adGVzSCnsjx^6(RFBw63ML6Nj4^o@ z<`DLyfgJQ>S6R(}OVujITh4(6LlKlIT|q(teB?RC9*O*}{p+l?WHZfSnRR`{rhmfT zKE@dPU@b^7((^M7yk>;y(n5N^%l|p&i7|7}1Ex*ZOGEF`-S1d%nGB!|N7tBmfr`%t zI)G5w68mQo6gzE@&*W9cA|5L2)G;wICeN#q%cH$R4@2eL32xGA9GN@9Kxq_?SjhTE zi--_)9yOh+I;6H%DnS`ce9H~n;g)aYV0eIk_>;=}N95-~vTCpPuTR&%U6}bkf>;s$ znufCRhdNnbsrJ*GL-`Uy8Op0x=uhiat~F`~H-o-CF1vXD7EPpNDhE>0isIl!uz%lk z+@-$e<37E*ur?GV8_#O=T~Z9ztY~xx%c;ZS()XUP|j z<5hg|ef~2WY2D*FdqBk0sj-*<@Yg}*+Ow_S=-9JwtVsHSK{mwW+sdjx4q$wh_Z+lv z%LYfg(SD_gt=|rCAE1wdEm+KJessNzmg8u4TegS!JdCHdfq197Kl|B3@_e?sKHWiE z7SUsUm}X$U3D`JqUo1x|#q+=ld>mbXid5y*I6&46*`P2{z<{qmUXRj(UwGFarW{cn4Z%iwk>oZr7 z_pgI+`|&>G(|3jKVRbYl$4Q+_49Pk*=sqgtqlF9$**J$ZFJ|OXov^;BnSB6U=mDK0 z%NCaM$3Ghk+>w!H>*6I&^GExS-g#Aapu?ElT?*f}fVG4E$J?mS>`-r>j=my&WYGVs z+zYo8xF_S-8IwOhPjcS|85PHTnYsrZiHTz7@2!jSICvBCzpk$c zi1jPHwQf}mD^n8f@YHjG^o5q^O54rjPHLVV=H9j66l4@KX;!uGn1TtIv%k>Iw<1?A zuA-ldnP3KJiT0i?Np}UVsNUgAs6iMvFlEYe!@eoWNsp&vvSbhuE9=<_NZ<&ul;5K^ z@qt}AKEvCyo`MYc{> zi{Q{{k#cZekjd`A9np%vNSwWdn14;T?9%Qd!}X(YnY+m{oksv$je>uW<%}go*uqSo zf|%$Xftl=8;4bRP-4QxSWYpxz7%(8V?|FdRn99rZVKlxdE0X^4`p@rSR;*`3HF#*9 zL1nesBg^UjGVD-Qly&KHe*<_^%==!~e<(9MUi;V;p-x#iSNKNl$LWFa82#2Qw{RQ+ z&$|!mU!y;69LE&kw6f4_`%b8Pg}MVwGG3ofQj#~h@mW|-z|Cuuuvx+fjCkTb*U9#Q zvQ&|sap>s*FAq@QSP*&ZKbkFPu(m6Cs^ypx9l@iOn`eRfz%zho^>NEK-@BuYu4_57 znV0kZ>5@ep4;twT;?!~Q@H$~m@g?`i?NTBGO{Enw^`-ZmC~yy?_dZi%Dy z^m|Xe2dTP}m;oo1tWl}7AhvO;H&F&Utc^*DYU7A`hORdv8qsW`bBKQD824h+9}GuW zx0J_(Pvs$y{keiP1d`g@J=ZyO5=06s=j9WdPa_cp5mdZI0BH*py> zA!iff5V-r$Vg*GMzfj&s$;b1aueGRoa;K3{#AqjwM_iuuogcU}wn7)wntdjOludI| zk8&e6E3tNKVl>D}hJnyUb;@gnxQ}g!a_=}84AT%Cjmo*KbDDWP0`t6zPs7^2>IQY| zA6u>X*LLU4<8aJlZ8^=SgV_`R^6%(^n=t;eYt1R;LWk>&VXmIgDNdLwzl~dnvGgYs?O90l z5Afui5_U~ptZ~G;xi<3s7(1Y@M#g@Fdrn6`((4-*%z)h)YS=T~5?=f+)9Eb8Nxqsh zaGIxchGdg+enl9KI-nEQ`OMzW+mlg8^ooq$8<8GYkOci;xT+BCxq7vd8PYq|5YVsk zz(0UPb2^B!T|TJ&r*nwNEYcL zp2R%61d>MkOHmx~(e)E?Dug>2tU#BP(t()e%!J_y$4)o;#xS_!oj98qCqt`t z?uo^Y`!sN;;yqVtxAd>vcyNzCM)m6x=^b~{{5#Ytm_KITD-u1nD^aq?O4{FKza(l2 zo@Ji#EPoc)KeJ58+?AnUB$?5s(<;kE{6Roghq~Da)2O5%Dv`Qos!C+Gwe_{t{w0Nr z=1=~N>t7>Uo!AeLE~GDVuj(G}s_&?bkNA!}@mRq?-h2#j@)%Dn!t1PZ{gu=)o?(YQ zt&?Inc|5&D@DwX^iu%x>uuclM!kP)vBNKU)ZD0?vOA9czDAoB%GZJt0w z$=Jw*AH(t*Z#GTO1lf!mtDW(KdN)%{T-x8j4JWZORKs8;0ZEa&l`f((BF=9BWX8lu zr6rVa&&Sx7z;XN_s%6noXOqs%3NrA93CswR(4uu6q~8nU^Bs%6fJV(9f@>S&%>HSQEbZMQ z6NMOc2V88%Fy8k^NbxU%wZ28mF5>{=*)MJ|i4{as1uYx`2=buw@ma(z`VZR4-TB8; z7N(mpCq*2Nh60=H^@z6hd$`%}A2f+7ut6BT{58zeHG&Rk|9`|WtfIbuZexN~$ zMtV%7r*PHD%LjoRYz-+YpFobPW-waKs=$w6a!XHe2je>JF{?F!l>Skk5$1_kNs}9K zycz(~PJVyz%?_abc}Asf)tY-Q{`oWDn+oOlA8=!0@pN24h@{U!e}HT9of`gw;tz!F z;d&=wDp-&s!%Qi^1s>=GFc%_woEuwlagjECv_TG#En zpZi3Z#i%=x62k3~x&oR=lC|95vu$MSWuu3>ID(1M=IrK26_h^Kq+hpQab-NLmjeg~ z#B2TQX`gbB<)S{*m=R`7nk7{xv0Ns;FE6gVEKS4Xk+%WY1f&nFR^ta<8eU*IeXRtm z#mFd#fMb8_H->8;6a%c<_|di=I%I^q5A2w^CCGy1Fhw2(T;v_J#Aru2z%hyTA8>42 z^}qqy=m1wxJ;oGT^fU|1NH$LxZe@8gCznEJ&~)>4PWy%9=cJ7tvCED9o{l|woE3eq)v`H#5C= zvR_`KI%fc+=Vf3$uJ}X}2=t$ld$g&Vn>7E+sa3wjw1a$WOs1?BrfXU?`yxB;b%?7x z!s1i0XC6)^l!~LAel#Qf{r(y zG7+@1GP+o~`{2wt4CzDOi$;d$O`W0ZcT1qGs$#IOEs@OJY3&LSp4d3?wI$AL0Jn2f z2uZ9x@zyZG$4cYD$_K_05ST36xv&|;! zjw2`*LU*$Nn69IEN?QCaD4b2xXi@xh$^GUqNwfvTB#;d+kvlOn?fBC-P~>?kKtn{3 zkY#|x97MoC(P^V@cYzi0(MbjL=q+M4xDZp`TV|v49}Vp)1F)r^ywC6qeZgndS%cUc z*%&$Ys@O$>R)u;LvqniOkc_jlEWexTI0HVx23_in^&CKD`Vd)W^=d2YvYppnyv4mR zUwK?MtiZ$3)O%xpmCm@dpojAPnPH#Dx7%EOZ_g~zIqJlEY!Z{_v#7LkG@F($HnOWu zp^#ILsLsU56qGKYjUB8ept40<82|rYWpmwo9e4z2`A8~6%7^R)LEORF_7bzK-2}$1|d8cf@9y%B& zL8Ir~uQtJf5a_%uaLgkSlP8#EX#Nner>HHSIY}9kDc~qP1cKaqfUAb!6Q1o)HX*d1vGSY0{9v$Q&a@Zyi6S7KBhPk?rjaZhlS)r<5@sRbB=6 z!`~>W1th+|gQ81o;BM8iwOR;J>-yY#q!}yU?w2(>AOAh}v<6)APNeLrzyV(OSf%4# zE33-`fTj8+O+mDqMvGqej)=!y|L@cbo=XqH=_0HTbxV6wGa4p08a@dX8oeU$`*U?G zi#}>r*wg&u$-ych_o`YwK|Pm)pkwUou=ku^DdABz|R3o{+JClm-u!UO_1>^S>d z6n2C3g2lBRD|WZ@1=l)t>cgLRgu703dt}%eJ^asz=Ok&|0gp4P0^c}2r$0Z$U$SRi zJ_F(%#~9?LIs{s%fm1}>A+(EC+}bA_qqXo#!N7-^>FKWocMkeYa>RjSMp$?zBrGf} zVdBgcTD`KxFVLl0N6%V{K_^=B`IBCU!tMXLTY}%T6*a(QP%q{%qp~aMal^u_1le>$s;Vj&5Hgi8U~pN`|Po*T8){> zmMa`H3>P8!Mu|2)8P0HCu6dDIB|?(xqeOscH?XQ9^N zyOth6SG1sE(5qs_0p&%H=lxHgK2?Mz3jKY;lXS?#B{cqGDO5|*F|H+hdDNH+1M`C< zwL+3mnPE|!kMTf9csG_^UXW*nv**xxP>fyA(VY3 zlBMv1yn!?aVzE;`zb`Tw)Yb4Z72o!kcb*70AgI+6WZtjCy+nxm&N|t#RmErWQ6nPs zggZ3p1>bR-S04y{SvuW9!!TlJTKJ62#Whb$0dCICE+Ho7i?Fd~4mGkA?|>3$#=(<| z*4x`1tB-vTbXQJ~PeCk-f{vhCFZd+h0{^uZURU+&Ja_-(vW@vfR9D~S3k0GKC2%Uj zV(pAnwpZH492g5MIN2zGIT!EE_-!pI;{DC$<0=4t+l`@tc0~WrFqwKWmhD81h1Z9$ zo^m?_EikIjl2r8q@S(~*H7!m2pnqcc3++hf^ILC3f8yTKxu>(Cixr+%ZlPQ2(Ohw^RV~M z9fcu={Eo4VMw8^<%`B!xEy?8C`TD6!x#1-+QDe!@JO^{!7N#rnu%zCq?=-v7$*5il z9}*oj!MKvhmMV4oFu5HPWtT7AjYzVkAy`E%yfL+u=!Q-GOW6Pn2qk|vGca@gT>~m) zL%d-vMG}oZj`2B(U*pw-xmCV;Ly`DB7XQre9Mrz+HScM8J80-m+0wGJeBFSknC#5VpTFe$CetWCnXq+0#>V&t>I| zPka^{?0|2xFCqIGxe-^?!01prrKmD)u<3;?=kGtJrfNT?@&M&uy`j77>|!#|WvHS2 zFQHuh=M-@VIN-#XPH_n9PM7di#HldWdZDTx;*^*K*E79YMNaFsJnZZSgNx(v*AA|t zEkc6=6QLp4xkZTr%E!EQ!&Nu^{ofYEqEj1q8*y}xFMQcvD7?}GklRwRT z1fsdk?$?(o%=|llx)8V>=^T*C;0_YdRHuLeaY2Ua$#B*L=PM73I_vN%*sWJl!Jedr zZe{%WG_}X9LTu!$eD?~vOaqTZH5m*TiAYE?Hf~>q3@I(U;4eEMpZBK^7#fQ-zaWY= zq86ls7W{*>%Hah`#=DiF8$wNgFX8y)`V^xX;JGxg`@nq7AD1?p9lpr&D(Go6>_!Ga z47SJtU*qk)(o0U!A?JH+5de=F1vGQ!!if^(j8-rZ*kaH-v&uL*m6-kpQh1fg9aBsK zY&(pNH5y)C-d<`PYLg$6@K^BseUg#RgGD3=i5|gND*$$~e+2H_RWqKJVIlWb^Wt-$ zm16;s1-Ep;JQ%lQicw1jUyU`T0XB>Q@P9A9LR5^j< za9Lt{BeeP|wo1+bsxMK*n{grG;gi&K*3&B7#O2n*w6L|E7zEvqw<_#EQDmE8%5x)Yz=*=aB@O}jr3Db{(#ui+ zz-^?Ht3*rJd+0vsI%0~A9=N#?vfr~~MRuUf9(hJHIj;S@eV~uIZCD23;AyD^-a%-L z&ZIsp`Nx;E#kR+bzoKc3s3&}B3=^G+Im!#MK3-R}xu4|9qbT2f0cFIh2qvvIc_oDu z)Td91kA`%(C^?VsKY3Bu_kz7|dY8Zusrhn=wB&9hpWyTWd$l;deL|1GMpLlpS_Gl*PYv6LYgfa=j&JGs9~x#j4D_6MiAXr(!b8HlEEM9y464CJ zXF||~qPUT=cSZhQ9DL*nJwzbM5LIMHZmTqSTmiDs=>G6I=f~8Ab6-ugN_VW$VOHgd z;S_tECNfhe2j}?oU~oeZ&$ZT{h8*o1sDaB;EZz}OQKUDfct463cit}A9A+B#NOC=i zbjQEgj{KOMMqnL;yHB_v#{9_ZVoEd2B=(?*Nzpihk|+`Vzg1TS+)Io6^&;eWHWCze ziYnXKjaS{gq?asD;WKlktGSM@MZoOd1qy{wkpYJJB)b241D(Ps25_Ehlq9Vlt}YY> z=nwItfD~qk*qm&`FdLoO++8#Jbz~`#WP$wC1pDafo;?DNV_)_GMzG2vw9PtVXob)T zLNg3n=fl|!ozTut+b7)!@@F4Jp;W)5d+!BYUnq^C-dX?4QYnvWGueeW$T%|vmgH6= zd19+3D?XmQx)DVal9WXG%GCU{PY79s!;DPxR_Fy@Hr4bFp{2iXj3Ew90+GA9;RtL`YnJ3eMDl6n8Si`$^Ang-9NXz<&VJvuxv0pU(Q2|XE# z5P9V$ic{b&IC`w%f`Uh7Q3xY_Qva^2ovb6Dm%XIqA~v-lsZU7>&t*Q_gfXDcE2rMW zxeVPTGC5%z&wPvhJfZ>eqX~dI0K?H`tK~+WyUcYD_(YeKpQdwTW9q=F78aaZMjo3j z^i~e1+Z421DQf6*%M+Y)H=RejT7sXFjkDZ^#3I@tB|7ezHgJg<=X>oW!Rz_O-Px7?@Y65*&?+=R}Trj`KcEs2qyHN@}G`)QNTJqVn z^Bv#aJp@No+f+t}kWHz8)yG+4sYkbX{I6%qhHAJ2b_Iu_9%l=Ap-CY?75_Js-T@{MScZL<-Z=H)2z(tN`5 zzUQAaObD(K7fx{H49F^%zrJwky7xwyoEyb_kt>S7hV{M$ayooOaaD8G<-uTq4&(xa z8xe^hay(nK^UBU@_ys+G?DTMZLGN6C3)Lc+)_ZtyJg58(H~w05(RP0O*w)K`*~zTsnvwYWi@u~0^jO|jKhj87~;wTl#mVufRV{(LxN@& zSnphHq)b2pb><>?jO&8dir|Ov`T7-ikG(iGu}DU5*F5w<`yT6l@1Xws1qQ_*^GeEPvr~QB=86)44j%Ba%Z;;GEwjA{6qD zt=BfUkVyYL9WrIQK&B}T0u0mdNoO9%!6$Ud0~$&Nz`7arl?Ha+ty7j4aeWah4-ncsSW5I$$8H} z^r`L+qZ`DjHkSJl?84iG&5^9p>kIv|pps*Nk}4GNZ`?+@w_lb05!O@e_K$97OoCUs z7>jK5D5=oBn+?rS0Tp2Z8prYMEdBuLsJep2VsGY~PoF=F^WvsSHk?HPLns>FZluql zTR{z0l~ETc1h$jab400y05bP$ayBN0Okji>sP`rm4JgFxvPS|r1xBfQ4@`J+4?gSx zS4b9k-Odi7aETJISsX2IEPZ^5-v$YO1}sYpJ2rV)?h2qnnHtEYLf!f=b3@guFUmfd z#k=uSb3=0$B6GZ_+_~d~(je%QmBnO}M_;Pn10EjMiwp>fy*hw7Nc0kJ1e=z!&Y;xO zdd;KjWG_A%OJQ%TLJ6+GpN-VC*sn#u;0plg7!FSd3vHx*47*?V^Y*CO2I5CnEzr+s zp+M&qub-z!9g-^IJ?Ki{SAlZz=Pz^?l~3WtNz$^y>hyEqkVShZ8Qjd2lSMIXvRJ%7 zozT0zLmPl-#f&e!9@1^mL->lx2g3YCp@1ybPQ#~2&W(=iLo5R@6&nQbEP%>~VI7G+ zUe>?=z^g~Gsl|V&nYF_sB}KuccJK?lkBp6j@fngA|9vVQDSg&wQXJv*dcPM1SA&vp z=%B+teY!XGI^p=P{`2t~Vnae3P7G$GkHVB~5I8MeS`XkdLaKk(Pcm}s1NYmfp(CD_ zd64}GL7r4_r&}WBi@3!ye5e26dIc<`JJsE{G@J)|f~B-6$O`yyfLHx{^UWI6kuQvO|lCH$Wo z93!l-|L%Jn3oBKEYv3l4G&601m=gW=LHL#>+Mq9IgDKYPogmeJRWUqZYzz`1<@gO@ z0-K&Qs0m0&s}gUDkY5VHQa!~iAfUbY8A@s2u`6*W?I5xO_G*)`#N9Y8+d6&zA+;{1SI&XlS?T&^BN4+*~~ft8Gc82O{s2Nz2aPxT|G7Xztk)=Ukd#FN zK!aJvUGl>F3jEwy11;iM2Q?UA69ZLcP}3+b(;l2a0m$jg_(f$%H`JtJ4^sJ6{h+EyrbdzYB19gcUS^k6!@z}z}sl7 z^pxHYPHPRLzZ#!7woq_NXc!01)c&rBGtaOAM>2BV9IGG~F%rb$!R@RSwdojDi9g$-M{vZJ4mnW4I3TI@}y0CQnNv3#Ele zpq$S$bq`Vo83@Ybh*{O;t}tSx7uJuRBY;PZT$ddEq^)T4aPNp5k5d)71U!KcKOb-* zQ;B34p^<+8)o26qx#JHLU=w1vo|eiPO^Uz?{oWIF9S8%&XtF3Huv9h1EivyFyRr?$ z(nbNP&>e<`tiN?T^(V}}_TR7zD#lq+Qnukr4PEdv`{(42DLvF!?|}Jtfv7kH#jK$7 zpVg`J&h(+)Fdl~-v#24%g8E;SXP-e4Om>;|s!G%kpj$#R$V4`;7QBYAO7zJ8`{bJ0uCq-(9Qx-4031TM|_W8&gipgVps$L}MW47n0ZCe8)f3#V{2&8V|y z``FSE)7~tTxc^4%W~RxX`0g;w=`E5F7ngqWEVbOl~kqw%JM^8^L z1@fvA+=`$MM@gCgJ{4;31_OBLhed|SHDX`!foYw^L#+yXqoLRSKL67ILo`J$sO!Xs zq8#Dc7iqGwWBSMzEB& z*^|xNzy^2U?vU{_QwL=he!qFrM{j2P`}m8QoB>PPXSd@s5?%S~jWTFFetg-m;(EGo zrks1nDqAtb_SI&X?T&Ub9O=~o9lMs{Vlxw11fbnsG~m1Q^#5Et4YC$AWCCF?Vx1PU zYBqEQUpCUsD4}(ogFcV%o5IBUr^ftNxd+#yK7vZO!`H)A3SPAY=6zYAP`O#%ypGp` zCl&C&OXf`=`Xi8f33FEANMBX4c{oZj8yy8-)wys!a_!}oP52#7mk6V0NfF$c!G1F3 zKPA1f;FU(KN=iyxVBLGFTn;G%{+$bIg8Rtfp10&8l{cK5C8;7(LLfi#NVdl>KTQYs zZ>mYSt}UulKJc$D&yVujw4f2>WygP?)SW1bmvt&k`4axdQ6Tah26zTug9>$ZA~KYBE-tc$_3|aJ*#oWu78(l6|Z#X7RG!m5shL; zuwb2V5G+?CHuPl=k^TRl({l<#11rX7I)`{ij?SK8CQQ$ORXwlZijeZ<@eVr;ejM!Q zh2Gkyvth2MjX&2Od+~#C29hlQd#kOec2V4!+>1U>Rf>H&lWucFb0mdsr<$ajw>X5c z>$sHD_w@EItv1cF8b+JS+w;|z>VDbE)d(wfe$ko8PcvLRN6@dYdnl&NRCn)-we2s1 zdKb0et3w>weEG834r=rUV>Y&fcQ7#Fq(XAU!Jw}r{om_vP=S1q)T-2JhLXIn6yjI> zrMai_;`C~UW9&jlEUSc0ah7g|cF(dMr}TGP2JXai%5#tRaQI8?a$RD=o^;1qKmJze z5L~l8WbmfoO-r~&zLxK8OGgH;moE<$Mx5tuaut@Ziqz;_3py;f))qD>zYxjj)i|0V zF&^dc?PHg$*k?htuwHqr?k{iL6kP0d=oo{SI-FSJs;~;={K$K1Z163{a^m&$((0ec z^S;~G%h!{AFPKSGcQ7sPzr&?2sF5ni;6C&0t@B#wC4CgofeUKjeee$7KVZcou!rrq zK+TzE^Z#?hzmSN2U+%O7%EE%rcxlkC%`Uu-x0RMJ-yr;SHJ?Sn3?8Fwf!WzM;l!mu zd;W*9rB16uo*zB>&e3cX*;<;0#LXL*m~^~-GGD`IO^iq+Jr16)@$y21-y2r-g%z3udn5xgDmB-Us3vGtqy%+s82O(VXO z1MOs;NiIL_58Dj_ndSmo9AlErZq~+$g}n`<=@#eoa3=J;>Tq)ZTP0uLx<_lHb&dB$*zs$-0M(Zzd#vP-YL7> zw{=e?`L;7m7342%_-s}(F^Lvh?dagSx2dl@%6}oc+ptrSUJz>Gxs-M&@VM7-cONoUPQC z_3|YDkT^ZEvG{|if)}GMQQ8&>JmtvTG)yaJN8wFkImC^yyeRb{(7aJXu zO5tDZ{2un1>YcmwvSgjjKZd8$ZK5;ZNssKkF{t6N$mZk9$bPo!+8273>L_zeza--7 zShcw4u4zbO6P&ROoh~2ccdA$&bRArqcysr41{AezGz_|lX42($EVVr{EYB}>hQo9h zkWMv@J;yEdd7FL4ppQ1MUZ2HygBfKb6&5Wr zL7x#g6Kb0$D;@nr=?>~G*9NJ7HvTGfm7EYsIVy5(MKRyRXE?cRi;%1PcQ zdj0;RFOfO4048UM2XiG+x9Q=L=V2aAGO4vTB?%Krba^2O#a)AuJXyBckI8mC93hGI!$3L2?z;tuB&Da0C8#&B5l}ii$~)A9A+hbM zZtx|{GXdU#D9QW!q2C|6SQU8m+ZJPn$yhd~Z;RdF7!c+CS2SwC{{HS^a@R>0lGepq zYB}qP{nehw4;k!q8|8%GuqqCP-Ih4~Bb6t2=VIji&lJ5V#*}435>1>w((t`5#uyXp zUt_W1T*(@DEe6V}O-Pk>m^I#`U9RZF;`YyoOby8D`iwGY$gR8<=UTS=R>9Nzeq+*q zPNW3u%{vRr7g4x5PmkVuX@{4%mNsm27d+vxM3YKQsQu+#17(nx1@`(~QtcxpyD1%II)=dhiHYahJwpjO!w;+qYk` zUrmp)GTSmTG6c?1X1A^nY(I=)mcj3GM~OZ!sPW% z7S|=(97g-c(Hh0pa4!ASGf59eX@5y4oW5nNVBWMfNKy8x?Q?T18g@)9$r%IuTqDY1 zoR;Mw*`v*#+xu!tVjFSY2q+Jgz!L`Ob~M8Jrou#5XYi_a0*GC&ZolHxS1%vyJ{?Pz zJ1f98&Es|W1S!#pnO6tn9-7i>nduDvtVp=MHRro+x*+mYocbyz zGV1s)qCFs6RI{K~o*%8M{KKw|WP8As8^5VTh)s5IZ&p2F zd5^;~N^r{{%(ZUBlw3m~z?-NLJkoPge5)2VzL@Ex%l*-8V;@&5{ajuw{$4*U6CH8V z`B3*^UOgJ1w5-h#L6b3=yK}`(xGYT5e7qT=df3Z|zevKZ%P7THjDOMUraAl3j>WUA zn~CZiaV%ER9bv4@on#AY3UYg!Q=VMb?c{lUEcWV!ib~6y#jnRz0*x3oNvB-Q+9Czt z2oASgNkRSj^QQ-xd9i}7`7sRMB~G7BcYc3kHU6HXa=YG=n{>x>cH%ItWpzg3@zV(n zmU~dIzf?$X=6*KN+IE+(wHIG4#4L~^0)YMajJ^M;@6SQ2a=9U7iOL5aWq+RAQRjK( zItQC^N0vuN`RA+VUX#WRbSzDMf(V$=skdAb9VhK%xFs=M_b7I0s6-b^BL5NW}^P+cUaM zg}0<6s<<yfl)%S*F{?0g7Ml1ZlrN(TJ+8)xEbFj5Aqhe9}hsDd9%URUD_y#pB zocNSx(YI%F`HTk#)M9%g=j&g{g>aGNSj|gV$z(HrdQYQRVyH;#WkrMEByX7y^fe5u%yHG7EO!uJKUl#3veZ2QHEri5hR?E*WE)OJpNqYSYT*rRTBI{iW+S`A zu`E%gYVVZ09ICZ^$6u$mMR&IFQPnfm?s?HZ!onS`O7j(Jn^P#F&~e2bQ>X78k(bvI zVY(>!)R2r`r`jp%+|vUk_ffS@9HXlVpNk?xf4G$;vCkd#zVLAsF;rMo-TE7B#6l$3P0z+2n6SHJIjf502# z-QjTDd*SS}hvo3*sigupnU0R9yhepaQ+@?m z8~X}AP8YN>*Uo;Q?b_Em&-2}=!dQbPj&4rld-l<4RrYC%&WAiUvyplNVGnwT^k~Of zj2YuU?*x$={gdlqx6{kI*OD)^WfjasS2B6evaW!sTyQ5x&X%O~rrS+2+r1&urLFD( zCC=n7U$)|UVh89jSt{I(zIrcseXh4{oxqZe^z6okUF(Iz7MUA#FMDIS_e;-Vq26HP zd*Ds0iB}?ODwhD};E$Z1z!9~JpClG{g!)vx(4$sej?vhTV75i>0BshHvhel!J%34~ zDweL~wUH#P=*9Bx#Nkr9=UY}K%<)wN><)?duRKm{i?*B8vE7ZfYllN0GJ> zaiM5FI4!ljN}=kaB|`+;^%F8Yj7>ai_{7Ybie1`LW_vJZ(JUB$g1Vk4M2})YQ-aQQ zK&)rKQ-0VX`ITx;q@d_2nC_@m^Y9P1^{akd;xQjPB>k*fRThV$jPW^(T=DsStl zsQ9L8Hmt6$oMuWge)?EZA|8?U1@y+{c8M`Y18Z{)gvIad1i>LSt==#ZD7c__7d8z9G zvm;Vu-$5(J5Z2OdT%~eN3dc7lv|8IPOi^o=vX04;M;UaNbGYi?TeqLU!)7~rVOUG* z*?JBGuZdmY5{rV+eDm8reIMl?^R~b|B!E`Ta;bmvMe%nc;uA$~3c*~mCXK;7f(>=u zYegv$M&!Qb-RaJg1FLU2|4v6v z`F?SaL9ximnU$_N`KO|@+(mAu&gVEbM=pD%idR?-bs2mTXK5eW=^#bw?;hj%;fl?R zw{X=bgYpb&Sj?`h`s(<9iwQqk&(zeSv%6u^+~m5A_h@NYufmUohewM}KISsCY4Aqg zX-lZ5mjBO=oPS7tg0K}-!?VK&yBO*JIX^*l{#Qyz zr3DX*#$cb|T*dBW*6p>u!ie&u*}k!%0ippwV}iHu7(wMTJAmq3d}P~oVlO3*hjHn? ztGOO-m|5eRm2*ZGb?Bqn7sWVs%3qZLp3%em6cIZ3GQ3B>Y;B^5R=y5BtTE~e~GqS%bg0Mi_gm47$UkXet_6 zFdT5**^eY~DBwj0!92bB(>>5M_+S(03sk=U0FO$Tft=u?Jd4nT&B&9fj~6$+anUgv zY26s(ZO6IP5BlP7algaJZ1_gLGPUm0F{JS&f#{nG5f3}lANQkKZ`kLv^lZI5! zv|1RDOZQ`@r4@%hKWTD;q2}-3M?N{~2cNN8zx+}t65sFy#^}rGwcC-g>F`(BU<9{CfW#h!+ZC59~Mh{p?J%?gWf-Rt%P+?#7AL`M5QJOH@8myI`RiyLr< zAxaFQ5SR1r$`65q-xs>94Gq#>PgQpz2fS}B*R}Hk2m9WynZ5iD0}&ymrPnPTpy`j> zdz*vxk2^!KtO%ca{(x8%6LT~>S+~b!bzs%2rm-l4VT^D61-Xv@MV>^EiW}IL44@#- zJ9XmcYy0av*P$;mQxWJRB!ab|i%@#Q@$uuJ&z^v%yngq)W$FVS^(fW9n4ADN=+b)swl|{r#^0XoqT1? zWzcZR-&TGt=v@rTWp};fhU<9U$sHJ+YT?0g`p^3gZj%6f>x7CtqiF3HRCcpKzJGgc zWe-PXv?vBRM~KQ#RsjIy4_m(d=hy^T7_!c-ZqG{AilG+KUVsT%ybbD5vp))+k{M_F zORQcai+quUUhv=54Xf2N3i3Agiue=9flbrH9Lqr3Mqj4;{d>Pk{{0<`h_#RoT@;IU zA;E_75AC1q*3UYB-k;?%SnIDtlqpeD#1Bk1gKRy4mmNOIzkc*!>F_{dZUS_V3_*zW z&B$%1fBTxqw(AP>FB8|a86|4@P#Vgt-t_M7yAQxTsc8rq$?AimdIP2YSC}|S^C6j50Fo80K|j# z$`vI<%@8PCx(+9NmHq(F-QAl2J-3eX@x}2>5d!7|&0~MleT~hUJI(zpdlEaU3%+&w2)1ZLY!*-qfY()8kABah)1=aW@hn26|oi$+3=$q2_ zU*8-WNjOL&37a&E5@~)6OQsoIyY6UcVO} zh65IWc%7|rC_Er{1$3PAs&pBQKuw9`SDP3ku|%DQTBM zuiR`OT*+S|@}iX8*KYhK9RGOW2cUyHaY@4rAyvFrAB6*k!N`Q^I2mZC(a_O7ThKgz z?vDk9^Bp)L-Z|(WXIFAmbyUi-p`l?F1kX(OzW=p%z1Ki;HGLfkglDpSa}?|+0)bqk zli>!csR+PbQzZWJ&oxKj3<2w1&9QZ)+rpmY{>n==OPecesVAi%${O?NufeDoAZuI8 zh#mWJ8q^-A1-~ou7CEjNJA#zCZ+;Nci2iro(82vMT*a5#g7xWf3-8fvmoyS2Y;S`I z64+XPl^fCm)BEJRFoS`7^UuF(V_=JFb{zV~1xF&_K)rTe^@bLv>AvI2M^erWCN3^D z3Ey);41Py`f8xhkzlP_(rpM`opw^zDLKYU8Fu5Z)_ZgnmBxo5IY~(;wW)(&SiNx}~ zbN_e{?mV!;M6H!~Aj1HdMDz{&MP?9i4h3D-29V{V1rk&7Mh@&uo#0acM2h>&pIs^T zzrHrn{nb50XDrK#@fI?kZ)tEeuq(L}B=WNt)&&1L-3T~c8$C8BWR%&nuohI7sAt2u zi#9vJg^2-?-zEfUK7c zQx!alnf`*5VyoDw#8XaNi#G|RRmR-@dnP!Mk`Q1Vv(NG)>rRfc9Yi+H^Eu@9^a4Ms z5j<&`5XI6i`?F$SXDp(muK)35Fn=+Lc#eW*jjbc-gTO8dyt09iK19!2?&>F=Yd;LTZv+PkZ4SuwgAaZXIy)@?NxM8zR!c--3B;QAyZ@^pk+=3 zbgzJ>KoAL$4xx|^XeP@=Q9;I7LPjb~!%GOm82>IC9K@HB(q8%-BEk;jP9V?0>{q$z zQy@h2l3x_2(IX-JBTC|&M}FOg;TtlE2`D|NdWHaROjcDj^aD1bn05UJ=|3LV6UIR5 z)U3}42gF@S6E9P@Oc_xl)+#g&S{#s+c&aW;Qv@4z-hYG;_`PqCMBv4m3o9UJse(U0 zQe)8dN^-WysEH)tlL$e>-5Yp+^mRwC!3nu0Bq3P=#GNkY1eoQ$`3qC((I57Y!338) z3H>8P)|Q}>aWP=Jr`six*;)*)a?-Hq?-v8@v;hX69<^x^0gS>1l-&XfV<)hpr~>LO zor-qPQ=r#Kx5YuhW&Y{jy?Xk{16q8?kKx*kU>#4T~cM3ns zghyPk)%g}KX!|wZLcc<4OSkTyo-KaX{``JH7U@Z?>*l_RNlC`d_e%^WTPqS(Mb1_{ z3d=R0W8|^E^?Z@X{En`NNN1|J$=vPaEd-Wm6j$L)nj!zvo&R#8$t`-AL958{m2UY1 z^{p7Lyhml}){=e_Js;$jBu_5}$LgpX$}~9zQcD&V&Tf}vHVmw^M9*-z)tL_2oF_8x zsn7wWxjxcxaHQPTJBF`##4fW$<$ASeS6N2vFawYMRAQ!%fDRmZ1vY-9WP4i|Tr;}R zV>r0i=}0s=8)i6|H!SbPJ1bSzShOzR;4u_!ID$Zhnch(Egc(~NI1^WLwd}g?51iFn z-E)|GGxoTOZmZGK>*Y+`NbagVkIil=T;tmhOKIcbOKG;lE((5-vni{PyD4y44eJ6g z%y>aLc?*W>d1F_IE?r_nBp{Nld!B+6WFyeAvYtPK(JK20pl0^R)<8WX-mL`6p9^1L zPGtg04m-A@Q_3I{P=xgvVKKf-2D$LQ?leMGf_tzRb}qMyShLK;i%q`>{&XX(yCpi# zRkp7Adg5c&yLXy)SCorA4{FW;>>qsO(?vJ_h!<@vmKR7{G?Oe3XEy}h=q?F76nBku zY7dXIO?kZ68B8y6I6ap*5+JkMEqIt!uifgTn<67zR$z^dJiV3**7`cVY0e}g{`zS8 z=X`y|sy&7a*FSb{vV{v=9~`*GLMM*@>6>wM1(lL~Om+I>)>oR95J(_#oxqK!7f3-Z_8$J_9|@F#-h zSzgYC3)-(dlQWpup7vqvD^tT|I2WN(;(z{SKvO^dHDtACga?EiR3}CtEKAF7F&EDLojr zMQ*Tver#=>?|Yt;PUY3GFpyZ293JlHq--#`MifZ<*TnfmFtT;e6}D$+69!xgWSJwG zi))JPo2sU#VT?XlO~p4pxI8oC@5Zf`)vqZNUPXO3tk^|EU~iI5QS(A^>4-Yrc5eA{9$xLTbKCrllYM5j6^_C?whXP5B8BSfB?V_ipK|XCG9mCR$mLn1x0QxrH-h6@lj@t6a z%kJxtmNmY6T6bwyZ4%L+y$z&DuYHjHum@NG&?XD(ML`L#9)(n&e?FWrk zs_IGCEY||ze~iYpaD4rY?eAkgy|}m>c^m8AI%&?0lNZ((553_(y1%Ba4$^Gg?sQ-> zC@Y5F*X@*!s8cL+I`RRlv+&`E*n{!zv3DjXjz}>&Of)MU74QXoK{T>pRVL*ye(B^9 zsh7q9VMc2g4@YylM=9Vl-qervWT@GzFT{0elw z&Lg*X0M&tGGBl9tU3j`naEn;z75}78f2Fa<2Z21 zbPq%Y;3Kn_mcdb^S?QtDyN3x_!Mn6AVXt#;zPj3R5|j1}5$IMDwv*HWWp6`}@UhcU z&7A?sgfOsU?2lFPaBFfKNJd?fz)mb&k6vy36g}T)a`W7ZK60^bHRRz9Hsr?@7VoM4 z14H)ClWhjs#fxR5xonKvcZh{{M=Qv!nUw_NjmeubT+%Nb3!KW42@Q~#FEs9UVbfy{ zfSY&6I{ibn4pXM)jU2eQ6N&rzrY-l()rYp84}@`?z*rWeYjw-Q1MHZoc}}9FtelI* zvvv14<5LE)WxuvZn4O1dD>gpX5v{s0(+nfriStJTRk2#au3RldyTN@wJYOKmy;MD# zir-lxc@$3B=cdVo!Rz~WngRxyyKx+#@=~_R&t;uE`M43|zWzD$1BcP@71>L1ob#Vx zNZtIL5OB65WCf$UR4DvlN|L1*nCfK3Ir1kc`1;tP0r?{Vxb#u2bHpS zK`hA!u4FUR%CKp`>wI+Kpw)2kb7T?b)rGZP+|oSw7B(~*F?31bFd|iO;QBxu#r0-( z_d>w1qVDc&^>idZIVFKjv+wZ@qyZfW>%l9L8+vBz9;o`T?EHy-_ z%uzMV3`)s>r|)2d|%0NtauLp z$%r-8SfuKP!-5cCJOmaEu_Fo5xaZP+*Bw^m#bo>1+-cB*k$79v0W^^>?#b z*GSX^Oyoa-xebqB4T*Kda#3L0yIzsa`D`9IE1hc1Y5y{EXO;=;F>~RgMklYy_Ue|M zI#rXx+^f|c#3HHx!MJOyreo@5o9nDi6rM8gK;`~?ih#idi1BF!ul>?96W}MOm0J&D z8zx6NpT9ago>|%Bc6>zDk>&ONMVDfgNt^52^ASvSUTv=a0tMTn1+QOqe{H7J@ZDd+ zcGEPzko3YY#%myWQ&WZ^Mmu#z+WB1a0zn@!m*((3!@)kqWl9`0di{kIP_RCp@)M~Hy zyG$w|kCv5@@!5R*R;H_I5h#Oc`I|8!N*fqGs%@KOqz1#=x(G>|S^EmH zqqlqc&dnD7wg>yOGz81CU~g6uy&rQP{}orrzdfM@(B%LB*q;^n|9?yVyc<7?@&Aw9 zl0fQnex0Bs@Fz%N;n79bYjn8i_iPBlet4*Zn4P6wQZ$=^t}ugAa{eL@f**K10FPo~ zd5w^~KR$|pqa8dp4T+Zof+4BrVdk_SxU9rhl{GR5N>wxO0s)7+O<&7maob+{Jc3UE zI{5RiQpWaDwQCv$1CvceWc0(KB^iMTzK8j9+UNK0Vn#u*A0;##y0Mg+`eO(g(J~o{ zR;K>*h>>C#I{VD4=AVZWh6#mMU-*f@Ag(fC3v^Wv9{q)aI#Z8IV~}R9a+SQz$Rl@c zrL~76ODBn`9fzc_sk}%QN2qW=t^1WK^u*qB}u;Llu!ks$iv|rt;S!?J=g|^< zO%?{!lK>yIo~S>g@)Xn)(%3G={sGirVH@BAeEodW(pEc`w;(J=T>{Wk932mU17x8I zMZ?d}&sn@SYeXl4{h_XGoiW8^dhVuys} zpqDOjFOjNE87RK$*;k;XEyHXo=x}+%xXP$Ko*C#ehKH^Iyt7e`eHWoo3>UAUl!g3rOJn zlXmhy&@}>_IQLh#L-{KXl=GSe@P=*Q7>(eh>ZHekvnJA<`C>O{X$`Z&Qqa|;VP%zn zb@d(iRd8If_BC9)8M{oic{wRGrRcS$2!kA>L^0y|=0US+tY98h6j zNG{;4sS~PQqy{t{MA!vTZZ!~-nFKrSK$wO${V2Hmjk=<|JCoj?TcH^&X5))8eAkP? zU2I^t8`yzW%#=~dhap#JDrA06>i&p%$X|ze6Fv>pjEaSihQ%tLT_|y?W%Wa&o2hc| zemceS4f0Bg3f2tw7GN|K_9FaJz*#vf{Vc$faTVm+d|vG&lmG%D*9C)YT5nff0qI62 zgQ_yEr<%|ASJ>wam4RfyK#~>_GTa9<)g)YG_2pV?^t7}M;Q4F_(rSp))6niUi@sYd zQ|m)21u)$?^iYe8@8MTZTa7z+?^^D?ss3;xQL#p3{jX*LiZPz_GNXR_6V;5NtMU8s zSJ2K3?WGUzcHmPOS&lSmCF@H6_#9G$I|46; z^JqYRahiWOi=zVHil;MJvN)ya$**}uHTgwhsG&EbOH=+=XU>Btb+9z{i+ZVM^06`( z7NX4+cL>1ftbx`3LUHO#yEN)PzHDj9Z?g`RI1!%)A+tJ{fzamGLm6 zvc&j4m+_Nk&>ndZ^o{Dzb&FQVnAcvOdwA=ys5#EIgwT)-A_>3H!%-yPjtoTWxNAg*7HZZC$cW*Wx8es_jV@YYwHJ+-O*ZfW+%w)bVkF~{B+0m~UAZQKyDJ8&& zE7v<^SHTkVMfv_Bm>NXD1Wbb27x}G!GU2uA%+k50#2L9>3G!7RrnE0vsg zOj$~wpA&RJ`t2~~hn^kMm|CZhJ;xo(MwV+Ho0S;LC-5^!MBn<=U z;4w51ZajqaS8X+PLY)8_F1|bG&nRfpdePh8zb6>v#VBDgu9u`&eU414WPSY+A_;By zrSxGBP06sDkZevsdN2g!d+*MfdzlF@L3t((!f@jJl&ym;LD?CuP`vVIb*fIY)BZJ_w!|<56g}^};X) z_!;rcz4^2>9O?MQ6bE#TiQkhx&;AQuUq)w^WND2&?IqHdsD11KdO@@5%E@x)hk%)t zGuXKi7pe}?K#9|Totul3VJ|u2viGjbWI#Tbu!9UWsdZv=@frOf-e2J+B$x z=#CQb*6EXT!#)4+?u2aA+oD28{WlkM*?>W}li)NfhKWak%2tPEn`srs);!ww^JAyz zU)1NObIy$p2SATku6Ew>m1bSIbp3(Qwbu#dGU3b&Q1@**^n{qTlW`86islQ#3T|M- z4E?oH9OA(6Lg6Ea<-_kPJVjIlw>*GTF+>8$!g)>;-O~(rcYz4PNpWLH&~85RGoRCW zfH1^;h&!6@%Q7jw^*pyR6yEU8|C;fsbgl)4`?on4k`l)Mh~=13D-TAljn{7{mh93l z!2^QycI@Rvqn?Lfd2@pw1N#$nD!IY2nw{}XT zKLLA|+k{YCUu**OWXD($dyTRa=daQ|YD+ZtIu04*#SP9_Dw<3&#yv<}RK6X0g`+j3hCS1Kn+oUC}H zL8yw6VAD)$%!VOVM)l0gu%`xtzK)qW6=X7PVP^YrpT6PRUvgOw0vKCj*m>>d4Cp(I z?2Tm{TmNvoIz86u-#zd5ldA24!I`y2rkr}%)y%K?!vvnUQyP7^UYYgB#Y(Q*;OcPa zk!%E4K!QD2^vu)K0)dFKg^{ehJV_CSa;haf#_okqXhJ0+9H6o%NAVjW(xybSbrD8+ z5SwXu9{iV${QNh9J18(D4K2L)xh_}3|A{0>=Z6Aius%1FiN1^IOP4Qwf)>BloMK5U ztQa9DtG%djI(OTZ2r${VUH5}(Pe1`mDFkVHfTLdp9d8~ zn9(m&lV>Zy!`la9uX4Vjbk*nLLSzyK9GfP=@u46|%f9P6s%#&yF8hHmd3Qg>OyPQ+ zfLv#cvHke(8}++c=?wJH3ytNIt+6_g8N_k*kLBs}1BVdqbQA36z;K{DWhJdr5Z0wF z27(0Ek!0qr8%TMs2BEVXy0b*(rH2ai6*Tm8S1lL1Bq*b zoT4(DJ@|5Sz3A2DBh43@ihwb|*+=}%p} zjxlq2lNrrO=6kcnG##9mHt{6(s!c<%g4u}Ee#^uC_rSkX#T(CuURDzEza+@&?d?5a z4xLhM9Yje0Ty9Lvwm{T$wVpb_P^N$a<^y}nn<}EAjr|2p&HHDX@nb=v)#H^CBoM-P zg#^g^QbB5TrieROn|B6!dkEoTs9zFtZIU8_Ytbff5I&m(;{SaRsd!}le;sm~<4UuQ z>}u)}XK|Ci5 zRL&a_st+q`>tr>s{1lOjYG`moH`~+q6;?^^ir4@3vG}<6h)YKU;QlQ5B+P*jk<82~ zVtH&NKy+1%B`%iDKmfsL!LCrNt6Umdnf6Sh#H%>M^BC+z%-7GL)%f?B;FQwG8)Ix2 z2GkyxX#{^6MnvbXIfecoxD%BSkXg{WhR^;=9)BLrfg0w4$oL!o=%fEW`!k5v1B#VH z^shqp=bKoG5O4e_jQ-#Q{Hk>SW*z-~&K^rKI={65{?z~YA9q;@jc`=mUp5o`@55tT z0inn-K~n2~Mg-V9PzcwkR{U><-_NUYzXofjvLoU548$L|k^mciL^VpqDfYh)SxW|G z|L`}ZA4Vg;W6#eQ-~|@^=*)wl^M9qxKacw_t@M9f82qQ0JCOKrO6yPjsqpsei_cJ7@UZ>hWKDuJY=})@!a1Mala0L^9lkp*8VT5lAhhXhf{_*g4xqM_B_OZuPdX#%mJ9~%Ny?Fkw|eFm-!Q|L#^ z>)hH5Qla7iq~j$DRC|I!3AikBu)+f9%e{aqh5OZrJJ3ttLsRM80^zhykX*Oy@mKo_ z8{oiwW#wSGC=PLCD3Myimw@Yo$! z^y(v0d_Y5zg{xS|kK=Rf%wB*E`QH9xun?YrOSLmXHWeZ|xj+!LXo$RWHxZ;V>>QEm<#FW3>dO=&nfLE@hc*VVo9)(BAhdruXl}ql?0Fp z4mDz_rAz@zXL9eTtHxkXw1G&0j}o{FdBgWA3W2I71AfM6Y4K;Yd~5plDa7JGbS4sbCY5AOqSX8($#|+8wt$OD>{)|=e!%Q7^x>Hes=p-Vn@OmGBAu*bw_J*bzN0vho4+Z${!$$#FhgEJ zXYrU8kvp3~ui3D=sR<-dW*xmCHZB8MK#?sU5>5Im9c}7;A3&bH3f?DDVB1wxB#tCG z(sFVqq7FLFz?rjn{O^*z9#)?C(WiIr+|gaEe6_GP9w0a{sbNl@X6xVOBtE;zZL6aT zP6-REY3T0a3LTJdHv|Mgd(do%uIlE|n65VIUn9)Ti2j&swHf0NZT{Kfw*nX*eD)a< z8VHV5GPmk{&ktOE42P!Evh=Yk@()jNczp%>Ml+cS+tt^lU%|60#!J zf#BN&!p1F~w!07@T?rN6#ez_E#X$FoCSNG?pOxFrHG=eu3IC(*>^O@IW0Q2P=-F^> zE+#1!|JW-IhFPPB{k%k_WR05v2AeJ}^SD|C;BxlYO@K`5;Ub8C7Ch3doDIaQml;-8%H zLQ7!|a4-|yGN5j4*qu4x1omc|G2PxEyeSQ@M3U`XPbcV_RN+^fPq)2BGPDp7?X3q( zvJIPoR-ld->gDK6a9Pvid@KkCMvN9$fgf7R9r{v2YVM6!oE)0fO+Uml);} z!-nAd72ymjb*mRoN`-6oN&UEWw`@>XF}G+!{Xu&dc_JD5}_nwG!p3PXRV9&L4>XnElbrLlKT9jT`` zvLQSPyyf;$;|Spi?R%Yx4|(}knY6rlPcvs!TTo-eK6-_Iclevf%%;XK z>t9f#$0o#a$69@T?==={K!fZuwcK5iaV5FoJFGtFN2tYvOV2fu=~wLZD@ek?t2|?> z+rcx!S^aAUc7u+f{q#_g&dhu6pGPOm#m9ESc+JT3f#;w+CqK*z$$#R5FMh#>N~QB` z1I%O+f`+=jXevRdD#Fo4gixf(>r&=YH7fpe89iPyv1k_-?QXIZDs=#u) zA`%b#b2t-^^L8#Vt8U-w7i9Mauqb@m*KcoYN#m$o`v@}>ff^%Khr7Ks=!Rk?uPmSh z<^zbFlFgu;_~3?}y}Q^D5X(Y9nN!Q|A?fTKgKC>KhC3Jw7ann-`$?R3cjCHecjatI zA5?e*-(P1*p~5E2<-rbpTzA|kVY($cMF6%4d?|B>WnvcXtMTUhRhKC#-;KzwA0X1$ z6zNlo&l88Ec##v9j0X$paPwV21(PKFE`(1bp$g(_A)kqbm>|>mnN_8?io)T{TE0Up zHjF#tl!c%%=^@-G^TjK@!`)E)rRC2T&5pj7pqPD_lEuPrC*VC!tV)m&@fmmFWZ3ax zPC&aKC^VG^yK^8B>wQ_l|Y^U z>{K$8klqG~OZV|(v@M)7phbDR>*|aO_(W)LU3CJqJ465@i7XOaRJ{WF$SS8 zuzMDv6i}?dHHgFW5rc~rDabiLShm9{K4ZB0V$AK zFp>MkLMMP)Hk|nicbbbcTR5XyV^ZwNpSP3dmOb+F?VNh&PJDtP=33FHsP|3OQh zoH++IH|Zy}ots!=7q>?jb^uHXy@D&4J=|vQgpDbSwE}-V0sPYCQd}sEkU=(0Q1T2m=y&hT;CQ=@a{QAVab|-{8_J zv0DLm9crW#bJcP{bvX4`!~KWC1L0aj%9pIWyYD!7;W14ql@%J= zd6baUpQRbBt06l_K^??4lU=bG4E0NfazCi(1VtFQYMJt_+HE<+p{20U9ESDrB9)!V zH|K~5RC8NG8A5uiVYjy%T!M__Njrx^9kpDp&9pqOcs;vF2;@hLwkPL*?n6Q-I~t)Q z!Q@MLwmv$j`jvRx;L9pfwWO%}q$`H?1pQTyOE6b#OA`Spo0UA5E~}oYc}4fLH3cEY z;~W)M0>S&LK*Ny`Bwjt4=u@vFogn7GBQ*X%R39N@_Knx9>+<-d*&!snjD~%ao@v;Q zuV8;RHnZiIi(rjKRC7BEOcZ)UEPkvEIOb(ap(DznUoNMg-$PHe#xgO-jhY-b|Ka#?zvBo=~IT+L9{ag?4 z*N^|9@_@+^-1jvw0iVq0k4M6MdEofi7jLW)(Y?^n7)jV2iI%FTmnsD5SqQ}^*W-av?w zO$b`LS#${AB5F|lB$3~+yyUzroN|`}*%E&I@qC7LQtHiEqmp#332LgHYeB>bbC0H! z_Q!_$LL7y>Ik33Om@T30#<-4O76cEI77FVy#No1YFBM9WCtz{)Ylp;mv=hZ+Gpzga z9KkK6T?Uo#MsUHs?RWr@_lekmx-<_9+b!zf_v?%Y)Cl!3>qb|9#55e7-qe;?=#UnW z>h*;G&M*!uBiAeLiU|f=7L`iF2|=;RMw|LW-&MjdKR363E_lEz+6WV7D1CLv(32oz z#x`if{}s^PA)SDC$gQ$38vR59t1e-GZ|m{JfZG-nE6X%LPDLn`=-iD*sR*vkVbVIk zCIfj29b`NOC*0N?3G8ToWfz3Y(O9B=-zDnsr7$z-;`>94aKG1Y5by_9Qr$WJ;|_RS zrgLY!2f11p;Pj1fF=0Q;{WuppT}~}A3OPwQVz_+o0FVyb7%p@56gwvj&)DeiFZuUg2MT#2 zX#(YP47UJoeEx;>)^n49%mzYIotg|>>T?RXy4wmd*T=f*j{JV&zi$p~aX8oDWZ&P6 zS^LO^efOI-;IJSt;2H$PS0*~7O9OPyRKvFtQYY?mc8&`Cy23xcoCb&exH3(uO=~F) z*4;CVEkcU?$LbP6Ewc%5%&dXH7@{YJZ(+b86zJb+<5o5M>Yz8By}5G4T zX^bxV7UtCr+jNd|?;c!rSRPH?s1^UV1NN#+U~Cu+MNLz@@Y4wxf5a!1X%+pIkWfOX zP_A#czD1Zzhloz{IIbq%@GeP@ON8+!MANeazk!G*j@pBr$e~bMzafm@&!B+L@FsOY zZ~b&H*Ss8RMd((?TXDv#Cn?SJ${(Ha%={QUKUAS{w$+{98d~;~;Qkp7D9guA!ZMPd zG2=QFeCNd>3s$aGG(hz^6@}wB=fJ0IUM&rJUrirh_NcwC)NeioONWwjH0PR9!hpS( z*y&R;s1B)7$cQu?{g9LdB29sweuCl^aSE{sS&{q&==h|1j=p*Ia{N~jAaofg7fpYe#vR>BX|PGKT3W!H{Nf_^xxit)<&-wOZSx1Kj<@V+ zVDoo(c9ml1zx^J~W51}YSctUC@f`6RZ@HdWg%@uQ~A^7HfboUEO6a?20@TJKRFE;Czsq-f%8^oWQmBQ5Fs$LG!gJglK;(%|- zHi>qzfjMkZc6lIx9ND}@7x^SGD0FsE8vz9IV)N&MosHK_|AEmIOCAG zl=W96riZ&4IwF*A<%WU?q=9=igjSXgUYiKSuJJ%dMHGH72aVLS*xqC2`bzntzC_=^ zuWo&I<1LGdLm&Ydr)m&QUg__bg=G7J;xyahZMwrjfKGhO%(s`{bbYc7&`j zS@e;hpIfRBJ1#^}xmOooqUF$vjz@%V^Qz(3@J2 zg$sF#B<;s8UrEs84hPL^saIDI!uE?dsM0P%HcmCl!q+nBc!$QrfnE__c4T~%gNCv& z3w&2mM^rMU03S63{F(9L_WI1{uxr+tnSOJy+>jL~2$jpn5&mf(QK?bTfg@Ix`w*>K z51=vIYnM$e9FvK5SpPvZ?R{tJ!l@iNN*LLlTUai{VX#S25WWK$RFdmKo6!)_iHAYk z2!W1vMMyiNu0MQ>m`>yrKI41wJ4<-Z!1+l?|d2N93CG zUH0s>V3HE!%MX#%PCcsp*LrXtfjGKKcAgD`t$~7~GaSf4y7F<~tyqcA`4>*~XIJ%$ zz_O4lb!O9Q{ z-6!c8fckCBXxl+8kK9NPcvv(8KOUAPj&A7#VZfdeSILAJDm|d`N(Q^3A?_Q>XW$px z2~#z=awg=ZnCM$|Khrk`vH0<+^S^d&CWjv;5?uzi9AdlT63E8DaP~{^+mq|t0Pd+N z&rdY$uyQjnJF@)DogSTml~}$=T2yq#1KF4HI2`71gx|_JPymM5CncMXTpma~YeWki z){GpDY}3=!x&CPEA`QW5v{_Fk!?u_R$Pklx-{YbGz1ziL8AOYHCsBlpare0bFqsGUlGmu_SUb%e1iq4kK14F?6JR>ULDf`jqKNrxizdc?M#vfM}Td`R+rA9b*$jGxZ z6b&-Ao|$j%obZ)~Mc}bbyL{{3bpH6+rcR4vkx3`w03 z=j%|$d}<>v_w19?;%&C9Oa;lO!b}c1g}77Z$y(E>Z)jvUd#~Oa8$8oZ*%xBKnzMCTUQ}ogYuY5Ovu=(bgexK_8zr2agb$h z?Y}+Ts0@o#&epA&*|Ht09({A+W+?W|o7tP>yL9+l>t~{uc4Jk8`EEXY(Q+x+JA^ib z_gd>SLsNs}H{)((&?tm;_bv)AMKIGIysjWze>imVI!Gm42>kNyHt(+|+2@Hx?qg|9 zo%)O)7sHnY`+oV#w+8yxq0kiRa4>8e6wk7d!#ewN`N)-UT8&|m&Rn(A4IwoTnAt+i zsXgL}N^Pe7o54$Os)qW>DgPtCFE$bhvBsk@tT%9K=Wy!Y0t=xL0y`}fgdF!eX%Mn0 zqA%W&hhrv<;->u3cZ9NN{OhONS)byHaBb6tQ5~YUfFOh*MhLvn9LLY=M4XcR`+=Jv z$xi`U>!cI?ax3qW6igaU0w$suiwuAEm)WF1(`0Dxn-B@L19tN{kq|SLJr8i(I1X!Nk$XI9m`2T+CumGz^`xz5|3}ThM)Jui{3tW@4w~ANB<)p zw&O(BP`9@(;rg8_`E`=F*kHZ)&$%i_vlI0}YX&2h1#A@Sy-iE$XznbzI6kealPv1K zZ!X`iCXZn~h8yX25r~*-Kqk8QlxZ>;GG`R!tpoqsbLy5JzAfgzGHG}86Iu6TiKD9% zrb=Q$8M$EQV4cJjZ2Vy^72rOlLcDYt)F$mRa8(*X^kDog#_eJ`=JpZXe`v8)xrRy~ zCNvFzj35&ZQ_8<3L*GlNUN_4xbx`gCh_J`)iccqV~gCr5+mmLU(2g;p$D zf<_9uooesp&xIo8z#HmO7Pkgqjct#!KicNu!0mg5l^(Zy=i+KoKo+UYX6#; z?zPaS9XAw0ydu?i5axpIUW<0(B6yo0+K*B|Wh8~;e6TZZ{q-N*oV#$*kOBdoERA(+ z3KoH*-XOAvLqke`FAw0oUn!LXa$t(q7+PPnd>kJGlEXoXpQdFF#8xmV3qi`Z+g(op zJpN9&Jmr!Y1f7p0L{@=!A{?49@;KXf`8HFmVn)X~en09vXk`ftV|h6gB?e1W32<*C zxMH()5Qg|x79he-{v3*a_8*Qg3U3$&jJ6;4)wsDW1nR)%agP20G%dBtAEmWrcpfL@ z3j%>~=jvzV$f0ZH(cx?ci^aRlc*lewEKTJxu7g)FEofiaX_MG`tH84OIO7-a(P-SG z5O!{)&MT^f*dz-T)t!fFxCwU~eEwwKQedmdL4uwzM$FGl3Y@R>r zGXg)*?_r>VP`;763zgi^CaiZ{KS_$26~pVe?4B$!g*+PdIL=@@+X+2$BR&{pj|IFf zvMwR8W2%;BG|s(7@Dwx^8KEz3Er@A@JN*wa_PM9u!-TR|>`!e%(*)z8c;+%tM=?nf z@lOCaM7kdr0_UyiQzdKB$v30v5R?* zIhpN`z7s1HuP^3tA?{8reJ|EjBH4UC{!q3 za2Z0#tcLQC(8joJhd9>R-D=QV_@?}7z=?((w0{Gp`D0J4?|u9n$tQ_q24hqNsq|+~ zN{y9^#(dI1$-P}*V%RJ=>j9>mh!1g?JUm~uu#@lt0&1Uj0{0&x4_LWPt+BjE^f_EF za)Ytg=$zwi3xZPTo%~waqlXm0zoSL8jKDUJlbeKeIzwptg8t^{-SD;PHm1{e3K0S{ z;>^1E)*sl>w7~Sp=ldjq1Uih>I2(g?`2Cr|Rw^sbIe^Qrk*>KvB@NC+foK`Y*5 z0pl=aZ02>i@DlZF_B@q;_w9S=T6Vj6&7pmA{S#336lbJ&z5IbTkGi2j3*oKE=fFWzV0=vcP8c7`BBoxA?4B|A z<2;8Y12B#LkAsWudkDyJ`2a7+DN<40DS3Dl%ThiUY@EVy>a@A{UMeaVV zO-gsFDS-qdzsjNSIC&QNw?09(Ez?(qLp(p192RaVbf%l?^(rbJ_Q|8h=->@2 z^|ldsjXNs&!4sEA^$-AUDR?iPtHXcn2kvMp(Rk>$bAZ1PkL&kRr0205&PAv%7No^* z@)KppU@xH+Z@q8SH0+*oxw?t*SVk%;=S-fE*FWMcG`3VVph?%%meC*kb1`(Hp=C~k zTs@}M2 z(Wkfw44fBpqDOyj;3(=qT3M2rzPtp+7r8K(gt$;bFOV+xox|B*Tk$_w9suOag38-^ zSma5WUEIY$cRzSZ3=^V-)ec_Q!nR-tGjELZ9^M6qukp8j-e+9INeZg#)L_d)053bC z|I>i58`xg%{yyIkG$Javf8j#lBjPW4S74*DaJKoXRRpaEX(+X1-un>X{DcOD=FikV zT>~aG!fsmyO=+#Er!T71Y{Y*qe41qg6yW+m~ z{2rfA(_ou8eDyz+*rluEPrutke2sv|T}OG8m1h_?Q9ex0XDIB(@RbMqGz3NH&Sd$i zh((7WZt zN)MhRPx`CB5Db)mz2BnC{xjq`pK*ZXiT3g4{7R8&Hn$m)3l^2I+MOM#bS(IPsJaet zEc>=EBcrl~>=4rWm*kK)Zc^kpS2GE=Wr72pzp`H&8bgy|D?g)(=@qMVRpJX5xl_#eP?Z) z6Ry+p&PC8p$d{P?VJvz=&VYUijEBT4&2jdw3}2LzMMT!@)579k678Oyz`yRmTJ#u= z_%w7rBau`8Q;Gm0I9PSV|M!*aPKe?FfD5JIUp=AtQ|@wn@I)?YcD^#YviUFYZTrw1Sd{wR9G?FGO0z!ONieGBCrEfU50;A%jVc;-5K_w^k02Hf+g~1bQ|cd}-dbFS z`@6j6D}W@(133FRBpCi^^9GqN3%Ng5Vzb!7VqCMDRU^dxDQr(4maXqXu0(Ctn$}~&N+Etb4>&-6nFbe+NBDay77VsYj$`2v zyhJn#@aPy3J1!iE2n(pS3od|)(6xwGjg&6@lF%}rm(jp?ob+tFLwQp0`Td!$ixvm_ z8`^aoyDM67KG2>MCVbTME)cP-!kU|pb%(EVD^E=L^lOT*gJto$9&Wo^a~dp8&afx^ zzD9`sVJ2cyCZ5rCVlwjDjxMztQg%DOx4jQ<3F9q-1bo|tsgsC-NB2oIcx^gCvtaOL zw8F79L&@qMIPwrNg&Vqsjjp$5USQTdf+r)8=Bzsu9h5mzS+Xn$KFF1a9 zdNCpypwOQM8?tMAwMihvXh*{np#?&R=Pk~HE0lG9i4IsyzZsa7zriF3a$)EEEL-ZY z7$Nbka;{OQtBW=h=?gW=Uxgqg05E{-LuCD+j%)|pl3DcJuhZpNrzaa{?+c&x?tW;f z&2Uf_QtY5(pBxjc2zeJ4FL{8E7MVUhkP}&o;jbf0Je_j3KR+@;Ct_oFi3Aab_%6`< zP}2RGxna7eyES^>QW4de(TA%<)axMoJ2cOJa!8|`QvvyxJcV76et6#;kDHH0q)lrsmvihs;i3WOq7pLo_s z#pAW|@2Qa}`;fkhhVxM~Nya`9GAs3-m{6QOb7Dec+;rwD3(fERsIuY~PS-i_7ADH4 zFa8+#bq7jtW@rf}gChBRSjyd&TYn>;YT|+~^w&65S9p=B+CQt@G%}Twa(Nejz<x z9QLiZ09~T8jX)h4@Em2iKF_A%#*_yZLd(HshQD_P#(IL71wa0l$H&2$q07?jthcz^ zpbv=VmZreRu3m{B*xbvNTSw}l@^YGfIrvQe5!RC%oj_4&HP|{&$J*SVV4VRjW0D!8c!RT}S9g1GU3+Xeo6Ng0%rBIupE zm(gpkBvj!xAv~PDN(!i7V=jV-UUKV;<}(M_x}zO2-jz_Pg!tcAfJkUhCyFW+^Zx!^0* z`k=D8I+FVJ2bjG&ONz3JH|M`{0)Ba6c=>ux7aPfgGx>$MA|lktw6i*r? zLD}PmhxeX5ekk4nm!p>Ko>Jnpn=feTABk#Er0@r12HB^3NYm>%YF7xrj}Ll-G>Y_9Ry1`uz!95+NuNK` z?SbCaEIcIQ(u-Vj4MYm(y~f{Cxl|;mqNG2bY>1Hpt(OwW z_HEt1#I~e!{Wkafr{%bXfP9O$?o>cyUfzL}7f+w>Z$9fDRp%ZAi8VTj+&W4iX0$ks z4;QAx`8tv#Af44=)bn-C>`16!TSm8RfB5r;|G<`Xo$89e;TI4GI^eszn3Q`dmnA1C zM`BLzTTuPo9cP!uAg_6lUhjq63;1;(BEFwaBm>IH>t283hp6ZjA$^E>%~x&*CYBv; z=9u}bqt64T&L}V6VfwoK2EOVntl9<&_mvN3?S!+2qkw2hZ0fv@ykl{fLA)!9F{IRT zpkr1hAu9vmd8K4v-6Wpygla)rat@g05JyPvB|Ievfn688c=2Fou}=m-9u^pV`Z|c_ z>Agi4u&3stN4Rn!)T#Lk-L&L-GR%F&04h(otQMM*mYmU5BcP@jd-_{$ zODa`u-{=JRKvQR2#BCFcrCbwaUEFn2bgKj`ANSrU)QeyOEINX9k358|=CX~;%Y!KK zUqqkglRfk=S9qU1-S+FA4M;NqCU_GuqQTu}2Izs`!@%_Cm1f_e$WZ5;>ADYyl-{kZ z_#cg4zg97>ZT*!OHBlp-hP#UQ!6K7{oX*N`xRIErzaSQS2mo;DJ%Az;hGXhqH>#+Zq91TYg;tdf|HL+IllUIPn8;xWVxc!VfoLV8HZirMRZQ*oz z!Q#)0OT7e-VeFH=R1W$Y%l$)8+;!*bQb&N4ocw92m5JF6rrAVMug`VIo?u)-m5S1t z2n#HK&edNHKyU*l>kT^UR+e)ginHN0I=)fnEzf?2)&1_3ICRSf#I3(Oftz^reXQKh z2)QSbOT7AKW5`ukifIf3T0c`7Z4>KkmJm|U7FAx?aEP)SN_Zh7n3UziU>NJ4};mx#gXO4T*#v(U_$!uu3 zXvwz`<)Y>877Z7~)K-mQQ0v*%>}Ng=4eCU+lfYRr%th5qVBdemEyuXp4L2o*9r1O9 zF$BTSYN;Y?1Va`sqP(UBU!Lp1VwP50wVS1@55Hxvy_E`w-H7r4_v zW@F()*V1t>&L;?E64nVqPZ*c6|g8nw3JNDrOz8f{NvLcL&rlX5dIJ#^QmDm>C?{idSg|&sd1T{^wt{NrxjHJ>1Tv;Z-9tpU zUKneiZo~8u)W0#u=kch2Z7DwZ-Y!L76~BJVf^nTMi0L;t@-Ysb2?AF1u#;sbH^OhC zYBv+-7yd0ne2%g29VU$!t;G#}`*p`3gI)wjnpSDz(hVpSW+y@EajlKFzs&0HimHvt zHzar>afIt~AwN!(0eus?U?_e}rW;Ot7|#f=>_j%U0~#HvPfrLop4s{r30sC4i(Yg* z@fOT7<1qj9Fs}C&s4fn!QWmIaQFBUx45RCbk`?x>^#WMG`_L;wBj@FaTm#70Fh@38 zx<7H0W`NpsVhMLG3krvKaxZkNtGz_Vq5+e>Nj>z!!|sno&hDjke5j9I1rB*HG*onrU4LxFN5NVu z0e$>+#5v`ho$DQ+XGE(^Gj=C|HovLQpDeeM{FY6maJziudtD-xXz_J4LOQdAxJ&Bw zS1|3WLSL|jjmgCQSnv(FuVN_6bwDC<3;Vp1*C7mRkjV)$k5E9B2?U8p@+VvYU15Yh2ru6FX^ zj>L#>7S~0AOIL2LTitdw`kKJoxrmWqghnRR$c#=6vONCM&#R)KE#3r~eYSk;+z081 zhrcUSDW~^a-;lliU9~;ycKYeh9TKLTYk#)e^2;lLUwt)HMwLc743u;WtiD5$`*^&Y zTgE?;?nD$4MWe|mlDSvW?~`?Y|IEr6A|jKJ(m+Oi6<_xuqpWn8Y9XAjXWLOaz-A0a}>+Bqo%=O`*|Br$!7GkaB0x1UIOaN=wZ{@Bp+BDm$6q>Yh=i0P<^&Gc^veRpkZd?CyI(?KA!X^M7M?1 z#aYBoWh@;ghHv)Ch|a(I&RSIUPMylw;DImqg*%2_oP6EKuBUA?13ncxS;K?IL$jSP z62lsxIJ#wNS@_d_eL_O(((Ott?(Nm7r83cM;%8O2xN;Gz+;#GDEjK;=pr9nIJb${EduSJB)Yn;|-5b`i_lG)p}+0ls1ccPo(`J?j;Gvp1eG~Dh)hwcV&{bJB)iZou}IjR=**vW?s z4JpPSE#r)(M+7222yqJoB(k!ti ztNCa*&LL}p;!i44bc?)G|MkN&O3v1RTa4 z0s$i8;BQsMlj1U~vue|*suo5gWU-lpn&7+?ETl9mv5yFf zwEbP~ufsuy4ESs4C1$d8driSk34H1!rP&mxOA92`>wM21zTY>GC_guWVZB4U;dtN{|H1)70WSFxRBz`_xC(TF<3X2N5B*s)a>W02JM;Y+np6E!kCyRSdVBaGX`y*1VREBWMy z-eAa4jbi6!KybY@V|5eRgL*yQqep(MA9PgikEe&D#aa|tQnv8Ui}lX&)HF9m2u$;~ z^`W~wQ9|H;Qqm_gu{hFf-hgAna5~>P@TLWz;9L=hSOt70);S)zx_EKgmK5&j3+Y-ax4KdUV3AzvrcJpmr63KNo<09<)?`Mu|rGBgZfx7#Q~ECz91Bp*#CA|y0}^Gm(R@K$w%8|Li&Fl?r7yOKywY(t@S zYsofJ7FKdcj#PInQLbyL{nc}RVQ!Hg7C@hM)Dh>~-#qUA<+&l=P{vh50(jvwT&mnq zixF24&S{gZmfp9qGV|wirQdgW`#7nGD=VxOL}=ok_}{7`-jBflrls{=g*<3mQ6k>K zv(`zpw+SX)qtB;YM47-4_1t@W7hklrzsSf4@w7{+IREpJ>aYNIRhJyQcNaiYgHpaxou8-`aO#9F?#x?_9Ib+5nBKu?Rw{_})4=JR@J zAJ;J2Im6z$Nnuz~+E~*IzYe?8mKaTTEAlZl$uhp~E|jB7qb4YjBNG4A`X|zOZm0r$ zzUE~8#Ak^e%4#jaXyg1dK(H79L0W0-6w30smFJ9Cjoy^6?ULQ8H-G6<$NU;P)FOsR znqv4B!^38E%&M*{Hy(u2=8xZ%kUe^D(x|CMWK?7#c6Rj=Vj)bMuj+*!UfD0!il|{0 ze6~Lq?D<5@$h-r9XzpvDNMj5cJYU?QmY&qOgM{z^6h;1~DN&r_8Gah=ZltipqW13} zQUN6re!RFXk|aX+C9TOKjBl3^24s?tR=(_e1hEY7v~Ek0Q9b=tLF7t7uF%`?_z4id zE~8o=5Du>CW=M7vIp1NRB^=?8ST4l-3Ax;9EJBQ_5&nKdx^C%vU9j)|etoV=ep$Un z1x&AHVWYOd0Nf_CDtO&A4=ynEY*jjmTt8qLa#0zxDKAWK0g1~9A%Dfs{Fl$Z$oJ$( zH|Hb;)6M9z^&b#3)JV6*N7sG3Ux


bY7Zq`q;*e0l{4uk1vs*=5J8cAES*a71E4 zrP-zhe*uv?nj_b_42zIUpeiBsMZxH-n4}Te^H9ek-Lj4s+_?ksVGlkj6Op|QrSsu3 zoa}xpjQH}q5_lEF!XAsAX=OGfP+I7_AKU74OS(hDQiSfwjl18=q`hB{hAqejZZex$ zoq(e#@NBCaes#6S#9KoOnp@@j(*?wNRsU$0p;|n5T_n*fp*gWprV>jo!Q{4N4IP$< z`Faa>@#?y6FS=d+`m+w^Ij%ym6L!L=9phhD?-uH-$&vmjvzj*xkO0FePfo-JD%o9# zeMse}E2h850@!NrkN5tGVnBDf=dP-dO|NZz3}&pto*=?@Xt+a{Hb9r&ue$_x!H+=}6CAwALOo{3K&6j@)i|s9e;kalX-90o}nk zKc-%wh=fXqQ(9EaxbBFS0J`*di@iVRYlh4D@;1eS1PLWNKFc#MKCI1M+G0mAcFq7O z4+8Z+{v}0^@AJ*ga_d{=^0$;9Xl1r1vm@4*o*Z>;L?@u~P-;^4TY2juEm z0Ab(>&rUllX#~KTT#+|Gp-lCE0k@9tFeA$J2?A1G++Nkjp04DNkaHO-x#fgjNNGqL zi`R`kiY^+OsA`{yC_96aQx_ff`jx)#9Y&{I97}O{AooTnzVlw&;R1&lrFX>3-$DPV z9T<#hPzzTXcY4?hZ%R0ri?CUs-Y1OWoxb!04orhkI<7W|j6l4=?>3h|-JmuR5lO74 z$OgiCWL;U$^(PWP;dY&lxcjK?8PBdZlCntR*8_sZ^4Ud`CSOwGi|RlegudywhljK@ zv*N#GmkiBKUk4htp;pb62(I%YVPJctgR0YU`B}tY;_dn82nDwD$!xyI7M!kn|J-fudP0u1-M}=A>Q5lzy)GAwZk3q6fZtZeTuBkSjmg7b1dIAT%{f;Zw;R+FR_?Ul z*T&S+)(L$G2CT(R|D>&tp?#4?_#61CAvDH%QwDD<2uJ62K-@ClWw*L94Cx;O4XE{hn$bVS~fG!gu@vyL~_NGD* zQC2*FQGINX;2MJL-Lm>fvo2rshzkLq*o|uRkzzD!*%e<9^)4=FWM|OaZRK;VUDzZK z7ls1_w_mfHoGAD7qnhrcnpH->$;`cK-vtLpM%Ot&8BU`^d@zxJ#57#nG-l$WznK8 z2=XyRqu@AA^g)D=#5>FGxYs-xyREesEnX=+6Ulj%i(2%z$ABZ94)vl*Na~yR4CE67 z7yYabuzR*JnQsrE1eMPL=6q)dx#?C4jW!cQw(S?JRf{reRR66+6pRfQ1|Bi+P~V=NH4MfS2<|+mtqR5zq!qk(^*u6v7g$tXbvW1W zTUh8TU}4X6BunSsZDY(Sc^zfe?&+=QUq253y+jWiSZ)xf`mC=Lh*Htb75`)1I7avM z=6Ug_%mL%?YvJ>uLb&ZKNI?d>TP{RNUA6x0@NVIn>UMpipNeF2e3Xcm_FGbokJdVf z(EsakH`VXiP9`K)@&KrbcF%;?zkdnNF4~*48#MpeXwlR-hw}JB>>79YRW;{iuoioKI)| zB-fKU1*T$%p%D5!0%h_`xSy6U0B+@6l~WjE8#U5A6%)HzzrX(3XhCJp4Af%*d=m%3hrV)M?l zIaqEmzvgavPa&XX@cSYJ;sUEc?rFus7Ij_faAd&OM9oedgdwuPsAmAIe?9xYBiFwR zfDi??&fXerHaG+qKumEE2T23pcFU-$qECQEC~bUi?E*~2b|Czvfx8Gj~5(^}Ce2 zz97{@(+~?y1BC}N zVi*MC{b)2%rjYCMWtt_D>i~K;2jK9xA3u*Q0hgI;Rm-ScS2YAlAQ3pUf=rV2kZ)Gx zf|rqc?fSB8t|4sjmxx&g|LI*wu_K8g4Xsl8Gp0aw6DbI+WsHH`_^b?0iN4(mA`kRG zqEGKUQ~Z8iY(<1sM#b>S%!a}>msJLN$-$fI75aXqR_gb1#o{!^lB;DNaNb%#Pq7$1 z+En*gZXk#){25iziPwP{vfDZ4@0L{9ha1_5SAnK>rxa)bWpDp7(P4;wGk}8A#5xK| zPX+H9D9bNGr~JO z2l}+04chnx*+(l51zP@%#u;;R@jMxQuHiVAF91zabgH7#iXA94__25d1!U4QN3!HC zUK1OnXcMv%mF*CsTs=C_pD@$+hO%ftkjt4Yu&Xckeozm4&*YuRg*Mig3tUlx1`!*S zhKesBC>K<{!*Tr{7L*}}uxWP~Ce~+U6<=KoJ4k+f^te1Ls=wnQDs&JkBKuPJJHK{K zMiYK8Q=Hx6uix9nIJ~aGpy26I=l{Y$m&9@L?%GR{m}%R+t??IvA5M11Bi%$?S|J=+ zWePBJ_Mrj9yIFC#wfO22h@Wl;xg>T9PE!H}uHvLgR7x3psxCi0>NXTm?2?)J7}kN1 z6S(!W-Ur|q;VixtlOn(`4seX~U3b1eWIwbx4%3rK4sQaQdSOU!1u8b?o=KZ&d&Slt z-);v5slID$He8!`^;qOdOv6cdO6^{?Gh)Tz^$kDti9qf*fo^mC@{en-uih-Qwa&b2 zgm5gPdgT z)YG3PPTy}s$}S?asz*%57c2ZK58x=B0ifnRAVx1Lw>pV~|c63u6O3OvFL~p19_KBp?z62~_c}06aqDwF;-+=(b zit1bY8$<}nQWP+_1{a85haBV_K9<`G%jE<8_FEvpwU-M&(mdTuty*umpls9PFTR?w z;l2vz&+r=*985TArLVvE#_KpM=V7I?;>q}U_2`n@?@@yq=iR*V03GjaRe@TL1EYB) zkOyAC>oc)n1Ptj|(J*RFD@JI^#kJ2Wr2nzBbs_9gX8GWwNA*%afqH*;^G;1F2(84)f4p2rWHc`#LN_9C*xFhePypfwYd*H6+3T~_y zQ*|A#;=05i%rqpJ2I*GszY-AnYzBLaC5U(sR3>+j$YX)Asik8`(WMQ4%y&HeiKwmm zrr}payx~DaCg_my6=4;Wyxv8H%#R-pDGQmS1Rkv@YSikL~I zF(-N)y^GGemeYfcTT6afbro+cdnT&y(Lks-W2S-?70Ux$6Ft5%chj7!I)oY-4%FV= zxfvYp!Ys#(362C)<1`Kg3C%14m%Ip~K%H&2nk-=ZQ{Z^KWXJA`-pr2VbD@7ksPM`Q zzB8^uC2#a=JarJYHdC4EM;Cx6)S=4Da$Yfp;<e z{0MubaOCPmG{yj4`xztkRO^vq`yViR0rA-vx2wIpR`DoVZ3MeYq8etOI6vCI#yh-R zXC__5r1_Q=Jk*8$AN}!fwMK{m|E*SV-tgWkx``E*MIZXWBBfk=nN-=O8AG8ZE~Ka@=-`L1<_X}~Wpmj$dTTm45{Gf| zUy!U++mHSiz7a=i@AYvX`o$7z+|-<)qbuPvvG52kx8McH3+85GIc$Olcj$Ukhv&J5 zLC~YW<0oa&lpPm?98qN8v6%Gp1g87MLXe)PuogiT&?Zg)y}FVRhcvd+1|9cHYDnqY$D#^2qav(95CQQ-0Qmnpb(6G9s%oULWFc;(()3)HV%)$6si zNjdg5ikV#w?-=C%3L_E45XDrfhHbfP>SRbtq;z`}#oBEs;Pc`ye#QOMDW6_eIz*v&p*OKa9^43HGkGD!@Q5_#R7Is*yzUF_Z>nqVl`n~$ZZ_C{= z#QJ+ipyb-tEYCnIWIM8y2svD-pdy`I(e|rtKLY|zk1#|)aB@CW8c(J~aeue=WJODX zEEp-iKw-N*GL(xpmSSakake9d{S6WiEIjKRawI0r?Qu}|z67!dt1q;4LGaqs{1tRZ zDzZN7I_~8_(R-Ydqc2In8i#%;BczD_9 zlI++)h45P8Xg)~T{sFE`-ymwD%39|5N>HyE_EV z)A(_H08l%Zp%-CmHHHwC9aUqb>6Ru7=+QL9Trj24qS8LUdChwFOHN*z`b)BE$NYjV`W)Y|JQCm)}f633tkT*0HNyxMJ~&$(cC*|q5% zb4%@?ZB92xH-1gZUgZK!%VhrmOZi)kpc5+n&rWhA9(A2`tlV?bHcg?e$H>~eAx7yz&$w) z1Qi!pD#g3-A_V4@j34v3Po=0Q+KcMj?Vy+7FkYAw;+jvD3QBa4x!3*Tsq`8>0`gtFOO1qlBK+jRv8b}kc&tGiQz4A-7w9V0DoMx+E~qq`UhhIkg)33&c4>X z{vK{11G(aSC^iI(|q+I&f;<+Ya538K=DF|1A%SSp~>e+~WKF1ynaq(*$2E#$<;1 zD_bf(6kgOMAhm;4HI865HN0`GSD@f_#z`zV1(`m_1nJ3;dMp3`&0OUOu{>q<8sM=wcF0mhHIQ zYl1%S-*ORUVsD)m@6y`2#~&7LnE$pt;{Ld?T?iN57)v=|wxnG|F4<{jLio zc#Q;A@u8-(i}!D4-V6MM;X(DSRe&kHU`tZiL7uER5&x&_mrr64-Y}h7`lzR2ad_Ng z(TN+ux~*l9=?9;SJ>ic2*cX8l7%o2RAjnXAhm6AE@~we~)f(9&@!o|BouU*o5on}d z>W}8fesdg0F{xZzx8&`FPP4fKZ4nC1xkB3rxP`2?-?jfV0Yxx)M+hB1OxQWYO|C!k z*EWPKOK_7-%H04Y10>yNP zROiy9K_#^qH3$+@s95MVIDtqY-iacAcSva?U(s2|C=_{v)6+g{dg;L}50XZ%~v@s91pUP3}1q zKV{eK(kRe}U2yOrL#*!{b}S}s5)C>^UFWZrVtT;&dvBW^N^|&*sBcyx;Tjo`@#QW| z_|!jISf|>(tZK7^RXOXWEUDuo!nW%ELIl*WGek#vmRs&ys`7N@iI7;u$)2N>jV;ob z5;@cMz`*{}`7|2J{YXCRTPv{}SVFPa=O{BX3+~TkZy*!Xkg0A56ayecR6xT!ps(sR ziU&nRKh!LN#dy>r_iRTUc-eqQr$+VO zo5al0f-yFCS|VsTL4@nbGn1kLcuIe(s|0{jVL?1#a`Byy+IdE#SLJI5vFRG-y!z-W z6plP9X?IBu?iH{OFN@#dzwhu18n8}qTVznzd`%L@9W2D*5o%`iGmty{!{^2 zTWjM+fml~)N}--)KqhD`QM6S%UGc$077E=r7(bVB;i+OH(F?-2=)GA=bTrjEI=$)2 zlSDo^<|UOg(j}kY8%#IY9!{?DOLmG>Q#Qm2yQ~ruw_$yph`$OF#CqzO>Axmuxbm)_ zlIYW(+@)~?cXY;qfL-XuA_d?(;UI-j590h8pzK)+tLV8PTUlrQOF}r5Njicu;C+4e zYZ%8UK}JS>4W7WVX=p>4b_?AHZrFX-hnIc6Nc(PJ%83&Q1%V61(vh=zD=Ot?$u;ID zNav*hWM&3ffR@$PEK`^ z$UCUZFE<59ATIt&%0?p6lgw)DhLQED=P#zJUrzm1Di?=m;lA1cr$`x=0IXo@l&G}>Q~C&dJ3W2Fw;OM23MLHGq+A$ zHMRTKh^;v#&lQb{4JVMtTlOvgfR0J}Y99K`I;CVBmBTG^jAx89{M^g60Dd7e(P-QG z@4^2s18S^Xe6;(*J7^WLbKHnZ5I9Q2i$&Xo>4!eD{y9Ceu5s3}?Q?`x=X&yPyOj9{ zg)hG>7y=vjG(JDNy!b8uc^9RjoT!s4ONOH>8y!=W4o|v*g>BT_Hcs2!KC5gIc@8G3 zOY2YlnJ6XmHyRo#cfzb9Tif1Dm}6Eg04%`-aG~R3cvZ-H?wzOU&=7x4{Hwo15JXR+ z$6moN?5GJ0jv?oCYrp&1#p8fx+$iJeR6@Mi$4~e#j0r#d#Ta2OnT`46hq*jpCd@$jyFC=cgzeLqzEcv2Ga zB=c-Oax@O%63#>a4n~A>T8lkByJ|)_8VhmUZWso6EsR0X1(+?8mf;c_ z;-aN}hrW(>fVlaDpf8dNJSU?`rwlIWtS^SKZ1L)HmO+?ma~E^c@BhBKG%Z)mdbz!{ z;G!%Un%t+_r{$THg7$ZIs6I1fsq@AJB<@GMuo*IwpV*S06uKvjj|vid)y+d1Q;9|2 zH9EJKnAB(gjx z_Vhz-k_YP@;TY(VK{1Sn_@h&h^!Oy4W_a)9Euq*y)P4`C=d$y=nY`jAlO}@pc=m#s zudkF>zq}eNR^sel8Y`%Z*!ptvL&Cf)NH_l`f9JA6hwM<6LA7@m6%osq*E2aK32(ea zpT)9?JPPxxot(qBopwX;p1%;44-=5*o41*8zSfKTsc>Ov8LPT6ClbPEFrHBmNU`^F z?bECAblc|s==c`Cj~#4C_6e22XXwk?VBT4)C@0BOe5trOr^wW*Y!LnGVNuT47=sh` zw)MRGl`~0}%2N83Pxb!X*kb~4Z=#0Kmm;u~`)@$)DOn_o5Ceq$f8)b^*s-D2kqX?G ztN{466a01-3b%4J_pn9o3B6%ET+QulqWG8`GqO?}9n{Gv+wr=6wrSC-#C_U+e|}0S zwr1ZkD>jJo#i#$Yh>*4dPZgoyo}Pj18RE=jWW_yTpyaZ|F3mO)uhI9= z%tt+O`L!s**ii0tt&(-^5vvdL!>^3xJf3&oh(ttg2kcIEO6!s&E+e^MZkq(@Tk!sXzNe0RJ(MCMx zSSQokpa`4kk)e4q^{W6iN8{oDvWO#nUWoI^RBYbXpuqdPduZpd0shtk3oR4GAiM@k zb36R!S&-6&?>}+$9mCcatPLIaQXOA171GUSSn4>rG%=KNz zhmN2>KybN3*+ z8Z?ArX20!?|EUp9JJjbG@O#Y-1~XUA9;oNl_a3{pZjb^PUXMv z?(cj2iY%}B%CBX}mJ+8V7=}0sd6s-~5UMTEy8#0?{TwCspA^lrU-d=Idyk!~{u*KB zv4GK63(TQ{p^_FyK)xaa_b3=gG?f1TI~4I71WlX&?-$^A@Q08`vHas}^Xa3o zCUjlQh@C+|?hsak&!zdGl7e>m@|%#^-2W|FShutnK?`&JVx%C(>6s+%iiJd8gP@fj zAp?m9b2Mb|TVf!sd7ZgV=l}nvG-A01TqgGPy>CbxLrxKrS3c^B@CiW7kc7!>?BMw> z|M!u=l%y+>l77+tXJmN5E0n5GAS~ICJcT~!gESv}NhDV$5g`5Nh&%)GZz7@0TPw3u z$XkGO5Giwc9A;$8zCmTt2JJmF6cwSzfsTRy|EWmBlME!_L*_NWiHAk)3pc2Okjp9? zWFc$%LqFn=;Lz8hqF%o?Df|C^R~$7M(k1rrd{55}+9fO`561!ekL8v$0LVMxqK7<; z&%$zn|K3;d=H3MYM$zMtm3JLm6StY^)|vCibO;)&A+|*hv;7_ z`1CwhC79@Q&TeziKl|QO2ocr6Yj!nA6BYV$Kt+Ps(T8;Ot*Lf)vcC0$a>zIuO`B2EPVU2h@na*8K|XJrbsg z;tOE`$lx+FKrw_Ofk|$M!DZJYL^hv~wNU-{Pr)m%BjJ^240AQwW(pO44!Rf*9xZ_}CEPtMQpRL0I% z{N!9$s59C(_$>qF}agN0b*5(0%Zue3|%J!7ats%U93oF#b%42G<BomD0(!QE;o^$l%McyFH44JVXzDdE3yxTT{Lx~q{OBI{63gW#L?B=p z25jJ4r;h7c>5za>;rs>n-#-lR+z8(J=Ak$S`bf2SzL%!{8uMVO#oP+K2l?_*XT31v z5cZF-F|Y|Af6QC0_}_xI+X6_}vLfEjg*4znL<}6-85e-&*Hl<1<8BL%Q|GYh@*GKbbJ!mVo_9&x?P@~_} z_m@fIv*<6vXA9xxK_i?!tz5b^$sFh~}u-n{sL5;j_0+sV{ zs%y?inzYA&`)LT`zM9&BiL7Gam|`rbIasnd+S{;rrNnpL(9nE`#(g2x37$rV*zux@ z1^n;JKGSDYhZzOGT~OnYAa!YtcE6 zn39~-g&+s9&oZw-+Y-LC-5APX(mY>vkwfnrpL1P{PPYF5R$D}TOkk(!0U{*@F&Zo3 zJI1bUbV2Dry~h>`{^#2>9w5Z0EzmvA&_&Hltb=`^n_Ka;`t8A@KIGkcdT{R2l_fLX2x-!RsB#0r&y2StUJrDaT@Y>ml;a4D|d#i(DARNZHTK09!L&Af6 zYZxvJhj|SlT|EoxeDhcPD?u{U3rJM-YSr&AnwM&GF`n7wTW$H%9MP_nbaD*ziDLgf zn&4}?*Nh=lIJM3C7R9#mat&UrY%{-sqmed==S_M}?=C=q=oOhoS9 z>eo=ofRC5?`-^Z9u}G5hh{Yld>tG(swKgCzN)94U?^%|%JyDDnhH}En=wz_GCfc@gr*pz_N&SM}XyqoeUN+*h;2jxA=Rw+E(|9v&GU***yons(9N*#Uca7VuNr z4aITVWKZs7?||N(kIe?sI#gg`x|nnSg0D5rgn|h>KNppz>ZykNN!jvU%l+kFo==vB zbLQm>>LZB$uEt>0%=aX`zldnpD{v6TJ(@sh;LTu!s5|Tzg=LyMl~0BY%1e@!75VeV zO*PfoxC|~KQRv#^=??l-@eq&}UCo zG_pv(!|IADv#FSkSyV7OP(SFnTcfT+>;+eup|<1De~yPo58)5rb( z-@~S6gWkd=*T)}qi37LmS|8-?fV6Ub$xbEf4}L-oAurZF-kv& zc3zV+RgedPNDDOU zs=*Y89JVVpS0#oY9@~sF{rl|1Q;xB*B1eqgx?e@r!GhFp=3B52%XCf66gCPT+NX-D z?ytJk>RF9H$`XBSX@Rbyc&8EqMf+T8ekX0g5cv;Id2u5oeKS)wcEz?mIuDby$X{yM zY(Z}uliA+9?;3OOYYwj-+XxgA@%y1WMb{F4>`Dkv_jB-tSu<1aA-Nve@+W9m1bNb-e zRjqLGs=TMN2m>KhHd;P{x@?G}^<8f<%J#!iQ>BbJ4(*@8zB+7|$BK+S6|YWSLFdMc&8D8$DB(>4P9gN9z}ldP=2uXm{j-9_eZ<3I4O4pDQ9>W_755U?6hpOeJEw6=qDqN9Gghno;1Ka4 zot8*dnNPuCVF9f`QU0-p4NcM82(gX1aAT;${w$)-nsqO4+}rWvmIR{O`q4d?}H#G?lbpJcSC@=R5G0-^~mrq4^-Hsx$UH z@nC2BTrZHBaZ~K3_HW6$iG4NF*fXn}AEj}6?{{W&60kK7LNIji{?yIN-oOTlDjW8( zM}yTKyGYGd3h?IT!aono7YH84>{cm^)?xo=XJF;uhOHsrwA+V1l2-@$xxJ7Aa?hjc z-a}@|^eOF&0j9-^fX!a!_qIn3rGzG~JNAP&q zc0x>97^Pqd&#e^*^C@Dh8+~MxW+|>!{k3G!F8AYx+L9rRudj5_~X9qx$%LFwwZMaO6MO_v&438thPvT5Nu(?ZUg-|o59j}t@o^e zp$ifQGgNqo%o*ys{_tfNWr4{6r*xy)8>8s`E4c2e=Y^& zbfDFP0`sFm8W(C_p}4)1n#i4Frw^uN#6z*9wB7MHn3NK3UQf{e2!{e)L5;f`cDcY^ z{ZB%f@9*FfhukGCzn8brLSd%}ax#Y%C$^6UiOzhUd+Q@*!;qk2Ed;~k73`uzBLA>;rmE0;N73~x`F?+w#m%;et+dS+ zub#1m+hkY*=-K2J+oG&l??^5xPPjC0iuN9@PwCWy7}XPtj1`niX;sfD=?})+_Mdo% z=vbCYao*&N^st8A%_+2dux@YWKNO{k6c;BG>2Fe>8R*z8lbe{6MBzv7%H=gPKW5tifPVqi~p zp^qT<((m&}DU>S4^heKnLa59QzT?A_VPTku727SRrau% z{4#`nmd@EGI3^SI;Z)Ux{EjnsBgBIr>hq0;5)TAdm>qcBRM@xLTVl29ti-W&YTf&J zBd5xf`H?c(9TkqMBYze=m#cZfaNVjNp7`;+N1i{a&RB&Ub<~9)t*o)_)AgV$H-}iN zfAYCZlr0X5iNP^fMz5FQIk`G<;>mqIUmW;oN|WZp(&wr0wwwkE)n`2ZVrFBh!&)NrNN(dm&*GJNe%?P=mGl#KZ* zuSV|$BlfTw>}Itz)74|zDp&=x{^#o&WBR9$gVjDxIcscN@n|dFt#$6FmbTI^DwXaV z*{M9Ht*WWO2BuC5{nX9}T#VDZfa^C zLk|841$ohzunqyO%}_PinE~jVgH+R00)YU*l-b0wP*)z80ifEX|7l01g$3K2g!5N; zM=3IC?JK%NOV!C&NDYme8Q_vqp|Y|bH9$`{18sfWJG5LL>0v{JNXz3_JowP0GVuwf zLU>tSvfj%hr&#yTi5odNMg=cM;Pmp zOs***j~*6zg@A9Ly+CPRbAnz31=lBhyUwKD@W7)wkE4|x7yjrDyNwjInMl&Qj7UxE zb3?%-C#M(bJzIqKGqUpe{~0D%Z%N42v{RAV{-Zicse&KgS%RXg*-v0JP|vN{6-;0G7(dn>&yAn-OWSEPgw_7E`dT217k z$o&o6Ro0ZbRvCr0W;&phb%7sk?E%@Cy(JYs&(Ydp#*#_0fvCoRlT0GGLRQs^w~tQ` zfnw1eNc1$@5cpj!cz$-=vWI86$ouRSZgTfdaKqY#na=hWMg)HOtACryz;ZFSu>sMz zi3I7Q5)le!pS9N?6+l^2TLx!rp|Ee;FRFLM`qJ%i9~bOxC(< z@ch?pLrdS^Ur5`yXt@X|uQ0eRz&X&}E#~zP^|T$;aRGe?g`MmvGgrshi8WEukXX&+B$@>`D?Pv9OG$1~l4Q|iHT+>+)hltgeWgYMHf>FosFf02T z-n0*ujVc2%RlQIw>wB`0QHq5)k%Ztofz>rGrQlB&rXWX550<7Rr$>~S zTYRL9&qlL6lJOARr41?g$6DQ+jfj;Vf@!pP3+IqVM1c5J_nYf?dZTs)uaO{w0xC<< z=W@}7^9@7@4(*hp#ml-Hmm=X0*K2>8pqY$UReU|szGW%=52hNj?99mbFwsy+iE2a- zj2;=lu1X4j{1x+{M-GSo<=*GBBcl!ive8_CTy-PlHu=B3LCC>T-63AIx6%n);J^IbTl|$D=wQy_*n$y)vvTYb!j&M<=tK>8KS^VcV55?$NsX`!2@qW4+5taZ?f=z zeYNlAtc2Qg6|S9o$u+z9>+StsoA>`f?h18za%{+7!z_W?c&#bFDHp?&gKIb^`%rEP z4G~M79?`{D))yC*bQ8QndDsJkW>5FK#vt~cPFpn&FcfA>tc)S}T-?v6NcDDquclyv zwZ3H!WKi!g!KRdh?aSQ%tNHQlK;YqdhJMV@o3YHs`yu@zR?(e(zdm5`nhFK95Bv6{ z$&$@*v40x{w1n;*7WukwDg6Euojtv4?%AF*)(yk-q^d5Uq_~~dD#8fik7vX5Miu#2 zIxhS5XCo29eq#G_eH5xDVaQ_W&kvH@Aa*^^NM%|3uxCVxn1scI-+`fT(}jks)0epg z@C3fMAgf@z^V?~`(Y;GpddiAWU3^Cy0tR*85o;u``&c5Z?kbQJ|1NoQ)Nyh{@I}ZX zTm@dOYQqqmWEp{uqFpo3pAyYr=e4I5OzU9!_{9=~CW?y;X3y;7UK9Ulqqi32pK^^1 z!g8%Vz9(0_tgLgZtIXPIBT8?(V8$V^jW&&qcwKO=(YAO5w*n`#-9gU)gL3eazCtM! z3*gSLuv0h{q6f~o-R^@Rtq+|K+8m+uQ$1KTo2=ffrz}0`8gGKK5z%Lpk0W+Y3zrpJ z$ueS$FXnAgme+qEhCFXw@C(GM5uxf%G4jzy#}FX1!M6iT+`;#jQA^JIT8Q6SgsgW7 z1K-yoZELD$dq!vTqc_YJu>|FhhQ3Ze7B=!EY3=gLEwt$G{S7JE2>J8DKA)$G%-Ty* z0&lAFx&~9G*_nR11tbx#@iNCjj=|5>eWKd#zcyRF z+Abzu7}A?-(=A<+@$+E-#mD)P+j`j)tvGtLjMt^yBH!2kh^$(YqDgWCjc~yB?cQN_ z2Ps4vpul{)J-gGHdW?SO=FWE?ptFPC4-Hi2$9xyv5i`Y6|M??03+V|oT8{lw^+&Vd zml5M`T(=roS2<_t-`md!-h9n-9ZzDC0h-@a-tX#;U%vdOC@a;Y`Qh~%aY=Z0Xvf>F z1Rr9PwWG#uv8(zXHzbL2?{S}<43bUTY95apc6R_(pFPwJcR7S0WZj0QI+s0Xb|}1R z66E79Du5<<9d!3__xj1wog-f7UMf4@CWDlrf{T-KetF63G>DsJqDSndd}p7Zj*KT@ zew(9f2-S_S^S-4w&X?4~7&xnU@BwQBN5dlIj3}8F5uWswho$cF=sHy9bj&nvrY#CI zB^9G9ENCvpI*FA3OGQMzrG5=D+vv?kJZiBRygXYe_@vZ<9EKmDFFB;cKqL?18yn!59C z^>H@XnhexF;lvsXwG=d#n-b16OH%?=w*~Y$ZMtJ%wT3UW)z8#z_7Hj{Y+1xBa{F%5 z$U2aTa)tHn9+jy*BCe91ok~wr9dGO5cXR8&Z{(fQ8~)c<u>Q=sy@i3xxKTz?vUpsgP*ml?N;SkZa?y0qJ)LU literal 84730 zcmeFZcRbbq-#@M*vxtnyEF&^X$R?u5$cS)AGLOx%M`Tno8j{S&<{0 z9v=QI9v%T6(Mj;mPG)5|9v+#hrJS7lZ8

bw@ihOKVd+yj#yAbqIAezthC)YuqNH zc>4HFTMP>u`{OqhdU!K8DIz2AiP-A{5+5qkQX7;%eQ;Ap_Ur)3w})~tgz4RRq-lQQ zr%!w|^NleSGEv?Wo@?GtQ`MN*ovBzS^To;&c*$}suP2i9@P6N3o5*K9Hc$NhlC=h{ z%&~J8c=Yx(MATPpot^O?o969%x;rtlWNtoBR+>xL#}rwF)RC~_-MUsc!xkt&KE{0P zb4=h>cPTvibH900r<%0fc+4Qw+Din^awK+sT&i>N8G1tJ}Zt#h9TZQe`4U1G@6p zX&n>gS(~VT>`8a5R4W@I9qmsu=vv-iZPV5MAz&Bom>QHNaB9r;=lVCUrwBY5hiB;{ zhJp9*H@4vyNm}t}Ek9_%BOP;iK6w2AkC}%OKS<6R-y!Il$km6RQ@P|Qvp@Om$ThL= z?72PNU`5jK_>Y~mR{fS%f4ap}Qm$qE^s*Ykst>ak+USiau|bhk>TC8%@@W&*!22t= zDKuG6Uyit_a3h=8;UgO-pVw!OB7qQEQHu*Y^_dUz19bV`2H~e~jJkJ#Z_sPsm3}b zko-;LPqo9pE|`|JpV)MJd|gETYmD6aT&|}K=k+7VY18zW`QJ_`He~JB@q8jMZnyGX z-e)PfT~x9G1cb?z+Zf7f`LR=;xo_C$V}=;|w9w~LRp ziA=r)YIk9lc4RksY6I`o;U%Asec4P`c=6JxF4-eY!g~?1o=~uATLFvTyxz zy{eyziK?HNoT!J0F+gAQ;>}fK!!SZdb!j&i>6wv9!jho(wr+TfC%QgdZK*lscVUra zYIMxU-c01%>dC!(rh$@ocJ0o1tp%K%=W03o=BodgT0WzcMu%aC&8?e}b9QUVn?l}P zBNZRwN7vS>zE=?ykJj?$v-h&jUv{As4;L~y^*EHVfjQD$HgYv)^9pC3d34`cgijb@+33|8j)Rz;inc0eOP|Iy!2Qi z`XJrNF83k2nujQBgQsNK70)YdYhz=7J(5)X^yg#b+e+70BMT-ztA(7zn+hX}Tso13UeeS4C)>zW{S&?r*b^I^C>fod!EcozcRL})Ms(xGG!fMmnLB5A>W(?c zUVq9@86eM+f9vY2phs*P^3Q%K(6FU^v-)_vFQ}7+Fyg|u+rK4#h7I0Wya4;A{QJc7 z57)G4g%ony+qnoQl142g#E6^a(>?@FvpI|Eh28t$+2*l+(c@TUkV|4~n<3c)dOA|U z+VfXV*ViWHoxObGwTV+cWj0w>&1@dWc5LngMqQCjCeE=tv7zEM)aRdb{<`5sFGXt< zr1PuGP11+H+JB_MbD1As?90<%GRths#8gDl0W$#)Z=5sc92FQP8&r-95Rqqld9#q! z<8$S^J3lyD*!V8kvMpYSXDOy)ru4jh@zt^Ke!u0Ovk~9g`S|eX$)8L=9e$c>aLzE^ ze`2lV!bTgvOzmzgR> zAJFRK8GW4uosL$F8)O@&HzI?Ag35x@6kY_$n^Y;3)%%1x(QgS2cQ{*YUSr~oO#R54 zwvZH;IFwYG)G^cT?CU`ynNSsLC?|chTG2P{d#Cfy-|*+xrY!GSb;Aw2y;>3lvgr)! zA1SaVzi@c!@UlJUX8Wh^F-zjYNh@tD#&*<)uB_%xrewyHxU|YUo+X>^3u$5(8R2m( zj4xZ*;ugfxoSCj(NhNsQaP}(gRab#l0dd4LlrYL`$a+X)s1jv^lJpSsKzcm$5M1Zp z2%AOZ3A_~wX>BykdBFGxX6{XAEa5MHL*n7gQ`DI##fmQGjHO)uZvOU>G+!0WlVbxc z-&h(RM9Mz-0+SnT8y2XyM~#}*3I+{bKqz{IpAEZw&fWgEokIG{%DdU^my;J1auh1- zIqF&Kua2LpPkT|WqRVl>(Z>N-35#})zN+G_!k!9O36DAW(rx0@S2pjsY3ULk{qlZ# z^iS)U`!RirP7G`KYiw)Yldin!H0MLeLW*d3X(ZpKz8&W^*YDOlFuR#QrfYgXr$h|C z(cND!_T3{N@nl1j!JDB<<%3F2GowB#Ct=~*0QW$ai@bOkENqCQTzNCSGRFI@cgp@v z!p<*4vSWGQKX{)telx{2lb(533A2#x5;-SN+~MKWX9x4Lkq*e_07PnCt1CSf;knD)B(4W zueQ9l2}6>D6N`vN7}HxOOC|@so*JB*U9K`D-*RO1y*|uJrSvK8G-Lc(RSQcEP+ScBYTrOFr-C0`qttlEebK0^` zAiPfa?Zj!qiV63X$z@gihkmSn?0z<~VzR`t)UsRt%})fMz@K>D7`$N?7)!(+5EP6g zsr(``NxCDn7cUT=Cu*ElYdPvLNHh2*n886(=i*vZR%=cY48+=nb^lLEnpk4mSEpXHe-FL%@lD;ExJ#8(PdJb`u>OFIb z=JoFeulph=qO{+3@s8f+zR3ScuAt;mb@Q{vzQ~TKm^bD8;jvL~UF9<`G{20Gx4Md` z?{tZNlC9f)r5WCjvXor4-%%wB&XGp#YL_L835U0vFJYkt{If3)i1n$nokOygYE-aYNyZbMipdi4DYe75IP&)aP8 zO4~-%nkmv$zgx41r^oe;;u{g$yum!j+O+4{&*72BB6o%9Z46K=3momKO)>i-JvLW{ zHBb|^_r7<>4BRO0(z&k_X~SvD-+SPuI2KkQZSRxbXIWa{JT(RT31jTa?@EJ9SXsF+ zEEwJm>E?!)Z+=`XD-^M}Gl?@9D)!FyPTBq9GjSk&`XghhkHFr8Cf1e@DCQiWLAQ7A zr5~9x67G+5M0B;azZ>lJxj27I`L%1uXhN({f0uQ)fxFhy^mCI=laR0tMt+H5&l@gD zyN@Qn2lHy`*(SWVpPij~*I{E`(;B-gx;>?7US=MiuqN8$H9WWX(&&2iH3R!<^^w_b zk8Pb2Bl426k}jk5(q6akYZ{unrJE*E`+Nx%lx`DKS$kQu$eV`n>UjJ8$vV2K=O^Sqtg+;>gk(ro=yaH}I_)C(_!r9qgjGy1t)s@dxkk8K1od1fbs3^a{ zRsO42dBF%?CwE(CV>ez~rwfOR9IYd7>SW?*Y42=lXUhVuYy8j-;Vj9<25t1$ze74r z-7Np!$<_&XEO0=6=o9`cd;BY{Vg!ueO_bn=&i)544jGMo7jRmN zM1ub>sY#Jc_Y#7v7w^2KyqXsH4PXZSJN_8_$94D{dYw67boE -a)|ZFyNOw`21| z#1#f>L(ONHK?A8lO+Dt+BD5!r(dakRK6=3^ODMO>^P4~}kJ#_jims-|z z^36HfA}-k3n_ZM=UQ$p}9&C|qp|)D0J%(PiT`ht|HrOBkotcaU8hKYL<@56%^6`bf9N}Y zXRpmOuBA7u#XnM3zbc?`RZNCwj`-2ZDq#8Zqkz};a$|G@v#;0ni8q?F?u?D^|+A_D7$BHry_1Qt`CnBkpU`q zDGyg~TLshK+I=8BI?Zo>mh`5P!7$wFyQD<3{nZV~2%JfZKmlqH8l;rC@&1V|F-PZ; zNi;qt3#)y^ab(m^Qd4xEQu_Tj>khzX2W*B%M|n?6(J5qSL2yKR1M!ddLOg>m12&O! zOrnmDbe)=o#9KZS9F6};L(!SSYbANa**^>@G2k(A+a1>bYP=$f0mU|V=l+t{5p_fq zw}2s3er!ha$2vzsC?vo~Scd3@{|8Ha931laHO+r9-G?mr$P3of@ASYe^5?RYL`1Wc ziP1N3yqb3Qi!$`MWc}$o2X)Yeun${%jCA zvtiltc(}AwtYhP)xZq#UkH%jD<26neoyYB&NCo&2*Jj#-1KDptS(E;t&(ZOODJVLN zWT{}s567#EfiunMC9xbyVh0?5V(BHx;qrdnRA9JatJa+(5E;m*>$s7g#c{h3!qlml z*;hwAxeuuML{ltvxO&?&Aa>Px6dVUhqHC8}(&3bC&PThw01`U+mEwqBpFe}~e%|NV zam!ykL($28S1=gIjJ8qm@oC=^rCx{gS*QT<9N9ES!wXA3XXRGWbEwAZmVIM%9lYYT zH_mLgMCyV#I{kUT98s15|0C}H1>nb@AAq&L1f1vm4>)=Ps3d%(|2KS&REC1?j*Pm< zyNL1sAa_T==!wVHr2hf3Pl$5)(H=-*lvn+T*u)LM=$sxwY8*?VHixXfv!?kwyBXU-OzEAMlO5;}lH%wF9x(}$inm%!a zI@oc4F}o8-oc0R>7(Vqn`bd&=T0lr#FR6}31D)MXcy7l0J8{PW39k&gnaiB@G1cK=Z zpg97(bNpWzqV?HZX$aO-6-`;AFt~yn&teM3HzvNlfaAThKd=u}sCjyvIjI1WaSs_d zGOleW0o;Wxl9X}lD{%ss1yepNe`IZ{!Sp>z4c5cu+dRPV?z!l{Y+oP{B#E8h@k7b^ z2?PIGWUL9pc{mvsIH0DxrW>czVt0X@pTS(4kE{U)pho5RdsW0hw~q?0ZSXum2@`_mtR`ESc42ElyA?ik+RZygOX1-2^k1F6-Kn2(M~L^16K zh-j!L!2A2Hqd{+Efer`prTgKiXnS~ksbWplZ6Z>KTbn=c^Ks+pwhz261dT`L`HdQw zP!*q!Q+gJ455L>5IRZy(gLP&l4z|Z@FQvt5px;v;g-2ZFfMfHF8qBzZCk6lkPzv9? zeRu$wCLn#iszAP@(?G~p^Gb%@ZgW@T*u5quI@nV??`ME<&^=|+(BS2O<=@lry8%g|JnDM%H zyZr)BLH&yuih3rA{4dn8s)=-dYSvX2bXP|VzFOPrV0RXH`Z&>+f+ZNI0;_=P)uoqM zN>eX@u%V%y8#+)#D4?D}CksctD6qedbv|}Hvao|mmph8U;Dse?Ljq%A03s1a-ovp~ zgQ663uv=TtU?(xH9wnAR;6w>*D83B?M8vI&V52%SoMJ>2eV)s$W~vWo zW=5iBGi6ICL9q4)P3({Ayv_UWHK2pjVgM4j3>(;rP5AX8PW-Y7_$t?b+W+z+49d_< z3;IfHwb_M?HcL2~4h z&YyD*=PoykmIB^GdUXYBOa4urJn$FGm#Xq+Qe!qN!s4?lH~U9(efQxB`NRD9h)N*|PMHTRz_-hY zg+Y<3Oglh%lK2DP!=omKe-0p~s=03-*JXa$!=VS}8pvBR_{mCw9vG`nbQfh<6lBzC zpFG4Wl@h=cj|$IOT(BvBoF_Z)hTCGn2i+6z#BM8V|EfS#N`Xc`j_i8lzFK+)Z)*3-chG*dKiJ{M+Y!L_M8AZV4#(sa|*zn*Im~tx2gHg;Q?1Ch(h?Q+}=rgx-`2dpgYrQgnA7ATJcE# zc3+$mVSOQ4x(Ra^sh$Ie7l zEv541c5`A`7;~6`Ay7Bt;@glzB2(wR4cU|o5I|`p7viGRwilmU#Fx(7R&I35MwR~Z zC#^9KX6&Al_@B*=(E9bAGl48Cr&tfxQPO7?vpg_zP~2MPkCHlHRsj^X#`-lGkioe` zy;qPu)c|pKih?DU%RuEbK9^MQFD!TE`V=kBV742iYu>|=eNI)0$Y8b-fZoA$n>U|; z-kPd6Va1sVj-e&Wi%UE&p6Pw?(V`*?soSwRLYuK~aEXJn0t+1$Dk7sYe&UY^QLi*f?Zwt>7`9!Q3QXpMF z*Xan!E+P}qp{*K%%eq2I&O80MGCE(-YU`|5y4E6Idr#j+JDM{c{w{Y0Se#U1UiAoo zA{Ms+$nwd6P!5H97mJGk9QaLK6Ogy&R z`>43#)}OvM)J_hB*;+}yCjJe{AzX764`&kcqr`4Bf zv)3dXGIADdeqlgf2!ke=0Fa#?l-6r3Xk3P1O<}?8cTUhOAduFuG=sDso?BVd>a!^* z3)6hgK{b6DaN2xhpbH#5u?q^ByRU3u9e|(knbO~{lxt)O89Udz?nGZ@-&?w{cC9ju z0Qh7wXx4h4HZ)5c#4tJiq6loD?MFk~Ync{TV^cEJy{^6Yi%^jpUcF|5S#@i}x5f1DR}0VpMTnHfX!OI5RMpet zis9MW;%0*Z0-L{{Wh@!X{!cc&^N)@cU>!a>*-hIiG-dAM0I)kYzktn^p8z+1Qp6E! z+5j*g1J2>CpDaEL*``hnz!Igd(_gVClmv{!|8Sx%0Bcw!%(_Krj>Daz7T&BUx3$F zU2dx2z(LXJP6cKLf|;b+a4Z3OU_{}?9J#}w@FO=MAhP2jK2ZfoE!OS0(&_p3ymaJS=h7p zAKnB38+FP-6k8N<1RR(kvlTxam?#BUt{yHwxTOhDmTHEE6VLt>DS9Xc=<KX6v$Dj>v^Z1DH0KZ@g+3O^{x=+IS$V)1estj>5#6=x7uLE1E7H~cNk zAEi(jtIq*Gj7EK+f#{kB$-*4}7_RcFP69r<)URGZBnwlaCscwesqRnSfJ&<0X(;vD zX81gDXmCG)b2j!zyUtN|MwUxwW&w$3*^Fc3p|fB~o+?6a2y=i74*|_rxY+663!1xZ zw`yY2wF-MFm4m-V85GNRT?&->Ck4JD|5&C2@BlbW?1Fy+4d?(!MxzE>?i|Or0)n*~ zxQ^x1SMd7zk{=0H-FI+)3dOu^Zo-(ZX1E@qT0>cHIS4Ah^2xWfffM;$M6 zt;3W29XPfX0*e8BFcvsLU?!OZFRrR`5%7tv1gsy(60GldQdRRtXh2ZiO zZi$0S8GuU}j7cy}CGPy`0h64@d&$z?&b_;d<7>U$O#h;&|M4j9KVJBwR+1I(71Ima z-k|ebu9GM(BK)81NPuwX8o2P6>I2~y0vTG~*2C2!ZviJ7#ce(tLOiR%S@b{^oIf_v z25Whqfq~C@@8AIX2?8kZ;2_!`HM#eL52}5|R>naLe*o%cL%$SSa2O#0E}HuB@aMPw zsFQiIdfWho8T}vVumA=2YmRUXa^66i>JYF+(dtphNlzx;Omknt?I@-4hRw?6;Z(=} z$wtII!zUsG9)ba{ffb9wf2}>&0Vg`9_2LXm+dq*Iee3aOJRqH8_U9pq_|*Wk1(wJh z!+DWdfH2jsbjSX85tJffB4`*x(;~T(s3fazU830Q5#`;e8LRZqJZTgZwwe7c;IsZs zN!FxZg~)_FUN?SB>&62-fHu7Ary<8D1J%-N^b_%LY6d__o2C(eMHc4n@!?fHz;CF# zXbfbyRzVmwF=r!kI51Ha$T&`&AdUkYb^qC|cm!&~O%y#pacp%210BmH%t&Te)r%GX za(-Y*OCY(QuL@5eV)-y(Xz8S->P%6!`VtGa7L^?cg0`jv11a;PkCFkXm7!N!wn2bs z-id|*u_3Q}ibHnz^Dl6iFQKuxviVu4&5c*-$4h`X^+2>p3w)?iBzFa(s}0nkddTaP zafdk%K5|_DaF5y_rFXTy>Ffcsa<`wbpFXUDqXua z-lbF1$H}OhVbQd(MKs_w-@%@#dg=eBd5(()1rWfnu40D(NN&%8J)#~tK@Ir@@b?wK zWxBI+{~8cQfYuS8oPjc~L+~Bw$oPzs8G_7}`?93cQvK8cLo17%s*30+m* zNPsS_1$8nAYwN(gZk$-bRsn$L4F(^b_fFRiOhmqYvGNIQ&^XMx0rpEQ033@O^3^#k zKP!ROGLH?MJCGQJbtK59^D7`E2X;t^ z#{%10d;}7UCXJqcoT+&T#yk|GBBr1N0lElY7=Rk^k$~mMWg0GQPyrrp0etB`RGI0>nmbZf6b|Y&sACh?Kq*1j2=M?>GPr zL83@rN+R;u<+Qh;>Y|hB!i9AlXaHTbpBuJ}2Wr4_;G;09&deK7b=R#Az}0jq0u7dF z>jS55S**@FY!RgZh(#6)Mb>~G_+t3%KZVjt&w}s~>{dY<^q}}FR5$SmBJvwlNfRtx zz!8ZCL~e*uBf95HhRJ*}O+%3jQA|~ibX7H(HzOY!9X|yqr5|&=3aS2YkPbGT8+5^; z+8fY@j*Y$fSjGgrs;`K}s?83_I94}`8K4OOJs$6Lx3WBO=tbCkUVYYw?v0rR( zS3f#|APp*e>W~5`$vksBpze$;;LoK0 zLoE{_bM3I{0;K?ce14ey5zHy^`8>JEuWTWgDO1%F422Af{lu3l1g$|KUEB23xvLj{ z#EKSJNrd~csU-Lw>?}9i`3QO~z>P?uGNNV_PdfZL|Jrwd)Q@L25ibE`FX%R5D?Qu* z<63mQ*hKd>!E>_6SKWi2@rjGDP>~TY!C3FjzR^xiwNtrOXsc3CxUDT7upNlW9GwE? zukVg=0&Ah?Mo~Ofnte_~r;16K(aW1-b3k-32M&6DXvy0_tJ) z^P*Hl$&8A~(AhB2$#=`!o%8D zl4(WNsr`};IDV)P{p#9{bC44Md85po`1d((QwNoH#(TLHtBsi{$>mjH%+gg5ZzWVf zHtXEU1nR5Unp}q-)&%@A0KKe z*q6rg%~j|%^7uxOk}qf@)PimlCDeWk?lJV_%`RU=8NXH$CT6hClhw8VLclQTJ{9L$ zL!~BhhRN-h-}00+rtDLF4JrS5sr3)!+6Si?gtL)C;Lhy1cp$J$C(u${QD34jFl#0u zm)^6-wl+bp@NAOWcqrW!Hm~($=2J0tRqn0*?NaSNmCSdWoA}DDmp()k&HVoUx^{i0 zgU8e7*9m5#0`u0z0^jv9MQQZiUeLSX9tT&-baZWsy0}{zcBB{4{ZHRI5mTh=0N0TF zW(|@+A`y_#fk*Q{njrn{E5Hufyi zd(3Bw_k9J>w%`yx6qhwM{o=3bb+QXl!hms@$6w5$Sa(bz*p4F&Sa__M^bNx63x3p-RJb5#{Ye4bVvNB>mj|0>4l z_>DDk#CgtpnYMcSCY_{*^U{a-Ddo%g@)L7K@SLK1Zj;gGH3YN<6!AXjnfUR_1Osq> zW6b{6lBCv}$gGw3h7iiK4n3F4JnXZ(AT{S){nR!hzk$g!U?R$>%JIoFNPXJWjsXU~ zzaj~q+^zxrqkETjKyQDZud;Py+Kj%P(YT!XZsIxbtNAa3bE|}tA~B$Cx!1h#E({2b zQ85c^@r1$QtPOIoT^Zyp<{+!_Y0LbuUO_HfWN zUk0|V+RCe_>mI3^#EN|DHe~Qz`b?wZdw@k?9RTgjF3VX+60>nb6N)PaCew!ftEizJrodIanQ+kk?xY)>(OSZdEVl=;D;5HgKx?D@1 zD^@({*c1pgNzL~v)>=r7wrglT3|*z4EmH2LN$+Runs$vyZVd_=xDFw-$8}%`?OxXr zZ_j$Ld6HTKu&YVtwo9DS`!i~_z4<1djoh_#ed@mD?J24yaLG+wU6W9uhjSr5X|_w1TS&2D&;kv* zq?x+@LXj1AwtK@@-soi|xF&@r->Q(>=+vz3(lHuZL+yT#s#;I6N6)0WR$EVt%r2IW zhfxf@VOzWc0+_rXSDWe>GhYnZ*Pb%o8gdPn9KNL<6=b=@23@`on{)4bg6b<6A=80v zhb}k4eFZE`!bE3Q^ZJAnvSXv1hZAE8zY%Mu-683L`6%>O&Z$<_zBR16nQ5C1QXUh- z7Hp*B1^o4n$3Q4_E;KQKQRM-84!ZxeZ&tCp3hw5RCG7n!$JC;>h}%`jQdQ&n1aG*yszf57)BsZv-O7{>oVaID>1g}Y9buz2_B!eDYLxV@Z0SLxU@b##HI1so zRBB$!$u8+r>SN03<=13kLt3g>S9h344PYw{!?fwtoy{OV6Y_n{`<`(qf)#Z|4x@-k zwB6{^39o!9k8$6q3R{#K5Z{JhOc!6NqpAhKHz?9xXYhg|tuD7Ezv;OO=-vrrsWwg` zETcEA2RG!^d-RhF;-f^F&aaqpu^`;4r>UEbCoW=hKJc2z??Ss9WOw16?7AdkaNblI!z3IT$}Ar|Hv7) znNnGEVr%%Gc3dLzc^xEqkop0Qm zI)+;bz{MWIR)Rm|Ge1&_(*V&f^029IT+oPwxzFW}?t^Ln(XX@zLmRFi^3d-Yv|3ce z_+64|&JCLHrqssv*=cL@q-U{R0qg_hIs#7z?wx>0f`}rWJpz$l2riNZPphWwGmqDY zlIj>Z+{BCq8HrGK4mq_-8UuqHJ~R&bp=K7o_x9`Uios4TqMRt%2ZdyLtx~&Mj4{_NHFPagB0Y|$r@Yn6r0l)eihuLw+1%V6qg6Jl=d=%h&uu-)<-+>|1H1ra#*!$^ZJnbJ65UFD%l3m!}Z~RqT ziefUx_uFGy>5UZHnwWy&O3&3+e(4K?4o$m8cbDQzH_`e5wbknfaSx{A&Eo~YeNE2y zCF{$PsHlatt;i@&ZKTO6X=^}~p%=#wFB64{R2rvdNmpHq(XX}3)b~y?>)Ng5)oIl3 z{>a+8`ABG{jI;K2_&&SDPHS)tU~_p@Rk^*cdnkejLv!ExyKK~R+xIK=FI?>&tbKKe z2@rKM(`go+SDp$)bdRhKt&~lYH1Sm{b&2MP{X*vAF0mvE0u_&IH`f8R8^50<00Yg@ zf@!Okg~0jmm!ESnxm-T~iIrqkYV~EfGkM^&FTUcJUU1v2N3eVMJIGsUTzZXz<3A`o zK>>@)8JX+2dAV)rd%Wl3x%x0hh9vuCKSCxVfDtpd%|7$pxUMbJm$ESDwJ^($%xV{O zAio!Dtmk4`WZqiU?qU}HoA&0*^zNWS({9!5WE3aNKIk%@GFnoNzOA#puGJj!&U4Yd z#tM#PJ}rj+5kK;J&UaNL4DGf(@T99+u@6%*oSUo;ud{-)zuy{ul}(2 z>?x|-pVVLSPM%8c-m&jpd(0oWA-#9ttAH4OT+BbM}r**XkK$r#vb0BQ?f=2S!ai&kO%5YfoFR!sOJ}%K27!e_r!o9(3v1uklliI}>y{@4?b&ATBYU&JvQKXZ{f)el(>PmhR{;27a$!-u&q}Jq@p{mf-fsXsN zsQ?z~#3zRKg>JuoP6mP>S_R4T^JidA>$krs0LCd4>dg&u^`hJFQ`HREwcgg+eyZI= zVkEk6ZaibExc-BmJKb|z%{9P|u|#pcN73^+!|(6gCM_i5KC7R53*x=e?e=4|QcOv? zS;A;22(sUE&0QKlo5Px}e~m2K4yhm-cUZ0eH`A-APP?!VBDr9j;y#Xwz15~7r3_J~ zKxbN*^IbY=AFnRa+x{qvmwF;)>HWVd{c6djB@94vogW-RHtPd2#~``Wq8E#i!%rNl zt9y3c2Ax339F&KLy`0QSr(CPk&z{{68{~#(>*zSBNuXt}k2;BWZEUpp(HPhz+tkz* z*iMV4q$e(Z%V#Fxmtw|T8jK%1>HcXsNjZQNxeuRD8>w>tF}=K;;3M*lq=;OxT5xN_ z$(E$uw*kfMFD47y^88{1SxPSG0+E;GT_{);Q)0&SkyihKJ5 z&!Eucvef*3%=OEK%MT+*DwMA->C+zAxuI7SYa9r*eN)8Is2QK&xU<58UQ>D7ubP5D zBuRqt8Ot4=(uqC8gyKJ-N+D9oFS58f*4ls-7n85M6>8Zgh^{dyzhGLuW6x0kN* z#N9{+`$3P|@Y>(ESBx^G$KbR<;4PIK7v2 zjCUf37hGE(0JqlFLt_(*t0 z_2q=aAYg*70tYtnS4-?o@cYg%A<^X^tiC68Y4a<;&y{R&=~BC)oG?keRKeA80Yi87 z(XDsDdSga2d+vTlfD8VhoKVUt0U~f#)VQ_tsVpSQ3QA6|FMmE!yV}Ihd;qRT27%kU z1y(-mm!hYG&Q(hDzAmv`e^#}>H6p!-?x{v*^3y-HWpk(@<_zHX-D%2ifS)1(SKi*3 zNZeMZ4ZJNa=6PeD;Ie@82m5J$L~==k=Bbx>(rdqa-Fl{K^+ z2YFKnka?y{Y!)!jIE}yHBGY%65UQmSpFby6)_Qj+EoizwywA5oYRZNAd^>`6FgJc> zjbi9}((aj|2V*~|Hc7+xc3Kuc#8<a!*zOyBXDB#~8miC8tf$Dzr7oiVo z@RjgV+eW`EcUH?qGZ5Irk-MW5`|-ni%zL-!$~Nnbt9F95;%G(e*ATP_Z@pZ!W_nf_ zTK)Qduxp)4#tZMQxn01X()?Msb>iyj*FO8qe?I~1_YmZZU(o|`P#7+D=K;9Ye+m?> zo#wTDHwzMS_H1F8Cz`2uh#71O?>?0}){Dtss@e?#T9%2i*RP-fS9wB1Pa-f|URk@Qts}wHla#vr|s5nmrpC4cc>UA3fj_5Nmtfs1o(2$Vy}`wpzI z0yOCWG$AY32S)pws$ht_r2HuP(%-3^S@pZ*672}W-drXW3^Up|XXk@?i_Cpjg(>Qn zc!DY!iKnU(cQAOm*!F%szv-PE6vecgqo=m+OK&PrdaGLf`Wh_U$9LX$azk4XAEABm zB$P8gmiYio_>CPK>~kb>Tom44H$FA-!O=fk#pbf1oJ*uq^*(glt4MIEyURj-t3X+m zRJwX^Ju^hl`dLaXxt&|KRR!jAa`+$v2UETiL|KQgv$-zfH=$?P#JSF!F$zY0m1BgQ zT2l8#%s2HV5!Y6KN0_t{i_g2rw7#j`G7!HLy=TxmXO>`? zi1Oz~A!rf;w$W)l=+3^+ipr=16*KYavLaO|Rw>;c3xPA*hB$z$r31Yd>aGK!Q9;Z; zC1SeqaAa9cWQhcG(uf_yv_nr$Pr#b0WZ~=^P+m`iA2@m2{)}){?}2sl@T-ydZZ{)F z7e@@4nU>J_zr^jThrBJ?s@pd(+x5PItfUp5B{R=pA{lOlb7s{0%nkvAT4t==872gOt9Nv7`RydjqXZJ!2P@O(z5r)pL_7ZCgu zJuoBATe-C}MvM%echg|bp1S)d80sMvo2{X$<@eF^rV6CKM^D{SwOX~p3v*nF7T+TObM1ehAk>M0m~6L;HiTJ2s_0) zL37noQ2E0K;-F?3xD4vXf!|+q23vNd27ZtWzGusw->IP-cuHhY0BSXiK4JF4%z3kO zNq11ai=XyfWSeIldS>L9z4RKTRcblR4c95gkVEmn61+jKhovO(I7k83Y%5k!tlD z8&8p={972|L3D_6%?LB9T&;45|Fq=dVBS7v_s)cAPA*Bf?!<}F@+cip2J;M6WUdnV z5x;Myn?F}E4gdN?a&yQyy0^SLet8IUnt9M|;7e-BZ-6f4VwHACdFeoU-cZ;d2=xx| z{JKFazUW@{Y{uqxtt(OZ{=z}8X0=zpZ(yj@C*`jEX-x|#b6OrS+W$DKdre@`DJ@`V zQ|eP|KFAm@@k=qZh^;(EK3>ch7_a>Nsr>1M@MbRh-b8|i` zef(bHUe@8Y-26+GYpIPY+^F!41JBML-?QMm9$SayBBwf1tLRRTz=z_0*}VK36nG}f zhvkK?X-;03Y61zA^mWBLi1X8$HG3sn?J19-EqmQU!nH$7YJmr2L`_2vaJE5rGBy`- zcn)t~@Ty3Qhf$x@Yf=i`iM^&dvt&tKBnEbFj2YY~qaGq0(19i%JY z1Q`U;oK2xhSN;hX*rf{aWKEabSvrL;#_KZ`4VZ(eyhi%DK!PAXErcP@>A$|DLS_ow zf)Y#XLB7Ej&kEmwlc)4+>*TlV=!A<~G%b&5*!{XdM$h7Lvw9S$mKIhxeW&! zUq*tbQ|b4m{b=Ku1MO&yFyR6{gHDS4JmDjQ&i6~VfAG6h&##G)2uq{ZhK)CbM2Pq$ zwjPx(g~inTzTLVmnzsA3f6neqmBS)Gga^;MwC*fXyO~iQ?b&#cYBVyMB#So`*UG8) zoQ64{0@$=L0@&Q$?2g3VvG98f?mHDZ?^@Ad>XOL=o+-``u5J8y&w1MM!Bjh8@RKkp z!OiRnkhliXH+Y#9^s04zr4j!8YnYIcd9$~ADeY9UT7kDu!l@hULIWSex!NRVDq`ev zA{JsAygtoo`nZyzyqp_)L8NTbwx&0V59(^pw?iQfF#uFdZ4O65Q5Bw_2Dn3}G!&ou zynL-2UUPFql)GYM@`wCfc1e5pXsKo{a!30Ipdx+S7c*x!`a4$BsdMKc>Cj401gi%PjL$+W4H)I;MSWLv@*7|z^W$}gSTWpr`e zu9Gr)D&Fa60={qr9_6)oeAC$b8so*~we&`=ra(nJF$sC zsquXyXN(yPvvSXiHy!>JnE^fG5C_Pbi#06QfV>?`n+BlSv1Bd|Jhk0{@^R($0NKeG zq%Wz6f&F?{i)XoyJ})|8$mqb$6If-Jd3sRk2VL96d`wi$^Q`Q1o~lb90P=e?Sq#2lA7ioqw|Z~8(pI_oCox- zN~YG+H$nm!UBp?uymDIu*`xH3lkSz|^3@5h2N}U#6_$#>nZ0?pUc*Gt7Qw;)ofYA6 z-Ax)XXOQ-Il=AJ$I7dJ}p_+B(uj$1MjQec+^3M=Vh8MwlWRwwE$YtTnmpc%0PhQSh zpP!6#JxJ|tbz05pFgnezf>xU-nMiepwfd9t_EXqvH%`|(#b-( zK&D?)1V##?lYZ!)ua6|+CU#^ZFUY(mY?J?gd{iojvU7iNGOHF26LH=C=HeN^9)(=u zOE1Ig{|LU=17^G~jBO-|0YVWhqJdb8Nb$`Gv=ge`FNhZ_se`;(lxJ@}m{W((rncF2 zkz~GJ>i~3Wyh06-P6N<&eT8P{OW?Q`a$r3M;V$+=qvHaeDTpi&$)W2+gq*(r;7k1H zMY$O39?5yTV95M_Z0CCoHsb{kO2OOfFJW(d6BR;_oeeVDPJmX^{MA~WOfOzx^v5CY z3q5n*-`0dd=v-uJ0t3%x;rD|_BzrhQow1iuWDn+gY4XJvLl2fRNw4SD#qPa(K{iyXA^nrps48eWYtP5DNxb6*fj zEmJO+ZrODTY5Y=P?o0Xq*n8`+D%+-C7`T@TVh{ofA}vZP2uOp3($W$O5Gm;t=}@FZ z8l(gfWYJR6VIUn!w@67N2uSa_0PpvH_xC){{p@}0{e62M-}{%b);g~_=bZS>oHKJx z&E~B%b6U|UCukw%lD%vDH4u8=utP3fEAe^WV>?lP;{4SWHgO9rV}_$~r}KgK=8a9~r_5GGg4RF`jLECpt^u{ylWmG|J4^_WQQ zG&>K$qF`d7mVWP2XHT)-0}$ak^X&cpyB09Tu{?!`vv@-G8|gYDqPG*xT2HHQe|;RG zZjn7PNtG|syB=co7`-l#RdjsuD_jp#4!TAoJ0OMU7KwyM9E?mr23)A`=8U*)t&aBe z=xWd0NRxHvmUSPE=`)PV)%54s%=A{k*G~RC!HGs~lrs3XG2m#z#YNPaT|Is3Zs7bH=CQrvovF_+fTFdz%uMJ7 z5h;hQ_NRvD?ALhV7RDeHowSHfvMf>@s^;gp2=*#qLQ)<5*J87CAh{ggMF;J@)a^(g z0&jJeak1@fo~&6(0;)bs*@+Rzt%PtzuF62cC9{TD#C}(h8)%2y^$NrbgX%QGybxv? z#&5GGMM;*!8FBj{wuLqarqsB2+(%z40Wf_kXnj?T6!$b=vE%sIr4 zxFd|1O=m_J!H=k8dR)$d%406 zOvH^OsME}O8$^c~yxWMa{&fNKyRG5((4xPNYWjyY`iSi;g6u(&#rgf#m2XH6a$V%e zp%wje6x-jmbn$aS+2r5#xjq5KfRSN6*IvTF0w{t-Fv*jWsKd^{Fz^Fm12Iyb|4X`F zp@XMj#F24{Z*?3;I;D2hs{%8G0hn;ebYKNV2&;QMKqt{7nrwv^U zXuuWS=!!*{7!n1AWvo)Oh*JUspANY)r3qQLtD@+c6w+oXFuufv7W>>l%9sh`qz*aX z4Q4pYCr%6Ial|L~)q)`oC@AJc?Dq+ixFg+w`h&AWs{4i4jR-)}y4kre#g$-^_6H*EOYz|}BYk{AWYUp2Hb^f1 zH7S2YiuK^{$9P6k52Tm_4!3bIf#83A*G^PY&LyWUZs@HuQ)}O!I#~}TjM1q%MMyXb z?D+_r`DkA%d*<&Z_{agpv9Z&+3>cY_&VUU7Y0EZmkw_Jn9!fkJ>^KAWC4!(HnXPfv zI=rbZc2)A%JbP|dR(^jh#bd=;^DpB8uZioCNnpVR=zTi^aFs14PUDcVpMaL9UaSg9 zV!%eq{)f>>IWsBvhoW1rA`V)i_~gJQ-=}n}L@gu5Ut{KE`$rCEATw!%#B;E0NFJBLr}W zZ6jDdru-H6K7ZQZ!5X$ax&XmK{^A{V|F#Y%YMpbKM#fjr7|u@Bvyn2zR1B-fG`83<0-6v?hl^Q ziliJVkq&&M*G|&v9+T$GocL zJLJb*qRaKV2ph&k=Z(0ANFqpFU5gfGpAHMy{``63A|v&C4+4I^}Oj!xAD-M??+x| z_5S38k(mFfRP8@UXqwtzp~xN|s=Q5SnEq^F&~}+BeBFID24*pV_BqJsqLC4Gn#fqn z0JQSH$0sl$_5wU0px^mwOzN<2lFaCio-#r%XQd+P7~s3kkCoF+dXL%Tm@tl_tUZXI-Xmu&F=npCR@ z;zJPT=Xu8;u*9WGpz|lI67>N)JiK76q%Vw@>~eegd9fe;aI`#eG61?9W?sw8gZ_Z7 zH2$SgGwCnd2@B*CAR}LI*dOb0ruv+qUktZ{FFKAm2%aewBGi3Zc;(|7S8Ia5TB>@x*1+(BP%9I}uT2c{yLULSo-d=yQ4e5D(P z1`18#&1_naFW=ZNOXh%h*3i>b3L*6txPoZ%RG&iyH$q+T*#2?FcD&q?FuSNVO3U)x z0#qhveDE$~3Tr+FSB1m_)N~*`l5e8+QIrap$Mh?j`~Ci~nwTCmC7k{oL~AMtl2l<0 znxaNY3LR?(Lf{7CdyoD#Ymx$~4;i1&w1;$);|On$p8i1NdtS*d9Xi0SvcQ;0)w&~a zD;{$ij6dUBQAv=zr+Tb1h&4zD=c#nJ5Qgj&?a#)xgp5|k2gnO5oaM39?s~}i2b9j= zdk6#mGNXE37ArrrzZA>-L_zsyljCdXI%AoGen8bRxOF$t*4z9!efP&++i*+`nk)PC zFVEbZ~m+U2SUS6`5di|IU@8#`u0>T@9_3;t1hPcJ;x;c-J(iU64a$-BF zySmrC@M7%5mg@-bRu<=+qwv8C!li_DaaRm=BP+*8A4%LhjL=I;KMma_DudFIOr=6sDP|sH@I$|n z;SgMUhLxOi{YJbm7K$3nOPfffb0SQr=ZOdw?sx&l1*9rfAyG(QE%t=PB;A@{8No?+ znh<^*F4Inel^Iu)*}j4_q}<#7?0O(3Q0&GZDC!VTtYkLqv#~T-*tjCp?6}l3%gHBX zad4dR#xpUq?JpnA7OxOEI4??YtdMy@UAE2zr}5CG6yc3=;`^|RU)LWTQzVmld=Gw1 zh%Jt$xp3wI5kDRPf`z@ZD|fxkFTdKj!|kSna)ERHkpE%*+_Mr zb3F@1G+kDmG&2=pM(0uaH2w@q*E4@DZ ze5;`I#59$MU7>*^#m5#;ATxdHCE`w8vb9j2>an-WVKpppAC5OPT%wc2-!~k#gMz)G zPCPi^(jvm89C}$?oN40TQoA%3&BA)F+mDW()Ej^xj62~SHVJ>u{>4_SMZJ*fR0=WtARnvEHGI={ki)0zySh> zTEct}_qt~|8Wq;hh)a|r$(5X{W7pVkh~pX{;_=6AJUoyNESzrGc-BjL0@Si^&0C9s zkA82UyOYyWX_AYB?%Cj5Ag<|KZQz(Z(gI-%t%skA;+_DE(1zir#Ev=YxjG!SKkJ8s9_$8IQpvR^^@4uM92`^c=b>EQzLIJv^Jo)Oh3->=l9QF zUfm1^Y1GqkK^GVWMKGx{&1`3B6pUkDJqs}9JT`ehFOpfEZ>%C~(^Ti2;M|)J?{m{X zp{Z-1$OiIpQm(|B+hi(9$`522Z2&tZxbse9D9fv2V=WugqYIsIN_c^&vP+$$bLgt*4k3 zT(+RQer4CbUcHuv5K!AzyRWB7XMsWbST^K1?ia0>8yL%l1dVmd=fJLB=USnE9_nnA z=OZ2$YK!!xc1}mJYBjPy9jF0;3(x@lZh zybe%~l-G*WHw5DXT`C`4t=i0+qS+nY@9ou9NSakSlJz%lgRFc%f6;lBtFvc2w#T3) z^ZjHGi~HU2G^et53r>YALU1saX(o@bP)e`|8N%m23x0g~1bCsu$g%28CGQ_=2t6EY zSkm{S*uq3t0(p_9L>uL5=u4hJ8Y7G2B2|zbV~TQemOCldw|`N=tMn?~zB` z2p`Zn)BJ_f3nLRvJ!U5Xa>2Z;4IT?*A&dq#_=L!f`l~XIq<(4kW6ex8)~i!D24KkU zB?NwaZ(r?kb+nxCFS;wWhBPWA#s;2Wf+@aoLQt@4t<03%daHVQqN!Y(bwy>M!fEAW zRy=t*(gg6O#AfWV!lbSz_NE1xZx^iiAF> z&{5AQF-Y#Y0!dBL(pOIJ`)X_O2X?P+P@v8bUf=xw3au``1Ex6s2!(70C7*o=G*zC7 zE7ExUo<;I5cLA;0T*tlFLjpg#3yc*CX3f+6%Ea|QqmUWNsb)Pn<&Vm?bDbi2exfUS zJNgJ5B(-(yKTG6AKX{h-@Ecy~=1k^TYgd*=hZ8H$0_r5VmPXX>>d?hd^ySm{M95Ly zS(h9_KYXN=Xx~DKP#*zFIivTP1jn7; z8k#j__I7v1UJIG`UYQ;!&Ry9wo@k6Tgyu9GH+_l)7&d?Inn}o+GiPoUnRdlT>d|dQ zuxKbnv1oj&Afhl;kmv+Y!ODUoHYQd*$#12ap@K*GY3JEFPD!@v?PV|xX%m&cOm#c`RD@^oJ_(Cmyka&3_GHLlzw z)PaTrLj~>6?n-p}D8Bgvm>A-@v94n>vDjZ^CNos#;PzZ%Q(33lz4Ez7qI%Yy&l^?- z{zMf@F+!@e2*iXPdCOoak`4BUJ9*+FF9foMPT)_50yf{oZ`Q}8&Cv3!9G`}Fm{5wo zy;t|FUb!_O%Wd-~A>Aka;@Uv6x*btg5=G-llS%S&)m$BP6dRg+;Jkx&XJb(ese=)= zKOlec7RKcoftcPZx2^h%##D-AzK@S0DpN&w#rdbn^ygQ;oQu$FQoHdab1_WsJwg(~ z&he9A4u&JV{Y9wlP*vN@GQ2SUd5leu^zrj6cW(@K=)Dv+DKzin*e(<|d82U!+Awub zP(Ja{Dm0-%rda@5S0Z#6s|$_>qx<;D6OR_@+{uQZnX~Ogu>W8~A%;^y z@i`+Ckp-xrfeC_%zk1++96P8n@Wgz~ab4J(t3TiqxFd67kxs+7>phP|PT|h=7s)i6 zNg2KL{l-oAp}E7%D9;b7n$b^AQECnnOjS(xD6^g=caoMm7zRbfLeF%@# zY}bB9hRb(-!ak64`1n>702>XZpN~A-@aV&2^X|vgQa2|P7;(~Og6iZ$C2X&yVx8{= zXH0XVuy6*eeMkU?^ImhfE3;Y_?#a`8v1!CYd)s#R0bZA|7T(k8;$mK4=pO{tlcvUmbB8#&^RF^qbz?3m13>7C}G%# zK55_;ie$D^WMGA{P&hJr08?$@JuT&vdytjjRd6nUkpd9%kj67$JJeC<x$9N>3&I2T|L>Sjo?{uyL?ym!NO{R+@YQk&*d}6TbkUB)7K3aNcZ& zVY?QRrmUKUmpIt;I_cYdK+Yv`yi4Ky@g8 z&kg*bCnqWRF2_~3U&SXla-TEN;MUJ*=}Go@7@d(uJxZ;K=sEQBJR8aPsCaesMv zZd}yr%1}jDw-`+d>(yYLyKb$g&BSHaZLj7X#IM+^w`;uy9r`5+w*3`;d@He*TWj;R z6_c@ZMlarQ?qzA0a#;GsVJHNh3s)M=wWppxf#^s95*9{jB#LBz_=*89+EIYhEX;q+!_s*R}wL9KBgRAdSC!C zq{J`|*vC{Pw<@tVO8=)C`Z0K70vX<4MMV%_8NqOlWCRX1GhvKg;;kf<^;!T({Zi?& z-fJ`^6~G`9b*mwaVXW1MylQ7n%UJYDyUq7vME@a-Y`^m&)q4B1{E0?;a!IY=x1$>+cj2IN)}w=!^=AlhuX!Z}@D&h*Zmc`n z48Rie+x%6SJxNlsM=QT|1qEWs_K=Hl3>U|U24{umn`Gy65~053=o%z`C2x5lsMQ$7 z$~-yn5KLHP015MJ!TT$|Eml<9LACa_SVG81*9*O!{$#oW{*~=JVDy*sWALEySTWDIHXf=1QA@ z#3`e^nP%jLHVlwJD(t;8bV4(34~i>ce@E@d#2{v0A<)55U;cV=8{j9ecWag_c{$CD zzQ6Se>@5_n1lr&ygmTvv`p(@~2Mw)Po`V#LlPtAga%7{ftVeiEmaZ@Cy z&nc3Xd1{z{bZu%CFmwb>_l@0vl*zK62!RB;j-ybwrZvt$GuNaRi3mT;Cpbc zSm0cbl>CZS;-SLu1l~ByyACm8YCL%|o1wu81ml833w_rz`$n=i#shi1$^jR6=?ShW z8dsSOlsT9wd~7-Xy(N}wlRg0eg^<#{Zm&fMY$3k1N&Qzb^cLcWr zJk=G+&JD5%5QaT4GSq?m9JM0~$$5P6J?(hW8k!~R;U!67jF^u1#SLYr>T4N+L<4$Z=Bt8)e2b+wKv{dTtkc1 zdqNeLK6)R)-;O=H0%1LeNDT`gp>yN2#XduPuft}=geoawyGN(4dM%R;jrw(PSf z;EVe}RYVwo>Mr?~&<7;@5w0LKEg-7i*_d6W5CLECD#U$Ga*w@yj$?YT)K1gp>(ebUn+58KV9j!d6`pHi`orbzx#|&HJdDXlknAPQ* zi;V%^do>e2=X1z_*G@KV9s$2FDWIrcY>A%D!^4H;Yg~;!xYE)MW$V`l=?g$xhSEbG^lgG|r?i-|&4E4B$#4nT}qTy!%f!PFs6IMaS*kZSUs7(8bjAG*pXnOsX3i2Z)NH(c8U|bu;*a{1Uubyb*>~g~Z@bIH`!EUy%7tBk&G(>n#h*yixP>QF1*@dJ~C%LKf* z&8#rI45#Xonm~AzSv}`5WY^bn9A=ZnRZ&jIjCI^jr)#a8(Y6i)ryP* zfsb4>aaTZSknR480}C;-ivMwr(822xr__y_<6wqJo}%D$C2C0TV3VSMc7^NUARr8*o^icXm?Q_zuP`8-9aRAW z;$&QR3oP63q`;x=tw{hbB;aQ|!5Ku~tkq*8sJ8!Ag#>q;7r2ZVhjc_@(emO683VBfha$=g z0@UP$_gusV4z`x?8yIB*_}czm(!Ufgb@2oR{JKJ#kUwC5=S8N%ych`1DDrshZqw?{ z?yUCcPC%IDxbO&W0i?la6Au%EPu=&e0&RG|B^=~p>_WW@tWd#DNc>o27`YRYyZrnX z7A{JnGe(Kqy!W;{1YCs~rlbSEz?vkeoj7`^x70~+w(=f9ZizI>t?LZ*kdY69!#2Z| z5}@dBB`?6eX#^yU(^OZt7OQnF%cfr!>R&ngTYV4Ycy8+i;l5LVms`UAHN;wcs0l79 z8tZsiK*n8Dl_$5pI|t4GkDRNRc*3I0EimZhz}@cKb~Lys>CPBiNa6V}Pp2h1XSn*F zq8x`X@gLxbHN&@le7aFVQexDM@L1k=trCAoQ{T$1iX{?;G{~1sb#{fW3;YkV>}R`M zI_@0(eYONFz$v}1f#^Qk8CMPNizmI}5r(1o$xdGKO7bs*?7TFDSIRjLN^K_$fa^-H zWn&`hI1ZcwShlZ-e&kM8HJw$QDi6DQ7k3=7pT^%yt+DWsj0d+x|G0q;+{9hoGZ_H} z3dBG%M*9AP#bGouP&DFG`?*5~dVPg({7CUyRl|A3sW_#pin!zPu+$WT9uC26Ilb*) zKfa`14S3Ovg~b#sB`&HW6CGh2&tVu4|DgZ=<)D{;g4lN;=J=NLZsEKK_=2Dwk=9n3 z8WeTX3lRvP4d8N1YC;3Rghs_f8zr~t-=G=`1s58W>!QP;j1zAD(%$c>DZ^gD6t zq^KI?)(0Y4X{Kt(Of|y0$HQi182^+zJ<$4+)5|a52a7TvQ8Xbua1Kt&$1mbw7a>I) z7a{DBW2%PRLa9Jf)_?b>T_|!cQ+j+-mP;IU$dwx8wVG(RtciXL9qvb9S}oD&_5ZjZ zbb|C;baCokeS+H(dS7e2I854;Xzj>_TuTNYjs^XrfY4?b4sil4^&BqQkW7u0%!iL> zh~P%TcYAHXO5SK|t{_+?Lq+Ot)WT)t!U+=K_twMr%(%==K{gDikh{)9b9o2E=??Ar zDN11ZaO7h=QEDqNb<1zB$;#4rLF_06_lWV$hd4m-x#72n{=)loFn`T)-ulxy<9et} z7;}Cm`6pLzBj85S{(3YS!cE1a7qPK*K|nW>Wo4D{ypjUT06lBxRIX|Em_mkV#TE)v z%J;FzAxJv|mjdc%C|f6vz&bh+UQ!}8$Vye0h{IKGP=8Ohgbn16xNp^}7PxLK=fkDx zWk^F0@{<3DzdbZ#uC1^UTOFK>SlA;71+P_PRj`2qKIQjt^Q&-C_BnxS3)J+eAQzAS zDEZZN4iUq4ySuo*;6lCCk>TEZA#e-CPGH(n?WS54Rb7F%6EG4v$aL&CL$Pt`k>g~! zyg6~GS65K3H^Ckwx<-Yd3O1cXk!}@*)Q-XDWC@`hCgnpgBSPH+yG5?D*$*8g@MRZ% zUzd&LH3z3YZ{&vb*sDLBDC(IT^3cXRILM?(Fob4?BojUuWffT^FOes(d5#m$mk9j8 zzz&?e2L%~lUdvHTeMPR0CtKof-q!yemqEH6uwpbhyYm!sk$bGYlpf^@o^Yz;{Z$KH z5Z4{mw~)z@feHu1$>tajuKZ(%CW@4V;lbP5f|CmfIH+dg zHfg86*||F1F_kO1_U9RS9s^&0y8Ubz8oo5QJZVa>#0fq>F|%%PM^X6l&fpI?o z)iWz98n=rf#Cb>PaO}Lb$ZbN<)5CS5K!aJl=w&An|6LbVPtXqgNXt$hM>1l+55!9k zF?gB7Rn4S|Q%(6-@8ga?hFvoDmR|b3&b}(>`NJ6#-Fj~TXU%43?tcQ?0#2fzNm}SY zQx5SeDagc|nfWGja2hNW;ZH>5;o)=l*n58!%(3(u2wx!taN&Sj%et*D9o2smtwVok ztm-eqFS+mAu`0l_FWy|m#X*Ai0^PMDyTy?C*~z}svf{WRB9va06hpLz8Rs+E*onLk zAca9VkQ7%~8pQ})Q|LX5@)7}d_p$RQw+boK-Vk91)^#_Ak?rs2f8Cc^3Dt84E>h;i zPNsBJ-gBFF+7;DQqB|W7^us;wi37nSfQ%;@_M@R~*i2Jf*%fBoaXKJpCj+>`*+pbi zJCproJgY&TudqJ#PldX zKR(vT!suhktruiy_uaCHHGJ%?9>x*lH0Y+bYyPq31%6{iUSgvhtW05lk9FwiE;%P`DOcwq|a!fx#gAAvTg$=B{- zo*23rS7oM)NWB3f0N98Cuo4nFXfoYrKP{dh7$v?hGXK~!x4Pp24Kb$vewYp=DHkW$ zQXc)mH6bb*cwbVqE;s4NHxd!xe}fvirC*Z)w!#s742r`ySi(5T^D$Cs$@LfKq%&|W zFWmwQL3sYdp)MYl&a@~1rQ2Ef1>Pb;h>YeQ|KBU4|NEr>|B#hg33)8pLf*Zahi&99~R{gB6yj(c=*YIb1GaYd(&%0jFbJ&2%7u+Ih~I*LcnH z!{rw(Pp0YyfBGL**%==sjl9qitOG5R?PYB>}jg}ds3 z(Jj$mRl9H7ZNQi?JVY*CeIckQMe@Q0P*?%)duI=j2(>p@VVtAo8&Uwr5*_ZU5!54( z*ise!t6v~AP%Ji!uHV)z?tO$fED{p?Hbe1;@g{!+4tFBxo+Oy6DZQ^juFECvccn;wPw6Hh0E7w-{yrWx3%PGZZHqlSUNZ2^$R|<(ZAis~D;Xk`I%H-DJA#r-#?*P6#&?EK* zklU9D`Ed?OTU^&?!@}m;_f`IX-QpjLzL)|>9zr~vGGMWN56{pXY>UXi^%MM)pSDbqFCM(su{}i4YOuXu_HV4w{P= z%if+A@WFt%L#hq9S;4hr#v z#{94|C=RH{Hl|`e5IM(rqP~jM8mY9-7YwQP>0$p9Oa{0_0`maE3oi0c|6J(4y}4?V zb!e%5F)I&eubjZ~f=V)c?FMCONZJyy@l7FWPu5v_5w#79Z(MEpUrO`;7h6zlK17r2 zu@o0B-|=WYl#X2WOBlHmQm!i2=~Urx_NZ4461?V&UuJlUk-;NNutQ2|@n^J&_wQc{ zbb0<~#QXr+QYOpKR?6uRypaQ$i^JqR^y5RXs>Ga3mN(RpI*xM=97sVhRDLC1CZs{K z3#Sy*R);ULVS+%%jipU)d_R4(gcZ*I(?aZF1_q`^h$)qyKGvlpOCvjvH3r7QT-UX-0 z|BW3->uBH~f7>9Va3aF7PFTl0N$Alh>87{F{5uuTnAd29zP~Z*;)uDjCN%xLFm(Kd7e{}$6OYOBu&2D$h-YPDbHIoT-MT&gExjk%Zr^N9> zvZChG;nL?7qt9IAn+O9VA-Ksd;9g!KxbQi}TVVSOOS(p;S4YomNeWv;TEf$K*Y%=0 z!*BQ>CfZsk3~R)!WWpyI$EVF>qL3R3ipZb+-~xYi2sr{Q2GG?`ZMZ;e=c046&2wDsunh1$5AG;p}n8B zU59@ky z#S<#a{cjPpgHWfHS4|uF?pGRfA{Qc*KjPSh>DdK&+qr5=qkl$@$-lznn*j^kP`lYk!k)kdrmw--FCB%X69$l^)9%F@GDbUJhv%E zjR7|&n(b=q1XUMf;<@L+t2+7a&3!1YkMLLcbmaQm77g1mbX#4KFL}i?{Gjy#_T*M8 z5*YzqakM_SP8&7!x^xJG##VnyH}XS7%DJtb3P%(XDbtDYCJM#q^Nh|DAtJZMhoBy2 zyv|9tF-+GzLbWNneg>v4l`fN{T0VNMG*$CSDN~2;vTB)ZUgVtu+jR4R&9sii)x7nF z!gXDLijH4?V-qt~9@!`@+h9S1HbEH|a`hs~gpyy-pg3bF&&CY%1el}uE^6%#jMy%%mbrNiko7cJSf4PI^Tu72BW579-C$SmYd z{+c%Wr#R4r%z>giJM8p`vzk!Mw*Je9n(-mV4Ph?zUMGV?nyk)V*o}(Un)2#Nq*rY{^U2S1hg{9 zj!VAXhBGSA1#t48Qd$2@tVIeiTf60Z;l4-FOp}*O40!0~TC3g^+gJT0ow{7oYg2m0 zL3zYo{*%C<`ti3`feC7PbVrVFHYhcGWsBtj%b28-W zve@fCCbM_!qGaBU&Q$5oR6BqfXCLpM?#ES%;-;YWmIq&^t-tMl$wRaLj>p6k>a=|C z65yVP6y8_q7fSE_$|9^k^OB*i1(YR{HAfBP@^YoCiv{Yt_l8an>-md^G?S_JxpB5J z%b4dq{9*%~be3U@yNre1xf(Qa+@JOmKiN*Khq+~L7x{_#RIb@nxl9=j4k@_OSF^-3 z^XTqYOOV|lzP!zq8>iE07gA`_rL&f;jXr+-ZBwprTX;`mwL;a-@+-d=9`g_OrUbu? zR%Gs(UK-q5Hx8fJ-6fMO@;L>LP+flZVe0wY>jYC<52<9GCDmBASnc^{*8ANRZpE#U zUAI_#M#T`WvD)r?;G)KL+JQUe?O-)^=F=V7q;J%BRh0q)PRLM`3k^ z@bt8`*7&nfsnbGxsVW&tg86-Y9&4jo28|yX$NCk1X_0MA%`4P`0aT*oF?>(FJV#gj z^Xy{qc3@&yu?DWgmOI9B~Xf}SmIf4&$=4CIGx>lz@Vf!e2<+|^F z14B_Q1n#mxm;UeJmqqeI6!SoRGF5d@rmBA!L#;qUchcRJ61&%T2RX$I->e@Q2gU2IZV2^4e^0$!@&aI~TZuBy9I}-MI@lx3EZqiI-~B5>PRPlVV{ky_1LQvm1z!} zok8-~vJdl@?pJDklkXB9w?4=1tf}pS8TH~XZ)m=6<#Xyo^(3C~N{a6I6HH*r=%O3M z>YI>r_?sBhga~H1=Sp$ti#Yc12`&wiDV4j^_1L}qgm-T-+~(fGDd-=_R2kBhtP~Ok z36WAQaiT1C8&E4v5wp15Tg7@Nxqjq}VWV^hsYQxYQ?*oJRGM@bxdYLfLWJ0>_dR!9 z27g+=w;|R&%a$k?6dgTT)bDY|orfK&4JE!TtwR-t`wjwj{&iq`&A+Tz$4Okr^;>HR zUrdjV?yhyrY-VC;LLiY_Th&(J^TjR+OMm+4d8^JCGa;^uVp+GX()uRGN~;%zv-UrN zaz-9;=2l+Rd`LTuFK#ce_K|bq(>r$YLO<%6Wb0p>NC@fr_u+D^_|Pxo#mFCRLlo+1 zm1{Zl_l9-O^jsKNvKu}ArWoyDYhGX{@GEZ}Uza_|J)1iYQbw(m%Qci_{LF=A@>l#n zb?~i*fV*JNm=Z3(Fj^KOu99}<)G6UjgK1$`{Z3qQ^qEt-RLHf->4R&NxLuZzI-T7H zskAP_tp>cCYF&R9>xhJ7Tr8Remp6Ow+MHcaS5cKz=-=^8CaA#(PyeWgE z+Bdjk=xT2BFiF8OGoa6m4bBU|HPVB?`=6%E|7ofP#Ezc;0 z>G~cg9~lpC21i`h8lHB!IZ8`{f1E7S530WNRWm3F2DImF68@lQT6Gj6?mDeV=JTQF z7|=W+_SgKN7vR0V@;E;f_7E7|ve`Jx2YzMtcpO4wD3Cl2&f)O8#pth%b1xW$qmBk? zmb}2{s`~j6%V{OjSIl>GNu>{jP=!gcXoQH z4103Wq3CaGzRzN3vQC)E3-A@D$?kpaDiLCQ;q3KuW=~wZJo^>Wz!ltSk{W!n`Aqpeu4d3ZEkJM;q7gql=&vnsi*`q|NcRj zwt80Oju%f#pCTg(SA?AtTr(S2Q~&!rG1gnHE=$-3>#c5CJh+l^-f8f@%~Uh7iNfHz z!iK?epv{!*huWSKp`2}tB#vwpQ01`9u>93?!N+@nv9Iv1Mdx|vRSzY3fz@ry+xB;F zv$e*PmCYWXdgabuxuC$+jV6^rROS_8CS??TdUue zP{MTlNk!ww13=vM+>%f7)+3EwhTn;mQ%zU<^U@4jvpgEU3Qc{4)^P08)pT;tOy=V` zGaGdFg6Yue?n7xxT&4Hx@f9RRfBZe-HCp#D# zmL*Ba@0+}6*7~*6qqLaxA;rA(xXq49JyL79RRoy!ulKG0RBsCX`Br9TTB3`iCOo#o zLeS|-hAC>J#ClrXRuQQ(yWvZ5Fk30WD_Ay4EUw5lC=#~DCSch-#Bq1dEyoUX+eVkS zvP0GO`)Ia7Zb0P6iVOUUacv)2vIw_OFYxrn2b76DLWme-o{Y)4ZSgvpK3rU~0q7IQ z_*Ph#{F*tNjE640uDpvD0?G1a9#;P#tZS&j@ko4+orG8{pQU;{XN3qw7uvgJu#Jur#b4iB z-nF$X{?2%+h1geB(&@ zjF8K}8`HePaJIkpxFY|eV$Zp+$|8{Qi7#cJq~(Q8+t6HnBbm+^l>1JbYw7Hhg7~yH z0S1-p7{h^ri6>rd{-LIMasI+fo16w?n_PKm0fO8=oCkm2e&`j@i%nI@*_|$7?lSj7 zLU1vxpiGBspxNdE64tOE{dXlD!W!#p)=g2#Q>99z?D65(ZmwiZ-A{0aNv2otK-FFw zZJnWV=X~pw%Q*m&%XJXij4kWGAUw`Hhu8QE&EI4H|_b=pvgD(O)xLvrV%Zm-<$C`1@=C>HwrLNv1`0&b!s^cq{W2H+|P+OH6!6t#ld$%dKCY z{%eT)uQT-X$!z&1NQ}P6rb7*BgdV3IyZM<3C7VPhrEF`_M~~vpGq@~h@a4MLEL%3ZN2RrTSG%zfkd(r=JP)vVjbHbdKCPe1WE3zJlV$wzklsm3y{rd0ds{Ct}a z|tsa;FmM?ksz^*R5>l~R#Z(0S)bSIrV{D-#!s z{{D8hY7HcMI(_cnNVP(8nJK)#%&@>-_|>zyOP6q`93k)3lxNX;oT?yP1JMcBL!GG9 zOLGoC!hFzzY5h#R+LXfsjUGGc`-Xl@Jeg8Ll-O=a-k}I_|8}-7l4j8x*4Wfk)68Q_O(jw8}7)@aAJpxTbzglu|UIG|fMf zpq*9Zc3OG0VkR9Xkg0yV_XzHcKI0_LQB>8YZO*oNGusR11pBov+plkk1>0=ev#>-H zG!%@vy!lpMYpT&>I=)ERIS_ObcE-5G-oe8j!a+HdZBZ2Q!K*U7n}g9X%?n8P;dl>82nW_!O(8?MGbWfQqg zHuT2&2)xCLaIFA%q=8pu1S{aq`)F5)<-g(z4^TPa;LoS0oPbyaH0A8&{d#$mbF(J1Iyi@_+Vj(vdlWi$S$yIEkVwz zWpU9_Zs$#M-ihOku+i4+P8RPnCB6rVbeMwjJ)JIMAkImU?7SG3mp<@SpZHl85T|AJ zPVENpfT;hhrHmT9Xzv++N_du*mR8=UzUVcZ6%x9QhI@#Gj7(Y6z#`Lh!m^;`@KSQ{025#0|0B!W#a`V?E!Mh7ibXM-uIItdJ=MiVUvrj#1VcVoU)!tw5W|&0uZ#e)J8MAF&_^6qg zl$>3v>K?MhN_OIBeVlfi7-hE5m#^BED44!r6nFOi8+-2^7ge@3hytRbs9-=;B#D56 zfQm>?Dw2beB%=}}CkrGe5fuSRA{j-J2q*|h#sm^96pEabR1!-m0g3h2sVcDh-oEqo zH*@Fx=FPkR*nOyTc369*y`s>JbaPw{eC}W0pawO3mCdI7HiqaZHa{BhJ&ykMqR(vb z6-&Fm#;_CWhWAqFu5Qr;%DtbM{9PCv6_8$O+| zeB9y(Z;rm$GTxM6trwB1rp*1ZO%_;^<+RlmPU`El^q8?}2MjQk$6HTIyTYD3@09w< z0_X!DvOhSKMeDC)u~pV+KU;|UZj4^9R|;&8X55Qq`wk928GkqxN}6(an8E$v{* zUlrcKZ@b#*?K7Xir;5p)>bo#;+{pGD?$TTX@yC(Xx@fD(NRHleo16MR^G+gw3Mx|+zdHXE)Zx=3QrDumS&euk=#y< zc1aQJbOqUI!67Pr7?)=JrBn|l$Paj#SnK1mc9^qGJ*JHwlWm*R{TN8FM;|b76~0o{ z+ew*A1cQEx-T0Xrke*3a7mOx$V#dZZ8?0%@wTiXvE>NS|?Dzn0eG$BUcH2*f$b@p6 zPovmP_2HCXX64P&j9;JCG#8>q@$@_`J`zwiUJL@gLi+D08uhJ&>VwSG zk{zu>bQAFtjK`0F+@lwKcM)*wQ-caL`P^Xk!zw^5Bmt)>hDgWewAYuZ>5tF@!cbfm z1~TCf4@^1?C(ZeSw>K&Ujvz(l?LqD=L7WNzM62;GHA-L1DsKlu>n`fMdD&A9{8H82 zeA9HGvA6d9g%`lD-m5ij+y+DJf4A)gz>?3^N#l?y_Z@(o;^fx(VW3|uckA&wKqPSl{n`o+$tFEei_Zx}XuY@fof6GA zK=RhUfvh&@h{s^&GYOx**zH0Y2>;!5;_NXw4MwWmrae#sTV`(xS61Px1*vpIWm%9o zaPT~ZKNS!t6}>AS=ARMiRD28sva9@!GC%`T=f|Eth6f`o^qejP((-xdR z^?NmK`0Hs?f(1BE#t@RtJKF3 z+Lj966bw3{3{W%0%{~d3Ut))AB%Dv|yF5pAA6T}}$?YzQaKwTLqVn#IaRE;bR3^Bt;H z9Z%sPtmYdTIA~eExn@*(!F+&2HQ~W3i(>L;_jG_na7(QvQW zy8OjtIi733Z$3eHEF}V+(t%D<^vN%>>1g*Q#QKIME@Z4qUYu_3ezhuDFgz7v{;|dF z?vVo>gwlbR*@TppiS{zpJ~3X zwoX@EIiNb;G2@w=n{Q+1?LA_Qu09}qZQR6wp2IR}7vX74n@!Wcw)S>HLNV3hx~?B{ zo}yA=nx(p;X>2P3mRe4Pi3#Uq%Ia9Wp?D?lywdQz!pi(J7ZacSyP;lH@&&R+>Avk5 zW4JUu!D?xnq-r06dF^6q-UW_TDJT=Nq~EWAACTu=7Wa&+4i_VQv>3!qqN@+u@UGwv zob_e3GbGG^uH{@UZ|@zDpCF)(2?Gi-6%7Po19Rj@2d(kym87Np?fK^Qz8xa-3ANSX zI*S9V+hc6BTILUjy*Qb*)Q9uoMyf>1tz3F>CCIkoM{V*|>0e(qbX^W+mS|>R@tS;5 zXZG#Wqo81yC8!P=K_|U@yaZR`gk(x zb2dVrCE`Nbc?RZrvG4WVDIZSv*bbqTpadIFf_+&ww)9P)Tfci|B2+O63g%?Os7jbi z$KeM$?xGo4_B|i?>fD|`eM};;$M+lhzyh8%zhP?0&bGzFr4;{zZdt8SywD^vq*>w} zAo@E8UxIpwT?4< zfxp7yE>;x#<)yrROu2)^05ZxjcJI=rq7k^O3r+8SomVBG|7@NY=EWKd*`Nx|LNp9cxbbA-heEr(H8lt|UXrHxU zWnYb{#jz%ET65-W%M|(oz?oAE7bp6NrZlY8KsrnW%g|NkBHVle zHS4>DS@MQpvrEwCW(nNZ($yK4t#sJA`2kr(9_)tI(dd;6CQ>lUSQ8&M)$bzcK3MFH4=Z(>CQKN{eNX7<3-&6Je(3Yiw&jiZz7?<4 ztzA>!xxKMv>b=^9nFqzL@ggIy%1d#&Na;OrYqG(1e(kA`sqSo>&>HPr=s-UZXXPUR zt}`2a$cdu+X@sq3tcrett)BGk_r5avcC%7uuKp{!kz(CvhP+90z7i!S)kN539%XM&K1sfqa-?^A9d10X3Ie)dh zIOeGE)Rg#Sp0w`~tdU?3f-(!*NcB@)? z2WP==U^lX|Qhnpcl`h-DhE+*tD23Sw?jV)?1HP9U6dYa*|JIq{mSAwVkDrH$zRzEG*h>&zv40B z#L~l7{;0R-QzC>rD)AGGzVn3gRUE|#6qJ3DqEa?w*)_nCJi3T^mqqA8XxNA+7Rz#aaR;L=># z{wriUa`o)_GP)5v!tyJhnKAhh!ZNG#hZD{XrK`RJ71)eBGbPe}ktM|)YCUrXjeK-V z1kst=M)mrU>SvSHHu>ca8MZ~C^8<}Zj#IbU?JDgbee2vZlpoC+`kjEgsa(s-_h|IKCC&^-!K;@nq!@Czv{ZUY_)?Rxj0* zTKJYUnTP8L>v4?<+#%gHzico|plxn!ULfQPPv7AV&G&VC+#LS-n6ZdD%gRv9^w+AM z&7l%{Vy@%ko~!;n0x=^4e6x}%l3#y`sQKh$CkU~1^8;~XZeng;cs{X)+iA_{DMtGy z_j#22^qnPII?rkG<_Nrmd!^1X6R!CIovsv)Ksqt~vdNbT9Vg?ig3-xZ@6{Jtgz+1B zPO~o^{6^Rjq)QOhUd4C2bbYNdF?eaqC%=p#G)FX#uBs<5 zOYN|AO}L7@0%`dj`#oMIx-ZL?mIg7Q#Ulw&4}^h*zZ=(sX>o`N5kc>pyqLJB*DhYH9K&Jm_nl4w#7>5%fRmrCAFP1 zb@{yH+H;K)dz$TS%gtRxR}^rBwyym{6}!hH#!@VTW0yVZ_g9(?ZLjnN7j;R_$V^Wo zK>&~57`DG#&ts~ydtM)1UIE7W5#$8(jZVkzTyjY2<6B(p6ijKnCtSrZW_-gGuPPkv zqCRPSL!^X&-mE;5e3TVCr);-8^JKa}&j!buW}->Bn$Ot#-6DIe)P;ktQ-7}49pCHo zwKkXTV??<0Ji(-|aLCimjxU(?Rj3Fq@w##O^vmq!)K#MgT^+52cy9HNM+mHiOb(b! z{0n-x$(N7wU8;Yn*}FTcA#7S&+*-aX?pEX)0AT8&M$-29cBX;+@N4Wf51puc-cF2srt7cQneJu=^2 zrYXGe`GZr{+kTG~clU*bI&Xw;OP}$6jGw=d((yRII$C;Q!na>?>dRa8h}_~?f?Lmq z5~D+nv9W~Jf%MhPbNa>B9P_;*CkmH4TWy}ywtl= z#p+gcBsNp}8_4IuhnfOWp{M6o1)Ue%25#f|o0W{u?vOfPj4RH;eUhK>b+-EP2DUie zZlm6{1iq|1Z&=zp_quDPx{a#cA09?66An7{_X&G9;2Qa&M5V`H;orG4=5#bJoER$4 z%b#qHSPhhKpZD}b2o$X@U}w0bSZ^ZtW!v?c4czkIJylbrj97dtmgjHdCo~fc-{OSa zrVUF6@A59IVVR|&yvX|nD;ZG92UgWKX-uQOzuw#ky+#Jbo9YiGsyyzsDW59N5pg(D zq7#WW*pK1NrtDRA_qWy1^*PKzFH_@6DW&ped3Q~);zPJ{Ki=&zcTfz>9%KtA>H67~ z%0K*5OWnmszAsIHUlp~zw?faq!$RU{wWP0##b=jQoX?o}C+XeV%OLJOd_$x{}uwR{@YSEVQmVvXg@RaRvV&frG75H+WxjlP8 z*};uWWNY6{n3#_|^T0-au)Q#DN|1v)yxie~j$lJ5J>IF30fvE-OK*(W?}If^3~$8# zC%YpqYls;vo*6&$&uPT2vefE9znR3cF%$4$tw?H_K;OK@y_#%PwP2vQcVTqzp{&LW z&o7Y7s{F)ny%=A?Z-)D9_riP(5so#SU^97RDi{Z=sGp>D3z9*spG|H-BqJ8t&RUTc z=7xCn{%3$p{Pu^@mtAaGE|;I{9R?fkxi^%tVE3R6{Ah;Qj0y#M8K@9zuiyYU?Ec_O z{2nIOe*rAo|1Bu9P!-usoRnu0-eonpEN!d%{RGqE|&N5Y{bpM40g`TO0CK z4;btI^VOfA0Y*QtJ=6!M@HIvk>P>7n2O-(=M+<0H;(5ekTzmHr5N5VBJK|hx)7~SS zl;?ACJCzdvIIe@_r+!cJnzWuAxyRb0$`v;8DE-tp%~9ll7-v3T5DiULGdBojkkhcd zcX8wl(SDnABtXn)<;el+K?JSx5wq++S|K$Tbq{4J`_c_T|1N&DzMuK32t_^32g9Uy z$WeMqX!3@tJ>mkr6-SPAl1-huh~@Ox=}Q7K8YTS!x&Ok0N$XFItlj}^w}?gV&qmiV zlRF5l-b0$$iJ)4mPa|9_s|tA9EMJBU^*tcV{b@~nK;CJlX(Y3sQU8VcL*TjIGy$a9 zZtz_DUpQjf@5>-8L-ik72GInW?#qdA#N+6#G~mNC@dh9Z0B^BX9lKGPUaDX3Sfl1eRBhuZ`A{2l`TwO@lqq^NXshTKN&v1FrzBc zz~mae8bbpt@vR7Shz!vbUa{3(uCuR^ZuGguK?!Pq=h_y^dAhpZkQioU}FAn9`2<|i=>M0-2qLX z;eM?UYp1{Wo@vKv048{BlNT<|?!v^hd_5@3+$?hx7IRT7QTZmY=|kN$s%-bSA~3fD zB>t0sBse=HmH%G6qzldX@Tbyb~n z8kQHMimrhBH6$oTZl?y&p=DJra`=Dr#N?MDw}(3Bf?Q0l0Tw0p>4o&NUEa%UU1FaO zZpsAfKY!m!$kOzd@xi?oD<6Q=BDUyJP}+cOYAOMPf5lPWL#f(+aM@FvD4f#m*dCj7 zSU_s!_Q2TPuz6OAGqonm!FOv zd{7@foZ<~nj44#NGB6X~o6k3}EFIMOd}-4dY^SxgQG^G)%V%SRLVgH)&l7f z=O92fts55T&q;rcQxWA}eHF4i`GL78`aCl`oGJJSr*g;D9wr;u$`_7W4C;)h3dAFG)+i ze5n?1-VHf1Pru4@)YWgXG}>v+AJqZ@3bE6x@4e?i>7gz3F@vc-+&t#zCj<~3H2{a> zKeIg#9S_`8obzj|%{R-wDm!>wbRDnM%_>z<0vD=L*%IS?-)_u%zNW-m1xU?R z1O`HX$;|Y}z*6@CEOk4sxAxd}80A$hnfQ+$zw}?9%RhRpl{%D=n6E`YSY9;1m)ZFeaVEpW~QXN?OdNS@|8% z9(j+MaBY^X3vET=x)3cR2H=5MC@pPpX&%<&24+##c};I0C5i}nrN4swqK?O?gKzYJ zk&}g-u+%hTNBwFrvo3;tz)D-YbTzdhbSly;sS|d5CC&UYH3o!1oC7f)Qsn$TiSRMH&|$!}V8D3lPjq3O@zG;!OX-!totzV*nWH{q<@4;E zb&eOSVTe^0`Rx0t{C8Pgn9hN8k$qT7L&Za60ulef1el-XMafSe4q-&&6I;qY?scw< zo=1Yv5NTAt$ovvIxu#yZ=imtEu!$QRK=VWgVF43}(*8%Evg~*n*(x?DI+FTU{lQT4 zaxPYMM>pufmb%q}I?BZOo$cTW?f5cmNbip!igNII{wX*}T)_x}U6i?!%Br!^jrPg> zeI8R|?qPwhaAI9;xYV{?n2iiqy#j&Og+xRd&#@H|(c+)fMEwp??j6ykF8vJ&#Zz;V z!%wA~K8V+bRl?hIb5)TI5Oi|kii$Si+S7*S_d69xM+j*0C)avlyU@t0%?Q|f>Jv_n zKA|-mK2iNYHOy>VtjmbyRoD6i*S8z;m4m~2u*_HM5Pb6VG*KLZ*pwqDGM>WXv`4Um zG*7_kjP@%3M-X2gFZ=Rx!*FGZrA3Bomz8koa} zMqb6w?)f2d7SBvp^&F~mVrU(f)iV+|ETZn8o$FIlw!-YZh)4qd;j}d8Zo$^+n1PkK zdn$I^DK3?hZr@(;OgzbQgt5Q&+QxwnsGO;3$SrGhH=!<<;}a5oGx{2l1J-&@uODl- zxO{u5B1-n5UppEqb_R|Ye6L>DwbTrXoJ$Y7eJ?Js@6#{!?B;HHw!rmw$NqB!PRomy zP@$odvVD5hWt#G`T9=8}!1RV7Vl;v-L?e_fDhkoOLqw->?4NF02*Zbn7G~bc(?j(t z8Xaz5*u}O!-bzwNwfWB>DsvgA%n%OoRF+K*0bLm)d;hk_8OrM*Ffma43l8eY=g>-|2pv~kXe@lS2hiIFe;g1iENIH2r)_>NZk=W2lOWe+y4s7hyDY{QZ=G^hzJ(Gr#6zvZA43NyKGWJ@x?t| ztg@|Oa4mesxi)-?Yj@r3r$63A|8*=5%@eq7puGkV7Wa<|%fAe>qoA@TO0dYkBJ6(| zs>YUz#4LO9l6cjh`N@B#`Wvx+{|*3l$3AO_ZoLAr7LVcf{vQtT?`2>hh9Ms3 z*ouW}Mq;S2^`Vca?H~V#qJPKe{)c(|j^6!uP_%BIF|TII${|g)`6&a%d}afiKPr6> zZ}}njwe}(jjn@#T{c4}#cDO%SXSt|Sw-D_b4v50@N4v&fN0`PuroSx*>|5e*CK03` zp+*cSg3ZW1@sHN#41Q`A#N@EIt%wD&gg$+C3o&jU-Rge{ktv19h3jtw)!seBwii(i zpZ#xK{{^0Z zo)AXjG7rrf@(r(*Kn%)gSVAuxQ+BpZ?wSo+E|hG8&XIY#1q`uZgZ}mCG8NSWxJc-A z|JvHfMRZlQfxjsySyJ~rn;jKbKpAvc9HA-$ueRr|!<<JGu0ltRh2qU z7dA`r8hGpqESppnw#FP`?A*>OCE+RZQ#YXO)Ae!gUEqgu`a-n@fr#`e6`7ig01;&- zlgnMyD26j9o_PTFw-sU=Xr8FDDQL_?P}=YtQS3Z=qdTW)mP^NHXtZE>t)tr4cRu@W z30y`q3hddCFmnNe<4F8PSMW_r8Ylq?=|!?f;0CR$6zp;bqJovrF}>PCeUV**Kg*!h z*_=Po6IwB!?TCheY9mwVq$&8Q@8OB7Pn2W%r!_fYT&0;y-k>gx&w1`uhwWn*OdaVd zsqeyu?<$CpJx6gWK$>QALFH%I?oj#2_U%@eh@kzZldI3L(B8TaQyS6_9n_s4^>HQG z4oYdiR7KoO{sgep*QIHIfm&We_m|4^a0;q^*m6Jr!4=503FBt}0Z(@vb_(B?xkBA5 z+Xrsx2V1at6*Edh^TIyMHvqGfexMrpZa_3a19b0d*iL)B3W+bWYB{_g8iQjc0>sq! z?q~;^{ju-AOuc%y{m}h={-NeCmT_(J!+?0ZxU+_|OJ$&~$Vps*I5fU9gNT)ns)zsJ zwgdb2PRtKGKMJZC&~&v&%_hLLVIZFJxD3*WFvsi}{CQ|aa9KUhLjr=hCkYbn1r^YY zQ@bkdx?vS`MJ=UE+IQ-jM!)KAB*S2cgowY6c=r$)WUsI(c5Y#Z+t#>ZAKb24_9h6i`4;e!>o9TYh}KV8aK-1*pc z0WvA>>;qsBOc0Ymn8PM&`YgCz=bhv>kl%^v>R#B>27a8!7EU=dT6(Ek8nKl{>B_Md zKEX-&v=_}%OSW^4srgp4<7KW>@w8Zvxyk)mkOd`Uxa~ZVSpd7JraZ#pPXTB_`TW>H z;Ln#^TXjy#8g+}+t{l>k^j8WHoA0ZH7R05Wrl(2TlWwKjx2g(%3~~wFOvkUM zo*e~|NY_PzDX75o3oe9te9dVpnqPn;3q6kKZ>EN2vi+c%7(Zv-(N2&yrh&Ad{rvB~zVszo5mva|@L&veSX7{I~aB-T55c0kEWL9K}=lRA->_hFsf&V4t|!k-eXi znqG!2vId%{rbC0Jh;|ym(!4yi143Kp#ecmqY>qpt!KkA~sKDu98id>k0-E1yr0mSU zCr`~Xss?cqMURpcTjDtie@F}j&(?N2I1#!%JJ=CGvH8^?saFzPe5h#m=0+x;%`{gF zCvo?$!qGzy;Fb=aA#51V(c0)8+MkyL2A0a3IKw>=ljtt4$@DxnMntjH1&%&zV ztVk(+A0eghl$)@j9rE_q5&B*zoA)Cht{_rYzDX2`;j>`hAtT=qf#R5&#_#gzTE9Hx*N znv|QA{|vJ78WQ&fk&ZP6UeGB{dc2bc622g_Bo;xh9MO4Kscl6c%&z6@u4PmlT^-R1sH%i0TYYGu!?ChBOIrlq=_9AP*iCa`>qWWwS&ji^cOUM% zN!of6Y~6J(3HS(yDFn`URIkR+VxbpJY9?4#RMY zENX}TF~yJwb2dLe-~;H~*Tn{=v+<~znaO;?;Nrf5pzG6}Z@lB}Xg5CIgktsjF3X>| z)a<)DbabDa2Da*(&(c)vmZ?Oy9_Vo2;QjPk0^*}q+Mdb1RtsPQBo>|l2|>Lh6IgFB z5li78FCYmot7p|GtF*{H}r7_{R%W%e&x>lvPN?j z2ZZetX(yL`QsC@#Lh@nQJHS&omFB|OvkFV*wZe!{k(F3*>e^{eh+_zE~P6(rWghs zb>3rp19+}`sv`|~iYnkOLyF%)N5MzEnEzGH$ig-+u^frS+3y;jM_V!26uJjDiBHZ+ zPhJ}9%uZ-O30a2JXJC*ZnZj!jev13;PH$WUl0A)6#wnfLM{mKl}5;$Sx| zZ-i}5F&WcB4HfrQ$#Xq%@!3;+wr;AeOJHh+n1` zk8IM+rr;w2OKJIC+2K-)St0}x+;bP7Cd@k<2uh94*368*#DmYPhAzu3AN0|Oa(iqq zu%elb3C%QP5b1YyqJW-?<{NCTwL>$C0q!&yGd|K{qXFPYZL(fFBUz+8dQXpMH9naA zC_FISZ$2OHyUgJ!g6VkT{qP*50G&)(UW`h)_n`aZ=HRDy6lvK07NcFalZsNNPF&X_n+_68QN;tU|}GoEmNZbQ;#yENdnZg z6!^jjoy?sXB-Uq%)i+`P=i-m&3*K8W#q9fdl!=;W%Xse&L5rpjL9Qm=voTB2I9H*- zGUG~*kvFB#t^NcO;Rl&?vK0O&ftf&(tTgzn7dFT&kU$*``YLbwTTyCyM_TIbs4u2^|xVP`bA-AcEOl$gE5R4UcXtEqIz4w4E zQM-Z}$oa_#U#U5#fi+%*D{nKXY{T_YBcKwZ6YmOUF-hETobGc$@_LqZ8tivtVmPk= zn*TZYZjBcez%)<=0{EgRWh>CM2eJG3_nHkz7u9;`a^9DD#v$LRT*tM`Jl0U81G2h4 z*?_WzYx!e9R8>I2HsM{bM2EsMqs zAbx{h2@n|xogu3!v|dZAss$EZ2OAlV3@Dqvemv5$;wOGGlPmFgu!>k^O2_kY=A0Y` ztUOcHj5Q|fjzU_kVrkN)>9mnK?hm(e-NMYLo(MFEk4N^iPt*CE!Qh-ZtcvAK0cB56 zH08j< z&_xey8TJER(2qL(rNe*}?%_aK;VN8oxJ|r%$c?7F4`H+%btvw#Ksxh{L8tD~cqY4- z5d*v8h7c9**rn&G*HmKpjhySOZEQyFa3|j1&KfH)qRf*UkQ$%4%5YpX_Tlo-85wQnipFZ*_=bf$sV96Ez0Gfsa_3+{F8u{-Jb zrKU+5xw`kiviKNZU*V2_0{z?F>k7ryXl~#t=Nm$W`yX!kSWvf8CFbA#A%a72ewdL$ zOuEb)IyCR)`)Y{&mKKgS#8u$YjW_+}0>|lWK}I-(RQmviE8wikx1k`+7h=BkTPG-= z5{6x)J$e}#s6=4&_9ezWwri*SL3ZH&M?7Cc!@A`SdNJ z8R$u`U*DU=d+w?|5dBioIF0iqluuSIP0Mkt1e5^>RZRTu^ycQ4i@LhHr<%QMvd1Eo z`6KYnDTjT1#+c@hg8oE7X#%>v$pJMC(Gc?+53)eIhE%7U_$;LV9B)(J%crmP<2`ir z9A@%y--uGvI1M&4_n)8Td8^KUmBA)CAQ>lu(kv5FSVjzRS+%Ogao+h)1wB{mSa^ez zZ+Le(Z9~+lgD_ii;6-5Dqu^pXAnWHF?HZHVJS4igopSa76wO ztTaLI{JnhxKYQzE@r{+4&-6=-~*X@qbdW+0_mhW@$$yPy^d!WK8O1p4&1ao z64FuC65YVOIpAF-9pKq*m01t^#AH>X)-H_bJdQdD9ehQE^~edk?o&=adpahHu7+35 z_?AeGpzgv+ugg3{xI)1S((MhoDMd3nN?ExyJvs@Nu{>IOI`g>N@~(cJYGCTLu{3)P1OJl2wK#5>9H2kVo8FUxMzBil_k zgUXnNsEa4o43TSWnSv^rN=@T4=-f@E(2QMCRW%g*%9{CbR)~84mUr>O4*bxg{8*Vn zbF!o$F4e_{(dg^MP`LC1sHDH>bJF&*2G$S@tzR1|qCUC{8_cm{1KC-;zQ2AmBDhr2 z?~x-Sd-ql6aY~pazmrR)$o(C&)4Zb&#J=Je*G=vB4YL=Y$sTt1wpcd*Gd! z-mws+E~RH*z2cg$S(UOlF8bk0ZMGCqm)n^PRP6=`Y|2qLl~czywTjN4qdE#K2Vss`$&xLaGS2lM=!qFvBL7n zf{^8<0Rr0Ksg_2`mG@h_p!+Spw%pCWbY!n6q;d5HpX>pZnB7gqz51KTW<=Z~Ra^`L zr_KPvLvgHiDNNk}N=^)C15@hJtn!Jx^5J*8)thpfyPN{}xWDksdJKgMpTybY4`}jd zx%BUxuh~FnCS^E?G-_V%Lm5wq)df_f<#{j7opk7zs7^mwM_BBrZh&;|QPI(4ZmB4^ z=y)U#vB4pHft$mRgTJ*-gw~ODsRO;M?;Qw?4=4-aFH_*J{MqtY-=Ns`D0Hs1`|LFD zFHrUCjF{`>H>v2JIok0=x8~4&C(b0g%>;R`eAz60{|#NicTf2w{LupB&Q-4*v-M#9 z;@fRqu1hSOSeIRt)RSNXg8En^Pr0*rx!<|3F?tGrV(@ch+Hn=1m!)TLLne14{})+7CUMeDquLzRO#w^=@us$OrA!pb@pPct8h zcJDU=Sv?>h%%^)xryt4nsC~me8=Ecr0i|%g>!vEmsENRU?SBLVG3*A8Fo_w3X8p=H zr{`^Cs77pA|E(G(dTU05NQou`bA9weQ&ZnI$7nkiRiY$?@E1UBo`>N31Bat&SOC zyBmH32Z`=_{Q*FO4i*u49osPhrVae|!NecCxm4~0o6S%0NhHD2ke^2mj7K-AJ$=6ffxUtc>fa)^>(}P2R+Lq?dxSLI!Pn7 zoAJ^wA77&fG(~gqbtU5b4Ir2&F6-wDVti8!Vrb{Y2} z<&CJJ+R&&T`*J>q3eUQQBsX-h!JaDD)z_w_U&gEVuvoAn%mjoS)IrH4XAAs>&kU9F zgJbn8ztZqKGOmV87B4^9bnwNExzdZ}wrU%UU;Io5(5a=DPnYF1B}?`ce&fx1bp|bp zO{{QHqXBPHRwOIUg?$)i#~R9+pRMZH+@Z-tkMV5hM!u3g%x*r0D9{IfR^+n*C(*kB z;EFC8@G)=&Bh}*xl@uvSyeIyy8irNGvGa~|OP8)^(%?Qsnjwq5@cb(TPhtJvu>W2x zQnTuPPxaDtxjJGo7zkPZRVV%6#MN4bo?^TA3pX)2d1Xq77B=t$edkRoT5kw0M||;x zA5ZsuNN}h+nrl#k7Ds$GrK^h*_%L%fxGXU)%va-m4;Nv?#}nNRY+uNYE&>a5bKSo% zVM5@MXZ3!0%&6>?+p+Sm6>o9ECDPnIs6I~5+hE)A^F!i?xM?>NAWW4xoNDci{rtob zX>6cxV8GksP+ch^jkX@w-iK+!U_Jyf8hG zy@XB0mrrgDd;^W#1e+IR?!Z0R+{Yxzg_)b}Sx%0N8bjrr)E92&+KnZQ%vc1i5XY77 zkvCN&!x%Ub$YR0|k`6%8xHR5s^475Oc$O#hkT$DcnWHV#`g{=EXW#gMFA5BCShV&o z%*dwLuFh*|p~LZ>mi2q5N{$Lfwj%qZk!4o@vw;+0b_(f4Nj}l3#8ee|(w4>3z&HxnR88uN>{gb9O z6o@x?Cd_k6#3hL}*n1+kL_*qj@Y7kk7~njk8DPplhqsBbhRxtp2!`!>MhQ%~qR*g# zm(KTlj-&?eh>$lqwpxiYb`iM+Fa_qe?Vp&NzZM7>A=@6LySs`h$hSQUzlOriSCsT~>h;`7QiuGB}mpqEY-G!BC<#w)=G z8hMm#;HG+_s!f^VJ*T%HY%8BdxQ|^AkOmj4X#PdnKBUA%e%0dBMDMvSP~-D&7>Zz*-L)GJW~>w^qfA7m8a)FUO@Q=shL>P`x>Y@(+B1bR55gL=}Jr{HGx z7Z~)SvQ3flzB^iE+jX%D?h}uPrZ=c5V5z;)!D3#Z>=ukXFleCj`MzPSzq0(4Rm(fc zmyf5MWsO`T73J{tEX3sI4&8Q<9I^Z}XuB<+Hs=ZOUD+0;s*n3|VrBd7LC2 zsp)C>oL3pT}hvg7-~Fvq0Zeht`PB` zDVMuW8K!kONP(Th8FN8CSNc1lqzpB|1s~Xd{vkrAbpWI7Oh=44-h|j~h&B=rz#sQ) zM?{Ar3Fp)&e)zOdX0huZ?!}$5io{?r(FX@Uf$4LQ0jjnHBG;_%6(4@ou?nDZxx8L{ zhOabS2fW?l#NF(_9u=MWz%jDAgcA^B!NSf&PFr~9n4c0UkBpVS~NgO*RmVe@y?Sf(1J9sPKT7%V;1=#i$7DDW}D;OwXjd zQ~P9%Y+oLO!f)n?J&Hol2U1;#widFY;eQ;FXqcB9QOy$gdy~LVU(fJ#A*p%nMWuVel0>peF#_U3SyIH}LgEb?5ci&U>_R_eID=ulJnU327hLl6TsT4efY#kOZz=!=X8wUd$+d%7yS+MZ{|t;{MD%hW z!U%PZP%+1hD>}8E#y+y2y=CST-UsAlu@)__ zA~Nn~y$4%(lA>z+nKh(81}<#c_G`IdioXobiy1J9H_{4Jut80VsQl_x{k_L7v4M>* z2Cl#6Qd*DUs!4P`f@Gb9OKn%S_EMSGg0njmh6u?Ucq~WT1qgaK%!M?(|1HqVZD`E% zzz$anTk`?dMm0$>lvC4hR2 z@0}-}c#RHdiw5HAedIy>WT+A1x&d@vu@CWlfG9@l7Z$rFm#rOuKMleLzQelQPaGhj zjRC-S-NTP8XD71kuTZ5Ff8`WufyDreu5R~n(!4PFArN*O-$J>;(f8y%*@EQ~Djs7< z^TOl^1E9SHZp)^S&!h!*LgKTf4K^DXAqhga;iMV2g~QGn(?|<^4jDyIo>WtK9Wb({ zV8xkfQ5G=Q`G(1kvISLSr;eaBiiFY!@wCB)U|2nTu$46Ab0i<4;Fc!;+5o13fTP=u zGR~9cM3jWFiK7hbn1ICB=n-frNHieB1Hic0b=sZ`8~EtYZV5k`i||Hd_x@?{29eL1 z4JoU9O^l0-pfU{b#?#x)>1!~jq#gv85>gkVP5uiTq`j2g@YZ8qA0l-t9E-LLHgXLg zh|YC(S~AxJa2`hdMOMsTeaMrN<>kILbOrU7`?=|BsxgQJ8}0n{V`yX<-`p&2GQ|v0 zhi-oBw6YJTK5pH#PHx8-A4>aHAq0?i93qdhv$GYWX=IHacfbBfo?HfTRX{}7Z^39v ztYZ+OR2)w-CFGhNxk_GE%@x4OkOcLyb)39};H2~aT{sCxv5)0{OsqBFuN(%^(fsWA zwNGrKU;H*4dS>A>KG=m-nko<-W!zDE=npK39IcRPxQ0_Tn*feXWh$X0IFem?JnKRV zDQ*2*QzI&w=>>MZWO{{<*3yYd0SXlUPk@9uiv)Wa*9gN;<{F&Lr|T-`NaDkv2Vr#nyWaco2^X9A}b_F29kHrGA;|rOD0a(RTKQ!kWViy1Ijs9K35c&Kt^rbtTS)N9m|esWm&5?#Bk z{=;q&DL}fO{F&W?;6VYmNVRDgdIYJ;0vufR;vA_(rym*RzN z_FfjkYce)V=~~BrJW=iV0ZM=Wj%;cK&UVa3WMp0IJPj&O*C%sp61$W^?1ojz7k934 z7eppPF8~S(61RB*MhgBIyP=FVhVuLJNB-h4l02QA^tFo22Z0Np0bPXXc_)pb1?AE6 z?*20Tt&6Zhh5ND_hI$NS?l}lbS4c-}+wV!9A{BWyUguvk9Yz2XB&OPvnV@M(4P1nW z8wIMH_Egn#B`D=cOLZ---j1oN!Wj;m01UQ4%^$bqU>t_D4NS=!x5+V8T9dKDExyFs7%_#ziiRXw) z{3%6iYwKN{XZ}lKKuYvHj?A@S4pweNU*+B3u(pop;Mn>@Xb?nsfyspb;lcm0s`xj= z^1lfu!AX61GxK!~iy+8AQB#wg#n9x$r8Hz##UrUdB&gg*j4eJ_^VTqchK-o&zI_{d zgbcQt+ra8}p5MEEhoD!8ggr!-y{=r-^3oA4PwB)O+CcCwk{X_E#UQ+f1^l4jLW#29 zNFWB7cKv4r4{4I;aNR){hiM9sSp=IY6jn>xsG4z(v`i!+;;1bT=lVUa7o$fOjg}+PpgP`wc|ryFBs`qU(vvYJ)LyGNd}z zZ@t7!EMjyBS!I3*xPN7n#UGq%w}6$|+;GXeO&;Sjyz!W+V2wwD%DmPC0r4s$dNL0L zqUGGa10jKH5VwNAC~KCy(j~9#1MJnD6KMxTeh10tRa50XN=+If2O#&%TKN6CsB%R_ z)o076WKop>kSh+mNVoR6pC4GN>DP|x0Iaa3Q)n9E;a5#O=MV7cqE;zy$XVI!y2{Yg ztr7Ytw?uz}*;@POS%+oWYdN*$xk?5a^wQBDXG6|#9(rsibvuC1_^F0~R(1g6xip{e z59o!?Q{!^=cc0TtKX7%qP#%3;v=A#IXo-`w$)DYJ&7!@(uzg7ixA1eQX+IS;4LzHT z>3K@ozIzhC@85Swt~!JzE^g>EO|7vd{2 zs!;GM-qcQ+_%aQK2LKw=F-rOozK^1($Ecp^iz9z-3x)d%8Gb^6d(s5{-(bAYq32}D zzth8L?Du=mkVd0tgE}CxM&+aF`lJuO2tp~m6zcV_k=4|PYMmv1%|;9F?!DT6n7lSN z0eCjXxAPI7732{9dU#fLeQ2oWhdL_3PTHpaVZfcw&!d&remqt33-#xs~C}L3*D)0;Ya^`AE>(#!?T!ctT;WWU$5qkcB3u zPLW3QqwwDZlW%7e4u0BBPwk9Ms6N}T}+kl}wrk+iUvXJDecCyqw0?b~z@kkJwS zX-?8yS9XG&J-G$7Mn#a(1B7v}tzp}zdjR$QmYL-D+h8qEXJ0a{ z9||?RPjf4kjQOT!FxdyQe)7KP+33sR80NNQhm)3bWH-1vvM-U5hlc)I5scn8q$xoh z?}H9d!qhh*HS**N0JPX?Thw{t^F@Ggx`a{X8Y-TI6EqjQVMm0q{{sM;zLddj% z9~M=gk=OkLo(5AQwyvM&dBDU_no(EM`Lk^WS1*wTpIrbUR>eMcx79B>Zp(n9n4Z=dG<>5%v(3u60!hd9umV`kjGzYP z+V3*&;rF|;cJibXI&}!Za04zL;OY69H4yY!?V$W7G4W0*1 z73w#lvkn$l0894?Zf!DH5@4gJ=fB@wLuEEfST5CB3>9(s4;p|SUq2P8tYM20JTKmy zC9SOm;WVPUMr%h>0N7(L=>siX;7I)2VV(NoVnOTJvTYYVW_#odGUmMl`V4UwvtGy3 zeagTF_a+FFN81g9sotOnTccn4EMs67mD$XsBl2Ga8l7bl_g`Ch>Sb8?+b?0{@pym+ zwclLZy}s{xXgx-aj>( zMdJAP6M*7M?o7mzC%^9x&w=bV5ya=iM}X5fX6chS4K>X$KX9TIZW#h`>eM6{$rY{I zwtk?3a3U5pPIpLy-39_>oVvD$M38`g$MXO|3`KF|jd2|XCi$eQa1B$btzoBaZ>%-R z3rDc=V@>fo*scNCIx0$clfl*n=WXF|ZSy)@J^)-Iwx1)DU5y5;?$N{EbL0bO`@{v~ zC1j+N5y(^t4vF)t$@=GJ@Ok~ciyXw=u<^pnIz#Qp$Y5imgJ%|(c2456f+`?S_qo}# zYh%+xqZ=9$kM%zd*wQT`B(#n#O#sD&h`Kc@LTKtq-~}?)%lOs&f`$H=svry1hls#- zo>SvmZUQ~a8GFbv-| z+Vq!^q(wHI{>8W_QtLyP!OHl9xJl?C69Vw%JMiG*`f=X^KDQk^%uhN2Hbg}-#A|F{ zN7Rk*`Br*6vZiwiaL*>O*MA+^P;ma^dm&qh_`OCjaE~3@o@8b~O{1a(8@=EYOg@II za4NMo@u%01`v$=A2l_m?x)Fv`V+x|klu37e?fM{OZN|Pts}hg+B(PZX)eWhTI!Sy( z<}R#lPv%o@;`99~0Mg3-iTi6rgn+y}!sa1~hyZBHSMJ4=xjPO0HxNa$);Gx9<0U9` z9S;<)VB0>wx|VcF{k!3KY1lcrB;i|q;(?uk?!o`dH*J9G?)&uoY?Ik=&HOH* ztvGG{K;wbA2n|i{A-$if4{Iq(c3tP$w`G7?y{3;QWBxth=}d7=OzWRt0StIA#Xd{s z>E&`}vH& z*0R@nF2DQlS-|<8|ez%j>Du96|IA`zAbDH=e)ixK&EZgCick5LjzU^{smV_fOiMY02(465(8z zkEvXce_kDj2HBE-@R_Ldp_w9|O1zr#15XWOx((KfPduJA&3#POn z5!`c#m}W3R78j6ZWkxqe7F$d+-q_+eO_og#$>Gd{bga@U1WKB`zYdjk zPRsrv8yo99+Ww+FQ_d3BFSx(?lK{tG67(m;*muJ<4m~m({A{!87fOlFLLXN;Za75C zsTU&AANRfgj2c)Oo>rP!DxrUWhQ2eIc~n}omC(@$FMVoY3W{G4Y|w1*C!c5O;q}d$ zhv(fE{bPTHn!Rp z(z4*%)xXlxG7s}Kd6zHOBIs0Hka49v++%2ZV4$MZV2TBa;E02`>EHCUP0`uGV|nDt zgznZGkd__p$#mdjPsAEZ-2K$+xu9{?j_NVFoGYZGJvMXpREjC(0T%4H9dn(@hfz z_LV+L-+hq%XR*tj4dg$Ua=`AElm;rFyAO)T`D$lUi3nCj;4F6jC4D(L7XFW*Vtk^7 z-2JmI9!7VKWrL(MQ0Rc*KD%_#k*4}dNZ)6by_C{=+Cy5-a+>6ZPnUtE3!|nN8K+3$ z)g)ZeH*GWIgJapDyX6a0a%5y-y~a=)iSR9WknS%Yb-cl8BadXT92n=qApP` z6^YV8wD-)cj#7UgsDJIvdrxVO%?BY&k9MJai1-)w(y(!Rb$PWsm}H#2gIMFqCmbts zrpBjnt7Y0tQ$1$)uZ_<%PQ>dJYdORRYJBiGTk`Zu*I5J_t`O6a2-kJR6K-;DBeX*MpavhB_%^`P*v4VEf=LSBgrl#4?nL@)??(ywjyostd|q>`z;W-H<9D6_^}%JzSut#jSBl z3-j2_B#=F7fO~lzu)`Tywl4Xcy>Ct9D6!Qdc>bCwmm(R*U!)K*RMdO|A2fL}7VC%u z!pe+_x>nT)uQ&9Mb_$|V&v54MrxW2uIuVkas#Va#QJL*hbmY)5a1`3B0a1JNea|R1 z$SFf1wg&bfd+PR}1*a-RFYAWISbLxbEL)HFw-xVryVdp@4>?+7K5PyTn%fMpKb zR>;Y8e5!cO`-j=zyvPx$C9HY(GY7TqgMa+WeT7&*11S!etbN;o8f3LvkH~P3=;(z< zT=EC&e2Y54G;f#U5dWcpe*LtF(E}lp3XSs0Glmu=Cz*at#o`U#sFLs9I(`pz;*OCI zss)`5W92igRRAaoy7n67zb62L{Y(o`zSNHdv|~#=a{djkY-OxvT!BHTyuFk*2p1V< z<9+4j>t=Vp~j3VCmKKDvcb+j6JX|ETQ zbqEI=wE#`3bS*6+^ev#1&T~l_)-`}Z+upWSMQ*NG0@fUxM${v$l}Mfg89I2_vgSQB zYk5Q9Bg?%2C>RM##6pj-?!4?;_plQKowZ39EIZOK9^Srkh;#+7;Z&-UEy#5r$eia! zzQM6V9qF45EvP`(d3XOqee8T~Y^-IxUz{R}y~3f^c@*>I_7ve$V%ejJ!CcXh zx^n%Ydu~eyn}G;gE74OyMfO)A1J8Ea^%Cc%t(}!JVAau3G@KrXT@9?&BgeA3oOo~9 z5@vsF$%Y|d9FLcL7!ah5E%-a~vrQy7ez&qvI*D)cXpPC|u6J+tb|~qmFb?AwRnY)8 z$ymy3w`f)(pvld7IJnKE0mDrWm#mdc{e(DF&%DHvDOH`W!{dZt=cvL5+#WZrcWpW! z%^Fa~-uON=EhV6GS?X4aoyVwiaDn3dI9335@oUU`>!`qe$}T3CbR-CxT9Z%4(gfP9 zV5`~@Te5uUY1)T7UtePYW3H`c*p`%kuV$O0gGZ0Zsw3lvGL)MC5^g#0(l2t%)eL0=7ArbI@b3K9Pj7iA z0Pnm^E4abmJIUPF`s2u>a_bM0geRSUAeyDRe5bz`+6>{~$3-pJs7*V_ei$UvjAeZ@ z+6E60o{z&7EkH^sY~P7i<!@DF7@W5x>HEPb}xRB<{2_#IP zAH9zz;WQIHEES!* z+jSeb2ExxLxpmx>zIBY8u|Ji&<1KgMTLJ@X{YIJoOQYnGnCCw*g~p2|1H`rpQTx-v zk5sQrZ7!?N-n(vT&sbfpXh*0=YM8*I#7eznVCP^y@Q3AW4Y%z_mhn*axmO?@oPljI zjf6&j=%q3GB6yN=oOHaau+f3psD2tjg2)$w99fpmj$1pcW==w@vQ}(q)^IOSyedSY z!+xPy7&j&MC6Hed-rv5dq%^w)F97 z+r55!ZpGFg$2tGjOX}Bd4tF097f#m>(dFS(!k(--IcqQrAKrK&pnDnw$c(QOi~}ZycW$k{(ekBC z7GschYqam#PJa(HcJNHOm^G~ED@ooD+{@^l#;C|$$M+$^nOVUEoDlkH)}DDIYX;%r zdjFXlYLt;YCyhx?9(`35M|v)Mp#itkkrz~R)=tf8yegmSTZvyUq;?iQ8m{w9}1 z*7X^`)$UVlDDq56@LHT&KjPAbpj&J13U@7H`<^Ysrah0jJ;Dg-Xdf_!(Ps>IM%}tw zm$}VPa=U4&^4wFdSwoaLm<1!ecz%>KZG`EIcS!VKS%js^*eEwrGEHBPg^oBM&CPU9 zCr^VI|GnHtH-(GeeVd=i>u{o=n<%%I6h68sB4GY)YD$lS&x3M~h~3+1<)APAoDibb lKRNWL$dMZHf38Erk)D!beepcoDU_YF{{b3^((wQQ From d50199b6ac53d344cedd4425596ea8b32d9a9499 Mon Sep 17 00:00:00 2001 From: Gregory Roberts Date: Wed, 27 Aug 2025 17:14:57 -0400 Subject: [PATCH 6/9] newest patch --- Autograd28RFPatchAntennaS11_v3.ipynb | 5740 +++++++------------------- 1 file changed, 1539 insertions(+), 4201 deletions(-) diff --git a/Autograd28RFPatchAntennaS11_v3.ipynb b/Autograd28RFPatchAntennaS11_v3.ipynb index 86fa0257..649454a3 100644 --- a/Autograd28RFPatchAntennaS11_v3.ipynb +++ b/Autograd28RFPatchAntennaS11_v3.ipynb @@ -23,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 45, "metadata": { "editable": true, "slideshow": { @@ -72,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ @@ -126,11 +126,7 @@ "# materials for optimization\n", "#\n", "air = td.Medium() # set up the antennas so they radiate into air\n", - "# eps_r = 2.2 # substrate permittivity for antennas\n", - "# sub_medium = td.Medium(permittivity=eps_r)\n", "# choose common PCB material for substrate\n", - "sub_medium = rf_material_library['FR4']['standard']\n", - "sub_medium = rf_material_library['RO3003']['design']\n", "sub_medium = rf_material_library['AD255C']['design']\n", "PEC = td.PEC2D # Thickness-free PEC medium for antenna patches, feed lines, and the ground plane" ] @@ -146,15 +142,15 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "def create_base_sim(sub_x_bounds, sub_y_bounds):\n", " \"\"\"\n", " Creates the base simulation for evaluating and optimizing patch antennas. The base simulation includes the\n", - " substrate geometry, and ground plane. It also overrides the vertical\n", - " slice of the simulation with a fine mesh override to ensure accurate simulation and gradients near PEC boundaries.\n", + " substrate geometry, and ground plane. It also overrides a vertical slice of the simulation where the feed and\n", + " patch will be placed with a fine mesh override to ensure accurate simulation and gradients near the PEC boundaries.\n", " \"\"\"\n", " substrate_box = td.Box.from_bounds(\n", " [sub_x_bounds[0], sub_y_bounds[0], -sub_z / 2.0],\n", @@ -242,7 +238,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -276,7 +272,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -301,7 +297,8 @@ " simulation=simulation,\n", " ports=[port],\n", " freqs=frequencies,\n", - " verbose=True,\n", + " verbose=False,\n", + " # local_gradient=True,\n", " remove_dc_component=False, # Include DC component for more accuracy at low frequencies\n", " radiation_monitors=radiation_monitors,\n", " )\n", @@ -320,7 +317,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -368,7 +365,7 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ @@ -412,25 +409,14 @@ " modeler = create_modeler(\n", " sim_with_directivity, eval_freqs, radiation_monitors=[monitor_directivity]\n", " )\n", - " batch_data = {\n", - " task_name: run(\n", - " simulation=simulation,\n", - " verbose=False,\n", - " local_gradient=True,\n", - " task_name=\"PatchAntennaEval\",\n", - " worker_group=\"belmont\",\n", - " )\n", - " for task_name, simulation in modeler.sim_dict.items()\n", - " }\n", - " sim_data = batch_data[\"smatrix_lumped_port\"]\n", + "\n", + " s_matrix = modeler._construct_smatrix()\n", + " sim_data = modeler.batch_data[\"smatrix_lumped_port\"]\n", "\n", " antenna_parameters_freq = modeler.get_antenna_metrics_data(\n", - " monitor_name=\"directivity\", batch_data=batch_data\n", - " )\n", + " monitor_name=\"directivity\")\n", " partial_realized_gain = antenna_parameters_freq.partial_realized_gain(pol_basis=\"linear\")\n", "\n", - " s_matrix = modeler._construct_smatrix()\n", - "\n", " return s_matrix, sim_data, theta, partial_realized_gain" ] }, @@ -443,7 +429,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ @@ -454,7 +440,7 @@ " opt_freqs,\n", " theta,\n", " plot_phi,\n", - " plot_title=None,\n", + " plot_title=\"Antenna Simulation Comparison\",\n", " sim_names=None,\n", " single_color_gain_plots=False,\n", " savefig_fname=None,\n", @@ -469,10 +455,13 @@ " partial_realized_gain_list: List of realized gain in linear polarization for each simulation.\n", " opt_freqs: List of optimization frequencies to plot for directivity.\n", " theta: Numpy array of theta angles for polar plots.\n", + " plot_phi: The phi value to select in the realized gain data for plotting.\n", + " plot_title: Optional title to specify for plot (default is \"Antenna Simulation Comparison\").\n", " sim_names: Optional list of names for simulations for clearer legends.\n", - " single_color_gain_plots: Whether or not to use a single color for all the frequencies\n", - " in the gain plot or have each frequency a different color\n", - " savefig_fname: A filename to save the resulting figure\n", + " single_color_gain_plots: Optional choice to use a single color for all the frequencies\n", + " in the gain plot (True) or have each frequency a different\n", + " color (False). Default is False.\n", + " savefig_fname: An optional filename to save the resulting figure\n", " \"\"\"\n", "\n", " num_simulations = len(s_matrix_list)\n", @@ -484,8 +473,8 @@ " sim_names = [f\"Sim {i+1}\" for i in range(num_simulations)]\n", "\n", " grid_spec_cols = 3 # S11 and realized gain for each polarization side-by-side\n", - " fig_width = 13.5 # set for three plots\n", - " fig_height = 6.5 # slightly more height for polar plot legend\n", + " fig_width = grid_spec_cols * 4.5\n", + " fig_height = 6.5\n", "\n", " num_rows = 1\n", "\n", @@ -515,7 +504,7 @@ " s11_values_db,\n", " alpha=current_alpha,\n", " label=f\"{sim_label_name})\",\n", - " ) # Label for legend\n", + " )\n", "\n", " impedances_norm = (1 + s11_values_flat) / (1 - s11_values_flat)\n", "\n", @@ -579,10 +568,7 @@ " ax_polar.set_rlim(0, overall_max_gain * 1.1 if overall_max_gain > 0 else 1.0)\n", " ax_polar.legend(title=\"Frequency (GHz)\", loc=\"best\", fontsize=\"small\")\n", "\n", - " if plot_title:\n", - " fig.suptitle(plot_title, fontsize=16)\n", - " else:\n", - " fig.suptitle(\"Antenna Simulation Comparison\", fontsize=16)\n", + " fig.suptitle(plot_title, fontsize=16)\n", "\n", " if savefig_fname:\n", " plt.savefig(savefig_fname)\n", @@ -590,8 +576,18 @@ " plt.show()\n", "\n", "\n", - "def plot_antenna_evolution(s11_dB, s11_f, partial_realized_gain, gain_freqs, theta):\n", - " num_lines = len(s11_dB)\n", + "def plot_antenna_evolution(s11_sq_dB, s11_f, partial_realized_gain, gain_freqs, theta):\n", + " \"\"\"Plots the evolution of the antenna S11 and and realized gain throughout an optimization.\n", + " Args:\n", + " s11_sq_dB: List of |S11|^2 (in dB) at each point in optimization. The length should match the\n", + " length of `partial_realized_gain`\n", + " s11_f: Frequencies for each S11 array\n", + " partial_realized_gain: List of realized gain objects broken into linear polarization. The length\n", + " of this list should match the length of `s11_sq_dB`\n", + " gain_freqs: List of frequencies for each realized gain object.\n", + " theta: List of theta values for each realized gain object.\n", + " \"\"\"\n", + " num_lines = len(s11_sq_dB)\n", "\n", " alphas = np.linspace(0.25, 1.0, num_lines)\n", "\n", @@ -613,13 +609,12 @@ " color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", "\n", " for idx in range(0, num_lines):\n", - " ax_s11.plot(s11_f, s11_dB[idx], color=color_cycle[0], linewidth=1.5, alpha=alphas[idx])\n", + " ax_s11.plot(s11_f, s11_sq_dB[idx], color=color_cycle[0], linewidth=1.5, alpha=alphas[idx])\n", "\n", " ax_s11.set_ylim(-25, 2)\n", " ax_s11.grid(True)\n", - " # ax_s11.legend()\n", "\n", - " def add_polar_sequence(grid_col, pol_component, plot_phi, title):\n", + " def add_polar_sequence(grid_col, pol_component, title):\n", " ax_polar = fig.add_subplot(gs[0, grid_col], projection=\"polar\")\n", " axs_list.append(ax_polar)\n", " ax_polar.set_title(f\"Realized Gain for {pol_component}\")\n", @@ -645,8 +640,8 @@ " \n", " ax_polar.set_title(title)\n", "\n", - " add_polar_sequence(1, \"Gtheta\", 0, f\"Realized Gain\\n(Gtheta), phi=0\")\n", - " add_polar_sequence(2, \"Gphi\", np.pi / 2., f\"Realized Gain\\n(Gtheta), phi=0\")\n", + " add_polar_sequence(1, \"Gtheta\", f\"Realized Gain\\n(Gtheta), phi=0\")\n", + " add_polar_sequence(2, \"Gphi\", f\"Realized Gain\\n(Gphi), phi=0\")\n", "\n", " plt.show()" ] @@ -660,7 +655,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 53, "metadata": {}, "outputs": [], "source": [ @@ -800,14 +795,11 @@ }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ - "from tidy3d.components.autograd import get_static\n", - "\n", - "\n", - "def compute_gain(\n", + "def compute_poynting(\n", " patch_params,\n", " patch_params_to_boxes,\n", " sub_x_bounds,\n", @@ -843,14 +835,12 @@ " verbose=False,\n", " local_gradient=True,\n", " task_name=\"StaticPatchAntennaOptimization\",\n", - " worker_group=\"belmont\",\n", " )\n", " for task_name, simulation in modeler.sim_dict.items()\n", " }\n", "\n", " antenna_parameters_freq = modeler.get_antenna_metrics_data(\n", - " monitor_name=\"directivity\", batch_data=batch_data\n", - " )\n", + " monitor_name=\"directivity\")\n", "\n", " s_matrix = modeler._internal_construct_smatrix(batch_data=batch_data)\n", " projector = td.FieldProjector.from_near_field_monitors(\n", @@ -859,16 +849,6 @@ " normal_dirs=[\"+\"], # we are projecting along the +z direction\n", " )\n", " radiation_data = projector.project_fields(optimization_monitors[-1])\n", - "\n", - " partial_directivity = td.DirectivityData.partial_directivity_static(\n", - " radiation_data.Etheta,\n", - " radiation_data.Ephi,\n", - " radiation_data.Htheta,\n", - " radiation_data.Hphi,\n", - " optimization_monitors[-1].proj_distance,\n", - " antenna_parameters_freq.radiated_power,\n", - " )\n", - "\n", " poynting_flux = np.abs(\n", " np.real(\n", " 0.5\n", @@ -879,9 +859,7 @@ " )\n", " )\n", "\n", - " gain = antenna_parameters_freq.realized_gain_from_directivity(partial_directivity)\n", - "\n", - " return gain, poynting_flux\n", + " return poynting_flux\n", "\n", "\n", "def objective_fn(\n", @@ -891,9 +869,7 @@ " sub_y_bounds,\n", " optimization_monitors,\n", " opt_freqs,\n", - " initial_gain,\n", " poynting_flux_initial,\n", - " just_worst_s11=False,\n", "):\n", " \"\"\"\n", " Objective function for an antenna optimization that converts `patch_params` into tidy3d Box\n", @@ -924,18 +900,6 @@ "\n", " modeler = create_modeler(sim_with_patches, modeler_freqs)\n", "\n", - " # run the simulations for the antenna\n", - " batch_data = {\n", - " task_name: run(\n", - " simulation=simulation,\n", - " verbose=False,\n", - " local_gradient=True,\n", - " task_name=\"PatchAntennaOptimization\",\n", - " worker_group=\"belmont\",\n", - " )\n", - " for task_name, simulation in modeler.sim_dict.items()\n", - " }\n", - "\n", " def weights_from_merit(merit):\n", " \"\"\"\n", " Computes performance based weights that sum to a total weight of 1.\n", @@ -952,13 +916,19 @@ "\n", " return renorm_weights\n", "\n", - " s_matrix = modeler._internal_construct_smatrix(batch_data=batch_data)\n", + " s_matrix = modeler._construct_smatrix()\n", + " radiation_monitors = [m for m in optimization_monitors if m.name == \"radiation\"]\n", + " far_field_monitor = [m for m in optimization_monitors if m.name == \"far_field\"][0]\n", + "\n", + " # Set up a `FieldProjector` based on the 'radiation' monitor near the patch\n", " projector = td.FieldProjector.from_near_field_monitors(\n", - " sim_data=batch_data[\"smatrix_lumped_port\"],\n", - " near_monitors=[optimization_monitors[-2]],\n", + " sim_data=modeler.batch_data[\"smatrix_lumped_port\"],\n", + " near_monitors=radiation_monitors,\n", " normal_dirs=[\"+\"], # projecting along the +z direction\n", " )\n", - " radiation_data = projector.project_fields(optimization_monitors[-1])\n", + " # Project this near field into the subset of far field components\n", + " # specified by the 'far_field' monitor\n", + " radiation_data = projector.project_fields(far_field_monitor)\n", "\n", " poynting_flux = np.abs(\n", " np.real(\n", @@ -1004,12 +974,12 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 70, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "

" ] @@ -1061,20 +1031,27 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 71, "metadata": { "scrolled": true }, "outputs": [ { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6f1ae0e2c47e427286ad33e10b6a63fd", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 1\n",
+       "        Gradient (width, height): -0.00003814, -0.00001\n",
+       "        Updates (width, height): -29.99194527, -29.97\n",
+       "        Params (width, height): 12420.00781250, 15970.03\n",
+       "        Figure of merit:          0.10\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 1\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00003814, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.99194527, -29.97\u001b[0m\n", + " Params (width, height): \u001b[34m12420.00781250, 15970.03\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.10\u001b[0m\n" ] }, "metadata": {}, @@ -1083,9 +1060,20 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 2\n",
+       "        Gradient (width, height): -0.00002753, -0.00001\n",
+       "        Updates (width, height): -29.07702637, -30.10\n",
+       "        Params (width, height): 12390.93066406, 15939.93\n",
+       "        Figure of merit:          0.10\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 2\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00002753, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.07702637, -30.10\u001b[0m\n", + " Params (width, height): \u001b[34m12390.93066406, 15939.93\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.10\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" @@ -1093,11 +1081,19 @@ { "data": { "text/html": [ - "
15:56:52 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
Iteration 3\n",
+       "        Gradient (width, height): -0.00003017, -0.00002\n",
+       "        Updates (width, height): -29.18604279, -30.41\n",
+       "        Params (width, height): 12361.74414062, 15909.51\n",
+       "        Figure of merit:          0.11\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m15:56:52 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[1;36mIteration 3\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00003017, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.18604279, -30.41\u001b[0m\n", + " Params (width, height): \u001b[34m12361.74414062, 15909.51\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.11\u001b[0m\n" ] }, "metadata": {}, @@ -1106,11 +1102,19 @@ { "data": { "text/html": [ - "
15:56:55 EDT Maximum FlexCredit cost: 0.192 for the whole batch.                \n",
+       "
Iteration 4\n",
+       "        Gradient (width, height): -0.00003295, -0.00003\n",
+       "        Updates (width, height): -29.51652336, -30.12\n",
+       "        Params (width, height): 12332.22753906, 15879.39\n",
+       "        Figure of merit:          0.11\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m15:56:55 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.192\u001b[0m for the whole batch. \n" + "\u001b[1;36mIteration 4\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00003295, -0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.51652336, -30.12\u001b[0m\n", + " Params (width, height): \u001b[34m12332.22753906, 15879.39\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.11\u001b[0m\n" ] }, "metadata": {}, @@ -1119,13 +1123,19 @@ { "data": { "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
+       "
Iteration 5\n",
+       "        Gradient (width, height): -0.00003478, -0.00002\n",
+       "        Updates (width, height): -29.85807610, -30.02\n",
+       "        Params (width, height): 12302.36914062, 15849.37\n",
+       "        Figure of merit:          0.12\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" + "\u001b[1;36mIteration 5\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00003478, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.85807610, -30.02\u001b[0m\n", + " Params (width, height): \u001b[34m12302.36914062, 15849.37\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" ] }, "metadata": {}, @@ -1133,13 +1143,20 @@ }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "1d8fe5f854cb47aea9dfcf60edfc1f8b", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 6\n",
+       "        Gradient (width, height): -0.00003801, -0.00001\n",
+       "        Updates (width, height): -30.31881714, -29.13\n",
+       "        Params (width, height): 12272.05078125, 15820.24\n",
+       "        Figure of merit:          0.12\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 6\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00003801, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-30.31881714, -29.13\u001b[0m\n", + " Params (width, height): \u001b[34m12272.05078125, 15820.24\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" ] }, "metadata": {}, @@ -1148,11 +1165,19 @@ { "data": { "text/html": [ - "
15:56:56 EDT Batch complete.                                                    \n",
+       "
Iteration 7\n",
+       "        Gradient (width, height): -0.00000721, -0.00001\n",
+       "        Updates (width, height): -26.11418343, -28.78\n",
+       "        Params (width, height): 12245.93652344, 15791.46\n",
+       "        Figure of merit:          0.13\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m15:56:56 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + "\u001b[1;36mIteration 7\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00000721, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-26.11418343, -28.78\u001b[0m\n", + " Params (width, height): \u001b[34m12245.93652344, 15791.46\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.13\u001b[0m\n" ] }, "metadata": {}, @@ -1161,22 +1186,40 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 8\n",
+       "        Gradient (width, height): -0.00002696, -0.00001\n",
+       "        Updates (width, height): -26.46311569, -26.63\n",
+       "        Params (width, height): 12219.47363281, 15764.84\n",
+       "        Figure of merit:          0.13\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 8\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00002696, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-26.46311569, -26.63\u001b[0m\n", + " Params (width, height): \u001b[34m12219.47363281, 15764.84\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.13\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "cb4bc435240946179e6dc22e07dc9c0f", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 9\n",
+       "        Gradient (width, height): -0.00004401, -0.00003\n",
+       "        Updates (width, height): -28.62040329, -29.14\n",
+       "        Params (width, height): 12190.85351562, 15735.69\n",
+       "        Figure of merit:          0.14\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 9\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00004401, -0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-28.62040329, -29.14\u001b[0m\n", + " Params (width, height): \u001b[34m12190.85351562, 15735.69\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" ] }, "metadata": {}, @@ -1185,22 +1228,40 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 10\n",
+       "        Gradient (width, height): -0.00005951, -0.00004\n",
+       "        Updates (width, height): -31.02918243, -31.80\n",
+       "        Params (width, height): 12159.82421875, 15703.90\n",
+       "        Figure of merit:          0.14\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 10\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00005951, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-31.02918243, -31.80\u001b[0m\n", + " Params (width, height): \u001b[34m12159.82421875, 15703.90\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9067c298da264eac8b5acf9f962bc6ac", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 11\n",
+       "        Gradient (width, height): -0.00007552, -0.00002\n",
+       "        Updates (width, height): -33.18568420, -30.55\n",
+       "        Params (width, height): 12126.63867188, 15673.35\n",
+       "        Figure of merit:          0.14\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 11\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00007552, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-33.18568420, -30.55\u001b[0m\n", + " Params (width, height): \u001b[34m12126.63867188, 15673.35\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" ] }, "metadata": {}, @@ -1209,9 +1270,20 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 12\n",
+       "        Gradient (width, height): -0.00008816, -0.00002\n",
+       "        Updates (width, height): -34.93735123, -29.72\n",
+       "        Params (width, height): 12091.70117188, 15643.63\n",
+       "        Figure of merit:          0.15\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 12\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00008816, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-34.93735123, -29.72\u001b[0m\n", + " Params (width, height): \u001b[34m12091.70117188, 15643.63\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.15\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" @@ -1219,11 +1291,19 @@ { "data": { "text/html": [ - "
16:02:37 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
Iteration 13\n",
+       "        Gradient (width, height): -0.00006964, -0.00002\n",
+       "        Updates (width, height): -35.33975220, -29.58\n",
+       "        Params (width, height): 12056.36132812, 15614.04\n",
+       "        Figure of merit:          0.17\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m16:02:37 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[1;36mIteration 13\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00006964, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-35.33975220, -29.58\u001b[0m\n", + " Params (width, height): \u001b[34m12056.36132812, 15614.04\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.17\u001b[0m\n" ] }, "metadata": {}, @@ -1232,11 +1312,19 @@ { "data": { "text/html": [ - "
16:02:44 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
Iteration 14\n",
+       "        Gradient (width, height): -0.00007797, -0.00002\n",
+       "        Updates (width, height): -35.98292923, -30.27\n",
+       "        Params (width, height): 12020.37792969, 15583.78\n",
+       "        Figure of merit:          0.18\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m16:02:44 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + "\u001b[1;36mIteration 14\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00007797, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-35.98292923, -30.27\u001b[0m\n", + " Params (width, height): \u001b[34m12020.37792969, 15583.78\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.18\u001b[0m\n" ] }, "metadata": {}, @@ -1245,13 +1333,19 @@ { "data": { "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
+       "
Iteration 15\n",
+       "        Gradient (width, height): -0.00008666, -0.00005\n",
+       "        Updates (width, height): -36.76580811, -33.98\n",
+       "        Params (width, height): 11983.61230469, 15549.80\n",
+       "        Figure of merit:          0.19\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" + "\u001b[1;36mIteration 15\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00008666, -0.00005\u001b[0m\n", + " Updates (width, height): \u001b[35m-36.76580811, -33.98\u001b[0m\n", + " Params (width, height): \u001b[34m11983.61230469, 15549.80\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.19\u001b[0m\n" ] }, "metadata": {}, @@ -1259,13 +1353,20 @@ }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "fd8370ed594a477899777b57b44178d2", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 16\n",
+       "        Gradient (width, height): -0.00009268, -0.00004\n",
+       "        Updates (width, height): -37.49803543, -34.86\n",
+       "        Params (width, height): 11946.11425781, 15514.94\n",
+       "        Figure of merit:          0.21\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 16\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00009268, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-37.49803543, -34.86\u001b[0m\n", + " Params (width, height): \u001b[34m11946.11425781, 15514.94\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.21\u001b[0m\n" ] }, "metadata": {}, @@ -1274,11 +1375,19 @@ { "data": { "text/html": [ - "
16:02:45 EDT Batch complete.                                                    \n",
+       "
Iteration 17\n",
+       "        Gradient (width, height): -0.00000591, -0.00003\n",
+       "        Updates (width, height): -31.38626289, -34.09\n",
+       "        Params (width, height): 11914.72753906, 15480.85\n",
+       "        Figure of merit:          0.22\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m16:02:45 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + "\u001b[1;36mIteration 17\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00000591, -0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-31.38626289, -34.09\u001b[0m\n", + " Params (width, height): \u001b[34m11914.72753906, 15480.85\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.22\u001b[0m\n" ] }, "metadata": {}, @@ -1287,22 +1396,40 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 18\n",
+       "        Gradient (width, height): -0.00006996, -0.00003\n",
+       "        Updates (width, height): -32.10238266, -33.89\n",
+       "        Params (width, height): 11882.62500000, 15446.96\n",
+       "        Figure of merit:          0.23\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 18\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00006996, -0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-32.10238266, -33.89\u001b[0m\n", + " Params (width, height): \u001b[34m11882.62500000, 15446.96\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.23\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "adf6e4b0696b4868b9cab835730f234f", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 19\n",
+       "        Gradient (width, height): -0.00012461, -0.00004\n",
+       "        Updates (width, height): -35.48598480, -34.69\n",
+       "        Params (width, height): 11847.13867188, 15412.27\n",
+       "        Figure of merit:          0.24\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 19\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00012461, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-35.48598480, -34.69\u001b[0m\n", + " Params (width, height): \u001b[34m11847.13867188, 15412.27\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.24\u001b[0m\n" ] }, "metadata": {}, @@ -1311,9 +1438,20 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 20\n",
+       "        Gradient (width, height): -0.00017479, -0.00007\n",
+       "        Updates (width, height): -39.04997635, -38.63\n",
+       "        Params (width, height): 11808.08886719, 15373.64\n",
+       "        Figure of merit:          0.25\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 20\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00017479, -0.00007\u001b[0m\n", + " Updates (width, height): \u001b[35m-39.04997635, -38.63\u001b[0m\n", + " Params (width, height): \u001b[34m11808.08886719, 15373.64\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.25\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" @@ -1321,19 +1459,19 @@ { "data": { "text/html": [ - "
Iteration 1\n",
-       "        Gradient (width, height): -0.00004649, -0.00002\n",
-       "        Updates (width, height): -29.99335480, -29.99\n",
-       "        Params (width, height): 12420.00683594, 15970.01\n",
-       "        Figure of merit:          0.10\n",
+       "
Iteration 21\n",
+       "        Gradient (width, height): -0.00022474, -0.00003\n",
+       "        Updates (width, height): -41.99430847, -37.49\n",
+       "        Params (width, height): 11766.09472656, 15336.16\n",
+       "        Figure of merit:          0.27\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 1\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00004649, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.99335480, -29.99\u001b[0m\n", - " Params (width, height): \u001b[34m12420.00683594, 15970.01\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.10\u001b[0m\n" + "\u001b[1;36mIteration 21\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00022474, -0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-41.99430847, -37.49\u001b[0m\n", + " Params (width, height): \u001b[34m11766.09472656, 15336.16\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.27\u001b[0m\n" ] }, "metadata": {}, @@ -1342,19 +1480,19 @@ { "data": { "text/html": [ - "
Iteration 2\n",
-       "        Gradient (width, height): -0.00002037, -0.00003\n",
-       "        Updates (width, height): -26.72758293, -30.14\n",
-       "        Params (width, height): 12393.27929688, 15939.88\n",
-       "        Figure of merit:          0.11\n",
+       "
Iteration 22\n",
+       "        Gradient (width, height): -0.00019917, -0.00004\n",
+       "        Updates (width, height): -43.37148285, -36.94\n",
+       "        Params (width, height): 11722.72363281, 15299.21\n",
+       "        Figure of merit:          0.32\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 2\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00002037, -0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-26.72758293, -30.14\u001b[0m\n", - " Params (width, height): \u001b[34m12393.27929688, 15939.88\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.11\u001b[0m\n" + "\u001b[1;36mIteration 22\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00019917, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-43.37148285, -36.94\u001b[0m\n", + " Params (width, height): \u001b[34m11722.72363281, 15299.21\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.32\u001b[0m\n" ] }, "metadata": {}, @@ -1363,19 +1501,19 @@ { "data": { "text/html": [ - "
Iteration 3\n",
-       "        Gradient (width, height): -0.00003684, -0.00004\n",
-       "        Updates (width, height): -28.14077759, -30.44\n",
-       "        Params (width, height): 12365.13867188, 15909.43\n",
-       "        Figure of merit:          0.11\n",
+       "
Iteration 23\n",
+       "        Gradient (width, height): -0.00023876, -0.00001\n",
+       "        Updates (width, height): -44.86957169, -32.04\n",
+       "        Params (width, height): 11677.85449219, 15267.17\n",
+       "        Figure of merit:          0.37\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 3\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00003684, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-28.14077759, -30.44\u001b[0m\n", - " Params (width, height): \u001b[34m12365.13867188, 15909.43\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.11\u001b[0m\n" + "\u001b[1;36mIteration 23\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00023876, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-44.86957169, -32.04\u001b[0m\n", + " Params (width, height): \u001b[34m11677.85449219, 15267.17\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.37\u001b[0m\n" ] }, "metadata": {}, @@ -1384,19 +1522,19 @@ { "data": { "text/html": [ - "
Iteration 4\n",
-       "        Gradient (width, height): -0.00005129, -0.00004\n",
-       "        Updates (width, height): -29.49263763, -30.78\n",
-       "        Params (width, height): 12335.64648438, 15878.65\n",
-       "        Figure of merit:          0.12\n",
+       "
Iteration 24\n",
+       "        Gradient (width, height): -0.00028089, -0.00009\n",
+       "        Updates (width, height): -46.31550980, -37.97\n",
+       "        Params (width, height): 11631.53906250, 15229.21\n",
+       "        Figure of merit:          0.42\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 4\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00005129, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.49263763, -30.78\u001b[0m\n", - " Params (width, height): \u001b[34m12335.64648438, 15878.65\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" + "\u001b[1;36mIteration 24\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00028089, -0.00009\u001b[0m\n", + " Updates (width, height): \u001b[35m-46.31550980, -37.97\u001b[0m\n", + " Params (width, height): \u001b[34m11631.53906250, 15229.21\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.42\u001b[0m\n" ] }, "metadata": {}, @@ -1405,19 +1543,19 @@ { "data": { "text/html": [ - "
Iteration 5\n",
-       "        Gradient (width, height): -0.00006396, -0.00001\n",
-       "        Updates (width, height): -30.53754425, -26.17\n",
-       "        Params (width, height): 12305.10937500, 15852.48\n",
-       "        Figure of merit:          0.12\n",
+       "
Iteration 25\n",
+       "        Gradient (width, height): -0.00032067, -0.00017\n",
+       "        Updates (width, height): -47.59043884, -43.07\n",
+       "        Params (width, height): 11583.94824219, 15186.13\n",
+       "        Figure of merit:          0.47\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 5\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00006396, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-30.53754425, -26.17\u001b[0m\n", - " Params (width, height): \u001b[34m12305.10937500, 15852.48\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" + "\u001b[1;36mIteration 25\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00032067, -0.00017\u001b[0m\n", + " Updates (width, height): \u001b[35m-47.59043884, -43.07\u001b[0m\n", + " Params (width, height): \u001b[34m11583.94824219, 15186.13\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.47\u001b[0m\n" ] }, "metadata": {}, @@ -1426,19 +1564,19 @@ { "data": { "text/html": [ - "
Iteration 6\n",
-       "        Gradient (width, height): -0.00007814, -0.00003\n",
-       "        Updates (width, height): -31.45319176, -26.49\n",
-       "        Params (width, height): 12273.65625000, 15826.00\n",
-       "        Figure of merit:          0.13\n",
+       "
Iteration 26\n",
+       "        Gradient (width, height): -0.00022194, -0.00006\n",
+       "        Updates (width, height): -46.52510452, -41.42\n",
+       "        Params (width, height): 11537.42285156, 15144.71\n",
+       "        Figure of merit:          0.52\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 6\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00007814, -0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-31.45319176, -26.49\u001b[0m\n", - " Params (width, height): \u001b[34m12273.65625000, 15826.00\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.13\u001b[0m\n" + "\u001b[1;36mIteration 26\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00022194, -0.00006\u001b[0m\n", + " Updates (width, height): \u001b[35m-46.52510452, -41.42\u001b[0m\n", + " Params (width, height): \u001b[34m11537.42285156, 15144.71\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.52\u001b[0m\n" ] }, "metadata": {}, @@ -1447,19 +1585,19 @@ { "data": { "text/html": [ - "
Iteration 7\n",
-       "        Gradient (width, height): -0.00008505, -0.00004\n",
-       "        Updates (width, height): -32.22628784, -28.23\n",
-       "        Params (width, height): 12241.42968750, 15797.77\n",
-       "        Figure of merit:          0.13\n",
+       "
Iteration 27\n",
+       "        Gradient (width, height): -0.00048062, -0.00007\n",
+       "        Updates (width, height): -48.85026932, -40.79\n",
+       "        Params (width, height): 11488.57226562, 15103.93\n",
+       "        Figure of merit:          0.56\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 7\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00008505, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-32.22628784, -28.23\u001b[0m\n", - " Params (width, height): \u001b[34m12241.42968750, 15797.77\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.13\u001b[0m\n" + "\u001b[1;36mIteration 27\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00048062, -0.00007\u001b[0m\n", + " Updates (width, height): \u001b[35m-48.85026932, -40.79\u001b[0m\n", + " Params (width, height): \u001b[34m11488.57226562, 15103.93\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.56\u001b[0m\n" ] }, "metadata": {}, @@ -1468,19 +1606,19 @@ { "data": { "text/html": [ - "
Iteration 8\n",
-       "        Gradient (width, height): -0.00009270, -0.00005\n",
-       "        Updates (width, height): -32.91765213, -29.97\n",
-       "        Params (width, height): 12208.51171875, 15767.79\n",
-       "        Figure of merit:          0.14\n",
+       "
Iteration 28\n",
+       "        Gradient (width, height): -0.00069851, -0.00013\n",
+       "        Updates (width, height): -50.79639435, -43.85\n",
+       "        Params (width, height): 11437.77539062, 15060.08\n",
+       "        Figure of merit:          0.60\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 8\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00009270, -0.00005\u001b[0m\n", - " Updates (width, height): \u001b[35m-32.91765213, -29.97\u001b[0m\n", - " Params (width, height): \u001b[34m12208.51171875, 15767.79\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" + "\u001b[1;36mIteration 28\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00069851, -0.00013\u001b[0m\n", + " Updates (width, height): \u001b[35m-50.79639435, -43.85\u001b[0m\n", + " Params (width, height): \u001b[34m11437.77539062, 15060.08\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.60\u001b[0m\n" ] }, "metadata": {}, @@ -1488,13 +1626,20 @@ }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "d0f84091982447ab8fd24c11854edba1", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 29\n",
+       "        Gradient (width, height): -0.00067846, -0.00028\n",
+       "        Updates (width, height): -52.07724762, -47.99\n",
+       "        Params (width, height): 11385.69824219, 15012.09\n",
+       "        Figure of merit:          0.76\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 29\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00067846, -0.00028\u001b[0m\n", + " Updates (width, height): \u001b[35m-52.07724762, -47.99\u001b[0m\n", + " Params (width, height): \u001b[34m11385.69824219, 15012.09\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.76\u001b[0m\n" ] }, "metadata": {}, @@ -1503,9 +1648,20 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 30\n",
+       "        Gradient (width, height): -0.00098061, -0.00011\n",
+       "        Updates (width, height): -53.50069809, -46.18\n",
+       "        Params (width, height): 11332.19726562, 14965.91\n",
+       "        Figure of merit:          1.03\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 30\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00098061, -0.00011\u001b[0m\n", + " Updates (width, height): \u001b[35m-53.50069809, -46.18\u001b[0m\n", + " Params (width, height): \u001b[34m11332.19726562, 14965.91\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.03\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" @@ -1513,11 +1669,19 @@ { "data": { "text/html": [ - "
16:22:39 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
Iteration 31\n",
+       "        Gradient (width, height): -0.00123898, -0.00005\n",
+       "        Updates (width, height): -54.72206497, -40.91\n",
+       "        Params (width, height): 11277.47558594, 14925.00\n",
+       "        Figure of merit:          1.25\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m16:22:39 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[1;36mIteration 31\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00123898, -0.00005\u001b[0m\n", + " Updates (width, height): \u001b[35m-54.72206497, -40.91\u001b[0m\n", + " Params (width, height): \u001b[34m11277.47558594, 14925.00\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.25\u001b[0m\n" ] }, "metadata": {}, @@ -1526,11 +1690,19 @@ { "data": { "text/html": [ - "
16:22:53 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
Iteration 32\n",
+       "        Gradient (width, height): -0.00022887, -0.00042\n",
+       "        Updates (width, height): -47.96701431, -47.35\n",
+       "        Params (width, height): 11229.50878906, 14877.65\n",
+       "        Figure of merit:          1.47\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m16:22:53 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + "\u001b[1;36mIteration 32\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00022887, -0.00042\u001b[0m\n", + " Updates (width, height): \u001b[35m-47.96701431, -47.35\u001b[0m\n", + " Params (width, height): \u001b[34m11229.50878906, 14877.65\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.47\u001b[0m\n" ] }, "metadata": {}, @@ -1539,13 +1711,19 @@ { "data": { "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
+       "
Iteration 33\n",
+       "        Gradient (width, height): -0.00157895, -0.00021\n",
+       "        Updates (width, height): -51.75486755, -47.55\n",
+       "        Params (width, height): 11177.75390625, 14830.10\n",
+       "        Figure of merit:          1.67\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" + "\u001b[1;36mIteration 33\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00157895, -0.00021\u001b[0m\n", + " Updates (width, height): \u001b[35m-51.75486755, -47.55\u001b[0m\n", + " Params (width, height): \u001b[34m11177.75390625, 14830.10\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.67\u001b[0m\n" ] }, "metadata": {}, @@ -1553,13 +1731,20 @@ }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "cdedc7b5d3b3407eafbd128357d4c492", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 34\n",
+       "        Gradient (width, height): -0.00282321, -0.00019\n",
+       "        Updates (width, height): -53.98826218, -47.18\n",
+       "        Params (width, height): 11123.76562500, 14782.92\n",
+       "        Figure of merit:          1.87\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 34\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00282321, -0.00019\u001b[0m\n", + " Updates (width, height): \u001b[35m-53.98826218, -47.18\u001b[0m\n", + " Params (width, height): \u001b[34m11123.76562500, 14782.92\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.87\u001b[0m\n" ] }, "metadata": {}, @@ -1568,11 +1753,19 @@ { "data": { "text/html": [ - "
16:22:54 EDT Batch complete.                                                    \n",
+       "
Iteration 35\n",
+       "        Gradient (width, height): -0.00385026, -0.00031\n",
+       "        Updates (width, height): -55.86886215, -49.75\n",
+       "        Params (width, height): 11067.89648438, 14733.17\n",
+       "        Figure of merit:          2.05\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m16:22:54 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + "\u001b[1;36mIteration 35\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00385026, -0.00031\u001b[0m\n", + " Updates (width, height): \u001b[35m-55.86886215, -49.75\u001b[0m\n", + " Params (width, height): \u001b[34m11067.89648438, 14733.17\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.05\u001b[0m\n" ] }, "metadata": {}, @@ -1581,22 +1774,40 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 36\n",
+       "        Gradient (width, height): -0.00465618, -0.00128\n",
+       "        Updates (width, height): -57.65287399, -50.94\n",
+       "        Params (width, height): 11010.24316406, 14682.22\n",
+       "        Figure of merit:          3.63\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 36\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00465618, -0.00128\u001b[0m\n", + " Updates (width, height): \u001b[35m-57.65287399, -50.94\u001b[0m\n", + " Params (width, height): \u001b[34m11010.24316406, 14682.22\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.63\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "d23415e61c914fd2b7884f6d0ea02a37", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 37\n",
+       "        Gradient (width, height): -0.00662191, -0.00036\n",
+       "        Updates (width, height): -58.89441681, -48.74\n",
+       "        Params (width, height): 10951.34863281, 14633.48\n",
+       "        Figure of merit:          5.09\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 37\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00662191, -0.00036\u001b[0m\n", + " Updates (width, height): \u001b[35m-58.89441681, -48.74\u001b[0m\n", + " Params (width, height): \u001b[34m10951.34863281, 14633.48\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m5.09\u001b[0m\n" ] }, "metadata": {}, @@ -1605,9 +1816,20 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 38\n",
+       "        Gradient (width, height): -0.00028820, -0.00021\n",
+       "        Updates (width, height): -48.82099915, -44.16\n",
+       "        Params (width, height): 10902.52734375, 14589.32\n",
+       "        Figure of merit:          6.34\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 38\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00028820, -0.00021\u001b[0m\n", + " Updates (width, height): \u001b[35m-48.82099915, -44.16\u001b[0m\n", + " Params (width, height): \u001b[34m10902.52734375, 14589.32\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m6.34\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" @@ -1615,19 +1837,19 @@ { "data": { "text/html": [ - "
Iteration 9\n",
-       "        Gradient (width, height): -0.00009862, -0.00005\n",
-       "        Updates (width, height): -33.51790619, -31.40\n",
-       "        Params (width, height): 12174.99414062, 15736.39\n",
-       "        Figure of merit:          0.14\n",
+       "
Iteration 39\n",
+       "        Gradient (width, height): -0.00794937, -0.00190\n",
+       "        Updates (width, height): -54.13339233, -51.36\n",
+       "        Params (width, height): 10848.39355469, 14537.95\n",
+       "        Figure of merit:          7.34\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 9\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00009862, -0.00005\u001b[0m\n", - " Updates (width, height): \u001b[35m-33.51790619, -31.40\u001b[0m\n", - " Params (width, height): \u001b[34m12174.99414062, 15736.39\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" + "\u001b[1;36mIteration 39\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00794937, -0.00190\u001b[0m\n", + " Updates (width, height): \u001b[35m-54.13339233, -51.36\u001b[0m\n", + " Params (width, height): \u001b[34m10848.39355469, 14537.95\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.34\u001b[0m\n" ] }, "metadata": {}, @@ -1636,124 +1858,19 @@ { "data": { "text/html": [ - "
Iteration 10\n",
-       "        Gradient (width, height): -0.00010310, -0.00005\n",
-       "        Updates (width, height): -34.02095795, -32.50\n",
-       "        Params (width, height): 12140.97363281, 15703.89\n",
-       "        Figure of merit:          0.14\n",
+       "
Iteration 40\n",
+       "        Gradient (width, height): -0.01504514, -0.00027\n",
+       "        Updates (width, height): -56.96682739, -45.44\n",
+       "        Params (width, height): 10791.42675781, 14492.51\n",
+       "        Figure of merit:          8.61\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 10\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00010310, -0.00005\u001b[0m\n", - " Updates (width, height): \u001b[35m-34.02095795, -32.50\u001b[0m\n", - " Params (width, height): \u001b[34m12140.97363281, 15703.89\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 11\n",
-       "        Gradient (width, height): -0.00010938, -0.00002\n",
-       "        Updates (width, height): -34.50870895, -29.35\n",
-       "        Params (width, height): 12106.46484375, 15674.55\n",
-       "        Figure of merit:          0.15\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 11\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00010938, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-34.50870895, -29.35\u001b[0m\n", - " Params (width, height): \u001b[34m12106.46484375, 15674.55\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.15\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 12\n",
-       "        Gradient (width, height): -0.00001664, -0.00004\n",
-       "        Updates (width, height): -29.70228195, -29.80\n",
-       "        Params (width, height): 12076.76269531, 15644.74\n",
-       "        Figure of merit:          0.16\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 12\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00001664, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.70228195, -29.80\u001b[0m\n", - " Params (width, height): \u001b[34m12076.76269531, 15644.74\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.16\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 13\n",
-       "        Gradient (width, height): -0.00006988, -0.00006\n",
-       "        Updates (width, height): -29.54795456, -31.83\n",
-       "        Params (width, height): 12047.21484375, 15612.91\n",
-       "        Figure of merit:          0.18\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 13\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00006988, -0.00006\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.54795456, -31.83\u001b[0m\n", - " Params (width, height): \u001b[34m12047.21484375, 15612.91\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.18\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 14\n",
-       "        Gradient (width, height): -0.00011516, -0.00007\n",
-       "        Updates (width, height): -31.58968735, -33.95\n",
-       "        Params (width, height): 12015.62500000, 15578.96\n",
-       "        Figure of merit:          0.19\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 14\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00011516, -0.00007\u001b[0m\n", - " Updates (width, height): \u001b[35m-31.58968735, -33.95\u001b[0m\n", - " Params (width, height): \u001b[34m12015.62500000, 15578.96\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.19\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 15\n",
-       "        Gradient (width, height): -0.00015474, -0.00008\n",
-       "        Updates (width, height): -34.19954681, -35.76\n",
-       "        Params (width, height): 11981.42578125, 15543.21\n",
-       "        Figure of merit:          0.20\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 15\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00015474, -0.00008\u001b[0m\n", - " Updates (width, height): \u001b[35m-34.19954681, -35.76\u001b[0m\n", - " Params (width, height): \u001b[34m11981.42578125, 15543.21\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.20\u001b[0m\n" + "\u001b[1;36mIteration 40\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.01504514, -0.00027\u001b[0m\n", + " Updates (width, height): \u001b[35m-56.96682739, -45.44\u001b[0m\n", + " Params (width, height): \u001b[34m10791.42675781, 14492.51\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.61\u001b[0m\n" ] }, "metadata": {}, @@ -1762,33 +1879,19 @@ { "data": { "text/html": [ - "
Iteration 16\n",
-       "        Gradient (width, height): -0.00019057, -0.00002\n",
-       "        Updates (width, height): -36.63318634, -31.78\n",
-       "        Params (width, height): 11944.79296875, 15511.43\n",
-       "        Figure of merit:          0.22\n",
+       "
Iteration 41\n",
+       "        Gradient (width, height): -0.02025164, -0.00054\n",
+       "        Updates (width, height): -59.42907333, -44.10\n",
+       "        Params (width, height): 10731.99804688, 14448.41\n",
+       "        Figure of merit:          9.45\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 16\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00019057, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-36.63318634, -31.78\u001b[0m\n", - " Params (width, height): \u001b[34m11944.79296875, 15511.43\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.22\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "8e6ad516c5a541f09036db4d8e76ce02", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" + "\u001b[1;36mIteration 41\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.02025164, -0.00054\u001b[0m\n", + " Updates (width, height): \u001b[35m-59.42907333, -44.10\u001b[0m\n", + " Params (width, height): \u001b[34m10731.99804688, 14448.41\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m9.45\u001b[0m\n" ] }, "metadata": {}, @@ -1797,21 +1900,19 @@ { "data": { "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
16:46:35 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
Iteration 42\n",
+       "        Gradient (width, height): -0.01665919, -0.00134\n",
+       "        Updates (width, height): -61.02301788, -49.65\n",
+       "        Params (width, height): 10670.97460938, 14398.75\n",
+       "        Figure of merit:          16.84\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m16:46:35 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[1;36mIteration 42\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.01665919, -0.00134\u001b[0m\n", + " Updates (width, height): \u001b[35m-61.02301788, -49.65\u001b[0m\n", + " Params (width, height): \u001b[34m10670.97460938, 14398.75\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m16.84\u001b[0m\n" ] }, "metadata": {}, @@ -1820,11 +1921,19 @@ { "data": { "text/html": [ - "
16:46:38 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
Iteration 43\n",
+       "        Gradient (width, height): -0.01329965, -0.00249\n",
+       "        Updates (width, height): -60.43588257, -55.89\n",
+       "        Params (width, height): 10610.53906250, 14342.86\n",
+       "        Figure of merit:          20.59\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m16:46:38 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + "\u001b[1;36mIteration 43\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.01329965, -0.00249\u001b[0m\n", + " Updates (width, height): \u001b[35m-60.43588257, -55.89\u001b[0m\n", + " Params (width, height): \u001b[34m10610.53906250, 14342.86\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m20.59\u001b[0m\n" ] }, "metadata": {}, @@ -1833,27 +1942,19 @@ { "data": { "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
+       "
Iteration 44\n",
+       "        Gradient (width, height): -0.00164312, -0.00011\n",
+       "        Updates (width, height): -50.69790268, -46.40\n",
+       "        Params (width, height): 10559.84082031, 14296.46\n",
+       "        Figure of merit:          22.61\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "3e75220f064c4affb61f3a5b005d479c", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" + "\u001b[1;36mIteration 44\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00164312, -0.00011\u001b[0m\n", + " Updates (width, height): \u001b[35m-50.69790268, -46.40\u001b[0m\n", + " Params (width, height): \u001b[34m10559.84082031, 14296.46\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.61\u001b[0m\n" ] }, "metadata": {}, @@ -1862,35 +1963,19 @@ { "data": { "text/html": [ - "
             Batch complete.                                                    \n",
+       "
Iteration 45\n",
+       "        Gradient (width, height): -0.00385812, -0.00012\n",
+       "        Updates (width, height): -45.10823059, -38.83\n",
+       "        Params (width, height): 10514.73242188, 14257.63\n",
+       "        Figure of merit:          23.30\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ef4e65f3bc0d4a6a8101fc1c9ab32b74",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
+       "\u001b[1;36mIteration 45\u001b[0m\n",
+       "        Gradient (width, height): \u001b[35m-0.00385812, -0.00012\u001b[0m\n",
+       "        Updates (width, height): \u001b[35m-45.10823059, -38.83\u001b[0m\n",
+       "        Params (width, height): \u001b[34m10514.73242188, 14257.63\u001b[0m\n",
+       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m23.30\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -1899,29 +1984,19 @@
     {
      "data": {
       "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 17\n",
-       "        Gradient (width, height): -0.00022578, -0.00006\n",
-       "        Updates (width, height): -38.71700287, -32.67\n",
-       "        Params (width, height): 11906.07617188, 15478.76\n",
-       "        Figure of merit:          0.23\n",
+       "
Iteration 46\n",
+       "        Gradient (width, height): -0.00143569, -0.00013\n",
+       "        Updates (width, height): -38.09048462, -32.80\n",
+       "        Params (width, height): 10476.64160156, 14224.83\n",
+       "        Figure of merit:          23.57\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 17\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00022578, -0.00006\u001b[0m\n", - " Updates (width, height): \u001b[35m-38.71700287, -32.67\u001b[0m\n", - " Params (width, height): \u001b[34m11906.07617188, 15478.76\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.23\u001b[0m\n" + "\u001b[1;36mIteration 46\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00143569, -0.00013\u001b[0m\n", + " Updates (width, height): \u001b[35m-38.09048462, -32.80\u001b[0m\n", + " Params (width, height): \u001b[34m10476.64160156, 14224.83\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.57\u001b[0m\n" ] }, "metadata": {}, @@ -1930,19 +2005,19 @@ { "data": { "text/html": [ - "
Iteration 18\n",
-       "        Gradient (width, height): -0.00025186, -0.00009\n",
-       "        Updates (width, height): -40.36277771, -35.16\n",
-       "        Params (width, height): 11865.71386719, 15443.60\n",
-       "        Figure of merit:          0.25\n",
+       "
Iteration 47\n",
+       "        Gradient (width, height): 0.00183728, 0.00018\n",
+       "        Updates (width, height): -28.66710472, -24.55\n",
+       "        Params (width, height): 10447.97460938, 14200.29\n",
+       "        Figure of merit:          23.62\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 18\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00025186, -0.00009\u001b[0m\n", - " Updates (width, height): \u001b[35m-40.36277771, -35.16\u001b[0m\n", - " Params (width, height): \u001b[34m11865.71386719, 15443.60\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.25\u001b[0m\n" + "\u001b[1;36mIteration 47\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00183728, 0.00018\u001b[0m\n", + " Updates (width, height): \u001b[35m-28.66710472, -24.55\u001b[0m\n", + " Params (width, height): \u001b[34m10447.97460938, 14200.29\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.62\u001b[0m\n" ] }, "metadata": {}, @@ -1951,19 +2026,19 @@ { "data": { "text/html": [ - "
Iteration 19\n",
-       "        Gradient (width, height): -0.00027269, -0.00010\n",
-       "        Updates (width, height): -41.63131332, -37.57\n",
-       "        Params (width, height): 11824.08300781, 15406.02\n",
-       "        Figure of merit:          0.26\n",
+       "
Iteration 48\n",
+       "        Gradient (width, height): 0.01098762, -0.00018\n",
+       "        Updates (width, height): -10.01298237, -21.74\n",
+       "        Params (width, height): 10437.96191406, 14178.54\n",
+       "        Figure of merit:          22.38\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 19\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00027269, -0.00010\u001b[0m\n", - " Updates (width, height): \u001b[35m-41.63131332, -37.57\u001b[0m\n", - " Params (width, height): \u001b[34m11824.08300781, 15406.02\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.26\u001b[0m\n" + "\u001b[1;36mIteration 48\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.01098762, -0.00018\u001b[0m\n", + " Updates (width, height): \u001b[35m-10.01298237, -21.74\u001b[0m\n", + " Params (width, height): \u001b[34m10437.96191406, 14178.54\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.38\u001b[0m\n" ] }, "metadata": {}, @@ -1972,19 +2047,19 @@ { "data": { "text/html": [ - "
Iteration 20\n",
-       "        Gradient (width, height): -0.00028936, -0.00011\n",
-       "        Updates (width, height): -42.58481216, -39.50\n",
-       "        Params (width, height): 11781.49804688, 15366.52\n",
-       "        Figure of merit:          0.27\n",
+       "
Iteration 49\n",
+       "        Gradient (width, height): 0.01265254, -0.00008\n",
+       "        Updates (width, height): 5.70532608, -18.46\n",
+       "        Params (width, height): 10443.66699219, 14160.08\n",
+       "        Figure of merit:          21.76\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 20\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00028936, -0.00011\u001b[0m\n", - " Updates (width, height): \u001b[35m-42.58481216, -39.50\u001b[0m\n", - " Params (width, height): \u001b[34m11781.49804688, 15366.52\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.27\u001b[0m\n" + "\u001b[1;36mIteration 49\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.01265254, -0.00008\u001b[0m\n", + " Updates (width, height): \u001b[35m5.70532608, -18.46\u001b[0m\n", + " Params (width, height): \u001b[34m10443.66699219, 14160.08\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m21.76\u001b[0m\n" ] }, "metadata": {}, @@ -1993,19 +2068,19 @@ { "data": { "text/html": [ - "
Iteration 21\n",
-       "        Gradient (width, height): -0.00000753, -0.00004\n",
-       "        Updates (width, height): -35.15724945, -36.40\n",
-       "        Params (width, height): 11746.34082031, 15330.12\n",
-       "        Figure of merit:          0.31\n",
+       "
Iteration 50\n",
+       "        Gradient (width, height): 0.01142320, 0.00000\n",
+       "        Updates (width, height): 16.13818169, -14.92\n",
+       "        Params (width, height): 10459.80468750, 14145.16\n",
+       "        Figure of merit:          22.23\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 21\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00000753, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-35.15724945, -36.40\u001b[0m\n", - " Params (width, height): \u001b[34m11746.34082031, 15330.12\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.31\u001b[0m\n" + "\u001b[1;36mIteration 50\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.01142320, 0.00000\u001b[0m\n", + " Updates (width, height): \u001b[35m16.13818169, -14.92\u001b[0m\n", + " Params (width, height): \u001b[34m10459.80468750, 14145.16\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.23\u001b[0m\n" ] }, "metadata": {}, @@ -2014,19 +2089,19 @@ { "data": { "text/html": [ - "
Iteration 22\n",
-       "        Gradient (width, height): -0.00020727, -0.00012\n",
-       "        Updates (width, height): -36.00515366, -38.60\n",
-       "        Params (width, height): 11710.33593750, 15291.52\n",
-       "        Figure of merit:          0.37\n",
+       "
Iteration 51\n",
+       "        Gradient (width, height): 0.00347026, 0.00007\n",
+       "        Updates (width, height): 16.57631302, -11.23\n",
+       "        Params (width, height): 10476.38085938, 14133.94\n",
+       "        Figure of merit:          23.60\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 22\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00020727, -0.00012\u001b[0m\n", - " Updates (width, height): \u001b[35m-36.00515366, -38.60\u001b[0m\n", - " Params (width, height): \u001b[34m11710.33593750, 15291.52\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.37\u001b[0m\n" + "\u001b[1;36mIteration 51\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00347026, 0.00007\u001b[0m\n", + " Updates (width, height): \u001b[35m16.57631302, -11.23\u001b[0m\n", + " Params (width, height): \u001b[34m10476.38085938, 14133.94\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.60\u001b[0m\n" ] }, "metadata": {}, @@ -2035,19 +2110,19 @@ { "data": { "text/html": [ - "
Iteration 23\n",
-       "        Gradient (width, height): -0.00038568, -0.00017\n",
-       "        Updates (width, height): -39.81743622, -41.72\n",
-       "        Params (width, height): 11670.51855469, 15249.80\n",
-       "        Figure of merit:          0.41\n",
+       "
Iteration 52\n",
+       "        Gradient (width, height): 0.00192127, 0.00003\n",
+       "        Updates (width, height): 15.37921810, -8.72\n",
+       "        Params (width, height): 10491.75976562, 14125.21\n",
+       "        Figure of merit:          23.61\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 23\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00038568, -0.00017\u001b[0m\n", - " Updates (width, height): \u001b[35m-39.81743622, -41.72\u001b[0m\n", - " Params (width, height): \u001b[34m11670.51855469, 15249.80\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.41\u001b[0m\n" + "\u001b[1;36mIteration 52\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00192127, 0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m15.37921810, -8.72\u001b[0m\n", + " Params (width, height): \u001b[34m10491.75976562, 14125.21\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.61\u001b[0m\n" ] }, "metadata": {}, @@ -2056,33 +2131,19 @@ { "data": { "text/html": [ - "
Iteration 24\n",
-       "        Gradient (width, height): -0.00054591, -0.00020\n",
-       "        Updates (width, height): -43.47848892, -44.37\n",
-       "        Params (width, height): 11627.04003906, 15205.43\n",
-       "        Figure of merit:          0.45\n",
+       "
Iteration 53\n",
+       "        Gradient (width, height): 0.00056530, 0.00004\n",
+       "        Updates (width, height): 13.01727200, -6.57\n",
+       "        Params (width, height): 10504.77734375, 14118.64\n",
+       "        Figure of merit:          23.61\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 24\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00054591, -0.00020\u001b[0m\n", - " Updates (width, height): \u001b[35m-43.47848892, -44.37\u001b[0m\n", - " Params (width, height): \u001b[34m11627.04003906, 15205.43\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.45\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "cddcec7e12c9484498594f22f7ef0175", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" + "\u001b[1;36mIteration 53\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00056530, 0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m13.01727200, -6.57\u001b[0m\n", + " Params (width, height): \u001b[34m10504.77734375, 14118.64\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.61\u001b[0m\n" ] }, "metadata": {}, @@ -2091,21 +2152,19 @@ { "data": { "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:18:23 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
Iteration 54\n",
+       "        Gradient (width, height): -0.00052047, 0.00002\n",
+       "        Updates (width, height): 9.96105862, -5.12\n",
+       "        Params (width, height): 10514.73828125, 14113.52\n",
+       "        Figure of merit:          23.60\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m17:18:23 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[1;36mIteration 54\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00052047, 0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m9.96105862, -5.12\u001b[0m\n", + " Params (width, height): \u001b[34m10514.73828125, 14113.52\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.60\u001b[0m\n" ] }, "metadata": {}, @@ -2114,11 +2173,19 @@ { "data": { "text/html": [ - "
17:18:26 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
+       "
Iteration 55\n",
+       "        Gradient (width, height): -0.00127735, -0.00002\n",
+       "        Updates (width, height): 6.67268562, -4.37\n",
+       "        Params (width, height): 10521.41113281, 14109.16\n",
+       "        Figure of merit:          23.57\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m17:18:26 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + "\u001b[1;36mIteration 55\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00127735, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m6.67268562, -4.37\u001b[0m\n", + " Params (width, height): \u001b[34m10521.41113281, 14109.16\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.57\u001b[0m\n" ] }, "metadata": {}, @@ -2127,27 +2194,19 @@ { "data": { "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
+       "
Iteration 56\n",
+       "        Gradient (width, height): -0.00175436, -0.00006\n",
+       "        Updates (width, height): 3.48865795, -4.18\n",
+       "        Params (width, height): 10524.89941406, 14104.98\n",
+       "        Figure of merit:          23.55\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "61c4f25253a24fca9712c829a56eeb0d", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" + "\u001b[1;36mIteration 56\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00175436, -0.00006\u001b[0m\n", + " Updates (width, height): \u001b[35m3.48865795, -4.18\u001b[0m\n", + " Params (width, height): \u001b[34m10524.89941406, 14104.98\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.55\u001b[0m\n" ] }, "metadata": {}, @@ -2156,35 +2215,19 @@ { "data": { "text/html": [ - "
17:18:27 EDT Batch complete.                                                    \n",
+       "
Iteration 57\n",
+       "        Gradient (width, height): -0.00199518, -0.00008\n",
+       "        Updates (width, height): 0.64174372, -4.33\n",
+       "        Params (width, height): 10525.54101562, 14100.65\n",
+       "        Figure of merit:          23.54\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m17:18:27 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b1326e37283b40f680d0a1a92e104b97",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
+       "\u001b[1;36mIteration 57\u001b[0m\n",
+       "        Gradient (width, height): \u001b[35m-0.00199518, -0.00008\u001b[0m\n",
+       "        Updates (width, height): \u001b[35m0.64174372, -4.33\u001b[0m\n",
+       "        Params (width, height): \u001b[34m10525.54101562, 14100.65\u001b[0m\n",
+       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m23.54\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -2193,29 +2236,19 @@
     {
      "data": {
       "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 25\n",
-       "        Gradient (width, height): -0.00071362, -0.00006\n",
-       "        Updates (width, height): -46.34262848, -40.54\n",
-       "        Params (width, height): 11580.69726562, 15164.89\n",
-       "        Figure of merit:          0.52\n",
+       "
Iteration 58\n",
+       "        Gradient (width, height): -0.00204408, -0.00009\n",
+       "        Updates (width, height): -1.72443676, -4.62\n",
+       "        Params (width, height): 10523.81640625, 14096.03\n",
+       "        Figure of merit:          23.54\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 25\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00071362, -0.00006\u001b[0m\n", - " Updates (width, height): \u001b[35m-46.34262848, -40.54\u001b[0m\n", - " Params (width, height): \u001b[34m11580.69726562, 15164.89\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.52\u001b[0m\n" + "\u001b[1;36mIteration 58\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00204408, -0.00009\u001b[0m\n", + " Updates (width, height): \u001b[35m-1.72443676, -4.62\u001b[0m\n", + " Params (width, height): \u001b[34m10523.81640625, 14096.03\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" ] }, "metadata": {}, @@ -2224,19 +2257,19 @@ { "data": { "text/html": [ - "
Iteration 26\n",
-       "        Gradient (width, height): -0.00084088, -0.00019\n",
-       "        Updates (width, height): -48.46352768, -42.94\n",
-       "        Params (width, height): 11532.23339844, 15121.95\n",
-       "        Figure of merit:          0.56\n",
+       "
Iteration 59\n",
+       "        Gradient (width, height): -0.00194095, -0.00009\n",
+       "        Updates (width, height): -3.53530407, -4.86\n",
+       "        Params (width, height): 10520.28125000, 14091.17\n",
+       "        Figure of merit:          23.54\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 26\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00084088, -0.00019\u001b[0m\n", - " Updates (width, height): \u001b[35m-48.46352768, -42.94\u001b[0m\n", - " Params (width, height): \u001b[34m11532.23339844, 15121.95\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.56\u001b[0m\n" + "\u001b[1;36mIteration 59\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00194095, -0.00009\u001b[0m\n", + " Updates (width, height): \u001b[35m-3.53530407, -4.86\u001b[0m\n", + " Params (width, height): \u001b[34m10520.28125000, 14091.17\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" ] }, "metadata": {}, @@ -2245,124 +2278,200 @@ { "data": { "text/html": [ - "
Iteration 27\n",
-       "        Gradient (width, height): -0.00094770, -0.00026\n",
-       "        Updates (width, height): -50.04177856, -45.96\n",
-       "        Params (width, height): 11482.19140625, 15076.00\n",
-       "        Figure of merit:          0.61\n",
+       "
Iteration 60\n",
+       "        Gradient (width, height): -0.00168971, -0.00008\n",
+       "        Updates (width, height): -4.73251057, -4.85\n",
+       "        Params (width, height): 10515.54882812, 14086.32\n",
+       "        Figure of merit:          23.55\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 27\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00094770, -0.00026\u001b[0m\n", - " Updates (width, height): \u001b[35m-50.04177856, -45.96\u001b[0m\n", - " Params (width, height): \u001b[34m11482.19140625, 15076.00\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.61\u001b[0m\n" + "\u001b[1;36mIteration 60\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00168971, -0.00008\u001b[0m\n", + " Updates (width, height): \u001b[35m-4.73251057, -4.85\u001b[0m\n", + " Params (width, height): \u001b[34m10515.54882812, 14086.32\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.55\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 28\n",
-       "        Gradient (width, height): -0.00102895, -0.00030\n",
-       "        Updates (width, height): -51.17455292, -48.32\n",
-       "        Params (width, height): 11431.01660156, 15027.68\n",
-       "        Figure of merit:          0.65\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 28\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00102895, -0.00030\u001b[0m\n", - " Updates (width, height): \u001b[35m-51.17455292, -48.32\u001b[0m\n", - " Params (width, height): \u001b[34m11431.01660156, 15027.68\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.65\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 29\n",
-       "        Gradient (width, height): -0.00044949, -0.00016\n",
-       "        Updates (width, height): -47.65345764, -46.29\n",
-       "        Params (width, height): 11383.36328125, 14981.40\n",
-       "        Figure of merit:          0.90\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 29\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00044949, -0.00016\u001b[0m\n", - " Updates (width, height): \u001b[35m-47.65345764, -46.29\u001b[0m\n", - " Params (width, height): \u001b[34m11383.36328125, 14981.40\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.90\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 30\n",
-       "        Gradient (width, height): -0.00151011, -0.00043\n",
-       "        Updates (width, height): -50.57958603, -49.63\n",
-       "        Params (width, height): 11332.78417969, 14931.76\n",
-       "        Figure of merit:          1.13\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 30\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00151011, -0.00043\u001b[0m\n", - " Updates (width, height): \u001b[35m-50.57958603, -49.63\u001b[0m\n", - " Params (width, height): \u001b[34m11332.78417969, 14931.76\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.13\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 31\n",
-       "        Gradient (width, height): -0.00247589, -0.00063\n",
-       "        Updates (width, height): -52.63725281, -52.25\n",
-       "        Params (width, height): 11280.14648438, 14879.51\n",
-       "        Figure of merit:          1.36\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 31\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00247589, -0.00063\u001b[0m\n", - " Updates (width, height): \u001b[35m-52.63725281, -52.25\u001b[0m\n", - " Params (width, height): \u001b[34m11280.14648438, 14879.51\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.36\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, + } + ], + "source": [ + "# set up the single patch radiation monitor sizes\n", + "obj_fn_monitor_dim_single_patch = 1.25 * np.mean(patch_init_wh)\n", + "obj_fn_monitor_center_y_single_patch = 0.5 * patch_init_wh[1]\n", + "\n", + "# set up where the directivity monitor will be placed\n", + "directivity_center_x = np.mean(sub_x_single_patch)\n", + "directivity_center_y = np.mean(sub_y_single_patch)\n", + "directivity_size_x = 5 * mm + sub_x_single_patch[1] - sub_x_single_patch[0]\n", + "directivity_size_y = 5 * mm + sub_y_single_patch[1] - sub_y_single_patch[0]\n", + "\n", + "# set ranges of theta and phi to record directivity for\n", + "theta = np.linspace(-np.pi, np.pi, 201)\n", + "phi = np.linspace(0, np.pi, 101)\n", + "\n", + "# set the optimization theta, phi grid that we can compute directivity for via\n", + "# a near field monitor and the field projector\n", + "num_theta_opt_points = 12\n", + "theta_opt = theta[\n", + " (len(theta) // 2) - (num_theta_opt_points // 2) : (len(theta) // 2)\n", + " + (num_theta_opt_points // 2)\n", + " + 1\n", + "]\n", + "phi_opt = phi # use the full phi sweep, but limit the theta points to be centered around 0 degrees\n", + "\n", + "monitor_directivity = td.DirectivityMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0],\n", + " size=(\n", + " directivity_size_x,\n", + " directivity_size_y,\n", + " 4 * mm,\n", + " ),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"directivity\",\n", + " phi=list(phi),\n", + " theta=list(theta),\n", + " far_field_approx=True,\n", + ")\n", + "\n", + "monitor_radiation = td.FieldMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"radiation\",\n", + ")\n", + "\n", + "monitor_far_field = td.FieldProjectionAngleMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"far_field\",\n", + " phi=phi_opt,\n", + " theta=theta_opt,\n", + " far_field_approx=True,\n", + " proj_distance=50 * wavelength0, # project far away form antenna\n", + ")\n", + "\n", + "single_patch_optimization_monitors = [monitor_directivity, monitor_radiation, monitor_far_field]\n", + "\n", + "initial_poynting_flux = compute_poynting(\n", + " patch_init_wh,\n", + " params_to_boxes_single_patch,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " single_patch_optimization_monitors,\n", + " opt_freqs_single_patch,\n", + ")\n", + "\n", + "# Set up the objective function for the single patch that is a function\n", + "# of the patch width and height\n", + "obj_fn = lambda patch_wh: objective_fn(\n", + " patch_wh,\n", + " params_to_boxes_single_patch,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " single_patch_optimization_monitors,\n", + " opt_freqs_single_patch,\n", + " initial_poynting_flux,\n", + ")\n", + "\n", + "# Get function to compute the gradient of the objective\n", + "obj_val_and_grad = value_and_grad(obj_fn)\n", + "\n", + "patch_wh = patch_init_wh.copy()\n", + "\n", + "# Set up optimization parameters and optimizer\n", + "learning_rate = 30\n", + "optimizer = optax.adam(learning_rate=learning_rate, b1=0.8)\n", + "opt_state = optimizer.init(patch_wh)\n", + "\n", + "num_steps = 60\n", + "print_iteration_frequency = 1\n", + "\n", + "full_eval_frequency = 10\n", + "s11_sq_dB_evolution = []\n", + "s11_f_ghz = None\n", + "realized_gain_evolution = []\n", + "theta_eval_evolution = None\n", + "\n", + "# Set bounds on patch width and height in the optimization\n", + "clip_min_single = anp.array([patch_min_width, patch_min_height])\n", + "clip_max_single = anp.array([patch_max_width, patch_max_height])\n", + "\n", + "figure_of_merit_single_patch = np.zeros(num_steps + 1)\n", + "\n", + "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", + "# at each step and clipping the design on the bounds\n", + "for step_idx in range(0, num_steps):\n", + " f, g = obj_val_and_grad(patch_wh)\n", + "\n", + " figure_of_merit_single_patch[step_idx] = f\n", + "\n", + " if (step_idx % full_eval_frequency) == 0:\n", + " \n", + " s_matrix_eval, _, theta_eval, realized_gain_eval = evaluate_single_antenna(\n", + " patch_wh, freqs_s_params, opt_freqs_single_patch\n", + " )\n", + " s_matrix_f_ghz = s_matrix_eval.f / 1e9\n", + " s11_f_ghz = s_matrix_f_ghz.copy()\n", + " s11_data_selection = s_matrix_eval.isel(port_out=0, port_in=0)\n", + " s11_sq_dB_evolution.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", + " \n", + " realized_gain_evolution.append(\n", + " {\n", + " \"Gtheta\" : realized_gain_eval[\"Gtheta\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", + " \"Gphi\" : realized_gain_eval[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values\n", + " } \n", + " )\n", + " \n", + " theta_eval_evolution = theta_eval.copy()\n", + " \n", + " updates, opt_state = optimizer.update(-g, opt_state, patch_wh)\n", + "\n", + " patch_wh = optax.apply_updates(patch_wh, updates)\n", + " patch_wh = anp.array(patch_wh)\n", + " patch_wh = anp.clip(patch_wh, a_min=clip_min_single, a_max=clip_max_single)\n", + "\n", + " if (step_idx % print_iteration_frequency) == 0:\n", + " output_text = Text.assemble(\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", + " \"\\n\",\n", + " (f\"\\tGradient (width, height): \", \"\"),\n", + " (f\"{g[0]:.8f}, {g[1]:.5f}\", \"magenta\"),\n", + " \"\\n\",\n", + " (f\"\\tUpdates (width, height): \", \"\"),\n", + " (f\"{updates[0]:.8f}, {updates[1]:.2f}\", \"magenta\"),\n", + " \"\\n\",\n", + " (f\"\\tParams (width, height): \", \"\"),\n", + " (f\"{patch_wh[0]:.8f}, {patch_wh[1]:.2f}\", \"blue\"),\n", + " \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"),\n", + " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", + " )\n", + " console.print(output_text)\n", + "\n", + "figure_of_merit_single_patch[num_steps] = obj_fn(patch_wh)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we set up the objective function for our single patch optimization and use the `Adam` optimizer from `optax` to modify the patch width and height according to the adjoint gradient." + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ { "data": { - "text/html": [ - "
Iteration 32\n",
-       "        Gradient (width, height): -0.00337631, -0.00015\n",
-       "        Updates (width, height): -54.23688126, -47.05\n",
-       "        Params (width, height): 11225.90917969, 14832.46\n",
-       "        Figure of merit:          1.62\n",
-       "
\n" - ], + "image/png": "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", "text/plain": [ - "\u001b[1;36mIteration 32\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00337631, -0.00015\u001b[0m\n", - " Updates (width, height): \u001b[35m-54.23688126, -47.05\u001b[0m\n", - " Params (width, height): \u001b[34m11225.90917969, 14832.46\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.62\u001b[0m\n" + "
" ] }, "metadata": {}, @@ -2370,36 +2479,41 @@ }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "dd72d087a6c445e68a889924f5033642", - "version_major": 2, - "version_minor": 0 - }, + "image/png": "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", "text/plain": [ - "Output()" + "
" ] }, "metadata": {}, "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
+    }
+   ],
+   "source": [
+    "# Plot the results of the optimization including the optimization trajectory and the resulting patch geometry\n",
+    "# compared to the initial state\n",
+    "plot_optimization_results(\n",
+    "    figure_of_merit_single_patch,\n",
+    "    td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n",
+    "    params_to_boxes_single_patch(patch_init_wh),\n",
+    "    params_to_boxes_single_patch(patch_wh),\n",
+    ")\n",
+    "\n",
+    "# Plot the evolution of the antenna S11 and realized gain during the course of the optimization\n",
+    "plot_antenna_evolution(s11_sq_dB_evolution, s11_f_ghz, realized_gain_evolution, opt_freqs_single_patch, theta_eval_evolution)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
     {
      "data": {
-      "text/html": [
-       "
18:03:04 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], + "image/png": "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", "text/plain": [ - "\u001b[2;36m18:03:04 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "
" ] }, "metadata": {}, @@ -2407,2725 +2521,324 @@ }, { "data": { - "text/html": [ - "
18:03:07 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
-       "
\n" - ], + "image/png": "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", "text/plain": [ - "\u001b[2;36m18:03:07 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" + "
" ] }, "metadata": {}, "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "48e0ed8ef8cc411bbecfe306c17d1e66", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
18:03:08 EDT Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m18:03:08 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "cd0965da7f254b76b4b7ff7c75e99595",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 33\n",
-       "        Gradient (width, height): -0.00420778, -0.00063\n",
-       "        Updates (width, height): -55.72233963, -50.60\n",
-       "        Params (width, height): 11170.18652344, 14781.87\n",
-       "        Figure of merit:          1.89\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 33\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00420778, -0.00063\u001b[0m\n", - " Updates (width, height): \u001b[35m-55.72233963, -50.60\u001b[0m\n", - " Params (width, height): \u001b[34m11170.18652344, 14781.87\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.89\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 34\n",
-       "        Gradient (width, height): -0.00483004, -0.00094\n",
-       "        Updates (width, height): -57.03200531, -53.77\n",
-       "        Params (width, height): 11113.15429688, 14728.10\n",
-       "        Figure of merit:          2.11\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 34\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00483004, -0.00094\u001b[0m\n", - " Updates (width, height): \u001b[35m-57.03200531, -53.77\u001b[0m\n", - " Params (width, height): \u001b[34m11113.15429688, 14728.10\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.11\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 35\n",
-       "        Gradient (width, height): -0.00065328, -0.00129\n",
-       "        Updates (width, height): -48.99203110, -56.05\n",
-       "        Params (width, height): 11064.16210938, 14672.04\n",
-       "        Figure of merit:          2.87\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 35\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00065328, -0.00129\u001b[0m\n", - " Updates (width, height): \u001b[35m-48.99203110, -56.05\u001b[0m\n", - " Params (width, height): \u001b[34m11064.16210938, 14672.04\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.87\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 36\n",
-       "        Gradient (width, height): -0.00669098, -0.00117\n",
-       "        Updates (width, height): -53.38860321, -57.33\n",
-       "        Params (width, height): 11010.77343750, 14614.72\n",
-       "        Figure of merit:          4.35\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 36\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00669098, -0.00117\u001b[0m\n", - " Updates (width, height): \u001b[35m-53.38860321, -57.33\u001b[0m\n", - " Params (width, height): \u001b[34m11010.77343750, 14614.72\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4.35\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 37\n",
-       "        Gradient (width, height): -0.01290400, -0.00231\n",
-       "        Updates (width, height): -55.39050674, -58.44\n",
-       "        Params (width, height): 10955.38281250, 14556.27\n",
-       "        Figure of merit:          5.72\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 37\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.01290400, -0.00231\u001b[0m\n", - " Updates (width, height): \u001b[35m-55.39050674, -58.44\u001b[0m\n", - " Params (width, height): \u001b[34m10955.38281250, 14556.27\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m5.72\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 38\n",
-       "        Gradient (width, height): -0.01818814, -0.00297\n",
-       "        Updates (width, height): -57.35752869, -59.71\n",
-       "        Params (width, height): 10898.02539062, 14496.56\n",
-       "        Figure of merit:          7.10\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 38\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.01818814, -0.00297\u001b[0m\n", - " Updates (width, height): \u001b[35m-57.35752869, -59.71\u001b[0m\n", - " Params (width, height): \u001b[34m10898.02539062, 14496.56\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.10\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 39\n",
-       "        Gradient (width, height): -0.02248128, -0.00231\n",
-       "        Updates (width, height): -59.36722946, -60.11\n",
-       "        Params (width, height): 10838.65820312, 14436.46\n",
-       "        Figure of merit:          8.60\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 39\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.02248128, -0.00231\u001b[0m\n", - " Updates (width, height): \u001b[35m-59.36722946, -60.11\u001b[0m\n", - " Params (width, height): \u001b[34m10838.65820312, 14436.46\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.60\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 40\n",
-       "        Gradient (width, height): -0.02519027, -0.00337\n",
-       "        Updates (width, height): -61.04248428, -61.41\n",
-       "        Params (width, height): 10777.61523438, 14375.05\n",
-       "        Figure of merit:          9.83\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 40\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.02519027, -0.00337\u001b[0m\n", - " Updates (width, height): \u001b[35m-61.04248428, -61.41\u001b[0m\n", - " Params (width, height): \u001b[34m10777.61523438, 14375.05\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m9.83\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6a5c75f9660a4dfc946c6fc4803038ad", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
19:16:06 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m19:16:06 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
19:16:09 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m19:16:09 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "5435f5ddb2554d3293cc99eb368b35ca", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
19:16:10 EDT Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m19:16:10 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "11e4d3a326b14ef58448e0f6c655f458",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 41\n",
-       "        Gradient (width, height): -0.00462613, -0.00072\n",
-       "        Updates (width, height): -53.34006500, -53.94\n",
-       "        Params (width, height): 10724.27539062, 14321.11\n",
-       "        Figure of merit:          14.44\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 41\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00462613, -0.00072\u001b[0m\n", - " Updates (width, height): \u001b[35m-53.34006500, -53.94\u001b[0m\n", - " Params (width, height): \u001b[34m10724.27539062, 14321.11\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m14.44\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 42\n",
-       "        Gradient (width, height): -0.01927110, -0.00218\n",
-       "        Updates (width, height): -55.31745911, -54.14\n",
-       "        Params (width, height): 10668.95800781, 14266.97\n",
-       "        Figure of merit:          19.12\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 42\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.01927110, -0.00218\u001b[0m\n", - " Updates (width, height): \u001b[35m-55.31745911, -54.14\u001b[0m\n", - " Params (width, height): \u001b[34m10668.95800781, 14266.97\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m19.12\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 43\n",
-       "        Gradient (width, height): -0.01785915, -0.00188\n",
-       "        Updates (width, height): -55.81810379, -53.01\n",
-       "        Params (width, height): 10613.13964844, 14213.96\n",
-       "        Figure of merit:          21.83\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 43\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.01785915, -0.00188\u001b[0m\n", - " Updates (width, height): \u001b[35m-55.81810379, -53.01\u001b[0m\n", - " Params (width, height): \u001b[34m10613.13964844, 14213.96\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m21.83\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 44\n",
-       "        Gradient (width, height): -0.00856924, -0.00012\n",
-       "        Updates (width, height): -51.23767090, -43.61\n",
-       "        Params (width, height): 10561.90234375, 14170.36\n",
-       "        Figure of merit:          23.07\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 44\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00856924, -0.00012\u001b[0m\n", - " Updates (width, height): \u001b[35m-51.23767090, -43.61\u001b[0m\n", - " Params (width, height): \u001b[34m10561.90234375, 14170.36\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.07\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 45\n",
-       "        Gradient (width, height): -0.00000923, 0.00016\n",
-       "        Updates (width, height): -41.47063828, -34.31\n",
-       "        Params (width, height): 10520.43164062, 14136.05\n",
-       "        Figure of merit:          23.41\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 45\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00000923, 0.00016\u001b[0m\n", - " Updates (width, height): \u001b[35m-41.47063828, -34.31\u001b[0m\n", - " Params (width, height): \u001b[34m10520.43164062, 14136.05\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.41\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 46\n",
-       "        Gradient (width, height): 0.00526189, 0.00056\n",
-       "        Updates (width, height): -29.17093086, -24.31\n",
-       "        Params (width, height): 10491.26074219, 14111.73\n",
-       "        Figure of merit:          23.38\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 46\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00526189, 0.00056\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.17093086, -24.31\u001b[0m\n", - " Params (width, height): \u001b[34m10491.26074219, 14111.73\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.38\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 47\n",
-       "        Gradient (width, height): 0.00846239, 0.00084\n",
-       "        Updates (width, height): -16.53853798, -14.46\n",
-       "        Params (width, height): 10474.72265625, 14097.28\n",
-       "        Figure of merit:          23.28\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 47\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00846239, 0.00084\u001b[0m\n", - " Updates (width, height): \u001b[35m-16.53853798, -14.46\u001b[0m\n", - " Params (width, height): \u001b[34m10474.72265625, 14097.28\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.28\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 48\n",
-       "        Gradient (width, height): 0.01004888, 0.00099\n",
-       "        Updates (width, height): -5.19536209, -5.62\n",
-       "        Params (width, height): 10469.52734375, 14091.66\n",
-       "        Figure of merit:          23.20\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 48\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.01004888, 0.00099\u001b[0m\n", - " Updates (width, height): \u001b[35m-5.19536209, -5.62\u001b[0m\n", - " Params (width, height): \u001b[34m10469.52734375, 14091.66\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.20\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "bc2f317e93c446378dafe824468a7b28", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
19:50:41 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m19:50:41 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
19:50:48 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m19:50:48 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f07540337c564e0fb341a2b6962a7141", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
19:50:49 EDT Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m19:50:49 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "32ecf88792374103a7c9800115738a8f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 49\n",
-       "        Gradient (width, height): 0.01049142, 0.00104\n",
-       "        Updates (width, height): 4.08193779, 1.78\n",
-       "        Params (width, height): 10473.60937500, 14093.43\n",
-       "        Figure of merit:          23.17\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 49\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.01049142, 0.00104\u001b[0m\n", - " Updates (width, height): \u001b[35m4.08193779, 1.78\u001b[0m\n", - " Params (width, height): \u001b[34m10473.60937500, 14093.43\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.17\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 50\n",
-       "        Gradient (width, height): 0.01011613, 0.00101\n",
-       "        Updates (width, height): 11.08839226, 7.49\n",
-       "        Params (width, height): 10484.69824219, 14100.93\n",
-       "        Figure of merit:          23.19\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 50\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.01011613, 0.00101\u001b[0m\n", - " Updates (width, height): \u001b[35m11.08839226, 7.49\u001b[0m\n", - " Params (width, height): \u001b[34m10484.69824219, 14100.93\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.19\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 51\n",
-       "        Gradient (width, height): 0.00908646, 0.00091\n",
-       "        Updates (width, height): 15.85871124, 11.50\n",
-       "        Params (width, height): 10500.55664062, 14112.42\n",
-       "        Figure of merit:          23.25\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 51\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00908646, 0.00091\u001b[0m\n", - " Updates (width, height): \u001b[35m15.85871124, 11.50\u001b[0m\n", - " Params (width, height): \u001b[34m10500.55664062, 14112.42\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.25\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 52\n",
-       "        Gradient (width, height): 0.00748362, 0.00077\n",
-       "        Updates (width, height): 18.48295593, 13.91\n",
-       "        Params (width, height): 10519.04003906, 14126.33\n",
-       "        Figure of merit:          23.32\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 52\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00748362, 0.00077\u001b[0m\n", - " Updates (width, height): \u001b[35m18.48295593, 13.91\u001b[0m\n", - " Params (width, height): \u001b[34m10519.04003906, 14126.33\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.32\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 53\n",
-       "        Gradient (width, height): 0.00543808, 0.00059\n",
-       "        Updates (width, height): 19.08587646, 14.79\n",
-       "        Params (width, height): 10538.12597656, 14141.12\n",
-       "        Figure of merit:          23.38\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 53\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00543808, 0.00059\u001b[0m\n", - " Updates (width, height): \u001b[35m19.08587646, 14.79\u001b[0m\n", - " Params (width, height): \u001b[34m10538.12597656, 14141.12\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.38\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 54\n",
-       "        Gradient (width, height): 0.00304159, 0.00040\n",
-       "        Updates (width, height): 17.77576065, 14.40\n",
-       "        Params (width, height): 10555.90136719, 14155.52\n",
-       "        Figure of merit:          23.41\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 54\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00304159, 0.00040\u001b[0m\n", - " Updates (width, height): \u001b[35m17.77576065, 14.40\u001b[0m\n", - " Params (width, height): \u001b[34m10555.90136719, 14155.52\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.41\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 55\n",
-       "        Gradient (width, height): 0.00062540, 0.00022\n",
-       "        Updates (width, height): 14.84896088, 13.01\n",
-       "        Params (width, height): 10570.75000000, 14168.53\n",
-       "        Figure of merit:          23.41\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 55\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00062540, 0.00022\u001b[0m\n", - " Updates (width, height): \u001b[35m14.84896088, 13.01\u001b[0m\n", - " Params (width, height): \u001b[34m10570.75000000, 14168.53\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.41\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 56\n",
-       "        Gradient (width, height): -0.00139564, 0.00010\n",
-       "        Updates (width, height): 10.87227535, 11.11\n",
-       "        Params (width, height): 10581.62207031, 14179.64\n",
-       "        Figure of merit:          23.39\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 56\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00139564, 0.00010\u001b[0m\n", - " Updates (width, height): \u001b[35m10.87227535, 11.11\u001b[0m\n", - " Params (width, height): \u001b[34m10581.62207031, 14179.64\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.39\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "3fdac8edbb1449abb061172f693c601a", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
20:30:05 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m20:30:05 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
20:30:08 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m20:30:08 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "28516d7b9b154110aeb67bb4a016aefd", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c899d38082c94818bec75c40e8c59d6d",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 57\n",
-       "        Gradient (width, height): -0.00293582, 0.00003\n",
-       "        Updates (width, height): 6.40437555, 9.13\n",
-       "        Params (width, height): 10588.02636719, 14188.77\n",
-       "        Figure of merit:          23.35\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 57\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00293582, 0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m6.40437555, 9.13\u001b[0m\n", - " Params (width, height): \u001b[34m10588.02636719, 14188.77\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.35\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 58\n",
-       "        Gradient (width, height): -0.00364408, 0.00002\n",
-       "        Updates (width, height): 2.20824957, 7.51\n",
-       "        Params (width, height): 10590.23437500, 14196.28\n",
-       "        Figure of merit:          23.33\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 58\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00364408, 0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m2.20824957, 7.51\u001b[0m\n", - " Params (width, height): \u001b[34m10590.23437500, 14196.28\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.33\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 59\n",
-       "        Gradient (width, height): -0.00373159, 0.00003\n",
-       "        Updates (width, height): -1.26269996, 6.28\n",
-       "        Params (width, height): 10588.97167969, 14202.56\n",
-       "        Figure of merit:          23.33\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 59\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00373159, 0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-1.26269996, 6.28\u001b[0m\n", - " Params (width, height): \u001b[34m10588.97167969, 14202.56\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.33\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 60\n",
-       "        Gradient (width, height): -0.00351806, 0.00003\n",
-       "        Updates (width, height): -3.90299988, 5.29\n",
-       "        Params (width, height): 10585.06835938, 14207.85\n",
-       "        Figure of merit:          23.34\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 60\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00351806, 0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-3.90299988, 5.29\u001b[0m\n", - " Params (width, height): \u001b[34m10585.06835938, 14207.85\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.34\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 61\n",
-       "        Gradient (width, height): -0.00307318, 0.00003\n",
-       "        Updates (width, height): -5.68317890, 4.43\n",
-       "        Params (width, height): 10579.38476562, 14212.28\n",
-       "        Figure of merit:          23.35\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 61\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00307318, 0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-5.68317890, 4.43\u001b[0m\n", - " Params (width, height): \u001b[34m10579.38476562, 14212.28\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.35\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 62\n",
-       "        Gradient (width, height): -0.00289947, -0.00000\n",
-       "        Updates (width, height): -6.99089479, 3.55\n",
-       "        Params (width, height): 10572.39355469, 14215.83\n",
-       "        Figure of merit:          23.36\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 62\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00289947, -0.00000\u001b[0m\n", - " Updates (width, height): \u001b[35m-6.99089479, 3.55\u001b[0m\n", - " Params (width, height): \u001b[34m10572.39355469, 14215.83\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.36\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 63\n",
-       "        Gradient (width, height): -0.00243600, -0.00001\n",
-       "        Updates (width, height): -7.67522717, 2.81\n",
-       "        Params (width, height): 10564.71875000, 14218.64\n",
-       "        Figure of merit:          23.37\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 63\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00243600, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-7.67522717, 2.81\u001b[0m\n", - " Params (width, height): \u001b[34m10564.71875000, 14218.64\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.37\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 64\n",
-       "        Gradient (width, height): -0.00192742, -0.00001\n",
-       "        Updates (width, height): -7.81411791, 2.22\n",
-       "        Params (width, height): 10556.90429688, 14220.86\n",
-       "        Figure of merit:          23.38\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 64\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00192742, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-7.81411791, 2.22\u001b[0m\n", - " Params (width, height): \u001b[34m10556.90429688, 14220.86\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.38\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "abe18fb219f34b6eb1cc88fb9fc51a22", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
20:50:50 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m20:50:50 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
20:51:03 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m20:51:03 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "506b50146abd4616b8b677a68e8c8567", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
20:51:04 EDT Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m20:51:04 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0e213f4226d746419302c328674f67bf",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 65\n",
-       "        Gradient (width, height): -0.00144937, 0.00000\n",
-       "        Updates (width, height): -7.53269100, 1.82\n",
-       "        Params (width, height): 10549.37207031, 14222.68\n",
-       "        Figure of merit:          23.39\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 65\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00144937, 0.00000\u001b[0m\n", - " Updates (width, height): \u001b[35m-7.53269100, 1.82\u001b[0m\n", - " Params (width, height): \u001b[34m10549.37207031, 14222.68\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.39\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 66\n",
-       "        Gradient (width, height): 0.00123429, 0.00019\n",
-       "        Updates (width, height): -5.01407385, 2.74\n",
-       "        Params (width, height): 10544.35839844, 14225.42\n",
-       "        Figure of merit:          23.43\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 66\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00123429, 0.00019\u001b[0m\n", - " Updates (width, height): \u001b[35m-5.01407385, 2.74\u001b[0m\n", - " Params (width, height): \u001b[34m10544.35839844, 14225.42\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.43\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 67\n",
-       "        Gradient (width, height): 0.00194270, 0.00025\n",
-       "        Updates (width, height): -2.36240768, 3.91\n",
-       "        Params (width, height): 10541.99609375, 14229.33\n",
-       "        Figure of merit:          23.43\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 67\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00194270, 0.00025\u001b[0m\n", - " Updates (width, height): \u001b[35m-2.36240768, 3.91\u001b[0m\n", - " Params (width, height): \u001b[34m10541.99609375, 14229.33\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.43\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 68\n",
-       "        Gradient (width, height): 0.00227142, 0.00028\n",
-       "        Updates (width, height): 0.07215215, 5.05\n",
-       "        Params (width, height): 10542.06835938, 14234.38\n",
-       "        Figure of merit:          23.43\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 68\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00227142, 0.00028\u001b[0m\n", - " Updates (width, height): \u001b[35m0.07215215, 5.05\u001b[0m\n", - " Params (width, height): \u001b[34m10542.06835938, 14234.38\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.43\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 69\n",
-       "        Gradient (width, height): 0.00226337, 0.00027\n",
-       "        Updates (width, height): 2.03945541, 5.96\n",
-       "        Params (width, height): 10544.10742188, 14240.34\n",
-       "        Figure of merit:          23.43\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 69\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00226337, 0.00027\u001b[0m\n", - " Updates (width, height): \u001b[35m2.03945541, 5.96\u001b[0m\n", - " Params (width, height): \u001b[34m10544.10742188, 14240.34\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.43\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 70\n",
-       "        Gradient (width, height): 0.00196211, 0.00024\n",
-       "        Updates (width, height): 3.37215114, 6.51\n",
-       "        Params (width, height): 10547.47949219, 14246.85\n",
-       "        Figure of merit:          23.43\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 70\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00196211, 0.00024\u001b[0m\n", - " Updates (width, height): \u001b[35m3.37215114, 6.51\u001b[0m\n", - " Params (width, height): \u001b[34m10547.47949219, 14246.85\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.43\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# set up the single patch radiation monitor sizes\n", - "obj_fn_monitor_dim_single_patch = 1.25 * np.mean(patch_init_wh)\n", - "obj_fn_monitor_center_y_single_patch = 0.5 * patch_init_wh[1]\n", - "\n", - "# set up where the directivity monitor will be placed\n", - "directivity_center_x = np.mean(sub_x_single_patch)\n", - "directivity_center_y = np.mean(sub_y_single_patch)\n", - "directivity_size_x = 5 * mm + sub_x_single_patch[1] - sub_x_single_patch[0]\n", - "directivity_size_y = 5 * mm + sub_y_single_patch[1] - sub_y_single_patch[0]\n", - "\n", - "# set ranges of theta and phi to record directivity for\n", - "theta = np.linspace(-np.pi, np.pi, 201)\n", - "phi = np.linspace(0, np.pi, 101)\n", - "\n", - "# set the optimization theta, phi grid that we can compute directivity for via\n", - "# a near field monitor and the field projector\n", - "num_theta_opt_points = 12\n", - "theta_opt = theta[\n", - " (len(theta) // 2) - (num_theta_opt_points // 2) : (len(theta) // 2)\n", - " + (num_theta_opt_points // 2)\n", - " + 1\n", - "]\n", - "phi_opt = phi # use the full phi sweep, but limit the theta points to be centered around 0 degrees\n", - "\n", - "monitor_directivity = td.DirectivityMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0],\n", - " size=(\n", - " directivity_size_x,\n", - " directivity_size_y,\n", - " 4 * mm,\n", - " ),\n", - " freqs=opt_freqs_single_patch,\n", - " name=\"directivity\",\n", - " phi=list(phi),\n", - " theta=list(theta),\n", - " far_field_approx=True,\n", - ")\n", - "\n", - "monitor_radiation = td.FieldMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", - " size=(directivity_size_x, directivity_size_y, 0.0),\n", - " freqs=opt_freqs_single_patch,\n", - " name=\"radiation\",\n", - ")\n", - "\n", - "monitor_far_field = td.FieldProjectionAngleMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", - " size=(directivity_size_x, directivity_size_y, 0.0),\n", - " freqs=opt_freqs_single_patch,\n", - " name=\"far_field\",\n", - " phi=phi_opt,\n", - " theta=theta_opt,\n", - " far_field_approx=True,\n", - " proj_distance=50 * wavelength0, # project far away form antenna\n", - ")\n", - "\n", - "single_patch_optimization_monitors = [monitor_directivity, monitor_radiation, monitor_far_field]\n", - "\n", - "initial_gain, initial_poynting_flux = compute_gain(\n", - " patch_init_wh,\n", - " params_to_boxes_single_patch,\n", - " sub_x_single_patch,\n", - " sub_y_single_patch,\n", - " single_patch_optimization_monitors,\n", - " opt_freqs_single_patch,\n", - ")\n", - "\n", - "# set up the objective function for the single patch that is a function\n", - "# of the patch width and height\n", - "obj_fn = lambda patch_wh: objective_fn(\n", - " patch_wh,\n", - " params_to_boxes_single_patch,\n", - " sub_x_single_patch,\n", - " sub_y_single_patch,\n", - " single_patch_optimization_monitors,\n", - " opt_freqs_single_patch,\n", - " initial_gain,\n", - " initial_poynting_flux,\n", - ")\n", - "\n", - "# get function to compute the gradient of the objective\n", - "obj_val_and_grad = value_and_grad(obj_fn)\n", - "\n", - "patch_wh = patch_init_wh.copy()\n", - "\n", - "# set up optimization parameters and optimizer\n", - "learning_rate = 30#40#50\n", - "optimizer = optax.adam(learning_rate=learning_rate, b1=0.8)\n", - "opt_state = optimizer.init(patch_wh)\n", - "\n", - "num_steps = 70#60#49#40\n", - "print_iteration_frequency = 1#4#1 # np.maximum(num_steps // num_optimization_prints, 1)\n", - "\n", - "full_eval_frequency = 8\n", - "s11_sq_dB_evolution = []\n", - "s11_f_ghz = None\n", - "realized_gain_evolution = []\n", - "theta_eval_evolution = None\n", - "\n", - "# set bounds on patch width and height in the optimization\n", - "clip_min_single = anp.array([patch_min_width, patch_min_height])\n", - "clip_max_single = anp.array([patch_max_width, patch_max_height])\n", - "\n", - "figure_of_merit_single_patch = np.zeros(num_steps + 1)\n", - "\n", - "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", - "# at each step and clipping the design on the bounds\n", - "for step_idx in range(0, num_steps):\n", - " f, g = obj_val_and_grad(patch_wh)\n", - "\n", - " figure_of_merit_single_patch[step_idx] = f\n", - "\n", - " if (step_idx % full_eval_frequency) == 0:\n", - " \n", - " s_matrix_eval, _, theta_eval, realized_gain_eval = evaluate_single_antenna(\n", - " patch_wh, freqs_s_params, opt_freqs_single_patch\n", - " )\n", - " s_matrix_f_ghz = s_matrix_eval.f / 1e9\n", - " s11_f_ghz = s_matrix_f_ghz.copy()\n", - " s11_data_selection = s_matrix_eval.isel(port_out=0, port_in=0)\n", - " s11_sq_dB_evolution.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", - "\n", - " realized_gain_evolution.append(\n", - " {\n", - " \"Gtheta\" : realized_gain_eval[\"Gtheta\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", - " \"Gphi\" : realized_gain_eval[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values\n", - " } \n", - " )\n", - "\n", - " theta_eval_evolution = theta_eval.copy()\n", - " \n", - " updates, opt_state = optimizer.update(-g, opt_state, patch_wh)\n", - "\n", - " patch_wh = optax.apply_updates(patch_wh, updates)\n", - " patch_wh = anp.array(patch_wh)\n", - " patch_wh = anp.clip(patch_wh, a_min=clip_min_single, a_max=clip_max_single)\n", - "\n", - " if (step_idx % print_iteration_frequency) == 0:\n", - " output_text = Text.assemble(\n", - " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", - " \"\\n\",\n", - " (f\"\\tGradient (width, height): \", \"\"),\n", - " (f\"{g[0]:.8f}, {g[1]:.5f}\", \"magenta\"),\n", - " \"\\n\",\n", - " (f\"\\tUpdates (width, height): \", \"\"),\n", - " (f\"{updates[0]:.8f}, {updates[1]:.2f}\", \"magenta\"),\n", - " \"\\n\",\n", - " (f\"\\tParams (width, height): \", \"\"),\n", - " (f\"{patch_wh[0]:.8f}, {patch_wh[1]:.2f}\", \"blue\"),\n", - " \"\\n\",\n", - " (f\"\\tFigure of merit: \", \"bold\"),\n", - " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", - " )\n", - " console.print(output_text)\n", - "\n", - "figure_of_merit_single_patch[num_steps] = obj_fn(patch_wh)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we set up the objective function for our single patch optimization and use the `Adam` optimizer from `optax` to modify the patch width and height according to the adjoint gradient." - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot the results of the optimization including the optimization trajectory and the resulting patch geometry\n", - "# compared to the initial state\n", - "plot_optimization_results(\n", - " figure_of_merit_single_patch,\n", - " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", - " params_to_boxes_single_patch(patch_init_wh),\n", - " params_to_boxes_single_patch(patch_wh),\n", - ")\n", - "\n", - "plot_antenna_evolution(s11_sq_dB_evolution, s11_f_ghz, realized_gain_evolution, opt_freqs_single_patch, theta_eval_evolution)" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6dd0c7bc3f994089834dc34dea490ba0", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
21:01:13 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m21:01:13 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
21:01:20 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m21:01:20 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "da2ab4b1dfc14060afe07d84f51b7f58", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "41a5878cb8d247b4a989e0e79d130ef0",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "50ac09f9b014494fbaa007e54f2441a6",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
21:02:30 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m21:02:30 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
21:02:37 EDT Maximum FlexCredit cost: 0.200 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m21:02:37 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.200\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "7d32cde4ccdb410fabd42186826de0a8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "552166044e9343e28b975e59c8feed8a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Compute S11 and realized gain for the inital patch geometry\n", - "s_matrix_init, sim_data_init, theta, realized_gain_init = evaluate_single_antenna(\n", - " patch_init_wh, freqs_s_params, opt_freqs_single_patch\n", - ")\n", - "# Compute S11 and realized gain for the optimized patch geometry\n", - "s_matrix_final, sim_data_final, theta, realized_gain_final = evaluate_single_antenna(\n", - " patch_wh, freqs_s_params, opt_freqs_single_patch\n", - ")\n", - "\n", - "# plot the comparison in S11 and gain for the initial and optimized antennas for phi=0\n", - "plot_phi = 0.0\n", - "plot_antenna_comparison(\n", - " [s_matrix_init, s_matrix_final],\n", - " [sim_data_init, sim_data_final],\n", - " [realized_gain_init, realized_gain_final],\n", - " opt_freqs_single_patch,\n", - " theta,\n", - " plot_phi,\n", - " sim_names=[\"before optimization\", \"after optimization\"],\n", - " plot_title=f\"Antenna Comparison (phi=0)\",\n", - ")\n", - "\n", - "# plot the comparison in S11 and gain for the initial and optimized antennas for phi=pi / 2\n", - "plot_phi = np.pi / 2.0\n", - "plot_antenna_comparison(\n", - " [s_matrix_init, s_matrix_final],\n", - " [realized_gain_init, sim_data_final],\n", - " [realized_gain_init, realized_gain_final],\n", - " opt_freqs_single_patch,\n", - " theta,\n", - " plot_phi,\n", - " sim_names=[\"before optimization\", \"after optimization\"],\n", - " plot_title=f\"Antenna Comparison (phi=\\u03a0 / 2)\",\n", - ")\n", - "# Save results of optimization\n", - "np.save(\"misc/single_patch_box_antenna_optimization.npy\", patch_wh)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Expanding the Design Space: Optimizing a Patch Antenna with Coupled Passive Radiators\n", - "\n", - "In the next optimization, we optimize a patch antenna for dual-band operation. The appropriate choice of patch width and height for a single radiator doesn't typically require an advanced optimization technique. Based on the patch antenna operating principle, initial values for these parameters can be found and small tweaks or even parameter sweeps can identify geometries with the desired resonant behavior. By optimizing via the adjoint method in the single patch example, we validated we could also optimize the geometry via gradients. However, in cases where there are not intuitive solutions or we would like to take advantage of a larger number of degrees of freedom, the adjoint method becomes increasingly useful. Below, we allow the patch to have a more interesting shape by creating an optimizable inset at the feed connection as well as fin structures on the top antenna edge. Additionally, we add passive radiating structures that couple to the central patch and optimize both their size and relative position to the central patch. The degrees of freedom are indicated in the diagram below, but in summary we move the 2-dimensional patch antenna optimization to one with 18 dimensions. Here, we utilize gradients computed via the adjoint method to optimize a figure of merit for broader band radiation.\n", - "\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": 104, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "num_passive_radiators = 2\n", - "\n", - "# set min/max patch dimensions for the central and all surrounding patches\n", - "min_patch_dimensions_mm = sum(\n", - " [[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], []\n", - ")\n", - "max_patch_dimensions_mm = sum(\n", - " [[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], []\n", - ")\n", - "\n", - "# set min/max gap between central patch and each surrounding patch\n", - "min_gap_mm = [1 * mm for idx in range(0, num_passive_radiators)]\n", - "max_gap_mm = [5 * mm for idx in range(0, num_passive_radiators)]\n", - "\n", - "# set min/max offset of each surrounding patch center relative to the central patch center\n", - "min_offset_mm = [-8 * mm for idx in range(0, num_passive_radiators)]\n", - "max_offset_mm = [8 * mm for idx in range(0, num_passive_radiators)]\n", - "\n", - "# set the min/max of the patch inset (i.e. - how much the central patch surrounds the feed line)\n", - "max_patch_inset = 8 * mm\n", - "min_patch_inset = 2 * mm\n", - "init_patch_inset = 0.5 * (min_patch_inset + max_patch_inset)\n", - "\n", - "# set the min/max of the inset height and the gap between the feed line and the inset\n", - "min_inset_height = 1 * mm\n", - "max_inset_height = 6 * mm\n", - "min_inset_gap = 0.5 * mm\n", - "max_inset_gap = 2.5 * mm\n", - "\n", - "min_inset = [min_inset_height, min_inset_height, min_inset_gap, min_inset_gap]\n", - "max_inset = [max_inset_height, max_inset_height, max_inset_gap, max_inset_gap]\n", - "\n", - "# set the min/max of the fin widths and heights at the top of the central patch\n", - "min_fin_width = 1 * mm\n", - "max_fin_width = 10 * mm\n", - "min_fin_height = 1 * mm\n", - "max_fin_height = 10 * mm\n", - "\n", - "min_fin = [min_fin_width, min_fin_height, min_fin_width, min_fin_height]\n", - "max_fin = [max_fin_width, max_fin_height, max_fin_width, max_fin_height]\n", - "\n", - "# combine all the min/max values into clipping arrays to use in the optimization\n", - "clip_min_values = min_patch_dimensions_mm + min_gap_mm + min_offset_mm + min_inset + min_fin\n", - "clip_max_values = max_patch_dimensions_mm + max_gap_mm + max_offset_mm + max_inset + max_fin\n", - "\n", - "# set initial passive patch sizes\n", - "min_dim_avg = 0.5 * (patch_min_width + patch_min_height)\n", - "init_passive_wh = [\n", - " min_dim_avg,\n", - " 0.5 * (patch_min_height + patch_max_height),\n", - " min_dim_avg,\n", - " 0.5 * (patch_min_height + patch_max_height),\n", - "]\n", - "\n", - "# set the initial passive patch gaps to the central patch\n", - "init_gap_sizes = [2 * mm for idx in range(0, num_passive_radiators)]\n", - "\n", - "# set the initial passive patch offsets to the fixed central patch center\n", - "init_offset_coord_locations = [0.5 * patch_init_wh[1], 0.5 * patch_init_wh[1]]\n", - "\n", - "# start the central patch at the same initial width/height as in the single patch case\n", - "init_central = list(patch_init_wh.copy())\n", - "\n", - "# collect all the passive parameters\n", - "init_passive = init_passive_wh + init_gap_sizes + init_offset_coord_locations\n", - "\n", - "# initialize inset heights and gaps\n", - "init_inset_height = 3 * mm\n", - "init_inset_gap = 0.75 * mm\n", - "init_inset = [init_inset_height, init_inset_height, init_inset_gap, init_inset_gap]\n", - "\n", - "# initialize fin widths and heights\n", - "init_fin_width = 3 * mm\n", - "init_fin_height = 5 * mm\n", - "init_fin = [init_fin_width, init_fin_height, init_fin_width, init_fin_height]\n", - "\n", - "# combine the initial parameters together\n", - "init_params = init_central + init_passive + init_inset + init_fin\n", - "\n", - "assert (\n", - " num_passive_radiators == 2\n", - "), \"The multi patch optimization is set up specifically for 2 passive radiators.\"\n", - "\n", - "\n", - "def params_to_boxes_multi_patch(params):\n", - " \"\"\"\n", - " Unpack the multi-patch optimization parameters into patch geometries for the central\n", - " patch and the surrounding passive radiating patches.\n", - " \"\"\"\n", - " min_dimension_mm = 0.5*mm\n", - " \n", - " inset_height_left = params[-8]\n", - " inset_height_right = params[-7]\n", - " inset_gap_left = params[-6]\n", - " inset_gap_right = params[-5]\n", - "\n", - " fin_left_width = params[-4]\n", - " fin_left_height = params[-3]\n", - " fin_right_width = params[-2]\n", - " fin_right_height = params[-1]\n", - "\n", - " num_params_wh_central = 2\n", - " wh_central = params[0:num_params_wh_central]\n", - "\n", - " wh_passive_params = params[num_params_wh_central:]\n", - " num_params_wh_passive = 2\n", - "\n", - " wh_passive = []\n", - " for idx in range(0, num_passive_radiators):\n", - " wh_passive.append(\n", - " wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)]\n", - " )\n", - "\n", - " gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators :]\n", - " gaps = gap_params[0:num_passive_radiators]\n", - "\n", - " offset_params = gap_params[num_passive_radiators:]\n", - " offset_coords = offset_params[0:num_passive_radiators]\n", - "\n", - " left_central = -0.5 * wh_central[0]\n", - " right_central = 0.5 * wh_central[0]\n", - "\n", - " left_passive_patch_idx = 0\n", - " right_passive_patch_idx = 1\n", - "\n", - " left_passive_right = left_central - gaps[left_passive_patch_idx]\n", - " left_passive_left = left_passive_right - wh_passive[left_passive_patch_idx][0]\n", - " left_passive_bottom = (\n", - " offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n", - " )\n", - " left_passive_top = (\n", - " offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n", - " )\n", - "\n", - " right_passive_left = right_central + gaps[right_passive_patch_idx]\n", - " right_passive_right = right_passive_left + wh_passive[right_passive_patch_idx][0]\n", - " right_passive_bottom = (\n", - " offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n", - " )\n", - " right_passive_top = (\n", - " offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n", - " )\n", - "\n", - " inset_left = td.Box.from_bounds(\n", - " [-0.5 * wh_central[0], -inset_height_left, sub_z / 2.0],\n", - " [feed_offset - 0.5 * feed_x - inset_gap_left, 0.0, sub_z / 2.0],\n", - " )\n", - "\n", - " inset_right = td.Box.from_bounds(\n", - " [feed_offset + 0.5 * feed_x + inset_gap_right, -inset_height_right, sub_z / 2.0],\n", - " [0.5 * wh_central[0], 0, sub_z / 2.0],\n", - " )\n", - "\n", - " fin_left = td.Box.from_bounds(\n", - " [-0.5 * wh_central[0], wh_central[1], sub_z / 2.0],\n", - " [-0.5 * wh_central[0] + fin_left_width, wh_central[1] + fin_left_height, sub_z / 2.0],\n", - " )\n", - "\n", - " fin_right = td.Box.from_bounds(\n", - " [0.5 * wh_central[0] - fin_right_width, wh_central[1], sub_z / 2.0],\n", - " [0.5 * wh_central[0], wh_central[1] + fin_right_height, sub_z / 2.0],\n", - " )\n", - "\n", - " boxes = [\n", - " # central patch\n", - " td.Box.from_bounds(\n", - " [-0.5 * wh_central[0], 0, sub_z / 2], [0.5 * wh_central[0], wh_central[1], sub_z / 2]\n", - " ),\n", - " # inset patches\n", - " inset_left,\n", - " inset_right,\n", - " # fin patches\n", - " fin_left,\n", - " fin_right,\n", - " # passive patches\n", - " td.Box.from_bounds(\n", - " [left_passive_left, left_passive_bottom, sub_z / 2],\n", - " [left_passive_right, left_passive_top, sub_z / 2],\n", - " ),\n", - " td.Box.from_bounds(\n", - " [right_passive_left, right_passive_bottom, sub_z / 2],\n", - " [right_passive_right, right_passive_top, sub_z / 2],\n", - " ),\n", - " ]\n", - "\n", - " min_dim_boxes = []\n", - " for box in boxes:\n", - " box_size_lateral = [np.maximum(min_dimension_mm, s) for s in box.size[0:2]]\n", - " min_dim_boxes.append(box.updated_copy(size=tuple(box_size_lateral + [box.size[2]])))\n", - "\n", - " return min_dim_boxes\n", - "\n", - "\n", - "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", - "plot_structures_and_mesh(\n", - " params_to_boxes_multi_patch(init_params), sub_x_multi_patch, sub_y_multi_patch\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Similar to the single patch case, we set up a function to evaluate the performance of the antenna during and after the optimization." - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "metadata": {}, - "outputs": [], - "source": [ - "# helper function for evaluating antenna performance for the multi patch geometry\n", - "evaluate_multi_antenna = lambda patch_params, eval_s_params_freqs, opt_freqs: (\n", - " evaluate_antenna(\n", - " params_to_boxes_multi_patch(patch_params),\n", - " eval_s_params_freqs,\n", - " opt_freqs,\n", - " sub_x_multi_patch,\n", - " sub_y_multi_patch,\n", - " )\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we set up monitors for computing the figures of merit and then run the antenna optimization." - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9152c78493a545fab28df5835245fd35", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
09:59:50 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m09:59:50 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
09:59:53 EDT Maximum FlexCredit cost: 0.740 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m09:59:53 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.740\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "03d2a668700a4e5b804ef4fb342d67a1", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0edba5f7d17e4e11bed693676427419f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 69\n",
-       "        Figure of merit: 7.19\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 69\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.19\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 70\n",
-       "        Figure of merit: 7.14\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 70\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.14\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 71\n",
-       "        Figure of merit: 7.25\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 71\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.25\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 72\n",
-       "        Figure of merit: 7.36\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 72\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.36\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "bf492134714048bd82dc45dca0b22ce7", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
10:24:48 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m10:24:48 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
10:24:56 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m10:24:56 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9c764edb096346949b6334ab5f3bc9de", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "820fbc70ea774ca2b866ccc8e03b20a0",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 73\n",
-       "        Figure of merit: 7.37\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 73\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.37\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 74\n",
-       "        Figure of merit: 7.36\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 74\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.36\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 75\n",
-       "        Figure of merit: 7.37\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 75\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.37\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 76\n",
-       "        Figure of merit: 7.33\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 76\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.33\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 77\n",
-       "        Figure of merit: 7.31\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 77\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.31\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 78\n",
-       "        Figure of merit: 7.35\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 78\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.35\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "50fa9267c5794bae9607fa373033d6cb", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
10:48:24 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m10:48:24 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
10:48:27 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m10:48:27 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a6c0c89fd5e44128a3fb20fb37f2f3f6", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
+    }
+   ],
+   "source": [
+    "# Compute S11 and realized gain for the inital patch geometry\n",
+    "s_matrix_init, sim_data_init, theta, realized_gain_init = evaluate_single_antenna(\n",
+    "    patch_init_wh, freqs_s_params, opt_freqs_single_patch\n",
+    ")\n",
+    "# Compute S11 and realized gain for the optimized patch geometry\n",
+    "s_matrix_final, sim_data_final, theta, realized_gain_final = evaluate_single_antenna(\n",
+    "    patch_wh, freqs_s_params, opt_freqs_single_patch\n",
+    ")\n",
+    "\n",
+    "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=0\n",
+    "plot_phi = 0.0\n",
+    "plot_antenna_comparison(\n",
+    "    [s_matrix_init, s_matrix_final],\n",
+    "    [sim_data_init, sim_data_final],\n",
+    "    [realized_gain_init, realized_gain_final],\n",
+    "    opt_freqs_single_patch,\n",
+    "    theta,\n",
+    "    plot_phi,\n",
+    "    sim_names=[\"before optimization\", \"after optimization\"],\n",
+    "    plot_title=f\"Antenna Comparison (phi=0)\",\n",
+    ")\n",
+    "\n",
+    "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=pi / 2\n",
+    "plot_phi = np.pi / 2.0\n",
+    "plot_antenna_comparison(\n",
+    "    [s_matrix_init, s_matrix_final],\n",
+    "    [realized_gain_init, sim_data_final],\n",
+    "    [realized_gain_init, realized_gain_final],\n",
+    "    opt_freqs_single_patch,\n",
+    "    theta,\n",
+    "    plot_phi,\n",
+    "    sim_names=[\"before optimization\", \"after optimization\"],\n",
+    "    plot_title=f\"Antenna Comparison (phi=\\u03a0 / 2)\",\n",
+    ")\n",
+    "# Save results of optimization\n",
+    "np.save(\"misc/single_patch_box_antenna_optimization.npy\", patch_wh)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Expanding the Design Space: Optimizing a Patch Antenna with Coupled Passive Radiators\n",
+    "\n",
+    "In the next optimization, we optimize a patch antenna for dual-band operation. The appropriate choice of patch width and height for a single radiator doesn't typically require an advanced optimization technique. Based on the patch antenna operating principle, initial values for these parameters can be found and small tweaks or even parameter sweeps can identify geometries with the desired resonant behavior. By optimizing via the adjoint method in the single patch example, we validated we could also optimize the geometry via gradients. However, in cases where there are not intuitive solutions or we would like to take advantage of a larger number of degrees of freedom, the adjoint method becomes increasingly useful. Below, we allow the patch to have a more interesting shape by creating an optimizable inset at the feed connection as well as fin structures on the top antenna edge. Additionally, we add passive radiating structures that couple to the central patch and optimize both their size and relative position to the central patch. The degrees of freedom are indicated in the diagram below, but in summary we move the 2-dimensional patch antenna optimization to one with 18 dimensions. Here, we utilize gradients computed via the adjoint method to optimize a figure of merit for broader band radiation.\n",
+    "\n",
+    ""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1b14e94c3e0a4e1a9836ccec6c2cf11a",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "image/png": "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",
       "text/plain": [
-       "Output()"
+       "
" ] }, "metadata": {}, "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
+    }
+   ],
+   "source": [
+    "num_passive_radiators = 2\n",
+    "\n",
+    "# set min/max patch dimensions for the central and all surrounding patches\n",
+    "min_patch_dimensions_mm = sum(\n",
+    "    [[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], []\n",
+    ")\n",
+    "max_patch_dimensions_mm = sum(\n",
+    "    [[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], []\n",
+    ")\n",
+    "\n",
+    "# set min/max gap between central patch and each surrounding patch\n",
+    "min_gap_mm = [0.5 * mm for idx in range(0, num_passive_radiators)]\n",
+    "max_gap_mm = [5 * mm for idx in range(0, num_passive_radiators)]\n",
+    "\n",
+    "# set min/max offset of each surrounding patch center relative to the central patch center\n",
+    "min_offset_mm = [-10 * mm for idx in range(0, num_passive_radiators)]\n",
+    "max_offset_mm = [10 * mm for idx in range(0, num_passive_radiators)]\n",
+    "\n",
+    "# set the min/max of the patch inset (i.e. - how much the central patch surrounds the feed line)\n",
+    "max_patch_inset = 6 * mm\n",
+    "min_patch_inset = 1 * mm\n",
+    "init_patch_inset = 0.5 * (min_patch_inset + max_patch_inset)\n",
+    "\n",
+    "# set the min/max of the inset height and the gap between the feed line and the inset\n",
+    "min_inset_height = 1 * mm\n",
+    "max_inset_height = 6 * mm\n",
+    "min_inset_gap = 0.5 * mm\n",
+    "max_inset_gap = 2.0 * mm\n",
+    "\n",
+    "min_inset = [min_inset_height, min_inset_height, min_inset_gap, min_inset_gap]\n",
+    "max_inset = [max_inset_height, max_inset_height, max_inset_gap, max_inset_gap]\n",
+    "\n",
+    "# set the min/max of the fin widths and heights at the top of the central patch\n",
+    "min_fin_width = 1 * mm\n",
+    "max_fin_width = 6*mm#10 * mm\n",
+    "min_fin_height = 1 * mm\n",
+    "max_fin_height = 6*mm#10 * mm\n",
+    "\n",
+    "min_fin = [min_fin_width, min_fin_height, min_fin_width, min_fin_height]\n",
+    "max_fin = [max_fin_width, max_fin_height, max_fin_width, max_fin_height]\n",
+    "\n",
+    "# combine all the min/max values into clipping arrays to use in the optimization\n",
+    "clip_min_values = min_patch_dimensions_mm + min_gap_mm + min_offset_mm + min_inset + min_fin\n",
+    "clip_max_values = max_patch_dimensions_mm + max_gap_mm + max_offset_mm + max_inset + max_fin\n",
+    "\n",
+    "# set initial passive patch sizes\n",
+    "min_dim_avg = 0.5 * (patch_min_width + patch_min_height)\n",
+    "init_passive_wh = [\n",
+    "    min_dim_avg,\n",
+    "    0.5 * (patch_min_height + patch_max_height),\n",
+    "    min_dim_avg,\n",
+    "    0.5 * (patch_min_height + patch_max_height),\n",
+    "]\n",
+    "\n",
+    "# set the initial passive patch gaps to the central patch\n",
+    "init_gap_sizes = [2 * mm for idx in range(0, num_passive_radiators)]\n",
+    "\n",
+    "# set the initial passive patch offsets to the fixed central patch center\n",
+    "init_offset_coord_locations = [0.5 * patch_init_wh[1], 0.5 * patch_init_wh[1]]\n",
+    "\n",
+    "# start the central patch at the same initial width/height as in the single patch case\n",
+    "init_central = list(patch_init_wh.copy())\n",
+    "\n",
+    "# collect all the passive parameters\n",
+    "init_passive = init_passive_wh + init_gap_sizes + init_offset_coord_locations\n",
+    "\n",
+    "# initialize inset heights and gaps\n",
+    "init_inset_height = 3 * mm\n",
+    "init_inset_gap = 0.75 * mm\n",
+    "init_inset = [init_inset_height, init_inset_height, init_inset_gap, init_inset_gap]\n",
+    "\n",
+    "# initialize fin widths and heights\n",
+    "init_fin_width = 2.5 * mm\n",
+    "init_fin_height = 4 * mm\n",
+    "init_fin = [init_fin_width, init_fin_height, init_fin_width, init_fin_height]\n",
+    "\n",
+    "# combine the initial parameters together\n",
+    "init_params = init_central + init_passive + init_inset + init_fin\n",
+    "\n",
+    "assert (\n",
+    "    num_passive_radiators == 2\n",
+    "), \"The multi patch optimization is set up specifically for 2 passive radiators.\"\n",
+    "\n",
+    "\n",
+    "def params_to_boxes_multi_patch(params):\n",
+    "    \"\"\"\n",
+    "    Unpack the multi-patch optimization parameters into patch geometries for the central\n",
+    "    patch and the surrounding passive radiating patches.\n",
+    "    \"\"\"    \n",
+    "    inset_height_left = params[-8]\n",
+    "    inset_height_right = params[-7]\n",
+    "    inset_gap_left = params[-6]\n",
+    "    inset_gap_right = params[-5]\n",
+    "\n",
+    "    fin_left_width = params[-4]\n",
+    "    fin_left_height = params[-3]\n",
+    "    fin_right_width = params[-2]\n",
+    "    fin_right_height = params[-1]\n",
+    "\n",
+    "    num_params_wh_central = 2\n",
+    "    wh_central = params[0:num_params_wh_central]\n",
+    "\n",
+    "    wh_passive_params = params[num_params_wh_central:]\n",
+    "    num_params_wh_passive = 2\n",
+    "\n",
+    "    wh_passive = []\n",
+    "    for idx in range(0, num_passive_radiators):\n",
+    "        wh_passive.append(\n",
+    "            wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)]\n",
+    "        )\n",
+    "\n",
+    "    gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators :]\n",
+    "    gaps = gap_params[0:num_passive_radiators]\n",
+    "\n",
+    "    offset_params = gap_params[num_passive_radiators:]\n",
+    "    offset_coords = offset_params[0:num_passive_radiators]\n",
+    "\n",
+    "    left_central = -0.5 * wh_central[0]\n",
+    "    right_central = 0.5 * wh_central[0]\n",
+    "\n",
+    "    left_passive_patch_idx = 0\n",
+    "    right_passive_patch_idx = 1\n",
+    "\n",
+    "    left_passive_right = left_central - gaps[left_passive_patch_idx]\n",
+    "    left_passive_left = left_passive_right - wh_passive[left_passive_patch_idx][0]\n",
+    "    left_passive_bottom = (\n",
+    "        offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n",
+    "    )\n",
+    "    left_passive_top = (\n",
+    "        offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n",
+    "    )\n",
+    "\n",
+    "    right_passive_left = right_central + gaps[right_passive_patch_idx]\n",
+    "    right_passive_right = right_passive_left + wh_passive[right_passive_patch_idx][0]\n",
+    "    right_passive_bottom = (\n",
+    "        offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n",
+    "    )\n",
+    "    right_passive_top = (\n",
+    "        offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n",
+    "    )\n",
+    "\n",
+    "    inset_left = td.Box.from_bounds(\n",
+    "        [-0.5 * wh_central[0], -inset_height_left, sub_z / 2.0],\n",
+    "        [feed_offset - 0.5 * feed_x - inset_gap_left, 0.0, sub_z / 2.0],\n",
+    "    )\n",
+    "\n",
+    "    inset_right = td.Box.from_bounds(\n",
+    "        [feed_offset + 0.5 * feed_x + inset_gap_right, -inset_height_right, sub_z / 2.0],\n",
+    "        [0.5 * wh_central[0], 0, sub_z / 2.0],\n",
+    "    )\n",
+    "\n",
+    "    fin_left = td.Box.from_bounds(\n",
+    "        [-0.5 * wh_central[0], wh_central[1], sub_z / 2.0],\n",
+    "        [-0.5 * wh_central[0] + fin_left_width, wh_central[1] + fin_left_height, sub_z / 2.0],\n",
+    "    )\n",
+    "\n",
+    "    fin_right = td.Box.from_bounds(\n",
+    "        [0.5 * wh_central[0] - fin_right_width, wh_central[1], sub_z / 2.0],\n",
+    "        [0.5 * wh_central[0], wh_central[1] + fin_right_height, sub_z / 2.0],\n",
+    "    )\n",
+    "\n",
+    "    boxes = [\n",
+    "        # central patch\n",
+    "        td.Box.from_bounds(\n",
+    "            [-0.5 * wh_central[0], 0, sub_z / 2], [0.5 * wh_central[0], wh_central[1], sub_z / 2]\n",
+    "        ),\n",
+    "        # inset patches\n",
+    "        inset_left,\n",
+    "        inset_right,\n",
+    "        # fin patches\n",
+    "        fin_left,\n",
+    "        fin_right,\n",
+    "        # passive patches\n",
+    "        td.Box.from_bounds(\n",
+    "            [left_passive_left, left_passive_bottom, sub_z / 2],\n",
+    "            [left_passive_right, left_passive_top, sub_z / 2],\n",
+    "        ),\n",
+    "        td.Box.from_bounds(\n",
+    "            [right_passive_left, right_passive_bottom, sub_z / 2],\n",
+    "            [right_passive_right, right_passive_top, sub_z / 2],\n",
+    "        ),\n",
+    "    ]\n",
+    "\n",
+    "    return boxes\n",
+    "\n",
+    "\n",
+    "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n",
+    "plot_structures_and_mesh(\n",
+    "    params_to_boxes_multi_patch(init_params), sub_x_multi_patch, sub_y_multi_patch\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Similar to the single patch case, we set up a function to evaluate the performance of the antenna during and after the optimization."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Helper function for evaluating antenna performance for the multi patch geometry\n",
+    "evaluate_multi_antenna = lambda patch_params, eval_s_params_freqs, opt_freqs: (\n",
+    "    evaluate_antenna(\n",
+    "        params_to_boxes_multi_patch(patch_params),\n",
+    "        eval_s_params_freqs,\n",
+    "        opt_freqs,\n",
+    "        sub_x_multi_patch,\n",
+    "        sub_y_multi_patch,\n",
+    "    )\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now, we set up monitors for computing the figures of merit and then run the antenna optimization."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
     {
      "data": {
       "text/html": [
-       "
Iteration 79\n",
-       "        Figure of merit: 7.41\n",
+       "
Iteration 1\n",
+       "        Figure of merit: 0.19\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 79\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.41\u001b[0m\n" + "\u001b[1;36mIteration 1\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.19\u001b[0m\n" ] }, "metadata": {}, @@ -5134,13 +2847,13 @@ { "data": { "text/html": [ - "
Iteration 80\n",
-       "        Figure of merit: 7.46\n",
+       "
Iteration 2\n",
+       "        Figure of merit: 0.22\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 80\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.46\u001b[0m\n" + "\u001b[1;36mIteration 2\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.22\u001b[0m\n" ] }, "metadata": {}, @@ -5149,13 +2862,13 @@ { "data": { "text/html": [ - "
Iteration 81\n",
-       "        Figure of merit: 7.50\n",
+       "
Iteration 3\n",
+       "        Figure of merit: 0.23\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 81\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.50\u001b[0m\n" + "\u001b[1;36mIteration 3\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.23\u001b[0m\n" ] }, "metadata": {}, @@ -5164,13 +2877,13 @@ { "data": { "text/html": [ - "
Iteration 82\n",
-       "        Figure of merit: 7.55\n",
+       "
Iteration 4\n",
+       "        Figure of merit: 0.24\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 82\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.55\u001b[0m\n" + "\u001b[1;36mIteration 4\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.24\u001b[0m\n" ] }, "metadata": {}, @@ -5179,13 +2892,13 @@ { "data": { "text/html": [ - "
Iteration 83\n",
-       "        Figure of merit: 7.54\n",
+       "
Iteration 5\n",
+       "        Figure of merit: 0.25\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 83\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.54\u001b[0m\n" + "\u001b[1;36mIteration 5\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.25\u001b[0m\n" ] }, "metadata": {}, @@ -5194,27 +2907,13 @@ { "data": { "text/html": [ - "
Iteration 84\n",
-       "        Figure of merit: 7.57\n",
+       "
Iteration 6\n",
+       "        Figure of merit: 0.26\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 84\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.57\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f3d3ca2eaff64de3bef7b1de926c09a2", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" + "\u001b[1;36mIteration 6\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.26\u001b[0m\n" ] }, "metadata": {}, @@ -5223,21 +2922,13 @@ { "data": { "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:11:10 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
Iteration 7\n",
+       "        Figure of merit: 0.27\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m11:11:10 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[1;36mIteration 7\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.27\u001b[0m\n" ] }, "metadata": {}, @@ -5246,11 +2937,13 @@ { "data": { "text/html": [ - "
11:11:13 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
Iteration 8\n",
+       "        Figure of merit: 0.28\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m11:11:13 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + "\u001b[1;36mIteration 8\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.28\u001b[0m\n" ] }, "metadata": {}, @@ -5259,27 +2952,13 @@ { "data": { "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
+       "
Iteration 9\n",
+       "        Figure of merit: 0.29\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9a5f885e35c74ce28165110f2b094715", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" + "\u001b[1;36mIteration 9\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.29\u001b[0m\n" ] }, "metadata": {}, @@ -5288,11 +2967,13 @@ { "data": { "text/html": [ - "
11:11:14 EDT Batch complete.                                                    \n",
+       "
Iteration 10\n",
+       "        Figure of merit: 0.30\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m11:11:14 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + "\u001b[1;36mIteration 10\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.30\u001b[0m\n" ] }, "metadata": {}, @@ -5301,22 +2982,13 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 11\n",
+       "        Figure of merit: 0.30\n",
+       "
\n" ], - "text/plain": [] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "74bc6ce53cab4f0aa3bc3f8474d2dc09", - "version_major": 2, - "version_minor": 0 - }, "text/plain": [ - "Output()" + "\u001b[1;36mIteration 11\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.30\u001b[0m\n" ] }, "metadata": {}, @@ -5325,23 +2997,13 @@ { "data": { "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 85\n",
-       "        Figure of merit: 7.60\n",
+       "
Iteration 12\n",
+       "        Figure of merit: 0.31\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 85\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.60\u001b[0m\n" + "\u001b[1;36mIteration 12\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.31\u001b[0m\n" ] }, "metadata": {}, @@ -5350,13 +3012,13 @@ { "data": { "text/html": [ - "
Iteration 86\n",
-       "        Figure of merit: 7.60\n",
+       "
Iteration 13\n",
+       "        Figure of merit: 0.34\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 86\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.60\u001b[0m\n" + "\u001b[1;36mIteration 13\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.34\u001b[0m\n" ] }, "metadata": {}, @@ -5365,13 +3027,13 @@ { "data": { "text/html": [ - "
Iteration 87\n",
-       "        Figure of merit: 7.61\n",
+       "
Iteration 14\n",
+       "        Figure of merit: 0.35\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 87\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.61\u001b[0m\n" + "\u001b[1;36mIteration 14\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.35\u001b[0m\n" ] }, "metadata": {}, @@ -5380,13 +3042,13 @@ { "data": { "text/html": [ - "
Iteration 88\n",
-       "        Figure of merit: 7.67\n",
+       "
Iteration 15\n",
+       "        Figure of merit: 0.36\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 88\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.67\u001b[0m\n" + "\u001b[1;36mIteration 15\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.36\u001b[0m\n" ] }, "metadata": {}, @@ -5395,13 +3057,13 @@ { "data": { "text/html": [ - "
Iteration 89\n",
-       "        Figure of merit: 7.70\n",
+       "
Iteration 16\n",
+       "        Figure of merit: 0.37\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 89\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.70\u001b[0m\n" + "\u001b[1;36mIteration 16\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.37\u001b[0m\n" ] }, "metadata": {}, @@ -5410,27 +3072,13 @@ { "data": { "text/html": [ - "
Iteration 90\n",
-       "        Figure of merit: 7.72\n",
+       "
Iteration 17\n",
+       "        Figure of merit: 0.38\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 90\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.72\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "faf5b1af18204efaa9c8e4a3ddfd88fd", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" + "\u001b[1;36mIteration 17\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.38\u001b[0m\n" ] }, "metadata": {}, @@ -5439,21 +3087,13 @@ { "data": { "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:33:01 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
Iteration 18\n",
+       "        Figure of merit: 0.38\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m11:33:01 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[1;36mIteration 18\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.38\u001b[0m\n" ] }, "metadata": {}, @@ -5462,11 +3102,13 @@ { "data": { "text/html": [ - "
11:33:09 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
Iteration 19\n",
+       "        Figure of merit: 0.41\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m11:33:09 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + "\u001b[1;36mIteration 19\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.41\u001b[0m\n" ] }, "metadata": {}, @@ -5475,27 +3117,13 @@ { "data": { "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
+       "
Iteration 20\n",
+       "        Figure of merit: 0.43\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "da7b255b37334c73afbb0b5f2d734af2", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" + "\u001b[1;36mIteration 20\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.43\u001b[0m\n" ] }, "metadata": {}, @@ -5504,11 +3132,13 @@ { "data": { "text/html": [ - "
             Batch complete.                                                    \n",
+       "
Iteration 21\n",
+       "        Figure of merit: 0.45\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + "\u001b[1;36mIteration 21\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.45\u001b[0m\n" ] }, "metadata": {}, @@ -5517,22 +3147,13 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 22\n",
+       "        Figure of merit: 0.47\n",
+       "
\n" ], - "text/plain": [] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2421ffdca7b44d3880dfbea603afe2ed", - "version_major": 2, - "version_minor": 0 - }, "text/plain": [ - "Output()" + "\u001b[1;36mIteration 22\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.47\u001b[0m\n" ] }, "metadata": {}, @@ -5541,23 +3162,13 @@ { "data": { "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 91\n",
-       "        Figure of merit: 7.76\n",
+       "
Iteration 23\n",
+       "        Figure of merit: 0.51\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 91\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.76\u001b[0m\n" + "\u001b[1;36mIteration 23\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.51\u001b[0m\n" ] }, "metadata": {}, @@ -5566,13 +3177,13 @@ { "data": { "text/html": [ - "
Iteration 92\n",
-       "        Figure of merit: 7.80\n",
+       "
Iteration 24\n",
+       "        Figure of merit: 0.63\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 92\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.80\u001b[0m\n" + "\u001b[1;36mIteration 24\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.63\u001b[0m\n" ] }, "metadata": {}, @@ -5581,13 +3192,13 @@ { "data": { "text/html": [ - "
Iteration 93\n",
-       "        Figure of merit: 7.82\n",
+       "
Iteration 25\n",
+       "        Figure of merit: 0.73\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 93\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.82\u001b[0m\n" + "\u001b[1;36mIteration 25\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.73\u001b[0m\n" ] }, "metadata": {}, @@ -5596,13 +3207,13 @@ { "data": { "text/html": [ - "
Iteration 94\n",
-       "        Figure of merit: 7.87\n",
+       "
Iteration 26\n",
+       "        Figure of merit: 0.84\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 94\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.87\u001b[0m\n" + "\u001b[1;36mIteration 26\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.84\u001b[0m\n" ] }, "metadata": {}, @@ -5611,13 +3222,13 @@ { "data": { "text/html": [ - "
Iteration 95\n",
-       "        Figure of merit: 7.89\n",
+       "
Iteration 27\n",
+       "        Figure of merit: 0.95\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 95\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.89\u001b[0m\n" + "\u001b[1;36mIteration 27\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.95\u001b[0m\n" ] }, "metadata": {}, @@ -5626,27 +3237,13 @@ { "data": { "text/html": [ - "
Iteration 96\n",
-       "        Figure of merit: 7.97\n",
+       "
Iteration 28\n",
+       "        Figure of merit: 1.10\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 96\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.97\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "b7c2e1d1747640ccb1facb1445c2b545", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" + "\u001b[1;36mIteration 28\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.10\u001b[0m\n" ] }, "metadata": {}, @@ -5655,21 +3252,13 @@ { "data": { "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
12:47:46 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
Iteration 29\n",
+       "        Figure of merit: 1.37\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m12:47:46 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[1;36mIteration 29\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.37\u001b[0m\n" ] }, "metadata": {}, @@ -5678,11 +3267,13 @@ { "data": { "text/html": [ - "
12:47:51 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
Iteration 30\n",
+       "        Figure of merit: 1.69\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m12:47:51 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + "\u001b[1;36mIteration 30\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.69\u001b[0m\n" ] }, "metadata": {}, @@ -5691,27 +3282,13 @@ { "data": { "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
+       "
Iteration 31\n",
+       "        Figure of merit: 2.12\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "1ab4e71aeb514efba9073e80383b46f6", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" + "\u001b[1;36mIteration 31\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.12\u001b[0m\n" ] }, "metadata": {}, @@ -5720,11 +3297,13 @@ { "data": { "text/html": [ - "
12:47:52 EDT Batch complete.                                                    \n",
+       "
Iteration 32\n",
+       "        Figure of merit: 2.40\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m12:47:52 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + "\u001b[1;36mIteration 32\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.40\u001b[0m\n" ] }, "metadata": {}, @@ -5733,22 +3312,13 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 33\n",
+       "        Figure of merit: 2.94\n",
+       "
\n" ], - "text/plain": [] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "be5e14b0aa2046e7a793bb50ef52e4c8", - "version_major": 2, - "version_minor": 0 - }, "text/plain": [ - "Output()" + "\u001b[1;36mIteration 33\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.94\u001b[0m\n" ] }, "metadata": {}, @@ -5757,23 +3327,13 @@ { "data": { "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 97\n",
-       "        Figure of merit: 8.01\n",
+       "
Iteration 34\n",
+       "        Figure of merit: 3.45\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 97\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.01\u001b[0m\n" + "\u001b[1;36mIteration 34\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.45\u001b[0m\n" ] }, "metadata": {}, @@ -5782,13 +3342,13 @@ { "data": { "text/html": [ - "
Iteration 98\n",
-       "        Figure of merit: 8.06\n",
+       "
Iteration 35\n",
+       "        Figure of merit: 3.58\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 98\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.06\u001b[0m\n" + "\u001b[1;36mIteration 35\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.58\u001b[0m\n" ] }, "metadata": {}, @@ -5797,13 +3357,13 @@ { "data": { "text/html": [ - "
Iteration 99\n",
-       "        Figure of merit: 8.09\n",
+       "
Iteration 36\n",
+       "        Figure of merit: 4.03\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 99\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.09\u001b[0m\n" + "\u001b[1;36mIteration 36\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4.03\u001b[0m\n" ] }, "metadata": {}, @@ -5812,13 +3372,13 @@ { "data": { "text/html": [ - "
Iteration 100\n",
-       "        Figure of merit: 8.14\n",
+       "
Iteration 37\n",
+       "        Figure of merit: 4.53\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 100\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.14\u001b[0m\n" + "\u001b[1;36mIteration 37\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4.53\u001b[0m\n" ] }, "metadata": {}, @@ -5827,13 +3387,13 @@ { "data": { "text/html": [ - "
Iteration 101\n",
-       "        Figure of merit: 8.15\n",
+       "
Iteration 38\n",
+       "        Figure of merit: 5.49\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 101\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.15\u001b[0m\n" + "\u001b[1;36mIteration 38\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m5.49\u001b[0m\n" ] }, "metadata": {}, @@ -5842,27 +3402,13 @@ { "data": { "text/html": [ - "
Iteration 102\n",
-       "        Figure of merit: 8.08\n",
+       "
Iteration 39\n",
+       "        Figure of merit: 6.33\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 102\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.08\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "33060ca2eb7a4735b9edc1dc1dbc2c97", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" + "\u001b[1;36mIteration 39\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m6.33\u001b[0m\n" ] }, "metadata": {}, @@ -5871,9 +3417,14 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 40\n",
+       "        Figure of merit: 7.63\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 40\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.63\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" @@ -5881,11 +3432,13 @@ { "data": { "text/html": [ - "
13:28:08 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
Iteration 41\n",
+       "        Figure of merit: 8.97\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m13:28:08 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[1;36mIteration 41\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.97\u001b[0m\n" ] }, "metadata": {}, @@ -5894,11 +3447,13 @@ { "data": { "text/html": [ - "
13:28:15 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
Iteration 42\n",
+       "        Figure of merit: 10.76\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m13:28:15 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + "\u001b[1;36mIteration 42\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m10.76\u001b[0m\n" ] }, "metadata": {}, @@ -5907,13 +3462,13 @@ { "data": { "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
+       "
Iteration 43\n",
+       "        Figure of merit: 11.38\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" + "\u001b[1;36mIteration 43\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m11.38\u001b[0m\n" ] }, "metadata": {}, @@ -5921,13 +3476,14 @@ }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "cd52d3adf07548499eb21f1626717c79", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 44\n",
+       "        Figure of merit: 12.26\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 44\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m12.26\u001b[0m\n" ] }, "metadata": {}, @@ -5936,11 +3492,13 @@ { "data": { "text/html": [ - "
13:28:16 EDT Batch complete.                                                    \n",
+       "
Iteration 45\n",
+       "        Figure of merit: 15.23\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m13:28:16 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + "\u001b[1;36mIteration 45\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m15.23\u001b[0m\n" ] }, "metadata": {}, @@ -5949,22 +3507,13 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 46\n",
+       "        Figure of merit: 16.74\n",
+       "
\n" ], - "text/plain": [] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "fa3e47b50e3c47b9ac138295274d196b", - "version_major": 2, - "version_minor": 0 - }, "text/plain": [ - "Output()" + "\u001b[1;36mIteration 46\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m16.74\u001b[0m\n" ] }, "metadata": {}, @@ -5973,9 +3522,14 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 47\n",
+       "        Figure of merit: 18.56\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 47\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m18.56\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" @@ -5983,13 +3537,13 @@ { "data": { "text/html": [ - "
Iteration 103\n",
-       "        Figure of merit: 8.27\n",
+       "
Iteration 48\n",
+       "        Figure of merit: 22.44\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 103\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.27\u001b[0m\n" + "\u001b[1;36mIteration 48\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.44\u001b[0m\n" ] }, "metadata": {}, @@ -5998,13 +3552,13 @@ { "data": { "text/html": [ - "
Iteration 104\n",
-       "        Figure of merit: 8.27\n",
+       "
Iteration 49\n",
+       "        Figure of merit: 23.17\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 104\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.27\u001b[0m\n" + "\u001b[1;36mIteration 49\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.17\u001b[0m\n" ] }, "metadata": {}, @@ -6013,13 +3567,13 @@ { "data": { "text/html": [ - "
Iteration 105\n",
-       "        Figure of merit: 8.27\n",
+       "
Iteration 50\n",
+       "        Figure of merit: 24.39\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 105\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.27\u001b[0m\n" + "\u001b[1;36mIteration 50\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m24.39\u001b[0m\n" ] }, "metadata": {}, @@ -6028,13 +3582,13 @@ { "data": { "text/html": [ - "
Iteration 106\n",
-       "        Figure of merit: 8.34\n",
+       "
Iteration 51\n",
+       "        Figure of merit: 26.52\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 106\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.34\u001b[0m\n" + "\u001b[1;36mIteration 51\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m26.52\u001b[0m\n" ] }, "metadata": {}, @@ -6043,13 +3597,13 @@ { "data": { "text/html": [ - "
Iteration 107\n",
-       "        Figure of merit: 8.41\n",
+       "
Iteration 52\n",
+       "        Figure of merit: 29.27\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 107\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.41\u001b[0m\n" + "\u001b[1;36mIteration 52\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m29.27\u001b[0m\n" ] }, "metadata": {}, @@ -6058,13 +3612,13 @@ { "data": { "text/html": [ - "
Iteration 108\n",
-       "        Figure of merit: 8.38\n",
+       "
Iteration 53\n",
+       "        Figure of merit: 31.01\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 108\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.38\u001b[0m\n" + "\u001b[1;36mIteration 53\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m31.01\u001b[0m\n" ] }, "metadata": {}, @@ -6072,13 +3626,14 @@ }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c9e28331c71d49d2bda959a47bf8280e", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 54\n",
+       "        Figure of merit: 32.10\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 54\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m32.10\u001b[0m\n" ] }, "metadata": {}, @@ -6087,9 +3642,14 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 55\n",
+       "        Figure of merit: 33.37\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 55\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m33.37\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" @@ -6097,11 +3657,13 @@ { "data": { "text/html": [ - "
13:50:15 EDT Started working on Batch containing 1 tasks.                       \n",
+       "
Iteration 56\n",
+       "        Figure of merit: 36.22\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m13:50:15 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" + "\u001b[1;36mIteration 56\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m36.22\u001b[0m\n" ] }, "metadata": {}, @@ -6110,11 +3672,13 @@ { "data": { "text/html": [ - "
13:50:19 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
+       "
Iteration 57\n",
+       "        Figure of merit: 37.42\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m13:50:19 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" + "\u001b[1;36mIteration 57\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m37.42\u001b[0m\n" ] }, "metadata": {}, @@ -6123,13 +3687,13 @@ { "data": { "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
+       "
Iteration 58\n",
+       "        Figure of merit: 37.81\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" + "\u001b[1;36mIteration 58\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m37.81\u001b[0m\n" ] }, "metadata": {}, @@ -6137,13 +3701,14 @@ }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "1a42f21d16ce4b22a1f792f468a34305", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 59\n",
+       "        Figure of merit: 37.39\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 59\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m37.39\u001b[0m\n" ] }, "metadata": {}, @@ -6152,11 +3717,13 @@ { "data": { "text/html": [ - "
             Batch complete.                                                    \n",
+       "
Iteration 60\n",
+       "        Figure of merit: 36.46\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + "\u001b[1;36mIteration 60\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m36.46\u001b[0m\n" ] }, "metadata": {}, @@ -6165,22 +3732,28 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 61\n",
+       "        Figure of merit: 38.40\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 61\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m38.40\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a4d72075fda544eca1e3e9585952b553", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
Iteration 62\n",
+       "        Figure of merit: 39.87\n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[1;36mIteration 62\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m39.87\u001b[0m\n" ] }, "metadata": {}, @@ -6189,9 +3762,14 @@ { "data": { "text/html": [ - "
\n"
+       "
Iteration 63\n",
+       "        Figure of merit: 39.92\n",
+       "
\n" ], - "text/plain": [] + "text/plain": [ + "\u001b[1;36mIteration 63\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m39.92\u001b[0m\n" + ] }, "metadata": {}, "output_type": "display_data" @@ -6199,13 +3777,13 @@ { "data": { "text/html": [ - "
Iteration 109\n",
-       "        Figure of merit: 8.29\n",
+       "
Iteration 64\n",
+       "        Figure of merit: 41.47\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 109\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.29\u001b[0m\n" + "\u001b[1;36mIteration 64\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m41.47\u001b[0m\n" ] }, "metadata": {}, @@ -6214,13 +3792,13 @@ { "data": { "text/html": [ - "
Iteration 110\n",
-       "        Figure of merit: 8.45\n",
+       "
Iteration 65\n",
+       "        Figure of merit: 41.75\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 110\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.45\u001b[0m\n" + "\u001b[1;36mIteration 65\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m41.75\u001b[0m\n" ] }, "metadata": {}, @@ -6228,7 +3806,7 @@ } ], "source": [ - "# set up the multi patch radiation monitor sizes\n", + "# Set up the multi patch radiation monitor sizes\n", "obj_fn_monitor_dim_multi_patch = 2.0 * np.mean(patch_init_wh)\n", "obj_fn_monitor_center_y_multi_patch = 0.5 * patch_init_wh[1]\n", "\n", @@ -6271,7 +3849,7 @@ "\n", "multi_patch_optimization_monitors = [monitor_directivity, monitor_radiation, monitor_far_field]\n", "\n", - "initial_gain, initial_poynting_flux = compute_gain(\n", + "initial_poynting_flux = compute_poynting(\n", " init_params,\n", " params_to_boxes_multi_patch,\n", " sub_x_multi_patch,\n", @@ -6289,32 +3867,31 @@ " sub_y_multi_patch,\n", " multi_patch_optimization_monitors,\n", " opt_freqs_multi_patch,\n", - " initial_gain,\n", " initial_poynting_flux,\n", ")\n", "\n", "obj_val_and_grad = value_and_grad(obj_fn)\n", "\n", "# initialize patch parameters\n", - "# patch_params = anp.array(init_params.copy())\n", + "patch_params = anp.array(init_params.copy())\n", "\n", "# set up optimization parameters and optimizer\n", - "learning_rate = 50#60\n", + "learning_rate = 30\n", "optimizer = optax.adam(learning_rate=learning_rate)\n", "opt_state = optimizer.init(patch_params)\n", "\n", - "num_steps = 120#110#105#100#90#70#60\n", + "num_steps = 65\n", "print_iteration_frequency = 1\n", "\n", - "full_eval_frequency = 6#1#5\n", - "s11_sq_dB_evolution = []\n", - "s11_f_ghz = None\n", - "realized_gain_evolution = []\n", - "theta_eval_evolution = None\n", + "full_eval_frequency = 10\n", + "s11_sq_dB_evolution_multi = []\n", + "s11_f_ghz_multi = None\n", + "realized_gain_evolution_multi = []\n", + "theta_eval_evolution_multi = None\n", "\n", "figure_of_merit_multi_patch = np.zeros(num_steps + 1)\n", "\n", - "start_idx = 110#68#0#100#90#85#60\n", + "start_idx = 0\n", "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", "# at each step and clipping the design on the bounds\n", "for step_idx in range(start_idx, num_steps):\n", @@ -6328,17 +3905,17 @@ " patch_params, freqs_s_params, opt_freqs_multi_patch\n", " )\n", " s_matrix_f_ghz = s_matrix.f / 1e9\n", - " s11_f_ghz = s_matrix_f_ghz.copy()\n", + " s11_f_ghz_multi = s_matrix_f_ghz.copy()\n", " s11_data_selection = s_matrix.isel(port_out=0, port_in=0)\n", - " s11_sq_dB_evolution.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", + " s11_sq_dB_evolution_multi.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", "\n", - " realized_gain_evolution.append(\n", + " realized_gain_evolution_multi.append(\n", " {\n", " \"Gtheta\" : realized_gain[\"Gtheta\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", " \"Gphi\" : realized_gain[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values\n", " } \n", " )\n", - " theta_eval_evolution = theta_eval.copy()\n", + " theta_eval_evolution_multi = theta_eval.copy()\n", " \n", " updates, opt_state = optimizer.update(-g, opt_state, patch_params)\n", "\n", @@ -6368,29 +3945,42 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "# plot the results of the optimization including the optimization trajectory and the resulting geometry of the\n", + "# Plot the results of the optimization including the optimization trajectory and the resulting geometry of the\n", "# central and surrounding patches compared to the initial state\n", "plot_optimization_results(\n", " figure_of_merit_multi_patch,\n", " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", " params_to_boxes_multi_patch(init_params),\n", " params_to_boxes_multi_patch(patch_params),\n", - ")" + ")\n", + "\n", + "# Plot the evolution of the antenna S11 and realized gain during the course of the optimization\n", + "plot_antenna_evolution(s11_sq_dB_evolution_multi, s11_f_ghz_multi, realized_gain_evolution_multi, opt_freqs_multi_patch, theta_eval_evolution_multi)" ] }, { @@ -6402,264 +3992,12 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 25, "metadata": {}, "outputs": [ { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9e563ce6fc03479d94b0792418a0b2fa", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
13:58:19 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m13:58:19 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
13:58:22 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m13:58:22 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "139b9260f34d41a3abe2485c235c72eb", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5883417c0c71466c884a47e8767f2f0a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "46262cc0a8094370960e4d06f1ed8eda",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
14:00:09 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m14:00:09 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
14:00:17 EDT Maximum FlexCredit cost: 0.769 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m14:00:17 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.769\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c77ba96b716c4988b50a4f9849464c91", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a6e68b0453b641bd8a74b3e3fc205a77",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
" ] @@ -6669,7 +4007,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -6715,7 +4053,7 @@ ")\n", "\n", "# Save results of optimization\n", - "np.save(\"misc/multi_patch_box_antenna_optimization_v3.npy\", patch_params)" + "np.save(\"misc/multi_patch_box_antenna_optimization.npy\", patch_params)" ] }, { From 00c1e57f3f78be72c8f2dc167b329aa6364db585 Mon Sep 17 00:00:00 2001 From: Gregory Roberts Date: Fri, 12 Sep 2025 17:46:49 -0400 Subject: [PATCH 7/9] rf autograd pec patch antenna optimization notebook --- Autograd28RFPatchAntenna.ipynb | 2356 ------------ Autograd28RFPatchAntennaS11_v3.ipynb | 4092 -------------------- RFAutograd1RectangularPatchAntenna.ipynb | 4391 ++++++++++++++++++++++ 3 files changed, 4391 insertions(+), 6448 deletions(-) delete mode 100644 Autograd28RFPatchAntenna.ipynb delete mode 100644 Autograd28RFPatchAntennaS11_v3.ipynb create mode 100644 RFAutograd1RectangularPatchAntenna.ipynb diff --git a/Autograd28RFPatchAntenna.ipynb b/Autograd28RFPatchAntenna.ipynb deleted file mode 100644 index 54d3594d..00000000 --- a/Autograd28RFPatchAntenna.ipynb +++ /dev/null @@ -1,2356 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [] - }, - "source": [ - "# Adjoint Optimization of planar RF Antennas\n", - "\n", - "In the [Antenna Characteristics](https://www.flexcompute.com/tidy3d/examples/notebooks/AntennaCharacteristics/) notebook, we introduce the characterization of a rectangular patch antenna using the RF solver. If we were to design that patch antenna for a specific application, we would have two parameters to optimize: the patch width and height. By tuning these parameters, one can search for a structure that is resonant at a desired frequency and is impedance-matched to the antenna feed line. However, to overcome traditional limitations of patch antennas, many designers move beyond the two-parameter rectangular restriction and design antennas that have larger bandwidth or circularly polarized radiation. For example, in the [Circularly Polarized Patch Antenna](https://www.flexcompute.com/tidy3d/examples/notebooks/CircularlyPolarizedPatchAntenna/) notebook, we reproduce a patch antenna simulation from the literature that achieves a low-profile design of circularly polarized radiation via a non-rectangular radiator surrounded by rectangular parasitic strips. As the antenna shape becomes more arbitrary and complex and as the number of supporting structures grows, a designer may want to use a method that directly optimizes across all of their parameters simulataneously. In tidy3d, we can do this via gradient-based optimizations powered by the adjoint method and made accessible through automatic differentiation (autograd). In this notebook, we first demonstrate the simplest patch antenna optimization where we find the optimal width/height of a patch based on a desired radiation frequency. As an extension, we show how to optimize an antenna with broader bandwidth by introducing passive radiating strips around the central patch. Here, the size of the optimization problem is increased as we allow the optimizer to simultaneously tune the dimensions of both the central and surrounding structures. We show these two optimization geometries below. In both cases, we are optimizing the patch shape on top of a substrate and ground plane. The antennas are excited by an offset feed line and radiate above the patches into free space. In the middle, we show the simple patch geometry where the optimization parameters are just the patch width and height. On the right, we show the higher dimensional optimization where the geometric parameters and relative positions for multiple patches can be optimized simultaneously.\n", - "\n", - "
\n", - " \n", - " \n", - " \n", - "
" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2.8.3\n" - ] - } - ], - "source": [ - "# Tidy3d import and set logging level\n", - "import tidy3d as td\n", - "td.config.logging_level = \"ERROR\"\n", - "\n", - "print(td.__version__)\n", - "\n", - "# External modules needed for this notebook\n", - "import numpy as np\n", - "import autograd.numpy as anp\n", - "from autograd import value_and_grad\n", - "import optax\n", - "\n", - "# Tidy3d plugin import\n", - "import tidy3d.plugins.smatrix as smatrix\n", - "from tidy3d.web import run\n", - "\n", - "# Libraries and configuration for printing and display\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib.patches as patches\n", - "from rich.console import Console\n", - "from rich.text import Text\n", - "console = Console()\n", - "\n", - "print_decimal_places = 2\n", - "num_optimization_prints = 10" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Configuration and Parameters\n", - "\n", - "In this first section, we set up a variety of parameters for the optimization problems, including the frequency bands and resonance targets as well as useful geometric parameters. Similar to other RF examples, we introduce a scaling factor to convert the default unit in Tidy3D of micrometers to millimeters (mm), which is more commonly used in antenna simulations." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "#\n", - "# Length scales and geometric parameters for optimization\n", - "#\n", - "mm = 1e3 # mm scaling\n", - "\n", - "# Feedline parameters\n", - "feed_x = 2.46 * mm # width of feed\n", - "feed_y = 20 * mm # length of feed\n", - "feed_offset = 2.09 * mm # feed offset from center of patch\n", - "\n", - "# Substrate geometric parameters - broken into substrate sizes for the single patch optimization that comes\n", - "# first and the multi-patch optimization that comes second where we need a larger substrate to\n", - "# support the larger antenna geometry\n", - "single_patch_sub_width = 23.34 * mm\n", - "single_patch_sub_height_extension = 25 * mm\n", - "\n", - "sub_x_single_patch = [-0.5 * single_patch_sub_width, 0.5 * single_patch_sub_width]\n", - "sub_y_single_patch = [-feed_y, single_patch_sub_height_extension]\n", - "sub_z = 0.794 * mm\n", - "\n", - "multi_patch_sub_width = 3 * 23.34 * mm\n", - "multi_patch_sub_height_extension = 1.75 * 25 * mm\n", - "\n", - "sub_x_multi_patch = [-0.5 * multi_patch_sub_width, 0.5 * multi_patch_sub_width]\n", - "sub_y_multi_patch = [-feed_y, multi_patch_sub_height_extension]\n", - "\n", - "# Frequency range\n", - "freq_start = 7e9\n", - "freq_stop = 11e9\n", - "freq_bounds = [freq_start, freq_stop]\n", - "opt_sim_freqs = [8e9, 10e9]\n", - "\n", - "freq0 = (freq_start + freq_stop) / 2 # Central frequency\n", - "wavelength0 = td.C_0 / freq0 # Wavelength of centeral frequency in vacuum\n", - "\n", - "freqs = np.linspace(freq_start, freq_stop, 200)\n", - "\n", - "# Frequencies for computing S-parameters of antennas\n", - "freqs_s_params = freqs\n", - "\n", - "# Frequencies for optimizing different\n", - "opt_freqs_single_patch = [8e9]\n", - "num_opt_freqs_multi_patch = 3\n", - "opt_freqs_multi_patch = np.linspace(8e9, 9.25e9, num_opt_freqs_multi_patch)\n", - "\n", - "#\n", - "# Materials for optimization\n", - "#\n", - "air = td.Medium() # set up the antennas so they radiate into air\n", - "eps_r = 2.2 # substrate permittivity for antennas\n", - "sub_medium = td.Medium(permittivity=eps_r)\n", - "PEC = td.PEC2D # Thickness-free PEC medium for antenna patches, feed lines, and the ground plane" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Create Simulation Objects\n", - "\n", - "To prepare for the optimization, we need to make a base simulation that we can add the antenna geometry and excitation source to. This base simulation includes the ground plane and substrate, the two structures below the patch antenna. In this simulation, we also set up a mesh override region to cover the region of the simulation with PEC. We use a very fine mesh here to improve accuracy of both the simulation and PEC gradients. As in other RF examples, the source will be added later via a `LumpedPort`." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "def create_base_sim(sub_x_bounds, sub_y_bounds):\n", - " \"\"\"\n", - " Creates the base simulation for evaluating and optimizing patch antennas. The base simulation includes the\n", - " substrate geometry, and ground plane. It also overrides the vertical\n", - " slice of the simulation with a fine mesh override to ensure accurate simulation and gradients near PEC boundaries.\n", - " \"\"\"\n", - " substrate_box = td.Box.from_bounds(\n", - " [sub_x_bounds[0], sub_y_bounds[0], -sub_z / 2.0],\n", - " [sub_x_bounds[1], sub_y_bounds[1], sub_z / 2.0],\n", - " )\n", - " # Define substrate structure\n", - " substrate = td.Structure(\n", - " geometry=substrate_box,\n", - " medium=sub_medium,\n", - " )\n", - "\n", - " # Define ground plane structure and assign the material by PEC\n", - " ground_plane = td.Structure(\n", - " geometry=substrate_box.updated_copy(\n", - " center=list(substrate_box.center[0:2]) + [-sub_z / 2.0],\n", - " size=list(substrate_box.size[0:2]) + [0],\n", - " ),\n", - " medium=PEC,\n", - " )\n", - "\n", - " # List of structures for the simulation.\n", - " # Arrange structures in the following order: dielectric first, followed by PEC.\n", - " # This ensures that PEC override dielectric at the interfaces.\n", - " # Reversing the order may lead to inaccurate solutions.\n", - " structures_list = [substrate, ground_plane]\n", - "\n", - " # PML wavelength at 10 GHz\n", - " wl_pml = wavelength0\n", - "\n", - " # Quarter wavelength (at 10 GHz) padding on each side\n", - " sim_x_size = sub_x_bounds[1] - sub_x_bounds[0] + wl_pml / 2.0\n", - " sim_y_size = sub_y_bounds[1] - sub_y_bounds[0] + wl_pml / 2.0\n", - " sim_y_center = np.mean(sub_y_bounds)\n", - "\n", - " sim_z_max = sub_z + 1.5 * wavelength0\n", - " sim_z_min = sub_z - 0.5 * wavelength0\n", - " sim_z_center = 0.5 * (sim_z_max + sim_z_min)\n", - " sim_z_size = sim_z_max - sim_z_min\n", - "\n", - " dl = wavelength0 / 200.0\n", - " mesh_override_vertical_padding = 1 * mm\n", - "\n", - " mesh_overrides = [\n", - " td.MeshOverrideStructure(\n", - " geometry=td.Box(\n", - " center=(0, sim_y_center, 0.0),\n", - " size=(sim_x_size, sim_y_size, sub_z + mesh_override_vertical_padding),\n", - " ),\n", - " dl=[dl, dl, dl],\n", - " )\n", - " ]\n", - "\n", - " # Truncate the computational domain by PMLs\n", - " boundary_spec = td.BoundarySpec(\n", - " x=td.Boundary.pml(),\n", - " y=td.Boundary.pml(),\n", - " z=td.Boundary.pml(),\n", - " )\n", - "\n", - " # Create the simulation object\n", - " base_sim = td.Simulation(\n", - " center=[0.0, sim_y_center, sim_z_center],\n", - " size=[sim_x_size, sim_y_size, sim_z_size],\n", - " grid_spec=td.GridSpec.auto(\n", - " min_steps_per_wvl=20, # The largest cell size is set to 20 cells per smallest wavelength.\n", - " wavelength=td.C_0 / freq_stop, # Smallest wavelength to resolve\n", - " override_structures=mesh_overrides,\n", - " ),\n", - " structures=structures_list,\n", - " sources=[], # Sources will be added by TerminalComponentModeler\n", - " monitors=[],\n", - " run_time=70 * (substrate.geometry.size[1] / td.C_0),\n", - " boundary_spec=boundary_spec,\n", - " plot_length_units=\"mm\", # This option will make plots default to units of millimeters.\n", - " )\n", - "\n", - " return base_sim" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In addition to the base simulation creation, we set up a function to add a feed line and PEC patches to a simulation object. Later, this will allow us to create an antenna with an arbitrary list of patches and insert it into our base simulation." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "def create_simulation_with_patches(base_sim, patch_boxes, monitors):\n", - " \"\"\"\n", - " Creates a new simulation from the base simulation that includes PEC patches for all of the Box\n", - " objects in patch_boxes as well as adds a feed line.\n", - " \"\"\"\n", - " patches = []\n", - " for patch_box in patch_boxes:\n", - " patches.append(td.Structure(geometry=patch_box, medium=PEC))\n", - "\n", - " feed_geometry = td.Box.from_bounds(\n", - " [feed_offset - 0.5 * feed_x, -feed_y, sub_z / 2], [feed_offset + 0.5 * feed_x, 0, sub_z / 2]\n", - " )\n", - "\n", - " feed = td.Structure(geometry=feed_geometry, medium=PEC)\n", - "\n", - " return base_sim.updated_copy(\n", - " structures=list(base_sim.structures) + [feed] + patches,\n", - " monitors=list(base_sim.monitors) + monitors,\n", - " )" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we set up a function to create the `LumpedPort` and `TerminalComponentModeler` that will create the input excitation to the antenna. We can specify an impedance for the port as well as the desired frequencies for the resulting simulation. The `TerminalComponentModeler` contains the simulations to run to evaluate and optimize the antenna." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "def create_modeler(simulation, frequencies, port_impedance=50):\n", - " \"\"\"\n", - " Creates the LumpedPort and TerminalComponentModeler based on a `simulation`, the desired\n", - " simulation `frequencies` and a `port_impedance`.\n", - " \"\"\"\n", - " # Setup a LumpedPort for the TerminalComponentModeler, which is needed\n", - " # to end the port with a matched load as well as providing a source for the simulation.\n", - " port = smatrix.LumpedPort(\n", - " center=[feed_offset, -feed_y, 0],\n", - " size=[feed_x, 0, sub_z],\n", - " voltage_axis=2,\n", - " name=\"lumped_port\",\n", - " impedance=port_impedance,\n", - " )\n", - "\n", - " # We integrate the base simulation with the LumpedPort using the TerminalComponentModeler.\n", - " # This allows us to compute scattering parameters and extract any additional data needed from the simulation.\n", - " modeler = smatrix.TerminalComponentModeler(\n", - " simulation=simulation,\n", - " ports=[port],\n", - " freqs=frequencies,\n", - " verbose=True,\n", - " remove_dc_component=False, # Include DC component for more accuracy at low frequencies\n", - " )\n", - "\n", - " return modeler" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup Plotting and Evaluation Functions\n", - "\n", - "Here, we set up some helper functions to aid in plotting antenna geometry and evaluating antenna characteristics before and after optimizations. First, we set up a function to plot the antenna structure and feed line along with the surrounding mesh. Near PEC edges, especially when computing gradients, we recommend using a fine mesh. In this function, we can also observe the location where the input source is fed into the antenna to confirm it is at the end of the feed line." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "def plot_structures_and_mesh(patch_boxes, sub_x_bounds, sub_y_bounds):\n", - " \"\"\"Plots the antenna structure and surrounding mesh to ensure it looks as expected before running simulations.\"\"\"\n", - " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", - "\n", - " no_additional_monitors = []\n", - " sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n", - " mesh_modeler = create_modeler(sim_with_patches, freqs)\n", - "\n", - " sim_temp = list(mesh_modeler.sim_dict.values())[0]\n", - "\n", - " sim_x_bounds = [\n", - " sim_temp.center[0] - 0.5 * sim_temp.size[0],\n", - " sim_temp.center[0] + 0.5 * sim_temp.size[0],\n", - " ]\n", - "\n", - " sim_y_bounds = [\n", - " sim_temp.center[1] - 0.5 * sim_temp.size[1],\n", - " sim_temp.center[1] + 0.5 * sim_temp.size[1],\n", - " ]\n", - "\n", - " fig, ax = plt.subplots()\n", - "\n", - " # Examine the structure and mesh in the x-y plane\n", - " sim_temp.plot(\n", - " z=sub_z / 2,\n", - " ax=ax,\n", - " hlim=sim_x_bounds,\n", - " vlim=sim_y_bounds,\n", - " monitor_alpha=0.2,\n", - " )\n", - " sim_temp.plot_grid(z=sub_z / 2, ax=ax, hlim=sim_x_bounds, vlim=sim_y_bounds)\n", - "\n", - " # Show the plots\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Second, we set up a function that can calculate the S11 spectrum and antenna directivity. The S11 corresponds to the reflection spectrum back down the feed line, which tells us how much of the input source is leaving the antenna instead of bouncing back down the feed. This is plotted in dB and thus at resonance, we will see a large, negative value corresponding to very low reflection. Before and after an optimization, this is one way to evaluate how well the optimization tuned the geometry for the correct frequencies. In the directivity plot, we can see how much energy is radiating from the antenna and in what direction. For simplicity and to keep plots less crowded, we collect the directivity for the optimization frequencies while we collect the S11 value over a broad spectrum." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "def evaluate_antenna(\n", - " patch_boxes, eval_s_params_freqs, opt_freqs, sub_x_bounds, sub_y_bounds\n", - "):\n", - " \"\"\"\n", - " Evaluate the S11 parameter and directivity for the given antenna geometry.\n", - " The S11 is calculated across a broad spectrum while the directivity is only computed for the opt_freqs.\n", - " \"\"\"\n", - "\n", - " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", - " no_additional_monitors = []\n", - " sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n", - "\n", - " theta = np.linspace(-np.pi, np.pi, 200)\n", - " phi = np.linspace(0, np.pi, 100) # phi=0 slice is used later for directivity plots\n", - "\n", - " directivity_center_x = np.mean(sub_x_bounds)\n", - " directivity_center_y = np.mean(sub_y_bounds)\n", - " directivity_size_x = 5 * mm + sub_x_bounds[1] - sub_x_bounds[0] # Ensure mm is defined\n", - " directivity_size_y = 5 * mm + sub_y_bounds[1] - sub_y_bounds[0] # Ensure mm is defined\n", - "\n", - " monitor_directivity = td.DirectivityMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0],\n", - " size=(\n", - " directivity_size_x,\n", - " directivity_size_y,\n", - " 4 * mm, # Ensure mm is defined\n", - " ),\n", - " freqs=opt_freqs,\n", - " name=\"radiation\",\n", - " phi=list(phi),\n", - " theta=list(theta),\n", - " far_field_approx=True,\n", - " )\n", - "\n", - " sim_with_directivity = sim_with_patches.updated_copy(\n", - " monitors=list(sim_with_patches.monitors) + [monitor_directivity]\n", - " )\n", - "\n", - " # We only need whatever frequencies are unique in these two lists to have all the data we need for computing\n", - " # S11 and directivity\n", - " eval_freqs = np.unique(list(eval_s_params_freqs) + list(opt_freqs))\n", - "\n", - " # Assuming create_modeler and run are defined elsewhere and work as expected\n", - " modeler = create_modeler(sim_with_directivity, eval_freqs)\n", - " batch_data = {\n", - " task_name: run(\n", - " simulation=simulation, verbose=False, local_gradient=True, task_name=\"PatchAntennaEval\"\n", - " )\n", - " for task_name, simulation in modeler.sim_dict.items()\n", - " }\n", - " sim_data = batch_data[\"smatrix_lumped_port\"] # This should contain the 'radiation' monitor data\n", - "\n", - " s_matrix = modeler._construct_smatrix()\n", - "\n", - " return s_matrix, sim_data, theta" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given the optimization results, we can plot the comparison of two antenna simulations using the `plot_antenna_comparison` function below. We can easily compare the initial and final optimization states to see how well the resulting antenna is performing in our desired metrics." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "def plot_antenna_comparison(\n", - " s_matrix_list,\n", - " sim_data_list,\n", - " opt_freqs,\n", - " theta,\n", - " sim_names=None,\n", - " single_color_directivity_plots=False,\n", - " savefig_fname=None\n", - "):\n", - " \"\"\"\n", - " Plots a comparison of two sets of simulation data.\n", - "\n", - " Args:\n", - " s_matrix_list: List of S-matrix objects [s_matrix_sim1, s_matrix_sim2].\n", - " sim_data_list: List of sim_data objects [sim_data_sim1, sim_data_sim2],\n", - " where each sim_data contains a \"radiation\" DirectivityMonitor output.\n", - " opt_freqs: List of optimization frequencies to plot for directivity.\n", - " theta: Numpy array of theta angles for polar plots.\n", - " sim_names: Optional list of names for simulations for clearer legends.\n", - " single_color_directivity_plots: Whether or not to use a single color for all the frequencies\n", - " in the directivity plot or have each frequency a different color\n", - " savefig_fname: A filename to save the resulting figure\n", - " \"\"\"\n", - "\n", - " num_simulations = len(s_matrix_list)\n", - " if num_simulations != 2 or len(sim_data_list) != 2:\n", - " print(\"Warning: This function is designed to compare exactly two simulations.\")\n", - "\n", - " alphas = [0.5, 1.0] # Alpha for sim1, sim2\n", - " if sim_names is None or len(sim_names) != num_simulations:\n", - " sim_names = [f\"Sim {i+1}\" for i in range(num_simulations)]\n", - "\n", - " grid_spec_cols = 2 # S11 and Directivity side-by-side\n", - " fig_width = 13.5 # Adjusted for two plots, one with a potentially rich legend\n", - " fig_height = 6.5 # Slightly more height for polar plot legend\n", - "\n", - " num_rows = 1 # Always a single row\n", - "\n", - " fig = plt.figure(figsize=(fig_width, fig_height), constrained_layout=True)\n", - " gs = fig.add_gridspec(num_rows, grid_spec_cols)\n", - " axs_list = []\n", - "\n", - " # --- Plot S11 Parameters (Overlayed) ---\n", - " ax_s11 = fig.add_subplot(gs[0, 0])\n", - " axs_list.append(ax_s11)\n", - " ax_s11.set_title(\"$S_{11}$ Parameters\")\n", - " ax_s11.set_xlabel(\"Frequency (GHz)\")\n", - " ax_s11.set_ylabel(\"$|S_{11}|$ (dB)\")\n", - "\n", - " for sim_idx in range(num_simulations):\n", - " s_matrix = s_matrix_list[sim_idx]\n", - " current_alpha = alphas[sim_idx]\n", - " sim_label_name = sim_names[sim_idx]\n", - "\n", - " s11_freqs_ghz = s_matrix.f / 1e9\n", - " s11_data_selection = s_matrix.isel(port_out=0, port_in=0)\n", - "\n", - " s11_values_flat = s11_data_selection.values.flatten()\n", - " s11_values_db = 20 * np.log10(np.abs(s11_values_flat))\n", - " ax_s11.plot(\n", - " s11_freqs_ghz,\n", - " s11_values_db,\n", - " alpha=current_alpha,\n", - " label=rf\"$|S_{{11}}|$ ({sim_label_name})\",\n", - " ) # Label for legend\n", - " \n", - " \n", - " for opt_freq in opt_freqs:\n", - " ax_s11.axvline(x=opt_freq / 1e9, color='k', linestyle='--')\n", - "\n", - " ax_s11.set_ylim(-25, 2) # Common Y-axis limit\n", - " ax_s11.grid(True)\n", - " if num_simulations > 0:\n", - " ax_s11.legend()\n", - " # --- End of S11 Plot ---\n", - "\n", - " # --- Plot Directivity Patterns (Single Combined Plot) ---\n", - " ax_polar = fig.add_subplot(gs[0, 1], projection=\"polar\")\n", - " axs_list.append(ax_polar)\n", - " ax_polar.set_title(\"Directivity Patterns\")\n", - "\n", - " ax_polar.set_theta_direction(-1)\n", - " ax_polar.set_theta_offset(np.pi / 2.0)\n", - " ax_polar.grid(True)\n", - " ax_polar.set_rlabel_position(22.5)\n", - "\n", - " overall_max_directivity = -np.inf\n", - " color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", - "\n", - " for freq_idx, eval_freq in enumerate(opt_freqs):\n", - " base_color = color_cycle[freq_idx % len(color_cycle)]\n", - " if single_color_directivity_plots:\n", - " base_color = color_cycle[0]\n", - " freq_label_for_legend = f\"{eval_freq/1e9:.2f} GHz\"\n", - "\n", - " # Plot data for each simulation for the current frequency\n", - " for sim_idx in range(num_simulations):\n", - " sim_data = sim_data_list[sim_idx]\n", - " current_alpha = alphas[sim_idx]\n", - "\n", - " directivity_data_array = sim_data[\"radiation\"].directivity.sel(\n", - " f=eval_freq, phi=0, method=\"nearest\"\n", - " )\n", - " D_values_for_plot = directivity_data_array.squeeze().values\n", - "\n", - " current_max_val = np.max(D_values_for_plot)\n", - " if current_max_val > overall_max_directivity:\n", - " overall_max_directivity = current_max_val\n", - "\n", - " # Label only the second simulation's line (alpha=1.0) for the legend entry of this frequency\n", - " label_to_use = (\n", - " f\"{freq_label_for_legend} ({sim_names[sim_idx]})\" # if sim_idx == 1 else None\n", - " )\n", - " ax_polar.plot(\n", - " theta, D_values_for_plot, color=base_color, alpha=current_alpha, label=label_to_use\n", - " )\n", - "\n", - " if overall_max_directivity == -np.inf: # No valid data points found\n", - " overall_max_directivity = 1.0\n", - "\n", - " ax_polar.set_rlim(0, overall_max_directivity * 1.1 if overall_max_directivity > 0 else 1.0)\n", - " ax_polar.legend(title=\"Frequency (GHz)\", loc=\"best\", fontsize=\"small\")\n", - " # --- End of Directivity Plot ---\n", - "\n", - " fig.suptitle(\"Antenna Simulation Comparison\", fontsize=16)\n", - "\n", - " if savefig_fname:\n", - " plt.savefig(savefig_fname)\n", - " \n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We set up a function to plot the figure of merit trajectory of the optimziation and compare the initial and final antenna geometries. This is an indication of how well the optimization worked as well as a demonstration of the overall change that occurred over the course of the optimization. For the single patch antenna, these changes are small and show a tuning of the width and height, but we will see in the higher-dimensional optimization that the central and surrounding patches change significantly while optimizing for a broad band figure of merit." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "def plot_optimization_results(figure_of_merit, feed_rect, init_rectangles, final_rectangles, savefig_fname=None):\n", - " \"\"\"\n", - " Plots a main rectangle and two lists of other rectangles with specified styles.\n", - "\n", - " Args:\n", - " main_rect (Rect): The primary rectangle to be plotted in gold.\n", - " It should have 'center' (tuple) and 'size' (tuple) attributes.\n", - " list1_rects (list[Rect]): A list of rectangles to be plotted in gray\n", - " with 0.25 transparency and a dotted black border.\n", - " list2_rects (list[Rect]): A list of rectangles to be plotted in gold.\n", - " savefig_fname: A filename to save the resulting figure\n", - "\n", - " \"\"\"\n", - " fig, ax = plt.subplots(1, 2)\n", - " ax[1].set_aspect(\"equal\", adjustable=\"box\") # Ensure squares look like squares\n", - "\n", - " all_rects_params = [] # To store (x_bl, y_bl, width, height) for limit calculation\n", - "\n", - " # Helper function to add a rectangle and collect its parameters\n", - " def add_rectangle_to_plot(\n", - " rect_obj, facecolor, alpha=1.0, edgecolor=\"black\", linestyle=\"solid\", legend=None\n", - " ):\n", - " \"\"\"\n", - " Adds a single rectangle to the plot and collects its parameters.\n", - "\n", - " Args:\n", - " rect_obj (Rect): The rectangle object with 'center' and 'size'.\n", - " facecolor (str): The face color of the rectangle.\n", - " alpha (float): The transparency of the rectangle.\n", - " edgecolor (str): The edge color of the rectangle.\n", - " linestyle (str): The line style of the rectangle's border.\n", - " \"\"\"\n", - " center_x, center_y, _ = rect_obj.center\n", - " width, height, _ = rect_obj.size\n", - "\n", - " center_x /= mm\n", - " center_y /= mm\n", - " width /= mm\n", - " height /= mm\n", - "\n", - " # Calculate bottom-left corner coordinates\n", - " bottom_left_x = center_x - width / 2\n", - " bottom_left_y = center_y - height / 2\n", - "\n", - " all_rects_params.append((bottom_left_x, bottom_left_y, width, height))\n", - "\n", - " rect_patch = patches.Rectangle(\n", - " (bottom_left_x, bottom_left_y),\n", - " width,\n", - " height,\n", - " facecolor=facecolor,\n", - " alpha=alpha,\n", - " edgecolor=edgecolor,\n", - " linestyle=linestyle,\n", - " linewidth=1, # Default linewidth for borders\n", - " label=legend,\n", - " )\n", - " ax[1].add_patch(rect_patch)\n", - "\n", - " add_rectangle_to_plot(\n", - " feed_rect, facecolor=\"gold\", edgecolor=\"black\"\n", - " ) # Added black edge for consistency\n", - "\n", - " legends_init_rect = [\n", - " \"initial\" if (idx == 0) else None for idx in range(0, len(init_rectangles))\n", - " ]\n", - " legends_final_rect = [\n", - " \"final\" if (idx == 0) else None for idx in range(0, len(final_rectangles))\n", - " ]\n", - "\n", - " # Plot rectangles from the second list (gold)\n", - " for idx, rect_obj in enumerate(final_rectangles):\n", - " add_rectangle_to_plot(\n", - " rect_obj, facecolor=\"gold\", edgecolor=\"black\", legend=legends_final_rect[idx]\n", - " ) # Added black edge for consistency\n", - "\n", - " # Plot rectangles from the first list (gray, 0.25 alpha, dotted black border)\n", - " for idx, rect_obj in enumerate(init_rectangles):\n", - " add_rectangle_to_plot(\n", - " rect_obj,\n", - " facecolor=\"gray\",\n", - " alpha=0.25,\n", - " edgecolor=\"black\",\n", - " linestyle=\"dotted\",\n", - " legend=legends_init_rect[idx],\n", - " )\n", - "\n", - " # Calculate plot limits\n", - " if all_rects_params:\n", - " min_x = min(p[0] for p in all_rects_params)\n", - " min_y = min(p[1] for p in all_rects_params)\n", - " # Max x is bottom_left_x + width\n", - " # Max y is bottom_left_y + height\n", - " max_x = max(p[0] + p[2] for p in all_rects_params)\n", - " max_y = max(p[1] + p[3] for p in all_rects_params)\n", - "\n", - " # Add some padding to the limits\n", - " padding_x = (max_x - min_x) * 0.1 if (max_x - min_x) > 0 else 1\n", - " padding_y = (max_y - min_y) * 0.1 if (max_y - min_y) > 0 else 1\n", - "\n", - " ax[1].set_xlim(min_x - padding_x, max_x + padding_x)\n", - " ax[1].set_ylim(min_y - padding_y, max_y + padding_y)\n", - " else:\n", - " # Default limits if no rectangles are plotted\n", - " ax[1].set_xlim(-5, 5)\n", - " ax[1].set_ylim(-5, 5)\n", - "\n", - " ax[1].set_title(\"Antenna Geometry\")\n", - " ax[1].set_xlabel(\"X-coordinate (mm)\")\n", - " ax[1].set_ylabel(\"Y-coordinate (mm)\")\n", - " ax[1].grid(True, linestyle=\"--\", alpha=0.7)\n", - "\n", - " ax[1].legend(loc=\"lower left\", bbox_to_anchor=(1.0, 0.75))\n", - "\n", - " ax[0].plot(figure_of_merit, color=\"green\", linewidth=2)\n", - " ax[0].set_title(\"Optimization\")\n", - " ax[0].set_xlabel(\"Iteration\")\n", - " ax[0].set_ylabel(\"Figure of Merit\")\n", - "\n", - " if savefig_fname:\n", - " plt.savefig(savefig_fname)\n", - " \n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Demonstrating Gradient Based Optimization of a Single Patch Antenna\n", - "\n", - "In our first optimization, we use the adjoint gradients to tune the width and height of a single patch antenna element. This is a good way to validate the gradients and optimization figures of merit are working as expected before moving onto a more complex optimization. As a first step, we create our objective function that we can use for both of our optimizations. This function takes in parameters defining the antenna geometry as well as a function to convert those parameters to `Box` geometries that we can import into the simulation. Further, it allows us to specify the optimization monitors we want to use since we will modify the placement of these monitors based on the overall patch antenna size. After adding the source via the `TerminalComponentModeler`, we run a simulation and measure the flux through two monitors, as depicted below. The first measures the flux leaving the end of the feed line and thus is a measure of how much energy is reflected and the second measures the flux radiating above the antenna. This radiation for now attempts to direct radiated power above the antenna and thus serves as a proxy for optimizing directivity in the normal direction from the antenna. After performing a weighted optimization over frequency, the two figures are combined together into one by taking the average radiated flux and subtracting the average reflected flux.\n", - "\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "def objective_fn(\n", - " patch_params, patch_params_to_boxes, sub_x_bounds, sub_y_bounds, optimization_monitors\n", - "):\n", - " \"\"\"\n", - " Objective function for an antenna optimization that converts `patch_params` into tidy3d Box\n", - " geometries via the supplied `patch_params_to_boxes` function. The `sub_x_bounds`, `sub_y_bounds`,\n", - " and `optimization_monitors` allow us to customize both the geometry and objective function\n", - " given the specific antenna we are optimizing for.\n", - " \"\"\"\n", - " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", - "\n", - " # add antenna patches to simulation\n", - " sim_with_patches = create_simulation_with_patches(\n", - " base_sim, patch_params_to_boxes(patch_params), optimization_monitors\n", - " )\n", - "\n", - " # create the `TerminalComponentModeler` to add the source and get the simulation we can run\n", - " # to evaluate the antenna performance\n", - " modeler = create_modeler(sim_with_patches, opt_sim_freqs)\n", - "\n", - " # run the simulations for the antenna\n", - " batch_data = {\n", - " task_name: run(\n", - " simulation=simulation,\n", - " verbose=False,\n", - " local_gradient=True,\n", - " task_name=\"PatchAntennaOptimization\",\n", - " )\n", - " for task_name, simulation in modeler.sim_dict.items()\n", - " }\n", - "\n", - " # based on the antenna simulation, extract the monitor data we need to compute the\n", - " # figure of merit\n", - " radiation_fields = batch_data[\"smatrix_lumped_port\"][\"radiation_monitor\"]\n", - " feed_fields = batch_data[\"smatrix_lumped_port\"][\"feed_reflection_monitor\"]\n", - "\n", - " #\n", - " # Now we compute two figures of merit: (1) the reflected flux back down the feed line for the\n", - " # optimization frequencies and (2) the radiated flux through a monitor above the patch. These\n", - " # two figures of merit are each weighted by frequency based on their current performance and then\n", - " # combined together with a difference where we want to increase the radiated flux and decrease\n", - " # the reflected flux.\n", - " #\n", - " small_flux = 100 # small value of flux for the given geometry and frequency range\n", - " get_feed_flux_by_frequency = np.abs(feed_fields.flux.values)\n", - " # merit function for reflected frequency to use with performance weighting that\n", - " # is high when a given frequency has low reflected flux\n", - " get_feed_merit_by_frequency = 1.0 / (get_feed_flux_by_frequency + small_flux)\n", - "\n", - " get_radiation_flux_by_frequency = np.abs(radiation_fields.flux.values)\n", - " get_radiation_merit_by_frequency = get_radiation_flux_by_frequency\n", - "\n", - " def weights_from_merit(merit):\n", - " \"\"\"\n", - " Computes performance based weights that sum to a total weight of 1.\n", - " For a given frequency, the weights are inversely tied to the performance\n", - " so that figures of merit that are lagging get favored more than those that\n", - " are leading.\n", - " \"\"\"\n", - " weights = (2.0 / len(merit)) - (merit**2 / np.sum(merit**2))\n", - " clip_weights = np.maximum(weights, 0)\n", - " renorm_weights = clip_weights / np.sum(clip_weights)\n", - "\n", - " return renorm_weights\n", - "\n", - " # compute reflected weights and radiated weights based on merit\n", - " feed_weights = weights_from_merit(get_feed_merit_by_frequency)\n", - " radiation_weights = weights_from_merit(get_radiation_merit_by_frequency)\n", - "\n", - " # compute the reflected and radiated figures of merit\n", - " feed_avg = np.sum(feed_weights * get_feed_flux_by_frequency)\n", - " radiation_avg = np.sum(radiation_weights * get_radiation_flux_by_frequency)\n", - "\n", - " return radiation_avg - feed_avg # combine figures of merit with difference and return" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We then create a helper function to convert the patch width and height parameters to the antenna geometry for a single patch. To check out setup, we plot what the resulting antenna will look like when inserted into a simulation." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "5b93be4491694130b05ee61bf4e9cb7f", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
16:18:05 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:18:05 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
16:18:06 EDT Maximum FlexCredit cost: 0.172 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:18:06 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.172\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f04352b7f71e404a8bbdc39d29d5547c", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
16:18:07 EDT Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:18:07 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "cd41760f72ca4187be801613e9ec7017",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def params_to_boxes_single_patch(patch_wh):\n",
-    "    \"\"\"Convert single patch parameters into patch geometry.\"\"\"\n",
-    "    return [\n",
-    "        td.Box.from_bounds(\n",
-    "            [-0.5 * patch_wh[0], 0.0, sub_z / 2.0], [0.5 * patch_wh[0], patch_wh[1], sub_z / 2.0]\n",
-    "        )\n",
-    "    ]\n",
-    "\n",
-    "# set an initial width and height for the patch\n",
-    "patch_init_width = 12.45 * mm\n",
-    "patch_init_height = 16 * mm\n",
-    "patch_init_wh = anp.array([patch_init_width, patch_init_height])\n",
-    "\n",
-    "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n",
-    "plot_structures_and_mesh(\n",
-    "    params_to_boxes_single_patch(patch_init_wh), sub_x_single_patch, sub_y_single_patch\n",
-    ")\n",
-    "# Helper function for evaluating antenna performance for a single patch\n",
-    "evaluate_single_antenna = lambda patch_wh, eval_s_params_freqs, opt_freqs: (\n",
-    "    evaluate_antenna(\n",
-    "        params_to_boxes_single_patch(patch_wh),\n",
-    "        eval_s_params_freqs,\n",
-    "        opt_freqs,\n",
-    "        sub_x_single_patch,\n",
-    "        sub_y_single_patch,\n",
-    "    )\n",
-    ")\n",
-    "# Compute S11 and directivity for the inital patch geometry\n",
-    "s_matrix_init, sim_data_init, theta = evaluate_single_antenna(\n",
-    "    patch_init_wh, freqs_s_params, opt_freqs_single_patch\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We set up a few parameters for the antenna optimizations to constrain widths and heights of antenna elements to practical ranges given the frequency band we are optimizing within."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "patch_min_width = 8 * mm\n",
-    "patch_min_height = 8 * mm\n",
-    "\n",
-    "patch_max_width = 18 * mm\n",
-    "patch_max_height = 24 * mm"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, we set up the objective function for our single patch optimization and use the `Adam` optimizer from `optax` to modify the patch width and height according to the adjoint gradient."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
Iteration 1\n",
-       "        Gradient (width, height): -904.902875468008, -105.01109630902727\n",
-       "        Params (width, height):   12400.0, 15950.0\n",
-       "        Figure of merit:          932004.54\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 1\u001b[0m\n", - " Gradient (width, height): \u001b[35m-904.902875468008, -105.01109630902727\u001b[0m\n", - " Params (width, height): \u001b[34m12400.0, 15950.0\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m932004.54\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 3\n",
-       "        Gradient (width, height): -1153.058381456665, -219.30193227556845\n",
-       "        Params (width, height):   12301.9267578125, 15851.625\n",
-       "        Figure of merit:          1326802.74\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 3\u001b[0m\n", - " Gradient (width, height): \u001b[35m-1153.058381456665, -219.30193227556845\u001b[0m\n", - " Params (width, height): \u001b[34m12301.9267578125, 15851.625\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1326802.74\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 5\n",
-       "        Gradient (width, height): -1790.4863168610236, -195.8075102331877\n",
-       "        Params (width, height):   12203.2353515625, 15756.9150390625\n",
-       "        Figure of merit:          1598478.92\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 5\u001b[0m\n", - " Gradient (width, height): \u001b[35m-1790.4863168610236, -195.8075102331877\u001b[0m\n", - " Params (width, height): \u001b[34m12203.2353515625, 15756.9150390625\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1598478.92\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 7\n",
-       "        Gradient (width, height): -2089.9169503803423, -58.89391988728954\n",
-       "        Params (width, height):   12102.900390625, 15662.4013671875\n",
-       "        Figure of merit:          1785652.09\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 7\u001b[0m\n", - " Gradient (width, height): \u001b[35m-2089.9169503803423, -58.89391988728954\u001b[0m\n", - " Params (width, height): \u001b[34m12102.900390625, 15662.4013671875\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1785652.09\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 9\n",
-       "        Gradient (width, height): -1830.0245994245734, -270.77633958699266\n",
-       "        Params (width, height):   12008.18359375, 15568.466796875\n",
-       "        Figure of merit:          2523177.21\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 9\u001b[0m\n", - " Gradient (width, height): \u001b[35m-1830.0245994245734, -270.77633958699266\u001b[0m\n", - " Params (width, height): \u001b[34m12008.18359375, 15568.466796875\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2523177.21\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 11\n",
-       "        Gradient (width, height): -3294.634269909397, -97.5352862422917\n",
-       "        Params (width, height):   11908.98828125, 15472.4560546875\n",
-       "        Figure of merit:          3168865.22\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 11\u001b[0m\n", - " Gradient (width, height): \u001b[35m-3294.634269909397, -97.5352862422917\u001b[0m\n", - " Params (width, height): \u001b[34m11908.98828125, 15472.4560546875\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3168865.22\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 13\n",
-       "        Gradient (width, height): -3553.3987097040967, -299.3641957888483\n",
-       "        Params (width, height):   11806.00390625, 15375.048828125\n",
-       "        Figure of merit:          3565352.98\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 13\u001b[0m\n", - " Gradient (width, height): \u001b[35m-3553.3987097040967, -299.3641957888483\u001b[0m\n", - " Params (width, height): \u001b[34m11806.00390625, 15375.048828125\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3565352.98\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 15\n",
-       "        Gradient (width, height): -851.0404132602614, -95.15302156597363\n",
-       "        Params (width, height):   11703.5166015625, 15283.623046875\n",
-       "        Figure of merit:          4272270.33\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 15\u001b[0m\n", - " Gradient (width, height): \u001b[35m-851.0404132602614, -95.15302156597363\u001b[0m\n", - " Params (width, height): \u001b[34m11703.5166015625, 15283.623046875\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4272270.33\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 17\n",
-       "        Gradient (width, height): 207.1802794145596, -22.63233183134691\n",
-       "        Params (width, height):   11614.8603515625, 15200.984375\n",
-       "        Figure of merit:          4496032.65\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 17\u001b[0m\n", - " Gradient (width, height): \u001b[35m207.1802794145596, -22.63233183134691\u001b[0m\n", - " Params (width, height): \u001b[34m11614.8603515625, 15200.984375\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4496032.65\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 19\n",
-       "        Gradient (width, height): 1483.6376330496842, 11.387023783200448\n",
-       "        Params (width, height):   11552.9384765625, 15132.0068359375\n",
-       "        Figure of merit:          4409775.06\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 19\u001b[0m\n", - " Gradient (width, height): \u001b[35m1483.6376330496842, 11.387023783200448\u001b[0m\n", - " Params (width, height): \u001b[34m11552.9384765625, 15132.0068359375\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4409775.06\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# location of field monitor for computing the radiated flux \n", - "compute_radiation_z = wavelength0\n", - "\n", - "# set up the single patch radiation monitor sizes\n", - "obj_fn_monitor_dim_single_patch = 1.25 * np.mean(patch_init_wh)\n", - "obj_fn_monitor_center_y_single_patch = 0.5 * patch_init_wh[1]\n", - "\n", - "# set up the feed monitor to use and share between both optimizations\n", - "feed_monitor_center = (feed_offset, -feed_y - 2 * mm, 0.0)\n", - "feed_monitor_size = (10 * mm, 0, 10 * mm)\n", - "\n", - "single_patch_optimization_monitors = [\n", - " td.FieldMonitor(\n", - " center=(0.0, obj_fn_monitor_center_y_single_patch, compute_radiation_z),\n", - " size=(obj_fn_monitor_dim_single_patch, obj_fn_monitor_dim_single_patch, 0),\n", - " freqs=opt_freqs_single_patch,\n", - " name=\"radiation_monitor\",\n", - " ),\n", - " td.FieldMonitor(\n", - " center=feed_monitor_center,\n", - " size=feed_monitor_size,\n", - " freqs=opt_freqs_single_patch,\n", - " name=\"feed_reflection_monitor\",\n", - " ),\n", - "]\n", - "\n", - "# set up the objective function for the single patch that is a function\n", - "# of the patch width and height\n", - "obj_fn = lambda patch_wh: objective_fn(\n", - " patch_wh,\n", - " params_to_boxes_single_patch,\n", - " sub_x_single_patch,\n", - " sub_y_single_patch,\n", - " single_patch_optimization_monitors,\n", - ")\n", - "\n", - "# get function to compute the gradient of the objective\n", - "obj_val_and_grad = value_and_grad(obj_fn)\n", - "\n", - "patch_wh = patch_init_wh.copy()\n", - "\n", - "# set up optimization parameters and optimizer\n", - "learning_rate = 50\n", - "optimizer = optax.adam(learning_rate=learning_rate)\n", - "opt_state = optimizer.init(patch_wh)\n", - "\n", - "num_steps = 20\n", - "print_iteration_frequency = np.maximum(num_steps // num_optimization_prints, 1)\n", - "\n", - "# set bounds on patch width and height in the optimization\n", - "clip_min_wh = anp.array([patch_min_width, patch_min_height])\n", - "clip_max_wh = anp.array([patch_max_width, patch_max_height])\n", - "\n", - "figure_of_merit_single_patch = np.zeros(num_steps + 1)\n", - "\n", - "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", - "# at each step and clipping the design on the bounds\n", - "for step_idx in range(0, num_steps):\n", - " f, g = obj_val_and_grad(patch_wh)\n", - "\n", - " figure_of_merit_single_patch[step_idx] = f\n", - "\n", - " updates, opt_state = optimizer.update(-g, opt_state, patch_wh)\n", - "\n", - " patch_wh = optax.apply_updates(patch_wh, updates)\n", - " patch_wh = anp.array(patch_wh)\n", - " patch_wh = anp.clip(patch_wh, a_min=clip_min_wh, a_max=clip_max_wh)\n", - "\n", - " if (step_idx % print_iteration_frequency) == 0:\n", - " output_text = Text.assemble(\n", - " (f\"Iteration {step_idx + 1}\", \"bold cyan\"), \"\\n\",\n", - " (f\"\\tGradient (width, height): \", \"\"), (f\"{g[0]}, {g[1]}\", \"magenta\"), \"\\n\",\n", - " (f\"\\tParams (width, height): \", \"\"), (f\"{patch_wh[0]}, {patch_wh[1]}\", \"blue\"), \"\\n\",\n", - " (f\"\\tFigure of merit: \", \"bold\"), (f\"{f:.{print_decimal_places}f}\", \"bold green\")\n", - " )\n", - " console.print(output_text)\n", - "\n", - "figure_of_merit_single_patch[num_steps] = obj_fn(patch_wh)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We now plot the results of the optimization, starting with the evolution of the figure of merit by iteration and the resulting patch geometry. Both the width and height of the patch are adjusted via the gradient to shift the resonance near the target frequency. We can see this in the next set of plots where we evaluate the S11 reflection spectrum and the antenna directivity at the target frequency for both the initial and final geometry. On the S11 plot, the black dashed line shows the location of the optimization frequency which we can see is close to the resulting resonant dip in the reflection spectrum." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmUAAAHHCAYAAAD+sy9fAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAAl9tJREFUeJztnQeYE9XXxk+205fee5depUhTpKgIqHyCBbAgKkpRQbHRRFQUFUTRvwVEBUQFFRVFei/Se++912Vbvue968Qkm+wmS7IzN/v+nmc2MzezkzMpd94595xzbXa73S6EEEIIIcRUwsx9eUIIIYQQAijKCCGEEEIsAEUZIYQQQogFoCgjhBBCCLEAFGWEEEIIIRaAoowQQgghxAJQlBFCCCGEWACKMkIIIYQQC0BRRgghhBBiASjKSFCZOHGi2Gw22b9/f8COOXToUHXMzMas1yWEEJI1oCjLgmzZskUeeughKV68uERHR0uxYsXkwQcfVO0Z5c0335SZM2eK7ly9elWJrwULFphtCiE+8/HHH6sbhptvvvmGj/X777+r30Aosm/fPnnmmWekUqVKkj17drXcdNNN0qdPH9m4caOECt9995188MEHZptBMoCNc19mLX766Sfp1q2b5MuXTx577DEpW7as8mJ98cUXcubMGZk6dap07tzZ7+PmzJlT7rvvPuUZcyYpKUkSEhKU+AuUlykxMVEtMTExEmhOnz4tBQsWlCFDhqS6MAXzdQm5EZo2bSpHjx5Vv+Vdu3ZJhQoVMnwsiJbx48dLqF0aZs2aJffff79ERESom9BatWpJWFiYbN++XfWLBw4cUKKtdOnSojt33XWXbN68OaAjFCRziMik1yEWYM+ePfLwww9LuXLlZNGiRUp8GPTr10+aNWumnscdI/YJBOHh4WoJJOhUsWQ2Zr0uIWkBIbFs2TIlLHr37i3ffvutuqkgrn1f165dleCaO3euFC1a1OX5t99+W3kbIdKyGnFxcRIVFZUlz92SwFNGsga9e/fGra990aJFHp9fuHCheh77gSFDhqjtbdu22bt06WLPlSuXPV++fPa+ffvar1275vg/7OO+9OjRQz331Vdfqe19+/Y59i9durT9zjvvtM+fP99er149e0xMjL169epqG/z4449qOzo62l63bl372rVrXew07DLAa3myAQv2BdevX7e/9tpr6ni5c+e2Z8+e3X7LLbfY582b5zgObEzrGO6vCxISEuzDhw+3lytXzh4VFaXObfDgwfa4uDiX/YxzXrx4sb1Bgwbq3MqWLWufNGmS358jIc6MGDHCnjdvXvUdf+qpp+wVK1ZMtY/x3R49erT9008/dXxf69evb1+1alW6vyWDpKQk+/vvv2+/6aab1He4UKFC9ieeeMJ+9uzZDH3fjf5hyZIl9gEDBtgLFCigfpudOnWynzx50mXfmTNn2u+44w570aJFle04B/z2EhMT032PYCNeZ8WKFX69t+j77r33XvX+4hzQX/3888+p9tuzZ4/9vvvuU/tly5bNfvPNN9tnzZrlsg/6N9gwbdo0+9ChQ+3FihWz58yZUx3//Pnzqs/o16+fvWDBgvYcOXLYe/bsmaofAZMnT1b9GPpNvN79999vP3jwoOP5Fi1apPr88Hk42zBlyhT7K6+8omyw2Wz2f/75R7WPGTMm1estXbpUPffdd9/59d6RjEFRloXAD7BMmTJp7oPnS5Qo4SJCatSoYe/QoYP9o48+sj/00EOq7eGHH3bpJNBhNWvWTK1jWbZsWZqirHLlyqpzReeETr548eKqg/rmm2/spUqVsr/11ltqyZMnj71ChQrqYmDgLo7wWsbrGsuDDz6o9hk/frza59SpU+r1nnvuOfsnn3xif+edd5QNkZGR9nXr1ql9Ll++rJ7D/3Xu3NlxrA0bNnh8XeeLGDpkvFb37t3VNi4qzhjnXLhwYfvLL7+s3kt0rOgQN2/enIFPk5AUqlSpYn/sscfUOm648P1zFlrOoqxOnTrq9/T222+r3wBEEH7v8fHxjt/S7bffrvZ1/j0ZPP744/aIiAh7r1697BMmTLC/+OKLSkBAeBnH8Of7bvQPsOvWW2+1jxs3zv7888/bw8PD7f/3f//ncg74TaENwhK/U9wo4n9feOEFn/o+nLc/wE70PxCgeL9wDs2bN1fn8NNPPzn2O378uDpP3LRC6EDY1KpVyx4WFuaynyGIateubW/cuLF97Nix6gYXx+vatav9gQcesLdv3171I+hfse+wYcNcbHrjjTfU/hBiH3/8sXoenyH67XPnzql9/vrrL/UaaDc+vxkzZrjYgHPCPrB11KhR9itXrtibNm2qRKc7Tz/9tDo37EOCD0VZFgF3YvgxduzYMc397r77brXfxYsXHSIEbe4/UrQbYgWgYza8Y854E2VoM4Qb+PPPP1Ub7jIPHDjgaMddPdoNL5o3ceTMrl27VGeKi4txF41HeBKcQSeGzvTRRx91tEG8OXvHnHF/3fXr16ttXKicwUUC7c5eOOOcnb2U8ARAzOIiREhGWLNmjfpezZkzR20nJycrkQWPiydRlj9/fhevFrw+aP/1118dbX369PH4+4LXC+3ffvutS/vs2bNTtfv6fTf6h9atWyvbDeA1gzBDv2Vw9erVVDbBqw/PmiePksGFCxc83igZfQB+88bi/Bq33XabuiF1PjZsbNKkiYs3sn///ur4eH8MLl26pDyDEEvGDaUhiDAK4Cxgu3XrpoQWBJkzEG6Ghwvs379fvScjR4502W/Tpk1KKDu3w0vp/L8Ghg3wMrq/n0ZfC++gAeyEuPPUt5PgwEHkLMKlS5fUY65cudLcz3j+4sWLjjZkJjnz7LPPOrK0Mgoynho3buzYNrLGbr31VilVqlSq9r179/p03CtXrqhEhbx588qUKVMc8Wx4RNwESE5OlrNnz6qg/fr168vatWszdA7G+T/33HMu7c8//7x6/O2331KdM+L2DBDTV7lyZZ/PjRB3ED9WuHBhadWqldpGMg2C2ZGwgyQbd/AcfhsGxvfRl+/g9OnTJU+ePHL77berhBhjqVevnkr0mT9/foa/70888YRLIhD+D/Yj+N4gW7ZsLv0ZXhv7IWMawfreMPoy2OhOy5YtlV3GggQHgP5h3rx58n//93+O18KCZKi2bduqZIojR444+oGGDRvKLbfc4jguXgvnhED7rVu3urxm9+7dJTIy0qWPg4Pk0UcfddkP7YcOHVL9FEDMIPou2OT8/hcpUkQqVqyY6v1Pix49eri8nwDHRRITvlMGf/75p3oNZOuTzCFLizIEu3fo0EGVhECHkJGSDvgxvfvuuyrFGhmGKDMxcuRIsRqG2DLEmT/iDT94Z8qXL6+CQm8ks8dZeAF09qBkyZIe28+dO+fTcXv16qWCemfMmCH58+d3eW7SpElSs2ZN1fHgOXTCEE4XLlzI0DnggoH3wT3TDZ1kbGysywXF0zkDXCB9PTdCnIFogfiCIEOw/+7du9WCi/mJEydUQLs77t9BQ6D58h2EEMFvpVChQi5CBsvly5fl5MmTab6W8XqeXssXu1CyBzdc6BNy586tXtcQC2n9ho2+DDa68+mnn8qcOXPkm2++cWnH+4i+/bXXXkt1rkYShXG++J1DbLpTtWpVx/MZ7fsgwoxzw/sPm9Afu9u0bdu2VO9/WiDr3h30WbgeopyGAQQarmm4WSaZQ5ZOJYNXBWnRuEO55557MnQMZC3+9ddfSpjVqFFD3WFhsRr4gSPjKL1aPHgeP0J0et4IRGkLbxmZ3tp9Sc//8MMPlXcMHWzt2rVdnkNbz549pVOnTjJw4EB1YcFrjRo1Som4G8HX9+NGzo0Qd+DJOXbsmBJmWNzBBbVNmzYB+w5CIOB34+xJccY5m9vf10pv3/Pnz0uLFi1UvzR8+HB1Y4ibK3i5X3zxRWVben0fSkS4Y3ji3W8wjeO98MILyjPmiYyWHclo3web0Nf88ccfHvf15An0hruXzNmLB48osnlxPfvll1/k6aefZmZmJpKlRVn79u3V4o3r16/LK6+8oi706BSqV6+uUqfh8ga4O/nkk0/Uj924U/J0B2Kl2jX/+9//ZMmSJS6udoPFixerzglp9c7gDs35vHAXiQ6iTJkyjjazK93DdnSg/fv3VzWI3Pnhhx9UmQ8MATjb6l46wJ/zQHo93ge8P8ZdMYCXAt+XUKh3RKwLxBFEkjHk5gy+5/AWT5gwwesF2BvefgMQQn///beqiebvMW8UFHPG0CHOq3nz5o52eAh94c4775TPP/9cVq1apYYa08MoCYRhxtatW6e5L37nO3bsSNVuDKkGqh/A+w+Bhr4YIzNpkdH+uF27dkpc47sFwYqhYZRJIpkH5W86RRSXL1+u7kLhQerSpYv60uIiDH799Vf140VRQvxQIFIef/xxS3rKADxE6EwhutDBOQObn3zySVXhGvs5497pjxs3Tj06C9ocOXIoIWIG8BYgHgJCc/To0R73Me4sne/SV65cqT5fZ3D+wJdzueOOO9Sje+XsMWPGOC4EhASDa9euKYGCGy0UbXZf0HchFAGeDn/Bb9nTbwC/MQyZjhgxItX/IO4pmL9/T7/f+Ph4VVvMFwYNGqR+2xgVwU1Tet47iF3cfGN4E/2LO6dOnXLpByD2nPsSjMJ89tln6pqA2LpAgNEcvA/Dhg1LZS+2nft0fIYZCctAHUYUF//+++9VIXB4yxDyQTKPLO0pS4uDBw/KV199pR4RcwbgiZk9e7Zqx7RCCFhFvADcvV9//bXqsAYMGKA6RQwtWA3EIiCuCp4k/NjcK/ojoBNeQdyROYO70bvvvlsJUnQ8GAp84IEH1NCvAYJ9cRcNQYL3C8cNxJQvvtC3b1/VSaLjdR/GQYeCBRcvXMQQkwKxhHOCFwEdpnOsCUQr2qZNm6buRjHzATykWNzB+SNgFp2vMbyCzhnvMYZJjeBrQgINxBZEF36XnmjUqJHD44Hgfn/Ab9n4XWHoDkIAhVfx/cYNHYb8169fr4ZG4UnCTSr6QIQPoO8LBk2aNFFxZvi9wS54giZPnuzz0D/6PsRKQXBgVMOo6I//R1+A5zBEV6JECZebUdzooa9ErCpuwCHo0AcePnxYNmzYoPZ76aWXVL+Jm1TYhj4DfQCO++OPPwZs6A/98htvvCGDBw9WfTb6GMTL4XXgFUViAa5RxmeIPgxJSA0aNFBDm4gX8wUMYY4dO1YlDmBkiGQyQcrq1A68FUYtF4DCf2hDqQfnBanHRv0c1OrBPjt27HD8n1GEb/v27XarsnHjRpWGjbpdqNNVpEgRtY3Uak8lILZu3arqcKFWDYoVPvPMMy7FYwHOFzV8UNLC1+Kx7mA/pON7K3rpbldaxRLdC78ilf3NN99Ur420fNRFwmcMO91Tx1GqA/V6UKDSl+KxqBWE9He8lyVLlkyzeKw7sB0LIf6AuoEoHppW7SgUH8V38vTp0x5/RwbuJWBQPubZZ59VRUxRqsH9O//ZZ5+p3wd+6+gTUDZi0KBB9qNHj/r9fTf6h9WrV3ss3eBcCgdFTBs1aqReF3XH8JpGKR3n/dJi9+7dqsAuapbh/cOxUOftySefVCVuPBWFRe1B9JF4L1FP8a677rL/8MMPqfZDHxkbG6uO27BhQ6/FY6dPn+7S7u09MPoblOpwBsW1UfjauCbBfvSbztch1FxE3TPY46l4rLsN7lSrVk3VWTt8+HC67ykJLJz78l9w54W7Ddx9ANxlGJN0uwdV4q4DGXaIR4LHDHM7Og8rwE2O4H+kjusM5n6EqxxeqAIFCphtDiGEkEygTp06yuPnKYOXBBcOX6bxpcRwJNKMnWvtOIOAV8RSIHvPGPLbuXOnemSQNyGEEN1Ys2aNGp5GTBnJfLK0KEMsETIJDTA2jy8j7hAQTwRPGcbX33vvPSXS4DHCnQNilBCXhKycunXrquBRBHsjEw+FVuEhSy87hhBCCLEKqCLwzz//qOsdSoj4G4tIAkNYVr8jgNjCAhAUifXXX39dbSOgH6IMFdoRHIqhzdWrVzuK/yGAExmYGNpDmjaEGkojeKoZRAghhFgVlA165JFHVDgOEhdQB45kPowpI4QQQgixAFnaU0YIIYQQYhUoygghhBBCLECWC/RHMP7Ro0dV0T2zpwYiJKuCqAkUP0WhYc6rl3mw/8u68DenB1lOlKFDKlmypNlmEEJE5NChQy5V1ElwYf9H+JuzNllOlOEO0fhi5s6d22xzCMmSXLx4UYkD4/dI9O3/UM8RpYUqVKiQqtC21dDF1mDYyd+cHmQ5UWa47NEhUZQRYi4cQtO//0MBbYgIXOwxobWV0cXWYNrJ35y14cAyIYQQQogFoCgjhBBCCLEAFGWEEEIyDDL5ypUrp0VGny626mInCTzWHVQnhBBieSAcChUqJDqgi6262EkCD2U4IYSQDIOA9A0bNqhHq6OLrbrYSQIPRRkhhJAbKkp67do19Wh1dLFVFztJ4KEoI4QQQgixABRlhBBCCCEWgKKMEEJIhkHF+SpVqli6Qr5utupiJwlhUfbWW2+pSsP9+/f3us/EiRPVPs5LTExMptpJCCHkP9APx8bGalEpXhdbdbGThKgoW716tXz66adSs2bNdPfF1CDHjh1zLAcOHMgUGwkhhHieEgh9OB6tji626mInCUFRdvnyZXnwwQflf//7n+TNmzfd/XHnUKRIEcdSuHDhTLGTEEKIZ3Qq3aCLrbrYSUJMlPXp00fuvPNOad26tc8irnTp0mq2+44dO8qWLVuCbiMhZnI14ar8vfdvmbBmgqw7to5p8oQQEqKYWtF/6tSpsnbtWuWm9YXKlSvLl19+qYY5L1y4IO+++640adJECbMSJUp4/J/r16+rxeDixYsBs5+QYBCXGCfLDy2XBfsXyPz982XlkZUSnxTveL56oerSvWZ3ebDmg1IsVzFTbSWEEBI4bHaTbrsPHTok9evXlzlz5jhiyVq2bCm1a9eWDz74wKdjJCQkSNWqVaVbt24yYsQIj/sMHTpUhg0blqodog7xaYSYzfXE60p4GSIMgux60n83Et4Is4VJ63KtlUDrVKWT5IjKIbqAm6M8efLwdxgC77tR6DRbtmyWD0zXxdZg2MnfnB6YJspmzpwpnTt3dkn5xRg6voCY9wveLV/Sgbt06SIREREyZcoUnz1lGPrkF5OYDX56r857Vd5f8b5cS7zmdb/yectLqzKtpGL+ivLzjp9l2aFlqfbJGZVT7rvpPiXQWpRpoQSbleEFIrREGfpu9NdWFjo62RoMO/mb0wPThi9vu+022bRpk0vbI488omqzvPjiiz4JMnxpcYw77rjD6z7R0dFqIcRqTN86Xd5c8maq9jKxZZQIw9KyTEspmaek47lBTQfJrjO75JuN38jXG7+W/ef3q/bL8Zdl4vqJaimZu6Q8UvsR6V2/N4c3SdBBP7xmzRo18oEbZCuji6262EkCj2mfdq5cuaR69eoubTly5JD8+fM72rt37y7FixeXUaNGqe3hw4dLo0aNpEKFCnL+/HkZPXq0Konx+OOPm3IOhNzIkOXguYMd212rd5U25dpIq7KtlChLC3jMhrUaJkNaDpGlB5fK1xu+lu+3fi8Xr6fESx66eEiGLxquBB+8Z882fFYal2hsac8AIYQQkwP90+PgwYNqKNPg3Llz0qtXLzl+/Lgqn1GvXj1ZtmyZ3HTTTabaSYi/fLz6Y9l7bq9aR1zYd/d857dowhBls9LN1DK2/Vj5Zccvynv25+4/JcmeJInJiTJ181S11C1aV4kziL+YCBZcJoQQK2JaTJlZcFydmM3Za2elwtgKci7unNjEJmt7r5XaRWoH7PiHLx6WT1Z/Ip+t/UxOXz3t8lyB7AWkV91e8lT9p1yGRTMb/g5D531HgVNdhtp0sTUYdvI3pwfWjgYmJAQZuWikEmSge63uARVkoETuEjLytpFyaMAhmdhxotQrWs/xHETaqCWjpOyHZaXL9C6ycP9C1j0jNwTifyEedJinURdbdbGTBB6KMkIyEQxZjls1Tq1jGPGNW98I2mvh+D1q95DVvVbLskeXSbfq3SQiLOWuG8ObP2z9QVpOaimVP6osby95W45fPh40W0hoEx//Xx09q6OLrbrYSQILRRkhmQiC+xOSE9T6842fV16tYINYtcYlG8t3934nB/ofkNebvy6Fc/w3Pdmus7vkpbkvSYkxJaTj1I4qNg3xaIT4mim4ceNGLaYF0sVWXewkgYeijJBMYsXhFfL9lu/VeqEcheTFpi9mug0okYHMTYizb+/5VpXdMID3DIIMwqzU+6Vk8N+DVfkNQgghmQNFGSGZAOK2XvjrBcf20BZDJVd0LtPsiY6IlgdqPCDzesyT3c/ulleaveJS0+zY5WPy1tK3pNJHlaTFxBYyaf0kOXctJQ6OEEJIcKAoIyQTmLF9hiw9tFStVylQRR6va53aeuXzlVexbfCezeo2SzpX6eyIPQOLDiySnj/3lIKjCyqBNnrpaNl2ahsTBIgDnQLSdbFVFztJYGFJDEKCDCYTr/ZxNdl9drfa/qXrL9KhcgexMicun5DJGyfLF+u+kO2nt3vcp1zecnJXxbvkrkp3SfPSzZX3zVf4OzQHvu9ZF372ekBPGSFBZsKaCQ5BhmmTIGKsTuGcheWFJi/I1qe3ytJHl8pzjZ6TSvkrpcokHbtqrLT5po0UGF1A7v3+Xvlq3VdK0BH9iYuLkytXrji2sW7MI5ycnCyXLl1Sgei4rz916pRcvnw53X2NrELnfa9evapeC+BY2Bd1ukBCQoLLvpikO619se28LxYDPIfXxmwwxr6GTwLHdN4Xr4l9AI7vvi9sdt7XyJTEOWJfnDPAe+D+HvqyL17r2LFjjnNN7z00bCX6Q08ZIUHkfNx5KT+2vCoYC9b0WiP1iv1XN0w3dp7ZKb/t/E1m7ZqlhjU9ZWlipoHjzx+XgjkKej0Of4fm4Ov7DhGwfft2JQwwcwpAMdMCBQpImTJllCBYv3691KpVS7Jnzy7//POPEhI333yz2nft2rXqdcqXL6/EDp6vUaOGajt8+LAcOnRIGjdurPbdsGGDOkbFihWV2Fi1apWapSVfvnxy9OhR2bdvnzRt2lTti7mOIyMj1RzJEEsrVqxQ67DrxIkTsmvXLrUvMo63bNmi/qdatWrKtqVLlyp7Tp8+LYULF5adO3eqaftQnBXnCmEDGwH2LVu2rBQrVkzOnj0rW7dulYYNG0pUVJR6DYgynDtYvny5lCxZUkqUKKHeV9iI9yxbtmyyZ88e1Va3bl21L86tSJEiUqpUKSWycO61a9eWnDlzyv79+5VtqE8G8YXjFi1aVNkMsbZu3TqpWbOm+tww2w0+G7zfsBvngteMifE+Wwd/c3pAUUZIEBk0Z5CMXjZarT9Y40H55p5vJFS4EHdB/trzlxJov+/63TF7QJ0iddQsBWnB36E5+PO+w/uFBYIJQIggzik6OlqJNmxDeEAAQThB6EBcpLUv2iC8ICQw1zGAaMN0etgXlyMIEIgLiCXsh/2NfeE5wut52xfeJsMGw8tkCBUISQg6CD3MqWwcF8fD/+F4xr44LgQY9of4w7Gc98U54XyMfbEf9oeYwvngPcM5YV+0Ob+HsDW9fXH8vXv3KjvxOmm9h/g/fJ4QbBRl+mPdeSYI0Zz95/fL2JVj1Xp0eLSMvHWkhBJ5YvJIl2pd1JKUnCSrj66WWTtnScnc5k3fRAIDRAAu/M4XeUNYAIgIQ/xgX2w7P+9tXwBBgsXAEDcAosd5X4gdLAbO9vizL8C+xlChIYwMIPKcMUSgsa/z66S1LwRTWvs6vy/p7WuI2vTeQ+xTqVKlNAUZ0QeKMkKCxCvzXpHrSSlxNf0b9ZfSsaUlVAkPC5dGJRqpheiPMVyGoUpnMeANZzFkdXSx1Vc7ITThyTPEMdEbfoKEBIHVR1bLd5u+U+v5s+WXwbcMNtskYnEWLVokHTp0UHFM8ALNnDnT5fmePXuqduelXbt2QbEFHh0Mhzl7sbwBIYB4Kh0EgS62+mMnhjUR7+ecUED0xdrfTEJ0LRQ7579CsUNaDFFDfYSkBS6qCB4fP368130gwhDgbSxTpkwJii0YOkPckS+1sowsSB3Ck3Wx1R87MWxZvXp1nwQ0sT4cviQkwMzbN09lJoKK+SpK7/q9zTaJaED79u3VkhaIH0L2XrBBPBky/HDBd4698gSEA7IGjUB4K6OLrf7YiZi32NhY9Uj0h58iIQFmwf4FjvVXm78qUeFpX9QI8ZUFCxZIoUKFJG/evHLrrbfKG2+8Ifnz5/e6PzLzjHphRgYeQEahUd8LQ2RYEJNkBMIjKxBZiij1YFzsT548qTL3AISC4cXBI0QcyjLgODfqhXI+dqDbsW2UkHAXO/4e3x8ycmx8bu52GvsjixLfA4DzQZkRCHbnODTjczVqyRmfN7E2FGWEBJh1x9c51puVamaqLSR0wNDlPffco+pnof7Vyy+/rDxrqGflbZhx1KhRMmzYsFTtCOI3sgYLFiyoamGhrAVKYBjgdXChP378uCq4iv+BaFu8eLHs2LFD7rvvPuWhMeKfvvzyS1Vrq0ePHi7i4IcfflBDs2h3ZtKkScoGHMcAAgPtOJ5zvBxeH8epXLmyNGv232/qyJEj8scff6g6YEYtMAAxgxi95s2bq8xEA9QFwxAxhn5RA8zA/ZwMZs+erQRPZp/T33//LX379nUpLut8TqjNVqdOHfX5YNgStdSMEhsG5cqVU8Jt8+bNqt2XmDNDvBlFaklgwO8TNze+eGdZp4yQAFN8THE5eumoxMbEytlBZy09TGIW/B2mDb4zM2bMkE6dOnndB3WsIKZwAb/tttt89pTB+3XmzBnH++7JU2bsiwVtKJj67LPPysDHREoVSRKbJItd3dPb1GNizK0SEfeXhEmC2MU9axAeGlxm3NtRhd6WyjdgU8dwb0dLothVGHS4D+3JYpMksau2MJe9k2Juk/C4+er5/3A9J2fbcYaZfU7qSDFtJELZmehyTgeOhcvoL8Nk3LhxquAuvivwnObKlcvF6+buKcNnCa+qt98cvJ0Qq86zFZDAJs/gRiC9cAB6yggJICevnFSCDNQuUpuCjAQNeEJQyX737t1eRRk8Ke71rwDu2t1jkIyLOMCFGV4lxK8ZBWLh8SldRKRSWeM/Ep2EyG9OR/I25Y+ndruf7RCNyX60Q3i5e33+EO94G+Iz45x+9/KaSZKQkKQ+E+fsTG/eUqM9rZgzCG94SrEvsn8hHNh3BQZjeB9eaLzHENJpZdVSlBESQNYd+2/oEpXtCQkWGFaDx8t5GC5Q4KIBb4ovJRns9jA5n1BbYiPXi83mSVxYB11s9cdODE0iKQPTMzkXp/UHiAYIM3hRM3oM4h3c2GD4+8CBA6mKMrvDkhiEBCmejKKM+IMxnyQWgLtqrOOCi+cGDhyo5npE3NbcuXOlY8eOUqFCBWnbtm3AbcFFA0Ojnrxs7mCI8Hx83X+HCq2NLrb6YyeEMz6vQNRes3r9Np3x9b2lp4yQYImyohRlxHdQALRVq1aO7eeee049Ipj8k08+kY0bN6qAcQSIY4ipTZs2MmLECJ+Ek7+wSrw+cJql0IKijJAgDF/GRMRIlQJVzDaHaETLli3TLL3w559/ZpotyNSDSPR1miViHkaZDzwGIw4MnlrUTMssChQoIKVKlfJ5f5x37969VSbruXPnVAIRZr/44IMPAmbT0KFD1Qwbhhc7mFCUERIgLl2/JLvO7lLrNQrVkIgw/ryIvjEwqBLvW22rZMkZsdNLsLrV0MVW3+2EgN6yZYu0aNFCZWAGWpBVrVpZrl6Nk8wie/YY2bZth8/CDGVLJk6cqGr4IfkFnl2dZzfgVYOQALHhxAbHOuPJiM4YVeIxVJoeYbYkKRiTMoOF1dHFVn/sxLBl1apVgyJE4CGDIPvmHZGq5STobNsr8tCgOPW6vooy1OxDskuTJk0kFKAoIyQYmZeMJyMagwwxZHeiNEJ6dZWS7eFy5npTyR+9VIkJK6OLrf7YmRnTLEGQ1a0mlqNnz54qzhJg6LZ06dJqyL127dqO4UtsP/HEE6p0zPTp01VNt1dffVW1Gbz44ouqLiC+8ygD8+CDD8rrr7/uUjA4s2AEJyEBgpmXJFQw5r5ErFL6hMnlxEqaXE50sdV3O/EZoeirb59VaPHhhx/K8OHD1WwJeA9Wr17tcb/33ntPlQzBrBRPP/20PPXUU2oGBwMM+2IIdOvWreqY//vf/+T9998XM7D6N5MQ7URZmC1MahSuYbY5hGQYBPdjOMiYiolYF8zYgNkdkC2b1ciTJ48SVCh6Cw8XpgzzxB133KHEGErIwCuGZIL58+c7nofnDN93eNU6dOggL7zwgnz//fdiBhy+JCQAxCfFy5aTW9Q6si6zR7IAIyEkcwR006ZNAx7kH0rUrFnTsY5hTgi4kydPOtqmTZsmY8eOVfFpqAmIBBezpn+jp4yQAABBlpCcMnzAoUuiO5hmCXXRnCe49gbmY4yNWus2l6Q10cVWXezUhUi32DAIM2Oe1+XLl6sYMnjTZs2apYY4X3nlFTWEbwb0lBESABhPRkIJf6rEYxqgvFFrRQd0sdUfOzFsuXnzZqlXr57WpSDMYtmyZSpBAELMANMhmQU9ZYQEAGZeklACggxV4n2ZLSDZHiHHr7VXj1ZHF1v9tdPbZOQkfTBBOJJapk6dqoYvMYyJTEyzsPY3kxANPWW1i9Q21RZCMrdKvE2uJRVXj9ZHF1t9tzOYdcqc64dlBtsy6XWcufvuu2XAgAHyzDPPqKSJO++8U1577TVVxd8MKMoIuUGS7cmOwrGl85SWfNnymW0SITcEgp1XrlzJaZY0AMI5KSkpKNMsIUsRFfZR0DWzyJ49Rr2ur/Tv318tBqjs78z+/ftT/Y/7dEnvvPOOWtyPawCBllkijaKMkBtk99ndcjn+slrn0CUJBeB1gfclrbk4iTUI5jRLqKqPKY+sPPdlqEFRRkgg48kY5E9CAFSHz58/v0/TLCFDsED0Yi0yBXWx1R87EfdXuXJlNYwZDCCQsrJIyrKB/m+99ZZyvTq7DD2BaRKqVKmivoA1atSQ33//PdNsJMQTzLwkoYY/VeKRKZgrcod6tDq62OqPnSj3gKKpZkwJREJUlGFqhE8//dSlwJu31NVu3brJY489pmqJdOrUSS1IBybEEqKMw5ckBECZBVSJR+BzeiBD8PDV+yyf0aiTrf7YCeGMQqhZcZqlUCTMCgGlKNyGuaYwUWhaYE6qdu3aycCBA1W8w4gRI6Ru3bry0UcfZZq9hDiDmBtj+LJA9gJSPBcypgjRG8QmoUq8b0H+NklIjtUgo1EnW323E8J5586dWXKapVDEdFHWp08flYLaunXrdPdF5V33/dq2bavaCTGDo5eOyqmrpxxDl4HOfiKEkLTA/KSYt5FZsqGBqT5cFGtbu3at15nd3Tl+/LgULlzYpQ3baE/rLsLZBX/x4sUbsJgQVxhPRkIRTK+EsBBkwgUrgJwEBtwIYuYF3hCGBqZ5yg4dOiT9+vWTb7/9Nqg/+lGjRqmZ5I2lZMmSQXstkvVgJX8SqvhaJd4miVI4ZrZ6tDq62OqPnRi23Lp1q0/zlBLrY5oo++eff1RwImLCkH6NZeHChWqKA6yjGJ47mNn9xIkTLm3YRrs3Bg8eLBcuXHAsEIOEBAp6ykgo1ynz5YbZZrNL9ojD6tHq6GKrv3aynlzoYJoou+2222TTpk2qsq6x1K9fXwX9Y93TXVrjxo1l7ty5Lm1z5sxR7WnVcMmdO7fLQkigRVmOyBxSMX9Fs80hJOBV4tMj2R4p+y/3UI9WRxdb/bETwrlatWpBn4w8Pj5eJeYZXL161ZFcgO/JpUuXJDExxbOHTFDnfeHFS2tfbBsk/tvuKy1btky3lJZzdX8M87pX9L+RYxqzCOC4vtT1s2xMGbJ7qlevnipgEQULjfbu3btL8eLF1RAkwHAnqha/9957KjkAMWlr1qyRzz77zJRzIFmbc9fOyf7zKVN41CpSS8JspufNEBIQcEFFApWv0yzZxdoiR0dbrWAnhPmpU6dUDTTUrcNIk+EE2bBhg2TPnl1N6A3BtmrVKrnpppskX758cvToUdm3b5/K4AVwwOAYqDEK0bVixQq1jphFjHbt2rVL7ZuYmCgHDhxQGsDXsKaffvrJ5xptCF/CeRjTOEFMtWrVSs6dOyexsbEZOmagsXSxFszcjgBGA2SYfPfdd/Lqq6/Kyy+/rL4MM2fOTCXuCMkM1h//726LQ5cklMAFEVXiiR4CGkkZwZhmCd4wOD4gzqOiolRlf8MbVKhQIXV9xja8X9gnOTlZbUPQYNvYF8VtDU+SsS/ANo6BbYQXxcXFqcWf4ViIQF/BCFxa4U4ZOWagsdStPVTrBx984LI9ceJEl326dOkiO3bsUBmV+CLecccdJlhKCOPJSOjCKvH6gBCdChUqBCVhDqNX9erVUx4xiDJsG2C4FK8NILjgUUU8OMD3xnlf2JbWvoY3NiYmRjlZ/BmKdR5qhLh788035dFHH1UCFSLSeSTNefgS6/CSAdRIRXvPnj1THRNMnjxZhVfhmBB1DzzwgIqJD3lRRohOsJI/CVX8qRKPDMHi2X+wfEajTrb6YydEDYRCMAQ0vFgQSM4jVsHGfoNJCwhvgoDCrD9PP/20PPXUU8qR42ko88cff1TreB7DmihQ7wn8DlCsHkO2GJ2DoDMEXKChKCPkBsthRIRFSLWC1cw2h5CAgSEkVIn3ZZolRD9F2K6oR+uji62+24k4rNOnT/sdIO8L+Pz37Nnj4/cgMEOxS5cudQn89xeMnkGMwXv44osvqvix+fPnexzKNIYpMRQLYYuyWZ6A5619+/ZSrlw5adSokaoS8ccff7gkMwQKijJCMsC1hGuy/fR2tQ5BFh2R4ponJBTAcBJieJ2HoNIKSD9wpYclAtNDxVZ/7ISA3r59e1DqlEHoIdbLU4mqYBAdHa1ixW9kKNZ5Dm0MSUJs3ehQI0p4dejQQQ2HYggT8XtG3HugoSgjJANsOrlJkuwpHRWHLkmowSrx+gDhfPPNNwdlmiUcG7VEEVOWGURGRqpZem5kKNb9f/EdRgJCRrly5YqazhHltFDsHjMQzZgxQz2HrNMslX1JiBaV/BnkT0IMeF1QJR7DO5xmydpAdECIhIKATvx3KNY5ESCYIHkBpOUJhBfyzJkz8tZbbzlmBEJGarCgp4yQDMDMSxLqsEq8HiDeC4HqRnHWQAIvEeqPoTRGZhAXxKFYT5QuXVqJ2VmzZql6bJ5ixDBkCfE2btw42bt3r/zyyy8q6D9YUJQRcoOiDIVjCQklkHGHKvE+TbMkCVI6xyT1aHV0sdUfOzE0h2G0Gxmi8wY8cPCWOg/TQaAZgf94TQgZw9OE/SDkDCCujH0h8rGvcyV/530hyCIiIlQgfTCGYj2B4vTDhg2Tl156SQ2bPvPMM6n2QWkYlOaaPn26Ko4Lj9m7774bNJs4fEmInyQmJ8rGExvVeoV8FSR3NKfuIlkZmyTac0ik7YIGWY262Oq7nRDQNWrUCErcFzxECGxHlX2j4Cu8RchShIgxhrnx+mg7fPiwS9V//J9z1f8tW7YoYYPq+aj6j9IS7lX/y5Qp49dQLOqZGuB47jhPqYRju3uAX3vtNbV4Oybo1q2bWpxxPg7qmgXKs0xPGSF+suP0DolLTBkq4NAlCRSLFi1SGV7FihVTFyXUQ3IGnf7rr78uRYsWVRfi1q1bq+lpggFKEixZssSnlH+7RMiRq/epR6uji61WsrNs2bJKOEFIYUFSAQq8Yh3CDJmIJUqUUNuVKlWSZs2aOfZt0KCBEmxYh8cJ+2I4ENsQatg29kVtsdq1a2f5GEaKMkL8hNMrkWCAoZxatWrJ+PHjPT7/zjvvqPpIEyZMkJUrV6rMOGSFBSOWCBdG1HkyqrATa39vli1bFpSaWcC9kj/Wje8FMnThSUPNL2Nf56FHeMkMkYUbDezrqZI/wI1GTBYXZMB8GU6IZrCSPwkGKE6JxRPwkmEKOsz727FjR9X29ddfK08FPGpdu3YNqC1GlXhj7kJiXfBZIWDdyCQkekNRRoifMPOSZDb79u2T48ePqyFLA8TwYChp+fLlXkUZgqydq7FfvHhRPSLY2gi4hrcDC4K2jWBxBG4jG82oVwZRiIs/ombs9iSx2ZIl2Y7Lh02S7ZEi9kSx223YTNl2ImWqIHuqQqgpQey2VEN0YbYEdSzXdruE2fAaYWKXcB/akyXMliTJ9nCXASHsh9dNsd3ZFtdzcrbdZrNn+jmlPMDOyFTnhH0jI1M+E3xe+FxQkR7eKueq/sbnis8S+waj4j8JPBRlhPgBOjejRlnRnEWlcM7CZptEsgAQZACeMWewbTzniVGjRqnsMncwL6AxJIVYn/LlyyvhByEGcAE/e/asmlYGw2II0u7Ro4fE5xC5nLhYckXukKPXOklCcmzKAW0i15MLSfaww3LwygMuYgVzOGLKIFSodwbZhQhmR+yUs6gpk3OSXEsqLifi2jnaI8POS4nsP8jlxIpy+nozR3u28CNSJNsfcj6htpyPr+tozxmxUwrGLJIz15vK5cRKjvbYqLXq+MevtVevYVAg2sM54f2NmS3ZI8w5p9joTXLo6gOpzikpqqn06FFJfSYIpMeQIDhy5IjL9ET47CDWNm/erALynTMdiXWhKCPEDw5eOCjn4s6pdQ5dEqszePBgee6551w8ZSiAWadOHVWhHBiTTSOgG8Ngxs0HRBnKHyAuCFPtTJo0Sca9IpKzYEr5g2LZkIhgUx6ga0nFJCbsqGovleM7j14lCBbX9gSVXejebggT1/YU71HOiF2SI2JvqvbYyPWSJ3KTU3uKxy9/9FLJH73cafdkuZpYQgpG/y3OCX7wlDmfk6vtmX9OeE+jbKelVPavlafO+ZzC45fKpEnLVd0sfF4QW8hqvOWWW1xitIzPFUH5+DwNL2lasDZd8PD1vaUoI8QPOHRJzADxXeDEiRMq+9IA28hY8wYCsj0F6yPY2r1iujHc5fy/8LBgCBML6kpBrhhiBkNvIFki5dT11v8KDgyxea6t5bnmlt1jO4SI5/ZkDJj63I7hPvlXcBm2wlsFWz3ZaZxT6vbMPScMW5683sajnRCQCQlJjqFleDyR5QiR7fz5GRhB+GlVyDemJoIIR8A9CTxGAd70ppCiKCPEDzi9EjEDeLEgzObOnesQYfB8IAvzqaeeCvjrIaMTVeJRqoAZmNYGQgyfkSdB5isQbvisjYm74R0NhWmbrOIhgyDDe4v32BDJ3qAoI8QPmHlJggVit3bv3u3YRowXCl+iojpqO/Xv31/eeOMNVd8JIg0FL1HTrFOnTgG3JZhV4klgQSIHvjcYpryRkhKGN9YQZiSwQJAZ73FaUJQRkgFRlic6j5SNLWu2OSSEwCTHrVq1cmwbsWAIsMc0L4MGDVLxQ0888YQqVYEYotmzZwelthM8JSj66VtJDLsKWrd2hXzdbPXdTmOqoxsV0PCMYWgcyQEYqiaBA0OW6XnIDCjKCPGR01dPy+GLh9V67SK16d4nASW9qVrwfRs+fLharATisJBFqAO62OqPnYgBw5B2oKZZgnjwVUCQwMOK/oT4COPJSFYBnhdUifeljALqbF1KqKwerY4utupiJwk8/MQJ8RHGk5GsAqrDo9xCepliAMVMUWfLtQCqNdHFVn/shHBesWJF0KZZIpkLRRkhPg5dfrTqI8c2PWUk1EVZ8eLFOXWPBkA487MKHRhTRkg6JCUnSbcfu8mhi4fUdrNSzaR6oepmm0VI0EBF/3PnzqkpetKqb0XMB2IMwfkUZaEBPWWEpMNr81+Tv/f+rdYL5ygsU++byiB/EtKgaCyqxKNeWfrYVbV662c06mSr73ZCOGPGBTwS/aEoIyQNZm6fKaOWjFLr4bZw+b7L91IsVzGzzSIkqBhV4n3J6EOmIOZq9FYN30roYqs/dkJAb9q0yVExnugNRRkhXth5Zqd0n9Hdsf1um3eleenmptpEiNWqxCND8Fx8XS0yBXWx1R87IZzr1q3rmGCe6I21v5mEmMTl+MvSeVpnuRR/SW3fX+1+6XdzP7PNIiRTwLAlqsSjWnx6IEPwPASExTMadbLVHzshnCHMbmSaJWId+CkS4gYKeD7+y+Oy9dRWtV2tYDX5/O7PGUdGsgyBqhJPgg+E8969e30S0MT6UJQR4sYHKz6QaVumqfXc0bnlp/t/kpxROc02i5BMA54XVIlHtXhibRDgj+mwkDFL9IeijBAnFu5fKAPnDHRsf93pa6mUv5KpNhFibZIlZ8RO9Wh9dLHVdzsZUxZaUJQR8i9HLh6R//vh/yTJnpJaPviWwdKxSkezzSIk08HQJarE+zLNUpgtSQrGLFKPVkcXW3WxkwQeijJCRCQ+KV66TO8iJ6+cVNuty7WWEa1GmG0WIaZW9PdlmqVke7icimuuHq2OLrb6YydKYaxevdonAU2sD0UZISLy/J/Py/LDy9V6qTylZMq9UyQ8zNodNyHBFGUlS5b0sUp8mFxOrKTJ5UQXW323Mzw8XFX058wLoQE/RZLl+Xbjt/LR6pR5LaPCo+TH//tRCmQvYLZZhJiGc5V4XPSJdUE9ucKFC6tHoj9Wv10gJKhguLLP730c2+PvGC/1i9U31SZCzAZDYqgSj2rxxNpAOF+6dInTLIUIFGUkS/PS3y/JhesX1PpDNR+Sx+s+brZJhJgOMvmQ0efLNEs2SZLYqLXq0eroYqs/dkI4b9iwgdMshQgUZSTLsuLwCvlq/VdqPU90HnmvzXtmm0SIJfCnSrzNlix5ISBsVi8zoY+t/tiJWnK1atXySUAT62OqKPvkk0+kZs2akjt3brU0btxY/vjjD6/7T5w4UVVVd15iYmIy1WYSGiQlJ7kMWyLTslCOQqbaRIiOVeKT7RFy/Fp79Wh1dLHVHzsR85crVy7G/oUIpn4zS5QoIW+99ZZUrFhRTW0zadIk6dixo6xbt06qVavm8X8g3nbs2OHY5tQ3JCN8vvZzWXtsrVqvWbimPNXgKbNNIsQyoDo8qsT7dtNrk2tJxdWj9dHFVt/thHA+cOCA8pgx2F9/TBVlHTp0cNkeOXKk8p6haKE3UQYRVqRIkUyykIQiZ66ekZfnvezY/qj9RxIRZu07Z0LMiCmDMCPWBgH+J0+elAoVKlCUhQBhVvpiTZ06VRXAwzBmWpWmS5curWrowKu2ZcuWdO8iLl686LKQrM3Lc1+Ws9fOOoL7m5VuZrZJhBCSIRBL1qBBA06zFCKYLsqQdp0zZ06l8J988kmZMWOG3HTTTR73rVy5snz55Zfy888/yzfffCPJycnSpEkTOXz4sNfjjxo1SvLkyeNYIOZI1mXN0TXyv7X/U+u5onLJO63fMdskQiwHbo5RJd6XjD5kCBaIXmz5jEadbNXFThKCogxCa/369bJy5Up56qmnpEePHrJ161aP+8KD1r17d6ldu7a0aNFCfvrpJylYsKB8+umnXo8/ePBgVQTRWA4dOhTEsyFWJtmeLM/8/ozYxa62h7YcKkVzFTXbLEIsB6rDo0q8L8HjyBDMFbnD8hmNOtnqj50QzmvXruU0SyGC6aIM03hgLLxevXrKq4XU3g8//NCn/8W8bHXq1JHdu3d73QceOCO701hI1mTi+omy8shKtX5TwZvk2YbPmm0SIZYE/SbCRHyJUUKG4OGr91k+o1EnW/2xE8I5NjaW0yyFCKaLMncwJOlLGrYRh4bhz6JF6e0gaXPu2jl58e8XHdvj2o+TyPD0J1smJCviX5V4myQkx2qQ0aiTrb7bCeFcrlw5BvmHCKZKawwttm/fXkqVKqU6gO+++04WLFggf/75p3oeQ5XFixdXHjQwfPhwadSokfKsISto9OjRKhX48cdZhZ2kzevzX5fTV0+r9f+r9n9ya9lbzTaJEMuCITFUiS9TpoyK+SXWBY4MfF4YBfKl2C+xNqaKMqTxQngdO3ZMBeGjkCwE2e23366eP3jwoMuX7Ny5c9KrVy85fvy45M2bVw15Llu2zGtiACFg/fH18vGaj9V69sjsrNxPiA8ZfQgliY+PN9sUkg4QZIjDRpw1isgSvTFVlH3xxRdpPg+vmTPvv/++WgjxFRQlRnA/gvzBa81fkxK5S5htFiGWxqgS70udMpskSuGY2erR6uhiqz92omhsjRo1OM1SiEBfJwlpvtn4jSw9tFStV8pfSQY0GmC2SYRYHqNKvC/xvTabXbJHHFaPVkcXW/2xEwIaI02cZik0oCgjIcuFuAsycM5Ax/bYdmMlOoLBsIT4Ms0Swkt8CfRPtkfK/ss91KPV0cVWf+zEEDNKPXGoOTSgKCMhy7CFw+TElRNqvXOVztK2QluzTSJEC1AdHlXifR0Ss4u1RY6OtvpqZ0JCghw5coSiLESgKCMhye6zu2XsyrFqPSYiRsa0HWO2SYTcEEOHDlVz/zovVapUMdssYgEBjaoEzJINDVhtjoQkwxcOlyR7ytDLi01flDKxZcw2iZAbplq1avL33387toNVMBTV4VElvkiRIgwgJyQToSgjIcf209vl203fqvV82fLJc42fM9skognbtm2TqVOnyuLFi1WgO8oNYCo3zBzStm1buffee00t0gkRBqGUGa+DKvE+TbMkiVI8+w+Wz2jUyVZ/7Lx27Zrs379fGjZsSAEdAlCUkZD0khklMAY2GSi5ozm1FkkbeIUGDRokS5YskaZNm8rNN98snTt3VuUGzp49K5s3b5ZXXnlFnn32WbVf//79TRFnu3btkmLFiklMTIyaCxiFtVF82xvInnTOoLx48aIjkB8LQC1ILChCigVAjKFwLPZHG0rLYFo75ALa7UlqTsaUKYBsYrcjDiZePdpsKUHqzqQIC8w4696ekPL/bpehMFuC2O3u7XYJsyWK3R4mdgn3oT1ZwmxJkmwPd43SsSdJhO2Karc5VcvHxN/O5+RsOzIgM/uccPxwuabssbmdE/aNjAxTnwk+GwxjY+gS28Zn6vy5IlnD/TliXSjKSEix5eQWmbp5qlovkL2APNPwGbNNIhoAD9jAgQPlhx9+UB4ibyxfvlzNzfvee+/Jyy+/nKk2QihOnDhRKleurApuDxs2TJo1a6YEo7eioRBt2M+ddevWqVgkAE9g+fLlZd++fXLq1CnHPngeC7IwEUTeo0cPic8hcjlxsZos++i1TmoqIIiKa0klpEyOLyVH2H45eOUBF7ECjw+E0IErPVxsKJ1jkiTac8iRq/e5iJoyOSfJtaTiciKunaM9Muy8lMj+g1xOrCinrzdztGcLPyJFsv0h5xNqy/n4uo72nBE7pWDMIjlzvalcTqzkaM8TuUEuJNSSmLBjEpf83/R8BaJdz8kAtcJQmiKzz6lQzN+y5/IzEmG75JiU3DinpKim0qNHJfWZwJuL7ytmuUGx9QsXLjiOg6mXMKk8vh/wpnHCcj2w2SGhsxC480NNF3x5OTl56PF/0/9Ppm+drtZH3z5aXmjygtkmEQ1+h8hggycoWPsHAxR2xaThY8aMkccee8xnT1nJkiXlzJkzjvfdk6fs8uXLagi3bNmyakgMHjp4Cce9IlKpjKtXCV6kg1ceVIIkPCze0p4y7Hfw6sNSMvu36v+s6inDMVASo1SO79T/Op/Tjn3h8uzIMBk3bpxUrFhRecHgKcuXL5/ymnnzlOGzz58/v2V+c8Qz9JSRkGHjiY0OQVY4R2F5usHTZptENMFfgWW2IAPwkFSqVEl2797tdR8MsXoaZkXMmHuSgHERB/C8Ydo7DHmhDRd7CFFc8o3rvouosdkdhU7/ExHiQbC4Y/fYro7nsT0ZMtDndogYkf9qrSX/K6Jguyc7nc/JtT1zzwkiEO8zXtf9tSEgExIgIm3qs4GARiykt2mWjLjAYCWFkMDCT4mEDEMXDHWsv3TLS2qeS0IywurVq2X+/Plq6M7wHhnAM2UFcDHes2ePPPzwwwE/tlEl3pdploi5IL4QWbmIfyT6Q1FGQoK1x9bKjO0z1HrRnEWld73eZptENOXNN9+UV199VcVuFS5c2GVIyHk9s3nhhRekQ4cOasjy6NGjMmTIECWeunXrFvDXMqrEw8sWFRWV5r7w/mDo0rPXyFroYqs/dhqZsvSEhQb8FEnIeclebvayZIvkXSPJGAjk//LLL6Vnz55iJQ4fPqwEGOLBEJx/yy23yIoVK9R6MEQZqsQj/iw9UaYirOw5JNKGIHOrhyjrYqvvdhqfFWL/0v+siNWhKCPas/rIavl1569qvUTuEvJ43cfNNoloDOJ0UBbDaqB+WmaBwHFUifdl+BLB68g21MEDpYut/tiJWD9kYcKDSlGmP5xmiWjPkAVDHOuvNHtFTatESEYZMGCAjB8/3mwzCPEJlC1p0qQJp1kKEegpI1qz/NBy+WP3H2q9VJ5S8midR802iWgOYrfuvPNOVbvrpptuSpVp+dNPP0mog5kM1q9fr2LqGEBOSOZBTxkJGS/Za81fk6hwuu/JjdG3b1+VeYlyE6jrhCxE5yWrDOHC82KUyEgPKw8F6mqrr3aiMOymTZuUkCb6Q08Z0ZbFBxbLnL1z1HrZ2LLSo5ZrdW1CMsKkSZPkxx9/VN6yrFxmAVXifYkpQx0tVKzXAV1s9cdOCGfEkvkqoIm18ftTRAo2ave4g4wgXyavJSQYXrLXW7wukeHmF/Qk+oPK6Bi6zMqgNhtmAnCv0eYJVKq/mlhCPVodXWz1x06ULUH5FghpkgVFmbdZmfADZuYHySzm75sv8/fPV+sV8lWQh2o+ZLZJJEQYOnSoqgGWlYeDME8iCuj68h4gUxBzOrpPLWRFdLHVHztxTUYGZhabMTFk8fmbOXbsWEfxxM8//9wl0wNzay1atEiqVKkSHCsJcQKdj7OXbEiLIRIRZu1OlugD+jpUykeQe5kyZVIF+q9du1ZCHQT3o0o8+nZifQG9ZcsWr9MsEb3w+Ur2/vvvOy6IEyZMcBmqhIcMnRfaCQk2c/fNlcUHF6v1yvkrS7fqga9oTrIunTp1kqwOqsPnzZuX0yxpAIYt4RBhlmwWE2X79u1Tj61atVIp4fjBEpLZ4Kbg9fmvO7aHthwq4WGMZSSBA0OXWR2jSjy8hOmHpdglMgziTYfhM11s9d1OTrMUWvj9KSJVnBCzmLdvniw/vFytVytYTbrc1MVsk0gIg0m/3YPdc+fObZo9mSnKfK0SH2ZLlBLZfxAd0MVWf+xEPNnx48dVEVn3oXYSoqLsueeekxEjRqgPHetpMWbMmEDZRkgqvt74tWP91eav0ktGAg5GBZ555hlZsGCBxMXFuXhpEVObFeKsEDOMKvE+TbNkD5PLiRUlZ8QusdnSz9Y0E11s9cdOJNnt379fihcvTlGWVUTZunXrlBo3glzRMXnCWzshgeBawjWZsW2GWs8dnVs6VWHsDwk8Dz30kBJgmJQcwf7s19LGLuFy+nozyRGxV2xiXaGjk63+2AkBjcnpGeSfhUSZ85Al7h4JMQNMp3Qp/pJav6fqPZzjkgSFDRs2yD///KNqP2VVUAoDVeILFCjAAHJCrFqnDN4yBBNu3rw5eBYR4oUpm6c41plxSYJFgwYN5NChQ5KVYZV4fcAQO0piYLolksUC/TFeXapUqSwRU0GsxcXrF2XWzllqvWD2gnJr2VvNNomEKKjD+OSTT6rsw+rVq6eK06lZs6ZkhTIL8BT6VhLDLtnCj2iQ0aiTrf7ZySH2LJx9+corr8jLL78skydPVtOREJIZ/LLjF4lLTAm6RsYli8WSYHHq1ClVPPaRRx5xuehlpUB/5yrx6V3wkSlYJNsfogO62OqPnRDQN910E4eZQwS/r2wfffSR7N69W4oVK6bSpZGRmdWqXROThy5rcOiSBI9HH31U6tSpI1OmTMmygf4oBbJy5UpVFNx59hZvmYLnE2pLbOR6S2c06mSrP3ZCOKNsiy8CmoSgKGO1a5LZnLl6Rv7a85daL5G7hDQp2cRsk0gIg/pcv/zyi1SoUEGyKvC6+DptHjIFz8fXlTyRmyyd0aiTrf7YyWmWsrgoY7Vrktn8uO1HSUxOVOtdq3WVMBuDj0nwuPXWW1UGZlYWZUjoQuYlp1myPtHR0VKpUiU1jEn0J0OBOfih/vDDDyruYuDAgSq2DMOWcPWjgB0hgYRDlyQz6dChgwwYMECVhKhRo0aqQP+7775bQh2jSjzmOGZBUmuDzwfTLPFzyqKibOPGjdK6dWvJkyePqiLcq1cvJcowH+bBgwfl66//q7hOyI1y5OIRWbh/oVqvmK+i1ClSx2yTSIiDzEswfPjwVM9llUB/lFlA7DBiytK/2CdLzoid6tH66GKr73ZCQCM5hdMshQZ+jwNhmqWePXvKrl27XNyld9xxhyxatCjQ9pEszvSt08X+b1o4apMxkJUEGwRNe1uygiADiE1Clfj0gvxBmC1JCsYsUo9WRxdb/bET0yzt2LHDZUowkoVE2erVq6V3796p2jFsCXe3P3zyySeq5g8m+MXSuHFj+eOPtNOAp0+frgJQIQgxtPD777/7ewpE06HLrtW7mmoLISQ1yfZwORXXXD1aHV1s9cdOeMhw7fRFQJMQFGUIKrx48WKq9p07d0rBggX9OlaJEiXkrbfeUlOarFmzRgXYduzYUWWSeGLZsmXSrVs3eeyxx9R8nMgExcIZBkKTPWf3yKojq9R6rcK1pGrBqmabREKUqVOn+rwvqv0vXbpUQhlUh0c/7Jv3BZNnV8rI5cQEdLHVdzsxeoDYP44ihAZ+fzMR5IpYC2OCcnwREEv24osvyr333ut3QC2GPStWrKiyR0aOHKnU/ooVKzzu/+GHH0q7du1UckHVqlVlxIgRUrduXVU7jYQe07ZMc6xzWiUSTOC1R5/yzjvvyLZt21I9f+HCBeWVf+CBB1Sfc+bMGQl1eJHXAwhnfGc5zVIWFWXvvfeeKixYqFAh9SVAbRSkjiMGAaIqoyBWA3erqLkCV6wnli9frpIMnGnbtq1qT2u8HZ4954XoN3R5f/X7TbWFhDYLFy6Ut99+W+bMmaOmVkI4BW4WESIBj37+/PlVUVlMMwfPfKhnYKJOGarEs8yCHmSVWMesgN/Zl8i6RMe1ZMkSlYkJgYY7R3ex5CtIO4cIg9qHl2zGjBmqM/AEYtZQdsMZbKcVyzZq1CgZNmxYhmwj5rH55Ga1gMYlGkuZ2DJmm0RCHAgtLKdPn1b9G4rI4sYT9bpQ4R9LVpmg258q8TZJktioterR6uhiqz92QjjjRoLTLIUGGZ5AEJk5WG4UTHq7fv16NTyA2mc9evRQd63ehJm/DB48WGWMGsBTVrJkyYAcmwSPqZv/i/Hh0CXJTCDCsvrMJbjZRgyvL9MsYRqgvFF6TK+ni6262ElMFGW+1h/r3r27XwZERUU5KmfXq1dPZXciduzTTz9NtW+RIkXkxIkTLm3YRntaiQlYiD7g7twYukT1/i7VuphtEiFZCnhfEOfrS1xZsj1CTsbdLoVi5qiJtK2MLrb6YycENJIymjdvzmmWspIoQ20y3DFh+g1cND2BH7C/oswduMwRB+YJDHPOnTtX+vfv72jDUKq3GDSiJ6uPrpa95/aq9VZlWkmRnN5FNyEk8KAIKeKGfZtmySbXkjCTiw6JAbrY6rudcDqUK1eO8X9ZTZQhMwleqYceekgFvKK+WCCGFtu3b6+CZy9duiTfffedLFiwQP7880/1PAQe6p8hLgz069dPJRYg2eDOO+9UiQEopfHZZ5/dsC3EOnDokhBzMarEA1aJtzb4fFCOip9TaOBz1Crco7/99psKfIWbtH79+iqN/EayGU+ePKmEF+LKbrvtNjV0CUF2++23q+dRauPYsWOO/Zs0aaKEG0RYrVq1VAzazJkzVZAjCQ2SkpMcpTAiwyLlnqr3mG0SIVkOJF6hSry3UQtiHRITE1WJFjwS/fErlejmm29WsV4QSn379pXvv/9eihYtKg8++GCGfrxffPGFmj8T/wuB9vfffzsEGYDXbOLEiS7/06VLF0dngdR01DkjocPig4vl6KWjar19xfaSN1tes00iWZT4+HjV11jtYjd+/HgVgI/hKvTJq1alFFgOJAhVQVgIqsWnBzIEC0QvtnxGo062+mMn65SFFhnK70bqLTxcKDXRsGFDNYx49erVwFtHshxTNjlNq1SN0yqRzAd9GWYNyZ49u1SrVk157MGzzz6rZiAxk2nTpqls8iFDhsjatWvViAFqNeKmNpD4UyUemYK5IneoR6uji63+2AnhDHHOaZayqCg7cuSIvPnmm6qwYteuXaVBgwZqaDNvXno0yI2RkJQgP2z7Qa1nj8wud1cO7QKdxJog1nXDhg3KU+8cPI1ajBBFZjJmzBjp1auXPPLII6ps0IQJE5R4/PLLLwP6OvC6wPviyzRLyBQ8fPU+9Wh1dLHVHzshnBFPxhkYQgOfv5kYqvzqq69UDTHcmRnB9ribIiQQzNk7R85eO6vWIchyRKU/dEJIoEGcKsRXo0aNXC508Jrt2bPH1OFUzBMM0WiAYrYQi95mNUGYh3NoiREDjCFZY1gWx8CCzHcsRoV4eAyR2YeyRci4R1+/57BN7JIs9uQkibseLlHR+N8ouZ49r5w5IJItRsQukRJ3PVnCbCh5FCZ2e4LExSWr44SH2yQx0a6WmBgMzdnkenyYyjFM2dcucXHxaj08PFLtl5Bgl2zZbGKTRImLh3XhEh2V4k+4di1JoiKTJDwiXJKSwiQ+Hse1ic1ml4T4BElW+6Zc5mBDeESY2PPEyoWjEZLg2Ncm8fEJYrcnS3R0lLIpZV+bREYk/VsRIEKio20SFmaT+AQU1k2QmGhYnXKuOK/ICJskJcdL/HVkREY67WuXbNFJYsdxr+P9sklUpO3f4yZIVHS4hIdFSEKiXZLU+4Lj2iQuW6ycPRQh0VHY1y7XrydJdFSyHD4ZIRERNiWccQx8L7Zv365mn3Au/2R8rvgs8b5abRie3KAog1cMWZIDBgxQVfQRC4bYBncQa0bIjU6rxKFLYhbIOkQ5CHcwBZyZ3gjMNIALrKdZTXBR9mdGk3Xr1jnixZC5V758edm3b58j4xKg5hVeE+eMi/vDDz8sJxLs8u3//lbxvMjER6FdPFemTAl5f0JOdV14+umnVekk/B+WSZMmyfnzl9S1AdsQCFjg5cOQ28MPP6ReL0Ucxas6lSjxgLmUjX3PnTsnkydPVlUA2rRp4zgObIaIRhIYhvCMGQgweoOkMewLsQIgYJCt37Bhohw61FRl9hs2Yl/MLgMPJKbUwr5ox7HxGjgnCB7jdRHrfO3aVdVu7IsF10SE9zzyyIOOfXFOSIorXbq0dOzY0bEvgvPh4axdu7aKpTbOFRPeI6lu8OAccuFCSj+IdtiHuGuc08MP11AZshi5gr1g79696jtqgPcQ32N8VhBwzs8R62Kzeys65gYCS9OdbsNmU18MK4M7RUwVhRkEML8dsQbXEq5JoXcLyeX4yxIbEyvHnz8u0REs+huqWPl3iOxyJBQhhgzCBNPJlS1bVm3v2rVLZs+ebYpdR48eVUIClfadazMOGjRIjWCsXLnSJ08ZZjSBIDDed0+eMgDPCkQghnBxmdi5c6f6vAzPmeFJMwQGRB5EFo6BYU8cE/sCY19423BcCAoMuwLsi2MYx8V2ilctZV+IGhwb+xjB7IZHyDguRCD2xblCFOG18X+wxdgX/4v9jO8ense+hhiEsH3yySdlSB+bFCkgEhGOJTHFo5UQJXCiYZathER4EhMkJsouYotS3ruIMJGICJHkpHi5Hm/711MmsvuAyJufiRJfVapUUTbgvDDcaJwr7IO9zu8LnkMJqtjYWPW88Z7is8D/43sJMY73xfCG4dH5cu7uKcN5Q8BZ8TdHMuApwx0QIcHit12/KUEG7qlyDwUZMQ3EzKJ+4tatW9WFEp4brEMMQfyYBbxSuCD7M6uJtxlNIE6wOGNcxJ33ccbb1He44ONCD6Fj9bimtGyF4IEoan+LSN1q7v+pxk094Knd7mhfu0Vk6EcpdT4xR3Qg7PREWnOyGiFG7p8nsSZZY3ZdYnmM2mSga3UOXRLzwJy+mI8XggxDX3/99ZcaBkLcFqaCMwt4j/D6mNXEAB4UbJs5qwlEAzw6VhdkOtmqi50k8FA6E9O5mnBVft/1u1ovkL2AtCrbymyTSBYHMVb/+9//xGqgHEaPHj1U8W6UI/rggw9UrBBiocwC4hUxanXq1LG8N0YXW3WxkwQeftrEdGbvnq2EGehcpbNEhPFrScwDwz0okO0e7I+4KbQhRscs7r//fhWM//rrr8vx48dVkDhi3NyD/zMbM9+TULVVFztJYOHVj5jOD1tTapOB+266z1RbCPGW+4QgciNw3UyeeeYZtRBCsqgog8t8xIgRKtNj0aJFKv2YLlUSCOIS4+TXnb+q9bwxeaVVGQ5dEnMYO3asekQcz+eff+5SIR1eC/R9yKAjhJBg4ZOyGjdunLz44otKlLVq1cqja5+QjPDXnr8cWZcdq3SUyPBIs00iWZT3339fPRo1tJwLY8NDhrJAaCeu4H2qWbOmFoXEdbFVFzuJSaIMnRHuIlG0Dh0WspC8TauEGj+EZGjosiqHLol5oEgowI3nTz/9xKnj/MAKw7qhZqsudhITRNno0aNVUT1Uh4Zrv3Pnzh73w3MMTiS+cj3xuvyy4xe1njs6t7Qu19pskwiR+fPnm22CVqDPR6V8ZIRaPaxFF1t1sZMEHp8+7U6dOqnl8uXLqhLwjh07OHxJbpi5++bKhesXHHNdsmAssQqHDx+WX375RQ4ePKiqvbtPCk4IIcHALwmOwFfcRWLKEap3cqP8uPVHxzqHLolVQDHWu+++W80diKl3qlevrmY0QeiGP1XZCSHEX/xWVi1atFCu1R9//FG2bdvmmH4DE60yKJH4SkJSgszcMVOt54zKKW3KtzHbJEIUgwcPlhdeeEFN5I05BtHXYWTgwQcflHbt2pltHiEkhPFblO3evVvuvPNO5d6vXLmyakOsGSa5xcz2qIRNSHos2L9Azl47q9bvrHinZIvMZrZJhChwszllyhS1jhEBTCKNUYLhw4erm8+nnnrKbBMtBW7GEfukw025LrbqYiexwNyXffv2VW79Q4cOydq1a9WCuAsMaeI5QnyBBWOJVUHpHyOOrGjRorJnzx7Hc6dPnzbRMuviHndnZXSxVRc7icmibOHChfLOO+9Ivnz5HG358+eXt956Sz1HSHokJifKjO0z1Hq2iGzSvkJ7s00ixEGjRo1kyZIlav2OO+6Q559/XkaOHCmPPvqoeo64gnCWjRs3apF5r4ututhJLDB8GR0dLZcuXUrVjsxM1lUhvrD4wGI5dfWUWr+j4h2SIyqH2SYR4pJdif4MIK4M69OmTZOKFSsy85IQYi1Rdtddd8kTTzwhX3zxhTRs2FC1rVy5UtUxQ8YSIenx4zanrEsOXRKLgfAM56FMVvEnhFhWlKGyf48ePaRx48YSGZkyJU5iYqISZB9++GEwbCQhRLI92SHKosOjVZA/IVaN6Tl58qQkJye7tJcqVco0m6yKTgHputiqi53EZFEWGxsrP//8s8rCNEpiVK1aVSpUqBBg00gosuzQMjl++bhab1uhreSKzmW2SYS4sHPnTnnsscdk2bJlLu2oU8ZZS1KDDNUGDRqIDuhiqy52ksCT4QqwEGEUYsRfONclsTqPPPKIuijOmjVLZV9CiBHvQKxeuHBB8uTJY/n3ShdbdbGTBB6W5SemDF1GhkVKh8odzDaJkFSsX79e/vnnH6lSpYrZpmgBPIeY+UCHeRp1sVUXO4kFSmIQklFWHVklhy8eVuu3l79dYmNizTaJkFRghhLWIyOEmAFFGck0ONcl0YG3335bBg0aJAsWLJAzZ87IxYsXXRZCCAkW9IuSTIuR+GFbSjxZRFiEdKzS0WyTCPFI69at1eNtt93m0s5Af8/gPcmWLZsWsU+62KqLncQiomzx4sXy6aefqulHfvjhBylevLhMnjxZTbV0yy23BN5Koj1rj62V/ef3q/VWZVpJvmz/zQhBiJWYP3++2SZoBUo31KpVS3RAF1t1sZMEHr9F2Y8//igPP/ywPPjgg7Ju3Tq5fv26akemyJtvvim///57EMwkusO5LokutGjRwmwTtAJ13BCDV6BAAQkLs3ZEjC626mInsYAoe+ONN1SF6+7du8vUqVMd7U2bNlXPEZLW0GWYLUw6VelktkmEuIB5BqtXr64ugFhPi5o1a2aaXToAAbF37141H7LVBYQutupiJ7GAKNuxY4c0b948VTvqqZw/fz5QdpEQYuOJjbL77G613qJ0CymUo5DZJhHiQu3ateX48eNSqFAhtY5YHtxMuMOYMkKIpURZkSJFVDX/MmXKuLQvWbLEZc44Qgw4dEmszr59+6RgwYKOdUII0UKU9erVS/r16ydffvmlums8evSoLF++XF544QV57bXXgmMl0RqjYKxNbNK5SmezzSEkFaVLl/a4TtIH1wFdKs/rYqsudhILiLKXXnpJjXcjXfzq1atqKDM6OlqJsmeffTYIJhKd2Xpqq2w7nTJHatNSTaVorqJmm0RIKn755Ref97377ruDaotuIFMQ8x/rgC626mInMVmUIZZi6dKl0qdPHxk4cKAaxrx8+bKqgJ0zZ06/X3zUqFHy008/qekkUJOlSZMmqnBj5cqVvf7PxIkT1dx0zkAUxsXF+f36JPhwrkuiA506uSafuMeUOXssGFPmCm7SMWJSrFgxywel62KrLnaSwBPmr3pv06aNnDt3TqKiopQYa9iwYYYEGVi4cKESeCtWrJA5c+ZIQkKCOv6VK1fS/L/cuXPLsWPHHMuBAwcy9Pok84YuwT1V7zHVFkLSuggay19//aWC/f/44w+VvIQFpX7q1q0rs2fPNttUy4H37PDhw+rR6uhiqy52EgsMXyJtHKm6KBR7o7h3cPCCIfsJkwF7yvB0vmtFwgGxNkcuHlGZl6B+sfpSMk9Js00iJF369++vyv44F8Ju27atZM+eXZ544gnZti1lOJ4QQgKN335R1CJD/NisWbOUlyqQ88KhAC1AbZa0wJApgnFLliwpHTt2lC1btnjdF8VtOXedOfy550/H+h0V7jDVFkJ8BTOVxMbGpmpH4PX+/SmzUhBCiCVE2R133CEbNmxQwa4lSpSQvHnzqgWdGB4zCty0uENFEVp447yBeDNkfv7888/yzTffqP9DLBpcvd7i1tCZGguEHMkcZu/+zxParkI7U20hxFcaNGggzz33nJw4ccLRhnXE0SJcg7iCmCeUE9Eh9kkXW3Wxk1hg+DJY88Ihtmzz5s2q3llaNG7cWC0GEGTIUsFcnCNGjEi1/+DBg1UHawBPGYVZ8ElMTpQ5e+eo9bwxeaVB8QZmm0SIT3zxxRdyzz33SKlSpRx9xaFDh6RixYoyc+ZM0+xCbUj3+FncdCIj3kwgHMqXLy86oIututhJLCDKgjEv3DPPPKOGQxctWqS8b/4QGRkpderUUZmgnkBmJhaSuaw6skrOx6XM8HB7+dslIszvrxohpgDxhamWkHyEzHCAG7/WrVubXjdq+PDhqlakQa5cucRsMFqBgruIM7a6Z0cXW3WxkwQev6+UEE5pkVaAvjtIOUdtsxkzZsiCBQsylDyA9PRNmzapYVVi0aHL8hy6JHqADHCU51m/fr3KBMdiJSDCrJbkBAFx6tQpFedrdQGhi6262EksIMpatmyZqi2jNXwwZPndd9+p+DB0Nph7DiD2Cx0jwMTnxYsXV256406xUaNGUqFCBZWqPnr0aOXSf/zxx/09FZJJoqxthbam2kKIP553DFtatRbZW2+9pcI0YOMDDzwgAwYMkIgIeqEJCRX8/jWjRpn7neW6devUFEsjR47061iffPKJR6H31VdfSc+ePdX6wYMHXe4U8Ppw30PAIbGgXr16smzZMlUzjViDU1dOyZqja9R6zcI1pViuYmabRIjPvPLKK/Lyyy/L5MmT080Ez0z69u2raqXBJvR5iJdFBvyYMWPSzD7HYmBknycmJqoFoH/FYtRpMzDaIVCdC+m6txuPxj7GcZ3rWwJ3oeutHSLTOK7zjT/2d7fRW7u3czLW3V/TuMZAlCeLTRL//ZdwW6LYbMmSmBzlarstAWM9kmR3b49XE8ol2SNTXk9Eov7dxZ9z8rT/jX5O7p8LCRFRBi+WO7fffrsqJouAetQY8xXnL5A3MKzpzPvvv68WYl0Q4G+XlM+WQ5dENz766CMVo4pq6hg+ypEjh8vza9euDdhrIUgfs5ikBeqiValSxSVhqWbNmqrP7d27txpF8BY3i+eGDRuWqh030sZ5IcsPQeWIYcKQmQHie7Hs3LnTUa4IlCtXTtWTRGLWtWvXVBuE36VLl5RgxLGdxYRh65o1KTdqBvXr15f4+HgVv2cAkYLsV7yeEc8HMHJSq1YtOX36tKqT6Xw9Qrwfqt87Z+B7Oyd8pjgnlD1xLo+EcwKPPvqonAkrIGuOprRXKTBFYmP2yrrj/STJSZjVLPypRIVflDVHB7qeU7HREp+UWzae6K22L4SJ9OsX7yj55Os5ocoAPh+8l+mdk6+fU3pF2Yk1sNl9UUY+gC8bfmSoIWZl8EPElx5fXswMQAJP9xndZfLGyWp9Xvd50qpsK7NNIhbDyr9DTyLGmSFDhgTstXBxPXPmTJr74OIKUeMO6jOifBD6Xm9T03nylCGjFK9pvO836oFxFlTw8ljZU5bWOSGOEKExy6bYpHbVwHjK1m8TafqAyPLly1VCWmafk3M7Pvv8+fNb8jdHbsBT5nxXA/Bhw4WOWAdMTUKyNsn2ZEfR2ByROdQk5IToRCBFV3rA+4ElI0BE4KILb4g3vGWfQ/i4x6IZF3F3DPHkrR0XfXhpKlWqpNq8xbj50w5h4qndm42+tsNWeB5hq6fjIxwHe0e4HSoiLN6z7UqEuWN3tOMw8fH+n5P7exqIz4mxh3rg96cE4eU+WS/AHQaKupKszfrj6+XklZNq/bZyt0lUeOo7fEJ0AKEYxpRK1apVU54Os4CnZeXKldKqVSuVFIVtBPk/9NBDN1S0OxDgWgDvS4AGXYKKLrbqYiexgCjDeLanysMxMTGBtItoCkthEN05efKkdO3aVcWzGtMtIdMbgmjq1KkZ9mzdCPB24bWHDh2qhiNRPgiizDnOjBCSBUUZAl8J8QZLYRDdQe1EBK0jZgtB5GDr1q3So0cPlQE5ZcqUTLcJWZcrVqzI9NclhFhclI0dO9ZjO4Y04S1D/TAUkPU2vk1ClwtxF2TZoWVqvVL+SlIub0pGEyE6MXv2bPn7778dggyg5M748eMtV0zWCmC0BMkIOhQ51cVWXewkFhBlKEeBjKGrV686YhlQOyx79uySM2dO5frHlwlzZHKOyazF3H1zJcmekl3EoUuiK8hsQ70qd1QNK6esN5JCeskGVkIXW3WxkwQev2X4m2++qerI7Nq1S6VVY0GWyM033ywffvihKvaKaUAQ70CycDxZBYoyoie33nqr9OvXT9W+Mjhy5Ijq02677TZTbbMiyBTcsGGDZWdB0NFWXewkFvCUvfrqq/Ljjz+6zGCPIct3331X7r33XlUE75133lHrJOuALCFDlEWHR0uLMoGfuJ6QzCoee/fdd0uZMmUc3v5Dhw6pmmDffPON2eZZ8reP4qQ6ZArqYqsudhILiDLUJPM0XQPajLkrUTUZgbIk67Dt9DY5dPGQWocgyx6Z3WyTCMkQEGKo2o+4MqMCO+LLWrdubbZphJAQx29RhrRwTO3x+eefO+r2YCqIp556Srn9waZNm1TKNsk6sBQGCSWQuITp47AQQohlY8q++OILNb8ZJgI3qkVjeiW04TmAgP/33nsvGPYSi8J4MhJKLFy4UDp06KBCM7BgOHPx4sVmm2VJkGmPuTl1yLjXxVZd7CQW8JQhiH/OnDnKrY8Af4B515znXoM3jWQdrsRfkYUHFqr1UnlKSZUCVcw2iZAMg7ixRx55RO655x5VlwwsWbJEBflPnDhRHnjgAbNNtJxX0Siya3V0sVUXO0ngyfBkWFDxWAiBIItPincMXaJDIURXRo4cqZKVnDPIIc7GjBkjI0aMoCjzEE+MEBaEs1h9fkVdbNXFThJ4fPq0MZUHOqMcOXKkO60HOi6SteDQJQklkEGOoUt3MIT58ssvm2KT1dGpdIMutupiJzFBlEGxJyQkONa9QQ9J1hZlEWERcmvZlGQPQnTOvpw7d66KJXMG2ZgsiE0IMV2UoTo/7h7z5Mmj1gkx2HN2j+w6u0utNynZRPLE5DHbJEJuiOeff14NV65fv16aNGmi2pYuXariyVAgmxBCgoXPg9UVK1ZUNcqMqR/uv/9+NQ9m4cKFg2YcsT5/7vnTsc5SGCQUQHkfJDQhg/z777931CmbNm2adOzY0WzzLAcyBGvWrKlFpqAutupiJzFRlLlXFv79999l1KhRQTCJ6ATjyUgo0rlzZ7UQ34iKihJd0MVWXewkgYVT0JMMcz3xuszbN0+tF85RWGoVqWW2SYTcMKtXr5aVK1emakfbmjVrTLHJ6gHpeF90CEzXxVZd7CQmijIE8bsH8jOwP2uz9NBSuZJwRa23rdBWwmzU+ER/+vTpo+a6dAeTkuM5QgixxPBlz549VQV/EBcXJ08++aQqk+HMTz/9FHgriSXh1EokFNm6davUrVs3VTtqRuE5QggxXZT16NHDZfuhhx4Khj1EQ1FmE5vcXp5zBJLQADeeJ06ckHLlyrm0I9GJhTwJIcHE5x7mq6++CqohRC+OXDwim05uUusNijeQAtkLmG0SIQGhTZs2MnjwYPn5559VGSBw/vx5VTiWE5SnBhmCmP9Yh0xBXWzVxU4SeHjbRzIES2GQUOXdd9+V5s2bS+nSpdWQJUDNMpT/mTx5stnmWZL4+HjJli2b6IAutupiJwksjMwmGYKlMEioUrx4cdm4caOa//Kmm26SevXqqaKxmzZtYkV/DyBDEO+XDpmCutiqi50k8NBTRvwmMTlR5uydo9bzxuRVw5eEhBJIYHriiSfMNoMQksWgp4z4zbJDy+R83Hm1jgB/zHlJSCiSO3duNcUcIYRkBhRlxG9+3v6zY71DpQ6m2kJIoDh69Gi6M5kQz+gUkK6LrbrYSQILRRnxC1ykZu6YqdbDbeFyR8U7zDaJkIBQrVo1+e6778w2QztQJqRBgwZalAvRxVZd7CSBh6KM+MWWU1tk77mU4ZwWZVpIvmz5zDaJkIAwcuRI6d27t3Tp0kXOnj3rqMeIIUyS9o0aSobo4FXUxVZd7CSBh6KMZHjosmPljqbaQkggefrpp1XG25kzZ1TW5a+//iqffPKJFCjAGnxpgQzB7du3a5EpqIututhJAg99o8QvjKFLQFFGQo2yZcvKvHnz5KOPPpJ77rlHqlatmmoIae3atabZRwgJbSjKiF9V/NccXaPWaxepLaVjS5ttEiEB58CBA2oO37x580rHjh0Z10MIyTTY2xCf+WXHL451eslIKPK///1Pnn/+eWndurVs2bJFChYsaLZJlsdms6nK83i0OrrYqoudJPBQlBGf+XkH48lI6NKuXTtZtWqVGrrs3r272eZoA0o31KpVS3RAF1t1sZOEWKD/qFGjVNpvrly5pFChQtKpUyfZsWNHuv83ffp0qVKlisTExEiNGjXk999/zxR7szIX4i7IvH3z1HqpPKXU8CUhoYQxtQ0FmX8kJyfLyZMn1aPV0cVWXewkISbKFi5cKH369JEVK1bInDlzJCEhQdq0aSNXrlzx+j/Lli2Tbt26yWOPPSbr1q1TQg7L5s2bM9X2rDjXZUJygsNLRrc6CTXQB5UoUcK0chxNmjSR7NmzS2xsrMd9Dh48KHfeeafaBzexAwcOlMTERDEbCAfMeqCDgNDFVl3sJCE2fDl79n+TWoOJEyeqzuaff/6R5s2be/wfTAyMYQZ0SGDEiBGqM8WQw4QJEzLF7qwIhy4JCR7x8fGqPlrjxo3liy++8OjFgyArUqSIujE9duyY8uhFRkbKm2++aYrNhJAQr1N24cIF9Zgvn/eCpMuXL1dBuM60bdtWtXvi+vXrcvHiRZeF+Ed8Urz8vitliDg2Jlaal/YsmAkhGWPYsGEyYMAAFY7hib/++ku2bt0q33zzjdSuXVvat2+vbkjHjx+vBB0hJDSwTKA/3LT9+/eXpk2bSvXq1b3ud/z4cSlcuLBLG7bR7i1uDR0eyTgL9y+UC9dTBDOmVYoMjzTbJEKyFLjphGBz7vtwM/rUU0+pLNE6dep4vSnFYmDclGLY0xj6DAsLUwv6YOfhMqMdXjrnyvLu7fgfxAUbuA+pGnM4uhdC9daOEiQ4rnM7wiWwv7uN3tq9nROOmydPHtXmbCf2BfA8JotNEv/9l3BbothsyZKYHOVquw2hHHZJsru3QyDbJMme0kfiMFH/7uLPOWHBTBLOdt7o52SFoW6ikShDbBniwpYsWRLQ4w4ePFiee+45l06pZMmSAX2NrDR02alyJ1NtISQr4u1m1HjOG95uShGPmyNHDrWOsh/ly5eXffv2yalTpxz7IL4Oy86dOx2jGKBcuXIqzAT99bVr1xztly9fVvFwOLaz+KhZs6ZERUXJmjUpNQ4N6tevr7x8SK4wgEhB8hdeDxXtDVAeAtmIp0+fVrFWBhBYKPCLyeQPHz7saE/rnLD/tm3bUp0TePTRR+VMWAFZ8+/c9FUKTJHYmL2y7ng/SXISZjULfypR4RdlzdGBrudUbLTEJ+WWjSd6q+0LYSL9+qV4Mv09J4gy50LFN/o5pRWrTayDJUTZM888I7NmzZJFixalG2iLmIoTJ064tGEb7Z6Ijo5WC8kYuMMy6pNFhUdJuwrtzDaJEC146aWX5O23305zH4gDZJIHC283pfCsGXN6Gl4izGZQuvR/BaGN9kqVKqXywACMaBieMghDw1vm7rUzPGIQYe7tECbu7YYwcW43Eosw5ZVzeIvRXqxYMZdrgLdzAhBvFSpUcElWwv5o//LLL+Xx221Su9i/NtpSvEt1inzo0VMGEebaHi/ZIs442tdvQxy0SNeuXf06J7yneG/r1q3rOJcb/ZwYuqMHpooyfFGeffZZmTFjhixYsEB92dIDgbBz585VQ50GCPRHOwk8646vk0MXD6n1W8veKrmi/xumIIR4B0Voe/bsmeY+hocmPSA4UEPNGePm1NsNaVo3pRgidJ+pwBjucscQVd7aMSwGTxWEkXFsT/jTDmHiqd2bjb62w1aIL7xnno6PCgDYO8LtUBFhnuP2ItRwpTt2RzsOY4T8+XNOsPPIkSNStGjRgH1OnJlCDyLMHrL87rvv5Oeff1Z3WYYbHncUuIMCyDAqXry4csODfv36SYsWLeS9995T2UhTp05VbvHPPvvMzFMJWWZu/2+uSw5dEuI7GG4K1IwAuOlE2QzUrsKQlHEzCm8XJk8nhIQGpmZffvLJJ2oMvGXLluqOwFimTZvmUpsH6d8GqOUDIQcRhvH4H374QWbOnJlmcgAJTDxZh8odTLWFkFAF/dz69evVI+KxsI4FcVoA9Rshvh5++GHZsGGD/Pnnn/Lqq6+qG1uGZxASOpg+fJkeGNZ0B/V8sJDgsu/cPtl4IiUIt2HxhlIs17+BFoSQgPL666/LpEmTHNtGXNb8+fPVTSuGoBB3i2xLeM0QpN+jRw8ZPny4mA2G0uAR9DSkZjV0sVUXO0ng4SAz8QonICckc0DhbCxpgeBuK04pB+GArEAd0MVWXewkgYcynHhl5g6neLIqjCcjhKQGmYJ79uzRYkogXWzVxU4SeCjKiEfOXjsriw8sVusV8lWQqgWqmm0SIcSCQDigbpYOAkIXW3WxkwQeijLikd92/iZJ9pQCkJyAnBBCCAk+FGXEI5yAnBBCCMlcKMpIKuIS42T27tlqvUD2AtKkZBOzTSKEWDgoHTOx6JApqIututhJAg+zL0kq5u6dK1cSUuZJ61Cpg4SHea4UTQghhoDQAV1s1cVOEngow0kqOHRJCPEVFLvFHJ7Ok5BbFV1s1cVOEngoyogLyfZkR32ybBHZ5Pbyt5ttEiHEwqAIOGZm8aUYuNnoYqsudpLAQ1FGXFh5eKWcuJIy0XGb8m0ke2R2s00ihBBCsgQUZcQFDl0SQggh5kBRRjyKsjBbmNxV6S6zzSGEaBCUXq5cOS0yBXWxVRc7SeBh9iVxsPzQctl+ertab1qyqRTMUdBskwghFgfCoVChQqIDutiqi50k8FCGE8XXG76W276+zbHNuS4JIb6ADMENGzZokSmoi6262EkCDz1lWZzridel/+z+MuGfCY62+sXqS+96vU21ixCiB8gQvHbtmhaZgrrYqoudJPBQlGVhDl44KF2md5FVR1Y52nrV7SVj24+VmIgYU20jhBBCshoUZVmUOXvmSLcfu8mZa2fUdnR4tHxy5yfySJ1HzDaNEEIIyZJQlGXB4rCjFo+S1+a/JnZJcY2XjS0rP/7fj1KnaB2zzSOEaEZ4eLhUqVJFPVodXWzVxU4SeCjKshDnrp2T7jO7y6ydsxxtd1a8UyZ3nix5s+U11TZCiJ7YbDaJjY0VHdDFVl3sJIGH2ZdZhPXH10v9/9V3CDKb2GREqxHyS7dfKMgIIRkmMTFRVq9erR6tji626mInCTz0lGUBftz6ozw04yGJS4xT2/mz5Zfv7v1OTaNECCE3ik6lG3SxVRc7SWChKAtxJq6fKI/98piKJQMNijWQ6V2mS+nY0mabRgghhBAnOHwZwoxbOU4e+fkRhyDrXqu7LH5kMQUZIYQQYkEoykIQFBx8c/Gb0nd2X0db34Z95auOX0l0RLSpthFCQgtkCNasWVOLTEFdbNXFThJ4KMpCUJC99PdL8sq8VxxtrzV/TT5o94GaZJwQQgJNVFSU6IIutupiJwksvEqHEBimfPq3p+WdZe842t5p/Y4MbzVcpVgTQkgwAtLXrFmjRWC6LrbqYicJPAz0DxESkxNV/Ng3G79xlLz4+M6P5cn6T5ptGiGEEEJ8gKIsRCYVx5RJM7bPUNvhtnCZ1GmSPFjzQbNNI4QQQoiPUJRpzpX4K9J5WmeZs3eO2o4Kj5Lv7/teOlbpaLZphBBCCPEDijKNOR93Xu767i5Zemip2s4emV1+7vqztC7X2mzTCCFZBGQI1q9fX4tMQV1s1cVOEngY6K8pF+IuSJvJbRyCLE90Hpnz8BwKMkJIphMfHy+6oIututhJAgtFmYZcun5J2n/bXlYfXa22C2QvIPN7zJcmJZuYbRohJIuBDMGNGzdqkSmoi6262EkCD4cvNeNqwlXpMKWDLD+83CHIFvRYINUKVTPbNEIIIYTcAPSUaQQmFO80tZMsPLBQbeeNySt/P/w3BRkhmjNy5Ehp0qSJZM+eXWJjYz3ug1qD7svUqVMz3VZCSPCgp0wT4pPi5d7v73VkWeaOzi1/PfyX1CpSy2zTCCEBiB/q0qWLNG7cWL744guv+3311VfSrl07x7Y3AZfZ6BSQroututhJAgtFmQYkJCVI1x+6yu+7flfbOSJzyOwHZ0v9YvXNNo0QEgCGDRumHidOnJjmfhBhRYoUESsREREhDRo0EB3QxVZd7CQhNny5aNEi6dChgxQrVky54mfOnJnm/gsWLPDowj9+/LiEcqX+h2c87CgMmy0im/z2wG/SuGRjs00jhGQyffr0kQIFCkjDhg3lyy+/VHPdpsX169fl4sWLLgtITEx0LMnJyaoNj57aEWyeVntCQoKcOXPG0e68LxbYiMXXduDebgS8u9vord3bOWH/8+fPp3pNY//IyEhJlihJTE5Z7PaUS6Sx/V+7TfDWp26H7TbHNo5lzGHpzzlh37Nnz6r3NlCfk/HeEmtjqqfsypUrUqtWLXn00Uflnnvu8fn/duzYIblz53ZsFypUSEJ1LstHf35Upm2Zprajw6Pll26/SIsyLcw2jRCSyQwfPlxuvfVWFXf2119/ydNPPy2XL1+Wvn37ev2fUaNGObxwzqxbt05y5Mih1gsWLCjly5eXffv2yalTpxz7lChRQi07d+6UCxcuONrLlSun+tzNmzfLtWvXlICA0IFQzJ8/vzq2c9ZgzZo1lTDBXI7OoA4Xhm2RZeg8ZAcPEV5v+/btjvZs2bKpa8Xp06dl7969jvY8efJI1apV5ejRo3L48GFHu7dzKlq0qBw7dkxy5colly5dcjkngGvRmbACsuZoSnuVAlMkNmavrDveT5KS/5sgvGbhTyUq/KKsOTrQ9ZyKjZb4pNyy8URvtX0hTKRfv5TSFv6cU8WKFWXDhg0SExPjmLf4Rj8nXG+J9bHZ07vVyiTwxZsxY4Z06tQpTU9Zq1at5Ny5cxmOpcCdIr70+PI6CzsrCrLev/aWz9d9rrYjwyJlZteZckfFO8w2jZAbRpff4Y3w0ksvydtvv53mPtu2bZMqVao4tjF82b9/fyVy0uP1119XMWaHDh1K01OGxfl9L1mypPJsGe97WFiYWuBZMbwrzu2G58ZbOx7Xrl2rRBY8Te4eGSM2yr28g7d2DN0Zx3W+PmB/dxu9tXs7J6zD1jp16rjEbGHf9evXS6NGjWTZFJvUrvqvjbZEsdmSldfLxXZbAnxfkmR3b4cAs0mSPVJtr98m0vQBkeXLl6vX9PWccP6rV6+WunXrOuy80c8Jnz1Ecyj/5kIBLWPKateurTqa6tWry9ChQ6Vp06Z+dUpWBz+gvn/0dQgyzGX5fZfvKcgI0Yjnn39eevbsmeY+hocmI9x8880yYsQI1b9FR0d73Aftnp6D8MHijHER9zXg3LndCCUxju0Jf9pxLE/t3mz0td0QjLDd0/ExXIi9I9wOFRHmuZBrhBJh7tgd7TiMUQPWn3OCnYZoC9Tn5O39J9ZCq08JrucJEyaoOzJ0RJ9//rm0bNlSVq5cqe4o/HHfW5kX/35Rxq8er9bDbGHy7T3fSqcq3j2IhBDrgeEmLMECnp28efN6FWSZBcQDhuIMUWZldLFVFztJFhdllStXVosB6vrs2bNH3n//fZk8ebLH/xk8eLA899xzqdz3VmXm9pkyetlotW4Tm0zsOFHur36/2WYRQoLIwYMHVWA3HjHcBMEFKlSoIDlz5pRff/1VTpw4oYbXEGc0Z84cefPNN+WFF14w23TliUFslA7oYqsudpIsLso8geDSJUuWeH3em/veipy6ckp6z0oJEAXj2o+Th2s9bKpNhJDgg/iwSZMmObYRfwTmz5+vRgMQqzV+/HgZMGCACm+AWBszZoz06tVLzAbxTQhWR1aop2E1K6GLrbrYSQKP9qIMd5QY1tQddLRP/vaknLxyUm3fXfluebrB02abRQjJBBDgn1aNMhSMdS4aazUBgezBfPnyWV5A6GKrLnaSEBNlSOfevXu3YxupvhBZ+CKWKlVKDT0eOXJEvv76a/X8Bx98IGXLlpVq1apJXFyciimbN2+eSg/XnSmbp8hP235S6/mz5ZdP7/qU8QSEEEJIFsJUUYa6NShxYWDEfvXo0UPdNaKeDGIsDFDTBhlNEGqo1YP6N3///bfLMXTkyMUj0uf3Po7tT+78RIrktFbVbkIIIYSEsChDrERaZdLc3fmDBg1SSyiB83/818flfFxKXaKu1btKl2pdzDaLEEJ8Ah591JzTwbOvi6262EkCj/YxZbrz+drPZfbu2Wod3rHxd6SUwiCEEB1ApiCq6uuALrbqYicJPIwgNJF95/bJc3/9V67j8w6fS75s+Uy1iRBC/A1KxxRHzlXmrYoutupiJwk8FGUmTqPU8+eecjn+stp+rM5jcmelO802ixBCQlZA6GKrLnaSwENRZhJjV46VRQcWqfXSeUrLmLZjzDaJEEIIISZCUWYC209vl8FzBzu2v+r4leSO5gSxhBBCSFaGoiyTSUxOlO4zuktcYpza7tuwr7Qqq3dJD0JI1gXFTTHHpw5FTnWxVRc7SeBh9mUm8/aSt2X10dVqvVL+SjKq9SizTSKEkAwD4VC+fHnRAV1s1cVOEngowzOR9cfXy7CFw9R6mC1MJnWaJNkjs5ttFiGEZBgEo+/Zs0eLoHRdbNXFThJ4KMoyieuJ19WwZUJygtp+semL0qhEI7PNIoSQGwLC4dSpU1oICF1s1cVOEngoyjKJV+e9KptOblLrNQvXlCEthphtEiGEEEIsBEVZJjBv3zx5b/l7aj0yLFK+7vS1REdEm20WIYQQQiwERVmQOXvtrBq2tEvKHJ9v3vam1CpSy2yzCCEkYEHpJUqU0CJTUBdbdbGTBB5mXwZ5svHes3rLkUtH1PatZW+V5xr/N60SIYTojiEgdEAXW3WxkwQeyvAgMmnDJPlh6w9qPW9MXpVtiaxLQggJFZKSkmTbtm3q0eroYqsudpLAQ4UQJPac3SPP/vGsY/uzDp9Jidy88yGEhN6IwIULF9Sj1dHFVl3sJIGHoixIVfsfmvGQY7LxR2o/IvfddJ/ZZhFCCCHEwlCUBYE3Fr0hKw6vUOvl85aXD9t9aLZJhBBCCLE4FGUBZvmh5TJi0Qi1Hm4Ll2/u+UZyRecy2yxCCAlaUHq5cuW0yBTUxVZd7CSBh9mXAeTi9Yvy4E8PSrI9pQrz6y1eZ9V+QkhIA+FQqFAh0QFdbNXFThJ4KMMDSN8/+sq+8/vUepOSTeTlZi+bbRIhhAQVZAhu2LBBi0xBXWzVxU4SeCjKAsT0LdNVCQyQKyqXTO48WSLC6IgkhIQ2yBC8du2aFpmCutiqi50k8FCUBYBDFw7JE7OecGx/dMdHUi5vOVNtIoQQQoheUJTdIIgf6zGzh5yPO6+27692vzxc82GzzSKEEEKIZlCU3SCfrP5E5u+fr9ZL5i4pn9z5idhsNrPNIoSQTCE8PFyqVKmiHq2OLrbqYicJPAx6ugESkhLk7aVvO7a/7vy15M2W11SbCCEkM8FNaGxsrOiALrbqYicJPPSU3QDTt06XQxcPqfUOlTpIyzItzTaJEEIylcTERFm9erV6tDq62KqLnSTwUJRlEGTFvLf8Pcf2842fN9UeQggxC51KN+hiqy52ksBCUZZBFh5YKGuPrVXr9YrWk+alm5ttEiGEEEI0hqIsg7y77F0XLxmD+wkhhBByI1CUZYBtp7bJb7t+U+ul8pSS+266z2yTCCGasn//fnnsscekbNmyki1bNilfvrwMGTJE4uPjXfbbuHGjNGvWTGJiYqRkyZLyzjvviBVAhmDNmjW1yBTUxVZd7CSBh9mXGWDM8jGO9X4395PI8EhT7SGE6Mv27dslOTlZPv30U6lQoYJs3rxZevXqJVeuXJF3303xyF+8eFHatGkjrVu3lgkTJsimTZvk0UcfVRl6TzzxX+Fqs4iKihJd0MVWXewkgYWeMj85cfmETN44Wa3njs4tj9d93GyTCCEa065dO/nqq6+U6CpXrpzcfffd8sILL8hPP/3k2Ofbb79VnrMvv/xSqlWrJl27dpW+ffvKmDH/3SCaGZC+Zs0aLQLTdbFVFztJ4KGnzE8+Xv2xXE+6rtafqPuEEmaEEBJILly4IPny5XNsL1++XJo3b+7iPWnbtq28/fbbcu7cOcmb13N9xOvXr6vFAB43gFILRrmFsLAwtcBbh8XAaIcwcJ6D0b3deDT2cS/jYAzBuQsMb+0RERGO4xogZhf7u9vord3bORnr7q+JfUFkZKRs22cT4z9skijYShZXr5VNEpCDL/ZU7RhytoldUkZPduyDxyvlOX/OydP+N/o5sbyGHlCU+cHVhKsyfvV4tY7Jxvve3NdskwghIcbu3btl3LhxjqFLcPz4cRVz5kzhwoUdz3kTZaNGjZJhw4alal+3bp3kyJFDrRcsWFDFse3bt09OnTrl2KdEiRJq2blzpxKJBvDmFSpUSA2zGpNmnz9/Xgm+/Pnzq2M7iwnERkFMwvPjTP369ZX3D7FyBhApDRo0UK+HYV0DxNrVqlVLTp8+LXv37nW058mTR6pWrSpHjx6Vw4cPO9q9nVPRokUd7/GlS5dczqlAgQLyxBO9ZNv5vLJtXUr7lClT1OsNHNjPRRBjqBnnO3DgQJdzGj16tOTOnVt69+7taHvuuUR1bH/OqWLFihIXFydr1651iLQb/ZwwHE6sj82exaahxw8JX3p8efHj8YcJaybIU789pdYfqPGAfHvPt0GykpDQ5kZ+h7rw0ksvKU9WWmzbtk1Np2Nw5MgRadGihbRs2VI+//xzRzuGNiHKIAYMtm7dqoYy8Qhh4qunDEkCZ86ccbzvgfCUQTxAZMHTZHVPGWytU6eOSxC9sT+SLiCSnI+PxfkYRjtwv3x6aocgK1OmjF/nhH1RPLZu3boOO2/0czJEcyj/5kIBesr8mHjcOcCfxWIJIWnx/PPPS8+ePdPcB94MA3h7WrVqJU2aNJHPPvvMZb8iRYrIiRMnXNqMbTznjejoaLW4A+GDxRnjIu6OtwxAo93wbhnb7sd1fk1f2yFMPLV7s9HXdogTiEfY6qmMEcQTlmDgzznBTuM9dbczo5+Tt/efWAtTA/0XLVokHTp0kGLFiqkv3syZM9P9nwULFqi7B3Q0yFSaOHFiptj6645fZdfZXWq9VZlWUrdo3Ux5XUKInmC4CV6wtBZjSAweMnjH6tWrp4L+3S+6jRs3Vv1lQgJimVKYM2eOVK5c2evQZWbiXr7Dyuhiqy52khASZRjjxpj6+PEpcVrpgbH0O++8U91Nrl+/Xvr37y+PP/64/Pnnn0G3lVMqEUKCgSHISpUqpeLIEC+EODEsBg888IAScKhntmXLFpk2bZp8+OGH8txzz4nZYHgMcWE6ZArqYqsudpLAY6o/s3379mrxFdTnQVzFe++lCCTEUSxZskTef/99lYkULFYdWSWLDy5W61UKVJH2FX23mRBC0gIeLwSeY0HAtjNGjBDi7/766y/p06eP8qYhTun111+3RI0yQkjg0GqQGWnhKJ7oDMQYPGaZ6SULs7G8GyEkMCDuLL3YMyOLcfHilJtDQkhoopUogzvfSAM3wDaySpDyixRjX+v0+Mr+8/vlh60/qPVCOQrJQzUfyrD9hBASiug0HZAutupiJwksIe/yQZ0euP6NBeng/vDhig9V5iXo06CPxETEBMlSQgjRD2T1IVNQh+w+XWzVxU6SxUWZt7Rw1Fzx5CUDgwcPVnVZjOXQoUM+v975uPPy+bqUWkEQY083ePoGz4AQQkILo3isDiUvdbFVFztJFhdlSAufO3duqiBZtHsDpTMg2pwXX/nsn8/kcvxltd6zVk8pkL3ADVhPCCGhBzIEUaleh0xBXWzVxU4SYqLs8uXLqrQFFqPkBdYPHjzo8HJ1797dsf+TTz6ppqMYNGiQ+sJ+/PHH8v3338uAAQMCblt8UryMXTlWrdvEJgMaB/41CCGEEEIsIcowFxqmu8ACUHMH60j1BseOHXMINIByGL/99pvyjqG+GUpjYCqSYJTDmLZ5mhy5dESt3135bqmUv1LAX4MQQgghxMDUKEIUTExrzNxTtX78Dya8DSawicViCSEkfTAbC2J6PU1bZDV0sVUXO0ngYWqHB/ad36dKYYAGxRrILaVuMdskQgixbOkGjFzogC626mInCTwUZR4ol7ecHBpwSL5c96VUzF+RdyuEEOKF5ORkOX36tJplwNNE2VZCF1t1sZMEHooyL+SKziX9GvUz2wxCCLE0EBBIwMqXL5/lBYQutupiJwk8/LQJIYQQQiwARRkhhBBCiAWgKCOEEJJhEHOLKex0iL3VxVZd7CSBhzFlhBBCbihTsGrVqqIDutiqi50k8NBTRggh5IaC0g8fPqwerY4utupiJwk8FGWEEEKyhIDQxVZd7CSBh6KMEEIIIcQCUJQRQgghhFgAijJCCCEZBsVNCxYsqEWRU11s1cVOEniYfUkIISTDQDiUL19edEAXW3WxkwQeynBCCCEZBsHoe/bs0SIoXRdbdbGTBB6KMkIIIRkGwuHUqVNaCAhdbNXFThJ4KMoIIYQQQixAlosps9vt6vHixYtmm0JIlsX4/Rm/R6Jv/5eYmChXrlxRx4yIsPYlRRdbg2Enf3N6YN1vZZC4dOmSeixZsqTZphCS5cHvEXP8kcyB/R/hb87a2OxZTDZjjP7o0aOSK1eudCd7xZ0FOq9Dhw5J7ty5RWd4LtYkq54Luh1cHIoVK8a0f4v2f6H4HdbF1mDYyd+cHmQ5Txm+jCVKlPDrf/CjsPIP2B94LtYkK54L79b16P9C8Tusi62BtpO/OetDuUwIIYQQYgEoygghhBBCLABFWRpER0fLkCFD1KPu8FysCc+F6I5On7sutupiJwk8WS7QnxBCCCHEitBTRgghhBBiASjKCCGEEEIsAEUZIYQQQogFoCgjhBBCCLEAFGVeGD9+vJQpU0ZiYmLk5ptvllWrVoluDB06VFXtdl6qVKkiurBo0SLp0KGDqkAN22fOnOnyPHJUXn/9dSlatKhky5ZNWrduLbt27RIdz6Vnz56pPqt27dqJFRk1apQ0aNBAVYUvVKiQdOrUSXbs2OGyT1xcnPTp00fy588vOXPmlHvvvVdOnDhhms0kc0Cf6f49fuutt8QK6NCn695nkxuHoswD06ZNk+eee06lJK9du1Zq1aolbdu2lZMnT4puVKtWTY4dO+ZYlixZIrqACXnx3qMz9cQ777wjY8eOlQkTJsjKlSslR44c6nOCINDtXABEmPNnNWXKFLEiCxcuVIJrxYoVMmfOHElISJA2bdqoczQYMGCA/PrrrzJ9+nS1P6b2ueeee0y1m2QOw4cPd/keP/vss2abpFWfrnOfTQIASmIQVxo2bGjv06ePYzspKclerFgx+6hRo+w6MWTIEHutWrXsoQC+qjNmzHBsJycn24sUKWIfPXq0o+38+fP26Oho+5QpU+w6nQvo0aOHvWPHjnYdOXnypDqnhQsXOj6HyMhI+/Tp0x37bNu2Te2zfPlyEy0lwaZ06dL2999/3241dOnTQ6nPJhmDnjI34uPj5Z9//lFDYc7zxWF7+fLlohsYzsOQWbly5eTBBx+UgwcPSiiwb98+OX78uMvnhHndMCyh4+cEFixYoIYDK1euLE899ZScOXNGdODChQvqMV++fOoRvx94z5w/GwzBlCpVStvPhvgOhisxbF2nTh0ZPXq0JCYmmmqPbn16qPbZxDey3ITk6XH69GlJSkqSwoULu7Rje/v27aITECgTJ05UF3m4wYcNGybNmjWTzZs3q3ggnYEgA54+J+M5ncDQJYb3ypYtK3v27JGXX35Z2rdvry4a4eHhYlWSk5Olf//+0rRpU6levbpqw/sfFRUlsbGxIfHZEN/p27ev1K1bVwn0ZcuWyeDBg1XfM2bMGNNs0qlPD+U+m/gGRVkIg4u6Qc2aNdUPvnTp0vL999/LY489ZqptxJWuXbs61mvUqKE+r/Llyyvv2W233SZWBbFluGAw7iV0eemll+Ttt99Oc59t27YpbyjitgzwHYY47927t0oO4ZRB6cM+m1CUuVGgQAHlmXDPFMN2kSJFRGfguahUqZLs3r1bdMf4LPC5IPvSANu1a9cW3cHQBb6L+KysKsqeeeYZmTVrlsosLVGihMtngyGj8+fPu3jLQuE3lBV5/vnnVXZwet9XT0BUYPhy//79yvtjBjr36aHUZxPfYEyZG7izq1evnsydO9dliAbbjRs3Fp25fPmyGhpzFjG6gmE+dKjOn9PFixdVFqbunxM4fPiwiimz4meFXAUIshkzZsi8efPUZ+EMfj+RkZEunw1KZiA2JhQ+m6xGwYIFlRcsrQX9pifWr1+v4rcQK2kWOvfpodRnE9+gp8wDcMH36NFD6tevLw0bNpQPPvhApfs/8sgjohMvvPCCqo0F9zdKEiAdHHeM3bp1Ex1Ah+R8h4jgfnTyiFdB0Dhimd544w2pWLGiEgavvfaaCpBF3SydzgULYkdQywtCE53woEGDpEKFCipt34pDlt999538/PPPKs7FiBNDogXqxeERQy34HeHccufOrcoi4ALYqFEjs80nQQLxj7gpatWqlfpeYBulUR566CHJmzevqbbp0qfr3meTAJDBrM2QZ9y4cfZSpUrZo6KiVDr1ihUr7Lpx//3324sWLarOoXjx4mp79+7ddl2YP3++KqPgvqB8hFEW47XXXrMXLlxYlcK47bbb7Dt27LDrdi5Xr161t2nTxl6wYEFVSgJlBXr16mU/fvy43Yp4Og8sX331lWOfa9eu2Z9++ml73rx57dmzZ7d37tzZfuzYMVPtJsHln3/+sd988832PHny2GNiYuxVq1a1v/nmm/a4uDi7FdChT9e9zyY3jg1/AiHuCCGEEEJIxmFMGSGEEEKIBaAoI4QQQgixABRlhBBCCCEWgKKMEEIIIcQCUJQRQgghhFgAijJCCCGEEAtAUUYIIYQQYgEoykjIUqZMGVW5mxBCCNEBijISEDBhsTG9UcuWLdUUSJnFxIkTXSa+Nli9erU88cQTmWYHIST42Gw2mTlzplrHROfYxpRlVqZ58+ZqarLMJj4+Xt2crlmzJtNfm2QMijJiWdCh3OhEytmzZw+YPYToTFJSkjRp0kTuuecel/YLFy5IyZIl5ZVXXhHdgN3Hjh2T6tWrW9bL/ssvv8iJEyeka9euYsZk7JhP88UXX8z01yYZg6KMBNxjtnDhQvnwww/VHSwW3M2CzZs3S/v27SVnzpxSuHBhefjhh+X06dOO/4WH7ZlnnlFetgIFCjgm4x4zZozUqFFDcuTIoTrhp59+Wk3wDRYsWKAmFcaFxXi9oUOHeuxYDx48KB07dlSvj0my/+///k91lgb4v9q1a8vkyZPV/2JibXSkly5dyrT3j5BggYmt4VWePXu2fPvtt452TBaPieMx+bVuN2Q4pyJFikhERIRYlbFjx6o+KizMnMvtgw8+KEuWLJEtW7aY8vrEPyjKSECBGGvcuLH06tVL3cFigZA6f/683HrrrVKnTh3lSseFAYIIwsiZSZMmqbu7pUuXyoQJE1QbOjN0bOhU8Py8efNk0KBB6jnc+UN4QWQZr4c7Q3eSk5OVIDt79qwSjXPmzJG9e/fK/fff77Lfnj171NDIrFmz1IJ933rrraC+Z4RkFpUqVVLfZwgx/FZ+/vlnmTp1qnz99dfqd+eNw4cPS7du3ZR4w81R/fr1ZeXKlY7nP/nkEylfvrw6RuXKldWNjTO+3hB9/vnnUrZsWYmJiVHtu3btUkN/2L7pppvU79YZ9+FL3KRhe+7cucpGeMrRR+zYscPlNw5bcGMIexo0aCB///23y83hgQMHZMCAAY4bPQOIm2bNmkm2bNlUv9a3b1+5cuWK1/ft1KlTqr/q0KGDSzuO+emnn8pdd92lbKxataosX75cdu/erV4f7zHshq3u79GXX34ppUqVUrbjBhUe0HfeeUeJ00KFCsnIkSNdXitv3rzStGlT9TkTDQjApOaE2Hv06GHv2LGjWm/RooW9X79+Ls+PGDHC3qZNG5e2Q4cO2fEV3LFjh+P/6tSpk+5rTZ8+3Z4/f37H9ldffWXPkydPqv1Kly5tf//999X6X3/9ZQ8PD7cfPHjQ8fyWLVvU669atUptDxkyxJ49e3b7xYsXHfsMHDjQfvPNN/v8PhBidZKTk+0tW7a033bbbfZChQqp32ZaXLp0yV6uXDl7s2bN7IsXL7bv2rXLPm3aNPuyZcvU8z/99JM9MjLSPn78ePVbfu+999Rvbd68eer5pKQke+3ate233HKLfc2aNfYVK1bY69Wrp37vBvjt5ciRw96uXTv72rVr7Rs2bFD/V716dWXn+vXr7QsXLlT9A36zM2bMUP+3b98+tb1u3Tq1PX/+fLWN3+yCBQvUbxx2N2nSxPFaONaECRPsmzZtsu/cudP+6quv2mNiYuwHDhxQz585c8ZeokQJ+/Dhw+3Hjh1TC9i9e7eyEX0K/m/p0qXKnp49e3p97/De4H9wLs7AxuLFi6v3Ee9Zp06d7GXKlLHfeuut9tmzZ9u3bt1qb9SokXo/nN+jnDlz2u+77z51Xr/88os9KirK3rZtW/uzzz5r3759u/3LL79Ux8Z77MyLL77o8n4T60JRRjJFlKEjQceNDsp5QQfy+++/O/7v8ccfT3XsOXPmqM6qWLFiqlNCB4r/u3Llis+i7MMPP1SdnjuxsbH2SZMmOTq9m266yeX5MWPG2MuWLXsD7wwh1mPbtm3qN1SjRg17QkJCmvt++umn9ly5cimx4gkInl69erm0denSxX7HHXf4dUOE/uHkyZOOff788097RESE/ciRI462P/74wydR9vfffzv+57ffflNt165d83qO1apVs48bN85j32Hw2GOP2Z944gmXNojUsLAwr8fGMSBo3YE9EIMGy5cvV21ffPGFo23KlCmqrzPwdNMIQYZ+zVn0Va5c2T5q1CiX1/PW/xHrweFLkikgBgwufAwzOC/G8IQB3PbuwxNw8desWVN+/PFH+eeff2T8+PEBSQTwRGRkZKphBgx9EhJKYAgMw2b79u1TQ5MGTz75pBoWMxaA3ynCDjB06Ylt27ap4TFnsI1243kM9WExwFAkMqaNfUDp0qVVco7zcfE/xYoVc7QhNMIX0F8YFC1aVD2ePHnS0RchxAFDhrAB54nXwhBrWmzYsEHF5Dm/P4h7Rf+A99ET165dcwzFpmUjhlIBYmed2+Li4uTixYuONsS65sqVy2UfvJfO8WpoM87VAMOtV69eTfP8iDWwbnQk0RbElSDOwZm6desqUYVOxZ+gXIgwdHrvvfeeo+P5/vvv0309d9ABHzp0SC3GxWHr1q0q1g2dGiFZhWXLlsn7778vf/31l7zxxhvy2GOPqZgq3IAMHz48VUwmLuiZgfsNWaBuroyYMOPmCueH2LR3331XKlSooM7vvvvuS/cmD2Kud+/eKo7MHcR4eQIJS+fOnfPZxrTsdn/e2MeXG0nE0joLXmJd6CkjAQfCC0HA8HIhuxIdRJ8+fVTHgGBh1A9DAOuff/6pspLSElToNBMSEmTcuHEqMB8BxEYCgPProcNEcC9ez9MdYevWrdVdKDKR1q5dK6tWrZLu3btLixYtVEAwIVkB/DaQIf3UU09Jq1at5IsvvlC/BeM3hUBx/OaMxfDowFuG36+3Gx4k5jiDbeNmx/mGyMCXGyLj/5CQYLBixYobfAdSbMN70LlzZ9UnIEDeyBBP78YSdju/P8biLUkCHsbjx497FWaZBTLfYQuxPhRlJODgThSp6uhwcXeGYQEMQaAzREfXpk0b1Rmi9AWGD9JKFa9Vq5YqifH222+rWkRI5R81apTLPshSwrALMinxeshEcgd3j8g0QyYShksh0sqVKyfTpk0LyntAiBUZPHgw4ogdGcW4oYHHCNnM7sLEADdSEC4oDo3fMG6O4PVGtiAYOHCgGtZDBibCEfB7/emnnxwet4zeEOH/kC3ao0cPNXS4ePHigNRSq1ixorIPQhPHfeCBB1J5lvC+LFq0SI4cOeIo24NaX/AyomyPEXqBPgXb3oAQgrfMXbRmNnjv0O8SDTA7qI0QQkjwQTYiAu4RnO4OMqORTIPMTE/s37/ffu+999pz586tgs3r169vX7lypeP5jz/+WAW0I1i/UqVK9q+//trl/5HZePfdd6vkHiQNIBHg+PHjLkHstWrVSvW6yExE1iayDHFcZCb6Euh/7tw5xzHwHNqwr/E/rVq1smfLls1esmRJ+0cffZQqOQmB9zVr1rRHR0er/zVAYsLtt9+uEo5wLthn5MiRab7vgwYNsnft2tWlzfkcPJ2Hp3Px9B45J1gZuJ8LsmSR0HT16tU07STWwIY/ZgtDQgghJBTB8GW1atWUlxDJDJkNRhAw4vDyyy9n+msT/+HwJSGEEBIkMPSL2L30sjuDAZIXMHSMQrhED+gpI4QQQgixAPSUEUIIIYRYAIoyQgghhBALQFFGCCGEEGIBKMoIIYQQQiwARRkhhBBCiAWgKCOEEEIIsQAUZYQQQgghFoCijBBCCCHEAlCUEUIIIYSI+fw//w+p8srWso8AAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot the results of the optimization including the optimization trajectory and the resulting patch geometry\n", - "# compared to the initial state\n", - "plot_optimization_results(\n", - " figure_of_merit_single_patch,\n", - " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", - " params_to_boxes_single_patch(patch_init_wh),\n", - " params_to_boxes_single_patch(patch_wh),\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "db56f731f5144cc9bf62e0dc76e9f1b6", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
16:32:30 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:32:30 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
16:32:31 EDT Maximum FlexCredit cost: 0.172 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:32:31 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.172\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e903dbff593e4eb3a479d3efd1eb1ebb", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9b806b5076ae41189eb2e732d0d48abd",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a15b846e67144edca373aecd0a4c92f0",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
16:32:43 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:32:43 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
16:32:44 EDT Maximum FlexCredit cost: 0.172 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:32:44 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.172\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "88f7e11316da44dd9d2461d5ceca42ee", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7939c753793e4f56bd3c3afb77154b3a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Helper function for evaluating antenna performance for a single patch\n", - "evaluate_single_antenna = lambda patch_wh, eval_s_params_freqs, opt_freqs: (\n", - " evaluate_antenna(\n", - " params_to_boxes_single_patch(patch_wh),\n", - " eval_s_params_freqs,\n", - " opt_freqs,\n", - " sub_x_single_patch,\n", - " sub_y_single_patch,\n", - " )\n", - ")\n", - "# Compute S11 and directivity for the inital patch geometry\n", - "s_matrix_init, sim_data_init, theta = evaluate_single_antenna(\n", - " patch_init_wh, freqs_s_params, opt_freqs_single_patch\n", - ")\n", - "# Compute S11 and directivity for the optimized patch geometry\n", - "s_matrix_final, sim_data_final, theta = evaluate_single_antenna(\n", - " patch_wh, freqs_s_params, opt_freqs_single_patch\n", - ")\n", - "# Plot the comparison in S11 and directivity for the initial and optimized antennas\n", - "plot_antenna_comparison(\n", - " [s_matrix_init, s_matrix_final],\n", - " [sim_data_init, sim_data_final],\n", - " opt_freqs_single_patch,\n", - " theta,\n", - " [\"before optimization\", \"after optimization\"],\n", - ")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Expanding the Design Space: Optimizing a Patch Antenna with Coupled Passive Radiators\n", - "\n", - "In the next optimization, we optimize a patch antenna with larger bandwidth. The appropriate choice of patch width and height for a single radiator doesn't typically require an advanced optimization technique. Based on the patch antenna operating principle, initial values for these parameters can be found and small tweaks or even parameter sweeps can identify geometries with the desired resonant behavior. By optimizing via the adjoint method in the single patch example, we validated we could also optimize the geometry via gradients. In cases where there are not intuitive solutions or we would like to take advantage of a larger number of degrees of freedom, the adjoint method becomes increasingly useful. Below, we add passive radiating structures that couple to the central patch and optimize both their geometries and their relative position to the central patch. The degrees of freedom are indicated in the diagram below, but in summary we move the 2-dimensional patch antenna optimization to one with 14 dimensions. Here, we utilize gradients computed via the adjoint method to optimize a figure of merit for broader band radiation.\n", - "\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "num_passive_radiators = 3\n", - "\n", - "# set min/max patch dimensions for the central and all surrounding patches\n", - "min_patch_dimensions_mm = sum([[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], [])\n", - "max_patch_dimensions_mm = sum([[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], [])\n", - "\n", - "# set min/max gap between central patch and each surrounding patch\n", - "min_gap_mm = [1*mm for idx in range(0, num_passive_radiators)]\n", - "max_gap_mm = [5*mm for idx in range(0, num_passive_radiators)]\n", - "\n", - "# set min/max offset of each surrounding patch center relative to the central patch center\n", - "min_offset_mm = [-8*mm for idx in range(0, num_passive_radiators)]\n", - "max_offset_mm = [8*mm for idx in range(0, num_passive_radiators)]\n", - "\n", - "# combine all the min/max values into clipping arrays to use in the optimization\n", - "clip_min_values = min_patch_dimensions_mm + min_gap_mm + min_offset_mm\n", - "clip_max_values = max_patch_dimensions_mm + max_gap_mm + max_offset_mm\n", - "\n", - "# set initial patch sizes, gaps, and offsets\n", - "min_dim_avg = 0.5 * (patch_min_width + patch_min_height)\n", - "init_passive_wh = [\n", - " min_dim_avg,\n", - " 0.5 * (patch_min_height + patch_max_height),\n", - " 0.5 * (patch_min_width + patch_max_width),\n", - " min_dim_avg,\n", - " min_dim_avg,\n", - " 0.5 * (patch_min_height + patch_max_height),\n", - "]\n", - "\n", - "init_gap_sizes = [2 * mm for idx in range(0, num_passive_radiators)]\n", - "\n", - "init_offset_coord_locations = [0.5 * patch_init_wh[1], 0.0, 0.5 * patch_init_wh[1]]\n", - "\n", - "# start the central patch at teh same initial width/height as in the single patch case\n", - "init_params = list(patch_init_wh.copy())\n", - "init_params += init_passive_wh\n", - "\n", - "init_params += init_gap_sizes\n", - "init_params += init_offset_coord_locations\n", - "\n", - "assert num_passive_radiators == 3, \"The multi patch optimization is set up specifically for 3 passive radiators.\"\n", - "\n", - "def params_to_boxes_multi_patch(params):\n", - " \"\"\"\n", - " Unpack the multi-patch optimizatin parameters into patch geometries for the central\n", - " patch and the surrounding passive radiating patches.\n", - " \"\"\"\n", - " num_params_wh_central = 2\n", - " wh_central = params[0:num_params_wh_central]\n", - "\n", - " wh_passive_params = params[num_params_wh_central:]\n", - " num_params_wh_passive = 2\n", - "\n", - " wh_passive = []\n", - " for idx in range(0, num_passive_radiators):\n", - " wh_passive.append(wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)])\n", - " \n", - " gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators:]\n", - " gaps = gap_params[0 : num_passive_radiators]\n", - "\n", - " offset_params = gap_params[num_passive_radiators:]\n", - " offset_coords = offset_params[0:num_passive_radiators]\n", - " \n", - " left_central = -0.5 * wh_central[0]\n", - " right_central = 0.5 * wh_central[0]\n", - "\n", - " left_passive_patch_idx = 0\n", - " top_passive_patch_idx = 1\n", - " right_passive_patch_idx = 2\n", - "\n", - " left_passive_right = left_central - gaps[left_passive_patch_idx]\n", - " left_passive_left = left_passive_right - wh_passive[left_passive_patch_idx][0]\n", - " left_passive_bottom = offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n", - " left_passive_top = offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n", - "\n", - " top_passive_bottom = wh_central[1] + gaps[top_passive_patch_idx]\n", - " top_passive_top = top_passive_bottom + wh_passive[top_passive_patch_idx][1]\n", - " top_passive_left = offset_coords[top_passive_patch_idx] - 0.5 * wh_passive[top_passive_patch_idx][0]\n", - " top_passive_right = offset_coords[top_passive_patch_idx] + 0.5 * wh_passive[top_passive_patch_idx][0]\n", - "\n", - " right_passive_left = right_central + gaps[right_passive_patch_idx]\n", - " right_passive_right = right_passive_left + wh_passive[right_passive_patch_idx][0]\n", - " right_passive_bottom = offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n", - " right_passive_top = offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n", - "\n", - " boxes = [\n", - " td.Box.from_bounds(\n", - " [-0.5 * wh_central[0], 0, sub_z / 2], [0.5 * wh_central[0], wh_central[1], sub_z / 2]\n", - " ),\n", - " td.Box.from_bounds(\n", - " [left_passive_left, left_passive_bottom, sub_z / 2], [left_passive_right, left_passive_top, sub_z / 2]\n", - " ),\n", - " td.Box.from_bounds(\n", - " [top_passive_left, top_passive_bottom, sub_z / 2], [top_passive_right, top_passive_top, sub_z / 2]\n", - " ),\n", - " td.Box.from_bounds(\n", - " [right_passive_left, right_passive_bottom, sub_z / 2], [right_passive_right, right_passive_top, sub_z / 2]\n", - " ),\n", - " ]\n", - "\n", - " return boxes\n", - "\n", - "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", - "plot_structures_and_mesh(\n", - " params_to_boxes_multi_patch(init_params), sub_x_multi_patch, sub_y_multi_patch\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Iteration 1\n",
-       "        Figure of merit: 419853.32\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 1\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m419853.32\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 9\n",
-       "        Figure of merit: 794937.38\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 9\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m794937.38\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 17\n",
-       "        Figure of merit: 1536996.97\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 17\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1536996.97\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 25\n",
-       "        Figure of merit: 2788224.30\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 25\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2788224.30\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 33\n",
-       "        Figure of merit: 3252023.71\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 33\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3252023.71\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 41\n",
-       "        Figure of merit: 3944422.40\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 41\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3944422.40\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 49\n",
-       "        Figure of merit: 4097312.69\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 49\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4097312.69\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 57\n",
-       "        Figure of merit: 4004314.80\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 57\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4004314.80\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 65\n",
-       "        Figure of merit: 4134752.12\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 65\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4134752.12\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 73\n",
-       "        Figure of merit: 4299824.47\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 73\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4299824.47\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# set up the multi patch radiation monitor sizes\n", - "obj_fn_monitor_dim_multi_patch = 2.0 * np.mean(patch_init_wh)\n", - "obj_fn_monitor_center_y_multi_patch = 0.5 * patch_init_wh[1]\n", - "\n", - "multi_patch_optimization_monitors = [\n", - " td.FieldMonitor(\n", - " center=(0.0, obj_fn_monitor_center_y_multi_patch, compute_radiation_z),\n", - " size=(obj_fn_monitor_dim_multi_patch, obj_fn_monitor_dim_multi_patch, 0.0),\n", - " freqs=opt_freqs_multi_patch,\n", - " name=\"radiation_monitor\",\n", - " ),\n", - " # reuse the field monitor from the single patch case\n", - " td.FieldMonitor(\n", - " center=feed_monitor_center,\n", - " size=feed_monitor_size,\n", - " freqs=opt_freqs_multi_patch,\n", - " name=\"feed_reflection_monitor\",\n", - " ),\n", - "]\n", - "\n", - "# set up the objective function for the multi patch optimization that is a function\n", - "# of all of the above width/height, gap, and offset parameters\n", - "obj_fn = lambda patch_params: objective_fn(\n", - " patch_params,\n", - " params_to_boxes_multi_patch,\n", - " sub_x_multi_patch,\n", - " sub_y_multi_patch,\n", - " multi_patch_optimization_monitors,\n", - ")\n", - "\n", - "obj_val_and_grad = value_and_grad(obj_fn)\n", - "\n", - "# initialize patch parameters\n", - "patch_params = anp.array(init_params.copy())\n", - "\n", - "# set up optimization parameters and optimizer\n", - "learning_rate = 60\n", - "optimizer = optax.adam(learning_rate=learning_rate)\n", - "opt_state = optimizer.init(patch_params)\n", - "\n", - "num_steps = 80\n", - "print_iteration_frequency = np.maximum(num_steps // num_optimization_prints, 1)\n", - "\n", - "figure_of_merit_multi_patch = np.zeros(num_steps + 1)\n", - "\n", - "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", - "# at each step and clipping the design on the bounds\n", - "for step_idx in range(0, num_steps):\n", - " f, g = obj_val_and_grad(patch_params)\n", - "\n", - " figure_of_merit_multi_patch[step_idx] = f\n", - "\n", - " updates, opt_state = optimizer.update(-g, opt_state, patch_params)\n", - "\n", - " patch_params = optax.apply_updates(patch_params, updates)\n", - " patch_params = anp.array(patch_params)\n", - " patch_params = anp.clip(patch_params, a_min=clip_min_values, a_max=clip_max_values)\n", - "\n", - " if (step_idx % print_iteration_frequency) == 0:\n", - " # We don't print all of the optimization parameters below to reduce clutter\n", - " output_text = Text.assemble(\n", - " (f\"Iteration {step_idx + 1}\", \"bold cyan\"), \"\\n\",\n", - " (f\"\\tFigure of merit: \", \"bold\"), (f\"{f:.{print_decimal_places}f}\", \"bold green\")\n", - " )\n", - " console.print(output_text)\n", - "\n", - "figure_of_merit_multi_patch[num_steps] = obj_fn(patch_params)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "After the optimization, we can plot some the figure of merit and compare the optimized antenna geometry to the initial antenna geometry. We can see that the optimization made a significant amount of changes to the antenna structure to realize an antenna with a broader operation band." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAokAAAHHCAYAAADTbcKgAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAAqrdJREFUeJztnQd8E+Ufxn9J96IFWjaUvfceCigIgntvQP07AQcucKMibgVFxYW4UdxbRIYMGSJ7j7JXgTK629z/87zh0qQzhTR3yT1fPiGXy/Xyvskl99xv2jRN04QQQgghhBA37O4PCCGEEEIIARSJhBBCCCGkCBSJhBBCCCGkCBSJhBBCCCGkCBSJhBBCCCGkCBSJhBBCCCGkCBSJhBBCCCGkCBSJhBBCCCGkCBSJhBBCCCGkCBSJxGs+/PBDsdlskpKS4rN9Pvnkk2qf/sao1yWEEEICBYrEAGfNmjVy/fXXS+3atSUiIkJq1aol1113nVp/qjz77LPy3XffSaCTkZGhxODs2bONHgohhBAScNjYuzlw+eabb+Saa66RKlWqyM033ywNGjRQVr73339fDh06JF988YVccskl5d5vbGysXH755cpy6E5+fr7k5uYqMeorK1xeXp66RUZGiq9JTU2VpKQkeeKJJ5RY9NfrEkIIIcFAqNEDIKfGli1b5IYbbpCGDRvK3LlzlRjSufvuu+XMM89Uz69cuVJt4wtCQkLUzZeEhoaqm78x6nUJIYSQQIHu5gDlxRdfVO7Ud955x0MggsTERJk8ebKkp6fLCy+84BGDt379ernyyiulUqVKUrVqVSUos7KyXH+LbfB3U6dOVcu4DRs2rMSYxPr168v555+vXLqdO3eWqKgoadOmjcvFC2snHsNi16lTJ/nvv/9KjQ3Ea+mvW/imWwNzcnLk8ccfV/uLj4+XmJgYJYpnzZrl2g/GqL8vY8eOLbKP4mISYVl8+umnpVGjRspairk9/PDDkp2d7bGdPud58+ZJ165d1dwgxD/66KNT/DQJIYQQ80GRGKD8+OOPSqxAHBVH79691fM///yzx3oIRIjC8ePHy+DBg2XixIly6623up7/+OOPlUDCfrGM22233VbqWDZv3izXXnutXHDBBWq/R44cUcuffvqp3HvvvSpmEkIN1k+8vsPhKHFfeC39dfUbYixBtWrV1P2xY8fkvffek759+8rzzz+vBN/Bgwdl4MCBsnz5crUNBOJbb72lluFy1/d16aWXlvja//vf/5T47Nixo7z66qvSp08fNZ+rr7662DnDJX/OOefIyy+/LJUrV1YC93RiQQkhhBBTgZhEElikpaUhjlS76KKLSt3uwgsvVNsdO3ZMe+KJJ9Qy1rlz5513qvUrVqxwrYuJidGGDh1aZH9TpkxR227bts21Ljk5Wa1bsGCBa93vv/+u1kVFRWnbt293rZ88ebJaP2vWLNc6fVwlsWnTJi0+Pl4755xztLy8PLUO99nZ2R7bHTlyRKtevbp20003udYdPHhQ7RuvUZjCr7t8+XL1+H//+5/Hdvfff79a/9dffxWZ89y5c13rDhw4oEVERGj33XdfiXMhhBBCAglaEgOQ48ePq/u4uLhSt9Ofh+VNZ/jw4R7bjBw5Ut3/8ssvpzyeli1bSo8ePVyPu3Xrpu7PPvtsqVevXpH1W7du9Wq/cHvDCggr3eeff+6Kh8R9eHi4WoZV8vDhw8pVDHf3smXLTmkO+vxHjRrlsf6+++5T94UtspizuxUXlstmzZp5PTdCCCHE7ASNSETyBlycKAGDWLNTKeGCRO+XXnpJmjZtqlyuKCszbtw4MRu6+NPFYnnEZJMmTTy2Qfyd3W4/rdqH7kIQIE4Q1K1bt9j1cEd7wy233KJc1N9++62Kn3QHMZNt27ZV8YB4DiINQu7o0aOnNIft27er96Fx48Ye62vUqCEJCQnq+dLmDCBmvZ0bIYQQYnaCJr0TVqd27drJTTfdVGrcWWkgieOPP/5QQhHJFrBQ4WY2ILZq1qypMpdLA89D6CJJpSR8UcqmpIznktZ7U3VpwoQJynr4ySefSPv27T2ewzrE/1188cXywAMPqFhFvBbiByEqTwdv34/TmRshhBASCASNSBw0aJC6lQQyVB955BElPNLS0qR169Yq6QHJD2DdunUq0WH16tXKbQhQd9CsILv23XffVRm2Z5xxRpHn//77b2UdLJx0smnTJo95IQEDLlskuegY3YkEY7///vvlnnvucSWtuDN9+nSVTYzMafexoh6iO+WZR3Jysnof8P60aNHCtX7//v3qeMHzhBBCiJUIGndzWYwYMUIWLlyoCkzDwnbFFVfIueeeq0SBni0M4fHTTz8pEQXRhGxXM1oSASxoKDcDEYjC2e5gzLfffrtER0er7dyZNGmSx+PXX39d3bsLbJSUgTAygr1796oMaAhflPkpzYrnbrVbtGiR+nzdwfyBN3NBpjd47bXXPNa/8sor6v68884r91wIIYSQQCZoLImlsWPHDpkyZYq6R8wigKXqt99+U+vRhg4JB4g7++qrr1S9O3QXQfkWlDn566+/xGwgthBxebC0wTVeuOMKuo3AaoqYQ3e2bdsmF154oRLIEFVw3aJ8DVz1Oqg/+OeffyqBhPcL+9WTTiqau+66S5WzefDBB5WgdwcxiLjBigorIpJaIN4wp7ffflslk5w4ccK1PUQ01k2bNk3FmaIzDSzIuBUG8x86dKiqOwlRifI3ixcvVu8x3NpnnXWWX+ZPCCGEmAVLiMRVq1Yp0QehUNgFrSdEwNWIxxCI+nYQWxBMGzZscLmgzQSsoc2bN1exeLowxHwgaFAEujgxBMGEWoCjR49WHUdgYS1ssYM4RO3ERx99VDIzM5V48pdIhEDEZ1U4y1h3J0MkIh5x3759qmD477//roQgxC4EfuE+zainiAxuCH4U4cY+intf9G1hTUbRcCTLIGllzJgxRdzYhBBCiBUIyt7NiEXDSR4WIF0YweKGQseFEw7QpxhiAEIAFkX0JtaBQILLEsksKJocyKDgNApaQ4ShIwshhBBCiFjdktihQwdlnTpw4ECJHUp69eqlau0hO1Z30W7cuFHdM2mBEEIIIVYjaEQiYtGQqauDODW0aEMcGtzHsCQOGTJEtVCDaIRFbebMmcp9ibi2/v37q3ZsKKGD5AW4n1F4GhbEwm5qQgghhJBgJ2iym5cuXarEH24AMW1YRvwdQIIKRCI6aCC+EK7oJUuWuIoio5AyMpzhikXfYwhHlEIpnDxBCCGEEGIFgjImkRBCCCGEnB5BY0kkhBBCCCG+gyKREEIIIYQEV+IKkkv27NkjcXFxhreSI8SqIGLl+PHjqvA6YnsJIYQEBwEtEiEQ69ata/QwCCEisnPnTqlTp47RwyCEEOIjAlokwoKon5wqVapk9HAIsSTHjh1TF2v695EQQkhwENAiUXcxQyBSJBJiLAz5IISQ4IIBRIQQQgghpAgUiYQQYhLefPNNZZHt1q3bae/rl19+UT3bgxF01BoxYoTqhhUdHa1uLVu2VF2yVq5cKcHCZ599pjqAEWIUAV1MG7FQ8fHxcvToUbqbCTEIfg99B3rIIyEvJSVFNm3aJI0bNz7lfUFETZo0SWWfBxM//fSTXHXVVRIaGqrarbZr105l1a9fv16++eYb2b59uxKRycnJEuicf/75snr1anU8EGIEAR2TSAghwQKEzYIFC5TQue222+TTTz+VJ554wuhhmYotW7bI1VdfrQTgzJkzpWbNmh7PP//888oaa8VSTFlZWRIeHm7JuZOKg0cTIYSYAIjCypUrq77xl19+uXpcGFiU4I5+6aWX5J133pFGjRpJRESEdOnSRfWi1xk2bJiyIgJsr9/ca8zCjdmqVSuJjIyU6tWrK2F65MgRj9erX7++smbNmzdPunbtqrZt2LChfPTRRx7bffjhh2r/8+fPl1GjRklSUpLExMTIJZdcIgcPHvTY9vvvv1dzRF1NjB1zePrppyU/P7/M9+iFF16Q9PR0mTJlShGBCGBdvOuuu4qURoOVEe9plSpV1Bw6d+4sP/zwQ5G/37p1q1xxxRVqO7iwu3fvLj///LPHNrNnz1Zz/fLLL2Xs2LFSu3ZtldmP/cOanp2dLffcc49Uq1ZNYmNj5cYbb1TrCvPJJ59Ip06dJCoqSr0exC8qdej07dtXvTYso/rnh8/DfQxffPGFPProo2oMGO/y5cvV+ldffbXI6+ECBM99/vnnZb7PhLjQApijR4/Cj6LuCSHGwO+hb2jevLl28803q+W5c+eq93Tx4sUe22zbtk2t79Chg9a4cWPt+eef11544QUtMTFRq1OnjpaTk6O2W7BggXbOOeeobT/++GPXTed///ufFhoaqt1yyy3a22+/rT300ENaTEyM1qVLF9c+QHJystasWTOtevXq2sMPP6y98cYbWseOHTWbzaatXr3atd2UKVNc4zr77LO1119/Xbvvvvu0kJAQ7corr/SYw8UXX6zWvfjii9pbb72lXXHFFepv77///jLfo1q1aql5lweMMz4+XmvZsqV6vzCH3r17qzl88803ru327dun5hkXF6c98sgj2iuvvKK1a9dOs9vtHtvNmjVLjbd9+/Zajx49tIkTJ2p33XWX2t/VV1+tXXvttdqgQYO0SZMmaTfccIPaduzYsR5jeuaZZ9T2V111lfbmm2+q5/EZ1q9fXzty5Ija5o8//lCvgfX65/ftt996jAFzwjYY6/jx47X09HStV69eWqdOnYq8D3feeaeaG7YhxFsoEgkhpwW/h6fP0qVL1Xs4Y8YM9djhcCjRd/fddxcrEqtWraodPnzYtf77779X63/88UfXuuHDh6t1hfn777/V+k8//dRj/W+//VZkPUQi1kG06hw4cECLiIhQIrCwSOzfv78au869996rhGJaWpprXUZGRpEx3XbbbVp0dLSWlZVV5nEGkVkYCKuDBw+6bu6v0a9fP61NmzYe+8YYe/bsqTVp0sS17p577lH7x/ujc/z4ca1BgwZKvOXn53sItNatW3sI6muuuUYJPwhEdyAk8T7qpKSkqPdk3LhxHtutWrVKCXf39eedd57H3+roY2jYsGGR93Py5MnquXXr1rnWYZwQm0OHDi3h3SWkeOhuJoQQg4FrGS7fs846Sz2GWxDJGXAnFueGxXNwTeuceeaZLndpWXz11Vcq0eicc86R1NRU1w2uT7hHZ82a5bE9sob1/QO4kps1a1bsa916660ebm38HcYPl6kO3Ks6aOeI18Z2GRkZyi1cWoIUwBgLA9csxqXfdFf74cOH5a+//pIrr7zS9Vq4HTp0SAYOHKiSg3bv3u3KBodL/YwzznDtF6+FOcHNv3btWo/XHDJkiISFhbkeIyMdhpebbrrJYzushxs5Ly9PPUbMKdz9GJP7+1+jRg1p0qRJkfe/NIYOHerxfgLsFy5193CF33//Xb3G9ddf7/W+CQFMXCGEEAOBiIIYhEBE8oq7uHj55ZdVgsaAAQM8/qZevXoej3XBWDimsDggjBA7h5i54jhw4ECpr6W/XnGv5c241qxZo+LoIN504aeDcZWE3tHnxIkTRZ6bPHmyEoH79+/3EEKbN29Wwu2xxx5Tt5Lmi5g+CNniSg+1aNFC3eP51q1blzhXCG9QOB4S6yEKMbeqVauq9x9jgiAsDnfhWRYNGjQosi4hIUEuuOACVT4HsZ4AghFzPPvss73eNyGAIpEQQgwEYmnv3r1KKOJWGJzgC4vEkJCQYvflTbkbCBYIxOISYwAscaf6WmVtm5aWJn369FGlkp566imVtAKr17Jly+Shhx5SYysJiC0kq6AkTGF0cVe4VIy+v/vvv19ZDovjVMsMlTTXst4DjAnW1l9//bXYbYuzlJZEYSuiu5UTFmMkq7Rp00Yl6dx5553MfCblhiKREEIMBGINok13kboD1+S3334rb7/9domCoLxtEiHM/vzzT1WTsbz7PF2QlQtXL+bVu3dv13p3C2ppICv6vffek8WLFyvXcFkgE1u3zvXv37/UbVFWZ8OGDUXW6y5wX9VdxPsPwQgrIIqBV0Sry3PPPVeJfRxbENBw5d9www2nOGJiZXhZQQghBpGZmakEE8rMoIRK4RsKYsONWly5lrJACRrdelc4Zg0ubt0V6Q7i5gpv70t0y5m7FTInJ0fVNvSGBx98UJV6QdwfXMtlWTchvhGvCHc0rLWFcS/PM3jwYCU+Fy5c6FqHcjsoNYTSM4jN9AWXXnqpeh9QPqfwePEYItr9MyzNBV8SKAV0zTXXqDI9KE8Ea2Lbtm19Mn5iLWhJJIQUYdneZTLy15Hy8SUfS8PKTmsM8T0QfxCBF154YbHPo06fbhFCskp5QCIKQN1AuFohTFCLD+5e1EQcP368qqsHVzYsbYiVg4tywoQJSqBWBD179lRxiki4wLhgKfv444+97gqDOD7E2kEAIXlG77iCv4c1Es/BpVqnTh3X38BCi2QUCKVbbrlFWRchMCEGd+3aJStWrFDbjR49WtUQHDRokBobahdOnTpV7ffrr7/2masWlsRnnnlGxowZo9zjF198sYq3xOvAaoxEGbjH9c9w2rRpqvYkamHCFY14Q2+Ay3nixIkqEQZFxgk5JbQAhqU3CPEtmbmZ2ugZo7WQsSGaPCna2VPP9ihpUhz8Hp46F1xwgRYZGVlq7bphw4ZpYWFhWmpqqqsEDmoMFgbrn3jiCdfjvLw8beTIkVpSUpIqzVL45/6dd95R9fSioqJU/TyUiXnwwQe1PXv2uLZB+RWUYSlMnz591K1wCZwlS5YUW6oF9zrz58/Xunfvrl4XdQ/xmr///nuR7Upj8+bN2h133KFqJuL9w75QZ/L222/Xli9fXmT7LVu2aEOGDNFq1Kih3svatWtr559/vjZ9+vQi211++eVaQkKC2m/Xrl21n376qdg5ffXVVx7rS3oP8JlgPUrzuPP1119rZ5xxhqpPiRvGj7JFGzZscG1z4sQJVXcR48E+9HI4JY2hMK1atVJ1Hnft2lXme0pIcbB3MyFEsXDnQrnx+xtlw6GCuKy21dvKjBtmSLWY4jNhAb+HhJiTDh06KIsoMuQJORUYk0iIxcnKy5IHZzwoZ0w5wyUQw0PC5emznpYltywpVSASQszJ0qVLVTgB3M6EnCqMSSTEwmTkZkjvKb3l373/utZ1q91NPrjoA2mZ5JtAfUKI/0CJoH///VfV2ETJoPLGshLiDi2JhFiYMX+OcQlEWA+f6/eczLtpHgUiIQHK9OnT5cYbb5Tc3FyViIM6lIScKoxJJMSizNo2S87+yNmBITI0UhbctEA61OxQ7v3we0gIIcEJLYmEWJDj2cdVkooOLIinIhAJIYQELxSJhFiQR/96VLYf3a6W+yT3kZHdRho9JEIIISaDiSuEWIw9x/fI5H8nq+XosGiVpGK3med68a233lI3vQ9vq1at5PHHH1dFjkFWVpbcd999qs9xdna2KhSNjh3Vq1f3+jXQP3fPnj2qiPGptj4jhJw6iHRDIflatWqxp7SJoUgkxGK8OP9Fyc7PVssjuowwXUcVdMt47rnnVHcNnEjQ9eKiiy6S//77TwnGe++9V37++WfVHQSxkGhdh1Zn8+fP9/o1IBDr1q1bofMghJTNzp07PTrkEHPBxBVCLMSB9ANS/7X6kpmXKVGhUZJyT8pp10H0x/cQBYFffPFF1S4OberQfk1vHbd+/Xpp0aKFarOGNnbegLEmJCSoE1Sw/Xag/zIENQopo4dvMGKFOQb7PPG7gQs19ArH7wcxJ8F11BFCSuXlBS8rgQhu63Sb6Qtl5+fnK4thenq69OjRQ9V/Q2mP/v37u7Zp3ry51KtXr1wiUXcxQyAGm0iEKx19jSGCg9WNZ4U5WmWeDPcwNxSJhFgoFvHNpW+q5YiQCHmg1wNiVlatWqVEIeIPY2Nj5dtvv5WWLVuqDhLh4eHqpOkO4hH37dtX4v4Qu4ibuxVDt9TgBnASxg0nZtx09PUQrO6Ol5LWh4SEqBOfvl/39QDbe7MeliPs13099ovtC4+x8PoaNWq4ng+WORUeI2LZ3J8LhjkVtx6uWOzbfZyBPid97MT8UCQSYpHWe5dOu1RO5JxQj2/ucLPUiqslZgXWEwhCuIVRHHjo0KEyZ86cU97f+PHjZezYsUXWw5UXExOjluHGbtSokWzbtk0OHjzo2gYnadw2btyoxqPTsGFDqVatmupwkZnptM7qlk2IWOzb/UTYtm1bJXDRLs2dzp07S05OjqxcudK1DifdLl26qNeDO10nKipK2rVrJ6mpqbJ161bXerjr4HJHrCVc6LC8Yl4YXzDMadeuXa71+Jzq168vixYtUgJFt0QF+pyK+5wghPFZQrDpFzaBPif9c9q8ebPHWIg5YUwiIUEOvuKoiTh1xVT1uF58PVl6y1JJikkKmO8h3Ms44aDFWL9+/eTIkSMe1sTk5GS55557VFKLt5ZExEMdOnTINeZgsSTCHb9s2TLp2LGjhIWFBcWcCo8dj5csWaLmqL9WoM+puM8Jy/gsEZOov36gz0lfj+8wYo15/jY3tCQSEuS8sfgNl0BEssr3V3/vM4HoL3CSgcjr1KmTEj4zZ86Uyy67TD23YcMG2bFjh3JPl0RERIS6FQYnw8IJAfpJrDDuJ2lv1peUaFCe9TgBF7e+pDFinS4UcK9vE+hzKrwex4M+x8L7CtQ5FbdeF3vFzVNff7pj9/ecyho7MRcUiYQEMUcyj8gjfz3ievzhxR9K+xrtxcyMGTNG1UREMgrqqCGTefbs2fL7778ri+XNN98so0aNUlYIWCBGjhypBKK3SSuEEEK8gyKRkCBm4qKJcjznuFq+qf1NcmWrK8XsHDhwQIYMGSJ79+5VohDxVBCI55xzjnr+1VdfVZYJWBLdi2kTJ3hvELMWrNmwVpmjleZJzAtjEgkJUo5lH5Pk15IlLStNQmwhsnHkxgopnB2I38NAHDMhwQS/g4EBL08ICVImLZ6kBCK4od0NpuusQioGJBusWLEiqEuMWGGOVponMS8UiYQEIek56fLKP6+oZfRlfviMh40eEvETcA6hLEoAO4nKxApztNI8iXmhSCQkCLnnt3skNSNVLV/d+mppUrWJ0UMihBASYFAkEhJkvLfsPXnvv/dcJW8e7/240UMihBASgFAkEhJELNm9RIb/Mtz1+J0L3pFmic0MHRPxL6g/h84bwVyHzgpztNI8iXlhCRxCgoTsvGy55utrJCc/Rz0e0WWEXN/2eqOHRfwMiiAX7m0dbFhhjlaaJzEvtCQSEiS8vvh12XJki1ruXqe7vDzwZaOHRAwAXTrQsq5wa7ZgwgpztNI8iXmhSCQkCECSyjNzn1HLNrHJ2+e9LeEh4UYPixiEFUqmWGGOVponMScUiYQEAU/NeUqOZh9Vyze2v1Ha1Whn9JAIIYQEOBSJhAQ4aw+ulbeWvqWWo8Oi5emznzZ6SIQQQoIAikRCApjNhzfLgI8HSJ7DGbP0YM8HpVZcLaOHRQwEmbDodx3MGbFWmKOV5knMC0UiIQEsEPt+2Fd2H9+tHrep1kbu73m/0cMiJiA8PPjjUa0wRyvNk5gTikRCApCFOxfKmVPOdAnE1tVay8whMyUmPMbooRETJDosXbo0qBMerDBHK82TmBeKREICjPeXvS99p/aVfSf2uQTiX0P+kqSYJKOHRgghJIhgMW1CAoB8R758t/47efWfV2X+zvmu9X3r95WvrvhKEqMTDR0fIYSQ4IMikRCTcyz7mPT/qL8s2bPEY/3IriPl5QEvS1hImGFjI4QQErxQJBJickb/OdpDILZMaimP935crmp9laHjIuYEmbCdO3f2aUZsVlaW2O12lUSB7h+ZmZkSExOj1uE5h8Mh0dHRatsTJ06o7XBDLF1GRoZr2+zsbPX3eAzS09MlNDRUIiIiXNtiPxh7aduiXR16Guvk5OSoW2xsrHqM/eD1IiMj1djwt1FRUervS9tW0zQ1fn3b3NxcNb+4uDi1LeYN8Ly+Lf4uLCzMtS32i/GZ9bMMNHBc4L0lvgPfTRzz3kCRSIiJmZMyx6MG4vQrpsu5jc/12UmIBCcQQRAyvgBibd68eVKtWjWpV6+eHDlyRNasWSNdunRRgm3z5s1KLLVv315t/88//0jt2rWlbt26cvToUVm1apV07NhRib+tW7dKWlqaegzQcg77TU5OluPHj8uKFSukXbt2SpRt375dDhw4oF4HLFu2TPUxbtiwoRJ9eNymTRu1bufOnbJ7927p3r272nb58uVKrDVu3FiNH6/TqlUrqVy5stoO++7Zs6faFuPDSbNZs2ZKjCxatEgJ0MTERNm3b5+a3xlnnKG2xbzx3WvZsqUSnwsWLJCmTZuqORw8eFA2bNggZ511lkvYmu2zDCQgwvH+43ghvgUCsUGDBl5lzts0fBIByrFjxyQ+Pl79EFWqVMno4RDiUzJyM6Td2+1UqRsw4dwJcle3u8RsBOL3MBDH7C2wviEjFhYoWMN8AQQQxKFuSYTFDKJPtw5CMOlCBgIOljXdkgjrm/u2WKdbHWHFg5VMtyRiW+xHtySWtC3GsG3bNqlfv756LQgpCDxdnGE/eD1si7Hhb2Hx0y2JJW2L0yHGr2+L7TAO3eqIeQPd6oht8Xe6JRHbQiBDjJr1swyU7+DevXuVQIQAxzHAC2PfgO/Dnj171DGLi76y3tfgOuoICXBw4tl+dLtMXztdpq6Y6hKIPev2lBFdRxg9PGJRdNEHIFZ00QQgktxxt6JB1JW2rS4Ay7stRB3Gobthdfe2jrvlDdu677e0bXHCdN8W88ZNB+KwtG0hatevX6+sqla0/vkKvI+6QKxatarRwwk6kpKSlFDERYj78V0cFImEGMShjEPy0oKXZPORzRJqD5XM3ExZvHux7D2x12O7iJAIef/C98VuY8Uq4n9ghYNLFu5XCp+yYU3D00ePQXS/MCC+Q79IwrFKkUiICfln1z9y5VdXys5jO0vdrkutLvJsv2eleWJBkD4hZeHLRAc9YcXbQHd/YUb3IyyNrVu39qmYtnLSihk/Y6u9rxSJhPiZNxa/Iff+fq+r37I7ceFx0q1ON+ldr7dc3fpqaVK1iSFjJIEL3LB6soevhA+SOsyUQADBinjEYMfXnyUh5YUikQQ96Eyy7cg2VXC6TqU6EhUWZVhB7FG/j5KJiye61p1R7wx5+7y3Xe306laqKyF261oOiG/iWpEMgKQAX1hisD+4/3BvFssOxqInuZhlTABZ3siA7t27t6tsjpk+y2Bgx44dkpqa6pfXSkxMVMkd5f3MbrvtNpk+fbpK9sJnN2zYMHnttdd8Nq4nn3xSvvvuO5XFX9FQJJKgIzc/V37Y8INK/Fi0e5EcSD/g8XzDyg3lmtbXyA1tb5Bmic38Mqb0nHS5/tvrVdcUnft73K9cySyGTXyJnjzhq4xYCB+UhYHlzj1Rw0hwIt6/f78qnWMm8YRkG5TocU9wMdNnGQwCsUWLZpKR4cwyr2iioyNl3boN5RKKv/32m3z44Ycye/ZsdSzA6h3Isbw86khQ8fmqz5Urd3/6/hK32Xpkq4z7e5y6XdnqSvngwg9clryKYMW+FXL111fL+tT16jGSVCafP1lu6nBThb0mIb4CJzj3wtWkZJAEgMzRspIByKkBCyIE4icviLRoWLGvtW6ryPUPZqnXLI9I3LJli9SsWdNVhzPQoUgkQcOmQ5vkhm9vkHytILsQLub2NdpL0ypN5XDWYeV2XrpnqWubL9d8qdb9eM2PUj22us+tHW8ueVNG/TFKcvJzXDGH06+cLgMaDfDpaxFSUcCCBbebmWISzQpKihw6dEhZXGn5qzggEDu2EtMxbNgwmTp1qlqGhRuWbljgURJJdzfj8a233qqKtH/11Veqpuajjz6q1uk89NBD8u2338quXbukRo0act1118njjz9uyMUHj2JiSvaf2C9zts+RdQfXyWUtL5PW1VqX+TdPznnSJf7OaXiOPNDzAenXsF+R0jGIUfx05afy1NynVF9ktLzr/n53+eP6P3yWKJKdly13/nynfLD8A9e6DjU6yOeXfe43FzexJjg5+TJWD/GI6HyBLFszWcjMNBYdFNtOSUlR9f18EZPo68+SVCwTJkyQRo0ayTvvvKO6/OA7c8UVVxTZ7uWXX5ann35aHn74YRW7eMcdd0ifPn1UghjAsQOXda1atVT5qVtuuUWte/DBB/0+J3PVNCCWBwLurKlnSY2Xa8hV069Swq/3lN6y+9juUv9u9YHVytWsWw+/vvJrOafROcXWFqwRW0Pu63mfzLtxnkpkASlpKdJ3al9ljTxddh3bJf0+6uchEO/pdo8svHkhBSKpcHBiQms7X5VOgfCB1QPdRMwC4rzq1KljurI8KCTerVs3n8Vu+vqzJBVLfHy8EnP4vGABROhBcQwePFjuvPNO1TYSVkNY6mfNmuV6HpZFuKthdbzgggvk/vvvly+//FKMwFzfMGJpUBLm6ulXy+yU2R7rj2QdkWHfDxOH5ijxbx+b9Zho4uwwObrXaImLKPsqvk31NrLof4ukTbU26vGe43uUQNW7nJxKcsoTs56Qpq83lfk756t1kaGRynr46rmvSkSoZwcJQiqq7RZ6HuPeF+Ckh97FZkla0UM50OvZbF1lYfGDhdNXlj9ff5bEHLRt29a1jGMFghKfs860adOkV69eaj2+dxCNSNoxAtO4m5977jkZM2aM3H333T5NFSeBAwQWXMygWkw1ubH9jfLJyk9k9/Hd8ufWP2XioolyT/d7ivwdYgz1rOFacbXkzi53ev2a2P6voX/J2VPPllUHVqnX6vthX/n1ul+ViPQWvP6IX0aov9epHVdbvrv6O+lcq7PX+yHkdIGg2Lp1q1SpUqXCLG3ILEZpFqOAOEQPZhT5NpMrFmPC+4Ks1sJtBU/1s4QYPvPMM01nNSW+C5XAMaxfCCxcuFDFII4dO1YGDhyorJNffPGFclFbViTCdz958mQPdU2sxa+bfpVn5z2rlkNsIfLNld9Ir3q9VGxh/4/7q/Wj/xytHreq5hmxPHW5M1AYPHrmo+Wugwj39MwhM+Xsj85WbmsIvTOnnKkEXt/6fUv8O1g2IVCfm/ecfLv+W9d6ZC+P6DJCHu/zuFSOqlyusRBiNlCPELX/0EMXpV0gEIcOHSLZ2c5kLKNOskOHDlVJAnoLNzOAE/3hw4dV2SBfABE8evRD0qBBA0sUDyciCxYsUAkvjzzyiGvd9u3bDRuP4SIRXyao5nfffVeeeeYZo4dDDACZv//78X+ux8/3f14JRIDEk1HdR8kr/7wi2fnZMnbOWPnyCs/YjHWp61zLV7QqGiTsDUkxSfLXkL9k8GeDlfA7mn1UBn4yUPo16KcsgWiLh1hGuI+X7V2m2urN2DqjSA3GcxufKxPOnSBNqzY9pXEQYkbcrXWwlEEgPnybSHJNY8YDJ3NOjMjrj4iYx44I7BIdHirRzta4p826bSLr0hyqDAtFojVo0qSJci3DeohuOz///LPKdLasSBw+fLicd9550r9//zJFIgKn3YOnjx075ocRkooGZWgQDwhQGmZUj1Eez4/rN04+W/2ZSmr5et3Xqs4hCmLrbDi0Qd1XiaqirIKnCoTirKGzVMLML5t+UeL1182/qltZwD0+8dyJqu6imdxfxHrg+PNlhw5k17Zs2bJICRwIxKYNxBAcmiYHsnZLtSRN7Cb7uiXEOG++AHHWP3+9lb8pxdQwDIbXKI4LL7xQ7r33XhkxYoTSO9BHjz32mOqyYgQ2zcDIXyjlcePGKXcz3Bh9+/b1qCdUGLxJ8NMXBle2lSpV8sOIia/B4dfl3S7y795/1eO5w+bKmclnFtlu3Nxx8uisR9XyyK4jZeKgia5kkdjxzoD6HnV6yIKbF/gkgeaRmY/Ie/+9J4czD5e4XUxYjPRv2F/Oa3KesmAmRCaIFcHFGkRJIH0PA3HMRn5H0V4M7xXEysaNG1XbsclPGicSzUp6hkO27zosvTuckFgfCMVla0Q6XS7y77//SseOHSWYKO07iIz6bdu2KTe7e/eaQOi4EgiU9P6aypK4c+dOlaQyY8YMr1sYIbFl1KhRHgdZ3bp1K3CUpKJZsHOBSyB2rNlR9TIujts7365iFjNyM+SD/z6QJ/s+qSyHGw9tdG3jq/IyiCl8/pzn5bn+z8n2o9vl3z3/yo6jO5QlE3UVERPZtXZXaVe9HTOWielAXNyePXtUjTVfJDsgJAhxUuZqy2eXtNz2khC2XGw282T+hoXZpF5Nu4T7qISjJiHSu3cv02VxGwXEGkSbmXs3BxuGiURcGSHl2/3qCH0q586dK2+88YYysxauDYVsMV9kjBHz8NqiAqvx3d3uLtGtUjW6qsp2nrRkkqTnpsvkpZNlzJljXK5m0Kyqb2sQYiz1E+qrGyGBJBL1Tg2+EIm4iG/atKmpXJ4QT2k5HSU+bJXYxDwiMTzMJtUS7BIe7rt5IrOZIrEAiDarCzd/YlhOfb9+/VQl8eXLl7tuaGKOJBYss3ho8LM9bbt8s+4btVw9prpc1eqqUre/t/u9YjsZpj5x8UTlFt6QWnEikRDizCRGBxEzdjgxG3l5mqQdc0hentEjISTALYko0Nq6desi1epRZqHwehKcfLTiI1eB7Ds631Gm67ZRlUZyQbML5IcNPyjXL7KMPSyJ7GZCiM9BiZmDBw+qZQrF0snK0SRle75UrSQSZ3haKCGnD6tzEsP4c9ufruVh7Yd59TeDGg9yLaMziy4S0X6vUeVGFTBKQgILuJjRDsxXxZcR5L5hwwZTteUTcUhsKOKRzeNqBtGRNuncJlRiyleqtUTgSodnzUyufmItTCUSZ8+ezW4rFgEJKAt3LlTLEHfJCcle/Z17cWuIRD1xBXGDTCIhxCkSGzVq5DORiGSVHj16KE+PWbDb8iUpcq66NxN2u00iI2ziq+YoNslTdfIoEolRmEokEuswf8d8yXU4OyWc3eBsr/8OcYeIXwRo1Xcix9nZgPGIhBQkrmzZssVn/X4hUBAjbiah4tBC5GBWb3VvJrKzHbJlR75k+cjoqkmoqpPHxBViFBSJxBD+2vaXa7k8IhEnqj71+6hlXWQCikRCnEAcIobQVyIRbfnWrVun3M7mwS4n8pqa7hTm0ESOndDER2+9aGJXtYMpEolRmOsbRizDXykFIvGs+meV62/7Jhftp8ykFUIqDpQnI2UTFWmXDi1DJdpHMYmEGA1FIvE7R7OOqv7IoFVSK6ke63Qfe4tuSXSHlkRCKga05UPFCW+bHhBSkeTk5KgC7zoZGRkuKzcsrsePH5e8kzWIkJnvvi2s4qVti8fFbVse0Dnunnvu8WrblJQU5R1DcpKv9qnnd2C/hVtpngpM0id+5+8df7tK35TH1azTIrGFJEUnycEMZ1kOQEsiIU6QsFKnTh2fJa6YEZvkS0L4MnVvtrZ8GzbnSa924pO2fJjf33//LZdccokvhhcUbN++XTZv3qySqcCKFSskOjpamjRpogTk4sWLVa/xKlWqqM5DaD/Xq1cvtS1qM6OMU/PmzZU4/Oeff9QyOqvs379fNm3apLaFwFq9erW6MIK7PzTUe6n0zTffeF0qCh3j9u7dq15fF3dnnXWWaoOZkJBwSvv0NRSJJGDiEXXwBUaW81drv1KPY8NjpWZsTZ+OkZBAF4m+AtaV+fPnS3Jysmna8qEVX+XwZWI20JavZjXfteWDSEQXMjMlDRkN+j2j44puJUOhdxzzeAzrINpHIh4XjyGs8FjfFqWhdAubvi3AY+wDj9FLGkC4Va1atVwCEUCcegsSwtAZyZf79DXBe6lJTC8S0T2lT3JR17E3uP8dXM38EQ0Oxo8fL126dFHF9vHjf/HFF6safe7ABTR8+HD1Aw7RctlllykrACmIH0Siia/iCGFNadiwoalaojq0UNmXOUjdm4lwvXezz9ryhck111zDxJWT4JiGG9g99AHhEPqxifMAfhN0YQeR6F66CX9X2rbuF0HYNrScArGwaxii89lnn5WbbrpJ/aZB3L7zzjvFupuxDCsiqFy5slo/bNiwYt3NH3/8sepQh31CZF577bWqzXFFQJFI/Mr+E/tlxf4VarljzY5SOaryKe3H3QLZuho79AQLc+bMUQIQbqAZM2aoOKEBAwZIenq6a5t7771XfvzxR/nqq6/U9nApXXrppYaO20xAUMAa4ithgZNnzZo1TdZtxSaZ+bXVvZnIz9dUdrOv8nw0sSmBTpFYEH8IlzGEYkWDWMb58+d7xCmeCi+//LISdP/995/ceeedcscddxS58NVdz19//bVaxvNwQ0+YMKHYfeJ38emnn1au9u+++04JTF1Q+hpzXYaRoOf7Dd+7ls9tfO4p76dFUgt59uxnZe6OuTLmjDE+Gh0xmt9++83j8Ycffqgsiv/++6/07t1biZ/3339fPvvsMzn7bOeFwpQpU6RFixZKWHbv3t2gkQcviN06dOiQEiqnYlmxEpnZmqzbnieVO4vEmaf2eNAAq2CnTp38IhJhcWzSpMlpJ2wNHjxYiUPw0EMPyauvviqzZs2SZs2aFXE9625l/Oa5xyQWBpZJHVxETJw4UXlgIGx9HRLCbzzxK9+u/9a1fEnz0wvGHnPmGME/Erzo8UH6jyfEIq6i+/fv79oGgedw4yxcuLBEkYiWcu5t5Y4dO+YSQHp2I2KScEM8k3uNQX09XF3uFp2S1uuFp/X9uq8Hhd3AJa2HIMN+3dfrha0Lj9F9vT4e3PtiTjjxrF27Vho0aKASBLAeVkU8q2mYo6bcou7YBDVMbaoYtDt2W65oWuH1mthteaJpdtEkxIv1znlgPw4tzCN+D7GKThe0zYv1eWKzaR770Nef6pwiIzRp2zJaIiNyYO8Rh2b3cIljqxA71od4FAK32xxqrtgWf1PwDji3wXvufjyZ9dgr7hgr7dgrL/g7uJf90SISx3hCQsJpW9Dbtm3r8V7BPXy6rmH8Dj755JPKkogkF/393bFjh0ra8SUUicSvpW9mbp2pluvF11PuZkJKAj98iMNBtiFKsIB9+/ZJeHh4kavs6tWrq+dKi3UcO3ZskfVwAekxSwhqRzs7ZEOiGLUOkkBw27hxo0u06lfwuOJHFqS7ZQOiFePDvt1PhDhZYOxLlzrLP+nAFYWszJUrV7rW4aQLywBeb/369a71OEG2a9dOUlNTZevWrR7B/LCmwvW+a9cuJaTx+r6ak/7+I7MUYx06dKjkxIjkatMl1JYu29OHeswpOWaq5Gkxsjvjcg+RVT92qnIT788q8CKE2dOkTvR0OZHXRFKzzyyYa8huqRH1q6Tltpe0nILfCvRsToyYJ+H2I7Ij/Tol9ACynZHMciDrnJOuaCeJEX9LXNgG2ZN5seQ6Co6b6pG/SXToLtmRfq2HIKwdfXpzCg3JkyOOvdKu+mRJzWgrW4+cV/A5RW6VFomfy57jvWTXsYK5JsUsl0aVf5ZtaQPlYHp71/pc2zzVlg9Wc/fjxszHnmtOZRx7yFAuLxCH6CYEa1lFx8hCaKempnrELZ4KhUUmhOLpFLpH6M3AgQPV7dNPP1XvM8QhHuOz9DUUicRv/LzpZ1eXlIubXcxkE1IqiE3ESXDevHmnva8xY8bIqFGjPCyJiAHq0KGDVKpUSa3TS8bAYoZMXh19fdOmTYtY3XQBVdiaA7Bvd/T1ODEXXo8TcOH1+gnYfb3+nUHmpXvGo76+Vq1aHtmSvpoT4rIgGmCxRZmQqVOnyuuPiIQlOa1uEFDuQDyF2Y4WWa+LP8/1zteJDd0kMaFbi6xPCFsu8WGr3NY7lGWwVjS8EgVWN70cTrXIGUUsieq9ifquiCUR1Iv5rNDYT31O2TmaZGQckSbVnZbqxOiVUiVqrds+nHOqFTdfasT+42FJBA0SfpfkeIzfyYqj+bJ8eb46DiDQgunYa9y4sZyKcMNxiDFXNEiQS0lJURegSBDxBxDyoDQrK4Q7wj+ee+459RsGCot/X0KRSIxxNbdg3S9SMiNGjJCffvpJlf9wL+eCkxCullGywt2aiOzm0kpJwOpQnOUBFoLCVgLdHVYY/UTr7fqSrA/lWY8TcHHrSxoj1kE0QFxDQOjbnM6ccLKEMIRowHuIMcFSCWmgX+c5XbHFpV0UXQ/LX/HrHWI76Uouaz3csrAMQvjBTevxHhR6XPb64sZ+anPSVOmVbNHq5rq5kYtad+y2fHUrbox2j2vnMLnttv+ppeKOA7Mde+VZX9LYSwNW/44dO/qkSLQ3r9W9e3e/ln2CmMb7jt8+xDJCDBd+fVyoQUy+/vrrcvvtt6vvOpJYKgpmNxO/kJmbKb9u+lUtV42qKmfUO8PoIRETAoEDgfjtt9/KX3/9pawQ7iBoHe6bmTOdYQt6JiDcLXpxXauD9xAuSF9lxMI1BqHoq17QvsF20nVsLm9EdJRdOrUOlZho3+wP0hOWO2Y3F4CLRGQ562BZj1HEMYoYWt0Sh23dKyPge6Fvi/cU27p3XHHfFttpmuZXj1ft2rVVWMzo0aOVBRO/hYWBexkJfajugPhDWBRfeumlChsTLYnEL/y59U9Jz3V+AS9odoGE2nnokeJdzMhc/v7775WLR48zhBULV9W4v/nmm5XrGC4vuIpHjhypBCIzmysGJKsgps0f1htCSgNCDklUEHN6FxXER+J3AaIKIhDPt2nTRq1DjOTOnTtdF5CIqXXvzrJmzRoltOCVQEwl3Mvu3VkyMzPV70x5rJ7omqKD/RXGvQUf6igWvgB47LHH1K2kfQLUzsTNHff9oK6iry4seKYmfuGTVZ/4LKuZBC9vvfWW60fOHZS50euAoYQE3Fcooo2rfQRsv/nmm4aMlxB3MjIdsnlbnvRoIz6zJpIC4EXo2bOnEot6wlm3bt2UWxyhELho7NOnjxKCEHa4hxDTXbZIyMFvB8raQERhW1x84u+xP7hy9W0Rj2k7mbltZSgSSYWz6dAmmb52ulpGz+UBjQYYPSRiUry5+sUP/KRJk9SNFAUnNWS5+urkBpfcggULVLyUe/cKI0FyCbKT9eQTsxASYpPEBMTy+WZ/mN/nn3/O3s1uIB5PT/AA7sckBKB7kknhbSEadSAA3beFAHXPRPZHckwgQJFIKpwX5r8gDs0Zz3Rv93slMvT0ipMSQkoGJ7/SCvGWF5xkYWExU8cVJIqgfI3ZiAi3SfXKIRLho7Z8SNiBO5WVIIhRMHGFVCi7ju2SqSucJSPiI+Llzi7OyvOEkIoBgfhLliwpUlD5dEQiMszdLTJGgwLYKSeGFimEbTQOhyYnMjTxVY6PQ8LlgQceMFnSELESFImkQnlpwUuu2ogjuo6Q+Mh4o4dESNBzKt0sSgJiE0krvhKdvqJwRxQzkJGlyfK1eZLuw65xZhLn/oZZ3ca/rxSJpMI4nHlY3vn3HbUcHRYtd3e72+ghEULKCTI8UYsNZXBI6URF2KRdi1CJZkTNaaGHNriXuiG+Q+/M4k3cMmMSSYXx88afJTPPeUl9U/ubJCkmyeghEULKCRIDUAJH73cN4P7MyVXltJWLFRY0CCQkbuTkapKbq0lMtNMGkZmFgtIoaO4s9J2eqUlkOJI7bJKbp0lOTsG2WdkonF3ytuhoEntyWxhLsb0uyE5kOFRMYFgoehdrkoX9RtlUPF92tkP1OomMcP5teoZDwkvZ1qGJREUWbBsWZpPwMJvk52uSma1JdKRN7HabGg/WoT4iwOO4eJx8/fsZBRsQL4ir1XscI+GEcZm+Ad9dtEnEe+pNu0GKRFJh/LTpJ9fyVa2vMnQshFjpBAtR56vsZmSMwpqIOnJdu3ZVJ5fDhw/L8WM2SYgJkcwsTdZuyJM2zUIkPsYuu/Y5ZOc+h/Ro7zy9bN+Zp0RVk/ohSkCuWZ8nLRuHSEKMXfYccEjKLof06ujcdtXufAkLFWneMESJN2zbvJFz2/2pDknZni+9OmFbu4Tve08OZxyWWo1PdplZl6deIyHeLqlHnNt2b4+OOjZZvz9fcvNE2jR1vidrNuRJgzp2SYq3y+E057Zd24UqIbjpYL4Sve2aO8e0blOe1K1hl2oJdjl63LktCmZHRdpky6F8OXpck46tnNtu3JInIY4cqeajvCF0cZk8ebIls5v1Dkq6UCS+A99pJKN5I7wpEkmFkJOfI79t/k0tV4mqIt3rsNAxIf7C13Fs6HyD5BVYFSESURanQS2RhBiRSlEifTqLsuhBl0bXFalfQyT2ZGWSLi1xUoIVD7FQzm2jItAKTiSmjki9agXbdm7hbPVX7LbhIrUSReJinM91bJKuWt5Fn6xUgm0jw+GqFImNEKleWSQ22rm/9k2dfxN10urYpyMykQu2TUoo2LZNY1hb0D3Fue2Z7UXCw/CeisRFilSJE4mJcs6pdSPEbBbUROzVTpTI9R2ahwXXSkDA1KxZU6pVq6bqIhLf/j4U1yqxOCgSSYUwb8c8OZbt/HEb1HgQO6wQ4seklaVLl6piwN64k7yhcL05te5k3gjONRBuBds6bzq62AIQYe7bQqS5V9bRRVxZ2+Zr4bL68APSudaLuCRV69y3xbTj3KYO0elO7CluCxHs/joQmu7lbnxdQFs7md1s5QQOWMStXtDaSJi4QiqEnzYWuJrPb3q+oWMhhBBCSPmhSCQ+B1e9P278US2H2EJkYKOBRg+JEEIIIeWEIpH4nI2HNsrmw5vV8pnJZ0rlqMpGD4kQQggh5YQikVSsq7kJXc2E+BPEbyEeMZjjuEJsOSoeEffBjE1y5MUXX2T5F2IYFInE5wW0X1/8uusx4xEJMa5YbvBik5z8Suo+uLFJpUqYJyHGQJFIfIZDc8iQb4fI9qPb1ePeyb2ladWmRg+LEMtlN69cudKnrfnMRr4WJiv336bugxm0Hrztttssnd1MjIV1SYjPeH7e8/Lzpp/VcmJ0onxyySd0kxDLsGPHDklNTTVFR4WjR4/K8uXLva6F5g2JiYmqAC8hxDpQJBKfsPbgWnl01qNq2SY2+fTST6VufF2jh0WI3wRiixbNJCPD+P7GqGeI2nqIZfOl2zk6OlLWrdvgs/0RQswPRSLxCd+v/165m8HoM0bLgEYDjB4SIX4ViRCIn7wg0jRZJCvH2SkEhrycXGefYb1QdGaWsygzilGr/sM5zk4hWFfatugCkpldsC2aUKDVnF6sGs+hR3JYuMhhW44MeN+5bWgp27oXgi6NdVtFrn8wy8NSmn1Sf8ITeiKjoDMKXgtz0otOYw4Ac9K31Tuj6Nvq3U7ctwXH0wu2RWcTjBvbOl84RzIzC17nRHpBZxR9W70zSla2ZxcV923xfkPb69tiXu5dVNIznPOKcNtW7y5TeNtToazXh9DXO44ghCAjI0N1vUFiUnZ2tuTl5alOOGqs6emqgHpERISyKOOxvi32g1tsbKzaFvuBpTkyMtK1bVRUlPr70rYl1oIikfiEWSmzXMs3tr/R0LEQ4k+ysrJUDCASDJLr2KVadU1Wrc+TRg1CVc/irTvzJe2YJq3qO39ul6zKk2pxNkmuHSLH0zVZsS5P6tcLlbgYm2zfnS8HDmvS6mTf4GVr8iQhxiYN64aofsLLVudJvbqhEh9rU/2Rd+9zSOsWzm2Xr8uT2GibNE4Okeycd2TJyjCpWytSKsfbZfd+h2zfU7Dtqg15Ehpmk5ZNciUyvGzrJ4QLLJRoEQcRAfGwdbdNWjQNkdw8TRYtz5MWjUOkaoJd9h50yNYdjpM9lkVWb8qXELtIi0Yhkp+vycL/8qRZwxBJqmKXA4ccsnFbvvTsGCp2u03Wbs4XRN+1auzMzJ63NFca1w+RGonOfszrt+RLt/ahEhZqE9vRt2X5wXBp08ypphb8lyfJtexSu7pdjhx1yJpN+dKlbahEhNtk8/Z8OZGhSfuT8/9neZ7UrmFXPZmPnnB+Xh1be35eej9m9XlV8fy82rXw/Ly6tAmVyLAsr95LAANvyt4ISYiPVGK2pNeHgH7rrbdUtnqLFi3k+PHjsmLFCmnXrp3ExcXJ9u3bVW/jLl26OI+XZcskISFBGjZsqIQdHrdp00bi4+Nl586dsnv3bune3dkiFeEI+BwbN26sxOaSJUukVatWUrlyZbUd9t2zZ0/n8bJqlfr8mzZt6vr8GUpkDSgSiU/6NM/fOV8t146rLY2rNDZ6SIT4VSTWrl1bnVwzcmyS59CkfrImWbnIwLVJTKwmkVGapKU74wNr13RISIhN0tJtSjRhW2yHx5HRmtSOKNi2RvWCbR0n95vncD6OiNSkbu2CbatXcyjr4JETIZKRV0uS6+0SpK5g27AITZLrFGybmOhQlrvjmUclIixLLZeGsjpGRChrU1hYmFSpUkXi47Fvu0qqwLg0m3NcoeGaJNdze62qTg+D+7Zyck62UOfjoxk2JTqqVCnYFtRPdkhImHNbsTu3PZGFwdolMq6mxMlu53MiklzHIWEnt4XUxLbp2TbJzLVJXJxDYmIL9lu3ttu2Pvi89qSK7NufJ91ae2dVhMV4664wqavFS2SErcTXT8+xSdu2NZWFLy0tTVkS69evr6x8eAzLHo49LKvjpUYNZTXEY1gHsS0sjXiMz69u3bqubatXr66sg+7bYv94jM84OTnZtS3iUbEtxGNKSor06dNHiVQS/FAkktNmye4lkpGboZbPanAWrzCJZYC1BhYZHPP6cQ9BAYueDixZ7qVaoqMKkknKsy0sbe7bhofZ1E0nKtK5rUMLlQPZgyQ5ZqrYbbklbnsiw6EsgH06e/YjLg64eyE+IB6cY7G7+jNj3u7jgpUPN53IiII5lGdbEBtd8Dg01CaxJ7fFHA/nD1ZzFHHOMaaEbdX7Wmi/7tv64vPKztEkoZJNuaW9Af2gu7cPdQnRkl8/VAYPHuzqm43PQHcBO+fl2WgarmUdfEbu2xbuvw3hWd5t8frNmzf3+FsS3LAEDvGpq/ms+mcZOhZC/Il+cvVlFrG/iAy3SfNGISqWsCzy8p1Z08FcVud0gLBDSIC3MZ6BClzNsCrinliDwPtlI6YWiX3r9zV0LIT4E7j7ENPlbnUJFGBtS6xs98r6hZhECETErpGiIBQAMaNIjvGGjExnDGlmlpd/YBKQQLNv3z5XIg0JfigSyWmRnZctC3YuUMv14utJg4QGRg+JEL8B6xqEE+7NgyZhdsSSlV6AGQkn+1IdKsO4LJyZy6Emym71bo7+Qk8qSs/0bnsYnuFiRqxn6WiuuEAzgGN98+bNKg6XWAOKRHJaLNq9SLLyslyuZsYjEiuBRA5khZrppGm35Umd6OnqvjQQR7c5JV9l0Ja5T7szntAsbnVv5+gvoiJs0qY5spO92z4yQlQWeuFYycLYJE+mT59umt9VhFacccYZTFqxEOb4xpOAZdY2xiMS64IAfpQNKZxAYCSaZpfjuc3UfWkgKeSMzmFlJq24u5vN0hPa2zn6CyS0oCwRaid6AwzPEOlwU5eGJnZp1gzzNIfFlFgPc3zDSECCH67ft/zuesx4RGI14IJF6RtkfZoFTUIkNftMde8roGXwfTeLW70i5ng65ORqqm6ltxoabuklK/OUm7p0QuTMM88UswCL+Zo1ayQTVcyJJaBIJKfM9LXTZeGuhWq5adWmkpyQbPSQCPErsKyhdlwgBvJnZTtkzeZ8V5eTwIpJNBe5uZoqbI76h96A97NVkxCVYR5omMX1TfwDRSI5JY5kHpGRv450PR539jhDx0OIUSIRnSlQsDgQ4eneN6DuIuoeov6hNyCjHJ1wkGEeSOAioWXLlqyTaCFY7IicEg/MeED2p+9Xyxc1u0gua3GZ0UMixJBAfrQuW7x4sZgHTaJCdpeZ+YvC1S0bh7j6JJdVsgVCGG5GXSBs3yuGoYkmeZG7ZdNBzTRCNzrcefMGGJ53pzokIkrzKCZemB37NGWpRls+M6CHHOCeFkVrQJFIys28HfPk/f/eV8tx4XEyafAk/mAQYhKQ8Vsj6lcvT/iaICeirK9vWKizcDhczugDHBERLs9ONjKJBZbbsufoLyCcDh/OkxMnvP+b2FiHVKmiqU46JZMnEREzZejQoWKWbH7EJLItn3WgSCTl5snZT7qWn+v/nNSuVNvQ8RDfs27dOvniiy/k77//Vu5UtJ9LSkqSDh06yMCBA+Wyyy4zVUavUeB9WbVqlalK4CDjNy23vSSEoV1gyYkm6ZmarFnvfVs+iES05UPP36lTP5KjR4+KUUDgItsaCUNmuEBF2MGxY8ekQYMGXn8vcOzgVtY8sb9q1aqJGcBYmjZtythUC0GRSMrFol2LZOa2mWq5UeVGcmunW40eEvEhy5YtkwcffFDmzZsnvXr1km7duskll1yiXIyHDx+W1atXyyOPPCIjR45U291zzz1iZZw9jMNNUz8QIOM3LaejxIetEps4Sm0l17QBkifK3ie68enCDEAo4mak5Q4XL8nJyaZ57xMSEtTNW1Aku6xC2fo8zeLexUUC5qj38CbBD0UiKRfj5413LY8+Y7SE2nkIBROwED7wwAOqgG9pJ7yFCxfKhAkT5OWXX5YRI0aIVYFFBXXsjLSqnSqIhUuIh3Ww7G1RcBsxiWzLV3rnnZSUFHUxVRaI7dy4caNUrVq1VKscxCGslJs2bTKFSIyJiVGZ/LinULQGPMMTr1l9YLV8v+F7tVw7rrbc0PYGo4dEfAxOXN78+Pfo0UPdcMKwcs00nMTxHgRisWO05Tt42CEx4U53cmmwBE7pwG08Z84cGT78DsnM9E5II6YPNTZLs4Tiu4h4xKlTp5qizFJYWKiMGfOw1KhRgyLRIlAkEq95bt5zruX7e94vEaGMSQs2yvvDj+2tLBJPnDghixYtMlkJHIfEhm5U96WBjh8p2/OlRpWyRWJpbfn279/vd0uq7vo2ysKG5B13dzvEMx5DIH7ygkiLhmXvIyMnRDJySneVa+KQ/PCN0vkRh+FZ3MhmH/d2rjRs2FBl9RNrQJFIvOJg+kH5YvUXajkxOlFu6XiL0UMifgB9iWfNmiUHDhwo0m3jlVdeEauDWM3mzZsrsWIW7LZ8SYqcW+Z2MVE26dEhVGKjy94nikQX15YPAnHo0CGSjb59FgLZ3Uje0YUirKyVKlVSyxCIHVuV/vcwPKce0+REVlmxhogBLfuz9BcYq1mShYh/oEgkXvHV2q8kX3MGrd/c4WaJCfeyaiwJWJ599ll59NFHVcwdTobuJwaeJMQlDhITE2Xr1q1iFhxaiBzK7iVVI+YrwVj6Cd9WZvkb98SVwhcKsCBCID58m0hyTfFrck5+eC8JyZkvNiWk/GtRQ/kfzF0XiRDPuJDylhMZIouW50n9ZE1io22n/Vn6C3z+27Ztk06dOrGgtkWgSCRe8dmqz1zL17a51tCxEP+AxJQPPvhAhg0bZvRQTAvixPbt22cyd7NdTuQ1laoRaJmZX2pbvnX78qV9UymzoDaeLy0mEQKxaQPxGw7NLtvTm0pyzEJTiCccB3v3el9dHDGezRuFwOzrk8/Sn+gZ7sQamKN2ADE1KWkpMn/nfLXcKqmVtKnWxughET+A+DOUwSElg/qImzdvLuKGDRTySw9bJF6CbN927dp5vT3a8iVWDry2fPhNaNy4Ma2IFoIikZSJHouoWxHparQG9957r0yaNMnoYZgaZKieccYZEh3tRWCfyUBbvtZNvGvLl5nlLIFjpqLhgQwSlfelOlSGOSFmhu5mUi5X8zWtrzF0LMR/3H///XLeeedJo0aNpGXLlkUyn7/55hvDxkZKBjF6CeHLfBqrFxJScnZzsMzxdECGf3mSl1B3cnNKvopJLK13s9nmiZjE//77T1lN2ZbPGlAkklJZtX+VrDqwSi33qNNDGlT2Y+ARMZS77rpLZTafddZZqugvLcjFiwP0sjVTkWm04qscvqzM7U5kOFRbvt6dym7LFx4GoRiiussE0hz9hd6y0Fvwfp/ROUzS0u0BNU/8BtStW5f1Mi0ERSIplc9Xf+5aZsKKtUAB36+//lpZE0nJmE08O7RQOZB1jlSLnCF2W16pbfka1rN71ZYPSc3FZTebfY7+7Glcv379oJ8njnVk87OQtnUot+8AV5PFpfofOnRIPUeCB5wUpq2ZppbtNrtc0fIKo4dE/EiVKlWUq5mUDAL44YqHSDAPNsnMr63uSwNuzppJ3rXlQxMRc8UkejdHf/5WlifDHTGeazbnqwzzQJsn+k2bK5ufmEokltR+Cu4Ws7giiG/4d++/svWIs/7bWfXPkuqxBR0GSPDz5JNPyhNPPKFajpHi0a1rgdiWLy9Pk0NpDvHmfA9rI0rgmEsMm4f09HRZtcoZluMt5pB95QPHOeokWrnLktXw2t08ceJEl7n5vffe82jLg7pJc+fOVZ0HSPDw5ZovXctXtbrK0LEQ/4Pv/JYtW1TBYLjSCruYli0zT6yUkW35FixYEJCWlayTbfmqJYjEhXqXuEJvUfEgRq887mZklLdsHFJmTKLZwDHQpk0btuWzEF6LxFdffdV1JfH22297/FjAgogvCNaT4ACfsy4SQ2whckmLS4weEvEzF198sdFDCAhx0LRpU1Ur0SwgEzYx4u8yM2LRlq9be+/a8qFkC4wBKBodSHP0F7CyVq5c2evtYXh2ODT1O1taTKvZ5omxYq5mi8MlJhCJMDEDZDqi9EV5vhAk8Fi0e5FsP7pdLfdv2F/1aybWAq5mI4BX4sUXX5R///1XdbH49ttvPQQrTqwY27vvvqvio1Dw+6233pImTZr4faywrlarVk1SUlLELCAjNi5sgxfb2VRcojfn+7yTbfnM0m3D2zn6C4jn1NTUcrXlW7Cs7LZ8ZpsnQiu2b98unTt3ZoazRSi3rRslMSgQgx+6mklht+qxY8c8bhUZ34U6bCUV8n7hhReUKxyei0WLFqluFwMHDjQkqQLi4ODBg6ZyNyMjdlfG5eq+NLKzHbIxBckTZe+zrLZ8Zp2jv0BM/s6dO73eHjGeTRuEqAzzQJqnPlezZLmTiserI2/UqFHy9NNPqx9jLJfGK6+84quxEYPId+TLV2u/Usth9jC5uDndjlYE3oMRI0bI7NmzPQSY7iKrKKvSoEGD1K048NqvvfaaPProo3LRRRepdR999JGKm/zuu+/k6quvFn+C92XDhg2mEolwUuY6EspMjXBoGD8SbyQA8W6O/gIxeh06dPB6e4T3Vqtql7R0W0DNE/UgEV4RiB2GSAWKRFRY12NREKxeUjwC4xSCg9cXvy67ju1SywMbD5TKUbQcW5Hrr79eibIPPvhAiTAzfL8hXPft2yf9+/d3rYuPj5du3brJwoULSxSJsH64F7zWLaEQd7rAwwkQN1hJ3C0l+nqIYvcsZqyDOMBrwzUO1zOe1bQ8sdk0cWieiT42wetooknh9fhttYlW6OfYbssVTSu8XlP18jTNLpqEFLser4u/c76+Q+y2fHFoIR6OI8S4wTrYulmUhEfkSN7J6WIfdptD8h2YS8HnnZHlfJ+Q1er+3ujvB+YE0VlRc/Jc73z9gjkWzAnuWafVzebF+lP/nCDy9Mx2HAdYxg3x+RhdvkOTEHuuONTnUTBX/DXWZ+eEyP5DoSIhoSc7rhT/OWHuasaFLIkVMaeyPif8tUhekXI/ekJTSd+b0r5PJEhEIlzMOrAq+ArEEeGmx/O0atVKHn/88RKtCKTiSUlLkUf+esT1eHSv0YaOhxjHihUrlPhp1qyZmAUIRADR6g4e688Vx/jx42Xs2LHFXgDDQwKSkpJUXUgIUbiQderUqaNuGzdulKNHj7rWN2zY0BWPiIvooUOHSk6MSGb+bxIdukt2pF/rcVKuHT1dQm3psj19qMcYkmOmSp4WI7szLvc4edePnapq5O3POte1PsyeJnWip8uJvCaSmn2ma31UyG6pEfWrpOW2lyPZnSUzv47sSL9e4sLWS1LkXDmU3UtO5DV1bY9Wb+jksf3Y+ZKdVqtgTpV/lmoxy2X1wZskM7cgDlkL/VxstoNKECAmzbVe05Q4zokZKtvTK25OaTkdXetjQzdK1YiFkuOorOYIseQ+JxSfdtYWdILED8T17cm8+KRVzkn1yFP7nHJiLpehQ0VycnJkx44dKmkTx8X+/fvlgQcekEN2kdUHU6Vd9cmSmtFWth4pKEYfH7lVWiR+LjuO9pL1R/pKdHS4hIY451Tc5xQftkLdH8w6W7IcNStsTt58TrlRaeJwfKks5xB5evIqLtJatGghe/bskV27nMYFb75PZkr2IiVj08pR4As/hCgeu3z5cmndurWcLj/++KM60BBwjmGgwwMC1vHDDcFYFrAG4ADFF7RSpUqnPR6rg89g0KeD5Pctv6vHd3a+UyadV3xcGAl+kKT2yCOPeFjt/P09hChxT1xBuRkkquCEVLNmwUnzyiuvVNtOm+Ys/u6NJRHtxdAEQB/zqVgSsU/8XiFpAb2uX39EpGl9oy2JoZKZX0uiQvaIzZZfoiUxIzNPUnYdlzPapctJnVyiJXHFujzp/79K8sUXX3gkCKFf8e233y5vPxkmTer7z5JoE4dk5NWVyJB96r32pyVxY0qojBwn8vrrr6v3AscBLKxLliyRW265ReZ/JtKhRemWxHxHiBw6XkWOZ8aftNAXb0kUzaHEYYR9v0eCkRGWxE0pmtz2RK68/PLLMnjwYFdJrFO1JB45ckQV7Of529yUKxoWB0W9evV8Zia+4IILPB6PGzdOWRb/+ecfr0Qi8S2frfrMJRDrVKoj4/uPN3pIxEBQDxUCYPfu3eqisHCdxLZt2/p9TDVq1FD3sNq4i0Q8bt++fYl/hyLQxRWCRjIGbu7oJ7HClFQjECdAnChxEY3TtX4yx4m2OJwn5sJoxa7HCb/49U6hVNz6EFuOxNo9s60hQKRQGZWwMJsk18yXqIgcCS00XQgZj9GdbMuHm/t7o4cgYIx2W8XNqbj1MWE7iqxzzjWvnOvL/zkh+gpz198LGE9gWYZ1EWtCTr5FENx2W06RvYTY8yU8NFdC7Hmlf042kWh7gXWuIudU1ufkPLZtymqP+RZ5zRK+N+X9PpEAz26GZeHhhx+Ww4cP+3QgEJ64SkVmY48ePXy6b1I2Ofk58vBfD7sev3XeW1Ipgld3VgYuIhTTvvHGG6VLly5KhCE4X783ggYNGiihOHPmTA+rILKcjfjdwMkSAtpMnUhgRUo5MbSINakw4WE2qVPDLt40yjJbWz5v5+gvytvXGm351m0puy2fGed5/PhxkyVqkYqk3Hn1b7zxhoolqFWrliQnJ7vieU61CwNaGeHHHT8+CAKHawm9UMsTfE5Onw+Xfyg7jjqvzAc1HiTnNz3f6CERg7npppuUGPz888/9mriCcjvu8UqIaUKIC1xT8GTcc8898swzzyhXH0TjY489pn6PWPy7gMJuxZLa8qUdc0hsBCyqZZdsgeXHTGLYmzn6Cxg3EMNbHvIdgTdPiER8N8844wyJi4szejjEjCLR1z/ECIrHCQBxCdOnT1fB33PmzClWKJYUfE5O34o47u9xrsdP9n3S0PEQc4AEhR9++EEaN27s19ddunSpiofU0ctu4bfhww8/lAcffFCdlG+99VZVTBsnrN9++82QGn6wqsyfP980nUhOpS1f1UreteVzT1YgnkA8w2jiLSqzvElgtuXDubmwcYgEL6FGd2FAyQD9JNSpUycV/DthwgSZPHlykW3HjBnjUadRDz4np8eU/6a4rIiDmwyWrrW7Gj0kYgLOPvtsZR3xt0js27evR4JIcSeqp556St2MBsIUsWh6R6pAIjrSJp3bhEpM0fCyIkADw50aiGLYHyBeF5buYAffPQji4mIMSXBySmXccfUOqx/ilZDyjy8H3MxwSdWuXVB64FTAD5G7S9mb4HNyauBEPHPbTHl67tOudU/2oRWRFCSW3XvvvSokpE2bNkUSVy688EKxOnhPkEBTnm4bFQ0yWVHyxJnRWjJ2u00iI5B8UfY+c/Ocv81miUXzdo7+AuIZ2brecjxdZP6/eZJczyGx0faAmSeOARzrCA8zS/cdYjKRuHLlSlUSAyUvUB8MKf8QiejnjJpR6H7gLbAMoiYi4ozgtvnss89UHcbff3dm2JKKY+mepXLLj7fI8n3LXevOa3KedKndxdBxEfOAzGZQnMWuIjuuBBIQTSijY673QlM18XBfVlu+LYfypVVDkcgyrr2jo5yZ4MVltZp5jv4Cho3y9O9GjGfDenYJLaMtn9nmCRDqwbZ81qHcNmO4e4cNG6bqY7lfSaBu0ty5c8u1rwMHDsiQIUNUXGK/fv2UqxkC8ZxzzinvsCxNek66vLXkLVm4c6FX2x9IPyCDPx3sIRCbVm0qrw96vQJHSQINvb5ZcTdziSLjQH28devWlej9MAIkOqBoclkJD+iQcuxEYLbl83aO/gIxeuUpCQWjfM0k+8luK4EzT7iZmzdvzrZ8FqLclkQIueLiBeFmLq3jQXG8//775X15UgwvLXhJnpzzpESHRUvK3SmSFJNUqov5tp9uk4MZzgr4baq1kcd6PyaXtLhEQu3maSJPSCCgt+Urb1UHMxAVaZcOLUOVlTDQSuCYDb2gtLfAa38ozSGaTZPQMoQiIQFlSURMYHGlZ9CyCm14iP9ZvGexus/IzZAFOxeUuu1HKz6S79Z/p5aTopNkxg0z5IpWV1AgEgVqlXoLYpOQ2Wt1cYC4RDP0ta5IUCjbvXg08QTiuTzJSxDd6zbnqwzzQAJeBMQoo0wVsQbl/sYjWB0xSnqWG344EIv40EMPyWWXXVYRYyRloGcmg3/3/lvidjuP7pS7frvL9Xjy+ZOleqxnD1xibdDxCH1YX3jhBeVGLQxKVf3yyy9y7bXXSseOHVU8ntXFAS6Q0Wkj0EjPcMiiFXlywq3ncklEnKyTiGoUpHjKE4IRGy3SrT0yywPr4gLnexiDeBxYh3KLRPRtxFUEGtsjHqdPnz6qRAYKa6KtHvE/7iIRCSklMXrmaDmW7bQCD203VLmYCXEHNUqff/55mTFjhuokgp6qKFqN7OY6depI1apVVZFtJJutXr3a8hnOsKxAKJopkB+t1JJjppbQgs2zLV/NanYJ9yLcDRWJ9LZ8gTRHf4H4/PKUioLhGfGIZVmgzTZPjBcdjygSrUO5fYzIasYJZN68eSrTGYIRFgVkPBP/czTrqEv46ZZE/JAX/vFZtGuR6s0MqkZVldfOfc3vYyWBAYQfbqmpqep7jqLauCBMTExUHVhwo9vRCQL4kbCweLEz5MMc2CRPi5Ew29FSs2LRlq9agndt+TKynDGJOA4CaY5mJStbZGNKvsRXckhEhD1g5olzC7KbYTVlYXVrcMqBaOhygBsxjxVRz1zefXy31KlUx+OLPeqPgiLkY/uOlYTIBL+OkwQeEIVsdRd4aBIquzMuL9MClZ+vqezmuEhnRxVv3M1mqVPr7Rz9BYwl//33n9fbw/CclaVJWZ3tzDZPnEsQXtGzZ0+25bMIXotEb+sfoqQNMU4k6i5nd5H41dqvXAktzROby62dbvXrGAkJViAOFixYEJCdSDKzNVm3PU8qdxaJK6PLWijb8pUKxHN5un8ho7xt89CAbMuHEjhsy2cdvBaJqI2Icg8oqFpSXAoOIIpE/7LzWNFOD//u+Vcubu60AKVmpMqo3wusiC+d85KEhZij5hYhgQ5isxCfCZd8ILbl69DKy7Z8Juu4YjaQ4Q7Le7CDczwKqjPcxDp4/Ukj4xE/iBCBCG5HC6LCt8OHD1fsaIlXlkQ9w9mhOeSGb29Q7mcwoNEA1ZuZEOIb8JuIhJ7CLQuNxhvXJNryIbvWq7Z8JuzdbAb3qw7EM9rVegsyyhf8l6cyzANpnjAQ7d6921TF44lJROKaNWvk559/VoHLvXv3ls6dO6tyGcXVTCTGiESb2FzuZnyZn5v3nPy2+Te1rlpMNZly0ZSgr+dGiBHiwEwdaOy2XKkfO1Xdl0Z2jibbduVLthfVe8zWls/bOZq1TiIyyuvVtKsM80CaJ84rKINFi7J1KJfNGJ0F0G1l7969ctddd8mXX36pmttfd911vLIwgUjsVa+Xukc3lYmLJspjsx5zicfPLv1MasXVMmycJHBBDcANGzbwxFAMuGhGKSAz/f5pmk0y8uqo+9JA4srhNE11/wg0vJ2jv0CMHspEeQsyyuvUQPkhW0DNE27mli1bMibRQpxSYAGuJuF2Hjt2rHTt2lV1acjIyPD96IjXIhFlbXrX6+1af8/v9yh3M3iy75PSr2E/w8ZIAhN8p2+++WZV5qVVq1aqaD4YOXKkPPfcc0YPzxTgZAmvinsfe6NBRuz+rHPVfWlER9mlU+tQiYn2rmQLrKVmEcPeztFfwEMDS6u3QJinHUOMpxZQ8yTWo9wiEfEIzz77rCqwe/XVV0uXLl2UK7py5coVM0JSIvmOfNl1bJdarhdfTzrV6lRkmyHthsgjZz5iwOhIoDNmzBhZsWKFzJ4920MEoSbqtGnTDB2bWYBlBe9NsAfy61EqDFcpHojn8iQvoS3f6o2B2ZYP53vUSiTWwOvLE7iWp0yZopJWBg4cqDqvnHfeeSyJYCD7TuyTfC3fJRI71+rs8fxDvR6S8f3G84ednBLfffedEoPdu3f3OIZgVdyyZYuhYzMLiEXDexGIbfkyMh2yeVue9GgjZVoT2ZavbPFUHisrMso7twmVjJzA+m3G7wAMQuWxmpLAxutPGlZDlHq49957pXr16pKSkiKTJk0qsh1iFYn/4xHrVqqrhOIdne+Qr9d9LY/3flyGdx1u6PhIYHPw4EHVfrMwsCLwwqNAHCB5z0xt+eCkDLMj07Z0K1VIiE0SE+AmDby2fN7O0V8gBKtp06Zebw/Dc2SETbLybAE1T3zva9WqZZqi6sREIhECEQfIZ585W7sVB56nSDRGJEIggjfPe1MmDZ7Ekzg5bRBrh4oGiEEE+jH13nvvSY8ePQwenTlAvCbaFJqpLZ/dlid1oqeXuV1EuE2qVw5RVsJAa8vn7RzNCmI8t+zIl9jY0tvymW2euEhArDIuioI9xIKUUyTCckjMLxIBBSLxBYg9HjRokKxdu1YJhAkTJqhldBhB2AkxJ5pmlxN5TSQ2dJPYbCVbOB0OTU5kaFIpymnZCqi2fF7O0V/Auo74XW+B4RktEaNjAmueEImodICLRLblswa8FAhCkUiIL0Bv9uXLlyuBiPIef/zxh3I/L1y4UDp1KpokZdW2fIsWLTKNhQ1oEiKp2Weq+9LIyNJk+do8Sfdi6GZry+ftHP0FiqnXqFHD6+1Rd7JDy1CJirQH1DxhgGjWrJmyoBNrwOjTIGnJR5FIKoJGjRrJu+++a/QwTAsSOVArdufOou0xzU5UhE3atQiVaC+q97AtX9nHAWL1gx2IRAhEs1wskIqHlsQgsCSG2kOlRqz3V7GEeANOBAcOHCiy/tChQzxJFOrdbLa2fN6AxJW4GJt481Hm5DrrJAZiFrc/gHg+fvx4udryLVrhXVs+MwF3M5pp8DiwDhSJQSASa8fVlhA7T9rEt5SUyYpSHyyF4gTCCdnNZmrLBydlVMjuMjNic3I12bEHws+7ki0oe2IeN6N3c/RnKaTNmzeXqy1fzWplt+Uz2zzxm4CLRDP18CYmcDePGjVKnn76adVdYO7cudKzZ0/WSTKY9Jx0OZR5SC3T1Ux8ycSJE12uJWQyx8bGup6DGMJvQPPmzQ0coXlApufKlStN5YZFRmyNqF/L3A7dPvalatKotrNNXFmYKSHO2zn6C4hntKvzFrzf6N2clm4LqHkiLrV169Zsy2chvFJ6r7/+ujz00EPqwDjrrLOUubm4+mnEfzAekVQUr776qstq8Pbbb3u4lmFBrF+/vlpPnG35UAJn1apVYhaQEZuW214SwpaXmhGLtnxd2wZoWz4v5+hP8VSezG8YnpHdnO/QlNs/UOZJrIdXIhEnBVgXBgwYoE4cyG4sqQ1f794F/YNJxbHlcEHHi/oJ9Q0dCwkutm3bpu5xQfjNN9+w5WYZ4gBC0Uw145AJm5bTUeLDVolNglNYmG2OEM/lSV5C3cmV6/OkfrImsdG2gJknkpfWrVunLoxoTbQGXonEF198UW6//XYZP97Z4u2SSy4pdjs8Z67YnOBl0+FNruUmVZoYOhYSnMyaNcvoIZgeiAOI6kBty7c1JU+6tS67LV9khLnqJJoNiKfy9DNGjGeHVqGSXWbHFXOBczzCTxhuZh28+qQvvvhidUNNsEqVKqlimnQ3G8vmwwVB0k2qUiSSimHXrl3yww8/yI4dO4oIoVdeeUWsDmIRDx8+bLK2fN4BN2d8nHdt+YB5WvKZD7TlK0+cLgzPMVE2yS0jJtGMIrFu3bq8WLAQ5bocwBUErAsNGjTglYSJLImNqzQ2dCwkOJk5c6ZceOGF0rBhQ1m/fr0KWEfnJYiFjh07Gj08UwCXGwqLm6ktn4hDYkM3qvsy2/LV864tHwpuQxAjUSeQ5mhWsnNEtu3Kl+gYTX0OgTJPfPdhPWdbPutQbqXXp08f5VL++uuvVWwCQFbXRRddxNppBlgSK0VUkqToJKOHQ4KQMWPGyP333y9jx45VLbjwnYcH4brrrpNzzz3X6OGRErDb8iUpcm6Z26EtX2aWd235ULIFv+9mKX3k7Rz9BVzN5UleQjL84TRNIiJhnbUFzDwhEtGas2vXrmzLZxHKfSmAWlAQhUOGDFFB7bjdcMMN0qpVK9mypSCZglQcOfk5kpKW4rIimqk0BQkecBGI7zmA5wCt5+BNeOqpp+T55583enimEQdLly5VdfLMgkMLkYNZvdV9WW35/l3tXVu+sFBnko5ZPEjeztFfoJh6UpL3F+uIAe3UOlRlmAfSPHGuady4sYnqZRLTicS77rpLuZ+QybVs2TJ1Q7wSXNB4jlQ8245sE4fmdD8waYVUpCtVj0NE6zn3i8DU1FQDR2YeIJoSExNN5nqzy4m8pmX+vKMtX5tmIV615cvLdyZnmCcx0bs5+gtYWMvTuzlQ5wmRCAsivYbWodyXhXPmzJF//vlHqlSp4lpXtWpVee6556RXr16+Hh8pI2mF8YikoujevbvMmzdPWrRoIYMHD5b77rtPudTgPcBzRFQAP0qEFde+MCASV2LsXrXlQwydmeokmg28N+XJbk7PEFm6Ok9q1XCUaU00E3A379+/X108miX0gJhMJOJHsbgelch85kHjH1j+hvgDZC/jew0Ql4jladOmSZMmTZjZfBJY1/C+BGJ2M9ry7drnkOi6ZXdcgbURVlNk8ZKiIBRj40YkmHgHvPaJCeibHVihQhSJ1qPcIvH888+XW2+9Vd5//30VvAoWLVqk6igiE5JUPLQkEn+AsBJ31zO7rBQF1qPly5ebqi2fTfIlIXyZui+N3FxNdu5zSP0aZYtEhD3D1WiW+Gdv5+gvEKNXnhI4yCivXyekzLZ8Zpsnwiratm3r0aqTBDflFonovDJ06FDp0aOHCtYF+IGEQJwwYUJFjJGUZklkjURSwcBqAHdqYWtZvXpsBwlx0K5dO1m9erWYBbRvqxy+rMztYqLt0qN9qMTGeO9uNkvRcG/n6E/xVB4rK75KJzI0lWFut9sCZp7EepRbJCYkJMj333+vspz1EjiIWULGE/GvJTEuPI7lb0iFAffZzTffLAsWLCjicmJ3JScI4DdbIL9DC5UDWedItcgZYrf5xsKp19E2S0Htipjj6YBYzd27d3u9PTLKl68tuy2f2eaJC0U000CdVGY4W4NTrmcAUUhhaGz5G1gRzeL+IcHHjTfeqOLQfvrpJ5XdzGOtKLCsobpDbm6umAebZObXLrX+HsjMcsj2nXnSpaVIdFSgteXzbo7+AhdMR48e9Xp7xHi2axEqOfm2gJongMXUXNn8pCIxR9ErckrlbxiPSCoSxNr9+++/5Yq1shoQh/v27QtIqyq8nNGRtjILaZOygVUN9YO9BYbnuBhbmTGJZgPiEGEmkZFe1E0iQQF/HgK5ZzMzm0kFgpMe6yGWDhJ6kMAXiCfNiAi7NKkfoqyEZZFxsi0fsnjJ6YPQzh178lWGeSCBcANcGJkl7IBUPBSJAQZ7NhN/ga4qDz74oMyePVsOHTokx44d87gRc4JM2MSIv8vMiMWJHiLFm/M9chRhRdKTFQNljv4CPa3XrFnj9fa5eSL7UjXJy9MCap44ZpCkpZfGIsEP3c0BBi2JxF/0799f3ffr189jPRNXPEvgoOuUmdryISM2LmxDmdulZ2qyZn2e9OkM12dgteXzdo7+AvGalStXLldbvq5tQyUt3R5Q88T3HqWxWC/TOpzSN/7vv/+WyZMnqzZd06dPl9q1a8vHH3+sWvOdccYZvh8lccHyN8RfzJo1y+ghmB6Ipvj4eGVJMgvIiN2TebHUivqu1IzYyHCbtGwcIlERgdeWz9s5+gsk9NSqVSvo5wmRiOPdLBcLpOIp9yf99ddfyw033CDXXXed/Pfff642TcjsevbZZ+WXX36piHGSk2w85KzqXymiEsvfkAqlT58+Rg/B9EAcNGrUSLnjzYNNch0JZWbEhobaJCEG1sFAbMvn3Rz9BQR0eS4U0JZv2Zo8qVG9rLZ85ponvAgHDx5UcYlmCT0gJhOJzzzzjOq8MGTIEPniiy9c69G3Gc+RiiMzN1O2p21Xy82qNmNJEuJzVq5cKa1bt1auRSyXBjovWB2IAyRzBGJbvtw8TfYccEhMHWfMYWmwLV/pQCCifqC3QJjHxwVmWz7Ug8TFAkWiNSi3SMQXoXfv3kXWwwSdlpbmq3GRYthyZIto4gx0blq1qdHDIUFI+/btVUmXatWqqWVciBSXyciYxIKYRJQJMlNbPm/JydEkZZdD6lUrWySarS2f2YB4btasWbna8jWqV3ZbPrOBi0f8LrAtn3Uod3ZzjRo1VLeVwsybN8+j1yvxPRtSC65UYUkkxNds27ZNkpKSXMtbt25V94VvWG80kyZNkvr166vyM926dZPFixcbUh+vTZs2JioyDcdknlSP/E3dl9WWr1fHAG3L5+Uc/Zm4Up4OJDA8Z2Y52/IF0jyJ9Si3JfGWW26Ru+++Wz744AN1Vblnzx5ZuHCh3H///fLYY49VzCiJYsOhApFISyKpCJKTk4tdNhvTpk2TUaNGqdAXCMTXXntNBg4cqDwdsIL6UxzAi2Kmtnw2mybRobt8uk9oGViUzeJWr4g5ng4Qz3v37i1XW75/V5fdls9s88TnDyNRp06dGHpgEcotEkePHq0OFJTFQBwGXM+4ioZIHDlyZMWMkngkrYBmibQkEt/zww8/eL3thRdeKEbxyiuvqAtWtA4EEIs///yzunjFb5Q/xcGuXbtM1ZbPoYXJjvRrpV7MZ2K3lTyurGyHrNqdL51biESVUQscGdCISTRL0XBv5+gvEG5QnuQlxHi2aRYieZotoOYJcEHEsAPrUC6RCHfD/PnzZfjw4fLAAw+oKwoU1URnBsYo+NeSyBqJpCK4+OKLPR4Xjkl0PzkYFZMIYYY4wDFjxnjESqGuI7waxYFAe/fMXL0YOE7uejwh9oEbLoLdLWb6eszX/b3AOowF7ndcMCOQH8+mZ+SoxISwsHDlTszI0iQqwiahIeiw4ZCc3FDl6tX7J4fYciUiIkQcWoiqXYjSNMg8zs/PEQw5OjrcJepsoklUJMZnkxOZdte2uXkOJVRjokKVsMjNC5eMrBCJjnSI3ZYvx9NtEh4eImGhNlXAOTsnT9U+DA0NE4cWLnknp4syK3abQ/IdmEvBZ61Jnpq7e5IO5qy/p9v2hEpGpibhETYJsWM8OZKfJxIZWTB2tAGMCM9XVsmsrBAJD3cmbuTlOSQvL1ciI3E6CpHsHMxT1POi5UpmFsYeenJbdPzIFxixsmPCZdXuELGJQyLC8X7mS2ZmnvocQkPxeWkq7jJSvQeYs13NybktxpCj3oOQ0HC3bRF3Cbc6xhkmkRH6tg4JCcV7ZpeUPSESEqKp4wHvhd6BpFWrVhIeHi54d/IdmoTYc8Wh2VUZGx18flhvs4dIeESEHD8aejK72SFZWblit4eqz0k/bvD5ahImWTkhkp/ncB032DbE7pCw8HBVDF0/bsJC8yUv3yFZ2QXHmHrvJU8iImxqLO7HWF5ejgoliHE7xkB0JI51mxzPsEuE2q9N7RfjhIcBFwz69wa/CRCOJX1vSvs+kSATiTgQBgwYIOvWrZOEhIRy9aokvrMk1qlUR2LCvQgkIqScuP+Y//nnn/LQQw+p0lY9evRQ6yDCHn30UbXOKNAqECeY6tWre6zH4/Xr1xf7N+PHj5exY8cWWY8yXmitBxCLiXI2EH0o86FTp04dddu4caMq9aWDGGy4titVqqQEE8qC5ceJ7EmdLlVitkt2zEjJzQuTtOOaVIq1SYvEj+X48XRJybxTKp9smHzshEMSZZIkx8fLxsPXyZFjmurpGxmeKwn5b0jKvnoSX+tyte3xdE1C5ZB0rfqJHExvJduO9ZPYGJuEh9nElpsiabu/kiYtzpD9mT0l01FHdqRfLfUiVkvtmBmycns/iU5oo0746LKSfmiB9Gy+WHLDL5RVh+oVzKnyz1ItZrmsPniTZOYmutbn5X0umZm7VKIOslsB3gvnyT5P9mYPlT17nUXWcXvjjTfU+3rjjdepbXUx9dZbb6nev7gY0beFBW7KlCnSrl07Oeecc1xCfMeOHfLNN9+otoc9e/Z0XbCsWrVK1ep94ol4SU292lXcHccmYuOvuOIKFauK9bjNnDlTdUO5/vrrpWrVqq4LHdT4xWuMGDHCKfBP7gc1f48eTVfGEMxPH/+bb76pPusbbrhObrgBPa/tKskLnrTDhw+rYxLGk0N2kdUHU6Vd9cmSmtFWth45z/U+xkdulRaJn8ue471k/cE+kpltkwSbXSpHrJYD+38Te9xACYluI458TR03dSsvldCQPDmY2UuOZtd2HTfZR36T+LA1IvHDJDO3iuu4aVL1O8lM2ybbjg2XyvYI13ETnz9VmtfPkDWH7lDb6sdNovaGpOyKloR61yoJi21tkiM9qr4lx7LrybZjF0tMNIS1TXKjDsmhQx+oeS5durRgTvHx0qJFCxV6Bqu6Tlnfp+JyG4j5sGnlbMLYuXNn1a6rcBcGI4A1AAcofqzw5Q1mUjNSJelFZ0JBvwb95M8hfxo9JBLkoBQO3LiFC+TjBH3rrbeqi0Ujvoc4GaGA/4IFC1ziFaCF4Jw5c2TRokVeWRLr1q2rBIo+5lOxJOIG6xosm/hNnP+ZSPP6sGbB8gRLorPvMdyLYaG5ylqVlRMuJ3WpoBVyaEiOREbYJM8RpurnwbUbEiqi5edIVrZdoqKd1/Jo6oIYtZioXMl32OV4eqhr27xcTXLzciUmOkRy86Nkye57pU3VVyUuJktZB4+eCJWIMLuEhomy8GXl5EulGKe1zN1iWJIlccW6POl8uUN99t27d1frIIxhOdu/f7+6oesMBBOMCbAyQRTqcWt4Du8V3NV6TUH3bXHDtnh/8TlBrOnJQBCm7tvCeoskEVwswIOlb4t4VAjBsSPDpFE9WGJFcnJRNDxPdS7JyUMKN8SRc05ZWXkSGuqQ0NBw2bJTZNzbIu+//74SPBgDxqm71/EZQ0jihjFAADdt2tR1XGCuuEBBKTgcAx1alG5JhNU4OztEtedDvgvec1hB7SGhEhZmdx03kREhsvzAKGld9TXJx+cb4zb2EIcaj0OzuY6b8DC8lw7JyCo4xnDc4DUjIzTJc4R7HGOOvBzJyrFJdLTzTdEbB8VG54im2dVxA2Mwjpt/V2vS/apcWbJkicpwds3pFC2JR44ckSpVqlji/G25OomIP3z66adV8Kp+Fa7DD7tiYGYz8TfoqASPQWEgCFNSUsQoEhMT1UkJwsQdPEb1heKAiCguAxlus8LdI/STWGFKSk6BuIFogXjBXxVkC+eo+hHhce7jwK0gQ7igHZ4mYSE5kuC2Lf4WYlPtR5243cZid0hCXMF+QiMgKLCUL+Eh6dKx1lsSFZquRCWIjy3Ijg0Nd5ZgUfspIc4NosIdXS5invr7pf/Ww/3o7yQn3fWN9163DOqf2fl9cqVjq+L+qqSYvhxZtkbkiYmivGMdO3Ys11jwfuDY0sMPMIqQk4cPxJ/dVjQjHCEAUZH5ElWoVZ/oWcwnjxu4fNtWnyxRoRmuz9LzWMgVHJXuxw3KGcWHFbym+3FT5BgLh1tfK/YYg7B2P8bCTh7+JbVnLOl7U97vEwnwEjiDBw+WFStWqKB1mIzRrxI3nEzK07uSnHrSCjObiT/o0qWLyiB2F2NYhksNLkCjgPUKF6hwI+rAUoHH7pZF66JJeAhiLsvlJAo4cBwEP9b4LEkQWRLZz9X4pBVmNhN/ANfbpZdeqmLI4JoFO3fulCZNmsh3331n6NggXocOHarCXyBYUQIHbkk929nK5GvhsnTPA9K51osSWowVKxjQ4+Lw+QdzH2ErfJbE3JT728V+rsZASyLxNxCDaM03Y8YMV0II4rWQRWx0CYyrrrpKBcM//vjjKnkAMVK//fZbkWQWQgghfhSJc+fOLfX54lr2Ed9ZEiNCIiQ53rxFjklwoCcdLF++XFU0wM1sICsVN0IIISYRiX379i2yzgy104KZfEe+bD7sLBfQuEpjCbEz4JdULMiahJuZ32dCCLEu5U5cQdq6++3AgQPKzYMg9z/++KNiRmlxth/dLjn5zngUupqJv3jkkUfk4YcfVjXgSOAQYstRMWy4D1aQGYt4xGDPkLXCZ0mCzJKI8heFQQFUZJohmBz1wohvWXfQWY8OsPwN8RcoiIyCt7Vq1VIlTgqXu1q2bJlhYyOlYZOc/EoSFXooqLNiUW4m+PsHW+OzJObFZ2lhCBhHMVPie+btmOda7lCzg6FjIdZt0UcCg3wtTFbuvy2oM2IRBoGkquDPbg7+z5KYm3J/u/DFLFzUdO/evfLcc895VGEnvmPujoJkod7JTAwi/uGJJ54wegiEEEICSSRCCOo9NN1Bq6YPPvjAl2MjaH2VmyFLdi9xuZprxBbfUYKQigIhJHoLvlatWkmHDrRmE0KIFSi3SESzbnfQbgeNvPUel8S3LNy5UHIdznZStCISf4KktKuvvlpmz57tas+XlpYmZ511lnzxxRfqe088WbfV6BGIoJHfMXuOLF93CpmJJp5XYYI9aUUnxE43MwkgkejvHp1WZ+72Aldzn2QWMif+Y+TIkXL8+HFZs2aNKqIN1q5dqzqd3HXXXfL5558bPUTTgH7S0dGRcv2DWUYP5WQf3hd9vlfMD/M0A4hDREWNYCfUniNdavn+sySkwkTixIkTi10PFzSsiY0bN1YFta1ylVfRzNk+x7VMSyLxJyht9eeff7oEImjZsqVMmjTJlMW1jQQ1Jdet2yCpqalGD0WFAqEYOmpd+rIzDgQi5mkGMMejR4+qahtGd/+pSDTNLkez60t8RIrYbLARE2Jykfjqq6+qdlgZGRlSuXJltQ71EqOjoyU2Nla5qBo2bKh6POv9XsmpkZ2XLf/s+kctN0hoIHXj+X4S/+FwOJTQKAzW4TniCQSUGURUXl6e6mvcrl27oM38RXYzWkWaMbvZl655h4TKIfs1UtXxotiVhdg4zBhyQCqecn+7nn32WXnnnXfkvffek0aNGql1qKV22223ya233iq9evVScUz33nuvTJ8+vSLGbBkW714s2fnZarlPfbqaiX85++yz5e6771ZuZdRKBLt371bf7X79+hk9PEKCPuQgPFzkgQdEXnwRdSHFcMwUckBMKhIfffRR+frrr10CEcDF/NJLL8lll10mW7dulRdeeEEtEx+6muvR1Uz8X0z7wgsvlPr167u8Ajt37pTWrVvLJ598YvTwCAn6kANY7A8dOqRqliJJ1GjMFHJATCoSURMR7ozCYN2+ffvUMqwOCHgnPkxaoSWR+BkIQ3RVQVwiXHsA8Yn9+/c3emikFBCjh04kwRyrZ9Y5+jrkAG711atXqwszxvmTgBCJKH8B1zLczXq9tP/++0/uuOMO5Z4Cq1atkgYNGvh+tBbj373OFoeojYiYREL8DU7CaLuJGwkMICYQjxjMWGGOVponMS/ltl+///77UqVKFenUqZNERESoG4KHsQ7PASSwvPzyy2Xua/z48aqMQVxcnFSrVk2Z1Nnaz0lqRqoczjysllsltTLdFTOxBnPmzJELLrhAhZTgBvfz33//bfSwSBkuSiQQBnNykRXmaKV5kiASiTVq1JAZM2aoemlfffWVumH5jz/+UP2bdWujNyUycAIaPny4/PPPP2qfKNuAv0tPTxersz7V6d7TO60Q4m8QdwjXMioXoC4ibihzhaSVzz77zOjhkRKAoEBseDALCyvM0UrzJObllGsHNG/eXN1Otw6bOx9++KGyKKINGGotWpkNqQUW1WaJFInE/4wbN04loSGbWQdC8ZVXXpGnn35arr32WkPHRwghxAQicdSoUeqkEBMTo5ZLAyeQUwXFUQFc11ZnwyE3kUhLIjEAWDDgai4MXM4PP/ywIWMihBBiMpGIxBS4gvXlkjiduDmY0++55x5VZxGZXMWRnZ2tbjrHjh0TK4jE5omnZ7El5FSzm2fOnKliEd1BtjML5ZsX/A4HeycSK8zRSvMkAS4S0T0FVgUcrFiuCBCbiFT/efPmlZroMnbsWLGSuzkqNIqdVogh3Hfffcq9vHz5cunZs6daN3/+fBUWMmHCBKOHR0rJiHVvpRiMWGGOVponCYLElSZNmqh2fDpXXXWV7N+/3yeDGDFihPz0009KgNapU6fE7caMGaNc0voNhX2Dkdz8XNlyZItablK1idhtxhdRJdYDZa2++OILVdIKVn7ccCE3bdo0VQaLmBN4ZXbt2hXUyQ5WmKOV5kmCIHEFDdXd+eWXX5Rl73TAPkeOHCnffvutzJ49u8zainrJnWBnW9o2yXM4C5YzHpEYySWXXKJuJPCEBSpRmKFLR0VghTlaaZ7EvBjaGR0uZpTS+P7771WtRL1jC9zaqKZvVTwymykSiUEsWbJEnaS6devmsX7RokXKDYb6qIQQQoIXry9NEDhbOHj2dINp33rrLeU27tu3r9SsWdN1gzvLynhkNrP8DTHwIq64kI7du3er5wghhAQ35XI3Dxs2zOXuzcrKkttvv12VxXHnm2++kVN1YRMntCQSM4Ai+R07diyyHu048RwxJ3BLJiUlBbV70gpztNI8SRCIxKFDh3o8vv766ytiPISWRGIScEGI5LSGDRt6rN+7d6+EhhoaqUJKAYKiUaNGEsxYYY5WmicxL17/0k+ZMqViR0KKtOSrEVtDKkVUMno4xKKgRSYqCiBmGHHCIC0tTRXSPuecc4weHikBxJFu27ZNJQIGqwXKCnO00jyJeeFRZzKOZB6RgxnOUkN0NRMjeemll1RMYnJysurHjhtOVkgwe/nll40eHilFWKBcWTCXTbHCHK00T2Je6DMyGWzHR8xC7dq1ZeXKlfLpp5/KihUrVMWBG2+8Ua655hoJCwszeniEEEIqGIpEMyetMB6RGAwS02699Vajh0EIIcQA6G42GTuO7nAtN6rMgGViDipVqqRacxLzg9g1dK4K5hg2K8zRSvMk5oVHnsnYc3yPa7l2pdqGjoVYkz17Co5BHZarChysICysMEcrzZOYFx55JmPPiYITdK24WoaOhViTVq1aqU5IJDDJz8+XdevWqftgxQpztNI8iXmhSDSpJdFus0u1mGpGD4dYkHHjxsltt90mV1xxhRw+fNhVFxUuZ2J+YPVFJ6tgtv5aYY5WmicxLxSJJhWJ1WOqS6ideUXE/9x5550qq/nQoUPSsmVL+fHHH1ULzcTERKOHRgghxI9QhZiIfEe+7DuxTy3T1UyMBPUQ//rrL3njjTfk0ksvlRYtWhTpsrJs2TLDxkcIIaTioUg0ESii7dCcRVNrxtU0ejjE4mzfvl31Yq9cubJcdNFFbMUXICDJAa0UgznZwQpztNI8iXnhr75JM5trxdKSSIzj3Xfflfvuu0/69+8va9askaSkJKOHRLwEgqJateCOZ7bCHK00T2JeeHliVpFIdzMxiHPPPVceeugh5WqGJZECMbBAJiw65ARzRqwV5mileRLzQkuiiaBIJGYAJyQkrqA+Gwk8kAmbmZkZ1BmxVpijleZJzAtFoomgSCRmYMaMGUYPgRBCiAmgu9lEUCQSQgghxCxQJJqIvSf2upYpEgkhp0JISIg0b95c3QcrVpijleZJzAvdzSa0JIbYQiQphskChJDyY7PZJCEhQYIZK8zRSvMk5oWWRBOKxBqxNVRbPkIIKS95eXmyZMkSdR+sWGGOVponMS9UIiYhz5En+0/sV8t0NRNCTgcrlEyxwhytNE9iTigSTQIEoibOMgcUiYQQQggxGopEk8CkFUJExo0bJz179pTo6OgSY7F27Ngh5513ntoG3SgeeOABuuMIIaQCYOKKSWD5G0JEcnJy5IorrpAePXrI+++/X6zrDQKxRo0asmDBAtm7d68MGTJEwsLC5NlnnzVkzGYDmbBt27YN6oxYK8zRSvMk5oWWRJPgLhJrxtY0dCyEGMXYsWPl3nvvlTZt2hT7/B9//CFr166VTz75RNq3by+DBg2Sp59+WiZNmqQEJnESHh4uwY4V5mileRJzQkuiSaAlkZCyWbhwoRKQ1atXd60bOHCg3HHHHbJmzRrp0KFDsX+XnZ2tbjrHjh1T93BT665qu92ubg6HQ9109PWwYrq3RytpPaw+KF1S2AWuW4MKJyKUtD40NFTt13099ovtC4/RfX1ubq4sW7ZMOnbsqCyswTCnwmPHY2T9Yo76a+nj1SRM8hy2gu1teWK3OSTfESaaFKwPseWJzeaQPEe4YO/QYtivvh9/z6m4zwnL+CxxXLtbEwPlcyrr2CPmhyLRJFAkElI2+/bt8xCIQH+M50pi/PjxykpZmP/++09iYmLUclJSkjRq1Ei2bdsmBw8edG2DHta4bdy4UY4ePepa37BhQxUTuXr1atVfVwfFjxFPiX27nwjhNoRVaOnSpR5j6Ny5s7KCol+2Dk66Xbp0Ua+3fv161/qoqChp166dpKamytatW13r4+PjpUWLFrJnzx7ZuXOnpKWlKXGB8QXDnHbt2uVaj88pOTlZjQ9zhEgBEMfgmP1yWbqnYcGcKv8s1WKWy+qDN0lmbmLBnBI/l4TIrfLfvrvlsD1cHnhA5NChQ2q/RsypuM+pZk2nV2nz5s1y/PjxgPucSjv2MCdifmxaAHcOhzUABygO5kqVKkkgM/jTwfLr5l/V8oH7D7CYNgma7+Ho0aPl+eefL3Uf69atUyc4nQ8//FDuueceJXbcufXWW2X79u3y+++/u9ZlZGQooffLL78o97O3lsS6desqUaCPmZbEwLYkrlixQomepdPDpF2L8lkSl68T6XWtyPz586VTp06GzMlqlsQjR45IlSpVguL8HczQkmiy7OYwe5hUja5q9HAI8Rn33XefDBs2rNRtYBnxBiSsLF682GPd/v37Xc+VREREhLoVBidD3NzRT2KFKSl5oKT1hfd7KutxAi5ufUljxDpdKOBe3ybQ51R4PUSHPkd9X7pF0Sa5ElpMtH2IPbf4MdpzVHA+QlrxOvp+/D2n4tbrYs99noH0OZW2nsk4gQFFosnczTXjarLbCgkq4HbCzRcg6xllcg4cOKDcbWDGjBnKEtGyZUufvEagg5MvLGrBfBK2whytNE9iXqhGTMDuY7vlQPoBtVynUh2jh0OIYaAG4vLly9U9XF1Yxu3EiRPq+QEDBigxeMMNNyj3ItzOjz76qAwfPrxYS6FVsUKmtxXmaKV5EnNCkWgCvlr7lWt5YKOBho6FECN5/PHHVfzVE088oYQhlnHTA+5hUfnpp5/UPayK119/vaqT+NRTTxk9dNMAcY1EhGDOHrXCHK00T2Je6G42AV+u+dK1fEXLKwwdCyFGgoQV3EoDma1IUiGEEFKx0JJoMDuO7pCFuxaq5TbV2kiLpBZGD4kQQgghhCLRaKavne5avrLVlYaOhRASHFgh0cEKc7TSPIk5obvZYOhqJoT4EpQtQTHkYMYKc7TSPIl5oSXRQFLSUmTR7kVquV31dtIssZnRQyKEBDgogowi5AHcJ6FMrDBHK82TmBeKRAOZtnqaa5muZkKIL0AmLNqpBXNGrBXmaKV5EvNCkWgQuDL8YPkHrscUiYQQQggxExSJBjF3+1zZeGijWu5bv680rtLY6CERQgghhLigSDSId5e961q+teOtho6FEBI8oOduVFSUqwdxMGKFOVppnsS8MLvZAA5nHnaVvqkSVUUuaXGJ0UMihARRyZR27dpJMGOFOVppnsS80JJoAB+v+Fiy87PV8pC2QyQyNNLoIRFCggSHwyEHDhxQ98GKFeZopXkS80KRaEDCirur+ZZOtxg6HkJIcAFBsXXr1qAWFlaYo5XmScwLRaKfWbZ3maw5uEYt96rbS1omtTR6SIQQQgghRaBINLDDypB2QwwdCyGEEEJISVAk+tnV/OVap0gMsYXIpS0uNXpIhJAgA5mw8fHxQZ0Ra4U5WmmexLwwu9mPLN69WLXiA/0a9pPE6ESjh0QICcKM2BYtWkgwY4U5WmmexLzQkmiQq/mqVlcZOhZCSHCCJIddu3YFdbKDFeZopXkS80KR6CccmsPlag61h8rFzS82ekiEkCDECsLCCnO00jyJeaFI9BP/7PpHdh3bpZYHNBqgimgTQgghhJgVikQ/QVczIYQQQgIJikQ/MWPrDFdW84XNLjR6OISQIMVut0tSUpK6D1asMEcrzZOYF2Y3+4ED6Qdk7cG1arlzrc6SEJlg9JAIIUEKBEWjRo0kmLHCHK00T2JeeHniB+akzHEt963f19CxEEKCGyQ5bNmyJaiTHawwRyvNk5gXikQ/MDtltmu5T3IfQ8dCCAluICgOHjwY1MLCCnO00jyJeaFI9ANzts9xxSP2qtfL6OEQQgghhJQJRaIf4hHXHFyjljvV6iSVIioZPSRCCCGEkDKhSKxg5m6f61rum8x4REJIxSc71KlTJ6gzYq0wRyvNk5gXZjf7MR6RSSuEEH8Ji2DGCnO00jyJeeHliZ9EIuMRCSH+ID8/X9atW6fugxUrzNFK8yTmhSKxAmE8IiHE32iaJkePHlX3wYoV5mileRLzQpHop3hElr4hhBBCSCBBkViBsIg2IYQQQgIVisQKZPZ2Zzyi3WaXM+qdYfRwCCEWAMkODRs2DOqMWCvM0UrzJOaF2c0VxMH0g7L6wGq13Kkm4xEJIf4BgqJatWoSzFhhjlaaJzEvvDypIBiPSAgxAmTCrlixIqgzYq0wRyvNk5gXisQKgvURCSFGgEzYzMzMoM6ItcIcrTRPYl4oEiu4XzPjEQkhhBASiBgqEufOnSsXXHCB1KpVS2w2m3z33XcSDKRmpMqqA6vUcseaHSU+Mt7oIRFCCCGEBI5ITE9Pl3bt2smkSZMkmGA8IiHEKEJCQqR58+bqPlixwhytNE9iXgzNbh40aJC6BRuMRySEGAW8MgkJCRLMWGGOVponMS8BFZOYnZ0tx44d87iZkT+3/qnuGY9ICPE3eXl5smTJEnUfrFhhjlaaJzEvASUSx48fL/Hx8a5b3bp1xWxsPrxZ1qWuU8vdaneThEheBRJC/IsVSqZYYY5WmicxJwElEseMGaOaneu3nTt3itn4YcMPruWLml1k6FgIIYQQQizRcSUiIkLdzMz3G753LV/UnCKREEIIIYFJQFkSA6H0zbwd89Ry06pNpXlic6OHRAixGMiEbdu2bVBnxFphjlaaJzEvhloST5w4IZs3b3Y93rZtmyxfvlyqVKki9erVk0Djl02/iENzqOULm15o9HAIIRYlPDxcgh0rzNFK8yTmxFBL4tKlS6VDhw7qBkaNGqWWH3/8cQlE6GomhJgh0QG/rcGc8GCFOVppnsS8GGpJ7Nu3b9D0pMzKy5LfN/+ulhOjE6VHnR5GD4kQQggh5JRhTKKP+GnjT5Kem66Wz296voTYGUNCSHlISUmRm2++WRo0aCBRUVHSqFEjeeKJJyQnJ8dju5UrV8qZZ54pkZGRqgzWCy+8YNiYCSEkmAmo7GazkpufK4/+9ajr8ZUtrzR0PIQEIuvXrxeHwyGTJ0+Wxo0by+rVq+WWW25R7TtfeukltQ0K6A8YMED69+8vb7/9tqxatUpuuukm1ZXi1ltvNXoKhBASVFAk+oB3l70rGw5tUMvosHJu43ONHhIhAce5556rbjoNGzaUDRs2yFtvveUSiZ9++qmyLH7wwQcqoL9Vq1Yq2e2VV16hSDwJMmE7d+4c1BmxVpijleZJzAtF4mlyNOuoPDH7Cdfjl855SfXbJIScPiiaj2oHOgsXLpTevXt7ZHwOHDhQnn/+eTly5IhUrly5xJaeuOnoLT3R7kxveWa329UN1kzcdPT1SB5wj6EuaT1O6PgNKNxKTT/RF05CKGl9aGio2q/7euwX2xceo/t6bJ+VlaXc8VgXDHMqPHY8hzmibq7+e6uPd922MHFIwW+wTfLEJg7RJEy0YtY7JFw2bEMWsajX0ffj7zkV9zlhe1wUFc5wDpTPqaxjj5gfisTT5Ll5z6n6iODq1ldLtzrdjB4SIUEBymO9/vrrLisi2Ldvn4pZdKd69equ50oSiWjpOXbs2CLr//vvP4mJiVHLSUlJKg4SpbgOHjzo2qZOnTrqtnHjRiVa3S2d1apVU27xzMxM1/rmzZsr9zf27X4iRL07nOyRreoOLEUQAoi11MFJt0uXLur14IbXQaxmu3btJDU1VbZu3epajzalLVq0kD179qhOVGlpaWoMGF8wzGnXrl2u9fickpOTZfHixepvdZEIURwdHSk/L7tE1qU1dG3/888/K2vzbbfdJImJia71n3/+uXq9Bx64W81h9Gi7HD9+XM3biDkV9znVrFlT9u7dK3FxcWpsgfY5lXbsuZe/I+bFpgVwejGsAThAcTBXqlTJ76+/dM9S6fF+D8lz5El4SLisH75eGlT2PIEREuyU9T0cPXq0svSVxrp169QJTmf37t3Sp08fVQHhvffec61HPCJEIuIWddauXavczrjHycpbSyKSXg4dOuQac7BYEnNzc2XZsmXSsWNHCQsLC4o5FR47Hi9ZskTNUX8trIdIgSBxHzv2gxvWFbde3zcEJMSLmaxuWMZnidJw7i7nQPmcSjv2YPmHl8Co8zfxDloST5H0nHS57pvrlEAED/Z8kAKRkGK47777ZNiwYaVuA8uIDiwSZ511lvTs2VPeeecdj+1q1Kgh+/fv91inP8Zz5W3piZMhbu7oJ7HClBQXVtL6wvs9lfU4ARe3vqQxYp0uFHRXczDMqfB6iA59ju77QhMGXzVi8Peciluvi73C8wyUz6m09YyzDAwoEk+RUb+Pko2HNqrlzrU6y+N9ArMAOCEVDdxOuHkDLIgQiJ06dZIpU6YUObn06NFDHnnkEWUtg5UMzJgxQ5o1a1aiq9mKWOEEbIU5WmmexJywTuIptt97Z5nTwhEdFi2fXvqphIU4T1iEkFMDAhHuZViCEIcItyHiDHHTufbaa1VsFeoprlmzRqZNmyYTJkxQ3ZqIE1h/EFNWktUoGLDCHK00T2JeeOSdQmeVu369y/X4tYGvSdOqTQ0dEyHBACyCCGbHDbFh7uhxV4h9/OOPP2T48OHK2og4MrTxZPkbz/cKcV54r4K10oIV5mileRLzQktiOXl14auy5cgWtdy3fl/5X8f/GT0kQoICxC3qyQWFb+4gU/Pvv/9WJVCQqPDQQw8ZNmYzgmQDZKUGc4kRK8zRSvMk5oUisRzsOrZLnvn7GbVst9ll4rkTeXVHCCGEkKCEIrEcPDjjQcnIzVDLd3a+U9pUb2P0kAghhBBCKgSKRC9Zd3CdfL76c7VcNaqqPHXWU0YPiRBCigDvhnuR6WDECnO00jyJeWHiipe89s9rruWHz3xYKkex3AYhxJwlU9AZI5ixwhytNE9iXmhJ9IKD6Qflo5UfqeW48DgmqxBCTAsKTR84cMCjy0WwYYU5WmmexLxQJHrB20vfVqVvwC0db5FKEWwhRAgxJxAU6K0bzMLCCnO00jyJeaFILIPsvGyZtGSSK6N5ZLeRRg+JEEIIIaTCoUgsAySr7E939oa9rMVlUj+hvtFDIoQQQgipcCgSy+CtpW+5lu/tfq+hYyGEkLJAJmywd+iwwhytNE9iXpjdXAqr9q+SxbsXq+X2NdpL9zrdjR4SIYSUmRHbokULCWasMEcrzZOYF1oSS+H9/953Ld/c4WZezRFCTA+SHNCuMJiTHawwRyvNk5gXisRSElY+XvmxWo4IiZDr2lxn9JAIIaRMrCAsrDBHK82TmBeKxBL4bv13cjjzsFq+rOVlLJ5NCCGEEEtBkeiFq/l/HVg8mxBCCCHWgokrhdA0TV7951WZsXWGetywckPpU7+P0cMihBCvsNvtkpSUpO6DFSvM0UrzJOaFItGN3PxcGfHLCHln2TuudXd3u1sV0SaEkEAAgqJRo0YSzFhhjlaaJzEvVD9uiSqXfXmZh0B8vPfjMrIrO6wQQgIHJDls2bIlqJMdrDBHK82TmBeKxJMC8fKvLpcfN/6oHoeHhMsnl3wiY88ay7I3hJCAAoLi4MGDQS0srDBHK82TmBfLu5vTc9LlqulXyc+bflaPo0Kj5Kdrf5KzG5xt9NAIIYQQQgzD0iJxe9p2uXjaxbJ833L1ODosWn6+9mfpW7+v0UMjhFRwgho4duyYBBt5eXmSnp6u5hYaGpw/8VaYY7DPU//u6d9FYk6C66grB/N2zJNLpl0iqRmp6nFceJz8cM0PFIiEWIDjx4+r+7p16xo9FELE6t9F9Kcm5sSSIvGfXf/IuZ+cK+m56epx4yqN5furv5eWSS2NHhohxA/UqlVLdu7cKXFxcUEXdwwLDcQv5lepUiUJRqwwx2CfJyyIEIj4LhLzYjmRCNfyoE8HuQRi/4b95cvLv2RHFUIsBEqL1KlTR4IZiIpgExZWnGMwz5MWRPNjKZG49chWGfDxAEnLSlOPkZzy4zU/SmRopNFDI4QQQggxFZYpgZOTnyNXT79aDmYcVI971OmhXMwUiIQQQgghFhaJj8x8RJbsWeKKQUQWc2x4rNHDIoQQnxIRESFPPPGEug9WrDBHK82TmBebFsD55wjqRUzD0aNHS43X+HXTrzL4s8FqOcweJgtvXiidanXy40gJCV68/R4SQggJLILekrjn+B4Z8t0Q1+MXz3mRApEQQgghxOoicdexXRJqd+bnXND0Armr211GD4kQQgghxPQEvUjsWrurrLh9hQxtN1SmXDQl6GqiEUIIIYRUBJYogVMtppp8ePGHRg+DEEIIISRgCHpLIiGEWIFx48ZJz549JTo6WhISEordZseOHXLeeeepbapVqyYPPPCA6g8caEyaNEnq168vkZGR0q1bN1m8eLEEMnPnzpULLrhAdR+Bt+u7777zeB75pY8//rjUrFlToqKipH///rJp0ybDxkusA0UiIYQEATk5OXLFFVfIHXfcUezz+fn5SiBiuwULFsjUqVPlww8/VOIjkJg2bZqMGjVKlYZZtmyZtGvXTgYOHCgHDhyQQCU9PV3NA+K3OF544QWZOHGivP3227Jo0SKJiYlRc87KyvL7WInF0AKYo0ePonyPuieEGAO/h+ZiypQpWnx8fJH1v/zyi2a327V9+/a51r311ltapUqVtOzsbC1Q6Nq1qzZ8+HDX4/z8fK1WrVra+PHjtWAA36Vvv/3W9djhcGg1atTQXnzxRde6tLQ0LSIiQvv8888NGiWxCrQkEkKIBVi4cKG0adNGqlev7loHaxTqXK5Zs0YCAVhB//33X+Vude/DjceYXzCybds22bdvn8ecUZcUbvZgnTMxDxSJhBBiASA03AUi0B/juUAgNTVVuc2Lm0egzKG86POy0pyJeaBIJIQQkzJ69GiVyFDabf369UYPkxASpFiiBA4hhAQi9913nwwbNqzUbRo2bOjVvmrUqFEkC3j//v2u5wKBxMRECQkJcY1bB48DZQ7lRZ8X5ojsZh08bt++vYEjI1aAlkRCCDEpSUlJ0rx581Jv4eHhXu2rR48esmrVKo8s4BkzZqh+2y1btpRAAHPt1KmTzJw507XO4XCox5hfMNKgQQMlFN3njDhSZDkH65yJeaAlkRBCggDUQDx8+LC6R9ze8uXL1frGjRtLbGysDBgwQInBG264QZVUQTzbo48+KsOHD5eIiAgJFFD+ZujQodK5c2fp2rWrvPbaa6qEzI033iiByokTJ2Tz5s0eySr4/KpUqSL16tWTe+65R5555hlp0qSJEo2PPfaYqql48cUXGzpuYgG0AIalNwgxHn4PzcHQoUPV51D4NmvWLNc2KSkp2qBBg7SoqCgtMTFRu++++7Tc3Fwt0Hj99de1evXqaeHh4aokzj///KMFMviMivvs8JnqZXAee+wxrXr16qr0Tb9+/bQNGzYYPWxiAWz4TwIUmNxRCuDo0aPKZUII8T/8HhJCSHDCmERCCCGEEFIEikRCCCGEEBJciSu6pxzuLkKIMejfvwCOXCGEEBJsIvH48ePqvm7dukYPhRDLg+8jYhMJIYQEBwGduIL6WHv27JG4uDjVeaA0SweE5M6dO4MisD6Y5sO5BP5c8BMCgYiSHOijSwghJDgIaEsiTkh16tTxenuc7AL95B2s8+FcAnsutCASQkjwwct+QgghhBBSBIpEQgghhBBiTZGIllNPPPFEQLWessp8OBdzEkxzIeYFseTfffedWk5JSVGP9XaCZqV3797y2Wef+f11c3JypH79+rJ06VK/vzaxLgGduEIIIVYEvZnPPPNMqVGjhnzzzTeu9eh607p1axkyZIiMGzdOzA5E4bfffqt6EGNOBw8elMTERAkN9V24PIQVeh/jdrr88MMP8sADD8i6desMSdJ644031Ps1c+ZMv782sSaWsCQSQkgwERISIh9++KH89ttv8umnn7rWjxw5UqpUqaKswGYBFjBv5wTR60uB6GsmTpwoN954o2FZ/Nddd53MmzdP1qxZY8jrE+tBkUgIIQFI06ZN5bnnnlPCcO/evfL999/LF198IR999JGEh4eX+He7du2Sa665RonJmJgY6dy5syxatMj1/FtvvSWNGjVS+2jWrJl8/PHHHn+/Y8cOueiiiyQ2NlZlvl955ZWyf/9+1/NPPvmktG/fXt577z1p0KCBREZGqvWbNm1Srlo8btmypcyYMcNjv4XdzbNnz1aPYTXDGKOjo6Vnz56yYcMG199s2bJFjaV69epqPF26dJE///zT9Xzfvn1l+/btcu+996p9uZdKg9iCNTYqKkqVe7rrrrskPT29xPcNVs6//vpLLrjgAo/12OfkyZPl/PPPV2Ns0aKFLFy4UDZv3qxeH+8xxo2xFn6PPvjgA6lXr54a+5133qmsqS+88IISy9WqVStiDa5cubL06tVLfc6E+AW4mwkhhAQeDodD69u3r9avXz+tWrVq2tNPP13q9sePH9caNmyonXnmmdrff/+tbdq0SZs2bZq2YMEC9fw333yjhYWFaZMmTdI2bNigvfzyy1pISIj2119/qefz8/O19u3ba2eccYa2dOlS7Z9//tE6deqk9enTx/UaTzzxhBYTE6Ode+652rJly7QVK1aov2vdurUa5/Lly7U5c+ZoHTp0QKiT9u2336q/27Ztm3r833//qcezZs1Sj7t166bNnj1bW7NmjRp3z549Xa+Ffb399tvaqlWrtI0bN2qPPvqoFhkZqW3fvl09f+jQIa1OnTraU089pe3du1fdwObNm9UYX331VfV38+fPV+MZNmxYie8d3hv8DebiDsZYu3Zt9T7iPbv44ou1+vXra2effbb222+/aWvXrtW6d++u3g/39yg2Nla7/PLL1bx++OEHLTw8XBs4cKA2cuRIbf369doHH3yg9o332J2HHnrI4/0mpCKhSCSEkABm3bp1Sky0adNGy83NLXXbyZMna3FxcUo8FQcE2C233OKx7oorrtAGDx6slv/44w8lGnfs2OF6HiIHr7948WKXAILQPHDggGub33//XQsNDdV2797tWvfrr796JRL//PNP19/8/PPPal1mZmaJc2zVqpX2+uuvux4nJycrMejOzTffrN16660e6yCa7XZ7ifvGPiCwC4PxQJzqLFy4UK17//33Xes+//xzJV518B5FR0drx44dc62DQIS4dBehzZo108aPH+/xehMmTFDbEeIPLOFunjRpkgpehpujW7dusnjxYjE748ePV64TdJOB2wGB3e5uFpCVlSXDhw+XqlWrKnfFZZdd5uH2MStwkcFF4x5IHkhz2b17t1x//fVqrHBVtWnTxiPjEOeNxx9/XGrWrKme79+/v3K1mRG4tx577DHlFsRY4WZ8+umnPfowB9J8rAhclnBzbtu2TbmSdW6//Xb1XdJvAK7cDh06KFdzcSAhA+5Md/AY6/Xn4Zp1b4UK13FCQoJrG5CcnCxJSUke+8XfoCuPTo8ePbyaX9u2bV3LOAbBgQMH1P2JEyfk/vvvVy5ejAHzxGvBJV4aK1asUDGd7u/PwIEDVRcvvI/FkZmZ6XKdlzZGuL4Bfhfc1+E3Tu9zDnBOwu+7+zZ4L93jHbFOn6sOvoMZGRmlzo8QXxH0InHatGkyatQoFci9bNkyadeunfoxKPzFMxtz5sxRoumff/5RsTu5ubkyYMAAj5gZxNn8+OOP8tVXX6nt0aLw0ksvFTOzZMkSFb/j/qMaSHM5cuSIOmmGhYXJr7/+KmvXrpWXX35ZxQrpIKYIAe5vv/22ivVCTBKOOZwkzMbzzz+vYtCQNYmTKx5j/K+//npAzsdqLFiwQF599VX56aefpGvXrnLzzTe7BP5TTz2lRKF+0wWGP8Ax4ivwXdPRYwoh5gAEIrJ9n332Wfn777/VPCHOykqWgbi87bbbPN4fCEdc/OBCqTiQdY3vv7djLG3chZ/XtylunfvfgMOHD3sIcEIqFC3I6dq1qzZ8+HDXY5jya9WqVcSEb3bgusHHhVgekJaWplw6X331VRG3E9wdZgTxUE2aNNFmzJihYmruvvvugJsL4oEQj1VajFiNGjW0F1980bUO84uIiFAuJ7Nx3nnnaTfddJPHuksvvVS77rrrAnI+ViI9PV19nxDDprtrEef25ptvlvg3H374oVapUqVyu5txnJTlbl6yZInLldquXTuPfeju5j179rjWIV7PG3fzkSNHXH+D57AO2wLEOSLe0P03Jj4+3vXbAvAevfTSSx7jufbaa1V8ZHnA/Gw2m3b48GGP9e5zKG4exc2luPdo6NCh2kUXXeSxzv13Uuf6669XN0L8QVBbEnE1+e+//yr3mA5M+XiM7LNAAvXPgO4mwrxgXXSfW/PmzVWmnFnnBsvoeeed5zHmQJsL6qQh0/KKK65QYQBw3b377ruu5+Gq2rdvn8dc0NcYYQ5mmwtA1iWyRzdu3Kgew5qCrM9BgwYF5HysxJgxY5TVEOEbuvvypZdekgcffFBlChcHspqROYvwlfnz58vWrVvl66+/dn2WqAEINyysy7CqvfLKK6oOIyx2AMcBLHUoxQLPDEJ3UJOxT58+6ntREvg7ZGMPHTpUHWOw+j3yyCOn/R40adJEjU+3BF577bVFLG94X+bOnavCRFJTU9W6hx56SFlhR4wYof4Wc0V2OB6XBL7rsCbifTMSvHfwKhHiD4JaJOIHATFXeoyIDh7jxBco4EcP8Xtwc6JQLsD4UaICcTiBMDeUbMBJBbGWhQmkueCkihMoTk6///673HHHHap0xtSpU9Xz+ngD5ZgbPXq0XH311UqUw9WFEyGONYiAQJyPVUBIBmKtp0yZouIRdeBChfB3dzu7g+/ZH3/8oS5wBg8erAQfRCZqFAKIxwkTJiix2apVKxUagtdAKRfd/QkxhfAKlLOB+GvYsKEK6ykNXJzDLYy4PrjF//e///mk2DdELMaCOaM0DcIgOnbs6LEN3O4QzXAj625ahLvgPcTFEcrg4LhH3K17zGRh8B6hRqJ7XUp/AzEPg8Hll19u2BiIxdCCGGTSYYp6eQedBx54QLmhA4Xbb79dZejt3LnTte7TTz9VJRMK06VLF+3BBx/UzARcUyjPgVIYxblRAmkucIv36NHDYx3cfShxAVBKA8ecu1tNd9ldeeWVmtmAyxglQnC/cuVK7aOPPtKqVKmi3JKBOB9CKhKU0MH3IyUlxZDXx3du3Lhxhrw2sSZBbUmEawBXf4WzZPEYLpdAAO4PBKXPmjVL6tSp41qP8cOdnpaWZvq5wZ2MRCFc4aObAm64ikcyBJZhlQqUuSC7EhmI7iCzUs+m1McbKMcc3Iu6NRFWpRtuuEElEekW30CbDyEVCY75999/v8zs6YoAv5H4juL7SYi/CGqRCNdKp06dPPpcwnWLx96WXzAKuIogEOGiQZV/lChxB/OCe9B9biiRgx8vs82tX79+smrVKo9MQsQvwaWpLwfKXODyL1yKCC4rlPwA+JxwInGfC8peICvYbHMBKKVRuMUYLqz0uK5Amw8hFQ1c8nBRG3E+e/TRR/2WoU6IQgtyvvjiC5WJCfcZKt+jgGpCQoK2b98+zczccccdKksPnQb0TgG4ZWRkeLih69Wrp7ohoPsB3KCFXaFmpXDWXqDMBQWDkaUJlw+6VcBVjqK4n3zyiWub5557Th1j33//vXLhImOxQYMGpRYANgpkVKJbxE8//aSyMtFVIjEx0cPNH0jzIYQQ4juCXiQCVN+HAEHcG2IRC7c5MiPQ78XdpkyZ4toGJ+k777xTq1y5shIql1xyiavtVKCJxECay48//qhKb+Dio3nz5to777zj8TzKxjz22GNa9erV1TYotYF2XWYEHR/wOeD7gY4Q6CjxyCOPaNnZ2QE5H0IIIb7Dhv9oVCWEEEIIIZaJSSSEEEIIIacGRSIhhBBCCCkCRSIhhBBCCCkCRSIhhBBCCCkCRSIhhBBCCCkCRSIhhBBCCCkCRSIhhBBCCCkCRSIJCOrXry+vvfaa0cMghBBCLANFIinCsGHDVH9S0LdvX7nnnnv89toffvihJCQkFFm/ZMkSufXWW/02DkIIIcTqhBo9AGINcnJyVIP6UyUpKcmn4yGEEEJI6dCSSEq1KM6ZM0cmTJggNptN3VJSUtRzq1evlkGDBklsbKxUr15dbrjhBklNTXX9LSyQI0aMUFbIxMREGThwoFr/yiuvSJs2bSQmJkbq1q0rd955p5w4cUI9N3v2bLnxxhvl6NGjrtd78skni3U379ixQy666CL1+pUqVZIrr7xS9u/f73oef9e+fXv5+OOP1d/Gx8fL1VdfLcePH/fb+0cIIYQEMhSJpEQgDnv06CG33HKL7N27V90g7NLS0uTss8+WDh06yNKlS+W3335TAg1CzZ2pU6cq6+H8+fPl7bffVuvsdrtMnDhR1qxZo57/66+/5MEHH1TP9ezZUwlBiD799e6///4i43I4HEogHj58WInYGTNmyNatW+Wqq67y2G7Lli3y3XffyU8//aRu2Pa5556r0PeMEEIICRbobiYlAusbRF50dLTUqFHDtf6NN95QAvHZZ591rfvggw+UgNy4caM0bdpUrWvSpIm88MILHvt0j2+Ehe+ZZ56R22+/Xd588031WnhNWBDdX68wM2fOlFWrVsm2bdvUa4KPPvpIWrVqpWIXu3Tp4hKTiHGMi4tTj2HtxN+OGzfOZ+8RIYQQEqzQkkjKzYoVK2TWrFnK1avfmjdv7rLe6XTq1KnI3/7555/Sr18/qV27thJvEG6HDh2SjIwMr19/3bp1ShzqAhG0bNlSJbzgOXcRqgtEULNmTTlw4MApzZkQQgixGrQkknKDGMILLrhAnn/++SLPQYjpIO7QHcQznn/++XLHHXcoa16VKlVk3rx5cvPNN6vEFlgsfUlYWJjHY1goYV0khBBCSNlQJJJSgQs4Pz/fY13Hjh3l66+/Vpa60FDvD6F///1XibSXX35ZxSaCL7/8sszXK0yLFi1k586d6qZbE9euXatiJWFRJIQQQsjpQ3czKRUIwUWLFikrILKXIfKGDx+ukkauueYaFQMIF/Pvv/+uMpNLE3iNGzeW3Nxcef3111WiCTKP9YQW99eDpRKxg3i94tzQ/fv3VxnS1113nSxbtkwWL14sQ4YMkT59+kjnzp0r5H0ghBBCrAZFIikVZBeHhIQoCx1qFaL0TK1atVTGMgThgAEDlGBDQgpiAnULYXG0a9dOlcCBm7p169by6aefyvjx4z22QYYzElmQqYzXK5z4oruNv//+e6lcubL07t1bicaGDRvKtGnTKuQ9IIQQQqyITdM0zehBEEIIIYQQc0FLIiGEEEIIKQJFIiGEEEIIKQJFIiGEEEIIKQJFIiGEEEIIKQJFIiGEEEIIKQJFIiGEEEIIKQJFIiGEEEIIKQJFIiGEEEIIKQJFIiGEEEIIKQJFIiGEEEIIKQJFIiGEEEIIKQJFIiGEEEIIkcL8H5FxhPU99ZCgAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot the results of the optimization including the optimization trajectory and the resulting geometry of the\n", - "# central and surrounding patches compared to the initial state\n", - "plot_optimization_results(\n", - " figure_of_merit_multi_patch,\n", - " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", - " params_to_boxes_multi_patch(init_params),\n", - " params_to_boxes_multi_patch(patch_params),\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can also compare the S11 and directivity for the final optimization state with that of the initial state. On the S11 plot, we indicate the frequencies that were optimized for. We can see from the S11 that two of the frequencies have significantly improved reflection and directivity while the third is only minorly improved over the initial state." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a35a11ddf9eb400c8850ea4c0d04d945", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
20:07:18 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m20:07:18 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
20:07:19 EDT Maximum FlexCredit cost: 0.642 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m20:07:19 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.642\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "87181c3d19b84e2ead019a7f2d878758", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
20:07:20 EDT Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m20:07:20 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b4beca3a4c1a4342ae9eee7d4e4040ab",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4b977c4619954757b88e2fba723ae5a5",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
20:08:58 EDT Started working on Batch containing 1 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m20:08:58 EDT\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
20:08:59 EDT Maximum FlexCredit cost: 0.642 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m20:08:59 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.642\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "cc967b6ca20b4690bccef4bdf3bec883", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "609635407c194ed081688abba862d569",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Helper function for evaluating antenna performance for the multi patch geometry\n", - "evaluate_multi_antenna = lambda patch_params, eval_s_params_freqs, opt_freqs: (\n", - " evaluate_antenna(\n", - " params_to_boxes_multi_patch(patch_params),\n", - " eval_s_params_freqs,\n", - " opt_freqs,\n", - " sub_x_multi_patch,\n", - " sub_y_multi_patch,\n", - " )\n", - ")\n", - "# Compute S11 and directivity for the inital multi patch geometry\n", - "s_matrix_init, sim_data_init, theta = evaluate_multi_antenna(\n", - " init_params, freqs_s_params, opt_freqs_multi_patch\n", - ")\n", - "# Compute S11 and directivity for the optimized multi patch geometry\n", - "s_matrix_final, sim_data_final, theta = evaluate_multi_antenna(\n", - " patch_params, freqs_s_params, opt_freqs_multi_patch\n", - ")\n", - "# Plot the comparison in S11 and directivity for the initial and optimized antennas\n", - "plot_antenna_comparison(\n", - " [s_matrix_init, s_matrix_final],\n", - " [sim_data_init, sim_data_final],\n", - " opt_freqs_multi_patch,\n", - " theta,\n", - " [\"before\", \"after\"],\n", - ")" - ] - } - ], - "metadata": { - "description": "Patch antennas are widely used in wireless communication applications due to their simple design, ease of fabrication, and low profile. In this notebook, we will demonstrate how to use Tidy3D to simulate a rectangular patch antenna and compute key performance metrics. These include S-parameters using the TerminalComponentModeler, as well as directivity, axial ratio, and polarized far-field components using the DirectivityMonitor.", - "feature_image": "./img/PatchAntenna.png", - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "keywords": "patch antenna, directivity, axial ratio, S-parameters, Tidy3d, FDTD", - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.8" - }, - "title": "How to compute directivity and S-parameters of patch antenna using Tidy3D FDTD" - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/Autograd28RFPatchAntennaS11_v3.ipynb b/Autograd28RFPatchAntennaS11_v3.ipynb deleted file mode 100644 index 649454a3..00000000 --- a/Autograd28RFPatchAntennaS11_v3.ipynb +++ /dev/null @@ -1,4092 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [] - }, - "source": [ - "# Adjoint Optimization of planar RF Antennas\n", - "\n", - "In the [Antenna Characteristics](https://www.flexcompute.com/tidy3d/examples/notebooks/AntennaCharacteristics/) notebook, we introduce the characterization of a rectangular patch antenna using the RF solver. If we were to design that patch antenna for a specific application, we would have two parameters to optimize: the patch width and height. By tuning these parameters, one can search for a structure that is resonant at a desired frequency and is impedance-matched to the antenna feed line. However, to overcome traditional limitations of patch antennas, many designers move beyond the two-parameter rectangular restriction and design antennas that have larger bandwidth or special characteristics, like circular polarization. For example, in the [Circularly Polarized Patch Antenna](https://www.flexcompute.com/tidy3d/examples/notebooks/CircularlyPolarizedPatchAntenna/) notebook, we reproduce a patch antenna simulation from the literature that achieves a low-profile design of circularly polarized radiation via a non-rectangular radiator surrounded by rectangular parasitic strips. As the antenna shape becomes more arbitrary and complex and as the number of supporting structures grows, a designer may want to use a method that directly optimizes across all of the parameters simulataneously. In tidy3d, we can do this via gradient-based optimizations powered by the adjoint method and made accessible through automatic differentiation (autograd). In this notebook, we first demonstrate the simplest patch antenna optimization where we find the optimal width/height of a patch based on a desired radiation frequency. In this optimization (and the second one as well), we fix the substrate material and thickness and focus our deisng efforts on the antenna shape. For the second example, we show how to optimize an antenna for dual-band operation by introducing an optimizable inset, fins, and passive radiating structures around the central patch. Here, the size of the optimization problem is increased and the optimizer simultaneously tunes the dimensions and positions of all of the structures. We show these two optimization geometries below. In both cases, we are optimizing the patch shape on top of a substrate and ground plane. The antennas are excited by an offset feed line and radiate into free space. In the middle, we show the simple patch geometry where the optimization parameters are just the patch width and height. On the right, we show the higher dimensional optimization where the geometric parameters and relative positions for multiple patches can be optimized simultaneously.\n", - "\n", - "
\n", - " \n", - " \n", - " \n", - "
" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "# Tidy3d import and set logging level\n", - "import tidy3d as td\n", - "\n", - "td.config.logging_level = \"ERROR\"\n", - "\n", - "# External modules needed for this notebook\n", - "import numpy as np\n", - "import autograd.numpy as anp\n", - "from autograd import value_and_grad\n", - "import optax\n", - "\n", - "# Tidy3d plugin import\n", - "import tidy3d.plugins.smatrix as smatrix\n", - "from tidy3d.plugins.microwave import rf_material_library\n", - "from tidy3d.web import run\n", - "\n", - "# Libraries and configuration for printing and display\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib.patches as patches\n", - "from rich.console import Console\n", - "from rich.text import Text\n", - "\n", - "console = Console()\n", - "\n", - "print_decimal_places = 2\n", - "num_optimization_prints = 10" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Configuration and Parameters\n", - "\n", - "In this first section, we set up a variety of parameters for the optimization problems, including the frequency bands and resonance targets as well as useful geometric parameters. Similar to other RF examples, we introduce a scaling factor to convert the default unit in Tidy3D of micrometers to millimeters (mm), which is more commonly used in antenna simulations. Thus, the default unit when looking at constants in this notebook is millimeters." - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [], - "source": [ - "# length scales and geometric parameters for optimization\n", - "mm = 1e3 # mm scaling\n", - "\n", - "# feedline parameters\n", - "feed_x = 2.46 * mm # width of feed\n", - "feed_y = 20 * mm # length of feed\n", - "feed_offset = 2.09 * mm # feed offset from center of patch\n", - "\n", - "# substrate geometric parameters - broken into substrate sizes for the single patch optimization that comes\n", - "# first and the multi-patch optimization that comes second where we need a larger substrate to\n", - "# support the larger antenna geometry\n", - "single_patch_sub_width = 23.34 * mm\n", - "single_patch_sub_height_extension = 25 * mm\n", - "\n", - "sub_x_single_patch = [-0.5 * single_patch_sub_width, 0.5 * single_patch_sub_width]\n", - "sub_y_single_patch = [-feed_y, single_patch_sub_height_extension]\n", - "sub_z = 0.794 * mm\n", - "sub_z = 0.68 * mm\n", - "\n", - "multi_patch_sub_width = 3 * 23.34 * mm\n", - "multi_patch_sub_height_extension = 1.75 * 25 * mm\n", - "\n", - "sub_x_multi_patch = [-0.5 * multi_patch_sub_width, 0.5 * multi_patch_sub_width]\n", - "sub_y_multi_patch = [-feed_y, multi_patch_sub_height_extension]\n", - "\n", - "# frequency range\n", - "freq_start = 7e9\n", - "freq_stop = 11e9\n", - "freq_bounds = [freq_start, freq_stop]\n", - "# simulation frequencies to cover enough bandwidth for evaluating and optimizing antennas\n", - "opt_sim_freqs = [8e9, 10e9]\n", - "\n", - "freq0 = (freq_start + freq_stop) / 2 # central frequency\n", - "wavelength0 = td.C_0 / freq0 # wavelength of centeral frequency in vacuum\n", - "\n", - "freqs = np.linspace(freq_start, freq_stop, 200)\n", - "\n", - "# frequencies for computing S-parameters of antennas\n", - "freqs_s_params = freqs\n", - "\n", - "# frequencies for optimizing different\n", - "opt_freqs_single_patch = [8.25e9] # single patch target frequency\n", - "num_opt_freqs_multi_patch = 2\n", - "# optimize multi patch geometry for dual resonance\n", - "opt_freqs_multi_patch = np.linspace(8e9, 9e9, num_opt_freqs_multi_patch)\n", - "\n", - "#\n", - "# materials for optimization\n", - "#\n", - "air = td.Medium() # set up the antennas so they radiate into air\n", - "# choose common PCB material for substrate\n", - "sub_medium = rf_material_library['AD255C']['design']\n", - "PEC = td.PEC2D # Thickness-free PEC medium for antenna patches, feed lines, and the ground plane" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Create Simulation Objects\n", - "\n", - "To prepare for the optimization, we need to make a base simulation that we can add the antenna geometry and excitation source to. This base simulation includes the ground plane and substrate, the two structures below the patch antenna. In this simulation, we also set up a mesh override region to cover the region of the simulation with PEC. We use a very fine mesh here to improve accuracy of both the simulation and PEC gradients. As in other RF examples, the source will be added later via a `LumpedPort`." - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [], - "source": [ - "def create_base_sim(sub_x_bounds, sub_y_bounds):\n", - " \"\"\"\n", - " Creates the base simulation for evaluating and optimizing patch antennas. The base simulation includes the\n", - " substrate geometry, and ground plane. It also overrides a vertical slice of the simulation where the feed and\n", - " patch will be placed with a fine mesh override to ensure accurate simulation and gradients near the PEC boundaries.\n", - " \"\"\"\n", - " substrate_box = td.Box.from_bounds(\n", - " [sub_x_bounds[0], sub_y_bounds[0], -sub_z / 2.0],\n", - " [sub_x_bounds[1], sub_y_bounds[1], sub_z / 2.0],\n", - " )\n", - " # Define substrate structure\n", - " substrate = td.Structure(\n", - " geometry=substrate_box,\n", - " medium=sub_medium,\n", - " )\n", - "\n", - " # Define ground plane structure and assign the material by PEC\n", - " ground_plane = td.Structure(\n", - " geometry=substrate_box.updated_copy(\n", - " center=list(substrate_box.center[0:2]) + [-sub_z / 2.0],\n", - " size=list(substrate_box.size[0:2]) + [0],\n", - " ),\n", - " medium=PEC,\n", - " )\n", - "\n", - " # list of structures for the simulation arranged first by dielectric and then PEC to\n", - " # ensure PEC takes precedence at interfaces.\n", - " structures_list = [substrate, ground_plane]\n", - "\n", - " # PML wavelength at 10 GHz\n", - " wl_pml = wavelength0\n", - "\n", - " # quarter wavelength (at 10 GHz) padding on each side\n", - " sim_x_size = sub_x_bounds[1] - sub_x_bounds[0] + wl_pml / 2.0\n", - " sim_y_size = sub_y_bounds[1] - sub_y_bounds[0] + wl_pml / 2.0\n", - " sim_y_center = np.mean(sub_y_bounds)\n", - "\n", - " sim_z_max = sub_z + 1.5 * wavelength0\n", - " sim_z_min = sub_z - 0.5 * wavelength0\n", - " sim_z_center = 0.5 * (sim_z_max + sim_z_min)\n", - " sim_z_size = sim_z_max - sim_z_min\n", - "\n", - " # set a fine mesh based on the center wavelength\n", - " dl = wavelength0 / 200.0\n", - " mesh_override_vertical_padding = 1 * mm\n", - "\n", - " mesh_overrides = [\n", - " td.MeshOverrideStructure(\n", - " geometry=td.Box(\n", - " center=(0, sim_y_center, 0.0),\n", - " size=(sim_x_size, sim_y_size, sub_z + mesh_override_vertical_padding),\n", - " ),\n", - " dl=[dl, dl, dl],\n", - " )\n", - " ]\n", - "\n", - " # Truncate the computational domain by PMLs\n", - " boundary_spec = td.BoundarySpec(\n", - " x=td.Boundary.pml(),\n", - " y=td.Boundary.pml(),\n", - " z=td.Boundary.pml(),\n", - " )\n", - "\n", - " # Create the simulation object\n", - " base_sim = td.Simulation(\n", - " center=[0.0, sim_y_center, sim_z_center],\n", - " size=[sim_x_size, sim_y_size, sim_z_size],\n", - " grid_spec=td.GridSpec.auto(\n", - " min_steps_per_wvl=20, # The largest cell size is set to 20 cells per smallest wavelength.\n", - " wavelength=td.C_0 / freq_stop, # Smallest wavelength to resolve\n", - " override_structures=mesh_overrides,\n", - " ),\n", - " structures=structures_list,\n", - " sources=[], # Sources will be added by TerminalComponentModeler\n", - " monitors=[],\n", - " run_time=70 * (substrate.geometry.size[1] / td.C_0),\n", - " boundary_spec=boundary_spec,\n", - " plot_length_units=\"mm\", # This option will make plots default to units of millimeters.\n", - " )\n", - "\n", - " return base_sim" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In addition to the base simulation creation, we set up a function to add a feed line and PEC patches to a simulation object. Later, this will allow us to create an antenna with an arbitrary list of patches and insert it into our base simulation." - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [], - "source": [ - "def create_simulation_with_patches(base_sim, patch_boxes, monitors):\n", - " \"\"\"\n", - " Creates a new simulation from the base simulation that includes PEC patches for all of the Box\n", - " objects in patch_boxes as well as adds a feed line.\n", - " \"\"\"\n", - " patches = []\n", - " for patch_box in patch_boxes:\n", - " patches.append(td.Structure(geometry=patch_box, medium=PEC))\n", - "\n", - " feed_geometry = td.Box.from_bounds(\n", - " [feed_offset - 0.5 * feed_x, -feed_y, sub_z / 2], [feed_offset + 0.5 * feed_x, 0, sub_z / 2]\n", - " )\n", - "\n", - " feed = td.Structure(geometry=feed_geometry, medium=PEC)\n", - "\n", - " return base_sim.updated_copy(\n", - " structures=list(base_sim.structures) + [feed] + patches,\n", - " monitors=list(base_sim.monitors) + monitors,\n", - " )" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we set up a function to create the `LumpedPort` and `TerminalComponentModeler` that will create the input excitation to the antenna. We can specify an impedance for the port as well as the desired frequencies for the resulting simulation. The `TerminalComponentModeler` contains the simulations to run to evaluate and optimize the antenna." - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [], - "source": [ - "def create_modeler(simulation, frequencies, radiation_monitors=(), port_impedance=50):\n", - " \"\"\"\n", - " Creates the LumpedPort and TerminalComponentModeler based on a `simulation`, the desired\n", - " simulation `frequencies` and a `port_impedance`.\n", - " \"\"\"\n", - " # Setup a LumpedPort for the TerminalComponentModeler, which is needed\n", - " # to end the port with a matched load as well as providing a source for the simulation.\n", - " port = smatrix.LumpedPort(\n", - " center=[feed_offset, -feed_y, 0],\n", - " size=[feed_x, 0, sub_z],\n", - " voltage_axis=2,\n", - " name=\"lumped_port\",\n", - " impedance=port_impedance,\n", - " )\n", - "\n", - " # We integrate the base simulation with the LumpedPort using the TerminalComponentModeler.\n", - " # This allows us to compute scattering parameters and extract any additional data needed from the simulation.\n", - " modeler = smatrix.TerminalComponentModeler(\n", - " simulation=simulation,\n", - " ports=[port],\n", - " freqs=frequencies,\n", - " verbose=False,\n", - " # local_gradient=True,\n", - " remove_dc_component=False, # Include DC component for more accuracy at low frequencies\n", - " radiation_monitors=radiation_monitors,\n", - " )\n", - "\n", - " return modeler" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup Plotting and Evaluation Functions\n", - "\n", - "Here, we set up some helper functions to aid in plotting antenna geometry and evaluating antenna characteristics before and after optimizations. First, we set up a function to plot the antenna structure and feed line along with the surrounding mesh. Near PEC edges, especially when computing gradients, we recommend using a fine mesh. In this function, we can also observe the location where the input source is fed into the antenna to confirm it is at the end of the feed line." - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [], - "source": [ - "def plot_structures_and_mesh(patch_boxes, sub_x_bounds, sub_y_bounds):\n", - " \"\"\"Plots the antenna structure and surrounding mesh to ensure it looks as expected before running simulations.\"\"\"\n", - " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", - "\n", - " no_additional_monitors = []\n", - " sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n", - " mesh_modeler = create_modeler(sim_with_patches, freqs)\n", - "\n", - " sim_temp = list(mesh_modeler.sim_dict.values())[0]\n", - "\n", - " sim_x_bounds = [\n", - " sim_temp.center[0] - 0.5 * sim_temp.size[0],\n", - " sim_temp.center[0] + 0.5 * sim_temp.size[0],\n", - " ]\n", - "\n", - " sim_y_bounds = [\n", - " sim_temp.center[1] - 0.5 * sim_temp.size[1],\n", - " sim_temp.center[1] + 0.5 * sim_temp.size[1],\n", - " ]\n", - "\n", - " fig, ax = plt.subplots()\n", - "\n", - " # examine the structure and mesh in the x-y plane\n", - " sim_temp.plot(\n", - " z=sub_z / 2,\n", - " ax=ax,\n", - " hlim=sim_x_bounds,\n", - " vlim=sim_y_bounds,\n", - " monitor_alpha=0.2,\n", - " )\n", - " sim_temp.plot_grid(z=sub_z / 2, ax=ax, hlim=sim_x_bounds, vlim=sim_y_bounds)\n", - "\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Second, we set up a function that can calculate S11 and realized antenna gain. S11 is the voltage reflection coefficient and $|S11|^2$ is the power reflection coefficient or in other words, the reflected power divided by the input power. A good antenna will have a small S11 at its operating frequencies. S11 is plotted in dB and thus at resonance, we will see a large, negative value corresponding to low reflection. Before and after an optimization, this is one way to evaluate how well the optimization tuned the geometry for the correct frequencies. In the realized gain plot, we can see efficiently energy is radiating from the antenna and in what direction when compared to an isotropic radiator. For simplicity and to keep plots less crowded, we collect the realized gain for the optimization frequencies while we compute S11 value over a broad spectrum." - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [], - "source": [ - "def evaluate_antenna(patch_boxes, eval_s_params_freqs, opt_freqs, sub_x_bounds, sub_y_bounds):\n", - " \"\"\"\n", - " Evaluate the S11 parameter and realized gain in both polarizations for the given antenna geometry.\n", - " The S11 is calculated across a broad spectrum while the realized gain is only computed for the opt_freqs.\n", - " \"\"\"\n", - "\n", - " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", - " no_additional_monitors = []\n", - " sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n", - "\n", - " theta = np.linspace(-np.pi, np.pi, 200)\n", - " phi = np.linspace(0, np.pi, 100)\n", - "\n", - " directivity_center_x = np.mean(sub_x_bounds)\n", - " directivity_center_y = np.mean(sub_y_bounds)\n", - " directivity_size_x = 5 * mm + sub_x_bounds[1] - sub_x_bounds[0]\n", - " directivity_size_y = 5 * mm + sub_y_bounds[1] - sub_y_bounds[0]\n", - "\n", - " monitor_directivity = td.DirectivityMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0],\n", - " size=(\n", - " directivity_size_x,\n", - " directivity_size_y,\n", - " 4 * mm,\n", - " ),\n", - " freqs=opt_freqs,\n", - " name=\"directivity\",\n", - " phi=list(phi),\n", - " theta=list(theta),\n", - " far_field_approx=True,\n", - " )\n", - "\n", - " sim_with_directivity = sim_with_patches\n", - " # we only need whatever frequencies are unique in these two lists to have all the data we need for computing\n", - " # S11 and gain\n", - " eval_freqs = np.unique(list(eval_s_params_freqs) + list(opt_freqs))\n", - "\n", - " modeler = create_modeler(\n", - " sim_with_directivity, eval_freqs, radiation_monitors=[monitor_directivity]\n", - " )\n", - "\n", - " s_matrix = modeler._construct_smatrix()\n", - " sim_data = modeler.batch_data[\"smatrix_lumped_port\"]\n", - "\n", - " antenna_parameters_freq = modeler.get_antenna_metrics_data(\n", - " monitor_name=\"directivity\")\n", - " partial_realized_gain = antenna_parameters_freq.partial_realized_gain(pol_basis=\"linear\")\n", - "\n", - " return s_matrix, sim_data, theta, partial_realized_gain" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given the optimization results, we can plot the comparison of two antenna simulations using the `plot_antenna_comparison` function below. We can easily compare the initial and final optimization states to see how well the resulting antenna is performing in our desired metrics." - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [], - "source": [ - "def plot_antenna_comparison(\n", - " s_matrix_list,\n", - " sim_data_list,\n", - " partial_realized_gain_list,\n", - " opt_freqs,\n", - " theta,\n", - " plot_phi,\n", - " plot_title=\"Antenna Simulation Comparison\",\n", - " sim_names=None,\n", - " single_color_gain_plots=False,\n", - " savefig_fname=None,\n", - "):\n", - " \"\"\"\n", - " Plots a comparison of two sets of simulation data.\n", - "\n", - " Args:\n", - " s_matrix_list: List of S-matrix objects [s_matrix_sim1, s_matrix_sim2].\n", - " sim_data_list: List of sim_data objects [sim_data_sim1, sim_data_sim2],\n", - " where each sim_data contains a \"radiation\" DirectivityMonitor output.\n", - " partial_realized_gain_list: List of realized gain in linear polarization for each simulation.\n", - " opt_freqs: List of optimization frequencies to plot for directivity.\n", - " theta: Numpy array of theta angles for polar plots.\n", - " plot_phi: The phi value to select in the realized gain data for plotting.\n", - " plot_title: Optional title to specify for plot (default is \"Antenna Simulation Comparison\").\n", - " sim_names: Optional list of names for simulations for clearer legends.\n", - " single_color_gain_plots: Optional choice to use a single color for all the frequencies\n", - " in the gain plot (True) or have each frequency a different\n", - " color (False). Default is False.\n", - " savefig_fname: An optional filename to save the resulting figure\n", - " \"\"\"\n", - "\n", - " num_simulations = len(s_matrix_list)\n", - " if num_simulations != 2 or len(sim_data_list) != 2:\n", - " print(\"Warning: This function is designed to compare exactly two simulations.\")\n", - "\n", - " alphas = [0.5, 1.0] # Alpha for sim1, sim2\n", - " if sim_names is None or len(sim_names) != num_simulations:\n", - " sim_names = [f\"Sim {i+1}\" for i in range(num_simulations)]\n", - "\n", - " grid_spec_cols = 3 # S11 and realized gain for each polarization side-by-side\n", - " fig_width = grid_spec_cols * 4.5\n", - " fig_height = 6.5\n", - "\n", - " num_rows = 1\n", - "\n", - " fig = plt.figure(figsize=(fig_width, fig_height), constrained_layout=True)\n", - " gs = fig.add_gridspec(num_rows, grid_spec_cols)\n", - " axs_list = []\n", - "\n", - " # plot the S11 parameter comparison for each simulation\n", - " ax_s11 = fig.add_subplot(gs[0, 0])\n", - " axs_list.append(ax_s11)\n", - " ax_s11.set_title(\"$S_{11}$ Coefficient\")\n", - " ax_s11.set_xlabel(\"Frequency (GHz)\")\n", - " ax_s11.set_ylabel(\"$|S_{11}|^2$ (dB)\")\n", - "\n", - " for sim_idx in range(num_simulations):\n", - " s_matrix = s_matrix_list[sim_idx]\n", - " current_alpha = alphas[sim_idx]\n", - " sim_label_name = sim_names[sim_idx]\n", - "\n", - " s11_freqs_ghz = s_matrix.f / 1e9\n", - " s11_data_selection = s_matrix.isel(port_out=0, port_in=0)\n", - "\n", - " s11_values_flat = s11_data_selection.values.flatten()\n", - " s11_values_db = 20 * np.log10(np.abs(s11_values_flat))\n", - " ax_s11.plot(\n", - " s11_freqs_ghz,\n", - " s11_values_db,\n", - " alpha=current_alpha,\n", - " label=f\"{sim_label_name})\",\n", - " )\n", - "\n", - " impedances_norm = (1 + s11_values_flat) / (1 - s11_values_flat)\n", - "\n", - " for opt_freq in opt_freqs:\n", - " ax_s11.axvline(x=opt_freq / 1e9, color=\"k\", linestyle=\"--\")\n", - "\n", - " ax_s11.set_ylim(-25, 2)\n", - " ax_s11.grid(True)\n", - " ax_s11.legend()\n", - "\n", - " # for each linear polarization component, plot the realized gain for each linear polarization\n", - " polarization_components = [\"Gtheta\", \"Gphi\"]\n", - "\n", - " for pol_idx, pol_component in enumerate(polarization_components):\n", - " ax_polar = fig.add_subplot(gs[0, 1 + pol_idx], projection=\"polar\")\n", - " axs_list.append(ax_polar)\n", - " ax_polar.set_title(f\"Realized Gain for {pol_component}\")\n", - "\n", - " ax_polar.set_theta_direction(-1)\n", - " ax_polar.set_theta_offset(np.pi / 2.0)\n", - " ax_polar.grid(True)\n", - " ax_polar.set_rlabel_position(22.5)\n", - "\n", - " overall_max_gain = -np.inf\n", - " color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", - "\n", - " for freq_idx, eval_freq in enumerate(opt_freqs):\n", - " base_color = color_cycle[freq_idx % len(color_cycle)]\n", - " if single_color_gain_plots:\n", - " base_color = color_cycle[0]\n", - " freq_label_for_legend = f\"{eval_freq/1e9:.2f} GHz\"\n", - "\n", - " # Plot data for each simulation for the current frequency\n", - " for sim_idx in range(num_simulations):\n", - " sim_data = sim_data_list[sim_idx]\n", - " current_alpha = alphas[sim_idx]\n", - "\n", - " if single_color_gain_plots:\n", - " base_color = color_cycle[sim_idx]\n", - "\n", - " realized_gain_data = partial_realized_gain_list[sim_idx][pol_component].sel(\n", - " f=eval_freq, phi=plot_phi, method=\"nearest\"\n", - " )\n", - "\n", - " gain_values_for_plot = realized_gain_data.squeeze().values\n", - "\n", - " current_max_val = np.max(gain_values_for_plot)\n", - " if current_max_val > overall_max_gain:\n", - " overall_max_gain = current_max_val\n", - "\n", - " # Label only the second simulation's line (alpha=1.0) for the legend entry of this frequency\n", - " label_to_use = f\"{freq_label_for_legend} ({sim_names[sim_idx]})\"\n", - " ax_polar.plot(\n", - " theta,\n", - " gain_values_for_plot,\n", - " color=base_color,\n", - " alpha=current_alpha,\n", - " label=label_to_use,\n", - " )\n", - "\n", - " ax_polar.set_rlim(0, overall_max_gain * 1.1 if overall_max_gain > 0 else 1.0)\n", - " ax_polar.legend(title=\"Frequency (GHz)\", loc=\"best\", fontsize=\"small\")\n", - "\n", - " fig.suptitle(plot_title, fontsize=16)\n", - "\n", - " if savefig_fname:\n", - " plt.savefig(savefig_fname)\n", - "\n", - " plt.show()\n", - "\n", - "\n", - "def plot_antenna_evolution(s11_sq_dB, s11_f, partial_realized_gain, gain_freqs, theta):\n", - " \"\"\"Plots the evolution of the antenna S11 and and realized gain throughout an optimization.\n", - " Args:\n", - " s11_sq_dB: List of |S11|^2 (in dB) at each point in optimization. The length should match the\n", - " length of `partial_realized_gain`\n", - " s11_f: Frequencies for each S11 array\n", - " partial_realized_gain: List of realized gain objects broken into linear polarization. The length\n", - " of this list should match the length of `s11_sq_dB`\n", - " gain_freqs: List of frequencies for each realized gain object.\n", - " theta: List of theta values for each realized gain object.\n", - " \"\"\"\n", - " num_lines = len(s11_sq_dB)\n", - "\n", - " alphas = np.linspace(0.25, 1.0, num_lines)\n", - "\n", - " fig_width = 13.5\n", - " fig_height = 6.5\n", - "\n", - " fig = plt.figure(figsize=(fig_width, fig_height), constrained_layout=True)\n", - " num_rows = 1\n", - " grid_spec_cols = 3\n", - " gs = fig.add_gridspec(num_rows, grid_spec_cols)\n", - " axs_list = []\n", - "\n", - " ax_s11 = fig.add_subplot(gs[0, 0])\n", - " axs_list.append(ax_s11)\n", - " ax_s11.set_title(\"$S_{11}$ Coefficient\")\n", - " ax_s11.set_xlabel(\"Frequency (GHz)\")\n", - " ax_s11.set_ylabel(\"$|S_{11}|^2$ (dB)\")\n", - "\n", - " color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", - "\n", - " for idx in range(0, num_lines):\n", - " ax_s11.plot(s11_f, s11_sq_dB[idx], color=color_cycle[0], linewidth=1.5, alpha=alphas[idx])\n", - "\n", - " ax_s11.set_ylim(-25, 2)\n", - " ax_s11.grid(True)\n", - "\n", - " def add_polar_sequence(grid_col, pol_component, title):\n", - " ax_polar = fig.add_subplot(gs[0, grid_col], projection=\"polar\")\n", - " axs_list.append(ax_polar)\n", - " ax_polar.set_title(f\"Realized Gain for {pol_component}\")\n", - " \n", - " ax_polar.set_theta_direction(-1)\n", - " ax_polar.set_theta_offset(np.pi / 2.0)\n", - " ax_polar.grid(True)\n", - " ax_polar.set_rlabel_position(22.5)\n", - "\n", - " for idx in range(0, num_lines):\n", - " partial_realized_gain_batch = partial_realized_gain[idx][pol_component]\n", - " partial_realized_gain_batch = np.reshape(partial_realized_gain_batch, (len(gain_freqs), len(theta)))\n", - " \n", - " for freq_idx in range(0, len(gain_freqs)):\n", - " gain_values_for_plot = partial_realized_gain_batch[freq_idx]\n", - " \n", - " ax_polar.plot(\n", - " theta,\n", - " gain_values_for_plot,\n", - " color=color_cycle[freq_idx],\n", - " alpha=alphas[idx]\n", - " )\n", - " \n", - " ax_polar.set_title(title)\n", - "\n", - " add_polar_sequence(1, \"Gtheta\", f\"Realized Gain\\n(Gtheta), phi=0\")\n", - " add_polar_sequence(2, \"Gphi\", f\"Realized Gain\\n(Gphi), phi=0\")\n", - "\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We set up a function to plot the figure of merit trajectory of the optimziation and compare the initial and final antenna geometries. This is an indication of how well the optimization worked as well as a demonstration of the overall change that occurred over the course of the optimization. For the single patch antenna, these changes are small and show a tuning of the width and height, but we will see in the higher-dimensional optimization that the central and surrounding patches change significantly while optimizing for a broad band figure of merit." - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [], - "source": [ - "def plot_optimization_results(\n", - " figure_of_merit, feed_rect, init_rectangles, final_rectangles, savefig_fname=None\n", - "):\n", - " \"\"\"\n", - " Plots a main rectangle and two lists of other rectangles with specified styles.\n", - "\n", - " Args:\n", - " main_rect (Rect): The primary rectangle to be plotted in gold.\n", - " It should have 'center' (tuple) and 'size' (tuple) attributes.\n", - " list1_rects (list[Rect]): A list of rectangles to be plotted in gray\n", - " with 0.25 transparency and a dotted black border.\n", - " list2_rects (list[Rect]): A list of rectangles to be plotted in gold.\n", - " savefig_fname: A filename to save the resulting figure\n", - "\n", - " \"\"\"\n", - " fig, ax = plt.subplots(1, 2)\n", - " ax[1].set_aspect(\"equal\", adjustable=\"box\")\n", - "\n", - " all_rects_params = [] # to store (x_bl, y_bl, width, height) for limit calculation\n", - "\n", - " # helper function to add a rectangle and collect its parameters\n", - " def add_rectangle_to_plot(\n", - " rect_obj, facecolor, alpha=1.0, edgecolor=\"black\", linestyle=\"solid\", legend=None\n", - " ):\n", - " \"\"\"\n", - " Adds a single rectangle to the plot and collects its parameters.\n", - "\n", - " Args:\n", - " rect_obj (Rect): The rectangle object with 'center' and 'size'.\n", - " facecolor (str): The face color of the rectangle.\n", - " alpha (float): The transparency of the rectangle.\n", - " edgecolor (str): The edge color of the rectangle.\n", - " linestyle (str): The line style of the rectangle's border.\n", - " \"\"\"\n", - " center_x, center_y, _ = rect_obj.center\n", - " width, height, _ = rect_obj.size\n", - "\n", - " center_x /= mm\n", - " center_y /= mm\n", - " width /= mm\n", - " height /= mm\n", - "\n", - " # Calculate bottom-left corner coordinates\n", - " bottom_left_x = center_x - width / 2\n", - " bottom_left_y = center_y - height / 2\n", - "\n", - " all_rects_params.append((bottom_left_x, bottom_left_y, width, height))\n", - "\n", - " rect_patch = patches.Rectangle(\n", - " (bottom_left_x, bottom_left_y),\n", - " width,\n", - " height,\n", - " facecolor=facecolor,\n", - " alpha=alpha,\n", - " edgecolor=edgecolor,\n", - " linestyle=linestyle,\n", - " linewidth=1, # Default linewidth for borders\n", - " label=legend,\n", - " )\n", - " ax[1].add_patch(rect_patch)\n", - "\n", - " add_rectangle_to_plot(feed_rect, facecolor=\"gold\", edgecolor=\"black\")\n", - "\n", - " legends_init_rect = [\n", - " \"initial\" if (idx == 0) else None for idx in range(0, len(init_rectangles))\n", - " ]\n", - " legends_final_rect = [\n", - " \"final\" if (idx == 0) else None for idx in range(0, len(final_rectangles))\n", - " ]\n", - "\n", - " # plot rectangles from the second list (gold)\n", - " for idx, rect_obj in enumerate(final_rectangles):\n", - " add_rectangle_to_plot(\n", - " rect_obj, facecolor=\"gold\", edgecolor=\"black\", legend=legends_final_rect[idx]\n", - " ) # Added black edge for consistency\n", - "\n", - " # plot rectangles from the first list (gray, 0.25 alpha, dotted black border)\n", - " for idx, rect_obj in enumerate(init_rectangles):\n", - " add_rectangle_to_plot(\n", - " rect_obj,\n", - " facecolor=\"gray\",\n", - " alpha=0.25,\n", - " edgecolor=\"black\",\n", - " linestyle=\"dotted\",\n", - " legend=legends_init_rect[idx],\n", - " )\n", - "\n", - " # calculate plot limits\n", - " if all_rects_params:\n", - " min_x = min(p[0] for p in all_rects_params)\n", - " min_y = min(p[1] for p in all_rects_params)\n", - " max_x = max(p[0] + p[2] for p in all_rects_params) # max x is bottom_left_x + width\n", - " max_y = max(p[1] + p[3] for p in all_rects_params) # max y is bottom_left_y + height\n", - "\n", - " # add some padding to the limits\n", - " padding_x = (max_x - min_x) * 0.1 if (max_x - min_x) > 0 else 1\n", - " padding_y = (max_y - min_y) * 0.1 if (max_y - min_y) > 0 else 1\n", - "\n", - " ax[1].set_xlim(min_x - padding_x, max_x + padding_x)\n", - " ax[1].set_ylim(min_y - padding_y, max_y + padding_y)\n", - " else:\n", - " # default limits if no rectangles are plotted\n", - " ax[1].set_xlim(-5, 5)\n", - " ax[1].set_ylim(-5, 5)\n", - "\n", - " ax[1].set_title(\"Antenna Geometry\")\n", - " ax[1].set_xlabel(\"X-coordinate (mm)\")\n", - " ax[1].set_ylabel(\"Y-coordinate (mm)\")\n", - " ax[1].grid(True, linestyle=\"--\", alpha=0.7)\n", - "\n", - " ax[1].legend(loc=\"lower left\", bbox_to_anchor=(1.0, 0.75))\n", - "\n", - " ax[0].plot(figure_of_merit, color=\"green\", linewidth=2)\n", - " ax[0].set_title(\"Optimization\")\n", - " ax[0].set_xlabel(\"Iteration\")\n", - " ax[0].set_ylabel(\"Figure of Merit\")\n", - "\n", - " if savefig_fname:\n", - " plt.savefig(savefig_fname)\n", - "\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Demonstrating Gradient Based Optimization of a Single Patch Antenna\n", - "\n", - "In our first optimization, we use the adjoint gradients to tune the width and height of a single patch antenna element. This is a good way to validate the gradients and optimization figures of merit are working as expected before moving onto a more complex optimization. As a first step, we create our objective function that we can use for both of our optimizations. This function takes in parameters defining the antenna geometry as well as a function to convert those parameters to `Box` geometries that we can import into the simulation. Further, it allows us to specify the optimization monitors we want to use since we will modify the placement of these monitors based on the overall patch antenna size. After adding the source via the `TerminalComponentModeler`, we run a simulation and measure the S11 value and flux into a band of angles above the antenna. S11 is a measure of how much energy is reflected and the radiated flux over a set of angles gives us a good figure of merit for directivity. We optimize the antenna to direct the radiated power at 0 degrees, directly outward from the antenna plane. The two figures are combined together into one by computing reflection efficiency as $1 - |S_{11}|^2$ and multiplying by the sum of the flux over a narrow band of angles around 0 degrees normalized by the initial flux in each of these angles.\n", - "\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [], - "source": [ - "def compute_poynting(\n", - " patch_params,\n", - " patch_params_to_boxes,\n", - " sub_x_bounds,\n", - " sub_y_bounds,\n", - " optimization_monitors,\n", - " opt_freqs,\n", - "):\n", - " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", - "\n", - " directivity_monitors = [\n", - " monitor for monitor in optimization_monitors if isinstance(monitor, td.DirectivityMonitor)\n", - " ]\n", - " non_directivity_monitors = [\n", - " monitor\n", - " for monitor in optimization_monitors\n", - " if not isinstance(monitor, td.DirectivityMonitor)\n", - " ]\n", - "\n", - " sim_with_patches = create_simulation_with_patches(\n", - " base_sim, patch_params_to_boxes(patch_params), non_directivity_monitors\n", - " )\n", - "\n", - " modeler_freqs = sorted(list(set(list(opt_sim_freqs) + list(opt_freqs))))\n", - "\n", - " modeler = create_modeler(\n", - " sim_with_patches, modeler_freqs, radiation_monitors=directivity_monitors\n", - " )\n", - "\n", - " # run the simulations for the antenna\n", - " batch_data = {\n", - " task_name: run(\n", - " simulation=simulation,\n", - " verbose=False,\n", - " local_gradient=True,\n", - " task_name=\"StaticPatchAntennaOptimization\",\n", - " )\n", - " for task_name, simulation in modeler.sim_dict.items()\n", - " }\n", - "\n", - " antenna_parameters_freq = modeler.get_antenna_metrics_data(\n", - " monitor_name=\"directivity\")\n", - "\n", - " s_matrix = modeler._internal_construct_smatrix(batch_data=batch_data)\n", - " projector = td.FieldProjector.from_near_field_monitors(\n", - " sim_data=batch_data[\"smatrix_lumped_port\"],\n", - " near_monitors=[optimization_monitors[-2]],\n", - " normal_dirs=[\"+\"], # we are projecting along the +z direction\n", - " )\n", - " radiation_data = projector.project_fields(optimization_monitors[-1])\n", - " poynting_flux = np.abs(\n", - " np.real(\n", - " 0.5\n", - " * (\n", - " radiation_data.Etheta * np.conj(radiation_data.Hphi)\n", - " - radiation_data.Ephi * np.conj(radiation_data.Htheta)\n", - " )\n", - " )\n", - " )\n", - "\n", - " return poynting_flux\n", - "\n", - "\n", - "def objective_fn(\n", - " patch_params,\n", - " patch_params_to_boxes,\n", - " sub_x_bounds,\n", - " sub_y_bounds,\n", - " optimization_monitors,\n", - " opt_freqs,\n", - " poynting_flux_initial,\n", - "):\n", - " \"\"\"\n", - " Objective function for an antenna optimization that converts `patch_params` into tidy3d Box\n", - " geometries via the supplied `patch_params_to_boxes` function. The `sub_x_bounds`, `sub_y_bounds`,\n", - " and `optimization_monitors` allow us to customize both the geometry and objective function\n", - " given the specific antenna we are optimizing for. The function computes a product of the reflection\n", - " efficiency and the increased flux in a set of optimization angles compared to the initial design.\n", - " \"\"\"\n", - " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", - "\n", - " directivity_monitors = [\n", - " monitor for monitor in optimization_monitors if isinstance(monitor, td.DirectivityMonitor)\n", - " ]\n", - " non_directivity_monitors = [\n", - " monitor\n", - " for monitor in optimization_monitors\n", - " if not isinstance(monitor, td.DirectivityMonitor)\n", - " ]\n", - "\n", - " # create the `TerminalComponentModeler` to add the source and get the simulation we can run\n", - " # to evaluate the antenna performance\n", - " modeler_freqs = sorted(list(set(list(opt_sim_freqs) + list(opt_freqs))))\n", - "\n", - " # add antenna patches to simulation\n", - " sim_with_patches = create_simulation_with_patches(\n", - " base_sim, patch_params_to_boxes(patch_params), non_directivity_monitors\n", - " )\n", - "\n", - " modeler = create_modeler(sim_with_patches, modeler_freqs)\n", - "\n", - " def weights_from_merit(merit):\n", - " \"\"\"\n", - " Computes performance based weights that sum to a total weight of 1.\n", - " For a given frequency, the weights are inversely tied to the performance\n", - " so that figures of merit that are lagging get favored more than those that\n", - " are leading.\n", - " \"\"\"\n", - "\n", - " weights = (2.0 / len(merit)) - (merit**2 / anp.sum(merit**2))\n", - " clip_weights = anp.maximum(weights, 0.0)\n", - "\n", - " inv_weights = 1.0 / anp.sum(clip_weights)\n", - " renorm_weights = clip_weights * inv_weights\n", - "\n", - " return renorm_weights\n", - "\n", - " s_matrix = modeler._construct_smatrix()\n", - " radiation_monitors = [m for m in optimization_monitors if m.name == \"radiation\"]\n", - " far_field_monitor = [m for m in optimization_monitors if m.name == \"far_field\"][0]\n", - "\n", - " # Set up a `FieldProjector` based on the 'radiation' monitor near the patch\n", - " projector = td.FieldProjector.from_near_field_monitors(\n", - " sim_data=modeler.batch_data[\"smatrix_lumped_port\"],\n", - " near_monitors=radiation_monitors,\n", - " normal_dirs=[\"+\"], # projecting along the +z direction\n", - " )\n", - " # Project this near field into the subset of far field components\n", - " # specified by the 'far_field' monitor\n", - " radiation_data = projector.project_fields(far_field_monitor)\n", - "\n", - " poynting_flux = np.abs(\n", - " np.real(\n", - " 0.5\n", - " * (\n", - " radiation_data.Etheta * np.conj(radiation_data.Hphi)\n", - " - radiation_data.Ephi * np.conj(radiation_data.Htheta)\n", - " )\n", - " )\n", - " )\n", - "\n", - " fom_by_freq = []\n", - " merit_by_freq = []\n", - "\n", - " for freq in opt_freqs:\n", - " directivity_metric = np.sum(poynting_flux.sel(f=freq).data) / np.sum(\n", - " poynting_flux_initial.sel(f=freq).data\n", - " )\n", - "\n", - " s11 = np.abs(s_matrix.isel(port_out=0, port_in=0).sel(f=freq).data)\n", - "\n", - " fom = (1 - np.abs(s11) ** 2) * directivity_metric\n", - " merit_by_freq.append(fom)\n", - "\n", - " fom_by_freq.append(fom)\n", - "\n", - " fom_by_freq = anp.array(fom_by_freq)\n", - " merit_by_freq = anp.array(merit_by_freq)\n", - "\n", - " if len(fom_by_freq) > 1:\n", - " weights = weights_from_merit(merit_by_freq) # dynamic optimization weights\n", - " return anp.sum(weights * fom_by_freq)\n", - " else:\n", - " return anp.sum(fom_by_freq)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We then create a helper function to convert the patch width and height parameters to the antenna geometry for a single patch. To check out setup, we plot what the resulting antenna will look like when inserted into a simulation." - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def params_to_boxes_single_patch(patch_params):\n", - " \"\"\"Convert single patch parameters into patch geometry.\"\"\"\n", - "\n", - " patch_wh = patch_params[0:2]\n", - "\n", - " main_patch = td.Box.from_bounds(\n", - " [-0.5 * patch_wh[0], 0.0, sub_z / 2.0], [0.5 * patch_wh[0], patch_wh[1], sub_z / 2.0]\n", - " )\n", - "\n", - " return [main_patch]\n", - "\n", - "\n", - "# set an initial width and height for the patch\n", - "patch_init_width = 12.45 * mm\n", - "patch_init_height = 16 * mm\n", - "patch_init_wh = anp.array([patch_init_width, patch_init_height])\n", - "\n", - "# set the min/max for the patch width and height to use to bound these parameters in the optimization\n", - "patch_min_width = 8 * mm\n", - "patch_min_height = 8 * mm\n", - "\n", - "patch_max_width = 18 * mm\n", - "patch_max_height = 24 * mm\n", - "\n", - "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", - "plot_structures_and_mesh(\n", - " params_to_boxes_single_patch(patch_init_wh), sub_x_single_patch, sub_y_single_patch\n", - ")\n", - "# Helper function for evaluating antenna performance for a single patch\n", - "evaluate_single_antenna = lambda patch_wh, eval_s_params_freqs, opt_freqs: (\n", - " evaluate_antenna(\n", - " params_to_boxes_single_patch(patch_wh),\n", - " eval_s_params_freqs,\n", - " opt_freqs,\n", - " sub_x_single_patch,\n", - " sub_y_single_patch,\n", - " )\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
Iteration 1\n",
-       "        Gradient (width, height): -0.00003814, -0.00001\n",
-       "        Updates (width, height): -29.99194527, -29.97\n",
-       "        Params (width, height): 12420.00781250, 15970.03\n",
-       "        Figure of merit:          0.10\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 1\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00003814, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.99194527, -29.97\u001b[0m\n", - " Params (width, height): \u001b[34m12420.00781250, 15970.03\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.10\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 2\n",
-       "        Gradient (width, height): -0.00002753, -0.00001\n",
-       "        Updates (width, height): -29.07702637, -30.10\n",
-       "        Params (width, height): 12390.93066406, 15939.93\n",
-       "        Figure of merit:          0.10\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 2\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00002753, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.07702637, -30.10\u001b[0m\n", - " Params (width, height): \u001b[34m12390.93066406, 15939.93\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.10\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 3\n",
-       "        Gradient (width, height): -0.00003017, -0.00002\n",
-       "        Updates (width, height): -29.18604279, -30.41\n",
-       "        Params (width, height): 12361.74414062, 15909.51\n",
-       "        Figure of merit:          0.11\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 3\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00003017, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.18604279, -30.41\u001b[0m\n", - " Params (width, height): \u001b[34m12361.74414062, 15909.51\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.11\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 4\n",
-       "        Gradient (width, height): -0.00003295, -0.00003\n",
-       "        Updates (width, height): -29.51652336, -30.12\n",
-       "        Params (width, height): 12332.22753906, 15879.39\n",
-       "        Figure of merit:          0.11\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 4\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00003295, -0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.51652336, -30.12\u001b[0m\n", - " Params (width, height): \u001b[34m12332.22753906, 15879.39\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.11\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 5\n",
-       "        Gradient (width, height): -0.00003478, -0.00002\n",
-       "        Updates (width, height): -29.85807610, -30.02\n",
-       "        Params (width, height): 12302.36914062, 15849.37\n",
-       "        Figure of merit:          0.12\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 5\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00003478, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.85807610, -30.02\u001b[0m\n", - " Params (width, height): \u001b[34m12302.36914062, 15849.37\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 6\n",
-       "        Gradient (width, height): -0.00003801, -0.00001\n",
-       "        Updates (width, height): -30.31881714, -29.13\n",
-       "        Params (width, height): 12272.05078125, 15820.24\n",
-       "        Figure of merit:          0.12\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 6\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00003801, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-30.31881714, -29.13\u001b[0m\n", - " Params (width, height): \u001b[34m12272.05078125, 15820.24\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 7\n",
-       "        Gradient (width, height): -0.00000721, -0.00001\n",
-       "        Updates (width, height): -26.11418343, -28.78\n",
-       "        Params (width, height): 12245.93652344, 15791.46\n",
-       "        Figure of merit:          0.13\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 7\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00000721, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-26.11418343, -28.78\u001b[0m\n", - " Params (width, height): \u001b[34m12245.93652344, 15791.46\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.13\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 8\n",
-       "        Gradient (width, height): -0.00002696, -0.00001\n",
-       "        Updates (width, height): -26.46311569, -26.63\n",
-       "        Params (width, height): 12219.47363281, 15764.84\n",
-       "        Figure of merit:          0.13\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 8\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00002696, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-26.46311569, -26.63\u001b[0m\n", - " Params (width, height): \u001b[34m12219.47363281, 15764.84\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.13\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 9\n",
-       "        Gradient (width, height): -0.00004401, -0.00003\n",
-       "        Updates (width, height): -28.62040329, -29.14\n",
-       "        Params (width, height): 12190.85351562, 15735.69\n",
-       "        Figure of merit:          0.14\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 9\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00004401, -0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-28.62040329, -29.14\u001b[0m\n", - " Params (width, height): \u001b[34m12190.85351562, 15735.69\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 10\n",
-       "        Gradient (width, height): -0.00005951, -0.00004\n",
-       "        Updates (width, height): -31.02918243, -31.80\n",
-       "        Params (width, height): 12159.82421875, 15703.90\n",
-       "        Figure of merit:          0.14\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 10\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00005951, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-31.02918243, -31.80\u001b[0m\n", - " Params (width, height): \u001b[34m12159.82421875, 15703.90\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 11\n",
-       "        Gradient (width, height): -0.00007552, -0.00002\n",
-       "        Updates (width, height): -33.18568420, -30.55\n",
-       "        Params (width, height): 12126.63867188, 15673.35\n",
-       "        Figure of merit:          0.14\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 11\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00007552, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-33.18568420, -30.55\u001b[0m\n", - " Params (width, height): \u001b[34m12126.63867188, 15673.35\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 12\n",
-       "        Gradient (width, height): -0.00008816, -0.00002\n",
-       "        Updates (width, height): -34.93735123, -29.72\n",
-       "        Params (width, height): 12091.70117188, 15643.63\n",
-       "        Figure of merit:          0.15\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 12\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00008816, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-34.93735123, -29.72\u001b[0m\n", - " Params (width, height): \u001b[34m12091.70117188, 15643.63\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.15\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 13\n",
-       "        Gradient (width, height): -0.00006964, -0.00002\n",
-       "        Updates (width, height): -35.33975220, -29.58\n",
-       "        Params (width, height): 12056.36132812, 15614.04\n",
-       "        Figure of merit:          0.17\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 13\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00006964, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-35.33975220, -29.58\u001b[0m\n", - " Params (width, height): \u001b[34m12056.36132812, 15614.04\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.17\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 14\n",
-       "        Gradient (width, height): -0.00007797, -0.00002\n",
-       "        Updates (width, height): -35.98292923, -30.27\n",
-       "        Params (width, height): 12020.37792969, 15583.78\n",
-       "        Figure of merit:          0.18\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 14\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00007797, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-35.98292923, -30.27\u001b[0m\n", - " Params (width, height): \u001b[34m12020.37792969, 15583.78\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.18\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 15\n",
-       "        Gradient (width, height): -0.00008666, -0.00005\n",
-       "        Updates (width, height): -36.76580811, -33.98\n",
-       "        Params (width, height): 11983.61230469, 15549.80\n",
-       "        Figure of merit:          0.19\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 15\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00008666, -0.00005\u001b[0m\n", - " Updates (width, height): \u001b[35m-36.76580811, -33.98\u001b[0m\n", - " Params (width, height): \u001b[34m11983.61230469, 15549.80\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.19\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 16\n",
-       "        Gradient (width, height): -0.00009268, -0.00004\n",
-       "        Updates (width, height): -37.49803543, -34.86\n",
-       "        Params (width, height): 11946.11425781, 15514.94\n",
-       "        Figure of merit:          0.21\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 16\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00009268, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-37.49803543, -34.86\u001b[0m\n", - " Params (width, height): \u001b[34m11946.11425781, 15514.94\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.21\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 17\n",
-       "        Gradient (width, height): -0.00000591, -0.00003\n",
-       "        Updates (width, height): -31.38626289, -34.09\n",
-       "        Params (width, height): 11914.72753906, 15480.85\n",
-       "        Figure of merit:          0.22\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 17\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00000591, -0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-31.38626289, -34.09\u001b[0m\n", - " Params (width, height): \u001b[34m11914.72753906, 15480.85\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.22\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 18\n",
-       "        Gradient (width, height): -0.00006996, -0.00003\n",
-       "        Updates (width, height): -32.10238266, -33.89\n",
-       "        Params (width, height): 11882.62500000, 15446.96\n",
-       "        Figure of merit:          0.23\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 18\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00006996, -0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-32.10238266, -33.89\u001b[0m\n", - " Params (width, height): \u001b[34m11882.62500000, 15446.96\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.23\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 19\n",
-       "        Gradient (width, height): -0.00012461, -0.00004\n",
-       "        Updates (width, height): -35.48598480, -34.69\n",
-       "        Params (width, height): 11847.13867188, 15412.27\n",
-       "        Figure of merit:          0.24\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 19\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00012461, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-35.48598480, -34.69\u001b[0m\n", - " Params (width, height): \u001b[34m11847.13867188, 15412.27\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.24\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 20\n",
-       "        Gradient (width, height): -0.00017479, -0.00007\n",
-       "        Updates (width, height): -39.04997635, -38.63\n",
-       "        Params (width, height): 11808.08886719, 15373.64\n",
-       "        Figure of merit:          0.25\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 20\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00017479, -0.00007\u001b[0m\n", - " Updates (width, height): \u001b[35m-39.04997635, -38.63\u001b[0m\n", - " Params (width, height): \u001b[34m11808.08886719, 15373.64\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.25\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 21\n",
-       "        Gradient (width, height): -0.00022474, -0.00003\n",
-       "        Updates (width, height): -41.99430847, -37.49\n",
-       "        Params (width, height): 11766.09472656, 15336.16\n",
-       "        Figure of merit:          0.27\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 21\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00022474, -0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-41.99430847, -37.49\u001b[0m\n", - " Params (width, height): \u001b[34m11766.09472656, 15336.16\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.27\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 22\n",
-       "        Gradient (width, height): -0.00019917, -0.00004\n",
-       "        Updates (width, height): -43.37148285, -36.94\n",
-       "        Params (width, height): 11722.72363281, 15299.21\n",
-       "        Figure of merit:          0.32\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 22\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00019917, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-43.37148285, -36.94\u001b[0m\n", - " Params (width, height): \u001b[34m11722.72363281, 15299.21\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.32\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 23\n",
-       "        Gradient (width, height): -0.00023876, -0.00001\n",
-       "        Updates (width, height): -44.86957169, -32.04\n",
-       "        Params (width, height): 11677.85449219, 15267.17\n",
-       "        Figure of merit:          0.37\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 23\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00023876, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-44.86957169, -32.04\u001b[0m\n", - " Params (width, height): \u001b[34m11677.85449219, 15267.17\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.37\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 24\n",
-       "        Gradient (width, height): -0.00028089, -0.00009\n",
-       "        Updates (width, height): -46.31550980, -37.97\n",
-       "        Params (width, height): 11631.53906250, 15229.21\n",
-       "        Figure of merit:          0.42\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 24\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00028089, -0.00009\u001b[0m\n", - " Updates (width, height): \u001b[35m-46.31550980, -37.97\u001b[0m\n", - " Params (width, height): \u001b[34m11631.53906250, 15229.21\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.42\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 25\n",
-       "        Gradient (width, height): -0.00032067, -0.00017\n",
-       "        Updates (width, height): -47.59043884, -43.07\n",
-       "        Params (width, height): 11583.94824219, 15186.13\n",
-       "        Figure of merit:          0.47\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 25\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00032067, -0.00017\u001b[0m\n", - " Updates (width, height): \u001b[35m-47.59043884, -43.07\u001b[0m\n", - " Params (width, height): \u001b[34m11583.94824219, 15186.13\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.47\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 26\n",
-       "        Gradient (width, height): -0.00022194, -0.00006\n",
-       "        Updates (width, height): -46.52510452, -41.42\n",
-       "        Params (width, height): 11537.42285156, 15144.71\n",
-       "        Figure of merit:          0.52\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 26\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00022194, -0.00006\u001b[0m\n", - " Updates (width, height): \u001b[35m-46.52510452, -41.42\u001b[0m\n", - " Params (width, height): \u001b[34m11537.42285156, 15144.71\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.52\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 27\n",
-       "        Gradient (width, height): -0.00048062, -0.00007\n",
-       "        Updates (width, height): -48.85026932, -40.79\n",
-       "        Params (width, height): 11488.57226562, 15103.93\n",
-       "        Figure of merit:          0.56\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 27\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00048062, -0.00007\u001b[0m\n", - " Updates (width, height): \u001b[35m-48.85026932, -40.79\u001b[0m\n", - " Params (width, height): \u001b[34m11488.57226562, 15103.93\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.56\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 28\n",
-       "        Gradient (width, height): -0.00069851, -0.00013\n",
-       "        Updates (width, height): -50.79639435, -43.85\n",
-       "        Params (width, height): 11437.77539062, 15060.08\n",
-       "        Figure of merit:          0.60\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 28\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00069851, -0.00013\u001b[0m\n", - " Updates (width, height): \u001b[35m-50.79639435, -43.85\u001b[0m\n", - " Params (width, height): \u001b[34m11437.77539062, 15060.08\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.60\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 29\n",
-       "        Gradient (width, height): -0.00067846, -0.00028\n",
-       "        Updates (width, height): -52.07724762, -47.99\n",
-       "        Params (width, height): 11385.69824219, 15012.09\n",
-       "        Figure of merit:          0.76\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 29\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00067846, -0.00028\u001b[0m\n", - " Updates (width, height): \u001b[35m-52.07724762, -47.99\u001b[0m\n", - " Params (width, height): \u001b[34m11385.69824219, 15012.09\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.76\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 30\n",
-       "        Gradient (width, height): -0.00098061, -0.00011\n",
-       "        Updates (width, height): -53.50069809, -46.18\n",
-       "        Params (width, height): 11332.19726562, 14965.91\n",
-       "        Figure of merit:          1.03\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 30\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00098061, -0.00011\u001b[0m\n", - " Updates (width, height): \u001b[35m-53.50069809, -46.18\u001b[0m\n", - " Params (width, height): \u001b[34m11332.19726562, 14965.91\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.03\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 31\n",
-       "        Gradient (width, height): -0.00123898, -0.00005\n",
-       "        Updates (width, height): -54.72206497, -40.91\n",
-       "        Params (width, height): 11277.47558594, 14925.00\n",
-       "        Figure of merit:          1.25\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 31\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00123898, -0.00005\u001b[0m\n", - " Updates (width, height): \u001b[35m-54.72206497, -40.91\u001b[0m\n", - " Params (width, height): \u001b[34m11277.47558594, 14925.00\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.25\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 32\n",
-       "        Gradient (width, height): -0.00022887, -0.00042\n",
-       "        Updates (width, height): -47.96701431, -47.35\n",
-       "        Params (width, height): 11229.50878906, 14877.65\n",
-       "        Figure of merit:          1.47\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 32\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00022887, -0.00042\u001b[0m\n", - " Updates (width, height): \u001b[35m-47.96701431, -47.35\u001b[0m\n", - " Params (width, height): \u001b[34m11229.50878906, 14877.65\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.47\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 33\n",
-       "        Gradient (width, height): -0.00157895, -0.00021\n",
-       "        Updates (width, height): -51.75486755, -47.55\n",
-       "        Params (width, height): 11177.75390625, 14830.10\n",
-       "        Figure of merit:          1.67\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 33\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00157895, -0.00021\u001b[0m\n", - " Updates (width, height): \u001b[35m-51.75486755, -47.55\u001b[0m\n", - " Params (width, height): \u001b[34m11177.75390625, 14830.10\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.67\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 34\n",
-       "        Gradient (width, height): -0.00282321, -0.00019\n",
-       "        Updates (width, height): -53.98826218, -47.18\n",
-       "        Params (width, height): 11123.76562500, 14782.92\n",
-       "        Figure of merit:          1.87\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 34\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00282321, -0.00019\u001b[0m\n", - " Updates (width, height): \u001b[35m-53.98826218, -47.18\u001b[0m\n", - " Params (width, height): \u001b[34m11123.76562500, 14782.92\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.87\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 35\n",
-       "        Gradient (width, height): -0.00385026, -0.00031\n",
-       "        Updates (width, height): -55.86886215, -49.75\n",
-       "        Params (width, height): 11067.89648438, 14733.17\n",
-       "        Figure of merit:          2.05\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 35\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00385026, -0.00031\u001b[0m\n", - " Updates (width, height): \u001b[35m-55.86886215, -49.75\u001b[0m\n", - " Params (width, height): \u001b[34m11067.89648438, 14733.17\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.05\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 36\n",
-       "        Gradient (width, height): -0.00465618, -0.00128\n",
-       "        Updates (width, height): -57.65287399, -50.94\n",
-       "        Params (width, height): 11010.24316406, 14682.22\n",
-       "        Figure of merit:          3.63\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 36\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00465618, -0.00128\u001b[0m\n", - " Updates (width, height): \u001b[35m-57.65287399, -50.94\u001b[0m\n", - " Params (width, height): \u001b[34m11010.24316406, 14682.22\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.63\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 37\n",
-       "        Gradient (width, height): -0.00662191, -0.00036\n",
-       "        Updates (width, height): -58.89441681, -48.74\n",
-       "        Params (width, height): 10951.34863281, 14633.48\n",
-       "        Figure of merit:          5.09\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 37\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00662191, -0.00036\u001b[0m\n", - " Updates (width, height): \u001b[35m-58.89441681, -48.74\u001b[0m\n", - " Params (width, height): \u001b[34m10951.34863281, 14633.48\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m5.09\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 38\n",
-       "        Gradient (width, height): -0.00028820, -0.00021\n",
-       "        Updates (width, height): -48.82099915, -44.16\n",
-       "        Params (width, height): 10902.52734375, 14589.32\n",
-       "        Figure of merit:          6.34\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 38\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00028820, -0.00021\u001b[0m\n", - " Updates (width, height): \u001b[35m-48.82099915, -44.16\u001b[0m\n", - " Params (width, height): \u001b[34m10902.52734375, 14589.32\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m6.34\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 39\n",
-       "        Gradient (width, height): -0.00794937, -0.00190\n",
-       "        Updates (width, height): -54.13339233, -51.36\n",
-       "        Params (width, height): 10848.39355469, 14537.95\n",
-       "        Figure of merit:          7.34\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 39\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00794937, -0.00190\u001b[0m\n", - " Updates (width, height): \u001b[35m-54.13339233, -51.36\u001b[0m\n", - " Params (width, height): \u001b[34m10848.39355469, 14537.95\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.34\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 40\n",
-       "        Gradient (width, height): -0.01504514, -0.00027\n",
-       "        Updates (width, height): -56.96682739, -45.44\n",
-       "        Params (width, height): 10791.42675781, 14492.51\n",
-       "        Figure of merit:          8.61\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 40\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.01504514, -0.00027\u001b[0m\n", - " Updates (width, height): \u001b[35m-56.96682739, -45.44\u001b[0m\n", - " Params (width, height): \u001b[34m10791.42675781, 14492.51\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.61\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 41\n",
-       "        Gradient (width, height): -0.02025164, -0.00054\n",
-       "        Updates (width, height): -59.42907333, -44.10\n",
-       "        Params (width, height): 10731.99804688, 14448.41\n",
-       "        Figure of merit:          9.45\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 41\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.02025164, -0.00054\u001b[0m\n", - " Updates (width, height): \u001b[35m-59.42907333, -44.10\u001b[0m\n", - " Params (width, height): \u001b[34m10731.99804688, 14448.41\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m9.45\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 42\n",
-       "        Gradient (width, height): -0.01665919, -0.00134\n",
-       "        Updates (width, height): -61.02301788, -49.65\n",
-       "        Params (width, height): 10670.97460938, 14398.75\n",
-       "        Figure of merit:          16.84\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 42\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.01665919, -0.00134\u001b[0m\n", - " Updates (width, height): \u001b[35m-61.02301788, -49.65\u001b[0m\n", - " Params (width, height): \u001b[34m10670.97460938, 14398.75\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m16.84\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 43\n",
-       "        Gradient (width, height): -0.01329965, -0.00249\n",
-       "        Updates (width, height): -60.43588257, -55.89\n",
-       "        Params (width, height): 10610.53906250, 14342.86\n",
-       "        Figure of merit:          20.59\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 43\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.01329965, -0.00249\u001b[0m\n", - " Updates (width, height): \u001b[35m-60.43588257, -55.89\u001b[0m\n", - " Params (width, height): \u001b[34m10610.53906250, 14342.86\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m20.59\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 44\n",
-       "        Gradient (width, height): -0.00164312, -0.00011\n",
-       "        Updates (width, height): -50.69790268, -46.40\n",
-       "        Params (width, height): 10559.84082031, 14296.46\n",
-       "        Figure of merit:          22.61\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 44\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00164312, -0.00011\u001b[0m\n", - " Updates (width, height): \u001b[35m-50.69790268, -46.40\u001b[0m\n", - " Params (width, height): \u001b[34m10559.84082031, 14296.46\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.61\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 45\n",
-       "        Gradient (width, height): -0.00385812, -0.00012\n",
-       "        Updates (width, height): -45.10823059, -38.83\n",
-       "        Params (width, height): 10514.73242188, 14257.63\n",
-       "        Figure of merit:          23.30\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 45\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00385812, -0.00012\u001b[0m\n", - " Updates (width, height): \u001b[35m-45.10823059, -38.83\u001b[0m\n", - " Params (width, height): \u001b[34m10514.73242188, 14257.63\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.30\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 46\n",
-       "        Gradient (width, height): -0.00143569, -0.00013\n",
-       "        Updates (width, height): -38.09048462, -32.80\n",
-       "        Params (width, height): 10476.64160156, 14224.83\n",
-       "        Figure of merit:          23.57\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 46\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00143569, -0.00013\u001b[0m\n", - " Updates (width, height): \u001b[35m-38.09048462, -32.80\u001b[0m\n", - " Params (width, height): \u001b[34m10476.64160156, 14224.83\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.57\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 47\n",
-       "        Gradient (width, height): 0.00183728, 0.00018\n",
-       "        Updates (width, height): -28.66710472, -24.55\n",
-       "        Params (width, height): 10447.97460938, 14200.29\n",
-       "        Figure of merit:          23.62\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 47\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00183728, 0.00018\u001b[0m\n", - " Updates (width, height): \u001b[35m-28.66710472, -24.55\u001b[0m\n", - " Params (width, height): \u001b[34m10447.97460938, 14200.29\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.62\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 48\n",
-       "        Gradient (width, height): 0.01098762, -0.00018\n",
-       "        Updates (width, height): -10.01298237, -21.74\n",
-       "        Params (width, height): 10437.96191406, 14178.54\n",
-       "        Figure of merit:          22.38\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 48\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.01098762, -0.00018\u001b[0m\n", - " Updates (width, height): \u001b[35m-10.01298237, -21.74\u001b[0m\n", - " Params (width, height): \u001b[34m10437.96191406, 14178.54\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.38\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 49\n",
-       "        Gradient (width, height): 0.01265254, -0.00008\n",
-       "        Updates (width, height): 5.70532608, -18.46\n",
-       "        Params (width, height): 10443.66699219, 14160.08\n",
-       "        Figure of merit:          21.76\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 49\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.01265254, -0.00008\u001b[0m\n", - " Updates (width, height): \u001b[35m5.70532608, -18.46\u001b[0m\n", - " Params (width, height): \u001b[34m10443.66699219, 14160.08\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m21.76\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 50\n",
-       "        Gradient (width, height): 0.01142320, 0.00000\n",
-       "        Updates (width, height): 16.13818169, -14.92\n",
-       "        Params (width, height): 10459.80468750, 14145.16\n",
-       "        Figure of merit:          22.23\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 50\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.01142320, 0.00000\u001b[0m\n", - " Updates (width, height): \u001b[35m16.13818169, -14.92\u001b[0m\n", - " Params (width, height): \u001b[34m10459.80468750, 14145.16\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.23\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 51\n",
-       "        Gradient (width, height): 0.00347026, 0.00007\n",
-       "        Updates (width, height): 16.57631302, -11.23\n",
-       "        Params (width, height): 10476.38085938, 14133.94\n",
-       "        Figure of merit:          23.60\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 51\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00347026, 0.00007\u001b[0m\n", - " Updates (width, height): \u001b[35m16.57631302, -11.23\u001b[0m\n", - " Params (width, height): \u001b[34m10476.38085938, 14133.94\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.60\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 52\n",
-       "        Gradient (width, height): 0.00192127, 0.00003\n",
-       "        Updates (width, height): 15.37921810, -8.72\n",
-       "        Params (width, height): 10491.75976562, 14125.21\n",
-       "        Figure of merit:          23.61\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 52\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00192127, 0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m15.37921810, -8.72\u001b[0m\n", - " Params (width, height): \u001b[34m10491.75976562, 14125.21\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.61\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 53\n",
-       "        Gradient (width, height): 0.00056530, 0.00004\n",
-       "        Updates (width, height): 13.01727200, -6.57\n",
-       "        Params (width, height): 10504.77734375, 14118.64\n",
-       "        Figure of merit:          23.61\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 53\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00056530, 0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m13.01727200, -6.57\u001b[0m\n", - " Params (width, height): \u001b[34m10504.77734375, 14118.64\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.61\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 54\n",
-       "        Gradient (width, height): -0.00052047, 0.00002\n",
-       "        Updates (width, height): 9.96105862, -5.12\n",
-       "        Params (width, height): 10514.73828125, 14113.52\n",
-       "        Figure of merit:          23.60\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 54\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00052047, 0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m9.96105862, -5.12\u001b[0m\n", - " Params (width, height): \u001b[34m10514.73828125, 14113.52\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.60\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 55\n",
-       "        Gradient (width, height): -0.00127735, -0.00002\n",
-       "        Updates (width, height): 6.67268562, -4.37\n",
-       "        Params (width, height): 10521.41113281, 14109.16\n",
-       "        Figure of merit:          23.57\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 55\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00127735, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m6.67268562, -4.37\u001b[0m\n", - " Params (width, height): \u001b[34m10521.41113281, 14109.16\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.57\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 56\n",
-       "        Gradient (width, height): -0.00175436, -0.00006\n",
-       "        Updates (width, height): 3.48865795, -4.18\n",
-       "        Params (width, height): 10524.89941406, 14104.98\n",
-       "        Figure of merit:          23.55\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 56\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00175436, -0.00006\u001b[0m\n", - " Updates (width, height): \u001b[35m3.48865795, -4.18\u001b[0m\n", - " Params (width, height): \u001b[34m10524.89941406, 14104.98\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.55\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 57\n",
-       "        Gradient (width, height): -0.00199518, -0.00008\n",
-       "        Updates (width, height): 0.64174372, -4.33\n",
-       "        Params (width, height): 10525.54101562, 14100.65\n",
-       "        Figure of merit:          23.54\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 57\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00199518, -0.00008\u001b[0m\n", - " Updates (width, height): \u001b[35m0.64174372, -4.33\u001b[0m\n", - " Params (width, height): \u001b[34m10525.54101562, 14100.65\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 58\n",
-       "        Gradient (width, height): -0.00204408, -0.00009\n",
-       "        Updates (width, height): -1.72443676, -4.62\n",
-       "        Params (width, height): 10523.81640625, 14096.03\n",
-       "        Figure of merit:          23.54\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 58\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00204408, -0.00009\u001b[0m\n", - " Updates (width, height): \u001b[35m-1.72443676, -4.62\u001b[0m\n", - " Params (width, height): \u001b[34m10523.81640625, 14096.03\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 59\n",
-       "        Gradient (width, height): -0.00194095, -0.00009\n",
-       "        Updates (width, height): -3.53530407, -4.86\n",
-       "        Params (width, height): 10520.28125000, 14091.17\n",
-       "        Figure of merit:          23.54\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 59\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00194095, -0.00009\u001b[0m\n", - " Updates (width, height): \u001b[35m-3.53530407, -4.86\u001b[0m\n", - " Params (width, height): \u001b[34m10520.28125000, 14091.17\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 60\n",
-       "        Gradient (width, height): -0.00168971, -0.00008\n",
-       "        Updates (width, height): -4.73251057, -4.85\n",
-       "        Params (width, height): 10515.54882812, 14086.32\n",
-       "        Figure of merit:          23.55\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 60\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00168971, -0.00008\u001b[0m\n", - " Updates (width, height): \u001b[35m-4.73251057, -4.85\u001b[0m\n", - " Params (width, height): \u001b[34m10515.54882812, 14086.32\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.55\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# set up the single patch radiation monitor sizes\n", - "obj_fn_monitor_dim_single_patch = 1.25 * np.mean(patch_init_wh)\n", - "obj_fn_monitor_center_y_single_patch = 0.5 * patch_init_wh[1]\n", - "\n", - "# set up where the directivity monitor will be placed\n", - "directivity_center_x = np.mean(sub_x_single_patch)\n", - "directivity_center_y = np.mean(sub_y_single_patch)\n", - "directivity_size_x = 5 * mm + sub_x_single_patch[1] - sub_x_single_patch[0]\n", - "directivity_size_y = 5 * mm + sub_y_single_patch[1] - sub_y_single_patch[0]\n", - "\n", - "# set ranges of theta and phi to record directivity for\n", - "theta = np.linspace(-np.pi, np.pi, 201)\n", - "phi = np.linspace(0, np.pi, 101)\n", - "\n", - "# set the optimization theta, phi grid that we can compute directivity for via\n", - "# a near field monitor and the field projector\n", - "num_theta_opt_points = 12\n", - "theta_opt = theta[\n", - " (len(theta) // 2) - (num_theta_opt_points // 2) : (len(theta) // 2)\n", - " + (num_theta_opt_points // 2)\n", - " + 1\n", - "]\n", - "phi_opt = phi # use the full phi sweep, but limit the theta points to be centered around 0 degrees\n", - "\n", - "monitor_directivity = td.DirectivityMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0],\n", - " size=(\n", - " directivity_size_x,\n", - " directivity_size_y,\n", - " 4 * mm,\n", - " ),\n", - " freqs=opt_freqs_single_patch,\n", - " name=\"directivity\",\n", - " phi=list(phi),\n", - " theta=list(theta),\n", - " far_field_approx=True,\n", - ")\n", - "\n", - "monitor_radiation = td.FieldMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", - " size=(directivity_size_x, directivity_size_y, 0.0),\n", - " freqs=opt_freqs_single_patch,\n", - " name=\"radiation\",\n", - ")\n", - "\n", - "monitor_far_field = td.FieldProjectionAngleMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", - " size=(directivity_size_x, directivity_size_y, 0.0),\n", - " freqs=opt_freqs_single_patch,\n", - " name=\"far_field\",\n", - " phi=phi_opt,\n", - " theta=theta_opt,\n", - " far_field_approx=True,\n", - " proj_distance=50 * wavelength0, # project far away form antenna\n", - ")\n", - "\n", - "single_patch_optimization_monitors = [monitor_directivity, monitor_radiation, monitor_far_field]\n", - "\n", - "initial_poynting_flux = compute_poynting(\n", - " patch_init_wh,\n", - " params_to_boxes_single_patch,\n", - " sub_x_single_patch,\n", - " sub_y_single_patch,\n", - " single_patch_optimization_monitors,\n", - " opt_freqs_single_patch,\n", - ")\n", - "\n", - "# Set up the objective function for the single patch that is a function\n", - "# of the patch width and height\n", - "obj_fn = lambda patch_wh: objective_fn(\n", - " patch_wh,\n", - " params_to_boxes_single_patch,\n", - " sub_x_single_patch,\n", - " sub_y_single_patch,\n", - " single_patch_optimization_monitors,\n", - " opt_freqs_single_patch,\n", - " initial_poynting_flux,\n", - ")\n", - "\n", - "# Get function to compute the gradient of the objective\n", - "obj_val_and_grad = value_and_grad(obj_fn)\n", - "\n", - "patch_wh = patch_init_wh.copy()\n", - "\n", - "# Set up optimization parameters and optimizer\n", - "learning_rate = 30\n", - "optimizer = optax.adam(learning_rate=learning_rate, b1=0.8)\n", - "opt_state = optimizer.init(patch_wh)\n", - "\n", - "num_steps = 60\n", - "print_iteration_frequency = 1\n", - "\n", - "full_eval_frequency = 10\n", - "s11_sq_dB_evolution = []\n", - "s11_f_ghz = None\n", - "realized_gain_evolution = []\n", - "theta_eval_evolution = None\n", - "\n", - "# Set bounds on patch width and height in the optimization\n", - "clip_min_single = anp.array([patch_min_width, patch_min_height])\n", - "clip_max_single = anp.array([patch_max_width, patch_max_height])\n", - "\n", - "figure_of_merit_single_patch = np.zeros(num_steps + 1)\n", - "\n", - "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", - "# at each step and clipping the design on the bounds\n", - "for step_idx in range(0, num_steps):\n", - " f, g = obj_val_and_grad(patch_wh)\n", - "\n", - " figure_of_merit_single_patch[step_idx] = f\n", - "\n", - " if (step_idx % full_eval_frequency) == 0:\n", - " \n", - " s_matrix_eval, _, theta_eval, realized_gain_eval = evaluate_single_antenna(\n", - " patch_wh, freqs_s_params, opt_freqs_single_patch\n", - " )\n", - " s_matrix_f_ghz = s_matrix_eval.f / 1e9\n", - " s11_f_ghz = s_matrix_f_ghz.copy()\n", - " s11_data_selection = s_matrix_eval.isel(port_out=0, port_in=0)\n", - " s11_sq_dB_evolution.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", - " \n", - " realized_gain_evolution.append(\n", - " {\n", - " \"Gtheta\" : realized_gain_eval[\"Gtheta\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", - " \"Gphi\" : realized_gain_eval[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values\n", - " } \n", - " )\n", - " \n", - " theta_eval_evolution = theta_eval.copy()\n", - " \n", - " updates, opt_state = optimizer.update(-g, opt_state, patch_wh)\n", - "\n", - " patch_wh = optax.apply_updates(patch_wh, updates)\n", - " patch_wh = anp.array(patch_wh)\n", - " patch_wh = anp.clip(patch_wh, a_min=clip_min_single, a_max=clip_max_single)\n", - "\n", - " if (step_idx % print_iteration_frequency) == 0:\n", - " output_text = Text.assemble(\n", - " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", - " \"\\n\",\n", - " (f\"\\tGradient (width, height): \", \"\"),\n", - " (f\"{g[0]:.8f}, {g[1]:.5f}\", \"magenta\"),\n", - " \"\\n\",\n", - " (f\"\\tUpdates (width, height): \", \"\"),\n", - " (f\"{updates[0]:.8f}, {updates[1]:.2f}\", \"magenta\"),\n", - " \"\\n\",\n", - " (f\"\\tParams (width, height): \", \"\"),\n", - " (f\"{patch_wh[0]:.8f}, {patch_wh[1]:.2f}\", \"blue\"),\n", - " \"\\n\",\n", - " (f\"\\tFigure of merit: \", \"bold\"),\n", - " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", - " )\n", - " console.print(output_text)\n", - "\n", - "figure_of_merit_single_patch[num_steps] = obj_fn(patch_wh)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we set up the objective function for our single patch optimization and use the `Adam` optimizer from `optax` to modify the patch width and height according to the adjoint gradient." - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot the results of the optimization including the optimization trajectory and the resulting patch geometry\n", - "# compared to the initial state\n", - "plot_optimization_results(\n", - " figure_of_merit_single_patch,\n", - " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", - " params_to_boxes_single_patch(patch_init_wh),\n", - " params_to_boxes_single_patch(patch_wh),\n", - ")\n", - "\n", - "# Plot the evolution of the antenna S11 and realized gain during the course of the optimization\n", - "plot_antenna_evolution(s11_sq_dB_evolution, s11_f_ghz, realized_gain_evolution, opt_freqs_single_patch, theta_eval_evolution)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABVEAAAKVCAYAAADGPqv/AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsnQV0FOcXxS+WhASCBA3u7u60UCjSFirU3Vvq3n9dqLu3tEBdaWmxUihQHIq7uzvECJL/uW+ZdBPi2c1K7u+cOetjOzPffPe7770CSUlJSRBCCCGEEEIIIYQQQgiRJgXTflsIIYQQQgghhBBCCCEEkYgqhBBCCCGEEEIIIYQQGSARVQghhBBCCCGEEEIIITJAIqoQQgghhBBCCCGEEEJkgERUIYQQQgghhBBCCCGEyACJqEIIIYQQQgghhBBCCJEBElGFEEIIIYQQQgghhBAiAySiCiGEEEIIIYQQQgghRAZIRBVCCCGEEEIIIYQQQogMkIgqhBBCiExp1qwZChQogNDQUOzfv9/Xq5OvOX78OIYNG4YBAwagatWqKFq0KMLDw1GzZk1cfPHF+Oabb5CYmOjr1Qwohg8fbsf3ddddh2AjNjYWVapUsXP41KlTHpkn9xWn7NK9e3f73ZQpU+BtfvrpJ1teqVKlEBERYdv/6quv2vmTFj179kRkZCR27drl9XUTQgghRGAiEVUIIYQQGTJv3jwsWbLEnlOc+/rrr72ynGeeecYEFj6KtFmwYAHq1auHG264Ab///juioqLQr18/9O/fH2XKlMFvv/2Gq666CnXr1kVcXJyvV1f4AUOGDMG2bdvssWDB/HHrf++992LQoEGYMWMG2rZti3PPPRdbtmzBI488grPPPhvx8fFn/Obll1/G0aNH8dhjj/lknYUQQgjh/+SPOykhhBBC5JjPP//cHitVqpTitch7AbVLly7YuHGjiabr16/HwoUL8fPPP+PHH3/E3LlzsXPnThOB+Cg3atYZOHAgVq5ciZdeegnBxPbt2/HGG2+gTZs2Jrb7mi+//NL2M4VNb8GBhHfeeQfFihXDnDlz8Oeff+KXX37B2rVr0aRJE0yfPh1PPvnkGb9r3bq1nVcjRozA4sWLvbZ+QgghhAhcJKIKIYQQIl3oZvzuu+/s+VdffWXCxNKlS82dKvIOhiBfcskl9n8wjH/UqFGoUaPGGd8rW7asOQ4pFDH1gsgaJUqUQP369VGxYkUEEx9++CGOHTuGG2+8Ef4A009wPzP9hLfg8U8effRRtGzZMvl9OrW5P8j777+Pw4cPn/Fb7qekpCQTYYUQQgghUiMRVQghhBAZ5hU8cuQIGjdujLPOOguXXnpppm5U97yHixYtwoUXXmgCBkW9hg0bmjOOQoU7/P6zzz5rz/no5FxMK0/liRMnMHToUFtO6dKlbb4UFG+//XZs3br1jPXhenA+/D7FyFdeeQWNGjWyXKIMh+f60R2Xmk2bNtnvqlevbuv76aefolWrVpZfkaJbr169MGvWrDT3AV2hDz/8sDnuKlSogJCQEJQvXx7nnXceJk6ciOzy7bffYsOGDTafjz76KNOwbDoPuX3uUIBlyDKFpeLFi5uQxf3wxBNP4ODBgxluP3Npvvvuu2jatKn9jmLjbbfdhgMHDth3KdQ9//zzJpBxudHR0bjnnnssH2dGaRs2b96Ma665xuYXFhZmaQj4flrh1vzvmEriyiuvtOUwfyWXxfQGd999N3bs2JHp8Tht2jT7Dyg2cx8yF2pmOVH5f/E3/P+KFCliOTbr1KljaRP++eefM77P4/Pjjz9Gx44d7TjhdvH7XEc6QzPLMUrXZOfOnW37eKx16tQJY8eORXahE/mzzz6z8+Oyyy7L8P/lOjNfqHNe8HxlOPyqVasyXU521tfbOVG5f50BniuuuOKMz7mezA/L4zWtdaRbl9vOgSPn2BZCCCGESCZJCCGEECIdunTpQrUz6c0337TXM2bMsNclSpRIiouLS/M33bp1s+88+uijSSEhIUkNGjRIuuyyy+z9QoUK2Wf33HNPit9ce+21Sc2aNbPP+MjXzvTZZ58lf+/IkSNJ3bt3t+8VK1bM5nnxxRcn1atXz96LiopKWrBgQYp5T5482T7r2LFjUs+ePZPCw8OTzj333KSLLrooqUqVKvZZyZIlkzZu3Jjid3zNz6pVq2brUaRIkaSzzz47adCgQUl169a1z0JDQ5Nmz559xj7o0aNHUsGCBZOaNGmS1Ldv36RLLrkkqWXLlvYbTm+//Xa2/oeBAwfa784777yknLB///6k5s2b2zwiIyOTzj//fNv+MmXK2Hs1atTIcPsvv/zypKJFi9p+GzBgQFK5cuXssxYtWiTFxMQkde7cOXm+/fv3t+ODn/fp0+eMdXn66afts2uuucb+r/Lly9v+4e8iIiLss06dOiXFx8en+N3WrVuTj7327dvbb7hvo6Oj7f2yZcsmrV27Nt3j8Y477rD/pGHDhnY89urVK+nbb7+17wwbNsy+w//ZneHDhycVKFDApnbt2iVdeumlto38L3kspz6OExIS7BjjvMLCwmz7+RvnOOP+nj9//hnr6BwXTz31lC2L28/fOecE3xs5cmS2/vO///7bfsv/Ji3c/98LL7zQjm+uO/dNzZo1k8+xmTNnemx9nf+C56Q3+OOPP2z+pUuXzvRceuihh9L8nNcTfu4cG0IIIYQQDhJRhRBCCJEmq1evNjGB4sqePXuS369fv769/+WXX6b5O0co4fTxxx+n+GzSpEkmsFCAoiiWlrjGx/S44oor7DsU3Hbv3p3is7feess+q1OnTtKJEyfOEFEd0W/nzp3Jn1Go6927t312yy23pCkyOUIT94cD53/DDTfYZxTjUjN27NikHTt2nPE+BSmKjdyn27ZtS8oqjgj33HPPJeUEClz8PYXAffv2Jb9/9OhRE/ockTm97a9Vq1bSpk2bkj/jPLif+RmF4rZt26aY74YNG5JKlSpln0+fPj3N/5nTBRdckEKM5zHhCNQU4d2hgD5q1KikY8eOpXg/MTEx6bHHHrPfUFTN6Hj84IMP0tw/6YmoFJf5/rRp0874DY+/1IL9I488kry/3EVpruONN96YLFin3gZn/Sjmpxblnf3F/ZIdnnjiiQzFQvf/l+Lu4sWLUxzfd911V/KxT3HYE+ubnojqfo5mZ0r9f7377rv2PgcM0uPuu++271AsTQsOGPFz/l9CCCGEEO4onF8IIYQQafLFF1/Y4/nnn2/hzw6sDJ+VAlMMk7/11ltTvMfK2L1798bJkycxefLkbK0PQ+4ZZstQcYa3lytX7oyK3H379rUCMuPGjTvj9wwjHjZsmIXXOzDU2kkjkFGY/XvvvWeh5g6FChXCiy++aM+nTp1qoebu9OnTJ838mh06dMCdd95p32de06yyd+9ee0y9zVmBVcmZloHbz5QETGHgwBy3DPnmfpg5c6ZNacFQ/mrVqiW/5jyYPoEsW7bMjgX3+TK9AsPdyaRJk9KcJ8PGGfbunnagcuXKlu6BMH9lQkJC8mdMQcBjkSkN3GGIPfNg8rgYP368VVhPCx57d9xxB7LD7t27LSSfYeCp4X/RokWL5Ndc1w8++MCev/XWWxYm776O3IdMCcDCYCwGlhbPPfcc2rVrl+I9FgrjOqxZsybNdBXpwaJjpEGDBpl+lykdmKrB/fh+7bXXrJgcUy4wZN+b68tz8tprr832lPp/cf57phVIDx7zhGlK0oIpDZxCbkIIIYQQ7hRO8UoIIYQQ4nReR1apdhdNHZjD8vHHH7d8kKwQX6tWrTTnwTySaUFRh2JXevkh04M5DGmCo0BJQS29nIv8HsVAVtpOXdSmWbNmaa4PSW99ChcujHPPPTdN4Yf5MZlPdP/+/SnEWcL3xowZYyIjv+MIrRR5yerVq5EX8H9iTlPmQnUXyhwolFHYpqhLYZu5PFNvP/O/poZ5Pp39ypy56X2eXq5SzjP1PiP83yjIcv9RyEq9PqycTmGWYiRzrnLbnGOWz9etW5dC3HS4+OKLkV2Y05b5O3nMM8cr55tePtp///0XMTExlqc3rWOfuWSZm5RFi7if08rZmdbvmNO0Zs2aJoryGGVOz6wKwMRd3E4PCpJpLZc5kN98803bB95cX+a4dfLT+hpnfzn7TwghhBDCQSKqEEIIIc6A4t+uXbuSBTZ36Kaj4/P33383t6rjyEwNxbW0YAEa4u4yzAosrEToeszMBes4N7OzPiw2kxZ0lNJJmN5vKZCm3ha6O++77740Cys5pOeESws6genq27NnD7KLIw7THZoejhCelpDM7aeQmp6jL7396gjd6f3PGa0PXZwUUbdt25b8Hvfl1VdfjV9//RUZkd5+dXeGZhW6YSnqfvXVVzZxm1i0i65Wrov7tud2P3v6nHGqzzu/TY+SJUvalBbOtrj/D95aX0/gHHMZnXcUujPaL877aRVbE0IIIUT+RiKqEEIIIc7AESkpgnTr1u2Mzx0RiO4xhvQy/Dc1mVWQzy6O47B58+ZpOkrdSR1inJv1ye7v5s+fb2kMuE9eeeUVc+tRbKIT0Qmp5+eu1JJZo1WrViaiOpXH85LMtt/T/7M77vuIYeIUUOlafPnll03MZCV1J7yfjtVZs2alu1/d0wZkFbqU6RieMGEC/v77b3M4T5s2zZ7zuOd54qQt8ASe3JeOMJodsT490tunnlrfVatW2X+aXRjOf9NNN50hlGeURsD5LD1R3RGf6TIXQgghhHBHIqoQQgghUrBz504LiSd0A86YMSPd7zJUm6H5/fr18/p6OWHBnTp1wvvvvw9/hflHKTrdddddePjhh8/43Annzw4XXHABfvvtN/z5558WZkw3cFahm9jdyZsWzmfOd/MChuOnx6ZNm5JzpDr8+OOP9vjDDz+kmZYgJ/s1K9CFS+c1J0eUZIg7c+lSDB84cKDl4HT2XUbblZf72cmfy3M4Iw4dOmRTWm7UtP4Hb0DXu5M+JLu4i6hOGgduM/+HtFzBTLtAmN4iLZz9lZ1zTAghhBD5AxWWEkIIIUQK6C5l4Se6OSkGpjc5AmFmofVZxXEUMrdlWjAXKmEagbwOE84OBw4csEf3QkwOXO/0ivRkxJVXXmnOucTERCvo5LhyM3LDxsfH2/OuXbuaY3DRokWWTzQt0ZxCODnrrLOQV9DdmVZ6Agr4FLIYmk0Hblb2K8Xlffv2IS9guPczzzxjomNcXJwVUCKtW7e2FAdcTx6jqeH/8f333+fZfnZEwhUrVmT6XaYqSA2PNQrWTq5hb8L5Z3StSW9KnUeVYi8dyoTF51Izffp0c6Iyb6sjiqeGOYyJ+7EnhBBCCEEkogohhBAiBcxzml6xGXdYbIeMHj06zRyk2cVxuy1fvjzNz+kyu+iii0wEufDCC5Ndcu4wF+I333zj06IwTqEqOuvcK8VTQGV1+IyciunBnKx0YoaFhVlI+4ABA9KcDwW8J5980ty6To5XphK45JJLTHSic9Ldmcj9dcstt9i6MRw+dREnb0JRkYKwI/Y6zuYHHnjAnt922222van363vvvZdiPgy353c9DQVSOk7TOrYZ0k/3JlM2OMct1/XOO++059wGVrV3YFExFqai45LuyJwUucoujlDLFAeZ8fzzzyeLh4Qi/SOPPGK5UOkA53kXKLDoHWF6ABYmc+Bxz/OPDB48GCVKlEjz90zZQJj3VgghhBDCHYXzCyGEECKZqVOnWnVzOrVYSTwjGjVqZG43ChVffvllsviVU1jAimHRDFtnrkNWd6dIRUHw+uuvt+8MGzbMxKtx48ahXr16lhuVohQFQoqqdFrSQbdy5UqfheNyXVmBndXJuW5dunSx7aDwRsGQYho/zy502P3zzz8miP7xxx8mXlNYZiV0Ok0p2jFUmS5ivsf/0OGDDz6wvJNz5syx4kYU2Bimzv+bIiHXk+JzXkIRntvAdeU+opDLXKMUdjt06GDh8u48/fTTJj5SJKagzOOPTlbuV/4+Ojo6WQDzBDyOeEw/9NBDaNKkiR2PFLN5nM2ePdu+87///c+KfjlwnfkfTJo0yURf7mc6ailkbtmyxSq/M92D47r2JjxvuG5cn/TC9R2Rna5Lnst0hHIdmXt3/fr1dj7S0ekuZvs7HGC4++678e6776J9+/bo0aOHbQf/E+4H7heKxmlBsZvnGLc3dUE9IYQQQgg5UYUQQgiRjBOaz2JIWSms4rhRPRHST9GT4mjPnj0tBJnCLOdLoc+BghTDwCns8HsUpujMpPhGgZJh73ztVEH3BRSrKFzR9cbn3CaKaL169TLBmYWxcgqFVIaPDx061KrG03FLQZXh4xQUmZ/zu+++M8HUvZAShTEKjC+99JIJptyHFDBZmInOPYb/56R6fW7genA/UWikcMWQ/IoVK+Kpp57CxIkTzygERfcxjwWKYkxB4GwzQ+u5jylwehKG5n/88ce49NJLzdX7119/mcDPZXJdKMqlFnopXDM1wocffmgCPwVeHo9cN+bIpcifV2HiFGpvvvlmW3ceE+nBYmcUpbkf6fLm+rIyPd2nc+fOtQGNQIODFExFQDGexz1TRNAxTHcqrxXpFRnjOcG0EJdffjlKly6d5+sthBBCCP+mQFJ2SsMKIYQQQgiRCyjWUXyks5TPhffYvn27DSg0btw4uaCSAx21FLKZYzat1Bj5EQ4ejRkzJteDHUIIIYQITuREFUIIIYQQIgipVKmSpSSg05guS5E+TGHAfcRc0BJQhRBCCJEWElGFEEIIIYQIUpiugaHszN/KglEibR577DFLF8KUF0IIIYQQaaHCUkIIIYQQQgQpLKrEXKciY5iHVwghhBAiI5QTVQghhBBCCCGEEEIIITJA4fxCCCGEEEIIIYQQQgiRARJRhRBCCCGEEEIIIYQQIgMkogohhBBCCCGEEEIIIUQGSEQVQgghhBBCCCGEEEKIDJCIKoQQQgghhBBCCCGEEBkgEVUIIYQQQgghhBBCCCEyQCKqEEIIIYQQQgghhBBCZIBEVCGEEEIIIYQQQgghhMgAiahCCCGEEEIIIYQQQgiRARJRhRBZZt68eejYsSMiIiJQoEABLFq0KM333377bXvctGlTtuY/fPjwHP1OCCGEEEIIIYQQwptIRBUiByxZsgRXXnklKlWqhJCQEFSoUAGdO3fGs88+6/Vlr1+/Hrfeeitq1qyJsLAwREZGolOnTnjnnXcQHx/vteUeP34cl1xyCQ4cOIC33noLX331FapVq5bm+0lJSfBnZs6ciWeeeQaHDh3y9aoIIYQQQgghhBAiACiQ5O9qhxB+xsiRI3H55ZejatWquPrqqxEdHY0tW7Zg4sSJ2Lt3L9auXeu1ZY8ZM8YEy9DQUFxzzTVo3LgxEhMTMX36dPzyyy+47rrr8Omnn3pl2atWrUKDBg3w2Wef4aabbsrw/ZMnT5q4yvWkszSr5PR32eX111/HQw89hI0bN6J69epeW44QQgghhBBCCCGCg8K+XgEhAomDBw/ihhtuQJs2bfD333+bC9Xhueeew44dO7y2bAp+l112mbk/ueyKFSsmf3bnnXdi3bp1JrJ6iz179thjyZIlM32/UKFCNmWXnP5OCCGEEEIIIYQQwpsonF+IbEC36eHDh3HjjTemEFAd6Er1Fq+++ipiYmLw+eefpxBQHWrXro177rkn+fXChQvRp08fC/cvVqwYevTogdmzZ5/xu+3bt5swXL58eXOANmrUCF988UWK79Dh2q1bN3tOJyxdot27d0/3/fRym3JZ3HfcT1xWjRo1cPvtt5ublmT0u8zWkeH5/C3FZK4XRd0SJUrg+uuvR1xcXIrv0YVKuHz+RnlYhRBCCCGEEEIIkRFyogqRDWJjY5NzouY1f/zxh+VBZQGnzFi+fDm6dOliAurDDz+MIkWK4JNPPjGBc+rUqWjXrp19b/fu3Wjfvr2JiIMHD0bZsmUxbtw4EzqPHDmCe++9177HHKzM/zpkyBDcfffd5sSloElxNq33KXqmhi7dtm3bWh7SW265BfXr17fv/fzzzyZypiVKZ2cdHQYNGmTi6EsvvYQFCxZg6NChKFeuHF555RX7/MILL8SaNWvw3XffWQ7XMmXK2PucrxBCCCGEEEIIIUSaMCeqECJrbNq0KSk8PJx5hJPq1KmT9PDDDyf9/fffSSdOnPDqcg8fPmzLvOCCC7L0/QEDBiSFhIQkrV+/Pvm9HTt2JBUvXjypa9euye/deOONSRUrVkzat29fit9fdtllSSVKlEiKi4tLfm/y5Mm2Dj/99FOK76b1/rBhw+y9jRs3Jr93zTXXJBUsWDBp3rx5Z6zvqVOn0v1dVtfx6aeftt/ecMMNKb43cODApKioqBTvvfbaa2csRwghhBBCCCGEECI9FM4vRDZgPtJZs2aZ25HOSobYn3322eYQZai/t6DjkhQvXjxLxZkmTJiAAQMG2Ho5MAXAFVdcYUWoOD/WlGMxqvPOO8+e79u3L3nq3bu3pS2gk9MTnDp1Cr/99pstq3Xr1md8nl4RqZys42233ZbiNR25+/fvT96HQgghhBBCCCGEENlFIqoQ2aRp06b44YcfcODAAUyePNlybm7dutWKPjm5Nz/66CO0bNnSwuiZg9OdjD5LD4blk6NHj2b63b1799p61KtX74zPGjRoYIIm15ffY2j9p59+aqHs7hO3yb1oVG7hsihiNm7cONu/y+46Vq1aNcXrUqVKJRcFE0IIIYQQQgghhMgJyokqRA5hDk/mGOVEsW/06NFYvXo1WrRoYa5PCqTffvvtGb/L6LOMRFQWY1q2bJnH1p9iKrnqqqtw7bXXpisY+5KcrGOhQoXS/B6drEIIIYQQQgghhBA5QSKqEB6AFeMJq8EThtKTsWPHnvHdjD7LiP79+5sjk+kEOnTokO736NIMDw83QTc1q1atQsGCBVGlShVERERYegCG//fs2RPehOtEITi7IjB/5411TC99gBBCCCGEEEIIIURaKJxfiCzCXKLx8fFnvL9kyRKMHz/eHKjuOUg9zcMPP2zC50033WQV61Ozfv16vPPOO+bE7NWrF0aNGoVNmzYlf87f0P3auXNnEzT5vYsuushyjqYlbtJd6yko3FI8/uOPP/Dvv/9m2SXqrXXkfiRMFSCEEEIIIYQQQgiRGXKiCpFFHn30UaxZswaXXHIJmjVrhhMnTmDRokX46quvzIHKR29Sq1YtE0EvvfRSy216zTXXWI7RxMREzJw5Ez/99BOuu+46++4LL7yAv/76ywTTO+64A4ULF8Ynn3yCY8eOWTEsh5dfftnyurZr1w4333wzGjZsaLleWayJhbL43FMMGTLECl5169YNt9xyi23Dzp07bb0pUJcsWTLN33ljHVu1amWP//vf/yyXLfPTsniVI64KIYQQQgghhBBCuCMRVYgs8sADD5jgRyFwxIgRFmJeo0YN3HXXXXjooYcs9NzbnH/++eZ8fe2118xpyiJVTCXAvKBvvPGGiYykUaNGmDZtGh577DG89NJLlluUIuTXX39tjw7ly5fH3Llz8dxzz2HkyJH48MMPERUVZb9/5ZVXPLrulSpVwpw5c/Dkk0/im2++sUJTfK9Pnz6WfiA9vLGObdq0wfPPP4+PP/7YXMTcPxs3bpSIKoQQQgghhBBCiDQpkKRqK0J4jdtuuw0VKlSwQlLZ+UwIIYQQQgghhBBC+A/KiSqEF2Cof0JCgrlV3Z9n9pkQQgghhBBCCCGE8D/kRBXCC9Bd+uyzz6Z4b9iwYZazNKPPhBBCCCGEEEIIIYT/IRFVCCGEEEIIIYQQQgghMkDh/EIIIYQQQgghhBBCCJEBElGFEEIIIYQQQgghhBAiAySiCiGEEEIIIYQQQgghRAYUzuhDkZJTp05hx44dKF68OAoUKODr1RFCCJFLmBb86NGjiI6ORsGCGlcUQgghhBBCCJE2ElGzAQXUKlWq+Ho1hBBCeJitW7eicuXKvl4NIYQQQgghhBB+ikTUbEAHqtPZjoyMzNE8jh8/jgkTJqBXr14oUqSIh9cwf+LpfRobG2uuNEc4j4iIQH5Dx6nn0T71z3165MgRGxxzru9CCCGEEEIIIURaSETNBk4IPwXU3Iio4eHh9nsJKZ7B0/u0UKFCyc85z/wqouo49Szap/69T5WiRQghhBBCCCFERigBnBBCCCGEEEIIIYQQQmSAnKhCpAHdbUIIIYQQQgghhBBCEImoQqSC4fvMiyqEEEIIIYQQQgghBJGIKkQ+5OTJk5ZPMj34WeHChZGQkGDfFblH+9Q3+5S5Ut3zHAshhBBCCCGEEDlBIqoQ+YikpCTs2rULhw4dyvR7FSpUwNatW1Vwx0Non/pun5YsWdK+p/0uhBBCCCGEECKnSEQVIhV0tV100UX2/JdffkFYWBiCBUdALVeunOV9TU9UOnXqFGJiYlCsWDEULKj6c55A+zTv9ylF1ri4OOzZs8deV6xY0QdrKYQQQgghhBAiGJCIKkQqGBY8duzY5OfBArfFEVCjoqIyFacSExNNQJbg5xm0T32zT4sWLWqPFFJ57Cu0XwghhBBCCCFETlBPXoh8gpMDlQ5UIfITzjGfUR5gIYQQQgghhBAiIySiCpHPUF5Ikd/QMS+EEEIIIYQQIrdIRBVCCCGEEEIIIYQQQogMkIgqhPBrunfvjnvvvTfX8/ntt99Qu3Zty4npifn5C9dddx0GDBiQq3lMmTLF3JrMmetNqlevjrffftuj87zhhhvw5ptvenSeQgghhBBCCCFEaiSiCiHyBbfeeisuvvhibN26Fc8//zwCjU2bNpnQuWjRohTvv/POOxg+fHiu5t2xY0fs3LkTJUqUgCfg+pQsWfKM9+fNm4dbbrkFnuTBBx/EkCFDcPjwYY/OVwghhBBCCCGEcEciqhAi6ImJibHq7L1790Z0dDSKFy+eo/mwEry/QeEzLcEyO4SEhKBChQpezx1atmxZjxc2a9iwIWrVqoWvv/7ao/MVQgghhBBCCCHckYgqRCoiIiKQlJRkE58L33PixAkMHjzYBMMyZcrgySeftP/H4dixY+ZIrFSpkv1n7dq1sxB1wkdHND377LNNKHQ+++WXX9CoUSOEhoZaqPkbb7yRYrl8j67Va665BpGRkckuyunTp6NLly4oWrQoqlSpgrvvvhuxsbEZbsNHH32EFi1aICwsDPXq1cNXX32V4nOuF7/Tp08fm2/NmjXx888/J39eo0YNe+Q8+F2mOUgrnJ/v33XXXZayoFSpUihfvjw+++wzW7/rr7/e9gXTGowbNy7dcH7Og69TT3TDEobPN2nSxPY1t/+OO+4wodqZF5dDZ6jzu2eeeSbNcP4tW7bgggsuQLFixWz/Dho0CLt3707+nL9r3ry57Sv+lv//ZZddhqNHj6bYd/3798f333+f4f4XQgghhBBCCCFyg0RUIfIpFCETTxz3yeQugGaFESNGoHDhwpg7d66Fr1PEGzp0aPLnFFhnzZplQtqSJUtwySWX4Nxzz8XatWstVH316tXJoinD1vne/PnzTbSjKLd06VIT7CjOpg6Nf/3119GsWTMsXLjQPl+/fr3N+6KLLrJl/fDDDyaqch3S49dff8V9992HO++8037D1AIUGidPnpzie5w/57t48WJceeWVtm4rV660z7jtZOLEibYNI0eOzHB/UWzmbyio3n777bZPuN0LFixAr169cPXVVyMuLi7N33PeXIYzXXjhhSb8UpAlBQsWxLvvvovly5fbsv7++288/PDD9hmXQaGUoqjzewrcqTl16pQJqAcOHMDUqVPx119/YcOGDbj00ktTfI/7m/lsR48ebRO/+/LLL6f4Tps2bWxbKaYLIYQQQgghhBDeoLBX5iqE8HuOnzyBd8alnUuTIicFKTo0vRHifU+f6xBSuEiWv0+341tvvWXrQjGPoidf33zzzeZmHDZsmD0yVJ9QtBs/fry9z3yZ5cqVs/dLly5tYeuEQmyPHj1MuCR169bFihUr8Nprr5m704Hu1QceeCD59U033WQCp1Ocqk6dOiYoduvWzZykdJqmhkLstddea7+luFi/fn3Mnj3b3j/rrLOSv0ehk98hdMBSWHzvvffw4YcfWig8iYqKSt6G9KDo+8QTT9jzxx57zERHiqrcX+Spp56ydaWg2759+zN+z/3kwP1MkXTOnDnmkCXuhbnoEH3hhRdw22232XoyNQAdo/yvMlrPSZMm2f+4ceNG+3/Jl19+ac5g5k6lMOqIrRS2HTcxxV/+9sUXX0yeF/93plrYtWsXqlWrluG+EUIIIYQQQgghcoKcqEKkIiEhwcQsTnwufA+FPncxt0OHDuYyPXnypAlxfKQIyrBwZ6JjkS7G9KDDs1OnTine42tnvg6tW7dO8R26RCnquS+LuVYp9lEQTG9ZdGimXpbjMnXfrtSvU38nKzRt2jT5eaFChUx4Zfi9g+MoZZ7YjGDI/6OPPmpuW+5fB7phKUAzfQLFTQqb+/fvT9fZmhbcLoqnjoDq5Ddlflf3baZI657DtmLFimestyPuZmf5QgghhBBCCCFEdpATVYhUUEBzclHmtuq5P1OkUGFzhKYFBcEjR46Ya5Kh295YtqdgLk4KhQzP56M7FDhzS+q8uFwew/GZBzU1VatWhT9QpEhKly8FaPf3HEGa/3N60JXLdAJ0sTL834F5UZmDlCkC6Aala5XpDG688UZzg3q6cFRa25J6vZkSgDhuXSGEEEIIIYQQwtNIRBUin0IxKr2QeopU/IyTN0TU7MJQcncYCs8weoqmLLRE4ZvuRBZ7yioNGjTAjBkzUrzH13RcphZj3WnZsqUJjCzOlJ1lzZw5EwMHDkyxLDovU28Xi1i5v+b2EYbJE3eXrLfYt28fzjvvPMvPylyu7lCs5vHBIlzOsfHjjz+m+A7XNbP15D7ZunWrTY4blfuVxa1S75fMWLZsGSpXrmwpC4QQQgghhBBCCG8gEVUI4fcw3+n9999vDlAWRmKeUIp4hKInc5RSfOR7FB337t1reTMZ1t6vX78058k8p8y7ydyjLGbEwlTvv/++5fXMiEceecTSC7CQFPOX0qlK8Y/5S/n7tHjooYesiBVzodLFOWbMGCvexLB4d3766SdLH9C5c2d88803Vizp888/t8+Y15Vh68z1SsGQuVeZe9QbUDylo5TFtphn1IFOT4rHx48ft/+AQivF4I8//jjF7xmCT8cu/wPmZ+W8UjtUe/bsaSkG+N+xENWJEydwxx13WG7Z1CkUMoNOWHe3rBBCCCGEEEII4Wl8bzETQohMoEAaHx+Ptm3bWoX7e+65B7fcckvy5ywgxe9QGGXhqQEDBlhxoozC6+kopYPy+++/R+PGja3Y0nPPPZeiqFRaUJhlvtU1a9aY85WiLX/rFLVKC64PCzRRZKVw+Mknn9g6d+/ePcX3nn32WVsfLoNFlr777rtkV2bhwoWtgBV/y2Wxsr23+Oeff8zdySJNzEHqTHSNUhRlUa5XXnnF9hvF3pdeeinF75n/lYWmKE5TeH311VfTdEKPGjUKpUqVQteuXU1UrVmzpuVfzQ7MW8z5OEWzhBBCCCGEEEIIb1AgiWW4RZZgjkg6vw4fPmy5InMCHVxjx45F3759z8j1J+AX+zQ2NjY5lybddKlzYgYqFJtY+KhGjRppVpDPy5yo+ZHM9ilFxV9//dUEV5H1fUpxmu5cOoFzcux74rouhBBCCCGEECL4kToihBAiYOHACR26QgghhBBCCCGEN1FOVCGEEAEL0zjIQSqEEEIIIYQQwttIRBUiFSyAwzB+57kQeYEyqwghhBBCCCGEEP6LRFQh0shNGSx5UIUQQgghhBBCCCFE7lFOVCGEEEIIIYQQQgghhMgAiahCpOLYsWO47rrrbOJzIYQQQgghhBBCCJG/kYgqRCpOnDiBESNG2MTnQgghhBBCCCGEECJ/IxFVCCGEEEIIIYQQQgghMkAiqhBCCCGEEEIIIYQQQmSARFQhRMCzatUqtG/fHmFhYWjevLmvVydXDB8+HCVLlsz1fAoUKIDffvsN3oR5gwcMGODReX788cc477zzPDpPIYQQQgghhBAit0hEFUIEPE8//TQiIiKwevVqTJo0yWNCpLepXr063n777RTvXXrppVizZk2u571z50706dMHnmDTpk0myi5atCjF+++8847ta09yww03YMGCBZg2bZpH5yuEEEIIIYQQQuQGiahCiIBn/fr16Ny5M6pVq4aoqCiPzffkyZM4deoU8pKiRYuiXLlyuZ5PhQoVEBoaCm9SokQJj4vVISEhuOKKK/Duu+96dL5CCCGEEEIIIURuyJci6gcffGAOMIb+tmvXDnPnzvX1Kgkh0mH8+PEmkFKso0Dav39/E00d6JCcP38+nnvuOXvevXt3XH/99Th8+LC95vTMM8/Yd48dO4YHH3wQlSpVMucqz/8pU6Ykz8txsP7+++9o2LChiZBbtmxJc72mTp2Ktm3b2ncqVqyIRx99FCdOnEj+nOsxePBgmyg2Uhh98cUXkZSUlPz55s2bcd999yWvp/s6OHDdmaLgiy++QNWqVVGsWDHccccdJvC++uqrJpY6804vnJ/zcJbhPjku0sz2cY0aNeyxRYsWyfs4rXB+7t+7777b1ofXV85z3rx5yZ9zX/P3dAu3bt0a4eHh6NixozmI3WE4P/+D+Pj4LB0jQgghhBBCCCGEt8l3IuoPP/yA+++/38J/GTLarFkz9O7dG3v27PH1qgk/gcIOjwdOfB60UMxLjM1gisvk81xMp4XErBAbG2vn7L///mviW8GCBTFw4MBkhyjD1hs1aoQHHnjAnlN8Y4h8ZGSkveZE4ZRQ0Jw1axa+//57LFmyBJdccgnOPfdcrF27Nnl5cXFxeOWVVzB06FAsX748TVfo9u3b0bdvX7Rp0waLFy/GRx99hM8//xwvvPBCiu+NGDEChQsXtoGat956Cx9++KHNl4wcORKVK1c28ddZz/SgoDlu3DgTO7/77jtbVr9+/bBt2zYTc7m+TzzxBObMmZPm77n9zjI4vf7663ZsU8jMyj52BpomTpxov+e6p8XDDz+MX375xbab19fatWvb9fXAgQMpvve///0Pb7zxhi2P+4ch/O5wvShIp7c9QgQjTtoM9xQZzgBIXuM++OQv+8ITvPbaa6hZsyYKFSoUUPmzuR+4P3jNFEKI/I7ay/9Qe+m59pMmEccoIkRGFEY+480338TNN99sTjWniMmYMWPM5UUnmTt0VXFyOHLkiD0eP37cppzg/C6nvxd5s08dJ6C7szDQ4f6hC5LCmIljibEo+EKldEdXvJlR9NQT24GQiCx9l2KeOxQhy5cvj2XLlqFx48YmclKIo7PUETyLFy9uDaa7AMqbjGHDhtljdHS0vUfhkMIkz386OblfuJ/ef/99G2BJXt9UIf10s1epUsVCzrmcunXrmrDKawjFTIqQhN+hWMjvUFCkY5Z5RHkN4jHGGxM6S531TP5v3Jbp/Gfcbm5X/fr1rYGne3P06NG2rDp16piQ+vfff5uw677enCiYOgMCs2fPtnXkvqDblp9nto+dFAmlSpVKsa5cN2f9KMRSTOa+pHBKPvnkE/z11182Pwq5zjY9//zz6NKlS7LwSucpxWu6Vwkf6d7duHEjunbtmu6x4bh6nXVID2dd+d9yn7uja7FIfbPt3B8QHi88F8455xy7RtDFLlLCe6P33nsPv/76qw1IJSQkmEOexf6uueYaG/DxByZMmGDXm6uuuso6vGXKlMmT5TK/M/fPjBkzsHfvXkvZwus498utt95qx5cDB9p4rabL39uMHTvWBsh82fkXQgQuai+zj9pLz7WXQviSfCWiJiYmmojx2GOPJb9HAaJnz57mTkvNSy+9hGeffTbNC0tuHYoUFoRn0T7NGAqNbKhjYmLsXKDT1Fell44cOQqEnMzSd+nCHDJkiJ27dDQ6YtmqVassvJ0wtJ0DHs5AB29KKJo5rwldjfweG2N3+Du6Vvld/o45OZnuw/23qVm6dClatWqFo0ePJr/XtGlT27crV6408ZQCfMuWLVN8h+H/FGAPHjxoN5vcFi7TfVmp153rx+10f6906dImnHJ5DhQ66Ux1nxfD4d1fb9261QRTOnLpwHU+y2wfO8uhUOo+PwqQ3E6+R8GVr7kf3L/DFAB0/fI9CqVOegDnO9z3zjpwvzlQSOW6ZPQ/OLjv47Tg8c598c8//5wxMOKskxDu0CHO45TnIwce2FmcPn26HeeO2J8XcMAj9QCvP7Fu3TobNGFqEl5b2AnkwBCvNRTpmBrkyy+/xNVXX52t+TK/Nc/ZIkWKeGxdOcjEez46+XmdzwueeuopGzSim4fCKB95TPFaywE2uvbdU6dQRGVnNa9EVLZHElGFELlB7WXWUHvp2fbSG1DjESIr5CsRdd++fSaipB7F4GuKBamh2EqnmgM78+zk9+rVK7njn10oMlDs4yidJy92+RlP71OKVg899FByKIO3i/PkFWyI2FCzwbabmqTiLkdoGlCwO3o0BsWLF/NKaExkkXDGv2Tpu1deeaUJeZ999pk5SCnwUaijKOychxQk+T85r7l9XG/385S/4/eYozO1G5H7hN/l7zjqSRdkRnDZPNbc5895ELpF+X7q7ziuSdv+yEhbB96gcJnu80m97twu920jvKHherq/x2W57xPi/h0KoLwx69ChA15++eUU/2tm+9jZNrp901tm6u1Pa185g08UgZ3vpDdvCs283mZ0rXUdp0eTnccZHfvcF3S1pr6hz4pIK/Ifffr0SU53cdNNN5mwRbc304UMGjQoz9aD5w8nf4QDEuwI7t6929KKdOrUKcXnTJvEDgnvu7ILz2dPd76ZoofXAU91CHn9ca4t6aWPYoeQx8tXX311xnKZ4oWTEEIEMmovM0ftZWC0l3klGIvAJ9/lRM0OjnDhPhEKArmZPDEPTd7bp2yMmOaBE5/7ets8OXF7KNzZRBEvrHiaU4HQYkBIuD2m951cTacFxMwmCmkMW3/yySdNJGfuUxaMIu7fI+7bxpsJ3oi4f4fOUb7HwRSG37tPFA7d55XZejEMnqPt7sukm51iHsVIZz4MlXQ+53cp4NJByv+C77GxpmCZev7u6+CIg+6fO4WhMtoHqefBEW8u6+uvv04WcLO6j52bM94Epbce3C5uD/eD8zn3N3MQcZ4Z7d/U7zGMnzdb/M8y+h+cfZN6X6T33YyuH0JkhJN+IrULggOwF198sQ0M8DxhR5IdR3foqGY6iyZNmiQP2LDTyXzKmZE6xxvdGWkViUudk42DgeyUMY0I72U4IMHQPPcURc73WNyubNmydv06//zzzdGeFX766SdzGvHakbpD6MBBZ25rdvdFWjneuO38DVOnsKAdn3O9Ob/MOp6cF1OYcDApdWE9dm7ZeatVq5btK0YiPP7442fsK75Pp9Cff/5p/zM7g0xZkpGrhmJCek4eDta5/2ecP/Nws4PtrGPq3GxcJw7uc7s58MROOUMeU8Mc2jxm+R3+rwyF5Lzd9yVdqM6+cS9uSJg3m0X/GOHA7eS1+Oeff85wHwshBFF7eSZqLz3bXrovg+Izc7bymGL/LL26DVlpP5UTVWQV/xyu8RI8OSkecBTIHb5mmLMQwr9gDk524j799FNUrFgRW7ZsyVKoDhtWhqCzSBJzm9IBSbGUjkuKiQwLYZg5G09+h67L7OQhuuOOO6x41V133WWh8RQheQPGxtkRBQnXl+8xjw/FRDo96W52X0+GmF922WV2M+KtnEO88WBRKN5ocL844fm8KcnKPmYeVN4AMX8si2E5OUvd4Q3J7bffbi5u3iBTTH711VctXP7GG2/Mdk4khvHwJk0If4CdFMLzxYGiFDtDzPvGc4bnwI8//mgdFhZYc3INb9iwAb/99psVsmPII+852Jno1q0bVqxYkZyjOSvwWsIURO7wvPzmm29S5Ctm547hlLfccgsaNGhgKUjo4lizZo2tiwNdQxxYueKKK0w0YwhfVq+Ff/zxhz0yZ1pWye2+YOeP4ZDt2rUzoY/XNV7Pea3g9Sc96GzhNY4DW05xP26vsw8YJsjOPQsUMvUL0zkxNQvz1rnDa/3ll19u/wNzW9erVy/N5XE/c+K8Hbd9ZjhtCr/P4nskdeQUP+cxyPaGxyR/wzaILh73bb322mttP9ENxmsw81V37twZCxcutHaH679jxw6L4uH3U8Pc3TyG2GYyHQqLMfI/Yx5uf8nZJ4TwT9RenonaS8+2lw7MK3vppZfitttus3aP4i/3F/9nGkOy234KkWWS8hlt27ZNGjx4cPLrkydPJlWqVCnppZdeyvS3hw8fZjyuPeaUxMTEpN9++80ehWfw9D6NiYmx/5kTnwcL8fHxSStWrLDHzOB5cfDgQXv0NX/99VdSgwYNkkJDQ5OaNm2aNGXKFPtvfv311+TvNGvWLOnpp59O8bvbbrstKSoqyr7rfMZj5KmnnkqqXr16UpEiRZIqVqyYNHDgwKQlS5bY58OGDUsqUaJEltaL69GmTZukkJCQpAoVKiQ98sgjScePH0/+vFu3bkl33HGHrUdkZGRSqVKlku6///6kEydOJH9n1qxZtk3cNudynHoduO7cPneuvfbapAsuuCDFe1zePffck/zafR/xM+eYdp+4rKzu488++yypSpUqSQULFrT5pbUePLbuuuuupDJlyti8OnXqlDR37tzkzydPnmzz5bHlsHDhQntv48aNye/16tUrS9fkrB6nGR37nriui+CB5wSPh4kTJybt3bs3aevWrUk///xzUtmyZe2Y5muHHj16JDVp0iQpISEh+b1Tp04ldezYMalOnTrJ7/Hz1Mcoj3fO77nnnkvxnvt56Zz/Gd2qrV271q4X55xzTvK15auvvrLzdNq0aSm++/HHH9u8ZsyYYa8XLVpkr3mdcueKK65Icd1MjxYtWiSVLFnyjPfZbnLfOZP7uZWbfcHrDd9z/56zHq1atcpwXZ3fR0REpHjP2Qc33XRTivcffPBBe//vv/9Ofq9atWr23vjx4zNd1qhRo+y7b7/9dor3eXy47xtO7u1Go0aNkq+vaR2XPXv2tHk43HfffUmFChVKOnTokL0+evSo/Sc333xzit/v2rXLjhP39++88850j624uLgUr9l2Nm7cOOnss8/OdNuFEPkDtZdqL33ZXjrL+OWXX5Lf4/5j347bmd32k7D9TasNFiI1+U5E/f777+3iM3z4cOtU33LLLXZR4w1mZkhE9U8koga3iBqopBY1tU+zxrJly5LKlSuX4qYmPSSiCk/j3Gynnjjw8ueffyZ/b//+/UkFChRIev7558+4yX/22WftN9u2bTtj/uy47du3z77HAYsBAwbkuFPI9onCFteN83Q4//zzTYxLvV5r1qyxeb3wwgv2vSFDhtjrVatWpZgvBz6y0imsVatWUuXKlc94n9c9933Xr1+/NH+f3X3hdAr37NmTYj533323DVLlpFPo7ANeH9zZuXOnvf/AAw+k6LDVqFEjKSuwY87fDx06NMX7vF6lPrbmzZuXZRH1xx9/TPH+yJEj7f3FixeneM3ObOr/n4NTtWvXzpKI6s6BAwfs97fffnuaIoAQIn+i9lLtpS/bSy4jOjo6hTBKaGrhd7le2Wk/iURUkVXyVTg/oeWbIbzMvbFr1y7LoUHLd+qQKSGEEHnPzp07rTppZsW9hPAmzBfJFCDMD/zFF19Y2g33IoOsssuBaOY345ReYQaGLjJckOHRrLzOfL/u+ciYSiOnMDyOOedmzpyZYj4Mb2NoHfN+pbdehBWCmX4kddqM9ELuUsOccPv3708z3QnzlKUVupjbfcFUIqm3i+F5zO2cE5x9wFx47jDFU8mSJe1zdxhSmdV9Q5zUKQ4MVWQIPWF6Fff0LlmBaVLcccJlne3nf0/OPvvsNH+f1aKoDNt/4YUXsGjRohS57rxRaFIIEdiovcwctZfeaS+5LqnbJR6LhCH77ukaM2s/hcgO+U5EJcx/wUkIIYR/kTp/lRC+oG3btsnVhpmzjfkkmQeNOb54Y8/ODWGRBuYcSwunozFkyBDrON5www1WkIE5g9kRuffee5Pnk13Ysfruu+8sPxsHg93hPFmI4s0330zztyya4Qnq169vIhsLV7Dz6+AU7COpKwbndl8wr703yKo4mF5l4bT2DWEhEXdYOdq5xmW1IElWtt+VwcX13zs57dLK9Z+VytXMSc0cgV27drXOO3NlswAfc819++232V5nIURwo/Yyc9Re5n17md32U4jskC9FVBH8nDx1EkfjYxGfmIBjJxKRcDwRx08cx6mkJJxKOoWkpFOu56dOP/L1qVP23SNHjyTP59vpv6NAkYJIPHEChQoWROFChVGkUGGEFglBWJFQFA0JQ3hIGMJCXM/5Hr9XAKcbGFY1PD0vNnwRoUVRPCzC5iOCmylTpvh6FYQQHoA33iyccNZZZ+H999+3ohgsfEYoLmUm/LOqOX/LqrPuHDp0KEfF5ChysTPKjhQL/6SGThlW7+3Ro0eGnZ1q1apZu0d3jrubhh3frED3DAsOsUgHKxlnBU/vi9zi7AO6kVhQxIEFPLhO/DwncH/WqVPHioKweAWLqGSF3Do9HZcUi6ZkdlymtywWeWFnnlWV3d1kFFGFECIj1F6mjdpLz7eX7i5n9/+ORaoIiygK4S3+KyMtRABx4uQJHIw9jC37dmDl9nVYe2ArJiydjh9mjcGnk77HW2OH4bO/f8DX00fhp9nj8Mf8SRi/+B9MWDINE5fOwKRlszB5+WxMXTkX01bNw4zV8zFr7UIs2Lgca/ZsxqOfDbHpQMIRHIw9gthjcTgSH4MDMYew+/A+W+6anRuxePNK+x3nNXbhFIyc+6ct78fZY13TrDG2Tpy+m/EHhv79o63bhxO+wbcz/sDEpTOxZMsq7Dq0F8dPnvD1bhVCCJEG3bt3N7cNb/ATEhJMpOJ7rJTLFBSpYdog905laqfDTz/9ZI6U7MJlDRo0yJw+6YWC83PO+7PPPjvjs/j4eMTGxtrzPn362OO7776b4jvcxqzA5TRs2NAcMrNnz07zO6m325P7whP07ds3zW12XEm5qUT/zDPPYN++fRZGevz48Sy5X9h5ZGc0p9DlxZB9OpjSWqb7cel0VFMvj/8RO6TuoaMMi3SvUi2EEOmh9jLt5ai99Gx7SXbs2IFff/01+fWRI0csJRgdx2lFYwjhKWSHE34rkh6Oj8HBmMM4FHcEh+OOmrP0aEKsiZlxx+KTv2ujYvs34eTWIub2dChcqBDCQ4qaazS0SChCChW2z9k5KFSgEAoWLICCBQqiIN2i9lgQoUWKIKRwEft+KB8LhyCkSAhCChUxdyuFTq4bHat0ucYnHrMp4bjrecLxY/Y9YoXbTq8Ln3M9Y47F4sTJkybKctp+YFfy+nLdSkeUQNnI0igXGYVyJaJQIry4x52rClsQ+Q0d88ITPPTQQ7jkkkswfPhw3HbbbZYHjp0zhgLyxp9uGzoyZs2aZaFndLc4DpTnnnsO119/PTp27IilS5eaG8Vx52SHu+++2zqcdLLQ1eJO06ZNbbr66qvx448/2jpOnjwZnTp1MkFs1apV9j4dhgy9ZCfj8ssvt5Bt5rLjuk2aNMmcHVmBriJ2XijccT9ceOGF6NKli4lz7OT9/vvv2LJlS4qOlSf3hSdo1qwZrr32Wnz66acmJnbr1g1z587FiBEjLCyVLqCcwnBWhifSlcV5XnbZZZYjjp1yvs/wUuaCc/KykVatWuGjjz6yfKQMb6X4kF5+07SggMrf8xho2bKlLZM58fg/jBkzxo4FusOcZTnHFP9Ddtj5ff5f7BSfe+65tg3MCchjneuzZMmSHO8PIUT+Qe1lStReer69JEyFcOONN2LevHlW34Y5eXlcKXJCeBuJqMIvBI59Rw9ix8E92HVoD3Yd3mevM8v3QpG0eNFiCC8ShoTdR9ChTguUiSyFyPDiKBleHBGh4X5XBIHbGn/8GI7EHTVX654jB7DnyH7sObzfRFluN6eV29en+B23JbJohG0vxdVKpcqjUunyKFQw6/lu2ICTuLi4LOepESIY4DHvfg4IkRPY6WHo3+uvv26dQLpK/v33Xzz77LPWUWTRCIpeLVq0sOKVDo8//rh1BJhP8ocffjBxi4IWwxyzCzuE7ODdf//9Z3z29NNPW6eQA3J0Db711lvmyGDHLTw83Dpe99xzT3L+NcIOB0U2dsz4Gwp2XLes5oHjvJjnje4cLmfcuHFITEy0zky7du1snZyiGZ7eF55i6NChtm/4H3Ib6F557LHHbN1zCx2h7DRTuOS+ptOG7S/32wMPPGAdd3e3DI8bFud49dVXcfToUeukZkdEdTqj0dHRePnll819xcJQzMHHDjs74+7H81133WXiAnMF8v6EHVcuj+Gj/D1DYNmRfeWVV8yNKhFVCJEV1F6eidpLz7aXhGkA3nvvPRPtmVqB7RX3VXq5d4XwFAWSZNHJMrSIs2I0R6CyWuE0NbSojx071izx+bVD7xJND2Dr/p3Ysn8ntu3fZQJiaugILRkRiVIRJUwULRYWgciixVD8tJhYtEioiaSe3qds0P73v//Z8xdffBEhISHIi30SkxBngure08IqH4/Gx6Qb5s88rPUq1kCL6o3MvZrV0BaOHvLGhTcJ6YnM5pqNibGE8O7uXq+QdAqge5eiedKJVI8n0/jsJHfYmfMpUNA1FeQ28Xkhy0kLrn8B5zU/L+T2/PT7zne8SJ7u03xCZvuU5xUFVDqpWDmUBVK8cV0XQgghhBBC5A3Medq4cWOMHj3a16si8iFyogqvQyGDgiBFU5sO7ERC4rEU32GxpoqlyqFiybKocHpiGLsvnKQUZTly6uRoyQsRldvpEocjUKt81TOcqxRTmcbgUOwR7Dy013KyUnhevHmVTTXKVUbrmk1QrUylDPeZM4JHUSkjbLnx8TYCmKP/IFkYpfBJ0dMRRPnoCKH8Dt3GOau26XkK/CfE2pTqNcXXgkWAgoVPC7HZ2y+53qcix/uUAqpyIwkhhBBCCCGEyA0SUYVXYP7SDXu2YuOerSacMldoapdpdKnyqBJV0aYKJctkKzQ9v0BhKDwkzKbyJcqkcOBtPbALizatwNpdm7BxzzabKD4zrQGF2LREJb5HNx6dqGkl7nbgZ//88w+6du2asbuXjtDDO4BdS4F9a4C9a4B964DYvdndUCA0EggtDoSVAMIiT08lXO+HFQdCSwBF+br4f65R20ZOScCJY8DxeCAxzvV4PPa/18digMSY/x45JZx+PO4K9c4WFFIjo4EytYFy9YGy9YFyDYCI0rnfpyLLZGWf8n3m+hNCCCGEEEIIIXKDRFThMeiUXLFtHVbv3GA5PlOLppVLV0DlqAqoEhWN8iWiJJrmAoYuVysTbRPdqfM3LsPSLaux69Be/DpvggmuHeq2QO3y1dIUUykqZSQs8bMTJ04gLCzsTHEq7gCw+k9gw1RgwzTg8Na0Z0Lxs1Q1oEQ0EF4GiHCfooBwZyrlEkh9FeLOdAnHjgAJR/57TDh8ejr9Ov4gcHATsH8DcGAjcCIBOLIR2DYj5bworFZqCVRrD1RtB1RsBhQJy3yfihyhfSqEEEIIIYQQIq+QiCpyBSvVr9650QS8bQd2JVfBNsdjybKoUa4KapStbKKe8kB6B+aN7dG4I9rXaYF/1y/Bos0rsfvwPvw27y8rQtW+dgvUqVAtd/v/8HZg5WhgxWhg03RXiL67KzO6GRDdHKjQBKjYGIiqDRQtle2Qd59QqDAQXto1ZQWmIDiyA9i/Dti5FNixCNi5GNi31vU+J+4rm3eIa79Ua48C0a0QQnesEEIIIYQQQogcwWKHQvgKiagiR8Qei8fizSuxaNNKxB77LxyaofkNK9dGrfLVEBGqCvB5Cfd3t4bt0KZ2M8zfsBQLNi43R/Dv8yeiVLESaFurKRpWqo3CFA2zQMjxIyg451Ng2c/AtvkpP6zQGKjbC6jRxeW4DC2GfAPF6JKVXVOt7v+9z1QBFFW3zgW2zHFNTGvA11vn2sX2XKYe2PUxUPss12+rdQBCwn25NUIIIYQQQgghhMgCElFFtnOdzlm3GEu3rsKJky43YrGwcDSr1gCNKtdBifDivl7FfA/zp3ap3watajYxIXXhpuU4GHMYfy6ehllrFqJrg7aoH10z7UI8zCu6+k8UWvANeq+ZgIKLTjtO+d0qbYGG5wMN+gFRNfN8u/weCsnVO7gmQlc2Q/+3zAa2zEXSppkosHcVsGuJa5r+jsupWrML0GgA0KC/K82BEEIIIYQQQggh/A6JqCLL4unsdYssbP/k6VBuhuu3qtkYdSvWUH5TPxVTO9drZQ7UJVtWYd76JZa3dvSCv7Fs6xr0bd4NEWGnXZD71wNzPwcWfGP5P53A/1MVm6FgyyuBxgOA4qpuni0oPFNs5tTiChw7loAxvwxHx4onELZtNiK2zUFI7G5g7SSbkkbdi5M1uqBQ2xtRgEJ1Fh3DQgghhBBCCCGE8D7qpYsMSTxx3MQ3TsdZgAdA5aiK6Fi3JapGVUzbzRjgFC1aFMuWLUt+HuiwqFfrmk3MLcz/ce66xdi0dxtGTB2JS8uGImrpty4hzyEyGiebXIyphyuiy0W3oKAK9mQKcwHzXEk4fsym+MQEHIw9YkW/DsYexoHYwzh49BBW71iHdRF1ULBkN6BEV5RO2IM6B5ai3oElKB+3HYU3TAE2TEFMSEmsr9oD2+v0Q0hkNEIKF0aRwkUQUqiIpWOw14WKICwkFKWLlTTBXAghhBBCCCGEEN5DIqpIVxRasX0d/lk5FzEJrpynlUqXR6d6rYNWPHVgAaZGjRoh2ChSqLCJ33UrVMfCP99E42W/Iip2q+tD/p91egLtbgbqnINTJ0/h6Nixvl5lvzwvth/cjW37d2HX4b2IiY+1/MBxifHJ6S3S41RSkjm2y0aWRvGixVCkcGEUQE3sqtoSG47Fo9ChLaizfRqa7JmNYomH0GzdL2iwYTT+rdgV8yp0R2Lh9IXSoiFhiCpeCpVKlUPVMtGoVLqC/d9CCBFIfPDBB3jttdewa9cuNGvWDO+99x7atm1rn61evRo33HADNm/ejNtuuw1PPPGEr1dXCCGE8DhqC4Xwb9TLzmMKLP4B1fb+iwLz9wGF3ELgCxQECocAhUOBQqGu584jxRN7//Tn7s/56GFBkyHfzJ9JtyJhnlPm0axXsUZQi6f5gq1zUWb0Qzhn+0J7ebxgESwt3xGV+z6FcjXa/Pe9k6d8t45+ms6CuWWXb1ubPKiQFhRJi4aEIqxIKEpGRKJkeKQ9lo4ogeKhEfgnaQr6de6HIum4e0+dugexsYdwcOlIFJ33GcL2rkTH7X+h9d452NBgENbX6IPE067XEydP2LrwfKXzddv+nTYxZzHXo2KpcqhWJhrVylSy1BscHBBCCH/lhx9+wP3334+PP/4Y7dq1w9tvv43evXtbh7FcuXIYPHgwrrrqKutIsuN49tlno2PHjr5ebSGEEMJjqC0Uwv+RiJrHFJrwJJrH7Qc2eXKmjtB6WnhlgZvwKFeRmvAyQKlqQFQNoHQNoEwdICQiXZfdki2rMXXlHBw7nojChQqZc7FVjcZZrugeDCQmJmLIkCH2/PHHH0dISAgCnvhDwF/PAvO+cBU8KhKOU21vxJ8RTbHy8BEUW7cGV1VoiOJF0z428itxiQmYtWYBFm1eiVOnXMIyBdJqZV3CJAXSiNBwC6cPDy1q7s/0BhqOHz+e6SAEhc7ixUsDHW8COtwIrPgdmPg8QvauQf3FQ1F/77/AwA+Aik2Sf0NBlSkD9h45gK37d2LLvh0mrDqi6ozV8xFaJARVoiqialQ0KkdVQNnipSWqCiH8ijfffBM333wzrr/+envNDuSYMWPwxRdf4NFHH8XBgwfRqlUrNG3aFNHR0Th06JCvV1kIIYTwKGoLhfB/8o8y5ick1e6BXVvWoXz58ilFDBZrYmX0k4lujwnACef1MddzPp48nnKm/C6nY1lYATpey9YDopsDlVsCNboC5erj2InjGLdoKtbu2pQcut+7WVdEFSuJ/AbFrmeffdaeP/TQQ4Evoq74A/j9PiBmj+t1y6uA3s+hYEQZnHM8EXtn/I59Rw/i9/kTcXnH8ySuAebyXLBxubk6mePUyQXcqkYj1CxXJW8GFSi4NroAqN8PWPA18OdTwI5FwEfdgK73Ad0fNjc6c96WL1HGpsZV6tpgCPOxbtm/A5v3brfHhMRjWLdrs02EomqlUuVNUK0SFW2CsFzmQghfDl7Onz8fjz32WPJ7bIt69uyJWbNm2evnnnvOXsfHx6N///7mzBFCCCGCBbWFQgQGElHzmJMDP8LcsWPRt2/fnBfsoSPORFU30dVdeD0WA9DtGrsfiNkNHNgEHNgIHNgAxO4D9qx0TYu+c80uoiy2FauJIsVqIbx0Y7Rr0g0tqzeSmBbo8JgY/wQw+xPX67J1gfPfBmp0Tv4KxbSBbXrhq2m/YcfBPZi9bpG5j/MrFCBX7diAaavm4XDcUXuvXIkodG/QztynPoGCbZvrgPp9gNEPAstHAVNeA9ZNBi7/CiiRcr0ohpYuVsKm5tUa2DbtObLf0nMwlytzutJpvmHPVpsIHcj1KtZEveiaElSFEHnOvn37cPLkSRtgdoevV61aZc9537R3714cOXIEZcuW9dGaCiGEEN5BbaEQgYFE1ECE4mbBokCRHFSOP7oLYD5MTlvm4NTmWSgYuxe1OO2eg6SNhVHgYFdg33lAg35A8Qre2ALhbSigf3slsHmm63WXe4Ee/3Pl0U0FQ9J7NO6AMQunYNbahahVvipKh5dAfmPbgV2YumKOicmkWFg4utRvg4aVavvHgELx8i7RlCLqb3cB2/4FPuwCDBoG1OqW7s8oiDpO1Xa1OQZzCnuPHjBBldu8ed92y/n674alNrHwVdtaTU1QZW5VIYTwF0JDQ9VpFEIIka9RWyiEb5GImt+gKEpHW/0+WLZ1Df5a+DcqHN2EJonb0fDwShTctwZY97dr+uN+oFonoMXlrrDisEhfr73ICgc3A8MvAPZvAEIjgUFDgXrnZviTBpVqY+2uzVizcyMmLJmOS9v1RX6BjtOpK+di9Y4N9prh8W1qNUXrmk3sud/Bc7FiU+C7q4GdS1z/de/ngU6Ds1RkjoKwI6q2qtnYUhds3LvNtp/h/sytSkF9+ur5tg+aVasvMVUI4VXKlCmDQoUKYffu3Sne5+sKFTSYK4QQIvhRWyhEYOAH9irhC5jvkTlQTxQohFKN+qLBtcNR8N5/gXvnA72eBSq3chUg2jQd+PVO4JU6wI83Aptnu94X/sm+tcBn57oE1JJVgVv+ylRAddyKPRt3tPD+XYf2Ytm2NQh2WJBp+qp/8cWUn0xA5D5oWrUebjzrEktp4JcCqgOLxPG/bXEFkHQKGP8/V87UHJybzO9ap0J19G95Nm7teTk6129tRbIoLk9aNhNfTP4ZK7evt7QAQgjhDZh7nIUyJk2alPweXfN83aFDB5+umxBCCJEXqC0UIjCQEzUfsnTLahNHCJ1m3Ru2+y8HYpk6rqI1nA5tBRb/BCz6Fti7Bljyk2uq2AxofyvQ9GKgSJhvN0b8B3Pfft4fOLrTlf/0+t+ByOgs/zwiLNzEw8nLZ2P66n9R8WQxBCs7D+7BmIWTrQATYeX6sxt1sPynAQPTeVz4EVC+oSv37fR3gPiDwAXvADl0jhYNCUOHOi3sukCn+qw1C3Eo7ghGL/jbQv27NmiLamWyfkwJIURWuf/++3HttdeidevWaNu2Ld5++23ExsYmVygWQgghgh21hUL4PxJR8xkM1/5zybS0BdTUlKwCdLvfJahunw/MHeYSUXcuBn69A5j0AtD9IaDl1UDhAK9gH+gw1+2w810CarkGwA2jgWLZz5XTonpDLNmyGnsP78f6g4cQjFAc5DnAkV0WVKJ4SidmQBZT4jp3vhsoWsqVJ3X+l0DCYeCSz3N1ThYpVNiOhUaV65h4Om/9EnMo/zhrDGqWq4KuDdqgbGQACc5CCL/n0ksvtWIZTz31FHbt2oXmzZtj/PjxZxTYEEIIIYIVtYVC+D8SUfMRFEHGLpxiYbkMW85QQHWH36nc2jWd+xww/ytg1ifAke3A7/cB/7wN9HgMaHaZq+hVgBMWFoa5c+cmP/d7EuOAry4FDm4CSlUHrvstRwIqYe7LrvXb4Jc547Hx0A7EJMShVJHgKTJFQZBOW1K3Yg30atrZ3JcBT6urgbASwI83uApPERacKpS7SzxTGtCd3KxaA3OlLt6yEhv2bLUcqo0r10WX+q3NwSyEEJ5g8ODBNgkhhBD5FbWFQvg3ga94iSwRmxCHX+dNwPGTJ1CjXGWc06Rzzpx34VGuSu/3LQT6vQoUKw8c2gz8chsw9Fxg9woEOkzo3aZNG5v43K85dcq173csBMJLuwTUyIq5mmWt8lURXaocTiadwpx1ixBMDlRHQGXhqPNb9QgOAdWh0fnAVT8AhUJcQupvgz2WvzgitCh6NumI67tdbOIzB2KWbl2NoZN/xOy1i6w4lRBCCCGEEEIIEcxIRM0HMGx5zKIp5iqMKl7KCsiwQneuYC7UDrcB9y92FaIKiQC2zAY+7ApMf88l7gnvM+1tYPlvQKEiwBXfAlE1cz1Liuud6ray50u3rcGR+BgEOtsP7MaEJdPtebvazbLuwg406vQALh3uyom68FtXyg0PUrpYCVzQuieu6HQ+KpYsa8W5pq2ah2FTfsGmvds8uiwhhBBCCCGEEMKfkIiaD5izfjE2791ueQ7pvgsrEuq5mYeEu3Km3j3PVQX+ZKKrUvjXg1xFbgKQxMREvPbaazbxud+ycTow8TnX8/5vANU7emzWLLQUVbSECfAMgQ9kEo4fwx8LJuHkqZOoU7E6utRvg6CmYX/ggnddz6e85kq/4WEqlS6PKztfgH4tuqNYWLgVn/pp9jhMWDINx4778TkjhBBCCCGEEELkEImoQc6ew/sxc80Ce96zSSeUKV7KOwsqWdkVSszK4IXDgDUTgI+6A/vWItA4fvw4Hn74YZv43C+J2+/Kf5l0Cmh+OdD6Wo8vok6pKva4ZPMqxB6LR6Dyz8q5OBofi1IRkejbvHtwOlDTypHKom+EeYu3zvP4IrgfG1augxvPGoQW1RvZe4s3r8Lwqb9gy74dHl+eEEIIIYQQQgjhSySiBjF03o1f/I+5CenAY6Vtr0Jxqs31wC1/ASWrAQc2Ap/2Arb9693l5jeY53LUfcDRXUDZusD5b7r2vYcpE14S5UuUsTy6CzcuRyCyed8OE/ZI72ZdrVBSvqHHE0DD81zu8O+uBmL2emUx3KfMlzqoQz+UCC9u6R9+nD0W89YvsdypQgghhBBCCCFEMCARNYiZv2EZdh/eh7CQUJzTuFPeOfCimwG3/Q1Et3A5Jr84H9jqqnYvPMDiH115UAsWBi7+zJWP1gvweGlTs4k9X7R5ZcAVD6KAN2WFq5AUq8szRUG+guf7hR8BZeoAR3YAI2/zWKGptKhWJhrXdbsIjavUPb3v59ggDgdzhBBCCCGEEEKIQEciapASkxCLWWsX2vOzGrZHRFh43q5AsbLAjWOAGl2BxBhg+IXAdldaAZELYvcBYx52PT/rEaBSC68urnb5aogsWgzxiQlYtWMDAomV29dZOovQIiHoXL818iVhkcDlX59OsfEXMPtjry6OrtRzm3W11CEsXrds6xqM+neiuZmFEEIIIYQQQohARiJqkDJ91XyrnM0K2l4P40+P0GLA1T8A1ToCx44AX14CHNjkm3UJFsY+5irYVaEJ0PV+ry+OQljz6g3s+YKNywMmPJuu2emr59vztrWaITwkDPmW8g2Ac593Pf/zKWDPaq8ujg7mFtUbYkDrc6yY3frdW/DjrDGIS0zw6nKFEEIIIYQQQghvIhE1CKH7btm2Nfb87MYdfVtIh6Hm1/wEVGwKxO4FvrrYJQKK7LN+CrD4B1eY9oB3gUJ5k9+zSdX6KFyokKWG2HFwDwKBFdvX4XDcUUSEhqNlDVfRo3xNu1uAOj2BE8eA3+4CTp3y+iJrla+KS9r3tXQiPG5+mDk6oAuUCSGEEEIIIYTI30hEDUJmrJlvjsH60bUQXaqcr1cHCC0OXP0TEFkJ2LsG+PnWPBFxggqGQ4955D9BrHKrPFs0XZw8lsiyrd51MXoCHvvz1i+1521qNclfxaTSg8L7Be+4BjW2zAbmfZ4ni61Uujwu73geiheNwL6jB/HT7LFypAohhBBCCCGECEgkogYZdAuu27XZ3Kcd67WE3xBZEbjqe6BwKLB6PPDPG/BXwsLCMHnyZJv43C+Y9wWwZyUQXhro8XieL95JCbF650a/z2/J8PEDMYcQViQUTavW9/Xq+A8lqwDnPO16/tdzrvy6eUCZ4qUwqH0/cwXvPXIAP88eZzl2hRBCCCGEEEKIQEIiapAxc42reFODSrUQVawk/IroZsB5b7qeT3oR2OyqnO5vFCpUCN27d7eJz31O/CHX/iI9ngCKlsrzVWBl+xLhxXHseKKJ9P7M3PVL7LFZtfpWVEq40e5moGIzIOEwMPGFPFts6WIlMKhDX4SHFrWBnl/mjLdjSQghhBBCCCGECBQkogYRDJd1XKjt63i3anuOaXU10PwyIOkU8PMtwLGjvl4j/2f6u648suUaAK2v88kq8JhqWKm2PV+xbS38lb1H9mP7gV1WEEu5UNOgYCGg3yuu5/8OB3a60h7knSO1D4qGhGHnob34dd4EKwAmhBBCCCGEEEIEAoV9vQLCc7B6Oqldvpr/uVDd6f8asGkmcHATMO5/riJJfsTx48fx6aef2vNbbrkFRYr4MKdmzB5g1keu5+c8BRTy3SnbsHIdzFq7EJv2bbcCQRGhReFvLNq8KvkcKBYW4evV8U+qdwQaDwSW/QpMeBq4dmSeLbpsZBQuad8HP8wag637d2L0gsk4v1UPE72FEMHJiRMnsHv3buzZswdHjhxBTEwMjh49mvzo/jw2Nta+f+rUKZvGjBmDuLg4XHLJJXadcKbw8HAUK1YMxYsXT350f87HMmXKoGLFiiha1P/aKiGEEPmLhIQE7Ny5E/v27Uuz/XN/j+2e0w5y+umnn2we7m0hoyUjIiIybAcjIyNRtmxZVKhQwbf9WSGCDImoQQJzDDoOQb934IWVAC76GPi8r8sN1+xSoEYn+AuJiYkYPHiwPb/uuut82+hMfQNIjHUVkqrf13frcToku0LJsth1aC827N6CJlXrwZ9IPHEcK7evs+fNqzXw9er4N8yNuuJ3YO1EYMscoGq7PFt0+RJlMKD1Ofhl7nis3bUJE5ZMR+9mXcztLIQILCh6rlu3Dhs2bMCOHTusg+hMzuu9e/dawb/SpUtbhy69Dl+pUqVQuXJlFC5cOLmTyLzkixYtQps2bewawc7kyZMnrYPJDuf27dvTFWT3799vgmyJEiVMTI2OjrZHZ+LrqlWrom7duoiKitI1SAghRI44cOAA1q5di02bNqXZDnI6ePCgCZ9s69jucTCQEwf6OLG9Cw0NTX7kd9kucWrZsqUJpvwt21NnYhvMtu7YsWMm0sbHx1v7yEd+xvaQy+V3Kaa6t4Hu7WKNGjVQp04da4uFEJkjETVIWLJllRX8KVciyvJX+j01OgOtrwf+HQb8fg9w5wxX0SmR0oU6b5jrec8nXRXWfUyt8lVNRF3vhyLqqh3rLc9mqYhIVC0T7evV8W+iagItrgLmj3DlRr3hjzxdPP+f/i3Pxqh/J2Lp1tUoGhKKbg3zTsgVQmQvOoMdwzVr1pwxbdu2zYTRmjVrolKlStYZ42Pr1q1TiJbly5dHSEhIjpY9duxY9O3bN9sDmhRc6fhJqzM7Y8YMe71582Z7zY4pxdTUEzuV7LgKIYTI31CY5KBhWm0h2xpGP7D946BcyZIlbQCvcePG6NChgw0ish0sV66cCaccLHSfKJimfu1EaVFEPXz4MJYvX462bdsm1+twBhU5WJjRRDF1165dNqBJsZeDjIwKWbFiBWbOnGki7NatW20ZbK9Tt4P16tUzkTUnbbgQwYpE1CCAo0tLt6y25y2rNwocN0XvZ4BVY4C9a4Dp7wHdH/T1GvkXMz8CTiQAlVsDtc6CP8Aw+Rmr52PT3m0m2hfxYXqB1CzbusYem1atHzjngC/p/hCw6Ftgw1Rg44w8d4PXqVAdvZp2xp+Lp1kxMOZKbVu7WZ6ugxAiJXSwLF68GPPnz0+eVq5caZ05CopOp+qKK65Ifs5OoT9ec7nOXDdOzZqlf21hh5IOIqczvGrVKvz+++9YvXq1dTSrVauGVq1apZjYWRZCCBGcUGxcsGBBiraQERccVHMGDSmKUiAdOHCgvcfX/JxOUndXqfM8N6mrKMpSRGXbk9MISQqujmPVmfjaca1yYJEDpo7g+ueff+Lzzz+39zigSTGVjlinHWzRooU5aoXIj/iPAiJyzLYDu3Aw9ohVIq8XXRMBA6vMn/si8PPNwD9vAK2uAopX8PVa+Qesnj7nM9fzbg/4hQuVlI0sjciixXAkPgZb9u0wZ6o/cCj2CLYf2O0qgFXZVQBLZEKpqkDLq4F5XwDT3/FJSg0K3gmJxzB15VybIsLC0ahynTxfDyHyI+xAuXcQHcGUnTSnk3TBBReYAMmwd8f9EmwwfJEdQ06pB6jZkVy2bFny/hk2bJg5kapUqZJCVKU7iO4jIYQQgcWhQ4cwd+5cu8Y7wunGjRut3aNwyOv91Vdfjdq1a9tzJw0NJ4qmnOge9XfYhjspBNKDYqmTBoATn3MwkULq+vXrLfrkt99+w8svv2x5zrl/Ug8y+jp644MPPsBrr71mYjDvX9577z1ro9Pis88+w5dffmntPOH6DxkyJMX3mdpvxIgRKX7Xu3dvjB8/3stbIvwZ/z/jRaYs3+rKhVqvYg2EFA6wpNHNBgGzPwG2/Qv89Txw4Qe+XiP/gGH8x44A5eoD9frAX6BIWat8NSzctBzrd2/2GxF1xelcqNXKVFJBqezQabArpcbq8cCeVa7jLY+h+zQuMQHz1i8xV2rxsAilYxDCS6Lp7NmzMWXKFJv4nO4Wp+Nz4YUX2iMdNv7oLM1ruA/oYj377LNtcu9wL1y4MLnD/dVXX5mTlWGb3bt3t6lr165yqwohhB/CHKHTpk1LbgsZfUFxlIIghVOKZg0aNLD3nLB8PtJRGuxtI12u3FZOqQcVGanC9o8TQ//pzGXEBoXVP/74A6+++qqlBqAA6bSFdOrmpaj6ww8/4P7778fHH3+Mdu3a4e233zbBk+vJ9jw1/P8vv/xydOzY0f7fV155Bb169TLXL++FHM4991wbRHWgs1jkbySiBjgsprN65wZ73qhKXQQcbIz6vQx80hNY+DXQ4TagYhPka06dBGafdqF2vocxifAnaleoaiLqhj1brVH19Q0F18ERURtUquXTdQk4ytQGGvQHVvwBzHgfGPi+T1ajW4O25m5evWOD5Um9ovP5iCqW8gZOCJF70ZR52c466yxceeWV5sCgs8bX1/BAg51L7kNODnSs/vPPP7afn376aeuASVQVQgj/FE0Zft+kSROcc845JrqxLXTEQ0cwFf/B+wTHdeuIixRIKaxSUKWwyv3MaBa2fywISdGRbWNeiqpvvvkmbr75Zlx//fX2mmLqmDFj8MUXX+DRRx894/vffPNNitdDhw7FL7/8gkmTJuGaa65JIZpWqKBoWfEfElEDHFa3ppBaqlgJVCpVHgFJlbZA4wuBZSOBv4cAV36HfM2qccDhrUB4aaDJRfA3KpWugEIFC+FofCwOxx1FyYhIn64PC10djDls+VmZZ1Nkk853u0TURd8DvZ4FIqJ8cnPWp3k3xCTEWlqGkXP+NCE1IrRonq+LEIEMi0PQEcJp8uTJJpqy4yLR1Luw6vFFF11kE2GYoyOqPvXUU1bAg/njzj//fJx33nn2XP+DEEJ4x1zB8Gy2g8xvPW/ePCuM1LRpU/Ts2dNEU+b45sAWJxZH1PU4d8IqC0kSiqQUVFloixPbvtSiapcuXZLbQorZniIxMdEiRB577LHk95iHlv/5rFmzsjQPisJMacB7J3fYltPJyiKUjEx54YUXlMInnyMRNcBZs3OjPTaIrhXYDUCPx4HlvwErxwDb5gOVW/lsVTjaNHr06OTnec7sT12Pra8DivjfSCjFygoly5jYtXX/Tp+LqM45ULN8VcsLLLJJ1XZAdAtgx0Jg4TcuUdVHx9UFrc/Bt9N/x6G4Ixj171+4tEM/E+yFEOl3FhlSzo4iO4xLlixB586drXPy1ltvWXhiQN8bBCjsbF188cU2OaIqi3Twf3r99dfN6cT/iBMdrXI9CSFE7gQ0Dlw5wunu3bvRvn17E/XuvPNOK4Io0dT7ULSkAMmJ+5z/gSOqUkB1BNUff/wRDz74IOrXr2/tIEVVOlZzU3yLy2DxLBb4coevWTAyKzzyyCMmCFN4dQ/lZ7ojCvHMC/v444+jT58+JswGa654kTkSUQOYY8cTrUo6qVuxBgKasnWBZpcCi74DJr0IXDvSZ6vC5OD9+vXzzcL3rgE2TAEKFATa3gh/pUpURRNRWdSsSdV6PhUQ1u7eHBzngC9pewPw212uIlMdB/sshQSdpxe2621CKo+vycvnoGeTjj5ZFyH8FbokJk6ciFGjRtmAH4s+8Iae7ho++pM74tSpU8nVgPnIju6JEyfOmNjxcZ7zN871nWGCZPr06dbpdSZ2XNhWpzcxr5t7ZWRfd3QoqrIwCSfuh6lTp1pH/7bbbrMccszZxo4kC3nR6SKEECJj2PaxDeS1dNy4cShatKiJprzOUryrVq2ahWBT0JNo6j+iKsVOFn2iIDlnzhwTVT/66COEhISgf//+JqiyTczrwUUWy/r+++/Ndeq+7Msuuyz5OVNA0NFcq1Yt+16PHj3ydB2F/yARNYBhTsoTJ09aKH+Z4kFw033WI8CSH4G1E4Edi4Do5sh3LPja9VjvXKBkFfgrlUu78sLQiepL9h09aKH8hQsVQo2ylX26LgEN00aM+x+wfwOwYSpQ+79cf3kNc6H2bdEdI+f+abl3o0uVRcPKdXy2PkL4AxQU6Xpg/i4WTmB13QEDBmD48OGWb5OdD1+sE0VRp5IvHymWOoKp80i4fuyU8NFd7HSqBbu/5zhR2OnlfBkOyNBL530uNy0hlstynnO9+JoTv59aVOXEDrdTYZnP86qTzfVg4QpOrBpM9zDdU++//z5uvfVWG8Rl+gU+yqEqhBD/wWs7Xf1ff/21iafVq1c3ByPTprRp08ZchBROeV0X/gfbfDpDOVGMpAhJQZXFqSiosj285557zL16ySWXWFvIe5ysOFTpMub86UJ2h68zy2fKCBGKqByg5nplBFMQcFnr1q2TiJqPkYgawDhhzPUq1giOEbaomi4xZ/GPwD9vA5cN95nLx0k0zYs3O195wskTwMLT+WBbXgV/JrpUeWvQmBOVBYEii/rmZmXdaRdqtTKVFMqfG0KLAc0HAXOGAvOG+VREJbXKV0WHui0xa80CTFgyHWWKl0a5Ev7jrhMir2AIGtsjTk6n4tdff0WnTp1yFfaWHegMPXr0qAmazuQIp2wvKfSxw0oxlM+dohzORNEwp+vK+VNEZYcrJ22xI/Q64q67yMsQe1YXZg40J7ebI6o6zxn26c17AC63WbNmNj3xxBNYu3at/dcsgHHjjTdaOgDeh3Tr1u2Mfbh9+3YLPaQDi9vAfLfMOde6dWuvra8QQuQ1vI7PnDkzxSAic31T+KJwWrFiRWsjfDGYKHLX/pUoUcImph7q2LGjCZ5s2/h/z50719pA/t+XX345rrrqKnOCpgf//1atWllRKA4yO/cvfD148OB0f/fqq6/ixRdfNHE+K+0nBV9GkPC4E/kXiagByvGTJ7Bxz1Z7HlTFdLrc6xJRmR91/3ogKu+rrbPD5VT1Y4c1z0TUdZOAmN1AeBRQtxf8GQqW5SOjsPPQXmzbv9NnTsG1OzfZY+0K1Xyy/KCi1bUuEXX1OCD+EFC0pE9Xp2OdFth1aA827tmGUf9OxNVdByCsiA9yFAuRx7AT8d1335nThsUxGN7GirMM1fd2nm52OBgi6VTb5cTX7OwUL148WWRkh9URG/OsjcwBXG/uM07sqKW3zRSFHWGYE6sMUzim2MrtpDDM3zuP3tpmOm6feeYZPP3009aBpGhw6aWX2vqzE8kwVXYiuX4U0plPlSIqC1tRgFUqACFEMA0ish389ttv7ZrH6x3zaDLvd9WqVc116s/tj8gejAihs5gTxVCKqRs3bsS0adOsPWzXrp0NFlJMveKKK1C58pkRiExrdO2115oYSofy22+/bW2706+/5pprUKlSJbz00kv2+pVXXjEXM48xLpeuWOLc6/B+4Nlnn7WikXSzMgXBww8/bOvBlAMi/yIRNUChcEUhtXjRCJQvUQZBQ4XGQN1zgDV/ATPeB85/C/mGhd+6HpsNAgr7/2hq5aiKLhH1wG6fiKhH42Ox+/A+6yTXKi8RNddUbAqUawDsWQksHwW0vtanq0PXVd8WZ+Hrab9Zoam/lsxA/5ZnBYfrXog0hLzJkyfj448/thBFOjJuv/12u3GncOct6GBkfjJ2UB3BlOeeIxYy7xcf2ZkI1nOP20uBmFNq6FrlfqGoTOcJO1B8j+Ix9xFFS28UKuG82GHk9MYbb1iIIcUEvmaoIfPeUkCg89SBRS+EECKQ4cDVyJEjrS1keDcruVMw4yPDqCmcUWwTwQ2jWHj/wYntHt2fa9asMUGV90iM3GDBJ+YVp5jp5D3noCMLWFEYpSDavHlzjB8/PrnY1JYtW1JEdTAXK81TThFIBw5kckCT82WKgREjRti9ANtdpuJ5/vnnfVN8WvgNElEDlE17t9sj80AGXcem090uEXXR90CvZ4CwtN0jQUXCEWDVWNfzFlcgEHDE+71H9vtk+U5RtQolylhBIpFLeB1pfhkw4Wlg0Q8+F1FJeEgY+rc8G9/N/AOrdqxHrfJVlB9VBBUHDhzAF198gU8++cSEuhtuuMHC19lx8KZoSkGQj/Hx8SYGUpTjMvmcAmHQ3VfkoiNH94l7PjWKqI5TlykB6Jbi/uI+9Eb1Zzqt6ELmxOVSTH3ggQeSnav8L1lA5Y477sDNN9/skWUKIURewtQqFE45MMQBrXPOOQd33nknGjVqZMJpepEEIvjh8dCgQQPUr1/fxPStW7di4cKFNvDMeya202z7OLGII0P30wvfZzEodzZtckU0pgcFe4b5C5EaiagBysbTAlK1YCymU7MrUK4+sGeVy53Z4XYEPavGASeOAWXquByBASSi7jmy31xUeZWfz2HzPtdAQvVgPAd8RdNLgL+eATZNBw5uAUpV9fUaIbpUOXSo0wIzVs/HxGUzLR9vyYhIX6+WELli8eLFVlSIIWQMO6OrYeDAgR53Nji5PymYuoumFPqYh5NOSoVDZg8n16vjbGH7R3GT+5f7euXKldYeOqKqk/rAE1BIoLDAkEXmCeTxwlBF/s98n4W5nLBFIYTwZ3jtpMuebeGECROsgBCLCjFsn856Dl7ldd9C+C8cmCxdurRNFNd5nDA8/++//8aYMWPsPopp+O666y4L5RfCm0hEDUAYxrz/6EG7mFQrE42gg+6NdrcAf9wPzPkMaHcr4+0Q1DAHLGk8wLX9AUCpiEiEFC6CxBPHsT/mEMpGls6zZbPz6Lixq5WtlGfLDXpKVgaqdwE2/gMs/QXoeh/8gfa1m9v/vf3ALoxdNBWXdeinG2sRkB1GVmFnMYz58+dbXq/Zs2dnWgk2uzCXJ8PYmFuVTle6Ipkzk8th5yMQRdNjxxOx5+gBnEo6ZbmRbQoJRZFCvr+N5bWIYjQnOkPdRVX+B3QWszCG42jlf5BblyrbQIrvLL7BZXz22WdWWZgpIOiQveWWW8xRLIQQ/gbd/MOHD8dbb71lbRRd9ryGtWzZ0vJSemrQSQQvHDBkBAYn5k9lOD7vp1hEqkePHuZcZcQG33dC/YXwJL6/+xQ5DmOuWLIsioaEISixsOJngH3rgA1TgNpnI6hD+ddOdD1vPBCBAjuB5UqUsfy8dKPmpYjK5cUnJpiIS6ei8CBNBrpE1BW/+42ISpGiX4vuGPHPSBNSZ69bhI51W/p6tYTIcoX577//3goYsMN43333WU4vTxUBomjH+VI45US3KUVThkCycxEo+eNiEmKxaPMqLNy4HMu2rcHuw/ux5/A+7DywB/HjXEUgUlOoYCGUCC+O2uWrom7FGlZos07F6qhXsaa1Db5IS5BaVOX/zxxt/G9YHIPQnUpBlf9TTkRtVgVu2LBh8ryYH44OY6dABisN33333RbSSNFWCCF8DXNuM2Sf4ild9eedd56F7bMyO9srCmNCZBe2fS1atDB3as+ePW2Ams5miqhPPvmkFYJiUUblMBWeRFerAOQ/B14QhzGHFgOaX+pyos7/KrhF1NXjT4fy1wbKN0IgUS6ytImoLPDUKA9zVToDCVXLRFsnWniQBv1dLvBt84FD21zuVD+AQknPxh0xZuEUzFq7EDXLVUFUhPcK7giRWyhmMr/ba6+9Zk4I3sgz9Iyh4LmFTkTmwmSxhR07dphYSFGOnQgKc4HQGY1LTMDEpTPwz8q5WLBxOVbt2GBO0/Sg67RggYI4diIx+b2Tp07iQMwhzOW0fkmK7zPVS4/GHdCjcUcbdKF71RdQJGUxCk783xzBm2H/dCQ7gjf/v6z+b506dcLq1atTvMeiV8wZN2PGDAuRZfVhHnu33nqrhf9z+UIIkddwEOmdd97BBx98YGH6zF3J4jwUT5nyRDm4hScICQmxgcvatWtbOP+FF15oRaU4gM1CURRVGaUhp7PwBP5/ly1SwBvwLft32POgDOV3p+VVLhF15Wgg/hBQNG8EE45U/fjjj8nPvc6KP1yPjQInlP+MvKiH87a41OZ9zjmgUH6PU7w8ULU9sHmWy43a8Q74Cw0q1ca63VuwescGV1h/+36+XiUhzoCh3Kz4SrcNhTGKWQwp84SwSScPiyps374dJ0+eRKVKlaxyrSdCxPOC4ydPYMqKOfht3gSMXzwNscfiUnxeqXQFtKrRCM2rNUR06XIoHV4CKxcuw4X9B6BMZCnbRjpvKaQmHD+GhMRj2Hf0INbu2mTTmp2uxw27t9hg2+eTf7KpaJFQdK7fGgPb9LJidYxi8AVOASpOFLxjYmLsv6QgumjRIhM6KahSWMgoZQndzB07dsSQIUMwaNAgc7h++umnNnEZdHdxYnVrHn+sak0Bn0I+O5hCCOFtWAmd6Ws+//xzcwry+nP22Wejbt26HovEECI1bAPZljJig2mMLrjgAhNTR4wYYVEazJnKie2wEDlFImqAcTD2COKOxZv7juH8QU10c5czc/dyV37GtjfmyWLZ0WVi6jyBjpp1f7ueNwg8Qah8iajk8HoK/HnRiWcHeufBPfa8SlRFry8vX9LofJeIuty/RFQeXz2bdMK2/bssL/SMNfN9vUpCpBA433zzTRNPeeNOFypzveX2ukhHKx2nnFhEiMIs588qtIGSG3jLvh34eOK3+HXeBLuPceA1vF+Ls9C2VlO0rNEIFVLd1zAU/uDanSgZXjx5P3KbmcrI0hlFABVLlUOTqvXOSA0wbdW/mLRspk07D+3FX0tn2PT0z+/g6i4DcU2XAWcsL6+hI4ZuLIoKFN/5Hy9YsMA+o0BepUoVC3tNfQy1adMGv/76Kx577DE899xz5u56++23ceWVV6b4HgX23377DcuXLzc3TuPGjXHRRRfh2WeflZgqhPAKHOjjNebrr7+2YlEUrrp162bXHFZaFyLP0s6VK2cTBy2ZPoJRGmPHjjVx/4477sCjjz6qlDciR0hEDTB2HNxtjxVKlkFhPyio4FXYaWh5JTDucWDB13kmouYpW2YDx44CEWWB6BYINEoXK4nChQpZ0Y9DcUdQKqKE15dJ1xGLWYUWCUGZ4hrJ9goNzwfGPgZsmQXE7AGK+U/e2fCQMPRu1gUj5/6JhRtXICpOOY6Eb2FldDpP2VFkODWLR7HjmNvBIoZ8b9q0yQoU0ZlYq1Ytc1YEUmGo9bu34N3xI/DLnPE4ceqkvcf82ee36mGu0FY1Gntl8K1YWAT6NO9mEwf4Vm5fZ6lAvp4+ytLPvDnmc7w7bri5Uu/odSWaVq0PX8J9wLxunNjZY/grBVWG5jP9A4utUFBluKJD//79bcoKnOeXX35pgusLL7yAJk2a4IYbbrB8cRTlhRAitzDFDJ3vH374obWBDOGnY57iqT/n5mZ7y74Fi+QyOiImgVOsPbL+AgfuChUoiIIFC6EQnxcsiPCQoigZEWn9nlKnH9kvEf4JhdL27dtbLnEObk+ZMgUjR460KA0KqcwhzgKQQmSVIFfhgg8WVSGVSpVHvqDZpcCfT7nyM+5bC5Txft7NEydOmMODDBw40Lu55Vb/6Xqsew7tNQg06IguU7w0dh3aazcgeSGibj89kOCroiH5gpJVXE7wHYuANX+5BjP8iFrlq6Jp1XpYtGklFu1eg0uPJwaUsCSCA4bTf/PNN1bMJzIy0qoN9+3bN1fXpbi4OGzevNkm5lFl5VlWLPZEHtW8hPlN3x47DL/Pn5Sc57Rr/Ta4/Zwr0aV+6zwdBOb/0bByHZvu7Xs9xiycjC8m/2Q5VH/79y+Mmj8Rg9r3xWMX3OZzZ2pq9wzvR3bu3Gli+ooVK8ydSkGVobA5Oc7426FDh1puuP/9738mbjA1wIMPPmiOVyGEyC6MkKAT/tVXX7UBGgqpTti+PxbzoRGD0QnsU28/sBs7D+0xM0huKRYWjsqlK1q9Bqbco8gq/Aveq7HgJge8u3fvbmH+3333Hd577z3Lm3r99derPyGyhETUAGP76TDm6NL5REQtVhao1Q1YOwlY9hvQ/aE8cRUxxxhhvjKviqhrJrge6/ZCoFK6WAkTUVncIy/d2BVL+o87MijhMWki6gS/E1FJ94btsWH3ViSePG7OsmLhEb5eJZFPoLNxzJgxePzxxy2E//nnn8cVV1xhomdO50e36caNG7F7924Tz5g/jo+BNlAUmxCHV0d/hs8m/ZAsnvZq2hn39rkOLWs09vXqWXGqAa3PsWnpltX48K9vLMXAD7PG4I8Ff+Ou3lfjtp5XuFIF+AG8/6ADlROPNYqps2bNQkREhDloKKrm5Lhr0KCBuXBmz55tLhw6qSmq3n777QEn2AshfAPTrXBQhg53tlePPPIIevfubQIVr1H+5jZlTZFlW9dY3uwTJ12REQ50kZaNjELxsHBEhIabIMqJjtMkJOHkqVNWyNB5pEv1YOxhS0/DR6ba43urdqy3iZQMj0TVMhVRq3w1K4YaKOl38gM8PimmciDxrLPOsggiprx54403LKqIaW8C7f5L5C0SUQMIhhQwDyCJzi9OVNL4IpeIunRknoioecaBTcDe1QCry9c+G4GK4z49EHM4T5a344BrIKFSfhlI8BX1egFTXnXl7D15HCjkXyOzvOFlLsXIwwVt1F+IvICi00MPPYRVq1bhiSeewG233ZZjpw2drMwdt2HDBiQkJJjrtEePHgEbUsZ8o49+91pyxEzf5t1wf78b0bhKXfgjzKP60Y3P4eazB+Gpn97BvxuW4pXfP8XX00ZhyGUPoHez3KVk8IaDhrlwKYAy1H/t2rWW65THDQXVnIifDG+cPHmyuXGYX5VuMg4KXHXVVerwCyHSHfj7+eefbSCR4iRTgzC1CEOl/c3Rzr7Jsq2rsWL7OhyNj01+v3jRCFQqVcH6EpVLV7D0YLm55tHJyvoQzP/N4rd0tzLN2aEtR7Bky2oTZhtWrm3toVKR+Q88Xplygq7pnj174vfff7eiUxRUX3vtNXOrCpEWElEDiB2nXailipVARKj/5pbxOA37Ab8XcRWY2rMaKJeygETAsm6S67FKO6BoSQQqzItKOBKbFy4n3pRwdFBOVC9TqRUQHgXE7Qe2zAVqdIK/weJ6xUICU3ASgcWePXvMsffDDz9Y6DMLE+S0QAbdOwzXX7duneW4ZK5TVmTPqZPV19AJ/sQPb+GPBZOSi0W9fPlD6NG4IwIBOmT/eOhTjPp3Ip7/9QMTga/96GFc1+0iPH3RXX7jSnVgqCELSTE0nw7m9evX46+//kLVqlXNVZNdBxjbU+aIo4Ps+++/NzGVztQPPvjAUkkIIYQD04oMHjzYBnAuv/xynH/++Ta4w7zd/gT7JDNWz7fUMhR9SVhIKOpH10LjynUsdYsnnYYc2Gfbx6lTvVaWMmDb/p3YuHebrQNzrc5bv8QmpiPjIF7DSrWDv75JgMDjlykoOEjZq1cvS+vHY7tfv35WhIpRH0K4ozM3gHDCmCuXymdFAIqWAmqd5QorXvYrcPajCAo2TnM91grsUa7Sp52oTMieV/lQOYqrBO5ehg5p5upd9D2w5k+/FFGF8DZ0i37yyScW6syQL3Yg6fzLaaoYuk4Zts+q7M2aNbOiPoEcMjZt1TzcOvRJS+fCHNm39rgMD/S/KeAGevkfDGhzjhWtoxv144nfYvjUXzB77SJzqzaoVAv+uM5ly5a16fDhw+ZM/fvvvxEdHY06deqYczU70IXFtBQDBgzAkCFD0LlzZ8sPx0JUzMEqhMi/HD161ML233//fROX2C62bdvWih36UxvGglAz1yzE0q2rzSVLGErfuEo91CpfJc9Ey5DCRVCzfFWbujdshw17tloqAT7SFMVp5poFaFe7OZpUqSsx1Q/gccz2k/dlLMbIe76vv/7a0lMwX+o999yjfKkiGZ2xAeb2IOVL+tdoX57Q5EKXiLri9+AQUTkqunG663mNLghk6Ixmw5OQeAxxiQlWPd1bMPcq4SiuyKO8qCaiTgB6P+frtREiT2HuyTvvvNM6jyw8cO655+ZoPvHx8eY6pfuUFWLbtGljrgd/6nhmFzp73v/zK7w06mPLfcoQxbevecJvQ/ezCl2nz1x8N7o1aIu7Rzxnue36vHyDvXdt1wv99j9jSGLr1q0tjzuPtalTp1qOQoqpPOayA9NJUDi99tprrWIxwxwZ2njdddcpxF+IfAav9YzAYDE6Ckx05THtDK8t/hQ9ceLkCRv0mrdhSXK+0xrlKqNL/TYoX8K3/WYOMNapUN0mRtQxtcD8jcssvcDEpTMwZ90iial+BNs5RnrweG/cuLFFHn322Wf44osvbBCBjlUhdKYGEHsOH7BHXzcGPqFeb6BAQWDXMuDgFqBUVQQ0e9cAMXuAwmFAldYIZFioI7JoMRyOO2pupPDS3nNK7z3iOgfK5cdzwBfUPotDs8DuFcDR3UBx5aEV+Sd0/8cff7TQZobv5yTvKcXTNWvWYMuWLShfvjw6deoUFI4+dvzuGfEcxi6aaq8v69gfL132oN+FveeGsxq1x99PfIW7RzyPyctnW65Xdny5newQ+yt0ODdv3hz16tUz1/PMmTPtmGOIYnbFVIok7DyOGjXKHDjsRCrEX4j8GbrPQZWBAwda6L6/FY3ae2Q/xiycktxHqFS6ArrUb22h9f5GRFg42tRqihbVG1qu1LnrF6cQUzmAx5QD/jpgl59guiVGDDFVDl3XP/30k0Vq9O3b1wpQKcQ/f6Mh5QCBI1fMp2LhW5HZuxEOCpibsWo713OGFgc6G/9xPVZtDxTOWVES/ywu5d2QfiZtJ2WL58NzwFfnXcVmrucbXIKJEMHsuKFQRAHq0KFD1nFkGH92BVTmPGXnc9KkSUhMTLTCBLwBDwYBdcPuLebMpIDKAbRXr3gEb139v6ASUB1YqfmbO9/EkxcOtnuvL//5FTd98rgV+fR3ihYtauGIzO3G445i6ty5c81Vne00BwMGYOXKlVZ0gyH+FFXoeBVCBCcsdMiBRFYvZ7oQhu7ff//96NChg18JqGyzWRDwq2mjTEANDy2KC1r3xOUd+/ulgOoOHactazTCTWcNQs8mnazQFcXU0Qsm4+c54/OkzoTIGmxD6T518oUzfQ5D/N966y1L+STyJ3KiBlgoP8UqdlzyJfX7AJtnAavGAe1u9urI07Bhw5Kfe4XkUP7OCAZKFyuBTXu34WCM9xp9pgqISYiz56psmYcwZ++ORcD6KUCzQb5eGyG8At2iN910k4lF3377rRXayS68mab7j7kpGV4dLM5TBxbHGPT2XTaYxaJun9/6khVlCvawvjt7XYWqUdG4c9jTGLd4Ki59526MuOO15MFDf4b3MKyYXbNmTaxevRpTpkxBlSpVbKCAQmt2Qvyff/55XHPNNbj55pvNjfb5559bzjghRPAwe/Zsy4XM3I+sTs7BE38L3Xdyn9J9umXfDntdq3xV9G7axZyegQTFVLpSGco/b8NSzF670PpTzMnNEP+2tZoqxN8P4IAi8+EzB7AT4v/OO+/gl19+Mc2A54jIX8iJGiDsOR2iUL5EFPIt9U53ajf8AxzznguCNw7M/cXJKwmkLR/q6aJSNbsiGChdrKQ9HvDiyKkTplMyPFJFpfKSmt1cjxRRT1c4FSLY3KdNmjSxkK1ly5ZlW0Bl8QrmO504cSK2b99uuSk7duwYVALqki2rcOEbt5uA2qhyHUx4fHjQC6junNfqbHx/9zuWumbu+iU4/7Vbse3ALgQKYWFhFpZI0ZNOabqk6bSmUzo7sKPI4lV0pZ133nmWM1iuVCGCw336yCOPmOOOA4AUiNgPouPO3wTUfUcP4pvpv5uASmNRr6ZdMLBNr4ATUN2hUNqhTgtc1+0iVC9b2fK6zlg9HyP++dWKUAn/CvG/9dZbLT8qRVWm0JErNf8hETVAcMKYy0XmYxG1bF2gVHXgZKJL0AlU9q0DYve58qFWCo7cYqVPO3L2ezGcf99pEbVsCYXy5ynVOgCFQoDD24D96329NkJ41H3KYlGsOMzCGUOHDjUHaXbYvXs3Jk+ebO5TuhO6detmBX2CKZ8ZwyUvfmuwDZI1r9YQP9/3voW65zc61m2JUQ9+Yi7ctbs24ZK3BicP7gUKzJnKwmYMy2dIIoV/FqJyqlhn1Z3LkP7FixfboANdqXS4CiECkzlz5liuY7rr6D5lKD/T0PB64W9sP7Ab3838A0fiY6yw7TVdL0SzavWDps1lhMPF7c5F/5ZnISI03NKkcXtZiIqDvsI/YI5xDrg/88wzePLJJ/H222/bOcP2VOQPJKIGmoian52obCBZYIqsm+S1xZw4cQJjxoyxic89zta5rkcKqIWDw1HJGxnC4lLZ6YxlB+VD9REh4f/lI14/2ddrI4RH3aeVK1c2IYhianaIi4uzjuf8+fNRo0YNc++wyECwdOQcZq5ZgEHv3G0d1va1m+One98LiDB2b9GgUi2Mfnio5dvbuHcbrnjvXstjF2iULFnS3NJ0TXMwgSLovn2utFFZpVatWjaAcO+996J///646667EBsbePtCiPzuPqVDnflO6T5lyo7atWv7ZVvGwasfZ49BQuIxRJcqhys6nW/pxIIN7vsGlWrj+u4XoV50TetXTV05F/N2rgiInNz5BTq0mXv8lltuMVdqhQoVzJXK88hbfWHhP0hEDQCOHU9MzjWZH90fKah1Ov+WF52ox44dsw4BJz73ONv+dT1WaYNgoVhouLlT2GjEHHPlLfU0juMnXxZW85eQfieXrxABys6dO8098Oyzz+L777+3vI7ZcZ8yXIu5JRnSzLCuHj16WL5JXv+CjRXb1uKaDx9E3LF4qxj8zV1vWfGL/E6l0uXxw93vWG7upVvX2D5KOO6Fe4U8gK5pumeYyoKDAv/++y/i4+Oz/Hse93fffTcWLVpkzlS6UlnESgjh3yxcuDCF+5RFcyimFi9eHP7Isq1rMOrfiRbmzvynl7Tvi/AgLGjoDgs2ntfybCs8VahgIeyOPYCvp48KqFQy+cWV2rdvXzz99NNWjPTNN9+0dnXTpk2+XjXhRYLvrj8IYe4XUiwsHBGhWS8EEJTU6AQULOQKKz60FQHJ1nlBJ6KyIxUZ5gr7oWPJ01Ccdc4Diag+wCmAtmmG8qKKgGXChAmWy6pMmTI5yn3qhO5TiKWLr0WLFggNDUUwsuvQXlz1wQNWzI952lhIKd/ff7hRs3xVfHfX23ZfNmvtQtw+9CmcOOmFyJU8ar/pPKObmnCAILsh/vw93azMkXrOOefg5ZdflhNHCD+NxKBrjik92rZt6/fuU7J+9xb8uWSarXvTqvUwoPU5CCnshZoVfgj/Exaeurxjf0QUKYqjCbH4YdYYLN68yterJlK5UpnSyXGlUljlPeKvv/7q61UTXkIiagCwP8YlHpVRGDMQVuK/PKLrpyLgSIwFdi0LOhGVRIafFlHjjnp83szFd/LUSbtpYmEpkcdY6olQIGYPsF/5fkRgwbQsjz/+OC688EK88sor+OqrryycOSeh+wxhZt5T3iAHK6x6TAGVxSzqVKiGYbe9grAiwSkW54YmVethxO2vIbRwCMYtnoonf3wbgUzRokUtvL9du3bJIf579+7NlhjLglNTp061dBkcpNizRwVRhPAXDh48iIsuughDhgzBU0895ffuU7Lz4B78MX+SDco0rlLXikgFY+RHZrAmSpcqzVH/dHj/hCXTMG3VPOVJ9TOioqKSc6XedtttVpyN0RpeiWwVPiX/XYUCkAOnQ/mDMe9LrkKLNwRgIYPtC4GkU0BkJSCyIoIJVi0mh73gRGVidVK6WEm/HSkPaoqEAZVbu55v8p9QzYKzPkLlfdNdgxPCK3z00UcWohsZGWkT86aNGzcu+fNPP/3Uwpb4Gc/NQ4fOLC5XvXp1+8x9olPNHYou1apVs5F7CpaeYuvWrbZ+v//+O+bOnYvrr78+y9cQdk42btyYInSf+U+D+RpEN+WtQ5+00EmGq389+C2UjNDAVXp0qtcKH934nD0fNvVnjJz7JwIdOrWdEH+eMwzVP378eJZ/TyF2wYIFNlBB5zfPn7yC1xWen8zT6sBtSX39YefWHV4f6tati3r16mH06NF5tr4iMAj0dpDMnj3b5svcx6wkfuONN9rx7s/t2cHYw/hl7p84fvIEapSrjF5NO/v1+nqbIoUKo0+zblbkkMxeuwhjFk4O2CiIYKVw4cKWG5WRGQztZwQTo5dYgDQvUDuYN0hEDQDYiDgCkmBe1O7/OVEDbQQuCEP5U4uoR70goh6KPWKPpdSZ9x3VO/pXXtTEOBSc8hJabfwEBXYu8fXaBC0svMQbMrowmS+RIb8XXHABli9fnuzSZFEmOj0z4rnnnrMweGdiERoHut5effVVy1HKfFIUOj3BH3/8YTeyDRs2NDGIj1mFBXKY25E3vXTmBXPovjvP/vIeJi2bac7TL+94DdXKRHt9mRSr6axhvlmKdYmJiebaYG7OI0eOJBdA4cTP+B26i/kbf3Dh9G3RHff2uc6eP/jNy1izc2OO5kPnSupOTv369eHLEH+61HgusBOYHVcp8wzzfGbu4fPOO89yxfH/9Sbz5s3DJ598YmJXam6++eYU1x9ebxx4rLGz++GHH1oY5u23327HmRDB0A7yOvn666/bICDX8aWXXsKAAQNssMSfiT0Wj1/mjLdCShVKlsX5rXpaXtBggf8L2zi6g3ksMH8m862vWLHCjiumHFqyZInlmuZAFnPXEr5fLKEwakdEY9/effhn0Wy8++sXWLJ8KTZv3mxphyjis730h/YxN3zwwQc2+BAWFmb3YbyPSw8OQHTp0gWlSpWyqWfPnmd8n/uDDuyKFSta5AW/401hk9eNSy+91IRUtqetWrXCd999B2+idjDvKJyHyxI5ZL/jwsvHFXFTUKUtUDgMiNkN7F0NlKqFgCGIRdQS4a5woMNxMV4bSCipc8B3VO8E4DX/caKu+AMFEmMRG1oOIVXb+3ptghYKIO68+OKL5sqhq4VVSZ2Rbob+ZgTDBVm5NC0olNG1xps+fic7hW3Sgjd+jz76KIYOHWo3k5dffnmWf8ubbHZm2ImpUqWK5YwrUiR/5F4bv+gffPb3D/b8gxueQcsajXM1P+5L3pizM+c8uk/un2WWPzMjNyPFbXaynEdnSv3amyGgD513M/7dsAzTV/+Lmz59HOMe/SJHOWR5Tk2cODGFo8WXhIeHm4OG5wQ7pOwUch2zck5QBGZ+OLr2Bg0aZGH+33zzDSpVquTx9YyJicGVV15pHekXXnghze1I7/rD44/57Djg4uxzvkf3uRCB2g4Suk6vvfZaLF26FM8//7xthz/nPnVvO8YtmoKDsUcshdeFbXoFTA5UtmXptXXur53wbl5n3NssXoucQTT353Q58xjhd/i6bvnqVlhrytp/sePQHvy6YCK6VG0OnEyyZXCwkd/j91O3hWm1j/52TPzwww+WHubjjz82AfXtt99G7969TWhmQcTU8NzjvR7bK24PUzf16tXL7uWcNoei4bvvvosRI0ZYVNGTTz5p86Rwzd94g2LFitmgS/ny5c3hSaGS9zPMRcx2yZOoHcxbJKL6OcwDefh0jkk5UVOFFm+aDmyZE1gi6o5FrsfKrRBsFE8O5/d8TlTeSJHScqL6jqrtgIKFgcNbgYObgVLVfLs+C7+1h61RnVDLz27+ghU6yX766SdzplEYyQ508bATxxDhK664Avfdd1+yQMRk/Ow40r3GGzbeAOYUujCY+5QdULqG6tSpk+Xf0k3EisXcPoqnad2oByvMO3ffV66b7tt6XoF+Lc7K0u/oCGXHjs4XPqbuJLIzTMEtdaeNLij3zhyPBXbiKHQ6nUY+Z0eQYbPMMcbvOO5Tx73KKa0O6uHDh1O8Jjy23NchIiLCRAtOuXUZ0yH10Y3PoueL15oT9ZFvX8F71z2d7Y4ptzG9To6v4Daww8lOIM8PulLZ0crq+dGkSRNz77HzyGrgLLTBjq4n4bz79etnzqK0Oo8Ub7/++mvbtxSS2Hl2OrAUJ+j6ozuJ28rf+3OOSOFbAqEdJHQvnn/++SaaUoBiOG+g5PJeuGk5Nu7ZhsKFCmFAm3MQEeZZsclTsP05evSotX9sc5x2kMdIapGSzke2NamFzKwO7vF/pBuV4dbOIFYjNELLps3x85zxVgRyc9J+DOrUzwbwuA5pDV467lf36A4egzzunPaQzyn++VJYpXuTzknHkU0xdcyYMfjiiy9skDyta7w7HET/5ZdfMGnSJCucxnsGngdPPPGEucjJl19+ae3ab7/9hssuu8xr20Jxkuc273uYV59CbqdOnTBq1Ci7FngKtYN5i0RUP4fiES/SHIFjFVhxmmrtXSLq5tlAsys8OmvevNDK7jz3GHH7gcPbXM8r5M7h44+UcAvnZ2PlycZXTlQ/ICQCiG4GbJt/evDChyLq4e3JOZG3lumMABpGCUjoYmFnkTfcvLGmCJKd0Hgm1ad4wg4cQ+RZzIKhRLxJdvj888/NJcAbOnY2cgLzMPLmuGvXrnYDndX58HrFMDjHsZCf3KfOYO3g4c/a/QYrHz8+4PZ0BVOno+g8sgPJdpIdLydfYGqnCzsQOcVpRxxRNa0OZ2ZuDkdoTd2hZGeXOXMphvBYce9E5kRYLRsZhY9veh4XvzXYOrXdG7bDxe36ZGseDC2Mjo62/cZzjqG3nuxkedKVSqc2XXhZcctSsB42bJi598455xy89957uOGGGzyyXgx/5rnPMMa0oFjFPJPcrwyPfeSRR8zNNHLkyOTvMN0A3YQ8vtRxFIHcDhKKvDy/GErM3KcMIw4UR9neI/sxdaUrDLt7w/YoG1na7wRTpw3kxLbJER452MTnvN7lVfErtjuXduiPH2aNxr6jB/HT7LEY1KGfuVR5HGXWPlJs5XY5bfr69eutbeT6O22i85hXwiqFXQ6C8xxx4PpQHJw1a1aWB8U5COsMHDC//a5du2weDtwuulw5T2+KqA5sgy655BKL6KDOwPzhbIc6d+6c63mrHcx7JKL6OY54VCqihN9Z7X3uiiNbZnt81uw8czTH4+xc6nosXQMICz5HZfGiEXaMnjh5EnHH4j02cpx44riNsBLlRPWDVBoUUbfOBZoN8t16LPrB8iGfqtYRcaH5xy3oKxiCRFcLb7J//vlnCw9kaG5WO5AMyXLgaDw7c7feeqsJRO5CFaua5pQff/zROo0cWX/44Yez3F7yZp3uOnYe2rRpk6/cpw4fTPgaM1bPR3hoUXx04/M2aOsumDodRna0+H85nSo6FhxnjT/fn7BDQEEiPVGCHS13YdgRVrld7qIqtzmzkL8OdVrgwf434pXfP8VTP72Dsxp1QFQWo4jYmRs+fLidbxRXmE+UOd6YA89fOjSOK5XnCc8bXgfYEeS+ycpv77jjDsvzyo4kRanXXnstVykL+F/dc889+Ouvv9L9b5hSwN0Vy+OW+SEpFtAV5JCVbRD5l0BoByn0MbcyQ4XpcqUw1KBBA7++PrvDAkmjF7BQ0knUKl8Vzas18Ml6cGCV7R0dm04bmFpYdARTXzs2ncLTFE5/mDkGe48ccAmp7fuiaEjmIeoc5HTaOIpsaQnGFCBTC8Z8pEBJwdjTMA0FxV26RN3h61WrVmVpHhQJKRg6oikFVGceqefpfJYXUNSmK5z7j+090wnQmcrBjpyidtA3SET1c/6rSq6DOgVOTtH964HYfQgIHBG14pnJnoMBhjPSLX00PhZH4mM8JqI6RaXCQkKzdEMgvHzezfrov9y+vmLJT/ZwqukgIO/uffIt7OwxlIzQ0cKRbnbSmG80J1AsokhHRxs7prmBN/scPedNKEfi+/fvn+XfHjhwwMKM6Z7kTW1+KByVmoWbVpjgRx7pcxNidh3EpGVrLbeWI5hyYmckEATTnA6cli1b1iZ3YdXddbtt2zbbJ9x+Fq1gOBw7X2kdM4N7X4NR/07Cqh3r8czP7+K9657K0nowZYG7yMLzhJ1aDhDkpoPlDdhxZjginSzTpk0zR6pTfTwzmB+OTlaGGtP9zdx33Kc5gW4lFryiw8+Bne9//vnHnD5Onjd3uF/JunXrUnQehQjUdpDw+nT11VebG23IkCEWlUHHWyDxz6p55qbkgF7vZl3ztK3hvQTFOwpqnDjAyusSRSVeJxyHqb+2fxysG9ShL36cNRZ7Du/HT7PH2WsWicwujljMKS1hlW0ihVUOpFFEZnvIifvLH/YP02bwfpB5Ur2V6zQ3sE1im8V7T4qZHPinO/SNN97I0aCi2kHfIBHVzzkQ43KiKh9qKsJLA+XqA3tWoQBdcR6EFx52CghdILkJRUyBU0E8SEVUElm0uImoh+NjULFUOQ/nQ9VAgl84UZ0BgePxQJGch5vlmD2rgd3LgUJFkNTgPGCXnxS6ykc44dE5hW4e3qTn1vXJG3p2GunUYzhWVh1BdJnwxpECEF1xvIH0hxv/vCYuPg73Dn/ewvlbV2yIGgXL2n6gIOYIpvkVCqvMX+ZewdoRVvfv328dSB7HjqDKyXEkFSlUGG9e/Rj6vXqzOYIuaXcuujY4fe3MBvwPmP+Ox6o/wm3l+UPnHDtxFCCYKzUrqTB4zvGcveqqqyx9xu+//26OuexCJw0dre4wrxvXi06ktO7f+L8Rdl6FCPR2kPB6RNGUbvvXX3/d3Hc5HZjwZRj/go3L7XmfZl1zVJgvu1AoZR51iqYUoZyc1M2aNbNrv8f6f3lEmeKlTDj9YdYY7D68D7/Pn4SL2vY2k0tucRdW3dtE7jfuPxZZY5vAwUXuQx7XOY0ycPY9/xt3+DqznOE8/imiskCje4V653ech/u1n6+dYkp5CfcVc/Yzgor7jGk8WOCKg4rZzV2sdtA3SEQNkHB+iahpUKWdm4ia/Q5KejDf0VlnnZU8suuxUIVdjhO1CYKVyKIR2M4qo6eLoXk2H6pC+X1OySpAsfJAzG5g+yKgevaKKniEpb+4HmufDRTVddHbMCcVHXLMy0jR8ttvv7XR/T///NM+d1wbjtDDGzmGHvP7vBGkUDJnzhy7pvJ9vmaYIcWT3HTy2Gmkk403n3S1ZfWmk51eOnV4baeTLtA6mp4IUXT+s18XTcTqXRtRLDQc7970NGpEV82XYnJOhFU6x3iv4OxLhhhSwHAE1ebVGuKG7hfj88k/4aFvXsHkp76xHHXZgccoQ+04UODP0MHL85vnFa8NDO/PynlFFw4LejAFB3NN8trSt2/fbC2b1xQW5HGH92wUdvk+958zX75Htw+vP8yb7N7BFiIQ20HClAIXXXSRRVMwXYZTnTzQ2qbJK+bYY73omqhZ3nt5oHlddf4vRqPwOsRrNgUtCoSB3gZSSL243bn4fuZobN67HX8tmYHezbp4ZbvYJjKPPCcOKjD9AfcrxUAOrLGtdNrE7OT4peubbm8WhRowYIC9x/nz9eDBg9P9HYXIF1980c5LtkPuMP0C14PzcERTpmjgeXn77Wnngc8LuE5Mb8N2lPmROaj4xx9/ZGtQUe2gb5CI6ufsd8L55cJLu7jU/BEosHUOUMFzIqpXoGtv7+qgd6KWCHflbTsSH+uxeTrh/MwLLHwMb8KqtgVW/OHKi5rXImpS0n8iauML83bZ+RS6DFjZlDka2cHgDRdvUFkcxqmYytyNDrwpIywic91111m4M8OqmKeNAiZvZHnz5p4fLrswhIwd2osvvhhvvfVWlotA0SnHG3t2atnhzA/Fo9jxoHPS6TTyP+DNerEyJTB6wwz7zv8G3oGalXxYKC5AoVDBEHZODMvdu3ev7WOmiOB+P7dqe4yO/Bub923HO2OH4bF0CnY5PPjgg1Yxl+GTO3bssDQVdJBcfvnl8Hd4nrdv395EpBkzZlgHsGbNmpl23OluYqeXHT12JHObGy6tzjgdSazKzDy3LIZFwYkVmoUI5HaQMNUHHWc33XSTrR/FoUBzT5L1u7eY4EfHZNf6p9O1eQh3cY8TCw5R3KPwR6EuNwW8/JXyJcrgvJZnY+S8CVi6dbWZUNrX8a7bktdyCnScGM3CwQa6PLdv326DCo5YzSkrYjXPDeYdphhKYdG5hvN4Jzze+R8ypzB55ZVX8NRTT5lYyDbZyXPKCBEnSoRFk1h1noI5z0EO4DFVkSPU+grum3PPPdcGVJgehAP8FFL56AnUDnoHiah+TMLxY0hIdIWKyIWXfmhxgZ1LUaD8Sfg1e1YCp04C4VFA8eC1zhcvWswejybEeGyeB5KLq+kc8Ju8qCai+iAv6q5lwL61QOFQoEG/vF9+PoTVgjOCnUJO6cEcTQzz8hSTJ0+2G97HH388ywWk6G7ZsGEDVq5cma3cjYEKO41O54WP7FSz48JiAuw8MsTuruHP4WhCLJpWrY9rug709SoHPNynDIvjxOPN6bRf2aQP3pzxNT7661v0rNUOzes3SVe8Z95VCqYUvSl0s2Ivzx33XK3+jBOeyE40hWS6vFq0aJGlkE5uNzuzDEnmMUvnX07PUToEHdhZpFNPiGBqBwlzHfI8eeihh6zyNs+9QGzXmE5myso59rx1zcYe6+/Scbp582YrusNrMqNWOLiTmzDzQIJu3h6NO2Li0hmYtmoeSoQXQ4NKrpy+eQHdkZyYR9g9bQJdkRT1OFhIp3Z6rulLL73UBiYpjPJ3HCAYP358cmGoLVu2mHDr8NFHH9lyOLjuDgcjnXOT94wUEVlkibld2cZynv7g3OY+oWjKfcaBfhac+u6772xgNSeoHfQ+wX8VCWCOxruEKBbTYbVckYqoWkBocRQ4dhTF4ncgYIpKBeBNTlZhWCiJSYjz2DzlRPXTvKh0otIZmpfH8/JRrsc65wBhkUzIlHfLFj7np59+MlfPBx98YI9ZzXHN0CXewDPMMbu5pgIJdg7YsWDHkZ0LFhXhNjO3pnvnevbaRZark++9fPlDHsmXJv6D+5XHGSd22idvW4CFm1fgvQlfYdDmHiYWsgPJz93/FzrVggFuV7du3azwzvTp062ARVbcXvwNO3p05LDTTNeMeydZCOEaFKSwxHaQAhEd3E7xn0Atbngw5jAiQsPRrnbu3JJs7+kWZhvIQRwOHlLA5kBUIArMuaVF9YbWh/p3w1KMW/QPSoRHItpD9SqyKxBSyOPE/4j3YyyoxjQ4FEU5sE1xO/V/xND99ML33UVCwvllBuf/3HPP2eSPsL1jPl6m5aCYetlll+G9996zvKnC/5CI6sccjnOJqJGn3X0iFby5pii5aQZKxm2EX8NCOKRCypwlwUaxMEdE9Uw4/4mTJxB7zCXIRp5OFSB8THRzoGBh4Ogu4PA2V57UvGLlGNdjw5yNzIrA5cMPPzQXAZPu9+/fP0u/Yc5KCjl0ZlKgCcawPW6b02lkugJ2Gun+S6tD4nTAWTGeXNX5ArSs0cgHa51/4H/w5EWDceGbd+Dv9XPx8MBbcSom0fKwMcSXnUd2LNnJDCa4bRTwOYBBYZThmFkZwGAHcubMmebCoTv1yy+/tHkJIWBpQ5i/cezYsZYGY+DAgZkW2vFnjp88gTnrFtvzzvVbIbRIzq6DDB2niEbXKa+lvK4yDFzXDqB7w3Y4HH8Ua3duwh/zJ+HqrgOznZ/bkzAyhgOJnJhagfcuLHLEtpLOVA4IBOO9WnYLNjJFB9MQMO0HRedHH300Xw4E+DMSUf2YI/Gu4jyR4RJR0yW6mUtEjc18BMqnsKI4KVcf+UFEjUtMsM59bl0kDDclrHZctIhuhvyCkHCgQhNgx0KXGzWvRNT9G1yDEXTN1eudN8sUPoeiH902dN389ddfVoAmKzBUi0IVw9cDNU9cRsTHx1txLXZAGJrIjgcdN5mFpf21dAYWbV5hES4Pn3dLnq1vfqZj3ZbWkZ2yYg4+nvo93r/+GUsrwbyn/P9YhIMdSuYQDaZCZ46rhvneKIwynURWHHPMVce8qiyC0a9fP4wcOdLmIUR+htd8DizwesE8kBxMDPTIihXb1iHuWLzVU2hcuW627w2Yq5bh4UyBwmsoB2uYTkRi039wX/Rp1g37jh40x++4hVNwYdvefrGPwsPDLVqDhRr5X1IIX7t2raXFcdpDf1hPX8B2kDlhKaQyjyujM1gDQNEZ/oNEVD/GKc5ToqgceBm64riP4vxcRHWKSpXN3k1CoBEeUtQaPAqo8YkJiDgtqub2HGCu1fzakPolVVqfFlHnAU0uylsXavXOQHhgdxxE1l03DGsaN24cpk2bhoYNG2bpd8wFyuJTvDFnPq5gunYwRJH5Xek+pduUhTGyGqrITufro4fac1aOLxup8yiveOyC201E/WXun7iz19VoUKlWcngjXVQUxCkcUiysVauWdSKDobPE45KdYYYm0hXOasgUkDPbNh7Tf//9txW/YEVzOu+cXHhC5DeYY/n88883596QIUPQq1evgB9YYHvEMHPCiIisXu+OHz9ujlO2g7xHoOs0KwOI+Rk6fC9o1QNfTx+FDXu2Yva6RehQpwX8Bf73TtEppiXifztr1iwTENl+sIBUMLSH2YUDAwzpp9hMIZWO1BEjRshh7SfkvyMygDgc53KiMhm0SIdoVyNQIm6zq3CTB2DRh1dffdUmj1RvTjgCHDmds7VsPQQzbOQopJKY02H4ucFJC1C8aESu5yW8kBd1y9y8WyaLWZGGWQvlFoENO0pXXXWV5VSkiy0rAio7ZcyxxdAwhvIFaqGN1HBQikWHGBbNjgVvoCksMddkemH7aTFhyTQs2bIK4aFFcUevq7y+3uI/mlWrj/4tz7Zj9J1xw1N8RoGR1b4Zws5OE51mdF2vWbPGCmUEAxRFmVKDhUJYYIfnd2Zwv4wePdoGQ1jtnIMjQuQ3mKbl7LPPTs7nSHd2oAuohGLegZhDCCsSiiZV6mXJibts2TJMmDDBcn/zunDOOedY6LME1MwpGxmFno1d1d5nrJ6Pzfv8s5ZIRESERS1woICDjKtXr7b/nI/B0h5mt+3kYCLd5zz+mcKDqaqE78k3IqpTjdd9evnll+HPHDldWMqpeC7SoExtJBWJQOFTia6q3R6A+XRY7ZKTR/KUOS7U4hWAoiUR7PyXFzXOY+dAZJjOAb+iShvX487FwPE8aMxj9gJbXdVbUb+f95cnfAoFFoYtrly50oRD3khnRWikeMrOVZcuXQI6T5z7NjG8jYIaxWEWimLHgh0MOjSyg7sL9cbulyCqWPC3Rf7GvX1cxdBGL/gbOw/uOeNzDtrSOd2zZ08TVSk4svO4fPnyoOg8snPMc5P333TdZqUjyHuwr776yqoWU4SlA02I/AKvARRQGaLOtDYUDYMlX+S89UvssWnVehnmQuW1j9fASZMmmRO3ffv2di3gfUGwpenxNk2q1jPBmvcDYxZMRuyxePgrbA/pQu3Ro4fleedgwsSJEy3cn8Wp8hMsDnreeeeZG5VpgAYMGGCDCsK35BsRlXAEjyFwznTXXXchIJyoCudPn4KFkFSxiT0tsHMR/JK9a1yPZYM7H2pqEdUpCJUbjiYPJMiJ6leUrgFElAFOHncJqd5mzQSqQK5CciUre395wmewwzRo0CDLc8ZwXo7CZwZD+hgqzJBHijSB7tJhB4c3ypMnT8a6devQuHFj60gwzDun0RF/Lp6GpVvXWAXk28+50uPrLDKncZW6aF+nBU6cOokR/4xM93sUGRnOT+Gwc+fOOHz4cLIzlcd6IMPjlw5qukyZoiMmxtXGZwSFkqFDh5qYRPGEeWSFCHYYusuIAw4IPv744+bGDpYCdLsP78PW/Tsteq1ljbQL7vJax2ser328BvJaqJynuadHk44oU7yU9dEmLp1h9xv+DP9rpnJhe8gII0YkUExlO8CB5vwCByE5iP7MM89Y/lgnvYfwHfkqJypv2rLjTjl27JhNDszl5LhkshKKlBbO7zL7feKJ44g97eRjQZ2cLi9fUK4xCm6ZjaTti3C82WW5nh1HuJhPj3D0K7cjnQV3rQDncDKqNk4FyP+Y1eM0LUILh1jDdijmSK6PWyZB57zCi4QF/DmQm33qjxSq1BoF14zHyU2zcapiS+8ua9V4G/E7WbtninPIE/s0WP6PYBFQGbbE/JB0oLKzlJXfsIAUYScr0DuZdB4xnJsuA4YrshCPJ3KBfTzpu+RcqKWLlfDAmoqccNNZl2D22oX4ctpvuLfv9RbKmpkDhVXuneOCueIYvsoqxoGaI86Ek5YtzV1GIZXF4ridmf3m448/xg033GADJfxdVopUCRGoAqrjtnzsscesbfNIejE/Yfk2V+RgnQrVzzBJ8J6fESWMvqDrlsJpVgZTRdZgod6+LbpbftQ1Ozdi1Y4NlqM7EGD6Ih4LHGRmpBIHmVmYioOO+UFYZ25Upv2hLvHUU09Z8UXmC+f7Iu/JVyIqw/eff/55u/m84oorcN9991lV2/Rg/olnn332jPcZXpXbA5Yjaxlx9Fgc1m5ZiyIFC+NvTMrVsoKdqvsAZkY9tHomZmJsrufHEDMmcibff/99rnPttFszDZTul+05jk1jc79+eUlmx2larN6/GWsPbEHinqM4uHZnrpY/a/N8xCTGISouFFuWrkMwkJN96o/UiS0OZqncNe8P/HuwuteWU+DUCfRZPcFE1Bn7iuFgGudQbvapRnL9A4rZvO4y9yfbXd4ks/JwRjfGFBqZI5Qj9HQoBHJo36FDh6xTwMJRzOXKMLaM7k+yw8rt60y4K1SwkImownec26wrKpWugO0HdmHk3Am4otN5WfodO450ojGKimKq03lkDtVA7Dxynemw5v0VQ/vbtGljHeTMhCUOshC6UqdMmZKlVB9CBBIcMGHkAY/t22+/3ap0B5OASpF09Y4N9rxhpdpnRGCwHSRMaZJfxLG8pnyJMmhfuzlmrlmAictmoGpUxVwXAs4reDyw0BSPDbpRlyxZYiH+zJufH8R2DizwmsDBFepaF1xwAX7//fegSfMRSOQbEfXuu++2kW92ylikggcfb0bffPPNdH/D79x///0pnKhs1HJTFZEdRXb4mdcmo0Zx456t2B56xKrn9u3cN0fLyi+c3BwFDB+KMif32KhMbmFlQAeO+LCDnhsKr3vKHht1vxANWVk8AMjqcZoWlbasQtKymahZrir6tu6Z43XgDdX6Cftw/OQJnNe1H0oHeA6/3OxTf6TAxmLAlz8h+tROj5x36S5n03QUnh+PpPAodLh4sKXw8OQ+dSIMhO9g2B4HNulAZd4zFk6isEIotKTViWJFcwqoFF7Y2QpUVx7bG3Yad+3aZTfGrVq18ribdvjUkckCXsVSGQtVwrsULlTYhOznR76PoX//gMs79s+ySMDvUTRlRBWdWkuXLjUxNZA7j8wBy/N97ty5FvnDznFa8H59/vz5NljCwjoUlxwhNb3fCBFoMO8jBVQKRAzh50DJv//+awOEwTJgsPXALquZQBd+jXKVz4jACHSnfaDQvk5zrN+9xVIrTFg6HQNanxNQgjWPD94z8bxghAbbEGo8PGcyi2wIZOjQptmAqT44CMnw/gsvvBC//vqrCqzlMQEtoj766KN45ZVXMvwOOye8ILuLoexwsZNy6623mtuUN3BpwffT+oyd9dyKIJnNI/Z4gl0gShUrERSCi1ep2MgeCsTuRZHEI0BE5iGgGeG+v3P9Xx+PBw5tsqeFKzbmDBFI5GT7S0ZE2rF77MSxXO27hOPHcDLplM2rdGQpC0EJBjxx/fALqrZmrx4FDm9FkWOHgGJe6sSvdznxC9TpiSKhYR7fp0HxXwQwTJ9yzTXXWOVV5kDlTTBh/qv0hFTmPqWAyhtotu+BdOPvHvHAbaYYxoJR7Dh7w0lwND4WP88Zb8+vlwvVL7iy0/l4/Y/PsGL7OizctAIta7juYbIK20QWS+Vx43QeS5UqZWJqIHYe2QnmPTnzGjM9B8/rtARUDjBQXCIfffQRbr75ZhNS//nnH8uZJ0Qgw2gEDghzYNA9hJ85hJ2UNcEgpK7esd4e61asjqNHjpp4yjbd0xEYImMYmdKneVd8NW0U1u3abO1Ro8p1EGjweKlbt661icyhO336dBtopJiaWxOUPwqoLDbKFD808/F6QWc3hdSLL77YhFT1afKOgB7meeCBB0wkzWjiBTkt2CjR/cKD0R9xCupEFlVV8kwJKYbYkDKu53tcYSB+w751roI4RUu5CvHkAyJCXUJATC4LSznnQNGQsKARUIOKsBJAmbqu59vne285a06H6tfr7b1lCJ9At/k999xjAgkLBZQp8981kje/FFIpoCxbtiy5+AHD3RlNwnyhvEkONAGV7mnem3B7KaQy7x0deN4Kxfpx9lgrIMHcc53qejd3scj6QGPvZl3t+W/z/sp155EdqRIlSljnkUJkVoo1+RsUQdkxpKDConIZCaiOkPzZZ5+ZM7VPnz6KKBABDR2YLBRTrFgxE1CZ99cRQ+gyZ5918eLF2Lp1KwKZk6dOYvXOjdb/Pr4/zq5ZvHbxGsZrmQTUvKVsZBQ6nr4vmLJijplXAhUOxHHAnQNrdG5zUJ6h/sFS9yC1gEp438jo6KefftoiuZgzPD8V2/I1AS2ismGhCyWjKb2wuEWLFtlNWGY5mHzF4TjXTXCJ8OK+XpWA4GjR0xW7d6+AX3HAlfcHZWqbay8/UCzMNfIXeyw+V1Ufj8S70ipoIMGPqdzK9bjNSyLqkR2ugRGeO7XP8s4yhM8YMmQIRo4ciT///DPNtji1kLp//35zoFI8ZaX6QIPbwXQF3A7eCLNjnNPUQFmB19/hU3+x59d1uyjgBOdg5sK2vexx1PyJJizkBt7nNmrUyNzMFF4mT55sHa5A60zRhc7zgg5tpilIT0B14D38sGHDrC/AcEb3QrBCBFI0BtPZMEUNIyzdBVSHYBFSN+3djt1792DH1u0oHxll1yxeuwK9IGQg06ZWE0QVL4W4Y/GYvsqLhog8gjVrODDNAWoOKFJMZT7tYBNQ3beXgxBM/8GCi4888ojP1jO/EdAialZhp+vtt9+2xoehT998840VlbrqqqssBMofcVx8EaGBkejZ1xxxRFR/c6LuPy2ilk4ZnhbsTlR21tmBY6OcU47Ije3/VGrpXRF13WTXY3QLIDx3aTqEfzF06FC89tprGD9+vIVhpYcjpDIHFMP7GbKcXoSJv8IQZYpBCxcutA4jt8dJW+BNlmxZjbW7NqFokVAMaq/c6v5E94btUTI80vLRzVq7yCPzpCulefPmJsKwQAvD3A8fPoxAgvfk7Ciy00hXbXoCqgPFl19++cWcqEwLEmjCscjfcKDrjjvusEHC//3vf5bnMD1BMdCFVLptx0+baHlfuzRvjzat26gYjp+E9fdo3NGeL9q8wtqkYIBiY4cOHcxQx7zCvP8KRFdqRgKqAx3srE3Ba8iIESPw+uuv5/l65kfyhYjKvKasss5RCXZgXnzxRRNRP/30U/grDL9zD40WGXM03HGi+pmIemCj67F0YHX6cwPdIeEhRZPdqDklJsHlRC1eNLhy2gStEzUXruN0Wfe367H22Z6ft/AZo0aNwr333msVRZmjPDPoMKNbh6F+dBbkxuGe19BNRycEb97ZQWZOu7xyhP4+f6I99mzSWddRPyOkcBH0b+ly1/8690+Pzpt5UXm/yxB5OlPo7AwkcZFiC89x3ku4F/pMD3Ygx4wZY51kXlcC6fog8jfMZTh69Gg88cQTFpZLV1lGBKKQyvORVdTZDh5IOGKDpk1rN/T1agk3qpWJRv3oWvZfTVw6I2iuobzXqlatmoX4s10JNFdqVgRU9wHICy64wBypzz//PL766qs8W8/8Sr5IPtKyZUvMnj0bgURsQlyK0GiRVSfqCpeYk4tOKsNomF/Eee4RJ2pU/hFRSbGwcBsIoBBarkRUrpyoxXUO+C8VGgOFQoD4g64BA08e5+z0rz/tRJWIGjRQ1Lnyyivx9ddfo2tXV17IjGAOVEaTcACUIf/pFZvyR/cpq6fzhp3rmpfiKWEn6Pf5rqJsF7TukWfLFVlnQJte+Hr6KIxZOAVDLnsQoUU8F9LKnHBMe8ECGxQXKebzXtib6SM8gRPCz1yndKkx/zHPm8zSd1BcmjBhgnU26VxlXkkh/JkPP/wQ7733Hl544QX0798/y+emI6QGQrEpClcUfFk0q2GTRlixeIe9XyUqfXe58A3dG7bDhj1bsOPgHizbugZNqtZDsMC2hK5UFvKkKzU6Otruy/y5CFN2BFQH3iOzwBQHH2+77TarM8Cc4cI75AsnaqCReOK4TURO1KwRE1YRSQUKAvGHgJjcjTIxlIajw5xynafnQP4L5/dUcSnHxUpBVvgphUOBik28E9K/exkQuw8IiQCqtPXsvIVPoKjI4hlvvvkmBgwYkOn32fHiACjFIFbsTq/YlL+xa9euFO7TqlWr5rngy6rvW/fvRHho0eRQPeFfdKjTHOVLlMGhuCOYuWaBV5ZBdwpdqexcMbzfn12pqXOg0lHLji87kyyakRl0uDE9yCuvvILPP/88T9ZZiJzw888/W+5CusaYzzcqKntmA393pLJtpmDFdpD9KDoBEwu72usyxUupb+uHMFrFKTI1ffW/yTpEsOC4UnlP5rhS9+zZg2ARUB0qV66Myy67DHfffTcGDRqUPNgiPI9EVD8O5We4lyedCcHMqYIh/4XM+0txqeMJwJHtrudRgVcEJTew407iExNy7cZWXuAACenfvsA7ofw1ugCFdR0MdLZv345zzz0X999/P2655ZZMv8+wfTpQWbHXPQeqPwupTu7TBQsWWO5WdnJ9lfONBYtI76ZdUDQkzCfrILKSi66DPZ+y0nsdHbpSeTzyvOF5SDHV36rZp1dEiiIwhdTly5fbumcG04MwXcg999yDsWPHenmthchZNMZ1112HBx54AJdccom5xXOCvwqpFKgo3KxYscLOZzrgKaRu2e9yoVYtE+3rVRTp0KJ6Q8vVHZMQhwUblyMYYcoMtin16tWzvNssNO5PuVJzI6A6MHLj6quvtjzh/fr1s0KNwvNIRPVDePEiGqnLHkllarue7MvdxYIuDd6wc8qVY+PgZldqgdDi+a4oTvjpTnvcsYRcO1EdQVb4KZXc8qJ6krVOPlRX3kARuLBTRecpc74x91tmJCQkmIBKB2ft2qev6274o5DqD+5TB7Zbo+e7zp8LWvX0yTqIM3n55ZftmGDeToduDdrZ45QV3neL+KsrNT0B1YFF2Nq0aWNpCbLiHOI2snDd5ZdfjpUr/SxPvsjXMDconac33HCDHZ90xuUGfxJSHffp5MmTLUya7lN3gXjLPomo/k7hQoXRub7rnn7u+sWIy4URxp9hO8zIBd6rxcXF2THrD65UTwioDozguvHGG9GjRw+LAPO3gdNgQCKqH/KfeCQHXnZIKn26s71/fa47/MyVwonPcx/KXzNXOVoDEUf4jEvM2f47eepksos1QuH8/k3l1q7HnYuBkx4azU2MAzbPdD2vrXyOgQw7VjfffLN1qj7++ONMhUWKkBRQGd5I91x6+IuQSvcpnacUgXztPnVYvm0tth/cbS7+7o1cIp3wLXS8fPLJJ2cUUuvaoI2dE6t3bMDOg97vxLm7Urdt22auOF92rjITUB1YJKtZs2a2H5nmIzMYzjh48GDrPB48eNDDay1E9mGeQhZ+6dKlC6699lqLsvAE/iCkcuDTcZ+2aNHCzmf3dGjHjifiQIzrvK1UOmfOW5E3sMAUa1nwP5uzdhGCGceVynPRcaWeOHEi4AXU/7N3HlBSFdkbv8DAwJCj5AwCShQQXJKKgphzVkyrruGv7rqGdc2uuobVXXNeRdecxQAiIBlEBAHJOecwMAMD/M+vemrsGbpfh+l+VW+mvnP6dDPTTL9+r15V3e9+97uAfUWXLl2UNyoJVHoR0KDVIXVwJKrVTaUceZQIDuimNpsska2XUj9UUKmYSlT9/yh3rFQ+M6XH5pBiYFVRsbrI3t0i61Ok+oFA3bdHpHpjkTptUvM3HYzgsccekzFjxsjHH38smZne9zIbvClTpkjFihXV5i8W4WqaSIXMGT16tOTm5irVjUn1aTjGzJ2inv9waDepaPH8yfWChIbEQwUCqYeSCbUWwQQ+mDNnzlTv5d88+B3vgSxA/cs1INlpg6LSy5qCAObll19WwUw4alauLl2atVevR+dfNz/AcQwYMEARMKhSOa+2EqgaNNChBBOfZM5pLNChGDXOueeeaywwdnAAzE8QpxCL1113XVzrW1CIVOZg1ngSNKyDke7ljTu2FMS1ulLNwU4wLvu371ngrb5t1w4pyQhXpbKukFhEnRpkAlWjbNmy6m9iHUKC4+9//3vK/raDSIbpA3CI7onqyvkThPYdLaYSNWXYlE+iprJjeUCgN0nJeqLqeyArs6IVpISDB8qWFWnUTWTRD6GS/gaFlVbF8kNtfUypU3GXJHz11Vdy//33K5Imlu8bhBqECkQqwSCbv3igidTx48erf1NB4MecAeGHagFSB8sBm+apH3+bqp77tethlDQgIIHgRKXEA7JZv9b/5n0ZGRmKYOfBdedc6seGDRvU39u4caP6N+9nrPAMMcbfgYgF/H8IeP0o+u+qVauqz/IbkCb4kg0cOFB14i6KAR16qWB19JxJcv5RJ/l2XFqVCgFDx2LI7MMOOyzue89PAlWDe41xg1odRR/XNRr4HsOGDVNB5K233ir/+te/UnT0Dg6Jgfsepds///lPNR6591INTaTqRjIkHdINfIqx2Yi1DmoStU7VWmk/Jofio1mdRtKsbiNZtmGVTJz/swzu0k9KOlClcm+SkCcp0LNnz4QbvtlEoGqwD6KknzWQZnYdO3ZUViIOxYcjUS0u53cNdRLDAd1YCi9SyorLlTd7QJvzu8nq4ypFKG45/+++wO4eCExzKU2i9rgshSSq80MNKvAivOCCC1SXbBpLeAFSDMXhjh07FDGSKNHlJ5HKsfLdUEni00iZsU3I2Zsrkxf+ol73y1eTpBsQmlw7FEnbtm1Tz7pEHGuDcCKToKQowel1vbF3oEFQ9+7dlSVEtM+PRtRyPDxD5kK2QqRWr15ddX7nwet0EqvvvvuusnuAQImGAR16yr+GvyY//jZNjS+/CXnIl379+inyBZUn5zq8FNcWAlUD4pdryrFy30cbF4CglEZTBMQEj3hROjj4CaowHn/8cXn44YfluOOOS6vdi19EKvMU5M/ixYvVfBErSbpxx+bQ8VVzJGoQwBr0h7ZHKBJ19qoFctSh3aRapSpS0kHiDcsd1g0SdewlUakGlUDVYJ9z8skny7p165S9Vps2bdR961A8OBLVQmgCyZXzJ4iqDUTKZ4ns3SWyZan5MmBXzq/K8pMJCn9PJDg1dmBI1FQ1l9q+RmTdnJACteWA4v89B9+xefNm5UV4ww03qFLaWKBzKKXZEKjJkjd+EKkQehBiEIaQThBytmHqopmKSK1fva60qd88rYSpJk15cK41KdmiRQv1ukqVKr4QggQ+qEh4RAPrEMSbPmYUrgsWLFCkK8cZTqry8CLm4gVltXSJHzFihKdiskuzDlK+XIbyDKT5Cgogv8H9w/3H+EY5DhGTjvFdXAIVMKbwXYQogpzu1auXp3qWTsUffPCBCiJRzDFPODj4AcrrKeOnmRxrIk3S0o10E6nJrIMbtodI1DpVC9uZONiLRrUOUU3AWJOmLJwpAzseJaUFEKfsC1hfSAizn0x1hYZfBKpGo0aN1H589erVqtEr3y3ZNdghBOeJaiFcOX+SIFizpaQff7at+b5ENYvXfTPISlQaROXmhUotk7kHXCIhYCQqnqi5sb3q4lKhNugiUjn9pTQOqQXl+DR1oSyYUv5YgDylSzhBnxcJFg/S6ZFKUxC8svh+thKoYOzckOKxb37DolQAfzAURygzsGgYN26cIggpSW3ZsqXy1qRcvU+fPkrtR9DO+bHJ4oBjQQFG0NCuXTtFvA0ePFgGDRqkxipjB8sACD6Ur3jdEuRAuiY7jvhbeL2ixEbtyoMywX//+9/qtW7ykFm+gnRoHEr6/rxsjpgCxDGKTYItiFTuTdsIVA0CWpQ0EOOzZ8+O+X68Gh999FHVGZ0SZAcHP5KJNJI6++yz1ZroR3l9uj1Sk1kHmT9/L+d3JGqQ0KtNV/U8a8VvsjMnO+m/8+yzzypikmQi4xLv+2hgPj/zzDPV+1m3n3rqqYPec++99xay/eHBup5K1KlTR/r37y+bNm1Sex9tGxREAlWDJCLVGOzTWAtT+Z1KIxyJaiFcOX8xUKd16Hmj4eZSO9eFLAXKlhOp1lBKG1DVVMgon7Qvqr4Hstw9EAxUrS9SrZHIgf0iq6anhkRtc2xKDs3BX1CyyObwrbfeipm5R8kCqYKqDBVgKpAOIhXVIuQXgSnkWzpLnYuL8fNDavC+7ZIv1eKc0dEc2wLIxJEjR6rzWa9ePUWYDhkyRBGmqDMaN25sHWGaCAjqKEUlACO4g1TlgXqR8Ymy+bvvvlNkBKVwiXS3xYds1qxZyjtXPyD+aDLF63BfRN1casbSFDXnSxJcR5ox0fgGn1TUuqm4h1JJoIaTvlwzSKJ4GmPhTQtxjs2IazTlkE5wzwwdOlQRQVdeeaWyoPAbqSZSWQdJriS6Du7em1sQB9R2JGqg0LR2A6VIzdu3T6Yt/jWpv/Hee+/JLbfcIvfcc49SMHfu3FmtsSQYoyVtSc4+8sgjnjYRJD9ZV/SD5G6qQWKfCg3WGvaA2qYoiASqXt9Zg1HGU5Fz5513+vr5JQ2unN8yoNzbpUlUp8JLHClQojJZ/uUvfyl4nRS25W9YqjYUKVc6b7OsCpVkT95eVdJPB+JE4NTYAUTTI0V+/Vhk+RSRlv2SV3DjrQpaOxI1aCDAgkSFeIqlUCEDTrkhm2WUb6lEqkr7CYTZ7KKMIHPfrJndVQXMt7NXLFCve7ZKrMEb5CBBMupDyEJIJvxeaRYCeWozcZwOYhXVGA/sC1Cocl4gIxi3nA/ODQEe3q7RwD3A2Cs6NvGFLfrzLs07yH/HfiwzlpklUTW4JzlW7lECR0jVZJvhpINA1eAY8SbmOCm/9GoEwhyAIor3P/DAA3Lfffel9FgcHDSefvppRRihoiNxYirJlKrSfjzAk10Hs/MVjNh8IbBwCA4Yt71ad5GPpnwrM5bOkSNbdy6wa4sXTz75pPLhvOyyUL+EF154QVW0vPbaa3L77bcf9H7mZx4g0u81qOaI5cWbCvA5HA8VU6iwWceS/VyTBGr49+HzsRqi2dTRRx+tKokcEoebzSwDhFOBx1eCE5VDOIma70eaBAgWH3vsseIdhy7lr9FYSisqVciUrbuSay5VkEhwJGpw0LRHiERdEb1MJybWzhLJ3ihSoYpIE3OdxR0SB0QTCi+6D0O4eAFiCpUbJFOqS7BSRaRyjKgIIYB69+7tS5fW4mLe6sXKPqV6VlXVXTce4pTvR3kzBCqEIMEB5ed8Xz+6tNsOzgGkKQ8IBNSpnDOUj5CqNWvWVMQg5IQXoRoLWok6c/lvKplejioWw0AdTjkjpZeofCj1T7QpTjoJ1HCiCKUfHm+UGHvZgkC0oowiiOS7Uebv4JBKsLb97W9/UyXHEBSmE1DFIVJTsQ66Ph/xIbxBIsk6/k0iVz+T3AQrV65UAh9dxk5yizGmGzamet1uUa+JagiGr+2s5fOkZ+vOcf9fvgfz/x133FHwM45v4MCBqkS+OKBKomHDhup7MzZJ4Ddt2lTSAW0XAPHJ/d22bVvVnCmRPaUNBKoGe+8TTjhBFi1apDybqYyhqsghMTgS1TJozxHIo6CWxxmFLeX8W1eGnquX3klJ+6LqxEAiyM5xlhaBQ5P8TuCQqJR/JjN/6VL+ln1FMkqP8i3oYJNP6SKB2p/+9KeY70fRQqBAmVQ617lkiVSaDUHIoMaMRcrYhF/yVYydmh7q+T0hAiEBKfEkGCOopoQ7yGX5foBzQ/DDA28xxjCBLUEt1gcQ0Ki0IC2inUfsESKhbYPmSuFDAnHB2mXSrmFLsQEEqNxDEMaUM3KPQxzbQqBq0MwMxSyEL1YTqG2ige7LqKOwVeB7QZA7OKQClMjSvIWEIn6otiTfkiFSU7UOOhJV1DlkftIkafiD86yJUwARqslQ1hH9TKIaaE9nTa6SDOVvhP9/5m1NqurXPEiCsc4nUlWgSsBbHC7f/DJWfl46R7q37Bg3Ucsxc3xUboSDf0MqJgvG8htvvKHWYdYZqgrYT2LhlE6/ekjbohUaXmuNjQSqBoQzXs0cG/PVqFGj4vouDr/DnS3L4PxQU6RE3b5SJC9XJCNxZQgL0/LlywsmmaSyerqcv0Z6smJBKedPxhOVTYEr5w8gGnQO3W+7NotsWihSJ9QoJSkStbVTBwUJ//rXvxQx+vPPP8ck4SDvIJ0IylLRAT3VROrOnTuVQgIVHr5vQdpUzlw+Tz13zlc1hoNAhq6sbORplkQwQIkaQb4jTpMDQSmkKQ/GDWObEl4CVP3zeNWpKE/bN2ol05fMlgVrllpDogK+D77FNBfjPkKpzPixhUAFjGHI0QkTJqh5KFYJNeWl33//vVx88cXy9ddfO9W1Q7HB3vWPf/yjSqag7kKpZhMSIVJ3796t7vXq1asXex3cqRvFZlaW0oC9e/cqMp0Hay0P1gfWAkhMTWhCSteqVasQ4emlJOXv0vSQaxhp70TsCpnKtdPErH5wLDzjNwqhC5HHtWWfwzMPL2KVtWnsb1Nl++6dMn+t+fUJFaUG8z7nhPX2/ffflyuuuCKtn8250hUa7BW5P7z2sjYSqOHn7uqrr5abb75ZEdHY3DjEj+BEB6UEuvTZkUdJIqu2SIXKInuyQyX1WpmaAFiAUDUAFj6C8IThyvklKzNkR5FoOT++fnv3hZo+OF/gAAHlaMMuIssnh3xREyVRuWeX5Zf3OBI1MCAgu/vuu1UWO1ZzKIIJSgPZ8CY1r6aZSEVZAAlDcEl5cNDIRe2n2bnp7yQqgRMbeB5s9Gl0wvk3XWJa0kCZOI0uUPTin8r5xkMNb1GaVBF4xULLek0UibpkQ+q6aacK3At8D+4lyhkh5aORMH4TqBqQDyQGUMxC+HK8Xt/npZdeUoQwFiRe3nsODvGA8cTYM+2DWlwiNTs7W62DKLQhWYr7PXRlWUlUomrCVJOlvCZuhBTVBCVrAK/5WbrnP0haL8sViH6IVH3MzNWQfHwPFJz6mPWzJlYzymWo5OzE+dNl+pJf4yZR6XDP39BWBBr8O5V+phwvJfYLF/pThQrZDSkKkcq9gp1ApD2VzQQqIDlC5Qb+qLfddpsih7FacIgPjkS1DFq1l6hxs0M+WOxrNBFZ/1vSJGpK4Mr5C8aw9jdNNGudWb6CM6EPYnMpSNQVU0W6XZjY/106XmTfHpEazURqG7pvHRICm3DKgchgE5h5gU065AvqHAI5vxGLSCWoYDNMAo0SMRsD4FjJp7mrQgFEp2bt1LXB7wr1KYEMZJFXmblD6gJZVJo8IOVpyEIzCoI8mqhBKka7BnjPgcXr7SNRNQh88UYleET5VLTJjCkCNTy4hcDiXkbl5WU9AEmAPyqBI6WgzA8ODslg5syZqgM5Xqj47KabMEsXkQoByBrJ/JVsQ8ai2JmbXcjiK+iAhCRRxoNydeYc5nce+Er6QZgmC64neyEeupoAYhXxkCaCIThJAJIoY6ww51N+36VZO5my8BdZtXmdrN26QerXiL2Pg1hkLUD1f9ppp6mfsW7w7+uvvz5l34txy36HygK/ADnMWsi+VhOp4ZUnthOo4esgjaUgoC+66CLlj+pHw66SAMdQWIbde3LVc8XyyTcoKPWghF6RqKGSfCMoKOdPrhNmSYDeMOkxHS+y8/2TSsqGq1T6ompFabKl/I7oCQRuvPFGRTgSPHqBTTreg5SvoRYwhWhE6pYtW1RZFgSvbSWY8WLZxlVKwY+NyuoFy2TWpk3KjmbAgAFp9QhziA4Cp86dOyt1KqX++LXhncq/I5GpKFHB0vX5SVhLgUKNEkZIGAJtyGEbCFQNyFPmJYJbxr9XqSWE64MPPqiCb4gwFMUODokAL0rIhzPOOENOP/30QHjsRiJS01WJQYJPN5sNIti/QC5q4hRPcWxwIJqY3/2sqkkHuM7szXiEE6t8T76vbqIIOVzlQKasz90iM5bOlcFd4kuGsz/E3oK5FtIRpTZq58suu0z9/pJLLlFqXRpD6ftpzpw5Ba/xgIXYY25u3ToksPjLX/4iJ598skrikSi+5557FKl5/vnni5/gM6l+YN1jXwlhCoEeFAJVg/PIueO8Y0ny2WefuYR7HHAkqmXIySecnBK1GKiZ70O6ZZmZz8/dIbJ7q5R2JWpWheTK+Z0vcIDRPF/Js36uSPZGkcp14v+/C74PPbdxpfxBwBdffCGff/658kKN5SeIxzSKDQgN0xuzokQqZA+BJJ1Xvcp/bcdvK0Iq1DoVqynSFOVpcbrFO6QOqHEg5xlfBKSQdag+ICpQCQdJiarBcaO8IfmAsoj7ygYCVYNgmzmH4DtWaTWljJ988onqIP2f//zH1+N0CD4g4fGZhCiCvA8KwolU1JVYYKSjEiNv374C3+eggOvJ/KGJU+Y4yHHmcVSZfvi529JEkcS3bqK4dcFOmTpvhqxbs1bqShVp2qiJIpS99oA0WtuwYYOyfeJc0ozpm2++KWg2xf4w/P9DiuLBrfH444+rBxUDujEjvvqQfps2bVLjmJL0SZMmGaly4thZ9/DiHjdunPpeEL9BIVD19eacX3nllXLdddfJsGHDfFX1BhWORLUMu/eGyvkrBjRjZwUoBwamlKi6lL9iDZGKwZhAbSrn15YWmoR1CBAq1xY55DCRdbNFlvwocvjp8d8zG+aJlCkr0rJfuo/SoZhAuYkZPYoCFAReQN2CDyoKBFtK3DSROnbsWFVu3bFjxwIf7KCBBhKU3o2cOEb9+/AW7ZTC1sE+EGwxzlB6QVhAXqCahEylpK5F3VDSdf32TbIzJ1uqVLRb4cSxcx8ROEIyoMixgUDVQSGJhB9++EER13gBe12X1157TQX3Z555pkr2ODjEAxrJQfA88sgjao0LWoMySCfWC5SGqBBJJqYa+/aHSNQMy0lU1JeQcswXqOpJQqI2hSCLRRSWliaKVLesK7NdVq5fI4s3rJQNa9eruZ99IHNsNO9vSvejle9rYlSDv8O18MK7774rNoGxwXqj/biDRKBqkBig4St7e6rMjj322JgNJEs7Su+MYCl06XOl8nYEm4GELqHfstxwKX/pVaEWLeePtSCGw/kCBxwt+4aeF4+N//8s+iH03PgIkUrRPewc7ADKLTaMKG9iqTkoqUWBZ1uJI+QjpcgY6+OnlcgcZQPwmKVkbMSIEcrPLKNGaL5t3SA6WeRgBxhzqHuOO+44pRrGM5X7JONAWalZORR4rdi0RoIAxh73DkEkJZo2QfujYqOA53Es5eo//vEPufzyy9V84OAQC5QaDx06VM455xwZPHhw4EgTneTEYkSRY+vWyYoVqVfB5+U3ii1naY8D9gILFixQPp14PVM5AJlEgx0SrBDNpZlALZqcosEUpfW5FffLoEGDlLULRCrrGCQiZezsT0obSGazHpJIpNoE9W7QgIoWSxKuKWRq0PbFfsPNCpbhdwLJKVGLXc5vTInq/FDDlaRkoXP25iacSHBK1ICiRb6SFCVqvJg/4nc/VAfry/h5vPjiizFL/lCgkt22rcRRe6DSTZ0SMVQnEC1B2DBC/NJAYeTIkapEjpJqSjJXb12vft88X83oYD8I1lGB0YgGb7VRo0ZJtQoh9emmHfmWQBZDe6BCVFJOSRCJCsc22wEIUkhqkjpeQCmFSvj222/37fgcgosHHnhAjSnKXrVXY5BAskA3U6SUl3UERWqqiVRblaibN29W88J3330n69evVypcSEGIUwhx09ZDtuKwJm2VNcOarRtk447NqiKB8cO5g4yHRP3222/VWMJXtTRAe6BSmUFFBv6x3FsQ9EED4/+KK65QCYW33nrL9OFYDUeiWgZHoqawnH/HGpG8PUmpRP70pz+pB6+TLucvxX6oIKNchlTICPkGJUaiOiVqoNHiD6HGUBvmi+xYG/v9e3eLLMgnUdsNSfvhORQv6MB0/umnn45Zxo+vFSQLBItNKg4UaRCoBEwEj7q0PwhEKucUoo1yQ4IWiCvKDMGSDaF1p0W90r3uBBE09OB6QuhXzQyRqDPnz1bqHltRtIkUQSOEPqo2xqdNIImDKhX/Zi/osv433nhD2QA4OEQDY/+JJ56Qa6+9VpEmNq1x8QDVOL7gJA10klN7pKaaSM3TJGo58yQqcyp+mlj5sA9gXjj66KPVHqBx48YqmeXgjcqZlaTVISGx0uyVIS92QMKcPRV2KJxPEr6U6nOeUTnbvLcqDoo2kdL+olSZ8N2DpsrlOvbt21cpUak6Y9/pEBnBmvVLOJhgNNnkCKRigGY25StxQkW2Jd7llkX12WefVY+kGnPozyzlJCqoWD6zkLo0EV9gl0gIKCjHr98p9HpxHGrURaNF9mSH7peGXdJ+eA7Jgw0VpGgsw3nKHClnIqNdqVKozNwGoIpAHYBqKLyJlO1EKmoGFDM0yaEMnKAPrzatlFGBYX75d9PazsMqqCAAa9EwlARetmaFKo2kK7TtBKoGiiRIGBTo6SgLThY6qOWYUG97gXmBLtGurN/Baz6mjJ+GOajvglbGT8kx6yB+h/gxhysu00Gk7stPBpXF895wBQf2N5BeJIGPP/54tUehNN0hMXRoHFJez121MGKyr2bNmsryCcsaXtN0iQQwY8q2/VUqCdSizabY/waRSA0v60c4UZKuWSrhSFSLAIGqB6omnxySABsCXUpvoqRfq++q2dFgwSR0MiAnX10aD5wStQSgVf/Qs1aYemHOF6Hn9ieG7l0HK/Hll1/KV199FVcZPwQqG2eUHbYAQgTlDU0LICKLwlYiFRUAqjiCQMq+ae5Q9Pxv272jQO1Tt1otQ0fqkArUqRryhK5xSG1FUNK0iUDNFlVqNAI1vHyeBjuQMHQotgXc39h3EMzHCmjpTsx9dscdd/h2fA7BwUMPPaTWh4suuihwZfwkOFkH8SjHSiTSWp5qIrVcvkpXl/X7Ca4T3d/xO+W5U6dOqmEOyRIUdw7JoWW9JqoB9s6cXZ7+3TSkouoHMrVNmzaqUgF16tq1a63ZY6WaQA0nUhEdMM5oIskeLkhgfqCsf+rUqTJs2DDTh2MlHIlqEbQKlRJoSqEdioEaTZNuLsXEjlqBR1KTPDYCoKojUVlkwW5Xzl+60O7E0PNv33hbatBw4LfhodcdTvbn2BySUq7ccMMN8s9//jNmt05IP/zFOnfubI2nGKQJm1jUJ17dh20iUgl2tfoU8gdiioAkEjbu2KKeq1WqUmCh4hBM1KkWIlE3Z29TYxXLBsYjqtRYzZFME6gaEDQEjxCWWIDYAhIo3ONz5szxfB/B78svvyyvvvqq6r7u4KBBA6LHH39crrzyysCV8ZOIgRCB8IFM9FqfU0mk6nhWJ/r8AGs3RB0JSLya27dvr8rMmbds2ZcEGXiiHtqgpXo9Z9XC2O8vV075pUJg88zaAJlv0/qQSgI1/HszT0CgIi4IEnGsy/qpyvjzn/9sZVWMaQRn9i8F0CXPToWaAtTM90Xdmrg3165du1QQwIPXCWO7U6JqVCqvlajxkagsMI5ELQFo2lOkSj2RnK3eDaaWjhfZtTlkAdDsKD+P0CEBPPLII2o+ZDMVq8yRjSIBWjTCz28wp0BGQp5EU97YRqRq71OtPsW3zuu4dRMirWJ0CC5qV6mhnjduDxHjeI3ilUrwT/djU6rUeAlUDewmIC5oTkESxgZwD3Xp0kWRQiR6vIBq6pZbblGqVFtUwA5mwVpAMvGEE05QyrqglfGznpGco8w6HiIxVUSqbiiVR9LcB2zatEkp+CHqSJxA3MVaQx2SL+lfsHap7I3z2kIqogIeOHCgqlrAVoIE9/bt26WkEaga9FYhCY4vrG2NF+Mp6z/ttNOU4v7uu+82fTjWwZGoFkGXPDvyyKwStVjA2zE3fzGoWl9KOwqUqHGW87MQ5+WXPLj7IMBg06zVqHO/jP6+6fmdHzucIuLU91YCH7HHHntMeUTHUt3ghUgZf6ymU34C1RnJMMifeIMoU0QqAS5EVTzq03DQITecgHMILrIyKxXyBgfcdyZVqYkSqBotW7ZUQRhEqi2ljLqsn3ssVln/nXfeqRIaNJpycPj000/VfXD++ecXNGMKCiB9sNeAFE2kYW4qiNTfSdT0zgEQcRByeFBy3BB1zEFBUgsHCY1qHqKqX3L37pGl+Y0tE1E5sqZxjfANZU2D9LYl4ZYqAlWD78h+DjuDWAk824Bv8CWXXKKqM1g3HX6Hm1ksgi55duRRCqCbOiXRWColfqjls0Qyq0pphx7L8Zbza7KVLp7lHakWbByWX54/50vqyA7+/a5NIrM/C73uMdTfY3OIC5CHN954o1x66aWqPDdoZfx4oNEpnCAwUf8zv4lUPgf1aV5eXlzq00jl/HWqOj/UoCMzo4J6JjAtCq1KReXplyo1WQIVMH512TDBly2ljLqsf/bs2Z7vy8rKkqeeekpuu+022bIldI85lE6QiLvppptUU8XevXsnRESaxsaNG9UaBonDmE4UxSVS013OTwUMthsQcXw/VMIQdM7zNL1gXm/boIV6PX/NkqT+Bkli1gj2PKxleNcyL7MPKikEanjjRb4rlVFBalrIPcX1OeOMM+T66693lRlhcCSqRdAEkivnTwGqNSzsT+oXCkr567smOUy+CSpRw0v5bSFiHJJEi34iFauL7FwnsmjUwb+f8a5IXq5Ig04ijbqZOEKHGPjiiy+UsoNGGl5A0WVbGT9eWxwT5G+y3Xf9IFLZkPK3UWEkoj4Nx+adIVVi7apOiVpiSNQoXtKoqiiTR5VK4gJfOUgE2wjU8PJNxjREzsKFsb3z/AB7i65du8rKlSuV970XKGXk+991112+HZ+DffjHP/6hqiwgEmL5gttG/uKDipVN7dq1k/47xSFSEUWkq5wfda1OPlK2j2ouM9PF0H5Bk6iL1i0v1vVlr8U8iwcneze8bFkzSgqBqoEfLE0L2VfHqoSwCVgwnHfeebJkyRJ56638CkIHR6LaBO0b6ZSoKYD2I92+BjmVf5/rmkoVgk4IJEOiOgQckAFdLwi9HvNE4d+hSJiaXyLZfahLOFgIyqr+7//+Tx5++GGVQfcCJUpsLG0p4+fYKSGGbMLLtThIJ5FK+f6kSZOUgheFYbK+bbv2hErgKueXgjukD88//7xKFjDeeaBK+/rrr1P29zPLh0jUPXneARaq1H79+hWUQqa6vD8VBKoGSQEIGBq80OzFFnUNajUsSLyUNdyP//73v+X11193TaZKKWgm9eSTT8rQoUOtqrSIBYhF3VAR9XVxkSyRWsFDXZ8sSBxBDuvkbbIqW4fioWHNelKlYpa6tss2ri7236tevbpKEGLDwN6I+dm0KjVVBKpGhw4d1FhlfbWlOiPeZChl/X/9619dk6l8OBLVIuzSStR89Z5DCkjUvbtDzW38Lud3fqiFyNCcBMv5HYlaQtDnRpFyFUINpJZO+P3nU14R2TBPJLOaSOdzTB6hQ4xmUldccYXn+yBvKJuP1e3XL+C9CIGKFyMb8VQgHUTqjh07ZOzYsWpzivqCz0gWOjjNdFUsaUfjxo3VvUEARFkeZW6nnnpqzNLweFEho3zchAMlxZCcECSU96NMtY1ADSd9UX/ydxn7NkDPD7GafbRt21Zuvvlm12SqFFva6GZSVatWDcxxQ/pXqFBBqVBThWSIVEg2kJ2bRKNeD/Up35H515bkbWlEKkr6I/1NlI8DBgxQZN3o0aNVs7CSQKDq70eFVHZ2tvLsD1qTKdZN12QqBEeiWgRNNOkSaIdioHylUMdvrUb1m0TVJG4pR+JK1Hw1dnlHopYIVG8k0u2i0Ovv7g01Xtu6UuS7+0I/O/4ekYrB6nBbGsCmMZ5mUgQxKEHYVCVbMp9KcDx4L3LMqSZ1U0mk0qUVApWyULL7xfVu06XfmoBzSB9OPvlkGTJkiOreDrmG1QVjH9VMKpWo0cr5IwaxbdsqwhNLCIK+4ozNdBCoGpAdzBWo41BhmwbzBOW/KGRjNTTRTaZcKWPpwpdffqkUj0FrJsWYJsHZo0ePlDdWSpRI1RUSO3N2pVR9yndzpfvm0bp+SOW8eP2KlCorWVdRpbZo0UI1C/NblZoOAlWDPR/3EJ79yTZsM91katasWVLa4UhUi+A8UdPki7o9MXUG6g4aqfBI2DxeE7ZOiVpYiZpPjsZbluqUqCUIfW8SyagosnySyAtHi7x4jMienSJNjxTp4a1ydDADssxnnXVWzGZSbP4gHyBxbACeiygWCK5QeKYaxSVSeT/HSCBIWShlXakgen9XooYIOAf/VM/vvvuuUpRQ1p8KlJHQeEh0bEF4omjmnmR8JRNsppNA1aCEHjUfKl4bVJ0QQihsYimJufchzP/+979LTk58SWGH4N/ft99+u5x77rnSq1evwDSTQqm5aNEiRdKgRE0HEiFSK2dqJWrynddJYGj16dFHH60SMjZUvjiINK51iNp77MrdLWu3entMB0WVmk4CNZwkZo/NPRSUxoW6ydRJJ52kEoulHY5EtVCJ6gikNPiiJgAym2+88YZ6JJzldOX8haCtKfbuy1OPeBMJWZnuHigxqNVc5LLPRbJqi6z/LXSPVGskcvqzSIFMH51DEaDy+OCDD+T+++/3fB+m+JQiUSpoQ3CJ1yLqm2QaM/lBpBKQU15JcMv/pyw8VdD+mRUzXALWD6DAIABif3DNNdfIJ598ogjxVGDPvr2FGkwlAoI9vHW5Nynvp6mMTQSqDoq7deumiMhUWSAUFzR0Qx0eq5HJBRdcoJoLPffcc74dm4M5vPnmmypBQglrUErGIZpQpHMfp4v8SZRILU45P3MZCRcqTFDBkSC1pXmlQwjlypaTZnVC98ei9elRVWpVKtY1WpXKniqoBKoGlll491OdEasawhZAap955pmK0B43bpyUZpiPfBwK4PwgUwzd3ClBJWqxUECiunJ+HQhSSoTiBDVq+UoZcfkCu3ughKFZL5FrfhCZ8KxIk54ih50aajzlYB3+9re/ydVXXx2zEYVuJpVOwiVebN++XRFAeC7ivZhuaCKVzugAItlLFaMbXfEeSK5UB4G5+QnYCsW0BfALEM8ExxBp+kGppn4mOGLN4H26ezpBBupiziFrCgQm51E/6wf/TrdCibJegnrKZT/88ENVtUJzp1QQqXvzCfHySSYmUJ6hioXg55ggHerUqWMFgVq0lJHjYw6hW7FJ0JyLa0oCCcVTtPJnfk6jPcoZ8YqmCYpDyQRz0T333KM6UgelmRRzJ+sMlSH16/sj5NBEKvMzoDlitHL+RJWoeCfzd1lvUb858tRetKzXRHmiLlm/QvocekRaPoN7sHXr1qpygPVqwoQJKmmeSksHPwlUDSxu2Etw70IUp6OKKpVANMF5P+OMM5RSn4RtEObHdMCRqBZBlzy7cn6zSlQCN63gQLqe0ORQ4InqlKiAc8d4psyDJEHVSpXj80R1JGrJVKSe9Jjpo3DwAFlliI3XXnstrmZSEIKmN08QbpQvsxH1Uy0UL5EKwYtygmCTYDwdG2QthtWl4LZAr6WMFxRSPFB2QVBAknIuwglQHhBT/BzCivNJIIN6F/9Yfsbf5P9CGPC3KO3T5Kv22SSoYu3mb0Gq86CEPFXegBCVBHMA4pHx9/TTT8uLL75Y7L+9J78Mv3y55Alx7QnMucOrlddNmza1gkANv38geCFJUHf6FbBGA/MHcxpNpvS1jQQaDKFcffzxx+WBBx7w9Rgd/ANqY+YMPJCZu20H8yKKUOY6/Jr9RCwitXLF0L6fOCBvX55klItNPaAMR4FKMjdVtjcO6SVRAeX82Tm7pHK++jgd4L6EbCSRyX6VsZeKhJYJAhUwttkbQkZyDKwvtoP78owzzpArr7xS+UYzT5ZGOBLVEoSXOzsCyawnKkGfbpKyc+fO+Lsm5+4IPYAr5y8A41mRqPlqKS84NbaDg7kg7LbbbpO//OUvMYNGynAx+7ehUzGbTjLjJpp+xCJSIQ0hUCFoUAelKxDUqsV4LFPSCUhNTZZq4hRvTgISghxIOsaMVozG01ALxSokKoF5rPdDqGtFK8fCMVBmiioT4pXj0KQqx8MjFddEk7qpwJ78hlKZKWgSRqDDGEXhwjEWVZebIlA1mGeYR7C56NevX8ob4CQCPpv7F+IGwjmalyTj5dFHH5WBAwfKdddd55viz8E/MG/gf3vjjTfGrDKwyQeVhBKKTRPH60WkViqfqcQUWNZtyd4udavV8tyHMN+zrkMsRVK2OtgHSNP6NeoqEnXJhpVyeJP0+uSz52PdWrBggSIfqUIqThLdFIGqQeIYmxsajrIW16oV/R6xAayXRxxxhJx99tnKG5Vmm7YraNMBR6JapkJlYLoOu2aVqElDq1ArVBHJNE8u2AKtrNYEaVyeqPleqg4ODv7giy++UE2Pvv32W8/3UV4NORar6ZQf2Lx5syxZssQoARONSOXYUAFCnnop21KB8vnKnr35fpp+AWKO74lqCEKOBKQmKgkE8Pri335trvkcFKg8CEJ0AE5gTkJUE7uaWGXMUBoIEQYJEA+pe8cddyg1IkQb5abvvPOO8gaLdd8k6olaPkX7QL4XTXEYi5DM+JnZQKCGN5pi/BAMm+5+jj8dY5dj8VIDcT6PO+44pUR99tlnfT1Gh/TjscceU3P24MGDlUradpA0woqiS5cuRrvVRyNSWQ9rVakuq7esl807t0UlUZmfUNOuX79eralBOPcOv6NFvSaKRF20bnnaSVQ9rthfkZglEcd6zBqSaBLBNIGqwWfzffA0xlbGdlKyUaNGyi8aJerbb7+tbG5KGxyJagly89UHEKhByHoGSom6wy8SdV3+5zplQjiy8lWlunFaNBDouuZqDg7+g+CFbDKdp7UKP9o9SjMpAsx0df1N5JjZbLLpNF0KXJRIhZQikIRERIWabmjCbW8SHdkTBcpQglwaeUF+sV+BiKTkEhLKhiZjRcExEmjx0A29GMsQwHwP/H0hFPEOhVDlgU9mJPDdCRYgIVGyUioPgQqplgrsys1Jua1T7dq1VYCIKhrim3vcBgIVECiiIuLe4VhM38uMY2xNuG+jjQGAUhHl0M0335z2JImDf+C+fuqpp+Tee+9NWbM4P8r4mXuxPDGNaERqzcr5JGr21qhEMIp5vg82QV73noO9Jf0T50+XZRtXyb79+1TDKT/AutG3b1815rBPYl6Odx9iC4GqwVrCHBSEsv4y+TYE55xzjtx9991y7rnnGk3imIB9u91SCt1dN5mOrA4xSNTsDSKoO4rhMZaQErWKI1GTUaJCoBLghf8fBweH9IMsMirCP/7xj57vY3NHkyQ/iMF4y/htITA0kUo5FupYyLVYzblShQr5a1u6yvkpyadclAcdzCHhIE5R5KEWCmLil2OGXORBsIJSFUKV70jnX900DcVpeED/6quvpvW4tmRvU88ot1IJrhPjE4KQBAR+pKYJ1PBjY06xoawfJSpje968eUrZFw0QbBdccIFqPsT86VAyADkOCYhdgw12NbHAfLVlyxY5+uijxRZEIlJrVQk1fNy882ASleOHQCWJxT1nuwLPITLqV6+jBDDEeqs2r5Omdfwj9VmvId/xJ6e8n/FHRUqQCFTA2kdSMShl/fXq1VN+qKhR8YTHAqU0wdxOxSGyD1Z5R6KmDFm1Q8QpXTc0wZlOQNaCKvXS/1kBQqX80nxtWRGrqRT3QDzG8w4ODsUHiQs6Tt91112e6lLeh2KP8lvTakNdxs9m0yThEklNA0HF+aG0DFWNH8jIDzpTXc5P6TsqJ5SWNNxhw3zssccq3z2IRzb4QSRQIwFiGEKehhWU8VL2TnA/YsQIVQoPwaqTfL6QqJVDpEMqQaJEN/SCNLYJlGFybJTSmwYKciwfuIe9gPrmww8/VDYoDsEH9zhJklNPPdW4tUQiZfwk7GxTgGkilfWDe0knhSjnL0oCo0IniYKC0BGowQV7seZ1Q76kyzcm1oskFWD/2rt3b5UYpeEUHsFBIlAjlfWzn7QZZcqUkY4dO6omU9ig6OaepQX2RB+lHDl7dTm/I1FTBoLrqtoX1YcJfWc+iVq5dvo/K0CoWCE+JWpBU6nyrpTfwcEvfPrpp4pQueiiizzfR+dqSMFoXb79LuMnyLVp8wvhBtmGJyqKCFS7+G76QaRq+xMa+BUXEFkrV65USghUixw/gQYeXZCMcTdaDDAIxlBPobRFkYY6EbICQnX+/PlpDRS0UivVSlTtgYqXMUQxZCUNXGyBLuvnuPCuNU2oM8+RNPICSnNKGQkeHYIPyvh79uyp1NC2l5PbVsYfi0jN2ZZdML/pNXHZsmVqLWdOatOmTYlJyJVmaPXp8k3+k6iayCWpQLIf+xrsd4JEoGqw1yIZz7Hajlq1aqnEM4mcYcOGSWmCI1EtQSo7sjoYai6VvTH0XNm7s3VpQ6U4PVELSFTXVMrBwRcQzKBC/fOf/+ypQqWcm/JWFFqmlZ+6jF83yLEBKDbZsLNx1x3RKZ32i0itUTkUCND5OFlADHKNv/vuO3WO8Q4dNGiQKq8Masl+KkBJINcVz1OCMxqrcY5mzJih/NdSDa3UqplCErVoEym8XFHscJ1RdNsCXdYPseKH6tcLJGkIwEmOeOH222+XN998U1avNkMaOKRuDn/uuefkxBNPtMYixgskuhibqMBshiZSly5YLNk7s5V1HesU8w5rI4kqPKgd7AYepxt3bJEFa5fKz0vnyC/LfpPZKxeoJlI7c0IEOWhaO0Sirtm6ocCm0ARatGih/DqxicC7PUgEanhZP/cJlVe2o127dnLKKafIo48+ar16NpVwNbOWQE82NJZySCG0EjWB5lIoIs4666yC1wmTqFUciRqJRI1bieqaSjk4+IKRI0eqTdpVV13l+T7eQ5bZtOJFl/Gj9DRN5mpApEGgoqQJJ3aLNptCoZouIrJmVigY2LorcVIPghxFIiXJKC4hTfGELK2kaTRwPiAgeaCUxN6AkkHuCZILsfzXTJXzFyVQwwlLCAzGLvsc0wrzcPKSsmoUqSZLqitWrKgIXRrpcR9HA7YWJBv+9a9/OUVqgPHss8+q8YZViVdzRVvK+PFtZq62rYw/GpHau1dvGffBL4qMmzpruuRt3qUSObZ7PpZGbNq5VSbMmy4/L50t89YskflrlsjKzWs9k8FVKmZJk9oNpGOTQ2Vnzi6RPfvl1PPPlLlTZyrFMfPjTTfdFPG+Y95kzof0/M9//qPU4KkA1STsE/FJZf1j3Q4CgarBMTIn4RWO57HNVhd169aVE044Qd577z35+OOP5eyzz5bSAEeiWoLc/HL+TNdQJ7XQhKYutY9z8/zBBx8k74nqlKiRG0vFrUR1JKqDgx9AhYoRvFeJNlllSDYCNpPEGsfBZpJNpS0NP3Jzc1XzDNSnkKhF4ReRWqBELeI35wWUfgQUlKdDAKIWorGHQ2yg5EQlwlhE2fL999+rMYCPWXFJjQ3bQ6qT2lVrpI1A1cA7TjeAYQzYcP0JFPFGxEoChRrn2hRQJKI6JnnjRfbccccdyvbhzjvvVOS0Q7CAVzCl/Ndff33EedwmBKGMPyqR2qWHfDVhpPyU84tce8al7l6xaEz9tnqRfDJ1hIycNV7mrIru8VyxXAWpVqmKbN+xQ3bn7JYqNapKdu5uRZzOXbVIPTQq1M6QbkOPlZyPR0UkYCHcbrnlFnnhhRfUOsQ9SEKKihjGdyrQqFGjAiKVtaVv376BIFA1SMxT5YC1DPtHW1GmTBmVUMRPmrgCIVppSMTbIeVwkFxXzp8e6CZPCZCoSaOARDUfiNgEp0R1cLAPECdsLAkcY3mhQgyhTjQJNpFYDthSagkJOW3aNEXyUMoUDX6U9tesXD1uJSqfTykoxB+qXtQfBBY2EGhBA8QjhB/KaIgYlN2Qqnv37k3ej3ZzqAlm41r100qghpMbBGfMBXwHG4AimuDRdFk/8w1lobGaXUEA9OjRQ5555hnfjs0hdaCZFOsblh0mSftEyvixFgkaKpfNVITWlpzt1jW2K43Ymr1dnvvubel//wVy9AMXyb+/+W8BgdquYSu5tN8Z8sj5t8onf35eGs86IGeUO0KWPjtWZj4+XBY/P0YyRq6RqxoMkkVPjZJx974nb/7pMfnziVdIr9ZdVFXtHsmTSWtnixx1iLyw+Ev5zzdvqs/UePLJJ1UV1GWXXSYdOnRQZCpr6muvvZbS74kCFQKVtSQ7+3frgSCA+4U9Bglv28v6GzRoIEOGDFExA8nH0gCnRLUEe/I33a6xVJpI1OyDzaVTjuz8ToBOiVoIlfKVqKitWcSileHu3hNSqjoS1cEh/SBbfPXVV3sqrLhfKfOmXNlkVpnNI5tIyCpbstuUU+IjCoES65jSrUitGYcnKuQpfp6UJ3PcqCgp4bblfAYZKFsYB3QD5vxCTnN+UacmYjuxbttGZe1Urmw5aVizXtoJVA2OE1sKEisQ6ngOmwaqXr6H6bJ+Svohxzk/Xgom1Kjnn3++UlaVhuZrJQUkPB5//HF17UyOs3iwe/dute6ggvfyMLcRzIlb12xSJdZyQGT6zz+rn6t/O/iKZRtWyfMj35H3Jn5VIF6B9Dz2sKPklO7HSp9Du0vdar/vC9kvzJj8k9x16x0FP2NdQ32PHQy+0K3rN1OP4zv1lWuPu0Ce+fYtWbV5nWos/Naoj2WbZMtDnz4n//n2TfX7S/ucodYo5s1IfzNV0B6orGsQqHwmCS/TooBEQOVVEMr6y5QpozyaTz75ZBVfoCou6XBKVMuUqM4TNcXQhGYCSlQmWiYDHnFnrfJyRXLySymrOEVPOFhEdRCfkz/OI2HXnlBnaUeiOjikF7Nnz5Zvv/1WBfxeWLVqlXo2WTYIkUsTH5vK+AkIKbGCOIuXcEqnIrVO1VoFTYn27suLaDuA0hDlLA2jjj32WGnWrJkjUFMMyuPpfA/JQeA2evTomI2JwrFiU8i7HQI1o1yGLwSqBsQ+xAyBWroboSVS1o/dhEnVGl3aIXpiqVEJ/lGtvvLKK74dm0Px8c4776ixRndp7l+bQTUGyvFE7msbgCcmyaVj+x0tNavVkIqVKkrLDm2ULcGKFStMH16pwfptm+SO/z0uf7jnHHljzEeKQG3fqJU8cdEd8utjX8vr1z4qp/c4vhCBCjZu3KjslIoSj/wbL9OiqFKxstStVlua1mkoVx1zrmT+sF6G1O+p1K3bd++URz9/Sfrcd65kNK9+UNl+tL+ZDIo2keK+YW1mL0RCOUigAqt8+fLKWstmNGnSRDXnYx+RSjLcVjgS1bLGUpnlg5VdLImeqElBN5UqmyFSMTUNIUoKUNXocZ2Trzb1Lud3vsAODunE008/LRdccIEnOQqRAnGAR5zJJk4EWWzgw5s2mQQBBSQ0zQ8SbSaULiK1TtWaKgG7/8B+WbNl/UFE+KhRoxRhCnnKZtxWJUNJAOcZL88BAwYoPzbUxxAI8XSsXb4p1OGdBh1+EqiAexyFDqWPeNLZUtZPUEYwbBLMgSRNvJLqXPe//vWvam4tTd2JgwzmXxrenHTSSZ6WLDYAJTRzOWXPQQL3DepZEo6Q1Fphn1Nmr/qZI1Kjg3kE9TE2K8w97D0Ar/kZDcbisTshsUop/ZF/P1NeH/Oh5O3fJ/3b95QPb3pGRt01TC7sc6ryOU0lIFAB9jRl9ot0qtFSRt31lrxwxQPSsl4T2Zy9TWoMbCP/GPWKqsBINYoSqBqsyVhhUHVhe3l8JM9R9uQog21F2bJlFVFNWT9za0mH+ZodB4Xc/KY7ma6cPz1KVO1X6ocfqlP3HIRK5Suqcv4QURrZc8p5ojo4pB8o44YNGyYTJkzwfB9qADZrJsvtCCLYDLN5NEnkahC8oGKgZClZ1VI6Svs5N41qHiJLNqxUQQsBDOrTmTNnqsCLoIHgwcE/cE1QT0Oo4u3J/YSyEmIwlhJVB6B+EagaKFEhNn788Uel+rZhzHAO8e/dunWr57lLJ7hnOadYm+AhHA2nnXaa3HzzzTJ8+HBV0uhgN5iDIVoeeOAB68t7UaFSPRAkqwjuWRRpzEnac7tZnUayaN1yWbphlfRo1amgsV1pLO2HICVpxb4CQlQ/WLt5DvfWZj3RhOnYsWMLJWCZt2mIzAP/ev26SpUqsnjLKrnj/ccLGj51a3GY3Hnan6TPoUfEfZxcOxKv69atK/Rz/s36FgkkAmcsnVOwpunvcFqP4+SELv3lqeGvy5NfvirTVs6RgQ9dIi9d9ZD0btPV828Wl0DVwMaIcztlyhRlEUW1QRDAdcB+i+oMm5tMNW3aVFVmXHfddSrxY8M+Il1wJKolyM1Xorpy/jR5ou7dJZK7UyQztdm2g5Sozg81ekn/Lu/mUtoTNSszGAuag0MQgWk/QU2XLl1iqlBNqxYpmycosGETxqabYI9jIZgtDtJBpDauXb+ARGXjCoEK0XvMMccUu2O8Q/KgUU2/fv3U/UTHeRTVEIORkgKL169Uz01rN/SdQNUg6ITs5e8xTk0RlxoEuJTJo+YlKDapRoVc5tpBUEQC5ZbXXHON/Oc//3EkagDAdaKMH3WnzdYmeC1Tfkzjq6AAEpD1Em/j8Dnpd4XiGsnbl6fsCUo6kaqszHJyFKkMacozD8hSiE4emvSEKAsnRHnosckehATNCSecoOYaSFVNuOpn/diydYu8NeUL+ey30VjQStXMynLj0RfJOb2HJDynQ9KytpDMIlEE+Gz+Ha0xaZP8xogbtm+WA0WWOioTbzv1ann3yddkV/tK6j1n/et6uefMGzz/ZioI1HCva9TdEKlY8ASlOof+BOwjOP5EK6H8Qvny5VVVS+/evVWzMJJUJRWORLUEe/K9Il05f4pRobJI+Uoie3eH1KLpIlF3hilRHQ6CLtHPyVdcF8W+/fsKfueUqA4O6VN2Pvfcc8r0PVbQhg9hccnC4oCAgYx79+7djQe4BEEoaghoUqUASDWR2rhWKFCdPPMnqbqljFKfYtdg+tw5RFalUvJWNJj9raAzcksjBKoGfwfygwATAjgaaegngUlzJ4gkSBdTZDgEx+LFiz1Lqv/4xz/Kgw8+qIJ520vESzNINH366afyzDPPKOWUrWDtIYFAQjMoyTD2GVRskMTj3i1qPVOlYpbszNmlGg81q9uoRBKpnAOqQJjrUVeiOkXdzzzC9+W88Lo4TfxYV0gyFVVScl7vee1umbzwF/XvkzofLVcfdbbInn3KWgHlK4Qt6xEP1I2x9gn451966aVqP4aV0VNPPaX+zmWXXaZ+f8kll6gEs95bli+bIbu37ZRtu3fKnnL71f2Gtz2fy1gGt//pFrn0isvk6JvOkp83zpe7P3hK8lpUkqFDh6aVQAV8X/ZIVGRxXCQOg7BXYs/ANcNyhz2ErWjZsqVK4D/77LNy1113BWbuShTm6+McCnmiOiVqisGkWDlfjbqzsFdcepSojkSNhIrlQxNoNCWq9kplEavoLC0cHNICmkmxmT/99NM93wdRAIFKRtkUUO7pgMM02LDu2LFDZddTaSuQSo/UOpVDhNy6HZtUB1cCmiAEBaVRlQq5jZpk+fLlBb9DlTV/zVL1mmYfpghUDYJ8gmvIkHh899IJlFAcD2SSyaZXBIY0yfHyPKVRyllnnSXPP/+8r8fmkBhefvllRdxBCJlc52IBAo6Epi2e4LHA/UkVBPcIJE/RNYh/U9IPlm0MNa4EmkgNskcqalDmdJJPX3/9tfouAAsQmu1AKjFXcy0hmItDoEbDlIW/yHH/uFQRqJDVeJC+cu3D0qNzN7V/ocwaJSuKRo6XY/3mm29Ukhj/2nALgXCce+658vjjj8vdd9+tqpggHvl/2gaD7816pMHfeuiu++XFF1+UzTnb1f9lPFx55ZWF/+Yj/5TZb42R3T+F/MAzDqst/x49LOF5PhECVQP1KecEshurlqCAa7dy5UqlpLUVVatWVftQSPOPPvpISiociWoB2KD+3liqZLL1RlGlTmGiM52eqLqRlUMhaHVpNCXqrnxyFbLVBu9DB4eSCDa0bGK9gkZIVgI3SmhNgXI0rfgyTQTSfIANNsE2ZE6qkQoilYBl94bQhnrHgRzjykGH2KpUxhPXmyZlXHOsGHLz9qi1UpMMpghUwH1HsExQHaszvR9gPmJeCA/U/QZED3MAqiovXHvttfLmm2+q5i8O9iEvL09eeeUV1fzN5DoXrwoVVbjNRG84WLfZP0CIRiuRbl43NL/hixqOIBKpkMUcKxUlJKmxICJZ1rdvX2W/AIEK0ZgOwrQoPpr8jZz11PWyeedW6dikrYz825vKg7QomMNI5KG+xM6CtQilIL67EKMoglHQFk2eUWZPEgnylfdwrTRGjx4tb7zxRsG/mzdvLjPGT5V77rlHXnnnDTWWefC+on9z+bJlsm3qcnn0gr+qdee10R/KY1++klYCVYO9Et+DRDnfOQhgz4jIgetlM1q1aqXuAeKOkgrHVlgANs4amU6Jmj5f1DiVqCz8dJbjEbdPivNELZYS1TWVcnBIL9joo44IVwJEAkEAaiqTfktsaDmGmjVriulgG4UGZbmJbs79IFJ5HwEEJeLH9uynfjZ/zWKjaj2H+MD4RpVK4DZp0iT5dfl89fNDG7SMmUhMN4GqQeBPoA2JipefSXAskM+QSqaUsQT4qFEhirzuMYJ5lODvv/++r8fnEB+++uordf1QBqZzXk/Fmg1JByEVBKxfv14RO5ByXs16dJKIruw7c7IDSaSiDqY0HuIU2yGIUggjGhUxT0Gk+pkAfubbt+S61+9VgqwTuw6QT//yojSv2zjm/+MYUcXSvPPYY49V6kHuCc7/iBEj1P6CxHpxLIa4ztEENOG4tN8Z8sj5t6rXT371qrwx5qO0EqjhJfKoZFlTbVZ3hoPECvY2JPltRf369dWYQu3Mul0S4UhUC6BVqBnlykm5ssEwNw4UNLEZJ4lKZopNFo+4FT1aiepI1IjQ5KhuHlUU+ueORHVwSA9effVVpTrw8n8jYENpYFKdQ3BCaRglS6bBBh3Vhh+llIkSqRC8lFoTaKJ66XX4EVK2TFnZkr1dNWpwsB+UukGkEsh+N/GHuEr5/SJQwwNMxj9Evemyfj13hdsg+A38GvEC3LJlS9T3cD1pMFWSFThBBs1OBg0apAhxW8FarH11g9D0hnV72rRpymcSGxAvVK6YJY1qhcrAtYVJEIhU1mSI4okTJ8oPP/wge/bsUccJGY/Pp4ku7xzT41++Ig9+8qz693XHXyQvX/UPqZxkg17WJPZeWkVLAyz8qFlzvOa8SKhaqbLUrFxNHSM+rfEAIvUvJ4US/Xe996SyJ0gngapB0ov5AMKP62o74CZYl01b3HiBZDBe/9wfJXUtdCSqRU2lKjgvyPQqUTXRmQ64xlJxNZaKqkTdG/p5liNRHRzSEpBBol599dUxCRrKBk36kKJkgajAU8kkaK7FBj2Sr5tpIpUyYTqFU2oNCUcAQQJKl0n+tnqRL8frUHxwvxGIr9oVqmZpVqOBNQSqBsoqxiKKK9NBGRYfBM8kEUwpYpmfmBu8cPHFFysSCLWagz0gSUgHcO0bbSsYX8wNjRvHVhOaBusQ5d0kOeJt0tW2QShRO3/Nkoi/t4lI1eTpmDFj1PxLYgmSkXkYFadJy6FHP39RkajgztOulb+fcX1KLNH4GygJe/Xqpe4VxiKWBTRigliNF01qh9aplZvit2H584lXyOk9jpe8/fvk6lfuipgUTiWBqkHCgn2nDT7g8QDiHq9+xqataNasmdqjYm+DHU9JgyNRLUDO3hCJmlnekahpgSY2NdGZDuhyfu2/6pCQJ+rv5fzOE9jBIdVg8092HfWNF9iUUjpoKihgc46fGqSNSUDQoLzTm2o/EYtIRQ3C9UTt07t370JdTykFB/NWRw5MHSKDjsI0mOBaU2Z/2mmnKUsJv8A1nrchRMplbM9Tlhq2EKg6oCaZgDew6bJ+vjuKL0rqTYE5El9UL8US5byMo2HDhvl6bA7eeOeddxQxhGLSVoUnpCQJCxSBpj3B4wGNpLgnKQmPF23qhywKVm5eK9k5u6wlUllvIQ5R2UK6H3/88eq62OA7/sLId+Spr0M+pPed9X9y4+BL0/I5qFO5X/juzGs0RYRoRH0cC43zSdQVCZCojPnHL7xdjZE1WzfIn4f9o9A+KB0Eqv5c7Gsg+2zwAY8FiG3K+m1Wo2ZlZUmfPn3UuKG6t6TBkagWoKCplFOiptkTNT4SlVItAlkevI7vPzlPVC84T1QHB3N4++235fzzz/dsbkBGm4ABlZUpsBnESsBEWVxRNSzkpKmOyNGIVNSxBHRsnCm1K6o4ObRhSN0zd3VwOs3aAEjp6667TnmT4gMHiUHAGPf6X0wsXLdMtu3aIZXKZ8rZg05T4y+8W7BJAlUD9RXKFzyCTap0CHRRoxLkmiq7JHDnfMQidi666CJF2gVB1VQawDwKqQ0xZ3KdiwXufRI6uvO5zcDTmcRnohUb1bOqSv0addU1WbBuWdT3mSJS2Q9R2o36Em92lKdt2rSxhnj/YNLXcu+H/1av/3ban+Tqgeen/TOxNtLeqRB4WBpwXbwUhlqJum77JsnNF4zFA6+UTfoAAQAASURBVCwfXrrqISlfLkO+mzlOPps2Mq0EqgbfyxYf8HgTeuxXVq5cKbaiSZMmqokfcUhJgyNRrSrnd02l0lvOH7/knXLJuDur7skW2Zv/XlfOH1OJGilj5khUB4f0gKYAH374oVx44YUxyxzp2BqubPQTlCShRCVQMQmISs6Fn2X88RCpNBGA5COIiUbudmraTj3PWGp311bbQEfioUOHqnMLOU2XYXw3IS79wLTFv6rnzs07yCF166kAESUaalgbCFQNyHtguqwfYgViw6RaiOCVecJLAQTxAsEwduxYX4/NITIgfLhmlJeabloYDYyXRYsWqUSB7SpUkhgzZsxQvofJJD7bNgipURdE8EU1RaRCSPE5dJFnLwRhyLWAXLMFkxf+Ije/+aB6/cdjzpPrB13s6+dzrbt06aKIsdzcXOWZSuIP26iiqFapitTIqqYSSau3xOeLqoE/+E1DLlOv73zvCZkyY1paCVQN5gZbfMBjAVKfiinI5Ujn3wY0aNBAXTOUqIn66toOR6JagFynRPWpsVSayvl35U8K5cqLVKiSns8IODQ5mrdvn+zdd7CXmSNRHRzSgy+//FJ5W3Xv3j3qe9goksmO188sHYCYQemG2sGGMn5K2ExDE6lcG5pZEKx6dWru1iJUTvnb6sVRSyQdYkMrUGI1SEkVpi2eqZ67tzxcPaNy5LqjSKNs0gYCFaB8RqXDcSXii5cOQGxge2BKjcr1INHupVaCeDnvvPNKpAIniOA6QKCSqLOVoGRM16lTx7e5pzjA75e5KllVr/ZFXbZxlezMyTZOpKKoHTVqlLqv8QEloWa6KqYotuzeLte89nflF3pyt2Pl3rNuNDaWUUv37NlTEWScOyo6IpFkjWvXL7BuSBQ3DLpEDm3YUjbv3CrPjXw77QRqeMKQfXEQyvq5/1ibsZixEeXz1b3YYCDoKElwJKoFyM33iXSeqGlWou7eIrIvRFinFPxdUKkmtWap//slAJRklCtbLqov6q5c11jKwSFdgSMqVK+N9saNG9XvCd5MAEKGhxdBWBrK+KMpiVEYYMWwfft2T+Ub5ZENa9aT/Qf2y4xlTo2aDAicbrrpJkViQlr7gSkL80nUFh0LfkYgz7GgNOG62wK8zUh2mFbpQN6gGEJZaALcjyj3Y5VRMvd+8MEHJbKpRpDAHIq1AqSPrc2aOEaUdnQJtx0o5CHOIBqTJfFqVq4ujWrVV2va7JWxyap0EamoT5nP8D0lgYpnrg1J1KKgHP6Fnz+WjTu2SIdGreWpS+9KSROp4gLCn+QEnrHYH2DLFK6KbJKEL6oGFbqX9zhNvf5+yTTZttcfix3W3aCU9XP/MWfgE26rN2rjxo0VAV7SPMLN330OBZ6orpw/TYDczCfwJHtDeklUh6iTvG4aFckXNTs3pJrKyrQr6+vgEGRQmv7111/HLOUnIGGTY0rRwOaPbLpJFermzZutKOMvekx0Pe7YsaP0798/arOpcHRrESL+pi+d7eORlhzgjco5fvfdd335vFWb1ylP1LJlykrvtl3Vz3QJP+rxvn37qvLecI9U09Bl/aZVOgSOKPdMkbnMmZCoXvcjpA/JqeHDh/t6bA6RmytyP9lIkAHGEkk8yEKbwXmEyGRdKq5Ss2OT0Fwya8X8uAigVBOpWn1KkuOYY45R3cRtWf+L4vGvXpGl29ao8vjXr/2nVLYoXoLMpSEo9xfWTNxvulqhca2QEpUmUZrviBeUqdeTqtKrVWfZu2+vPDX8dfEzUReUsn72zyRe2TPaiHr16qkGU1RUYZVUUuBIVAuQu9eV86cVZOo0wbkrDROMI1ETai6Vs6ewEpWN0658YtWRqA4OqQMKKLLpXspKStghbUypcwheKEMyqb5RSpjZs5XCzpYAmwCEDSdlywR20ZpNFUW35qGS/umLg0ui8t1QsjA28VwDvOZn6VRaXH/99cr+goYZft0PY+ZOUc9dm3dQzVaKeqBSuoiCA39UCENbAmYUaJCoJhWW2JRAeHDOTECTXfgVRwPHRxKrpClwggbOPyXapqsdooF5jWQi66CtJF54GT8q8FTMkZT0IyDasnObrIrTMzMVRCrrCX6u4epT20r3wzHut2ny4qhQYo/O9c3qNBQbQaWCVqWOGzdOkaD4ovKAiFyzJf7eJLqJFPueO0//k/rZB5O/lvXbNolfgBjm3jTtAx5PZQT7ROYQG1G2bFlV2cN9S0VASUH0Vr0OvsE1lvIBWbVEsjemh0TVnqhZjkT1gvY71YSpBuX9OsvnyvkdHFJbyk+H6FjddbOysnzxmYoE1J+1a9dW/lqmgBpl586dKpCyARBTKFDx7mvRIuQbBzSRSskcYFNaNODu0SpUEj554Qw1r9pQ7hcJkKMQxZSq83158DP9umiThO+++049830rVqyoFFs86wfkN8oRxnKiJARB0g033CCffPKJaigSfs7TjTFzJ6vn/h2OjNpEiu/Vu3dvmTBhghoDqDpsKOGEzCC47NSpk5Fj4DpzrQgcCdpNfL5Wo3pdE0hUVHv4Bdra0KgkA0uUjz76SO6++24j4yTeqhGO01argaJl/Kg2U0H2YmN3aIOWMmvFPPl1+fwC1WK8RCrrJEjEl5XzzP+jZBtinTXDZmzfvVNu/O/9ap3q16SrDOrUV2yGVqWS5MLTm3W+QfW66ntQ0t+sbqO4CVTtgdqzWmfp3rKjTFs8S14b/YHcfuo1vn0XqpMghFmTIYltBWvh999/rxSpNo7pxo0bq3uWhNZtt91mfbIoHti5uy5lyM0nUTPzlXoOaUClWoVVozEmTUonecQVgDolalyomF/OX9QTVZOqKFUzyrm8joNDKrB69WqlZDz77LM93wcBYKqUH5IPdZ1JD1ICEzy8KFG2oQMv5OGUKVNUCTAkalHEUqR2ad5BKmdmyebsbTJnlR0l4HwnSvxQUxK8Qoh+8803StGkG1FAFKKkgJBDyTJo0CA54YQTZODAgQWdzgcPHqyCd0hGVMOcIxQYEOCoIgkgsK+AZEZZjMI5nsZDlPCzsUchAZlPYoEHwXa6x/+Pc6eq1x3rtYpIoIaTlqg/UU7xfW0AjSJIgmRn++NTFwmMGTzrTDW6Yu5krkXZFg3MLZCon3/+ua/H5hAC8w33D0kyEi42AssOxjLzWRDK+FN5Hg9vGirpn7dmsfL9jBfJKFIpd6bUHDKMddRGsqkoHvnsBVm9Zb00r9tYzmp3jAQFnGPiaPYo65etVuNnRRzNpYoSqBrXDDxfPQ8b91nEBsXpLuufPn261WX9jOVDDjnEmoqVoiCByN6OuY5rXBJg72xdiqAXDadETSO0SjQOJSolHahR4ob+m45E9YRWmRb1RNVdpCtl2rm5dXAIIihLRr3mpZBC+Qe5ZUpJBslF0GhSWUfwBclnQ5knwQYBIc9dunSJSmx7KVJp4oe35shZ42Xs3KlyeL7nnN9gbKFY0g8IahTHkBmUrBKYxENaF3yv8uXVAwVqNMsFriPKVk2qoZKEmOQzUcXwiPR/n3/+efU8YMCAQj9//fXXZejQoZIuzFwxT5HdlStUktx1O+TIHj0jEqgaqK34fhDRBCOmSX8CXEhEAiLIXxPgHDRt2lQFZiaOAaKAPSOku5eK8NRTT5UvvvhCLr30Ul+Pz0HUeYdss1WFinKMdRhy0mbQeJF5O9Vq2UY1D5FaVWqoDuyzV84v8PVOtSIVL8aZM2cqixxUe0FQwk1f8qu8PuYj9fqRc/8i2xbFZ3lgC5ifSV4c+KmMTBn7sezft08RoOxTEiFQwaDO/aR21ZqqsdboOZPluI5/8LWsnzmeqgcSuLaCvRVJeI7XtoRMmfwGWNyvzMkkYYMOp0S1ANpoOdORqOlXoqbTExXLAIeoyKoQ8hvKzi2s7inwQ83/vYODQ/GB6unkk0+OSWJCMJlSY7BZNhnMQLqxaccTjdI+04AIwl+RDtKxjsdLkdr30O7q+cd5IZWjX6DLMSoISt++/fZbFXCg7KShwPHHH68aJaGuJfBNBwHIOUPtACEOCU2pJgpWyBPOK16nqFVRHoerJzl3kR7pJFDBt7+MVc/tajWLSaBqQABwv6JItaETL8EaY9BkB2PmENSg8aiO01nS74VTTjlFqa9NesiWRqAcI2CHoESlZSNQc5NItFkVifodEjKShUxxwd/r1iLfy3vJ7ITVfrEUqfw91kgerK1B8J3Vx337/x5X8/zZvYbIHw41k6gqLjjXvY84Ulo0aSbLV6yQSTOmRly7vAhUAPF6Zo9B6vX7E/1t1EdV6mGHHaYSs+xzbAWJalTirIc2on79+qqipqRUZTgS1QJoWborZU4jsuIv508Yrpw/LlSuGNogZueGlKcau/JJ1SynRHVwSAkgiCCLCNy9APnRsKGZBgUo6lALJuJllmqwYYfMs8GHDrUmQQRBXrwNLqIRqX3bhUjUSQtmJNwNNxlQkk+pG8QpgTakJeQlyk4IatRLpoJWziUkG6ps7ABQP0AI0JEZJS/BhqkSvc+mjlTPZx51QlwEKuA8QkajXoMMNg2IH0hrk8cCUQ95nopu3clAk/RewTVqfxJWCVU5ORQbqLIg1yHZbGwcxNwDiWpDJUQsFSqK73Q1XjyscRtl+bUle7ssXp/4fRyNSNX2OKyvqPdt8JOOF59M/U5mLv9NqlTMkrvPuF6CDNatzq0PU/u9ybOnKyufcCI1FoGqceaRg9Xz97MnHGQNl24wxqg8WLjQDpukaOcZWxDmFBtRq1Yt6dGjh0yaNMmzIWNQ4EhUC5CXT6JGk7c7pACa4IxDiQoBwWTJIy6vL9dYKi5UzqxUqHy/qBIVHz8HB4fiY+TIkYoYRCUWDQSWNLMgM2wCbPIgcCtUqGDk8yE8UBWg7DOtStmxY4dSFpKhT7TxTCQitV3DVlK3Wi1lnUKDqXSAz4GA/PHHHxUZiQq0b9++ygMN0tJGwgLCnDEHUQ3JyxrPOeN+ITDy8rVMNSbMmiqLN6yQjLIZclbfExP+HhAG3EOQ1qaB5ydegxs3bjR2DASOBOEm1LkQS5DJXkEhcwxJLVSRDv6B800CxYZEWSRA7qFys5ncI0nGcXKfpwvY2XVu2k69/mnJr0n9jaJEKvM5Zf7sdSBQ00UApwMQhP/47AX1+sbBl6r1POhoUa+J2hdUa1BL2VfMmDFDzdfxEqigU9NDpX71ukp8M3H+z+InmMNJwlIxZHNFAUS1btppG8qWLavOIare4cP9VROnA45EtQB79oWy1+VdOX/6lahxlvMTDMQdEDglalzQJOlB5fxaiZrvmerg4FD8wJGA3YscZBOLgstECSHqEIIciA9TgDTj+5sOXgn0UMqgREpWlVuUSOW6Dzw85Bf2TX7JeCrB2KE5B2oSFJQ0gYIAtrlzbVFQ8gYpQOMqSlQhhCFTsSNItzKV6zTs+4/V637te0i1SokH9xACKFLx+DPVVEmDRAg+cTTzMmUxADmODy9krgmQjMIzzwvMyZQx2mDDUFrA+aaU31SyMBZIhKDwNJ3I8wIqc0rg050YoykiJMvyjatl/bZNxSJSIehYo5jLIdFN+0cnCponrdq8VhrUqCtXHnOulAQ0q9tIjfNtOTul0xFd1FyNxQ5rbjwEKlB7m45Hqdcjfw15wvutpGTPSJNMW8F6zHpoqxq1fv36yr+8JJT0OxLVAjglqg9w5fzGQUmKLucPDyJ+L+e3T7nk4BBUD7hYpfwE/KYCS0gkNnr4N5kAKgLUBDaoUAlQORccS3FQlEgd1Kmv+vk3M8amjLSBrJswYYJSzVLCDAEJeRa0ADUcBO0EHKhoIYLxcaXUH4/LdJBdXB+aXc3dFlKQDunSP+m/RTDH+cdKgcSESdC9ePfu3er7mQBKaNSGpgJH5lLUel5jBpU29xAEj0P6ATkD2QGpZmOCh/uFhJTJZGIscHz4HeNlnW6QTGpbv4V6PWXRL0n/Hao5SDJh20JiMmjrExY8z303TL2+achlJUZgwveAFAZrd2xUHsVcI64XCe140b/9kQV2RSaAkpIKEI7dVjCn6KaptqFevXpqr4X9k82K3njgSFQLAt68/EHuPFHtKOdPGI5ETaicn/Ee7mWza49WojoS1cGhuEDVSKk6hJrXukPAb7KUH+WlKQKTMn4UK6gKTIJqBzbjXbt2Tcm5CCdSa+/PkorlM2XVlnXy64r5xfq7bHQhTmkYBRkBeUpQbUMzrlSB84+qlmZUfDdUlSiZUqls1ARqzab1ZO6aRZJRtpwMLgaJClDTQgQzpk2CTsDYh+CdaMpjljkFRbGJxh96LvEaL5mZmcqX15X0+wPOM2ptCH7TyTKvhlI2Wp8AEgIk+ZgP/SIij2zdWT3/tnqxbNqZuMJee6BqyxOqJUx5JSeLDyYNl9Vb1ssh1evIub0Ts3qxHc3rhmw1xs+YohKVqIQhI7FgiDdp2aNVR/U8d9Ui2bE7Dsu9FAPCF3IeGwJbgUCB5LyppKYXuDdRouKVH3SPcEeiGkbe/n2FPGEc7Cjnjxt7d4ce6jMcieoFkgQE9UVL+rUStXJFOzeSDg5BCxyHDBmiSI1owAsVAoxNjN9gwwzRYKqhFCW/BK80PDJdxv/zzz8rVUMqvdo0kbpl42bp1ri9+tnXSZb0E9QQ6KDMBMcee6zysjLlY+sHICRRcUAUo1BFeQuhWlxFhyZQCR7GLP5J/eyYw3tLnao1i328kPAoq/EuNAnOG+cpVll7ukA5KA/GrN+ApENZFW9Jv0P6wXnu0qWLlaX8zK0k0GxWoZKQYL2klN8v1KteW9rUb67Oz6QFiXle8n9I9rG2QqBy3SM1m7IZfIcXRv5Pvb5m4PkFMVNJAb6oJI9nL50nvXr1Usls9iv4SVNBEw/q16grTWo3kP0H9svPS2eLCZAwZK43baUTq8GUDZ7pkUDCGgI96GuhI1ENY29Y51xUCQ4+lPOnskRvd/4EyrXLjO3nUtpRuaCkf/dBjaWcEtXBofgYMWKEUjvFU8pvQp0DmcTGGVWWCUCgohozXd6JwgcFUjoCVE2kHlYrVBr5+U8jEy5NR32KogclD0QEii5bFVPpAEkGVJ40JCHoQzGRrCo1nECtd0g9+XDy1+rn5/QakpJjZSyjFoOUN1m+B6FLUzEsEUwBmwnIH1t9UfEPxn6BRJZDekvlaXrXqVMnqVOnjtgGSuRpeGTakzsaUJOjKifZ6HfFQe+2XQuUhpt3bktoTSVJCzmnlbNFm03ZjvHzp8uCtUuVvdmFfU6VkoatazfKrh3ZUr9hA9m5PxT7sa/AE5XkFw2m4kGn/CZkKJZNgGNmrWPM2QrWQvYuzDO2oX79+kpAQLwSZDgS1TD2hvmh2lhuUmKgS+3354nk7kjd39XK1oo1SP2k7u+W8JL+7JzsgvGfuzc0wWdllgzfHwcHU6AbJ2TNgAEDor4HMs2kH6rJzyYwxCfPT2WNVxk/5GS61n2I1OtOHyrly2bIwrXLZOby+BshrFq1SqlPCZ6POeYYpcgsrUDZiF8qymmtSk2kXD2cQEV9MWH+dFWqWT2rqhzXsU/KjhMSFRLTdMML1C+ocyCJTIC5BYLSREk/hNiuXbs8vfJ4D/7HY8emvuGbw++YNGmSSpbRNM5G2xHWQZTLNh6bTjayNpmoGKGMvXX9ZgmpUSFIOWYI06KVEkEiUl8f/aF6PuvIwUk1HLQZlL8vX7Zc+nbrpZLoS9avKLRf6dGjh1KjxpNgatsglCCev2aJmAJrLmsdKlobQdNYrAfwNbbx2Lp27aoSriYqR1IFR6LaQqK6Uv70okKWSEbFuEr6CURQ3fDgdVx+qK6UPzESNV+Jqkv5y5UtJ5kZJbdE1MHBD+BZCUFIg5VoIMBHZUhg4TcoDaTkmODRBFCoMaebLO9MVxl/JNSvc4gc1zHkjfvS8LdjqlH5PSQhwaZWn5pSDNsExoxWpRKQTJw4UY3lRAlU8O6EL9Xzqd0HSmb51K15uqyfoMRkWT8EBvMP9gImQDBuKnDEQgUvOvymvUCSK+hecLaD88v9YGKdsz2ZGAusAwsXLlQlyzFjoDShd5uQGnXOqoWyYbt3zEaFAGsW61W0NTUIRCoesN/mW+9c1v9MKWkEKipTFKeHNz9U/WzRusKl5ijGsQuiAoZklBfaNmiunlHtmlzr8FtesGCB2Ip4qiNMoEyZMtK0aVOV5MJ7PqhwJKpFSlQHn9SouzfHlOlPnTpVPWKWL7qmUgmhSsXKEUlUyFWnxHZwKH7g6KVC1SpIFDomFDCQCyj7TJWFQzBBMpuca9JZxh8J5+Q3pvh+3iT5ZebMqEQqyr3JkyerDTdkYWlWn8ZSpVIqipIQ5XciBCpkwBfTQ/6yF/zhlJQfX3hZv6nmToCxjZo5HqI5HYjHmzRdgKxhjvWCI1HTD84v94KNpfxYDTB3mEomxgL3DvOHyTUA38s2DULeqD/+NtXzXEK6kZSMZY1gO5H6+bSRqk9KxyZtpX2j1mn7nGeffVY14atYsaI6H5w/L3zwwQfK1oH3d+zYUYYPH17o90OHDlV7qvBHuKVUOIHKGtq8XhP1HtbD7bsLq/YpkWfcsRch4RwNeKKCVZu9E1bpBucR5azXXsA0icq+2+R+IBo0aR7ktdCRqJaQqDTdcfCruVQKVRr6bzkSNSEl6s78cv4CP9T8nzs4OKSXRGXDZyqwJDjThJLfoOyKjS7Zb1Pg8yk5TGcZf1HQvKhGVjXZmrNDRs0cr8rlihKpqJMhBfk5BGq6FbJBBmpDyg4pc8VzMVL320gEqlah7snbK12bd5AuzUJNv1INiCMQr7dcOkCgjCKTsV7aAkfmVuZYL9U39xhew84XNT2AWKOcnwDdRPPEeNZBEpm2Nugj2QiZZUqFqtGvXU91DCgWl2082OcY/2cIQMjoeJOSNhOpH0/5Vj2feaS3p31x8N5778ktt9wi99xzj/Jm7ty5s/Jpjqbcx8Lm/PPPlyuuuEIl50477TT1KNoECtKUdU8//ve//0UkUEFWhYrSsGaI8F4cVtKvAVHLvcHxRZtHIdnBum0bjRKEVOpQeYFNlI1g/kMwYeNaU6dOHWndurUjUR2SR55TohogUZNrDuFdzp//tx0SKufPzt1VsKg6ODgkDzwIIW769+8f9T1sSFFJmSBRCXjYqJtS37CRZ7OrG06YAI06IHH9JCkrZJSX03scr17P2rFUBTjhRCqbawhUiKfwhhwO0QEBjjKHcmHuOUpfYxGo+/bvk/+O/Vi9HprGUk1IB1RZeKOa8AUNV+hAoiba0CwVqFmzpjoPyTYCK64amKDeS5mkfVGDXMZoMyBQIfE5xzZ6jkLw21rKzz4COxDuX9OoVaW6dG4aSjaNmTP5oLmEdYy5mOZhiSQlbSRS127dIFMXz1KvT+t+XNo+58knn5SrrrpKLrvsMnV/vPDCC8qf8rXXXov4/qeffloRpLfeeqtaVx544AHp1q2bPPPMMweRiYxp/WAOjkSgarSsF0pmh/uiFrXUYyxGs4WpV612gRBtyy6zKlAIfMaRjQ2cuC9sLenPKgG+qI5ENQxUCcCRqPaU8+PFwgaCRyxfFlfOnxgqFynn37E7pEitUjHL6HE5OJQWP1SIFRPqHMg6CDpIBr9BWRibNJremAKEDg0I8JnzGxf3DXX5HfHreGnbsX0Bkar9PQmmUG05S5XEQNlhnz59lCcaASOeu5EIVDBy1nhZuXmt1KxcTfmhphMETRD1pnxJ9TFw35lousE4NlXSDwEAgedK+s2B84ra30Y/VH1P2FrKD6HBHsIWlWzvtl2VdzSKQ/xRNTiHEFfMtckQ5bYRqawPoEuzDgUqy1QDko/1aeDAgYXmK/7NPiAS+Hn4+wHK1aLv554jOcT+5tprr1W/j0aggpb1Qg3Llm1YVVCRW5SUhaxlXd2xY0fE5HClfPHNzpwYcXqawZ6WPbWpyotY0CSqiYRmvL6oQV0LHYlqGE6Jal85PxMNk2FcKgpXzp+cEjV/0duwI0Ro16nqlLwODiXZDxXijs2cCaIOf0Yazpgq7WQdwQuVJgT4ivmNDo3byBEtDld+a5//Mkr+8Ic/KFIZxRYqHhtUR0EFY4rzCfkwbdo0FfhFsqx4fmSovPH8o06WiuXT26yLewxiHIWsKV9SgnMCJJMl/aYCR5T+jkQ1B5v9UCH/8MSm+ZltIMHKWkkpv00xw5GtO6vXY+dOkdy9e9RxUlpO4o91PVnYRKSOyCdRj+/UJ22fwZxERVBRAt8r4cTPY70fpeqbb74p33//vTz66KMyYsQI5ZPKuY1EoIK61WpJ1UqVFYG6IoJVAyAZReKbax1pHtfim+x8eziTQMAAaWwbUQmYB9kHRCKjTaNOwH1RHYlqGM4T1QCJGkOJmlw5vyNREyFRc/bmqrG/Mb/rZp2q7vw5OJRUP1Q2liZLGCFy2IybUlqi+GQDi/+TKVzc9zT1PGzcZ7Jj5w4VTOHvScmcjRv/ICE7O7vgfEYq4/5p8a8yacHPKll+1THn+nJMBKDc6/PnzxdT4J4j2DZB5EKQ4I2J+t5WX1TU4LHIVofk/VApKbYNJn3BY4HEGqSXiWoRL5AARMGP4nD8/J9UQhLyNBXJPxuIVMRUfC9w7OFHSdBw3nnnySmnnKK8TLG5+dvf/qbWHTxNo4G9mFajLl4fvZQbCwEUtJGqKrQSVffWMAn2tuwBTFRexAL7Esa5jSX9dQLui+pIVEuUqEjTHdIMrRZNhydqRfvM620ECpyMfBXc1uztsnVXKDNWp5pTojo4JIucnByZMWOG9O7d20o/VIglNsKmPpsHjYBMqlDbtm1r1G/0lO4DVYOp5RtXy8tfvK0UqPjnFvVIdUgM2gMVDzdK+2kwQXl/OJ759q2ChiEN8htq+AHUqKhjYtoSpQlYCqB8N0FOmAwc4/VFJXicOjV653GHxAEZhsoT8sV0Y6SiYI6NpOyz5diYK0xa3kQDIqOBHf+gXv/46xSZtWBOSpszmiZSf125QBHE1SpVkcObhBoDpgPsv6hCIqEdDq8Et27SF8/7tQfqmWeeqT4r3Cs8ErQv6uL1y6PuP5jH8c2MVNZfRsoUejYJ5hr2mLaX9Nvoi9qxY0dFktvY/CoW7FphSiH2OCWqASWqdzl/QsjZFnquZFfm1law6ama74s6f80StXBWzswqUKg6ODgkDjo9Ezh6leGZ9ENl8wZpYMpGgM82RWCi7uG8my6Zp3nfeb1OVK/HrZ2pSq1R81CKXhKJVJplnXzyycq3lHXn008/TflnFG0ihYqLRAZNnfgdWLB2qXwzc6x6/afjLhQ/wfE0atRINTQzBT5fn4vSEjjG64uK9QPjxyF14HxCoNqoQqVhE3MsiQXbsHXrVqWo5361Ec3rNpbWhzRTc8mmjF2KfEklTBKpE+eHFJu92nSRcmXTt0fC55a1irJ7DZI9/DtaAp6fh78fUK5f9P3hTaRIHkGIxVJcN63TUIlqtu3aIZt2bo36vmhl/fsP7FfPtni5m6y8iAUSN9zjth1bmTJlFPnMfjSIa6EjUQ3DeaKa8ETdnHoSNdORqPGiaZ3QJm36ktkF3jgODg7JQxM5XptJAjgIVBNEJhtLU6X82ovVBAhQCC4ocTPdJZqGJp2qtpCMsuXkl5XzCubfkkqkQgh07txZnn322bT8/aIEqgb3GOQYpYwEk08Nf12d08Gd+0nbBv57DTL2aHjlpYpMJ7j3mHtMBG8EjqY+G6KMz/YCYyeIgaPN4HySsDLlf+0FrUK1TSELUNDRUArln61oWK6mVK6YJXvK7ZcZy1KfGDJFpOrv0qNlp7R/1i233CIvv/yy/Pe//1XJNZpAsVZedtll6veXXHKJ3HHHHQXv/7//+z/55ptv5IknnlB7mXvvvVd5f19//fUFyfkrrrhCvv76a0XAo6w/9dRTlcqeBlReoAK3Se3Q2rl43XLP9+qyfio9ivIn6SSeg1J5EQt48VMhYaMatUaNGqohWRDXQvtm8lLqiepIVB/L+VOpRM3NLy+oGNk82+FgtKnfrMAXFTgS1cGheNBkjhfIQpsILPGow3fTRAkjnw15ZKp8Uje2ITg1CY4BFUe9qrXkjJ6hwOb5Ee8U/L4kEqknnHCCPPjgg3L66af7RqBqoH6lidjHI76Qj6d+p352y4mXiwmg2GL80fjKZPBWtCTUD9DAx9Rn87nMuV5wJGrqwflkvNvm62k6mRgr2UeiBTWYrYDoW796rZzWZ1BBkykUjCWBSJ21fJ567tT0UEUU4qGOpyiE5A8//CAjR46U7777ToYPH67eN2rUKKUOxUeS8U4pNKp3Kl5i4dxzz5XHH39c7r77bmWJgA0UJKneIy1fvrxQ5QDK0nfeeUdeeukllZT88MMPVVUHHdUBJfv8jX/84x9qPoNQ5fnHH3+UzMzYDRR/L+n3PteQ+/gcc15ICIMd+Q2lquY3mLIB3ENUH9mISNYMNqBGjRqBVaI65s4w9uaFJj1HovoATXTmbI+rs61+7Qn9txyJGjco4cgsX0F12QSORHVwKB7YfISrByIBItOE3xmbNkor49lQl6TPBgQ3WCyYVh4ReEDo0Mymdov68v6k4fLlz6NUqXmb+s0LEanjx4e6BBMk2VImZxNiEagaKCvu/PQpRUgP6TJAOjVtJyY7BxPUsq+hpNNUWb0JksbUZxMYQvxAbESzEkGxDFFDMxLIG4fiJ81mz54tN910k1KF2QR8iVHtYS1jGyi9Zo2y0QJBAxUkSseuh3WVlds3yMpNa+TrGWPk3N4npnyd0kTq5MmT1b/T5afO2rBq/ZoCAnHjotXy9YK1KvHF/EEigIQAVSw8GN+sPdoPFjKRJDHzBz7cKO4Z9/r/MvdFug9QkWolaVFEavBz9tlnq0eka8LcCtGLdUwyoLkUZgGrtqyT3XtyCppFRQLfB9KWfVWbNm2UjyyoWilkEWcDIKNJWHOtSOLZBM4f44Skiek9aTgYq9xjRW0jggDH3FmiRHWeqD4gMz4SlQWMjVhM7M0R2RciAiWzaiqOsFSA0gsWzrmrQt0W61Z1JKqDQ7Jg44x6kIDca7MOiWpCiUpJK55WpU35A2nJOScYMwkdYPXt21eRye0btZYTOveXr38ZI//66jV57or7C97riNTUEKjg1xXzZcLSGarpxRkdjhbTQQoECZ51NDgzFbzRvdhvWwvmHr63CQUuD+aAaA31mI9RLDOmBg8e7PsxljTMnDlTjXVKiW2bt1gHIZpMNheMtU7ads40uIdQyh577LHqGAd37iv/HfOxrNi0Rn5eOke6tTgs5Z+ZTiKVPRtqRVSfc1aHmi/VzKomfY/8g5oToiW6tNKUknE9jqh6CG8wqvcdKFMp19cqP96XyrEX7oGaLIEKalSuJrWr1pRNO7bI8o1r5NCGLWIKnCZNmiTV6/5O+FerZE/8zbXj+nBPefUoMAGuE+cQ4t0mu5NKlSopuwbGEwkdU/FCMrCHii6lcJ6oPkKrRSE+IUCLi9wwMtaRqAmhdb76iWxYrSr2lV05OAQFEKiQX6jNokF3NaX5lN8wZSOASgMC0RSJSvk0gZcJ5V940IUqgjK48PJWXVr+ybQRSo0ajpJY2u83gco5e+DjZ9TrE7sMENm+VzZvTqEXexJgfsBPDhWKieCN+yBWo6V0gHEPucDDbzDvQWh4gfGEf65D8cF5tLWplKl1MBaYq2y1GdCADMTnVjeTqlm5uvRr37OgrH/zTu97zJbSfsgr1mNK8znnJFDqtwqRs20btlAq5eLsF0jacB2pgujVq5ccf/zxSr3LvM9nsp6jiC4uUkWgamhf1FVbYvt1QrDxmPxLqPS7VpUaqrLRJphqaBgLEKish7HWJBNo2rSp2i9zfwQJJYZEfeihh9QNrWXwkUDW58QTT1TvYbK69dZbC7w1jHuiZtiXnSxxCCc6wwnQYjeVqipiibF1UNDqkKbq0aNlR6fCdnAoBiB2UKF6qUgI4Ng8+a00QXkGgWsieIRAJcNtoqwTXzOUM6aVCHPmzFGkKAFoODo2PVQ1OiKAfuLLVw/6f45ITZ5ABSN/nSBjf5uqGmf8/czrlfqT4ID7wRQ0SYLfnt9g3jEVWKK+YjybCBydL6qZplI2+qHaSqKyPqOMjKaWNg0SL6jTiirouzbvoKzBiKG/nD6qQJBkI5EKeTpx4kQZM2aMmgsHDBig1leIoxWbQ/6jzeum3jedyhOSZ3xe7969FYFKyTT3CeXmNhCooHGtkB/r6s3x+XWSKJm9+Df1umFN++wxWOsYt6b5pUhgDoq1JplAjYA2lyqbKrUDk8u8efOMZdsJWvDsoNNcJLB5hUDlfRMmTFCd6d544w1lrmwSrrGUj4DoLCjpj76hZqFBucPDM2unm0rpv+kQNxjvNDjR2WQHB4f0NZWCQDARWBI80BDAhDeUyRJFSvUIMFIVZCRLIrMv0/5pRfGXk65Uz59OGyEzl4cCknA4IjU5ApU93X0f/lu9vuqYc6VZ3UaqvJj7gADUFBgDeCLThdsENIlqYhyZChzj+VxHoqa+qZRtZKW207GR3OWehChkfrINnDcSgcyfRX3Nmc/wmq5YIVPWbduoklbpQrJEKqp/bEzGjh2rqoCOO+44tR6HVwSt3RZS5zeokV5PZErMe/bsKcccc4z6Nz6mCMsSmY/TQaCCRrVCCb512zfJnvw+MV7gPtpTPlRR0aimmaahXiBxj1jPRMIyqCRq9erV1f6k1JCoZK+ef/556d+/v7qZyP6RHWCy4URcddVVqrOcX7jvvvvk5ptvlo4dO0b8PVJ2JuNhw4apSYzOrQ888IA8++yzilg1BeeJaqq51LaYCzcPzwWmoKmUK+V3cHAwA+apaOueaRWM/ly/iUyTJYp8NkSViSZekcr4IUMj4fAmbeXMnqFOx/d/9EzEtS7IRCpNXOgazANQ0shrAsd0Eajgv2M+koXrlimft/87YWiBbU3Xrl3VMZgs60f5RLO1ZFVIxQFKN5Q5JhShJklUxqFX12x8h5kvaELlkDwgrCj7Zt61sakUY99kUi0abC7lZ66Ea4hmVURDIfy9wU+Lf5WFa5dZQ6Ry3DTzY72BdOQ+p9y+KNbnk6iHVPdHCcyaznrGesTeEc/XeNaDdBGooFqlKupacg+v3bohrv+zU0K8TYs6qVfwluSSfshKxA0mbH28oBuhMSaDhKSYuyeffFKVz+PncfLJJ8udd96pTItRmzDpsdlm8sCPg0nnP//5j+qkZhJI6Qk06ZymMWjQIKVcpYkQE0pRUOLAQ4OBB9gQeW2KvKD/n37O3ZOrBnOZA7//zKF459QLGZlVhXA+b+dmORDl/eF/x+tal8nerG6g/RWqyr4Sdu0SOacO8cGdUzvPadCvB53XvZrFmFTBmCJvaeLB90Z9YeI7EzTjRWZyTKCEKFrGXxS3nXK1fDF9lIybN01GzZ4oxx5+1EHv8bvZFNcN4glSiQoiriXAHgG/OAJRgrhYDYqmTZsmRx/9e0OnW265RT1feumlqgopHQQqAeAjn7+oXt928h9VcKjBMbMPpvkN4gMTCmnGBGQAgT2lc34CIhkbLQJLv+cEPo+Ozn6DsYqCDkIl2lzEOWFs0HW6c+fOvh9jSQHEFkQlhJttDZJYE+KZs/wG8S3HhkLRRnDPQop7NURqXb+ZHNHycEWi0izx0upnFJp3/W42xfrFvUxlLnY+7dq187zum7O3F3h7+gnWNLxFZ82apVSp8COouCPdO+kkUDUgkXfszpaNO7Yom4ZYWLpplXquVtb/Kqd4ACE4ZcoUNR5smo9IMLEWsybZpIyvVKmS2jNz78CJcYwllkRFYYo8HZVDJDAhX3755fLCCy/I66+/rghV0yQqG7dwAhXof0fLFjz88MNK4RpJ1aoNrpPFiBEj1POsxb/Knn17ZUzuaKmWGVkx4pDYOfVCn137hL5v0yeOkTXzImffwhsQfPvttxGzh6DphvEC9b5hR65MGj5cSus5dUgM7pzadU5TYbRvCgRAlAx5ra/MZ5BRJtQ5kLcmuoHr9d7ERgyyjw20qfJIVCUoHvv06RNz806wcvmAs+WFke/IvR8+LX3b9VA+nn4SqRCmEKW6qzDPBB58JudQk6gEcfxcq7ooiYQc40EwwHP49cYHLlnlbDIEKrjnw6dlZ84u1S36oj6nHvR7ylL5HqtWrVIBqwnwuZATfpOogPuCz4ZYMNFcCtKoaFlwusE4ZYxHI1G5j5gjSXw4EjV5cP4gtVxTqcTWSe6NaDGOSTDPo5o/9thjY763X7sesmrzOpXE+mzaSDnvqJPSZpHnRaRyzCTvqG6FcIwnibszJ6RAR4npN0hKssax3qGwZe+Cv344ae0HgQpqV6khC2WZbNoZu2KAdf3XFfPV60p7y6n9rW0JCn3tERba1G1eN5fSfRJsOq6WLVuqvR0JMZOVXIkgqVnmf//7X1zvY7NyzTXXSLK4/fbb5dFHH/V8D+Ub6dqQ3XHHHQXqBa1EZcJEYZvsZILqiYAfbxQmqoXfblSG2IMHDJYaWa4sPBXn1Avltr4psmC+dOvQWg50GxLxPeFlVaiVo5VDlp20QmSpSN3GrWTIkMh/qzScU4f44M6pnedUVxgEEfhtUSbrtVlnPiPL6/cmk40t59bERo1GFKY2YQR+fpNE4UABA4Ecb9B+85DL5IPJX8uCtcvklVHvy5+OvzDi+1JJpEJm4RvLZlkrIjhe9lcoYiCeNCHKPT58+HAVxHGPE0BBFBME8IAIINDjWPj/lKyHe875RaD+MHuSCuDLlikr/7zgtogEPvcgY4PjpXrLBMnP2MDqgXPot1cxBAQd1Lmmfq6BurkU46WomCLd4HMhUb2gSVSH5MH5496Ptl83CZJDicwlfsHmUn6IO1Ta8QiWsMM7udsx8ta4TxWROnLWeNU4MV0KwEhEKusY/VaYX1jD4t1v7coNiXkqZ5pTVGpVKnMz63uvXr0Use4XgQrqVA0lP1CixsKyjatk667tKuHbqk4TlZTk3rcJjD3GAveYTSRquL2NbURlzZo11b3EXG7bsUVDRiqCFT1A2BC//PLLanNGmX+/fv2K9bf//Oc/y9ChIU+paIjmlRJNWl002NG/i0YCR8pasyEr7gaQ/4/KYv+BkGw5q2IlR6wUE3Fdl0qhgD4jL5v/EPXvxPU394Y2xmUr1ZCyJfTapWKsOxSGO6d2ndMgX4tYpfyAAN6EClU3lSpu1Uai0PYFJpQ/ENacb4IsEyCQYx8WXsYeC9Wzqspdp18nN7/5oDzx1atyRs/jpX6UJhfFJVI5PpSIHCMbZsodIRMTuQf5PMYUD/6vvuY00qJMffTo0WpPiuqT65DI8SVLoFKG+Je3H1Gvrzz6HOU3Gw0ECZSs4YPJ9zehPiLpQnDn9+fr8nbmBr8DSx04+k2iMvfG8sF1JGrxwfkjlrPND5W5iXFHzxCbQMksc6bJhJ/XsTGXR7LZi4YalavJKd2OVQlBVIqHVK8t3VocnrZjDCdSUaAuXrxY2edwPhNZc2wp9WZdoIqYBNu4cePUPAk56QeBCvAQB5viIFGnL5mtng9r3EZatWyl1lLbSFTAfAQRHa1q2xRIWlOtZBuqVKmiriNzOcKYICDpNDg+GkwYZIqYNDDs79Gjh/zrX/+Sl156SXWA+/TTT4s9SfG3vR7c+PGgd+/e6pjDu6WhYGJy6NChg5hsKgXSVXrgUAQVq8dsLBU3cl1jKQcHB3OwmUQ11VRKq75MfGeIKZTBpoh5KnPYhCb63c/tNUSOaHG4ZOfukr+//5Tne5NpNqUbXUFwEiDjCYrdQCy/u3jBGGMv2r17d1UpBEkIGYqVVLxK82QJVHD/x/+RVZvXKnuE2075o+d7SZpDqKAYpnSttDW9MNnkyURTK+7FWE2jsFZwJGrxwPljDrCNRLW1qRTzIvOmbccFmJu0h3IiaFa3kQzocKR6/cOcybJ0w0pJJ+AoIMggynjNvJ7ofqdc2ZBiNW/fPjENzrku54cU5rVf40P72O7ek6Oqc70wYf509dyzdWeVlGQ9sbGijH0IiWPb+i7otdC25lKVK1dWe68grYVJk6h//etflWQdb1S8p0466SQ58cQT1YXBw+rqq6+WRx4JZeb9AFkr3XmVMkLdlVUHVGysIUsvvvhi5f2B1+Vdd90l1113ne8eSRqORDVJokafcFkECe54eC6I+m9k2rcJcXBwKPmIh0QlgDdR4miymRUbfxOl0ibLIwkiSBIn40HLuXrk/FtVQPfF9O/l6xljUkakUvEzatQoVaGEv126AzP2cyTYUTKgdmSPiu2FV8BQHAJ1zJzJ8taPIcHAvy7+m1SuGFt5zWegpKVU0gQYoxs3bjRC4poiUbUPnN/Q5fxe94hTohYfnD+ILNtIVNZB7EVs82w0leSMB8TxMeOvKCAZ2KFxazXff/7T97Jh+yZJFyDIIFA5VtZ+KiwSRbn8fcq+/eZJVEByD+KfNQrhWXhz7XSiYvnMgj3b7j3enzl+3k/q+Q9tj1BCOipSGDO2gcoLHiaSd15gjuTeYvzadlz16tUL1FqYdJRBc6mHHnpIbaQff/xxZUj8pz/9Sd0EPG644QY1ufiFu+++W0n/77nnHrVh4TUPTJ4BC9iXX36pnlGlXnTRRXLJJZfI/fffL6agsy0Z5cpZuZCVSGjC00OJqoMbHp6lqJpErehIVAcHB/8RBCVqaflcmklgb2SKRKVMnqZByfpcdmx6qFx3/EXq9e3/e0y27dpRLCJVq0/Zg0Fqsu/y09oBKwlUQpQjEmChSo0UNBSHQKUJxv/990H1+vIBZ8kfDj0irv/Hfg+7AdQ+JtQgzAdci/DKrNKgRIXI94sUCL9PtI9vNNAYkJJ/5g+HxME1Zb+OCj/e6sTS3lTKlOVNLLBuYDNAp+5kwNw6qFNfaVK7geTu3SMfTflW2a2kGhCNeKBCoHbp0kWV9iPQSpRIzdBKVAtIVO2ByrpOZTGJp4kTJ/qipFQ2PRVCDc527Yk+Vy7buFqWbFipEr692nRRP2OssI4n20iyJK538TaXsglVqlRRibBSQaKy4OtggS/ORiG8KyKv/WS533jjDXUDFX2gktVgsqNBAZMfkzTkr6kOuuFK1PLlguvJFzhowtNDiZp4Ob8jUR0cHPwF61ssEhWCBiWq3ySqbiplIkgzpYCFkEJx5LcHbHijpng94qPhlhMvl1aHNJV12zbKXe//K+b7oxGpVCNp9Sn+rMmqilJVUsc+EJuFMWPGFPICKw6Byne95c2HZO22DdL6kGbyt9OvS+j/6/2zqbJ6UyX93JskdvxWwermUn6rglTPg6wsz+ZSzBuMP1RgDomDZAQKdJPzTNBIVNu6c2sQm3O/FGfPQqOpU7sPVD6bEKgfT/1WcvamLnnC3M+6gWpOe91qj9REidTM8pkFZewmUbSJFPeRLu1HkeoHsvKba2Xn7Ir6nhEzf1TPPVt1KrAA4NyzB7JNWWnSRiaIx1WhQgU1hzMO/U52Joti1bsVXaxsW7xsx968UHbHlfIHlEQtUKLatxFxcHAo2SAIIjD36mJJwhD43YXbZFMpU0GryVJ+lJaQhcUtk6ek7qlL7lId5j+YNFyVQyZKpEImo9Bp1aqV7+rTaKACCVUqx4NvLGQV1VPJEqjg9TEfybczf1Qdgl+48oGEuytDrtHYyVSDB8YqVgt+q3eYiyC8TARwpkv6vcA8nkw5sENo/qOk17ZSft3k0DaykuSqqSSnX+topQoV5cyeg6RyZpas37ZJPp7yXSELveKS9pA8WBqG8x7JEKk0wALrtm2yhkAt6pHK2u5Hwk1zIfsORK/O+OaXEIl6fKc+hdZ3zj3HaRtsVHzarJBt3LixGnfsz0o8iTp06FA544wz1CMnJ0euueaagn9ffvnlqTvKEgo9oZM1c/CZRNUq0ghAPUMpAw+vEqyCv5HpGks5ODj4CzYZBOeomKKB+QsSy29/UK1+NdFUisDV65ykA3wmHpOJNsJI1WfTndaLTE8EPVp1khsHX6Je//XtR2X1lvVxE6moYSdNmiSHH364Kle3LbGORyoNrbA+wGaAADEZAnX6kl/lng9CDbj+fvr1cniTxH1oAU0xKOGO1XgoHYB0h0wxQWaaCuCYF2KRmekAc7DnXlJEkYBBCRxtA+cNEgX/QZuA2hqbF7/Xo1hAsceewIRXeqy1jMROqpKR1bOqyllHDlbJQRr/fTp1RMymRbHA/EEijhL+SJWsiRKph1Svo57Xbt0gNhGo4Ukv1nN6zDCW0wmd0CsjkfcNkOG6qdQJXfpHTAraBtY6xoxtzaXiaXhoAllZWWofHZS1MOnI6tJLL1VfFJadBx6jbAL0v/kdnqMO0aEnc5QMDj6hYo2YnqgEFgRYPDz9ypwnqoODgyGQdYcA8iKqSG6aaJzI55oIaHWJot+kMd8XZYoJxREkHMFNMmRgNPz5pCulU9N2snXXdrn65b/JnvyqGS9AEmHjQGCJyslGfzJA4KCPM5nyvw3bN8uVL92pkuBDuvSXK485J+lj4R4h+IMEN+WLVppIVM4396qNn8v9a6OSKgjgvGEhZxuJyjVHJWfSNs5rnbQtyYVNoE7wpAr1qteWM3oOUirHpRtWypc//5B0EyfWNHy+SVhiDxMNiRCpDWqEEq9rDJCosQhUDbyGmbOpNEknYu0ZPp/+vew/sF+6Nu8gzes2LvS7Qw45RI1rE/O7F5iTTFVexDou9o0mPNm9wLmyVVUcCUnP7K+//npqj6QUYo9TogbcE3VH4WZVDg4ODj6TqDaSmaY+11TpJJt31EYmgmXGAQnsVHZ/JuB88coHZNDDl8nUxbPk3g+fln+c9xfP8z558mRV3khwOX78ePVzFCw2BeraA7V79+5KhTVu3Djlw0VZfTyATL76lbuUOhfv2KcvvbvY34/yNZRNHTp0EFNkZqpUzPGCe9SE0oQ5yYTXGp+LUt0LzOV+NuMtSeC+ZkzZSKJCCtg0B9rs00rJOGRYqs9Xo1qHyOk9jldNphasWSpfTB8lJ3c7RjUnSgRUMDB/aB9UL2gilXVRVx1EQv0addUzSlkbCVTA9ejcubPyOffDtijS9YdgfX/iV+o117IouPcZ06hR/V7P4vUf9SLe/YYWVzCe/bb78gLXkSRKUEhUf+UaDhGVqOVTGPw4xIAmPFGiFkcpw7Xbky+Fd56oDg4OPsNmEpWNmSklqong0NTnElikK6hpUa+JPHPZPer1a6M/lA8nfx3xfag6ISbxQCV4idZsyjSKNpEicCTInT17dlyKVNVI6q1/qHJCfPZevfoRqVqp+OWwVG3hXWyizNyUIpTP5Zz73VzKpBI1FnnrlKjJg/PG/Wyi6sLG9TeoJGoqS/mLolndRqrZFMQpRCp+34mU9jM/Qzx27do17mRpPIrUtg1CCby5qxb6tlYmQqBqQLSRJE1nWb9u/hWpT8xPS36VmcvnKWuGs448wapmiUH0H6Vai/nSRuVujRo1ArMWJiWbuOWWW+J+75NPPpnMR5QqT9Ty5Vw5v+9K1P15Int3i1RIsulFuKeq80R1cHDwGSi5UCB6wVSJORszE1l3yshNfF9UBgRMfgMiimucrs8+vlNfuXnIZfKv4a/LrcMekfaNWsthjdsUeg9NmtiQt237uy+oJlJtUaQWJVDDPVJRoU6fPl369u3raQPx2JevKCKZIPzlPz4k7Rq2TMmxEZBzrxD84SPrJ7hXuGco6fPTAoNACQUw45cybL9A0KhLGP3+vrGCVeeJmjw4b9zHthGWNpKouqmUbc2u8IxkPmBOTheoHji9x3Hy6bQRsnDtMvV8yhED47LUmzNnjlKTJnp8sRSprCMZZcvJluztsmrLOmlcq751BKoGx47v+cKFC1NeOQGBvCMnJEyKlJx87YcP1PNpPY6TWlUij12uDU2/+Fs2qb8hBVetWiW2wUYSNTMz01ilSjJIaheBJ0j449VXX5UXX3xRRo8erR4vvfSS+hkZC4fo2JvvMxYp6+KQJlSoQq1AzOZSMaHtADIqimRUSM2xOTg4OKRYiVpaPFFRRBKI+V2axIbdlLIH4o0gLZWl/EXxl5OulKM79JLde3Pl8hdul007f1dUbNmyRQUtNGgqSkrZokiNRqBqtGvXTikiKdWMhv9N+FKe/OpV9frR82+VYw7rndJjNKWgobkE1y0Zb9jigACX+9TvAE7PhSY+l7mJOSoanBK15JXzm6rIiKWo5P7j3rcJrKHaPzKdoMLijB4hj9Ql61fKB5OGy649OTF9tFHJhicKE4GXIjWzfAVp16iVej1r+TyxlUAFjBvOAX8j1VUEqFDz8ufHqhUrH9RQCgsGcPmAs6L+DeYA7jnbiEGOi/vOa/43AVOVGbGOibEZlLUwKRL1hx9+KHicfPLJ0r9/f5WdIJvPg0ni6KOPlhNPPDH1R1wClajOE9VHEOgVlPQXg0TVBKxrKuXg4GAANpfzm/hcPpNNPgo3vz/XlOLXD38ylJfPXn6fNKndQJZtXCUXPXOLZOeGmkiRRG/Tpk3UgMw0kRqLQAUQ0JRooqhFoVUUY+dOkVuHPaxe3zj4Urmo72kpP06uIU1V0t39OFpzKROlhiZUMKZKGLUvptfnMj65DjRoc4gfzCnc56jQype3q6rPVBIznrXZJqWerubwKxFJaf/ZvYZIxQqZyt/6f+O/kO27o9upkGBDKV6cBK0XkdqxyaHqedriWWIrgarBfca6nupmiDvzVaiVKlQ8iBMZNu4zxZd0b9lRNbz0quogOWBjEydgwo87iCRq1apVSzaJGo4nnnhCHn744UIlObx+8MEH1e8cokN3CMxwnqj+QnuY4osaBZTXeZaj5uQrNxyJ6uDgYAC2kqgoFHiYIFFNNPEw1VQKwg0lKI040g3K596+/kmpWbma/Lx0jlz10p0y97e5ipSCRPWCKSI1HgJVg0YGlANTPRV+fBMX/CxDX7hN8vbvkzN6HC+3n3J1Wo6V4JwxtGHDBmNNL/yGzf6kqQZzUizylv0mc4iNnn42g/mX68k9bhsxaGM5v43HBPyu5qDZ1PlHnaxKxzfv3CrDfvxM1mxZf9D7UJAvX75ceX4XF9GI1L7tuqvn0XNCJf+2EqiAewzbGV02nyqs375ZPRct1d+xO1teGfVeTBWqzf6j8cz/JmCq0WKsY4JDLDUkKpn7SBs/fuZ3iVDQsG//fvWMH4qDj6jorUQl6GP88uC1pxJVq1odHBwcfATdnr0SPRCZqAX9DpjYlJlQhJoqnYSAMuXDCvnm13emAcZb1z0hlcpnyqjZE+XuT/6tvE7j8Zb0m0hNhEDVOPTQQ1XZpt7PQqBe+Mwtsit3t/Rv31P+dcldafXRJHAwEfyZUqKaCuBsJW8ZW6i8mNcd4gfni7XGxkZJNhKWNloMABOWOHWq1pQL/nCKes7O3SXvTvxS5q4qbOuClyUJrlQdWyQitX+HI9WeafbKBbJ26wZrCVQN1lT2l5s2bZJUAUWw+ts16hX6+Yvf/082Z2+T1oc0k1OOODaQJKqtqk8bid2yZcuqpDZjC/9m21HsHeHpp58ul112mXz88ceqpJ/HRx99JFdccYWcccYZqTnKEgrUDaCsI1H9RUE5fzHUF/r/OhLVwcHBZ0BC4bHE5j4aUFAAv0scTZULUgZrIjiks3rUZFsJCzopp3vxqoekXJmyMmHlTPn3D8PiJkT9IlKTIVABKkDUqDTNmDB/ulzwn5sVgTqgw5HyxrX/VN516YSp4I/rwhguTWSmic9lHtZzcjRQisq87hA/OF+cN9tK+W0lUW08Ju4LElgmkpHVKlVRRCpNp/Dk/HL6KPnxt6kFBA4q1KZNm6b0M4sSqbWr1JAuzdqr342YFWrGaCuBqomuxo0bq3OTKmgVcIOav5Oom3dukxdGvqNe33ryVXFZHzoSNdjHBIhr2B8Gwdqm2CTqCy+8ICeccIJccMEF0qxZM/Xg9eDBg+W5555LzVGWUGiTYadEtUuJGhf0/3Xl/A4ODgbUJCgBvEhUfo/fo99kpikfOFMKG1NBqSkF7HEd/yCXdT1FvX7p+3flznefiFsxkG4iNVkCVQMSddy8n+TC/9wiu/fkqIZar1/zqPJpSze4llxTv31jtULS7881pYIx9bmQ9LGasTCfuwq+xMD5ysrK8t1OJRZMVYIE0aeVeY/zZOpckSA7rftx0qNVJ/XvSQtmyIdTvpF1m9arY2vUqFHKP7MokTqk6wD18w8nf201gaoBsUwH9ViJoXiwJ2+vbNgRKudvGEaiPvPtm7IzZ5cc3qStnNztmLj+lq3NpWwkLG08JqDjmiCshcUmUVm8IEuR3tJkgAcG+fzMhDojSNh3wHmiGoEmPnVJfhGQ/RgwYIB6RM2E5OarBTKjkxgODg4O6YBWK8UiUU0EliabWZUm8taEElWXz/6hSWd57MLbFUH/+pgP5da3HynweDdFpBaXQAWf/zxK/j31Xdm9N59AvdYfAhUQ6HLP+q0K1feM36X1tpbVmyZRnRI1MXC+mFNsI1EZ2yj2bFPI2qhERYWKmtgkuFZUHZzU7WgpXy5Dlm1YJa+MfE/2ZabPmiicSGVNLVumrExe+IssWV+48ZRtBKomK1k78GUvLpZuWKkSsTWyqknViiHeaNnG1fLa6A/V69tPuSZuKx3mAcY3Y8om2Oo/aiKBGs9xMbaCsBYmRaJGknCziHXq1Ek9ipKneIo4HAxKBwATp4MJJWrkcn4m8zFjxqhHVIXNHk2iukSBg4ODvyBDy6bSKxgqjSRqaSFvdfmjCRKV/V+TJk3k4r6nyb8vvVvtX94e/7nc8Pp9krt3jxEitbgEKp//5FevyQ1v3Kdslno07CCvXv2wVCzv33VFNU7A63cpIp8L0eM3oWkqgDNF3nKeY5GoEElBUN/YBM6XrSSqiUaHQfREtemY2jdqLRf2OVVqVakhm7ZtkYmrZqny/niThMkSqasXr5BeLTurn70x9mOrCdRUl84vWLtUPbeu30zdL6wJt//vn5KzN1eOattNjj28d+AJSxv9R00lUGOBuZw5PQhrYVLsXY8ePeTqq6+WqVOnRn0PEviXX35ZNR7AI9XhYOw/kN9YyilR/UVmfglkbjFu0D35Wa4KZrOnDg4OpQ9sLlAteQVopkjU0lRWT5Jtz549vn8uGXrUMX6TtwQ369atk4YNG6p/n93rBHn+ivulXNly8vHU7+Tcp2+UTTu3+kqkFpdAJVC76c0H5Z9fvKT+/afjLpSrjzhTcrL99+MypUQ0QSzqe6a0KGBdOX96wPnimtpIotpCDGowx9p4XLYdU91qtVSSsEFWbbXGUt7/9rjPZcP2TWklUnvUPlT9+60fP5Ut2dusJlBTRaKSeF2wZmlB80rw6bQR8sPsSZKZUaGg4iURMJZs89O0sXTeVAJVSjuJOmfOHPUFjzvuOKlfv76ceOKJctVVV8kNN9wgF110kXTr1k3q1asnr732mvzzn/+UG2+8MfVHXoKUqAQgDj6iQr56dM+uFJCoTonq4OBgppmGF7Qnqt+AFCktZfV68+n39zUVdFJqzrgK92I9tftAefv6J1UZ3qSFM+TER68sUJakm0gtLoFKGeHJ/7xK3pv4lVLUPnL+rXL3mTdIrZo1lRDAb5SmZkso6UkE+P253KsmFLDxkKiusVTi4HzZ6Ilqah30gvNpjR80Tzy0WhM5o9cgqVghU9Zt2yhv/fiZjJ/3k+Tt876PkyVSrzjpAmlS7RDV0BC/cZsJ1HAf7+Lgt9WLZe++PKlZpbryQ4U8/vv7/1K/+78ThqqGX4nCRiWqjSRq+HpoEzIyMtScHoS1MCkStXbt2vLkk0+qDewzzzwjbdq0UT5ZCxYsUL+/8MIL1cZ24sSJMmTIkFQfc4kBZWPAkag+Q5fg65L8ZOBIVAcHB8NKVC8QLJkILFFnxutflWpFqAkyk8/0+/uaIlFRnRCgFSXn8ZL74q8vS5PaDRQxecIjlys1STqJ1OISqF/9/IMc99ClMmvFfKlVuboigof2P9Noh19TgZapQMpEiaO+V02QqLqZbDQ4JWrJUaKyJplIYsbj02rbubJNiQogB1HpdW7RQS7rf6a0qd9clfRPmD9dXh/9kUoUpnoOQXx2y5DL1evnvhsmKzevtZZA1eskiVX2XsmA8/fTkl/V6y7N2ivF6d/ff0o27tiiVKnXD7q4xJTOM745T/E24fQLzFG2HVNGgJSoxZpJK1WqJGeddZZ6OCSO/fkkaoYjUf2FLsHXRGgycOX8Dg4OlitRSwuJqjvE+t3Ew5R1gY3NrNo1bCnDb3tVrnrpTqVIveaVvyvVzv1n3xSzOZMmUsePH6/+jQ0UAdWqzetk846tSqmSKgJ1a/Z2uefDp5X6FPRs1UleuPLBQl2B+Y7z588Xv2FKQWOKvOV+jaXOTDX03OT3PBWvEnXDhg2+HVNJWQshTWwjLCGIbPND1YlG247LJk/U8LUOpSXnqkrFyqriAtXkmLmTZeuu7fLp1BHSvG5jOfqwXlKnas2Ufe55/U+RYZM+l5+WzpabX39A3r/lGc/rZYpABVQSoBjkXEEAJ4qF65bJph1bpEJGeTm8SVt5d8KX8uHkr1VVyBMX3aF+ngwYSzQ4twm6OZkJ+ycvaA9am5CR3xysxCpRHVKtRHWXwVdo9WhuKkjUrNQck4ODg/V4+OGHlSc4iiE2jaeddprMmzev4PdsZtmURHp88MEHhZrzYIPDBpS/c+uttx4UYN93333SuHFj6dOnz0GEDtl//q+NJKqJ4FFvAv0mb02VbJpUono1s8JL7sObn5GbThiqxgDebsc+eLFMXPBzworUyQtnyDvjP5fhM0bL6OXTZduuHcUmUL+ZMVb633+BIlA5PvxPP7rluUIEKiB43r59e0zlYKpR2jrWc7/6rYLRc5ON5fzM6cztsYBC56abbpJmzZopMQsESniPCr7b3Xffre4Pfj9w4MCCSkENKgW7dOkizZs3l1dffTXQayEEhSNR7UxwBtWnFSVq+FrHtWzfqJVcPuBs6dWmi6ogperiv2M/lu9mjitYn4oLPufxi++Q8uUy5McFP8l/vnjDSgJVI9mqDa47ql7QrcVhsmT9Srnjf4+pf//15KukR6tOJap03lQFhI1rcCwwl3MNg7AW2jWbljI4T1TTnqjRSVQ2dJ4khbYCcOX8Dg6lBmPGjJHrrrtOJk2aJCNGjFAKyOOPP151Sgd0LYfkCX8QAKIwOuGEE9R7IGYIGslIT5gwQf773//KG2+8oRZ6DRR5X331lXz22WdywQUXyPXXX59wqaCpIM4kier355oKSk14yHGOCSzD/VAjIaNchtx+6jXy7g1PySHV68ji9Svk9CeulVvffkQ2bN8cF5G6evVq+Xz8d+pnnN+cvFz5cd60pAlUFETn//smGfrCX5W3HT5rn/35BeV/SrBaFNpjESLVT+gyRL8DLVOBlAkVjCkSNZ7vGm9p5ZVXXqnWn7feektmzZql1iCCw1WrVqnf04vi3//+t7zwwgsyefJkdV8NGjSoELFwxRVXyN///nd55513FCG6YsWKwK6FjF/bCEuutY2EpW3niTHANfS7iiQWGMeRqn1QR/Zt10MuGxAq8efYf1k2V1754X2VpEumIVRRtG/UWu449Vr1+vFvXpVvJo2ykkAFnKN4yK6imLVinqzftkkyy1eQdo1ayR9fvlN2781V1kA3Dr60WMdEUkVXJ9kCfd/ZRljaqEQtU6ZM3HsS02uhXTN8KYMeIAQdDibK+SNLxbnJWEB58DoidFMqV87v4FBq8M0338jQoUPlsMMOk86dO6uADyUNxI4Ogmm2GP745JNP5JxzzinYkH/33XeqOeOwYcNU9pOA8oEHHpBnn322wFtqy5YtqgN6p06dFGFUNNMfL3lnImAyQSyaIlFNBaUotfwOOrmuBCaxFNAa/TscKWPv+Z9c1OdU9W9Uqb3vPkue/voN2b57Z0widcvWLbJ+/XoZ3LGv+vmsxXNl2rRpCRGoKIX+/NY/lBr2hzmTFGGKz9rIv70pPVt3jvr/uKaoFvxWs3BNGVMm1JkmAikTnxtezm8b4gkc6Tr90UcfqeCwX79+0rp1a7n33nvV8/PPP6/O51NPPSV33XWXnHrqqWoNefPNN1Vi4tNPPy34O+xvaQLMOlazZs2E/edsWgu1wtUm6OOyCTaSqKaqSGIhlqd8zcrV5bQex8m5vU+UZnUbqesNMfjqDx/I5z99L8s2ri7W3HbNwPPlmMN6y579eXLDOw/JxJnTCn6HGtsGAlXf54lWbGTn7pYffwt9n56tOstfhz0qC9Yuk/rV68p/ht5T7LFgIzEI+F62HRfnysa1sEwcx2XDWmjXrFXKkLc/VLLiyvlNNZZKQTm//lsODg6lDrozaa1atSL+noByxowZKtMZXjrSsWNHOeSQQwp+RmYU1dvs2bML/g2BA2E1ePBglR0NB5vWWBtNU5s1E4GaKUWoqc81dY5BIt+3elZVefyiO+TTP78gnZq2k505u+Thz16QI+44Ve7/6D9RG2dAsvTo2E1tZj8Z94362crVq6TbEd1iEqgc57h5PylP1qPuPkfeHv+5aggypEt/Reredfp1MT1aTTVcsFklmQ6UpnL+eM4x5yMWIRGtwzqk/7hx42TJkiWydu1apcbRQD1+5JFHqrVHA7Vn+/bt1e969eolHTp0kKCuhTaSqDYSlraW84OgnqumdRrKOb2GyAV/OEVa1Gusvs+81Yvl/Ylfyas/vC9TFv7imTSMhrXbNkr/9j3V6x17suX6t+6XpcuXyf4DB1SywgYCNRkSlfPz3cwfZVfubqldpYZ8MvU7+fqXMZKZUUFeuupBZQlUEkvUbSV3bSV2y5QpE4i10EkgDWJf/k3uyvntK+ePiYJyfqdEdXAojWCThhcPqjka4UQC/joszmx4NVjUw4NGoP/N77QiDaUPSjw8p7Qpffhns8nwKlnSZXJ+lzXxmXy2n5/LZ8U6H+kAmzg2oH5/rolrqz0zk/ncI5ofJl/8+UX59KcR8ux3w2T+2qXy3Ii31aNHy45yQuf+cmTrLspzTpfXH9mmiyJDP/9llDSsUlcOb3Go1KtbL+Jn5+3Lk1+W/yaj50yWj6d9J8s3ri743YD2lAdeIj1ahjzW4j12xhNqOD/PsQ4a+Fw/Axs+y+97Vn8u95CJ0kvOsZ+e0fHes7ECRzxIe/furRSbrC2sHf/73/9UUIgCR68hkdYY/TsAmXneeeep84D6JqhroT5fJsavF7Svq03HpI/FpmPSimOun01kjj6eeM9Vvaq15NRuA5VdDIpULGQ27dgqP8yepB71qtVWNjLN6zSSetVrR437Jy/8Rf797X+VfU34+di1L0ce+fh5qV+lttxw+uWKKLLhOiY6h89cPk/mr16iyLtVW9YpT1nW2qcvuUu6NuuQku+U6LXzCyb2FDavwdGg45sgrIUJ7yCQz9L1rFGjRoV+TtaQsg6H+IE6Ajglqs/QxGfuDmYQZrZCvybrfeaZZ6rXSMUjGp5rAra8ayzl4FAagR8cDXDIeEZbK/HYwWsnWUTreMoGg3V4+PDhMf8GqgW/EW7s7ifiOR/pAOVBfuPnn39WD78BoZEsWElv7nKezN6wSEYsmSLzNy+TqYtnqQcoI2WkaoUsOSAHJHtvjuw/EEo0r9yxXhZuWSHjf/tJalWqJtUzq6jGnLvzcmRt9mZZtWOD8k0t+JxyFaRHww7Sr0lXaVq9vmz4baUM/21lwsfLPTZz5kzxG3h8lZb7Z926dTJ37lzfP3f06NFi2zmmtD0eIgn/t8svv1zFYSjBKEU8//zzC0rp4wXWGVEtqwK0FpLgmT491KTGNlB2bRtMrZPpWlfShSlTpiT9f5vuryGrd2yQFTvWy+bd22SBLJDxMkn9ju7zNTKrSLXMypJVvqJULl9Jcvftkc8XjJVfNywu+BsNqtSR2pWqS2a58lKnUg011nftzVHejkEcU9tyd8r4Fb/IvgP7Zc++vfLdktD3OKfdQCmzZrcMXzO8xI/zaHOkSWzYsKFA+W8Ldu3aFZcS3PRamBCJ+uGHH6psY506dRRT/PLLLytZLLj44outXcRsBUEAyCjrBMFGlKgEaHk5IuUrFfo12Q89+UbMhOTtEdmXn7Vx5fwODqUONLf48ssvZezYsaprcLT1ko3AJZdcUujneMMV3ZxDJOjfxQM2F6hyhgwZEvU9dEomuxxNGZQucE7atWsXNehNB/A04nN1wxK/sHjxYlXG2rVrV18/l0w73UjxCvQLqBXwMDzuuOOK7cd6kojcJiJrtm6QL6ePUqqbn5b8qsoet0epENmcs109vKwD+h7aXY497ChVup+VWXhdTxQ0tGnZsmVCDayKC5QQI0eOVCXMfnYbp5ECjX969gyVj/oFPG7r1q2rxrJfgKT8+uuv5ZhjjvG1IzjKl4ULF6oO815zdjzBX6tWrVRjJ+Y9St8Zo+eee64ar3oNYU0JH7v8G9/RkrgWok5lDvbzXo0FGv8QP9gkLuLc0pnaawz6DT3n0RDGT2V4PGRXmzZtDlKxJQNK12mwuGj9clm1eZ3k7P094Uck+eumFfLlz6NUY6WyZcrIYY3bSveWHaVGVlX1nk2bNql9BvfE4ZlNFJmKv2NRMZsJsAfCpxjyygvbdu2Qdyd+JS1bt5JF65bLd9NDZOK1Ay+QO/ObaKUKnCvmFfYqNuHbb79Vav1IDctMgfPEvEkjQFvAOsnaHA+JanotTGjGevDBB9UCz6TC86WXXip33nmn6phokww/CAhvHuDnZtkhjEQFBGxFSNSY2BsW5JV3JKqDQ2mat2+44QbVIAMlU4sWLaK+l/LFU045RZEE4aD85KGHHlLliZpoRHmGv1W8Xjzax8iLzGJdMdGAiM/l+Pz8XILoWOcjHdBBn4lzTCDl5+fqfUoqP7dp3Ybyp0EXqQf7oY07tsj67Ztk86bNsnTBYvnv3OEye/VCqVmxqmzJ2SF1smrIyR0HSLmsCqqrL0Rpy3pNpG2DFtKuYcuUWiNxPIwrP8+xTtryuX56F/JZft+z4feQqXPs9/0T6xzrrsSJqmdovkSAToMN1iSCx++//74gUCS4RL127bXXlri1kPPKsfBsU4d3xrVtXed14zqbjsnUPODnGlu9fHnpWuUw6dryMHX+t2RvlzVb18umHVvk+9kTlQUNlamU+Z/RY5DyWc2qUFFqVq4mu7fslK8XL1Yk15BuA2TFrEXSo0cPxcFwjDaQX5wjr/O0e0+OfP7zKNm1Z7fMXP6b+s6AJo9/O+1PKffDNbEHjQd6PrDtuGy798rmr4FBWAsTIlFRteisDF0SyTyefvrpijW2zRQ6KCpUUK6MK+f3FQRaEKd7d4vk7hSpXCex/5+bT6KWqyCSUdifycHBoeSCskXKEj/77DPlx6N9dTAkx6NKgzWR9TFSORGKCwJEqjdY6PkbdI/kb2dmZsZ1HPE0IDG1Jpswzw9vFuPn9zbVKIANr/aS8wuMOcb4zp07C431VP59gsh9u/bI0pXz5bg+R8unK0JqFQhUcN4fTpKeVdsqVQEK63Rda4IdlA2pKHVOBFxTHQCWlsZsfs9TJhvZxPrMeBoGAoJEvsehhx6q1ppbb71Vqf8vu+wy9RlUDCJ6QUlHIEkZPar10047rUSuhZwL24Q8Nna9trWxjR77NhE5EEvp8InkGtSqUl09aLD08vfvKdsaqieevfy+Qk0PUTNP2rhcEaXVq1aT9g1bydJfFshvm5bKoR3byy+//KLeZ5JIJVHvJQTLzt0tn0z5VtZv26g8zqflW/fcceo18n8nDC01DdQA955tx2VjA7wD+SLDIKyFCV1NMoXh/lB0YSRriJ+RCd+oICMvLADOcErUYDWX0v+ngvNDdXAoTXj++edVqdCAAQMUkaMf7733XqH3vfbaa6q0kSCxKNhwUv7IM0qciy66SJU53n///Qlt8HXjCtuCOJMkqt/fV6t9/QalTrrRk5/AQoLSvXSBknIUNiTpua/6tute6PdHtu2qyuF4Hx6M6RpnO3bsUBt4v8vu8GP3s8Q8UfKuJASVpkjUeAhjrkM8lWmsQRCNBIusHZRnE0xqEuqvf/2rUon+8Y9/VKo1Eh94TqZybNm0FnJubSMHbSQsbTwmrj3X0O+kYCyQGEC1li7MW71Ern7l74pAPafXEHn5j/84iEDFT7dm43oqodC+YWvJKJchH8/7Qc5/5mY57ZnrpVLDGopIxY7FFJgDUI5Hwtbs7fK/CV/IgrXL5MPJ3xQQqA+ec3PaCFTA3qhoAzrTMJm8CxrhfCCfRA3CWpiQEhUD16KeJQxUumHhi+MQP/Yf2Pd7+Y5TopppLpW9UWTPzsT/r/4/ukGVg4NDqUC8Acg//vEP9YgGPACLY3qPQg6lXHGJ1nSADZnfZKbeBMa78Qo6mcnnQvT5DVRmbFr9IFDB+UedLI9+/pJ63bNVZzn2sN7qWkOk4lkK0qFIhSjmu/od8DCWTJCopshbEyoYPTf5HTgyF8fyfCTAi4e4P+ecc9QjGjinEJGJkJFBXgu5b0ysdUEkLG07T4C5hzkoGhlnAiQMlyxZkpa/vSdvr1z3+j2qzJ1E4RMX31nIikYTqEcddZR8OP079bPmdUP+pz+t/U09YwVw5et/k4fP+rMxRSrjm/0ABFZRrNmyXj6ZOkLmr1kiX/38g+zIyZaqFSsrte3xnfqUyPXMC7pyzEbC0jZid9++faoZYRDWwoSuJtnEaGbfbGodEleilitb1roBXCpQLCXqrsJ/w8HBwcFnlUQsEs0UiWoieNRZZ7/VLDr48xsoU0x8brqUqJEIVFC/Rl1Z+OT3cuuRF8lHNz1TEIBAnKRTkUpgyHf1G6aCP1Ofa0IxZEoRFA+JypzO3O4QPzhfNpKoJpKJ8awbrJG2kbum1lEvkERDiZqOa/jKqPfl1xXzpVaVGvLsZfdJ+XIZEQlUSCTUnACrm7XbNsqW/OaKvdp0VY2obn73Yfktb7XMmDHDd0UqRBeWB5wrDc7XpAUz5L8/fiLDZ4yW9yZ9pQhUfMu/ueP1tBOotpKoHBNrjo0KWds4qLy8PNWIMAhroV2UeCkCEn6QUdaeboSlCsUiUbUS1ZGoDg4O/oPNNaolG0lUE2oXNoEmVKEEpQQRsfxpS0rQCbGIAjqVXnHRCFQNGki1rnWwwiadRKpWovoNrmm8XpCpBPeNic81EewyNzFf2EiixqtEdfgdnC/IHNtIVNZBv9eFWOBeY540UT0RNBJVEzix9lmJYvvunfL0N2+o13edfp0iRyMRqKhyUarScIq5qkpmlkxf8qt6X4dGreXDm/4jQ/ufqa7n49+8Jh8uGyMTp032lUhlneQ86eofCN/3Jg1XJfz/HfORKt/n+M7sOUiG3/aKtDqkqS/HZSOJqtdYGwlL25qb5+Xlxa1ENY2kGDzMWZMZCBi83njjjcl8ZIlVotom7S41yMy/OWksFSE48wzICjxR7b/BHRwcSqcStbT5dZpQZ+pNMZ/rZxMiGrewyfRbRcD3zcrKkk2bNkWtSkolgRoLmkhNZWk/BDFK1Jo1a4rf4JrSa6C0kJmQTH5/rrZMMEGixgpWnRI1cXC+uG9sIyxNVQt4gfFH1YYp25AgnSvmBxJpEIWptBl4f9Jw2bZrh7Sp31zO7T0kKoEK9ufHoVj+wRVMWRTqPdOtxWHKH/Xh8/4ireo1lfs++rd8++s4+WXFb3LmpmVy6fFnS9Om6ScsOTckVnP25ir16YhZ4+XH36aqEn5Qv3od+eeFt8nxnfqKn2B8m1hHg0bs2npceXl5KlkfhLUwKRL1jTdCWZRE0bx586T+X0lE3v7Qgp8R5oPi4CM0AeoaSzk4OAQMZGjZZHiZwqN6MhFYsiEjqDXxuX4HYgRaOgD0k0Tls7j2lDz53UGezqaoXYpLohaXQE0Xkbp69Wq1eTehgqB81MQ+2UQgxWcyd/ndkdtk865Y39UpURMH54t50DYlqo3qyvDjMqG09zqmLVu2iG3Q9jWpJCT/N/4L9XzZgLMKfFAjEaigfL5yHTVqzp5ceXX0B+rfPVp2VM+sc1cde64c0fJwufbVu2XZxlXy7LQPZMyy6XL7KVfLwB79JJ1Yv2mDbD2wS778YryMmTNFZq9cIAcklNi94KiT5e4zb5DqWf4TYTYSgzYek66ispVErRKAtTApErV///6pP5JSBu2zYpuMutSgWOX8mkR15fwODg7+Q2dovbK1psr5IRVNBESmglYTylv2DQRbBHh+k6gElKNHj1beesn6e6WKQE0HkQpB7HeDDh3QcD/7TW6YCqS0dYHfilBTwSxzMQpyLzglauLgfNlKorIu2Nb92kbVp6nEazwk6uLFi1P299Zt26iIRua807of50mggorlMyUrs5Lsyt0tb/74ScHPu7cIkah79+XJlIW/KOUnTRinLPpFxsydIr9uWCQXvfpX6TOmm9x00uVyVNtuKRuDVL+s375Jpi6cJS+PfltW794oKzavLfj9oM795PZT/ijtG7UWUzBlixM0EpX5yUQiM549CQnFIKyFzpDTsBK1XBl7FtdShUxNou6MONldfPHF6vVbb7118MTnyvkdHBwMQmdovTYapkhUk2QmwbSJzzXZ5KlRo1DXXr/AeOOzly9fLq1btzZOoKaSSEUJSgKgR48e4je4lpBsfgd/pU0RairAjtcTNQiBo02wmUTVREUs8ry0K2TZz5BAsK3JTb169VTDplQpxCcv/EU9H964jdSqUt2TQNVoWruh/LZ6kXw6dcTvP6vTUPmPfvbTSFm/bVPBz7s27yDN6jSUiQtmyLzVi2Xcwuky7qnpqqz+rF4nyODO/aRLs/bKCiAR7MnbK2u2rJdZK+bJyFkTVFOsReuWy+69v4+jozv0kr+cdKVSxZoEY5sEr20qRo7LxmOy0ad1d749SxDWQt9I1MmTJ8uRRx7p18dZj337Qwt+opOZQ/rL+bl5P/zww+jWFfr/aCLWwcHBwUdAeLD5IfCIRkQRsKOC8VsJY8oT1VRJoCkVDUTmqlWrxARatWols2bNkpYtWyY0ttJFoKaKSF24cKFSoZog2bS/XGlpeGHKl9FUMBsPicp8blugHZQmi7aRqMyLKPUdiRobEIjsU2wr4WVePOSQQ1R1Qvv27Yv991ZsWqOe6VQfD4EKOjZtK1MXzZSZy39T//5zzwtk4dplMnLOBFXij1L16A5HSu2qNWXzzq2ybMNqaV63sSrtnzR/hsxfu0TWbtsoz3z7lnqgbu3QuLW0rd9cWtRrIq3qN5PalatLxQoVpVKFipKzJ0cpZjfs2CwrN62V+WuWqr+1cccW2bB9U4FPK6hWsYpc0v90ubjPadKsrr/JXK91lDFkm7qSeaBOnTpiE2xUx+pkNrBpLogG3xi8s88+WykXHELYp8v5nSeqGehS/Nxkyvnz1avlnSeqg4ODGbDx1puNSNCbSLLyfm6UTJUxmgoOIe5otOQ3KPueM2eOEfUOBCifvXLlyrj94tJNoBaXSEXNBik9YMAAMQGaWZnwKTRF3JlUopoIZuOxv2A+D4L6xrZ1EBKV82sbbC2dN7FeeYF9gransY04YX375ZdfpF27dsVeZzftCCV5y+6VuAhUACGKBQDVq41qHiK/bVom+6d/r85Zgxp15ZTuA6VapdA5O6R6HVVGz55gS/Z2Wb5ptcxcOEc+mfCNrM3ZLGu2b1RNoKYvma0eyaBJ7QZy7GFHSY2cCnLV6RdL7Zp2NXBiHTWRjIwFZzGQ2J6EhKNt5yvtJOo555wT8efc0Js3b07lR5Wccn6LvHJKpyfqweX8MaGJV1fO7+DgYLDUbN26dTE78fq9UdIbH78VOKYCVjbsixYtMqbeYcOZyu7B8YBgEmXOzJkzlVIn1mbXLwI1WSKVPSqBcuPGjY2QWHw+xIYfHZVtUcCaUoSaVMB63SeQgMRJ3E8O8aNu3bpqHly/fr3YBhtVnzYeE2AOggBjDrZtnwXWrl1b7LULpSfYtHWTHHV+bAIV0O1+/Pyf1Os+h3aX7I3blPiqR6uO8odDj4hYzcpah10AD8r3T+jUT0aPGyuHNG8oq3dvkqmLZsmKTatlzdYNsmH7ZsnZmyN78vJk/4GQuKtCRnmpnJkl1SpVViRup6btpHOzdtKxaTtlF7BgwQK197SNQNXrWe3atcU22EhYmloLvUBFgV4HbbMZSDuJOnLkSOUhWXRjxAZx7NixqfyoEtNYKsMpUa0r54+Jvfm+e66c38HBwRDY0ENO2RYw6TJGPtdPEpXvChHhtwIW9SDfVZdF+wVIcggEgju/SVTQsGFDpdyESPXyEPWbQE2GSKVKChVg9+7dxQQgDwgeTAR/fHbbtm1LjSLURDDLnBSrIgBSgvGpSRuH+O9z5j/On22emjYSljaqY/U6asqexgvsJbCvweql2OtXTkg8tatcXlxrNuXzN75xv3p9UZ9T5abBQ+WT4Z/LlcddKJUqxr+3Yp8woE8/Zav4h86d5byjTorqfapJVK+5jGZbnTp1EhsBicr1sglYBNIsyTbC0laf1q1bt/q6VywOUhppUAZFFr9///6FHvzc1hvOvBLVkahmlajFKOd3SlQHBwdDsJVENfW54QpYP4Hal0CejZ/fqF+/viJRTQCyonPnzrJx48aowa8pArUokcpx/Prrr4pkiVTGz++6dOlizEeNawh5BjHud3AHeWzCRsAEmamDWRPNu4DX5zJGGQOxfFMdDgZzC37YJry4bfQH90JWVpYaj9wLNkE3Sow0R5tGs2bN1DxZnIpaPFBrHQhZwM1YNlc279zm+X4aR53375uUWrRlvSZy39k3qXL9ptXrJ9VLBSKVvjRUXODxGgmQp14EKsDCh3WKvYdtYFzzMLGeeYE9BmS8beXpNqpjc3Jy1L1WKknUjz/+WPr16xfxdyNG/N5ZziG0mQOORDWEzCopKOd3SlQHBwe7SVRTTZ5MKGD5XJpTmAoA/QYlT3yuqUCdoIAEOWrUosdgmkCNh0jlNd2XUdWaLKOGRDURlBKsQNpBrPgJzjvN2PxuuMOcBPlvgkTlM70U8ozPoASOtoHzhqLaNoWljapP7jnueS8/dRNAgEVcbGL9jgWSa82bN5e5c+cmRfLqJlJnDTpVDm/SVvmSPvHVK1HfT+Oo0564Vnmh1q1WS4Zd94RUziz+XBkPkeoFqiXmz58vbdq0sUrxrcEcwHpvW1Mp9mgoj207Z45ELT58q3lDRu7wO/YdCJGoGT4rDxxSoUTVJKprLOXg4GAGED+rV6+2MogzRd5qX7XSQqJynlFdmFKjgkaNGqmy7OnTpxfYFNlCoMYiUvGyxVOWUn9TgEwkaDBB4mo/VL+DOxoBAb9LCbXlht/fNx7vOeZy5nSHxMF54x6yjbC0sZyfsW9qvfIC6sZatWrJhg0bxEZgeQLBCxmaDIFKEynW6ttPuUb9/NUfPpDHvnhZcvf+3hBt086t8s8vXpZBD18mv61epAjU9258Wloekjqv7OIQqZDIzJ8mvLvjAWPHRj9Um5td2Uai5ubmqvMVlLXQNxL17LPP9uujAoG8AiWqayxllETVqtIwoMpgk88jokJjr2ss5eDgYBY2l/ObIm8JUkwEh3yuCfLWdEm/BmX9XO+ff/5ZkUE2EajRiNRly5bJvHnzpGfPnkaVK1w7yINYndvTAcasidJHrczx07vYZNAYz+c6JWry4LxBotpWOm8jiWp6vbJ9LYsG1oiuXbvK7Nmz41bLhhOo2gN1YMej5LZT/qheP/HVq9L5tpPktMevkf73XyCH33qCPPnVq5Kdu0t6t+kqI//2pnRo3Cbl3yUZIpXGh6yZnAPbFJWAxKipig5bmzfGUhXzsI1EzcnJUdYsQVkLU2q+c84550Qd3MXxEimJ2Oc8US1pLHVwOT8LBAFXVLhyfgcHB8OwmUTlc02UC7JRNdGcgs9FUeh3cymtBKXEzsRna0AA9u7dW0aPHq3OPw2abNwEayJ1zJgxKoDgmGvWrGn0mGhqZUrZQ3BHaWZpCSpNkqix7k1HoiYPzhuEkG2Epa7IsK3hFfceHdZtAwQYakfmZhu9gSEfmzRpoixgIEa9rmkkAlXjphMuk4Y1D5FHPntBeZ5OWjij4Hcdm7SVGwcPlRO7DkhrkkkTqbpKmO8VDVwPEqTt27e3rhGRBhUl7MH4XjaBe5+ERceOHcUmMC8xfk0kb73AHA5hH5S1MKWz1MiRI+Wtt9466CZjEI0dOzaVHxV47Msve8twJGqAy/kdierg4GAGbDLIvHt1ozdJorKhNaGwoYLA7yBMN5ciWez35o/9FkpGyDgThJgG6gGa9rAphxAiIPZbaRgPaITFPcM14/7BisAUwUFwRfDXuHFj3z+be4REhwkyk+/tFbSnC8xJNitRUXk5JA7mXOZeG0lU4t947Bz8BPc89z4epH43s4u1llH9t379emvLeTt06CA//PCDLFmyRFq2bJkwgQpYb87tfaKcdeRgmbl8nizfuFoqVagoXZq1l3rV/StHj5dI1WX80b6vDVi3bp36PraR7+xH2W/g+WsTdGLPpuSOPi5sGUoliTpgwAA1UCI1l6L5gMPvcEpUw8jMJ0D37RHJ2yOS8Xs2hg3P1VdfrV6/+OKLhRUEeKlp9aojUR0cHAyBTQakFaQQXZ0jAWJPd+L1M1gicNCbRz+JNJpmMF9D0vjtjYWnJRt5E5s/ugcTuLVu3drIplh7oKJARdk5ceJEmTJliiKFbOlIy1hEsYsPaq9evdRYGT9+vPodnqgmzhuBNmSBCTsBiArmB8+qmzQAUgklqglljinvWcp/Y81H2GAEJXC0DdxDjGfbSFTWXEhBxp1NJCrHBNlEAse2MmNd0m8riarL+iEemUuKzp+xCNRwEP93bd5BPUwhFpHK/pIyfvgd2wi3cDBmTCTmYoG9qAnrmniOyzZiFzAnMeaCsham9Kp+/PHHEQlUMGLEiFR+VIlRotqUBSxVKF/5YI/TMIXGf//7X/XgdeFf5ogcCF07R6I6ODiYApt3NvGLFy+O+h4ILNYYvzvecmxsGk2V9JvwRSX4g0RNpntvcUHAyVoFkeA3ijaRgiygZJ5xN2rUKCP2CpECBqqhIKr69Omj1KfRmk35BRIg+NG1aNFCTMCUfxzJFc613wGcJm9NkEZ8Z68yWI4Ncr9Vq1a+HldJAQo57m3bmiWZ9On2AmSYjcdleh1NtKx/6tSpah5PhkC1CdE8UlHu0zDS5jJ+LXyiEsb5oQa72dWBAweUwps9ZIknUTFXXrhwYWqPphQhTytRy9iVnSg1QHlarkLU5lJRsWfX768dierg4GC4YyzqOq9gic2v7obtd5BmonmFKRIVpRlEponPhrCGjIOIMUmgalDS36NHD1WBNHPmTBVsmmj6gvqU5lE//vijUmv379+/UCMlk0Qq6h6OxYQnK98TosJE0Mn9wfc20VRqz549vpMbkCyMfS8SguQHCSeU5A6JAzsM5hwSiraRb6xHNjZxMrVOxgLzYRD6qFC9wJhDwUmlT1AJ1GhEKnPWhAkTVKLe5jJ+nRBkTbFJ7W0zWWkrubt7926VdGcdtE25Gw1JH+Utt9wizz33XKGfffXVV3LhhRfKzTffrCYTh9jl/BlOiRosX1Rdyl++koizYnBwcLCYRAUmSFSTQZop8pZNny7pN4HmzZurwBNFhkkCtWjTq2OOOUa9RpWKbyvEZrpBEE5zAtSnbMohSvGyi1T5Y4JIJeg2qTzUBIUJApd7M5zI9gvMRahf/fbMowqAEmCvBh7M4RCBlFk7JDf34ge9cuVK2bUrTOhgAWwlK209Lq4llRXxdo03BdaSnj17qvVCe6QGlUAtSqTSOIvmi8zTJEJtLuMH3PfsNWyDrn4wsd7F2n/YaOWxc+dO5YdKXBMUJE2ikq0488wzCxkPn3766erGGzZsmJpcKK9wiOWJapcJcqlChSqFidF4oAnX8m6z6+DgYBaORI38uWwQD7Ji8QGQqKgiTEA3fpgzZ07aicB4CNTw49KqVMYq1k5UMaEKTDUgaNl3ojydNGmSUlqiPo1FFvpNpKKY47yYKlljjDJWTag9TClgbC3lB9wXQQocbQTnDy89v61rYoExB7GbjvmuOIDYYZ2EULENeHxDjJlYwxMBCRmaOnJ9dVOsoAMSGL9wVIFUb9hOoDK/khS00Q+VuYg9iW3EOolMxi7X2bZruX79+kCthWVT1V3zzTffVBt4SpSY/Dp37iyPPPJIqo6zBJOowZAsl+jmUrkJEAx7d/+uRHVwcHCwnESFIDIRWBKkUaLqh/IwHJR06eZSfgNiiu9MAGICqLH43mTzbSBQw4FS5Nhjj1UNhfgb3377rSrzh9AL95VLFJAAqG8hP/mbPPNZxx9/vLRr1y5u33m/iFTIlAULFihlrKkA1ZQfKufUVHmjqc9l7nUkavrB+aMKwETC0AsokCErbFN9Mt+hkLaxbJ77lHvGBj9tL1DCj2IWn23mchJ3xVnLTAMymAQk55/mi1jx2K4IhnNiLbOlgWU42IeRwLWtNF2vhbYR5Dt37lT7ryCthUnLICk94cs2bdpU/fv777+Xs88+W21Yedxxxx3ypz/9KZXHWqKQl5/9ozufgyFk5BOheQkEvHvzu3+Wt897xcHBoXSBzQaEDOREtA2RKSUqn8vmEbWLn+VMnAetgo3VETsdATPKFEgqEw2DCIoZE6hRKc1L9SY5WQJVg+OhVJMH44IAbdasWSp4I6hnnHDtdBCNWkIrpQhOeQ1BzbUlEOAZ0pr3QWB3795dNY1K9ntrInX8+PEFvnepPofcr3w/VD4mwFzA+WZ8mPhskiqmmkqRZLBViRqtKa9DfGDewzLENhI13BfV1D0fCcxrkE+sVSbmgljHhhqVEnk4BtvIHlDUAxXSkaTguHHjpFu3btaVcMdD+NFEijGhS/gp7cfzFdio9GQ/gEUQ676NMJWsDKIfqk44QoqXChJ14MCB8uSTT8p7772nvjQ33xNPPFHwe7yebM9gmMT+/A7vzhPVIDQRqonReKAJV03AOjg4OBgC6yykEiXM0TyhCOBRv/Hw8uVLZwdgvwMKgkJUSSY8J9k0Qzaa6rquG0x5jQkTBGpRQKShxuRBEwtNiqIqJXguqubFBkATxQQAjClIMV5TRpmqQDudRCrfie+GcslkYAfRzHn0G9yTfLaJplKMMRPEBqRerEAaEvXKK6/07ZhKIgi8iUVtJVFtU6ICxiVJrHQki4oLSDuSgShl/U6GxkKkJlIk8iAddSND1iYetqkQi4LkJOcZvoa1mP2DHgvaI9VWIpWqZxSorCm2ASsK7EWovLEN7LVsJCo3bNig9ic2HlvKSdS77rpLunbtqkr42aBwc4VvDNksxcq+lmYUKFHL2D3BlmhkaBK1cLBGQIYvh35dCE6J6uDgYAnYQNJQiCA8GmEGWcL7UP75HYzo4BFViZ9AlTh79mwVIPhNFnEdCEogzEx4TlEJ1L59e/X9UT6l4vunmkAtCsYnxxqu1EKxiNIE8otKp+OOO069j6A03QF/uohUrgnEhSkVCIpMgmVT3ZYJkEw0ADHVVIrzHUuJyhjHIzhIgaON4PwxviAubAP3O4o52wBJxvzK3sA230buVfYN+EfbRKJGIlA1WJtYe5njf/75Z7Vuokq17dyGk1Y0kSLOPfroo9W6VxS2EqnMrYwN1jLbEgAADoHzahsPxnpD9Y5tSul9+c02mSttJMWjIWkGj40Q0nWaSZ1wwgny8ccfFxrIlFW4TUF07Mv3iStXzjWWMgbta5pXWInKOGbhiFgOqQlXp0R1cHCwAKyzqB+8oBWhfoPPNeFNysaVgCCd3qDRAHEKGWgyaCbQ4ftD2tlOoEYDAalOAABeQxD7FTCl2iMVZTCBFYSsKaDypZTfBJGJEh5VmYnyRuYgUyrUWPYFqCd5D8kwh+QB0Yb/IIS0bc2SGHuUqtrml8l8SpxjqhliLKCK5NhsaRbmRaCGg3FIQ0P2AWPHjlX7M7+94WOpJGkODjFKtQ7fJxKBWpRI5f/YUmFMsoRENdaSNsLWUn5tf2RbE7Ts7Gy110K9bSMpHg3FkkGSJaKE/9VXX1Wq1HCgxDjzzDOLe3wlFq6xlE3l/Al4oublFv6/Dg4ODgZBuRBqgng82fyG/lwTAYQuqzcB9kaQI+nu8h4NbELZk9GYQ1dVBIlAtQWpIlJRexGA4jVH4zNTYEwSdPqtyNTVabrzc2nxgGPu4zt7lfQyd6NeM2GvUJLAnMdaSPIKosAmkAiysbkU0L6ots6/JHwgL4NCoIYT1JTHs36wDo8ZM0Y9myRTSS5gJ4PIDfUx6tN4lZw2Eamsw3BMEMAm1rJ4jo/1zkYSVa+FthGV27ZtU/cHe6QgIW0M3ptvvik33XRTuv584JG3P089Z7jGUuag1aRFPFEJeK677jr14HVET1StYnVwcHAwCAguiC4bPdlQhLJZY8PuN9jAQiCaCFqwE+Bzi0NgFhcoDQjiIGmSUUCVdgI1lUQqXY5pOGZCAarBGCBI8dtaQ8NkUGmKRI3nc+knwT3mUHxwHvFJtJGstNUXlbWK48KWz0a0a9dOqfhNJIGTJVAjqVJpkAXxN3LkSFW27KcqmWvLd/juu+/U9yBpw5rmpT61mUhlLUaFasLzPt6KD33tbYOpqoxYYA5ibAZtLUyKwg83Hk4EkKo33nhjMh9Z4qADu3KORDUHrSbVxGhYqcNzzz2nXv/zn/8sKCcsRLhqP1UHBwcHg2DTAUnj1TiKAA4ik7nNz8w9+wQdPPq9cYO00htavz3VUJ7p7sIEqaZAiTABKGX9Xbp0ifv/OQI1dR6pnH9sJY455hij6g8UepSVmyAT2e9CorZu3dr3zybYNtVUinkvlocg99mJJ57o2zGVZDBfjR492kqy0pS1TSygjGdO4P40lWCJlQxkHZs7d6706tUrUARquCoVwg/uhLUVEhVClbUVcjWidVwKVKdcU+Z9krl8BvdHcT/LtEcqawlj4dBDD7VShQq4xlg52NhUjLmRknkbj2vu3Lmlg0R94403kvow5/nzO/IKyvkdiWoM5bMiKlE9oUv/nRLVwcHBArA5JxCCKCtqq6PB7yFYKXPU5KJf0H6sfgdoBAoQmJQqmmhMQcBER/lYjWX8KOuHWOAcxBPwOAI1dUQq1x4lcOfOnY2W8aOehdBH1WXKv46A1wSRCXHF/WeiqRSf7dWdmfdwr919992+HltJBXMWpBfeu7YBotJ0GXSskn4bSVTt+46Cc9OmTb6u5akgUMMBqUY1Ag/2YowHlOgQnowPHsyRPLPexEt2Qiyy1rDP4sG8w4M1hzWfEulUemCaJFI5Z8ybto5VAHltaq2Np6mUqcaW0cD1pDkuQo+glfMntatAmu6QGhI1o5wjUW1TonpCN6FynqgODg4WgI05HWAJxqORqOGKUL9JVIIeVBemgkOy24cddpjvn00A07BhQ9VB1uTGkOCpe/fuMmXKFBWYeV1/R6CmjkilXHPSpEkq2DNZxq+DOlTojEdTn8+9aEKJiwrLRLdfGmXEaipF6TnEECS7Q2rINlR/JBQHDBigXtsCSntp6sbDtqYu3JuQGJAsNp0zDaoBUbFzXfv27evLPJJqArUo+JvsSyith9iC9GR/hkqVf7OvY8+mE0DhqkbdSJQ5nfdqD2BNwCJY4zVzT7rOlQkilfHJdeG82ajy1PM+D86PbSC5hJjCtvln586dqiEg19VksjkZ2DkKSzhg3V05v72eqHEpUV05v4ODgyXQJKqNnmyUNVFSa8IXlc8maDXx2YCmDZTTme7KzHkgWINI5VpEgiNQU+eRys+mTZumAmB8aU2DwBxltInAk3OBys2ErYX+bBNerMy1sZpKcb9xX9oW1AYVnGtsS1Bd29ZcCvKChKKNTZwg2yAqSXbYXHHDWu7H+Us3gRoOTZaSbCOZgkgNe48+ffoUNAGEPMSSBLIJYN3E3MaYYl7X/weCGeU7hCbHnW6y2W+PVBLSjFPTSclY9j0k7WxsFKjXQtuaSm3dulWNH+KYoMGRqAawP2zTXc7SbEqpgFaTamI0ESWqI1EdHBwC1FzKlCcbQQCbShMBmsnP1uojHgsWLBDTgNCFyIJIJSgLhyNQU0ukopgi4Od8mg5YKKUnSCHYNgESGBAAJpQ5fDaEgwklajxNpfQ951A6mktBYNhIVDJH4c1Jws9WsJZTIj1r1qy0JiX9JFC9iFX2axCrqPOoZCE5oH3NIUp5kKCDME2n4tQWIpX1FLU058P0mhoN7AOWLVvmu0+s7QnFWCAuCWJTKeAYPAPYf+D3bsEZTolqDtrXNBES1XmiOjg4WNpcyiu4oIwbdQ6kginPNRPgsyG7TAGlGQoK092PCTwIxgjQ8GHTxJ8jUFNLpBIMQEYQWJpWo3BMWGlQChut6Vy6wfkh0DZRJqwbfJj4bEonY3VndiRq6sH5RHltYxMnklgkNUxXJkQCJCrWF9EqFWwApCLzbrrsgWwgUIOIdBOprGM///yzUqDaWCavgTUL97aN+yiTycxYoPlrEJtKAUeiGiZRXTm/QWQk4YmqS/+dJ6qDg4MloNsmJAlkTjTgNUR5MRs9E0QmpIIJAhcfSFRJ+FSZAOQ1RI72MTMJyKSePXsqMp2ghNIzR6CmjkiFPOWZgNJUM7FwkLhAwUMprAkQ/BJUmyq/NGUjQCDNnOOlgNVNpYIYOAahuZSJdS4WmBOwbtiwYYPYhkqVKql1CiWdrSARiBqTOQXCN5VwBKq9RCrXhf2bCW/7RKBVqDb6CrMWmkpmeoF1ED9Ukl5B9AZ3JKpBEhUC1VZZeulSouYctJnAU4kHrwtBE67aT9XBwcHBMFAX9u7dW8aNG+f5PoJ6E8El8yiBiYlSRjy0IFJMBoeoUSHYtKeZSXA+IP4IQvHtxIfKEajFJ1IJHGfMmKFIaj87SEcDvvsotg499FDfO9PboMxB+U1gZqJ8kYQRc56X1ykWHxyfI1FTC0q+SRiitrdR8WmyKiMepSfrVCSfZ5vmW8g05tpUXV9HoNpLpEKeYo8DeW66ssMLCARISnMP2QibS/lnz56t9qEH8S0BgCNRDXqiZliWESh1iFLODyFBd0MeBzUFcEpUBwcHC0E34tGjR8ckUSknLG3BI3M5waFu6Og38CxDoUDJki3lUwSgqJe5JjYHzUEAZCFjiyCPRIEN55MglmMyGdRBTJhS5nAd8CQlaeA3mGNj+bAyV/fq1Stw3YhtB3t2Gu3gn2ijGlX7otowRxQFyUaOy0bf1qLrOWQq5Etx4QhUe4lUxiJkOWsIKmmbwXdlvWGvZxtIKFIZYaIqI561koQi8UsQ4UhUA9iXr0QtW8adfjvK+RPwqnOeqA4ODhaCTciYMWM8iUIUcmR+TfmiEpwVbWrk18ae4NqkAghFIN/fdMMT7YHavXt3NWYgVFGkmrguQQdBHn63+BETOPbr1y9qsyk/wbWEHEAB7dUdPp1gjuFcmCJxTSpvIO/iIVGDGjjaDs4r9immEoax7F20Wtk2aAEJc5rNoIKza9eusmrVqmKV9TsC1W4iVZfx00ArCPsAU80b400o2piw27hxo9o/BXUtdCyewXJ+p0S1U4nK5v/WW29Vj4PIBk24agLWwcHBwQJAitEUwkudYdIXlW6zKPVMfDZBF2SOyZJ+SpXYZKerKUY8KNpEivHQp08fNW6wgrC5qYhtIFlBkIjijSCcwDFasym/gRURCkxTXqSmlTl5eXnKd9IEiar9UL0sHRgXjkRNHziveD7bqKhkLUIRZmtJPyQqazSNaGwGVhmHH364sm3A9zlROALVbiKV5C57Wchym8v4Afcy+wH8922EraX8Bw4cUPchVWLsQ4MIR6IagN5YlyvjSFSj0CX5RTxR2QQ//vjj6nGQ544mUZ0S1cHBwSKw0WQjYmtJP8GjyZJ+ug/zvU01mNINwCBYTAT3RQnUoh6pBJIomW1USNkGutxOmDBBXUvUp1pdBkwTqRwbxC7qHVOe+3xnCAoIGRPgPmdcmyBw4/VD5X2U8zukHh07dlTrIQSbiaqLIPui6uSL7WpUvaazlk2ZMkUlTuKFI1DtJlJJ5nJN8Te2sZt8UWgVqqmqj1hVKaYSirHA/ok9EnvSoN6H9l3xUoADEtpUlynrmkoZRfmsws2i4oHzRHVwcAi4L6oprzgdPJpQ6EFs8Pkmg0M8SCG3UtkUozgEqgaelTRugOSFHEx1d92SBOwwIJshG0haRCLLTBGpfA4BK4GnSQ85SmwZ36aUOVp5Y4JEdn6o5mG7Lyr3JupJGxoNRkKrVq3UGmAjAR0O7m8IcxrnoTyOZ551BKrdRCqkHwQq/49xaDu2b9+uVLOmEoaxAIFqKqEYC8zNQfZDBY5ENdhYynmiGkZGZCWqJ3Tpf4ZTojo4ONiFo48+Om5fVBRrfgNygcCMjacJsCmndMhk12ZsBdjQQq7ZQKCGB6ScH7rLz5o1y3ei13Zo37Mff/xRXUPsM7y63psgUukOTGDSqVMnMQnOE0GliYZSnGeT5YsErfGQqMzVDukDgTmEmY0kKvMGY8RWNSrWO1hxQDYGgTDv0aOHIrIgzb3gCFS7iVTdSIq9SOfOnY1VUiSChQsXSuPGjVWC3EaYTCjG64ca5LXQsXgmy/ktlH6XKuiSfEr04w1wCsr5nYLAwcHBLkCU0Ykzli8qAZKJAA5SBRWOqeCxZs2ayhPWpNKSzSyqTwivdJf1x0ughoPrAwGBUuqHH34oVuOOkgIsIFDoEjARDNIkLJ6gxE8ilfuegAQC1URHeg28FAmOTClzKBFEzeTlSZouUIZKgsirC7LzQ/UHnF8IGVuJSptL+gFzHPOd7WpUwHzHvIyqjXU1EhyBaj+RumjRIrV2kMg1kYBLFMz1NDejgsdGsNawx7SxlH///v3qnmQssEcKKhyLZwD788v5nRLVMMKJUE2OxoJTojo4OFjuizpq1ChrAzg+G1LJBCC+WrZsqZRyJrun66YY6VR7JkOghh9f7969pW3btjJ16tRSq0rV6lPIZMh3FBOJerT5QaTyNyFQUbeZbCYFOF+U8ZsqVWdeg8Q04U/HZ+OP66VKoms8fqgQCg7pA2XeXAfmQBNVF/Gsg4wDW0lK5jmSrRCTQQDq2W7duqmyfhIp4XAEqv1EKnMn1wkCNSg2J3PnzlVVKazxNoL7AK9gEwnFeI6Niifu2SDfk47FMwC9iS5roby6VCGcCN0bR3fH/ftE9uVveFxjKQcHBwsxePBg+eqrr2IGcJSdotjyG3w2ajVTJf2QTGwsTauAaIrB5jEdZf3FIVDDCWfUhBCHKDEhEleuXGmUfPYTlIeOHz++QH1KeWGyXYLTTaSihrGhjB+yiuDYlJcd55XPN0Ukx6P6YW4+5phjAkMUBBWQ6IMGDVL3m4lGfvF4dENSMqfaCvy7lyxZohTWQQDJGxS0EydOLNhfOALVfiKVapdp06YpQo1qoSCABAh7aBLNtoK5hfXIxoZX69atU3PzkCFDJMiw78yWpsZSTolqFuUyRMpmxO+LGq5WzTBXLufg4OAQDSeffLIqF/UiKQkmUOlQOuU3+FyCnWXLlokJsKGk/AoVgUlCMF1l/akgUIuqUglA6ZSLTQSeuwQ9JZVMpdkL6lsIVAK6ZNSnfhKplPGj6IDkNVnGD/AkRA0LOWQCjEvKBL3K6dMFEjME1bE++/PPP1dztEP6wXlmLrSRRAWo2FgHbZ1LuY8hYVBPBwWtW7dW1SbYr0DUOQLVbiJ1zpw5qpEUeyFTjQgTBfcrx02y0NZkGAIJSGpbG16tWLFC3aNBXwsdi2e0sZRTohqHVpTqMv38DDFBDg9eFyCcaHVKVAcHBwvBxo7s+LfffutJ4Jks6Sd4ZBNlQgkL2FjqTaZJsL7osv5UlHWmmkANHy8oZwcOHKiaKKAaYQOMWrOkALUVQR2KWxSnxx57rBx22GFJq0/9IFL5/xwzxKXpABQPXQiL9u3bGzsGCCnmFhPKGwhU7mevLsiohSHngx44Bqkqg3J0rC5MrTVeQDHNfVO0/NwmkDxjnaR6JChg/8Ncy3xEcskRqHYSqYwt7k/2FDyCApJ13A8Q9raC5DxJVexlbMOuXbtk0qRJ6r5EfRxkOBLVZDm/hRLrUoeMigepTLkuBE88Cl0jTbSWKy9S1n7TawcHh9IJgnQUT17QJKoJFQweTWzwTHmj0rSADTylfqaDa8hJFI+oH1HR2UagFj1vBA7HHXecOmYIIchUU+MoFUCxDYn9/fffq3J0GtKgiimUQE0hUkmkovzctm2b8TJ+wL0EkYs3oQmgyEVxyP1kAtwDse67r7/+WpE6QSIMggzmqH79+ql5EQLbNmRkZKixYKoqIx7gBc09ReVGUIBylooCEiokmUxZBzl4E5GsGST9KTs3ndBOVIUKUZ/KBGu6EorxNMA0sVbOmjVLTjnlFCuPLxE4Fs9gOX85V85vpRI1KvJcUykHBwf7weZk+PDhqsQ0GlCv8XtIGL/BxkmXMpoCwSubYNQqJsG5IBuPEjVZf1Q/CNRwcN7wy4NMhRDXJCSqEhubuBQFxDmBGyQw9gQERn379lVNLbyUhDYRqShNON+URZou49ddiklMmMLy5cvVWDTR5IPrpxtaecGV8vsPzjdEmmkP7GhgHWQusrlxHz6jkF5BqDzQHqjMryTDWrRoIePGjQvEsZcWsO7pEn4qcaI1m7IR+l61tUwekEBgvDdp0kRsvf6TJk0qEWuhY/EMwClRLUL5igeV6hPM3nvvvepRqMRSv0f/HwcHBwcLARmEahCVYDSw/tSrV8+YGpQNHub8bPhMkZcQgaj5TAewKJIIJCCiEiV1/SZQwwF5R4B9/PHHKwKNQPu7776TyZMnK4LcJkIV4hQiBcKXYyTYhvTi2Lt27eq7grI4RCqkJV2oId9NKT/DgTKHoNJUl2LOHePNVGDLPMYxeJVOspf85ptvVILLwT8QqKPyX7RokZVqeXxHUXsy99sKfB9RDHKf23gONSI1kWJ94kHCzOYmXqUBjB0Sf+xXWLu0Ij9SsykbQaUQY4y9DvtrW8FaSKWZ6eRqJLDX5vqzZtJgMehwLJ4B7C9oLBVsGXOJQPmswirT/Jv8vvvuU49CwbVTojo4OAQAbPBOOukk+eKLL2J6shG8mQiM2OCx0TOpRoVERnlIB3bToIET5DeEWrwNv0wSqEUJeQIiSEEaMVFGy3XFl3fs2LGKqIb483ucUeLNcUDqUkpNCRn3BucZz1OsCUwGGskQqRDTfB+O3bQPKqBMmvFqsksxfqSo6plPTIA5lGvhJYxA8QyxA2Hv4L9HOPeMrWXdpqsy4gHzDVUr3GtBIVDDx0CPHj0KGhnZTASXVJDEnD59uixZskT69Olz0NoVBCKV8cX+wVaFpz7PVGUwp9iI9evXq2s8aNAga5tyJQJHoppUorpyfns8UcObRkWDU6I6ODiUIF9UlHiQMqZK3Si1I3j0sh3wQ42KSgnCzTQoR6a8DeUU5vtBIFCLAlUVpAVehKg82cwzviBTITJRBM2ePVsRT9nZ2SkLaBnHeGLih0epIGpTSFzGl/ZGpDFWx44d1Xm2JYmdCJGKEoaxgXrNJGlZ1B/ONBlNYI4K1UR1F9eEsRzL51SX8tsy7koTOO8kUGwt6WfsUJGBOstWYOGCopPzaNpHPBECNXyvwxqADQrrg+nqk9IEmjZiqcCehmvA+hUJNhOp7A8ZZ/RKsXkOZ3xzr3IubcTatWvVvrUklPKDDNMHUBqx/wDNI8pKWYtvxFKDhDxRNYnqlKgODg52A7/KCy64QJEcEIWRQFYdRQBlbia6eEJmocBkwwyhagJ8bzacqCVtaNADGYRiCuUUPp2U+geFQC0KlAaQqDwIvPleqJnoRk1ZH/9mDPK+8AeEXIUKFRQpppttERzwb4JfCFOCGv3g3zwgJAnQIE0ZT7y2uflDUSIVghlApEcK1CAw+P69evWyIpCDtIb84XhMASIedYupe5fPZgwzl0UDY/izzz6TF1980ddjcwjh1FNPlRdeeEElVCACbQNzFM2bFi9ebGU3bY2WLVuqhIEmk4JCoGpQdQKJN23aNPnxxx8VYWfKgqS0gMQApDUkNnN0rDJ4TaSy/wE2qD5JFkLs8h1i+V6bPk4EAdynNuwPioI9IAl0HieeeKKUBDgS1QC0zsApUS2AVpVqgjQeJapWrzo4ODhYChSBZHvfeecdefDBBz1VMAQVEDd+K7nY6LHhg1CDPDS18Wvfvr0qt6Xsz4agimsxceJEdV0oPQ+/LkEhUIuC4Alyk0f4phoSDCIUtYomRwm8IAshnzSJCgHCeYBUhmitVKmSIkk18cp4DwJhmiyRSnAEkdy/f/+IxLopFSqklMnzDvHEfcB4MAESUNiieM1dqLAY3yihHfwHpAxzBcQZhH8sss0EWAdHjRqlxompsRwLjHHsKFgruedME76JEKgaJOcYA8xdfI/OnTur+9ch9esDc/PcuXPV/ioRYs82IpU5nmoa2z082TexnyIhYyPWrVun9jdYPmGlVRLgWDwD0OVa5VxjKfPISECJqt/jlKgODg4BwEUXXSRvv/22Z4lwnTp1FDllyuuMAIamKya91gjAIJPZ8NsArgcebhCKEKaaSAwqgepFrHLu2VCjVqVEHbUKxDGEIkpcAmTQu3dv5aVGAExXX5o7oDblPEDMBplAjVXaT7k6hAHfHeW2DUA9DglusksxRDv+bwTopj6f8sRYQf6wYcPk3HPPLRFjNIiAvLnwwgsVKWNrcyHufeZB7nWbgZqTxAn+libL+pMhUMPXV5JUEKgzZ85UFik2NUEMOqhOIHEEicqaRXI60QS5LaX9JDWoAGGsQMDbDM43+ygbkqyRwNxLIou4pKTAsXgGoDfGZZwS1R4lakLl/E6J6uDgYD8GDx6sSqYnTJgQ9T1sbiEQTQWXEGkQMWwATQJSjky5Lb55bNghDnfs2KE6saNCLEkEqkN8RCoKXFRTBKPhKl6TgNzn2CjpNeFDqgGBCqljShHHNeJ6eZE4kDMffPCBIvEczIHzTwCPZ7KtjYVIBnC/2+Y5WhR4ILM+mUo6FodALZrARV3IeEAFjFWBQ/HLyUePHi3Vq1dXikOS9MnCNJEaXsZv+54Lspe9qylbrFhAKIGtA/ft6aefLiUFjsUzgAP5Bf2unN8CJOKJqt+j1asODg4OFoNA55xzzlFKKC9AokIImGrwxMYPJSqEoSlQQok6ZcaMGWrDZwPwBiVQpPs5pf3dunWzfjPvkDoilcCRIA5lrpfnponAEtVc0Q7Lfh8Hqj1TKlRA4ilWQ6nhw4crktekb6xDyLIFb3Aa3G3atElsBIQTc76tatmiZf0QIn6fy1QRqBqcb6o+qIBwqtTiqU8p1dbqU85nKhSRJolUPg//dppR2g7OO2uyDXZUkYAIYNKkScqfmsRnSYFj8Qxgf34WtGxZ+4x/Sx0yDvZExV+NjAkPXhfAKVEdHBwCBkpn3n//fU9iENUAmy+IVBNgnoWQWbhwoZgEXlJ456GyswV4cXHtCPa4Prq036FkA+Kca00JOAoTW9RzqLUYk6YDS4IyFHumiFzUuFyjWCQqCSxUkDY2+iht4DoQyNtKUmqPcNR8ttzv0QARQvUGVRJ+JV9TTaCGn3dUqSgntSqVBI1ba2ODa4+6G/Up16S46lNbiFSUnewDg1DGj60MCnZsE2zF8uXL5YcffihxFRmORDWAAwdCE7NTotqpRKW8lMwkj0KdBJ0nqoODQ8CgA45vvvnG8334+rERMwV81ghusR8wBYIpNs2QlTaU9WsP1O7du6uGQnS2D/dIdSiZIIAngEPRQzfpoh6ppgBxiFoLlRGkvikw/iklhsQxZSdAUAhZ4NUECBXTV199VeICx6DivPPOU4p+xrCtJfOswxybSR/IeAFpA8EEuRlUArVoMpe4D89tlH26xN/0vGsjmIM5RyNHjlQ2SFgPpUp9appIDVIZP0B8gBDClmqVoti1a5dSKaPwHjRokJQkOBbPAPbnl/O7xlIWKVH3/q5EjQr9ngxzwYODg4NDMk01YpX0E7yhMDNVUk93dZSgpps7QYqgsjNd1l+0iRQBHiXedF+lSsKU9YJDeoO3+fPnKw9UglJIumjNpkprGT8g2cO8ZqprM+cCQidWU60PP/xQzSUkiBzMg3E7YMAA1fQG4sdGINwgOQBpaCvR63dZvx8Eavh3Yr1FUdmmTRs1544ZM0bWr1/vyNT8uY9k9/fff6+SfSSdaQDpB4HnF5EapDJ+Epso17ErsbXaYdWqVaqpX0lsruhYPANwjaUsglaV5v2uRCVwfuyxx9SjUBCt3+M8UR0cHAIESNQvvvhCKRmjAWUZQSbBiilANuCNunnzZjEJyBnK+unKagOBWtQjleCaJilk+B1KBrimdLwmMIU0DW+WZAORSuBMkgW1kQ3lowSNplSoECooserXr+/5vrfffrtEdSIuCeB6QKLaWtIPsIiAbDC5Fida1s96lQ4vUT8J1HAwt9DpfODAgarUHwUzDTrZm5RGMpXvTHUOhDJJvrZt26qmXOxP/CTv0k2kIiJg34ca2fYyfsBaSGLTVHPFRJqNlcS1sMSweA899JCaZLOyslTwEwnc6EUf7777rsHGUnZmDUpnOX9OIX+Rv/71r+rB699/4TxRHRwcggcIB7LqsdY7lFVsTE2pHFFbUiLIJt1koKLL+lEr+V3WH41A1WBjj0oR5QcBDb6MDsEG/msQO6iMsW2ItIc1SaSidiGwtMEfjhJS9vkmyywhdSBYvEhcAkdIF0rIHezBGWecoawYuDaMaxvB+kMTLFTphWKQ/2/vPMCkqLI2fAcwx1/WnMWAYg64GBAExYg5YkLMioJiFswBFRVFFERBRTGLgqKigmCOuEZUzIk17wqCwPT/vIe5szU9nWamu6uq63t56pnUdFdXV9W957vfOcdFE8bs//u//7OmTMUsNROWgJruDMaRipjKe3zllVesORnzpCSU1WEu6EsbkJ2DwN+pUye7/4XlfCyVkIppCsckjU7zLZBFpZkX9zLm91Hlt99+s1qofGaV2FyxYkRUTv4DDjjAnXjiiTkfN3z4cJuE+m3vvfd25cbPfVUTNZpO1KyoJqoQIqYcd9xx7pZbbskpvrCajZBJ+k1YrL322uYGwO0Vdlr/hhtuWNa0/nwCqgfxBkcgk2capcTBsSSyBxmI4Ti6EEnrNLOMgJAapfpwXIeffvqpCUxhBfC4v1lcQUTIxdChQ13Xrl3tuInowHV26KGH2jWHABFVcJexr2E3W2xIWj+CG/Vmi3FfioKAGoTFI+47O++8swmJOACfeeYZW/Bl8avSIGuJz/Lpp5+26wTn6U477WTzszq9QkKi2EIqgjhuY665KIuS6dcIWVNR7nb/5Zdfmgv1+OOPj2y5gaZQMSrexRdf7Hr37p23hgUr/Kww+C3XhLVUyIkaIRZoQE3Uub4mqpyoQoh4gSOKVGHqaebrDszjwnKCksaI8yNsN2q50/oLFVDTncOs7lNHlmAiCc6YSoLgj4YLBKaIEIUEp+UWUn0afxTqwyGgstBT7O7PDYF7I7EDbthskNaMYeOEE04o676JwiCgHz9+vPvggw9CH2PyuVFxNEfVMRuEhkJt27a1+1JTF/WiJqCmz09w3uLG5J6NG5D6oDibqdVcipIG5VwgwnXKAgPlghDFyXohO4K5UBTE01IJqdwLuM4233zzWIh91GwlSyrK9bb/rnH28vkcddRRrhIpTRu1CHPyySe7Y445xgJFJjjdu3fPesFwMwzeEH3XYNIrGptiwf+rTlVb/SsCnjikakQdfwwbcyyrqhawi6D675luXobnCX7Wzf+eaasOc5st6FIV/rk15ZiKzOiYRvOYJuXzoHETNYluvfVWm3hmA5cFE0pqf4XV7ZN0KibzCDhhNY8JpvWTjsS+cGyiIqB6EJQIcpiskmq45ZZbhto5XeQH4YZFAoQCukE31K3ohVQEWMAxXYrAD4cVCwiIBWGn8VPyAAFzu+22C20fmLcjlPCZ5eLRRx+1bsk0pxHRg/ssbjNSlBHqouoWZsEAoYi0/rBrERcCCwsIqYxDzDfY90oSUINwv+W8YUN8Q8RjvxGMSPvn9yy24BKMqijHOOTFODYygJjz0eDT1+WNOl5IZf4DjZkvck/n82MeFYf3DMwfmCeTMRVVvvnmGxPk99tvv1AXPktJokTUSy65xAohc6PHhn/SSSfZKtKpp56a8fFXXnmlOVzT4f/mWoUu5MZldZ3+W+WmfxTddJK4wcpyQ1n2j/fcNhST/vXfbuKTT9rvgqu+pDJ4t/I2P37nmBJMef9j990P8x9b6TTmmIrc6JhG65gmqTkPC4dMOAcMGJC1ED2OElJVESzCElGDHYpp6hBWAxlgkoo7gVQvAsNsNdfDEFA9zEfokEtjIlKnaIoQVWEg6TDnfOedd8yl0b59+0an4pVaSGVxicCUoDTsNH7gXoAoUezrryGwkMJ8MF9ASNkU3I5h3rdE/rHw2muvtdT+KN8rEXsRInA/cs1HHeYMuNapj4oo1ZB9jouAmg73BLJn2IgfESQp+UHKP3/jvsU9g3sXP4clqqI9sDBGqj4NPNlPFoY4/9l3SkiEvVhWbiH1l19+sYVC/n8cri/gs0P8ZsE8qqRSKcuQQkN5/PHHXaUSaRH1nHPOcf3798/5GD4kgq1C6Nu3b+33rKxzM6EDezYR9dxzz3Wnn356HScqFyc1URp7g2di+sZdH5oTdrtNtnObrFbYvovcxxQRhXotDV1Fqvp6Gec+udotuciCbrfddrPfBevbdOnSpfbG2vyHG537r3ObbvVPt0nr+Y+tVJpyTEVmdEyjeUx9hkESILjBRXXHHXe4Pn36ZH0cK9y4dLgXhjWxZKylHhxBFeNlmBAEkTbFJJ3AsFhlgIohoAbFbz5b6pch+PJ8fN6610QDv3jOnJVFCsQRPrOmUCohlX3lvOQ8b9OmjQsb7tEImJggwoJjwv0IMSvXMaaOIAISblQRXQ455BB35pln2qITLs+oCijEmrgCuW9EWTQJwv2Na5bxksW9QsaguAqo6XDPpMwOG+nwCF4Iqnx+OD0RKRFT2XCr85WF2mILq14wRWxjQzjlKxmwLNwhdjPv4GslLPY0RkjFQMG9mrIZjXFNh5nFQgmgKAveP/30k3v22WfN1Rxm9kiiRdQzzjgjbx2FpgRXXHCXXnqppexnSn/jd5l+z4DQlMCEiwCnzYJNfB5RhM9l4cXtS9Xcv2r/b/A56jznvPmlHVrwfxLyuTX1XBf10TGN1jFN2mdxyimnuLPOOstqiGercUVAudJKK5loQDp7GBBUIDTR2IkJcdifE5NWAkNqyiJcNbU+WDEF1OAxI4DFUcJxQwiXKzU67lNcStSwLWZqWymEVAJ+9hmnbBQCbC88hyl04dpCFMkXnA8aNMh169Ytq9NfRAPc+z169LB75J577mnXTVTBKETdTUSwMJ3YDYHFF5oekh1Bin+ue1KlCKjpsEjG2O7Hd+4fzCG8sOlT6LnHojUgwPrN/4xQxt85fr7m+c8//2zzD35Gv2BcYUv/HjienDNk9PCZ8HMU7ulhC6l8Fszl+GwwDcQF5o18vmEbC/Ixbdo0c6FiRIxqOYuKF1G5IEq5OkCQQe2SctcP84XMm1VV5o0sVixQU09kzl+1v2Lgogae/74W/5gW0a1BIoQQudh7771NQH3yyScteMwG6V2kEeLADKMBo3eAkkLPhKzQjJNSwUQQQfLFF1+0umdkszR2clgKATUIzhbEOu9KRRBHJAhbiE6y+xRHBk06muo+LbWQiuOTUh4IqFFwulCbGVdL586dQ/0cqUuJCzXX4gkNuEaOHGk1IUX0oaQb4wpCH19LcW0W636Os5H7CPeQOIBQh3N20qRJ5pzL5mivVAE1E5xfLK4EF1hIp8cR6cVPL4Aitv773/+2si/cf9h4LNBQkOPLxj3aC6/MlYJiLAsFlSqYNkVI5VhyzfN5kK0TF5EP0ZxriTl5VO9VgAOa2IFFAhYUK5nofgoNhGCByRZfudEgkHr3CDeWMWPGmKWewIKbCymgV1xxRc6UxlJR7byIGo8Lt6JpUSMOzP1fHVQmyR06dKj/2Lk1TcYWUNMOIUQ8QUijHtzAgQNziqgENExIETDDSun1HYoRJXALhN0wibEBVw0TRMQxRJWoCajprlQ+Q7lSyw9OTo47DZGK7T4tlZCKCMg+UxaisbVaS5G6yHUW1kKOd34RGHI95WLYsGEmHIXl3hcNgzGFkl30uSDlNMrurnXXXdfiVs7FuDRpQeBD0GLhEdEnvZN4kgTUXHMK7rWF3G8pX8XiN/GpFkQbJ6QyppAVggOYaz5OIjP6FrAgG2U+//xzS+XH6d+U/kFxID5nTx769etnzpALL7zQJq98z4YLA7jh3HzzzbaKRyAxZMgQd91119njy413olbJiRo+LWqC8nl/53+sF1GbS0QVQsSXE0880VLt/PiYK3AjyGHyHhbU7CI9HfdFVFxBCKm4gnCKRFFADcIklnkPTite++WXX7ZUQlEacBLhVCabBWGADu3lEj28kMp5xvXi55qF7jfpjQgdURHaccUyn8cMESaffvqpCWy5hAvcY9dff30oxgzRePi8MNlwzfp06agKkmSH0AQnyvuZDuIgIimLsZQH8khAFeUQUrmu6RIPjIfUrMZwx3kX9qJ8Q8CRzDWDqSDKwu/s2bNtIZeFk2z9hiqJ6H4SDWTEiBG1lvfg5h2Fu+yyS+3qg3cIhNU9009sm0f4QkgMzWvS1arnzd9qVvsQ3NnqiAdeaPX/RwghYgjC5LHHHuuuvPLKnI8j7YzmB6wshwmNP8gkQRyKAhwX3GaI0MwnoiqgprtSSYnm82SCS0OFQvdd5Ie5AsI6DgwCCeaenLflTrtrjJBK9hYCKmJv2IKlBwcvghHXWZiuK9y5BN35XIp33nmn3Rf22GOPsu2baDo0PsK1/cQTT5hoH2X8tUlpiTjBmINoRbd65hISUEW5hVRcnIyHLHwzPrIYHicYCyk/We65Y0P5/PPPzS1N476oO2aLgVS8EEjVpvPr8IdOiwXriaSs+NB8hY3v//f3OfX/jxBCxBAaNxI4EtDkAvcLEyMK8YcFqbzUrmIyXOeeHCKkiCFMkjKWz6kbpoCa7maiNEOnTp1MmMItyTHFhSgaBwIkLivE019++cWEAZzKYabDN0RI5W+cA3wlSysK9eH8PuGIDTtoxIXKdZ6rPiz3xquvvtqdc845kXYJifpwvp977rnu8ccfb7B7u9xwbpFhiaOTbutxguZGZER88MEHdr+UgCrKJaQyHmOcw5HKeRc3AZVxHBMBC4pRGJ+zMWfOHFucpzzK2Wef7ZKARvsQqK5tLBXdiyExBF2l+VL65UQVQlQIq6yyijvssMNc//79cz6OVHomnV999ZULe39ZiWdFPiqQWoVghYvPN32IqoAahM8TwQy3JK5JBEBqT4ZZtiFukFKLu4Wu2XzdfPPNTbiMSlf2QoVUXG24cwg0czVNKicEu5ScYOEkTMhcI3jN58598MEH7fo/+OCDy7Zvonjsvvvudm8eN26cNUOJuhhJjWAa48QprR+4z3CP4V5EbVchSg3nGvdwFo25R5NVECcwDbCgyFgYZl3wQvjyyy/d2LFjLRsj7Eaw5UIiaphOVK1YR0xEzRFAEoBIRBVCVBBnnXWWGzVqVG3B+kyw8k2dRBxZYbpR2Q9W4qOU1s8+IY4yOWcFPj2ojaKAGgS3JOIZYhtpy08//bTVDFOaf+6ghmsB4Zn01PXXX9/EaFyTUXOJ5BNScbThCsMhFhV3Dmn87Csify73ZznApU9KYq5jwzG96qqr3JlnnhnpjskiO1y3uIhxo7KYFGU3KvgGTXFK6/cp/DTzwQ3Iz9xHhSgVvgYqCyPt27e3Bo/BGqlxgP3HPICJIMrMmzfPFnZI5cfZnxSk4oXoRFVjqQhA0NN8gbqNozIRFFj944UQIsbQOKpr165uwIABOR+3wgorWIMiBJcwiWJaPw4HRChS4qmR6oXUqAuoQZikI7ax4UYlzZ/GYwjWURcUysV//vMfO+9IVeO4UEeRsgiUdYiaeFqIkEqJDkRgBA1qFkaBYBo/95wwYVGBz5l7ZC4IGgnSu3fvXrZ9E8XngAMOMBH8qaeeirxLMm5p/ek1UHHr8z37zz1IiFKMJfTB+emnn0y4ZxzM1Gwqynz//ffm3o56Gj9gxGAs5LpmzpsUpOKFgBpLRQzvLM2Vzh/8W4v4dPQTQohcsGo8bNgwm2xmgwkcqesEPWGLlz6tnxX6qICQyuRxxowZthrP5DcuAmoQjiv7vNNOO5mwRhAyfvx4C3RxCCYNnNeUsZg0aZJtuC0IyNhWWmml2GQTpQupCBo0wUL8Jz04KkQljZ85Oo5Emknlc+jSnK93796RcfKKxoGASmbGmDFjYiHscd1SZiLqaf3Zmkix/9yTvvjiCyvRE+X3IOI3bpMZxEIYY3Xw3hwXIZUyS8xx45DGX11dbfuKkz9JLlSIxwywwlBjqaiKqHMKE1GVzi+EqBBwtNCheODAgTkfR+duHCRhpxD6tH5W6BErowKpxwSKNBfCkUqNzDgJqEGYtJOmvvPOO9sknmAEMfXll182B+PMmTNdpYIT97vvvjMRnPIGvF+E+y5duthnGiXRsTFCKoEjAQ+BZFTqtwIiPWJKFNL4WVDC4UdTvVwgrLPPJ554Ytn2TZSOI4880j53rvs41E70Lumwx+SGCqgefsfcg+uNzIewF2hF/GFuMnnyZBvHEVAzCZBxEFIZV+KQxg/Ml2hSS5kRShslCal4ITpR1VgqInhRNGc6f83gjvDdLBrNF4QQohj069fPRFSEyVzgRiUoCltEY2K88cYbmxjEin1UIPAmEFxooYVM4I27uwanJUIwtcRwp5JmjZuReqATJ040NyMCa9xT/jmfEUsRiWkugxMN9wrBP0EBjkTcxnEHsYJzkvfC5xiVz439oHsy51rYafzehYqAmusz53Hnn3++69WrV2TKIYimjyt0lX7ooYesi3xUro9c92cWdsgQwcEdJwE1uLiDkMp7YVGCZm5CNAYWsF944QVbHCTLgnlYNqIspMYpjX/evHm24PzII4+4vn37Rn5/i42qoIeAnKjRTufnxkuHOf+9MVdNpYQQlQmBzo477uguu+wyd+ONN2Z9HGIBQgciEw7WMFl55ZVtBZwV+y233NKFja+Byr4wiUeQw5HKz3FJ+84FoiJdodkQipnkUwuS90kqrK9jiXsiV/ASlXQ/HGf+PRC4t2zZ0vafwIXAvtKgnjHCBsElYtFLL71kv6e2a9iBD/XUqDnbsWNHFzbcU1iYQTjPBc4bjidfReWAq/j666+31FScntzXogxjMmn9lF7ZYYcdIjHWFCqgelisQNBiUQ4hlTEz6sddRAvON0rVtGnTxq255poF/R8vpL722mv2M/XNo5LGj0kg6mn8/rgjoGKw2G233VzSkIgaamOpZCn2kaVF3XR+AsLdd989sxNV9VCFEBXI5Zdf7rbaaitzVuUSEFq3bu2ef/55E9MKCZBKndbPvrByT43KsMjURIrUaQTG119/3Y5r8+aVk8FAujVpZmw4G3GAIEYSxFAXFsGV4J7Ud7+FJax6wRSnlv+KaMr+UKICx+Fyyy0Xegp5KaELNhuiBiK3Pz+jIKSSxs95w7UT9mfAuYwAxD0u1/WK+4babzhRw7wHiuLDfeGSSy4xV1Xnzp2tpEnUYzXEXu6/LG5ShiVOAmp63XX+D/UsuQaZY0T92AsX+j2b8YPFLzJmGNMbQtSEVJ/Gj0kg6syZM8eOGyIq5Z6SeK1KRA0znT8CK4ai0HT+mnqpzeOf0ieEEOkgpBx00EGW2j9y5Misj8Olt/rqq1vKK5PWKKT1k5KFkzAMoS6TgAoIQghVr7zyitV7a9u2bUWkhKfDPIZAhI36qUysvVjJRqocwiqfFWLqEkssYZ8TQitf+T1bY0VmgijcG7Nmzar9ysZrsh9eMPViLp8RX3nNSp/0M9cMihrBeq6+RmqYQmqU0viB48QxyBdI33PPPXZeqRZqZXLYYYe5a6+91j322GPmbIt6XULuwWSGUAvS39/iJKAG4Vhzb2Lxkfs3NZIraQFSFA8yYhDc+dq+fftGZ5BERUj1afxkhcVhbjJt2jT38MMP22ITGS5JRCJqCFTXpPM3Vzp/JNP5CQKZJEO3bt3mB77zagRWpfMLISqUiy++2BwgZ555prk8s0EB+eeee87cL2GLH6zYeyETUbeci5PZBFQPYweTSx5DmiIT9cUXX9xVMrxn3CBBR0hQWEXcRIDyYifCJ2IaGSBBQZXPMRhIkK4KPDZdOPWitf//bARUnBs4YpPYOR0HLp27Oe6IpZlEjbCFVGo5RiWNn/OIdOJ85Td4HAtNuBWjXrZCNA7uP1dccYU7+uijraEcWQ5RN71wn8NVz1iDoFTuBbtiCKgenHiUJkBIffHFF20BMon3cJEdxg1ET8575lXMH5pC2EIqddkxA8QljZ9x8MUXX3RPPvmk3XOSikTUEJATNdrp/Kxqde/e3b4/4IADakRU1UQVQlQ2OExxV5133nk5a/0hHpB6R+oRk88wnSKIPrhVcOHQDAQ3ZBQE1PR6bzh3fb030seTRCZhNTgfYsz1oiobIikbf0MMBIIlAiU+b+ZOQRcr32s+VTcgIxhEWEZQySX2hSWk+vRjOiiHncYPXJ/cy/LVYrz11lvNTc0Cu6hc9thjD1ssfPTRR21MyVcjNwogolJahcUThMdyLYgUU0D1cF/nvoSwRLMgxviwF2xF+DAn+Oqrr2yuR7kHrtFinedhCanMcVgwYLEm6q53zyeffGIu1EMOOcRigaQiETVMETUGdu1kOVFzpPPPnVNXcBVCiAoEAZXJKYIfAkwuwZXACTcZE9kw8UIlwRZBHPsWBQHVwySftFD2jckydesIyuOQslVqOAaIfGyZupzjYkVs43hVYjmEYoOI4gMyxJ9CxOVyC6k4kbl+SEEOK/U4yK+//mo19UijzOd+ovne8OHDlWJc4XD+9+/f3+2yyy62rbbaak12u5UarnUW6Ri7ETbLUR+1FAKqh2uMewQlYbhfMNZyb4rCoosIZ3GQ8i+MH6VqPlZuIRU9iCwb7i3lMgA0FbKJ6EXwwgsv2PWfZLR0X2a4YPgHVUrnj1hN1Bq3aSbkRBVCJADcgqTzn3322bULftmCTFKPaFjDpCpsEIJo4IQ7FiEpKgJqECbkiFUIz0ycaVAjRLFAzKAGL+IJ5Tga4s71QirnN406cl37TQHXMQEqongUmmfwPumGjItv0UUXzfnYAQMGWLmTeo1HRUXC9UCpCRxX3LPjAAIjItDnn3/uvv3229gKqMF5BgI2CxykEE+YMMFc7CJ57lM+e8o6cC6UQkBNF1JxQSPgl9rRSZkj5q5xyaah7M2DDz5oWWtcm0kmHp9YBVGdqq79Xk7UqKXz5xJRfU1UOWGEEJVN7969bfLoa0NnY5lllrH0I0SXKMDkl9Qimg3gWoiSgBqs94bDFzcFzj/S14VoCpQ+QAgkuKEu8BprrNGo5ym1kMp+cm2SDo8YGQW++OILS6dce+21cz4OsYhmQ9dcc40c5AniqquucmPHjrUa4FFYLCwEri+cerj2EGjiKqAGQTzj3sZ9gzGYkgVkKYjK5q+//rLGnJxvnNM4k8uRkVIOIZVGUpgQKL0Rl/raP//8sxszZoyVvznvvPNc0pGIWmaqA5PSZnKiRrKxVEZq6qXKiSqEqHQQU6677jpzpNKYJhe43nB+RsUdsuaaa1rtNFKafT3NqAiowYCQWpAcZ1KiShXoisoHZyfuU65BmrFkqjsbFSGVOna4yTbffPNICJHsC8E5aZT50vNZWDr44INNyBHJgUW5k08+2d155522UBEXcOpRZgfXd7EX6sotoHq4Z1Cqx7tSSSmePn162V5flN99ymdMfdxSu0/LLaQyr2YhgLEwUxmjKOIXQUeMGOGuvPJK17JlS5d0pOKFcBJ6msfEul3xFCSi+nT+eKwWCSFEU6CpHgHkRRddlPNxrKAjpJJGH4X0dF9mgBpTpMwXQwQqpoDqQbRhAk39Wbqcljr1UlQe1OhEhMeZs/322+dNRw9TSCUgJhAlKI1KbVvcNASC+YLzcePGuYkTJ5orUSSPCy+80O7PNJmKymJhIeCuZlGFBcVijc1hCajZXKlvvvmmjfNypVYOYblPyyWksgDA4gYlZKhdHhfI2rj//vvtmBxzzDFh704kkIpXZuREjWlNVP+3FtGY/AshRKnFyEGDBlk3agTSXJA+TC22qBSZp7YUNaZ+++03qzkVNQE1eIwJdNlXXE68Ds5CIXKBqEkaIA1kqLPL+VPspjfFFFJxyXIPYT953ijw73//25pJ5WvmgYuvZ8+e1lCK4FEkD9LjKeVw1113mfgRhcXCQscXutpz7SICNXUxJAoCaiZXKtcojkUWakpVy1mUHq4rxjU+SxbnqUdcbvdpqYVU7+akrNO6667r4gLXGAuJ1EK9+eab1VixBql4ZSYVqIkahXQmUd+Jys37gQcesK22TokaSwkhEgYOUwQE0hnzNZnCLcBKNZ2uowD3bia+TMoRgqImoAYhUCBgwE1DANHY/RWVD7V0J0+ebIJBu3btzI1VqrlkMYRUahPjhGvTpk1kREiuM+pFsk/53LuIZwhGJ5xwQtn2T0SPQw45xK61UaNG2ZgSFxA7qLnIogHNpipBQM3kSuVaZsGU5kPcrySmxgeERcazZ5991ha2WGwjS4eF+ahQLCGVxUTKTDFfjpMGRCmeu+++2x166KF2HMR8irt0LQp2otJUKk4XUJIaS+HoIJW1DhJRhRAJpG/fvhY83nvvva5bt25ZH0dgxco6qXUdOnSIxEo1taaYjFN7inTnhgR/5RJQg8Egk1Mm6BxDmg7gkotSICHCA1Fg2rRpJmbg/OaaLLb7NJeQShM02HDDDQueuxIsIqCSstjYZlelSuPnfeXbJ0Qjar8R3EfhfibCz8xA4GEswQEeFVd1oWML1zCu2uWWW64iBNTgZ0ODS+4z7CdCF0I35YiaWiNalHZMY55FQ0S+Z2zhM4yqNuKFVNzowD2gIWAyYF5H7fJyjN3FbCb12GOPWbbUQw89FPbuRAo5UcvMvOr5aSBVSuWPVzq/RFQhRAIh6KLJVJ8+fawGYy5ITWdyGJW0fmBSTt1RJr7UooqigOoheFhttdXquFLjVINPlNZ9ikCA+5Rgs5xBWGMcqTyGxQD2k8WAqATGOPJYqCDNOd8+0UzqoIMOsmMuBNfdSSedZE2m8pW4iRqkD2+yySZWQ/TPP/+sGAE1vYzPWmut5Tp37mzZHYz51NbM1xxThCPMMaYhzPGZUZZh5ZVXjsw4UWxH6k8//WRuTlzhxapdXi6XMPcMSplcccUVWpRIQ0peSE5UNZWKbjo/7gnqfrDVdneeV1O0XCKqECJhHHjggebq6NevX94gJmpp/UCXYlypuOJq7+kRE1AzOYc45uyLaqUmE4TIzz77zJpHLbPMMubwDqsjbkOEVP6G25OaxDj3uC9ELY0/n4vwySefVDMpkbHJFOLJI488Yq6yOIFzjjqiCIuFLCjGSUANwsINYz5i6uKLL261oxlDZ8yYEfauJR4E7VdeecUE7hVWWME+ozXXXDMyY0QphFQWLRAiWUyMW0d7sl8oYcJ+H3vssWHvTuSIz1lbYTVR1VQquun8TC4QDdhqJxpza75KRBVCJAzcARSTv+2222rTegtJ649KAw72H1GUiXquxiBREFDTXak4NORKTR4EXi+++GJo7tOmCKlTp0614BLxpbaufATACVRIGj+B/vHHH28CakNTn0Vlw/h24403uttvv90WNwrNbogKLMyxoIiQlWthLq4CahDuPdw3O3XqZOMpYyjCF85+UV5YUENIxH3K+bTTTjvZPDHsMa3UQirCPXNm5nIsYMQJMs+eeuopM5QNGTJEJW0yICUvxJqoIobp/C0WKM8+CSFEhKAG48UXX+y6d+9uzWLiltbPBJBJL+lJOFLThdQoCai5XKkEInLUVC4I5lw3uCCXXnrpUN2njRFSae6CEx3xBRdYVCCNn6YlhTT0OP300+1+d9xxx5Vt/0R8oGcCwtywYcMsHTlO+AVFxhUcqdxvKlFADUL6NLXRqUVJJgr3VkRk7glqQFU6mGt9++235gRGSKS+O9cNmQCVUOs9n5D6119/uZdfftlKSjF/i9tn98Ybb7hbb73VytpsueWWYe9SJJGIWmaqa5yoqoka3XT+jNSm80fHVSGEEOWEyRQ1kS644IKC0/qpBRUVEHbp5IsDBzGSiWKUBdRMrlTEYBw1BO+zZs0Ke9dEkUDUJ3WOJkZcMwgYpP9F0amTTUhl/yk/EDXxhesdZzzBe756dOPGjTPnDU7DqNfnE+FBZgZ1UWm0Ere0fsZnRJEFFljAhNRgiZtKE1CD8H4Y43FBUiOWhpOMpZ9//nlGMVk0DuYlLKaNHz/emkZR67RLly5u4403NvG+ksgmpHIMEI7JZGhIM8aowDh+9913270iXxmvJBO92VmFIydq9NP5M6LGUkKIhIOAN3z4cHN17Lvvvm677bbLGbAgWiBO0igpKmm9BI6kR+MQYN+Y4BNMRVVADUIAgjhNoyyCEwQ3vsf5y/sS8QMBErcO4gXXF58vTVGiHnR5IdWX9+Bn3gPiC+nCUTq+XN+IJvnSKX///Xer+zZgwABbtBAil3gyePBgK/tAkzLGw6iMcYXAvYZ6xZS3YWNxkY72lSqgBll44YXNab7OOuuYO533TA1nHIPcI6g/HfX7b9TgPouzl2M5ffp0W2xHNKXuaaUfSy+kch0BwinjIucRxyBu7580/qeffto98MADVn4hTve1ciMRtcxUV89PIYxTEeWKpxAnam1NVAWqQojkQsOGSy65xNL6WX3P5eyi9iBdWBExCNKiMpkklQwhlZp2uOlw5URdQA1CgMukneZdBH8ELtQX43irblV8gk6CTcRwXFAE9TR+ico10hAhlesINxvfI1ZGCdyxBIWURch3bM844wxb+DnmmGPKtn8ivuy///7mWqZWOAtZiJJxApc74wip7RMmTLD7ENdwJQuoQRgrWSxh4x7BOIoQhsjK75gT5GtAl/QxjOPGHOrrr7+2nzluZFDEqQN9MYVUnN2IjgiohZSOiWoa/y233GJlbTAXiOxIRA3Jidpc6fwxTeeXE1UIkWx69epl3YnPP/98d/3112d9HBNIXDrUICM9COdHVECApCkIARNuFBwTcVvcZKJO0IsDBDEVwSiOYlzS8OI3DU7iLn4jBBN44YQmrTlKLi6amXh3bL4afKTxk5pNinZU9l9En0GDBpnwzrlDVgNuxrgJqVyzjB0sgCRN/PIgHOMa5LPkPkZ2AAtcHA/mBmxRureFWXbml19+sSaXbJRKwXnJseNr3OZQxT6HmE/SM4BjEcdzhXn6yJEj7b7Qt2/fsHcn8khELTO+Bptqosa1sZRs7UKIZOPT+llpJ41x++23z/pYxBWcnqQ30SCHQCRsfA1U9ov9wYnD6js/x03MYqJO+jeTdp8WzkR4/fXXT0QqXZyg6zufDzVPKcOAcyXOZRg4z6h9h0iJ+8an9kehBhyuOuoe45zPd89RGr9oigMN1xbnD0IS7tQ4pb9yP6KWI6V5PvjgA3Nicl+KYi3mcsD4zyIkG/cQ7tWIhTSjBMZaxlXG26QcI4RSFss4DizY8r45Bptssoml7cdtzlQKfBMpFiK4DzCfZAzkPIpbGv/999/vXnzxxVjdx8IiGXeAKNZEbabAJqo1UXEsIBD474N/Uzq/EEI4c9Bdeuml7qijjrJ0/Vx1EJlYIuohapBWG2Zn1kxNpBCBSMMiUGrbtm0sgwI/YccJRVoipRYIitdaay37fZzFujhDiiPBJ81LcKBSc69z587mWIkzU6dONfca187SSy9tvwvWSA1TSOWYT5kyxS2++OKWZp3vsaeccortb48ePcq2j6Jy2G+//Sytf8iQIW7NNde0UjFhLyIUQnoTKfYbEZVFRcrvJH3M4P0znrJxn+D+zb0chypzCARExEQWh5dYYolYfOaFuk3JkqAUE++X9835wXyJbCLmepXyXosloPoaqD6FP1gjNQ5CKuV4eA80zOvTp4/1PRD5kYhaZlKp+U7UZnKiRofmC9URShk4EQbq4F2qSucXQojatH5Wro877jh333335ZxYI+bh6qBLNkJlGJPwTAJqsEYqQipbnJ04CMC4HAnmKVOAeEfQh8OOz0A13soDLibqxHH8yUDi88DpHHd3B2KCF18QTYOLJ+nNpsISUtk3Av9C6qCOGDHCPfPMM7boIGFANBbcqAgod911l7lTo1S6phABFRjzEE9ZTMRVx5gY5oJnlODegFjKRsr/n3/+aQIjqf8sVgLHkQUlv7GIE/X0dgRTHIhkSeDIZ+Nn5hG811VWWcXmSzS1FPWZMWOGXSu+pIEfQ9KbTUVdSH3//ffd0KFDTQhWGn/hxDNKiDHzatL5m2myFh28u7SQdH6JqEIIYRAgEDRS95TmGoip2WByyep2WPVRswmoHhbPgk4chN44C158NkzcCYKoDYmY9/zzz5t7BjdkHGvAxkFgJAj96quvrLQCQfUGG2xg51slHGveH8EW4jzpv7iv0glbSEU8RdRADMp3/VKXtmfPnlbfOU6N5UT0INuChcQdd9zRsjQwYkShdE2hAqoH8Yyxj6wRL6TGeRwsFd7lzsZ9Eecm937ESO7///rXv+oIqyw28RUxkrlGuRds2EfS8qnX6cVS9hXBFPHc7x/zMr5SC1aLSrlBSGecw6mcaZyLi5DKXIUUfhpEYnJIugO9IUhELTPVNU5U1USNbmMpbO24q6BLly7zHUm+sZRP/RdCCGE1wu655x635557WsBFZ9Zs4GohQKPeEsEF/zcKAqrHO3EoTzBp0iSbAMe9UzETe4J5NtLOcEcihBHkMalHUCUgFE1znVJXkOCZIBXhGpHRp7lXynvkGsJ5w3vLdc6EJaRyfuOio3QIiwW54HM68MAD3amnnup23nnnku+bqHwYOy6++GJ3ww03WLO4PfbYI3JOzlwCalBI3WqrrSpqHCwl3Ns4PsFj5IVV7/BkfGDcJb5kQQ1hmpIufsv0M4/judn4nucEMht4Hn5mw01Kk8xZs2bVbpl+5rGcjwimbBJMGw9ZVdQ95TpnvMl2/KIupCIEP/XUU27w4MHuzjvvtPmgKByJqCHVRG1eAa6EisE3i6oRURlsmPz4G8x8EVVOVCGEyATuG+ooIUrgYMmVMs6knbRHHte+ffuMbrYwBNRgAEnaNQ1zJk+ebO7ZSnGp4YKh0Q5OKYIARL8JEybYZ8J7xJ0qQbUwmCcEm20QQFMugQ7dcS0FkQ3mQQSBBNtcs4U4VcotpCIkIKCyMMPnkI/TTjvNzvtLLrmkZPskkscZZ5xh91RECRxqCChREagKEVA9iHaMmZU4DpZbWA0KZyxGZRI4ucdSg9T/DpE0G4he6SCOpguxjOXpwmyljU3lBiH6iy++sCwGDAOFiI5RFVIZM3GbDxw40Jzze++9d9i7FDt0NYVWEzUag6ooMJ1/7uyax0pEFUKIdPr162fpQDRp8Y35soHQRBoZk0pEmVK5dRoqoAYDIMRGBF7+P44NhMeoBMNNhfdBDS82AjaOk2+YgVCGmMpGimolpKEXK3jydfDYKJHgm220bt26Yp1aCMQseBAsUpqgIddAuYRU30iKczVYly4bo0aNshR+/o9EBVFMOAdxdFHihgwN7rGFiPpRElCTMg6GAQtQbPkWK3Gbsnm3Kd+Tjo9A36lTJ5szBV2qGqdLD58BGTyM/1xHDSnXEUUhlbI3w4YNs3Pp6quvDnt3YolmDyE5UdVYKrrp/Bnx6fxecBVCCFHHwUnQSPB49913u8MPPzzn4xGeEFIRaEiDLHYQ0FgBNQhOIoQgJr7sKw7aShNdcKjQ9IgN9wuiGUECrj5ABOD4EQQkrVYWQZPvyMxGujjHgQAIt3IlN9sgcPdNyTbZZJNGB33lEFKpsYyLa4cddrD7UC4+/fRTd/zxx7uRI0dGIpAVlQf3iHvvvdfttttuJjweccQRoZb2aIyAmrRxMGpkEkb9vQ1HadLG4rDBLcycCPcm40xjxv4oCak0RHvooYesdCHzZNU9bhy6C5YZ1USNfjp/Rvzf/GOFEELUc5jiwjnooINMZKJWVL5GU6QKsiKeq5ZqGAKqh9phTJqpf0UtVybBlSqeERgTMLMhouG25FgShHM86dZLurRvlFFpgTSiKW5TathR7oB0fQJZ3jMdmQmCKu09Z4JAEccN77+hjptyC6mI21OnTrU6rSwI5AIRnHtTjx49XNeuXYvy+kJkgjHj7LPPtlTZ1VZbze26666hCBVNFVCTOA4KEYS6tgifjIOYBJoyB4iCkEqtXsTTQYMGuSFDhlhzNNE4Kn82GDHmVSudP3J4d2khIqrS+YUQIiu4b6g3iEjByj0p4dnATcGEkjIABHjFKGpfTAHVQ/BLEIqwxL7SHCuqnZdL0ZAKAZGGQghWiIu4+XBmkObpu/rGTVhFMA12VOYrLivgfSAY45Dm/E1S+irlHbhuEdEb67gpl5DK58W1jjMun9OP93PMMcfY+7nqqqua9LpCFML5559vNQevu+46u49sv/32ZU27LpaAmuRxUCQbHJs0WKOMBa7yYswFwhRSKQkxceJES98/5JBD3MEHH1y2165E4jHbrcCaqGosFbN0fl8vVen8QgiRE5q1vPfee+b6evLJJ3MKa4grBGOvvvqqOclw/UVJQPUQ/JLWjMBGYFxoU4FKgc+pVatWtnlXnxcfg8Iqtd6Coio1Vvlcw6rZhnjmG3n4/fWCKQGR30/KGfA9+58k0TQIx4XAjs72OG7ypcaHKaRy/nHP4HzEAZ8PgkY6jVM+RKmLohxw/dx3330mmAwdOtTuL4whcRRQPUkfB0UyYN5AhsO0adNKMp8MQ0hl4Rgn+Q033GDvh6+iaUhELTOqiRrldP453DkzP0ZOVCGEKDjQouZgu3btXJ8+ffJO1hBtcJMxwWts+nApBVQPgg9iG0Ib+4oQh0sziU0dcPSx0YDKg1DpRUpqVFKrkt8BzQuCXYKDXYP979h8o4xs4lqw0Ua2TsfpP/N4XM+ICQgZNHpJumCaznfffefeeecdayRDel+pjksxhFTcNK+88ooFouxvPsaOHesuvfRSE1GbskgjREPhPvP444+bqx2xn3sQY0gcBVSPxkFRyVAbHvcpi664x0vVNLLcQuqHH37obrvtNvfFF1/Ydau6uk1HImpoNVE1cY8MQXfpvL8t2KNWCNR2jVZNVCGEKBhSvQket9pqK3OrUIcwFwSYCF5MKKlvyP+PkoCaPvkl1Zl9xQ3H68rdNr9JFaJqUFhF7PTCZrrASTp9utgZxHcfhqeeesqeKx0vzgaFWc6d9N8V21VZKXBMEV0IrKhjHPzsSkVThFTqtXLd8Rw44vL9PwLHbt26uTvuuMNqMAtRbhD6caTut99+dn3RaIqFwzgKqLnGQe4ftTGTEDFk5syZdj5zHnNul/p8LpeQ+vXXX7tRo0a5Rx55xBzklCsSTUciapmprq5xomrFLjoE3aXz/nYLLLSEO/nkk+s+BpeqPVYrN0KI6AsjuLXChgZFTNpOOOEEazKVT8Tg8X4SS0CWr1EM0E2exlQbb7yx1Z3zzsdSgyiHQEz3curDtW7d2jrZi/ogdHnnajYQUHGW+vPXO075HSnYHGucE15YZaNMRCFzKZ7DP3cpINCK45wOBxnuU5w37du3b9DCRRhCKucF5wJwf8h3zH/99VerzXzqqae6Aw88sIh7L+JCVMZCBJlrrrnGxHyEkk6dOlmpk2Ly+eefm6Pci5nlGAv9OMhiBU7vDTbYQHVSSwRjGGMenyuLSVGD8Tmui5XMNbh2qPfLgj4L/+Ua00stpDIOPvbYY+7GG29099xzj421ojhIRA3JiarGUtEVUTMyb3b9xwohRMQgYMRVlsm1FwYIi3feeaeleFM3M1/jISbhTCp5Dz69OxsEErxfJp00PuL/lBuEJ8RB0teZrBK8KtOkuMEN7i2Ob1SPK8EW6a1xcWFxb6DUwieffGL7zQJAGMFvQ4RUzoN3333XrnOc6vn2F2EY4ZTnvPjii0uy/yLaRG0s7NChg52PiGG4RVkkLNY9jefknGchkhrVbOUE1yuisG8+6Be8RPHHwm+++Sayx5byFexjVPcvE4jSiKe//PKL1QLnGio3pRJSqR3+zDPPuP79+7tzzz3XFhVF8ZCIWmb8YK6aqBGiWfP5W/U8ayBFYD558mT7E/VQrAlYrRM1HkGSECKZk2xS2xEYmIRFxR3HftHllAndaqutllcA4fE4UoHALNOEnACZyS+BaBTEK8Z23h9fEX+jsE+VAMfzzz//tPp7UTmf0/ePc5vrjnM76sFj0H3a2PrDYQippCkjzjAny3dtcf/o3bu3mz59unv00Ucjed6IZI6FNGFC2GV/WGDMNr41BMZBRFSeK2wnIPET+8PxZxxU3cVkjIV+zkZmEJSjrFKx3Kc0QaW8xo477hhqWaZiC6ncE3CHX3vttbbwiIgqiotE1LAaS0XsBph4mi/kXPVMc6IyAejYsaP9mgFrsYUCk4AWCoyFENEEYYSJLCvpxU4VbCo43nCiMmmlcU2+MRBxlPsvQRlCSzDQREAloMD1ECWxEkcqE1fEVPabnzXWFycdl/MhqseS4AchlesvqqJBVNynjRFS6ZCMc49AMFdJCA9p0w8++KA1nypniQIRHaI8Fq6zzjq2KEDjGu5rTRFSGWv4vyyGROV65v34+tfsE9ds1BeX4kDUx0J/b0ZIZYEgKudjPvcptbXDcJ+WUkhl/sn4x1jI50AZEV2DxSd6V2Fi0vl16COFd5jOzZDOH0zxlxNVCBFRfJ2sKAmLHib9iKcEtwgi6U2E0mHCh7jiHQ7+8QQR/EygFrX3yT6zTwg37C+Nk6JQj0+UFn8eRrFOnXefkl1DGijuUzppRy3A9UIq7sH333+/9nqnzuPUqVOtu3khguiIESPc5Zdfbo3ISt0FXUSXKI+F7NO6665r1yVlShpbuxQBlfEFZ2KUrmfGQd/gj8+BcbCUNalFdPALFlH9vL37dMKECXae4j6NioCaLqRSvoYxuzHvkdrhAwcOdN9++6174oknIreQVCnIiRqWE1UrAtHCN4zKVBPV10O1x0VvQiaEEEGiuuJMoOddOEzuVllllZz7ivCKuIIjFeEUl19UBdRM++1dqXyVK7Vyier1hnMJFyciZNTcp4U4UvmZxm3t2rWzpnH5IFg85ZRT3JgxY6y2nRBRvTYRGRkLuTa5JkknLqSRYtQF1CDsF/uHK5VaxozZcqVWNlH+bDkPESZxn9KIlAZSUaWxjlQEVBy2Q4YMca+++qp7+eWX7d4iSoNE1DKTkhM1mrRYKIeIWrOixmdG7VQhhBCNAiHUC6l8TxOCXCA8Eoh5N0vUBdR0VyqNtBB+2X8CyDjsu4g/nG/UPkVoiULt04YKqS+88IK51vm+kH0ndfHggw82J6ovxyRE1M/1Vq1a2UIH4xxiRyHjQxwE1HRXql8A9eNgVMueiMoE9yniYhRqn5ZSSGVRZvjw4VYLnOwTajCL0iElr8zMq2ksFeXVmkSSy4nqU/y90CqEEKLREFSRzkjqLumM+UBMYYWdcRMhNV8pgCi6UgkcCX5x5JSrWzSBNiUUcCOExTnnnON69uwZ2usnDc4tag8jQrZs2dIExbgIqB5q6vE+EFqoNZvvev/www/dHnvsYR2I999//7LtpxBNZamlljKhg672v/76a9406DgJqJlcqYjEjIHBEj3lQGNhMsF9+sYbb5iAivt0q622ioWA2pjUfhrW3XPPPW7YsGHu8ccft9riorRIRC0zqoka45qoSuUXQoiigKMUF87XX3/tfv/996yP8zVQTz31VGsk5TvTIqiy0Swn6gRrpQK18AiGSy2m3nrrrZbGjRMxCPXAEJ2YoCNo8zkcdNBB1snVM3HiRNvvTJ/NGmus4W644YaC9qFPnz7uzjvvtNqWonQgSFAi47nnnot07dN84MpDFGX/27dvX69Gajq81y5duriTTz7ZnXTSSWXfXyGaCosdpBYjpHK/ZdEwl4DKWEiGgx8D4zIWZqqVyvsph5iqsTBZcH4xljz//PN2fuE+jXL6flOFVBYb77//fnf99debkLr99tuXfT+TiJS8kGqiNldttBil83sRVeknQghRLJZcckkLQggqCKjSCTaRQjjdZZddLC0Lpx0BIxPHTM1jotrMybtSEYIJlHnPOCVKEUTynIMGDXI9evSo8/vBgwe7Tp06WeDOpJv0L1K/CC579+5d9P0gfQ6R65Zbbin6c4v5nzPOTZyniI84vOPoPgWuac5HX34gW7Mpz08//WT3hF133dVdfPHFoe23EE1l+eWXt3sl53omITXoQEXQ47znscEtLmOhd6XiCOR9+VI9pRJTNRYmBz5rhEbE06+++sptttlmsXOfNlRIZfHlwQcfdFdddZUJ+nvttVdo+5k0pOSVGdVEjX46PylkV199tW1Wt0dOVCGEKAmIJdR6QhilgVQmAdXXiWMiTCfVtdZayy233HK1AWWHDh2soUyvXr1qAxVAeEFg4XEEqYcffnid8gGkFR5xxBH29xVXXNENGDDAnovn8fD8o0ePrrPPOGKpvehhUnvggQfa73k/TGK//PLL2r8fddRRbu+993bXXnutvQ77cvbZZ9v4gohKEMl21lln2bHgfZJ6ePvtt1tQwPf83yBTpkzJ6T566623zImx++671/4O1y/vjQ1HDO4MUklJczvttNOso2tD4TikO6LYLrrootrH7Lnnnu6+++5r8HOL3JD+S3oqnxtN2hAE+DzjVi6Kc/yDDz6wewACRrCJVDYhleuY90vKImJI3N6zEOnglGNhkcXBoJCaKYWfMYJ64sGNv8VlLOT5WUBlLGfc++OPP2z85z0zJjI+aiwUhcK5gZiIa5hmhOutt54tJnJdVMrYkElIZQEVAZVFxPPPP98dc8wxYe9mopCSF5ITtVIu6orBC6Tz/raA/cwzz7TNgneJqEIIUdLJISIQIgrBXCYBNVOzKcZRL7wSCPFYOnuTukcQSmCEE4GA6KmnnnLTp0+3AM/DPR4H32OPPeaeeeYZm4C//fbbDdp3HDQEqqQoUsif12ffcAoFXUCkDRLI8ZV9ZSPtiv9HoHjkkUe6UaNGueuuu84chXRX9e/x6KOPtmYBQfiZdGeCykywL7gSfQkBePjhh21/CVoz0Zh5CamPQTcU74FUU4QvT9u2bS3VPBhMi8aD4P7666+bgIpQsdNOO9l5ELfUfaCkBdccwhEpiIgv6aQLqXRX5j1zfo8cOdLONyHiDvdfhDyEVM51hEXGwYbWQI3bWHj33Xfb2MR1zHh+6KGH2jhy4403miCmsVDkW0zkXKOR4mqrrWaLa3ytRJ0lKKSy8OgFVK9ZiPKimUeZ8TXQCAJFhGi+UPaaqHNrCr23kIgqhBClAGcpboJPPvnE3Ka40dIF1LFjx1ow5cFZQxCGe2Wdddax7AHPZZddZkHjFVdcUfu7O+64w9wt/jVwtyDCMOkGngsxtyGQBsi4TjF/P2knqEMMIhDdeeed7Xe8H1IKCYRbt25trhjqVx577LGWdkYa4RNPPGEBF/MDgmkvDuHe6devnwlnBGEEf/fee289R04QnpP3GIT3TYCOOyMYTCLgBrucb7TRRrU/ZzoeBPYeGmaxAYExtSk55ohcHr8f7BPuI9E4cKSRcooLhSCxc+fOVscvrnDd0vRj1qxZJqDmei9eSEUAOuSQQ+x6R6RQl29RiUIqIhula7h3cs9OF1AzjYUIKhDHsRBB9fjjj7cx4pFHHrHxkMdzT8Ct6tFYKDzUlkdkp6wLtWwRF5MwHiCk4rR9+umn3YUXXmhu6nPPPTfs3UokElHLzLzadP7KWyGJNS3+l85PQWq/Arv55pu75vNmz/+bnKhCCFEySDMEXGm+k28Q0rOC9cR813tER4IdRBkvPLJST2AWDDQ9BDg+RZKJtwdXH5PThsDrkEYYdLkAwhCv40lv8kPK5HvvvVebjsjfCLb4SjojjhzeC++PwItAk8CXwHHMmDH2mAMOOCDrfvH+MolS6e4MnEO8PgE76ZuMf+kunvT3xuPSwTVFgw72M90R4QPLYMApCofzFJc23XcJ+rkOMp3XcYLz99VXX7VzfLvttiso+OWauvTSS632I4JNEgJmkTy4RyOwcb3jaOTnpZZaqo7jOtNY6Nliiy3qPF+cxkK6qPM33KuMRQhlZGqwMc5rLBR8nh9//LE5ellwiPtiYkPBRY5bnDIRlO7o27dv2LuUWCSilhnVRI1+Oj8DPoMzEMgupsZSQghRViEVpwiOmmDgR6CYKWWP4Irgxu7Xiy1m4grfU3+sf//+9R5P0FZoJ2MCrfSGF7hfPLwOQSup+ZkcA550wYfn9ZkpPrDy74WfCRoZi0jdRkzu3r27uXDovoq7h9RByh1kg3p4PjD1cDwJ8Kgd5h04HF+OabaUaASr9BTr9McSbLI/OHuGDh2aMd0u/XiI/CBs4EjjXOUzQGzMlO4eNxAQcHlxvthCdQFpytRvJFjGlUZNwUxlPoSoFBgfuPdy/bOoyBjEte/vvdnGQv+3IHEcC7knIIyxMOrHQS+mUveRmq4aC5M3HjIv5JrgvKVERfq5Xun4JlKk8FO7VwJquEjJKzPV1fMHIKXzRzSd3wumQebNqfsYIYQQJRVSabKB+47gqRAIZgikqKmKMwVxhppROHoIjIIbE2/SvwjmXnvttdrn+O2332ySHoRgBzeQh30Kukh4HX5HOYL018E9VAi4aAkiqUnnYY7A+0EcJnAl3ZmfSYMkpZnacLkgfRO3RjDo3X///e09ZwqmmwKdjAlSaTqSyRFCHUteFweSyA/nPK4u3CY0jqC7MA2XKkFApT4jji6EjS233LIgAZVjQMCM8IEDVQKqSJIjlTEgvdlUQ4jzWMi4jrjJ2IdgizMVFy77jRNXY2HlgzjPMR0/fryNjcyFEOuTJqByD2D8I4X/jDPOkIAaAaTklZlqOVGjiXeZZqqJqsZSQghRVgjEfLMpHCOFgLjCxBrnCoEVrg/qJ1J3kXRCakjh6MQtQmDWo0cPS7d7/vnnLbjB6Zm+wIl4g3BJ0wKacpxwwgl1nDTdunUzQYguxIhDpGBS/+3UU0+1dLNCILilFhv7TPDln+OBBx4wkYn3RB25ww47zF1wwQUW9BKwpruCghBoEnwQPHuoo0lX5IEDB9rrkeKJq4PyNTTxgIY2J8IJRHd0GpgQ9OOUYPMNv4DjQuATdNyKzN2FaRbFZ885ivOUrVJcS1wPL774orlJ6YJdSOMPzk+OwYYbbqgaqCKxNVIRIUkzZ0zzrs1CoTZn3MdCaqR6MRUOPvhgqwPJwkq7du1yPqfGwniOhyyeUfKFzwYXKguJfNaFCvKVBNcBdYqpB8x5rxqo0UBKXpmprgl6VBM1YrTI4USdO7tu3VQhhBAlB/GIoIqgD2G0EAjqCLb4vzj5cO7QoAKHCwX4cfP54PCaa66xgIZUR1KFEWvS68kRaNGAg8fRNbhPnz51Ugf5ftKkSRaU7bvvvm799de3gJT9JaWvUHDV4I456aSTrNkGDadw1XrYZ4JWggmCPr7iyqE+WHrtNmjZsqXbZ5996qVW9uzZ044LzRh4PYLQ3XbbzSbpuHqCjTQKAccQr9+1a1dLsfNbsNEH6de8H1EfPkfOb5qMUY+Pz43auIjkleA89QHxhx9+aO5a3Kecc4UIqNRHJHCmViFNb7Kl2QpRyXCtML4gUOJGI9OiIUIqdUTpXs59Os5jIcfBj+9+LERMxZ3I99kWFTUWxgfma4jZCKdvvfWWCaacj5yLLCQnDc5pXNQ0a7v88svdddddV6/OrgiPqlQuK4OoAwELFzSumIYMCEHueuERN+mNl12fg090rVdpVfR9TCKkeDz55JM2+DXapfB4b+dev925jue4Gf88rbYOn9XY++gh50b3dK71rs4ddr9LAkU5pqIOOqbRPKbFuK9HBYIVAgBqd1VSoX0+I4QmAhJS/QsRYAgySTXkK07OQl0lNIrYdNNN3Q033OCiBi4WuifTnR2nLgEbATXXAe+PenFcB/74IEIhyHHswmpENG7cOEs9Y18aI4Lx+fH5c21GtQxSQ687pt2//PKLdWhGFEHMYLGAEhZRfY+NhXMTdxdCB41r0huz5BIkcLSdddZZ5rop5JoXotLHQtx5uDqp40nzJ+75pbo24jAWcg9FXPMiKtkobOnjvcbCaF93zL8RTzm3EePJViATqaFu4EqC85lz5fbbb7dGavfee68J9CI6aFm3zMyrWT2UEzWqjaX+VyS9fjq/aqIKIUS5IWigUzCp/YgyTK7zBY4EGT61HwHHN5yKIwiluGXoxkoXYt98i0CMjeCKIJL3ijOV90lwTco0Nd8IahrqqikWOIhIc5SLcP7n+PXXX1vgz3mMq2uHHXaI/eJNrs+eOosE0+3bty+4limpuzSOQbyhiYwQYj4snnEvRXBiEQ2XJanhSVlkSB8LWVgFxjtcjIyDjPccI+43flFRY2H0YAykRAXjIZ8Zi4ik6yOKJ+V8zgbXNiUzcGU//vjjVn5j2223DXu3RBq6ksOqidosuasrsUvnrxVR4xmACyFE3MGdEBRSce7lc2MwESfAxM1AAIOYU0rnTqmgFiRpkbiC7rrrrnp/5zj49+bdqQQlvG/SHQnacDWE8b5Jk0wyiNq+Nh4d5nGPkaJK8F/JLhuEDuovIhTTRKVQ59SQIUPMrSXXjRCZ4R7CPR1XJQtopPkzPsZtXCvmWOhT/dnSFxW9mEoZnDCPUdLHQuCzoT4vjlM2XMHU/GVhPK6L3MWG+S210VlEZAzFda1GZNFEImqZUU3UiOIF0nmz7UZO9zuwm7pvNqXGUkKIhEE3Xjr1EpAghDDpZcLrU7Vwf5CSTJoZ4h33TNKTqcMWdFywqp4OKVsEhB6eB/EFMRCRND0djJ8RoBBSP/vsM2uwVIgQRRDFviOksr8EnNlEHZpYRA2afLDlgwAx6E5lMs775bMLBpn8PQkBdxggVpOa6IVTrgvOcdJvcUNVekdh3j9dvblGcXwRIBf6/y699FJ3/fXXWz1CajJmgpqL1G+kXh73Jlyre++9d+3fcahRd5CSF1z31NKjlhylBDzcW3A/BbnyyivdOeecU/vzbbfd5i677DL77GgUE/z/InlEaRwE3OvrrruuXWe8Ng5V7i3FTPOO61gYXFT07lRKs2kMDAfmIZShYDycPn26fT4sInKPr5S638WCElSIprimuecgplJjOBMaC8NHImqZSXknalU065kkFi+Qzp1jNxtuPvWdqBJRhRDJAkejD9AQOki/QiRhZRwBkwkyQYoPKPnepysjcgZhwhbsrBoUQAlyEJ/WXnttEztJeyZITIcACEcqIurUqVPtNQiW8kHQRD1GJqk+vb+S0+oIVDgubHxuBJN8Jrx/fvaBJF+jWl8tLnA8cQDTAIIgkeNMyQXOTb4WmsYedxCYCOhwfzUkQEZ0OvHEEy1lkQByww03zPpY7g2bbLKJde+meU063DPoII4wxX4gytJMh/sFzeY8l1xySZ0GL8Fardx7rr76agtAud/RxZzGWCK5RG0cBPbFLyoivHKv4TyuZId7QwiKpsExkPsCi4x+/NMYWHyYZ3CNIJxS/5tFBxYS//nPfypdPwscJxqd0YiMOcOLL75o5TqyobEwfCo3gogocqLGOJ2/RTICISGE8KQHcASAdNlmksxki3R5Aj4PASS1rag9lp5CTnCXLWWLAIe/8Xy+8U42eB466bLC/tFHH9nrF9IswtdJRbQhWI1ren9Tg0kEP+/QYXLtPxc2BeCFEXT6EsxwLDl2m222mQU+STuOOI1oIEVw1rZt24JTMwmyCQA5jq+//rrdO3Kx66672pYNuoYHoZsxjTlo0EEjGg/3LoL6TOAmRADGOcxjuEZEsoniOOhfByH1888/r204hUCr1OjcY6C/f2caA5knVPqcoNj4eQULaWyvvvqq3UM5Hym9UOkZGE2FBZfRo0ebYElDt2HDhtk9IBcaC8NHImqZmVc9z75WadUrsun8DK4E5rD++uu7Zr7ZlJyoQoiEw0QZcrk4eQxBSXog4pvqIFwitiA2+ceQnogQ884771gQk+7eSYfHkCrMRBNHELUXg6vr2eD1CDzZfwLgfOn9lUYw5Z/j4INJNp+qyt/4/PyW9IDSB92c116A9uc4QTfnD+dhpXUCLwSOCw5cRBzS90k9LPR8wbVK+iHNtUgZzBc0NhQEkqFDh5qohGMnyFVXXWXlA9hfgs3evXvX3tNwwhI08v9wBLFvQkRxHATuQX5RESGVezluvyQsEDYGjokf23KNgUr7zw3HjbHQO3z97zhm22+/fR1Ho8gMx+uDDz6wGuC4Ri+44AJ31llnFf2c01hYGiSilhk5USOKF0jnzU/18OlkuJUWmzu77mOEECKhYhKBGq7PbIIHk2nqM6ULmtSGI0AkQCFdkSCSINN3muf3uH34/wQ3hYqapFgSCCHicO9GTC1kAsokkffB/yFVEyEsie6d9LR/jj+fC5NuLxQEBdVKF1bTBVO/8Xv/3n2jEn+OEngnEa4dajxyzrRv396u70IhPfCYY45x/fr1c2eeeWZRz6exY8daQzUWSai9N378eGu+4zn11FPd5ptvbjXeqDl37rnn2j0Lp44Hxw6uIC+QCxHlcTC4qOiFVMTZpDScKmXpG/7u7/1+gTFpxzTTmMjvODZ+IZFjQ5aPF6BFbphjkX2BuPnYY49Z07Q99tijqK+hsbC0JMN6EcGaqM1VEzVaNKtZT6hxCteh2jtRteYghEguOGgQTqixlAkm1tRbQtRkwpYePBJ0MhHjb6QGUT8yncbUJyMoJWsAMdQ32igEXof9YX9Jyea9ETQ1hQEDBljxfhgxYoTr3Llzo56HNOdtttnG3BzBCW0pITBEIGSizOviPuCrdzT5Bh0E/xxrJuYETRxvf9z4jKnP11CohZnukCgGufbHpyD6lE7eG+lrvDfel68dSy2wXXbZxY4F5wvHIynO5Vwi0oQJE+z4NkRAJfA+//zz3fHHH+8eeOCBkrhuOnbs6KZMmWJBIZ/bgQceaO4+z+mnn24pkzhsTjjhBLtmb7rpJvvMgyBCKWgUcRkH/aIirlQ6oDOGcC/jmguDOI6FPu2fz4d7GhufI5+FL93C+Mc4wfcsoAXHvyBxGguDeGcu7433yHtlY7wn64D7K/dFf3z4nmOWNGG5KXBd0kAR5ynj1CuvvFJ0ARU0FpaW5M4CQ2LT1TdwrZZe2S2yYLJSviJPVU39suoMwXeNG8c108qaECK5gSPBA02dMjXKIXAkrZ5gg9pw6QEgE7ltt93WJt0Enw8//LCJV+kBHpM3CuWTWsRjaUTABNNDMOZdpH5j3xC2qA3H61KOxdduwulz2GGHWXDJ87H/dB6l0zLceeedbvfdd7cAjWCIyS1fCQhw9DQE9n3gwIHu5JNPdk0FdwJ199gfJrphpj1mE1YRwgiSg8IqAS81tDj+HA8+Y44nn3MugZr0P2oMNgW6NtNFNugo/f33380Nxr4QFBIIEhiyr5kEU2q3+ffoBdMNNtjAxI4xY8a4pMMxxD1DCiL1X9kKbdDGsd5nn31MPKVm3m677VaSfeQz5B7EvQMXDfvH12zQbZhz9MsvvyzJ/ojKoanjYPpYyFeuh0xCZ2PHQu5dLCpyrbIAxD2Q8zvfWJhN6EzqWMj75vPz4x/HN5uw2q1bN9e3b99aYRURkuPOuNHQhdlij4UexmlE/OD46F236YIp47cvR+EFU8ZF6pvyHAiASV5IbApck1zzZGBw/TKeMscoBRoLS4uugDLTbp3N3AbLruUWXUiKfqRolkNE9b/zjxFCiITAZJvAjECLNENEpcYEjocffrjr0qWLBRYPPfSQO++88yyoS38sEzgCJjqT8thevXq5Pffc0wIADyvn/Ow3gkxgwk8NOVKTEFJxTbRr1872mbRjggPcc4hjFNcPwv8lSCJg8q/V0OCHlKwtt9yy4K7kueCYN2Zi7YOjcgir/mtQWPWOFF8aIBicIT54Fw/H2Lt/Cbi94BrcfOMm8I2wgpv/f14c5fH8nP46vIYvU+D3n33NJJhmq4F3yCGHWLOHpLtPn3/+eTt+O+64Yz2XXS6o8bjFFlvUirCIPOWC6yHdWZMuanEfQlwSopTjYPpYOGTIEOuaPXXq1HqPa8pY6BcVuR9z3TIWIqRwv843FhaDSh0LMwmrvpEXY4cXVoOZDX48QgTmd4xV3Ae5J/kxLt8iY0Pfs0+/5zXYF16T12YfguOjH4PTBVM2xkfE4nRXdNLHwsbCMUYcHzx4sDvjjDPMGYoYzXy1XGgsLC4SUYXIl86f8k5UpfMLIZIFAQwdgnGPMsn2DRh8cOIDR36mJluwSYMPCggA6VKMCw3xa5VVVrHg0DtggjBxp04iwSCTOeo5EbBkCjKzBTl0RUZM7d+/v6UhEaj64BIXBc9PM5tM/5egwTdEIOjg/QedPgQZ7HsmmBDjIgnC8Tj22GMtKMHFwSQ1eGxxwbKPiEr8fyCtCocsxf55TQQojhXBC/WseG+8p6Dr5JRTTjFhi6B42rRp7r333rM0axqMIF4ROGfjkUcesdfnsaSU4ZQA3AgEhrfccovV7OMYjhw50v7G/t1zzz22jxwvHEd8Thw/zhf2g+e69tprbb/4zHEREbjttdde9jng3vGuHcQ5gn4m+DRZILBgf/jKhL579+72N4I3AmqOGe+L/8c5yL7g7qB2F5//2WefbcEtz8Frchw593B2sS+8XxwZXjDlGFIfjK61vJ+dd97ZUmI9HMvnnnuu4FIRleo+5RxGHMnkwssE94Cbb77Zbbfddu7II490Tz75pH0mjYVrkmvIX0fcV/ieawlBgMUZXK4s0NC4is+b8/mAAw6wx+Pku+GGGyyYpY4y5w2NNHDoNWW/RGVTrHHwp59+svvqvvvu637++WdzyZN+j8hZ7LHQLyrihuQ+zNjBuc/9L99YmAlSwTUWZh4LGbOuuOIK+zz79Olj75HnQLRkPOnatas18GE/GM/I4kDcZrxhjKPBHmnWiJtPPPGEnWeMW8OHD6893jwn/xcRnuflvopYz/O3adPG6l/y/zke1NdkfziePXv2tHGOx3H+cV4xjp144ol2/Mgm4L14wZR7psbC4sLn9eyzz9p5zOfGPAandqFZHJnQWBgBUqJg/vjjD0ZC+9pY/v7779To0aPtqygORTmm/3oolTp/iVRq2O6pP//80z5nNr5PPdBj/t9evCmVFHSeFh8d02ge02Lc16PCX3/9lfrwww/tK1RXV6dmz/m7SdvLr76Scfv+h+/t7z//+kvq9ddfT73xxhv1tlmzZtl+/P7776ljjz3Wttdeey01atSo1LLLLpv67rvv8r6nTz75JLXQQgvZc8Dw4cNTiy22WGqZZZZJrb/++qlbbrkl6//daqutUqecckrqvffeS82YMSPjY3i+Tp061fs958Snn36a+u2331IzZ860Yzlv3rxUly5dUmeddVbG59pyyy1TY8aMqfPczZs3Tw0ePNjO0RtvvDG15pprpubMmWPPtfHGG6cGDhxoP7/88supf/zjH6kff/zR/u+RRx6ZuvTSS2uf69BDD00dfPDB9j7effdde+zEiRNrH9uyZcvUm2++ac/1n//8J7XSSiulHnroodTcuXNTjz76aGrVVVetPS+CfPTRR6kll1wyNXnyZPu8evbsmerQoYP97YsvvrDjcNRRR9n/femll1JLLLFEaurUqRn30R+3b775xr7fYYcdUhtssEHq66+/Tv3www+p5Zdf3o7R+++/b/u44YYbpu644w577IQJE1KtWrWqt3/ff/99auWVV049/vjj9vMTTzxhz8f7Gjp0qD2nP8/y7U++Y8hz8Xve64477pjq169fnefiOH388cd5r7tKgXOeY8cxD17PhcK1s++++9rnN2nSpKLsE+eJn58FNz4/jv8+++xj5/6CCy6YWnHFFVNdu3a1+5PnrbfeSm299dappZZaKrXwwgvbPeSKK65o8HsT0SZ4TUZpHPzggw9S3bt3t7FwypQpqaeeesruO9znSjkWct898cQT7Zj88ssvGedMucZCfw/1aCws/lg4bNgw2+fx48fbWMhxYps9e7ZtX331ld1LeQ/8/Nhjj6WmTZtm+8Nnz3P6uYrGwujA5zZkyBD7/JmT8pkVA42F4SNrnRD5aqIqnV8IEUPmzJvrBo4bUZLnfvHf79V+f9quR7kFW2SvGY0jEPfEEUcc4e644w77HS5AX58rG6SZsSpOx1CeA3DNvP/+++YEeeONN8zdivtjv/32q/f/cU/g0MDpgdMHFxyOHBwU1IKjqD+88MILGdMOvSuVVDicBNQYw3GEwyMTOI1wjARZddVVzfEBOGRwSuLqw1nE+8PxAZQd4L2NGzfO3DRBeM0HH3zQHEi4a2gCQGdz3C/eRcT7x2UDOFl43/6Y4HJh33ElkP4ZhOfl7zgFgfeGC4EOrZ4LL7zQjgXNPXDU+HIMhdCjRw87BsC+4uJh34CamLlqv/E5HXTQQXbu4FLy/8eDqwknFc3ENtxww5z7UcgxxKHB7/3xfOaZZ+o8B+cCTp8kwPmOgws3lK+D1xBee+01c87xWeOOCXYEbgqcv7nSXnGS5YJOxFwHIjlEaRxkw1WfPhbmK43R1LEQ9yb3SJysONUef/xxa9JU6FiYDs3hNBYWdyzkfosz0bsTgx3u+Zz4/BkLeV2OGV89OHYvvvhic95qLIwGfGaUyrjvvvvcrbfeavOVK6+8suAsjnxoLAwfiahC1Ennn2sDF+kYtYOYr6mjdH4hhGgwiJmIYASNBHqkBVMPaqONNrKJXCZIg2QiT7oaQplnzTXXrFMEn8CLyWKmwBHxlM7HviMy9eRIAyR4C6aiETiQahXEp3n7Wqn333+/bQSZ2SC4DdarA5866Z+TnwnKCGRIvwoGrOyTD/6CkPbJ8fAlCYCUUQLoTK9DkJweDPP/M3Xm5XfB5+W9kgLI7/kKPvDz3weDynwEa2uR/pn+Mymy2SC1jGNKB3fP6NGj3SWXXGLpZ17sy/UcDTmGBLUegsv0z5LX8gJGpcI5SFoywTjHZ6uttqoTzOeDlF3EGcQGUhep46gGJEKEPxaSyk2aOPdCUtUR5BAUKXNSyFjooSkkwhDCLeNjJjQW1kdjYXJAYKaWMaUVXnrpJROoueZEZSFVSIigyzQ1z1aJrrnmmgxOVF0uQoj4sEDzFuaOKcfr5AJBhjpc+++/v/2MwwEnB8FNpsARIYYAj0CLemOZGv14EGiyrcZ37NjROqoj6FBPjFqaBGu4chpSzP/DDz+0ABUnK4EPAQSNO3CkBPeNQBhXZJD0rsb8jOuIfab2WiFNPXDxIWQREPrAme+D7sDgflATlMYluI3ywXN89tlntT9TS4tAjN/7BgTUbvO17/jeN/nI9bk0FT73p59+2hyN/nXYH0RwhALqtBHA+2OZb38KOYa5+PHHHy2wp4ZcJcIxRBDADUXQTN27hgbJ1FvD0YTrm6Y1bdu2Ldn+ChG3cTAqYyFuVfYB8c033uPeWkhjI0Rf3KTULM3lLtdYWDw0FsYHrlcWIXFR+/q5ZNsEhX1ROWh5WIh8jaW8iOpT/oUQIgYwkSa9sNRbvgCCbsakxNOxl0k+ouTkyZMt0MoETRcQdEg5Sy+8T/CGowbefvttd+ONN9ZJa0t3byDsHHfccRbwEDggphIE4Ajid/m69+IowDFEGQAa6iAw4VAhiEBMxdHhwVGE+yAIrzF06FB7HA0FeD+ISziHeG0m2r7bPMeEYCYdAiSCblIuOY44RkgBJV06EzgeaMCBU8V3Cua4ZUq/43l53Msvv2z7wGsQ1AfTS3EU0lyI1C+CUe90QlCm4Uax4XMlG+TRRx+tI+QROLKP3sFDYwZ/LuTbn4Yew3QmTZpkzUqa0ggiqnAe02SCYA8xg3TWhgioXNMjRoyw1FSCRs49CagiKkRlHIzSWMg4xkIiv6NkBxkb+YTU4FiYzTXr0VhYHDQWxgfOKVzcuLspd0HJDhYTJaBWLhJRhQg6Uavn2mDO4MNmAXaqRlhVTVQhhGgwTP7pnO4dobvuuqt1au/cuXNt7TF+B3QSpXMptdJwTPjOtARVMH78eBNrcNIw6acLe7bJP12JEYdw29CBltfGkUPNtb59+9rvSdUjnTAbBGA4ak466aTafdlkk03sK25UghCeh+eg6zz7HQzQcPSR9kjASgBJDTVf94x6bThMcMvgArn88suzirqDBg2yIJAUQgLliy66yN5LtuPNc990000WTOGc4bUzgWjG8aZOHwIYddJ812EfcCEek/pHSinPud5669nf6PaKO4ZUSY5PsSA4xS1McM1nRhCC+4nvyRLBWcRni0uIFFdPvv1pyDFMh27H1DSrJAjCcZZNnDjRzmeuRz7nhriqEGEok0FdQM4bxNRCaioKkUSiNBbSfX3bbbe1mqjUMGVhEYEzm5iaaSz0NT3T0VhYHDQWRh/OU86V4cOHu549e9rCCCI7IrWE5sqmiu5SYe9EXGC1jhsygwI3sMbAAEVKIEWkG1JnSpT4mH4+ybk79nBuudZuRo8JtQXRmXAs9sChzk2b4Nz+tzm36UEuCeg8LT46ptE8psW4r0cFHBKkq5OiRaq5yA3THxw4CKmkOBK8ZavxlmsCzXFHkOIcxGFDcFJos4kow0IigVmwfmy54fhyjXJthlVbE+GAlFpEiEwCY9yuOz5PUnl5XzROQQhpaOo+185dd91lNU8RUXFC8VxCRIG4XZNhwyIg6fWIcQi2CJ24VZtyz8WxyriosbA4aCyMHsQNLBbcfffdtijAggTN3xTjJQNJ5ELkTeeXE1UIISoNggBcHLg1mPjjIGDyn95VOBcEMwSbuFIJIEiX5HsCHjXUqQzWWWediuhiyzmJuw3XDI1MSKVl8aChsOjAef7WW2+ZkIqIKoSILywe0lyIhRAEQ+qBIqYi2NEnojE1P32DXlE5VMpYWIyxFEGZ2qe33nqrjacIy2QpieQgEVWItHT+etSm8+tyEUKISgPHROvWrc2VSlMAgkdcqQ1JxSIIJa0SpwpiKo4RnhdBtZRNJ4QoxDWK8PnRRx/VNrOhzl9Dz0sCR7qKn3nmmVZrkFIADWnQJoSINoimONNxpVLDlK70CKssFCo1WQjn/v3vf1uphPvuu89q1VJGA7e13KfJQ3dEIeqIqDkaS0lEFUKIinalktZMQwsEIuqPIRI1RGwi0MTJSqkJxFTqyyGmNtbNEybUjwszfVEUp1wFzlPORer3Uc+vMQ7pN99805188skWQMp9KkQyXKmMhTSeQ0xlbGQsS2KGhcZCQf379957z+rUUvubsZQmZJtuumnYuyZCQqqQEHXS+efmEFGVzi+EEJUMaVl0UKaZA04cOt4yWcaJ0xBwJSCo+kYdiFi4UhFTkxiEivKBYxTnKemGnHutWrWyMhWNcZJRI5FOwwinOFCp+cY1IoSofFfqBhtsYAsxP/zwg/WIYFGRRcI4LgoK0dh6wdOmTXMTJkywcZBxtX///u7II4/UXC7hSEQVAlQTVQghRI0rlWAR5w3BI2nQvvFUQ4QonodgE0HVp/l7MZVNE3BR7GAP4Z8gD2iEwgJAQ5uleSH29ttvN9H0n//8pzlwEGOFEMmBMYrSHzhRubdQU1kp/iJpqfv333+/e+SRR9zRRx/txo4dqyaKwtDdT4i8TlTVRBVCiKSB+ERKP0FjU1L8eSxCalBMpWYqAitiamNELiE8uJ1pBoNbhnOK+r4rr7xyo0X6N954w1L3cWEPHz7cUvflOhMiuXBfYRGFcUsp/qLS4fym0ehjjz3m7rzzTitv8dJLL7nNNtss7F0TEUKqkBBQ9b+aqKysnnTSSfajrbJ6YdU/RgghRGJT/HEnIKYuscQSDX4uXzMV1yBiKpN1xFUvpkqsEoVCB23EU9xhnFN0Bqaub2PPIZ6rX79+7qGHHlLqvhAib4o/oiquPMZCZVeIuPPXX39ZDfFnn33WPfjgg+6LL75wV199tTviiCN0bot6SEQVok5jqbk2Ebj55pv/9zc1lhJCiEQTTPEngCRlGuEKMbWh9VIBwXSxxRYzMfXvv/82QYxJOo4f1ZsTuZpF4RAluEPMRzRt27atucIae87wfJdddpkbOnSoO/DAA82BQyMVIYTIleKPkMrCIuPi0ksvbWMiMZTGLxEnmIMxp5s0aZItIr766quuV69etpjIeS1EJiSrCxEUSFMZaqL63zWXiCqEEEkG8ZPaqBtttJG59KiX+vnnn1sDHxgwYIC7/PLLC3ouJuvUrKTeKq5UxFOeB3cPnWARWKNCmzZt3CuvvNLg/0fqZymCkMbuTxCcxbiqOPZRh/Pis88+c88995x76623zBHWuXNnt9VWW7l//OMfjRItcEFffPHFbq211rJz+PXXX7fURQmoQoh8MF6R5sy9mPsP93oa2nFf5X517bXXNmgspAQJIiyLQ1FGY2HlwBwL8fS+++5z5557rjv99NPdeuutZ2Mt564EVJELiahCBAXS6rm1Tg82vnc+kK3S5SKEEI1hypQpbttttzXxB9Fm2LBhGR9H8EXxfsRFHktTm2CAMGLEiNqUeL8RnGSDVOfDDjvMLbfccvZ8TJBJUyZo8M+HGJUOQeG3336b9XlJwV911VXdhhtuaI99//33bTI+cOBAqydZCGeddZbVnKTrMWIswRBpkThUGXsQudhwSdhYVCYuuugid8wxx9T5HfVg27Vr1+Dn4nP8/fffm7Q/V111lTv22GOLsj9BSEPdeeed3W233eaiiJ+LIJo+88wz7scff7R6p+zz+uuv3+hUe86nm266yWoc8rzjxo1zY8aMsYUBIURpqbSxkJqo3Et4Puoz8zqUBmEs5L5dyNgVHAtxwtMULwpoLKxMaJzIOfroo49aCZsTTjjBMopooDh48GBzWguRD6lCQtSpiTrXHEBMMtj4Xun8QgjRNA4//HDXpUsXCyJwnfTu3duEw3RovIQT7sUXX7THklJFYxuCK0+HDh3sZ78RnGQCRwvBBemFb775pjk8J0yYYJPlf/3rX0V5Xzz3mmuuaS4OxCiCP1LzCSbzQcDL/0sPWAmMEVIJdBFrcYf88ccftc+bHpTyM0E/tdi4AAAzQUlEQVSBaDiHHHJIVhEjDPgs+awR5RE4EVA5xzjnt9tuOysf0dhGZIint99+uwmxQ4YMse+5znheIUR5qNSxkDELIRVB9YknnrA64tSY5LUQhHOJqZnGwsagsbByxsJSwDVFA8ZHHnnEsjAQyH/99Vc3efJkc6NGRbwX8UAiqhB10vlTLFFlTueXiCqEiBEEFDNm/1XyrRCnCav+TNKpp7b55pubk+7jjz/OGIjhDCAY5LEHH3ywpQ1S7L+hXHfddeYoIDDwwSWp+Dz/DjvsUNBzkJ4YdPrg/suU7szvcRjh5kDsxNHAxs+kW5Oyf9xxx9Wm/fvmUgSdpGTvuuuullLtXwd4bJ8+fUz0wvHK+2Fhj6AURxENEHfccUcLhAkM0iEwoJssKWm832CgjliLG5HjQl3Na665xn4/ceJEd8UVV1haN/vBfoEP5uGoo45yp556quvYsaM9hsAex+T+++9vwi+//+WXX2o/d2vQ6Jy5qILH0ouDMHbsWHNC4sRdZ511rKmD3x/e91133ZV1fxCZcf/yPng/l1xySW0gjZOoW7du7oADDrDn3nrrra2eqGfLLbe01D1q+4UJn+snn3xiwgafG589nx3nD599Y5qYeRBXrr/+enO9kWLLMXn33Xftc1PtQlHpRGkcTMJYyBjA2MfYxL2H+y3vD5drY8dCxNhTTjnF9pmFJByZHsYj/qaxsDLGwlLAAiLXzf333+8uuOAC1717d/s8EFOffvppt8UWW4S9iyKGVIQqxIVw6aWXuueff97SnbjJEmCcf/75NuB4WG3j5vLGG2/YTbxnz56WQiBEbWOpTHVRa52ojXN/CCFEGMz8e5ZrdVrHkr/OtIET3GIL5U4tZrwdOXKk69u3r3v77bfNeUJ6Yj5IkccpEHQIUPSfphbLL7+8BTCkYmUCQapr165NEoqYT3jnD8HIbrvtZl3QM0HguO+++5oDB1GMtEQCnRtvvNHmIgRWt9xyizmKeE72i4k9QSEBEq4IghgPAiqplohrCKc77bST23TTTd0uu+xifycgIAggECc4I4j375XAjfeO25DA7oYbbrCfCR59IEewhuOR4Jhgj+fp1KmTO++88yx9M5crhcCODrYEattss425GXn8vffe6/bYYw97zzg9guCE8seS48PPBx10kP1MUIcri6DxqaeesgZH22+/vQWW1CkjMOW9ZIL5HymNvDfKHxCss18EuEDKHs6oUaNGWXoswSSBMeDq5NxifljuFD6OAXNWjj/nONkvnDsEwP4zago8J+IAnwUCKl/33ntvdRkWiSJK42BSxkLGlf3228/cpYxdjIWMQ4MGDbL/S4xO2jQu3MaOhSwuMdYALkLEMPYnXczWWBj9sbBUIL4jqiNaP/nkk3Y8WZgcP358QdecELmoiJkUK1zclElP4ubBivutt95qNz8PN10uHIpgkx7FShM3D7qRClHHZepF0/Sf5UQVQohGgZiIg4L6aQQa/fv3zztRZwJMsEXBf7r/Ai4Sgh0CCWqo4bR4+OGHM/5/gicEKQ/Bk+8gTDdyzwsvvGC/D26ZYGEWxwzulEyQcumdMzhicHaceOKJ9p4JAPfZZx8LEAuBQJD3h3OQ5ySA5bl4r6T4E/wRpBJ8IYoFG1KR8k+gtPHGG5uoy+PPOOMM+xuLyB6OK24ZnK49evQwUbZQcLP4Gq4E07iICPQQi3mfOB1zQZBMoMp78p8rz8F74flw4pB2WggE0BdeeKHVdSNg5L0SJHoIhgmMOWa4udL3jfdACn2p4TPlPCDARdQg8Mb1w2dLei9BHSJCUwXU7777zo4Bx4Juw3yuNI3iXJCAKkS4JGksRBxlfxmnGGO4tzFWcS/C+MT7ypd+n20sRGj0MBbiJuT5Ge+CIJ5pLIzWWFhqmAuRGUSNVwR4Fi44d/jMH3vsMQmooihUhCqEK8M7M4AVd1a0cHxw04V77rnH7Nx33HGH3di44XGBYY0nrUAknKDLtJ6IWjPAy4kqhIgRiy64sLljyvE6ucA9s/vuu9v4S1DBYidjNsEBwUMmEAIJTnBGkHLoof6oh3Q03De4MQmi0llmmWXM6efBAcqGW4faWB6CFgStIOmOHYJTAhQm4dlqUhIsBuvV4QQh+4VgkUk9r4kzh/kJzqFcEBgTYAbrxBFs0pDEQ2Mr5jNsBJo8P8eNAJF0SIJNAlYCRwIyHo/TJvj/g9/nC/aC4Jr0kNaZ/nPwOKQzYMAAcxT5FETg+7PPPtsERt4nJRF8GmQ+eE/BWoAslgffZ/BYI26n7xufkxcmig1CA58l5yEbP7M/uIw4ZsFsqabCnBbnKfNdhJrnnnvOrhEhkkxUxkHQWFh3LPzmm29MvPTvM1NJhELGQhafCh0fNBaGMxaWGo7V9OnTzcHMecb4xzmK4xY9KHi9CFEMKkJEzQQrKQwaHqzc7du3rzNhZeWfFUCcAazapEPw4Wu2ADd+f6MvpGlEJvz/a+z/FyU6pvNSzq9dzpk9q85zp6rnOqYQc+al+IVLAjpPi4+OaTSPaSV/HgQ/haQXlhrSqajvRjo74ArBgYPrJVPgyGSY5hvsP6lmuVIQCYiy1aLDcUHXcZwZTYFAF5cIqWDUdMsGgTAplx4WaQkAEbf4f2TLkOJH0EgHY9/wA4dQ+nvk8dRJQwwNzmWCBP8P3yOWsnE8CBgIIlg8JgDlOJE2Sikj7/whgKUJiP/eu6FKWSeT4IbF7ddee82cWB4+b9xApB0yT8O55D/XfPuDWMx78++F7/ldISBqcn4WqzM9z4cL6+eff7YN0YT3yWeMU4rU22K6Qbl/IZwgnr7zzjvmViPbCqOAECI64yBoLPzfWMhiD/dGL/Lxd8a69DlZQ8fCdBgLcKN6OEaMd8ExQmNh8cfCckEdWN4n5yZp+pR1QBzGIPfAAw/UcWALUUwqUkRlFYIJpXehAitw6asQfkWGv2USUa+88sp6dUyAjqms4DQFLnRRXJp0TFPVbq+abyc8979VWG7G+8/927HW+vzESW7WQi1dktB5Wnx0TKN1THHtidLia4SSRuVrkdHoIVv9tuOPP97SnLn/pqc2E7whRiEGUk+OemPBsT4I9dZIm2QyTf05HCbeqVDoxJoFWRxDvEY2p5AHRxGTdl7XuzqYK+DsQDSlBhxzDQI0P/9gcZYaZIidBJFM/kk7IyA+8sgjLR2PEkUIrzhYec62bdvm3A8CLdxOp512mgVquBJJ38QVg7jmF4RJxaSuHK+LM4pjBThpcMMEa6wWAwIdGlsQPKd3keZ9ITAiAuN0QggMBtE4SrLtD7XkqAVHvViOHwE7Tp5C4HWYGxYaaKYTdABzPuIY4j2wzzwnIolPay0mHEvq7rHxueLyQiTJNJcVQkQDjYV1x0LGgZVXXtkew7hEoyPuqSwuMi7xGN53Y8dCYPwjnZtjzrjIceKeSbkdD4Yq3hPHWmNh48bCcsL7Z5GSnjgvvfSSla0hDmA+Q1kLFikQ3oVIrIh6zjnn2I0tFwxA1DAJ1oLi5k3qw7HHHtuk12cliCLOHm7wDDzUVvXpBw2FiTYXOkWx0+u2CBfqMU291cxVpardTp072kogMOA2e3/+CuCOnXdybolkrGjpPC0+OqbRPKZeUBKlg8CJgIrJPE453CSMrTQ98GIegeS4ceMswEIYwpkRdLrwN+qM8XkfccQRluJG8MVzUtsrEwSHZKFQH53OvAiV/B+CV7r5FgLuPhw1J510km0+RQ7XQzp77bWX1d8i2OQ9I2IS1BAIMk8J1kT1bkRSNDkeBAS8Px9QIsYRMLLvOEMIrEgBD9avywXHbvTo0ZayyfFCzCOIJDjzTlSycTguZNzw3nC88D3Nhwgi2W+aZNB0oxgg6BIcc/w9vGc+Wxa+SUelHh2NNIIdozmu1L/Ltj+IApxPHGPuA9SYI+guBOrFFTpXJHDj2CGa4trxG/chfk/AzWdVCtEUeF2EE1xciCrUy6PBCJ+jap0KEX00FtYfC31JAOqA8ljqcvL+GO+45yI4elNTscZCfg7OGbmXIsAx/iH8+s8DMU5jYXTgs6fRF+chdcXZ+P7QQw+174PCuBClpiqVzfsfAViFylcHhPqnPkWflAC611EweMSIEXUmldw4CZa5cXq44HbccUdLtypk9Z7/zw2eQaEpIippBdywJaQUh6Id0wtbOjdvjnNnfuTcUvMDWcfl0bemPsw505xbfFmXBHSeFh8d02ge02Lc16OU1oSTAzdBMD1MlA9cOgSowcaWhYIgx3zE14CjqQeiJ+dlsUUyRD7SFqkll0kYZGrIaxLgsuEG4udyi3XsG9doKY4BaffU1cOBk3698P6Dx8Nv4I+JPy583jhiSnHdsR84j+jmTbMTHxiz5aoDKESS0VgY77GQuR0Li4yF3HcRVimDwAIVMb+v813ssTDKhDUWhn3d8ZwY5BhjWWCg/AHOUxagcWrj6I1rHVcRbyLtRCVFga0QuMCo+UJqA1380m8wOCzoJsiN2QfbrOKx8qX0J2E0azFfRA02lqqeF/i7GksJIYTIDu6bxoIo5+c9iKgIqrhwCCJxLLGVwuXIfClYLx7hzqep89p8xaHjUwi9mMr+Br+Wsn5cKSDwopQCwSmBGl/ZvIgMXiwlNTDb+yzF+ybNllRPNtJucUThFMKVlK2ZixBCVMJYSJxO2RsctKSlMxZSeo97H2MgG6KqrwMet7EnarBgm8lRHBbMOSitgLhNuv7rr79uzmXGYVynZCnjKBYiTCItohYKAioOVNIKWPli5crja71w0ZEKgD2elIf333/fDRw40NLlhKgVUQkg5811M2fMsO8XXbC5NZUK/l0IIYQoJdRsI92S+mS+Oy9NHxDxcKciqPKYUkBAypbeOd6LjF5o9Kns3qHpBdag0Jr+O//cpcSLwD79ns1/n/4VgqIwAbkXTMuxr0FI7yTVF9cpqbPU8iO9l7JCpfqshRAiqnD/xYXKRjk9nJiMhYhrOB29oMr33Lt9xoSIHyzUIpSzaEgDMspPIJwioFOikbGRBuFaRBRRoSJUIRylrNqzpdvxvZsAxwENoSi+j1uVGin9+vWzIttCGFXzb8wzaeyx7OL2/Z+/TneL+b9LRBVCCFHmINIHisEg8sMPPzSREwcJW0Mdqo2p5JQtnT9dsPQipXd0+p+DrxkUKP33wZ/TwSma6TX9c6b/HNznoKjL5p1LQaE3DNjXjz/+2D3++OPWFOrVV1+1Tt3du3e3MiXZOlELIUTS4F7txzuciqSgMxZinGKRCWeq/+oF1UIEtwhXNaxoOO7UOEU4xQxH2RoyQ3CdkrrP4iHGOL6qJIeIIhWhCh111FG25QPrN/U0hMiIT9evk84f+F7p/EIIISIQRCJQIqhSyxeHKlArjb+xaFxOt4YXQPM5gIJCZybxM/i74P/xrxEk3dUaFGLTRdkoQfBPt2cvnNIkgyYmNP948MEHLYVVCCFEdhBIMUOxkQ3BOIioihjH34KCqq+h6rMLRHj4uu8Ip9ROpb7pe++9Z65TFlsRTC+//HJrlhj3HgWi8qkIEVWIouCdpqlsNVF1uQghoo+cFZUPASH13Nn4vEn5J4ikjhjBCemPvtMxwWQUgsfGCJsEVjQnIcU+qmma+a43hFLSEp966ilzmBLQ77nnnm7AgAEmoC666KJl21chkoTGwsqH+6kXVBkvcDcyFuJQRawjS4MxkA1HIyKrd6lGYVysJHyJnKBo+ttvv9U2CUMwJYvGO05XW20117VrV6ufSxYGn4sQcUFnqxD1RNTqzCJqVTQDOCGEAJ+mzGSV5kQKEJLpzEF0xKWK4wMBD/ERoQ5XDhuBZFzODS+iks4fRREVkYbrjePpm5bihkI09dvnn39uZaR22mknN27cOLfVVltF8r0IUSloLEwuLLgtv/zybrnllrMGjYiqjIfUnGac5O9sjIO4VL2gGnVRNcpjIeMg+8YxRjhlIRfh1Iumn376qXv77betSRhiKYuIt912mzX3FiKuSEQVImc6/7z//S3Cg6sQQhAEUBcc4YyaUkLgviG4wQ2CS5XmDQSKBJBsBJNR7m5McEYgHBU3bSZIJyVIxFkaFE1peEoD0+22206piUKUEY2FIgiiI+Md4x+Li3xl4zzxQirjIFuwfnaUysJEbSxMr4VOqRpEVMbAd99910RTBGxEU8bCCy64wLVt29bmHEJUAhJRhagnos7LIKLqUhFCRB9S19ZZZx0TdoRIh/Pi/ffft1Q6GjnQBZ7f4Qhp06ZN7bb22mtbcBk27NukSZOsK693eoYFASNdoT/44IPajWP51Vdf2fEjULzhhhtMNKWUghAiPDQWilxQAofx76WXXrLxEMckYwxjHwI8blbSzddaay1bBKM0ji+PE8ZYFOZYyELszJkzzUnqa7HTzJtFChZnGRcRTvkbQmnHjh3d+eefL9FUVDRShoTweKF0XobGUhJRhRAxwaemCZEObpx27drZBjhIcFG+9dZbtt1+++3mIMGlQzNOHJWbbLKJiYTrrruuW2mllcqaSsh5jMOF/S5n4Ihb6ZNPPrENoZRjw3Eh8N5oo43c5ptv7nbYYQd3+umn28/qHixE9NBYKLLBPZua1GxeKAze68eOHWu1Oxl31l9/fRNTafy3wgoruDXWWMPGQkRVSuQg2LNRNqdU51upx0Kem/GNDbGUDScpAilublymlKoh0+Ljjz+2/dlss81sjnDooYdaJgbzBF1vIilIGRLCUyOUNm+Wcvvvv//876tqitJXaVAQQghRWSCIEviwEQh5YXXatGm1wuro0aNNaCWQwoWDuwtBNbi1atXKtWzZMnK12nK5SgkQcZF6sZRt6tSp9vWXX34xJxLvdYMNNnAHHXSQu/rqq92GG24oZ40QQlQYZF6wOMYWdH+SceDHQpyrjA+4L5deemkTU1deeWWrv0rtXS+wLrPMMrUlc4Kbr8XK13Kl5DOesyhKLVW29O9xmFK/lLGQRlzUEZ4+fXptKQz+jiOXsZDxb5999jHhlHFfgqlIMhJRhUhL5194gebuwQcfnP+7nz6p8zchhBCikkEIJWBiO/jgg2t/T9CFCyUoOk6ePNm+EnzhjiGIxK3DhlPHf8+GKOnTInHt4OApluiKKMr+IYx6Bw3BIMGu377//vs63xMcsi9BMZjmT3zlvSslXwghkgtj2qabbmpbjx49an/P+MLCYnAsnDBhgn0l1Z3FRoRVGj2yuMhYwsZ4w1fGQe9e9W5W6rIGN9/oym+IofDRRx/ZuOlrktLICRep3xB+/RjIV5ylv//+e22DLb5nH8m2wF3KOIkLFxHYj4OUpgkukPJ+hBB1kYgqhMen7NdpLKV0fiGEEAIHDa5MtnQQJIOCpRcqqZuG0MrPuFsI5BA7PQSPXlT1X30Krm/sQVOsQYMG1TaxIGj09dl8oMjG74EAlOcigA2KuFtuuWWdnxF5CWij0KRDCCFEPGB8SXetAmMUQmW2xTvGQ37G+cmYhXgJjHWMhcENt6oXUv1YSGMpfh8UUPkdQqkfE/nK34DHsq8Iun7co+Zr+jjIV15TCFE4UoaEyNlYyouocqIKIYQQmaAWHI4VtnzglgnWXAu6R70Y6jv++i0orLLxekHh1Tf94Hul2wshhCg3CJ3eddq6deu8j0dETR///JiIGBocAxkXvaDqN8bE9IVI/z1b2M0YhahkJKIK4alxm874c4ZbvMaZ8ucnLzlbm5MTVQghhGgyOEWpJ8cmhBBCJLUOK+n+bEKIeBGPDgBClAPfPErp/EIIIYQQQgghhBAigERUIXLWRK1J7Y9Jx2EhhBBCCCGEEEIIUXykDAnh8XVPU5lEVDlRhRBCCCGEEEIIIZKKRFQhPM1b5GgsJRFVCCGEEEIIIYQQIqlIRBWiXk3U6voiqv+bEEIIIYQQQgghhEgcElGFyFUTNVUjqMqJKoQQQgghhBBCCJFYpAwJ4akRSpu7arfbbrvN/74qVfM3OVGFEEIIIYQQQgghkopEVCE8NULpwgs2c0888cT83304ps7fhBBCCCGEEEIIIUTyUDq/EB4vlNZpLFXzvdL5hRBCCCGEEEIIIRKLRFQhctVE9d9LRBVCCCGEEEIIIYRILBJRhfDUCKUz/pzpFltsMdtmzPhz/t+qdKkIIYQQQgghhBBCJBXZ64TweLdpap6bOXNm3XT+5rpUhBBCCCGEEEIIIZKK7HVCeJo1y5DOX13zN4moQgghRGOYNGmS23PPPd1KK63kqqqq3OjRo+v8/c8//3SnnHKKW2WVVdwiiyziNthgA3frrbfWecysWbPcySef7Fq2bOkWX3xxt99++7np06fXeczjjz/u1l13Xbfeeuu5sWPHluW9CSGEEIWgsVCIykAiqhD1aqIGG0vVCKpVNU2nhBBCCNEgZsyY4TbZZBN38803Z/z76aef7p566ik3cuRI99FHH7levXpZIEkg6Ondu7cbM2aMe/DBB90LL7zgvv/+e7fvvvvW/n327NkWWA4ePNgNGjTInXjiie7vv/8uy/sTQggh8qGxUIjKQPY6Ieql86uxlBBCCFEsdt11V9uy8fLLL7sjjzzSdejQwX4+7rjj3JAhQ9zrr7/uunbt6v744w93++23u3vvvdftuOOO9pjhw4e79ddf37366qvun//8pwWOzZs3d5tuuqn9vUWLFva7BRdcsEzvUgghhMiOxkIhKgM5UYXweLdp0Imaqvm+mZyoQgghRCnYZpttzGnz3XffuVQq5SZMmOA++eQTt/POO9vf33rrLTdnzhzXuXPn2v/TunVrt9pqq7lXXnnFfl5yySVd9+7d3YorrmipkrhvllhiidDekxBCCNEQNBYKEQ9krxOiXjp/0IkqEVUIIYQoJTfddJM5bqgDh2umWbNm7rbbbnPt27e3v//444/moll66aXr/L/ll1/e/ua58MILLf2R/6+gUQghRJzQWChEPJCIKoSnRihtlprndthhh/nfOy+i6lIRQgghShU4koqIA2f11Ve35hvUdMNFE3TcFMJSSy1Vsv0UQgghSoXGQiHigZQhITw1QukiCzRzEydOnP+7FwbU+ZsQQgghisdff/3lzjvvPPfoo4+63Xff3X638cYbuylTprhrr73WAscVVljBGmP8/vvvdRw4dCTmb0IIIUSc0VgoRHxQTVQhPM0y1ET1qf2+XqoQQgghigb13dhIOwxCY4zq6mr7fosttnALLLCAe+6552r/PnXqVPf111+7du3alX2fhRBCiGKisVCI+CB7nRA5a6LWfN9cIqoQQgjRGP7880/32Wef1f78xRdfmLtmmWWWsYYYlNA588wz3SKLLGIpjC+88IK766673HXXXVebltijRw93+umn2/+hcUbPnj0taKQbsRBCCBF1NBYKURlIRBUiTUSdMfMvt8ayy9r3X95+vFss8DchhBBCNIw333zTdezYsfZnAkA48sgj3YgRI9x9993nzj33XNetWzf366+/WvB4+eWXuxNOOKH2/1x//fXm0Nlvv/3c7NmzXZcuXdzgwYNDeT9CCCFEQ9FYKERlIGVIiHrp/HPdzz//PP/7VE1qv9L5hRBCiEbRoUMHl0qlsv6dWm7Dhw/P+RwLL7ywu/nmm20TQggh4obGQiEqA9VEFSJdRE3NrztTJ51fTlQhhBBCCCGEEEKIxCIRVYh6NVEDjaW8E1UiqhBCCCGEEEIIIURikYgqRM7GUl5EVTq/EEIIIYQQQgghRFKRiCpEuoiakogqhBBCCCGEEEIIIf6HRFQhPFXN6qfz14qoSucXQgghhBBCCCGESCpShoTw1AilzVLVbsstt6z5XiKqEEIIIYQQQgghRNKRE1UIT/P5QukiLVLujTfesG2RBWr+pnR+IYQQQgghhBBCiMQiEVUIjxpLCSGEEEIIIYQQQogMSEQVwlNVI5SqJqoQQgghhBBCCCGECCARVQhPjdt05qy/3RprrGHbzL9m1RVYhRBCCCGEEEIIIUTikL1OCE+N2zQ1b6776quv5n9fvVWdvwkhhBBCCCGEEEKI5CEnqhC5aqKmar6XiCqEEEIIIYQQQgiRWCSiCuHxzaNSwZqoXkTVpSKEEEIIIYQQQgiRVKQMCZHLiVpdXfdvQgghhBBCCCGEECJxSEQVIt2J6oVT+17p/EIIIYQQQgghhBBJRyKqEDmdqHPrCqxCCCGEEEIIIYQQInHIXieEp0YorUrNcxtssEHN90rnF0IIIYQQQgghhEg6cqIK4akRShdtUe0++OAD2xZtkar5m5yoQgghhBBCCCGEEElFIqoQOdP5583/WiURVQghhBBCCCGEECKpSEQVol5jqRrhFFI13yudXwghhBBCCCGEECKxSEQVwlPjNp05a65r06aNbTNnzZ7/N4moQgghhBBCCCGEEIlFypAQnhqhNFU913344Yfzv5+3cc3flM4vhBBCCCGEEEIIkVTkRBXC0zxTTdTq+V8logohhBBCCCGEEEIkFomoQnh886hUjXBq36smqhBCCCGEEEIIIUTSkYgqhCeT29S7UuVEFUIIIYQQQgghhEgsElGF8GRym1bLiSqEEEIIIYQQQgiRdCSiCpFTRPVOVImoQgghhBBCCCGEEElFypAQnpqU/aoq51ZfbVXnqpq5Ki+i+nqpQgghhBBCCCGEECJxyIkqhKfGbbroAlXuy4/ecV9++aVbdIFUzd8kogohhBBCCCGEEEIkFYmoQniqmtWvhap0fiGEEEIIIYQQQojEIxFVCA95/F4s9eJprYgqJ6oQQgghhBBCCCFEUpG9ToggzZq7v2bPce077Opc8wXdpE5z3CJcJXKiCiGEEEIIIYQQQiQWKUNCBGnWwlWnnHvznX/Zj9UdF8eiKhFVCCGEEEIIIYQQIsEonV+IINnE0ma6VIQQQgghhBBCCCGSipQhIYJkq30qJ6oQQgghhBBCCCFEYpGIKkSQKomoQgghhBBCCCGEEKIuElGFKEQszSauCiGEEEIIIYQQQoiKRyKqEAXVRJUTVQghhBBCCCGEECKpSBkSIkNN1H8ss3SN+3S2c1VVaiwlhBBCCCGEEEIIkWCkDAkRpFlzt9iCVe6nt55wP33+L/teLlQhhBBCCCGEEEKIZCMRVYggXjCtnufcvLnzv1c9VCGEEEIIIYQQQohEIxFViIwi6lznUvPq/k4IIYQQQgghhBBCJBKpQ0IEadbC/TUn5Xbt1su5Fgu7cdul3CIL6zIRQgghhBBCCCGESDJSh4QI0qyZq04598Lr/7Ifq7ddXE2lhBBCCCGEEEIIIRKO1CEhgmRK3Vc6vxBCCCGEEEIIIUSikYgqRBCJqEIIIYQQQgghhBAiDYmoQuQTTKuah7EnQgghhBBCCCGEECIiSEQVIp9g2kwiqhBCCCGEEEIIIUSSkYgqRJDmGQTT5krnF0IIIYQQQgghhEgyUoeEyOBEXXThBZ2rqlljUDq/EEIIIYQQQgghRKKRE1WIIFVVbrEFq9yMybe5Ge+Ns+/VWEoIIYQQQgghhBAi2UhEFSKId5+mqp2rnjv/e4moQgghhBBCCCGEEIlGIqoQmURUl/qfiFr7OyGEEEIIIYQQQgiRRGSxE6IOVW7W3JTbr9f1zrVY2D3cLuUWbiYRVQghhBBCCCGEECLJSEQVIkhVMzev2rknX37Pfpy39eImrAohhBBCCCGEEEKI5CKLnRBBqjIIpkrnF0IIIYQQQgghhEg0UoeEyCeYZhJWhRBCCCGEEEIIIURiqAgR9csvv3Q9evRwa665pltkkUVcq1at3IUXXuj+/vvvOo+pqqqqt7366quh7ruIGHKiCiGEEEIIIYQQQohKrIn68ccfu+rqajdkyBC39tpru/fff98de+yxbsaMGe7aa6+t89hnn33WtWnTpvbnli1bhrDHIrpkcp3KiSqEEEIIIYQQQgiRZCpCRN1ll11s86y11lpu6tSp7pZbbqknoiKarrDCCiHspYhvOr+cqEIIIYQQQgghhBBJpiJE1Ez88ccfbplllqn3+65du7pZs2a5dddd15111ln2czZmz55tW/A54ddff3Vz5sxp1H7x/2bOnOl++eUXt8ACCzTqOUTpjmnzmX+7v2anan/+z+yUm/PXHDfvl19cktB5Wnx0TKN5TP/73//a11Tqf9e9EEIIIYQQQgiRTlWqAiPHzz77zG2xxRbmQiWtH37++Wd31113uW233dY1a9bMPfzww+7qq692o0ePziqkXnTRRe7iiy8u894LIYQoN998841bZZVVwt4NIYQQQgghhBARJdIi6jnnnOP69++f8zEfffSRa926de3P3333ndthhx1chw4d3LBhw3L+3yOOOMJ98cUXbvLkyQU5Uam7iguVkgA0pWoM//nPf9yqq65qAfuSSy7ZqOcQddExLT46psVHxzSax5QhEDfqSiutZAtsQgghhBBCCCFE7NL5zzjjDHfUUUflfAz1Tz3ff/+969ixo9tmm23c0KFD8z7/1ltv7caPH5/17wsttJBtQZZeemlXDAj4JaQUFx3T4qNjWnx0TKN3TJdaaqmi7o8QQgghhBBCiMoj0iLqsssua1sh4EBFQCWNf/jw4QU5iqZMmeJWXHHFIuypEEIIIYQQQgghhBCiUom0iFooCKik76+++upWB/Wnn36q/dsKK6xgX++880634IILus0228x+fuSRR9wdd9yRN+VfCCGEEEIIIYQQQgiRbCpCRCUln2ZSbOmNQYIlXy+99FL31VdfuRYtWlgd1fvvv9/tv//+Zd1XygNceOGF9coEiMajY1p8dEyLj45p8dExFUIIIYQQQghRLiLdWEoIIYQQQgghhBBCCCHCRq2IhRBCCCGEEEIIIYQQIgcSUYUQQgghhBBCCCGEECIHElGFEEIIIYQQQgghhBAiBxJRhRBCCCGEEEIIIYQQIgcSUcvEGmus4aqqquptJ598cti7FlvmzZvn+vbt69Zcc023yCKLuFatWrlLL73UqVda0/jvf//revXq5VZffXU7rttss4174403wt6t2DBp0iS35557upVWWsmu8dGjR9f5O+dnv3793IorrmjHt3Pnzu7TTz8NbX8r4Zg+8sgjbuedd3YtW7a0v0+ZMiW0fRVCCCGEEEIIUZlIRC0TiFA//PBD7TZ+/Hj7/QEHHBD2rsWW/v37u1tuucUNGjTIffTRR/bz1Vdf7W666aawdy3WHHPMMXZ+3n333e69994zcQqh77vvvgt712LBjBkz3CabbOJuvvnmjH/nHL3xxhvdrbfe6l577TW32GKLuS5durhZs2aVfV8r5Zjy9+22287uAUIIIYQQQgghRCmoSsm2Fwo4/caOHWsONJxTouHssccebvnll3e333577e/2228/c/eNHDky1H2LK3/99ZdbYokl3GOPPeZ233332t9vscUWbtddd3WXXXZZqPsXN7i2H330Ubf33nvbz9xucVOeccYZrk+fPva7P/74w87jESNGuIMPPjjkPY7fMQ3y5ZdfmjP9nXfecZtuumko+yeEEEIIIYQQojKREzUE/v77bxP5jj76aAmoTYA08+eee8598skn9vO7777rXnzxRRP7ROOYO3eulUlYeOGF6/weYZpjK5rGF1984X788Udz9nqWWmopt/XWW7tXXnkl1H0TQgghhBBCCCFEdlrk+JsoEdTz+/33391RRx0V9q7EmnPOOcf95z//ca1bt3bNmzc38e/yyy933bp1C3vXYgsu1Hbt2llt2fXXX98ckqNGjTKBb+211w5792IPAipwXIPws/+bEEIIIYQQQgghooecqCFA+jluSdJ6ReN54IEH3D333OPuvfde9/bbb7s777zTXXvttfZVNB5qoZJ2vvLKK7uFFlrI6ncecsghrlkz3S6EEEIIIYQQQgiRTORELTNfffWVe/bZZ62btGgaZ555prlRfR3JjTbayI7vlVde6Y488siwdy+2tGrVyr3wwgvWrAenL13kDzroILfWWmuFvWuxZ4UVVrCv06dPt+Pq4WfV8BRCCCGEEEIIIaKLrGVlZvjw4W655Zar07RHNI6ZM2fWc0eS1l9dXR3aPlUSdI1H6Pvtt9/c008/7fbaa6+wdyn20PQIIZVavh6E6tdee83KKAghhBBCCCGEECKayIlaRhD3EFFxSbZooUPfVPbcc0+rgbraaqu5Nm3aWEfu6667zhp2icaDYEo6/3rrrec+++wzc/xSd7Z79+5h71os+PPPP+24BZtJTZkyxS2zzDJ2rvbq1ctddtllbp111jFRtW/fvlbaI1O3eVHYMf3111/d119/7b7//nv7+9SpU+0rgrV3/wohhBBCCCGEEE2hKoVaIsrCM88847p06WIB/rrrrhv27sSe//73vyZAPfroo+7f//63CVHU7uzXr59bcMEFw969WNeaPffcc923335rItV+++1nYjVd5EV+Jk6c6Dp27Fjv9yyejBgxwgTqCy+80A0dOtQazG233XZu8ODBuic04ZiyZRL5Oc4XXXRRmfZSCCGEEEIIIUQlIxFVCCGEEEIIIYQQQgghcqCaqEIIIYQQQgghhBBCCJEDiahCCCGEEEIIIYQQQgiRA4moQgghhBBCCCGEEEIIkQOJqEIIIYQQQgghhBBCCJEDiahCCCGEEEIIIYQQQgiRA4moQgghhBBCCCGEEEIIkQOJqEIIIYQQQgghhBBCCJEDiahCCCGEEEIIIYQQQgiRA4moQoiy8Pfff7u1117bvfzyy6HtwznnnON69uwZ2usLIYQQQgghhBAinkhEFaIRHHXUUa6qqqre9tlnn4W9a5Hl1ltvdWuuuabbZptt6vx+woQJbo899nDLLrusW3jhhV2rVq3cQQcd5CZNmlT7mIkTJ9rx/f333+s97xprrOFuuOGGgvahT58+7s4773Sff/55Ed6REEIIIYQQQgghkoJEVCEayS677OJ++OGHOhsiYSYHZtJJpVJu0KBBrkePHnV+P3jwYNepUyfXsmVLd//997upU6e6Rx991ITW3r17F30//vGPf7guXbq4W265pejPLYQQQgghhBBCiMpFIqoQjWShhRZyK6ywQp2tefPmrkOHDu6UU05xvXr1qhXt4P3333e77rqrW3zxxd3yyy/vDj/8cPfzzz/XPt+MGTPcEUccYX9fccUV3YABA+y5eB4PbszRo0fX2Y+ll17ajRgxovbnb775xh144IH2+2WWWcbttdde7ssvv6zjot17773dtddea6+DgHnyySe7OXPm1D5m9uzZ7uyzz3arrrqqvU/S8G+//XYTQ/me/xtkypQpOZ24b731lps2bZrbfffda3/39ddf23tjwx264447utVXX91tvPHG7rTTTnNvvvlmgz8TjkMmh/BFF11U+5g999zT3XfffQ1+biGEEEIIIYQQQiQXiahClABEwQUXXNC99NJLlsZOGjoi4WabbWbi4FNPPeWmT59uYqfnzDPPdC+88IJ77LHH3DPPPGMp7G+//XaDXhchFNF2iSWWcJMnT7bXR5TFNRt0xJJCj6jJV/YV8TEoxCLmjho1yt14443uo48+ckOGDLHnQZA8+uij3fDhw+u8Lj+3b9/eBNZMsC/rrruu7Zfn4Ycftv0966yzMv4fXquhUAYg6AzmPbRo0cJtu+22tY9p27at+/bbb+sIy0IIIYQQQgghhBC5aJHzr0KIrIwdO9aERQ8u0wcffNC+X2edddzVV19d+7fLLrvMBNQrrrii9nd33HGHOT0/+eQTt9JKK5nTc+TIkZbeDoibq6yySoP2iZT46upqN2zYsFoREoETVyqi7M4772y/+7//+z9Lr8c527p1a3OIPvfcc+7YY4+1/XnggQfc+PHjXefOne3xa621Vh0na79+/dzrr79ugiRC6L333lvPnRrkq6++svcYhNdZcsklzcEbFFaPPPLI2p9feeUVt9FGG9X+nOl4zJw5s/b7RRZZxDZAJMZhyzHfaaedah/j94N9op6qEEIIIYQQQgghRD4kogrRSDp27FintuZiiy1W+/0WW2xR57HvvvuuuT6DoqsHse+vv/4yp+jWW29d+3tS8ddbb70G7ROvQ0p90PEJs2bNstfxtGnTxgRUD2n97733Xm1qPn/bYYcdMr4GIiSiKyIwIuqYMWMs/f+AAw7Iul+8P5pG5XOb4qLl9b/77jsrZTBv3rx6jtb098bj0vnjjz+sWRX7icM3iBdZg+KrEEIIIYQQQgghRC4kogrRSBBNs6WvBwVV+PPPP60WZ//+/es9FgEzWy3RTKIjdUmDBGuZ8joIuPfcc0+9/7vsssvWfr/AAgvUe14crEGRMRfHHHOM1XS9/vrrzelKGv2iiy6a9fHUhvUirQe3LmLnjz/+WOtGRWTmmJKCnwkad+GqDZL+WIRX9geX69ChQ+s9x6+//lrveAghhBBCCCGEEELkQjVRhSgDm2++ufvggw8sfRyRMLghuLZq1cqEzddee632//z222+W8h4E4Y9an55PP/20jqOS1+F3yy23XL3XWWqppQraV9LnEVSpz5qN3XbbzfYbJy71XamTmgtKGXz88cd1BOD999/f3nMmYbkp9O7d2wRbGnBlcr/S4IvXxY0rhBBCCCGEEEIIUQgSUYUoA9TmxAF5yCGHuDfeeMNS659++mnXvXt3c07iwOzRo4elnj///PMm9FF7tFmzupcozamoZfrOO+9Yg6oTTjihjqu0W7du5vrca6+9LPX9iy++sFqop556qjVTKgSEXuqSIowiRPrnoE6qh3R/9u/cc881R2m7du3ylj7AJYuQ7FlttdXcgAED3MCBA+31KHdAsyeaadHQyr9OQ8AVO3jwYGvmhbsWlysbr+3huGy//fYFOW6FEEIIIYQQQgghQCKqEGWAOqIvvfSSCaY0d8Lt2atXL0tN90LpNddcY+Ieaf80dNpuu+3q1VZFdKQZFY879NBDXZ8+feqk0fP9pEmTTKDcd9993frrr2/iLDVRSW8vFBymOEVPOukkazxFw6kZM2bUeQzPSx1XhOB8tGzZ0u2zzz71ygz07NnTPfPMM+6nn36y10OQxeWKcIvDNdhUqhBwz3KMu3btamUS/BZsenXffffZ+xFCCCGEEEIIIYQolKpUeoFFIURkoGnSpptu6m644QYXNXB0durUyX3zzTdu+eWXz/v4f/3rX26nnXYyF26mBlvlYNy4ce6MM86wfclWd1UIIYQQQgghhBAiHTlRhRANYvbs2VYa4KKLLnIHHHBAQQIqbLzxxlb/FJdpWOCmJeVfAqoQQgghhBBCCCEagpQEIUSDGDVqlKXy45C96667GvR/qaMaJpQMEEIIIYQQQgghhGgoSucXQgghhBBCCCGEEEKIHCidXwghhBBCCCGEEEIIIXIgEVUIIYQQQgghhBBCCCFyIBFVCCGEEEIIIYQQQgghciARVQghhBBCCCGEEEIIIXIgEVUIIYQQQgghhBBCCCFyIBFVCCGEEEIIIYQQQgghciARVQghhBBCCCGEEEIIIXIgEVUIIYQQQgghhBBCCCFcdv4fU3tqtocL9SUAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Compute S11 and realized gain for the inital patch geometry\n", - "s_matrix_init, sim_data_init, theta, realized_gain_init = evaluate_single_antenna(\n", - " patch_init_wh, freqs_s_params, opt_freqs_single_patch\n", - ")\n", - "# Compute S11 and realized gain for the optimized patch geometry\n", - "s_matrix_final, sim_data_final, theta, realized_gain_final = evaluate_single_antenna(\n", - " patch_wh, freqs_s_params, opt_freqs_single_patch\n", - ")\n", - "\n", - "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=0\n", - "plot_phi = 0.0\n", - "plot_antenna_comparison(\n", - " [s_matrix_init, s_matrix_final],\n", - " [sim_data_init, sim_data_final],\n", - " [realized_gain_init, realized_gain_final],\n", - " opt_freqs_single_patch,\n", - " theta,\n", - " plot_phi,\n", - " sim_names=[\"before optimization\", \"after optimization\"],\n", - " plot_title=f\"Antenna Comparison (phi=0)\",\n", - ")\n", - "\n", - "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=pi / 2\n", - "plot_phi = np.pi / 2.0\n", - "plot_antenna_comparison(\n", - " [s_matrix_init, s_matrix_final],\n", - " [realized_gain_init, sim_data_final],\n", - " [realized_gain_init, realized_gain_final],\n", - " opt_freqs_single_patch,\n", - " theta,\n", - " plot_phi,\n", - " sim_names=[\"before optimization\", \"after optimization\"],\n", - " plot_title=f\"Antenna Comparison (phi=\\u03a0 / 2)\",\n", - ")\n", - "# Save results of optimization\n", - "np.save(\"misc/single_patch_box_antenna_optimization.npy\", patch_wh)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Expanding the Design Space: Optimizing a Patch Antenna with Coupled Passive Radiators\n", - "\n", - "In the next optimization, we optimize a patch antenna for dual-band operation. The appropriate choice of patch width and height for a single radiator doesn't typically require an advanced optimization technique. Based on the patch antenna operating principle, initial values for these parameters can be found and small tweaks or even parameter sweeps can identify geometries with the desired resonant behavior. By optimizing via the adjoint method in the single patch example, we validated we could also optimize the geometry via gradients. However, in cases where there are not intuitive solutions or we would like to take advantage of a larger number of degrees of freedom, the adjoint method becomes increasingly useful. Below, we allow the patch to have a more interesting shape by creating an optimizable inset at the feed connection as well as fin structures on the top antenna edge. Additionally, we add passive radiating structures that couple to the central patch and optimize both their size and relative position to the central patch. The degrees of freedom are indicated in the diagram below, but in summary we move the 2-dimensional patch antenna optimization to one with 18 dimensions. Here, we utilize gradients computed via the adjoint method to optimize a figure of merit for broader band radiation.\n", - "\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "num_passive_radiators = 2\n", - "\n", - "# set min/max patch dimensions for the central and all surrounding patches\n", - "min_patch_dimensions_mm = sum(\n", - " [[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], []\n", - ")\n", - "max_patch_dimensions_mm = sum(\n", - " [[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], []\n", - ")\n", - "\n", - "# set min/max gap between central patch and each surrounding patch\n", - "min_gap_mm = [0.5 * mm for idx in range(0, num_passive_radiators)]\n", - "max_gap_mm = [5 * mm for idx in range(0, num_passive_radiators)]\n", - "\n", - "# set min/max offset of each surrounding patch center relative to the central patch center\n", - "min_offset_mm = [-10 * mm for idx in range(0, num_passive_radiators)]\n", - "max_offset_mm = [10 * mm for idx in range(0, num_passive_radiators)]\n", - "\n", - "# set the min/max of the patch inset (i.e. - how much the central patch surrounds the feed line)\n", - "max_patch_inset = 6 * mm\n", - "min_patch_inset = 1 * mm\n", - "init_patch_inset = 0.5 * (min_patch_inset + max_patch_inset)\n", - "\n", - "# set the min/max of the inset height and the gap between the feed line and the inset\n", - "min_inset_height = 1 * mm\n", - "max_inset_height = 6 * mm\n", - "min_inset_gap = 0.5 * mm\n", - "max_inset_gap = 2.0 * mm\n", - "\n", - "min_inset = [min_inset_height, min_inset_height, min_inset_gap, min_inset_gap]\n", - "max_inset = [max_inset_height, max_inset_height, max_inset_gap, max_inset_gap]\n", - "\n", - "# set the min/max of the fin widths and heights at the top of the central patch\n", - "min_fin_width = 1 * mm\n", - "max_fin_width = 6*mm#10 * mm\n", - "min_fin_height = 1 * mm\n", - "max_fin_height = 6*mm#10 * mm\n", - "\n", - "min_fin = [min_fin_width, min_fin_height, min_fin_width, min_fin_height]\n", - "max_fin = [max_fin_width, max_fin_height, max_fin_width, max_fin_height]\n", - "\n", - "# combine all the min/max values into clipping arrays to use in the optimization\n", - "clip_min_values = min_patch_dimensions_mm + min_gap_mm + min_offset_mm + min_inset + min_fin\n", - "clip_max_values = max_patch_dimensions_mm + max_gap_mm + max_offset_mm + max_inset + max_fin\n", - "\n", - "# set initial passive patch sizes\n", - "min_dim_avg = 0.5 * (patch_min_width + patch_min_height)\n", - "init_passive_wh = [\n", - " min_dim_avg,\n", - " 0.5 * (patch_min_height + patch_max_height),\n", - " min_dim_avg,\n", - " 0.5 * (patch_min_height + patch_max_height),\n", - "]\n", - "\n", - "# set the initial passive patch gaps to the central patch\n", - "init_gap_sizes = [2 * mm for idx in range(0, num_passive_radiators)]\n", - "\n", - "# set the initial passive patch offsets to the fixed central patch center\n", - "init_offset_coord_locations = [0.5 * patch_init_wh[1], 0.5 * patch_init_wh[1]]\n", - "\n", - "# start the central patch at the same initial width/height as in the single patch case\n", - "init_central = list(patch_init_wh.copy())\n", - "\n", - "# collect all the passive parameters\n", - "init_passive = init_passive_wh + init_gap_sizes + init_offset_coord_locations\n", - "\n", - "# initialize inset heights and gaps\n", - "init_inset_height = 3 * mm\n", - "init_inset_gap = 0.75 * mm\n", - "init_inset = [init_inset_height, init_inset_height, init_inset_gap, init_inset_gap]\n", - "\n", - "# initialize fin widths and heights\n", - "init_fin_width = 2.5 * mm\n", - "init_fin_height = 4 * mm\n", - "init_fin = [init_fin_width, init_fin_height, init_fin_width, init_fin_height]\n", - "\n", - "# combine the initial parameters together\n", - "init_params = init_central + init_passive + init_inset + init_fin\n", - "\n", - "assert (\n", - " num_passive_radiators == 2\n", - "), \"The multi patch optimization is set up specifically for 2 passive radiators.\"\n", - "\n", - "\n", - "def params_to_boxes_multi_patch(params):\n", - " \"\"\"\n", - " Unpack the multi-patch optimization parameters into patch geometries for the central\n", - " patch and the surrounding passive radiating patches.\n", - " \"\"\" \n", - " inset_height_left = params[-8]\n", - " inset_height_right = params[-7]\n", - " inset_gap_left = params[-6]\n", - " inset_gap_right = params[-5]\n", - "\n", - " fin_left_width = params[-4]\n", - " fin_left_height = params[-3]\n", - " fin_right_width = params[-2]\n", - " fin_right_height = params[-1]\n", - "\n", - " num_params_wh_central = 2\n", - " wh_central = params[0:num_params_wh_central]\n", - "\n", - " wh_passive_params = params[num_params_wh_central:]\n", - " num_params_wh_passive = 2\n", - "\n", - " wh_passive = []\n", - " for idx in range(0, num_passive_radiators):\n", - " wh_passive.append(\n", - " wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)]\n", - " )\n", - "\n", - " gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators :]\n", - " gaps = gap_params[0:num_passive_radiators]\n", - "\n", - " offset_params = gap_params[num_passive_radiators:]\n", - " offset_coords = offset_params[0:num_passive_radiators]\n", - "\n", - " left_central = -0.5 * wh_central[0]\n", - " right_central = 0.5 * wh_central[0]\n", - "\n", - " left_passive_patch_idx = 0\n", - " right_passive_patch_idx = 1\n", - "\n", - " left_passive_right = left_central - gaps[left_passive_patch_idx]\n", - " left_passive_left = left_passive_right - wh_passive[left_passive_patch_idx][0]\n", - " left_passive_bottom = (\n", - " offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n", - " )\n", - " left_passive_top = (\n", - " offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n", - " )\n", - "\n", - " right_passive_left = right_central + gaps[right_passive_patch_idx]\n", - " right_passive_right = right_passive_left + wh_passive[right_passive_patch_idx][0]\n", - " right_passive_bottom = (\n", - " offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n", - " )\n", - " right_passive_top = (\n", - " offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n", - " )\n", - "\n", - " inset_left = td.Box.from_bounds(\n", - " [-0.5 * wh_central[0], -inset_height_left, sub_z / 2.0],\n", - " [feed_offset - 0.5 * feed_x - inset_gap_left, 0.0, sub_z / 2.0],\n", - " )\n", - "\n", - " inset_right = td.Box.from_bounds(\n", - " [feed_offset + 0.5 * feed_x + inset_gap_right, -inset_height_right, sub_z / 2.0],\n", - " [0.5 * wh_central[0], 0, sub_z / 2.0],\n", - " )\n", - "\n", - " fin_left = td.Box.from_bounds(\n", - " [-0.5 * wh_central[0], wh_central[1], sub_z / 2.0],\n", - " [-0.5 * wh_central[0] + fin_left_width, wh_central[1] + fin_left_height, sub_z / 2.0],\n", - " )\n", - "\n", - " fin_right = td.Box.from_bounds(\n", - " [0.5 * wh_central[0] - fin_right_width, wh_central[1], sub_z / 2.0],\n", - " [0.5 * wh_central[0], wh_central[1] + fin_right_height, sub_z / 2.0],\n", - " )\n", - "\n", - " boxes = [\n", - " # central patch\n", - " td.Box.from_bounds(\n", - " [-0.5 * wh_central[0], 0, sub_z / 2], [0.5 * wh_central[0], wh_central[1], sub_z / 2]\n", - " ),\n", - " # inset patches\n", - " inset_left,\n", - " inset_right,\n", - " # fin patches\n", - " fin_left,\n", - " fin_right,\n", - " # passive patches\n", - " td.Box.from_bounds(\n", - " [left_passive_left, left_passive_bottom, sub_z / 2],\n", - " [left_passive_right, left_passive_top, sub_z / 2],\n", - " ),\n", - " td.Box.from_bounds(\n", - " [right_passive_left, right_passive_bottom, sub_z / 2],\n", - " [right_passive_right, right_passive_top, sub_z / 2],\n", - " ),\n", - " ]\n", - "\n", - " return boxes\n", - "\n", - "\n", - "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", - "plot_structures_and_mesh(\n", - " params_to_boxes_multi_patch(init_params), sub_x_multi_patch, sub_y_multi_patch\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Similar to the single patch case, we set up a function to evaluate the performance of the antenna during and after the optimization." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "# Helper function for evaluating antenna performance for the multi patch geometry\n", - "evaluate_multi_antenna = lambda patch_params, eval_s_params_freqs, opt_freqs: (\n", - " evaluate_antenna(\n", - " params_to_boxes_multi_patch(patch_params),\n", - " eval_s_params_freqs,\n", - " opt_freqs,\n", - " sub_x_multi_patch,\n", - " sub_y_multi_patch,\n", - " )\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we set up monitors for computing the figures of merit and then run the antenna optimization." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
Iteration 1\n",
-       "        Figure of merit: 0.19\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 1\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.19\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 2\n",
-       "        Figure of merit: 0.22\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 2\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.22\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 3\n",
-       "        Figure of merit: 0.23\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 3\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.23\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 4\n",
-       "        Figure of merit: 0.24\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 4\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.24\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 5\n",
-       "        Figure of merit: 0.25\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 5\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.25\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 6\n",
-       "        Figure of merit: 0.26\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 6\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.26\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 7\n",
-       "        Figure of merit: 0.27\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 7\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.27\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 8\n",
-       "        Figure of merit: 0.28\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 8\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.28\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 9\n",
-       "        Figure of merit: 0.29\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 9\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.29\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 10\n",
-       "        Figure of merit: 0.30\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 10\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.30\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 11\n",
-       "        Figure of merit: 0.30\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 11\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.30\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 12\n",
-       "        Figure of merit: 0.31\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 12\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.31\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 13\n",
-       "        Figure of merit: 0.34\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 13\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.34\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 14\n",
-       "        Figure of merit: 0.35\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 14\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.35\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 15\n",
-       "        Figure of merit: 0.36\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 15\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.36\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 16\n",
-       "        Figure of merit: 0.37\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 16\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.37\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 17\n",
-       "        Figure of merit: 0.38\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 17\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.38\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 18\n",
-       "        Figure of merit: 0.38\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 18\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.38\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 19\n",
-       "        Figure of merit: 0.41\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 19\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.41\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 20\n",
-       "        Figure of merit: 0.43\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 20\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.43\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 21\n",
-       "        Figure of merit: 0.45\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 21\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.45\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 22\n",
-       "        Figure of merit: 0.47\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 22\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.47\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 23\n",
-       "        Figure of merit: 0.51\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 23\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.51\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 24\n",
-       "        Figure of merit: 0.63\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 24\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.63\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 25\n",
-       "        Figure of merit: 0.73\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 25\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.73\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 26\n",
-       "        Figure of merit: 0.84\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 26\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.84\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 27\n",
-       "        Figure of merit: 0.95\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 27\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.95\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 28\n",
-       "        Figure of merit: 1.10\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 28\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.10\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 29\n",
-       "        Figure of merit: 1.37\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 29\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.37\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 30\n",
-       "        Figure of merit: 1.69\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 30\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.69\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 31\n",
-       "        Figure of merit: 2.12\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 31\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.12\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 32\n",
-       "        Figure of merit: 2.40\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 32\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.40\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 33\n",
-       "        Figure of merit: 2.94\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 33\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.94\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 34\n",
-       "        Figure of merit: 3.45\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 34\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.45\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 35\n",
-       "        Figure of merit: 3.58\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 35\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.58\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 36\n",
-       "        Figure of merit: 4.03\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 36\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4.03\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 37\n",
-       "        Figure of merit: 4.53\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 37\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4.53\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 38\n",
-       "        Figure of merit: 5.49\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 38\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m5.49\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 39\n",
-       "        Figure of merit: 6.33\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 39\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m6.33\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 40\n",
-       "        Figure of merit: 7.63\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 40\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.63\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 41\n",
-       "        Figure of merit: 8.97\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 41\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.97\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 42\n",
-       "        Figure of merit: 10.76\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 42\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m10.76\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 43\n",
-       "        Figure of merit: 11.38\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 43\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m11.38\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 44\n",
-       "        Figure of merit: 12.26\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 44\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m12.26\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 45\n",
-       "        Figure of merit: 15.23\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 45\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m15.23\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 46\n",
-       "        Figure of merit: 16.74\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 46\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m16.74\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 47\n",
-       "        Figure of merit: 18.56\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 47\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m18.56\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 48\n",
-       "        Figure of merit: 22.44\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 48\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.44\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 49\n",
-       "        Figure of merit: 23.17\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 49\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.17\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 50\n",
-       "        Figure of merit: 24.39\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 50\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m24.39\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 51\n",
-       "        Figure of merit: 26.52\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 51\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m26.52\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 52\n",
-       "        Figure of merit: 29.27\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 52\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m29.27\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 53\n",
-       "        Figure of merit: 31.01\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 53\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m31.01\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 54\n",
-       "        Figure of merit: 32.10\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 54\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m32.10\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 55\n",
-       "        Figure of merit: 33.37\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 55\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m33.37\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 56\n",
-       "        Figure of merit: 36.22\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 56\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m36.22\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 57\n",
-       "        Figure of merit: 37.42\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 57\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m37.42\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 58\n",
-       "        Figure of merit: 37.81\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 58\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m37.81\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 59\n",
-       "        Figure of merit: 37.39\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 59\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m37.39\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 60\n",
-       "        Figure of merit: 36.46\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 60\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m36.46\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 61\n",
-       "        Figure of merit: 38.40\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 61\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m38.40\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 62\n",
-       "        Figure of merit: 39.87\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 62\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m39.87\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 63\n",
-       "        Figure of merit: 39.92\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 63\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m39.92\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 64\n",
-       "        Figure of merit: 41.47\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 64\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m41.47\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 65\n",
-       "        Figure of merit: 41.75\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 65\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m41.75\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Set up the multi patch radiation monitor sizes\n", - "obj_fn_monitor_dim_multi_patch = 2.0 * np.mean(patch_init_wh)\n", - "obj_fn_monitor_center_y_multi_patch = 0.5 * patch_init_wh[1]\n", - "\n", - "directivity_center_x = np.mean(sub_x_multi_patch)\n", - "directivity_center_y = np.mean(sub_y_multi_patch)\n", - "directivity_size_x = 5 * mm + sub_x_multi_patch[1] - sub_x_multi_patch[0] # Ensure mm is defined\n", - "directivity_size_y = 5 * mm + sub_y_multi_patch[1] - sub_y_multi_patch[0] # Ensure mm is defined\n", - "\n", - "monitor_directivity = td.DirectivityMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0],\n", - " size=(\n", - " directivity_size_x,\n", - " directivity_size_y,\n", - " 4 * mm, # Ensure mm is defined\n", - " ),\n", - " freqs=opt_freqs_multi_patch,\n", - " name=\"directivity\",\n", - " phi=list(phi),\n", - " theta=list(theta),\n", - " far_field_approx=True,\n", - ")\n", - "\n", - "monitor_radiation = td.FieldMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", - " size=(directivity_size_x, directivity_size_y, 0.0),\n", - " freqs=opt_freqs_multi_patch,\n", - " name=\"radiation\",\n", - ")\n", - "\n", - "monitor_far_field = td.FieldProjectionAngleMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", - " size=(directivity_size_x, directivity_size_y, 0.0),\n", - " freqs=opt_freqs_multi_patch,\n", - " name=\"far_field\",\n", - " phi=phi_opt,\n", - " theta=theta_opt,\n", - " far_field_approx=True,\n", - " proj_distance=50 * wavelength0,\n", - ")\n", - "\n", - "multi_patch_optimization_monitors = [monitor_directivity, monitor_radiation, monitor_far_field]\n", - "\n", - "initial_poynting_flux = compute_poynting(\n", - " init_params,\n", - " params_to_boxes_multi_patch,\n", - " sub_x_multi_patch,\n", - " sub_y_multi_patch,\n", - " multi_patch_optimization_monitors,\n", - " opt_freqs_multi_patch,\n", - ")\n", - "\n", - "# set up the objective function for the multi patch optimization that is a function\n", - "# of all of the above width/height, gap, and offset parameters\n", - "obj_fn = lambda patch_params: objective_fn(\n", - " patch_params,\n", - " params_to_boxes_multi_patch,\n", - " sub_x_multi_patch,\n", - " sub_y_multi_patch,\n", - " multi_patch_optimization_monitors,\n", - " opt_freqs_multi_patch,\n", - " initial_poynting_flux,\n", - ")\n", - "\n", - "obj_val_and_grad = value_and_grad(obj_fn)\n", - "\n", - "# initialize patch parameters\n", - "patch_params = anp.array(init_params.copy())\n", - "\n", - "# set up optimization parameters and optimizer\n", - "learning_rate = 30\n", - "optimizer = optax.adam(learning_rate=learning_rate)\n", - "opt_state = optimizer.init(patch_params)\n", - "\n", - "num_steps = 65\n", - "print_iteration_frequency = 1\n", - "\n", - "full_eval_frequency = 10\n", - "s11_sq_dB_evolution_multi = []\n", - "s11_f_ghz_multi = None\n", - "realized_gain_evolution_multi = []\n", - "theta_eval_evolution_multi = None\n", - "\n", - "figure_of_merit_multi_patch = np.zeros(num_steps + 1)\n", - "\n", - "start_idx = 0\n", - "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", - "# at each step and clipping the design on the bounds\n", - "for step_idx in range(start_idx, num_steps):\n", - " f, g = obj_val_and_grad(patch_params)\n", - "\n", - " figure_of_merit_multi_patch[step_idx] = float(f)\n", - "\n", - " if (step_idx % full_eval_frequency) == 0:\n", - " \n", - " s_matrix, _, theta_eval, realized_gain = evaluate_multi_antenna(\n", - " patch_params, freqs_s_params, opt_freqs_multi_patch\n", - " )\n", - " s_matrix_f_ghz = s_matrix.f / 1e9\n", - " s11_f_ghz_multi = s_matrix_f_ghz.copy()\n", - " s11_data_selection = s_matrix.isel(port_out=0, port_in=0)\n", - " s11_sq_dB_evolution_multi.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", - "\n", - " realized_gain_evolution_multi.append(\n", - " {\n", - " \"Gtheta\" : realized_gain[\"Gtheta\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", - " \"Gphi\" : realized_gain[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values\n", - " } \n", - " )\n", - " theta_eval_evolution_multi = theta_eval.copy()\n", - " \n", - " updates, opt_state = optimizer.update(-g, opt_state, patch_params)\n", - "\n", - " patch_params = optax.apply_updates(patch_params, updates)\n", - " patch_params = anp.array(patch_params)\n", - " patch_params = anp.clip(patch_params, a_min=clip_min_values, a_max=clip_max_values)\n", - "\n", - " if (step_idx % print_iteration_frequency) == 0:\n", - " # We don't print all of the optimization parameters below to reduce clutter\n", - " output_text = Text.assemble(\n", - " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", - " \"\\n\",\n", - " (f\"\\tFigure of merit: \", \"bold\"),\n", - " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", - " )\n", - " console.print(output_text)\n", - "\n", - "figure_of_merit_multi_patch[num_steps] = obj_fn(patch_params)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "After the optimization, we can plot the figure of merit and compare the optimized antenna geometry to the initial antenna geometry. We can see that the optimization made a significant amount of changes to the antenna structure to realize dual-band operation." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABVEAAAKVCAYAAADGPqv/AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsnQV4k+f3hg9aoLhDcXd3t8FgG4NtzMfcfb+5u+t/7u7M2Ya7u7u70wItFAr9X/dJ3ixN0zZ14dxcIWn0y6d5n+85z8kXHx8fL4ZhGIZhGIZhGIZhGIZhGEZQ8ge/2zAMwzAMwzAMwzAMwzAMwwATUQ3DMAzDMAzDMAzDMAzDMJLBRFTDMAzDMAzDMAzDMAzDMIxkMBHVMAzDMAzDMAzDMAzDMAwjGUxENQzDMAzDMAzDMAzDMAzDSAYTUQ3DMAzDMAzDMAzDMAzDMJLBRFTDMAzDMAzDMAzDMAzDMIxkMBHVMAzDMAzDMAzDMAzDMAwjGUxENQzDMAzDMAzDMAzDMAzDSAYTUQ3DMAzDMAzDMAzDMAzDMJLBRFTDMAzDMAzDMAzDMAzDMIxkMBHVMIyQmTt3rnTp0kXCw8MlX758smjRoqD3v/nmm3q9adOmVL3/F198kabXGYZhGIZhGIZhGIZhZCYmohpGGliyZIlcdtllEhERIYULF5bKlStLt27d5Kmnnsr0z16/fr3ceOONUqdOHSlSpIiULFlSunbtKm+99ZYcPXo00z73xIkTMmzYMDlw4IC88cYb8vXXX0vNmjWD3h8fHy85mRkzZsiTTz4pkZGR2T0phmEYhmEYhmEYhmHkAvLF53S1wzByGL/++qtccsklUqNGDbniiiukatWqsmXLFhk3bpzs3btX1q5dm2mf/ffff6tgGRYWJsOHD5dmzZrJ8ePHZdq0afLLL7/IVVddJR999FGmfPaqVaukcePG8vHHH8t1112X7P0nT55UcZXpxFkaKml9XWp59dVX5b777pONGzdKrVq1Mu1zDMMwDMMwDMMwDMPIGxTM7gkwjNzEwYMH5ZprrpH27dvLhAkT1IXqePrpp2XHjh2Z9tkIfhdffLG6P/nsKlWq+B679dZbZd26dSqyZhZ79uzR69KlS6d4f4ECBfSSWtL6OsMwDMMwDMMwDMMwjMzEyvkNIxXgNo2KipJrr702gYDqwJWaWbz88sty5MgR+fTTTxMIqI569erJnXfe6ft74cKFMnDgQC33L168uPTt21dmzZqV6HXbt29XYbhSpUrqAG3atKl89tlnCZ6Dw7Vnz556GycsLtFevXoleX9S2aZ8FvOO+cRn1a5dW26++WZ100Jyr0tpGinP57WIyUwXom6pUqXk6quvlpiYmATPw4UKfD6vsRxWwzAMwzAMwzAMwzCSw5yohpEKoqOjfZmoWc1ff/2lOag0cEqJ5cuXS/fu3VVAvf/++6VQoULy4YcfqsA5efJk6dixoz5v9+7d0qlTJxURb7vtNqlQoYL8+++/KnQeOnRI7rrrLn0eGazkvz7//PNyxx13qBMXQRNxNtj9iJ6B4NLt0KGD5pDecMMN0qhRI33eiBEjVOQMJkqnZhodF154oYqjL7zwgixYsEA++eQTqVixorz00kv6+HnnnSdr1qyR77//XjNcy5cvr/fzvoZhGIZhGIZhGIZhGEEhE9UwjNDYtGlTfLFixcgRjq9fv378/fffHz9hwoT4uLi4TP3cqKgo/cxzzz03pOcPGTIkvnDhwvHr16/33bdjx474EiVKxPfo0cN337XXXhtfpUqV+H379iV4/cUXXxxfqlSp+JiYGN99EydO1Gn4+eefEzw32P2ff/653rdx40bffcOHD4/Pnz9//Ny5cxNN76lTp5J8XajT+MQTT+hrr7nmmgTPGzp0aHy5cuUS3PfKK68k+hzDMAzDMAzDMAzDMIyksHJ+w0gF5JHOnDlT3Y44Kymx79OnjzpEKfXPLHBcQokSJUJqzjRmzBgZMmSITpeDCIBLL71Um1DxfvSUoxnVOeeco7f37dvnuwwYMEBjC3ByZgSnTp2S33//XT+rXbt2iR5PqolUWqbxpptuSvA3jtz9+/f75qFhGIZhGIZhGIZhGEZqMRHVMFJJixYt5Mcff5QDBw7IxIkTNXNz69at2vTJZW++//770qZNGy2jJ4PTn+QeSwrK8uHw4cMpPnfv3r06HQ0bNkz0WOPGjVXQZHp5HqX1H330kZay+1/4Tv5No9ILn4WI2axZs1S/LrXTWKNGjQR/lylTxtcUzDAMwzAMwzAMwzAMIy1YJqphpBEyPMkY5YLYN3LkSFm9erW0bt1aXZ8IpN99912i1yX3WHIiKs2Yli1blmHTj5gKl19+uVx55ZVJCsbZSVqmsUCBAkGfh5PVMAzDMAzDMAzDMAwjLZiIahgZAB3jgW7wQCk9/PPPP4mem9xjyXH22WerI5M4gc6dOyf5PFyaxYoVU0E3kFWrVkn+/PmlevXqEh4ervEAlP/369dPMhOmCSE4tSIwr8uMaUwqPsAwDMMwDMMwDMMwDCMYVs5vGCFClujRo0cT3b9kyRIZNWqUOlD9M0gzmvvvv1+Fz+uuu0471geyfv16eeutt9SJ2b9/f/njjz9k06ZNvsd5De7Xbt26qaDJ884//3zNHA0mbuKuzSgQbhGP//rrL5k3b17ILtHMmkbmIxAVYBiGYRiGYRiGYRiGkRLmRDWMEHnwwQdlzZo1MmzYMGnZsqXExcXJokWL5Ouvv1YHKteZSd26dVUEveiiizTbdPjw4Zoxevz4cZkxY4b8/PPPctVVV+lzn332WRk7dqwKprfccosULFhQPvzwQ4mNjdVmWI4XX3xRc107duwo119/vTRp0kSzXmnWRKMsbmcUzz//vDa86tmzp9xwww36HXbu3KnTjUBdunTpoK/LjGls27atXj/yyCOaZUs+Lc2rnLhqGIZhGIZhGIZhGIbhj4mohhEi//vf/1TwQwj88ssvtcS8du3acvvtt8t9992npeeZzeDBg9X5+sorr6jTlCZVRAmQC/raa6+pyAhNmzaVqVOnykMPPSQvvPCCZosiQn7zzTd67ahUqZLMmTNHnn76afn111/lvffek3LlyunrX3rppQyd9oiICJk9e7Y89thj8u2332qjKe4bOHCgxg8kRWZMY/v27eWZZ56RDz74QF3EzJ+NGzeaiGoYhmEYhmEYhmEYRlDyxVu3FcPING666SapXLmyNpJKzWOGYRiGYRiGYRiGYRhGzsEyUQ0jE6DU/9ixY+pW9b+d0mOGYRiGYRiGYRiGYRhGzsOcqIaRCeAufeqppxLc9/nnn2tmaXKPGYZhGIZhGIZhGIZhGDkPE1ENwzAMwzAMwzAMwzAMwzCSwcr5DcMwDMMwDMMwDMMwDMMwksFEVMMwDMMwDMMwDMMwDMMwjGQwEdUwDMMwDMMwDMMwDMMwDCMZCib3oJGQU6dOyY4dO6REiRKSL1++7J4cwzAMI50QC3748GGpWrWq5M9v5xUNwzAMwzAMwzCM4JiImgoQUKtXr57dk2EYhmFkMFu3bpVq1apl92QYhmEYhmEYhmEYORQTUVMBDlQ32C5ZsmSa3uPEiRMyZswY6d+/vxQqVCiDp/D0xOZpxmPzNOOxeZoz5+mhQ4f05JjbvxuGYRiGYRiGYRhGMExETQWuhB8BNT0iarFixfT1JqRkDDZPMx6bpxmPzdOcPU8tosUwDMMwDMMwDMNIDguAMwzDMAzDMAzDMAzDMAzDSAYTUQ3DMAzDMAzDMAzDMAzDMJLBRFTDMAzDMAzDMAzDMAzDMIxkMBHVMAzDMAzDMAzDMAzDMAwjGUxENQzDMAzDMAzDMAzDMAzDSAYTUQ3DMAzDMAzDMAzDMAzDMJLBRFTDMAzDMAzDMAzDMAzDMIxkMBHVMAzDMAzDMAzDMAzDMAwjGUxENQzDMAzDMAzDMAzDMAzDSAYTUQ3DMAzDMAzDMAzDMAzDMJLBRFTDMAzDMAzDMAzDMAzDMIxkMBHVMAzDMAzDMAzDMAzDMAwjGUxENQzDMAzDMAzDMAzDMAzDSAYTUQ3DMAzDMAzDMAzDMAzDMJLBRFTDMAzDMAzDMAzDMAzDMIxkMBHVMAzDMAzDMAzDMAzDMAwjGUxENQzDMAzDMAzDMAzDMAzDSAYTUQ3DMAzDMAzDMAzDMAzDMJLBRFTDMAzDMAzDMAzDMAzDMIxkMBHVMAzDMAzDMAzDMAzDMAwjGUxENQzDMAzDMAzDMAzDMAzDSAYTUQ3DMAzDMAzDMAzDMAzDMJLBRFTDMAzDMAzDMAzDMAzDMIxkMBHVMAzDMAzDMAzDMAzDMAwjGUxENQzDMAzDMAzDMAzDMAzDSAYTUQ3DMAzDMAzDMAzDMAzDMJLBRFTDMAzDMAzDMAzDMAzDMIxkMBHVMAzDMAzDMAzDMAzDMAwjGUxENQzDMAzDMFLNpk2bJF++fPLFF1/47nvyySf1vqyGz+Szc9K8MAzDMPI+diz8DzsWGqcDJqIahmEYhmHkUhioMGBxl4IFC0pERIRcddVVsn379uyevBzJoUOH5LnnnpN27dpJqVKlJCwsTGrWrCkXXXSR/P3339k9eYZhGEYqsWNh6rFjoWGkjYJpfJ1hGIZhGIaRQ3j66aeldu3acuzYMZk1a5YOKKdNmybLli2TIkWKZNl0PProo/Lggw9KTmXdunUyYMAA2bx5swwdOlSGDx8uxYsXl61bt8o///wjZ599tnz11VdyxRVXpOp9GXgePXpUChUqlGnTbhiGYSSPHQtDw46FhpF2TEQ1DMMwDMPI5QwcOFDdJHDddddJ+fLl5aWXXpI///xTLrzwwiybDtw/XHIicXFxOljcvXu3TJ48Wbp27Zrg8SeeeELGjBkjJ0+eTPV743zKygG6YRiGkRg7FqaMHQsNI31YOb9hGIZhGEYeo3v37nq9fv36BPevWrVKLrjgAilbtqwOdBhsMrj058CBA3LvvfdK8+bN1ZlSsmRJHZguXrw4xc8NzIGjlNK/xNL/4p/bFhsbqwO3evXqaUlh9erV5f7779f7/eHvu+++WypUqCAlSpSQwYMHy7Zt20KaJz///LO6kR577LFEg0ZH//799bumdl4Ey4Hju/MaSkmHDBmit5lu3i8tg1PDMAwjddixMDF2LDSM9JEzT48YhmEYhmEYaYaBDJQpU8Z33/Lly3XARE4cZYbh4eHy008/6aDml19+UWcKbNiwQX7//XcZNmyYlkXiVvnwww+lZ8+esmLFCqlatWrI03HjjTdKv379Etw3atQo+fbbb6VixYr696lTp3QASMnlDTfcII0bN5alS5fKG2+8IWvWrNFpceAs+uabb+TSSy+VLl26yIQJE+Sss84KaVr++usvvb788stDnv70zgsGiJRMduzYUV599VUZN26cvPbaa1K3bl25+eabQ54OwzAMI/XYsTAxdiw0jHQSb4RMVFRUPLOM67Ry/Pjx+N9//12vjYzB5mnGY/M047F5mjPnaUbs1w0jO/n88891HR43blz83r1747du3Ro/YsSI+AoVKsSHhYXp346+ffvGN2/ePP7YsWO++06dOhXfpUuX+Pr16/vu4/GTJ08m+JyNGzfq+z399NMJ7uOzmQbHE088ofclxdq1a+NLlSoVf8YZZ8THxcXpfV9//XV8/vz546dOnZrguR988IG+1/Tp0/XvRYsW6d+33HJLguddeumlej+fnRytW7eOL126dKL7jxw5ovPOXfz3B+mZF1deeaXe5/88Nx1t27ZNdloNwzCM0LFjoR0LDSOrOC3L+d99912pVauWWvc5GzJnzpzsniTDMAzDMIw0g8OF8jhK/yhRxFlDaWK1atV8pXg4VciEO3z4sOzbt08v+/fvV3fI2rVrfR2MKSHMnz+/zz3Ccyi/a9iwoSxYsCDN0xgdHa0OHxxB33//vRQoUMBXWojjplGjRr7p4tKnTx99fOLEiXpNswu44447ErzvXXfdFXInYr5HII888ojOO3fB2ePIiHlx0003JSovxdVjGIZhZCx2LEwZOxYaRvo47cr5f/zxR7nnnnvkgw8+UAH1zTff1B3m6tWrfVZ6wzAMwzCM3HaCuEGDBhIVFSWfffaZTJkyRQc9/p144+PjNQONSzD27Nmj5Y2UFL711lvy3nvvycaNGxNklpUrVy7N03j99ddrLt2MGTMSvA+D1pUrV+qgLanpAroIM4ij/M8fBnGhQG4cA79AbrnlFu1EHKy8Mb3zghP2gd+LgfPBgwdDmmbDMAwjdOxYmDJ2LDSM9HHaiaivv/667riuvvpq/Rsx9e+//9adLJkohmEYhmEYuY0OHTr4OhKT69atWzd1kXCSGLcIAyCgkQMnj4NBIwt4/vnndXB5zTXXyDPPPKONNxiw4XJx75NaGHzhuCHDrVWrVgke4z1pVsFvtGDgKMoIcPcsWrRIXUYMkB0MuLlAYFfh9M4L5zAyDMMwMh87FqaMHQsNI32cViLq8ePHZf78+fLQQw/57mPjx/Y/c+bMRM+n651/Jzys73DixAm9pAX3urS+3kiMzdOMx+ZpxmPzNGfOU1seRl6EwcoLL7wgvXv3lnfeeUdPEtepU0cfK1SoUKLmFoGMGDFCX/vpp58muD8yMlLKly+f6umZOnWqDlgZbF122WWJHsdNQ4ffvn37JuhmHEjNmjV1sIaDx99xw+A4FHDY/PDDD9rIg27HoZDR88IwDMPIGuxYGBw7FhpG+jitRFQyRbCeV6pUKcH9/L1q1apEz2en+9RTTyW6f8yYMVKsWLF0TcvYsWPT9XojMTZPMx6bpxmPzdOcNU9jYmIydFoMI6fQq1cvdeQQW8SAjcgi7qOb7u233y5VqlRJ8Py9e/f6Su0YeFLu6A9ZbbhWnEMnVHbu3KnZc7iBXnnllaDP4XEy3j7++GPtSOzP0aNHdbBIrt3AgQPl4Ycflv/7v//Tkk0H3zEU+BzcNLhoevToIZ06dUr0nMDvnZHzwjAMw8ha7FgY/HPsWGgYaee0ElFTC45V8lP9najY6Pv37y8lS5ZMs+uJAf8ZZ5yhZ8CM9GPzNOOxeZrx2DzNmfPUVRgYRl7kvvvuk2HDhskXX3yhDR0YbDGAo1yQaCMcObt379ZqnG3btqkDxrlUnn76aY0+6tKliyxdulQdK87BkxpofMGgFLcLzhd/WrRooZcrrrhCfvrpJ51GGmd07dpVT3pzgpv7R48ereWZlD5ecsklmslG3h3TNn78eM24CwX2E7/99puWcDIfzjvvPG1swaCUgSDNR7Zs2SJnnXWW7zUZOS8MwzCMrMeOhQmxY6FhpI/TSkTFas5ZFHaS/vB35cqVEz2fEGr/IGr/HU96RZCMeA8jITZPMx6bpxmPzdOcNU9tWRh5GQZGlAe++uqrOlBs0qSJzJs3T6tsGEzSWAJXTuvWreXxxx/3vQ6HC92Dv/vuO23I2aZNG82PT0t2PINGBoH+J6UdTzzxhA4ciVb6/fff5Y033pCvvvpKB3dU/DA4u/POO30ZbUCGPS4hBm+8hq7FTFuoWXG8F1lwOHj4nH///VfjnqhKouEo0+Qaa2T0vDAMwzCyHjsWJsaOhYaRdvLFB/qy8zjsFLD0v/322/o3tvgaNWrIbbfdluJOAMdSqVKl9IxPepyo2PQHDRpkg/cMwuZpxmPzNOOxeZoz52lG7NcNwzAMwzAMwzCMvM9p5UQFzv5ceeWVaoV3+SicVcGabhiGYaQdTkqdivd06MyfL7+G4gcG4/OceIn3PW4YhmEYhmEYhmEYuYHTTkS96KKL1E6PVX/Xrl2aKTJq1KhEzaYMwzBOB06eOimxcSck9kSsHI87IXEnT6oQeio+XuJOxul9J05yf5y4ugVEUIoY9KK3Pe8TDIRSBFOeh4DqD2VLBfLl1+v8+fLpZ/I+XOeTfFKAx/MjtnquPdN7SuK903fq5EnZFLVTjp2INXevYRiGYRiGYRiGkamcdiIqULrPJTs4zdITDMPIZhAuY44flWMnjqsgiljqf/vEybhM3+edjD+Z4G8VQONPSXyc95q/cbF6hVbPczzXJ93j8adUWFXhNX8BFV+5RB8/avtVwzAMwzAMwzAMI9M5LUXU7OSRn1+XzZs2y74SsdIooq7UrBAhVUtXVGHAMAwjPSAmxhw/JkeORcuRYzFy+Fi0xMSmLDIWLFBAChcsLEUKFVaBMr/X+Zk/fwEpXKCgFCpYSAoXLKQiJlCFr7fz5dP3Pnr8mMTGHZdjx2PlRNwJdYYyHUdPxMrR2KP6OGLoqVM4THkDplU8Qin/tMTf85758uv/6nfl+R4Ha7wgsUJ+/ulzRGJij8n6g1v1c0uGl8iKWWwYhmEYhmEYhmGcppiImoXEnjguI2b9Kyfi4mTxX+ukWFhRKV6kmJQJLymNqtaVVrWaSOtaTaRBlVoqZBiGYSQHpe+RMYfl8NEjKppyCVZWX6hAQSlSOEzCCoZJWKFCElawsIQV4u9CElaosBQsUDDkfdiBI5FyIDpKrw9GH1KRNhQ85fl+Gaj5RAqoIOpf0p//PwHX7z7P3/lUaCVuYFfkHlmzc6NsO7Bbdhzep85WwzAMwzAMwzAMw8hMTETNQhACyB7EfRV19LBeAHFg4aaVMnLBRBVUy5YoLZ3rt5YOdVtKq1qNpXyJMtk96YZh5CBwmu6M3Cv7D0cmEk05AcPJmRJFwiXce41QmhYo+d8dtU92Re7Va0TaYPCZxcKKSLHCRVWsLVLIcymqwm1hva9wgUKSzyuGetyunuvUfu+xS6frdy9RtLg0rFJMSh4vLHGnMjeSwDAMwzAMwzAMwzBMRM1i+jTtJMs3rZZj8XFyMDpK7/M0SDkhB6JxeEXKhj1bZcHGZfJZ4Z+lbHhpaRRRR3o16aTCaqOqdayjtZEnIQsz7tRJT2Mh7fLuycHk4poJJcSzHbimRC4nk79xVuK+zGtExRyWbQd2SWT0Id99iJWlw0v6RNNihYukax/B/N+2f5ds3LtNhdPAKIASRcOlbPHSum8qW7ykiplMQ2bDtPw2d4wcPhqty7hFjUbSLKK+zJGZUqlU+Uz/fMPIbl5++WX57LPPZMWKFZkSAdSrVy/Zt2+fLFu2THIKNP684IILZOPGjVKhQoVM/7xQ58GmTZukdu3a8vnnn8tVV12V6dNlGIZheLBjoR0LDSO7yXsqQw6GBi5VSleU6FKHpX6detKubnOpWLKcLNu6RsYvmyGLN6/UHEEyAE+eiveV527dv1MmLJspxYuES60KEXJu+zPk3Lb9pGqZitn9lQwjpM7v5GQej6OZUZx2eo894en4zjbBc7gO7NyeXvhhhfuRLE/njixauIiEhxXV69wEJ1zYDyAgAiJpueJldB+AqJkRxJ2Mk/W7t8qqHes1w9TB+1cpXUEql66ornjmZ1az8+Ae+WnWP+qMRcA9t10/nZYTJ05k+bQYRnZw6NAheemll+TVV19NNGiMjY2Vjz76SH788UdZvny5REdHS/ny5aVdu3ZyySWXyIUXXigFCnhc3zt27NDnDhkyRFq1apXp0/38889LkyZN9PPSwplnnin16tWTF154QV5//XXJq2zfvl3uvvtuGTNmjB4Le/fuLW+88YbUqVMnuyfNMAwjx2DHQjsWGkZOwETULASn3Fmtesln23epSDF99XzN+2tft7l8eN2zUqFkWdl+cLcs3bJaRi2eIpNXztEyWkRVHHqRMYdk0eZDsmTLKnnlz4+kXuVacmHHgXJexzOlbPFS2f31jNMUbSxEI6FYOsDHapMfvT4RqxmaqUUdpd4szHx+pd/8WPK0G0r42R63Ks2HcLF6XKvOzXrslGc6Dh09kuAzcKkiDuKiRJTDvZkTQTTEmb7/8EH9m3lQqWQ5qVq2Uoa5P5lXa3ZuktU7Nui8AkTmupVq6EkbTt6kFuZ9tHd9QJxlOTK9xAyEmr/q2Hf4oPwyZ7TOixrlq6qAmhXOV8PISeC6iYuL04GgP3v37pWBAwfK/PnzZcCAAfLoo49K2bJlZdeuXTJu3Di59NJLZd26dfLYY4/5Bo5PPfWU1KpVK8sGjrhn0jpwhBtvvFHuvfdene4SJXJGA7maNWvK0aNHpVCh9J9UOnLkiA4Uo6Ki5OGHH9b3ZNDYs2dPWbRokZQrVy5DptkwDCO3Y8dCOxYaRk7ARNQsBAdX14ZtJXLdLqnZor5MWzNf1u3eLLPXLZY565dIq5qNpX+L7jKwVU+9wI6De2TSilmalzp73SIVJhCMcKwipiK4PvPbu9K8egN5ZOgt0rlBm+z+mkYeBsHNdX2PPnZUYo57hLLkXKSIoKz7/pdCXocoYiad4XkOt7nOiLgKpuc4Tte4OO0az0kLz4Wu8UfV+XrgCM2RomTz3u0qFFYuXV7djTmlqRvb+Mpt63T+Mk9wg0aUrZyhTlBK5OdtWOpzuIaHFZMm1epJ7QrVQi6RQijHJbv9wC7Ze/iANro6FHMkaIMrIPe5YqnyKojWqVhdShYtnuR7I36PmP2vLju+/9D2/bPFCWsY2Q2lcoMHD5YiRRKe8Lniiitk4cKF8ssvv8h5552X4LGHHnpI5s2bJ6tXr5bczPnnny+33367/Pzzz3LNNddITkBPDAUsi7Ty3nvvydq1a2XOnDnSvn17vQ8xoFmzZvLaa6/p4NswDMOwY6EdCw0jZ5DxQSJGSDucZtUbyO1nDpd7Bl2jAiiOuoWbVsjLf30kv84Z7SunpVz30q6D5bvb35C1b4yXcY98Jfecda2KD4BLFZFo3sZlMvT1W6Tx//rL07++owJMesFBRiMXnGB7D+2XPVH7VXThwm134bH9RyL1uYhTRt4BgWzvoQOycc9WWbx5lQr+xE8gPO47fEDdpwiWnmZG4eqmrl6uijSoUkszKzvUaymd6reSNrWb6jrfoEptqVWhmkSUraTPJcuT1+F8xKGYUXm/CIC4FXGbIox6pqm2tKzZSDrWbanTVrtidRX0+EzW3XW7NsuCjcs1czQpATCr4GTJsi2rVUClOVNL7/RmlIDIMlu0eaVMXD5LBVTiDjrUbSFnte6lDtSUBFS289U7Nsof88bJe2O/0axSTgRt3LNNDh6J0vnHexQLK6oiKcsBsRwORh9S1+vYJdPko/E/yM+z/tV5H5i9yjLhMaavXIky6rg3AdU4HSEDbcmSJdKvX78E98+cOVNGjx4tN9xwQ6JBo4Myxssuu0xvT5o0yTcwufrqq3Xfx+WLL75I8Bpy5nCDFCtWTCIiIjR/LhDKJp944gktLwwLC5Pq1avL/fffr/c7eG/KKb/88kvfZ7nMtM2bN8stt9wiDRs2lKJFi6rDZNiwYZqvFkjFihWlRYsW8scff6Rp/vG9+WxKPHG3VK5cWcLDw3UgvnXr1qCvSWkeMJ3B5l1aGDFihC4Xt2ygUaNG0rdvX/npp5/S/f6GYRh5ATsW2rHQMHIK5kTNZmpWiJDr+lwk2w/sltFLpmouKmX8izatlCHtz5DWtZr4hCVECYQoLvefc7266P5eMEG+nPqbLN+2VkUIBIr3xnwjH477TppE1Nfn9W3WJVlRBMEjJvaYRMfGqHiDMIaIm1ZBFEENUQzxh2uEFP27UJg1xcrhsC5ExRyRfVH7ZWPkdlmwabkvP8hBp/cSRYpLeJGi2o2drux0YM+IZcs6zEkBxFsuGgkQd1wzVU+cPKnCPusl107o9JT55+NXipb9e9ytBaVg/gJ6jfBGuT5iLXmoPN9Tyh+uJyl4P04GEJ3B5yEQ7zq4V0vmeW30MbaLGP18PpNp5LsyH/je7pr3prFTeuG7rd6xXqeLaW4cUTdDxUPK4okS4WQIIJq2qtUkpEZczAvWCfZPrvQfEKNxllYqVUGFcf4uHlYswX6H+cbJnX2HDmhsyaa929W9umnvNr0gdiNuI7Bz4mbSitm6H0KEvaDjmTk2csEwMpsZM2bodZs2CStN/vrrL72+/PLLQ3qfxo0by9NPPy2PP/64Dja7d++u93fp0sX3nIMHD2r2GgNR8uMY1DzwwAPSvHlzdYS4kzAMuqZNm6bvw/suXbpUy+7WrFkjv//+uz7v66+/luuuu046dOigz4O6devq9dy5c/V7XXzxxVKtWjUdiL3//vvazIJBGwM2f9q2bet737Ty3HPP6b6b77Nnzx558803dTBOmSCD19TMg2AwaD58+HBI00JOn5uXiALBXEXMN3LheM+cUrppGIaRXdix0I6Fdiw0cgomouYQEA6u6XWBrNy+XstXERG+nPKrulMv6jwoaC4hOahX9BiqF8SGTyf+rM6uPYf2ay7k0q2r5Yr37tUGNPeefY0M73Ger1TZOUwRXRFNk0Kb8hQK8+VR+gtl/s4xMlsRvRBoPCXf0XrxBycagoh29i5eOk92T8+NsLwQ5FkfyN3lQHby5Ek57hXREQZLFvHkhyI8pjePUsW02KMaCcDF00AtWh2HR2JjMrzBVCCUrJcqVlxKFishpYoW122Fxk07Du7WbND1u7fo9HA/4j85nqEKxIjKOGwrliyrjZjYrrkkV7IeyNpdmzV2AHGW0vqM3E4QPictn63Lme2xU/3WUq1s5RRfh6BL2f+cdYt1Gwe+U6OqdaRRRF1tkJfSPOJxFZorROjJoy4N2khk9CE9cbR4yypd/yYsn5ngNRVLlZNz2vRN1fwzjLzGqlWr9JoOuMHup9TNn2PHjmm2mKNgwYJSunRpqVSpkg58GDh27tw56ICTnLivvvpKSyPh2muv1cyzTz/91Ddo+u677zRjbvLkydKtWzffa5mOm266SQeEDEZ5f/6mIUTgZ5111lmaD+fPOeeco9NFOab7fAfvQadgBny4cdLCgQMHZOXKlb5BGANxBoYff/yx3HHHHamaB8H4/vvv1dUUCu73E9PEgLNKlSqJnuPuY3pwKRmGYZzO2LHQjoV2LDRyCqZi5TBwnT147k0ybul0Gbt0muaeUkp9SddzpGm1+km+DrHntgFX6GXNzo3y6I+vySyv4LH/yEF56IfX5KU/P5bLug2WQa17afOfQLFUBY6wYuosRAyixDe1+ZDazMcvg9Ljao3V23EnPWIdl3z5tkipYiXUfZaTcihPJ6JiDqsbkeXhX76uDYCKF5WIEhW0xLtIWPocgORaEgmAYHYgOkqiYg7pupAcgS5PzU8tWCiBu5TmU4i9zqEad8rjUqXRFO/Puoi4z31HcVofj1FhdFfkHpm/cZlOEyccYk/E+tzT6pouFCZhhcJ03T1x8oQe4BEaPZ9ZQE8o8N7OMXs8DsesxzVL3urmfdv14g8nDRpXrSsHjuzTeV1IgjtLicY4cCRSPwOBMiMFVObDlJVzVUBl2+7RqENIDel2Htwj/yyarNMFZJN2rN9K6lWqmW73Ma7Vnk06auzDyu3r9CQSTmhcznUr1ZRO9VqmuhGVYeQ19u/fr4O/4sWLJ+pSDIH3f/DBB9rd1tG0aVNZtmxZSJ/Fe/kP8goXLqwukA0bNvjuI48Nxw1ldgzmHH369NHriRMnJnD0BMPf7XLixAn9LpRDMsBdsGBBooFjmTJl9JrPS+vAcfjw4QlcLAxcGZz9888/CQaOocyDYNDMZOzYsamaJhpyAGWggbicOfccwzCM0xk7Ftqx0DByCjY6zYEgnNBYirL9b6b+Lrui9qnDtHujdtpYJSXBkezHn+56R519z/3+nvw08x8VdxBP3h3zjXw28Wfp27yr3Nb/CnXJIWZmVLkwGa3IKoULFJICYfm1pNcJLTGxMXJI3YZH5djxYyqqcSFHETGnUqnyOi1G5oHYyPq0J2qfitv+wqkTtHGeciBfVXhZqsVtBEfWM49AeUBLt/3Lvh2IhKwbOFtxWeP25G/WfcQ+HKmHjx7xuFOPxXgFSo8w7zq+I5CG6lpluhBMOSGx73Ckpyxf4lVU5TFOIDjhFaG2bsXqUqVMRX1e0cJFpVaFqtKxbiv98ZYUnLDge9NciflLUzhiOvgbAXLqqrmybds22TBin7Sr21yzWSmBd9sH34kSd0C0DeY+Tyt8R0r4mQ6E6T5NO4fk7sQJjzuU+cIJlt5NO6m4m9GxHAjYbWo304thGKHhBkE4bUqVKpWg+YRz5Pzvf//Tk02hQjlh4PbNoI0yOweNH3CxVKhQIeh74JBJCQZDL7zwgjYJ2b59e4LKFjrzBuIeT8++p379hCeieS8Gq4HZc6HMg2AwCA3mogllAO2fn+fvovJ/jmEYhpEYOxamDjsWGkb6MRE1B0MznHvPuV5GLpig+YBTV82TnQf3atl/KNmLuM1u7neptK3dTL6a8qvmpqoQdSJW3xO36419L5EHBnvyWVIDQtb+w5FaBo3TEMELgTQ1DXkQwRCeEM4Q0Lbs2yHlS5ZVAQkxz8g4mM84CndG7vUtIwRS5jPiNWJmWkH05L3JFN0RuSeRy5nPKVfCE+FQplhJFcp5DesODcnIxeSahkTpaUzG5+BO5QeG/ov3TNsWdYbu8DVro4ydkvsKJcpImeKlNaoAV+mhY9ESFX1In7d650a9uJMLiHz/LpqiTnEaY3Gigvfwh+e68n1/cKviDl+0aYXs27VH3x9Bk0vlUuWlW6N20rl+a13/WU58VkSZhO+RXoj2YPnw3Xs07pCigMo8HL9spizctFz/bli1jvRr3tWXS8o2jyg8e+1iFac5SYN7vVKpctK0egPp2qBtovmQGazasUEOHvU4EAwjr0Kjibi4uER5YLhfAGdN165dfffT2IKLG/D4O2RSIjAD2+E/sOOkCplor7/+etDnus9ODjoMM2i86667tGyRgS+DNXLhgp0cI5vNPz8tMwllHiQ1GA426A0GDT2gbNmy6rzZuXNnoue4+6pWrRrSexqGYeRl7Fhox0LDyCmYiJrDQWDEfVq/ci35aspvsm73Znl79Fdy8xmXJevapFEOzVoQkWie88QFd8jKbetkxJxR2lUbtyBC6FujvpDvZ/wlr1/xsIokKTkYEcsQTXAIpjTd/i5Gj6jlcf45EU9LswsX0OnYemCXCrGIPKWKldRpbl+3uVQpnbZSBeO/5YYbEnHTHYwpWWf+pidGgWWIIEsTJhyX/uK5ipQlynqEypLlVBR0zky6siPmuVzNYOB4LFn0vwxWFy1RtJBrVhYmhQoU0s9h+in3LpAvf4ImRnzXGWsXyqhFk/VxmicxHYiVneq1kuJFw3Wa2T4ijxzSPNSDMYdUyN26f6fmou6M3K1l+jRdQ/jk8zjxUKhgQRVoEU1ZV0sUKabTwf2li5WUksWK67aJOF21TCWpWrqC1K9SSxpVqSPFD+STBm2ayILNKzQLlG1qxOxRMnrxVN3Gmc46Fasn2wgutTDfV2xbp7fb120p5YqXTvb5bKdMD8IrP+R6NGov7eu28HQXPRYj7439Vt4f912yWcrAyZtLupwtQzsMUKdvRsM69MPMkbJy7Wppu6ODNK9pOUlG3sQNEOlMTGdex9lnny0vvviifPvttwkGjsmRES5yGmIsXrxYO+aGkoUcDBpUXHnllfLaa68lcJtERnpiQwLhuzNoTMrxEwq4hgL3devWrUswT9MDHY9TmwPHvp5B+Lx58xI9Z/bs2Zp/Z400DMMw7FgIdiw0jJyBiai5BEr77x50tbw/9jsVr/5v1Jdya/8rEmUaIpqt271F9h8+6BPMapaP0G7Z7eo0lzNb9ZD3xn4nc9cvkbU7N0nU0cMqil7+7v/08Q+ve9bnIEOIQtzctGerlmYHukxxs+EwLFm0hN7mgtiFOJrcwQTxw+WlRuFgjTkskTGHNbsVEYtpJxuSPNha5SOkda2mUqtitUwRYvIqrnzduRuB8vBq5SpL2XDPWc60gAMRgZGyeH8h1NPpvpKKs6wHiO2b9m2X2esWa8OgYCJ7uRJlVNBjHaL5GU5VxNP0ZmDy2d/PGOnLJUUs7tusi3Z+37Bni2YNL926Rtbu2iTrdm3W+ZRa8kk+FVWZVjJUy5UsK+GIxYX2BxVAmd+4S/MfOiE1W9RTcZGO8zRrGrtkumw7sEvna6OIOtK0etLZx6mFZTRn/WK93aBKLalZPuWzuDhQnYB6Vute0jiint6/YttauebDh/TkDCD29mzcUWpViNBtE5c76xsRAAs2LdfcWS7P/PauXN/nIr1kZFzH5JVzdH0ML1xU6lWqkWHvaxg5DdwpwODCf5DDYPGMM86Qjz76SDPIzj333BQdI+HhnqqDpAZooUADCrLTaELhOg37O1A0/sP7OVwH+ywcLoHT9vbbbydZbjl//nzffEgrNMh46KGHfAMxBq84XOg2nBGkJQfO5dE9+OCDunzbtWun961evVomTJgg9957b4ZMm2EYRm7HjoV2LDSMnIKJqLkIMhrvGHil5poiTHmE1Mt9ZcU4OnGcIVAigJC3iHDjL5jhDHz8vNvUafbZpJ+10c+G3VtUAEHQ6fjoefoZ57Y9Q1buWJegNBuHYETZitp1HPGLbMW0gIPP4+Irod8psEs8TsVFm1eqILNx7zbZEblXKpcuL3Uq1pCGVWrpdzCSBrfg2t2b9RpwYFKCHkoToaTAzUpJOo2oHLwv6xgiPe5QREBK1Mn1DBTcyxQvpesiyzuiDOtPmQx1WwI/QmasWSC/zhmtURHkvLau1URF+Zf/+ljmb1iaZFyAiwJAHMU1fYpIgHhPvi+Sabyc8t2nnyXx+l7atOr4Md2OcMeS7UrjJYThEkWKS6ECOK2Py+Fj0epwJRR/82/v6smNdnWaSc/GHeR/Z18rn08aIXM3LJVdkfvkhd8/kHPa9pFuDdul+0w5ble2YUTuljUbp/h8BFBK+D0Cam+NL4B/Fk6SWz97QqNAIspWlifPv0PObtM7yeljG/51zhj5eupvug2/OvIT+XzyL/LMsLvUWZ/e78W6jSsYWldqYM2njDwNDgxy3egCfM011yR47JtvvpEzzzxThgwZot1y+/Xrp2WLu3bt0udPmTIlQRddnDM0rKDhBgMoBnYdO3ZM1O04OWh08dNPP2m3YRpnMIBlwEeHZO4fPXq0bwDUtm1bnQ7KHSnF43P4PJxDX3/9tZYuNmnSRGbOnKnPo1wzWK4cGWy33nprgvu/+OILdbtQCnnVVVelON2UC9JBmdfs3r1b3nzzTc2Bu/766yUjSEsOHNxyyy06CKdLMwPFQoUK6fyigzQ5foZhGIYdC+1YaBg5Bxt55jJw1d1x5nB5b8y36qB7e9RXKnoiyuAUI38RcbNhlTpJ5lwiYOBIrVOpuopLJYqEy0EaPO3dqq9//e/P5JfZo+WmfpeoOxDHGWJZZjd9QsjylICXleY1GqpwN2fdYtl+cJds3bdTxaBt+3fqNOHMxfVo/AcCH45GxDpu45SsXq6q5m6mRbDkPRCyEWSJf3DrDvOdzulkim7Ys00mrZilQpl/dg/rCq7HmhWq6brjsjQzC9bbH2f+rScCaJ5ECT4RBl9O+TXB85gupp8mUgi9XB89gSv6mOTPl88n8LMu8l3z58vva7jF45TGQ6GChSQ+/pTsjtqvwrJHUD2hOa8IpqWiiqvIzHuULlZCOtZvLU0j6snUOTMkOixOn0PGMRfmDS7Z4d3PlVU7NsqGPVu1xH/trs3qWOV90gInWhC2oX2dFilGN7C90UQKaGLnBNQRs/+VO798VudX7yad5L1rn5Iy4R5BXrNtj0SpkFyhVDnfcq5cuoLc0v8y3YeMXDhRXvnrY3X+3vLZE/L3wony+hWPpGt/Mn75TD1pRH5ynfjMz141jOyGAePjjz+u7hb/5gp0550xY4Z8+OGHWkL31FNPSUxMjJb7MXijvPGiiy7yPZ9ByZdffqkuFAZ+5Msx8ErNwJHjye+//y5vvPGGOlp+++03KVasmA5w77zzTmnQoIHvuQyAcOg8+uijOu2ULTJwfOutt9SBw/RRusjgk4EjDpZAfv31V81Kw/XjD01EINTB2sMPP6wDUJp4kKlHCeZ7772n056dMICfNGmSdpF+9tln9Vjaq1cvnb/pKdk0DMPIa9ix0I6FhpETyBefUjqw4ePQoUN6poiw5JIlS6bpPeh6jvV/0KBBugNPK2SSvjP6K81UJJexd5OOKv4guDStVj9klyjdxJ/97V2PGzX2qOZCOqEIV90XN70i3Rq1leyCcuT1uzeriEq0AMKJy3QkcxJ3XYmwYhkyT3MziFiIVC6rFqGZfE3XGCm1bNm7Qz779Rup36ShHtwpv69buabmdiJYLti4PJFTGfGbx2m6hOiY0R3ck4LoByIqEFApz0fIdDDdXRq00XJ+bk9cPkv2Hj6g6726R/MX1G2FS1GvmNmqZiMtYa9XuWai3Nglm1fL+OXTVVCsV6mW9GrSUU9C/D5vrHw68WdZtm2NL+aAXFgeO3HK636NF6lYuJTcfu7VUr1ChMxcu0Cmrpyr29up+FMqPF7ZY6g6Wv+cP17vQyS85YzLQmokFwjfFYG3dsVq0rFeq2SfixiK4Iwg2qhqXZ/L9Oupv8v9372kgvpFnc/S7GTmhyeGYJqW7ZNz7MCF26tJJzmjeVcpHf7fPpJ58u6Yr/UEDZ+Fe/mLm1/2CbWpgWl5csRbGgEyvNtQ2bZsfbq2/YzYrxtGZsP6ycDs5ZdflmuvvVZOJ1q3bu0bSPnDQJJuwnPmzEn29QzKevfuLT///LOWCxqGYRi5EzsW2rHQMHIC5kTNpeAyvaX/5fLa35+qyBgZHSWXdx+iDk7EolAhv/K89v01IgA3KvmmZJD+u2iyHDkWIxe+dbvcPuAKeWjIzZIdIAIi6tBkiGZACHh819i4EyoQjVkyVWqUq6Ll26crkdGHtNQecQr3ae0K1aViqbRFHpAxSRd5ROujcbFSuGBhaVK9ntSrVNM3v3E3unMvrIeI9k2q1U+xYVFmQHzFvd++IMu2/idehhUsrFmeA1v1UpFz7a6N8tmkX2TVjvWaJ4zgTLMqsmFrVoiQ/s27SY/G7VX8TcmtSWZpVMwhzfokeoJcThqynd/xTG2+hBuWSAEeR6xFqL2iG9lM+WTiilmyKWqnPPbzmyrQ4iAf2q6/fDv9D5m2ap6exPhg3PfSJKKeXNzlLBVScRYT23HbgOFJOsuTaizH8uIsebNq/50JTwo+HwGVEydntPCE8r8z+ms9wQJX97xAnrvoHp13H034QR20DvY3iNDsL5i/NKpDVL6827kyoEV3nQa247sHXaMC6w0fP6J5tee8cr1mMCNwpwYyWRFQ+cwmEXVVRDWMvA5C//333y+vvPKKluBldBxKTmXUqFHaBIOySH84BjEgpITTMAzDOD2wY6EdCw0jJ2BO1FzqRNX3Ohkn01bNVbcYt3s07iDX9b4wZAcgIsvMNQvV3UlZM8IPAgVCEk60l/78UIVVoKP5iLvfyfTsQbc6BvsO+49EqliIvR9RBtGM0nXNn1m+Um4adpVElKsspxO4MCn7Zr7ROKph1dqaBZpamKcrtq/TC7fjT8XLng3b5bphw2VfdKRmnW4/sMv3fFyu5I3iKMyOHzA4bl/44wP5ZtrvPvEU1+ZVPc+XS7qeo4IugvCH475X8RJR+EhstOb6IhTSEGlYp4HaQT61jllc21v275S1OzequF+6WEnp29zjdEX0HDHrXxVYF2xaJvM2LNPXDGrVUx4dcqu8/sOHsvzQJjkS68mrpfP9wFY9pWrZSrJ+1xYVINkeWYYXdzlbc1wRDKuXqyK3DxgessN83NIZsu/wAXUGt63TLIHg/sXkX2T1zo16m/clboHtiHlGsyt46pe3ZfSSqXr7tgFXyCNDbpEt+3fI7Z8/pc8lH7Zx1boytEN/GdLuDJ0uckrJdR25YIJGEkD7Os3lrkFXJ4gkwCl87YcPqdjMvuaDa5/RDNhQ+X3uWF2mLLtLOp+d7v2pOVENI29j7hvDMAzjdMeOhYaRcZiImktFVIQuSocRk/YfjpQJy2dQLSxnt+mjpbQpsXL7elmyZZWKb2QTtqvTXEWUd8d+o2XACEu3D7hS3vr3c5m5dqG+huZEYx/5UkuU0wPi1s6De2X/kYOaX4lQG3siVhvwxMYd1+Y+iKS4ZMlepCkR00aWJY9RRo7oS7kwuZyz1iyS6XNmSsuWLaVVrcbqijwdoHmPy7wsX4JS+pppEjQR02avW+QTzJnPzSIayB///CVh1UrJ9oO79X5crk2rNVBRLjtcp8D6SqbmA9+9rKI6UHL/+Pm3y/kdBvicpCu3r9McTsRCyuURJVnPz+swQK7qcV6anbqAG5M4A64RBClnx9HauX5rfZxl8tvcMR4xWuI1v5j1ulfjjnJ+9e7Su28f+Wra7/LDjJEqmBKD8ObwR9VFjoMUByjbNuDSJAeYxm84fjlJktIyZr5Qas/z2B+4nNJvpv4uz/z2rkTFHA76OvJfyW/FPQtsg0+cf4eKuW+P+lI+mzRCneC8L/PSOd4Rr+89+zrp2tAT+8H3RoBFrOXkTu0K1eSJC+7Q7dmB8H33V8/KL3NG6zL76PpntZFVKMsfgZf5fk2vYdKkal0TUQ3DSBYbOBqGYRinO3YsNIyMw0TUXCqiItQgoiFkNKvRUEuwKSVGCKHxVO2K1YO+jsVNB24cnUDTKEQxJz7x+Htjv5Xxy2ZIwfwFVJxC7Plk4k/6OB3WJz/xvbr5UivULdu2Vj+XbulppUx4Se3wzvQi5pKLGlG6orz3w2dSuW41ze9E0OpQN+VGOrkZhMGNXrcfOZQs77RkkK7asUHFdIQv3IRtaiOQlpIJS2fKn5NHSf369bWJElmhneq3VLdrdoH4fv+3L2mpOLAOntOmr7x4yb0S5ue+HbNkmrw/9htZv3urRMfGqHhHLuqD596kzsuMAJEWtynRAev3eOINOtVvpScaXHk8Jx8QIhtWrSM3f/q4iq4tKtaTPx/5RIqEFdGS+Ed/fF0FQYTg1654WN29LAscqQiM0LJGIzl07IieODizZQ91ribH3PVLdP/gL+ziyH1ixFt6m3iMCzsN0pMQLHuaSe08uEcFT/8c2cfOu03n3R1fPC1rdm1Spyl/D+8xVB2u63ZvVscrJ0Pg2t7D5Ma+l/jWw9U7NsqLf3wgUUcP6/OfGnZnApc0ubI0rKJxFff/es970qZ202S/G43OiDBhvj970T2SL15MRDUMwzAMwzAMwzCyBBNRc6GISgn3mp2b9HaTavXUrcli/Grqb+qQ4+8HBt+QqKs3z0FgcaW2rWo1kUZV6yR6f0ScV0Z+ou5EhKpXLntQS2hp5hLvdZ5Nevy7kIRUypv5TBr+OBBZED8RjnA04jQlo1Ib/BT0lCsfO3FMy5gRXxGZ6IK+59B+Xwd4HHy8D1mdneq0lMWzF0ijds1k8dbV+hzcfd0btU9zY6WcDPN0897teptlgViWWhCw5qxf4nsf3Ke4kRHfJq2YrfmcZO8M6T1Iujdun65O6hnB/A3L5KZPH9NSctzINCS6se/FcmHns3yiHes3JxK+mvKbCnzcW65EWbnnrKvl/A5nZmijK9ZJ8lgRHIuFFdVMVm4PbN1LnZ+sgz/O+kddpEQf0DTqkrfvUifnzf0uVWfm5n07ZMW2tfL55F9UEEdIxJHqyu9xhJNVTIOpBlVqSUzsMf0OfO+k3NYIoX/MG6uCa99mnaVCyXLy/YyR6vqEuwZeJfedc73vBAMnSJinzao3UKEcQZQTK4jlCKvXf/yIXpN3Wr18FXl06K2aM+uIjj2qAi2iL9B86n9nXeub17z3Iz++pq+n/P7hITcnWA6sh1e9f7+MXTpdKpYsJ6Me+lzXxaRAtP1rwXidVkTbjNifmohqGIZhGIZhGIZhhMLpkcach6AM1omg1cpVUcEUECZwlyFKIvD8Ntfj1vMHgZXX8lwcasEEVKBc9+5BV6t7DPGDsuire10gT15whwpTiHi9n7lMhbakQBT6bvqf8v30v1RA5TNx6dHw59b+l8sV3Yeoo65DvZb6ORFlK6moSvMcLog/3E+znv4tuuvzyYQ8t10/qV+llgpXzAtyFT+Y8L2sPbBVapWvJj0bd1DhlO7rk1bMUtEqL0GOrRM+ybJMi4CK8IXTmPdhueD+Q1D/Z9EkGbV4igrUiNzdq7fSxkDZKaAijFLePvjVG1WQCw8rKn2adZaHh9ySSEClfNyT97lBowcaVK0jX9z8klzQcWCGCqhADiqiKaIl7uxyJcro7SWbV/m2of4tuqlYiTCNQPjqpQ/pY++P+06bRh2KOazOzlcve1A61W+t8/2ur55RYRV6N+0k951znU47J01whsN30/9SV2gwWKYIqLwv2xDb3sPfv6KPsf08MPhGn4BKdADzlGnt1rCdboOIkwioxAfc9sVTur4VKlhQGlStLe3rtNDtyx+Wxz1nXaMnbZhORGznFAacv48MuVW3STKXiWLwh2l5/9qn1R3LSZJbPn1c4ryO2GBs2rdNr2tX9Dh+DcMwDMMwDMMwDCOrMBE1l7FxzzYVSRA66ErvD87Ty7qdq2IGLtLlXjEGuL12l8e92rFeyxTFN0QPcg4pmUd4/WTCT3Jjv0u1xBcQX/o+e0UiwePIsWgVUUbMHiXbD+xWkaRlzUYqwtLIBwddoEM2VJgmOqjTyOb6PhdpV3VEZITemduWaJMh5g3iE64+yq0RUl3joaSgzFrFyX079Hvh9E3pNdkB38dloOJATUtpOgL72KXTPKXohQpL7yad9H7ER9YtxEeEMhr2lC6Sve5T1q37vn1RO8TjWKxRrqqc2bKnxlX0a94lgTD6w8y/1fnJOs76heD35c2v6PqSGfDZOKjdPHVl6DRmc1mtnNBo53WVUjJ/Tpvecmadzvo3ma6sa4Br+j8h9bjc++2LehIAOtZrJTf1u1Rvb9y7TeLjT8nhY9Hy69wxQaeL50CdSjVU1L318yfl6IlYbWD10Lk3JZhnnFSBBpVr64kLf97853MtnUcsRoxFML6y53lJitEI1Yi08NrIT337GqDZ2VU9ztfbNMFzJwEc7MsQu3G2z1q3SN745/Ogn4FQ7l5bq3zqTx4YhmEYhmEYhmEYRnowETUXQWk7HbcRMupWCp6BSemwc4v9NPNvdbch7Czdslrvo1TY5TamBOLO3Wddo58zbtl0dS/e0v9yeXToLT7B5txXb1JxA3C9fTH5V1m7c5O62/gsSo9xkmZ0IyKcdt0atVMHXDtvh3VyGykrxg3Ys0kHFVJpljR11Vyf2IszlXnx65zRWir9+E9vyoPfvyLP//6+vP73p/LqyE/k2d/eU/HuiZ/flI/G/6AZm4g32Zl8gTNw7a6NOg00RUqLAxWxj1L9Y8djPR3lm3aWFdvXyR/zxul8wYk4vMd56g5OS4OqjAQB8MZPHpNvpv2hf7ep1VTX61v6X6bCoj9ETXw37Q9d/xBQiSV495onpaxX5MwsyhUvo9eIpmXDS/m2K/KJHQijiIM0c2Jen1O/uzaIYlngSOXEANOMoP3ixfdqKT0C6oPfv6zCMdAobnDbvrqO05CNZTVvw1KfY9X/ZIDLG8al/PH4H2Xx5pW6rN+68rEEy5T1iQZt0Lp2kwTvQ54rjbGga8M2KqC2r9M8See647KugzVLlSZaT474P9/0w4CW3VVoZrl+MO77RNsS8+7lSx/Q24ioCzYuS/T+bMvk4pL7jAvfMAzDMAzDMAzDMLISE1GzgbSIcbxm0z6PC6tyqfLJNvihyzWiJZmiP836R+auX6r3N4qoqyXyqaFVzcZySZez9TaCImLibQOG+9xxlOje9vmT2kQH4QUhh1Lw4d2HSJ+mnSU8lQ2oUgtl/YPb9pPWlRqqY47PJ+vz7wUTpW2dpipSUbbMtJGVST4jTbImr5yjTa5oegMIrnQmL1W0hC+XlfmHg5cS5Nf/+Uy7gv+zcJIKOVkJYtSq7et9Zdp1K9ZI9XvgPCVjEwGO0nOE0pELJ2leLRCbQJ5lRovdaf2+t3/+lM53BDO6viPA3X7mcBUg/Rm9eIp8MeUXWb9nq4QVLKRl4W9f9USWNMBifcG5i2sZd2jzGg1VqEQEdW5U1j/mLbBe8n3euPxhKVigoM77VTvW+96PbeXVyx9S0XXJltUaheG4vNu5Uq9yTTmJE/XoEd0fEAngMoJdszEoW7y0PocGTED+Ks3Y/Fm+dY2uT9qYrUwl3/2sH6+M/FhvX9z5LNnkdX6e0aJbivOD707kB9PPtvXPwsm+xxCAbz7jMt22iFtgfxHIeR0GyAUdz9QM2P9980IiNzgngwCxPy9mHRuGIfLuu+9KrVq1pEiRItKxY0eZM2eO77HVq1dL165dpVq1avLss56cZ8MwDMPIa9ix0DByNiaiZiEIFNNXz5epWxclED9CAVGGHETK46uXr5rscxEYhnUapGIULj3K0xEe6PKdFmjK41xkb/z7uYobiCWDWvXSx+ki/v7Y7/Q2z7u06zkqaGYVlCJXDC8jHeq20AY5uPp2Ru6Vv+ZPVBfduGUztIwYJy3fgexVMiAv6XKOZr++eMl98tKl98tTw+6Spy+8S28/f/G92oTn/A4DNCeS98Q9OHrJVHlqxP9pR/HDR6Oz5PtRZo84zDTQ6T21LlHWHRdrgIDKesD0bz+wS9+TnFmaBbmszOwEcfCRH1/XSIj8+fKps5GGRDiicVcGNpv6aMKPsuPAHl6ogiAd7gNL0zMLlkPpYq6k/5DmgxI5AIiIDtYfxH7cqNsP75HGEfXk3Lb99LFPJ45IsC8gouHOgVfpbRyblNQDous9g65REfJI7FF1pbOOL9jkKckHlidUK1tJnvvtPYmOjZHWtZrIRZ0GJZr2VTs2eKatZqMEjnac3IixZLi2qd1MTxgQmcH7hALPvbbXML39/rhvdb11INAPbuf53myPbIuBsA0iAq/cvl7eG/NNgsc2e08i1UqDC9swjJzPjz/+KPfcc4888cQTsmDBAmnZsqUMGDBA9uzxnCC67bbb5PLLL5c//vhDLzNmzMjuSTYMwzCMDMWOhYaR8zERNQtBrFiydZVExR5RN1ZqhCWXn4ijDGEwJehejquSMvZl29ZKh7ot09xch9eRd8j7Iep86y2xfufqJ3zOxfHLpkvTag2kb7MuKvhkNeWLlVaBCfGHnM8ihQrL5JWz5a1RX6pLEAcg5d1XdDtXO4yTz9qpfistIw7MaOX7IojVrlhdejTuoF3An73wHrmyx1CpXaGaxJ06KVNXzZNnfntHy+NTK4inVgAlrxVwEafWgYfQO3XlXBVQy5coq07Nn2f/q4JemfCScnm3IZmWG5oWiFggn9WVwlPCj6gY6JCluRnuYJozIfTh4kTYr5nCCYaMpnS4JzeW6QA3L9leKZkHlpnLRt0QuV1Onjyp5fmsdzhR/1owIcF7IrByQoCy+Jf/8rhCoXLpCurULJA/v64XiJA4o9nGub07ar8+DycsDnR47qL/JRLdORmwK3Kv3u/vTN93+KB8NmmE3r5twBUagwF9mnZKlcDOCZyqZSommA7HkHb9dL1jnZ6wLPGPPpbzM8Pu0ttv/fuFTqfDl4caYhyJYRi5i9dff12uv/56ufrqq6VJkybywQcfSLFixeSzzz7Txw8ePCht27aVFi1aSNWqVSUy0uP4NwzDMIy8gh0LDSPnYyJqFoKY0qaWR0yZvW5xyOIbgklM7FEtHY4IKMtNCpxwNJdB0ESETY1oGww6tCOswMiFEzVXFAcqLlW6hp88dUqe//29bMsNRSTFocbnT1k1V9bu2qwiFJQoUkxLhcnS3HZgt+bEpmnZ1W6mgt6t/S/Xxk44i4kJeGvUFypAZTSIYxu8jaRwErMMUgPfEyGZawTkWhUj5Nc5o3RdwrV5SdfBmZ4bmhpGL54qz/32rt7G+YhD9uYzLlVB2x++z8t/fqQNxRAOcZ7SbAzBO6shXgGOxMbo9sz8JEuY2+t3bU7gRkWIPBQbLZv379CSdwRFIIfXf7tBxH/w3Jt0u6JBnItcAOYJ616hgoVUYGTfsGjzSr2N8zy8SFF5/o8P9LnEM7iGV/6s3uFxyeKa9Z+3iNc4R4lM6NqgjSzeskrvJ5YjNeBupvEb/DBjZALHKcIx2yIgHgfbB/I4Gaw0xHKRBGwL7kRSTWsqZRh5juPHj8v8+fOlXz/PfhE40cPfM2fO1L+ffvpp/ZvBJI/hzDEMwzCMvIIdCw0jd2AiahZDxmih/AXlQHSUNkIKhZ3erMPKpSuG5PLEmbd48yoVSM5s2UMFQPIT/Ru9pAUaReHyRPig5HrHgd3a5OjJ8+/Qx9ft3iwvegWc7IBcU7qg0xiHeXBGs25yQ5+L1X2J8w1XJgLcnHWL0/wZCFy4De89+zq5sNMg/UxyIxHClm1d43teRojJm/ftUAcpwpMrEw8VlhHREQiN4WHF1L331/zx+n6UxSOwBYqT2cmiTSvlxk8eFeZavUo15YHBN8rw7kODru+fTPhJnai4PxETq5SuoOX+2QHLhu2L+Y3jWbzTD1v270jwvPqVPfe7EvyLu5yjy4ZO9s716V/WP9QrNr49+ivf+sT8uKrneRp1wDqOkI8benekx628bMtabSaFSPvIEE8DuEDcCZWGVf9zILvcYOAkwZKta/QzEWwD81RDYUDLHiomc3KB3Fp/NCs5rKjGBpATG2wbe/S8W/X2d9P/0vnD++AAR6AljsMwjLzFvn371KVfqdJ/Gc3A37t2eaJKBg0aJHv37pUdO3bIb7/9JgUKZH8EjWEYhmFkFHYsNIzcgYmoWQwiQO3SHkEMl1lKYtuRY9EqliAs0FAqFOjcjWBK+e/wHkOlRJFwLa0NJlikFt4PJyPC7sa927Qs/rq+F0nn+q318XfHfpsgDzKrOHI8Rv5v9JfqTMTxx/QM7zFEp69FjYb6nD2H9qtzjyxJ16QmrbA8aHj04Lk3amf2FdvWya2fPSnnvHy9XPDGbXL+G7fK1e8/IA9+/4o2ssJNGCwDMilY5q6UuW6lGqnOQV20eYUuc6IfGlSpJf8umqyNhCjfJueV9TCnsHDTChn+3r0qcCOQfXzD85rRGix+AoEcoRwxGPcnYuJdg66WYgGRDFlJyaLekn5vw7GqZSvpOohoT+m8o1m1Bnq9cts6XRYVS5ZVIR4+nfhzove9rveFKr6SD4pQ6mhdq6k0rFJHhUjEZByaNEA7cCRSPp30kz7nnkHX6gmOYA3GEEwDS/k/n/yLzlOcq+3qNJeFGz1CbzAnayiw3iHUw7fT/kywn+M7cXIH/pg3LujrcY0PaNFd92Ov//2ZrstAXEdaY0kMw8j9hIWFSYUKFbJ7MgzDMAwj27BjoWFkLyaiZgOIqDjKEDMQQZLDddxGXApF+Nq4Z6u+LyIOJbE4JckphTFLpqXbjYrbsi5Ou3wiew8f0PeHL256WcURym6vePfedH9OakAU/Wf9DNlz6ICUL1lGbuh7kTaYonQfwaV/i+5aooxjEPcsYhfCXVrK+h2IQrPWLpKX//xYy6kPREfKwehIbX6z77BH8Ik6etjbpXySvPDHB3L1Bw/IN1N/V2E8pfemmRQghKW2jJ/c2jU7PS7nepVryZil01Qgq1khQs5u0ztbMmuDgXsTh/QjP76mAjfL58c7/0/zfINBjuvHE37U2y7HFsEPd3R2UtLbyMqJqAiIzr25ZZ+nBN25S4sVKiLRsUd1u8ctek3vC/QxlhHOY3+IBnBCJI5MB+v0xV3O9sQDHD0iR2OP6QmSb6b9oc5jhM/r+3rK6QNxJw9wmLp5yAmR370u1Bv7XqzXC71uWZp6pZWh7fvrZ+BQJ77En4GtemlcAa7YpE5o3HfO9XrNOoJIDLhbDcPIe5QvX17dNLt3705wP39Xrlw526bLMAzDMLIKOxYaRu7ARNRsoHCBQtK4qkcoWuB1fAUD56LL2qRRS0oglFHGD82q19dmO4BjEjcqTrW565emeboRO2asWaDZo82rN1Cx78eZf+tjpcJLyOtXPKy3ERKf/dWTbZnZUKb/3thvJObEMXXe3j3wamlXt4U+xveNPhajotOAlt21jB1BcuX2deoSpIQ8LazbtVke+uFVefmvj1QEQjQb2LKnXNZ1sIp6xAfQsOm1yx+SuwddLYNa9dSO4zh4f507Rm769HGZuHxWki5kRFiEVkSy1OY/8n1xIkO1slW0pP/Y8VjNVCU3NKcIqEzn++O+U4FsiXedfeL821XsTgoEVErmK5QoK1u8ndrvGnh1tjsTS3pFbtYpt0xrlKviE7QdTGdE8Qpy/OQJ2X5glxQLK6ZuUJpn8bqvp/6W6L2HdRyo6wHOYtZbB+5q3Khs18QGzFyzQDbs2arxAO9d81SSzedcxID/eoVTmlJ5mlmR+8uJmMiYw3qCJClBO6T5UrS4ZrgCAm+gQNy2TnO9zbYQDE6E9GjUXk/IsN04J6phGHmPwoULa6OM8ePHJzjRxt+dO6cul9kwDMMwciN2LDSM3IGJqNmYjQq4tJyDLRBKWBFXihcJ10tK0OkbdyXiBQKLA4dfn2aeHe/YpdPS1E0e0eufhZP1duvaTeXuQdf43K3bD+z2Oc+6N2qntz+dNMKX5ZpZUJr83phv1NlXrmgpue2My6V0eEkt7aYTPeBGBYQoBJ2yJUpLmfBSmhuJ6ER5f6iwLMiNfOD7l9VhishEt/QPr39WHhl6izxw7k1yaddz1TFMQ6ftB/dI90bt5bo+F8nH1z8nDw6+UcUrxFRyLl8Z+Ymvg7uDZePciwifLLvUTN+sdYtUTEcsXrtro0THxqiblWWTmvfKTBAW+e7Mw2VbVquA17FeS7m6p8eVGQxcvwj4NBBjGZ+Kj9eTA/65ntkF6xtN3xD7mN/upAf38bf/OlauWCldTrui9vmEziu6D9Hr3+aMSbRtsuzOaN7V16TJX5Ad1LqnrmusLzsiPdvaK5c9kGT3et57q3fdqlneEymC+/XvhZP09k39LtXr+d4TOwi16RXdL+58ti4zokvINvWnT1OPg3jKyrlyIu6Eiv/3f/eSXPL2XfK/r5+XkQsmyM1nXKbPQSRmvTYnqmHkXe655x75+OOP5csvv5SVK1fKzTffLNHR0dqh2DAMwzBOB+xYaBg5HxNRswnEAMp7ETacEy+YyxIqBck2DAQh0XXdblGzUaIMza4N2kqxwkXV2bpk6+pUTSuiz6jFU1QQIlaAvMrmNRpqqe+p+FPy0yyPGxXev+YZFV6Oxx2XO758WjLVyTj2W3XM4U47o3ZHKebXKKlaWU8g9/4jB7X5DiB6ntu2n4rMCF50vk/OCRzoCqZ51NdTf9f50a1hO3nn6ifl0q6DVZR19GvexZf3OGL2v7LCW4aM6NWhXkt1p17e7VwtZZ61dqE88sNrsvfQ/gTLHCEccSwU97E/iFQI77w384dljTPxvPYDfKXb2Q1Nvd769wvNCiX6YdO+7Tpvnr/43iRzX3HlfjT+e72NoDht9Ty9PdwrPmY3TD+OUKCcHtgGKpfyZBXt9mbbQuH8hXQ9JcvVuVT7Ne+q6+T2g7tVBA+E0n13wsI/Y7VT/dYqUBIlAa1rNtHO9knh1i22g0refOWPx/+g2wLrM9s0LPPuH1rVbJLuecOJABpJBXOjtq7VREoVLSGRMYfkts+fkpu9Dm2c3lNWzZWnfnlbs3wbVa2j2x8ZzBXMiWoYeZaLLrpIXn31VXn88celVatWsmjRIhk1alSiBhuGYRiGkVexY6Fh5HxMRM1GWtXyiBTk/QWWdlMajGMRYSmUbtSIdYghiLPkHQaCKNetUVu9PXH5zFRNJ9OHaxM359lt+vgcdJd4xZ1pq+drcxsgk/T6Pp48xumrF6iDMKNBfPtowg+ao4kr8ca+l0iRggnzYokyQJhivjoxGpg/Z7ToJhVLlZeNe7fK+l2bE5RcBwMR9sU/PpCZaxeqQIljjzJ9SpKDgYiKs5LP/mLyr74GUcDyROh65sJ7pHSxEhp98MiPr+tzENQR0oBlyPwOFYTGJVtW+QQ8BCc+a3C7vlLCm9mZnTAvaCL07fQ/1XnaJKKebNq73edWTK6M//NJv6hYzjxhK8GRSJMmGizlFMK9IipxA45KpT1CJa5Tx/FTJySijMdhjFgIiJpk1cIvs0clem/mDUIi8238shm++1kX3foSVrCw1K5YPcG6HojLXOXkDesGn08Wq78LlX3IGq9jtHG1epIRXN79XL0evXiqRgX4pr9AQenSoI2s371FJq6Ypes7Tc+IBbm29zD9m/v5bsBJj1D2hYZh5F5uu+022bx5s8TGxsrs2bOlY8eO2T1JhmEYhpGl2LHQMHI2JqJmI/Uq1VABhXL+QCEPgRDKFS+dYkktLlREM2hRo1GSz+vRqIMKL4hX/mJGSuKcyyzs2rBNgnLaOpVq+MRCXJcOytYRMHGp0jQoqezPtPL7vLH6HXDW3nLGZVImvGTQ55GRCghL/mXSiFKUKpNTunjLKlm0aUWS04hg+8rIj7URFWLOo+fdKv1bdEuUgRnoTKTrer3KNSU27rh84e187g9l6C9d+oBElK2sjtHHfnpTm3Yh2CJ4pzb7cf6GZdrxHdbv9ohzNFwKJqhnNQhz303/UyZ4xXtE5rqVasj8jcvUIfvA4BuSfO2qHRtUSGOe3nTGpTJqkSdS4sLOg7I9C9UfmkT5O1HBuT33H470NVqLjfOIqIUKFNIoD7dent/hTL3+a8GEoA3P6FQPoxd7RE8YMXuUbsf5JJ9+Ptvb3PVLkpxGBHsgGxg+HP+9rr80nnOxCOyHWAdZLi7XNb2wvZH7yjz4v1Ff+e7nuy/eslIbhrGdvXDxvfLguTdpBAaiLhEY7B93H9qnzl32k8u3rsmQaTIMwzAMwzAMwzCM1GIiajaCONqwqie71HWfBoSN/d6GUqGIaau2r1dBAtEmucxAHImu6dLEFbNDmsYJy2epqIMg2b6O57X+IBY6N6rLRkUEdJmpK7ev1+ZGGQXl91NXzfM53JxQFQxcazj+EDADs08poa5doZrGDpAB6QQmf1gO74/9Tj8TAfWx826VwgULyyX/d5c0uLuf1L+7r3R67AItO0YICly2V/Y4T8XknZF7E4jMDpbV08PuVKGT2AEaVSFgIbIlVdoeDDq98xk4FbkmLxThinLp7IZ5/+nEn7V7PKXnNN9CRH3jn8/18at7nu8Tu4PN/88njfAJwseOH1PnJREFRErkJIqHeUTUo8eP+QRTlj1iJH8TswCxJ4+rWxvRk+c652jn+q01vgGhMFijpf4tuqtoTIMpXMu8J+5oJ4rS3IoTL0u3BI/qYP/gMop5Pk2qJq2Yrcvkxr4X+57nIkEaVKmdoSL17Wdeqc5SohgQ0xFN3/z3C5m9brF2IeWETKlixRO8hniBh4fcLJynYDrh64BIAMMwDMMwDMMwDMPIKkxEzWZcGTNNdlx2J4IcGYCUzdMgKDloTESpvf97JUevxh30GrElMvpQss/dvHe7rN6xwdPdvkX3oMIeJcTt6zRXwevP+eN891OOS04k7rgnRryZIW5U5stPs/7R2/2adU3x+zLdlO2Df+4o4HAb2KqnCq0IqDS3CWzqg+MVFyQCzv/OvlZmrF0oZzw3XO9zZdu8lmzWgS9e4xOgHIhow3sM1elALPIXyh3kqT5xwR0SHlZUBdBf5oxOlQsVMW3hRo+TNtKbM1quRBmNLMhupybrM/OG7826zDpBLiyiOi5UhGlXRh6Mqavmas4ry4rs2b8WTPTlouaUjFcHJw4Q7FkOOMMdTuTfHbVft2mEbtan2hU9zZ9cDAbb1tmt++jtf7xu28AGU64Z3dil02XyyjkqKCPG9mjcXoqHFVWhlugAJ9j6g0jP5zOduNs/Gv+j3s92zTbs35wOGlbJ2IZdNLIa1mmg3n7gu5fl3Fdvku9n/KV/n9Omj24r8zYsS/Q6tlGyl50b/6/549QdbxiGYRiGYRiGYRhZjYmo2QzuszLFS6nAgZAKlHcDYlhKQhivQUijGz1CS0pUKVNR6lWqqeImGZ9JwXuO95Zf02Amufce0r6/XuOgO3DE0/gGQen2M4fr7VU7Nsqc9YslPSBO0Z0c9x6ZjnQmD4WKXmcumZqBJfWIRzTUwSFHwyOXGQnki7pGONf3uVAOHImUR398XZcTIt74R7+Wla+Nlk9ueF5L8hGyB796Q6KYhPqVa/lckz/O+DuBwOZA1LqkyzkqNG7au03+Wjgh5PmyZucmbfh1MOaQvjdi3KBWPX25tdkF8+njCT/qfEEEJXahWfUG+thbo77Q68u6DU5yvUIM/t7bjZ6czCKFw3x5oOTy5kSClfRX9uai4jgl4xgQj2tVqOZzETvOatNLr8csmZpoXfUv6R+7dJp8P32kz8HaqEodFUd5Da7xYGI9Ar0TdVfv3KiOUMTca/tcmOB5PAaNIuqmaR5wUocIBqIuArm1/+Uy1Luv0DzjYiXk6WF3yZU9hup9c9cvDXqypUPdFro+F8iXX46dOK4ismEYhmEYhmEYhmFkNSaiZjOIpM5R6RpMIdg5cS0loYpmK9A4FaJH14aeBlMz1ixQsSoYS7eu0UgBOom7hlRJwWc3rOJpfPP3Qo9bEGgw5cqZX/jjQ0kP8zYslRXb12mmK93tQ226xOcTY8B8deK0P32bd1UhG2fpqMWTfY7XN/7+XF9DZ3FKm+keDlf3vEC+uuVVXWa4SBH0Rj/0uWas8rrL3rkn0ecMatVL3aVRRw/LX/PHJ5oGBCccx2e16a3i83fT/lQXcChOT8qyjx2PlX2HDqgo1qleqyTL47MKljdl+LhIEQxvPuNSLdcG7iOOgWm9+YzLknyPSSvmqPBI93bmy4zVC1RAJ/qAeZ0TKe5tLuXvlHTd5A9GR2mpPrBNuaxaRFTngG5Xp7lGPLAesW0G0tMrxi/bulb+9a6rbWo10yZqrI+4mfdE7ZelWxOX9O+K9MQGVC5VXj6b+LPeJtsXh6gDZzrznH0S4n9qYF38ZOJP8vAPr6r7+NW/P0m0HSCmU57/2Y0vyp1nXikj7n5XnabNqjfU9QS3bLCsZoRhpgch3TnEDcMwDMMwDMMwDCOrMRE1B4AAgnBBaS/l4aGW8iM44D5DJEQIDBVEKMpnEXUQSwPh82d6RRycbogfKTG0/Rk+F52LJUDAvLTLOXp74cbl6lBLCzgsnXByZqueqRYJXXm8a9blT7HCRWRw277q4KQ5E/MUByWCJ9mRCMGP/fymzitiC54admcCdzCxCM/99p4cOHJIhUGcl50fu0Du/eYFFQwBYfSSLmfr7VnrFiVwvMLOyD0+pyGuO8Ro3JouWzMpVu5Yr/Oaz2ReM1861W8l2QmC4NdTf/eV8F/f9yKf6xK+nvK7XuPmxVEcDIT9n2d7YhuGduiv69+UlXP0795NO2V7TEFqnKgImywbBHknZLLOsU7iHmX5ufWSEwMDW3oc1v8snJTo/YmeIEMZRyvziP1GlTIVdD73aNxBxVSEyw27tyZyPLvsVfJyXaMu8mj9Wb3Ts32yXJjuUGEfxDbDtsD3ZH1HkH1n9NdBI0PIOr28+xDf/o3nt6rliSpYsGl5ouez7dWpVN23HU9YNjOo09UwDMMwDMMwDMMwMhMTUXMACJquYzZCHtA5PjmxCLHClf+ntgkM+YId67XU27PXLUr0OIInQhAiR8uajUJ6T1x0lAoj3rjGT0BJP9NGl/o3vc2EUgvuVqYHF13vNDQUcrEI0cditNw4EDIX61SsruLx26O+UhcggujtA4bL8m1rZNzS6SpwvXXlYyr4OH6dM1pu+PgRLY1m9tNxHnC1jlkyTYa/e682VWJZ4cR02bG/zB7lK1tGDHNNr6qUrii39L9cxbhNe7fLPwsTZ2M6cGWu3bnJI8DmY5kWUFdfqA7dzOKP+eNk4aYVUiB/frmm1wUJHI1M84+z/tbbZMUmBXmf5HqWCS+pwjJi8vQ1nuZkiIU5FedE5Xv6O7ydo3zPIa+IGlZURXt/N6pjUGtPST9O02AietcGbSTm+NEE5f2lipXU7Q8xFdcm29pqb7YpMC0uJ9U1nuLkiHMHO9bv9rhAiftIDT/P+sfjOi5UWB2mjw69VQVP3Ldjlk4L6T2aV/e4i5dvW5foMbYn1usLOg7U9ZztdPSSKamaRsMwDMMwDMMwDMNILyai5hBcST9ZnAhs5KQmBxmHCIuIenSZTy0d63kci7hD/d1iuMpme/NLKfsPVZRDFBrQ0iPq/Ltokk8kxB1JSTyMWzY9aNOb5Nh+YLevtHlYp0G+BjOpAXEJQQ6IKAg27cM6DpSTp05pDizuwPM69FdR9JWRn+hzLuh4ZgLR6Zupv8sLf3ygrlG+H6XJU5/8wec4jTsVp2LPB+O+k/8b9aXOj3Pa9lWhCbfx3PVL9Hk4B3FvIqzhKEa4vrzbEH3sh5kjfRmzgbDcYk/Eytb9u7SBV+f6bdSpmJ2QsUvHd+A7NAlo/PXn/PFaqo7T0eXEBsJ8+mOep0HZOW0882vx5pXqRiRDs7k3VzUnwnrmXNv+blS3Le/xrvvO5elEVNdcym1zrANsJ2SEBtKgah1fXmpLb6Mp1m1OYJDNW7RwmBw8EiXrvDEfbh1DkKUcfppXjKaUPxBXSu+aXoUC0z7Huy7f0Odi3UaY/vM7nqn3Ldq0IkVHtf/+j8ZW/s9nW3Tf96IuZ0nxMI/b97vpnqZUhmEYhmEYhmEYhpFVmIiaQ3COvYPRh/SCYJQc63dv1mtKpdMiLJK9iOMM0cqJIE7EJWMT4adx1dQ1l+nXrIuKuhv3bvM1qAHcaRB97Kg2V0oNCGpMY+taTaRe5dQ55PzB2QtJiZI00omPP6WCzdETsep6W7x5lTbLQki+e9DVvudOWz1f/m/0V3r7xr4Xy4uX3OfLlnx4yC3qLOZznFBIg6ovJv+i4lL/5t19HdgRWV0ptytVdqXurA84Gr/1NrfyB7chy3/97i1Ssmi4imjt6jST7IQMVxyJQEl6m9pNEz1nxOx/9frSruckKc4v3LRcnZmUwJ/hFfpwpkJXbxOwnAwl9XAk9j8RtWw4jeNOyKGjh9UR7YTWat44gx0H9/hOOiDE9vc6TIOV9G/xZuWynW0/uFtvl/aeIGhTq4kULVREnc3rd3n2D7DLW8qfX/KrUMpn9Azi6GW7BVzZoTJywQSfm9t/+2xQuZaK+zjTV4cQ44ETH3HZxVP4u1CBaY4oU0n6NO2if7PPcrEhhmEYhmEYhmEYhpEVmIiaQ0AUwU0GNJZKTiyiJB3hBdIjLHao18JX0o+IQ9kvDZz0sbot1KGZ2nJmut27bFRH+7ot1JEaL/Hy5dRfVTwMhZXb12tOI6Xh6e3I7uIRaPqDCBkIwlNkzGG9XbJIuC6D72d43G5kprpcT7IlH/3xdZ1fdBq/tveFCaIUEKfvHHiVb77eOdAjvr4/7juNaujRuL0K5JQ6022ebEdez+sc/H2dt2v6pJWzE2WoEuMQFX1Ydh/ar/O8d9POaRLSMwqEss8n/6JOXtyRzpHsD87K6as9juLz2g9I8r1+nzvO55R0js0pK+fqNfMupxMsF5UTErEnTkhM7DEpmK+Ab31hmbONkXHq//yzWnlK+v/2c3Q7Ri32lLEjMi/Y6In+cNmibWo3kyKFi+i6i1Pd5Ybujtyr15v3bfOV8rvoAQcOYV7HtNUM0dm+btdmdUSzfboYAgffixMfMH9j4pzTQPjcJhH19PYKv5J+IjiA6eU5ZOwStcG+avpqj6vWMAzDMAzDMAzDMLICE1FzEBVKlvEJdYHiiT+4yXgcEQbXY1ppVbOJdsWm3JcSc0RLhBeEICdopJYzmnvcgzPXLPTljyJ+XNXzPN93cyXfycH3cy637o3ap7tUHSebm1fB3KgjZv2rpeM06OJ5OGD/8DazurDTIN/zXv/7M4mOjdGy8vvOuT5oFu3w7kP1Pdbu2iwVSpSWc9v10+/z+M9vqruU5lgwcsFEdb6WCS+VIGsVcKJ2qt9aX/ednxsVARrxiqZSZG3iGnRZrNkB0/fDjJEqCrOMiDMINk/+WTRJTsV7RNaaFSKSdLMu27ZGRbJBXiGRbvM4U7kPYT+n48rNnfgHOE/dLDkZfyrBOolLNbDpWc8mHTTeYfuBXbLEm2EKzGMnHCKirtvlKdl363WTavWkWFgRvY0ou36P5/H93vV92ba1et2vedckXahVSlfQxleh4PKUO9RtGXT7bOt1R5PD6kryk6NxNSeieqYTiHEAoi6gZY1GvmiO77wnOQzDMAzDMAzDMAwjKzARNYdADmDxIsW1cQo5m85pGky0oow7LQ1gAkE0bObNmMQl6VyoNKlJq7OxQZVaKkTS3GbW2oW++y/ufLbkk3wqpiC6pcSyrWtUPEPk7e8VZtOLK+kPzEXFJYkrFK7qeb6KgKMWT9VYBcrsuzfyuGtnrV0kE5bPVJfwQ0NuVhEsGAg+V/bwiMbvjvlG7jnrWs0BRSh7898vpGPdlvq+kdFRsnTr6iQF4su6DlbxcO6GpbJ6x0afgM580YzQ8JLqQs1O5m9cphEQuBGZd4h7wSAP1bl6k2K0173coV5LnzOX8n5oWLV2IvdkTnai4nb2d1wXKuARyQNPjjj3OScXHMzDvt6y9b8WeOYb/DpnjO4b6lasofN7+8Fd6vh0AjzrY4vqDfX1CK7rdm3S+3GYckJjV+Q+XbfJXU0qD9U5rlOC7+YE3qTE7ZrlI/QEAfsCt88KJReVEwRuPrlYBKIBgO/bzTv901f/18DOMAzDMAzDMAzDMDIbE1FzCDhA81NKWz5CxRDK2INBmS7lvwig1cp5GtOkB+cWm7pqroqJfHbzGp5O2WkBkaZ3k056mzxRB+X8nep7mlnhpnMd6YOBgOLKlnGhupzJ9FLW2+CHnEX/7um/zhmt4hTu0vPa95eKpcrJBq+Lb2iH/ioo0/zpjX8+8zlT/bvOB4NyfMQtshvX7twkT11wp96Pu5ZlS+wB5e/krjrhLZCIspV8uaq/zhml84XGOwiquFDb1W7m+07ZASXgI2aP0ttntuyhQnEwcJPiTIZzkohlwKHrsk/P9IsDWLhphV670vCcDuuKE5KJjnAnSDg5Aqxn/rCuuXnkz7ntPGLzN1P/0H0D698nE37U+67tPUxKFi2h7xvoqm5avYF+Ps3iEC4RT5m3uyP3qfCKczmYe93lkIaah7py+zoViommqJ3Ea9gXuCZVCP8pQYM89mu4aLd4m225SAJ/Af3KnufrNSc5NoQgzhqGYRiGYRiGYRhGRpB9QYpGAqK8ZauU5C7atFJLthEjA0uj/RtKZUSTnYZVakuxwkVVnKPsuE+zLr7GN2mlZ5OOWmq7fNtaddg5t91Fnc/SDu6Uw49ePEUu7To46OtXbF/nc6H2aeoRZDMCvhcCE6IS+ac4QBFznQv1ws5nqWCLYOcaOg30lt7PWLNAhabwsGJyQ9+LUvwsvjOvJRaAhkvPXnSPNlz6d/Fkee3vz+ShwTeqmIVLb/a6xUl2qx/S/gyZuGKWulHnbkCQ3azTj+O3o1eUzg4QdH+c+bdOC+Jpv2aJS8QdY5dO01J+4iNoIBSMqavm6XvhYm5evWEQETVxo6qcCqI43wUBECcmoiBl/gUKFJDjpzwRFw7XUMy/nB9Yd+pXrqmREJ9M/FHjNSi5J/+U7QhxfnfUXtnmFRsdzarVl6KFw2Tvof2y/cBu2XHA03wq6qgn77dVzcZBp3njnm2pcqIu8Oactq7dNGh8g4N1g+duDZjOpARoRFxiRXDG0qzNCdHOierLdA0rpi7VL6f+Jh2LeRyshmHkLDhO7N+/X3bu3KmXPXv2yKFDh+TIkSNy+PBh37X/7ejoaImLi9MTR1xWrPAcA5o0aaJOdHcpVqyYFC9eXEqUKOG79r/Ndfny5aVKlSp6qVSpkhQsaD95DcMwjKzl5MmTevzjOLhjxw7Zt29f0OOf/30xMTG+42BSx0LGFeHh4ckeB0uWLCkVKlTQ42DVqlWlXLlyqe55YhhGYuwXZQ7hkLepUeOIerJ861p1+eEMdU61wIZSGZWDiXDRqGodFehwubauFVxkSQ2IkwhhlHnjOj2vg6eREF3HcdtSCvzzrH+TFFEnLJup110atskwF6qDPEUVUaMP6XTSAR13YOOIur5yYkroT8XHqxh1OMYj4nw97Xe9Pq9D/5DLyod1HKQi6m/zxsoTF9whtw24QgXRxZtX6jUd7BdsWq63ezRqH/SgVq1sZc2cJH/y26l/quiK+xQhKb1id3qYu36JiuQF8xfwxA4kc0Ce4HUk92vuKVEPxrhl032Zuk6UoyTdOSSTEv9yIojjbLsHoqNUNGZbRrxnee2LO5CgpN9t3zyH7dvlkXKChBiImz99XN4f+50viuLybufqNoHDc8qqOb4sUwciaImixSVfvvwqQHJyBBBVgUzaQNgedkbuCdmJSiQHyx7apCBuO3fyloDmaElR209E5cQCrnH/TFRg/WhRs5Ge2Ji6ep50bG0iqmFkB1FRUbJ27VpZs2aNbNiwQQeHTjB1lxMnTuhgzgmZDOj8B3kM6vz/ZkCI2MngkOPKli1bZPr06TJs2DD9m8EkA1IGmIEDz4MHD+rz3d979+7VaWDAyn6jYsWKPlHVDShr1KghDRo00EvlypWTPSlkGIZhGP7wm55jDcdBLps2bUpwDOS4iIDKsats2bJ63EHUDBQ7a9WqlUAILVq0qB4LnWC6dOlSPc6eddZZvmMhJxw58RgoxPJ569ev19ucuHQCLsds3pNjnf9xkOvatWv7joVlyqSvD4lhnA6YiJoDYEfosv8o06bxDk7Udbs3JxBRM6qhVCCU0PK+xASUK54xO05yFxFRETqciIr416leK5mxdqG6Tfk+gaXAiC18b4TMXo2DuzPTAzmiCNGRMYdUPBrjzeE8t20/33MQcXR6w0vLnPWLpVzxUuqmQ9gi2zVUejXpoEItjbtopnVG867qIvxi8i/aVOp/Z1+nDb0QdBdtXqmiajAQbmesmS8z1y6QupVqquiNAzC7QPD7Zc5ovU2TrCplKib5XATzKd4y/T5J5LfimGR912Xu58jFke1OGLDccgvlSpRRcZPmUlwQAosUDlOBFHE+5vhRKVy4sD4XYbV0sZK6Pu6N2p+g6Rb5sTQyW7trk2bg4sy+ptcwn7gOlOwTTeEyjPlhhWuVMnfK3Xkty2B31H6Nlwgmom7et0O3f1yzocxnPtM1REsqwsHhphNBnHmR0kkRSvr9nbH/lfMnfN2AFt1130IzsuSa8BmGkT4QQZ1QGnjZvXu3uloYdNWpU0ciIiL0duDgDGE0PZ+P+DpgwAApVChhA8ZQOX78uE5roMjL37NmzdLvgvjKANYNIv0vjRo10kGtYRiGcXqCWLl69eqgx0LESXf8Qwzl2NeqVasEx0GEy7CwtJtf+vbtK//880+6joWcfAw8BnK9bt06GTt2rH4XBFeqOIIdC7mk5zsYRl7CRNQcACILQipiJo41RCNEJcSKLg3aZHhDKX8QYBD5aHwTXiRcO3qnlPcZCoilH477Xp2EiJaUacPgdv1UREXAnLhidiIRFbEREBQzQzgrVbSECk2xJ47Lv4smS3TsUe1ITjMtxzRvw5rq5atouf8H47/Xv2lw5S9qpwTC1nntB8hHE37Qkn5E1Iu7nC1fTflN58v+wwc085X8V753UiIqywMxdv2uLVoa3qNxhySbWmUFNIkiDxOXZd8UGlvRsIz1my70LWs2Cvocl4VKjALl6rk1D9XBskFgpIHZ9oO7vXnH+aVCiTJCq6fDx2KktF+WLesUIirRF/4iKqL9R9c/p5m9CNWd67fSnFxAjCSG40TcCRX9/XOMcVQTocB7btq7XQrk87iEOfnCup5UUymXX5oSCLNApERKri32Z0QWEFdAzimO7+RwTtiNez0njP4r50940mhYp0HyxIi35PjJE7L6wGY5K6QpNwwjJbFx+fLlMn/+fN9lyZIl6gr1H0T16NFDr+vXr68iak6Hk1bVq1fXS3KDS5w7/gPjcePG6TWRBHzftm3b+i6tW7dWV61hGIaRt8DBuWjRogTHwlWrVkmpUqWkYcOGejxo3LixDB48WG/Xq1dPT8LldIjBqVu3rl6SIjIyMsGJU34DjBgxQm/HxsZK8+bNpU2bNr5jYYsWLUxYNU5LTETNAeDsA+cupfs24sSuyL0qwFDKmtENpRxrdm5UQbNG+Srqilu6ZXWGiKhMc4saDdVhiYvygo4D9f5BrXrJQ9+/qk42clGv6XWB7zU4Mp1wllRGaHpBQC1VtLg25PlrwQS975w2fX3l6JRhu1JlyuhpCjVv41KdNzSZSi3ndzxTRdSxS6frfEYM7dKgtZa4j148VV6+7EEZt3S6OlKDOXOBBkKIUSfjT2m2JQ2wsgscjvM2LNX1c1jHgSnm6kxcPtO3PINl+CKUOadqz8YdEjyGWxmaZeP3TSsIh4iorE9ANAQOVTjszT92IG6yHQZrtobo+MjQWxKd+Dh2PFZdnmQH4/j2F1GZX6yvuyL3aWZqWKEwFXFb1mgcVPRMbVMpphUaVKkd0vPZXyGibg1BRMXZSkQEJzd4DScNgjlRcbUjzBOZMHu7J5/VMIzQYd9Lxhql8m6QSLkgJYRugHTPPffoNQOuvJ6hxuCSwSGXQHCxunk0ZcoUeeONN2Tbtm0qIruBZMeOHaVDhw42mDQMw8hFUO0wb948rUpYsGCBTzClAsLt3y+44AK9xlWa1yNfSpcuLe3bt9dL4G+GjRs3+o6Fv/zyizz88MMaIdCsWTPfvOrSpYseR/P6bwbDMBE1B0CpLjgXHi4znJta5rx7szrxMrqhlMOJlj0bd9TS9cVbVsnQ9v0z5CBBST8i6vTVC3wiKq47nHLLtq1RwXbnwT2+cnByP2lAhBM3pTLh9FA6vJTM37hcPxthq2eT/8Q7Mlxdg68GlWupYIhgRcxByxrBnZTJgZAcUaaSOhKnrZ6vYmKPxh1VRJ230ePSbFunmTaXojw5mIhKaXNM7DEpTOf3QmE6T9vXbSFZDQdQV8bfsV6rJJtE+UPeK/ROwrFKZidiGSKx/3fCme3EuoZV6khug+xdyuc5WYCA2qRafVm+ZW2CEnWHyzul5D0UnLBYq0KErldLtqyWywJK4ksVK6kCqyvjL5A/v+aIBmOTN1c12LoXCOIm75saR3yNclVT1VyK9QphF8HexZz4Z6I6WtZqLBOXz5K1Bz0isGEYKYumkyZN0svkyZPVbYP4165dO7n33nv1mrJ8G/wkhMH0oEGD9OIvrLoBN0L0K6+8otlzDCB79eolvXv31kGoiaqGYRg5SzRlvz1x4kQ9FrL/LlKkiHTu3FlFwAsvvNAnmBr/gS7A7wMuZJS73xVkwDph9ddff5X7779f4wZ69uypx0IuJqoaeRETUbMZT8mqc1v9JxQgUCCiIp7i+MrohlKu2Qzviyg7qHUvbXiEGxSxIxSBLCU61mspH4z7Tl2W/mIpDYYQUSkJp6T/0q7nqGhGmT+4CIPMAicqZeY0lOreqJ0KeA6a9UCPRh2kWrkqumwQdmuUq5ImYZnXnNGim+agkr/aqmYjqYSQXL2+Rjb8vWCizg9EVMTRoR0G+JoLOSatmKVu1IZV60jcyZPqas0OERXBHQENl+M5bXqn+Hzcvgh8Lh82GE607lS/lbqsHXwOzl0EQMTC3AbLnfzaA0cidVvie5TwuildsyQHjko3v0LBCYusD9PXLJClW1frfsStn/xQwa2MQM02hnuZZUZWaiC4WskVDdWJirDJZ+G0DTVuw50QCUVEdSeKEFFX7tjg+17FwxJnqeJqR0Q9cDRK15W0ZkQZRl6EbWflypU+0ZQLomnXrl11UHPXXXepyOfymY3UC6sDBw7Ui5vfuJfcvH7nnXfUoeNEVS44VW1+G4ZhZB00X8Jp6vbN06ZNU9EUke/ss8+WV199VZo2bWoiXxrg9zkNqbjg1nUiNScYmdejRo2SRx99VI97xAC5E4w4V21+G7kdW4OzGUr0EcgKFiiQQDyrW9nj8tqyb6c68jKjodSyrWt9wizOuUbeUlvKgzMCRGEceDBn/RLf/T29pfrHThz3lXsj+CDgkvMYrPlNRkKjnZU71uk87dqgbYLHcKgCJfeU3iP+8jycwc6xl1poggNjl0yXfYc9JdsDW/XS678WjFenHlmVuBYXbFiW4LWUfs/dsFRvX979XJF8iJnLfREQWQUiNxmy0LtJpwSCf1LM2+BZ5vUr15QKJRPn5jFfZ61brLc712+d4LE1Ozf51k3XNCm3Qcl5vco1VUCFEt5tN1BEdWIkQmDM8WMpvq9zsjaqWldPgBAZQJ6qP4j0lMWzf+F9KecnwzQQTtRwMsFll4aah1o/yHslReXS5fWajFZE25Rw2axrvU5k9ovBfmxx4geIuZi/MeF2YxinI+SVjRkzRm677TZtboGz9LfffpOWLVvqNVlnNI945JFHVEw1QS9jB5Nk5N18883y448/yq5du9SZc/7552tMAtd0ZL7ooovkm2++kQMHPFEvhmEYRsZCoyf2w5dddplUrFhRO9rPnTtXr2fOnKnNkyhHv/32280lmcFgaKDC5YEHHpB///1Xj3U0xOrUqZOKqvz2qFatmtx4440ycuRIOXr0aHZPsmGkCdtrZDNOUEGU8nc6liteWsoUL6UC6+y1izK8oRTvG5g56crVKbPPKDp4HZNz/URUmjh5OpWfknk0HjoaraXs+vx6LTK9adKUVXMln+RTYZR57F+qTAYqtKjRSAUjppEmQUULF9WS5LSAszY8rJjsitorC7xiz8CWPTTnkaxbBCAnIs70unEdlP1rnECJMnJW694qKp48dcrn4MwqEMEpuw8PK5og/iA5ZnnXW0r/g0FUBU5NXJLMb39W79yQa0v5k6KEV3hG2PQXExFZ3cmRgyG4UXk9lCtR2ieMBp74IDID8TnmeKyK1QiT/o7rwDxUIgBCcVqv3eWJFUlNbjLrPt+R6TgYfSjF5ztHrDtp4eZbIOwjme7K4eV0GzWM05F9+/bJV199peV1dNS99tprdVv78MMPdfCSZ0TTI3tElv8psvRXkZ1LRI4nPBmVG0RVyke57/XXX9eBPU6o1157TRt2GIZhGGmHvM7/+7//k379+umx8Nlnn9WTiQh5e/fuNdE0h4iqNGr8+uuvNX/9jjvu0OaUQ4YMkU8//VRjcgwjt2B7kRwkogZSv1JNfZxy+IxuKIV4ghiDwIEQ4XJAyU7cFbVP9kTtz5DPoTkTrNyx3ueeRCSlKz0wDbhRl29bF9SRmBnQyAiBqU3tpgma/KzYtlZFUxx5lUtXkFlrF6rTD1dfdGy0zrNQS679Ydm5RlkIi7wnLlfnUB25YKIKyzgHKWPfsm+Hz/3pmi71aNReX+eaL01aOVuyCgS/UYun6O1+zbsGFeOC4dzHHep51oFA3MkBloNzazpW7/CKqFVDa16UG2A9YBkHc6M6MT+UXNSY4x4RFdd28+qehlIuNsFfiCxSqLCeLEF0x7UaDJ+IGkIpf+yJ47Izck+qmlA5McFFFgRrnhVItbJVfM9l+osHyUN1jH7wC3mqxw0qGhvG6cKWLVu0BLF79+5SuXJlHTgyMJw6dao+9u6778qZZ56pJYu5lgMbRRZ8KwX+uEP6LrlPCr3WWOT7y0V+vErk3W4iT1cRebmRyKdnifx5t8h2z4nYnAr7QRp2Pfnkk1rqyID/4osvlvHjx+uya9Sokdx3333qlkIENwzDMJKG/eTixYv1JCH70IYNG8pff/0lgwcP1hNTVAA899xzKuCZaJpz4GRu37595c0335T169fLnDlzdBl98sknEhERoY7V559/XjZs8IwDDSOnYnuVbMaV5gZzW1HSjzONct3q5apmaEOp5d5SfoRTd3BBHHMOMxpMZQREECC4cLCjSZPDiYpkNv4xf5yvoRTiZWZCLiPCEaJd02oNJCrmiG/A4oQoGvAgYOIKRVRuHFFPBStIqxu1b7Muek1+ZalixXVA5cqRJ6/yiLqu8Y9zoy7YtFz2HT4ohQsV9r2+W8N2WppNniql2FkBLmHEvVJFS+jnhwIl5GTsQkevkJ64lN8jonYK4lRdnYubSiVH0YKeJiOHAppLOSdlSCKq14nK9trSu84EOlHZV0SUqazbFSIqTdKCsdErooYiim7Zv0OXG/EDrgleqOCkBpzHKUETKfaH5P+yHiXlRAWadhnG6cDBgwfl448/1kyxunXryrhx4+Tyyy+XzZs3a97b448/Lq1atcr9nYMPbBL5cqjI6y1Ffr1Z8i/6VorH7pJ4smwqNxOp3kGkmDd65NAOkY1TReZ8KvJ+L5EfrhLZnzsGXtWrV1eXKmWOOHNeeOEFLTHFRYWg+vTTT+sA0zAMw/gPThS++OKLKpySOc0Jqccee0zdplRe4G4ko9PI+fB7hXzUhx56SGMWtm/fLjfccIPMmjVLj4Ms3/fee08rbgwjp2EiajbgRDscfogESXWfLlWkuMTGHdcMz4wUCyhbX79ni94OdHC1yIySfq8T0b+kv1sjjxjH95uzbonOk8xuKAXTvGXwuB8RM3G6RXsb9TghCncf5eSUHuMQrlm+qpQvWUaXw3JvQ6zU0q2hJ3uViIBCBTyuy2bVGqjrFVFs9rpFPhcu5f2U8JOhCm1rNfWtHwhYrWp5MmOnr8n8kn7ch2OWTNPb/Vt2T+QYTa4JFfOrcqkKQZuU0VWepmY4M9vUaZbgMU4aILYhFpMpmhdF1Oh0NJc6etyz/hULK+LbXsmQDcxTrViyrG5X8fGnfCKmP6z763d79gOhzOfNez0O6ZrlI9KUDxuqiApVy1RSATgm9pi65Q3jdM04pdsteZpVqlRRp8Z5550n27Zt02wxMsVwbuQJiDiZ9rbI251E1o4XyV9QBdOTXW6XWfX/J3H3rxO5bYbIjeNEHt4o8vAmkRvHi5z/oUjLixiNiSz7VeStdiIj7xU5sldyC8WLF5ehQ4fKl19+qWX/lKHiVm3SpIkOInEWIxAYhmGczicRiUCpV6+eTJkyRYU3yr+/++47ufDCC6VUKYt1ygsNG6+55hr5888/ZefOnTJ8+HBdvlWrVpVzzjlHfvjhB4mJ8YzZDSO7MRE1C6FxEB3YF+9Zq05HOr8DAmmwHND1e7dK+RJlNTszsHFMeli1fb1+Ps2McIr607xGQz0zRIQAjZ4ygna1m/ncrQhrLt+VTEM4fOyInIiLS5SLmdEgKE31lsdTFu9yKJ0r0ImoZMPS9dx1ja9UqryUK15GXaksQ8r+U0u1spWlUqly6gpc423OgwO4T7POenvc0hnqAqbMH+Fy1OLJsnHvVm04RiMnf5zYPHNNwvzUzGDmuoVaes6y6pREWX4w5ngbRpFxG8wZ5Ry9Tas3SNBQDWikBojXoUYH5BYKewV0J4SmVmRku3UiPvMG5zbbMYLoks0J3agFCxaUeO+/YOL35r3b9SRGsbCiun6mBPsEqFUhLSKqZ1sPNQ6DvGIVUY8f1RgEwzhd4DhF92DcGJTq33///erUWLJkicyePVtdNgw08hQ7Fot82Fdk1CMiJ2JEancXuWO2CqanznhSdpduJVLUsw/xUaysSPX2Iq0vERn2scgt00Tq9xM5FScy6yORN1qJzHiXGSq5CXLiyLf9/fffZceOHXLllVfqwBGxnE7S5KsirhuGYeRl6PJOQ0ROHHIs5CQiHeA5iYiDn6ZRnIAy8iZkpd500036e2j16tVa5v/UU0/p75+rrrpKo3AYExlGdmEiahaCCEfeZcyJY5p96XIRw8MSu1ARRSi1xamIALFh95YMycniPSgpdwJWIAiLtbxOs2VpEAuDQd4i5cqIgyu82acIax29ohzCYlihQiG7HNMKjYzIew0rWFja123hy6ElUgFHsOsIT1n9TK+IimCJK47pReCEBZtWpHpZsKyJD4B5fo5cV6ZPsysE5k5eN+qIOaN1fuH6q1O5RqJmXaxLiFq4OTMLlstkr+h8RotuGjkQKinloeJUhda1miR6zDUUqlMp4ffOC4R513Hnfg4s56eDfXLrlnOuI8CzHkPr2k0TRU0g9nOShgZq+fMV8DXq8set74j3oZQAI7pCjXKJncWhi6ihOlEryqlT8equJdvVME4Hpw3Zpk2bNtVMN3LDaMKwdu1aHTg0aJD4eJ3rYQA09mmRD3qJ7FgoUqS0yJB3RK4ZKVI+lTnHVZqLXPmryNV/iVRtLRJ7WOSfh0TGPJnrhFT/QSRuY7JuyfjDlUpsA52NyU9l3TAMw8hLEFHz6KOPSo0aNeR///uftGjRQpYtW6YnEWkMRVM+4/SCeAayb1esWCGTJ0/WY+Mll1yiObivvPKKVWoY2YKJqFkIOYXkfjpB74hXRA1Wyq8uMRXRqqrAQml5KE1ZUoIO65RLMy2NqgbPm3Ti6vKtGdMxFoHGiWWuOz208TpUcZwFNtrJDFwjo7Z1mmlHeJe1yHJYuX2dCteUPZcsEi7LvJmxlNhHlPW4fooULqJCIjm1zpUXKpExh6W5d766SAFoUb2hirOIarg3EUgRyhDNT5yKUxE30KWM+OsaCjmxNzPYGLldm4GRhdq+TvNUvdYJ9a1rJhZJPWL62iRF1M3exlqs+3mNwgU8giBl6oEnL9gmyQE95NfsLBBXsl+0UBGf8NmmlldE3fSfiMp77Ircq2J7oQIFgsZzrNnlcfw2qJJydhSu9KijhzVioXo5T+On1JCauAKoWtaV8x/1icWGkReZP3++XH311eo0xGVIiSK5YO+88446L3J9xmlSIGz+84DI5FdFTp0UaXaeyJ1zRdoN95Tmp5W6PUVumihy5nOev6e+IfLPg7lWSHXQZfrhhx+WVatWyc8//yxbt25VhzIZqri14uI8VT6GYRi5DRyFuEvPOussqV+/vixfvly++OILWbdunTbj4z7DcA0aX3vtNXUk0ziMk81kjF966aUyY8YMa8xoZBkmomYxdSrW0J0ADYO27/c0BgpsnMLBhG720Ciirk9MWr97c7o/f5lXGCUDMalS6WbenFTKqhG8MgKES5f36SDfE7TEfecmzYjNLBI0MvK6PYlJAMqjF25a6RM1ceAi4ESUqaTl0ghcCN0F8uXX0ml/J2WoHD56RJp5RVQERheVgKOwl7dcf9rqedqwp2D+gnIi7oQUkPxJClydXUm/twlVRqOO5b2edbBX046pcqESPYFQj+DWuFq9RI+TK4vrliiJYGXkTqBOS/ZmTqewdz5Spu4P64HbHpKL0XBOVP9tl3xfd9LDPX4o5rAnc7ZAQRXhXfZpsNiEhiGIqJu8y4TtIS3l9S66AyHWRXokR9XSlPPH6/cplMkOdcPIao4fPy7ffvutdO7cWTPeihQpoi6b6dOnyxVXXKEl3XmeCS+IzPrQc/u890Uu/kKkRAbFFNAss9vtIoPf8Pw9832Rv+7xOF9zOfx+pLkYJf40WKHL8Z133qnNxmi2Yg04DMPILURGRsobb7yhlRbXXnuttG/fXruyc2JowIABvsbHhhEI1Tpk4U6YMEEWLVqkDuWBAwdK27Zt5fPPP5ejRxOOswwjo7G9UxZD/mn5oqU1A3Tj3m16gAgPSzhg4n5KzHFLInbW9TZ9oSN7ekCkXLHdU07vXJHBQChB9Ig7dTJoGXBaIO8UVxzCzk5vCTqOThoLOefcyu2Z14mW+ARfIyOv6ITARB4kONG6QdXasmizRyD1z2ilpB/KhnvEIESpUDNjEcVx2lLSTBd0BEoaSTm6egXRGWsWyJ6o/Z7XxMfLiVMndVkEgygEBlMb9mz1vSYjWbp1jUTFHlGxzjW8CpUlXtcj625g3ql/2Tku1GAuK18DozRkb+Z0inidqJTbB540KOXL6A3BierXaA4hmtgPtlfnON1yYKccjI7S+ABESBzoh2L+e18+w0VBNKhSK8XpJoYkPe5gtjPnKGW7TwnWexpiMY9w5xpGXhkwPv/881qmSIn+xRdfrK7T999/XzsN53U4FjKwOTbxDZGJL+p9UT0el60VemiHZcrTcVriQuJCCSfCMqxcudJ3P7cpb2ewjZBIdiid7Q8cOCCHDh3SxhPqzOxwrcjQ9zzO1jmfivx+u8f1mkcgGw7nMvPhzTfflDFjxmip/3XXXWel/oZh5OiSfUrzqcD45ZdftJke9+E6ZR9mGKmhUaNGegzk9xR58jhVcacSf2MnFo3MwkTUbKBK8XJyLC5WdkXtVZHA/0wbJeXLvaXOjSPqqYusnjcCANEDcTWtrN+9Vbu+48BMzuWHsOVck66sPb0gFDeuWs/n4kSAXL9ni69rOI5Xf5dqRuNES/JO/YU911xqvVegpuGVa9DTqlZj3/OqeUv6o4/HqLiHELp4s8e9mhJHYmN08Miy7FivVaL8SrrT89jOyL0ycuEEFc894m68il/BYLobV62rtzNjvk1YMdMn8Ka2udMybyl/ixqeyIFAaK6WVCl/9LEY2X/kYJ4t56dk38UzOEHU4WI9khNRndPUif++8hbviQG3LizY4LmuWaGaPpf9zDzvfbDWm4caUbayLxs4OXYc9Ljmq6WhlN9No2ueFUosCW5XtgM4fPRwmj7TMHIKdBB+8MEHpWbNmjJq1Cj57LPPVCzEQZhXOgojWkZFRamgiaiH0Llw4UKZOXOmTJw4UUvu/vrrL1n53WNSZPwT+pr1tS6RhYXb6eCZrvSIzIisvNfJkycTlOVxm/t4jMZKiKXkoFHWjmC4dOlSmTt3ruaHjh07Vv7++2+9jI+sImua3yvx/Nxd8LUc+mq4bNu6VQVX3icvlP7RRHDo0KHqyJk3b57OI0r9L7roIl0GhmEYOQEyLWmWR5Yl+2/21zQO4oQizkLDSA80GqMZFb8HiEeaNWuW/u66++67tfzfMDKS0Gt0jQyjeOFiUrh4Ydl7+IA2j+raoK1PSEWYIwcQ4aOet6EQIge5nNsP7Ja1uzb5BJPUQhk1NK1WP8USCZog0VSI7EoGGRmRy9ayZiNZtm2NLNmySooUDtP3rV+5ppZ/48ybv3G5XNXzfMkMZnu7xTsR00GUwi7Z62tmROfxj8b/4J3e/0TUcsXLqLCD2EskA5m1S7auli4N2ybKLA3EiWIlihaXtrWbyvcz/tLv6kDUZZlSmj9pxWwpVrioNvuBeRuWJtk5vV2d5uos5jkDW/WUjILvhvOQ+ILuDdun+vXODemEeH8o8+dkgEeoTyyybtnvcTzi2g1F3MuNIEpHHz+q27kT8d36AcmdKAlWzg+d6reSUYunyN8LJ8n1fS7yuYFxnBOPsHrHBpm1bqH0adYpgZAdigsVdhzwuFYjyqQ90J9lyomCUJtLsQ/ETXsgRMe3YeQ0Nm3apE0PEE0puybzrWvXrpJb4WQgLs8jR47oJTo62nf72LFjKuaFh4drPAEXYglKly7t+7vY5glSeP6nnjfrepvUPfM5qZvCbws6NDPfmjRpIoUKhRbtwW8LIhOYJoTSY8fqy87S5aTK1Eek5Lq/ZEeR+rK8TGd9nPdk4MV0c+1/m++Tk0BExqn1zTffqOhctWpV7VJMExb3Gw3xlCxBnM6vvvqqrm9ERpCn2r179+z+CoZhnIbMmTNHXnjhBT2ZRmQNIpflnBqZBcdDfnNx4cQiUTf16tWTyy67TB544IG82ajTyHJy1i/E04jq5SqrEzM27oTM3bBEWtVsomX8rmN229rN1LXmIBsTEZUcw7SIqDRP4v39G0clBwIuTjDK0BFhalVIf3kFouS30//UUnH3g79bw/baaOn4yRMqIOOYS03+ZijgfKP8ns+kcZM/xYuGa/4oQq4S78lIRVyt7fedEZ0pMUZgLFyooGaX0nRp1fb10jwJx6V/HirwGpcNixsX17FbxjSQQkCllL193eb6WQi7Czcul3Pb9gsqYvNeX039TUVLxLXUOkaTgmxWqFW6atCmZynB8gXX/Mof57KmwVpgjAVs8naAz4suVH9x0Imo/jhB9dCxlJ2ogcu6X7Ou8n+jvtL1+J9Fk2XVDk8MR9s6zaVMeEkVUWlCpm6uUydl6qq5+niX+p4oieTAHUyWKSQVL5GaXNRQm0sV9TpRQ32+YeQUKDnnRzsNgM477zzNO6XDcG4TTHF74i7FIcqFv8FfcKT00t3GSZTkCdfdK0V+v8lTTt/mck/jp0xqmsU0hIWF6cVHjVtECkeLjHtGGq37VBrddp2cCK+kQrC/GIw4yd+It3wnRGAuOIa5hCrkZgYvvfSSRj98+eWX0rRpUx0c0pSM6brjjjsSPBf3zdtvvy2PPfaYvPXWW3LOOeeowEr5/6BBg/JuwzLDMHIE/N7EHY94iiPwxhtvlPXr12sJv2FkFe3atZMRI0Zo9c/LL7+sv8U4HnIspEmVYaQVK+fPBjTv8mScug0RKjfu2Sa/zR0ji7zNiiiDdh3hHa7BENmeiBqpZcW2dToo4n2dmJEciHuNI+omaEaVXsgDJUoA8ZH8UxoPDW7bRx9DPKVDvRN/MpL53jJmSvURMgOFGhzBLJPiYcVky/6dPsE30K3rmkqRQdrK61KlfDq5ckAec07UkkXDdTmGhxXT7+oEc2hRo7Hm5O6M3CM1ylbRdYDnRcYclnVJNBTDoVqpVHnNwsTdmxEgtruogUblPFm8qQHn4FbvPAzmRKWpVlICa15vKuVwcRKJyvm9zttkM1FjveX8ASIqLukLOw3S28/99p7GZeCQ7lC3pfRo3EG3Z6IhELEp6+czyoSXShBZkRTbvaX87DfSI9SX8Zbzs46EgmsoFRVjTlQjd7B69WoZNmyY/mhHaERM/e6773K8gMpxCuGQsvrFixfL5MmTtRSePFJK4AoUKKCNi2hodPbZZ0ufPn2kQ4cO6g5FrCtXrpwKlkkKczR0Io80Llakfj+Rc/8v0wTUZOl+t0i1diLHokR+u1UKFSyoAimDespLaUiBa5PmFDQ1QahESCVTbf78+eqIHTdunIqXdI0+ePCg/q7KKug8fO6552oH61q1askFF1wg/fv3V5dXUtBsgw7GLFsGjjRvYeCIIywvRBkYhpHzmDRpknTp0kUb/+CAZ/9DTqUJqEZ25qZSFUSeOush6yW/Z5YsWZLdk2bkUkxEzQZi447rj1fcqANadPflG1LijvDUpFriEgdcaoh4vG5tEqJaUvAaOs67Mv1QcUJXRomoiJK8J87MA9FRKtLWqVRDhUBARHQuxoxkgTcn0rlA/WHQt++wN4OzQoRPjAyW5+mmE2ccZdCFCxbS8nQXBRAM3IY0xkHEQhTl2glXbrpgd9ReCS9SVJfV4dgYqVE+Qlp5M0OdCBxs2t13mrt+qWQEM9cuUlG2etkq2gAttSz3ZugiggYK1ny35Er9EzSVystO1MKe7T0pJyrbR1KDW1zSnvdILGae32GAnpQ5FX9K8ufPJ/2ad5VKpcrqusS6S2TGv4smy/hlM/T5vZp0TOB2TwrXCK5qOkr5wTmPY46n3DGT7++mjZMuhpGTcc0MWrVqJeXLl1eB7YMPPlDhMaeLpoiDNCQaP368Nmlygmnv3r3VsUg5OA5GHKclSpRIm4Nx7mciW+eIFC4uMuRtkQyuNgkZPvf8D0UKFRVZP1FkzidBn8Z3JH6gcuXKKq527NhRRVUuNABjPiCskveKGInLKitEVUQJlhODQEDwJk8Q0TclcKtSxkgDr+HDh2tJLcuYaTcMw8gI6JLO/oiTPZy04RjzxBNP6Ik2w8gJ0NiTJlTELVHWz/Gd4yHHRsNIDSaiZgM0lQJKpSuWKidnte4lZ7fprWXbSYlL/m5UXKWpYVfkXtl/+KA60xpW9bxHKDSKqKtuUXIMndCYEbmoh4/FaIfudl4B0AmWiDzLM1hExfG72CuMtqudWEQF190ely5lzxBsOeDCc81xcIi2qNFIb8/dsDTZplJuWbvBJ1EN/k2AomOPqriI0FUgf351Y9LIivxUl18Z2MndPxfVxQOk11XC4G/66vl6u2vDtmkaLLty/WbVE58IwAnJesR3dC7nJJ2oFfLu2eqiYUk4Ub3rCKJ74GNOQKUUX98jiIhaOryk3Nj3YqlRrooMbNlTapSvqoJtxZJlpWqZSvpalq9b7/o07RzS9G73iagJ3fFpFY9Z30PZbnHXQqQ5UY0cCqIZwhTZbpS942ig3Donum3I/3SiKY2XnGharFgxdSYimOLMcIIpDswMKfk+tENkzJOe2/2fECmVzfOmQn2R/t7pGfWYyP71Ib8UYbVSpUoqrHbq1EnFAkTmChUqyP79+xOJqsQfZKTbk+ZkNGDBUUOsQOvWreWuu+7SnLdQIaeWJhuU1bK8+/Xrp5ETNAIzDMNIC+xPLr30Uj3Rg4Of5oLkMHMcMYycCMft119/Xcv8OXlMZQ2xOHv2eMY8hpESJqJmA0fjjuu1a5yD44rbKQ1YmlSrp8/ZfmBXyCWx4Nyd9at44gNS4xyjBB8yStwsXaykxJ08oVmr9Sp5mto4MZJcVOeYzSgQ9WgGRelybe93CQSR2DWPcqXLTrAOpEppjxuP5khk0+KuJSfVl6kagGsSRFSAo00tjzi6YOMKnyMV0QjxC9Ga92Z9IO6hdLESmoNJ/EEwGletq+I46wNRD+mdV7wPYpeLK0gtND5Lav4t3eJdD70xFsFE3K3exlK4J/N8OX+AmOhxKxdNkKMbLA+VeZdUY7jLuw+R9659WrNLixYqos9DcCX6oULJcrqNuQZrgZEhSbHDu01UDfH5KTpRQxBRj8cdl7CCXhE1+pBPPDaMnADNlcinrFOnjnY/p8MwnWBzUqMMjZI5dEhdi1OmTFG3KSIqoinimxNNGzdurIOJTGuiNPJ+kdhDnjL6DtdJjqDjjSK1e4iciBH5xZvTmgb4PUYcAM5d3Cz+oipOVeY75f80UaETdXpdqj/99JN8++23GhGxYMECzUaleRTXqQVn6jPPPKNiLw2qENKvu+462bp1a7qm0TCM04fdu3fLbbfdpiffOMmEIMU+yZynRm6BSCKaMc6dO1d/I3E8p4Hj4cNWBWckj4mo2elETWX3cYQ1usfD8hDdqAiIq3Z4BLhmqSjldzhHZkaJm5v2bZcihYqooEJjLedOdU7U1ArEKeFK4RE8kxKpXUd493jlUuUTlaI7XGMdRFPKrxtVraN/z1yzMFknKg2sHK4x2OqdG9QF66ZRhct8iLp71HXI9LR2gusmT05pILj1GkfU09s05sqIhlJ0eieqIC2s27XZJ5QGsmK7c6k2TLIB2LETx1VITk8X+FxTzh+krN3XXCqoiOrZbxQtnPyJEJeZTDyEA8c72/JjQ2+Vb297XR4YfENI08qgHyc7pHeZuNiSUJyorAesg/nzF6DXmzWXMnIEbA+ff/65iqU0jeKCOEmWZk6ZPsQ6RDvEO0Q83LIMEsjO7NGjR+aLpv6sGCmy4k+R/AVFhvyfSAjxIVkCJ6HOe08krITIltkicz7NkLf1F1Vxqp555pla/n/y5El1AONSJU+VnFkaV6WW++67z+dG5X0pQcRVSuOWtEJkwTvvvKPrDBEPuGxxV9sA0jCM5E4kIjSxr2N/xv6NvElKpQ0jN8KJgD/++ENGjRqllTqs2++++67ExQWvBDUME1GzGITCE6c8GyRNllJLU29e6opta0MqE6ORD0Jq2eKltbw3tbiy7PW7N/uccGkFNxnNsyg7RkB27lbnRKVknTxHl6uZEThh0QmXwaCxl+fzT+g8begVRoNBcx3EHeYpol+n+q114IQDM9CNyvd1rjt/JyqCVsWS5fSzfp0zWl2olPKXLV5GShQpniCHtrV3uvmbzwyGc40u3pz25lKIuTT14rtQyp9W1nidqEFFVK/wj6M6GE6sK1+ijBTMrsy8LKCYt5yfsv3AZVrCl4vqcTD7E+vNQw1LwU3uogCc89Otc7DvcGSqmkMRv8D6yTqPUzs9kAkM7EdScmQxX1gXw72C877DB9L12YaRXnD+4TJk4PjGG29oMx9KobMbjiO4Hsmi48c/g1lEO0Q2nJE4JBFRcQllKccOiYy813O7250ilYPH6WQbZWqInPG45/aUNzxNrzIYhGpESrJyyVOl1JWGY2vXrvWV/SNAhDpIQ7gIrEKgDDEjcljr1asn33//vTYTmz17toqp/G3NpwzDcLA/QGii9Jl9GCcRf//9d/3bSN985bgdGxurJ7OIBzpw4ICeFOVCiTkRCeDu48JzqDjh2HD8+PEsbXSYV+F3HiegOSnw1ltvSfv27bWpo2EEkneVihwKXdkBISMtQlG9yrXUfUizFfIja1WoluRz2Zm6TutkZ6Yl34wSYAQ+BEJKypMTI1MCkQ4XGg1qDsUc8blbcXciKpKZSXOpZdvWSLdG7SS9IHJS4s73bp5E1iyuV+d8PXw0xiOiVklaRGUAw/ygAz0Nd5rXaKj5ngiEM9YskKHt+/uey3fl/VheLt/RXwzfs2K/vob3aFS1rmzYs0XqVaqhQiTLjWVGiT+iImLW8m1rpE2QXFd18k7FLbxGhei0rFfOhdokop5+XlpcMszvA0ci9TYNw/xh+lm+LIukohJcrEKVPOxCdWX7rA8IhTiO/deN5JyouDMhpUgOt49xoiVUKukRUVkGqcEtE9b5pCIEUiseOyE1PJmTSJTzg3tORmUyG0Zqwcn56KOPqgP1nnvu0Zw3SuKzGwZOlF7T1IrBFzmsuB/LlCmTMVmm6WXC85481LK1RXrfLzmStleKTH5d5NB2kYXfi7S/KtM+imXCsuGCG5iBMgLq6tWrVQCnpJ4sWhqTJbWvpVHLc889p24vcgeJkiDT7Zprrsmw6STqYeLEifLDDz/I//73P/nwww/VjcPnGYZx+kL0B5mRnEAkzubqq69O9+/CvAxjcLLI3QWBNPBvhE9OonFxJ6w4VnACjhNkXNx9R454xgUrVnii4Hg+n+Fe73Cv51K4cGHNwQ4LC9MTqe7i/3eO+L2QCjgevfLKK7Jr1y5p2bKlvP3229KhQ4egz/3444/lq6++kmXLvA2m27aV559/PsHzr7rqqkSROJz05KT0GWecocdYKnkuuOACXe/JRTcMMBE1i3EOs9SW8jvIv0SAQ2SjI3tyIurqnRtVbKWMNin3XyjweYioZGamR0Sd523ARFfwP+eP19JvXHNkRCJEqoh6Mk6WZZAT1XWCr1uphi9/NpAt+3b6HKaU0Z9SJ2ryzbeqlK7gEVEj96oAihsVgZnvs2XfDp/j1y1rfzHLwfKYuGKWztdzKvSVePGcPWxTp5lPRAUObszzMUum6X3BRFTWgVJFS0jU0cOyZudGaeJ1K4cKYt7sdYv1dvd0iNfrvC5U8jf9XZBOQIfaFaoF7SwPzsnL/M3rIIQ6EbWU/Bcd4fYLwUTUWK+wGCjIB+LK5RM6Ucvr9Z4ksnuTwomuiKgZIR7zvfnOTGNyIqoTjJkf8RJvIqqR5TA4ISeL0macCHRCz+7M06NHj6rwxgURDpdjixYtpGLFijlrMBu9X2TOZ57bZ78qUijh8SDHUKiISPc7RP55SGTK6yJtLhfJoioIHKm4PekOjOuIZYrbGRDEq1evrrml/gNcBouPPfaY3HLLLepMQni98cYb5fHHvY7aDILPvOSSS+Sss86Sp59+Wtq1a6efSZftkiVLZuhnGYaRs8HlSGTIa6+9poLTN998I2XLls3uycoRIGQiiHI8RuTk4m5zrUaaAAGTC7EvXCNyOsHTXTiWBxM2Mbf8888/0rNnT20sGDgdnEx1gqq7INI60ZblyElh9zeP8Vk0/+J4xLW78DfTltMEVrLnOZn9wQcfaJXNm2++qYInJyP5HRTIpEmT9FhGFQjzGxEUQXT58uUJGoASvcOJcgfLzF0/9NBD2ryRz+WYTZb4zTffnDWRSEaOxtaALOaIL68w7U4WHIp0bN+0d5sKT8EEDkrJcTm6cm/E17SCi3PC8pnqtmRgmZbBGoKRK1Hv3aSTinZM+yqvuxV34uSVc9RJuXL7Oj0gpHfnvWSLp7y9pTcuILmmObhhXTl5Uk5Jh3NK4rpEEEKAbVmzsUYVjF82Q4b3GKqCkVvWdF0PhNcA4lCvxh1k2pr5+nf3hu3lhxkjVbBmGfI+NKJCRF2xfZ1HfAoQKJlPLWo2lKmr5sniLatTLaIibvM9cKDiiE0ra3d6S/mrJC7lX7XdU8rfKKJuiq5Hlzubl3FCqBMLHW5dCdZYylfOn0JebfSxowkySMHtI/YePpCqbdiJrpW8cQDphWliXQuWBxtMMC5ZrLieCNp3yERUI+tAzEI0wunwySefyODBg7NtMMGxEMFs06ZN2sQDpyJZXVWqVEk0kMoxzPlEJO6YSNVWIvWzP/IgWdpdJTL5NZGDm0SW/CzS+pIs/XiXo8oFtyclmgiq06ZN08FsrVq1dLDHsi5RooQOGrlkBQimNInB6UrzmEaNGunfDEpz2uDaMIzMKd2/66679IQdDRRzSv53dsBvZ8TRyMhIvXDyiwviJW5PJ0ByjGa/zW3uz4oTnP7u09R8H4RefwF4y5Yteo1LlmMOJ/Lc8YnbiKvZue/HFXr99derCxoQU//++28tvScvPBAaMfrD77lffvlFM0+HDx/uux+xlHU8Kaj+GDFihMZX3H777fLpp5+qI5bSf+P0xUTULD4g0ZUeSqRDRKXpUcMqtdX9OHf9Ejm7TZ9EzyEfE5EP0aJtnfRlkeF0RLhDwNuwZ6vUq1wz1e9BNit5sAh1ODUD3a1OuIw7dVJdeDyWHjGNee0yQl3majBoZAXktO49dEDF7ZRcd0QxlAkvKQejD6nwyvzp1rCtrN6xQUXRhZtWqNB9xLus/fNQXSnz/sORvhL4k6dOqciMsNamVhN1rlKSvX73Fp0viLa4MxEZcdfS+CmQptUaqIi6MsSGY/7zyZXyd2vYLl0HR3JhoX6lxCIq66qLC0gK4hFOFyeq6zzvhNHAcn63n/DH5aemnIma2InK+kquKdvg/iMHNaYjFHZH7U/gZE0vTBP7pZSaSx33ftfSxUp4RFTLRDWyAAYTjzzyiHz00Udy77336o/y7CrdZxBDp1jEUwY75JqSc5oTogSS5cQxkVkfeW53vZ3RneRoCoeLdLlNZOyTIlNeE2l5YbY1wOL4i5uGCw5jxFSWP6WIOFNr166dLU5Q8g4ZdOICosSfgSiXOnWSjj4yDCP3QkzMTTfdpLnNuPdwoOaoaocsAOcmeeNONCVCB5ywyDGZ24ilruw+N8Hy5MQcl2CuV8RURGK+OzneNBvkNU5QJZqmXLlyWZa3jnOWzHecof7fgWz6mTNnhrxM+W6BTmocqxx3+U59+vSRZ599Vr9bILhYlyxZomIuDliaPOLQZn4Ypx+n1x4xm0GwqlUhQkoXKe7r0J1W2tdt4ROnKCH3hxJ550Lt0qBNihmKKcFOis7egECYnlJ+l83q3s+5Uxt43Yvx8Z6ydsrS0wNZqGSdIhwl1yhq2wGPE7WIV9SqVraSCk0p4dyozj2JsNq9UXu9PWXlXNmyf6c67gIbiDEYHrlgok5XwfwF9DnzN3qyWsiK5SxiU2/0AgKzw5XxuzL/QIhDgDW7NmokQqggiu84uEenp0O9lpIefE2lApyoCGab9m3X28k5XXdF/Ze/mdcpWtizTbp1JLCcn3kWGBDvXKuhlvMX8xPv2eY4gQGcLAh1f+UiFsgszgjcfs81XEvJiVo63PPDxMr5jcwGlw35WnRPJ6OSMubsECwpt2OggOOBARwdY/nhTo5mjhdQYfGPItF7RUpVE2k2RHIFHa8TKVpaZO8akRV/Sk6A3wK4mXr16qVuF44HkydPVofqjh07sryBCMcQBoyrVq1SRyrbCk4ca2RiGHkHfveRD8lxB6GJMmmc6KeDgIrAhhOTShSOv+PGjdOTWOz7OIHVo0cPjTjp3r27ntDEnYh4lhsF1JTAhYqgyDGIxogch/juHIvI7sZ9i7A6evRoPcFG3BHCOzEBmQW/h/jcwExS/qZqKBSIZyIGx78pKKX85KbyPThhwHGWppx8VjBciT+RAKwvbCvMB+P0I+/vFXMQrilRpfBy6bbD8z7aUEhERi2e4nOpUQ7/x7xx6nYsV6JMsqXsqaF1rSa+bvep/dFMNujqHR5RtJ3XFeuEQtyWiL71K9f2CUWn4k+lW0R1pfyIdgiEKZXzA8ukaplKcsTbmCc5nFsSJ6oLA29Ro6EKiJThj5j1rwpF/g3EmG/jl8/UGAaEMCc2OoE5omxln6vUX2D2n/+IpME6t5NDiosRAZh5GipTV831ibSBMQGphUxYqF85oYjKsmQesc6WLZ702ToXp3BaOFG9JzbcdutgfWE9ZH4Flrz7nKhewT/lxlIJl2f5EmVTJaLihkXkZXoqlMyY/CvXXColJ6oTjMt6RVRiCAwjswZOlCvyo5mSZX5Ak1OZlbC9MwhAyKU7OgMYBi3kePGDP9cMYPltMP1tz+3ON4sUyKFxA4EUKemZXpj0CgtEchIMZmn4hPOFASPOVAb469evT9BQJCvAtfTee+9pmS/NPRiMbtyYvt9rhmFkP5ycoXkdAhGiEmJqXs4+xdlIc0Z/0ZTqD5yVCIeDBg1S4RTBlEoAqgBO5xgT50LFgctJNH6j8LuJSgWE5EBRlfUpq49PyfHiiy9qw8TffvstgXuWk4NENrGchwwZIiNHjpS5c+eqOzU5mA98X3LKhw0bpjEDzq1snB7kkl/mRjB6Nu6opf2Uu/486x91pSKgbtu/U0W6c9r0zrDBF2XliDIIK2u9Ylmo4LREGKWM35URc42oxv3koiKuOaEGIXiNN18zrSzxlvI7oTkptnudqIhF+fPlUwEv2ptlmhzlipfRnFmErQPRUXofB9eBLXtK2eKltWR5zNJpeo0zdE/Ufvl17mjNTYUBLXtojqpzg5J9WtnrwGxWvX4iJyrzhvnHYHvR5sRuYD67sbdUnkzZUIiMPuSLPEhPQylACMf9C4FxD04Qd27ZYBB94DJkK3tdvnkZ5w4PdKKyvSKkQkzssaAd65NzliPgHzsemygTFdz2FaogyTrrhMz0ZCr745qspeREdd/VZQezbgTOK8NIL4iWlE3jPqXTOWJqVrpKOLHGII5u6LhfyeRCKGOagpXY5XjWjvG4OcNKirS7UnIVnW4UCSshsmuZyNpxkhOh0QfNzegYjPuFdWfs2LHqFkMQyEooeVy6dKmecGB9ff/9982Vahi52H1KJjOiKSdpEFPzIpSkr1u3Th39dF/nRJS/aIrLFFGQ0m5rHBTaMYl8do5H/qIqY5mVK1fKv//+q6X2nGijMWZ6IGuW32dkw/vD38nlmQJZ3oioiOUcr5KDmBo+i/UkJRh733DDDXosxLXMfOAzjNMDE1FzMQilg1r3UqclZeUjF0xQQY6d1+C2fUPOPQwFRD6XLRpMxEvu4DzTGy3QsV7CLE9yUf3FQpeLiuiYHicqQtIy73sml4fqL6JGxRzRnSHCrnPypegq9jomXZanWybndxigJfwIrDg93/r3C/lyyq+ycc82FaPIsEVQbBrh+f7bD+5W8dY5Vpt6ow5Ylv6CbltvSb9zrgbiREp/8TU5pq+ZryJ23Uo11MmaHjbv3abLunSxkr6ycYdbloEOVX9cLAIZmMW8IuLp2FjK30Hqvx6yTruYhuTK+Z3wyvZaNEBs9YmoITpRXSl/RsYrhOpEda7bEkWL+0RlK+k3MtJ9evfdd2sZFw2kcJ8iTmUVlIkxqMCxQXk0pYIIY0xDjm0WFQrTvC5UBFTcnTmFUyc9LtnkKFZWpM1l/0US5GC0aqZqVe3STKMXyhwRUykvzMxyykAQ+mnsgbOHASrrMANJwzByB7gFceGR/42QigM1L7lPGZfs379f9404TXEX0ryPZn3srxD+TDTNeFEVV2ffvn11/laoUEFL/TlGMf/5zUPOqqviTM17c7zjd5NDKzzHj5fOnTsn+bqXX35ZnnnmGRXN27VL2TBEFjnrDN8jVHClIp6SqX/BBReosGqu1LyP7TFyOYhf1/Yepk2FaJJUvVwVFQ5dZmdG0rpWU5m5dqGW9CMUOtEvORACd0Xt0xLktrWbJniMXNQJy2f+l4taubZMXz1fTsTFqbBI2XqwzvYpgVOWOAOEzNoVqiX5PESp3Yc8QtHBmCjJny+/x4magsDj4Lm4fhEAXcara1LVs3EHmb9xubpq+RzEUxpQkVFb0dvpvFFEHZ9YVa3cfyIm7jvXSGrF9nW+/FsacOE03rR3u7oE3fsEitKrdmxIsQM708S8hh6NO0h62bzXk8uLW9YfDpKu4ZQTyYOxO9KzHNLTTCxXOlG9rtFAt+ZeOaDuXocTW1mmycVTOOEVsTKw7KhCKsv59xxyTaUy7mSMz4kaEFUQSKw3lxjBGFF+6/6dKqKmV+w3DFynl156qToNKONr2LBhln02pW2Ip7hfyNUi5zRXlesnx/aFIhuniuQv+F9pfFZw8oTI/vUie1aK7FnluURtF4mLFTkZ67lGQMVhXKKKSMmqIqUiPNcVG4lU7yBS2Js122KYyMwPRFb+LXI82tN0Kgfj34jqwIEDWk7JQJWsPgT5rMrQpaQfJ859992nLp+33npLG9GczqWvhpHT+fnnn1XsIesSkTGviKeMOxCwEMO4MB4iBsXE0qzHNa6qV6+eVkvgGiW6yP0GIiaBjNXw8NCOtffcc49ceeWVKoZ26NBB3nzzTW0IevXVV+vjw4cPV4H8hRde0L/JOH388cflu+++03xXl51KMzAuNM966qmn5Pzzz1c3K9N1//336/RSFZQaON7deOON+rrrrrtOheRvvvlG3c1G3sT2JHmA4kXCZWCrnpn+OfUr11SnYGTMYc0cdc2OksM1uGpdu6nPURYo+rlcVNdcqoB3QLl218aQPiOpPNTm1RsmOzjFQcrBtnCBQpJP8mk0AvMSFxzZosmJVf6C3/7DB7XU2AljCLin4uNV9OxYt6UcPXFMMzADS6Kr+L2eeICE86aBiqgIzE5EJfMUtylO09nrFss5bfskeA1Ny5gGSqW37N+hom1SLNi4TMXiMuGlpEX19IsIfB7ULB+R4H6aVlGKzbysGSCwJnhe5J7TTET1uEljGeAn5db0cyGHnod6NIFYGcyJSvwE4n5KJ0FcOX9GNZUC5zKOPpaSE9UzX8IKFtJ4DERU4icMI62wr/+///s/efjhh+XRRx/VH8pZVbrPIA6H3po1a1TYonSQQV2eEplmf+y5bjZUpHTSx54M4XiMyLoJIitHimyZLRJKM0WaRERu81z8YT9Yra1I7R4itbqKlKklcnCTyKp/RVpcILkFBJCOHTuqeICYijuHQSPl9gxWMxvyAj/88EMZOnSoDmQnTJig2am5MpbCMPIwlFUjRpEP+cknn6iAlFcqTJxwym2chGRJc8I0T5yozOXgJEU05UI1DoImy4o4GrJWEVMRQJM7Xl100UXqJEYY5fX8lsJh6ppN0ejJf1kTM4N4izvUnyeeeEKefPJJ/Q24ZMkSdWHjjuWkNo08ca6m9bjJcZeTme+8845WO/GbE6d3XmxAdrpjexUjZNgxdarfWm9PX+0RR5ODnEuXAdq1QZugos5/uajrfE7FOErvRGR1GnNRQ85D9TaVKlO8lKf7YsXqvhzJUEr6KbumfN2/KRK4bE+ELHaaCLPBMiWPx8Wp0w7BFbHRH9d4C1epPx3qtdTreRuWJMofo4S7YdU6KZb0IyZMWjFHb3dr2C5Dflxs3rddr2tWSCiUOhdqnYrVkxXt3Pw7XURU11gq7uRJFTT9cQKovyPaiYpOfE3RiRokEgERHhFWy5uORIZczp+hTtQiITpRvaJxkcJhUqpocb0dGWMianbAj1DcZYgkXCibIufK8dFHH2nJlmu6wA/RYD8qecz/QvmvPx9//LGWRDHomT17doZ+B1x6NAx47bXXtOSKxhlZ8YOWbY1BAoIWDlSaMeBKwPGQpwRU3KAImtDe4wjJcPhdsGGKyN/3i7zfU+Sfh0Q2TvcIqGHFRaq3E2l7hcjA50Qu+1bkql9Frv1b5MZxIrdOEblhjMjFX4gMel6k660izc4VKVXV8/rNsz0Npb4YIlLAu49d/JPkRtgOKXmk1B+HDoM5yidPnPC4+zMbBo2uUzNuIbJ+sxL2K2xb5Bs72D8F7n9uuummBK/7888/VXDGmU5jEcPIa8dBYF/QqVMnzQDnktsFVKo7aAZFxinl+pRhsx2zH2I/iPPUBNScB7+/EEw58ceyQljlmEGjplmzZuntpDK2aQDKMo+NjdVthPdwEBfwxRdf+P7m5DW/wwIvCKhQtGhR/cw9e/ao2Mrz2ZadKJtW2LZvv/12zd1neviOzgWbFdhxMGswJ6qRKjrXby2jl0yVdbs3q/CVnOg1cflsFURxJxIzEAzcqIg1y7aulf4tuul9OCkRJ9emIRcVF6jL4EwpD3WHNw8VwYnpxMmJgMV7OJdmSlQtW1HFnW0Hdvucn4jHUMIrGCUFjZgqlSyvLk5ctw2r/lfu7gTl1QHzoFm1+lKscFF1A/NYYLOmJhH1NG6BJmNnte4d9HNx/u44uFvdoZ0beETx9LJ5n7ecv1xCEdUti+RK+WHnwb0J3Ll5HUT1ggUKqIiKi7m4n8DsBFB/oTHW22jJia8pZaIGc6JywCxfsqzGflDSn1zWKXEPrmFahmaiOidqio2lPAP+wgULq0McDsUcybDpMEIHdwA/yCgPdg0ozj33XB2A0YgCxwc/ELkgTibF008/rd1LHf4ONdwD5FbhjOHHM6VZK1aEnr2dHDNmzNDuqzgWmOZy5TLupEBSMJ9wS/Ad+KHfqFEjLbHOU8KpP4ibRyNFwiuI1Ew6myypeYXAhzOFQZP/QIe/jxw+LOUPLZf4Lz+SU1H/nViNL1VNTjYYKPEN+kuhSg0lf0qiOOdHS/I7pK3/h4sc2CiycZonimDbXJHYw57HVo8WmfelSKtLRFKoAMgoEFkYHAZCbu+7776bqvdCzEEsQVRgPUTEZ2CEQJPZJxBwgCHePvfcc9K1a1d55ZVX5Oabb8709Z+OyrhhgzUOYd/DPsjhH3XANnrrrbfK559/ruvdNddco24knFOGkReOg/D111/rvoRtkW0zN+dvR0VFqeDFSUq2ZY6v7du3zxLXvZGxsJ8lF54L2xENE1nviYhhuXLMCrXcP6fRpk0bmT9/voqV/AalvJ/4m8zEjoNZh4moRqog7xMhb+nWNTJt9Ty5oOPAoM+jPJ/H4YzmXZP88ezLRd22Rq7oPkSb4Rw9EauiJnmqqYXO9LyWEuSUxB/nRM2fv4C6XGqVj5DwIkVl3+H/3KQpUa1sFVmxbZ3sityjzX9wg7rX4kBNCkq1DxyJlEqlPSLqul0JB07OUYrghSjr3gs3Z9s6TTUDd/rqeYlEVOdgZT6wEww23yev9LhQ29Vp7mtilF62eEXUwJL9UEVUl7+ZkYJdTiesYJjEnaTr/PEE64pza/oLjS4TNbmmUp7XeF3QRYIv1wolyvhE1OTYd+iArj/EQ5RIZj1OcyZqCiIqwrIr52efA+ZEzR4Cu/Qy+MKVg1uAwaM7040DIDkYLCbVQZUSZMq5+NHHc9LbxRUQ4BBv+MHINN95551ZImIePHhQBwAM8jijz8Agz5dxLf/Tc934bBGOp15xlB/lXGh25H/xv4/bznHi75DAPVQqeqPU2vKbtIreIHH58smxAkVlV9n2srNMO4kqUk3iOc8zl6qLtTp4pssyF//bgX8ncCWxPpSr47m0Gy5yZK/Iwu9Exj8nEndMZPQTIvO/FjnjCZE6mZ9rxuAHMdlBl2yanwwbNizN78lJg27duqkLhm7JZL6RxYsLKDO3B9Z5Si5xxJJBTHk/pcNs55kB2XaXXXaZOvmeffbZRI8zWExq/8M6yPQyyAUyE7nPBo9Gbj8OAo503Hs4y3766SftoJ4b4Tixc+dO2bBhgx5f2YfhCC5TpkzePUF5msF+mpN9/HbiRDRCOZU8OIr5LcV1blvWnND89ttv5bPPPtOKKPYVOGEzI5vXjoNZi4moRqqhEREi6sw1C6VXk06JurHDtFVzVQjBWejfdCkQl4u6YfdWFU9rVIiQ1Ts2qEMPETUpITAplmxZ7XOhpvQ6nKDgyqlrVawuxX0iT2giatnipTQCAFGIDNOIMpX+y6VMxom6Zf9Ova5bsYbMXb/EV/buwH1XuVR5bcqFEOmfDUsJPiLqsm1r5cCRKJ0GR73KtaRg/gJyMPqQOoUDG4zx/KVbPfOoR6P2khGwjLY6EbVCRIKSbJpgQf3KnrzbpHDl5eW9zY9OBxBEET1d6brDCdv+QuN/maiFQsxETUJE9eai7j2cvIi620/UzsgfLG662De4kw7BcM5bRFznRI2K8TrEjGwDgYdmFAzKkuuGGgxcPORM4SxAVLn77rt9PyKbNWumA8dSpUrpDzZ+AKYHfnxfccUVmg05efLkkDqyphdKwRBPccbUqVNHmx7kZqdPqPv+mCOHpcjyP4UteVWBBrJ78mSfOMrjzINAIZOGDoH38ePdt6+J3i8y/lmRzeMkXuIlOn9BKdL1einW+QYpWaSUuF8Uzq3KvA8m1DLQ9v8bWL/cZ+NuQbRgvWOgk794BZHud3qaUfH5p06IHN4t8ustIk0Hi/S+X6RIyhUqaYUuxoHbTN26dVWITA/MV9yhDJ5w+dBEBmeq2+YyE6adkn6agVCi/OOPP+q2kdHgoKFBDi6fYINHBrG4gJgHCGKPPfaYz4XDssf1xzxiXvF6y3I1cvtx0J2I4SQM4hPbIcJjboN9N2Ia+yyOE4hplHCbuJN38W+ayMkEKjRwfbOtsPxxp+amBmF8n2uvvVbXW3Jd+V36/fffq8M9I7HjYNaSe9ZAI8eAq7BhlTqyeucGGblgglzV8/xEgti4pTP0NiX6yYkwLheVkn5yUXGDIqKSk0pZPQ7F1LgTXVOpFinkoYLLIUWsInuxdoVqPuHz6PHYkJrvAB3DETq37d+lEQBOHAqWS+nY6m3EhNj7w8yRiURUaBRRV0XUVTsSiqhEKLAM+Mzpq+cnaDBFiX69yjU1S3XF9nWJRNRxy6brwJPlF/hYWsHViACeP19+ifDrnr5x7zZdjmXCSwYV2h2a0ekV9cqVyByXSk6kaOGwBK5LB3ENSWWiplzO73lNUe97JCmipuBE3ePNQ62UgXmonukqkiB6oETR4C7X4978vsKFCmszOzARNfugrIrBImIUAthvv/2mnW5D5Y477tCyJprfUF5PuSOOktdff933nE8//VRLGflBR05VWmGgSJklQs2CBQsyXSRi/8UPfARUvl/v3r1zbelZSt8T0QBhkrw/LtwueWCZdDu6X+IKlZBCjfpK/fCSCQTSVLtwN88S+edBj5CaL5+cajxYpkU3kL7dLpUCAaI0vy14f9aXlNYZxNZAZyyuDURvhAYeZxCBqFq2QnepzneOPSL52l0tsuJPj9t28wyRfo+L1AselZORIAwz2KEBTEadyOJ9EG8YJNHkbMqUKRohQNxEZgr+iMO44MgkZvug4RSiakZB+TPbOk7eYCBWMeimaQhNRB544AFtZvLrr78maDSCQwinsg0cjdx+HATWb7YzhFpc4blJdALEs3Xr1unxlXmWJxsyGinCdsAxiigNthfWCY5fnKxGUM1NYjonSjhO4Qzn5D77kNSeiEkKOw5mPblrj2rkGM5t109eGfmxLNy0QjrXb+PL82Sg9f30v9RJRjOhVjVT/oHhn4vqursX8wpM5HeGKqIisjjnY/Nk3K8Oypp1mr1dz3HNsuPAIYjzDxHLueBCEVHJGUUEdo67pA70h44eUUcoj3es72kUtXbXZh3E+ZcaNqxSWyatmC2rd6xP9B7dG7XTz5y5doEMaNldxVP/+elE1L7NuvjuPxgdJbPXepo8uPzZjMA1lapapmKCBlrrvMJw3Uo1k/3Rg/DnytXpxH66wDrnL5AGujU5ieDWCX9nZnLwGkhKwK/gdfq6+ISk2B3lebxCyYwVUfkuCKlMJ5mvSYmox3CCeedRKW/zNtzVRvZAeRXiJKLZiBEjdGDGmfRQB5AIQQ6cNvzovfHGG+WFF15IkGGW3rzSX375Ra666iodnHLJ7MEWpfv8GEXwYnCcVJlUbsMJpv5iKdfsj/hhjdCIo4ky1pJTJ+prCjY7R+rW/3/2zgI6qqvtwm+wJBAgBIK7OxQptAUKFKvQUqNG3fVr/7q3X/1rS6m7u7cUKVaKu7u7JBAXEiz/es6dM0zCzGTk3slMcvdasyY6c+faOe8+e++3+MVLr42j5r0vMv8jI6sUi/15r8rx+GaSP2GCOfceD2Sr6+fls+5MPy5VqraRhKwNsjk5W451e1war/tEKmXukXJ/3C1RvW4W6XOPEQdgEf744w+1PZzPZgPClGMHocr5i12Sa5nmHlZdM+z/Bx98UKlRR44cqQipV155JeioC5S1RHWQwQpp7w633HKL8+tOnTopEvmss85S0QYofTWsXnCxEdmIlHGQ+zRqVxYtyEHFQhxJYHELFwkLXJCm5Cpj2bdRtsFYgXKTuQduI84RHhCp3Mc93f/DDSyQsFhCzjmKUZ6DHeftcbBkYJOoNgJCg4Q60qtlV5m/aZl8Ov0nuX3wldKwZj35fdFkpaqE1LvyjPN96oromouKQhJERRn/ty15l5zeuptP27R610b1jKLUF/JTq/HKl0NBWce5reQ2+kOiou5DyZp3OF+2JO9UP4vzYuXXWa+QjihKsd9DKu1NT1aEbNFc1KLNpUDHhq2lZly8Uv2SPTuww4mVLJ2Tum735kL/gzqYvFiUqjzMJlFdrfyaAAfFvddBh5WfWARv6t3SBs4Zd0pUSEYKWQp7zgvU0b5mourX0q9dFHpBIj0nU53jnl7PyoxajrFq3kZ2sJuxms+tG0uxfdUkTn2deSjL73gPG+aAYq9lSyNvmY63rHS/+eabKrw+EGBpoqsuFj0K02BB0Uj2KYoe1HsoUUNl3We/oJCI9NxTGjqQm8kDcthVmekkTLG8u47pZJmuc3Rw7RDEPs9OFhn3kMjuJcb3nS4SGfiISMVYkRB0leeegrKMh7bXFci1IhMfk4b5m2RL7ZtlWfnHpOb676Th/n+k3Iy3JXfnOik37DmJTzA38kSDIovsQlQjVgFC/PTTT5e9e/cqNS6KL6st/hSNdFTmGiVWAEtjMDmpNO2gszKLGK52a1S277zzjjPnzRW6mzOKJtfi0YaNSB4HAYtBkLtcF3PmzFFkSaSARSNIMcYgxhy6idtqOBverP6pqanqnIE8ZBGQuVgkOIH4DKhRyScnboPFTBTogarF7XGwZGCTqDYCxsWnDpWUrDRFmo6Z+IUiTjX5MaLHYKd1uDi45qKSsQoOHz2sOnNjCfcVOuvTFys/lnvUoK4kqqsSkKZPukmPLzfDZomNVDMn9gX5n55IVArT7cnGZ2peu7FSbjar3Uj936Z92wuTqA5CGXUt5JirCpFCFgXqd3P+kmmr58oZrbs7CTH+j20iCgB1LkRwckaKIrzBsC79xEzsPGjkuzauWbjYQ10LWtZp7PX/OYeAN8t/aW0sBTRBWlStiUIXIh8S1Wnn95KJCsHoJFE9KFZ5Lc5vXheitFHNem5fB2U4qO3jNewP2AbIf5rPuQP3ELZBK1F1BMCx48fVNemtYZuN0EBbowMFah7OcybBZqhWKBrJy8IiiV3KStA1mQkvyphItu5zjVG0auI0KytLKaBQ00KYUrwWuwi6Z4lI5h6RSnEiLQK0uKfvFvnpBpHMfSLEkNDEqd25UtKIam6MkzH7l0mHtm1EyneQgr79JX/JD1L+n+clbsc/cuCbXbKo5S1Su0ETtd+wrZtBpkNmTp06tZDNziowV4CwQPGFtW/WrFnKJgmpY9XCAIXuvHnzVAMMCrmxY8cGTCKhpEHV6gpy3bB/Yld09xm4/wCUODZslIZxUN83WJxgUQKCt1atyGjUytjDoiTqQuzGXNOuXcNt2PAEYh4YQ2jKBplKA0PIVMaTYOMwQgHOda7V888/Xy0qYskPRHVtj4MlA5tEtREwIE1vHniZfDnzN1mze5MiP+jkfeUZw6W9gxj1BZCtuonSUQcJm56TpX6OEtXXgnCFS1Op4gCBSl4nIMuzYcKJm4jORc1GKecjmtVuqEjUPWlJikz0RPTQzAqiC2KI+ADQqm4TRaJu3r9DBnQwSGTA5ycPMj03S7Ym7Txpn/Zs3lkmr5wtB7PSZOb6RTK40xnO7YeM3ZWyT+XL9mzRWX6aP0GpUNs3aFlsk6eAlai1TpCokHTEG2g7vzew/QBlbVlCjIP0LqpEBRCdkKhY3gs1lvJi5+f40pDNeG3Pf4e6FDX0AQ8kKnETvB/Fta8LIf5Ab5u7zw30Qgzvzz2GZ038ci3YJGpogS0eRRzWX4qd7777TnUgnjRpkvq9JuFYzQZM5CDg+HsmuJAlKM8gHPk535PRNmrUqKAteih4KBoh/5iIBmuD9AaKZcjTgwcPKnWP1d3NrQCqJ7ZfHzOUCpBnkFoU8n5ni5ETCtoMEakYgIsgbafIzzeKZO4XiW8kcvH7IjXMc0kEhTodRWLjRQ6li+xbLtKwhzreMT2uEKlRX2TcA9LgyA5J3P+FbK77oDrvOUcgUiFU2a+B2gs///xzdTxoEBEqoICBPEeJy4IE5weqlmBUot6A2vXPP/+Uxx9/XHr37q0UqcOGDfP7dbinFF04YWGDewE/x6rIPeucc85RP+Ma5v7Tr18/pbq1YSPSx0HA4sfFF18sl1xyiVLHRkJTQzJP169frxwdkKeo1CPFkm0jvIBLBnU45CnnFBE12PyZ24R7Zioq0KKLipCf/sAeB0sGNolqIyigfrzlrMuVPRcyrHa1msVajt2hQ6PWikTlNShUyICE5NyStMsnC296frakZKcpZae2s3vDQUcjI5RuSonhokSNi658UiZlcagWG6cIZP7+QFaKRxJrc9IOJ+mqX7dpomEf3H6wsOqW7cLuv3DLSqXqLEqi8v+oSr+Z/adMXjlLujRuK7UdjYBQoyoSdd829XeQtOybi3v5X6QUhx0H955k54f0BZBwxUUioEoENePKlhJVW+41QeoKog0AxCHn1JFjRwvlqHrLQ6WpmWtGblHUdpCoOve0KLQKFVLbl8Zq/kKrad19bldytVJ5g0AFnEPsC5TVrmptG9YDi9A111yjAv0hPphwUTgOHjxY/f6DDz6QZ5991vn3TMo0EUTOE1lvrK4/88wzimRiYsvkzTUfLhDMnj1bLrzwQpWvOGbMGEuLRuzOK1asUJNPiuBIKvRogpKUlKQKfJQ+HA9IPgoOPo8v45tHbPg7cCt/2g5DgZqVLJLQVGTkpyJx5iiyTAH7pekZIuvGi2ybrUhUJ1qcKTLyM4n67Q6JTtssHbZ8Ku0v+kCycg+p/YwijPMFApJ9zYMixxfSnfs91w7q6pJoBMM1zjWMqodrjAKPwjSo88QDUMfQrZxFCQggugHT1MLMxQkKaFS93COwOqNS4r2eeOIJ097DRulHuI6DOvqDplWvvfaa3H777RLuIA6HxkAsgnJvHDhwYMQ6OmyEF4jkoWETLhvUzdz7ieDAXRHOjdUggclBZ1xiUZF7RSCLip5gj4PWIHzPKJNBB1Imtq4gzPuRRx4psW0qTUBZ6U7V5is6NmylbOnr922V+jXqqKZPx2n2kJ+rsks1OegJOzP2O3NEi2u+46p+rOCQuLt2lYcEhnCEuEIJ6KvyLbG67nyepuICihJQkFPY6ilGWtQ+YXF3kqiOpliuaF6nsSJRPSlyezTvJAs2r1Ak6dez/5B7z75OkWg0+pq6eo4s2rpKVu5c72wmZYVlXjfociW3nHmoxahQXe38NauWLSXqicZSJ5OJurkUuaG6qRTwRo6SyQs4/70VoXUc15ImS4si2ZEVbEUeKqjo+AyaGC4K/XldF2PiK1eTvWnJKsvVRmhBgeYNFIU8PAE12/z5803dJiabKHheffVVS4tGrT6FfKRojhT1KcQpjQYgf2mCosk88rd8JfOKRW6qyAHD/SEO67vPSN0m8tONItkHjAZSEKhVwtB62qyPQaJunSnS997Cv6vXSRGp8v1VIjsXStQ/L0q1wU+pYqh169aFyGsIA01eo0zzljlKobNz50654YYbpKTAHAXilO3VqlQaQlmlSkWBg2Jo+PDhSpXGdR0MaYtCUINikeY/NmyUtnEQgQkNpN544w0ZP368yhANZ+B8QBHHAg3q3L59+9pNbGxYAsYq8r6Zu0Gmbtu2TY1pKJ7DdQ7HoiK8FMpRCM73339fLdwECnsctB5lhkQFNJ64+eabnd/bgdXhA62yhHxrlFBXEXPVYuLk0JE8pZorjkTdQZ5alG9WftemUhC1gPd0BZZ4CBss/b6SqPGVq0ssBJaIbNy37STl6EpH3AAZoToyQKtS1WdwQ6K2cOSJbnaQkkXBYDCqzwXy8tgPZefBvfLZ9F/kyj7nKwUrysQ5GxarxlzY+M/qeLqYDVQz+9MPqK8hvzUgdYEvDay0ErWsZaJWcpCEh4+d3DiF5maA3FBNNmpruyccKqaplIYmRz0pUZOdeajWWKPJOta5x+5wxGHnZyFDo5pDzYwS1UbZxkcffaTUOzSQsrLrMIoj1IRYLVHKhLv6lIIatRSLxZBe5OGxeAwR5tr52TTsWmQ812olUtmPe0VuisjPNxkEaq0WIpdCoFoXwxAUmjnI4R3zRbhPly+yiJXYSuTcV0X+uFtk5S8iCc1EehhFD+cLBRsPyAOKOUhtbLfMPfk5pHxRBfWQIUOcmdAlDa1KhQRGlYqiB4LYClXqqaeeqhrhDB06VJHPn332WdjbMG3YKClwT7n77rtVJAb3FKuzwIMB9zPGJJrXcU1jWY6UvFYbkQ3idRjDmM9BpqJ+ZkEcEj9cwaIicUAXXXSRmtM98MADJb1JNjygTJGoTFwpKPxRobiGhhNcDI4cOaIegUD/X6D/X1oRH1tVkTao47DFa9IIInBb0i7p3rSDx//lGO3KTJLKVeOkff0WPu3bpHSDKIpyPGrF1Sj0f9HlK6lJSkZOptSs4pv6Iis3W5rUaqDyVlfv3CiNEuo5VbFY3pPTD6omVi1rNy30Xg3iDfJxZ8peycvPU0pSjcZktRZALu/w+LmqVIqVy3ufq7JpUZ1u/mWHVI2toshNMjIrV4yVUWdcIMePHVcPM89TyGhIPnJla1Su5vx7SGQmTk1rNij+NSDzCoxzoDRfF0X3abkCYyLMI+dQbiGVaaXyFRRBnZmTpX7H35SvGO11/2TnZqv/qViugte/S6hcXf1dUvoBde0ULYj3pOxXv8fOb8XxKC9R6vUP5ee5ff28/HwjRiOqnPP3VaMrq/MpJSu90P+YcT8tzedcaQLHH7vv6NGjZcKECU67pNngWiPgHyUnk20yIsNVuaBz5SBOUS9y3aB0pMmA5fbInQuM50an+v4/x4+JjHvQxcL/mUjl8C1mpE6HE7moe5eLNOp58t9g7T/zAZF/XxWZ8ZqR6crPiihMtK0f6zpqS4o5SAXOLwhVlDPheJ4xPpDPRvMJOgBDBhMFYUXjF0haiFSyJ2m08csvvyh7pg0bNk4AlTtODO4fNFPk/hGuwDpMPmxaWpq0b99ejU/heJ+zUXrB+Va/fn1FTJJZzDXDAibnoyULzCaAfODp06erDFMWIP73v/9ZsnhpIziUKRKV7CWsD9zEr7zySpVH4y0jA1m1a8aNxuTJk4OeQE6ZMiWo/y+NKJd1VFJSUiS3Qrb6PiMzQ3KP5Mm0+TOkcopn8m9/dorkkaGamSUbl66RzVHrin2vBRsWq2dIxQrHysnUyYWPR2Z+juzLPiixFaKlcfXiiXcUrZtTd6kc1xzUs8cOy/rV66R9rWbqM6xL2ab+pmHV2jL94LQi/3tcykeVUw11vv/9J0mIPWFv4XPlHsqVnYdy5dc/f5NYL807OkU3ln93LJHdh42GWOWOipQviJIKGUflnymF39Os83RHxj71XK1SZZkyabL6ms+7YbsRrr9p2VrZucr42hPWb9uoPuOm1Rtkwj6jkVJphus+Xb1ntTr+FZLzJabCicGcRYFNSZskfc9BSdmyT9anbJc4Olfv9dzsbHvGPtmUvFmyqqTKhDTPk1TOw3179sqxguPy85+/KYLSlaias3aB5B87IhuXr5XUjUberZlYvW+97D6wWxbmLXL7efZkHVAkQ25KpiLLwI7dW9W9YcHShVLNzWcL5n6am+t7AzkbJQOITTLfsPHPnDlTEVFWIDs7WxYvXqwm3VgjwzWnjeuUBlFbt25Vqj2aELFPKBJCNtHWStTGfpCos98S2blIhHvZBWPCm0B15qJi6R9n5KK6I1FB96tFUreKrPxVZOJjIteP9aiuRXlKHiIPctsgwCnqONf4GaSqu0664aJKhbjBJoi934quvhDN2A7JO0YBjk0ZNZENGzZExbPgwGDxDHV4uCo6aWKIbR/7PlZi4gxsZbmNkgTjKpZ+zkfGMZpPsUDIuBuOxD6LlUXdGZHQMK4socyQqBRg3MSRcDNhpdMi8m5ULZ7A37iGfqNE5eLDbkXuVaCqJwp+wsjti6Ew4tYnyr7JX0sU2tBkkZjKsSKHy0lszapqNcYTfp4/UWSNyJldest5557n03v9k7ZSZKtIdKVo6di87UmvjwJ2+Y516sbaq0WXYm+w2P5r7tqgMlZb1mkqM9cvVFmXh6OipHxBBelYv5M0qFFHTmt1itsi939LvpVtB3ZL805tlP3eFV9vnqSs1y1Paa+aR3nDFcculT1pySpLc+GWFTJhxQyp0ai2nDPM8/4L5jydtHKWyFyRJnUaOffhsu1rpOaOmlI/vrZceH7xdtt31/wulY9VlnMGDVUxBKUV7vbp8WWxkpt/SPp3PF0S4k4onom1yFlSIHWr15LTWneTSluqSd34ROnXtqfnhYHNKyRvY5R0aNhKhnbu63Vb1hXsk33pydL51K7SrkFL58/TcjJkWtoKpQK98sKRljSWqrCqmqStyJMOrTrKOb3OPun3q3dtlHVH9kjjWvWd5y3/s2H6XqnXpGGha9WM+6l2GNgIT6CWRnWDmsVK1Q3EPfZ9Xh+FQjiu+lOYsp2Qp+wXthW1bGyskaEcMhAxsttYiJTGvXz7n01TRRZ+Znw99DmRmsU3gAwLNO/rIFFnifS7z/3fMD846wmRpDUiSetF/n1F5Nz/FfvSqE95dOjQQR1XCAcsh8Qw8Aj5cS0GiA66du2qiJulS5cqQQLbbva1wvyaBbSrr75a+vTpoxr4sD9s2CjLoGZFpY2qbty4cWG7yMd2Ml6j8jvjjDNUJI4NG+ECRHDEx0BMcp7i4glXi7+rO4PMcNudEV6IaBKVplCvvPKK179Zt26dWmlwJUO5WFgRu/XWW5Xa1JOcm5+7+x3FerAEqBmvUdrQtVl7RVZmHjKUqDSVwtq+O3W/1321cpfROOmUZh183qcpOUYOJ5P/xon1T/o/igUyK2kQdaTgmLLMe0N+zmG1yhVfpZrUjq8pQ7r0lRlrF6rPoJsundb6lEJWfVc0rd1Qkai7UvedtC0t6jaRpMwU2XFwj/Ro4V2Bxf+2rOcgGcpFycSVM2Vz0o6Az7XiztPkLCNbtkFCbeffbU/Zq45jq3pNi31f9q/KuYwSqevyGqUZrvu0SkysaqR0TAoKffa4ylXUuXnk+FE5LgXq3KocE+t1/xwtOKb+Jy62SrH7sV6NREnKPCipuZmF/nZ/5kH1GuTbxsZYU8DHRseo90AJ6247C6KM65IoDP37mlVrqHOKxQp3/xPM/bQsnHORCghuVDdYAq1S3UBMMpGm8GPl35/In1AB1RGNEbCAQ6zRMb1EFYvJa0UO54hEVxNJ9CGHPHW7yMTHja/JDG0zVCIGzfqeyEUljsDDGC4sOA1+RuTbK0TWTRRpN9wgYH0A8w1IQkhx7PKQ5DSYgiyhq3C4kRCce5C/qLbJY6QbstmEDnPv77//Xv7zn/+oBiF///23mrvbsFEWgQ0ZAQ+LCjS5Csd5i2sjRhZXbOu+jXAGzh3mlNriz/hL801vDuWSgHZnMBcmqgl3Rrgq0MsawutM8RP333+/XHfddV7/hgmoOxBsTfFEUYK820bJgwzGpokNZP2erep7skVpNrRPZXsedauKg3DduM9oYtS9me/B6rqxFBmlrg2RNBj46ZDO6+fm5zq7pXsC5A6o4shzrRYbJ+ee0l9yDx+SaMigYhR9TWsZzaW2H3TfXGruxqWyJXmX+ANITD5HcmaK2pcJceZ3wdRNperVqO382Zb9O3xuKsV2YWdH+RjvaB5UluCpyVJsJSO24dDhfGejpUpFm5oUQd5hR2MpRw6vN6BqlR3rZG9aUqGf70k1vm9Us24IPvMRj8Q6QNWtUd1xbqTn2qrRsgKszsOGDVM24n/++ccS1U1WVpYsWrRIFaQDBgwIO+Uf5On69euVShHLfs+ePdXkucQLU2ceag/D8l5sDuoDIsTMNOwm0teDmjNcUbudSIUYkcPZImk7RGq6n1Mq1O1gWPsXfyUy9TmR6/4QqeR79BPHlePMg2gJiHNUKBCWqKPDSSmDGobu2uQHa3s/pK+ZYJHg7bffVsUu1yeuAxxlNmyUJTAGEG1BDJ1Z2Yg0oqWuYA6edyRfPfKP5KsGpbjoiH2iHmtVt6m0qttEmtduLNGOZqjuQNM8nBzcoyKhEaMNG64Wf8auZcuWOceymjXDq9kl7oyJEyeqplOMhUQRME+wUbKIaBKVnKRAs5KWL1+uBiL7JAwv9GjeSbYmGWQhg3qlChXkyLFjsjctWdl7i2LptjVSIAWSWLmGX93dD2alqWfIO1Si7qBJVAjSxGI6lWc7FKdxMScKJqUKdJCqxaFZbQeJesA9iQpoLuUPKleKkcY16ysFK42eerfqKmaD4wLqxdd2ZvWhfAUt6xZvv0vJNhTBNapU96jSLc3Qk9K8I4VJVE2E6sktcG085Q6HjuQVImC9QV9L25J3F/r5rhQj49bTNWEGaJrljjjWOKpJ1HInhiebRC1bSE1NVTlQkCe//vqrJeH/hPXTKIc8LNwq4WTfP3z4sMqTg0RDhcCkOawsXDsX+t5UavkPIskbRGKqiZz3mqHYjCQwLiW2Edm3QiR5nXcSFZx+p8jGKSKZ+0TmvivS/8GA3pbjTc4t5yY2f5QyzHdRygQaJ2VFAYo6FGKfApS8RrbXTJKf13ryyScVKUOzDaz9LCbYsFEWwCIF6rObbrpJ9fTw99piTk481Ob922XOpqWybNta2bRvu2QcyvLrdaiVmtSqr8QZLes0UTFTKl7qeIFyctBFnHsBDXtKfJHPho0AGo+zKMhYO2/ePOUMYSwLJ1Uq8+AffvhBxdxoIjUcnVNlCeFzdlgILogFCxaok44Lhe9pKkXOWrjZpMo6ujXrKL8s+FspN+n6Tk4keaCQO+5I1MVbV6nnFvEN/GvK4aJEbZBwshIVGAToAcnJ997sCOUcuZbqf1ya9PgDVnzBjgOFSS3ACjDYmrTT79dtXa+pIlE37NtqCYlKriao71CiQoqm5WSqCVezRIMY9oYUB5lds+qJPNCyhGgHMXqSEtVFTapVzlrB6QmoVn1VojZ1HBtUylmHcqRqrEH270ndbz2J6iCOub7dAdU5cLUqaxJV5QwfPVIsoWwjckEDMTJusQL+9NNPpjejUAs9mzfLhg0blOKAoi9cgDsGKzcEKnMTrJuoEMMOWolaXB5qTorInHeMr/vcIxIXoQ2C6rQzSNSktSLtzvX+tyhPBz0h8tudIku/ETnlSpHqgZ9jqKQp5ijqNm7cqGx92On5Wbgop1HxQPouXLhQRXCgFjXbbvzggw+qgpZ7A9b+3r17m/r6NmyEGyAnIVDvvPNOeeqpp/wiJ5MyDsr4Zf/KT/PGy/q9W52L8a5gHsViNa/LS9OPwvg6yjlHO378mBw7flx9TeQYj8kyW96b8q2KOetUu4Wc2aqnXDtspCRUt+tpG5ELznsySFm8D1dVKmPg119/Lddff71qfopLy2wHiA3fUSZIVM3eP/PMMyqzBeUJJKprTqqN8EDruk2VFZ7BnUG7WmxVJ4nqjmxZtn2t+rp5Dd+LFEgpcihBuXLlDWuzG5AtCbLycuT48eMelUqQUBTmqAq92V28oYm28x/Yo17LdbLUxEGwpudmSXpOpspd9RVt6jeXKavmyIa9RkSC2djnUKLqfbjZYeVvVLOeT/tCK1H9URGXJniytutMUCa+nH8gupiiVE+SYyoVT6Kisq4Xn6iiMrYm75IuTdqq85hzjHOvvoeFBTOVqBCi7qDJVdcIDFTVbBfXBtevFdEUNsJDgYoVkEkrY7bZBOqxY8eUC4XO9uFEUDK+0NwA2ybEGE0PwrYjeXaySNp2o5kSdn5vmPWGSH62QUJ2vkQiFlj6ASSqL2jeT6RJL5EdC0QWfyFyliMPNgigxETpRR4u5wkqFIjV1q1bh0XXa9Sx/fr1U/EY5KQSmWV2BAfzdmI+yIbE2s972LBRGkH3cIQ/2Hd9JVCZA/67ZoGMW/aPzN+0XPUb0PNHUDWmijSv3Ui6NGknvVt2Vb0YYitFS0pWunLnHcxOU8IG9XVmmuxO3afmhMy7iN1ibhZdoZJy3O1J2S9Z+bkyf/dq9Xhr9ncyoENvOfeUATK4cx9Vx9mwURpUqcRChpNbCSL1s88+k4svvljOPPNMmTlzptSrV6+kN6tMokyQqKyKz58/v6Q3w4YP4CZ1StP2qtM4ClAGbLDTDYm6cud6OXQ4Tw3Wdav4vlJ0IDNFPbPqGlOxktSo7J6UhLjRiljs+p4mBRmORljBTBoa1zJugEx4UnMyVD6s63bUqV5LrSyTmdrVDxK1bX2jAzJ2Hk+5soGCiZUmUbUSFcuQr3moINXFzl8WoRWV7ghFTaLm5OWqCXRxSlSdieqqYvWG5nUaKxJ1m4NEZcIMEqsm+KRmDRT6c3hWoupM1AonZRRDoGbn5dgkailEWlqaUpmxyHn33XcrshPbrlnNk8gXRSnHucTEMxwy27iHkiVHA0wAScZkOKztkHtXGM+1WovEeLkO9y4XWf2n8TUkYiTHtUACg2SjiaVPOPUmg0Rd/bvIabeLVDYnzxRikgZoWOfXrl2ryETUM5CrJW09hMw97bTTFAFEYaczfM0CCnKI0yeeeELFfdB8i6ZWNmyUJnBds5h4++23q+72LJoUF5OBoOSJH0erOiH3cJ4SXEB8gkGdzpCnLrpLWtdr5td26HiuBZuWy/zNK2T59rWq5kpJT5WY8tESUzVGuQXTcjKUq2nC8hnqQd10QY9BcueQq6VdA6MGsWHDHd5991159dVXVbxSly5dVAY2i8ju8PHHH8tXX32lxhfAOPjiiy8W+nvO2aefflr9LQtuXD/vv/++tGrVKiBVKpGPNFDEIcX7Va4cmNvU7EV38ofvuece+fLLL9W9AtUsCloboUV40Oo2bLjg1JZdTrLrulOi/rPGIMbPaN3Nr6LTmYdKJm61ml5Xl6o6iFGyUT0hy/E7bTkOBLEOotTTZyWLCOxwk5nqDagNWX3WVhwzQT4lIfSuStRNDhKVMHpfwEo5qOEHMVyaoBcJtDLaFVpRmp1nREV4s7AzcfAnExWgSAAoUcGy7esK5fNahYrOCINiGksVIV04j0GOI3/YRukBhBCkCNZ6LPwo2nCNoGpDPWqGwhUbNGo5JtXhQKDSwRiiiYKAyToTYWxZYU2ggpQtxnNia89/wzU89Xnj604XitTvIhGN2u2N54MbRY65v2+dBKIO6rYXYYxc9p3zx3v27FFRUqitUR2Te0qR5i9ouAZhCamYlJSkCEUydCmwShLMp1gMoBEW4gW2ySwClTiD008/XR566CFVKKNIXbp0qSmvb8NGODWRgkAlA5XxaseOHernzPPczZc+nf6z3PbJk4pAxVGEOAEClUitb+8aLd/c+brfBCpgLGIuP6rvCHn7uqfk01HPyah2w+SibkOka4v2ao5K81zmpp0bt5FBHU9XeanUG8SyDXjuKrn63ftl4WbHwpuNoODu+EcyfvzxR+UI5l7OfRwSlXkg+bruAFF4xRVXyPTp05VCtFGjRmoMYEzVoPHaW2+9JR988IGKcWTRkdfMyzPqI3/BnJFFd9SpvP++fSfX56EE4zv7itgc1LJffPGFIneJ/WBOaSO0KBNKVBuR11yqakxlScrA7p3mllhEjbZoy0r1df92vWTdYiMb1RccyDqRhwrJ6A0Qo0xINFHq7oam7TKacA0U5FAyCSKXsmsTh/LFgSaJDWXhlpWqo6a/kyAmT0u2rVaWfl/JTV+gVaisRKNcZF9sctj52/g4YcMqFCwBHcnQkQeHj5xcmGOzArmHc6VqbGWvJCqEpC6efbHzu2btcm1BZi/bvkZ9j83LShTXWEorVCsUUSBWcTRt0xmxNkoHcnJy5Oyzz1b29Z9//tlpTYYsoZkORGowilQmvTSQoiEPtqySJilRR6A04hl1BMrbklYQ+oVURzRMgpcGS+vGOZpJVRXpe69EPOIbiVSKEzmcbZDItdsW/z+cZ6feKDL2fpFl34v0vEHScvIVKYJNl067nPM6/zZQoPSkmOI8R9GMBZFzvaQJ+SZNmjhzUrnGO3ToEPD2uBKoOoIDaz8LLKjXWYzg9W3YiGSw4ACBeuONN6r4OQB5wz1jzpw56ntXRSqCkKd/HqNqAwg25kw0jMKNdO8518ttg64MOGLMFUeOHFHOEBYjrz7nUqe6nLnjrwv+lrFLpqleCDxw943sfY5y/P27bqGKE+PRq2UXuWvoNYpoLekxuCTBPJ0FYh4Qe/rh+j1f83c8OK76oef4ZELr7FoWrXhmfkR0IQvEPFy/1g/mVuG070ePHi0333yzyvcEEJ/jx49XVvVHHnnkpL//9ttvC33/ySefqMajRNtcc801ah+NGTNGORUuuOAC9TcoV1Fo/vHHH3L55ZcHtJ3s265du6rzHgKTvH4WCc1ySQVCoHJP0A1XIVJpNkXjRcQC4RJTVRYQQTN3G2UFWEE6N24rm5N2KruxJuwgV3RO4tyNS9X3NJuiSc46WeW3ErV8VDmpUwyJWs2Ri4oStWhWqWteKgQXtvtgQIMryM49qUmelagH/VOigjb1DRKVcPnzug0Us6CPjbby70rdr+znTNrIRPUFWI5AvIdIhdKOSt6UqBWj1TmHNcv424rF5qEyiXbNEvUG1L/xlasqIvvzf39RRGzd6rWkmUOharUStbjGUjQ8cIVu2maTqKUHFGeXXnqpmgwyGdaTQkBjmmCJVBQ8NOcg0qekw/f5rJCnu3btUsQpNuRwyLIMWInqqUs9aplFnxtfQyI6bOzcy2ic5alw5AEppotFXThCwAFUILpg1A9dOLorGE0tGnkNiNPdi0WS1/lGooKWZ4nUaCyStlNk5S/yyi9rlXrm888d+wflf7NmJmxelDq/6dTL+YW6mQZlNMWAyCwpoLaF4EU1xLFme/zNlXNHoGo88MADkp2dLcOGDVP3CfatDRuRCNR3qOoYD59//vlC9y13ROr6vVvkP18+r6z0OJpqV6+p6iLmiV/f+br0advDtJgdlPLcR2hk4zpGM8+HrL1l0BUyecUs+XHeeGX/n7dpmfp9/3a9pVy5KJm1fpGKaFuw+X4VMXbX0FFyQY/BPs9VIw2MX9yXWCjFZcMY5jrmAcamomQnx1n/jPuk63jH10QScQ5wT2XscyVXGTtdx1Pen+x3/Z7MP3gd1/fjmOJo4L6KYjOUBOvhw4fV4vajjz7q/BmfESKQ8cIX5Obmqs+VkJDgXIQgFoDX0ODz4dbgNQMlUTVo6Mi+4nog95s5qdm53/4SqK7NpshIPf/882XSpElh03SytKN03sFsRDz6tu0pvy2arAhP1KIQLvvTD6hBm0Fj6uq56u/6t+/l943/QGbqiaZSDgu9J1SJrizly5VXOY25+YecariidnQaYAWLBo6O6LpDuiua1GoQOIlazyh2N+4zx1bnqanUpn2OPNQ6TXwulDIP2UpUzyRqjBwjzN9he69U3jOJSk6V8T++Z5mqbMj2veTPxVOdUQ+n+RmNEUyEAaStu4WJow47f9EJdpzDzm+TqKUDTApR3JAJyuq5O4t9oEQq5xXECwQMXbzNzGUMBNis6PbKhBsVYqgm3pYgxaFErdnC7THNWTNFYvavl2PlKsmaoy0kd9YsZyFHocfxK1o8UuiQPUYx4Kqu4UHhyL7D9s7PXQtHrepxLRr19+6KRh7sewoh3tOvDvI0l4JEpblUxwt9+x8iSbpfY0QbrB0rY8euVdZCiBLOeeIr7rjjDqXGMQPsHxSgvC6qVIjnklZgU6hT9GPtx17JNeyr8tobgaqBFZQ4A/YrhW04dVK2YcMXZGVlyTnnnKOujTfeeMPttepKpCLeeHbyB4pAbVG7sdSNryU/zBuvapUPb3reNAJVL0K2adNGRc54uocgIBnRc7DKQV2+Y538NG+CTF87XzYnGTVB//a91aL9uKXTFfl71+fPypsTv5CXLn/QtG0tKSg3YlaWIkshTXlAdAFNUKKELDrmBdKkSC+6Mob5NXY5mmq6ErmMq4yZOBfYXrZHj4s8W02sMlazTUVzPPme6Apf8PDDD6vFQ02aQqDq1yj6mvp3Zo1nLIgzhrMYztylpAhUDcbU77//Xi3EXHnllcrVFVEOpwiFvYdthG0uqm64U7F8RUWiQtpBoi7eukp1gYdkObOd+wBqX5oZsUJaJ957cc0AghoVmwoNpDyTqMEXxShRwW4vStTdKftVBhKTJV9Bkyc+B4R0SnZ6oaZVwWCvQ4mqIxE27TdIWn8iA8q8nd+hymSQdFVaazu/68+9Tbq0EtXXPFSNgR1Ok+PHC+SvpdOUgqFn805iNVwVtXy2ogpbrUQtSpbRERbQ5M1G5AO7FqQHBCkTd0/wl0iFYKPwg5zt06eP19e2Gigv16xZo9SB2L9QHYaTnc5vcG2mGZEtx+KbSJajaNQPisluW96TiseOSUbTQVK9dkOpU6R41ESpr4AMhUSFHPOncNRFY1G1Kw0iKBz5WhOqrsWjx/fQzaWSjOxon9FmiMg/L6p4g6MHt6omF+TAPfbYY+p8pjkExfG1114rZoF9DOlMkzL2HddCSapSOe4Uf1j7IYFY2HBXCPpLoALOpXfeeUdGjhwp5513nsqGjehFChtlCijyLrroIhXpgS3Xa4+GqlVVDvIN7zwkezL2S4u6TaRPm+7y/B/vqd+PvvoxObvrmUFvE/NOPW6h4iN2xBdwLdIYmEdyRor8OH+8/Dh3vKzbs1n97tLeZ6ts+29n/6mivy4Zc5eM6DFYnr74bqnncLSFM5hbMMahztUqUx58Nj2GMMbzNffacBrrmTNxX3R3b+R4Q9BpItiVWNXjIs8oPsPl3vryyy/LDz/8oBYKQ51xz75kfGW/MKahDKexoxXH2xcCVYOmV2PHjlUkL4uzH374YVidg6URNolqIyyhLeKEo2P5pijYm56sCMSvZv2hfje820DV1Z0iyx9o4rNcVDmpH1/8wB1fpboiUQ9mpTq3SxNXuuFUDRO6hTesYShRd7tRotJ0iqyhvCOHld2fGANfAbEGCbv9wB6Vi3p6625iBpIzDjq3DWx0KFH9CbDPLOMkKh3oIcQ5rw+rBYPCJCqqTJSo2vbvCYcO5/utRNUY1Ol0aVyrnkRXjD5pkcAKuH5GclGLkqja5n+yEtXYthxHBrGNyMXrr7+uCkYIFYie4uArkQpxxoSTYoDmVCXZSRX1KTly2KoiXX3KRF7ZEnetlobHjyqV6fhZy6RCxUrOIot81xpHkyR2wy6Jiq0sMWffL3WqGw6KcCsaAeSqJn/J+sP+jjqHv3dV4ziJVa28Td/p34bE1hBpdKrIjvkypGmULK1wiuooDCA2sd6TBWcmiaqBAptzD9VMSatS2YeQp1yfs2fPVmSQp+vTVwLV9ViTl4ca9bLLLpPff//db6WWDRslcV/luoeUo1mOL/EuPy+dJDuykyTquMjlXYfKI3+OUT9/5pJ75LLTzjWF1MWuzCITDXUCHbeIF7h76DVyaa+z5b3J38rEFTNk2uq5qo65+azLZE9qsnw3Z6z8sXiKykx94Lwb5aaBl4WdxZ85BapJlIwo3tk/elwIV8LUX2gVKg+cDK4KWz1GMj4yn+GeTWwMD0jVQD83YxP3bfapK/ie1/aG1157TZGoLJjRxFBD/x+v4Tqv5HsyTc0G8TEcexwWkJw0xjIzJ9UfAlWDY4Kdn7ETl8Z///tf07bHxskIr7uVDRsuxB8EKXYVkQLVSGpPyn75Ye44ZXevFhsnF546NKDXTnchUYvLRAW1qtaQ7Qd2q66X2Ka12k9nq0IABkJeFUXDmp7t/AxyjWrWl037t6vmUv6QqIAcIrNJVB2LkFgtQe2XnSlG06tW9XxTokIcou4tyyQqgEQ8dPiY5B89Iq7TVc4pRa4eOyrRxRSEWonqa1Opogikc2ug4FxmogxZevjoybmoRGeACkXU1kRrANvOH9n45ptv5Nlnn5V//vlHEW++ojgilcU0VAGoP1mJ92XCaQVKi/qUYpHig+KRvD4+Q9Mjm9XvjldvLGcNGqwKqkKfbcLb6JFEWg8RKUEC1RdwfmDzc7X+QaxqNQ7EBhlrkAmoYBtXPC4qcTPTv+aOCm2GKhJ1RPvKklehfaFfQWySB2wVWICm0MT2iCqVBlQUlCWhSuV6xf64cuVKpUKHSKX7cTAEqgZqpD///FMRP8QjkDsbidedjbIBVI0o0iEsWUxEZVoc6HL/0bQfJKpclDx24R0ybu4UycnPVT0kbj3riqC3CdIMQohtYQw1YyGCuK//jrxXLjv9XHljwueyYsc6+W7OX1IzroY8esFtMmH5v7Js+1p59te35fu54+Slyx+QM9p0l5IE44Dr2Ae5DUHHfZOxINQNhUoCWoXKQxOrzLFYHGa/MNcCjJ/sG9TK/pwv7FO6ytMUasSIEU7SkO/vuusuj//3v//9T1544QVFFDKWuIK5FtvCa2jSFAKSc/r2228XK4CCnDFHuyxOPfVUU5SxgRCortmt7B+cWOwPVKk2rIH/oRw2bIQIWvXJRDjvcL58MfM3+XXhJPWzK04/T6pEBxac7LTzR0VJneo1fSK5aMDjShwWJRHNgLbzQ87qjEt3uagQuoGSZFotagYOZDk+f9UE2Zq8S00KE+LifY4LgJTmf4Dev2URJzJCC+eiQtYf81GJ6rTzm0DmhwJEdLj7zIDPrFW6rrDt/JEPJna33nqrIo2KToD9IVIpciBSUYnoyT2Zi8DfCaeZQLGCoohiFAVgSWZRBgIy0iCxUArSARhbn87iO/vss6V9HaM4qFi3zcl5aVn7RdZPNL7ucZ1EIjhvyDdr3bq1KobIFyNvDQIyKdf4rAXZB2TNqhUqFkCPX8Wi5UCqUulcp4KkbS/cBBPCUBepVkKrUiEtUaVybH3efhPBOQOpy2em6IS0DpZA1eB/Jk6cqLLqXBuW2LARboAM+vHHH2Xy5Mk+ZSqSIf/Mr2+pa5bs0dPbdZfpOxar313V7ZygtwfScObMmSpPmXuf2UruDg1bycc3vyAvX/Gg6v+Qkp0mX836XQko7jvnekmoUl31bbj4jTvljk+fkiSH0y2UNv1NmzapxR3mKSygQSBCJg8ePFjdszhOZYFA9QTOCcZCGnXSzI+oB8ZM8reZL9C8CcUqDZ98AYsIH3/8sXz55ZfqNSA6acJ1/fXXq99fc801he7jr7zyijz55JPy2WefSdOmTRWZy4N5ix5b7r33XtWYDVs7sU68BtusiVorgNsIwpI5EWMPi7AlRaC6Ls6OGzdO5cb+8ssvQW2PDc+wlag2whbYxNfs3qRWWWdtWCw5+YcU4XTDgEtlUMfTA35dckH9VZBClGpLPyrQnLxc1WiK1TqzMkbpUF85Ola9Lvmvzes0LvT7JomG+nR7QM2lDBJ1S9KOk7I3A4UriaybSvmTh6pVqCgMixJmZbK51JHChKKhRD05K9Ud9P9iyY8EVKpQQXIPG4VBUWg7fwVPmai2EjUisWLFCrnkkkvkk08+UUVJoCiqSEVxgAqAn1P8lUSRg/oUy/TOnTtLvJGPv8UjVnZdjFD8QLZRSKMSOanDa8oWj02lZM1YZv8iDbuL1O0gpQWobVG4NGvSRAr+qSBRx4/K8Yx9snD33kJKHN0Yy/2LJIg06inV82ZKnfQVys5Phifn7UcffaQeoYA7VSqRAqGOmuDaIEeO+RPXMYpUFiCCIVA1+GyQIBSfELVWKZBs2AgU3333nbz00ktqMYN7iy/4Z/U8Nedmvv3AeTfJEz+OVvMncuxrF1RVzXi4pgIZdyAMcU8wlqJiswps21kdT1eNg3+eP0E+nf6zbEnaKduSd8tNA0fKvvQD8s3sP1VTYZoHvz7qMRnefaBl28MCDo4Rxj6iXFBTYtFmgdfubl78scQ6zqNDhw6KyISIZ0whoobFOsZF9qen8YXoFZStTz31lDoGnH+QsdodwnzKNSOYPHEcMswjXYFt/ZlnnlFfP/TQQ4qIveWWWxSZCbnJa1qdm8q8E3JZL0JzDhUXS2AVgarBuEpuLHMN4g14PRvmouwyFzbCHtjoAaRlzT3xilQiOD3YAHKdiUpmj69AYUl2JdmTW5N2OglAIgfMIgAZlBrUqKMs+3vSkk4mUR1KVJpLBWKpIQKBDFcmLW3rNw+6+D7oQqL+s2Z+IbLWF5B1W9ZVqEBnguYXUWVizVdK1GNHnESrJ+Q7lKjF/V24QCtr3ZGourHUyUpUYyJmk6iRByxx559/vloVv+KK4G2Hmkhlsop1i4l8SRGokD8QUhRd/fv3L7HmPf5M0jkeNBvSeWQULZC/xVryUrcazwluxo+Nk43nDsOlVKJcOYmqWlckY7d0alJTOjbs4SSgUdEsWbJEEdAUK5DQJ+3HVoMkescCefyqM2XYZ9+rrDIIlDFjxshVV10V0o/impWKcrqkYidQ/PKeXMc8U+QFQ6C6vi65qGSkQizxWW3YCAew8AfBQ/dsf3Iaf15gqPwv6jlE9qYmKes7ePKiu6RdneZK1Q38IVKZx2/YsEGpByFcsKqHas57VZ8L5NxTBsjo8Z+pvFQ+T5v6zeWTm1+UtyZ9pWz/N3/8mFy9foQ8e+m9UtnPpqmegGtlz549smPHDqU+ZdEFEpCxz+5mHjiY9/CgwRJEp55jENvEecWCFmNj0cZpWPc92fdZZHDF9u3FOyk59xlbSyILlPcmooqFV2I6WLBs3LhwHR8qAlXj3HPPVap3mtdx7/Fne2wUD/uOYSNsoW3yh48dUTcnSKaaDmI1UDBp0CRM/fgTWWjFAQK1aWIDRUCyWqoJK35mJhom1FUk6u7UJLe/A7tS9vn9uuw/CM5FW1cpy0ywJCo5TIccxB12frYZtKzruy0x81DZbiqlodXQ7pWox1RGaHkvHVsBDcdcowEihTiGIC4Kmmm5y0SNc2SiogK3ETnQygGKtMcff9zU1y5JtSdjCeQZBWgkqE9RmVI4ou4AKI4gnv1qDpG6zXhOKLJYlrZTdZ+HaFTW9dIKB4lKdAH7jOKQh1biQKiyj1HiQKRSOJKZpvYvCl1ie8qnyaoVy0WK3N9CDa1KpbClYQjbjnrGl+Y2ZoJ9w7Vk9rWDAumtt96SSy+9VCl+uT5t2ChJoNLDVkwmOPEovmL93q2ycud6VYdc0GOwssEzN+zfvpec2rKL+htIF3+IVK45som57rlWimYThwLxVaqpvNR+7U6Vl8d+oHo2vPjn+3LboCukb5se8u6Ub+TrWX/Igs0r5MObnpN2DVoG/F5kXHNv3r17tyL7uDczBtoN6MwHYwj7lgeZ4qh9mStxvqFMZd/7kgEcqWDsZx8w7hA91bJly2KvRysIVA0yUdn33HtYsCzJhqulDXYmqo2wV6KSnamJJk1gBgqIP525qDNI/VFzYlfnZggJ1L5hK1MaSrlrLrXbDVGqf5ecmeLMwAwkF5WJillWfuIH8o4eVjmz7JcWRdSz3pCeY5OoroRiUVUm5xYDKyguuk6rWOl8Glmf2XNjKQoGV1RxZqKeyNK1Ed7gOKEygGAix8osogQ1CflbTDTPOussRdS6ZqRaDd3ECqUFTQVQX4Qjgcr9g21kX9HJVneQJU4B4g8C0K/tzjl4gkx0xUYjq1x1oacbfWlFNUdDx8yTx2cKc4olzgdy9FDcsN9RepI/ejiuoUilWJHDh04oesMAKLBQUKPiJhORcyRU0Bmo7C/Uo+wv14zUYHHjjTfKqFGj5IILLlCqMxs2SgqQSRdeeKG695IF6Q9+cahQz+p4mhKXzFq3SH1/Ttf+zr/R2dUQhVj7vc2RGCcZL3FRcO2VBIHqikGdTpfv735DTmt1ipoHv/X3V8qN9/4N/5Xa1Woq4cfZL98oX8z41a+5H+MfpCk5lRDMjHUQxtzvUN7bBKr1wEaPOpN5Got0XAcoTLnX44QprXN5xlWuR8Z+ojK8fU4rCVTAef/222+rewR5s6V1n5cEbBLVRtiiVlVDiZqSleYkPMkKDQYZDgs5aFSznt//TwRAt2Yd5JSm7U2zl7gCOz9gAuEuM1V3KMfO4y/aNjBy7Dbsc6iJzMhDrXoiD7VxzfqqGZKvyMjVdv6SncCFi7W9qJ2fga+cg0jUZGppyUT11lhK2/mL5sBWddj5yYnVKmgb4Y333ntPdczmYdbqN/mjNJFCSac7obprNmUVyNui+QTv069fv7BUVLAvIKemTJmiJvCoTSneaQRBTldRS51P4B50yNEwoXIN91Z+utCXZlSr65FEdQUNSSCrsZNDrEJkT546TdKiG8jxguMi+1ZKOEHnCaOg4dxGnWY1ijaRotBmMYKMVDOJ3Ndee02d85CpxY2jNmxYAUgLLPzM6T744AO/Fq6I4Jq0Yqb6+tLe56jeEEu2rVbf921buDmjL0SqXoCEzIJADRdVWmK1mvLmtU/KI+ffqgQEi7eukjETv5BHR9wmAzucpoQjj3z/qtz44SOSlpNR7PhHTAHjH/sBRST3Yu7JZsSF2PAfnPMQixCpzEVwaBCDhN0fNw/zutIGzjWuMcZTSFJ344/VBKoGylgaTC1YsEBlstswBzaJaiPs7fx0ga8Xb+Sg7ksPjkRNd+ShluOG7nh9f8EAb1UjJLpWgj2p+90OQk6lqpvfFwdUouWiyinVqCZBAwXHBLAPWSX2t6mU67GoXiX8SIhQItqxGu4uH5TjBQqkoHRlonr5zEc8kKioV7XF37b0hz+YHBPyTzYhFi4zwISTrCnuhRCCOgNVZ6RaTaTSBAFVC02EevfuHXLrc3FgIk5hQsdnthW7Nt3l27RpE3yjjPxMEQhAEBNf2MqftN6w8rc6S0o1qjqUqFm+RepA9JNBRiHFI7dac0Ve7F78tyqswkkRwjVFLAU5jVxjdKq2avuKEqgaqFHpugzJQ6MXM8AxoAs6+a80MLFhI9QYPXq0Gg9/++03vxvcQCYS10R0WJfGbWXB5uVqjkSt0DTx5CZQ3ohUxkfsvFwTXHvhNn5xD7q41zD59q7R0rFhaxUbRmYqUWaPj7hdzQknLJ8hg56/RuZvWu42soZoEsY/VLaQpiggWZyxVafhA64BIicgU7nnEzFEM0AWfHEVlSbQVAv1M04ICEzXuWmoCFQNSOyxY8fKyy+/rLi5OxMAAQAASURBVIQNNoKHTaLaCHs7/8GsNGczqT0BKDDdNZWCnNKvH07QiltPn1PnogZCokL+6gzXYNWoyRkpJ+WhtqrXNKBjUdbt/DrHVBOh7kjU48UUsxGXiepQomrC1BU6bqNokyAm2HEOSz+TaxvhCyxMZBG+8847qlgzAxSDFEiQK64EqoaVRCrvjVqCSTA2+I4dOwam5rQIFIzYFbFjc51gKWdSTt6laTEDh9KM54qVRSrGnKxCbdSzdFv5/VCielKnNug+TJHZ8Yd2qXOZpmiQHeGkkESNStFHx24KPLMXJDwRqBoU1zQ6Q5FqVkGNEpviEUsjhKoNG6HCxIkTVffwP/74Q92P/YUWKXRubOSczlq/WH3fr21Pj/d2d0QqizeMEfwO1Xk4N1GimfAnt74otw26UsU6TV87X33uT299WZolNlROvYtG3yGfTv9Z/T33CXKoIaq5X+nxDwV6OMbs2DDAHI4Fdo4Xi9JEuaAeZnwoTcpUSGPOR+2i4jnUBKoGC+tffvmlXH311bJq1aqQvGdpRvhUATZsFIEmOVOy0qVu9VqmKFG1hRxyKlAlqpWoF5+onpMcJGVR6AiCXSmB2e3a1GtuSi7qgSyjoK5ZNV4279/heO0izUaKQYZuLBVbtknUSg71aL5bJarxXOClyGaCfCITNULs/BW82fndN5YCcQ5LPznJNsITqEEIsL/22mtV/pJZQEmWkpKiJtueVCVWEKlMdlesWOEkfmiKEC6g6EC1B7lLx3WUHSgJLcm40yRqUaJ08zTjuXUpt/K7ZsFmBzgPqddZoiRK4g7tlSH9+yiFMIpPclOx/IeLMhVyk6gKrmWUa2apQosjUAGkBwoyyB5dcJoBVLbfffedykmlyYYNG6FYTLziiivk448/VjbmQKDjsrTTa/b6RW6t/N6IVAhGCFQWcrp16xZWC4CeAHl644BL5dNbX1K12rYDu+WVsR/KS1c8KJf0GqZiUR7/8XW584MnZdLkSUrph9q/e/fuJZ7xasM/6CaNjAsQ/DRgI8N9+/btYbXAGAyYm9JclTGecQ23R6gJVI2LLrpIHnjgAZUVnp7uiGiyERDC/05qo8yipoNEZbCsGlvFlEzUZIeNvVy5KKWiDDfUdpDFKO2y83I8KlUDUaKCNvUdzaX2BUeiHnTsRyY6EHgoBP3NmE135NPaSlT3hCKKzCitRPVi50fNqScakWLn1585/8jJxPHR40bR7C4yQ2cCkwtmIzxxzz33KILkf//7n6nFKJYvJqHF2dLNJFJ5DRRxTDRRS6BoCweQy7pkyRKVX0mxrC37lk7Gc9NOzkM9nCuStNb4unlfKfWIjjOeDwe4iFO1jrH/CgqkXMZOpcIZOHCg6hwPsYeSmBiGcIDOGoaQIMIiNTXVcgLVtaiGDIHsodg0q5A+99xzVfE4cuRI1ezOhg2rwNhx2WWXqcVEiNRAoZWoNIaFgFm3Z4v6vkfzTsX+L2MD5C2qcq6lU045JSIIVFd0aNhKvrz9VWXvJx+WXNTTW3WT2/pdrn7/6/Ip8vWmydLplM6KJLYR2cByzgIeiknGDNTFe/bsCZsFxmCgc/wh/JOTk5WjKtQEqsYTTzyhFhZvuummUrFvSwqRdTe1UaZA/k2NKtUK5SN6Umj6ir0OEpbGNnSWDzdUiY6VarFGobY/3dEJ2QWNHUTl7hT/7YSgTX1Dibo9ebfbPEpfoTNVdUOjdvX9707NhAjEl3ESVTeWQoGprexamcp5z371RgTpY8DkuGiOaLg3ljpyzPdMVKAXU7LtTNSwBEovMlC///570+yCu3btUpZEFKh0QPcFZhCpqDwhj5jkYm8OOlPUBPB5INsoLLgvQMARLRCSibg7Jer+VUbDKchBrdIszSDKIBgSFVRzLDZmJTnv23SKhgjH7rtw4UKlLg4HhQh2S5TNNH1iMYGFDKsJVNf3pshEBUv0gVmF3pNPPqn281133WXK69mw4Q6PPPKIOmeDWUxkjrw/46BTicq856hjjuiLkw4LPy4K4jH4mmZLkUiY8Fk/uOk5Obvrmcq6/9Jv78mepL3y4kX3SkzFSjJzwyK54LXbgo57sxEeYG5Tv359Nb+hMSNKauZiEI+RDBYDmb+RRQzhz7hWUrEFzDuw9TPXoNmdjcBgk6g2IsLSr+m5lOz0QkSTv0hKN1QeEKjhmpVTx6FG1ZMnVzRMMAqwfekHnF3M/UHtajUVaclEbEtSYAWRa2MpTYS2b9jK79dIz9GZqGXbekPDJK0O0Nmm4PCRw1KhfHmH2tcz4U3XUp2HGq7ntK/NtJhk6Em+ezu/QWK4U2nbKFlgS77tttvkiy++UN1wzQCTZorAnj17qm6u/iAYIhVrNSpPrPsoeUo6P46OyhDJ5IVBKqGKxZYZ0s7K7kjUvY7mHg26SpmAJlGPBLGIE+cgm7MKu0k4x2iyQSQD6k9s9KgwUR2XJBhTaMyCgoZiluYf/hAxgRCortcwiydk/q5bt07MAOTst99+K+PHj1dFpA0bZoP83c8++0zl7wazwKWt/MR8sYCsu9LHVoyW2EoxPrkouOa4dlkIdNdsKhLA9makpcuAWl1kaLNeUqlStCw/uEnmbl8pn9/2qqoT1+zeJOe8cqOs2LG+pDfXhkmgLqLRIM3ByOpmPNTOoEiDawYq16K29rNoalUj1OJABBSCB9wZELo2/IdNotoIa9RyWO4hkSCTIFDJSA02y7OaQ9EWjqgbX6sQ4esKJguQZewHiNRACiKtRg3G0q+VqAeyDGVw+4Yt/fp/Bo90Rz5tfJWyrUTVRGpRSz8EI9mh5cuVk/yjJzed0jiRhxoZVv7CStTCCwGu37uz82v1uN1YKryAygWL7M033yzDhw835TWxPEF+ko9Yu7bRWNBf+Eukcl9CrUOHe+zEWORLcmGC7SXKgHwwbN5MvFHnlUjmW64bEnWPY+Jd/xQpE6hU5QSJGigRgWoXZLtXTaFSoXkZhSOEH6pj1CtcYyUJrkFslvv37/c5qzQYAlUDBTjnPfl4kEBmAJXT119/rdSokEo2bJgF1NrXXXedfPjhh0pFFwy2H9itnlvUMXK40xwRWPEOh563RTcUZtj5sfAzhrlrNhUJIHYD4gwCjfiT529+RN6+4Wm1oL5ixzp5ffwn8s71z6q6JinjoIx4/TaZuHxGSW+2DRPBAiNuCNwaKDj1AmNJj4m+wl0TKT4TcznGUTMja/wFYzqqeaJHmHPb8A82iWojIkjU1Ox0SXSoUhkoAwWvA+KrhG92Tp3qiR6VqKzMNaxZN7hcVGdzKSNrKRglKhZ0SF06ZvqD3PxDTkWxji8oy2AfFlVmojCtWK6CUmRqy7476N9FR0hTKVfSWBPAGtqq5tHOrxtL2UrUsMKDDz6oCMuXXnrJlNfDskezJLIiKZyCga9EKkUlzavIj6NBRSCdlM0EZBUEGkU5hTDqBZovlBgOFclEZdK/b4Xxdf0yokSt5FCiQkAcOTmX+ZlnnlGEheuDbvOFUNW9EtUdechxR3WM+hgiHUKyJBttEKdB0cU2QNJA1lhJoGpAAKFGp5twsNmsGsOGDZM77rhDLf6Y1TjLRtkG1wP5p5deeqlcfrmR2RkMDjsWlStHG6rTdIcS1RuJyviGuo3FGJ0rrBFJRCrbxgLiv//+qxYNUehDSrOwdHrrbvLFbf+TxrXqq3rwyZ9el4fOu1kGtO8thw7nyQ0fPiLvTf42rD+fDf/husDIsaUh4+7du8P6OLsjUIs6LXCb4Lgqqc/x2GOPKffY7bffHtb7Mhxhk6g2IsLOfzArzdl0KZhcVK1+rBUX3KQ+NEpU92RxgxqO5lIpgZGoresZXT437tsa0A2Tpj6QoFpRyAqwO9WgN6TnZjnVk8XZksoCNKnoaueHYGS/osDWln13yNd2/ghSourPe6SInV9HVEA+uGuAcMLObytRwwW//fabUnX98MMPapJrxqSTlXkKvpMIKIuIVO6DEDRMyCErS7K7LwQyk24aR2Hv7t+/v9StW7fkozqK2vlTt4jkZYlUjBFJbCNlys7vxdJPkUd3Yf1ANeOeRPUtv49zEcUK5y/nJ82nKMhKCrrwQ0mDQozz1UoC1bXhSPv27RVBZBbp+fzzz0uVKlXkvvvuM+X1bJRtPPXUU+raHDNmjCmvV1BgLJiUczQYTXPULzU8iEAYxxg7ULdh4Xc3h4oEIhX1KfdNFjS513Tq1Endd1zRJLGBIlJ7tzpFzZv/+9s7cvnp58q1/S5Sn+m/v70tL/35QVh+PhvBgQVGFtVoPsW8jTkdc7tIIlA1mDPjtMBpVFKuCBYmvvnmGxUXRRyXDd9hk6g2who6PB0StU51Q4WTnBm4ElVnKfoSyl5SqOvMRHVv16+fYJCoe9MCC1HHGoRFHGuQtuX7g4OO/4Hc43X8tfK7ZqlWtVWohVSkJ9n5y5dXuaiu5GpR6N9pNWskgJgCd5mo3ppKgSrRlZ1Evo2SB4XYjTfeKB9//LFSjZoBMhexaZH5aSZx6IlIpchCBZCUlKQIVF+bV1mlPkVdwTbSVIFM1hInTzXyHMRdjINg3utQodbrJBIhDe2CBjnNFRyLfofdk6iQi5De+kHumFs7v48kqkZCQoJSpWKrh0gtSVUqRRckTUxMjCJSXQtYKwhUDRpwsU9RqZvRkIN7Aos/ZFf+9NNPpmyjjbKJyZMny9tvv63OJbOaEOrru5xjDEjXdn43zVj1QiANEfUihyeEK5Hqqj7l3sEC4kn3TxeQEzvmmsflgh6D5HjBcXn+9/ekW7MO8uRFRtO4t/7+Up759a2w+Xw2zAU5qcyTmCPh2tmzZ49EEoHqLrJm69bAY/aCAc4riNS7775bObJs+AabRLUREUpUyD7dcCkYO39uvpGhUjc+sIy9UNr5PX3O+g4l6t60wDoVolhsltgo4FxUbeXXneO7NmkXMJmt7dllHdFuSEUUplqJqtWmpSUTtZKDdClKouqIBz6zO1R2qJaxbNko+UniDTfcIJdccomyL5oBirpdu3Yp5V1R5YkVRCr2S/JPaVwDgYoqrSTAdmj1KepbimCzCnHT4FBFSVT5wk2lgshDhcjGypaSkqKaeVFAQMCRS0txz2Qe2zjgZzQX4pm/gazjXEHBQZYX+zAkxbK29HtQotJgjcxNFhWuuuqqkzvaxznmHjnJAZGXqDEpyvjsND8rKVUq24IaiGtmzpw5auHDSgIVMN9AfcR70wjDjOPNQsUnn3yirIwsYtiw4S9odHP99dfLG2+8oa5Ps3BMK1Ed8yHdbNM19sj1vsM9lGvPl2ZW/hKp/J7Fa2qxHQf2yLo9W2TpttUye/1i9bw1aadqfBXowo5WnzIGaPWpLw0dmSs+PuIOueJ0I4v9tXGfSJXoWHnx8gfU9x9O/V4e//F1m0gtpeBc16pUssPDQZXqD4Hqej0y72XOU1JkMJEZd955p1x77bWmLFKWBZQR+YCNSIXZdn6t2muY4LDUhbGdf79HO3/toJSooG2DFrI5aYes2rlR+rbtGVCuLJMXJistHaH3/kBnWsbZJKpCJYeK1JUspZlaRSeJWtoyUU/OgNUZu96UqDr6QcdJ2Cg50DgD0uT333835fUg0lDSMJG0kszURCrEz7Rp09T3EKio6koCKGAhhLBto6oIO/LUCUcRqpWxKY4FuNqerfwQmxAMFBOQbK4PCh1+DzFGkcH+50HhrPNEsaPqyTx/y9cUKBTEELC8hn4tvodcc30tHnxPgQKpx/dBK3srcm6mihw+OZeZcxc7HA3JsPI/++yzKl+XrvZsg/H/juNbJA/aH9SoUUOptCA/UKUS+0BeoDv7rpXg/chdZCECBTXHhqLRCgLV9T1Rwc6YMUMRR3z2YHHxxRfLL7/8Irfddpu6n4WN+ttGRIA4CEicm266ydTXPeYgJHF8gRpxho0/LdvIRtWACOVaYByrXNklcsRHIpWxELCAp8997rE0tqLr/Zrdm2Xdns1OB5k38P/xlatJjSrVVJ3VrkELadugpTSuWc/tdcX7QJyyQNa4cWOlyPOFPC36nvedc73Kjv10+s/y7uRv5LozL5ZXr3pEHvruFfns31/U3PLlKx4M+T3SRuhUqaiWcRWhSuV65GeRQKC6uk0ghCGCmZcG2lA1GDBnGTdunLz66qvy6KOPhvz9Iw02iWojYuz8tR1fJwehRNWZi41q1ZdwhavilglG0YmHVqLuS3dv9/cFXZu0lXFL/5HlO9a6fQ9vSHFM4CC6OjduG9CkRGdaYsexcSLPFOJU4/ARIxMV9QE2d1Sa7hSaOgIgEjNRDx9zn4nqSYmqSVRvGbE2rAdZZQ899JAiHMzIDyXjkIkjeZJkH1oNijSIWhSMbL8VqtfiACkIaQzZ1rFjR1VAhjV541TyOLYxfZfxHN9YPZGNiZUU0lQ/ozKFuKSjLuQwUQkUOq4EJw9vn5v9NGHCBLWPPB0nxjAIVndELcUMWaIca96LbYHk089sl1/7XStR3dj5zz77bOfXFHGQqigdsYoTe6Gg723sTxRlHu51xQHCmOsFGx4kJucRjahCnefL+M97op5hX4ZiMYLjyL5Fict7Y/EPFlix2Z/fffedUhDbsOELxo8fr8ZBFkrMvn9r9aTORE1w9HJIdTSYAijxGUdQb3JP8xdFidRKCVXkz8VTZdn2NW5jk5iPEqsEYVk5OlZiK8ZI7uFDSoVKrwO2ma95bE3eJTPXL1L/h+Cibf0WilRt16CltKnXTI373Lt4Zvu9WfeLA/v+tkFXqm3Dxv/FjF9lZO9zZPSox+T/vnlRvpr1u5pvvj7qUY/zSxulQ5WKIhtVKs+Mw/4QmSVFoGrUqVNHbTPzYZo4OhdfQwTG788//1wt0g4fPlzNu2x4hk2i2ogMO39WqtSNTwxKiZqSlS4FDjVNs8TQr1D5S6JCFGXkZp3UiVNnovK7nLxcqeJotuMPOjRsrUhQyOndqfulUU3fO1HrVXCyOrsEYOV3tfPHOTIuyzqcdn53jaXKl3eqqJmIloZMVE+NpYrLRGXSDnJtO3+JgYkihBBEw6BBg4J+Pd0MA/K0aVOj6Z2V4P1QfjLRHTBggLLQM2Fl8q2vNasROepTd0rUclKQlynHc1LUubByS7Kkrtglubm56nNogrJRo0bq61AUMBTQEKw8PBUdkKwcc8hdHpCOEKs0dtDbXLNmTVXIez0PHISGM97AC3hdlJIotp0o50IEHz8aMInqql4pSVUqnw0VHIpbFGXEL1BAmtFkzhs4Xl26dFEkDJ8/2GuI4/7BBx+oexvXJOS0DRvekJaWJrfccouMHj1adbc2G5qU1YvLCVXiC7nBWKRi7ML6HgwByT2zZrN68uq4T2TvoRSnmjWmYrQiPTs0bCXtG7aSZokN1dzNE1nMQn9Gbrak52RISna6bEnaKev2bpGNe7cpQnbJttXqAaKjKkqDSgkyqPMZclb//qYtZF7dd4SKfXrlr4/kp/kT5LxuA+Xt656Se754Tn6YO07NOd+89km/m+HaiAxwbqJAZSyHSEWVSr4+5GS4E6gaLKgzNyH7GyLV6rG0KHB6/Oc//5HrrrtOjeclITKIFNh3ERthjVpVE5z23aoOshDiz5Mqzxu2Hdjt/Lp2NaNJVTgCRWFClepqtXl/xsGTSFQmCATLs+q7Jy1JWtdrFtB7MClasWOdLNu+1i8SNcnR2AuiK5A8VGArUT3Y+Qtloh5RDQW0+jLfA4mq7fwRlYnqyc7vyPqCoHeH2ErRzkxUO+OqZADRAFny559/mvJ6ZFyiREFZZrUSk3OGiTXRAUx0IV6w9tMcJxREKpZzFEsoIyNCfeqCguPHlAZ1565dsmvHj3JKfr4UxMRL1Zp1pVELg4QMleIjUPUxhCMPd8Qq6lmsgChqsdFRdKFwPOkzFTjyCH2Yf5DzR6OUq6+++sQPy1UoTKJK8PusqCqVbE/OZavJ+aIZqChhFy9erK4nri+riy+IevKMWQhhG4Ilji+88EL5+eefla3/jz/+iJhr00bJ2fgh8slDtbTJrMN1lhBn1ALM/fPy8xTJwjWA2j1QkG/68T8/yto9m1VdlZ+XJ90btZerB18irerShNb38ZC/TYirrh7N6zSWni06O0ng7Y4cVd5n7ppFsi8nVbKr5srWRb/JxK3z5Mx2p6poMTOa/l7ca5hacH/217eV44754rs3PCN3f/6s/LpwkppnvnP9Mx4X621EPlBUMgYy12JuR8QOi4tW3NPNJFA1yFaGSGVsY24c6hiKZ555RsaOHSv/+9//5PHHHw/pe0cS7HAQG2GNuJjKzkE8Kqqc+poujKhK/cWug3ucdpRwz8Wp48hFTfJg2a/nzEUNrLkU0ATo8u3+deLbsn+HM5+pdvXAyGidiaq7rZd1OO38hZSo+YX2kafmUvrnkZWJWsGpPHUlQ4trLKUJZf5HN9SyEVob/8MPPyyffvqpKTYjCBCIGCa7/uag+QvOGQhMVKAQLppgKtpsCqLTCmAvh1xCvYQClsI33Ekatpm8PYr1A8nGWBRVrpx0bGjY86s0aKuUj5CO4UygFkes0gQKApDGCigqIYTplDtp0iRlGYcopEBS9yrd1EU32HLBAw88oLI6+V+ONaQcBOcVV1xx4o/KuxCLReJMgoVWpaJwZjtSU40mkFbAXRMp5lU9evRQ5wYKFqIYrAYqPIhvFmPMALZ+zvdvv/3WlNezUXpt/BDtH330kWX3ce060/P8+CqGXZ/70Kz5cxRRxOJJoJi1fpE88v2ritikLhrWtZ98fNtL0rdOZynIyHfGCAQLVJ8t6zaRIR3PkD41O8hdp14mz15+n/Rtf6p6310p++Sb2X/KrZ88IU//PEY1qgp2kfzsrmfKS5c/oIjSaavnysx1i+SDm55T3xNXcMenTzvnmzZKJ7guWWQgK5iFf4hOs+d3VhCoetvJG8fhQ7OpUIPPQb77Cy+8oOJCbLhHeDNJNso8uJFUr1zVaQFPdNj792f4nwe6O9VoxFQpAhR7dasb0QUoUd1B56IG01yqa1OjiygTKG+Ni4qCFWXQpl7zgN8765BBotpKVClkxdf5pkzudJMlrT71RBrmRWAmakUXIsFVjVqcnZ/9pAuW3Hzb0h9KMFm84YYbZNSoUXLWWWcF/XqQlqjWKAIDyXLzBxRkNK4gI4uJbtHmG1YTqSgdsVrzvpB0/jT/CDWwiEKOsb2TJ09WJCqNjBISDKKMoqR6QaZEoUuNbySlbr5RvbpSrZx55pkyZMgQpRaG+GZ/TJ06VfLzjJzAAjcEA6oXCFP+f+TIkcpSOH/+/MI5v67/Z0ERD2mLOg5yGyKX4xcKAlVDE6lcU5CRVnf5hQjn/VD8JicHvqiswTFDbX/PPfeoyAcbNoqC+8HNN98sb7zxhiU2fo368bWddQBzQuZFuh7am5KkzvtABCEoQ2m29MaEz9W8kliu9296Tm4ffJW0bNhMjZHcN4gIMcvxA8nEPZT7woAz+8uZHXvJQ8Nvls9ve0W9b8eGRoO4Vbs2yvO/vycPfPOSzN6wRM07AsWADr1l9NWPK5fW7A2LZf6m5fLpLS+pSIK/lk6TR394zXY0mYx3331XxTJB8KOgXLhwoce/XbNmjWrqx98z9o4ZM8atIlI3mtQPGqD5A8YoxnPmNrNnz1bOp3AmUDW4VtiHO3fuVI9QA3HDvffeq2z9oVgQjUTYJKqNsAddHrWFpY4jFzU5w3+FhbbExEaAYs+pRPVAojZwkKh7HMRwIKBbJpmzkFjY+n0BOa3k04JTHCRsIMjJd9j5Y2wStVBG6DGj+7S29TNh0CTqocOelKiRl4nqSpJqC7/62kGiesqrYn8QZwGwaNkIHT7++GOlRMXeY1YOKoRFKHJQUQZSFEL60FDKHawiUmm4w8S9WbNmKpsrVLmr/oB7DtsJ6TZt2jRFEqCUhUQkkwtC7kTERpRLU6nSRaIWBYUg+4FCZtiwYUr1GOXIQl28dKkiEzlfNH744QdF1PMzCFW+b9GiReEXZRFI70tl5zcf3CdR17LdFKoosIMhI3wlUDU4xynAAHZEq4kKlLccG+4pqKeDxYgRI1STsDvuuMOU7bNRuoDivGvXropcsBLMz5krQaDqXhC14wy7e7V6NQPKSiRP/r+/vqNs7uCSXsPkyQvvlJqOplWuzabMIlJZjEDRzwJcUdcJPR0GdzpD/jvyXvnwpudleLeBShBA/Nro8Z/K3V88K5NXznYusPuL3q26yitXPqzcTZNWzpJlO9bJu9cbxNxXM3+X18d/GtRns3ECP/74o/zf//2fPP300+pezGLe0KFDPS5uobJknHr55Ze9NgdkoZ1zSD+YTwUylnNOc26b4dKwmkDVoBkn1wwxVFY6SzyBY8l85rXXXgv5e0cCbBLVRthDr7xm5GRJbUdeTlIASlSyVF2b04Qz6jgyWzXxWxT1TbDzM4k4rdUp6mtWfH3Bkq2rncrBtvWDV6IS12DDIFG1whJlwAmLfiUV7q9/XhTK1u7MRA3/xQEN1BNFmyYYXzsyUb3kcGlLv02ihg7Y7h999FGlMjDDxg8RQ14khajVlna6F0MkEZZf3LabSaRq9SsNpFAMtWrVKuzs+ygz2DfY1tlWmpNAnOqu8oU6retCms+Q7lBFxDeWsgIKfwq9ShWMe1OjJs1U9ihqXRTVXCM+kQ0hVD6hgEWBQxGLIhbbu9UEquv+4poj1w0ixmqgGOb8NYu0RWX477//ysSJE03ZPhulA8RUQBa9//77lt/PmSfphrq4ziBsEisZro2NB/xXmHNdvP33V7J690Y1j3r4/FvkyjPOd6tmNYNI5X+I2eCaJC4FBaG3fUYe6vX9L5GPbnpBLjvtXFUf7Es/IB9M/U5u++RJRfy6zhd9xemtu8l/L/2Peu9fFkxUvSSw+oPXxn0iX878ze/XtHEyaLCGQpuMYDI9UfTjuvnss8/c/j3k4KuvviqXX365VxJSj736EWgTNRb3OA+Zi7FgvGuXYzE4TAlU13G8Xbt2StXrumgbCvDZOI7Y+ktCDRvusElUGxFDoqblZjo71ydnGquy/kB3tIyEjvA6XF0Tv56ykvalB2df69O2h3petGWlUpkWh3mbljknMTUd0QqBINuhRI2zlagKTO60khRSVBPV/OxEXurJxwcVp851iiQ7v6satZAS1dlYynM+pk2ihh4QqNjQzz33XFOs7RRW2vJrJVy7F6N69QVmEKlYmJnwou5kv3lTWYQaFLYQy1it6VyLGoRjQUQDitNCxKlbRIlk7jW+rN5AyhwcjaXq1quvstbIIGWfcbwh3SAdvJ4zZF3r30fHWb65KK85ByFKsNNCalpNoGqglINIJY+Oa8HqMRTlE1ZNrP3Bgpzf559/Xtn6Q1242ghPcF3feeedajwMppmTP9DRXbsO7lWLNT1adFLfr9zp/8LEzwsmyoLNy9Ui9VMX3S29Wnb1+vfBEKmMgWwv/8v9p379+j7/LzFfkKgoU68782JJiIuXtJwMFUFw71cvyNJta8RfDOncV8UHgE+n/6yEC/efe6P6nlxYrcy1ERhYoIMsHzRokPNnjDl8z8JDMNi0aZM6f1CtXnXVVUGReYwTuEMYl8j6ZBHZn/M61ASqBp+dOSzvHeoICuY5xC6gMrZRGHZrOhthjxqVDTt/Rm6m1HZ2q3Rvc/cGSFhQrbL1hUuwqFXVIFEPZKYWk4marG6oga6It6zTRBHTxAYs3rLKSap6Uo/yN5pEreEIuQ8E2ToT1SZRnWBSB5GN4jTPoS4tpFB1k1uriVUmK5HWaVQ3LXAlHE7Y+T0rUStXMpTkuYfNyTWy4R2Qbd99952yBAcLJqB0D6dLKjmbVoIMp0C7F2siFbUCRCqKCV9t+BC3EGoQSFjhA7FcWgH2PcoLCCZIIfZJ586dfe/g7qpEzTPGUon1/Rhix9ydsk9SstMlNTtDMnKz1AIQrxrlWBxBecSYwCIiCiy9YBJWKNJYCqKhY8eOSmWFhZ/9SyMIYioofE4qsvKzTuzHiqFZ0NXZaqiNIVIhzevUMeYQVhGorlZ7GmRAqEDo+vv//n5OlEYU7Xy+YFXzt912m2qih5XR7lBs48MPP1SLENj5Q4UGDtfZ4rUrZFiL02TwqWfKWzO+VSSqP3P/hZtXyA9zx6mvbx10hbSp38yn/9NE6pw5c9T3xalJAQsZjL2MmSjhAyWauP+f3/0s1SRq+pp58v2ccUqR+/zv70qP5p0Uwapdeb7gkl5nS0ZutlK2kgf71EV3yTV9L5SvZv0ud3z2tKppzmjTXUIJjiEEJDEkjMvsO575njkM4zZ/wwPnA+Beyr7Vji7mGCzk8WBf66+5H4bK/YITg7l80XGF74NxIjBu0eCInHGs/M8++6wi5ZmPBnN/Z5GM+RnnKYSoL4v6JUWgAo4jzi0WahmPUdOGEsR4cQxw3uBWsmEgsqpuG2US1Z0kapa0rmcM/AcCUKLy/yDe8XrhjFrFKFHrxSeqmypqvPTczIAJTV6jT5vu8uvCSapTpzcSdcqq2SpPqaBIVm0gyMqz7fzuVt8zD2WrxzFHfl10xWhFMABNrLpC/8y14VKkANIX0thViVpcYykQUynaa0asDfOVNw8//LDK9AwWuoM2ikcroTNXg+leHAiRSiHB3zZo0EARa4E0/bBiX6AChEBjeyCwaYbidzar/ix0lD9s3L+lkucFyd2p++Wf1fNk7salsn7vVtmStMPvXDvGahb5yh8pkH/SVkrzOo2kee3G0qJOI2lau5EzH7kklKhSJHIEyyHEKeQ0Sl/IVBpRoXrh4SzQ8h0EdEw1g0gNERgfsFhCanKOQoawXcWNG8EQqBoosSnAKFghVYpXOwcOnbPMYg3FdjDjItcIESaoqWioFyr1oY3wA9c0RPr3338fUvKkXcOWcmzeREWaPnHZ3SLlo1S+JwILrO6+kIgsXL3595fq63O6nilndTzdr23wh0glT5vrnGueRTozxkDmgyhJz2jTQ36aN14mLP9XFm9dJcu3r5Xzug2US3qf7fNYcEP/SyTrULZ8O2esvPDH+/LiZfdLSnaajF/2r1z3/kPy+/3vS8dG5s9PIEYzMjKUE4dnHCCaOGWMZvzQ5KfrQxOl+gGRiJ2dn0Pq8YCE5TWTkpLUa/Jg7sbfaGKVBSyaJnIP59lqF5BZIJtag/NJRw399NNPcuONhpI4mLxRiFRIaRYXe/fu7TEzvyQJVA2OGWQv1yHjXEKCwROEApDh//3vf+Xuu+9W+awl8fnDETaJaiPsEV/FWG1Kz8ly2vl1yLqvYJDKzjMs5FhDwh2JDiXqQUcTp6JAoUgQPCQruanBqEL7tu2pSNTF21YrRarex65AIThh+QynUpAV4kBVQq7HwrbzF46toFGYVmiB+MpVnQpU90pUnYcaHmo3f6BJHNeMK61KpUjwBLuxVOjwySefqKLooYceCvq1KB4glrS12EqgfEAxxAQ5mPfyh0jFYsbkEvI0FM2yfLXto4qkyILEIjcyYFIp2rFolpt6QpVaxI7OAtD3c/6S7+eOk/V7T7ZUM2agMmW84t7Gdc72sK0s0OXk5UjmoRxJzjgoh47kqwVCHmDtwW1uGyxCrLar31I6Nm4tnRq1llZ1m3qNAwkaukGTQ4laFHweVC48UlJS1P6nIRv7n/OinFaiRgefLRwIINApFFFLc414yyU2g0DVgLynAOU64vWsbLAGyYNih/sN7xsMTjvtNLnsssvkvvvuk99+s7MTyyoeeeQRGTBggGowF0q0rd1M3b+TyqdLVIVyKvu+Tb1msnbPZlm5Y71PJOqvC/5W8yXujag3A4EvRCr3O7KXudf5skDjL2iySmbq4M595PN/f5Fl29fKH4unyIx1C9Tn6tOmR7Hvye//c/Z1knEoW1n4n/hptLx61SOSlpOpFvyuePte+evBj6RpYsOAtxNilPmOfkBwojB1JTKxp7uqR12bbXkCrhpIVMYRbyQo4ylxCpqk5RmHDMeHeyLfa1eAJlV5DoZYhdjlng6R6wq+NzPOiO1kEZ6xyQzwmSFPsfbTsIpzHHI13AhUDRxc5KNC/BIlFEqnE40WcWaQF8790IZNotqIoExUiqnajoZLkIcQTd7IFlfk5h+SI46cSTpehjtqVTO2kYEd9Y47ZR5kJ/sBQrldg8ALhca16kvXJu1k+Y518seiKcrqUxTzN69QmbKarEsIgrSlWD7u6HBsK1FPoHqso4FabpaTWIyvUk3ScwwSIZ8svSI40YAq8lYFdfMoVxLVFyWqnYka2mZSX3/9ddDKMchxJqEQGkzYrQSqSzIYzbLS+0Kkbt++XWVroZKgCUBJA+Ib8o7ijYIDFXHQpBXKSZDjiNKBnK5gnBeMQ29O/EK+m/OX5Djyronr6NG8o/Rv31s6N26r7KMNE+r6VFhTBELIorTafXCfTJ71jyQ2ris7U/bJ1qSdsiVpp5oP0CCEx6z1i53/iyq/bYMWilDt2aKz9G51ijSuWc+cgh7y+Ijx+aRC8fdc1CLkiVFIcjwoYLtUy5REKZCoEiJRdSHG9cE5TY5dt27dTlpsMJNAdbUjUqiy2GBlUzkICTNt/XSPhhj6+++/Q06i2Sh5cB798MMP6hoOJRg3923ZpeqBnKN5smbXJunevKN0btJWkagrdq6XYV37eX0NFKtTVxnE5zX9LgxqgckbkapztkOxiMg48sSFd8qSbavls+k/y/6Mg8qeP3/Tcrlt0JXK1eUNbPMTF94h2Xk58u/aBfLoD6/J66MeVdmoa3Zvkivfvk8mPvKZs/YsDhCWzJew29PETxOm3DdRCxLrEixJ6Q/4fLwXD3f3PkhUrYqFWGW+pLeZ+yWkJ2OXPwvQzLWIbZk2bZqMGDHCST7y/V133WXaZ6MhKePo1Vdfber+IjefORLjE2Mejo1wI1A1OJ+43nBbkO0aKhci4yrODMbAK6+8Ui3Kl3XYJKqNsIe231M0ob6EOIVApXBzp5p0B/72uEM9AzEVCTmw+nOmZKU5O3S6gs/OgI8SNVhc3GuYIlH/WTNPRp52jsRVqlxI7fjd7D/V150at5W5m5ZJQlzgREiOQ4UKiRZJHeWths7qVSSqQ4nKeZDnsK27VaIeddj5I1CJ6iRRCzWW0pmoNola0njsscdMayYFGcOE3GobP0UBE0uIzmCJE1+JVCb0KF9RM/javMoqoCzEtk8hx0SbCbZphVuMixIVRFdV0S4/zh0n//31bUnNyVA/JnLn5oGXyXndBgQVM0MBy6NFYiPJ2XZQzhl2TqHPQq7q1uSdsnHfdlm7e5Os3rVRdZ3G5bBixzr1+MYxbqFY7d++lwzqdIb0a9tTqgS6eHc0T+SY4z4cG+/zZ6EopTglk3bPnK+lal6eSEFFiQkizzxYkIULwavPaWyC+pw2m0DV4PU5J2fMmKEKd9RqkWDr102msDKSxRcOhbSN0EbaMB6GOs4B0pZx8/R23WXKqjmqoRIkapfGbVW+KQ1hiwPd6JljsajUoWHwOYruiFTGG+4h2K1DRaxwPZOL2qVJO/l90WT5ef4E1fgWB8Qdg0ep/eQN1FfPj/w/ue+r52XR1lXy1M9j5J3rn5JR7z4oW5N3yW2fPinf3Pm6R6EORCSLY5o45X7KfZ7FIRapwtkurxWwrvmlKFZTU1PVZ2JhTeeb6rHLl89D46Frr71WjSXc58eMGaMUsNdff736/TXXXKOijl566SX1PQprvTDB1yyAL1++XClBtYOA/OHhw4era2/v3r3y9NNPq3HkiitOFvuYEXfDa3NuM/Zxrocbgaq3lYXP6dOnqwV8M6K2/G0ydf/998vPP/8sZR02iWojYkhUyCUmFLWrJSiFiifruTscyEqVAof6EUtIuIPPiWKWz8hKsjsSlVxUwN8Ei/YNWkqbes1lw76t8vWsP+S2gScGqO/mjFUrvTXjakiresYKczDxAToPldXiSMvxtBLVYuPU/jjsUEwT2UCxrwnS4jJRIw2aKHVVoh512Pk1weoOlR3Xb26+TaJaBYiHb775RqkrzVBFhsLGT1GDEgbFmD9Nc4IhUiGC6BzLz61ulOUNFECQp5B0FLFkOJqeO6mVk4eMnO7UcrFy25v3yMz1i5xjyFMX3y1ntguNMoKFvIS4TqqQ1kA1suPgHlm1a6PKy1u4ZaV6Rq1KBh4PFu6GdO6jmowM6NDbv4Z8eQZRLDTF81NJyj7h2DQ82EyO7agg+zLzZOecOUq5ZWWzJW+gKKQ4RGmnz2miB6wgUDUgGyiwuY4oUiEorQK2RwpNMxpx0GSKeJM333zTlHgTG5GBzz77TJEooWwmBVA20tkey+7BNYcMEnW7MR5zjwXzNy1TdZEnxWRyRooSRoDLTz/PtG1zJVJRBkK8QR4SFRJqcP8e2fsc6d6so3JDkMX9wh/vyeBOZyiLv7fYMebWWPlv+PARRZy+/OdH8tHNz8slo++U6Wvmywu/v6fGNO2OYJESOz3EKUpOxnxIRu4z7JNIrmcYC+rVq6cefFYWpPmczG8gElmU4rPy8JQbSuwJCsmnnnpK/S/nBOp9PR8j8sh1DggpimNAgwZ+PMjNJo4F0KwRwhTFLC4fSDwiI6xw/HD8WBRgGzm3Gf+YV4YTgeqq/IVIZc7LGOrpmFjVZApBxL///qvuT2UZNolqI+xR3ZmJatiaa1ev5SBRfc9FhYg87miJFCkWcieJ6iEXtY6DRGVfmDF4jOp7gVqNxd7SsEZdKVdQoCYS45ZNV39z++ArZPFWo0N3jbjgSdQq0ZFxHEIFVrzpTI2N1VUxrSMUSlsmagWH6kk30XJVperfuUOsbix1xCZRrQI2ftQ3wa5wMxlfsWKF5TZ+VBNkPJLLFWwGoq9EKuQM3XOZYFsdUeANqDewR1PkkNlXNM/LNGglal6G7DgSJVduOCRb8hZJbMVouf+8m1QMjF+EpAWg+GlWu5F60NVZx8cs2LRcpq6eI1NXzVUk69gl09SDRdibBo5UHZp9sm4ecpCoMdUDbgpVLi9NylWoKA1atJecmjWVfRDVMOS/lTmh3ooxzmkKU85pCHnOaSuJXSyuXbp0UbluxApYdc6yPyk0uV7JIAym0OS1KB5HjhwpN998c4kumtgIDWj+88wzzyhFXShJFOzhLGRCznFtdGtmNEdctXODWmRvXqexyjfdtH+7mqOP6DnY7evM2bhEza86NmwdVOSXO0Aacs9i7IF4Q2FYkmhRp7EiRBF9/LX0H0U6r9y5Qe4Zdq20a+BZ8Y5Q4bVRj8r1HzysIhKINBtz7RNy6ydPyntTvpXWdZvJqfXaK0IbVSWEFfMiiMFwI9bMAvUg9zedv8l1ACnKA+UoYwPKUO6pRbNcse57su9rYlQDpwBzRG8gRiPUYA7JvApCmEzscD3OEMnk5HKvYMwOFYnPuc9C4sMPP6zmDZG8eBAsSr51rA0bPtv5jYYMdaoblkmaT/gK7Pz6Zh0XHRnNjGjAobfdHQLZD96A1ed6R+j817P/kE9W/CnvT/tO7beBHU6Tbs06SprDsplQJfACK/vQCSWqjcKo5lLI6/Ne553Syb7ohCOyM1GNyZdrx26tSvVm57cbS1kLiBQmRhCpwQJVGwVhsCowX4hanq3MWXQlUimkKCwoJC0jLYsBZBfqQYpYbJSo+yzdlmiDKM7KPCDn7I6VLXlHlU1+wiOfyV1Dry5xAtXb/QLF6QuX3S/zn/tFJj36hYob0IuUqI26P3aBvDL2I8nJP+T9xfLSjeeY6ionk3Pt3nvv9W+D0nepp/IJTVSBComIHRSLO6rtkoDrOc05ZGYUhidQ/FGIo6RhMcJKwhaFHDb8YDF48GCV+/fKK6+Ysm02whtvv/22IoouueSSkL4vRBWKbRZXAE2OcH8R30SEFxjapa96/nvFTI+vs8Qheji9dTfTt5F7Fk4VlPTYwIm0KY4QsxooS2k89ewl/3He32kc9dP8CV63rVHNevLS5Q8oIQP7My07U245c6T63QPfviQzV85X0SNkQTLO4igIV2LNClSuXFmdiyy2DR06VF0TqPsnTZqk5h8otUsLdAYq5wuLBEQbhPPn69Chg8qzZa4dSjDv2blzp/z+++9SlmGTqDbCHnTxBdhWuLFpC78/SlS63OtM1Cox4W/nB7WqJjhVtO6g7fxY7c3CuacMcCp4MvNzlK366r4j5I7BV6mfpWSnm6ZERXVpw/25Dmo4lKjaqk8+rmt+aMRnojqVqMcCaixFszgb5oL7K103WWGGfDDDYq4D+60CmVAUdBQ3oVDyUTzwnqz8o4CFyOQ5lEAl8c8//xgLXAMHhkYFFGPcmzYn7ZSUY1HSuWplmfDIp15VPuEGSM8uTdrKcyPvk6UvjZU3r31S2tRvrnJU35jwmfR95jLV7dljwe2w8+ccrygffvihIq/9Rvpu4zm+kXqigQVEKscQCyEESqjPJ85pIjcoktlHnNMUk1aDDDoKdF20WgXIauygKKmCBeQ55BrXoI3SCxY0ONZ6sSSUNn7ICdcFQSP/08j4nOWITxnWxWgoNW31XGcElCtomrR+71b1tVaymrmNOD/YRshFxkKUmuFApIJOjdvIG9c8oRbP2B7yY1/+8wOvi2Q0Ibzv7OvVou/ovz6VuLyK0rtpFzXnfnP+9xJdvfJJqsuyCJwLHHNcL6g02V8sADJ2EXUQDsc/UBRtIoW1H/IYJwNRDuEI3USReQNK6VABV8dTTz2lsqI5B8oqbBLVRtijuoNMgmyh82/tajX9zgKFiNQ390ixkbOS6o1ErVM90alUdVXzBQMma+QIjbn6cRnesq+MvvpxubDnEGeODSu0IJjGUhSsIM4mUd3mompoOz/ZqHr/a+VpachE1YH9rsSwJg88hfmDypWMRZBDRfaFjeDx22+/qVzN//znP0G/FpM67EZW5JNqMGlEDYM6DOWO1SADlbxIigfs85BOWhEaCuKrqPqUDMtQKWIOlTPeJ6bgiLSpdFx+PbWNz5nk4Qjuq5eddq78++S38sktLyo10t60ZLntkydVU5Esh2PCnZ1/5cYd8vHHHwdm6XYoUTWJCri/o3ohN1irUsmkCwVcm0gRh8G5TQ4cVnuriVTmG1y7EFZk31kFrhEI21WrVgV9ndI0hWZ7zz77rGnbZyP8AHnK/fWsswxRQUnY+F1xVsfT1fPklbPVddmtaQflVkOUQDZqUSzfsV6OFxxXnexrO1xrZoDFCJwqLI7qDFSdkRpORCq9L+4eeo3cOWSUWpSnedTD3/1PdqXsO+lvUcKz3dUzy8up9TtI+QrlZdyOOfLfK+5TsQlEpt344aNuI7XKKrh3s9BOXMqQIUPUXI95ydSpU9U8KdQLgWYTqHpeRfYnymOI1FCSlP6AcZtt5N4RymvvpptuUsf5yy+/lLIKm0S1EfYgc42CB6TlZDoLN0LTfcWBTOz8xyMqE7U4Oz9KRfYLN01PRGugqF+jjrSu2VjqFimST9j5zWksZaMwdMMuSERNqDJZ0STpocP5pSgT1VjVd51sHT3usPOXKz4T1W4sZX4B9/jjj6vup6jDggH2PpRaWP2sAvc9Jo3Ygq1oMlAUFIgoa3v37u3Mi9QZqaEgUmnCoNWnqEBQLoZSIfXOv3+o5/hyx+WrenlStZTMHtmH53UbKDOf/l4eOO8mde/5c/FUGfLitbJ610a3StTKNeur5l1+43COSG7qSSSqBtm6WpVKVirnm5VEpiuBWvScpmC0WiGqlU3ko0JwYku0CkQH8Nn4zMHi+eefl6+++ko2bNhgyrbZCC9A6KM2hkgtSRu/K85o010JQBCPrNi5Xi28DOnUx6Olf9k2owlVcV3q/QELOxCoWIi5nlwRjkSqJp+fv+z/lChlb1qSIlLnb1qufsd4TeOkKVOmKHIYRd87dz4nvVp1VYv0T/3yprx93dMqL3vx1lXyyPevhs3nCidAOEI2EnfCAgDnwLRp09RzJOwvTwSqnh/wmbRTxMoxKhiwSMi2QWCHChUrVlRjITVDuO4Xq1FKpsE2SjO4iel8SCz9zizQzADt/NGRRqKmetwvWpW734TmUr4gVdv5gyBRsRmBuAg5DqEExDKT3l4tuxRSY8ZUOpGLWnoyUU9Woh51kFAVfLDz25mo5uLzzz9Xk8kbbrghqNdh0owigRzUYMlYb2CyyMSNgs5qQGBC8kCgFo05sJpIRSWDKnD58uVK/YM6KibGc8dhKzBz3UL5Y/UC9XVixfLSpGKBiGPBw0xw/nFMsc5R0NABGWUm4Gt+xu/I7jR7P3NfgUT984EPpUFCXdl2YLeMeP02WbDZKLjBygUGWdGhu6EKC1iFGhsvEu0+d9RVlUrXa1SpVmSyuSNQizabYp9zLVtdCNOYBsW6zja2LMqhSxdFmgSrKIIwuO6669Sik43SB1TG559/vlLZhQosPGLjh8hztzgWUzFa2dPBJAdpqnNRJ62YddJ1szNlr3puV9+cuBXU6eQXM657ajgZrkQqalKaTtFgizn0/8Z+JG/9+ZlMnjJZLfaiLud+xz2oYoWK8vIVD6q87z2p++WDqd/Ju9c/I+Wiysn3c/+Sb2f/WdIfJ2zB2IU6mY7tkHqML2Tsh7PN3xuBqsH1yDyTxXqugXBU2WpbPwuvoSQ0L730UnXdvPPOO1IWYZOoNiICunMuzaVqO9SRKDRd8xQ9gZu3K+EaKUrU4uz8rrmo/kQbBAOnEjUuPng7v61E9Tjha1yr/klqbHckal4pyER1jaLwJRO1crTDzm+TqKZ3IX7hhRcUKWhGMyk6nFqF7OxsNVlk0mh1ThnqGybZFFpY+N3BKiIVsmfWrFly+PBhlX1KgRLqTqio3R/94TXJPG5crxWO5TOo+k2iMg4zuSeXknOE44eSeN68eapr799//y1//fWXTJ48WRGHfG6UHxDIgAw+fsbvUA6NGzdOJkyYoBQv/B0NIIh2INuTwpiiKJDCjUWsqY9/qZqxMFZd/ta9Mnv9YhVzMXPKOGMfxAWYF5y+06MK1ZMqlQKFz21GnqcvBKoGxSS/pwAORdMKFgi41tjPVoH4BbOaTJEHN3HiRHVe2ig9gPz7+uuvlcIqVHBdeCRr0BOGdu7rzEGlCWfftj2VKGRPWpLM2bi00N/qusEMKz/jGec5tuHimkSGK5FKDfnUxXdJvxbdJS09TX5fPEX+TV4hp57WSzXVcx1XidJ6/erH1MLakm2rZdn2tfLoiNvU75786Q1n1qwN92Bfcp8lCqNp06ZqcQxnBWrfSCNQXT8TEUrk7ofaNu8ruD5ZkDRjfPOHOH/55ZflpZdeClkEUTjBJlFtRFhzqUxlJUfFRt6PLzZ2clRdbdBk5UQCEqt6t/ODOg4SlcyeUIA4Bde8zkCgs+bsxlK+AxUCyPNg54/kTNTCdn6tRC1f/L44kh+S5idlAe+//76afF188cVBvQ5kH4WTlc2kmLyiyiQDikmjlUB9Q/GI8qxu3bpe/9ZsIvXAgQOKMET9gAI21OpTjQ+nfS9bknZKxaqJUiAUmgUiRON4WcDkGEHMo+CFLIUohSSFIMWyisKSfctnYr+ivKQxGHbA4cOHy3nnnadyJ8855xz1APyOn/E7VGJ0CabwITKCgo0MQch7CjVIwpkzZ8r48eMVAQlBgcqLYsmXewZOi2/uGi392/dSizVXv3u//Dl9gsSXMxQeDz83WpH3HJ+33npLfe3T8S7SVMqXAgVFDw1cIJNRUQZbvPlCoGpgLea4cMw4H60E6lc+JwWglUoa3WRKK5wDBR2q77nnHluNWsqANfX666+3dBGwKGhU6MvCY88WndS9CTHJ/M0rFMl38alD1e++mWXErei5Ueah7EJ1RKDgfqMV4q7NriKNSKUZ1tw5c6VtdAO5feCVUiextmw6uFOe+fUt5XAsihZ1GsvzI+9TX/80f4J0aNjKGA+O5MutnzxhL+L7OH4RTUH0DUQ1URA8wqHbvT8EqgZzWpxAqMYZi8MRKGYZ24Id3/zBoEGDlKDhtddek7IGm0S1ERHQpF16Tqa6Mdf2w9JvNJU67lT0ebMKh2smqqfCzxltEAIlKhMzrYTUneMDQXZ+bkQpgsMB7uz8TEydJGoEKlG12lTnoIJjDiWq18ZSLosgRZW5NvwHZBaTH5RVuoFZoGBiCTFjZTMpbeOHXLIS3HMhQ7HvF6e+MZNI5brmM2IbY0IMIR3scQkUXF8fTvtBff3oRfdIVFUHkcw1W3DsJNUsKlBNmNJggsxIjhXnQ69evRQJiqIWUphJN4QW1lAIfPYz8Q++fFYKeQhY1Jq8Nvl8ELHYtSH9zjzzTPVeKDn5HX9PQQ+xinqVZ4hBiiFPBX7lSjHy5e2vypntTlWF8xfrJ8rw/t3V7+56/EVF5KNOvuqqq9TXPi0apG7zi0TVII+tT58+6ryg8AuUoPeHQNXguHAOcj5b3VgDQt1qW7/O7+P4B/seDzzwgDrftVraRmSD+9Wff/4pjz76aMjek7GChSZfFh6ZFw3qdIb6evKKWer56r4j1PP4ZdOdggstLoFkrRLkPJt7DoQM91V/FkbDhUjVYzHjKfcXCJ+RA4bLfy+9Vwk5Nu/fIY//+LpbN1+/dqfKqD4XqK9f+P09efLCO1VdtmHvVnn6lzdL4NNEJlhkZHxm36O0ZvGRhc2S6uoeCIGqwbyDa4Fx1Ex3iFlg+9q2bavip0IlMomKilKLT1j6w4EgDyVsEtVGRKC6IxOVFViQ6MgCTc4oXonKhELnoVaOIOKupsPOT2RBWq77G1NdhxJ1fwhI1MzcbOcNM5g802xbieo3XNWXrqpNHWcRyUpU10xUX+z8/E7nqdpqgOBBZ01s6ij8ggFkGbZfK8nNUNn4tfoGsspTRp0VRCqTXt6XCTpd0os27wg1fl80RVKy0lQ+3IU9B4vEG92YUaEWHDuqSEgs9DS8wlaPwhTFiSZMaYBFriBqFMg4q6MXXMExq1atmlIsQ1CQMaqJVSyGnK+oYiZNmqTsedjWixZ1LE59cNNz0qRWA9mdul8OpRkkaKMOpykFLAUh147PDdT2rzKe6/h/jUB6Qg5DZGKN9FetGQiBqsF5yH6EiCCjN9Jt/RD3XJ/EPgQDjv3NN9+srIw2Ih//+9//5IorrlDneqgAmc955OvC4zBHDuq/6xZITv4h6dS4jXRt0l7NnX6cN1797oBDXKJ7JgQKyFPGW0gjVOn+oqSJVK5vxiYAgcfiiR6DWtdrJi9e/oAiRfemJctjP7wm2w84nAIuuGPIKKVCRdk7esLn8ta1T6qffzXzd/lrifHaNnwDZCX3d+YFkG3kpaIQjhQCVYPxk3khEULhSBoyvrEYzaJ2qNC3b1+16I+rrSzBJlFtRJid3yBRaztUmsmZxd+AWZ3Vg3ckNTOCLNKKz4OZ7i39das7SNQQ2PnTHURu9diqQSmjsnRjqQgitMOFRHWNpdBNpSALKlUILseyJKAt+2R7FW0s5U2JWqi5lK1EDQqQRhSOjzzySNBqR1Q8FIL+EjS+gns4ZFcobPyQwRCCkIGBxBIEQqTyt3PnzlUEEkSfp/zVUIH9/bFDhXrDgEuVg+N4NYNEPXokTw4k71OkGkpmlA9nn322+swtWrRQhKlVcQ5mEavdu3eXYcOGKTUpxwsymIxLiFXstRwPgH32i9tfkdhK0VLjmLGQKNULZ1b7hMO5IimOLL26HQNWmVD4QU6g5oHEtppA1WBxhPencLSSDNG2fpQ0Vtn6OTc5ZyGIglXr3H///So2gteyEbnYvXu3fPvtt/Lwww+H7D25fiH6IJZ8RadGbdSiDgvIY5dMUz+7pt8Ip6Wf8xlyFVQLou8AC5YorFH3F22mGO5Eqh53UTuSY4kF2x1Z1iChjrx0+YNqfxJV9viPo2XVzg0n1WHPX/Z/Knt25c71sm7PVrl76DXqd/d/86LsPGg08LLhO4je4ZxgcZXxlnt9KFSpZhCoru4Qtp85EDFW4QTm8pz32gkUqrnVo48+Km+88UZIG1uVNGwS1UaENZYyiLw6juZSyRkp/pGoEUbc1XLkGR3ISvVq5w9FYylNYOtjESjIqAWVI4jQLmlQwBdVoua5WPlD3WzGDGg1qSZOXa393pSorpb+XEexYCMw/Pzzz2piefnllwf1OnRMRzmGPdsqYCuEsLPaxo/6BnVQoOqbQIhUuqBDijGpx7aNrb2ksXTbGlm7Z7NasLigy0CVVbk9zbg+owqOS3zVOJVLChlJPmSwDclKqtiAkEdJilKJrsKQ15zL5Ldy3Dgf2tZvIU8PvVyiowrkeIFIenmDnKAh1pgxY3x7s+R1RkOuqrVF4moHRQCigiFiAtKdrFerCVS9ryCctRrcSmC7JeKBmASrSJdGjRqpzwRhHgzI4x01apS88sorpm2bjdDj9ddfV0p1yPVQN5Py537PXO/y089VX/84d5xyI13QY7Bydm07sFvmbFyiOsmDYwEuEKA2hxxCgc51EixCSaRq9SnvQXQMZJc3JMRVV9mnqE0hpp/77R2Zs2FJob9pmFBXHr/wDvX1FzN/lQHte0v3Zh2VOvWOz54u1BzVhu/nMQuujLksHDOWWtl4ykwCVYN7BYuyzBPCrT8D85hQN5k699xzlRPpiy++kLICm0S1ERGo4ZKJ6mrnT/KBRIWApAlVJDWV0qgZZxQ9adkZXhtL0UU426HwtAoZDjt/9cpxQb2OXiWPtGMRbnZ+nYcaUyH4yUBJoHw5gyjVkQS+NpYqpMy1lagBgyKDrpoPPfRQ0DZrSBXUfSgMItnGr9U3rOIHo77xh0ilYQ/NjyhYIalCaXn3hr9XzFTP3eq1lWULl6jPULt1N/Wz8lEFUinqWIlltVoFin1IDaxpWA4hNyi8yHc9M96w2x4oqCCvjA+gSNjvKGbqBKZCdVeAQvRTJKE4cUdMmEWguqpEUWej1Ea5ZyUgtil4iyOJA4Vu2sX+CVYFxT30hx9+sGxbbVgLLMUff/xxSLNQWaiBrAykgdU5pwxQYoY9aUkyc90iNZe+uNcw9buvZv7hdPLouscfcB9hDOTeZ+aCpdVEqqv6FGWvJ/WpO5Ab++RFd0nvVqeoOejoCZ/JrPWLCv3N4E5nyIU9h6jtfva3t+WlKx6QarFxsnjrKnn1r49N/SxlCcwZWTjGgk6+tBWqVCsIVD0Os4iMEjWUZKWvwF6Po8pXx4pZatRXX321xPJuQ43SNQO2UeozUbUaso7fjaWMATvYkPVQAyshSM1J99j8QitDfSGUg0GGtvMHoURlMNM5lq4Ngmz4SKK6sfNHYlMpUFHb+V1IVE0yaYLVEypHO+z8diZqwKDBDhMsOhEHAyZoqPVoHGCljR+S0Uobv1bfQAabmYnnjUhl//OeWCbZf+GgKKcggFj6fd4k9f2gjqc7FadxDRwqLRTjh9xHzJSm4o4iZMiQIer50H4jX2zvsQryzew/nbmDPkPnodbtYNo2ovqgAIXUZJHBlZgwm0B1JUMg+1GJpqVZdw5A2HJdUJxaZQ9E8QpZFGx2HFmL559/fpnsTlwa8Pbbb6vrhPM6FGAMgEhEyRZI7Anz/ot6DlVffztnbKEGUxOX/yvpORkBK1FxYeTm5qp9YfZ4ZBWRyvxDq09Z/EId7u+2E4n1wLk3yqCOZ6jXGTPxC5ldRJF63znXS4s6jSU1O10+mvajvHbVI+rnb0/6ShZsXm7KZymLcKdK5TmcCVQNFr1ZzEQBHayrwWwQv8N+NaOJoq+49NJL1fH88ccfpSzAJlFtRAR0tg/2CdfAdF+60qvu9s5M1MhqZoTVBDBoe4LeF/sszkXVTb00oR0IXJWDTARt+IYYx74qpEQ9esLOH4ko77Dsazs/g7yvSlRnJmq+TaIGAvb1iy++KPfdd5+aaAUDyBuyoYJ9HW82fghIK6MC2B9kPUKoQJiZDXdEKo2M+Bp1rRmWSTNIZI4lNva12zfK7swkZQu9fOAFitBSqK4bSx0VOXxI5Ejpj9NAsUhcQfsGxriXVbG6HDl2RF78/h2lXPYZ+9cYz3V9zz/0BdgJKQ5RtkE4ci5bRaBqkH0MAbRw4UIVsWG1rZ9ma1aAYg+1Hfsr2Fw7FDiffPKJUpbbiBwQRQOJGkoVKmQLYwJkX6C4tPcwFYm0Ysc6Wbt7k7KjayUlDQEDUaJCBEFwoja3Kp7FTCJV3+u4DzFuoz4NZh7Cvf72wVfKwA6nGUTqhM8LWfuZd75w2f0SU7GSIk1p+HvF6cPV39731QuSay/qm6JKZT5E88RgG/9ZTaBq0GCSc4/xN1SqT1+B0p17HAsNoUCFChWUMwOXW7hFHFgBm0S1ERGo4ujkjm3dNRP1QFZaITuwOxxEiSpaiRpZ6scEp53fcwfAuvE6H9baXNTMQw4SNTZwy67OsKQ41+pKG4HZ+V0zUSNaierIk3Kd8PvaWMp1f9jwHUxQaaRz++23B/U6TBhRDGCBtorYw6qMPc9KmzuFGISYFeobd0Qq9n1IW9SdxWW2WQ0IXT7/lClT1PFkG7NjjWuyZ4tOTjeEQryj6Odapfgt5WrUQsgwGog0aN5dPU9YN1smT52iCL5ilZLsp3SH/b1ue0uICYpPiHnOLa4ZqwhUDRQuKMOtbjSFrV+r3a0An6FGjRpqsSYYsBhy5plnyltvvWXattmwHh999JFSEqOCCwUY01jggLwPZqwh0mxI5z7q6+/m/KWe7zv7OvU8ccUMOXz0iHr4ChZDuJfR1M2qWB4ziVTGLRwqqMh5LdwjZozdvMadQ0ap3FPmpG9M+FzmbVrm/D1K1PvPu0l9/f6U7+TKPudLvfhE2Zq8S14Z+2HQ71/Wwf7HlcPcCLdDoOdHqAhU13GE+wjnpC+NREMF5p1sVyjVqNdee62KSKHhYmmHTaLaiAjohlC6KVHNqvGKiINApauiJ3DTMJSoBkETF1267PygbrzRpGJ/+sEQKVEDt/PrlVrs2OFgXY0UxDgaS5GDqhcNIj8TtbCd37XBlG465Q+pbMN3vPnmm3LLLbcoFVswoBhs2rSpZaqVTZs2SfXq1ZVt2SowyYZ06tatm+XNkXh9sr9oJEUhaeXnKg6MjRSx06ZNU/mWFC0Qb2TBrtq1Uf1NzxadC/9TbIJIxcon1Ki54aW6sBSp29RT01anSf0atSUjL0uOJUYrBSP7kCIFgsQt9q40nms0FolxIaVNVsOgbMNiz3nFdWMlGL/JDs7JybHUxogKGjVN0bgCM8EiECSqx+PnIx544AH54IMPLFXn2jAPkB2oUDluoZqPsmBl1r3/ijPOV89TV89VzWX7tTtVNTyCPN2bllSoqa438DcQqGwTqvtQIBgiletrzpw5SmHXr18/tQhiJjSR2r99L1U7jh7/qczfdMKuf0H3QUqtylz8jfGfyctXPKR+/tG0H2TRFse93kZQwIFANjkOCxw7/mRshppA1WCcYrGf8zmcwBydsc3qHHMN1OB33323qjNKO2wS1UZEQJOfWokKAVOrag2vnetBVl6Osj3rAVqTsZFm50/xYuev61Dl7rfYzq/zaOMdTb4CQa6DBK9cKbIUwSWNmAqVnJN8rUCN9EzUCg47vyaFXbNRKzp+5wn6M9skqv9gUvrXX3/JHXcY3WYDBUQg1lUUaVaAQgliI1jFTnGTbZQDEJtmNJIqDvv371eNL3T2nqdmU1aCsRDF4vTp052KKBR0WLT1fl63Z7N6bt+gSNMTfq/VqJCoOdbmcIcVDhrEcvk67WR497PU1zM3LVY2Pgo1yEvUvBD/Jx3THfOM50Y9LSVnIDOx4rItKM2tVp6wKIByjfeCTLUKxIVwP9i711ADW6EigoSG0AkGdANPTEwsM3lwkY5x48apa3XECCNP1GpwDqOcNGtMa1u/uSJNmUN9OfN39Zr3nXODU1RB/JmumbwBcoV7Bo6PUCIQIpXtnDFjhrpeUd/HxlpTS2Dtv2vI1dKvbU+VLfv6+E9UEynAfn7o/FskvnJV2bR/u+xK2SuXnXau2v57v3rezuo3CSzyMzeBAMRhQVZvuBKo+pzBkUBGeTjZ+sldJn6HayxU882bb75ZOd5YXC7NsElUGxEBTX4yIdAD7Ylc1BSvTaVABUejmioRpkT1xc6vm2wlZVps53eQqHSkDBS5jgxL3RjIhu+Dc1HiMNIzUbXaVCtQta2fCWpxBUasrUQNGCilhg0bplangwFkERY6q7JQUYeijDFbZVKUeELhwATTamBHpusxilcs/J6aTVkJbOfz589XqiOO/1lnnXVSEw7G17UOErVdURIVxDcqM82lnODedNDYJ1KrtQzt3Fd9OW3VHHXf4hzVjWnIcYOgxs52Eona9HRLNs81A5UcUYpHtsNK9aYG1ygZdlgvrXov1D1YPPk8VuSscf5jeWQ/BnMt8jp33XWXUjeGyjppI3C88847ctttt1kaFeMKrlFIdjMX7G4aOFI9/75wkuxO3S9ndTxNOjduqxSUqFH3ZxwoltilIzqq8lASToEQqZC9KFBZuGUcDaQpl7/z7ruHXSN92/YwiNRxn8qGvYYjoWZcvDzgsPV/Ov1nubbfRVK3eqJsSdopr4z9yNLtKkvAiXDaaadJzZo1FXleaFwNIwLVlfgNR1s/YzTXS6iaXyUmJsrll18u7777rpRm2CSqjYgiUZkY6OZEtR3koSZK3eGgQ6WqG9VUiVAlqjc7f534RPWcFCI7f3wQjaVyaUZiK1EDgpM4PJxfSJFKyH0k2/mPOMhT3UkWcrU4ElXb+XWkgQ3fQMFEBhxWm2CA6gw1I/YlK0A+6c6dOy1tJsVEm6I2FMUYE3+aX6Da03ZJd82mrLbu08GYwgLFHOo+isSi2JWyTy1WogZvWbfJyS+W2MZ4Pnak7Nj503eIHDssUiFGkcintugsNapUk9ScDFm8dbX6E+5ZEIooZ1A2Q1ZDThxN2y2SstVQ8TbuZfqmuWsihUqL77mG+J3VQFlnta2fBRvAZ7ICkM8U7Cj1g8E111yjFpg4/jbCFxDyqNtQTIVqAYt7sNljWo/mnaRXy67KyfPR1B8catTrne60rUm7wsrGHwiRyvf8nG1F+c+8I1TxC8xT7x56jXRr1kEJF1784z3Zm2bkMw/p3FfObHeq2vdjJn4ur1xp2Po/nPa9bes3EcxTIPm5drivunMMhAOBGs62fq4X9l+wC4X+4O6775Yvv/xSudZKK2wS1UZEANJND5o5eYZtLLGasZqbnOlZiUomkCthE3F2fp2J6sXOT6g5IBOpuCZbZtj5g8lEzckzSNQq0TaJ6i+K5oBqAjE6Qht06YUNp53fQaYW11TKNSPWVqL6h19//VWt6KNADAZMxCi6IGusKnBZOae4strGb6XSFUAuQaDSIKdoN+ZQEKkU7wsWLFD7lNxTSGPIIk9AzQQa16rvPlajTgfj+XjpI1Hff/99VayhJuGBAmbixIkiBxxEZK1WIuXKqyiSPm0Ma762eGowT0EpRaMamq6tm/iJcY+r18n0PFR3BKoG1w4/52+C7XJcHDiPsTFaaeunkIaspTD1Jx/PV3DcyEZlfwWjdqUpD401OJdshLcj49JLLw1ZLjXRNLxXsDnk7nDnkKvU898rZ8rm/TuUUp76iIXpH+eNDzsbvz9EKs90PefnZGQSOxNqcL+//9wbpWWdJioi7rnf3pH0nEx1z3j4/FuVO2/dni1K+Xtp73Octv7SMD9FSYhrBccRUTHMZTyB+//FF1+s/p59M2bMmKBf0xX8D3/P+eDaCDCcCFQ9VjHPCjdbPwuFjNXBLhT6iu7du6t57zfffCOlFTaJaiMiwE1JE28646eOIwvUG4laVKUaaeSdtvPzmT112iQbliZbrIZ6I1vNI1HjgleiRthxCAcUJQ6dmagVIt3Or5WoxwqRq95gN5YKvHC89dZbg1JxoGZFDQbhYAUgnpKSkpR91yro1XirbfxkeUFgQgh7ik+wikilkOM4oT6FNEV9yiS6OOgxBLuiW9RxdJdHmZlrrfsh1IDkfvnll1XHeaIX2GcXXHCB7F890/iDxBPnfOfGxvm52tGEyx2ZRmZfo+O71bHdW6mpqeSfNwJVA8KGQoYFA64rq+17nOe8l1VWdpqNkIHoWkCbCWI2KMiDzV7FIv7zzz9LSkoZygyOIJCtiEKK4xQK0HwOQsWqMZPYlbM6nq6uu/emfKPqpeHdBqrfTV01x23kWUnb+H0hUrkWyRDH9cK91AoC2lfEVoqRxy+8Q/WgQLDy/O/vqka5kNX/d66RQ/vxPz/Kjf0vUbUptv53J0c2eUS28//93//J008/rUjKLl26yNChQ1U0kafrCocLY6inuYa/r+lunGFxk0VhveAVTgSq67nMHJZtCxdbv1kLhf7gtttuU3VHaY23CU0QjA0bJiAuuooiEzWJWttViRrb0iuJ6mwsFWGZqKxwQpASY5CWk+Ekjl2Bco+BnIE9KSNFEh1ZsdaRqME0lrLt/IEipqidP9IzUYs0ltK2fk2u+kaiYrG1dDNLDVAJQAz9+eefQb0OBAYTWasKGoLoUYha1TBC2/iZcFtp42fMYQKN2qJDB4d60wM0kTp37lxFpGJZDGbbIO00cQaJ5gt5qqGbGOoFvJNQGztqlEjBcZGUbf5t15HDsv3AHtmduk+5RBjTWBzk2j/ieGaiz5hXvlw5iYoqJ1EFBWrSv21yqtpP5aKi1JgHUcDfcb/gZ+XKlVf/o/+X38dUiJb6CbWlUc16UsPh6vCG4cOHF/r+heeflw/ef08yNi+Wuq5RBiLSoVErryQqiCo4LvEZ6+V4TIzsj24ua//9VylUgs1E9IVA1eDYU8xB5hM1YFWGMUApSh4shBHFtNng3OA9UC6xKOFNUR0IOGewYrJ/IVQDXWxiG8nH/eqrr+S+++4zdRttBA+IHAh/rp9QgOsBx4OVzQtvH3Sl/Lt2gcxav1hW7FivGh39NH+CqpdeHvuBjL768bCz8XsjUmlKQyNGFp4gUCtXLvnaDRfekxfdJY/98LpsTd4lr/31sTw24nY5p2t/mbJqjszZsETenPilPH3x3XLHZ0/L239/JZecOkyaJDaQSMTo0aNV3MX11xvxEJBh48ePl88++0weeeSRk/6eeQsP4O73gbymO3AdcY4wX0JVyfkcTgSqBmMJCwAQvigywwGMa2wPC4VFnVFWYOTIkXLvvfeqY8UxKm2wy08bEQNlxc8QZacAtV2VqB4cHgccmaiaqImLscZ+ahWY1NeIqy4pWWlKIeSORAV14xMViUpHzo6NWpu+Hew/vd+DsfOzcguqxNgkqr+IqWgUv3T+ZNKQfSgnIpulaVQ4KRP1mO92ftdMVPtU8gkffvihmtAEU8ixoo5KRHeXNxuoESD+rHp9rVqA4LHaxo+SJisrS/r16+c2e9QqIpX8KQgzPh9KSn+JppSsYpSolSqLVG8gkrFb5OAmr6+livWd62XWukUyf/NyZTVlQdAvFIjkHsqVpSmbFHcbKIi9oeHKGW26S792p7p3peQcNJpAJa2V42k7JWnjEvn1vCPSMt/IPZXdS0SWfivSrI90coyzW5J3Sk7+Ifevl7RW5FCGlIupKqecc61s3rpNHV/UXzrj00oC1bWYY/GA84r/s2rxQNv6Of+w3VoR98ECDuc2uaPFLU4EAo4LRSY252DulShwnnvuOVVAhiq/0YbvYyHHJxTHBRKQhUcWs6wERN153QbIn4unyruTv5Y3r31SmtduLCt3rpfv546T68+8RDo51PPaxs/4EI5AxU/sECQqiyVWLagGgno1astjF94uT/00RpbvWCcfTP1e7hwySh674HYZ+eY9snr3RhnYobf0adNDZm9YLI//NFq+vuO1iLsHoJ7GkfHoo486f8Y8ZtCgQTJv3rwSf00W8RkHDhw4oNSV4UagAo454yENsVissHIRxd+FQsbPYBYKfUXlypVVvA33XJtEtWGjBKGbQmkl6oks0BSPhRnB6uAwTTAi1EaeUKWag0T1HM6MxWSF+ry+WSL8ReahbOfXQZGothI1aDs/jdUgozX5WC02shYGNLRtnxgK12etUPUGOxPVf2Xi119/LePGjQvqdchWZLJaq5b7xZxgAOEGecGE2GyFmQYTR4hUK6MC9H6icIZA9eezBEuk8r4oUOkOy34MZIKMOhSweOcRdTsaJGpOikhepkhMYVUyER1/LJ4iP82bINsO7D7JXdE0sYHUqpqgGicSR1KxQkWpVL6i855wvKBALarwgIRYy3nRupUURBkN6AoKjqtnxv2jx46pY3rc5Wf658TH7ElNUgut+9IPqMeklbNUM76hXfrJdWdeLA2r1RDZNE1k0xSVfZqdky1LlyxVr8m+79Shg5TPcZDF2QdEln0nsux7SWw5UOKiYyU7/5CaZ7So44YU3TbLeG7US6LKV1DHpHr16koRDqmJYtEXgj0YAhVwHtDUDHUX9li+tqp4crX1UzRZ8T7sNz4LiyFmEyw0BIFI5foNpuglG/Cee+5R20mWo43wAHmKXAOjRo0Kyfux6Mg5ynVhNW4ZeLlMXD5Dlm1fqxobdW3STuV0ovp/6ucx8tv/vee08UPuWDXOBjsP4PiwGMh9jnsl4yLRO+FCRLaq21QeOO8mefHP9+WfNfOkee1Gcs4p/eXec66TF35/Tz6e/pO8euXDsmDzchWnMHnlLDXeRBJohsmiedEMWr4PtGGSWa+pF8PJe8faz1yJc5ks8nCDq62fnHTGl5JGkyZN1DwC0UIoMoZvueUWtYj09ttvq/lPaULJH00bNnyEbgqVk2+QqFjYUa1xU85y/Kwo9jm6KOomPJGWiXrCVrnDK4mqFapJXvJhzbDyQ0K7bTbiI1DsgNho6yyFpRWxLnb+TMfx4JrwhXQMR5Qv57DzO/KCID2MnxdPGukcWGXnt1EsJkyYoJQdwdgXKW4gFrDaW1HMYC+iwOP1rQCqUEhUq238KGkhkFDTBtIYKxAiVXcv5vjwvv7Y94tCK8K93ufrdRbZ8LfRXCpth9E0yYGFm1fIa+M+cZKnZMkNaN9LTmvVTXU4Ztz25/whV3bC4QlyztBz1L4JdNxZs2ujLNm2Wtkud6Xskz8XTZFx88bKpfFRckdiOYktxzZFSWyT7tK6zUWSHhUvv09fLI9++p3MHnlUhPtVv/tE9q4Q2bVQZPM0qRV1RFhePJiV6p5E3TDJeG51QvGFhRZyHbUmRCrHyxcyI1ACVYNz6NRTT1WqGM4TKwtOFKLY+rdv327J9czn5xznnIcMMhtsM9vP/SjQ+AP+D+X/t99+a5OoYQSanJBzHIpiHrKH65bGTaEgAGtXrymXn36efDXzd3l9/KfKZt6kVgPVBGnepmWKYK1bUE0RuuQLhxsYx4gdIhNdW/gZr+fMmaN+H05EavfmHeXqviPUvv58xi9qYfCC7oNk3NLpsmLHOhm7dJrcOugKeWfS1/L4j6Olb7tTpXIlu+4JFu4yUCFSmS+xIGnV/DEYoPxkfrtlyxbLF/B9nQuwAMl8IhQkaocOHdSDxrY33GDkB5cW2I2lbEQMdJ6pVqJCtmBjB2moYYoAtV56bpYamHVTJgq6SENCFaNgSs3x3BiiTryDRM2wptEH+xHEB6FCLdRYylai+g1X9WWGQxkcjCq4pKFJGhSoXKNaTe5TYylbiep34XjVVVcFVYBg/6PzthU5SkyMUaEywbRqpZ6sVRRmVtr4IV0gx/gcwRCZ/jSbQqlJRiQWTciaYN4XkCkKvDYeqNvhRHMpSFTH338y/Se58/NnFIHKWPF/594oEx7+RJ699F4Z1rWfKvJLoghm8fTUll3k9sFXya//eUs+HnyO9K6QJcfysuSH/Zly9ZY82dT6IpErvpLyF4yWukP/I22HXCuPvvS2DO7axPGZO4p0HCEy5GmR898QqdVKEh2n6oEdy09+U6IOUrZSsYi0GHCSXVXHPMycOVMR/FYSqBoo4iBSudZ8beQRCLiGIY4gOSHBrQCECud8cfsuEHB8UNujIgwGqB1/+uknZWO1UfLgHvXdd9+FTIWKMwDCIpSE5Y0DRipRxd60ZBU1QmZ+m/pGPvHTP78p23fuUErucASLnOwz7nM6A7Vos6lwalADadq3bQ/lgHj1r0+U4vfB825WY+jklbNlQLve0qBGHdmdul/e/vvLE/94NF8kY49I8nojImbnApHt89Rzwa7FcmT3CsneuUpStq+RPVvXy45tW1WuLqpcwL7gwf0PdWd2drapTQsB9z/OXQhtV/B9oHOMYF/TUxMp5nS9e/dWczzOn3ADcx5IRMbxcBkLIJtRezOvDwVGjRql6pDShsiUMNko00rUbEc2J6gfnyh7UvZLat7JE+n9DhWqa/5mrIN8iSTUiDOskmlelKi1Hc2kktKtIVG18rFabJAkar6RiVrZVqL6DZ0DChGd5SBRscZGKlzVdajfAmkslW+TqD4pIwnuf+mll4J6HSbtEKiBqgG9geYATDQDzYksDnTJJjtr8ODBYhWY4ENmUiigPAgWvihSIbV5T5SMNA0yw56pSVSvpWodTaIeEUndqq7fZ395WyaumKF+PKLHYLl72DVe70/sL4o/LHmQz/oBccwzRSF/w2cE//77ryId2Qeo/CigeHZ9UHB7JeEPbJSoWW9K17Tt8naTGJnbqJ48v/ew7Dh8RG759x95s8kZ0rlxYQt3q8qOKJv6XU/8MLG1yDkvS+LyS5XF/8DSn0X6XCwSXfVkFWqTM06KO9DHt1evXorQhEhFkepOFWIWgaqBRZ1MVgpyiFwIQyvAZ+G1Ud9AeJoNXlvnl0IMmw2yGLEVE8HgT+SCKzhmKB4nTpyo1I82ShazZs1S95shQ4aE5P10g7VQLhyhdrz/3Bvloe9ekRlrF0qtqjVU7YQDYFfqPlmWsUUusiCrOFjQgIf7HAuBRe9JmkgNN0Uq23DH4FGyO2W/Wjh89a+P5bmR98lFpw6VXxZMlLcnfyVPXXy33PrJE/Lu5G/k0u5nSfOKR1X29vHjxyQ395AaA3NysiU3J1fyD+fLkcNHFClLc0TG84qVKqqmiQUVK0tOxiGJLh8rB/ftkuPlo9UYqcdMHT/DOMhiGfcdxgue2Z/+7i/eGwv2tGnTZMSIEepnvAff33XXXQHtr2Be0xOBqoHTitdmXCOL24yx0kwwL2Ts5RwPhyZTzD90bI3Vec3g8ssvl4ceekgR/6FoaBUq2CSqjYjNRAX1E+qIbFkl6W6UqOSfgcSqCbJBthUiXyIJukuydzu/g0TNSAlrJaqOYojUZkglCfIDAQ3GdG5hJCtRXclS1KhMKn1vLFXJ+X9MOG14xi+//KJIE3IyAwWr56zwW2FLRVkCURQMWVHc66NQgNi0svnAhg0blGLUzLxJb0QqxQQ/p2EBk3Kz9p3edK8NoBKaG/b240elYN9qeX38Z4pA5Zp+5ILb5IIeg9wSphD6+sH2Awo+VyKUgo9nyFD2I6TH8uXL1Wfks1M4aqKVB2oKnvk7zlMKbl086ucKfKblP4is+FGEzxUdJ9Ltajm97dnyfV6u3P/NS8qCOfLlO+SJYbdJn86nKoUjqrUBh4klqCDSoIhtvGKMVG7UTWTfJCPre+GnIn3vNX6HWkqTqG3PLrbbPE0yOL5dunRReaJWEagaFE/sN4pSrmkrCAmtvuEcRfVixbXHPW3q1KmKaDe7iZUmtFHsBqq8Yh/gANAWchslC47DZZddZslCYFGg8OIe53o9hwr92/dyNjYiigsCdVC70+T7BePlu6Xj5dbho6RhQnCOBTPBfuJe1K1bN48xC+FKpKL0ffj8W+XBb1+WzUk75KNpP8itZ10uU1fNli1JRtPBAe17y/S18+XRL5+RF3oOUmNhRn6BHKtUVSrH15FqNRtLfPPqEsPCYKXyElO+QCocPyxRRw6JHMkVOWqoF9sdOyrz5y+QHnUbSYXo8iLR8WrhriCmuhyJipY8x7jIWMgYC0HGfZ65gR4PiXLQitDi8H//93+qKRALfCxUjRkzRt1rr7/+evX7a665RjUn0gv0jL/MtVznjIzdjOl6Ybm41wyEQNXgPo0LCDcQi8qBRrFYBcZ6FkxZWNFK65IE4zKL04zTVu+revXqyYABA+T777+XBx98UEoLbBLVRuTZ+V3yT+vF11bP7pSo+xxNlliJBRR4kZgf6ZOdv3qi829Q9AWTW+otEzVY0o6IBWBnA/mP+MrV1ISNfN9tybtNUQaHC4kK+eRUovpi53dZDDlCLqMNr4VjsPZFlKIQPVbkyKEQxfLLZNwKYBWjaMHuZRUoWFDcQUiZnbfqjkiF4KObLZNxiCQzi0lUL0Bfj27B+BLfWKlQ07ctkJ8zDqhtwLY/pHMf9ScQnex7Oixr67gu5Ji88zWFcXHbzrlBIUbh5438gCyngNQkLecV9lDJTpIuBydI9aPJSglTvuVAiTr9dqc6lDHtreuekge/eUkmLPhHHvzmZUmbuF6paDt37iT/7RMvcjS7sBJVw6HaVZ9g4xSRDiNEEpoaVv7U7SIVKoq06F/sPkeZQWFI8UfBSOMHqwhUjXbt2qkCSi9gWAGUNxTtLDCwkGM2IOApnFH8ma3ugXjgOJDrGkxEBiQqua2QGaWtqUYkgXvDzz//LH///XdI3o9zksWKUBC2RcE99f7zblTNpdJzM9WcqqrESOcGrWXlno3y0LevyLd3jQ4LEpJxgvseGc0sCHpDuBKpxNSwv5/99W1FltJ46o4ho1STqXcmfiW3dxkkM9YukBk7N8vSlt3kjJ7nSota9SUuNkaijuQYjo7yFUUqVhZx5P0XAvb//CwpyE6Vo+VjjXEHYvVoimruyB6oVKGSVIqtIdWqJIjUaqjuXYDxhPmCHhdXrFihCE6yubmvsVjkiZRkwYFx9KmnnlLjOAvEXD96gWnnzp2FFm/J/XTNqH7ttdfUA0KTscaX1wyUQNWArOVvmSsxdlqZf+8vuP9zjhNLwYJBSYPrCQUvLrNQZLWOGjVKRo8eXapIVDsT1UbEoKqjC3mOqxK1hkGielOiaiWnzlGMNOguyd6UqDWqVJNKFSqqQjLZAjWqJlGrBUuiOhpLaVWxDd/BZDHREduQ6cxEjVw7P5MvbR1GUaobS/li52cxRP/dES95kWUdTHIpOJi4Bvs6elJuNlBL8NpWTHa1ChWi0apilgUAJvm687oVcM1IhUzlQbHAxNfsIpKxBNCMxCsaGkVAuUwWdArk7qHXyGnNuijiEtvspEmTFJHAPoFcPvfcc9UzWZmosyDlzdx2XgtSDcUDBCGk+dAOtWRQzl8Sf+yg5BVUlIVVBsq0491l9eadKktO5+uxqPfSFQ9Kl9YdpWGrJnLvR88q4nfqT59IRQjU8pVE6njJEazhuDY2TzOeaboFmvY1VK8+ALKRBhl0D4dUsJJABSh9KeQgOK3IFdXgWFCk6VgGs8FCAq9vdiYg4L7EeYCyK5jPr5tq2CjZ5oosxBChYTW0Co9IiJICStPr+1+imnDuPLhPtqXskecuu099T0f5XxeGhkz2Bggy7NeMEb6SOOGakdq5cVu5pu+F6jO9O/ErydufIQkVqkr2oSxZuXelXNmph/q7TzevlHpx5aTq3rkStfInkXXjRTZONp5X/iyyZqzIjvki6btFHO4sqRAtUqWWSEIzyajSVAoa9xap31l9L1VqijAXhlTNShJJWieyc6FIyhZFvmoVKvcynA5EGjEO8zPGZ8ZpxmsWi9zlV2OzZ19rstv1+oEY/eKLL5zfc75zPIo+NIHqy2sGQ6DqeQDELP9LHEu4nB8aEP/cG7QTp6TBgjbHIhT76cILL1TzGuY4pQU2iWojYhAXXeUkO389B4nqNhPVQaKi4IvUplKgpg8kKgOHzkVNzrSORA26sZQjEzW2YmQei5JG7WqF8/oiWYnqqjpF9XbMDzu/66KIrUT1DKwzgwYNCqoDJ5M9CJDiVCKBAIUoqgSrOqqioIXktLKYZVJIoWKVms+VSIWMSU1NVcUE5JEV0M6NlGzPzgeFloZlP7bgqPROSJRGx+NVsUT+LCQpxRoKFIpjCraQKoYoCFb+IlGTn5EKRw9JbKPOknD9t3LqZferfUixiFJlypQpikSEJEN5+tLlD6iFnWmr58qy7WtF9i4/0UiLQtYTEh3HfvN0ERS86x0ERZuhfm02qhD2HQodil6rc91QinJtLFu2zLIiCrIclTmEh1WfASs/Cz1mA1KeYxJssxIUON9++61p22XDf7D/g22u6M+4Q7Mbzv2SBN3jmyY2NNSIR3MlNTdTKSbBUz+NkQOZqSW6fatWrVKEM4s5/hyXcCNSeX/mMXWPVZX4gljJzTsk03Ytkf9eda9EVygn/+7dKsNP6a8aHK7YuV7+nP6NykVVQIHKQhvPID/LIEC3zlBjmOxaJJJXpPZDfBBTXSS+obG4B6lar6NI9foiuLSOHxXJ2Cuya7HhiHCJvGI/a9Ka8ZlxGicE+xJClbEAxWpJIxACVYMFeaICcMKwSB9OYKxibCfLOxxAbcD5W7TZlxWoWrWqirUpTWOhTaLaiBho9WKWS2OpBg4SNTM/20nCFCVRtQU9EvNQC2WierHzAzpyWtVcyjw7v6HosBtLBQZ9jDWqOdTZkYoK5Co6GkuhRlU/8zGKQl/Ph73Zjss4sPJTOAYDguCxfVmh5GSCCzlrRR4T5CkFFiv/Vlm6yL3Dxo+FzYo8V1dgB6aJFJ8HFSEkIJ/RKhL1YKb3rq2ro4xFu4pSICNrJUrjRo1l6NChSgEKMQcBVSLgPjL3XZFFnxvtscgkPfd/InGJar+hVOV4sa2oYjmGkKns28To6qopFhgz4XMpoHMyqF8kD9WBw46suopY+CtVETmUJrJ+okj6LqOY9cHK7wqs9VxvKGlQBgXbHd5XpSSkMu9tFThnsXpyDpsNSAGswNxLrCBTILU5JsE21SALL9jXsREYIIXGjRsX9FjoCzgHuXatcm74A9xp1/ceoeK90nIz5ad5E+T2wVdJx0atJTUnQ5786Y0S2zZUkNwTUCF6bQYYxkQq4y/vz+Ih4zHZny9e97A0rd9IUvMyZcXGBTK8TScV+PLF0tlyR2cjEubFRfMkv3Z7kY4jRLqMFOlwgfHc+RKRlgNEarcRqVTZIEMPbBRZO05k01SRjN3GAmFRMPeIrSFSs4VIw54iddsbcTXkfzMW7VsucviE+MgVjNMsYkOo9unTR81jZs+erdSpHJ+S2K/BEKiunwsiFbJSxwmFC3BGQbqz4FzScI2tCQWuuuoqRaJyjEsDbBLVRsSADpNF7fw142pIxQoV5DgrKRmFycO9acmF/i9SSdQaVU40FPIGZ3OpTAtI1EMOEjUI5SM3zUOOTFS7sVRg0GpjfV5HYsavK+hACrDyazu/r0rUaMf1fISJpg23CkkewTQ0YQJtVTdNiBvUY1YpKpkUQvxa1QmUAgrVhpU2fg3s1q4Wfm3tt4JIZUwFB7Pcq5QobCAcn5/wh+QUlFeNqPpUy1THkczREgXZcVOfN4hMkuJ63yJyxl0nVD5FigcIVUhf1NooRPhcHWMbSYWo8rJ2z2bJ3eSwITY0rJhFod0hCVXJoTMaZwgWTdB6iFEI+wjXDFSKGsgFlFqo2qwECwyQylba+mmiQaGum46YDRZisPNbUSxzjrBfgrFf8hpYaP/44w9Tt82Gb4BApalLMM0VfQXECPdmK5wb/oKxoVJ2gVzQ9Sx1O5y1YZFs3LtVRl/9mJpn/bF4ikxeOSvk28U+WrNmjSK5gmmwU1JEKu/Dffmff/5R923ubUOGDFEuh/qJdeXuYdcqsnPSqjnSq0EziYmuLKt3rpUONRKkTpU42ZWVKZ+vX2csvLkCt0O1+sZ4Q752y4Ei1R1Z8VlJErVtptRLW2xkbhcRDTnBgFy5pkj9LiJ12hljX36OyN4VIvlGDJgn4HzA8s9nYeGc8QeCGJWiWfuW1zmYlabyer+fO05eG/eJvPTH+/L87+/KM7+8JaPHfypv//qprNu9WXr17hVUQ0JcCmRxExlhVZxMIEA0wFyO8bCkVdRmxdb4ChavGU85JqUBNolqI2KgyVDXxlIUQnUdTZV0Bio4fPSIulG7KlhjIzQTNd6RUUeMwVEvqrvaWolqQSaqzuCsFkQGpyZQga1EDQw1q8Y7ScZgVcHhAE0Cc15rJbkvjaVArCZRbSWqW/z1119y1llnqUIjmGKHQowmBGYDAhW7I7ZHKwhaCClUdlbZNyGdQmHjpyEKTaSY6GoSwDUj1WwitZYjMgSrp6taIDc3V6lDZsyYIUfkmGw7lCRbxCgCo3aHwYSYTsaTnxHZtdAoHM96zFD4+AAKeQpgisf2LdtK6+qNRPJyJDrJkd3V7Ay3/5eSnXbCLUI+HQs6O+YZv+x8qc+b7q6JFPmNkAw0AkG1YiUoNiECOL5WKUS4ToiiIIvWCiIY9bMV1k2uNQiFYFWk559/vron2wg92O/BLCb6A73oGA4NbfRC4n+vvE8twB85elSe+OkNld9526Ar1N88/N3/nPP7UIDFDu4zjM1EZQSLUBKpvDZRKxCLKBxZ0Bw4cKC697iqabs2aSfnd+qliNRvVy+WC9p0VF9/tm61PDD8FvU3YyZ84T13nHlLtXqGm4FxDNt++UpS4fghidq9SGT17yL7VhkLh55AjmqDU0Riqhpj0/7VHhWprmAxlPs1i4so8ZcsWaKy9bl/B7rf1u3ZIh9N+0Fu+ugxueXjx+WlPz+Qn+dPkLkbl8qiratk6bY1snLHepm4+F/5c+U/8uvmf+Wer5+XyStnn+Qy9Qc0d+N65JwLB8JSA/cEcVahsNH7otplvhEKp0TFihXl7LPPLjVjoU2i2ogYxDnUi66ZqKBefGIh5SnQqtSYipWkfFT5iFaiVo89QVxmeJnsOJWoLmSyWcg+ZKziVY0J3D6e42gqBQlIuL0N/8G+03ZbMvwiHZowPeZnYynX69lWorrH2LFjZfjw4UG9BpMqFDVmW9WZzFL0WJVVisUea10wWbDegAUcwoYsNytt/BBakKSQXBSdrrCKSKVZI/bP/KOHZW96ssqsoxEAqhuOG0XjgXLZyv2xJc6hIk7b4VkZEwpQGP79hMi+lSLkbQ97XqTp6X6/DIUwxc3dF90gXSrkSgU5LvnRNSWzfOEsao2UrHTn4pbEN1adkuVInkitFiL1DetmIASqBosXRA5wfK1W0mC5h+Dg2rECKIqsVN+wyADZDNlvNijCuRcGs93ci6dPnx42DUXKCrh/TZw4Meix0BdwDyY/1yr3gz/QC4kocCtHx8qjF9ym1KhkPU9Y9q88cN5N0iyxoRKfPPbDayHbLhSokDZmOlBCQaRCIEIk4j6BmGOBul6D+rJp/3aZumqufDnzNxk9/jN54sfRcv/XL8qSLSslKSdLVuzbJRPWLJLDR4/K6tQ0Sc7JlFZ1m0h6bqa8N8XHbEgyUxucIgXtL5D0Ki1EKlYxyFPGO8hUclM9qUxRt9bpaBCpx46IJK8rlJHqDSwEcM8mNxXCGzcMbg1fHQs0Of529p9y+6dPyeM/vi5/r5gpaTkZamG7Sa0GMqBDb7n+zEvkjsGj5K4ho+TsFqfJGY26SP8upyvBDn/7wdTv5D9fPi87Du6VQME1wGJ0OOWjMn9jUTxc1Kh6jAsFzj//fFWflAbYJKqNyFOiumSiujaX2pd+gkTd5yBU68YnSr5jpS5SG0uh1tOfPcPLyqVW5CZZ0Fgq07HPgyHunHmolWJC22SklKFuvKE4jnfEPEQyNGF65NgxFyWqbxEF0RUNIt4mUd0rSJnwB1M46oIQJYIVJCTWISssj5CKEFMoC624z0Bsahu/lY1DmFijQuQ4kJHp7rNYQaRCoNKMBMxaNl/lhVI0YUfu3r27sr3/u3aB+n25duedIDFTrMvU9ApIyynPiCSvN+yRZ78kUrdjUC/ZvXlH6VfZaFiXVL21zJg5U5YvX16oezH3Kx2xoyIQKsSK5LCAWWCoUH0497wRqK7kINcgXYzddU+2wtaPQsYKQFBDcqLmMhsQMyyaWNFgiteFYA5UiaU/O/cMmrfYCB1QzkOyseBlNVCVsVhghbsikMxRPrd2kVzYc4i0rmt0T3/217eVGOXt659WC/O/LPhbfllABIq1YJEDGzz3GbPHZquIVK57bO0QiBCJbbt1lK25++WDad/LI9/9T96d/I38tXSaUlLuOLhH9ezAWVXu2BFpn1hPoqRADh46JFVjK0v+0SPy2fRfpBbxLyJKmbk7ZZ/vG1O+omTFNpCC9sONRUJyUJk3k5u65k+RbbNFct3Uf8ypyWDFocFYneZf/iXzDBZxUaZyfnNNMW55ci1Qf78z6Wu547On5deFk1SzY0QP/dv3kicuvFO+u+sNeeOax+XuodfI8O4DZWCH3lItr5K0qNZAHr3qbnnqkrvl01tflhsHXKpqzr1pSfLsL28WEkr5uzjKOYd62KqxLRAgIuD8Inu2pEHkDAu1VuSWF8WwYcMUeRyKzHerYZOoNiIGVRwqSNdMVNAooa563pZ8YhVll2NgqhdfW/IO50e0EtU1izTd0eDJHWo7lKjJRbJhzVSixgXRyCjXoURlVdxG4OjVsquc1uoUOaVJYWVaJEJHExw7flSOOshQnZNaHGIc8Rx2Y6mTgfKGLKhgFDEUhNi6rCgIsRlCDAXSUMKX10a5ycMKQNJQPFht46cI5hgU13jDCiIVhRJYsnGl9OzZU0477TRn7iufffl2o7Nsmx4jRNQ1XCCyoQTIIRo7TX1OZP8aI3/07BdEEoPPPaTAP72SMV7trNFcqW8h/1Dj6tzN3Sn7VTM8XBVqYStjl8iRXKNzcrtzTSFQNVgQIEfNaksi1wzXpVXZpZzHKJusamIF4UxhZvY+Qm3eoEED29IfgWB/s5gYioV7beUvaZEA92jGD641vS083zboShWlRdQZGZTdm3WU+8+9Uf3+ke9fle0HrFOisQDEQhSqQBbirIDZRCqL0ajHN+zeKrk1ouTntVNlzN9fyLil/8jGfdvU/Z/a7JSm7eW8bgPlhv6XKoXv0+ffKC8OGiFjzrtKHjn1dGlYtapUq1JDLbbhuCKCKr5yNck7ki/Xvv+QfDdnrIrP8RmMMcTHtDvHyE2tWveEI2T930YTqswixBzuv0THnIXfsfjoJxiDyExlzIIMp/mUq7J+T2qSvDnxC7nri2flnzXz5HjBcRUdwTn2+W2vyD3DrpVuzTo4BRDemkixmHvuKQPkneuflqaJDVTt+/TPb0qWoxb1F9jVURCzAB4Oyk+9cIkiOxwUsmbF1vgC5jv9+vUrFWOhTaLaiBhoNeahI/mFskHbNWihnmkEobFm9yb13LZ+CzmkSdQIzUR1zb/M8EKi6s7taTmZkn/E6BpseiZqEHb+XEcmKkpUG8GdC33a9nBm/UYymChpJaq28+ufFQcdCXEEi5KNQmByQsEeDFgdhzgwuyCkmOK1reherItHVF9WANUAxRmqDCtt/BB1EFlkYvrS5d4sIpXiggl9hUOGwqRctUon5eHuTt0vOfm5qvNzy3rNDRs72OJowhQqUAjNfF1k73LDsjjkvyK1TCK2jx6WpoeMInTGoYqq6IdIJgOP/QsZsH6PYXtvXqeRsRi0babxv1XricTGm0agAs61Hj16KEUwahorwWfk/EMtbgW47lG70DHdbOhz1YqcOe6FwXar5p48fvx4dR+xYT04VthGgx0LfY0N4LwLBys/5ykETdE4m0GdzpBWdZsqFT1ugp/mT5D/nH2t9G7ZVSlTUQ5alTHPeKYbzFkJM4hUrs/ZC+fKe79/IRN3zpdZyStlzualkpKdrsa9To1ayyW9hsljI26XZy/9j1x35sUyuNMZ0qVJW2lUs54kVKwgVSpVkioVK8rIFi2lS2IdiYmJU7UqNnUEJdeeeZF6rw17t8rMdYvkhT/eU42WijotiwW5qa3OEml7tkgNRzxSVpLI5ukiG/4WyXNRFtJwKra6MXay6BfEYlv//v0VMTlz5kxZvXaNfPHvr/KfL5+TGesWqn0OQf/yFQ/KM5fcI2e06V6IOC2OQHVFXEwVefrie1TMEBnkY5dMDXi7IfCZI4UDaVl0PLRqvA11bE1Zs/TbJKqNiMtEdc3X1ERplESplTy9mqcJ1Y6NWqnVvohXomoS9ZBnEhXbg/6M2CfMAgOdbuZV1Vai2jARuvkCk3pt5y/nyDAuDnpRxLbzu8+AC6Zw5JqnIMTiYzaYpFHoWNHRnvgB1G5WNMICTL4hNa3svIzdjM6lKIn9UdMGS6SitMSyCMF3Rude6mcb951s+1u/1yhAKMZV9IbuXI8aNFRgkj//Q8O+WK6CyOCnjU7EZmHvMqlw/LCkFVSUxZnGgiSLCdjvBgwYoGxvf8+Zpn7esk5To1DdNsf432KUsP4SqBqowlEls0hgpVoEtRHqGKuy2jhPUbtakb0K2YzayAqbINci+yOYYpdFEcY8rjMb1gMbNhZylOShIC6JdyGLu6TBOAVZWXQBlDri/B6DpGFCXTUfHzPhc9Xw550bnlG/w5L+2l8fW2bj9xRLEy5EKuKcGSvnywMfPifv/Pud7JdMOVbBWLBHbXp9/0vk+ZH/JzcNvEz6tu2phCtuP89hBxF6OEfKRUXJHacPVmMlYhT2M5Z/el10bNRaqVmJhWEb529aJs///p7MXLfQ/wZ/lROMBog0oardxnCIkNG9boJI6rYTf6cXPbOSVRQA74uCFFL961l/qFzXp395U57+eYw899s7KnJg4vIZJylluY8ph0SD6vL4b2/I1//8qvZfz+ad5NWrHpHHL7xDWtfzTJj7QqBqsM+u6Xuh+nr8sn8DVqMyN+QcDCdbvx4Pw4HYZd7McUGBbTWGDx+uGrRFeka4TaLaiBiwkqVVaq7Npcg6rV3FsJyu27NZ2f23JhurbO0btlLK1UgnUbF+FKdEZTDXalTdWMsMQFjrSUjVIDJRNfFdxSZRbRTJRGXyxWQSVPSxq22s43q27fyFgTKAYo4MqEDBJIpJsj8kj6+gsLFChapVlBBAVhRqkNMQYKgZrCoEUcDQuAEiiIe/CJRIpchlQoviEpKwT8dT1c9X7FxfyPUB9qQaeZbNajuycrV1PTvZc3MLs7FuvMhahxXszPtF6ncp9l9eeuklFU2gcwJHjBih8j/dwqGqXSbxsi/jYKHuwKip2Me55QwFfEKlqlKw/EeRI4dEKlYWSWhuOoGqwbajSEUJa2V2GVEVvD7nhRXgGoV0otmH2eDewgKQ2a8NQYuyL5g8V+6p5513XqmwMUYC2M9DhgxRCwOhsvKXNMjtRbHuafy4oPsg1YwXMQO1ETZ+BCqvXfWo+v1bk76SORuWmOo8wUJtpY0/WCKVugqi8MEvX5I3x34m6cdypG6dOtK+cSu5uu8IeW7kfUpt2rVJO7eKypNwzOEEZEwgcq5+W7nstHPVvAElKzb3H+aNlzsGX6V+v2TbGrmu30XSIKGuHDqcp3JEXx33sew4sMf/D04TKhY2yU3F5l9wXGT7XCMzHMTGS0GFaNmZflB+n/O7ssj/76+P5PdFk2Xx1lUq1zU9J1PZ54l9wNVJQyjiHz6e9qOzBoVUfemP9+W96d9LudiKKud1cP0ecmu/y6RFHe9zl+IIVCNvPKOQo7Jni84qZghR1Kz1iyRQoJ5ljAgnW7+V42EgsTUseITiM7du3TriM8LNDySzYcNC0B0+NSdDreS5omHV2rIuY6e64TM54OZYt3ot1ck8z2Ejj9TGUqB6leLt/KBO9ZpqEDSTRNX7GgJbW6gDga1EtVEUelEEAlXb+cv7aOfXiyK2EvXkwpFCPRiiD6KAfCSzyUImzSgAmKiZDRRivLYVjbDApk2bFPGVmGg08LMCKCRQS1BwBgpNpKJ2g0iFONSK76JgnCRDlo7JdIHX5Dbdg1F/MN7g6iDXTIPCCjC2KrQ9x8hoKzgmsvIXkZ7XiaXYt0pk/kfG1z2vF2nez6d/oxnGnXfeqfYHZPVjjz2mCBYUlycV95sMlenCqERV0FEw0qRSg+tiW5ph969yNEpyZ38slQuOSxRFqwcrf7AEqgZEHlmHFKFnnnmmJbESrp2DOd+taAJDMcu517btiXPLDEBy89qQWuwnM4EyH0ImmOsTh8DDDz8sr776qqnbZsP9WHjLLbdY/j4sWkFessBR0mAhEQKVa9gdEqslSP8OveXwsSMq15laAeXhG1c/LleeMVy+m/OX3PX5MzL5sS/V3wYLfX+12sbvjUilySbgXuN6L2Msm7xylizaslLS0tPV/KRpg8Yy5JR+cmrLLpIQF6BbRi+6OZoa0/Dwgh6DZN6mZbIlaaeqoyBLU7LSlBp19a6NMmnlLHlo+C0yd9MyGb90umqi9MbEz6V/u15yzin9FfnqF2iySF7qniUiyRtEdi+RI+UqypK0LJm1bIbsTt4hUiFG2fvZHmJpmtduJLWr15Ialaup/XT46BHZn35A1dXr9m6R1bs3yraxu6R7s07y55IpSsyEEILPdvGpw2TPrt1q3oGLxhOJ70qgntKjmyzbuU6WbV+j9gEOSuLoXOtc5iGJVROkca36KsKM/9+cFJzTgDgmFo25VqyKfgqX8dBfMDdnIZ+5odWq8fMdlv5LL71UIhU2iWojosBNFBK1aHOpEyTqZidZ2qGRYavTdv7YUpCJygqhNzAAgv3pB03PQ0WFGsxN1c5EtVEU5cqdbOfX6lSf7fy2ErUQpk2bJs8//3zA/8/kCRIVUs1s8LqQMp4KvGDAhBgS0IrXPnTokLJR9+nTR6wC6l9UM2SNBUuM+UKkUoxgd923b5/K+6TzsAbv361pB5m+dr4s3rq6EIlKLhyoGecgAivGGE0uUraIrPrNWhI1+4DIPy8ZhG3zM0U6Xezzv/7999+Fvv/iiy+UInXJkiWqyYETh9JEdi1UX66MbiiSd8y5AOjqqtC569e0SpDys9IlT8pLpZh4Ke+GRDWLQNWA4OS48ZpWFV2QHljuiciwQmGHEgU1EJ/FbCIYspPtNptE5d5F1AZxDoGq6rCWs1/DRblYWoGSmnvfr7/+avl7Ma5xXYdC8eoNKNm4L+Am8IaLeg5RjX8gSamn5m5cKl/M/E2eG/l/ilDctH+H3PrJE/LTf94yIlsCBIpYGjGyPSXVbMsdkQpJN3nVbJm3cZlya6SkpkiNinFy44gb5fT2PZwNTwOGXtg/Ru0ZpQhN9uOtg65Qyt9KFSqpeujH+RPkziFXy+2fPilfzPhNdavv06a7ahqLMnTR1lVqDF61a4Ncfvp50rSmn4vP7POGPSTncL7MXTldZsydJVmVjaijCuXKSee69aR79+HStn5zj8e5Zd0mqgcDZOoXM35VmacTlv0rDWvWk/YNW6ptJgcWQEiyv7lHQpJi93c97sw5/p45VaavXyD7jqbJ5unvFXJ5uAPHigfEKaQu9SgPIhUCrSVZqIboZTu9LTiEElaOh/5AR0ixKOQ6J7QCQ4cOlSuvvDIkhK1VsElUGxHZXKpo+HbDakaA+trdm5xkaceGRpMJZ2OpiLbz+65EBckmKlH1vkYFHAxoRgIqu2Tb2ijbcCpRXRpLVfDRzm8rUU8GDWFQMxYihQIofFDWsDJuRbFphZWf7fWleAwU2L5R5loRbwBQRjKBpsAzK1PPG5Gq7f68L+cK6r2i6N68oyrglmxdJTf0v+Sk8YAMbidanmWQqHuXiWVA1TP1OSN/tGYLkb7/MYpEF1Bk7U7ZpxRGKH0oRlDMUuTRoMIV2g5/Uu7slhmGBTKxtWTkxYvkpUj+0cKNGlfsWKeKv/rxtaXplrFSEBMtWRUTJTcjUypVTBBjtLaGQHWS3N26qe7IEIZW5AtzrnA+cj8hA9jswg4Cm/fgnmB2xjDXKgsERHCQJWsWuKa4L7LNgSqYiFrp3r27UkKNGjXKtG2zURizZ89Wx8gK10NRcD4UbeJUEsCGy/2suDGkXo3aiqybtX6x1I2vLWt2b5QPp34vnRu3kU9vfVnOfvlGRaw+9/u78uwl/wl4e7h3QFKVdE6sJlJnzJohMzYtlo0Zu9T9+/ixY1LpcDm5sP0AGT7wbK+5nH6BRT49ZqH2rBjrzBE/q8PpMmXVbJWDSj2XfShbKUCJoPt+7l+KHEQsNKrvCNXJ/sd549V49s6kr6VXiy5SvshY5A04KGZvWCzzNi6V/NQ9IkfyJT46R/r2ulBOi86XKkQT1Gsi4gNRfrygQJIyUtQiKnEE1WKryPOX3ieVisQbcF9nTrFgwQI1l2Tewfg5ZdUc+faf32V98ja1nzVpRsMoYhK6Nm2vxukaVaorBTDzCxYr+QwoVMnrHbf0HyUk2pK8U0a983/ywmX/J+0atAx4QYxxE4dRMM4Cs8B+Y4y1qheBr1CxgI7YGqtJ1F69einxAMcA8jgSYZOoNiKyuZRudKRRt0pNqVihgrKes7roTokaySRqdUcmKjk13lC3umE5TC4SAm6GEpVBMxjk5ttKVBuFoVf8sfPrFWlfVQDRNonq1rKMgtSfhkSe1KKs1putkqEjN81VrCgea9SoYUmxRiHA61tF0Opik8LCbGuZOyKVjDpUORSWvXv39nicezQ3lMgLNq8opBTQOWKFlAPY6hd8ZBCcBzaJJBoLmGai3IIPDaI2pprIoCdEKkSrbUGhsmjLKlm+Y61sT97tzFZ2BdvKoiq2yFNbdFH/d++996rCumPHjm6t/NJqkFRaZxCt+UeN/FMNsuNAD4iT1PkSFV1VqlZLkLysNJm/JUU6NTqoyDYrCFQNCkCrbf1EY/AZsBmilDETHBMWVHhts0lUmr9BVlKQmh3vAUHLgk0w1ypqc5tEtRbsX/az1UDJSHYwFuGSBPc0nAy+bsfI3ufKnA1LJfNQlvRu1VXmb1ouj/3wunxz5+vy1nVPyo0fPqqI1VOatJcRPQf7vT0o2VjUHTRokIQD9mUflHkZG2TDtk0SVyVOOjVvK7WPxUm7hi3VgpS590/H2KjnpuVPKB2v6nO+zNu0VOKrVFW5n9/N/UtuHDBSHv/xdflg6vdyVsczJCsvW5GFkIj09WAM3rRvm2zev0My0zNlef526di4tVoYhGyMr1JNEqpUlzrxtZQwgeaP5IbSNEyjfoN2MjD2iHRLrC3lm7YQydwrcjhX5HC2Gku9gfGOhlPU0q3rNlW1NETvyl0bnPMEVzAPg0idOH2y3Pvhs7I8eYNk5eQo8hW1dq+WXWRYl34q51T38XAHPhsPMlZPa3WKXNrrbLni7Xtl58G9sitlnzpHP7jpuUJOGZ+PUFSUIk+ZC+G6YMwoSejxkGu4JElUPcYxJ0VJbCViYmKUC4p7tU2i2rARAmg1iWtjKVAea0LjtrJk22q16kV+TJv6xqQ/TytRI9nO71D9FKdEre1Qou7PMK8hhO6EWFTJ4y9QBoHYaJtEtSGFVKdGY6mjftn5dWMp285vbuEI8RBIUyNfXtcKy6MuHq2ahFmtpnG18VthaXIlUufPny+5ublKYUDjMW/vR4HDOLo7db8iKlHReETdDiKV4oyCbNFnIue8ZOpnSMjaKFEHphvZqwMekZ15R2X2irEye/1i2V/EdYFbhcVEijwIDsZClDyrdm1Uj06N28juqatl9erVSq1WCBDEm6YaX7caJEdW/6i+rFREqUO2HehxdL9RL7c7V6J2zJPYynHSokd/tZ+xatMswgoCNVS2fogFCs0VK1aoa8DshRVek4zRYOzx3gpBFoSsIFE5d4JRuXKt33333aZul42Tx8L77rvP8vc5ePCgWgBjUaokwTjCAhnnpy9okFBHhnTuo5oGVSxXUVrWaaLu8/d/86J8ePMLyqb99qSv5L6vX5A29Zv5pfhjTGbcZOGlpCMOmFuOWzpduSpAm6YtpWFUgjQuV0fqNahX7DgYEPQc1k3jIqLZrjh9uHz0z4+SlJ4i+9IPqGaNNNxlrKWBE/Z6V+CmOH78mKzdvUUy8rPUZ5m+boH6nyrRldU8uuB4gRw+fkQ9V68cJzWr1lAW/Xb1W0i/dj2lbf0WErV7sciBjSIHNojE1TFI1CPemxmNXzZdPvv3F3VMOzRsJfedc4Oqs1GFTl8z3y2JSp4r1v+xS6ap+QbkaZ24mnLFmefL+T0GOetUf8FhYv91btJWGtSoo8bhxyH+7xrtjLzzByy8o7rEadS1a1cpaTAesi3sM3fuoFABEQUxR/QYsFpF3t+xoBiK7GorYJOoNiIKFEbuSFTwzEV3y7wtyyU5I0WFdWvF44lM1JiIV6KyauwNelWPfWAWspxK1OBups7jEMGKYBvmQhOmgdj5dZdUJo42DDAZeeGFFwL+f4owqxpk6GZVZoPtxZ5utpoNMImE/LVKTaNt/KiHrJysQqSituH8oOAnD6y4wpECDfUHGWj/rJ7nJFH1/1EYFUL9LiLb5zhISBNJ1LyM/2fvKsCjuLro2Y27B2IEd3d3Ly1WoKUFatSNevvX3V2o0FJvKfWW4u7uLnF39/2/82YnLBDZzc5ks2EO334JyWZ29L13zz33XLROWoZST0cc9e+Gb1b/I5onymBTDFoP9GrRWQR59Pm7+NjYPGX1oS34e+9a/LbmH6TFJ+Off/641JMy5RiQEy+VYDYfhILixZc0Q6SXnVztMqw0GnBzAEK6AtHbAL9maNa8FVLTswQxTlW4WgTqxWX9atlNcLsM7OhtqLQalQQLg1huW2klH/eb3qP04VNSZcbgls8qybO6jjlUQFOBS4W7Wo3wLmfQqkNWaKsNtZowWgreT7yXqmsiWBXYMZ7je1RaHOYOmYKPV30vVIzPLX0fL85cgIMxx8Xvb1z4GFY8/pXZRBUVqLwGalSdWCoA+WrDUtHMiRjYtifGdxmCHVu3izWDagSv3vFCEvUiMnVMl0H4ZfsyODs6CsUpycZuEW2w9fRB7Dl7GD2bdxTXsbS8HCWlJSJ2bRHcDJEBodh2YDfKXHWiQpBzcFZBjqjiophAXkOn5WYIGzte3xn9J5z3Ow1qJ5Go2fGAu5HILK96/cxtfrV+KZbt3yD+P7rzINw6apbY1sA2PQS5StKXwh75viB5umjdEvy7b31lZVmHpi0xsGlndG/WQYx71iTiikolKwMqYV+55iFc/9GDYh/e/ncRnptxf522yXln3bp1lX6utgTVsCzr53xoywZTprY1SvuKV0Wifvrpp3bri2o791oNGqzwRJX9NU3BzNvUPmOFefegdr0qf17YCMr5WfphXjm/RKJygpUbOVkLWiQQXm4KKVHtmMzWoCzkxR1VqJaW81d6ohoXjpc7lPBDpZqFBIHSpU1yyaMaJGpdgkdLmlWRKFGr1IsqPJKaSpNTVVkpsOMqj4XqOTZU4DWpDSM7DRBf2YREhperRPbmGCsUKtF5qvSVJfcKqMOLS0twJPYkjv9yPzJy4rApJQ0vx+YJApXJlz4tu2DBxBvx5e2v4qFJt2BEp/5C4VLVQpzJxdmDroLbiQKkxSahe/9e+PngCuGhegGO/i19bTUMBkdXk2aI568/1a9MCIa7OKKtkwHoNBXIjJJ+GdpNlL+TeGcQxM7UJNvUhFzWTzJetlpQEjyfvD/5LKix/ebNm4ugkWSn0ueFAbsa558BpjXblX1Rab+iwX79UOUmjLb2Q6Uqmop0S/3GSX5NNZbqLz+wCS9f87AoB+d4/8W6Jfjk5hcQ7t8UUalxuGPR00LVac454bhHlbwtG/aw+uCdZV8KApUJ91tGzMSUnqOxe8cu8fySYOe4wzlY8XFNJytR5THt/PYpcKHPaaCXP1wcnWCoKENRXjoGG1LgrNOJygmn2B0INxQiyNNXKIb5at20GbpFdsTA8K7Cp5Z+oHeOvV7Ma7P6XyFI8PkjZ+LqfuNFFQmvLVXGz/36wXl7N1rhuButngqlBpGoQoTAee+VPxcKApXj/9whU3HHmNmV63WKmZoFSAmkEwlnxTy6aN0vmPnuPYIQ5lqe/q0PDL4et/WahvnT54qxmD6p5qw7qkN8RnKljyr34bkZkl8v/VZl2zlLwfUu14+8DxoC+AzzvlRjrq1LJYfa6NevnxBC0BfVHqGRqBrsCjJxIjeLMgeV5fx2TKLKmb7ayvk5sciqGaWaS8nBshw81xUaiaqhOiWqnEk3/VltkO05SjUlqgADcioMrfFDJTGgRkMpEqhqlDxSycmSaTWaVVGVq4b6TgZLmM+dO4du3bqpmoHncWzbtk2oFKlapBpEbixVW0BDYpJg2Rz92Qj6rxFZ+ZJfaCV6zJbK7WnLcewfs/ePvnCHYk7g373r8PHyb/H4d69j7vsPYurrt+P7L+9D+dktKCgvw/dohRCvJpjebQxenfYA7hwxG/1adjN7Prnrrrvw+/e/4JO7XxZVFUdjTuHr1UtRWCgd1wUkasfJlQofwlSBtfqw1OV5tGshdCQJ+t8GxO8VP4utCKz0QG3Xrp1QojJwpBewmiBhwWeB96saIBnF7TNRozSovJHHCCXBZ0qtQNBaEtW0jFGD8uB5VdPDWgbVlnwu1JgzLQEJVCYN6jK/XtlzFPw9fUXznujUODwx5Q7xc5Zw7zx9QCSpGDuRWH36l3dr3V58fLwgdekzaSuQqHz/v69FEySWwj8w8SZ0DGstxmImMFjCz6+cC1kxoDiRenGjpnJJQcl57vstf4oS/ghPD/RzNyDAUY+i8nJszczDmCCpQeDG6DPonXsEY4tPYVLzlri673hc0WMEhrTvjRa+oaLcv1+b7oIwvX30tbh3wjzcPW4u7hhznbh+r81+VJTNc41M/9Dnf/1AeIgKeBvV8wXG8esiD3E2jnx26XuikROrPB6eNF944l68RgkPkBLiW07swaz37sXC1T8IKz1WhHxx68u4oeskNHHxE+eY6n2SZVxvWJPskytQmgVKx0ALv9ZNI0XssObwVtQVnKuZ+MzMzIStwYQMzxMFDbYE506Sm1w/1pcvqj1CI1E12BXkgEkuDTcHhUbPFzc79kT1NQZxooSjFsWGrEZlCaMSyFNIidoYGnxpUBZy6T7VpOXG+9rBjE6hBBd40t9qnqhK+aGSGFCjI6daJY8kdbhAZ0CkNEhIcbv0zVIDDNxITqmx7zIYrLCslQS27P0me6SaQ6SyhJ8dc6k0WW/0lPOrJFFzLnyziyfgbVR+7f2+xvlk5cFNePnXjzH7nfsw6627cd/nz+K1pZ/g503/YPuJfYhPT4JjaQEmG6Lh7uSK+MChmDf6XszrdRWauwbj3KmzoiHEf//9hxUrVojgmCXnDIRIalSFTz75RJAeUydchd/f+gZbt2zFI+8/h8XffyO9ISMKSDwoEcHtJ4jSRIL2ALJ1CM/nmkNSsDbKvRzoOlPqxJyXioKiEhxJ113ggUpyv02bNkIFTDWwWmC5OssSeQ6sUfpUB6q8qRilGlVp8J6kQppEkNLgmMN7QmlVD8dINpzjM1RXaCSq/TeVkpOOajR1qy+rHI5tcwZPFt8v3bFcqBipPCRe+P1D6KDDhzc+U0msfrFW8omuCoxNWA1DFb4alSHmgDHSJ6t/QHZhLkJ8g3Dv+HmiEoG+zhwHmEiU1yEknVUhUp2MlQuyIKC0UBDSVIZyLnXSA/3yjuHKQC/4OjujBDocL3XCqNHzxdvXp2dD7+YPf0MRPI/9Af2RP84rR82s2Jzed5wgVAO9/YUl21v/LJLmbE8paYVCOQmqu8D+4Nml74sGVl6uHnh+5v2i6ViVMEgNpz5f+7MoqSdZTQuIj258FqWp+cjJyRHnlmsPgkpUa1WHUakSiRoZeF5hPq7rEPF160kpkVkXsNKIyXIqqG0NjiX1pQKt7ZzQp7w+yNzhdjwXaiSqBruCTMDJ6tLLR4kqBa6c5GsrWwg2kqhJWUopUfMUIVHl0khNiapBhly6Xy78nCxsLGVMipQbKswqM2vs4CLEGg84ZpxJMimtqlGz5FEtn1XuMwkjazpw1wSeZypo1fa9YmBIsocet6aBvrlEKoPNST1Hiu//3C01XJKbQiRkVaEcbGP0jo3afIkPXEZuFt7+4wvMePNuvLzkI6zcu0Eohlgi2LxpBEb1GIwbx8zEEzPvxgfzn8XPIwagb0QLtO44BPoWkzGozwBRAs3AbNSoUZg4caJ48Wcktehfe/DgQUGsklSlzYMpcclrKr+K47Jw48zrMWL0SIT1MHp+yerZ5oMBjwCT0sHz9+2uMwcRn5kMD50Bg72dgH63AOc2o6CwEEkIRP/Bwy/xJSWJSnW4Ocpfa0BCnlYNVDerAZKoJI14PykNjg1qkJ0cy3iPK73PJAaY/LAmwBw8eLC4R+Pi4hTdt8sdJG/qyw9VraSjJWDSyFqrnKEd+qJzeFuhJPxi7RJRuj20fR9B+D30/avo0bwTnpx6l3jvU7+8K5JgVYH3MucMW/n8ch1IUi/DqEC9a+wcUUVAb2SeI3q0XkzuqkKk0lPbhKA8GHVEeMvyfDrqHdHRkAuPsgK0CQ7F8N4TEODlL879yZR4YVNTVlGB78uCgfBeUjellOPAjs+hi9lhYhFQO0g2PnrlrfDz9EFmfjZuffUhdOjZH/Pnz8fbr72IY8eOVL6XVY5UGp9NiYWPmxeen3E/9m/aJdYoVAuyqmLZsmXivcv3b8Sb/3yBqKRY8Qwc+28nVjz1NcZ3HybGtYsJVBn8P4lUVmtYmjSjWIIevUS7kPPVQS2CwhXpA8J5mhUjJHltjYZAoipVcWEJiWprC4O6QCNRNdgVZOJEVpeag8bQWIpdkuX9r62kv4kxyE3NSVdWiepqpRJVJrPtWBGsQaXGUhXnlajmNpYyTYrIhvOXK0gSUAHSv79Ufm2NH6rSzRa4MCV5pAY5S+JFDRKVARf3OSQkBGqA14qklJodWFlWSSKYQUtVXcTNJVKn9JY881Yd3Iz8ooJKFUiMSXOnSgy+VwocS/KBM+sqr/8vq/7EdW/dh7/3rBHNMDo0a4Pbr5iDd256Cr8/uhBf3vU6nplxL24YPl003ejo7Qm3M2tECFre71YYZI+5Ko6B9xU9QUmmsgEYF+QkLdm0Z+XKlcLKgIS1aQUHA/3RXQZVepwKHPlL+trpSun40hPEV/rRyfh1x3LxdaJnGdx6zQY8ApFz4B8UFhQguP/VVTZ24mdRBczzS5JXrUCBn0M1KgNUNUrwOC7weSDZoDR4DUkGKW17QMKEnYbVULmSPLMmwCR507FjR/HsaVAOJFCZUFCj0aApOJ5wzrR1KT/vQWutcjh23Dr6GrEeY+f13WcP44VZD4hKBBKSd3/1rOgof/3gyWL8uu2LpyoJraoSj7ZS5tKPk+Xr9LC+ffRsIfzgGoHkKAnU6rzNFSdSnYzzuk6HxLxcrDoq+WhTNBDmF4yQvHOIDApDq/7XYf7YuWjqG4SS0lLR8X5G/4niT7/d+g/KWo8C+t4M+DYTDaB0Z9ejWcoaFKaeEXEgiVGqRy/x9jYBk57zR85CYkIiVu/eiFl334pnn38BEWGheOrxR5GekSEsdZ5a8o4ol/fz8MELsxYg/lQ0rr32Wtx8882iBH/KlCmYcvU03PnJk3jql3dEDO5kcEBIkRdOL9uDuOhYkcB87LHHqiRQZdB2gmpgPqckW80FrRBoCcf9axsiNbkkqLSVPXCtAdcSzZo1U6XawlJwzqLNkBoJy/qc48wFk/x8TrlOszdoJKoGu4Kbk6vlStRGUkYul/Sb21wqKVtZJSp95KyB7GMrX0MNGs43liq3uLEU/1YmYYstsPdojNi/f78gE60h/dTyQ5VVqEoHVrJiQI1yeyrEuKBWIxjkeWbwTR9LtUAyioEPicWagmtziNSuzdqhZXCEaNC48tDmShKVvm6X2OoEtgK8JFK7aO3bomv8V3/9gC93/AEndxd0bd0Rr899HB/Pfx7XDJyELs3aVT0v7/lWKpOnEiekm0VkAI+XqpIhQ4ZgzJgxglA9fPgwVq9eLZo+yeX+cpnimZQYFKRHA7E7pI10mCS+HI8/c4HqhUqYv3dJJOp0P0egzw2I2rcRpcmn4O3nD8/OY2sk80hmM1BQM0ijvyiDVB6nGiDxT3JaaUUtnzOOEWqob+SS/oao0uHzuWfPHsX2SQPE+eR5VRusJiD4vNkSSlnlsIEUvS8JNgni1t6b96QoiWe59oJvX8RT0+/BsA59BZk196OHKy1P5PmYPt+2UqGeTDwn1J7E9UMmCxsWklBsokjf8drWCYoSqY4uwhamTOeIZedOoaQ4TyhNIwND0dSxAu39g+Dl4Qc07YIQv2Bc1WuU6GVBYpRzKpsk89yuOLgJOQ7uiGk2AmcCuiIuNxsFObHI2PQhErZ+iRNn9gkymxUSe88dRnRqvGjIeDE6hbdBzL5Twl6mLNQNIRGRmD5tKjzdXfDt0l+EB6ppST7vhffeew/jx4/Hww8/LJJz02+ZjZBp3YUlAdfoE7oPg3+FO9z1zmLeIQHGZC3/pjoCVQYTHCTbWTFiriXKzjMHxNe+rbpecK+7VfZJsd4uhyX9TLhd4JNuA9D6gESqrdWonOM4ztHjWE14eHgIxbM9zoUaiarBriCrGC0ZMBuLAtK70hc116xy/mQryxtk5BYWiK+eVipRG4M3rQZlIatOGZRb2liKcJHtPS5zJaoSgaOafqhqlfKrQc6yBJykixrNquTOxVRO1hZo1BVUIdKDk80SzFHp1kakMmCZbFSj/rZzhfBEZUKNx3Iu5dJS5MLmUkMXx7jtqHDVYXvmcbi5u2FYp354ffaj6BbZvuaAPycROLtR+r7XXFgDKo94HqhQ7dy5s1DnkkwlSc6SxWDvAHEcGbu+k+wHwnsDPhJJfMxIonYMl8r91x3chIyiQgQ5VGDw0OtxOj4dOfv/grePD5ya9wdcvGrdF6qhqEJWq2RQVqOyfFUND1aOD7xf1Aju5JJ+pcFngEkFpc8HA0xrfVE1EtV+SVRZhapmU0BzrXKUqsaY3ne88A9Nz8vE95v/RJB3AD644Rkh4OB4+L+f3sLHNz+PdqEtRRf5az+4X6ghCSaHOGeSALJFGf8v2/8T3w9u11uQhlQK817gPplL7CpGpPKecPHA3qxcpOfnIi8nFW2bthAqykGB/nCieMAvsrIB1bS+48R5p6L0p63/YHKvUeLnn6z6QSgwYzOSkOQWgtjWVyLZJQQOOh18s6MQeeZvBCfugGNRthCpkAjdG3VEfDXdd5JgZzYdREiTpohLT8LZnGzoDeXo3K0Lfji1W7w/wNMPL8xcIEhdghUcnDd5Hj9b8xNu+/xJOHu7oTSnEJ/NfxH9W3cXfrknDh8Tz8HUqVPx008/CVsdc8B5mZYorM6oDSSW2cCKYEMtU7B5GBHgdWkVSF3IPBLCalniNITkn6XVJ6xOqw9f1F52OhdqJKoGu4JMwJnbWIrqNmYAG5USNd88JWqKQkrU3CLrlajCh660cVwHDcqB/lAECVSW+RJigWkmPr7xOSzoO/uCktvLEdYGjlTnMeOsNIlaUFAgiAZ78kOl0o7qRS6o1dhnnhO1vFaJI0eOiIUviVpzURuROq2vpLJce2S7aFjYIUza9uHYk5Xv4XXeunUrtjv0hgE6OFaU4OSer8Sz3T2yAxZMuLGyQVONOPy71LWChGag+cdQE0i0U/0ydOhQdO3aVZCMa9euRYCr5DXuenKl9MZOV1Va4bBbtV6nR9sQqcv0t8s+ls6FvzOiA4fj1PGjaK+LhhNJg9aSb2xt4H3F4JGljGr5o/IzGAiyyZTSIGFEUoIktNLgGMHyTj4fSoLJCtosKB2QUnVF0sUaQlwOHO3RC+5yJ1Ebgh+qbJWj1H5wfL5t9LXi+2X7NwgCj2Xn7857Sqzbd5zej3eXfYVv73hDkH4nEs5izkcPIT0rQ8xtVPLZAmwqxPGalmNX9JSSeGxeRAKQSSVLoBSRWuLghh2pqcgrzEUnd0d4urhiSPvecCoxxm/e56uGeC6v6DFczFMsqZdjpL3njgg7tUAvf1EN0rF5V+gixqHpqAcR0qofQrwD0KY8C71Tt6FL1mEElEuNh6lIPZkYVbnvvFfLcovENviznfExKCsrwU4XHTIqikQjqqen3y32Qwavp2+gHx76/hXhM8v1eSf/FihZH4uuzdqL8vnQsFDMmTkbr7/+Ot5++21s3rwZEyZMMGtu41zSvXt3sW9MbtaEDUd3IL+4UMS23Zpd6CMvl/EHeUll/daC9zCvvZr+5ebOh5xbrEnSKQES5BqJWj00ElWDXUGeXMxVopoq1GTZv72CBulEdkHNPjJNFC7np+eOtY2lGEjL5dr27E2rQVkIAsKk6RhhibKQSRW9DZUgjSVwJIFKsqE6zzBrvEVZRleVJ6c1oNqBZAtLnpQEAwwuoNVQoRL0q2SpuVpqnZSUFBGQMDixVCFVE5FKbzwqTziG/7Dlb1HiTzDIZtDGgHXDhg1SAHrVXOiMAWLvpM1ivL9vwg3mPdelhcApqYEVukgdotXoBD9ixAhBMudn5gI56fBPPXhBKf+uM4fEV3qvuTu7IibmMFbHxoifje81GSfOxmJIhA7O5QWAewDQzHwvYn4unwcqUtUCS+NiYmJUUaPS5kIu3VUSPCckgNVQ3zAg5bOhNEjOWuPjyjJjBqhacyllQBKeYxE9Fy8HP1Q1qjGY8KIvNfHRyu/E2ozKztdmPyLKuFnOvXTnCvx0z7siJmGH9hsXPgpffz9VPb5rii1WH9oqvmdjI47XXM/wPqAX9cWNpOqLSD2clor8sgqgrBgtPN3Rs2k4PFzdgSLjeGFM4HFOpY8r1b0kgalGPRJ3Cp0j2gri8kxyDNqFthAKUcZgTOzBOwzofo1UqRHYRihTvfPi0T5xCzqnbIdLQSrScjMQlXrhuNI2SFrXnEpNwntHjyOuvBSogGgaFhFwoRWU3sMZXx75F5uO7xY9OZ67+j6MDe3NTq7i94mZqfDx9kbvLj0wZ84czJgxA//8849YO5jbaZ1rTiY1qUatjizkuf9nn7Q9EuQXr2vYCIugr6wS4DPNtZAaPtqWgGtxKnVtrUatL1/UXhqJalu89NJLIgDgIF6VuT/BReUVV1wh3sNMPb0+ZH8sDfYBmYAzV4lq+j57L+f3cfc2yxM1yNhYqqC4sLIplDXINXqiWtNYypT01sr5NchgAwDTe8zUJ1WD+YQiF/rWkKgkAqqbN60Bt6uGZykXlvJiV0lQTUk/LDUUriSeeK1IQqlVxk9v3E6dOtU5mK2JSKXPHMEyz47hbcT3+6KOCN9Trq34d+zgKwjz9lJzjE5lyZjSc0RlArBWnNssgk54h1rkhWopSDrQ37Nnl+7oV5EkShtLA9pWKl+puCL6tpb24dtfXhTq2kFezsh06iCO1TNGapyF9hMqyzLNgdxoimpOtcr6GXzx+VBDMcrAl4GVWv6lamyXY5DSTauUIFH5nFIpZ4/BY0MEfaCZJFGj8sEUcsOXhuKHqjTmDZsurE6o7vx6w6/iZwPb9sQz0+8R3/+49W9sOL4T39/9tojJdkYdwhf7/rigeV994UD0MWQX5opKvf6tu4l94H1ARaE1aw9riFS+92ByPDIKCxDp6QVPFzdEehrn5BKj0t7ZU8Rn+6OOITY9EQGevujXupuYHw7EHMfV/SaIt/28fVn1n+0bDnSbAfS/FQjtDugd4FOSjQ5J2+CZelT4qmbl54i5gGSyW5kjHPR67E5OwIakFJSXlaFlsX9ltYWMnacPwG9COyTnpQtv2c/nv4SJPYZXNvLMzMvGqejTKC0tw1WjJlZaE/GcBzYJwrbDu7H5xB5BsJMErikOZRM47t+BAweqPE42OovPSBL32YhOAy75/W5jwrNni05QstpCjQaKloI9DhoCicqkhBrNKk3BxL89NpdqNCQqPT+YCbnjjjuq/D2DARKofB9Lzr7++mssXrwYTz/9dL3vqwYllKhmkqjG9zGTZm7DmoZezk/z8ZrATKxcem+tLyqzvGwoYq0SVSaz6XepkWQaZHi4GElUk0WWJZ6oGqSmUgwarelGrCaJqsZ21fRZZYJVDaUoPeNIoCpN/Mpg8ySW8Vuroq2OSJ3Uc6TwQ43PTEZWXjYMFQacS4xBmTMwfPhwoSKUkdHtegpc4IwKjHOxIJF3eq30tc1oyVdOZTg5O2OEQ6r4PsqtiziHPN6dZyRlar9W3VAUux/fn5U80gY2H4CBgwbDtzgRSDkB0I6k/fg6Behql/UzoCWJqsb21SI7uV2qXpQO2DgGUbmudIMMbpcBpjXl+PaqwLmcS/k5r5FAtaUfqmyVw/lKaTCGuGvs9eL7VYe2YF/UUfE9mwk9eMXNlc2nDkQfx1szH4WDTo8Vhzfjfz+/Xe/WFNtO7qskeRlbyGX8HF+tRV2JVPp0pubnIKukGMHefgjx9IIuT5pnZKTlZeNQ7EkRGzGupRL1katuhYeLuxCdcNzmz2mZcDCmFmsWj0Cgw0Rg4J1A007wcHZBs4zDgkg9lxon5nQ+F3u37kJuUQGic3NQUlEB31NxGNl7+AWbWrJ9Ge79+gW4eLhCl1OKr+94vTJpumrVKvTv3x/LNq5CSWkpurfrjKTcdHyxbglu+OQRtFswBg5TWuLDY7/j6nfuwqTX52PQMzPRdsEYTHv7TnHPmFadyaAalcruiwk0XsfvNv8pvh/XdYi4L01BcvZovNREsU+rrlC62sJcf1e1IPuE29JagIpYkuRyIz214OnpKZ5Ze5sLFSFRueChjxg9mNTKrNeG5557DgsWLBBKiKqwcuVK0dDhu+++E4w3fTteeOEFfPTRR6p3HtOgHGQVo/nl/MamUnZeyn9hOX/NJCoRbFSj0r/OGphmEJVQomql/BpMwY6khLw4ZamSLQOTyzVw5AJJaVUNF8Asr1SaROV8zQW3GgocLljVIGepbmV5mFqecbRNYABSlzJ+c4lUzqEz+0sK009X/IAQN384u7ggXZd/ScnkofxSpOml+cJ7zyLzPrQ4D0g6In3fahjqA/qSPHQvlQK3sHF3iev/03+/IS0nQ8xV3Zq1w09LnkJGuQ5NnBww75pHpPt5/0/SBlqPANzqpnaSy/oZnKsBORmghrKDzx6fQaXXzgykqM7k/awkeJ65XaXVqFT88hmxxjZBI1Htk0RVIzloCZjEoEpMaascGV2atRPqQ+LDFd9Uxh3XDJyEe8fPE98vXP0Djpw7gcfHzRfzzlcbluKVPxfWG5FKleXp5Gjx2awaoMWINWX8ShGp9CRlJaCXhw/07gHwd3QAco1JJ51OEInRqbFijeTv6SuaLQZ6+QnbHNHI0AAs3bm80lbhtx3LxRpC5lc43pB3uWRf2Nyw41VAy6EiXgxI2oPSzDhk5ufggQcewNdLf8ChM0dQUV6OsNwsFMVm4cYbbxR/OmfuHFy54Dq88ffnwmJgTJfBOPPTdnzz+WJx3M8++yx2794trHD2xRxDWkkOPl35A4Y9fy2e/PltYfNARbA4Z64eaN0kUlgEkBSmLQF9a//381sY89Jc4fVaXVm/aQJt3dHtwuqAYgvZl90UtBrgtpsFhl7g52otuD+c42ytRuWanGux+vAkNSdZqDZ62eFcWGe5BTNgJCTZjY2dYLmY4gPNwSw8PBxjx47Frbfeij59+qAhgJ3mSLCaBkjjxo0TylU2YuCgezG4ODL16WBASPAhr2umXP47taXRjb0RDcnRi89lVec0t0DKJLk6Odv9OfdykYLSjLzapfXBXgE4nRiNhIzkOh23/DeZudLAyYCSyqPSirqdwxxeB4NEZtv7dagrtGf/UjjrHS8oAaNHqiXnR4lzau/Xg2o2a5tKcT5XOijkNlk2rXSDJnobkrxQ2n+Nc31mZqYqaxYuxunfqkazKq67uIZp27atoudEJlJZuUMileflhqHTRZOJXTGHccfIa5F0YL0IjmRy1dSnLMm5JWYVHQJidwGFWYBbLfdX/F7AUA74RgBeyhPkVSEwfodQy+Z4hMC7eS8MDS/DY1+9KoLUER37w+Hw7/joHINfB8wfeS0C2cAl9SQQtxugN123WXX+bK6V6Ym5ceNGtGjRQvH7mdsnac9Ow+Z2pzYX3FeSC3wWud5XQ+VqjbK+uoCUgaCSyj2S1DwPJNXq6ifNsfvll19WbJ8uZ3AunD17tuqfw+utZnNAW5bym2LO4ClSd/j0RHyw4hv8b8qdYlyZM2SKaNj76aof8dPe//DoVbfh5VkP4vGf3sT7y78WzUEfvnI+1IasQowMDBWd70nysTxcaQshmUjdsmVLped0TclKNofKKypAgHcwAvx9oS9PAErygeJcFJaVIT03E7qAcuHj2arJeXuf8vQoXBfaBLtP78e5pCj0MtrL/LJ1GXo4N6/8TDZFJEgUcy3EtRvHN37lvuqbD4I+LwUeBTvhm7gLaU3bYOSEMeizZwxOp5xDgK4UfmVFeG/hl4ITIWm6t+AsClz1CHQPxB1jrsONw6ZjbEhvPPnkk3jiiSeEl/u9zz2Mb0+uwN6E4zAwoOP6o7wCZUl5cMvXYUDrHnj1fy+gVeSF9gAkQpftX4+Fq34U5f1T37oD/zzyuSDqZXC8Z7UOmz7y/LIR8Y9b/xG/m95vPDyrEPH8tnNlpUJaaXDOPHToEDp27GgzYQc/V54P1VCc15dtjSVz4bp1RpukxkyisgsbPUg5iVx55ZXiAeMDwEUEMyUsiaJPFonUfv364YMPPhAPoC1RVfmf/P/qypJeeeUVoXCtStVq7YKXsngNliMlX8rE5RbkY9myZbWe0zOZkrF2RWnFJe+3N5yLkxYM52Kjaj2WnNRMFBQWYP32zXBKrrtaZNX6NeKrs87RqvN3LitB7E8+nO3+OlgL7dm/EMkJSSitkLypXRyc6nR/WHNOle4GXd+gSoBWNdY2lXJ1dbWLkke11KLcLvdX6fNAkpOeodVVyVgLNpIiAayGytWUSN2xY4dIePRv1hVbow/gbJo0t+46c1BULJgGOSk5GTjo2h5XlxyDA5/tTe8BY5+p+cOSJG8zhNW9KQwJyTfeeEOoGaj8/f333zFlypRq3x+RtEPa34ih8NbpBCl2MisGDg6OiCwGfvnjTcSWOSHAxRU3XXGL9Ef7fpS+thp+QYfluoD3G9fOfIbVaIZDgpMEOwUADLaVhBzcqUGiUpghizIaeiDIa8jt0r+uLmCQzrGHCRw1/KMvFzAZevr0aeEJrSbkCgtb+qHKja3UmlNkuDg544ErbsajP7wm1IN/712Lq3qNEr+7ZcRMpGek47stf+GD1d/i8cm3i+ZDzyx9D2/9uwiODg5YMPEmVffveMJZ8bVjWGvxDHI8GjVK2j+lYS6RymtD0jm/pBBtmjZDsLc7kJctvL4rshORVFAIamT9nRwQGRwhEnZsLJd/cBn8YlagJ3QI1AOpZeXIT9krSvMzinIQ2rkFekR2FOvj8ePHiwQ11alcv/HYWQ1M0o/jJseRiOA2CHI6CNfcJCSknMGnh3YhoGkQXDx0aKvLx9DmbdC931Bh2fbML+/CvV0wPHQ6PHbVbZjWd5w4Flok8kWP1Kd/eBvfRUvxIEHP3Mcm34bJvUZLDbNqAJWit4+ejVkDrsBtnz+Jjcd34dbP/4c1T31XWaLPc8lnl2sN+pUv2fkfMvKyhEJ3YvcLLQeIcymx2B99VNj0XdVT+WvOpDfXVRQDKD13WgKudcmp2RKcO7nOVBudOnXCJ598gkZPolKVwMVqdZNV3759cdNNN2HhwoX46quvBKFaFxL1sccew2uvvVbje9jhlIOZGnj88ceFBF4GJ05mJ0gO1/Wh4kTPgH/MmDGqeaM1ZrDj/FMbP0WZoVxYMnDgremcbjmxB9j+Lfx9/TBx4oVqGXuD7oAnFh/6F65e7rUeS4pnEQ5nnkNAWFCdjls+p527dwG2AIE+/ladv22n9sH9xEqEh4Ta/XWoK7Rnv2rsKT6HzHxJ8UwvX0vuDyXOqVxhYI/ggpkd36lCtLY0UWmyU62SR5INShM3aip7qNbjdVKD+GXARgKOayClyhcvBp8rrunWrFkjArcnZtyFSW/eijWHt6JHi45IykrD+qM7hGeqaZllod4FeUGd4ZO8H9jzNTDm6Zp9TukxSgR3qPO+spyT6k6uP6dNm1bzm4tz0SLrmPi2qN34ykZZXGN4e3rhytJ9mJ0h7e9t4+ZJwV7SYSB2J2djq1SopuC1o7KI5f1KB2ss9SVJSyW00oQLnxUGvLwHlewOzjGD4zoJAiXVudyuGuWZ3K419gMkPBiwswyZz5mGuoH+vxwDlVZdV1dhQesJW4FrlvraB6o8qUr8dM1P+G7TH+gU3qZSPTm6eV9k5+Zi1altooyf6tOnpt2NF377EK/99ZnwKL1n3FzV9o0KR6JFcITgAqjor6siXCkilY1/S8pKUVZeBi83L/j6BQEVWUBxDlLjD6NQ7wQfnR4eZWUiWcQESoh7OTrk7YZraCgcwrpjktNhLD6yH1vTMzA+wBu/Jhbjn73rBIlK8NpzXuaLc4Z8z3OdQR9PjkdRsbFISyyEQ3EG/t78B84UlsHXwxsD/LwQH3sIFY4uKNA747FvXxbxGXsRPD9zQaWFAHEs/jSe//VDUVZPUGHco0Un+Hv4CKuHiytQagPVwp/OfxEjX7heeLUu27eusoEWQV91joVrdmzEn3tXi5/NHzlL9DS5GD8ZVaqD2/WqtK9TEhxLuC9cF9qSROX8wnUN50RbxY1MGPG+YtWaGv0CZDCOoRrZlsdqKep0Nn780ZiJrwVUt9x+++2oKx588EHccMMNNb7HXPWFnN02hdz1rLrAifsvd50zhTx4WQMltnE5Qm5uxPID6HVwMhlcqzqnpSwPNJaj2/v59veUMt95xQW1HkuYfxMR56XlZlp13AVGT1lvd0+rtiOUhjrAzcXN7q+DtdCe/UufadlLic9zXc6NNefUnq8Fm7CQrCQBU1eopapRo+SRiysuKJUmZ+n5SbJTiWYUF4PEDRsVKEk0mW6bQZyaxIHc7Zj3CM9TWVqBaOLBMn56GBMrDm6+gEQtMyrLU7rNgc/KA0B+GhC1GWgxpOoPKS8DMoyd5IPrfg2YWOXLrOM6vhxOhnIk6L0Q2Frarz92SYHb7EAvbIjajNNl3vBwdMHMvhMZoQI7vpD+uN04qTOyAqDFA5uBkQRg5ZbS4La59qXiUUminc8gt0dFHINNpcBtyiXySpOocnMpJX0kuV0SoNYGj0yGaSRq3cHzx/lGrWRSQ2oqpVbiszqM7ToEB2JOYPupfXjzny/w5nWPCT97zpkPTLoJQTsD8cOWv4Wf5n3j5wlVKknVl37/WJBzLA9XGvlFBZXJdzeDk6iCrQ8/3NqI1LTcDBGfUsXLn3v7RwDFGajIjkVuXiEyShyhz8hGctEBePfuIJJb7sd/B7I9gNBuQP/bML99Er557lpklZeihZu0Pl21bzWemnpXjfvGz+P+8UVuJL+JAX/99zE2xx6DziMI942ag+N7JP7G4OKNBT+8IRTGtFl7/bpHMaCNZGuYX1yIt/75QhDnPBbO8zP7T8Bto2fj87X8WUXley0FidTZg64SauU/d6++gEQl2rRti9c/egxlLsDQjn2rbBhFpe+feyRVLLelFmRfVGtECtaClVF8UXEcGKic72tdm0vRh1ktRERECJKWFkS2POeWwOpVvanhLeXk7Hb/8MMPC6WqteDCjANUTS9zF0MDBgwQUncO+jKoYGKGgYtLDfYB08ZEctOomlBUIr3HrRE0lvI0Esi5hbV3DJQzc1TVKNFYypqmUo2twZcGdZpLESwB02BZ4EilmTWKFGaYuei2h5JHLuK4oKwquWktGc21hNKKA2bumaxVQznLbbOZZ4cOHVQhaGVlC5s9kHhiV14Gjyxxm9BigPg9A7Cy8nJR0p+ac34tqGPGjMF+aB/Aw7joXldDVVFesuSH6ugCeChHyNWEon1LxNedri0Q7BMoGqesObIVTqXFmJC1A+/mSc/UtX0m4ejBIyg7uRpIOwU4uQK9pM7VSoEBA9VDajRmZdDDwIT3uFp+bUpDjdJ7Pt8MBpVukMGxl8+ENd7aMomqoe6wtiLDnppKqdEIsrZn/c4xs0UJN5vV0vdUjv05vtw/4UbcOOxq8f/3ln8trF1kT9Tnfv0AHyz/RvF9okCEYAOls6fOiGpXtZpsWdJsKj0vS/h5Mmbi2tbRqwng6oPsggIkRp9GalIyggOC0K1VqJi7RaIo8eB5ixj2lQkIQavgZoDOAYcrPOCk0+FcZhrOHVpu0X7mufvj94w8uLs4Yli7PiiIz0B2ShzKKirw/ckTYv5m46ePbnq2khRdcWAjhj53LT5e9b0gUPuEdcT6J7/Du/OeQmx6giBQIwPDRNOoumJoB8l3/mSiMXFqghXHtiC3vICZWGEZURU+X/Oz2Lf+bXqgZwv17DtYPcTn3ZrGgfbkSWrrfXBwcBCCEHuaC+u88iYhSd8Kmt2SzNy/f79oPPDOO+/gs88+w8iRI/HHH3+gvkDPMe4Dv1Itwe/5YoBIsASfZOmcOXNw4MABrFixQhgm33XXXYoHZBrUA2X9ctZPJkhrQmGpNPi5Otv/NfY2Epm5hRKxWRPkToUp2elWdcrMNZKonrV43tSGwhLpOsj+Nxo0yGDnTRlULWio38CRc6TSDY/UKnlUK4CVS/mVVvaQGCNxozRJTTCA47br6sVoDqgI4LmhQlJWe9Mjta1/M3Rp2kb4qbHEjwGNrAwh3Fykcb6wtAToOsO4sS1Sg6mqkGP02/IOrbnkXymUlcDl3HrxbWLoQHGv/rVnDQoKC3G/cyKW5esQX6ZHqG8QHp91N9ydgOzV70mtNHg8bsp6VzIxQBUdSXGloSbZKW9X6W7cagVsapGzfC6okK8rNBLVfkhUW3sk2orIJTH6yJXzxXi/6+whfLfhD0EycXwRJOvY64TvJbFw9Q9wc3LFQ0Yf6Zf++Biv//25ouMEyUrCVeckFOZqeILXhUilyIVEIwU/FI0Y9A5IzC7GgZgUuKIUA7t2hb+fHxyKMoDyUqnhVJHRUsqveeX2r+wlVXbsTMtA/5Aw8f3a9V/Do0iqoK0NtBN4a/0fKCqvQCsPV8wZNR0De7RHQXEBdmTk4kRaitjHd+c9ia7N2iOnMA93LHoa8z55BPEZSQj29MdDg+di6SOfoG1YS2FRsPHYLrHtIe17W3Xu/D2le1dWEsvYH30MS3f8B3d3Dwxu2hVOwj32QhyLP4PlByWRHol9NcF5mc+ZXLVsK3AflE7+WQqOeRz71EZbO5sL60yiPvLII0KGTsXp8OHDMWnSJNHcgheanmW33XYbXn31VdQXqIDt0aMHnnnmGREU8nu+2K1PZrj/+ecf8ZWq1Ouvvx5z587F888/X2/7qMF6cLKW1YwyMVcTZKK1MSggZSsDlvObdjSvCswYywpQTo51RX6x1HTHw1olaiO6DhrUU6LSJF5D/QWOVBjypQbZqUbJI9cXSgePDH7U8kNVa7vcZ3pHkXhTq6STBPDRo0dFibGpz5xMpF7debT4f1xGkiBTf9+5UrLZoTrITSKNMxgkDb4P0DtJStMtH1b9YQVGBWY9qVARtwcO5cXI1rnAp/Vgsf+L1y5Fr4pU9HPOxbtZ0jz14KRb4OHqht76E9AVZiCnwg3oPFWVXaKfH9WiagQqapGdps03lATHDj7r9kDO8vnj+CkLNuoCjuHWWgJc7qgvEpXX2ZZ+qHKVhy3UsC2bNMOto64R3/+1fy0yKi68528eMUOU8xNfbVgKnV6HJ6bcIf7/9r+LhFeqUs+0HJsU5RUKyxI1vRotIVJZCl9uKIeLo7PoXM+GjIeik+Ee1hJNfdzg71ABOLpK9jB5KUBBpmg6Jby2X2kJvNIK+PtB3NBnhKjMom1BaDOppH11WhZaJq8A8mv3YP515wqcTkmAh6MDbmkeQvc7lGedxdb8UqSXG2CoAG7vdzU6hbbGnrOHMerFOfh910qxBr+66xi8OvZe3DPj5kqRGe17KKoJ8PS1Wv1JpS5Bz1wZGXnZeG/ZYnEOx3UfgmGd+okkrim4viAhz/eM7ToYHcLqbmNlLtRKQNaleaEtYe0c11jnwjqTqGwu9dJLL4kB5M0330RCQgLuvPNOkdHn65577hGDSn1h8WLp4bv4RYJXBgdadrZj1ooBAvfbFgOvBmVK+gvNKec3vsfUBsBe4eUmLdzkibom0I/Hz0PKlrP8pq7IK5I+x9PFWiWqfB00ElVDDUpUrZy/XgNHLoq4SFbaF1YNstOUnFUSLNXii00NlATHaSoY1CJnGUzTykENkFhnh3smyqs6L7xfbpo8G91D2qHCUIGC4kKk5KRXKlWa+kqVEMlZaYBPKBBhVK7QU7SqBGCRkYRzsUKxS9/VsxuBnYuANS/jhWHOaJX0H3B6rRSkmqDi7Abx9ZBTU3SNbI+vVyxBYXYiHnFLwPt5Psiu0KFzRFtcM3ASkHYajsf/hbe3Fw56DUFqZo5qqhdeT5LjSoMlt7R/UFrNQlECn3MKJ5QEn3G5uZQ9KHqo5FdCiao0aXw5oT5IVN6TTBrYkkSVqzyUrh4xF6M6D8TQtn1Exefi7X8iKetCQu/6IVMqS/nZ/CctJxPPXX2f+D9LxJ9c8natIhBzUFRaIsa04oJCkYCyFS4mUvOKJJFLeWkZDh88JObKroNHwDUwDA7O7nAqKwAcjOutrFiA/uH0C6dVTEmeRJDu+Bw+i8ZibJMLbdl2ZOajuLQQ+m2fSArWanA2OUYoOgED5rYIh7+zk+BsX1vxA84VFkOvd8RL1zyIcI9gLPjkWVz15q3CZ5Ql+q9Nuh/T2o/AqGEjKglUkp5sJEmM6TrYarFDdJpUedI8KKxSNfvOsi9FbwT+7KbhM0SCmOeU11jGj1v+xomEs6IB7QNX3Iz6ANdv5It4v9sKnLe4VrfGMsaeSNSTl4MSld5NcnDAk8sBnV0mZfD7+pD+arj84GaJErUReXEys8lSGsIcdalpSb+12V6ry/mNtgqNgczWoCzoySTDUa8lteozcGTgr0YwpgbZyQUkF3FKk7PcVwZCSidUSSwxmFKanJU7UdNOSS0vVPqgcg3HhljVgcHh6zc8LpR4nI84136z8XdBBIX6NRHviUmXuidj9FNSR/vCDODQL5duTA4IXSy8FxkZJh0GNn8ALH8K2PcjELtbBKdhXnp4F8YBB34BVr8I5CRW/llu7H7xNc6lCXT55fh+659Y4BqPVJ0rfsiRAtyXZz0IB25/8/siGHVsMxJhfa8UTbbUCmZYksreAqaBo1JkJ6237MW/1LS5lJLgmCR3Om5IASYJA+6XrRVP9gqeu7i4ONVJVH4Ox7368t5sqI2txrcdiOaBYSgoKcTLf3xyiaiDXdufn3G/INv+O7ABR+NP46VZD4p9XrTuFyz49iVBnFkD/j2fOX9fvwsqJWxNpJ6LiRJCrcS4BEHustlViaECJW4BcPCNMFraGJMlGWclBWpuEsC177zfgblLgcA2QG4i3i7Zggh9MY4nnEWLoHCUGgzYWqSHLj8F2PpxlUQqqyo+WPGtsBTo37IT+vn7wqB3xJKtf2Fl9DnhVs6fD+vcDwv3/4alR9eI917RdRjevOIBhLoGiGMxtTlce2SbmONZht+nZRerz9fus4fF1zZNm4v1AhtYHYk7JeL0hybNFyIgrpt4XePjJcI1Oi0Bn66RmmLdO36eUMTW17XluSCRauvmUlSg2wpKeH+bg8uGRCUuHsRtOahruHwgE3HmNJaSFZCNgUQVnReNalTZq9QcEjUpO9X2JKp8HTQlqoaLYOqTq5Xzmw8SdCx7YUOFhlSaqFa5odxUii97aNJBQoSecUoTnXIlTU0EpzVgVREbcHbr1q3WNR1VnNcZu+Nm5eXgUOwJ7Is6gtZNI8XPzibHSiX+zQcB/ka10JqXL90QS/0JS5IoGeeADW8BWz4Cko+KHxV7N8NZt444HjAKb2wvwe6S5kjJK0NeSjRA9U6ZVEaYlyapPR09QvHb5mUYUBGN/vosPJftI8Lbq/uNR9/W3YD9PwHpZwAXT6DffBEUM+lAmwM1wGeGz6McONpDWaJceq/GdpUmURkMMzBXervWkqjcJz7P9hQ8NiScPn1akB1MFDTmUv6G0tgqKyMT946ZI0g12rm8+c8XlVYuMiZ0H4Y3r38crk7OohR868k9ePXah8Ua7+dt/+KWz54wK4arDqIiLz8fATbqWH4xeP/R5iYhJREpySlo0bw5goIlexoeZ4l7IHS+4QAFJZxkyoqArDjgjOTNDf+WQOuRQNuxwK2rgNDucCvLxyKPcyjMzxKVEcTK8kAYaAeQfhZY/yaQGX3Bfvyy/T+h9KRa87b+Y2CAAavScvHL9mUoM1Sgk48XWoe1x5VvzBfkKEVJj4+bj6vCBqIkv+gSApW+pXwfMbn36AtK8OuKVQc3V6qa/9y9WqhcudZ48IqbEeonPcP8P6uHSUxTCfv4j28I9XHfVl1xVa9RqC9wPziuKN2Y0d6aSynh/W0uicqEmNqfoxSsWt3fcMMNmDZtmnixHO7222+v/P9NN92k3F5q0GACmYgzq7GUUa3aWMg7dnyUzctrAzsOE8lWKFHlcn4PhRpLaUpUDRfD9N7SyvnNBxd1zAxbQ6apERTKZILS21XTIkDNZlVKg0EFyVk11DdUGVCFyjJ+c8nqxybfLual0ooyZOfn4Iu1SxDm10TYdBSXleB0UozULGrYQ+fJzygpKKtEZRnzedKWakzeS3Lwwu95vwsi9OBSYP0bEsHJ0kgGn+OexzanAWh1xb3oMGIGjqVV4OrHPkbL+V9g857DQF4qEL1VKJiii6SAv1N+NBJStuNWXRSWlAbiYLGD6Pb81LS7gdSTwIGfpZ0ZeDfg7i8Cqu7duwu1qBpBlRw4UmmsNHjPMLmhRok8t6tEie7F21WDnFVjuzKJak05Psdx3lcaLAfPG58btYU8DOw1ElXah8iQCDwx+XZRIXcg+hi+Wr/0kvcNbtcLH974nJgfDsacwLJ96/HW9Y+Lv1l+YCOuff/+OvdsyMnOEdfb3cO62ERJZOZkCVUnE6cVJeUoM5aAk0Q1ODjDiUpUz0CgvEQiUVnKn3RI+mOPQKBUEq1wrsH4lwBXb7RzKMJDromVwplTOWmoGLIAcPOVFKzrXgcO/Sosa1iS/8euleJ99K710ZVid3omPjl5FrqKUvTwdofexQvfbvkDp5KiEeIbhN8fXIhBEd0Eccr5/+JO9H/sWiWaSrVq0gzdmrW3+hztizqK08nRokk0beK+3Sw1IL9p+NXo1bLzBe8NDw8XY/VrfyzEqaQoYVH37NX31rtgz9YE5uXkixoUFCTuRTUSyQ2KRJ03b55g53lh+WKjJvo5yf/n79i4SYMGpXG5lvMT3sbmUuYoUZv6mPjSWatEtdITtTF502pQFpoStW5ITEwUc627u3uDKuenUpL7pPRCVw2LALWCUp5XLjbVUEZxcRkREQG1FF1cKDN4MReBXn6VHnh5xYXYeGQndp05KDr+EvujjarN7tcA7pLHG1Y8eeFG9A6CNE1NSRJerGvWrMG///6LdevWYefOneItW7Zswebfv8K5L25G6rafkJ2dhRy/DqgY8yzQbQbgGSQ88C/2xc8rMWD83W9In5NwQJQSLi+XFEIdcvfh/fyV8EYJXMoKMN0lC++PuRJNHAwSScvuGy2HAS2HVO4qnxeqJY4cOaKKh6UcOCqtxKCShCWSSqtRZVJJ6eBKDlyVPsccmzhGKQneE7x/6SVcV4SEhIgxXYPl4Hnj+VMbvMdt5UVqWuWhxjxoLkiyMZnFfWCjqfsm3CB+vmz/BizfL3VNN0W3yPb4/NaXEeTtj7Mpsfhm0+94ffajgljddmofpr99J1JzjI0FLUBBTp54luUqN1sjPT0dW3dsE4nTls1bCMvD6JhoMX7JZKreNwzwCQeK8wCdA0D1bo5xPHb2AHKNXeAP/Qb8fhfgIMWtt7ikwj9FIlsT8tKQ7egNjHpC8hrnHHVyNQwrn8Pny75AWUU5erfsggFteuBMzFE8f+Q0+OnDA7xQVF6B7Ynxwn6BzaGWPboIZWn54p4aMWIEWrdujW3btlWO5YdiTmB/9DHodXpM7TNWkTXdwtU/iK9DO/QV3/P8TOg2DBO7n+9fYzpnnStKxm+7VorPfn7GAgQZmybXJ9RqdGhvRG59kKg6nc6u5sI6k6hfffWVWS8NGlRTolrQWMqUqLFneBqVqOZkb0OMZREJWSl1/jyapEufqwyJ2ljIbA0qeaJqStR6DRypSrOGhK0KDLCULrlXi+zk8csBoZJgAMV9VbphF33muc9qkLMMjs+cOYOOHTtaHCxRRdIloq0oHcwtLsDLv3yErhHtxO92nj4gvYllgH2NFUqxu4DUU4J4Ygfeo6ejkJWdjYKsNEFSdOrUCWPHjsWVV16JiRMnQl9RivEh2RjhuA8h3o5w8g5CfORkbCtth5WbdgpCs0aFZUBL6WtuEn5c/wc2FvtgbfMZKIYeTjoD/HVluNstDR95JWDclieBV1sDJ5ZLpZf9b63Su5Sfp8ZCn/dMYGCgKqX33C7vTSXBe0WNAM/b21uQkkorZzk2CUWzgqCfMgN+a/bVngLHy5lEbQhNpWy5D3zO+fny3Na/TXdcP3iy+P6LdUsE6XYxqGL88rZXxVcSph+t+g7PXH0vArz8cCj2JCa9Ph9nkmMsIpPzc/NENYYs9LAlqODcvXs3wpo3E+OWv7efsFlKSk4SzaZklb7ezQ/wbw44uwMOzkBBBlBmHDMoIMiOA4qygXWvSdUZzfqhzNENeh3wimEfInyl5N8+JibZhLHvzcCgu4RydUNcNA4f3wwXvR63jJgphDYP/PczCsrL0dHbE04wYHNmnpijp/Qeg6X3f4j4MzGCQJVL+LnPFMMxkcnYj9YAxIhO/UXTKWtxOika/+xdJ75n1QoJ3/5teuCmEVdXuebgvfTdvn9FU6cbh00X95otwGsq7jkblphzjcrxR2m/dEvAtVl9NJcKsaO5UJ2uBBo0qAhXS5SojcgTlaDPDZFXWPtgHiaTqJnG7GYdIC9QTImuuqDSVqGRXAcNyoFlvzIcNSVqvQWOXBSSpDD1v1KKjFOaRJVLu9XwWWVAqHRTKTUtAljupPT+EidOnBDkbF0aYdEn7Y3rHxeKleLyEhxNOovDx4+K/59LjUN8hnEOGnwf4CzNYflL78WqVauEPUFgaHPxuZFN/dC+fXuh5qm0K0g9jg5xv0B/bqPYnmv70fC9+m10HDlLEK09e/YU98bq1auxf//+qtWATtK2DsTF4kDUMfj6+iG1rAxpBicsKg7E//Ka4IfSYBSH9QFcvKXGHwxm43YBiydL3nWmx+voiHbt2uHYsWOKl7HLpff20gRKrVJDnmP6DCpdes+x6eKSVSXAcdSa7dpT4Hi5kqhqJB3r4t9ty/4jVdnqUKU4vGM/VBgqhD8qfVIvRlPfIHw+/2WhkmQ88OGKb0WDoMjAMOHhOen1W84n3GoBE0E+rp7imUvPzYStcejQIUG0eQf4VsZpHGc4l3F+Oxt1Tvxc+KOzpN9P8gxHSS6gM87lLO3PigWitgIlBZKH+NWfomz0M4JP9dGVY0aFtJ29546c//CmnVEw5EF8k5QnlK1XhwWL6pBnlryN+JwsBDk7oZmzDotjpDl4aPs++OjGZ3H00JELCFSC9xUTmFxvffL3N8guzBXbGt9tqCLn6Zml7wnvXG7TydFJqGEfmHhjlRVovIce/u4VQfp28G+OuQOnwFbgdeP1taUSlOshXic1LG7MhVB+K5zUvCxJ1AceeMDslwYNSkMuCS80Q4laYmwkwW5/jQFexnL+HDNIVLlDMjO/NOauC/IUayxV1KgUwRqUg6nFgxKm9ZcL2ACIqoG6Qg747YFEZfktO3YrvV21yE5781nlwjgmJgYdOnSo8za6R3YQChgiv6QAvx9cgwAHT1ECt/rwFulNrt4o6TxDfOsevxV92jTFsGHDEBzZDnoSA1TmyCA5eeQvOGz9EM7leTC4+QND7gN6XldJispNH/r16yfKEXnvrV279lICsiQfObk5+D42Fd4+Phjm64wBscuxv8wVT+UGY1FRANyv/gQuU94FwnsB4X2AzlMBV18gfh+waKJEqpqAHow8NrWaQLE8VOlOuLwn1VCzqEXOMsGhtPpHLRLVWoUrx3KO6Rrqfy40B0yWqFVlYalVji1Rla0Ox+E7xlyH9qEtUVBciJd//7jKajnGL+/f8DQmdh8myLQv1v6MqX3GoEfzjsjMz8GMd+/BX3vW1LoPHN9bR0iNCrMKcoVnp63AfSHhQ6/sPKPNmq+7lCh0dnERJCV/z/lVUN+0tAlsLZXqs0EUPb0JVj2kngDSTkv/b9IB+O1OuJ74FxvLpfN9naNELO05cyHZ/MeBzchy9kWIixMmu+biy/VLsfn4LnA1HeHiUEmgtm3aHE9Puxv79u27hECVwXUW/F2w7cRelJeVYc6QKcK/1FqsPLi5soEUVa2dwtvg4Unzq1zzZ+Rl476vXxDXtn1YK9w2aIZodmlLqOXR3RBJzPqs4rD3ubBOJCofQNPXokWL8Omnn2L9+vXi9dlnn4mfURWgQYMtlagl5VKwwKxXY4CXq6fZnqhskCETVElZqXX6vHylyvllRXAjafClQdksr3yfOijcybwxw1r1DYkELqCV7h4vb1fpbdqLRQCJNTWaYHHxmpmZKVSKSoMl9SQjqfyzBo9NuR0tgiNQbqhAQl6qCG5Zgrrq4BYxX9MuYK1uICocXKGDAYFbX5RUVZ5SmSLyUs4TqDu/AI5L5YRpXh1RMfJ/QHB7pGSnY/3RHaLhBb1X2ShKJtxIptKOgOWIe/furSQh447vwYGUDJw0OMFPV4IJsX8io0KPh/LDQR3p1f0mYErbjsCaFyVFUNvRwKzFwF2bAN9IIDNKauBhAj43LOvnMSntlcayOV4LpQNHPkNqqFlIqqjRXEqNoE1WjCp9zawlZ+1JfXM5KlHl+1Dpuc3SfbAliVvTnOnk4IhHr7oNwd4BSMpOw8t/fFKleIPve/bq+3DzCCmZ9uvOFWjdJBKjOw8SjQhv/fx/+GTV99U+n/w5icsWEc3h7iwl09JspEZl1cOBAwfQuXNnoRRMz8u6oGKQKkqO4506dxL7fOrkKem4/JoDfhGSD6reSCIW5UjND3OMSbm0U1JS0dUHJ9wiUGIAwvSlGOCYj1PRByW1qlEkI4hnJ3fMjQjGzqREfEav0bISNPdwxb+pOeJ9nQOD0adVN+QmZlRLoBIJmSlYcXSL2O8Wrk3QLMD65ATPy31fPy++ZzOrvq264okpd1QpbiL5fvdXzyImLQFNfALx9pwnEBneTJXKDHtr7KRWAtDSz1fbGzbEjubCOkVPNPuXX/SsopIgLi5OLFr5YqdEqgKuuOIK5fdYw2UPmXCRibmaUGKcxJ0bicJNVqLmmuGJyuA01Epf1DyFy/m1xlIaqoKsUNaUqPVLoqoRkKmxXTV9VpX2Q5W7dCvtW5ecnCxKyirL3BUC/cZYctiihaTssfY5/vCGZ8TcU1BShN2Jx+Cid0ZSWjIW//uTaFzVZ+ho6HvNkf7g5Gog7SzgZVTXFmYBpYXAsb8lBajeERW95iE2cDAKKwz4btMfePnPT/D7rpVYd3Q7vtv8J95b/nWl5zY/l13OR44cKRQbW7duFZ50mSd3YFWJXiTx7inYAZeyQtyfF4bMMgPahbbEa9PvAFY+KzX8CGoLDH2AG5PKLq94Vdq3A0suOV5+FpWSJLcv55J+mXxX2i/N2hL5qsBxhGSv0mpcjURt3CQqry19b5VOOlq6D7YkUfn5fFU3Z1K48b+pdwrRxcnEc3j730VCcXoxOE7fPno2Xpy5AC6Ozth+ej9Ky0sxs/9E8fvnfv0A//v5rSr/lmMMx3ba2gR6+4mfpeSkwxY4fPiwmJM5D5iKVeTmRzqmCg0GMWd36dIFcbGxYj4yuPsDTTpKvqauxnNZZByTRTWGAciMlv4/7nm0GP84fiuWiOsH3FORWFyGgm+uAWJ34setf4tkZaeItmjh54+nT8bDYChHmKsT1qdK89KYIF+ENW2NJo4+KMwvrJZApZL287U/CzK7T7tu6Na0rZizrQGP/8aFjwqlMeO/q3qNwhNT7qwyFmTDq/sWv4BTSVHw9/TFxzc9J84lKzPS0tJs6geqVqPDhqgErenzuV5U+zqE2NFcaPVs8NZbb+GVV16Bn580mBH8/sUXXxS/06DBlo2lGp0SVSZRzVCiEpUkquxJZwHKWb5kJKHlhlZ1hdZYSkNN8DAqnR3YsVRDvQSOahGTagR6avms8hxYq76sjphVOthmEKFGQykSdWwSwqBUCfRq2RkLJtxYqRAq1JUIReiKw5vRv39/BAQEAGOeklQ4DBb/XiAFk2y6QcTvB06ukr7vPReG8D7ILMrFO/99hV1nD4kghmWjwzr0FUokKlaWH7iwKzSDVn4WF/ynjh1GQVkajuYX4YayYwgpScdL+cE4Xuoogv7F81+Gx+Z3gJwEwCMIGP0U4GgyT7U0+sHlJUsk60W+neHh4YKEVhq81qmpdasgqW8SlaSIGp171VDe8JqxZFXpskglPFF5/uqjcUdjAglxjmH1oUS1tQrU1iQqFexUydfUMJGl2o9PvkOUgHO8/mzNT9UST+O6DcVn818UHplnU2JxNO5UpSUMS9Jv/vRxkYwzBW1O6J/N5zjMaFnGOaC+QV9WlhyzjJ/jH6v2qKLk94Fe533FZSKYc9LgQYPFXCGI1IBWgF8LwCdcemN+GmCokEhUfi0rllSqAa3Qo+NgfFQWjlIDMMS5AH0dCxCdHIWyH+ehza4P4GYoEc29njtyBtml5XDVATtS08Rmbw4PhKd3MAoKitDGJ7xaApUVHV+t/xUZeVnietw4YgZ69ewlvNLrOlbyut+x6CnhdUtCeXrfcXhy6l3VK1C/fBaH406KeZkEarNASQXLuYUJDDWSlfbUXMrWSlR57lR7H0IuJxKVsvCqFnr8Gcu4NGhQS7VmTjl/qdErx1n2nbFzeLmar0Q19UVliYalYIMQGdZ7okokqqZE1VBTcymWemmo33J+JcFFsxrBphr7yv1kwMPFeUNXtxJqWAQQrCKKiIhQtFnJA1fchJ7NO4lyRiqScosLkFNagO9W/SqITbj5Ar3mSm8+sw5IPip1LSZOLBcNMoQnXEQfHIg5jmWntwhC1s/DBw9MvEn4703rOw6zB00S791+Yk9lWb+pRQGDvxAk4ZMz0ZiuT0CX8jQsKfLGP8We4ng/uek5tDj5G5B4EHByBcY+IzodXwCW98vQXbpkpgqJvqjiuBQErzXvUaUDFt6bani7qaGSUSNo5HVviPtK8QnHOHsJHhsKSKoxIVYfStSGQKLa0k5AbmxVGzqEtcKCiTeKZ23VoS1Ysn1Zte/tGN4GX9/xhvib7MI8rD68FfNHzhIKVSbHpr99pyhZr8pOoEWwRECeS4lFfYMKzebNm1dWhkSlSWX4Qd7+lXMpK6tKjfMSmyfx3JHEFERqVCIMIV2BJp2kDZYWANkJwr9bzH8kUZloFKSsHwrdg/FLiTQ3LXBPRZRzIPKKi9CzNB6POZzBntMHsDMjCyUVFTiVIXEyd4e4I8zdBYkljgh1D8TEUeOqvX9+27USp5OjBcHJ8881OcckJvM4l1oKzscPfvcK/ti9WvyfCtTXZz9arQfq7V88JQhUWiF8cMPTaNVEUvc2FE9SJsWZcCfnZSuoUZlhCXhf18c+hIaGXj4k6tSpU3HjjTfit99+E4txvn799VfcfPPNmDZtmjJ7qUGDCWQ1ozlKVJaIEM41ZE7tCbLXjjmNpUxJ1PhMy5WoRcamXMwoW2Mszkwsy0MIN80TVUMVkO0ihKm9BrOVEELV14CCQnqEkUi1B09UeZtKdzpWg+wkQcektNLbJflA302lCQgGSl/c9opQipZVlCOtKAsOLo5YeWIrtmzbKhGOY54WjaYEfrsTCGwjfR+7S3zJCu6K7zf/ia83/obSijK0aRqJhybdjMigMEk1evQfdI76Dy6px1AYuwfpWz6TPOWMAe7JkycxaOBAHEs9iJ7lKRhiSMWOUle8kR8o3vPE5NsxMnsvcJqNTHTA8EekjsgXI26v9NU7DHC+NJnIa0JlFskcRc+ho6NQ4CitGuX+8l5qaOXs9bVNtbZrLTHLcYgKO47rGswHzxfPvdoNl2xNYKqVoLT0HJh7nvu17o5bR84S3/+87V9BplaHYJ8AfDb/JYztOljECyRPp/YZK5Jm+6KO4orXb8HppOhLSdSgiEol6sVJNDVBtTjtdVq1alX5M3n/WjWJRL7RBo2CnzJjcs3RuLYlEScTqSfSy2Bo2lFqNkXkJkpzDAUstLUpPz+etG4aiY+Kmwg16gjnfBQWZGGNrilK4YA2hfFYveJDFJVVIK1UOg83BjhgYpMAbM1hDAbcPGl2tffv2iPbsOXEHjEGzRs6DU19z1eltG7dWpColjQ5zMrPwZ2LnsFPW/8R/x/avg8+nf9ildU5FPjQB1cu4f/0lhfRIax1vTUvtAQkzG1JYtr68+vLUsDf319ca6U91hskibpw4UJMmDABs2fPFt1K+eL348ePx8cff6zMXmrQUGVjKTPK+Y2BQmNRospl9eaW84fJ5fxWkKiySrCuKDbpnKmV82uoCv1ad0Obps3RrVl7W++KXYABFRfy1pSik/BUWoXJBR7JH76UhL2oWwkSVCz9UpqYJVGntB8qLQK4TcUsDVi2mX4GiNqGoJxoPNJjogjM6Nl2JjkWBmc91p/ahV27dqHcwRUYskD6u/i9kgLHUIGyzBicSo7Gy1vXYueZg+LvuwS1wm0jroFnfhKw5ztg12KhHtWVFsLPeA9npccCB37G6ZPHBYE6cOBAZMVsRUzUXkx3SsHhMhfclxMqGklN7jUad3vlGRtX6YBhDwLN+lV9TAd+lr62HVvlr7l/9GxTy79UafUNnyPeS0qXJarlX0qyV2mVrxr7yrHU2uCSz6FWzm8ZrJ0H7UWJKicobU2iWjJnslyfTfuIT1f/iN1nD1X7XsYGL858QHilEltO7hENiGgPQJL0yjfmY9vJfWJ+ldWwVH0yPmGiLi6j/hoPRUVFicSjPB+TwI1KjRPft27SDJn50pjNsnRZ7GMqRJGJ1Kj4ZJwpCYChaRfpFwXp0hxK8Q8J1KLcygZS7UNbIa7CBb+USITr4JIYtCtNRbZPC+QW5SGS35eVo9wATAxwx4IwDyxPyUeWzhP9OvVCl8h2VR7L5uO78aeJWrRTuDGZaUJoMZlHgZw5IBlKVemy/etRYahAj+Yd8d3db1f5Xto33PDJI4hOixdNpEikkyyuCg2BRLV1Ob2tlaj1dQ68jOO5La0T6o1EZVaKZCmz8Pv27RMvZgb5M3qnaNBg08ZSRiLQSeGg3tZKVHPL+UOMJGpincr5ixVtKkWwREeDhovRNqQF7h43RygSNNQOlikzS2tN8yKSE0qTnfbUrEqNbfKaMNhVertyGaXSqlkSfyQAFdnu2Y3Ae72Ad3oAX4yD0+ejcPuZF3AiLAnvecZjoCEFZxPP4mDWWRHwCiJ14D2Al1EFu+ldFBTkoiAvHam52SjWOaF9UAju7tEX493L4LD/O2D/z0BWDKB3AEK6AD2vQ1lEHyC4PZxcPJGREIW4w1sFgerirMcff76GuYjGqTJn3JEbjlKjKub9jmHQHWeJqQ4Ych/QekTVx0RC+OAv0ve9jc2wqoBMoirddEKNjsByObs9qEZJTHJ/7WFfOZby+bdGPcPxXLNBsww8X0o38asKVOIpnXS0BLxfmfywZbVOXebMawdOwshOAwSh9tY/i3AiofrScD7rN4+YIcq+SaoejT8tyDUSe2xMNOv9e7En6Xglt8D3U/lJHI8/i/oAn28SihSMyYhNTxSJQtqeBXsHIDlbqkoI8PITXp+E50VxlEyknk4vQWKAMYFHP9ScJKNfuA4oygGyJfKyU3hr8aNXCpogtcIBwboS+BiKkFZShrSSCizNc0GJwYBens54LbAIx/IM2FXmgYCgYMzoP6HKOX7H6f34ZQcTicCYLoPEdboYcrPGmJiYGs8L575/9q7F/YtfwOaTewSxzeu29P4Pq6xkXH90B2774ilBOFNA8eVtryLS6IFa3VxIUs0SRWxjIzHlpKItG2xxDFL7GngYn297mAvrRKJW9TDxoLt27SpeF5On9IvSoEHpxlKFpbUPZpzYCCeHy7OxlGy8nlWQKzof1kWJam1TKZlE5aLIlp1NNWhoLJDVStYocLgQq6lBREMhJrk4V0M1qsa+yko0pffVtIRRSbCUX5FmVVlxwDdXA2mnRVOmcp9mKHLyhQE6eBelY5ZrNr7zicUG1z2YkLoeR1N2o7CoELv27EX5hFelgDE3CRk5UrKvibMej3TuiDtcUtAqZTf8805Bl5sEcB4nadpuAuDkhoqYnchOOAaUlaCoVC+S+T27dBDn6u+v78S0omOIL9PjttxwFBp0aBvYDK+GeMDluFRmiMF3A23HVH1MJET/ekDyp2szGgjvXe3hBwYGimuvtIpQLfWNWqpRpcv81PJgU2Nf5YSUNapZTYnacJWonC9tTWDa0k6grhUhfIZvH30terboJGy9Xv7jY8TX0uh2RKf++OLWV9DUJxDJ2WlC6clqJcZzC/f8ioWrf6hMWMnKySPxp1AfYBk/4xiO+TJOmZTyp+dloaC4UPj7B3r5Ii1XsudgqfrFEETq4CE46tAOpW6chw1AYYbRNsYAFGUBqSfFe1sER8BR74DMCgd8USh5o3qiFJvTsvF0XpAgViOc9fgs0hkFZcBf+c7wDG6GzhFthUjhYlAV/KOx3H54x364okc1iURANE+kF2h1fqC5hfl49c+FeO+/r4WHOa9X5/C2WLrgw8qmsaYkNJuNPfz9q0KlO6BND3x+68u1Cih43/FlS19UWytR5aSi2uX0tc1zapO4jo6OQuVtD3NhnRiNPn364LbbbhNKgurAG/3zzz9H586dhUeqBg1Kwc3JfCWqbOptjadnw2wsZR6JygmMJSV1Kek/T6Jap0SVr5Pmh6pBgzJghpYLDWuUMWoEhWqU3cvlvGoQnmqoW3lNlE4WqWERQMUsFc1sHmE1qOosKwJYlvjYaewc/DmiZq2E7qk4YN7vKO93K9LhggB9OW7Wx+Dx0x8g4uQHqMhJwq78pqgI7S42E1KUAp3BgJYOpQjLOiF+ZvAJR6ZHK1S0HQd0nSE1eko6BOQmIzE7HaWlRSjPiIMu6axokOUd0BTb/3oJ/eJWIqrMATfkNkO2QY92Ic3xc49I+ESzzNAADLobaDe++mPa/L7U9MrRFZj0Ro2Hz+eI10fpAI/b5D2ltPLDXpSoam1XLSUqYU2AqSlRLQfPV32QqJyDlK7csCc7ATmZWZd9oEf2Q5NuEaXaFIC88NuHoplQTWgX2gJf3/kmukV2QEFJERIzU9EjvIP43XO/foAnl7wt/FM7UqFp9EU1Ny6yBmx4ExYWVqns5Hk5kyyRqPTt5n4QYf5NkZWfKzxRGfvIcdjF4L3bb9g4RAUOkbbHkn7GXgajMjV6m/h5s4BQOOodhaJ3Z6kUk5WWl+NQqSM2lXrARWfAorAKOBdk4kipO+K8wuHk6ISZ/SVLHVNsOr4L323+U+z7wLY9MaX3mBqrUZhsb9KkSZWWNdtP7cd9Xz8vfGyPxJ0UCtTukR0EgUpPW1Pw+pA8/XytZJHDfXt7zhNmW8ZxPrTl+FgffqC2qCJpaCSqPc2FdVrpHz16VKhNx4wZI8qYrrjiCsyfPx/33HMPrr/+evTs2VOoG7788ku8/vrruPfee5Xfcw2XLc4rUc0gUY1K1EZDohqVqMzgySrb2hAq+6LWkv29GEXlypCoshJVtmHQoEGDMoGjNWXY9lLOz22SlLQH1ayadgZK+6FS4ch1nCLnVe5a7x6A3FK98Fpt0aIF4OIFtBkFhyvfhPPjp/FAWUfsKHWDEwxoHbMa/bbeiqbHvsbBNneiQucAB1TA3VACHRtssDtxUDsYwnujwCUYupI8IGqLFFjqHYGQrjji2gwFJeUIKitGy0A3uLp74Pjh1Wi6432cLHHETbnNkGVwQNsmzbCkYxBCso5C7+SCxA43AO0lr74qceRPYNWz0vcTXgYCzjcQqU/VqFy+aw8kohxgKt0MQo19VUPdyrGY18qaAJNjuj0EjpdjOb8a86U9kahM5PDZrqsalpVo/5tyJ0J8g5CSky4UqaZWX1XB39MHH9/0HCb1HAkDDKJBbs8IiUhdtO4X3PLpE4KgpW8qcSROfTUqx3j6hMpIykpFXlGB6GrPWIv+nkTzoDChoiWCfQJrXKvxuW867QWU65ygKyuGgeIfdrFnwvDMejEX0v+Vn0FulXMa4WAox4YSaV3wSmAxWhnykGVwwXKXcDi7eaJ3y85SI0YjSJr+t38Dlu5YLr4f0r53lSRrVWCy1XR+yy7IxZv/fIHX/vpUnPcTiedEcnJ0l0GCQPX1uDDpywZhsz+4HxuP7xLx+NPT7sHDV84X189c2JpAtPXnNwRLgfoiUb3sZC6sE4nKjsBvv/22yMh8+OGHaNOmjVg0nzolDWDXXXcd9uzZg23btmHixIlK77OGyxwyGVfbBEyUlDcyEtWktN7ckn55gRGTnljHxlIaiapBQ0MCy1ysDRzVUNao0axKVowq7QdqLxYB1iiAagIDIrlBh9VoOUz6em4Dkg+uFU03Lj63Xh4+ePyJfzGnpAumZkViT6kbHMqK0PzsD2i761lEu0slh3pDmdSZOJFq0yTo4vfAL/+U5IVKkNBsMwoVAa2x/NAeFBbkY2QTD7i4uiEhMx0eK57EnmIn3JobjjyDHl1CmuOPtq5oknNWeM0VDvsfTpac7z58CU4sB5bcJJXx95oH9L3ZrFOgBomqpn+p0ooa+XorvV219pVjVUMLMDmm20MJ4+Vazm9LElWNyglLwDGISQJrkm5UYz49/R74uHnhbEos3vp3kVCT1gSJcLsb942fJ1xfEnPSBDnIn/93YAOufueuSi/NfVFHoPY9QGLH1FqHxC4R7t8USdnpQtzi7uImbNDoh8oxPJiKzMJMID8dyE+Tvl5kR+cVFI7ybteI7ysKM2HQOUiWMjnxQMJ+sR2SyoSnTkpUcX6jZc61bjmY7pSJPIMzDgd1QbzOXZDWM/qf519IgC/ZvkwoRokJ3YZhet/xZq+r5PmN6xE2o7rv6xfEV17HaKP6ln62i29/7QILOF5fNhVjs6mk7DSh0P3i1pdxZa+RdqcElecNW3aNtzWRyzFQ6UaP9jwXWjUjUBlx9dVXi5cGDfUFN2OHd7nr4eXkicqsHclIEpN5hfkIqMJn52JEBkqZSDlDai7oX6SEElXejtZUSoOGhlHCyIWwGkEhF5dKl7Jz0axGQw+1PFGV3qbclVlpwpf+ZoqRqEFtgE6ThYKzycan4H39b1W/zTsAK59YjJEvzsEV2e6Y4pyDl33S4V8QD9m1TYR0tAZgyX7HSYBnExQ6BwD+LQG/CKmDcfIxrDq4F/HxpxDp6Yx+LsVISjoDw5kNWFLohbcKg1ABHfqGRuL70AJ4scuxVxNgzDMI8gzFnuXLq36Gjv8H/DRX6o7cZTow+V0ymWadAp7LI0eUD+LV8gRVept87vmcKq2a5vHTdkLpfVUjELaWRLUX9c3lWM5vaxKV84Bi47UN50s2inpi6h14esm72HvuCD5d/RPuGDO7RjKPv7t+yBRkxKZgyfE1onETfT5j0xLENrLyc4T358nEKFEyLlfsKQ3OmRzjTM+D7O8a6tcE51Jixfct/QKRfXI9mkTvhG9RGpz35koVFEwOcm6hwpTVG/Q+dfcHAtsIr2/n4QtgOLIUDqWFKNO7wIEUaVE2sOc7oFk/0bTqVGIUWjtIsW9MuRNaOpTgec9UlDkEoiSkA/7Kc4eLEzCoXS+hXiUYL3698Tcciz8jzuX0vuMwpH0fi46d9x6rGV/87SPsiz4qthmVGicaful1ejw/4z7cMnLWBX/Dc/P0L+/gYIxkzUPfVapPzS3fr2ousKUnqrwG47PApuq22gc1EoDmwtpqi8Y2F2pdXjTYbzl/LUpUBp4yiepsw8WP0vB2kxRoctfH2sCyEiIqNd5G5fyyJ6qmRNVg33jllVeEJzgneFrWTJkyBSdOSAtEIioqSixSq3r98ssvFzRnpA0OF2LczsMPP3zJwuS5554Thv6DBw/GyZNScwGlAkcSCBwflQ4KuU2lFaPcptLerdwmyxPVUKKqsU1eJzWsFxS1CJj0BgzugfDKj0LginsvUdrIaB4UjtX/+0ZUOPxR4oN+aZH4z6mKcnkGndnxMLQcjjTvTjD4t5A6FZcUIComBn8c3oNApxKMcCtBSmYiCk5vwHN5gXijMFgQqFOahWNJSC68dOVSU6jJ7wF+kUJJdUnXeyp+Nr0HfH+NZCPQYRJw9WeA3vz7joE17ymlVRpqKTHVULOoEeBxPJGbyDTkbdYnicr33H///aJDOJ/hgQMHXtCjgsf29NNPC0U4fz969OjKSkEZrBTs3r07mjdvjkWLFtn1XHg5lPOrkaC0VYKQ3dgfuOImcS+sPrxFlJebg5beofho3jOi4RTLyVkmH+jlL9SQLBNndd7+6KNQC3KDR9M1TqqxcVSgtx8y0mLQInY92u76AO5b30fwmeXwi94IRO+QGkSxmiInEchLAXISpEaMsbuAfT8Cfz8ILJ4CnWdTsT1dWQEqdI4wMNlz7F/hAc5KRI5avZykpNLRcld86BkPF70DnELaY3PQEGQIawEXjOw0QLwnMz8b7y//RhCoVO/ePHyGxQQqmxL/uP0ffHt0OXac3C+aZbGEnwSqv4cPvr3rzQsIVI4/f+xehes+fEAQqJzrX5r1AJ69+t46E6gNQYXJ58/W5fS892yphG1o5fy5Np4LNRJVg/0qUWtpLEWDaxmNRYl6QXMpM8v5IwPDxdfo1Lg6KUitLeeXFcMy+a1Bg71iw4YNuOuuu7B9+3asWrVKkCZjx45Ffr70LLKxDW1uTF8MABnkTZggeTCSZGHQSLJh69at+Prrr7F48WIx0cvYsmUL/v33X/z555+YPXs27r777ksCGmvIOpnoUYOcVDrQ44JRaWJWXoSqoZpVmkRVq4xTccLXqykyrvwcZQ5u0EdtBr6eKpUtVoGWwRHY8PQPoqwz1+CAGxNd8IS+BwodTAKsilLJA7UoC+5FydClnRJkZ3RGIX46fAB6x1IElqQjMucUjsafwjXZEfirRFJqPd7CH58EF8CV17fHbGDss5I/a1Wl98V5wK+3ASueksjUPjcB13wNWLhm4LnkfWoPqlHuqxplkWooPNXYplokKsdTa0h0c6/1LbfcIuafb7/9FocOHRJzEIPD+HgpUc5eFO+//z4WLlyIHTt2CO/jcePGXbDtm2++GU899RR++OEHQYjGxkoqOnucC9Uuc+e9YuvGUmokKG1JIvdp1RXzR0jE249b/8b6oztq/Xxegw4RrfHl7a+hQ1grEVu4u7giyMtfqFHXHtmGNYe2Qm0S1fSasCJQZ6iA04ll6HH4S0Sm7oM+/RRcs6LgWJoPvasX4BsBRA4AOk0Fes0B+t4iWcV0uBII7wN4h0g+36UFAJWn0MHBUCpK9cXnFGYAWz4SBCoM5RjvLJFL3qhAd6diOAS2hNPwB5AAJzg7OsNRr8c/e9di3ZHteOffr0RTYcaN94ybiy7N2pl9vCzFX3lwM+7+8ln8uXs1KnQGQRpT8UuBEptSrXnyW4zqPLDyb6JT43H7oqfw0u8fI7+4QDQG++GedzC2q9Q4yxrYmkStTxKxpvlQjbmroR2/q53MhY1HnqfhsoGrmZ6opo2XnJ0aTym5XKqSa6YSNSJQ8kTNKsgVC42LDb9r80S1Vokqk6haOb8Ge8fy5RcqJhjwUT1DD/ChQ4eKIJrNFk3x+++/Y+bMmZVqmZUrV4rmjKtXrxYdT5kBfeGFF/Doo4/i2WefFeVimZmZCA0NRdeuXcWChZ9jCgYT1hCg8iLMHghPNYJHtUhUbldpYloNdau8XaXJhzTncKQOeBntdz0jEaALRwCzvgLCe13y3vCAEOx86TeMenEu4jIS8WVKMba6tsYS77MIrjAmCKO3QnfsH7iVSGqfqKwy/Hf4MGLzYuGUG4fBhjj8kOmIr4oiUA4dvB0dsailG4b46ACfcGDYg0BQ20s+m0pUsVCO2QEsvRXIOCepTie+CvS71ewSflPwHpVVKlyoKwVuU+myNt6jaqhZ7EU1KgeiSo8t1ga45hDGtDb49ddfBanIOYfgvPH333/jk08+EXPJu+++iyeffBKTJ08Wv//mm2/EXPPHH3/gmmsk30WSnXITYDaNsfQeayxzoTmQr6ktSUxbK1HVmIfHdx8qmkxRtfjRym/RxCcAHcJaV/lekuX8fFYSBDn7Y+EtL+LJn9/CpuO7hc0Zrc3S87Lw9abfcWXvUejVojOUBp8R3qcXxDYleeicsAneSfkoLM6Fl6EQZc7uKPJsCr13CNxbDwWadhK2NCCh6ugC6J2kcn5DOcAmUgkHgF1fAkw+ChJVut8cKoyJLo5VO79AiuMYjHDKQ6C+HNkVekxxzQI8AuEw+F6g5RB0y9eLEvqYtARsPrEHv+5cATdnF/Ro3gkLJt5U6alqDnnK87p0x39IyEwR155No2KzkpBXXAAHvQMennQL7hk/V3xPlJaXCcuAL9f9Ir6nJ+vto6/FNQMnVb5HqeSfLRMKtiYx1UoANrTj19vJXKgpUTXYHTgpyErTMk5A1aDUlES1oAOgvShRcwrNU6K6O7uK8hciygJfVLmc31olanGptB1NiaqhsUH2ZzLt1moKBpT79+8XmU7T0pEuXbpcsBhnZpR+W7KnopwpZYnj+PHjRXZUSbJOrUWQWuX8amyTsId9VYOYlVU9SpOovIf1LYcAt60G/JoDmVHAZ6OBVc9LZfJVNBrZ8cJSDGzTU/z/eFE5Jqc1RWL5+fm6Yu3LWJV4FquiUvDP3p04GrcRTukn4Z+fiIcy/fFFUYAgUAd6OWJnFy8M8XEBOk8BprxfJYFK+Lo7IuTAx8Dn4yQC1ScCuPFvoP9tdSJQ1VR4qqXEJNQiJ+2BmFVrHLRmm+aQ29U9uyxV3Lx5M86dO4ekpCShxjFNGvTr10/MPTKo9uzQoYP4Xf/+/dGxY0fY61yoNrnYEEhUWytR1agyIeYMmSIUjeUVFXjj788FEVoV5OssnwPGNW9c9xhmDbgCjg4OonM9S8Uprpn70UNIykpVfF/57Jk21irPT0fX6BXwzk+CobQA+opSlHsEo8TNHxkRg1Dc/06gx7VAy6FAcDvAOxRwDwBcvQEXT6lS48/7JB/ukyuAknyAsapeEpxccLVLCpAefwj3uaeJ/2Yb9HB1dIZ+2ENAD4kMGtaxH4Z16Ism9E5NikJ6rnQuXRydzOqJwXO84egO0TTq/eVfCwLVycFRlPP2v0BgAAEAAElEQVTvOL1fEKjNfJvi74c/xf0Tb6wkR7ed2ofrPlggGkiRQOX1/Pm+93Hd4MmKEaiEvA66nElMW38+0VBI1LIGMBc2HmZJw2UDZrhMM4EuDs41KlE56Cg5kNsasjKUpRLmIjIoXHRGpBF498gOZv1NkTHotVqJKnuimlw3DRrsHZzg6cUzaNAgdO5cteqB/jqcnOnTI4OTumnQSMj/5+8ILtSp9ElJSRHlYxc3VrI2cLQ3ElHp4M2ejt+elLhc1Ip7Nbg5cMd64J+HgYO/ABvelJo2TV8IhHa7JDD67cGP8e5/X+Gjvz7BuQoX9Mhsi2fdkzDbNQtns3LhW7oKvyUdQB4qkFRcivQKB6QYpMSgj64Cz0d6YmagK3Tcdt+bgcCq1UyiXP/Qr/Ba9gR88qRnDd1mAVe+Cbj6NEiFpxoeaKYkopL3llr7ai8ksrUBrjmBI73iBgwYIFQ2nFs4d/z4448iKGzdunXlHFLVHCP/jiCZSSUOS+mpvrlc50JzoJGo6lSZENzm3ePmCAUliT4SqS/MXCDIu9qOn3HdQ5NuEQ2XPljxjei7QBKPROzsDxbgr4c/vaBTvLW4QPVcWginTe/ApTgbOlSgzOCIAgdXuHmHIjVyONK8msEvtCvg5lPtPIT/ngAKSXTqAI8goNUIoMs0oEknYOUzwP4foXN0haGczSWBPo4F6Gv0Q41wKIMutB8Q3BEozgdcPMQ5m9B9mCjl9/PwgZ+Ht7Cyy8jPxr/71qGguAiD2kkJS1NQjETlqqw8JdycXOHk6CgsEhhLc9s3DJyK0c36oKdR5ctGWu/+txhbT+4V/+dnPjTpZozpMli1e0U6fYbL1pOUYx2tUxo7iau3k7nQYhKV8tmMjAyEhUnNamQwa9ipUydLN6dBg1UkKrOOLm7VkKjsgihUqE42XXwoDQ/joiCvyAISNTBUZBJZ5mGpJ6rVJKqRjDW9bho02DvoB3f48GGR8axurqTHDr126gqWl1QFeXFR18WU/Hf8quTYyCCD+6bkIo/EnNwISinIzW+4bSUXxGodP6HW8Su5IL7gWjl5AVMXQtduIhz+fRi65CMwLByBiuGPoWLQvZc0bbpr9PWY1L4XXv7wJizPd8CzBU1xoNwNn3jFo7tzMWZme2BjKcuApb/z1ZVjiq8DnmoRANcm7VHeZQYMbCDF+7mKc6WL2wX96uehj94qSrDyXILhMu09oO1Y6Q0KnV8eu5LXSvZjVHKbsm8n7wM1VM5KH7/Sz5Tp8Svp82jttZL/vjbQ/+2mm24ScRivH0sRr732WqH2tAS0nVDCesKWc6EaY25NY7CtYon6OM76nodlOECPBybehMd/egMnEs7i01U/4rZRkrpSBp9VnvuqPv/aAZPgpHfEW8sWoaC4EBUOBhyNP417Fz+PhTe9oNg14/mXr4Fu22dwyIqB3lAOTwcdCssrkO7WFI6dZyHDOQAlvF5VjQWGCujXvgQ9y/fLiwEXH1S0n4iKIQ8APmFARRn0616Bw/4fxdvLe85FRZerof9mKt73Mo3fdKhgc6qVTwuFa3m7iUDnqciiR7CTC1oFR2Bo+z6iofDZ1Fh+LNYc3iLELF0i2lbGz6sObcGy/esF0Uq4O7shxDcQKw9tEVYLBCtFnp9xPzwrnEUjuNTsDCxatwS/715VWSlzdd/xuHHYdNH4WC3PTLXGbVvPcZaA51vp9YAl4GerNQ5cDHuYCy26C5cuXSqyjYGBgeJCfv7550IWS8yZMwd790rZCA0a1AQnRE4EhaXFovO7r1vN5fzMpjUmyN0NWWJhLtgRmaAS1dJyfk8XZZSoLLfRoKExgM0t/vnnH2zcuFF0Da5uviwoKMDcuXMv+Dl94nbu3HnBz5KTkyt/Z+4YyGTmsmXLYA3+++8/KA2WbPKlNKw9VnN8/ZQAPfwOHDhgF8e/YsUKxbfJ+/LgwYMmP3GEc9vn0DV6McIyd8Fh7YtI3fM3drZZAIPuUgJv8pAnMeHQB0jLOoM73CQvVGKJTwy2lrjji0J/dHGpwJQAPxT6dsR2797IQyhwKBU4dOn97FUYhw5xvyAkS1qfluuccDL0KpxuOhEVp8uA08tUPv7L6/qnp6fbzfHTk1NppKWliQYXdQH9Qc1JarRq1Uo0dqKXG0vf2Xl41qxZaNmyZeUcwjmFP5fB/9NztDHOhadPn1bl/rgY9G61JdSaWyxBQoL5QgxL0durDX5PWI8lG/9GZmwyuga3ueQ91V1nRikjQ3vitxProKNqFTos278BD3/yAkY2763YPrIBmk/eWbRL/AswlEFXVIS8ijIkOgVge1kQQg/FobDsHArLihHjeQZepvGToQJdor9Fs/RNqDBUIN8lCEdDZiFZ1wPYcgAupRvQ+8yHCMw9Id5+LmgUDpf3Q8X+BEwuvdC+rcxAO4FsGApyUZKRjrLYU8jZshRHQ6YiPSlVfH66SzKKC3JRkVOM0wVJ8HJ2R8y5aPQL7YRj6VE4mHK6Umzk7uSKcM8gHIo9gzVHpOZcgW6+uLr9SHRv0hZn9h0TKt/tCYex4O83KntmdAhsgQktByCwwheb121EfUCNcdsS7Nu3T7xsibg4yxpFKw21x9ukpCSzKgxsPRdaxC69+OKLgt2lFJZf582bhyeeeEJ0TLS1R4OGywv015RJ1OpQYsyGsVthY4KsDC2woJy/eZCkHGdW0lycbyxlnVJBVrS6aEpUDXYOznP33HOPaJCxfv16tGjRotr3snzxqquuQlBQ0AU/Z/nJSy+9JMoTZXUNu0t6e3ub7cXDxQX9eyZOnFin46DH3Nq1a0WXZCWVNezUzK7MF1eqWIPo6Ghxrvr06aPYNqlkYEBMvz0llXjs/sljr45MqAuo/OCiT8njp4qA99yYMWMu8HizFrt37xZJ9ubNm1/6S8MslB34EQ7LHkXT7AO4wvUAKkY9een70k/DIQnQF58nUGUMdC4Qr/Iec1Ax4jHAqykuDbONSD0Bhy3vQXd4CXQwwKDTw9DtWlQMfwQhjn44vWkTJo4fDyXBAJvHzkY4SoG+XiRme/W6tDlXXaHW888yusjISEWPPyoqShCzSh4/fWvXrFkjPDaVLAW39vk/fvy4RWIUWT1Dco2EODsRc05i8MjjkwNFBpfctzvuuAONcS5kwFzXudBcRRTPL731LrYTqC+oMbdYgrNnzwrf2x49eqj6OaG7muHHbf/gUH40ru8/C+H+EhHCZi8cX9h9uzpMxET4/ROEz9cvga68HCVlJfjrzCbcM/MWUY1nLXifd+7UCcG7NkAXHCRUo8UFnkgoLEZCxCi0Cm6HDs3aCyVoWm6m2PeIgPPkjVCgZm0B9DoYQnrAbeon6EXvcCLjLBy/ngxdbgIMzp4ov+p9hHeajNCKCpS8d94CQ4aTzoBc6ODbahBcqEiFDn4OBYisWI/sPmOwLfYMAlo0xS195uCXHf8hNj0Rp5OikZqXhR9OrxYNhr18vRHm1wSD2vbC+mM78Oee1ZVCnXvHzcPNw2cI8QsbTS0/sBGfLv8WyTnpcHF2QdeIVrhv/DxVGnjV97htCai2b9OmzSUl4vWFEydOiPVbdbYpaoNzDQnkkSNHqvo5VJhaco1tNRdaRKLywsk3Dhc0zDxOnTpVZAEbU7m0hoYPmRgtNWbRqkKpSTl/Y1SiWlbOL5Ea9Luhv42zo5PZJKq78fOsVaJq5fwa7B0sW2RZIrtB0o9H9tUhoUkzcxmcEzk/VpWtZRDAAJHVG5zouQ12j+S2ze3CLjdwqSsBJpfJsCRKycUoCUm5g65S4D4qvU3T/VVyu2odP6HGObXmHqoK7LrN0t1qt9lnntSh+Ocb4LDlXTg07w+0nwBwro7eDuz+Cjj0m1Ds1ASHfd/C4cCPQNsxko9caHfAzU90SkbSYeDIn8ApE9VYx6ugG/0UdMHtRCl/UVKSaFSj9D3FNTLHASW3KzzdFb5P5VI8blPptTvvLSX3leMTX0puUy43JSGmtCesNdeKf2/OeMwgkc9uu3btxFzz8MMPo3379rjxxhvFNlgxSNELg30GkiyjJ7E9ZcoUNLa5UI0xt6rPUOPetnQf1D7O+p6HqsKMARNxPPEs9kcfw0ervsOr1z4MRwdH8ayyAra2z39syu3YcHwnTiaegwMrFkuK8Mpfn2DRba9avW/i+qcegUNuIkBlqGcwPErLsd+1Pcoc3RHs7Iq0vCx0bdYOmQU5yC0uOL+/e78Hti+U5raIftBd+zX0bDJFZMYAX08GSIYGtYVu9o9wDGojjjf12/kIyTl1yb7kVuhxfaofFrjEYFCrznD3CQUS9wG5CWhWtA47dJHILsoVhGeYf1P8vH0Z4tITodfpxb3Uv013XNlrFHacPoAnlrwlzhPvLzbqemLyHQj2CRBjzMZjO/Hxqu9xNiVWjJt+bt5YMPlmXNlzZL33GlFr3LYE8prJVs+hGuuBhjoO6e1gLrSIRGWmkGU6Xbt2rezCyKwhFalqlO9o0FAdZBJQbh5VFZiFbJzl/O4Wl/MHefuLTsjZBbk4kxyNDmHVNN4wQXG5Qp6opcbGUs4aiarBvvHJJ5+Ir8OHD7/g51999RVuuOGGyv9/+eWXQjFSlWqCixCWPzITSiUOs6ecQ59//vl6a2DTUBur2Ht3cjWOn4tV2cNUyf2UO8kr4Ykog41fqJysEWyccW4TsHMR8N0swCsEKM6ROhMbkezXC0ElsdDnS00uLkaeTzt4Zp+QmlXxVRV4jTtMAoYuAOiVaoKsrCyxr0qDCs+LO8UqQXgqrX6Tm7So0bBMayxX923K/oK1gYrAxx9/XJR0Mg6bPn26UHTKge0jjzwiyhtvvfVWca8PHjxYWJcoeW82lrnQEtiyoYytu3LX1+dLjabmYsE3Lwri7vddqzCj/wRxb8t+kDU9I/z7Ryffhnu/eh75JVKM9O++9TgQfRzdIttbtW9MvOnO/AVUlAPs9eDgDI+WA5Efn4cyOFXGZNw/jll5Rfki5vIpSAGWPQYYyoHgDsDs7wA34/xTXiaSihKB2g64+V9BzvJYY396FM3O/sa2UwIGR3cUlRai2KDDbbnh2FvujsdiC9EkeT/6typDq/Ch8Dr5N3bknkRJsCsy84Px8PevivNIZSzJ6CY+gWgf2goD2/bEA9++XGnx1qdlF7ww64HKxsP7oo7iwxXf4mDMcfF/ep2ObtUX4zoMRs/u6qqRq4PshXq5N3izlQq3Po+/wk7mQkdL5bUXm/lyccduWPTF0aChYZGocjl/41KiyqRmngXl/Bz0OHGyudSRuFO1kqj0vinjQkFBElVTomqwd5gbRLz88sviVR1Y8mqNpxDnYWuINXkRVltAUpft2gMxKR+/0kGxGoQnF3sk55SGGtslMclyqVoX+hNfFd2N2X0YVPUQ7gHICR2IAx6D0GXMbOhLU4CTK6UOxiYwOLpib+9X4VOWhi76c9DH7waSjwHFuYCjCxDQCmjNLsfTgcCq5zkupi8uLVaC7OTzpDSJymukJNFN8B5VQ0nC51QNwlMNslONQNTa8ZT3kDkNU2bOnCle1YHni0SkJWTk5ToXmgPeKzyn5jQ6aawkKu/r+jp+f08f3DJyJt5Z9pXoGD+oXS+E+AaJc2DOeMhGSL1adsam47vg5uwqVJZfrv8F782re2MzwsfbC9h3FDBkAx4BgLsf3CP7oXXpMZwudRSEKSsFj8efEWXyiVmpOJMcgx7/3QldWZGY4zDnl/MEKnHgZyBuN+DqC8xdKhGoZWVI+vZ2NDtDKxojAtrA4OCMY/FnMCMnEvkGB/jqyhBf4YzEIgOOnjgJr+gE6EpKBcnrVHgcCSXlcNDr4eLojO6R7QWB6uTghK2n9uLHrX+hwmBAU58gPD39bkztM1ac31NJUfh45ffYfGK3+FhXJ2fMGjAJ84ZOw96duxEcqOy8aeskpaXgM2BrEtOWn690zGDvc6FFJGpNXiyDBg1SYn80aDALnAjMLeeX39tYIJfX51tQzk90Cm8tSFROwrXB1CrAWk/UolLZE7VxedNq0GArsGya2dW6Ql6cKB0UccGihmpUjW1yIcqFmpKLcm6L6k4lIW9TaTJJDRKV96XsX8ey3mpBsnP6QmDc80BmNODqg9OZBpw8fQYDBw40qkR9RWljafsrsXzjTowfPwFOh5ZA5xuBAS2GCv/RnS6R6HPdwxYt6nkeSaKyvEtJ8BopXXZO8BpRYaH0vqoRjJob+NiaRFVDMSuXm1pz/Hl5eZXPkAbzwPOVmpqq+ufwutqSRFUjQWkJ5MqF+sLgdr2x9sh2HIg+hq/WL8X/pt4p9sEcEpWxxqSeI3Ai8RxSjR3m/9q9WlgDkFStK/wdClFRwC726VKCrvUoQO+Afi064vTJkygoKURWQY54b7B3gBDweBz/G4bkI4BOD93kdwGvi7w0WeZPDLkf8ItERdoZ5H89G6GZx86/p9s1wNWfomLvj+j8x/1wgwFc/Y1zykWqwRFrS71QVFaKkrxMBDgCwY46eHt5o1lQmCCgR3Tsj+83/4n4jGQsP7gSqTmS3/iM/hPx0qwHhMqUv/t09Y9YfnCjuM9Yqj+51yhBZgd5B4gxkwlSNSo47IVE5XnhM2Cu1UhjVMJaO8c1trnQdnS2Bg1WwNn4ENesRC1tnEpUFw+Ly/mJjkb16dG407W+t8C4bZ47JwfrBkxNiapBg7KgBx2JKmt9lWRvxIZezi57YSm5n2qQiHKQpyTkoEHpAJaBqDX3UHXnlbZPZndw9gwGIvrgdLb+IgLVBN6hqNA7S8Rr35uEDyrvCb6X52TXrl0WkRts0sSAUOlgkOeS51TpAEeNwFGNbcoBphp2BkoT02oFotYGmLyHOLZrqL+50Fzwuio9D1n6+UrP17ae22oCn8/5I2cJD8895w7jcOxJi5KUQ9v3ResmkVJZsN5BNCLeetL8pm1VwduQA11JDgw6B8C7KRDSRfw81NtP+KBS8ZmSnY7i0hIciDkOd2cXhB/5ETAAecGdUdjiQusLgawY6WtmNAzfXwfdu73glXmMfyKh3QRgxmfCnsbQdQYS/Puhh5MUn2UYHPGFVzz+55kumicy1ZxaBiSV69Gt/UBc0WMEmgeG4b3/FuOvPWvw/Za/BIHKWOz12Y/igxueRll5Od785wtc/c5d+O/ABjE2ju48CD/f9z4en3KHIFAJPmMk8pWuimgIyT9zweef95Mt90GNRGVDJFFz7WQurNOZoDlrXRYgNHi999576/KRGjRU3ViqhkWN/LvGRqJ6uBqVqBaU8xNyCT/9cQpKiuBeQ0ZW3ra7s3VNpQitsZQGDcqCGVpmahuaskaNQFOt4E0t1ajS+8rAhbZJShNfJBHZcVlpRERE4NChQ8Lc35x1IpsBnDx5smoCtQbIRCoVqSRS+/TpY5YiNSYmRnS5VrokTS2fVTUCR95LSqtpGNypEWByX9mt3R4CQWtLHTmm897UYNlceDmQqPVNYl4MPte0TahPT8ZQv2CM7TpYdIb/YctfmNxiiGhcaA7YGGlAm+5CyVpekCs6zO86cxCjOl/a6d5cuKIEpeUFKIcbHCMHAE5Gq7PifAzr0BexGUlAHnAuNQ4tgsIRd2gF2uUlw6DTIbrDLOREHYW/p68o9fdyM5KRrYYDe74RTRUrvU9JIvObNmOA63+6YB+ORF6HnhnvYlUqVXAGlOj0uC4iGF3bzcb9//2CpOIipJeWY+H6X8XrYrQIjsC03mPRt1VXQa7+unOFsDsg+LO7x82p0u6N8xurS2ypglRj3rL08zm+25LEbAhEsqZEPY86nYnFixfX5c/QvHnzOv2dBg0XQ1ZHltRQzl8sN5ayUknZ0OApN5YqskyJykVFoJefMBhn50rZQLwqkGQl6O9jLbTGUho0NDz1jRpBoRokIrcp+00qSXypta/24l/KgIim/EoHxU2aNBEkamJiouiCqgaBWlcilQEIGxAMHToUSoPnUmmfVV4bEhf2oETlNjmmKB1gcbtUN9uDEldTotY/eL6sTSjaA4nK+5Xl1LaCTF5xDHVzsz4uMBdX95uA1Ye24HjCWfQL7mjR8zGsYz9BEmYbS+zZD8IqGAxwNhSjvMwZjmxW6OIFUNBTVgLXokxM6zMOP279W7z1TEoM2mfvga6iFGUOLkj0bAaH0mKk52aKFxv9hvoGwW/IAhigQ9nhv+FULJXZ63R6oPNUYMYiqUGiCcoc3ND5ymeAL5/DiXJX5Bv0OObbFaPG3YnPWw7G2799gT1Jx1BQWoTyigoYYBBqXk8XN3i7ewly9rfdK7Fkx3kf4g5hrXD32Dno27pbvScJbW1tY+nn8zm0JZHMJMLlQKLm2slcWKczMWzYMOX3RIOGOjWWKqnVE7XRKVGNxGZeseWeiCzp33h8lyjpr5FENZbzK0GiFhtJVJa6aNCgwXpwccHFlDXEolqqUZJJSm+Ti1YGb+yOq+R21SBR1fAv5XErTRQwy0/ytFb/UgvBbbZq1UqQoyEhIdWeB2sJ1LoQqWfOnEFgYKCix6umzyqvOY9FafUN71Gl1Z1qqYTsxc6AhDfvA2s9Ue0hcGxIuFzK+dVK0FkyrstzZn2SqGwyNaJTf6w6tAXbYg4i1Mv8RFWH0FZoFhCC00nR4v/J2WnW7UxZkTgPbFrswiZRnNt8woH0s0DGOfg36YBrB14pmmERjjGxYkwo1zkguzAf+YVFgsR01etR4WRARXQOCpIPIPjQr3Aqk+Z3nd4JGHwfMOapSwhUGZFh7cTX6ApnzM5tgWZ57nA+sRs7Tu1Hpzbt4erohHyUIKskD/GZycJegE2k2PiKFYH0jGVcTN9ZescOaturxkQqjyE5ORldukj2BbYC+wDU1JunsSthG4oStT4aS+XZyVzYuCR6Gi4bOFWSqNUvauTfye9tLPBwNSpRiwstDtY7hEsk6rH4mn1RZb9VNyXK+WVPVCsM3TVo0HAecpkLFxp1JYTsRYnK8U0O3pQkUdVQ9nA/SaZQOcsSfKVAklFpcprn1c/PD2lpaYqTiuy4fe7cOUFatm7dWjUC1RIilSQn7QsGDx4MpUESh9dc6fOoVgmlvRCTam1XjW3KY6m1SlR7KGFsSLhcyvnVsJ+xFyJ3YvfhgkQ9lnIO8UGJ6GPm35EYHNahH9Yd3SH+n5abZd2O6B3h4OiEspIKFCYeh1tYR+HZjcJMoCATSDwMf89gzOk1DCtPHoQuyg1leieUl5chdN8XONJ0CDzdPeGSlwx9+hE0S98H79Js4WfKAn6dqy9wxWtA91nVEqhEoJekxuRfnSpzgkNmslDrOuodxCuiWTPEx8UjJCgIA9v1RG5hvrDAaxfSAuEBTdE8KBzNAkPNrtLkGoEJe1aZ2Ar8fD7nl3NjK44/fDV2JarBYGjc5fx1wY4dO9CvX7/6+jgNjRzOxsFfVptWBfl3Lo2MRJXL+TnQ0Cy9Jm/Ti9E1Qspg7jpzqMYyTnaZVEKJyn0sKpXUwponqgYNyuByIlHVVI0q3dWZZB7JO+6rkiQqrzHL0JVG06ZNRdk9laNKgvdWjx49sG3bNhF4mSoKlCZQzSFSOdft27dPELpqBGFU6bDkXOnggsS50sSsvRGTDJ7V2FclEzLyvpLstsYaw17UNw0Jl1M5vxpVDvbgyxoZFIbWTSNxKiEK++KOYWLJeLPn18Hte0NvPF9puVK5fJ2h00Pv6gUHlCB3x49wm/IcmVoguCOQfgbIpSdqCtyQgsmB7kgN64D87FPwLs5A94x96JqxDzqq1Q3l4kXylK9yOCDfvzU8pr4Hxxa1e7ZSSVq5S4BoZpWanQG9Xodw/6ZwdnJGu1ZtkBqfhEi3Jhg9fBjC/JvU+b6hjzi9zuvLC7cqMOHNZ7A+VdANTQXKZ4/XQOlGi5agPkjcwsJCsWazh7mw3p6IGTNm1NdHabisGkvVQKIaf+fk0LhIVDcT0jS/yLKS/u7NO4q/T8/LxPGEM7WW87tbSaLKvrSEq+aJqkGDIiA5xMWkNQocLsSU7vZrGugpvV01SFRzm1RYApIzLDtTEiT+SBQofb1IoqanpwvfTaUREBAgfPBJXnJBrCaBejGRynuQRKrcOO3EiRPia9u2baEGkpKSVFHpqOFDxyBIjZJctYhZNYJGNYJhPpvcT2sILk2J2nCVqLZu7MTP57xqSzWqLdWwQ9r1gU6vw7mcRIuqMjxd3SsFHCVlpdatTRhL+kbA2ckJFdHbUXFsGTN0EpEa1AYI6w54NQWMnxfUeQL8m/UAvMPgqNPBtaIELhUlgkDljFgCPTKdA3AwsA9+bnEtkrxbmrUbLM+XwfGmsLgI0Wlxopmyh4s7RnUegHnDp+Px2feiqd4HOcl1J495zyckJKBZs2awJeS50NaNrWxNosr2Vo2ZSM41juf2MBcqmjafOXNmlT/noJWRYWUGSIMGE8gl+sU1kKjy7xpbOT+DCk6U+cUFouzeklYW9MEZ0KYH1h7ZJsr6O4a3qbGc3xKVa1UoKjm/4GpsimANGmwJuTFQQwoKTZtPKLnQUotEVSMglK8L/UCV3Fe+uF16eipJ+DLbn5KSoorXWPv27bFx40YcOHBALIhPnTqlGoFanSKVza1oKzBkyBBVlDS8hzIzM4XyVUlw3czrrfS5oqKHz6nSgRDPA+0h7CFoVIvwtdYvj9dbaa/axg6Ot0wwKd148GLwfmHCyVbgsXFssyWRY0tf1v5tuuGrDUuRWJCOhJREs5v45RUVVCo3OYocjT+NTtXEPbXCMxjwCIRTaRH02QUo3P41PHLigbZjBLkqGk0FGdVzFeVAcS503mFwOvQbEL0VhtwkFBcXoKggB/lwRKFnMI75d8NGx2bwqnASwhaW29cG2dvV0cERDjo9yg3l4mctgiPQPrQlerboXNkLZNCgQdiyZYv4vkOHDhaPpbTl4bm29bjUUBpbKd3k0J6UsPXlC5udnS0+Q8lqLrsgUVevXo1vv/32EvaYi0EupDVoULyc3wwlqvzexgSW2ZNE5QLBUgxp31uQqJuO78bto2fXSKJ6KKREpfeOg159M2oNGi4XUPlGBVxdwcUYyR+lAz0ufJQO9NRQjXKRJntMKVmGzYW+0jYBpuSskiQqQZKRVgFqkKg8rwMGDMC6desEyUE/0voIhGQidf369UIJ27dvX1XK4gmeO5KHSgc3aqkx1PRZVTq4siefVWsDXI5vfL6pDtdgPkhqMMZkIkjJxFVDa+wk74MtlageHh7CH9MWCPIOQJh/U5wuKMS+s0fQrVNXs/4utyj//Fin02HFgU2iwW6dxr/A1oCDM3TeIXBxd0R+8hm4n1kHXdxuwLMJ4BkIOHkAFaVAYZbkk1qYDhQb4zSdHgY4otynNQLb9MXxpgNxKjULpWkJiMtIwrlU8yx7DsVKlRXB3v7C75R9J/KKCuHl5oF2oS0vaKbMJGldiVSq60miKp0grAs4NqpVSWIOOMbYulLA1krY+tqHpKQku5kHFWWXhg8fLh7YoUOHXvK7rl3NG/A0aLCosVR5DY2ljL9rbEpUU3KTRKqlGNSul5hETyaeE9nLJj6XBuWFJcqU88tKVM0PVYMGZcGAkX6WDa08US3/UqUJX5K9JH0LCgoUVVmQJKTiUmmQqKMSSmn/Upbpsdyd50Fpn0giPj5eBCA831FRUYLAqw9vNZYgknBg4B8dHS3IFqWVajwubruq5lnWgtVbvJeUPldqKXp4/yhtEaCG8obWErSvaGiELwNHJh2UTpI0dvA6+vv7i7lQTRLV1uX8DYHI5bhx8OBBm/mysqdDVFIsDseeMnsfcgvzIFfw893RafHYe+4IerXsbPkOOHsAzQcBZ9bDy8MdsQG94IRU+JWXSJ6ofJmCPy/JB4pzYHB0RZZjIPK9PdFkyFw4dZyAbg5OcI4/gyXb/sXZlBjEpiWIUn1Tz9Oq8Oee1eJr+9BW2B99DAUlRSgpL0UT7yAE+wRc8v66EqlHjhwR87WtxySSuaygsKUSlUkuNZpHNjQVaE1gIpznQG0SVe2xXEkoujr77bffqiRQiVWrVin5URouc8il4eYoURtjGTl9fkwVo5bAz8MHXYwNptYc3lqLEtW6oJqNrwjND1WDhoZFoqoVkKmhllEjgGUQQfJU6a73XGTz+JXeX2bmqbaSfT6VAokvqppJcCoN2QOVARzXhjzXGzZsEESeWuC53717twgA2cx02LBhl3ikKgWS2rzOVPPai8+qGhYB8v2udICpRtAoj00NjUTlWM7rbcvmLZfrXGhLv297InLlRi/14UFbFVo2iYCjkyOSc9MFqWauElWGXic9W3/tWX2Br6hF6DwF8AmDvrQAbRxTkFjggMLQfkBkfyCwjeSJ6uIhvddQIcr/DU06I9UpFHGBgxE05zM4dblK8lcloRnWStiqsTQ/MSsV8Rk1VxftSjyKNUe2ifXLwHY94aDXi3uywlCBEL+gC3pmVEWksknUsWPHar2PudZgApQNIm3pwSnvCxWgaiR5zQXXLDyHalqGNHQlqlpz58W4bEnUmrBjx476+igNl5MS1aRx0cVgZs70vY0JMrlZl3J+YmL3YeLrd5v/rHIxoZgnqpFEdTE2AtOgQYMyIHFDtZ21JKq9NIFSI3gkmaQ0oUc1GRf8Sm+XhC/VnGqUU7Zs2VKQqEp2n764iRTJWhKpXBxv3rwZx48fr2w4pRT4PMjWASNHjhRebtU1m1IC9FqNjIxU1A6C4HWgJYTSJW08dhIgSpOovNep+FW6AZQaQSMVRQwClSYrrSV8ee+qQcZfDrB2LjQHvA85Xind3M/SfbAliUoyjYkSNZNgNSEyMEzsQ055gdmkOcvdZZAAo4gkqyAXyw/U0WLQ0QUY9iAQ0Rsuzs4IcchG9uHVMKQcB/JTgbIiQO8EuPkC3iGoCOmGE179cCRyDtpOfRguXv6XbLJXi07wcvVAWm4mTifHVPmxOYV56PPUNHyx/0/x/1tHXYMgk21xHRfqV7Nfp7lEKu/x/fv3o1OnTjYlLhtSeTeTj7ZUoV5Oja0S7GgurDcSdcaMGfX1URouAzgZs3glNQR9JcbFjvzexgQPK5SoxJW9RiHYOwCpORn4Y/elKvECpTxRNSWqBg0NVonKoFBJ4kytQI8EHEtwld5XtQJCNchZLlwZSFjjg1sdWK5HEuzs2bOqEKgySFyx2RSbPPHeXbNmjfhMa64rA0GeE5YqMvDr3Lmz8EA1DTbUIFJ5fUl0koBWGtwu73ml/dcYCPJcKB2IqWURQMLTHiwClFKi2ov65nJUojJRwpctSUxbk6hKNLS0BhEBIWIeLEMFzsScM+tv8oQSVSILddBhet9x4vt1R7fjTDWEZa1wcgP63gyMeQreA65Htkck0g3eQEArIKSz1Giq702omPAK9nqNQIJzCwwcMrzaJEvzoHA09Q1GWXkZ9pw9XPnz6LQEfLPxd9z86WNou2A0krIkr/VhHfri6Wl3I6cgD+VsYGU8Nm83Y1MrK4lUVnFw7mGC0NbgGjU5OdnmJGpDaWxlaxK1Pj4/0Y7mQkXT5zNnzqzy53xI6e+kQYNScDYqP0qNatOqIP9Ofm+j9EQ1KVWxBDQev3H4dLz212dYvOFXjO06WGRoZdBjR0lPVDfNE1WDhgYVODIgpDKDRIWSCjIGCkqX+8mdOlnCR/87pcBF8aFDhxT3eON21VCMMpBgoyR6zCu5v9xWx44dsXPnTjRv3tyqrqjVEagXB+Iss6figO8/evQowsLCxPHxb7hQr+n4qJRhUMNzHBsbKwItkplsgFHdvstE6tatWwWRyvdaU5rHfW7RooXiJJ+p8kZpxYccCKqx3YCAS734rAGfSTW61TfUZlX2FDhejiSqaYNDW3Uq5+dS/W5LcPygD7QtQK/QEN8gxJUn4UxSjFlJFtPGUiQpuzRrh36tu2PH6f2iEu/hK+fXveLOOxQOHUMR1FSaV4b2HFp5b3BO2rt3r1izkLSsSaXO5OLg9r1wNO4kDsWcwOL1S/H5uiVVkrzNfULw+S0vi0a9SdmpKCkrZb8s8X+DkSyuDTV5pMpl/CNGjLB5GT9B7ojnh57wtgLnIs5x7dpJNni2ABPNeXl5Nht76ptEHTFiBOwBirJLq1evxrfffntJ9pw34MaNdZTOa9BQoxK1ehJV/l2jVKK6WKdEJa7qNRrfbvoDCZkpmP/Z//DBDU8jxFgOct4T1UoSVVaiaiSqBg0NKnDkAllWtii5MFNDLcN9ldWdSpKoDCa4PuHiVPZ7UwLcVxKJSpOzJKq4mFbD15Kl7zy3bIrFMj61CFQZDIzCw8MFecrjkZUxJOBJhPLvWUoonz+qY0ie8r35+fkieGZg1aVLF7O9JJUiUhlo8l7s3bs3lAbvGSpv1Ng2m7OpoabhNVFakctrTCJCDRJVaU83XjNrFa4cy5nA0FC3uZD2IGqDan3el7YCk08kDlmVYU2iy56bSzULDBMxS6G+VIyTtT0zOaKc30iiVpQL5ea0vmNxOikK6XlZ+HLdL7h99LXCk7Su4LzJho+0LRw8eLAYX8wlUGUMb98XHy7/BltP7cHao9vEzxz1DqIB1tAOfTG8Qz90DmuD5cuXw81Y2ccGWaXlZdBDDydHx8rKv7oSqdxf+olzTm0IZfym3uC2JHQ5Z/CZsyWByWvDZ96WSlSuk5WujrH3hKKiJOrw4cPFg1lVcykqJzRoUAqyxyYnkOog/64x+nFa01jKVI363ryncPdXz4mOldPfuQsjOw3AvGHTUFAsea26O7sp0ljKRSNRNWhQFPQMYhDB0uS6KurUCApJbjHQs4cyQhJvckm/kiQqyT0GmSStlCR9eZ0ZUFApogYZxkCKfqUMTHlvqEWgVkWQy39DkpgBA68J7yO51F++Viwx5Ne6EmHWEqkk9kjotmnTRhUig+pa3jtK3jemZZH9+/dXdLskD3md1PBZ5TOphnep0oFoQYG0XrJGlUxVNu9LDQ3TE5UggUAiwVbgeENyi89GcHDN/pdqQSZRmOyyBakUGRiK7af2oQAl4prXRqKynN+UfysuKxXK05tGzMD7/32NU0lR+H7LX5g7ZKpVRB1taji2cF7hOeK6ylwCleP9zzuW4VDsSdEgipV7/5t6J2YNmAQvt/PzsKkf7+mkaJxIOCucChwdHOAsxEKW7b8pkUqSkIRl69at0axZMzQE8LyQUKNFjy0hz0VKe583hCoSS8B7uj5sFRIuV0/U3377rUoClVi16lLfRQ0a6gpm3WptLCUrURtxOb/k91N30Itn0W2voGuzdoJ0XnFwE6778AHEGjtEWlvOLzet0pSoGjQoCy5mSIxY45GpBonKxSaJFbmTZ0P2GVWTnCXZqYZ/KQMcqjaVbsokn2Nun5YBljQcqyuBWhUYqJBApLKRiljaDMgEb9u2bQV5YK2S0BqPVCp1eW7U8EIlWCrLa6A0eahWWSSfHTWaSqmhtpa3qzT5wzGU58Caa8bA0V7UNw0NDLiZWFIbMjlmS6g1D5oL3uN8fmzli8rmUgSbSzHhVNv1YGMpnfEfkWdsNBXu31QQqXqdXig6f9jyV6W/aF1AcosKTib9WKnASgJz5inGqfd/8yKe/PltQaD6unujU3gbjOoyEIUlRcjKz7lkLmas9vrfnwnbNW83T2FzQG5NFtdYul7r3r27mHdI0JNEbSigNzjnZq6lLnc/VLXmw4amRC0oKBDn217mwjrP+MzEc+GsQYMtQBVlbeX85z1RG2E5vwJKVBlNfAKx6LZX8c2db2B050FSeatxocFyEkXK+bXGUho0KAou0CMiIqzySFNDWUMyhYSC0kEWF5BUvyjZXV3NoFStJlAsuyfRqMa2CZKWVBaa22RKSQK1PlEXIpX3NEnUHj16WOWnWh24L1TeqKEEUqssUq0AU43t8hpT5az0dq0NLpkQ4TjekAgMewJLqUlCy4pgtcB5zZZK1IZAohJMcqWnp9vks6lEJRKzUxEYFCQSijWhoKRQjHl+nlLPhzijQIRoH9oSc4ZMFkTqzjMH8cmqHwTpWtdnmI0NOTcz0Ud/8doqcmgnMPO9e/Hztn/FPjx79b3oEdlBNJQa/8pNuOL1WzDm5XkY/dJcUSk48JmZeGL9x7j2w/ux8dgusY1mgaFC7KLT6eFWB29X3ktMmrLCg4Q0bTEsSaCqCRK7XOMqnVC0FLzXbenJKl8nJvxtBc6dHF/VJlHPnDkjiH2uc+0Bdb4zH3jgAXz88ccX/Ozff//FddddhwULFiAqKkqJ/dOgoUrIPqc1lfNfDp6oeUXKLRo7hLXGK9c+hM9vfbnSnvy7LX8q0lhKU6Jq0KA8qMwjgdXQyhPVCPRYKkviSw1ylttUOnBgIMVzq7RyiQEhA55z58zrTmwpGASSJKQ/aW33hr0SqHUhUhkkM9ikAlWtgIqEALetpLUEwXtbblZlD8Gd3MhD6XuKSRje30r7/fE5sdT+whRUUfIeVEvd3NjB5ACfGbWFPZwvSSQoncizdeWEpZCrLGxBtjX1DRIWbYzv3P29BNFWU1VGufF3wd7+l5CoRM8WnXHLyJlimyztf/WvhUKZasmxmTaRoidq3759BQnEXjBUU1aFk4nnMPHVm4U1gZerB7649WUkZaXhSPxp5BTmidhJjp/4/5i083YV51JiRRVm88AwDGrbSxwjy/m9TUr/awOPLy4uTpTyM3lDNSr3XfYmtzWRSmsE3mNc69gStDlgFYct1bAcbzh32XKNxXUsE8dqe7KePHlSxDUNoamZqiTqgQMHMH369Mr/86GbOnUqNmzYgO+++04MIvXhUaPhci/nL70sy/nlso0CBZSoF6Nbs/acYsX3W0/uxf7oY3XeVrHRbsHVqfH50mrQ0BhIVAaFSpeGyz6jSoKLKjUCSAbfPH4uUpUm6NgISg3FKH3g6LeqVjAdGBgoPoNqGlMftsZEoFpCpDKgZDMVQq0OvbwHSYyrQaSR5KMqSml1h+z7q/T1Z8DG66A0mSwTvkoHaNYqUfkctWjRwmbNguwdvJ7WzoXmgAQCiQRblvTzWeOcTXLHVuC8xufTFopYXuuIQKnUNx/FIilSk5WDvLZhxR0Rm35pM06Wzz9wxU0I8Q0SwpSvN/6G9/5bjGPxp2slE00JVNkDlfvIPjD0zWazKfIlsrd3flEB/ty1GhNfu1n0oogICMFbc57Ap2t+xL/71gk1abfI9mjTNBJtQ1rggYk3YfEdrwuPVAMMKC4vgb+nr1DR9m7VBZFBYTAYKuDs5AQ/Dx+zCUrO7YcPHxYJU+6nqUdqQyBSKcTjOqQ+GhnVBPqI077Clo22uM7jOsUaz22lLGvUJjdPGklUe4HemotKmbWMb775Riz+mBVidqNbt2549dVXldpPDRougNwsqsZyfuPvGmNjKdkTNd/YAEpJkPisME6eHDA/X/NTnbdVZPREpWePBg0alIW1gSMXZXzGlS6DVKvkUI3tslSM5BIXy/ZS0k+yhZ3tzS25r2tZP0kDBogXB1ONhUA1l0glucnr2K9fP1XK+AmW8fNZVMMLjPsu20AoCRIHJNmVboIl+5Yqfa7Vsh6QA8zLJXBsiKgPEpXPp619UU2bS9kKanp+m4MWQeHi65nkGME7cB6sjvCTfU5JVhJHYk9Wq3B9aNItGN9tqLCAO5cah4Wrf8SLv3+Ef/auFerPsosqH6siUCuTS/k5KHYxwCnUC38fWIcHFj6HBxa/KMr3b1/0lCBrA7380NQnEI/+8DqiUuMR4huMT+e/iO/ufhs9WnQSalOW+n+44lusPrQFzQJC0cTdH54uHqKfxcNX3IIjcdLxBHsHwNHB0Sz16dq1a8XYOmLEiEsa+DQEIpXzL0lU2nTYGmpVcNTFD9WW6sz68EO1x7mwzisqLuBNvZvWrFmDGTNmiAeTr8cffxx33nmnkvuqQUMl5BL9GpWoxglPK+e3DKY+q5yU6RW099xhUfZiKYpKisRXrZxfgwblwcXGZ599Vue/56JM9nlTcoFEtReVb1TLKKmu4kLyxIkTUBpcJDO4kBUZSm6X/vEkmpRuvMMAY/369eIesIbAqSlQZnMMliTSJ42NnRojgXoxkcruyiRS+/TpI9ayLMc8evSo+J1aShAGqryvSQioESgxEDQVPSi5XdpW2AvZye0q/Ywr4RVnb4Hj5UqiErzOJM1s2fhETiby2bMVOLfRH1qeF+oTVGiuOrRFdKi/dsAkMT9xnK7qfMh+mvwbYvvp/WK8rWqcZbwzofswDGzbE2sObxXvTcvNFJ/FF3tEBPsECvLT08UdiXHxYp3TonUrLNn5n2gERfI0LTfjktg0p6IQ+w/tRVK+5CXbpkkk3FxccTResqAI8PTF4Ha9hOcrm0X9b8qdQp1Ka4E4o3pW5jOpnH1w0s3i2I4nMJGqQ1dRQVg9OEZReUp/T5bu19T9XCZSWepP8BrXJ4FHApfrRlv7YpIkZ5MwW3tV29oPlWClVn2RqGPGjIG9oM5K1NGjR+Ptt98W31N9ymzM2LFjL1jgx8bGKrOXGjRcBGejokJuHlWTElV+b2Ms51eisdTFYLkJ4aR3xOReo8X3327607rGUhqJqkGDKoEjSS1rPNrU8EVVSy2jVnMpqmroe6V0iSTJTQYkTDgrDW43LCxMBJBqgdeR6ksqMflqrARqdYpUBpwse2TXZaXVlqbgWpn3NC0UlAaDfJbcq+HppqbPqtL3l2zZoXQwqoRXnEai2g+J2hA8SRvCPpCw5POkdjOvqtC6qTROnk6OFs8eEyNMdFWlmvR0lRKM4f5NRal8QmYKDsXWnIj1cffCtL7j8PyM+zF3yFR0i+wgqv/KKsqRkJmMA9HH8Pe2ldh6dj8SyjOx7fQ+7D57CEfiTonfk0B10OuFypTkZs8WnXAuK6GSQJ3UejBCPYOQkZcNX3dvEWeRuI3PTMYbf38ubAR8Pbzx8KT5eGLyHWJfhnfsh7YhzdE3tKMgWIN9AoTdGrfB4+rarF21Y+mePXuE0I3nauTIkTUSqLZWpNL2gAnF9u3b29wXMy0tTVRv2Hqto1ZSsSHuw0k7mwvrzC49+eSTwkuDmXP6azDLTVNiGSyNs7WXhYbGCydHY2Mpo89MzZ6ojVGJKili8lQo5y8wqkddHJwwve9Y/L57JXadOSiyrJZ2f6wkUZ01ElWDBqVB0oWLWyYy6+qlyMUylTX2oJahEpCLWu6vks19uF2WD3PdorRij9U6DETU6LjOQIOleQyo1VIq8P7o37+/UKUwqOE6z9YL+vogUqnA5TFThaNmcwuSp7LSVw2rAN57VPQoraLlup/3ndLkLMczbpd2EkqCYwaVW0qrtmXrAWsCfgaObMiroeGTqBz71GrqZ8k+cM63JZhgkz2/67shWoR/UyHMYHxBj1P6CbOkn31YmFg0ha+7V6XgZFTngaI0f8m2ZbUqNwl+Rq+WncWL4xJVqUlZqdixbxfS9X5o2aaVGLNpV8bYiC82iWriE4AATz8x3vDzHv7+VaFQJTn7+OTb8cu2ZYhLS4IeOtza/2pc2X80nD1d8fWm30XjK9oIjOkyCBO7D0e35h3Ei2BFy7Jly+Dm7CLIU5b4Z+RlCS/XAW17Vu43k8H0iWVyjuMe1x4kTy0d+2yhSGV3dibgban0vjhJaEsytyE0lSKxXR/7kJGRIYhrpatFGiSJyoGKmfr3339fBEp33333BTcaF/b2xCZrsC+4GIlRuXFRVSgxqlTZtbCxlvMXqFDOX2AkZukl2yIoQkzQiVmpItM6pH0fi7ZVbPREdXXUSFQNGpQGCUVWfTB4rGsgw4WRGkpJbpcKOCXBNYZMzirdIV32L1WaRKX1EVUyXIQq3SiHwQaJdG5/wIABUHNxK6/v+H1jJlEJKrOpRqXHHdWofLbU8kKl9xuJW94nSoOBP0nUTp06Kb5tJhz4DMo+gEqByjYGbSQm1VDSKB0QW5vAIOFBUs6eAseGCJ4/Pqt8kdxTC2pZ1dS1uZQtm5HJc2Z9k6gkJ9uENMehmBM4HHdSNFdiwz8qJkm+ySX8RJi/lOSJz0jCnMGTBan549Z/RDm8uY2YCI4bLLmPPnkWLb1CMWf8jBrHvuyCXDy55B38sn2Z+D/VrDcOm46PV30vBCktQ5rhxasXQF9UgWXb1uBUShQKUYrE/HTkFOcjOTMNJxLO4rrBk4Vf68Vx1Tcbf8PJxHOC6O0c1gZluUU4GHtQjHNyYofkKbkaa+6R+iRSOeey2oXVL7ZWoXLu5BzHKhRbgiQ41/m2bCrFfeA9ZE21hTlgHEPRha2tC+qlnJ9gdv6tt97CokWLhCrVFFzUT58+3dr906ChSsg+pzUpUc+X8zdCEtVYzl9YWnyJ2bm1kC0CqEQVyiMjcbrx2C6Lt6UpUTVoUBdMVlpT0i2XyMvdYxt6ySE7ttKnSo2AkItmpa0CGGgxsFNLOcTrL2fw1YBcwk8FKhWavNforWbLzr1qgmomBowMyqneqa7ZlBKgsojnVq3AlD6B3G81Su7VKuXnM0gSTGnSWm7O0dDKHKm8Iomuhmft5QTON1RFq+GZ3dAaO3EfWOmp1phvLvj8cx84jtU3ejaXEkN7zh4WX0kYcgxl0sgUbMZEnEqKwtAOfYWfKBvyvvLnQos+r7omUheD8+Lvu1Zi8LOzBIGq1+lx77i5mNx7NN76d5EgUPu26opPb3kRx5PO4s31X2N57A6cyI/H2ewE5BblI68gH/vOHcGiNUtwzVv34OnFb+Lf9SuxYcdmnEiPxpPfvoHluzcgOiUezhV6tHZqKtYXPH4mVdkwatiwYUKhqwTJXl+l/fTYpW0O13i2BtfEnPtt7cvK54vzoS1JZbUSkBeDY7e9iS+tIlFrwjfffIP7779frc1ruMwhl+jLatMaG0s14nJ+0/J7pZBfJJOo0uQ7pH1v8XXzid0WT56FJZonqgYNaqJbt27Yv39/nf+e2WUGBEqX9JuqZZQO3EgOqUH6ksygkklpMLCRfS+VBoMkNj4gsclAT0lc7IHKAGfo0KGC6Nq+fbtNgme1wLmNBPG+ffvQq1cvofC+2CNV6evHc8sAVQ2/UlnlSnLBVJmlBPjs8RlUy2dVje2q0ZxDth6whkTl/Ua1k9LX6HKEtXOhuZCrIWwJWQVqS7A8nGSuGpUstYEl9sTh2JPILcwXzw+TURzDTeelzhGSV+jhuFOoMFTghZmSbca3m/7AyoObFSVQD8Ycx8z37sEdi55Gak4GWjeJxI/3vousglx8tX6peM+sAVdgWp9xeOLnt/D9lr+QmZ8NHzcvjOs+FHeOvx73XXkj5o6chr5tu8HT3RMpBZlYenAVnvzvA9z/+2v49vB/2B59CPE5yQjza4Jrh07G7dfehCFDhohxhOO9GlaKahOp9JbmfKW0jUtdQTsENZomNpRkZUP0Q923b58Yw+0JdZq1md2gfN/SF0v/NWhQAs4OxsZSF3VArFKJanxvYwJL7R30Dhc0glIKBSVGEtVRIlF7tegsvH7oB3Q84YxF29KUqBo0qAsSPmwcUFcwu0xyQemgUC3FDhfzDGKUVuHwPKgVmFJJwH2Oi4uDGiCJSoKPpKdSqK6JFAM0Eqk8Xxs2bLB5gxMlQKKfJCmJbgajpn5sahGptLpgGXfXrl1VUXgwgUGyW41mVXz2mHxR2p6C5AeTGEoHjSRBSIAoHQgy8Oe2rTkPHLs5hmuw/VxobyQqn29bVwSwIvVi9Wd9gI2iWgSFi2ZPW05I15zjNp9FVsLKaN20meh2X1BciP1Rx0QDpxuGTRfn7c4vn8b2U/utJlCPJ5zFbV88ibEv34BNx3eL2OmRK2/FF7e+jIWrfsC6o9vh5OCIm0fMFJ6qH636TniZBnn7497x8/D5rS/hrrHXY1LPkbiixwjcMeY6LL7jdbx/w9MY23UIfD19UAEDdHq9sLBzcnZCq6aRuG7oZEG81pdKUS0ildth8oOWNg2hlJvXXC0fe0vANYdaTSEtgZqe+/Y+F9aJXVq8eHGdPkyNxZyGy7yxVPnl2ViKk6a7s6so/WB5iFrl/LIdAstPNhzbid1nD6NDWGuLPVFlQlaDBg3KgosOBg0kTUhaNqSgUI3mUqZkp9JkC7d34MABoehQMjDhtqhsZOmuXHaoJKiW6NmzpyhD5zFY6ydZHYFqSizSt4zlV5s2bRJ+hHzZo5qOKipecx4nSyCrKn+UidStW7cKIrVPnz5WKVRIxDIwZ+ma0t6fMthohfdCXccEWzTcoLqV+6u0kkqtplIc23j9rLnvGThef/31iu7X5TwXvvDCC6p/DgkFquZsCdkTnFYuanrA1gbaUKjl+V0bhnXsh3Mb4rD84EaM6zZEjEfdu3fHunXrBKEqlIR6B4zo1B9/7l6N/w5sEApWqlHPJEcLwpPK0Wem34sbhk2rFKaYQ6Ay9lx/dAcWrVsivhL8/Gl9xuLhSfOx8+xB3PLZE4L09HX3xoA23bHq0GZBGLq7uOHqfuNF46jq7Oa4L/3bdBcv+quuO7Idi9b9guysLNw66hrRn4JesPUNNTxS+SwxIdW3b180BMh2UbYmL5kk4VijthdpQ2hsVV5eXlkF1OhJVC40NWiwJWRSjhNUddmwkkbsiUq4ySSqUe2pFOgXZEqiEvQRIolKo/O6KFHZTVKDBg3Kg9l7BlEkguraXEit5lJq+aKSwCH5wLFfSSKHXlxUJarhnyg3mKKKTw2fLQbVrBLiQpRqyroSO7URqDJ43tu3by8CDX4m7x964zcEJYk54HU+dOiQCFQ6d+4syICa7iUliVSWnLJZBBXEaoDl9vTI69+/v+LbJrFAElWNYIf3kBqli/LzrDTpa22Zo0zSvPPOO4ru1+UK3pNHjhxBUVGRqsQDx1omLdlgylYNXzi+kyTks2hLEpVJJ9nzm+NofWJUpwH4edu/iElLwN5zRwRBykQJG+lR2UhvUI7bJCsFibp/A24deQ2CfQLwzZ1v4q4vn8Gy/RvwP5bWb/4TNw2/Glf2GgUfd68qCVSW6NODdc2Rrfh37zpk5EtrG/qeTug+FA9ccbNQvb7650LsPHNQ/I5qWRKitBMgSOjOHTJVfIa54Hun9BmDK7oPx7JlyzCx/0RxXLaCkkQqnyOuizif2vKYTMF7mQprWze3agil/FTC8hlXe5w7efKkIFIbip2DubA/2YAGDUJdKvH/DKLLKy4tr+PP6H/T2ElUgmUqSqKguOgS9WjbkBbi64nEupGomieqBg3qgAs9a8sY1WouxeCOpKHSJYfcLhdcSqtnSYqxm60aTaC4bVbjcLGoVgkmSU1ryvrNJVAvJhSYWGdAv3HjRhF4MjBqqOA9zmNctWqV+J6BtrnqYCVK+6kcYxk/CWe1lLtUoVLNSQ9bpUHSmfutdPMPkhZUAKkRNFLhqsa5sDbZQmU67yWSPhqsB4kPKoOZHFETHAeYLFLDP9sSkLy0tS+q2p7ftTXYHdt1sPj+u81/VsaC3B+SqSTUiR7NO6JbZAchrPl41feV8dMXt76Cl695SBCfR+NP46HvX0W7B8Zg4NMzcdUr8/HC8oX4/uRKzPrgPvR+Ygq6PDIRNyx8RPipkkAN8PLDbaOuwbYXluLjm57HjtMHcO379wsClcQqCVQqVin2iQgIwYszF+CecXMtIlAbKpQo7effMAHLBLOS1UrWgIkRznG2LuXns6TWfGgJuH7nXK82obx3717hh8rksj1BI1E12CWcTVSSVZX0yyrUi9/bmODuIpGoypfzy0rU8yRqu9CW4mt0WoLZjay4oJGvg4uTVs6vQYNasJZElZtLKU1KysQFiSMlQRKHCkg1AkgG4vQuVZpQJqg8JPEil4upQdSSnCNJaOm1rAuBavq5VBCwmz0Do7Vr14pGVySIGgoYlLBscPXq1ULxyNJBWhJYqrCwhkil5yeDRjXL+KmwZZdjXg81Ah+1VDpUvBBKk50kZxkUq+Gzyn2Wy6rrAo7Z9MRVooO2BmUSiuaCxILSvtyWghUNTFjl5eXZdD/U9vyuCWzS5Onqjui0eCzbt6HyPuA8yOZAnGv5/7vHzRFf/923rrKhFNcRVJ+SBH162j2VYpGzKTHYHXsEO+IO49/967H99H7EZSRVxkJzh07Fkvvex4FX/xZWAEfjTmHGu3fjk1XfC+FIkJc/gn38hV8rBSRUnr51/ePoGN4GjQnWEqlyGX9DUh8ywcm1pRo2OJaAYwvnBbXWCeaCiSKlE6aNxQ+VsC/KV4MGI0x9Tk0J06qI1cboiXqhElUlT1ST8xbo5YcATz+k52XiTFI0ujSTOl7WhCKjHyqhKVE1aFAPXHz89ddfdf57BhdyUKjkgonblclOpUsOSYqQLGIpmZIgKUJiLSEhQXE1Agk4EmgsX6PyQg2Si/vPz9i5c6dQiFbXSVgpAtUUVP/wXiRRzKBq5cqVQtlLmwE1yqnNVZaQ+GPAxvNP0ooKLmv2pS6l/QwwqbZgwkKtMn6CzwTvATUsI3guSUqo0UGXYwTHCqXvEQaBVLcobc/BJAWvudZUqmGhPklUJopsCY5DnFeZJFCjI7u54DPL5tFUwKvh+V0TvNw8cP3gyVi4+kd8u+l3dApvjZZNmgkSjPYCvBc4D3aP7IB5Q6dh8YZf8ezS94TFGH1FiQBPX9w59jrcPvparNu6EQdjjiMgLBilFeUwGCoQ5B2AJj6B6BDWqlJFWlZehlWHtuCbTb/jdFJ0ZUzG3zvqHcQ56Ne6G24aPkM0kGqsqGtpPxPrVAozkdlQyviZEOVaoXfv3rbeFdV8xy09H7xOXDOpjT179mDevHmwN2hKVA12CXY6rIlElRsaXfzexgR3Z0lBU1iqVmOpC9URbUOaW1TSL5fyExqJqkGD+s2lSHI0NGWNWh3vSULSgkDp0nEuWqm0U6OknyChSEUiVTJqgU2eqOgjkUrFXH0QqKZgqSv9OBm8kmgi2bh+/XrxOfSYU7ujND0Ref22b98uyvZJeLHxFpWyoaGhigQmlipS6YPK+5WEq1pl/Hz+qaRRS9lDxRGfOzX80dTyf1OLnOVYSQLLmu1qJKr9kqi89lTRWTPnNuT51VKwJJvnwhYWB2O6DEafll2E8vO1vz8T3qUE53GO9zt27BCVJSy9H9V5oBDZPPTdq/hgxTeVsaLsgaorqcCd02/E3GHTcPOIGbhl5CxM7j1aNHgiQRqbnigaPE1+83Y8/cu7gkBl6X6IbzD8PHxEvEnC9Ykpd+DRq25r1ARqXRWpvE+4NiHhqkayr66gkppJ5/pQXtYEnr+G4ofKdY7aCZqKigq7bCpFaCSqBrsEF66y12lpefVKVE5otjaHVgtysyblPVFlEvXC7KBc0n8y0byupLLNAAnUxnoNNGhoCGBTHJJmXIjUFVw4ctGktK8ZSRc1Sg5Z6sRAVo0AkueTxBsJP6VBUrFdu3Yi2KiN4Kwr5C7FvJYHDx6sNqhRg0A1BUvRqFocN26cUCrx/tqwYYMoqadvIdW+vDesJVVZwk7fyxMnTghfVipgSaLymRgzZowgdNVQ/ppLpJIwp0qLFgJqlm7z+Bl4qXEtea/KpfxKg2MD7wOlffHUDEatVe3LpI09Bo4NGTyfVIiqTW42FF9U3tvcB46BtgTV3hwbOM7VNziu3zN+LkJ8gwSB+swv7yI1R7ouXbp0EWMunzU2eHpp1gOCFGXPjG82/o4r37gVH634DktX/YWMzIzKJlIycgvzse3UPlGqP+/jhzHt7TuxcPUPSMlJF7FNmF8TNPEJgKODAzxc3DCz/0S8N+8p9G7ZBZcTzCVSOUeSQGVii2uChgLuL+/dVq1a2TxeZSUPSX9bk7n15Yd68uRJMX41JFsHc9E4JXoaLgs4OTgJFWpJFd51pUZ1qrNJc6TGBncXN1U8UStJ1IvOXWVzqQTzFklyhlcmezVo0KAOuMgZPHgwNm3aJEidupZiMzAk0aXk4o3BFbdHMkPpMmZZhaP0YpxBF5U1XFSTjFSDpCWByRJztQIJnneWypG0JJl58eeoTaBWFWDzxeCAhCdLUEn6UZ0pExJUPDCAZck7X/y5TDTLHq9UmZK05FcSbww4+JXqSB4HP4NkpZrduS0p7ed+M7nBEkE1/c14HtnchY2y1ICcrFBLLcoxQummEjwnvFeUVjvxnmSZozXdyJnc4Hbqo1TycgKbCpGMp/pw+PDhqn6WXL3BucJWYNk6CSzabNhyPwjOMWvWrBFjMsfz+oSnqweevfo+oQ5Nyk7Dg9+9gvsn3ICeLTqLsZfJNc53TGA+OfUuDG3fB6///TmSs9Pw2aofBanq6e6BgH2/wN3ZFeWGCkHIXhxf6aBDeEBT6HU6oXylCtVZ74Sx3YZgRr8JjaJplFql/SQq9+/fLyoxOO7Zmqw0BX3SOVfY+hmS50OOYWpVrJgLJmdox6Q2Nm7ciAEDBjQYWwdLoJGoGuwWzo6OyC+uWolaYvwZ39NYIXuiFpYUq9RY6iIlqpFEPZMcI5pGMatrrhJVgwYN6oIB43///YdHH320QfmiysQL1XhqkKj01WJ5vNILMCoSuLhjIGCOr6gl4OKYWfcDBw4IDzm1OpKSWCShSIKPwbZMgNUngXoxeKz0JOVLVqYw6JbJUKoSeQ+SJOV1lRUtLNElOSkTrLwm9P4kacKAXelrpASRyuOh6oYetWqX5lH9w3tJrdI7dpInSaJG4MugUY1gjdslgVqbX60t/FBpbzFkyBC760bc0MH7k3Mhz299kKi29kU1TSbamgDifMPxmGPR/9s7DzApqqwNXyYCZlExuy6uYtbV37TmgCIiKmLO2TXnsCqY14gJzGKOu0bMYsSsu+bMggGzGIgT+Z/3Tt+hpunp6VBVXeF7eeppJnVXV1fVvee73zlnnXXWCf31SZ0/a8jR5qJHrjdf/PClOeeBkWa9Zf9qa6ayoMgiM9csKf4bLr+WWWeZ1cxNo+8yz3/2pvmp6Xfzx/QpVlTNBrfpovP3Ntz5fvxjko1/WmfOtDHYVqtuaAb+dTMz/5zhisZxFFKp183Y7sr8RAUWszhnEdijsF9cy8w/K0mY9VCfD+FeHRQavUWsnaidNpbKfM/9ThJhtRSmNfqczp8RP+uyjt3i8y9sJw2Io9QF+tOCixckojqxVwgRHExC/vGPf5QlKBIUBtFhlyCP9G1SdvxMZ8Y9i4DGPlNr1E9wDSLSkcKMCOY3rjEWYmaQaUyktFMP9K233rKCKiUKKiWg5oKghX3srCs75/Njjz1mNttss0g7FbKFVFyKr776qk1bpEZtkBCY4kTbfPPNA3l+RENEboQIv0E0x/0eRDMPgtEgyg/4UQ81zoFj1OG43nbbbWbYsGGBvg7jJWUDOIcr2dgJURCBMIjFxGLhXke5liAWYwsVUs/d5Thzy4v3m8ffecG88tl/zGufv2NW/9MKZpWF/2JeeeNVs8G669vFlffefc8sO88SZt+jd7Hzku9++8n8NvV326z3lym/2e3bSd+b97/+zHz/20/tr7HofAuZfqtsYDZdcR3rgBVdC6lk3TDf4fthZYkUChkcLNYGMVaUkj3BxryhkpAtxOcU9H1t5syZdiw8+OCDTRyRiCpii6uJmrOxlBNRPR3mk4YTJ53o6X9N1LrZ3FOLzd/bFlL/ZtIPXYqoLp1fTlQhggfRxtX+KlXsIOhB7GQV2s8VeRwqiJKkcJPK7ic4X2imw6PfLjmcd6Td4qD1O7WKfaVeKMEvrkwE2yCDbNwWpLi60g9REFCThhNSx44dawMDjnvQaYuUR6BcAIFqUMEpLlSu2yDqubJIwYKC3/uOkxnxl4UDv0EgKsdZzLWIy51FLxGMiHrYYYdZgTOIJmhhlKopBlcKhWwPxsFKQkYAx4JGlzitK5GyTS+MAzbZyWy+0nq27uk7X35s3h7/gd1I2b79/cfNovP1NvVVtWblviuaCa8+YhqbG82UGdPMd7/+aL797ccOzYlh7h5zmrWXWdWsv9yaZqUllo1UKnrUhVQWbkkNJ2U7avMO5ro0fWT+XOn0eTceMh8MsnZ6Ibha4kGf559//rl1vAaxQBsGlT9jhCiRWY2l8tRErU5BOn+D3yLqjJzp/LDE/G0pmBMndd3MxYm73VUTVYjAYQJImhTiTTnOToKgIJplBNVFmDRgnECuZqbf+4yYjFMhqOAX5w4imN8NvXKJSkyIWfmvdBOSJIOoycb1SMAeVPMwB2IFQlFQtXXpQE4DsCCen2PDtRWEA4gFGwJ2v8VZPluCvnLqrLIww/Osvvrqvu6baINUWD6f1157LfDXCmpcKxauIQSYqBx/SplU+rhg9Dhj8BHmin3OMIPX2tI6SOvr6s3kpmnmg28/N5/9/rUZ/c5zZvR/njVPvTfWulbH//SNFVARYldc/C9myDpbmzN3PMrcePD55tAtdjcrL7mcBNQihFQyhLgX46wMcqG4VKh7z5yXBc9KwxwwqPEwKg0ZsyFeQVyPmju5UJKrMInE41ymTjD10pgRVutqE9xYqq5HIE7U6U250/kBJyp8U4CIqnR+IcJ34JD6XE5dVCa7rrC9nzAhw9GGcOLnij9uIGrBEUD6PUnnePTt29cKVbxGEPWyEFFpakCTpaDS+l0NVByoCM7U6aSLtatLKvwTHEnnR8DhsySdP1ezKT8dkXRD5roPKrDHpcNCRTn1PzuD+wzHxe/GT+65gwgCOeblpjk+99xzqocaUl3UoBqtBV2qplgYn6gPXommTtlwXlMCh3GT+USlHX6UItt9/UFm1/UGmrGvvWI+mTjOdJ93DvPpuM/MQosubHrNN7+NFXvUdjeLzLegWWTehUzveXqZmgSbcMKADCHmHiwWcS5QdzS72VQlofwFTkhKyURhnxizyGapRBkMLxgSEHQpWRM0zz33XKzL2siJKmKLc5k6wTR9TtQ2h+d0v2uiZtL584qov3QtojY0K51fiDBhMkIqMZPDcp01rqGPXxDYEVwhQvgNK/fURcXd5TcISATHBARBQIBJkIEjgtqQfpPdRIpgmxqpNGoigPD7c04rnNekaCNMU6aBc4ZjjhsVIdVvp7E3jT+oumUIMrhQWUgIAhY+aIbldwDLsaamWxAiqh9pjqqHGjxORA0ab6maSoL4wlhF7ckoQFkB5zSPAuwLpY6aZzSavbfdxey1xY7msG33MX2qFjIbLLm62Wmdrc3ANTY1a/55ZRvnSEAtHeYULL4hnOIy5B5Paj8LfgipUZlzMP9hXuq3YSBq42EpY1wYix8zM/VQ4zwWSkQVsaWupm3Vl1o22TS1JL8mas96/52olEZw5RFypfMvnknn//bXHwp2okpEFSIcqOuESwqBrFRYBcdVQx0rP2FiGFTqI+KgqwnnN+w3rkKEyHLE6Uqk9WcLqA5S1whqEG4JLIMuJZB0ENhJHeY84Rp0QZCrkRqEkBp0Gj8Q8JKO2bNnT9+fm3RfhE6CRr/heUnR9Ns969Icy2n6wTmA2B60QzLtEJhzTVIXNU0p/UEtJhYLAgwLPIhplR5fnIDKnIZxj3uDGwepxci9FDdx0KVX0gDnHmMd4jlue9cw0tVIjYqQyn2B+U+QTT2LzWJhITaI8bBYwkrl/+yzz6zrNa71UEEiqoh/On8OJ2pDJtjN5aZMCkHURHXCZ1dO1ImTfuhywjGjsaHDfgohwqmLOmbMmJKfg/RaVuaDCAqDcrkiWiH2MCkOYnJOujFCJ86FoEBE5fMjrT9IAdVB6QPOFSbvuJfDEBuSBmPgu+++a4UCHDe5apkFIaQiEhKM4mAOyrVCQEdtZM7LIOBaxbUbROOfoJpiEPDxmZeT5shCCc+x2mqr+bpvInddVO5tQcO59uOPP1ZcLOSezoIHQmoUwBmLYMlYFDUB1cE5suGGG9p7KqK76oWXtzBGo0wWm5lb4ND2EiUh1ZWaiEqdVhZiGQ8rXRuUz3Dy5MmhuHPHjBkT63qoIBFVxBaXqp+rJuosJ2pyUzKCqInqUvmrulWZmqrZa7gtMu+Cprqq2qbq/zw5f+rpjKY2EbV7guvSChE1tt56azN69OhIOmtwubrGLH5DmjrNk4IoF4AYg6sG4YfXCAIEVNLseQ0CuiAFVAeTV4IagpsXXnghkM8lqXAeUP+UEgwEjPmENT+FVJ4DIQ4HDY3ggoDgliCTLtvZooMfcA8gdTEIFy3HlhIEQTQKcbWiy0lz5N681VZbqR5qwHDPHjBgQNljYSGwwMY1Xu5924/3zDUV1GJiKftDaRMWHykNEjUB1cF9FNckC8i4xBGRRHEw72IOwTiIMNZZfeAoCKnUoKf8BlkjUSDI8bCUY8NnGEZ959GjR9t7dJyRiCpi70RtzAimXhozwmptop2oriaq/yJqz/ruOV0c1AlaeJ4FCmoupcZSQoTPNttsY4Wacmq0sUJP0OO3O5EgZYkllgikbhvPjROQADIISEtDQPHLKZoLnBsrr7yy/fxwiAYpoHqPG45GHIeIgjQnqbSjKsoQ9OH0evbZZ62LkmZdhaS7+yGkIgrwt5yLOK+DArEQRwpuviAg1RPhwqV6+gkCKmJJEM/tR5rjww8/bAYOHOjbPonO4Tg/8sgjgQs1zJVxXUbBAcpiIveYSgu6Dpx+3EecAztqAqr3/rzWWmvZzxEhlTlKFIToqMNxZk6Ei5eF5lVWWaXLRaZKCqk4jckeQUANIgsiauNhKfvCPSRopkyZYp2ocR8LJaKK2OLSzZ1g6qWltS1AqQmgI26Sa6K65+qZR/j0pvTnY3rGiSoRVYjwQAClG/ijjz5a8nMQcBD8BNEsA6EToSOItDmEJdIqSxUgu4IggYk/E8Cg4PggNL/++utF12AtVkD1igAEuqQ14iih2H8QTa6S4D594403bP080rHXWGONohyF5QipBJrvvfeeda3w2kGl8RMU40JdbrnlAnFL8j5Y6MB1E8R7wNHDNeT3c7s0x3LqoSKy8RmSLSCCZ7PNNrPCNwtDQcM9m9cKqm52obAoRlOnoBYTS2HZZZe195Ugy+GUI6BmZ5zQrd0Jgypz0zkstCM4U4ue48x5VyiVElIZu5kbcb1GgaDHw2JgfGMLIosjm6efftrO17k3xBmJqCK21NVmaqLmKKLeklnxzJWSnriaqD6KqLPco52v0C0+f5sT45tJ3xVUE7Ve6fxChAqruzieyoH6TIidQbgtSX8MwrWDswCnGPWlgoCJP5NvamAGyYorrmhT7QkECw0uShVQsz8b0hp5jy+//LJcqTncp4gUm266acmBRqlCKuc0Ig1NGIJMBceJwvvNVd/VD3DIITTh+PIbAkDE/yACZO6FlCPh8ysVXJE4l6PgOEoDjAf9+vUreyws9N6JmywKDaYQs7jOglzsKwbumZSqCSOtv1QB1QsLJdzjGYO557MwI1fq7O5T6p+SnUM5m1Jqi4YtpLo0fkpMVFqwdLDoH9R4WCzMcTj3yxnjCoV78rbbbmvijkRUEVtcqn6udP7mjBO1KsEiqnOLTs+k4PuZzu9KBeRisYyI2qUT1QmytXKiChEmTE5Y6S3HRcGkDldiEDVAEWiCCkxwVPLciFRBgEOPQJmmO0FBOhxuGEShQgRbPwRU72vjDnCu1Oeee84KSGkNIgn6cSQ59ymfS7l1QosVUhFEcIeSbhpkCiLBHOdb3759y6r72RmcQwgpiDwIK35DMM7iTxB1XAkwy01zVCp/5VL6w4Dzg0WISsM9gusgSm5UxqWg0/r9EFC992jK3HC/557IGBAVUbqSsEjldZ9Sm7uce3lYQmoU0/iBazSo8bCUheIwHLotLS22HmoSxkKJqCK21NV03liq1aXzp8GJ2tTg26RkVjp/jy7T+buqidreWCqPICuECMbJiEMAF0WpMNGkwDyTZb9BoCU9NoiUcVxebEGlDnJcEJkIBkmtDgoK++M6ZJKd7zPwU0DN5UqluRApyAROUamzFwaUhHj77bft+ybQIzXYzzS3QoVU9oOfUys3aAfjBx98YN9rUK4Yzh9E6SBqrTIHIhAPwkGLKMOCBsJUqSDAcD9OgvsmbTXCixFRg1p4LBZqXHM9MM5GBRYgEWsYr6IsoOZypTLus6CIEBeFzzdsuH9xHZGhwjEp1X1aKSE1amn8wEI8W5D1zQuFuTiLqMQNQfP666/bz5gGZHFHIqqIvxO1uXMnanUAboqo4K1b6uqPlsv0AmqiLjpf2032h99/LkhE7VErEVWIMCFViWC9XAdOUM4a0pF5bhyjQYA7gvTnoAJIRCCCNCb8QUJwQd1NBNtcgnNQAqoDNyIuic0339wKSNQDpfnUb7/9ZpIKATKiMYIX1xHiKe6VILrVdiWkEtQQcCy55JKBpdc7EJlwHAdVb5WgCTctLucg0gVJ1eR5Sbn3Gxw6lAkpZ7+feuopW/cOcUvEq0Z4FBYei4WSOZyzQTZCLGU8wd3JuOVnWn9QAqqD65774sYbb2zv1c8884wd+ytd/zYMyGZCOEZA5jgwHlI31m/nZJBCahTT+N14yCJ1EJkTxcI8n0XiMByxDz/8sBkwYECgZYnCIrkKk0g8dTWZmqg50vldTdTqFDhR/ayL6tL5u+cRURecu5d9/GXKb6a5pbnLmqhqLCVEPDsTM6lyxeb9htV3gs0gGkwRQLLvQdUuZSJOMIgIHGRaPxAIE7S8+uqrHQLPoAVUL0x2Eb+22GILe2zHjh1r0xup55WUNH/OcYJFAmQCR5w21PHr2bNnoK/bmZBKgM5nzuuzKBAkvNY777xjxeKg3i/XOu8xKNcNiyYI/n4HyX6lOSqVP941wuOW0g+MG5y7iItRgbEK4eitt97yRYQMWkDNFvooqcL9mnGfsYKMlySKqSwmIvLRQZ05GgIyQnKQqfBBCKkspDO2kckRpTR+RF3cvUFkZZRyDbGAWm65mjSOhRJRRexF1MacjaVaEi+isqrbPePydOKnf+n8nQuf888xjz2uDHAIqZ3hhF2l8wsRPtS0ZAKJ2FWOwIOIF0QTKNLFSQebMGGCCQJS7hFuggog55xzzlDS+oGJNhsuUMS+MAVUL7gxKRWBGwUxlXR3HCrjxo0LRAwPK3hArHz++eft50jjH8oocH6GRbaQyrHEgYp4jYsuiPqk2Wn8vF8cr0EdZ1drNQinC85otiD2f9KkSfa8KCfNkc+TBa1Bgwb5um+iMLbbbjvrBA5iMTAbFu8QR6Lg1qfRFQ72oDMmSknrZ7GG8aMcoSxMAdULZVV4PRbZcDk++eSTNnshjPMraMh44XOhpr47roxBCJxh4KeQyn2bcZTyNFFK4w86K6PULA5c9EHz8ccf2xJVNPxLAhJRRSKdqM0ZN0dNhYs1h9ZcKuP6LBcnxvas71xEJaBbYK62Wjg//v5L1zVRlc4vROggeA0ZMsTccccdZT0Pq9OIqEE4DklvxUEWRKOJMALIsNL6XeCJ044anaRohi2gesHRgcuJiTCuIoRIAkmCLybkQYvK5cB5jDD24YcfWmEFAZGgGJctpRMqdUydkIoDCPcP+4nrKej0uqDT+AHHNs8dVCBLUMZzB1FygXsfQXg5QvYTTzxhxYEk1ICLIzi5KaPwwAMPhHIdM2YGtThYLAg11CLmnhcVuBfQsIl6z4hJcRJQve+BUhEsVvP6uFFZiCNLAydyV80CowT7zjyM/afmKefwJptsYtZZZx3f6p6GLaTyN5wfjAlkWEQJd34wn4sC3KuCyOLIBfEILtQwF6mDRCKqiH1N1KaWdDpRvany0xqn+1wTNX/aw0JztzW4+PGPrkVUpfMLURl23313c88995SVbkagwN8HEYThckWcQHiLYwDpTeunoUjQ4EwkeOSYBe1OLAQEPtx/NKAi/b179+5WnHz88cetA5rJOanxlQZRF6GQoApBi31DrMRJhHiKQM2+VxrOJz5jAiyObdBBDQ5Jl8YfVKojxx7RHyEriHOWzxHHOQsyfsO1xnOXm+ZI4Mi9OArXbFrZY489yl5QLBQECcT3KKR5c19jsQ+xMkqlVxDqcPwzdhZb/qDSAmo2CI0swLGoyJyGLBHGQLIKeG9RzNJgXEY4JQuDMRHBklIrW221lVlllVVspk0lKVdIZcyh/FEYmRzFwNgeZFZGseCeZn4chlN35syZ9h7MvTgpxL+qq0gttZmixA1NjXlE1OjcPIPAOUZ9q4maeZ4eXaTgu7qoP/0xqdNJzozM5yInqhCVAXELcQTHHYXcS4EJKE4sJrN+p/sgEiF+4CQLoiM4ASROSQJIJuRBiFIEG7gySevHvRFUsXxS+Km/Rro57kEcIzgXSauPAjgLSPVnY2L+/fff2wCSNEd+htsTlycbxyyowIaJOgGiS/Fmo34d6aMEuLg7CXqjFFgBggviLvtFuQSaeBGEEwQGFWwFncYPlHpwxz4IEOppJhVEuimLOziZOHdLBaGHGnC4tEXl2HXXXc2pp55q70tBnYsO7nGcjwipUei8zRjIdUINaxZFowLjAI5U7nX8vxDXY9QEVC/sC8ca0RoBj3ON+x9zA+4hHHs2zo2wGxxx3Ngn5g7sF8ePfeJaYBEtrHT9UoRU5jrAPKuQ48bCF8ed+W8Q2QnlwHXo3OpR2R+ahoZxHb3yyiv2HOzfv79JChJRRWypr6nL40RtSw+tSYkT1e/GUj1woubJsF0w40TtTESd0TxL2FZNVCEqA4LMbrvtZld/SxVRnbPmpZdespNtv2s4IeDgNKAWVxCpYwQ0OC4IHoIKnhGCcToi1uLi8JvsGqhOBCS4IOWuHJEnqOCHjRRa6nziBubzxXWEqAqId7wXBDbEbibxPLIhROcLlnBz8Ly4EN2GcMoEnQ1Bktfn+fnMo+CsyQfvBQGVgM+l8PNZE3QEJaQSSCMSbrrppoEF9Lwvzl0cZ0G8BucBQSBu8CDguSkJUs6+33///Tb4D7o5mMgPogWiyt13322OPvrowF8P8ZRFr7DSZPPBmE1WBuMTtX0rvT9e2B+uD2pXks2QzxEfZQHVC8fXLRjiOGRs4n7LhkMSWPzk5+7RT2GV48Qx8i4ksrDJnIHjzZwIMTdqAqMfQirvFdEacT5qKePMS5jHMV5F4RokSwRzRFhlZu644w6z0047xeK8KxSJqCK21FbXdF4TNeNErUq4iOrS7qc1zPA5nb+7MXmesvc8C+QXUT01WrtnxG4hRPiQOoMwwyS6VLcBE30mpDgL/U6bJcBDSEVsQSwKKoBEqCVwCGLy6tL6X3jhBeuKo7mIX3TWRIr3hNiI0IZIGKSbsBwIdBEwnPMCp6hrvILgibjqFUMJABEMeW8Efe7zooEVf4twRjDC93luNgJvxFccFQStnK9RSJUrBI4BAgJCOOeQ229XIzUIIZVahASaQXcsRkTifXFNBAFOP86Tcpo+dZXmSDBeDrfffrtN5ReVh8/h6quvDkVEJbOC0iaUeVlwwQVNpUHMxZ3HNROlJjvAnIL7II5UMi1y3efiIqDmgnssojob78ONf2xuYZGxzS0iehcU2VxpF1c7HjGWsRERzDt2srnFRe6LTqBlMZP/Uyc+CuJdUEIq75tziLlR0G7zUuD6471ExQ3OfJ5zIoy6t42Njba02IMPPmiShERUEVtcY6nGHE0sXFHv1DhRm/xO588voi44V/6aqE6M7V5bF7m0SSHSBO5RJpU01dhrr73KCsIQ9AgE/J6IM8mnmQ5BRRCNfdh3SgYEGUDidKTGJmm7TEz9SLPvTED1Bp+87ltvvWVFH9xuUQ+S2D/nVM3+LAgkCQxx7vDI1wimiIyrrrqqFRYJKJ14GvX32hWuTivXJ9dA9vsJQkh1xxORJ0jhfdq0adYBTuOVIGCO52qtBnEeIG6Um+ZIWikLK7feequv+yZKY/Dgweawww5rr0kYJFynuJgZd6IgorI/vGfeO4t8UVpk4vrl/o5Ixv2QhQvvNR1nATUb4iEWpL1lVBjnWNjKFkQZ08ni4F7nFhCdGMfzIJQ60ZWFKie6ItqyxX18LEZIZb6AgMqiHWNp1ODzZD7HeB6Fz4XzifGZ8hNh7M8TmeaKfIZJQuqGiC217SJqjpqoM9NRE9XVLnVp+OXinsfVWu2MhebJL6K6plKqhypENBw45TbVQHRhIkh9yaCcGqV26i00gMSNGmSzD0QXBDFEKhwhQQqoDlx4CFW4U0gJj0Izk1JhMo9w6GqoUoPX1eHlazbEaQLFKAQi5QQwiBm4QWlIwjnT2ftxQirnE0JqOV2fXcdigu6gOxbjwkOsCapmLwEgaYFB1FJ2aY7ldk8mdXzjjTf21ZkuSof7KJ2hw2owxZhGHVLEsCjAohVjIWUqogb7RdkPhFKa3blGQkkSUDuDez+LoQihZGwgbHF/ZmzgPTO+U+qAchTgvse4wMItdchJ0edeyHhJiZw4j4/FNptiTGTOxTkUlVT5bJjLsZgSldJL3JdwhwYxfqapuWKy3o1IFXXVtZ3WRG3OBBrVCXei9qzv4WtNVPc8tiZqgY2lcnVNlIgqRLSaajz77LO2BqIfzpogwD2AExXnRRAQnOAQRdwJEt4HE2VcES79LigB1UEARlBF8PDiiy/adEERTRDoXNdmgmKE967wS0hFuEXQCbpjMQ5brmOC+yBryxXaaKRYcKyzsFNuIz2l8kcPPg8+l1LvzcXAOYRIwf08CnCtIM5xH8DtHzUQSLnPsVBLijv3uaQLqKI8IdU5ULmeEeGj5LB2ULKI/Y1SXWzGTzKZwjhef2SaKyZxLJSIKmKfzt/UPLvzpnVmprFUBG+oQaTzuzT8cpnmrYlqum4shVg6ecbUPGJs/ucRQgQPAiKd42+++eayngdnFg2aggjAcJXhwMCNmmthxq+6paTYsgofFLzOaqutZgNAV+ssSAHVK7QRRFALDCGVz0lEC1LcadCGCIizqJjGF+UKqZz3LIBQHznIxg7s37vvvmvr9OIYDqrWKg7XIGqhujTHcsuWUNaD/dxhhx183T9RHltvvbVNnabGchiwqIYoHxXRkmuGhRuv2zNKIDxzn2P84jOiVqoEVJFLSKXkyvPPP28dlTTYpLxB1HALAWSblNqTwG9YpEDYZIwLy4W60korRUpE9guJqCL+6fxpdqK6mqh+iaiZdP6uxE8cpnP3mLPT5lKusVT3TLkBIURlOeSQQ8x1111XlgMHJydBGCJDELAyTrBZjmM2H6S5MZEjgAwy7Z3JPIImKfbFHKtSBVQHog/uPxoGIbQh4uLUEJUFsYIUWkQB3I10wy1FyCxVSHUdi0kPDbpjMeccTuyg0gQpKYIYHJQLlQCTe5BrhFYq1157rXXeRK1DdNrhutt3333NNddcE8rruUYyUXGjAuMDIgruuCjC4gvXDYtO3EuS1M1b+DeX854jURRQAdc3+4ZBICqwuIeAynwijLnPtddea+OPJCIRVcSWuuqazmuitqZDRG13ovpVE7VAJ6rXjZqrLup0pfMLESmoBYcA8dRTT5X1PNTeQhAKQoRksulqlwaVbomblvT3oNP6cdTg+sNZW0iJgnIF1OzadziPCZQR7ugQLSoDQd6rr75qmyCRRo9Ds5xU+mKF1DA7FpPGz7lGk5ig6tJxHFnICaq2HNch94hygnKuuzvvvNMcfPDBvu6b8IeDDjrIppeyyBWWGxXXXLl1sv2CewjZEh988EFkHLIOVwOV+yblTrif4GyPomtWVAYWhqmByti3/vrr2ywLb43UqDBp0iS7iE4GVFRqgeLs5prCsBAGr7/+uj0Gu+yyi0ki0fhUfeDcc8+1E0tWJzoLQJjUZW8UfhfxxDlRm3I4bWaJqIk5xbuoierP5Mw5WrtqLOWti/rj77906kRVOr8QJjKB0wEHHFC2AwcnHSJkUM0p6FjLZDgol4xLtw86rR8QepwrNF+dUj8FVK9rmJQ3RG8aTsmVGi6cwwgniNgI6ptuuqlv6eeFCql8n5+H0bHYpfFzvgeVxs81xH0BF2qUA0zSF3G80/RFRA/uiTT8uummm0J5vfnmm89eg0FlcJQC7lgankUprT+7iRTHDZGMaxInfRh1bEU8BFTOBTI6uK5yNZuqNIy9nLMsXkYpGwEXKovsQY3R2eBC3Wuvvex8NIkkRmGiJsaQIUPMoYcemvf3Ro0aZVMF3bbddtuFto/CX+pr2lI8GnPURG3OiKg1SXei1gaUzp953nz0nifTXGry7On805va9kdOVCGiw4EHHmgef/zxsgRKREgEmXHjxpXVKbwzWLFHJMFxFpTox2Irae9Bp/UDzbgQhhEyc7l+ghBQvZ8VgpBcqeHC58znTSrfmmuuaZ0ofqfOdSWkEmRSl5NHFg2C7liMSM8CS5DdfjmepNkHVVvOjwCTIH7kyJGJTV9MCnw+LCiGtbDEmEkZiqDHm2KgTmFU0vqzBVRXA5UFKIRUSpLgqI/S8RPhj6tjx461/6cGqhtTs5tNRUFIjWIaP4uQ6F5BL6h6S+Pcc889ic7ISIyIeuaZZ5pjjjnGroLngyCFlCa3haXGC/9xXeWcYOqlJbNiWZVwEdU5Rqc1lp+SgxjtjmWPjMM1HwvMNZ99/Fk1UYWIBYh5NNa4+uqry3oexk7qlNFhPAhwyDA2B+ncQdwMI60fEGwRmF555RWbXh2GgJrLlYqgiriHYzAqqaVJAiEAoeTZZ5+15y/uUxxfQdGZkEoQiQuGoCmMhhu4uhHnKVUQlFiLiEL6NeU+ohxgvvDCC7aswa677urbvolgytvAI488EsrrLbDAAna8iZIb1ZvWT/p81ARUB/dSUvu5r9E0MV9Wh0gmpMZzb6WhIA7U7DEtSkJqFNP4gbkmi5yYCMLgxhtvtL0BWKxJKtGsxBsghx12mE1pJJhgJZIC451N+piYegMNbvDASlipq2Hu77Sa5gOtbTfJ5kxjKe8xbcq4U7vNTPaxrq1uW4mbNmN62e/zj2mTZz1vtzbxOd9zzttjLmNmIqL+OtvvTZ0xzf6svrou0ce/GHTtR/OYpu3zOPzww83OO+9shg4dWvIionOjstqOMOv3RJHnJx0WYQixM4jGEi6tH3cmom0Qnb6zX4tAESGVyT4CdBgCqncfSGNF1EM4fuaZZ+zXbGE0GEgyBGyuLhuLu7hPgxRPcwmpnFdcL7z2+++/b0XHMLpaM0fGhYqAGqQpgdrCNMPAmRYELGhwHyg3wLzqqqtsjBHUfgp/QIQhc5HPa/vttw/89dyYRioyNXej0izJm9aPOBW0Y71YAdV7n0OQ4T6AkEp96QUXXDDUfRWVAWGUMYbrhzGgs3PUCakvv/yy/Tqo5oOFpPEvt9xykUrj5/pijsLCbljHYeTIkeaSSy4xSSZVIupZZ51lTyAmSTTX+Pvf/25XtI488sicv3/++edbh2s2/G25E62nn366rL8Xxkyc3NasY0bDjNmO6Xfft3V3/ujDj8xjfyQ3QPz4h8/s48QfvzOPPfZYWc/164w2EbWqWzfz/LPP2cEn33k67qdxZtr0aeajLz6Z7bXfGfee/dmX4yeUvV9JQ9d+tI5pJR0YlcDVZqQe+D777FPy87CijYiK66rcTta5IEBCXCTFFidnkGn9THo5LkGKidxPcSa89dZb5vnnn7dppEz4wxBQveCGIhgl1YqAFMcEE37EapfdIQoXT6mri3hKSSlckqSDhx24OSGV4BEXLK9PCmzQmVa8f1zNuKwRYoKCxmyIwgjEQaWJsqix0UYblfU8PAfORkqRiOiD2E2Mx6JSUGNMthuVGo4snkXJncW+cN+ghjMCb9QEVAeLtewr4hRidFeimog3jC9cm4ioNOksZKG70kKqS+NncTpKMEdhjhdWbdLRo0dbIXXQoEEmyURaRD355JPNBRdc0OWJUWh6z+mnn97+f4KZqVOnmosuuqhTEfWUU04xxx57bPvX3OiZIPfr16/kFQZcTwT8W2yxhdwfZfLF91+as8beYKoygZ/3mN795XPG/PiFWW3VVc3W62xtksocHy9grv7Pv02POXraNN1y+N+PXxnz3FVmjvqe9hzv6jxd7KtPzIP/e8nUztV9ttf+cPS35j8/f2ZWXXFls/WmyT3+xaBrP5rH1GUYpAUmlLhRL7/8crP33nuXPMEkoKHeEyIngmoQE1WCJGpgkTkSlLOLiSVCMO69oBvBcMwQTUlLZjJbSbcawhdC2w8//GDFVGrcMpdCEFdQWljKHvNPmhHRPIJgvpIiNIEb81LcJgg1YTjdeC3EeBYggjpnCKQ5P7nXBPWeOPcJ0Mt1Do0YMcL0798/VCFKlLdQR9doxsLrrrsulNdkTHvppZfsmBZWWm1XMHciJsbJznUQxn4VK6B6IfuFxUBqpPL3uOCjlDYt/Jnbs+CMyWHDDTe0n3ehVEpIdWn8LMZF6XxkjGYhkjgpLC677DLr9A+6lFClifS7O+6447p0ypTTRRM3xtlnn23TkXLdwPleru8z4JQrgvjxHGmne+azaZnZMtsxbZ3ZVhO1vq4u0cd5zh5tq0oNzY1lv8/GTFmEnvU92p8r33nae94FjOlmzKQpv8/2O40tTfZnc/TomejjXwq69qN1TNP4WTCuDhs2zDz55JNmq622Kvl5CGZwXSEKLrLIIsZvXA1zRJQ11ljDBOkQxR3KBBgxLChIGWZDvES4YZKPg7BStdl57xxfUjpx0SEKsn8IVgjjUQoEogCCHoESx4igBLcJDplK30MQJEjHZd8I4HBWI4iQ8hqUsIt4zGtyXQZZMoDzkjrC5cz188H8f8KECfY6LAecsqQvPvHEE77tmwieE044wTqcGQ+DdFM7qOnIWMm4ybgTFRBPef8Im1wLQd77yxFQHSwUca/Dkco4yn046NIlIhwmT55sP1eEUwTUUsbXsIVURF/OabJ6gmp8WO4iZFjXx2uvvWYF8Pvvv98knaqorxLijMi3lbMyzQRwvvnm0403plRnmkY1t3TeWMr9TlKpr207/2c0NZb9XNMb28oi9KwrLKDvlWksNaOpwUzL/G32c/Uo8LmEEOGB0+Soo46yJWvKAYEGFx6TtKAK+ZNmiVuSpi9BgSOUIIzUsaC613ubSBEAIj4RUDPJJ524khBcIIhvttlm1plLgE/ZIh7VgKqtvhcphTS2IEDARbz55pvbwCwKAirBGyIe4jxuylzNpvyE5ybIpS5yEIsnDq4Lmt7gNAvK0cI5TqzBNVmuCxVRrFwxVoQL4wuZV8OHDw/tNYldv/nmm8hlwdCYGTGIay7KAqp33OaexyO1zVnMFfGFOSQlJah5y7iC0a2c8TWsZlM8L6Ihoi9iZZRg7kzZyjDLC5x//vm25xD6WtKJtIhaDFwkiKI8Mmnk/2yuix91im644QY7OBDM0J34vPPOM0cccUSld12UiBNIWzId5b24LvNJF1G719a3C5nlMq1I4ROx1f3uL5N/7fAztz9u/4QQ0WuyiGPNrdSXCqmrBEaMvUFAgERwR+1F6k4Gmd7O6yA8UeonKAHV1UDF6UP5AMQbShbgvqg0iOI4/hBTaYRFGhhiKgECzstKdrytBHwmCOscA8pWIDBvueWWti5fpdzDXhA8OF/ZT4JFt0+uRmoQQirXOs9JgMQCStD1VnFJByXUcp0TtCOGlwMpp6QvUgJMxA8+t2uuucY6ucOARRjuJQg7UYKFCoQrynTgzo6ygOrdZxYkuYbffvtt+/xpaxaaBFgwY4GSmqI4w1nc8MM5GoaQyhyBMYDzMEqlkJwLlXE6rMXeDz74wM6XvKUwk0xiRNQzzjjDrgLTcRjhlP+7Jg7ACcRKMd0HCQ6uvfZac+mll9rfF/GkJpOm5lynXlozImpN4kXUNidqgx8iasP09nT+Qpl/zjZB4Jcpv3X4/uTpbYsXc3UPp4i1EKI4EPNorliuGxUxkAAGR1cQrjegTieiDXVLg4TAltfCZedXIJZLQHUw4WY+Quo87gtcA1HApfmzzxtvvLEV55hLjRkzxr4XRLukCqoIjwhrCNuUeCC4I6ij7ielHqJS4wsBkNqKrkFZtiARhJDKZ06XZF6T+XWQASNp/LhrWdgICgJ2rr1ya6HeeOONtl8CAruIH+uss44tfXHVVVeF9poIG2Q9sDgVtSwVjgViiJ9ZGUEIqA7uQ4zd3KO539EkKypjqSjMfcpnxjyDz5CFMz8JUkjlOdnKdc0GAceVcT/MGt3//Oc/ba+FIDNUokRiRNSbb77ZXhjZGwEAUPcN1w2Tf0RWXKoHH3ywan7FGOcypf5pa9ZNcZYTtSodTtTGhtDT+aGXE1GznKh/TG9zcs3do/Bi4EKIcDn66KOtMIYwUg4IEZTWoaZoEBAkrbrqqoGn9QMOCCbzBHzlTrbzCaje90azEd4fYhd/EyWBkgAE5yUpr4jluLUQFzlvXKBNgBxXONYE9jhNESWpE4wLCxGZ94yASrp3lBwmHHNEd7p9YwzorKyV30Iq1zcps5S+CFJMdmn8XBNBNZOipisN5QptTNsZLLZcfPHFthFulM4RUbwb9YorrvA9C6EzGGOon8jYG7X7J/cV7vncM3DYRVlAzc5aQRDnmmbRj5hfrtT4uE9ZmAtKiAxCSGUuxPXLvhfT+CoMGPNxobIIGVbDy/Hjx5v77rvP1plOC8lWmESi8bpMZ2YaSc1eEzUarpGgqM+IqIjGzZnGUGGl80OvuXI7Uf/IOFHn7hmtgUUIMQuEon333deuHpcD4gECG4JhUEELQWcYaf0srDIpZsGVyX2QAqoXHLBM8mk4RcAZlKu3VJiII5YTpNKBHLHZddClmQ6plKSBxiFoJahHiESoQwym1ikBEW5ChFMaloTZiKHYQIXAk+utkK7UfgmpOOYIynCpBdm9O4w0fuC94Cwu973ceeed9jwZPHiwb/smwocaxzi2rr/++tBek9IpjJ3/+9//TNTgWHC/JysD53nUBdRcrlQa0smVGm33KefDJpts4rv7NGghFQH4jTfesOMwTdmiBu+PUlHM8cPioosusuNgmPVXK02yFSaRinR+aJlNRE2JE7Vu1oSkoanR1FTXhJrOn8uJysDk0vnlRBUi2rBqjHMD8a6cyQ8TSRol4ejDWRkECI24x9zqf1DgfsNthzORVF+CySAFVAclCxDwmJyTTs4+4K6JGrgQEbjYuN//+uuv1qFISQdEVYIVzgXeOxv/r1QaPEE8gjip4bgPeSSgZ38IMBCDcZpGJU0/3/ugnAXnP+5TavgWihNSX3nlFSukIoQW407BncffsYhRzOuWk8aPCBIUCOiI5tQkLvczYQHqxBNPDM3tI4IT33Cjkp1BmZugHNBeWABhIYRFEcaYqN3rcaO++uqrVgTlnlGs0zpsATWXKxXBjDGJez2CV5ALQKJrGIOpIcqYTA3RMEU+r5DqegFwThR7XrMQyeIC+85CSNRgPkbjOsTpsPj+++/NqFGj7HFJE9GeNQqRhyqPE5WUfi/NGbeFV2hNIt1rZk30ZjQ3mjlMz4qk80+a8vus52lqaC+nMJdEVCEiDW6sIUOGmAsuuMBcd911ZbtREWp4ziACQpfWj4MBMWnRRRc1QYF4yiSfAIxGIIWKoaUKqF7HLZN83Hg4JKm1FeUup3wmOB7YEM9xaDjBEvciojouSNLdnKjKucH7ZCOwLleAQsjlNXAeuY3Xdxv76MRczk3+z/7EJf3auUhx+SKylyIElCqk8poERrh0cXgFiUvjR9wMSsRyzTb8cBo/8MADViDac889fds/UTm23357849//MPceuut5oADDggtdZ7FKISlIBcGSxV5uU8wDrFAVkzpi0oKqNmuVBZ4uebJOsBhSz3aKGYZJBkW4sjsYd7GGMy5HsZChd9CKuMHZSIYO1kAidocwtUtZ3xj3hoWw4cPtw1JOSZpQiKqSEQ6f2dO1KpuyXaiMsmpq6k1jc1NZddFden8RTlR52oL7n+ZMsuJ6lyo1KztkSk3IISILqeffrptcIQr9S9/+UvJz+PSh4IMCF1aPxNFXHFBBkO8F+rWISIhXnXVkb1cAdXBBJ36YKR5MtFHOEbEigMIpGzeVGxETYRVNlyAiGUIg2xM+hH4vKIqXxOcML65lDsCML5HcI4TxCua8n8gKOPveR5EcFwiCKdxEkyzQYTg/ON8wllVjmO2WCGVY48QwvHEsRskLo2fay5IdxJOV86ZclMOSXE+7bTTrOgmQSYZcL+h2fBJJ51k9thjjy7v937B4hMLgyw64YqPEtxTWcgjKwPxqZCsjCgIqF4Yj1gQRVgizfmZZ56x/+ceEPUMhLjD2MyciDrjnDsIbVFwA5cqpLIoTBYD88Eo9tShTALlrsqZxxfLt99+a5vyUSs/bejuIRJSE3VmThE16U5UqK+psyJqQ1OZImomnb+YmqjzzzGPffxl8m+z10PtMUdsA1ch0gRCIW4qRIF77rmnrOdCbMHxEWRA6NL6SW8O2r1DsEUwSIo9adSdNT7wS0B1cO8kyGOyjxuW44l4HLUOsIWAGJFLHPM6SL2iKAIVP0MsdTU8eUTwY+MYcIydYOqXozVK8P4R0Qn6CYhwT/kxnhYqpPL6Lu1yww03DDxgRNzENRxkCiKuWt4TixLliie33HKLfb4DDzzQt/0TlWfnnXc2F154oRkxYoQ57rjjQhP5GIMZz2iGHDVxppisjKgJqF5YUGMh6pdffrH3AepLc1/FnRq1Yx53uDdSIop5EfNAREfOoyhRrJBKyjpzvA022CBS53V2MykyOcKcC5155plm6623tnOJtCERVcQWBj1ueDbY6qSxVE3CG0tBfW2dmTxjqplRrojamKmJWlRjqTYn6iRPYynnRFUqvxDxAQcOYg0NggiYygkISfsLMiAMM62f18KlixuQLZcb0G8B1QupiAhL77zzjn2/7EsYTRjCgGPrRNB8wRh17RDn4yggl8KUKVNsyiCCMucbKb9+UoiQivOXumrrr79+4GmXOJO5X3DfCfK1EKQRUsptWMX+cr+kkUZazsm0wHh1/vnnm913392m9HO+hAGueRYSGEeKSZsPCxbAEBwZA7kn5EoVjrKA6oUMFoQwRDHuCYh9HHOckhJTy4PFTlynnMdkgBRbvzuqQiruU+bGZAiFdU8oFsZQjnWYdWY//fRTu6BIZlga0d1CJMKNyuDtxdXkTMOA2D2TMj+jqbyO1dMz5QBKaiw15bd2N/Af06fax7m7S0QVIi4QQBxxxBHm5JNPLvu5XLH9ILsOI7xRf4nJm0vnDgoEJpo8AY5Ub4fzIAXU7CYZBHq4gQhUERdFsmAMJaAnLY5ADfHcbwE1W0h19Va95zSBEYEwwSWBcNDvmQUChM0ggz9crojxuLnLdfSSusjiBq5FkTy23HJLO7bgSA0LYhUEGsYTztUowiIr8wQEp2nTpsVSQHVwD+Cewz0WFzCLRqT5k65NOrQofmEJF+RTTz1l77Ocy4jtURZQs4VU9htRPTuzlUZNNFij7EaxTUbDAjPBjz/+aM0FYXLaaaeZvffe2y6wpJHkK0wi0VB3E2ZzorrGUp6U/6QyS0StQDp/RkRtamm2btgO6fw9JaIKEScQUBHpCCbKDQgRKxBjmFwHBRNami4hwmRPfP0G9ym14Ug1R3QiaAxDQM1ukkHXcoQvXKk//PBDoK8pwnWfIk6w8IBgjogTdL2+XEIq5zRCLt8nuAwaxFqEF+4XQTfbYHGn3PdEXV+cimxpWKRPI9xr//nPf5rLLrvMfPfdd6G9LmMI5WMQI7ONIVE5LmQEkAmBi92N7XETULPf05JLLmlrda600kp2TEUIpD4z70fkv69SGsHNGSn9QnklMpBYEItTObfOhFQWNBBQWcCmIVYUYfxmfGMMDauOM7z55pvmscces1kZaUUzAJEIEbU1W0Sd2SaiVqdgktu9rm3C0lCmE7WUdH5KCczZvWeHlH6Xzj+30vmFiBUIkgipp5xyStmiJHWwCLZwJwQFk3QcDwQ7CLZBg+hEehpp1rgFec0wBNR8rlTSvuVKTYb7lJpxQbpPuxJSXRduvg4jZZEmY9QmJI0/yLR40qQRfPxwy+BOpKRGv379fNk3EU1YMNtqq63M2WefHerrunOUxbkowpjLAg8OQyekxlVA9cKCCGWBcE+ysaD04osv2o1mPSyeijYYK1hsYyGX8g585izucs0w74uTeJpPSOWc5hx3TciiCmn8zN3pFRAmp5xyijnyyCMDLacVdZKvMIlE4xpHtWY3lso4UavTUBO1ps4XJ2op6fzQa862uqg/T/61gxNVNVGFiB+k9JMa9K9//avs58K1gpOHpkhBdw9GiGK/gwaxB5cFrgvE00o0S/C6UgliCWao7xa0G1fE333a2TlNIMQ5TSAZhgOVdGCcLLi/ghSNWWBgIYfXKffYcn+5/PLLrUsxrkKBKJxzzz3XjBo1ygpGYYp5NIbhNXE9RxFXJ5yFFsYe9jPOAmo2jOt8BpR1QJji/vzkk0/aBUvGWW/pk7TAfXTixIn2no1Tl+OA4M8xwgGZq0ZunIVUMiQQ0Gk6FuVUdW8af5hj0tNPP21rxJ544okmzUhEFQl1orZ9LSdqsOn80Huetpo3P/7+i32cPKOtVtJcGYeqECI+9OzZ0wwbNsz84x//KLs2GK5JCvWTGhekkwMhk6AHR0zQ9eQIbgmqcOsRWGTXSA0Tji/OWFypvHdcE9TvEtEGJzPXxHPPPVcR92k21AFk45xGiM+ukeo33AtwMFGOgyA1aJeOH82kXBfi/v37t9dHFsmG++oee+xhx8Iw4XzF/YZoF8W0fuA+4RbtXIPfpMHiEiVASE/n3sgiDPeTxx9/3N6/cKhyL08qU6dOtYvTzCt4z2QpIJZyPHDrLrHEEqF2gQ8LzmUnSHL9RfXcdmn8LL6GmcbPMXEZa/PN12aiSivJV5hEoqnppCZqs6uJmsAbfGdO1Onl1kRtnFF0Oj8sNE9b8Pfdb21uM6XzCxFv9t13Xzspw3VVLgQhOFRIjwoSRBLXPTioRlPeGqikreFYQGjmNSuV7udcqVtssYWd0OJsRATDVSiihXNFUj+Oc5RgtFLuUyA4JDDmvHbndGfNpvx8TQR/HOS4Q4MEtxROeFxz5bp0cN3cdtttthaqSA8I5whIlNsIE8Yyztmgx81ScDVQGWOoJcq4M3bs2EDrn1cSPgfeI47LzTff3Gy44Yb2a0RUXJk4FpkXkP4dVcGtENh3utAzRrHAN2bMGHsPpSwTnzOZLzRXCiNToVKwCM8cinkrnzOlYHI1m6o07A8LsZyHYTe7uvHGG+15csQRR5i0k/xcZ5FonNM024na2urS+ZMvovZod6L601iq2HT+WU7Un+3j79Pagnel8wsRTxB16EA9YMAAs+uuu5ZVa8nVLSUIRegM0nFH92ACGQQgxCA/G7/kaiLlaqQior722mu2rECQtR3zwesS4ND8gP3keOMUofMwjlVRORAjx48fbz8XXGaI75V2cBCEERxS/439cWUpXI1U3EdcR//3f//nq9sI0ZZAdaONNgq0MROLGwSZCLXlnv+IRocddpg59thj7T1GpAfKXNA4hc+fBoZh3d9dWj8CHYsbCy20kIkCuZpIMb5zrSGk8j2yWZIK8xnulWwI3ThRaUaF2Mj9ncUh7u3c55knsPG9KMK+U4qBjXsyWSx8voimvDfOuUrNZyoB758mUtzj3X2e8xlRFciqikoZF8oNsL8sxIa5TzQSw4VKmZMemlfKiSqSmc7fnCIR1b+aqKU5UReed0H7+H1GRJ08fap9lBNViPjCKvx2221njj/++LKfa84557QTUNITg3RsulptvAZpTn65B3IJqA6CDOpZEvR6OxZXCia21MciRRznI24SmveUW5pBFA8BKW4lnKfffPON7VzMOVRpAZX9QvTAZUNaZnZdX2+zKT8dqdRvIz2UxYaghYUPPvjAvi86b5fLzTffbB2tp556qi/7JuIFzVPgyiuvDPV1OX9xPyJaRiFtPJeA6sZdxhzEN4RUaj2nBTJ2yAThnkapD1crFlGSeywuZupHUvaHOQT1K4PKlOkM5kHMS7iHffLJJ3bB94knnrB1XpkbkLbP4jYLZjRTo9Ef7sY0CaiIg8zfWHT2LpRlN5uKgiOVc8s1ZAy7DjGlTTAODBw4MNTXjSpyoopYU1Ndk7OxlBNRXbp/kvGjJioDg0vnL74mapuz7IeMiPrHDKXzC5EE6ERNXTiEONK5yoH0KEQUUsVIYQ7SRUtAQ6dxglBeNygBNfs1EW55XWomzj///KaSIFwTFOFWcCnkBAfUoExTcFQJGE8JWAm6EB5osEZQGgUXixNGWWhgoaQzN4nfjlQCPwQYhOSgm7G5NH7ST8s95qQtnnTSSea6665LtMNOdA7XwogRI8y2225rdtlll1C7UbMI8PPPP9tyElyPlbqHdCagOtgvBF/uES+99JIdA3v1astSSwu8d9ybXtcwi5fO6ckjYhyiJb+LAJu9cVzd/1lo4riysUjr6uO6RS3GGb7HayCyu417fPbX/A2CIAIvzmbmAvy/UqVkogQNs1jgJ2shV41uJ6RGwZHKuM14zOcXdh31t956y9x66622LnAU5jJRQFePSFxNVG8h6CDTxaJCfU192U7UxuYm05IRnotN5184S0RVTVQhkgHp99SEo/YRqYzluMe8af0EoUFOABGGCOIQgJgAEzQEJaA6CIpwodB0itdFKPbDBVcuuB4JAHDA4EIhnZr9QlxGaBX+gfMX5ymp+8xBaA5DUBaVeQiBPKUnOCdwT3cVQPslpBLI87qkiC688MImSBAUuFf5kcYPp59+uhV+ceWL9ELa7DbbbGNOOOEEc8cdd4T2uoybjCUszjEW4ZSLmoDq3VcWjFhsIC26M1EqTTBnyhZWGSdwhmaLnix4ZgufucBB6oX7uFd8ZeMe7xVluRdKMO0IYzRzIuZs3OPzjU1REFJdHVQ+S8bSsO8Bf//73+39r0+fPqG+dpTRFSVijZvQe9P5vYJqmpyoM8pworpU/nYRtbXwlIXemXT+KTOmmakzppk/lM4vRGI4/PDDbSF5mkwxgfIrrZ+gNEhHJE5QnDGIP9RfpKtsUAKqg0k1E0wm3Kza03iDOqVRWLV3gRzOOkQ+GkcgLiOm8hiFfYwrfM4EYqTH4+7hM2cBIiriKeACRwjBweKa1hRCuUIqwRd/x/UYRj1RXDJcr34sYHC8qP1G4KrrQ1x88cU2M4OFQMavsOAa5LrD4Ym7M0wHWqECqhfqcjMGct3zd4ipUboXVho+T7Z8jnznMuXR6zh99tlnbXMrr0vVz5rVaQEh2zVH22CDDQrKjqi0kMr8gsVwSjWFPR4RA/z000+2HqqYhe5qItZUd8s0lsqkOYBzVNqfp0FErc3URG0s3YnqUvkRnWszJRIKhRqqc3VvEygm/Dyx/fjP2aM40UIIET1wL5DKeNZZZ9m6juWCaIdTxc+apZ1BrTLEFFxwTJqDFFC9IFaSKk1aMfXHinntoEHMopYWgRiCH4EEqf683yjU3YsLuIRIzUTYQFQhzY76ogRkpO5HRTRwbhsWLvjccbIVG4CVWiPVOWf4fVzaQQd+LsikPmO5r+WaSR1zzDFqJiUsZFCcccYZdmEx7Hs692pcnqT1h1VTsxQB1YHQyxhIKQJcqarJXRxOHGX+xf3XOUoBAZXv8TMJqMVDOQXGbVfSppjyMpWqkco1yJyZMdydB2HWiz3llFPMZZddpmZSWURjlidEidRkBhCv+9Q7wU/DANO9NlMTtbkMEbVhekmp/I7e87atjH/+3YR2MbZHZr+EEPGGieagQYOsoOBHcMBEELED0SNocAUy6ST49C62BSWgel23HDfeLx2Wo9Zsg8kwTop+/frZ4Jxg96mnnrKCM/Ukg2wAFlcImHDyEszQmINzBWFlyy23tOd0OedLkPXTuM4Qd3HHlkopQiruXDpXUy846FRSri8+F0qG+BHo3XTTTda9q2ZSwstRRx1l7wMICmFDajxOVK6/QsaySgmoDrI/uO9w7TMG8lxCVBLclJTGIPuGBkmllKgKW0hlAYLGZGQ5ectChAUCKmM4NaFFRySiiljjnKbexlKuqVRa0vnrfXGiZkTUutKCj4XnaUvp/+z7NhF1rh5zKv1NiARxySWX2BTwf/3rX2U/F6ImohOiR9CBFY5A6l1NmzbNuvHyTXj9ElC9whOTT2ptEUQiHEcNjg9CIO8ZdyquDDq/IhIiqFLjM80OVYRIRGXOHWrR4SxGQCQAI62OwCboTvOlwPmO2wbHXLFuGz+EVM4bHLDUJg7avcJ+sD+ITH7UXEV0Pu6448zIkSOLLgMikg3XAE3Ghg0bZutLhwlzahzd3JOCzOTwQ0D1Hi/uAbjzuR+RnSFEJaCMEXMaFo0p9VROtkhYQqorh8PrUUokbJ5++mlz1113mauuukoxfQ4koopY40TSDjVRPSu01RFJqQvHiVp+TdSe9aWlCSyc5URVPVQhkkXv3r3tRIri8qzmlwsr6qT2Uzs0aNcjIhfiD91xaTqTa8Lrt4Ca3WyDSTtuAl4nrBSwYqHMAu7UzTbbzApvpP4TJOBQxb2BaEBzoqjuv1/Q9GPChAlWMH388cetqIwYgBi/1VZbWbcjxyaqQQXpd3xe7CNibzkiSClCKmU/qE3KAgL7EDQffPCBzTri3C0Xzu0DDzzQ7LDDDmbAgAG+7J9IFognBx98sNl3330LLm3hF7g6ua4QIxGFoiygOrhPcm0iADPeM84mfQwR0YFzmrIyLOoxHlLmyQ/CEFKZezDW/vWvfw19vsE9YP/99zcXXXSRrXMsZkeNpUSsqc7U7+woos4KyKsyNVOTTH1GRJ1ejhO1oU1E7VFXmoi60Ny97OPnGSfqPD0logqRNHbeeWdz33332VqB9957b9nPx8o6gg8iCAFWkOB+RfwZO3asdfHQ8dhNSoMSUL0sscQSNsUfJwQp4dRt9FPc8hOOC85FNupBMoknLZvA/fPPP7eiNI4/hHC6AEf1fRQKIj7iMCUNeI/8n/fFe0QA53OLqmCaHSzy+bCx30EFPvmaTZECz0IF7rMwGuDwehMnTrSNfvyoQ0sDDe5Hd999ty/7J5LJOeecY8es4cOHm+OPPz7U18bZzfXF9YeQQ2pyVAVUL7hRcXazmMhrcPzUMV4EiVvsY4ynwSgLxX4SZLMpsjlYkGRBO8gmrJ3BfY0mlCwYidzo7iVijXOatuRwopLqH4fAp1x6+OBEnZXOX6oTtW0SN7VhWns6vxAiWXA/JcUVgQYRdaeddirr+RA9SOunMQ+Cy+KLL26CDj6Z8CKkssLP+xg3blzgAqoDYY4UcERcuuwi5BJYRh2CaRp0seG8cmIjYhNNGhCoOXZsNEDhMezmB8UKpriS2fg/HXp5j7gmER5xXcdNGEaUQABBCOEc51wLklxCKg519gHHbhi12zj3KLOAM9iP4BhHEWn8CKhRq28rogXn26hRo2xN6W222Sb0VFvuVWQ3cO0hDpVbdiJoAdXBdYUoxH5T4oZrN+h7lUgnzFFwoHKtrLPOOoEJ9kEIqZgLyOZgvytRUobsI8ZB9iENOkqpSEQViUvndzVR01AP1a+aqLPS+UtsLDVPR8fJGkuvVPK+CCGiCwLTiBEjrBsV91e5YgnBKIEUARwCHBPSIOH1nJDqxDS+Dks0IThFcMI9h5iKkw4xNS6iHY5DzgE2oOamO4484pygyY8TVvlM2RCw+R7vM+hJOWl17Be1XNkQSZ1oyr6xD070RcR2+xdHvO5TymMst9xyoTXU9AqpXE8cZ9IO/ahL2hWI+aQG4/Cmpq8f58wBBxxgBg8ebPr37+/LPopkw7hxyCGHmH322ccKKGE3siUtGdGT7AYaOJXqVgtLQHUwDvA63LM4bmHft0SyYexH/KOW+UorrWQXf4Oec/gppFLPHLc2i/xhZHNkwzyOsZA0fr9KHyQViagicY2lnBPVj9SutNRELTedf4leC9sBwwYim+xkdv+buvgJkVRwoNJgivqopPeXO0GlazgOQIJBXCpBN+phZR/XK2n8iDCIaGGDeMcEGadEnFyp2RC48z68k30nrDpxlWCGOqN8HwjSCaS9m/sebhHGbs4pNteFmufi+4wxbIhoCKSk6zmx1Ps1f0dQznMS4PAZc3yj7JKNuvu0s89/mWWWsYIm5R+cuB4kfP6UDHD1hv3ghhtusHXt/ChTItKX1k/jxRNPPDH01+f8Z9xEdMG1VqwQGbaA6uBejnDK2M/r4xqUK1WUC2WHGBsYizbddNNQF0f9EFKZv7z66qt2YbBSdUhJ4+faPOiggyry+nFCIqqINTWZCUOHmqgtbTVR5UQNL51/wbl7mfN2Pt7M1aOnWXuZYGsbCiEqCxND3KgurZ9aqeXChBMnG2IMwWCQi2CIp9SbwhGKY4G0dBwLYactxd2VWoywCgifuURPBNZff/3Vfs3vIJIR3LtHIP3Tias8snnFWFL2sgXZStQRS7r7NBsEcpdST6Ob7BqpQV2/lJQgjdmP13Fp/CwIKY1fFAMizc0332w233xzM3DgQF+amxUD90GuN4QbV0qj0HGsUgKqF8QuFk7lShXlwAIt8zjmUGG5T/0WUik1xIIIz8E8sBI8+eST5p577lEaf4FIRBWxxgmlLbnS+VMyCDsn6oymyqXzw+Yrr1fy3woh4gVp/FdffbVdrabjKZPWcmDCRirwSy+9ZD766CM7EQ6C7CZSOBSZ8BJQeptNhQWvhysWwdHVSqXplB8pylGDwJhyCsXUryQ4euyxx6xIkVRRtBgQPBAtCbgq5T51IP6zL9Q1xlHGlqvZlJ/gWPv000/N+uuv74ujmOO411572YWgLbfc0pd9FOmC8Y/yNrvvvrt1kYUtRuLeZ+GRsRPxg1qpXY1jURBQs12plAHhfsI1zlxACxoi6u5Tv4RUrke3UMx4WgkBk5rm++23n3XVK42/MNKR7ywSS3VVzexO1PZ0/rSIqHW+pfP3rItnXTghRPjsuOOOtobgrrvu2p6qXQ6IZGuvvbZ1huEUDVpAdan9CDJMIJmI436sBAhCCE8EwOwHjlxcmkK4IItzl2YsCO7UI66kgPr1119bwYNzFvHUWyPVdUTGVewnONXffvtt63r1S2A5++yzbRB+2WWX+fJ8Ir1p/SwanHDCCRV5fURQrj2ceNwn4iKgemFBE1cqZVeosUx5DZeJIEQ2zDkZg5gr0diNhYRKC6jZQipzWc7jfPNKfsb7IBOH+W8lXNhcZ3vvvbe9h1APVRSGRFQRa6ozKZ9OOG37f7oaS7U7UX1I5+9RF43JlBAiHlx++eW2XuXQoUN9eT5ETZdmP2nSJBOkgJrdbIrXczUmK4FzpeKmQIAaM2aM3W+/xSgRHwiwcGY9//zzVrjk/KWMRiXTXVngoJYvAV92DdSghNTGxkab6ki6r1+1g3F9X3zxxTZ9sRIdkEVyoI433axvueUW88ADD1RkHxjHcMWOGzfOTJgwIVYCarYrlUZZLG688MILtq62EF5+/PFHe/+mFNAmm2xinZNRSz8vVEgl84q5J9dupbJtcJ9+8skn5vrrr4/ccYwyElFFrHEp+zPN7I2lnMCadOp9bCxVTjq/ECJ9ELhRF/WKK64wTz31lC/PueCCC5oVVljBNstgkhykgOrAwYAjleDytddes6JNpcCVutZaa9m0LoQzxFQm4pVyyYrK8Msvv1hHFi4VgkTcp9R+rRScfwRa1J4j4OM6zYXfQirCD24jglIcR36AQEP69fDhwytWf04kiz59+lgRgpTYIDIpCnVzsrjh6kPGSUDN5UqlrA1lCsjO8GMuIOIN2QjMCxlXENsZh4opDxQ1IZW5KT/jfVSq4SUlSIYNG2YXE1VCozjSoTKJxFLtaqJ2cKI2d/hZ0umecY82Nje1u3BLromqdH4hRJEgeF555ZVmzz33tI1m/IDOpKQJM8ErR9AsREB1EFQipOLyI22aCXulwA2Ayw/hjJpa1IF87rnn7PGVmJpsEDlwXXLuI1RSDxaBppLuU2qHErh+88031iXWq1evvL/vl5DKuY6AwvNQJ9EPlwxiEnVQaUx14IEHlv18Qjh22mkns8suu9jNjxI3pcC1yQKc63ofNwE125WK05D7D4uJH374YUUXOEVlQEBnMZGMDMTGzTbbzPzpT3+KhWuyMyH1f//7n53XIaDOOeecFdk3Gnpyr6IcCRlgojgkoopY41L2vTVRm1tSls5f01YTFRqaS5u0KZ1fCFEO++yzj+nXr5/ZY489fEnhZXJMfVDSbBGUCKKCFFC94g8uUBwwCKk41ioJx2GJJZZoDxpIo8adiEtRJItp06ZZoYMUVpzRiKc4LyvdUIv9wg2GKIQ7jAYeheCHkErQ+fPPP9t6d34dhwsvvNCmPF933XWxCMJFvLj00kvtNXPaaadVbB9YgGTRAQc3QmrcBFQvCExrrrmmXeCkdNAzzzxjPv/8c5W5SQEI5gjnCOh83pQ6InOgUq5Nv4TU8ePH20cE1Eq5PxFz999/f3s8jz766IrsQ9yRiCpijXNmtHgbS2X+nxYnan2msVQ5dVGVzi+EKAfEiJEjR9r08/PPP983JwrBE89NQ5liapWWIqA6eD3ctauuuqoVf3iuSrs/ORbUg0RMXWihhWzJATYCYxFvEBlJvyVQ5DyLUqCIgImoi7uNgI/aj8VQjpCK0ElaNK/rV8MQOibTTIr6lYWKwUIUA+cqqbGMh0888UTF9oOFQMYw0p+puRhHAdUL4zj3EhxzlCpATKX2q5pPJQ8WzZm/Pf3003aOg4DOXDDOtaudkIqAynjPwmAly/OMGDHCjsk333yzFhNLRCKqiDXV3WZ3orpJeiVT38Kkprqm3XXb0FSaiKp0fiGEH5NE6qMiolL03w+4j+MMnTp1qnVhFiJmliOgeqHJE5NexBxSyaLgfEGUIsURlyIBBQIXAjPOJxG/QJF0PsQASkfg8iQNNyqBIgIFQj3lJBB1EfJLoRQhlbIBOHUINLmv+NWMhNTF8847zwbkQgQFDnJECkrc4D6rBIiLZFIgnOLoS0qDJkqccK9caaWV7FhPmRtE1UovdAp/zllERsZEShcx96ukWzOIRUnOU+a1XJuVOmcZh0866SRz1113dVmaR3SORFSRiMZSrZ4bkasLWt0tPae3q4s6o0QRVen8Qgg/WG211cxVV11lhgwZYsVHP8D9xkT6p59+ssJKGAKqY7755rO1E6dMmWJdbDNmtC04VRoCY8od4EzFRYCLkdRNHEci2iB4k6JIIzYCKRrBcH7TTCUqgSwLFi7dkDIS5VKMkIrYSR1UHGdcf36AiDR48GC7KHLkkUf68pxC5IO6uzvuuKMZNGiQXQQME28NVOpqr7766va6czVS4w5j3mKLLWZd+9SLfu+992z5HeYIIn4gJk6cONEuvlMrlEU7hPLOmhfGEd7XRx99ZMdB6op31mwqaFhw2G677WxGBg5fUTrpUZlEIqnOVRM1I6I6gTUN1Nc6EbW0gutK5xdC+MW+++5rA8htt93Wt3RzUiQRdEjv7Uyc9VtAdZBWjfhCbTacnxTjjwp0pqX2Hc03EFZpRsQ+4uRTmmN0IFCiji1CBoI3ogouG4KpBRZYwEQFRE7OIcR4Fg/8dKkUIqRybfEz0pBprObXsT/ssMOseH3TTTcpdVGExuWXX24XRxgTwxJLcjWRQnB0NVIZG5IC7ngWecjMoA4spQsQUzX+xScbA+cp4ikp7ssss4ydy1CKIin3aa57avi6RUlS+DtrNhU0mAC2335727/gmGOOCeU1k4xEVBFranLVRM0MnFWZVP800L3WHyeqRFQhhB9cdNFFNnCj0ZRfwQwTT1x7n3zyiRVTwxBQHaRf4ebB9YIjNWqBKAIvzlQmx5Qh4BjhdCRdnM62onJBIucqwjap8SwG4J5CQEU8jVKgiOiCAIHYibiLQO83+YRUXp9jRLkKmqn5BWnVjzzyiHnwwQcDeU9C5MuiuO++++y5fu6551ZEQHUgTOHuxuXtV5ZIVKipqTHLLrusHf+YdzD+UU+T8Y97jYgWLGghmjJHYXz8y1/+YoVwBPFSy8ZEEcRR3ifXG65Pbw3UsIVUnv+ggw6yc9lrrrkmUnOPuFJT6R0QohxcLdAONVFT6ETtnmku1VCiE3VWTdTKN7IQQiQjqKG5BmLR6aef7lsAySQUIRWxhUngkksuGbiA6uD1cEow+cXRQ6BKvcgoTUYRqRB6aUJFqjh1LQkkaUa11FJLWXdfkoKUqEL9QYJDxHaEO4JDhEGuiyhC/TnEF84dRMwgz2knpL7yyitWXELYwZnL4gTnLdeYX+D6pfYbNfb8FGaFKBRSkh966CEroqy44orWCRa2gOrg/s+19/rrr1txMWrjl9/jH+IVcwMWFrkHMz9I0vuNE4h4lFtgTsJns/DCC9u5HHO6JH4m7npkLsCiZK5a505IZeyDIK/HSy65xNYPZsyNc4O5KBHN2ZwQBVKVK50/42xwAmsaKMeJysDm0vl7SEQVQvgE9Qwffvhhm8JEE4hdd93Vl+fFwcfkm0CQ+olsQQuo2YEo9bp4fSbIOFT96h7uF0zECVLYcH3gdnj//fdt7TiEZwQl3KvCPxAlqDeGeEoNXRxR7ryMapCIExTXFimVpPviVgsDr5BK+QAaay299NJWwPULBJSddtrJOlG5BwlRKajxeMstt5i9997bLhKQNRC2gOpAtELQ5brjnkXpjKQtrHnHP44J9zfuNSxosZjI+Mc9SAQPmTDMP9gYbzj21HJPclZAU1OTFSupxY2Amu96DENIfeyxx8ywYcNsRgzXhPAHiagi1jihtMXbWGpmm4iatElBPurbnajFi6gNzY3tIrTS+YUQfsKE8M4777RiBul2dB/3y92DuwTBik7IYXdvZeJLzUiESep5IRIjTkZRLCNY4RghUCE44wTBkcD3XaCJ4J2mMdMvEP9o1sJGPU/qH+J4QkCNepDO/v73v/+1nzuLAnPPPXeor8/xQUwaO3asPRf9dKAinAwcONDss88+dhOi0uBAJbWXWuHU7vSraU4xAqp3/ELcQUhF7GFcjqpLvly4ryEU4wKmeRFzBhr7sWCEoErd5yiO23GGc5K5Bsca1ynnOsefuUbS5xksTJApxfXE9VjIPCBIIZVSAbvttpu54YYbfJt/izaSeccUqcGl7M/0pvOn2Ik6vQQR1aXyg5yoQgi/2Xrrrc3QoUNtl2Iml4if5UIKP64/RBg6nuIERcQMEybHuPcQ0KgzR0o0wVrUXKkOJuW4aNlwSpBax74T0AMp/zTnIOCJugBYyeCQpktOOMVlw/HCXbPmmmtG9rP3whyJEg90C2ZhA/GyEoEtog/nHum3nIuUyCC1n5pt5dahxfXO/eCCCy7wbX+FKJfTTjvNLrwNHjzY1oOkaWHYAqqDexWOVK5BxFRK7yQ5zRdRC9GUjeOFwMd7d65VxkXGwKSKyUGD6xLBlHERAZXjyD2YOVqSXadeyEBhjsuiPhlKxYxlQQipP//8s120obHiLrvsUtZzidnRnULEmup2J6pHRM383/0sXU7U4muiulT+2uoauwkhhN8cf/zxVrjZaqutzEsvvWSdj6WSXQOVySep9ZQmIUAKGwIwmgXhMsKVStCAqBZldwsiKU4cNo6bEwZxLbz99tvWneNcqmkJgDoDwZmgkONDkOiCbpw1CKhxCror7T51/P777za9ltqFOKQ5xt4aqaUKqZzLBx98sE0d5T4Tp89GJB/uHaNGjbLpzDRdpG54qed6OQKqt/EVpS54HprKIaTipk863PcYp7mHM/ZxX2cxlrGPezqCKvf4OCyKVVo0dAuKHEeOK8eNRlGcR1GeA/kNcwQWAhGOOa9Kee9+CqnUGR8wYIBZbbXVzNlnn13Sc4j8aHYhktFYqnX2mqjluhniRI8yaqJOa2zr3KxUfiFEUDARpCMoDhzSbOmcW0qAkquJFEHPOuusY4VUxBg/04KLCUa9rlRcslF2pWZ/NoimbEz+CYwIKnHWIgwzsecYc7zZaJCQ5OBoxowZttYtQt8vv/xi3RzUjyU45DxjASBu79/rPiXAZatUWiXHlGuV6xQnbGfNpkqZw+H0o5kUzxN2iQ8hCoH756OPPmpdoIcffrgZOXJk0fcTPwRUB9cZLnrGVUpr4KALqzZypeEeSI11NsY+yrMw9pH2j2PYiYJsaRMFOzvvWIhzwin11jl2lK8hVTwO8x2/YeGOcZUFaGofl5sR5YeQyjx4xx13tPOW22+/PfElFCqFRFQRa6ozN4YONVFbMyJqt/TcNOozImopTlSXzt+jVqn8QojgwBV29913m379+tnUon//+99FOcVyCagOJvJ8n1QqalKtsMIKFQl4nCuVAIy6o9RKjborNRsm3mykWZOih8MC4YtGPQTtTMgJKJ2oyv/5/Ti9x2zB1ImmPPI9hA7eG44kxPBcnXXj6D6lDmIlnWYI87i9ECxoJOWlXCH1iiuuMNdee60NPtMiAol4woLVk08+ac93SqicccYZFRFQHdy7cYQj4HCvQExkgSOO9/Ry4P2zscDjTU9n7sH9ydUPZ2xgzEu6OMXiG+cC4yJzAOYCwLiIuJf28gccH5p1cp5wLdO0zQ/KEVK5P+y33372vKWRVJJLdFSa9J75IhG4lH3XGMkrorp6qWmqiVqKE9WJqD3rJaIKIYIFp8LDDz9sxZxDDjnEXH/99QVNDvMJqA6CG9csAyGVNKZKBDm4UnFlIBi9++67sXKl5nov1LB1dWyZoLugis0Jq3yGTlB1j9T7I/CMQiBOnUzEUfbdiaVsnCcEw+wzQjzCMfuehJqwUXKfAjUIWVzAsd2ZyFmqkMrizD/+8Q/zzDPPWDFIiKiDY+2JJ56wYxaiFGUoKiGgeuG65H6IU5zXwJWaVpGMsY8FUDbupYiIiGXcxxDOAKeqW0yMu7DKe+Qz946PfM39l/fG/IpyDwiFURjTKw3zCcYojhtNRv2e35UqpJ500kl2/OTvKlWuJy2k884oEkNNpoanV0Rtdk7UFNZEnd5Yioja9jdqKiWECAMm486Fc/rpp5tzzjmnbAHVQRDjhFQCQUSYSgWBOIxwHMXZlZqNc6Gyufqz2cLq+PHjbfBFcMHvI6YS7POYvbnvE7AWe1xIo3PiKGIoj27L/prf4/mdw5TyBIiKBBlJEEyz4XNAbImC+5TP6fPPP7cb5RAQq/NRrJCKcLr//vtbZ/vaa68dwDsQIhgYEx555BFbK5x70g477FAxAdXBPZF6yVx71BVGOIuzE98PuP/gumRz9zQ35iE65hJW3YIic5KolZdjPPSO2bwHzivmSm6/GR95pCZ6nOcsQWV3cH0gKBfbQCpIIfXiiy82t956q/19XNMiWCSiisQ5UV191FSJqDVtQWBTS1PJTlTnZhVCiKChhhZCKnXhcOEcccQRZQuoDkQ5nhcRFSEGYaVSKU25XKmUGkiSQyCXsJpP4CR4oxt7tsBJAMej27yOnueff94+J+M7j+7/XqHWK8q6Oq7lCrVxgxRUxEqE7Ci4T/mcWETgvOeaLFTMLVRIpTQAwhP1lhGihIgbXBd33nmn2W233eyiG662SgmoDp6f64+a2Nx7yepgzBZtMI4whnvHce511BN3wuTXX39t732MUdzPCllMLGfB1zvmdrawOH36dPvI77FPTuyVYFp8/VMyHij7EPTxKlRIve2222wDKRbsK9EXII1IRBWxxqXst8zM0VgqRSJqXU2bE7WxqXgR1ZUAkBNVCBEmffv2tQ02Nt98czuB33PPPcsWUB0ECHQdRmShWQYOuEq6aZwrlck3dapIj+f9xzHFvxCY5PMZsBEE5IOAzgV2TiB1IikNEt544w3bSdmVBkAUdI8En1EpGVBJOHYEd1wzXCuVdp8C4gHCDy4n9qfY668rIZVu2v379zdDhw6d7d4hRJzYdtttzeWXX24GDRpkndU0eqqUgOrg/kqjHJzjNEukwR7O2ai5KqMCY5CrqUrGCTCOOTEzW9TkeHq/z+8iovL5coy9i4ne8Y26795xko17Lc/R2aIiYm+2aJuGRUW/FyipF8x45mf9Uz+E1IceesiWx6JUFuVyRDhIRBWxxjWPavU2lprpRNR41qUphdqME7WxDCdqjzo5UYUQ4YJL9IEHHjDbbbedDSB23XXXsgVUB4EIwgtumhdffNH+v6tU4iAhaKE2KnU3P/nkE9tF/E9/+pNt4MHP0gqfe2cOHERUQIBOYtp9uSCwfPXVV7b2KcEx5zgO3EqD4wnxm0APAbVU4aczIZXrhwZuBI7HHXec7/svRNhQkgKhlMaLCKmIIZUSULPrpDIGv/XWW3YcReDtamFMtMH9zwmX+UAIRaRzomp2xgWPjIXUZUWgZbx04iob90QnmGpR0X847pz/XAcbb7xxReZrnQmpo0ePti7222+/3Wy22Wah71eakYgqYo1bEe3QWCrjRK1JYTp/Y3Nj0X87rV1ElRNVCBE+OFGpZ0haLvd0gsdyBVQHk0xcjDgxcHDk6goeNtRIIxAl5Q9n6tNPP23T6f785z+ntomHKA6CakpE4MYEHGKIHVEInidNmmQFVMp04GQr17mWLaTisCVYpAPxmWee6dt+C1FpjjnmGOsq32KLLayQ6pr9VEpAdZDmTdkBl0nBYqBzW4ry4b7N55vvM0ZEpTwAZRW0oBhuPW/mo4iWzNEqOcZmC6kTJkwwO++8s7nlllvM9ttvX7H9SiuarYtY44TStDeWqmsXUUtI5880llJNVCFEpdhyyy3NfffdZ4YMGWKOPvpoc8IJJ5QtoHqhVifiJeIOQSnCaqW76PL+KDlAfVDEMNKxqbPFvlZ630R0cecLbk9KQtDlOyrnC3UAqf3rd8DphNR7773XOk9J3z/33HMjIRoL4SeMfQhmLBRceOGF9lyvpIDq4B7DIiTZHLhjf/zxRzuOpjmLQiSXadOm2fR9HhEuaYgaBZyQesUVV5jzzjvP3HTTTWbHHXes9G6lEomoItbUVNXMVhO1JYWNpWrLEFFnpfPLiSqEqBxbb721ueeee+zKOo0sEFT9xDXtQEjF1UZqcBSCU9Kv6YaMsxCnz7hx46wIFRVnoYgGOJcRT+kMHDXnMo4d9o0u1XTzdl2s/YRmWSeeeKLZfffdrbika0MklVNPPdWmcZ988sl2nML5GRVwmJPSzGLJs88+a8dqdQIXSYGxjHHsww8/tK5fxrOoOX+p83/++eeb66+/3s6XRWWIxuxLCD/T+TNOVNd0Kg3Uu8ZSElGFEDFmm222sY7UnXbayaY1uhqpfqcl4jCgvhsT5Eo34AEEIURTglFqXFLHlTSyFVZYIRBBSsQHOj5TA/T777+3pSgoBREl9xeuOerF4dhhMQDHt9+wuEAN1L333tsGjxJQRdI57bTT7CIJ5z0lX6LUMIaGiNQzx3lO80bGLblSRdxhDKOJ2uTJk+3iRRTnXo888ojZZZddrANVAmplkYgqYo1rHtXaOnM2ETUq6W1hpvM3lFATdUZTWzq/GksJIaLiSKVG6uDBg61As9dee/n6/ASmCFHUuXrppZds8EdKdBSEGcYtmk0tvvji1nmHOEU912WWWcY6gKKwjyIc6AJMiYdvvvnGng+k9yJeRAlcsZyjpBgioAbh2GFBgfd+4IEHmrPPPlvXgEgNOFEZrzj/n3zySbvoFxW4Dhk3yaRAeJIrVSTBfcpiNgJq1Nyn8OCDD9pMjFtvvdXOj0VlkYgqElETtSVHTdQ0NZZyImpTc3PRfzs9UxNVTlQhRJRqpD700EO2WD6NaqiT6ncASP1R6lxR3+3nn3+2TXCiMnEmcCZlm/qoiKmkTpJ5gRORwDUq+ymCaRiFeEr6PuIpqbNR64bNfrKPOES5jhD5gxA3aaAxcOBAe/2ffvrpElBF6jj++OOtw9M1YKTpVJRgYWedddaxGRS4UhdZZBFbOzUKpXKE6IqpU6fa+RXuUxbXWayOIjfeeKM58sgjzR133GG22267Su+OkIgq4o6rezrTm87fkubGUo2lp/PXSkQVQkQH3DdjxoyxzlRSmYNI4yVdC5GK4I+uw0yi/WxoVS4Ez4hUCKrffvutFa5I7UZIRVANInVahA+Oa5wwCObUQqTeKa6zKKbHNjY22nIYOGVp9jT//PMHlrZIOY+LLrrIHHrooYG8hhBxAPGEmt6IJzfccIPvZW7KhXGZBT/G0/fee8+O29T1JqtCCx8iiqAVUDLpiy++sIuVUXWfsmDJ3Jc64I8++qidr4poIBFVxBpX9zTtjaXqMjVRG8qoidpd6fxCiIjBxBY3Gs5UhFQK6fs90e3evbsVg0jvp2A/dUgRKKMU/JHmz0SfDWcuYupzzz1nOyUTvJJCmaYSNkmA4Ai3KeIpKfvU5uXcw8kV1c/yl19+sen7LDQQzAUl8lLv7YgjjjC33HKLOg8LYYxN4+V+T8PFH3/80Rx11FEmarhaqYzV77//vr23keER1EKLEKXgzk/mkkEuBJYLC6pkYdAngEX+KDWYExJRRcypqWo7hVtnzl4T1dVLTQN11W3HoakEEVU1UYUQUWbZZZc1r7zyitlqq62sE+fee+81c8wxRyDp/QSpiESk91PfLYpOQCb8bNOnT29vQoX7B3cqgqrfx0b47zqlIQsCA6mECOM0O4uSAzqX4Itrh4WGIBcZeJ1//vOf5oILLpDrRogsWEx85plnzIABA6wQdN5550Vqsc/Boh61UnH5MXZzj8OZqhR/UUkYb5kvsRgYdad0Q0ODbaRIuSmuIcZcES0koopYQ4242Z2oKayJWtsW6DeW4URVTVQhRFTBnffiiy+aQYMG2dpwo0ePtumNfsNzItyQrhz1Rhm4fhB+EZl/+uknM2HCBLvPCKwEB+y3GyNFZUEcxEGMcEpZBpqFkbK/2GKL2fq3UWbKlCn2eiCoC1LsxXVzzDHH2EUSuW6EyA1lPsjO6NevX3t2RhTvIYw9jE8IqAhXLsWfhb6oOu1FMmlubraCvkvdp1RUlAV96rPSD4CSOVzrLEiI6KG7mIg11d3aTuHWHI2l0hQ81mdqojaUUxNVIqoQIgtqMZFST2Mb6p3hBP3000/bf44wRNotwRKiHm5I6rcx+fPCan/2dvfdd3f4nTPPPLPdlYfjLRvSnZ944gnbPZXfwYUZBEyuSUkk4KNWKk4A6kBGFY4lnw3BNU1H+D8Nfx5//HHz+uuvW+Fuxoy2+7wIN3BD5KBzNZ21+SwQO+hiz4aYEEXxwyv8jhs3zjz//PPt6ftBCahcX6QrP/bYY9Z105mAykIKjaa4B3De063Yy7Bhw0zfvn2tG5umcSy4cNy9OPeRd8P96gVhis9n9dVXn+3vRfqI0jjozc5gfEJsmTZtmokqXIuMp3/961/t/YSFvokTJ9r7ixBBwsIcdcZxb//www82dZ+F8SgLqOwnYy0LDVwrnQmoGgsrT3Rnb0IUURO1NVdN1G7pEVFrq9tE1Kbm5pLT+bvXRndQEUJUBhxhhx12mA0gEYVOPfVU64D56KOP7OQMVx3bxRdfbNN8EewOOeQQ+71//etfHZ5r1KhRNiXf4RVkWG0nffehhx6yE7XDDz/cPPXUUznrl+JUI2BFNHzggQfMuuuuG2ijDEQw6o8i7ETVleo9PjShols6bgZEPD4Tus9yvNl/NsSAqKaxxRnEaoIgjjvuYII1jvcaa6xhXc5xcWB53adcX0G4vh3Ud9xhhx3sa3Ef4JrLl47JdbjffvvZv8klLl111VXW5Uu5i+HDh9v7FQ4kbzB61llnmQMPPLD9a64HB4szNPFA3ELs2Xfffe39TqSXqI2DgHiCkIKgu8EGG1gRZYklljBRhfsg1zbXF/UouSY5VnLZCb9BoOfaYzGZeQ51eclmivqch7km2VZcz9QFz1dOSmNh5ZGIKmKNax7Vmiudvzp9jaUaS3CiTmt0NVHlRBVCdATnp5ebb77ZBkI4YHDTrbTSSubf//53+8/79Oljzj33XLPHHnvYYNPrtHMiXi5+/fVXGxQy2eXveJ3OIMtgxIgRNgBjdZ3/77PPPiYIcBWts846djLJe2YivvLKK0eyi6sXggVSxtmYTHvFPdxNTtxji5O4F8Vg7Y8//rDHlQ3nGa6P3r17Wydz3MRq3g9Nywg+WUTgPQTpliVo3Hbbba3r7sYbb7TXWz769+9vt87YbbfdOnx96aWX2uelZjApnA4+l87uRXye3Ku4F/E7BKAi3URxHHTPhciK2IrAe//991u3XVRhnMH9htOW+8wbb7xh75eM5VGuCS3iA4tyCH0syuHEZGEhDvMb7h/MY0855RS7dTVv0FhYeaJ/VgmRB1f3tMWTFtLc0iaixuGm6Rf1mYC+QTVRhRAB4tIT83Uz5XcQ77LFF5w8NG7CQcoquzedj4YZCH09e/a0Lh3SJ/PBBJPA8eGHHzbHHnus3Qg6g8C5UjfddFM7MSfF6rvvvotVOiIOVd4DaZVMvBGCW1parAhA2j/NtOgQH+WyBVFKESRQIxh5+umnzUsvvWTPeRo/cB7jIkG45hqIk4BKwDR27FgrbrBwwDkSpIBKx2GO1aGHHmruuOOOLgXUYuFcvu6662wZkOzyAKQssnhAiuJFF13U4d6BIEbQyN+tuOKK5pxzzvF1v0T8ico4CLjVrr32WnP66afbci44XaMOx4R7JPvLdcZ9580335yt/IEQhcA1RDNQnNzMZag1zgJ7HOrvMp8g9R6X5+23325d7n7PGzQWBoOcqCLWVGe60nudqK0z09dYqj2dv6Wp5HT+HkrnF0J0Mdk7+uijzd/+9jc7ucoFE9mzzz7bHHTQQR2+T8oQIiTBIc6Zv//97zZlmLpxgLMTtw/iFCvf+dKYvLCijpsFN9uHH35o045wtgTpSqWzOg469hOhac455zRxAievc6ESfPz222/WpUqaF/VfCfx5b0yceeTrNNUY98LxIW2OY8RGkI9bjPOV40dAgiAS5+PT1NRk6ztSOw4hGPdOkOIp9xHqPpJeiHjKtesnNJ3bZZddbJ1InOMI3XxGDu451GdEAKOuJK4fFkVw6jhw7JDGyP3Kb3FXxJsojoOILoizOMeHDBliF3gQRKJccxl4f4gzpBx//vnndkGKa5WSNEGWEBHJGZ/JAOHc4Tpi/GJxIuqZQg72ee+997alcxCAmU/6icbCYIn23VWILqjOrDAxqcl2oqZJRK3LNJZqbG6yg0qhq1j8rpyoQohCIEijyy6ukc6cbAMGDLCpeayse8El42DFG2GKIM8Fj4589RA7g/qfr732mk1fQuTEnUqDjyDg3krTEAQ0Up5pukPqJkFf1APWzt4PojMb4hnpWjRJQTB0NcVwJiCkOlE1qcIq4yFBjRNL3SPzCycsk4aKcBI3l2ln75c6Z1zTLARstNFG9n0FCcd3r732sjV6X331VSug+M0mm2xiFzkQsmiKsdNOO9n6ku7egmvdgcsGIefggw+2rj9vwxGJOCJO4yAg0HoXFe+5557AFhX9BHGGaxF3Kk54xnPGG8ZVjkXc77XCXxiTGbsQT3FZMgfEdRoX8RQmTJhg658iYHLNesVNv9BYGCzxm/EL4cEJpa3GUxM140qtSpGIWl87a7UaIdX7dT4amhvbU4kkogohOoPUeVa1aWSBkJQNTYxIP6S+Es2euprMklaOU4f0eD86pSL+0IzjtNNOs8995513mq233toEBZNNXIhM3HH94E7FRYC4GueAj2CWVDg2YHzAxeBERVwKTljls3aiKgFvrtTVKAdh2Q5THnm/vBc2aqnxmfI+o54SWCwIPZy3iJqIwnzeQZ+3iCM0wSFYJGgMKjCj0Q9BNRuLKggxuGlw2eSC+wXnM0FtUIsvIhlEfRwEFvVYoKAeK648xkUE3biUnWFfuWZxxuPQ43tcy9SKTdp9WBQH92nmWmTNAOcJ43TcFnRpVLfjjjtaUfOyyy4LTPzVWBgs8ZjtCtFlY6mZ7WIgdd7S1liqNlPWwKX0Fyqizsg0lYLudUrnF0J0hPvqEUccYQNCXJekS+USZKjlRhCIC5SgpytYHcch41fgCEykWUFH+Np5552tY4gANUh3AgIidR1pPOVS/BGlvB1O4wzCGhNxNoLY9gyG6dPbBUiE1U8++cQ6QhBR+fy9G59x9tdBfSaM/wgS1BV0W66v2QjInbs2yYJpvtR9gqYw3DvUP6UDMC7USy65JFTHEII5n3dncN3ymZfq/hPJJ07jILCg9eCDD5ozzjjDXuNXXnmlTRuOywIf9wdcqQjCX375pV24w1lLUyo2v4+XiDYseCLscS6w0EvZijiK6sxPmKOykTKP6zNMNBb6i0RUEWu8QmlLa5t42tzaVhS5ulu8bq7lUF8zSzSluVShFfpcKj+OXq8QK4QQgBCJqxM3CwIT9acA8YnJLIFjv379rFuRovh8zQYLLrigFTYfeeQRW3OTlXACS+oynXfeeeb4448PZJ9J6ydVEiEVx9Bdd91lHaNB4RpPUXMKMZEgG1GOlfwk1pDi/VIfi80rrCKiOpESkdWJl5QH8IqZTOQ5L7zCKl/zvGxM4t3/3eIox5Xv87d8j43/u6DACaSIhJAt3PI5OLHCK+bGLQgrJ3hDOP3ss8/stRtG6j7wmZAyyDVIE50ddtihrOfDOetcSMB7IvAjJRJnKx3RSWXmWiSFccSIETbtkzqRgEOPdEbSHLmf8fUxxxxjXXtxSHsWlSGO4yD3NhrBsMi355572oaII0eOjFUNb44b9VIRrTnm7h7GuIOYynUfF2FYFAdjPLWB+cx/+uknm+WDs5r7fBw/c85fxhmEYEqBMEctB42FlUeqiYg1NVWzTuHmjIjakqmPGjd7f7mTJYRQjkFjU+HdlVUPVQiRj6uvvto+brzxxh2+TwfgffbZxzYiYiIGpAx5YVJHoIOrhAkcEzQmxvweq/A404ICpwL7xWsyWUXAIZU4SEjxp64UQR/OmTFjxtjgjxSqQhuExBWCGkTJrhxCfP4IndkuUUQ+J4w6kZTvucwSUswY0xnrnMjqHkkPzxZH4xhkBQHHk/RHRGiOy5prrmlFnTCOD45X0hURmUjL5V5QLnReJuhzuJpuuOyuueYa+z5vueUWGzQSSP7f//2fbVbjaq9yDGg+R61Kzj2uT+4R3tpwQiRlHATcsYgriCNrrLGGrZO62mqrmTjB/QoxiI2SCbgSOd7c7zm2lFZI+hibFliAJbMHsZHxiwVqSifFeUGaBROuv80339y62f3IVNJYWHkkoopY43WROCeqe6zulh4RFWprak1zY4tpbGlz4hbC9KY2W79S+YUQuXBOwM4gqOzqd6gRxxY2TLqZTDLRZGJJsEuX0aBTAXH6MGGli/tHH31knnnmGSukIq6maXGvs2CYYJetECckgisiICUS4tQ0otJwTbr6tQSiBE5h1D113Hbbbbbz+KGHHmodMX59dl3db+6///68f08nYprWCJGWcRBwbiLkcC3+7W9/MxdffLE55JBDYrnYhABF6RUWSml+iKBKqn/v3r2tmMpj2sfZuME4z3jFWP/LL7/YhT7GfNyncc4WYfF36NCh5vLLLzdXXHGF2XfffX275jQWVh6JqCIRjaWguaWjEzVNNVFdSj/O0sbmwp2oriaqnKhCiKRCWj8OnF122cWst9561omT7RYKAlKiCFhJSUNMpbEOKf5LLrlkrAMDEV0IqnCeIJ6SWkxdQZxaYZ1v1K6j+Q6py1xnQTZ3E0IUDsIiNVI33HBDW/KG9H46dlMTOo5Qf5uxlI3U5m+++caOs7jeEY0pqRPX1O80wOIe5S343Eh1RxxHBEfci7Pr1IEgzHVGOSNc084BKpKDZvEi1niF0taZrR3EVNd0Ki3U1bQ5PRqb22rCFYLS+YUQaQDR9OWXX7YBJJN0gseunEN+QZF+alDirBg3bpx1BPGIS0EIP52npOu9+eab1o1F6iDu57AEVGqqcW2xWED6sARUIaIHDrZ3333XCo+k9SOmxh2yP/r27Ws222wzs+6661rBmPvgU089ZV2quBvDGu9F51Ceh0Vlzr8nnnjCvP/++7ZpJfMjzkvmaXEXUDnPqJ/MtcWiOeehBNRkIieqiDVVnuZRTjxtnelE1KrUpfMXK6JOcyJqrURUIUSyIY1/+PDhtkbcAQccYP71r39ZMRUnS9DghiGdGocMYhfNMdhc0wzVcxOlunloFvH555/bxl4EodSQC7P0ATXscLjRtIbURWqq4RITQkQT0qUfffRRW+uV5jN77bWXLXUTp6ZTnY2zNNZhY9GShkTcH9944w37cxaXSBHn/as8TDhQbxPHKW5TBFTmOnwOa6+9duIag/EeKWHDgj1zy3IbKYpoo1mOiDXcfF1DJddYyomp3lT/NFDfLqIWkc6vmqhCiJRBXboPPvjAHHfccba22iWXXGL233//UCbzvAZCKg0yCPAQv9hIue7Tp0/sXRgiPEcPzTfozss5hXhK+mrYtQCpqUatYbqU47hZYYUVQn19IURp4FA/7LDD7HjI+MdYSANGb7OauL8/xDo23IGkVSNyUerk7bfftg0JEVTJFOnZs2eixLxKwrGm+ZcTTqkNz/jAscaZSS30pB1r3jNNmihls8UWW9iyEpxfItlIRBWxh7R9BFTXUMqJqelL568rI51fIqoQIj1QB+7GG280O+64o+2O7FypCFFhQBBB8MZGcIeQSgMqaoLhTI1rnToRLDNmzLCNVNhwVtNcBVE+7Bq77Afu06uuuso+Hn/88XKfChFDWLwjpR8n+cCBA20TxgsuuCD2rtTs8Zb6qGykVlPKAIGPxlSklHfv3t3+DOGLTaJq8aIptbjZKJ3AIh/HkfnUmmuumejFYcRimrThPr322mvtnFKkA814ROxxYml7On+msVTaujPWZQKYUkTUnqqJKoRIIf3797euVFKQSf+79NJLzX777RdqAEVKG6ltf/zxhxk/frwZO3asdW4gplZCIBPRC1Jx81BrlFIQBKerr766FeArEejTJAP3KY1AVO9NiPjDGIOLjvGQ8W+VVVaxrlTqVCYRBGLc+2zUJuf+igCIu596nV5RlQaR/L7G4TYQSJmruGPmRFPmMRwvjimLwEk/Xl73KfXHqb1LmQiRHiSiisQ0l3K1UNudqJ56qWmgFCdqezp/rZyoQoh0woSfgNG5UpkY47Aj9SxMSHNbddVVrbuQzq6ffPKJFXip2UqdSxowiPTQ1NRkOxfjOp02bZo9D0i1rZRD7PfffzfDhg2zbhu5T4VIpiv1ueeeMyNGjDDbbLON7S5+3nnnJTo1mXsY4pcTwLyiKuMwTlU3PjNXYIGTRxaRki4UOsH0t99+sxtjAF9zzDgGaRJNvTAmH3XUUeaVV16R+zTFaPYjEtNcyjlRXVq/E1fTQl2mJmpDETVRZ6Xzy4kqhEg3dBPHTYBARGfVo48+2px22mmhi5c0XiCYpekUdVOZsI8ZM8YGeQhp1BZLW6ZFWnC1+wjeEVAJ1DkPaEpWKcGSfbrjjjusaIrrlHqCCP1CiOSBGHbEEUeYAQMGWKGIxUSEVJoxpmHcyRZVuf+R/u9ERCes8n2EVRa13MZcgce4LS7RlJD3OHXqVPvoNtL0nWDKtuyyy1oROa3lDihjc9FFF5l//vOfZpdddrG1T+U+TS/xusqFyEF1ZvWrdebMDiJqdVVNKkXUpubmgv9memObE1UiqhBCtLlSr7jiCpvSSNONvn37muHDh5vBgweHHjR466bSAZ1UQ9yp77zzjm1MRf1UJvBpDGaSBu4eRFM2nFCIpuuvv37Fa+O+9957Nl1x3Lhx5vLLLzc77bSTzjchUgCLN4888ojdEFNvuOEG61Bda621TJrgfsdiFpurme6EVe7bTnCkNiaPZBBQDgAxFbGR/7NRw9r7/7AEadykiH/eraGhwT460RQRlX1yIjDjDvMLBFPqmeqeb8yjjz5qrwOEc+rXr7vuupXeJVFh0qUyiUQ7UV0tVOdIdeJq2kTUxiKcqDMyIqrS+YUQYhY4UV966SVz2223mb///e82ZevKK6+0omolIJDBEYQTBEcMYtt//vMf+zOCHRfwKNiJDwjjEydOtJ8ljh+EcWoRIppXOjUSx9XQoUPteY8rjQASEUEIkS5oNkXNxwsvvNDWSN1jjz0Sn+JfjLDqBXEVQdKJkzwiWHI/9QqYLuOEDTG1trbWPuL69G6MA25MdzEutbH5Pq+FQMqiG5v3/27jtXjkObwiLhuCKYuwzkXLPojZoU49WUnMB88991xz0EEHpcKRLbpGIqqIPS7YaMnURG2Z2dqh4VTaaqI2FNNYqknp/EII0dnYQqfiQYMG2RR/mvngRCDFv1J1KQmGaHTBRmq1q9tGMyqEVhpRke6Pk0SCavQgqKYrNBsNORAicHwhoEYhiCVQJ3X/hBNOsI3WEOqVui9EumFsYVFlzz33tIISC3oIStQQl6A0CydWstFoKReIn84JiuCaLXw6MZRFNu7H/D7wfUCQdcecRzZE0WwBlu874RSxVvOB4uDzYeHgggsuMLvuuqv59NNPlbovOiARVSQvnT+tTtTqtsu5qRgRtb0mqpyoQgjRVYo/qc00UkBUJYCspPCFyOvS/Qm6SCdEnHv11VftzxBTe/fubSf+cavRlhQIgGlS4oRT3EkIp3w2f/3rX604ERVIUTz55JPtfnK+DxkyRIG3EKIdFnwefvhhM3r0aLugSHo/rlSaUOleURgcJ+cGLQbKBDz22GN2MTcKC25JBQ3h1ltvtYsGzJ2oR7/OOutUerdEBNGsWiQonT+rsVTanKi1bU7UxpJEVDlRhRCikBT/Bx980Jx66qnm0ksvNeecc46tE1np9GtEUuposuFeweWIqEqjLBwtBAMIdzymtSlEWOAuwiHM8Wfj80DMxr2F4B21AJhGUYinb731ln0kfZ9zRAghcoFousUWW9hyH/vvv78tM4Nj729/+1uld02Ikhc8WSBgbocL1TWPqvTcTkQXiagi9lRlOVGb2xtLVaeyJmpDETVRXWMp1UQVQoiuQXzcfvvtbZ24W265xXYsJ+WLCTdBZRTEScZE112YlH/qbSLmkfZPoyAcMLgh3SbBrHzRFNEa4ZRH0i0p94Bwuuaaa9q0zigGYp9//rktTYGrDOH03nvvtWUihBCiK0gVP/LII82+++5rLrnkErPVVluZTTbZxDpTKQUiRFxgcZwFxC+++KI9y4gSCELkQyKqSIwTtSVTdNsV305bnZ666toy0vnlRBVCiGKcnzhwdtttN5vSiGOBNDvE1P/7v/8zUQFRl26ybH/5y19s2v+kSZOs4Pfll1+ad955p4OoioiGABgFMTiqbhVcKjT3csKpE005fhzjXr16FZ2qGSbfffedOeuss8yoUaPMXnvtZT777DPrYBZCiGKhudKwYcNsA0bqpDL+kZ3BPWappZaq9O4J0Snvv/++OeWUU8yLL75o64Afc8wxFat3L+KHRFQRe6rbRdSWDk7UmtQ6UZuKdqJKRBVCiOKhpiVu1AMOOKC9e3G/fv3sxHyttdYyURR/XR1V8IqqEyZMMO+++64VUOeZZx5bC5aN/xMop01Y9QqmbIilPNIUJE6iqWPixIm2BMU111xj+vfvbwX0vn37Vnq3hBAJgDHl8ssvt42ncPNxb6GOOOLUn/70p0rvnhDtkJHDgvcDDzxgDjnkELugqKZRolgkoorY4xpIEfCwOTE1bY2l6ttrohaezj+jyYmoSucXQohSQWwkjZHGU6Q2brrpprYZAWIq/4+qAJktqpLJQfq/Ew3Hjx9v/vjjD/szxFQcrQiIc8wxh32kFEAUU9VLEUunTp1qGz+xcQx4/wimCMi8d4IsRFP+H6dGXaTtI/DfdtttZuuttzYvvPCCLTMghBB+s/TSS9t7zYknnmjOP/98K6bSpI50acrLCFEpxo4da8XTZ5991pah+OSTT+SWFiUTn1mgEJ3QzZPO3zqzLZUfqqvSdXrXunT+luaC/0bp/EII4R+LLrqoFVFpTnDVVVfZtMY+ffpYMXXQoEGRFxzZP0RCNgfCKsIiwirioisFgOiIAImQiqDqxFVcmdTLcx2IK/2e2UfEUDbEUrZp06Z1EE3pyMv7cOKwawSFaBwnwdQLTlNEjIceesiWm/jvf/9rll9++UrvlhAiBay88srmzjvvNOPGjTMXXXSRXbjZcsst7Vi49tprV3r3REpg/H/iiSfsWEimDWUnbrzxRjvGC1EO8ZwZCuHBOU4RUJtbWmb7furS+ZsaixZR1VhKCCH8gxTvoUOHmuOOO85cf/31tnHPP/7xD3PSSSfZOqpR69CeD0RQV1c1OzjJFiNpYOWESkRLoEGDV1jlvVOzHHEy18brOecu4ibghuVnvCaiLt+nFIF3837PK5jyf/6O13X7gWCKUIzo7cTfpNRRp0kGrmgcp5SZ+PTTT+W2EUJUBBYRKSHCeDh8+HCz+eab27qpiKn8P6pZGiLeMB/417/+ZZ2n3377rS0z8cgjj3RYIBaiHCSiithTlRmAbWDlcaKmrSZqfY1L528qIZ1fTlQhhPAbBDqaFeB+uP32223jjdNPP91+jcBFXc24QvCL+MjmygF4YUzOdoDyf0TOpqYmM3369NmEUDbXHNKV6IHXXnvNvp7bOhNgEUIRSRF8nRPWibdJEUlz0djYaAPGK6+80nz88ce2rMQtt9yS83MRQoiwWWSRRWxZEcRTmjHuuuuuZskll7QLjDjlqS8uRLmQMUONU84x5hPU5KU2r84v4TcSUUXsqcqIpThRnWsFkhww5aI2k3LY1FK4iOpcq66eqhBCCP9ByNt///3NPvvsY90QiF1nnnmmDR4RvNZYYw2TNHCUEriUE7wgtj722GO2WVec3LthgcMGl9d1111nhWPOJc6xbNewEEJEgfnmm8+cdtppdnGRhUXK3yB0sah46KGHyjUvSuKDDz6wJZSox7v66qubc845xwwePFjzBhEY6cp3FonEpe3jQm1unVUPtDplTtS6jBO1oUAnqnUJZZpQKZ1fCCGCh8W97bbbzowZM8a8/fbbVmDcaKONzFprrWXrdJEaL0RXY/dTTz1lA0S6Xv/nP/8xN998s22SceSRR0pAFUJEHjIYDj74YPP+++9bFz0N8Gjct80225jRo0d3MMUIkQuyWxDiN9hgA1sigkVXmkexsUAtAVUEiURUEXuqPI2l2BzVme+nhfpMTdTGAmuiOgEVusuJKoQQobLCCiuYkSNHmokTJ1r34OWXX25rdOImpAmQS2UXAjhPLrjgAis07LnnnrbxFfVOERy22mqrijfwEkKIYqE8y8Ybb2z+/e9/m//973+2AdUhhxxill56aXPWWWfZJoZCePnwww/N8ccfbxZbbLF2xynjIwvRuFCFCAPNuERiRNSZM1vt1v79lAUUtU5EbZnlxi2kHirIiSqEEJWBRgfUSKVzLF1kadCEs2LFFVe0DYImTJhQ6V0UFeL333+39d1owILr9JlnnrGNMr7++mt7biA0CCFEElh88cXNsGHD7JhHyZvXX3/dLhptuOGG5tprrzWTJk2q9C6KCoFIevHFF5vVVlvNCu2Usrn//vttDXCaRs0///yV3kWRMtKlMolkp/O3IqKa1NLuRPU4TAuph0rZg5pqlUcWQohKO3LWXXddm5pNl3saUL388stm2WWXtaKqgsh0QJOohx9+2Oy0005m4YUXtmLC1ltvbR1ZTz/9tBkyZIipq1P2iBAimdAkcNCgQebRRx8133zzjb3nsZhEcyrK4ZD+Tyq3SP4i4k033WQ222wzu4j45JNP2lq6zI/uvPNOWwqJeZMQlUAiqkiME5XGUjNNm4qaxpuqq4naWGBNVOdElQtVCCGiVy+O7sUuiNx55507BJH33XefdayKZEAX4RdffNE2VuEzprYpDizq5lLz9Nhjj7WlHoQQIk0stNBC5ogjjjCvvfaabR5EuvYpp5xievfubZs14s6nFqZIBtOmTTMPPvigXUTkM6ZZ1IABA9oXEffee2/V/RaRIBEiKrZ/bqSkNdGkoU+fPmbo0KF2Nd/Le++9Z90c3bt3N0sssYS58MILK7bPwn8nKs0WXA25biZ9Imp7On+BIur0xjYRtV71UIUQItJBJHVSvUEkLtVevXqZ/v37m6uvvtoKrSJeTJ482Tqq9tprL+s43WGHHewchgCS2oDnnnuurZsrhBDC2IUl4vvPPvvMNtdjsXGPPfYwCy64oNltt93MXXfdZX777bdK76Yoku+//97ccMMNZtttt7XzmuOOO85+1iwgahFRRJVEiKh0JEVAI9WNYsPDhw8311xzjTn11FPbf+ePP/4w/fr1M0sttZRd2b/ooots3ZXrrruuovsuyse5TtvS+dPrRK0vUkR1jaV6yIkqhBCxwAWRzHvoakytzLvvvtumuv31r3+18xqCDjWliiZfffWVGTFihG0EtcACC5gzzjjDOk8feughm6LI3JXF/rTVdBdCiEIhxlt77bXNFVdcYWtjIqj++c9/tvWiEVRJ/77sssvsYpSIHsxPMLaxUMjnSC1c0vbXW28989Zbb5kvvvhCi4gi8iSiECKTUTYHN1I6luLOoAgx3HHHHdaZykVKLSkaNrzzzjvm0ksvNQcddFDO521oaLCbV4gF0gZKTR1wf6fUA/9wrtOm5lmfS7cUHuOqzJoItU4Lee9Tpk21j3U1tbP9vs5T/9ExjeYx1ech4gq1UnFssP3yyy/m8ccfN4888oid15DuRh3NTTfd1NYNQ6gT4UPJhVdeecU899xztmkYTuL111/fOm5IU1xmmWUqvYtCCBFbWHBaa6217EandrJTR48ebetKn3jiiXacJGNjk002sfdepYJXhp9++sm88MILdiykTBFfY2475JBDbLo+GTdCxIlEiKidFSP2dmp79dVXbXc/bzH+Lbfc0lxwwQXm119/NfPNN99sz3H++eebM888c7bvs+LVs2fPsvaPuh7CHyb90tZo4/0PPjAt309tX+V67LHHTJqYOPlH+zhl2pSC3vtHP4+3j00zGjv9fZ2n/qNjGq1jSv0lIeIOKXCkNbKxYEx9TURVsm52331362DdeOON7SZRNXjR9Pnnn7fbm2++aV02HPcTTjjBBvO55ptCCCHKh6wMyt+wYX5i8Yo54lFHHWXGjx9vMzbcWChRNXjR1I2FH330kVl55ZXt/GPkyJF2gZfyikLElUSKqNjA6WbqXKiu3gY1U71QsNj9LNeklsLV1OFwcDOmliorJ6XedHE9cTPfYostTG1tW/q1KI/7vnrBvP/TF2b55fuaTVZaz5jnR5jq6mrrwkkT//vxK3PW2BtNt+qqgt57zftjjXnzbrNgrwVm+32dp/6jYxrNY+oyDIRICiwWk+bPBiwUjx071jpAqAWPqIo7xwWRa6yxhv1aKeTF891339kSUU44RTRdbLHFrOvp4IMPth2ECeqFEEKEC7E6DYrYgNrhTtjLFlVJJWcsZNErjSXhyoGSipROYCxkrsHxpbziSiutZI/tWWedZY1slLARIilEWkQ9+eSTrVM0Hx9//LHp27dv+9cTJ060qf1DhgwxBx54YFmvX19fb7dsCNbLFUH8eA7RRk115jSu6maqa6rbU/zTdnx7du/ZXhO1kPfe3NpiH7vX1nf6+zpP/UfHNFrHVJ+FSDosEg8cONBuTlR96aWXbKBDTbl3333XXgc0rCKIdBvCKguSoi27hdp7BInejTqmyy23nK3rRmkoiaZCCBFNEEhZRGSDr7/+ul1UPe2006ymQFaHdxxkw0AlYXWWYIpZzTsO/ve//zXTp0+3TtN1113XZvFKNBVJJ9IiKnW+9tlnn7y/Q/1TBxNcVv9ZTcpuGEXnUya7XtzX/EzEl6qqtoGttXVmqhtLUdu0mMZSM5ra6v12r1NjKSGESJOoSk1ONufoJtWOYIimVDQ+omY8AirC6qqrrmqFQkRVtiWXXDKx4ipziB9//NF2f3YbdUw5NqQnsmhPUI3L96STTjKrrbaamWuuuSq920IIIYoEcdSVwYGpU6fahkdOHKSuKmMjYyaO1VVWWaV9HGRDP0hqvIlYisjsHQtZcEUwnTFjhj0WjIW77babueSSS6zr1FsyUYikE2kRlQ57bIWAAxUBlQt61KhRs6WlsTLyj3/8wwYLznlEGiiBgepTxZuqbm3BXOvMFuP6ESdzSCtMRG2d2WqaW5pnOXQ7gQZU0L1GIqoQQqQV5kQIpWz77bef/V5zc7N15RBIElRSC55GSKTsMb+iIZI3mOzTp49ZdNFFba3VqIuKNAyljBML719++WWHIJGNmvo4lnhf1JKlfv6pp55qBdM55pij0rsvhBAiALi/oxeweevmO2EVQfXee++148RXX31l5pxzzg7jIBulAxkH2aJe85Ma3pSkYWNs533RmJtH3KZoJrwfNxYiNg8fPtw255ZgKtJOpEXUQkFApebGUkstZeug4hZwOJcpKyXYy/fff3/rHsBZcPnll9ubgYg31RnBvKW1FRtJ2zcTujKYj7qaWQNaQ3NTlyKqnKhCCCFyUVNTY1Pz2LwQVNH92AmOn3/+ubnrrrvMuHHjbCCGQEkgSgDpRFW3UYeeGnWIrASf2Y/FBmUtLS02CGSbPHnybI/MBV2AyIZoyuOkSZOsEMz8ECcSi+nLL7+8GTRokA0WEYgllgohhKCR9DrrrGM3L4irjHveBbhnnnnGLsyxSMf4NO+88842DvI1BrHOxkE2xt9iYFzOHv+8/yfzNnscZONnjLvslxNLyeYlC9gJwhJLhUiwiIqjlBUTNtwDXlx69zzzzGOdFIcddph1q1Kn44wzzrA1rES8qcoIpjgwZ2a8qElNryjEiQpNpPTX9yjIiVpfqwFSCCFEYa5VHClsAwYMmG2+9dtvv80WqLlaogRyuQRPN08jWCOApFQAG0InGwEiX5NeyEZwSgBLDTZvoJsdiDLPIzhEFN1ggw06CLsEsUktSSCEECJYGHNyLTQC49TPP/882zjI44svvmgX+LLHQsY0R48ePezze8dBtsbGRiuwurGQjBFKELB46cglzC600EJ27CMFn8wKr7A7//zzpzJmFqJcEiGismLSVe1U4OZBMwWRLKqrMun8ra2zaqKmMKG/pqraDoQcg0Lqok53TtRaOVGFEEKUB+MP5ZHYVlhhhYL+hvGK4NEbUCKSuiDRbdnCqlc0xTUqQVQIIUQUYIxCuGSjDEwhMO4hiHpFVe8YyM8ZY72iKuMe458TSxkXs8sZCiGCIREiqkg3bgWtdaa3sZRJ5XGor6mzafoNzW0u03zMaJxhH+VEFUIIUalxiyCQjXR/IYQQIm0giFLuhk0IEX20XCESVBPV21iqWzpTLTN1UG06fxc4obWHnKhCCCGEEEIIIYQQeZGIKhKTzt9CTdR2J2o6RdS6jKuUxlJdMaNR6fxCCCGEEEIIIYQQhSARVcQeJ5jObKWtVLpF1PpMc6nGIpyoSucXQgghhBBCCCGEyI9EVBF7qrs5J2pLqhtLQU0mnb+5pbnL350uJ6oQQgghhBBCCCFEQUhEFbGnqsrbWKrteyk1os6qiVqAiDrLiSoRVQghhBBCCCGEECIfElFF7Knq1nYat9rGUnKiFupEdTVRe9RJRBVCCCGEEEIIIYTIh0RUkZjGUm1O1HRbUYtyoja1iaj1NaqJKoQQQgghhBBCCJEPiagi9lRlBNOW1lbaS6W6sVRNVeEi6oyMiNpdTlQhhBBCCCGEEEKIvEhEFbGnuqrtNG5p9TaWSie11dWFp/M3ZWqiyokqhBBCCCGEEEIIkReJqCL2VGXS+RFQM8n8qXWiVruaqK0tBTtRVRNVCCGEEEIIIYQQIj8SUUWi0vlnOVHTKaIW50TN1EStlYgqhBBCCCGEEEIIkQ+JqCL2VHVrO41bZ3pE1JQ6UWuKaizVls7fXSKqEEIIIYQQQgghRF4koorY41ynJPO7hP70OlEz6fzFNJaSiCqEECJAXnzxRTNw4ECz6KKL2kXOBx98sMPPp0yZYg4//HCz+OKLmx49epgVVljBXHPNNR1+Z8aMGeawww4zvXr1MnPOOacZPHiw+eGHHzr8zsMPP2yWXXZZs9xyy5nRo0eH8t6EEEKIQtBYKEQykIgqYk+76XQmdVGzvpdSEbUrJ2pra6tpbG6y/6+vVWMpIYQQwTF16lSz6qqrmhEjRuT8+bHHHmueeOIJc/vtt5uPP/7YHH300TaQJBB0HHPMMeaRRx4x9913n3nhhRfMt99+a3bYYYf2nzc0NNjAcuTIkeaqq64yhx56qGlsbMu4EEIIISqNxkIhkkGb4iJEnOmWw4ma8nT+rpyoM5pnDaY95EQVQggRIP3797dbZ7zyyitm7733NhtvvLH9+qCDDjLXXnuteeONN8y2225rfv/9d3PjjTeaO++802y66ab2d0aNGmWWX35589prr5l11lnHBo7V1dVmtdVWsz+vqamx36ur00KhEEKIyqOxUIhkICeqSE5NVDWWMjVV1QU5URsyqfwgJ6oQQohKst5661mnzcSJE+04/txzz5nPPvvM9OvXz/787bffNk1NTWbzzTdv/5u+ffuaJZdc0rz66qv267nnntvsu+++ZpFFFrGpkrhv5pprroq9JyGEEKIYNBYKEQ/kRBWxZ1Y2/8x2EdWk3Yna2pL392Y0NrSLru5vhBBCiEpw5ZVXWscNdeBwzVRVVZnrr7/ebLjhhvbn33//vXXRzDvvvB3+rnfv3vZnjqFDh9r0R/5eQaMQQog4obFQiHgg9UTEHpe636afOidqOim0sVRDJp2/Xqn8QgghIhA4koqIA2eppZayzTeo6YaLxuu4KYR55pknsP0UQgghgkJjoRDxQCKqiD0udb/NiZr5XsqdqE0t+Z2o0zNO1O51ElGFEEJUjunTp5tTTz3VPPDAA2bAgAH2e6ussop55513zMUXX2wDx4UXXtg2xvjtt986OHDoSMzPhBBCiDijsVCI+KCaqCJBTlQ1lirWidq9RvVQhRBCVA7qu7GRduiFxhjUOoc11ljD1NbWmjFjxrT//NNPPzVfffWVWXfddUPfZyGEEMJPNBYKER/kRBWxx+mlVkRNe2Opdidqc0E1UeVEFUIIETRTpkwxX3zxRfvX48ePt+6a+eef3zbE2GijjcwJJ5xgevToYVMYX3jhBXPrrbeaSy+9tD0tcf/99zfHHnus/RsaZxxxxBE2aKQbsRBCCBF1NBYKkQwkoorY4xVM20XUlDpRaRRViBN1RlObiFovJ6oQQoiAeeutt8wmm2zS/jUBIOy9997m5ptvNnfffbc55ZRTzO67724mTZpkg8dzzz3XHHLIIe1/M3z4cOvQGTx4sGloaDBbbrmlGTlyZEXejxBCCFEsGguFSAYSUUX8yZXOb0yqnajNXdREbciIqHKiCiGECJqNN964fZEzF9RyGzVqVN7n6N69uxkxYoTdhBBCiLihsVCIZKCaqCL2qLFUjpqorfmdqNOdiForEVUIIYQQQgghhBCiKySiimTVRFVjqYJqojY0tTWWqq9VOr8QQgghhBBCCCFEV0hEFQlyonpqoqY0ob+muriaqD3kRBVCCCGEEEIIIYToEomoIvY416l1orY3ljKppHgnqkRUIYQQQgghhBBCiK6QiCqSJaLO+q5JI9VVxTlRVRNVCCGEEEIIIYQQomskoopENZZynaVUE7UrEVU1UYUQQgghhBBCCCEKRSKqiD1qLDWLmoyI2tzSkvf3ZjTOsI9yogohhBBCCCGEEEJ0jURUkRwnqrcmqkm3E7WrdP6G5jYnanc5UYUQQgghhBBCCCG6RCKqiD+uJir/Ut5YqqbQdP5G1UQVQgghhBBCCCGEKBSJqCL2VLU3lkJIbUNO1MKcqHU1cqIKIYQQQgghhBBCdIVEVBF7XP3TDun8KbWi1lRX28emLmqiNjQ12ce62tpQ9ksIIYQQQgghhBAizkhEFcmpiZr5l24RNeNEbc3vRG1qaRNR6+VEFUIIIYQQQgghhOgSiagimU5UY1Kezt9SYDq/nKhCCCGEEEIIIYQQXSERVcQeJ5gin2Y0VDlRu6iJ2tgsJ6oQQgghhBBCCCFEoUhEFclyonpaS6XZidrUhYjalBFRa2vafl8IIYQQQgghhBBCdI5EVBF7ZrlO1ViqUCdqQ0ZErZMTVQghhBBCCCGEEKJLJKKKBDDLidqW1D+r2VTaqKmqLsiJ2pipiVqvmqhCCCGEEEIIIYQQXSIRVcQeZzrt0FgqnRpqwU7Upua2n9dKRBVCCCGEEEIIIYToEomoIvY416kaSxVeE7VBTlQhhBBCCCGEEEKIgpGIKhLZWCq16fzOidrakvf3GlUTVQghhBBCCCGEEKJgJKKK2OME09aZralvLFVbYDq/q4laWy0nqhBCCCGEEEIIIURXSEQVyamJajfnRE0ntdWzGks5QTkXjZmaqPW1ElGFEEIIIYQQQgghukIiqog97a7TDo2l0imjVle1OVGhJU9Kv3OiKp1fCCGEEEIIIYQQomskoorkNJayIqpJtYjq0vnzNZdqbW1t/1mdGksJIYQQQgghhBBCdIlEVBF/XGOpzD/7rZQm9Ndk0vmhuSW3E9UrrkpEFUIIIYQQQgghhOgaiagi9lQ5EXVmmxvVIieqaW7N7URtbG5q/79EVCGEEEIIIYQQQoiukYgqkpPO38GJmk6qq7xO1NwiakOmHirUVUtEFUIIIYQQQgghhOgKiagi9rj6p9aFmvKaqLxv50Zt6iydP+NEramqNlVVugUIIYQQQgghhBBCdIUUFJEcEdXrRE2piOrE0XyNpVw6f11tXaj7JYQQQgghhBBCCBFXJKKK2OPkUm9N1LQ2loKajBO1q3T+etVDFUIIIYQQQgghhCgIiagiUen87SJqejVUTzp/F07UGjlRhRBCCCGEEEIIIQpBIqqIPbNcp97GUulVUbtyojoR1YmtQgghhBBCCCGEECI/ElFF/OngRHXfSq+I6sTR5taWvCJqvWqiCiGEEEIIIYQQQhSERFQRe2b5UNu8qGkXUbt2orbVRK1TTVQhhBBCCCGEEEKIgpCIKmKPE0xbZ7aqsZQVUau7qIna9v3aaomoQgghhBBCCCGEEIUgEVUksrFUijXUgp2o9XKiCiGEEEIIIYQQQhSERFQRe5zrFP00I6Gm2onqaqJ27kRtq4lap5qoQgghhBBCCCGEEAUhEVXEHlf+lHqo7en8aa6JWpXfidrgaqIqnV8IIYQQQgghhBCiICSiigQ5UdtaS6VdRK3N1ERtbmnJ+fMm50RVOr8QQgghhBBCCCFEQUhEFbFnlmDqcaKa9FLTRTp/Q7uIqnR+IYQQQgghhBBCiEKQiCoS5URVOj8ianVhjaVq5UQVQgghhBBCCCGEKASJqCL+ZATTWcn86W4s1ZUT1X2/VjVRhRBCCCGEEEIIIQpCIqqIPVVORJUT1VJb3UVjqaZMYynVRBVCCCGEEEIIIYQoCImoIvZ084qorrFUip2otV04URszNVHrVRNVCCGEEEIIIYQQoiAkoork1ET1NpZKr4bans7f3NKS8+eNLW0iam1N2+8JIYQQQgghhBBCiPxIRBWxxwmm6KdK5/ek87d24kRtahNR6+REFUIIIYQQQgghhCgIiagiWU5Uz3fTSnVVdX4nanNbTdR61UQVQgghhBBCCCGEKAiJqCL2tLtO1ViqoJqoDZmaqLUSUYUQQgghhBBCCCEKQiKqiD1OMG1VY6kONVE7E1GbMjVR5UQVQgghhBBCCCGEKAyJqCIxWBeqGkvNqonaiYiqmqhCCCGEEEIIIYQQxSERVSTGiWp9qJmiqGlO5+/KidqQqYlaJyeqEEIIIYQQQgghREFIRBXJaSyldP4OTtSW1pa86fwSUYUQQgghhBBCCCEKQyKqSJATNZPSLydqXidqY6axlERUIYQQQgghhBBCiMKQiCpij9NLOzpR00tNVXXemqgNqokqhBBCCCGEEEIIURQSUUVy0vltTVQ5UWu7cKIqnV8IIYQQQgghhBCiOCSiitjTLpjiRFVjKVNTnd+J2qjGUkIIIYQQQgghhBBFIRFVJKixVJsb1X03rXTlRG3I1EStVzq/EEIIIYQQQgghREFIRBWxp92IqnT+Do2lOnWittdElRNVCCGEEEIIIYQQohAkoorY061b22msxlIdnajNrS05f96YqYlaKxFVCCGEEEIIIYQQoiAkoorY41ynVkBVTVRTXVWdN53f1UStl4gqhBBCCCGEEEIIURASUUUia6KmWURtd6J2KqK6dH7VRBVCCCGEEEIIIYQoBImoIpk1UVOc0O9qoja1zJ7Oz/GZJaK2/Z4QQgghhBBCCCGEyI9EVBF7nGDa2trqaSxlUks+J6o3xV9OVCGEEEIIIYQQQojCkIgqYs+s1H1vY6n0qqiznKjNndZDhTrVRBVCCCGEEEIIIYQoCImoIlk1UdVYqt2J2tI6ezp/Y7PXiSoRVQghhBBCCCGEEKIQJKKKZNVEVWMpU1Nd3aUTtbqq2m5CCCGEEEIIIYQQomskoor4kxFMqYeqxlKz0vlz1URtaG8qJReqEEIIIYQQQgghRKFIRBXJSefnX3s+vzFpT+fP50StV1MpIYQQQgghhBBCiIKRiCpij0vdtzVR3fdSrKLmc6I2ZZyotTVtvyOEEEIIIYQQQgghukYiqog9Ti7tkM6f4pqo+Zyos9L55UQVQgghhBBCCCGEKBSJqCI5TlTrQ1VNVNcwqqWlJU86v2qiCiGEEEIIIYQQQqRKRJ0wYYLZf//9zdJLL2169Ohh+vTpY4YOHWoaGxs7/A5iW/b22muvVXTfRfm0C6YdnKgmtVRXtV3WLTNbZ/tZU3ObO7VWIqoQQgghhBBCCCFEwSSiMOInn3xiWltbzbXXXmuWWWYZ88EHH5gDDzzQTJ061Vx88cUdfveZZ54xK664YvvXvXr1qsAei2CcqG0p/d7vpZHqbhkRtXV2J2qDnKhCCCGEEEIIIYQQ6RRRt9pqK7s5/vznP5tPP/3UXH311bOJqIimCy+8cAX2UgSF00ttTVT3PaXzm5bW2Z2ojaqJKoQQQgghhBBCCJFOETUXv//+u5l//vln+/62225rZsyYYZZddllz4okn2q87o6GhwW7e54RJkyaZpqY2MapY+Ltp06aZX375xdTWyg3oB7//+odpbWw2LabJTJ08xf5/xtTp9hinkT9+bzseza2Nsx0Dzl1+xpbv+Og89R8d02ge08mTJ9tH52IXQgghhBBCCCFy0W1mAiPHL774wqyxxhrWhUpaP/z888/m1ltvNX/7299MVVWV+fe//20uvPBC8+CDD3YqpA4bNsyceeaZIe+9EEKIsPn666/N4osvXundEEIIIYQQQggRUSItop588snmggsuyPs7H3/8senbt2/71xMnTjQbbbSR2Xjjjc0NN9yQ92/32msvM378ePPSSy8V5ESl7ipOPkoClFpz848//jBLLLGEDdjnnnvukp5DdETH1H90TP1HxzSax5QhEDfqoosuahfYhBBCCCGEEEKI2KXzH3fccWafffbJ+zvUP3V8++23ZpNNNjHrrbeeue6667p8/rXXXts8/fTTnf68vr7ebl7mnXde4wcE/BJS/EXH1H90TP1HxzR6x3SeeebxdX+EEEIIIYQQQiSPSIuoCy64oN0KAQcqAipp/KNGjSrIUfTOO++YRRZZxIc9FUIIIYQQQgghhBBCJJVIi6iFgoBK+v5SSy1l66D+9NNP7T9beOGF7eMtt9xi6urqzOqrr26/vv/++81NN93UZcq/EEIIIYQQQgghhBAi3SRCRCUln2ZSbNmNQbwlX88++2zz5ZdfmpqaGltH9Z577jE77rhjqPtKeYChQ4fOViZAlI6Oqf/omPqPjqn/6JgKIYQQQgghhAiLSDeWEkIIIYQQQgghhBBCiEqjVsRCCCGEEEIIIYQQQgiRB4moQgghhBBCCCGEEEIIkQeJqEIIIYQQQgghhBBCCJEHiahCCCGEEEIIIYQQQgiRB4moIfGnP/3JdOvWbbbtsMMOq/SuxZaWlhZz+umnm6WXXtr06NHD9OnTx5x99tlGvdLKY/Lkyeboo482Sy21lD2u6623nnnzzTcrvVux4cUXXzQDBw40iy66qL3GH3zwwQ4/5/w844wzzCKLLGKP7+abb24+//zziu1vEo7p/fffb/r162d69eplf/7OO+9UbF+FEEIIIYQQQiQTiaghgQj13XfftW9PP/20/f6QIUMqvWux5YILLjBXX321ueqqq8zHH39sv77wwgvNlVdeWeldizUHHHCAPT9vu+028/7771txCqFv4sSJld61WDB16lSz6qqrmhEjRuT8OefoFVdcYa655hrz+uuvmznmmMNsueWWZsaMGaHva1KOKT9ff/317T1ACCGEEEIIIYQIgm4zZdurCDj9Ro8ebR1oOKdE8WyzzTamd+/e5sYbb2z/3uDBg6277/bbb6/ovsWV6dOnm7nmmss89NBDZsCAAe3fX2ONNUz//v3NOeecU9H9ixtc2w888IDZbrvt7NfcbnFTHnfcceb444+33/v999/teXzzzTebXXbZpcJ7HL9j6mXChAnWmf7f//7XrLbaahXZPyGEEEIIIYQQyURO1ArQ2NhoRb799ttPAmoZkGY+ZswY89lnn9mv3333XTN27Fgr9onSaG5utmUSunfv3uH7CNMcW1Ee48ePN99//7119jrmmWces/baa5tXX321ovsmhBBCCCGEEEKIzqnJ8zMRENTz++2338w+++xT6V2JNSeffLL5448/TN++fU11dbUV/84991yz++67V3rXYgsu1HXXXdfWll1++eWtQ/Kuu+6yAt8yyyxT6d2LPQiowHH1wtfuZ0IIIYQQQgghhIgecqJWANLPcUuS1itK59577zV33HGHufPOO81//vMfc8stt5iLL77YPorSoRYqaeeLLbaYqa+vt/U7d911V1NVpduFEEIIIYQQQggh0omcqCHz5ZdfmmeeecZ2kxblccIJJ1g3qqsjufLKK9vje/7555u999670rsXW/r06WNeeOEF26wHpy9d5HfeeWfz5z//udK7FnsWXnhh+/jDDz/Y4+rga9XwFEIIIYQQQgghoousZSEzatQos9BCC3Vo2iNKY9q0abO5I0nrb21trdg+JQm6xiP0/frrr+bJJ580gwYNqvQuxR6aHiGkUsvXgVD9+uuv2zIKQgghhBBCCCGEiCZyooYI4h4iKi7Jmhod+nIZOHCgrYG65JJLmhVXXNF25L700kttwy5ROgimpPMvt9xy5osvvrCOX+rO7rvvvpXetVgwZcoUe9y8zaTeeecdM//889tz9eijjzbnnHOO+ctf/mJF1dNPP92W9sjVbV4UdkwnTZpkvvrqK/Ptt9/an3/66af2EcHauX+FEEIIIYQQQohy6DYTtUSEwlNPPWW23HJLG+Avu+yyld6d2DN58mQrQD3wwAPmxx9/tEIUtTvPOOMMU1dXV+ndi3Wt2VNOOcV88803VqQaPHiwFavpIi+65vnnnzebbLLJbN9n8eTmm2+2AvXQoUPNddddZxvMrb/++mbkyJG6J5RxTNlyifwc52HDhoW0l0IIIYQQQgghkoxEVCGEEEIIIYQQQgghhMiDaqIKIYQQQgghhBBCCCFEHiSiCiGEEEIIIYQQQgghRB4kogohhBBCCCGEEEIIIUQeJKIKIYQQQgghhBBCCCFEHiSiCiGEEEIIIYQQQgghRB4kogohhBBCCCGEEEIIIUQeJKIKIYQQQgghhBBCCCFEHiSiCiGEEEIIIYQQQgghRB4kogohQqGxsdEss8wy5pVXXqnYPpx88snmiCOOqNjrCyGEEEIIIYQQIp5IRBWiBPbZZx/TrVu32bYvvvii0rsWWa655hqz9NJLm/XWW6/D95977jmzzTbbmAUXXNB0797d9OnTx+y8887mxRdfbP+d559/3h7f3377bbbn/dOf/mQuu+yygvbh+OOPN7fccov53//+58M7EkIIIYQQQgghRFqQiCpEiWy11Vbmu+++67AhEuZyYKadmTNnmquuusrsv//+Hb4/cuRIs9lmm5levXqZe+65x3z66afmgQcesELrMccc4/t+LLDAAmbLLbc0V199te/PLYQQQgghhBBCiOQiEVWIEqmvrzcLL7xwh626utpsvPHG5vDDDzdHH310u2gHH3zwgenfv7+Zc845Te/evc2ee+5pfv755/bnmzp1qtlrr73szxdZZBFzySWX2OfieRy4MR988MEO+zHvvPOam2++uf3rr7/+2uy00072+/PPP78ZNGiQmTBhQgcX7XbbbWcuvvhi+zoImIcddphpampq/52GhgZz0kknmSWWWMK+T9Lwb7zxRiuG8n/+1ss777yT14n79ttvm3HjxpkBAwa0f++rr76y740Nd+imm25qllpqKbPKKquYo446yrz11ltFfyYch1wO4WHDhrX/zsCBA83dd99d9HMLIYQQQgghhBAivUhEFSIAEAXr6urMyy+/bNPYSUNHJFx99dWtOPjEE0+YH374wYqdjhNOOMG88MIL5qGHHjJPPfWUTWH/z3/+U9TrIoQi2s4111zmpZdesq+PKItr1uuIJYUeUZNH9hXx0SvEIubedddd5oorrjAff/yxufbaa+3zIEjut99+ZtSoUR1el6833HBDK7Dmgn1Zdtll7X45/v3vf9v9PfHEE3P+Da9VLJQB8DqDeQ81NTXmb3/7W/vvrLXWWuabb77pICwLIYQQQgghhBBC5KMm70+FEJ0yevRoKyw6cJned9999v9/+ctfzIUXXtj+s3POOccKqOedd17792666Sbr9Pzss8/Moosuap2et99+u01vB8TNxRdfvKh9IiW+tbXV3HDDDe0iJAInrlRE2X79+tnvzTfffDa9Huds3759rUN0zJgx5sADD7T7c++995qnn37abL755vb3//znP3dwsp5xxhnmjTfesIIkQuidd945mzvVy5dffmnfoxdeZ+6557YOXq+wuvfee7d//eqrr5qVV165/etcx2PatGnt/+/Ro4fdAJEYhy3HfIsttmj/Hbcf7BP1VIUQQgghhBBCCCG6QiKqECWyySabdKitOcccc7T/f4011ujwu++++651fXpFVwdi3/Tp061TdO21127/Pqn4yy23XFH7xOuQUu91fMKMGTPs6zhWXHFFK6A6SOt///3321Pz+dlGG22U8zUQIRFdEYERUR955BGb/j9kyJBO94v3R9OortymuGh5/YkTJ9pSBi0tLbM5WrPfG7+Xze+//26bVbGfOHy9OJHVK74KIYQQQgghhBBC5EMiqhAlgmjaWfq6V1CFKVOm2FqcF1xwwWy/i4DZWS3RXKIjdUm9eGuZ8joIuHfcccdsf7vgggu2/7+2tna258XB6hUZ83HAAQfYmq7Dhw+3TlfS6Hv27Nnp71Mb1om0Dty6iJ3ff/99uxsVkZljSgp+LmjchavWS/bvIryyP7hcr7vuutmeY9KkSbMdDyGEEEIIIYQQQoh8qCaqECHw17/+1Xz44Yc2JCMFxwAAAzlJREFUfRyR0LshuPbp08cKm6+//nr73/z666825d0Lwh+1Ph2ff/55B0clr8P3FlpoodleZ5555iloX0mfR1ClPmtnbL311na/ceJS35U6qfmglMEnn3zSQQDecccd7XvOJSyXwzHHHGMFWxpw5XK/0uCL18WNK4QQQgghhBBCCFEIElGFCAFqc+KA3HXXXc2bb75pU+uffPJJs++++1rnJA7M/fff36aeP/vss1boo/ZoVVXHS5TmVNQy/e9//2sbVB1yyCEdXKW77767dX0OGjTIpr6PHz/e1kI98sgjbTOlQkDopS4pwihCpHsO6qQ6SPdn/0455RTrKF133XW7LH2ASxYh2bHkkkuaSy65xFx++eX29Sh3QLMnmmnR0Mq9TjHgih05cqRt5oW7FpcrG6/t4LhssMEGBTluhRBCCCGEEEIIIUAiqhAhQB3Rl19+2QqmNHfC7Xn00Ufb1HQnlF500UVW3CPtn4ZO66+//my1VREdaUbF7+22227m+OOP75BGz/9ffPFFK1DusMMOZvnll7fiLDVRSW8vFBymOEX//ve/28ZTNJyaOnVqh9/heanjihDcFb169TLbb7/9bGUGjjjiCPPUU0+Zn376yb4egiwuV4RbHK7eplKFgHuWY7ztttvaMglu8za9uvvuu+37EUIIIYQQQgghhCiUbjOzCywKISIDTZNWW201c9lll5mogaNzs802M19//bXp3bt3l7//3nvvmS222MK6cHM12AqDxx9/3Bx33HF2XzqruyqEEEIIIYQQQgiRjZyoQoiiaGhosKUBhg0bZoYMGVKQgAqrrLKKrX+Ky7RS4KYl5V8CqhBCCCGEEEIIIYpBSoIQoijuuusum8qPQ/bWW28t6m+po1pJKBkghBBCCCGEEEIIUSxK5xdCCCGEEEIIIYQQQog8KJ1fCCGEEEIIIYQQQggh8iARVQghhBBCCCGEEEIIIfIgEVUIIYQQQgghhBBCCCHyIBFVCCGEEEIIIYQQQggh8iARVQghhBBCCCGEEEIIIfIgEVUIIYQQQgghhBBCCCHyIBFVCCGEEEIIIYQQQggh8iARVQghhBBCCCGEEEIIIUzn/D9AsAsfQFosqwAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot the results of the optimization including the optimization trajectory and the resulting geometry of the\n", - "# central and surrounding patches compared to the initial state\n", - "plot_optimization_results(\n", - " figure_of_merit_multi_patch,\n", - " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", - " params_to_boxes_multi_patch(init_params),\n", - " params_to_boxes_multi_patch(patch_params),\n", - ")\n", - "\n", - "# Plot the evolution of the antenna S11 and realized gain during the course of the optimization\n", - "plot_antenna_evolution(s11_sq_dB_evolution_multi, s11_f_ghz_multi, realized_gain_evolution_multi, opt_freqs_multi_patch, theta_eval_evolution_multi)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can also compare the S11 and realized gain for the final optimization state with that of the initial state. On the S11 plot, we indicate the frequencies that were optimized for. We can see from the S11 spectrum and realized gain plots a significant improvement at both optimization frequencies." - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# compute S11 and realized gain for the inital multi patch geometry\n", - "s_matrix_init, sim_data_init, theta, realized_gain_init = evaluate_multi_antenna(\n", - " init_params, freqs_s_params, opt_freqs_multi_patch\n", - ")\n", - "# compute S11 and realized gain for the optimized multi patch geometry\n", - "s_matrix_final, sim_data_final, theta, realized_gain_final = evaluate_multi_antenna(\n", - " patch_params, freqs_s_params, opt_freqs_multi_patch\n", - ")\n", - "\n", - "# plot the comparison in S11 and gain for the initial and optimized antennas for phi=0\n", - "plot_phi = 0.0\n", - "plot_antenna_comparison(\n", - " [s_matrix_init, s_matrix_final],\n", - " [sim_data_init, sim_data_final],\n", - " [realized_gain_init, realized_gain_final],\n", - " opt_freqs_multi_patch,\n", - " theta,\n", - " plot_phi,\n", - " sim_names=[\"before optimization\", \"after optimization\"],\n", - " plot_title=f\"Antenna Comparison (plot_phi=0)\",\n", - ")\n", - "\n", - "# plot the comparison in S11 and gain for the initial and optimized antennas for phi=pi / 2\n", - "plot_phi = np.pi / 2.0\n", - "plot_antenna_comparison(\n", - " [s_matrix_init, s_matrix_final],\n", - " [realized_gain_init, sim_data_final],\n", - " [realized_gain_init, realized_gain_final],\n", - " opt_freqs_multi_patch,\n", - " theta,\n", - " plot_phi,\n", - " sim_names=[\"before optimization\", \"after optimization\"],\n", - " plot_title=f\"Antenna Comparison (plot_phi=\\u03a0 / 2)\",\n", - ")\n", - "\n", - "# Save results of optimization\n", - "np.save(\"misc/multi_patch_box_antenna_optimization.npy\", patch_params)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "description": "Patch antennas are widely used in wireless communication applications due to their simple design, ease of fabrication, and low profile. In this notebook, we will demonstrate how to use Tidy3D to simulate a rectangular patch antenna and compute key performance metrics. These include S-parameters using the TerminalComponentModeler, as well as directivity, axial ratio, and polarized far-field components using the DirectivityMonitor.", - "feature_image": "./img/PatchAntenna.png", - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "keywords": "patch antenna, directivity, axial ratio, S-parameters, Tidy3d, FDTD", - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.8" - }, - "title": "How to compute directivity and S-parameters of patch antenna using Tidy3D FDTD" - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/RFAutograd1RectangularPatchAntenna.ipynb b/RFAutograd1RectangularPatchAntenna.ipynb new file mode 100644 index 00000000..2995e5ae --- /dev/null +++ b/RFAutograd1RectangularPatchAntenna.ipynb @@ -0,0 +1,4391 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "# Adjoint Optimization of Rectangular Patch Antennas\n", + "\n", + "In the [Antenna Characteristics](https://www.flexcompute.com/tidy3d/examples/notebooks/AntennaCharacteristics/) notebook, we introduce the characterization of a rectangular patch antenna using the RF solver. If we were to design that patch antenna for a specific application, we would have two parameters to optimize: the patch width and height. By tuning these parameters, we could search for a structure that is resonant at a desired frequency and is impedance-matched to the antenna feed line. However, to overcome traditional limitations of patch antennas, many designers move beyond the two-parameter rectangular restriction and design antennas that have larger bandwidth or special characteristics, like circular polarization. For example, in the [Circularly Polarized Patch Antenna](https://www.flexcompute.com/tidy3d/examples/notebooks/CircularlyPolarizedPatchAntenna/) notebook, we reproduce a patch antenna simulation from the literature that achieves a low-profile design of circularly polarized radiation via a non-rectangular radiator surrounded by rectangular parasitic strips. As the antenna shape becomes more arbitrary and complex and as the number of supporting structures grows, a designer may want to use a method that directly optimizes across all of the parameters simulataneously. In tidy3d, we can do this via gradient-based optimizations powered by the adjoint method and made accessible through automatic differentiation (autograd). In this notebook, we first demonstrate the simplest patch antenna optimization where we find the optimal width and height of a patch based on the desired radiation frequency. In this optimization (and the second one as well), we fix the substrate material and thickness and focus our design efforts on the antenna shape. For the second example, we show how to optimize an antenna for dual-band operation by introducing an optimizable inset, fins, and passive radiating structures around the central patch. Here, the size of the optimization problem is increased and the optimizer simultaneously tunes the dimensions and positions of all of the structures. We show these two optimization geometries below. In both cases, we are optimizing the patch shape on top of a substrate and ground plane. The antennas are excited by an offset feed line and radiate into free space. In the middle, we show the simple patch geometry where the optimization parameters are just the patch width and height. On the right, we show the higher dimensional optimization where the geometric parameters and relative positions for multiple patches can be optimized simultaneously.\n", + "\n", + "
\n", + " \n", + " \n", + " \n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "# Tidy3d import and set logging level\n", + "import tidy3d as td\n", + "\n", + "td.config.logging_level = \"ERROR\"\n", + "\n", + "# External modules needed for this notebook\n", + "import numpy as np\n", + "import autograd.numpy as anp\n", + "from autograd import value_and_grad\n", + "import optax\n", + "import os\n", + "import pickle\n", + "\n", + "# Tidy3d plugin import\n", + "import tidy3d.plugins.smatrix as smatrix\n", + "from tidy3d.plugins.microwave import rf_material_library\n", + "from tidy3d.web import run\n", + "\n", + "# Libraries and configuration for printing and display\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches as patches\n", + "from rich.console import Console\n", + "from rich.text import Text\n", + "\n", + "# Setup console and printing parameters for rich printing during optimization loops\n", + "console = Console()\n", + "print_decimal_places = 2\n", + "num_optimization_prints = 10" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Configuration and Parameters\n", + "\n", + "In this first section, we set up a variety of parameters for the optimization problems, including the frequency bands and resonance targets as well as useful geometric parameters. Similar to other RF examples, we introduce a scaling factor to convert the default unit in Tidy3D of micrometers to millimeters (mm), which is more commonly used in antenna simulations. Thus, the default unit when looking at constants in this notebook is millimeters." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# length scales and geometric parameters for optimization\n", + "mm = 1e3 # mm scaling\n", + "\n", + "# feedline parameters\n", + "feed_x = 2.46 * mm # width of feed\n", + "feed_y = 20 * mm # length of feed\n", + "feed_offset = 2.09 * mm # feed offset from center of patch\n", + "\n", + "# substrate geometric parameters - broken into substrate sizes for the single patch optimization that comes\n", + "# first and the multi-patch optimization that comes second where we need a larger substrate to\n", + "# support the larger antenna geometry\n", + "single_patch_sub_width = 23.34 * mm\n", + "single_patch_sub_height_extension = 25 * mm\n", + "\n", + "sub_x_single_patch = [-0.5 * single_patch_sub_width, 0.5 * single_patch_sub_width]\n", + "sub_y_single_patch = [-feed_y, single_patch_sub_height_extension]\n", + "sub_z = 0.794 * mm\n", + "sub_z = 0.68 * mm\n", + "\n", + "multi_patch_sub_width = 3 * 23.34 * mm\n", + "multi_patch_sub_height_extension = 1.75 * 25 * mm\n", + "\n", + "sub_x_multi_patch = [-0.5 * multi_patch_sub_width, 0.5 * multi_patch_sub_width]\n", + "sub_y_multi_patch = [-feed_y, multi_patch_sub_height_extension]\n", + "\n", + "# frequency range\n", + "freq_start = 7e9\n", + "freq_stop = 11e9\n", + "freq_bounds = [freq_start, freq_stop]\n", + "# simulation frequencies to cover enough bandwidth for evaluating and optimizing antennas\n", + "opt_sim_freqs = [8e9, 10e9]\n", + "\n", + "freq0 = (freq_start + freq_stop) / 2 # central frequency\n", + "wavelength0 = td.C_0 / freq0 # wavelength of centeral frequency in vacuum\n", + "\n", + "freqs = np.linspace(freq_start, freq_stop, 200)\n", + "\n", + "# frequencies for computing S-parameters of antennas\n", + "freqs_s_params = freqs\n", + "\n", + "# frequencies for optimizing different\n", + "opt_freqs_single_patch = [8.25e9] # single patch target frequency\n", + "num_opt_freqs_multi_patch = 2\n", + "# optimize multi patch geometry for dual resonance\n", + "opt_freqs_multi_patch = np.linspace(8e9, 9e9, num_opt_freqs_multi_patch)\n", + "\n", + "# materials for optimization\n", + "air = td.Medium() # set up the antennas so they radiate into air\n", + "# choose common PCB material, ArlonAD255C, from the RF material library to use as substrate\n", + "sub_medium = rf_material_library['AD255C']['design']\n", + "PEC = td.PEC2D # thickness-free PEC medium for antenna patches, feed lines, and the ground plane" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Create Simulation Objects\n", + "\n", + "To prepare for the optimization, we need to make a base simulation that we can add the antenna geometry and excitation source to. This base simulation includes the ground plane and substrate, the two structures below the patch antenna. In this simulation, we also set up a `MeshOverrideStructure` to cover the region of the simulation with PEC. We use a very fine mesh here to improve accuracy of both the simulation and PEC gradients. As in other RF examples, the source will be added later via a `LumpedPort`." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def create_base_sim(sub_x_bounds, sub_y_bounds):\n", + " \"\"\"\n", + " Creates the base simulation for evaluating and optimizing patch antennas. The base simulation includes the\n", + " substrate geometry, and ground plane. It also overrides a vertical slice of the simulation where the feed and\n", + " patch will be placed with a fine mesh override to ensure accurate simulation and gradients near the PEC boundaries.\n", + " \"\"\"\n", + " substrate_box = td.Box.from_bounds(\n", + " [sub_x_bounds[0], sub_y_bounds[0], -sub_z / 2.0],\n", + " [sub_x_bounds[1], sub_y_bounds[1], sub_z / 2.0],\n", + " )\n", + " # Define substrate structure\n", + " substrate = td.Structure(\n", + " geometry=substrate_box,\n", + " medium=sub_medium,\n", + " )\n", + "\n", + " # Define ground plane structure and assign the material by PEC\n", + " ground_plane = td.Structure(\n", + " geometry=substrate_box.updated_copy(\n", + " center=list(substrate_box.center[0:2]) + [-sub_z / 2.0],\n", + " size=list(substrate_box.size[0:2]) + [0],\n", + " ),\n", + " medium=PEC,\n", + " )\n", + "\n", + " # list of structures for the simulation arranged first by dielectric and then PEC to\n", + " # ensure PEC takes precedence at interfaces.\n", + " structures_list = [substrate, ground_plane]\n", + "\n", + " # PML wavelength at 10 GHz\n", + " wl_pml = wavelength0\n", + "\n", + " # quarter wavelength (at 10 GHz) padding on each side\n", + " sim_x_size = sub_x_bounds[1] - sub_x_bounds[0] + wl_pml / 2.0\n", + " sim_y_size = sub_y_bounds[1] - sub_y_bounds[0] + wl_pml / 2.0\n", + " sim_y_center = np.mean(sub_y_bounds)\n", + "\n", + " sim_z_max = sub_z + 1.5 * wavelength0\n", + " sim_z_min = sub_z - 0.5 * wavelength0\n", + " sim_z_center = 0.5 * (sim_z_max + sim_z_min)\n", + " sim_z_size = sim_z_max - sim_z_min\n", + "\n", + " # set a fine mesh based on the center wavelength\n", + " dl = wavelength0 / 200.0\n", + " mesh_override_vertical_padding = 1 * mm\n", + "\n", + " mesh_overrides = [\n", + " td.MeshOverrideStructure(\n", + " geometry=td.Box(\n", + " center=(0, sim_y_center, 0.0),\n", + " size=(sim_x_size, sim_y_size, sub_z + mesh_override_vertical_padding),\n", + " ),\n", + " dl=[dl, dl, dl],\n", + " )\n", + " ]\n", + "\n", + " # Truncate the computational domain by PMLs\n", + " boundary_spec = td.BoundarySpec(\n", + " x=td.Boundary.pml(),\n", + " y=td.Boundary.pml(),\n", + " z=td.Boundary.pml(),\n", + " )\n", + "\n", + " # Create the simulation object\n", + " base_sim = td.Simulation(\n", + " center=[0.0, sim_y_center, sim_z_center],\n", + " size=[sim_x_size, sim_y_size, sim_z_size],\n", + " grid_spec=td.GridSpec.auto(\n", + " min_steps_per_wvl=20, # largest cell size is set to 20 cells per smallest wavelength.\n", + " wavelength=td.C_0 / freq_stop, # smallest wavelength to resolve\n", + " override_structures=mesh_overrides, # override the mesh around the antenna and feed for accuracy\n", + " ),\n", + " structures=structures_list,\n", + " sources=[], # sources will be added by TerminalComponentModeler\n", + " monitors=[],\n", + " run_time=70 * (substrate.geometry.size[1] / td.C_0),\n", + " boundary_spec=boundary_spec,\n", + " plot_length_units=\"mm\", # this option will make plots default to units of millimeters.\n", + " )\n", + "\n", + " return base_sim" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In addition to the base simulation creation, we set up a function to add a feed line and PEC patches to a simulation object. Later, this will allow us to create an antenna with an arbitrary list of patches and insert it into our base simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def create_simulation_with_patches(base_sim, patch_boxes, monitors):\n", + " \"\"\"\n", + " Creates a new simulation from the base simulation that includes PEC patches for all of the Box\n", + " objects in patch_boxes as well as adds a feed line.\n", + " \"\"\"\n", + " patches = []\n", + " for patch_box in patch_boxes:\n", + " patches.append(td.Structure(geometry=patch_box, medium=PEC))\n", + "\n", + " feed_geometry = td.Box.from_bounds(\n", + " [feed_offset - 0.5 * feed_x, -feed_y, sub_z / 2], [feed_offset + 0.5 * feed_x, 0, sub_z / 2]\n", + " )\n", + "\n", + " feed = td.Structure(geometry=feed_geometry, medium=PEC)\n", + "\n", + " return base_sim.updated_copy(\n", + " structures=list(base_sim.structures) + [feed] + patches,\n", + " monitors=list(base_sim.monitors) + monitors,\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we set up a function to create a `LumpedPort` and `TerminalComponentModeler` that will create the input excitation to the antenna. We can specify an impedance for the port as well as the desired frequencies for the resulting simulation. The `TerminalComponentModeler` will set up the simulations we need to evaluate and optimize the antenna." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def create_modeler(simulation, frequencies, radiation_monitors=(), port_impedance=50):\n", + " \"\"\"\n", + " Creates the LumpedPort and TerminalComponentModeler based on a `simulation`, the desired\n", + " simulation `frequencies`, `radiation_monitors` for computing directivity, and a `port_impedance`.\n", + " \"\"\"\n", + " # Setup a LumpedPort for the TerminalComponentModeler, which is needed\n", + " # to end the port with a matched load as well as providing a source for the simulation.\n", + " port = smatrix.LumpedPort(\n", + " center=[feed_offset, -feed_y, 0],\n", + " size=[feed_x, 0, sub_z],\n", + " voltage_axis=2,\n", + " name=\"lumped_port\",\n", + " impedance=port_impedance,\n", + " )\n", + "\n", + " # We integrate the base simulation with the LumpedPort using the TerminalComponentModeler.\n", + " # This allows us to compute scattering parameters and extract any additional data needed from the simulation.\n", + " modeler = smatrix.TerminalComponentModeler(\n", + " simulation=simulation,\n", + " ports=[port],\n", + " freqs=frequencies,\n", + " remove_dc_component=False, # include DC component for more accuracy at low frequencies\n", + " radiation_monitors=radiation_monitors,\n", + " )\n", + "\n", + " return modeler" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Plotting and Evaluation Functions\n", + "\n", + "Here, we set up some helper functions to aid in plotting antenna geometry and evaluating antenna characteristics before and after optimizations. First, we set up a function to plot the antenna structure and feed line along with the surrounding mesh. Near PEC edges, especially when computing gradients, we recommend using a fine mesh. In this function, we can also observe the location where the input source is fed into the antenna to confirm it is at the end of the feed line." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_structures_and_mesh(patch_boxes, sub_x_bounds, sub_y_bounds):\n", + " \"\"\"Plots the antenna structure and surrounding mesh to ensure it looks as expected before running simulations.\"\"\"\n", + " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", + "\n", + " no_additional_monitors = []\n", + " sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n", + " mesh_modeler = create_modeler(sim_with_patches, freqs)\n", + "\n", + " sim_temp = list(mesh_modeler.sim_dict.values())[0]\n", + "\n", + " sim_x_bounds = [\n", + " sim_temp.center[0] - 0.5 * sim_temp.size[0],\n", + " sim_temp.center[0] + 0.5 * sim_temp.size[0],\n", + " ]\n", + "\n", + " sim_y_bounds = [\n", + " sim_temp.center[1] - 0.5 * sim_temp.size[1],\n", + " sim_temp.center[1] + 0.5 * sim_temp.size[1],\n", + " ]\n", + "\n", + " fig, ax = plt.subplots()\n", + "\n", + " # examine the structure and mesh in the x-y plane\n", + " sim_temp.plot(\n", + " z=sub_z / 2,\n", + " ax=ax,\n", + " hlim=sim_x_bounds,\n", + " vlim=sim_y_bounds,\n", + " monitor_alpha=0.2,\n", + " )\n", + " sim_temp.plot_grid(z=sub_z / 2, ax=ax, hlim=sim_x_bounds, vlim=sim_y_bounds)\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Second, we set up a function that can calculate S11 and realized antenna gain for each polarization. S11 is the voltage reflection coefficient and $|S11|^2$ is the power reflection coefficient or in other words, the reflected power divided by the input power. A good antenna will have a small S11 at its operating frequencies. S11 is plotted in dB and thus at resonance, we will see a large, negative value corresponding to low reflection. Before and after an optimization, this is one way to evaluate how well the optimization tuned the geometry for the correct frequencies. In the realized gain plot, we can see how efficiently energy is radiating from the antenna and in what direction when compared to an isotropic radiator. For simplicity and to keep plots less crowded, we collect the realized gain for the optimization frequencies while we compute S11 value over a broad spectrum." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def evaluate_antenna(patch_boxes, eval_s_params_freqs, opt_freqs, sub_x_bounds, sub_y_bounds):\n", + " \"\"\"\n", + " Evaluate the S11 parameter and realized gain in both polarizations for the given antenna geometry.\n", + " The S11 is calculated across a broad spectrum while the realized gain is only computed for the opt_freqs.\n", + " \"\"\"\n", + " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", + " no_additional_monitors = []\n", + " sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n", + "\n", + " theta = np.linspace(-np.pi, np.pi, 200)\n", + " phi = np.linspace(0, np.pi, 100)\n", + "\n", + " directivity_center_x = np.mean(sub_x_bounds)\n", + " directivity_center_y = np.mean(sub_y_bounds)\n", + " directivity_size_x = 5 * mm + sub_x_bounds[1] - sub_x_bounds[0]\n", + " directivity_size_y = 5 * mm + sub_y_bounds[1] - sub_y_bounds[0]\n", + "\n", + " monitor_directivity = td.DirectivityMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0],\n", + " size=(\n", + " directivity_size_x,\n", + " directivity_size_y,\n", + " 4 * mm,\n", + " ),\n", + " freqs=opt_freqs,\n", + " name=\"directivity\",\n", + " phi=list(phi),\n", + " theta=list(theta),\n", + " far_field_approx=True,\n", + " )\n", + "\n", + " sim_with_directivity = sim_with_patches\n", + " # we only need whatever frequencies are unique in these two lists to have all the data we need for computing\n", + " # S11 and gain\n", + " eval_freqs = np.unique(list(eval_s_params_freqs) + list(opt_freqs))\n", + "\n", + " modeler = create_modeler(\n", + " sim_with_directivity, eval_freqs, radiation_monitors=[monitor_directivity]\n", + " )\n", + " smatrix_data = run(modeler, task_name=\"smatrix\", verbose=False)\n", + "\n", + " antenna_parameters_freq = smatrix_data.get_antenna_metrics_data(\n", + " monitor_name=\"directivity\")\n", + " partial_realized_gain = antenna_parameters_freq.partial_realized_gain(pol_basis=\"linear\")\n", + "\n", + " return smatrix_data, theta, partial_realized_gain" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Given the optimization results, we can plot the comparison of two antenna simulations using the `plot_antenna_comparison` function below. We can easily compare the initial and final optimization states to see how well the resulting antenna is performing in our desired metrics." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_antenna_comparison(\n", + " s_matrix_list,\n", + " sim_data_list,\n", + " partial_realized_gain_list,\n", + " opt_freqs,\n", + " theta,\n", + " plot_phi,\n", + " plot_title=\"Antenna Simulation Comparison\",\n", + " sim_names=None,\n", + " single_color_gain_plots=False,\n", + " savefig_fname=None,\n", + "):\n", + " \"\"\"\n", + " Plots a comparison of two sets of simulation data.\n", + "\n", + " Args:\n", + " s_matrix_list: List of S-matrix objects [s_matrix_sim1, s_matrix_sim2].\n", + " sim_data_list: List of sim_data objects [sim_data_sim1, sim_data_sim2],\n", + " where each sim_data contains a \"radiation\" DirectivityMonitor output.\n", + " partial_realized_gain_list: List of realized gain in linear polarization for each simulation.\n", + " opt_freqs: List of optimization frequencies to plot for directivity.\n", + " theta: Numpy array of theta angles for polar plots.\n", + " plot_phi: The phi value to select in the realized gain data for plotting.\n", + " plot_title: Optional title to specify for plot (default is \"Antenna Simulation Comparison\").\n", + " sim_names: Optional list of names for simulations for clearer legends.\n", + " single_color_gain_plots: Optional choice to use a single color for all the frequencies\n", + " in the gain plot (True) or have each frequency a different\n", + " color (False). Default is False.\n", + " savefig_fname: An optional filename to save the resulting figure\n", + " \"\"\"\n", + "\n", + " num_simulations = len(s_matrix_list)\n", + " if num_simulations != 2 or len(sim_data_list) != 2:\n", + " print(\"Warning: This function is designed to compare exactly two simulations.\")\n", + "\n", + " alphas = [0.5, 1.0] # Alpha for sim1, sim2\n", + " if sim_names is None or len(sim_names) != num_simulations:\n", + " sim_names = [f\"Sim {i+1}\" for i in range(num_simulations)]\n", + "\n", + " grid_spec_cols = 3 # S11 and realized gain for each polarization side-by-side\n", + " fig_width = grid_spec_cols * 4.5\n", + " fig_height = 6.5\n", + "\n", + " num_rows = 1\n", + "\n", + " fig = plt.figure(figsize=(fig_width, fig_height), constrained_layout=True)\n", + " gs = fig.add_gridspec(num_rows, grid_spec_cols)\n", + " axs_list = []\n", + "\n", + " # plot the S11 parameter comparison for each simulation\n", + " ax_s11 = fig.add_subplot(gs[0, 0])\n", + " axs_list.append(ax_s11)\n", + " ax_s11.set_title(\"$S_{11}$ Coefficient\")\n", + " ax_s11.set_xlabel(\"Frequency (GHz)\")\n", + " ax_s11.set_ylabel(\"$|S_{11}|^2$ (dB)\")\n", + "\n", + " for sim_idx in range(num_simulations):\n", + " s_matrix = s_matrix_list[sim_idx]\n", + " current_alpha = alphas[sim_idx]\n", + " sim_label_name = sim_names[sim_idx]\n", + "\n", + " s11_freqs_ghz = s_matrix.data.coords[\"f\"] / 1e9\n", + " s11_data_selection = s_matrix.data.isel(port_out=0, port_in=0)\n", + "\n", + " s11_values_flat = s11_data_selection.values.flatten()\n", + " s11_values_db = 20 * np.log10(np.abs(s11_values_flat))\n", + " ax_s11.plot(\n", + " s11_freqs_ghz,\n", + " s11_values_db,\n", + " alpha=current_alpha,\n", + " label=f\"{sim_label_name})\",\n", + " )\n", + "\n", + " impedances_norm = (1 + s11_values_flat) / (1 - s11_values_flat)\n", + "\n", + " for opt_freq in opt_freqs:\n", + " ax_s11.axvline(x=opt_freq / 1e9, color=\"k\", linestyle=\"--\")\n", + "\n", + " ax_s11.set_ylim(-25, 2)\n", + " ax_s11.grid(True)\n", + " ax_s11.legend()\n", + "\n", + " # for each linear polarization component, plot the realized gain for each linear polarization\n", + " polarization_components = [\"Gtheta\", \"Gphi\"]\n", + "\n", + " for pol_idx, pol_component in enumerate(polarization_components):\n", + " ax_polar = fig.add_subplot(gs[0, 1 + pol_idx], projection=\"polar\")\n", + " axs_list.append(ax_polar)\n", + " ax_polar.set_title(f\"Realized Gain for {pol_component}\")\n", + "\n", + " ax_polar.set_theta_direction(-1)\n", + " ax_polar.set_theta_offset(np.pi / 2.0)\n", + " ax_polar.grid(True)\n", + " ax_polar.set_rlabel_position(22.5)\n", + "\n", + " overall_max_gain = -np.inf\n", + " color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", + "\n", + " for freq_idx, eval_freq in enumerate(opt_freqs):\n", + " base_color = color_cycle[freq_idx % len(color_cycle)]\n", + " if single_color_gain_plots:\n", + " base_color = color_cycle[0]\n", + " freq_label_for_legend = f\"{eval_freq/1e9:.2f} GHz\"\n", + "\n", + " # Plot data for each simulation for the current frequency\n", + " for sim_idx in range(num_simulations):\n", + " sim_data = sim_data_list[sim_idx]\n", + " current_alpha = alphas[sim_idx]\n", + "\n", + " if single_color_gain_plots:\n", + " base_color = color_cycle[sim_idx]\n", + "\n", + " realized_gain_data = partial_realized_gain_list[sim_idx][pol_component].sel(\n", + " f=eval_freq, phi=plot_phi, method=\"nearest\"\n", + " )\n", + "\n", + " gain_values_for_plot = realized_gain_data.squeeze().values\n", + "\n", + " current_max_val = np.max(gain_values_for_plot)\n", + " if current_max_val > overall_max_gain:\n", + " overall_max_gain = current_max_val\n", + "\n", + " # Label only the second simulation's line (alpha=1.0) for the legend entry of this frequency\n", + " label_to_use = f\"{freq_label_for_legend} ({sim_names[sim_idx]})\"\n", + " ax_polar.plot(\n", + " theta,\n", + " gain_values_for_plot,\n", + " color=base_color,\n", + " alpha=current_alpha,\n", + " label=label_to_use,\n", + " )\n", + "\n", + " ax_polar.set_rlim(0, overall_max_gain * 1.1 if overall_max_gain > 0 else 1.0)\n", + " ax_polar.legend(title=\"Frequency (GHz)\", loc=\"best\", fontsize=\"small\")\n", + "\n", + " fig.suptitle(plot_title, fontsize=16)\n", + "\n", + " if savefig_fname:\n", + " plt.savefig(savefig_fname)\n", + "\n", + " plt.show()\n", + "\n", + "\n", + "def plot_antenna_evolution(s11_sq_dB, s11_f, partial_realized_gain, gain_freqs, theta):\n", + " \"\"\"Plots the evolution of the antenna S11 and and realized gain throughout an optimization.\n", + " Args:\n", + " s11_sq_dB: List of |S11|^2 (in dB) at each point in optimization. The length should match the\n", + " length of `partial_realized_gain`\n", + " s11_f: Frequencies for each S11 array\n", + " partial_realized_gain: List of realized gain objects broken into linear polarization. The length\n", + " of this list should match the length of `s11_sq_dB`\n", + " gain_freqs: List of frequencies for each realized gain object.\n", + " theta: List of theta values for each realized gain object.\n", + " \"\"\"\n", + " num_lines = len(s11_sq_dB)\n", + "\n", + " alphas = np.linspace(0.25, 1.0, num_lines)\n", + "\n", + " fig_width = 13.5\n", + " fig_height = 6.5\n", + "\n", + " fig = plt.figure(figsize=(fig_width, fig_height), constrained_layout=True)\n", + " num_rows = 1\n", + " grid_spec_cols = 3\n", + " gs = fig.add_gridspec(num_rows, grid_spec_cols)\n", + " axs_list = []\n", + "\n", + " ax_s11 = fig.add_subplot(gs[0, 0])\n", + " axs_list.append(ax_s11)\n", + " ax_s11.set_title(\"$S_{11}$ Coefficient\")\n", + " ax_s11.set_xlabel(\"Frequency (GHz)\")\n", + " ax_s11.set_ylabel(\"$|S_{11}|^2$ (dB)\")\n", + "\n", + " color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", + "\n", + " for idx in range(0, num_lines):\n", + " ax_s11.plot(s11_f, s11_sq_dB[idx], color=color_cycle[0], linewidth=1.5, alpha=alphas[idx])\n", + "\n", + " ax_s11.set_ylim(-25, 2)\n", + " ax_s11.grid(True)\n", + "\n", + " def add_polar_sequence(grid_col, pol_component, title):\n", + " ax_polar = fig.add_subplot(gs[0, grid_col], projection=\"polar\")\n", + " axs_list.append(ax_polar)\n", + " ax_polar.set_title(f\"Realized Gain for {pol_component}\")\n", + " \n", + " ax_polar.set_theta_direction(-1)\n", + " ax_polar.set_theta_offset(np.pi / 2.0)\n", + " ax_polar.grid(True)\n", + " ax_polar.set_rlabel_position(22.5)\n", + "\n", + " for idx in range(0, num_lines):\n", + " partial_realized_gain_batch = partial_realized_gain[idx][pol_component]\n", + " partial_realized_gain_batch = np.reshape(partial_realized_gain_batch, (len(gain_freqs), len(theta)))\n", + " \n", + " for freq_idx in range(0, len(gain_freqs)):\n", + " gain_values_for_plot = partial_realized_gain_batch[freq_idx]\n", + " \n", + " ax_polar.plot(\n", + " theta,\n", + " gain_values_for_plot,\n", + " color=color_cycle[freq_idx],\n", + " alpha=alphas[idx]\n", + " )\n", + " \n", + " ax_polar.set_title(title)\n", + "\n", + " add_polar_sequence(1, \"Gtheta\", f\"Realized Gain\\n(Gtheta), phi=0\")\n", + " add_polar_sequence(2, \"Gphi\", f\"Realized Gain\\n(Gphi), phi=0\")\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We set up a function to plot the figure of merit trajectory of the optimziation and compare the initial and final antenna geometries. This is an indication of how well the optimization worked as well as a demonstration of the overall change that occurred over the course of the optimization. For the single patch antenna, these changes are small and show a tuning of the width and height, but we will see in the higher-dimensional optimization that the central and surrounding patches change significantly while optimizing for a dual band figure of merit." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_optimization_results(\n", + " figure_of_merit, feed_rect, init_rectangles, final_rectangles, savefig_fname=None\n", + "):\n", + " \"\"\"\n", + " Plots a main rectangle and two lists of other rectangles with specified styles.\n", + "\n", + " Args:\n", + " figure_of_merit: Figure of merit for each iteration during the optimization.\n", + " feed_rect: The rectangular corresponding to the feed line.\n", + " init_rectangles: A list of rectangles corresponding to the initial state\n", + " of the optimization.\n", + " final_rectangles: A list of rectangles corresponding to the final condition\n", + " of the optimization.\n", + " savefig_fname: Optional filename to save the resulting figure.\n", + "\n", + " \"\"\"\n", + " fig, ax = plt.subplots(1, 2)\n", + " ax[1].set_aspect(\"equal\", adjustable=\"box\")\n", + "\n", + " all_rects_params = [] # to store (x_bl, y_bl, width, height) for limit calculation\n", + "\n", + " # helper function to add a rectangle and collect its parameters\n", + " def add_rectangle_to_plot(\n", + " rect_obj, facecolor, alpha=1.0, edgecolor=\"black\", linestyle=\"solid\", legend=None\n", + " ):\n", + " \"\"\"\n", + " Adds a single rectangle to the plot and collects its parameters.\n", + "\n", + " Args:\n", + " rect_obj: The rectangle object with 'center' and 'size'.\n", + " facecolor: The face color of the rectangle.\n", + " alpha: Optional transparency of the rectangle.\n", + " edgecolor: Optional edge color of the rectangle.\n", + " linestyle: Optional line style of the rectangle's border.\n", + " legend: Optional legend entry to use for this rectangle.\n", + " \"\"\"\n", + " center_x, center_y, _ = rect_obj.center\n", + " width, height, _ = rect_obj.size\n", + "\n", + " center_x /= mm\n", + " center_y /= mm\n", + " width /= mm\n", + " height /= mm\n", + "\n", + " # Calculate bottom-left corner coordinates\n", + " bottom_left_x = center_x - width / 2\n", + " bottom_left_y = center_y - height / 2\n", + "\n", + " all_rects_params.append((bottom_left_x, bottom_left_y, width, height))\n", + "\n", + " rect_patch = patches.Rectangle(\n", + " (bottom_left_x, bottom_left_y),\n", + " width,\n", + " height,\n", + " facecolor=facecolor,\n", + " alpha=alpha,\n", + " edgecolor=edgecolor,\n", + " linestyle=linestyle,\n", + " linewidth=1, # Default linewidth for borders\n", + " label=legend,\n", + " )\n", + " ax[1].add_patch(rect_patch)\n", + "\n", + " add_rectangle_to_plot(feed_rect, facecolor=\"gold\", edgecolor=\"black\")\n", + "\n", + " legends_init_rect = [\n", + " \"initial\" if (idx == 0) else None for idx in range(0, len(init_rectangles))\n", + " ]\n", + " legends_final_rect = [\n", + " \"final\" if (idx == 0) else None for idx in range(0, len(final_rectangles))\n", + " ]\n", + "\n", + " # plot rectangles from the second list (gold)\n", + " for idx, rect_obj in enumerate(final_rectangles):\n", + " add_rectangle_to_plot(\n", + " rect_obj, facecolor=\"gold\", edgecolor=\"black\", legend=legends_final_rect[idx]\n", + " ) # Added black edge for consistency\n", + "\n", + " # plot rectangles from the first list (gray, 0.25 alpha, dotted black border)\n", + " for idx, rect_obj in enumerate(init_rectangles):\n", + " add_rectangle_to_plot(\n", + " rect_obj,\n", + " facecolor=\"gray\",\n", + " alpha=0.25,\n", + " edgecolor=\"black\",\n", + " linestyle=\"dotted\",\n", + " legend=legends_init_rect[idx],\n", + " )\n", + "\n", + " # calculate plot limits\n", + " if all_rects_params:\n", + " min_x = min(p[0] for p in all_rects_params)\n", + " min_y = min(p[1] for p in all_rects_params)\n", + " max_x = max(p[0] + p[2] for p in all_rects_params) # max x is bottom_left_x + width\n", + " max_y = max(p[1] + p[3] for p in all_rects_params) # max y is bottom_left_y + height\n", + "\n", + " # add some padding to the limits\n", + " padding_x = (max_x - min_x) * 0.1 if (max_x - min_x) > 0 else 1\n", + " padding_y = (max_y - min_y) * 0.1 if (max_y - min_y) > 0 else 1\n", + "\n", + " ax[1].set_xlim(min_x - padding_x, max_x + padding_x)\n", + " ax[1].set_ylim(min_y - padding_y, max_y + padding_y)\n", + " else:\n", + " # default limits if no rectangles are plotted\n", + " ax[1].set_xlim(-5, 5)\n", + " ax[1].set_ylim(-5, 5)\n", + "\n", + " ax[1].set_title(\"Antenna Geometry\")\n", + " ax[1].set_xlabel(\"X-coordinate (mm)\")\n", + " ax[1].set_ylabel(\"Y-coordinate (mm)\")\n", + " ax[1].grid(True, linestyle=\"--\", alpha=0.7)\n", + "\n", + " ax[1].legend(loc=\"lower left\", bbox_to_anchor=(1.0, 0.75))\n", + "\n", + " ax[0].plot(figure_of_merit, color=\"green\", linewidth=2)\n", + " ax[0].set_title(\"Optimization\")\n", + " ax[0].set_xlabel(\"Iteration\")\n", + " ax[0].set_ylabel(\"Figure of Merit\")\n", + "\n", + " if savefig_fname:\n", + " plt.savefig(savefig_fname)\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Demonstrating Gradient Based Optimization of a Single Patch Antenna\n", + "\n", + "In our first optimization, we use the adjoint gradients to tune the width and height of a single patch antenna element. This is a good way to validate the gradients and optimization figures of merit are working as expected before moving onto a more complex optimization. As a first step, we create an objective function that we can use for both optimizations. This function takes in parameters defining the antenna geometry as well as a function to convert those parameters to `Box` geometries that can be imported into the simulation. Further, it allows us to specify the optimization monitors we want to use, which may be different depending on the overall optimization space. After adding the source via the `TerminalComponentModeler`, the objective runs a simulation and we compute the S11 spectrum and flux into a band of angles above the antenna. S11 is a measure of how much energy is reflected and the radiated flux over a set of angles gives us a good figure of merit for directivity. We optimize the antenna to direct the radiated power at 0 degrees, directly outward from the antenna plane. The two figures are combined together into one by computing reflection efficiency as $1 - |S_{11}|^2$ and multiplying by the sum of the flux over a narrow band of angles around 0 degrees normalized by the initial flux in each of these angles.\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_poynting_and_s11(\n", + " patch_params,\n", + " patch_params_to_boxes,\n", + " sub_x_bounds,\n", + " sub_y_bounds,\n", + " optimization_monitors,\n", + " opt_freqs,\n", + "):\n", + " \"\"\"\n", + " Computes the Poynting flux for an antenna. The antenna parameters are specified in and\n", + " `patch_params` and a function `patch_params_to_boxes` convert these parameters into\n", + " simulation objects. These objects are inserted into a base simulation defined by\n", + " `sub_x_bounds` and `sub_y_bounds`. After setting up the antenna simulation including\n", + " the `optimization_monitors`, the far fields are computed\n", + " are,\n", + " the antenna simulation is run with the Poynting flux being computed with angular components\n", + " \n", + " \"\"\"\n", + " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", + "\n", + " directivity_monitors = [\n", + " monitor for monitor in optimization_monitors if isinstance(monitor, td.DirectivityMonitor)\n", + " ]\n", + " non_directivity_monitors = [\n", + " monitor\n", + " for monitor in optimization_monitors\n", + " if not isinstance(monitor, td.DirectivityMonitor)\n", + " ]\n", + "\n", + " # Add antenna patches to simulation\n", + " sim_with_patches = create_simulation_with_patches(\n", + " base_sim, patch_params_to_boxes(patch_params), non_directivity_monitors\n", + " )\n", + "\n", + " # Create the `TerminalComponentModeler` to add the source and get the simulation we can run\n", + " # to evaluate the antenna performance\n", + " modeler_freqs = sorted(list(set(list(opt_sim_freqs) + list(opt_freqs))))\n", + "\n", + " modeler = create_modeler(\n", + " sim_with_patches, modeler_freqs, radiation_monitors=directivity_monitors\n", + " )\n", + "\n", + " # Run the simulations for the antenna.\n", + " smatrix_data = run(modeler, task_name=\"smatrix\", verbose=False)\n", + "\n", + " radiation_monitors = [m for m in optimization_monitors if m.name == \"radiation\"]\n", + " far_field_monitor = [m for m in optimization_monitors if m.name == \"far_field\"][0]\n", + " # Set up a `FieldProjector` based on the 'radiation' monitor near the patch\n", + " projector = td.FieldProjector.from_near_field_monitors(\n", + " sim_data=smatrix_data.data[\"lumped_port\"],\n", + " near_monitors=radiation_monitors,\n", + " normal_dirs=[\"+\"], # we are projecting along the +z direction\n", + " )\n", + " # Project this near field into the subset of far field components\n", + " # specified by the 'far_field' monitor\n", + " radiation_data = projector.project_fields(far_field_monitor)\n", + " poynting_flux = np.abs(\n", + " np.real(\n", + " 0.5\n", + " * (\n", + " radiation_data.Etheta * np.conj(radiation_data.Hphi)\n", + " - radiation_data.Ephi * np.conj(radiation_data.Htheta)\n", + " )\n", + " )\n", + " )\n", + "\n", + " return poynting_flux, smatrix_data.smatrix()\n", + "\n", + "\n", + "def objective_fn(\n", + " patch_params,\n", + " patch_params_to_boxes,\n", + " sub_x_bounds,\n", + " sub_y_bounds,\n", + " optimization_monitors,\n", + " opt_freqs,\n", + " poynting_flux_initial,\n", + "):\n", + " \"\"\"\n", + " Objective function for an antenna optimization that computes a product of the reflection\n", + " efficiency and the increased flux in a set of optimization angles compared to the initial design.\n", + " \"\"\"\n", + "\n", + " def weights_from_merit(merit):\n", + " \"\"\"\n", + " Computes performance based weights that sum to a total weight of 1.\n", + " For a given frequency, the weights are inversely tied to the performance\n", + " so that figures of merit that are lagging get favored more than those that\n", + " are leading.\n", + " \"\"\"\n", + "\n", + " weights = (2.0 / len(merit)) - (merit**2 / anp.sum(merit**2))\n", + " clip_weights = anp.maximum(weights, 0.0)\n", + "\n", + " inv_weights = 1.0 / anp.sum(clip_weights)\n", + " renorm_weights = clip_weights * inv_weights\n", + "\n", + " return renorm_weights\n", + "\n", + " poynting_flux, smatrix = compute_poynting_and_s11(\n", + " patch_params,\n", + " patch_params_to_boxes,\n", + " sub_x_bounds,\n", + " sub_y_bounds,\n", + " optimization_monitors,\n", + " opt_freqs)\n", + "\n", + " fom_by_freq = []\n", + " for freq in opt_freqs:\n", + " directivity_metric = np.sum(poynting_flux.sel(f=freq).data) / np.sum(\n", + " poynting_flux_initial.sel(f=freq).data\n", + " )\n", + "\n", + " s11 = np.abs(smatrix.data.isel(port_out=0, port_in=0).sel(f=freq).data)\n", + " \n", + " fom = (1 - np.abs(s11) ** 2) * directivity_metric\n", + " fom_by_freq.append(fom)\n", + "\n", + " fom_by_freq = anp.array(fom_by_freq)\n", + "\n", + " if len(fom_by_freq) > 1:\n", + " weights = weights_from_merit(fom_by_freq) # dynamic optimization weights\n", + " return anp.sum(weights * fom_by_freq)\n", + " else:\n", + " return anp.sum(fom_by_freq)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We then create a helper function to convert the patch width and height parameters to the antenna geometry for a single patch. To check out setup, we plot what the resulting antenna will look like when inserted into a simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def params_to_boxes_single_patch(patch_params):\n", + " \"\"\"Convert single patch parameters into patch geometry.\"\"\"\n", + "\n", + " patch_wh = patch_params[0:2]\n", + "\n", + " main_patch = td.Box.from_bounds(\n", + " [-0.5 * patch_wh[0], 0.0, sub_z / 2.0], [0.5 * patch_wh[0], patch_wh[1], sub_z / 2.0]\n", + " )\n", + "\n", + " return [main_patch]\n", + "\n", + "\n", + "# set an initial width and height for the patch\n", + "patch_init_width = 12.45 * mm\n", + "patch_init_height = 16 * mm\n", + "patch_init_wh = anp.array([patch_init_width, patch_init_height])\n", + "\n", + "# set the min/max for the patch width and height to use to bound these parameters in the optimization\n", + "patch_min_width = 8 * mm\n", + "patch_min_height = 8 * mm\n", + "\n", + "patch_max_width = 18 * mm\n", + "patch_max_height = 24 * mm\n", + "\n", + "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", + "plot_structures_and_mesh(\n", + " params_to_boxes_single_patch(patch_init_wh), sub_x_single_patch, sub_y_single_patch\n", + ")\n", + "# Helper function for evaluating antenna performance for a single patch\n", + "evaluate_single_antenna = lambda patch_wh, eval_s_params_freqs, opt_freqs: (\n", + " evaluate_antenna(\n", + " params_to_boxes_single_patch(patch_wh),\n", + " eval_s_params_freqs,\n", + " opt_freqs,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " )\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we set up and run the optimization. We create the monitors to capture the far field radiation and solve for the initial flux into the target radiation angular components. Then, we configure the optimizer which we can also load from a saved checkpoint by toggling the `restart_optimization` flag if we get interrupted in the middle. Finally, we run the optimization and capture the figure of merit and other interesting quantities along the way." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
14:53:38 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m14:53:38 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
14:55:13 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m14:55:13 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 1\n",
+       "        Gradient (width, height): -0.00003814, -0.00001\n",
+       "        Updates (width, height): -29.99194527, -29.97\n",
+       "        Params (width, height): 12420.00781250, 15970.03\n",
+       "        Figure of merit:          0.10\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 1\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00003814, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.99194527, -29.97\u001b[0m\n", + " Params (width, height): \u001b[34m12420.00781250, 15970.03\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.10\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 2\n",
+       "        Gradient (width, height): -0.00002753, -0.00001\n",
+       "        Updates (width, height): -29.07702255, -30.10\n",
+       "        Params (width, height): 12390.93066406, 15939.93\n",
+       "        Figure of merit:          0.10\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 2\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00002753, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.07702255, -30.10\u001b[0m\n", + " Params (width, height): \u001b[34m12390.93066406, 15939.93\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.10\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 3\n",
+       "        Gradient (width, height): -0.00003017, -0.00002\n",
+       "        Updates (width, height): -29.18603897, -30.41\n",
+       "        Params (width, height): 12361.74414062, 15909.51\n",
+       "        Figure of merit:          0.11\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 3\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00003017, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.18603897, -30.41\u001b[0m\n", + " Params (width, height): \u001b[34m12361.74414062, 15909.51\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.11\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 4\n",
+       "        Gradient (width, height): -0.00003295, -0.00003\n",
+       "        Updates (width, height): -29.51652718, -30.12\n",
+       "        Params (width, height): 12332.22753906, 15879.39\n",
+       "        Figure of merit:          0.11\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 4\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00003295, -0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.51652718, -30.12\u001b[0m\n", + " Params (width, height): \u001b[34m12332.22753906, 15879.39\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.11\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 5\n",
+       "        Gradient (width, height): -0.00003478, -0.00002\n",
+       "        Updates (width, height): -29.85807800, -30.02\n",
+       "        Params (width, height): 12302.36914062, 15849.37\n",
+       "        Figure of merit:          0.12\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 5\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00003478, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-29.85807800, -30.02\u001b[0m\n", + " Params (width, height): \u001b[34m12302.36914062, 15849.37\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 6\n",
+       "        Gradient (width, height): -0.00003801, -0.00001\n",
+       "        Updates (width, height): -30.31882095, -29.13\n",
+       "        Params (width, height): 12272.05078125, 15820.24\n",
+       "        Figure of merit:          0.12\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 6\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00003801, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-30.31882095, -29.13\u001b[0m\n", + " Params (width, height): \u001b[34m12272.05078125, 15820.24\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 7\n",
+       "        Gradient (width, height): -0.00000721, -0.00001\n",
+       "        Updates (width, height): -26.11418533, -28.78\n",
+       "        Params (width, height): 12245.93652344, 15791.46\n",
+       "        Figure of merit:          0.13\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 7\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00000721, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-26.11418533, -28.78\u001b[0m\n", + " Params (width, height): \u001b[34m12245.93652344, 15791.46\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.13\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 8\n",
+       "        Gradient (width, height): -0.00002696, -0.00001\n",
+       "        Updates (width, height): -26.46311760, -26.63\n",
+       "        Params (width, height): 12219.47363281, 15764.84\n",
+       "        Figure of merit:          0.13\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 8\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00002696, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-26.46311760, -26.63\u001b[0m\n", + " Params (width, height): \u001b[34m12219.47363281, 15764.84\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.13\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 9\n",
+       "        Gradient (width, height): -0.00004401, -0.00003\n",
+       "        Updates (width, height): -28.62040329, -29.14\n",
+       "        Params (width, height): 12190.85351562, 15735.69\n",
+       "        Figure of merit:          0.14\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 9\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00004401, -0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-28.62040329, -29.14\u001b[0m\n", + " Params (width, height): \u001b[34m12190.85351562, 15735.69\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 10\n",
+       "        Gradient (width, height): -0.00005951, -0.00004\n",
+       "        Updates (width, height): -31.02917862, -31.80\n",
+       "        Params (width, height): 12159.82421875, 15703.90\n",
+       "        Figure of merit:          0.14\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 10\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00005951, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-31.02917862, -31.80\u001b[0m\n", + " Params (width, height): \u001b[34m12159.82421875, 15703.90\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:03:33 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:03:33 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 11\n",
+       "        Gradient (width, height): -0.00007552, -0.00002\n",
+       "        Updates (width, height): -33.18568420, -30.55\n",
+       "        Params (width, height): 12126.63867188, 15673.35\n",
+       "        Figure of merit:          0.14\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 11\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00007552, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-33.18568420, -30.55\u001b[0m\n", + " Params (width, height): \u001b[34m12126.63867188, 15673.35\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 12\n",
+       "        Gradient (width, height): -0.00008816, -0.00002\n",
+       "        Updates (width, height): -34.93735504, -29.72\n",
+       "        Params (width, height): 12091.70117188, 15643.63\n",
+       "        Figure of merit:          0.15\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 12\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00008816, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-34.93735504, -29.72\u001b[0m\n", + " Params (width, height): \u001b[34m12091.70117188, 15643.63\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.15\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 13\n",
+       "        Gradient (width, height): -0.00006964, -0.00002\n",
+       "        Updates (width, height): -35.33975220, -29.58\n",
+       "        Params (width, height): 12056.36132812, 15614.04\n",
+       "        Figure of merit:          0.17\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 13\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00006964, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-35.33975220, -29.58\u001b[0m\n", + " Params (width, height): \u001b[34m12056.36132812, 15614.04\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.17\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 14\n",
+       "        Gradient (width, height): -0.00007797, -0.00002\n",
+       "        Updates (width, height): -35.98293304, -30.27\n",
+       "        Params (width, height): 12020.37792969, 15583.78\n",
+       "        Figure of merit:          0.18\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 14\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00007797, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m-35.98293304, -30.27\u001b[0m\n", + " Params (width, height): \u001b[34m12020.37792969, 15583.78\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.18\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 15\n",
+       "        Gradient (width, height): -0.00008666, -0.00005\n",
+       "        Updates (width, height): -36.76580429, -33.98\n",
+       "        Params (width, height): 11983.61230469, 15549.80\n",
+       "        Figure of merit:          0.19\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 15\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00008666, -0.00005\u001b[0m\n", + " Updates (width, height): \u001b[35m-36.76580429, -33.98\u001b[0m\n", + " Params (width, height): \u001b[34m11983.61230469, 15549.80\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.19\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 16\n",
+       "        Gradient (width, height): -0.00009268, -0.00004\n",
+       "        Updates (width, height): -37.49803162, -34.86\n",
+       "        Params (width, height): 11946.11425781, 15514.94\n",
+       "        Figure of merit:          0.21\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 16\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00009268, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-37.49803162, -34.86\u001b[0m\n", + " Params (width, height): \u001b[34m11946.11425781, 15514.94\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.21\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 17\n",
+       "        Gradient (width, height): -0.00000591, -0.00003\n",
+       "        Updates (width, height): -31.38626480, -34.09\n",
+       "        Params (width, height): 11914.72753906, 15480.85\n",
+       "        Figure of merit:          0.22\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 17\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00000591, -0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-31.38626480, -34.09\u001b[0m\n", + " Params (width, height): \u001b[34m11914.72753906, 15480.85\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.22\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 18\n",
+       "        Gradient (width, height): -0.00006996, -0.00003\n",
+       "        Updates (width, height): -32.10239410, -33.89\n",
+       "        Params (width, height): 11882.62500000, 15446.96\n",
+       "        Figure of merit:          0.23\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 18\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00006996, -0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-32.10239410, -33.89\u001b[0m\n", + " Params (width, height): \u001b[34m11882.62500000, 15446.96\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.23\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 19\n",
+       "        Gradient (width, height): -0.00012461, -0.00004\n",
+       "        Updates (width, height): -35.48599625, -34.69\n",
+       "        Params (width, height): 11847.13867188, 15412.27\n",
+       "        Figure of merit:          0.24\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 19\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00012461, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-35.48599625, -34.69\u001b[0m\n", + " Params (width, height): \u001b[34m11847.13867188, 15412.27\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.24\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 20\n",
+       "        Gradient (width, height): -0.00017479, -0.00007\n",
+       "        Updates (width, height): -39.04999161, -38.63\n",
+       "        Params (width, height): 11808.08886719, 15373.64\n",
+       "        Figure of merit:          0.25\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 20\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00017479, -0.00007\u001b[0m\n", + " Updates (width, height): \u001b[35m-39.04999161, -38.63\u001b[0m\n", + " Params (width, height): \u001b[34m11808.08886719, 15373.64\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.25\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:42:57 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:42:57 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 21\n",
+       "        Gradient (width, height): -0.00022474, -0.00003\n",
+       "        Updates (width, height): -41.99432373, -37.49\n",
+       "        Params (width, height): 11766.09472656, 15336.16\n",
+       "        Figure of merit:          0.27\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 21\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00022474, -0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m-41.99432373, -37.49\u001b[0m\n", + " Params (width, height): \u001b[34m11766.09472656, 15336.16\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.27\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 22\n",
+       "        Gradient (width, height): -0.00019917, -0.00004\n",
+       "        Updates (width, height): -43.37149429, -36.94\n",
+       "        Params (width, height): 11722.72363281, 15299.21\n",
+       "        Figure of merit:          0.32\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 22\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00019917, -0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m-43.37149429, -36.94\u001b[0m\n", + " Params (width, height): \u001b[34m11722.72363281, 15299.21\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.32\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 23\n",
+       "        Gradient (width, height): -0.00023876, -0.00001\n",
+       "        Updates (width, height): -44.86957550, -32.04\n",
+       "        Params (width, height): 11677.85449219, 15267.17\n",
+       "        Figure of merit:          0.37\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 23\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00023876, -0.00001\u001b[0m\n", + " Updates (width, height): \u001b[35m-44.86957550, -32.04\u001b[0m\n", + " Params (width, height): \u001b[34m11677.85449219, 15267.17\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.37\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 24\n",
+       "        Gradient (width, height): -0.00028089, -0.00009\n",
+       "        Updates (width, height): -46.31551743, -37.97\n",
+       "        Params (width, height): 11631.53906250, 15229.21\n",
+       "        Figure of merit:          0.42\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 24\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00028089, -0.00009\u001b[0m\n", + " Updates (width, height): \u001b[35m-46.31551743, -37.97\u001b[0m\n", + " Params (width, height): \u001b[34m11631.53906250, 15229.21\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.42\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 25\n",
+       "        Gradient (width, height): -0.00032067, -0.00017\n",
+       "        Updates (width, height): -47.59044266, -43.07\n",
+       "        Params (width, height): 11583.94824219, 15186.13\n",
+       "        Figure of merit:          0.47\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 25\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00032067, -0.00017\u001b[0m\n", + " Updates (width, height): \u001b[35m-47.59044266, -43.07\u001b[0m\n", + " Params (width, height): \u001b[34m11583.94824219, 15186.13\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.47\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 26\n",
+       "        Gradient (width, height): -0.00022194, -0.00006\n",
+       "        Updates (width, height): -46.52508926, -41.42\n",
+       "        Params (width, height): 11537.42285156, 15144.71\n",
+       "        Figure of merit:          0.52\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 26\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00022194, -0.00006\u001b[0m\n", + " Updates (width, height): \u001b[35m-46.52508926, -41.42\u001b[0m\n", + " Params (width, height): \u001b[34m11537.42285156, 15144.71\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.52\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 27\n",
+       "        Gradient (width, height): -0.00048062, -0.00007\n",
+       "        Updates (width, height): -48.85026169, -40.79\n",
+       "        Params (width, height): 11488.57226562, 15103.93\n",
+       "        Figure of merit:          0.56\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 27\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00048062, -0.00007\u001b[0m\n", + " Updates (width, height): \u001b[35m-48.85026169, -40.79\u001b[0m\n", + " Params (width, height): \u001b[34m11488.57226562, 15103.93\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.56\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 28\n",
+       "        Gradient (width, height): -0.00069851, -0.00013\n",
+       "        Updates (width, height): -50.79639053, -43.85\n",
+       "        Params (width, height): 11437.77539062, 15060.08\n",
+       "        Figure of merit:          0.60\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 28\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00069851, -0.00013\u001b[0m\n", + " Updates (width, height): \u001b[35m-50.79639053, -43.85\u001b[0m\n", + " Params (width, height): \u001b[34m11437.77539062, 15060.08\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.60\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 29\n",
+       "        Gradient (width, height): -0.00067846, -0.00028\n",
+       "        Updates (width, height): -52.07724762, -47.99\n",
+       "        Params (width, height): 11385.69824219, 15012.09\n",
+       "        Figure of merit:          0.76\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 29\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00067846, -0.00028\u001b[0m\n", + " Updates (width, height): \u001b[35m-52.07724762, -47.99\u001b[0m\n", + " Params (width, height): \u001b[34m11385.69824219, 15012.09\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.76\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 30\n",
+       "        Gradient (width, height): -0.00098061, -0.00011\n",
+       "        Updates (width, height): -53.50070190, -46.18\n",
+       "        Params (width, height): 11332.19726562, 14965.91\n",
+       "        Figure of merit:          1.03\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 30\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00098061, -0.00011\u001b[0m\n", + " Updates (width, height): \u001b[35m-53.50070190, -46.18\u001b[0m\n", + " Params (width, height): \u001b[34m11332.19726562, 14965.91\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.03\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:50:25 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:50:25 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 31\n",
+       "        Gradient (width, height): -0.00123898, -0.00005\n",
+       "        Updates (width, height): -54.72206879, -40.91\n",
+       "        Params (width, height): 11277.47558594, 14925.00\n",
+       "        Figure of merit:          1.25\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 31\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00123898, -0.00005\u001b[0m\n", + " Updates (width, height): \u001b[35m-54.72206879, -40.91\u001b[0m\n", + " Params (width, height): \u001b[34m11277.47558594, 14925.00\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.25\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 32\n",
+       "        Gradient (width, height): -0.00022887, -0.00042\n",
+       "        Updates (width, height): -47.96701813, -47.35\n",
+       "        Params (width, height): 11229.50878906, 14877.65\n",
+       "        Figure of merit:          1.47\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 32\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00022887, -0.00042\u001b[0m\n", + " Updates (width, height): \u001b[35m-47.96701813, -47.35\u001b[0m\n", + " Params (width, height): \u001b[34m11229.50878906, 14877.65\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.47\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 33\n",
+       "        Gradient (width, height): -0.00157895, -0.00021\n",
+       "        Updates (width, height): -51.75487137, -47.55\n",
+       "        Params (width, height): 11177.75390625, 14830.10\n",
+       "        Figure of merit:          1.67\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 33\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00157895, -0.00021\u001b[0m\n", + " Updates (width, height): \u001b[35m-51.75487137, -47.55\u001b[0m\n", + " Params (width, height): \u001b[34m11177.75390625, 14830.10\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.67\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 34\n",
+       "        Gradient (width, height): -0.00282321, -0.00019\n",
+       "        Updates (width, height): -53.98826981, -47.18\n",
+       "        Params (width, height): 11123.76562500, 14782.92\n",
+       "        Figure of merit:          1.87\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 34\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00282321, -0.00019\u001b[0m\n", + " Updates (width, height): \u001b[35m-53.98826981, -47.18\u001b[0m\n", + " Params (width, height): \u001b[34m11123.76562500, 14782.92\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.87\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 35\n",
+       "        Gradient (width, height): -0.00385026, -0.00031\n",
+       "        Updates (width, height): -55.86885834, -49.75\n",
+       "        Params (width, height): 11067.89648438, 14733.17\n",
+       "        Figure of merit:          2.05\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 35\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00385026, -0.00031\u001b[0m\n", + " Updates (width, height): \u001b[35m-55.86885834, -49.75\u001b[0m\n", + " Params (width, height): \u001b[34m11067.89648438, 14733.17\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.05\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 36\n",
+       "        Gradient (width, height): -0.00465618, -0.00128\n",
+       "        Updates (width, height): -57.65287781, -50.94\n",
+       "        Params (width, height): 11010.24316406, 14682.22\n",
+       "        Figure of merit:          3.63\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 36\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00465618, -0.00128\u001b[0m\n", + " Updates (width, height): \u001b[35m-57.65287781, -50.94\u001b[0m\n", + " Params (width, height): \u001b[34m11010.24316406, 14682.22\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.63\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 37\n",
+       "        Gradient (width, height): -0.00662191, -0.00036\n",
+       "        Updates (width, height): -58.89441681, -48.74\n",
+       "        Params (width, height): 10951.34863281, 14633.48\n",
+       "        Figure of merit:          5.09\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 37\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00662191, -0.00036\u001b[0m\n", + " Updates (width, height): \u001b[35m-58.89441681, -48.74\u001b[0m\n", + " Params (width, height): \u001b[34m10951.34863281, 14633.48\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m5.09\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 38\n",
+       "        Gradient (width, height): -0.00028820, -0.00021\n",
+       "        Updates (width, height): -48.82100296, -44.16\n",
+       "        Params (width, height): 10902.52734375, 14589.32\n",
+       "        Figure of merit:          6.34\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 38\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00028820, -0.00021\u001b[0m\n", + " Updates (width, height): \u001b[35m-48.82100296, -44.16\u001b[0m\n", + " Params (width, height): \u001b[34m10902.52734375, 14589.32\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m6.34\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 39\n",
+       "        Gradient (width, height): -0.00794936, -0.00190\n",
+       "        Updates (width, height): -54.13338852, -51.36\n",
+       "        Params (width, height): 10848.39355469, 14537.95\n",
+       "        Figure of merit:          7.34\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 39\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00794936, -0.00190\u001b[0m\n", + " Updates (width, height): \u001b[35m-54.13338852, -51.36\u001b[0m\n", + " Params (width, height): \u001b[34m10848.39355469, 14537.95\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.34\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 40\n",
+       "        Gradient (width, height): -0.01504511, -0.00027\n",
+       "        Updates (width, height): -56.96683121, -45.44\n",
+       "        Params (width, height): 10791.42675781, 14492.51\n",
+       "        Figure of merit:          8.61\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 40\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.01504511, -0.00027\u001b[0m\n", + " Updates (width, height): \u001b[35m-56.96683121, -45.44\u001b[0m\n", + " Params (width, height): \u001b[34m10791.42675781, 14492.51\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.61\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:57:43 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:57:43 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 41\n",
+       "        Gradient (width, height): -0.02025161, -0.00054\n",
+       "        Updates (width, height): -59.42907715, -44.10\n",
+       "        Params (width, height): 10731.99804688, 14448.41\n",
+       "        Figure of merit:          9.45\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 41\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.02025161, -0.00054\u001b[0m\n", + " Updates (width, height): \u001b[35m-59.42907715, -44.10\u001b[0m\n", + " Params (width, height): \u001b[34m10731.99804688, 14448.41\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m9.45\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 42\n",
+       "        Gradient (width, height): -0.01665919, -0.00134\n",
+       "        Updates (width, height): -61.02302933, -49.65\n",
+       "        Params (width, height): 10670.97460938, 14398.75\n",
+       "        Figure of merit:          16.84\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 42\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.01665919, -0.00134\u001b[0m\n", + " Updates (width, height): \u001b[35m-61.02302933, -49.65\u001b[0m\n", + " Params (width, height): \u001b[34m10670.97460938, 14398.75\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m16.84\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 43\n",
+       "        Gradient (width, height): -0.01329967, -0.00249\n",
+       "        Updates (width, height): -60.43591309, -55.89\n",
+       "        Params (width, height): 10610.53906250, 14342.86\n",
+       "        Figure of merit:          20.59\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 43\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.01329967, -0.00249\u001b[0m\n", + " Updates (width, height): \u001b[35m-60.43591309, -55.89\u001b[0m\n", + " Params (width, height): \u001b[34m10610.53906250, 14342.86\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m20.59\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 44\n",
+       "        Gradient (width, height): -0.00164313, -0.00011\n",
+       "        Updates (width, height): -50.69794464, -46.40\n",
+       "        Params (width, height): 10559.84082031, 14296.46\n",
+       "        Figure of merit:          22.61\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 44\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00164313, -0.00011\u001b[0m\n", + " Updates (width, height): \u001b[35m-50.69794464, -46.40\u001b[0m\n", + " Params (width, height): \u001b[34m10559.84082031, 14296.46\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.61\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 45\n",
+       "        Gradient (width, height): -0.00385817, -0.00012\n",
+       "        Updates (width, height): -45.10831451, -38.83\n",
+       "        Params (width, height): 10514.73242188, 14257.63\n",
+       "        Figure of merit:          23.30\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 45\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00385817, -0.00012\u001b[0m\n", + " Updates (width, height): \u001b[35m-45.10831451, -38.83\u001b[0m\n", + " Params (width, height): \u001b[34m10514.73242188, 14257.63\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.30\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 46\n",
+       "        Gradient (width, height): -0.00143575, -0.00013\n",
+       "        Updates (width, height): -38.09061432, -32.80\n",
+       "        Params (width, height): 10476.64160156, 14224.83\n",
+       "        Figure of merit:          23.57\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 46\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00143575, -0.00013\u001b[0m\n", + " Updates (width, height): \u001b[35m-38.09061432, -32.80\u001b[0m\n", + " Params (width, height): \u001b[34m10476.64160156, 14224.83\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.57\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 47\n",
+       "        Gradient (width, height): 0.00183721, 0.00018\n",
+       "        Updates (width, height): -28.66728783, -24.55\n",
+       "        Params (width, height): 10447.97460938, 14200.29\n",
+       "        Figure of merit:          23.62\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 47\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00183721, 0.00018\u001b[0m\n", + " Updates (width, height): \u001b[35m-28.66728783, -24.55\u001b[0m\n", + " Params (width, height): \u001b[34m10447.97460938, 14200.29\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.62\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 48\n",
+       "        Gradient (width, height): 0.01098760, -0.00018\n",
+       "        Updates (width, height): -10.01313400, -21.75\n",
+       "        Params (width, height): 10437.96191406, 14178.54\n",
+       "        Figure of merit:          22.38\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 48\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.01098760, -0.00018\u001b[0m\n", + " Updates (width, height): \u001b[35m-10.01313400, -21.75\u001b[0m\n", + " Params (width, height): \u001b[34m10437.96191406, 14178.54\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.38\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 49\n",
+       "        Gradient (width, height): 0.01265253, -0.00008\n",
+       "        Updates (width, height): 5.70520592, -18.46\n",
+       "        Params (width, height): 10443.66699219, 14160.08\n",
+       "        Figure of merit:          21.76\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 49\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.01265253, -0.00008\u001b[0m\n", + " Updates (width, height): \u001b[35m5.70520592, -18.46\u001b[0m\n", + " Params (width, height): \u001b[34m10443.66699219, 14160.08\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m21.76\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 50\n",
+       "        Gradient (width, height): 0.01142319, 0.00000\n",
+       "        Updates (width, height): 16.13808250, -14.92\n",
+       "        Params (width, height): 10459.80468750, 14145.16\n",
+       "        Figure of merit:          22.23\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 50\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.01142319, 0.00000\u001b[0m\n", + " Updates (width, height): \u001b[35m16.13808250, -14.92\u001b[0m\n", + " Params (width, height): \u001b[34m10459.80468750, 14145.16\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.23\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:04:18 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:04:18 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 51\n",
+       "        Gradient (width, height): 0.00347020, 0.00007\n",
+       "        Updates (width, height): 16.57618141, -11.23\n",
+       "        Params (width, height): 10476.38085938, 14133.94\n",
+       "        Figure of merit:          23.60\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 51\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00347020, 0.00007\u001b[0m\n", + " Updates (width, height): \u001b[35m16.57618141, -11.23\u001b[0m\n", + " Params (width, height): \u001b[34m10476.38085938, 14133.94\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.60\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 52\n",
+       "        Gradient (width, height): 0.00192122, 0.00003\n",
+       "        Updates (width, height): 15.37905502, -8.72\n",
+       "        Params (width, height): 10491.75976562, 14125.21\n",
+       "        Figure of merit:          23.61\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 52\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00192122, 0.00003\u001b[0m\n", + " Updates (width, height): \u001b[35m15.37905502, -8.72\u001b[0m\n", + " Params (width, height): \u001b[34m10491.75976562, 14125.21\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.61\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 53\n",
+       "        Gradient (width, height): 0.00056524, 0.00004\n",
+       "        Updates (width, height): 13.01708126, -6.57\n",
+       "        Params (width, height): 10504.77636719, 14118.64\n",
+       "        Figure of merit:          23.61\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 53\u001b[0m\n", + " Gradient (width, height): \u001b[35m0.00056524, 0.00004\u001b[0m\n", + " Updates (width, height): \u001b[35m13.01708126, -6.57\u001b[0m\n", + " Params (width, height): \u001b[34m10504.77636719, 14118.64\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.61\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 54\n",
+       "        Gradient (width, height): -0.00052052, 0.00002\n",
+       "        Updates (width, height): 9.96084404, -5.12\n",
+       "        Params (width, height): 10514.73730469, 14113.52\n",
+       "        Figure of merit:          23.60\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 54\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00052052, 0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m9.96084404, -5.12\u001b[0m\n", + " Params (width, height): \u001b[34m10514.73730469, 14113.52\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.60\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 55\n",
+       "        Gradient (width, height): -0.00127741, -0.00002\n",
+       "        Updates (width, height): 6.67244864, -4.37\n",
+       "        Params (width, height): 10521.41015625, 14109.16\n",
+       "        Figure of merit:          23.57\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 55\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00127741, -0.00002\u001b[0m\n", + " Updates (width, height): \u001b[35m6.67244864, -4.37\u001b[0m\n", + " Params (width, height): \u001b[34m10521.41015625, 14109.16\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.57\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 56\n",
+       "        Gradient (width, height): -0.00175442, -0.00006\n",
+       "        Updates (width, height): 3.48840380, -4.18\n",
+       "        Params (width, height): 10524.89843750, 14104.98\n",
+       "        Figure of merit:          23.55\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 56\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00175442, -0.00006\u001b[0m\n", + " Updates (width, height): \u001b[35m3.48840380, -4.18\u001b[0m\n", + " Params (width, height): \u001b[34m10524.89843750, 14104.98\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.55\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 57\n",
+       "        Gradient (width, height): -0.00199524, -0.00008\n",
+       "        Updates (width, height): 0.64147300, -4.33\n",
+       "        Params (width, height): 10525.54003906, 14100.65\n",
+       "        Figure of merit:          23.54\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 57\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00199524, -0.00008\u001b[0m\n", + " Updates (width, height): \u001b[35m0.64147300, -4.33\u001b[0m\n", + " Params (width, height): \u001b[34m10525.54003906, 14100.65\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 58\n",
+       "        Gradient (width, height): -0.00204414, -0.00009\n",
+       "        Updates (width, height): -1.72472143, -4.62\n",
+       "        Params (width, height): 10523.81542969, 14096.03\n",
+       "        Figure of merit:          23.54\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 58\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00204414, -0.00009\u001b[0m\n", + " Updates (width, height): \u001b[35m-1.72472143, -4.62\u001b[0m\n", + " Params (width, height): \u001b[34m10523.81542969, 14096.03\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 59\n",
+       "        Gradient (width, height): -0.00194101, -0.00009\n",
+       "        Updates (width, height): -3.53560090, -4.86\n",
+       "        Params (width, height): 10520.28027344, 14091.17\n",
+       "        Figure of merit:          23.54\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 59\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00194101, -0.00009\u001b[0m\n", + " Updates (width, height): \u001b[35m-3.53560090, -4.86\u001b[0m\n", + " Params (width, height): \u001b[34m10520.28027344, 14091.17\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 60\n",
+       "        Gradient (width, height): -0.00168977, -0.00008\n",
+       "        Updates (width, height): -4.73281336, -4.85\n",
+       "        Params (width, height): 10515.54785156, 14086.32\n",
+       "        Figure of merit:          23.55\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 60\u001b[0m\n", + " Gradient (width, height): \u001b[35m-0.00168977, -0.00008\u001b[0m\n", + " Updates (width, height): \u001b[35m-4.73281336, -4.85\u001b[0m\n", + " Params (width, height): \u001b[34m10515.54785156, 14086.32\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.55\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:11:06 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:11:06 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# whether or not to restart the optimization from the current saved checkpoint\n", + "restart_optimization = False\n", + "restart_fname = 'misc/rf_autograd_1_single_patch_opt_state.pkl'\n", + "\n", + "# set up the single patch radiation monitor sizes\n", + "obj_fn_monitor_dim_single_patch = 1.25 * np.mean(patch_init_wh)\n", + "obj_fn_monitor_center_y_single_patch = 0.5 * patch_init_wh[1]\n", + "\n", + "# set up where the directivity monitor will be placed\n", + "directivity_center_x = np.mean(sub_x_single_patch)\n", + "directivity_center_y = np.mean(sub_y_single_patch)\n", + "directivity_size_x = 5 * mm + sub_x_single_patch[1] - sub_x_single_patch[0]\n", + "directivity_size_y = 5 * mm + sub_y_single_patch[1] - sub_y_single_patch[0]\n", + "\n", + "# set ranges of theta and phi to record directivity for\n", + "theta = np.linspace(-np.pi, np.pi, 201)\n", + "phi = np.linspace(0, np.pi, 101)\n", + "\n", + "# set the optimization theta, phi grid that we can compute directivity for via\n", + "# a near field monitor and the field projector\n", + "num_theta_opt_points = 12\n", + "theta_opt = theta[\n", + " (len(theta) // 2) - (num_theta_opt_points // 2) : (len(theta) // 2)\n", + " + (num_theta_opt_points // 2)\n", + " + 1\n", + "]\n", + "phi_opt = phi # use the full phi sweep, but limit the theta points to be centered around 0 degrees\n", + "\n", + "monitor_directivity = td.DirectivityMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0],\n", + " size=(\n", + " directivity_size_x,\n", + " directivity_size_y,\n", + " 4 * mm,\n", + " ),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"directivity\",\n", + " phi=list(phi),\n", + " theta=list(theta),\n", + " far_field_approx=True,\n", + ")\n", + "\n", + "monitor_radiation = td.FieldMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"radiation\",\n", + ")\n", + "\n", + "monitor_far_field = td.FieldProjectionAngleMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"far_field\",\n", + " phi=phi_opt,\n", + " theta=theta_opt,\n", + " far_field_approx=True,\n", + " proj_distance=50 * wavelength0, # project far away form antenna\n", + ")\n", + "\n", + "single_patch_optimization_monitors = [monitor_directivity, monitor_radiation, monitor_far_field]\n", + "\n", + "initial_poynting_flux, initial_s11 = compute_poynting_and_s11(\n", + " patch_init_wh,\n", + " params_to_boxes_single_patch,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " single_patch_optimization_monitors,\n", + " opt_freqs_single_patch,\n", + ")\n", + "\n", + "# Set up the objective function for the single patch that is a function\n", + "# of the patch width and height\n", + "obj_fn = lambda patch_wh: objective_fn(\n", + " patch_wh,\n", + " params_to_boxes_single_patch,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " single_patch_optimization_monitors,\n", + " opt_freqs_single_patch,\n", + " initial_poynting_flux,\n", + ")\n", + "\n", + "# Get function to compute the gradient of the objective\n", + "obj_val_and_grad = value_and_grad(obj_fn)\n", + "\n", + "patch_wh = patch_init_wh.copy()\n", + "\n", + "# Set up optimization parameters and optimizer\n", + "learning_rate = 30\n", + "optimizer = optax.adam(learning_rate=learning_rate, b1=0.8)\n", + "opt_state = optimizer.init(patch_wh)\n", + "\n", + "num_steps = 60\n", + "print_iteration_frequency = 1\n", + "\n", + "full_eval_frequency = 10\n", + "s11_sq_dB_evolution = []\n", + "s11_f_ghz = None\n", + "realized_gain_evolution = []\n", + "theta_eval_evolution = None\n", + "\n", + "# Set bounds on patch width and height in the optimization\n", + "clip_min_single = anp.array([patch_min_width, patch_min_height])\n", + "clip_max_single = anp.array([patch_max_width, patch_max_height])\n", + "\n", + "figure_of_merit_single_patch = np.zeros(num_steps + 1)\n", + "\n", + "def pack_optimization_state(iter_idx):\n", + " optimization_state['iteration'] = iter_idx\n", + " optimization_state['figure of merit'] = figure_of_merit_single_patch\n", + " optimization_state['realized gain evolution'] = realized_gain_evolution\n", + " optimization_state['opt state'] = opt_state\n", + " optimization_state['patch parameters'] = patch_wh\n", + " \n", + "optimization_state = {}\n", + "if not os.path.exists(restart_fname):\n", + " pack_optimization_state(iter_idx=0)\n", + "\n", + "if restart_optimization:\n", + " with open(restart_fname, 'rb') as file:\n", + " optimization_state = pickle.load(file)\n", + "\n", + "start_idx = 0\n", + "if restart_optimization:\n", + " start_idx = optimization_state['iteration']\n", + " figure_of_merit_single_patch = optimization_state['figure of merit']\n", + " realized_gain_evolution = optimization_state['realized gain evolution']\n", + " opt_state = optimization_state['opt state']\n", + " patch_wh = optimization_state['patch parameters']\n", + "\n", + "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", + "# at each step and clipping the design on the bounds\n", + "for step_idx in range(start_idx, num_steps):\n", + " pack_optimization_state(iter_idx=step_idx)\n", + " with open(restart_fname, \"wb\") as file:\n", + " pickle.dump(optimization_state, file)\n", + " \n", + " f, g = obj_val_and_grad(patch_wh)\n", + "\n", + " figure_of_merit_single_patch[step_idx] = f\n", + "\n", + " if (step_idx % full_eval_frequency) == 0:\n", + " \n", + " smatrix_data_eval, theta_eval, realized_gain_eval = evaluate_single_antenna(\n", + " patch_wh, freqs_s_params, opt_freqs_single_patch\n", + " )\n", + " smatrix_eval = smatrix_data_eval.smatrix()\n", + " smatrix_f_ghz = smatrix_eval.data.coords[\"f\"] / 1e9\n", + " s11_f_ghz = smatrix_f_ghz.copy()\n", + " s11_data_selection = smatrix_eval.data.isel(port_out=0, port_in=0)\n", + " s11_sq_dB_evolution.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", + " \n", + " realized_gain_evolution.append(\n", + " {\n", + " \"Gtheta\" : realized_gain_eval[\"Gtheta\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", + " \"Gphi\" : realized_gain_eval[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values\n", + " } \n", + " )\n", + " \n", + " theta_eval_evolution = theta_eval.copy()\n", + " \n", + " updates, opt_state = optimizer.update(-g, opt_state, patch_wh)\n", + "\n", + " patch_wh = optax.apply_updates(patch_wh, updates)\n", + " patch_wh = anp.array(patch_wh)\n", + " patch_wh = anp.clip(patch_wh, a_min=clip_min_single, a_max=clip_max_single)\n", + "\n", + " if (step_idx % print_iteration_frequency) == 0:\n", + " output_text = Text.assemble(\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", + " \"\\n\",\n", + " (f\"\\tGradient (width, height): \", \"\"),\n", + " (f\"{g[0]:.8f}, {g[1]:.5f}\", \"magenta\"),\n", + " \"\\n\",\n", + " (f\"\\tUpdates (width, height): \", \"\"),\n", + " (f\"{updates[0]:.8f}, {updates[1]:.2f}\", \"magenta\"),\n", + " \"\\n\",\n", + " (f\"\\tParams (width, height): \", \"\"),\n", + " (f\"{patch_wh[0]:.8f}, {patch_wh[1]:.2f}\", \"blue\"),\n", + " \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"),\n", + " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", + " )\n", + " console.print(output_text)\n", + "\n", + "figure_of_merit_single_patch[num_steps] = obj_fn(patch_wh)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Below, we plot the optimization output, including the figure of merit as a function of iteration and a comparison of the initial and final patch geometry. During the optimization, we also tracked how the `S11` coefficient and realized gain were evolving as the optimizer tuned the patch width and height. This evolution is visualized as well, showing the resonance moving towards the desired frequency and the antenna gain increasing accordingly." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the results of the optimization including the optimization trajectory and the resulting patch geometry\n", + "# compared to the initial state\n", + "plot_optimization_results(\n", + " figure_of_merit_single_patch,\n", + " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", + " params_to_boxes_single_patch(patch_init_wh),\n", + " params_to_boxes_single_patch(patch_wh),\n", + ")\n", + "\n", + "# Plot the evolution of the antenna S11 and realized gain during the course of the optimization\n", + "plot_antenna_evolution(s11_sq_dB_evolution, s11_f_ghz, realized_gain_evolution, opt_freqs_single_patch, theta_eval_evolution)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we plot a performance comparison between our initial final antenna states including the realized gain for both polarization." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
16:11:51 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:11:51 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:12:35 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:12:35 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABVEAAAKVCAYAAADGPqv/AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjYsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvq6yFwwAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsnQV8FFcXxQ8EQkggwd3d3b1AoWipUFdq1L+6e0tL3ZWWupe2tFBKobi7u7t7EkJCvt+5y6SbEM9uVnL+P4bdrMy+mZ2dN++8c+/Nl5iYmAghhBBCCCGEEEIIIYQQqZI/9YeFEEIIIYQQQgghhBBCEImoQgghhBBCCCGEEEIIkQ4SUYUQQgghhBBCCCGEECIdJKIKIYQQQgghhBBCCCFEOkhEFUIIIYQQQgghhBBCiHSQiCqEEEIIIYQQQgghhBDpIBFVCCGEEEIIIYQQQggh0kEiqhBCCCGEEEIIIYQQQqSDRFQhhBBCCCGEEEIIIYRIB4moQgghhMiQpk2bIl++fChUqBAOHDjg6+bkaU6dOoWRI0di0KBBqFKlCgoXLozw8HDUqFEDF198Mb755hvExcX5upkBxeeff27H93XXXYdg48SJE6hcubL9hk+fPu2RdXJfcckq3bp1s/dNnjwZ3uann36yzytevDgiIiJs+19++WX7/aRGz549ERkZid27d3u9bUIIIYQITCSiCiGEECJd5s2bh6VLl9p9inNff/21Vz7n6aefNoGFtyJ1Fi5ciLp162LIkCEYPXo0SpYsiX79+qF///4oVaoUfvvtN1x11VWoU6cOoqOjfd1c4QcMGzYM27dvt9v8+fPGpf///vc/XHLJJZgxYwbatGmD8847D1u3bsVDDz2E7t27IyYm5qz3vPTSSzh27BgeeeQRn7RZCCGEEP5P3riSEkIIIUS2+fTTT+22YsWKyf4WuS+gdu7cGZs2bTLRdMOGDVi0aBF+/vln/Pjjj5g7dy527dplIhBv5UbNPBdccAFWrVqFF198EcHEjh078Nprr6F169YmtvuaL7/80vYzhU1vwYmEt956C0WKFMGcOXPw999/45dffsG6devQuHFjTJ8+HU888cRZ72vVqpX9rr744gssWbLEa+0TQgghROAiEVUIIYQQaUI343fffWf3v/rqKxMmli1bZu5UkXswBHnw4MH2fTCM//fff0f16tXPel3p0qXNcUihiKkXROaIiopCvXr1UL58eQQT77//Pk6ePIkbbrgB/gDTT3A/M/2Et+DxTx5++GG0aNEi6XE6tbk/yLvvvosjR46c9V7up8TERBNhhRBCCCFSIhFVCCGEEOnmFTx69CgaNWqEc845B5deemmGblT3vIeLFy/GhRdeaAIGRb0GDRqYM45ChTt8/TPPPGP3eevkXEwtT2V8fDxGjBhhn1OiRAlbLwXFW2+9Fdu2bTurPWwH18PXU4wcPnw4GjZsaLlEGQ7P9tEdl5LNmzfb+6pVq2bt/fjjj9GyZUvLr0jRrVevXpg1a1aq+4Cu0AcffNAcd+XKlUNoaCjKli2LAQMGYMKECcgq3377LTZu3Gjr+eCDDzIMy6bzkNvnDgVYhixTWCpatKgJWdwPjz/+OA4dOpTu9jOX5ttvv40mTZrY+yg2Dh06FAcPHrTXUqh77rnnTCDj51aoUAF333235eNML23Dli1bcM0119j6wsLCLA0BH08t3JrfHVNJXHnllfY5zF/Jz2J6g7vuugs7d+7M8HicNm2afQcUm7kPmQs1o5yo/L74Hn5/BQsWtBybtWvXtrQJU6dOPev1PD4//PBDdOjQwY4TbhdfzzbSGZpRjlG6Jjt16mTbx2OtY8eOGDt2LLIKnciffPKJ/T4uu+yydL9ftpn5Qp3fBX+vDIdfvXp1hp+TlfZ6Oycq968zwXPFFVec9TzbyfywPF5TayPdutx2Thw5x7YQQgghRBKJQgghhBBp0LlzZ6qdia+//rr9PWPGDPs7KioqMTo6OtX3dO3a1V7z8MMPJ4aGhibWr18/8bLLLrPHQ0JC7Lm777472XuuvfbaxKZNm9pzvOXfzvLJJ58kve7o0aOJ3bp1s9cVKVLE1nnxxRcn1q1b1x4rWbJk4sKFC5Ote9KkSfZchw4dEnv27JkYHh6eeN555yVedNFFiZUrV7bnihUrlrhp06Zk7+PffK5q1arWjoIFCyZ279498ZJLLkmsU6eOPVeoUKHE2bNnn7UPevTokZg/f/7Exo0bJ/bt2zdx8ODBiS1atLD3cHnzzTez9D1ccMEF9r4BAwYkZocDBw4kNmvWzNYRGRmZOHDgQNv+UqVK2WPVq1dPd/svv/zyxMKFC9t+GzRoUGKZMmXsuebNmyceP348sVOnTknr7d+/vx0ffL5Pnz5nteWpp56y56655hr7vsqWLWv7h++LiIiw5zp27JgYExOT7H3btm1LOvbatWtn7+G+rVChgj1eunTpxHXr1qV5PN522232nTRo0MCOx169eiV+++239pqRI0faa/g9u/P5558n5suXz5a2bdsmXnrppbaN/C55LKc8jmNjY+0Y47rCwsJs+/ke5zjj/l6wYMFZbXSOiyeffNI+i9vP9zm/CT42atSoLH3n//77r72X301quH+/F154oR3fbDv3TY0aNZJ+YzNnzvRYe53vgr9Jb/DHH3/Y+kuUKJHhb+mBBx5I9XmeT/i8c2wIIYQQQjhIRBVCCCFEqqxZs8bEBIore/fuTXq8Xr169viXX36Z6vscoYTLhx9+mOy5iRMnmsBCAYqiWGriGm/T4oorrrDXUHDbs2dPsufeeOMNe6527dqJ8fHxZ4mojui3a9eupOco1PXu3dueu/nmm1MVmRyhifvDgesfMmSIPUcxLiVjx45N3Llz51mPU5Ci2Mh9un379sTM4ohwzz77bGJ2oMDF91MI3L9/f9Ljx44dM6HPEZnT2v6aNWsmbt68Oek5roP7mc9RKG7Tpk2y9W7cuDGxePHi9vz06dNT/Z65nH/++cnEeB4TjkBNEd4dCui///574smTJ5M9HhcXl/jII4/Yeyiqpnc8vvfee6nun7REVIrLfHzatGlnvYfHX0rB/qGHHkraX+6iNNt4ww03JAnWKbfBaR/F/JSivLO/uF+ywuOPP56uWOj+/VLcXbJkSbLj+84770w69ikOe6K9aYmo7r/RrCwpv6+3337bHueEQVrcdddd9hqKpanBCSM+z+9LCCGEEMIdhfMLIYQQIlU+++wzux04cKCFPzuwMnxmCkwxTP6WW25J9hgrY/fu3RsJCQmYNGlSltrDkHuG2TJUnOHtZcqUOasid9++fa2AzF9//XXW+xlGPHLkSAuvd2CotZNGIL0w+3feecdCzR1CQkLwwgsv2P0pU6ZYqLk7ffr0STW/Zvv27XH77bfb65nXNLPs27fPblNuc2ZgVXKmZeD2MyUBUxg4MMctQ765H2bOnGlLajCUv2rVqkl/cx1Mn0CWL19ux4L7eplegeHuZOLEiamuk2HjDHt3TztQqVIlS/dAmL8yNjY26TmmIOCxyJQG7jDEnnkweVyMGzfOKqynBo+92267DVlhz549FpLPMPCU8Lto3rx50t9s63vvvWf333jjDQuTd28j9yFTArAwGIuBpcazzz6Ltm3bJnuMhcLYhrVr16aariItWHSM1K9fP8PXMqUDUzW4H9+vvPKKFZNjygWG7HuzvfxNXnvttVleUn4vznfPtAJpwWOeME1JajClgVPITQghhBDCnQLJ/hJCCCGEOJPXkVWq3UVTB+awfPTRRy0fJCvE16xZM9V1MI9kalDUodiVVn7ItGAOQ5rgKFBSUEsr5yJfRzGQlbZTFrVp2rRpqu0habWnQIECOO+881IVfpgfk/lEDxw4kEycJXxszJgxJjLyNY7QSpGXrFmzBrkBvyfmNGUuVHehzIFCGYVtiroUtpnLM+X2M/9rSpjn09mvzJmb1vNp5SrlOlPuM8LvjYIs9x+FrJTtYeV0CrMUI5lzldvmHLO8v379+mTipsPFF1+MrMKctszfyWOeOV653rTy0c6fPx/Hjx+3PL2pHfvMJcvcpCxaxP2cWs7O1N7HnKY1atQwUZTHKHN6ZlYAJu7idlpQkEztc5kD+fXXX7d94M32Msetk5/W1zj7y9l/QgghhBAOElGFEEIIcRYU/3bv3p0ksLlDNx0dn6NHjza3quPITAnFtdRgARri7jLMDCysROh6zMgF6zg3s9IeFptJDTpK6SRM670USFNuC92d99xzT6qFlRzScsKlBp3AdPXt3bsXWcURh+kOTQtHCE9NSOb2U0hNy9GX1n51hO60vuf02kMXJ0XU7du3Jz3GfXn11Vfj119/RXqktV/dnaGZhW5YirpfffWVLdwmFu2iq5Vtcd/2nO5nT/9mnOrzznvTolixYrakhrMt7t+Dt9rrCZxjLr3fHYXu9PaL83hqxdaEEEIIkbeRiCqEEEKIs3BESoogXbt2Pet5RwSie4whvQz/TUlGFeSziuM4bNasWaqOUndShhjnpD1Zfd+CBQssjQH3yfDhw82tR7GJTkQnpJ7Pu1JLZo6WLVuaiOpUHs9NMtp+T3/P7rjvI4aJU0Cla/Gll14yMZOV1J3wfjpWZ82aleZ+dU8bkFnoUqZjePz48fj333/N4Txt2jS7z+OevxMnbYEn8OS+dITRrIj1aZHWPvVUe1evXm3faVZhOP+NN954llCeXhoB57m0RHVHfKbLXAghhBDCHYmoQgghhEjGrl27LCSe0A04Y8aMNF/LUG2G5vfr18/r7XLCgjt27Ih3330X/grzj1J0uvPOO/Hggw+e9bwTzp8Vzj//fPz222/4+++/LcyYbuDMQjexu5M3NZznnNfmBgzHT4vNmzcn5Uh1+PHHH+32hx9+SDUtQXb2a2agC5fOay6OKMkQd+bSpRh+wQUXWA5OZ9+lt125uZ+d/Ln8DafH4cOHbUnNjZra9+AN6Hp30odkFXcR1UnjwG3m95CaK5hpFwjTW6SGs7+y8hsTQgghRN5AhaWEEEIIkQy6S1n4iW5OioFpLY5AmFFofWZxHIXMbZkazIVKmEYgt8OEs8LBgwft1r0QkwPbnVaRnvS48sorzTkXFxdnBZ0cV256btiYmBi736VLF3MMLl682PKJpiaaUwgn55xzDnILujtTS09AAZ9CFkOz6cDNzH6luLx//37kBgz3fvrpp010jI6OtgJKpFWrVpbigO3kMZoSfh/ff/99ru1nRyRcuXJlhq9lqoKU8FijYO3kGvYmXH9655q0lpR5VCn20qFMWHwuJdOnTzcnKvO2OqJ4SpjDmLgfe0IIIYQQRCKqEEIIIZLBPKdpFZtxh8V2yJ9//plqDtKs4rjdVqxYkerzdJlddNFFJoJceOGFSS45d5gL8ZtvvvFpURinUBWdde6V4imgsjp8ek7FtGBOVjoxw8LCLKR90KBBqa6HAt4TTzxhbl0nxytTCQwePNhEJzon3Z2J3F8333yztY3h8CmLOHkTiooUhB2x13E233fffXZ/6NChtr0p9+s777yTbD0Mt+drPQ0FUjpOUzu2GdJP9yZTNjjHLdt6++23231uA6vaO7CoGAtT0XFJd2R2ilxlFUeoZYqDjHjuueeSxENCkf6hhx6yXKh0gPN3Fyiw6B1hegAWJnPgcc/fH7njjjsQFRWV6vuZsoEw760QQgghhDsK5xdCCCFEElOmTLHq5nRqsZJ4ejRs2NDcbhQqvvzyyyTxK7uwgBXDohm2zlyHrO5OkYqC4PXXX2+vGTlypIlXf/31F+rWrWu5USlKUSCkqEqnJR10q1at8lk4LtvKCuysTs62de7c2baDwhsFQ4ppfD6r0GE3depUE0T/+OMPE68pLLMSOp2mFO0YqkwXMR/jd+jw3nvvWd7JOXPmWHEjCmwMU+f3TZGQ7aT4nJtQhOc2sK3cRxRymWuUwm779u0tXN6dp556ysRHisQUlHn80cnK/cr3V6hQIUkA8wQ8jnhMP/DAA2jcuLEdjxSzeZzNnj3bXvPYY49Z0S8HtpnfwcSJE0305X6mo5ZC5tatW63yO9M9OK5rb8LfDdvG9qQVru+I7HRd8rdMRyjbyNy7GzZssN8jHZ3uYra/wwmGu+66C2+//TbatWuHHj162HbwO+F+4H6haJwaFLv5G+P2piyoJ4QQQgghJ6oQQgghknBC81kMKTOFVRw3qidC+il6Uhzt2bOnhSBTmOV6KfQ5UJBiGDiFHb6OwhSdmRTfKFAy7J1/O1XQfQHFKgpXdL3xPreJIlqvXr1McGZhrOxCIZXh4yNGjLCq8XTcUlBl+DgFRebn/O6770wwdS+kRGGMAuOLL75ogin3IQVMFmaic4/h/9mpXp8T2A7uJwqNFK4Ykl++fHk8+eSTmDBhwlmFoOg+5rFAUYwpCJxtZmg99zEFTk/C0PwPP/wQl156qbl6//nnHxP4+ZlsC0W5lEIvhWumRnj//fdN4KfAy+ORbWOOXIr8uRUmTqH2pptusrbzmEgLFjujKM39SJc328vK9HSfzp071yY0Ag1OUjAVAcV4HvdMEUHHMN2pPFekVWSMvwmmhbj88stRokSJXG+3EEIIIfybfIlZKQ0rhBBCCCFEDqBYR/GRzlLeF95jx44dNqHQqFGjpIJKDnTUUshmjtnUUmPkRTh5NGbMmBxPdgghhBAiOJETVQghhBBCiCCkYsWKlpKATmO6LEXaMIUB9xFzQUtAFUIIIURqSEQVQgghhBAiSGG6BoayM38rC0aJ1HnkkUcsXQhTXgghhBBCpIYKSwkhhBBCCBGksKgSc52K9GEeXiGEEEKI9FBOVCGEEEIIIYQQQgghhEgHhfMLIYQQQgghhBBCCCFEOkhEFUIIIYQQQgghhBBCiHSQiCqEEEIIIYQQQgghhBDpIBFVCCGEEEIIIYQQQggh0kEiqhBCCCGEEEIIIYQQQqSDRFQhhBBCCCGEEEIIIYRIB4moQgghhBBCCCGEEEIIkQ4SUYUQQgghhBBCCCGEECIdJKIKIYQQQgghhBBCCCFEOkhEFUJkmnnz5qFDhw6IiIhAvnz5sHjx4lQff/PNN+128+bNWVr/559/nq33CSGEEEIIIYQQQngTiahCZIOlS5fiyiuvRMWKFREaGopy5cqhU6dOeOaZZ7z+2Rs2bMAtt9yCGjVqICwsDJGRkejYsSPeeustxMTEeO1zT506hcGDB+PgwYN444038NVXX6Fq1aqpPp6YmAh/ZubMmXj66adx+PBhXzdFCCGEEEIIIYQQAUC+RH9XO4TwM0aNGoXLL78cVapUwdVXX40KFSpg69atmDBhAvbt24d169Z57bPHjBljgmWhQoVwzTXXoFGjRoiLi8P06dPxyy+/4LrrrsPHH3/slc9evXo16tevj08++QQ33nhjuo8nJCSYuMp20lmaWbL7vqzy6quv4oEHHsCmTZtQrVo1r32OEEIIIYQQQgghgoMCvm6AEIHEoUOHMGTIELRu3Rr//vuvuVAdnn32WezcudNrn03B77LLLjP3Jz+7fPnySc/dfvvtWL9+vYms3mLv3r12W6xYsQwfDwkJsSWrZPd9QgghhBBCCCGEEN5E4fxCZAG6TY8cOYIbbrghmYDqQFeqt3j55Zdx/PhxfPrpp8kEVIdatWrh7rvvTvp70aJF6NOnj4X7FylSBD169MDs2bPPet+OHTtMGC5btqw5QBs2bIjPPvss2WvocO3atavdpxOWLtFu3bql+XhauU35Wdx33E/8rOrVq+PWW281Ny1J730ZtZHh+XwvxWS2i6JuVFQUrr/+ekRHRyd7HV2ohJ/P9ygPqxBCCCGEEEIIIdJDTlQhssCJEyeScqLmNn/88YflQWUBp4xYsWIFOnfubALqgw8+iIIFC+Kjjz4ygXPKlClo27atvW7Pnj1o166diYh33HEHSpcujb/++suEzqNHj+J///ufvY45WJn/ddiwYbjrrrvMiUtBk+Jsao9T9EwJXbpt2rSxPKQ333wz6tWrZ6/7+eefTeRMTZTOShsdLrnkEhNHX3zxRSxcuBAjRoxAmTJlMHz4cHv+wgsvxNq1a/Hdd99ZDtdSpUrZ41yvEEIIIYQQQgghRKowJ6oQInNs3rw5MTw8nHmEE2vXrp344IMPJv7777+J8fHxXv3cI0eO2Geef/75mXr9oEGDEkNDQxM3bNiQ9NjOnTsTixYtmtilS5ekx2644YbE8uXLJ+7fvz/Z+y+77LLEqKioxOjo6KTHJk2aZG346aefkr02tcdHjhxpj23atCnpsWuuuSYxf/78ifPmzTurvadPn07zfZlt41NPPWXvHTJkSLLXXXDBBYklS5ZM9tgrr7xy1ucIIYQQQgghhBBCpIXC+YXIAsxHOmvWLHM70lnJEPvu3bubQ5Sh/t6CjktStGjRTBVnGj9+PAYNGmTtcmAKgCuuuMKKUHF9rCnHYlQDBgyw+/v3709aevfubWkL6OT0BKdPn8Zvv/1mn9WqVauznk+riFR22jh06NBkf9ORe+DAgaR9KIQQQgghhBBCCJFVJKIKkUWaNGmCH374AQcPHsSkSZMs5+a2bdus6JOTe/ODDz5AixYtLIyeOTjdSe+5tGBYPjl27FiGr923b5+1o27dumc9V79+fRM02V6+jqH1H3/8sYWyuy/cJveiUTmFn0URs1GjRll+X1bbWKVKlWR/Fy9ePKkomBBCCCGEEEIIIUR2UE5UIbIJc3gyxygXin1//vkn1qxZg+bNm5vrkwLpt99+e9b70nsuPRGVxZiWL1/usfZTTCVXXXUVrr322jQFY1+SnTaGhISk+jo6WYUQQgghhBBCCCGyg0RUITwAK8YTVoMnDKUnY8eOPeu16T2XHv379zdHJtMJtG/fPs3X0aUZHh5ugm5KVq9ejfz586Ny5cqIiIiw9AAM/+/Zsye8CdtEITirIjDf5402ppU+QAghhBBCCCGEECI1FM4vRCZhLtGYmJizHl+6dCnGjRtnDlT3HKSe5sEHHzTh88Ybb7SK9SnZsGED3nrrLXNi9urVC7///js2b96c9DzfQ/drp06dTNDk6y666CLLOZqauEl3raegcEvx+I8//sD8+fMz7RL1Vhu5HwlTBQghhBBCCCGEEEJkhJyoQmSShx9+GGvXrsXgwYPRtGlTxMfHY/Hixfjqq6/Mgcpbb1KzZk0TQS+99FLLbXrNNddYjtG4uDjMnDkTP/30E6677jp77fPPP49//vnHBNPbbrsNBQoUwEcffYSTJ09aMSyHl156yfK6tm3bFjfddBMaNGhguV5ZrImFsnjfUwwbNswKXnXt2hU333yzbcOuXbus3RSoixUrlur7vNHGli1b2u1jjz1muWyZn5bFqxxxVQghhBBCCCGEEMIdiahCZJL77rvPBD8KgV988YWFmFevXh133nknHnjgAQs99zYDBw405+srr7xiTlMWqWIqAeYFfe2110xkJA0bNsS0adPwyCOP4MUXX7TcohQhv/76a7t1KFu2LObOnYtnn30Wo0aNwvvvv4+SJUva+4cPH+7RtlesWBFz5szBE088gW+++cYKTfGxPn36WPqBtPBGG1u3bo3nnnsOH374obmIuX82bdokEVUIIYQQQgghhBCpki9R1VaE8BpDhw5FuXLlrJBUVp4TQgghhBBCCCGEEP6DcqIK4QUY6h8bG2tuVff7GT0nhBBCCCGEEEIIIfwPOVGF8AJ0lz7zzDPJHhs5cqTlLE3vOSGEEEIIIYQQQgjhf0hEFUIIIYQQQgghhBBCiHRQOL8QQgghhBBCCCGEEEKkg0RUIYQQQgghhBBCCCGESAeJqEIIIYQQQgghhBBCCJEOBdJ7UiTn9OnT2LlzJ4oWLYp8+fL5ujlCCCFyCNOCHzt2DBUqVED+/JpXFEIIIYQQQgiROhJRswAF1MqVK/u6GUIIITzMtm3bUKlSJV83QwghhBBCCCGEnyIRNQvQgeoMtiMjI7O1jlOnTmH8+PHo1asXChYs6OEW5k08vU9PnDhhrjRHOI+IiEBeQ8ep59E+9c99evToUZscc87vQgghhBBCCCFEakhEzQJOCD8F1JyIqOHh4fZ+CSmewdP7NCQkJOk+15lXRVQdp55F+9S/96lStAghhBBCCCGESA8lgBNCCCGEEEIIIYQQQoh0kBNViFSgu00IIYQQQgghhBBCCCIRVYgUMHyfeVGFEEIIIYQQQgghhCASUYXIgyQkJFg+ybTgcwUKFEBsbKy9VuQc7VPf7FPmSnXPcyyEEEIIIYQQQmQHiahC5CESExOxe/duHD58OMPXlStXDtu2bVPBHQ+hfeq7fVqsWDF7nfa7EEIIIYQQQojsIhFViBTQ1XbRRRfZ/V9++QVhYWEIFhwBtUyZMpb3NS1R6fTp0zh+/DiKFCmC/PlVf84TaJ/m/j6lyBodHY29e/fa3+XLl/dBK4UQQgghhBBCBAMSUYVIAcOCx44dm3Q/WOC2OAJqyZIlMxSn4uLiTECW4OcZtE99s08LFy5stxRSeewrtF8IIYQQQgghRHbQSF6IPIKTA5UOVCHyEs4xn14eYCGEEEIIIYQQIj0kogqRx1BeSJHX0DEvhBBCCCGEECKnSEQVQgghhBBCCCGEEEKIdJCIKoTwa7p164b//e9/OV7Pb7/9hlq1allOTE+sz1+47rrrMGjQoBytY/LkyebWZM5cb1KtWjW8+eabHl3nkCFD8Prrr3t0nUIIIYQQQgghREokogoh8gS33HILLr74Ymzbtg3PPfccAo3Nmzeb0Ll48eJkj7/11lv4/PPPc7TuDh06YNeuXYiKioInYHuKFSt21uPz5s3DzTffDE9y//33Y9iwYThy5IhH1yuEEEIIIYQQQrgjEVUIEfQcP37cqrP37t0bFSpUQNGiRbO1HlaC9zcofKYmWGaF0NBQlCtXzuu5Q0uXLu3xwmYNGjRAzZo18fXXX3t0vUIIIYQQQgghhDsSUYVIQUREBBITE23hfeF74uPjcccdd5hgWKpUKTzxxBP2/TicPHnSHIkVK1a076xt27YWok5464im3bt3N6HQee6XX35Bw4YNUahQIQs1f+2115J9Lh+ja/Waa65BZGRkkoty+vTp6Ny5MwoXLozKlSvjrrvuwokTJ9Ldhg8++ADNmzdHWFgY6tati6+++irZ82wXX9OnTx9bb40aNfDzzz8nPV+9enW75Tr4WqY5SC2cn4/feeedlrKgePHiKFu2LD755BNr3/XXX2/7gmkN/vrrrzTD+bkO/p1yoRuWMHy+cePGtq+5/bfddpsJ1c66+Dl0hjrve/rpp1MN59+6dSvOP/98FClSxPbvJZdcgj179iQ9z/c1a9bM9hXfy+//sssuw7Fjx5Ltu/79++P7779Pd/8LIYQQQgghhBA5QSKqEHkUipBx8ad8srgLoJnhiy++QIECBTB37lwLX6eIN2LEiKTnKbDOmjXLhLSlS5di8ODBOO+887Bu3ToLVV+zZk2SaMqwdT62YMECE+0oyi1btswEO4qzKUPjX331VTRt2hSLFi2y5zds2GDrvuiii+yzfvjhBxNV2Ya0+PXXX3HPPffg9ttvt/cwtQCFxkmTJiV7HdfP9S5ZsgRXXnmltW3VqlX2HLedTJgwwbZh1KhR6e4vis18DwXVW2+91fYJt3vhwoXo1asXrr76akRHR6f6fq6bn+EsF154oQm/FGRJ/vz58fbbb2PFihX2Wf/++y8efPBBe46fQaGUoqjzfgrcKTl9+rQJqAcPHsSUKVPwzz//YOPGjbj00kuTvY77m/ls//zzT1v42pdeeinZa1q3bm3bSjFdCCGEEEIIIYTwBgW8slYhhN9zKiEeb/2Vei5NipwUpOjQ9EaI9919rkNogYKZfj3djm+88Ya1hWIeRU/+fdNNN5mbceTIkXbLUH1C0W7cuHH2OPNllilTxh4vUaKEha0TCrE9evQw4ZLUqVMHK1euxCuvvGLuTge6V++7776kv2+88UYTOJ3iVLVr1zZBsWvXruYkpdM0JRRir732WnsvxcV69eph9uzZ9vg555yT9DoKnXwNoQOWwuI777yD999/30LhScmSJZO2IS0o+j7++ON2/5FHHjHRkaIq9xd58sknra0UdNu1a3fW+7mfHLifKZLOmTPHHLLEvTAXHaLPP/88hg4dau1kagA6RvldpdfOiRMn2ve4adMm+37Jl19+ac5g5k6lMOqIrRS2HTcxxV++94UXXkhaF793plrYvXs3qlatmu6+EUIIIYQQQgghsoOcqEKkIDY21sQsLrwvfA+FPncxt3379uYyTUhIMCGOtxRBGRbuLHQs0sWYFnR4duzYMdlj/NtZr0OrVq2SvYYuUYp67p/FXKsU+ygIpvVZdGim/CzHZeq+XSn/TvmazNCkSZOk+yEhISa8MvzewXGUMk9sejDk/+GHHza3LfevA92wFKCZPoHiJoXNAwcOpOlsTQ1uF8VTR0B18psyv6v7NlOkdc9hW758+bPa7Yi7Wfl8IYQQQgghhBAiK8iJKkQKKKA5uShzWvXcnykYUsAcoalBQfDo0aPmmmTotjc+21MwFyeFQobn89YdCpw5JWVeXH4ew/GZBzUlVapUgT9QsGByly8FaPfHHEGa33Na0JXLdAJ0sTL834F5UZmDlCkC6Aala5XpDG644QZzg3q6cFRq25Ky3UwJQBy3rhBCCCGEEEII4WkkogqRR6EYlVZIPUUqPsfFGyJqVmEouTsMhWcYPUVTFlqi8E13Ios9ZZb69etjxowZyR7j33RcphRj3WnRooUJjCzOlJXPmjlzJi644IJkn0XnZcrtYhEr97+5fYRh8sTdJest9u/fjwEDBlh+VuZydYdiNY8PFuFyjo0ff/wx2WvY1ozayX2ybds2Wxw3Kvcri1ul3C8ZsXz5clSqVMlSFgghhBBCCCGEEN5AIqoQwu9hvtN7773XHKAsjMQ8oRTxCEVP5iil+MjHKDru27fP8mYyrL1fv36prpN5Tpl3k7lHWcyIhaneffddy+uZHg899JClF2AhKeYvpVOV4h/zl/L9qfHAAw9YESvmQqWLc8yYMVa8iWHx7vz000+WPqBTp0745ptvrFjSp59+as8xryvD1pnrlYIhc68y96g3oHhKRymLbTHPqAOdnhSPT506Zd8BhVaKwR9++GGy9zMEn45dfgfMz8p1pXSo9uzZ01IM8LtjIar4+Hjcdtttlls2ZQqFjKAT1t0tK4QQQgghhBBCeBrfW8yEECIDKJDGxMSgTZs2VuH+7rvvxs0335z0PAtI8TUURll4atCgQVacKL3wejpK6aD8/vvv0ahRIyu29OyzzyYrKpUaFGaZb3Xt2rXmfKVoy/c6Ra1Sg+1hgSaKrBQOP/roI2tzt27dkr3umWeesfbwM1hk6bvvvktyZRYoUMAKWPG9/CxWtvcWU6dONXcnizQxB6mz0DVKUZRFuYYPH277jWLviy++mOz9zP/KQlMUpym8vvzyy6k6oX///XcUL14cXbp0MVG1Ro0aln81KzBvMdfjFM0SQgghhBBCCCG8Qb5EluEWmYI5Iun8OnLkiOWKzA50cI0dOxZ9+/Y9K9efgF/s0xMnTiTl0qSbLmVOzECFYhMLH1WvXj3VCvK5mRM1L5LRPqWo+Ouvv5rgKjK/TylO051LJ3B2jn1PnNeFEEIIIYQQQgQ/UkeEEEIELJw4oUNXCCGEEEIIIYTwJsqJKoQQImBhGgc5SIUQQgghhBBCeBuJqEKkgAVwGMbv3BciN1BmFSGEEEIIIYQQwn+RiCpEKrkpgyUPqhBCCCGEEEIIIYTIOcqJKoQQQgghhBBCCCGEEOkgEVWIFJw8eRLXXXedLbwvhBBCCCGEEEIIIfI2ElGFSEF8fDy++OILW3hfCCGEEEIIIYQQQuRtJKIKIYQQQgghhBBCCCFEOkhEFUIIIYQQQgghhBBCiHSQiCqECHhWr16Ndu3aISwsDM2aNfN1c3LE559/jmLFiuV4Pfny5cNvv/0Gb8K8wYMGDfLoOj/88EMMGDDAo+sUQgghhBBCCCFyikRUIUTA89RTTyEiIgJr1qzBxIkTPSZEeptq1arhzTffTPbYpZdeirVr1+Z43bt27UKfPn3gCTZv3myi7OLFi5M9/tZbb9m+9iRDhgzBwoULMW3aNI+uVwghhBBCCCGEyAkSUYUQAc+GDRvQqVMnVK1aFSVLlvTYehMSEnD69GnkJoULF0aZMmVyvJ5y5cqhUKFC8CZRUVEeF6tDQ0NxxRVX4O233/boeoUQQgghhBBCiJyQJ0XU9957zxxgDP1t27Yt5s6d6+smCSHSYNy4cSaQUqyjQNq/f38TTR3okFywYAGeffZZu9+tWzdcf/31OHLkiP3N5emnn7bXnjx5Evfffz8qVqxozlX+/idPnpy0LsfBOnr0aDRo0MBEyK1bt6barilTpqBNmzb2mvLly+Phhx9GfHx80vNsxx133GELxUYKoy+88AISExOTnt+yZQvuueeepHa6t8GBbWeKgs8++wxVqlRBkSJFcNttt5nA+/LLL5tY6qw7rXB+rsP5DPfFcZFmtI+rV69ut82bN0/ax6mF83P/3nXXXdYenl+5znnz5iU9z33N99Mt3KpVK4SHh6NDhw7mIHaH4fz8DmJiYjJ1jAghhBBCCCGEEN4mz4moP/zwA+69914L/2XIaNOmTdG7d2/s3bvX100TfgKFHR4PXHg/aKGYF3cinSU6g+dzsJwREjPDiRMn7Dc7f/58E9/y58+PCy64IMkhyrD1hg0b4r777rP7FN8YIh8ZGWl/c6FwSihozpo1C99//z2WLl2KwYMH47zzzsO6deuSPi86OhrDhw/HiBEjsGLFilRdoTt27EDfvn3RunVrLFmyBB988AE+/fRTPP/888le98UXX6BAgQI2UfPGG2/g/ffft/WSUaNGoVKlSib+Ou1MCwqaf/31l4md3333nX1Wv379sH37dhNz2d7HH38cc+bMSfX93H7nM7i8+uqrdmxTyMzMPnYmmiZMmGDvZ9tT48EHH8Qvv/xi283za61atez8evDgwWSve+yxx/Daa6/Z53H/MITfHbaLgnRa2yNEMOKkzXBPkeFMgOQ27pNP/rIvPMErr7yCGjVqICQkJKDyZ3M/cH/wnCmEEHkd9Zf/of7Sc/0nTSKOUUSI9CiAPMbrr7+Om266yZxqThGTMWPGmMuLTjJ36Kri4nD06FG7PXXqlC3ZwXlfdt8vcmefOk5Ad2dhoMP9QxckhTETx+JOIP/zFdOcXfFmRtHTj+8AQiMy9VqKee5QhCxbtiyWL1+ORo0amchJIY7OUkfwLFq0qHWY7gIoLzJGjhxptxUqVLDHKBxSmOTvn05O7hfup3fffdcmWJLamyKkn272ypUrW8g5P6dOnTomrPIcQjGTIiThaygW8jUUFOmYZR5RnoN4jPHChM5Sp51J343bZzrfGbeb21WvXj3r4One/PPPP+2zateubULqv//+a8Kue7u5UDB1JgRmz55tbeS+oNuWz2e0j50UCcWLF0/WVrbNaR+FWIrJ3JcUTslHH32Ef/75x9ZHIdfZpueeew6dO3dOEl7pPKV4Tfcq4S3du5s2bUKXLl3SPDYcV6/ThrRw2srvlvvcHZ2LRcqLbef6gPB44W/h3HPPtXMEXewiObw2euedd/Drr7/ahFRsbKw55Fns75prrrEJH39g/Pjxdr656qqrbMBbqlSpXPlc5nfm/pkxYwb27dtnKVt4Hud+ueWWW+z4cuBEG8/VdPl7m7Fjx9oEmS8H/0KIwEX9ZdZRf+m5/lIIX5KnRNS4uDgTMR555JGkxyhA9OzZ09xpKXnxxRfxzDPPpHpiyalDkcKC8Czap+lDoZEd9fHjx+23QKepr0ovHT16DAhNyNRr6cIcNmyY/XbpaHTEstWrV1t4O2FoOyc8nIkOXpRQNHP+JnQ18nXsjN3h++ha5Wv5PubkZLoP9/emZNmyZWjZsiWOHTuW9FiTJk1s365atcrEUwrwLVq0SPYahv9TgD106JBdbHJb+Jnun5Wy7Wwft9P9sRIlSphwys9zoNBJZ6r7uhgO7/73tm3bTDClI5cOXOe5jPax8zkUSt3XRwGS28nHKLjyb+4H99cwBQBdv3yMQqmTHsB5Dfe90wbuNwcKqWxLet+Dg/s+Tg0e79wXU6dOPWtixGmTEO7QIc7jlL9HTjxwsDh9+nQ7zh2xPzfghEfKCV5/Yv369TZpwtQkPLdwEMiJIZ5rKNIxNciXX36Jq6++OkvrZX5r/mYLFizosbZykonXfHTy8zyfGzz55JM2aUQ3D4VR3vKY4rmWE2x07bunTqGIysFqbomo7I8kogohcoL6y8yh/tKz/aU3oMYjRGbIUyLq/v37TURJOYvBvykWpIRiK51qDhzMc5Dfq1evpIF/VqHIQLGPs3SePNnlZTy9TylaPfDAA0mhDN4uzpNbsCNiR80O2y5qEou6HKGpQMHu2LHjKFq0iFdCYyILhjP+JVOvvfLKK03I++STT8xBSoGPQh1FYed3SEGS35PzN7eP7Xb/nfJ9fB1zdKZ0I3Kf8LV8H2c96YJMD342jzX39XMdhG5RPp7yNY5r0rY/MtLawAsUfqb7elK2ndvlvm2EFzRsp/tj/Cz3fULcX0MBlBdm7du3x0svvZTse81oHzvbRrdvWp+ZcvtT21fO5BNFYOc1aa2bQjPPt+mda13H6bEk53F6xz73BV2tKS/oMyPSirxHnz59ktJd3HjjjSZs0e3NdCGXXHJJrrWDvx8u/ggnJDgQ3LNnj6UV6dixY7LnmTaJAxJed2UV/p49Pfhmih6eBzw1IOT5xzm3pJU+igNCHi9fffXVWZ/LFC9chBAikFF/mTHqLwOjv8wtwVgEPnkuJ2pWcIQL94VQEMjJ4ol1aPHePmVnxDQPXHjf19vmyYXbQ+HOFop4YUVTXfIVKgKEhtttWq/J0XJGQMxooZDGsPUnnnjCRHLmPmXBKOL+OuK+bbyY4IWI+2voHOVjnExh+L37QuHQfV0ZtYth8Jxtd/9Mutkp5lGMdNbDUEnneb6WAi4dpPwu+Bg7awqWKdfv3gZHHHR/3ikMld4+SLkOznjzs77++uskATez+9i5OONFUFrt4HZxe7gfnOe5v5mDiOtMb/+mfIxh/LzY4neW3vfg7JuU+yKt16Z3/hAiPZz0EyldEJyAvfjii21igL8TDiQ5cHSHjmqms2jcuHHShA0HncynnBEpc7zRnZFakbiUOdk4GchBGdOI8FqGExIMzXNPUeS8jsXtSpcubeevgQMHmqM9M/z000/mNOK5I+WA0IGTztzWrO6L1HK8cdv5HqZOYUE73me7ub6MBp5cF1OYcDIpZWE9Dm45eKtZs6btK0YiPProo2ftKz5Op9Dff/9t3zMHg0xZkp6rhmJCWk4eTta5f2dcP/Nwc4DttDFlbja2iZP73G5OPHFQzpDHlDCHNo9ZvobfK0MhuW73fUkXqrNv3IsbEubNZtE/RjhwO3ku/vnnn9Pdx0IIQdRfno36S8/2l+6fQfGZOVt5THF8llbdhsz0n8qJKjKLf07XeAn+OCkecBbIHf7NMGchhH/BHJwcxH388ccoX748tm7dmqlQHXasDEFnkSTmNqUDkmIpHZcUExkWwjBzdp58DV2XWclDdNttt1nxqjvvvNNC4ylC8gKMnbMjChK2l48xjw/FRDo96W52bydDzC+77DK7GPFWziFeeLAoFC80uF+c8HxelGRmHzMPKi+AmD+WxbCcnKXu8ILk1ltvNRc3L5ApJr/88ssWLn/DDTdkOScSw3h4kSaEP8BBCuHvxYGiFAdDzPvG3wx/Az/++KMNWFhgzck1vHHjRvz2229WyI4hj7zm4GCia9euWLlyZVKO5szAcwlTELnD3+U333yTLF8xB3cMp7z55ptRv359S0FCF8fatWutLQ50DXFi5YorrjDRjCF8mT0X/vHHH3bLnGmZJaf7goM/hkO2bdvWhD6e13g+57mC55+0oLOF5zhObDnF/bi9zj5gmCAH9yxQyNQvTOfE1CzMW+cOz/WXX365fQ/MbV23bt1UP4/7mQvX7bjtM8LpU/h6Ft8jKSOn+DyPQfY3PCb5HvZBdPG4b+u1115r+4luMJ6Dma+6U6dOWLRokfU7bP/OnTstioevTwlzd/MYYp/JdCgsxsjvjHm4/SVnnxDCP1F/eTbqLz3bXzowr+yll16KoUOHWr9H8Zf7i98zjSFZ7T+FyDSJeYw2bdok3nHHHUl/JyQkJFasWDHxxRdfzPC9R44cYTyu3WaXuLi4xN9++81uhWfw9D49fvy4fc9ceD9YiImJSVy5cqXdZgR/F4cOHbJbX/PPP/8k1q9fP7FQoUKJTZo0SZw8ebJ9N7/++mvSa5o2bZr41FNPJXvf0KFDE0uWLGmvdZ7jMfLkk08mVqtWLbFgwYKJ5cuXT7zgggsSly5das+PHDkyMSoqKlPtYjtat26dGBoamliuXLnEhx56KPHUqVNJz3ft2jXxtttus3ZERkYmFi9ePPHee+9NjI+PT3rNrFmzbJu4bc7pOGUb2HZunzvXXntt4vnnn5/sMX7e3XffnfS3+z7ic84x7b7wszK7jz/55JPEypUrJ+bPn9/Wl1o7eGzdeeediaVKlbJ1dezYMXHu3LlJz0+aNMnWy2PLYdGiRfbYpk2bkh7r1atXps7JmT1O0zv2PXFeF8EDfxM8HiZMmJC4b9++xG3btiX+/PPPiaVLl7Zjmn879OjRI7Fx48aJsbGxSY+dPn06sUOHDom1a9dOeozPpzxGebxzfc8++2yyx9x/l87vP71LtXXr1tn54txzz006t3z11Vf2O502bVqy13744Ye2rhkzZtjfixcvtr95nnLniiuuSHbeTIvmzZsnFitW7KzH2W9y3zmL+28rJ/uC5xs+5v46px0tW7ZMt63O+yMiIpI95uyDG2+8Mdnj999/vz3+77//Jj1WtWpVe2zcuHEZftbvv/9ur33zzTeTPc7jw33fcHHvNxo2bJh0fk3tuOzZs6etw+Gee+5JDAkJSTx8+LD9fezYMftObrrppmTv3717tx0n7o/ffvvtaR5b0dHRyf5m39moUaPE7t27Z7jtQoi8gfpL9Ze+7C+dz/jll1+SHuP+49iO25nV/pOw/02tDxYiJXlORP3+++/t5PP555/boPrmm2+2kxovMDNCIqp/IhE1uEXUQCWlqKl9mjmWL1+eWKZMmWQXNWkhEVV4GudiO+XCiZe///476XUHDhxIzJcvX+Jzzz131kX+M888Y+/Zvn37WevnwG3//v32Ok5YDBo0KNuDQvZPFLbYNq7TYeDAgSbGpWzX2rVrbV3PP/+8vW7YsGH29+rVq5OtlxMfmRkU1qxZM7FSpUpnPc7znvu+69evX6rvz+q+cAaFe/fuTbaeu+66yyapsjModPYBzw/u7Nq1yx6/7777kg3YqlevnpgZODDn+0eMGJHscZ6vUh5b8+bNy7SI+uOPPyZ7fNSoUfb4kiVLkv3NwWzK75+TU7Vq1cqUiOrOwYMH7f233nprqiKAECJvov5S/aUv+0t+RoUKFZIJo4SmFr6W7cpK/0kkoorMkqfC+Qkt3wzhZe6N3bt3Ww4NWr5ThkwJIYTIfXbt2mXVSTMq7iWEN2G+SKYAYX7gzz77zNJuuBcZZJVdTkQzvxmXtAozMHSR4YIMj2bldeb7dc9HxlQa2YXhccw5N3PmzGTrYXgbQ+uY9yutdhFWCGb6kZRpM9IKuUsJc8IdOHAg1XQnzFOWWuhiTvcFU4mk3C6G5zG3c3Zw9gFz4bnDFE/FihWz591hSGVm9w1xUqc4MFSRIfSE6VXc07tkBqZJcccJl3W2n9896d69e6rvz2xRVIbtP//881i8eHGyXHfeKDQphAhs1F9mjPpL7/SXbEvKfonHImHIvnu6xoz6TyGyQp4TUQnzX3ARQgjhX6TMXyWEL2jTpk1StWHmbGM+SeZBY44vXthzcENYpIE5x1LDGWgMGzbMBo5DhgyxggzMGcyByP/+97+k9WQVDqy+++47y8/GyWB3uE4Wonj99ddTfS+LZniCevXqmcjGwhUc/Do4BftIyorBOd0XzGvvDTIrDqZVWTi1fUNYSMQdVo52znGZLUiSme13ZXBxffdOTrvUcv1npnI1c1IzR2CXLl1s8M5c2SzAx1xz3377bZbbLIQIbtRfZoz6y9zvL7PafwqRFfKkiCqCn4TTCTgWcwIxcbE4GR+H2FNxOBV/CqcTE3E68TQSE0+77p8+c8u/T5+21x49djRpPd9OH418BfMjLj4eIfnzo0BIARQMKYBCBUMRVrAQCoeGITw0DGGhrvt8jK/LhzMdDKsanlkXO76IQoVRNCzC1iOCm8mTJ/u6CUIID8ALbxZOOOecc/Duu+9aUQwWPiMUlzIS/lnVnO9l1Vl3Dh8+nK1ichS5OBjlQIqFf1JCpwyr9/bo0SPdwU7VqlWt36M7x91Nw4FvZqB7hgWHWKSDlYwzg6f3RU5x9gHdSCwo4sACHmwTn88O3J+1a9e2oiAsXsEiKpkhp05PxyXFoikZHZdpfRaLvHAwz6rK7m4yiqhCCJEe6i9TR/2l5/tLd5ez+3fHIlWERRSF8Bb/lZEWIoCIT4jHoRNHsHX/TqzasR7rDm7D+GXT8cOsMfh44vd4Y+xIfPLvD/h6+u/4afZf+GPBRIxbMhXjl07DhGUzMHH5LExaMRtTVs3FtNXzMGPNAsxatwgLN63A2r1b8PAnw2w5GHsUh04cxYmT0TgacxwHjx/GniP77XPX7tqEJVtW2fu4rrGLJmPU3L/t836cPda1zBpjbeLy3Yw/MOLfH61t74//Bt/O+AMTls3E0q2rsfvwPpxKiPf1bhVCCJEK3bp1M7cNL/BjY2NNpOJjrJTLFBQpYdog90FlSqfDTz/9ZI6UrMLPuuSSS8zpk1YoOJ/nuj/55JOznouJicGJEyfsfp8+fez27bffTvYabmNm4Oc0aNDAHDKzZ89O9TUpt9uT+8IT9O3bN9VtdlxJOalE//TTT2P//v0WRnrq1KlMuV84eORgNLvQ5cWQfTqYUvtM9+PSGaim/Dx+RxyQuoeOMizSvUq1EEKkhfrL1D9H/aVn+0uyc+dO/Prrr0l/Hz161FKC0XGcWjSGEJ5CdjjhtyLpkZjjOHT8CA5HH8WR6GPmLD0We8LEzOiTMUmvtVmxA5uRsK2guT0dCoSEIDy0sLlGCxUshNCQAvY8Bwch+UKQP38+5M+XH/npFrXb/ChUsCBCCxS01xfibYFQhBYMRWhIQXO3Uuhk2+hYpcs1Ju6kLbGnXPdjT5201xEr3HamLbzPdh4/eQLxCQkmynLZcXB3UnvZthIRUSgdWQJlIkuiTFRJRIUX9bhzVWELIq+hY154ggceeACDBw/G559/jqFDh1oeOA7OGArIC3+6bejImDVrloWe0d3iOFCeffZZXH/99ejQoQOWLVtmbhTHnZMV7rrrLhtw0slCV4s7TZo0seXqq6/Gjz/+aG2cNGkSOnbsaILY6tWr7XE6DBl6yUHG5ZdfbiHbzGXHtk2cONGcHZmBriIOXijccT9ceOGF6Ny5s4lzHOSNHj0aW7duTTaw8uS+8ARNmzbFtddei48//tjExK5du2Lu3Ln44osvLCyVLqDswnBWhifSlcV1XnbZZZYjjoNyPs7wUuaCc/KykZYtW+KDDz6wfKQMb6X4kFZ+09SggMr38xho0aKFfSZz4vF7GDNmjB0LdIc5n+UcU/wOOWDn6/l9cVB83nnn2TYwJyCPdbZn6dKl2d4fQoi8g/rL5Ki/9Hx/SZgK4YYbbsC8efOsvg1z8vK4UuSE8DYSUYVfCBz7jx3CzkN7sfvwXuw+st/+zijfC0XSooWLILxgGGL3HEX72s1RKrI4IsOLolh4UUQUCve7Igjc1phTJ3E0+pi5WvcePYi9Rw9g75EDJspyu7ms2rEh2fu4LZGFI2x7Ka5WLF4WFUuURUj+zOe7YQdOoqOjM52nRohggMe8+29AiOzAQQ9D/1599VUbBNJVMn/+fDzzzDM2UGTRCIpezZs3t+KVDo8++qgNBJhP8ocffjBxi4IWwxyzCgeEHODde++9Zz331FNP2aCQE3J0Db7xxhvmyODALTw83AZed999d1L+NcIBB0U2Dsz4Hgp2bFtm88BxXczzRncOP+evv/5CXFycDWbatm1rbXKKZnh6X3iKESNG2L7hd8htoHvlkUcesbbnFDpCOWimcMl9TacN+1/ut/vuu88G7u5uGR43LM7x8ssv49ixYzZIzYqI6gxGK1SogJdeesncVywMxRx8HLBzMO5+PN95550mLjBXIK9POHDl5zF8lO9nCCwHssOHDzc3qkRUIURmUH95NuovPdtfEqYBeOedd0y0Z2oF9lfcV2nl3hXCU+RLlEUn09AizorRnIHKbIXTlNCiPnbsWLPE59UBvUs0PYhtB3Zh64Fd2H5gtwmIKaEjtFhEJIpHRJkoWiQsApGFi6DoGTGxcMFCJpJ6ep+yQ3vsscfs/gsvvIDQ0FDkxj45Hhttguq+M8Iqb4/FHE8zzJ95WOuWr47m1RqaezWzoS2cPeSFCy8S0hKZzTV7/LglhHd393qcxNMAnbtcEhNSv29/x7NRrte73mj/XP/ls9yzriW/222I65ZCsz3m9reJz85zbq/xIrm2T/MQGe1T/q4ooNJJxcqhLJDijfO6EEIIIYQQIndgztNGjRrhzz//9HVTRB5ETlThdShkUBCkaGrLwV2IjTuZ7DUs1lS+eBmUL1Ya5c4sDGP3hZOUoixnTp0cLbkhonI7XeJwBGqWrXKWc5ViKtMYHD5xFLsO77OcrBSel2xZbUv1MpXQqkZjVC1VMd195szgUVRKD/vcmBibAczyd8B5mWQiaPyZvymCUhA9I4aa0zh7lTa9gyO+OkuKv018LQgwtYIJslnbLznapyJH+5QCqnIjCSGEEEIIIYTICRJRhVdg/tKNe7dh095tJpwyV2hKl2mF4mVRuWR5W8oVK5Wl0PS8AoWh8NAwW8pGlUrmwNt2cDcWb16Jdbs3Y9Pe7bZQfGZaAwqxqYlKfIxuPDpRU0vc7cDnpk6dii5duqTv7o07AexcAuxZCexfDxxYBxze5hJPM7+RQKGiQFjUf0vhYin+jgIKRQEFw4D8Bc44R884SvlZCSeB+JPAqVggIc7VLluOAye5HANO8u9jbo+dcD0e/19+3UxTIAwoVgUoVRMoUw8o0wAoXQcoVCTn+1RkmszsUz7OXH9CCCGEEEIIIUROkIgqPAadkiu3r8eaXRstx2dK0bRSiXKoVLIcKpesgLJRJSWa5gCGLlctVcEWulMXbFqOZVvXYPfhffh13ngTXNvXaY5aZaumKqZSVEpPWOJz8fHxCAsLSy5OJZwCtswG1v4NbJrmElCTQuzdVxAKRFYAoir+dxtRGggv8d9S2Lktdia83kdwm04eBWLdlyOuxXk8+iBwaLNLKD64yeWuPbwO2Dzxv/VwP5esCVRsCVRtB1RpC5Spn7Rtae5TkW20T4UQQgghhBBC5BYSUUWOYKX6Nbs2mYC3/eDupCrY5ngsVhrVy1RG9dKVTNRTHkjvwLyxPRp1QLvazTF/w1Is3rIKe47sx2/z/rEiVO1qNUftclWzv//p7qRouvw3YN1EIPZwigZUBaq2Bco1Bso2AMo1BIqW93qOUY8RUhAIL+laMgNz1B7eAuxfB+xcCuxc7FqObHeJrFyW/OB6LR22lVqZqJqvQkuEJJyd+1cIIYQQQgghROZgsUMhfIVEVJEtTpyMwZItq7B48yqcOOmqfE0Ymt+gUi3ULFsVEYVUAT434f7u2qAtWtdqigUbl2HhphXmCB69YAKKF4lCm5pN0KBiLRRgTs+MOB2P0keWIuS3McDqMa6wdweKjXV6AbW6A9U6AsUqIU/B/UfHKZe65/33+PF9wM5FwLZ5wNa5rlvutw2TbOFe78sUBAdGuvZdrW5AhRau9QkhhBBCCCGEEMKv0ehdZDnX6Zz1S7Bs22rEJ7jyXhYJC0fTqvXRsFJtRIUX9XUT8zzMn9q5Xmu0rNHYhNRFm1fg0PEj+HvJNMxauwhd6rdBvQo1Ui/Es3c1MP9zFFj8IzpE7//v8ahKQOMLgQYDXM5KpWI4myKlXeIyF8JcrXtWAFvn2JK4eSby0626ZaZrmfi8K99r7R5AowuBOucCBTXxIIQQQgghhBBC+CMSUUWmxdPZ6xdb2H7CmaJBDNdvWaMR6pSvrvymfiqmdqrb0hyoS7euxrwNSy1v7Z8L/8XybWvRt1lXRISFA6digBW/A/NGAltm2Xspr54sUBQFmg1GSLNLXfk9lY4ha/A3Ub6Ja2l7E07GxuDvnz9GuzKxCNs+GxHb56IA864uG2XL6YIROF23D0La34x83N+Bkg5BCCGEEEIIIYTIA0hEFekSF3/KxDcup5gLEkClkuXRoU4LVClZPnU3Y4BTuHBhLF++POl+oMOiXq1qNDa3ML/HueuXYPO+7fjpn89xccJ6FFnxMxBz+D/hr24fxDe7En+vjUWffgMRooI9GcJcwPytxJ46aUtMXCwOnThqRb8OnTiCgyeO4NCxw1izextWF62N/KX7Il+p81Du+DbUPbjElsi4w8i//Gdg+c/YV6QK1lfrjX3VeyA8vBhCCxRAwQIFERpS0NIx2N8hBREWWgglihQzwVwIIYQQQgghhBDeQyKqSFMUWrljPaaumovjsa6cpxVLlEXHuq2CVjx1YAGmhg0bItgoGFLAxO96hUOw988nUGvnNBRIdLmKEVUZaHUt0PJqILI8Ek+dQuL6sb5usl/+LnYc2oPtB3Zj95F9OB5zwvIDR8fFJKW3SIvTiYnm2C4dWQJFCxdBwQIFkA81sSm+A1bEnkCR/atQd8dU1N+/EKWPb0Xp5Z/g8LpfMKNibywu1QKJ+dJ2AhcODUPJosVRsXgZVClVARVLlLPvWwghAon33nsPr7zyCnbv3o2mTZvinXfeQZs2bey5NWvWYMiQIdiyZQuGDh2Kxx9/3NfNFUIIITyO+kIh/BuNsnOZfOv/RdnDC5FvbQhQgLs/nytslwVnChQCCoQCIbwtBISEnnks7L/HWUncywImQ76ZP5NuRcI8p8yjWbd89aAWT4Oe2KPApOEoMesDlDjtchVvL1IN8yudi7Z97kf5kuV93UK/TmfB3LIrtq9LmlRIDYqkhUMLIaxgIRSLiESx8Ei7LRERhaKFIjA1cTL6deqHgmm4e0+fPo3oQ9txet7nCF/4BYpF70O/jd+hy8HZWNvkeuwq1cQc4XS9xifEW1v4e6XzdfuBXbYwZzHbUb54GVQtVQFVS1W01BucHBBCCH/lhx9+wL333osPP/wQbdu2xZtvvonevXvbgLFMmTK44447cNVVV9lAkgPH7t27o0OHDr5uthBCCOEx1BcK4f9IRM1lQn4dinbRB4B1OViJCazugmvoGaH1jPBaqAhQpMyZpSxQojpQqpbrlq9Jx2W3dOsaTFk1BydPxaFASIg5F1tWb5S5iu5BQlxcHIYNG2b3H330UYSGhiKgSUwElvwI/P0EcGy367Ga5yC+y72Ysy8aG/dtx66F/+KqToNQtHCEr1vrV0THxWLW2oVYvGWVCZyEAmnV0i5hkgJpRKFwC6cPL1TY3J9pTTScOnUqw0kICp1FSlYBznsS6H4/MOtDYNobKHp4E1pOfRJodhnQbzhQuHjSeyioMmXAvqMHse3ALmzdv9OEVUdUnbFmAQoVDEXlkuVRpWQFVCpZDqWLlpCoKoTwK15//XXcdNNNuP766+1vDiDHjBmDzz77DA8//DAOHTqEli1bokmTJqhQoQIOHz6ThkYIIYQIEtQXCuH/5B1lzE9ILN8Eh3dvQVRUJPJb+Z5El8jFsOr4k0B8HJDA25NAQpzr9oxrMAl73UngZBY/nAJOyVpApZZnllZA+aZASAETTf9aPAXrdm9OCt3v3bQLShYphrwGxa5nnnnG7j/wwAOBLaJSNP1lKLD+X9ffFNL7vQzU7W0//v5V4vDtjNHYf+wQRi+YgMs7DJC4xp9YQjwWblphrk7mOHVyAbes3hA1ylTOnUmF0HCg671A62uBSS8Dsz8CFn8PbJgMDHwTqN/X9bICBVE2qpQtjSrXsckQ5mPdemAntuzbYbexcSexfvcWWwhF1YrFy5qgWrlkBROE5TIXQvhy8nLBggV45JFHkh5jX9SzZ0/MmuUqePjss8/a3zExMejfv785c4QQQohgQX2hEIGBRNRcJuGqnzF17Fj07dsX+TNbsOf0GYHVxNW45PfPeuykK2z7xD7g+F7g6C7g4EZg/wbg5FFg/zrXQjGGhEUhrkp7zM9XCrsLV0NI4VLoUr81WlRrKDEt0Fk/CfhxCEDnM53K3R4AOt4JFPyvCBHFtAta98JX037DzkN7MXv9YnMf51UoQK7euRHTVs/Dkehj9liZqJLoVr+tuU99QnhJl/u0yUXAqNuAfWuBby4D2t4I9HnJ5UR3g2JoiSJRtjSrWt+2ae/RA5aeg7lcmdOVkyYb926zhdCBXLd8DdStUEOCqhAi19m/fz8SEhJQtmzZZI/z79WrV9t9Xjft27cPR48eRenSpX3UUiGEEMI7qC8UIjCQiBoIsGI6XWngkk3odqWoumsJsH2Ba9k6F4g9jNC149ARsCWubGOEFjkERIYBpWp7citEbsHvetYHwF+PAomngXKNgUs+A8rUTfXlDEnv0ag9xiyajFnrFqFm2SooER6FvMb2g7sxZeUcE5NJkbBwdK7XGg0q1vKPCYXKbYDbpgP/DgOmvwXMGQHsWg5c/iVQtFyab6Mg6jhV29Zy5V3dd+ygCarc5i37d1jO1/kbl9nCwldtajYxQZW5VYUQwl8oVKiQBo1CCCHyNOoLhfAtElHzCnSWFS0LFO0F1OllDy3fsgqLZ32LKofXot6JjSh9eB1C9ywD/uHyDFCmPtD4IqD55UCxyr7eApFZAXXc48CMd1x/N7scOP+tZO7T1KhfsRbW7d6Ctbs2YfzS6bi0rStUPC9Ax+mUVXOxZufGpPD41jWboFWNxnbfr+D32PtZoFoH4KebgK2zgfe7AJd/BVRpm6lVUBB2RNWWNRpZ6oJN+7bb9jPcn7lVKahPX7PA9kHTqvUkpgohvEqpUqUQEhKCPXv2JHucf5crl/YkkRBCCBEsqC8UIjDwA3uV8AXM9/jX0unYFVEF0e1uR8l7ZiPfQ+tcglvtHkD+AsDeVcDE54HXGgGfDXSlAGC6AOGfsPDRb3f+J6BSbLvowwwFVMet2LNRBwvv3314H5ZvX4tghwWZpq+ej88m/2QCIvdBkyp1ccM5gy2lgd8JqO7UPQ8YOgkoU8+V9/azAcCav7O1KuZ3rV2uGvq36I5bel6OTvVaWZEsissTl8/EZ5N+xqodGywtgBBCeAPmHmehjIkTJyY9Rtc8/27fvr1P2yaEEELkBuoLhQgM5ETNgyzbusbEEUKnWbcGbV05EIuUBlpf71piDgGrxrqE041TgI2TXQtdjm1ucC1Fyvh6U4QDBa4/7gUWfOlK/zDoXaDFlVlaRURYuImHk1bMxvQ181E+oQiClV2H9mLMoklWgImwcn33hu0t/2nAUKoWcMtEV95bCqjfXA5c8inQ6IJsr7JwaBja125u54Xl29Zi1tpFOBx9FH8u/NdC/bvUb4OqpSp4dDOEEILce++9uPbaa9GqVSu0adMGb775Jk6cOJFUoVgIIYQIdtQXCuH/SETNYzBc+++l084WUFNSuLhLhONyaAuw6Dtg/ufA0Z3Avy8CU14DWl4NnPOwK02A8C3jnwLmfeZK23DRx0DTwdlaTfNqDbB06xrsO3IAGw4dRjBCcZC/Ac7ssqASxVM6MQOymFKhosAV3wI/3wws+wX44Xrg5HHXbzMHFAwpYMdCw0q1TTydt2GpOZR/nDUGNcpUtuJzpSMDSHAWQvg9l156qRXLePLJJ7F79240a9YM48aNO6vAhhBCCBGsqC8Uwv+RiJqHoAgydtFkC8tl2HKaAmpKilcFuj8MdL0PWDkamPk+sG0eMPdTl7ja4Tag891AWHAUIwoLC8PcuXOT7vs9LDA07U3X/UHvZVtAJcx92aVea/wyZxw2Hd6J47HRKF4wOL5XQkGQTltSp3x19GrSydyXAU1IQWDwCCC0CLDgC+DX213O5FbX5HjVTGlAd3LTqvXNlbpk6yps3LvNcqg2qlQHneu1MgezEEJ4gjvuuMMWIYQQIq+ivlAI/0Y5UfMIJ2Kj8eu88TiVEI/qZSrh3Madsu68o1jDQlMMIb5hLFC5NXAqGpjyKvB6M2DJjy7xJsBhQu/WrVvbwvt+zfp/gT/vd93v8TjQ8qocr7Jm2SqoULwMEhJPY876xQgmB6ojoLJw1MCWPQJfQHWwFA5vuyY0yO93Act/89jqIwoVRs/GHXB914tNfOZEzLJtazBi0o+YvW6xFacSQgghhBBCCCGCGYmoeQCGLY9ZPNlchSWLFrcCMqzQnSOqdwJunuAKJS5dB4g+APx0I/DNZcCJA55qukgPpllg+HbiaaD5FUC3BzyyWorrHeu0tPvLtq/F0ZjjCHR2HNyD8Uun2/22tZpm3oUdSHB7+rwItLzWdUzw97jZlfvYU5QoEoXzW/XEFR0Honyx0laca9rqeRg5+Rds3rfdo58lhBBCCCGEEEL4ExJR8wBzNizBln07LM8h3XdhBQt5TrRp0B+4fSbQ8wkgJBRY/Rfwbgdgi8vxF4jExcXhlVdesYX3/ZL4k8B317gKgFVsDgx80/V9eAgWWipZOMoEeIbABzKxp07ij4UTkXA6AbXLV0Pneq0RtPAYOP9NoMEAICEO+PYK4MBGj39MxRJlcWWn89GveTcUCQu34lM/zf4L45dOw8lTfvqbEUIIIYQQQgghcoBE1CBn75EDmLl2od3v2bgjShUt7vkPKRDqckEOneRypR7bBXzWD1jwNQKRU6dO4cEHH7SF9/2SCc8BOxe5CoBd9hVQ0PNh6bWLV7bbpVtW48TJGAQqU1fNxbGYEygeEYm+zboFnwM1tdD+iz9xievRB13ucBab8jDcjw0q1cYN51yC5tUa2mNLtqzG51N+wdb9Oz3+eUIIIYQQQgghhC+RiBrE0Hk3bslUcxPSgcdK216lfGPg1ilAw/OBhFPAr7cBk18NijypfsWGycD0t133L3wfKF7FKx9TKrwYykaVsjy6izatQCCyZf9OE/ZI76ZdrFBSniA0HLjqB6BoOWDvaleOVC/9DrlPmS/1kvb9EBVe1NI//Dh7LOZtWGq5U4UQQgghhBBCiGBAImoQs2Djcuw5sh9hoYVwbqOOuePAC40ALv0C6Hqm2NGEZ4F/npGQ6ilOHgNGnSke1HoIUL+f1z6Kx0vrGo3t/uItqwKueBAFvMkrXWklWF2eKQryFBRQL/sSyF8AWPozMO8zr35c1VIVcF3Xi9Cocp0z+36OTeJwMkcIIYQQQgghhAh0JKIGKcdjT2DWukV2/5wG7RARFp57H86iVec+CZz3guvvqa8Dk1/Jvc8PZsY/BRzZDhSvBvQ5s3+9SK2yVRFZuAhi4mKxeqfnc2t6k1U71ls6i0IFQ9GpXivkSaq2A3o/67r/16PAvnVe/Ti6Us9r2sVSh7B43fJta/H7/AnmZhZCCCGEEEIIIQIZiahByvTVC6xyNitoez2MPy063Qn0fcl1f+LzwJxPfNOOYGHzLGDOCNf9QW+7XL9ehkJYs2r17f7CTSsCJjybrtnpaxbY/TY1myI81PM5YwOG9rcBNboBp2KAn290pdrwInQwN6/WAINanWvF7Dbs2YofZ41BdFysVz9XCCGEEEIIIYTwJhJRgxC675ZvX2v3uzfq4NtCOh1uA7o/4ro/5kFg3UTftSWQoZPvz/tc91teA9Tslmsf3bhKPRQICbHUEDsP7UUgsHLHehyJPoaIQuFoUd1V9CjPQmf4RR8AYcWAHYuAWR/kysfWLFsFg9v1tXQiPG5+mPlnQBcoE0IIIYQQQgiRt5GIGoTMWLvAHIP1KtREheJlfN0c4JyHgeZXAMyN+MN1wH7vhhQHJfM+BXYvBwoXB3o/k6sfTRcnjyWyfNsa+Ds89udtWGb3W9dsnHeKSaVHVEWgzzDX/YnDgENbcuVjK5Yoi8s7DEDRwhHYf+wQfpo9Vo5UIYQQQgghhBABiUTUIINuwfW7t5j7tEPdFvAL6IQ9/y2gSjsg9gjw/XXAKf8VUsLCwjBp0iRbeN/nnDgATDiT/5S5ZsNL5noTnJQQa3Zt8vv8lgwfP3j8MMIKFkKTKvV83Rz/ocWVQPXOwKlo4M8zhd9ygVJFi+OSdv3MFbzv6EH8PPsvy7ErhBBCCCGEEEIEEhJRg4yZaxfabf2KNVGySDH4DQUKAZd9AUSUAnYvA/46E+Lvh4SEhKBbt2628L7PmfIqEHsYKNcYaHWdT5rAyvZR4UVx8lScifT+zNwNS+22adV6VlRKuE1mDHwTCCkIrPk7V1NrlCgShUva90V4ocI20fPLnHF2LAkhhBBCCCGEEIGCRNQgguGyjgu1Xe3m8DsiywMXf+ISc+Z+CqwZ5+sW+T8Mu3YKcrHKen7fiLo8phpUrGX3V27333QM+44ewI6Du60gVp7PhZoapWsDbW923R/3mCvFRq46UvugcGgYdh3eh1/njbcCYEIIIYQQQgghRCBQwNcNEJ6D1dNJrbJV/cuF6k7tHkCHO4AZ7wC/3QXcNceV59OPOHXqFD7++GO7f/PNN6NgQR/m1JzwPJAQ56quXqu779oBoEGl2pi1bhE2799hBYIiChWGv7F4y+qk30CRsAhfN8c/OedBYNG3wJ6VwIKvgNa5524uHVkSg9v1wQ+zxmDbgV34c+EkDGzZw0RvIURwEh8fjz179mDv3r04evQojh8/jmPHjiXdut8/ceKEvf706dO2jBkzBtHR0Rg8eLCdJ5wlPDwcRYoUQdGiRZNu3e/ztlSpUihfvjwKF/a/vkoIIUTeIjY2Frt27cL+/ftT7f/cH2O/5/SDXH766Sdbh3tfyGjJiIiIdPvByMhIlC5dGuXKlfPteFaIIEMiapDAHIOOQ9DvHXg9H3e5UFlgauwjwEUfwp+Ii4vDHXfcYfevu+4633U63D9LXZ2mFZOig9eHMCS7XLHS2H14Hzbu2YrGVerCn4iLP4VVO9bb/WZV6/u6Of4LJy0opPK3N/llV9G3ArmX9qBsVCkManUufpk7Dut2b8b4pdPRu2lnczsLIQILip7r16/Hxo0bsXPnThsgOovz9759+6zgX4kSJWxAl9aAr3jx4qhUqRIKFCiQNEhkXvLFixejdevWdo7gYDIhIcEGmBxw7tixI01B9sCBAybIRkVFmZhaoUIFu3UW/l2lShXUqVMHJUuW1DlICCFEtjh48CDWrVuHzZs3p9oPcjl06JAJn+zr2O9xMpALJ/q4sL8rVKhQ0i1fy36JS4sWLUww5XvZnzoL+2D2dSdPnjSRNiYmxvpH3vI59of8XL6WYqp7H+jeL1avXh21a9e2vlgIkTESUYOEpVtXW8GfMlElLX+lX1OwMHDh+8AnvVyOuBZXA9U7+rpV/seU14DE00C9PkBF/0jPULNsFRNRN/ihiLp65wbLs1k8IhJVSlXwdXP8m9Y3ANPeAo5sBxZ+DbQZkqsfz++nf4vu+H3+BCzbtgaFQwuha4O2udoGIUTmozM4MFy7du1Zy/bt200YrVGjBipWrGiDMd62atUqmWhZtmxZhIaGZuuzx44di759+2Z5QpOCKx0/qQ1mZ8yYYX9v2bLF/ubAlGJqyoWDSg5chRBC5G0oTHLSMLW+kH0Nox/Y/3FSrlixYjaB16hRI7Rv394mEdkPlilTxoRTTha6LxRMU/7tRGlRRD1y5AhWrFiBNm3aJNXrcCYVOVmY3kIxdffu3TahSbGXk4yMClm5ciVmzpxpIuy2bdvsM9hfp+wH69atayJrdvpwIYIViahBAGeXlm1dY/dbVGsYGG6KKm2BltcB80cCf9wL3D7dVfBGuDi4CVjyg+t+twfhLzBMfsaaBdi8b7uJ9gVD/OcUsnzbWrttUqVeYPwGfEnBMKDLvcCYB12Fy1pclatuVFK7XDX0atIJfy+ZZsXAmCu1Ta2mudoGIURy6GBZsmQJFixYkLSsWrXKBnMUFJ1B1RVXXJF0n4NCfzznss1sG5emTdM+t3BASQeRMxhevXo1Ro8ejTVr1thAs2rVqmjZsmWyhYNlIYQQwQnFxoULFybrCxlxwUk1Z9KQoigF0gsuuMAe4998nk5Sd1epcz8nqasoylJEZd+T3QhJCq6OY9VZ+LfjWuXEIidMHcH177//xqeffmqPcUKTYiodsU4/2Lx5c3PUCpEX8R8FRGSb7Qd349CJo1aJvG6FGggYej0JrBwN7F0FzPkY6HC7r1vkP0x/21X0hzlkK7WEv1A6sgQiCxfB0Zjj2Lp/pzlT/YHDJ45ix8E9rgJYlVwFsEQGtLoOmPqGy41Kwb7l1bneBAresXEnMWXVXFsiwsLRsFLtXG+HEHkRDqDcB4iOYMpBmjNIOv/8802AZNi7434JNhi+yIEhl5QT1BxILl++PGn/jBw50pxIlStXTiaq0h1E95EQQojA4vDhw5g7d66d4x3hdNOmTdbvUTjk+f7qq69GrVq17L6ThoYLRVMudI/6O+zDnRQCaUGx1EkDwIX3OZlIIXXDhg0WffLbb7/hpZdesjzn3D8pJxl9Hb3x3nvv4ZVXXjExmNcv77zzjvXRqfHJJ5/gyy+/tH6esP3Dhg1L9nqm9vviiy+Sva93794YN04FsvMy/v+LFxmyYpsrF2rd8tURWiCA3JzhJYFznwJ+vwuYNNyVm9HPikz5hOiDwKLvXPc73wN/giJlzbJVsWjzCmzYs8VvRNSVZ3KhVi1VUQWlsuJG7XAb8PcTwMz3XG5UH7jJ6D6NjovFvA1LzZVaNCxC6RiE8JJoOnv2bEyePNkW3qe7xRn4XHjhhXZLh40/OktzG+4Duli7d+9ui/uAe9GiRUkD7q+++sqcrAzb7Natmy1dunSRW1UIIfwQ5gidNm1aUl/I6AuKoxQEKZxSNKtfv7495oTl85aO0mDvG+ly5bZySTmpyEgV9n9cGPpPZy4jNiis/vHHH3j55ZctNQAFSKcvpFM3N0XVH374Affeey8+/PBDtG3bFm+++aYJnmwn+/OU8Pu//PLL0aFDB/t+hw8fjl69epnrl9dCDuedd55NojrQWSzyNhJRAxwW01mza6Pdb1i5DgIOCjezPnC5Uae8Dpz3nK9b5HvmfQ6cigbKNQaqd4a/UatcFRNRN+7dZp2qry8o2AZHRK1fsaZP2xJwtLoWmPQSsGclsGESUOs/oSA36Vq/jbmb1+zcaHlSr+g0ECWLJL+AE0LkXDRlXrZzzjkHV155pTkw6Kzx9Tk80ODgkvuQiwMdq1OnTrX9/NRTT9kATKKqEEL4p2jK8PvGjRvj3HPPNdGNfaEjHjqCqfgPXic4rltHXKRASmGVgiqFVe5nRrOw/2NBSIqO7BtzU1R9/fXXcdNNN+H666+3vymmjhkzBp999hkefvjhs17/zTffJPt7xIgR+OWXXzBx4kRcc801yUTTcuXKea3dIvCQiBrgsLo1hdTiRaJQsXhZBBzMqcnK819dAsz+EGh3C1CsEvIsCadcqQ0IXYJ+OLitWKIcQvKH4FjMCRyJPoZiEZE+bQ8LXR06fsTyszLPpsgChYu5JjJmfwTMeNdnIiovzvo064rjsScsLcOoOX+bkBpRqLBP2iNEoMLiEHSEcJk0aZKJphy4SDT1Lqx6fNFFF9lCGOboiKpPPvmkFfBg/riBAwdiwIABdl/fgxBCeMdcwfBs9oPMbz1v3jwrjNSkSRP07NnTRFPm+ObEFhcWR9T5OGfCKgtJEoqkFFRZaIsL+76Uomrnzp2T+kKK2Z4iLi7OIkQeeeSRpMeYh5bf+axZszK1DorCTGnAayd32JfTycoilIxMef7555XCJ48jETXAWbtrk93Wr1AzcDuAOr2Bap2AzdOBqa8BA9/waXM42/Tnn38m3c9VVo0Bju4EipQBmlwMf4RiZblipUzs2nZgl89FVOc3UKNsFcsLLLJI+1tdwv26CcCBjUDJGj47rs5vdS6+nT4ah6OP4vf5/+DS9v1MsBdCpD1YZEg5B4ocMC5duhSdOnWywckbb7xh4Yn+fm3AbXAqDPOWFYf5GGE+NsKcbAwz5LZwca9k7I/bx8HWxRdfbIsjqrJIB7+nV1991ZxO/I640NEq15MQQuRMQOPElSOc7tmzB+3atTNR7/bbb7ciiBJNvQ9FSwqQXLjP+R04oioFVEdQ/fHHH3H//fejXr161g9SVKVjNSfFt/gZvIZggS93+DcLRmaGhx56yARhCq/uofxMd0QhnnlhH330UfTp08eE2WDNFS8yRiJqAHPyVJxVSSd1yldHwMKOrPsjwGf9gAVfAV3u86kblYOyfv36+ebD53/uum15DVDAf/OtVC5Z3kRUFjVrXKWuz9rBgfa6PVsC/zfgSyia1urhElEXfAn0etpnTaHz9MK2vU1I5fE1acUc9GzcwWftEcIfoUtiwoQJ+P33323CjwIjL+jpruGtL90RPCdzMJuy+q9zn22nWJpyceDAloMoZ4DrPMdUBM76uVBodXAXVN2X1Coke6JKcnZFVRYm4cL9MWXKFBvoDx061HLIMWcbB5Is5EWnixBCiPRh38c+kOfSv/76C4ULFzbRlOdZindVq1a1EGwKehJN/UdUpdjJok8UJOfMmWOi6gcffIDQ0FD079/fBFX2ibk9uchiWd9//725Tt0/+7LLLku6zxQQdDTXrFnTXtejR49cbaPwHySiBjDMSRmfkGCh/KWKBvhFd43O/7lRp70ODHgdeY5DW1x5KYkPKqVnhUolXHlh6ET1JfuPHbJQ/gIhIaheOg+ngcgpra5ziagLvwZ6PAaE+K5AHXOh9m3eDaPm/m25dysUL40GlWr7rD1C+AMUDul6YP4uFk5gdd1Bgwbh888/t3ybHHzkFnR6MOTNvXqvc0uBkG11FzGdheIu3aSpCZ7OklLcpOg6duxYK/TA97rvj9TEWMfNSiGXbYmJibE8bY6Qy1vC/cV96FRXdq+07P453oAiLreHC6sG0z1M99S7776LW265xSZxmX6Bt3KoCiHEf/DcTlf/119/beJptWrVzMHItCmtW7c2FyGFU57Phf/BSU86Q7lQjKQISUGVxakoqLI/vPvuu829OnjwYOsLeY2TmYlPuoy5frqQ3eHfGeUzZYQIRVROULNd6cEUBPys9evXS0TNw0hEDWCcMOa65asHxwxb94eBz/q73KjnPOwKafcBHLQ5iaZ58vb2gCoJClgMYazRDSjh367KCsXLWofGnKgsCBRZ2DcXK+vPuFCrlqqoUP6cUK+P6/d2fC+wZhzQYIBPm1OzbBW0r9MCs9YuxPil01GqaAmUiVLuIZH3YAga+yMuzqDi119/RceOHb3upqRQeezYsaRKvI5oSgGVAxVHfOQtKxrz1nF6UhD1JrzmYd+c1f6ZDlZHUHWEYIq/DLfnffb/bL8jqjLsk6H3vPXGNnE7mjZtasvjjz+OdevW2XfNAhg33HCDpQPgdUjXrl3P+r537NhhoYd0YHFbmO+WOedatWrl8XYKIYSvYF80c+bMZJOIzPVN4YvCafny5U2Uy83JROGZ/i8qKsoWph7q0KGDCZ7s2/h9z5071/pAft+XX345rrrqKnOCpgW//5YtW1pRKE4yO30+/77jjjvSfN/LL7+MF154wcT5zPSfFHwZQcLjTuRdJKIGKKcS4rFp7za7HzTFdFiJvlJLYPsCYM4nLkecj2Y5nap+HLDmiojK0MQFX7vut74W/g4Fy7KRJbHr8D5sP7DLZ07Bdbs2222tclV98vlBA52nza8Epr3hCun3sYhKOtRujt2H92LT3u34ff4EXN1lEMIK+m+KCyE8BQcR3333nTltWByD4W2sOMtQfW/l6eZAgyIiBVNHNOVCnEGO4+7hQrE0ECdvKUQy5JNLamHz7P8dsZgLv4s1a9bY40WLFjVBlfvCufW0sMpiJ08//TSeeuopG0BSNLj00kvte+cgkmGqHETSXUshnflUKaKysBUFWKUCEEIE0yQi+8Fvv/3Wznk83zGPJvN+c+KOrtNcM7oIr8N+mc5iLhRDKaZu2rQJ06ZNs/6wbdu2NllIMfWKK65ApUpnRyAyrdG1115rYigdym+++aZNlDrj+muuuQYVK1bEiy++aH8PHz7cXMw8xvi5dMUS51qH1wHPPPOMFY3kNRBTEDz44IPWDqYcEHkXiagBCoUrCqlFC0egbFQpBAUckHW8E/jhOmDOCKDLvUDBPFKde8tM4OgOICwKqOejfKxZpFLJ8i4R9eAen4iox2JOYM+R/TaQr1lWImqOaXGVS0RdNxE4cQCIKOlzsaNv83Pw9bTfrNDUP0tnoH+LcwJSuBEiMyLmpEmT8OGHH1qIIh0Zt956q124U7DzNAx5P3jwoLkpmJ+MwilxBELmkuMthcO89Jujk8XJ3+bugqJz1RGY6VqlYElHKx2qTFPA0D7eekrk5j7ngJHLa6+9ZiGGFBP4N0MN+VkUEOg8dWDRCyGECGR4Xh01apT1hQzvZiV3Cma8ZRg1hTOKbSK44UQt845yYb9H9+fatWtNUOU1EiM3WPCJecUpZjoFnjjpyAJWFEYpiDZr1gzjxo1LKja1devWZFEdzMXKSVKnCKQDJzI5ocn1MsXAF198Yf0/+12m4nnuuedyv/i08CskogYom/ftsFvmgQyqAU6DgUCxqsDhLcCi74A2Q5AnWPqz65YOwIKBkQPNEe/3HT3gk893iqqViyplBYlEDildG6jQDNi5GFjxG9DmBl+3COGhYejfoju+m/kHVu/cgJplKys/qggqKGR+9tln+Oijj8z5OWTIEKxcudIGDp4WTenkoWDKhffp4KGDkYNSCnN5TTDNLNwnjnvVCd9zhFVnn9IxxdQH3hBV+T3RhcyFxwjF1Pvuuy/JuUohnKL3bbfdhptuuinHnyeEELnNxo0bTTjlxBD7onPPPRe33347GjZsaH0UJ/hE3oTHQ/369VGvXj0T07dt24ZFixbZxDOvmSi4su/jwiKODN1PK3yfxaDc2bzZFdGYFuz3GeYvREokogYom84ISFWDrZhOSAGgw1Bg7COukP7W17scqsFMwimXaEWaJJ8JCwQRde/RA+aiyu1qx1v2uyYSqgXbb8CXNBnsElGX/OgXIiqpULwM2tdujhlrFmDC8pmWj7dYRKSvmyVEjliyZIkVFWIIGcPO6Gq44IILPOpsYBganRgMSadYSzGO4h4HpHRnMIepRNOcC6t0pjgOKsfZ6y6qclDnqQrRFBIoLDBkkUIujxenoBcfZ3oBJ2xRCCH8GY4d6LJnXzh+/HgrIMSiQgzbp7Oe583cHlsI/4X9pxMpQnGdxwnD8//991+MGTPGrqOYhu/OO++0UH4hvIlE1ACEYcwHjh2yk0nVUq6L96CCuRn/eRbYswLYNheo0hZBzYZJQPRBIKI0UL0LAoXiEZEILVAQcfGncOD4YZSO/C/80dtw8Oi4sauWrphrnxv0NLkI+PtxYMss4NBWoHgV+APtajWz73vHwd0Yu3gKLmvfTxfWIiAHjKzCzmIYCxYssLxes2fPzrASbFbWT2ckhdNdu3ZZZXqKphT5WLgokEXT2FMnsefYATv3Fw4NQ+GChRAWWggh+V0hfP4ABU3ua3dRlYIqRWzmcyMMKaQwQAdwTnL5cT9QfGfxDa7/k08+scrCTAHBkMObb77Zvm8hhPA36OL//PPP8cYbb9gEH132PIe1aNHC8lIyF6UQ6cEJQ0ZgcGH+VIbj83qKRaR69OhhzlVGbPBxJ9RfCE8iETUAccKYyxcrbYOJoKNwMaDxRa5q9XM/C34Rddko122jQS4nboDAwXiZqFKWn5du1NwUUfl5MXGxJuLSqSg8RGQFoFpnYNNUYPmvQOe74Q9QMO3XvBu+mDrKhNTZ6xejQ50Wvm6WEJmCFd+///57K2DAAeM999xjOb08UQQoPj7ecnRSNKWYxvMyhboGDRqYA9IbFeW9xZHoY1i0eSUWblqBFdvXWaqYvUcPYvehfYj9y1UEIiXsA4qFR6J2+WqoU66667Z8ddQtXz1X+6S0RFUWsOBC0ZPfPQXuVatWmYhOgZuCKpes5vhjWgF+x4TfN/PDMYetUyCDlYbvuusuC2l0z+8qhBC+4ujRoxayT/GUrvoBAwZY2D4rszNCIpD6K+E/sO9r3ry5uVN79uxpE9R0NlNEfeKJJ6wQFIsyKoep8CQ6WwUg/znwgjiMmblQKaIuHwX0fREID9JBQEI8sGac637DQQg0ykSWMBGVBZ4a5mKuSmcioUqpCn7lRAoKGp3vElFX/uE3IiqJCi+Kno06YMyiyZi1bhFqlKmMkhGeL7gjhKegE5T53V555RVzQvBCnqFnzN+VU8cpCyew0ALFUwpwFOLatWtnwmyguE0ZVTNuyVRMWTUXizevxPo9W9J9fcGQAsifLz9OxsclPcZICE6qcWHKD3fqVqhh54yejTuidY3GKODDSUp+J8yRyoUDPSfVAqsPL1u2zB6niJDZatMdO3bEmjVrkj3GqsHMGTdjxgwLkWX1YR57t9xyi4X/Ow5ZIYTITdhfvfXWW3jvvfcsTJ+5K1mch+IpJ5MCpc8S/l8YknnCa9WqZeH8F154oRWV4gQ2C0VRVGWUhpzOwhNIRA0w6GbYemCn3Q/KUH6Hii2B8k2AXUtd+RnbD821j+ZM1Y8//ph036swXQFD+em+rdoegUZSXtQjuVtcast+5zegUH6PU78f8Md9rmPz2G6gaDn4C/Ur1sL6PVuxZudGV1h/u36+bpIQZ8HiP6z4SrcNxU2KWQwpy4nLhn0/w7RZUGHnzp026KToxiILzLsZKIPQ6LhYTFg2A7/P/wcTls1MJog6Oa5bVGuAplXrW/7j4uGRWLFwKS7qPwglI10CMUXkmFMnLcQ/Nu6kCajrdm/G2l2bziybLWc2zxNc3hv/tU3CdGvQFhe16Y0ejTr4fPKNgzgO9LgwtJVi6qZNm6wKMI8Zfrd0EqcVhkg3c4cOHTBs2DBccsklli7g448/toX7iO4uLqxuzeOPVa0p4FPI52cKIYS3YSV0pq/59NNPzSnI80/37t1Rp04dj0RiCJEa7AM5aciIDaZLOv/8801M/eKLLyxKgzlTuXDyUojsIhE1wDh04iiiT8bYAIDh/EELB4TNr3CJqIu/z1URlQNdJqbOFVaPdd3W6R1QofwOZaNcHRAHsRzk58ZAngPoXYf22v3KJV2VkoWHQ/ortQS2LwBWjXW5wv0EHl90lW0/sNvyQs9Ym9x5JoSvQxVff/11E0954U4XKnO95eS8yKJBFE7pOmWOTQ4MmP8r0Nw7FDcpZv6x8F+7hnGoXa4q+jU/B61qNEHz6g1Qskixs1IhHFi7w0RQZ3uZ3iOiUGFbSMUSZdG8miu03eHQiSOYvHKOCbb/rphl106/z59gCyffru92ES7vMMDW62voTK5Zs6YtLEbF73r58uW27fy+K1eufFZRqtatW+PXX3/FI488gmeffdbcXW+++SauvPLKZOtu27YtfvvtN6xYscLcOI0aNcJFF12EZ555RmKqEMIrsM/iOebrr7+2YlEUrrp27WrnHFZaFyLX0s6VKWMLI0CYPoJRGmPHjjVx/7bbbsPDDz+slDciWwSeapPH2Xloj92WK1bKp6FpuVYpfNxjwI6FwL51QOncCxfPNRwRtX5fBCIlihRDgZAQnDwVh8PRR1E8Isrrn7n/2CEL4SxUMBSlimom2yvUH3BGRP3Dr0RUEh4aht5NO2PU3L+xaNNKlIxWjiPhWyhu0nnKgSLDqVk8igPHnEwUMdR78+bNVu2dAwDmv2Tuy0ArkLBs6xq8+dfnGLt4sk20OZNfg1qdi0Gtz0WDirW8IgazL7qgdS9bEk4nWJ5VpgL5fuaf5lJ9+ue3MXz0xxjcrg+G9rgcNcr6RxE9CgwsiMHjiEXCKEbQTcqoGBZcoaDKkEXSv39/WzIDB5BffvmlCa7PP/88GjdujCFDhli+ODpfhRAip7C/ovP9/ffftz6QIfx0zFM8zWre59yEfS7HFiySe+JkNI7Hcjlht6y/wIm7kHz5kT9/CEJ4P39+hIcWRrGISOtrip+55bhE+CcUSpnyiNdSnNyePHkyRo0aZVEaFFKZQzw8PNzXzRQBRJCrcMEHi6qQisXLIugpUhqo1QNYOx5Y/B1w7pO58rEs1EGHB7ngggu8l+icwvD+9UBIQdd2BiB0RJcqWgK7D++zC5DcEFF3nJlIYEGpQHJiBRQNBgD/PA1snArEHgHCvP+9ZoWaZaugSZW6WLx5FRbvWYtLT8XlqNK1ENkhISEB33zzjRXzYUg9qw337ds32+cl5lDdsmWLiacUS1l1ltWKc5pD1Rcs2Lgcr4351FygDn2bdcWt516JVjUa5+q5m/1U65pNbHlw4M0YNWccRkz6Cat3bsCXU3/FdzP+wJBzBuPevkP8wplKuH846ONC9yhTOPC4YFEqFqqi85TFNLIKhdgRI0ZYbrjHHnvMxA2mBrj//vut0IsQQmQnYoJO+JdfftkmaCikOmH7/ljMh0aMXYf32Zh6x8E92HV4r5lBckqRsHBUKlHe6jUw5R5FVuFf8FqN0TycqOzWrZuF+X/33Xd45513LG/q9ddfr/GEyBQSUQOMHWfCmCuUyAMiKml2mUtEZV7UHo8zji9XXEXMMUZY/MFrIurav1231ToBYYHb0ZYoEmUi6sHjh3PVjV2+WJlc+bw8CV3fpWoD+9cBGyYDDc+Hv9GtQTts3LMNcQmnrLBZkfAIXzdJ5BHoqBwzZgweffRRC+F/7rnncMUVV2TLJepUbd+4caO5T0uXLm254+g+DcRJooPHj+DZUe+Y45OwENQFrc/Fneddi3oVaviFk/2qzoNwZafzMXPtQrw7/itMWjEbH034Dj/N/gsPDbwZV3Yc6FeRPjyu6EDlwuONuVOnT59ug0G6aBjyT6dUVqDblS6c2bNnmwuHTmqKqrfeemtAivZCiNyHKUc4KUOHO/ushx56CL179zaBKiIiwu/cpqwpsnzbWsuhHZ+QkOx5ukhLR5ZE0bBwRBQKN0GUCx2niUhEwunTFtXg3NKlyrQxTBXDW6ap4WOcnONCioVHokqp8qhZtqoVQ83qeVp4Dx6fFFM5kXjOOedYBBFT3rz22msWVcS0N4F4DSZyD/+5ShQZwpAC5gEkLLiQZ4rchBYBDm8FdiwAKrdG0EBxitTuiUDGcZ9y8Jwb7Dy4NykPnvAidc51iahr//FLEZUXvMylGHkkv836C5EbUHR64IEHsHr1ajz++OMYOnRotpw2FE/pLly3bh2io6NRpUoVc+7428AzK9vz05y/LEzemVC7rEN//K/PdVYsyt/g4Khj3Za20C371E9v2cD6oW9fxudTfsHwyx9Em1pN4W9QOG3atKmFJLJoC49D5k+lmEp3alYdNAxvnDRpkrlxmF+VbjJOClx11VUa8Ash0jzf//zzzzaRSHGSqUGYWoTnJX9ztHNssnzbGqzcsR7HYk4kPV60cAQqFi9nY4lKJcpZerCcnPPoZGV9iK37d1rxW7pbmebs8NajWLp1jQmzDSrVQqPKdZSKzI/g8cqUE3RN9+zZE6NHj7aiUxRUX3nlFXOrCpEaElEDiJ1nXKjFi0QlFVQIegoWBur2ApaNAlaMDh4RNeEUsHmG637NwD5BMy8q4UystzkRG20XJRwAy4nqZSjuz3wfWDeBV8yuYm9+BovrFQlVDiPhffbu3WuOvR9++MFCn1mYIDsFMpgCgIWDKJ5y8EkXBAVUr0U85AIb92zFg9++jOlr5tvf9SrUxCtXPmTh84FA94bt0bleawvtf/XPT7BqxwYMeu1W3Nf/BhOBmQ7A36BYykJUFE/37NljxxMXCql8PCvCPvtT5oijg+z77783MZXO1Pfee8/SSQghhMPKlStxxx13WLG6yy+/HAMHDrRCiix26E9wTDJjzQKs3rkxKR93WGgh658aVaqNcsVKe9RpyIl95vvmwsk5pgzYfmAXNu3bbm1grtV5G5bawnRkjavUtZzg/hT1kJfh8cuJbEZp9OrVy9L68dju16+fFaFiGh0h3NEvN4BwwpgrFc9jRQDogqOIunI00PtZvxRzssy2+UDcCSC8JFC2IQKZEmecqEzInlv5UDmLqwTuXoZpJjiJcXQnsGcFUK6Rr1skRK5D0fOjjz6yUGeGfHEAyVyl2cm1zZyWGzZsMMGUrodKlSoFvNvvt/n/4N6vhlkoY+GChXBv/xswtOcVKBhgA0O294ZzBuPCNr3wxI9v4uc5f+GVPz7BtNXz8f6QZ2zQ649QBGBhKC4s6rJ27Vr8888/JsxToM9KoQwei0xLMWjQIAwbNgydOnWy/HAsRFW8uJxTQuRljh07ZmH77777rolL7BfbtGmD8uXL+1XYMwtCzVy7CMu2rbGJSsJQ+kaV66Jm2cq5JlqGFihoBQu5dGvQFhv3brNUArylKYoLU8q0rdUMjSvXkZjqB/A4Znoc9qcsxshrvq+//trSUzBf6t133618qSIJ/WIDCOb9I2WL+ddsn9epfS5QIAw4uAnYvRwo3xgBz4ZJrtuaXXMlz6s3oTOaHU9s3ElEx8VazjlvwdyrxF8HtEFFwTCgemdXTmK6USWiijzGrFmzcPvtt9vgkYUHzjvvvCyvIy4uzvKdcmGoPh07vED3p0FndjiVEI/nR72LjyZ+b3/TefP6VY+iaumKAZ+e5t3rn0LX+m3w8HevYPa6Rejx/FV4/erH0KdZV/gzJUuWRPv27XHkyBFzpU6cONHcMxRTmQYgs1B4pXB67bXXWsViCv4MbbzuuusCXvQXQmQNujgZgcFidBSY6Mrr0aMHateuna084N4iPiEes9ctxryNS5PynVYvU8miDMpG+XbczGiG2uWq2cKIOqYWWLBpuaUXmLBsBuasXywx1Y9gP8cijDzeWdiRkUeffPIJPvvsM5tEoGNVCF0NBRB7jxy0W193BrlOoSJA7TPV61f8jqDKh1rzHAQ6dPBEFi5i971dXGrfUddvoExe+w34Mi8qYV5UIfJQ6D5zvJ177rlWXIA5J7MqoNJ5umbNGnMF0iHYunVrdOnSxe9cO9lh75EDGPzGHUkC6p29r8EPd70V8AKqO4Pb9cGEx75A06r1rXDI9R8+hDfHjkwKC/X3HG+tWrUyFw0Hg1OmTMGCBQss925WoEjiDB6feeYZdOzYEQsXLvRau4UQ/gUjLyiY0oF35ZVX4u2337bJFDrz/ElA3Xf0AL6e/jtmrVtkAmrFEuUsJ/fFbfv43Zg5IizcUt3ceM4l6NGog+VmdcTUEZN+xKod6wOin8kLhIaGWg5y5r5///337RqOkRqXXXYZduzY4evmCR8jETVA4MwV86lw8FU6sgTyHA0Gum5Xj0XAc/IYsH1eUORDPbu4lHdFVCZtJ6WL5sHfgC+odWbyYuscIC5rA3AhAg0OXCgY1a1bF4cPH7acbwzjz0p+SYYPsnr6hAkTLFdl27ZtTXwqXdqz+dd8xeItq3DusGsxe/1iq1z82S0v4bELbgtK90z1MpXxxwMf45Yel9nfL43+CI9+/5pVZg4EihQpgmbNmpkIQuhMXbZsGU6ePJnpdfCY5aBx1apVVnSDIf7Mh3j8+HEvtlwI4UtiY2MtBzirl7PvYuj+vffea053fyp+yD57/sZl+Gra72ayCC9UGOe36onLO/S33KT+DPvMFtUbmpjas3HHJDH1z4WT8POccblSZ0JkDqazofvUyRfOaA9OJLzxxhuW8knkTYLvqjfIQ/kpVgVarjGPUKeXKxcqw/mZozGygldnnkaOHJl03yv5UDkIK1YFKJ713Hr+SIkiUdi8bzsOHfdep89UAcdjXUKeKlvmEiVrApEVgaM7gK2zgVoKYRHBCSud33jjjSYWffvtt1ZoJ6uDOToTWC2dwhPdC8EQtu8OQyWveu9eOw/XKV8dI4cOR82yVRDMMK/dM4P/h8qlKuCJH9/AyCk/22Tee0OeRljBzIvrvoTh+RRDGNbP45sCP++zAFVmC5pxHc899xyuueYa3HTTTZaW4tNPPzW3qxAieJg9e7blQmbuR1Yn5+SJv4XuO7lPxyyajK37d9rf7It6N+lsTs9AgmJq82oNLJR/3sZllkKG46nPp/xiIf5tajYJyknKQIPXcsyHz2giJ8T/rbfewi+//GKaAX8jIm8hJ2qAsPdMGHPZqJLIk0SUBCq2dN1fO8GrH8ULB4arcPFKAmmKUaRKWwQLJYoUs9uDXpw5dUL5i4VHqqhUbkEBiHl7ycapvm6NEF5znzZu3NiK8TB0PysCKt/P8H+GTNO5ygtpCkvBELbvzpSVc3D523ebgMr8p2MfGhH0Aqo7dAt9eMNzJqqOWTQJl739PxyJPoZAgmH+7dq1s4XHLMVU5up1iq9kBh7f//77r7nSBgwYYDmD5UoVIjjcpw899JA57hg9QYHIH0P3yf5jh/DN9NEmoNJY1KtJZ1zQulfACajuUChtX7s5rut6EaqVrmRpCWasWYAvpv5qRaiEf4X433LLLZYfldd6jPiQKzXvIRE1QHDCmMtE5lER1T0/47oAz8+45YyIWrUdgoUSZ8L5D3gxnH//GRG1dJRC+XOVGl2S5/EVIojcp8x1yorDLJwxYsQIE5oyC8Ujunbmz5+PSpUqmWOHToVgK77z95KpuPr9+xFz6qTlcPv69tdQJMx/QjpzC4aJfnvnmygaFmFuoSveuQcnTsYg0GABKoblcyC4efNmE0WZeiKz8PhmSP+SJUts0oGu1MmT1T8IEajMmTMHLVq0MHcd3acM5e/WrZulBPE3dhzcg+9m/oGjMcetsO01XS5E06r1gmbSkhGnF7c9D/1bnIOIQuGWJo3by0JUypXqP5QoUcIm3J9++mk88cQTePPNN+03s379el83TeQSwXWlnxdE1LzqRHUXUddPAhJOee1jWBBkzJgxtvC+R2EY//b5QedE5YUMoTMnK66WrKB8qD6ixhkn6s7FQIx3c94KkdvuU4qfWS0cxX6BBTcoHDE/HMVThkf7m1vHE4xeMBE3fPQI4uJPoV/zcyyEv3BomK+b5TM61W2JX+/7wCIiOKi98cy+CTQoONBBQ9c0w/pZeIpCSlaKT/F9kyZNwv/+9z/0798fd955J06cOOHVdgshPO8+5XmA+U7pPmXKDvZn/ihKrtu9GT/OHoPYuJOoULwMrug40NKJBRvc9/Ur1sL13S5C3Qo1bFw1ZdVczNu1EjFxsb5unjgDr/kaNmyIm2++2VypTOFEVyp/R94aCwv/QSJqAHDyVFxSrsnSedmJWqEFEF4SOHkU2DrXax/DogscEHDJSgGGTLFnhauwVKGiQNmGCBaKFAo3dwo7jeMno70azp8nC6v5kqiKQKlaQOJpYPNMX7dGiByxa9cucw+w2vj3339veR0z6z6l+Lpz505z7u3fv9/cfHTheSV3th8wfc0C3P7ZU4g/nWDOmI9udIWz53UaVa6Dr+94zcTkSStn439fPBewAyYO1qtXr27Fp3gc89hes2ZNpsMS2e/fddddWLx4sTlT+XuYOVP9hBD+zqJFi5K5T1k0h2Jq0aJF4Y8s37YWv8+fYGHuTCUzuF1fhAf5hB77mAEtulvhqZD8Idhz4iC+nv47th/c7eumiRSu1L59++Kpp56yYqSvv/66uVIZ6SGCF4moAQBzvxBWwo0oVBh5FoZI1j5TLXz9RAR0KH+lVkD+4HEtcSAVGeYK+2GIjafhANX5HUhE9aEbdeMU+BUKbRJZYPz48RbCXKpUqSznPnVC9ykUMUdc586dUayYKxd0MLJm5yYM+fAhnEqIx8CWPfD2tU+quIUbrWo0xoibh6FA/hCMmjceT/70ZkCHWhYqVAjNmzdHhw4dbKKBDtOshPjTuUZnNnOknnvuuXjppZcCVlgWIpjheYquOU4CtmnTxu/dp2TDnq34e+k0a3uTKnUxqNW5eWZCj98JC09d3qE/IgoWxrHYE/hh1hgs2bLa100TKVypLDjluFIprLJP/fXXX33dNOElJKIGAAeOu8SjUgpj/k/M2TQdAcnWOUGXD9UhMvyMiOqFYhssWJVwOsEumhhGKXKZqh1ct1tmwZ8I+fkGNN/4EXBwo6+bIvwYht8/+uijuPDCCzF8+HB89dVXmRZA6chjRXMndJ+OPRag8tfBpifYe+QArnz3HpsQY2Xgt697MujyvHoC5od969on7P6IST/ig3++RaDDgV/Xrl2ThfjHxGQu7yuPERacYpE1psvgJAULWAkh/INDhw7hoosuwrBhw/Dkk0/6vfuU7Dq0F38smGiTMowCYBGpvNgfsSZK58rNUO9MeP/4pdMwbfW8gJ68C0aYc9zJlTp06FArzsZoDY9Htgqfk/fOQgHIwTOh/MGY9yXLVO/kut2xAIgLwNxb2+a5biu3QbARWdgloh7xghOVidVJiSLFglq88FuqnRFRdy0FYo/CLzi6E/lW/YEqB6bLkepFPvjgAwvRjYyMtIV50/7666+k5z/++GMLW+Jz/G0ePnx23txq1arZc+4LnWruUHRhUSbO3FO48RTbtm2z9o0ePRpz587F9ddfn+lzCAecFE8pBAV76L4DCyWxiBTDBWuUqYyRt76MsIKFfN0sv+WitufhucH32P0Xfnsfs9YtQqDjHuJfsGBBC/HfsmVLpgfrrVq1wsKFC22igs5vvj+34HmF7WeeVgf+/lOefzi4dYfnhzp16qBu3br4888/c629IjAI9H6QMJKC62UqGlYSv+GGG+x49+dr6kMnjuCXuX9bRET1MpXQq0knv26vtykYUgB9mnZFhzot7O/Z6xZjzKJJiE/wcP0OkSMKFChguVEZmcHQfkZ2MMpj3bp1ufL56gdzB8VmBQDsRBwBKc9TvBoQVQk4st2VF7XWOQgYYg4Bh87kR6nYDMEqoh7zgoh6+IRLuCseIReqz/KiFqsKHN4CbJsL1O7p6xYBi75HvsTTOFCkDiJL1vR1a4IWFl7iBVnt2rVNRPniiy9w/vnnWz41JtRnIRoWZeJCV0taPPvss7jpppuS/nZ3vmzduhUvv/yy5SjdsWOHCZ0s3JRT/vjjD3MB0HnDyqnh4eGZdp8yL+TGjRvtgpJhjnnB+cLv967Pn8WSLatQIiIK39zxOkp66bqDn0VnBgub8JZuYT7GhS4b5/7Bg65c2MwtRkHPufjn9+HcMhQ9LCzMbn1R3OvG7pdgydbV+HnOXxg64glMeOyLbOWvp3OFuXrd4WBm9WrfhG1yfzJn4u7duy2NBfMBc2BYuHDGaaWYZ5i/Z4pCAwYMwP3332/ON29+P/PmzcNHH31kYldKeO7hOcjB/VzA44+D3ZEjR9oxN2TIEPTq1SvoJ0xE3ugHeT6lkMN8jVdffbUtnOjg79vfJ/R+mTPOCimVK1YaA1v2tLygwQK/F6cPdPpBLrz+SK0v5EQWYSqiIiEFUCuiAmZvXoqp+/Zh7cb16Fm/PaKKRCb1hc5tIIvO7733nuXrZR/ECbl33nnHUlCkBvuaL7/80vYPadmypTmu3V/P/cjfAV/LiY6OHTvaBAl/1946b1x66aUWvTRixAhrE/uoyy+/HN5C/WDuIRE1ADjguPAi5EQFOwO6URd/D2yaFlgi6s6lrluKUSyQFWREhbsuBo9EH/faREIx/QZ8R7X2wOItruJSvhZR6Yha9LXd3VqqMxr5tjVBDQUQd1544QW76KSrhYNHZ6abjs304GCRlUtT4+jRo+Za40UfX5PZ8OG0iIuLw8MPP2wXrVm9YKX7lANjinNdunQxZ1Fe4Yupo8zVQrfLF7e9guplKud4YOgMDt3/5sLviBfqFEY52KNzw10cdZZ9+/bZeumeIikHl7x1PoM463MWZzCZ8jF+nqdgO4df8SCWbl2Ntbs24bbPnsL3d72VrQE/f1MTJkxI+tuT7cwu/E0yzJ+DU7pKmfctMykt+Dzzw9G1d8kll1iY/zfffIOKFSt6vI3MWXzllVfa4Pj5558/63kOFtM6//DYobhLgdjZ53xMg0cRyP2gc9689tprsWzZMjz33HO2Hf6c+9SB5/a/Fk/GoRNHLYXXha17BUwOVKdPSq8PdARTwvOMe9/Ec5HT/7nf57UIjxFHGK1TtpoV1pq8bj52Ht6LXxdOQOcqzYCERPuMU6dO2ev4+rT6Qfe//e2Y+OGHHyw9zIcffoi2bdvaRHjv3r1tgrtMmTJnvZ6/PV7r0fHJ7WHqJoqAK1asSOpzOEnx9ttv2yQIoy2eeOIJWycnK/geb1CkSBF0794dZcuWtUlRCpXsR5mLOLMT+5lF/WDu4vurM5EuzAN55EyOSTlRz1C98xkRNcDyou5cHLQuVFI0KZzf8zlReSFFSsiJ6tu8qPzd+UNeVLph969HYsFw7CzRViJqLkGHxE8//YQTJ06YMJIV6OLhII7iyxVXXIF77rknSSCiKMOBI91rvGDjBWB2YTEc5j7lAJQ5HTPrMHB3n/I9XPKC+9Rh1Y4NePrnt+3+4xfcjtY1z3YxpBzk8jigm+PIkSN2e+zYsVQHhs6AjYPAlI9l5EzkQJDVo+mcokCaXnvSEm8pJLg/xtfy2GOOW4oWzkKBI7tOSRb9ZKGp814agmmr5+O1MZ/hwQH/Oc4yC9uV1iDHl/D7dFypixcvtuJTdAZlxpXauHFjzJ8/3waPXAcLbXCg60m47n79+qFnz56pDh4p3n799de2bykkcfDsDGB5XNL1V758eRMS+H5/zhEpfEsg9IOEv9OBAweaaEoBiuG8nAwJBBZtXoFNe7ejQEgIBrU+FxFhnhWbPCmYst9j/+f0hRQ6eYykFCl5rmQ/k7IPzOx1Br9H9oWMjnH6woZoiBZNmuHnOeNwPDYaWxIP4JKO/aw/YhtSm8DktREni90nNHkM8rhz+kLep/jnS2GV7mk6J3luJhRTx4wZg88++8wmyVM7x7vDSfRffvkFEydOtMJp7Pf5O3j88cfNRU7oXKW4+dtvv+Gyyy7z2rbwuoK/bRY1Zb5xCrl0wf7+++92LvAU6gdzF4mofg7FI56kOQNXxE87EZ/nRc3n2VkSXrywsp5z32PsPJMrrUJwiqhRbuH87Kw82fnKiepHeVG3zwfiTwIFfBgKttBVwCWxwQDEh2Q8iBc5gy4WDhZ5wc0La4ogDRo0yPT7mVSf4gkHcDNnzrRwR4owvEh2+PTTT80lwAu6zAgzqcE8jLw4poOUF9CZXQ8HPhRc86L7lDBccuinTyD21El0b9geN3W/NE3B1F005bUJ9xUHXXR68D73eVYGhp6C/Y0zME0PbgsHjTyW6drgdjB0lk4UphRwtscZSPLvzAqrdcpXx6tXPmxO1DfGfoZOdVsm5a7LLMyZVqFCBdsO/uZefPFFjw6ycgoHX3TV8JxANw2FVIYsZgQFa4YJ0r137rnnWlgmwwU9AcOf+dtnGGNqUKxinknu16VLl+Khhx6yCZNRo0YlvYYhnnQT8rjVwFEEcj9IKPLy98VQYuY+ZRhxoDjK9h09gCmr5tr9bg3aoXRkCb8UTLlQMGXf4/QXdDfyPs93udUHMnXMpe3744dZf2L/sUP4afZYXNK+n7lUeRxl5Hak2Mrtcvr1DRs22Hax/Y6w6tzmlrDKPprXZO6pMdgeioOzZmXOyMEUG5yEdSYONm3aZJOAXIcDt4suV67TmyKqA/ugwYMHW59JnYGTw+yHmHM/p6gfzH0kovo5jnhUPCLK76z2Ps2LGlkROLoD2L4QqOzZSvec4eNsjtecqEEqohYtHGHHaHxCAqJPxnhs5jgu/pTNsBLlRPUhpWoDEaWAE/tdx3KVtr5pR3wcsOJXu3u6yaXA6gAsMBdgMASJrhZeZP/8888WHsjQ3MwOIBmS5eAUZ7rllltMIHLPy8aqptnlxx9/tEEjZ9YffPDBTPWXFNSYa5PhXnR50OGRl9ynDnSgrtm50Qarb13zuAmmzoDKEU3dBVMOABjCyr8DbX+5hzdyAOWE+fFY4KDL2ebUhFVnIJmesHphm96YvmY+vp3xBx78ZjgmPP5lpgtzcTD3+eef2++N4grzo3bu3NnC6P1pQMPfL0UZtpGpL5hygW7TjFIPcN/fdtttqFevng0kKUox311OUhawcNzdd9+Nf/75J00BnSkFHNhOOm1YNItiAV1BDvx+hQjkfpDnaeZWZqgwXa4UhurXrx8w40cWSPpzIQslJaBm2SpoVrW+T9rB/oDCIh2b7oKpu7BYo0aNXBUW04OFpymc/jBzDPYdPegSUtv1ReHQjEPU2Zc5E4cU2VITjClA8rjndro7VilQUjD2NIweobhLl6g7/DuzOcIpElIwdERTCqjOOlKu03kuN6CoTVc49x/7e6YToDOVkx3ZRf2gb5CI6uf8V5VcB3US7KwqtwZWUESd73ER1SvEHgEObAzqcH7mf6Nb+ljMCRyNOe4xEdUpKhUWWihTFwTCi787CqerxgDb5vlORF0/EYg5DBQpi8RqnYDVf/umHXkIDvYoMhKKJ5zp5iCN+UazA8UiilMUMDkwzQm82OfsOS9CORPfv3//TL2PDgUOiA8cOGDtKV26NPIi45dOt1yo5O5OV2LBrHm2b3ghzaVy5cp2wU0RL9AE06zAwSEHg1xSCquOoEzRcNWqVTa44/FCVyaXlIOWpy66CxOWzcT6PVvw9rgvMx3W36dPn2QiC49LDmo5QZCTAZa34CCMA0GG6k+dOtVcNZlxcdPJOnfuXAs15gQGc98VL148W22gW2nv3r3m8HPg98P20Onj5Hlzh/uVrF+/PtngUYhA7QcJnfUsGkU3GgvqMCojMy5xf2Lq6nnmpgwvVBi9m3bJVXGS1xIU7yiocaEbkucl9oM8TzgOU18LpmnBIpCXtO+LH2eNxd4jB/DT7L/s78xO4rnjiMVcUhNW2SdSWOUkGkVkpy/k/vKH/cO0GbweZJ5Ub+U6zQnsk9hnsb9kP8qJf7pDX3vttWxNKqof9A0SUf2cg8ddTlTlQ02Biai/ucScrKUkyhCeeKZNm2b36QLxSDXZnUtct8WqBGVRKYfIwkVNRD0Scxzli5+d+Dtn+VA1keBzKrX+T0T1Fct+cd02vgAIokqtgYRTPCi7ULzkRXpqxQGyAi/oOWikU4/hWJl1BNFdQuGHF//nnHOO31cp9gbMi7Z52xbc98UL9nef2h3RrkbTpCJCwSyYZkdYpaPF3aHE3Lt0f3Dgw4GmM4jkoIhFFl+49D7c9MmjeGfcFzi/ZU/UrVA9y5/PQTvd0Rzk+CsMOWZuN4YFcsBGwT0zRac4aONv9qqrrrLqyaNHjzbHXFahk4aOVneY141uVzqRUrt+4/mHcPAqRKD3g4SCFkVT/h5fffVVc99ld2LCl2H8CzetsPt9mnaxvJ7ehkIpz+UUTSlCOTmpmaaE+Ss9Mv7LRUoVLW7C6Q+zxmDPkf0YvWAiLmrTO1tFDtMTVh044cr9xv3HIms879PZyX3I4zq7UQbOvud34w7/zihnOI9/iqgs0Oheod55H9fhfu7n304xpdyE+4q59xlBxX3GNB6MfuGkYlZzF6sf9A0SUQMknF8iaioiKqGYw0rdHoT5jjiwdmZ2PRKq4IioFZoimIksHIEdrDJ6phiaZ/OhKpTfr353viAu2iXikiYX+6YNeQzmpKJDjsIIxaNvv/3WZvf//tvlAHZcG47Qwws5uhb5el4IUiiZM2eOnVP5OP9mmCHFk5wM8jhopJONF590tWXmopMCGAtH0U1I508gVCn2FNx2hiPyu6Kjkvf/2jIb+04cQoViZfDuHc/nyqA10HGqJHPhAIgiijMIZz5TutU4WGtTqSHObdwR/yybgQe+eRG/3fdhloVpXn8w1I4TBf4Mt4sCKMOQ6YKjm4uD1/QKgRHuQxb0YAoO5prkuaVv375Z+myeU1iQxx1es7EtfJz7z1kvH6PozfMPcx+7D7CFCMR+kDClwEUXXWQhwkyX4VQnD7T+adLKOXZbt0IN1CjrvTzQPK8639fBgwftPMRzNs/nFAgD/ZqAQurFbc/D9zP/xJZ9O/DP0hno3bSzV7aL53hGbnDhpAInqLlfKQbSHUkx1JlgzEqOXydlDItCDRo0yB7j+vn3HXfckeb7KES+8MIL9rtkZIQ7zFfLdnAdjmjK6yD+Lm+99Vb4CraJ6W0Y3cL8yJxU/OOPP7I0qah+0DdIRPVzDjjh/HLhJYdiZP4CwPE9rtyo/s4e1+wqyjVGMEMHDjka47k8lU44P/MCCx9TsTmQLz9wZDtwdBcQmcszmGv/dhWTK1bV5YqNj8/dz8+D0GXAyqYU3jjA4AUXL1BZHMapmMrcjQ68KCMsInPdddeZy5NhVczTRsGJF7K8eHPPD5dVGELGAe3FF1+MN954I0OxxnGc8H0MQ+MgM1CqFOc0qoLpCvjdUejjPqA7hLncjiEWf/79sr3uhcvuk4CaTXh8Uyjhwv3thIPS5dGrbEtMXz0fczcsxZdTf8V13S5Kd13333+/Vcxl+OTOnTstTQUdJJdffjkCAR5bFHI4eKaw07p16wzzq1GA5aCXAz0OJHOaGy61wTgdSazKzFy/TE9BwYkVmoUI5H6QMNUHHWc33nijtY/iUKC5J8mGPVtN8KNjsku9M5P1HsJd3OPCFC0U9yj8UajLSQEvf6VsVCkMaNEdo+aNx7Jta8yE0q62d92WPJdToOPCnOlOxAbzi3NSwRGruWRGrOZvg3mHKYZSWHTO4TzeCY93fofMKUyGDx+OJ5980sTCatWqJeU5ZcSRk7eWRZNYdZ6COX+DnMBjlIkj1PoK7pvzzjvPJlSYHoTRHRRSeesJ1A96B4mofgwr5cbGuUJF5MJLQcHCLkFy5yLkY15U+HnVyT2rXLdlM1/JMxApWriI3R6LPe6xdR5MKq6m34DPKVTEdQzvXu7KR9xgQO5+/orRrttGg1w5WoXXYbXg9OCgkEtaMEcTw7w8xaRJk+yC99FHH810ASlezNNtwAtpijyBUqU4O9DJQ+F0y5YtNuDnttKty8E1BzccYPM1g9+8E6cS4tGjUQec19Q14Bc5g/uW+5oLRRYK9pvj9uG9qd9h2K/vo0q+Eqhdo5YN2lITOrZv326CKb8/ulJYsZe/nUDK10sHHCcp1q5da2mRmjdvnpRjNj243dwvDEnmwJvOv+w6p+gQdOBgkYKuEMHUDxLmOuTv5IEHHrDK2xSGAtFFmXA6AZNXzbH7rWo08th4l45T9oNMu8I+j+dluvtyEmYeSNDNy/59wrIZmLZ6HqLCi6B+RVdO39yA7kgujPhxT5tAVySvSzhZyMnHtFzTl156qRUtpDDK9/EaZty4cUmFobZu3ZosuuODDz6wz+HkujucjHR+m7xmpIjIIkvM7co+luv0B+c29wlFU+4zTvKz4NR3331nE6vZQf2g9wn+s0gAcyzGJUSxmE5ogYydNnmOyq3OiKgL4PHEqJ7k9Glg35lqgmV9U2kytyhSyFVM6nhstMfWKSeqn0EHKEVUhvTnpogafxJYO951v+HA3Ptc4Tf89NNP5up577337DYz8MKd+U/pOgikKsVZhe4mDio4aORAghfNHCCk5vj4ff4EqyDPghPDLr0vaPeJL+E+ZU7Thy65DaNXTMa2A7swbccSJMafNlcOvx8OIt0LMdGpFizbznQZ3DaG93MSg39ndJx17drVBnp05HDQTNeMcvMKkRwKghSW2A9SIKKD2yn+E4gs2rwSh44fQUShcLStlTO3JKMBOHnIfpCh+nQ9UsDmRFRe7OeaV2tgY6j5G5fhr8VTERUeiQoeqleRVYGQfR4Xfke8LmNBtdWrV5soSucoxe2U3xFD99MK33cXCQnXlxFc/7PPPmuLP8L+jvl4mZaDYupll12Gd955x/KmCv9DIqofcyTaJaJGnnH3iVTyM875BPm2zwPK+7GIemgzcCoGKFAIKFEDwUyRMEdE9Uw4f3xCPE6cdAmykWdSBQg/+N3NH5n7eVE3TAZOHgMiKwAVW+buZwuf8/7775uLgEn3+/fvn6mBJvPTseANHQyBVqU4M3Ab6dTggJGiE90LLCTAQgFphXTGxZ/CC7+9b/fvPO8aVC2dsUtQZB9OgD8w4Cbc9fmz+G7+WPzv+RsQHxNnAz4Khk71Y7o1g80dxeOQxTnpAmfuOYoZGW0jB5AzZ840Fw7dqV9++WWeLPwmRGrEx8db/saxY8daGowLLrggw0I7/gyjIeasd9WM6FSvJQoVzF6UCCdqeE6l65SCHUU5hoHr3AF0a9AWR2KOYd2uzfhjwURc3eUChIf6znnJaxNGHXBhagVevzD9DQVOOlPZHwZjioXMwv3A6zim6GD0FNN+UHR++OGH8+REgD8TXFdsQcbRGFdxnshwiaipckZIyUdXXLnT8Fv2ngnlL1036KuJOyJqdFys5SHKqYvk2BkxtmBIARQuqIshvyoutWMhkBAPhORSN7LyD9dt/X6crs2dzxR+IRTSbUPXzT///GMFaDKCTgdelDM/JcOjAq1KcUawIi4HiyySxUE13R0sWMIL7oxg1V66IktHlsCt516ZK+3N67A68rt/f4W1uzbhwwnf4qGBt1hqBVayZwg/v8cVK1bY4JGO6fBwVz8aDNCNSofpvHnzLLy/bdu2GW4f98GMGTOsCEa/fv0watSoZI5dIfIiMTExNrHAoj3MA8nJxEDP7b1y+3pEn4yxegqNKtXJ8rUBc9UyPJwpUCjKMXcmz60Sm/6D+6JP067Yf+yQOX7/WjQZF7bp7Rf7iH0BI4QYqcDvkkI4CzRyAo6523nt5g/t9AXsB5kTltd1zOPKiXLWAFB0hv+gb8KPcYrzRBWWAy9VStYAQiOQLz4GRWJdCaT9kj0rXbdlgjuUn4SHFrYOjwJqTFysx34DzLWaVztSv6NUbSAsyuWudgqmeZvTCcCqMa77DRTKn1egQHjLLbdYcQ4KMJkRUDnQnD59uuW9ongTTAIqt2n58uUYP368iagcePTq1cuKOGRGQD15Kg5v/vW53b+z9zU+daPkJVgs5eGBt9j9jyZ+j31HD9p9OqY4UGSeXoqL/H5ZOXju3Lk2AUCRIBjgdvK3S3GD7ltuW0Yw/Pbff/+1ASMnCOjEESKvwsJIPNfzvD9s2DDLCx7oAirPbwwzJy2qN8y0OMRJRE488VzJYpHcDyzwxSJRLBilscLZ0OF7fsseKBASgo17t2H2+sXwJ/jd01Hdrl07dO/e3RzEs2bNwtSpU+2Y55gyL8KJAYb08zc/evRoy33M1E3CP5AT1Y85Eu1yojIZtEgFujrLNgS2zUVU9BaPrZaVnl9+2VW1ODNVnzMtogZ5USmnI6SQyhD84yejEXHGmZpdnLQARQtHeKiFIsfwQrdiC2DDJFdIf4Wm3v9MFrGKPgCEFQOqeaZapfBvOFC6+uqrsXTpUgvvpdsyI1jIxynEw7DgQKxSnFahKLpt6NTgQIOCVHYcGt/N/AM7Du62yr1Xd/ZtNdq8Rp9mXdG0an0s2bLK3KhPXPhfnjd+j05VY4Y3btq0yYRUunQosjLUP9CPZV4bsNgWHaX8jfI+QzfTgznh/vzzT8t/zGrnFFUzU6RKiGCCkw4UCfl7YC5HikzBEO5MMe/g8cOWm7tx5bqZmiBlP8jw74iICJtETKtInzib0pEl0bNRR4xbMhUz1ixAheJlUbVUBfgb/G4ZpcGQdgqoTMnESA06M7kEc2HQ1OD17EUXXWT7hY5UpvBgdIY/FMPK6+QZJyrzo/BC1X156aWX4M8cPVNYyql4LlKhfGO78aSIyhM0q11y8cjJem/eKCp1dl7UaI/9BiLD9Bvwy5B+ipu5wbqJrtta5+Re+gDhUwGVYYurVq0y51pmBFQONOlAZV/PiuDBMLBiYQwKyBTUOIDu2bMnWrdubc6brAqosadO4u1xX9j9u8671gpWityD39e9fa+3+99MH40TJ2NSfR2FUzqL6TpjeD9DGykeOhWmAx3+Pum6ZXEtbltG28RrsK+++srSctBZzv0gRF6BOa8pmnKChWltKKYGg4BK5m1YardNqtRNNxcqCyVSRKPzlJNMdCvyXMDrgmDo53OTxlXqmmDN8+6YhZPS7If8AZqYOInYo0cPu6bjNd6ECROs32DKprwEi1QOGDDARNSdO3eaE52TCsK35BkRlXAGj1X7nOXOO+9EQDhRFc6fNuVdLrio6K3wSxJOAfvXuu6XCX4nqruI6hSEygnHkiYS5ET1SxE1t4pLrf/XdVurR+58nvAZHDBdcskl5jiheMRZ+IzgRSXdbY0aNcpUFXB/h0UyKJxSQKXjlAPnBg0a5Gjw/O2MP7Dz0F6UL1YaV3ZSSgxf0LNxR1QtVRGHo49i1Ny/030tCzDRdUMBhcc0JxRYjZhh7YEupvI3TVGUv3GKIxltD4WSESNG2L6geEInmhDBDn/rTGXB6INHH33U3NjB4sLbc2S/5eamQ71F9UZppvNZu3at5UJnlEmnTp2U89QD9GjcAaWKFrcx2oRlM/y+P+F3XbZsWeszWCxsx44dJqayH8hLYf50onJy9emnn7aopIEDB9qkgvAdecrSQydHVqoYMu+Ee+4JVhd1XDJcsoPzvozezwq6J844+VhQJ7ufF+zkK13fDuKo6M04FRfnkXVyhot5dkiOHU37VqNgwikkhkYgPqIcv3gEApk9TlOjUIFQ69gOHz+a4+OWSdC5rvCCYQH/G8jJPvU7yjWFJbrYvw6nju4FCnsx72TMYRTYPh+8ZD5VrUuy35An9mlQfB9BJKAybInhzHSgcrCUESxEwDyhzIfGYgSBDJ0FDF2j246hznSeeiJki+fQEf/+YPfv6H2NhU8K3+RGHdLtYjz181sYMelHXNXp/AzFAKdiMcPYeawvXLjQrmUpqgdyTkQ6azp37mx573idzWut9HIi8rkPP/wQQ4YMsfcxRzKdukIEq4DquC0feeQRExA9kl7MT1ixfZ3d1i5X7SyTBPurrVu3YvXq1TZxSOE0M5OpInOwUG/f5t3w9fTfrdjh6p0bUb9iTQQCZcqUsWOBE+ecWFy/fr0VpuK1X14Q1hmp0rt3b9MlnnzySSu+OHbs2KAqRhlI5CkRleH7zz33nF2QMjnvPffcY7P9acHqh88888xZj7OoQ04PWM6spcexk9FYt3UdCuYvgH9xJpRVnEX+03Hoj3woFH8M48b+jJOhxXK8ztjYWEvkTL7//vscDWLLH5qPNnQVFyiDKX/9hUAjo+M0NdYc2IJ1B7cibu8xHFq3K0efP2vLAhyPi0bJ6ELYumw9goHs7FN/pEehsihycg/m//YR9kY18drnlD84F20ST+NYWAX8O2MJAC6e26eayfUPKGbzvMtq5ex3eZGcXtg63RN0qdDN5hStCWTxmCFqFI850Uv3UWYKRWWWqavnWf45Rglc2r6vx9Yrss7lHQdg+B8fY83OjZaXrlO9Vpl6HwdNNWvWtOtXDhzpUuZgkmIqRdVAddZQHKKLnAvFkvSuySkscZKF0JVKZ25mUn0IEWgh/Axh5rF96623miM9mARUiqQ8/5EGFWsl69MdcYwwb3JeEcdyG+ZFb1erGWauXYgJy2egSsnyOa5hkVvweOCkIo8NulGZN5/XT+wL84LYzokFnhM4uUJd6/zzz7eiU8GS5iOQyDMi6l133YUWLVrYoIwXnzz4GNL/+uuvp/kevubee+9N5kRlp0Y7NZPjZ3egyAE/w/PS6xQ37d2GHYWOonRkCfTtpEFPeiRuGY58+9eiW70SCKl3Xo7Xxwq5Dpzx4YV+dsk/Yz2wHois2dJmjAKFzB6nqVFx62okLp+JGmWqoG+rntluAy+oNozfj1MJ8RjQpR9KFMm5QB6o+9QfCTk5Glj6E9qUz4fT3bx3bIeMHm+34U0Hou95fT2+T50IA+E7GLbHiU2KiMx7xsqsM2bMsOcYop9yEMVzAy+cd+/ebSJMdvtjf9huVhmmKEZnHreFt57m8ym/2O0l7fqiSJhSo/iSyMJFcGm7fhg55Wdzo2ZWRHXgeY7OGw6iOIlAIbFSpUpWhCMQB1GcpGaYJtNX8DfPfIf8/aeE1+sLFiywcM5+/fqZuOQIqSo2JYIF5n2kgEqBiCH8/K3Pnz/fJlGCZcJg28HdVjOBERHVy1RKEo5Xrlxp0Rg8l3GyKD1nusg57Wo3w4Y9Wy21wvhl0zGo1bkBJVjz+GA/yN8Fr6PYh1Dj4W/GG9dR/gId2jQbcLKd/SfD+y+88EL8+uuvKjaVywS0iPrwww9j+PDh6b6GM1o8IbuLoZzdYl6ZW265xdymqV2wET6e2nO8iM2pCJLROk6cirUTRPEiUUEhuHiT0+WbWN7RgvtWIqTxgByvz31/5/i7PrTJbvKXqoX8Afg9Zmf7i0VE2rF7Mv5kjvYdC6EkJJ62dZWILG4hKMGAJ84ffkGVNiaihuxcgBBvbQ9zNW2cZHdD6p6b5ufkZJ8GxXcRwDB9yjXXXGNh7MyB6oQoU1hJTUili4UhzcyRxrDeQAxjcsIVuc286GWxKG85KLYf3I3xS6fb/eu6ulx8wrfccM5gE1H/XjoNu5intniZLK+Dxw2vZelO5XUuJx9YtKlOnToBlzeR52CKp/xdszhchw4dkgnCjoDqnrLjgw8+wE033WRC6tSpUy1nnhCBzOHDh21CmCHL7iH8LMQ2Z84ce00wCKlrdm6w2zrlq+HY0WMmnh46dAi1a9e2QkLpudGFZ9PL9GnWBV9N+x3rd2/Byh3r0bBSbQQaPF7Y77H/48Qi+xBG9FBMzYkJyl8FVKb1YR9J8wDPF7yepJB68cUXm5CqMU3uEdDTPPfdd59dPKa38IScGuyU6ALhweiPOAV16FoQ6ZNYtqHd5tvrCgHxKw64LhZQ6r+QlWAnopBr8HM8h4WlnN8Aq0gHi4AaVFQ646DavtAldnqDfWuBI9uBAoWAah298xnCZ9BRevfdd5tAwkIBpUqVSnqOF78UUimgMOcpX8uLRb6WhZc4wAw0AdUJV6RYTPdp48aNrViIN0PQvpz6K04nnkanuq1Qp3x1r32OyDy1ylVFm5pN7HgYvSBn6Zr4O6E7kxMK/F3Qmc+BZKBVL6bTjtvBSRROnjiVh1MTUAknVz/55BN7T58+fRRRIAIaHu8sFMM0LhRQ+Xt2xBD2DxyzLlmyxPJlBzIJpxOwZtcmG3+fOhBtgldUVJSJQRTCJKDmLqUjS6JDnRZ2f/LKOWZeCVQ4ecgJd06ssT/hdRYjloKl7kFKAZVwspHR0U899ZRFcjFneF4qtuVrAlpEZcdCl2l6S1oz8osXL7aLMM74+SNHol0CUlR4YOa6yk0SS9Wx23wUXPyN/WfyeJYMjKTdnsAJFz1xMiZHVR+PxrjSKmgiwU8p1wgICQViDgEHXY5rj7N+guu2agcgNLAEM5Exw4YNw6hRo/D333+n2he7C6nLli3DvHnzcPz4cbuITCuCxF9hrm2Gm3EgXKtWLbvQr1ChglfD51ig8psZo+3+9d3kQvUnBrXuZbe/zvNMjmwKEcwNTLGFQj3D3OnuCiT4W2jWrJlNplBc4YAxNQHVgdfwI0eOtLEAwxndC8EKEShwwoPpbDgJwghLdwHVIViE1M37dmDPvr3YuW0HykaWtNQFDRs2DDj3fDDRumZjlCxaHNEnYzB99QIEOpxcZ6FCFmbj9SLFVObTDjYB1X17OQnB9B8suPjQQw/5rJ15jYAWUTMLq3+++eab1vkwb8Y333xjRaWuuuoqFC/uxarSOcBx8UUUknCQEYml67ruHFgPnPYj98XJY8DxPXlORKUTlYMhzoaxU84uR+XG9m/oDi3f2HV/u5cuvNb/67qt3cM76xc+Y8SIEXjllVcwbtw4C8NKCwqpFIdYQODgwYMBJ6ByIon5q3ghT3cExVNub27ke6Oz5MCxQygTWRK9m3T2+ueJzDOgRXcLp1y8ZaXlwPcUFCDpbmbYLx2dDJUNJFcqrx2aNm1qjjxes9NZlJqA6kDx5ZdffjEnKtOCyIUjAgn2D7fddptFWzz22GOW5zAtQTHQhVS6bcdNm2B5Xzs3a4fWrVoHZB7nYIP9UI9GHew++yPmSA0GKDby2pGGOuYVXrRoUUC6UtMTUB3YX7LuCs8hX3zxBV599dVcb2deJE+IqBxwsco6ZyU44/XCCy+YiPrxxx/DXzmRJKKqg8mQYlWQkK8g8sXHAoe3wu9C+SNKA4WDN8l1SigOhIcWTnKjZpfjsS4natHCwZXTJqio1NJ1u2Oh59d9KhbY5MrliFoSUYOJ33//Hf/73/+soijzOqYHRRGm5qGYynMLQ5Vz4nDPbfcp3bN00dJhx9Dj3BSARy9wObkHtuyBAkqJ4lewaGjnM0WlPOVGdeDvhKGxFFNZsGXKlCkB5UplwTgKLXSnM+2FE9qfFhxAjhkzxgbJPK8EyvlBCOYy/PPPP/H4449bWG5GKWoCUUjl75GToJxIPBh71CYRm9Rq4OtmCTeqlqqAehVq2nc1YdmMoDmHclKuatWqNnnNfiTQXKmZEVAdaAo8//zzzZH63HPP4auvvsq1duZV8sRVdYsWLTB79mwEEidiXSKqKulmgvwhOB5WDlEx24C9q4ESOcv7xjAa5hdx7mebPBjK71AkLNwmAiiElokqmSMnalH9BvyXii2950TdMgs4FQMULQ+U1QV3sMBwoyuvvBJff/21iTzp4eRAPXHihOVApYsgtWJT/pr7lPm46AzkBXxuu2eZ22zckqlJIqrwP1gNmW7hX+eNxz19r/f48cxBF0ODKUTyd8MaAXXr1jVHtL/i5EDlhAOLg1AsYtuZ1iM91xrFpfHjx9tgk85V5pUUwp95//338c477+D5559H//79MxRJUgqpgVBsisIVf8MsmtWgcUOsXLLTHq9cMm13ufAN3Rq0xca9W7Hz0F4s37YWjaucifIMAth30JXKgp50pTKVEq8h/bkIU1YEVAdOPLLAFK+Zhw4datefzBkuvEOecKIGGsxjxoXIiZo5jhWu4LrjgbyoDKXh7DCXHOXpyYNFpTxZXMpxsVKQFX5eXGrXEiDBw2Ey688UXKnVndPJnl238Al0ZLJ4xuuvv45BgwZlKETSWcY8cbyI5Lk4tWJT/gbzMtJ9SgGVYcmtW7f2SfqBSStm43hsNCoUL4NWNc6k3RB+Rd/m3VCoQCjW7d5sxVa8gbsrde/evX7tSk1ZRMoJ7WexqZkzZ2aY85QON6YHGT58OD799NNca7cQWeXnn3+23IV0jTGfb8mSWTMb+LsjlX0zBSs6/9h3cyIxroCrvy5VtLjGtn4Io/6cIlPT18xP0iGCBceVypQZjiuVfWKwCKgOlSpVwmWXXYa77roLl1xySdJki/A8ElH9OJQ/tEBBFCqoZNuZ4VhYRdedfWvgNyQ5UfOeiBp+5gIpJi42x25s5QX2Y+iyDotyOUb3rvLsutedEVGVDzUo2LFjB8477zzce++9uPnmmzMcgFEkpdiTMgeqPwup3EZemPNi3Skc5St+n+8K5R/Qskeu5F8VWYf5vtvXaW73p6z07kCHAzEKqRUrVvTLXKkpBVQH/pZYJITtZ0QZq3qnB9ODMF3I3XffjbFjx+ZCy4XIejTGddddh/vuuw+DBw82x3V28FchlQIVhRueY/h7ZjQohdStB1wu1CqlfNcvivRpXq0BioVH2gTswk0rEIwwZQZdqYzK4IQ3C437U67UnAioDjVr1sTVV19tecL79etn0SjC8+jK2g/hyYtopi7zHE9youZcRGUI6YoVK2zJUZGCJCdq3gvnDw8Ns9vok7E5dqI6gqzwQyjOVGzh+ZD+o7uAPStcDtSa53huvcJngyo6T5nzjbnfMoIXfBQkeaEbFuY6l7jjb0Kqu/uUIo6v3KcO0XGxGL/MlU/4/JY9fdYOkZyXXnrJREHm7XToWr+N3U5e5X23CMV0DhzdXakMs/VXAdWB+4xCTIECBTB37twMr8tY/4CF6y6//HLLpyyEv8DcoHSeDhkyxI5POuNygj8JqY77dNKkSRYmzYlEd4F4636JqP4Oc6d3qudK0zV3wxK7lghG2KcwcoGu1OjoaDtm/cGV6gkB1aF+/fq44YYb0KNHD4sAY/FF4Vkkovoh/4lHcuBllmNhZzrlvWvYk+d4wM9cKVwyKmiQKRE1D+ZEdYTP6Ljs7b+E0wlJLtYIhfMHRnEpT4qo6/913VZoBkRkL6eu8A84sLrppptsUPXhhx9mmPeRg0wWj2rXrp2JpWnhL0Iqc5/SfcrP56CRTj9fM3PNQkSfjEHF4mXNWSJ8D0X2jz766KxCat0atLPb2WsXWR7b3MDdlTp9+nQTGn1V1T4jAdWBeVzbtGmDuLg4S/OR0e+d4Yx33HGHDR79NX2ByFswTyELvzBP8bXXXmtpNjyBPwipLKLouE/pHOfv2T0d2slTcTh43DVhU7FE9py3IndggSnWsuB3NmfdYgQzjiuVv0XHlZpRtEMgCKiE19osaMrcqCw6xVoE/hR9EgzkicJSgcZ/RaUkHmWWE2HlkJgvBPlOHgX+z955gElVnW/8oy4svSO9g3RQEBQRFAU02HvsJfaaaNTYEjWWGKP5xx57iUZjV0QQpFcBQUC6VOl9YZf6f35n5qzDMnOn33Pu7nmfZ54ZltmdO/eee8753u/93m/7GpGqhk3L87eJ7Apv3Gukl2kOIiqmqUTVv1emdBmpWM6cosvBFImq/VBdKX/Q8be//U0p3tigxlNn0pUb31QCwurVq8f925pINdFsSlcsELTi20jpvi2Nrsb+NKWwUYQtxxQJNvKodwm8Ix+U1HFeIch48JoxAaZPn66INL4PikqeUSaiVNYPxhfP/Nym771jxw4VwLz88suqiUwk2jVoIfWq1Za1WzfI1MWz5Nh2PXw5Jq1KRSnGud2wYYMiKf1UUCdKoGqQiCG5AvHLvdehQwfP60yHYuaT8847T5X2My4cHEyAuQziFGLxhhtuUORGJucok82mULPzuXgXk0iM1ktiw/bNhXGtrlRzsBOMSyokPpg0VGb8PFe6N+8g1XKrSHGFVqXSlIm1ELsN7iUI1qASqJHrPH8T65A77rhD7rvvPvnrX/+asb9f0uF2FBZ7orpy/sSxv3Q5kZrNQupPSvpNk6hbwtng3JoiOcV38YkFvUlK1RNV3wO5ORWsCoYdPEhUPFELdojkVE7v76GIWjQq9Lq1K0UOMr788kv5y1/+ImPGjInr+7Zp0ybVNRUVCwFhojBBpKKG41gh/igd9lLMmsDoeVPVc99wqbjfQMlB6RjBNdUcnKdI0hSylGsEYaeJTx4E35ogjXxeuXKlItV5HUmw8ncYN5F/m59DthYlVnkQnPB3/LZagDTBl2zAgAGHkKg6YP3vpK/ku7mTfSNRNapVq6ZUqag7SXYQPPIz2whUDa4jyiECXa5j69atY76X8fL222+rIJIA8h//+EeGjt7BITlw35NIfOKJJ9R4ZI7KNEwQqdjuMHeQkGnVqlXMtVeTqLWr1Mz6MTmkj6a1G0rTOg1l2fpVMnHBDBnUta8Ud0Cacm9S2cRaSFIx2YZvNhGoGqyTlPSzBtLMrlOnTspKxCF9OBLV4nJ+11AnORyo1UpKQaJuXCLSsp/Zg9myPPRcveSpUDNRzv+rL7C7B6xHlfoiVRuIbFstsvoHkebHpPf3fpkpsnNjKPnQ2F9CwSFzoET4wgsvVF2y8TP0AoQbTWNQlqVSDu8nkbp9+3YVpFapUkWVZaKOswnrtm6Un1YvVt+/T7sjfSFMt27dqghTHrzmHLFxh4wjMKlcubLUrl37IFKT50SuEUQpJGqLFi3inmvIVd5flLTlwbFhFUFJLZ8PmaofHGc0791M4L333lPqFgiUWEAxDIk6Zl5IQew3IHQgMxcuXKjISRIZ2bSlSJVAjbzfUaRyvzOOmjRpEvO9BKU0miIgJnjEi9LBwU989NFH8uSTT8qjjz4qJ554olSsmD2BjF9EKnMt5M+SJUvkyCOPjJsk3bB9U+j4qjoSNQhgbT6mzRGKRJ2zaqEc3ba7aoRY3EHiDcsd1o2JEyeqvSQq1aASqBrscYYMGSJr165V9lokH7lvHdKDI1EthCaQXDl/cjhQIzzRbVpi+lBENi8LPdeIvbkvKeX8bLaSJTR+TSQ4NXZg1KhzV4us+j59EnVhuJS/RV+RMnYRVA6JAXUgXoQ33XSTKqX1AmQXAV/z5s3VI1X4QaSyAUWBCqHXrl07K1XyY8Kl/J0at5FaleNbIiRbhq/JUv2gVB0iSxOS2BrwDCnp9/nh81CzRisn1YBkjSR9sWMoSqwScFCa6vV3EgF/my7xw4cP9yRpe7Xupp7nrlqsGnmYKHfl3OELRyAHwQkRjros09cwXQJVg+sEMcrcAVEPSe/VqfiDDz5QQSTfiXnCwcEP4FNKGT/N5FgTmVeyjWwTqcyhJIaYI1Cxk1CMh/XbQiRq7So1MnosDtlDw5r1VBMwGoJNWTRLBnQ6WkoKIE5J/pL8JMnPfhKCNYgEqgaJUfbj+PjT6JXvls4a7OAaS1kJV86fIgpJ1KUWkaglW4lKg6iCvbtTvgdcIiEgaJhBX1RNojo/1EACoo2mLqhKKeX3AqXXbOQgrSAl00W2mk3xd1Dpcaz4n9L11EYCNbKUP1Nl4ZDcdFymK/rQoUPVOVi/fr0611zjk046SQYNGqSUgVxDNuUorWw9P6hZIdwoPUWJQYn9ySefrEg9SvcghfHb/Prrr5X3JtcdsiAVQBbS8Vd3ludBmeA///lP9Vo3eTiseh2pW7WWWi/nrFggJoGiDIU1BDDXOpNNNjJFoEaSRQS3HCcdlr2AV+Pjjz+uOqNTguzg4EcykUZS55xzjloT/fQpzVazKRJOqNWZuxIlUFk/fy3ndyRqkKATfLNX/CQ78vNS/jvPPvusIiZJJjIu2U/EAuvvWWedpd7PPuLpp58+5D0PPvig+r/IRyb2kJFgn4Bd08aNG5UqFRunoBKoGiQRqcagKoO1MJPfqSTCkagWwpXzp4YDNVvYQ6IWlvOXTCVquTJlpXzZcin7oup7INfdAyWruRQN2VaEN1etHYkaRFCyyObwrbfeipu5p+kLqhZIpkyRbpkmUgkWUd1QttinTx9p1KiR2IyJC6ar574pkqicL0hDXdo9bNgwWbp0qSK6IdcGDhxYSJhCuGWzNNUEsQrBh38YZbdcawKo7777TkaMGKHGEw2YEu1kz99hjNPxVz8gbmkyxWvti8jY79I0FADO/HmemAZBHcEj9yZjIB5BaYJA1SDQRmGD6i4e4Ys3LYQ/NiOmOjA7lAwwj1522WVqfF511VXSvn17348h00QqyTP8zfm7rAGJKvV37SkojANqORI1UGhS6zClSN27b59MW/JjSn/j/fffl9tvv10eeOABtZciEc0+ggRjNLDeUO3z2GOPedpEkMRlXdEPkp6ZBlUO2raJBCiq1KASqHqvwRqMMp6KnHvuucfXzy9ucCSqZUCJsFOTqE6FlxQO0FhKk6hpBM5Mln/4wx/UI2W/u83LS3Q5P8gtH/ZFLUiFRHVq7EChYTdW51DyYEf0jVFCWDpWZP9ekVotRGqmXtrtYAYEWJCo//3vf+MqVCDmKCsiyMt01+xMEak0RWJjjvoGUokSYpuB2mflplA3++7NOyb8e5CCkIOcq2+//VaRhpCHKKcgE/nuKBggUm1VmGYakMMQIJAFgwcPVgEbpCKqR1SqEIIoGvlZLHAPoJSMfDA2UbzyOhJdm4VIlpnL5ooNgCChgRPHSvDI+LCNQNXgXHK8BOhe9zpjF0UUwftDDz2U8eNwcNB45pln1Hi88cYbVeLE1LyZKSKV9ZpEBWQwKrZkSpvzwgpGbL4QWDgEB4zbXq26qtczf56bkijmqaeeUj6cl19+uRo/L7zwgiInX3311ajv79Gjh/ztb39T6m2vJpDsGyFZ9cPL0iUd8DkcE/shkopr1oT2WEEjUCO/D5+P1dBLL72kGsA6pAY3m1kGTTixQJnwxQo0UH2WKi2yOy9E5FSpl9KfYTPOBJ4Wtiwr0Y2lQMXyObJlZ2rNpQoTCY5EDQYqVBWpe7jI2rkiyyeLtB+S2t9ZOCL07Er5AwdIFhRedB/u2rVr3PdSsgVJw2Y6G0jXI3Xz5s0qaKxbt65STmSjm3KmMWv5T+q5Vb2mUqViJc/3QjbxHWm2BMnFnqNevXqKLCTwzjSxHWRwLiD/eOjzRiA1f/58RQ5yvpo2baoCuVR907o2PVw9/7AsdA1ta7JB47dUmmxkm0DVx0mQC9nLNfEq68TnDmUUQSTJAcr8HRwyCXyz//SnP6mS4/79+6ftrWzSI5UEG2p67mOdVEkWrs9H4udaN0KkzJp/s97oZzzZAY0WEfjoMnb2Jowx3bAx096dzes2Vg3B8LWdvXy+9GzVJeHf5Xsw/999992FP+P4sNGhRD4dUC2DBzvfm7FJAt+ryWA60HYBrIXc3/iH05wpmT2lDQRqZIKX5PDixYuVZzOVMbZXWdkIt0u2DNpzBPKopCg+MoYy5UWqNQ4RmBuXpEyipo38rSK7toReV/fPA8lWX9SUlKj5ztIicGh8VAZI1LAfausBGT00h+yCTT6liwRq119/ved7UXWi5oOQSSUg84NIRbGDcgfvU8rKgrIW/7AsVAquS8NjBTUEYZCnlM2xcUZtWaNGjcB8T5PgHNEchgeqGsYzilSSArNmzVIEBYQqZF00oPKNhi5hEnXR2mWybdcOqzohQ5wSdOFjl0yTDT8IVA1IBOYflEIEqATXsQAxjDoKWwXucxIlDg6ZACWyNG8hoYgfarbXuGwSqfhha19k/E9TTXg6ElXUOWTu1CRp5IPzrIlTABGqyVDWG/2sqwG0p7MmV7Ec4m9E/j7EoiZV9WseVFgwlyeTFFYl4M07ytc/jJEZP8+VI1skrkTmmDk+ErSR4N+QiqmCsfz666+rChnWmT//+c+q7J5qmkR8elMF6wr7Su4jrieCgUQSzjYRqBoQzqh9OTbmq5EjR7rkeZJwZ8syOD/UNEEJMCTqpiUizXqn9CdYmGikoSeZpLN6W8IlM7m1RHLsCYRMlfMnW/7BpsCV8wcQTY8SmfZaiERNBRsXi2z+WaR0WZHmfTJ9dA5ZxD/+8Q9FIs2YMcOTiCOQgIjBwzBZRZtfRCpKNrLzdP4OGrmiVYydmxxKoqKepCSTAAxbAjqWExC4TXP640urUvAMhJweNWqUIlmbN2+esDqVhisNatSV1ZvXyYJflqpA1SZABqHcJHjkgfLTa+z4SaBqEJzyeSiFuC7YT8QC5aVYV1x88cWqYVqm1VsOJQ/sXX/3u9+pex51F3OCTUiGSMXKhjWTe4gkWzrrxA7dKDbHuzqiuACLF8h0Hlu2bFEPGhZCaEJiakITUpp1IpLw9FKS8ne/+uordQ2jWc0Ru0Kmcu00MasfHAvPJE7ZhzFXcm3ZC/DMw4tYPbxhSxnz01SV4Fuw5mdp1yDcg8QQUFFGJsU4JyQvsZK68sors/rZnCvWQvayqGm5P7ys/2wkUCPP3TXXXCO33XabIqKdzU1ycLtny6BLnx15lCLwUlzyXVrNpViACH4ACx+b8aSwOVzKX6PklvKD3JyQHUWy5fy79+6RPftCTR+cL3CA0OSo0POqGSJ78kXKVUhNhdqkl0hO9jLJDpkFAdn999+vstjxPENR6rHZLOoHaQORSgDMZhcSjAZStm12k1OiHl4YVEFmQQqjmiApyOY/iN/NdjCeIN15EMCSiEUVw4P9BAFevLJeyiYhUZeuW2kdiQoI+rk3NJEay8/YBIGqAYEFeYWCjrEeK7jleuEHR1M7LEjuuusuX4/TofiB8YSlBN3ETfqgpkukoq6fMGGCmssgWdL9HrqyrDgqUTVhqslSXhM3QopqgpKkMa/5WTYB+QpJ69XskX0ORKo+ZuZq9j18DxSc+pj1syZWy5Ypq/YVNK6cvvTHhElUfEr5G9qKQIN/ezWNShYcL8nMRYsWiR+A7IYUhUjlXsFOINr6bjOBCli/WdPxR/3jH/+o1kysFhwSgyNRLYNW7WHA7ZACdDMalKim4EjUg8aw9jdNNmudU668M6EPEmq2EKlURyRvvcgvP/xKqiaKRbqU3/mhBgVswikHIoNNYOYFSCU2zv369TOi+vIiUgksUNJS5s57slkOli2s37ZRftmyPuTddVhzWbBggVKecq6xJGCTn3KjRIekAyyIPNS+eKcuWbJEKZwhLPhZrFL/5nUayfj538uSdel30s4WGEMobyBhoqlwTBKoGgTTlJGStIEkjUUCQRLgj0rgSCko976DQypgrNGBHC9UfHazTZhli0iFAGSNpEohWR/xWNhRkHeQxVfQAQnJvM6DeYb5HhKPB/Y4fhCmqYLryV6Ih7Y8Yf+DeEgTwezTWK8ow2esQHZSft+1aTuZsugHWbVprazZsl7qV68T9/MgFlkLUP2ffvrphcld/k3TtUyBcUuymMoCvwA5TMUSlQ+aSI1shGU7gRq5Dp5yyimKgL7ooouUP2omCe7iDMdQWIZduwvUc4VysTvSOSRCoqauRE0bdCjXja5KMPSGSY/pRJEX9k8qLhuuEgM22xCn874IlfQnQ6Lu3S2yZGzotSNRA4Obb75ZeVIRPHph+/btKsikBNhLJWGCSAU0ziAgIiMfi+CyHYvWhtadw6rWkQljxqtNOyoiNsM2KqJKAiCwCVR5EJxCplLqD2nBfVP0XkCJCn5ev1JsBuoVyFPUnpEqHBsI1EIPvyOOUP6zJG9QAccCisGHH35YBd/MUUG9/x3MAS9KyIczzzxTzjjjjEDYwEQjUqlW4H7mNX7PmVo3qC7TzWaDCEhG5m9NnLKfwd6EtZWmk0lXK1oGrjNVBjwiiVW+J9+X6hy8oyGHKx/IkXUFm2Xmz/NkUNf4JCpgf4i9BXMtpCNKbdTOl19+ufr/Sy65RKl1aQyl76e5c+cWvsaCCGKPublVq1bq53/4wx9kyJAham5fvXq1PPDAA4rUvOCCC8RP8Jnsa1n32FdCmEKgB4VA1eA8cu4471iSfPrpp27fmAAciWoZ8sOEk1OiplHOb5xEDQdA1Ut2p7vc8qmV8ztf4ABDk6jLJon0uTnx31sxRWT3DpFKtUXqd87mETpkCJ9//rl89tlnSsHppSxFzUCmnpLmos0FTBOpuikDahII1FQbZ5gGyo5p82aq13UqVlfBCkGy2wTbAwJQVJGoJOfNm6eUONwTKFZ1GWCLMIlqsxK1aPDIvc29hMIWEtI0gapBIMv5ptySpmlegSyljB9//LHqIP1///d/vh6nQ/ABCY/PJEQRyZGgIJJIRV1Jkoc5ie+QybVj77596rlM6cSbGZkG15N9gSZOWWMhx5mv2ccU96oOrj9zJg/WLPxUUahuWbhDps6fKWt/WSN1pLI0adhYEcpee0AareEXju0T55JmTF9//XXhfpBEV+TvQ4p269at8N9PPvmkelAxoBszUjUE6bdx40Y1jtm/TZo0Sb32Gxw76x49AcaNG6e+F8RvUAhUfb0551dddZXccMMN8vbbb/uq6g0qHIlqGXbhJcgGMKAZO+OoEW5WsnOTSP42kQoGJrBtq0PPVRtKSUaq5fza0kKTsA4Bgm7m9vN4mB12F8n5obbsn/jvOBgDTYowo0dRgILAC3hCQrjQ6d4WQKSywWVDzgYYi4EgEqiQwKj/IOVmLQ75oXZv2ykQSqiSCtQ0kI8om1B9jBgxQgXmkBfN6oQSr0vXrVDX1nYSXBOpkKgEkARhNhCoGtwHkLsQvXQXj9Uchzng1VdfVcH9WWedpeYDB4dEMH36dEXwPPbYY0plF7QGZZBOVGSgNESF2K7doU0J08W+/SEStazlJCpzLqQcykvWVUqzUZtCkMUjCos7SEqhVsRXfW2pbbJy3S+yZP1KWb9mnSKYdbPQWM38KN2PVb6viVEN/g7Xwgvvvfee2ATGBkk7PJFJRgSJQNUgMcA6yd6eKrMTTjihUJnsEB0ld0awFLr0uWKyTVkcQsipLFIx3Nxk6yozx7Dtl9BzVXuCCdPl/PEWxEg4X+AAo0H3UFOoXZtF1sxK/Pfmfx16bnNi1g7NIXNAucWGEeWNF8jG80AZaVMAwnyE/xNBEkQQXlrJzFE2AJXM2LFjlfoPz9MDuWUOKgl3sF+ZSqDFvcE9gjK11M4Q2UAH5C07t0kQoNRJW7aoLtPcR5Rf2gRUdQSHJHO8QJnoX//6V7niiiuUv56DQzww1i+77DI599xzZdCgQYEjTQAl/CThFDm2dq2sWJF5FfzecKPYMpb2OKAR4MKFC9UcjHKdygDIJBrsdOrUSRHNNu1fTILEHg2mSAYWVNgvAwcOVNYuEKnsRyARKWOnUVVJAz6yeMuSSGRfhno3aEBFiyUJ1xQyNWj7Yr/hZgXL8CuB5JSoKaNaOIjcaqAkjozrjjWh11VLdgZHK0nJQufvKUg6keCUqAEEm+TmfUKvFx+cXfZsxLZ2jkip0o5EDUgZP48XX3zRUymH5xU+Vqi7bFJ5sinEA5XyMkrAeKA6gWQJwoaRrro09KEEkw0vgR4qxqVhH02tZnQIBlBLUqaIGmzlsuWSG06gr9+2SWyH9kCFCMYig/ucsWlTAA35wfFRIkoJqBdQSuEHedddd/l2fA7BxUMPPaTKvil71V6NQQLJAjxQWT9QkVPajyI100SqrUrUTZs2KZX6N998I+vWrVMqXEhBiFMIcdsrAUyhQ+M2ypqBRpYbtm9SCTTGD+cOMh4SddiwYWos4ataEqA9UFkHqc4gScq9BUEfNDD+r7zySpVQeOutt0wfjtVwJKplcCRqBqC9SLU3aZKg5Ov6669Xj1jlXzGxY12ISGWzULlkl1SWLVNWypcN+QYlR6I6JWqg0eK40POiUYm9/6ehoeemvUVya2XvuBwyEnRgOv/MM894lvFDRlLeS6dam8qBOC5KqCF/UAHS2Ed7pNpOpEJMcU5Re1SpUkWRp6jsWKM4Zk2iNq/rSNSggWCd+4mu3rUqhyppRo0fo1RitqJoEylNVqLiwpsOcskWcJ8T5KMOQikUC7qs//XXX1cNwBwcYoGx//e//12uu+46RZoETalIkhMbDt3kLtIjNdNE6l5NopYxT6KimCSZMmbMGJXwoRqlf//+ag/AfoXKFAdvVMqpKC3rhRonz1m5qPDnKP4h5LFD4XziN0+pPucZlbOte6t0UbSJlPYXZZ9mW1IxEXAdjz32WKVEpeqMBKRDdARr1i/mYILRZJMjkNJAtXAQuTU1EpVF9dlnn1UPXieFbWELgcr1Q0RqCUeFcjkHqUuT8QV2iYSAAl9TsHySSPhaJkSitjs5u8flkDbYUEGUxDOcxxMKsqJDhw5iW7kVwSEb/MiOurYTqQQgI0eOVOVhEG2oFiPXJkq/tfd041ol20YmyICIqV8j1BhjfzlRgf6CBQtU4G8zgaoBAaF9IVFK20SkcpwotyGIvO5vPFTpEu3K+h1iAXUZZfw0zEF9F7QyftZmVHIkONu3b3+Q4jIbROq+8PxVmmojQ4DQw25k+PDhivQiaXXSSScp1R2l6Q7JoX2jkPJ63qpFUdcnmvlh+XTiiSeq1ySA2cMwpmzbX2WSQC3abIoEXhCJ1MiyfoQTxemaZRKORLUIEKh6oGryySEFVA+X828xUM7v/FAPgk4G5IfVpYnAKVEDjrrtRCrXE9mzS2TFFO/35m8V+Xlc6HW7Qb4cnkNq+OKLL+TLL7+MW8YP8YDHGpn4pJX8WQSeZ0uXLlWb3WhBk41EqlafUnJIqSEb2mjWCBu2b1bPVStWdnuHgKN2lZrqObdGFTVWCTpRH9uiSo1FoEYSqZAw3D9Tp061igCGMMG/NR45RHdimqjcfffdvh2bQ3DwyCOPqPF90UUXBa6MHx9XFKjYiJCMi7aWZ5pILRNW6eqyfj/BdaL7O36nPHfu3Fk1zCFZguLOITW0qNtYNcDekb9TVmwMx70xGlKxd4FMpYEie0PUqWvWrLFij5UNAlVDV2cwzkgqQuQHCcwPlPWzjr/99tumD8dKOBLVImgVKiXQlEI7pIiqDdNSojKx45fHI+lJfltY9l7Nu2N1SQGLLNjlyvlLDtiUtwyX9C8Y7v3e+cNE9u0Rqd1KpHZrXw7PITXlyk033SRPPPGEZ3k+8yU+qPhi1a5dW2wB5UioUHv37u2pGrKJSC2qPoXUiUVeaxJVl4I7BBe1qlQvvKZ4zVEayb2EKpVEgElSMh6BqkHyBBKGsRuvoZOfwGoAj2aOKV5Z/8svvyyvvPKK6r7u4KDBPfjkk0/KVVddFbgyfuYOCBHWQMhEr2RoJolUHc/qsn4/wNoNUYctB2v/4YcfruZS5i3ndZo+8ERte1gL9XruqkXx31+mjNoXQmDzTHIYMh+LqOJIoEZ+b+YJCFTsZIJEHOuyfqoyfv/736sEpMPBCM7sXwKgS56dkiRTStTUSNSdO3eqLC0PXieFrWES1SlRFSqGm2TkJ1jOzwLjSNRigMNPCT3/+AkXNfb7Zr4Xeu54pj/H5ZASHnvsMTUfsplKpIyfEkFbgIIPIoTSMsz+48E0kRpNfUpJmBc2hknU2lVq+HSUDtmCvob6mhKEYYtBsIaSypQqNVECNTIAg4RZtWqVCjZtQf369dUjXlk/qqnbb79dqVJtUtM6mAPjhWTi4MGDVSl40Mr4Wc9QorIWJkIkZopI1Q2l9u7zx95j48aNMm7cOLWONmvWTBF3eL868jQ7Jf0L1/wsexK8tqxnqIDxdCc5iK0EKk1bKi0ySaBGJhWxuSExzh45aGX9p59+ulLc33///aYPxzo4EtUi6JJnRx5lyBMVf1K/y0e0ErWqPc1UrFCiJljOz0K8N1zy4O6DAKPNQJHylUS2LBNZOS229cWikaHX3S7w9fAcEgc+Yn/729+UR7SX6sbGMn6869igswFMpsGVKSKVDsGoTyGiaXbhpT6NpkTVpeAOwUWlCiG7hrywx62GSVVqsgSqBtYTqHC4hzZs2CA2lSlu3bo1LjF0zz33KBU7jaYcHD755BN1H1xwwQXSpk0bCRIgfUhoQIomsz5ngkj9lUTNbjwGEcd6jwclxw1R16JFi0CphYOEhjXqKQuhgj275edwY8tEQZKNJDHXiCTx6NGjFentVSEQRAJVg+8IkcoemX1ekIANziWXXKKqM6g0c/gVbmaxCLrk2ZFHaaJKuKnT/r0iO9Ya8kR1JGrkWE60nF+TrXTxLOcsLYKL8rm/Noqa/b/o7/nhvyIH9os0OUqkVktfD88hMUAe3nzzzXLppZcqbyev97EBtqmMX5cuVqtWrbD7cDLwk0jV6lOOl2PFdiCa92lcErWqU6IGHTlly6vn3XsPbUQRqUpdtmyZUltt377dSgJVg/kA0pKxnXRlTxbL+rt06SKzZ8/2DNq5B59++mn54x//KJs3h+4xh5IJxu6tt96qmipy/9mSKEwEJDBYwyBxkllXMkWkZrucn2Qp1SYQcXw//Dch6JznaXZBgrfNYc3V6wW/LE3pb+CZirUElkXs2fCunTNnjlVNCdMlUCMToXxXqoyC1LSQe4rrc+aZZ8qNN97oKjMi4EhUi6AJJFfOnyZYsKs0MNNcCvUrcCSqQm6SStTIUn5XehNwdDor9Dz7Yxitg/8PQmrGu6HX3S70/9gcEsLnn3+ulB000vACG0v8D20q44cggZxMtHTRFJGal5enSrQJ0lGfUn6Y7PFu2hHyqqpZqVrGj8/BX+CJD3bv3e0ZjDFWeEaVivefjQSqBmOabtjMJbYEx5T0853wqfMCpYx8/3vvvde3Y3OwD3/9619Vl3GIhHTuBb/BukICg0RGrVq1Uv476RCpiCKyVc6PupbqDeYVyvZRzeXkuBjaL2gSdfHa5WldX/ZazLN4cOKTipetTdUL6RKoGggNqDBiLWR/GhRgwXD++eer5qxvvfWW6cOxBo5EtQjaN9IpUTOA6o3Sai6VEgiwC5WowdlkZRM6IZAKieoQcLQ+QaRCNZHtv4jM++Lg/5v3pci6eSLlKop0PMPUETp4AIXWLbfcIo8++qgia7xUIJQoEbzYos5ho0cZbrKli34TqTQvRD1DgJqs+jRaU8rcHG/vVIf08fzzzys1CYEUD67b0KFDM/b3y4eVqAVRlKhFVakQIzRKQtlCeX8mx2amCFQNjhUFKIoxW5proOrFPxGvulggofHPf/5TXnvtNddkqoSCe+upp56Syy67TCmYg5Lgh1iErCGBQSIjXaRKpBbOaXtiJ4aSBfsOyGGSIMzHqapsHdJDgxp1pXKFXHVtl20I29mlASqH+vTpo2wYJk2apJLhphNvmSJQNRAbMFZZX21ZC+OB/Qb3PmX9d955p2syFYYjUS3CTq1EDav3HDLgi5pic6mUkL9FZE+4XM0pUQ8iQ3WQHw+ORC1GKJsjctTVodffPCCyL0wK8PxN2KD86BtEKrqO4jY3k7ryyis93weBisIFZZcNQL1AOVgmg6pME6n8PkQvAS5EDgR0Or5tOjjNKRcKVh2yh0aNGql7gwAI8pIyt9NOO02NuUwgJ6xELUhwzYQgIeikYQUkH12AbSNQAeMbf1S8SOmWbQNQrNG1m0Dd67zhf3nbbbe5JlMl2NKGZlKUiVepUkWCctzMByQuSGBkCqkQqZBsIK9gZ0bVp3xH5l/mQIfglvRH+5soH/EAh6z77rvvVLKrOBCo+vthj0UV0ty5cyUoIB6gMgOC2zWZCsGRqBahUE3iSNT0Ub1x6Hmrj+X8WoVasUZIYeeQghI1rMYu50jUYoG+t4lUqiOycbHI5JdDP5vwnMiGRSK5tUSOvdX0ETpEAZvGRJpJUXa1cuXKjAZp6YBNaSZKF7NJpELCoJ6BSELFSGlXusjXJGpY8eOQPQwZMkROPvlk1b0dcg2ri8qVKyvVTCZQ3sMTNRaqV68uxx13nCrdxSc1neYc2SBQNSB0IGBoVodS3Aag0EOtvmjRooSaTLlSxpKFL774Qq0pNJNKxVvbFFhfSFiQuMh0Y6VkidRK4QqJHfk7M6o+5bu50n3zaFU/pHJesm5FRpWVrKskCJs3b66ahfmtSs0GgaqBXy/3EN7mqTZsM91kavbs2VLS4UhUi+A8Ue1QorKhppEKj6RKQbeFgwKnQj1UiRomR+Nh5+5Q8OeUqMUEOVVETvhT6PVXd4k8309k2H2hfx9/l0iFzG5MHDIDssxnn3123GZSBDOQSRCMpoG/VCZLF7NBpBIETpgwQTWp6du3b8aIXu2fmeP2Dr4C9eJ7772nyHsI8UygTJjw2Jek4pEGHTrYwyKCBIdNBKoGx4dPMSo5SB7TQBUEIUPJtlfjK+59CPP77rtP+T87lIz7+6677pLzzjtPevXqZY1dTSJKTRIVkDQkLrKBZIjUSjlaiZp6cocEhlaf4gfNOh8UW4XijkY166kqmJ0Fu2TNlvUZ/dumVKnZJFAjSWL22NxDQWlcqJtM/eY3v1GJxZIOR6JaqER1BFIGoD1J8WNMEmQ2X3/9dfVIKsu5LdzcoaodZa02QFtT7Nm3Vz0STSTk5rh7oNjgiEtCD7Bqukip0iL97hDpGS71d7AKEKMffPCB/OUvf/F8HxtMiMtWrVqJLaWLzNfZVsWmSqRCGEFucYyoKzLp36bL+Su4cn5fgAKDAIhree2118rHH3+csaZqu8O2J7rBVLK+ZXikktiArE9G4eIHgarB30fFS9KDxIJp4PkMKcP97IULL7xQNRd67rnnfDs2B3N48803VYKEEtaglIxDNM2YMUPdx9kif5IlUtMp52ePgW3KzJkzlQoO9SkJIwd7UKZ0GWlaO3R/LF6XHVWlVqWSINeq1ExY15giUCNL5LGUYS1Mp4LET0Bqn3XWWYrQpvKlJCMYabUSAucHmUFUCROZ22M3DMg4dqwLPVeq699nWg7KSyklooQVNWq5imUT8gV290AxQpmyImf8S+Soq0RmvCvS4QyRZplRbTlkHn/605/kmmuu8VRz6mZSKMogbkyDTe+2bdtUSXOmSxe9iNTx48erf0PceqliUNFA8uoS8EwraArCStRUiDc/AeFMOR5KPv1gLBX9N8ERawbv37079N2GDx+uri3njmcITIJp/Vz0gQIrW0olynoJ6iHGP/zwQ1W1AkGeCSJVl/Gnei21cgfvRsgH7guOy+tc+EmganAvcGxTpkxR95If960XOEfffvutajJVr169qO/hGGm0RzkjXtE0QXEonmAueuCBB1RH6qA0k2Lu5H5ijfHLo1wTqZBAoHHjsJValHL+ZJWo27dvV3+X9Rb1myNP7UWLuo2VJ+rSdSukT9sjsvIZ3IMk7ZmfWa9IFOJ9n0lLBz8JVA08RtlLcO9CFNuwp/YCinzO+5lnnqmU+mPHjg3E/JgNOBLVIuiSZ1fOn0ESFWKTsrgkNugEbrqsC7VQwpNDXphErexIVA3OHeOZMg+SBFUqVkrME9WRqMUPDbqGHg7WgqwyZNCrr74amGZSNJKidJHy+GyVLqZDpHJsbMyzSVCVEvs2sKyjKCtQRvEgSOAZUpQgoSj5CSGFKoPX/L8mSyEzCKTZtPNz/i4kK39HE687duxQ40CTsKiXeC9BEH6h+oGaJRNkHeNMK7C5rvj0PfPMM/Liiy+m/bf3pEmianAuuSc4d5wfygajBWcmCFTA9UU1SwCGfyNqHJNgPLZr104pnCCGYo0TGgzRDO7JJ5+Uhx56yPfjdPAHqI1JROCBzHiwHcyLKEKZ50hQ+Il4RGqlCqF9P3HA3n17pSyJ9TggmUESiGRuvCSQgx0kKqCcPy9/p1QKq4+zAe5LyEYSmexXGXuZSGiZIFABY5tEDWshx8D6Yju4L88880y56qqrlG8082RJhCNRLUFkubMjkDIAiEwW3f17RXZuFKmc+CYIApVgCxB8JOz3p5WojkQ9CIxnRaIm0G3YqbEdHMwFYX/84x/lD3/4g2fQiDqE0j18yUwDVSOlixAwfm56EyVSIYcgUXkPwW22oIPSRCxTsgWIy/Xr1x9EmvIzAh6+O+oRFJz8GyVDokExfwMQJNGMIRFAslKGq4lbmjdgUwE0scrfq127dkb8fFHNZqosvSBMopYrk76qmH3Mscceq8ofUbloIto0garBOEDNTvBIQoZSeZOggQlBNA/UQdHAuH388cdlwIABcsMNN1iRSHLILJg38L+9+eab41YZ2OSDilckik0Tx+tFpFYsl6PEFFjWbc7bJnWq1vTch+jEI8RSNGWrg32ANK1fvY4iUZeuXykdG7fJ+trBuoWXNetHt27d0rLcMEWgarAusxaOGTNGrcVYzNgMkoxHHHGEnHPOOcoblWabtitoswFHolqmQmVg2l6SFwgQgND9O29DyBc1CRI1ZewIG2o7EvUgaGW1JkgT8kQNe6k6ODj4g88//1x1qB42bFhcFWqTJk0KE00mMXfuXKlYsWJMwsMUkRq5Kef/sl32W66sGRIVonLNmjXqQQDPmIAIIwhA1cf3NrGx1ipUHjoIJzgnKaoJ3uXLlyvlFqQuBK8m8eIREHfffbdSI3IPkFB49913lTdYvPsmWSVqTob2gahmCQwnTZqkHhAdBKCmCVQNxgjKOZIh2HGYDMS49iRkGBdc31iNhGgydOKJJyol6rPPPuv7cTpkF3/729+U0pz73DSxnwhQ4JMkQtltslt9LCKV+6pm5WqyevM62bRja0wSleQX9966devUuhmEc+/wK5rXbaxI1MVrl2edRNXjCusK1nDskliPSdQmm0QwTaBq8Nl8H9ZCGmnZTko2bNhQ+UWjRH3nnXeUzU1JgyNRLUGkp1kQsp6BQJXDwiTqGpHDOmf/85wSNSpyw6pS3TgtFghyXXM1Bwf/QfBCNpnO017kKB2/CXBQYZkG5dsQYWw2Ta+ZkUQq8xjJ0JUrV6qSMzb42UY5rUQNE3DZAt+NLrKaOIWURM0JCYcSJJPNsjINxgjXgocO7lG5Mp75LhCMXDdNqEIIRCPReD/BAiQkBCCd3SFQIdUyAb0G5mTQ1gkFb+/evRW5gSqVUjzICtMEqgYkKucT5XamGnSlCq49ySTUcATksYBSEeXQbbfdZkVzPYfMgHH49NNPy4MPPmh8LCZTxo99R4MGDUwfTkwitUalMImatyUmEYxanu9DMoXkqEPwSvonLpguyzaskn3796mGU36ANYyKC8YcPtvMy7ESYLYSqBqsJcxBQSjrLxW2ITj33HPl/vvvl/POO89oEscEzDq5OxzSTIBGPA4ZQpV6/jaX2hH+HEeipqREJXikLDLydxwcHLIPssjYmPzud7+L+R6CG5SfNK0x3eAhsozfBkWsJlLZiEPsagWqHwTqQSRqlpSoKDdROkEWQjbidQrBhFKL74wS2GYC1YtcRE0BmTho0CDlG8rP5syZI0OHDlVBGQQrY1/jlVdeUdeX8n0I1REjRmSMQAWb8raq5xqVMhvQEVSioCRhgmoH1ZoNBCqAvCbwXbJkiSLpTQeGkGcQqV4WDbznwgsvVM2HHIoPIMchAUkU2rK2xCvj556hc70t0EQq5C7WP6Bm5ZCdzaYdh5KoHD/elqyhJB4dgRpM1K9WWwlgCvbsllWb1vqu4oR8JzFKeb/uaxIkAlWvhSSkly5dqkQLtqNu3bpy6qmnqpggE57wQYMjUS3B7rASNaecI1Ez3lwKJWq2sW+PyM7whOdI1INQMVyary0r4jWV4h5IxHjewcEhfZC4oOP0vffe69mYCcKIcikbVFc2lPEXBUQb3puQVTzYnEeSb9mE9s/cszdzJCrBCN+B4JagBPINkhGyEdIR8jFRj9IggOAFVS12DCeccIJSOBNYQQR88803KuBKJDBLF5S7ghqVM28Boe9hFLQEaSQjbAHnWpf1M9ZMgqZ5PBYsWOD5PtQ3H374oSJcHYIPEiYkSU477TRPFbJtZfyo4W1TgBUlUinnj5zfIklgKjhYy0mk2F7C7OC9hjarE/IlXb5hte+fz/6VigvmbvYtWAwFiUCNVtZvei1MJOnYsWNH1WQKGxQafpYkOBLVEuTv0eX8jkQNJImKbQAoVVok125DaL9RoXxiStTCplLlXCm/g4Nf+OSTT1RZ9kUXXRRXhQrJYZo4o3kRak+y9abL+CNBKTLBIkoaSssoyfrxxx99IVJzc0JzZl7Bzoz4nNKhHOKQIANvyIEDB6rzDcmYie72tkOX/qN0RmVKyRpq3G+//VaVnGIlka3rqpVatcLKrUxBe6BChDM+uY4obW0K0phfOC7uJdNAacr49yLOsUWglJHg0SH4oIyf5mt9+/a1Xg1pWxl/PCI1f2te4fym506SjhBFzEnc+zat5w6poUnt0FhcvtF/EhWwfpBUwJMd6xoSh0EiUDUQK5CM51htR82aNVVVEomct99+W0oSiv9uOGhKVNdUKpgkqvZDrVRbxCcfmKCgYoKeqIUkqmsq5eDgCwhmUKH+/ve/91Sh4u+JMpHu1SaBcm7mzJmK4MhEV/VMAcUayj425ZSAao9Uv4jU6rmhQGDzzm0p/w1UG5BqI0eOVGXMKDooj+OamybOTYKgDJ9MyAAUqlxbiFSULpDmmb62m8Pl/DUrZY5ELdpECrUX3wcVOt/FFiLVprJ+gmvIqXhB7F133SVvvvmmrF5thjRwyAxoOPfcc8/JKaecogg928GabFsZvxeR+vPCJZK3I09Z123O26bWS9ZGLEaYXx2KB5rUCpGov2xZX2hTaALsW0h+sr6tXbs2UARqEMv627Ztq8r6H3/8cWv2E37AkaiWQE82NJZyMEuiEmCcffbZ6pFwaYlrKhWXRE1YieqaSjk4+AL8HNmkXX311THfA9HCxpNNkulSO7wqUQiZJnMjAeFDOW/RTbmfRCpNO8CWvORJVBox4HOKagMCGC9AlEGoC5wy6GDg+0qzh5NOOkmpELkvRo0apa5xpq6vLnfV5a+ZJlCLeqRSfjdt2jTfrCeCVNaPEplyYywQYoHxgFL7H//4h6/H5pBZPPvss2qNO/74461K0MUq46dawMYy/lhEau9evWXn5u1qvZk6e7qqbCFRR3WDg33Yu2+vLFzzs3w9c4z837A35U/v/10G3HWBNDizq9Q6tYM0u/AoOfWRq+TG1x6URz5+Tl797kP5bu5k2X/ggFTLraKIy9MvOFutk+wjUHnHuu94D56akO2QnpkCTc0gIqdOnVrYrCkIBKoGx8ichIe56bUwkXt88ODBqqrto48+kpICZzxoCTBiznRH1hKPFBtLMZl/8MEHyX2WI1HjN5ZKWInqSFQHBz+ACvXmm2/2DBq1wkp32TVZxo/yr3///taQe5SKEQyyKcdnsig0kYrnG8A7KhvHrpsQaRVjIqBMmaACkogghmAjCAG5DYCA5JxhdUBJKuWqCxcuVArpdEgBiMwN2zcd1IglGwSqBgpjiAw8bxnHtnQDhkTl2CnrN9khHdKceY9ri0I2Fu6++26VfLjnnnukRo0avh6jQ/pgLoTkufHGG61XoQahjD8mkdq1h3w5YYR8n/+DXHfmpe5esWxczfh5joyeN0UmLZwpU5fMlp0Fuw59Y90KUk4qCNHalBU/qkdR1KlSUyqXqyiVDysvDz78F7n7jj9G/cz3339fbr/9dnnhhRcUgco9SEKKeZ/xnQng3Y6qEyIVEQBWNkEgUDVo5MoefN68eWr/aCtKlSql9g/4SRNXIEKzZZ+eTTglqiUocOX8mUeVw35VomZbZeFI1JhwSlQHB/tA6TYbSwJHr401per4M5n0wsRKAGWaTWX8ZNxR8FEyhmozFvxQpFYPk6iJKFEp1UfFhL8nx0KJOiWhjkBNHtwTqKIh0OrVq6fuKVS9+Kemgi07t8mO/JAHZ4Oa4SRwlghUDWw8CGAhg3UnbdOwqayfuY9Eg5c3KuevR48e8q9//cvXY3PIDGgmxf2LwjxaMszGMn5UqEFDpdI56t7enL9NrZ8O5jFz2Ty5/79Py5H3nC4nP36VPP7ZS4pIhUDNzakonZu0lTN7nCRV1xyQzqUbyVMX/0meu+LP8vQl90qpHzZJnxod5Mr+58jgLsdJ8zqN1N9cv32TLN20SmbvXiH3T3pZSvWsKz/nrVFVTZF46qmnVBXU5ZdfrvZ2kKkkrl599dWMfkfWYwhUPh/P9yBBr4UoaG0v6z/ssMPk5JNPVj0L8NQvCXBKVEuwe48u53eNpTKuRN23W2TXJpHcWtn7LEeixkTFsBIVtTWLWCwyZtfukFLVkagODtkH2eJrrrnGkwCkJItyXxR3JoFKDjLSljJ+SF0Is6ZNmyak0M22IrV6uJwfrzkvP9nFixcr6wG619I8xXbCIEjKVMruUKeiWhwzZoxSiVEOTlCYKFZs/EU916laU3LTWAcTJVA1sHHAwoFSSsaq15zgd4diShn79etnzEqEc4NnI/eNF3GFGvWCCy5QyipbEj0Oic3lTz75pLp2jDebsWvXLpUAo2rAy8PcRmAbtOWXjaH18oDI9BkzrKhwKYmgP8UnU4fL66M/kpnL5hb+vFJOrvTv0EuObtNderfuKm0Pa6HiNfaAudf8VZ748G45/Zghhe8f2uYD2TJ3gzzy6O8Lf0Yid+LCGcoCYMnaFSoxKIdVlPdWfCdT/3y+3Dr4cjmz50myb+8+tUYxb2rwWSQksRbKFHQJPwpUCFQ+k4QXSZOggCaXuqyfSizTtlqxUKpUKZWQHzJkiIovUBUXdzglqmVKVOeJmkGUzRGpWCPpkn4mWiYDHglnrRyJGhMVwo2iUD3lh8d5NOzcHSodcSSqg0P2vUWHDRumAv54KlTKiUxu2lDdoJDr2rWrFeVBnBcUqBAlyZQaZ1ORSvkcWLdtY8ymUd99950ixfHB5OEI1MwDNS8EOepexipNuiAPEr3WyzesPqg5hx8Eqgblk5C+EKmQNTYAFShzD+S/SUCuoa5BxR0LBP8kef7973/7emwO6eHdd99VY2zQoEEquWQzKOmlLD6Z+9oGoHInEXpC3/5So2p1qVCxgrRo31rZEtiifi8JQMiCd2mve8+WW998WBGocA5n9DhJ3rjuCZnz5FD59+/+Klf0O1sOb/hr9dGGDRuUJ2dR4pF/r1mz5pCqmMFdj5Ozeg5Sf+eVax6VMst3SvnSZWXx2uVy0+t/ln5/uVD+N/6rhP9mqijqgcp9oz1SsYcKElgLsd8xvRbGQ+PGjVVzPgjfTJLhtsKRqJY1lsopF6zsYnFtLpU0doQn5Ep1svs5AUSZ0mUKx3V+WG3qXc7vykodHLKJZ555Ri688EJPTzWIN0ruUNeZBMEX5IQt6i6Oh9JeSKpkSd1sEamNwqXfW3dul+278g5Sn6JcYjPLOUSNYTtRUByA+pQSPMq8UaZOmDDBsxy8qBK1ca3DfCVQNVq0aKGCWIhUGxpZEMTjs8Y5RA1lCiQcuG+8AljmgjvvvFPNrTacO4f4YP6lIdhvfvMbadeundgMGjJhK2HSIzgV4OfIGsRcyD3UoEZIaJJfao/6mSNSY4N5hIQWaweCHshMwGt+RoOxoiXyscb5h5OHSu/7z5Z73ntS1mxdr67Dn06/XqY/+pk8f+VfZGCXvoX9KzKBJrUbqDkRUUy5udvkxlanqc/Dv33hmmVy2/uPSbWTWsuGvC2SDcRqIoVHKhUFVBLZXh4fzXPU9FqYyJrdrVs3VdZfEpotunJ+S1AQbrqT48r5M0+irpuXfRI1zylRvVCxXAWVBQ0RpdEVUM4T1cHBH2Xn22+/rYgdL7BZg3gj+22ycRN+VpRf2QDUaKhqKIVP9bxko7S/UoVcFZxQzr9y0y9KRQIJjo8s6kjKoSlLdvAXqMYov4N4R5VKEKS7FXuRqASgfhOogOMiwGRszpw5UxHBptXfnEPsBZiPTDa+Qo2K3y2Nh2Ld+6effrrcdttt8tVXX6mSRge7wTiHaHnooYesL+9FhYp9jC3JxESwZcsWpUhjTtIN95rWbqgUiT+vXyU9WnZWRCqEVkks7YcgZX8DKQohqh8o3nnGaiKSnNKEKXYxkQlYrB1oiMyD9V6/Zs1fu3OT3Pe/Z2TSwpB9Qv1qdeSWwZfKhcecmrBoi2uHWptKlkjwb6xOooFE4Myf5xauaeVLl5ObBl0ilx13lvzz6zfk+eHvSIXmNeWmTx6TUjVz5Dfdj4/7N9MlUDWwp+Lckiw87rjjpGLFihIEcB1YC6kQs7nJVJMmTVRlxg033KASPxDXxRWORLUEBWElqivnzzA0qamVotmCK+ePX9K/07u5lPZExczcwcEhO8C0n6CG8niv4AcSzqsjdbZBkAD5BGlhg/8bqoVZs2ZJz5490yYks0GkNqpZX5Goy9atkn2b81UQgboKOwbTRFhJBoQbzccgNiEmUWah1Ijmlbp0/Ur13CRJJWomCFQNgmXG+OjRo5UPqA3dyrEZGDdunFLKmgp4UdERkHNfxTonXOtrr71W/u///s+RqAEA14kyftSdNs+RrMWUH5944okSFEACQo6SfIick3SCiGTf3n17VZKkuBOpysosP1/tqyBNeeYBWcpegocmPSHKIglRHnpsQvyRoBk8eLCaayBVNeGqn/Vj85Yt8p/vv5SP5o6S/Qf2S/ky5eTSXqfJ744/X+rWrpNU1Sv7L9YWmlGSKAJ8Nv+O1Zi0cc0QEbp+2yY5EFHzXKViJfnTGdcrX9SBd/1W8isVyFUv3SNXH3+eUqp6/c1MEKgarCWouyFS+/TpY63PqNdamIzfup8oV66cEj707t1bNQsjSVVc4cr5LcHusFekK+fPMCqFsp+SFyqDyAr27RXZufHgZlYOB0GX6GNoHg379u8r/D+nRHVwyF552HPPPSc33XST5/sgT8gmm+zYDtlEYMBm0QbFCJttNrB4R2YCmS7tb1QzFKiOmjxWEb4oLPDRspkcKElg3KBK5bqPGjVKBXpFr/lPq0Ll4m0btDBCoGoQwENszJ8/P2P+dOmgevXqSp1EgGwSkKeU9HuV0P7ud79TSjHTx+rgDRRSn3zyifIvNt04MZFkInO5yfU42X0GvpMkHoomHGpXqSGVK+TK3n37ZNWmkLJRE6nFqbSfc4Cqku80fPhw1a0cNTGqU74vJBPekYw/vjuJNpoHoTZGFY2FCPOw1/qNOpWkUo0aNdT8SJUDidMajerK4+Nflw/nfKsI1P7tjpJ3rnhCTm13nMyf95N8/fXXiqzEGx+CPpG9B/75L7/8srzxxhvqe1x33XXqu1x++eXq/y+55JKDmkSVK11Wdm3dodan3WX2q/uNJCJ7S0C1zGMn3yr5s0Nj4OWR70uPm06RvIKdhX8zWwRqZNUF55DjyqRHvR9rIWuzzWjRooUcf/zx8tJLL3l6iQcdTolqmSeqU6JmGNqjNJsk6q7N7HRCryua72prI7TXTiwlqvZKZWGr4CwtHByyAppJQQieccYZMd+DioGNL4SPKUBSsFEnIDCtECAYgkAlsMk0oZtJRWrVciFVQkHZ/cr71JGndio0UIDjRUyZK2okHcjR1fiXLaGKmXYNWhojUCODNRSz/H3sK+gQbBIkMLBEgEwydSzMAWXLllUJnkaNGsUky88++2x5/vnnlT+qg52AEIK8QnVt0rImHiDi8CanGWAQABlFxQbrJvNH0XWIf1PSP2flQlm2YZU0rRMq9S0OilTIIq4XiSesiFBwMmdAkEIoM3dkGyPnTJTrXrlf+aNXqVBJHr3gD6rJU+R1wFMTf1WOk70N4Dgh57gO0e6H8847T6mh77//fvV7rGOQsdoGA6sj3YgKMEc+cu9fpFztSrInf4c8+eST6kFylyaX4MILLpBNGzfKY2/8U/Z0ribry+2QjtcMkLKVcrJKoGqwt4TMtqnqIpm1kCqjRL+r36hSpYqKISDd//e//6keDMURTolqAQgYf20sFYxMY/CUqFks598ZNqeuUF2kjMtLRINWl8ZSou4Mk6uQrZELsYODQ+bw4osvylVXXeUZNLIRpaTMpIcmvqNs+m0IpPCfIjCE7MoGMZmuIpX9A79XtiD0e5t2b3MEquWAaCOYhESFQCf4nrd6caEtAyWPJglUDbzMUEbhrWtaqcN9wrGQXDEF7it8opcsWeL5PlRab775ZkLNxBz8Bw33/v3vfyuvaK6n7SpUSuJtJnojwb0BkQghGisB2ixMnOKLGokgKlIhizlW5nGS1EuXLlUqUhKZ2C9AoOrkS7bHyr+GvSUX/ev3ikA9onlH+fbet+TsowYfsh+A3CWRh10TdhYkElA5M7dCjEJkQ5QWVdxTZs/ejPWK93CtNCBGX3/99cJ/o4qdOX6qPPDAA/Lvd19Xx8dDE6iRf3Pl1AUy9N7XpGalarJww3I575mbZduuHVklUG2tugjKWpgIWrZsqe4B4o7iCsdWWICCcCk/yHFKVOPl/Cz8dJbjkZAKSpfyV3Iq1FSVqK6plINDdsFGf+jQoYpEjQU2zWxGTZbQE+CyoSXbbjqhQhMuyndR1GRTEZsqkYqihGY3qF4G9xmgfjZ/9dKsHadD5kAZJl5sPKOEmb5otvp5+0atrCBQNbgPGWe6DNMkIJMY6ya7KlP6jZceBHgsEMxDQP/3v//19dgcEsOXX36p5ljKTW1Vcuk1G5IOQioI4N6E2IGU8/IuRokK1m7dIDvy8wJJpKIOnj17tiJOSbRClEIYkRyjLB8i1a9kJnZod7zzmDz88bOqfP+3x5wqH93+XEINCjlGVLI07cNaAPUg94S2IYCgpHopHYshrnMsAY1G9+Yd5ZM/vKDsHn5csUAuefYPnj00MkGgRqu6YG4PAlgLUQabXAvjAWUzYwq1M8mg4ghHoloArUItW6aMlCkdDHPjwKBSrdBzXpjoTDAzxSaLB68TVqK6Uv6Y0OSobh5VFPrnjkR1cMgOXnnlFaU68PJ/g5xBMZEp389UlSwEYNkmh+KB4BUFHiVeBETZRrJE6vbt25X3IuQuqpcuzdurny/fuLpQ2e9gN7jXIEIhSUbPmKh+dnicUn4/CVTA+EKxRGKDMWcS7MdQtxCQmVLGoghEIe+lRoWYoMFUcVbgBBk0Oxk4cKAVftte6w8EkQ2WNomSitOmTVMVG3QQ90KlCrnSsGaoDHzBLz8f8v+2EqnMORDFEydOVL7WJJc4Tsh4bEZMNL0r2LNbrvn3ffL2uE+ldKnS8sh5v5cnL7o75f4qVCCRONMqWpJFI0aMUGsOSeVkQEVFjUpV1XnT/rdeaHNYc3nv5meUDcGkRTPl1jcf9pznM0GgapD0Yj6A8OO62g4b1sJ4QASBRRX3R3FdCx2JalFTqfLOCzJ7StSdWfRE1SSqJmwdYjaWiqlE3RP6ea4jUR0cshKQQaJec801nu9jQwqhY6ocnM3rwoULreiWDGnEJtBPn6xEiVTKJSFQKcnTnn51qtaUmpWrq99ZGCUwdbATjHOlKtkTUsBUL10p5nX3m0DVgBRhXsDH1aupkh+ArIDMhcwwBc4Fnn9ewfbFF1+sSCDUag72gHJkmuqguIM4sRWsxczrsbx3bQJd4ynvJkGbaJMuCDOw4JfolRM2EamaPKVigPkX5SIkI/MwKk5TexUI1MteuFO+mD5S9VN58aqH5cr+52TkeNj7oCTEi5d7hbGIZcGECRM8VfhF0bhWaJ1aufGXhN7fsXEbefOGJ6Vs6TLy6bQR8tK372WdQNUgYYGXJ03RTK9zQVkL4wHbATzVsbeh30JxgyNRLUD+ntBGLNXMkUMCJOruPJE9qZUkJFzO75SoKXui/lrO7zyBHRwyDTb/BPyob2KBzRilQSZ9SCmLg7AhgDIJFBcozVDg+W0pEI9IxXONTT4qkaJkc9twYDr/F2/PRoeD8eijj6oGEwRQqLBPP/10X7vf5hXskgVrQ8R3jQO5StFVNIgzRaBqoE7CagN7C5MgmId0NqnAQZlO4O5F7vAextHbb7/t67E5eOPdd99VxBCKSVsVnpCSrIXcc6aTiYmARlKoMCkJTxSt64csClZuWiN5+TutJVLZC0AcMidDup900knquiRUpZhF7N23V6575T4ZNWeSiq/evuHvMuSI47PyWahTuV/47sxr48aNU3sQ1Mfx0ChMoq5IkEQFvVt3kz+fc6t6/ZeP/iVTF8/KOoEKuNfY80H2kcy3HTashfGQm5urbIsYN1T3Fjc4EtUCFDaVckrUzCOnqkiZckn5oubl5alAlgevE1ai5joSNRacJ6qDgzm88847csEFF3g2N0Chg7KRBgMmQBMWNsYEKLaU8Zvyy4tFpEJgsWEmeIimUGrbIFSeOm+VWaIriEmGG264QfnL4gMHiUHAmND6nwH8sGye8rU7rHodOXVbqLwAAQAASURBVGPQEPW5BKmMRRsIVADhhG8c5LJp3ziUoFyjlStXGj0G5kyv4PWiiy5SpF0QVE0lAVwrSG2IORuaFsYC/sMkdHTnc5tBMx4qI5gbkiF8q+VWkfrV64QqJ9Yui/k+U0QqSWVKu1Ff1qhRQylP2RPYQLwzn1Dq/tXM0Yo3ePP6v0nfw3tm/XNpSKW9UyHwsDTgungpDLUSde22jUo5myiu6He2nNnjJLUu3vLGQ4UxYrYIVA2+F0QqJOrWrVvFdtiwFsYDcy1N/IhDihsciWpVOb9rKpVxsKjnJt9cioA+4c6qWoma68r5E1GiRgs6HInq4JAd0BTgww8/lN/+9rcx3wNZs3z5cqMNLCBnKB+jVK6klfEnQqSiTOLYCB5iec51aRoioGf8XDxN/LMFOhJfdtllKkBE4UuXYe4HiEs/MG1JqOT7yBadVRKDa0xgShC/atUq4wSqBuOObuYkGUwSgxAZlF4SUJs6DlRpXCOvxh4QL7wH6w0H84DwgfimvBRizEYwXkiW2WBpEw9Ut8ycOVP5HqbiB9rmsNB+I579jJ9EKoQUn0MXeeZiCEOuBeSaLXhq6Kvy4eSvVcn7y797RI5t18PXz+dad+3aVRFjBQUFyjOVhmI66ReJqhUrS/XcqmqeXr05vi+qBmP/0QvukPrV6siSdSvksc9ezDqBqsHcgN+o6XUu2bUw2vm3AYcddpi6ZihRk/XVtR2ORLUABU6J6k9JfxIkalJwStS40OTo3n37ZM++vYf8vyNRHRyygy+++EKRk0ceeWTM96AkIUiI1xAim0QvmXQ2gyW1jN+LSIXQ0wSqV/DfvVmHQmUj5X4OqUErUPy6H34lUTsWKn641iRyKSNF5WWaQNXgHqWsH7WcaXUL96gpBQ7BK0Sq1+czp55//vnFUoETRHAdIFBJkNlKUGLXUrt2bWNrcTLA75ekZ6qqXu2LumzDKtmRn2ecSGUfNHLkSDXv4gNKQs1EsygvTF71ozzz9Rvq9d8uultO6nyssWNBLY0nO2sV546KjmgkWaNa9QutG5IBamWaZIGXv31Pxs+aknUCVYMyeQjUIJT167WQhKuNKBdW91JlhqCjOMF8lOAgBWGfSOeJmiU4EtU4ypUpK2VKl4npi7qzwDWWcnDIVuCICtUraIQIoDzcVGAJcYkXJd5bpkAWn8Y5Jsv4o4EGNlwXNqIEj17lw63rN1WdbUlK/bTa+aKmXCp5662KvEZh5cfnTVusSdROhT/fsGGDCua5JyDRbVGZ6LJ+lNEmy/q5J+imzNxhyg+OOZPA1UutxNz7wQcfFMumGkEC9w/WCpA+tjZr4hhR2jGubQcVEhBnEI2p7htqVKomDWvWV/fvnJXxyapsEamoT1EdkrAiSYRnrsm9SCzMXjFf3pz9lXp948CL5YKjfyM2AMKf5ARJJewPsByKXK8ap+CLqjGg09HSt9URsv/AARm2aqpvezPWuaCU9duwFsYDcy4EeHHzCHckqkWeqK6cP0uoVOvgsvtMw5XzJzTJ66ZR0XxR8wpC1gm5OXZlfR0cgoyNGzfK0KFDPUv5CSAIhkwFlqjaKLGkfMok2CyzcTZdxh8Jyjo5Lgi9Y489NmazKQ3UCN2atVevpy+d4/PRFg/gjco5fu+96F2BM40fVy6QTXlbpVJOrnRu2u4gD1TU4wSnlM1GazZluqyfUl6TQRsKHIhmr5L6bJ8HkhvMn7EA6YOy8KuvQuSHg9nmisyjNhJkOplJCbnpxorxwHmEyOzUqVPaSs1Ojduo59krFiQ0l2SaSNXqU5Icxx9/vOombqNKefuuPLnu1Qdk74F9MqDjMXLPadeJTWDv0bZtW3V/0S2e+23Lli3q/xrVDClRf9myvpDvSBSUqZ/S7GglxBkzf6qM/Wmq+AVU1kEp6ze9FsYDIgkaTE2cOFElhYsLHIlqAQr2uHJ+X5SoO9Zn5+87JWpSzaXydx+sRGXjtDNMrDoS1cEhc0ABRTbdi6BE6Uh2n9IsU4EjgVitWuaSUARQlCfTgdaGMn4AsUwA0bt3b9XZNFazqaLo3jxU0v/90h8liOB74bNG51+UjigydaMPHlg/ZCugufHGG5X9BQ0z/EoqjJ43RT0f07a7ChSLNpGCpGMM8L1RStuiNCFgJmjjeE2BRnmQHiQbTACyhXHiVdLPe0hiFTcFTtDA+adE26Tvtxe4r1GSoSizkcQrWsaPrUwm5khK+hEQbd6xVVYl6JmZCSKV5C1JoEj1qW2l+5Fj4453HlO2BzUrVJWnLrrHmn1KUbBX0arUcePGqT0Mvqg8WLd/2bwu4b+lPVDPOGmIXNL3DPWzp4e+Ln6vc5x/Ki9shl4LmUNsROnSpVVlD/ctFQHFBbFb9Tr4BtdYKsuoVCd75fwEc7vCHjCORPWE9jvVhKkG5f06KHbl/A4OmS3lp0O0F3Qpv8nAEZLXZOCI3yiBmS0+dBCHBKoEdpEeqJpIpWQOsCktet56tOysnicunCG2glI/CFKUKpoYhTiFzObBuGDTzYNgF6Bg4Oe6TBDFVoUKFQqfUZehHCGIw1M0GfB3b7rpJvn4449VQxFUln5h9NwQiXrc4UcdQqBq8H0gUmlQxFg17R2sgzYCTBqK4LlsKqjnWn377beK0M3NzfX985k7GTMo+mM1n4FERbWHX6CtDY2KM5hf/ve//8n999+vyB1bq0Y4TlutBoqW8aPazMSajY1d28NaqFL1H5cvKFQtJkqkTp48Wf07GV9WzjO/R+UJxLqJeSMZfPr9CPlk2nDVSOrqrqdLjUr22A15qVJZF6ZOnarW+cOq1ZFtu3aokv6mdeLfg0WbSF1/4kXyxuiPZPz872X60h+le/OOvn0X7GsghFmT2V/YCtNrYTwwt3HPktD64x//aH2yKBE4EtUCFIRJ1JywUs8hS0rUnRsSnjSPO+64wteeyN8iciCsinEkqicqhMv5i3qialIVpWrZMm5KcnDIBFCYQjwRPHoFEwRvkDYmsH79ekWemQwcUTxSXkSnWRuQl5enAg8IUsqAiyIekdqrVVcVbC3fsFqWbVgtTWs3ENNgnBF4QyLhLwaBCgkH6UmAxPeECI0kRfl/ADlFKfRJJ52kSCoSbpGEq37wt2nKwmcRQPC3eVBGxmd4bdgp4Ucd8emnnypF9po1oQYYBEzZVCex9k1Z/IN63aFO86gEqgbnhQBk7Nix6vs0aGD+umoVKGowXpsA17pevXrq2nfoEFJh+wnGCw/m21jngCYlkKifffaZXHrppb4fY0nHN998oxJkJKWYW2wE9xHjR897tpfxZ/I8dmzSRpGo839ZIv079Eq4P0gqRCrlzlOmTFFzBn6utio6NTZs3yz3vPd39frmgZdKC6knQQHrJ7E0at91y1bL7lK7ZUUCzaWKEqigYc16ctZRg+T9iV/Ki9++Jy9e9bD4XdZPJQjfx9YxY3otjAcSiKiUn332WXWNaTQVdNg7W5cgFOxxSlSbGksRNKEsSKqUv3xlkbKOBPeCVpkW9UTNyw/5oVbMsXNz6+AQRFCWjHoNEslLhUogYiqwZLNHeSWKEFNgMweJa8rOIBKoLgnwUEt5lZ16EamVKuSqkv4pi2fJuJ+mStM+p4nfQNkJWQoZyQPSlA00lg0QSgRXbPhTUSIQwLBGxyI3IVj5bNQvBMwoN1FyoorhwTEUHW/PP/+8ei5KpL/22mty2WWXSbYwccF05RGHSmf90l+UB2o0AlWDgBJ7DshWxoBpVQzXgkAIewnuIVP3MQEuRArqJxMklC7p9yKSTzvtNPn8888diWoAnHfINltVqCjH8JGEnLQZqM4hlDKd9GxYo57UrFxdNu3YInNWLkhKZZgMkUqydNasWdK+fXul2guCEu6+//5DnZf2DVvJDSddJCO+GS5BAolPkhcHvi8lU8Z8JPv37ZM9+/Yq65pECVSNK/ufo0jUoTNHy6YdW6VmZf/WP9YW9jJUTrVq1UpsBXYg7CFNrYWJNMDifmVOLg4kqp10egmDNlrOcSRqdpCbHImaFHZpP1TXVCoecsuHgt68gl0H/bzQDzX8/w4ODukD1dOQIUOsLeXX6kSTHnUQbWyMbSiPhnhE6QDhl0hXeC+P1D7teqjnMT42YQCU5nMsKL8of+PfEFwDBw5UDScIXlFQcuzZCmBRbJI4gKxlsz548GClOOL80CCCRmtKGbNuXeE54znaI5sEKhj2w1j13KZa47gEqgbv4btBGkAYmwbXk3Nu0osNlSGk+qpVq4x8PuScLseOhVNPPVW+/vprpZp28A8o1wnYIShRadkI/K+Zs2wswS1asRHNQiZd8Pe0lzcNEZP1vI7nkcrfY13i0bNnz0D4zoIJC6bLx1O/kdKlSss/Lrk3sEIrznXvI46S5o2byvIVK2TSzKlRvb29CFTQuUk71YgMzuSjKV+L3wlD1J14o1IdYytIEiOKoDLCRtSvX1/tx4hPigMciWoByMoAV8qcbSXqxsz/bf03XSl/XKCQAnkFIeWpxs4wqZrrlKgODhkrCccbicDd6z2QXGxqTAaOJps5oKxBkWJDQwkUkygoe/TokXC5WCwi9dh2R6rncfO/z3pXWf4+5BWkKRUckERdu3ZV5CXfBWUQJJspoI7UpZtYAtAhluuNmnPEiBGycOFCVabqN/bt3ydfTh+lXp/Xd0hCBKpG69atFXGI4sR012ACZMhxU+dRHwMqUOYUE2A8cT20DUQ00LSO9yRc5eSQEXCPMC4h2WyY54uC+5dxa2vDq8i1skmTJsp7Ohvo0Ki1svzanLdNlqxLvllULCIVD23GAAlbSom9KnNswt59e+Xe959Sry869jTp0tR8ojfdObpLqw5qPzB5znTl+R5JpMYjUDXOPzokDPhk2gjxG4wxqj9oQmorTK+F8cAayL5w0qRJys4r6HAkqiWTJYglb3dIE5XCKtGCbSJ74ys3IBeYLHnwOqFy/lzXLCAeKuVUPKh8v6gStVKOvVl4B4cgAXIIhSklPbFAwI8XZaxmKNkEm2dULaZ8FAEbOMq9IaRMAxISTzyCwGSbIkUjUo9o3lHNpxu3b5Yflv+UNesBiLPhw4fL3LlzFRkPSYmiEtLSpEWDV4BBOSqKEtSxkH8E1yhnCb4pq/ULw6Z+JxvztkiVCpXkN70GJP09IKohCChPjabq8RMQEwSXjAdTYL7TfrsmwPj3IlG5ZiS1UEU6+AfON7Y2tjZsYv4haWYzuYffNMeJAj5bQGXZpUmIKPx+6Y8p/Y2iRCprFIp9SHQI1GwRwNkAZetzVy2S6rlV5Y+nXiPFAc3rNlaJjKqH1VSVIDNnzlRrV6IEKji563GFY2Tt1ixUl3qAOZwSdPZqNlcUQFRTZWVqLUzEAog9GF73QYcjUS3A7n0haXi5gEr1rUeF6iKlwwHdzo0Jd0fmERe7NoeeXTl/XGiS9JByfq1EDXumOjg4pB84ErB7lawR8JtSoepSalPllXw2xB8EarKkZaaBGpgycxoKxQsgEiVSScjSoAMM+2FMxpVTeNlC1FMyhsJuwIAByifMpOI0lc08ZdgoU3kQcI8cOVKdv2yXyXOd/vNdqJxtYJe+KZVp4ncGYcB9TELCNCCkdWMvE+A+xlrAlAKHuZQ9o1epJ3MyZYymSe+SBM43pfym1rp4YLyi8LS5vJy1khL4bCt5uzZrr+ZlmiKu27oxLSIVgm706NFqvYJEN5EsTqdPylNfvqpe33by5VKrcnUpDmhap6Ea51vzd0jnI7qqJPaoUaPUupEIgQoOq1FXujVrr+bQb2aNExNKShIeVA7ZCtNrYTwwF7PfLQ4l/Y5EtQBOiZplUBpZMawU3RkmPTMFV86fMCpHlPNHBhG/lvPbV2rl4BBUDzivUn6UGXj4mQosUR0QOJrqcgqJBdlDYGgS2qeTUs50r0VRInVg52PVz78O+25m4lhRzEI04n8JeYq6hzJ0mwmARIA6lU09vq2Q2hDEBEkQq5kG1wdP1h83hTxET+l2cDOrZACpQaMprrefKtpooHEYSRGTwSX3EQo0FLp+A5UbnpZeJYp0dkYhBMHjkH1AzjAeIdVMN2GLBtYgEoomKzLigeND4e1HxUbVipWlTf3m6vWUxT+kNRdxP+LjiiovSAQqeGf8Z7Jq81qpX62OXHrcmVJcgFDmsOp11Os12zeo9YJrxPVKprHniZ36qOexPnu+a6CkJHHJsdsK5hRTa2E8QEJjrzRs2DCrFb2JwJGoFgS8e8OD3HmiZhEVqx+sHM0UCsv5HYmaaDk/4z1/z69Kn527tRLVkagODukC/y/UUBBqXoERm1YTjSzYNFEaCIlqApCB+LvZ0L0Uby2uVaa6lEYSqQ3K1JAypcvIT6sXy7L16TXcgfhB1QNZRzDdv39/pXQIOnlaFBAtqJYgXRijkKkEIplSDnJd8GItUzdXftm6XlVnHNf+qLQDEhS1ujTSJBjHnC9TwSUqIdTQnGcbS/o5tkGDBrmSfp/AecZehOZ2Ns5VNviCJ1qx4RcReVSrLur5p9VLZOOOLUn/vvZA5XiZx/HejNZsyuYeKc8Oe0u9vmXwpVKhXHCqOxJBszohW43xM6eoxqast6wXWDAkun71btNNPU9cOMPImsfeGXIeGwKbG0yhSDW1FnqBe5OkNcnroHuEOxLVMPbu/zVLENTOe4GAVqLuSn5R9sQuTaK6cv54IEmgNwSRJf1aiVqpgp0bSQeHoAWOJ598sidBaLKUn4AGL1YIPxPgu6MwNK3+QfGISqpbt24Z9Q/VRGre5m3S6bBW6mdDfxidcpKXQIGmUahGKNvnvJlSEPsFxieqVMqA58yZo4LydBUTmkAleBi5cIr62ZAjjs+IjQ3+YgSipsv3UH9B6OIZVxKbajCnQr57Bfa6pN8h++A84x1sYym/Db7g8YBdC9YmflZs1K1WS1rXb6bOz6SFM5L6XX4HlT/rOwQq1z1asymb8cX0kUqFWrtKDbngmFATpeIEfFGxPZnz83zp1auXsl9gv4KCnyRtIqCcP6dseVm/bVNKTcgyAZLw7CVJMNsIvRbaYPUTDVQwQaAHfS0s3jvhAGDP3l/9k8pq306HLCpRMzzhOSVqUqhUWNK/65DGUk6J6uCQPmj0g9rJixgj0DcVWEImQbSYAqXozZs3N0oEcg2mT5+ujgP1XKahidSOtVuqf3+aQidbSjhRn3K98AxFZWhjs6hsBiGMU1S3fG9sDFDOpKJ8iSRQq9eqIZ99/636+TlHDc6YsgOyCMLXdFk/hAuEBZYhJsA1w6rExOfrexmvv1igoRn3PsfokN1S+bFjxyrbEZIitoH5lTFqa0Mp1igqNtq1a+f7vK+VhvNWLZZNO7Ym/HuoZkkmQc5p5WzRZlM2g7XlhRH/Ua+v6HdOsVOhgi1rNsjO7XlSv8FhsmN/KPZDiY0nKusrVk/xwHnp2DjU5Gz2CjP2MRwz+zfGnK1gLYSwNrUWe4H4gz0l8UqQ4UhUC6T72g/VxnKTYtVcKhvl/PlbDyZpHRIq6c/Lzysc/5iog9wc11jKwSEd0I0TsqZfv9g+iwTvBEWU0vgN1Hxk7k0RuASudBrGO9F0GT9qGQLUbAEi9aYzLpfSpUrLjJ/nyuK1yxMO5FDIQkBwnfBxNDFWbAEl2JQEQ1JSGjp16tSkgpJIAhX1xbBZY2Xbrh3SqGZ96d06RBZkArqsH49dk2X9jBUeptSgqvtz1aoqUeQ32MOj2PYq6ec60YRrzJjMNnxzOBiTJk1SpHbHjh2tTP4wRhgrNh4b4P5lPFO27DfqVastreo3TUqNCkHKMUOYFm0WGRQideayefLDsnmKJCxOXqgaVLUsX7Zcju3eS62rSyNUpOxXevToodSoiSSY2jcKVdnMW7lITAGbC/azXj7YJoFdF9YD2HfZeGzdunVTogbI86DCkai2kKiulD+7yK2RMImKQomgiUdctdKuMIlawT7TeqtJ1LASVZfy491HeYaDg0PqoOwaJVijRiHfqWhgQ0XwZiJpB7EBwWKqizsbNs5N0SDLb6J7wYIFGS/jj4am9RvLMW2OUK9f/OKtuOQa/qyUrhNoavVpcS/dTxR4wB5//PHqHEKAcR2TJVDB+xO/VM/n9Bqc8XNLWX9eXl5Cap5sgjmIpj6o2Wz0Js0mmFvjBa0kuYLuBWc7OL/MsRBoNsKkpU48MMeR6KNk2dT8rxNMc1ctUmXbXkD5DUFKzIalSDQEgUj9z/jPC5sN1qpcvdgRqKxLKE47NmurflY0sYtinDWMPUi8ior2DVsVjg9TYB+J3/LChQvFVphcC71A/EFfBJJcVDwFFW53bJES1cEOJSpKBtQmPOIavmslqv77Dp6oXKFSVBIVctUpsR0c0g8cvVSogPIeU+WNJgNHvN3IePvp7xYtOEUpmK0y/mg4t/fJ6nnYvAlKSRmLSIV8Q31KY46+ffuWaPVpLED+9+zZUyk+OVdewUk0AvXn9Svlu7mT1evzep+S8eOzpaxf3+Omgjc+HyLTBInL3ArB7qVWdiRq9sH5RSlmYyk/VgOMEQh3G8F9y71D4sgU6levI60PC3mjenVh51xCupHwi2eNYDORiq3Zx1O/Ua8vOObUrH7Ws88+q6pxKlSooM4H588LH3zwgaqa4f34hH/11VcH/f9ll12m4rfIR6SlVCSBSpVAs7qN1Xsgx6nKiAR7I8bd5MmTVbWOl7cqWL7RbOMkziPK2USSqiZ9uk0lNL2gSfMgr4WORLWERKXpjkPAPFGZlAp0Ob9ToiajRN0RLucv9EMN/9zBwSF7JCpKQ8qPTASWkHOUPZkiUTHYh7hkE28KkLiQudks4y+KwV37SsVyObJ2x0YZN3eqKpcrSqRyXVADEGTiJ2dSqWs7CP4I2CEraWKCCqXo+YxGoILXR3+k3tu/Q6/CLsWZBkQCn4mfoSmgXiMYRo1qAtWqVVON9UgYmSDaKaH0+mySFCQ0nC9qdgCxRjk/AbqNySBIStYiW+dZG3zDQd92PdUxoFhctmF11D0FBCBkdKLJUVuJ1JE/TpDt+XnK5uXoDNq8FMX7778vt99+uzzwwAPKm7lLly7KpzmWen7ChAlywQUXyJVXXqkSwKeffrp6FG0CBWnKuqcf//nPf6ISqIBmig1qhAjvaI2hIGq5Nzi+WElfzhNYuXGNUfsa5nuqm0ytdfHA/EfFk41rTe3ataVVq1aORHVIHXudEtUfVAyX8+dnkETdvR1pUeh1jrnAPMjl/HkFIbVMJjoUOziUZOD3CXGDh6VX2RveU3EV9lkARJ0mGPwGm2z80kx6oRLwEVD43agD9f8p3Y9Xr+fmrVABTiSRCrmM6gPCgeDFdOAcFKBGxfIAwoHgUis9YhGoJAzfm/CFen35cWdn9dggeemszZxgCpTqMd/Q6MUE0W2yjJHg0Cto1b6oQS5jtBkQqLVq1VLn2EbPUZONHYPiGw5qVq4mXZocrl6Pnjv5ELKMdYx7neZhyVSy2UikfjF9lHoecsQJWV2Dn3rqKbn66qvl8ssvV/fHCy+8oPwpX3311ajvf+aZZxRBescdd6h15aGHHpLu3bvLv/71r4Pex96OMa0fNWrUiEqgarSo20Q9R/qiFrXUYywuXrw46nE1qFmvMIYsqmYtac0UbV4Li7svqtstG8buvXvUsyNRfSJRd8Yv56cMjg0ED8+SOO2HWraCSDlHAiaCSkXK+bfvCilSK1fINXpcDg4lwQ/VhlJ+E7YdfG9UuCYDV4IJAnoTjTouOfZ09fzlzFHSqXuXQiIV9QSKOALKpk2b+n5cQQcqD5IWqLshTletWhWVQAWfThshW3ZuUwqaEzr2znpwwv7FpBpVB9WmGkzpwNGESok5Np4K1pX0Zw+cV5TiNvqhUqJMQtHWUn4bfMMj0btNN8kpV17Wbt1wkP8l5xDiirk2FaLcJiI1f0+BDJ89Xr0e0r1/1j4Hko/1acCAAQcRlvx74sSJUX+Hn0e+H6BcLfp+7jmSQ/joXnfdder/YxGooEW4HH/Z+lWFFblF1w/IWojY7du3H/L/CG+osAFb8syW0lP5YLKZos1rYaK+qEFdCx2JahhOiWqfElWrlnh4TjqFfqiulD9pJWp+iJxevz1kGF+7ij/+gA4OxRU2+6Eyj5r0Q2Uuh7w0pUqCwKWZFMoPEyRyj5adpW2DFrJrT4F8NXuMHHPMMSpwhEilfN9GsiEowCeO8wmRSnk/yoqiBCrj/8URofJGui7TSDHbaNOmjVJDmihp14CYZ5yZ8iaFNDDhVYcK0vmimoPNfqiQf1SCmKjISGSdIhFEKb9NMcNRrbqo12PmTZGCPbvVcaL+p3qCyppUYQuROnXxLKWorFettnRr1iFrn8NaQEVMUQKff8dSKvLzeO9Hqfrmm2/Kt99+K48//rgMHz5c+aRybmPZJ9WpWlOqVKykCNQVUawa9DzKGsK1jhaLV8sN/e2tuw4lWf0GAgZIY9uISsA8iI1UNDLaNGoH3BfVkaiG4TxRA+yJqklU54eaNIlK5pWxvyHcdbN2lTDJ7eDgkFU/VDamfoPPZfNu4rPZPKK8NKm0pCSNrsGm1EcQtxeH1ahvjv24sOkOjYgo+7Zx4x8kULaen5+vFKCcz6Kk4YgfJ8hPqxdLpZxcubhP6DpkGyh58BubO3eusesLSUHiwkQpIZ+LMsrEZyfqi0oSwyTJXdz9UCkptg2Mx6JJFltASS2kF8o6m3BE845So1JV2ZG/U8Yv+F7NaZCnmbAcsIFIHTVnkno+7vCegWywe/7558upp56q7ICwK/rTn/6kksZ4msYC31OrUZesi13KjYUAyahoZf2QsGBbuKLRJBAIaN9/24A/OOPcxpL+2gH3RXUkqiVK1PJly5k+lJJDomZKFeGUqEmjQrkcKRtWg1GCsWVnKDNWu6pTojo4pAoInJkzZ0rv3rHLhFGlmfJD1WoGE36bBIYE06aUP5C4ixYtMqZC1TjnqMFSsXwFmb96iXzw3edqrBx77LGHeKQ6JAftgYqHG8QYag/uxcjz+ew3b6tniOzqlfzzT2/ZsqWyJDIVPOlyPdMl/SYQr6QfgpfgcerU2J3HHZIHZBhzPeSLbf7OuiLDxlJ+jg0lnY22LoiMBnQ6Rr0e++MUmb1wrrJryNR6appIHfvT1EISNZtgTiK5hCdvoh69urt7Iu/XHqhnnXWW+iz2PV7QvqhL1i2Puf+AAKS6I1pZv44l9+/fJ6bBXEO1k+0l/bYhNzdXke+Q5DY2v4oHu1aYEojdTonqL4l6YH+oIVQmoFWtjkRNGGx6qoR9URf8slQtnKhztELVwcEheeBrSeDoVYbHBsW0H6opkosmQKYwf/58FaSZUOFGolpuFTnziJPU68kbf1LHA6lOKXpxJFLHjBkjQ4YMkQYNGqh155NPPsn4ZxRtIoUCEQ841Cg6gPx+yY8yaeEMZdl0zQnni58gAKWsH29UU9cWf0XOB0p4vwFZRXMSkky2NZcCeP4xfhwyB84nBKqNKlQaNnEf1qxpn2iAapG8vDyja6UXmtVpJK3qNVVz7sayOxX5kkmYIlKxNpuzMrRW9G7TPaufhc8taxVl9xpUTfDvWAl4fh75fkC5ftH3RzaRwsqEuS+e4rpJ7QaKCN26c7ts3BG7SjRWWb+2xdlnwC4mGjhG9rokzm0DayH3uG3HVqpUKUU+k2wN4lroSFTDcJ6oPqFcxVADqASbSyUEp0RNCU1qhzZp05fOKfTGcXBwSB2ayPFSZhDAmQgsUcKhIEB55TcoA6PU2hSBS2kpygSCetPgWLpUbialS5WS8Yumy7xVofK44kqkQgh06dJFnn322az8/aIEaqRHKsE45DkB1VNfhboen3XUIDmshv/3ACWvlBma6n7L+MLKAgsJvwGpzZxXVEnlB/hcyAQaCcUCYyeIgaPN4Hwy5mn0YhtMVmTEA+sUCQ8SL7aiQZkaUqlCruwus19mLst80zwTROqMZfNk/4H90rBGPWngw/pw++23y8svvyxvvPGGSq7RBIq18vLLL1f/f8kll8jdd99d+P5bbrlFvv76a/n73/+uiNIHH3xQeX/feOON6v937NghV155pQwdOlQR8CjrTzvtNKWypwGVF6jAbVwrtHYuWbvc8726rJ9mmBq27VVY50iQmG5UFg3sS7DpsFGNWr16ddWQLIhroX0zeQn1RHUkqo9q1ASaSyXniWrfZs1mtK7ftNAXFTgS1cEhPWgyJxbYbKLIMhFYsmlDSWCi2y/kCR5vJiwMdKdjyONYzRX8AiTa5MmTpVOLw2Vw15Bv7gsj3i38/+JIpA4ePFgefvhhOeOMM3wjUDW4zyhBfH/4p/LtjxOUYuaWQZeKCUDYENBSLmfquposJfRqmpLtoBUS16uxlSNRMw/OJ2Sgbb6episyvIAaES9n1GC2AqJv3eo1cnqfgYVNplAwBp1InfnzXPXcvXlH9QxRSMIJT1EIyVGjRsmIESPkm2++ka+++kq9Z+TIkUodio8k4525HeuQRNT+5513njz55JNy//33K0sErGcgSbXFxPLly9X6poGy9N1335WXXnpJJSU//PBDVdVBR3VAxQV/469//auazyBUeR47dqya/+Lh15J+73MNuY/PMedFJ6Z27Q5VGGBTZAu4h0wlLOMhmjWDDahevXpglaiOuTOMPXtDk54jUX1AxRoi29fEbS6Fmgv/Ov06JpwSNSVQwpFTrrzqsgkciergkB7YfESqB6IFIARKJnxBvfy2inPQykYfdU/Pntn1OYsHiDPK4PBC69y5s1xfrZx8OWOU/G/y1/L7U65U83EkkTp+/Hj1b4KkIDa5yDbiEagaqHKGLZ9c6EfbPNxEwwQol0N1hCrbhK0E9yDNfpiD/Fbh8dkE3iQSuAf8AvcORB4llLHKtynnh6jB7gDyxiF9tf2cOXPk1ltvVaowm0BFBqo9ExUZ8UDpNfeljRYIGqggmVO7degmK7etl5Ubf5GhM0fLeb1Pyfg6pYlUEo96/szW2jz755/U62pSQRGljGGsCiCWmD9ICDBv8eD/WHu0Hyx7DJI0zB8LFy5UpdqMe/27zH3R7gNUpFpJWhTRGvycc8456hHtmrDHguhNNVFMcynMAlZtXqtIUS9ClO8DaQtpjHJxZ0GIRM3NsYdEhYxmv8W1MpW89zp/jBMT67AXGKvcY0VtI4IAe85iCVeiOk9UP5tLeZfzs4CxEePh6buzy5GoqQBVju7KCOpUcSSqg0OqYOOMepCAPBYI5Nnk+r1xIkjARsCEBxwbRRQdpkhU1Ahsok17oULkEiT36NFDBWJHtOioGljs3b9P/vn1Gwe9tzgqUk0QqGD8/O9l+oq5UrZ0GTmx8ZFGzyUqHvzaonU49gOQMwT9kLh+g8QR856XIjRbgMxg7vX6f5p/BVGBYyNmzZqlAnKU17YlgFgHWYPLlbOvibBONtp2zjSookEpS+d3jnFQl2OV8GjFxl9kRljJGSRFKns25mIIyxmLQ7Zm7Ru3VuQoFRQnnniiWq/xs2adgXhnH6HVouyn+Bl+35yTXr16yaBBg1T5PGpNiFOUqZCbKELZA2TakzrSAzWdShsaLdaqUkPt15Zv+FUB6yVwgkjlHG7L36F+rvts2AAqrrg+NpbNc504hybWQi+wT8augfEUtOZSjkQ1DOeJaoJEzXA5vyNRk0ar+s3UM8FNzcru/Dk4pArILsivFi1axHwPgbyJUn7UN6glTJSzE0RAHpko64Qwo5Sfa2IyMOX8kwyktJzyYg0UqOC9CV/I8g2rD/odR6SmT6ASED70UciL9cJjTpXSBQdk1apVYhI0nUMVzpjwG9wDpkoJ+ex4ZGa2wOdCAHmB8TR9+nTfjqk4g/Noa1MpU2twPDC/22ozoIGKHp9bLWqpUama9A13sqesf9MO73vMFiIV8gqVIopTzjn7g40FoWM/tlsvRYymY3vEGs91RKUJsXrSSScp9S4+onwm63km5v9MEaga2hd11eb4xCNkMo8ffpwlOwt2qZ/VrWo2UW2TfU0i1RHx1iQTaNKkiVKjcn8ECcWGRH3kkUfUDa1l8NGA18cpp5yi3sNkdccdd3iavvvqiVrWvuxksSznz0ZjqYqOBEwWLes1UY8eLTo5FbaDQxqA2EGF6kXWmfJD5XPZZPtZRmuDugbVER3BKcUzXcZPEFW0hLRnqy7St10PpUZ9euhrh/yuI1JTJ1DBR1OHycxlc6VyhVy5Y8hVyksOlZyJLvEaet/LPtgEuBcjvfb8hKnAkTmXpnpYCcSC80XNfFMpG/1QbSVRGZ+o+mrXri02gmQo6jRUmZHo1qy9sqIhhv5i+shCQZKNRCrk6cSJE2X06NFqP9KvXz+1vlapVV3ywkSgJhIzCTxJIWr5vN69eysClZJp7hPKzW0gUEGjmiGF7epNiSXZSJTMXhhqLEb5P83GbAJrHePWNL8UDaYSisW1uVRGSFRk4kwudCM1Ua6jzZjx7KDTXDSwiYFA5X0TJkxQnelef/11Za5sEq6xlH2NpVhoKIng4Zm1c0rUlMF4P7PnwMJssoODQ/aaSrFpMhFYmgocTatrCDK0l5kpcAx44bKORcMdQ65Wz+9N+FLmr/61462GI1JTI1B37s6Xv37yvHp9y6DLpE7VWqrsEgKTQNzkeaSkn9JOE8cAGUHgDmlTUgJHlGGUb3sRuI5EzXxTKdvISt3Y0UZyl3WSe5OqDdvAeZs7d66yZyjapAgy8uSu/aRC+RxZu3WDjPlpataOI1UilYoEPCjHjBmjbEUo06dkX3vTr9z0S6GSskK5+E2Y0gEl5vizH3/88erflPqTUEtmLcgGgQoa1gzt09Zu2yi7w31ivKDuo9zQ3qpBDfs8hrFTIGmJnZRtsJVErVatmtqflBgSlY3Q888/L8cdd5y6mcj+kR1gsuFEXH311aqznF/485//LLfddpt06tQp6v8jZWcyfvvttwt9Rx566CF59tlnFbFqCs4T1YASNU45v164eXguMM4T1cHBwTCYp2Kte5FNpUyU1Jsib9mfsK6bUNeQVMa/jX2QKZD8Y1yw14nlwdejZWc5uetxsv/Afnnkk1DpeXEiUmniQtdgHoCSRl4no8RMlkAFz33ztqzevE4a1awvV59wXuHPuUdRKJss69eKZBNl9ZA0xAcmPpvAETWYlyLUlJUADdwgtpmnHVIHaxxl38y7NjaVMmVrEw82l/IjymItj2VVVKViJRnc5Tj1+vslP8qiNcusIVI5bvxIWW8gHbnPIy11wIbtoarIutX8K0dnTWc9w+KHPQLNsxJRpWaLQAVVK1ZW15J7eM2W9Qn9zv6KIRK1Sc3MK3iLc0k/+3HWQs61TagWboTGmAwSUmLunnrqKVU+jyH6kCFD5J577lGZdsxhmfTYbDN54MfBpPN///d/0rp1azEJpPRsYrUxM8CEGeWq9gwrCkoceGhoM16CpFRNmvXv6eeC3QVqMJc68OvPHNI7p7FQunwVYdrdn7dR9nm8N/LveF3rsvlbhELRPWUr8UYpiefUIXG4c2rnOQ369aDzdNFSt0iwbunmKn5CK2BJrvoNyC+CHhNKUEgyzrdJ1RF7MK1+9MI9p18vw2aNk29mjZMJC6bL0W26xyRSx48fr/5NMJhNiwSILlRbkEq81o0GCEYhhAlEIabiecdNmzZN+vfvX/jv22+/XT1feumlqgopGwTq0nUr5P++flO9vu/MGw9SF6GkYg86e/ZsFSyYUH4xB+A9xrk0QZyw/+b+QFnmJ1AFcb6ZC/32y9RBayxwj0JK0CwF2weH1ACxBVFp2ofaq7GjycqEaCC+5dhQKNoImi9Bins142pVv6lqlgiJOvSH0XJptTMVKZdNIhXiEeDhGG3fw71MZS4+1DR+inXdN+0IJVdqVPKfXGdNw1uU9QhVKmsTKu5o9042CVSNetVqy/ZdeYpYxqYhHlZtDak8a+SEVL22gfV1ypQpajzYNB+RYGIfAMlvkzK+YsWKynqKewdOzO94JVWktItDYYo8PVaZGBPyFVdcIS+88IK89tprilA1TaKSEYgkUIH+d6xswaOPPqoUrtFUrZ5d2xPA8OHD1fPsJT/K7n17ZHTBd1I1x54Oc0GEPqex0Gjjz0LR68aVi2XCV1/FfF+kb9mwYcMOyR4qHNgvp+aHNsbfjp8mBeUWSkk8pw7Jw51Tu86piUYrmQIBECVDXusrijwTyhzUDabUN6jdTClBUaGa9EJF7ciYGDBgQNz3EoBe1Oc0eWPMR3L/B0/LsLtfkzKly/hGpBJgcLyMYx6Qp2zuCZoZsxBfeIvpa8r7uV95sOmGTCUQ4JmAMJKYxAcuVeVsKgQqn3X3e09Kwd7dctzhPeXUI0445D0Q2xADPPD/MgECFbz5uDf9JnIJLAnaUYmn00AlnYYafpOojGMv9TPHRhKMZJgjUVMH5w9SyzWVShzEvtwXUWMcw2COZ84/4YRD59GiwN971aa1SsX46bQRcv7Rv8maRZ4Xkcoxk7xjfoNwpITeC9t2hdTnVSuaIQKZg1njWO9Q2LJ3wV8/krT2g0AFtSpXl0WyTDaGieV4mLdqkXqucqCCSrbalqDQ1x5hIXsTW6DXQlNVYl7HRQKMfQkJMZOVXMkgpVnmP//5T0LvI/N+7bXXSqq466675PHHH/d8D+UbZHqygbvvvrtQvQDIJjNhorBNdTJB9UTAjzcKE9WiYRuUIfagfoOkeq6dGRXbUfScxkKpheVFlrwgtSuVkZNPPjnm+yLLqlArE0AegvxtUmpaKEA74ZQzRMratwnx45w6JA53Tu08p14qIduB3xYl616bdVMkKps0FJl+b27ZUPPZRx55pJgYj5B+psgQbUXDZjTRwBhv1E+mDZcfVyyQN8Z8LFf0Ozvq+zJJpBJsQiyxWeacQXxAMkCy8Zpj13+b///qq6+kR48ehfc4QSqEmCZe+Vv8DIIQpSV/I9VjS4VABZ99/618N3ey5JQtL4+e/4eon8/P2rdvrwJwLLCK+vz5Ae5JCGjGqd9qVD6XcURg6fdnm/KCY+5lDvaCJlEdUgfnj3s/6n7dMJijkplL/ILNpfwQd6i0ExEsYYc3pPvx8ta4TxSROmL2eBnUpW/WFIDRiFSSf/RbQZyFqjORfU/BnlCla8Xy/q8D0VSp06dPV+t7r1691BrsF4EKalepcZDFQbx9zuwVofmyVZ0mqrqBe98mMPYYC9xjNpGokWuhbURljRo11L3EXG7bscVC2qkaSq30AGFD/PLLLysFCmX+ffv2Tetv//73v5fLLrvM8z2xvFJiSasjob2ZYi0ibHCjbXLZyKdLgvD7qADwI0O2nFuhoiNW0kTc61I5RDSUKggpXbz+Tty/uSNMtJatIOUMZRH9QCbGusPBcOfUrnMa5GsRr5QfEMDHK+suTuobAlauKYSN31i/fr0iTUwF8nw+3z+Z8kyCl7tOvUapKB//7EWloNQBTaaJVMgzVJgEFoxJfp9AI9nSLRQ0BLI8Iq0jIFOxbuIaUDJOcJjM306VQEU986f3/65e3zToEmlRL3ZAp5MeJED4/iaDOxMECnMCY9QEico59xuMRcqmSQbEWmsciZo+OH+MKdv8UE3a2niBklnWi2yJkNI9NubyaDZ7sVC9UlU5tfsJ8sHkoSohWK9aLenePHvzaySRSlJwyZIlKjHG+Ux0TdRNlMqVMb8HZU1l3zBjxgwZN25cofWKHwQqqBXec2xMgERdtXmtskKgauaYjj2Up7RtJCpgPoKIjlW1bQooUPGItw2VK1dW15G5HGFMEJCy6QAlOUwYbISZNDDsRynwj3/8Q1566SXVAe6TTz5Je5Lib3s9Ei0J6t27tzrmyG5pKJiYHFAGmGwqBbJVeuAQgZzwQlCQAeVZvmsq5eDgYD+JirLeBKlnkkRlk2jChwoSzpSyR6tQGQ/JJgYu6XuGdGzcRrbu3C4PfvhPz/em0mwKixyCTZQ6kNuUaBKAJktyxgLXGhUDCmCqR7BT4Fzg9QZxm00CFfzpvb8rBU3bBi3kpoGXxH0/e06CGFNWIrrphYlGYbqUsKQ0lyJG4X70ahyFtYMjUdMD54941DYS1damUtwLzJu2HRdgbmJdSDb527ROQ+nX/ij1etTcyfLz+pWSTcBRQJBBlPEaojyZfYcmT/fss8OXn3Ouy/khhXnt1/jQPra7duer6lwvTFn0g3ru1LittGrRUq0nNlaUkSxFoWxb3wWdyLStuVSlSpXU3itIa2HKu9c777xTSdbxRsV76je/+Y2ccsop6sLgcXXNNdfIY489Jn6BrJXuvMomSXdl1WU0lOCzcb344ouV9wdel/fee6/ccMMNRkqqgCNRfYY2oC7YTsQZ820sgkjJecRcEMN+qFLRkagODg52kqiUOPPwO7CEnNFkZkkhb9mQUt1iikQl8ETxRjOLZIGi4/EL7lTr3YeTh8rIORMzQqTycyqURo4cqcobURegvkzXU94LVPjQ9BSiFlUDxC3NQ73Is3QI1C+mj1R2CJzDZy69T3LKxU/sc1/gj2pCGQmoHmO8miIzTXyubi5FUGtbSb9ToqYPzh9Elm0kKuugCVubRNdJm5reaBDHe8ZfHjiieUdp36iVmt+wWFm/LdSYMBtgLoFA5VhZf1nrkoEu49+1+9cG1qZBQyyIf9ZBhGeRzbWzCZow6oRqvPMxadFM9XxUq84qScVa6uU7bQpYIvBgDrAJzJHcWybWwnjHReKkRJCoNJd65JFH1Eb6ySefVIbE119/vboJeNx0001qcvEL999/v5L+P/DAA2qzwmsemDwDFrAvvvhCPaNKveiii+SSSy6Rv/zlL2IKOttStkwZKxeyYocKYRKVrN/eAs/NNj4wPGIGe06J6uDgYDmJylpIktBvywIsfci+lyQSleSxVkSaAMoR7I1SDdbpcHx1//PU6zveeVx25MdWziVCpKI+xUIJArNr167Ko9bPhDX7UBquYSuF/+d3330XVZWaDoGK/96d74R8+28edIl0bZp4yS5EL0E3SQ6/oVVesZqqZhPMCYyNyAaefjfUMBEceilRGaeMTezRHJIHRA/7dZImfjYsC3JTKYgdG4+LfQM2A/hbp3qfD+x8rDSudZgU7Nkt/5syTHV9zzQgGknQQaCyvlFZgUArGSK1QvmQb3l+2BvVNLQHKus6lcXMl9jj+KGk5Lrlhs/Hzt27PN877qcQr9OrdcjugbHCOm6issLWpKGta2G8dZJEWIkgUSON4bUHWGTwwGs/We7XX39d3UBFH6hkNZjsaFDA5MckDfnrd3fSaEpUG/xQSgTKR2SoUaOmg/zw5ONIVAcHBwNgfUuERC1pTaXYd5gIDrXHpImEqK4ASteM/4+nXaOCz1Wb1sif//d/cd8fi0jFNkmrT7F2QiliCpQjHnvssaphAUEvSht9nOkQqPv275MbXntQNuVtlU6N28htJ1+R1O8zRnng52aypN9vkNBh3JhQ5+gyRr/B9/VSojJXMv4Ymw6pJZBI0KSqXiyJJKpt3bk1iM0Rr6Szb6HR1GlHDlA+mxCoH00dllGikvWDdYNElPa61R6pyRCpFcvlWEOiFm0ixX2kS/tRpPqB3JyQj31efmybm6XrVsiSdSukbOky0qftkYXnnkSKbcpKk2tOEI+rfPnyag5nHPqlgE4XaZlRFV2sbFu8bMeeQlNpV8rvC0qX+ZVITdcXtVCJap+fkIODQ/EHQRCBuRdxZsoP1ZTKBV8sEqMmmkqZ9ENl04kaI10VVqWcivKPS+5Vr98a+4l8M2ts0kQqzShQoFK2j/rUBmUYykuSDZCpnCuCQqqnUiVQwbPfvC3j53+vAr8XrnpYypdNPhmO9QLHY0JBQ+MQgk4Tvqym1DmmPjdeOT9gHk+2HNghBEp5SdTYVspv0tbGC5S6s1baSO5mquFdxfIV5KyeA6VSTq6s27pRPpryzUEWeumS9pA8WBpG8h7JEqlVc0PjlSZJNhGoRT1SWdv9SLhpLmTfgdhend/+OEE992zVRapUDO1tSdZy7jlO22Cj4tNmhWyjRo3UuGN/VuxJ1Msuu0zOPPNM9aA059prry389xVXJJeVL4nQEzpZMwe/fVF3eJaiUsrAg9eenqi6WZWDg4ODj2CTAYGFiikWIEiy6T/pRd6aUsCa8HljneA703ndb9C0ZOXKlarRZybQp+0Rcu2AC9Xr2976qwpAEyVSCRw1MWljt1wCmj59+qh7B6snAsRUCNRx87+Xxz59Ub1+5LzfS8t6qX1XPpvrh92A30BhRMUYyq+SRGZ6ldVnC8zBMfeSYUACBiVwtA2cN0gU/AdtAvc2dh1ea7QJkDyBqDCRYI1HOmfSV7xabhU5+6hBym+T6opPpg6P27QoHkiGzJs3T5XwR6tkTYZIpeoDrNxopsmfF4GqQUKahCg9ZrJtPaPPQSmJvX/7Yvoo9YxlQyQYM4wd28Bax5ixrbmUqbUwkbUShXexJ1EvvfRS9UXZlPLAY5RNgP43/4fnqENs6Mk8FQWDQ5q+qB7l/GRpCbB4xOxep0nYHLsy3w4ODiUDZN0hYbwIQ5KbJgJLU59rqnRSNw/x23sWsNlk45nJ7333adfK4Q1bysbtm+XaV+5LKPBE2cR6yTmAFLTRn0wfJwENCtlUjnP15nVyzb/vlf0H9svZRw2W83ufkvKxQGRANpsq6TdV0keMYOJzmZO49l5NxrL1uSjXvLohM5fbqKQKAjhvJARsI1FZB1HJmbSN8yrlt616VHtW09U8U6hbrZac2XOgUjn+vH6lfDFjlLJiSQWsFTNmzFCqca+EaaJEasOaIbJ4e36ebN253ToCVYM1irWCSpNsIt5avHbrBpm8+Af1+jfdjz+ksoJx7bfXdjwwJ2E1YlvpPMcFKe61JplATk6OtariaEh5Zn/ttdcyeyQlELudEtWgEjXNBWv3jkN9Vh0cHBx8JlG9QOBekkhUNqpeHrHF0V+OcUApfyYDYjrMv3T1IzLo0StkwoLp8sgnz8sDZ90U8/00xNEKVIKx8ePHq5+jYLEpUNceqNgMcJzjxo1Tm/a2bdsm9Pu7dufLVS/drcjlDo1ayxO//WPa349rx3FA7PntIUxgvHTpUl8/U38uykzmJz+bjUGcc72Yn/xU4envyPeNZTXCXO5nM97iBO5r5l8bSVSuvU1zoM0+rZSMQ4Zl+nw1rFlPzuhxkmoytfCXn+Xz6SNlSPfjpQwWb0lg8eLF6h7WPqhe0ETq5MmT1b/x5C4KGinVrlJDNmzfLCs3rZHqlapaR6ACrkeXLl2Uz3mm7BbifV40/G/yMEW0Htmik7qmkeDeZ0yjRk3XGz5byUoTlUrprEkmUKFCBZVECQqJmlY5v0N60OqOcj5vnEs0dPm9LsdPFYVKVLvKdBwcHEoGEiFRTZCZbHJ18OgnIKFQGZogM00FpZSL0sQpG0FN6/rN5JlLQ/6ozw9/Rz77/tuo70PZBzHZvn17NR5jNZsyjaJNpDjOXr16ycKFCwsVUF5AsXHja3+W6UvnSPXcqvLKNY8WdhNOB4xX1LsmOrPz2VpBbKK5lN8l/QTnzEt+q5VQHMf7XKdETR2cN4ggv9ccW5OJQSVRM1nKXxRN6zRUzaYgTiFSWc+SKe2nJBvisVu3bgkrixNRpDav00g9z1+9RGwkUDUg2vCAzWZZv26wFa1PDGvUW2M/Vq8vPGaIVc0Sg+g/msiaZAIVwmR4UNbClCSQt99+e8Lvfeqpp1L5iBLliVqujCvnD6wS1ZXzOzg4GABl3F5dzyEVIbj8Diwh9vhsv4NHghyUfCY8YNkgt27d2vfPpRyd85wtzz1K5m446SLVROnWNx+Wtoe1kLYNmh/0njlz5ihCjCZJGppItUWRWpRAjSQRUS5TotmvXz9PJeifP/o/+XLGKGW/9Oq1j0mzcPCbLjgvOvjDBstP6HHDvZNoMJ0p8HkQuCjPTJTW+414AavzRE0dnDfmH9sISxtJVN1UyrZmV+xV8GqtVatW1j4D7+ozepwon0wbLovWLFPPpx4xICFLvblz5yo1abLHF0+R2rVZe5m6ZLbM+HmunHXUILGRQNXg2PFfX7RokUqaZhIkW7E1ALphVCTGzZ8mS9evlCoVKslpR54Y9W9wbWj6xd+ySf0NKUjDTdtgI4mak5Oj5qagrIUpKVHZcEY+XnnlFXnxxRflu+++U4+XXnpJ/YyMhUNs7Nm7J2bWxcFyElUrUV05v4ODg4VKVDZHWnnlJ/hcstx++4PqgNXvzTOfCyljIijVpXXZ/M74ox7T9gjZWbBLrnjxj7I571dvL1SwBAeoc4oegy2K1FgEqkarVq2UssirlPqVUR/IiyP+o14/fcm9cnSb7hk9Rk2i+n2OuGamugejbDIRwDFHxGvylK3PdUrUklXOb8pOxwskTLjvTTR+9AJzkPaPzCaa120sZ/YIeaQuXbdSPpj0lezc7T0P0YAHlWyqVkFeitRuzUJk5PSf54jNBCpg3HAO+BskyzOtQt0b9qqGKC2KN8d+op7xIa+UE738nDmAe842YpDj4r7z24s73TXJ1DFVrVo1MGthSiTqqFGjCh9DhgyR4447TmUnpk+frh5MEv3795dTTkndcL8kKVGdJ6pdjaUSgv59p0R1cHCwkETVfoN+k4o6cDRBZppqZkVA6nfzEAg3P/zJ2J+8cOVD0qBGXVm8drlc+twdyhsU5RCJchQpsdS/ponUeAQqgPCHBMYbNFpZ/7Afxsh9//2Hen3P6depJiWZBl5plEiiECsppYamAjhTStR4n8v45DqYIHiDDOYU7nNUaCYa+3nBhK2NrcnGeMAz0i+LAUr7z+l1slQon6MaBf5n/OeybVdYGBPDCxWleDrekbGI1O7NO6jnH1csUOuqrQSqBvcZ63qmmyHuCKtQK5avcAgnQkOpr2eOVq8v6Xt6zL/BHoy9mI1NnICJdSeIJGqVKlWKN4kaib///e/y6KOPqs6IGrx++OGH1f85xIbuEFjWeaIaUKJuixvUeJpAu8ZSDg4OlitRS1JTKZMkqgl/OQg31CDZLH/UqFO1prxz41NStWJlmbJ4llz77/vkxzk/qmCqWbNmnr9rikhNhEDVIKikuRSVVZH+oN/NnSzX/Ps+2X9gv1zU5zS5aeAlWTlWbAQIslH2+g1TSlSTZKYp8tbrc9lvQgLY6OlnMxi7jCPucduIQRvL+W08JhPrKI2JLjh6iCod37Rji7w99lP5ZfOh8y/JwuXLl0vLli3T/sxoRGrT2g1VgnL33j0yfv50sZlABdxjVG/osvlMYd22UAKzZuVDK3qeG/6O7N2/T3q27CyHN2wVOP9RU17ctq7B8Y4JDrHEkKhs5NevX3/Iz/kZ/iYOsbEvvFkvm2SHQIdMNJba7hn0MX55xOzgWthYypGoDg4OYsQP0yvRY0oFY+pzTZVOonow2cwKJaUfIHh54/q/SU7Z8jJs1lj565cvJux16jeRmgyBqkGQDIGqN+8QqKhuKTMc2PlYeeyCO7JK0hA4mAj+GEPs4/1WCZsKKm39XO5jEiLM6w6Jg/NVvnx5Kxsl2UhY2mgxYCoZWbtKDbnwmFPVc17BTnlv4hcyb9Xig96DXQ3KuEwdW1EilTXlxE591P99M2us2EygarCmksDNZDNEFMHqb1eve4gK9Y3RH6nXt518Rdy/YyOJaqvq00Zit3Tp0lKzZk01tvxueJkK0t59n3HGGXL55ZfLRx99pEr6efzvf/+TK6+8Us4888zMHGUxBZkVUNqRqMH1RHUkqoODg8+A8MBjyauhEAoKE+WNJU2JSvltzGRbMQs6e7fuJs9f+RcpXaqUjF0xU/757VsJk29+EampEKh6896iRQvVNGPknImKQC3Yu1sGdekrL//ur1m3XeJamihD5Lrg1Zatjsvxgkq/yVtT6hvm4ng+gpSiMq87JA7OF+fNtlJ+W0lUG4+JvQq+oyaSkVRXQKTSdApPzi+mj5SxP00tJHBQoTZp0iSjn1mUSB3Y5Vj1c5KTukLVVgJVr5WNGjVS5yZT0Crgw2ocTKL+a9hbKpF5ZItO0q/9UXH/jiNRg31MgLiGfUEQrG3SJlFfeOEFGTx4sFx44YXStGlT9eD1oEGD5LnnnsvMURZTaJNhp0QNGInKpl+X8+u/5+Dg4OATIAEIyL1IVP7fb59Ok0oXk8rbkmQjgCrzos4nq9fPfvO23P/B09YQqakSqBrsXycunimXPX+nIlAHdzlOXrr6kYS6N6cLCASIBL/JTKwEmCf8Dqa4Z9gDZ7pBia2BI+c43ndlPncVfMmB84Uns4m1zgtca8a3bYSljT6tJI84T6bOVU658nL6kSdKj5ad1b8nLZwpH075WtZuXKeOrWHDhhn/zEgitWluPameW1WpLkfPm2I1gaoBsUwHdQjwdIGVwfrtoXJ+rA001mxZL2+O+Vi9vuM3VyVUCWJrcykbCUsbjwnouCYIa2HaJCqLF2Qp0lv8pHhgzs/PTKgzgoR9B5wnqrnGUrE9Ucl+9OvXTz2iZkL27BI5EJaZO09UBwcHn6HVSjaSqCVJiYpaxQRpzOdSgm1CuUOX4hNb9ZLHzr9D/fvlke/LH//zRMKlV9kiUtMlUAHlnP+c+r4K6iBQX7z6YV8IVACxQeMSE2pUE8EUykEUTSbIW4hqv0sFEyVRnRI1OXC+mFNsI1EZ14xv2xSyNipRSR6hJjYJrhVKx9907y/lypSVZetXyb9HvC/7ckopu4hsQBOp8+bMlYEdjlE/e2fcp9YTqIC9B2vW5s2b0/5bP69fqeZjiOQqFX7ljf72+csqmXlUqy7S9/CeCf0t5gHGN2PKJtjqP8ox+V0NkshxMbaCsBamRKJGk3CziHXu3Fk9ipKneIo4HApKB0DpUv54mjlEeKJ6KFGZzEePHq0eUTfaWoVKVqxc9K7EDg4ODtkCGVo2/V7BECqYkkKisgk0QWbqTbHfyh59/U0Enrq88bJ+Z8lTF/9JqUNQi9zy5sOKfDRBpKZLoLLO//WT5+UP7zymmkj1btRJnr38Qd8IVNOliCZIVMaNicBS36t+f99ESFTu5yCob2wC58tWEpWxZluzKxs9UW06Jry/f9vnNKlZubps3LpZJq6arcr7M1lmH41IbV+xsfr3sB/GyoqNv1hNoGZ6vVq45mf13Kp+08L7ZdqS2fLO+M/U63tOvy6p+8hGwtJG/1G9Ftp2rsqWLavm9CCshSmxdz169JBrrrlGpk6dGvM9ZNNffvll1XgAj1SHQ8FmHTglqo/Q5fcejaXiQhOw5SqRvszMcTk4ODgkCDYXqJa8NpYmlah+k4qUlEGE+R2I8V1RqfjV3KmoD6DfATrEPB3kdXnjhccMUWRjmdJl5INJX8n5/7xFNudt9ZVITZdA3bk7X2547UH559dvqH///pQr5bqe58iObf5v4E0pEW3tWF+cOiW7cv7sgPPFOLKRRLWFGNRgjrXxuGw7pjpVa8rFx54uh+XWUnMF5f3vjPtM1m/bmJ3Pq1NHzjxxiBxeu5nqlYIPqO0EaqZI1II9u2XhLyEStc1hzdXz3n175Y/vPqFen3/0b+SoVl2T+puMJdv8NG0sncfKB6W8bcdVtriTqHPnzlVf8MQTT5T69evLKaecIldffbXcdNNNctFFF0n37t2lbt268uqrr8oTTzwhN998c+aPvBgpUQlAHALkieqaSjk4OBiEJtG8YIJE1R6HfpOobAK1t6Pfn1tSrAsAm1q9wdU4s+dAefP6v0nlCrkyYcF0OeXxq2Tx2uW+EKnpEqiL1iyTkx+7Uj6e+o3ypn/6knvljiFXS40aNUqMIlR/rgk1iil1Dp/r9/flvmF+9BrjrrFU8uB82eiJyviyzXvU+bQmjjKlSkvbqo3lzF4DpUL5HOVX+tbYT2X8/O8VyZcNIvXO065Rr98d/5ks27DaagJVl/Snaz/z0+olsmffXqlRuVqhH+qr330oc1YuVOX9955xQ9J/00Ylqo0kqqm1MB6Yy5nTg7AWpkSi1qpVS5566im1gf3Xv/4lrVu3lg0bNsjChQvV///2t79VG9uJEyfKySeHGhA4HAoyTsCRqAY8UffsFEl1IXQkqoODgwVKVNtIVG1/AqFZEkhFk020TDWzInAqqoA9oePR8vkdL0ujmvVlyboVMujRy+XTaSOySqSmS6B+MnW4DHz0cvlp9WKlPHr/ln8q1YvpsnoTAU1JUqLq+cmEJyrwUqM6JWrxUaIyvvxeBxP1abXtXNmmRAWQg6j0ujRvL5cfd5a0rt9MlfSTKHztu/+pEvRMe0kO7tFferXsqkjFP775qNUEql4nd+7cmXIzRM7f90t/VK+7Nj1c7Svwon38s5fUz+4943qpXaVGsSidN+XFbeNaWJyUqGnNpJjgn3322erhkDz2h0lUFBAOPqF8BPGwe7tIxeQnaPV7Rf+Wg4ODQwlXouqgwu8yc76riQYephQ0EG0mGndCLBI4RcPhDVvK0LtekStfvFumLJ4l1/z7XqXa+fM5t0jF8hUSIlLHjx+v/o0NFFi5aY1s3rFVBZWZIlA37dgq9/33KfnflGHq30e36S4vXPmQ1K1Wq/A9fEeC0pJCKpoKOrlnTZDGzE9+N9PQhJrXXMWcvn79el+PqzishYxf2whLxpdtfqiQOM6nNfmEYeUKleS0Iwco1eToeZNly85tKgnXrE4j6d+hV0pEXyw89ts75YSHL5LvFkyV1775r1x+0rlWEqgAKyMUg5wrqo+TxaK1y2Tj9s3Ke7xj4zZqnb/2lfskr2CnaiZ14TGnpnRcjCUanNsE3ZyMe9CmsW5iLUy0OVixVaI6ZFqJ6i6DbyhbXqRshfR8UXeHu/45JaqDQ4nCo48+qjzBUQyxaTz99NNl/vz5hf/PZpZNSbTHBx98cFBzHmxw2IDyd+64445DFEp//vOfpVGjRtKnTx9ZsGDBQf9H9p/f9QJle34Hljqj7bdHqKmA1VTJpkklaiwSFdSpWks+uv05uWXQpaGGU2M/lhMevlgmLpyRtCIVH7r3JnwhQ2eOlu+Wfy9bdm5Pi0BljHwxfaQc95cLFIFKQ89bB18m/73lnwcRqIDgOR2FTbpKVL+VIYxhv7+ryQCO+cnvz+UzeTAvxwJzOuMuHlDo3HrrrdK0aVMlZoFAiexRwXe7//771f3B/w8YMKCwUlCDSsGuXbtKs2bN5JVXXgn0WghB4UjU+GBe8XttDqpPK0rUyLWOa0mi8Ip+50iv1l1VBSld5d8Y85F8M2ucbA2vT+miXYMWcuNJF6vXD33+nEz9cbqVBKpGqlUbXHdUvaB78w5SoVyOPPbpCzLj57lSLbeK/OvyB1MeqzaWzuvvYhthyXHZpkQtU6aMuoZBWAvtmk1LGJwnqr2+qGzoYpIUrpzfwaFEYvTo0XLDDTfIpEmTZPjw4aqh0UknnSR5eaHESuPGjRXJE/kgAERhNHjwYPUegmiCRkiLCRMmyBtvvCGvv/66Wug1UOR9+eWX8umnn8qFF14oN954Y9KlgmweTJCZwO/g0VRwaKpk04QClu/KhhWC0Qtly5SVu0+/Tt676WmpX62OKu8/4+/XyR/eflTWb9uUEJG6evVq+WLC8ML9Uf7e3apDcqoE6rxVi+S8Z26Wq166Rx0DDSy+uPMlueu0a9XxeilsSkK3XFMlfaYCOOYnU5/rFUQneh2uuuoqtf689dZbMnv2bLUGERyuWrVK/T+9KP75z3/KCy+8IJMnT1b31cCBAw8iFq688kq577775N1331WE6IoVKwK7FjKObCMsTay/QSR2GQNcQxOVJF5gHEer9kE1eWy7HnJ5v1CJP8f+w7J58u9R/5WvZ45JuLGiF/4w5Grp1qy97NyTL9e/+Wf5adHBiQNbCFTAOUqE7CqK2Svmy7qtGyWnXHk5okUn+W7uZHn2m7fV/z118T3SuFbyFj2R6zfzkU3Q951thKWNStRSpUolvDcwvRbaNcOXMOgBEm0T7+CDL2oMEpWbjAWUR9SSSf175f0vp3RwcDCHr7/+Wi677DLp0KGDdOnSRQV8KGkgdnQQTLPFyMfHH38s5557buGG/JtvvlHNGd9++22V/SSgfOihh+TZZ58tVINt3rxZGjRoIJ07d1aEUVEyJxHS0MTGyBSJaio4NPW5JuwLtJ8X2fxEcFz7o2T0A+/KRX1OU/9+e9yn0vv+s+Xpr16Tbbtil2mx5hIYbtq6WdatWycDOx+rfv7j0p9k2rRpSRGoS9etkNvefEROePgSGfPTVBUAoz4dfs8b0r15yDIgFiBR/VazcE8zh8Tr4l5SSMWS9rmJBI50nf7f//6ngsO+fftKq1at5MEHH1TPzz//vPr7Tz/9tNx7771y2mmnqTXkzTffVImJTz75pPDvsL+lCTDrGI3UkvWfs2kt1ApXm6CPyybYSKLq+8E2whly18sOqUalanJ6jxPlvN6nSNM6DdX1hhh8ZdQH8tn336rGUKnOMeXKlJUXrnpY2QSs2LZWbnjjQVn689LC/0eNbQOBqu9zL3V9NOQV7JKxP01Tr3u37iZrt6yX618JJU4u6XuGnNKtf7EjBk1VQNi69mfiuGxYC+2atUoY9u4PbZRdOb/PyAkvOgXbUvt9rUR1nqgODiUaujNpzZo1o/4/AeXMmTNVpjOydKRTp05Sr169wp+RGd22bZvMmTOn8N8QOBA5gwYNUtnRSLBpTYRELSmK0JJGopq6tiCZ60tZ3pMX3S2f/P4F6dyknezI3ymPffaidL/7VHnww3/K8hgdiCkR7tGxm9rMfjJuqPrZytWrpPsR3eMSqBznuJ+mybX/vk+OeeA8+c+Ez2X/gf3ym+7Hy9gH3lPqU9QvNqsk/Q60bCUVS1IwC+KV+3t1WCe5MW7cOFm6dKmsWbNGqXE0UI8fddRRau3RQO15+OGHq//r1auXtG/fPrBroY0kqo2Epa3l/CCo56pJ7QZybq+TlX9n87qN1PeZv3qJ/Hfil/LKqP/KlEU/eCYNY6EmJO2RJ6rXc9Yvkcc+el6WrVgu+w8cUMkKGwjUVEhUzs83s8bKzoJdiiRuVqehXPh/t8mmvK3Spenh8uezbymWJeq2krs2roWlwvN5ENZCJ4E0iH26k7Er57eunN8Tu105v4NDSQebNLx4KD/WjXCKAn8dFmc2vBos6pFBI9D/5v8AKkOUPijx8JzSpvSRn80mw6tkiY0Rmww/y5r0Z/ldSmXqc9nAcZ79/lyuP5/t5+dSYs6GOxWV5BHNOsjnv39RPp3+rfzrm7dkwS9L5YUR76rHEc07yuAux6lGEoc3aFlIcPZq3U3GL/hePp05UhpUriMdm7eVunXqRv3Oe/ftlR+W/6RKAj+a9s1B5OwJHXrLzQMvVb5rINFzxv2FGs7va6vvaz8/V5fU+v1duXf8Hsf6c/0+x4le23iBIwmG3r17K8Umawtrx3/+8x8VFKLA0WtItDVG/x+AzDz//PPVGEd9E9S1UJ8vE+PIC3qetOmYTK2TXtCKY72W2oJk1/a6VWrKad0HyNqtG5QilSZUG7dvkVFzJqlH3aq1pGW9JtKsdkPlwR0r7v95/Sr5v2/elE+njZCCvb/6VOeX26+I1HqVaspNZ1yhiCIbrmOy+8xZy+fLgtVL1V7iuHY95YoX7pKl61dKo5r15dXfPSplS5VJ+3uZ2pfZuqfwgok4IR50fBOEtTBpEhX5LF3PGjZseNDPyRpS1uGQOPa5xlJmSdQYjaXIep911lnqNVLxQwzPnSeqg0OJB35wNMAh4xlrrcRjB6+dVBGr4ykbDNbhr776yvP38ZkzgXjHVZw+F68//Mn8RhCvLY6ft3c5T35ssFhG/DxV5m/8Wb5f+qN6ALRIlcuHvMjz9uxSqhuwcvs6WbR5hYyf/73UqlBNquZUkn0H9snOPQWyNm+jrNy+XvL3/uojWqFsjvQ8rL30bdJNGletJ2vmLZOv5i1L+njXrl0r8+bNE78Ra07JNkrSfWvjtaW0PREiCf+3K664QsVhKMEoRbzgggsKS+kTBdYZUS2rArYWkuCZPj12Ax6ToOzaNpi6z70AUW4bpkyZkvLvNtlfXVZvXy8rtq+TTbu2ykJZKONlkvo/mhpWz6ms1rHcchWkUrmKahyPXj5dRi37XlVOgJoVqkqjqnWlSvlKUjb/AINd+aTi7RjEMbW1YIeMX/GD7DuwX9rWbCo3Pn+fTF87XyqWzZEr2w+RaeMmF/txbmpt98L69esLlf+2YOfOnQkpwU2vhUmRqB9++KHKNtauXVsxxS+//LKSxYKLL77Y2kXMVuwNk6hlSztBsE1KVLIfevKNmgkpVKK6cn4Hh5IImlt88cUXMmbMGNU1ONZ6yUbgkksuOejneMMV3ZwT0Ov/SwRsLlDlnHzyyTHf8+233yoPOa9u6pkG3kKcE904xC9gBA+Z2bNnT18/l/JU/P3IevuJkSNHSrdu3dJWkCUDiJBRo0apa5tu6eUpIvJH1GZbN8iXM0applHTlv6oOhxv3x29ScWm/G3q4WUdcGzbI2VAx6Pl5K79pGL59Lo9c49iHUCDHD+BTyTqClQWfoFSbDraRpa9+YElS5Yoj0sCHz/Bd4WUo6OvTdeW7vaJBH8tW7ZUjZ2Ybyl9Z5yed9550qJFi8I1hDUl0vqCf+M7WhzXQtSpzIfJNJvLNkisET/YJC7i3NKZuk+fPmILUH+NGDFCNYTx8iA1QXa1bt36EBVbKqB0nQaLi9ctl1Wb1kr+nl8Tfuj/VuZvlc+mf6tUrKBp7YbSq1VXOax6HbXWbty4Uc3R3BMdcxqrn+HvWFTMZgKJzuGs7e9N/FJatGopDarXlRFzJigCFf/X1659XI5pe0TGjolzxbxy4okhOwRbMGzYMKXWj9awzBRM7XO8sGjRIiVeS4RENb0WJjVjPfzww2qBZ1Lh+dJLL5V77rlHdUy0SYYfBHC+tGeHie6+JRqFjaXS9US1ZyJ0cHDwZ96+6aabVIOM7777Tpo3bx7zvZQvnnrqqVKnTp2Dfk4Q/cgjj6jyRK2uobsk/laJevFoHyOv5kJstFlb/GxARDDLcREM+elxpoMvv5stcX65Fn5/Lp/p9+dGeqJmKthtXPswufbEC9WDcbNxxxZZt3WDbNq4SZYuWCyvzftK5q5eJFXK5ypytV7lWjK4w7FSJre85JQtJ5Uq5ErzOo2kbYMW0q5Bi4xaI+mO0X5fWz6X+8jPzzUxniLHkt+fy9xk4trquTHW5+quxMmqZ2i+RIBOgw3WJIJHkmg6UCS4RL123XXXFbu1kDmYY/F7rYsHrrNtXec5lnj7BlMwMQ94gfGk54l0Ua1cOelWuYN0a9FBnf/Nedvkly3rZOP2zars//UxH8nmvK0q8febbv2lW/MOklu+gtSoVFV2bd4hQ5csUSTXyd37yYrZi6VHjx6Kg+EYbSC/4s2lu3bny2czRsquPflSo3I1+eqH0TJq7iTJKVteXrnmMenXsVex2JfZuqcI2r1XOrwGBmEtTGonjGeCzsqgcCHzeMYZZyjW2DZT6KCoUEGZUq6c31eUT9MTtZBETb8MysHBITigbJGyxE8//VSpibSvDobkkV3LWRNZH6OVE6G4IECkeoOFnr9B90j+dk4OBc+ZaUBiqkGNCZhqJGDqc9nwai85vwCxx2Z7x44dWVE3M3ZoNLFnR74sWTFfBvTpLx8tH6v+T6tTz+k9WHpWaaNUBXgvZmu8cd/wPTNR6pwM8CYzQbyYaoJjqoO5yc7pXp+bSMNAQJDINWvbtq1aa+644w5p166dXH755ervUzGI6AUlHYEkZfR0uD/99NOL5VrIubBNyGNj12tbG9vosW8TkcNalw2fSK5BzcrV1ANV6i1vPKQIVJKB7938jDSt0/AgNfOkDcsVUVqtSlXlGQ6JSjUwVcC6rN8kkcqa5SUEyyvYJR9PGaYIY9731czRMmnhDKlYLkdev+4JOa59qJq5uDdQA9x7th2XjQ3wDoRFhkFYC5O6mmQKZ82aVfhvujCSNcRXKPLnDvGxNyIALuuUqP4i7LkmMcoG42J3mHx1nqgODiUKzz//vCoV6tevnyJy9OP9998/6H2vvvqqKm0kSCwKNpKUP/KMEueiiy5SZY5/+ctfktrgx2vwY4Lg05sevz/XVHCYbGfaTIFSJ7y7/T7HkKeU7mULWDKgsCFJz311bLseB/3/0e2OUOVwvA8Pxmxdc6wLCKAhhPwE15TzXLR5TrbBGDZREWUqgLOVNE70OrAGQTQSLLJ2UJ5NMKlJqDvvvFOpRH/3u98p1RoJATwnD/H3LyZrIefVNnLQRsLSxmPi2nMN/U4KxgOJAVRr2QIl/Zc+f4f8smW9tDmsuXx+58uHEKj46dZoVFclFA5v0ErKlikrP65fLO3+cJL87s37pUX71vLDDz8oOyNTYA5AOR4NW/K2yX8mfK6+4/b8PPnP+M8VgZqbU1HeuekfWSFQAR7Jfq+h8aDvO9sISxsJ5wNhEjUIa2FSSlQMXIuWcTFQ6YaFL45D4th/YN+v5TtOieovtIJ0d15qv1/YWMp5ojo4lCQkGoD89a9/VY9YwIsvHdN7FHJ4ANlG8OkNogkFrAnVD8FNNgOtWGADSKDgNyBR2bT6QaCC3/Y5VZ74/CX1uk+bI6R/+17qWkOkjh8/Xv08G4pUiGKCaL+JRa4p19bvQAvyNpMEm+2KUBMkqu4Y7WWFQYCXiF/eueeeqx6xwHeDiEyGjAzyWsh9Ey+p6DdsJSxtO0+RScFYZJwJsNYtXbo0a3//0U+elx9XLJCalavLuzf9Q1VhFCVQjz76aPlw+jfqZ83CBOvQxROVunPiwhly8b//KP934b2KSDWhSGV8sx+AwCqKXzavk4+nDpe8gp2yevM6+fT7EcobtnGtw+SN656Q9o1aF7v1zAt6L24jYWkbsbtv3z6VyA7CWpjU1SSbGMvsm02tQ/JK1DKlS1s3gIs9yoWVqHt2pkmiOiWqg4OD/4Dg2b59e9pq1eJCopLMNaFkMUVmmlCiApSZ2VCiRiNQQb1qtWXxP0bKnb0ulv/c9HTh+II4yaYilcDQz4ZspoM/PjfR8ulMgnvWhGLIhPpGB9FeJCpzup8NxYoDOF82kqimrF68wD3OPWcbuWtqPYu31pEgzcY1nLtyobw88r/q9TOX3ieNataPSqBCIqHmBHWr1VLq1Z+3rFb/Rny1atMaueTfd0pBjTJGFKnRKjY4X5MWzpR3J3yubArGL/heqVEhUGke9fXdr2WVQLWVRDVVZRJEEnXv3r2qEWEQ1kK7KPEShP0HQhNz2dL2dCMsMUi7nN81lnJwcDAHNteolmwjUbVyz+/P1WSm38GhqeCPYNjE50IsZjqwjEWgapQvW05a1ji063c2iVSIYr9L+U2SmSbJWxOfa8K+QM+JXp+bqBLV4VdwviBzbCNRTVm9eIF7jXnSROIvaCSqJnDi7bNSwcMfP6c4gCHdT5ATOx0TlUBFlUtDpn379ymSq3JOrvyw7CfZe2Cf1K1aU37821Dp3bqb7MjfKTe9/ZDMLlguM2bO9JVILVqxAeH7/qSvZOxPU2XZ+lXyrirfn6n+7+rjz1Oer7UqZz85aSOJyj3H2m4jYWlbc/O9e/cmrEQ1jZQYPMxZUxkIGLzefPPNqXxksVWi2ibtLhGIU85PcBYzIOPnmkR15fwODg4GYKsSlfWMTDub2MjmItkGG2aIPVQRfmb6TQV/nFs2mX6DtZENN8ETnvjZJlATOZ5Ml/YzjujwSqMCv8E1NRH8EeDVqPFrOalfKEnkLXMxc7LX+HRK1OTB+eK+sY2wNJXo8gJzN16B2jbEFth4rrhPdeVFJm0GFq75WUbOmaj+/j2nXxuTQAX7w3EoqlP2VlMWh8r2e7TorBpTvX/LP+WP7z6hlJ7PDH9TejbvLGfs2iIDpJ8vpf2cGxKrKGQhS6cvnSObd2yRSYtmyuwVC9R7UNn+45I/HeJvnk0wvjOxPynuxK6tx7V3715lVxaEtTAlEvX1119P6cOaNWuW0u8VR+zdHy7tKW1XBqBEoFw4uN+TQhCKBYAmWDUZ6+Dg4OAjyNCyyfAqSzVBopoiFvmuPPhcP0lUgj/OsSZI/AKbSxQyfivqCPzobIraJd0gJV0CNVtEKh3CIRpMkIrYCHB+S4oC1gSZwz1DssXv75vIHOGUqMmD80Xpp21KVBvVlZHHZUJp73VMJK5sg26k2KRJk4z9zfcnfqmeUaA2r9s4JoEKyoXnC9SoBXt2yxNfvKz+fXSb7oVVGk9dfI/0aNlJ/vT+UzJl6Sz5YcVPMmHFLLnzjGukdYtWkk2s27hethzYKeNH/iibdmyRyYt+kJnL5qnjBRcfe7o8cNZNUrmCv7GyjcSgjcfEOsh6aCuJWjkAa2FKu/7jjjsu80dSwqDL4WyTUZcIlAtP6HvyUvdDJUhzJKqDg4MB6AytV7bWJIlqolxQq1n8bE4BYQthx+f6ueHLzc1V15fSer/JPgLKiRMnKrIy1f1LpgjUbBCpEMSoePwuu9NNOtq3by8lIcDj+5r4XOYmrq2NJKpToiYPzpetJCpjzbbu1zaqPjlXJiorEiFRlyxZktG/+e2PE9TzGT1O8iRQQYVyOaqTPX6io+ZMKvx5x0Zt1POefXtlyqIfFMF6Rb9zZNgPY2TR2mXy+cKx8t3T38slx5wut5x6hVStWDmj8/a6bRtlxtK58tn3X0vZKhXkp7VLZN6qxep4AN6n955xg3Rr5v9aZjIpGDQSlfmJuUl3sreJ3N2xY0cg1kJnyGlYiVqmlD2La4lBHE9UJruLL75YvX7rrbcOnvgKtv/qh2qZt4mDg0PJgCbsvDYaBOwlqemRic+FjNHBsp8kKp+rVTJ+k6h8HnYCK1euVJ21TROomSRSIWPWrVsnnTp1ythxJfPZEEF+d6g2SWYCv4NdHWD7TZInqkQNQuBoE2wmUfU499PaJogKWdZOEgi2NbmpW7euzJw5M2MK8e278hTZCPoe3tOTQNVoUquB/LR6sTz7zVuFP+vevIPyH6Xj/bqtG9XPKpQrL6cecYIsWPOzjJk3Rbbt2iHPjnpX/j32QxnQ6Rj57TGnSr/2R6VE6O/eu0d+2bxOFq9bLovXLJflG1bJvJWLVYOsTbtCja9Ax8Zt5E+nX68+x9R1ZGzTPM02FaPfiXab18J40PYsQVgLfSNRJ0+eLEcddZRfH2c99u0PLfhlyzge2zYSlZv3ww8/jG5dQTk/KBf+Gw4ODg4+g8wxmx8Cj1hEFCpBE4GlKaVLSSJvAeWYKBf9Bhvuli1byuLFi5UqNZkNeLYI1EwRqaiO6tevr5S+foNrSSBtouERajm/SVTuGeYxv7+vKUVQokpU2wLtoDRZtI1E1f7gjkSND+Y95iDbSnjZy9SrV09VJxx++OFp/72l60NNn2pXqSHrV66JS6CCTk3ayA/L5smPYY/Ra7qeIYvWLJMRcydI/u4CpVTt3/4oqVWlhiqpX7Z+tXRv1l6mLp6lfEo379wmX84YpR6VcnKlXYMWioRFJdqqXlOpWaW6EnPpLiD5u/NlR8FOySvYpf7e6s3rZfHaZYqsRYH68/qVsmH7r9YLWBIO7tpPLu93lmp0ZZqQI7HMGLJNXck8ULt2bbEJNqpjARVWwKa5IBZ8Y/DOOeccWb58uV8fZz326XJ+54nqP8pHlPPjb5rMpK99VDUR6+Dg4GAAbLz1ZiMaCODIyPsNNmVex5XNzzWhvIW4i9fkKxtAibpw4UIxgUaNGsm8efNk7dq1inS0gUBNl0hl7Oig1gR0kw6/wdhlrvDT07ekNZUCzMXxAnvmzSCob2xbByFRTax1QS2d37gxpF60iXDmOmoCzCaQKPzhhx+kXbt2aROEqEdBlfKVEiJQQbM6jVSJ/q49BVKzUjVZsX2dfDb9W3XODqteR049ckBhuX69arXl8IatlKL3/KOHyLINq+SrqSPly+9Hycod6ySvYKd8v/RH9dCAhK1WsbKUK1NWibrgJCjL37U7X5G0EKra41SDRlctazSU03sNlN/2PU3qV68jtoBkpIl1NB6cxUByexL2I7adr2jI6K7p3HPPjfpzbuhNmzZl8qOKTzm/RV45JQZaRco12LdbpGwSN6pWrzolqoODg+FSM0gs20hFk4pQE80p2LBv2LDB98+lrB7SBf8ov1UXqAfpXj9r1iypVatW3M/3i0BNh0idPXu21KlTx1hXX4gNPzoqxyJv/VYQmeoQbmsTLUhA4iSUbw6Jg3sWFSM2HLbBRtWnjccEmIMgwEjQ2bbP0g0H0127tGhqV8GuhAhUQMm89kPt0/ZI2b+tQP0dmknhPRqtmpW5vGblauqB4vR3/c6TEWNGSV7uPpm3YanM+HmuLN+4Wnbk71R+qzy8kFu+gnRo1FraN2otPVt2lmYV68mubXnSp08fsQ2sZ+xJbIONhKWpNdgLVBToddC0qtl3EnXEiBHKQ7JoJgkSdcyYMZn8qGLTWAopvIPPiGwItTsvORJVK1HL2VOe4+DgUPLAhh5yykYy02RjKRNl9YsWLfL9cyk5Z68FedCwYUPfP79Zs2ayevVqmTt3rnTp0sUaAjUVIpXvwXk8/vjjxQS4X0gAHHnkkUaCThOduk2SmSbKq/m+XipTEmKMT03aOCR+n0NGcf5s89S0kbC0UR0LmINWrVoltgHFJ/Y1rPHprl+7t4REOBt3bZWcivHJK0rqr33lfinYu1sGdDxG7jvjBvlk6Ody1Ym/lYoVKiaVaBjQt7+yVRzY7+LCZN3Wndvl5/WrZNWmNZK/p0Dy9+yWgj0FUrF8BUXA1qhUTepWrSWNax1W6KUKdzF8+HDp3Lmz2AjWM66XTcAikGS3bYSlrT6tW7Zs8XWvaA2J2q9fP7VJ6Nu37yH/Z+sNZ16J6khU31GmXOixb09IWZqbhPLEeaI6ODgEgEQlWELd5Hd3YB04+h3QmvQm5XNNKA0opUchY4JE5dp27dpVRo0apcZiNPLHFIGaDJEKqYailmZSpoIcCCCIIBPkHuqvRC0Ziks5v9/N2PTnennica9wD/ltq1AcwNxCEsI2ZZWphGK85BtjEWLHbz/ieErUOXPmWEeEAxoozp8/XynkUq1UoIlU/qYdipjcnLdVxvw0VU7sdEzM90NqXvb8HbLgl6WKyHz60nulWoXK0qRa/ZR6qUCk0pcGIhVApFbLrSJdmrZTj0RBQ0nGjYk1Ix70PsxEUtALNL5jD25beXq8NcnUMW3bti0wJGpGI6uPPvooKoEKyFw4/AoWMOBIVEMop31RozeXiu+J6pSoDg4OdpOowG9iUX+u38EjBBTfVVd5+AVK2cnmkz33GwQyEHB+f+dIkrJDhw6qgzFKC5sI1KJEKsfz448/qiC9aBk/pJrJMtJkvGUzvQ/Ff8yEhxyBpSlFqI1erIzPoASOtoHzRjLANoWljapP7jmIehO+5V5AgMV8RHMp28AaT+UFPuBF149ECVQ8UFmHzu19svrZk1/8Wwr2RPfxXbNlvZz/z1tl7E/TVDOo1659XDWjSheaSMXjlWZZqZRaL1iwQFq3bm0d0Q2YA1jvbWsqxd6QJKlt58xGi4H8kkyiekFnPxxC2HcgRKKWtSgTWKKgG0NRzp8MnBLVwcHBAjRo0ECVIceCznz7HcShUmAT6/fnsnnmO5tq8sQG3m9A/vGdTXrOE1xy7lFz6gDTFgI1HpFKs1PK+LEjMBXgQByYIlEZs9yrfpOZnH9TDUBM2QjEC1iZy5nTHZIH543A2zbC0sZyfuY57jsTSb94+wZUnuvXrxcb0aZNG0XwQoamQqBqD9RrT7hANYL6Ydk8ue6V+w7qdL8jP09eHPEfOf7hi2XSwhmq6dNbNzwpR7TomLHvkQ6RConM3EmzLRvB2LHRD9XmZle2kagFBQXqfAVlLfStbuScc85RG1aHEPYWKlFdYymzJOrOqOUudPvUrw/CnvCGyHmiOjg4WKxENd1cyu/PJTikjMuExyOfZ6LjMd8ZA37GgamyLI6he/fuMm7cOEVQEsRMnz7dGgI1Vmk/5wvit2fPnkYDCcYNRKaJEkR9r/hNIBO8MT8k0lglk0CxjcWJ39cbBRcPp0TNDjhvy5Yts6503kYSFXDPm0j6JWpP07x5c7ENzNHdunVTgjBsN1hPkiVQwWE16spLVz8iF/3rdvlq5mgZ8eMEad+wtRTsLZCFv/xcaPXXsXEbefGqh6VlvcwTltFK+xNZp7jHsG20TVGpE3OMHSpjbAPrrImmkemuSSaQn5+vrFmCshZmlEQ999xzYw5uk0oJG7HPeaJaUs5/qBKVBSLmAlmoRHUkqoODg/0kqqnmUiY+Vyts8DDz+3MXL14sJoAfKqQlwYOf3reRQMlIoDh69GhZunSpapBk4yZYE6k0OuU4IXpNN/JBXMA1NBGYmlLIcI9Svuu3/6cm2fxWovK5XN/y5cvHfI8jUVMH5w1lnW2EpU4m2ubzyT2/cOFCsZFERe0IuWOjNzDkI2QY9jWsd17XNBqBqtGv/VHyyR9ekD+9/5RSpM5cNrfw/1rVayrXnXihnH3UYMkpVz6r3yVRIpXrMWPGDDn88MOta0SkQQXSrl271PeyCbrqAs91m5DImmQC+fn5irAPylqY0VlqxIgR8tZbbx1ykzGI2LQ6/Ip9YQ+zso5EtU6JmpAnqiNRHRwcDIJNBpl3r8ZRJklUNrQmFDaQYyY+l/PMd/a7NJqggVJIxoLJEijKaSlNJ/glac74tIk40CCg0UE6x8k5M3WcBDKQZ6h7TADFR7t2iTcVySSJaoK85f6EQPU72aAtBLzGGeMApZtD8mCu4V62kUQl/rWt4RX3np6vbWouBXdA9R8WK7aW87Zv3141U2Sf0aJFi6QJVI0jW3SSYXe/JovXLlcKVOak9o1aScMa9XxbjxIlUnUZf6zvawOwxOH72Ea+U9XKHp2koU1IZE0ydVzr168vmSQqG0EGSrTmUp07d87kRwUeTolqrycqG55rrrlGvX7xxRcPVi04JaqDg4MFYJNBM58NGzbEVNMRkJhoIME+AILGlDepF7GcrVI//NzYyOMR6ifYBKO8JWgzFXhqD1QUqASNEyZMUOso+z5bmjxAZhD4zp07t/A4dWl/x44djQQTeNLha2siwMLfjwDPhHKHe9TE5zIXmjrX8cp/8UQNSuBoG5j3IN5sI1EhKPUabBOJyjFBNplqKpdISb+tJGpkWT9WOkXv60QI1EhQrp+Nkv1MEansL20u49dgzNhWMq/XOsaBqSohr+OyjdgFzEmMuaCshRm9qh999FFUAhUMHz48kx9VbJSoNmUBS2Y5/6FKVFQqb7zxhnrw+iDs1kpU11jKwcHBHNi8s4lfsmSJp7JD+zuXhEZLfF82+iaaS+ngzwRo9EAJlInvXbSJFOOyT58+itBAsQO5YRqQWBC7ixYtkt69exceZ7RmU36Tuqb8/xir+NeaILlNKVFNfS5zsFcZLGMBO5CWLVv6elzFBSjkIKFta5YEtE+3TYj0D7cNrKMkI/2ej1Mp6586dapKZKdKoNqCWM2mUO5jFWRzGT8gYUvS3kRzRlvXnCA2uzoQ3hORcCr2JOqcOXPUhtQhNWjz6DKl7MpOlBikXM7vlKgODg72dIxdsGBBzP9n4wuB5HdAQoC2c+dO1cSlpHQeZgNPGdIhiTcfwKYTX00vQt0PArWoR2rr1q1lypQpykMuMtj0e1MOmcu90L9//4O695okUrUVh6lgAaLCRNBJYE7Qa6KRlqnAkTnYi4Qg0YBasVWrVr4eV3FBo0aNlLcf859t5JuphGI8mFon4wFlfhD6qFC9wJhDwYktQlAJ1FhEKnM0iUcS9TaX8eu1lPXEJrW3zWSlreTurl27ZNWqVWodtE25GwspH+Xtt98uzz333EE/+/LLL+W3v/2t3HbbbWoycYhfzl/WKVHNoHylmOX8iXmiOiWqg4OD3SQqJBGknt9diwkuKBk0EaSZ6jwMSQJ5CJFqAqjYCH788qKNRaBGEtqoLI8//nhFIkFk8jt+kRyQUgSBNFDp2bOndOnSJarq0gSRymdw3xKcmggWtA2ICRKVe5N7xW/vOghrxoQJ8hYlqlc5P2MBIpA50yF5cA+RsFm5cqVK3tkEW8lKW4+La0kpf6Qi0kZQRcq6wlyuPVKDSqAWJVJJetIkkrkSSx6by/gB9z1JZNvA2OAeM7HmeAHS30Yrjx07dqj9M3FNUJDy7o1sxVlnnXWQ8fAZZ5yhbry3335bTS6UVzjE80S1ywS5xECToFHK+T3hGks5ODgEhERlow+xZ6qk30SQZupzCTRMlvSzUUc1Mn/+fOMEaiQghrQqlX0jAScea2zksxG0sAmfOHGi2ovi+YX6NJZnsCkilc+B7DZVyo/yESIznk9ncVLAQKBC0Pj9nRlL8ZSozOFBChxtBOePxADn2iYw1k1UZSSyXkCkZGMeThd4fEOMmajqSAYkgvBC5/rqplhBByQwe0bWJ9ZN2wlU9raolm30Q2UuInlnG7FOIpOx63cT1ESuJXuTEkGichEiB+2bb76psupsjpn8yPo/9thjmTrOYkyiBkOyXJIaS3lCk6769x0cHBwsJVEBpIGJwNKUIlR3HmbzWtL83PAuQ8GTTW/UZAjUoqrUE088USlm8X/8+uuvFamKl2s614pzzeYb8njEiBEybdo0NQb4rGQaW/lFpPJdER20bdvWWCdhiH5T/nGmSFRdVuk3KYA3MERVPCVqkAJHG8H5Y+41kTCMV5UBWWGb6pPxyNxoY9k89ymkJKW9NoMSftZbPMCZVyZNmmTEtiZTgAweO3asOv+9evWSWbNmWa8IhnNiLTuoAbQlIKGLPYVtpemm1sJ4YO5m/xWktTDlHRylJ3xZGhqAb7/9Vs455xylfOFx9913y/XXX5/JYy1W2BvO/pUp7cr5zZbzOyWqg4NDMMFmg3JlCJ9YGyKTzaXY4PoNrfiCSPS7jApVCiQZTQ54beK7sycjuOvRo4cVBGok2BuiMuIYOUcEaNpTDrUGY4ZrpoPoyMabjHHOLYEeQQCkBA9eo1hCNdOhQwelxk21YacmUsePH1/oe5fpQIPvzHfhPJgA5xCyiSDZVHkjqmS/YaqsUpfyewXSkKixmvI6JL4Wjhw50joSNdIXNZ4i3lTlBGXcNoFjY36kRJ61wjayBxT1QGU+pdHUuHHjpHv37taVcCdC+NFEijGhS/gp7Wd9BjYqPdk3LF++XI488kixESaTlUHzQwWIPYgZSgSJOmDAAHnqqafk/fffV1+am+/vf//7If5cDtGx/0BIeeE8UYNWzq8bSzklqoODg1mwzlJ2hXVOLE8oyCjKHE2WMaLG8Qts/mvXrq3KgvwOZCBKIPHYPJsgUQEbUJLakJSoIGwhUIteI84PDwI2Ns+aEEV9RONSXcqpyaehQ4cW/lsTrox5iFPK9lMlTv0kUnUDEv6mKXUKyl8+O5NjI1GgEOe6mgjgGF/Ml7b5oWoS9aqrrvLtmIojmPeIRW0lUW1TogIIntmzZ2clWZQuIO3mzp2rlLKRzQBtQLQmUlQVQDpSEYGak0QRD9tUiEWBcpbzDF/Tvn17VTGix4L2SLWVSKXqGQUq+z3bwDrHvrtTp05iG9hn2UhUrl+/Xu2dbTy2jJOo9957r3Tr1k2V8FOuws2FpF2DTLeXB1BJR6EStZTdE2xJbCyFrw0BuH59EHY7JaqDg4MdYAPZrFkzFYR7kagoOvxGZHMpvxU4BIcEBSYUb1wHyuAorTcRmFI6yr6M4PjYY4/NyDFkkkAtCo6PMcqDCietWIR8RzVJUzT8TfE2ZUzxyHZgmi0iFdU4HYRpnGIK3Bd8vomxSYDEXJApwjvZplImyFsU8V6xEMT6okWLAhU42gjOH+PLRMIwHhh3KOZsAyQZ8ytj1DbfRkhJ1KhLliyxikSNRqBqsC6x7rP/mDFjhlo3UaXadm4jSSuaSLFPY32NluyxlUhlj8DYYK9jWwIAwCFwXm3jwVhvTDVYjHdc2DwxV9pIisdC6XQCBaTrNJMaPHiwfPTRRwcNZMoq3KYgNvaFPcDKlHGNpcx6oh6qRGUcs3DwOGRydkpUBwcHi8A669VMiM0SSj8TXl2mfFEJYlBiEiD6DUgiNvg6EWdqTEBCsim1mUCNBdZdEgQQwjqw4zUEpF/Knkx7pJJMgCzr2rWrsaCPOQDVuikrAVPljZBEJppKJVI6iXoSkpdkmEPqgGhDXc09ZluzJJNrsBdIZhDnmGqGGA+oIjk2W5qFeRGokWAcHnfccWovMGbMGLU/M+HR7qWSxI8cYhR1Pt/Ha27URCq/Y0uFMckSqrB04tU22FrKD4FKgsK2Jmh5eXlqr4XwwUZSPBbS2o2yEaOE/5VXXlGq1EggDz/rrLPSPb5iC9dYKqjl/E6J6uDgYA8oF0JNEAsQTzxMNXkyUcbI9yVwpSLGb0DW4ONGsGUKbJLZkxH0pdNkygSBahMyRaQSQKNMatWqlVEFCOWPWB+YOAYCXuYg7C5M+aH6HZxpBazX+WbuRr2WaAM0h+jg2rIWovjknNsEnRCytaTfVhKV+RfBFutYUAjUSIKa8njWDyxqqKbg2SSZSnKBqiREbuwLUJ8mquS0iUhlHYZjggA21Zwx3vGx97SRRNVJPduIyq1hKyfsnYKErDF4b775ptx6663Z+vOBx979Ib+vsq6xlHXl/KiXbrjhBvU4SMnE4rc3P/z7dmVxHBwcSiYguCC6bCQzdUONkhYckmBmEw1xZFKZhboN8i4V8q+kE6iZJFK1UtxkdRbHjerRlOKR+wGFlokuyqYaaWh/TojrWKCfBPeYQ/rgPJIosJGstNUXlaQGx4Utn41o166dUs+b2kekQqBGU6WSWIX4GzFihKoQ8VOVzLXlO3zzzTfqe5C0YU1LVplvC5HKWszeyoTHdSKgCgqY8B2PB+4j20r5AXMQYzNoa2FKFH6k8XAygFS9+eabU/nIYgedjSrjSFQz0CSoVpYWKXV47rnn1Osnnnji102/JlCBU6I6ODhYADYdeHB6NXAyRWbyubqM0W+lFSQqHpSoL/z2YKRUilI+SCuCQFPgs7/77jsVtKGCTBSOQM2cRyrBAecff1qTTUZo0MK9GMs7uTiXN5pqKpWIApb77JRTTvH1uIormK+Y72wkK01Z2yRStcE6TZLDlM1HvLWUxM+8efOkV69egSJQNdh/MP/AnbC2sh5AqLK2Qq5GtY5LE+x7uKYos7EW4jO4P9L9LNMeqXAnjIW2bdtaqUIFXGP2fzY2FWNuNNErIJHj4rqWCBL19ddfT+nDnOfPr9hbWM7vSFQjKBdbiRoTkYRrWUeiOjg4mAebcwIhOpoXtdWJDOBQ6PgNSF1dxsjm208Q8PD5eGeZKCGmTA6VGRtWv0lcDYIMGltMmDBBqSISadDhCNTMEakkNqZNm6bGgGn1B004IElMBJ4kpmli0qFDB98/O5GSelOqH9TB3Gv333+/r8dVXMGcBelFwsA2QFSaLoOOV7VhI4mqFfwoODdu3Ohrk6lMEKiRgFQjicWDOYnxwB4BwpPxwYP5gmfWm0TJTuY4VO/ss3gw7/BgXwjJSYl0Jj0wTRKpnDPmTVvHKoC8Npk8j9dUykRVhhe4njTHxWIiaOX8Ke2mkKY7ZIZELWsouCrxKJ+CJ6p+b9kcVsPsHJeDg4NDkhtziDKC8VgkKpsmNtkmFKEEPRAofpOoBCA6ODRBovJ9Odf4PKE2MYWaNWsqbzYagfbt29czmHIEauaIVAJbCFRKuU03WaX0kfvg+OOPN/L53P8kU0x0KoZQ4z408dkQGl7BPoktiKEuXbr4elzFFdxnJKxIKPbr189Y8ioaSGLt3LlTPWxr6sI6CYlhomojEVANSCUF1xVFvx9+jpkmUIuCv0lSidJ6iC1IT121wL/Z17FvY94i8RWpatT2MCSneK/2ANYELII1XrP2ZOtcmSBSGZ9cF86bjSpPQLUHD7/3u4muhQgLbJt/duzYoRoCcl0h/oMEO0dhMQesuyvnt4RE3VsgEia048I1lXJwcLAQmkS1sbmUSW9S/dnpdlZPBQQvqFFRAJr4/EhQRsi5mDJligq8osERqJn1SCXgx4uOe9N0EwfGIOWFJrrTR5bymzgPOoni92czLphvvVQ/3G+QKLYFtUEFxErXrl1V8xzbmktBXpBQtLGJE2QbRKWJRozJVNxAQPtx/rJNoEZCk6UkW0imIFLD3qNPnz6q8zwEKuQh/Tm0xzIVDswvjCnWdv07EMw0V4PQ5LizPef57ZHKOsY4NWVJkwjw761du7aVjQJNrsNeIHnA+GGvFDQ4EtUA9kdsustYmk0p9igXsWlNtKRfK1Ejf9fBwcEhIM2lTJCokDds/snO+w2CVtS3przoCGYg0kwHzmyaKZMiIIvWaMoRqJklUvHCRWVIgGk6mCL4hlQy5YNmslMxn23Ki5XSROClgNX3nEPJaC7FOLSRqGR9oFoC/0xbwdpFifTs2bOz2pTJTwLVi1hFSQqxijqPtZvkAA8AUcqDChP2GNlUnNpCpEKgo5bmfNhGAhZt3ui3T6zta2E8sD8PYlMp4Bg8A9h/IKRCBWWdEtUMylZg55BcSf9up0R1cHCwt7mUV3BBOSGlo34DEonMvAkikdJEVGimSEwCP0pMMcw3rUYlMOvRo4fqHEugqOEI1MwSqZSuE+hzrk0pPyNB4Emgi62DCTDeqLwy8fkkb7AyMFFaSekkiSuvslNHomYenE9Kom1s4sRahEe3n53ZEwUkKg2IuF9sBaQicypNmYorgRpEZJtIZW0l+YsC1cYyeQ3219zbNu6jSOqRULXx/G3evDmQTaWAI1ENk6iunN8QIFCTbS7llKgODg4WApUZpV2QObEAkckmzwSZZ7Kkv0GDBoXNCEwAfzLK8WxQ+VAKR4djAsWFCxc6AjXDRCoECZYJKIe430wD9TfXmpJxU+DeY2yZ8LBjziFoNNFMi7HgNQZ0U6kgBo5BaC5lImEYD6iSsW4g0WIb8CymagQlna1AgYgakzkFwjeTcASqvUQq14W1zERjwmSgVag2+grrtdC2Yztw4IDyQyXpFURvcEeiGiRRIVBtlaWXKF/U3TsP2UxQ/saD14VwnqgODg4WAoKid+/eMm7cuJjvQRUFmafLTP0mUXWW3m9A4OADCqlh6tpAYtEMgvNvGgSIjBWOh2ZTjkDNDJFKA7EJEyaoEkuTjcSKEgOod0yRAtx3lFab6qRsqnyRwDAeiUoSg8DRkaiZBSXf+H/T9dxGxafJhGI8cJ+S7DNdNRFvvoVMmzlzZsauryNQ7SVSIU/xF4c8N22N4wV8avFDNbXWxYPNpfxz5sxRfqgH8S0BgSNRDXqilrUsI1DioBWlRcr5CXpRD/E4SD3hlKgODg6Wgm7E3333Xcz/Zy6jpNYEmYj6Bt+uTKtHEgHfG1LLpMIGIgulMIk5G0DJJoEy50Y3q3BIHfjeQhiieOR82kBCEJwQ1EEqmQLEMvc+ViJ+g9JFygQpofYbBP4QPF7fm7kaVXjQuhHbDuY0Gu1gY2GjGlX7otowRxQF94r2MLYZxGaQqZAv6cIRqPYSqYxFyHLUnaikbQbfFaEC+1wb9yd4RJtYC+OBeISEIvFLEOFIVAPYF1aili7lTr9RlNfl/Al6omolavngZUscHByKN9iEjB49WvkPxgLKKFOKTJPepJColFxDrJgAFSeoUQnsTaujdAn/kUceqToAU0pFIGljUB8EkBiYOHGidOzYUZE3sZpN+Q08xiAbTHZ+J3GBMsdExRVEEM1ZTKhbmGMhUL1KJyFRgxo42g7OK0p7U2udF7Q3MJ65tkELSOiCbjOYT7p166aSNOkkZh2BajeRqsv4qe6wGaz13DPNmzcXG8FaCMFrY8Juw4YNqp9DUNdCx+IZLOd3SlTDKJsTet6bf4gs/4477lAPXh+qRHUkqoODg12AFENh6KXOMO2LymbOi+TNFlAHQGpks3tsPKCkgNQh624KRT1Q2VhTik4JJz9HTemQGLiHaGCDByqlhlodFa3ZlInAhPucpmamsG3bNqWGbdSoUYkrX0zED9WRqNkD55VGNDYqKiEATSYU44F5jLnDhO1PMiA5ROIK2wY6tycLR6DaTaRSRcBeFrLc5jJ+wL3Mvhb/fRthayn/gQMH1H3I/pOEfhDhSFQD0BvrMqUciWoUZcNZmb0Hq5NQCj355JPqcZBqaLf2RHXl/A4ODnaBjSYbEa+SfpO+qJCYKF1MKXBQxBE0mSK2tBoVxUIqQV+6iNVEigASBSUlX3jq2tyd2RZwD1FmCCFOEB5JFJomUvk8gs9WrVqpRmKmwL1GUImNhYnrg0LNZj9U5kHK+R0yj06dOqn1EILtICGEJbDZF5U5A/sZ29WousKEtYxEVjIJQEeg2k2ksgfhmmJFY2M3+aLQKlQTzRMTWQtpZGcjibplyxa1R2JPGtT70L4rXgJwQEKb6lKlXVMpG5WoMeGUqA4ODgH3Ra1Vq5aRMkfTChwIHQItE76skaWcBKgEFX6Sa7EI1MjAmYASkh1LCBtLTW0BZDMNpFBaQj7r8txImCRSUceS/G3ZsqWYAp+PuqRFixZGPh8lHeSticDM+aGah+2+qFQlkEiz1Y+auQPSy0YCuuieAsIcL2qUx4nMs45AtZtIhfSDQOX3TK5hiYJ9AKpZFNw2AgKV/Z2NXq0bN24MtB8qcCSqwcZSzhPVMMpFV6LG9UR1SlQHBwcL0b9//4R8UdlYmVTgmFCD4k/IRheSySQoQWTjDclkA4EaSTx06dJF2rZtq0hCNremfT1tAwQ89xelpKi+vfw2TRCpKMwhCSiBhFgw6YWKdYWJhlKAc85cY8KLlbkVYj2eHypztUP2QGDOvWAjicq9yTpsqxqVe5eEGmSj7WDd6tGjhyKyIM294AhUu4lU3UiKeZu9iIn5O1ngKU8liomKi2RK+W08lxvCfqhBXgsdi2eynN9C6XfJLOd3SlQHB4fgA6IMpZyXLypqUAJ9Mv4mNtOUaplS4Njg90aZKR6aEGvZLutPlEDVYKNNWRpBJkTY2LFjrffG8wMoCwnupk6dqkjm7t27e5JkJohU/jZqLMY4anNT4DiWLl1qTIWqu4ubKl8kaPXqguz8UP0B55d71lai0uaSfsA8B0FkuxoVoLSDpCPxt3r16qjvcQSq/UQqCW6ItZ49eya0vpoGyXCam7Vu3VpshOm10AsIPbgnGQvskYIKx+IZwP5wOb9TotpSzp+oEjVMtpZ3SlQHBwd7fVFHjhwZ8z2U9RB0mFCjosBhMw2pZAKUz9rg9wbJgr0AQX62iLVkCdRIoKSDhOAZ5SXBdElVpaI+HTVqlCrTRjEBSZmMqsMvIpUAFMIDHzkbmmwkO+YyGdhyHkwQydiFQAJ4Ba10jccuA0LBIXugzBt1GHNgQUGCe3wfwRhhHNhKUrJOo0Y12QgxWfUsyS0SSXgtRsIRqPYTqawbXCcI1KDYnMybN0957bPG2wjuA9Ykk0lVr2ObPXu2umeDfE86Fs8A9Ca6tIXy6hKFshUPJkcTLud3SlQHBwc7MWjQIPnyyy9j/j8EEAGcqc7FkJgrV640RsqhkGMDbzqwpqwflSeKT5sI1EjCm2Ps3bu3CkBRpVIyWVKAYpqAHPUpShMCcMr4U0G2iVRbyvj5XpC5JptscG8z5k0omSDcGSOVK1eO+R7m5uOPPz4wREFQwfgbOHCgut9MrXVewAoEkpK10Fa0b99eqcqD0myQxCQK2okTJ6pkCnAEqv1EKvPmtGnTFKFmygImWZAAQYjQpk0bsRXMLez1bWx4tXbtWjU3n3zyyRJk2HdmS1JjKadENYtyqTaWckpUBwcHOzFkyBBVLqqDiGjQDZ5MEJkEOlgOmGpeROBKZt60wkaX9WO9kMmy/kwQqJHgXKFKxcNv/PjxqulDcS7xp3R/7ty58u2336rXqE8hBdP1FMsWkWpLGT8gqGTe4XyZABYleA2jDjLpP+eFzz77TM3RDtkH55m50EYSFTBOSaLZqvJnrWQ8o54OClq1aqUSpfh6Q9Q5AtVuIpW1lj0FeyH2hkEA9yvHTeMrW5NhrIWQ1LY2vFqxYoW6R4O+FjoWz2hjKadEtcMTteCQDDFBDo+DGkc4JaqDg4PlYGNHdnzYsGEx3wMhRplP0bI3P4BCDCP+bCgwk1HYEFxl25PU77L+TBOoGqgbOWcnnHCCsoKApOeYg6JQSjTowLZg+PDhSnEL4UlpYarqU7+IVO1baLqMXweWzD0kCEyA80oJtwkyORH/OfyYSUQEPXAMUlUGyTKal5jwAE+kKoM1yMQ6nCiYVyA8gpQ4Yw5irmWNp0GRI1DtJFIZW9yf7Ad5BAUoZ7kfIOxtBd7A7NWwZLINO3fulEmTJqn7EvVxkOFIVJPl/BZKrEumJ+rBgSDXpUOHDupx0DVyjaUcHBwCAIJ0FE+xwLwGgWdKoYMCh00eSj9T/mmQjJT6mQYl82wq0z2WbBGokSCpSFCKOpNrh1oTNUmQAuyigICkq/OIESNU+duRRx6plEvZKivMJJGK8hOVGIGIyTJ+QIMNLDJMqVABiZlkPWszBa2s9xo3Q4cOVfdPkAiDIINr0bdvXzUvQmDbBu5Z0wnFeMCaokmTJsr/MShgTqR5JfsM1ievqhwHc0Qkex6S/qy7sZpN2QYbkoWJgDmF8W9iLUykYgM/1FNPPdXK40sGjsUzWM5fxpXz26FE3ZNoYymnRHVwcLAfbE6++uorpTaNV9JvisSkwZVJPzhUEBA/pgMsNuKUttHsiuOxlUAtGlj36NFDjj32WKXwQplKaRbEOE2FghAIQXpRBv/NN98oMrJz585y3HHHSd26dbO+sc8EkUqjK/xaaaBjWm2iO+1yT5nqqgxpwjVt3Lixkc9nLmXseIkjXCm//+B8Q6SZWuviAaKDddBUQjER4DMK6RUET2ztgcr8Sok4SZ1x48YF4thLClj3dAk/SeRYzaZshL5XbS2T12sh493UWpjI9UeJWhzWQsfiGYBTotqmRM0/RJny4IMPqsdBnTOdJ6qDg0MAQBkyZAbElheJCoFoqqSdTSjBjik/OIgsAlgbFDYQyiggo3UWto1AjdYR+cQTT1QWEfi7QkqiMoCYtIlQZZwx3lGdQvrSfIQ9GEQwATfnzk9VRDpEKkHc5MmTlULMlP9nUdUL585k0MYxUEpPCaPf4NpB0nndf+wlv/76a5XgcvAPBOokG2h4ZqP3KL6jJKVSTaD5AXwfUQyiwLPxHGpEayIFAcwDGw2bm3iVBDB2KN9nv8K+QSvyozWbshE2JAttXwsT2btw/Ul40mAx6HAsngHsL2wsFWwZc+ARwxOVm/zPf/6zehyUHd6TfzD56uDg4GAh2OD95je/kc8//zzme/AOhPgyFbzZ4AdHSRZknw2lnpDaBHuQYzTesp1ALRpkcy4HDBiggiPUqRwXpBHPppRWBD1cX0hdyvXHjBmjFBoQAnTuprQaItgUUiFSec/06dPVOcen1jRQu1M+y7GYEgZwnQm+TRHKkPP4A6NEjYXRo0crYqdbt26+HltJh/YIZ141XXUQr8GUzcD/cevWrWo+DQqBGjkGqJzQjYxsJoKLK9gTsG4tXbpU+vTpc0gTqSAQqYwv9ta2KjxtaK4YDyjaucbsv2xtypUMHIlqUonqyvktIVETC1gLyVb9ew4ODg4B9UUFbAZNqTPwg+PzKWM3BTZxBIe2BFYcC8Q2pW7xGqHYQqBGgsQwRBJlemySe/XqpXxUUZ/gB4kCFLUtgRRkZiabvXD98GYlAIOQpIQTSwvOEZ9D2TuNZgjUUHCa9hBNlUhFOc33RLlsQzUTCj+ab8XrSp9NkAjiehKImwBzKPeg15jSpfxOPOE/OO8kUmwt6UeRp+0obAW2MyT5OI+2NenyIlAjk5T442I5w/pqs31CcQMJJtZjkuZcA9TX0WAzkUpim3FGrxSb53DGN/eqqbUwHpiD2ZMVh1J+YMcusoRh/wFK3EpLaYtvxJJVzp+gJ+q+cGl/2fLZOyYHBweHDIAS6wsvvFARhLEUaxAfuvGCiQ62+JVBrLExNZWVRqUCqRevs7YfYHMOAUnAwXVBtRZtw24jgVoUHDdenTwYf1p1zIPjhwxExUgpK0Qr15/yM555oJSGJNQBO6QrKhCCXwIamhjxrB8QixCQKEt5QNBDnDKubQ56IolUSk4BPnHRjhmyjrFKIMr5MQ2uwaJFi1Tga+occ81JxLRo0cLIMfD5XBfuWy+l7Keffiovvviir8fmEMJpp50mL7zwglJ7QgTaBkgPEjuMY9P+xl7gHiNhocmkoBCokbY5zJ3Tpk2TsWPHqnmLudcheyAxAGkNiY3veLwyeE2kohwHNqg+mePZj/EdeNgKjpOkpqm1MB7Yy2H5xOOUU06R4gBHohqA1hk4JaphlEtWiRp+XxlXzu/g4GA3IKfI9r777rvy8MMPxwzeIA7J+psIighqUF4SBOEzZQKcA8o9IfXYIJvefBJk4GlL+S8KTo4taARqNKBW5KHL+Njwo1CBwI8kQ/W/IUshn7QyEwUr1wa1nyZaIV0ZP7xmvDOebFBnZoNIJRidOXOmKkvle9oAxiekD9fAFCDXUfGZCrY3bNigxqmX8oekCGMduwsH/wEpg/oN4gx1vImEYTxAfIwcOVKNE5JKNoL5iMQeaxNrj2nCNxkCVYPkE2OA5DLfA0sXrIUcspPcYl91+OGHJ0Xs2UakkiRjnbHdw5M9Ag0nScjYiLVr16r9Tf/+/T2tb4IER6IagA4KygR0s1/cPVGjggYZ+8LlH84T1cHBIQC46KKL5JZbbpGHHnoo5gaWDSpZdtSCJghElKB4ZbVu3dqYWT9NrtjwQybbsAEliCbQozEYpCEBSJAJ1GhgrGli1QuQqZTlE8BAeBdnxCJSCeBohEWiwxYlDMpirYo1CZQ3+L+ZGhsE2JRje5H3b7/9tpx33nnFfvzaCu6h3/72t4qU4XrZ4CUc7d6HWOCesvH4NEjgoOZlzYYMMbVmp0KganCvMrfWqFFDZs2apUqgUUna2IgniCCpRdKTZCj7mFSSbLYQqSQ1sLAgeWBD9YcX2MOyFtpiVVQUzL0ksu666y4pLnAsnkEStZRTogbHE1WX8qvfcwutg4OD/cADEmUfZJzXZpUyG1PNlfh8yAWT3YkJBAlcKTOiRNkGoJwiAEHJQbBYnAhUh8Q9UrE/gEBFqY39hQ3Q5Y2QhyYbcxHg4rFm6rwwb0LA6C7T0cB88sEHHygSz8EcOP8E8DRBs8H/OhpIlmE5YJvnaDTvbggl1qagEaiRQIFKco7xgArY5B6kOECXk2PRxLoAyZ5OlYJpj9TIMn7b91ym18J42L17t7J14L4944wzpLjAsXgGcCBc0O/K+Q2jXJgM3ZMIiRoRWDsS1cHBIQAg0Dn33HOVEspLlUEwYarBFCohgkey6CaDW8rMa9WqpZQptoBySYhUlBBTp051BGoJI1IJ6iF+IC1QbNsCuv+SnEHNZRKo9lDvmfI1JGhFvRarUQpARa3vYwdzoKSYRNmYMWOMJQzjAcKJ8WRqLU62rB9CxO9zmSkCVYPzjUUKSlTWftZZWxKpQVOfUkHBPo65jvOZCUWkSSKVzyOJibe67eC8m1wL44Fk46RJk5Q/tS12RJmAY/EMYH84UCxd2j7j3xKFGEpU/NXImPAobHayN0KJWsZuSb+Dg4NDZEn/f//7X5UJjgWUVBA2phQwlGpRHrx+/XoxGRiy8cfjkA2fLdDXjeNzwV3JgfaEJcnBdbdFPYfiBYUsjZRMlqdzfiBTTJLLkF3MXV42KCSwUEGa9lp2CKlRCeRtJSl1QhE1ny33eyxAhKCOp2ybBoFBJFAjzzuJZJSTWpVKgob518EbXHvU3ahPuSbpqk9tIVL1Oodnru1l/KyFKNhtSrRGS7yOGjWq2FVkOBLVAA4cCE3MTolqJ4lKaSeZSR6Ffj+FTaXKs+L6faQODg4OKUEHHF9//XXM9+ANRsKIEmITQLGA2o7yQJPBI+cAIpXNug2EpS7hP/LII9V1xG4AxYFD8QYeqFhw4BPcr1+/wtJ+08QKn09zK1Tbpr1ZaWpFySjqcRPA72/dunWepfyomL788stiFzgGFeeff77qzI7i0NaSeUh5js1E+XKygLSBYILcDCqBWnT9J+4jQcQ6q0v8Tc+7NgKCmXM0YsQI1TCod+/eGVOfmiZSg1TGDxYtWmR0LYwHBBKolNlTDxw4UIoTHItnAPvD5fyusZRh6LL8RBpL6fdo4tXBwcEhQE01vEr6eQ+G9AQppoACB2LCtArUlrL+oh6oHBOBCsHkggULXGBXTIESGgKV5i2QqEU9Uk1ed1vK+JknCOBNNcMDKH+4J73KJz/88ENVCsq1dDAP5naSEuPGjVPEj41AuIHCk3neVqLX77J+PwjUyO/EeouikvmXOXf06NEqYeLW3BDBiJL722+/VWpdlJrHHnusLwSeX0RqkMr4WQtRrmNXYmu1w6pVq1SDsOLYXNGxeAbgGktZqESNWBwpn/zb3/6mHoUlsLqxVFm7Zf0ODg4ORQGJ+vnnn8vWrVtjvoeu9CjgIElMAAUDZANqVJNldGxECQwgs0w1mojVRApvRQJJCCTKKG0Psh2SA0QB5caQlJGleTYQqahJbCjjB5SP4v+Ggt4EOP+QqM2aNfN83zvvvKPsVBzsAdcDEtXWkn6Aupl7zGRSM9myftarbFRv+EmgRgIbFRLLAwYMUKX+KJhJbm3atKlEkql8ZzygIZTnzp0rbdq0UU252J/4Sd5lm0jdvn278qBnnbO9jD9yLWRvaHuzsYuK4VpYbFi8Rx55RE2yubm5MU3eudGLPt577z2DjaXszBqUOCUqC+K+Pf/f3pnAWTX+f/yZys6Pv1BI1kiWLFkiihAia4QfSdlFkWw/2ZcoiqQSLSKESiElbSiy5BdS1iI/S7KWtpn7f72f5hln7txtZu6955x7Pu9e5zXNnTt3zj33nPM838/z+X6/xltfpHv37nbj/+WcqDXVVEoIES5YpWZVPdV4x4QRpw7igF8g5DrHm5/QbMI1msh3Wn8yAdXB/KZ58+Z2sk+KFE4EEW5YNOBcYwGBphwE7/H4KaQGKY2fBibcH7in+QWuND6zunXrJn0OgSOiCynkIjiceuqp9vzhswnqvZPYFJc1GQdlMUiAYcGHBQ2aMmVzAdQvATXeGYwjFTGV9zhz5kzbnAwBLwo1U6l56kobMAYg8Lds2dKOUX45H3MlpGKawjFJh/tU9/agEISxMB0YM6iFymdWiM0VC0ZE5eRv27atufTSS1M+b8iQIXYS6raTTz7Z5Bs391VNVJ/xpubH1UWtgJyoQogQc9FFF5lHH300pfjC5JFJWb4aRSRyfzAhJHjyax8cuE9okMBEPV+CVToB1bHBBhuYZs2aWWENZwgTVRHeuSuBOemwhx9+eMqmHH4JqSysINr7ncYPCM3UjfSzwy9prIgI3K+SMWjQINOmTRvfRWdRHs6bs88+2943/V6sSwXuMvaVeodBx6X1M2azGJSN+1IQBNT4RWaE7WOOOcYKiTgAJ06caF2Zy5YtM4UGWUt8lq+99pq9TnCeHn300bZ2fVmvEB/JtpCKII7bmGsuyKJk/DXi91iYDq5hXKgXX3xxYMsNVIeCUfFuu+0207Vr17Q1LHBxsMLgtrLu63mkpKyxVOGdUKF0omZSF3X1ioq/I4QQIQFHFMH/u+++m/Q5OC0QavxMdcTthkgYhAZKuFERt/JRpzVTAdVBILPffvvZWrI4UoOcnioSQ+kMxBxSd6krl6q+pl9CKmn8NDRDJPE7jZ86ddSy9LPGKILJzz//nDKVH/c6ho1LLrkkr/smMoOAftKkSfa8DmpqtnOj4mgOqmM2vhzPgQceaO9L1S1DEDQB1Qv3QJy3uDG5J+IGpD4ozmYWm4LQkLI693rmXYxJM2bMsKI4ddjJfEGsC4J4mishlXsB1xlzqjCIfYyFlFcIcr3tVaXOXj6f888/3xQiuWmjFmAuv/xy06lTJxt4MMHp0KFD0guGm6H3huhqxZFeUdUUC36PdH5qmbHyEYZUjaDjjmFVjmWtWuubojUrzOoVfxmz3mYVXsd91kUrl9uLJVZzPbMmAp9ZdY6pSIyOaTCPaVQ+j4033tjWJBowYICdeCaCsRA3KoGbX+laLnhE7EWo8LMuFWn91EdlEkjNKcTdIAio3mNFqiGBJi4K5ihBbjAg/oEAiM+cgJxAqDKfmRNSEc8Bh2guPnPmqNTexZWNM85vcH1xf8rVdZgJLERhwEi1D6NHj7bdkmlOI4IH91nuk6QoI9QF1S3MmINQRFo/C3pBh3J6CKk465lvsO+FJKB64X7LecOG+IaIx34zV2Axmse5T+ASDOp4zAKCE+PYyDagQRRllVxd3qDjhFTEOkDsrSyI33x+iMVheM9BGQvTwTFFkD/ttNNSZtiEmUiJqLfffrsthMyNHhv+ZZddZleRrrzyyoTPv+eee6zDNR5+l9eozo2L1Z4N/ywyP84LbjpJ2GBlubIcF6thCNGnTX7NLFt/bfDqXfUllQG3ct1f3zPIDr/+sczMeOUVExWqckxFanRMg3VMWX2PCiwcMuHs3bt30kL0TJ5ZlaexUlWCoGzA3yUQ+fzzz80ee+xh/ARnLDUQmaSTQo/jJggCqhcCNlLB2UdS+3HIVGeOInIHC+ikpBNw8zkhUFaFfAip3AcwEiCM+A3uTwL+Jk2a+LYPOLNIbU22COWgbApux1Tp/sL/sbBXr142tT+oIiog9iJEsNiSiVPdbxDhyAilPiqiVGX2OSwCajzEiCxmshE/IkjimCfl38aPdetaEYlMWL73S1RFe8BJT6o+91P2k/GI8599Z6EsDM2UsimkkmlEIyl+PwzXV1DGwkzOtXnz5lkN5aWXXjKFSlEsqLkMxpjrr7/e9OzZM+Vz+JDoDOgYOnSo6dKliz3B0tGjRw+bcpPMBp7IicrFSXBZ1Rs8rqe7h/c1G261qTmm8WGmcf1/9l2YKh9TRBTqtVR2FalW70am6K8fzepLphtTZ22wziDjur4SkHJjLfp4tKn1QidTskMzU9x+rCl0qnNMRWJ0TIN5TLmvM8FlYhmmiXtVIbA58cQTTbdu3VKucnNc/CwEzxhOF2XS5vxebceRh1jFfiB2ZisIyoaAGn89IHwtXrzYis9+Nn/IFrynV155xRx//PGhv2/S2fmDDz6wgSoCajZqmTFf4dzk/MmmkIo7h3OpskJILiBMoZkLCxoE+36B+QERlWOS7DhTR5D7JuU1gtoxWaxdPGXB8Nprr7VGGr/P8VTgBkfsCrJoEg/CFGIPZUoyuW+HVUBNt+jCMUBQ5d6P05N7P2IqG251vjKvyOS+XZmx0AmmzKPYmN/ylbkM4w5iN+IuXwtlsYdjjZBK9lAmQir3AMYV6r2SnRwG3FjIeM9+B5WffvrJ3H333bapFA3Jwj4PDaUT9ZprrklbR6E6Jz4rD3fccYcVSknbi4fHEj3Ozas6k3kuAmqLrFvN1xFZ+FxKm0utE1vNC5S9ToXX5OfUsV1nPVMjQp9Zdc91UREd02Ad06h9FldccYXp3r27rSGerMYV4yriNBNvJvp+4OqXE1whOPkJQQZuPBxBuGOzMXnNtoDqzuV99tnHik0E3tRy5Xu5Uv0FAYTzmFRwUvdpzpGtoCIXjtSguXM4j3F4kb7oF4gPNPlhcSLV8e3Xr58555xzJKAGHO6JHTt2tCn9LCoGoWlaMjAKUXcTEYxxMQxwncyaNcsuGjF2prpmClFABbJWGNvd+I6oyuK0EzZdCj3zC7QGXKpuc98juvJzjh/3IMDIxdyN79EvuDeyxf8fOJ6cM2Q88JnwfaGIptVxpPJZUDKKz8bPcaUq80Y+36CLvl9++aV1oV599dUFK6AGXkTlgshlOiHqOI7DREJpLnHm3xpFhXkjCxXrrFehsRQDF6sn7v+W4lXlRFchhAgjJ598shVQcTQQPCaC+x51sRAM/XS/EDxyL0Z08rsDKfMEJug0XGBfqiN85kJA9UJaHqWLaDzE8SsUV2oYwYGEoE1AjYMxF+dxNoVU3Dmk4lKX2K9yHl4QCsg4Q3zOdimNyoCzFPGBBYpkkLk0YsQIWxNSBB9KujHGIPTx1c/zKxU4FakPznVAo58wwLXC3AHXHJktycryFKqAmgjOLxZXvAssLLBxz3XipxNAEVtx89GcB82AjecC4zrHlw2R1Qmv1KH1irEsFBSqYFodIZVjyTXP50HpibDMixgLuZb8HgvTsWzZMms4YJGABcVCJrifQiUhxYbJKl+50SCQAsEXN5Zx48ZZSz1pNtxccNlgNU6V0pgrSowTUcNx4RY0ThRd808dVFb4WrRoUf55TmStmV/BXQghsgluRerB9e3bN6mI6sZOXDpMiPxyozF2I+YSPAahLiOuXLq3MgEnTbEqQV+uBVTv54yDF9GH+RB/F1eq36URouo+paZhLgPabAipzp2DAzwo7hzm9LwP7gN+QdDNghKlBFId08GDB1vhiHRSEXw4x1u1amX7XFDvOsjuLrIfiFtxIYalSQsCH4IWZXkQfeI7iUdJQE0G8SYLa5ksrrl0fuLTqGVQZUtI5V7OoiYOYK75MInMjIXg51iYadmb119/3Tr9Cz0LKjxnTwb1TQkYbrnlFtssiv+z0bEWuOE88sgjdhWPQGLgwIHmgQcesM/PN86JWiQnqv/UquhETUiZEzV8RbeFEMLLpZdealPt3PiYTJRBgCOF1U8IvKh1hSsjCHBMEMSYoOMSCaKA6oWmEbhSWTwmJRRBmmBM5G5+R7DDsUbwoOEX4ls+gjUnpHKe4VaqTMsDF1widtAJPAjuHBxZnK801/Ez2OV4IjCnSg9lXx988EFfjBmi6vB5YbKhq7pLlw6qIMl9hDIbQd7PeBAHEUlJ7/XOJSSginwIqVzXru8NYxw1qzHccd7lOwu5OjDX5JohQyTIwu/KlSvtQi4LJ8mathcSwf0kKgkNpZzl3bs5R+Gxxx5btvqAyIozw6/umW5iWzPAF0KUnagEmAjubGXBppyoQogCgWYCF154obnnnntSPo+gDUGIFDO/QPxj4siYHRTxD2EXVyppz5kGtH4IqPGuVAQ2AggcTQS0Lj1QZGdeR/oa5RPoyozwh4Cab4GgqkLqggULbDr6AQccEJggjYCXe1W+r5dELlSc+amOy7Bhw2ya7gknnJDX/RPVg4wCXNsvv/yyLdkQZDgH3bUaJhgrEa24L+JSk4Aq8i2kMo9lPGQxnvExbBk5LJ5QftLPsTATvvrqK+uWPuusswLvmM0GwZgpRYxYWTq/Dn9gnKirV5Rb8aH5CluZ08iJrHKiCiEKABo3EjgS0CSDAIf6mrhI/IR6cKT20y08CODSI62f8YGJeZAFVC9MwglcSTlGMMAtSRf2yjgWReJGTDgvWKjnXG3ZsqV1Lfrl5qyskErjJoRCAs6guHPYJ5y8frti2QdKmlBTOBm4VO+77z5z/fXXB0aAFpnBuXXDDTeYl156qdLu7XzDucViGAtgNH0MEzQ3IhOUMZz5hARUkS8hlVJQLMLjSOW8C5uAyjhOOUrKxAQhQyQZq1evtsYCyqNcd911JgpotPeBkrLGUsG9GKLnRE2Tzr9GjaWEEIVDvXr1zL///W/Ts2fPtG5U6jpWNnU9mzBxpAzP4sWLA5PWT9ozohP7xOp70AVU77FEGKfJEQ5fXE24J9nPIAsIQYTmH5R1oJEQwdpRRx1l6yoGQUjLVEilSzTiL4sCOMaCkhKIe4imH2XNPX2C64PPNFUjj1GjRllXd7t27fK6byI7tG7d2t6bX331VesmD7oYSTkZ6nKHKa0fGLupAcq9iMUJIXIN5xoCJNk43KPJxAkTzLuDMham45tvvjHjx4+32Rg06osC/s/0ouxEDcBEO/KsUzGdPyHFK8s7V4UQIuR0797djBw5sqxgfSJIUcXB6HdtVArU0+EXwScoaf3sE0IqdRtxdAZdQI0XUxHScU3inmSiTkdV15xTJA/KqNGLeMrx4hw4+uijbdAQtGYf6YRU3Gxvv/223fdUXef9SuPfdtttfd0PhB5E5lQNhzim9957r7n22msD3TFZpL4X4iLGjUr366AvJrkGTWFK63cp/DTzwQ3I97jfhcgVrgYqCyOU1qGxuLdGahhg/5l/M1cLMsXFxXZhh1R+nP1RQSqej05UNZYKoRO1ptL5hRCFAR1/27RpY3r37p3yeTgWcVv+/fffxk9IqaVRRSYp9PkCkRkhlZpV3sl5kAVULyzmIhLhouT4EthSMxVh2O/PO0iQso1QPnXqVJuyxnnIMcMhEpQU+MoIqbhoEVCps4izLSjg7A5CGj/HCUGN40NTn2QQNBKkd+jQIa/7J7JL27ZtrQg+YcKEwLskw5bWH18DlTGT/7P/1EkVItu4RokseCLcMw4majYVZChpg3s76Gn8wOI7YyHXNXPeqCAVzwfUWCpAOGdpOidqWU3U4AZLQghRWVg1Hjx4sJ1sJoOVcFLA/Xa+uLR+JpekaAWFLbbYwtbdYnKOCBQWAdULAsKOO+5ojjzySJvajQMPMRXHJSJR0N1ZuQKRAjfIa6+9Zmv5cYyOOeYYu7AQltpq8UIqDVYRUHEgs5ASFEjj51gjoPqdusixWr58eVqBmeZ8Xbt2Dc25IJLf/8jMGDduXCiEPdL6EfiDntafrIkU+889iVJBLEAG+T2I8C14stBJo0QEVO+9OSxCqhsLw5DGX1JSYvcVJ3+UXKggFc8H1FgqgE5UT2OphDinqhpLCSEKCBwtdCju27dvyufRbZzV5r/++ssEIa2fRgFBSesHRGY6mxPUvvfee6ESUBPVTKUJCE5LAl8CDpoF0BSEmmKFLqhyjiOYkq4/Y8YMm6rG8TjiiCOs8BjGtG0npCLy875IDwxa3TKXxu93aQGCQpzYpE2n+qynT59uBaBLL700r/snckP79u3togkLJmGonegWQPxe3KysgOrgMeYeLODOmjXL17rrojBg4Ysxm7khAmoiATIMQirjShjS+IE5BU1qGS9btGhhooRUPB9wAYgaSwUpnT9dTVQ1lhJCFCY9evSwImqqpk2kL9NxHHHBb4KY1g9eN00hOGsQrBHPqflJStmKFStssIvIQKocbj1cH4UwJ/vll1+sSDx58mTzxhtvWKcz51mrVq3sQgMpqEFPqUuHV/wO2vnp0viDkLpIYM2x4vNPBj+/6aabTJcuXQLTkEtUDwQXuko///zz9l4Q9MUi0vrJGiAtnsyBMAmo3sUdhFTeC4sSuOSFqAqM4SwQMlaz6JmqzE6QhdQwpfEXFxfbrKsXX3zR3HzzzYHf32wTvuX0AkBO1CCm8/9TE5UbLx3m3P/L/bym0vmFEIUFgQ5p3Hfeead56KGHkj6PlWZEJgI20vH8TuunqzyutTp16hi/cSn8TZo0sQEh6WQIVQjPYYf3U7duXbvxnnBpkeKP0EDdVAISfsbnEJa0ZpwqOKB4H640BA5cRGPeT9CaRFUXVwOV8xFxkP9zHe25556+Bz7eNH6/68sSFCIA4XZP1fwV5w3P46soHHAVP/jggzY1FadnEMaWVCDgk9bPolbz5s0D0bA4UwHVwb3WNWhESGUMDfpxF8GC841Fde7blNzJBCekUrIIgjBXC1JJm0yP+4svvmjLGx1//PEmakhE9bWxVLQU+0CyTkUnKulbrVu3TtxYSun8QogC5K677rLp6DirknWjRiBjgkrDFQIkv12SCECk9SMA+yl6JaqBSo3Ud99914qOqRxtYYMgnRqwbBx/nEMIkd999511dTDxR2AnuOcrm9/BAIIpabpsLACwkbK/8cYbW/GXz4rUuSAIELmA941oyrXLQghzT1L733rrLftzP4VU3H6cN5xP2267rfEbGugh5KbaF4RWar/hRM1EJBLhgc/+9ttvt64qyplQ/zjosRpiL/dgarmyCBQmAdXBMUaI4XdYgKTUCPWIg37shb8wv0I8JZPh4IMPtuNIZQiakOrS+IMwFmYyr3rnnXesiEr9/CheqxJR/UznL9AJe6hQYykhhLBCyplnnmlT+0eMGJH0eQ0aNDCvv/66TTfCuecn9evXt6lPTKJJufaDZE2kODZM6plkkvIepA7o2YSyCmycF06sRKTkK4ENYiXChBNUeS7fI6yyZau+KMEU5QbYcHMsW7asbF/YB6+4S4DC17C4ZqsDrmFKMOBW8zaRcjVS/RZSuX5Jw2QhxG+oyfj5559bJ1yqY/HUU0/ZxQPVQi1M/v3vf5tevXqZsWPHWmdb0OsSEksy/lELkjHIryyRqgqoXjjW3JtYgMQ9T0pzzZo1s76vIvxwv0Zw5+vhhx9uz5uqEBQh1aXxMxaGQZD88ssvzQsvvGAXmyifEEUkovpASWk6f02l8weoJuo/6fwEgkyS4ZxzzlnrcCp2jaUkogohCpPbbrvNOkCuvfZaG7wkYt1117VuNlbMabTj52KgS+unhiUT4XwHu8kEVAeuCCaXTM4R8ui0WsiLp4yVzqXqHU8Jhp0DlCDBiZ0sKCOiIqoiaDpxlaCZ48Tn62p3UvePx/gdnIAIpWzutVxTEvcavB5iAoJpENywfkCtN1yeOLwSucv9FlIRutk/rmG/0/iBdGJcQNxLksE5x0ITbsUg7LPIPtx/7r77bnPBBRfYmsiUjAn6fZtFIRayGI8QlPKdmZENAdXBNUhpAoRU7k1kCkTx/i2Sw5yC84NzDQG0uouxfgupNMRiLAxLGj/j4JtvvmleeeUVe8+JKhJRfUBO1GA7UQnGOnToYP/ftm3btZMRl86vmqhCiAKFtHPcVTfeeGPKWn+kBS9cuNCuRBO4+QliGSLme++9Z9Oz8+XCSSegOmhyQEDI5HzmzJnW5RYl8YXxk47rbPHzIMZarxDqXKRs/BwBFcEUEKG94irlHDi2BBxOOOWr5lVrjy0lN7hGESBSOcb9ElJdKiBuckQqv0HgR3Smu3Cq9z9gwADrpmaBXRQuJ5xwgl0sHD16tF38SlbiJkgwFuPq/uCDD+x1n68FkWwKqA7u59yXEJamTp1qF1oovSKiDWPbokWLbPYR2T2uPE028EtIJVMJQZhxMOiud8eCBQusC/Wss86yi7RRRSKqnyJqCOzaBc86pel8q/9xoiZETlQhRARAQGVySoMHHC2JQKhixZw0YSZ9fqdFE1wxmWbyi2CZ65X8TAVUB4IfHYgJbjmuTNSjXkuRwAfRky3VsUBs43gTRBdas6dcwPHi3MTlyfXLwkI68i2kMgfmWuA6DUIAxv7QzIP7XqrjhfuJ5ntDhgxRinGBw/nfs2dPc+yxx9oNsT9bpUdyBeMyi3SMMQib+aiPmgsB1cE1RpkCFje4pzHWImhrHIgmNLGkBj734Vw1H8u3kMrYQ1M47i2c22GAuQXZX9OmTbPXf5TRkn2e4YLhHxQpnT9A6fzpaqKqsZQQovAhFZt0/uuuu65swS/Z8whq6NAeBKj5yD6xou/ci0EQUB1MkmncxaSc2nW8jhDZBLcuAgrXbaYCaryQynmJyyfVtZ+NtHlqihIIB8E5jLMJF3Q6V33v3r1tuZMKjUdFQcL1QMkaHFeUEwkDlNtBBKJBGs3+wiqgesVsBGzqRJKhgHjz448/5uRviWDCWERWBZ89C2+cC7kQUOOFVFzQCPi5dnSSBcHcMAhjYabj96hRo2zWGtdmlAnHJ1ZAlMTW1vcCOVGDlM6fxonqRFal8wshCpyuXbvayaOrDZ0Mmm4Q0Pz888/Gb1x9VNftOxciUFUFVO8+IsLgruF16KacS7FKRAdqzSKg4sqmoVlV3Fr5EFIRdr7++msbpCL4+A0lJSh9gPs2ldMQsYhmQ/fff38omn6I7HDvvfea8ePHm8mTJ1sHVhig3AQLFLj2EGjCKqB6IduF+xrjJ6V7cLLjuheF7z4l44nzjXOauVM+nMj5EFJpJEUjQ0pvhKXE05IlS8y4cePsmHnjjTeaqCMRNc+UeCalNeREDaETNfgFn4UQojogpjzwwAPWkUqH82TgCiCoIRXWNQDyE9L/mJAiKOHECZKA6oXaV6T3464gIKQmlhBVAaGT2sQ4sBECWdiojsiXSyEVQQdhh2AYoScorhrqKKe7pllYateunRVyRHSg3MTll19uhg0bZse5sIBTz5W4wWUdZgHVwX2Nuu1ypRY++Xaf5ltIZV7NQsB+++1nm8KFAeb4s2fPNkOHDjX33HNPhTr3UUQqXp7xBpo1Q2LdjoQTdfWKDGui+u+cEEKIXENTPQLIW2+9NeXzaDJFcIOQEwRwrCCkIo4gpgZNQHUwcaZ+q+tyiuNCiMpA2QpESdwsCBrZSq3LhZCKkIOgw6JLvoPhdM2kqEWXSnh+9dVXbXMbXIkietxyyy3WQU2TqR9++MGEhVyUuPFLQE3lSqWmpFyphYNf7tN8CanM+RgLKR8ThKaKmUIGybPPPmuPSadOnfzenUAgFS/PyIkaQicqn5lL91djKSFEBEBU6Nevn+1GPXfu3KTPc02mSE0PSrojXdsbN25sAyzqRAZNQHWQwkUwihMOkYZAXen9IlMnC7V1abKBGM85n02yKaQi4CDkIOjQvCkohgYC43TNpBB/O3fubBtKETyK6IFrmlIOw4cPt+JHLmtuB7nETRAE1ESuVK5RHIs4FzV+hheuKxYE+SyZG1GPOAgLbtkUUp2b8//+7//MrrvuasIC1xhzVGqhPvLII2qsWIpUvDwT89REVV2lYNZE5eb93HPP2c3WKSlZY4z73GrKiSqEiAZ090VAIJ0xXZMpGibhCAlKEMP+EGQR9FbVpZJLAdUrQhPoIkQjVjPBxqkgRLIgjAULBFQCzGbNmllnVi7IhpDqFXA4z4My76VREEF7ukAW8QzB6JJLLsnbvongcdZZZ1nn48iRI63QExayVeImSAJqIlcqZUxo0jNlyhR7vwrKPERkNqYhgL/++utm8eLFtskSae5BqJmdbSGVOR7lm3DXBmUszAQayD755JPm7LPPtsdBrEUiqk9OVJpKhekCKngR1aXrl3ZRJpWVzTYa8DadUk1UIUSEuPnmm22q/tNPP53yeaT+L1++3Kb8BAX2acMNN7SO1MoGVfkQUL1su+221lXDvAAnBsGEEF5wndI8inMDcZNFjlw7QqorpCLc0HgOISco7hWOI4ILgWyqfUI0ovabnDfCZWaMHTs2VE2mnNCI8FHVEjdBFVC9n029evVMy5YtzQ477GCFLhaZaIIjggtjCc2VEL5ZmKCmN1kVW221lQki1RVSmRvzfhkLUzUxDBpcR9z3qAnNeCj+QSJqnikuWZsGUqRU/mDgnKXFKZxKHoFV6fxCiKilMtJkqlu3blZ8SAY1qxAl6NoZlACT4IqaWoi77FdQBVQHmQ+4MHClMmGVK1V43acIqASYBJqkA+aLqgqpCDYINwSNuXLLVuVY0tBjp512SnsMaSZ15plnmqZNm+Zt/0RwQeS57LLLbJOpVCVuggjnelVK3ARdQI3P6uC6Puqoo6xLnywUamumao4p/BPmELqZ5/CZsYDMQnLQzWVVFVJZSMTNyVjIwn5YYLzknkEpk7vvvttmnYl/kJLnkxNVTaUCQs3S1SDS9UsFbqz21P1gs12T16xa+5waNdduQggRIc444wzr6uzRo0faCWbQ0voRd5n0ki7GFlQBNZErlWMoV2q0iXefch364YqsrJDKfhN8IdzkU/BNB44nAkM6l6filVdeUTMpkbDJFOLJiy++aF1lYcKVuEFYzGRxLkwCqhdcflzfiKnUO+b+yZgelMXdKIOgPXPmTCtw161b135GNCdFAA8LlRVSWbRgLKSBYdg62pOFRgkT9vvCCy/0e3cCR3jO2gKriaqmUgGhhqfjX6kblckFogGbnWi4dP6acqEKIaIH7gBSWh977DHz1ltvpXwutcnorhqktH4CKRwAuIdSTXqDIKA65EqNNn67T6sjpP7555/2PkHTJoSboICwi4iaLo2fQP/iiy+2AmpQU0uFPyAmPvTQQ+bxxx8306ZNC909mUWYTTfd1ApZq1aVGkQKSECNH0NxD5Pm78rkIHxxfxL55ddff7VCIu5Tzqejjz7a1qMOU1p7VYRUhHvGwvr169sFjDDBeDlhwgRrKBs4cKBK2iRASp6PNVFFAPA2iipOMqFwImqt4BS5FkKIfEJTjdtuu8106NDBpscng0kxDWSClNYPpCEhpDLpTeQgCpKA6iDww5VKl1rnSl20aFFgXL4iNyxdutSKp999952v7tOqCKm4bggaqU2Yzu0Z1DT+q6++2t7vLrroorztnwgP9EtAmBs8eLBd4AoTjCmMcZTXwJGaqOliIQioXkifplERC1FkF+IwR0Sm3IjG0tzecxnDGMsYE2gUxXXDQnuQmkblSkjFTPD222+bbbbZxo7hYfvsWLgfMGCALWtDWSxREYmoeaak1ImqmqgBoabHiVqyOnVNVDWVEkJEGCZTiJH/+c9/0k4uWXlHtGAyFhRwlTEZZL9++OGHQAuoXtZff/0yVyoBLo0Y2H8FgIUFDinSHAm8SHVs0aKF7+7TygipLK6w77hPESGDBI2kMknjf/XVV63zBqdh0OvzCf8gM4PMhueffz50af2kTjMOUuoGIdWWLStQAdUL74cxHhck91XmASxM0vwukZgsqsaKFSvs/XbSpEm2JjYLwa1atbLzl6DUxs61kMoxQDhmzokbOmxjyRdffGGefPJJe69IV8YryoTTRx1i5EQNGNQ4RdBG3E7WXErp/EIIYd1wQ4YMsa6OU0891TRr1izpc1l5x4FASjJdxIMC4hT7T2oZztTi4uJAC6jxrlT2nyCXurOUKeA4h63OlqjoWEG8wLVDyh914hDOg4wTUl15D1L3+T/nJ+dkkIJGmnoQFB522GEpHb2//fabrfvWu3dvuwgkRCrxpH///rbsA5kXjIekj4cFrgMW5li0YTv44INtqYtCFVC9cG9lkadBgwa21jTvmcwZHIPcfzfffPNA3b/CAAtpOHs5lj/++KNdbEc0ZTwo9GPphFSuI0A4ZSzkPOIYhO39k8b/2muvmeeee86WXwjTfS3fSETNMyWlzYvCVEQ5Em5UhNKkImppmr/S+YUQEQcn1+23327T+ll9T9ZplLR+3C4IqYh8QaotSLCEK81NetnPIAuo8cEvghUiD0X/SUtkEo9QXciBbyFCTUIcOwSeBJs0E0OcDAtOSH3zzTetC4driOYZQQoaqVnJIgluIGpBpuKaa66xqaadOnXK2/6J8HL66adb1zK1wnfZZRcrSoYJxmjEH8YQshtwY3I9R2UcYSxlHGVDOOI+zJwAkZXHuJ+F6X7sh3DKcSMjwZUZ4rgxBoSpA302hVSc3YiOCKjU3g7SWFiZNP5HH33UlrXBXCCSIxHVJydqTaXzB6suaioRtSydX6sxQgjRpUsX2534pptuMg8++GDS5xGMMaEmbY7U5CC56wigmPQzyQ1KvcnKQCombho62+L2pckJTlUei1oAEzZInyWFFOcXwRaO7s0228yEEQwBXEMEX0G7jri+ufewiJOuqQdp/KRmk6IdtsBX+Ee/fv2s8M65w/2XBbqwCancg1iQI8U9qmMHcxVcg3yWlGcgK4BUdI4HC1xscqgam7nzyy+/2HJCbCwEskDOseNrlA1inEPMcSlrw7EI47lCxsaIESPsfeHmm2/2e3cCj0TUPOPqw6kmaoCoUXoZpEvnl4gqhBBlaf2stJPGSJpsMnAmLFmyxLrBSBMMwsTS1UDFOURQ8O6771o3KoFS2MD1QACDO5WUcGq80dSHVEWlYQVv/rdw4UIrelMbjnISOFjCCo3jqIFKwIgTj/9zfQelBhwBIY2uWMBJtT9K4xdVhesX1xbnD/dh3Klhuu8yZuAiZyHnk08+sU5MHHVh7ZqejbkNNZ3ZcOZSCgSxkDkC1KlTx84TuOdF5RghlJKiz3EgZZ/3zTFo3LixTdsP2uKZH7gmUixEcB/AzcmYw3kUtjT+Z5991maXhOk+5hfRuAMEsSZqDf8nmCKuuVRpYym6BiIQuP+rJqoQQpRn1113NXfccYc5//zzrdsrWaosE0kmlTglSV32u2N3oiZSuCeokUqt1LA5iRykHfKefv/9d+ugoakDE3i6kW+yySZ+716kIQglVfTrr7+2ASjXA+deEITGqoI4Sd03rhcnmnprpPotpC5dutSK1ewTru1UbtUrrrjC7m/Hjh3zuo+iMDjttNNsWv/AgQNtZkDTpk1DcW3HN5FivxFRSe+nRmqq6yYK8P65v7Fxn+CegpDI+MocAgERMRGnO2NsGD7zTGBhmSaHLH7zfnnfnB+MWSzOMtcrlPeaLQHV1UB1KfzeGqlhEFLJjuE90DCvW7dudi4s0iMRNc/EaGBkG0vJiRqodH4oXlU2cCIMlCEnqhBCJEzrZ+X6oosuMs8880zSiTX3VJyerG4TePjVCCmRgAoESU5IJYAIw6Q3GQQ4BMC460gZnzp1qj3eOFXDmmIWVnB28BmQGuocKoXQaIP3heuG68TbRCq+2ZRfQiqiNdcydYI57qkYOnSomThxoq3vHPbPRfgHblQElOHDh1t3KmJTmARUYIGHsQPXJdc3oqo1kgh7b2AcZSPln0UkBEZS/3HwAseRsixuo/Fj0NPbme9wP2fxlTkDG9/jLuW91qtXz86XyJwQqbMxvE2k4ptNBX1O+fHHH5tBgwZZIVhp/JkjETXPFJem89fQZC086fyl4qoaSwkhxD8QIBA00p2Y5hqIqckgqEBwQdxo3rx53uujJhNQHYhbpFcTQJJ2na6GYtDheOMm4JiTQv7hhx/aIJlUfyb0StXKXVBKcI1AgYOHIJRyF+maGoUFgm2CRhx3uMrjhUe/hVRXB5XjjQs7FXTk7ty5s63vHJbGciKYINazkEhzOLI0MGIgSIRFQHUgnjEOMk47IVVjRUUQSClhwsY9B+cmAiT3R8bb//73v+WEVe5HfEWMZFE53ws27COLS9TrdGIp+4pgyrzA7R/iP1+pBatFpcpnY3gJi5DKIi8p/GSLMU+MugO9MkhEzTMlpU5U1UQNEE4cLV5TZmvHXQWtWrUytdasWPtzpfMLIUQ5qBH21FNPmRNPPNEGXDSSSgbCy6+//mqFSoSWfNXSSiegOnATOCcOE2Svyy6sIFYjdhEc4ZoheCYdkeOAUIwzOOzvMQgQRBM8U1+QIIRji/u6kAQIzh8ESnc+JcNPIZVzm2v38MMPT/k3ERPOOOMMc+WVV5pjjjkmL/smChvGjttuu8306dPHLladcMIJgXNyphJQHYzL1AvnWp8+fboVgpI9V6x1qXJ8vMfICavO4cm4gNuP+JLFZ8YFxma3JfreNe1j4/+8JrDIy+vwPRsLdytXrjQrVqwo2xJ9z3M5HxFM2SSYVh1q5VL3lOucjIdkxy/oQipj5YQJE0z//v3NsGHDQm8eyDcSUX2qiVoz4Bb/SFFjnXKOUwYbJj/uBlNL6fxCCJEU3DfUUUKUwMGCiJIIJpq4VknrJ33W1Y8KgoDqQFREgGHSi0sDIawQVuYJwnBFshHcLVq0yH5WvDcew4mrWmeVr4WG63Tx4sV2cYDzi/Ol0IRpgm/qi9LBO9PryA8hFUcNdWe5ftOJV1dddZUVEG6//fac7pOIFtdcc42ZMmWKFSVwqCGgBOVekImA6h0vuNapYz5jxgyb1SC3dtWEVa9wRrOqRAInsSY1SN1jiKTJQPSKh/tdvBCLWzZemI1KM6xcjoWMMWQxYBjIRHQMqpCK+I7bvG/fvtY5f/LJJ/u9S6FDV5NvNVGDMaiKio2lKrDGpfNLRBVCiET06NHDpgPRpMU15kuESxfkudSLpFZnUARUB8EHQgy/65w4PFYo0ASDum44KDhGOAzpZI6gipjKpq67iQMonEUIp2yI7KTscm7h3Cok16mDYB5HGu+bsgSVcaTlU0hFxJ4zZ479HNI1Uhs5cqRN4ef5EhVENkF8xNHFYiEZGmQ3pCsrETQB1cG1iuuc64mxEOcipQqCIgqHEcZYtnTzCdymbM5tyv9Jx0egb9mypRVNvS7VoNdeLQT4DCjTwNjPdVSZch1BFFKp5Tt48GB7Lt13331+704o0ezBJyeqGksFUERNWhNVTlQhhEgFghtBI8Hjk08+ac4999ykz6UuGEIqq+AEaASaQRFQHQQ6THpxHCCk4jDMxX76CYHXtttuazdcCb/88osNEHAJE7DxfhFUKdlQiAJhJnBcXJdiNkRFjgviP8claOm62YSUd4I+3iOLClU5B/IhpOLcogRHw4YN7WeSis8//9xcfPHFZsSIEYEIZEXhgWDy9NNPm+OPP94Kj+edd551PYdJQPWCo5br2GVnkEGixYfckkgYdYua3IcLITsmTOAWZoxhPkBN/6o02gqSkMrC+fPPP29LFzJPjur8rrroLphnVBM1yOn8aZyoNQs3WBJCiOqCGIcL58wzz7SiI07HZLCK37hxY5tSjkCTTadndQVUB2IPjk0CTybQvB9cRYXoxCFAQxxkI02NYBnRkNQ1HHs0TkFQ5ecI34XqfMH1Q5o+Nc94/3xFROS9Ix7g0C3U9+4FQZ1zHgGF86E67zmXQipBLfvJ55LO1c7nyr2pY8eOpk2bNln5+0IkAqHluuuus6my9evXN8cdd5wvQkV1BVQHpV54T9SBpBwPYpA6tosoQBYGwidzVkwC1VlACIKQSjknxNN+/fqZgQMH2uZoompIRM0zxSVK5w8cThwtrYlaAddYSk5UIYRICe4b6g0iUiBuIL4lgwkkYh0TSoTUbLgrsiWgxu8nIi/7yYQa8beQU90RuFzzCdI5EZ9+/PFHKypSGxOh0f0chxVbGIVV3gduS9f8w3Uspm4d7w3hFOGc91aIwnkyEF1ogsICAs3gskEuhFQ+P1zTfCW4TfV6PKdTp05W+Ln33nur9XeFyISbbrrJZls88MADdhykHEY+75HZElAdiMC8FinNlOMhm6QyKc1ChLWZImUscJVnYx7gp5BKhtHUqVNt+v5ZZ51l2rVrl7e/XYhIRPWpJqoaSwWImrXSpPPLiSqEEJlCs5a5c+da19crr7yScuW+UaNGdmUcwZXuxtURJ3MhoDoIgnHisJ8IQQSQNGuIAghPdKFlQ4yiCYYTHek6zGfN4wTqTlQNmrDqBFOvWMpX0vPZT/aXc4aUcATUQhbJU9V8QzylURbXIu7ObJJtIZWmNziFWYBJ93kRNFKWA+e7UhdFPuCcfOaZZ6xgMmjQIHuPYQEujAKqg/s574F7JAJxps11hCj0ZopBF1IZ33GS9+nTx74fvorqIRE1z6gmagBx4mhJkm6IxaWPS0QVQoiMAi1qDjZt2tR069Yt5WQNEYXUf4QVVvz5f1WElVwKqF4xsVmzZja9HScOk2A/a935AZ8NoiObm/g7YdUJkwiriHFM2uO7A3u/d4+5JhlVJVnHY+/3bKR+O6GXcwSXKd9HUTBN5FAhwOIroiSCZy7IlpC6cOFCG+ByPaZLKx4/fry54447rIiarmaqENmEe81LL71kFyUod8P9Jlvu7nwLqA6uV94D2RncM8gmwbUelAUzIfxqphhkIZX6/o899pgt0cR1q7q61Uciqm81UaOTGhaexlJrHacEdNQKcf83JaUO1Rq6XIQQIhMQ2Qge6ZaNW4U6hMnAqUqQOWPGDOtq5PmVGSPzIaA6ENz2228/282e2nCkEderV89EGa+w6o4FwuqyZctsKQCvqEnA/dNPP5U9RsDC7yOoMt4SiLuOw95zAAewe13XtRjx1ImjPD9epCXIx03p/V6CaUX4TDi+BIsEdbluGlNdIZXrnfsEizTpAlwCx3POOcc88cQT9roVIt9QEgVH6mmnnWZLhNBoKtsu73wJqPEiENkZiECzZs2yC6CF3GhPFD7eZoqc27k+n/MlpC5atMiMHDnSvPjii9ZBXrt27Zz8naghVSjPlJSUOlG1YhccapRP52d15vLLL//n5y7N34mtQggRYBCZcJT5DU1pmLRdcskl1vWXTsRABCXdlntwpm4dBLlPPvnE7L333jblHlEtHzDZxQGH45J6odTM0sp+eRDjnLiaDERUxFTOV0RRxFGvUIpA+uuvv9qGVgigXoGV752TlWOfTojj9dmyjRN/wwbH96uvvjLz5s2zTZkoZZCvBf6qCqk0vHILJukCwaVLl9razFdeeaU544wzsrbvIjwEZSxEkLn//vutmM/Y0bJlS7Phhhtm9W9wLVOKw4mZ+RgLuQezUMpiBU5vyvOoTmpuYOxiTHULh0GDMTisi5SMhVw71PvFMV7dZopBElIZB8eOHWseeugh89RTT9mxVmQHiag+OVHVWCqIjaWSBFcuzb9GOAcHIUR0IGAkXYfgMQggfg0bNsymeX/++edpXW4Ir7gXM3kugQTvl0knrkfed76h8zL7wP4SuIY1iAhycIN7iwASwTWIEGwh+ofJhUX5BcpScK3lov5pLoRU14SO56VznHOuIJzy3Ntuuy3r+y6CT9DGwhYtWtjzkXsZblHc8dlatHD3R8ZP6gSz5RNcr4jCNB/kb2eyqCWqNhZSLieox5byFexjUPcvEYjSiKcs0JFZxDWUb3IlpDK+T5w40fTs2dPccMMNdlFRZA+JqHnGDeaqiRrEdP7VZYE5aaVAPZSaTkSVE1UIEfBJNqmuCHlMwoLijmO/6HLKhA7RMZ3QSEDIc12Kd7IAmclvqufkC29qOcEj7sigHPtCmDMh+JGKH8Rjyv5xbnPdcW4HPXj0uk/ZXwTUXKfvZ0NIJc1y5syZ1jFLg7N077Fr167WIT569OhAnjcimmMhTZgQdtkfFhgRHqt7z2DcYfzhtfxexCN+Yn84/oyDys6IxljoGjeSGQS5LquUTfcppWFYRDzyyCN9bTqYbSGVewLu8F69etna4YioIrtIRPWrsVTAboCRJq4mKhOAI444wv6fAWsj51CtocmAECK44ERhIstKerZTBasLTj3cmkxad9lll5RjoGs4xHtB4IkXeRBQCShwPfgtoDpI7UcQQvx1Aa0CyOyl43JOBHXeRPCDkMr1F+TPHLf2hx9+6Kv7tCpCKuUeEFBxOFE2Ix2kTY8aNcr+TqpSEqJwCfJY2KBBA1u7lMY13NeqI6RyLfO7pND7LaA6eD+uBjb7xNgY9MWlMBD0sdA1+ENIdeV3wuA+bdy4sS/u01wKqSxmMP4xFvI5UEZE12D2Cd5VGJl0fh36wImoznGaNJ1faw5CiODi6mQFRVj0wqQf8ZTgllRGXACp4D0wKWchy5vGTRBBcEygFrT3yWQVQYggB8GK/QxKKqnIHe48DGKdOq/7dMqUKTbtlkXioAio8UIq7kHqDLv7A2IM4uqmm25q6x6nCwSHDh1q7rrrLjNhwoScd0EXwSXIYyH7xGIA5SmWLFlS5dqlCKiMh0FrmOcaBbKAwefw559/5qQWtQgebsEiqJ+3c58yFnKe4j4NioAaL6R+9NFHtnRDVd4jvQX69u1rvvvuO/Pyyy8HbiGpUJAq5JcTVSsC4amJWtZYSpeLECL4BHXFmUDPuXCY3NHJPdW+utQql8KGIBlUAdXB+2G/cc8S5BJAypVa2AT1eot3nxKYEaAFlXhHKkITnYQRY2hKl+44EyxeccUVZty4cba2nRBBvTYRGRkL58+fb8dFFjV4LOwCqhf2i/1jIYT7kFsYDepnIqpPkD9bzkOESdynLMjRQCqoVNWRioCKw3bgwIFm1qxZdvwM2oJpISFVKM/E5EQNHjXKp/NXoKTUXaKaqEIIUS0QE52Qyv9J0U2FV0iFIAuoiVypBLougAxqGp4oPAimqL1I12wCML9rn1ZWSH3zzTftQgtpyvvvv3/a64bUxXbt2lknqivHJETQz3Vq/H755Zf2/EbsyGRsC4OAGu9KZaxnAZRFRYRULSqKfIL7FHExCLVPcymksigzZMgQWwuc3i7UYBa5Q7P5PFNcmtoX5NWayOEcpiVJnKjucaXzCyFEtSGowmVG6i7pjOnwjpdhEiGdKxUnHS7afKc1EmhTQgE3gl9cf/31pnPnzr79/SiCaM9njjhDEEbNtzAIqA4EFjbKeGTiXEMoPuGEE2wH4tNPPz1v+ylEdaFMBUIHXe2XLl2adnwIk4CayJWKSOxK3aQr6ZNNNBZGE9yns2fPtgIq7tMDDjggFAJqVVL7WTR96qmnzODBg81LL71ka4uL3BKeaKRAUE3UAKfzr0mTzq/GUkIIkRVwlOLCWbRokfntt9+SPs/VQL3yyivN//3f/1lxBVHFbV988YUJOvG1UtnyUT9zwIABti7kIYccUu5x6oEhOjFBZ5/4HM4880zbydUxdepUe3wTfTZ0R+/Tp09G+9CtWzczbNgwW5NT5BaulU8++cR+vggWODKDnL6fCFcDlf1v0aKFFZe8NVLjIbBs1aqVufzyy81ll12W9/0VorrUrl3bphZzrnO/9dYATySgMhayKOIdB8MwFiaqlcr7yYeYqrEwWnB+sYj4xhtv2PML92mQ0/erK6TS2PLZZ581Dz74oBVSDzvssLzvZxSRkudTTdSaIXLTRKexVDInammwWyM8q75CCBF0aHJDEEJQQUAVj7eJFA7UY4891jalohQA4itO1kTNY/i9oLpSec/8n/eby8ZTBA79+vUzHTt2LPd4//79TcuWLW3gzqSb9C9Svwguu3btmvX9IH0OkevRRx/N+muLfwLGzz//3Lz++uu243ezZs1C5z4FGuw4AbVJkyZWbEnUbMrx888/23vCcccdZ2677Tbf9luI6lKnTh17r+RcTySkeh2ojB+c9zzXu4VlLHSuVMZDVzccB26uxFSNhdGBzxqhEfF04cKFZt999w2d+7SyQiqLL6NGjTL33nuvFfRPOukk3/YzakjJyzOqiRpgEbXUcYrT6b777rObrdvjxFXVRBVCiKxCzUNqPSECubqn8QKqqxPHRJjUR4RXBBZ+l4AMxxoNZbp06VIWqADCCwILARtB6rnnnluufACO0PPOO8/+fOuttza9e/e2r8XrOAhYx4wZU26fN9tsM1t70cGk9owzzrCPs09MYhF7Heeff745+eSTTa9evawbgvd744032vdIh2YCSbbrrrvO/oz3Serh448/boMC/s/vepkzZ05K99H7779vnRitW7cuewzhmffGhiMGdwbHkzS3q666ynZ0rSwch3hHFNutt95a9pwTTzzRPPPMM5V+bZEaBHgCRcRTar4hPCIAcB6GDa5F6qCS3uytgepqpMYLqVzHCCCkLCKGqESWCDuMDSyy4SrzCqmJUvgZI6gn7t3CNBby+ozjO+20k+nevbtd/GH85z3jRtdYKCoD5wZiIq7hefPmmd12281mYnBdFMrYkEhI/emnn6yAyiLiTTfdZDp16uT3bkYKKXk+OVEL5aIurMZSa8VSAvZrr73WbjZ4Vzq/EELkdHJYr149K6QSzCUSUL0QWPEznkPABQRCPBcnG6l7BKEERjgRCIgmTJhgfvzxRxvgObjHT5s2zYwdO9ZMnDjRTsA/+OCDSu07DhoCVURdCvk7Jx1OIa8LiLRBAjm+sq9sTH55Lk7Cc845xzz99NOmb9++Ngigu6pzHV1wwQW2WYAXvj/88MNtUJkI9oW6s+yX44UXXrD7S9CaiKrMS0h99LqhRo4caR2QCF+OAw880DYJ8gbTonoBI0IL5xLXDEJi8+bNzVZbbWXCCNcq5ysB73777Veh7nG8kEp35aOPPtqe3yNGjAid41aIZPdfhDyEVM51hEXGuMrWQA3bWPjkk0/asYnrGCH17LPPtuPIQw89pLFQpIVawpxrH374oalfv75dXONrIeosXiGV0j1OQHWahcgvmnnkGZe6F6bmGAVP2nT+0rQaNZYSQoicgACEOLRgwQKzzTbb2Pqn8QLq+PHjbTDlIGDDocK42qBBA5s94Ljzzjtt0Hj33XeXPfbEE09Yd4v7G/wuIgyTbiCgQ8ytDKQB8vcp5u8m7QR1OHEIRI855hj7GO+HlEIC4YYNG1pXzOTJk82FF15oBTHSCAlgEcOozUZqpns93Ds9evQw7777rg3CCP4QXOMdOV5wKPIevfC+CdARq7zBZPv27ct1Od9rr73Kvk90PAjsHTT+YQMCY2pTcswRuRxuP9gn3Eei6pDCTiMl3GmcRwSLYZ5P8n44rxE5EEGSBb5OSEUAOuuss+z1jkihLt+iEIVURDbc5dw7uWfHC6jxYyEuUwQVCONYiKB68cUX2zHixRdftOMhz2csxK3q0FgoHGTxILIzhlDLFnExCuMBQipO29dee83ccsst1k19ww03+L1bkUSqUJ4pLkvnL7wVktA3lipeu1KKK8itwOKKqFlcKqLW1OUihBC5gjRDQFR0nXy9kJ7lrSeGsMLzCNyoAYkI64I3Vupdg514CHBciiQTbwfph0xOKwN/hzRCr8vF1Xfk7zj22GOPcoEwKZNz584tS0fkZzh23O/isCWAJCgg8CLQJPAlcBw3bpz9edu2bZPuF++P348nXqRCiObvE7CTvhnf8AoXT/x743nx4JqiQQf7Ge+IcIGlN+AUlQM3GQEjrhtEEoSFsDswOedwD5FCixicDq6LO+64wy4wINhEIWAW0YN7NAIb3bZxNPI9ZS6813uisdBBOQwvYRoL6aLuxkLGIoQyMk/YWCzSWCj4PKmLj6OXBYejjjoq4edbqOAixy1OmQhKd9x8881+71JkCfcMLISoJmoAcQ7TUrGUAZ/BGUgt2cg5UVUTVQgh8iKk4hRBLPIGfgSKiVL2CLoITlwJAIIj7t3UH+vZs2eF5xO0ZdrJmNeKb3iB+8XB3yFopSNqPN7O6PGCD6/rMlNcYMVjPI+NoJZgwYmpNMWgZh3dV3H3kDrIe00G9fBcYOrgeBLgUTvMOXA4vhzTZIIcglV8jc345xJssj84ewYNGlThNRD+4o+HyAzOLwJGPjM+C861RCUuwgYCEemI1HH1usGSQf1GgmXEY2oKFsIxECIZjAVc7zhSWVRkDOI+7O69ycZC9zMvYRwLGdMZ96iRSkxG8yknplL3kZquGgujBXMi5oVcE5y3lKiIP9cLHddEihR+avdKQPUXKXl5pqRk7QAU5vSrgqNWeSdqBVyav9L5hRAiL0IqTTao90jwlA4nPhKIUVOVr2QRINLg6CEw8m5MvEn/4nfeeeedstf59ddf7STdC8EObiAH++R1kfB3eIxyBPF/B/dQJpAyyD5Tk869H4JFAjH2kb9HzTf2myY6pDRTGy4VpG8ivnmD3tNPP92+XqJgujrQyZgglaYjiRwh1LHk7+JAEunhM0M05NzEQYagQJotxy/s4iHvDUctG02wMhFQaZ5BwIzwgQM17MdAiMo4UnE/xjebqgxhHgsRKRE3EUkRbHGm4sJlv3HiaiwsfBDnOaaTJk2y88HDDjvMivVRE1C5BzD+kcJ/zTXXSEANAFLy8kyJnKiBbyxVATWWEkKIvEIg5ppN4RjJJOB0rlUm3Zdccol1fVA/cfbs2TadkBpSHTp0sG4Rnou7k3S7N954wwY31FuLX+BEvKF+G2nHNOXgdb1OGhpC4XShCzHpfjjsqP925ZVX2nSzTCC4pRYbwSDBl3sNHAcEYoipOHR4LzfeeKMNSr2pl4kg0OQ4EDw7SJmmKzLNq/h7CHS4OihfQxMPyLR5iQMnEMIuDUz4DHBKsPG3HRwXAh/nMhKJ4bykVh6fPTX/EE9wXyICFMKxQwDiWuS64HwgZTgdnJ/NmjWzzbNUA1VEtUYqIiRp5oxpzrWZKdTmDPtYSI1UJ6ZCu3btbB1IFlaaNm2a8jU1FoYPBG8Wz2bNmmU/G1yoLLrxWWcqyBcSXAfUKaYeMOe9aqAGAyl5eaakdCVMNVHD1FiqtC5OjcoNqEIIIaoOzheCKoI+UvrSQeCCO4HADuGR4IsgkQYVOFwowE86ngsO77//fhvQkOqIWIVYE19PjkCLBhw8j67B3bp1K5c6yP+nT59ug7JTTz3V7L777jYgZX/Zh0zBVYM75rLLLrPNNmg4havW60y99NJLbTBBsIojh58jTMWnWELt2rXNKaecUiG1snPnzraeFs0Y+HsEoccff7ydpOPq8TbSyAQcQxzjNm3a2BQ7t3kbfZB+zfsRiaFsA85MPhfOddJGOWcbNWpUMME2jjUEBNxkuKrjawsmgvqIBM7UKqTpTdhrwApRFbj/M74gUOJGo8RLZYRU6ojSvTzsY6HLOEFMRcBlLERMxZ3I/xONg6CxMDwwn0HMRjh9//33rWDK+ci5SEOyqME5jYuaZm133XWXeeCBByrU2RX+URRLdtcRFSBo4YLGFVOZAcHL8Gkvmumz3zbd2l1qGtbbOev7GEWYlL/yyit28KuSS+GLN4wZerIxdfc05oq37WDtdTRt1GsnY1b/bcw1c435v+1NFKj2MRUV0DEN5jHNxn09KBCsEAAgwhRSoX0+I8QlAhJS/ZN18PZCUIVww3FAgMzkd1yjiH322cf06dPHBA1EKNK6v/32WxtQE0zzPgmEeY9cA173ECIUnYE5domaiuSDV1991aaesS9VEcEQC/j8uTaDWgapKtcd74sGEThPcdzgvKbeJwsHmZ6rYeGXX36xzlrEHISJTD5HBAkcbd27d7eum0I7JiK3FOpYyL0CVydlMHByV2ZsqyxhGAu5fyKuORGVUh9s8S5SjYXBvu6YfyOecm4jxjMWkolUWTdwIcH5zLny+OOP20ZqTz/9tBXoRXDQsm6eKS5dPZQTNYTp/GosJYQQeYeggU7BpPYjnDO5Thc4EkgRaLAohjvENZwKI4iluGXoxkoXYtd8i/eEU5EA0jWiQkglsCb4oOs5Nd8IairrqskWHH/SHOUi/Od4EPgvWrTInp+4tho3blwwjtN4CIxJD6YGIIF1JpC6S+MYxBuayAgh1sJiC/dSrivGNVyW3DvCOrZVdyxkYRUY83AxMg7iTOUYMQdgPOTYaCwMHszlKFHBeMhnRh180vURxaNyPieDa5uSGbiyX3rpJVt+49BDD/V7t0QcupL9qomq1PBwNJbCqF1SWshdjaWEEMIXEAy9Qipp/uncGAQrpA0TvNisgo02CqyDIxXUgiQtElfQ8OHDy/3MpfqzMfEmyHSpjwSRiFF+vmfSJKMO7hxcpwSMNIzCRUadUwSRQg0WcU0hnvKeDz74YOuczoSBAwdat5ZcN0IkBgcqYxuuSq4zrq0wLxJmYyx0qf6uwSRiKvddFhadmErtUz+PkcbCteMC9XlxnLLhCqbmLwvjytBbC/Pbt99+2y4iUsMY17UakQUTqUJ5RjVRA4gTR4vXiqXcyOl+Z/9f0xN8SkQVQkQMuvHSqZeABDGOSS8TXpeqhfuDOm2kmSHgcf+k1hqpu17HBavq8ZCy5W0uw+vgMkEQRCSNTwfje2qkIaR+8cUXtqtwunQvt8+k9uN2INhMNVmnjmrQoMkHWzo4Frw/0sCYiLtAkmPAZ8H75msUgm0/4fhzrrnGInTV5prANUUH60JKL04EwgX17Fz900y6KHPM7rjjDvPggw/aeoTUZEwENRep38jrc2/CtXryySeX/RyHGnUHKXmBeEItPWrJeRuxcW/B/eTlnnvuMddff33Z94899pi588477f2JRjHpGrmJwiZI46DLzth1113tWMjfZkEm24uEYR0LOQaujI9zp7KI6hVaNQ7mD8YBylAwFrKYyOfDWMg9nmtEVKwdjmuaew5iKtkqidBY6D9ShfJMzDlRi8LnhilYapZ3onKz4eZjWe1pZqJ0fiFExEAMcgEaQgfOsgULFtiVcUQ7J9a5gJL/MynjcUROL0zYvJ1VvQIoQQ51seg8j5OSdGeCxHgIgHCkIqLOnz/f/g2CpVQQLCEusm+8dmXrpIYN50Jl4zMjkOTzYIIOXkE1jM7cIMJxxmFD/U+CRYQU6pvisjnwwAMLXjh1ECTT4ZqSE6TQZpK6yrGiaRopiwSQe+65Z9Lncv1S/oDu3TSviYd7Bh3EEaYQcxFlaabD/YLPw3H77beXa/DibXTFvee+++6zASj3O7qYf/rpp5U8EqKQCNo4COyLW1REeOWa4zyOch1JL17R1DsOcl/AEenGwfha4qL6MNfgGmEsZExk0YEMDLISlK6fGI4Tjc5oRMbc7c0337TlOpKhsdB/JKLmGTlRA4gTR0sS1ET1PiYnqhAiYsQHcASAH330kZ0kM9miHhsBn4MAktpW1B4jcPFOlgnukrlACXD4Ga/H7zGhTAavQyddVtjpas7fT9cswqW987vsO38PYbXQg6f4QJKUfwJJHFUukHTBpILvysHx4zzifOJ4fvLJJzY4oeYeX6N0PDkWXItc94inydwz8RBkEwByHGk+xb0jFccdd5zdkkHXcC90M6YxBw06aETj4N5FUJ8I3IQ4pHgfPIcAVESbII6D7u8gpH711VdlDacQaJUanXoc5H7lhG+ub/eZOEFVIl/lcHMLxkG2WbNm2Xso5yOlFzLJRogyLLiMGTPGCpY0dBs8eHDaOukaC/1HqlCeKS4ptl+LCjxwC6WIWprO74IB2H37OqZGfAMqIYSIKEyUIZXDjOcQlMQHIqxqM1lEzERkYpXdPYf0RFK+PvzwQxvExLt34uE5uPyYaOII2m677cqtrieD/UZwZTKYSXp/IcGxdqIpx43PyblzXJqqc6jy+RW6wFzVQJFj5jZ3nDinSU8s1AZRqUBIIk2ZY9O8efNyTpZUkIZI+iG/Q8pgto8dAsmgQYOsqIRjx8u9995rywcg9hJsdu3ateyehhOWoJHfwxHEvgkRxHEQuGe7RUWEVO7nuP0KOduiOnBM+FzYEKGdoOodB1X+JvNFRDeHcI9xzA477LCMx4Eow/Fi8ZUa4LhG//Of/5ju3btn/ZzTWJgbJKLmGTlRA4gTR0vT+QmuXTrZXz98bcrWz9QMTAgRcRGJQA0RMpngwWSa+kzxgia14QgQCVBIVySIJMh0neZ5HLcPv18ZAY8USwIhnDjcuxFT001AeW1vej/BJq8RtWDJBZK8fxcQubR/PmuOk3uO26IirDrBNH5zAbhzi/F/F3hH7fwBrnUEH1x3zJsydd+SHtipUyfTo0cPc+2112b12I0fP960a9fOnsfU3ps0aVK5xlZXXnmlrU1LjTdqzt1www32feDUceDYwRXEfSKKwrgI1zjoXVR0QiribFQaTlUHtwjGFl/+Jn4cdAuMUTumzA/ix0IecwuvnGccG0qzOAFapIb5J9kXiJtjx461TdNOOOGErP4NjYW5JRqz4QDWRK2pmqghSedf808qf8QGTSGEiHfQIFRSYykRTKypt4QgyYQtPngk6GQixs9IDaJ+YjxVqU9GULr77rtbZ6lrtJEOl96PW4KAiVp0zl1UHXr37m2L98PQoUPNUUcdVaXXIc35kEMOsfvnndDmCo45TgPS7nAdcEydSMhx4XMntYsN4RnhkONGIOWFz5j6fJWFWpjxDolskMn+uMCZAJBgg/eIwMH75D1yTvM58llwXHhNVxoiqnC8SGem/imfG1smx4Pz5aabbjIXX3yxee6553LiujniiCPMnDlzbFB47LHHmjPOOMO6+xxXX321TZnEYXPJJZfYa/bhhx+2n78XRCgFjSIs46BbVMSVSn1mxhDGxPh7dL4I41jo0v75fLjXs/E58llwz2NMYGzwjoM8zhgSTxjHQnDOXN4b79GN+4yNn332mb2/cl90x4f/c8yiJixXB65LGijiPGWcmjlzZtYFVNBYmFuk5OWZfbZvZHbebFuzwbrRaDIQqsZSlFqIn2wUlwqraiolhIh44EjwQFMnxLZEgSNp9QQb1IaLDwCZyB166KF20k3w+cILL9iV+PgAj8kbhfJJLeK5NCJggukgGHMp+W5j3xC1qA3H36Uci6vdhNPn3//+tw0ueT32n86jdFqGJ5980tZkRABiYsvfdzXscPRUBn63b9++5vLLLzfVBXcCdffYJya6+cY5TAggEVa9AZMTVumSjJPQCY4cc2r44b4isOSzTRRcJoL0P0S56sD+0EXWC+I4YoVz0rg6eN4A0SuY8rnznr2CKQEGr/HKK68oUDTGLFmyxEyZMsWemwRg6eqYOnj+KaecYsVTauYdf/zxOdk/zlfuQdw7cNFwv+BrMug2zPn6zTff5GR/ROFQ3XEwfizkK9dDIqGzqmMh9y4WFbnH0Qzmt99+s+d3urEwmdAZ1bGQ9+0WFxn3OL7JhNVzzjnH3HzzzeUWGDnuiOSZjoH5GAsR8cHVhfWW8/EKpozlrhyFE0xZXKW+Ka+BABiVrJRswzXJNU8GBtcvbtRGjRrl5G9pLMwtugLyTNMG+5pGW+5kNlxPin5gqOmpahHvRvU6UYUQImIw2SYwI9AizRCxsiqB47nnnmtatWplA4vnn3/e3HjjjTaoi38uEzgCJjqT8twuXbqYE0880QYADoQbvneba2LDhJ8acqQmIaTimmjatKndZ2o2Ehwg/uAyobi+Fx5jwknw5/1blYGUrCZNmthC/NWFY16VibULjvIhrPJ/ji3HjmPvHCwEYF6Bko0AmOOKm4Wfc5wRM53Y6gRX75bs/bnN/Z4LBF29Uv4Gf5+/6faBr3zv/jbP5f3EC6YEjATN8SmbZ511lm32EGU4tlw3CKAshCAAZdowhJT//fff3wbrBI2IPPmCcyTeWRMvanEuIC4JkctxMH4sHDhwoO2aPX/+/ArPq85Y6BYVuUdTeoCxECGFe1u6sTAbFOpYmEhYdY28EKicsMo4w+eRbAzkPsg9iXGrsguOqfCOi5yP/A32hb/J32Yf3P44N20iwZSNezvjY7wrWmNh1eAYI47379/fXHPNNdYZihjNfDVfaCzMLhJRhXBOVK/ztOx7iahCiOhCAIO7ENGESbZrwOCCExc48j012bxNGlxQQABIl2JcaAhn9erVs8Ghc8B4YeKOu5FgkMkc9ZwIWBIFmcmCHJxxiKk9e/a0aUgEqi64xEXB69PMJh6CBQQ1l5bMZBPXgNfpQ5DBvieCCTEuEi8cjwsvvNAGJbg4mKR6j23r1q3tPiIq8ftAWtWwYcNssX/+JgIUx4rghXpWvDfek9d1csUVV5gjjzzSBsVffvmlmTt3rjn88MNtgxHEKwLnZLz44ov27/NcUsp4z4AbgcDw0UcftTX7OIYjRoywP2P/nnrqKet24fcI8PnsOH4EZwSWNA3q1auXTSnDyck+kppJ8IBb9fTTT7dppzwflyfvi+BuyJAh9nWc84cJPQ4qzqNHHnnEpqvy+F577WV/j+AQdwV1Nu+55x77fPYHIYH94DV5PucjaeQ77rijdZcOHz68TDDt0KGDrQ9G11r+9jHHHGP3zcGxnDx5ckalIgrZfcpnhXDDZ5WJK5djzmdG06327dvbz4vzparwWXMNueuI+wr/51pCEGBxBpGXBRoaV+Hk43xu27atfT5Ovj59+thgljrKnMM00uD8qs5+icImW+Pgzz//bO+rZD9wTXEf5H6GyJntsdAtKuKG5D7M2MG5z/ibbixMBKngGgsTj4U0Brr77rvt59mtWzf7HnkNREvGkzZt2tgGPuwH4xPjEOI24w0iGmMladaMVS+//LI9z7jXMha64+3GQkR4Xpf7KmI9r7/HHnvY+pf8PseD+prsD8ezc+fO9l7N8zj/OK8Yxy699FJ7/Pbdd1/7Xpxgyj1TY2F24fN6/fXX7XnM54YIjVM7VWO6dGgsDAAxkTG///47I6H9WlVWrVoVGzNmjP0qskO1j+ma1bHYTZus3Zb9Evvrr7/s58z215fvrn38np1jUULnafbRMQ3mMc3GfT0o/P3337FPP/3UfoWSkpLYytWrqrW9PWtmwu37/31vf75k6S+xd999NzZ79uwK24oVK+x+/Pbbb7ELL7zQbu+8805s5MiRsS233DK2ePHitO9pwYIFsfXWW8++BgwZMiS20UYbxTbffPPY7rvvHnv00UeT/u4BBxwQu+KKK2Jz586NLVu2LOFzeL2WLVtWeJxzgmP5559/xtasWWMfKy4ujrVq1SrWvXv3hK/VpEmT2Lhx48q9ds2aNWP9+/e35+hDDz0U23HHHWOrV6+2r7X33nvH+vbta79/++23Y1tssUXshx9+sL/bvn372B133FH2WmeffXasXbt29n189NFH9rlTp04te27t2rVj7733nn2tP/74I7bNNtvEnn/+ebvvo0ePjm233XZl54WXefPmxf71r3/FZsyYYT+vzp07x1q0aGF/9vXXX9vjcP7559vffeutt2KbbLJJbP78+Qn30R23b7/91v6/efPmsUaNGsUWLVoU+9///herU6eOPUYff/yx3cc999wz9sQTT9jzdPLkybGdd97ZHhe3se/fffddbNttt42NHTvWfs/x/eabb+zxHDBggH1Nd56l2590x5DX4nHe65FHHhnr0aNHudfiOH322Wdpr7tCgvPpv//9rz3uX3zxhf2sMuXXX3+NnXrqqfbzmz59elb2Z8qUKWXzM+/G58fxP+WUU+y5v+6668a23nrrWJs2bez9yfH+++/HDjrooNimm24aW3/99e095O677y47h0Rh4L0mgzQOfvLJJ7EOHTrYsXDOnDmxCRMm2PvO999/n9OxkPvupZdeao/JL7/8knDOlGosdPdQh8bC7I+FgwcPtvs8adIkOxZynNhWrlxpt4ULF9p7Ke+B7xkTv/zyS7s/fPa85vLly+35rrEwOPC5DRw40H7+zEn5zLKBxkL/kb1OiBo11zaNYowhfb/Ik6ajdH4hREhZXbzG9H11aE5e+82f5pb9/6rjzjfr1kpeNxo3IO6J8847zzzxxBP2MZyDrj5XMkgzY1WcjqG8BuCa+fjjj60TZPbs2dbdivvjtNNOq/D7uCdwaOD0wOmDCw5HDg4KasFR1B+mTZuWMO0Q9wcOIFwEuDRuvfVW6zjC4ZEInEb8jpftttvOOj4AhwxdTkln5nV5fzg+gLIDvLdXX33Vumm88DdHjRplHUi4a3BR0tkc94tzEfH+cdkAThbetzsmuFxwjOJKwEXohdfl5zgFgfeGC4EOrY5bbrnFvn+ae+CoceUYMqFjx472GAD7iouHfQNqYuKCcCmS4E0b5HPCccS5gyuIn3mbL+Dm4TOhmRid4VORyTHEocHj7nhOnDix3GvgysHpExVwDePi4rPnvIk/t1PxzjvvWOccnzXuGG9H4OrAfqRKe8VJlgo6EXMdiOgQpHGQDdd7/FgY34Aq22Mh7k3ukThZcaq99NJLtklTpmNhPDSH01iY3bGQey3OROdO9Ha453Pi82cs5O9yzPjqwLF72223WeetxsJglb8hQ2bAgAHWhU2mTKJaylVBY6H/SBkSAgG1xjrGFK8yZs0qs86Gm9l0DFinqPQGxc+FEEJUGsRMUvUIGgn0PvnkE5vSTTo2E7lEkAbJRJ50NVIOHaRie4vgE3gxWUwUOCKe0vnYdUSmnhyiHMGbNxWNwIFUKy8Ie2wEGQQzTIRJkWPSmawLOcFtfD1VlzrpXpPvCcoIZEi/8gas7JML/ryQ9snxcCUJgJRRAuhEf4cgOT4Y5vcTdeblMe/rcpxIAeRxvoIL/Nz/vUFlOry1tUj/jP+eFNlkkFrGMaWDu2PMmDHm9ttvt+lngMCd6jUqcwwJah187vGfJX/LCRiFDKmAHBeOK6mtpOxm2lCLlF3EGcQGUhcpq6AGJEL4PxaSyk2aOPdCFqMQ5BAUKbGTbiz0QlNIxkOEW42FGgtFRRCYqWVMaYW33nrLCtTeBWBRGEhEFQJqloqoJavtKtH999+/9vGFpas0SSYKQggRVNapWcu6Y/Lxd1KBO4I6XNTABBwOODkIbhIFjggxBHgEWtQbSyXgINAkW42nFue4ceOsoEM9MZpTEKzhyqlMMX9q3dEIgGYZBDuITHyNF4cIhHFFeonvasz3uI7YZwSqTJp64OJDyCUgdIEz//c6eb3HiJqwNC7BbZQOXuOLL74o+573RiDG464BAbXbXO07/u+afOSyUz2f+2uvvWYdje7vsD+I4AgF1GkjgHfHMt3+ZHIM07kyCeypIVeoIGZwLnAOI0RQEy9RA51kUG8NRxOub+qnHnjggTndXyHCNA4GZSzErco+IL4hjrlme5k0NkL0xU1KzdJU7nKNhdlDY2F44HplvoiL2tXPJdvGK+yLwkHLw0I4ETVhY6nS7+VEFUKEDCbSpBfmeksXQNDNmO6wiJBM8j/99FMzY8YMG2glgjRtHB6knMUX3id4w1EDH3zwgXnooYfKpbXFuzcQdi666CIb8BA4IKYSBOAI4rF03XtxFOAYogwAaYb8PtD0gQ673sATRxHuAy/8jUGDBlnnBw0FeD+ISziH+NtMtHECsXFMCGbiIUAi6CblkuOIY4QUUNKlE4HjgQYcOFVcp2COW6L0O16X57399tt2H/gbBPXe9FIchbxXXLgEo87phJOGhhvZhs+VbJDRo0eXc7sQOLKPzsFDYwZ3LqTbn8oew3imT59um5VUpxFEkOGaeOONN+x1x+dP45dMBVSugaFDh9rUVIJGzj0JqCIoBGUcDNJYiLuQhUQeYywjYyOdkOodC5O5Zh0aC7ODxsLwwDmFixt3N+UuKNnBYqIE1MJFIqoQXpG0eG23TQYftpI1K8uLrEIIISoFk//nnnuuzBF63HHHmauvvtocddRRZbXHeAzoJErnUmql4ZhwnWkJqmDSpElWrMFJw6T/uuuuSzr5pysxHUhx29CBlr+NIwcx9Oabb7aPk6qHAy8ZBGA4ai677LKyDrkEfvx9ghjS2ggK4aSTTrL77Q3Q6GRL2iMBKwEkNdRc3TPqteEwwS2DC+Suu+5KKur269fPBoGkEBIoUwuU95LsePPaDz/8sA2mcM7wtxOBA4jjTZ0+BDDqpLmuwy7gatKkiU39I6WU19xtt93sz+j2ijuGVEmOT7YgOMUtTHDN8SYIwf3E/8kSwVnEZ4tLiBRXR7r9qcwxjIdSDtQ0KzS4BjhmBOscS9J5K+PSRoShTAZ1ATlvEFMzqakoRBQJ0liI0/zQQw+1NVGpYcrCImNZMjE1fixkczU949FYmB00FgYfzlPOlSFDhpjOnTvbhRFEdkRqCc2FTRHdpfzeibDAah03ZAYF50apLAxQNLegiLS3aLSoOlk5pvftbswfi425bLpZtmmDsoLof3041mz0/L+N2WYf+7OooPM0++iYBvOYZuO+HhRwSJCuTooWzQ9Eapj+4MBBSCXFkeAtWY23ZL9PwMnG73HM+/TpY8XVTJtNBBkWEgnMvPVj/QhQuEa5Nv2qrYlwQEotIkQit1kYrzv2mcAPtxeBNAJCZVL3OfeHDx9ua54iouKEogmLEEEgjNekn7CQSHo9YhyCLUInbtXq3HNxrGoszB4aC4MHcQOLBU8++aRdFGBBguZvivGigSRyIcql8/9TYH3t96UDZg1dKkIIUUgQBODiwK3BxB8HAZP/TLuQ8/sECtTRRkjF5YNLJArBQ5Ro0KBBwXSxZeGJun/UZsSZRYdfOi1XBhYdSAt+//33rZCKiCqECC8sAtJciIUQBEPqgSKmItgxvlWl5qdr0CsKh0IaC6sraCMoU/t0wIABtkY+wnLjxo393jWRR6QMCQGuILwTTR0lpd8rnV8IIQoSRM+GDRtaVypNAQgecaVmmoqFK4RJNE4+nBik+BN48rrqTC6CgOuAzfmNMEKtv8qk7bvAka7i1157ra01SJOZyr6GECK4cG8gRR9XKjVM6UqPsIorVanJQhjz008/2VIJzzzzjK1VSxkN3NZyn0YP3RGFgJrrJnailrjGUrpUhBCi0F2plHYgxRmBiPpjiESZunAQTAk2nZhK6h3/ZwujmEr9OD/TF0X1QfhEEPnss89skLf//vtbB2plnWXvvfeeufzyy20AKfepENFwpTIWsiiImMrYGNWFQY2FgiZcc+fOtXVqqf1NbVyakNGEUUQTKUNCxDWWKodEVCGEiAw4SumgTDMHnDh0vGWyjDhamSCUZh8EXYUgpopwOk8RQEjdRzBt1KiRbdpSWfGUGol0GkY4xYFKzTeuESFE4btSuW+QofG///3PlqthUZFyN1VN8RcijGMp5W+mTJlix0HS+Hv27Gnat2+v+VzEkTIkRLmaqPEianH5dH8hhBAFDcEhwSLOG4LHefPmlTWeqkxKI88l4PSKqQSfiKmVaWAlRGVqnlLTkKCP84yGUZy3lQ32cLA+/vjjVjQ9+OCDrQNn5513ztl+CyGCB/eNrbfe2jpRWVRcuHChUvxF5FL3n332WfPiiy+aCy64wIwfP15NFIVFdz8hvCKqc55WaCylWidCCBElEDpJ6SdorGqKv1dMxdHgaqaSWo3IpSBUZAMamyGcUvcUBxkphnXq1KmSW2z27Nk2dR8X9pAhQ2zqvlxnQkQXFv9YRGEhUCn+otDh/KbR6NixY82wYcNseYu33nrL7Lvvvn7vmggQmr0LUa4m6mob1F522WX221pFzokqEVUIIaJIfIo/7gTE1Mp2NXdp/oipiF6kRzLeODFVQpWoLJxDX331lRU2EDUOOugg+7Uq5xIO1h49epjnn39eqftCiLQp/oiquPIYC1WuRoSdv//+28yfP9+8/vrrZtSoUXZR8r777jPnnXeezm1RAYmoQnjT9YtX2YnAI488svb7mY+u/VpDqZdCCBFVvCn+BJDUxcJdiphamXqpTkzld3DwIKbSsIDXZ+xRrTmRjlgsZoV8xNMlS5bYdNtmzZqZzTbbrEqvh+P0zjvvNIMGDTJnnHGGdeDQSEUIIVKl+COksrDIuMj9hzGRcUxjmAgTq1atsnO66dOn20XEWbNmmS5dutjFxKqOq6LwkawuRLnGUnHdF5XOL4QQwiOAUmNyr732si496qUiZiGGQu/evc1dd92V0WtRY2uXXXaxDX9+//13O5HnK6IqbtUgsccee5iZM2dW+vdwSOYiCKnq/njBWYyrihILYYBzjEZRkydPNh9++KF1gB199NGmSZMmVTrGpCzedtttZqeddrLn8LvvvmtTFyWgCiHSwYIfac7cixFNudd///339r7KvapXr14Zj4UIV4yDiLAsEAUZjYWFA/MsxNNnnnnG3HDDDebqq682u+22mx1nOXcloIpUSEQVolw6/yrr8sCZwRZzjaaUzi+EEFVmzpw55tBDD7XpgIg2gwcPTvg8gi+K99evX98+l6Y23gBh6NChZTVG3UZwkgwaYfz73/82W221lX09JsikKRM0uNc76qijKvweQeF3332X9HWpabrddtuZPffc0z73448/tpPxvn372nqSmdC9e3dbc5KUbOpZUm+L98MYhMDFhrDK9/nk1luWHmHgAAA0qElEQVRvNZ06dSr3GPVgmzZtWunX4nP87bffqrU/9957r7nwwguzsj9eECGPOeYY89hjj5mgwmeP2/T99983EydOtC7ohg0b2v3mK27mysI59fDDD9sah7zmq6++asaNG2cXBoQQuaXQxkLuQdxLeD0a2/F3KA3CWMh9O5PxyzsW4oRncTEIaCwsTGicyDk6evRoW8LmkksusdlBNFDs37+/dVoLkQ6JqEJ40/lLVlsXEJMMtuXLlq99vIYqXwghRFU599xzTatWrWwQgeuka9eu1sUZD53sccK9+eab9rmkVNHYhuDK0aJFC/u92whOEoGjheCC9ML33nvP1m+bMmWKnSz/97//zcr74rV33HFH6+JAjCL4W7ZsmQ0m00HAy+95ISimbipBLkItzhDnTuU1EwWkPEZQICrPWWedlVTE8BMEdK4ParPhEOU847xHfKGERFXqsyGePv7441Z8HThwoP0/1xmlAIQQ+aFQx0LGLYRUBNWXX37Z1hGnxiR/C0E4lZiaaCysChoLC28szCZcUyxYkwVEFgYC+dKlS82MGTOsGzUo4r0IBxJRhSjnRI1L5y9xTlSJqEKIcEFAsWzl3znfMnGasOrPJB3xZ7/99jO77767+eyzzxIGYjgDCAZ5brt27WzaIMX+K8sDDzxgHQUEBi64JBWf12/evHlGr0F6otfpQwp/onRnHsdhhJsDERVHAxvfb7HFFmbLLbc0F110UVnaP69FKhlB5wEHHGCOO+44m1Lt/g7vneNKihnBZYMGDWx6GQEpgWn79u3NFVdcYY488kgbCBMYxENggLuVlDTerzdQx12EG5HjUrduXXP//ffbx6dOnWruvvtum9bNfrBf4IJ5OP/8882VV15pjjjiCPscAnsyN04//XQr/vL4L7/8Uva5IwwDLirvsXTCIIwfP946IWlQwnulqYPbHz7H4cOHJ90fhGbcv7wP3s/tt99eFkjjJDrnnHNM27Zt7WvTeIlmEQ5S4Undo7af3/A++BynTZtm3zdCKqmaCC44nivbyMyBuPLggw9a1xspthyTjz76yH5uql0oCp0gjYNRGAsZAxj7GJu493C/5f3hcq3KWAiMeYx37DOLSDgyHYxHGgsLayzMNiwgct08++yz5j//+Y/p0KGD/TwQU1977TWz//77+72LIoQUhDLEhXDHHXeYN954w/zwww/2JkvKwk033WQHHAerbdxcZs+ebW/inTt3tikEQvxTE3VV+cdLSuvSyYkqhAgZy1etMDtfdUTO/86XfaeYjdZL3cWb8XbEiBHm5ptvNh988IF1npCemA5S5HEKeB0CFP2nqUWdOnVsAEMqViJw2rRp06ZaQhHzCef8IRg5/vjjTePGjRM+l8Dx1FNPtQ4cnKOkJRLoPPTQQ3YuQmD16KOPWkcRr8l+MbEnKCRAwhVBEOPo1q2bTbVcsGCBFU+pf7nPPvvYr7hSR44cadOwCQDinYkEbrx33IYEdn369LHfEzy6QI5gjTIEBMcEewT0LVu2NDfeeKNN30zlSiGwwyVJoHbIIYdYNyPPf/rpp80JJ5xg3zNODy84odyx5Pjw/Zlnnmm/J6jDlUXQOGHCBNvg6LDDDrOBJXXKCEx5L4lg/kdKI+8N4ZFgnf0iwAVS9nBGcbxIjyWYJDB2NW45t5gf+pHCx+fIvJXjzXvkvCYo5rzDiVwduG4QB/gsEFD5evLJJ6vLsIgUQRoHozIWMq6cdtppdgGQsYuxkHGoX79+9neJ0UmbxoVb1bGQhSXGGsBFiBjG/sSL2RoLwzEW5gLEd0R1ROtXXnnFHk8WtidNmpTRNSdEKgpiJsUKFzdl0pO4ebDiPmDAAHvzc3DT5cKhCDa1pVhp4uZBN1IhTC3nRF2d2ImqxlJCCFFlEBNxUFA/jUCjZ8+eaSfqTIAJtnBj0v0XcJEQ7BBIUEMNp8ULL7yQ8PcJnnBkOAieXAdhupE7cP7xuHdLBAuzOGZwpySClEvnnMERg7Pj0ksvte+ZAPCUU06xAWImEAjy/nAO8poEsLzWmDFjrEMJUZbX23vvve1xwoHCV9LV+F0CBn6GqIsYd80119hgjUVkB8cVtwzp3R07drQujUzBzYJLkoCPYBoXEYGe2y+cjqkgSCZQ5T25z5XXQODj9XDikHaaCQTQt9xyi63rRsDIeyVIdBAMExgTMOPmit833gMlE/IFnwNOq7ffftuWgEAswKGFMEC6PvPU6gioixcvtseAY0G3YT5XSgJwLkhAFcJfojQWIo6yv4iEjDHcg3Ggci/C+MT7Spd+n2wsRGh0INiymMjrx987NRYGdyzMFWg+ZAZR4xUBnoULzh0+87Fjx0pAFVmhIOx1xx57rN0crLizooXjg5suPPXUU9bO/cQTT9gbGzc8LjCs8aQViIjjnKYVnKhqLCWECCcbrru+dcfk4++kAvdM69at7fhLUMFiJ2M2wQHBQzKHHsEJzghSDh3UH3WQjob7hpQsgqh4Nt98c+vyc+AAZcOtg9joIGjBSeIl3rFDcEqAwiQcx0YiCBa99epwgpD9QrDIpJ6/iTOH+QnOoVQQGBNgeuvEEWwisjkQ2wgMeJzX5pg5Vw8ZOrh6CED5noCMRlg4bRx87/1/umDPCzXDHaR1xn/vPQ7x9O7d2zqKXAoi8P/rrrvOOmh4P5REcGmQ6eA9eWsBcly879N7rBG34/eNz8kJE7mAzwBRgXORjb+HewxRA+cUong2YE6L85T5LkLN5MmT7TUiRJQJyjgIGgvLj4XffvutFS/d+0xUEiGTsZCxLtPxQWOhf2NhLuFY0XiRRUnOM8Y/zlEct+hB3utFiGxQECJqIlhJYdBwYOU+/PDDy6X3U2eKFUAcIqzaxMNqmavZAtz43Y0+k6YRiXC/V9XfF7k5pjVMTcNUoHj1ynKvU1z6/+JYkSmJ0Gem8zT76JgG85gW8udB8JNJemGuIZ0KoYh0dsAVggMH10uiwJHJMM032H9SzVKlILraoYnAcUG6O86M6kCgi0uEVDAcg8kgECbl0sEiLQEg4ha/R7YMKX4EjXQwdg0/ENPi3yPPp04ajkXvXMaL+x2OAXMbNo4FASrOJtIbmQvhOmEjYPU6nvieJiDu/+5nuayTSXDD4vY777xTrrM8nzduINIOeR84l9znmm5/cCaREuveC//nsUzATcX5me3O9AT9S5YssRuBHX+HAJYUTYJs71y0OnD/QjhBPP3www+tW41sK4wCQojgjIOgsfCfsZDFHsYAJ/Lxc8a6+DlZZcbCRDAW4EZ1cIwY77xjhMbC3I2FuYYsHN4n5yZp+sx7EIcxyD333HPlHNhCZJOCFFFZhWBC6VyowApc/CqEW5HhZ4lE1HvuuadCHROYOHGiXcGpDlzoIrtU55ju/u0isyv1db9cYN7787Wyx79d+LUhFFnw5ddmwYp/BuGooPM0++iYBuuYktYlcourEUoalatFRqOHZPXbLr74YtvcgMmwq1nmIHgjbY+65tSTo96Yd6z3Qr010iaZTFN/DoeJcypkOrFGhMQxxN9I5hRy4Chi0s7fda4O5go4OxBNqQHHXIMAzc0/WJylBhmZMgSRTP5dYymaR5GOR4kihFccrLzmgQcemHQfCLJIWaT2JWls1MIjTZzXIBDls8DZAjTnoNkGcyCcURwrQOTDDeNcrNmCQIfGFgTP8V2knTuTfcfphBDoDaJxlCTbH2rJUQuOerEcPwJ2nDyZwN9hbphpoJkM9o1zlvMF4ZRjTCos+875ynvLZio9x5K6e2y4nXB5IZIkmssKIYKBxsLyYyHjwLbbbls2FtLoiHspi4uMhzyH912VsdCBK590bo45LmCOE/dMyu04MFTxnjjWGgurNxbmA94/4ywZN2+99ZYtW0McQJ1cylqwSMF8R4jIiqjXX3+9vbGlggGIGibeWlDcvEl9uPDCC6v191kJooizgxs8Aw+1VV36QWVhhY0LnaCmuk0DRPaOaY0pHxnzw3izQ/16pk7L1nYlEHaqv4ExHxuza8NGZpfDjjdRQedp9tExDeYxdRkGIncQOBFQMZnHKYebhLGVpgdAXTUCSepDEmAhDOHM8Dpd+Bl1xvi8zzvvPCtSEXzxmtT2SgTBIVko1EdHLESo5HcIXunmmwm4+3DUXHbZZXZzKXK4HuI56aSTrHBJsMl7vuqqq2xQQyDIPMVbE9UJaqRocjwICHh/LqAkfY+AkX3HGUJghYvRW78uFRw76qeSsomjBccTQSTCnkvfpJsxQQcZNwSZpHLifCIAIYhkv2mSQdONbDlvCI45/g7eM58tC9+ko1KPjkYa3o7RHFfq3yXbH0QBzieOMfcBaswRdGcC9eIqO1ckgMO14zZEEec8Jfjl8+IzzfZ9ns8N4QQXF6IK9fJoMEJWlWqdChF8NBZWHAtdSQDqgPJc6nLy/hjvuNciODpTU3XHQo4XYyHfe+/P3EvdWIjw6z4PjYXBgs+eRl+chywQs/H/s88+2/7fK4wLkWuKYsm8/wGAVah0dUCof+rSokgJoHsdBYOHDh1ablLJjZNgmRungwuOIIIaNZms3vP73OAZFKojopJWwA1bQkp2yMoxnXKfMZPvNKZJB2NO7vvP489fbMyckca0usOYw64yUUHnafbRMQ3mMc3GfT1IaU04OXATeNPDRP7ApUOA6m1smSkIcsxHXA04BE9EOc7LbItkuFgITnHFIs6x8feZEvK3CGy9m18iHaIu12gujgF1SqmrhwMn2fUSL5i6DTguuKQ4dqSAMh/N9nXH38d5RDdvmp24wJgtVR1AIaKMxsJwj4XM7ViUYizkfouwShkEsjSI+bkPZms8YCzk/h30+6nfY6Ff1x2viUEO1ykLDJQ/wHnKAjRObRy9Ya3jKsJNoJ2opCiwZQIXGDVfSG2gi1/8DYaaInQT5Mbsgm1W8Vj5UvqTKGsclbSxVKAvFSGEEAEA901VQZRz8x5EVARVhE6CSBxLbK7jcTbgdVy9VG+g5oRCxEGcOU5YdeKq9/+8Ri7rxuUSRGrnouJ9u4337v0/cIx4v6QIumPg3jdBXraPAWm2pHqykXaLIwqnEK6kZM1chBCiEMZC4nQW+HDQkpbOWEjZGe59jIFsiKo8jy2sY1AQx8IgwNyD0gqI26Trv/vuu9a5zPiL65QsZRzFQvhJQShDCKg4UEkrYOWLlSuHq/XCRUcqAPZ4Uh4+/vhj07dvX5suJ0SZiFqytjukq5O4YfEaY4fmGgVxqQghhAgB1Gwj3ZL6ZK47L00fEO9wpyKo8pxs4wRSr7PbK6zyfxajnWsVvMKqExfjv/oJ+8nGvsd/de/J1ZjzCsQcg3jBNJeQ3kmqL65TUmep5Ud6L3X8cvFZCyFEkOG+iwuVjXJ6ODEZCxHXcDo6QZX/c79msUulTcIJC7YI5Swa0oCM8hMIpwjolGhkbKRBuBYRRVAoCGUIRymr9mzxdnw3ycfqTUMoiu/jVqVGSo8ePWyRbSH+caKutgIqgzL8Nbit2Yj/1FD6tRBCiPwHkS5Q9AaRn376qU1rxEHCVlmHamUqOSUSVt1rxDs3EVi9QqV7D15B1eteTfZ9/H66v+F9zImjib6PF04T7QdfcbZ4BeB8wn599tln5qWXXrJNoWbNmmU7dXfo0MGWKUnWiVoIIaIG92c33uFUJAWdsRDjFItMOFPdVyeoZiK4BbiqYUHDcafGKcIpZjjK1tBkE9cpqfssHmKM46tKcoggUhAiKk0T2NKB9Zt6GkJUoKh0oC1Zm7pXRsyl80tEFUIIEYwgElERQZVavjhUgVpp/IxF43y4NRAiXc3UyjhAvcKn9zHv78TjskPc300lwHrF2iA5YoHgn27PTjilSQZNTGj+MWrUKJvCKoQQIjkIpJih2Fi4YxxEVEWM42deQdXVUHXlZ4R/uLrvCKfUTqW+6dy5c63rlLkAguldd91lmyWGvUeBKHwKQkQVotrUKA0CY3Eiasma8j8XQoiAI2dF4UNASD13Nj5vUv4JIqkjRnBC+qPrdEww6Ufw6BUyq9tMg/cR1DTNdNcbQilpiRMmTLAOUwL6E0880fTu3dsKqBtuuGHe9lWIKKGxsPDhfuoEVcYL3I2MhThUEevI0mAMZMPR6OqAS1TNPi5bxCua/vrrr2VNwhBMyaJxjtP69eubNm3a2Pq5ZGF467MLEXR0tgqRyola7ERUOVGFEMHGNVhgskpzIgUI0XTm0BEZ4RHHBwIe4iNCHa4cNgLJsJwbBGW8H5o3BVFERaTheuN4unIHuKEQTd321Vdf2TJSRx99tHn11VfNAQccEMj3IkShoLEwulCipU6dOmarrbayDRoRVRkPqTnNOMnP2RgHcak6QTXoomqQx0LGQfaNY4xwykIuwqkTTT///HPzwQcf2CZhiKUsIj722GO2ubcQYUUiqhCZOFGVzi+ECDgEAdQFRzijppQQuG8IbnCD4FKleQOBIgEkG8FkkLsbE5wRCPvlps0E0kkJEnGWekVTGp7SwLRZs2ZKTRQij2gsFF4QHRnvGP9YXOQrG+eJE1IZB9nimyQGZdwJ2ljoLdfDRqkaRFTGwI8++siKpgjYiKaMhf/5z3/MgQceaOccQhQCElGFgKIaaZyoulSEEMGH1LUGDRpYYUeIeDgvPv74Y5tKRyMHusDzGI6QPfbYo2zbZZddbHDpN+zb9OnTbVfe+MZW+YaAka7Qn3zySdnGsVy4cKE9fgSKffr0saIppRSEEP6hsVCkghI4jH9vvfWWHQ9xTDLGMPYhwONmJd18p512sotglJRx5XH8GIv8HAtZiKUuOU5SV4udZt4sUrA4y7iIcMrPEEqPOOIIc9NNN0k0FQWNlCEhvE7UuHoupsQ1ltKlIoQIB6ma/YhogxunadOmdgMcJLgo33//fbs9/vjj1kGCS4dmnDgqGzdubEXCXXfd1WyzzTZ5TSXkPMbhwn7nM3DErbRgwQK7IZRybDguBN577bWX2W+//Uzz5s3N1Vdfbb9X92AhgofGQpEM7tnUpGZzQqH3Xj9+/Hhbu5NxZ/fdd7diKo3/6tata3bYYQc7FiKqUiIHwZ6Nsjm5Ot9yPRby2oxvbIilbDhJEUhxc+MypVQNmRafffaZ3Z99993XzhHOPvtsm4nBPEHXm4gKUoaE8DpRYyV2ADj99NPttzXN4rWPy4kqhBCiwEAQJfBhIxBywuqXX35ZJqyOGTPGCq0EUrhwcHchqHq3nXfe2dSuXTtwtdpSuUoJEHGROrGUbf78+fbrL7/8Yp1IvNdGjRqZM88809x3331mzz33lLNGCCEKDDIvWBxj87o/yThwYyHOVcYH3JebbbaZFVO33XZbW3+V2rtOYN18883LSuZ4N1eLla/5SslnPGdRlFqqbPH/x2FK/VLGQhpxUUf4xx9/LCuFwc9x5DIWMv6dcsopVjhl3JdgKqKMlCEh4mqiMsCNGjVq7fcPHVT6c9VEFUIIUfgghBIwsbVr167scYIuXChe0XHGjBn2K8EX7hiCSNw6bDh13P/ZECVdWiSuHRw82RJdEUXZP4RR56AhGCTYddv3339f7v8Eh+yLVwym+RNfee9KyRdCiOjCmLbPPvvYrWPHjmWPM76wsOgdC6dMmWK/kurOYiPCKo0eWVxkLGFjvOEr46Bzrzo3K3VZvZtrdOU2xFCYN2+eHTddTVIaOeEidRvCrxsD+Yqz9LfffitrsMX/2UeyLXCXMk7iwkUEduMgpWm8C6S8HyFEeSSiCgFFLp2/OEk6v0RUIYQQ0YUFRlyZbPEgSHoFSydUUjcNoZXvcbcQyCF2OggenajqvroUXNfYg6ZY/fr1K2tiQdDo6rO5QJGNx4EAlNcigPWKuE2aNCn3PSIvAW0QmnQIIYQIB4wv8a5VYIxCqEy2eMd4yPc4PxmzEC+BsY6x0LvhVnVCqhsLaSzF414BlccQSt2YyFd+BjyXfUXQdeMeNV/jx0G+8jeFEJkjEVWIOCdq4sZSSlkQQgghEkEtOBwrbOnALeOtueZ1jzox1HX8dZtXWGXj73mFV9f0g/8r3V4IIUS+Qeh0rtOGDRumfT4iavz458ZExFDvGMi46ARVtzEmxi9Euv+z+d2MUYhCRiKqEN6aqCXFdkWPwQf+unM3Y9fm5EQVQgghqg1OUerJsQkhhBBRrcNKuj+bECJchKMDgBB5c6KurTlTRolzokpEFUIIIYQQQgghhIgqElGFSFUTtbi0JmoNmbaFEEIIIYQQQgghoopEVCEycaLWlIgqhBBCCCGEEEIIEVUkogrhrYka31iqLJ1fIqoQQgghhBBCCCFEVJGIKkTKdH7VRBVCCCGEEEIIIYSIOhJRhSiXzh/vRC2tiVpTIqoQQgghhBBCCCFEVFGOshBQo3Q9oaTE1KxZ0xx//PHGxGKmZtEMbKpK5xdCCCGEEEIIIYSIMFKGhIhL519//fXNyy+/bMyalcbcuuXax9VYSgghhBBCCCGEECKyKJ1fiGTp/K6plP250vmFEEIIIYQQQgghoopEVCGSNZYqLq2HCkrnF0IIIYQQQgghhIgsElGFgKLSSyFWYpYtW2Y22mgjs9EW25plq2JrH5eIKoQQQgghhBBCCBFZpAwJkSCdf/ny5aU/2HitwOoaTwkhhBBCCCGEEEKIyCFlSIhy6fwlFX9WU/VQhRBCiKoyffp0c+KJJ5ptttnGFBUVmTFjxpT7+V9//WWuuOIKU69ePbPBBhuYRo0amQEDBpR7zooVK8zll19uateubTbeeGNz2mmnmR9//LHcc1566SWz6667mt12282MHz8+L+9NCCGEyASNhUIUBhJRhQDnNPU2lir7mURUIYQQoqpQJqdx48bmkUceSfjzq6++2kyYMMGMGDHCzJs3z3Tp0sUGkgSCjq5du5px48aZUaNGmWnTppnvv//enHrqqWU/X7lypQ0s+/fvb/r162cuvfRSs2rVqry8PyGEECIdGguFKAyUzi9EssZSDtVDFUIIIarMcccdZ7dkvP3226Z9+/amRYsW9vuLLrrIDBw40Lz77rumTZs25vfffzePP/64efrpp82RRx5pnzNkyBCz++67m1mzZpmDDz7YBo41a9Y0++yzj/15rVq17GPrrrtunt6lEEIIkRyNhUIUBnKiCpGgJmo5akpEFUIIIXLFIYccYp02ixcvNrFYzEyZMsUsWLDAHHPMMfbn77//vlm9erU56qijyn6nYcOGpn79+mbmzJn2+3/961+mQ4cOZuutt7apkrhvNtlkE9/ekxBCCFEZNBYKEQ6kDgnhFVETOlGVzi+EEELkiocfftg6bqgDh2umRo0a5rHHHjOHH364/fkPP/xgXTSbbbZZud+rU6eO/ZnjlltusemP/L6CRiGEEGFCY6EQ4UAiqhDedP5YiR1wmjdvbszKP02NogVK5xdCCCFyHDiSiogDZ/vtt7fNN6jphovG67jJhE033TRn+ymEEELkCo2FQoQDqUNCQJFrLFViNlh/fTN16lRjFr1jzKCjlc4vhBBC5Ii///7b3HjjjWb06NGmdevW9rG9997bzJkzx/Tq1csGjnXr1rWNMX777bdyDhw6EvMzIYQQIsxoLBQiPKgmqhBQw3MpxErWfi1es/ZrTaXzCyGEELmA+m5sZIF4oTFGScna8Xj//fc366yzjpk8eXLZz+fPn28WLVpkmjZtmvd9FkIIIbKJxkIhwoMsdkJ40/ldXVRqpJasXvu90vmFEEKIKvPXX3+ZL774ouz7r7/+2rprNt98c9sQgxI61157rdlggw1sCuO0adPM8OHDzQMPPFCWltixY0dz9dVX29+hcUbnzp1t0Eg3YiGEECLoaCwUojCQOiSEt7GUMWbZX3+YHRrsbkzxavNNp5jZSI2lhBBCiCrz3nvvmSOOOKLsewJAaN++vRk6dKh55plnzA033GDOOeccs3TpUhs83nXXXeaSSy4p+50HH3zQOnROO+00s3LlStOqVSvTv39/X96PEEIIUVk0FgpRGEhEFSKBE3XJkiWl32xcPtVfCCGEEJWiRYsWJhaLJf05tdyGDBmS8jXWX39988gjj9hNCCGECBsaC4UoDKQOCRHnRDWx4uQCqxBCCCGEEEIIIYSIHBJRhYgXSl1jqUQCqxBCCCGEEEIIIYSIHBJRhYAiz6VQ2gEx4c+EEEIIIYQQQgghROSQOiQEeOueKp1fCCGEEEIIIYQQQniQiCpEfNq+nKhCCCGEEEIIIYQQwkMt7zdCRBrrOC02NUyJadKkiTHLl5oaRT9JRBVCCCGEEEIIIYSIOFKHhIhzom6w/rpm9uzZZvZTd5kN1ikqn+ovhBBCCCGEEEIIISKH1CEh4muflhSX/yonqhBCCCGEEEIIIUSkkTokRHxNVNdYKhZb+1UiqhBCCCGEEEIIIUSkUU1UIRxFRfbL8mXLTaMmOxiz6i/z6bkxs6ETV4UQQgghhBBCCCFEJJGIKkRcOn+seI1ZuHDh2v/HNpYTVQghhBBCCCGEECLiSB0SwlHmOC1N54+vlSqEEEIIIYQQQgghIolEVCEqNJYqiXtcl4kQQgghhBBCCCFElJE6JESyxlIOiahCCCGEEEIIIYQQkUbqkBAVnKhxImoNXSZCCCGEEEIIIYQQUUbqkBDxYmlM6fxCCCGEEEIIIYQQ4h9qef4vRLQpTecvisVMo0aNjFm+1BQV/aXGUkIIIYQQQgghhBARRxY7IeIcpxuuv4755JNPzCfDupsN1ymSE1UIIYQQQgghhBAi4kgdEiJZTVSX1i8RVQghhBBCCCGEECLSSB0SIi6d38SKy4up7nEhhBBCCCGEEEIIEUlUE1WIOCfq8mXLzAF77GHMsiVm9pkxs6GcqEIIIYQQQgghhBCRRiKqEI4aa8XSWEmx+fTTT9f+P7Zx2eNCCCGEEEIIIYQQIppIHRKiQk3UkrjHdZkIIYQQQgghhBBCRBmpQ0Ikq4nqkIgqhBBCCCGEEEIIEWmkDgkRL5bG4p2oaiwlhBBCCCGEEEIIEWUkogpRIZ1fTlQhhBBCCCGEEEII8Q9Sh4RIl87vHhdCCCGEEEIIIYQQkaSW3zsgRGAodZwWxUrM9ttvb8zfv5qiohI5UYUQQgghhBBCCCEijtQhIeIcpxuuV8t888035psnLjYbrlMkEVUIIYQQQgghhBAi4kgdEqJCOn9J+dqoElGFEEIIIYQQQgghIo3UISGSNZZyYqpEVCGEEEIIIYQQQohIo5qoQsQ5Uf/+e4U5/IADjPltkZl+asxsoMZSQgghhBBCCCGEEJFGIqoQjlLHaUnJGvPee++t/X9sYzlRhRBCCCGEEEIIISKO1CEhkqXzlz2uy0QIIYQQQgghhBAiykgdEsJRo/RyiMWJqErnF0IIIYQQQgghhIg0ElGFqOBELYl7XJeJEEIIIYQQQgghRJSROiREvOM03okqEVUIIYQQQgghhBAi0kgdEsKhmqhCCCGEEEIIIYQQIgG1Ej0oRLSdqDGzxRZbGLPyz7XfS0QVQgghhBBCCCGEiDRSh4RwlIqlG61X0/z888/m54FtzUbrFqmxlBBCCCGEEEIIIUTEkYgqhKNGjfI1UWOlDabkRBVCCCGEEEIIIYSINFKHhEhWE9V9dY8LIYQQQgghhBBCiEiimqhCOErT9v9esdIc16KFMT9+al5tEzMbyIkqhBBCCCGEEEIIEWkkogrhKHWclhSvMdOmTVv7/xM3Vjq/EEIIIYQQQgghRMSROiSEwzWQcjVRyx7XZSKEEEIIIYQQQggRZaQOCZGsJmrZ47pMhBBCCCGEEEIIIaKM1CEh4h2nsZLyj6uxlBBCCCGEEEIIIUSkkYgqRLzjNF5EVTq/EEIIIYQQQgghRKSROiREhXT+eCeqLhMhhBBCCCGEEEKIKFPL7x0QInCNpUqKzYYbbmjMmhVrv1c6vxBCCCGEEEIIIUSkkcVOCEepWLrRejXMsmXLzLKHjjAbrVskJ6oQQgghhBBCCCFExJE6JEQCJ6olVlz+cSGEEEIIIYQQQggRSSSiCuFwYqkTT12DqaIi//ZJCCGEEEIIIYQQQviORFQhHKVp+ytWrjKtW7c2rR+Za1asiSmdXwghhBBCCCGEECLiqLGUEI5SsbR4TbF55ZVX1v7/+I3VWEoIIYQQQgghhBAi4shiJ0SFdP7SNH6HnKhCCCGEEEIIIYQQkUbqkBCOorjGUg41lhJCCCGEEEIIIYSINAUhon7zzTemY8eOZscddzQbbLCB2Xnnnc0tt9xiVq1aVe45RUVFFbZZs2b5uu8iwI2lHHKiCiGEEEIIIYQQQkSagqiJ+tlnn5mSkhIzcOBAs8suu5iPP/7YXHjhhWbZsmWmV69e5Z77+uuvmz322KPs+9q1a/uwxyLQTlSJqEIIIYQQQgghhBCi0ETUY4891m6OnXbaycyfP988+uijFURURNO6dev6sJci8NSokVhEVTq/EEIIIYQQQgghRKQpCBE1Eb///rvZfPPNKzzepk0bs2LFCrPrrrua7t272++TsXLlSrt5XxOWLl1qVq9eXaX94veWL19ufvnlF7POOutU6TVEbo5p0R/LTa2VMfPnXyvKHvtjZcys/O0PE9voFxMldJ5mHx3TYB7TP//8036NxWJZ3jshhBBCCCGEEIVEUawAI8cvvvjC7L///taFSlo/LFmyxAwfPtwceuihpkaNGuaFF14w9913nxkzZkxSIfXWW281t912W573XgghRL759ttvTb169fzeDSGEEEIIIYQQASXQIur1119vevbsmfI58+bNMw0bNiz7fvHixaZ58+amRYsWZvDgwSl/97zzzjNff/21mTFjRkZOVOqu4kKlJABNqarCH3/8YbbbbjsbsP/rX/+q0muI8uiYZh8d0+yjYxrMY8oQiBt1m222sQtsQgghhBBCCCFE6NL5r7nmGnP++eenfA71Tx3ff/+9OeKII8whhxxiBg0alPb1DzroIDNp0qSkP19vvfXs5mWzzTYz2YCAX0JKdtExzT46ptlHxzR4x3TTTTfN6v4IIYQQQgghhCg8Ai2ibrnllnbLBByoCKik8Q8ZMiQjR9GcOXPM1ltvnYU9FUIIIYQQQgghhBBCFCqBFlEzBQGV9P3tt9/e1kH9+eefy35Wt25d+3XYsGFm3XXXNfvuu6/9/sUXXzRPPPFE2pR/IYQQQgghhBBCCCFEtCkIEZWUfJpJscU3BvGWfL3jjjvMwoULTa1atWwd1Weffdacfvrped1XygPccsstFcoEiKqjY5p9dEyzj45p9tExFUIIIYQQQgiRLwLdWEoIIYQQQgghhBBCCCH8Rq2IhRBCCCGEEEIIIYQQIgUSUYUQQgghhBBCCCGEECIFElGFEEIIIYQQQgghhBAiBRJRhRBCCCGEEEIIIYQQIgUSUfPEDjvsYIqKiipsl19+ud+7FlqKi4vNzTffbHbccUezwQYbmJ133tnccccdRr3Sqseff/5punTpYrbffnt7XA855BAze/Zsv3crNEyfPt2ceOKJZptttrHX+JgxY8r9nPOzR48eZuutt7bH96ijjjKff/65b/tbCMf0xRdfNMccc4ypXbu2/fmcOXN821chhBBCCCGEEIWJRNQ8gQj1v//9r2ybNGmSfbxt27Z+71po6dmzp3n00UdNv379zLx58+z39913n3n44Yf93rVQ06lTJ3t+Pvnkk2bu3LlWnELoW7x4sd+7FgqWLVtmGjdubB555JGEP+ccfeihh8yAAQPMO++8YzbaaCPTqlUrs2LFirzva6EcU37erFkzew8QQgghhBBCCCFyQVFMtj1fwOk3fvx460DDOSUqzwknnGDq1KljHn/88bLHTjvtNOvuGzFihK/7Flb+/vtvs8kmm5ixY8ea1q1blz2+//77m+OOO87ceeedvu5f2ODaHj16tDn55JPt99xucVNec801plu3bvax33//3Z7HQ4cONe3atfN5j8N3TL1888031pn+4Ycfmn322ceX/RNCCCGEEEIIUZjIieoDq1atsiLfBRdcIAG1GpBmPnnyZLNgwQL7/UcffWTefPNNK/aJqrFmzRpbJmH99dcv9zjCNMdWVI+vv/7a/PDDD9bZ69h0003NQQcdZGbOnOnrvgkhhBBCCCGEECI5tVL8TOQI6vn99ttv5vzzz/d7V0LN9ddfb/744w/TsGFDU7NmTSv+3XXXXeacc87xe9dCCy7Upk2b2tqyu+++u3VIjhw50gp8u+yyi9+7F3oQUIHj6oXv3c+EEEIIIYQQQggRPORE9QHSz3FLktYrqs5zzz1nnnrqKfP000+bDz74wAwbNsz06tXLfhVVh1qopJ1vu+22Zr311rP1O8866yxTo4ZuF0IIIYQQQgghhIgmcqLmmYULF5rXX3/ddpMW1ePaa6+1blRXR3Kvvfayx/eee+4x7du393v3QsvOO+9spk2bZpv14PSli/yZZ55pdtppJ793LfTUrVvXfv3xxx/tcXXwvWp4CiGEEEIIIYQQwUXWsjwzZMgQs9VWW5Vr2iOqxvLlyyu4I0nrLykp8W2fCgm6xiP0/frrr+a1114zJ510kt+7FHpoeoSQSi1fB0L1O++8Y8soCCGEEEIIIYQQIpjIiZpHEPcQUXFJ1qqlQ19dTjzxRFsDtX79+maPPfawHbkfeOAB27BLVB0EU9L5d9ttN/PFF19Yxy91Zzt06OD3roWCv/76yx43bzOpOXPmmM0339yeq126dDF33nmnadCggRVVb775ZlvaI1G3eZHZMV26dKlZtGiR+f777+3P58+fb78iWDv3rxBCCCGEEEIIUR2KYqglIi9MnDjRtGrVygb4u+66q9+7E3r+/PNPK0CNHj3a/PTTT1aIonZnjx49zLrrruv37oW61uwNN9xgvvvuOytSnXbaaVaspou8SM/UqVPNEUccUeFxFk+GDh1qBepbbrnFDBo0yDaYa9asmenfv7/uCdU4pmyJRH6O86233pqnvRRCCCGEEEIIUchIRBVCCCGEEEIIIYQQQogUqCaqEEIIIYQQQgghhBBCpEAiqhBCCCGEEEIIIYQQQqRAIqoQQgghhBBCCCGEEEKkQCKqEEIIIYQQQgghhBBCpEAiqhBCCCGEEEIIIYQQQqRAIqoQQgghhBBCCCGEEEKkQCKqEEIIIYQQQgghhBBCpEAiqhBCCCGEEEIIIYQQQqRAIqoQIi+sWrXK7LLLLubtt9/2bR+uv/5607lzZ9/+vhBCCCGEEEIIIcKJRFQhqsD5559vioqKKmxffPGF37sWWAYMGGB23HFHc8ghh5R7fMqUKeaEE04wW265pVl//fXNzjvvbM4880wzffr0sudMnTrVHt/ffvutwuvusMMOpk+fPhntQ7du3cywYcPMV199lYV3JIQQQgghhBBCiKggEVWIKnLsscea//3vf+U2RMJEDsyoE4vFTL9+/UzHjh3LPd6/f3/TsmVLU7t2bfPss8+a+fPnm9GjR1uhtWvXrlnfjy222MK0atXKPProo1l/bSGEEEIIIYQQQhQuElGFqCLrrbeeqVu3brmtZs2apkWLFuaKK64wXbp0KRPt4OOPPzbHHXec2XjjjU2dOnXMueeea5YsWVL2esuWLTPnnXee/fnWW29tevfubV+L13HgxhwzZky5/dhss83M0KFDy77/9ttvzRlnnGEf33zzzc1JJ51kvvnmm3Iu2pNPPtn06tXL/h0EzMsvv9ysXr267DkrV6401113ndluu+3s+yQN//HHH7diKP/nd73MmTMnpRP3/fffN19++aVp3bp12WOLFi2y740Nd+iRRx5ptt9+e7P33nubq666yrz33nuV/kw4DokcwrfeemvZc0488UTzzDPPVPq1hRBCCCGEEEIIEV0kogqRAxAF1113XfPWW2/ZNHbS0BEJ9913XysOTpgwwfz4449W7HRce+21Ztq0aWbs2LFm4sSJNoX9gw8+qNTfRQhFtN1kk03MjBkz7N9HlMU163XEkkKPqMlX9hXx0SvEIuaOHDnSPPTQQ2bevHlm4MCB9nUQJC+44AIzZMiQcn+X7w8//HArsCaCfdl1113tfjleeOEFu7/du3dP+Dv8rcpCGQCvM5j3UKtWLXPooYeWPefAAw803333XTlhWQghhBBCCCGEECIVtVL+VAiRlPHjx1th0YHLdNSoUfb/DRo0MPfdd1/Zz+68804roN59991ljz3xxBPW6blgwQKzzTbbWKfniBEjbHo7IG7Wq1evUvtESnxJSYkZPHhwmQiJwIkrFVH2mGOOsY/93//9n02vxznbsGFD6xCdPHmyufDCC+3+PPfcc2bSpEnmqKOOss/faaedyjlZe/ToYd59910rSCKEPv300xXcqV4WLlxo36MX/s6//vUv6+D1Cqvt27cv+37mzJlmr732Kvs+0fFYvnx52f832GADuwEiMQ5bjvnRRx9d9hy3H+wT9VSFEEIIIYQQQggh0iERVYgqcsQRR5SrrbnRRhuV/X///fcv99yPPvrIuj69oqsDse/vv/+2TtGDDjqo7HFS8XfbbbdK7RN/h5R6r+MTVqxYYf+OY4899rACqoO0/rlz55al5vOz5s2bJ/wbiJCIrojAiKjjxo2z6f9t27ZNul+8P5pGpXOb4qLl7y9evNiWMiguLq7gaI1/bzwvnt9//902q2I/cfh6cSKrV3wVQgghhBBCCCGESIVEVCGqCKJpsvR1r6AKf/31l63F2bNnzwrPRcBMVks0kehIXVIv3lqm/B0E3KeeeqrC72655ZZl/19nnXUqvC4OVq/ImIpOnTrZmq4PPvigdbqSRr/hhhsmfT61YZ1I68Cti9j5ww8/lLlREZk5pqTgJ4LGXbhqvcQ/F+GV/cHlOmjQoAqvsXTp0grHQwghhBBCCCGEECIVqokqRB7Yb7/9zCeffGLTxxEJvRuC684772yFzXfeeafsd3799Veb8u4F4Y9an47PP/+8nKOSv8NjW221VYW/s+mmm2a0r6TPI6hSnzUZxx9/vN1vnLjUd6VOaiooZfDZZ5+VE4BPP/10+54TCcvVoWvXrlawpQFXIvcrDb74u7hxhRBCCCGEEEIIITJBIqoQeYDanDggzzrrLDN79mybWv/aa6+ZDh06WOckDsyOHTva1PM33njDCn3UHq1Ro/wlSnMqapl++OGHtkHVJZdcUs5Ves4551jX50knnWRT37/++mtbC/XKK6+0zZQyAaGXuqQIowiR7jWok+og3Z/9u+GGG6yjtGnTpmlLH+CSRUh21K9f3/Tu3dv07dvX/j3KHdDsiWZaNLRyf6cy4Irt37+/beaFuxaXKxt/28FxOeywwzJy3AohhBBCCCGEEEKARFQh8gB1RN966y0rmNLcCbdnly5dbGq6E0rvv/9+K+6R9k9Dp2bNmlWorYroSDMqnnf22Webbt26lUuj5//Tp0+3AuWpp55qdt99dyvOUhOV9PZMwWGKU/Syyy6zjadoOLVs2bJyz+F1qeOKEJyO2rVrm1NOOaVCmYHOnTubiRMnmp9//tn+PQRZXK4ItzhcvU2lMgH3LMe4TZs2tkyC27xNr5555hn7foQQQgghhBBCCCEypSgWX2BRCBEYaJq0zz77mD59+piggaOzZcuW5ttvvzV16tRJ+/z//ve/5uijj7Yu3EQNtvLBq6++aq655hq7L8nqrgohhBBCCCGEEELEIyeqEKJSrFy50pYGuPXWW03btm0zElBh7733tvVPcZn6BW5aUv4loAohhBBCCCGEEKIySEkQQlSKkSNH2lR+HLLDhw+v1O9SR9VPKBkghBBCCCGEEEIIUVmUzi+EEEIIIYQQQgghhBApUDq/EEIIIYQQQgghhBBCpEAiqhBCCCGEEEIIIYQQQqRAIqoQQgghhBBCCCGEEEKkQCKqEEIIIYQQQgghhBBCpEAiqhBCCCGEEEIIIYQQQqRAIqoQQgghhBBCCCGEEEKkQCKqEEIIIYQQQgghhBBCpEAiqhBCCCGEEEIIIYQQQpjk/D8owRg1tGRUFgAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABVEAAAKVCAYAAADGPqv/AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjYsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvq6yFwwAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsnQd4FOXXxQ+kkgABQu+99ypIF1GKigVF7KiI/bP3gvq3914Qu6jYEUSlSe+9995rgARCIN9z7jJxE9Kzmy05v4dhN1um7cy885733HsLJScnJ0MIIYQQQgghhBBCCCFEuhRO/2UhhBBCCCGEEEIIIYQQRCKqEEIIIYQQQgghhBBCZIJEVCGEEEIIIYQQQgghhMgEiahCCCGEEEIIIYQQQgiRCRJRhRBCCCGEEEIIIYQQIhMkogohhBBCCCGEEEIIIUQmSEQVQgghhBBCCCGEEEKITJCIKoQQQgghhBBCCCGEEJkgEVUIIYQQQgghhBBCCCEyQSKqEEIIEaQ0a9YMhQoVQkREBPbt2+fr1SnQnDhxAp999hn69euHqlWrokiRIoiKikLNmjVx2WWX4ZtvvkFiYqKvVzOg+Pzzz+34vv766xFsHD16FFWqVLFz+NSpUx6ZJ/cVp5zStWtX+96kSZPgLapXr56yftmZnn766Vwvq0uXLggJCcHOnTuz/OyqVavw5ptvonfv3qhUqRLCw8NRvHhxtGnTBi+88AKOHDmS7veee+45W88xY8bkej2FEEII4X+E+noFhBBCCOF55syZg8WLF9tzinNff/017r77bo8vh2LG0KFD8dRTT+VJ2Ahm5s+fb0Lphg0bTFihMNa2bVsULlwYGzduxK+//oqffvoJjz32GJYvX27iqijYPP/889i6dSs+/PBDO04KCmeffTZq166d4ftjx47Frl27cj1/fnfq1Kno0KEDypcvn+XnzznnHGzbtg2RkZFo3bo1OnfubPOYMWMG5s6di08//RQTJkywgRF37rnnHrz77rv2eO655yIsLCzX6yyEEEII/0EiqhBCCBGEsHNP6J6iCMC/vSGiiqwF1E6dOiE+Ph59+/bF22+/jRo1aqT6zJ49e/DGG2/gtddeM8FbImr2uPjii3HWWWchJiYGwQTPVx4LdDv26dPH16uDL7/80o7ftEKhN7jpppsydRbTFZsXEZUDFnT2Xnrppdn6fL169fDMM8/g8ssvR9GiRVNe5+AHz+dly5bZ+lJIdSc6OhoPPPAA7r//fnzwwQe46667cr3OQgghhPAfCs7QthBCCFFAoOAxYsQIe/7VV19Z53/JkiXmThX5G8Lfv39/+z0Yxv/bb7+dIaCSMmXKmPOQDjmmXhDZg+Jp/fr1UaFCBQQT77//Po4fP44bb7wR/gDFU+7nYBD36fgml1xySbY+P378eAwaNCiVgOqkH6BLmEycONFcw2m59tprzYHKgZPk5GSPrL8QQgghfItEVCGEECLIGDlyJOLi4tC4cWN069YNV1xxRSp3alZ5DxcuXGgiQ+nSpU3Ua9iwoTnj0goB/DxD+Qkf3XMWpnWTJSUlYdiwYbacUqVK2XwpKN56663YsmXLGevD9eB8+HmKkS+99BIaNWpkuURjY2Nt/VasWHHG9+gQ4/cocnB9P/74Y7Rq1cqcYRTdevbsaaG46TF79mw8+OCDFmrPUF/mPyxXrhwuuOACjBs3Djnl22+/xfr1620+dKNlFZZN5yG3zx0KsC+++CJatmyJYsWKmZDF/fD444/jwIEDmW4/HXcUcJo2bWrfo9g4ZMgQ7N+/3z5Loe7ZZ581gYzLrVixormVmY8zLUzV4OSi3LRpkwlEnB/DnOvWrWuvJyQknPE9/nZMJXHVVVfZcphPksuiw4/uvO3bt2d5PE6ZMsV+A4rN3IfMhZpVTlT+XvwOfz8KWSVLlkSdOnVw9dVXY/LkyWd8nscnRTGGefM44Xbx81xHOkOzyjFKca5jx462fTzWGJaem3yYdCJ/8skndn4MGDAg09+X6/zyyy+nnBc8X+mYXLlyZZbLycn65kdO1PyA5wu3gWH5nnDVtmjRIuV5etcwHq/Mpbpu3TpLQyCEEEKIwEciqhBCCBFkOGIpHVTuj9999126Qpc7f/31F9q1a2dCDHP5tW/fHqtXr7awVOb3c+e6666z/J6Ej/zbmSjQOBw+fNjmdfPNN2PevHkm6l144YUmFFG4ohixYMGCdNeHIhyFCIbUUvhgeDNFn19++cUEL4pKGXHDDTfgjjvuQIkSJSz0lsLoP//8Y8LyrFmzzvj8o48+amLxsWPHTHile7Ry5cr4448/bP3feust5AQ6T8l5552XrfyLaaHYSXHrkUceMSGme/futi92796N//3vf7aOmW0/BcOHH37YUjpwHSiqfvTRR+jRo4cJpXx89dVXTdDkcwq2FF3pns0I5nXlcv/++29LU8D9QiGUIjqfc9+5w9Dra665BqNHjzYh8/zzz7ftYEGed955B82bN8fatWszHRCgiEcxmuvIZWTl1v3iiy9MLOcyKdQzdJu5LCkY8hz4+eefU32eYnKvXr1M0OdxyH3O356vO+vItAwZwXzAzj7j70Pxdfr06XbM8TjNCdOmTbP0DhTUs0pTwMERiukUv7m+/Dz3F7+b0UCBp9c3kPj999/tepLdUP6sWLNmTcrzjNzQPF6dNAJCCCGECAKShRBCCBE0rFq1inbR5LCwsOTdu3envF6/fn17/csvv0z3e126dLH3OX344Yep3hs/fnxyoUKFkkNCQpK3bNmS6r2nnnrKvsPHjBg4cKB9pm/fvsm7du1K9d4bb7xh79WpUyc5KSkp5fWJEyemrE+LFi2Sd+zYkfJeQkJC8nnnnWfvDR48ONX8NmzYkPK9atWq2f5w4PwHDRpk7/Xs2fOM9RwzZkzy9u3bz3h9+vTpycWLF7d9unXr1uTsUqVKFVvWM888k5wbrrjiCvt+u3btkvfu3Zvy+uHDh5N79epl73Xo0CHD7a9Vq1byxo0bU97jPLif+V6TJk2S27Ztm2q+69evTy5ZsqS9P3Xq1HR/Z04XXXRRcnx8fMp7PCbq1q1r7z388MOpvhcXF5f822+/JR8/fjzV64mJicmPPPKIfad3796ZHo/vvfdeuvvns88+s/evu+66VK/XqFHDXp8yZcoZ3+HxN3/+/FSvPfTQQyn7i/vPfR1vvPFGe4/zTLsNzvqVKFEieebMmenuL+6XnPD444/b9x544IF033f/fUuXLp28aNGiVMf3nXfemXLsHzt2zCPr6/wWPCfdcT9HczKl/b0I15fv8TfNDGddMrveZMQFF1xg3129enWyJ3DOz5YtW2b4GR5rzrElhBBCiMBHIqoQQggRRDiC0KWXXprq9ZdfftlepwiRmThxySWXpPv++eefn64Im5WIunz5chNgK1asaIJaelBE4zxGjRp1hkDD7y5cuPCM71AE4vs1a9bMUGT6/fffz/gexVi+FxERYSJZdnEEv4wEvfSIjIxMV5TODps2bUouXLiwbb+7UOZAMdeZ/7Rp09Ld/tGjR5/xvddffz1lvy5ZsuSM9x0RbujQoen+zkWKFEklaDvwt+P7FJspcmcXHhfczrTHhnM8du/ePcPvZiSiRkVFJcfExGRr+VzXokWLZni8HD16NLlcuXL2/jfffJPqPWc/v/3222d8jwIm14Hvb968OTm79OnTx74zfPjwdN93/33ffPPNdJdbqVIlj65vRiLqihUrbN/ndPrkk0/yXUTlwAPP+caNGyd7AufY48BSemK9A4V3Z78fOnTII8sWQgghhO8I9bUTVgghhBCegTkSGcrsHsLvwByWDFdnPkiGhteqVSvdeTCPZHo0aNDA8vpllB8yI5hnkfoNw6WZ0zM9GK7Nzzkhxe4whN9JGZB2fUhG6xMaGmqh42lhWD3Dypkfcd++fWeE2fM1hoEvXbrUPsPwX/fQ3VWrViE/4O/E8HvmQmX6g7Q4IfpMGcDCNkxtkHb7GdKeFoZuO/uVOXMzej+jXKWcZ3qpCfi7MVct9x9D39Ouz6JFi6xID9MBMJUAt805ZvmcIf3uOSYdLrvsMuQU5rRl7kse88zxyvlmlI927ty5llqAeXrTO/aZS5a5SZnKgft54MCBZ3wmve8x5UDNmjUtPQCP0SpVqmRr3Z3K89yXWcG0Gektl2H+r7/+uu0Db64vc9w6+Wn9HZ7TTM/giVB+Hse33HKLPWdOWvfUJWlhPmQWpeIxxt+WKSWEEEIIEbhIRBVCCCGCBAoFO3fuTBHY3GGBHeY/ZF7A4cOHW07N9Mio4IrT+U+b8zIrmMvSydOaWWErwlyQOV0fCiPpwRyFLCiU0XcpkKbdFhb0Yd7X9AorObBgV3ZhYRkWnGEO05ziiMPM6ZkRjhCenpDM7aeQmhanynhG+9URujP6nTNbHxY7oojqXqmc+5I5UbPKtZnRfuU8c1PdnqLuV199ZRO3iXlCmYuV6+K+7Xndz54+Zw4dOpTquxnBPL+c0sPZlvQqxnt6fQMFFtIieRVRp06diosuusgKgDG37L333pvld7hfKaKmVwhOCCGEEIGFRFQhhBAiSHBESoogXbp0OeN9RwSie4yFmkJCQs74TFYV5HOK4zhkcZ70HKXusKCVp9Ynp99jwSu6y7hPXnrpJXPrUWyiE5GVyT/++GN73xUVnT1YgIki6pw5c5DfZLX9nv6d3XHfRyyKRQGVrsUXX3zRxExWkadDj9CxyiJIGe1XVp3PKXQp0zHM4lcTJkwwh/OUKVPsOY97nicsuuUpPLkvHWE0J2J9RmS0Tz21viw+x980p9C5edNNNyG/YDE9Ot3psm7SpEmu58PjiANRHBh47LHH8PTTT+dIGKcDXgghhBCBjURUIYQQIgjYsWOHCQWEbkBW+c4IhmozNJ+V7r2NExbMiufvvvsu/BVWNafodOedd+LBBx/MtBJ3dqFjjVW5//rrLwvlpRs4u9BN7O7kTQ/nPeez+QHD8TNi48aN9li5cuWU13744Qd7/P7779NNS5Cb/Zod6MKl4MXJESUZ4j506FATwy+++GJER0en7LvMtis/93PZsmVTzuHMOHjwoE3puVHT+x28AV3vTvqQnJKfIirPPwqfl1xySa7nMXPmTEsPcvjwYUuL8txzz2Xre3TKO872nJz/QgghhPBPvGdDEEIIIUS+QXfpyZMnzc15unBkupMjEGYVWp9dHEchc1umB3OhEqYR8Ocw4f3799tjtWrVzniP6+2EA+eEq666ysLRGfp76623prhyM3PD0jVHOnfubI7BhQsXWj7R9ERzCuGkW7duyC/o7kwvPQEFfAp/DJ2nAzc7+5Xi1t69e5EfMKSazkGKjvHx8Vi9erW93rp1a0txwPXkMZoW/h7fffddvu1n5sAly5cvz/KzTFWQFh5rFKydXMPehPPP7FqT0ZTfeVR//vnnPIXyz54929KjOAJqRqlQ0oO5lUnt2rWVD1UIIYQIAiSiCiGEEEEA85xmVGzGHRbbIX/88Ue6OUhziuN2W7ZsWbrvs6gPxQuGtdMJ5rjk3KFT65tvvkkpquMLnEJVdNZRLHEXUG+77bZMnYoZwZysdGJGRkZaSHu/fv3SnQ8FvCeeeMLcuk6OV6YS6N+/v4lOdE66OxO5vwYPHmzrxnD4tEWcvAlFRQrCjtjrOJvvu+8+ez5kyBDb3rT79Z133kk1H4bb87OehgIpHafpHdsM6ad7kykbnOOW63r77bfbc27Dpk2bUj7PomIsTEXHJfOM5qbIVU5xhFqmOMiKZ599NkWkIxTpH3roIcuFSge4J4ooBTr8DUeNGmXnE1NJ5BQWHmMxNTqZcyqgOikACPPxCiGEECLwUTi/EEIIEeD8+++/Vt2cFbZZSTwzGjVqZG43VlD/8ssvU8Sv3EKHFsOiGbbOXIfMO0iRioLgDTfcYJ/57LPPTLz6888/Ua9ePcuNSlGKAiFFVTot6aBbsWKFz0Jeua6swM7q5Fy3Tp062XZQeKNgSDGN7+cUCjeTJ082QZRiDsVrCsushE6nKUU7CjV0EfM1/oYO7733nuWdnDVrlhU3osDGMHX+3hQJuZ4Un/MTivDcBq4r9xGFXOYapbDbvn17C5d3h8V3KD5SJKagzOOPTlbuV36/YsWKKUKTJ+BxxGP6gQcesPyXPB4pZvM4Y0g2YT5LFv1y4DrzN2DVdYq+3M901FLI3Lx5M2JjYy3dg+O69iY8b7huXJ+MwvUJRUE6fnku0xHKdWTu3XXr1tn5+O2336YSswsq/E25H6+//vpcfZ8CKnOa8ndgTumM5vPwww9b3t+0jBs3zh45gCKEEEKIwEdOVCGEECLAcULzWQwpO8VLHDeqJ0L6KXpSHO3Ro4eFIFOY5Xwp9DlQkGIYOIUdfo7CFJ2ZFN8oUDLsnX87VdB9AUUSCld0nfI5t4kiGkUUCs4sjJVbKKQyfHzYsGFWNZ6OWwqqDB+noMj8nCNGjDDB1L2QEoUxCowvvPCCCabchxQwWZiJrjiG/+emen1e4HpwP1FopDjMkPwKFSrgySefNMEobSEouo95LJxzzjmWgsDZZobWcx9T4PQkDM3/8MMPccUVV5ir959//jGBn8vkulBUSyv0UrhmaoT333/fBH4KvDweuW7MkUuR3z1FgTehUHvzzTfbuvOYyAgWO6Mozf1IlzfXl9Xf6T5l+DkHNARS0nDkNh8q9ymhEEuXekYT3cpp4UAHj3Fe15hPVQghhBCBT6HknJSZFUIIIYQQBQ6KdRQf6SzNblVykTvoeKTw1rhxYxOs3aGjlkI2c8ymlxpD/Afd3RT46fhmygk+5ievvfYa7r//fnOw33XXXfm6bCGEEEJ4BzlRhRBCCCGE8BMqVapkKQnoNKbzWOQO5hqms/ztt9/OdwGV6S1efvll1K1b13IICyGEECI4kIgqhBBCCCGEH8F0DSx+xfytLBglcg5zy9I1ffnll+f7st944w1LIcFHT6esEEIIIYTvkIgqhBBCCCGEH8HiUMx1ynys+e2iFHnn8ccft8J5vXv39vWqCCGEEMKDKCeqEEIIIYQQQgghhBBCZIKGtoUQQgghhBBCCCGEECITJKIKIYQQQgghhBBCCCFEJkhEFUIIIYQQQgghhBBCiEyQiCqEEEIIIYQQQgghhBCZIBFVCCGEEEIIIYQQQgghMkEiqhBCCCGEEEIIIYQQQmSCRFQhhBBCCCGEEEIIIYTIBImoQgghhBBCCCGEEEIIkQkSUYUQQgghhBBCCCGEECITJKIKIbLNnDlz0KFDB0RHR6NQoUJYuHBhuq+/+eab9rhx48Yczf/zzz/P1feEEEIIIYQQQgghvIlEVCFyweLFi3HVVVehUqVKCA8PR/ny5dGxY0cMHTrU68tet24dbrnlFtSsWRORkZEoXrw4zj77bLz11ltISEjw2nJPnDiB/v37Y//+/XjjjTfw1VdfoVq1aum+npycDH9m+vTpePrpp3Hw4EFfr4oQQgghhBBCCCECgELJ/q52COFn/Pzzz7jyyitRtWpVXHPNNahYsSI2b96McePGYc+ePVizZo3Xlj169GgTLCMiInDttdeicePGSExMxNSpU/HTTz/h+uuvx8cff+yVZa9cuRINGjTAJ598gptuuinT10+ePGniKteTztLsktvv5ZRXX30VDzzwADZs2IDq1at7bTlCCCGEEEIIIYQIDkJ9vQJCBBIHDhzAoEGD0KZNG0yYMMFcqA7PPPMMtm/f7rVlU/AbMGCAuT+57AoVKqS8d/vtt2Pt2rUmsnqL3bt322OJEiWyfD0kJMSmnJLb7wkhhBBCCCGEEEJ4E4XzC5ED6DY9dOgQbrzxxlQCqgNdqd7i5ZdfxpEjR/Dpp5+mElAdateujbvvvjvl7wULFqBXr14W7l+0aFGcc845mDlz5hnf27ZtmwnD5cqVMwdoo0aNMHz48FSfocO1S5cu9pxOWLpEu3btmuHrGeU25bK477ifuKwaNWrg1ltvNTctyex7Wa0jw/P5XYrJXC+KujExMbjhhhsQHx+f6nN0oRIun99RHlYhhBBCCCGEEEJkhpyoQuSAo0ePpuREzW9GjRpleVBZwCkrli1bhk6dOpmA+uCDDyIsLAwfffSRCZz//vsv2rVrZ5/btWsXzjrrLBMR77jjDpQpUwZ//vmnCZ1xcXH4v//7P/scc7Ay/+vzzz+Pu+66y5y4FDQpzqb3OkXPtNCl27ZtW8tDOnjwYNSvX98+9+OPP5rImZ4onZN1dLj88stNHH3hhRcwf/58DBs2DGXLlsVLL71k719yySVYvXo1RowYYTlcS5cuba9zvkIIIYQQQgghhBDpwpyoQojssXHjxuSoqCjmEU6uU6dO8oMPPpg8YcKE5KSkJK8u99ChQ7bMiy66KFuf79evX3J4eHjyunXrUl7bvn17crFixZI7d+6c8tqNN96YXKFCheS9e/em+v6AAQOSY2JikuPj41Nemzhxoq3DyJEjU302vdc/++wze23Dhg0pr1177bXJhQsXTp4zZ84Z63vq1KkMv5fddXzqqafsu4MGDUr1uYsvvjg5NjY21WuvvPLKGcsRQgghhBBCCCGEyAiF8wuRA5iPdMaMGeZ2pLOSIfbdu3c3hyhD/b0FHZekWLFi2SrO9Pfff6Nfv362Xg5MATBw4EArQsX5saYci1FdcMEF9nzv3r0p03nnnWdpC+jk9ASnTp3Cr7/+astq3br1Ge9nVEQqN+s4ZMiQVH/Tkbtv376UfSiEEEIIIYQQQgiRUySiCpFDmjZtiu+//x779+/HxIkTLefmli1brOiTk3vzgw8+QMuWLS2Mnjk43cnsvYxgWD45fPhwlp/ds2ePrUe9evXOeK9BgwYmaHJ9+TmG1n/88ccWyu4+cZvci0blFS6LImbjxo1z/L2crmPVqlVT/V2yZMmUomBCCCGEEEIIIYQQuUE5UYXIJczhyRyjnCj2/fHHH1i1ahVatGhhrk8KpN9+++0Z38vsvcxEVBZjWrp0qcfWn2Iqufrqq3HddddlKBj7ktysY0hISLqfo5NVCCGEEEIIIYQQIjdIRBXCA7BiPGE1eMJQejJmzJgzPpvZe5nRt29fc2QynUD79u0z/BxdmlFRUSbopmXlypUoXLgwqlSpgujoaEsPwPD/Hj16wJtwnSgE51QE5ve8sY4ZpQ8QQgghhBBCCCGESA+F8wuRTZhLNCEh4YzXFy9ejLFjx5oD1T0Hqad58MEHTfi86aabrGJ9WtatW4e33nrLnJg9e/bEb7/9ho0bN6a8z+/Q/dqxY0cTNPm5Sy+91HKOpidu0l3rKSjcUjweNWoU5s6dm22XqLfWkfuRMFWAEEIIIYQQQgghRFbIiSpENnn44YexevVq9O/fH82aNUNSUhIWLlyIr776yhyofPQmtWrVMhH0iiuusNym1157reUYTUxMxPTp0zFy5Ehcf/319tnnnnsO//zzjwmmt912G0JDQ/HRRx/h+PHjVgzL4cUXX7S8ru3atcPNN9+Mhg0bWq5XFmtioSw+9xTPP/+8Fbzq0qULBg8ebNuwY8cOW28K1CVKlEj3e95Yx1atWtnjY489ZrlsmZ+WxasccVUIIYQQQgghhBDCHYmoQmST++67zwQ/CoFffPGFhZjXqFEDd955Jx544AELPfc2F154oTlfX3nlFXOaskgVUwkwL+hrr71mIiNp1KgRpkyZgkceeQQvvPCC5RalCPn111/bo0O5cuUwe/ZsPPPMM/j555/x/vvvIzY21r7/0ksveXTdK1WqhFmzZuGJJ57AN998Y4Wm+FqvXr0s/UBGeGMd27Rpg2effRYffvihuYi5fzZs2CARVQghhBBCCCGEEOlSKFnVVoTwGkOGDEH58uWtkFRO3hNCCCGEEEIIIYQQ/oNyogrhBRjqf+zYMXOruj/P6j0hhBBCCCGEEEII4X/IiSqEF6C7dOjQoale++yzzyxnaWbvCSGEEEIIIYQQQgj/QyKqEEIIIYQQQgghhBBCZILC+YUQQgghhBBCCCGEECITJKIKIYQQQgghhBBCCCFEJkhEFUIIIYQQQgghhBBCiEwIzexNkZpTp05h+/btKFasGAoVKuTr1RFCCJFHmBb88OHDqFixIgoX1riiEEIIIYQQQoj0kYiaAyigVqlSxderIYQQwsNs2bIFlStX9vVqCCGEEEIIIYTwUySi5gA6UJ3OdvHixXM1jxMnTuDvv/9Gz549ERYW5uE1LJh4ep8ePXrUXGmOcB4dHY2Cho5Tz6N96p/7NC4uzgbHnOu7EEIIIYQQQgiRHhJRc4ATwk8BNS8ialRUlH1fQopn8PQ+DQkJSXnOeRZUEVXHqWfRPvXvfaoULUIIIYQQQgghMkMJ4IQQQgghhBBCCCGEECIT5EQVIh3obhNCCCGEEEIIIYQQgkhEFSINDN9nXlQhhBBCCCGEEEIIIYhEVCEKICdPnrR8khnB90JDQ3Hs2DH7rMg72qe+2afMleqe51gIIYQQQgghhMgNElGFKEAkJydj586dOHjwYJafK1++PLZs2aKCOx5C+9R3+7REiRL2Oe13IYQQQgghhBC5RSKqEGmgq+3SSy+15z/99BMiIyMRLDgCatmyZS3va0ai0qlTp3DkyBEULVoUhQur/pwn0D7N/31KkTU+Ph67d++2vytUqOCDtRRCCCGEEEIIEQxIRBUiDQwLHjNmTMrzYIHb4giosbGxWYpTiYmJJiBL8PMM2qe+2adFihSxRwqpPPYV2i+EEEIIIYQQIjeoJy9EAcHJgUoHqhAFCeeYzywPsBBCCCGEEEIIkRkSUYUoYCgvpCho6JgXQgghhBBCCJFXJKIKIYQQQgghhBBCCCFEJkhEFUL4NV27dsX//d//5Xk+v/76K2rXrm05MT0xP3/h+uuvR79+/fI0j0mTJplbkzlzvUn16tXx5ptvenSegwYNwuuvv+7ReQohhBBCCCGEEGmRiCqEKBDccsstuOyyy7BlyxY8++yzCDQ2btxoQufChQtTvf7WW2/h888/z9O8O3TogB07diAmJgaegOtTokSJM16fM2cOBg8eDE9y//334/nnn8ehQ4c8Ol8hhBBCCCGEEMIdiahCiKDnyJEjVp39vPPOQ8WKFVGsWLFczYeV4P0NCp/pCZY5ITw8HOXLl/d67tAyZcp4vLBZw4YNUatWLXz99dcena8QQgghhBBCCOGORFQh0hAdHY3k5GSb+Fz4nqSkJNxxxx0mGJYuXRpPPPGE/T4Ox48fN0dipUqV7Ddr166dhagTPjqiaffu3U0odN776aef0KhRI0RERFio+WuvvZZquXyNrtVrr70WxYsXT3FRTp06FZ06dUKRIkVQpUoV3HXXXTh69Gim2/DBBx+gRYsWiIyMRL169fDVV1+lep/rxc/06tXL5luzZk38+OOPKe/XqFHDHjkPfpZpDtIL5+frd955p6UsKFmyJMqVK4dPPvnE1u+GG26wfcG0Bn/++WeG4fycB/9OO9ENSxg+36RJE9vX3P7bbrvNhGpnXlwOnaHO955++ul0w/k3b96Miy66CEWLFrX9e/nll2PXrl0p7/N7zZs3t33F7/L3HzBgAA4fPpxq3/Xt2xffffddpvtfCCGEEEIIIYTICxJRhSigUIRMTDrhk8ldAM0OX3zxBUJDQzF79mwLX6eIN2zYsJT3KbDOmDHDhLTFixejf//+OP/887FmzRoLVV+1alWKaMqwdb42b948E+0oyi1ZssQEO4qzaUPjX331VTRr1gwLFiyw99etW2fzvvTSS21Z33//vYmqXIeM+OWXX3DPPffg9ttvt+8wtQCFxokTJ6b6HOfP+S5atAhXXXWVrduKFSvsPW47GTdunG3Dzz//nOn+otjM71BQvfXWW22fcLvnz5+Pnj174pprrkF8fHy63+e8uQxnuuSSS0z4pSBLChcujLfffhvLli2zZU2YMAEPPvigvcdlUCilKOp8nwJ3Wk6dOmUC6v79+/Hvv//in3/+wfr163HFFVek+hz3N/PZ/vHHHzbxsy+++GKqz7Rp08a2lWK6EEIIIYQQQgjhDUK9MlchhN9z4mQS3voz/VyaFDkpSNGh6Y0Q77t7XY/w0LBsf55uxzfeeMPWhWIeRU/+ffPNN5ub8bPPPrNHhuoTinZjx46115kvs2zZsvZ6qVKlLGydUIg955xzTLgkdevWxfLly/HKK6+Yu9OB7tX77rsv5e+bbrrJBE6nOFWdOnVMUOzSpYs5Sek0TQuF2Ouuu86+S3Gxfv36mDlzpr3erVu3lM9R6ORnCB2wFBbfeecdvP/++xYKT2JjY1O2ISMo+j7++OP2/JFHHjHRkaIq9xd58sknbV0p6J511llnfJ/7yYH7mSLprFmzzCFL3Atz0SH63HPPYciQIbaeTA1Axyh/q8zWc/z48fY7btiwwX5f8uWXX5ozmLlTKYw6YiuFbcdNTPGX3/3f//6XMi/+7ky1sHPnTlSrVi3TfSOEEEIIIYQQQuQGOVGFSMOxY8dMzOLE58L3UOhzF3Pbt29vLtOTJ0+aEMdHiqAMC3cmOhbpYswIOjzPPvvsVK/xb2e+Dq1bt071GbpEKeq5L4u5Vin2URDMaFl0aKZdluMydd+utH+n/Ux2aNq0acrzkJAQE14Zfu/gOEqZJzYzGPL/8MMPm9uW+9eBblgK0EyfQHGTwua+ffsydLamB7eL4qkjoDr5TZnf1X2bKdK657CtUKHCGevtiLs5Wb4QQgghhBBCCJET5EQVIg0U0JxclHmteu7PhIWEmiM0PSgIxsXFmWuSodveWLanYC5OCoUMz+ejOxQ480ravLhcHsPxmQc1LVWrVoU/EBaW2uVLAdr9NUeQ5u+cEXTlMp0AXawM/3dgXlTmIGWKALpB6VplOoMbb7zR3KCeLhyV3rakXW+mBCCOW1cIIYQQQgghhPA0ElGFKKBQjMoopJ4iFd/j5A0RNacwlNwdhsIzjJ6iKQstUfimO5HFnrJLgwYNMG3atFSv8W86LtOKse60bNnSBEYWZ8rJsqZPn46LL7441bLovEy7XSxi5f43t48wTJ64u2S9xd69e3HBBRdYflbmcnWHYjWPDxbhco6NH374IdVnuK5ZrSf3yZYtW2xy3KjcryxulXa/ZMXSpUtRuXJlS1kghBBCCCGEEEJ4A4moQgi/h/lO7733XnOAsjAS84RSxCMUPZmjlOIjX6PouGfPHsubybD2Pn36pDtP5jll3k3mHmUxIxamevfddy2vZ2Y89NBDll6AhaSYv5ROVYp/zF/K76fHAw88YEWsmAuVLs7Ro0db8SaGxbszcuRISx/QsWNHfPPNN1Ys6dNPP7X3mNeVYevM9UrBkLlXmXvUG1A8paOUxbaYZ9SBTk+KxydOnLDfgEIrxeAPP/ww1fcZgk/HLn8D5mflvNI6VHv06GEpBvjbsRBVUlISbrvtNsstmzaFQlbQCevulhVCCCGEEEIIITyN7y1mQgiRBRRIExIS0LZtW6twf/fdd2Pw4MEp77OAFD9DYZSFp/r162fFiTILr6ejlA7K7777Do0bN7ZiS88880yqolLpQWGW+VZXr15tzleKtvyuU9QqPbg+LNBEkZXC4UcffWTr3LVr11SfGzp0qK0Pl8EiSyNGjEhxZYaGhloBK36Xy2Jle28xefJkc3eySBNzkDoTXaMURVmU66WXXrL9RrH3hRdeSPV95n9loSmK0xReX3755XSd0L/99htKliyJzp07m6has2ZNy7+aE5i3mPNximYJIYQQQgghhBDeoFAyy3CLbMEckXR+HTp0yHJF5gY6uMaMGYPevXufketPwC/26dGjR1NyadJNlzYnZqBCsYmFj2rUqJFuBfn8zIlaEMlqn1JU/OWXX0xwFdnfpxSn6c6lEzg3x74nrutCCCGEEEIIIYIfqSNCCCECFg6c0KErhBBCCCGEEEJ4E+VEFUIIEbAwjYMcpEIIIYQQQgghvI1EVCHSwAI4DON3nguRHyizihBCCCGEEEII4b9IRBUindyUwZIHVQghhBBCCCGEEELkHeVEFUIIIYQQQgghhBBCiEyQiCpEGo4fP47rr7/eJj4XQgghhBBCCCGEEAUbiahCpCEpKQlffPGFTXwuhBBCCCGEEEIIIQo2ElGFEEIIIYQQQgghhBAiEySiCiGEEEIIIYQQQgghRCZIRBVCBDwrV67EWWedhcjISDRv3tzXq5MnPv/8c5QoUSLP8ylUqBB+/fVXeBPmDe7Xr59H5/nhhx/iggsu8Og8hRBCCCGEEEKIvCIRVQgR8Dz11FOIjo7GqlWrMH78eI8Jkd6mevXqePPNN1O9dsUVV2D16tV5nveOHTvQq1cveIKNGzeaKLtw4cJUr7/11lu2rz3JoEGDMH/+fEyZMsWj8xVCCCGEEEIIIfKCRFQhRMCzbt06dOzYEdWqVUNsbKzH5nvy5EmcOnUK+UmRIkVQtmzZPM+nfPnyiIiIgDeJiYnxuFgdHh6OgQMH4u233/bofIUQQgghhBBCiLxQIEXU9957zxxgDP1t164dZs+e7etVEkJkwNixY00gpVhHgbRv374mmjrQITlv3jw888wz9rxr16644YYbcOjQIfub09NPP22fPX78OO6//35UqlTJnKs8/ydNmpQyL8fB+vvvv6Nhw4YmQm7evDnd9fr333/Rtm1b+0yFChXw8MMPIykpKeV9rscdd9xhE8VGCqP/+9//kJycnPL+pk2bcM8996Ssp/s6OHDdmaJg+PDhqFq1KooWLYrbbrvNBN6XX37ZxFJn3hmF83MezjLcJ8dFmtU+rlGjhj22aNEiZR+nF87P/XvXXXfZ+vD6ynnOmTMn5X3ua36fbuHWrVsjKioKHTp0MAexOwzn52+QkJCQrWNECCGEEEIIIYTwNgVORP3+++9x7733WvgvQ0abNWuG8847D7t37/b1qgk/gcIOjwdOfB60UMxLPJrJFJ/F+3mYTguJ2eHo0aN2zs6dO9fEt8KFC+Piiy9OcYgybL1Ro0a477777DnFN4bIFy9e3P7mROGUUNCcMWMGvvvuOyxevBj9+/fH+eefjzVr1qQsLz4+Hi+99BKGDRuGZcuWpesK3bZtG3r37o02bdpg0aJF+OCDD/Dpp5/iueeeS/W5L774AqGhoTZQ88Ybb+D999+3+ZKff/4ZlStXNvHXWc+MoKD5559/mtg5YsQIW1afPn2wdetWE3O5vo8//jhmzZqV7ve5/c4yOL366qt2bFPIzM4+dgaaxo0bZ9/nuqfHgw8+iJ9++sm2m9fX2rVr2/V1//79qT732GOP4bXXXrPlcf8whN8drhcF6Yy2R4hgxEmb4Z4iwxkAyW/cB5/8ZV94gldeeQU1a9ZESEhIQOXP5n7g/uA1UwghCjpqL/9D7aXn2k+aRByjiBCZEYoCxuuvv46bb77ZnGpOEZPRo0eby4tOMnfoquLkEBcXZ48nTpywKTc438vt90X+7FPHCejuLAx0uH/ogqQwZuJY4lEUfq5ShqMr3swoeurxbUB4dLY+SzHPHYqQ5cqVw9KlS9G4cWMTOSnE0VnqCJ7FihWzBtNdAOVNxmeffWaPFStWtNcoHFKY5PlPJyf3C/fTu+++awMsKeubJqSfbvYqVapYyDmXU7duXRNWeQ2hmEkRkvAzFAv5GQqKdMwyjyivQTzGeGNCZ6mznim/jdsynd+M283tql+/vjXwdG/+8ccftqw6deqYkDphwgQTdt3XmxMFU2dAYObMmbaO3Bd02/L9rPaxkyKhZMmSqdaV6+asH4VYisnclxROyUcffYR//vnH5kch19mmZ599Fp06dUoRXuk8pXhN9yrhI927GzZsQOfOnTM8NhxXr7MOGeGsK39b7nN3dC0WaW+2nfsDwuOF58K5555r1wi62EVqeG/0zjvv4JdffrEBqWPHjplDnsX+rr32Whvw8Qf+/vtvu95cffXV1uEtXbp0viyX+Z25f6ZNm4Y9e/ZYyhZex7lfbrnlFju+HDjQxms1Xf7eZsyYMTZA5svOvxAicFF7mXPUXnquvRTClxQoETUxMdFEjEceeSTlNQoQPXr0MHdaWl544QUMHTo03QtLXh2KFBaEZ9E+zRwKjWyojxw5YucCnaa+Kr0UF3cYCD+Zrc/Shfn888/buUtHoyOWrVy50sLbCUPbOeDhDHTwpoSimfM3oauRn2Nj7A6/R9cqP8vvMScn0324fzctS5YsQatWrXD48OGU15o2bWr7dsWKFSaeUoBv2bJlqs8w/J8C7IEDB+xmk9vCZbovK+26c/24ne6vlSpVyoRTLs+BQiedqe7zYji8+99btmwxwZSOXDpwnfey2sfOciiUus+PAiS3k69RcOXf3A/un2EKALp++RqFUic9gPMZ7ntnHbjfHCikcl0y+x0c3PdxevB4576YPHnyGQMjzjoJ4Q4d4jxOeT5y4IGdxalTp9px7oj9+QEHPNIO8PoTa9eutUETpibhtYWdQA4M8VpDkY6pQb788ktcc801OZov81vznA0LC/PYunKQifd8dPLzOp8fPPnkkzZoRDcPhVE+8pjitZYDbHTtu6dOoYjKzmp+iahsjySiCiHygtrL7KH20rPtpTegxiNEdihQIurevXtNREk7isG/KRakhWIrnWoO7Myzk9+zZ8+Ujn9OochAsY+jdJ682BVkPL1PKVo98MADKaEM3i7Ok1+wIWJDzQbbbmqSi7kcoelAwe7w4SMoVqyoV0JjiodFMf4lW5+96qqrTMj75JNPzEFKgY9CHUVh5zykIMnfyfmb28f1dj9P+T1+jjk607oRuU/4WX6Po550QWYGl81jzX3+nAehW5Svp/2M45q07S9e3NaBNyhcpvt80q47t8t92whvaLie7q9xWe77hLh/hgIob8zat2+PF198MdXvmtU+draNbt+Mlpl2+9PbV87gE0Vg5zMZzZtCM6+3mV1rXcfp4RTncWbHPvcFXa1pb+izI9KKgkevXr1S0l3cdNNNJmzR7c10IZdffnm+rQfPH07+CAck2BHctWuXpRU5++yzU73PtEnskPC+K6fwfPZ055spengd8FSHkNcf59qSUfoodgh5vHz11VdnLJcpXjgJIUQgo/Yya9ReBkZ7mV+CsQh8ClxO1JzgCBfuE6EgkJfJE/PQ5L19ysaIaR448bmvt82TE7eHwp1NFPEii6U7FYooCoRH2WNGn8nTdFpAzGqikMaw9SeeeMJEcuY+ZcEo4v454r5tvJngjYj7Z+gc5WscTGH4vftE4dB9XlmtF8PgOdruvky62SnmUYx05sNQSed9fpYCLh2k/C34GhtrCpZp5+++Do446P6+Uxgqs32Qdh4c8eayvv766xQBN7v72Lk5401QRuvB7eL2cD8473N/MwcR55nZ/k37GsP4ebPF3yyz38HZN2n3RUafzez6IURmOOkn0rogOAB72WWX2cAAzxN2JNlxdIeOaqazaNKkScqADTudzKecFWlzvNGdkV6RuLQ52TgYyE4Z04jwXoYDEgzNc09R5HyOxe3KlClj168LL7zQHO3ZYeTIkeY04rUjbYfQgYPO3Nac7ov0crxx2/kdpk5hQTs+53pzfll1PDkvpjDhYFLawnrs3LLzVqtWLdtXjER49NFHz9hXfJ1Oob/++st+Z3YGmbIkM1cNxYSMnDwcrHP/zTh/5uFmB9tZx7S52bhOHNzndnPgiZ1yhjymhTm0eczyM/xdGQrJebvvS7pQnX3jXtyQMG82i/4xwoHbyWvxjz/+mOk+FkIIovbyTNReera9dF8GxWfmbOUxxf5ZRnUbstN+KieqyC7+OVzjJXhyUjzgKJA7/JthzkII/4I5ONmJ+/jjj1GhQgVs3rw5W6E6bFgZgs4iScxtSgckxVI6LikmMiyEYeZsPPkZui5zkofotttus+JVd955p4XGU4TkDRgbZ0cUJFxfvsY8PhQT6fSku9l9PRliPmDAALsZ8VbOId54sCgUbzS4X5zwfN6UZGcfMw8qb4CYP5bFsJycpe7whuTWW281FzdvkCkmv/zyyxYuf+ONN+Y4JxLDeHiTJoQ/wE4K4fniQFGKnSHmfeM5w3Pghx9+sA4LC6w5uYbXr1+PX3/91QrZMeSR9xzsTHTp0gXLly9PydGcHXgtYQoid3hefvPNN6nyFbNzx3DKwYMHo0GDBpaChC6O1atX27o40DXEgZWBAweaaMYQvuxeC0eNGmWPzJmWXfK6L9j5Yzhku3btTOjjdY3Xc14reP3JCDpbeI3jwJZT3I/b6+wDhgmyc88ChUz9wnROTM3CvHXu8Fp/5ZVX2u/A3Nb16tVLd3ncz5w4b8dtnxVOm8LPs/geSRs5xfd5DLK94THJ77ANoovHfVuvu+462090g/EazHzVHTt2xIIFC6zd4fpv377donj4+bQwdzePIbaZTIfCYoz8zZiH219y9gkh/BO1l2ei9tKz7aUD88peccUVGDJkiLV7FH+5v/g70xiS0/ZTiGyTXMBo27Zt8h133JHy98mTJ5MrVaqU/MILL2T53UOHDjEe1x5zS2JiYvKvv/5qj8IzeHqfHjlyxH5nTnweLCQkJCQvX77cHrOC58WBAwfs0df8888/yQ0aNEiOiIhIbtq0afKkSZPst/nll19SPtOsWbPkp556KtX3hgwZkhwbG2ufdd7jMfLkk08mV69ePTksLCy5QoUKyRdffHHy4sWL7f3PPvssOSYmJlvrxfVo06ZNcnh4eHL58uWTH3rooeQTJ06kvN+lS5fk2267zdajePHiySVLlky+9957k5OSklI+M2PGDNsmbptzOU67Dlx3bp871113XfJFF12U6jUu7+677075230f8T3nmHafuKzs7uNPPvkkuUqVKsmFCxe2+aW3Hjy27rzzzuTSpUvbvM4+++zk2bNnp7w/ceJEmy+PLYcFCxbYaxs2bEh5rWfPntm6Jmf3OM3s2PfEdV0EDzwneDyMGzcuec+ePclbtmxJ/vHHH5PLlCljxzT/djjnnHOSmzRpknzs2LGU106dOpXcoUOH5Dp16qS8xvfTHqM83jm/Z555JtVr7uelc/5ndqu2Zs0au16ce+65KdeWr776ys7TKVOmpPrshx9+aPOaNm2a/b1w4UL7m9cpdwYOHJjqupkRLVq0SC5RosQZr7Pd5L5zJvdzKy/7gtcbvub+OWc9WrVqlem6Ot+Pjo5O9ZqzD2666aZUr99///32+oQJE1Jeq1atmr02duzYLJf122+/2WfffPPNVK/z+HDfN5zc241GjRqlXF/TOy579Ohh83C45557kkNCQpIPHjxofx8+fNh+k5tvvjnV93fu3GnHifvrt99+e4bHVnx8fKq/2XY2btw4uXv37lluuxCiYKD2Uu2lL9tLZxk//fRTymvcf+zbcTtz2n4Str/ptcFCpKXAiajfffedXXw+//xz61QPHjzYLmq8wcwKiaj+iUTU4BZRA5W0oqb2afZYunRpctmyZVPd1GSERFThaZyb7bQTB17++uuvlM/t27cvuVChQsnPPvvsGTf5Q4cOte9s3br1jPmz47Z37177HAcs+vXrl+tOIdsnCltcN87T4cILLzQxLu16rV692ub13HPP2eeef/55+3vlypWp5suBj+x0CmvVqpVcuXLlM17ndc993/Xp0yfd7+d0Xzidwt27d6eaz1133WWDVLnpFDr7gNcHd3bs2GGv33fffak6bDVq1EjODuyY8/vDhg1L9TqvV2mPrTlz5mRbRP3hhx9Svf7zzz/b64sWLUr1NzuzaX9/Dk7Vrl07WyKqO/v377fv33rrremKAEKIgonaS7WXvmwvuYyKFSumEkYJTS38LNcrJ+0nkYgqskuBCucntHwzhJe5N3bu3Gk5NGj5ThsyJYQQIv/ZsWOHVSfNqriXEN6E+SKZAoT5gYcPH25pN9yLDLLKLgeimd+MU0aFGRi6yHBBhkez8jrz/brnI2MqjdzC8DjmnJs+fXqq+TC8jaF1zPuV0XoRVghm+pG0aTMyCrlLC3PC7du3L910J8xTll7oYl73BVOJpN0uhucxt3NucPYBc+G5wxRPJUqUsPfdYUhldvcNcVKnODBUkSH0hOlV3NO7ZAemSXHHCZd1tp+/PenevXu6389uUVSG7T/33HNYuHBhqlx33ig0KYQIbNReZo3aS++0l1yXtO0Sj0XCkH33dI1ZtZ9C5IQCJ6IS5r/gJIQQwr9Im79KCF/Qtm3blGrDzNnGfJLMg8YcX7yxZ+eGsEgDc46lh9PReP75563jOGjQICvIwJzB7Ij83//9X8p8cgo7ViNGjLD8bBwMdofzZCGK119/Pd3vsmiGJ6hfv76JbCxcwc6vg1Owj6StGJzXfcG89t4gu+JgRpWF09s3hIVE3GHlaOcal92CJNnZflcGF9dv7+S0Sy/Xf3YqVzMnNXMEdu7c2TrvzJXNAnzMNfftt9/meJ2FEMGN2susUXuZ/+1lTttPIXJCgRRRRfBz8tRJHE44ioTEYzielIhjJxJxIukETiUn41TyKSQnn3I9P3X6kX+fOmWfjTsclzKfb6f+jkJhhZGYlISQwoURGhKKsJBQRISFIzIsAkXCIxEVHonIcNdzvsbPFcLpBoZVDU/Piw1fdEQRFIuMtvmI4GbSpEm+XgUhhAfgjTcLJ3Tr1g3vvvuuFcVg4TNCcSkr4Z9VzfldVp115+DBg7kqJkeRi51RdqRY+CctdMqweu8555yTaWenWrVq1u7RnePupmHHNzvQPcOCQyzSwUrG2cHT+yKvOPuAbiQWFHFgAQ+uE9/PDdyfderUsaIgLF7BIirZIa9OT8clxaIpWR2XGS2LRV7YmWdVZXc3GUVUIYTIDLWX6aP20vPtpbvL2f23Y5EqwiKKQniL/8pICxFAJJ1MwoGjh7B573as2LYWa/Zvwd9LpuL7GaPx8fjv8MaYz/DJhO/x9dTfMHLmnxg1bzzGLpqMvxdPwbgl0zB+6QxMXDYT/66YjSkr52DaqnmYsWYB5m9YhtW7N+HhT563af+xOBw4Goejx+MRl3AE+48cxK5De225q3dswKJNK+x7nNeYBZPw8+y/bHk/zBzjmmaMtnXiNGLaKAyb8IOt2/t/f4Nvp43CuCXTsXjzSuw8uAcnTib5ercKIYRIh65du5rbhjf4x44dM5GKr7FSLlNQpIVpg9w7lWmdDiNHjjRHSk7hsi6//HJz+mQUCs73Oe9PPvnkjPcSEhJw9OhRe96rVy97fPvtt1N9htuYHbichg0bmkNm5syZ6X4m7XZ7cl94gt69e6e7zY4rKS+V6J9++mns3bvXwkhPnDiRLfcLO4/sjOYWurwYsk8HU3rLdD8unY5q2uXxN2KH1D10lGGR7lWqhRAiI9Repr8ctZeebS/J9u3b8csvv6T8HRcXZynB6DhOLxpDCE8hO5zwW5H0UMIRHDhyCAfj43Ao/rA5Sw8fO2piZvzxhJTP2qjYvo04uSXM3J4OoSEhiAovYq7RiLAIhIeE2vvsHIQUCkHhwoVQuFBhFKZb1B4LIyIsDOGhYfb5CD6GhiM8LBzhIWHmbqXQyXWjY5Uu14TE4zYdO+F6fuzEcfscscJtp9eFz7meR44fRdLJkybKctq2f2fK+nLdSkXHoEzxUihbPBZlY2IRE1XM485VhS2IgoaOeeEJHnjgAfTv3x+ff/45hgwZYnng2DljKCBv/Om2oSNjxowZFnpGd4vjQHnmmWdwww03oEOHDliyZIm5URx3Tk646667rMNJJwtdLe40bdrUpmuuuQY//PCDrePEiRNx9tlnmyC2cuVKe50OQ4ZespNx5ZVXWsg2c9lx3caPH2/OjuxAVxE7LxTuuB8uueQSdOrUycQ5dvJ+//13bN68OVXHypP7whM0a9YM1113HT7++GMTE7t06YLZs2fjiy++sLBUuoByC8NZGZ5IVxbnOWDAAMsRx045X2d4KXPBOXnZSKtWrfDBBx9YPlKGt1J8yCi/aXpQQOX3eQy0bNnSlsmcePwdRo8ebccC3WHOspxjir8hO+z8PH8vdorPP/982wbmBOSxzvVZvHhxrveHEKLgoPYyNWovPd9eEqZCuPHGGzFnzhyrb8OcvDyuFDkhvI1EVOEXAsfewwew/cBu7Dy4GzsP7bW/s8r3QpG0WJGiiAqLxLFdcWhfpwVKFy+J4lHFUCKqGKIjovyuCAK3NeHEccTFHzZX6+64/dgdtw+7D+0zUZbbzWnFtnWpvsdtKV4k2raX4mqlkuVQqVQ5hBTOfr4bNuAkPj4+23lqhAgGeMy7nwNC5AZ2ehj69+qrr1onkK6SuXPnYujQodZRZNEIil4tWrSw4pUOjz76qHUEmE/y+++/N3GLghbDHHMKO4Ts4N17771nvPfUU09Zp5ADcnQNvvHGG+bIYMctKirKOl533313Sv41wg4HRTZ2zPgdCnZct+zmgeO8mOeN7hwu588//0RiYqJ1Ztq1a2fr5BTN8PS+8BTDhg2zfcPfkNtA98ojjzxi655X6Ahlp5nCJfc1nTZsf7nf7rvvPuu4u7tleNywOMfLL7+Mw4cPWyc1JyKq0xmtWLEiXnzxRXNfsTAUc/Cxw87OuPvxfOedd5q4wFyBvD9hx5XLY/gov88QWHZkX3rpJXOjSkQVQmQHtZdnovbSs+0lYRqAd955x0R7plZge8V9lVHuXSE8RaFkWXSyDS3irBjNEajsVjhNCy3qY8aMMUt8Qe3Qu0TT/diybwc279uBrft2moCYFjpCS0QXR8noGBNFi0ZGo3iRoih2WkwsEhZhIqmn9ykbtMcee8ye/+9//0N4eDjyY58cORZvguqe08IqHw8nHMkwzJ95WOtVqIEW1RuZezW7oS0cPeSNC28SMhKZzTV75IglhHd393qc5FMAnbuckk+m/9z+TuJKuT7v+qL9c/1XyHLPuqbCbo8hrkcKzfaa298mPjvvuX3Gi+TbPi1AZLVPeV5RQKWTipVDWSDFG9d1IYQQQgghRP7AnKeNGzfGH3/84etVEQUQOVGF16GQQUGQoqlN+3fgWOLxVJ9hsaYKJcuiQokyKH96Yhi7L5ykFGU5curkaMkPEZXb6RKHo1GrXNUznKsUU5nG4ODROOw4uMdyslJ4XrRppU01ylZG65pNUK10pUz3mTOCR1EpM2y5CQk2Apjj34DjMqlE0KTTf1MEpSB6Wgw1p3HuKm16B0d8daY0f5v4GgYwtYIJsjnbL3napyJP+5QCqnIjCSGEEEIIIYTICxJRhVdg/tL1u7dgw+4tJpwyV2hal2nFkuVQJbaCTeVLlM5RaHpBgcJQVHikTeViSqdy4G3ZvxMLNy7Hmp0bsWH3VpsoPjOtAYXY9EQlvkY3Hp2o6SXuduB7kydPRufOnTN39yYeBbYvAnYtB/auBfatAQ5ucYmn2d9IIKIYEBnz31SkRJq/Y4CIGCAsEigceto5etpRymWdPA4kHQdOHANOJrrWy6YjwHFOh4Hj/Puw22tHXa8n/ZdfN9uERgIlqgKlawFl6wNlGwJl6gIRRfO+T0W2yc4+5evM9SeEEEIIIYQQQuQFiajCY9ApuXzrWqzasd5yfKYVTSuXKo/KseVRJbYiysXESjTNAwxdrla6ok10p87bsBRLNq/CzoN78Mucv01wbV+3BWqXq5aumEpRKTNhie8lJSUhMjIytTh18gSwaSaw+i9gwxSXgJoSYu8+g3CgeEUgptJ/j9FlgKhS/01FnMcSp8PrfQS36XgccMx9OuSanNfj9wMHNrqE4v0bXO7ag2uAjeP/mw/3c2wtoFIroNpZQNV2QNkGKduW4T4VuUb7VAghhBBCCCFEfiERVeQJVqpftWODCXhb9+9MqYJtjscSZVCjbBXUKFPZRD3lgfQOzBt7TuMOOKtOC8xdtxgLN63ArkN78eucf6wI1Vm1W6BO+Wq53/90d1I0XforsGY8cOxgmhWoBlRrB5RvApRrCJRvBBSr4PUcox4jJAyIinVN2YE5ag9uAvauAbYvBrYvdE2HtrpEVk6Lvnd9lg7byq1NVC1UsRVCTp6Z+1cIIYQQQgghRPZgsUMhfIVEVJErjh5PwKJNK7Bw4wocPe6qfE0Ymt+wcm3UKlcN0RGqAJ+fcH93adgObWo3w7z1SzB/wzJzBP8+bxxKFo1B21pN0bBSbYQyp2dWnEpCmUOLEfLraGDlaFfYuwPFxro9gdrdgepnAyUqo0DB/UfHKad65//3+pE9wPYFwJY5wObZrkfut3UTbeJe780UBPs+c+272l2Bii1d8xNCCCGEEEIIIYRfo967yHGu01lrF2HJlpVIOunKe1k0MgrNqjVAo8p1EBNVzNerWOBh/tRO9dugVc0mJqQu2LgMB44cwl+LpmDG6gXo3KAt6lesmX4hnt0rgbmfI3ThD+gQv/e/12MqA00uARpe4HJWKhXDmRQt4xKXORHmat21DNg8y6bkjdNRmG7VTdNd0/jnXPle65wDNL4EqHsuEKaBByGEEEIIIYQQwh+RiCqyLZ7OXLvQwvZPni4axHD9VjUbo26FGspv6qdiasd6rcyBunjzSsxZt9jy1v4xfwKWblmN3s27IDoyCjiRACz7DZjzGbBphn2X8urx0GIIbd4fIc2vcOX3VDqGnMFzokJT19TuZhw/loC/fvwYZ5U9hsitMxG9dTZCmXd1yc82nQqLxql6vRDSfjAKcX8HSjoEIYQQQgghhBCiACARVWRKYtIJE984nWAuSACVYyugQ92WqBpbIX03Y4BTpEgRLF26NOV5oMOiXq1rNjG3MH/H2WsXYeOerRj5z+e47ORaFF32I5Bw8D/hr14vJDW/Cn+tPoZefS5EiAr2ZAlzAfNcOXbiuE0Jicdw4GicFf06cPQQ9h89hAOHD2LVzi1YWawOCpfpjUKlz0f5I1tQb/8im4onHkThpT8CS3/EnqJVsbb6edhT4xxERZVAeGgowkLDEB4SZukY7O+QMESGR6BU0RImmAshhBBCCCGEEMJ7SEQVGYpCy7etxeQVs3HkmCvnaaVS5XB2vdZBK546sABTo0aNEGyEhYSa+F2/SAh2//EEam+fgtBkl6sYMVWA1tcBra4BildA8okTSF47xter7JfnxbYDu7B1307sPLQHRxKOWn7g+MSElPQWGXEqOdkc22WKl0KxIkURFhqKQqiFDUkdsOzYURTduwL1tk1Gg73zUebIZpRZ+gkOrvkJ0yqdh4WlWyK5UMZO4CLhkYgtVhKVSpZF1dIVUalUefu9hRAikHjvvffwyiuvYOfOnWjWrBneeecdtG3b1t5btWoVBg0ahE2bNmHIkCF4/PHHfb26QgghhMdRWyiEf6Nedj5TaO0ElDs4H4VWhwCh3P2FXGG7LDgTGgGEhgMhfIwAQsJPvxb53+usJO5lAZMh38yfSbciYZ5T5tGsV6FGUIunQc+xOGDiSyg14wOUOuVyFW8tWh1zK5+Ldr3uR4XYCr5eQ79OZ8Hcssu2rkkZVEgPiqRFwiMQGRaBEtHFUSKquD2Wio5BsYhoTE6ehD4d+yAsA3fvqVOnEH9gK07N+RxR879Aifg96LN+BDrvn4nVTW/AjtJNzRFO12vSySRbF56vdL5u3bfDJuYs5npUKFkW1UpXRLXSlSz1BgcHhBDCX/n+++9x77334sMPP0S7du3w5ptv4rzzzrMOY9myZXHHHXfg6quvto4kO47du3dHhw4dfL3aQgghhMdQWyiE/yMRNZ8J+WUIzorfB6zJw0xMYHUXXMNPC62nhdeIokDRsqenckCpGkDp2q5HfiYTl93izavw74pZOH4iEaEhIeZcbFWjcfYqugcJiYmJeP755+35o48+ivDwcAQ0ycnAoh+Av54ADu90vVarG5I634tZe+Kxfs9W7Jg/AVd37IdiRaJ9vbZ+RXziMcxYPR8LN60wgZNQIK1WxiVMUiCNjoiycPqoiCLm/sxooOHEiRNZDkJQ6CwaWxU4/0mg+/3AjA+BKW+g2MENaDX5SaD5AKDPS0CRkinfoaDKlAF74vZjy74d2Lx3uwmrjqg6bdU8RISFo0psBVSNrYjKseVRplgpiapCCL/i9ddfx80334wbbrjB/mYHcvTo0Rg+fDgefvhhHDhwAK1atULTpk1RsWJFHDx4Og2NEEIIESSoLRTC/yk4ypifkFyhKQ7u3ISYmOIobOV7kl0iF8Oqk44DSYnAST4eB04muh5PuwZTsM8dB47ncOEUcGJrA5VbnZ5aAxWaASGhJpr+ufBfrNm5MSV0/7xmnRFbtAQKGhS7hg4das8feOCBwBZRKZr+NARYO8H1N4X0Pi8D9c6zk79v1UR8O+137D18AL/PG4crO1wgcY2n2MkkzN+wzFydzHHq5AJuVaMRapatkj+DCuFRQJd7gTbXARNfBmZ+BCz8Dlg3CbjwTaBBb9fHQsNQLqa0TY2r1LXBEOZj3bxvOzbt2WaPxxKPY+3OTTYRiqqVSpYzQbVKbEUThOUyF0L4cvBy3rx5eOSRR1JeY1vUo0cPzJjhKnj4zDPP2N8JCQno27evOXOEEEKIYEFtoRCBgUTUfObk1T9i8pgx6N27Nwpnt2DPqdMCq4mriamfn/HacVfY9tE9wJHdQNwOYP96YO864HgcsHeNa6IYQyJjkFi1PeYWKo2dRaojpEhpdG7QBi2rN5KYFuisnQj8MAig85lO5a4PAGffCYT9V4SIYtrFbXriqym/YvuB3Zi5dqG5jwsqFCBXbl+PKSvn4FD8YXutbEwsujZoZ+5TnxAV63KfNr0U+Pk2YM9q4JsBQLubgF4vupzoblAMLVU0xqbm1RrYNu2O22fpOZjLlTldOWiyfvcWmwgdyPUq1ES9ijUlqAoh8p29e/fi5MmTKFeuXKrX+ffKlSvtOe+b9uzZg7i4OJQpU8ZHayqEEEJ4B7WFQgQGElEDAVZMpysNnHIJ3a4UVXcsArbOc02bZwPHDiJ89VicDdiUWK4JwoseAIpHAqXreHIrRH7B33rGB8CfjwLJp4DyTYDLhwNl66X7cYakn9O4PUYvmIQZaxagVrmqKBUVg4LG1v078e/yWSYmk6KRUehUvw0aVqrtHwMKVdoCt00FJjwPTH0LmDUM2LEUuPJLoFj5DL9GQdRxqrar7cq7uufwfhNUuc2b9m6znK9z1y+xiYWv2tZqaoIqc6sKIYS/EBERoU6jEEKIAo3aQiF8i0TUggKdZcXKAcV6AnV72ktLN63AwhnfourB1ah/dD3KHFyD8F1LgH84DQXKNgCaXAq0uBIoUcXXWyCyK6COfRyY9o7r7+ZXAhe9lcp9mh4NKtXGmp2bsHrHBvy9eCquaOcKFS8I0HH674rZWLV9fUp4fJtaTdG6ZhN77lfwdzzvGaB6B2DkzcDmmcD7nYErvwKqtsvWLCgIO6Jqq5qNLXXBhj1bbfsZ7s/cqhTUp66aZ/ugWbX6ElOFEF6ldOnSCAkJwa5du1K9zr/Ll894kEgIIYQIFtQWChEY+IG9SvgC5nv8c/FU7IiuivizbkfsPTNR6KE1LsGtzjlA4VBg9wpg/HPAa42B4Re6UgAwXYDwT1j46Nc7/xNQKbZd+mGWAqrjVuzRuIOF9+88uAdLt65GsMOCTFNXzsXwSSNNQOQ+aFq1Hm7s1t9SGvidgOpOvfOBIROBsvVdeW+HXwCs+itXs2J+1zrlq6Nvy+64pceV6Fi/tRXJorg8ful0DJ/4I1ZsW2dpAYQQwhsw9zgLZYwfPz7lNbrm+Xf79u19um5CCCFEfqC2UIjAQE7UAsiSzatMHCF0mnVt2M6VA7FoGaDNDa4p4QCwYoxLOF3/L7B+kmuiy7Htja6paFlfb4pwoMA16l5g3peu9A/93gVaXpWjWURHRpl4OHHZTExdNRcVThZFsLLjwG6MXjDRCjARVq7v3qi95T8NGErXBm4Z78p7SwH1myuByz8FGl+c61kWCY9E+zot7LqwdMtqzFi9AAfj4/DH/AkW6t+5QVtUK13Ro5shhBDk3nvvxXXXXYfWrVujbdu2ePPNN3H06NGUCsVCCCFEsKO2UAj/RyJqAYPh2n8tnnKmgJqWIiVdIhynA5uABSOAuZ8DcduBCS8A/74GtLoG6PawK02A8C1/PwXMGe5K23Dpx0Cz/rmaTYvqDbF48yrsObQP6w4cRDBCcZDnAEd2WVCJ4imdmAFZTCmiGDDwW+DHwcCSn4DvbwCOH3Gdm3kgLCTUjoVGleuYeDpn3WJzKP8wYzRqlq1ixefKFA8gwVkI4fdcccUVVizjySefxM6dO9G8eXOMHTv2jAIbQgghRLCitlAI/0ciagGCIsiYBZMsLJdhyxkKqGkpWQ3o/jDQ5T5g+e/A9PeBLXOA2Z+6xNUOtwGd7gYig6MYUWRkJGbPnp3y3O9hgaEpb7qe93sv1wIqYe7LzvXb4KdZY7Hh4HYcORaPkmHB8bsSCoJ02pK6FWqgZ9OO5r4MaELCgP7DgPCiwLwvgF9udzmTW1+b51kzpQHdyc2qNTBX6qLNK7B+9xbLodq4cl10qt/aHMxCCOEJ7rjjDpuEEEKIgoraQiH8G+VELSAcPRaPX+b8jRMnk1CjbGWc26Rjzp13FGtYaIohxDeOAaq0AU7EA/++CrzeHFj0g0u8CXCY0LtNmzY28blfs3YC8Mf9rufnPA60ujrPs6xVrioqliyLk8mnMGvtQgSTA9URUFk46sJW5wS+gOpgKRzedg1okN/uApb+6rHZR0cUQY8mHXBDl8tMfOZAzJItqzBs4g+YuWahFacSQgghhBBCCCGCGYmoBQCGLY9eOMlchbHFSloBGVbozhM1OgKDx7lCicvUBeL3ASNvAr4ZABzd56lVF5nBNAsM304+BbQYCHR9wCOzpbh+dt1W9nzJ1tWISziCQGfb/l34e/FUe96udrPsu7ADCW5PrxeAVte5jgmejxtduY89RamiMbiodQ8MPPtCVChRxopzTVk5B59N+gkb92z16LKEEEIIIYQQQgh/QiJqAWDWukXYtGeb5Tmk+y4yLMJzok3DvsDt04EeTwAh4cDKP4F3OwCbXI6/QCQxMRGvvPKKTXzulyQdB0Zc6yoAVqkFcOGbrt/DQ7DQUmyRGBPgGQIfyBw7cRyj5o/HyVMnUadCdXSq3wZBC4+Bi94EGl4AnEwEvh0I7Fvv8cVUKlUOV3W8CH1adEXRyCgrPjVy5p/4e/EUHD/hp+eMEEIIIYQQQgiRBySiBjm7D+3D9NXz7XmPJmejdLGSnl9IaLjLBTlkosuVengHMLwPMO9rBCInTpzAgw8+aBOf+yXjngW2L3AVABvwFRDm+bD0OiWr2OPiTStx9HgCApXJK2bjcMJRlIwujt7NuwafAzW90P7LPnGJ6/H7Xe5wFpvyMNyPDSvXwY3dLkeL6o3stUWbVuLzf3/C5r3bPb48IYQQQgghhBDCl0hEDWLovBu7aLK5CenAY6Vtr1KhCXDrv0Cji4CTJ4BfbgMmvRoUeVL9inWTgKlvu55f8j5QsqpXFlM6qgTKxZS2PLoLNixDILJp73YT9sh5zTpboaQCQXgUcPX3QLHywO6VrhypXjoPuU+ZL/Xy9n0QE1XM0j/8MHMM5qxbbLlThRBCCCGEEEKIYEAiahAzb/1S7Dq0F5HhETi38dn548ALjwau+ALocrrY0bhngH+GSkj1FMcPAz+fLh7UZhDQoI/XFsXjpU3NJvZ84aYVAVc8iALepOWutBKsLs8UBQUKCqgDvgQKhwKLfwTmDPfq4qqVrojru1yKxlXqnt73s2wQh4M5QgghhBBCCCFEoCMRNUg5cuwoZqxZYM+7NTwL0ZFR+bdwFq0690ng/P+5/p78OjDplfxbfjDz91PAoa1AyepAr9P714vULlcNxYsURULiMazc7vncmt5kxba1ls4iIiwcHeu3RoGk2lnAec+4nv/5KLBnjVcXR1fq+c06W+oQFq9bumU1fps7ztzMQgghhBBCCCFEICMRNUiZunKeVc5mBW2vh/FnRMc7gd4vup6Pfw6Y9Ylv1iNY2DgDmDXM9bzf2y7Xr5ehENa8egN7Pn/DsoAJz6Zrduqqefa8ba1miAr3fM7YgKH9bUDNrsCJBODHm1ypNrwIHcwtqjdEv9bnWjG7dbs244cZoxGfeMyryxVCCCGEEEIIIbyJRNQghO67pVtX2/PujTv4tpBOh9uA7o+4no9+EFgz3nfrEsjQyffHfa7nra4FanXNt0U3qVofoSEhlhpi+4HdCASWb1uLQ/GHER0RhZY1XEWPCix0hl/6ARBZAti2AJjxQb4stla5quh/Vm9LJ8Lj5vvpfwR0gTIhhBBCCCGEEAUbiahByLTV88wxWL9iLVQsWdbXqwN0exhoMRBgbsTvrwf2ejekOCiZ8ymwcylQpCRw3tB8XTRdnDyWyNItq+Dv8Nifs26JPW9Tq0nBKSaVGTGVgF7Pu56Pfx44sClfFlupVDlc2eECFCsSjb2HD2DkzDFypAohhBBCCCGECEgkogYZdAuu3bnJ3Kcd6rWEX0An7EVvAVXPAo4dAr67Hjjhv0JKZGQkJk6caBOf+5yj+4Bxp/OfMtdsVGy+r4KTEmLVjg1+n9+S4eP7jxxEZFgEmlat7+vV8R9aXgXU6ASciAf+OF34LR8oXawkLj+rj7mC98Ttx48z/7Qcu0IIIYQQQgghRCAhETXImL56vj02qFQLsUVLwG8IjQAGfAFElwZ2LgH+PB3i74eEhISga9euNvG5z/n3VeDYQaB8E6D19T5ZBVa2j4kqhuMnEk2k92dmr1tsj82q1beiUsJtMOPCN4GQMGDVX/maWqNU0Rhc3r43oiKK2EDPT7PG2rEkhBBCCCGEEEIEChJRgwiGyzou1LPqtIDfUbwCcNknLjFn9qfAqrG+XiP/h2HXTkEuVlkv7BtRl8dUw0q17fnyrf6bjmFP3D5s27/TCmIV+Fyo6VGmDtBusOv52MdcKTby1ZHaC0XCI7Hj4B78MudvKwAmhBBCCCGEEEIEAqG+XgHhOVg9ndQuV82/XKju1DkH6HAHMO0d4Ne7gLtmufJ8+hEnTpzAxx9/bM8HDx6MsDAf5tQc9xxwMtFVXb12d9+tB4CGletgxpoF2Lh3mxUIio4oAn9j4aaVKedA0choX6+Of9LtQWDBt8Cu5cC8r4A2+eduLlM8Fv3P6oXvZ4zGln078Mf8ibiw1TkmegshgpOkpCTs2rULu3fvRlxcHI4cOYLDhw+nPLo/P3r0qH3+1KlTNo0ePRrx8fHo37+/XSecKSoqCkWLFkWxYsVSHt2f87F06dKoUKECihTxv7ZKCCFEweLYsWPYsWMH9u7dm2775/4a2z2nHeQ0cuRIm4d7W8hoyejo6EzbweLFi6NMmTIoX768b/uzQgQZElGDBOYYdByCfu/A6/G4y4XKAlNjHgEu/RD+RGJiIu644w57fv311/uu0eH+WexqNK2YFB28PoQh2eVLlMHOg3uwftdmNKlaD/5EYtIJrNi21p43r9bA16vjv3DQgkIqz71JL7uKvoXmX9qDcjGl0a/1ufhp9lis2bkRfy+eivOadTK3sxAisKDouXbtWqxfvx7bt2+3DqIzOX/v2bPHCv6VKlXKOnQZdfhKliyJypUrIzQ0NKWTyLzkCxcuRJs2bewawc7kyZMnrYPJDue2bdsyFGT37dtngmxMTIyJqRUrVrRHZ+LfVatWRd26dREbG6trkBBCiFyxf/9+rFmzBhs3bky3HeR04MABEz7Z3mTUDnIqW7asDRS6t4UcgGS717p161RtIdtgtncZCbP8HteNbTDFVPc20L1drFGjBurUqWPLF0JkjUTUIGHx5pVW8KdsTKzlr/RrwooAl7wPfNLT5YhreQ1Q42xfr5X/8e9rQPIpoH4voJJ/pGeoVa6qiajr/FBEXbl9neXZLBldHFVLV/T16vg3bW4EprwFHNoKzP8aaDsoXxfP36dvy+74be44LNmyCkXCI9ClYbt8XQchRPajM9gxXL169RnT1q1bTRitWbMmKlWqZJ0xPrKj5y5alitXDuHh4bla9pgxY9C7d+8cD2iyk8mOZXqd2WnTptnfmzZtsr8p4FJMTTuxU0mnjxBCiIJNQkKCDRqm1xayraH4Wb169ZS2j+1Hly5dUomWFDJzU2/jzjvvzHVbyHaUkSBp20E+X7JkiT1yIPTgwYO2jmnbwXr16pnImps2XIhgRSJqEMDRpSWbV9nzltUbBYabomo7oNX1wNzPgFH3ArdPdRW8ES72bwAWfe963vVB+AsMk5+2ah427tlqon1YiP9cQpZuWW2PTavWD4xzwJeERQKd7wVGP+gqXNby6nx1o5I65aujZ9OO+GvRFCsGxlypbWs3y9d1EEKkhk6XRYsWYd68eSnTihUrzAnDDqHTqRo4cGDKc3Yc/fGay3XmunFq1izjawvdOnQQOZ3hlStX4vfff8eqVavMxVOtWjW0atUq1cRUAUIIIYITujfnz5+fqi2k0EjHKEVFp/3r0aNHyoBbiRL+mUqPoisHNzllpiUwesNdGJ45cya+/PJLax8pxHK7W7ZsmdIOtmjRwvaHEAUR/1FARK7Zun8nDhyNs0rk9SrWRMDQ80lg+e/A7hXArI+BDrf7eo38h6lvu4r+MIds5VbwF8oUL4XiRYoiLuEINu/dbs5Uf+Dg0Ths27/LVQCrsqsAlsiC1tcDk99wuVEp2Le6Jt9XgYL3scTj+HfFbJuiI6PQqHKdfF8PIQpqfjb3DqIjmFIgdDpJF110kQmQDHvPjXsmEGD4IjuGnNJ2KpmKYOnSpSn757PPPjMnUpUqVVKJqm3btrUQTSGEEIEFHZizZ8+2a7wjnG7YsMHcl7y+s2246aab0KRJE8st6o+DhnmF28S2n1OHDh3OiOrYsmULFi9ebPtm/PjxePnll7Fz504TVtMOMip6QxQEJKIGAcu2uHKh1qtQA+GhAeTmjIoFzn0K+O0uYOJLrtyMflZkyifE7wcWjHA973QP/K2RrVWuGhZsXIZ1uzb5jYi6/HQu1GqlK6mgVE7cqB1uA/56Apj+nsuN6oMbQ7pP4xOPYc66xeZKLRYZrXQMQnhJNKWzZNKkSTbxOZ0zTsfnkksusUe6VYKxk5hTuA/oYu3evbtN7h3uBQsWpHS4v/rqK3PqNG7cGF27drWpc+fOcqsKIYQfwtykU6ZMSWkLGX3BMHy2f0xFc8stt5hwyjzewhXVwYgMThdccEHK60wJ4LSD3I+vvvqqDTxyUNFpC9u3by9RVQQlElEDHBbTWbVjvT1vVKUuAg4KNzM+cLlR/30dOP9ZX6+R75nzOXAiHijfBKjRCf5G7fJVTURdv3uLOXV83dnmOjgiaoNKtXy6LgFH6+uAiS8Cu5YD6yYCtf8TCvKTLg3amrt51fb1lid1YMcLEVvUP8OihAhk0ZSdwm7duuGqq67CJ598gtq1a/v8Gh5oUHjmPuTkwI7j5MmTbT8/9dRTWLZsmURVIYTwU9GUIfi8Nj/00EOWt5QOU5EzmD+1b9++Njn9MeZPd/bzoEGDzK0qUVUEIxJRAxxWt6aQWrJoDCqVLIeAgzk1WXn+q8uBmR8CZ90ClKiMAsvJE67UBoQuQT/s3FYqVR4hhUNwOOEoDsUfRono4j5dHxa6OnDkkOVnZZ5NkQOKlHANZMz8CJj2rs9EVIo4vZp3wZFjRy0tw8+z/jIhNTqiiE/WR4hAhSF3o0aNsmnixIkmmrLjItHUu7BYyKWXXmoTYREPR1R98sknsXz5cssfd+GFF5qTh8/1OwghhOehmMc0LGwHmd96zpw5lrOUbeGDDz6YUuxJeBa2aUyBwOmGG25IJaryfoSv7dq1C506dUppC1mUUohARCJqgLN6xwZ7bFCxVuDekNc9D6jeEdg4FZj8GnDhGz5dnYiICPzxxx8pz/OVFaOBuO1A0bJA08vgj1CsLF+itIldW/bt8LmI6pwDNctVtbzAIoe0v9Ul3K8ZB+xbD8TW9NlxdVHrc/Ht1N9xMD4Ov839B1e072OCvRAifdhJYSgdO4rsMDJnWceOHa1z8sYbb1i+soC9NwhgmAbgsssus8kRVf/66y/7nRjySDcrfyNOdLRGRkb6epWFECJgSUxMtIErRzilWNezZ08MHjwYP//8MypWVJoofxBV161bhzFjxtjvdP/996N+/frWDlJUpWOVqQOECAR0pAYwx08kWpV0UrdCDQQs7OB1f8T1fN5XwEHXNvmK0NBQ9OnTxyY+z1fmfu56bHUtEJrPAm4OqBJbIaWomS9hg7xm16bAPwd8CUXT2ue4ns/70qerQufpJe3OQ2RYhIn0E5fN8un6COGPsErun3/+iSFDhliBI4pwrCh/7733WseRro/77rvPOicSUP1HVL3mmmswcuRI7N27F59++ql1FvkbMsyfDtbPP//cwk6FEEJkTVxcHL799lsMGDDAogGuvfZaS2Pz7rvvWqX5X3/91ULKJaD6B7wfYTTMXXfdhX/++cfawscffxybN29G7969zR1844034rfffrPfUQh/Rk7UAIY5KZNOnrRQ/tLFArwgU81O/7lRp7wOXPA6ChwHNrnyUhIfVErPCZVLuXIH0YnqS/YePmCh/KEhIahRpgCngcgrra93OVHnfw2c8xgQ4rsCdcyF2rtFV/w8+y/LvVuxZBk0rFzHZ+sjhD/AAaMZM2bgm2++wffff4+oqCj069fPhDfm2wwPlws/UGCECx1SnN555x1zD9OVw44/C5pwAJfpF/goh6oQQqR2nNLV//XXX5vjlLlN2RbS1chiUP7mZGRl++PHj5so6Dxy4mBoUlJSqunkyZOp/ma7z4k4jxxAdQRJTjT7ZDSFhITYvQHbEWdi+8PJHwZYY2JicMUVV9jE7Z02bZr9phwQpgjev39/awt5j+Nvv6sQElEDGCeMuV6FGn5xMcwz3R8Ghvd1uVG7PewKafcBbNjYUSW8eIeF5ZOgRAGLjWTNrkAp/3ZVVixZzho05kRlQaDiRYr6ZD3WnnahVitdSaH8eaF+L9f5dmQ3sGos0PC/6pu+oFa5qmhftyVmrJ6PvxdPRelipVA2Jtan6ySEL6DDlO0RJ1aFZ6fil19+wdlnn61ORRDAe7dmzZrZREfOmjVr7Ld++OGHzZHDdAC8D2EOP/3eQoiCCAXE6dOnpwwiFitWzK6LrAzfsGFDn69bfHw8jhw5YtPRo0dtchdOSVoxk33LIkWKpCt8Os8doZQkJCSYyMi2gO9xuRRo0wqvaSeuEwVJd/GW83TEVK4DB2WLFi2aMnH98ltX4DZx2zgx5c2sWbPs9+Y9D9fxyiuvxNVXX40mTZrk63oJkRESUQOUEyeTsGH3FnseNMV0WIm+citg6zxg1icuR5yPRjmZu4Xw4p0vIuqpU8C8r13P21wHf4eCZbnisdhxcA+27tvhM6fgmh0b7bF2+Wo+WX7QQOdpi6uAKW+4Qvp9LKKSDnVaYOfB3diweyt+mzsO13TuZ2H+QgQ7DMkfMWKEOW1YHIOVb19//XX06tUr//N0i3yFxU+efvppPPXUU5g9e7Z1IunS4e/OTiRTAqgTKYQoKIOIbAcZss9BxMsvv9xC9H0xiEjBkukDDh06lCKYcqKASkGTFecdEbJ8+fJnuD/zur5OtAkFz7z0Sym6ujtiOVH03blzZ4oATCHX2R4+UrSma5SP+SGuchlnnXWWTbz3Yeg/j4N27dpZOgCKqQMHDkTlyq4IxG3btuGhhx4yly5/D37ms88+Q+vWrb2+rqLgIhE1QKFwRSG1WJFolIspjaCAF+az7wS+vx6YNQzofC8QVkCqc2+aDsRtAyJjgPp9EAhUjq3gElH37/KJiHo44Sh2HdprjW2tchJR80zLq10i6prxwNF9QLRvnZ+84ezdohu+nvKrFZr6Z/E09G3ZLThc90Kk00Fj9doPP/zQwtk6dOiAW2+91XJlsgiRKFjwOscOI6fXXnsN48aNS+lENm3a1HKpUlBgh1oIIYIFCnwsBMW2kG5Ep0ji+eefn2+DiBQaDx8+bMKtM/Fv3peyPaa4yFzW1atXt+d0SgZKpAAFUrYbGbUd3Pa0ztoNGzaYgEwopnIfOI/cfm9uOwVj5kvlxN+AIjoHFxm5wWOCguoDDzyA7t27m4jK3LiM6ChZMsDTHAq/RyJqgLJxzzZ7ZB7IoBIVGl4IlKgGHNwELBgBtB2EAsHiH12PdACGBUYONEe83xO3zyfLd4qqlY8pbQWJRB4pUweo2BzYvhBY9ivQ9kZfrxGiwiPRt2V3jJg+Ciu3r0OtclWUH1UEFfv378fw4cPx0UcfmcOFRTCWL1+OWrVq+XrVhJ/ATiRdyJx4jFBMZbjjPffcY4VUbrvtNtSrV8/XqymEELlm/fr1JpzSQUgBjANFFFNjY2PzRbhlyDsLHbFNpmDI8HJHKGSEAJ/TlRlUfe4MRFY6TjmlHeilqOqIyps2bbJ83qR48eL2OzmTtyI4uU6MxuC0ZcsWDBs2zNLeMEUB3acUtVnEsUYN/06JJ4IDiagByobTAlK1YCumExIKdBgCjHnEFdLf5gaXQzWYOXnCJVqRppchUHBE1N1x+6xxze9R2E17XQMJ1YPtHPAlTfu7RNRFP/iFiEoqliyL9nVaYNqqeRi3dLrl4y0RXdzXqyVEnli0aJEVFWKYIkPOnn32WVx88cUK1xeZwo787bffbsIpcwR+8MEHlk+VhTfuvPNOc+uwEyyEEP4O+w502bMt/Pvvv3HhhRdaztNu3bwbdeQumnKiw9ERAimYUjilUzPYBdOcwD4e9xGnqlWr2mtMY+A4dik+M/0Qnavcf3TqcipVqpRXRNUqVapg6NCh+OGHH0xAffvtt82d6gjwzz//vMeXKYQ7geE9F2eEMe87fMAu7tVKV0TQwdyMDOPftQzYMhtBz7qJQPx+ILoMUKMzAoWS0cURHhqGpJMnse/IwXxdNhtux41drUylfF12UNP0UtegxaYZwIHN8BfOqt0clUqVx/ETiRiz8F+78RYi0OBx+9tvv6FTp05o3769dUpmzpyJyZMnY8CAARJQsyA+8ZilMRKucH/mBaQrlY4giqjsOLIzydBXdmSFEMIfYR5Ouk4bNGhgrsLmzZubE3XkyJEWlu1p8ZIh6rt37zbn5IQJEzB27FisWrXK3qtfv76FhVO4ZaqUSpUqFQjHqSfgPnJEVf6GPXr0QM+ePVGzZk1zhy5ZssRC7P/991+LsKFwzf6bJ2GqAeZMpSP1p59+skHFF154wdaBgjx/eyG8gZyoAYgTxlyhRBkUCQ+M0O8cUaQE0ORSV7X62cOBqu0Q1Cz52fXYuJ/LiRtAjWfZmNKWn5du1DLFS+Xbsrm8hMRjJuLSqSg8RPGKQPVOwIbJwNJfgE53wx+g2NSnRVd8MflnbNu/EzPXLkSHui19vVpCZAt2Jr777ju89NJL5tZgGDbznipnV9YDxht2bcaiXWuw698fcSjhCEIKh6B8iTKoGlsBlWPLmzOd7UBBply5cubAYWGNX375Ba+88gr+97//4a677sIdd9xhTiAhhPA1DJOneMqBHroUed1ibmdvDCCySDCLNLJgEgVUhuez4BNFUzpOA3HQ8lRyMtbs3Ihl29Zi58E92BO33/pDew7vt+cnT520NFhREUUQFV4EURGRiIkqhnoVaqJh5dqoX7GW1/tqzA9LlygnkpCQYG5f/gYslui0WfwtGHrP3yWvg9OM5nGcp5dccokNKFIof/DBB/HEE0/YI8X6QPzNhf8SOIqNSOE/B14QhzEzFypF1KU/A71fAKKCtBNAV82qsa7njfoh0ChbvJSJqCzw1Cgfc1U6AwlVS1e0TrXwII0vcomoy0f5jYhKeCPYo3EHjF4wCTPWLEDNslUQG62CO8J/YeeB+d0oajHEmjfyzGHJar0idScoKSkpZVqxfR1mrV1kBeUoQO+I24lTe0NTwtTXJ8Rj464tNrjC1xiNcF7TTnaNKMgwZJKCRP/+/S1Elm4cHnu33HIL7r33XlSsGISRS0IIv2fPnj1466238N5776Fhw4b45JNPLPWIp9OAMWcnRVNOHLCkS5JinZPTNNDcpcdOHMfcdUswZ/1izF67GLPWLET82GN5midF1IaVaqNT/Tbo3bwLapZzhebnh6jKtv7AgQP2+6xYsQLz5s0zMZ2/ESd+NqdUqFDBjil36EYdNWoUNm7ciBEjRuDFF1/EU089hfvuuw+DBw+2YlhC5BWJqAEGbfCb922350EZyu9QqRVQoSmwY7ErP2P7Ifm2aI5UMceK89yrMF0BQ/npvq3WHoFGSl7UQ/lbXGrTXuccUCi/x2nQBxh1n+vYPLwTKFYe/kKDSrWxdtdmrNq+3sL6B5zVx9erJMQZsPgPc1XSbcOOAcWsyy67LM+Oi0C5R6EDiOGazDvHR/eJr1EYdRdNnfC+k6dOYeWBjdh0aKf9zQ52dEgkapWohAqhpVGqSAwST57AniMHsPvIfuyNP4iEpOMWlvnvrKloW6kRKpcsb/uZbTfFamdy/5vPA6WScm6gUHDuuefaxOrWTmgjBXwK+Qz5F0IIb7N582Yrgvfpp59aGhsnnY0nxUwOVm7bts0KDVFEpSjHkPxWrVrlSpTzNWwPZ69bhB9njcVvc8chLuFIqvcjwyLQvFoDM5FQELWpmOsxLDQM8ccTEH/8GOIT+ZiAvYcPYOX29Vixba3VU6Fj9d+42fh3xWw898t75k7t3aKrCao0w3hTaGa76xSfatSokeVTpVuYvx9D/xk1UblyZRvwCw8Pz9Y8mdbGSc3gsHr1alSrVs0GFtnuXX311Rb9Q7cqozSYP5xTfhQtE8FL8N/RBxkHjsbZRZHuO4bzBy28iLcY6BJRF36XryIqO2B0cuQLK8e4HuueF1Ch/A7lYlwNEMNJ2PDnxygvRzJ3HNhtz6vEVvD68gpkSH/lVsDWecCKMS5XuJ/A46tHk7Oxdd9Oyws9bfU8X6+SEKlCFV9//XUTT5lbjS5UVlQPNPdLVvBaTzGUHVbm3uSjM8XHx9s1mu1oWhGTHSQ+Z8eG73Oik5SPRxLjMXrhJISFFkWdsnUsD3KbWk1RGIUwZswYcy2lLU5BAZYDeGMX/ovtB3Zj06l9KBlVFi2q1MSJxBMm2rKDTeeLI+JS4CXsXNONwon575zngVBMhG4uOkzp5qHjhkVZ2rZtm+5nmQOQeejYIf38889NzKC4+u6776aIqfw96dKhO4wFQtgp5SAA3VsOdHWx00l3DzvCl156qTnL5OgRQqSFgiaL/jBnM4tFTZkyBS1bei4FEwfitm/fjq1bt9r1jcJprVq1zJXorcrw3mbz3u34bsZo/DRrbErhXMesclad5mhZrRGO7TiEmy+/DlGRuROHjx5PMBPCwk0r8NeiyVawdeX2dTa9PvpTE1Fv73k1Lmx1DkLzoU9arFgxm9gW8Z6CYiqFdwqqDPWne5Wh/5kVS2R6pA4dOphAykgMpgz4+OOPbXJgm9WvXz9cdNFFlhOXzlSK+yzQ+PDDDyvljcgVgafaFHC2H9hlj+VLlM6XC5zPK4WPfQzYNh/YswYok3/h4vmGI6I26I1ApFTREggNCbGCPwy9LBkd4/VlclQ1MekEIsLCUbqYcgp6hQYXnBZRR/mViEqY7+m8Zp3w8+y/sGDDcsTGK8eR8C28+afoRIcD861RaGKhn2CARRnorOVEgY2PFE4pYFKIdARIdmKrV69uf1MozYnrljnexi6cbKGLzPPO/Mc1ylZJ6SxnBJdRMbYcrut2KSYtn4X5G5Zh1d6NiE8+jgtadkd0ZNQZ36HAy9/LEX/5yHxtDPtzijFxGxgGyvBPVhnmlF1XjLdhoQyG5jOvYLt27fDmm2/ivPPOMycOO51pmTRpEq688koTWvm7MAchHTmNGze2QhzMF/fFF19YZWM+1qhRw17jPFkIxEk9cdVVV2HHjh1WwIO/yQ033GBhkd9++60P9oIQwh+hoEnn+/vvv2+iFQdx6tat65F589pN1yKFUw4gUXyja5HibCA6Th227t+JN8d8hu+m/4GkU64iSNERUejbshv6t+tl+f8pAvK6ywHFsDz0/aMjiqBljUY2Dep6GQ4ejcM/S6ZhzIJJmLh8JpZtXYPbhj+FF3//CLf2GIgBHfrmW+0VDrQyYoIT22b+zmyDFixYYM5U/ta8z0g7yNmmTRvLBf7II4/gmWeesTaM7SLbrLTwu+ecc45NFFvZ1nF5FFKZQ5yDqEJklyBX4YIPFlUhlUqWQ9BTtAxQ+xxg9d/AwhHAuU/my2LZOeQFmVx88cXeC8GkMLx3LRAS5trOAISO6NLFSlmCc4qb+SGibjs9kMCCUv7uGApYGl4A/PM0sH4ycOwQEOn93zUn1CpXFU2r1sPCjSuwcNdqXHEiMWDdByKwBcZvvvkGTz75pIludPrRMRmo1yVHMKVY6gimDLfjueUIinQnOu5NT7SNc9YtNgGUVCpVDn1bdkfxIkVz3A6d07iDFZn6e/EUbNm3A19O+QVXdbzojHmxM8oONyd2yNJ20umkZQeOrmJuPyvf8zV+3hFUfSms0ul88803m4hJKKaOHj0aw4cPt45gWnh8phVhWdDs0UcftU6k40ZlUSq6dMiXX35p7p9ff/0VAwYMsNx1LNIxZ84cK+BBKMryWKebR7lWhSjYcACKwtXLL79srsDp06dbtXZPzZvXYToUef2mmNalSxdrcwMZ9pve+vMLfDPtNzOGkI71WmPg2RfgvGadTfD0NiWii6P/Wb1sOnD0ED7/9ycMmzjSXLGPfPcqXh39Ke487xrc1O3yfDVu8R6DA9L16tWzexE6m+fOnWv3HBysrVq1aqp0e3379rUpJzB646+//jJnKttOtmmMyGDbqv6EyA4SUQOMbafDmCuWKgAiKmk+wCWiMi/qOY+zB+T1RdKlwpAAws6U10TU1X+5Hqt3BCID92agVNEYuxnYf+RgvrqxK5Q403UjPARd36XrAHvXAOsmAY1cnWt/omvDs7B+1xbLkcjCZkWjon29SqKAwPBnClcUoii2Pfvssxg4cGCmIWf+Kpqyg0InJieGbLO9o0BI0ZT5XPmcAqI3hGHmtmZeNtK6ZhN0btAmT4UCG1SqhbIxsfh1zj/WHv0xfyIGtO+T7fyn/JwT1s9td2AKAEdU5qMjrHIfMacaxVg+eltU5XqwEAcdN+7r3KNHD8yYMSNb8+B609FEJyo7jj/99JPl66U4y+2+9dZbbbvocuU8KaLykceBI6ASLpPLZs5VDjYLIQoevJYMGzbMHIAUtpjztGvXrh5pY+k2ZYQAi1LxekzHaZkyZQJ2kNIhPvEYXvtjGD6dONKiL8jZ9VrhoQsGo23tZj5bL5pg7uk9CLf0GGiu2A/++cYGJJ/+8W3Lz/rKVQ+jRfXUBZy8DX9rDvpxYpvFaAgeEytXrrRjgq5Ttr15OSa6d+9u7RjbwsceewyvvfaaRRUxZU2gH2vCu0hEDSASEo9ZHkBCx0WBKXITXhQ4uBnYNg+o0gZBA8UpUqcHAhnHfbr/yKF8Wd72/btTXEvCi9Q91yWirv7HL0VUpnPo06Ibih8qbAn2hcgPZs6ciQceeMBu4hkaPWTIEO8XIPQQTmVcd9GUjguKgHQTMo8rhbT86DgwN9uYBROts9ykSj10a3SWR+YbW7QELm17njlRGbkzfc0CdKzXKk/zpDjKUHn3cHnmV2XoKvcjQw454Erx0RFU+ehpNwuXReGbLlF3+DePx+xAxyl/a4qghDkECXOkMs8q3WQcFOC2UsQgfEybKoBiO/PIOZ8RQhQceN3+8ccfbSCRg4fM08zBlLy2HRwo4iAVhTK2V3Qd0tEayOH67sxdvwR3f/Es1u3abH+3qdkED114CzrW/2+Ayh9SZjHU/9pO/UxMfe6X97F0y2r0eekme/3hi25B0cj8Ny1w0I4FwzixveUxwmgKHhsUU+lQzq3picctBxOZgoK57O+++2689NJL1iZ6YlBABCcSUQMIFk4gJYvG5IvN3y8IKwLU6wks+RlY9nvwiKgnTwAbp7me1wrsCzTzohKGgnibo8fiLfcqGzw5Ub0Mxf3p7wNrxvGO2VXszc9gcb2i4cphJLzP7t27zbnHcOj777/fcpMxJ5u/w04p151iF/PJscNLkS+/RdO0HfA/F07CkWPxiC1WEt0bt/d4iOK5Tc42J+rMNQtQNbaCxwdamCvU6dClJ6oyBJX7mW4ZTkx/4GtYTOO7776zPKlOrlN3Nw5zp/J9Ol3ZSWV1ayGEcIfXtzvuuMPSfHDA5frrr89zxB6vl2vXrrWwbbreWbmd183sRhH4O3Scvvz7x/hw3AicSj6F8jFl8NLAB9CzaSe/dTsyfP/qTv0stcDTP76Fn2b/hWETf8CYhZPw1nVPoFN93/XHed9CZypD/lmMav369XZcUnRngbHcDmzzOGa6HOZTZXg/i6L16dPH0tY4bb0QDsFxdSogOGHMlUv+F2ZWIHBccMt/d4k5wcCWuUDiUSAqFijXCIFMqdNO1H35EM7v5ENlQSk6EYUXYZoJDmLEbQd2LfP12gjhE+j8Y5EMJzcXb9RZddifBVQKYOvWrcO0adMsl+WaNWtMxGOuOhYMYiEGOje4Db7owDEP6obdW60oIQtAhYd6Pv9Yg0q1zeFqqRcWTLQQSm/iiKrNmjWzohV0etLlSeF6/PjxlneNxw7dv1yn3EB3K0VwztMd/u2efiA92AmkiPr333+beO7gfI/zoGDBtBQUR3i8TJw4EbfffrsdJxTi0+aO57ZktVwhRHDA/NiMwuDgCt2hLGZ300035UlAZYoU5rrk9ZHXlE6dOqFjx442yBcsAurCTStw7v+uw/v/fGMCav+zemPSk9+YOOmvAqo7ZYqXwnuDhuL7u95C9TKVzdB1xVt346NxI3LdlnkKHnvVqlUztyhznDK9EosfsqAZU9fkFhaYYtQGj3G2uRRr2YZmVuhSFDzkRA0gmPePlCuRuhhC0FPnXCA0Eti/Adi5FKjQBAHPuomux1pd8iXPqzehM5o3AscSj1tHlaEg3oK5V52iUsLLhEUCNTq5chLTjVq+sa/XSIh8hbkgKSKx8zhixAicf/758FecarZ0ZdDVQ8GNIl6LFi38quLstv27MGXVXHvOYlDsoHkLOlw58Mb8qH8tmox+rc/Nt04r97lTaZgdL8cNzHQQFAcoPlapUsVC4rO7TkwrQAGDoizDDglDXvk3nWEZwWIvzPHGIhrueU0JxXSuC+fhFIKhmMH15fcouvLY5wACC0tRgCcUPbhs5k4VQgQvFMoYgXHfffdZITpeB+gCzAt07XNwj/lOmUuVTnh/cOt7ml/m/I3/++I5HE9KRNnisXjlqodMPA1EujRsh4lPfI2HR7yC72eMxlM/voUlW1ZZrtQiXuz3ZQe2obzn4URhnscW2zSK8SyGmdsiZLyH+vrrr/Hvv//avSALODL1DY9XISSiBhC7D+23x3IxBUxEjSgK1DkHWDEaWPZbkIiop/Oh1uqGQCcsJNQqIB+KP2yd1ahS3nOm7IlznQNlC9o54Mu8qBRRmRe10//5em2EyNfQ/R9++MFCmxm+7495T1kEkaIpQyDpwGDeSjom+OiP1WWZ1/2P+S7xrX7FWuYU9SZ0uNLpyurHa3duwoKNy9CyRv4PBvG3cEL/ue10cPJ3Yz43ulyYy41Tdjp69957L6677joTQ+m8YQ5TiuasKEyuvfZaW84LL7xgfzOv25NPPolvv/3WQh2dHKZOAS12Pv/v//4Pzz33nHU2Kao+8cQT1vlkkSm+x2IxDPWn2+eDDz6wcEmKtiw6xc8JIYI/dJ8Fd3gdyO1AFMVYtq0UuCh0OflO06YWCQa4ra+N/hSv/jHM/j6vaSe8ce3jVog3kKFY+ua1j6NJ1Xp4auRbVnBq9Y4NGD7kJVT2Yt8vJzA3OdtHDiwzRQQFUN4TsX3joGVu6NKlCxYsWGACKgcwe/fubeeDQvwLNoFtgStAMBfk0ePx1nh507nhtzS80PW4cgwCnuOHga1zgiIf6pnFpbwb0r87bp89lilWAM8BX1D7HNfj5llAYu5DY4QIlI7PJ598khK6v2zZMqvW6k8CKl2CdJzSJUtn4fbt2y2cjWH6dAXypt4fBVQya+0ixCUcQcno4ujZtGO+uELLxsSiS4O29nza6vlITPJtOB5dqHTLMOyfvxlD6xl2yI4ec5Wy05eQkJDh96+44goLK6QwSgFi4cKFlrLBKTa1efNmq2DsQNGTeXFZNIOuGmfiPBwefPBB3HnnnRg8eLA5Tdn55DwpbvA3YqeRwgcFVgq43bp1s2Pt448/9vLeEkL4AuZ45kAine+MZmBYM1N95PaazVzRU6ZMwfz581GmTBn07NnT8p4Go4DK/Ke3D38qRUC97dyrMHzIiwEvoDrwGLip2+X4/u63LZ3b4s2rcP4LN2Dl9vXwJzhIyDaSqXXocp4+fbpFglDAzw28r7rnnnvsXGAaAQ5Yv/HGG5bySRRM5EQNsFB+ilV0/hU46vZ0FbZhOD9zNBb3nvuBIXOszuc890o+1FMngRJVgZLVEAzw5mDjnq04cMR7xaWYKoCFSJycqCIfiK0FFK8ExG0DNs8EaiuERQQnFJ+Y342OG7r2evXqBX+Coi6r0VJAZag4nYsU4vwpVD8rF+qiTSvsebdG7fM1p3Xzag0xf8MyHDgahyWbV6FVTf9ITeKE9XNiyD/FT/6+dH9RaKBTi+Jo2tyAdIZlFL5PIdYdHjPZ6RQ/88wzNmUEj7elS5eamMrCG8y3y7BeCqpCiOCBQhOd7cyFTLd8kya5j/6jYOXkgmYqALrY81qEyp9hbYjr338Ac9YvQWjhELw08EFc1fF0XY8go2O9Vhj7yGe47oMHsGLbOlz2xu346Z73Ua9iDfgTRYoUsfQTdKKuXr0akydPtgiKBg0a5Or+yQnxZ1vLe8affvrJNAPOXxQs5EQNEHafDmMuFxOLAkl0LFDpdKXY1eO8uiiONrHaJCevOHooRpGqwZNLrFTREva4/+ghr4fyl4gqrqJS+QUHLpi3l6yf7Ou1EcJr7lN2FJmbjUKRvwiodJ1u2rTJXIpTp06111h0g8JV3bp1A0ZAJRQx6QKlM7Rm2Sr5umyKkG1qNbPnc9cvwUkOYvoZvNfg8cfiX+eee66FHbI4BotkrFy5MlN3an7CjiLzoTKtwAUXXGB54uhcFUIEvvuUxXSY75GOczr3ciugMsXIvHnzTLCiGEs3ICM8gllAZUqzAW/dZQJqTFQxfHfXW0EroDpULV3RhNNGletg7+EDuOzN27FmZ9YDd76AEUU8nln4kQOHzJm6ZMkSS4uUG5jeZtGiRSmF1uRKLXhIRA0QnDBmJqYu0PkZyZp/ENBsOi2iVjsLwQJDOpxRWG+x97SIWiZGofz5Ss3OqfP4ChFE7lMWi6IDj4Uzhg0bZvm0fA07oEwlwKI+69atM3GNod+8US9RokRAVPR15/iJRMzfuMyet6vd3Cfr36hybURHRFk6Abpm/Bk6Zyg4UEyl25gu5HHjxlkVaxZk8XVFZIrSdMKyA8lBB6YkSOuAFUIEDrNmzULLli1tgIQOc4by50bwpBDLwR/Oh9cJClZ0AfpTShxvpdwb+M49WLJltUXKjXrgY3Ssn7qIX7DCSMQf/u8dNKxU28wul75+u+Ug91c4+MxjnXlOmUqHbSsHKhkNklOYJuCtt97Cn3/+aflSKawyJY8oGEhEDTQRtaA6Ud1F1LUTgZMnvOr+GT16tE187lHogNk6N+icqCVP5/rhSCwLZ3gD5UP1ETVPO1G3LwQSvJvzVoj8dp86YcoUU30NQx7ZmaVDgkIqCwfRdcpclP6a5zQ7LN68EscSj1s7Ubd8dZ+sQ2hIKFrVbGTPZ69b7HMhMifh/meddZYdB8wfyFBbOpMZ9u+ttja7MDR34sSJVnyqb9++lleVx60QIrDcp7y+XHPNNZZrm7lKcwqvRRSPKEjRNU+BirlUAylaIi+paq794AHM27DUIuV+uPtt1K3gXyHt3ia2aAmMvOddNKhUy/pql75xO7budxUx9FdYyJG5vdm+7tmzx+67OLCem3uDzp072+ABj3kOdlNY9XX7LLyPRNQAcXE4uSbLFGQnasWWQFQscDwO2Dzba4uhtZ8dAk65tflnyK5lrsJSEcWAcjm/UfFXikZEWYePjcaR4/FeDecvkIXVfElMJaB0bSD5FLBxuq/XRog8wbyTDNcfOnQovvvuO3z66ac+dZ86FYuZY5Lhk3Q20IFIAZUFiALNdZqWpJNJFkJP2tVqdkZ+z/ykWbUGlgpm3+EDWLdrMwIJFsmgo4uOZDqTmbuXbi/mPPVlCCF/z7vuussKXNGZSlcqj2MhhH/DauN05FE8Yu7TRx55JFfuUwpQHEyhAEVBisIUBaqCAFPU3PTxo5i2ah6KRkZhxF1vomHlgpkb04TU/3sX9SrWtDougz58yARmfyc2NtbSJHFQne0qUyflpvgU793efvtt/PHHHyai0pWanZzkInCRiBoAMM8I4QU6OqIICizsfNU5XS187XgEdCh/5dZA4RAEC+xIFY8sas8ZLulpKM4654FEVB+6Udf/C78iANxkwn9geDzDoylO+jr3KcXT7du3W8445o7jOrFiMYUyhnMHC0u3rrGCgMWKRKNh5do+XZfIsAg0r9bAns9etygg3KhpochRs2ZNC5NlyP/69estbypdYLkJR/QULBrDkH7mSOUgwIsvvignjhB+CK97DD2mcDRgwABzt7PdySl0nDLFCAVYFsGjaMR2rCDtx//74lmMXzodRcIi8PXtr6NF9YYoyDCVwde3v2Z1MhZvXoUHvnkxINpZDlZXqlTJ2lWKqlOmTDFnaW7aVJ4H/G7Dhg3NmfrLL794ZZ2F75GIGgDsO+ISj0orjPk/MWeDq8hGwLF5VtDlQ3UoHnVaRI0/7PF5s2AVi4GEh4ZZuIzIZ6p1cD1umgF/IuTHG9Fi/UfA/vW+XhXhxzAty6OPPopLLrkEL730Er766ivLLeoLKCzRsUMXIYsaMJ0ARScKYuHhwVUwj9s6Z+1ie962VlOE+MHAYcsajRAaEoJt+3f5fbhhVgOXVapUsTBcDgxQkKeYSidNYmKiz9aJBaeYboDpMjhIQZe1EMI/OHDgAC699FIb5Bg7diyefPLJHLtPeV1fs2aNOVgpPlF4YmoPX0YZ+IJPJnyPn+f8jdDCIfjs1pdxVp3mvl4lv6BKbAV8fPP/rL3/cdZY20+BAs8Fip9MR8GCibkN8WfkyIcffoiPPvrIilQzWsPjka3C5xSsK16Asv90KD+TNxd4anR0PW6bByQGYO6tLXNcj1XaItgoXsQloh7yghN1/+mCVRzdDPTw1oCk+mkRdcdi4Fgc/IK47Si0YhSq7psqR6oX+eCDDyxEl+F5nNq3b29J9B0+/vhjG3nnezw3WQQnLXSp8D33iZ04dyi6VKtWzUbumRfUU2zZssXW7/fffzfHzA033OCTawhvwrdt22bi6erVq825R/GUnc9grVi8asd6HIyPQ1REETSpWh/+QNHIaKskTBZsXI5Ah8dyhQoV0KlTJ7Rp08ZEEoqpq1at8nxO92zSunVrzJ8/3wYqKPDymM8veF3hPmGeVgee/2mvP0OGDEn1PV4f6tata4MZDMcUIpjaQULHKefLQRam3+A1I6fs3bvXQvfZrjJ0n5XJmau5oDFzzUIM/ekde/70ZXeha8PgqXHhCTrWa4WnL73LnnM/TV15uhZIgFCsWDE7x3nOOyH+cXE57/tcfvnlljaDuYY7dOhggw/5gdrB/EEiagBw4KgjovrGOeNXlKwOxFR2FZbyYl5Ur5BwADhwOj9KpeZBK6Ie9oKIevCoq/EqGS0Xqs/yopao5sqLusVPzrsF36FQ8insK1oXiK3l67UJWuiU5A0ZQ84Zute9e3dcdNFFVj2esLopizLR6ZkZzzzzjOUjdSYWoXHgSP/LL79sOUofe+wxEzo9wahRoyzJP50FFFD56AuYM45h+3SeUjzlPmRHOdidO8u3uqrUMoQ+LMR/hOImVerZ44bdWyxnazDADlGZMmWso8achDt37rQiLxs2bPBJWD3zDPN8Zu7hCy64AE899ZTXc7eyqjidP+z4puXmm29Odf3h9caBDiGmIXj//fctzPnWW2/1mZtX+CeB3A7y/H/11VfNMUpHHIWSnIbdc0CGIcoUYtl2FbTQfXd2HtyDmz951KLjLmnTEzd2u9zXq+SX3NT9cvQ/q7ftp8HDHk+paxFIbWrFihXtvClVqpTdw3EAPKftKdPvMOc93a0cdBgxYgS8idrB/CO47+CDhH2OCy9aTlTQQeS4UTdMQUCx3RXWaGIUC2QFGTFRxezxUPwRrw0klNA54Duqt3c9+kNxKTpPF3xtTzeXzrmbQmQfCiC9e/dGnTp1bIT6f//7n4UqsTNFONL98MMPmyslq5F9Vhp3Jibhd+AIP11rvOnjTSZzreUF3vgxrPiqq66ym0G6hHxRJZhuJBbZoYBLt2CPHj3MjRTs4qlTEHPT3u32nIUmMoOdEuYe4+/GG3n+/hQlWOmdzkrC53yN77GiND/L7+RGmCtfoozlmGdRkC37dsCfeO+99+wYobuLYiiPnYyggMPQXMfh9uabb9rrFDdYLZjnE12p7FAx/yGPO8eBws5SThwquYHzGTx4sF0rfvjhB+uM0o3tDRh6yfOdTr6SJUue8T7Pf/frj3vhGx5zISEhNuBCpx6d4Qq9FIHeDjrOUa47ryt0kLJdzGn747hPuX68VnAgsCC0YenBNuPmjx81QbB+xVp45epH8hzZwvaPbdv+/ftN2OI1kk5fiuqbNm2ygTDmvnbaAhYr4sT3+Bl+lt/hwBnbSx43/pCPmvvl5YEPWuQHowkf+/61bH/36aefPqNNql/fN9EsbA8aNWqEs88+2/Y186Xm1JXKVE2vv/46vvnmG9xxxx0mZvI39zRqB/MX/7EGiHThCM6h0zkm5UQ9TY1OwMLvAi8v6vaFQetCJcVSwvk9nxP1wGknaik5UX2bF5XnnT/kRaUbdu9aJIdFYXupdsh5SQSRGyhYjRw50gQthjrlBLp4nn32WassPnDgQNxzzz0pYewsasGOI91rvNnkDWBu2bVrl+U+ZUeCriF2evMb7p/ly5fbutSoUcPCm4Mt32lWrD/t8iwWEYVCiacsZyfFT96U89GZ+HdGN+rsODm5yNhxyahjyOOIoqP7FBERccbfYWFhKfOtVa4aFm1agbW7NqNG2SrwB77//nsTOZhLjQIqRdHzzjvPQvPLli17xufZCaPLpX///nY+peei6devn3Wu6R7j9nMf0jHH77jDTh1dcg6eHHRg1WO69yjcsho4C23QMetJOO8+ffrYQMVzzz13xvvsvH799dfWcaSo9MQTT6RsIzuSdP1xoIP7jd+n2CVEoLaDhCH7F154oaX5YEhxTvOA033KdoxCXYMGDexaU9DTab3w24eYs34JikVGY/gtL2Ra7JnHiXs7597uub/muP2cNotClrt46Ax+UcwmfOTfvJazfeTE587y0s4vbVuY9jVvCuJFwiPx5rWP4/wXB+H3eeNxcZue6NX8dG2TLKBwyWgKB1+nPaIoyUGElStXmiuVgyk5HVBg28Pz8sorrzRR9rfffrNrgadQO5i/SET1cyge8eLIgjp0Toh08qIW8mznlDcvdC85zz3G9gWux4rBKaLGuIXzs1H35M2WnKh+lBd161wg6TgQGuG7dZn/rT0kN7wASSHBU8ncX2EYOjuLvEGn+4YiSE5C4xlCSPGEIVF0Zj7yyCPmuODIvMOnn35qoUW8octtdXrmYWSIJV14w4YNy/cq9+x0MufVunXrUiq95vc65Dd0gx46dMgmujMcp+jUDQuw+cAO1C5ZGXOS56TqwHGfsEPv/ho7SGk7jc78x4wZY8IfRUD3TiMf2XF076A6z+nqcf+bn2fn1FlewvE464wuPLEUHWu39IvfiecDxUwnjJdi6ujRozF8+HBzuaWF4ggnkt77hOIrJ3ZI6WZiSC5D7J3vpXWoeAs67j777DPLLclcwO+88w4GDRrkkXkz/JnnPsMY04NiFUVkisrc/oceesiE6Z9//jnlM0w3QDchjz11HEUgt4OEIi/PL6YF4PGe0/txuzYuXGhiG4Ujbm9BZ/6GZfhonCsU++3rn0TNci7xi20LHYCMPOHEtvDw4cPWdnG/pxUxeS3kMeD+GvuaWYlxTlvIQVlnQDA9uD4ZibZcN/e/CZdNAY1tMgV8PnIdPdWHa1K1Hm7veTXeHvsFHvr2ZbSv0wIlsmGI4T2BN9uk3MB7CLalFBo5MMHzl65Nd0dnVrAgJJ3dvB7wt2Q7xEiRvKJ2MP+RiOrnOOJRyeiYAj8CmCovavFKQNw2YOt8oIpnK92zcXIPdfO4EzVIRdRiRVyNbtLJk4g/noBoD4n+DJ85cswV9qCcqD6kdB0gujRwdK/rWK7qo0T6SYnAsl/s6ammVwArA7DAXIDBJPPsUPEG/Mcff8R1111nFbiz24Gku86BThvetN9yyy144YUXrIPhEBub+zQnDBdmp5Ej6w8++GC+tpcU8+j2W7p0qW0bHQbphVIFi2DqdBT5yM4jO4HseLEjwc5hSGgo5hxajVqlauGaLpegUqlyHlsHd6HVaa+5fHb+Mvt9uO7uncdSR4+Y0Lth6yaM/P1nlI2JtW1wJs4vP4VVuofonKaw4sBtpKOERSk80fljB4rOVnaU2Imjk4aFzbJyqHgK/m633XabhWXSCUtR6pVXXsmTw4jhlXfffbelLciowA1TCri7YtkB5gAHBzuc7SeZHUNCBEI7SAGNodBvvfUWvv32WzuXcwIHpVhIh+Hicp+m7ofc+9XzOJV8Che06I6GJaubEMU20AntdgRIplehAMX2g79xfu8/thtcdlbtl7vY6gyE8prI7eE83EVVPlJIz+223NtnEP5cOAlrdm7C0z+9be7UrOCANAU/Xtc5eMHzxJOuzbzA+xx3VyrbNLYl2d0/vG9xitWxTX777bdx44035np91A76Bomofs5/Vcl1UKfAi1SVNsAyiqhzPS6ieoVjh4B964M6nD+kcIi5pQ8nHEVcwhGPiahOUanI8AgLDRE+PO8onK4YDWyZ4zsRde14IOEgULQckqt3BFb+5Zv1KECwI8CwJcJcbRzpZieNuRZzA0OV6dpkR40d07zAjgBFId6EciS+b9++yE8oIlI8ZS4ydqZ5kx8MnU53wdSZGL7qCKac6LZ1HKXurN+1GYVDQ1A8MgoVS54Zhp7f8PfgMew4bhzOPtIWa3ZsRLWatdG4fO2U7WR+Of6uFDbcRVVnW73x+9L5RQGjXLnUgjP/ZkfNE/z6668WmksnKLeNIgD/vv76661DlZlDxZOwKA/z+zHUmHldmcYgt4MOFJ53795tDj8H7kd2bBlR5OR5S3v9IWvXrk3VeRQiUNtBwmvWNddcY+cwna50zOX0+0y7QeQ+dd1b0FHKNuG9cd9g5fZ1KBoehe5lmptoxTaB6XrYLuRFYPQV7mKr+/WX200h1Wn/3YVVd1E1J9sdGRaB1695DBe+egu+m/6HFeTq3KBtpufG559/bucF3Z6MnujUqZPda/mLQ9Ldlcp2iG04XanuAyJZweJNzqAiz9vXXnstV4OKagd9g0RUP2f/EZcTVflQ02Ai6q8uMSdnKYmyhBce5l8jvGinvfDkiu2LXI8lqgZlUSmH4kWKmYh6KOEIKnio8/xfPlQNJPicym3+E1F9xZKfXI9NLgYKe+DcFDnGcTDkFrp5eEOeXp7HnMAODjuNvLGmWy8noZWeDN1neBZvXgM57ynbPXYC6Kjds2fPGYIpt5Edp4xcDu6s2bnRHmuXdxU88ldql6tmIurGfdvQpVG7VA4w/r7uIjJzuvJ4YweJn6O4ySknHSZfw1DhXr16mVhKWC2YAg7PZXai2ZHKzKHiSThfnrNXX3012rZtaxXD6XzLKVxPOlrdYToEdkwpBqd3/8brD+F2ChHo7SBh8SGmsilTpowNUOTUzbp161YsWrTIBgHZjnqk3xOgg4cUo9gOMqc5oxgO4xhGzBtj7w+97G4M6HShX7drecVxoXJi9EJaQZkTjze2j7znYTvICAYee5kdN21qNcUNXS7F8Ek/4tmf38Vfj3yeYQoDtlMOdGtS8OO6MOIoL45Nb7pSGd4/adIkG2Bhccfs0q1bNztnef5yuzmoyHnmBLWDvkEiaoCE80tETUdEJRRzThee8BQMbeBFzRmZda+emWcRtWIzBDPFi0SDtXfjThdD82w+VIXy+9V55wsS410iLml6mW/WoYDB8GLe2LFzxZtohgjyRvGvv1wOYHY2OHE0m/BGjk4Bfp43ghRKZs2aZddUvs6/WUyD4kleQt55E08nG2/geQOa05vOvLBv3z67YWYHgrmsclqww1+gAMCOIn8/dhydDhELnPC3yY1AyM4WizWRuuWrw59hQSl2hncf2mfRE8VP5/UmdINQiEhPWKXIzPyi7ITwuHM6kXlxyLDTxY4Ofw93+Lcn8sKxkjOLdLi7S9mBZbguRVUWkJkwYYIJKBQ188OhQlcw3bFMHcBwTV5bWAE9J3Cf83h1h/ds/N34OoVgZ758jW4fXn+YN5mdcyECuR0kTClw6aWXWs5DOtkyy5eZ3uAZ15WDRBwILIiCCgcMHdGUA4l0V/Kae9ZZZ9nAYb/XhuDEqSSc07gDBga5gJoRjguVk7uwynsh7jseQ7yfoJDKfcc2Mb0B1/v63oQfZo7Bki2rMWr+BFzUuke2ls97LKafcc4vf4PnHPOMc1By5syZVtCU65vdY4XtMN3jzqDiqFGjcjSoqHbQN0hE9XP2OeH8cuGlhmJk4VDgyC5XblR/Z9cy12P5JghmYqJcnci4BM/lqXTC+ZkXWPiYSi2AQoWBQ1uBuB1A8Xy+4V79l6uYXIlqLldsUlL+Lr8AQnHt2muvtZAq3kDzhosdR4YEO8VvGGrlwJsywiIyDBOmEMcwe+Zp4002w9948+aeHy6nUMBkh/ayyy7DG2+8kaNOY16giMZ8cRSkAjFfHF01HBh0OvxMQcDflJ0ehs1R1Mrr9mw7sMtyYjN8r3KsfxWFSAsrK1csWQ7b9u/E2p2b0LJG5uGv7sIqHR4souV0vhlyz7BI7ktOFE5yUrWXAjYdLOPHj0e/fv1SOqn8+4477sjztvJ8pOONlXvTws4uBRS6jXlucVv42fwQVLiP/ve//1lHjyGNec0Nl95+pXj85ptvmljCbaTg9PjjWefkE8Kf20FCZx4dZ2wH3XMeZgeKwUxJwOsanXSezoHsz+0g2z6nHWSbyGs6r9vNmjVLZZz5cdafmLN+CaIjovDSwPzNte7v8NpN0ZQTr988nrg/eX9EVzOFT6c9pMjHfRdbtARuPfcqvDLqE7w86mP0adEVoSFZS1H8jSgEMvLIX+H28bxm28/zioI82/TsRO8Q7iMWq+OgIvPqU0jloydQO+gdJKL6McdOHMexRFeoiFx4aQgr4hIkty9AIeZFhZ+HUe5a4Xosl3/hpr6g2Gknz+FjRzw2z/0pxdV0DviciKKuY3jnUlc+4oY5K1qQZ5b97nps3M+Vo1XkSwhwZrBTyCkjKM5wZN5TsCAORaZHH300XwtIOe7TQKtWTCGOleqdDiOFP3Z6eBPNyrCeLp5EMZLULFfF8mT7O7XLVTURdf3uzVmKqGnhvmOniRMFdgotFFTZgWJH3XGoUpDMjtBPQYXFavi70I3idHgokhCKOMxDywIbTjEqOkid58zlSncsj00nd6NzDFDM4bzT5ltL61Dh8UFHDPOosVPH7ciPc+zKK680RyxDGrkP6fzL7XLpEHTgcU6nnhDB1A4SnqM8Tyikpjc4khnM6UmhiwOBHBDKyYBPIMLrMyMInEEvXhN5febgYUbXZxaTennUJ/b87l7XoXIp/x4U9CW8VnMQlhMdmIzodKJcVq9ebfdNjqB6c7fLLaR/3a7N+H7GaFzV8aIz5nf//fdbUTS6XumSZt57RmqwnfB3OMjCVDl0ezrh/bznysmgItstFpwaMWJEjovDOagd9D4SUf2YwwkuIYrFdMJD88dpE1BUaX1aRJ0HjydG9SSnTgF7TheGKJfznF+BRNEI10j2kWPxHpunnKh+Bh2gFFEZ0p+fImrScWD1367njS7Mv+UKv2HkyJHm6nnvvffsMb/dpzmtwOorKHyxw8iOMjsyvDFnh5FFEHgzn5dq6FmxfvcWe6xdzr9D+R2qxLrcljsP7s2TYMh9ShGQk7vTiQWaWPSB4foUQDlltP+vuOIK+92efPJJ+27z5s0xduzYlGJTLALlLnawc8lCFg6vvvqqTezAuXeg6EDhdwcNGpQth8rFF19soYns/DrLyA+XGtebHb3zzz/ftp/rFOzijhA5hdcXXiPef/99q8bNsPPsQvGQAy+8HvAcT1vILphw2kG23byeOJECHKTKTqTAN1N/w+a921GmeCnc2O3yfFvvYIDuSwqgnJgywhGw2Rby78ua9MBH00fitdGf4tJ251vkStocvRRMOXjNexamTeIgRHbFSF9DUZ4DJzzPmMYjp5FLQ4YMsW0dMGAA3nnnnXTbbuF7JKL6MYfiXSKqe54ukSY/46xPUGjrHKCCH4uoBzYCJxKA0AigVE0EM0UjHRHVM+H8SSeTcPS4S5AtfjpVgPCD827uZ/mfF3XdJOD4YaB4RaBSq/xdtvA57DDSecqk+3379s2XZdLBOX/+fBOaKPD4S1XYjKD7gzft7DSyo0JBjB1s5tzLD+H3+IlE7D+dgsjfQ/kd2EFmZzoh8ZgN/hUrkvcc6NzX7KRzYo5RipMMA2YeVRZBq1y5snUu08uly9D9jML33YVRUr16dRMKsqJnz54Zfi4zhwoFXwoudH9TgOc6e/s4YjgtnbB04bAT/eWXXwZU8S4hvD2ox4reTCUwderUHOVNpFt97ty55jZnuoFAiabISzvI/cW8tE77nd3r19HjCXhjzGf2/J7egyz1i8gddJA6LlRngLHM+rIYOf8vbD+wG2//Nhz3XHRTKjcwU18EOjzW2GbyuGPe/ri4OEsDkt2ibQy3Z3QII684GP7www/7/QB+QUMiqh8Tl+AqzlM8KjgbujxzWkgpRFdc+VPwW3afDuUvUy/oq4k7Imp84jEb8c6ri+TwaTE2LCQURdKMVAofF5faNh84mQRkI5+RR1g+yvXYoA9jXvJnmcLn8KaboVx0n9J1wwI0+bFMFjCgi5DhfgyN9tebV64rb7DZYeQj3QsUvNhhyW8X365De1MGfgOl08l8bMw5v/fwAVt/T4ioaWGOPR5DdDGzA8nfigIIRQwKoRQr8yuvb07gOlHUZG5UDibQTUR3rLfXlekRpk2bZikGGKbMYlgMExWiIEPxkwMLa9assYEGDsZkF+arpCOO1xwKqP54vclrO8h0Kizsw3aQzv+8tIPDJ47E7rh9qFq6Iq5OJ9xc5G2AsW2pUrj30I14fOQbGDFrNOpHVEblSpVMdOT7/nq/lRu4PRTxKaTyvKUDPLt5Upk6yj06g7mPFZ3hP0hE9WOc4jwxRfzb/eIzYmsC4dEolHgURY/thN+yy5WzDGWDO5SfRIUXscaPAiqdPdGnRdW8ngPMtRpMjWpAU7oOEBkDHDvkKpjGIm/e5tRJYMVo1/OGCuUvKNBFctttt+HPP//ElClTzNXnbVj0g4IRCxkwqX9eKyd7C7qKKMZt2LDBOpB02zRp0sSnxUEcEbVcidIIJMrFlDYRlZ3m2uVdlYe9gbtDlYU4mMOUvyHdqXSEMtzPH93OzBnIquI8L+iGZTist88LDgZMmDDB3Dhc9pgxY4I69FiIzODgy4UXXmjXeraFvIZkF4qKdKBycILO1WC6lz5x4oS5TtkO8n6BIhyvre7FoXLKofjDePfvr+z5A31vVjo9LzHg7L54cdRH2HF4L0LLR1uaG4bs87djW8jBxey6Nv0dppJgSgLmLJ88ebLlPE8vEiWz6AxGlPBc/uKLLxSd4SdIzvZjeCEnMXKipg9dneVchSBi4l3FLDwBR2hffvllmzwyWuuIqEFeVIpwhIxCKjlyOgw/LzhpAbzhDhK5hKOglVq6nudXSD+LWMXvAyJLANU9U61S+H/n6OqrrzbHHm8g80NAZTVVikROtWJ/FFAZEsYb8b///tucNxROWSGanWNfV1dmXlFSPiYw8pY5lI2Jtcfdh/bl2zJ5b0EXKh0q7Fwx/QKPvRkzZlhHKTth+vkJO21MDcF1pkuUBam8vY4UlP/44w9zg9M9R9FZiIIG26Xu3bub6MLrfnYFVCeigoXuKMSwDQ0WAZWDnEuWLLH9wesC85VTZGI7mBcBlXwx+Wfrf9erWBOXtO3psXUWqSkaGY0r2rsKon0/508LdWcaFwrhdFsz8mjlypWWniEYoCDMPKkczOB9bU7aMyc6g+czc5YHyz4JdAqMiMobPzYe7tOLL74IfybudGEpp+K5SIcKTTwuojL/3QMPPGATn+eZ3QWjqNSZeVHjPXYOFI/UOeCXIf0UN/ODNeNdj7W75V/6AOFTAZVhiyzoxFAmuvS8CTubDN2nC4KVZem086dwR64fQ7koJnN/8O9OnTqZU5ah1v4S3rXr0B57LB9gTtSyxU+LqHH5J6K6Q3GEnSuK4RTuFyxYYC5M5lClu8pf4H1znTp10KFDBxNRGZ5IR7Q34T3YV199Zcc6BWcWSxOioMAUGhRQmQ6EaS2yO1DGaLBFixbZecpzJyeh//6+P9hOM08zrz1M78MBFm6fJ9pB1mH4/N+f7Plt516FkCBPweZrru9yqT3+vWSqFfHiADYFQx7zbBPpwKaYyoJUhw4dQqDjtKG8x+RgOIs3ZncwkhEh48ePt33CPKlM7yF8i3/ceecTzzzzjCX3d6Y777wTAeFEVTh/xlRwhRLHxG+GX3LyBLB3tet52eB3orqLqE5BqLxwOGUgQU5UvxRR88uJunaC67H2OfmzPOEz2DG6/PLLrfNHIcnb1VgZvk9xkuIMhUnewPuLW8cRT+lQ5A03iwzQbcNq6TExMfAnmL7lwNG4lPD4QILFpZx7Lm6Hr2CeNDqqKKZSzGeYKjuQdJ/Qqeov0AlHpzbhsckCbN528AwbNsw61hRSmQJBiGCHjnSmsmBuzxEjRmR7YI/XCrpPeV5SYPTHiIqcQuGITjxuF9u+Hj16oFWrVjlKa5Ad/lw42YodxRYriYta9/DovMWZ1ClfHV0atLV7HTqAHXgPRtGQIjnbGh77TGPBtBR0IQc6zNXLCBSn2GR2hVQe+ywqx33A9B7x8XnvZ4vcU6AsPQwN4oGbk84VJ/cwOsclwyk3ON/L6vuJSSdw9LSTjwV1cru8YKdQmQZ2EMfEb8QJDzkieANCJwhhZzVPOVn2rETYyRNIDo9GUnR5/vAIBLJ7nKZHRGi4jYIfPBKX5+P2wJFDNq+osMiAPwfysk/9jvLNYLfze9fgRNxuoIgXb9ITDiJ061xQ1jpRvXOqc8gT+zQofo8gElCZA5H5zei4pGjoTehsYLENdsTatWtnLgh/Yd++fVYZnTfLFNQYTePP+cGcUPgSUcVRJDx7RRP8Ba5vTFQxE1F3x+1HtdIVfbo+/J3pvqa7iikbeByws8Wwdua+9QeRnw5R5nXjenEQgqGYXDdvQZfZhx9+iEGDBtlgBzvUDPsUIlgFVA4YMASfTuzstk1sQ9mmEYo0Homm8yFs/xiRwv3BPJksyuPNbfp04g/2eE3HixCpYrb5wqCul+HfFbPx7bTf8dCFt5yRg5baDdsXOjgZMUQXMtsatofZLdDkj1AQZVvGFD7UmrKrN7DI4tixY21QkcUXmS/c16mcCir+02PIBxi+/+yzz9rJN3DgQNxzzz2ZNkwvvPAChg4desbrzMGS1wOW7oLMOHw8Hms2r0FY4VBMwOlQVnEGhU8loi8KISLpMMaO+RHHw7OXqDkzmGtkwIAB9vy7777L00W6woG5aMvOemhZ/Pvnnwg0sjpO02PVvk1Ys38zEncfxoE1O/K0/Bmb5uFIYjxi4yOweclaBAO52af+yDkR5VD0+C7M/fUj7I5p6rXlVNg/G22TT+FwZEVMmLYIACfP7VON5PoHFLN53d26dau1u9u3b/dqlVbOn4VyKFDy5twfhClnsJadRoYtMoSTeSj9KbVARuw8HcofaEWl3POimoh6aK/PRVQHHpMspkRHDvOn8bigQ5t5/2gI8PUxy+XXqlXLOrl0CLECuDfzLlJI4SALYQeSLlhvp/oQIr/htf+cc86xAknXXHONRU5m5zhneC8FGeYEpUvTnwYFcwq3hYIZI0S47dwfLM7jTZZuWY2ZaxdaCP91nS/x6rLEf/RocjZKFytpxR2nrZqHbo3OSvdz/P2bN29ubQ7bwnHjxtlz3icFwj1SevBcpZDKFBUc/OAgQXa2hffJjz76KF555RVcdNFF+P33371+fogzCdwrbA656667LL8GO2UcNX/kkUesYXr99dcz/A4/c++996bq3PBiznA6jgTktqPIDj/DtTI7UTbs3oJtEXEWZta7Y+9cLaugkLzpJRTauxpd65dCSP3z8zy/o0ddxYwIk1znJUl54WlrgbVA8VqtbMQoUMjucZoelTavRPLS6ahZtip65yEchuEN6/7eixMnk3BB5z4oVTTvAnmg7lN/JOT478DikWhboRBOdfXesR3y+9/2GNXsQvQ+v7fH96kTYSB8B/M+cmCTDlTmfGIRG4buEXYkPSnKOPlPKUaxo8mcov4AxXwWUaBYRocdj+lAqsD6X1GpABVRi8dizY6NPsuLmhk8/ulKrVixIjZu3Gi5DhniT8HS227t7ECRl2HD7ATyeuqNnMK8X2dePM67T58+uPXWW1OEVFZxFiJYikg5AurXX39tYeyOszQzIZUDGBRQmf6GRaT8JU92TuE9HYsK0eHOASSGcnOQJj/4dOJIe+zToisqlCybL8sUMNG6d4uu+HLyL/hj/oQMRVQHHg+MgmC6CkdM5UA4UzH5c7RORvA+j3nGmaqC971MYZDZvR/vE3kfwPaP14pevXrhkksuwS+//BLQztxAJKBF1IcffhgvvfRSpp/hCcYcU+5iKG3hDAe45ZZbzG2a0cHK19N7jzeHeb1BzGoeR08cs0awZNGYoBBcvMmpCk0t72jYnuUIaXJBnufnvr/z/Fsf2GAPhUvXRuEA/B1zs/0loovbsXs86Xie9t2xE8dxMvmUzatU8ZIIC5KCQp64fvgFVduaiBqyfR5CvLU9zBO0fqI9Dal3bobLycs+DYrfIoBh+pRrr73WhE3mQHVynLEYhqeFVIq1dJ8yjJ+j/7kdDPUkDONicQHeFFMk441xXqsL+zKcv1wJ7+aw9RZOHtddp7fDH2FbyJBWRlNxEIDuFYqoFFN9fSwXLVrUhFQKnUzFwfQYnhI/HAHVfdDjgw8+wM0332zny+TJk01wESKQOXjwoA2eMUyZAiqdpBRFeS5lJqRSTOL7HHyjS93XDvXc3gdQOKWAyjBntv/5mcuVRWx/meMasL+p2+X5tlzh4oKW3U1E/XPhv3hp4IMIzUZ/j/eKFB+Z8oZaj7+lvMlpP4RRR7w/ZaoaCqnp3Qc6Aiq322nzGc5Pw9dll11mQqr6NPlHYA5Vnea+++6zEyeziTec6cFGiR0qHoz+iFNQp3gRVSXPiuRyjeyx0O4V8Dv2rXM9lq6NgkJ0hCuk4EgeC0s55wDz1QWLgBpUVG7tetw63yV2eoM9q4FDW4HQCKD62d5ZhvAZdIXefffdJpDQTVC69H8uRt5AsiNFASUnifczc3ry5pROF+aa87XoxPsPCsfcbkY/UICiSBSIAmp84jEcjHeKSvneGZkbGE5IDhw9lOdjLTPee+89y29LxwjvQ1nhPiOWLVtm4ev8PDuFb775pr1OcYWdRRZXWbJkieVH+7//+z8TEvk5GgfSpii6/fbbTXCl2Ml5MjTe07Dzxm2i0MlzjZ1bbwiojqD8ySefmDOVThxFFIhAhuHrLBRDV/W3336bKhTfEVLpQGd4e1rnKh2oTEvjzVQa3oI1D1goju0gozB4Pue3gEoo3tG4Uad8NbSp5b30VCJ92tdpgVLRMdh/9BBmrHHVJMlJyhsnfzAHpJkzle2GN9txb8A2je0ct4ftJ93lWQmo7jlSmaKKOcN5Ton8IaBFVDYsvFnMbMooATUr3fKAZRiSP3Io3iUgsdiByJzk0nXtsRAFF39j7+k8nrG1UFAoGukSAY4eT8hTIxaX4EqroIEEP6V8YyAkHEg4AOx3Oa49ztpxrsdqHYBwJU4PNp5//nn8/PPPVm00vbbYU0Iqnad0q9G5wBF+Xxbb4A0uHRPsNFLIYueYDgS6bwKVPXGu6uwlo4vnqRgHf1/uH7qSKHazSIqTs5jP+RrFZ37G0x2kopGu6wvnTVHYG3z//fcWFfXUU0+Z44Rht3SQZCQ2cttpBGA+//SKojJSisLD22+/jf79+5uoSEGFnUh3mP9/1KhRGDlypLlE2dli+J83YKeW1cSbNGliAvHmzZs9LqA68B7+s88+s74At8e9EKwQgQKvd0xnw2vbDz/8kK6TLD0hlblT6UZnpAZzQwYabP94raL7lNtAIcxXffLf5rruNS9qfW7ACdHBAJ2nvZp3seej5k/Idcobhrdz0JHnydSpUy0dRiDB7eC5QDctI7GcwcGMBFQH3j/Skcp0lQ899JAP1rxgUiDsXbypZKhDt27dLLyIf/Om8uqrr8730a7s4rj4oiMkHGRFcpl6rif71gKnTgKF/SQnyvHDwJFdBU5EpROVDYF1Ro8nIPp05zQ34TVEIqqfQndohSbA1nmuKTZ913+eWHv6ZqrOOZ6ft/Apw4YNs6T4FDd505sRjpCa29B+OnXY/jNnlq8LSPGGmOIZO80U0PyhOJAncKIGYqLOvLmn2Enxk25IThS6nOdp/+Z+yQiKzmnhvqOQSFdn2sn9dT7Paj8zL1tURBFrs44ei0+JqPAkzMHPEPQbbrjB/ma1+dGjR2P48OGWniotLDLBiaT3vnsFa54jPL6WL19uJgG2v3S1cQDh008/NXcbQ98JhUeG/VKAoYDvDRh2zH1PIZW/MYt/5ORYz0pAdeCAyE8//WTbxrQgI0aMCNh8kKLgwevjbbfdZlEJFH0yK1rsHtrPc505xJmejoJLIMEBMQ6K7ty5065DTEPgy3OW0QeTV7giAi7KQx0HkTf6tuyOb6b9jjELJuGFAfdbm5yXlDfMG877RuZKpakuUPKlsp3kecFt4fozzRPbw4wEVAfeT9KQwHsBulnvv//+fF3vgkiBEFF5A80q608//bTdzPGEoojqnifV3ziaIqKq2lqWlKiKk4XCEJJ0DDi4GShVA34Vyh9dBigS2EWRcgIv/FHhRewYPpoHEfXIMZcTtViRwAtvLTBUbuUSULfNB5r19+y8TxwDNkx1Pa8tETWY+O233yz8mCPn7ARmRW6FVDruKFrSFceOmq+goMUbeoaa8QafodiBckOf3QEvigEhyYXMecjcfuzkM0SV4ii3n9ubVuQsUaJEKsGTDiz+rpzYjvCR7ix2DOjY5DwctyofKbqmFWWZGmHfvn0pf1PA5XwotnEZ7ITQtcFl89E9bJZuVIqobHvKejgtAYUDioIsWOrAbWRIPgf28wKdXOxocfvotH7wwQexePFiO/4ponIfcDkO7FCyk8nlektEdUQfnrcUa/k70aGanfM2uwKqA1MUUIzmsnhdeeutt4JicEIEP+yXOg4yJx94VucU2w8OlnDwMdAEVAqndAny2ktjkz9UFGcof9Kpk2hYqTbqlM94QFd4l471W1sbvPfwASzfuhZNqp42SOUCtuts59guLliwwCIwWrRo4bfGubQ4aXloAqADlYOp2UlBxcHKP//8084tCqnXXHNNvqxvQaVAiKgtW7a0m7hAgk4I99BokQmFQ3AksjxiErYAu1fmWURlR47hds7zXFMAQ/kd2BBSRM1LZ9RxohbTOeC/VGrleqSQ6mk2zQBOJADFKgDlGnp+/sInMNfTVVddZYUzmAc0u+RUSOWNJ90u2RVivAXFRN7EUwz0Ra43b0ARk/m6KJZSpJu5dDbW7FiHwvsTUSYp2gRKdu7pqnJE0ty2pU7YPgXU9OZBAS0z0gqtXF+GwVJ45OuMTnJEVZw4ZduW13ze6cHOENclbQEk/s1QvdxCZ9rnn39uwgrFx6FDh1puRQ4esPgUXaosombbl2a5FDS8DZfL5VOw5f5mRzYz11lOBVR3cenvv/82tw6/5y5WC+GPvP/++3j33XetTUyvYFR68NpF1yqjKpgWhsJrdr/rD+5Tnt8c1OQ6+8tAx3+h/HKh+hLWvmhbqxkmLJtheVHzIqI6UHhk++O4UgNpEJv3BWy/OVjCQVHeq2SnWCM1L6bJ4n0A6wwwZ7jwDgVCRA00EpNO2ETkRM0eh4tUdImozItaP28XDDpWODqcZwpgUSlPFpeii9U9V53w4+JSOxYBJ08AIR6sCrl2vOuxdncOy3puvsJnsAgOb+wY1tyvX78cfz87QipFNzo+KSDRlcdiOr52nwZaOFla6Chl3k6Kpo7LlPudAhmn6BLFUD2iOs5tfQ6aVUtd1MjXcJ9TzHXCZOlMcY4TiqqOEExxYvvmrVi3byuiE0JwYs9RE1cpzrEj5i8d/rS4d5Do6qaoStf1r7/+akUmmGNx8ODBmDNnjr1PQTu/4XnbsWNHMzMwFJmuGncHcF4FVAd2Nllgg4MzzK144403emgLhPAsP/74o+UupPDPgjg5SU3jhPDz2sS/iT8LqY77lNdRpt3wB/epA12PU1e5TAASUX1P+7otXCLq6gUYfM4Aj8yTg3YsvMZwdw4u8nj0d1dq2hyo1CV438v73+wIqcwNy7Q9l19+uaVC4n2B8DwSUf04lD88NAwRYb4rgBFIHI6s5HqyZxX8hhQnasETUZlbjiTkoUCH48ZWXmA/hi7ryBjg2CFg9wqgggermq45LaIqH2pQwAI4559/vqXRoaiTWzITUimMUailGEPRJjvhT952n/ImODthmv4E9yOFRXY2OHF72OHgxAImFBfpAHX2+5y9KxF+MhwxUYGTv5rrzs48J0ewSyoZBiyfjbKlytlxRtGCnRl2YOjc5OcoyudGDKcjhN9jMRV3+Hd6RaNyC0Vtdhgp4HMbnaJLDHefMGGC5eKlkOzp5WYFHck8b5kjledu2gJveRVQHSgwMV1Inz59bD69e/f20BYI4RnoPL3++uut0BzPg+zAAjkUTOnidEL43XOk+qOQyjQiTnvsFMvxt8Go8Uun4+Spk2hatR6ql6ns69Up8HSo09IeZ65dYAPRnsyVy/tBDrAxCsWfXanpFZHiIDzvy5j2g87azHInO1BAZTvPtpADmAz1F55F2df9kCMp4pH/jNb5O0eKVPSYiMoL97Jly2zi87w7UQteOH9UeKQ9xh8/lmcnqiPICj+ENziVWno+pD9uB7BrmcuBWqub5+YrfOZkpPO0Z8+eePzxx/M8P0dIZeeMIYK8ueTEkCfeNPIm0xcCKtsLOk9ZLIuiWdeuXQNGQGWoOfcdHUN0R7GTwZB9iqYUv7lP2RFmBVw6Idw7w4dT8lcHjoiaHox6oEMyLCrCOi3MF0qnZ/Pmze19FmxivjGn6nxOqsFTMKRAOH78+FTHC//OrpCSHRj+Rxe2I0RymfHx8SaGU4DhNlBMpSjjyeVmB6Zj4D6loMrOIEN8PSmgOrDKNwvXXXnllVixYoUH1lwIz7Bp0yYb1Hj11VdN3MgOvA5TBOE1KW1ub0dI5XV7y5Yt8BfYlvA6w2sk3adcb38TUMmUlXPtsWtD7+WGFmfy4osv2vHAHNbuNK32/+ydB5QURffFH+zCknMSkCQIShAVFD8JiiQxoYg5gDnr38+c42fOOWPOWRHJiKIiIoKAEgXJOS05/M+vZmsdlpmdnpmq7p7duufM2WV36enprq6qd99997WQsqXLyKrctfLXotnG3xdSFuIUMpXqGrxSWQvDTKBGN5si8amtcbzg8ssvl7PPPltVgJEMdzALp0QNIf4lj5wCzyvWlckjUZf+hYwmrfJfAn6CRR2QELCnRaIWQ09UTXxu2BIZy8mCzLBWsabamMrBx+ZSs0ZGSNT2ka7TaWPmiMjXum1FygdTju1gBpCbdCSHQKEbualAKlqRqpsM0VCIn3nJ0ptGJqpP2YgT7EKwEVBA9LFJp9QNEtiLCmTz1i3qVRT8qyvk7bl0IhugUqE0nBfjjPvM9aIzNoQk6lyuGa9odW4soMImoGnXrp0cdNBB8vjjj6tGWAMGROZNusvXq1dP7rvvPvVvSEYayOjvUXPznryPVpXQgfeYY45RJAWNpPBz55whEAGqYcraeW+8U7mvBI48i0E0peHcKOcfP368enYh6Ul+mPYuPuWUU/LtQyC9w1y66VA8wLN+3HHHKYXYRRdd5DkegTTh+eZZiYUwKVJRn5LYZC4Kq/pUg/n8+zwStVOLPGsqB+vAWuaFF16I2VQUX9T2TVrLd3/+ImOn/yb71LOjngyjKjUegarBc8Q1Y+0kqcJeN5YtTkE88MADShRGLwJsfsKmvM1kOBI11E2lHHnkFbll6sjOEllSYvNakXWLRSoF10hEYdNakY152a2qwXWFDgpkEtNRour/l1UyS8qW8t/DzSFJEtW0EjXfD9WV8mc6HnroIUXasHE27ccIkcqGc9SoUYrwQ/npN4FKIEbpNM0+MsH7FJIXMg4lJQoMSDYIQAKIVLw/dQPAMqVzlAVRJkPvuWiIGAtcG64XL64XBIcmoQmAsAZAqQvhEcv37+STT1beq7fddpv6Pyhc8fDUzaa4J9HENUQEhLYG6jVeKC0Z82D+/PmKMCWBAJmivUf5XuOxxx5Tx+3bt68iznv27Cl33XWXImR5DwKz6NJ62+BcIJIJXkk88BltNH+7++67FZHKdacDupeA08HBBlCdk0CBzCd54pWQ1M8yKrTCEAYilUQcz3MYvU9jYeaSubJ4zTLJyS4t7Zq0Dvp0igUQJkHmvfTSS3LPPffE9UWFRP155kQ59/B+1s5Fq1LZ/zBuWZNJ5rG+h41Ajd6D6Gbp7Kl55hMlu1n33nvvPfW3t956q/zvf/+z8AmKJ9yOIsSeqK6c3zt2lCwlUq1RRP1JSX/QJOrqvLKactVEchKbQBfVcv5UPVH1M1Aup0xos9gOBUhUPFE3rxfJSbOkFwuNmSMj3zdzRv+ZDHwYIWsob7fhv6gJTAggvqeMOVazKVsgyEUVgMIozOpTrg0NlCglhXSDfIboQxFIaXU6WJdHoma6CjWaRKUayIsfGyQBzYx4QU5DIkCEYumAcpVrDEEafZzLLrtMvWJBE6MaHJd7VxgIjhKBe/zMM8+oVzRQs1IGzPsSYPkZPEI+MyZ5ZnhumR9ME7lc97feeks9m9dee60ikx0cggCEEU1tUEVTlZEIVFZAiDLH4GPsZU0LikjVay9EEOtvWEv345Xyt9+rTb7wwy+wd6CxIUktvuqX/je/Zw3SVkW8sGUBI0eOVHMb11h/Ze5knidRzdfoFz8LSwLp0ksvVTYW3bp1i0ui7tcwkjCYtiCvmtMyWPdQpbJu41dMUo+KkLARqBok6alk0UlISNVEzxte6V988YWaH7D10ZUqDukhHE+VQ8xyftdQJznsrN5USkCirpgtstdhwZ7M6nmRr1WKnwrVRDn/v77A7hkIPSrWEalUV2TtQpGFv4s0PjS94y2aKLJhRST5sGd7U2fp4DPwIjzttNPklVdeUZs809AeqCj78Osk4IjVbMoW8KkjWKW0GmWgl8DYb0Ds4ZMHeYoCBJUkJWBsqE1dn3V5c3WlDPdDBeVKl1XXRQWsWzZKhSSIYYJUGjbxQqEKmYoKEpKSklZUymFTZhFgE4zp4JHnlPO3De2BihoVkplEBB6pBJGmiVSCUhpN8TkJHs855xyjx3dwSIRPPvlEKcgZ49hpJALzD88EX3lGkmmu4zeRCtnLHMc6zNqSSbYZ3//5i9VSfixYaNBIsggbGNYFTZZy3biv0UQnX/Eb5x6yn9AEqSZL2XNwrSHV+bcmV9n78F762DREjCZk+RvWJ/1erEMQh+wD+OoXwUrCj0QCCsrC0KJuxLZiztJ/lFWQHw22uZ5UEXFNWJu4X/zb9j4yWQK1oL846zaWPy1btkz4f1Ddvvvuu9KvXz9p1qyZmlsc0oMjUUMITSC5cv7ksLNqo8g3K82bUSeNVXMjX6v67zkWtnJ+FvBkF6J/EwnhCjodClGjTl0osuDX9EnUGXml/E06i2SFj5hySIyVK1cqL0JM7SmlNQ3mFHzXUP4RuGlySnuk2iZSUdER5KIU3HfffUOnukGxgmcn5Cn2BhB4kGM2iF6tRE2GcAwrCKRYc9iD8Ur1MzEeCVj23ntvNUYJkoYNG6bUlnivob4My5jhPLSVAwEuwSP/tnV+sZpIEcwRWOP96NXnLRngJfnhhx8q71g+G+/h4OAHIL0o40cRrXsteEkOUt2ANUcqz4JfRCoEHcpaQCIx3aoGP0HfhR+mTzBGokJiQpby0sQp6zDrr7aAoTohmjBlPU5mnmWOZjyxfnhdyxlPmmDVpCpjC9IbP1B+RiIY8lC/eB/TewWSuVdeeaUMHTo04TjZo0pNVdlCw8rZS+dZ80WNBdZokvKMa9ZC1ilbJHOqBKoG15HmkN9//70aU9onvTDQKPPOO+9UjV5Zc23Y6BQnOBI1hHDl/Ckin0SdEyIStXgrUdmobN62Rcok6WuqnwGXSMgQ1INE/dKML6omUZ0fakYChQVNXciMU8pvA5Tw4+vJZjfaAzW62ZQNIjW6bBE1SJANPGKdG76Ys2fPViQvCj8CaduEHYFOUVGiglJ5vq5bt29L+1hcd+4DLwJXiG28zBinEHuUDCajMrMJgimeJ4gXgkdUqaaDx1gEarRHKteG4BWFjenrgkcjDTbojA5Z7Ge5pkPxTSbSSOr6669XX72A+ZvnBFIyHVW2bSIVP22eVd6HtTDMPuCxMHPxPFmzYZ0SfLRp0CLptZbPj+JTk6aaMNXqTiwN+N5Pr+l4axAEWzw/etSxmvSNR6xyj1HIprOPYN4noRhdlcReEaunp59+Wr2nHkO8T4u6TeSX2ZPlz4WzfSVRo5tOQTKi9KSKIeUG05YIVA3uE+slRCrfe7HNoskkZDxrIf0Kgh6jmQxHooYQrpw/Neys1iQ8JGp+OX/xVKLSYZEmI1u2bVW+qMmTqJFnoJx7BopXcykasv0TUTZIM0eiZiLoLM7mkE2zDYIIdSXlx5ClsTa2tojUMJctQp5S0kW5H8HbEUcc4VuDraJWOZNVIjJmKZE0CcYlY5ESQUr9aUTGPePfEBxhIFMLBo+QMKbGUTwCNR2ft1T8+Phs2IwMHz48ND6BDkUPEG39+/dXzeNuvvlmT/8HkgkbHIgVE9YftohUfLVpSsfcRTIoLKr6ZDBl/nT1tWX9ZpKdle3JGoe1n+ZDJClZH7BmYB9ARUoYCNNUwDjjFU2+oVbV5DCfmTEJCcvf8KpevXrS6xV7EuxtojFgwAA1hkgyFCThW9TbS5Gofy0MprKUe4nKk4oniF78471YcfhJoGow9vBxZX0lEZromDyvL774ovp8N910k7IacUgNbgcRMqDc26BJ1CISlPiFnTSW0iQqzRhSXNgpY7jmmmvyv08Jq+YV63J+7S8HiUpJf9XyyTWscGrsDEO9/SPPG8mD9UtFKtRK7Thzxojs2CZSvYlItcamz9LBMthsQqJChKBcMA0CGDbiBIZsHOPBNJEa1rJFghwCHEhUSrnYFPtNDGnFJkmzogAdULMXs3L87GxV0o/FwsKFC9X9Q1lN923IxaAJCYJlgjueM1QqEJsEzTYJ1II+b6hqpkyZotTsJq8Hx6K5FgHx3XffrcoaHRxs4IknnlBJNxICXsYwntVYxKDqNNmg0CSRCjHMfIWinmcIhX2mYvI/ERK11Z57F7rus+fgBZmoyUZU89yjMCS+bID9jSZMdQJZE8jM4/ybe8/vsSjwQh6zHyxoZ8E+jbUlls1F8z0i+3+UqEGB+9umTRtFSlIlwXrEuh0mAlWDygoqSHjOvajYucfvv/++GsuHH364avblkDwciRoyQDjph1d3OHfwCFSfqEi25EaInIqpLfBMPg899FB657J6brFuLAXKls6R1RtSay6Vn0hwJGpmoEwlkVr7iCyZKjLvZ5F9j0ntODOGRb66Uv6MA6VtKLwefPBBpb6xURpJkEnGncAwEUwRqbpsERUCnysMZYuUhrMZh4RDBcM1iVeuZxtbt2/Nrz4oCsjKC4y3WSJRNRiLBD6Qiqir8UGETMVj15TiJVWw/4TMIcjDp5Rnh3Fmk0At6POGEpYxTQMMk6DkkeCRIJZgkzJ/BweTYJ1CfYr/oxdClE7skB9UEdiwiDFBpHKOPMeQvajVbSRJ/cQf//ylvraOIlEhiSGiNHFKkhKlKWQhBBpzR9BJriDAnkeTqlwjVKpcH0r/sUaBCOV3EKtcIxPYO49Enbk4L5YOEKx9jHftk0qDwlQIdFsEqgaqXs6PagvW0ETniGf7888/rzybUZbTeNQhORSNXW8Rwvo8fzHIo+I4WaeFrNIilfeMEJgrZqdMoqaNTWtENq6OfF8lPJ55Qfmi6sRAMsjd5CwtMg57HmyARM3zQ23WzeipOdgFpW2ULhKoXXLJJcaPz8ZQKwGS8TJMl0gNW9kivmFYGbAR5zr4WbafSInqpSQyE1Ayr5x/u+Fy/rjvV7KkUrdAbOCHCNEB8QKZirdekOC8CB4JyngGeX6SCR6TJVCjn1sUqTy3EKkNGpit6EFd9Oijj8rpp5+u1IKoqRwcTADijWaKt912myJLEgFSCtKVeZxn3hbSIVIhTvl/nCMEaiaWrRe85lP+maG+b7Vnc7Wu0viIZBYeocwHzH2QgkElJ8MK9kAQy7yonsALVpPOVA9QIUQygP1JoqqYUaNGxf1d3aqR+H3xmmUSBkAUk3TjOSCxiIIzmbFhm0DV94a1lgQkNgSsc4mA8GHEiBH5X53FTXIomlr0DIbzQ00TugR45ey0CAEmO14p+aKt/ifytVx1kZyi0Wwj1XJ+gCdqshscV86fgWh4cOQrJGoqWDFLZNXfIiWzRRp3NHpqDnbx2GOPqQ30K6+8YpxopKSOTStBTSqlVJpIhdBhY8n8kgj8DX6VECyULVIqHySBigqITTgd3gla2MzjGRk0gQq25ZGoRUWJmp2nNN6xc4e/75udrZQh3bt3V8QlgRAEJKrjIIEqFuIEpTnPIZ2ebRKoGgTjWAmg0MUr0jTOP/989bnOPPNM4/63DsUTrBsXXHCBUk9fe+21nv4P6wxzOqSM7TVGE6msa5CGXkAZNzY9ulFhphOoYOGqpbIyd42qOshdtEqGDBmiSEDmX7qXM++QuHEEamKwB8GeBnKQawc5j93D4MGDVQKaSh4ve66CqFOlRr7nem6e73oYPiueo9jO8EyQWAwLgRq9j2D80niV9/SCJ598UllCOXub5OFI1JBBlz478ihF4KWYZnMpMpE6YOf7pLEqr/ygavEt5QflciJ2FMmW8+OjqtVNzhc4g9Agj0Rd8JvI1k2pq1AbdBDJyexSseIEMvOobt57771CfUpTAd5bupQeNWiqSIZIhVBBGUSpPCRLkL5vnAvqRMhTglnUeQSytjfixVmJmlUyQqJu255aOT+em5T/UZbOvdJeurFA4qFv377q7yFQHn/8cUVSoPikzBzVJwH+LbfcopQ9KKT69OmjmlJF47DDDlP/P/p10UUXiSnw/BA8EqARPCbaF6VLoGrozt88j6jhTEI318BCAQsSB4d0wXgi+fHGG294UmxT6YD6kXki5f4LFolU1kDWd+ajZFXoYQUJyaG/jFbf71GhhlSuWEnNnx07dlQEYBjsejIVjGHiZpK87LcA1QR4a9NMkf2cV1QoUz5fTLZkzXIJC1gDSawzVvDuxmYqLARq9HrNObLXTXR+mhz+4IMPlBiCvaaDd2T+jFjEoFV7ZZ0famBK1LThSNRdxrD2N/WK9Xkq1JxSpYuMuqlYoFoTkfI1RbZvEVn0e/L/f6Yu5Xd+qJkCvLFOOeUUlcEmMDMJiE6UDAAv0nRVOl6IVDb5lC6j/oM0CtL3jWtLuRsbcDxPCfLSbfBjA0VNifpvOX/yJCpem1dffbXcfvvtyisOArBnz55xlZQo0FDx3H///bt0R9aBDfed4Ibj4F326aefKhKgR48euylUUVYytvXLNDFIgIzChYQGwSPnbpNA1SBYpTwUMofPbhLYJXDPaDKlLT8cHFIBimme/bffftuTPQRJAYhMKgpM+UiaJFIheJnDUMiattMIAlxvmuWRlPpjzp/qZ+2bt1UWQZnu7xrWkn/2bb169VLzN/6peARDKlJdlIwadXGISFT9+Ujq86I6gyqNsBCoGqzT2C2QgPRSPcJzQDO8M844Q6myHbzBkaghw8Ytm9XXMqVcGUF6JGrqStS0QYdy3eiqGEN7ouox7RW6dEP/f4cMASRXgxRL+rdtEZk9JvK9I1EzBldccYU0b95cBY+mMWvWLLU5hbgxpQ4pjEjVqlc2+Gx6gyrlQ31KB2SIKtSHqGQg2IL2Y413rlqxWSrbHyWVX+X8qZCo+GxCZg4YMED5G0J8Qoa++uqrMf8etQhNLElExBtv7777rvTr10+RGevWrZPrr79efYWojAbvo5t/8LIRtDEGIXRRZzM+C6pDTROoGlxLnl0CwlRKQwsD1/Wee+5RZf2m1a4OxQOQFJAPrIN0uk4E1hrGMuRSweRJGIhU1LEkMFl7gzo/U6CcnATMyJEjlfcpDXeyK0dii4Y16gZ9ekUeKDdRp1JZQcKA+wGZCkGfaL6tVal66JSo0SABikIbv/6CidIgCdTo8yNR+Ntvv3laN8855xw1f2FJYnqdLapwJGrIsCmPcHJK1ODK+dPG6vmRr1WKd6e7cqVTK+d3vsAZDE2izv0puf/3zziRLetFytcQqZPYDN0heHz55ZfyxRdfKB9U02V+S5YsUZtQgjjKok0iFpG6bds2tRHmK5veoHzfUJ9S+sbnRwkLQR3mEsroDvY2lKjcG10C6NemPquEJlF3JE2kQCB26/ZvUzzuHf9GrZIuICUJRCGu8TBDGRp9TVDAoT4hqLvxxhvjKkVNEKl0J4bgh0iF0LVJoOr35Lh8JiwQTOPKK69UnYm5bg4OyQISnmf91ltv9fT3jGHGtM1GUqkSqfhZsi5iHZPJDdcg6KgqQWGO0pd5mIQJTfv+WbFI/U39aplNEGcSGO+MJ0hsEsM8LxDbjL14ytQ6VWqGmkQFJEJILJKAZ98WFgJVX3OqWWh2hy2Ul79/+umn1Wd56623fDnHTEfRqL8qQtiY5yVYprRToqaEqo0iXzesFNm0VqRMABPY2oWRr5W8d5Euiki1nF9bWmgS1iGD0OiQyNe/f0CmBouQnB/qXod7/z8OgQE1wYUXXqg8HCFTTAJSBpUOpWCUhNmAJlIJsCClaBDApl6pVALoTso54HOJ+pYmVjS4CDN5WtAPFWTneYkW9hlRAuGnyVcCJ/2K/jdENuSgfml888036ivXhc0+XyHYUXDyNfoV/bNk76e+7skqUVFNQ/gW9NDl3wRVJsBnefjhhxVZyotghwCOzroEc3Xr1lVlxahVGU+ffPKJ2IAmgLhWEKmMV9TTNghUDUhjCB88WQlMTZYY8zlQCzPn4FFLkO/g4AUo6ngmx44d6yn5hs8ohKUmkoKGJlJRa0IC8WIdhGzMRLC+MPdxjZkjjjjiCClbdteqtvkrI+XKe1a3M1c5FA7sE5hr99prL7Vu4MOJapKGbNHewDUrRsbg8nWrJMzAcoZnGdKe9Z4mTUETqBrMSazLJHJ5phPtqbGMeuGFF6R///7q2WFP4RAfjkQNGXTpc9lSjkBKCTkVRMpWEdm4WmTNgoBI1EiWUyoV7wU6upyfYNhrOarzBc5g1D0g0hRq4yqRxZNE6rb19v/+Ghz5und3q6fnYE65RWnW2WefbfS4eB4SzFH+hTLMJiBSCR5RfkK2ofILgkBFfUq5FfMj6lPKrzIFW7dtzVeh6vmduR4ylM+lXyghIEqBJjijiU4akumfEURpkpSvKDzxhuX+YOvA8SFkISwLkrEQmdE/42+5pwQzvAfXlq8EcfHWo3TK+W3j0ksvVSoxiEtUPRCmI0aMUF2ReV60ShQikwAIUp5A1QZ4LzzXUIdyTihgbRGoGijKUJNBHvO9SaKH5MX//vc/VdLIdfXbp9Ih88DcBNlA0gJSKBHwMWauRx3G+hMWQKRCBKGeo/ohEwlU9g74bqK4g8iiLDnWM8yaoJWojkQNFqzDVBuRlJ86daoq8ychx/6Ptb5snphMV+iGGYgJSJDwYi0MA4EaTYxyXREnkLxJ1MTuuOOOk6OOOkoJJag2C6OVVFjgSNSQ4V8CySlRU0blPfNI1H9Eau/j73sTeK3PM2WuVLwzOFpJSjC6aetmz6SoTiQ4JWoGgpLexh1F/vxGZNYobyQqjdiWTBGhoYsjUTOijJ8XxInJzRXBDQEmgQ/kjG2geKTRBJl5iCAUEWx+/dowQgROnz5ddQfPJPVpQRKV4HXrpi3q+mnSFHKBAAnCErKPz4ZnJyRpsp9RE9uQrMl0sGY8cR6QqZC4nBdefxBkAEJVk6q8GHecW1Z+Y6nkyvlRhhL46ZI+Df5twlfwsssuk6+++kopMXWCAUKRoI3PxFdUqVwn3eSNsWWLRAW6iRXnw1jmXttu0sJ7MD+g+oEoMWm9wTX++OOP5YYbblBljQ4OhYGGZDzzN910k6f5HhKDZyVs6i5K+GkkRQIGMguCF1I1E0AyDeIUApX5nAqTwtR2K3PX5FfH1a22a9WAQzDgfqHcXLZsmRp/3E/I/Jy83jDEj2EH1SYoUNlDshdiP1GwKiVIoPIlyYzXMfuGRPtcLINoNvXmm2/KWWed5dt5ZhociRoyOBLVAPAiXTz5X2/SJEHQdskll+R/nxTWL40QqZQ2VshcPyETyM7KltLZpWTLtq1JkqhOiZrRaNIlQqLOHCnS6arEf8/fgoaHiJQLX/dxh3+xcuVKZTpPF0/TZfwEcigSyJTbJjJ1EylA6SLqRd2d2w8iFVKPMlCQcerTrVtVsEMH17/mzlQBT9UKlVUZJUEDwQ8qjCBUvdHgHkLa8uL66vJvyFUsI7RCNppYRbGxYMNiRbBrRWqyZXPDhw+XPn365BMn/BtyLlVwvpdffrl8+umnSpGLSicaEDKcNwkBVKlt2rRRnwnYVIYW9EAlcOQZ6tixo3UVJ6WfBIQkXVAymXpedVk/ZDRl/V6aBDkUTzD2H3nkEVUm6yW5w/PBfMD6EiYwV0Bc4YHKPEIShGoQEGYilWtJyT7kFXM8xJAXD1etQq1duYZr4BxCz1RU0QsWLFDPy4J5EZ/eDXkxYVhR0AOVRCZJPpKZfJ6wXF+qx9hDzJs3T9n/FAbU6JT1U22Gn3DYEj9hgSNRQwRVBpeXcXEEUhqonFcGuiY1EpUF+ZlnnkntvdcuiHytUCdCpBZzsEmBREVdWrV8cr7ALpGQocDXFMz7SYR7mciaRJOoLXrbPzeHtMv4CVboZG0SEFoEchCa8bqUmwy+2ODqJlKQfby0R6ptIhXFD2oAFIJhbxylAUEKacoL8kp3gt+3VUuZV3KV1KhUTW3QMwHcVwKd6HI7TazSYffn8ZNk1vxZUmVrjtSUiupzQsJ6GQ905ybo4BmB3MMzmBLeAQMGqN+j6CD5cN9996l/o5Rl3OvvCR4ZG5CQqJN1Cf8777wjn3/+uSI4uAeAc8Lrj5J9ft+7d28V6EDujBkzRiUjIFRtIFYTqRYtWqhnC29IiFTGiO2GGQSEkPgm1bYci/tDWT/EtCvrdygIkm6U8dOIDMLdS/KRJGHnzp2VcjUsYC1ijGsCtaBHaliJVDzMSaCQ0GOtZt7zul4vzWtSpJsWOYQL3Eet1v59baQZ0sIli9QepKC3bRgQq4kUazyJep4h9rT62QoakLvs09j/8pwnWqOPPfZYOfroo5VwguozV9a/OxyJGiJAoOpGCi5Dlgaq5C36qyNZLF/h/FB3AcmAtRvXy6YkMolOiZrhqNVCpEJtkfVLRP4ZJ9Kkc/y/3bRG5O/vI9+36OXbKTokD0qJv/76a+Nl/ARClDlSbmR7s6lLKgmCNYEaq9mUDSKVtR11BcF0+/btQ1XqFetcUWlq4pSgFWUChCIln5pYmrd8Yb53aSYjmlhttu4f2VRmpzSo3UARq5TEozTjs/PSZfuxcPLJJyuV7m233aauGz6JgwcPzr/XKECiSXNK8CEDNWhQw6tLly6KIATPPfec+lqw2dFrr72miBwUsDTm0IQtpA7JjmOOOUYRsybL3eMRqNHNpggetSLVZtDL54KshrT10jAjGUBcU9YPSfbUU08ZO65D0cC9996rxh+2D4nA80DVgVbohwXMPSRsSPYwp0UjrEQq6zfzMdYhqNG5psmS0ms2rFdfq5SzazvikB5YJ+vtEal22rZju6qyYO/BWAzLfiMWgapB5Qvj9aeffgpVozbUvhDUPPucV6JrSdUZZf1vvfWWcfFEUYAjUUMErUKlBJpSaIcUUaleWkpUAkjUNoDNRVIT9tqFka+VzZa6ZirK5KlJNybhaeNI1AwHz8teXUR+/0Bk+tDCSdS/vhXZvlWkRlORGs38PEuHJIAKgJLiBx980GhZD3Pt77//rsgWfDNtQnuuQjRBlsYqwbRFpEIUQzytX79eqZFs+0amCrxhIfp4cc5suFHmQQLGIuOy8qotdoSwCVOq2LptmwrM69WtJ20b7qNIELzOIEUZqxCTKE0oh4O4Kzg+KN2PV76viVGNRo0a5SfO4yHR7wkqaY62y2fYulURN/wcMsQUeROPQNXQja0IHnmGGOumSdxoEJhCpHhtmJFMAP/SSy8pQhoVcaaorB3sA+9NEh00d/Naxs8zoJXlYQCJHuaHwkrgw0akavUpFSSJfE8Lw5qN69TXSmXDuQY7/IuyeWKy0mVz1JoD8ae9v4NWpRZGoEav75pIxbYpLPs+9rWQ0lh5cI6J1lgSiVgckpjFP97hX4S/jqwYQTfUcSpUU0rU+SkHkmwsePF9UliTR6I6JapC2bxSbq/dFQkYHYlaBLDPUZGvf3zGTY3/dxPfi3xtdYI/5+WQEu6//341H1LiahKQdSSs2CDbVhcQ/EKGkX0vjNjRRCqEEarbRCRWIkCc0gyIzXQYCVTOi8AEbz8UjShQIcLo+I5iluA53vXKylNVohQpKti6fZv6WiovkQ2hytinNL579+5KYQnJxvUaOXKkKieHWA0TIHdQmFEWSWm/tgCwSaBq8BwT5DLOKRtkfNkE5BTKaALsdJ/VaKCMx54BVartz+CQGdD+xKyDXoh1yvghWlCbh0U9RxKR55I5PlHDO02kkjzCfzQI6AaMrKGIWkiWpKM6X5unRK1cztl0hB3al3zb9m1qrHbt2lXtRVh32TuanO9NE6gaKKZJuJKMILkZlv0Bc9KUKVM8cRz4g1NVQ4WNw65wJGqIoEueHXlkyBMVf1K/gzutRK3kTJh3UaJ6LOcngN22PXLP3HOQwdi7p0jp8iKr54rMHx/f+mLmiMj3+5/q6+k5eAeeiw899JDyiTbp30mpNH5sBKN4NdkEBBCBGAGhl/cyRaSi+CH4Q8mJ75xNVV6ywNLgr7/+kiFDhqjNNIoDSEKuESSZl3utSdRkO9lnAomaXXL3aiCIEJQYkIQ9e/ZUBB4+plxDSDzUUmEB50oXe4IflJqM/1THsVcCNfq9+VvIZZ4fPxpmkCDRDbVMga7rJBgGDhxo9LgOmYnPPvtMKTjvvvvupMr4w5I4g8SBzCExlqixTBiIVOZTkkC8L4QVZcXpesr+q0R1JGrGJDSzI4pv9k/M9bzwEmcsUyUVVgJVA5sbEn2sw0ERvwVBYpiKGtTdic6JNRY1KtUZ7HMc/oUjUUMEXfLsyKM0UTGvqdOObRFfxkA8UR2JGj2WvZbza7KVDKRWAjlkIEqX+7dR1OSPY/8N5f47d4g0OFikurnGIA7mwObqiiuuyG+WY1JdQoBJKZGXjrrpBmK8FxtvmvF4RTpEKn+LQpFNPoEf5VNhaSCF0pSNM8QfxBMkG91XCfaTLZErmV/OX3RIVFQvoFSCYB0/XXzPKNNDYQwon6eMnTETlmCJQAn1LIEfRCjlsDYJ1OjrgxoWkpn3tgma0fF885wmXT1UCGi8gdfs9ddfL6tWrTJ2XIfMA+PqqquukgceeMCTEjJsZfzMR6yDJBFZk5KB30Qq6wmVI9HqU1Oekv8qUcNBbDvEx+atW/ItDqOhVakoKlGlMib9WG9TIVCjk4rMISSswwLmAZTpXtZn9ofMf1gVFaX9XroIx67eYRcCyZXzpwnIt4p1g2kuhfoVOBJVoVySStToUv6wlD85pIjWfSNfJ3/KrnjX37Hh+e2dyPf7n+b/uTl4Ah05IQJppGFa3QqZg1LOJlDCcf74eqbi5ZoKkcoGk2AT5R+bba+KH9tYvXq1KkFH2QOhS/Mizo+AJNW5NquEVqIWvXL+ZHzpCaggo3v06KEIh0mTJinPMVSMYSBTUc9C9KLawcvRq3onVQI1+vnBEoJnB8LeJkjGYF/gRVmTDPr06aM+/y233GLsmA6Zh//9739qDSGhmIll/BBAVH+QDE0loecXkQrRxBxFubYp9Wk01uYpUSs6JWrGrMU52btX8JCgYF7WZenjxo2zWi6fKoGqAeHL86M958MAzol9i9eyftZAqj3efPNNX84vE+BI1BBB+0Y6JaoBVKmfVnOplMDGPV+J6jxRoxMCqZCoDhmOZkeIlKkssm6RyLSvdv3dtK9Flk4TKVVWpNXxQZ2hQyGAaKHL93333We0syjKUMrI2fyaDI5ikZl4v6E+JYueKpIhUimRR4kIYQlJGYaOrCgNKCMjMGXzT8k+5egmmg3pxlLbUZQXOSVqdkqKSBqkcY0h7iFTUVNh6xA0UKARAPI8oJiF6LFJoGqgJIMIIcg1qRJNV1njFZBgTz75pLz22mtKyedQ/IAq8tFHH/VkaaOTaMwDYSnjRw1OZQQkTjqWMraJVBItzJesTSbVp9HI3RxJIJXPCbYxkUNibN4WUaKWyorfwI21CVUq+zLWNRIFYSNQNSjpJ4nBviDR+ut3WT/WWl72wsyD1113ndrjOjgSNVTYoJWoeeo9BwO+qCk2l0oJm1aLbM0LEpwSdRcydFOS5fyORC0CyM4ROfj8yPdDbhfZnpcl5uuQPIPy/1wqUtZ1ewxzM6lzzz3X2DEJMFGKNW7c2DrBCOGJEpUy33TVQF6I1E2bNikCFSKN8umgu8dyPloRCVl9xBFHKJKJ8zMFTYJzX8OguAxKiVoQEC1YVWCTQJAHgTh27NjAAw/uF8oTmiZxPjR1s0mgavC8o+JDFZ6snYBNZY1XQIj93//9n2syVYwtbQYMGOCpmdScOXPUGAlLGT9zDmsuz7IJUtcWkYrCjUoJEp48w7YSrHqdKplXReGQOp577jnVcBFikRdNO7/55htjx9+6LRIz5JSKT6ICEgPay51Km6VLl4aOQNVgT00FFnsCv/1cC/NsJYGxZEli+8MTTzxR3XPXZCoCN4uECJpo0iXQDmmgyp6Rr2t8LOfXKtSyVSMKO4cUlKh5auxSjkQtEuj8fyLla4qsmCXy80uRn419VmT5TJFy1UU6XRX0GTrEAJtGG82kZs6cqUiUFi1aiO3zR33DxhpvRhMojEjVZdKo/FAamHrPVEBJG358w4YNU+eFIhbVrw1SV5fzF6WS/nSUqAXBONDKVMYGYwRV8Pr1EV++IEBCAZUs3bl/+umn3QJO0wSqBu9HsIua0ybhTpBK4xzTZf26yZQrZSxe+Oqrr9Qze88993hKXEG6MNbD4IHN+ZC4gJjEtsUUTBKpEM6o4GgUxDFJuNiEnhNC4rKQ0cA+hWQ76wXPCIrQ4447zpjv55Y8ErUwJWr0ukaSmGcPgpK9Zrrzv2kCVaNJkyaq2SjPJg3oggaJdYhdnsNE5xPdZGqyB/VqUUfws7xDPpwnajiUqAQ++B7xSioYXrsw8tWpUHdXouaRo4mwYUskM+eUqEUEORVFjrg58v2gG0SeO0zk21sj/+56g0gZcxsTB3Mgy0zG2WQzKcr48Qm1XcaPug6SEy9GGsOYRCwiVXu4UbaMUimo4JnNL16zkKeoCtj4E5Sa3PwXRFbUZ91eBBR63M/8jsAGGxtCHhLgoQZmT0EzDAgISI6ggFcvii8CzsWLF1slUAHPBfMJjc2YB2wra0yX9fPs4w196623BnrfHPydU2+44Qa5/fbbPTWTggiExLfdLNHrufNssy7ZUMWaIFKpFCGRg90Jns0c0zZ2Sh6JKo5FTRfHHHOM9O7dW1U2kCxkfqRknXtqAus3RaoJyuV4jwdJoLFHYy9EIi1VktIWgaqJSNSc7INNJ/tSBZUz7E0gnxMBEcT555+vEovFHY5EDaES1RFIBqA9SfFjTCErM3DgQPVKqvRxbSQQkUrmMr6ZDm1NQWCqg1MviYRkFk2HkOPAsyIvsGCCCOq1w64VOSiv1N8hVKAE/MMPP5S77rrL2DHZJPpRxg+hiQ9qq1atVPBoA9FEKp8JAhVVAT6jQTURwV8LYo6GBRC5nJ8ffqzaE7Wo+KJGr1HplPPHA2pgiEv8/vDPHT58uArUggqiUBIxXlARoR6yRaBqsJ+CeCFQQ9Vps6xfNxwxWdZ/2mmnKTLt2WefNXZMh/DijTfeUIT5BRdckPBvSVwxpll7ggbzCeQmX5lvbK1L6RCpJFXxP4VI6tSpk1pX/YCeasPS8KuoALLyvffeU8kryvpNYMX6VeprjYqJExjRYI6GlMcfFYulZJNeNglUDcY9iX72bnguBw1N7HIuXptMjRo1Su1/izMciRoiOD9Ig6iYR2SuS+zxYQzr88riygefhQ4L6KqolVle1KjaF9g9A0UIkBHHPy1yyXcih1wkcu43It1uRZoU9Jk5xMDNN98sF154ocpMm/Q7Q3Vis4wfmwDKozDJN3nusUDAB0lD4IjKkMA5iKCMwAVFLP6WKAsh5yB0/ToX3kfP72EoSzO1B8vOypLS2bFLCLG4YHzRqAkCAbVXPEDi9e3bV/091+rxxx9XP8eb8KCDDlJBFE3WPvjgAzWe4h2TIBA/zurVqyulD8f04l/mBXiVUl4IsUmSwxaBqkFQCnFLWT+qVFuA4OGz8XyYAmOdRnt0ard57g7Bg2cOBerdd9+dsBkTJekkHymbD9oLG9BECpsO5hibVR+pEqko3/GuZK3mHEl6+I2wkqgQ3+yVIJlR6DLPk7CFoEfprK8fP+N3/A1kITY+QSTjKOlmTSJBdtFFF8mnn36qKgFMYPk6TaImnxDmOcSbnr0aDadWrYocKwwEqgbrPeOfygxdDRIkSLzzTHpZM1Hb//e//1VK/TAoaYNCcMZdDrtBk0yunN8giQqxSZlhEoSNLtEElIN6Xmxz80jUCo5E1eDaMZ43bN6oAtSKZct780R1JGrRQ922kZdDaEFWmQ3nq6++auyYBARs/m2W8WulqyY0bYP1gfdr0KCBClYhy/wmUlEwcA4EoPieBtUJGl/UHbKjSHii6vLB8jmx1/33339frr76ann++ecVcQAp2rNnT0WExirhZZxAUPbr1081JioI/g+NX1DLYKGBbyFd4Asek//79ddfK4U43qqXXXaZnHDCCer/pQuCcUgXSjL5ClFr0j8xFiBqeT+SHhD/6XQMLwwE86h9eUZNlVgfeeSRyprh4YcfVgSbQ9EEamOehVNOOcVzMym8hoMGpBqe2JBAfhG6mkjledYl1fHWaZI1zG3sByBs/IYu5w8KXAM8sUnCoNqErKcqga/6e8YSeyVINhI3vFiPdGNCStUBf0fykv/DV/4PZCb/T7/4NyRnlSpV1HgwvUchcTBx4kT1eT766CNlg8ce0gSR+i+JmpwSVYPrQcKOMcdaiSqb6oswEKga3BeeBapA2Mdxr4KEXjMh6EnIF4b//ve/ap7ENxprh+IIR6KGBNHlzo5AMgCITBaLHdtENqwQqeDda4fAR09kLHaey0y0EtWRqLuA8axI1Dy7isLg1NgODsFt7q+//nq55pprjHqTQaCS4bZJzKCAoZzy8MMPt+5JSrMmlJ9sMCl/Yr3QZJYfRCrBEpt9AncCGAL3IJuYEKiwd9lWhEjUCmVie+k++uijyguMTt0AMhVyk6QDioyCQGnKC8T6vT4mf0PgRjDav39/Nb70MQlOX3nlFXnnnXdU4w4A0UojCLznOnTokPLnLeiBSkBHaT/qGNu+jnjoQQqg4DPpvRwNSASuE+/B3GAiicPz/cADD0i3bt2UOtg24ezgP3jm8Hd8++23E86tJAmZj3mGg24mhRqRxBokvx92LskQqewvSDbOnz9fKQSZa4JAybz12Y+knyZMmecYU/or5CckHXEmc5T+Gk2AxurHwf0dNGiQsuuJVu/yPlTiaCI2mphF0UqTTdSq/B+ScFx7XnyflFAoBkiAac9d1hHslJ544gl54YUXJF2sWLc6LRIV8NlI2HG9Wdu4hrGalwVBoGqQTNBJcZ6NIFXSjEEqxlCj8kwXNqdVrFhRlfXjjYo3rm3VexjhSNSQqVAZsPHKyBySAN386P6duzzii5oEiZoy1i+LfHUk6i7QympNkHryRM3zUnVwcPAHX375pcrYf/vtt8aOSQkVQRMEhq2NIaQmGz4UB0l5WKcAghIILhRKEKh8Ju2R6geRqjfaBFh4fvm92Y+FsqVy1P7Fy/weduRuzs1XosYiSyAcb7zxxvyfsV+DTPvxxx9Ter/oY0LKQ5Iylu+44w5FRhAc83sCP95HgyAHFTTvmyqJGquJFOXvBPjYCXBcW77CgGcEH+ERI0aoUlXe2wawUsBOBPUWxK0JcG26d++ulKjYOzgULTz00ENqfkcRngh4CEJYhqGZFAlL1iPbdjbJEqnMYyQyULdBEgWptquQExHF5G6ONLE1CT4npCWl2SiCIU35mSYuuR50j4d8Mkm4M5dCkPKKV5FC8pVz45x4UULOv9lLcG6sPySE0vWmZf2AwDWBdJWo0eDz4dXKmllQNR4kgapBsg+PUdYpG43gkgHzB1UpeOwnmksuvPBCeeyxx1TC6ayz8npfFCM4EjUk2Lxti/oKgRpWr5aMQ8U98kjUxSJ7tLH/fk6JGhPl8lSlunFaPLDZcM3VHBz8Bxtsssl0njYV4OjAiQ2hraYRuoEGm3/bijCILDbgBBwFm3XYJlLZ9FOiGRb1aTTK5ZSVVblriwSJWpgSdfny5eo5KVjixr8JwlJBwWPqhkjffPONInFQmkI8oPYpqNzi/6TqoxaLQNWg3JFzggghqPTSlTxVoLiCVGCeIDFhIwnCc8K15NmFxDBV4oxSkcQNVgtBB70O5sCzgU0HJa2J5nASeMzJEINBA8sK2wnLVIhU5hMU9sx1XCeUj0GifN7crud6E2szn425mBeJMQh15hrmHfZTYVirUQkyl0fP55pYJdnNuaMU5nz1foq/LWwskfzD3oSEHkpXqiUgAk0k4tlP5G6O3KPqBkhUQLKDNY21gM9OUi0MBCqAzGbt59xY24OyZwKMV0hdEro8v7FU0Ro5OTkqmYgi9eSTT7YuZAgbHIkaEmzZtjW/EY+DIVSsLbJ4sn/NpdbnvY8jUVNSokKgsiGJ/j8ODg72QRaZsnQvXYiTbSZFKZXNMn7K4wgcbYJ5iVIwCBg2urECC1tEKqoOlIFs+sOiPo2GTnjppoCJQNkh5EPBssPoF38DQc4L8hoMGTIk3xsu2vutoAdctBdcstDqpFhKVD+BUmjw4MFK4cFnMfkMFUagatCkTDdqw6fNprciQRpKVBqU2Crrh6DVTaa0vYIJ77jTTjtNNR9i/nQoGoAc79GjhyICEwECBrIpqNJ0DeZIiErGZNAkZTSRShIIgoo5HgI1DE23KpaJJHTXb4pUHaR6vTVpCnkNycQ4QFmPej9TypqjiVW8u/lcfB4+F/eOtVYrVPla8HPxt6gPWVNQ20IaQ6Ci0k8X81cuzl+L9T0zAT4r+zQqijh/yF/+HYZ9FesUyk+qjTp16hRoMoT1kso0kkSJ9h+nnnqqPPjgg8rC4YorrpDiBEeihgRb8pSoOaUciWq8uRRKVNvYvlVkw8rI945E3QVl80rztWVFoqZSPAPZdHR3cHCwDghCOk6TSTbV4IXNOMpJFJu2AgqIOIgXyCBbjWmiyyQhmSExC1OVmCZSIYghslBQcC0LUwQEXWkQK0nGOIj2guMrHnGxGmAQxKDg4XsUmVw3rjWkKuoMSvH4f9HNNDTpyjFRA2lSlvfl+Nr7Tfu/JQriC1Oi6uAYZWg0+HeqKujCjkmwh9KRslAU4hA2lPGn875eCFQNgmpUSow/Ajpbz7FfZf26YQbX05TnM83AUIbfeeedTo1aBAB5hP+wVlEWBp4NrfwMGigIgyzjjze3QQrxvKE2DwOBGj23J6tEJaGHnQ7JYeYprdiEYGJtKQoVpKy7+HPyYp3l87LOsP+BpCfhxRjThCPPii3MWTpffW1cq77xa8v9Yp2B4I/+PGEAa3wYyvq55qyZeNySVC1sj52VlaUsiK688kq56KKLrO/Hw4Tw7ciLKTZt1eX8xWfwFSkSFdsAUKKkSDl/Dd3DjjKlvSlR85tKlXKl/A4OfuGzzz5TJNQZZ5xh7Jj4xLExtVViT0DDph4iyHYZP75QvCBQo5s52CZSaQaBIoGSMwK1sAZp+UrUzRvVOCLoojwQwpTuw5CimsgkOOMrBKfXz6ODb8rbvFx/AIka7f/GteTcoolViDTI6ejz0OqkWCQqgQHkI0Rcnz591M8INPn3ZZdd5um8kj0m5wZ5jFcqRCrqUAIbni/GJL+zQaAC3htlEYodxiH/z9YYZIzwXjbL+nkPniUIJ9S1Jj4LAfhJJ52kPDRNNFJxCBaU8eM9zFhMBJKElDEH3U0bNR3zW9Bl/LFsdkg8oi5n/mDuLthsKghULBtRNa7zqERlLWGu1YpaiMQwVoSYBglMiHBerDmaQP7uu+/UZ2fuYz23lVz7e1mERG1Us77xY5OQZD2kKoFxinrbZsVUppb1s0dir8R+g2Z1haFPnz5y8803y1tvvSXnnHOOFBc4EjVsSlTXVCozSVTth1q+hkjJzCjl8DvITuSJmk+iuqZSDg6+BTuoUP/73/8ayx6jEMWUHiLRVlBHUANJpruV2wKBA8QOpYnJBMvpEKnck7/++kspEbwSXkFBldtv2qLURuNW/iIb5qxQQRfkJAEzig/IK79BwA4Zx0sDAlKrYXlRpgZ0uSIq2PV5HmzxyvmvvvpqOfvssxUxQAd7SBeI4gEDBqjfU9pIYMkzBbCzQMWjv4fsgPxnLGmVSaJjcg35Ob5jqD1Qv9EdHgLVa1OpZAlUDQJk3nv06NEqkDLVmCkWuG5cH5tl/ahrmZtQkvF+JnDDDTeo86Ws35aK1sE+mBOeffZZZaPhZV1gzotu9hZkGT8ERxjK+PWawDPM9dEl/OwtCjabCgp6bk+kRCXpxhrBXgMii7mP5ztTSvVNgr2LXk9RFWOjxHrA2gaZysv0Oq+VqE1qmR0vBT1QeW5IFEIaRzebChJhKuuHQP/+++/V2lmYmrxkyZJy/fXXq70P+5ni8pw4EjVknqg0lnIIlkTl4T/xxBPzv/cE11QqIYnqWYnqmko5OPiCYcOGqUDh/PPPN3ZMCECIKVsNaSBp8TaEuPCqTEz1ffAiZROZSvlvKkQqRN+ECRMU2cfmOYxqFwJ3AmRKX1GdzluzWJ139T1qSK9uvazek3QVHtHEKopP3VADVdm4X36RmQtnKYIze2dsywYaJ/DZKePm/2GxAOmiG0MRcEfbPUDWoSrRePjhh9ULJSQle16OCfBGJdFBJ1yeVQhWxodNAlUDVShJhDFjxlhVl/tR1s9+jnJJ7jfXwkTDFwgsurhzj1CkOmQmnnnmGfWsQq4kIgkhjyBcgkgQRUM3AqLcNgzg2nBOzGPRHqgFm00FSaRWKRdR9q3KXRPz93hkQrTxGZgjSFaRFHSIgPUdQq1x48ZKBU1SCkIVVTbWJqaeiTnL/jGuRI3VRAqlJfcYIpX1ISyWGDR2GjlyZOBl/Vwf9iLs69mbFIbTTjtN7WM++eQT6devnxQHOBI1JNicV86f4xrqmG0sBZJsLMUi8OGHHyb3Xo5ETdxYyrMS1ZGoDg5+gKwxRvAQfiZAAIJKwZZPXHQZf8Eu6Sahm+pAGBEspIpkiFRKH3lPVDuQbGHyleK6QzgSgEBwERxzbVApNt+WK2vHfSs55cuGlkCNBQg0TapChC1ctlh+HvSn5K7Ple9GjVaBP+QEnzM6mUqZfbzyfU2MahCQce0SobBj6j0JJA8vjgcJCJGDiqaw5yBdAlUDNSwEE8eySe7rsn5KLG2V9UPg0DCD0tR0nu2CXapRJd50003WkkcO9sDciwL8zTffTPi3K1asUEkuL42nilsZP4QPSnkI1ILK2LAQqbWrRBKii1cv2y1pClHE/gVCkOc5LD6uYYRuOsVLE88k5SFYKY1Pdy8Q7Ylqi0DVYM6mqoMSevZdYagoYM+BJzrkbtBl/ZrQRY1dmOK9dOnScs0116i4AiFaWOYlm0g/DetgBJtdOb95VNzjXyWqh0AmLTgSNS6cEtXBIXwgmME0PlU/x3gbVYIjWz5xuoyfkjJb0EQtm1gInXQ3gppIhdBCQRuLVIOgpGQa4ghVRFgIVFSnKE3YQBNgoOaERDviiCMU8cj5lsspm++JmsnYmVVCKY723buFUhZiSwBZOWTIEKWuosQ+DNANH1Bt8vxqWwJbBKoG5e+o75g3sCawBd6HcYWNhi3ynKAQwoRkiQlADuGv9/TTTxs5noO/oEEO6xbPfSJMnz5dEUVBJoyYlyn1DVMZP1UJrP+FWd9oIpUkCWRlEKibR6IuWr1MrcXMZczv+FBzXSGlmVsdgeodEHzMf+xz2MsMHTpUJapoAJmqqGz+ykgFaWMDStTCCFQN1hxISyqB2GOGAexHdFm/l2SsLegmatzTRDjvvPPUs82+qTjAkaghwZatupw/HMFTkVKibt8isnGl3fdyJGpclM1TorIwUkIZDxu3RJSqjkR1cLAPssWUB5sqVWPzTCBFSZfNMn5KimwGsJSm4XmHytJEuW8iIhVlE2oDsvyQtqbeMx1AGOJrx0aYDTHlZBAMnB+qxGhoEpX5O8iNfrrQHnk0ldJNiCCLsY1AqUaZOQTi8uXLQ/E5aXBCUIgitWBwY5pA1eDZ5v5D3ha2lqcD3dCK64zSzga4JpBPJAhMATXqE088ERqy3cEbIM6w2MDbNlHCDN9U1gZI1CDBGgJxFZYyfpSI48ePV2tzIiV20ERqnaq18pN+E6dMUupJlMWoZyECg24Ulsng3rMmsWaiSObaovhPdq2YtnCWbN+xXaqVryy1K9ewTqBqoEBlr8M6TxOxMICEH3OUFwLTJlAXI2JIdF3KlSsnV155Zb4vfFFH8Lt1h12UqM4T1SCyc0TKVk26pJ9NMJspXp43xI5EjYsyeY2iCDw35Y3zWNiwJaJkciSqg4NdoLz49ttvVVMbU4DMSWQ+n646lE2uzTJ+yCeURgR5pkuJYxGpEEU//fSTUhaGoakBzTQIhiEM2SyjisVagPJGVKixoOdrgh69j8lEaI+8KuX+DbTYAxD0E1xDqBJg45OLaphy2qDJVBIgjCnGLMpKmwSqvh6odVBvMYZtARIbtTlqVBvBrFbzkjAxpaql/Bd7gJdfftnI8Rz8wTvvvKPm+r59+yb8W8YLxKUNmwmvYN7BUgXCMgzlsjw/kE6MfRI7XhAkkVqudBmpVCZClE6Z/aea2yHY8H50SB+MSZo0sm9AKc0zg80NyWKvmDwvspa1btA8rTGeDIFaMFHIPshWojAZUBGFlQ7rO/uzoMDzgVoXy45EuPTSS5Wil+qlog5HooassVROKadEDUNzqaSxPs9fp3zyDUiKOrJKZuWP6015atPCy/mdL7CDg02gmMIE3pT3E+ocVDq2DPAJHDk+nqK2gNqQjR8kUUG1pQ0iFTIOApXPZMqbMVVs2rRJBbSU7UOWQgihJvGiUi6VlZ2f/E1k2RJmrFy/Wn2tVqFKXIUFQWGPHj0UWUCQhYIYBXaQILhhTKGqRCHKedkgUDUYHxAgqERRG9ks60fZBEFsA9g1cHxTalSC/euuu07NramWsTr4C5IgumlboiayqC1pNhRksks3boLoCUMZPyQTCRuSSyjmkkEQRCoJGebHiqUi167eXg1Tahrp4G0+ZJ3s2rWrSsJCqJF482KhMmnen/kkqp8EasFEIdU4YQD7MOxGECoErUbFPghlbGGoWrWqXHDBBWpuLepwJGpIsDmv6U6OK+fPTBI11ylRC0PZUol9UZ0nqoODfUD6vPXWW3L55ZcbOyZEB95NNrw8dTdkyqttlfHzHvhOQdzYbioAkUqHcAJyMvsEGEGBzTDXlrI7AszDDjtMKZySVROXKx35+9wM9kX9l0StnJBEJFnQvXt3FSzQNAzyMkiVCKQ/xAoKNbzLbBGoGhA4+AaiFIWAtwGtFiUQJsFhKyiERE0UFHpFnz59VPA9aNAgI8dzsAueXcqNzzjjjIR/Szkt60OQ5CVJC8Zq0Ek3DdYOnk2SNqkoBv0kUpkbSRKS4Ghar1G+L6qDXWBPxHqJMpVkO6pUvhaGSXlK1DYNWvhKoBZMFDJm4nmO+w3Wd8QEQSZt2a9yPbm2iXDJJZfI559/bs2SJyxwJGpIsDlPierK+Q1Dk5paKWoLrpzfU0l/4STq5l089hwcHMzj1VdfVUEPZJkJ4Ce2bNkyawodHThC0toCm0KsW1Aa2gYl/JBPvBfqpnjNpmyCQBJSgAYQbMpRMuIBm2oH2Iply6uvazesk0wE139lXjl/PCVqQUDoQ/JR5k/ygAAdywm8e/0GymYIDUrgGV+6tN8mSDZQtgkBYmv8ErDxPjT4sqVGRUUHkWYCjImLLrpInnrqKSPHc7AL7tM555yjEluFgWeadQjSPUjVJ+QQCbhEqlk/gD8iL8imdJKbtolUkhqoT5mbqfpgnWtYq5763d/L7CnpHXYFewuaUrKPo4KDfU8sxf7W7dtk2oKI/2ebFJSo6RKoGiRLGCsov1lTgwYWN9hlsc4HZSNEooQ5kJL+RNUWTZo0UT76zz//vBRlOBI1JNiS5yXmyvkNo3yeKXWuxUlw+zaRDSt2bWblsAt0if6mPMV1QeCnp3/nlKgODnbAxufZZ581qkLF8wo1JZu8TAwcIU/ZKNtuWAVQYOAfB9mFOiNesymbICDA8xRSgJJ9go1EzUASQfuIrs5QEjV38wbV+BDVTJVyyRHJqHZRZdLVGbKfLs8EGX7dz8XbSOMAAQAASURBVGgPVAIX7ifv70cjCsYxJLzNsn7KhFEEkawJMij0CsoYv/vuOzVvOYQXKKQ+++wzpZhKBMYHXtypJplMAGKINZCy3qDBOkYi0FQjJltEKnMjax3PNmXllJfzzO9dJ5KQnbEosaLOwRy49tGqVBKPBVWpfy2crewNK5WtIA1rRMhuvwnUaOUlxDuVJmFoGMhapUULQYF5EE9oEiiJcNlll8mLL74YmiZdNuBI1JB5ojolqmFoj1KbJOrGVUhZIt+XNdPpuqihTKnClajaK5VFtoyztHBwsAKaSaGqOf74440cj40lgYotL1TbgaNuWMXxUdXZBJ6u+IJBCumuyrGaTdkCXmQEvviwohomkOEzm2hOUrl8hFxYk6Ek6or1EYKuctkKkp0Vu4FWIkAmQCp06NBBlYhTKmw78IrVRIrSfoJI1Ki2SxEJptq0aaO842yV9aMIQr1kS42K/QHJE1PkDc/UiSeeKM8995yR4znYwUsvvaS8nxNVUJAYQalsa43zAs6B5xnle9DNpNg/4OfNuZj0EzVJpJJ8ZV3HooeKDxSF0Unepnkk6swljkQNUpXKPghVKmNb731+mTVJfd2vYYukxrppAlWDtQcbD8a8Fz9Xm2CdwtYqaDUqcyF7nJ0JzoH5Fc/2jz/+WIoqHIkaAjDh/9tYyjXVsaNEtZi52ZCXSStTRSTFAKyoQ6tL4ylRN+SRq5CtqIEcHBzM44UXXpDzzjvPmOIStRvltonKIdMJHCEdbQWOkEwQXQSENgHBhAIVJQFqwWj4QaSiPkX1sXbtWqWY5BxMXtNMV6JGN5V65plnVOBE0E1QT/BUGD788EOllNYd5fl7rjGBHNf86KOPVmsa1zv69dBDD+Ufg/cr+Pv7778/aQJVg8DlkEMOUQrrJUuWSKaX9RM4MoaT6fCcrBqVucxUN+aLL75Y3njjDWterg7pATLk5ZdfVvcpESD0SJB4abJnCxAWnAMqsCDB801pPOdhw5fVBJGK6o0EFklL5mESpAXXumZ5JOqcpfNV+biD/9DzLmQqSQrGFc/l2Om/qd8f0uyAwAlUDdSoWPaQhA4aPHeM8SC9RlnzsclYlkARy74HexvijqIKx1aEAJvzSvlBjlOiBl7Oj/Kpd+/e6uWphFSX8pd3KtRUlaiuqZSDg10QlHzzzTeKRDVFDFLSY8snjhJKAkeUYjYAeUpGf//997daxk8pIcQaAWK8a2WLSC2oPuU9bBDeugR+dZ6vqAlAaH3/53h58ts3ZOCkr+SCl2+R2z96Qt7+/nPjildNok7+9Xe5+uqr5fbbb5cJEyaoMn18vWjoEAuoaE499VQ599xzleqJxkK8COpQaKJKpaSNxl0Q9txfPIkJIPv27bvLse666y71e/0qzHKjMAJVA9KH8yc4xXvXJvisNsv6UbyifoEUtkHUojTiuNgGmADBPMf84IMPjBzPwSy+/vprFeAfeeSRhf4dY4LnNshGThAmEPxhUKFC5nI+JItsnUs6RCqlzqNHj1YWKx07dozbILFu1VpSPqecbNuxXeYstdvQyqFwUDlBVQzjasyYMTJ2+q/q54c2PyAUBCpgrjjggAPUuktD0CABJ0HSls9tKumXyjmQ+J3jodLl7LPPVvtf9tpFEY5EDQG0CjU7K0uySgZvGF6kUL565GuudwUDihI2Wbw8+fxpJaor5Y8LTY7q5lEFoX/uSFQHBzt45ZVXpFevXsa6wUNyokCzsXG1HTgSHEN6oVIxWZIY630oKwQQWoV9FtNEKqo9m+rTaFQuHxkD6zdtSFvZw/9/ecT7cujtJ8mJj18mD331kvy4YLJ88/toeWHYu/Lft+6T/W88Vm794DFZmVeGny70cT59/2M5//zzZcCAAWrs0RSBcnKIz1h44okn1DN17bXXKsX03XffrYKtp59+Or9xESVtfOWeUgpLx1p9PwqWOJIw0K94ZLcXAlWD8U2wgwraVAf6WEClw/i2WdZPEoDEh40gVneQZs4xQdLynBV1BU4mg+ca79pEIgmUViiuIMSDwvTp05U3I68gsX79emWpQdKR7uU2kQqRSgIEEo75jrmxsHNUJcl1IpY6Mxa7kv6gQZIMEnTNzo2yYv1qJbpp23DfUBCoGhDyKFLZzzEnBAmtrjbVEDEV8JwtXbo0oWURydx+/foV2bXQkaghaipV2nlB2lOibrDoiapJVE3YOsRtLBVXibo18vNyjkR1cLCihoREvfDCC40djw1cQSLIZOAI8WQrcCSDTqmt7TJ+iGbKkPFk81LVYIpIJbDAf5X7Y0t9Go2ypXLym2KmoxKdNO9POfL+c+SWDx6TOcvmS8Uy5eX4dt3luGad5a4Tr5QLjzhFWtTdSzZs3igvjXhfet0/QKbOn2FEicqYnvrbZEV6RpNr/JtrGQv8PPrvAcrV6L8nmEepCSkACUHwgXK1ICjfZ7xDUlDqH8t/LRkCVYMxjqIbRapNHzXOhzJfW2X9qMWbN2+urqGN4xOYMicUbHSSKs4880x1LSCWHcID1i2av51zzjme5lF8G201NUwExiPnYHud8pp05Fr4ReZ6JVI5N8g0zo95EesPL8lCXdL/58LZRs/bITWw1q4sESHkGleuK4sXLgoNgaqBAAGrHPZmQV8r5gTsroLyaYVUrl27ticil7gDextbCdYg4UjUEGDT1giJqoMQBwsk6pZcka0b7byHLud3StSUPVH/Led3nsAODqZBiRvZcwgeE6BsF5U+RGemBY5+lfHjRclGv2BTC5tEKuVdBJ0QTXhiot7zowSU99C+qKmSqB/8NEiOeuA8+eOf6epY9596rUx84Ct58uzbpHfTQ2VAlxPlzn5Xychb35J3L39cde6dt3yhHPXg+arsP51KoLUb16txt3XD5t18B/l3PPUjP/f695AC3BcCMTzFogOKK664Qt577z2lHCbg+N///ifXXXdd2gSqvjf8Hz4f5fA2QZmvzbJ+CGjIbpMdvKPJbu6NqWZclKli7fDWW28ZOZ6DGbzzzjsq8cEzWBhQjfMc6yaAQYD5AhWsXyRRYclAqkNQ2/uJREQqBBKd0/kd3prJzIttGjRXX3+fa6dhXabivvvuUw0SqYyg0og5DLLOD4ydEfFD7bbfoWqtIgEVa/8TBIGq11IqLpgXgi7rp1qFKhmezaDQqFEjZemVyFaA+0TyhereogZHooYA+U2lnBLVPHIqiWSVSsoXlSCbQJaXp+66WolazpGo8eA8UR0cgsPbb7+tvBtNlOFF+8TZIOhsBo66vN52GT8elCj/2rZtK1WrVk36/6dCpBLkooBESYfHmN/ln5XzfVHXJvX/+GwPf/WyXDHwLlXKf+R+XWTMHe9K/y59pXzO7p52jLnDW3aQwTe+Kl32OUitHee9eJP8vSw14m5Vno+rWqO27bDeERzlBgEqiQ0IR4AP62GHHaYUq5SBP/LII/LUU0+pe5oOgapBsgAygoCHV6aW9aPA0X5wkKmmwZzGtYZAM4EzzjhDkXZBedc57D7XQGpzXxKB54Q1wraKvzB/T0rUGe9BgrWM582PMv5kiFQIVLy+mSNZ75LdLxzQuKX6+tvfwXU6DyNYly699FJ1bYcOHapsYHr06OEtFk4D27Zvkx/+iiRDu+/fSd1TEtF4k0fPn0ERqGEr62cfhNAACxq9Twji2czOzlZrZqJzZc4lDilqcCRqqMr5XVMp4yDIL5d8cylUG547q2olajlXzu9FiRprw+JIVAcHO4AQ+Oijj+T00083cjyIHzbUEJGZFjiyKccj1GZ5JBtrPCghZOrXr5/ycZIhUvlM3333nSLLUOSgUPAb+c2lNiRHokKg8gJX9DpbXrnwPqlZKfFaWrV8ZXn9kodUMMx7nv3cdZK7OXnya+mayPrdsE59VbZbsJs9/47X3Iyfe/17/PpQ9FBGjG8qKmG6SMdSbUIaQBIQLKZLoGpQ0t+uXTvVaMxUyXoscI4Q+Fhy2ADPFOPclGK04DNHYGjKa6579+6KTObZdAgeEHHc2+OOO67Qv2Ou5e9QWgUFbf0RxFxesIyf8wjSk7UgkQqxR8IQcoaKC5I3yaJl/WaSXTJLlq1dKfNXBqsqDBMGDx4s/fv3l5YtW6qE2MCBA1VCgTXIJn6ZPVlW5a6VquUrqTWduZjmYOwJeW+I1KAJVA32vpT1B23Voi2vZsxI39IoFZQoUUIp9bkniUD8gRJVJ46LChyJGgJsdkpUf0r6kyBRk4JToiaEJke3bd8es/GII1EdHOzgq6++UqQOBIoJsGFiE2lDlcIm2VbgSEBIGT+eabbK+HkPFKgQViZKH70QqfwOgo57QhleEGqh6OZSXsv5CYoe/+pVeeTrV9S/L+18qvRudIjq5Dpq1CjV0R4lzKBBg9TvKXXnZ3wdO3asUqjMnjFLbut1sdSoUFX+WjhbnvxmYNLnvWj1MvW1fvU6iqjELzH6HPk3gXos8PPovwecc6y/x5OY4+sGYzQy4n5BDDAuo+8tKhdUl7y/CQJVg/JMxiXX2JTaMhZ4D0goG+olrcCBpLXhB8f8w7mbUI8yz5xyyilFUoGTieA+HH/88QnVpfhYc/8LWnX4BZIcNAZkrQoSlAqTFAxaDRtNpDI3sj7wbHXo0CHl9Y5YY9/6TfPVqA6xAYmpGwTZxLe/j1Ffj2h1qGRnRe4pNkjsf1hHWPdJnAVNoEaX9ZMwDbqsn7WW62JzPS8MDRo0UHNVItFZs2bNVGUWgo6iBEeihgCb83winSeqJTgSNXCUysqWrJJZcX1RN2x2jaUcHGwFjmSBTZTeE1AtWLDAikKH7r90+2SzZQMoWCgBtqkuIuhkMwnpZcrqoDAiFbIHko1SSwJdP/xP46FqnicqapKCgJAgGON8IQ1R5t3zyqNy/1cvqt+fccBRclSLTkpRBNEHeUCQwudCtQn4Ny+CBvwMuS4okkps2i5ntT1a/c2zQ96W97/8WF0T7gWb+0RE2+I8ErVOlVqqrJ6S+9dff10pwS6++GIVwA0YMED9zVlnnSU33nhj/v+98sorlXKH8nsSAHfccYci0S+77LLdlMIffvihnHfeebv8HJKGgBASFTKWc+Z5/b//+z/p27ev+rcpAlWDZmMQEpARtspY+UxYcnBNbIAxQqLFhjUB94TnqKDCOFUw93Lvi2JTjUwCcz/WCl4qMlgrGL8kMoIAzz0KL7qWF9cy/lhA/cdzzxrLnJhuw6+2jSIVKY5EjQ3W7auuukrtPyhhtwXWoW9/j6j1e7bptMvveAZYr1iHWVdIUIcBYSnrx3ub6+NFDWoDOTk5aj324oPO3FvUPMLDMTMWc2hPVFfObwnlq+9adm8arpw/IQhKaBq1ftMGpTqtVHbXhTB3cySLVS6GB56Dg0NqgET65ptvFMljAgSXBDI2lACzZ89W5FgyTZiSCaAJCCHgbHVa1kEnKkTTSldNpFL+Ddi8oz6A6EONY6PBV7KoWqGy+kppPf5mO7bvyFdqQI4TKDF2eG0tV0IGTv5K/T0No+479Zq4x4Uo1UqYeNeV5l0/LvlDfpzxmwz5Z5zs16ylLFu2TJW5EeDwf1Fj84oOwqiKWLYukgTdo2pNaX7yyer/3Xbbbeq8UU5AkmpFGqRdNLGCKgZi5pZbbpGbbrpJJQA+++yz3QJOmkbx+fEljnVvn332WTnhhBMUkYpyHLIVlappAlWvxXivjhgxQn0eW41zIPX5PChuCfRMfwbIYNSopr2ZdYkihL+Ja496jucTRTX32CE4r0cSKjSVSrRWkLDi2Q4CuqFV165dpbiX8UdDe6BCojK/0lCKuTgdW6H9G7WUN777VCbMCbbbeliBNyqJ2++//97q+8xcMlfmLJuvOJDDWx68y+/YU7HvZP+DFQ0VKCaT1OmAsYf9FGX9nFNQYC0kcUzy2db+NpHFzvTp09X+p7D7cvLJJ8s111yj9h0oWIsCHIkaAmzOCxJcOb9lJer6iOLEOJwS1RNo3AGJumnL5t02bBvyyvkdiergYA4ooLT/ogmw+TF1rIJEGcdmo2wDZOkh4NLxKPUSdEK+2Ao6o4nU1atXK3UjhG2sMjvOh47z+K1v3b5dduzcoTxLy+eUsxZ8VCxTXkruLKFKYb8ZMUR2btymyHaISzbXEGm8Nx6kZ99/s5rzaQx190lXpf3eHPf2E6+QXvcNkG//+F7uO/26/BJUVEuazIV0JgjnnCDINuzcotQ2XBfOH6AiLagk1aCMtCD69eunXoXhggsuUK9Y4PmE0NSNwXr16qXuLfYbpglUDZ4FCGJUs6hYbNhncEwITlS28ewQ0gFKQY4NQW+67JoAD/9aCC0UR+mOTa3AcSRqcOD6Y62QSFXJPEEij2RPECA5hrIrqIZWAFUZymkTljSmCFR8xiFNSZhBFJGc4GcgVSL1oL3a5CtRWY9cJdy/YA0koUfViK19U8FS/kP3PlAq5K3DoKAHKl/Z/7DXQiEdNJGqy/pJFmLBYdvyIB5Yw1GE8tzaSooWhjp16ihFLvuWwhKmrNNHHHGESjzfcMMNUhTgSNQQwDWWsozyNe2V8+ObtTHPKNmRqIVC+51qwlSD8n7tP+Y2MQ4O5kBpsJdOxF7ABomSKhvEDgQqm+RUOtl7IWjJktvcdGvvONtBJ4E1AQ0KS0gkfb1W566V4X+MlVHTxsmMRX/L7KXzFIkaaw6uWamaNK5ZX/ap11R5wrXes7k036NxyqWrWrmFcm/Z/MWyscRWKV2xrHTu2GE3Aoq5fsDz18uCVUtkr9oN5IXz7sn3P0sXbRvuI+2atJbxsyfLu2O/lCuP7L8LmceLsYDSFKIEVdO89Utk5caV0qDpHoEHZARBJChQ2kDg2PZj5Pgovwl+IDltfH6UMXjEQqybVktDpKCUQ8Fu+loxbkmGYF2CkjZdQKK2bt1aNdWwMcc5FA7I8I8//lh5KicCRARzbBDzgW4mB1EYFHTVBkmoIFRt8RKUxAjMU/qctEdqOkRqk1p7Sr2qtdV6NG7m73LYvruqIP0EaxOWRpDXvEiq6e8ZF3x+3ZQHT3CuA8kwCH/9Yg3ha8WKFVO+d1zvyy+/XD799FOVNGTdtI1BEyPJye5tOub/LFYTKT4f/0YZS0LUZoPQZNYK1m3Oh3MLYt7QlRmshSQA/T6H7OxsFRegGE5UdUI8ct9998n1118f+J7LBByJGgJsziNRc0oF539TLJSoG7yRqASTXbp0yf++UGxaLbIzrwGBI1ELRZnSOTE9UTWpilLVVEDt4FDcQZkRyjaCRxNgg0TG2XSpOpt2Nn+2NsQzZ85UQYUtUiq6jN+2dxwqJV4E2ZSQfTDsc/n8z9Hy3bRxsm3H9rh+1GxWsQ3CSmXe8oXqNXrauPy/qVahihzSbH85tPmBypOsXrXE14rgjiCHF58bBUSXDp3kjwXTFYlakEDlPl/z1n3y65w/pHK5ivLGJQ9LlbxmVKZwVufjFYn61vefy2U9z8z34dZg7EIc8oIseGvEp5K7fI78M+NvmVB2ggpEglKgQUTjF4syFVJeN5Sy6ctIWSwqWFudyPG4hYScMmWKdO7c2XjQxDmTUOAZ5Bk3CUgZ5iUTJCpkMiTqF198IWeffbaR83PwjiFDhijSLVFzRYgrVOs2/R8TEbiawA8KzAUQcOmUyZsECVAqL5g/Cq6v6RKpzEcdW7ST93/8Wsb8+YtvJCqEKR7hfC79FQKV+TKaFOUFgci6xToAicrawLzHv0ncsg6T3Ma6ie9JGLC2MR+ylkFq6a9eiFVK+FEKfv755+oYunES/z9dVX4szF4yTybMmSIlS5SUo/c/PC6BqsE14Z6jkOV3tlWyXsAaQbKQBC0q8iDAdaAyg3EQhL3TnnvuqRLALVu2LHSd79Onj7Ir0vZamQ7HWIQAm7c6JWqYGkuxUMQq2yu0lL90BZFsR4IXBq0yJZCPRu6miB9q2RynQnVwMAVKsSD2TGzqIMBQZeGlaBps0lFZ2FC4ElQQdNhSCPjpHYdaV5dGr92+QV6b9rWMnBYJHkGLuntJzzYdZb+G+0iT2g2kYY26KjGlPzfzLP6fS9Ysl5mL58rUBTNlyvyZ8vvcabJy/Wr5+reR6nXTew9L24b7ylH7Hya99z9MKUajQZBGqTOkOkEspB9feZ9N83YoEnXp2t39xx8d9Kp89PNgRWy+dP69ux3XBI45oKvc8v6j8s+KRSowa59XrhkLBJRbs7arzX+vVp1k+9rNSuGCUpDNvZ+leRComjTlOYDw12WLXF9bio3osn7drMk0UOlA/PMZIa9NgoCaY0J2UlZpEtwHSG0U+CY8oI877jj58ssvHYkaALjuXP9EzxGJRwinIErpdTKR5yUohRbkHnN7GEql9f0gSdKpU6e4TbbSJVI75ZOo48UmIEnZ6/Ci9JvPoz3CqSrhayI/eOZo9jPMefGS2Ywj1miIWV4kBbinqFm5ViTCWV/iEaLPPfec+nrYYYft8vPXXntN+vePVHeYxCe/DFFfsfapVbl6oQSqBuQuCRF8cfE4DyrxqcG9IFHG/kzvhfyGTmQzhwRBotbIe0+qTrgG8cDcii81c7IjUR2MNpbKcSSqHZRLjkRNChu1H2o4zNfDjHKlI4t27uaNu/w83w817/cODg7pA9XTMcccY+RYZLdRN9jIskOwaGWFDRULGzpbhJgu49f+m7aA7yNNFWgi9dvCP+WSV2+XNRvWSVbJktKxwf7S/9A+0qtjt0I37+XLlFOvRjXry8FN2+6y/4BIHTt9goyY8qOMmzVJJs6dql73fvas7L1HY0Wo9mzdSbJzd6gAhyCMIKug+g+rALBs7UoVzOnzeW7o2/LQly+p7+89+WrpvI+dclXsClATffHrcBk59edCSVSSeaty16rv96rXSMo2LqM29dxTyiUZ6/zbtMIxEYEKUCRBlvtRtmi7rJ/grnnz5upzEMCbfs4hnbhOXCOTKnmOxfmiDjRx/Y899lh54IEHVGLHRvM8h9ggQUfA/v777yf8W+51UApMrSQMUlnH3AcpZdtKxAtQaKJsI4mUqEQ4HSK1U4v26uvkf/6SVblrpGp5M03wWP8gMSGCIU7x5oZogjBlrreh6gTM3yTDeOmkFecCiQuhyhhnLwFByXrD+UQ3W+Rv/QLv9fHPg9X3fQ/u6YlA1WCMsq5wz6kcDXpOxfYAAhOxQVDPMOeAZYkJL+9kUbJkSTWWdHI90Vr4+uuvy3XXXSeZDnt1Qg6eQYdY4EqZbStRd1fHpA19TFfKnxAE8CB3c0R5qrEhj1Qt55SoDg5GQHkXZvdsVkyAjTcbJNMECOdJ5tqGGT7HpjTRVrZbl/Gj2rFZxk/wg1IQFfDgad/LGc/8VxGo+H+Ouf09efXyByVr407VRTeVAIgKGMhGPEQ/v+YFmfTAV/LQ6TfI4ft2kOySWTJ90Rx5bNBr0uuBc+TM12+UX9bPkLJ1Ku8SeGnUqFhVjREISpoIbtu+TSlD7/z4KfX764+9QPp36Ss2cXjLSBOjkVN+LPTvUOSCquUr5ft1Q14yXlBKoBSiIgU1KEGJXwRqwbJFkgw8fzZB+TLjmefFBni+GZsEWKaBComxSPBqGgTDXHsTxALPL8kcz1VODkYwbtw4pbBM1LSQZ5xyadNqaa/g2cPPMCgfUqwMsL4hYRC0CpVzgRyjIaHX+6GJVNTjycwztSvXUIlCnvHv//xV0gVjDTKN55xqAj4La8qRRx6pklQQXX4TXNxPkoGUnXfs2FE1LyT5BFE9cuRIlYTimpEo9xM09JqzbL5af5uU3cMzgarB54GY5hn3+9wLgudWJwt1jw+/AXFO8tfWOu5lvVy0aFHCz3/00UcrT3rsDzIdjkQNAQg0tHeZgwWUz1OJbl4rsm1XP854wTcLMi++91TOX841C0iE8jlldynfL6hEpUOyg4ND+iAbzYaGTV26YHNqK7vOZg+1lw0VAQQn52yiFLcgCLhQ7tku4ycgI5gkuJ6zfpFc/+5D6r3P7NRHPrn6WVW2T3kUBAGb11SJ1GjUrFRdHf/dKx6Xkde9IRe26yvt6+2ryNZF65bJC6Pel273niX/ua2f3PbB4/Lt79/JivWr1fuSCEbJg0URzZ0Ov/sMeXnkB+q4Nxx7oVx15ACxjcPzfO0mKpuCNXH/btHqyAa+TpXdVROMR8rDDz/8cDX+SUigajYZHBVGoBYsW2Ss6aYiNoDqkmQA3qWo4UwDYh21Ns+kjQCT55AA3DRQO1EGS/mtCSKDpBaqSAf/wPWGwEqkUkYtCMkdr2zcJqhmQLEYRGftglUbQfqxAuYHyrSxVaFEOhmkSqR2zUu8fTsp0iU+FRAr4lOO/y7vjb82ZCVKWohg237pyYBkIWpdvNV79Oih9mCU/OPryRxtYw2IhY/HRVSohzZuK0sXLk6KQNVzKnY07D24536qaGNBJ0FsrEVewRyC9VMQ16JKlSrq86OqLwzsd3guBg0aJJkOR6KGAFu2R8r5S7lyfjsoU0VEN5jY4E2NijqKV0JszAtsXDl/QmiSdLdyfq1EzVMDOTg4pB84ErCbUJRQAkZgabqrNMESmz0bgSOqIoJSlCw2QMBN0GSzjJ9NMCQb6oIqe9SQ81+6Wbbv2C4nHnykPHja9bt4qJsmUiFvUWBOn/KnDOjWT7645RWZ+vBgee7cu6R32y7KaxUFyYsj3pOzn7tOWl7TS5pf3V063n6yPPLVy/LM0Lfktg8flxmL/1ZKz1cvvF+u6j3AF4UTpGjT2hHlIzYF8bBw5RL1dY8q8S0qUDhCYhLcERiPGTNGeWT6QaBGE3mMM9Q2NoNbFCyQEATTNoCSnQDLhmKUY6PYpnzWRomiKSUwczI2K0EH+8UJXG8vFRnM6ZBJQYC5BQLCtnVIPLCWQfyEwaMQIpLERaq+rKkQqUe27ay+Dpv8Q35laDJ7DZJcNOhDdYralPJy9jVhIk7jgb0dis4jjjhCXXOSdSTh8fdkH2ALVKt8/PO36vs21fZKmkDVYE2BDMbyCAVwkGC88gyRkGAMBwH2C+ytuR5BfP46derkNyPzshZmOhyJGgI4JaplUIJaNo8A2GBYzeHK+T2jQlQ5f3QQ8W85v/NEdXAw5QFnqpRfN4QxTYBBzkJS2PBZJSAkmIpVcm7i+hJgoJKxGSTxHhBDkHgPfPmirN24XvZvtK88csaNMe+FKSKVzTcBIcEhSkxUfrxfhTLl5fj2PeTVix6QKQ99Iy+ef6+c1en4/AZRnN/MJXPzVan4o/5f7wHy8z2fqAZVfmLf+pGO6lPmz4j5e8jo+SsjG/09qyduaIZCDQ9YSgfpCkyzk1QVlckQqBqUXjKebZctEgCS2GDcmQZjCHUWga5pEhGVIWSnjTJGjss9M3HOkCsQvZAuDvaBFQZJARSBhQHCA9FEECQq44pxG6QKFfUh49xG1UYygHwhYQEpls7amiyRijVO9YpVZfWGtfLTjN88q4dR7lOlwPhhrWSt9rMhoen5GQIOEph9BGQqylTWOhtrzufjh6nrXb1sZTn/uDPSGnvYIzBmKKU3keRMB8whJL7xFw4C7KlRxAZV0l8nj0RNtF7Sr+Hbb7/1TfVsC45EDRhsxLflTVDOE9UiylbZVTlqCvnl/Jm5cAZRzs9437T1X1uFDVu0EtWRqA4OfnnAeV2fIDttBJc6cDRNzrLhh0SFsLEBgjKuC+SiLfAeXB8CwRlL/paPfv5G/fx/p1wjOaVKx/1/6RCpBIKQO5RSYgNBMBWvWzv+1sceeIQ8ePr18sOdH8jsJ0fJqNveURYDL5//Pzm/68mqdP/6Yy+USmXNE9mJ0GrPSBno1DgkKqX8NNTCi003w/KieGnZsqVSzHBv8JFLlmxMhUAFPCO6+zz3yJaSESUcFhiQKjZACSnXzIY1AXMJBIxpBRCkCM+7iXNG9QWh50r6/QHXuXPnzgkbE5E4goixkXRLBMYVCaugvFjxxaRqw3ZzRC+kJKQn/szx1h1bRGpWySzp2aaj+v6biaML/VvmAohF1JpcOzxGIU+DGDu2QNUR+wg+F5UDfFbWPJPrzgvfvqO+nt3lBKlapaqReZo9H83IgvIk1Ws1vsL4C6NMDgKshRCZQRCUNWvWVJ8bj/VEHuFYh2S6R7gjUQPGth3/Zniiy/McDEMrUTeaLfeSjZpEdeX8iUCSgDLQgiX9WolavowjUR0cTASOvXv3NqKSxAuQzLbpUn6CRgJXMuamAZECWZGoQ2iqBC0EE4o90022NFBSEPgRwEBqvTb6YxW8HHPAEUqJmgipEKncD0hBNr7R6lOvwIqlRd0m8p+9D5DDW3ZQxCmdjvFGDQL71ovYOExZMHO33z3zzDNySLfOcu+998rzjz6tSOPC8OGHHyqCAZ/U1q1bq4YIXCOeCVSp1157rbpW0a+CyjeeoxNOOEEpSk8//XS55ZZbkiZgddkiijkUdrbAZyUAM10arxWjPPM2VDrcD8gXCCGT4DlHoeWlRNELikoZY1Er5U8mqWESkFMkF4Iq/ab0GNLFBHGZDlirILtN7gmSIVKPbBuplhj8+3dx10xI09GjR6s9Rvv27VVCDRuGogqqhFDPQ2yj6P7xxx9lw4Zde1qkgs9HD5ZpS2ar6tsBXfuJKZD81SR3kKBiBVI3KHsB9oCcA1UlfiMrK0s9d4nWS+0RnulroSNRA8bWbf96jtAJ18G2EtVwYOCUqEkBBdNuJGpeYymnRHVwSB+UYCUqX/QKNkIQCKbVoqgb2OSZ7lJL8MPGFUWCDf9NyCsIWkofbYAAACUF508AQ9m5Vsac0dG7PUMyRCoEH4EhwSD/J91gmjm+SrlK6j0Xrfbflws0rRMJxOctW7DLZ3///ffl6quvlmNPOV4uuOAC2bdhM+nZs2dc/7CxY8fKqaeeKueee67yiO3Tp496UTYIoUpw2aFDB7nmmmsUecf15vXuu+/ucpwTTzxRKUghZL/++mtFvvL+yQIil4YMWD0kbHqZIngm6SDNe9gAY5t5BeLeJHjeIaNM+ZdGw6vPmxcw3njGEzXfcEgPjC88jBOthcwPtqotvMz3zBuM26CuEeOa5E6Q4ByYN1Hbm163vRKpnVq0U30bFq5aKr/O+WO3+0TylPHEOIFYtJGkDSO4H+x3SByyNxg5cqSq9ElVlcp1fHvs5+r7ow/o6rkSxCuBh68rJGrQZf08U1wnm/Y7hYE5xXRC0fR62atXLxWvZDIciRowtIk1GRk/mi4U6+ZSNsr5N63ZlaR18FTSn7spN3/8a7VSuRzXWMrBIR2wcaRcGP/GdMEm2VazDVvKH4gJAkNKkk0DiwRUO6hQba3V2msTRQX4ZdZkWb5ulSIl/9P8wKSO5YVIRQUFUYi/KwGsKXVt3WoRn9sFec2b/EbtyjXU141bNyuvVo1HH31Uzj3vXNmrZXMVBD/3yNMqMHz11VdjHueJJ55QG33Uptz3u+++W5GYTz/9tPo9qqkffvhB/YwxzTF5XqKV2xCmBJ7PPvusHHXUUar886mnnpL33nsvpSCH9yBAgtS1VdZPQzaUqMuWLTN+bMYlCQIbalrmFOYA0w1ROF+UwyaIa45FuSfjwsEeUIyTqEvUXJByep4j09UWXsBYhfgJSs3IM8h45JkMsoyfBBNJKdNJ1WSIVKrkdIOpj36OdI3X6lOeVdZR5m6bVShhBlUEbdu2VQrcVFWpEKh/TJ8q4xZGEnT9u5xg/Dx5jsNQ1s+YI+FuI6nnBYgfiAdMKIdTee/Vq1cntBPo1KmTEj0EdY1MoPjNBGElUV0pv12Uq+qZRGWBpJSSV8LFcmMeiVqmcM8lhwIkap4SVZfy40mUkx3f68/BwSExKMlmA2mCRIQ0gJA0rbggaEL9aMtn1VZpJAQn5YY2GmHpYI33QElBYA0mz4t0Sv/P3vun1HgyHpHKV/5NYwyCS9PK3bpVa6uvC1YFQ6LidQrxrP1P9bgjwdD2P+2VwhfLgWoVKku3bt1UQBgL/JzfF1QSRv89Y/mmm25SgTbk6BVXXJGvMuS6f/zxx2rcRCviOCZ7i59//jmlz4c3K8+mrXLB0qVLq47NqFFtELXYRVBqaDrIZbzzMk3+QiBAyJlSo5LkynQvuLCD68t1TjSv6WqLIIgxnaQMQkCDd7BN73CvYB2CRLatxvVCpPY7+Ej19fPxQ5VnNn+H+pTxgfq0KJfuewX7n65duyrCm2fM61wLgcp4+2vrItUTo/Wee8tBe0V8vk0jDGX9Nhspel3D8Rw1tWYlWzFTpUqVuBU+GjQTwx+eSqhMhSNRQ6REdQiHEpXFAZ80Xgkzo1qJqo/vUCjo8ByLRIVcdUpsBwczgaMJaGWdaUKS0kk2T6ZVJ5BkKPtsdDkmo85m2JYKlQ0/ykI23dGKqFlLI55We9VO/TMVJFJ5L5Q/3F9bZYn1q0VI1EWrlgamBqlTJfK5luSRqHiJUlq3PWLLLQ1r1MvvSBwv0NAESzQK/j3kKIpVnjvIQVSGffv2VeoKSFuUrgWPwTOFZ1qqAQ7/H7IdW4FkvVW9grEIUWujJJBAHNKKucA0IKUY66Zh0hfVkajhWQuZF4IozbZZ6eEFzE+swSQHggKfn5eNMv5UiNSOLdpJnco1ZVXuWnlt0HsyefJk5UNdXNWnhSWVWH9I5pEIRNFcGFGoCdS27faXt8dGPDAv63mWtXseXdZPcjooIGZgDQ3KuoU1y8Ya6/VZW758eZFfC92sEBISlaY7DhnmiUpwuFmX8zslajJK1PV55fz5fqh5P3dwcAgPiWqrlN/GcQmKyH5D0JoGZfwQPxBffpTxa/y9LFLm1KR2es02NJEKIUZpOepJ/m2rjLN6haqSU6q0UvNgRxAEqleMrPkExNFYsj7iY96ghhk7iVNOOUU1SIAI4CuNmfBAffvtt5XKguZgNgD5gZ0AhLgNpQtELZ8Fotb08QmeOXeU46bB3IICxjR5z3FNWQXQMR6Cxvmi2gHEBeX8idZC1JiUnQZBJNLEjy7WQRG4EF+2vMO9gIQWzwBEnK0y/mSJVCrijmt3hPr+q99HqefUVuVJUQAJ60MOOUSV93M9Y825mkClCddXk0fLytw10qhmfTn6gMOtnhvJaLy9GWNBKEH1Gso1CqrBFGsWRKZpexsvqF69unrvRNfekagOaWGbU6L6g7J56p5NBknULevYjUS+zzEfuBeHcv7czRvyuzs7ODikDjLuKN9QF6YLgku84kwHEGyyIThMk6hs1CBkbKhQUbhSelyQ4DRdxo+vpi7j19i0ZbP6WjGvIV86QBEJyYyvI2QwJVe2gGpnjyqRsTN/pf/lZNrjTvuiAoiSrNKlZP7yRflKVFBYUxl+XlDJUdjf87nxl2UsEsBxnTWpV/D5MmFpgerVZlk/RCdkh42SQJ5VrovpBlNayc38ZcMqwIu6xqsvaiaXMYYZEKiQZVhSFAaeQQi8IDrT60qPgnO+H+DZwCvRVoNEL4BYg2RijvEb8YhU1sZGJSOk9sTFf8lmicTnDoWTZZDNJCPwV2e/FItALVu+nDw/9B3184u7n6YIa9tgLSZZkais3CaoTuFZT+QPagMVKlRQc5sNb/NEqFatmvrMiTxZ8RnOZF9UR6IGDJQawJGoPpGoGxJvrHnomfh4FToBaD/U7DIipRwJ6AXlC5Tzr9sYUaRWMEASODgUZ5j0Q7UVXEJAEDjhEWk6KISMqVu3rpgGhBjko+lz1uQvgRz3LZbf2k7ZafR9CCjYtLKpjtdsyhTq5ZX0LwzIF1WTqJvyqh3wCGvdYX+1Ya9RsaqUL1NOkfrDhw9XappY4Of8Php0k43395SRDxkyRB577DHVVIKgknJQAkwSHBojRoxQ700gnw6iy/pNk5GaFGYfZIOkZX6BTCRBYRIo67x2B04WEPGm1KOZrsApCn6orEeQQEEgyFJ+1jT2CTa8w8PSpDFZIpW1kT3Ugc1aS5sGLVSV6Ls/fBnIuWUa2Ceyr6DMn0aLKKyjCVSqgz79ZYhKqLL2ntShty/nxfnQWM6Wt7cXkHhj3TC9znmFrbUwEbKzs1VCM1HSUfuiZupa6EjUgOGUqOFTompVE69CJ958P1RXyp+0EnVThJxeti5SWlmjop0yWQeH4gKTpfxsfGyUONpqpEEWG1WN6aAQokuXPdoApBuJOhQThSHd/T/ldhCnlPCjEIjVbMo06uU1l1q4qnAVCO8PAcj5zJw5UzW7gnAkGGNMDxo0SP0dAS5NPsaNGyeTJk1SQTjBLx1oY32GsqXzSNQ8JSo4st8xqmvvjN+nKeLx4osvVuqjAQMGqN+fddZZcuONN+b//ZVXXimDBw+WRx55RAWFd9xxh4wfP14uu+wy9Xv8SK+99lqlfOO8Xn31VXn00UfVeOnRo4cKoCD4e/fuLeeff776Gz4X/x8bABOkP88p3mfcYxuARCWpwnU2DVRo8Zq8hMW/NFaJogk4EjUcfqhBlPKj0CKxUtAr2S8Cc8GCBeq5DgqzZs1SKrkgPn8sIhVLFBoD0tyqdevW0r9LX/X7N8Z8qpoQOiQGe6/27dsr+xqShOybNIGKWOzhr15Wf3dRt9NU40e/QEUIYz5IpSNVF5CoQRC5upomiPeu4THpmMlroSNRA4bzRM1gT1RNojo/1KRJVAJbxv7ytZpE/beZioODQ/AkqmmFjq1GGvq4e+xhxuMyGpqIsXFsCFqIPGwC4pG/el5cujZ19RsBM0ErwaL2nivYbMrGBpvGTpDlazasy684ALwXFgaQfnS5h6REvcm1gKyjfJxAjICWa4NnHkBRokvkUUiiHCJQI/j9+uuvFcGK/5n2w9R7Kr3HIhjeo2kD6d69u7z17GvStm1bFTzz/jqYJ9CJbkpEEPjOO+/Iiy++qDxPP/roI/nss8+kVatW6veU4kLoHn300ep6Pv/889KhQwd1LlxrLBr4PLfddpvyFz3iiCMUoYpqh2OaAoouraYyDRS1qNZsqFFRokKgmz5vjktywvRxCQoZu9Elq6mCEliePVOkrEPm+KFCalB5YNNSJR4gk5hfbVRWeAEqRZJlzOthaCbLPM08zjwNscs59WnfXaqUqyTzli+UEVN+CvoUMwasy+wteLZQgbJ2gHfHfqmuZa1K1eWcw/v5ek7cW9ZekqCBNbmsU0cRuUHM9drHn72V36heDHxRHXMXEiVq6exSQZ9K8SFRmUhNdFp0StSUSiyzs7Jk2/btsjp3razeEAlyalRySlQHh3SULRBC8cqMk4Gt4BIlG+RDphwXQBxB3NkI9iC92FwW5uNav1qEcP5nRWrdxrmPv/32m7Rr1263hluaSEUZCSAGTX5OGkvVrlxDFq9epgKo2mWrqsZWENPcL4guyEuIUs4tHpFM8IE6lb8lMCsIriFkGZ+VQIHPyxhenOdlmlUi4r02f8Vilbw7rFMXef/OF2J2W461ke/Xr596xQvABw4cqJSzlKQVJNv5TJDXeF/ec889ipC1AYJ/SGcCRdRApoGyFrIaH09sEUyB64MajDFhsgEXx2U+gKwyeVxIL6416pp0EyuMfzw7f/nlFznyyCONnWNxB+XZzCd77bVXqP1QgyzlD1KFSvKMZ95Wk8ZkQBUC6x/Xg/mCSgHWQObSk/9zlLww7F15bdRH0r31oUGfakaA9Yfx1alTJ+XzTpL0gHYHymNfv6Z+f+WR/QPpf8H9hLjHXsBWVVEiIpdz4Nr43UiO8awrM/y2LqkW5YtaWBNT4hYS/ayrQdmrpAqnRA0YW5wS1V8SdeeOSEMoE9CqVkeiJjWhV8zzRZ2+aI4KgMvnlMtXqDo4OCQPFHiQBRB+6cJWcGmrkQbHhZAwfVyIOUqxbTS+QPVCwIGCMBaZp7Fn9QhRM2/5gqTfg80rQSFWAfECdtuK1HpVaqvx9MWIbxRZxPFRdEIa4RVKQMNGOx0bBtYUSBPuE+pSyuj5THp3O3vmTPV8TP77T/XvprUbFHrNkwHXLR6BqsGzxGfFl81mgwvIaEhD0w2VAKo1lHM2SiJjNe8yddyw+6KiVI72ynVIH/p5DKsfKnM/1ipBkKiQhiQdg2ooxftDJLHuBQ2Scz///LOatzkf9hDRHqn9O5+g/m7k1J9k9pJg/CxNgQTYMccco+xjeC6opjCNaA9U1gqeQZJO/3vvKVm8ZpnUq1ZHzuh4nAQBPjP3GAsgEqxBABKV9Yjn32+E3Re1atWqKnbJxLXQkagBw3mi+oRSZSMNoDw2l/IEp0RNCQ3yuiJPmDNFfa3pVKgODr4EjmHwQ82U4xLsEWDpkjTTCleOm8gTc596ke7SE+Yk1xiBsjVISwhKyuALgw0iFaUp6tG5U2cq39AS5bNVGT0EKqoImx2peQZUqWy5SGKuaZOmqoT027EjlbVBnQo1fCNQNbgPbdq0UX6qXA8bgKyFlLbVRAPFdEKf+BTAeIBo5x6ZBHMCxzVReh8N5kZTZZmMnUwMHMMM/UwmAmMjCBIVApW536RCOpm1kvEbS9HvByDaIHALVkX4DeYwxgkkX3QFRnSzqezNIt1aH6r+9rlhdioI/CSvWXufeeYZK8cv2EQKkKhs0qKZfDRpqPr3f486R1WnBAXWA/Y6KB6DANeFKo4gSvoZ16hBbe09Eu19vCR2M3UtdCRqwNB+XY5E9VGN6qG5VHKeqLt3VXaIj2Z1Gu7S8MORqA4O/gSOXmBDoYMqEi9B02SnPq7pBhWoBVCjFFZqnyogdSh1ozQ6Eem9f+OWam+AkiOZkn6CGhQXdG73QqybIlJ5T9QedLBH8XT0EUdKk8aNJSunlKzaYL4xUWHQ60v1qtWkftOGUrdBPSmbU0bm/DFDNZciqPCDQNVAKYsahfe21eQBwpznAaLGNCD8uWamla6QvwSYptWoto7L3GjKFzVTA8dMXwu1L3MQvqCMRxvNFcNuI4BXLXYuKOaDBv7bEErY3BSsSogmUk/ev6f62fs/fi1L1mSudzGVH9jJHH/88b4QqBpPfvu6rN+yUepVrCkH1434iAcFnjfGHgnsINSgvH9QilCSJiRPgnjvKlWqKKuloroWOhI1YGzdtlV9dSSqDyhb1VNzKSY7AtyEQa5ToqaEBjXq7pKRdCSqg0M4SFQUjASXpv3KdCMN06pONoWUAtk4rt54mgbeXFwLygcTAf+wNg1aqO9/nPGbp+NDchEoUCqcjOIzXSKV/zds2DD1lfJ1fK5q1qgh9atpS4KF4idWro+szzQImbl4riot69C6nXTv1k19tuHDh6fUbCIVAlWDPQVlpIwBG2DMQqTaUKNy/WgwhRrVNLiOmVLSj3oNqxMvgWEi8IySrLFBehdHQNShgE+0FqLM47n3WxGpmyAG0ZUe0h8biqBIVJoAsuYV5o3oB7Ak4VwgSuP5O2sitcTKLbJf/eaqu/yLw9/z/VzDjsII1L8WzpHXRn+svr+97xUybcrUQJobFbyv7BVt2NIksx7ZSqJ6eW+/UaVKFZVQT0RcOxLVIS0lqvNE9bO5VOFKCjbIbMR4FeoLuNGRqKkgq2SWNKm1Z/6/a1Z0JKqDQ6qgDBbSi4A8XbDZ0R1WTQJ1qw1DfVvKGogNlIOm1UIoNQk68Cn1is77RBoFDZ74XcK/ZaNKYyWItFRUVqkQqQTnbH55Xzou03U8+l43qhmxb/l7mb+By4r1EZKrRsUqMmPx3/lVEHxGNuw0v+Bz0vSJxIFtAhVAaqMOprmK6c7xGniLoRg15dsZDZTZWCKYVvJAKkGimj4u45DrYDpo9aqu8XIcGiBlYvAYRkyaNEld00Q+1tw7SB9T3shewXPJeh2EjQB+zFgIBNFIS697QTT1Kbi/oQEnCtREdgqaSO28R1v179e/+0TW5DXCdSicQGW+vf2jx2X7ju3Sa7/OcmyH7iqBiEe7aduWZMB+jjFIkjkIIpOkPM+C1/2G6fcmwZ5s0jhdlCtXTiVgE+13iF8YTzb2LTbhSNSA4TxRgyBRDZfzOxI1aTStE+kOyia2WgV3/RwcUgVkF8SQiQCF4JIg1DR5yKaR45oEm1EbDTr0cdPtvh2PnGVTmUwQfcwBXdXXEVN+lHUbcwv9W8g55tREPqimiFSIrxEjRqhr1rVrV1WuXnDsNMzzwMaOQO93/MDKdZFkaVbJbFm+bpW6Lo2jkneMxy5duqjxM2bMGHXtCvus6RKoGqi8ITop67cR0BCwQHYSKJoGxDzqLdOBDsdFRWvjuATt2H6EkUQFjCfGgkP64Dp68Qa3sR55gSZvbXpCh7GUH+Uf9ho2Kju8grmWRB9zr1clMETqeUefpsrR12/a4NSoHghUMGTSGBk19WfFa9ze93L1M647ax+JjiBBNQWK9SDIOvYgqLGDUIRWqFBBvb+t5G08MBezDidaL9kTN2rUSD2jmYQiQ6Lee++96oEmQIm3OM6bN0+OOuoo9TcM5GuvvTawTm27eaJmB2P0XSzL+U03lirrSMBksVftBurVvklrp8J2cEgDEDtkcU0Qn7bITjZupo8L0UlgxuYwE44LQQexBdmdzL2iuRQKys3btsg3v4/2VMafrsIqEZHKv/F1pXkVChPK9ylzjgXsWsrnlFN7nYWr7HWnj0bupg2yMc8Tdfm6SAlhg+p1pWzpXc+R60TX3o4dO6r9IZ8n1p7QFIGq0aJFC/U+tppcELBCcKfj+1qYrxvXIxOOC6GM4swU4alBUGhKTZSpZYyZbGvDeAjCD1UnKYMgELUXaxCAcGNOCsIHVgMLFeZc5t5kAOF6de9z1ffPDX07v8KhuCIRgbp+U67c+N7D6vsLu52an7jk3tNckf0V3rhBgTUBpTqfIQgEVVbvlcy0gSpF2BfVCImKxxMKCzL5QXleUFLWr18/ufjii2P+njIhCFT+buzYsfL666/LwIED5bbbbpMg4RpLha+xFIEHZYm8Cg1CnBI1ZTDeTziop3Te56CgT8XBIaNhsqmUjeCSEjp8qOKRbGFr0KEVO6aPS/DA/oPuxMmA8zi+faTBxRvffRrzbyA1aYSBAtWUz188IpW9FIovCFvIx0S2B/yuYc266vs5S/8RPzAvrwlXlXIV899z3/pN4/69VqWyl0WVimeiLQK1YFk/qhjTQCjAGMb7zzQ4Ls+e6XJIW8c1SXhGjxf2hq65VDgTioWB8RUUmRlUMytUd8w5QalvaeKU7Lpneg9Cw8NkfcI1Tu1yrOyzRxPZsGWT/O9DOx3uiwKBCh744kWVLKX3xdVHRchnDfaAEKnsVYIs66dSg3XdxPydLCDlGY821n0/KyiSQWWP5G2xIlFRljz33HNq48nDhAyXjD7ydwbo+eefr7L6fuHOO++U//u//5PWrVvH/P2QIUOU2f5bb70lbdu2Vd3q7r77bnnmmWcCeZA0nCdq+BpLsclirCRszuA8UR0cHAIG81S8dS9ZtQqbO9OBliZmTZKSukGHaWUNx7Wl2KEhD4RjKkHcGR2Pk9LZpWT87MkyYc4fu/0eZQdBCf6KyYISe7zLvBCpOgkNycjez+tY2at2Q/V1xpK51r3I2NP16NNbfZ+7Yq38MX2aunbN8ixkCuLDDz9U6iT2sZdccokK+L/77js1blGnXn755apqqWnTpqpD/VlnnbWbkob9L+M7+nX//fcXep6UNjLOCExtgHPi/E1bBlB2xzhgrjAJSn05rg3C03TgiKWBqeZSrVq1UnNDNHHvkDwY53RdT7QWBtlUKijy1lZi0AsY2xCo2HUEXcZPE8pUQMXCLX0vU99/8Ms38uuUiZJJYE3DC5YXILnG96wPJgnUCXOmyMsjP1DfP3ja9aoxZkEwFlhDgizrpzqBsYD4z2+wdrD2B6FGtZFQ9ALmPDjDRHsR1kLimUxCSszdo48+qsrn2bAfc8wxctNNN6nNJSVwKFHZbJPN79GjhzJmfuqpp9Ly6DKBH3/8US2u0V4oPXv2VMpVGgihCigIgpLobIneNKJW4JUK9P/TXzdv2awGVomd//7MIb1rGg8lS1cUwtcduStkeyF/G32cwu519qbVwpZka3Z5/lCK4zV18A53TcN5TTP9fqCwSKZRUTywybHRVMpG4EhQQGkem1GT0Mb7po/LPoJN8+GHH57S/69Vuboc1667fPjTIHlx+Pvy/HmtdiMPmjdvrkrVEiVtZy7+W2YtmScLVi6RjVs25SdyKXWvUKacVK9QVepVqy31q9WRGhWr5hOp33//vfK2I/ho3759UmRw45r1JTsrS1atX6P8SSnxt4H3339frr76ajnj9kvk63k/SsUy5VXi/Kl7HlFEakFACJ966qly3333ydFHHy3vvPOO9O3bV4YPH64+L2pDGrKQpN9vv/3U+Ljyyivl2GOPlfHjx+9yrLvuukuJBzQSNS4BkLcjR45UBK2Xv0+WlIS4gAA3qQLjvrOPZjybVNVxXM4Z1ZzJ+YJjYT1hGhyXgBRrsHTA/4eUoNyYMeaQGiBEWBMgywoD94xnze+mUijPOL8gyFueVROJ1mTB52XNOOSQQyQoQBimUsZfEF1bHiIH7dVGxs2aJPd99rw8Vulm5QFuG+xPGTus87rSlzGsEzmJ1nzAWhW992CNBGeffbaqyDVBoG7eukWuees+Nd5OPLiXHLbvwTH/Tpf146VOwtqrP61pIPZjXUjWXslkSX+iucrWmsVY8nP+K1++fL4fa2F7BuIY1kG/z893EhWFKZl6yp1jAX+sc845R55//nl57bXXFKEaNInKgC34sOp/x8sIsLFm8xxL1Zpuh8OhQ4eqr5Nn/yFbtm+V0ZtHSaUcs8FrcYO+pvFQf8XfQtHrivmzZOygQXH/LroJwbfffhu7DHXnDjl2U4RUH/7DeNlcyvwmPROuqUPycNc0XNfUtG+gn4CghOQxsb7aairFcU03abLVXVnvE0wflwAfYjYdn9ULup6sSNQvfh0u/9f7HGleN7IBR03CPUvUkfrvZfNl6KQfZPWG2ApCCFVey9aulD8XzsonVpvXbSLNajVUhBwqLvY+yV6fnFKlVYMpyNuZS+ZaI1FJ8ENkVmhcV2ReZFO+avoimTRmvJx62HG7/f0TTzwhvXr1UkpTQHUSc8lLL70kJ554ovqsX3zxxS6k3tNPP632uFz36GsOMZOsgpnxwDEgwTmmSegxoZVgJsHnxM8V4j7sqlHdXAoiAqGHyeOaOFfuE+OUZJgjUVMH1w9SAnIpUQLOdMLCCxgrvK/fTaUgLhj/VIn6DSxssPJJVQFqgoBkXCCSSve685zeesJlcsxDF8gP83+XL74bLMd27mWUSNVKfMYKL75nzeXceemqWTgYbHV4MaaYi5g7efF9QWL1sMMOS7kCxAuBCh7+6mWZumCmVKtQRe448cpCj0lMzdqB6pAkUhAKafak2ArwfPid2GD9ZM1nfPqp0Ga/wbVmDvTzM5coUUK9N+9bGInK/E3Cg/0yJHeRJVHfffddT3/H5HnRRRdJqrjhhhvkgQceKPRvGIjpZpji4cYbb8zP2GglKhMmCttUByAPDZv07t27q4dn5rfLVTldr8N6Kf8uh/SvaTyUmFFaZPbzUqN8lvTuHSn3i4XosirUyjGVWZvWSonxkUXpiKOOF8k26/eXKdfUwTvcNQ3nNTVdluonyKSj3jKhnOQ6mA4ubTWVslUWCYlqmhgCEG7pEt2tGzSXI/froppLPfDF8/LqRQ+o60uQg7KjMGJz2oJZ8tWEEer7imXLy771mkqjmvWlUtkKUqZ0jmzfsUM2bN4g6zbmypK1K2T+isWycFVEqfrbnCny5ZhvpXzpstK9fReZt+AftSmm9CqZ4KdpnYaKRJ2x6G85pNnulT/pggATPy32bQNnDlY/q1qusuzdpKlMGf973Aql6D0eIFj89NNP1d6TTT9/07lz5/x9AIEtn7vg+KN8HxIW4vK0005T9lJeVEKMt2HDhimVkWkFNOfC+DBNIJJooETW9HG5pgsWLBCT4B4QwHHfTJOopspBNYnqYL8ig2fadNNALwiqlH/58uVqXvGbvA3aRgCQ6GFPY0rt2H6vNnJ8+x7y6S9DVKVDg4mRpFk6RCprOPYwzCXcK+YoTYhCJDHPwKXo/e6gQYOkW7dual5D8KPJVghr9oOsg3xe5v50E8JeCdRxM3+XZ4a8pb5/+PQbVAWLF7sZ7g9KZT8UvQXB9SOxwBj1m0Rl/oFIprIl3UqGVJtLBfGZ169fX+jfkACDSGUuL9IkajQovcHfAjAJkMFnY0WZPxvPdPDf//5X+vfvX+jfIMX2AibycePG7fIzpOT6d7HAxKUnr2gQrKdLgvD/eYh37IzIlsuVKeuIlTSR8L5UiAQoJTavK/Tvon8X95jr84jW7DJSqmzRJb9NjHWHXeGuabiuaSbfC1Ol/Dp5ZHpDBzHLxsh0UymChkTKy1Q+P5s809dAH9eEz+r1x10o304aI4MmjlbeqBW35aigqzClL+Xzg38frb5vvWdz6drqkJil7eVzykrNStWlSe0GIs0iNgHzViyUb34YLiV2lpAqNavJr/OmiOzYKdN+myPrNuXKIe0O9hwg44taosT3smTNclmzYZ1UNpw0JgBFmcP9mzp6pvoZitetlevIjD8meapQovSd/Sv3S19T/s3esVOnTirgvf7665UFQHQQcsUVV6imJZAVWARA5HIslLGJwLOBNRaCAGwTTIJja/81k6WD2teNPTTBsCkQ4GmrDi8EdLIKV5Nex5DqPNsovNIliRyJ6t9ayD0LooTYRkWG1/cNQgmqbQSwfgkCEIyUBkMAmiRxbzn+UhnM+jt3qqw++GilZgTJEoGsK5CIVAqwhrOfobGO170Sn4n/V3D9Z3zDxUyePFmdG/O+F4V2qgTq+k25cvnAuxSX0a9Db+m9/2Gejg+pjwCO98EOMgiSn/WABLepPXQqa5KfJGr0+5reP5sgUaPXQoQxmYCUUxQ8oGyeGAA8CJgUM1k+9thj8uKLL0rXrl3ls88+S+vkyBJw7MJeXicGPFk4Z0ofNVAwMTnsu+++EgS0F5nuVu5gGTl5C8FmA8qzTa6plIODQ9EhUW0odGxYBNhq0EHAR0LYNKnOcbU/ZbpoUbeJ9OtwpPr+xncflpmzZiolY2HX97e/p8q27dulYc160qNNx5gEaiyQ3N25fqs0yqkld531Xzn6wK7Km1VKlpCtFUrKW2M/l1e+eldyN3mzw4CkrVctQmLNXDxXbGF57mpZu3G9lCxRQqpVqCxVS3qzSYL0RMlKcBGt3kFxyz4TX7mTTjpJjT+aqkYDNSslkyiCqb565JFHVC8Arx2IIVFRpdjonKu73puG9kU1CQgBhAs2mkuZPqa29DJhB8Mz7EhU+2shz24QSlTel/Fn0kPYK4J6X+YzPrdpdX0y4wEOwfT74xd+ac8z1fePDnlNWu7XWpGVXlXpqEn5e6oPmDvgJvArxRfbRLKZ5A7cCCQUTbRJLmJB+Ndff3luMuiVQAU3vfeIzF2+QK3t9568a1VHIkA8Q57yXkGANYxx6nWdNglTdjBhsMxJJulY1NbClEnU6667ThlV443K5hFT/qOOOkpN2AzKCy+8MGF3UpMgm6C7zaFG0J3oNPNNCT5k6ZlnnqkmMLwub7nlFrn00ktjqk39gCNRfUZOnvJl8zp2NXH/jIAUKTmvuMFpnh+qlHUkqoODQ2aTqGyu2dDbIFFNB3B6TTd9rgQbNhRKuqTRFG7qc7FqmPT7vD9l1N+/FnrOBLHa35SmGMmU9lFeTtNNvDorV6wkLes3k7M6HS8ndegtzeo2lvp77injZ02Se959Un7461fZsi1xg7a960RUizMWmw+aIKoJyDgnUL1iValbtbasXbYq7vXXBKMmUFECoWCK/nuuGcEopZLsCXTyvTDQUBU1pdfgEJKWgHL27NliGnwWSj05H5Ng3PHMpOq157cvqulj6iZ8XtQ1ieCUqP6shZQ6Q2KZbp7oRXXI+/pNZhIL27DTCdJf3Ov1RuG5zz77WDn+pT3OUHY4i1Yvk5d++FDN916IVOZhGgkyZ0CcsrZC8tqwO+CYzP1UN0CGYhkAX5MomZQMgfre2K/kg58GSckSJeWp/rcpe6Bkz5F7xNrKWPUbkNY8G6aTgUEl9ryAOYgKMa+Eumkl6s4E+4VMWwtTnt0wNr733nvVA/rwww+rB/SSSy5REyavyy+/XD2MfuG2225T5tG33367ulF8z0t3UGVz/dVXX6mvZH7OOOMMOeuss1RH1aCAFyqga21QnjHFCmXySNTtW0W2bS5UYcAiwituAzGnRHVwcCgiJCoZYl0eZhJsEm34odpoKmVD3UrgjOWRSRK1duUaikgFH00drsrj477/9m2yaUtkrYNQ9AoItwkTJihVgLZryk8w1qyn1LCnd+4j7VrtL6vWrJbPvh8sr436SGYvmZfQFxXMX7lYcjdvFJOAiIQEHfn7j+rfdavUkjYNWsjw4cPjdofm519//XU+gUpZJCRp9N9zD9kvvvnmmyoZ76XMnAQ+4zOZUj2sqfADNa2KIXhhHxNdhWUC2j8ZkiYTSFTI8eimoX6WKCYCfskkLZgrHJIHzwz79URrIescxInfFj5BNZVi/eWzml7Xg0geJoM5c+aoudeW7yMNFx86/Xr1/WujP5Z565YUSqRq9enPP/+snnUISj/V0BC1Xbp0UaQ2jb7jqVKTIVD/XDhbbnz3IfX9dcecL//Z+4CUzo0xwhjFGzUIcE1sVGp4WecQLuhmYX5Br9sm1q1kwHjnOUj0eYsNicqCrydILg6ZvWjfFb43vbkqDAMHDlQMd8EXKlkNVASYMjNwyQhB/pr0XUpViVoqK3M9+TIKpaMWLdSo6WBT3ibfkagODg4BgPXNJImqO3eGXQVjg5jVBItppRCbczatcZNxKaJP2yOkcZW6krtlo1z1xj1xVQWbt0Y2rBB6yVS7EExBSlJiGA8Na9SVc484SS44+gzZvmmrzJw7Wz4e9618+euIuCX++KBCAjN2Zy0xX9JPWf20ZXPU91VKV5Rn7ntUje0BAwaon5E4x69U4/TTT1fKIEQBjKs77rhDJd4vu+wy9Xs2/SeeeKL62UMPPaRIVvxREQ3oYIDGU48//rgKklGSvv3226qpFMRrMl6EjBOCXVPNimyX9Ec3qTAJjmlaoUOQzvxm+ly9lih6ufeMLcgNh+TBc0dFYb169Qr9u+LWVEqX8vst0rHlL+4FugLAa7+UVNGpRXtVlcFa9t+37pNKVSrHJFKpzB01alS++hR/0iBEU+wBUH127NhRJetQpUbPXckQqDSgPP/Fm2Tj1s3SZZ+D5IpeZ6d8XlwL7Gx4hk1XNXgB8y4JRr+VsOyv2Bf6XVpva91OBLg2EliJ1kviGcZhEBYLqSAtKUfBicCpKZPD1rzyN1fK7xNKZv1LpKbri5qvRPW3w52Dg4MDYBPExtxEF0uOY7rE0ZYKxoZFAMckuLbhh2pDjfPPvH/k+u7nSplSOTJq6s/y8sgPYv5duZwyKniCZF3v0bsUNRybWCp5Eu3p+P0BTVvJrWdcJbVLV5FlS5cq+4BXR3+klCqFqVFt+KIe3edYKV0jMo6/fu0jmTRxkgwePDjf8gC7J0r3AV+5Ns8++6y89957st9++8lHH32kvPzxQQUEm1988YVSyVDSj0J16tSpiqylgRSAvOH/o/Rp2bKlqtCCRKU3QLLgWaYM1XQwyRhkLNoovbfhX0ryxbT9gI1zNaVE1ffeBoFeHMBzXdDL2K91Lsy+pEGRtyZ9wJMFCS7IGt7fNm4/8QplG8Oa9+CXLyoP1mgiFXKOdQLiFHIyiLFXEIwH1ioSdqhSKe1OhkBlL3HZa3coS546lWvK0wPuSLsqqH79+krchjjPb5DAgtDEmsZvFDdf1Aoe1kuajDGeeI4zAWmxd/3798/3E0XFgaG+niQyhUUOElqJmu1IVH99UbesF9m8vlA/nc6dO6vvydbFJAG0J6puVuXg4ODgI9hksN7q8px0YEOhwzE5N9NNpQhI8WMPu7qVYAP1X7xS8nSOC6nX6eAOckf2FXLDuw/JPZ8+o8rpWu25qyo5q2SWUn+uWr9Glf1XLFs+4fWlASdqgGTGVdXKVeTiE/rL18MGy6z1i2RTBZEvfx2u1KZHtPqPIns1mtVppDxU/162QCllc0qV3uWzEdSxweeesBZrBSUKUIJjAg/uFV8LBulDJo2RHbJTebNN+WmaVK+46z1FEQSiPVDx87/gggtifi6apxYkHjk3VE742YEDDjhAfvrpJzGlipk0aZJSL5lsiIIils9h+rjcA0hfk+Ae6+ZS0VYS6YLxzNgKK4lK8JgpgWPYwHXj+iUCRI2tEu/CQFKAMm6/wVyFJYvfoNLThr+4FzAfMW/7IeqqXqGKPHL6jdL/+evk2aFvS/fWHaVDs7aKSNVrAsk3/K7DBGwl2EMxz44ePVr9G4Wql2fjoa9ekm8njZGc7NLy6kX3S81K1YyoFLlG3DuTc74XME4YqxDefo/ZoHxRWQuDWGvKlSuXsBEjBCpJX86P5EPYkXL64Oyzz1ZSfTZRvChdYhHT/+Z3lE45JPZE9dot18GgL2oh5fwEcpTv8YprvqxJ2Bz/S4McHBwcIIIgXUwEC2xsTKskSKyaVqFCWDAnmyCO/VC3siFMpqTbq1KU40KGnd35BOne+lDV1GnA89fLyvW7b8gb1aivvk5fFClzLwzak5PyumTB+DmqWy/Zv1pTqZ1dWUpICZk6f6a8PvoTWbjqXz/OGhWrStUKlWX7ju0yZ9l8VUaHagfFDv6kP/zwgzoPAiuCGn0ubKwhrfj8+LVizUQpPk0ptNflp+OGqK94oRYkUDWiCVSen1QCH/a6Njz/CWb5nFotawqMFx0o2ggCTSpcbZUbQs6a9kQlKIToN9Gkg7Fo+r4Xt7UwEbj/JjqgJwOeDeZUv983qKZSfN6gFLA6AYey0S/0attZTvnP0epzX/H6XbJ2o79ek+nMs5xzMvvHz8YPlccGvaa+f+iMG+SAxi2NnQ9KfIgzLHSKizIzqPe1sRaafN9MWgtTlkC+9lrkQXJIHVucEjUYJaoJT1TUrAV9Vh0cHBxCFjh6gY3gkmPqShVTgLCx1VQqFeIw0THZJJtWxGiLAH3cJ/vfJr3uO0fmLl8gF758s7x7+eO77Cla1Gsiv/09RZXfbdyySTXFiAWIIIjBFi1apNwABSK1U8dOigitV7m2zNq4SNZsWCfvjv1Seacd2LiVOu9mtRvKT2snyqhff5A52X+pcjrKcdu0aaOOEX3NCKpmzZqlfh+tPIWYQPFEKS/nXatObfl55u/qd0fvf7gVAlWDazRixAjlGWta2ca9nTZtmrIGMAnGItfLVnMpk9fBhkLHRuCo50zGYroJI8ajn814ixLCTKIyfzG3+v2+EIokovxuKsU15nkIwr6AcUCyiPXET9zd7/9UdcW85QvlilfvlBMbdlEKVO45zaRA2NSouoSfqkvIS7y9O3XqFNe//ccZv8kVAyONuC/sdqrygzUJxgtrP5UnfpLger2hAidZUtlkcyk/xyzjMohq8Zy8CpOiRKKajUQcUlKilvK5Y2Oxhi6/1+X4qSJfiWpWEeXg4OAQBIlqmvC0EbASGJoOzthM2mgqZUONwya/oM9q1fKVZeDFD0i5nLIy5s/xctuHj++iDKxXtbbUqlxdqVV/nf1H3GNTSkcAkW6wRyB06KGHyvb1m+XA6ntL8z0aKxJh5JSf5PPxwxSRWzW7guqgPGPBHNmvbVvp2rWrKndNprkZ45VgCx83GoiOmztZ1mxcJyVLlJTj23e3RqDqz4hyBrLTNPDVI7Ay3T3XhupFq0ZNE54QsqZL722QqCRzCH5NHDeTAsdMXQuDUIQyNkhK+d3E2FYSLxGYC0iuBNG02ZYHeSJgk/PCefeo/iaDJ4+RKRvmqXW0oEdqWFDQAxXLB6qHqfCIVVXw18I50v+569QeonfbLnLbCZHGi6ahvbv9BuOVz+13x3rWDpIcfpf0MwdC3PrdTKuMU6JGgKm+Vzz66KOpvEWx8kQtleXK+TNWierK+R0cHELsA5cIbKRQy9hQoto4pulO9wSbkGKmm2BwXFMktwaKP4gAgrNo7FOvqTx59q1y3os3yaujPpI9qtaSy3tG7JQIog9ptr8iMH+d84e0adhCeYZGgwACtSfBlAmVryZSUaQ2qlNH6reqI6OmjpO/Fs6WCVN/l73L15MGdetLqbI5siV7e9qBfrny5WTC8unq+4ZV9pCJ439TjbG0OtIkgaoB6Tts2DDjfsKMQ5qioMgxeVzITsYO5ecm1Wm69N6k0orzs6EaZa6jYZVJgseUqsd5otpdC7nvvIIgUf1+T1sJx6CscbyAeQ0yKigvVkrbzzukrzz3/fvyzHfvSvf2neWAxq3yidSwKFJjNZFi/cUjFXsckpt4fmv8s2KRnPbUVaqipF2T1vLMOXcqr3VbJCq2PiRdTVcbFQbeS69jpq2iEkEnIQvu6WxCCyZYt0zvp02QqMzls2fHbkwaNqQ0Sn/77bddXq+88oq88MILyrSfF11J+dnEiRPNn3ERwtZtEe8PslcOGUaiaiWqK+d3cHDIYCUqGyk20aaVqDZUPzaOaUMxSrBuw48OlQab7Vjl9kcf0FXu6neV+v7eT5+VD34atEszp3rVaislydBJ3++mNsErk3OuV6+esXPVRCrnXGr9Tjl2v8Nl2YIlKhhbUGqtIlDB/BXpK0/+XDhbfp8bKYU+/bA+ioSkKSTPiA0CVRN9HI+gMxMUORCHkLKmVS82FK6amDTptQo5TbBsg5x1StTwr4XcI+6/3x3jgyJRbXiSe0FQfqgknfAJN72P8Qq6ux9Quan0aNUxz6P8Blm8OmKfEhZFaiwCNXp9wIJg6tSpkpubq35GM8qTHr9cFqxaIk1rN5TXL3korh2QCTBu2Nvge+43bFRUBJUwTAS93/f7fct4XNczaS1MiUQlW6FfxxxzjHTp0kV1i0UKzotJ4vDDD5ejjjrK/BkXQSWq80QNV2MpT9D/3ylRHRwcMphE1aX8Jsv+2CQVZ4sAjkmplulzTdRB9oIjTpGLu5+uvr/q9Xvks1+Gqu+5tz3366wUJLOX/iMT5+5ahk5gRXm6afWHJlJpFPXnxCly2n+OkcPbddzlfZatW5n2WPt24neycNUS1cyq70E9lZ8opCnNIX/55RfjBKoG3WPZ75oui+MeE0hCbIed8OTZMV16H62UCXvgaOqYjE/uDYo6h+Sef68kqul1zguCsBAAjKMg3jcoEpWkU1AqVOZpBGX77ruvPHvendK8bhNFQNLscdPWzaEgUgsjUDU4R5SyfJZla1bIyU9cqZo/7ll9D/ngqqekegW795VnM6iSftfkyT5yPK7rRZ5EjcYjjzwi99133y4daPn+nnvuUb9ziA+604Js54kagBK18E0/ShZeceEaSzk4OBQhEjUTmmlkCjFrw49Odz1GbVMYbj3+Ujnt0GNkx84dculrd8gXvw5XPycA6tSinfoef9IFK5fkb2hR8UCi2gTXIrtklhx74BHSteUh+fsePFvTwawl82TsjN/U94fsvb+yMij4viYVjdHQyifTG35K7CDhbahGbTRs0qXSpoAaCcVgWFWjNo7JfhM1WBAEQiaDOZE5LNFaGBSZGZQSNSj/1yCaSrHXoGleUCQq3thca8rgK5QpL69f/KBUKVdJfvt7qlz+2l3q/IIkUr0QqBokIBesWCxHPXC+/LlwltSuXEM+vOopqVtgXbUF7iHJYr+h10Zbe4V4KE4kapbHdb1YkahkoGN1/ORnlLM5xMf2vImVwMLB78ZS6wpVzzB+efF94Y2lHInq4OAQTPlYoYmegL1L9YbJFAhEMMPPBO9WG2oc3fQgkU8mKs+HT79RTj7kKJWovfiV2/JL+/E023uPxurneKSuyl2jSBvO1YY3FgpNvODwuKJiifeaMmWK8o9DMXvaoceqc0oVBDx0DSbYAyce3Et91SX87dq1Uy8qpEyrJTVBiwWCjQ2/DWWMjWNC9nIdTHf7tUV42jhPE8fkua1evbqa1x28g+vFGEzkZRhkWb3f78u8GASJytzC+uR3Uynmdp4fv/0s9f2FoGzTpk1+0rRRzfry8oX3Kau+LycMlzs/fjL/7/0mUpMhUMH8VYvl/rGvy7yVC6Vu1dryydXPqs/jFxDhsdchEe8nGDvsMf1uLhUkiWp6LTT1eXlGqMTRyYciTaIef/zxMmDAAPnkk09UST+vjz/+WM4991w54YQTzJxlEcW2PCVqSUeiZq4nqiNRHRwcfIbuJGoiaGAjlQnqTr3hM3mutoJNGxYBBKgEQV5K7vmbR8+8SU7q0FsRplcMvEueH/aOCvKObNtFalWuLrmbN8iHP30js+f9ba2j8V9//aXOpVWrViq4prQfwvGPP/6QnOzSyqc1HQuB6Yv+lt/nTpPl61ZJ6axSctT+h+/mgcqLsntKFG1syrl2KGdMH9sG4cn40WoxU2BMZRLhGdZyfsAz4ncQn+nQ62Ai1T+kjN9+qLaqJxJB+w76/b4bNmww2gwvyMoPr8ATm2R2wfW+Y/MD5Ymzb1XfvzD8PXnim4G+E6nJEqh4ix/38EWyaM0yqV2hurxw+u2yV+0G4ieYo3n57U/KPoREst92KmEmM22gdOnSCQly5hDmr0ywtkmbRH3++eflyCOPlNNOO02Vg/Hi+169esmzzz5r5iyLKLSPllOiZhiJitxfl/Pr4zk4ODj4BDZdlM+aIFE5jung0gYxqYNRk76dfHbWYRvnarqpB0FFMupW/E8fP+sWubDbqerfd3z0pNz+0ROSVbKknHhQL6lavpKszl0rX0wcIeUqmw98V61apTqsHnDAAfn3THukaiI1ndI5SMvv/xovf/wzQ/37yP27yIY162M2kWrRooW61zNnzhTTIHhGeWVaQWij0QXPeaaUyYfZvzQaXE9TVgbM566CLzlwvbwQd9wjvxWSQZbVMy5jNSC0/b5BNHZKdm00BfYOkJRNmzaN+fsTDuopt51wufr+vs+fl5dHvO8bkZosgTphzh9y/CMXKS/XfertJa+cfY/kLjdfveEFxcmflOfFtB2O1/cNgkTNyspK+Fl1XJMJa2Ha0QjMPWQp0lsy/bxWrlypfha3FNpBYftO54kaXGOp+IsD2Y/DDjtMvWJmQrZuFNmZpzpxnqgODg4+Q6uVTJGopoNLWxYBtmwHTH5+yD0bgTNBRbLqVsjLO/peITf3uUT9+4Vh70r/566TnbJT+nXoLVk7SsjG7Zvly0mjlJrT5DVgL7j33nvvFsCZIlKnLpgpS9cszy/l79ni0JgEKuAeQ+ZOnz7d+MZcN8PAV9Z0IMm5mg6uMoWcDLN/aTSYO0ySqE6Jmhy8VmQEQaLqBot+k6jFzf81lbXRBJjzGVOF2Spd0uN0ufqoc9X3t3zwmDw39G3rRGqyBCoVKcc/comsyl0r+zfaV5Xw79eilXq2guhYb8O7O6zEorbD8ft9g1KiZmdnJ2zESQKIe5EJa2FKJOq8efN2+xkbYzxBeBUkT+nM6rA7tuUNpJIlzHbEdfDgiVqIEpUAcPTo0eoVs0RPq1ApHSll3kfOwcHBoTBArkCQmQhYbJGoNiwCbB3TZBmgDduBdNQ2fLbLe50lz597t5QplSNDJ/8gRz14vixbu1IOb9Je9qhWS9ZvypV3f/hS5iw1E8gtXLhQbZTjKXTSJVK3bt8mP/z1q2oqRffjOpVqSPaqrTEJ1Givtfr168uMGRHlqklwbNPKGZ5txpBpL9dMIScz5ZhelDVegaIyE9Q3YQLXK6wkqq1Kh0QoTs2siNGYI4NQosKFNGjQIOH+4dqjz5PLep6pvr/z46fkgS9eyF/zTBOpyRCoWP1wPpcPvFM2b9siPdt0Uk2kqpavrIgs1lI/G2BpQIgXFyWqLTucsNoIZHtMOmbKWpgSe9e+fXu58MIL5Zdffil0w//SSy8pLyw8Uh12B91zgVOi+ghdfl9IY6mE0ARsqfJIfcycl4ODg0OSgaMJ8q+4K1FtHBN1gUnbATykuE/pWAT0ad9dPrn6GalVqbr8tXC29Lp/gIya+pP0bd9T6lWro8jIj8d9Kz/PnJh2h9pZs2bJXnvtVeg1SIdI/WXWJFm7cb3ycAPtareQ9u3aJ+zQzTmR1DcdsNjo7Muzzf027QuWKeRkphxTB4Um7r0r5y9a5fw2Kh3CXFYfxPviwwr8rnyFHMcLm8aCXubyW46/NL8i5LFBr8nN7z+SL9IxRaQmQ6DSVPKMZ/6br4z9v94D5LWLHpAKZf69jiQdg+iSzrmjQjS5nnpBcWrypN/T7+ZN2R5J1ExZC1Pa5U+dOlVNWN27d1dlTEcddZScf/75cvnll8sZZ5yhyqZq1aolr776qjz44INyxRVXmD/zIqRExbvMIYM8UV1TKQcHhwDBBtNUAweCAdPeaTaaVdlQudjybrVxTAjJdL1rD2jcSobe/Loc0mx/Wb9pgzw4aqA8/8MHclTbLtKmQXMVtHw37Rf56OfBkrspEpwmC8hENr977rlnwr9NhUiFPB0383f1FSUquKDXaQkJVL0xpwO6aXWNfhZNb/ozqWFTJhxT+88lKidMBpogMxGMusZS9sr5baxzXtdBvxseBaVEDeJ99Xv6fY1Rv/LsJ0PeUhFy/6nXqnN9ddRHct6LN6oqkGSIVNbIqfNnyre/fyfTFkSsbJIlUL//c7x0vfsMGTnlJylbKkdeOO8euf7YC3dLelJhAUm9ZcsW8RN67xgUsVgcbASCusbZSShRM2EtTIlEZRP66KOPqo3v008/Lc2aNVOm+rpM6vTTT1feVD/++KP07t3b9DkXGWzb4UjUwDxRt24Q2Z5iCZYjUR0cHDKghNELbCh0IBQygZi1EfTZJHtNBIq1K9dQJXuXdDtdONpH47+VXvefI9UqVJEebTpJqaxs+XvZfHlt9McybcHMpNUg8+fPV4SmV8I3WSJ11NSfVTn/rIVzlbdru0at5KCWByjSl/MmsPzjn+lKpbpg5RLZuGXX4ARyl3M0CYJPAlfTPm6Z0qE+UxpL6TnJpPpGz50mSvozRX2TiWshan6/FaGMM5MVCWEmM/mskG1BkKhBqG4pN6cCIdk1uX+XvvLMgDukdHYpGTRxtLLW0TY6iYhU1sbfl86QwZO+k0nz/pKvJoyQGYv/9kygbt66RTWYPPHxy2TR6mXSpNae8sW1L8px7brF/HsqaqiG8NuflHma9y4uPqFBvC/zEmPXKVHTQ1orCg/XiSeeqF4OyWNHHoma7UhU/1A6arO1ZZ1I2arJH4P/V/BYDg4ODhmoRLVFoppWhthQErFx9dJ4Idljhl3dmp2VLVd0O1MqbMiSt6d9K3OWzZdjH75QzjnsRLmg6ykyatrPsnTNCvlqwkhFSnZteYhUKe/tOtFktHHjxkmdjyZSf/jhB/VvbKBijR8CRqwIctfnyp/zZ6qfNa/XRJ4d8rbkbo6vnK1ZqZo0qllfWtZvqqqkJkyYoEiVdJW9BZusmi69hxzQ5aomj2mD8DRN9vKsQxrwMjWX6OOYLBPVwSjzaLpkDnP6smXLjJ1bcYDXtZD1o7iQqIxFk3NbkF7gYVXdpupRDk44qKc0rFFPznnhhjxrnXPkkTNulKMP6JpPpP7888/5ST8SgcxYU/+ZIf+sXSLN61SW6hWryop1q+S7X3+UellVExKoP82YKNe/+6B6P3Bmpz5yx4lXSvmcwi2C+IwQxpxXcVBn8p4m1xwv4Fn1W+0L+Ix+WyZkefQQL9JKVAfTSlR3G3xDdmmR7DLp+aJuiZRfOCWqg0Pxwn333ac8wcmSQsb06dNH/vrrr/zfowZgYxLr9eGHH+7SkAAbHIgXjnPttdfutrG48847lSdVx44dVVfxaECs8H/DSqKyMTMdPNrY2GaSYtbGMdvWbyEjbn1LTurQW13fV0Z+KMc/erGULVVGDtl7f1UlQ8k8pYffTRunfFO9NPlIpVNyIkUqgeTQST+ojfWyJUslq1RkzGI98MWvw2Xx6mWqIcae1fdQCht8XiuVjazRNNHCR3Xg6E/kw3HfyMot66w0girOzZVMlsjbJDyBSfUN5+lVXZMIzOleSHMUOldddZU0bNhQiVkgUKJ7VHDNbrvtNqUI5/fdunXbraEalYJt27aVRo0aySuvvFLk18IgPFH9JmOCfF8bXuBhbWYVrURNFQc2aSVDbhoo7Zq0ljUb1sl5L94kl712h6zOXbuLIvWH38fJ88PekWe+fVOG/zFW/d/OLQ6SfertpSqAFy9ZXCiBumztCrl84F3S55GLFIFKxcnAix6Uh06/ISGBGu337TeCarbE2mCqUaBX8Mz4TWYGRaIyB3vZK2TKWujYuwDhPFHD64vKAxx3Y+bK+R0ciiVGjx4tl156qfz0008ydOhQpWbr0aOH5Obm5qsGIIGiXwSAZFWPPPJI9TdsIAgayTyPHTtWXn/9dRk4cKBa6DVQ5H399dfy+eefy2mnnSaXXXaZNfIvkwjPTDhPWx6zttStlctVlCf73ybvXfGEIiAXrloqV7x+l9z9yTPSsn4zpeCki+/PM3+Xl4a/L9//9atsKFAir6GVA6laTRRGpI6c+pMsWbFUFi5cKDVq15Surf8jNSpWVV2FJ86dKm//8IW8OupD1TCja6tD5LRDj5ELu50ql/Q4Q4458AhptkcjtdeijPH3FTNl4OiPZe7yhVLcfEEZm6ZL+GwEY7YIT2D6XE19fq/35rzzzlPrz5tvvimTJ09WaxDBIU3TAL0onnzySXn++eeVoo3nqmfPnruQEueee67ceuut8s477yhCNFmf4ExbC4MgFoMiUYNQwNrYR4RVicq4TTVZWNBa55Orn5WrjuwvJUuUVAnBTneeIu+N/UrZJkKkDvl5lKxctSr//1QrW1naNtxHkasQuZ3axyZQIWbv//x5OfjWE+XDnwapcXhWp+Plhzvfl15tO3s+R61E9RtB+JPaWHPCSmYG9b4lPL5npqyFjkQNEHqAUFrnEIAvahwSlYeMjSCvmKbh+v+V9rcbpIODQ7AYPHiw9O/fX1q2bCn77befCvhQ0uABrhd+mi1Gvz799FM56aST8ksOhwwZopozvvXWWyr7SUB59913yzPPPJNf0rNq1SqpW7eutGnTRg488MDdNrEmgyQbmygb5fyZRMyaPqYfzb8O2/dg+e72d+XG4y6S8jnl5Pe50+Ts566VQRNHSduG+6ryQZSoP06fIC8Nf09GT/15t+ZTKFYILNO5T7GI1Plrl8r46ZMUgcpzUbt6LaWeHf+/z+Sdyx+Tvgf1lLKly8jspf/InR8/JfvfcKzc+O7DypIAtU2Luk2kT7vuilSlqVal8hVl0cql8sGPXysVa+7mjcVK4WmD8LRBzAKT5xp2EtXLdcQy4uOPP1bBYefOnaVp06Zyxx13qK/PPfecOo/HH39cbrnlFjnuuOPUGvLGG2+oZ+ezzz7LPw77W5oAs47RQCZZ/7lMXAv9JjSDKucPgrwN0rrAb4UxY5NrbKIaCG/UG467SL649gXZq3YDVTVx1Rv3SI/7+su4+X9Iq332lcWLF0uJrTvlyLZd5KA99pVhP4+WGf/MlkYNG8qBzVrvcry5yxbI7R89Ie1vPl4e/2agbNi8Ua3fX1/3kjx4+vWqWiMZoN4LwieUEne/FaG21oewkqg21m1TnzVT1kLH3gWIbTsiE4Qr5/cZOXlZu81rU/v/WonqPFEdHIo1dJlTtWrVYv6egHLixIkqKIwuHWndurXUrl07/2dkRi+++GKZMmWK7L///urfNG1kk07A+dFHH+1yXIgVkySqDcLTdECVScSsjWOa9riL5REIEXnlkf2VivOhL1+Wt77/XL6ZOFq9erTuKMce2E1yt2xQ5OS4WZNk/Jw/ZK9aDaTVnnurEnqCSxO2A9EeqYvXLpfflvylrilkSpc2HaRj83Yq+AT4tfKC0P30lyEy8LtPVGOp10Z/JO/9+JVc2uMMuaLX2ervIVQ7tmgnNbIqyrCJ38vmkqJKHP9ZsUh6tOkozeo0ChXhaaPMzzbhGWb/Upulk6ZI1ERjCGKBvymovoPs+P7772XOnDmKdEGNo0FiA1Uba88pp5yifobac5999lHHY+3Zd999i/RaGARJUZzK+YP8rH6Tt3qNN/l5Kesfeevb8tKI9+WxQa+qNezcF25UlSJ7VKopiyevkCwpIQsWLpTceZuU0rvTvgdJ+TLlZOX6NTJk0hiVEKRiQ4/15nWbyA3HXii99uuc8rnqdc3v+xtE06OgSNQgyMywK1FLZsha6EjUALE976Fx5fzhK+cvFFtcOb+DQ3EHmx68eCB7aIQTC/jrsDjj06PBoh4dNAL9b34HIMxQ+ixdulSVU+E1VvC92YxQQpku2NCweTBxrOjzY3Nj+pi8TB6Tcyyux+Sec+9jHbNK2Upy70lXq/K/R75+RXUDHjL5e/U6sHErOeaArpKTXVqWrl2hSEhe5XLKSiUpI9VKV5RNmzelva9hzLPZfeajV9W/8Yk787ATpGGNukKXjYLnXTqrlJzc4Sg56eDeMnb6BHngqxflt7+nysNfvSxf/jpCnh1wh+y9R6ThVZlSObJfnb2l8T5NZfDvY2TF+lXyyc/fSvsmbeTQvQ9IKSi3MeZtjaV49z2dYwJIdFOEhg4qOabJ4J1jccyCc2q6xzQ1hyYKHLHKOOSQQ5Rik7WFtePdd99VQSEKHL2GxFpj9O90CSNBJNcC9U2mroVenxHGvOnnMxG0ks7P97Q1bySCfq/i8Fmp4mCeM/2ezHIXHH6ynNi+p7w08gN5Z+wXiiClNB9MWTZLDq7XWjZlb5O1izbJgtVL5Kb3HpYZS+buQkwdts/BMqBLX/WV80xH0Rk9D/tJVgfxvEavD36qm23sHZL5rH6+7/YkntdMWAuTHiXIZ1euXCn16tXb5edkDSnrcPAOfMaAU6IGRKLGaSxF6ULfvn3V90jFd/PbcZ6oDg7FHvjBUW5MxjPeWonHDl47qYJGG/E2P6zDgwYNEhMYM2aMmAZeeaahS0VNgus4adIko8dcsmSJTJs2TUxj5sxIR3qTmDt3bqG/71P3P9KhUnMZ+vc4+Wn+ZPl1zh/qVa5UGWlba29pUKm2bN6+VbbmVdaAQRNHS81yVaV6ucpStUxFqVi6vJRMkQirX7GWzF61QErmbpfJP/8mU0pM9PT/LmxxrIyv3EzenzZU/lo0W3o/cJ6cu9+xsl/tZvl/s/KHcVJtRylZumKDzF69QDUcGDZmhBy4xz6SnSIJbOqZzMRjQnaZxvDhw40f87vvvjN+TAK3dEFpuxeVDv5v55xzjorDUIpRinjqqacmPT+i+I5pWZVhayHzopfxHO/8bMPGs5YI48ePl+LyWWmwhB9iUfqsrbPqyz2HXiTTV86Tx395V/2MmWH8oqmybsuGmOvk/rWbS/u6+0rt8tVk09xVMnju4FDP7Sb2JzYwatQoKS7Pjo19uonPCsnphbQPei1MikSljIJsY40aNRST/NJLLymlADjzzDNlwoQJSZ9Acca2PBI1u6QTBIdJiUr2Qz/gMTMh+UpUV87v4FAcQXOLr776SgXjdA2Ot17SXfKss87a5ed4w40bN2430k3/zgvYXKDK6d27t6QLfOk6dOgQt7trqptQyjRpjmAKlHbvtddenq+RF3Af6NpJaZwp/Pbbb6pkqEmTJsaOCUGBIqt58+bGjkknbTLv3CcvOEfOlCVrlsvrYz6VD3/+RhavXiZjF0ySsQtEGlSvK+2atJLK2eVly6YtUqtOhPDASW2RrJflWZtUEyhKE6uUq6S+6u8psY+lNOSZ4Fp2bHeIjPx7vCJx52xcLK9e+qBnRcxRcpRcuu5cueS12+XHGb/JixM/lefOuUv2qdJQKdvoLg6OEZFpC2fJkEnfq+T2xmolpc+B3SSnlHe1Ipt+yBw6iJvCihUrFMF/+OGHGzsmDVEInGjAYAqQZCNHjlSelqZUo6inmJu6d+9u1Mrim2++kS5duhjxM4wmevHrTKdbt34mvQR/zIM0dsLLjfvJHHbyySerOUfPjzw//FyDf+M7WhTXQj53orVw2LBh6nlPtxlQMqC5CT6xqKX8BGRxs2bNdlNg2QRzFUTmYYcdJn6CTtwQ7HTn9guMZfY4Jue7eBjz53iRX96Vstk58uYFD8odHz4pfyybpX53wzEXSvO6jWW/BvtIzUqxbTTSBXMMz7ZuBucXSCiBdG1GkgEJLNaHrl27+tqsbPbs2coOBfsSP8Gc2K5du7TXrWSAHynEeKI5EXLUyz4v6LUwKfbunnvuUQs8EzNfzz77bLnppptUx8Qg/GYyGVwvLZM33TDCwWtjqXQ9UZ0S1cGhuM3bl19+uWqQwSa6ceNIeXC88sVjjz1WlSFHg83Dvffeq0gcra6huyQkptcNo/b1M0EuEARQumSSqOD8eIX9mKy9fP7ieEy8S6m6SOaY9WvsITcff4nccNyFKrh7/8evlV/qvBUL1UsdN6uUtF7TQhrWqCfVKkSaTJUtlSNL1q5Qr4LAq3SPqrWkU/N26iugqRT+iWzwSdqv3rxe5q5ZpF79Hr1MPrzmGc8E5x7VasmHVz0llw+8S3mmXjrwDnn6xJulYdU9dvnsbRq2kBqVqsnHPw+WRauXyecThkm/Dr3zvVcTgf0cpcam77uNMW/6mLrk3mSJvAbnaepcmTP1vGnaY9jEHMo1TKZkVqtnaL707bffqgYbrEkEjxC7OlAkuKQzMX5vRW0t9Do38jf8ren7Xhj0e/n5nrbWykTgvUztSYJeGxNB+37z3rbj9ymzIhUtdavVlvbN28p/6rVRJGq9ijWlb5tuRhPAscA48vu5Cep51ZyMjfUhbJ8V8Lya3rOYfF4zYS1MikTFw0Bntsi6kp04/vjjVfY9CEPpoqBCBVklXDm/ryidpidqPomafhmUg4ND5oCyRcoSP//8c+XHo311ULdgZq7Bmsj6GKtkBQUYASLVGyz0HIPukRzba1MeL6brQZrLZ1IH8Ez47Gw48WEzCU2ipgL8Tg/b92D1oqHTd3/+IkPxTJ30vSxft0rGz56sXtGoWbGa1KpcXRGrFctWkHKly0j5nHJSvUIV1VGYrsSXdD9dPQ8k6dljoh5g39mt0UHy44LI8cbNnSzd7z5LPr32eale0ZuCIjsrW57qf5us25Qrwyb/IHd985y8e8Eju/1d3aq1pF+HI5XSduGqpYogPvbAIzztb7k/ptUrfHbT3myZ1KAN2PDhC+vn99okiSCR90SZzlpz7bXXSosWLWTAgAHqPKgYRPSCGpFAkjJ6mrL16dNHiuJaGERTFi9wXbftAxLIby9Jxibz8vr1660qm//880+pKRXVWjlr6Tw59pGLpPseB6rfbdi+WX7//Xf1vU0ilU7lJiw/UknM+akat73mFAbXgC72vciEtTCp3RmZQkqL2rRpk9+FkawhilTTnmJFHduiAuBsp0T1F6Xzyrhi+Mp4wpY88tV5ojo4FCs899xz6mvBkrXXXntN+vfvn//vV199VZU2xiqZJRNL+SOZUJQ4bFBZQ++66y7P58EGPp1mAbYDruJMeHJvTAd1BG26+7UpQPilSqJGg+7AR7btol6QQK999LbsqJItU5fMVh2G/142X9Zv2iDL1q1Ur4KoX62OdNnnIKlXrY4sWLhAJv42URGo01b8LSc8d4Uc1fYwaVmxruxTdy9Vcg+mL/1bDrvzVHn90ofkgMaxG9nEIlKfOPtW6XLnqTJ/zRL5ad4kabZX093+rk6VmnJC+55KZTt90RxlA/CfvQ9IeHyupWkSlWNGE1ImwLxhmpi1EYzp59LkcW0FyV4DvkTg+fGibGMuuPHGG2X+/PkqDsPDH0WnVvdcd911qrzxggsukNWrVyuLCTwNTY7PTFsLixOxGMT7ci9N7UmCWMeSvb4QfDxbtog+CNS///5benftKeX2rCYXvHSz/D5vmnqBves2VnaKqOpsEql8Rj/LvTW4p/F8kG1BCxP8JlFtJDbDSqLu8PhZM2UtTGonhUdBwc0XWSC6YeGL4+AdO3Zu/7d8xylR/YVWkG7JTe3/5zeWcp6oDg7FCV4Dk//973/qFQ/4d6VjIk+wycbABEwSshrFmfBkc4Z6I+yBoo1jsult2SDixXdBz9PUz7hnK3PXyNxl82Xu8oVKdfr38gUyZ+k/Mvmf6TJ/5WIZNHGUXHb46fkE6qw1C+ScF26QTVs3yzND3pInul+tyv01iVqxTHlZtn6VHP3g+XJFr7Pl6qPO9VR2j+r1rEP7yKODX5NPJwyTMw8/Iebf1atWW45o9R8ZMmmMjJ0+QRrXrJ9vNRAPXEs28SbBMb0q8pI5ZiYoZm2QqLaOaYqYRtlWoULi5PxJJ52kXvHA54OITIaMzOS1kBLOINa5sKpkuf9+vy9zCtfXK/kR5gSjF0AsQsrY8GLVBOp//vMfZW1BNcTsJfPk/i9eUL8vV7qs3NznEmWPYZtI5dqi3PMbNtYpL+/JPGF6LfMyl/pN3AZFom7zuFZmylqY1F0jmxjP7PvQQw81dU7FSomaVbKks0LwG6XylKhbN6RJojolqoODg/+gfNIUUWdDQWKL8DR9nmzSTZfJ2yI8TZ8njXUIeGkKZBIEdniaRo8FyEsUo8e37yFX9R4gj591i3x+zQvy010fqb9ZlbtWFs1fqAjU+bnL5PyXblYEKtgpO2VR7grptV/n/GPecvwl0rxOY9mxc6c8/s1ApS79bPxQT8RB61oR9emfeYRsPOzXsIXsW7+pGsdDJ/+QcDyz6Tdd9mhL3ZoJx4SY1f5pYSZRtXrJRODNnM7c7mB+LQyCRA1KiQqxSDm0n0BQxef1WxUahBIVoEC1Qd4WJFA1WDcnPzBILj3wRJnwv8/koKb7qZ9rIpXS/n/++cfouTB2baptw0ai2rDk8fq+NvzE/aqgsEGiZspa6CSQAWHHzshmP7ukvxkPBxPl/K6xlIODQ3AgQwtpYwKUvZgOLm0RnqaDpXR8QYNQjZoMyLlHjCPTgSDJdjo108E4EfBIxSsV7KxYSgb/9YOc8ex/ZVXuGqlYtrxULR8J3hauWyat9myuyFhQqWxFue3Ey+XINp1VI6s5y+bLRS/fKj3v6y+fjx8mW7bFVhdz/abM/lN9XzYncZn8Yft2UA2slqxZLjMW/x337xjrbPpNlz3aCOoyhUS1cUw9J5lUyulj+qlEdfgXXC8vJGoQ5eZBELe21rVEgEAN4n2DIlGZ61k7TSp+4xGo+e9ZrqK0qdVMeYlHwxaRyhrO+I11LjZBAo3klN+EJgnlIEjUIAhjG2uhF3BfTSpRg0ZKqz7mrKlkcjF4veKKK1J5yyKrRA1Cwl3skaCcHzVJ3GCVn2sS1ZXzOzg4ZLgS1UagZyOY4pimiGMN/CYzgUTVJd2mSTVdkhivwigVcH4cb/bs2dKqVeF+pShW9yxfS3mlvjrmY6U6BTUrVZMnz75NHvzyRUWoLli3TMqWzpE9q+8hK9avlknz/pTb+l4u5XLKSsMa9WTUpB9l9qoFyh7gwpdvkarlK0mPNp2Ul+k+9faSahWqSO6mjTLstzHywriP1Xv02q9Tws9SPqes7N9oX/lpxkT57e+psvcesTuQ0/EVJYkNItF0OT9jqGrVqsaPafqz2zgmQTLX0+S+m7lTd0NPF5mivgkTuF5e1oUgCE3GGuPY77JZnhvmdb9ho2LC63v6bSMAwcP7cZ1N2LgkIlATwUZpP8lQzsVvoo15mvnU7271QSpRg1DdMif5rYDdVsSUqCmRqAMHDkzpzRo1apTS/yuK2LYjrwSopGsq5TtK5SlQtqZQxogFgCZYNRnr4ODg4CPYwOOJaqIchw2yLkkNuxpz+fLlGUH2slE02cCHe8Tn556bJlGXLVsmptG0aVP58ccfVUfUeCQgBOqvv/4qd510lfR/7UZZvm6VQDN0a32oPH72rWpM1q5cQ/3tjFXz8r1KJ86dpjxVCQAOaba/UqdCpk6b8acs2bRK5q1ZrI5FYyhesdBqz73lumMu8PRZWu/ZXJGo/6xYpCwGypTKidt8w3TpOffbhkWADZ9V0w2wbKhzbASrPOemSIZMUd9kohKVudj0OpcIjDWeY0rrTT9zYSMz9fuatodJBOYdyDYSWaaTQ4WBuR6vUJSf6ZKo6RKotohUPhuVJX6De8l18Nvq0MbaGNb31etrEJ6oOR4+a6ashSnt8Lt06WL+TIoZdAmA3xkeB0jUvKBka27qfqhMPI5EdXBwCAA6QwvJkm621lbpvWnC06bXqEmlULQ3nMlNoO4GXL16dWPHJPgjgDPtjcVxCegmTZok7du3j0ug4oG6xx57yC/3fiozF89VpCkl/iB380apVSny/dw1i2XFulWyZ/VIg4tFq5bmHwt16Dld+8kn5QbLhCm/yz51mkiDensqxerEv6eqUv/VuWtV46k65arLqV2Ok/OOOCkmGRoLVcpXkirlKsnqDWtlyZoV0rDG7k02GOumm0ppdZ3pQMJW6b1pKwNbZK/pY5pMlmSK+iZMCLMnKvEdBJ/fJElQJe5BkLestdqf1E8SFTRo0EAlC6m4SDWWN0WgmiZSKeVHicoa7Td0UtJv2GgOmQjsvYJQogZFGG/zsF6yH8+UtdAZcgasRM0q4cr5w+aJyuRy5plnqu/ffPPNXSe3zev+9UN1DcEcHBwCgCZWIFrCSqJmQnMlG0ohgjp9riYJMF16bxIck+CPYIngyyTatGkjI0eOlAULFki9evXiEqigbOky0rpB813+f7nSZaROlYgSFdz7+XPSqFZEFVPQ87RGxaoyoGs/qVullnz1w1CZv3CBNGnQWE497RhpUbeJGosjRoyQdu3aSe3atZP+LBXKllck6obNu6usULctXbpUmjff9fzTBfeaoNokuc1Yz5TSe1vErOnz9Orx5gUm5vPihjCX80evhX4259EVFkHYCJDY9Rs21kYvgLRFCTt//nxp2LBh4ASqSSJ1zpw5aq0MorwdQjwIBWxQzaxAECRqEPd2mwcSVdtzZMJa6BuDpx9mhwi278gzo89yPHbYSFQe3o8++ki9div/oZwflNrV2NvBwcHBL6BuIVAy4YvKsTDyzwTCUzccsKEUMgkCK9PBpG5kYRIE2PiXLl68WEyD+9W6dWulRtVjIRaBWti5KWVqnhp16oKZsm5j5JqiKi2IUlnZcnT7I+T/+p4vOzdvl9nz5shXE0bIOz98IUO/H6lKL1MhUMHGLZHxkRPjfVGhoj423XzDhhpHByfFtfTexjFJwJjy7mM+z4QSxkwt5y8uTZ54vnnOg/CADarJUxAkKmvUXnvtJTNnzky66aMtAtVEsyn2WZwbtjx+g+sYpBI1CDKT/YPf/XGCJFGzEqi29XyeCWuhb3etX79+fr1VRmC7Lud3nqj+o3RUOX+y3Y61j6omYh0cHBwCABtvvKPC3PXeZDf56DL5sAd+NoI6lExsLk0HxppENXmvNFCgEsyRREet45VA1ahduab0adddSpXMlinzZ8jzw97J+/m/CtWCaL7nXnLLGVfKnmVqyIply2XiX3/IN1PHyJT1c2X2knlJf86la1YoKwFF6lbZXa3LteMamlZ8QZibVq8xJglMTCknbZYj2irnDzMxy3yeCeqbsK2DzIuJuqSzfkB4+40gSut5viFl/H5fr4S2abDeehkDNoBiEtKRBGFYCNR0iVTOjXnI79J2oL3+/Z4HuYf4+fpN3BWnZlaAOThRMyvWQeawIOwGkoVRGeRJJ50U8+dsWleuXGnyrYpOOb/P2QeHKBUp92D7FpHsJB5UrV51SlQHB4cAUatWLVmyZEkoSURbZfL6XE0227ER5EJ+zZ0717i6iM8PuWbSF5VAi/u0atUq40ET92z//feX7777LmkCFexRtaaUzykr+9ZoLL8vnaF+lpNderfS/4KoUqmynHPc6TJ4+BD5c9nfUm3ParJo9TL5eNy3UrlcRWlZv5k0r9tENaUqjPzEV/WLX4fle69yLtFA7bVw4cKYvq/pgGeH+4yS1yQ4pg11KzAZ8PD5bXm3htVnlWeQOClVtXRxBfMXpEsiS5IgfUL9ft9oSxk/ySjWPT6r3yq3cuXKKdKFNczk2ugFqOr22WcfmTx5shp/iVTpfhGoqZb2Y43x119/SYcOHXxvOgR4jlmj/FZmQtwxjxcXb1Le1+9nBXiZG4hrWAeDGH+BkqjDhg1THpIFmXw2RGyiHf6FzphlOyWq/4huCLUlNzkSVStRS5kth3NwcHBIBpBRyagf/Cy9J6DhZXqDaONcCcBoomASBAGUsZv2pIPkJMgwufklCERNQ2BnQ3mCXyiBGQHj7NmzVVDndUxoxemelWrLuUeeKn/8M122bt8qNStVS7i/4r0q5JSTdvX3lSo1q8mGMtvV/1+zYZ2MnT5BvSqVrSB7Vt9DearSQAqbAKqE1m5cL/OWL5SZS+aqY0G8dm3ZYbf34fkjaDYdjGjbBtMEiOnGZIBnh/tpMuhFbQ1BbYNEtXFME2QIgSNzBckxB+8gocb151ksjEQNqtSc8cacHcT7+v15mQuJ/5m//CSjVJVA7dqqKiAIYogGUyTTIFIPOOCA0BCoyRKp7FcmTpyoPk+NGvGrPWyCexhEIqk4WQgE9b5b8+y4Er0vc3kyyfYiQ6IedthhatPXuXPnmE0GHGIpUR2J6juySkVe27dGlKXlkggcnSeqg4NDESNRUUGxuUm1w6yfvqimA0OCmWXLlhk9pia/KDE0GSwRXKBw3XvvvcUkGjduLKNHj5aWLVsaJb21ByoNnSCHfvvtN9Xgif1gdLOpeIDc1ID8PHL/LvL9n+OlavnKhSpKJkyYoMjPTp06qZ/98MMP6nm5qNtpMmvJXGUN8M+KRYos5fvCsFftBtKjTUepUKZ8zOYbjRo1Mq6YIJDkeplW4xAo4uFn+pg2GkDx2U15jdq0HTB1TJ4V7rlJq4XithYWFmfq9SiIZktBkLdB+5P6TYRhqTJt2jS1hvkNxlPbtm3V2qbtXcJCoCZDpJJ4pKQdFWoQYA/KXgxlr98ojiSq3wrYzZs3e1rXiy2J+sknn8T93dChQ02+VcZDN8dwJGpAKFVeZPvqf0nRpD1RnRLVwcEh80lUvZFig4MqM8zBo41jsnGeMWOG0eCa41DaqDusmwKBKf5mpjfenCMqVII8U13mYzWR4nsUO6h0+QrpkWgjf0L7nvLAjBmycv1qRaCCBjXqxiTJaPAxffp0adKkifocOilw6KGHKiIVtGrVSvap11S2bt8m81csksVrlsvytatk3ab1smXbVnXvKpYpL7Uq15CmtRtInRg+qIDSURRXNgJOAnHTZKcuszXts2rDu1WPb5Nkl60uyJAOpkjUTAkcM3Et1PfIby/AoMhM1nLTzQ29gLkgCOUtCQjWG6oegmhIg90OawvrM2tptO9j0ASqFyKV6wYJzXoWVCIHApXnJQhfaPZqXhK7pkElh9/kLfwTqtAgrAvKeFjXM2kt9O1J4aHl4XWIYPvOCImabVD545AEaAy1aXWknD8ZOCWqg4NDCEC38ZEjRxr1Gs0EEtV04wqCPgJrztVk13KOq8uyTX5+NtyU/jZs2NDosZs1aybjx49XqtRExv+pEKh6rBGoUHIJkYoFFJ8D0jPe2GtUs540q/ZvsFe1QmXlaapBMEDTjFmzZimVA4Rp1ar/Klh1yW9BIrVUVrY0rrWneqUCAmOulUm1pCblUNOaVnIxFrkOps+X4NN0wGOKmIwGz7iNLsimSDmSCszpDsmD68b1Kwzcd+6/38qvoBSwrBMoC/0G78tc7Dcg/ihBJwEVRFf56LJ+Ki7wyWbMhYVALYxIxT6F9TrIMn6bTRoTgc8PiWw6GZgIzAmsn34rb234mJtUv/IMUeGTCfCNRO3Xr5/MmzfPr7cLPbblK1FdY6nASNToRlFRIJhjQtXf74KteaSA80R1cHAoAkpUW4SnDQUOm1y6vJsOvlA+QDKZJFEJJk03lwIEGQQbpklUlDxalZtOSWQ8ArXgeDvooINUIx3Uo5CpEKv8PedAsBmthmlRvZG0PKitbNi6UZrWbigbczfI4jVrlN8q78f9IxCBTIlHksUiUlMN1lDMcO58RtPg3hZUMoW1XJHgk6SG6ePaVLea/vy8TASjmaS+ydS1MIjSet4TlTzJHtPPtJckHu/tZ5Me3VwKosZvkoa1kf1BUCQq6wmeqKwxKFK59+wBwkKgxiJSGR9cM9bbIKwQoglF1r7CPGVtgeeEsWpy/+dVhcr64ffYsFHpYXINZi4/5JBDpNiRqCeddFLch4MNp8O/2O48UYMv5wdbd1eiMrHE7f6cr0R1JKqDg0PRIFHZPNpQjZpe9yFrSHARkJpU1OnS+1heZqkCNSSBlGmvWc6RknXTxwUQkQSAKENTCSi8EKjRgCyETGXsEcihsKUzMPeXkkzWYb3RXz53kfr5iEkz8+8Z/x/fU6+Emwkilf3s1KlTlXLXBikSz1MvXfAsmm5aZKujMc+i6SSBDQ847d1qYhw4EjV1cN1+/PHHUJbWRzdZ9JNEZf5kbiPJ4afCjnWZeTYIX1SSaH/88UdgJf16jEEAUSXEGk2PmDARqNFEKmrZn376Sd0vetqY3k8kAxKijNcglLBB+aFC3jI2/L7uQfihJlO1kUlroVESFTXBm2++udvkxabzu+++M/lWGQ86wIJsR6KGTonqyRPVkagODg4Bgk0GhIsJpQmbaNP+aWyWKMs1fUw2f5A3JrvwsoE23VyKfRDny3FNkmKoLjku9960hxfEL4EvJGGyKstkCdRo8HlQD/Fiv8gmn8AGpQbEKceGMIXYhRDg2qY65tMlUiF7GdcQzabB516+fLnxRqxcQ47bunVro8flHnE/TCpauP8El6aDWu6ZaaURZE000Z8OGOP777+/kfMqbgizElW/L+PPTzKNMambPPldpsw6QtLGbxKVvQFrLerPIFWVvL+2ScLagKZTfqqBva4JVIGwn2Dvx/MTq9mUX8DyADuBIK4TYzUIEjWIZ9PWWugFXufATCJRjY5WMhk8kF26dNnlxc9NbwozHU6JGhYSNTdmtqR///7qtVt3aadEdXBwCAHYZGhyJF1ABGgLE1Ngs4QKBpLXJHRgGPZjEkTp0nvTx0WlR9BhA5CKKEKTUTmnQ6DG+nxs8DkOzZV0gyX8RwnyGFcmkgYQqZw3yiWIOy+AgJk8ebLaz9povoG3K2Rx3EqYFAGRjzWRaXWWDQWP9jw2fa5a9WMSkA+m7hU+cJkSOIYNKBAXLFgQSLLQCxh3pv2xg/Ll9gLIU9aQIICXItaBunmz39AeqKwvqFCZIymbD4K8L2yOJYnIWss50kyKqhnWnyAAuYYSFRLVb7A/5b39JvzDoID1G7ke1sstW7ao/UqxJFE/+eQT9UDGwtChQ02+VZFRogYpny/WyC/n312JikfJ66+/rl58vwu2aCWqayzl4OAQHNiMsPEz0TwCwsI0iao7rJo+rg3CM7q5lEloEtUrSecVkImoJ0xf24JdhtnQ+kmg+olkiVR+zzXhmbPRAIjjo2AyXcZu0yLAhmJUB3imFUk2AlZTZcPcexRrOmHgkBxQhUMAJZqvbKxzQa1ZYX5fbEOoFqGSwG9QDo5tghdS3TQKNpFCgdyxY0d1PiNGjFBj1PReIBnw3niejx49Wl0nfFFJBmqP1KCI1Dlz5qgxYzp56AUrVqxQPIzfZKZuKhUUiRpEE631HtZLxgLPTabsJVPepUyZMkVJwR1SwzatRC0RLol/sUHK5fxOierg4BAO7L333sofM12wsSHgManeQOWgvUZNgk2naXUNgQTXwPS5YjnANTV9XDaZkGK21KiQtFznSZMmFRr0ZSqBmgqRSnC5atUq4yXxGqgvSNqavo58JlRhpklUxrWNplI2Akvd6MZ04GiKREUJBekUVEOcTEf9+vUVUZUooahJVL+JrKAUoTxHjCvT1SCJwL1g7TNdheF13wGpzljw8z4XJFCjrwXrI1Yd8Cbjxo0LRJXKXD1mzJj8RlckSqNFXEERqawjnJMNe5xkEox+N1lCfRtEUylb63YikODi8yYiyolnWAfDZn8RDymf5dVXXy3PPvvsLj/7+uuv5fTTT5f/+7//s7a5L2rl/NlOiRoMSpePW87vzRPVKVEdHByKBokKKceG2rRyxJZqlE3gblUCBs7VdCMsNoIoF20Ek6jWCD5MXwdAQIGPG1YR8YiJTCdQkyFSGcMQygTCtprDoESkFNV0dZIe09gEmASEMtfCdFMpGyoZ7h8EmmkLBsoTTZCozOEQgVguOKQ2z9LoLdFayLPOfOlFYW96bWFt9ft99dgMQn0LMRVUST9JQEgqv94/HoEaDdbIrl27qvkdVSrrqo21uyAYczRrRH3KGnD44YfHXQuCIFJRHlL9EkRDKdZ6W1UaXtYkqrX8rkZmfaX5m9+eqOvXr1d7hURrMHM4cU2mIGUSlYesb9+++f+eNm2aHH/88epBfeutt1THVTx+HBJ5opr31XLwAE2CxijnLxSusZSDg0MRI1EhzWz4otpQorL5o2GDaWWPLR83G76ounkHQTL+bzbAhpd9HHs7lHJFkUD1QqSiGsLTrnnz5tZ800gKQFhDopoGY4/zNq204VmhBNN0UykbSlQbx4QAgagxUYKaaYFjpq6FBPDMa36TiiQbIMj9Lq23VQ3iBcw5zGn4tvsN7jPzNQ0SbatRvRCo0eOgXbt2KhlHAhSbQ9ZX0w049ZpC4m/IkCHqPsRSnwZNpDI2eGb32Wcf35Wg+hpRocBn9htBlfLr9/X7eq/3WLVRbEhUApjoTm5vvPGGkmMzMdC9dL/99pP777/f1HkWYRI1MyTLxamxVKHQpKv+/w4ODg4ZTqLa8ouzVU5oQ+FK0Mem2rQaF6LJxnHZBGv1lS1FC4oV9nLjx4/Pb/hT1AjUwohUSt8ov0QlY7PUmkCc/bRpVSewpbSxcVxdaq39lMPs3YoKFbKGhE66yLTAMZPXQueL6g+4zhDH2JQEARJSzN82icBkCNRosG7ScBtClbkJMnXs2LEqIco6mwrxyx6LY6Fw/e6772TUqFGKpMSTlXUtmUoEv4hU/Fkh+dkjBQHWMD5rEL1peCb99iUNyg+1KJOoKcsgKT1hs6m7qQ0fPlz69eunBiOvG2+8US655BKT51qksC3Pey6rpCvnD7ac3ylRHRwcMhNsNtiIsulON7Nsu7mUSe8nG76olDhpHzeT/lyoTyDhaHQB6WkSBGPcfwInWxtPyD0Cux9//FG9BwRjUSNQCxKpdC7mmYIo09YGtpQblMWj6jziiCOMH5tnBJWT6SCV55mkgOnj6sDSRlMp002bdFBoYlwQOMZryuvgDcxNzFFhJVGD9EU10XwynSoMG434EoE5pEWLFkrpWa9ePeNEWaoEqgbzBgQeL+ZoxGccD+KS33HfGDN8hYzm/DW5yjjibxjHzG28SFbzMypUWLM7dOiQlvWMJlKpwgDRojkToMKDccn1C0KFChibNho5eq24YHz6Dd4XlbbfyM3N9UTkZxqJmvJOpVu3bvLoo4+q71GfTpgwQXr06JH/ezYsQXR5yxTs2BlR5jhP1Ewr59eNpZwS1cHBIViwzrIBN2GdQyBgOsizVU5oq0TRVuk9yWb2SaZLC7m+++67ryJSbfrtUW4HIU6AR0lgUSRQo4nUQw45RN0vngcCSZtKFYL8xo0bW/Eo4zNAIJj2AuUZITFg+rg2VDIE67xMH5dzNZUYyrTAMdOVqAT0xUURChnGWA2imZFeT/1ubBUt9iI5arpHS7oEakEw95NgJZFy1FFHSadOnRRpyX4Bz1AqQUgQkNwDv/zyi6oGgWNhbWIfiLKV/0sSkPXEhHe3TUUqPq0k4Ux7dXsFzwPPoy2LnkSJU02UF4emUl6VqPwNsUwmrYUp74BuueUW5euBYoPByAOPbFyDzLoJw/Uir0Qt4cr5w9ZYiqyf9oDbzeh/i1OiOjg4hAOUklK2RvAIWWKi9J6NlknSyIYCh3NlM0i5GkGSyaCPDrqmjwvpOHnyZFmxYoXxBgoEOqhPIFJbtmwpNkAgjK8aQQ9jDcWu6ZLrsABrBNS27F91Uw6IYxtqGfYZBHKUddr4HAS+EMI2xkO680284FJXt5kCcw/EuMnnGXDfTCQTmG9nzpyZUYFjGMH1IwBPFKzzO4gpvxHdXMpWc7pYwCKE9yYm91t1B0HGcxeUGpU5mzUR0pH3N5GoMk2gxlLQsmeKlfRhXzJo0CAlYjM9n/mpSGWeZ23q0qWLBAWsE9iL2bDQSQSquNlL+d2BPqimUtu3b/dEorKHZa4KoslYqkj5DrKBYmKimdSRRx4pn3zyyS6bTLrPuU1BfGzPy8xlZbnGUsF6om4otMxit8DJKVEdHBxCBNZZiJ50QcIIZZn2vgyzAodNICRewYZH6QKyhY2e6eNCShN8oAy0AdSoEAM2GlRoD1SIPkoEUfeMGTPG+DUKAyA5+GwopxAF8IrVbMoEOB6NT1Ag2SBVIJR4TiDYTQISaOXKlcb9UDkuwbUNiwDTyhvunSmfVeYExpuNpmLFCSR2GOuJ1KjcM5Sofjc84hnneQxCjWqrwiIRiJ90FUZQYD4h2TFx4sS053DbBGpYYVKRCqFG5TLrXlCJWMYBYzKIUn5AQiOIah5d6eG3fcK6devUHjhRE0biGMZFUPYOqSAtGpwB+Mgjj8grr7yiVKnRYHPYt2/fdM+vyMI1lsrUcn6nRHVwcAgPWrdurQKEsJbea/9S0ySUrcDQ1nHZL0Fs2Sir5BqzKYfsM4mCTaS0fQBjjoZLs2bNst792C+gEh49erRST6HeRLERq9mUSSUMnYFN+u9q6DJQiDnTAQkBIASCaTWLrePaIFFJVkDCmSBSmLuxy/BLWVZUwTj3shZSvYH6LCh/0iDelzWNBk8QWH4DEpX3Nt1YMRkwLqiyYc5NFcWVQDVNpHIdIdRM+8MnA6pqqNQIgshEkUkSh+vpN2yshcm8b6K9CHN3mzZtJJNgjcF744035KqrrrJ1+IzHth2RbrrZrrFU6Mr5CWwuvfRS9eL7fKAe3rZpVyWrg4ODQ4CA4ILoCqtqVJfwmFa4EhhCvJj2W7N1XFQXlCmZ9mfToGyR4IAGVjYI1GigqiWYpPwKVYlNP1bbgHCknBrPORo97LfffruU2dkgUiEUOBYNq2z4raLoJFgz3QwEkGAwrUK1eVwbgSPH5Hk2ce94fnjGHNIH15HrGVZ/0qDel7EKeQyZ6TdIiuA7GaQalQQFcy1zbirVGsWdQDVFpFLBQHLvgAMO8L2UPRrcS8j9IM6BvSWq+SCSZqaqJ2y974QMXAtTGkGYFpM9T/b15JNPmv8EGQodoGU5EjUYaBJUK0ujQIbq2WefVS++//cXUQoip0R1cHAIAdh0TJo0yQiRZSPIY6Nqo2kVpZscm4256eOSMTd9XMA+iA28DUUQ6iqy+IyFXZJ/hglUDRSbNLNAkYd9UxDloukCYp/yfR0gs7eNBZNEKv8XxQUefbaaWtD1mCDRdKDGvhUbB9NkJ8+DjePyHNhoKmWSmNXPmYN/CcUgSdQglKisZzo5GASYV22te17BXJtKWb8jUM0Qqdz73377TdlPBXkdIdHZqwRln2IrWejl+qPGNr0WegFzbaL35ZnMxLUwJUPOgQMHpvRmzvPnX2zLL+d3JGogKBVfiRoX0YRrtiNRHRwcggedWSHQaIhU0FYnWbDRgViCLDGZpSd4RB1nUhlHYEhgpDuFmzwum1xK700b3OPPhu8salHTDXS0Vz3nTYDTvn37lEq5vRCoGow7AiqCKVQE3A/K/f1uXJBKQIEVAf6J7EtRoCbqNK+JVN0hOdVmUyiyeMa4P7aCRO5h165djR8bohNi1nQghpUC19/0cZlzbDSVgggzQYDrwPG2224zcl7FHcxZzH2IHwp7nlmPTHcb9wLGN6W8fjeXAoxXSCwSbX57DkK88XltrXvJlPWPGjVKeS8y5yeCI1DNNJtinmPsMQaaNm0qQQIlLPuwRP6cNsBzz1qX7j491TWLOXG3ZtmWsWPHDkXeJko6si/i7zKtnD8lEjXIjmpFjUTNtlDK5ZCMEjUJnx79t9k5yKvsnJeDg4NDEoDspDyKYDzdzRkbS47nZdOT7KYbkpfNtMkADrKT41LKbvK4+JdS3g0hmIhcSwacI15gkHc0aLJRTsYmFGUoZGqyHdSTIVALNg/hHqPSHD58uFIe2WqYlO6GHvKE4JjyVrxPKa3zinSJVMr4Ga8QqLbK+SAIeC5sBIkEOtxr0ySMVueYPi6kr2nvOeYwlDXNmzdP+1jz589XQTUWEg7pA5UbFgvTpk1ThFkiMhMVvZ9ltcw5kHGMS+Z/P0FCEHKZsWu62Vwi8FxThYFCHsLt/9s7DzApqux9X4JZV9ewht2fOSdwxbgGVBBzDphhMSvmvKuCWRQj5oT+FXNERVFEMIu6umbFDIguZlHi9P95L3PGmp4O1d1VXdXd38vTz8z0DN3Vle493/3OOe0SahzDsUb8I/uA40A2QD4koEYnpFL2h8yeTTbZJNE0fhZPGcNokpkEXPeU1qi2kGnvnbNZdsz8/PPP/pgXm48w72Qez8J8LSElKAGYhCmdPyUi6oypzjUL2kVRUykhRAoxEbVSmGAhKhHYRwmTNxxy1GmshdclyMRNiRAZNRZExlUjjkAdUQZHFkJBnAJqEPYX4iAiI66Hp59+2gt6lZYWiFI8HTlypA/omKxjBihFQK00tZ9twK2LsB11B3oDhyufk0ZFUcN1Rjpw1E4y9l8cKY72ulE3D+FeQzAehWuW641jlURQXY8QrFP7sthYSKCeVHOpuBoXhtk3uFGTSuln3GMRibrdSYIgynyJe3G+4y8BNbrUfs51Fo3XXXfdxAUytpH5UdQZRmlP5U/yvX9qrodaTLzlns11WWtIRE2ApsCku4McjckwW2DSGjal35yowf8rhBB11FwKYSnqQAc3JxPuqIPHuF6XCR9u1DiEToJZHK4IjK1qbkcIDhuCVlwiuK3iFlCzBWiCT9wenEfDhw/3AStOlCi724eBoB1XGtvA/sYNRZo7LrBKHBmlCqn8nlq1HG/cq3HBZ0XktGZuUUJna661qAU/nCqkOUYd2NrrliOUF4JzmnM8iqZStVgDLu2kvS5qXI0Lw2Dlb5KAsZrSQwiU1R4HsmGMw7XM+Ji9yCcBNTohlXuwZUgl0dAoCAtfzAE47kk4obneue6TEDJZAOVYxFWDvdJ6qLU8FkrBS4CmzB+DZ0c5UZOh45xEyqWl9E+TE1UIkd7mUmEEs2IgZuBEjTrQicuBE9frIkIyAWTyGcc2I0ZRlzMuLDUKAbPQsYxSQA2C2xKhEccnATTlEXCnvv32275LdBwiAp+T44XzZfTo0f79+JkgbosttvBlBqJKJyxFSKUOG+cowWaU5SGCIFKTshdFmnk2fDYWFFhYiBr2C+dKFKJkNV4XETUqwbdWA8d6EFFpjBd1xkUYEJM4J5N4b0QU7oelZChECSIq752GJoSUm+EcePnll1vmTRJQoxNSEe4QqVm4LLWsUBwwBuNCTWpbGDe47pMQk7neONeTKK/03XffFV3IrNWmUiARNWERVen8CYGAWmpzKTlRhRApxOpPIuZUCqvGJkZFHcDR6CXq9O64Xpf9iaOToCpqcELgRh07dmxs6e6IhbhBSfEmOKymgBqEYJQ6rVtttZWvU4gjhPccNmyYD2DZNraDoKtU4Z7gl+CE/chrIpoinnI+IPhtueWWPrjjHInDfRJGSEUwfu+993w6Y1wNt3hfXKgErHGkTJpzLg4XTVxphnGVCCAojEJEreXAMc2wP+nAXszlH9diYdjGhUkIiYxp3AtxlScBC0g4AblXJe1G5TiwuEadVMQ+7tESUKMRUql9S91wngvTwCtumCewsMqcK6l6vFxzSdUD5l6ThAt1ypQpfv5ZTERl32BYqMXa4PEsiYtQIioCalIXtGiuizrtV+emtXaiEuiwamXft6CaqEKIFIJgRpOc559/vuLmUryWpfRH2S2beymvF3VdxbheFxClCAaoWxh1AxKCePYzNTrjSvEmaCawQVikoUGwmUk1BNQguDAQD3hYcx7ck3yl9iyTbf7G6hXyYJ9bsG0iJRNzexAc8Xe4O3jw+divUbsPy202hetqzJgxXjzGCRIXCLXUHkOojQOC4ihdvAbHMKpO90EQ5ON4XeqhIs5F4SbiumcbJaJGC6KNOfALXQ/BxcIox7kwcA/EkV9qY7ooYHEJoQvHehJNfpZeemmfgYFjMerxulQYJzhHaMTIWLTxxhtLQK0ARFPmn6+99pof7xDF0qBxcK/lGo+6yWBYWChnvtW1a9eqvzfjFXP5OMsI5YNFKvZ7MQcsjd6ohxrXInOcSERNsCZqxypO9EUOzFGalc7PxIKBvg1yogohUgoTtGeffdb17du34tcyEZX0uygxB07UwROvixAX9etS+5CgipXyqPcFIM4ygUSsjau5DOIpjlTEPCazpDhXW0DNhsCKfRvsEs1knxqmCGsEHSaS4lw1FxPbz7lJWh5CCZNuvk+aXEIq208JA87JONLgDYQgXFQ4vOLoNI7IRDAUh9jHNcs5EPUxZEEljteNsh4q9+r1118/8WYr9Qbzd0qIsH8LiahxLRaGATGHexwLR9UW7aypHaU/kqjPyH5n3OOeRWp1NRe8ckEWgzWKY6GOazKO+2gjwOIVLmPOb8aMcePGefdl0tvEIiDjc1KCLgsGjBvMxaoN1znzpCTee9KkSaFqknOvTkJgjgKl8yfAzGYnavt22v2JMrul84esiWpO1Nlrb7VECFHfMAkZNWpUJLUm46yLyqTOhLGoYKLO6zJhjhrEUybhcaQfErhRMoB6tnGmN+LIo2v1q6++6psrJCmg5gORFEGBIJ/jSYkK0u8sHZCvuKcQJDmPcAOmQUDNldpPOvGLL77oAwhq08YJWTOIzThF44BzH4dv1Pva6qzG4UaLq0RAlPVQazlwrJUFxSSaKIYB4TCOhohhRUyuuTiaJoYF8ZQFMcv4Swqrgcp9e6ONNvJjEAthccwj6h0W21gQ5v5IVhRidK5mU9WGNH7mFMEF22oSZz3xMCTVzKqU8bKWx0KpeAmm88uJmjAdm4OCGVNaPU1H1xNPPNE/+L6tE1UiqhAiXeA2ZPL/7rvvVvxalupIummUIJIRPEUduOLiJCiNo9YbQiPCdFwBL65FUtrjDjYQwgieCRwRKNMkoNYLCKlch3Ys405npFwAji4E8jgcXbjlcBPhlI4aznmcx1E3+sDRTHmDOOqhRiWi8lq1HDimHfYrgk5a66JCUnVRAUEHcSUpsZB7Im5U0qyjaIZZDtlNpCy1n7kPi9Gk94twsHDI9cb8wsa8XM2mqg3lV5gTcq4lBecR4yiL5dWG+1pcC4rFmDJlit//xZyonBssprCIUYtIRE0AG7A7tJOImigdm9OoZrRu7MGgfvHFF/tHqwF+mtVEVTq/ECJdkILGRCSMAyeMW4VJMIFWrTTVIDBkwhx1QMy+WH755X3QFUewjahM4EEqYZxBLYEO+wfHIsErzl0RLRw/ajHi/EXAYUEjLoGG1/3Pf/7jA9e4ar1xnhAExZHujDsHYR/3V5QgoJK+OO+880Yu+rKYEoWjif1KcI1bS0QPNYgZD7kWk2iiGAbuEZxTcTUWLLboiDsvSTcq7494ma/pYTUFVAMhlQUpFhnJJEjaRZl2uHYss4VaqGSLBBcNkxRS2TbmVGS1JJHKbiAQsg1JlK2gwSb7Ic567JXWQ2XBgqyoWq1FLBE1ATJu1qS6XfvkCy43NHmcqHmRE1UIUQdpjGGIS+y0142jVABlAhBRooYa2Syo4cqLA1yhBNUEG3GIbsEaqGuuuWZLan9cn6cRQYihsRvuNhxNLGiw360hVhxp9oi2lDyIA1yiBIBxuHjsWoojxdGcN1E7gK3DcRTNeFQPtTp1UUeOHFn075JK6efYIzIk5UbFXY6QGHVpnbBwfbJ4iJCL4JK0gBrcLkr4cA+n+VecC2G1DIuENJDi+NGQK5/TMikhlfdikSKu8TEMjM/MAeLI5Kj2mFUqkxqgHipIRE2wsZRqoibMbLmdqEVrosqJKoRIIZtttllkdVGZfJHOT1pOlDCxQkSJulQAE0VW/ONw1+AiwGVBABbFvs3nnoojrT9XEykcgKSdE9iQDq4gsfJghXRG9qulMwZrpEYtpJImRwMP3D9ROzkNHEacL1F0os9m/Pjx3ika9Wuzj+OqARdlWiSBI/dqkfyCIoseSbnyk0zpR9zCrcu1mBTcAxhXcdQXK71QDQE12ym7ySabtNzbaQImZoHozbWFi5rFimKZCtUWUhEvEcBZLC7mhIwTFiE5j5gLJEFSqfyZTMbfU8NkyNT6WCgVL8l0/gRWB0SudH45UYUQtQ9CGaJnFHVRaSRD6mrUKf0Ikgi0cQSPOEZ53TjS4i0liyAsDpjsM+mPMq0/l4BqMLkmSKRDOq7UpGrT1fpcjsYVOHI4drg2gw7IOITUYBp/VE2OcrlqcYrG4UJl+7mGuFbjSF9kkSPq9EVcuYgo1tm8ElQPtTqwf3GGF7uvcR/ENZXE/Y97MpkTSbhBuU/hkIuraWJYcH0y12BRKC0CalDk5TzifsLiNGU4GnnBEaGbceyll17y92/GtrANB6slpHJ8aOzItZVUQyXgmmZBPykXKvXSWWyNYswqlV9++cUL7MVEVM4Da+xWq0jFS4Cm5nR+OVHTks4f1onaLLbOLieqECK9dVGfeeaZSF4vLrGTyS3CUtQBCaIVE7c4hE6CTlLDcOjFFXCzX3gQBFS6bwoJqAa1whBSmfDjtmHiLcLBPmP/cq5xzeVrkBS1kIrowUJJnGmKCBqk2sfhoMHFhCiJazdq2MdxpC9yD8RBH4WrifsH9VARFER84OzneLHAUUwoo0ZoHGVgisH9FxEqKScsC4Nci0k2UWJcxVEfZ1p/OQKqwcIpzR/pOM82NqorlXOExR++4j6lTnypJVOqIaRS950sJ45ZkrAIybUd10JnmLGQ9yYmqDYTJ070x7pYHVjKrfz973+v2XqoIBUvAWwS3T7Grq0iBB3nai2Ohk7nlxNVCJFOttpqK/fYY49F8loIegSXUafaIeoh2JG+Xku13hBoCLo/+eQTFxdM/nEQ4HCMU0A1EBqoz8ikF7cNk/9GdtuEgSBt9OjR3jGMCF0sLT0qIRXHHAIngUdcafwEyVzzK664YiyvjwiMQBv19uNAJTBHGEpzWiT35s0331z1UGMGIb1Hjx6hxsKk0uoRoVhMQPhJAq5BrkUclknCmIrrPY60/koE1CAsogRdqWT7TJs2zdU7iOw0aKPRFucK9U8radQUp5DKeMz4mnQaP2PR2LFjvcs66trcYWB+geAfx1gY5Xj52GOPuW222cbVMhJRk2wsJSdqssxWbmMpOVGFEOlk++23946BKDoOM1km2I+68QbBG8FjHPVLmaTjAIijaZK5UZkgx9VVmck/QQbvQap9nAJqUHDAuUXwQS2xMWPGJNI1Ou0QHOEkxI1EkEBgHlYMq1RIJZjluCCyh2nYUA5sEzVyCf7iEPn4DJQHWWaZZWIJ3HC+hKnDVgq4zrn/RSWiPvLII/4eLeKH/Tx06NCif8ex5bxMYvEIYYr3jqMETRhwFOIArWZzp3yLn1Gn9UcloAbnLdx/yTxgIe2pp57yi53VqOdabRCIGafIauK6oG7lCiusEIkoGIeQmpY0fuAzsT1JiZgshDJ/y9fsK06mTp3qzREYDoqdX8OGDav5sVAqXqKNpeRETUdN1NbB4lxzzeUHDx5834KcqEKIlIMAgovsySefrPi1mDAzGUL4iRpqaiF0Rp0aH3etNwQs0qQqcYoWg4APtyEOkFIacJUjoAZh0o1Ljn1I8JRk05G0waIE7lP2CWIozqli6WpRCakE6a+88oo/PnHUEjVIKyZVFWElrkYb3E9In44aFmQQpKJ2/rBPcMpFUdoAoeqFF16o+cCxlrIyWBQoVt7FaugmkdbOtYColJQbFeGS6z3pLvTBtP4oyhtELaAGIfOA11133XX9vfzpp5/297YkattGDfMxFgoRiBkLcJ4yn4i6tEvUQirHOg1p/JwDnHvMD6IuKxMWriFMCqXOT6JazFxggQWKLsIyl8KkwTy3lpGImmQ6vxpLpaQmausVYI7Laqut5h+tjpEaSwkhagCCdBxPUUCtRwKFqAMEJlqIE3EIdUwgcfZE7aA1cKMyaY+zhigiKM4PxLMwrtBKBdRgUL3OOuu4Nddc0/33v//17sekXFJpAAGToJJJP00aqAdHw7VyKVVI5feI6TiUcQvHhblQWYCJo44a+5HgjkWeOByulCCg2VbUsNATlaMH502nTp1iqQcr2sJ1SrmNYm5UWyxMIqUfEP8RUZMSMbkmuYaS+vwG8wGuD+rYUtImjQJqthDI+cVYyaItwiPvTc3qWoO5DFkow4cP985oBE7qwM4///yxvWdUQirzPBYBunTpkmgaP3AeMIdKwgVqIjgZTHEutkaRyv/II4+4HXbYIZFyB1EiFS/BdP4OSudPhxN1etjGUnKiCiHSD5OTxx9/PJI0MwJRRBUm1nEEj3Gk9JN2R2BIQBNHYEpgRqoWk/84A18ELVxSCJmkksctoGaL57hSWUgcMWJEw9SAM9jfBOJ8dvYvwifieRTujlKEVARcHDYI23EuvFM+goWSuIIv6ggjkpjrL0q4hyCCRV2CgPMdV1xUoqdS+dOd0p+UiMh7c+0l0dzKxkvGGlLpk66HzbjKvIDFw3KyVKoloBqIQJbBgZP2hx9+8GIqYzb3jqT3Z7ExDsGNeqeMcyzWIpwiDFerIVKlQirir5W5SaqJk8H5Sn1h5glJiYPsQ877JJo1zWy+hxUTUbkm6mUslIqXAHKips2JOqXNxLlfv37+0SpoVE1UIUQNQJoZYg+T40phMkhgE0eNUcQJUsZKSVkPCyn9uFniEH+BTAVePw4ROLjvqVOKGI4rNFdAFoeAauCo4HWpAUc6ez3XgDPYxwSWlDNAWCQ4q9R9Wq6QynYgPhJkxumw4RpErCW1Lo4UQIJz9iXXTNTBJUIALj6El6hh/+PEQvytFOaSTzzxhF/gEumrEY6Ygxszic7rxIKMsXGOJcVg8QQRJKmyAkEQoShzwLhWighZbQE1l5sZEZL6oWw/GQSUVaJWJwJ9GtL9EfrI/mHfcj9icRTxccstt/ROzjgWueISUpmHvPrqq37BNynnZRAEVMYLMlaSwBpKxTEWhuHbb7/1c8ZijceY7yC2svBQ60jFS4CmlsZStW1jrnny1ERlkOnfv79/tFoJnT6ltfgqhBApBCFku+22C+XACSt2IkZG7UTE4coEuFjNunJfe6WVVvIpynG4QXh9BE6CEILvOF1CBBgEYdldlOMUULNLLxAcBmvAIe5FXc82SThH2Mek7SNYUyeQST7nZ1xztUJCKimKBOEIm3EKArwnXbEJQuMKoBHeqSUcR0MsjpkJGFFDQB+VC5WO3hxH3GoifTXCuZ9zDsWxWBgGhA/O5aRSwRFyqePIYkrSYh/XM4IeLkPG77QLqNmw6MKCEcIkYzPzMVLlKeeBw5btRNSvhkuVY0mjH8Zr6jGzDdyP6fex/vrru27duvnrI45GgnEKqcEyN0nXQQVKHpHKzwJAUuCCZi7KnCUJxo0bF2q+hAu1R48eiZ9zUSARNUknqtL5UyKihpy0mNhq/08IIRqgLipBAYFJHA2mcIwyaY4jVZzAlCAiqg6w2eA4YNKICBVnQETAg4iJm49HNQXUfDXgmDBTPw3xL87asHGDEEyASTojARypmQSWiIrVyBbKJaTS4IZgmxqocR9bzif2AQJKHBDUIRrE9foErssss0zkQjfbTVAaVUBq6YsyT6R3LLSMiyRSsBljcQTGsaAYFs51RCmaJCUNojaiGs66YuN3mgTUIIwfjJncxxlTGDvJaOAcY7Husccea1m0wwGM2ImIXs75hyMfIY+xg32B+xUHNu9BRhKL4IwlbAdOWcQ+Fs3SdD8qRUitVpmbsCBMswgTdcZKqWMhdcFZeK8206dP94tAYRYd6yWVH6q/p4VrylDbrL1rn6KbV2On84esiTqzOcjvmGzhaiGEKEb37t3d3nvv7Z0cUayOMzliYht1qhDpTzgdCZZopBQlOEBWXnllX+uNADGOVGUcJyNHjvSBC2JOXLCfCBJxk1BGgECsmgJqdg043heRCQGS1HcCMs4Nnk+iK2wpmFDJOUfKNoE35wmfK4mAzIRUji2p7wS8iI5xp+VZGj/nVVzHDIGD/RpHgxKCaIQHHNJRw/XFIgnpiZWCwPHwww+76667LpJtE6Wx4447um222cYv1BUqi8HxRgzg3hCHazqMaxZ3HeNgEvdQ7u3MFWjsxL0njgZzpQrLOFJJ2eb7XAJVWgXUXPvWalXi/GQMslJG3MMYi/iZ84+/5b7DA7cexyEodiIy8jPnM6IrY4Y1n7R0auZUnEd8pbRAmsTSMEIqi4i2sJEN5QiYd2y88caJN5IC5mOI4IjTSYGAzkJsUinyX3/9tT/vil2DHDvucdtuu62rBySiJoCtMcmJmjCzlepEbf67DkrnF0KkG4IOVnuHDBnizjnnnIpfDxHSUteZlEftRsWFRxAZtYiF+IvbjkArjs7gltZPoEcQjiAWFxYYIQqbYJkUBGUIpzwI5BDYCWhxwBAI0VwgjmY/5UL9NFLkcUvwQNji3MAdlIbgm/OGtESaZLBP4xTkgc9PMMP7xJXGT8oqQVNcgR3OG45h1IE0AgfnM+VAouD555/3QS4uMFF9EGUQ8YvVpEW4RPBHQE9CROW+yXjCNYOjLAnYBvYVY2Zc7vFSYExlO15++WVfmztYb7FWBNRiompQKCRzBkGUMdUejF3ck6wWOfMv3IacK4yv9kBATYMrM04hlVqaZP6wgJyWY858jG2MonZ2ueAej3v+WYhx48aFcqHeeeedXmxOqm5s1NT+1VaDmFW/Qx3c7OqxJmpO6Iw8s7n+m2qiCiFqgH333dfdcccdkaQnMklnchtHzTgTA+PojmzuGtKt4qrhyYSQCSQCYpypoKz28zkIKgm0LbU/aTg3EHe32GKLlpRFnDWk+5OuyDZ/9913VW1IhUiIy4cgm2CMWnDUpUMoIQDbaqutfFmCtARi7B+CQ1xKCG75mk1FBecOxwMHblzggqcsQhyBHUID9yIWYKIGZxjHoFiX4bDcfvvtbs8990zc2deoMAbss88+/jgUAzGEeyv3jyS2k/OZxYGkurrbeInTL85a36XA4if3EcvCqHUBtRCMT4ikLGwh6HM+MCawoMNXYKzlexbAmDsx3lLypx4E1EKp/YyRjOWM20kuIAdhm8gciWrBrRwQ3plvxTEWhuH333/3C9RhSt9wDyYuqRfkRE0AGxzbyYlaOzVRLZXf/z+JqEKI9INQhBuMmlikC1cK7kfcqEzio0wPs+CRwI3AIQ6REwdLnO6auNP6s2ugEmS89NJLfgJNQJWGdL3slEVcNAQYiOMIAwhfuDVw1NoDgQ0HTbnbz3wKcZyJPOIXD8RTHrwm72FuJs6BNOynbAhACA4RLzh3cKEhGADu1Ki3mXsCwnacafwEl3yuuBopcZ3hFoxDQCEgZVEkitpynPP33nuve/zxxyPZNlEeiKg0aeO+UKi0BOIVx51O01GJ6KWAiIuzLamSAoAoZ4uC1OJOwz2TxR7GOuYyjH8I3fUmoIr8jlTqrjM/ZDxMyqWdDecjC5+cm4jYScFiInMoaionwfjx4/17F9sHLAwz79h5551dvSARNQEyzQn9SudPmNmaxdDpYUTUgFtVIqoQogYgzXWPPfbwq79RiKgElTRBIMCMuhs2E2PcJYhgCF9xuGsIwBCp4kgxD6b1Ry3u5GoiRaDLMUVIRUDEnZE2Jwr7GeHdanuynVYDDoENUdu6UVv9N3tYHThbdKZ2Jz8TuFiao6U94hpD+LD6uhxjviLYpkEAKAS11LimaD5i+ylYIzVqIRX3adxp/BwzXKjLL798JDVFs+EcIH2R6y1qEOQJSkkdjgLEU/YznbBFcrCIwhjwwAMPuN69e+f9O64zq/+dhIjKfYz7AIJRUiJqcFGQBQVcoEnDcWGbWJxhQY7rSQJqYwipXLdkkXBdpuFcNFjsYI4dR5moUsZargdMCEnNdcaFzAghK4761MGSHLWORNQEaMpkHKd6+/bpntw3qhOVAI5A2L6f9TcBJ2qH5AtZCyFEGEidoQ7c5ZdfXnHtQEQ6AjxcYFGLqGwbE2SE1DgEB4QMJuSshCM4xgGORybUOCc23XTTSGo15hJQDURD0ucZrxCI6VQbh2gVFTgVeATFiVw14PgZMYsAgd8DTTQQGHBOciyza8HVWqo0wi9CIyIqjZGya4TFIaSyP3GXsQ/jrHeI+5i027iEQ+4/XFtR34MsILTGLFHAAhYuyLSL+Y2ApfQXElEBsWbUqFH+HpTEfQVBYsSIEUVds3Fii4LUaObeFHUd9HJgIY0SA6QNcx/j/phkHUoRP4jmiJXMDVnY4JGr2VQS28U4xDwvyXs780PmS2HqkcbBzz//7BuiFSuvwHwHEfXqq6929US6bAsNQiYzq9aOnKjpFFEJMAhGebSkurU0lZqdJdFqb6kQQpSFpbzRVCMKEFERSeKol0aZAEsDjgOEI5w1VlctDkjtYn8TfFZaV6+QgGoQ3OKaQ0gk8CfwrvUacBwnhO5OnTp5hybwledwI+FwJGgghYwgutYEVMQZhHauI0TwfE0WTEjlPIiiRurHH3/s04QRbeNyLZs4TDmHOI4L+46FENxJUQev7F8C46jcTjiuH3vsMS/eieTp2bOnr9FM+mkhuH8jXlotxmrDQhPnIOJRknBfQrAkZTmpGq2G1UDlfsh4yP2fhm2IOKI+oYkUmTaM+cwFsmukJgXZHJbGn6SrkrGWewT1WKMoPVMOn3/+ub9HFBvruVaJGXr06OHqCal4CdDUnM6vxlIJY2n5YRpL2d+Y8CqEEHXWVCMMCF44wJg8RQ1CIAIZIkwcQRvBMSJwnEEh+5sgD+ckwlecAqrBBLpLly7+sz333HNuwoQJZb+viBdcG4jdnCcIqMWcVFEJqdaUjEA0TrcyQi3EURcYSHNmn8XhQmUBh5ITUbl67rvvPi/+J9l0RPwBizRdu3b1HaKLgYjJGJeUeBj3gmJYELCoRxnHeB+W7CZSVp7Hmk0lvY+EiyUjwJpI2aJWrmZTSZ2PjKFJpvED+4D7k5UBSkJM/uqrr0ItOtZrc0WpeAmgxlIpdKIGJkoEvxdddJF/8H2rxlIdlcovhKgtEFGHDh0amUsRtyCOTku1jhImpqxY04woDgi+SBmnjlRcIGri9sPxVE7wWYqAahBYItbwfxCJmegn7R4SrcF5ihMOMYdgMGxAUamQiluLOqg01okzPZj7CyIq7xOH05Xrljq6cbhQgTqrBKRRNdsifbGeOhHXAxyPMAuKXKOcbzi3kyDuBcVS0/rZjjiyT0oVUA2uf5yAZC28/PLLiYq8Ivp62gilZINmN5FKWki1NH4aJiaZxs/cm2uD8z+pWvjjx4/3pgrq84dprliPY2HdqHjnnnuuv8lyQPPVMuKEz37cddddCTaWUlp4KpyoTFBmTm+VLnbSSSf5B9+3cqJ2SG+9OSGEyAUTLRxRUY13pFFTk7BYWmS5AiSpwHEFj7w+E2DSoOJM60f4IghA9GLiHaeAGoT/s/HGG/sAg+ASZ51IFgIezmdKPJCWWI4IWK6QykIwjh4WJxCG4kwtRLznfaJuDGfgpCWIjqPhDtcJCzdROWhxzFKnmBRykR522WUXL8SzqFBsnKD2YpLiXNwLiqWk9ePOrnZafz4BNQguOGovM57ToK/SEjoiOYi3qe9OJg1ZGvmyDZISUoNp/EnX4sUEwEJLnGN6MT7//HO/6FhsLvPQQw/5mKEemyvWjYjKRHH33Xd3hx12WMG/u+WWW/wk1B477bSTqzY2BqkmasIEU/Oz6qK2QU5UIUQNc/DBB7trrrkmkiCISRNuVISCOIIqAiOCIZruxAETurjT+u19SIckMAjj4qlUQDUIOGl4wCT7mWee8ftRrtRk+OGHH3z6/rfffusDw0pSxUsVUrmGEG5xn8adUo7AyfbE9T6kFON+j6shFvcygvaoGuhcf/31vqFfHGUHRPlQw3Dvvfd21113XahxCEEHR2oSIORyPbEAk7Q4yMJPNdP6wwiowXGW8Y7FSmpotmQQipqBc4tSRCw4Mk4WqzWahJCKUJ+GNH7ObzI+4srICDuv+eWXX0I1+br22mvdIYccUpfNFetGxevfv7879thjW5oQ5IMVcjrD2qOl+3oVaWppLFV/J1RNOlHD1EWdPqXt/xFCiBoBRxTpqgh6UUCaFWk6pChHDelJiCV0442jZADw+mx/nGn9gLMNtwBuQJwMcQuoBk5h0qp5PYJw3l+u1Oq7T6nZR+MFAsNiYkDUQiq/J+DiPIgzgCGNH3cfDu+4UgsRVdiPUezDbNhHCDbUoYwC7isYNg499NBIXk9ECwE9pRaKNSVCyMH1jHifFCz2cY0n3UyHtH6u73fffdcLXmkRUA0WP8jAYDtZtFLDqdpqIMUxQxjFrcjcJQzVFFIR6LkPJJ3GDwioaFn5GlJWA2KJJZdcsmhJIq5lFjZ69erl6pFk2nklyBFHHOEOPPBA76JhgtO7d++8FwQTIR6G3ZSxnLekeZcI/490fibYrCyW+zriD2wflrMvO3ac07WbMcVNn/Krc3Ms0OZ17Fi3m/qbv1gyHeZwMxrgmFWyT0VutE/TuU8b5XiQfkRNIlaFmXhWCnUDWZFnQofbKuqJJYIJwgyTNWrDxZXWzwSP7Y8zPYvFXd4HkZQU/2yhKWoBNQiLxZtvvrkX1EaOHOlWX3117x5IOhCoZ3Bp4HLmOEclnuYSUhFogWOafTxxVlJuA4dWnJ17mceSGs01GlcaPyItjsAtttgiltfnHkNdt2K13cLy4IMPevfvZpttFsnriWjhPssiGkJqsexFYkVEGgT2JGoP8p6kDyNe4mKPql5vOSBaIZzgbkewjGNbyhFQDe5zjK8svuJqZHxPMt1ZFIbFARaxcXgyRyqnQZIJqSwSQxhnZKngRH/ttdf8PSPpNH4WwhmvGP+TAl2MuUXXrl1DZWTsuuuu3i1ejzSUiHrWWWf5YIIVq+HDh7vDDz/c10Q76qijcv79+eef7x2u2fB/K0n5sRvH3L+0c9+8H0+6YiPy1FNPlfx/ts60d6x5jRrxpJs856zgNZi68+STT3q38mI/vOaQHX74ebJ77vHHXaNQzj4VhdE+Tdc+TaJZQlKwcMiEc+DAgW7BBRes+PVIdySNl1X6qCdJ1oGXySuT6zi6euIysrT+jTbaKDZhkUCY4I4aiSaWWkAep4Ca7Uqltt6bb77pBSm63kaVuixmgdOY64H5HaJLnMJLISGVIAsxwvoExAmfF6hjHBc4enF0x/FZOGYcL66/qKBsCm7HpBp+iHBj4eWXX+6/Frrvs8DGceQ+zcJeEsS9oFgKlKdhHGPM5JqJcsysREDNbjjF/2es47gh0IV1N4rqwLybcwhX8wYbbFBRnes4hVQMb2RvMb9lQSVpWCDgnhTVgl85cI1yvOYrUnKBYzx48GD38MMPu3ol1SLqKaec4i688MKCf8MKBjfMMJx++ukt37NCxcVLB/Z8Iuqpp57qjjvuuFZOVC7OLbfcsuwbPK6nMbe95y/GjTpt5DotGW7bReF9iojSvXv3kgPtju/P59yvv7lN/7G+c4uu5p8Lpqr06NHDByvt3pnq3FjnFlhkMbfNNtu4eqeSfSpyo32azn3aSGlfBBOIeTfffLM74YQTKn499jljGW7UOFaamRzj6LL6T3GAu+DZZ5/1zr04A1SCOIIFRC+CBxM14xZQ87lSR4wY4UVwxC/qfInK3Jik+hHgWFop523c5BJSqX+L6Mi5FnegZWn8fN64BMNJkyb5DulcL3HAceOYca+JAprb4NTDjSrSy1577eVOPPFE71jELV5IlLOMC1yNSTj4q7GgGBbcp8whRo8e7fdJVIsnUQioQThW3P9wEVMXvHPnzn78E8mCiYx7Ls5qFgfWXXfdSM7nOIRUtpXzh6+cP0ln71CDlLIFSWY4lLLoOGTIEH8cMCjUK6kWUY8//viidRQqWRnggjv77LO9NTlXEMFzuZ7ngq/koueCZCCavcLXEREcl+bmUrNlpvMCLa/T5jX5PY6i2eZw7RvomFV6rou2aJ+ma5822rE48sgj3UknneRriEeRjscYjJD9448/Rp7Oa8EjIhHvE0cN8+y0/mKr65XAfIIgkc+DmwdxqEuXLlURULNdqQgDLEI//fTTXjzm5zjTvusR5nK4etmPnKu4ezmW1Qy2gkIqmVW4wqkrF4XTPGwaf1yCMfsXQZj3iEPo5zMgArO4FNUxGzRokNtnn31i3/+iMhDO+/Tp46688sqCIiqQws4CCbUbk6pDWI0FxbAwDiN+Pf/8817wrFScjFpANeaaay4f5yM8ca9ifJcrNTlwJuIORgxEiI/6WopaSEUspCEkJXGSLKMRvE64FyVZUoBFWq6rYouOmUzG31uJN5IWn+Mk1bkmHCRcpoUeldwMuZhZqaq2C8MaAbRvl+rd3xjMNkebxlJMEKgdx6MlaJ85rZXoKoQQtchOO+3kHbyPR1SWhPGTiR3BXRwwRjPZJoiNi2Baf9xdkBlTEIVw2CG0JOWOISBHbCPooDkYYipBQ9JdoGsFgiuaYeDqJW0fd0hSTjWEVBYZ2CbmzZWkRobFrsc40/hJxSXwjqsbMuIKCwdRLWJQC/f222/3gaNIP5R0e+SRR9y4ceMK/h3nCNeXla5IAltQ5B4dLDmWFCyYsvhIJkUl2TxxCajB/cb8hPsz8x5cqWSAiOpqHhxjYmoWL8iGiWsxIqpmU4ylLI6yWIBomDSMLczT4hxvwy46Mt8pNs95/vnnveDKgmI9UzcqHgcLUZSv1LDgex6szMPQoUPdjTfe6Ce8nATULDrvvPNc3759q76tTc5E1PpV52sGE0Vn/DEpYcWJgsk8WlafTGTtoLRHIUTtgvPW6sFFBaIggQkOg7hS7hnb4yy9wHuQqoTzLU4Qht5++22fHkYwjEMmSeGSMgykY3fq1MnX3CPN3+ZRom0wiPiN65PUWtIRu3Xr5gX4JOtfkh6JGIGoQYo981xbrI8DgjnKX+Bojutzc/4RxK600kqxOKS55lj4CRMQhoUYA2c515JIP9TZpWTX1VdfXfRvEVG5tsgeSApbUORaTwPc/9gvOP+mTWs2mqRIQM3lSkWIRvjlQZMeES/M2cjyYdEN9ynznrizvyoVUtGNGN+5j6cho8AyMrjWkhR0WWxivA/TrO3yyy/3Tv96r7tfNyLqGWec4SeQZ555pr8A+J4HFwJw0V511VW+ThQX8XXXXecuueQS//fVxia37eRETZ6ObZ2oOWlxoioNRAhR29CR+OWXX24ZHyuFiRJuD0SPOCDFnglknE5RhBpcBwiIPOIg2EQK4Y00bAJznktSSEVEwo2HWwenA+ISJRoIctPgekoaBD2ESmrn0mQCMQPxFAEu6TQ/nGmIpriKuQY5pzjP4hJSWSjhvsE8Os66rwTd7NtyOjaHwa5xOp5HAWXBLr300khqTYvqwfFCRC22QEcMaY0Uk27shJhBaYE0QEYo9wHqAJcyhlVTQM12peKE5N7IgiG1OcsRgEVhyCBggZhsDdLP43SfRimk4lZmUYBxJ8oGVZXA3ANdi/lGUnC9hF10/PDDD92jjz6at99QPVE3Kh4dwDjI2Q/chLDVVlv5AIwJICcjLtWkumfaxLaDOnem0onKTRTBnQffz/q9nKhCiPqAdN+DDjrInX/++ZG9Jo4xUqDicuoQrOEUJZMkLpjs45agOUzUnyMooFr6MKn9iF40M0Sc4/MlCfMhggcCHhahSSFDTEU0I2iP092YRpgrEmQPHz7cOy9xrtFYFDdT0nX1LKhh4QJzgDV2sxqpcQipiA0EmOyHqMTHXHDeIQ7H5XTlOkPE4ThG9fq33nqrdy1tt912kbyeqA648BEmyU4sBmUluA8m2YyS65vzlhg26fECEFS4Trk3cL9Jq4AaBDcfjnEa3nAsGeMQx9OwP2sdFpOscSVjD3MJaoUn0XugVCGV7WWuY9dYWsRo5iDMx5Ls38B8gusjjLA8YMAA37iPBYt6RypeAmRa0vm1+1PjRJ3+h4jKZICaVjxaVihNZJUTVQhRB9C48bHHHossNRBBELcook4cYhuuNII1gp04g1gm3kygETWjSvfLJaBmN5tigkqnaCbNaQiMacKBOMdCNMeW4ILACOEuDdsYFyycEnBR04sabnxWjhsuXZxoaWi+hTMWUwBCI4JpdsphHEIqLjPOAVzhlL6I87PhYMIRHZfAwn5DSImqFirXLoHjKaeckmhZB1Heve7UU0/1LuJi93vug3HW/w4LixhkfyCupAHuiYhV48eP9+JomgXU7LqujHFkoHCvpC44JW1UF7y8eyAORPYhi480a2PcZCxKklKEVK4nG+/T0AyJcZvFEspmJNXQzraDex5lu4qNb+PGjXN33HGHO/nkk10joNE+AZpaGkslf5E2PC1O1CLp/DPUWEoIUT/gJNt3333dhRdeGNlrkupDejqO1DggjZoAMu4GULwHDZ9w3VXqTikkoBq4GgkqEcNIf6PDelpANFt99dW9AxPxDCcWgRICI4I5rsFad6jiBMZp+uKLL7phw4b5gIHjz2e2LsJpCKqA8grUZCVQpWswQkAuohZSqcnGe7OQEee+QGRBlCFgiwMWxq3DeVSf49577/Xib8+ePSN5PVFdtt12W79oREZjMTgvJ0yY0NJvIwk4bymngSiUlrR+RF3uldxr2D9pF1CzhTZEPxyTLLDQfEp1wcMvOjJ2MiegVjaCJaVl4iz1EoeQypjAMefvknR85krjxymfJNxjmCOFKa0zcOBAn41B5lgjkPySeiM7UbVinTyztU3nz8nMqa2dq0IIUeOcdNJJPnDo379/JKk3TD5xkCG4xCU8MTlDaCStP65OpWw3+wWxCidAuc6EMAKqwXyARgYElzRiQLjE+ZgWcALjiOCBEIVQTjMxhEd+h+jIg4Al6TqhxUBQRPxl+wn8KPNEiQu2n2OQtHsmH2wzDmlS9xFRiu1nE1I5j4FzqpzzmGCOABPRNs4AkxIaOMEQNOKaHxMssxjDeRrVuXTBBRe4E088MRUuZVE6XBO4iP/1r3/5MjeFjiPXFCmtLCAhGiaFpRyzoIhLPg3CD/cl0uRxrHP9cj9Nu4AaPAdomMM2I7Rxn2AewxjMAxey+ANENQRnxgXKIDFusu/SstiYT0hlYRyCael8Do435yafJU1p/Nxjkry2rakVBoli49ukSZPcDTfc4OfnjYJG/ASdqGosVYNO1A5K5xdC1AeIkDvssINfPaabZlQuTialpPbFUTcR4Yj6UAhDTNrjCsgIAknzY0LIBLtUwbYUATV7/+H+pFEHZQsQvtK24IpzlmPLA0cwzlkEybffftvXRMOFgkPSvvJ5kgquCAJwUP7444+tHjyP+4zjiuCfBhGiWJocgj6LCNRmDLs/KxVSETY5rgSgcYrLVqIgzjR+0rURaamFGBWPP/64P/d79+4d2WuK6rP77ru7f//73+7uu+92++yzT9H635Q24T6SzwleDRgrGGcQORCx0gBjMm51hFTGT+6taRdQc9UFZ1GZhUIT2BBYeZ7FtrQKhXHDWM+iI4tquBOZ11AOIQ0d7MsVUjkvra54ktdyEOYmjIVJp/ED83jmdJTqKsaVV17pr3HmvI2CRNQEUGOpFGHO0mJO1JaaqHKiCiHqB+rBISoQQEbhzkLkJMhkYsokOw5XIk4yJnVMNGkMEpfISL1SJt3UKkUIDCuGliugBh09uPFwHeJKxY2QdCOjfLDvOW94INCRfoZjEoGBYIsmXYCgaqIqYhz7FndPVO49Ajwm+wimiGWUlTDBFOcsx4/3Rjjl/OT7tInT+eaLXEuIf5wHbH+plCuksh85B3G8ReXcTCqN394DkSfKYJnmfMcee6yvsSpqF849MjNwFdMUpdC9gWONgIl4iWiQdFo/pVUQ+eK+RsPCtnA/5t7B94iRtSCg5qoLzoNMBcQ2Pg/jFmIqC4iN4k7FdYrjlAfw+RHta/GeFxRSWfxlcTJtQjDnGvucRYgk4RpmzGThttg8/pdffvEi6v333+8aCYmoCaDGUil0ogYaS+XEnKpqLCWEqCNwdSJE4kQ955xzInlNXBw4OKiVFVfKPUIYDrA40/oB4Y99RLMb9lOxQLBSATUofPF+vO/o0aP9hDrtQSiBJ2IlDysPgQjIBNtETQIxUtUQO/kd4oUJqvbAFcpr8bBFZ84n+xnXIv/fRFMe1gTSXovjZoIp+60WU62pN8fxZ/8hqrNfy6VUIZVawASaiI4IRnFSjTR+hH1cNaQ+RwXXJS5dGvSJ2ueAAw5w/fr1c48++qjP0CgE6a3UgUQgTNItxnVNzcQ0pfUDIiPXG6nxCL1pH7sKwX13jTXW8ItJjO8sDiKgsxhjZWySzLaIs9wNDxZGGUs5jmmqD16JkMqYxtyRRTvcxWmBuRHnVtJp/MB5zrEOlj7Ix3XXXefn4TQibSRqb1ZZB1hQoMZSaUrnL1YTVY2lhBD1yRlnnOF69OjhjjrqqEgCQqspiouSYIqmE7Wa1g+kVSFkISohbOZzoEQloBoIf0ym6XqLYEOwTH22Wgpi2FaODY/gZJx5ECKhiaD2QBjFhcHvTTAFRFiOOa/HV84p3CMmvCKe8qgFd2kYcMkgjPA5ERejcCKHFVJxoCDesp+5juM836qRxs95hCOagDmqkgS8JjU0jznmmFQ1URHlw32ErtKnn366b45S6F7C9YiQiuCBKJPkPZkxgWZOaUrrx8GGEIeLjYUGXItJpyZXCvdDK2PDWEVqOyLjRx995MceE1QR5WptHGLRjBR9qxPOGGCLkLVQ7qZUpyeLdsynOE+z5yZJkaY0fs4H5p2M/8XO5Z9//tk3qKUxXy3NTaNAImoCyImaxnT+P2qiMhiyEm3ft/p9B6XzCyHqC1LtNt98c+9EveKKKyJ5TQIJUvno1htXWpKl9SP4xOliA4IJXAIIUJQ/aBkbYhJQDSalBKLsTybYBMs4QtLa/KiUz4UQwaOQeIbQSt1JBPN6CuQKBS+k7+MCWWWVVfz5HWVgUkxItUAO9xF/F7cYUI00fvYlTmVEr6jAfcq2y4VaXxx22GHu0ksvdUOGDHH77rtvqPrf3JMRPtKQ1s/Yk7QAk10DlXsOqfBRj41JC+6ktfNgIQgBEvGRuQj3cI4BTlV7pG3sQgS27BDEbrYfoRsRmOZgLFDWmhAcBq5Xq4HKnIoFsFzNpho5jR/IImMBN8z1evHFF/u5yjbbbOMaDYmoiTaWaizFPpXM1taJyoR+2223zd1YSun8Qog65Nxzz/WuR5xVYYrIh4H0NxpwxJnyaGn9NH/g+7hgvEbIQyilIz0Ck7kD4xJQg+B2Il0TtxHBci26UkU49ykCPWlxcXUKziekIqC+9dZbPqjOtVBQi2n8iKcEzYhMUdVnRjShljRO1FpOUxZt4Zw/66yzvBuVZlOFrgFihWD97yRFJ0vrp/lckmn9uZpI4dxk3zBGMoYmKTjHAfcVc6Hi3EOYRJTkPsr9jdrSHJ/shovVqnNujRWDdcJ5jm1iO6jBzrnDeFPP8wnmiDyCNVBzNZtKAsTTd9991wuoSQvujJmUOmC/FDsfvvnmG3fJJZe4p556qq7PnXxIRE0ynb8OV3lqDjWWEkIIL6TsueeePrX/9ttvj8ytgYuSVFoCuziaTAXT+hFqcafGBZNE6zxsQuqkSZNiF1ANJteka/I+BMs4oPjscZRLEMm4T7lelltuudgDkmwhlSAa1zjBPwJq3E1TrN6r1ayNC/Yr9wQEjqi44447fHkPXIui/sCBiruKOn+UuCkEtZ9xbSGWcd0miaX1cx0zLqRBQDXISiHmZexEwIvaYZ8W+Ezcb4LzEErUBF2fJqwiogbL0QTrgttz7DMevK6VtkHkIt2eB88Fa4Nnl8bhK/daBFIEU9yXnKcIuUmLddWC/YRASRMpzs3sxoJJC6lsH/M53jdpF7mNmZwniOvFOPvss123bt28MN2ISERNgKbmdP4OSudPUU3UP9L5GXCYJMM+++wza6CZaY2lJKIKIeqT/v37exHnxBNPjKy2GimPNBOKs8kUAQvbTcrgpptuGqsAREBDuhvvRZ1SUvz5uZppiky0EaUJDHCl4viVK7W23acE1Jy7lTSPKldIff755/12EJwjoMbddRkjAQsPvH+cafwIFjS24VqJ6tpAmGChCbdi3E5dkQwszJ133nmuT58+rnfv3gWvScYDmg6NGTPGOyyT7Nhu2RKjRo3yQl3cDeHCCqgGCxn8nrGTOoq4NuNYWE0b3CcYs4MCGfda3IfZAiiLMwisPM/DTFdBaGgWPObZQiyCKQKYPcd9tlEE02zYzybck/GQrwxSkkIq2UUc6zSk8SP0M2aGaRD16aefuptuusmP5Y2KRNQEkBM13U5UbrpMnIB0Hj/4WDq/aqIKIeoU6nvhrjrttNMiq/XHOBd3kynAXUFgRoCGMBRncMZnYpLN5NwClmrDuESKMg4fc6XWQ63URnKfmvBQLfdpLrgeCe5Z6OCcjltAtaCRmquIxnF9ZmsmxX6N8pq49tprvajGAruoX2gsxaIfqapnnnlmwb81gYxFLTISkoTrGTGG8ZbztBpjUxgB1SCNmuuecZpsDkoIJSk8J4XVAw9zH8OpyFdiU9KmaQLK/+XeqYXT/FgzUOZoNAQtJiQnIaSSfcLYyzWRtNAdHDPDlBI6/fTT3V577eUX8RsVqXhJiqi6+SXPbM0Bw/Q/nKg5kRNVCNEAIKDiTMNlGRWkBuHSod5iLmdFFBBMmHs2zvexGqi4B3GgItAQDBLgJIG5Upn0PvPMM34SjKtBpBMCYhwcuIlwShI84cZMIhi2oIkUfgQQSlOQChzntYPLhcCRYDXOoBHnO1lFUTaTYpGG5nvnn39+QzjoGhmuRzpOk9ZPTe8w5XAYF3B0Jw3jrbljcTumRUA1WKjB8Y7gi2sW95vIfx5yr6H+rt0v+dlS/EX+Wp3MYVlkLmWsMSGVOSRjVdw1wd9++22/kJCGxW/EXBy7YcZMFu4ffPBB169fP9fISEStMkxO+QftlM6fonT+YjVR1VhKCFH/4Fwhnf/kk0+OVEwhyESEYKIWFwQXuHAQhRBR4iDYRAphmPcjKKS2ZFLipdVKRZAjFRC3CsEtIpJIB1xL1GSj0RqiA8cLIaGa6fvZ20MgZDVQCR5xcHN+xyWkIhoTnLL4EOfnxoHE+U9qM+JDVAwcONC7hts0HhV1CdcDC1QI58VgDKC+L4sSLJSkIauE8QlXXVzjQDkCanCspr44tVFZtB0/fnws2ygaC8YtmiKxgMAYi0uyVLG5GkIq8zTc2Gwf75c0mADIEGGeHmbMpLHiYYcd5mtCNzJS8apMU+aPwVVO1DSl8xcJfk1kVTq/EKLOOfbYY/3k0WpDR5l+jkBDHdG4IDUQYZMADzdCXAKq1UC1GqmIQgSDrOQnBYEsk3+K/COO4XZETLaGFCKZoI7z8Nlnn/VBCkILwgznT1JOIkQemjrhhEEoshIbViM1DiHVgkZEyDibZ7DNuMQRkXDkRQViEa7Eiy66SA6wBuKCCy5wN9xwg0/VLwZpsFxb1CNNAwgi1MTkWo96UaQSAdXgOsL1xvjJgg4NbeJ0wYv6hnkO5zpzHsYxykeVS5xCKqV8WNygRnA16xYXgmuPhlthavs/+uijfvtPO+001+hIRK0yTYEBor2cqDXoRG282j1CiMYCMYVacDhS6SobFYsuumhLDc84gyUaTSHYUrMUV1pcAqqBkMrzvO9zzz3nHbdJgniEuxAnHqnTpPkTCChArS6IlDiUOW+or7bFFlt450aSIhyuNMRMrmsCzewaqHEIqQS3vCeBadwdzAmgcdWsssoqkS8s9ezZ062//vqRvq5INzjFjjjiCHfkkUcWvRasyRQCY5KLacHtIVXYnNlpElCDICZRsxI3KvcJZVCIUuF6Y6ylfAUZOczFKiUOIdUyQHBi0ysgDQty1kyKe1ex7WEx9KijjvIlbRaKcJGyVpGKV2WCaR4d1FgqPU7U6VNC1kRVOr8Qov6hqR4BZNQ1j3DHENQh7sUJLgRW+Vkxr7ReaSEBNbszMmIZQurEiRNdkrA9BKe4HnE/4jTADUkDKomp8Qcl1jiFQKN79+6+7mnSdTRp5kSdOI4/Inu+hi5RCqkWNFrN4jiDxrjS+IcNG+avHVyJovGgsdSHH37o7rrrrqJ/G2wylQZoQERmBnWYo0iZj1pANXgtuqfj0mP8jHLxVtQ3ZN1QW5e68IxbUTYqi1pI/fjjj/3iKtdkGpqLW110ymqEaSY1YMAA3xzuwAMPrMr2pZ3kj2CDISdqDTpROWaW7q/GUkKIBgCxY9CgQb4bNcXvo07rJ8iMM60fcKMxMUQALbdOXRgBNbjPSFc2F+xHH32UuGDJNuF+NBckx9LS/OX4iQ7OLwRqSjrwIJDr1q2bPweT7roLNMdBQMUNTlBYrDN0VEIq5xkNqwga4xSRLY1/6aWXjtQhg8Opb9++vi5mGmrXiepDqRZKORx//PGhMhtYKKSEB9dOGkCgZPzi+qikiVNcAqrBPYlSNIyzCKkI12moLyvSCYI74iYL5SuuuKJfPItjjIlKSOV+wJyQ16LMRhqwzA32XzFYiEFEveqqqxJfEE4LUvGqTCZQEzUNNu6GJ0dNVG5u99xzj3/4G13TDOfsuHWQE1UI0RggACEgkM4YpRhYrbR+xliCR1KQqEcZp4AahIYeOP0IOPn/TPaThkkvqdS4InEY40p68sknvQshqpIHjQjNxGhkgTCN2Mi5veWWW/pUvSgdMeXC9UWghDMWcYdHWAdMpUIqQhLCCwJq3PuCY0AwyCJGlCCeIRgdeuihkb6uqC322msvLzT079+/6N9SIoPrDNGl0iyIqCArge3nPlBOqYG4BVSDexPzDu47jFEs/CRdHkekDxbmRo4c6bMryLYh6yhOTaVSIZVzmHqtNFObf/75XRooNXPjmGOOcXvvvbffD2IWElETcqLSVEoiaopEVEvX56mOHX0qKw9/Ywk2nVJNVCFEA3H66ad7EWbIkCGRvi5BJvWrED/iBBcgk74vv/zSP+IWUA2K9JOeiICLM5GvaYAgFZGXbSNQxY1KqjLOH/ZPGgTftIOYSAohbuPhw4f70g2czzhPaZRSzOVZLahFykIFKYSIH+V00i1XSCVAY//gyo6iPl0hfvjhB+9aI0CNMo0f0Yjab3LeCMvM4FwIk6pPWRfGgCizOCqFexMubTqXl9JssFoCahDuGdS2pDQCQqpcqQKYn7Dw+/LLL/tFYc5JxqhqUK6QykIrblm2F/NAGig1c4NmUsxjGQ/FH0hErTIzm2YNXO2Uyp8OzFk6s0BaY0BgVTq/EKLRUhlpMnXCCSdE6ghB3KQrL8ERNaLihEk2DTaYfH/33XexC6gG7jsm+TgPqNkV9+csJ1DlM/bo0cNP7hG0cacSJOD0UNDaOuhAGOR8HTFihBcIcZx17drVu47Zf2mocRYM3KjJSm1BxAjqmJVLqUKqBY24gyrpkBwGFgE4FtT9reQz5msmteeee/oUYyFYKDn88MNDNZmyGsBpSutnm1jU4L7OWBhmQSQJAdVg4YKsCblSRdB9yjmA+5Q6ntU2o5UqpHKtMT4xB2SMSguWuRGmASPO9aOPPtqdd955buGFF67K9tUK6ZnxNZgTVU2lUkKHZtcC6frNAjcrXffee69/eFfOjOZ0nPYdZj2EEKKB2GOPPXwwc8YZZ0Qu4jGJY5IZd9ojk1+6j+JgwLkWt4AaDAQJXEmlRNQqxQ1bLXBO4pIgMEEwIrjGrfTEE0/4fUEA24j1UwmACNwQDhFOcexy7nDOIjyvttpqfpEhbSCcItoj8iLw8rVSwgqpXMcvvfSSd+GFCdAqwZpWUfeYxl1R8vjjj6uZlMjZZAph8c477yz6t1x3jDlpSutnPKK8Bk56HLWFhNQkBdRCrlTqSmqBr3Hdp4xD1XKfViKkmoDK3IksibRkH9tiMNsUJsOCMZDx/KCDDqrK9tUS0eW9iJJqoqqpVEpoH2j4gBu1fQfvokA0AOqtdLR0/g5yoQohGg8mf6QxIixS5oRJbFTgJkCoIrWI4C7OieZSSy3l0xgRefgM2bWpohZQDT6TdT9lUo2TAlE6Tc5F207cfDxwUSEYkqrOhJv9gguB2no85p57blePEPDQhInPjYuMY0SdUwRTgqco08XjAMGbawnRnvTdKK8nE1JfeOGFFmde8PXZd1xbiEfVCBoReHB34waO8r0QoQ855BAfPCLcCGEgJl5xxRXusMMO8836uDcUAic2DecQgci8SANcnwijpOciouRa7EiLgJrtSmVcprYkYzW1HNOwbSI+bG7IOcsib5LiaS4hlYwLK98RhMUJzlNKVjFmpmXegLDLdpHGHyZzg/sWzaRYvFBJm7ak46g2aE1UkQKCjaJmTnNuthw1T01E7ZiOOmdCCFFtaNhCU43evXt791dUIhriB8EQaVqfffaZFxvjhNdHSMUVyuTWgrC4BNQgCDLUIqW5B+IPnzuNTsZsQZXglWAAYdGciGw3AgK/x6WQhiZK5YDwh2hG12pEU8o92Gdbf/31vQsqLQ6SYp8DZxkiapzncD4hFbcQTiFczYhFcS8QcMz4vByjqDsdH3fccf5+d/DBB0f6uqI+YCGRTDVS+++7776C9wdL63/mmWe8mJqWmogs6HEdI6RyrQZTjdMmoAbhfsyiCQt7uO0RqblWo3Dbi/TAQvP777/vHdOI/Emk7pcrpFq9UcYoMkHSUiPd0vgZq8NkiTCn6NWrly9rk5YFoLQhEbXKNDU7UVUTNSV0CDhRm6YXromqplJCiAaGydQDDzzg/v3vf/s6qVFhwgsuNhPl4gSHHivyJqSScRC3gBoMXhFSCVQJAgkASVFLW4CQSzxjO3kwuUZwxLGJkMX+Q8jiuPHA4WvCapo+V1Aw5cH3bDvbyfbisKX0QlrcLmHhOLCwwXbj1onbJZwtpHIOszCAGIObPG7HCseRchNcx1HXaBs2bJgXyFgoSNO5K9IFmRm40++++27Xs2fPgn/L/QUhlWuU+0xaXPwsFiGUch1zzVISI80CarYrlcwStpdSKzjrcN+nSbASpfPbb7/5Y8piIMe0e/fukS+SxSmkIurj3mSRnDEyTdvONlEKg2s7zBhNEynG2qjLeNUTElGrjJyoKYMapwjaiNv5mkspnV8IIfzE65ZbbvGpurvssotfZY8KOoQSBCGOUP8s7mCI98KRSld6viLixi2gGqR24eDj/XAsWGoiAmstQFMwggVrGoSzIShO4rii7pYJq4iqCAeICTx4nkfUIhUOELaFRgj2+P33372rhe3CTWuCKQ+cI2xbLbtoEbHHjRvnBR2CzmoJfyak4mTj/MUJRj3duAVUq4PK+3ENRwnnCHXfBg4c6JZccslIX1vUF4gnV199tTv00EP9wkWxtP6//vWv3lXHYh3XTVpKuXD/Q1RhQZHt4z6eZgE1+x7Ewifb/N5777mnnnrKC8Es9KUlfVqEgzJ6CHwI+Li1KZWRlsWGsEIqmRiMxSzMRlWLPCqoyUwpKRY8w6TxU++VcjbMj9MkBKcN3WWqTFNz86K0DKCi2Y2KUJpXRG0uCK90fiFEg0Pa31lnneXT+ploRTnRxVmGkIGQiiAT5ziJ2ISQhuhGwJWEgIlwTGoiaWs0sakVV2o27D8+Cw8jKKzyFRcEgRLCJuIfn5HJeVBY5SsCLb/jwfG3BiI0cLCfEdIQvu31gg9+j5AXfE0EAQRTjne9BARB9+nmm2+eSMDJvuR9qZ2LiFSNmmkE2rwfCy1RXyfHH3+8F6MPPPDASF9X1Ce77babdy1TH/X+++8vej7SZIrsA5x2OCnTAvdFFvRoesgYXAsCarYQzHyB+pmIqZQFYp6CU1WxdrphnvDJJ5/4NHPmD2TpZNeqrwXIiGAMZEGRMSRNAqotPHJdM78Mm8ZPWRsWKUR+JKIm5ETtoHT+dNVFLSSitqTz10fwJYQQlXDMMcf4tP5//etf7tJLL43sdQlCcbmy+k067ZprrunigskuBfZxoCL0kdKYhAMHAZLgGvdFLbpSSxFWDQRQBM9sEZRUPoIqJv08EERNRGW/EBDz4DxBsEPEo0ZeUIzlwXvXmhAdFgIchAJE5Wq7T7O3gxRG3htBk++5ZrObTUUJ58DHH3/sNt5448jFcNL4qW/59ttv1+25I6Jn0KBB/jq866673F577VXwb7lnrbPOOl5IRXRJS9MyRF3KszD2cv6TBYKjs9Zgn3Jv4D7BwiTiHLUfGVt1TacLxnVcpyyKsRBHbetcc4VagLkKKfwsFnMNYS5gfMpuNpUULCqw8Bi2ASNp/MzRTj/99KpsXy0jEbXKWECgmqgpon3zZVAsnV8iqhBCtKT1I/aR1k/gEhUIYKRGEWgiaCISRU12EykefCaEVBwtcddkDeNKTWszhShgX+OgDFN7FLHu8ccf97U2cak2MqTbIrRb7dOkardyTKhfzLXKceFrrmZTUUJJBhY9CFKjdiopjV9Uksp7zTXX+CZkXJPUVS5Wh5TFQcYf7vdJO9aya6CyfVzbiCjBZlO1AvcdRFOOAwtNLOyw8IIDj+fVYTxZGDs4LgjcHAtqBXOsanWeY02kyLSxFH4WcrObTSUFYxuLrmEbMFoaP2V66iVrJ04koiZVE7V9bd4w6rq5VHNjKVZhEQjse9VEFUKI1lCP8Oyzz/ZpP4gbUQobOBNw7FBjCkdmlM1jsgVUYAJPwIjLkdpwCKk4HKuNuVLZLtKvqC1aD65UUR/uU6utxjVCoMg1aqJEdrOpKIVUHMsEpSaERB0EH3nkkX57+/TpE+lri8Zg11139Wn9lIEYOnRo0fMeYYUFEcZNxMukruVcTaRYQOQ65hpHSGUxrxYFLsZy0vmp2/3FF1+4Dz/80NeP5t7Jo1brYNcq1CP/9NNPfckI5jOcV9QJrsVzK2iK4xrGgYqAaudUdrOppIRU5g3UQQ3bgJH68fvtt5874YQT/GKlKI7skFUmQwMj31hKuz5V6fwwc1btU9wuCAM8vPNFTlQhhMiZ1k/aHy4cxIgoYdKHsEF9VNK84xJQgzDZREwlgPzuu+9cUvDZcSkR0I4cOdKnipHuLhoLRAwcO08//bRvVoHTbZlllkks8OQcRCRlkQMHarary4RUrjMcYFHcEwhUCQRZpInDGTd48GA3fPhwv3BeywG9SBbcqJzzYcrbcJ7hwEO0QNxLi4Bq8DPXMYs2CI9Rj+3VhHsUGR00KmJBkrRmGlAhfuEerOXPlnbYt9TuRkx85pln/GIYC9SUf0HcruX7rY1LNNAMCqiGCak4O7mOktj3vHcpDRipgYrArTT+8MiJWmVmNqfzt6/hm0fDpfM3i6tqLCWEEK3dHrfddpvr3Lmzu+GGG7yYGiU4RljlZxLORLWSdO5iAqqB243Ai5RG0i6TSu81Vyr7gBR/hDS2DdG60dPa6x0CILr8InRwHhD807QiyaCTtMBXX33Vl51ge/I1bInSkcp+oEYj7lcC0qg/P+7evn37+vrOhe4JQhSDzAXqotLkjbGKRYZCWCmM0aNHe9Eyaod1uQKqQVo/n4PrmMUTxvha7njPvYN7KA+EL1yRjPGITDhWcQv6zENRMSwO4DjFAYzYyByKuVTSpSuiAjGYxX0WORnr8p03STpSWXzFCBC2AeM999zj7r77bl+aQPPL8NTuHbFGaWp2oqomaoowcXTmDP+FxhZPPvmk/75Hjx6u44xmB5DS+YUQohUEJXfccYfbfvvtvcsA4S9KeD3S+hFwqOtUTk2zsAKqgXCJ2w6nAbUY6aScVJdfglmCbVwziD4EvzgL2EbVd6svEA1p8IJoTioeKY9pcOyMHz/eB1ecd7i1i21PVEIqTUe4dunYHLWAg7t9jz32cEcddZTbcsstI31t0ZgwPvXv39/tueee/nopVlsbAZO0Wf4WB1g1mhqGEVCD1zHXHoIRNRIRhOpBCGNMxQlMaRRK5iD2MbYiZCN0kQmS1HhfqxA3U6IC8ZQxDAGR+z71TutpX9qiPosmLCYWG5eSEFLZ/1znjMFhylYguFIT/NZbb/ULCiI8ElETqonaoY5uKjVP+9laOU5ZZdpuu+3896TQdVQ6vxBC5AX3DXWUECUQHqNseMMEHBERQYYUvC5dupQkyJQqoBp0TiaAZPKLkMr7JulUWXDBBf2kmPQ4Aj4mviuvvLKflCctsonKMZEcl1RaRHJEXYIxXFulXj+VCqkIG5zjuOFY0Iiao48+2otcZ511VuSvLRqX448/3pdgQZTA3VXsnEe445pnnGG8ibOZSykCqoEIw99TUoZmj4zFjEX1AAIYLkkejPHcc5hj4DBkcRgBkHmAHKr5HacIdhMnTvQCKgI7i34sfMdxz04aBHfODxYSGaPDjmfVFFK5lzAHxzkepq4/egeLPpQv3GmnnWLbrnpFSl5iNVEV9KS1sVQbZlg6v0RUIYTIxRlnnOEDD5q0xBHs4PLBBUB6b9g6ZuUKqAbuIAJbhFzSLpmgpiElkXqpuBSpp0fAzudUbbfahOCd4Io6vDigunXr1lJSImlnEQ40ygpsvPHGZV0/5dZI5e+5zhFs4nDn3XnnnT6Fn6+1nKIs0gdjBY4urudrr7021P9BkEHQ53oj/TktAqrBvQhRhu3kc+E2rDfYJ4h/ZB+yj7h3ffzxx+6JJ57wC0Es6GCqaWS4fzMHY96BoE5tWep9UuKFOQl1Z1nYrTcBlc/NZ8YxjnOc2tylLlxXo0YqZW+YS1A3HTE7DKeccor/fAMGDIhlm+odzR4ScqKqsVQKRdS8NVHlRBVCiGKBFmn9BFv/7//9P9/lM0pw6BDcIGbijilWLL9SAdWgPhSTX1KseW8cqQiZScIEHjcD3W0JjJmYjx071gcwCHFypqYfAnLS1UmVJ4UO8TQtHaNJdScYw4FFTbVKnFilOlKp42bXbZiOwqWCMHLIIYe422+/PbGuyaK+QTAZMmSI22abbXyJG8bEQnA9kBpMyjyLB6Sap0VADW4jDZpYWExDmZu44HPi4OPBQiX3QpyWOC5pssX9DIcqDxy59T7W4srlnsw+4IFQhzsXoY55UJzO6TTAYiLiKTXBWUysZFEvTkeqNbqiVAXnbRgeeeQRd/PNN/vxtt6PY1xIRK0yqoma5nT+Ik7UDkrpEEKIfCDq4cIhPQixMexkLiw4HAhKCTaZ9OWr3xSVgGoQKBEwMoHGLYRYiVsw6QCKAJbAlsk4KddsGyl1PIcTIWk3o2gNjg/SHjlWfCWVl1IYUZa/qJRJkyb584hrGcEzCpEkrJBqrlx+H0ejJ9JPuTf16dPH7bDDDpG/vhAGiw8nn3yyP9+4noqJL9ZoCocff4tIlRYBNV+ZGzIzGOfruRENcw7GUx7Uqea+jZhIjXaEKxzE888/v//Kg3td0vOCcuHzcExxmyIa8uCezPFFNEbcZ2GrUeYVtpjI54+q1EZcQiqlgGgAh9Ab5vyjdEXv3r3ddddd55uVivKQiFplZjanaiidP0WYONpcE7UN1lhKTlQhhCgI7hvqDSJSEGiEqctUCgQsTEJpNoVDLltsiVpADYIwSZDE5yK4IKhIQ0DBJJ8UM4Rd0q9JPWRSjchMMF4PzUBq3c3CcUE8pQYZ9U45d9J2XBBbSLtHxGQbo6SYkErASrdszuGo39sE7AMPPNDv8wsuuCDy1xcim3/9618+/X3vvfd2Dz/8cNGxAsEOIZXrgOsFwTJNAmp2mRvGWURfxmMccPUO4ywLXzwstd0ER8Zc5gQsOgVFVb5nf6VNWDXB1MRS+yxsp20/cwe+59imbfvjBvct8zyONWUeonRcRy2kco1TYoOFmzALGmTBMD/v2bOnf4jykYiaUE1UNZZKER06FknnlxNVCCHCQrMW0hJx4Tz++OOR1x3EDYFIShC3zjrrtKTXxymgGojCTFaZYCMIEfSmJQ2b/YwAhXiKoxDR7umnn/b7h+eZvDdaMJQk1qyEGmiIdwiEaXQIE1BzvdI4g9rDcaTRFxJScYjyHNdssTId5ULNN8pxkPKo1EVRDbjO77rrLi+Y/Pvf/3bnn39+0f9DfUkWWHCvIn6WuwgZl4CaXeaGxTquK8bhSkXfWoL7lgmllhGTLUyasGrCJCI5cwXuP3y1Bz9H6eZF4MU1izORRTu+2oOfJ0+e3LJdJvQimPJ9GgXfasOYzXi42mqrReYIj0tIZcxm4ZMMrTAZLZyjNJHiPnPZZZeV9Z7iDySiVhnVRE0hJo42zcj9+5nNz0tEFUKIorBqT81BJnYnnHBCLJM1BBfqyBFsImRSuytuAdUg8EEMevPNN1s6FkftuK0EgiAm6TwImKzrMMeFgI9uxGlzQdaT65Q6p+xznD04WQiW0lo/j6AaYZFadywOxN0UJFtIRVjGrYcAg+Mnjn306KOPurPPPtuLPUnXMxaNBcIUtQdZnOD8xpVaDAQVrkeyLUjPRdhKk4BqcK0iNPEeLCqmpcxNUpgLlUe2sMpYwGIR99vvv/++lajJ3yC4B4VVRFX2I6/JVx7WmI8mR/Yz/5evvE5QMA2+ZlC0ZdtIzU+rQzZJ2GfUvSVrhDGb+VOcVCqkslDOvI45L6JoGBgH+T/Mm+u5DEe1kIiaWE1U3bjS11hqluOUFNFBgwa1fO+amh2q7XW5CCFEGEgBI3jEoULwSB3CqKFuIwGETUKpzxa3gGoQoNCpFbcJgtAKK6zgH2lrtIFoRT1XAlxquSHuEYQhWiHwNUJziLhBwCegwQmNgIoQSRCNcFJJU6a44XxgIQCBl2CuWp3qTUiltjEuXa7ZNddcM5Z5MU65ffbZxzfQ4HoVotpQagVH6q677urHCMbEYiBGIoaR2o+QGjbboVoCahDEHwQ5hFQEQpy0GlPaCqvFXKNBYRUR3YQ9E0pZoAP+nvkH90v7yj01WzDlfi6tIRykuNNAin1LqYpq1SkvV0hFlOf/MLcOO+e9//773cCBA/2iZVjRVRRGqlCVaWpqdqKmLNBqaNq3TudndeaII4744/eW5m9iqxBCpBgm3TYJTxJEugceeMAdeuihvslUHCKGOS4IFvieIKSakJ6NYPz+++/7Dr4IlqU6h6oFYhkPHDEIaFYDk2CbFG4m9AiAaQq8CGoIBjmuiJVpgeuLJiPUTvv222+9WIrDB/c1ruQ07cNc2066IucAQRiBW7W3lzkwDxME4gBBh9pvRx11lNtjjz1ieQ+RbtIyFuLyvuiii3xscd9994VKfaeZEfc9xBLGzmLOMcq3sIjDYiL3o2qOhWQ2cO9jgY7sDIRjub7Dw/HiUUj45l7JPZtGQMXOBcbKao+XbFPaStUUA3Ga64b5Gxk6zN+qtZhYrpBq9cM5D/I1V83mrbfe8mn8d9xxhy+jI6JBImpCTlQ1lkpjY6k8NVEtzb99bQ0OQojGg4Dxs88+88FjGiBYvPXWW32NsI8//jjSCSpBAp+XyS+TYUTMH374IZGJPJ8TpwgF/vmMteACYfKOeMp+JOBGVDVxi31oqYRJwnFFnMSxmPS2cE1ZcMr37B8cP4gdOMdqwX1l7lPSjDfffPNEyjoQBOLe5vwjEMQZw7HNbjZVCVyLCKe8Zv/+/SN5TVFbpG0s7Nq1qz8fx44d651vYc51rk/uxfwf7i/5/g8CG+c8C5cs7vBIAhYQuSeyuMRYjDCY9H27XkjTWJgPxhW2Ma3bF4RrkLGQReU4a4FHKaTiUma85DoPWz+cRV4WE0899VT/VUSHRNQqY4O5aqKmMZ1/lohKgPTcc8/570mj6WAiqpyoQoiUT7JJKSboYhKWlowHtosC+ExWETyjEDkJkBH+CNgsZTrXc9WGQJZtIIhgO2rJmWGphYyBljrI9psonMT5xJyJYIfgvNrvbymUPEw4ZX/guLH9wXOc24iTnNtpDR65NnAdc39Iyn0K1Oi1GqiWwp+r2VSlx+3YY4/1iyoPPvhgau6DonqkdSzEOYawyz2ELIYw5zqfhYUH/hZRNfv/MN5w3yaLIC3jjWWFcN9E/E1zWZNaIcmxMOw5imAH1SqrFIX7FAG12u7TcoRUrnHqJFMaImz9cETX3XbbzbvEEVFFtCR/1jRqY6mU3QAbmqyaqAz8m222mf+eAWsec6i2l4gqhEgviD1MZFmljrtBTKnQ5RQnKumGuM8qGQMRhAgocD0EgzOrBWYBZ1LOQOppWW0zgtpCDqK0Yc5EAg0CYCbuPNjn5lA1YdXKKFQjHZfjGue8yT5v9sPOIxNOc31egh+EVK6/NDZrQOAlnY9U0aTcp4AbnSAQ8YiGNLYvs5tNVSqkkjZ97733+pRHSm2IxiPNYyF1UaldiluTayEM3IOIR7gfBkuusDDJ95RpSYuAanCfYexgG7mX8rNi3/SPheVi4wpCKotkaTsfbRGP2qdpcJ+WIqRyP+M55heU9ggzPnLN7bvvvn4eSk3wWpmD1hISURNL50/fDdA1uohqjtO86fy6XIQQ6cVqYKXR9cGkH/GUmmmkjSOqljOpI4ggOCaQzPU5LX2QyTLCWBICpjmGmPCyrWlzCYX9DOZA5bMQwJkjk69MzNm/QWHVHmkM8MIIpmCfgfMmbEkDOw95jTSJqJx31D7FkYcwmaRTlvRiGs+Qgsh9IHs7ohJSBw8e7M4991xfl5F7jGhM0jwWsk1cBwip3C/C1A7lPoQDESHVxj8W6hgPeT6NYwvXL5+VMQTRii71jCVpPCYiGmzBIs5a1+WO+TjAaTSYJvdpGCEVVy/fcz2tu+66ofYrn/foo4/24z8NHNO2kFQvpPMMagQnqlYEaqcmaktjKV0uQoj0k9YVZyZ/5sIZN25c6HTGsAKqQWBKYImQiviXKwWyGjBJxwlHsEsAad1z03p8igXx2fvcaoRaynu2sGoCpNVZte/j/vxsA49gZ2P7mi2YcoxKEUxzkcbjSSo79d6Sdp8C7nPcP6TvE8Dmo1Ih9bHHHnNHHnmkGzp0qOvcuXMk2y5qmzRem8BYwFjIoiL3oDDdsoNCqrlS0yqgZm83Y7a5UvkqV2p9ksbrLeg+RZxEpEw7JqSSuUEGF3OvUoRfFhIpZUPpnLS5besJqUJVJiMnavpo3zqdvw1NzR0OVRNVCCEqAoHThFS+pwlBlAKqwWTThFT7f0lTUFvUAABmWUlEQVRM8OvBlZoPE0eD7svs5kt8DYqY2f83KKza8cl1nKxGKwRfJ1skDb6PvWbwfSoVTNNOmtynQO053D90DA9zrZcrpJK637NnT+9EtXJMQqQZznUa0n3yySd+vKLWYTG4b/G3jIfcd2tFiJQrVSTpPiUtPs3u01z8+c9/9ovwP/30k+vUqVPobb/hhhvcwIEDfW8XajCL+Kids6lOmNncWKoeJ+81izlMm/I4Ue15pfMLIUQkLhzSGc2FU2ylvFQB1UAsMyGVB/8/qaAz25XK54i7thn7bdVVV3W33Xab23DDDV0Swuopp5zi9/2VV17ZyiGa/TUofgZFUvsel6sRnD+ZGMr7ZbteG2mehVhNwIhrhVrBSbtPOW4slLBNnHvUbAxLqUIqQfJ2223nLrzwQt9EQ4haAeEUoQMhdaWVVvLnfiHMycnf8X2SC4RRuFIZo7hPxb2omMRYmE1wLBTxQr1hxgXmW7XiPg1iNVCZN7L9r732WkuTvEI89NBDvqnisGHD/Lgp4qU2lrDqCNVETXE6/4wi6fxqLCWEEJFAIIUL58svv/QNZ4oJqEcddVRLKnzwMXbs2FApkEAKpKVyJ4G5UhFTEZl+/vlnH0giIMbBtdde6+tCZgeNI0eO9KITgQVCLsdhzz33dKNHj275m2effdZvb65js/TSS7vLLrss1DaccMIJ7tZbb/WORBM5CQwQPTmevD/nAqIAx4kH+8ceduz4ffA5e/B/2afWAZrXrleXaS44j7iGRowY4b766ivfdALHTZICKtfYG2+84bdn4403LklAzRZScdS+8847rYT1ILxHjx493BFHHOEOP/zwCLZeiOpCKv9f//pXvwCC6JMPEx0ZC7nXIcBap/YwY2HaXKncy9l2FhURF+Mcm9M2Fop4YE5FCjwPmluRlVBrAioLDGw/MJaTwYGQSnNIxrt8cM7SSOqOO+7w466IHyl5CdVE7VAjKRiN1VgqnxO1eWBvX/vpl0IIkRao10gQQlBBIFXIgUqwtdVWW3lRJfjI1TyG/xeEAAhRBoENITWYGp4EOApMNCRw5LMTPOcTisqB1xo0aJDr06dPq+evvvpqt8UWW/jA/e677/ZuYGpnEVziYIgaXMaIXNdcc03kr93IcHw5/xEBOIa4rLp27eqb1CQpICP00MgCUWSTTTbxQkm5FBNSaVbFPWHrrbd2/fv3j2DrhUgGrlvulR999FGb8SsooDJmcH3bWEi9Yf4PAipjaTa5XittrlS7RzAOxrGoqLGw/mGeyMIdDQUZN7p16+ad3bWUvm8ZN9Qx5dpAOLXttxqp+YRUar7uuOOOXtDnq6gOUvKqjGqiplhEbXac4pAZMGCAf/iURBNXVRNVCCEiBZcaKUq4cBA4C6Xw4zZkVT74QJBEPKKhzDHHHNMSqADCCwILgSd/e8ghh7Q05WCyitCz//77+9/TAZU6UrwWr2MQsJIiFYR0aWovGkxq99hjD/88n4dJ7Oeff97y+169ermddtrJXXzxxf59CNpwzhHcMeHnM7JNBG402+Jz0sH8pptu8n/D9/zfIDQNKuQ+ev31132K6LbbbtvyHI5FPhsPHDGkfJNKSsMfOrmSMlYq7IdsdzCPfv36tfzN9ttv7+66666SX1vkT1VEqCSgQjhBCCi1SVsc/PDDD94NgyiC+Imzq1LyCamTJk3yn5uURcSQpD+7EJWCG5WFRcS8oPgZFFAt7d3GwiWWWMK7J3Hd8XdhxkIE2/32289fQ0aSY6E5a21RkcWR448/3s8LNBaKQjCPowY4mRjAmLDGGmv486bW4BqkjiljXlBANfIJqfyMaHzaaae5Aw88MIEtb1yk5CXkRNWEL42NpWaJpQzmJ554on/44F3p/EIIERtMDhGBEFKZSJZTA5VAiL+ljiKpe6TeERittdZaPiB64oknfMdygkcmqTg/ES1xLjz88MNu+PDhPm0PN0OpqVcEqghHTIB5f4JBnELBQBjHIIEcX9lWAi4LulisQ1R94IEHfF3HV1991Ttn2E5+/89//tPdcsstrd6Xn3H6EVTmgm2h7mzQCXj//ff77T3ppJNy/p9y5iWkPgadwXfeeaef/CN8Geuuu64bN25cq2BaVJ6qSMC47LLLpqK5DEEd5z6CDtdclDUOs4VUROTu3bv78/v222+vObeREPnuvwh53LPNkZpLQM1Xsob/jwgZdixE7DSId5IeC60ZJCLwPffc484//3wvkPIZ7PNpLBRANhGLDU8//bSfM2666aa+lA1zxlqE5lGcp4zra6+9dt5rPVtIZTxEQKVUBNewqC6aeVQZS1NIw6RXhE3nb079VGMpIYSIBSaPOE0IHnHX0Jk0W0B99NFHW2pkAs6ae++913+/wgor+OwB45xzzvFB43nnndfy3M033+zdLTS7wY1DAHfjjTf6ulmMyfyMmFsKpAEyrvM6FngR1OHEIRDdcsst/XN8HoRRJscrr7yyd8XgnjjooIP8ZyZofOqpp7wwRsCJw5BtItDDvXPGGWd4cZUgjOeGDBnSxpET5IsvvvD7MQjvg9Mp2CWdYPKAAw5o1eUcJ4eRa38gcBvU3rT6mwTGiMHsc0Quw7aDbcqVcioKw/5+//333YQJE/z+47xOi9OGa5YGHogC66yzjr+u4sCEVASgvfbay1/viBTWwEyIehJSuZ4Qibh3MpZkiyq5xkLGEP4/CysIkPZ/Co2FNt7i9GRBgvEHkhwL77vvPi/kIoyx2IlDF1c79xqNhY0N5xfXBsePMYGaobiZaxkc4TSRYkzjUUzANyGVue+ZZ57pndynnnpq1bZX/IFUoSozsyWdX07U1DWWmjmtVVMEYGWrw8xmEbWDLhchhIgLE2AQiwgQs0VUxM5gPbFgJ2NW74OwUo/TJRhoGgQ45vBB+CGVHgcD6YfU0SoF3oc0wuzajwR/vI+x2mqrtQqESWUkDQ1w2/A7gkYm0NYkyUoOEOxts802PvAlcBw6dKj/3e677553u/h8udKpsyfoOId4f2rrkb6Z3dwDd0T2Z+PvcjkpaNBBQJztiLDAMhhwiuJwDuHOJmhESEDgSJPThnOQuVIU9U/D7o+zzz7b10FGsJGAKuoR7tEIbCz24WjkusoWUXONhda4j7iFMc3qgIcdCxFmjKTHQsYYrm8e5sjlfoOAxBijsbCxQEDnuLCYyPnRqVMnL4DXelYvc13GUMR6Fk/CgpMcAZVmiqeffnqs2yjyI1Woyqgmagoxh2mzWMqAz+AMfiJiTlTVRBVCiKoIqTgNWJUPBn4EhflS9oKCqt27qT9Genw2BG1WP42gBsGSv88XaGU3tMH9EnwfBFw6omYT7AqbLfjwupaZkquTOr9ne0xMxX132GGH+c+Du4fUwUKCGvXwLDA12J8EeBMnTmxx4LB/2af5UqIRrHASBcn+W4JNtgex9/rrr2/zGt9//32b/SEK1xal2RoBFg5txHX2bdrcM9QaxFXG9sUtaPJ+pC3isqOmYNgyH0LUItz/ufea64509OA5X2gsnH/++f3YYUJq2LEwzDZVeyzMXlREfNxnn33cwQcf7C655BKNhXUO5xdp64yHnCM4l3FQ17p4CiySvPvuu/6a4ToMi9VAxYEqATVZpORVmaamWQOQ0vlTRMfWTtQ2WJq/0vmFEKIqQirOO1x4dOwtB9w4TFBx9BAYBR8EltRuJJgjLZCAkwCK1X0C1mCgSLCDG8hgm4IuEt6H5xC7st+HYDYMuBAIEKhJlw1zBQLL3XbbzQeKV111lU9pJpAs1MWY9M0PPvig1WfhNfjMuYLpSqC2LEEqTUdyCdHU7eJ9cSCJ3HAsqZVHYyZqCbK/cJvhDkuTgMr5RJoxdVkRInByxy2gfvvtt76mI++HA1UCqmgkRypjU3azqWIgPDJe4BKnWVKYsZCU4uBCDmNhkCTHQltU5F6Iy5PPdumll/qxkBT/QmgsrD04b9mPlHVARMUVjXC45JJL1ryAyvn93//+15+TG2ywQUkC6n/+8x8/Fh533HESUFOAlLwq0yQnauobS7VBjaWEEKKqEIhZsykcI6VCPTJcHzg4x4wZ49MJn3zySde7d2/vFiEw7dOnj0+3e+aZZ/yEtm/fvl60JFilcQEwYaV+G5NXmnIceuihrUQjxEycLnQhJt0PdwH133AJIIqFgeCWWmw0zSD4stegxp3Be7Lt/fv390Ep7gUaDRHE2rYGQYDDGUTwbBCA0HX58ssv9+9HiidOJ9LJrrjiCv83pTYEwglEd3SafxDc4OzhwXsb7JeNN944p+O20SHzBbGCerikKrJ4QFopwkeu9Nukt/XFF1/0Qe1GG23kXaFxB7Scn7zX6quvrhqoomFrpCIeMkaRmh4W63jPuEEztrBjIUIfwmS22ScNYyH7AwGV7TvrrLO8AIwgieiWaxwEjYW1ASL3//73Py/mcx7iPEZkpFQM7tN6MJ8xt6TWLpkVfK5S6rmysMC5fMopp6gGakqo/TOyxmhqXglTTdRaaizVXBenfXTdZoUQQhQG5wtBFUEfAk4p0MABRx9BIg0tcLgcc8wxPh3PJuMXXXSRD2hIdcTlwPfWGZXAh/ekYQUTeH639957+y6owdRBvsc9SFC2yy67uFVWWcUHpPzfUhyE1LfDHUONK1LWaLJBYBiE12USToBJbTYT2dhWHLsEHeZOZXK+8847t0mtRCjG3UGwwvvh7qPeKsEqrp5gI42wE3v28Q477OAdFfYINvog/ZrPI/4IFnE944LmWBBQIZpyDporLG3gBkXMwF1F+n52Wmsc4NbZcMMNvahM05t8abZC1DMIcowv3NNxpAZT6IvBNUMpAO4zjA9hx0IWLrLrjCM6pmUsPPDAA/1YyOszFrKPco2DoLEw3XC8WCynuRjiPMeTc7BLly6+Nm+tO08NFr25PrgmuYayS1AV4oEHHvA1drkGs+vsiuRol8kucCIKXgCkJOCKKTe96rZRD7jRY150J/Q8zK38t+Ui38ZGhAnF448/7ge/soKPsc84N3gn5xZb3bkjX/SDdTA4nefiZZ2b/rtzx7/t3J/DF35u6H0q2qB9ms59GsV9PS0QrBAAULsrVypZrcIxQkglICHVP85JNY0iOnfu7AMfXJ6WTl+qKyUOcLHQXAgnYLALOgEj1wJBJUEcDiQeOG8Imtl3Sbkahw0b5o4//ngviJUjgvHZOP5cm2l1ooS97nCR0ZX5yy+/9J8LsQGXWSnBVLXhfMIBx+dDVKhWOiWCBI62k046ybtu6iWQFtWhXsdCFjNwdbLYEjZFHgj1LWvBGk6FHQsvu+wylzZyjYX5xkHGblLDu3fvrrEwJdeduU4ZD3HrIpYyFjLHS8NcK2r4jNQQJ3uDhYFSxjOczSxYDBkyxAv0Ij1oWbfKzGxeHZMTtQbT+dVYSgghqg5BAzWxcCsQJJHmH7eoQpBDsEVQgLvFGlAlIebg1CDg6Nevn+9CHBRQgYCKGng8CJIJIlkAJJChmzn7jWA4iW1nUZI0x0Z1ESKcEkBRSxDHKWUqECM5hmkNhA3KYZC6ywIV7tPsztRx8eCDD7r99tvPizc4zoQQs+D+wb0UMZAFDdLnw2Bp8IwljA18X4u1hQuNhfnGQZ7HjXv++ee3LAYlQaOPhQiniMCMhYjfCN04m0lRT1vpmig/M43bcJBTm5dyPaX8X0pWUHKC8hv/+Mc/Yt1WUTqNeSWnoSaqUsNro7EURu2m5jo7aiwlhBCJQNAXFFJJ849bhOL1eV9EJFw8vC8/V1v8ohYkaYsIobfddlvBvyVA44Hoy/ZSp46vBC98Dh78vlqCKmmSjQSBz48//ujT9RFP2e+4bOgATRBVC7Xwgu5Trjlcb9U656+77jrv1pLrRojccD8xIRWx0LrLF8OaM+H0Q9DjOufnWnJ5hx0Lg+MgYipjICUGuI+xsMU4yH6o5mdvtLHQ3LMsHlp9WI4FZZqoY8t5m/aFxErgnHvzzTd9kzbKY5RSAodr88gjj3RDhw71rms1IksnUoWqjGqiphATR2fOEksZXM8888xZ33cI3OAlogohGgxcA0wCcWQy4cUxgBPUUrUI4iZMmODFIlwi3D+ZLFKTNOi4oNZVNqQ2ERAavA4uE5wkiKTZ6WD8TCoUQiqr+4g7Uad+UfcxGz4TLjz2AZ+z2q5UmmgU60CcDdtm6YwIexwnJvWIwfxsYipf6zmQqQbsTxMeEU/Z1zjGOD9xStWS48vcp5wbNL6oVokT9iGuaeu4TdCZC2rKUb+R1EjuTbhWd9ppp5bf41Cj7iBOJ/Y7dR3PPfdct95667X8DfcW0kiD4FKjYYdxww03uHPOOcffn0inDP5/0XikaRwErkvcleVkZ9h4xlhgrtRc42iusTBpSh0L2SfmTkXQs3HQaqzaGMijlsTkNMO93DIvKD/BPkYw7dSpk3dO12O6fjbcK7jWuU+QxcH5FxbuMSx+v/fee76RI47zXGgsTB6pQlUmY07UdgpaUkOH1k5UbjbcfDzTA81MlM4vhGgwSGVHEKKOGpPj8ePH+27irIwzGbYaZBZQ8j2TMp5HRArChC1Yxy04mSaYoy4tnecJcKgbSZCYDcEO7jhLkeI9SpmgRulKTUut1GIQHFqgaIKfpTviyuEz2O/5nAomi2P190yYZl+yH3GbEijWmjAddJ9y3XEdVuszIDoddthhPmUR183qq6+e92+5NxCM01wNZ1k2bDsdxBGmOLcRZakLzP0CB5RBmmSwwUuwVAH3ngEDBvgAlPsdXcwJaEXjkrZxENgWW1Tk/XjdsOMRf4fAwzXCZ6vV9P5S4H6WvbDIA9GKe3hQUK21+3caxg8TpzmnrHQNzbo41xtlTsF59emnn7r333/fz1O5jkv57CzC7rrrrn5/Pv/8874pWj40FiaPRNQqIydqCjFxtClHTdTgc3KiCiEajOwAjkDtrbfe8kEHky2ERCaKBgEkdZ8QY5hQBieQJtblgmCG3/F6/L/vvvsu7zbxOkzOWWFnssr7V6umVtCVSvDJ50XErZUgge20VEe2PSgGmsvKfs9+lqg6KzCyoNsEaL7a+YyYwXlbi01s+FykWb7zzjteXKim+xR4bwJA9umrr75atGbc1ltv7R/5oGt4kEsuucTddNNNvpkLjWgMruF8adC4CXERrrnmmv5vCEBFY5PGcdDeByEV4YZFELYh7KKi1UnlXs85znvzvo1wvw8uLPKZTQQMLiyaqFrttP9agHmDjYXsN362/cX+ZHGh1sbCSuHcIYuDRZANN9ywlbs8DPxfmiluvPHG7sYbbyxa+kdjYfJoqaXKzGya6b+20ypX+kTU5nR+BgO6GvNomj61bQMqIYRoUJg4Q6HmCCYwZQcerGpTIwrhE6cCQaKBcMO9l4kkzppiYgriHt1cSZfEEUT6Y7UwVyrCLRNnxFQCiVrEmnHwWXCMWOCDO5DPRUDAV8QCnuPYBo9bvcFn4zy0YBpnGIEED0RmfofYyPlK8GE1BmsRnCyvvPKKv+ZYlKi2gEoa4jrrrOOdMqNGjSqp6UYYOIbXX3+9P69x7AS54IILvMsH5zApkYgBBk5Ygkb+H2IAqYxCpHEcBIQrrl/u4bwm9+tS4H7G/2V7+b/22RoJjhP3cu7pHANL/+ceyRjI/Z/vGQO4V9TzGJiNLbTy2dkHNh4yJ+B37DfulZxDSTXfTBoWO6z8RdeuXUsWUO+55x4//h5xxBHu9ttvj7x2usbCeJC1rsrIiZpCTBxtTucncLJ0sl8nfubmafm72gyUhBAiCggccH8yWc43yWOyTX2mYLoQIHYSnCDaEZSQ6kiwZt11rYMu/98ckGEgZYxJPE4c7t10e63WJJ4AmqCLCSrBBcFsLYtqwTqqQUHRnJcmLAKf0R7sh1p0rNrn47MFHzzP5zHHmB3TWvt8+eB4ItDQmIbrpVu3blVP5SU98MADD3RnnHGGO/HEEyPdt48++qjr2bOnD/IXX3xx99RTT7XqYn7UUUe5v//97z7Qpebcqaee6u9ZOHUMHDukMbJYUgvNwERjj4O2qMj2cG1zXWe/d5j0fsuwqHbd7zSn/QdL4PBgMTE4RgQftV4GINd4yHPBz8p+qYfPGgXsG643HqussopfECzlmuH/04Pliiuu8E3Ttttuu0i3T2NhvOgKSKgmagfVRK2RdP4Zf6TyN+BkQgghgg4aRDQmirlgwk29JUQnJmzZwSNBGhMxfkdqEPWfsimnHhlBKRNYgj8ms8GV9LixxhXm4KMof//+/X2QNXjwYC9QlZvmTEoYIm1wQltN+GwES3w+jhvbgiOBr5Yyak5cc6xyjBHnCMYJNhEDOB4EC4XcO9TCzHZIRCGQsj0IFWwn28T5i+BtDlO2meet2Rap+XxGjiff8zkR6DfYYANXLw0/Ro4c6Rt+/OMf//D7vJoCKsfkX//6lzvkkEO8++akk06KXKjZbLPNvNOPoHCrrbZye+yxh/+8xnHHHefdQjhsDj30UDdw4EB35ZVX+vM1CO4cBY2iVsZBsDqU1C9kO0txTHIdcr5z3zPXIddruXBd0cgGanUsZJ9wHCxN3TI2GB/4md8xviFSmUPTHKs29pgQGfZYRD0WGmwP50WwwRb3PDvW5rjl3DYXNZ+Rz2rjIecU6eYSUGelutPciX1KI0RqH5cyljH3oJQN4ulLL70UuYAKGgvjRVdBlem81KpuuQX+6uaavbFqhdREYylKLWRPGGY2C6tqKiWEaGCYPDPJplh+LtGFSTdp9UyuczWlYSKHaMNknODz/vvv98JWdpDG5I1C+XQk5W/XX399P8E0CMZwPhIQ2INtQ+yiNhzvS0qjOSYJYvbdd18fXPJ6bD+dR+meWii4YzI8bty40PvHaomSMkXxfSbIlYi5vA5193gdJrppwYRVzoHDDz/cXX755a2EVdJTEQqsxlwwJZ7zx8RWniPwNLGVjq9jxozx54TVaOVhqaX2evbg73hYEMhrcZxPP/30lvfiK8fwz3/+c6tSBMFaphYQI2qw/RzD7EAIZxhix9ChQ12twvlOIMV1yOchdZD9Uk047jvvvLMXT19++WW3zTbbxPI+HFfuQdw7cNFwTPmaD849rtXPP/88lu0R9UOl42D2WMhXrodcYmW5YyH3YltUZFtsHAo7Flrdb+6D3EP5ivO2FNh2xgbSkysljWNhtrB69NFHe/HJmk1yHrBgxT2W7c4e/xAtg+NfcLGRc4JzxFyw+bDf24JhUBzdb7/9fINk3oOxlvdE7OPeaEIvY7ONsWwzY2BQMGURIFvMr4exsFLYzzQ1RUDlWtp000193dBSoFYyCwMcG2qBr7rqqrFsq8bCeFE6f5XZYIW13A8ff+3mnkOKfmroELgMst2oQSeqEEI0aOoigRZBV66mFWECRyb1u+++u3dZECAg4tx6662uS5curf6OCRwBE51J6XRMgLn99tv7SZ01j2Ll/Omnn27zHgQCuAEmTJjghVSCgs0339wX33/ttdd8MMrvKNpPcX0mv1Hy8MMP+89DKqWJfCb+5RLnCkEwXM7E2oKqajpFTFgtVMbAAr1gwGdpktnBYq7vgw0NgvuR74MP9rM5hILPV8pee+3lzxvOxVqCII1rAbcbixfrrrtu3qY2cUKNxz333NM33yJorKaAy7mW7awJwv2I84WAWIg4x8HssZD0Wtxo++yzjxc+oxoLbVERsYZu2oiiiHNhx0K2HQHGan1b/cuw44qNhaWKS7U8FgabVeXaluC4lz3+2c9h3KqIoIW2gYe9l22TOWqDXxttLIwC9v0bb7zhjxvXUznj2AMPPOD69Onj9t9/f+/8LFRXOWo0FkaLnKhCmBM16Dxt+VkiqhCicSGAoWg+AgwimTkBzTljgSM/U5Mt2O3dAoIff/zRB3O40BAWCQgJDs0BE4TAjTqJBHlM5qjnhOOHlf8wEBzQjAMx9cILL/RpSNddd51/PcAlyeuHFVAJNINOHwQ6tj0XTzzxhE91sxR/67BM7Ucr6M8kNbhvt912W7+NBND8fyCtCoH57LPP9u+JAMW+InihnhWfjc9k9OrVyx155JFeMEY4Jp3+7bffbnEbrr322j5wLjSp5/35W1LKcKwAwToT/GuuucbX7GMf0vQA2L477rijZRvZ5mwHLwE++5r3J4g/+OCDfQMw0sqYpOOKMicVTYZobMDfDRs2zB8nHhxL/rZv377eIXPffff51+N3BDF8Ls6Ze++919fZPO+88/znwAHF+cPDtqfYPqQ+GF1r2YYtt9zSff/99y2/Z1+OGDGiqqUiKgHRmXON1H2CaD4XQkS1BVTO/6uuusqnOx5wwAHu8ccfr0hARRTmc9l1xH2F77mWcFeddtpp3uWK645zCicf5zOiFeDku+yyy3xndco0cA4fe+yx/lystjNXNN44yP2P+yrCKa596paSfv/BBx9EPhbaoiL3bkrMcN+74YYbShoL7X7BfZ33LXUsDMI+Oeigg/x9vHPnzg01FpJWzTHAEUj9ScYnzgeESI4D2SvWoAmRDgGa/cRYyHzJHoyFjFOMUYyFLIqxaMvnY9/w/x988EEvuDP/4fzCJct5w7HEHct2NdJYGAWcu1zfuE/Zp8xtSh0vcB0zj2FM4jrEqV2JgKqxMAVkRGh++uknRkL/tVymTZuWeeihh/xXEQ0V79MZ0zOZf8036zH5u8yvv/7qjzOPXz95ddbz5y+XaSR0nkaP9mk692kU9/W08Pvvv2fee+89/xWampoyU6dPq+jx4ssv5XxM+HqC//2k77/LvPrqq5kxY8a0eUyZMsVvx48//pg56KCD/OOVV17J3HnnnZlFFlkkM378+KKf6aOPPsrMMccc/jXglltuycwzzzyZBRdcMLPKKqtkrrnmmrz/d5111skceeSRmbfffjszefLknH/D622xxRZtnuec+Oqrr1o9N3PmzEyPHj0yJ510Us7X6tKlS2bo0KGtXrtDhw6ZQYMG+fPrwgsvzCy99NJ+v/Baa665Zubyyy/PTJ8+PfPiiy9mFl544czEiRP9/z3ggAMyZ599dstr7b333pmePXv6z/HWW2/5v3322Wdb/nahhRbKvPbaa/61fv7558wSSyyRue+++zIzZszIPPjgg5n/+7//azkvgrz//vuZP/3pT5nnnnvOb1ffvn0zXbt29b/77LPP/H7o1auX/78vvPBCZr755st8+OGHObcxe79tuummmVVXXTXz5ZdfZr7++uvMoosu6vfRO++847dx9dVXz9x8883+b0eOHJlZbrm24+yECRMyf/3rXzOPPPKI//mxxx7zr8fnuv766/1r2nlWbHuK7UNei+f5rJtvvnnmjDPOaPVa7KcPPvig6HWXJNwL3333XX8ecl2yn5Pihx9+yOyyyy7++I0ePTqS1+Q8sflZ8MHxY//vvPPO/tyfffbZM4svvnhmhx128PvBeP311zPrrbdeZv7558/MOeec/h5y3nnntZxDoj4IXpNpGge5Nnv37u3HwjfffDPzxBNP+PsO97k4x0Luu4cddpi/d+ebLxUbC/l/vPcvv/zivy9nLLz66qv9/73iiisyyyyzjB+vNBZqLEwz3333nT8mTz/9tP++HLh211prLT8n/eSTTyLZLo2FySN7nRDtO8xqGsUYQ/p+u0CajtL5hRA1yvSZM9zlwwbH8trPf/t2y/dHb93Lzd4xv8MNdwQpjKQv3Xzzzf456jLhwCjmpmNVnI6hvAbgmnnnnXe8E4QamrhbcQbsuuuubf4/7onVVlvNOz9w+uCCu/jii72Dglpw//73v/3fjRo1KlTaIQ1xcBzhdswFzhJLszRwiVhduOOPP953YX322We9M4TPh+MDaFzEZ8N5ghMkCO+J0xInEO4amgDgbh0yZEiLi4jPj8sGHnvsMf+5bZ/stNNO7pxzzvGuBBwUQXhdfo9TEMzJiWPFoHssLhlqeO2www7eAYPLIQykrbEPgG3FxcO2ATUxcUHkg+NECjjnDi4l+z8GriacVDQTW3311QtuR5h9iEOD521/Dh8+vNVr4Mqhpl0aweWC6wrHFOdyuamGUfHKK6945xzHGndMsCNwJXD+Fkp5xUlWCDoRcx2IxiFN4yAPXIfZY2F2A6qox0Kch9wjcaeS3s84c8EFF5Q0FlqtVO41NITDZWuNo8KOhYcddpj/HrcoHb8p7YHLVmOhxsK0Qdo71wruTdzilOgoVLIoH+xX3MkcIxqPRtXIUWNh8kgZEgIBtf1szs2c5tyMaW62uRdwJ5xwgv/VbO2ab1D8XgghRMkgZjLxJ2gk0Hv33Xd9Svcaa6zhJ3K5IEBjIs/EleDAoKZisAg+gReTxVyBI+IptSCtIzKpc6SwEbwFU9EIHLLrymXXDKMRFuniBKv5JtIEt6RYBSEFz+D/EURRV4tAlPSrYMDKNlnwF4S0T/aHpWECKaME0Lneh3Su7GCY/09pgmx4Lvi67CdSKnmer2CBn30fDCqLEaytRfpn9s+kyOaD1DL2KQG78dBDD7mzzjrLp58BDTMKvUYp+5Cg1iC4zD6WvJcJGGmBtD06gXPMEVBIF7XjllTaIx20ERtIbz3mmGPUyVmIFIyFlBKgHAH3QlK0EXJJMS9lLORaRtzkPkypEO4/3Met7mbYsZC/5WfGEkQ9jYUaC9MCwiSLkdQS57hTioHSGqVCHWGuScorIKRSHkLUFxJRhYAOzSJq03S/SnTRRRfNev6L5lWaMlafhBAiSWbr0NG7Y6rxPoXAIcckdLfddvM/43DAyUFwkytwRIjBcUGgRb2xQk0QCOryrcYz+aWLLIIO9cWoCUmwhiuHoDIsBLo4aKjTVshRRyCMEySI1UQL/kydT7aZ2ms49nA8ILDicMlVI4v3JEglILTAme+DTt7gPuL1e/To4R555JGin43XQIQzCIoJxHjeGhDQUMVq3/G9NfmIomFTPjjuTz75pN8/9j5sDyI4QgEiAPsMB5cd/0LbE2YfFmLixIk+sKd+XBpAiOdcI8DnM1CnLumgFscOjiZc3wgs1OsTImnSMg6mZSxksYVtQHzDTcjP5YyFCG/UOMdFylfrTF/KWGj3b8ZCGlwVQ2OhxsK4Fzk4DxGZuR4XW2yxsl6HurvUAGeeicM4KOyL+kHLw0KYiJqzsVTzz3KiCiFqDCbSpBfG/SgWQKy44op+VZ6OvUzySZGiMzGBVi4OOeQQ7/Ag5SxbVCR4w1EDNGAgPZ60unzuDYQdGhoR8BA4IKYSBDBZ5jlrDJIPgkwcQ5QByOcUMnAU0Uk5CO9x/fXX+0k5DXb4PIhLOId478GDB3vxlP2CA4h9k909lQCJoJuUS/YjjhFSQEmXzgWOB5pM4FQh2CHIZb/lSr/jdfm7F1980QfCvAdBfTC9FEchzllSvwhGzemEkwbHRtRwXMkGwcERFAbZL2yjOXhozGDnQrHtKXUfZkNDCZqVVLOTbjacI3xegmlEF7aFbcKxlaSAynZxHpOaioOJc08CqkgLaRkH0zQW4i5E4EHI5DW+/fbbop3hs8dCa6BIajcCLu5ExhrGtXLGQpo2cX/nwT5B2MtGY+EsGn0sjBqOKecJx57jzecrR0DluFD2iUVNRG4WEyWg1i8SUYUIiqQzZ3XbZPDh0TRjamuRVQghREkw+adbrDlCt956a3fccce5bt26tdQe4zmgk+iNN97oa6XhmLBOwARV8NRTT3mxBicNk/6TTz457+SfSTAdSElFo/M7740jh5prp59+un8eJx/phPlgYo2j5vDDD2/ZFqtjls2OO+7otzsYoDGZpgQAASsBJDXUCD54UK8NhwlpgaRZWrdWC5AINm3bBg0a5INA/pZAuV+/fv6z5NvfvPaVV17pgymcM7x3LnAAsb+p04cARp006zpsARedgkn9I6WU11xppZX87+j2iqBHqiT7JyoITnELE1xzzAhCcD/xPVkiOIs4triESHE1im1PKfswmzvvvNPXNEsCthkHNQEZDhdEi+7du7tOnTqVlWYYJQgzlMmgLiDnDWJqmPrCQjQiaRoL6b5O7WRqorKwyKPQomK+sRABFVGWn7lXIaZyjy5nLMQ5iiOSWqv5tkVjYeOOhVHDHIu0fRaw+R7xlGNaTu3T119/3Z8flLtAZEekriehWbSlHd2lcjwv8qRPcUNmUOAGVg5cpDS3oCA0rhhROZHs0wGrOPfzeOcOH+0mz79CS0H0X//zsJvnvn2dW6Kz/12joPM0erRP07lPo7ivpwWrs0mKFu5GURimP9RMRUglpZHgrZzJcxBcOgigYZtN5NsuAhzEVL4yEcfxw9c40wazYSGRwCxYM6/aEEhzjXJtJlVbE+GAlFpEiFz7P67rjs/NMcDBhVCC0I7IUOk5GgWco7fddpuveYqIygJAko2shAiisbA0WKzDlYoYh1DHeFjOWGNjF45PnLH8jJhUzXErDjQWJjsWxnG+c0w/+ugjvyhJWYZSSjwFYb6HQ3ngwIF+QYLmb4rxGgNJ5EK0Suef1vr5mc0DZntdKkIIUU8QBODiwK3BxJ/USib/2V2FS8GaEla6XUzCeTDZZ5JO2h0gpvJ8GoS0RoHOvNXqYsvCEOm7uNDocI1oinMagTItQgSLDqQF47xBSEVEFULULown1DjlPoO4hPsR1ybjTTljFwt+NEFCTMWZSr3Uai8CitoeC+MAUZ9FSep2c55SlgKHcrnnJeUWevXq5a8fhGWyQ0TjIGVICLCC8CaaGk3NPyudXwgh6hIcEyuvvLJ3peJMIHUSV2oaUrGYnBOAso0IbAiquD14niaIBALqfl7b4DCiJiFOMFJqcZ2SMkoKJ8c4TdtJV/ETTzzR1xqkyUy57h0hRPrA5UiKPvcirm8WccoRmXwd2ubxiYwKFgEZp0xMFaLa4iljK6n7LEzjPOXcLlc8pekYJScuu+wyX0aDzCO5TxsP3cmEgA6z53aiNlljKV0qQghR765USjvQ0IIAkrRGRKI0uGcsKOWBmGUNOHD6mGuVR5TbihMpyfTFeg/qcHvhisHZiSjO+UbdwDSWFaEW6xFHHOHFXrlPhWgMVypj4aRJk/yiDmnPpcJ4xAIg4xZiKjVZeX2eqyVnqsbC2oS5EuMri+PMl2jsxrEsd+GZcZsmX5SxQYSlEVXnzp0j325RG0gZEiKrsVQrJKIKIUTDgFOGibYJXHS8JYCkcUZaIAAgCOVh6f64U3H7EKwSnEYtqIrohFMcMTRkwlmM43mdddZxCy20UCqPFzUS6TaMcIoDlZpvXCNCiPqGxRwce2RoUAuTsjc0IirHcWcuVMoDWHkanrPyNGm894nahXkRCwBjx471P1PPlnlcJWWQEGL79u3rG6xdeOGF7oADDlAWUIMjZUiIVjVRs0XUma3T/YUQQtQ1BHQ4UHGlUp+SFDBrPJW2VMRguj+BA8KcCaompirlPzlwLyHEI5wiRuCMofMzKbN8TWttW7bzpptu8qLp+uuv795++2233HLLJb1ZQogqwrix+OKL+0UeFhXfeecdPw6WW0fSFgBNTCWTgvGKn1kAlJgqKoH5DzV9P/nkE39OrbLKKv58rWT+E0zd/+c//+nuuusuNVEUnnRFA0IkLaKa87RNYynVOhFCiEbCUqwJINOY4h+E7UE05UGQighmNVQJVPks1vCD79O2/fUEAjZp7winCKiI3JSK6NKliz930i5ojxkzxqfus+233HKLT93X+SJE44LAySIK3eErTfEH7icmnDJGkeofFFPTfo8U6YI5Ds1BEVA5J0mxZ5GyknGLzJEHHnjAHXvssX7e98ILL7i11lor0u0WtY1EVCFa1USd7oPMww8/3P/YsZ05USWiCiFEI5Kd4o9AxqS63AAybggcEEqt9pwJqrgiCVTt9ya6SlStDBzA7FtE9u+//94HdIil5jhN63mSDQHoGWec4e677z6l7gshiqb4k61BbUjGmUrFVMYoE1Ot/nfaMj9EekDkpNzMp59+6s9H3NHrrrtuJKVxXnnlFT/+MaYPGDDA7b///hL2RRt0dxIimK4/c5of0K+66qpZP790zayv7dOZcieEEKK6Kf4WQM4777xeTE1TvdRcWO05HgQeJvpJVC0d9h+itO0/9iX7kO/Zv506dfLnSS0F/zhOzznnHHf99de7PfbYw7333nu++YYQQhRK8afcDUIT35M2jfBZaeNE7qW4U60JleqmiiCI7Sxms+jH2EsTtC222CKSedgHH3zgTjvtNPfkk0/65lE0kaIWsBC5kKwuRKvGUlndF5XOL4QQohmCOoLFNdZYw7v0qJeKEwIHDQwcONDXzwoDjj9cPIixuFurmfaPc4j3RRSeZ555/HMErwSuP/30k/vll198Wjqfi+dxVL700kslvx+pn3EEIeVuTxCcxbiqCMRyYYKzlUQI7hues2YpOE3ZnzSvwA1TKwIqn6N///5u2WWX9efwq6++6m699VYJqEKIoiB4ImBxL+Y+Sb3UcePGtXSxL3csxM2PIIbrFfGU+zNlBLgH8z5J04hjYVqaMtLUCYGT84zyEltuuaX//JUKqLzegQce6NP1Kb1DQyrOXQmoohASUYVolc4/zd+scWbwyFijKaXzCyFE2bz55pvuH//4hw+MEG1uvPHGnH+HaEfxfuqt8bc0tQkGCIMHD/YiFcGWPQhO8vHFF1+4fffd14tbvN5KK63k07SYkNvrdevWLafYyMQ6HwR3dCpeffXV/d8SQOJOvfzyy309yTCcdNJJvuYk4hzuP0S4apNLVL3kkkvc0Ucf7X+H64PGCtQD47MirBJoISIS0DJeFoLj+OOPP1a0jRdccIE76KCDWj2H+2mDDTao6HVpDkEQhgPTmnJx/vEZERhNMOU5PifH3PYRwikCai06pDh2V155pQ9Chw8f7oYNG+aGDh3qFwaEEPFSb2MhYwf3El6PsYImdLxXpWOhNaHiXotIRgYA92MejEH8HDf9+vXz4loUY08tjIU33HCDSxOcTx9++KEbMWKEe/HFF/05sfHGG7tNNtnEC/iVLlgi2HPuUa6Jc49z9+qrr/ZOayGKIRFViGA6f9N0H0AxyeDx2+TfZj3fvjacJUIIkUb2228/16NHDx9E4DqhWD8uzmxwseCEe/755/3fklJFYxsmuEbXrl39z/YgOMkF7k6CC9IBX3vtNe9mGTlypA/I/vvf/0byuXjtZZZZxrs4EKMI/pj4I8gVg4CX/xdVinkUEDATqJjLksCcgJtAls/K7y2F3YRG9ivHwZyriHSW6l5MZK12Cr4JpbiaOE477LCDF1H5LDxnxw2XVVAw5Zzh8xO01ZpoanBcbrrpJrfyyiu76667zn/PdbbRRhslvWlCNAz1OhaS0YCQiqB6//33uxVWWMHfc8KMTYXGQu63LFbx+oxFlvJv407wPaIcCxuNvfbaK6+gX00Yn8mMGD16tHvmmWf8ub/KKqu4rbbaypfLYUyuFBYOzj77bH+uvvXWW+65555zd911VyIL2aJ2kYgqRCsnalY6f5M5USWiCiFqCwKKyVN/j/0RRiijfhWTdMS5v//9735STP2pbAiUaG5DMMjf9uzZ0wdNuBFKBUcljgICAwsuScXn9TfddNNQrzFhwoRWTh+ExVzpzjyPwwg3h7lxePDzwgsv7BZZZBF38MEHt6T981qIjASd66yzjtt666194GDvA4h6Rx55pN9maq/iQjF69erlf7f55pv7QPiTTz5ps00EBqSnkZLG5w0G6gSmuBHZL6SvXXTRRf75Z5991p133nk+rZvtYLv4W4IN0r35nLiL/v3vf7udd97ZbxfHlUBnn3328Z8TNxM1yxAm2QcIjwS8uEmC+5KAHkcJ+4TaYzhdESwJvglo2D8E+hzH2267zf8fAikTF/gdATRC7qGHHuobOeEOPv300/378f44rajzucsuu3i3DUICjmHOWUozbLjhhr6rLwIwATrvUQ+CaRCEhksvvdS73i6++GLvriJwRJCph88nRK2Mg40wFnIf5b7P2ERGHyItYw/CcaVjIeMNY9GgQYP8+3CP7t27tzvkkEP85+DeTSp2XGMhmLBt4/BRRx3lNttsM/833FP5zLvttpvfPp6n+ZEdd3NO4ijOHgsRxOHRRx/1WQE2Ft57770t2xMcC3NtD4ubjM98Dj7PWWed1SIqc99njN599939a6+33np+7DO6dOni9x11bqsNi5e4nV9++WWfrj9+/Hg/lnPOsJ2UemC8rhQ+G00T2TcItIj9vN/aa68dyecQjUVdKEPcmFhR4IKYOHGiHxhIWfjXv/7Vqsg1N3JuLmPGjPE38b59+3obtxB/1ESd1vr5pub6O3KiCiFqjN+mTXHLHb1Z7O/zyeUj3TxzFO7izXh7++23e4HrjTfe8M4T0hOLgeBFylXQIcBEm0YWiGYEMAhouUBkw2lYiVDEfMKcPwQj22yzjXdD5ILAEbGO1DBEOdISCXSuuOIKPxchsLrmmmu8o4jXZLsIiAkMCZBIGwwGgCeccIJ3THz00UdeFOzevbsXGrfbbjv/e4RGAgC2JzuAJ3Djs+M2JLC77LLL/M8EjxbIEaxRhoDgmGCPgJ4GDTRWIKAp5EohsHv66ad9MIIQyf/j7++++26/faSGErRZEEzAjeNx0qRJs0SNyZP9e7K/CKBI2yRYRejjdQmM2R6Cm+OOO85vI4Eu8H95DXOV0hSJlEbOK/Yr7892HXDAAX6/P/bYY/6z4voiPZYgmfcyOLc4dhzreoLrhn3G+cd+5etOO+2kLsOioUjTONgoYyHjyq677urdpYxdNhaSKo2rlPtQVGMhr8ci3MMPP+wFaQRZXpPnefD/qjkWMs7x90OGDPHbx32X2tNBWMyzfclcgZ/33HNP/zMCJ2MVAuoTTzzhFwFJYUdkZSxEpOWz5AIthLGQz8YiIguabBdiL7CfGA/vvPNOPxYyRttYiEjJuYVWUo10dj43mg0P5gXMFRBLEZBZQIgSFplt3Gdh+6mnngp1zQlRiLqYSbGCxw2d9CRuHqy4X3vttf7mZ3DT5cKhhsbrr7/uLyZuHqRxCeE6mhN1em4nqhpLCSFE2RBA4aBALCPQuPDCC4tO1HGfsCB66qmntqRw4SIh2CGQoIYaTgvcBLlASMSRYRA84URhso7wZowaNco/H3zkgoVZAjTcKbnAjWmiIY4YnB2HHXaY/8wEcjg3CRDDgEjI58M5yGsSwPJaBFcGQSoiI4EgwWKQxx9/3K255ppepOR3xx9/vA9aWEQ22K+4ZUjv7tOnjxdAw4KbhYYOBHwE07iICPQQLfmcOB2tNACwDbht2BcIqgT87B+CaHPV8Flwi/LaBFIEzGyf/X/OAXvw2uxj3v+BBx7w5wEBGNtBwM1+Ylt4f4JhXFHsJ9xcbFsQXgM3a72Ai4fjTfBMSiTHFRcx54IEVCGSpZHGQu7TbC8iIWMMsTqCGQuK3JuiHAupM8v4seCCC/p7PVkKxP7sEwTXHXfc0T+fxFhYCARjRFs+kx1XXoN7Na/HWEgJhjCwsHrmmWf6/cD9n8+KYGowFiISJzEWchxZBEBQR9RHeMYZygKAjdF87igFVAThvffe2x8fFl855ojtElBFFNSFvY70Lh4GK+6saLHKxU0X7rjjDn9Dvfnmm/2NjQuK1Dus8aQViAbHnKZtnKhqLCWEqE3mnn1O746pxvsUgonztttu68dfggoWOxmzCQ4IHnKBy5DgBGcEKYcG9UcN0rwQ4xDRCKKyIZjC5WAg2PHArWMdhC1oYUIfJNuxQyBGgMIkPF9aGcFisF4dThCyX8iSIZjjPXHmMD8hcCgEgTGBc7BOHAEogaKBaycfOGqC9fEIyEiP43mDn4PfFwv2glAz3EAUzf45uB+yoWszAqmlIALfn3zyyd5Bw+ck4LE0yGJkf1YWy4OfM7ivEV6zt43jFEWdtaRhTovzlPkuQg3lE7hGhGhk0jIOgsbC1mMhafvBsaPSsZBtZZt4IFLzd/x/fs82MA4iIPJzsFmWxsLox0JEU8RqRHMeHAc+D9tAtg77KXvxNwp4D5ymOIA533Dcsi+D14sQUVAXImouWElh0DCoP0LtrWB6P7U2WAHEIcKqTTakiVnNFuDGbwNamKYRubD/V+7/F/Hs0/aug2MqMHP61FavM7P5+5mZdq6pgY6ZztPo0T5N5z6t5+NBQBEmvTBuSKXCXYD7BHBI4sDB9ZIrcGQSTPMNtp/0q0IpiARF+WrR4big6zjOjEog0MUlQmodNd3yQSBMyqXBIi2BA+IW/49sGVL8cLzQvdgafuAQyv6M/D3OTYLM4FwmSKH9glsHN6rBPqJOaTBlnZ+pL2ffmxsqzjqZBDUsbr/yyis+yDU43riBSDtknoZzyY5rse3hM5ESa5+F78Om5uOm4vys1c703L8QThBP//Of/3i3GtlWGAWEEOkZB0Fj4R9jIYs9CJqIiCYwc9+OcixknyAqDh8+3IuD1lyQ8Y6fLa7ntRHZ+HuNheWNhWwjr8E+5jxBOEVD4ZhRcoLME76PKxuCY0kZoauuuso7oTHIUfYg6MAWIkrqUkSljgoTSnOhAitw2asQtiLD73KJqOeff36bOibAzZgVnEpglURESyX7dJWvvnQrUl/3k4/ca7882fL8V1985ghFPvrkM/fRlD8C0kZB52n0aJ+ma5+yUi7ixWqEkkZltcho9JCvfhtNIkjzot6n1SwzCN5I+6auOfXkcBsEx/ogdD0mbZLJNPXncJh88803fo4QdmLNgiyOId4jn1PIwFF0zz33+Pc1VwdzBYI1RFPqwTHXIECz+QcTf1LOyJQhyMQZQsoigQY1PUnHo0QRwisOVl5z3XXXLbrdOBGpvcc+x/nEfsIVQyBjsIjMZ2Jf44xiXwEOEdwwBEVRBpEEdDS2IHjO7iLN5yLQwpmC0wkhMBhE43rKtz3UkqMWXOfOnf3+I2DHyRMG3oe5Ya3VQ2VfUnePhzX7QiTJNZcVQqQDjYWtx0LGAcqw2IIiY6G5R3FgIjhHNRY+8sgjfiyk3B/bguvWBL0BAwb4VHKrN8oDMZB9q7EwNxwnRFN7sL8QTfmKKMw5wjHOPm+jhsVDE+Up24Bbm0UKhHchGlZEpasqk/xCMABRwyRYC4qbN6kPBx10UEXvz0oQRZwNgh0GHmqrWp2uUmEFjICfothx2NgbkSj2afuRbzk38VG39JJ/c4tusa1fCYRll5zLuXecW3HlVd3yG2/jGgWdp9GjfZrOfWpOBBEfBE4EVEzmccrhRmBspekBUFeNQHLYsGE+wEIYYhIedLrwO+qMcbz3339/H2ARfPGa1PbKBcEhWSjUR6czL0Il/4fglU6/YSfoOGoOP/xw/7AUOZwW2VBzjXqcBJt85qOPPtoHNQQSzFOCNVEteCNFk/2Ba4PPZwEl6XsEjGw7zhACKxpNBOvXFYJ999BDD/mUTfYXjid+Dl4n1Fsj6CDwIdi140EAQsDNdtMkg6YbUTlvCJTZ/wafmWPLwjfpqNSjo5FGsGM0+5X6d/m2B1GA84l9zOejxhxBdxioF1fpXLFaEJwinBAwIqpw/Aj2yapSrVMh0o/GwrZjoZUEQMTkbxEyuc+zfYiFZIvGMRYGRTb2A+/JWMj+IHOV/Uq8j7uR7cYxjBDbiGNhtmDKg+esfAJCKa5ZHpyviLFBd23UIBDT0AtBnLrA1D2lzmpwkViIuGmXyef9TwHcSIvVAaH+qaXoU/eD7nUUDOamF5xUcuMkWObGaXDBUciYFIIwq/f8f27wDAqViKik2DH5lZASDZHs05EDnBtxjnNdeju30+V/PH/fIc69eadzPc52buOjXaOg8zR6tE/TuU+juK+nhSlTprjPPvss9gmsyA8uHQLUYGPLsBCYMB+xGnA09cCRwnkZtUhG8EPaYqG6qmmAQI1rNI59QMofdfVw4FRyvcR53TFFx3lEN2+anVhgzCPtx06IpNBYWNtjIXO7YB1NaxhlzaqqMRZy780lHvI8Y5E9EBGDP8dVAqAaYyENCNFUTCS1z2/OVxNMre5s9nbEed2xiMjCAWMhWg4L0Di1cfTWQ01zUXuk2omKjZ5HGHCgUvOF1Aa6+GVf2NQUoZsgN2YLtrkYWflS+pNoaRyVt7FUqi8VIYQQKQD3TbkQlNi8BxEVQZW0P4IYAsi4gshGBZE6l4sqDZBmS3oiD9JucQfjFMKVlK+ZixBC1MNYSJxO2RsctLgOGQu5J3LvY2GRsZAyJnESbFJlICZa7U8TGNEVTHCEoKBqomr212qP4bbdtp32vX1lu1544QX/WfhMJg5zHHDs5hJMq7XdCLuMgzQzQ+DFdYqrGkexEElSF8oQAioOVNIKWPli5cqwWi9cdNQ3xR5PygP278svv9ynCAjRIqI2TW/pKAhzz5zh/FDXvi4uFSGEEDUAASLpjNQns+68NH0gkKlWECmqC+mdpPritCF1llp+pPdSx0/HWgjRaCA2zjfffP5BOT2cmIyF7733nr8n2uJisGl03NtjYmg2QZHS3Jv21QTLYIOo4KPQc8HXB9y99rw9Z68dfI9czwW33wRdhNJqOGlLgbIRNOFkLGRcpEQjmRiUWdAiokgLdaEM4ShlhYpHLjs+YPWmIRTF93GrUiOF4sMU2RbiDyfqdC+g4vaBX2/c3c3DN+2Vfi2EEKK6ENAwHvHIDiIJHHFT8ijVoZriSk4NA8fggw8+8HX2aAr18ssv+7p7vXv39mVK8nWiFkKIRgOBz8Y7UrtJQWcsHDdunG9ARZzP7xBXkxgLg87VfOWlsgXVfMKnuVpzbRufPfie9jXodA0+l6QDNiyIzThOGQt5IKKyeHjBBRf4ryrJIdJIXYiovXr18o9iYP2mYLcQbWjXvLLVNLP18xlL55eIKoQQIh1BJEEHgiq1fHGoArXS+B3BpNwa6YQAmG7PJpwiANBUhuYfNMoghVUIIUR+qMuJGYoHKeiMg4iqEydO9L8LLi6mqemeCa2V1ESde+65U/WZyoUMG0xwjIU0yGJOg2Dar18/3yyx1nsUiPqnLkRUISqmffOglskSUZtmtP69EEKkHLkM6x8CMeq58+B4E5AQRH799de+sQPpj4ipfC3VmSOivd4QSulE/cQTT3iHKS6l7bff3g0cONALqATFQojo0VhY/3A/NUEVofGXX37xYyHjID8jxtlYSH1PER/moC2UeUFT78cee8yNGDHCLbnkkm6HHXZw9913n8/CQAAXolbQ2SpEISfqTBNR5UQVQqQ/mEAsoy44zYkknDWmM4eaaThWaMaBgIdrBaGOlEcepMbVyrlBUMbnoetvGt03BIZcb1Zbzur0I5ra49NPP/VlpLp37+6GDRvm1llnnVR+FiHqBY2FjQtC6aKLLur+8pe/+AaNiKo05/viiy/8OGnjII9q1VKt97GQcZBt43pj29ivJpoGx0LmJYilW221lbvkkkt8c28hahWJqEKEcaIqnV8IUQPuROqCI5x9/vnnSW+OSAG4UAlufvjhB+9SnTp1qhcUEFJ5EHCa4JBGCMQIhNPspiWdlBpuOEuDoikNT2lgutFGGyk1UYgqorFQBEHYY7xj/KNREV95IKoyBtpYyM9pHWfSPhaakPr666+7M88804+FlFlANGUsPPLII926664rN7CoGySiCgHt2hdxoupSEUKkH2qArbDCCl7YESIbzot33nnHN3EYM2aM7wLPczhCVltttZbH8ssvnwqXDts2evRo35U3X7OOagaJX331lXv33XdbHuxLHE7sPwLFyy67zIumpI8KIZJDY6EoBCVwGP/olcJ4aM0aV1111VZj4VJLLZUK52eaxkJqe1OLPTgOMp/AaYpQutlmm/lG3hJNRT0jZUiIoBM1u55LkzWW0qUihKgNrEOsENnguNlggw38w1IEcVHiHuFx0003uTfeeMO7dGjGiaOyU6dOXiRcccUV3RJLLFHVgJLzmICN7a5m4EgphI8++sg/CBDZN+wXAu811ljD/f3vf3ebbrqpO+644/zP6h4sRPrQWCjywT2bmtQ8ABdl8F5P3c7//ve/Xlhda621/FjImMg4yGOhhRaqqiM0ibGQhUMyWGwsfOutt/z+4SvbY/tlt912c+eff76fJ+h6E42ClCEhgk7UTJMfABgQoIMbP+t5OVGFEELUGQiiBD489t577xZhFZeJCasPPfSQF1pJiyWVEHeXBZL2WG655XxQmQbHTtjgkFp5uEgtQOTx4Ycf+q/fffedr6vHZ8WZtOeee7oBAwa41VdfXc4aIYSoMxBLWRzjEXR/4rS0sXDw4MF+fEBYpKlj9jjIY5lllvHlW9KYcp9vLGTRkDI0wTHQHr/99ptvAMVYyPhHWj7CKZ9VgqloZKQMCZFVE5VVvnvvvXfWz1es1/x71UQVQghR/yCEEjDx6NmzZ8vzNLSwQMsepELydeLEid4ds9hii7nFF1/cP3Ct2vc8ECUJLumSTKotjT2iEl0JBNk+hNFff/3Vf6XJBcGuPSZMmNDqe4JDtiUYANP8ia98dqXkCyFE48KY1rlzZ//o06dPy/OMLyws2jhIA6VHHnnEf08dUBYb842D/EyzMxsH+RplnVPGQjImgmMhjbXyjYOM3bhw2SYbB/m8e+yxR8sCKdsnhGiNRFQhoJ2l88/Mk84vEVUIIUTjwgIjrkwe2SBIBgVLC9DGjh3rhVZ+JpAjoEPsNBBSg8EkXy0FF4GVwJKmWIMGDfLBIS7ZmTNn+vezAJGvPHgeaA7Cay288MKtgtcuXbq0CWYRSmvFMSSEECJ5GF+yXavAGEVd0FyLd5QGePLJJ/3PkyZN8mMW4iUw1jH22TjIY+65524ZB20sxDEaHAtJ788WTPmZ3wNZE7zWX/7yl1bjHnVVs0VexmIhRHgkogqR5UTN3VhKKQtCCCFELgj4cKzwKAaBnwmfBH3BANDEUALE4CMorPLg/YLCqwWefK90eyGEENUGoZOFOR4rr7xy0b9HRM0e/2xMZKEwOAYyLvL6NgbyYEzMXoi073kk3YBKiHpGIqoQwZqoTTP9Kh6DD/x6zkrOr83JiSqEEEJUDE7RBRZYwD+EEEKIRq3DSi1xHkKI2qI2OgAIUTUnalPr55vMiSoRVQghhBBCCCGEEKJRkYgqRKGaqDOba6K2l2lbCCGEEEIIIYQQolGRiCpEGCdqB4moQgghhBBCCCGEEI2KRFQhgjVRsxtLtaTzS0QVQgghhBBCCCGEaFQkogpRMJ1fNVGFEEIIIYQQQgghGh2JqEK0SufPdqI210TtIBFVCCGEEEIIIYQQolFRjrIQ0L55PaGpyXXo0MFts802zmUyrkO757CpKp1fCCGEEEIIIYQQooGRMiREVjr/nHPO6R577DHnZkx1rt8is55XYykhhBBCCCGEEEKIhkXp/ELkS+e3plL+90rnF0IIIYQQQgghhGhUJKIKka+x1MzmeqigdH4hhBBCCCGEEEKIhkUiqhDQrvlSyDS5yZMnu3nmmcfNs/Bf3eRpmVnPS0QVQgghhBBCCCGEaFikDAmRI53/t99+a/7FvLMEVms8JYQQQgghhBBCCCEaDilDQrRK529q+7sOqocqhBBClMvo0aPd9ttv75ZYYgnXrl0799BDD7X6/a+//uqOPPJI97e//c3NNddcbtVVV3XXXnttq7+ZMmWKO+KII9xCCy3k5p13Xrfrrru6b775ptXfPPLII27FFVd0K620knv00Uer8tmEEEKIMGgsFKI+kIgqBJjTNNhYquV3ElGFEEKIcqFMTqdOndxVV12V8/fHHXece+KJJ9ztt9/u3n//fXfMMcf4QJJA0Dj22GPd0KFD3b333utGjRrlJkyY4HbZZZeW30+dOtUHlldffbUbNGiQO+yww9y0adOq8vmEEEKIYmgsFKI+UDq/EPkaSxmqhyqEEEKUzdZbb+0f+XjxxRfdAQcc4Lp27ep/Pvjgg911113nXn31VbfDDju4n376yd10001uyJAhbvPNN/d/c8stt7hVVlnFvfzyy2799df3gWOHDh1c586d/e87duzon5t99tmr9CmFEEKI/GgsFKI+kBNViBw1UVvRQSKqEEIIERcbbrihd9qMHz/eZTIZN3LkSPfRRx+5Lbfc0v/+9ddfd9OnT3fdunVr+T8rr7yyW3LJJd1LL73kf/7Tn/7kevfu7RZffHGfKon7Zr755kvsMwkhhBCloLFQiNpA6pAQQRE1pxNV6fxCCCFEXFx55ZXecUMdOFwz7du3dzfccIPbZJNN/O8nTpzoXTQLLLBAq/+36KKL+t8ZZ555pk9/5P8raBRCCFFLaCwUojaQiCpEMJ0/0+QHnE033dS5qb+49u0+Ujq/EEIIEXPgSCoiDpylllrKN9+gphsumqDjJgzzzz9/bNsphBBCxIXGQiFqA6lDQkA7ayzV5Oaac0737LPPOvflK85d313p/EIIIURM/P777+60005zDz74oNt22239c2uuuaZ788033cUXX+wDx8UWW8w3xvjxxx9bOXDoSMzvhBBCiFpGY6EQtYNqogoB7QOXQqZp1teZM2Z97aB0fiGEECIOqO/GgyyQIDTGaGqaNR6vvfbabrbZZnMjRoxo+f2HH37ovvzyS7fBBhtUfZuFEEKIKNFYKETtIIudEMF0fquLSo3UpumzflY6vxBCCFE2v/76qxs7dmzLz5999pl31yy44IK+IQYldE488UQ311xz+RTGUaNGudtuu81dcsklLWmJffr0cccdd5z/PzTO6Nu3rw8a6UYshBBCpB2NhULUB1KHhAg2lnLOTf71Z7f0Cqs4N3O6+/zAjJtHjaWEEEKIsnnttdfcZptt1vIzASAccMABbvDgwe6uu+5yp556qttnn33c999/74PHc8891x166KEt/+fSSy/1Dp1dd93VTZ061fXo0cNdffXViXweIYQQolQ0FgpRH0hEFSKHE3XSpEnNP8zbOtVfCCGEECXRtWtXl8lk8v6eWm633HJLwdeYc8453VVXXeUfQgghRK2hsVCI+kDqkBBZTlSXmZlfYBVCCCGEEEIIIYQQDYdEVCGyhVJrLJVLYBVCCCGEEEIIIYQQDYdEVCGgXeBSaO6AmPN3QgghhBBCCCGEEKLhkDokBATrniqdXwghhBBCCCGEEEIEkIgqRHbavpyoQgghhBBCCCGEECJAx+APQjQ03nE607V3Ta5Lly7O/fa9a9/uW4moQgghhBBCCCGEEA2O1CEhspyoc805uxszZowbc8e5bq7Z2rVO9RdCCCGEEEIIIYQQDYfUISGya582zWz9VU5UIYQQQgghhBBCiIZG6pAQ2TVRrbFUJjPrq0RUIYQQQgghhBBCiIZGNVGFMNq1819+m/ybW7XL0s5N+9W9t1/GzW3iqhBCCCGEEEIIIYRoSCSiCpGVzp+ZOcN98cUXs77PzCsnqhBCCCGEEEIIIUSDI3VICKPFcdqczp9dK1UIIYQQQgghhBBCNCQSUYVo01iqKet5XSZCCCGEEEIIIYQQjYzUISHyNZYyJKIKIYQQQgghhBBCNDRSh4Ro40TNElHb6zIRQgghhBBCCCGEaGSkDgmRLZZmlM4vhBBCCCGEEEIIIf6gY+B7IRqb5nT+dpmMW3XVVZ377XvXrt2vaiwlhBBCCCGEEEII0eDIYidEluN07jlnc++++65799aT3NyztZMTVQghhBBCCCGEEKLBkTokRL6aqJbWLxFVCCGEEEIIIYQQoqGROiREVjq/y8xsLaba80IIIYQQQgghhBCiIVFNVCGynKi/TZ7s1lltNecmT3Jj9sy4ueVEFUIIIYQQQgghhGhoJKIKYbSfJZZmmma69957b9b3mXlbnhdCCCGEEEIIIYQQjYnUISHa1ERtynpel4kQQgghhBBCCCFEIyN1SIh8NVENiahCCCGEEEIIIYQQDY3UISGyxdJMthNVjaWEEEIIIYQQQgghGhmJqEK0SeeXE1UIIYQQQgghhBBC/IHUISGKpfPb80IIIYQQQgghhBCiIemY9AYIkRqaHaftMk1uqaWWcu73H1y7dk1yogohhBBCCCGEEEI0OFKHhMhynM49R0f3+eefu89vPsTNPVs7iahCCCGEEEIIIYQQDY7UISHapPM3ta6NKhFVCCGEEEIIIYQQoqGROiREvsZSJqZKRBVCCCGEEEIIIYRoaFQTVYgsJ+rvv09xm6yzjnM/fulG75Jxc6mxlBBCCCGEEEIIIURDIxFVCKPZcdrUNMO99tprs77PzCsnqhBCCCGEEEIIIUSDI3VIiHzp/C3P6zIRQgghhBBCCCGEaGSkDglhtG++HDJZIqrS+YUQQgghhBBCCCEaGomoQrRxojZlPa/LRAghhBBCCCGEEKKRkTokRLbjNNuJKhFVCCGEEEIIIYQQoqGROiSEoZqoQgghhBBCCCGEECIHHXM9KURjO1EzbuGFF3Zu6i+zfpaIKoQQQgghhBBCCNHQSB0SwmgWS+eZo4P73//+5/533e5untnbqbGUEEIIIYQQQgghRIMjEVUIo3371jVRM80NpuREFUIIIYQQQgghhGhopA4Jka8mqn2154UQQgghhBBCCCFEQ6KaqEIYzWn7v0+Z6rbu2tW5b95zw3bIuLnkRBVCCCGEEEIIIYRoaCSiCmE0O06bZs5wo0aNmvX99vMqnV8IIYQQQgghhBCiwZE6JIRhDaSsJmrL87pMhBBCCCGEEEIIIRoZqUNC5KuJ2vK8LhMhhBBCCCGEEEKIRkbqkBDZjtNMU+vn1VhKCCGEEEIIIYQQoqGRiCpEtuM0W0RVOr8QQgghhBBCCCFEQyN1SIg26fzZTlRdJkIIIYQQQgghhBCNTMekN0CI1DWWaprp5p57budmTJn1s9L5hRBCCCGEEEIIIRoaWeyEMJrF0nnmaO8mT57sJl+xmZtn9nZyogohhBBCCCGEEEI0OFKHhMjhRPVkZrZ+XgghhBBCCCGEEEI0JBJRhTBMLDXx1BpMtWuX3DYJIYQQQgghhBBCiMSRiCqE0Zy2P2XqNLftttu6ba96202ZkVE6vxBCCCGEEEIIIUSDo8ZSQhjNYunMGTPd448/Puv7beZVYykhhBBCCCGEEEKIBkcWOyHapPM3p/EbcqIKIYQQQgghhBBCNDRSh4Qw2mU1ljLUWEoIIYQQQgghhBCioakLEfXzzz93ffr0ccsss4yba6653HLLLefOPPNMN23atFZ/065duzaPl19+OdFtFyluLGXIiSqEEEIIIYQQQgjR0NRFTdQPPvjANTU1ueuuu84tv/zy7p133nEHHXSQmzx5srv44otb/e3TTz/tVltttZafF1pooQS2WKTaiSoRVQghhBBCCCGEEELUm4i61VZb+Yex7LLLug8//NBdc801bURURNPFFlssga0Uqad9+9wiqtL5hRBCCCGEEEIIIRqauhBRc/HTTz+5BRdcsM3zO+ywg5syZYpbccUV3UknneR/zsfUqVP9I/ia8P3337vp06eXtV38v99++8199913brbZZivrNUQ8+7Tdz7+5jlMz7pdfp7Q89/PUjJv6488uM893rpHQeRo92qfp3Ke//PKL/5rJZCLeOiGEEEIIIYQQ9US7TB1GjmPHjnVrr722d6GS1g+TJk1yt912m/vHP/7h2rdv7+6//343YMAA99BDD+UVUvv16+f69+9f5a0XQghRbb766iv3t7/9LenNEEIIIYQQQgiRUlItop5yyinuwgsvLPg377//vlt55ZVbfh4/frzbdNNNXdeuXd2NN95Y8P/uv//+7rPPPnPPPfdcKCcqdVdxoVISgKZU5fDzzz+7//u///MB+5/+9KeyXkO0Rvs0erRPo0f7NJ37lCEQN+oSSyzhF9iEEEIIIYQQQoiaS+c//vjjXa9evQr+DfVPjQkTJrjNNtvMbbjhhu76668v+vrrrbeee+qpp/L+fo455vCPIAsssICLAgJ+CSnRon0aPdqn0aN9mr59Ov/880e6PUIIIYQQQggh6o9Ui6iLLLKIf4QBByoCKmn8t9xySyhH0ZtvvukWX3zxCLZUCCGEEEIIIYQQQghRr6RaRA0LAirp+0sttZSvg/q///2v5XeLLbaY/3rrrbe62Wef3a211lr+5wceeMDdfPPNRVP+hRBCCCGEEEIIIYQQjU1diKik5NNMikd2Y5Bgydezzz7bffHFF65jx46+jurdd9/tdtttt6puK+UBzjzzzDZlAkT5aJ9Gj/Zp9GifRo/2qRBCCCGEEEKIapHqxlJCCCGEEEIIIYQQQgiRNGpFLIQQQgghhBBCCCGEEAWQiCqEEEIIIYQQQgghhBAFkIgqhBBCCCGEEEIIIYQQBZCIKoQQQgghhBBCCCGEEAWQiFolll56adeuXbs2jyOOOCLpTatZZs6c6U4//XS3zDLLuLnmmsstt9xy7uyzz3bqlVYZv/zyizvmmGPcUkst5ffrhhtu6MaMGZP0ZtUMo0ePdttvv71bYokl/DX+0EMPtfo95+cZZ5zhFl98cb9/u3Xr5j7++OPEtrce9ukDDzzgttxyS7fQQgv537/55puJbasQQgghhBBCiPpEImqVQIT6+uuvWx5PPfWUf3733XdPetNqlgsvvNBdc801btCgQe7999/3Pw8YMMBdeeWVSW9aTXPggQf68/P//b//595++20vTiH0jR8/PulNqwkmT57sOnXq5K666qqcv+ccveKKK9y1117rXnnlFTfPPPO4Hj16uClTplR9W+tln/L7jTbayN8DhBBCCCGEEEKIOGiXkW0vEXD6Pfroo96BhnNKlM52223nFl10UXfTTTe1PLfrrrt6d9/tt9+e6LbVKr///rubb7753MMPP+y23XbblufXXnttt/XWW7tzzjkn0e2rNbi2H3zwQbfTTjv5n7nd4qY8/vjj3QknnOCf++mnn/x5PHjwYNezZ8+Et7j29mmQzz//3DvT//Of/7jOnTsnsn1CCCGEEEIIIeoTOVETYNq0aV7k++c//ykBtQJIMx8xYoT76KOP/M9vvfWWe/75573YJ8pjxowZvkzCnHPO2ep5hGn2raiMzz77zE2cONE7e43555/frbfeeu6ll15KdNuEEEIIIYQQQgiRn44Ffidignp+P/74o+vVq1fSm1LTnHLKKe7nn392K6+8suvQoYMX/84991y3zz77JL1pNQsu1A022MDXll1llVW8Q/LOO+/0At/yyy+f9ObVPAiowH4Nws/2OyGEEEIIIYQQQqQPOVETgPRz3JKk9Yryueeee9wdd9zhhgwZ4t544w136623uosvvth/FeVDLVTSzv/617+6OeaYw9fv3GuvvVz79rpdCCGEEEIIIYQQojGRE7XKfPHFF+7pp5/23aRFZZx44onejWp1JNdYYw2/f88//3x3wAEHJL15Nctyyy3nRo0a5Zv14PSli/yee+7pll122aQ3reZZbLHF/NdvvvnG71eDn1XDUwghhBBCCCGESC+yllWZW265xf3lL39p1bRHlMdvv/3Wxh1JWn9TU1Ni21RP0DUeoe+HH35wTz75pNtxxx2T3qSah6ZHCKnU8jUQql955RVfRkEIIYQQQgghhBDpRE7UKoK4h4iKS7JjR+36Stl+++19DdQll1zSrbbaar4j9yWXXOIbdonyQTAlnX+llVZyY8eO9Y5f6s727t076U2rCX799Ve/34LNpN5880234IIL+nP1mGOOceecc45bYYUVvKh6+umn+9IeubrNi3D79Pvvv3dffvmlmzBhgv/9hx9+6L8iWJv7VwghhBBCCCGEqIR2GdQSURWGDx/uevTo4QP8FVdcMenNqXl++eUXL0A9+OCD7ttvv/VCFLU7zzjjDDf77LMnvXk1XWv21FNPdePGjfMi1a677urFarrIi+I8++yzbrPNNmvzPIsngwcP9gL1mWee6a6//nrfYG6jjTZyV199te4JFexTHrlEfvZzv379qrSVQgghhBBCCCHqGYmoQgghhBBCCCGEEEIIUQDVRBVCCCGEEEIIIYQQQogCSEQVQgghhBBCCCGEEEKIAkhEFUIIIYQQQgghhBBCiAJIRBVCCCGEEEIIIYQQQogCSEQVQgghhBBCCCGEEEKIAkhEFUIIIYQQQgghhBBCiAJIRBVCCCGEEEIIIYQQQogCSEQVQgghhBBCCCGEEEKIAkhEFUJUhWnTprnll1/evfjii4ltwymnnOL69u2b2PsLIYQQQgghhBCiNpGIKkQZ9OrVy7Vr167NY+zYsUlvWmq59tpr3TLLLOM23HDDVs+PHDnSbbfddm6RRRZxc845p1tuueXcnnvu6UaPHt3yN88++6zfvz/++GOb11166aXdZZddFmobTjjhBHfrrbe6Tz/9NIJPJIQQQgghhBBCiEZBIqoQZbLVVlu5r7/+utUDkTCXA7PRyWQybtCgQa5Pnz6tnr/66qvdFlts4RZaaCF39913uw8//NA9+OCDXmg99thjI9+OhRde2PXo0cNdc801kb+2EEIIIYQQQggh6heJqEKUyRxzzOEWW2yxVo8OHTq4rl27uiOPPNIdc8wxLaIdvPPOO27rrbd28847r1t00UXdfvvt5yZNmtTyepMnT3b777+///3iiy/uBg4c6F+L1zFwYz700EOttmOBBRZwgwcPbvn5q6++cnvssYd/fsEFF3Q77rij+/zzz1u5aHfaaSd38cUX+/dBwDziiCPc9OnTW/5m6tSp7uSTT3b/93//5z8nafg33XSTF0P5nv8b5M033yzoxH399dfdJ5984rbddtuW57788kv/2XjgDt18883dUkst5dZcc0139NFHu9dee63kY8J+yOUQ7tevX8vfbL/99u6uu+4q+bWFEEIIIYQQQgjRuEhEFSIGEAVnn31298ILL/g0dtLQEQnXWmstLw4+8cQT7ptvvvFip3HiiSe6UaNGuYcfftgNHz7cp7C/8cYbJb0vQiii7Xzzzeeee+45//6Isrhmg45YUugRNfnKtiI+BoVYxNw777zTXXHFFe7999931113nX8dBMl//vOf7pZbbmn1vvy8ySabeIE1F2zLiiuu6LfLuP/++/32nnTSSTn/D+9VKpQBCDqD+QwdO3Z0//jHP1r+Zt1113Xjxo1rJSwLIYQQQgghhBBCFKJjwd8KIfLy6KOPemHRwGV67733+u9XWGEFN2DAgJbfnXPOOV5APe+881qeu/nmm73T86OPPnJLLLGEd3refvvtPr0dEDf/9re/lbRNpMQ3NTW5G2+8sUWERODElYoou+WWW/rn/vznP/v0epyzK6+8sneIjhgxwh100EF+e+655x731FNPuW7duvm/X3bZZVs5Wc844wz36quvekESIXTIkCFt3KlBvvjiC/8Zg/A+f/rTn7yDNyisHnDAAS0/v/TSS26NNdZo+TnX/vjtt99avp9rrrn8AxCJcdiyz7t3797yN7YdbBP1VIUQQgghhBBCCCGKIRFViDLZbLPNWtXWnGeeeVq+X3vttVv97VtvveVdn0HR1UDs+/33371TdL311mt5nlT8lVZaqaRt4n1IqQ86PmHKlCn+fYzVVlvNC6gGaf1vv/12S2o+v9t0001zvgciJKIrIjAi6tChQ336/+677553u/h8NI0q5jbFRcv7jx8/3pcymDlzZhtHa/Zn4++y+emnn3yzKrYTh28QE1mD4qsQQgghhBBCCCFEISSiClEmiKb50teDgir8+uuvvhbnhRde2OZvETDz1RLNJTpSlzRIsJYp74OAe8cdd7T5v4ssskjL97PNNlub18XBGhQZC3HggQf6mq6XXnqpd7qSRj/33HPn/Xtqw5pIa+DWReycOHFiixsVkZl9Sgp+Lmjchas2SPbfIryyPbhcr7/++jav8f3337fZH0IIIYQQQgghhBCFUE1UIarA3//+d/fuu+/69HFEwuADwXW55ZbzwuYrr7zS8n9++OEHn/IeBOGPWp/Gxx9/3MpRyfvw3F/+8pc27zP//POH2lbS5xFUqc+aj2222cZvN05c6rtSJ7UQlDL44IMPWgnAu+22m//MuYTlSjj22GO9YEsDrlzuVxp88b64cYUQQgghhBBCCCHCIBFViCpAbU4ckHvttZcbM2aMT61/8sknXe/evb1zEgdmnz59fOr5M88844U+ao+2b9/6EqU5FbVM//Of//gGVYceemgrV+k+++zjXZ877rijT33/7LPPfC3Uo446yjdTCgNCL3VJEUYRIu01qJNqkO7P9p166qneUbrBBhsULX2ASxYh2VhyySXdwIED3eWXX+7fj3IHNHuimRYNrex9SgFX7NVXX+2beeGuxeXKg/c22C8bb7xxKMetEEIIIYQQQgghBEhEFaIKUEf0hRde8IIpzZ1wex5zzDE+Nd2E0osuusiLe6T909Bpo402alNbFdGRZlT83d577+1OOOGEVmn0fD969GgvUO6yyy5ulVVW8eIsNVFJbw8LDlOcoocffrhvPEXDqcmTJ7f6G16XOq4IwcVYaKGF3M4779ymzEDfvn3d8OHD3f/+9z//fgiyuFwRbnG4BptKhQH3LPt4hx128GUS7BFsenXXXXf5zyOEEEIIIYQQQggRlnaZ7AKLQojUQNOkzp07u8suu8ylDRydW2yxhfvqq6/coosuWvTv//vf/7ru3bt7F26uBlvVYNiwYe7444/325Kv7qoQQgghhBBCCCFENnKiCiFKYurUqb40QL9+/dzuu+8eSkCFNddc09c/xWWaFLhpSfmXgCqEEEIIIYQQQohSkJIghCiJO++806fy45C97bbbSvq/1FFNEkoGCCGEEEIIIYQQQpSK0vmFEEIIIYQQQgghhBCiAErnF0IIIYQQQgghhBBCiAJIRBVCCCGEEEIIIYQQQogCSEQVQgghhBBCCCGEEEKIAkhEFUIIIYQQQgghhBBCiAJIRBVCCCGEEEIIIYQQQogCSEQVQgghhBBCCCGEEEKIAkhEFUIIIYQQQgghhBBCiAJIRBVCCCGEEEIIIYQQQgiXn/8PPo+IRf3eIpYAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Compute S11 and realized gain for the inital patch geometry\n", + "smatrix_data_init, theta, realized_gain_init = evaluate_single_antenna(\n", + " patch_init_wh, freqs_s_params, opt_freqs_single_patch\n", + ")\n", + "# Compute S11 and realized gain for the optimized patch geometry\n", + "smatrix_data_final, theta, realized_gain_final = evaluate_single_antenna(\n", + " patch_wh, freqs_s_params, opt_freqs_single_patch\n", + ")\n", + "\n", + "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=0\n", + "plot_phi = 0.0\n", + "plot_antenna_comparison(\n", + " [smatrix_data_init.smatrix(), smatrix_data_final.smatrix()],\n", + " [smatrix_data_init.data, smatrix_data_final.data],\n", + " [realized_gain_init, realized_gain_final],\n", + " opt_freqs_single_patch,\n", + " theta,\n", + " plot_phi,\n", + " sim_names=[\"before optimization\", \"after optimization\"],\n", + " plot_title=f\"Antenna Comparison (phi=0)\",\n", + ")\n", + "\n", + "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=pi / 2\n", + "plot_phi = np.pi / 2.0\n", + "plot_antenna_comparison(\n", + " [smatrix_data_init.smatrix(), smatrix_data_final.smatrix()],\n", + " [smatrix_data_init.data, smatrix_data_final.data],\n", + " [realized_gain_init, realized_gain_final],\n", + " opt_freqs_single_patch,\n", + " theta,\n", + " plot_phi,\n", + " sim_names=[\"before optimization\", \"after optimization\"],\n", + " plot_title=f\"Antenna Comparison (phi=\\u03a0 / 2)\",\n", + ")\n", + "# Save results of optimization\n", + "np.save(\"misc/single_patch_box_antenna_optimization.npy\", patch_wh)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Expanding the Design Space: Optimizing a Patch Antenna with Coupled Passive Radiators\n", + "\n", + "In the next optimization, we optimize a patch antenna for dual-band operation. The appropriate choice of patch width and height for a single radiator doesn't typically require an advanced optimization technique. Based on the patch antenna operating principle, initial values for these parameters can be found and small tweaks or even parameter sweeps can identify geometries with the desired resonant behavior. By optimizing via the adjoint method in the single patch example, we validated we could also optimize the geometry via gradients. However, in cases where there are not intuitive solutions or we would like to take advantage of a larger number of degrees of freedom, the adjoint method becomes increasingly useful. Below, we allow the patch to have a more interesting shape by creating an optimizable inset at the feed connection as well as fin structures on the top antenna edge. Additionally, we add passive radiating structures that couple to the central patch and optimize both their size and relative position to the central patch. The degrees of freedom are indicated in the diagram below, but in summary we move the 2-dimensional patch antenna optimization to one with 18 dimensions.\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "num_passive_radiators = 2\n", + "\n", + "# set min/max patch dimensions for the central and all surrounding patches\n", + "min_patch_dimensions_mm = sum(\n", + " [[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], []\n", + ")\n", + "max_patch_dimensions_mm = sum(\n", + " [[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], []\n", + ")\n", + "\n", + "# set min/max gap between central patch and each surrounding patch\n", + "min_gap_mm = [0.5 * mm for idx in range(0, num_passive_radiators)]\n", + "max_gap_mm = [5 * mm for idx in range(0, num_passive_radiators)]\n", + "\n", + "# set min/max offset of each surrounding patch center relative to the central patch center\n", + "min_offset_mm = [-10 * mm for idx in range(0, num_passive_radiators)]\n", + "max_offset_mm = [10 * mm for idx in range(0, num_passive_radiators)]\n", + "\n", + "# set the min/max of the patch inset (i.e. - how much the central patch surrounds the feed line)\n", + "max_patch_inset = 6 * mm\n", + "min_patch_inset = 1 * mm\n", + "init_patch_inset = 0.5 * (min_patch_inset + max_patch_inset)\n", + "\n", + "# set the min/max of the inset height and the gap between the feed line and the inset\n", + "min_inset_height = 1 * mm\n", + "max_inset_height = 6 * mm\n", + "min_inset_gap = 0.5 * mm\n", + "max_inset_gap = 2.0 * mm\n", + "\n", + "min_inset = [min_inset_height, min_inset_height, min_inset_gap, min_inset_gap]\n", + "max_inset = [max_inset_height, max_inset_height, max_inset_gap, max_inset_gap]\n", + "\n", + "# set the min/max of the fin widths and heights at the top of the central patch\n", + "min_fin_width = 1 * mm\n", + "max_fin_width = 6*mm#10 * mm\n", + "min_fin_height = 1 * mm\n", + "max_fin_height = 6*mm#10 * mm\n", + "\n", + "min_fin = [min_fin_width, min_fin_height, min_fin_width, min_fin_height]\n", + "max_fin = [max_fin_width, max_fin_height, max_fin_width, max_fin_height]\n", + "\n", + "# combine all the min/max values into clipping arrays to use in the optimization\n", + "clip_min_values = min_patch_dimensions_mm + min_gap_mm + min_offset_mm + min_inset + min_fin\n", + "clip_max_values = max_patch_dimensions_mm + max_gap_mm + max_offset_mm + max_inset + max_fin\n", + "\n", + "# set initial passive patch sizes\n", + "min_dim_avg = 0.5 * (patch_min_width + patch_min_height)\n", + "init_passive_wh = [\n", + " min_dim_avg,\n", + " 0.5 * (patch_min_height + patch_max_height),\n", + " min_dim_avg,\n", + " 0.5 * (patch_min_height + patch_max_height),\n", + "]\n", + "\n", + "# set the initial passive patch gaps to the central patch\n", + "init_gap_sizes = [2 * mm for idx in range(0, num_passive_radiators)]\n", + "\n", + "# set the initial passive patch offsets to the fixed central patch center\n", + "init_offset_coord_locations = [0.5 * patch_init_wh[1], 0.5 * patch_init_wh[1]]\n", + "\n", + "# start the central patch at the same initial width/height as in the single patch case\n", + "init_central = list(patch_init_wh.copy())\n", + "\n", + "# collect all the passive parameters\n", + "init_passive = init_passive_wh + init_gap_sizes + init_offset_coord_locations\n", + "\n", + "# initialize inset heights and gaps\n", + "init_inset_height = 3 * mm\n", + "init_inset_gap = 0.75 * mm\n", + "init_inset = [init_inset_height, init_inset_height, init_inset_gap, init_inset_gap]\n", + "\n", + "# initialize fin widths and heights\n", + "init_fin_width = 2.5 * mm\n", + "init_fin_height = 4 * mm\n", + "init_fin = [init_fin_width, init_fin_height, init_fin_width, init_fin_height]\n", + "\n", + "# combine the initial parameters together\n", + "init_params = init_central + init_passive + init_inset + init_fin\n", + "\n", + "assert (\n", + " num_passive_radiators == 2\n", + "), \"The multi patch optimization is set up specifically for 2 passive radiators.\"\n", + "\n", + "def params_to_boxes_multi_patch(params):\n", + " \"\"\"\n", + " Unpack the multi-patch optimization parameters into patch geometries for the central\n", + " patch and the surrounding passive radiating patches.\n", + " \"\"\" \n", + " inset_height_left = params[-8]\n", + " inset_height_right = params[-7]\n", + " inset_gap_left = params[-6]\n", + " inset_gap_right = params[-5]\n", + "\n", + " fin_left_width = params[-4]\n", + " fin_left_height = params[-3]\n", + " fin_right_width = params[-2]\n", + " fin_right_height = params[-1]\n", + "\n", + " num_params_wh_central = 2\n", + " wh_central = params[0:num_params_wh_central]\n", + "\n", + " wh_passive_params = params[num_params_wh_central:]\n", + " num_params_wh_passive = 2\n", + "\n", + " wh_passive = []\n", + " for idx in range(0, num_passive_radiators):\n", + " wh_passive.append(\n", + " wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)]\n", + " )\n", + "\n", + " gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators :]\n", + " gaps = gap_params[0:num_passive_radiators]\n", + "\n", + " offset_params = gap_params[num_passive_radiators:]\n", + " offset_coords = offset_params[0:num_passive_radiators]\n", + "\n", + " left_central = -0.5 * wh_central[0]\n", + " right_central = 0.5 * wh_central[0]\n", + "\n", + " left_passive_patch_idx = 0\n", + " right_passive_patch_idx = 1\n", + "\n", + " left_passive_right = left_central - gaps[left_passive_patch_idx]\n", + " left_passive_left = left_passive_right - wh_passive[left_passive_patch_idx][0]\n", + " left_passive_bottom = (\n", + " offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n", + " )\n", + " left_passive_top = (\n", + " offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n", + " )\n", + "\n", + " right_passive_left = right_central + gaps[right_passive_patch_idx]\n", + " right_passive_right = right_passive_left + wh_passive[right_passive_patch_idx][0]\n", + " right_passive_bottom = (\n", + " offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n", + " )\n", + " right_passive_top = (\n", + " offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n", + " )\n", + "\n", + " inset_left = td.Box.from_bounds(\n", + " [-0.5 * wh_central[0], -inset_height_left, sub_z / 2.0],\n", + " [feed_offset - 0.5 * feed_x - inset_gap_left, 0.0, sub_z / 2.0],\n", + " )\n", + "\n", + " inset_right = td.Box.from_bounds(\n", + " [feed_offset + 0.5 * feed_x + inset_gap_right, -inset_height_right, sub_z / 2.0],\n", + " [0.5 * wh_central[0], 0, sub_z / 2.0],\n", + " )\n", + "\n", + " fin_left = td.Box.from_bounds(\n", + " [-0.5 * wh_central[0], wh_central[1], sub_z / 2.0],\n", + " [-0.5 * wh_central[0] + fin_left_width, wh_central[1] + fin_left_height, sub_z / 2.0],\n", + " )\n", + "\n", + " fin_right = td.Box.from_bounds(\n", + " [0.5 * wh_central[0] - fin_right_width, wh_central[1], sub_z / 2.0],\n", + " [0.5 * wh_central[0], wh_central[1] + fin_right_height, sub_z / 2.0],\n", + " )\n", + "\n", + " boxes = [\n", + " # central patch\n", + " td.Box.from_bounds(\n", + " [-0.5 * wh_central[0], 0, sub_z / 2], [0.5 * wh_central[0], wh_central[1], sub_z / 2]\n", + " ),\n", + " # inset patches\n", + " inset_left,\n", + " inset_right,\n", + " # fin patches\n", + " fin_left,\n", + " fin_right,\n", + " # passive patches\n", + " td.Box.from_bounds(\n", + " [left_passive_left, left_passive_bottom, sub_z / 2],\n", + " [left_passive_right, left_passive_top, sub_z / 2],\n", + " ),\n", + " td.Box.from_bounds(\n", + " [right_passive_left, right_passive_bottom, sub_z / 2],\n", + " [right_passive_right, right_passive_top, sub_z / 2],\n", + " ),\n", + " ]\n", + "\n", + " return boxes\n", + "\n", + "\n", + "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", + "plot_structures_and_mesh(\n", + " params_to_boxes_multi_patch(init_params), sub_x_multi_patch, sub_y_multi_patch\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Similar to the single patch case, we set up a function to evaluate the performance of the antenna during and after the optimization." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "# Helper function for evaluating antenna performance for the multi patch geometry\n", + "evaluate_multi_antenna = lambda patch_params, eval_s_params_freqs, opt_freqs: (\n", + " evaluate_antenna(\n", + " params_to_boxes_multi_patch(patch_params),\n", + " eval_s_params_freqs,\n", + " opt_freqs,\n", + " sub_x_multi_patch,\n", + " sub_y_multi_patch,\n", + " )\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we set up monitors for computing the figures of merit and then run the antenna optimization." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
16:13:17 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:13:17 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:17:26 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:17:26 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 1\n",
+       "        Figure of merit: 0.19\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 1\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.19\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 2\n",
+       "        Figure of merit: 0.22\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 2\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.22\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 3\n",
+       "        Figure of merit: 0.23\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 3\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.23\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 4\n",
+       "        Figure of merit: 0.24\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 4\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.24\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 5\n",
+       "        Figure of merit: 0.25\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 5\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.25\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 6\n",
+       "        Figure of merit: 0.26\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 6\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.26\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 7\n",
+       "        Figure of merit: 0.27\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 7\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.27\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 8\n",
+       "        Figure of merit: 0.28\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 8\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.28\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 9\n",
+       "        Figure of merit: 0.29\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 9\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.29\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 10\n",
+       "        Figure of merit: 0.30\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 10\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.30\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:33:48 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:33:48 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 11\n",
+       "        Figure of merit: 0.30\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 11\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.30\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 12\n",
+       "        Figure of merit: 0.31\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 12\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.31\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 13\n",
+       "        Figure of merit: 0.34\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 13\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.34\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 14\n",
+       "        Figure of merit: 0.35\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 14\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.35\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 15\n",
+       "        Figure of merit: 0.36\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 15\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.36\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 16\n",
+       "        Figure of merit: 0.37\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 16\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.37\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 17\n",
+       "        Figure of merit: 0.38\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 17\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.38\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 18\n",
+       "        Figure of merit: 0.38\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 18\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.38\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 19\n",
+       "        Figure of merit: 0.41\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 19\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.41\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 20\n",
+       "        Figure of merit: 0.43\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 20\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.43\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
17:22:09 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m17:22:09 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 21\n",
+       "        Figure of merit: 0.45\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 21\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.45\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 22\n",
+       "        Figure of merit: 0.47\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 22\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.47\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 23\n",
+       "        Figure of merit: 0.51\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 23\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.51\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 24\n",
+       "        Figure of merit: 0.63\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 24\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.63\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 25\n",
+       "        Figure of merit: 0.73\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 25\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.73\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 26\n",
+       "        Figure of merit: 0.84\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 26\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.84\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 27\n",
+       "        Figure of merit: 0.95\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 27\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.95\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 28\n",
+       "        Figure of merit: 1.10\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 28\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.10\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 29\n",
+       "        Figure of merit: 1.37\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 29\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.37\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 30\n",
+       "        Figure of merit: 1.69\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 30\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.69\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
17:43:44 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m17:43:44 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 31\n",
+       "        Figure of merit: 2.12\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 31\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.12\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 32\n",
+       "        Figure of merit: 2.40\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 32\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.40\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 33\n",
+       "        Figure of merit: 2.94\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 33\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.94\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 34\n",
+       "        Figure of merit: 3.45\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 34\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.45\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 35\n",
+       "        Figure of merit: 3.58\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 35\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.58\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 36\n",
+       "        Figure of merit: 4.03\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 36\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4.03\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 37\n",
+       "        Figure of merit: 4.53\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 37\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4.53\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 38\n",
+       "        Figure of merit: 5.49\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 38\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m5.49\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 39\n",
+       "        Figure of merit: 6.34\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 39\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m6.34\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 40\n",
+       "        Figure of merit: 7.63\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 40\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.63\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
18:14:02 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m18:14:02 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 41\n",
+       "        Figure of merit: 8.97\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 41\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.97\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 42\n",
+       "        Figure of merit: 10.76\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 42\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m10.76\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 43\n",
+       "        Figure of merit: 11.38\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 43\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m11.38\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 44\n",
+       "        Figure of merit: 12.26\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 44\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m12.26\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 45\n",
+       "        Figure of merit: 15.23\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 45\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m15.23\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 46\n",
+       "        Figure of merit: 16.74\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 46\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m16.74\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 47\n",
+       "        Figure of merit: 18.56\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 47\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m18.56\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 48\n",
+       "        Figure of merit: 22.44\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 48\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.44\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 49\n",
+       "        Figure of merit: 23.17\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 49\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.17\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 50\n",
+       "        Figure of merit: 24.39\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 50\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m24.39\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
18:46:48 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m18:46:48 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 51\n",
+       "        Figure of merit: 26.53\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 51\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m26.53\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 52\n",
+       "        Figure of merit: 29.28\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 52\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m29.28\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 53\n",
+       "        Figure of merit: 31.02\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 53\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m31.02\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 54\n",
+       "        Figure of merit: 32.11\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 54\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m32.11\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 55\n",
+       "        Figure of merit: 33.37\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 55\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m33.37\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 56\n",
+       "        Figure of merit: 36.23\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 56\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m36.23\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 57\n",
+       "        Figure of merit: 37.43\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 57\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m37.43\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 58\n",
+       "        Figure of merit: 37.84\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 58\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m37.84\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 59\n",
+       "        Figure of merit: 37.48\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 59\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m37.48\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 60\n",
+       "        Figure of merit: 36.68\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 60\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m36.68\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
19:16:06 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m19:16:06 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 61\n",
+       "        Figure of merit: 38.56\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 61\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m38.56\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 62\n",
+       "        Figure of merit: 39.94\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 62\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m39.94\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 63\n",
+       "        Figure of merit: 40.07\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 63\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m40.07\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 64\n",
+       "        Figure of merit: 41.52\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 64\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m41.52\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Iteration 65\n",
+       "        Figure of merit: 41.71\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 65\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m41.71\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
19:29:59 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m19:29:59 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# whether or not to restart the optimization from the current saved checkpoint\n", + "restart_optimization = False\n", + "restart_fname = 'misc/rf_autograd_1_multi_patch_opt_state.pkl'\n", + "\n", + "# Set up the multi patch radiation monitor sizes\n", + "obj_fn_monitor_dim_multi_patch = 2.0 * np.mean(patch_init_wh)\n", + "obj_fn_monitor_center_y_multi_patch = 0.5 * patch_init_wh[1]\n", + "\n", + "directivity_center_x = np.mean(sub_x_multi_patch)\n", + "directivity_center_y = np.mean(sub_y_multi_patch)\n", + "directivity_size_x = 5 * mm + sub_x_multi_patch[1] - sub_x_multi_patch[0] # Ensure mm is defined\n", + "directivity_size_y = 5 * mm + sub_y_multi_patch[1] - sub_y_multi_patch[0] # Ensure mm is defined\n", + "\n", + "monitor_directivity = td.DirectivityMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0],\n", + " size=(\n", + " directivity_size_x,\n", + " directivity_size_y,\n", + " 4 * mm, # Ensure mm is defined\n", + " ),\n", + " freqs=opt_freqs_multi_patch,\n", + " name=\"directivity\",\n", + " phi=list(phi),\n", + " theta=list(theta),\n", + " far_field_approx=True,\n", + ")\n", + "\n", + "monitor_radiation = td.FieldMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs_multi_patch,\n", + " name=\"radiation\",\n", + ")\n", + "\n", + "monitor_far_field = td.FieldProjectionAngleMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs_multi_patch,\n", + " name=\"far_field\",\n", + " phi=phi_opt,\n", + " theta=theta_opt,\n", + " far_field_approx=True,\n", + " proj_distance=50 * wavelength0,\n", + ")\n", + "\n", + "multi_patch_optimization_monitors = [monitor_directivity, monitor_radiation, monitor_far_field]\n", + "\n", + "initial_poynting_flux, initial_s11 = compute_poynting_and_s11(\n", + " init_params,\n", + " params_to_boxes_multi_patch,\n", + " sub_x_multi_patch,\n", + " sub_y_multi_patch,\n", + " multi_patch_optimization_monitors,\n", + " opt_freqs_multi_patch,\n", + ")\n", + "\n", + "# set up the objective function for the multi patch optimization that is a function\n", + "# of all of the above width/height, gap, and offset parameters\n", + "obj_fn = lambda patch_params: objective_fn(\n", + " patch_params,\n", + " params_to_boxes_multi_patch,\n", + " sub_x_multi_patch,\n", + " sub_y_multi_patch,\n", + " multi_patch_optimization_monitors,\n", + " opt_freqs_multi_patch,\n", + " initial_poynting_flux,\n", + ")\n", + "\n", + "obj_val_and_grad = value_and_grad(obj_fn)\n", + "\n", + "# initialize patch parameters\n", + "patch_params = anp.array(init_params.copy())\n", + "\n", + "# set up optimization parameters and optimizer\n", + "learning_rate = 30\n", + "optimizer = optax.adam(learning_rate=learning_rate)\n", + "opt_state = optimizer.init(patch_params)\n", + "\n", + "num_steps = 65\n", + "print_iteration_frequency = 1\n", + "\n", + "full_eval_frequency = 10\n", + "s11_sq_dB_evolution_multi = []\n", + "s11_f_ghz_multi = None\n", + "realized_gain_evolution_multi = []\n", + "theta_eval_evolution_multi = None\n", + "\n", + "figure_of_merit_multi_patch = np.zeros(num_steps + 1)\n", + "\n", + "def pack_optimization_state(iter_idx):\n", + " optimization_state['iteration'] = iter_idx\n", + " optimization_state['figure of merit'] = figure_of_merit_multi_patch\n", + " optimization_state['realized gain evolution'] = realized_gain_evolution_multi\n", + " optimization_state['opt state'] = opt_state\n", + " optimization_state['patch parameters'] = patch_params\n", + " \n", + "optimization_state = {}\n", + "if not os.path.exists(restart_fname):\n", + " pack_optimization_state(iter_idx=0)\n", + "\n", + "if restart_optimization:\n", + " with open(restart_fname, 'rb') as file:\n", + " optimization_state = pickle.load(file)\n", + "\n", + "start_idx = 0\n", + "if restart_optimization:\n", + " start_idx = optimization_state['iteration']\n", + " figure_of_merit_multi_patch = optimization_state['figure of merit']\n", + " realized_gain_evolution_multi = optimization_state['realized gain evolution']\n", + " opt_state = optimization_state['opt state']\n", + " patch_params = optimization_state['patch parameters']\n", + "\n", + "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", + "# at each step and clipping the design on the bounds\n", + "for step_idx in range(start_idx, num_steps):\n", + " pack_optimization_state(iter_idx=step_idx)\n", + " with open(restart_fname, \"wb\") as file:\n", + " pickle.dump(optimization_state, file)\n", + "\n", + " f, g = obj_val_and_grad(patch_params)\n", + "\n", + " figure_of_merit_multi_patch[step_idx] = float(f)\n", + "\n", + " if (step_idx % full_eval_frequency) == 0:\n", + " smatrix_eval_data, theta_eval, realized_gain = evaluate_multi_antenna(\n", + " patch_params, freqs_s_params, opt_freqs_multi_patch\n", + " )\n", + " smatrix_eval = smatrix_eval_data.smatrix()\n", + " smatrix_f_ghz = smatrix_eval.data.coords[\"f\"] / 1e9\n", + " s11_f_ghz_multi = smatrix_f_ghz.copy()\n", + " s11_data_selection = smatrix_eval.data.isel(port_out=0, port_in=0)\n", + " s11_sq_dB_evolution_multi.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", + "\n", + " realized_gain_evolution_multi.append(\n", + " {\n", + " \"Gtheta\" : realized_gain[\"Gtheta\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", + " \"Gphi\" : realized_gain[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values\n", + " } \n", + " )\n", + " theta_eval_evolution_multi = theta_eval.copy()\n", + " \n", + " updates, opt_state = optimizer.update(-g, opt_state, patch_params)\n", + "\n", + " patch_params = optax.apply_updates(patch_params, updates)\n", + " patch_params = anp.array(patch_params)\n", + " patch_params = anp.clip(patch_params, a_min=clip_min_values, a_max=clip_max_values)\n", + "\n", + " if (step_idx % print_iteration_frequency) == 0:\n", + " # We don't print all of the optimization parameters below to reduce clutter\n", + " output_text = Text.assemble(\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", + " \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"),\n", + " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", + " )\n", + " console.print(output_text)\n", + "\n", + "figure_of_merit_multi_patch[num_steps] = obj_fn(patch_params)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After the optimization, we can plot the figure of merit and compare the optimized antenna geometry to the initial antenna geometry. We can see that the optimization made a significant amount of changes to the antenna structure to realize dual-band operation. Similar to the above optimization, we also plot the evolution of the `S11` parameter and realized gain throughout the optimization." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the results of the optimization including the optimization trajectory and the resulting geometry of the\n", + "# central and surrounding patches compared to the initial state\n", + "plot_optimization_results(\n", + " figure_of_merit_multi_patch,\n", + " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", + " params_to_boxes_multi_patch(init_params),\n", + " params_to_boxes_multi_patch(patch_params),\n", + ")\n", + "\n", + "# Plot the evolution of the antenna S11 and realized gain during the course of the optimization\n", + "plot_antenna_evolution(s11_sq_dB_evolution_multi, s11_f_ghz_multi, realized_gain_evolution_multi, opt_freqs_multi_patch, theta_eval_evolution_multi)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also compare the S11 and realized gain for the final optimization state with that of the initial state. On the S11 plot, we indicate the frequencies that were optimized for. We can see from the S11 spectrum and realized gain plots a significant improvement at both optimization frequencies." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
19:31:48 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m19:31:48 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
19:33:55 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m19:33:55 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# compute S11 and realized gain for the inital multi patch geometry\n", + "smatrix_data_init, theta, realized_gain_init = evaluate_multi_antenna(\n", + " init_params, freqs_s_params, opt_freqs_multi_patch\n", + ")\n", + "# compute S11 and realized gain for the optimized multi patch geometry\n", + "smatrix_data_final, theta, realized_gain_final = evaluate_multi_antenna(\n", + " patch_params, freqs_s_params, opt_freqs_multi_patch\n", + ")\n", + "\n", + "# plot the comparison in S11 and gain for the initial and optimized antennas for phi=0\n", + "plot_phi = 0.0\n", + "plot_antenna_comparison(\n", + " [smatrix_data_init.smatrix(), smatrix_data_final.smatrix()],\n", + " [smatrix_data_init.data, smatrix_data_final.data],\n", + " [realized_gain_init, realized_gain_final],\n", + " opt_freqs_multi_patch,\n", + " theta,\n", + " plot_phi,\n", + " sim_names=[\"before optimization\", \"after optimization\"],\n", + " plot_title=f\"Antenna Comparison (plot_phi=0)\",\n", + ")\n", + "\n", + "# plot the comparison in S11 and gain for the initial and optimized antennas for phi=pi / 2\n", + "plot_phi = np.pi / 2.0\n", + "plot_antenna_comparison(\n", + " [smatrix_data_init.smatrix(), smatrix_data_final.smatrix()],\n", + " [smatrix_data_init.data, smatrix_data_final.data],\n", + " [realized_gain_init, realized_gain_final],\n", + " opt_freqs_multi_patch,\n", + " theta,\n", + " plot_phi,\n", + " sim_names=[\"before optimization\", \"after optimization\"],\n", + " plot_title=f\"Antenna Comparison (plot_phi=\\u03a0 / 2)\",\n", + ")\n", + "\n", + "# Save results of optimization\n", + "np.save(\"misc/multi_patch_box_antenna_optimization.npy\", patch_params)" + ] + } + ], + "metadata": { + "description": "Patch antennas are widely used in wireless communication applications due to their simple design, ease of fabrication, and low profile. In this notebook, we will demonstrate how to use Tidy3D to simulate a rectangular patch antenna and compute key performance metrics. These include S-parameters using the TerminalComponentModeler, as well as directivity, axial ratio, and polarized far-field components using the DirectivityMonitor.", + "feature_image": "./img/PatchAntenna.png", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "keywords": "patch antenna, directivity, axial ratio, S-parameters, Tidy3d, FDTD", + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.2" + }, + "title": "How to compute directivity and S-parameters of patch antenna using Tidy3D FDTD" + }, + "nbformat": 4, + "nbformat_minor": 4 +} From af13490c7ea677966f6e3099c3c41714ba147e17 Mon Sep 17 00:00:00 2001 From: Gregory Roberts Date: Wed, 17 Sep 2025 20:06:12 -0400 Subject: [PATCH 8/9] review comments round 1 --- RFAutograd1RectangularPatchAntenna.ipynb | 3409 ++++++---------------- 1 file changed, 860 insertions(+), 2549 deletions(-) diff --git a/RFAutograd1RectangularPatchAntenna.ipynb b/RFAutograd1RectangularPatchAntenna.ipynb index 2995e5ae..2e31ede4 100644 --- a/RFAutograd1RectangularPatchAntenna.ipynb +++ b/RFAutograd1RectangularPatchAntenna.ipynb @@ -12,12 +12,19 @@ "source": [ "# Adjoint Optimization of Rectangular Patch Antennas\n", "\n", - "In the [Antenna Characteristics](https://www.flexcompute.com/tidy3d/examples/notebooks/AntennaCharacteristics/) notebook, we introduce the characterization of a rectangular patch antenna using the RF solver. If we were to design that patch antenna for a specific application, we would have two parameters to optimize: the patch width and height. By tuning these parameters, we could search for a structure that is resonant at a desired frequency and is impedance-matched to the antenna feed line. However, to overcome traditional limitations of patch antennas, many designers move beyond the two-parameter rectangular restriction and design antennas that have larger bandwidth or special characteristics, like circular polarization. For example, in the [Circularly Polarized Patch Antenna](https://www.flexcompute.com/tidy3d/examples/notebooks/CircularlyPolarizedPatchAntenna/) notebook, we reproduce a patch antenna simulation from the literature that achieves a low-profile design of circularly polarized radiation via a non-rectangular radiator surrounded by rectangular parasitic strips. As the antenna shape becomes more arbitrary and complex and as the number of supporting structures grows, a designer may want to use a method that directly optimizes across all of the parameters simulataneously. In tidy3d, we can do this via gradient-based optimizations powered by the adjoint method and made accessible through automatic differentiation (autograd). In this notebook, we first demonstrate the simplest patch antenna optimization where we find the optimal width and height of a patch based on the desired radiation frequency. In this optimization (and the second one as well), we fix the substrate material and thickness and focus our design efforts on the antenna shape. For the second example, we show how to optimize an antenna for dual-band operation by introducing an optimizable inset, fins, and passive radiating structures around the central patch. Here, the size of the optimization problem is increased and the optimizer simultaneously tunes the dimensions and positions of all of the structures. We show these two optimization geometries below. In both cases, we are optimizing the patch shape on top of a substrate and ground plane. The antennas are excited by an offset feed line and radiate into free space. In the middle, we show the simple patch geometry where the optimization parameters are just the patch width and height. On the right, we show the higher dimensional optimization where the geometric parameters and relative positions for multiple patches can be optimized simultaneously.\n", + "This notebook demonstrates the use of inverse design for the optimization of antennas. A simple rectangular patch antenna, as explored in our [Antenna Characteristics](https://www.flexcompute.com/tidy3d/examples/notebooks/AntennaCharacteristics/) notebook, is primarily defined by two parameters: its width and height. These are tuned to make the antenna resonate at a desired frequency and match the impedance of the feed line. However, to achieve wider bandwidth or specialized features like circular polarization, designers often move beyond simple rectangular shapes. For instance our [Circularly Polarized Patch Antenna](https://www.flexcompute.com/tidy3d/examples/notebooks/CircularlyPolarizedPatchAntenna/) notebook reproduces a non-rectangular radiator with parasitic strips to produce circularly polarized radiation.\n", + "\n", + "As antenna geometries become more intricate, the number of design parameters can increase dramatically, making traditional optimization methods inefficient. This notebook demonstrates a more powerful approach using gradient-based optimization in Tidy3D. This technique, enabled by the adjoint method and automatic differentiation (autograd), allows for the efficient and simultaneous optimization of all geometric parameters, also known as inverse design. We will illustrate this process with two examples:\n", + "1. A straightforward optimization to find the ideal width and height of a rectangular patch antenna for a single target frequency.\n", + "2. A more complex antenna for dual-band operation consisting of an optimizable inset, fins, and passive radiating elements. The optimizer simultaneously tunes the dimensions and positions of all structures to make the antenna resonant and matched at two design frequencies.\n", + "In both cases, we hold the substrate material and thickness constant, focusing exclusively on optimizing the antenna's shape.\n", + "\n", + "The two optimization geometries are shown below. Both antennas consist of a metallic patch on a substrate with a ground plane, are excited by an offset feed line, and radiate into free space. The first design is a simple rectangle defined by its width and height, while the second, more complex design involves optimizing the dimensions and relative positions of multiple structures at once.\n", "\n", "
\n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", "
" ] }, @@ -36,8 +43,6 @@ "# Tidy3d import and set logging level\n", "import tidy3d as td\n", "\n", - "td.config.logging_level = \"ERROR\"\n", - "\n", "# External modules needed for this notebook\n", "import numpy as np\n", "import autograd.numpy as anp\n", @@ -59,8 +64,8 @@ "\n", "# Setup console and printing parameters for rich printing during optimization loops\n", "console = Console()\n", - "print_decimal_places = 2\n", - "num_optimization_prints = 10" + "print_decimal_places = 2 # how many decimal places to use in printing\n", + "print_iteration_frequency = 5 # how often to print optimization progress" ] }, { @@ -69,7 +74,7 @@ "source": [ "## Configuration and Parameters\n", "\n", - "In this first section, we set up a variety of parameters for the optimization problems, including the frequency bands and resonance targets as well as useful geometric parameters. Similar to other RF examples, we introduce a scaling factor to convert the default unit in Tidy3D of micrometers to millimeters (mm), which is more commonly used in antenna simulations. Thus, the default unit when looking at constants in this notebook is millimeters." + "In this first section, we set up a variety of parameters for the optimization problems, including the frequency bands (specified in Hz) and resonance targets as well as useful geometric parameters. Similar to other RF examples, we introduce a scaling factor to convert the default unit in Tidy3D of micrometers to millimeters (mm), which is more commonly used in antenna simulations. Thus, the default unit when looking at constants in this notebook is millimeters." ] }, { @@ -94,7 +99,6 @@ "\n", "sub_x_single_patch = [-0.5 * single_patch_sub_width, 0.5 * single_patch_sub_width]\n", "sub_y_single_patch = [-feed_y, single_patch_sub_height_extension]\n", - "sub_z = 0.794 * mm\n", "sub_z = 0.68 * mm\n", "\n", "multi_patch_sub_width = 3 * 23.34 * mm\n", @@ -103,7 +107,7 @@ "sub_x_multi_patch = [-0.5 * multi_patch_sub_width, 0.5 * multi_patch_sub_width]\n", "sub_y_multi_patch = [-feed_y, multi_patch_sub_height_extension]\n", "\n", - "# frequency range\n", + "# frequency range (Hz)\n", "freq_start = 7e9\n", "freq_stop = 11e9\n", "freq_bounds = [freq_start, freq_stop]\n", @@ -127,7 +131,7 @@ "# materials for optimization\n", "air = td.Medium() # set up the antennas so they radiate into air\n", "# choose common PCB material, ArlonAD255C, from the RF material library to use as substrate\n", - "sub_medium = rf_material_library['AD255C']['design']\n", + "sub_medium = rf_material_library[\"AD255C\"][\"design\"]\n", "PEC = td.PEC2D # thickness-free PEC medium for antenna patches, feed lines, and the ground plane" ] }, @@ -216,7 +220,7 @@ " grid_spec=td.GridSpec.auto(\n", " min_steps_per_wvl=20, # largest cell size is set to 20 cells per smallest wavelength.\n", " wavelength=td.C_0 / freq_stop, # smallest wavelength to resolve\n", - " override_structures=mesh_overrides, # override the mesh around the antenna and feed for accuracy\n", + " override_structures=mesh_overrides, # override the mesh around the antenna and feed for accuracy\n", " ),\n", " structures=structures_list,\n", " sources=[], # sources will be added by TerminalComponentModeler\n", @@ -408,8 +412,7 @@ " )\n", " smatrix_data = run(modeler, task_name=\"smatrix\", verbose=False)\n", "\n", - " antenna_parameters_freq = smatrix_data.get_antenna_metrics_data(\n", - " monitor_name=\"directivity\")\n", + " antenna_parameters_freq = smatrix_data.get_antenna_metrics_data(monitor_name=\"directivity\")\n", " partial_realized_gain = antenna_parameters_freq.partial_realized_gain(pol_basis=\"linear\")\n", "\n", " return smatrix_data, theta, partial_realized_gain" @@ -465,7 +468,7 @@ "\n", " alphas = [0.5, 1.0] # Alpha for sim1, sim2\n", " if sim_names is None or len(sim_names) != num_simulations:\n", - " sim_names = [f\"Sim {i+1}\" for i in range(num_simulations)]\n", + " sim_names = [f\"Sim {i + 1}\" for i in range(num_simulations)]\n", "\n", " grid_spec_cols = 3 # S11 and realized gain for each polarization side-by-side\n", " fig_width = grid_spec_cols * 4.5\n", @@ -530,7 +533,7 @@ " base_color = color_cycle[freq_idx % len(color_cycle)]\n", " if single_color_gain_plots:\n", " base_color = color_cycle[0]\n", - " freq_label_for_legend = f\"{eval_freq/1e9:.2f} GHz\"\n", + " freq_label_for_legend = f\"{eval_freq / 1e9:.2f} GHz\"\n", "\n", " # Plot data for each simulation for the current frequency\n", " for sim_idx in range(num_simulations):\n", @@ -613,7 +616,7 @@ " ax_polar = fig.add_subplot(gs[0, grid_col], projection=\"polar\")\n", " axs_list.append(ax_polar)\n", " ax_polar.set_title(f\"Realized Gain for {pol_component}\")\n", - " \n", + "\n", " ax_polar.set_theta_direction(-1)\n", " ax_polar.set_theta_offset(np.pi / 2.0)\n", " ax_polar.grid(True)\n", @@ -621,18 +624,17 @@ "\n", " for idx in range(0, num_lines):\n", " partial_realized_gain_batch = partial_realized_gain[idx][pol_component]\n", - " partial_realized_gain_batch = np.reshape(partial_realized_gain_batch, (len(gain_freqs), len(theta)))\n", - " \n", + " partial_realized_gain_batch = np.reshape(\n", + " partial_realized_gain_batch, (len(gain_freqs), len(theta))\n", + " )\n", + "\n", " for freq_idx in range(0, len(gain_freqs)):\n", " gain_values_for_plot = partial_realized_gain_batch[freq_idx]\n", - " \n", + "\n", " ax_polar.plot(\n", - " theta,\n", - " gain_values_for_plot,\n", - " color=color_cycle[freq_idx],\n", - " alpha=alphas[idx]\n", + " theta, gain_values_for_plot, color=color_cycle[freq_idx], alpha=alphas[idx]\n", " )\n", - " \n", + "\n", " ax_polar.set_title(title)\n", "\n", " add_polar_sequence(1, \"Gtheta\", f\"Realized Gain\\n(Gtheta), phi=0\")\n", @@ -645,7 +647,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We set up a function to plot the figure of merit trajectory of the optimziation and compare the initial and final antenna geometries. This is an indication of how well the optimization worked as well as a demonstration of the overall change that occurred over the course of the optimization. For the single patch antenna, these changes are small and show a tuning of the width and height, but we will see in the higher-dimensional optimization that the central and surrounding patches change significantly while optimizing for a dual band figure of merit." + "We set up a function to plot the figure of merit trajectory of the optimization and compare the initial and final antenna geometries. This is an indication of how well the optimization worked as well as a demonstration of the overall change that occurred over the course of the optimization. For the single patch antenna, these changes are small and show a tuning of the width and height, but we will see in the higher-dimensional optimization that the central and surrounding patches change significantly while optimizing for a dual band figure of merit." ] }, { @@ -812,7 +814,7 @@ " the `optimization_monitors`, the far fields are computed\n", " are,\n", " the antenna simulation is run with the Poynting flux being computed with angular components\n", - " \n", + "\n", " \"\"\"\n", " base_sim = create_base_sim(sub_x_bounds, sub_y_bounds)\n", "\n", @@ -901,7 +903,8 @@ " sub_x_bounds,\n", " sub_y_bounds,\n", " optimization_monitors,\n", - " opt_freqs)\n", + " opt_freqs,\n", + " )\n", "\n", " fom_by_freq = []\n", " for freq in opt_freqs:\n", @@ -910,7 +913,7 @@ " )\n", "\n", " s11 = np.abs(smatrix.data.isel(port_out=0, port_in=0).sel(f=freq).data)\n", - " \n", + "\n", " fom = (1 - np.abs(s11) ** 2) * directivity_metric\n", " fom_by_freq.append(fom)\n", "\n", @@ -934,81 +937,19 @@ "cell_type": "code", "execution_count": 11, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def params_to_boxes_single_patch(patch_params):\n", - " \"\"\"Convert single patch parameters into patch geometry.\"\"\"\n", - "\n", - " patch_wh = patch_params[0:2]\n", - "\n", - " main_patch = td.Box.from_bounds(\n", - " [-0.5 * patch_wh[0], 0.0, sub_z / 2.0], [0.5 * patch_wh[0], patch_wh[1], sub_z / 2.0]\n", - " )\n", - "\n", - " return [main_patch]\n", - "\n", - "\n", - "# set an initial width and height for the patch\n", - "patch_init_width = 12.45 * mm\n", - "patch_init_height = 16 * mm\n", - "patch_init_wh = anp.array([patch_init_width, patch_init_height])\n", - "\n", - "# set the min/max for the patch width and height to use to bound these parameters in the optimization\n", - "patch_min_width = 8 * mm\n", - "patch_min_height = 8 * mm\n", - "\n", - "patch_max_width = 18 * mm\n", - "patch_max_height = 24 * mm\n", - "\n", - "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", - "plot_structures_and_mesh(\n", - " params_to_boxes_single_patch(patch_init_wh), sub_x_single_patch, sub_y_single_patch\n", - ")\n", - "# Helper function for evaluating antenna performance for a single patch\n", - "evaluate_single_antenna = lambda patch_wh, eval_s_params_freqs, opt_freqs: (\n", - " evaluate_antenna(\n", - " params_to_boxes_single_patch(patch_wh),\n", - " eval_s_params_freqs,\n", - " opt_freqs,\n", - " sub_x_single_patch,\n", - " sub_y_single_patch,\n", - " )\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we set up and run the optimization. We create the monitors to capture the far field radiation and solve for the initial flux into the target radiation angular components. Then, we configure the optimizer which we can also load from a saved checkpoint by toggling the `restart_optimization` flag if we get interrupted in the middle. Finally, we run the optimization and capture the figure of merit and other interesting quantities along the way." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "scrolled": true - }, "outputs": [ { "data": { "text/html": [ - "
14:53:38 EDT Component modeler batch validation has been successful.            \n",
+       "
15:51:42 EDT WARNING: ℹ️ ⚠️ RF simulations are subject to new license requirements\n",
+       "             in the future. You have instantiated at least one RF-specific      \n",
+       "             component.                                                         \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m14:53:38 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + "\u001b[2;36m15:51:42 EDT\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: ℹ️ ⚠️ RF simulations are subject to new license requirements\u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31min the future. You have instantiated at least one RF-specific \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mcomponent. \u001b[0m\n" ] }, "metadata": {}, @@ -1017,11 +958,15 @@ { "data": { "text/html": [ - "
14:55:13 EDT Component modeler batch validation has been successful.            \n",
+       "
             WARNING: ℹ️ ⚠️ The TerminalComponentModeler class was refactored in  \n",
+       "             tidy3d version 2.10. Migration documentation will be provided, and \n",
+       "             existing functionality can be accessed in a different way.         \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m14:55:13 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: ℹ️ ⚠️ The TerminalComponentModeler class was refactored in \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mtidy3d version \u001b[0m\u001b[1;36m2.10\u001b[0m\u001b[31m. Migration documentation will be provided, and \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mexisting functionality can be accessed in a different way. \u001b[0m\n" ] }, "metadata": {}, @@ -1030,19 +975,17 @@ { "data": { "text/html": [ - "
Iteration 1\n",
-       "        Gradient (width, height): -0.00003814, -0.00001\n",
-       "        Updates (width, height): -29.99194527, -29.97\n",
-       "        Params (width, height): 12420.00781250, 15970.03\n",
-       "        Figure of merit:          0.10\n",
+       "
             WARNING:  ℹ️ ⚠️ RF simulations are subject to new license            \n",
+       "             requirements in the future. You are using RF-specific components in\n",
+       "             this simulation.                                                   \n",
+       "              - Contains a 'LumpedElement'.                                     \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 1\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00003814, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.99194527, -29.97\u001b[0m\n", - " Params (width, height): \u001b[34m12420.00781250, 15970.03\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.10\u001b[0m\n" + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: ℹ️ ⚠️ RF simulations are subject to new license \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mrequirements in the future. You are using RF-specific components in\u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mthis simulation. \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31m - Contains a \u001b[0m\u001b[32m'LumpedElement'\u001b[0m\u001b[31m. \u001b[0m\n" ] }, "metadata": {}, @@ -1051,19 +994,19 @@ { "data": { "text/html": [ - "
Iteration 2\n",
-       "        Gradient (width, height): -0.00002753, -0.00001\n",
-       "        Updates (width, height): -29.07702255, -30.10\n",
-       "        Params (width, height): 12390.93066406, 15939.93\n",
-       "        Figure of merit:          0.10\n",
+       "
             WARNING:  ℹ️ ⚠️ RF simulations are subject to new license            \n",
+       "             requirements in the future. You are using RF-specific components in\n",
+       "             this simulation.                                                   \n",
+       "              - Contains a 'LumpedElement'.                                     \n",
+       "              - Contains monitors defined for RF wavelengths.                   \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 2\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00002753, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.07702255, -30.10\u001b[0m\n", - " Params (width, height): \u001b[34m12390.93066406, 15939.93\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.10\u001b[0m\n" + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: ℹ️ ⚠️ RF simulations are subject to new license \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mrequirements in the future. You are using RF-specific components in\u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mthis simulation. \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31m - Contains a \u001b[0m\u001b[32m'LumpedElement'\u001b[0m\u001b[31m. \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31m - Contains monitors defined for RF wavelengths. \u001b[0m\n" ] }, "metadata": {}, @@ -1072,19 +1015,19 @@ { "data": { "text/html": [ - "
Iteration 3\n",
-       "        Gradient (width, height): -0.00003017, -0.00002\n",
-       "        Updates (width, height): -29.18603897, -30.41\n",
-       "        Params (width, height): 12361.74414062, 15909.51\n",
-       "        Figure of merit:          0.11\n",
+       "
             WARNING: Structure: simulation.structures[0] (no `name` was        \n",
+       "             specified) was detected as being less than half of a central       \n",
+       "             wavelength from a PML on side x-min. To avoid inaccurate results or\n",
+       "             divergence, please increase gap between any structures and PML or  \n",
+       "             fully extend structure through the pml.                            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 3\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00003017, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.18603897, -30.41\u001b[0m\n", - " Params (width, height): \u001b[34m12361.74414062, 15909.51\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.11\u001b[0m\n" + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Structure: simulation.structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;31m]\u001b[0m\u001b[31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31mno `name` was \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mspecified\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m was detected as being less than half of a central \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mwavelength from a PML on side x-min. To avoid inaccurate results or\u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mdivergence, please increase gap between any structures and PML or \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mfully extend structure through the pml. \u001b[0m\n" ] }, "metadata": {}, @@ -1093,19 +1036,11 @@ { "data": { "text/html": [ - "
Iteration 4\n",
-       "        Gradient (width, height): -0.00003295, -0.00003\n",
-       "        Updates (width, height): -29.51652718, -30.12\n",
-       "        Params (width, height): 12332.22753906, 15879.39\n",
-       "        Figure of merit:          0.11\n",
+       "
             WARNING: Suppressed 14 WARNING messages.                           \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 4\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00003295, -0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.51652718, -30.12\u001b[0m\n", - " Params (width, height): \u001b[34m12332.22753906, 15879.39\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.11\u001b[0m\n" + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m14\u001b[0m\u001b[31m WARNING messages. \u001b[0m\n" ] }, "metadata": {}, @@ -1114,19 +1049,21 @@ { "data": { "text/html": [ - "
Iteration 5\n",
-       "        Gradient (width, height): -0.00003478, -0.00002\n",
-       "        Updates (width, height): -29.85807800, -30.02\n",
-       "        Params (width, height): 12302.36914062, 15849.37\n",
-       "        Figure of merit:          0.12\n",
+       "
             WARNING:  ℹ️ ⚠️ RF simulations are subject to new license            \n",
+       "             requirements in the future. You are using RF-specific components in\n",
+       "             this simulation.                                                   \n",
+       "              - Contains a 'LumpedElement'.                                     \n",
+       "              - Contains sources defined for RF wavelengths.                    \n",
+       "              - Contains monitors defined for RF wavelengths.                   \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 5\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00003478, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-29.85807800, -30.02\u001b[0m\n", - " Params (width, height): \u001b[34m12302.36914062, 15849.37\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: ℹ️ ⚠️ RF simulations are subject to new license \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mrequirements in the future. You are using RF-specific components in\u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31mthis simulation. \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31m - Contains a \u001b[0m\u001b[32m'LumpedElement'\u001b[0m\u001b[31m. \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31m - Contains sources defined for RF wavelengths. \u001b[0m\n", + "\u001b[2;36m \u001b[0m\u001b[31m - Contains monitors defined for RF wavelengths. \u001b[0m\n" ] }, "metadata": {}, @@ -1134,41 +1071,78 @@ }, { "data": { - "text/html": [ - "
Iteration 6\n",
-       "        Gradient (width, height): -0.00003801, -0.00001\n",
-       "        Updates (width, height): -30.31882095, -29.13\n",
-       "        Params (width, height): 12272.05078125, 15820.24\n",
-       "        Figure of merit:          0.12\n",
-       "
\n" - ], + "image/png": "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", "text/plain": [ - "\u001b[1;36mIteration 6\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00003801, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-30.31882095, -29.13\u001b[0m\n", - " Params (width, height): \u001b[34m12272.05078125, 15820.24\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" + "
" ] }, "metadata": {}, "output_type": "display_data" - }, + } + ], + "source": [ + "def params_to_boxes_single_patch(patch_params):\n", + " \"\"\"Convert single patch parameters into patch geometry.\"\"\"\n", + "\n", + " patch_wh = patch_params[0:2]\n", + "\n", + " main_patch = td.Box.from_bounds(\n", + " [-0.5 * patch_wh[0], 0.0, sub_z / 2.0], [0.5 * patch_wh[0], patch_wh[1], sub_z / 2.0]\n", + " )\n", + "\n", + " return [main_patch]\n", + "\n", + "\n", + "# set an initial width and height for the patch\n", + "patch_init_width = 12.45 * mm\n", + "patch_init_height = 16 * mm\n", + "patch_init_wh = anp.array([patch_init_width, patch_init_height])\n", + "\n", + "# set the min/max for the patch width and height to use to bound these parameters in the optimization\n", + "patch_min_width = 8 * mm\n", + "patch_min_height = 8 * mm\n", + "\n", + "patch_max_width = 18 * mm\n", + "patch_max_height = 24 * mm\n", + "\n", + "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", + "plot_structures_and_mesh(\n", + " params_to_boxes_single_patch(patch_init_wh), sub_x_single_patch, sub_y_single_patch\n", + ")\n", + "# Helper function for evaluating antenna performance for a single patch\n", + "evaluate_single_antenna = lambda patch_wh, eval_s_params_freqs, opt_freqs: (\n", + " evaluate_antenna(\n", + " params_to_boxes_single_patch(patch_wh),\n", + " eval_s_params_freqs,\n", + " opt_freqs,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " )\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we set up and run the optimization. We create the monitors to capture the far field radiation and solve for the initial flux into the target radiation angular components. Then, we configure the optimizer which we can also load from a saved checkpoint by toggling the `restart_optimization` flag if we get interrupted in the middle. Finally, we run the optimization and capture the figure of merit and other interesting quantities along the way." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "scrolled": true + }, + "outputs": [ { "data": { "text/html": [ - "
Iteration 7\n",
-       "        Gradient (width, height): -0.00000721, -0.00001\n",
-       "        Updates (width, height): -26.11418533, -28.78\n",
-       "        Params (width, height): 12245.93652344, 15791.46\n",
-       "        Figure of merit:          0.13\n",
+       "
15:51:46 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 7\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00000721, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-26.11418533, -28.78\u001b[0m\n", - " Params (width, height): \u001b[34m12245.93652344, 15791.46\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.13\u001b[0m\n" + "\u001b[2;36m15:51:46 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -1177,19 +1151,11 @@ { "data": { "text/html": [ - "
Iteration 8\n",
-       "        Gradient (width, height): -0.00002696, -0.00001\n",
-       "        Updates (width, height): -26.46311760, -26.63\n",
-       "        Params (width, height): 12219.47363281, 15764.84\n",
-       "        Figure of merit:          0.13\n",
+       "
15:53:35 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 8\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00002696, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-26.46311760, -26.63\u001b[0m\n", - " Params (width, height): \u001b[34m12219.47363281, 15764.84\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.13\u001b[0m\n" + "\u001b[2;36m15:53:35 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -1198,19 +1164,15 @@ { "data": { "text/html": [ - "
Iteration 9\n",
-       "        Gradient (width, height): -0.00004401, -0.00003\n",
-       "        Updates (width, height): -28.62040329, -29.14\n",
-       "        Params (width, height): 12190.85351562, 15735.69\n",
-       "        Figure of merit:          0.14\n",
+       "
Iteration 1\n",
+       "        Params (width, height) (mm): 12.42, 15.97\n",
+       "        Figure of merit:          0.10\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 9\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00004401, -0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-28.62040329, -29.14\u001b[0m\n", - " Params (width, height): \u001b[34m12190.85351562, 15735.69\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" + "\u001b[1;36mIteration 1\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m12.42, 15.97\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.10\u001b[0m\n" ] }, "metadata": {}, @@ -1219,19 +1181,15 @@ { "data": { "text/html": [ - "
Iteration 10\n",
-       "        Gradient (width, height): -0.00005951, -0.00004\n",
-       "        Updates (width, height): -31.02917862, -31.80\n",
-       "        Params (width, height): 12159.82421875, 15703.90\n",
-       "        Figure of merit:          0.14\n",
+       "
Iteration 6\n",
+       "        Params (width, height) (mm): 12.27, 15.82\n",
+       "        Figure of merit:          0.12\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 10\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00005951, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-31.02917862, -31.80\u001b[0m\n", - " Params (width, height): \u001b[34m12159.82421875, 15703.90\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" + "\u001b[1;36mIteration 6\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m12.27, 15.82\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" ] }, "metadata": {}, @@ -1240,11 +1198,11 @@ { "data": { "text/html": [ - "
15:03:33 EDT Component modeler batch validation has been successful.            \n",
+       "
16:03:43 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m15:03:33 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + "\u001b[2;36m16:03:43 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -1254,122 +1212,30 @@ "data": { "text/html": [ "
Iteration 11\n",
-       "        Gradient (width, height): -0.00007552, -0.00002\n",
-       "        Updates (width, height): -33.18568420, -30.55\n",
-       "        Params (width, height): 12126.63867188, 15673.35\n",
-       "        Figure of merit:          0.14\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 11\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00007552, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-33.18568420, -30.55\u001b[0m\n", - " Params (width, height): \u001b[34m12126.63867188, 15673.35\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.14\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 12\n",
-       "        Gradient (width, height): -0.00008816, -0.00002\n",
-       "        Updates (width, height): -34.93735504, -29.72\n",
-       "        Params (width, height): 12091.70117188, 15643.63\n",
+       "        Params (width, height) (mm): 12.13, 15.67\n",
        "        Figure of merit:          0.15\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 12\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00008816, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-34.93735504, -29.72\u001b[0m\n", - " Params (width, height): \u001b[34m12091.70117188, 15643.63\u001b[0m\n", + "\u001b[1;36mIteration 11\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m12.13, 15.67\u001b[0m\n", "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.15\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, - { - "data": { - "text/html": [ - "
Iteration 13\n",
-       "        Gradient (width, height): -0.00006964, -0.00002\n",
-       "        Updates (width, height): -35.33975220, -29.58\n",
-       "        Params (width, height): 12056.36132812, 15614.04\n",
-       "        Figure of merit:          0.17\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 13\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00006964, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-35.33975220, -29.58\u001b[0m\n", - " Params (width, height): \u001b[34m12056.36132812, 15614.04\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.17\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 14\n",
-       "        Gradient (width, height): -0.00007797, -0.00002\n",
-       "        Updates (width, height): -35.98293304, -30.27\n",
-       "        Params (width, height): 12020.37792969, 15583.78\n",
-       "        Figure of merit:          0.18\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 14\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00007797, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m-35.98293304, -30.27\u001b[0m\n", - " Params (width, height): \u001b[34m12020.37792969, 15583.78\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.18\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 15\n",
-       "        Gradient (width, height): -0.00008666, -0.00005\n",
-       "        Updates (width, height): -36.76580429, -33.98\n",
-       "        Params (width, height): 11983.61230469, 15549.80\n",
-       "        Figure of merit:          0.19\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 15\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00008666, -0.00005\u001b[0m\n", - " Updates (width, height): \u001b[35m-36.76580429, -33.98\u001b[0m\n", - " Params (width, height): \u001b[34m11983.61230469, 15549.80\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.19\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "data": { "text/html": [ "
Iteration 16\n",
-       "        Gradient (width, height): -0.00009268, -0.00004\n",
-       "        Updates (width, height): -37.49803162, -34.86\n",
-       "        Params (width, height): 11946.11425781, 15514.94\n",
+       "        Params (width, height) (mm): 11.95, 15.51\n",
        "        Figure of merit:          0.21\n",
        "
\n" ], "text/plain": [ "\u001b[1;36mIteration 16\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00009268, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-37.49803162, -34.86\u001b[0m\n", - " Params (width, height): \u001b[34m11946.11425781, 15514.94\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m11.95, 15.51\u001b[0m\n", "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.21\u001b[0m\n" ] }, @@ -1379,19 +1245,11 @@ { "data": { "text/html": [ - "
Iteration 17\n",
-       "        Gradient (width, height): -0.00000591, -0.00003\n",
-       "        Updates (width, height): -31.38626480, -34.09\n",
-       "        Params (width, height): 11914.72753906, 15480.85\n",
-       "        Figure of merit:          0.22\n",
+       "
16:13:09 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 17\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00000591, -0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-31.38626480, -34.09\u001b[0m\n", - " Params (width, height): \u001b[34m11914.72753906, 15480.85\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.22\u001b[0m\n" + "\u001b[2;36m16:13:09 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -1400,19 +1258,15 @@ { "data": { "text/html": [ - "
Iteration 18\n",
-       "        Gradient (width, height): -0.00006996, -0.00003\n",
-       "        Updates (width, height): -32.10239410, -33.89\n",
-       "        Params (width, height): 11882.62500000, 15446.96\n",
-       "        Figure of merit:          0.23\n",
+       "
Iteration 21\n",
+       "        Params (width, height) (mm): 11.77, 15.33\n",
+       "        Figure of merit:          0.27\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 18\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00006996, -0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-32.10239410, -33.89\u001b[0m\n", - " Params (width, height): \u001b[34m11882.62500000, 15446.96\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.23\u001b[0m\n" + "\u001b[1;36mIteration 21\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m11.77, 15.33\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.27\u001b[0m\n" ] }, "metadata": {}, @@ -1421,19 +1275,15 @@ { "data": { "text/html": [ - "
Iteration 19\n",
-       "        Gradient (width, height): -0.00012461, -0.00004\n",
-       "        Updates (width, height): -35.48599625, -34.69\n",
-       "        Params (width, height): 11847.13867188, 15412.27\n",
-       "        Figure of merit:          0.24\n",
+       "
Iteration 26\n",
+       "        Params (width, height) (mm): 11.54, 15.14\n",
+       "        Figure of merit:          0.52\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 19\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00012461, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-35.48599625, -34.69\u001b[0m\n", - " Params (width, height): \u001b[34m11847.13867188, 15412.27\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.24\u001b[0m\n" + "\u001b[1;36mIteration 26\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m11.54, 15.14\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.52\u001b[0m\n" ] }, "metadata": {}, @@ -1442,19 +1292,11 @@ { "data": { "text/html": [ - "
Iteration 20\n",
-       "        Gradient (width, height): -0.00017479, -0.00007\n",
-       "        Updates (width, height): -39.04999161, -38.63\n",
-       "        Params (width, height): 11808.08886719, 15373.64\n",
-       "        Figure of merit:          0.25\n",
+       "
16:25:25 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 20\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00017479, -0.00007\u001b[0m\n", - " Updates (width, height): \u001b[35m-39.04999161, -38.63\u001b[0m\n", - " Params (width, height): \u001b[34m11808.08886719, 15373.64\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.25\u001b[0m\n" + "\u001b[2;36m16:25:25 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -1463,11 +1305,15 @@ { "data": { "text/html": [ - "
15:42:57 EDT Component modeler batch validation has been successful.            \n",
+       "
Iteration 31\n",
+       "        Params (width, height) (mm): 11.28, 14.92\n",
+       "        Figure of merit:          1.25\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m15:42:57 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + "\u001b[1;36mIteration 31\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m11.28, 14.92\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.25\u001b[0m\n" ] }, "metadata": {}, @@ -1476,19 +1322,15 @@ { "data": { "text/html": [ - "
Iteration 21\n",
-       "        Gradient (width, height): -0.00022474, -0.00003\n",
-       "        Updates (width, height): -41.99432373, -37.49\n",
-       "        Params (width, height): 11766.09472656, 15336.16\n",
-       "        Figure of merit:          0.27\n",
+       "
Iteration 36\n",
+       "        Params (width, height) (mm): 11.01, 14.67\n",
+       "        Figure of merit:          3.67\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 21\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00022474, -0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m-41.99432373, -37.49\u001b[0m\n", - " Params (width, height): \u001b[34m11766.09472656, 15336.16\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.27\u001b[0m\n" + "\u001b[1;36mIteration 36\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m11.01, 14.67\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.67\u001b[0m\n" ] }, "metadata": {}, @@ -1497,19 +1339,11 @@ { "data": { "text/html": [ - "
Iteration 22\n",
-       "        Gradient (width, height): -0.00019917, -0.00004\n",
-       "        Updates (width, height): -43.37149429, -36.94\n",
-       "        Params (width, height): 11722.72363281, 15299.21\n",
-       "        Figure of merit:          0.32\n",
+       "
16:40:51 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 22\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00019917, -0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m-43.37149429, -36.94\u001b[0m\n", - " Params (width, height): \u001b[34m11722.72363281, 15299.21\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.32\u001b[0m\n" + "\u001b[2;36m16:40:51 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -1518,19 +1352,15 @@ { "data": { "text/html": [ - "
Iteration 23\n",
-       "        Gradient (width, height): -0.00023876, -0.00001\n",
-       "        Updates (width, height): -44.86957550, -32.04\n",
-       "        Params (width, height): 11677.85449219, 15267.17\n",
-       "        Figure of merit:          0.37\n",
+       "
Iteration 41\n",
+       "        Params (width, height) (mm): 10.73, 14.43\n",
+       "        Figure of merit:          11.58\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 23\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00023876, -0.00001\u001b[0m\n", - " Updates (width, height): \u001b[35m-44.86957550, -32.04\u001b[0m\n", - " Params (width, height): \u001b[34m11677.85449219, 15267.17\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.37\u001b[0m\n" + "\u001b[1;36mIteration 41\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m10.73, 14.43\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m11.58\u001b[0m\n" ] }, "metadata": {}, @@ -1539,19 +1369,15 @@ { "data": { "text/html": [ - "
Iteration 24\n",
-       "        Gradient (width, height): -0.00028089, -0.00009\n",
-       "        Updates (width, height): -46.31551743, -37.97\n",
-       "        Params (width, height): 11631.53906250, 15229.21\n",
-       "        Figure of merit:          0.42\n",
+       "
Iteration 46\n",
+       "        Params (width, height) (mm): 10.47, 14.24\n",
+       "        Figure of merit:          23.60\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 24\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00028089, -0.00009\u001b[0m\n", - " Updates (width, height): \u001b[35m-46.31551743, -37.97\u001b[0m\n", - " Params (width, height): \u001b[34m11631.53906250, 15229.21\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.42\u001b[0m\n" + "\u001b[1;36mIteration 46\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m10.47, 14.24\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.60\u001b[0m\n" ] }, "metadata": {}, @@ -1560,19 +1386,11 @@ { "data": { "text/html": [ - "
Iteration 25\n",
-       "        Gradient (width, height): -0.00032067, -0.00017\n",
-       "        Updates (width, height): -47.59044266, -43.07\n",
-       "        Params (width, height): 11583.94824219, 15186.13\n",
-       "        Figure of merit:          0.47\n",
+       "
16:55:09 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 25\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00032067, -0.00017\u001b[0m\n", - " Updates (width, height): \u001b[35m-47.59044266, -43.07\u001b[0m\n", - " Params (width, height): \u001b[34m11583.94824219, 15186.13\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.47\u001b[0m\n" + "\u001b[2;36m16:55:09 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -1581,19 +1399,15 @@ { "data": { "text/html": [ - "
Iteration 26\n",
-       "        Gradient (width, height): -0.00022194, -0.00006\n",
-       "        Updates (width, height): -46.52508926, -41.42\n",
-       "        Params (width, height): 11537.42285156, 15144.71\n",
-       "        Figure of merit:          0.52\n",
+       "
Iteration 51\n",
+       "        Params (width, height) (mm): 10.48, 14.18\n",
+       "        Figure of merit:          23.60\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 26\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00022194, -0.00006\u001b[0m\n", - " Updates (width, height): \u001b[35m-46.52508926, -41.42\u001b[0m\n", - " Params (width, height): \u001b[34m11537.42285156, 15144.71\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.52\u001b[0m\n" + "\u001b[1;36mIteration 51\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m10.48, 14.18\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.60\u001b[0m\n" ] }, "metadata": {}, @@ -1602,19 +1416,15 @@ { "data": { "text/html": [ - "
Iteration 27\n",
-       "        Gradient (width, height): -0.00048062, -0.00007\n",
-       "        Updates (width, height): -48.85026169, -40.79\n",
-       "        Params (width, height): 11488.57226562, 15103.93\n",
-       "        Figure of merit:          0.56\n",
+       "
Iteration 56\n",
+       "        Params (width, height) (mm): 10.53, 14.16\n",
+       "        Figure of merit:          23.54\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 27\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00048062, -0.00007\u001b[0m\n", - " Updates (width, height): \u001b[35m-48.85026169, -40.79\u001b[0m\n", - " Params (width, height): \u001b[34m11488.57226562, 15103.93\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.56\u001b[0m\n" + "\u001b[1;36mIteration 56\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m10.53, 14.16\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" ] }, "metadata": {}, @@ -1623,74 +1433,224 @@ { "data": { "text/html": [ - "
Iteration 28\n",
-       "        Gradient (width, height): -0.00069851, -0.00013\n",
-       "        Updates (width, height): -50.79639053, -43.85\n",
-       "        Params (width, height): 11437.77539062, 15060.08\n",
-       "        Figure of merit:          0.60\n",
+       "
17:08:20 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 28\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00069851, -0.00013\u001b[0m\n", - " Updates (width, height): \u001b[35m-50.79639053, -43.85\u001b[0m\n", - " Params (width, height): \u001b[34m11437.77539062, 15060.08\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.60\u001b[0m\n" + "\u001b[2;36m17:08:20 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 29\n",
-       "        Gradient (width, height): -0.00067846, -0.00028\n",
-       "        Updates (width, height): -52.07724762, -47.99\n",
-       "        Params (width, height): 11385.69824219, 15012.09\n",
-       "        Figure of merit:          0.76\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 29\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00067846, -0.00028\u001b[0m\n", - " Updates (width, height): \u001b[35m-52.07724762, -47.99\u001b[0m\n", - " Params (width, height): \u001b[34m11385.69824219, 15012.09\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.76\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 30\n",
-       "        Gradient (width, height): -0.00098061, -0.00011\n",
-       "        Updates (width, height): -53.50070190, -46.18\n",
-       "        Params (width, height): 11332.19726562, 14965.91\n",
-       "        Figure of merit:          1.03\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 30\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00098061, -0.00011\u001b[0m\n", - " Updates (width, height): \u001b[35m-53.50070190, -46.18\u001b[0m\n", - " Params (width, height): \u001b[34m11332.19726562, 14965.91\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.03\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, + } + ], + "source": [ + "# Turn the logging level to only show errors to not crowd the optimization output with repeated warnings\n", + "td.config.logging_level = \"ERROR\"\n", + "\n", + "# whether or not to restart the optimization from the current saved checkpoint\n", + "restart_optimization = False\n", + "restart_fname = \"misc/rf_autograd_1_single_patch_opt_state.pkl\"\n", + "\n", + "# set up the single patch radiation monitor sizes\n", + "obj_fn_monitor_dim_single_patch = 1.25 * np.mean(patch_init_wh)\n", + "obj_fn_monitor_center_y_single_patch = 0.5 * patch_init_wh[1]\n", + "\n", + "# set up where the directivity monitor will be placed\n", + "directivity_center_x = np.mean(sub_x_single_patch)\n", + "directivity_center_y = np.mean(sub_y_single_patch)\n", + "directivity_size_x = 5 * mm + sub_x_single_patch[1] - sub_x_single_patch[0]\n", + "directivity_size_y = 5 * mm + sub_y_single_patch[1] - sub_y_single_patch[0]\n", + "\n", + "# set ranges of theta and phi to record directivity for\n", + "theta = np.linspace(-np.pi, np.pi, 201)\n", + "phi = np.linspace(0, np.pi, 101)\n", + "\n", + "# set the optimization theta, phi grid that we can compute directivity for via\n", + "# a near field monitor and the field projector\n", + "num_theta_opt_points = 12\n", + "theta_opt = theta[\n", + " (len(theta) // 2) - (num_theta_opt_points // 2) : (len(theta) // 2)\n", + " + (num_theta_opt_points // 2)\n", + " + 1\n", + "]\n", + "phi_opt = phi # use the full phi sweep, but limit the theta points to be centered around 0 degrees\n", + "\n", + "monitor_directivity = td.DirectivityMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0],\n", + " size=(\n", + " directivity_size_x,\n", + " directivity_size_y,\n", + " 4 * mm,\n", + " ),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"directivity\",\n", + " phi=list(phi),\n", + " theta=list(theta),\n", + " far_field_approx=True,\n", + ")\n", + "\n", + "monitor_radiation = td.FieldMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"radiation\",\n", + " colocate=False,\n", + ")\n", + "\n", + "monitor_far_field = td.FieldProjectionAngleMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs_single_patch,\n", + " name=\"far_field\",\n", + " phi=phi_opt,\n", + " theta=theta_opt,\n", + " far_field_approx=True,\n", + " proj_distance=50 * wavelength0, # project far away form antenna\n", + ")\n", + "\n", + "single_patch_optimization_monitors = [monitor_directivity, monitor_radiation, monitor_far_field]\n", + "\n", + "initial_poynting_flux, initial_s11 = compute_poynting_and_s11(\n", + " patch_init_wh,\n", + " params_to_boxes_single_patch,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " single_patch_optimization_monitors,\n", + " opt_freqs_single_patch,\n", + ")\n", + "\n", + "# Set up the objective function for the single patch that is a function\n", + "# of the patch width and height\n", + "obj_fn = lambda patch_wh: objective_fn(\n", + " patch_wh,\n", + " params_to_boxes_single_patch,\n", + " sub_x_single_patch,\n", + " sub_y_single_patch,\n", + " single_patch_optimization_monitors,\n", + " opt_freqs_single_patch,\n", + " initial_poynting_flux,\n", + ")\n", + "\n", + "# Get function to compute the gradient of the objective\n", + "obj_val_and_grad = value_and_grad(obj_fn)\n", + "\n", + "patch_wh = patch_init_wh.copy()\n", + "\n", + "# Set up optimization parameters and optimizer\n", + "learning_rate = 30\n", + "optimizer = optax.adam(learning_rate=learning_rate, b1=0.8)\n", + "opt_state = optimizer.init(patch_wh)\n", + "\n", + "num_steps = 60\n", + "\n", + "full_eval_frequency = 10\n", + "s11_sq_dB_evolution = []\n", + "s11_f_ghz = None\n", + "realized_gain_evolution = []\n", + "theta_eval_evolution = None\n", + "\n", + "# Set bounds on patch width and height in the optimization\n", + "clip_min_single = anp.array([patch_min_width, patch_min_height])\n", + "clip_max_single = anp.array([patch_max_width, patch_max_height])\n", + "\n", + "figure_of_merit_single_patch = np.zeros(num_steps + 1)\n", + "\n", + "def pack_optimization_state(iter_idx):\n", + " optimization_state[\"iteration\"] = iter_idx\n", + " optimization_state[\"figure of merit\"] = figure_of_merit_single_patch\n", + " optimization_state[\"realized gain evolution\"] = realized_gain_evolution\n", + " optimization_state[\"opt state\"] = opt_state\n", + " optimization_state[\"patch parameters\"] = patch_wh\n", + "\n", + "\n", + "optimization_state = {}\n", + "if not os.path.exists(restart_fname):\n", + " pack_optimization_state(iter_idx=0)\n", + "\n", + "if restart_optimization:\n", + " with open(restart_fname, \"rb\") as file:\n", + " optimization_state = pickle.load(file)\n", + "\n", + "start_idx = 0\n", + "if restart_optimization:\n", + " start_idx = optimization_state[\"iteration\"]\n", + " figure_of_merit_single_patch = optimization_state[\"figure of merit\"]\n", + " realized_gain_evolution = optimization_state[\"realized gain evolution\"]\n", + " opt_state = optimization_state[\"opt state\"]\n", + " patch_wh = optimization_state[\"patch parameters\"]\n", + "\n", + "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", + "# at each step and clipping the design on the bounds\n", + "for step_idx in range(start_idx, num_steps):\n", + " pack_optimization_state(iter_idx=step_idx)\n", + " with open(restart_fname, \"wb\") as file:\n", + " pickle.dump(optimization_state, file)\n", + "\n", + " f, g = obj_val_and_grad(patch_wh)\n", + "\n", + " figure_of_merit_single_patch[step_idx] = f\n", + "\n", + " if (step_idx % full_eval_frequency) == 0:\n", + " smatrix_data_eval, theta_eval, realized_gain_eval = evaluate_single_antenna(\n", + " patch_wh, freqs_s_params, opt_freqs_single_patch\n", + " )\n", + " smatrix_eval = smatrix_data_eval.smatrix()\n", + " smatrix_f_ghz = smatrix_eval.data.coords[\"f\"] / 1e9\n", + " s11_f_ghz = smatrix_f_ghz.copy()\n", + " s11_data_selection = smatrix_eval.data.isel(port_out=0, port_in=0)\n", + " s11_sq_dB_evolution.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", + "\n", + " realized_gain_evolution.append(\n", + " {\n", + " \"Gtheta\": realized_gain_eval[\"Gtheta\"]\n", + " .sel(phi=0, method=\"nearest\")\n", + " .squeeze()\n", + " .values,\n", + " \"Gphi\": realized_gain_eval[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", + " }\n", + " )\n", + "\n", + " theta_eval_evolution = theta_eval.copy()\n", + " \n", + " updates, opt_state = optimizer.update(-g, opt_state, patch_wh)\n", + "\n", + " patch_wh = optax.apply_updates(patch_wh, updates)\n", + " patch_wh = anp.array(patch_wh)\n", + " patch_wh = anp.clip(patch_wh, a_min=clip_min_single, a_max=clip_max_single)\n", + "\n", + " if (step_idx % print_iteration_frequency) == 0:\n", + " output_text = Text.assemble(\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", + " \"\\n\",\n", + " (f\"\\tParams (width, height) (mm): \", \"\"),\n", + " (f\"{(patch_wh[0] / mm):.{print_decimal_places}f}, {(patch_wh[1] / mm):.{print_decimal_places}f}\", \"blue\"),\n", + " \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"),\n", + " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", + " )\n", + " console.print(output_text)\n", + "\n", + "figure_of_merit_single_patch[num_steps] = obj_fn(patch_wh)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Below, we plot the optimization output, including the figure of merit as a function of iteration and a comparison of the initial and final patch geometry. During the optimization, we also tracked how the `S11` coefficient and realized gain were evolving as the optimizer tuned the patch width and height. This evolution is visualized as well, showing the resonance moving towards the desired frequency and the antenna gain increasing accordingly." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ { "data": { - "text/html": [ - "
15:50:25 EDT Component modeler batch validation has been successful.            \n",
-       "
\n" - ], + "image/png": "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", "text/plain": [ - "\u001b[2;36m15:50:25 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + "
" ] }, "metadata": {}, @@ -1698,41 +1658,57 @@ }, { "data": { - "text/html": [ - "
Iteration 31\n",
-       "        Gradient (width, height): -0.00123898, -0.00005\n",
-       "        Updates (width, height): -54.72206879, -40.91\n",
-       "        Params (width, height): 11277.47558594, 14925.00\n",
-       "        Figure of merit:          1.25\n",
-       "
\n" - ], + "image/png": "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", "text/plain": [ - "\u001b[1;36mIteration 31\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00123898, -0.00005\u001b[0m\n", - " Updates (width, height): \u001b[35m-54.72206879, -40.91\u001b[0m\n", - " Params (width, height): \u001b[34m11277.47558594, 14925.00\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.25\u001b[0m\n" + "
" ] }, "metadata": {}, "output_type": "display_data" - }, + } + ], + "source": [ + "# Plot the results of the optimization including the optimization trajectory and the resulting patch geometry\n", + "# compared to the initial state\n", + "plot_optimization_results(\n", + " figure_of_merit_single_patch,\n", + " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", + " params_to_boxes_single_patch(patch_init_wh),\n", + " params_to_boxes_single_patch(patch_wh),\n", + ")\n", + "\n", + "# Plot the evolution of the antenna S11 and realized gain during the course of the optimization\n", + "plot_antenna_evolution(\n", + " s11_sq_dB_evolution,\n", + " s11_f_ghz,\n", + " realized_gain_evolution,\n", + " opt_freqs_single_patch,\n", + " theta_eval_evolution,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we plot a performance comparison between our initial final antenna states including the realized gain for both polarization." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "scrolled": true + }, + "outputs": [ { "data": { "text/html": [ - "
Iteration 32\n",
-       "        Gradient (width, height): -0.00022887, -0.00042\n",
-       "        Updates (width, height): -47.96701813, -47.35\n",
-       "        Params (width, height): 11229.50878906, 14877.65\n",
-       "        Figure of merit:          1.47\n",
+       "
17:09:06 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 32\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00022887, -0.00042\u001b[0m\n", - " Updates (width, height): \u001b[35m-47.96701813, -47.35\u001b[0m\n", - " Params (width, height): \u001b[34m11229.50878906, 14877.65\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.47\u001b[0m\n" + "\u001b[2;36m17:09:06 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -1741,19 +1717,11 @@ { "data": { "text/html": [ - "
Iteration 33\n",
-       "        Gradient (width, height): -0.00157895, -0.00021\n",
-       "        Updates (width, height): -51.75487137, -47.55\n",
-       "        Params (width, height): 11177.75390625, 14830.10\n",
-       "        Figure of merit:          1.67\n",
+       "
17:09:57 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 33\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00157895, -0.00021\u001b[0m\n", - " Updates (width, height): \u001b[35m-51.75487137, -47.55\u001b[0m\n", - " Params (width, height): \u001b[34m11177.75390625, 14830.10\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.67\u001b[0m\n" + "\u001b[2;36m17:09:57 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -1761,20 +1729,9 @@ }, { "data": { - "text/html": [ - "
Iteration 34\n",
-       "        Gradient (width, height): -0.00282321, -0.00019\n",
-       "        Updates (width, height): -53.98826981, -47.18\n",
-       "        Params (width, height): 11123.76562500, 14782.92\n",
-       "        Figure of merit:          1.87\n",
-       "
\n" - ], + "image/png": "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", "text/plain": [ - "\u001b[1;36mIteration 34\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00282321, -0.00019\u001b[0m\n", - " Updates (width, height): \u001b[35m-53.98826981, -47.18\u001b[0m\n", - " Params (width, height): \u001b[34m11123.76562500, 14782.92\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.87\u001b[0m\n" + "
" ] }, "metadata": {}, @@ -1782,1726 +1739,321 @@ }, { "data": { - "text/html": [ - "
Iteration 35\n",
-       "        Gradient (width, height): -0.00385026, -0.00031\n",
-       "        Updates (width, height): -55.86885834, -49.75\n",
-       "        Params (width, height): 11067.89648438, 14733.17\n",
-       "        Figure of merit:          2.05\n",
-       "
\n" - ], + "image/png": "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", "text/plain": [ - "\u001b[1;36mIteration 35\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00385026, -0.00031\u001b[0m\n", - " Updates (width, height): \u001b[35m-55.86885834, -49.75\u001b[0m\n", - " Params (width, height): \u001b[34m11067.89648438, 14733.17\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.05\u001b[0m\n" + "
" ] }, "metadata": {}, "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 36\n",
-       "        Gradient (width, height): -0.00465618, -0.00128\n",
-       "        Updates (width, height): -57.65287781, -50.94\n",
-       "        Params (width, height): 11010.24316406, 14682.22\n",
-       "        Figure of merit:          3.63\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 36\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00465618, -0.00128\u001b[0m\n", - " Updates (width, height): \u001b[35m-57.65287781, -50.94\u001b[0m\n", - " Params (width, height): \u001b[34m11010.24316406, 14682.22\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.63\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 37\n",
-       "        Gradient (width, height): -0.00662191, -0.00036\n",
-       "        Updates (width, height): -58.89441681, -48.74\n",
-       "        Params (width, height): 10951.34863281, 14633.48\n",
-       "        Figure of merit:          5.09\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 37\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00662191, -0.00036\u001b[0m\n", - " Updates (width, height): \u001b[35m-58.89441681, -48.74\u001b[0m\n", - " Params (width, height): \u001b[34m10951.34863281, 14633.48\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m5.09\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 38\n",
-       "        Gradient (width, height): -0.00028820, -0.00021\n",
-       "        Updates (width, height): -48.82100296, -44.16\n",
-       "        Params (width, height): 10902.52734375, 14589.32\n",
-       "        Figure of merit:          6.34\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 38\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00028820, -0.00021\u001b[0m\n", - " Updates (width, height): \u001b[35m-48.82100296, -44.16\u001b[0m\n", - " Params (width, height): \u001b[34m10902.52734375, 14589.32\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m6.34\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 39\n",
-       "        Gradient (width, height): -0.00794936, -0.00190\n",
-       "        Updates (width, height): -54.13338852, -51.36\n",
-       "        Params (width, height): 10848.39355469, 14537.95\n",
-       "        Figure of merit:          7.34\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 39\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00794936, -0.00190\u001b[0m\n", - " Updates (width, height): \u001b[35m-54.13338852, -51.36\u001b[0m\n", - " Params (width, height): \u001b[34m10848.39355469, 14537.95\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.34\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 40\n",
-       "        Gradient (width, height): -0.01504511, -0.00027\n",
-       "        Updates (width, height): -56.96683121, -45.44\n",
-       "        Params (width, height): 10791.42675781, 14492.51\n",
-       "        Figure of merit:          8.61\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 40\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.01504511, -0.00027\u001b[0m\n", - " Updates (width, height): \u001b[35m-56.96683121, -45.44\u001b[0m\n", - " Params (width, height): \u001b[34m10791.42675781, 14492.51\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.61\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
15:57:43 EDT Component modeler batch validation has been successful.            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:57:43 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 41\n",
-       "        Gradient (width, height): -0.02025161, -0.00054\n",
-       "        Updates (width, height): -59.42907715, -44.10\n",
-       "        Params (width, height): 10731.99804688, 14448.41\n",
-       "        Figure of merit:          9.45\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 41\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.02025161, -0.00054\u001b[0m\n", - " Updates (width, height): \u001b[35m-59.42907715, -44.10\u001b[0m\n", - " Params (width, height): \u001b[34m10731.99804688, 14448.41\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m9.45\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 42\n",
-       "        Gradient (width, height): -0.01665919, -0.00134\n",
-       "        Updates (width, height): -61.02302933, -49.65\n",
-       "        Params (width, height): 10670.97460938, 14398.75\n",
-       "        Figure of merit:          16.84\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 42\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.01665919, -0.00134\u001b[0m\n", - " Updates (width, height): \u001b[35m-61.02302933, -49.65\u001b[0m\n", - " Params (width, height): \u001b[34m10670.97460938, 14398.75\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m16.84\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 43\n",
-       "        Gradient (width, height): -0.01329967, -0.00249\n",
-       "        Updates (width, height): -60.43591309, -55.89\n",
-       "        Params (width, height): 10610.53906250, 14342.86\n",
-       "        Figure of merit:          20.59\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 43\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.01329967, -0.00249\u001b[0m\n", - " Updates (width, height): \u001b[35m-60.43591309, -55.89\u001b[0m\n", - " Params (width, height): \u001b[34m10610.53906250, 14342.86\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m20.59\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 44\n",
-       "        Gradient (width, height): -0.00164313, -0.00011\n",
-       "        Updates (width, height): -50.69794464, -46.40\n",
-       "        Params (width, height): 10559.84082031, 14296.46\n",
-       "        Figure of merit:          22.61\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 44\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00164313, -0.00011\u001b[0m\n", - " Updates (width, height): \u001b[35m-50.69794464, -46.40\u001b[0m\n", - " Params (width, height): \u001b[34m10559.84082031, 14296.46\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.61\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 45\n",
-       "        Gradient (width, height): -0.00385817, -0.00012\n",
-       "        Updates (width, height): -45.10831451, -38.83\n",
-       "        Params (width, height): 10514.73242188, 14257.63\n",
-       "        Figure of merit:          23.30\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 45\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00385817, -0.00012\u001b[0m\n", - " Updates (width, height): \u001b[35m-45.10831451, -38.83\u001b[0m\n", - " Params (width, height): \u001b[34m10514.73242188, 14257.63\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.30\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 46\n",
-       "        Gradient (width, height): -0.00143575, -0.00013\n",
-       "        Updates (width, height): -38.09061432, -32.80\n",
-       "        Params (width, height): 10476.64160156, 14224.83\n",
-       "        Figure of merit:          23.57\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 46\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00143575, -0.00013\u001b[0m\n", - " Updates (width, height): \u001b[35m-38.09061432, -32.80\u001b[0m\n", - " Params (width, height): \u001b[34m10476.64160156, 14224.83\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.57\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 47\n",
-       "        Gradient (width, height): 0.00183721, 0.00018\n",
-       "        Updates (width, height): -28.66728783, -24.55\n",
-       "        Params (width, height): 10447.97460938, 14200.29\n",
-       "        Figure of merit:          23.62\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 47\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00183721, 0.00018\u001b[0m\n", - " Updates (width, height): \u001b[35m-28.66728783, -24.55\u001b[0m\n", - " Params (width, height): \u001b[34m10447.97460938, 14200.29\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.62\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 48\n",
-       "        Gradient (width, height): 0.01098760, -0.00018\n",
-       "        Updates (width, height): -10.01313400, -21.75\n",
-       "        Params (width, height): 10437.96191406, 14178.54\n",
-       "        Figure of merit:          22.38\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 48\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.01098760, -0.00018\u001b[0m\n", - " Updates (width, height): \u001b[35m-10.01313400, -21.75\u001b[0m\n", - " Params (width, height): \u001b[34m10437.96191406, 14178.54\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.38\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 49\n",
-       "        Gradient (width, height): 0.01265253, -0.00008\n",
-       "        Updates (width, height): 5.70520592, -18.46\n",
-       "        Params (width, height): 10443.66699219, 14160.08\n",
-       "        Figure of merit:          21.76\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 49\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.01265253, -0.00008\u001b[0m\n", - " Updates (width, height): \u001b[35m5.70520592, -18.46\u001b[0m\n", - " Params (width, height): \u001b[34m10443.66699219, 14160.08\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m21.76\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 50\n",
-       "        Gradient (width, height): 0.01142319, 0.00000\n",
-       "        Updates (width, height): 16.13808250, -14.92\n",
-       "        Params (width, height): 10459.80468750, 14145.16\n",
-       "        Figure of merit:          22.23\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 50\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.01142319, 0.00000\u001b[0m\n", - " Updates (width, height): \u001b[35m16.13808250, -14.92\u001b[0m\n", - " Params (width, height): \u001b[34m10459.80468750, 14145.16\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.23\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
16:04:18 EDT Component modeler batch validation has been successful.            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:04:18 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 51\n",
-       "        Gradient (width, height): 0.00347020, 0.00007\n",
-       "        Updates (width, height): 16.57618141, -11.23\n",
-       "        Params (width, height): 10476.38085938, 14133.94\n",
-       "        Figure of merit:          23.60\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 51\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00347020, 0.00007\u001b[0m\n", - " Updates (width, height): \u001b[35m16.57618141, -11.23\u001b[0m\n", - " Params (width, height): \u001b[34m10476.38085938, 14133.94\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.60\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 52\n",
-       "        Gradient (width, height): 0.00192122, 0.00003\n",
-       "        Updates (width, height): 15.37905502, -8.72\n",
-       "        Params (width, height): 10491.75976562, 14125.21\n",
-       "        Figure of merit:          23.61\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 52\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00192122, 0.00003\u001b[0m\n", - " Updates (width, height): \u001b[35m15.37905502, -8.72\u001b[0m\n", - " Params (width, height): \u001b[34m10491.75976562, 14125.21\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.61\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 53\n",
-       "        Gradient (width, height): 0.00056524, 0.00004\n",
-       "        Updates (width, height): 13.01708126, -6.57\n",
-       "        Params (width, height): 10504.77636719, 14118.64\n",
-       "        Figure of merit:          23.61\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 53\u001b[0m\n", - " Gradient (width, height): \u001b[35m0.00056524, 0.00004\u001b[0m\n", - " Updates (width, height): \u001b[35m13.01708126, -6.57\u001b[0m\n", - " Params (width, height): \u001b[34m10504.77636719, 14118.64\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.61\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 54\n",
-       "        Gradient (width, height): -0.00052052, 0.00002\n",
-       "        Updates (width, height): 9.96084404, -5.12\n",
-       "        Params (width, height): 10514.73730469, 14113.52\n",
-       "        Figure of merit:          23.60\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 54\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00052052, 0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m9.96084404, -5.12\u001b[0m\n", - " Params (width, height): \u001b[34m10514.73730469, 14113.52\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.60\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 55\n",
-       "        Gradient (width, height): -0.00127741, -0.00002\n",
-       "        Updates (width, height): 6.67244864, -4.37\n",
-       "        Params (width, height): 10521.41015625, 14109.16\n",
-       "        Figure of merit:          23.57\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 55\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00127741, -0.00002\u001b[0m\n", - " Updates (width, height): \u001b[35m6.67244864, -4.37\u001b[0m\n", - " Params (width, height): \u001b[34m10521.41015625, 14109.16\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.57\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 56\n",
-       "        Gradient (width, height): -0.00175442, -0.00006\n",
-       "        Updates (width, height): 3.48840380, -4.18\n",
-       "        Params (width, height): 10524.89843750, 14104.98\n",
-       "        Figure of merit:          23.55\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 56\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00175442, -0.00006\u001b[0m\n", - " Updates (width, height): \u001b[35m3.48840380, -4.18\u001b[0m\n", - " Params (width, height): \u001b[34m10524.89843750, 14104.98\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.55\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 57\n",
-       "        Gradient (width, height): -0.00199524, -0.00008\n",
-       "        Updates (width, height): 0.64147300, -4.33\n",
-       "        Params (width, height): 10525.54003906, 14100.65\n",
-       "        Figure of merit:          23.54\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 57\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00199524, -0.00008\u001b[0m\n", - " Updates (width, height): \u001b[35m0.64147300, -4.33\u001b[0m\n", - " Params (width, height): \u001b[34m10525.54003906, 14100.65\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 58\n",
-       "        Gradient (width, height): -0.00204414, -0.00009\n",
-       "        Updates (width, height): -1.72472143, -4.62\n",
-       "        Params (width, height): 10523.81542969, 14096.03\n",
-       "        Figure of merit:          23.54\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 58\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00204414, -0.00009\u001b[0m\n", - " Updates (width, height): \u001b[35m-1.72472143, -4.62\u001b[0m\n", - " Params (width, height): \u001b[34m10523.81542969, 14096.03\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 59\n",
-       "        Gradient (width, height): -0.00194101, -0.00009\n",
-       "        Updates (width, height): -3.53560090, -4.86\n",
-       "        Params (width, height): 10520.28027344, 14091.17\n",
-       "        Figure of merit:          23.54\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 59\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00194101, -0.00009\u001b[0m\n", - " Updates (width, height): \u001b[35m-3.53560090, -4.86\u001b[0m\n", - " Params (width, height): \u001b[34m10520.28027344, 14091.17\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 60\n",
-       "        Gradient (width, height): -0.00168977, -0.00008\n",
-       "        Updates (width, height): -4.73281336, -4.85\n",
-       "        Params (width, height): 10515.54785156, 14086.32\n",
-       "        Figure of merit:          23.55\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 60\u001b[0m\n", - " Gradient (width, height): \u001b[35m-0.00168977, -0.00008\u001b[0m\n", - " Updates (width, height): \u001b[35m-4.73281336, -4.85\u001b[0m\n", - " Params (width, height): \u001b[34m10515.54785156, 14086.32\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.55\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
16:11:06 EDT Component modeler batch validation has been successful.            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:11:06 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# whether or not to restart the optimization from the current saved checkpoint\n", - "restart_optimization = False\n", - "restart_fname = 'misc/rf_autograd_1_single_patch_opt_state.pkl'\n", - "\n", - "# set up the single patch radiation monitor sizes\n", - "obj_fn_monitor_dim_single_patch = 1.25 * np.mean(patch_init_wh)\n", - "obj_fn_monitor_center_y_single_patch = 0.5 * patch_init_wh[1]\n", - "\n", - "# set up where the directivity monitor will be placed\n", - "directivity_center_x = np.mean(sub_x_single_patch)\n", - "directivity_center_y = np.mean(sub_y_single_patch)\n", - "directivity_size_x = 5 * mm + sub_x_single_patch[1] - sub_x_single_patch[0]\n", - "directivity_size_y = 5 * mm + sub_y_single_patch[1] - sub_y_single_patch[0]\n", - "\n", - "# set ranges of theta and phi to record directivity for\n", - "theta = np.linspace(-np.pi, np.pi, 201)\n", - "phi = np.linspace(0, np.pi, 101)\n", - "\n", - "# set the optimization theta, phi grid that we can compute directivity for via\n", - "# a near field monitor and the field projector\n", - "num_theta_opt_points = 12\n", - "theta_opt = theta[\n", - " (len(theta) // 2) - (num_theta_opt_points // 2) : (len(theta) // 2)\n", - " + (num_theta_opt_points // 2)\n", - " + 1\n", - "]\n", - "phi_opt = phi # use the full phi sweep, but limit the theta points to be centered around 0 degrees\n", - "\n", - "monitor_directivity = td.DirectivityMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0],\n", - " size=(\n", - " directivity_size_x,\n", - " directivity_size_y,\n", - " 4 * mm,\n", - " ),\n", - " freqs=opt_freqs_single_patch,\n", - " name=\"directivity\",\n", - " phi=list(phi),\n", - " theta=list(theta),\n", - " far_field_approx=True,\n", - ")\n", - "\n", - "monitor_radiation = td.FieldMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", - " size=(directivity_size_x, directivity_size_y, 0.0),\n", - " freqs=opt_freqs_single_patch,\n", - " name=\"radiation\",\n", - ")\n", - "\n", - "monitor_far_field = td.FieldProjectionAngleMonitor(\n", - " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", - " size=(directivity_size_x, directivity_size_y, 0.0),\n", - " freqs=opt_freqs_single_patch,\n", - " name=\"far_field\",\n", - " phi=phi_opt,\n", - " theta=theta_opt,\n", - " far_field_approx=True,\n", - " proj_distance=50 * wavelength0, # project far away form antenna\n", - ")\n", - "\n", - "single_patch_optimization_monitors = [monitor_directivity, monitor_radiation, monitor_far_field]\n", - "\n", - "initial_poynting_flux, initial_s11 = compute_poynting_and_s11(\n", - " patch_init_wh,\n", - " params_to_boxes_single_patch,\n", - " sub_x_single_patch,\n", - " sub_y_single_patch,\n", - " single_patch_optimization_monitors,\n", - " opt_freqs_single_patch,\n", - ")\n", - "\n", - "# Set up the objective function for the single patch that is a function\n", - "# of the patch width and height\n", - "obj_fn = lambda patch_wh: objective_fn(\n", - " patch_wh,\n", - " params_to_boxes_single_patch,\n", - " sub_x_single_patch,\n", - " sub_y_single_patch,\n", - " single_patch_optimization_monitors,\n", - " opt_freqs_single_patch,\n", - " initial_poynting_flux,\n", - ")\n", - "\n", - "# Get function to compute the gradient of the objective\n", - "obj_val_and_grad = value_and_grad(obj_fn)\n", - "\n", - "patch_wh = patch_init_wh.copy()\n", - "\n", - "# Set up optimization parameters and optimizer\n", - "learning_rate = 30\n", - "optimizer = optax.adam(learning_rate=learning_rate, b1=0.8)\n", - "opt_state = optimizer.init(patch_wh)\n", - "\n", - "num_steps = 60\n", - "print_iteration_frequency = 1\n", - "\n", - "full_eval_frequency = 10\n", - "s11_sq_dB_evolution = []\n", - "s11_f_ghz = None\n", - "realized_gain_evolution = []\n", - "theta_eval_evolution = None\n", - "\n", - "# Set bounds on patch width and height in the optimization\n", - "clip_min_single = anp.array([patch_min_width, patch_min_height])\n", - "clip_max_single = anp.array([patch_max_width, patch_max_height])\n", - "\n", - "figure_of_merit_single_patch = np.zeros(num_steps + 1)\n", - "\n", - "def pack_optimization_state(iter_idx):\n", - " optimization_state['iteration'] = iter_idx\n", - " optimization_state['figure of merit'] = figure_of_merit_single_patch\n", - " optimization_state['realized gain evolution'] = realized_gain_evolution\n", - " optimization_state['opt state'] = opt_state\n", - " optimization_state['patch parameters'] = patch_wh\n", - " \n", - "optimization_state = {}\n", - "if not os.path.exists(restart_fname):\n", - " pack_optimization_state(iter_idx=0)\n", - "\n", - "if restart_optimization:\n", - " with open(restart_fname, 'rb') as file:\n", - " optimization_state = pickle.load(file)\n", - "\n", - "start_idx = 0\n", - "if restart_optimization:\n", - " start_idx = optimization_state['iteration']\n", - " figure_of_merit_single_patch = optimization_state['figure of merit']\n", - " realized_gain_evolution = optimization_state['realized gain evolution']\n", - " opt_state = optimization_state['opt state']\n", - " patch_wh = optimization_state['patch parameters']\n", - "\n", - "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", - "# at each step and clipping the design on the bounds\n", - "for step_idx in range(start_idx, num_steps):\n", - " pack_optimization_state(iter_idx=step_idx)\n", - " with open(restart_fname, \"wb\") as file:\n", - " pickle.dump(optimization_state, file)\n", - " \n", - " f, g = obj_val_and_grad(patch_wh)\n", - "\n", - " figure_of_merit_single_patch[step_idx] = f\n", - "\n", - " if (step_idx % full_eval_frequency) == 0:\n", - " \n", - " smatrix_data_eval, theta_eval, realized_gain_eval = evaluate_single_antenna(\n", - " patch_wh, freqs_s_params, opt_freqs_single_patch\n", - " )\n", - " smatrix_eval = smatrix_data_eval.smatrix()\n", - " smatrix_f_ghz = smatrix_eval.data.coords[\"f\"] / 1e9\n", - " s11_f_ghz = smatrix_f_ghz.copy()\n", - " s11_data_selection = smatrix_eval.data.isel(port_out=0, port_in=0)\n", - " s11_sq_dB_evolution.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", - " \n", - " realized_gain_evolution.append(\n", - " {\n", - " \"Gtheta\" : realized_gain_eval[\"Gtheta\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", - " \"Gphi\" : realized_gain_eval[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values\n", - " } \n", - " )\n", - " \n", - " theta_eval_evolution = theta_eval.copy()\n", - " \n", - " updates, opt_state = optimizer.update(-g, opt_state, patch_wh)\n", - "\n", - " patch_wh = optax.apply_updates(patch_wh, updates)\n", - " patch_wh = anp.array(patch_wh)\n", - " patch_wh = anp.clip(patch_wh, a_min=clip_min_single, a_max=clip_max_single)\n", - "\n", - " if (step_idx % print_iteration_frequency) == 0:\n", - " output_text = Text.assemble(\n", - " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", - " \"\\n\",\n", - " (f\"\\tGradient (width, height): \", \"\"),\n", - " (f\"{g[0]:.8f}, {g[1]:.5f}\", \"magenta\"),\n", - " \"\\n\",\n", - " (f\"\\tUpdates (width, height): \", \"\"),\n", - " (f\"{updates[0]:.8f}, {updates[1]:.2f}\", \"magenta\"),\n", - " \"\\n\",\n", - " (f\"\\tParams (width, height): \", \"\"),\n", - " (f\"{patch_wh[0]:.8f}, {patch_wh[1]:.2f}\", \"blue\"),\n", - " \"\\n\",\n", - " (f\"\\tFigure of merit: \", \"bold\"),\n", - " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", - " )\n", - " console.print(output_text)\n", - "\n", - "figure_of_merit_single_patch[num_steps] = obj_fn(patch_wh)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Below, we plot the optimization output, including the figure of merit as a function of iteration and a comparison of the initial and final patch geometry. During the optimization, we also tracked how the `S11` coefficient and realized gain were evolving as the optimizer tuned the patch width and height. This evolution is visualized as well, showing the resonance moving towards the desired frequency and the antenna gain increasing accordingly." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot the results of the optimization including the optimization trajectory and the resulting patch geometry\n", - "# compared to the initial state\n", - "plot_optimization_results(\n", - " figure_of_merit_single_patch,\n", - " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", - " params_to_boxes_single_patch(patch_init_wh),\n", - " params_to_boxes_single_patch(patch_wh),\n", - ")\n", - "\n", - "# Plot the evolution of the antenna S11 and realized gain during the course of the optimization\n", - "plot_antenna_evolution(s11_sq_dB_evolution, s11_f_ghz, realized_gain_evolution, opt_freqs_single_patch, theta_eval_evolution)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we plot a performance comparison between our initial final antenna states including the realized gain for both polarization." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
16:11:51 EDT Component modeler batch validation has been successful.            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:11:51 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
16:12:35 EDT Component modeler batch validation has been successful.            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:12:35 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Compute S11 and realized gain for the inital patch geometry\n", - "smatrix_data_init, theta, realized_gain_init = evaluate_single_antenna(\n", - " patch_init_wh, freqs_s_params, opt_freqs_single_patch\n", - ")\n", - "# Compute S11 and realized gain for the optimized patch geometry\n", - "smatrix_data_final, theta, realized_gain_final = evaluate_single_antenna(\n", - " patch_wh, freqs_s_params, opt_freqs_single_patch\n", - ")\n", - "\n", - "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=0\n", - "plot_phi = 0.0\n", - "plot_antenna_comparison(\n", - " [smatrix_data_init.smatrix(), smatrix_data_final.smatrix()],\n", - " [smatrix_data_init.data, smatrix_data_final.data],\n", - " [realized_gain_init, realized_gain_final],\n", - " opt_freqs_single_patch,\n", - " theta,\n", - " plot_phi,\n", - " sim_names=[\"before optimization\", \"after optimization\"],\n", - " plot_title=f\"Antenna Comparison (phi=0)\",\n", - ")\n", - "\n", - "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=pi / 2\n", - "plot_phi = np.pi / 2.0\n", - "plot_antenna_comparison(\n", - " [smatrix_data_init.smatrix(), smatrix_data_final.smatrix()],\n", - " [smatrix_data_init.data, smatrix_data_final.data],\n", - " [realized_gain_init, realized_gain_final],\n", - " opt_freqs_single_patch,\n", - " theta,\n", - " plot_phi,\n", - " sim_names=[\"before optimization\", \"after optimization\"],\n", - " plot_title=f\"Antenna Comparison (phi=\\u03a0 / 2)\",\n", - ")\n", - "# Save results of optimization\n", - "np.save(\"misc/single_patch_box_antenna_optimization.npy\", patch_wh)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Expanding the Design Space: Optimizing a Patch Antenna with Coupled Passive Radiators\n", - "\n", - "In the next optimization, we optimize a patch antenna for dual-band operation. The appropriate choice of patch width and height for a single radiator doesn't typically require an advanced optimization technique. Based on the patch antenna operating principle, initial values for these parameters can be found and small tweaks or even parameter sweeps can identify geometries with the desired resonant behavior. By optimizing via the adjoint method in the single patch example, we validated we could also optimize the geometry via gradients. However, in cases where there are not intuitive solutions or we would like to take advantage of a larger number of degrees of freedom, the adjoint method becomes increasingly useful. Below, we allow the patch to have a more interesting shape by creating an optimizable inset at the feed connection as well as fin structures on the top antenna edge. Additionally, we add passive radiating structures that couple to the central patch and optimize both their size and relative position to the central patch. The degrees of freedom are indicated in the diagram below, but in summary we move the 2-dimensional patch antenna optimization to one with 18 dimensions.\n", - "\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "num_passive_radiators = 2\n", - "\n", - "# set min/max patch dimensions for the central and all surrounding patches\n", - "min_patch_dimensions_mm = sum(\n", - " [[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], []\n", - ")\n", - "max_patch_dimensions_mm = sum(\n", - " [[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], []\n", - ")\n", - "\n", - "# set min/max gap between central patch and each surrounding patch\n", - "min_gap_mm = [0.5 * mm for idx in range(0, num_passive_radiators)]\n", - "max_gap_mm = [5 * mm for idx in range(0, num_passive_radiators)]\n", - "\n", - "# set min/max offset of each surrounding patch center relative to the central patch center\n", - "min_offset_mm = [-10 * mm for idx in range(0, num_passive_radiators)]\n", - "max_offset_mm = [10 * mm for idx in range(0, num_passive_radiators)]\n", - "\n", - "# set the min/max of the patch inset (i.e. - how much the central patch surrounds the feed line)\n", - "max_patch_inset = 6 * mm\n", - "min_patch_inset = 1 * mm\n", - "init_patch_inset = 0.5 * (min_patch_inset + max_patch_inset)\n", - "\n", - "# set the min/max of the inset height and the gap between the feed line and the inset\n", - "min_inset_height = 1 * mm\n", - "max_inset_height = 6 * mm\n", - "min_inset_gap = 0.5 * mm\n", - "max_inset_gap = 2.0 * mm\n", - "\n", - "min_inset = [min_inset_height, min_inset_height, min_inset_gap, min_inset_gap]\n", - "max_inset = [max_inset_height, max_inset_height, max_inset_gap, max_inset_gap]\n", - "\n", - "# set the min/max of the fin widths and heights at the top of the central patch\n", - "min_fin_width = 1 * mm\n", - "max_fin_width = 6*mm#10 * mm\n", - "min_fin_height = 1 * mm\n", - "max_fin_height = 6*mm#10 * mm\n", - "\n", - "min_fin = [min_fin_width, min_fin_height, min_fin_width, min_fin_height]\n", - "max_fin = [max_fin_width, max_fin_height, max_fin_width, max_fin_height]\n", - "\n", - "# combine all the min/max values into clipping arrays to use in the optimization\n", - "clip_min_values = min_patch_dimensions_mm + min_gap_mm + min_offset_mm + min_inset + min_fin\n", - "clip_max_values = max_patch_dimensions_mm + max_gap_mm + max_offset_mm + max_inset + max_fin\n", - "\n", - "# set initial passive patch sizes\n", - "min_dim_avg = 0.5 * (patch_min_width + patch_min_height)\n", - "init_passive_wh = [\n", - " min_dim_avg,\n", - " 0.5 * (patch_min_height + patch_max_height),\n", - " min_dim_avg,\n", - " 0.5 * (patch_min_height + patch_max_height),\n", - "]\n", - "\n", - "# set the initial passive patch gaps to the central patch\n", - "init_gap_sizes = [2 * mm for idx in range(0, num_passive_radiators)]\n", - "\n", - "# set the initial passive patch offsets to the fixed central patch center\n", - "init_offset_coord_locations = [0.5 * patch_init_wh[1], 0.5 * patch_init_wh[1]]\n", - "\n", - "# start the central patch at the same initial width/height as in the single patch case\n", - "init_central = list(patch_init_wh.copy())\n", - "\n", - "# collect all the passive parameters\n", - "init_passive = init_passive_wh + init_gap_sizes + init_offset_coord_locations\n", - "\n", - "# initialize inset heights and gaps\n", - "init_inset_height = 3 * mm\n", - "init_inset_gap = 0.75 * mm\n", - "init_inset = [init_inset_height, init_inset_height, init_inset_gap, init_inset_gap]\n", - "\n", - "# initialize fin widths and heights\n", - "init_fin_width = 2.5 * mm\n", - "init_fin_height = 4 * mm\n", - "init_fin = [init_fin_width, init_fin_height, init_fin_width, init_fin_height]\n", - "\n", - "# combine the initial parameters together\n", - "init_params = init_central + init_passive + init_inset + init_fin\n", - "\n", - "assert (\n", - " num_passive_radiators == 2\n", - "), \"The multi patch optimization is set up specifically for 2 passive radiators.\"\n", - "\n", - "def params_to_boxes_multi_patch(params):\n", - " \"\"\"\n", - " Unpack the multi-patch optimization parameters into patch geometries for the central\n", - " patch and the surrounding passive radiating patches.\n", - " \"\"\" \n", - " inset_height_left = params[-8]\n", - " inset_height_right = params[-7]\n", - " inset_gap_left = params[-6]\n", - " inset_gap_right = params[-5]\n", - "\n", - " fin_left_width = params[-4]\n", - " fin_left_height = params[-3]\n", - " fin_right_width = params[-2]\n", - " fin_right_height = params[-1]\n", - "\n", - " num_params_wh_central = 2\n", - " wh_central = params[0:num_params_wh_central]\n", - "\n", - " wh_passive_params = params[num_params_wh_central:]\n", - " num_params_wh_passive = 2\n", - "\n", - " wh_passive = []\n", - " for idx in range(0, num_passive_radiators):\n", - " wh_passive.append(\n", - " wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)]\n", - " )\n", - "\n", - " gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators :]\n", - " gaps = gap_params[0:num_passive_radiators]\n", - "\n", - " offset_params = gap_params[num_passive_radiators:]\n", - " offset_coords = offset_params[0:num_passive_radiators]\n", - "\n", - " left_central = -0.5 * wh_central[0]\n", - " right_central = 0.5 * wh_central[0]\n", - "\n", - " left_passive_patch_idx = 0\n", - " right_passive_patch_idx = 1\n", - "\n", - " left_passive_right = left_central - gaps[left_passive_patch_idx]\n", - " left_passive_left = left_passive_right - wh_passive[left_passive_patch_idx][0]\n", - " left_passive_bottom = (\n", - " offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n", - " )\n", - " left_passive_top = (\n", - " offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n", - " )\n", - "\n", - " right_passive_left = right_central + gaps[right_passive_patch_idx]\n", - " right_passive_right = right_passive_left + wh_passive[right_passive_patch_idx][0]\n", - " right_passive_bottom = (\n", - " offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n", - " )\n", - " right_passive_top = (\n", - " offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n", - " )\n", - "\n", - " inset_left = td.Box.from_bounds(\n", - " [-0.5 * wh_central[0], -inset_height_left, sub_z / 2.0],\n", - " [feed_offset - 0.5 * feed_x - inset_gap_left, 0.0, sub_z / 2.0],\n", - " )\n", - "\n", - " inset_right = td.Box.from_bounds(\n", - " [feed_offset + 0.5 * feed_x + inset_gap_right, -inset_height_right, sub_z / 2.0],\n", - " [0.5 * wh_central[0], 0, sub_z / 2.0],\n", - " )\n", - "\n", - " fin_left = td.Box.from_bounds(\n", - " [-0.5 * wh_central[0], wh_central[1], sub_z / 2.0],\n", - " [-0.5 * wh_central[0] + fin_left_width, wh_central[1] + fin_left_height, sub_z / 2.0],\n", - " )\n", - "\n", - " fin_right = td.Box.from_bounds(\n", - " [0.5 * wh_central[0] - fin_right_width, wh_central[1], sub_z / 2.0],\n", - " [0.5 * wh_central[0], wh_central[1] + fin_right_height, sub_z / 2.0],\n", - " )\n", - "\n", - " boxes = [\n", - " # central patch\n", - " td.Box.from_bounds(\n", - " [-0.5 * wh_central[0], 0, sub_z / 2], [0.5 * wh_central[0], wh_central[1], sub_z / 2]\n", - " ),\n", - " # inset patches\n", - " inset_left,\n", - " inset_right,\n", - " # fin patches\n", - " fin_left,\n", - " fin_right,\n", - " # passive patches\n", - " td.Box.from_bounds(\n", - " [left_passive_left, left_passive_bottom, sub_z / 2],\n", - " [left_passive_right, left_passive_top, sub_z / 2],\n", - " ),\n", - " td.Box.from_bounds(\n", - " [right_passive_left, right_passive_bottom, sub_z / 2],\n", - " [right_passive_right, right_passive_top, sub_z / 2],\n", - " ),\n", - " ]\n", - "\n", - " return boxes\n", - "\n", - "\n", - "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", - "plot_structures_and_mesh(\n", - " params_to_boxes_multi_patch(init_params), sub_x_multi_patch, sub_y_multi_patch\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Similar to the single patch case, we set up a function to evaluate the performance of the antenna during and after the optimization." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "# Helper function for evaluating antenna performance for the multi patch geometry\n", - "evaluate_multi_antenna = lambda patch_params, eval_s_params_freqs, opt_freqs: (\n", - " evaluate_antenna(\n", - " params_to_boxes_multi_patch(patch_params),\n", - " eval_s_params_freqs,\n", - " opt_freqs,\n", - " sub_x_multi_patch,\n", - " sub_y_multi_patch,\n", - " )\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we set up monitors for computing the figures of merit and then run the antenna optimization." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
16:13:17 EDT Component modeler batch validation has been successful.            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:13:17 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
16:17:26 EDT Component modeler batch validation has been successful.            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:17:26 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 1\n",
-       "        Figure of merit: 0.19\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 1\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.19\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 2\n",
-       "        Figure of merit: 0.22\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 2\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.22\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 3\n",
-       "        Figure of merit: 0.23\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 3\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.23\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 4\n",
-       "        Figure of merit: 0.24\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 4\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.24\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 5\n",
-       "        Figure of merit: 0.25\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 5\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.25\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 6\n",
-       "        Figure of merit: 0.26\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 6\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.26\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 7\n",
-       "        Figure of merit: 0.27\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 7\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.27\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 8\n",
-       "        Figure of merit: 0.28\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 8\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.28\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 9\n",
-       "        Figure of merit: 0.29\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 9\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.29\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 10\n",
-       "        Figure of merit: 0.30\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 10\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.30\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
16:33:48 EDT Component modeler batch validation has been successful.            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m16:33:48 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 11\n",
-       "        Figure of merit: 0.30\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 11\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.30\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 12\n",
-       "        Figure of merit: 0.31\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 12\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.31\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 13\n",
-       "        Figure of merit: 0.34\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 13\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.34\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 14\n",
-       "        Figure of merit: 0.35\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 14\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.35\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 15\n",
-       "        Figure of merit: 0.36\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 15\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.36\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 16\n",
-       "        Figure of merit: 0.37\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 16\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.37\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 17\n",
-       "        Figure of merit: 0.38\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 17\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.38\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 18\n",
-       "        Figure of merit: 0.38\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 18\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.38\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 19\n",
-       "        Figure of merit: 0.41\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 19\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.41\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 20\n",
-       "        Figure of merit: 0.43\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 20\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.43\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
17:22:09 EDT Component modeler batch validation has been successful.            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m17:22:09 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 21\n",
-       "        Figure of merit: 0.45\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 21\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.45\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 22\n",
-       "        Figure of merit: 0.47\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 22\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.47\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 23\n",
-       "        Figure of merit: 0.51\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 23\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.51\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 24\n",
-       "        Figure of merit: 0.63\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 24\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.63\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 25\n",
-       "        Figure of merit: 0.73\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 25\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.73\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 26\n",
-       "        Figure of merit: 0.84\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 26\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.84\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 27\n",
-       "        Figure of merit: 0.95\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 27\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.95\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 28\n",
-       "        Figure of merit: 1.10\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 28\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.10\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 29\n",
-       "        Figure of merit: 1.37\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 29\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.37\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 30\n",
-       "        Figure of merit: 1.69\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 30\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.69\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
17:43:44 EDT Component modeler batch validation has been successful.            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m17:43:44 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, + } + ], + "source": [ + "# Compute S11 and realized gain for the initial patch geometry\n", + "smatrix_data_init, theta, realized_gain_init = evaluate_single_antenna(\n", + " patch_init_wh, freqs_s_params, opt_freqs_single_patch\n", + ")\n", + "# Compute S11 and realized gain for the optimized patch geometry\n", + "smatrix_data_final, theta, realized_gain_final = evaluate_single_antenna(\n", + " patch_wh, freqs_s_params, opt_freqs_single_patch\n", + ")\n", + "\n", + "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=0\n", + "plot_phi = 0.0\n", + "plot_antenna_comparison(\n", + " [smatrix_data_init.smatrix(), smatrix_data_final.smatrix()],\n", + " [smatrix_data_init.data, smatrix_data_final.data],\n", + " [realized_gain_init, realized_gain_final],\n", + " opt_freqs_single_patch,\n", + " theta,\n", + " plot_phi,\n", + " sim_names=[\"before optimization\", \"after optimization\"],\n", + " plot_title=f\"Antenna Comparison (phi=0)\",\n", + ")\n", + "\n", + "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=pi / 2\n", + "plot_phi = np.pi / 2.0\n", + "plot_antenna_comparison(\n", + " [smatrix_data_init.smatrix(), smatrix_data_final.smatrix()],\n", + " [smatrix_data_init.data, smatrix_data_final.data],\n", + " [realized_gain_init, realized_gain_final],\n", + " opt_freqs_single_patch,\n", + " theta,\n", + " plot_phi,\n", + " sim_names=[\"before optimization\", \"after optimization\"],\n", + " plot_title=f\"Antenna Comparison (phi=\\u03a0 / 2)\",\n", + ")\n", + "# Save results of optimization\n", + "np.save(\"misc/single_patch_box_antenna_optimization.npy\", patch_wh)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Expanding the Design Space: Optimizing a Patch Antenna with Coupled Passive Radiators\n", + "\n", + "In the next optimization, we optimize a patch antenna for dual-band operation. The appropriate choice of patch width and height for a single radiator doesn't typically require an advanced optimization technique. Based on the patch antenna operating principle, initial values for these parameters can be found and small tweaks or even parameter sweeps can identify geometries with the desired resonant behavior. By optimizing via the adjoint method in the single patch example, we validated we could also optimize the geometry via gradients. However, in cases where there are not intuitive solutions or we would like to take advantage of a larger number of degrees of freedom, the adjoint method becomes increasingly useful. Below, we allow the patch to have a more interesting shape by creating an optimizable inset at the feed connection as well as fin structures on the top antenna edge. Additionally, we add passive radiating structures that couple to the central patch and optimize both their size and relative position to the central patch. The degrees of freedom are indicated in the diagram below, but in summary we move the 2-dimensional patch antenna optimization to one with 18 dimensions.\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ { "data": { - "text/html": [ - "
Iteration 31\n",
-       "        Figure of merit: 2.12\n",
-       "
\n" - ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfAAAAHHCAYAAABA0wrzAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjYsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvq6yFwwAAAAlwSFlzAAAPYQAAD2EBqD+naQAAZYZJREFUeJztnQmcTXX/x7+zmWEwrrGHQooIRbZI2aOylQjZHmTLUik9IvJPyZMt2yNLQqIHT6WUJZQtSz2UpbKEhDBm7Ms4/9fnN87t3Dt3OXfunZlz7/28X687c+6553Pu75zzu+d7fp/fFqFpmiaEEEIICSoiszsBhBBCCPEdBnBCCCEkCGEAJ4QQQoIQBnBCCCEkCGEAJ4QQQoIQBnBCCCEkCGEAJ4QQQoIQBnBCCCEkCGEAJ4QQQoIQBnBCQoh169ZJRESE+k9Ci++//15y5Mghv//+u1iFlStXSu7cueWvv/7K7qSEJQzghAQhU6dOlblz50owsnDhQpkwYYJYgZs3b8rYsWOlVKlSEhcXJ5UqVZKPPvrIlHbDhg3yxBNPSIkSJZS2SJEi0rRpU9m4caNH3blz56RQoULqQeuTTz4xndZ//vOf0r59e7n99tvFKuB477zzThkzZkx2JyUsYQAnJIQC+EMPPSSXL19W/62KlQI4guLLL78sjRo1ksmTJ0vJkiXlmWeekUWLFnnV/vLLLxIZGSnPPfecTJkyRV588UU5ceKEOvcombpj+PDhcunSJZ/S+eOPP8rq1avVd1mNXr16yYwZM+T8+fPZnZTwA5OZEBKMXLhwQQtXKlSooNWrV08LRpo3b67dfvvt2Z0M7dixY1pMTIzWt29f+7qbN29qdevW1YoXL67duHHD531evHhRK1y4sNakSROXn+/evVuLjo7WRo0ahUmktCVLlpja7/PPP6+VLFlSpc9qnDx5UouKitJmzZqV3UkJO1gCJ5bgjz/+kO7du0uxYsUkNjZWWZq9e/eWa9euqc9R2oTluH79eunTp4+yIIsXL+5QIq1QoYLSYh99+/ZVVqWRX3/9Vdq0aaOsTlie0Ldr106Sk5Pt26xatUrq1Kkj+fLlU3V7d999t7z66qte029Gd/XqVRkxYoSyHJFOWK9DhgxR652ZP3++VK9eXXLlyiU2m02V6r7++mv12R133CE///yzOhc4J3g9/PDDHuvAlyxZIlWrVpWcOXNKgQIFpGPHjuqcG+nSpYtKO9a3bNlSLRcsWFCVLFNTU72eg//+97/SvHlz+zUsU6aMvPHGGw5apHPFihWqHldPO47HHUiTvp3z6/XXX/eaJm/pvX79uspPOtgv8t2xY8dk8+bNPu8T1wvnzDnv6QwYMEBatWoldevW9Wm/y5cvl/r166v0GcG5e+yxx9T1rlatmrq+9957r/36L126VL1Hfsf1/+GHH1xe8yNHjqj9YPm2225TjgLYvXu3+t74+Hhl3cM9cQa/RVQ94HySrCU6i7+PkHQcP35cBSvc9Hr27CnlypVTQQT1g7Aa0XBHBzdb3CBhQ168eFGtw4185MiR0rBhQ3Xz3b9/v0ybNk22bdum6iNjYmLUg0CTJk1UsOzfv78K4viOzz//XH1vQkKCCoq4ieFmNGrUKBWEfvvtN691mmZ0qGtFfel3332njrF8+fLq5jh+/HhlxeIGrYNjwTHVrl1b7Q/Hv3XrVlm7dq00btxY2c84BtxsYQGDwoULu00fHn66du0qDzzwgKqrPHnypEycOFGlDzd0PHToINjiPNWoUUPGjRunbNt//etfKhjj3HoC34M0DR48WP1HenGdUlJS5J133lHbIL14YEKAxLEDbOvJnsV1NQJ7esGCBSpw6Jw+fVrMkCdPHnV9AI4dgQnXwgjyov45Hsq8geND/kIa5s2bJz/99JPLhz48RG3atEn27t0rhw8fFrMgnyLA3n///S4/R16D7Y9zhQczXLfHH39cpk+frtKhP6Dg2rdt21b9PmD9G6/5o48+qh4S0R4A57Zfv37q3OB6dejQQVq3bq329+yzz0qtWrXUA7YRPBwY8zDJIrLbAiDk2Wef1SIjI7Vt27al+0y3DOfMmaMsxzp16jhYm6dOndJy5MihNW7cWEtNTbWvf++999T2s2fPVu9/+OEHr5bl+PHj1TZ//fWXT+k3o/vwww/VMX777bcO66dPn660GzduVO9//fVXtV2rVq0cjsd4LjxZ6N98843aH/6Da9euaYUKFdIqVqyoXb582b7d559/rrYbPny4fV3nzp3VOti7Ru677z6tatWqXs/DpUuX0q3r1auXlitXLu3KlSsBsdBxfhISErRGjRo55AOk28wL+ciYjtKlS7u0wbHtK6+8YipNsMv1/SMv4piN51o/N7DAhw4d6nCdzFjoq1evVtt+9tln6T7DecRnmzZtsq/76quv1LqcOXNqv//+u339jBkzHPKG8Zq/+eab9nVJSUlKGxERoS1atMi+ft++fWrbESNGpEsH9PgMdjrJOmihk2wFJVM8uaPEAAvQGWfLsEePHhIVFWV/jxIiSj8DBw50KFVgu7x58yq7FqCEDb766iu3DYj0kiisQKTLLGZ0KH2hpAd3ASU1/QV7EnzzzTfqP84F9oGSq/F4XJ0LM2zfvl1OnTqlSmGwUXVgdSMt+vkx4txQCnbvwYMHvX4X7FsdNGjC8UGL871v3z7xFzgusJ9RpYCW4sZ8gCoMMy+4Czpo7KeXxo3o5wmfm+Gtt95S1RuzZs2SmjVrqvx448aNdNvArjdTHePMmTNn1H8ctyvuueceVSrWgXsCkLfQKM95vatr+Y9//MMhP6MKCCVwlNh1sA6fudLraTPrhJDAQAudZCvoPwoLsmLFiqa2d7bu9D6xuLkYge1cunRp++fQwdp99913lUWIwAJLG5ajHtyffvppef/999XN7JVXXpEGDRoo6/DJJ59MF0yNmNGh/h3WKex/VyDIggMHDigNbsqBwN35AQjgsPSdg5dzGnFzTkpK8vpdqEoYNmyYss5xTY0Y2xlkFDyU4fzAhk5MTHT4zNlmNwMeOFy1P7hy5Yr9czNUqVLFvoz8BKsbdct6FzHY5ahCQL2yp+oCb6QZDekxBmmg52e0sXC13vlaurrm2BZtRJwfGrHeVV7Q05aRh0yScRjASVBh9qbqCtTl4saKkjJKTM8//7yqF9yyZYu6WWHf6NuL0jBKpqhr/fjjj1VJBtsbS3zOafKmQ6kajYnwAOEK55ttduHuGL2BdgT16tVTrgfq7VFnjsCwc+dO1U3LF0fDFaizR6kbjfuMAVMH3bfMgACk56GiRYuqa4bgYww8f/75p/qPxni+ggdHPBiixI0SPL4LbgoahqEBn173racXD7BYhyDs7iFRf1hx9xDl7pq5W+/8IOCv3pg2NJAkWQcDOMlW8OSPmz4a/mQEfVALNMxBiVsHNuahQ4fSlcwQRPFCSREluQcffFA1zhk9erT6HDdRlKDxQrB98803VUMe3Og9lfK86RDQ/ve//6nPPZVSsB2C3Z49e1wGKh2zJR3j+dHteh2sC9SgIGj1DKsXrZ6NfdBxDZzxtZT27bffqpbwqCZBgypXIBibYc6cOeohDuD8wjmBM2J0PNBgUP88IyBwI8ihGgEBHA3Q0NDMmD919AZmCIDGxoTOTom7c2kVkDYEb3cOE8kcWAdOshUEPnRZ+uyzz1R9rVnbUAfBEaWeSZMmOWyL+kjYtqjrBbB0neslEcjx/bqNevbs2XT712/irqxWHTM61CWiNfHMmTNd3vD1FvU4F0gTSrHOpVbj8aF+0l1XJSNoV4DW2nhIMR7Dl19+qQKXfn78RS+tGdOIhyh073MGaTdrqaM0jHOH1uB6S3ZXZKQOvEWLFqqHgjGNSD/OFUrM6AVgTAfq8VGP7VztYQTX5D//+Y9yVPRW8ng4XLZsmcML3esAuhHiPc6JO5AW7M/V78Mq7Nixw6EenmQNLIGTbAelVVjNsGD1Lla4YaLhF+po3ZVMAJ74hw4dqrpeYVhH2JcoWeKmjG5TqJMEqJdF15innnpK7rrrLhXMP/zwQxV40DccIGjCCkdQQ8kUN2jsB/a6p+5EZnSdOnWSxYsXqwZiKJWj5I/uOwgKWI/GdQi26COOkjtu8KinR106GlqhSxwsXX3ISnTbQVc5BAdoECycS9gAAertt99W3chwfjEUp96NDH2IBw0aJIEAwQ515Z07d1ZVEyhl4/y6egBD2lHFgDYJuEaoF0YjRldgX7CZEeicR0dDtz28MloHjuuDUj0eDBCYkRY0IkSJH+0kjBYy8tgHH3ygSpp6v3V0vcI+0DgM5x8lbZTw0S0Sx6fjKu/oeRrfiYc2b+BhA4He2e63Asjvu3btUmMvkCwmC1u8E+IWdHdBd7KCBQtqsbGxqnsPRsi6evWqQzcyV13N9G5j5cqVUyNrYSSs3r17q+4wOgcPHtS6deumlSlTRouLi9Py58+vPfLII6qLjs6aNWu0Fi1aaMWKFVPdgfC/ffv22i+//OIx7WZ16NL19ttvqy5gOEabzaa6Z40cOVJLTk522Bbd39B9S98OXcZWrVpl//zEiROqG1SePHnUedG7lDl3I9P5+OOP7fvDsXfo0EGNRGYEXYri4+PTHR+6DZm5VaArXM2aNVUXJJyDIUOG2Ls0GdODEfSeeeYZLV++fOozT13KcFzuuoS56s7kK+iqhy5QSAOuHa7N/Pnz022nd7c6dOiQQ55Dt8YCBQqo0dWQdx9//HFtw4YNXr/Xl25kYOfOnWp7526ISDfygTPY1jjCHEDasf6dd97xes1x3nEunHH1fdOmTVNdBVNSUkwdCwkcEfiT1Q8NhBBCfAPtJ+DCwNmwEvfdd59qoKcPzEOyDgZwQggJAtC4DtUq6JJolRnJ0OMC3SXRN9w4Mh7JGhjACSGEkCCErdAJIYSQIIQBnBBCCAlCGMAJIYSQIIQBnBBCCAlCOJBLAMHIWRjEAXMOW22wBUIIIdZDH3YXXQQ9TZrkCgbwAILgjZGuKlSooIZtLFy4sBopChNcYBxkjDCG0ZSwDmNeYwQuDD+IYRIxSQNG8sKYzhjFC6Mz5c+fX2bMmKHGf8ZwoRjlCSNqYYhKjBTVq1cvNYwnRo/q1q2bmiAB02ti9LGjR4/K5s2b1TCUmMEJIyVhKkYMn4kuH/gurMOoXI0aNVLDNGLax8aNG6tRxQBGmMIY1xjmEaOEZeSYMEJWkSJFZPbs2aaOCSOVXbhwQe2nd+/ecuzYMdVVJaPHhCFKMQIZxj3XRwxbv36912PChCeYVaps2bKq3y2miczoMWX0OmHUL4zEhglBMDIdvhcjsmX0mDJynZBGjJSG4UVxbTDsK0YkC3Te83ZMa9asUb8NXBMcB0ZDC3TeM3NMzz77rOrGhWuCfWLM+kDnPU/HhH2jCxlG4cP5xeQsmOUsq+4R+jGhSxsKKRj3HseBMd+z6h5hPKY+ffqo38YXX3yhjgmj4WXVPQLHVLlyZTWOPu4ROBcY9nbu3Lk+HxPA9cDIfr7AbmQBBOM7I2NiUAMEQ2RwDC+JYRoRlDA0IzI6MgyetDBbE7ZzXsbQmRgCExpcYMxGhLG8sR/jMiYPwNjLGBYUy3AAkLGRQXDTxQQJ2I8+brbzcq5cudTTH27KGNYTzgHSgP1hghF3y9HR0WriCqQVx4dlHBuGhzQuY25gbItljMON79GPT5+yEcdtXMZ2OA6cJ2xnPD4sI504B8ZlHCc0WMa2OD/4Xhyfu2U88erXA9cJx4dzirTi+jgv4zj164EfI47DeHxYxjnF+cE5MC7r1wP70Y8PacBxOy/j+ujXAxrsB8eH64TvNS7rY7Dry+7ym5m8h+MwHp+ZvOec38zkPWiMx2cm7yFtxuMzk/eQduPvyUzec5XfvOU9/Df+nszkPeB8rN7ynqv85i3v4RwYf09m8p6e3/Tfk5m8h+Mw/p7M5D13+c1T3gPG39NZE3nPXX7zlPec85uZvGfMb873cnd5D+nF8eG6IIgjH+lTvpqFJfAAoj+R4uLoE2cgI+GlTySBH4y+jAyGC++8rM8ZjEygX2hkFLyMy9gvMhteWAbYHiCz4KWvc7WsT6uI9CCD4T0yGL7D07K+f/343C3radHPgT4RhB7M3C0jLfo5MB6fu2X92PVl43zO3pb1GyreI+1IM35wzst46dfDeC6djxXnyNWyvg/9+PTr7bys5w99Wd+/8fj0Zezf1bK7/OYp7xnzm/FYPeU95/xmJu8Z85vxWL3lN+Pxmcl7eBl/T2byntn85pz3jL8nM3lPz2/GY/WW99zlN095Dy/j78lM3vOU39zlPeNvzl1+c8577vKbp7znKb/Fucl77vKbp7znnN/M5D1jfnO+l3vKbzg23TbPSLUrA3iAgQ2jz3Lkan5c43szy9RQQw011ISu5rphhjtfYQDPJCtdfyJ1nvDe7DI11FBDDTWhr7nhNM1xUHcje/3115WVYHzpE9oDBEZMW4c6EdgQmAoSDRI8gXqb4cOHq0YwsEjQwAANUYygngMNDFAHgjqN7t27q7oYX0EDCNhrhBBCiDf8CeCWjDRoxY2WkjrGgIj5i9ESEHNFo8Ifczyjpe7GjRvd7m/s2LEyadIk1Xq2VKlS8tprr0mTJk1UC1K9ngTBG60Z0eIQlgZaCGJu6oULF/qUdrRexOD+tNCpoYYaaqgJOwsdARtN8F1Z07NmzVJBtX79+modmuOjSf+WLVtUVx9Xpe8JEybIsGHDVN00mDdvnuoWgG4I7dq1U10M0FUJXXTQbQBMnjxZmjVrJuPGjVP988yCBgzsA04IIcQMaCkfUgEc9jaCJkrH6JY1ZswYKVmypOzYsUM9rcAC14G9js/Q989VAEdfWvR9NGpQckcfZ2gQwPEftrkevAG2R+tA9HdEP0KzYB+w3p3td6vXw1BDDTXUUJP1Gr11fkjUgSOwoiM8SsQYrAABGHPgop8hAjGa9CPYGkFpGp+5Ql+Pbdxp8N95Llu4AOiT6G6/ACce/fiML92CJ4QQQryhV7eGRAn80UcftS9j5BsEdIw8hNF79D56VgHOwMiRIx3WwTFAJ3/9qSpY6mGooYYaaqgpkOUa5x5LQR3AnUFp+6677pLffvtNDX2HDvIYscZYCkcrdFd15kBfj23QCt2oqVKlin2bU6dOpWsZiJbp7vYLhg4dKoMHD7a/Rwl89OjRtNCpoYYaaqgJPwvdGQRCjGmL4Fu1alVlN2BcZJ39+/er8W9R8nUFWp0jCBs1CLSo29Y1+I+HAtSx66xdu1Y1LoAD4A6MxINuZ8YXWsjTQieEEBJ2FvqLL74ojz/+uLLNMTnIiBEj1HBzmCQEjc/QPxulXtRPI2D2799fBWBjAzY0bIO9jcZnaBE+cOBAVTLGxBR6NzI0ksMg8wCt2Js2bSo9evRQkzYgAKN7Ghq4+dICHWCge1ro1FBDDTXUFAg3Cx2zTyFYY6D4ggULSp06dVQXMSyD8ePHq9bhGMAFQRL9uTF7lxGUytHlTGfIkCFqIH3060ZJG/tEIzm9DzjAYPII2g0aNLDvH33HfQUPA7TQqaGGGmqoyWwL3XIBfNGiRR4/R9DF9Hl4ucN5gjWUwkeNGqVe7kCJ3tdBW1yBvuVPPfWU3/shhBAS+sSEkoUe7KCeHg8Dui0SLDYONdRQQw01BbJcg1nnMgoDeIC58847VZ91WujUUEMNNdQkedHoU4+GZCv0YGP+/Pl+XRBCCCHhQ7Qfk1+xBB5gHnroITVTGi10aqihhhpqMtNCZwk8wKDPObq9EUIIIZkJS+AB5sMPP5QuXbqks9GtXg9DDTXUUENN1mv8mY2MJfAAg1nM/KnTIIQQEj7cuHEjw1pGmkyw0NGNDMOsBlM9DDXUUEMNNQWyXMNuZBZi9uzZakhW5/HQrW7jUEMNNdRQkwYt9DAF46v7M7IOIYSQ8OEGLXTrAPucFjo11FBDDTUFaKEHFzNmzJA+ffrQQqeGGmqooUZooQcRHTp0kBw5cmR3MgghhAQBtNAtBIJ3vnz57EE8WGwcaqihhhpqCmS5hha6hZgzZw4tdGqooYYaahS00IOIrl270kInhBBiCufCni+wBB5gMIRqQkICLXRqqKGGGmrE27I+8VVGYAk8wCxYsIDTiRJCCDGFP5NfsQQeYHr16qWeqC5cuBBU9TDUUEMNNdRkvebq1auSUVgCDzBnz571q1ECIYSQ8CGKJXDrsHz5cnnxxRc5Ehs11FBDDTXibZmN2CxEt27daKFTQw011FCT6RY6A3iAOXHihNxxxx1iNb7dd0z9j41PlqsXz9uXgfG9mWVqqKGGmmDUVC+RIFaDFrqFWL16tQwYMMByFnpsfB61HJf77wxsXPb0GTXUUENNKGhsNptapoVOXNKxY0c1NJ7VLHT9KdR52dNn1FBDDTWhpEky3C6tYqGzH7iFOHr0KFuhE0IIMUV0dMbL0SyBB5jNmzdLlSpVaKFTQw011FhMYwsxC50l8ADTtm1be/AmhBBCPMFW6BbiwIEDKoA7TxHHOnBqqKGGmuzVJFmwDtyf+cBZAg8wu3btYh04IYQQU0RGZjwMswQeYFq1aiUFCxaUixcvqvesA6eGGmqosYbGZsE6cOceS77AAB5g9u7dSwudGmqoocaCmiQLWuipqamSUWihB5iDBw/SQieEEJLpsASeCRY67BFa6NRQQw011tLYaKETT/z444+qH7jz6Dq00KmhhhpqsleTRAs963jrrbckIiJCBg4caF+HwNi3b19JTEyU3LlzS5s2beTkyZMe96NpmgwfPlyKFi0qOXPmlIYNG8qvv/6abh7vDh06SN68eSVfvnzSvXv3DD0Z/fnnn+r7CCGEkMzEsiXwbdu2yYwZM6RSpUoO6wcNGiQrVqyQJUuWSEJCgvTr109at24tGzdudLuvsWPHyqRJk+SDDz6QUqVKyWuvvSZNmjSRPXv2SFxcnNoGwRvBd9WqVWpknK5du0rPnj1l4cKFPqW7efPmkj9/flro1FBDDTUW09hooWc+OCAE1JkzZ8ro0aPt65OTk2XWrFkqqNavX1+tmzNnjpQvX162bNkiNWvWTLcvlIYnTJggw4YNkxYtWqh18+bNk8KFC8vy5culXbt2quX4ypUr1UNDtWrV1DaTJ0+WZs2aybhx46RYsWKm075p0yaVDlro1FBDDTXW0iRZ0EL3p9GzJS10WOQoycLqNrJjxw5VOjauL1eunJQsWVKNQe6KQ4cOqTm6jRqU3GvUqGHX4D9scz14A2yPDvZbt271Ke3nzztmHkIIIcQd/gRwy5XAFy1aJDt37lSlYWcQiHPkyKGCrRGUpvGZK/T12MadBv8LFSqUboYYWOHu9quPYWscxzYlJUXq1avHVujUUEMNNRbU2ELMQo+02lScAwYMkAULFtjrpq3MmDFjVGlef5UoUUJZ6P7MLkMIISR8iPVj8itLlcBhkZ86dUruv/9++zo0sd+wYYO899578tVXX8m1a9fk3LlzDqVwtEIvUqSIy33q67ENWqEbNejupW+D7zWCAebRMt3dfsHQoUNl8ODBDiVw1Jujrp514NRQQw011tIkWbAOPGQmM2nQoIHs3r1b9aXWX6iXRoM2fTkmJkbWrFlj1+zfv1+OHDkitWrVcrlPtDpHEDZqEGhRt61r8B8PBXiA0Fm7dq2qm0BduacnJ3Q7M75q167t1wTthBBCwocbfgRwS0WaPHnySMWKFR3WxcfHqz7f+nr0z0apF/XTCJj9+/dXAdjYAh0N22BvY1Q0vR85WrOXLVvW3o0MLctbtmyptkcr9qZNm0qPHj1k+vTpygJH9zS0UPelBTpYv369PPnkk+pBA7AOnBpqqKHGGhqbBevA/alytVQAN8P48eNV63AM4IIGZOjPPXXqVIdtUCqHja0zZMgQ1agM/bpR0q5Tp47qNmasZ0e9O4I2XAB9/+g77it44KCFTg011FBjPU1SiFnolg/g69atc3iPoDtlyhT1cofzSGgohY8aNUq93IESva+DtrgCNj8tdEIIIWbwZyhVRpoAg5Hc2rdvTwudGmqoocZiGhstdOIJ9C9HIzla6NRQQw011tIkhZiFbqlW6KEAxm6nhU4IIcQMtNAtBCZa6dy5My10aqihhhqLaWy00IknSpcurcZDv3z5ssN6WujUUEMNNdmrSbKghe5PAKeFHmDQpzwqKiq7k0EIISQICKnJTIKdZcuWqQFhaKFTQw011FhLYwsxC50l8ExoxMYSOCGEEDOE9EAuwUaZMmVUHbjzFHGsA6eGGmqoyV5NkgXrwDFBV0ZhCTzALF682K8LQgghJHyI9qPbMUvgAQYTq2DyFX0gF9aBU0MNNdRYQ2OzYB24c48lX2AADzAlSpSghU4NNdRQY0FNEi104on58+fTQieEEGIKWugWomHDhrTQqaGGGmosqLHRQieeKFKkCC10aqihhhoLapJooRNPzJ49W65evZrdySCEEBIE0EK3EC1btpSCBQvabRFa6NRQQw011tDYaKETT+TPn1/NB04LnRpqqKHGWpokC1roHErVQsyYMYMWOiGEEFP4M/Q2S+ABpkOHDrTQqaGGGmosqLFZ0EK/dOmSZBSWwANMrly5JCIiIruTQQghJAjwJ16wBB5gZs6cKX369ElXr8E6cGqooYaa7NUkWbAO3J/5wFkCDzC9evWSHDlyZHcyCCGEBAH+NGJjCTwTLgYGc9GDOOvAqaGGGmqsobFZsA5cH7UzIzCAZ8JALrTQqaGGGmqsp0mihU68WeixsbHZnQxCCCFBAC10C3H27FllocfExKj3tNCpoYYaaqyhsdFCJ55Yvny56gdOC50aaqihxlqaJFroxBPdunWjhU4IIcQUtNAtxIkTJ6Ry5cq00KmhhhpqLKaxWdBC92fobQbwALN69WopXrx4ujleaaFTQw011GSvJokWOvFEx44dOZALIYQQUzgX9nyBJfAAc/ToUalWrRotdGqooYYai2lsIWahswQeYDZv3iw3btzI7mQQQggJAiIjMx6GWQIPMG3btlVTiV64cMFhPevAqaGGGmqyV5NkwTpwf/qBW64EPm3aNKlUqZLkzZtXvWrVqiVffvml/XMcbN++fSUxMVFy584tbdq0kZMnT3rcp6ZpMnz4cClatKjkzJlTGjZsKL/++mu6AVgwlze+M1++fNK9e/d0QdgMBw4ckNTUVJ91hBBCwo/o6OjQKYGjBfdbb70lZcuWVYH3gw8+kBYtWsgPP/wgFSpUkEGDBsmKFStkyZIlkpCQIP369ZPWrVvLxo0b3e5z7NixMmnSJLWvUqVKyWuvvSZNmjSRPXv2SFxcnNoGwfvPP/+UVatWqX55Xbt2lZ49e8rChQt9Sv+uXbukRo0a9v2yDpwaaqihxhoamwXrwEOqH/jjjz/u8P7//u//VKl8y5YtKrjPmjVLBdX69eurz+fMmSPly5dXn9esWTPd/vAQMGHCBBk2bJh6EADz5s2TwoULq1HT2rVrJ3v37pWVK1fKtm3bVAM0MHnyZGnWrJmMGzdOihUrZjr9rVq1kkuXLtFCp4YaaqixmCaJFnrWASt60aJFcvHiRWWl79ixQz2twALXKVeunJQsWVI1HnPFoUOH1OAqRg1K7igl6xr8h22uB2+A7dG4YOvWrT6lGQ8DtNAJIYSYQe+xFBIlcLB7924VsPFkgnruZcuWyT333CM//vij6mONYGsEpWkEaVfo67GNOw3+FypUKF29RP78+d3uV2/+b+wCkJKSIgcPHpS6devSQqeGGmqosZjGZkELPeT6gd99990qWCcnJ8snn3winTt3lvXr14vVGDNmjIwcOTLddKK00KmhhhpqrKdJooWe+aCUfeedd0rVqlVVkMTY4hMnTlTTdOJp5dy5cw7boxU6PnOFvt65pbpRg/+nTp1y+Bx9ufWpQd0xdOhQ9ZChvzCICxqxsR84IYSQsLTQncFYsbCqEdBxsGvWrFHdx8D+/fvlyJEjynJ3BVqdIwhDU6VKFbvVjbrt3r17q/fQ4qEAdez4DrB27Vr1vagrdwdmHXOeeQwPBuiKhu5qgBY6NdRQQ401NDZa6JkLSrWPPvqoaph2/vx51eJ83bp18tVXX6nGZ+ifPXjwYFU/jUDZv39/FYCNLdDRsA0ld7QIj4iIkIEDB8ro0aNV1zS9Gxlalrds2VJtj1bsTZs2lR49esj06dNVQzl0T0MLdV9aoINGjRrRQqeGGmqosaAmKcQsdMsFcFjZzz77rOqTjYCNQV0QvBEYwfjx41XrcJTAUSpHf+6pU6c67AOlcljaOkOGDFEt2dGvGyXtOnXqqG5jekMzsGDBAhW0GzRoYN8/+o77yvbt26V27dp+nQNCCCHhQQ4/Jr+yXABHP29PIOhOmTJFvdyBvt9GUAofNWqUerkDJXpfB21xBR4U8OBBC50aaqihxloamwUtdE5mYiHq1avnV6MEQggh4cP1UBqJLdjZtGmTPPzww+nqNVgHTg011FCTvZokC9aBo7F0RmEJnBBCCMkm/AngLIEHGDRgQ/0G6sIB68CpoYYaaqyhsVmwDlyPFRmBATzAYMQ4tJinhU4NNdRQYy1NEi104on4+PjsTgIhhJAggRa6hcCMZrTQqaGGGmqsp7HRQieeWLVqlZpH3LlvHy10aqihhprs1STRQieeuO2229TAMYQQQog3aKFbiPvuu08SExNpoVNDDTXUWExjs6CFjrkzMgoDeIBZvny5PPHEE7TQqaGGGmospkmihU48gRnPMBkKIYQQ4o3U1FTJKCyBZ0IAp4VODTXUUGM9jS3ELHQWFQPM0qVL/ZqgnRBCSPgQ48fkVyyBBxjMX37+/Hm5fPmyw3rWgVNDDTXUZK8myYJ14P7MRsYSeIApU6aMREVFZXcyCCGEBAGapmVYyxJ4gFm8eLH07t3bbouwDpwaaqihxhoamwXrwDkfuIWoVauWasDm3DCBFjo11FBDTfZqkmihE0+UKFGC3cgIIYSYgha6hZg/f74MGDCAFjo11FBDjcU0NlroxBMNGzakhU4NNdRQY0FNkgUtdH+6HdPrDTBFihShhU4IISTTYQk8wMyePVtefPFFWujUUEMNNRbT2GihE0+0bNlS2ee00KmhhhpqrKVJooVOPJE/f35a6IQQQkwRERGRYS1L4AFmxowZMnToUFro1FBDDTUW09hCzEJnUTHAdOjQQXLkyJHdySCEEBIEsA7cQiB4Jycn26cT1WEdODXUUENN9mqSLFgHzhK4hZgzZw6nEyWEEGIKfya/Ygk8wHTt2lUKFSpkb4XOOnBqqKGGGmtobBasA3fuseQLDOABBqXvc+fO0UKnhhpqqLGYJokWOvHEggULaKETQggxBS10C9GrVy8pXLiwvQROC50aaqihxhoaGy104omzZ89KXFwcR2KjhhpqqLGYJsmCFvqNGzcko9BCDzDLly/3q06DEEJI+BDpx8idliuBjxkzRpYuXSr79u2TnDlzSu3ateXtt9+Wu+++277NlStX5IUXXpBFixbJ1atXpUmTJjJ16lRlXXuaNH3EiBEyc+ZM1cjswQcflGnTpknZsmUdSs/9+/eXzz77TJ3UNm3ayMSJEyV37tym09+tWzda6NRQQw01FtTYLGihOzd4DuoS+Pr166Vv376yZcsWWbVqlSrNNm7c2OEgBw0apILskiVL1PbHjx+X1q1be9zv2LFjZdKkSTJ9+nTZunWrxMfHq8CPhwHjKGo///yz+t7PP/9cNmzYID179vQp/SdOnJDU1NQMHDkhhJBwIzo6OnRK4CtXrnR4P3fuXNWveseOHfLQQw+pUc5mzZolCxculPr169sHTylfvrwK+jVr1nRZ+p4wYYIMGzZMWrRoodbNmzdPlZRhebdr10727t2rvnvbtm1SrVo1tc3kyZOlWbNmMm7cOClWrJip9K9evVqKFy+eriU668CpoYYaarJXk2TBOvCbN29KyJTAnUHA1mf5AgjkKJU3bNjQvk25cuWkZMmSsnnzZpf7OHTokCoZGzUJCQlSo0YNuwb/8+XLZw/eANvDSkeJ3SwdO3bkWOiEEEJM4U+3Y8uVwI3gyWTgwIGqvrpixYpqHQIxAiSCrRGUpvGZK/T1znXkRg3+o6TvbG3gwcHdflH/jpdOSkqKHD16VD0EcDYyaqysiYiIlBs30hpbRl1Pu4EY3zsvx8TEWuJ4nNPtblnfNkeu+Gw/19RYR2OzYB24MYaEVABHXfhPP/0k3333nVgRNLgbOXKkwzpkkFKlStFCp8aymutXLsvBHetE88W5ixApX7e5aE6irDwen9MdIVKm2sNZkjZqgkOTFGIWumUDeL9+/ewNyVCnrFOkSBH7cKXGUvjJkyfVZ67Q12ObokWLOmiqVKli3+bUqVMOOvTPQ8t0d/vFvN+DBw92KIGjsRxK7hyNjViV69evqSD48AMi+fKK5L3VySLlQtp/vDcuHzkusm4bdFclOjrGUul2l+YzSSIrNqRpCLEyIWWho8EZunItW7ZM1q1bp0qzRqpWrars6TVr1qhuXmD//v1y5MgRqVWrlst9Yh8IwtDoARvBFnXbvXv3Vu+hxUMB6tjxHWDt2rXq6Qh15a6IjY1VLyMHDhyghU6NpTW61VyymEiRRJECaa6inL5VOMB747JObK7cEh2TI9uOx1W63aX52Mm05Rw5cwXd9aEm8zQ2WuiZb5ujhfl///tfyZMnj73+GY3O0C8c/7t3765Kvqifzps3rwr4CMDGFuho2AaLu1WrVhIREaHq0kePHq36fSOgv/baa6plecuWLdX2aMXetGlT6dGjh+pqhoZycAHQQt1sC3Swc+dOKV26dLqLQgudGqtorl1OGyUQJdZYQ4E6KcX1sl6yvXrpgqQ6lcCz8nhcpdtdms/dkkNz5UJyUF0famihB20Ax+Aq4OGH0+qudNBVrEuXLmp5/Pjx9oFWjAO5GEGpXG/BDoYMGaL6kqNfN0raderUUd3GMOypcSISBO0GDRrY94++477w9NNPK60/T1WEEELCg2uhZqF7A0F3ypQp6mV2PyiFjxo1Sr3cgRI9Sv/+sGvXLvVwQAudGqtqdCsadcW2vI42OTC+x/KJM9ay0F2l23n5yq17Ii10aqxuoYdUAA92fv31V6lQoQItdGosq6GFbu3rQ014WeipfozcafmBXIKN5s2b20vfhBBCiCf8mfyKJfAAAwsdI7jRQqfGqhpa6IFPGzXBobGFmIXOEniAQd9yf1oVEkIIIWZgCTzANGrUSC5duiQXLtyqOLwF68CpsYqGdeDWvj7UhFcd+BXDjJi+whJ4gNm+fbsawY0QQgjxhj+TX7EEHmDQ11wfdAawDpwaq2lYBx74tFETHBqbBevAs3wkNgxb+vvvvyuruGDBgqrblPOQouFKvXr1VBCnhU6NVTW00K19faihhR7wAH748GE1StqiRYvk2LFjDgOlwAKoW7euGuUMo5dhJLJwZdOmTelGkSOEEEKyxUJ//vnn5YMPPlBDlmI88erVq6vxwWETY7YuTPn57bffyvDhw9X0mhj29IEHHpBwhRY6NVbW0EIPfNqoCQ6NLRwt9Pj4eDl48KAkJiam+6xQoUJSv3599RoxYoQaX/zo0aNhG8Br165NC50aS2tooVv7+lBDCz2gARyzepkFM3qFM+vXr1ddyUh4cP3KZVUy1IOLp2VgZjt/NTEx5tqj6NNvXr3uFKivOy6fuxUYr11IkWtR0Vl+PLrm+qUL6dLtLs2YD9zXa5jVx+Nuu5iYHHbHjIQ+bIVuIeBW5MuXz26L0EIPXc21Sxfl4I51olls3J7IqAi5+8FmkiNXvGsL/Xqav/zdTt/2e2T392IFfEl3jhxxHq+jFa9hRKRI5SbtXP5mrfpbCBaNLRwtdCNnzpxRdd3ffPONnDp1Kt2oY6gTD2eqVaum7HNa6KGvuZiSpG78zR8S0Ye/R/2sXhJ0XgbuPguUBsMqr9igpaXtVlRKZ6FfuayWq94jkideJD6tuYZcTFut3jsvw7IuXDDrj8dZEx0tcvqs+3Tqy8nnRb77AcNUXvFooRuvYaIt64/H+bMjx0XWbRO5cO60RGdjdUWoapIsaKFnaQDv1KmT/Pbbb9K9e3cpXLiwmqaT/M2qVaukWbNm2Z0MkoXgxq/XyaJxlbtlYGY7fzS6HW6GEkVFCtr+/h69Dhnv3S1n9fG40tjyeE8nGt4hgPtyDYskZs/xGJf1YE7Chxg/Jr/yOYCjtfl3330nlStXzvCXhjJ4qIFNQws99DU5cqYVBfPlEYm7VY3lqWW0ETPbZURjbH2Nax6IVujZeTwZ1ZhthW68hr6mJzOOxyot/kNVY7OghZ6lQ6mWK1dOLl++5VWRdFSqVEmi4fMRQgghXvBn8iufI83UqVPllVdeUfXgFStWTFf8z5v3lkcUpqxYsUJatmyZrl6DdeChp9FbD6PLkpnuWJ4+C5RGt9CRNr0O1d9uZNl5PBnVmO1GZryGcFGy+3is0mUvVDVJFqwDz9IAjhbWKSkpqt+3EYzMhvrw1NRUCWdKly4d1iPREUIIMY8/MdPnAN6hQwdV6l64cCEbsbmgfPnyasAbDOYCWAceuhrWgVtXwzpwauKCpA4cc4pkWQDHsKk//PCD3H333Rn+0lBm2bJl0rZtW1roYaChhW5dDS10asLBQo/MSD9nDJVK3Ddio4VOCCHEchZ6//79ZcCAAfLSSy/Jvffem64RGwJYOFOmTBla6GGioYVuXQ0tdGriaKGn5+mnn1b/u3XrZl+HenA2Yktj8eLF8swzz8i1a7fuILeghR56Glro1tXQQqcmHCx0nwP4oUOHMvxl4UCtWrVUP3DnAE4IIYRkq4V+++23Z/jLwoESJUpI/vz5JTY2bUYoWuihq6GFbl0NLXRq4oLEQvdnYLQMDRl2/PhxNZyqq8lMnn/+eQln5s+fL126dKGFHgYaWujW1dBCp0aHFrqBuXPnSq9evdQcpmisZewHjuVwD+ANGzakhU4IIcQUN27ckCwL4K+99poaRnXo0KHsLuWC4sWL00IPEw0tdOtqaKFTExcGFrrPERhN3tu1a8fg7YaZM2f6NbsMIYSQ8CHaj8mvfFZiHvAlS5aoCU1Iep588kn1kOPct4914KGnYR24dTWsA6cmWOrA/alu9TmAjxkzRh577DFZuXKly4Fc3n33XQlnChYsSHeCEEKIKfyZTyRDAfyrr76yj4Xu3Igt3Jk4caJqH6A/2LAOPHQ1rAO3roZ14NTEBUkd+PXrt2yzrAjg//rXv2T27NmqqxRxPVsbGiXoQ6nq0EIPPQ0tdOtqaKFTEw4Wus9eL1pXP/jggxn+wlAH3esIIYQQy1nomMhk8uTJMmnSJMkMNmzYIO+8847s2LFD/vzzTzU9Z8uWLe2fY8z1ESNGqNbe586dUw8T06ZNk7Jly3rc75QpU9R+T5w4IZUrV1bHUL16dfvnaDn+wgsvyKJFi9RUoE2aNJGpU6eqOc99Yc6cOcpC1wM5LfTQ1dBCt66GFjo1cbTQ0/P999/L2rVr5fPPP5cKFSqka8S2dOlS8QdYzwiwmCyldevW6T4fO3asenj44IMPpFSpUqpfOoLtnj17JC4uzuU+P/74Yxk8eLBMnz5datSoIRMmTFCa/fv3S6FChdQ2gwYNkhUrVqgW9gkJCdKvXz/1/Rs3bvQp/V27dqWFHiYaWujW1dBCpyZYLHQUGLMsgOfLl89lYA0Ujz76qHq5AqVvBN9hw4ZJixYt1Lp58+apUvLy5ctV/3RXoGV8jx49VHAFCOQI1qjLR3e45ORkmTVrlixcuFDq169vL0mXL19etmzZIjVr1jSdfo7ARgghxCz+9FryOYAjsGUXmAkNFjiGK9VBaRml6s2bN7sM4AiosONhaxtPGPYBDcDnsDGM+y1XrpyULFlSbeNLAF+wYAEt9DDR0EK3roYWOjVxtNCtBYI3cK6Xxnv9M2dOnz6tpmtzpdm3b599vwi4cBfM7hfA+jDaHykpKWqceNSnX7hwywu7BS300NPQQreuhhY6NeFgoZsquzdt2lRZyd44f/68vP3226rBWDiAPvFwAPQXphI9e/asX7PLEEIICR+ioqIytwT+1FNPSZs2bVSQevzxx6VatWpSrFgx1WgMTxBoQIbpRb/44gtp3ry5au2dGRQpUkT9P3nypBQtWtS+Hu+rVKniUgOrAicI2xjBe31/+A+rHa3ajaVw4zaugFWOxnHGEnjp0qXlxRdf5GQmYaChhW5dDS10auLCwEKPNDv++cGDB+XVV19Vwbpnz55St25deeCBB1RrbnTpQn3xtm3bVItvLGcGaHWOgLpmzRqHoLl161apVauWSw2s8apVqzpoUELGe12Dz9Ga3rgNWqgfOXLE7X4BgnTevHkdXmg97641PCGEEGIkS8ZCR7Dq2LGjegG03EZ3KcwJ7tyVzB9Qd/zbb785NFz78ccf1RSdeDAYOHCgjB49WvX71ruRwQ0w9hVv0KCBtGrVSnUFAygld+7cWTkH6PuNluzo5qW3SoezgIcUbIfvQSDu37+/Ct6+NGADqDNHAOdkJqGvYR24dTWsA6cmWOrAs3Q+cB293jfQbN++XR555BH7e92iRgCeO3euDBkyRAVfuACwvOvUqaMmVjGWeg8cOKAar+k8/fTT8tdff6l5zBFgYbdDY2zYNn78eNU6HVUFxoFcfGX16tUcZpYQQoj1upFlNg8//LDq7+1p2LlRo0aplzsOHz6cbh1K43qJ3BV4AEDjO38b4MGhwOAw+kAurAMPXQ3rwK2rYR04NXFBUgfuPOhXUAfwYOfo0aO00MNEQwvduhpa6NSEg4XOiasDDAZ+8eeCEEIICR8iQ8lCD3batm1LCz1MNLTQrauhhU5NXJBY6M6DfmVqAEdjMrTYfuihhzL8paEMGtChxT5a6BuhhR56Glro1tXQQqdGhxa6AXQfw5jh6Mb15ptvyh9//JHhLw9Fdu3axZHYCCGEWM9Cx6xf6JL14Ycfqik9MTc3AjpK5ZghLJB9woMR9D8vWLAgLfQw0NBCt66GFjo1cbTQXYMAhf7ZeO3cuVPNUNapUyfJnTu36kbVp08fVUIPR/bu3UsLPUw0tNCtq6GFTk2wWOiYbCtbWqH/+eefsmrVKvXCeOPNmjWT3bt3yz333KMGRglHMOQsLXRCCCGZjc8lcAy8/umnn6pS99dffy2VKlVSw5s+88wzaghSsGzZMjUm+KBBgyTcwGQutNDDQ0ML3boaWujUxNFCTw9mAUMJs3379vL999+7nAUMQ6E6z60dTo3Y0I2MEEII8QYm3MqyAA5rHNOLeppxC8Ebk5CEI5iC1NUk7awDDz0N68Ctq2EdODXhUAfucwBHYzXinkaNGqmW+M4BnBBCCHHGn/nAORJbJsymhsZ8enc61oGHroZ14NbVsA6cmrggqQNnALcQaLyGaU6vXLnisJ4WeuhpaKFbV0MLnZpgsdA5mYmFqFevnkRH87mIEEKId/wJ4Iw0mTAb2RNPPEELPQw0tNCtq6GFTk0cLXTiKxjQBuPF00IPfQ0tdOtqaKFTEw4WOgN4gKlbt64K4oQQQog3GMAtxOrVq6V169a00MNAQwvduhpa6NTE0UInvpInTx5a6GGioYVuXQ0tdGrCwUJnK/QAc99997EVOiGEEFNk6UhsxDOY4AXjxNNCD30NLXTramihUxMXBhY6S+ABpnDhwhIZydNKCCHEOyyBWwhMr4rp4ZyniGMdeOhpWAduXQ3rwKkJljpwf+bNYFExwKxYscIvS4QQQkj4EHOrujUjsAQeYEqXLq3qWfSnKtaBh66GdeDW1bAOnJq4IKkDd+6x5AsM4AGmfPnytNDDREML3boaWujU6NBCJ6ZZtmwZLXRCCCGmoIVusUZs+fPnt9sitNBDV0ML3boaWujUxAWJhX758mXJKAzgAaZMmTJy/vx5WuhhoKGFbl0NLXRqgsVCv3bt1tNmBqCFHmAWL17s1wUhhBASPkT7MXInS+ABplatWpKYmEgLPQw0tNCtq6GFTk1cGFjoLIEHmBIlSnA6UUIIIZkOS+ABZv78+dKlS5d0NjrrwENPwzpw62pYB05NsNSB37x5UzIKS+ABpmHDhpyNjBBCiCn8mU40aCPNlClT5J133pETJ05I5cqVZfLkyVK9enW32y9ZskRee+01OXz4sJQtW1befvttadasmf1zTdNkxIgRMnPmTDl37pw8+OCDMm3aNLWtLxQpUkR1I4uNjVXvWQceuhrWgVtXwzpwauLCoA48KAP4xx9/LIMHD5bp06dLjRo1ZMKECdKkSRPZv3+/FCpUKN32mzZtUlN8jhkzRh577DFZuHChtGzZUnbu3CkVK1ZU24wdO1YmTZokH3zwgZQqVUoFe+xzz549EhcXZzpts2fPlh49eqQbzIUWeuhpaKFbV0MLnRodWugW491331VBsmvXrnLPPfeoQJ4rVy4VPF0xceJEadq0qbz00ktqqNM33nhD7r//fnnvvffspW88BAwbNkxatGihBmOZN2+eHD9+XJYvX+5T2vBg4M/IOoQQQsKHG+FkoaNx2I4dO2To0KH2dZh/G3XPmzdvdqnBepTYjaB0rQfnQ4cOKSse+9BJSEhQpXto27VrZzp9sM9poYeHhha6dTW00KmJo4VuPU6fPq0mQC9cuLDDerzft2+fSw2Cs6vtsV7/XF/nbhtXYBB640D0KSkpMmPGDOnTpw8t9DDQ6Pbr/kMiOW/VsuAGrNugzsvA3WeB0lz3wULftV/kSB6R+Jxpn128dR/BezPLvmoSE0Ti4wNzDnDPQ1tRd9+Z7KOFjmsIGz2zr483zZHjt9JICz1TNEkhZqEHXQC3EqhTHzlypMO6Dh06SI4cOTihSRgQkyMtan+1USxFRCQmSLhlCbhEU39/dP28G1p4uTla8hpG4PrFiqZl/MZOgoewstBhPWCglJMnTzqsx3u0AHcF1nvaXv+PdUWLFnXYpkqVKm7TAhvfaM2jBD58+HDJly+fCuJ6ep3T78tyoDS00DNHU/7hJyQyKlKVmHTr090yMLOdvxoEJf3m78lCb/6QSKItzT42NvzCezPLvmjOJIms2CBS5oGHJSI6Wq5dSJEju7+XOveJJOQRyRMvcv5imsZ5+WyyyNebREreW13yFCom508dV9p2j4rc+pml+85TZ0QWfSmSIz631+uoX8Osuj7eNAjeeQsVU86Bc5rdHYOnZWrSoIVuARAYq1atKmvWrFENxgAsCLzv16+f2+FN8fnAgQPt61atWqXWA7Q6RxDHNnrARjDeunWr9O7d221aUM+t13XrzJkzhxZ6mGmi4/LY7U7UW7pbBma281eD4O3pGHTbGG0t0Qpdr7/XW6TjvZllXzR6u04Eb1j716LSbj0F8osUtKXVxeutsZ2X9SAtUdFp5+SWNoeH79Q13ix04zXMquvjTYPr55xmd+n2tExNGrTQLQZKvZ07d5Zq1aqpvt9oQX7x4kXVKh08++yzcttttymLGwwYMEDq1asn//rXv6R58+ayaNEi2b59u/z73/9Wn0dERKjgPnr0aNXvW+9GVqxYMftDglmQBlrohBBCzOBPrAjKAP7000/LX3/9pexqNDJDqXnlypX2RmhHjhxRLdN1ateurfp+o5vYq6++qoI0WqDrfcDBkCFD1ENAz5491UAuderUUfv0pQ+43koeLdhpoVNjVU12tELX+6frras9pcFbi3Izrf/NtkJ3tWx2O2qCT2OzoIWuT3wVNgEcwC53Z5mvW7cu3bqnnnpKvdyBUvioUaPUyx8WLFjg0MWNEEIIcYc/k18FbQC3Kr169VJPVBcu3OobcgvWgVNjFU12jMTmPMKYqzSYHVXNzAh4Zkdis+L1oSa86sCvGroih8VIbFbm7NmzfjVKIIQQEj5EsQRuHVC3/uKLL3IkNmosq2EduOdls9tRE3wamwXrwMOuEZuVee6552ihU2NpDS10a18famihm4UWeoDB4C+00AkhhJiBFrqFWLFihep3TgudGqtqaKF7Xja7HTXBp7HRQiee+Mc//qGGxqOFTo1VNboFffBomoWdFROtnEsJvIXuaRIZDN1q1ATT9aEmvCz0K+HYD9yqHDx4UEqXLp3dySDE6wQe3+3MjklW/J+kw/QEJBHeJnUhJPuJxrR6GdUGNCVEvvvuO7n33ntpoVNjWQ3yQpXmHeTC2ZNZOtFK7nxp+RAlYn8sdDOTyICb169LjlzxQXd9qMk8jY0WOvFE27ZtaaFTY3kNAml0Fk+0Ypykwx8L3cwkMupYr121bxts14eazNEkhZiFzlboAebAgQOSmpqa3ckghBASBNBCtxC7du2SGjVq2CdBoYVODTXpl/210K12PNQEh8YWYhY6S+ABplWrVvaZyAghhBBP+DOQC0vgAWbv3r2qARvqwY2wDpwaav5+H4g6cCsdDzXBoUmyYB24P1WuLIFnQjcyjsRGCCEks2EJPMA0b95cChYsKBcvXlTvWQdODTXpl1kHTk12aGwWrAN37rHkCwzgmdCIDXXgzl0DaKFTQ83f72mhU0MLXWihW3EyE03TsjsZhBBCQhyWwANMo0aNaKFTQ42XZVro1GSHxkYLnXhi+/btUrt2bVro1FDjQUMLnRpa6KLe+9PomRZ6gNFL3oQQQog3/AngLIEHmHr16il7hBY6NdTQQqfGWhobLXTiiU2bNsnDDz9MC50aajxoaKFTQwtdaKETQgghwQotdAuBBmy00KmhxvMyLXRqskNjs6CF7k+7KZbAA8z69ev9ml2GEEJI+JDDj8mvWAIPMPHx8ZKcnMw6cGqo8aBhHTg1rAMX9f7GjRuSUVgCDzDVqlXza4J2Qggh4UOqH0OpMtIEmFWrVkn79u0lJiatWME6cGqoSb/MOnBqskNjs2AduD9VrgzgAaZw4cKSkpJCC50aajxoaKFTQwtdaKFbjUqVKtFCJ4QQYgpa6BZixYoV0rlzZ1ro1FBDC50ai2lstNCJJ0qXLi3nz5+Xy5cvO6ynhU4NNX+/p4VODS10Ue/9CeC00ANM+fLlJSoqKruTQQghJAjgSGwWYtmyZdKjRw9a6NRQQwudGotpbLTQM4+lS5fK9OnTZceOHXL27Fn54YcfpEqVKg7boHX3Cy+8IIsWLZKrV69KkyZNZOrUqar1tzs0TZMRI0bIzJkz5dy5c/Lggw/KtGnTpGzZsvZt8H39+/eXzz77TCIjI6VNmzYyceJEyZ07t8+N2GihU0MNLXRqrKdJooWeeWBM2Dp16sjbb7/tdptBgwapILtkyRI1bOnx48eldevWHvc7duxYmTRpkno42Lp1qxotDYHf2NWrQ4cO8vPPP6t+3J9//rls2LBBevbs6fMx3H333bTQCSGEmAIFzJAogXfq1En9P3z4sMvPMUTprFmzZOHChVK/fn21bs6cOareecuWLVKzZk2XJ2fChAkybNgwadGihVo3b948VWJfvny5tGvXTvbu3SsrV66Ubdu2qZHUwOTJk6VZs2Yybtw4KVasmOlj+Oijj+S5556jhU4NNbTQqbGYxhZiFrqlSuDegLWOg23YsKF9Xbly5aRkyZKyefNml5pDhw7JiRMnHDQJCQlSo0YNuwb/8+XLZw/eANvDSkeJ3R2w8DFoi/EFB4H9wAkhhJjBn4FcgirSIBBj5hYEWyMoTeMzdxp9G3ca/C9UqJDD5wjC+fPnd7tfMGbMGBk5cqTDugEDBqg68AsXLjisZx04NdT8/Z514NSwDlzU+2vXbllMwVQCX7BggWogpr++/fZbCTaGDh2qbH39dfToUXn//ff9uiCEEELCh2g/HNtsK4E/8cQTysbWue2227xqihQpooIjWpIbS+EnT55Un7nT6NsULVrUQaO3cMc2p06dSmdroGW6u/2C2NhY9TIC6z0xMdHeQI514NRQk36ZdeDUZIfGZsE6cOceS0ERwPPkyaNevlC1alXVOGzNmjWqmxfYv3+/HDlyRGrVquVSU6pUKRWEodEDNuqqUbfdu3dv9R5aPBSgjh3fAdauXas62BsfMsyA76KFTg01tNCpsZ4miRZ65oES748//ih79uyxB2e81+uh0fise/fuMnjwYPnmm29UwO3atasKwMYW6GjYhgFVQEREhAwcOFBGjx4tn376qezevVueffZZ1bK8ZcuWahu0Ym/atKkagOX777+XjRs3Sr9+/VQLdV9aoIPZs2erxm2EEEJISFrorkCARUDWQQAFGITl9ddfV8vjx4+3D7RiHMjFCAI/6qR1hgwZovqYo183StpoKY5uY3FxcQ518gjaDRo0sO8ffcd9BQ8FBQsWtNsitNCpoSb9Mi10arJDY6OFnnl06dJFvTyBoDtlyhT1MtsxHqXwUaNGqZc70OIc/cv9BfuBRU8LnRpq3GtooVNDC11CayS2UGDGjBm00AkhhJjCn5E7LVUCDwUwJCstdGqo8bxMC52a7NDYLGihX7qU5kZlBAbwAIOBZlD/jjp3I7TQqaHm7/e00KmhhS600K0GxmbnQC6EEELMQAvdQqAVPYZl1W0RWujUUJN+mRY6NdmhsYWYhc4SeIBB6duf6eEIIYSED5GRGQ/DLIEHGPQn79OnT7p6DdaBU0PN3+9ZB04N68BFvceInxmFJfAA06tXr3TjoxNCCCGu8KcRG0vgAUafAAVjtgPWgVNDTfpl1oFTkx0amwXrwPWJrzICA3iAWb58ueoHTgudGmrca2ihU0MLXWihW41u3brRQieEEGIKWugWAjOnVa5cmRY6NdTQQqfGYhqbBS10f4beZgAPMKtXr5bixYunG8yFFjo11Pz9nhY6NbTQhRa61ejYsaMaTpUQQgjxhj8jd7IEHmCOHj0q1apVo4VODTW00KmxmMZGC514YvPmzVKqVCla6NRQ40FDC50aWuhCC91qtG3blhY6IYQQU9BCtxAHDhyQ2rVr00Knhhpa6NRYTGMLMQudJfAAs2vXLklNTc3uZBBCCAkCOJmJhWjVqpWaHu7ChQsO61kHTg01f79nHTg1rAMX9d6foVRZAg8we/fuZQmcEEKIKfTq1ozAEniAOXjwoNStW1fi4uLUe9aBU0NN+mXWgVOTHRqbBevA2YjNQjRv3pwWOjXU0EKnxoKaJFroxFsjths3bmR3MgghhAQBtNAtxF9//SV58+aVnDlzqve00KmhJv0yLXRqskNjo4VOPNGsWTNa6NRQQwudGgtqkmihE09s2bKFFjohhBBT+DNyJ0vgAebixYuSkJBAC50aamihU2Mxjc2CFjonM7EQ6EKGIE4LnRpq3GtooVNDC11ooVuNjRs30kInhBBiClroFoMWOjXUeF6mhU5NdmhsIWahswQeYIwzkRFCCCGe8MexZQk8wKxfv14aNWqUrl6DdeDUUPP3e9aBU8M6cFHvb968KRmFJfAAEx8fn91JIIQQEiT4E8BZAg8w1apVU/UbaIkOWAdODTXpl1kHTk12aGwWrAPXY0VQB/Dr16/LsGHD5IsvvlAzeqEhWMOGDeWtt96SYsWK2bc7e/as9O/fXz777DM1EXqbNm1k4sSJkjt3brf7hp39wgsvyKJFi1SDgSZNmsjUqVOlcOHC9m2OHDkivXv3lm+++Ubtq3PnzjJmzBiJjvbtFK1atUqNxubcMIEWOjXU/P2eFjo1tNAldCx0DD+6c+dOee2119T/pUuXyv79++WJJ55w2K5Dhw7y888/q0D5+eefy4YNG6Rnz54e9z1o0CAV8JcsWaLqqI8fPy6tW7e2f475uzGLGMak3bRpk3zwwQcyd+5cGT58uM/HgYeCiIgIn3WEhBvRklOuX4+WK1dj5MqF3HLlWrRcuZJDrlyId1i+do2NQknocjMULHSUuBGUjbz33ntSvXp1VTouWbKk7N27V1auXCnbtm1TVjWYPHmyKvGOGzfOoaSuk5ycLLNmzZKFCxdK/fr11bo5c+ZI+fLl1bCnNWvWlK+//lr27Nkjq1evVgG4SpUq8sYbb8jLL78sr7/+uk/99CpVqkQLnRpqvCxr11JljIySZWdnSo6UBLlnd0vZV2OOJJwvLIV+aST7qs6XxKTikniktvxc/r9SSaLkSmy8ZY+HmuDQ2CxooaPwGvQB3BUIvijN5suXT73fvHmzWtaDN4DNDit969at0qpVq3T72LFjh7LnsZ1OuXLl1AMB9ocAjv/33nuvg6UOmx2WOkr79913n8v0wSY3WuUpKSmyYsUKadWslVy7mlZxF3E1rTSefC7Z/l5flusiSRdMWjJnkiTyRqSD3nlZ/x4tQkund2sxaSI3U9IyUOqNSLl50fPyFew6wpx9lZpySZAU6IGnfd+IumnaMotKjZCbF1zvy/l7rl++IDcjNVM2W+TNCIkxcQ7Usrr+5uw8nIMYE+dAXzbu19u+Y25EeT0H+vJVTeTqJXNWY2rKRYnQIjymU/+e1Mj0187dMs7xzfOX5MbFK/KuLJGEpFS5HpckSWU/lgunNEnSTspfpf6jls/KETlyxwm5eFbkIXlEvrj0P7cWesRNUfv1dg6wnHoJ+S3V6zlQy7eunbdzYL92V86r34enc6C/j05Nf+3cLd+IvClXL5vLb1GpkaZ+c+DazQiH/Xra9/XzFyTqZqSp/IZ70BWT1naEyXuQ/j3Xo9Nfu6tulp2vXfLJtP24uo/ejL5p3gK/JpKclP7e62rfSeeTRKLS70t/HxIlcFf11igBt2/fXk3PCU6cOCGFChVy2A511Pnz51efuQLrUYLWHwJ0EKx1Df4bg7f+uf6ZO1BHPnLkSId1Dz30kNgW2yTPubQSr04BKZBu+fK9lyWppuMFdUeuP3JJ8ZXF3e7L+P5qvquS0jPFcYjXcmlaPIHqmQjLyGAFJjruwxOnB5wWLVZz2Ie75bz/ziux52JN7fdY02MSWynWQQ9c7bvElhKSc3faQDneOHP/GTlT9YzHdOrfk3dfXimyuoip/V6745ocbnTY6znAco6zOeSO/9xhar83c9yU3zr/5vUc6Mtl5paRqOu37g5eONvtrJyOOu3xHOjvcy3IJfF/mOtRcaLuCYmqFGUqT+T6LpfEbzbs9w/3+90qP8sn8p1a3hU5RdpWeFo9eLvad6FzhSTf146/cXfg9/H7U797PQdYjrwWKXd+cKeYBdcO19BMfrt9ye2mfx/nnjonp24/5XJ/zsuFNxSWhE2OpU93XKx9Uf6o8Iep/Ja6OVWKbDT3+7h420W51OGS13MACqQWkPxf5Te139SYVDnQ5YDXc6AvJ05IVNfQFc730cNtDoskiikSlidIwcMFPe5P50bdG5JSzvF+bARVuEEXwBcsWCC9evWyv//yyy/VOOIAJea2bduKpmkybdo0sSpDhw6VwYMHO5TAR48eLVF1ouT0xbQbZWJiWo44c+aM/b19uVCi2JI9Wzr6+9MVT8vpu0876p2W9e/B069pG0dLC8qu9udyuViivYThbd+nu5xWpTiP5+DWcmxMrGlbKq5dnJyu7zrNzt9z89xNsUXbzNlf1UW0Rpr3c5CYKDGRMWJLMWnHJYhoo9JcADP7tl1Iv193+07qk+T1HNiXiyZK6tlUc/ntqdNyWbtsKr9FRUeZz2+PiZx+4LR6cEycnigr7tur3JdcuRLk0qW0Uou+DOekfu5mqnR9/81Yibgtwu2+E0onyOliJn5ziYmScjZFbDnc5wmH91ratfN2DvT3CecT1O/DzPlI6ZIiBfIXMJUnEmIS5HpSWst9b/u+1uyaaB1M5rfCiWI7Zy6/na5+Wk7fn/4e5Op7zN6DgC2/zdQ9SHcibbHmfs8FsDxM5PQZc/e3+Jh403Z4zD9i5PRf5vJbVHKU2KJsoWWho3FajRo17O9vu+02h+D9+++/y9q1a+2lb1CkSBE5dSrtKdQ4ig1apuMzV2A9GqedO3fOoRR+8uRJuwb/v//+ewcdPtc/c0dsbKx6GVm2bJn06NFDlVIVcWn/jO/ty760zYm8pTPqnZYdvscsEe7353LZl/Z5OXD/09Knzd2+zRJj8hzE+ZjDo0yeg1vfYxoUAMyeA2znOA+OR1zlCbffE5mxaxfQ/BadptFyaHLxpRtS6bxNtBiRxLwF5MzZaPW5Wk6KVtcjMU8BkVSRmI9vSvL9t6qeXBFl8hzgM1+GnkZ+N3sOfLx2Kh2Zkd9ifMhvPv4+tCgf8puv9zZP6cxofovz8f7my+/DbH7zkif8Gbkz2wJ4njx51MuIHrx//fVX1Z1Lf7LRqVWrlgrEqNeuWrWqWocgjzoE48OAEWyHE7RmzRrV5QygdTsaxmF/+n7/7//+Tz0c6BY9GtTh4eGee+7x6bjQiO38+fNy+fJlS3Ujo4Yaq2ly/ZxL8p7JKScfOikRm/NKniux8letvyRyXYLEx8Soqo/or21yvdh1OdzouAjahZ627vFQQ01GNIh7QV8HjoN48sknVRcydA9DvYBe/4w6btRjo+V406ZNVQl3+vTpStOvXz9p166dvQX6H3/8IQ0aNJB58+apFuxo3d69e3dldWM/CMroR46gjQZsoHHjxipQd+rUScaOHau+F33S+/btm66E7Y0yZcpIVJS5OklCwplLNS/JuaRzavniQxftyxcaXpBzyWnLKc1S0krBju2fCAkZUFUc9AEcgffTTz9Vy+jGZQSl8Ycffthed46gjSCtD+QyadIk+7YI6ihhG+sVxo8fb9/WOJCLDgIuHhrQ6hyBHcOhYiCXUaNG+XwcixcvVvvRbRGrdCOjhhpLaqLdLMc4aaKD5HiooaaAb5qQKIHfcccdpp5EUIpGn25f9hMXFydTpkxRL3fcfvvtahQ4f8EDAPqAOzdMsLqNQw011FBDTXBZ6JYZiS1UKFGihCrtE0IIIWFhoYcK8+fPlwEDBtBCp4YaaqihRsLCQg8VMOIbLXRqqKGGGmrMaNDNOaPQ6w0w6DdOC50QQkhmwxJ4gJk9e7a8+OKLtNCpoYYaaqgRb8u00C1Ey5YtlX1OC50aaqihhpokWujBA7q50UInhBBiBsy4mVFYAg8wM2bMUJOc0EKnhhpqqKEmMy10FhUDTIcOHdSwr4QQQog3WAduIRC8k5OTVVeyYKqHoYYaaqihJus1LIFbiDlz5vjVKIEQQkj4EOXH5FcsgQeYXr16qSlJ9VbowVIPQw011FBDTYEs1zj3WPIFBvAAAzsEc5bTQqeGGmqooSaJFnpwDeRCC50QQogZaKFbCExkgr7gegk8WGwcaqihhhpqCmS5hha6hTh58qT6z5HYqKGGGmqoSfKiuXHjhmQUWugB5j//+Y9fdRqEEELCh0g/Ru5kCTzAdOvWTQoXLkwLnRpqqKGGGvG27Nzg2RcYwAPMiRMnJC4ujhY6NdRQQw01Qgs9iFi9erVfF4QQQkj4EEkL3Tp07NhRDeRCC50aaqihhprMtNBZAg8wR48eldTU1OxOBiGEkCAgOjrj5WiWwAPM5s2bpVSpUukGc7F6PQw11FBDDTVZr7l586ZkFJbAA0zbtm05nSghhBBT+DNyJ0vgAebAgQNSu3ZtiYmJCap6GGqooYYaagpkuebq1auSURjAA8yuXbukXLly6S6K1W0caqihhhpq0qCFHqa0atXKXvomhBBCPEEL3ULs3btX6tWrRwudGmqooYYa8bbMAG4hDh48KJUqVaKFTg011FBDjXjT+NPtmBZ6gGnevDktdEIIIabwZ/IrlsAzoRFbw4YNaaFTQw011FAj3pZpoVsETdPkzz//VBOaoGUhxkS/fPmyGmnn7NmzEhERoZ62jMtnzpxRY+Hqy1FRUWoZFxUTouAzDLWnL1+4cEHtU1++cuWK+m4so/95SkqK0uN17tw5lQZXy7BtsIz/eI8HDuxLX8Z3YF9Iu/MyQHr043Nexn6xL6RbX8ZxGY/v9OnTan+ulvH9OH68jMeHagmcV+MyvgPb6Ms4B8bj01t56su4Rs7LSLvx+M6fP6/SiWPBd7la1q8L9EgLPkN63S3rP1KcA/34sIz0YjvkCVfLSJt+fPhepA/H5m7ZmN+Ac35zl/fwwvE45zdPec+Y33A8ZvIejgPn3jm/ecp73vKbq7znnN/M5D2cb2N+M5P3nPObmbznnN/M5D1jfjP+tjzlPWiMvyczec+Y34y/LU95D/s0Hp+ZvIeX8fjM5D18j/H3lGIi7yHtxuMzk/dwHMbfk5m8h+vn7l7uLu8hPXr+1uOHr0RoGVERlxw7dkxKlCiR3ckghBAShMNwFy9e3CcNA3gAwdPe8ePHJU+ePOpJ0xfwBIngj4uYN29eCRaY7qyF6c5amO6sJRzTrWmacl6KFSvm88xktNADCE6+r09QzuDiB1PG1WG6sxamO2thurOWcEt3QkJChr6PrdAJIYSQIIQBnBBCCAlCGMAtQmxsrIwYMUL9DyaY7qyF6c5amO6shen2DTZiI4QQQoIQlsAJIYSQIIQBnBBCCAlCGMAJIYSQIIQBnBBCCAlCGMAzgeeee06NxDZhwgSH9RiTt0OHDqqjf758+aR79+5qbF9PYJzevn37SmJiouTOnVvatGkjJ0+edNjmyJEjaha0XLlySaFCheSll15SY/Sa4fXXX5dy5cpJfHy82Gw2NRHL1q1bLZ1ujCP88ssvy7333qvSjRGMnn32WTUKnpXTDZYuXSqNGzdW+0ce+fHHHzOUBmfQFnX48OFStGhRyZkzp7qOv/76q9/nwx1TpkyRO+64Q+Li4qRGjRry/fffe9x+yZIlKp9he1y3L774wuf0+8qGDRvk8ccfV/kD53r58uUB+U5vx56R66czZswYeeCBB9RojshbLVu2lP3791s+f0ybNk1No6wPZFKrVi358ssvLZ1mV7z11lsqrwwcODA40o5W6CRwLF26VKtcubJWrFgxbfz48Q6fNW3aVH22ZcsW7dtvv9XuvPNOrX379h7399xzz2klSpTQ1qxZo23fvl2rWbOmVrt2bfvnN27c0CpWrKg1bNhQ++GHH7QvvvhCK1CggDZ06FBT6V2wYIG2atUq7cCBA9pPP/2kde/eXcubN6926tQpy6b73LlzSvfxxx9r+/bt0zZv3qxVr15dq1q1qsN2Vks3mDdvnjZy5Eht5syZ6P2h9uFrGlzx1ltvaQkJCdry5cu1//3vf9oTTzyhlSpVSrt8+bJf58MVixYt0nLkyKHNnj1b+/nnn7UePXpo+fLl006ePOly+40bN2pRUVHa2LFjtT179mjDhg3TYmJitN27d/uUfl/BtfnnP/+pfpM418uWLXP4PCPfaebYM3L9dJo0aaLNmTNH/RZ//PFHrVmzZlrJkiW1CxcuWDp/fPrpp9qKFSu0X375Rdu/f7/26quvqmuM47Bqmp35/vvvtTvuuEOrVKmSNmDAAPt6K6edATyAHDt2TLvttttUpr399tsdAjhuXLiJbNu2zb7uyy+/1CIiIrQ//vjDbaDCj2DJkiX2dXv37lX7QdDSb1KRkZHaiRMn7NtMmzZNBeGrV6/6fAzJyclq/6tXrw6qdOPHh/3//vvvQZHuQ4cOuQzgZtLgzM2bN7UiRYpo77zzjsN+YmNjtY8++ijD58MdeFjq27ev/X1qaqp6YB0zZozL7du2bas1b97cYV2NGjW0Xr16mU6/vzgH8Ix+p7djz8j18wQepKFdv3590OQPHZvNpr3//vtBkebz589rZcuWVYWZevXq2QO41dNOCz2AE5l06tRJ2akVKlRI9/nmzZuVTVKtWjX7OtgqGD/d2bLW2bFjh7KLsZ0ObMiSJUuq/en7hSVZuHBh+zZNmjRRg+v//PPPPh0DpuX797//rcblrVy5ctCkGyQnJyvrC2kNpnRnJA3OHDp0SE1ha9TgGsLeNabb1/PhLo8gjcbvwj7w3l36sN64vX7O9O3NpD/QZOQ7zRx7Rq6ft3wN8ufPHxT5A2AazkWLFqnpQGGlB0Oa+/btq6rFnPOp1dPOyUwCxNtvv63meX3++eddfo4LijotI9geP0x85k6DeWz1oKSD4KFr8N8YTPTP9c/M8Pnnn0u7du3U/Laos1m1apV9wnkrp9tYR4U68fbt29snEgiGdGc0Da40xnS4S7ev58MVmM8YN2hX37Vv3z636fOWNm/pDzQZ+U4zx56R6+epUIC62AcffFAqVqxo+fyxe/duFbDxe0Rd8bJly+See+5R7TysmmaAh42dO3fKtm3bxBkrn2/AEngGWLBggcqg+mv9+vUyceJEmTt3rs/TiGZnur/99lu1/pFHHlE/sk2bNknTpk2lbdu2curUKbF6ugGejpFeuKRoSGMlPKWbEDOlwp9++kkFmGDg7rvvVvcRlCB79+4tnTt3lj179oiVOXr0qAwYMED9VtEoMdhgAM8ATzzxhMqo+guBDwEPtgqeovD6/fff5YUXXlCtVUGRIkXSBUW0XEZLRHzmCqyHbXfu3DmH9WgBqWvw37lFpP7eeb/O6dbtG7TkvvPOO6VmzZoya9YslX78t3q69eCNcw3XwDiNn5XT7QkzaXClMabDXbp9PR+ugDMTFRXl8btcpc9b2rylP9Bk5DvNHHtGrp8r+vXrp5yxb775xmGKYivnD5RUcR+pWrWqak2PajgUbKyc5h07dqh93H///fZ7NwpkkyZNUssoNVs17QqfavqJS06fPq1a1BpfaNjy8ssvq1bSxkYLaMWo89VXX5lqVPXJJ5/Y12F/rhpVGVvBzpgxQzWqunLlSoaOp3Tp0tqIESMsne5r165pLVu21CpUqODQYl7Hquk224jNUxrcNZoZN26cQ2NEV41mfDkfnhpy9evXz6EhFxpvemrE9thjjzmsq1WrVrpGbJ7Sn1mN2Hz9Tm/HnpHrZwTpQiM53D/QotuZYMgfOo888ojWuXNnS6c5JSUl3b27WrVqWseOHdWyldMOGMAzCedW6Hq3gfvuu0/bunWr9t1336lWj8ZuA2jFfvfdd6vPjV0Y0I1k7dq16mLjxoeXc7emxo0bq24nK1eu1AoWLGiqWxO6pmA7ZMTDhw+r/Xft2lVlNL37hxXTjeCNbhnFixdX2j///NP+MrYEt1q6wZkzZ1TQRpcb/IDRLQnvkXazaQBIN7pHGbutoDvTf//7X23Xrl1aixYtXHZb8XQ+zII0I4/MnTtX3Yh69uypvltvmd+pUyftlVdecehGFh0drW5oaMGLh0NX3ci8pd9X0LIY5xYvnOt3331XLes9Fcx8Z/369bXJkyebPnaz188dvXv3Vt2P1q1b55CvL126ZOn8geuNlvJ4MMX+8R7B6Ouvv7Zsmt1hbIVu9bQzgGdhAMfNGxcod+7cqsSGYImbjHOp7JtvvrGvwwXv06eP6pKRK1curVWrVg43e4Dg++ijj2o5c+ZUfZJfeOEF7fr1617TiH1jf3jaR9/WokWLqsCILllWTrf+fa5exjRYLd0AfXxdpVt3PMymARrsy/jU/9prr2mFCxdWAaZBgwaqP64Rb+fDFxDUcFNDvkGpFH1ZjTdAlLyMLF68WLvrrrvU9nBN8ABjxEz6fQXX1dW51tNm5jvxOzZeG2/Hbvb6ucNdvjZeayvmj27duqlzhXOCB1rsXw/eVk2z2QBu5bRzOlFCCCEkCGEjNkIIISQIYQAnhBBCghAGcEIIISQIYQAnhBBCghAGcEIIISQIYQAnhBBCghAGcEIIISQIYQAnhBBCghAGcEKIX2Dim8aNG2fLd7/yyivSv3//bPluQrIbjsRGCMkwmPu5dOnSsmTJEjVvdVaDObrx/ZjtDf8JCSdYAieEZJhPPvlETeOaHcFbn+KzSZMmlpsLnpCsgAGcECJ//fWXmof4zTfftK/DPPeY43nNmjVudYsWLZLHH3/cYV2XLl2kZcuWal+YTzlfvnwyatQoNd/xSy+9JPnz51dzXM+ZM8euOXz4sERERMjixYulbt26kjNnTnnggQfkl19+kW3btqm51HPnzi2PPvqoSqsRfD/SQUi4wQBOCJGCBQvK7Nmz5fXXX5ft27fL+fPnpVOnTtKvXz9p0KCBW913332ngqsza9eulePHj8uGDRvk3XfflREjRshjjz0mNptNtm7dKs8995z06tVLjh075qDDdsOGDZOdO3dKdHS0PPPMMzJkyBCZOHGifPvtt/Lbb7/J8OHDHTTVq1dX+8FDACFhhU9zlxFCQhpMm4hpP5955hnt3nvv1a5cueJ226SkJDWN4oYNGxzWY7pOTC2ZmprqMF9y3bp1HeZVj4+P1z766COHqV3ff/99+zb4DOvWrFljXzdmzBi1LyPJyclqO8yhTUg4EZ3dDxCEEOswbtw4qVixomqUtmPHDomNjXW77eXLl9X/uLi4dJ9VqFBBIiP/NvhgpWO/OlFRUZKYmCinTp1y0FWqVMlBA+69916Hdc4a2O3g0qVLPh0rIcEOLXRCiJ0DBw4o6/vmzZteLWkEYNRbJyUlpfssJibG4T22c7UO3+NOh89drXPWnD171l4NQEg4wQBOCFFcu3ZNOnbsKE8//bS88cYb8o9//CNdadcIGrjdc889smfPHslOfvrpJxXkUeonJJxgACeEKP75z39KcnKyTJo0SV5++WW56667pFu3bh416MKFhmzZCRq36S3XCQknGMAJIbJu3TqZMGGCfPjhh6pfN+qvsYzg6KmPdffu3eWLL75QgT+7QBeyHj16ZNv3E5JdcCQ2QohfPPXUU3L//ffL0KFDs/y7v/zyS3nhhRdk165dqtsZIeEES+CEEL9455131CAr2cHFixfVgDAM3iQcYQmcEEIICUJYAieEEEKCEAZwQgghJAhhACeEEEKCEAZwQgghJAhhACeEEEKCEAZwQgghJAhhACeEEEKCEAZwQgghJAhhACeEEEIk+Ph/1+6QE7sRD/YAAAAASUVORK5CYII=", "text/plain": [ - "\u001b[1;36mIteration 31\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.12\u001b[0m\n" + "
" ] }, "metadata": {}, "output_type": "display_data" - }, + } + ], + "source": [ + "num_passive_radiators = 2\n", + "\n", + "# set min/max patch dimensions for the central and all surrounding patches\n", + "min_patch_dimensions_mm = sum(\n", + " [[patch_min_width, patch_min_height] for idx in range(0, num_passive_radiators + 1)], []\n", + ")\n", + "max_patch_dimensions_mm = sum(\n", + " [[patch_max_width, patch_max_height] for idx in range(0, num_passive_radiators + 1)], []\n", + ")\n", + "\n", + "# set min/max gap between central patch and each surrounding patch\n", + "min_gap_mm = [0.5 * mm for idx in range(0, num_passive_radiators)]\n", + "max_gap_mm = [5 * mm for idx in range(0, num_passive_radiators)]\n", + "\n", + "# set min/max offset of each surrounding patch center relative to the central patch center\n", + "min_offset_mm = [-10 * mm for idx in range(0, num_passive_radiators)]\n", + "max_offset_mm = [10 * mm for idx in range(0, num_passive_radiators)]\n", + "\n", + "# set the min/max of the patch inset (i.e. - how much the central patch surrounds the feed line)\n", + "max_patch_inset = 6 * mm\n", + "min_patch_inset = 1 * mm\n", + "init_patch_inset = 0.5 * (min_patch_inset + max_patch_inset)\n", + "\n", + "# set the min/max of the inset height and the gap between the feed line and the inset\n", + "min_inset_height = 1 * mm\n", + "max_inset_height = 6 * mm\n", + "min_inset_gap = 0.5 * mm\n", + "max_inset_gap = 2.0 * mm\n", + "\n", + "min_inset = [min_inset_height, min_inset_height, min_inset_gap, min_inset_gap]\n", + "max_inset = [max_inset_height, max_inset_height, max_inset_gap, max_inset_gap]\n", + "\n", + "# set the min/max of the fin widths and heights at the top of the central patch\n", + "min_fin_width = 1 * mm\n", + "max_fin_width = 6 * mm # 10 * mm\n", + "min_fin_height = 1 * mm\n", + "max_fin_height = 6 * mm # 10 * mm\n", + "\n", + "min_fin = [min_fin_width, min_fin_height, min_fin_width, min_fin_height]\n", + "max_fin = [max_fin_width, max_fin_height, max_fin_width, max_fin_height]\n", + "\n", + "# combine all the min/max values into clipping arrays to use in the optimization\n", + "clip_min_values = min_patch_dimensions_mm + min_gap_mm + min_offset_mm + min_inset + min_fin\n", + "clip_max_values = max_patch_dimensions_mm + max_gap_mm + max_offset_mm + max_inset + max_fin\n", + "\n", + "# set initial passive patch sizes\n", + "min_dim_avg = 0.5 * (patch_min_width + patch_min_height)\n", + "init_passive_wh = [\n", + " min_dim_avg,\n", + " 0.5 * (patch_min_height + patch_max_height),\n", + " min_dim_avg,\n", + " 0.5 * (patch_min_height + patch_max_height),\n", + "]\n", + "\n", + "# set the initial passive patch gaps to the central patch\n", + "init_gap_sizes = [2 * mm for idx in range(0, num_passive_radiators)]\n", + "\n", + "# set the initial passive patch offsets to the fixed central patch center\n", + "init_offset_coord_locations = [0.5 * patch_init_wh[1], 0.5 * patch_init_wh[1]]\n", + "\n", + "# start the central patch at the same initial width/height as in the single patch case\n", + "init_central = list(patch_init_wh.copy())\n", + "\n", + "# collect all the passive parameters\n", + "init_passive = init_passive_wh + init_gap_sizes + init_offset_coord_locations\n", + "\n", + "# initialize inset heights and gaps\n", + "init_inset_height = 3 * mm\n", + "init_inset_gap = 0.75 * mm\n", + "init_inset = [init_inset_height, init_inset_height, init_inset_gap, init_inset_gap]\n", + "\n", + "# initialize fin widths and heights\n", + "init_fin_width = 2.5 * mm\n", + "init_fin_height = 4 * mm\n", + "init_fin = [init_fin_width, init_fin_height, init_fin_width, init_fin_height]\n", + "\n", + "# combine the initial parameters together\n", + "init_params = init_central + init_passive + init_inset + init_fin\n", + "\n", + "assert num_passive_radiators == 2, (\n", + " \"The multi patch optimization is set up specifically for 2 passive radiators.\"\n", + ")\n", + "\n", + "def params_to_boxes_multi_patch(params):\n", + " \"\"\"\n", + " Unpack the multi-patch optimization parameters into patch geometries for the central\n", + " patch and the surrounding passive radiating patches.\n", + " \"\"\"\n", + " inset_height_left = params[-8]\n", + " inset_height_right = params[-7]\n", + " inset_gap_left = params[-6]\n", + " inset_gap_right = params[-5]\n", + "\n", + " fin_left_width = params[-4]\n", + " fin_left_height = params[-3]\n", + " fin_right_width = params[-2]\n", + " fin_right_height = params[-1]\n", + "\n", + " num_params_wh_central = 2\n", + " wh_central = params[0:num_params_wh_central]\n", + "\n", + " wh_passive_params = params[num_params_wh_central:]\n", + " num_params_wh_passive = 2\n", + "\n", + " wh_passive = []\n", + " for idx in range(0, num_passive_radiators):\n", + " wh_passive.append(\n", + " wh_passive_params[num_params_wh_passive * idx : num_params_wh_passive * (idx + 1)]\n", + " )\n", + "\n", + " gap_params = wh_passive_params[num_params_wh_passive * num_passive_radiators :]\n", + " gaps = gap_params[0:num_passive_radiators]\n", + "\n", + " offset_params = gap_params[num_passive_radiators:]\n", + " offset_coords = offset_params[0:num_passive_radiators]\n", + "\n", + " left_central = -0.5 * wh_central[0]\n", + " right_central = 0.5 * wh_central[0]\n", + "\n", + " left_passive_patch_idx = 0\n", + " right_passive_patch_idx = 1\n", + "\n", + " left_passive_right = left_central - gaps[left_passive_patch_idx]\n", + " left_passive_left = left_passive_right - wh_passive[left_passive_patch_idx][0]\n", + " left_passive_bottom = (\n", + " offset_coords[left_passive_patch_idx] - 0.5 * wh_passive[left_passive_patch_idx][1]\n", + " )\n", + " left_passive_top = (\n", + " offset_coords[left_passive_patch_idx] + 0.5 * wh_passive[left_passive_patch_idx][1]\n", + " )\n", + "\n", + " right_passive_left = right_central + gaps[right_passive_patch_idx]\n", + " right_passive_right = right_passive_left + wh_passive[right_passive_patch_idx][0]\n", + " right_passive_bottom = (\n", + " offset_coords[right_passive_patch_idx] - 0.5 * wh_passive[right_passive_patch_idx][1]\n", + " )\n", + " right_passive_top = (\n", + " offset_coords[right_passive_patch_idx] + 0.5 * wh_passive[right_passive_patch_idx][1]\n", + " )\n", + "\n", + " inset_left = td.Box.from_bounds(\n", + " [-0.5 * wh_central[0], -inset_height_left, sub_z / 2.0],\n", + " [feed_offset - 0.5 * feed_x - inset_gap_left, 0.0, sub_z / 2.0],\n", + " )\n", + "\n", + " inset_right = td.Box.from_bounds(\n", + " [feed_offset + 0.5 * feed_x + inset_gap_right, -inset_height_right, sub_z / 2.0],\n", + " [0.5 * wh_central[0], 0, sub_z / 2.0],\n", + " )\n", + "\n", + " fin_left = td.Box.from_bounds(\n", + " [-0.5 * wh_central[0], wh_central[1], sub_z / 2.0],\n", + " [-0.5 * wh_central[0] + fin_left_width, wh_central[1] + fin_left_height, sub_z / 2.0],\n", + " )\n", + "\n", + " fin_right = td.Box.from_bounds(\n", + " [0.5 * wh_central[0] - fin_right_width, wh_central[1], sub_z / 2.0],\n", + " [0.5 * wh_central[0], wh_central[1] + fin_right_height, sub_z / 2.0],\n", + " )\n", + "\n", + " boxes = [\n", + " # central patch\n", + " td.Box.from_bounds(\n", + " [-0.5 * wh_central[0], 0, sub_z / 2], [0.5 * wh_central[0], wh_central[1], sub_z / 2]\n", + " ),\n", + " # inset patches\n", + " inset_left,\n", + " inset_right,\n", + " # fin patches\n", + " fin_left,\n", + " fin_right,\n", + " # passive patches\n", + " td.Box.from_bounds(\n", + " [left_passive_left, left_passive_bottom, sub_z / 2],\n", + " [left_passive_right, left_passive_top, sub_z / 2],\n", + " ),\n", + " td.Box.from_bounds(\n", + " [right_passive_left, right_passive_bottom, sub_z / 2],\n", + " [right_passive_right, right_passive_top, sub_z / 2],\n", + " ),\n", + " ]\n", + "\n", + " return boxes\n", + "\n", + "\n", + "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", + "plot_structures_and_mesh(\n", + " params_to_boxes_multi_patch(init_params), sub_x_multi_patch, sub_y_multi_patch\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Similar to the single patch case, we set up a function to evaluate the performance of the antenna during and after the optimization." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "# Helper function for evaluating antenna performance for the multi patch geometry\n", + "evaluate_multi_antenna = lambda patch_params, eval_s_params_freqs, opt_freqs: (\n", + " evaluate_antenna(\n", + " params_to_boxes_multi_patch(patch_params),\n", + " eval_s_params_freqs,\n", + " opt_freqs,\n", + " sub_x_multi_patch,\n", + " sub_y_multi_patch,\n", + " )\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we set up monitors for computing the figures of merit and then run the antenna optimization." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "scrolled": true + }, + "outputs": [ { "data": { "text/html": [ - "
Iteration 32\n",
-       "        Figure of merit: 2.40\n",
+       "
17:10:48 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 32\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.40\u001b[0m\n" + "\u001b[2;36m17:10:48 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -3510,13 +2062,11 @@ { "data": { "text/html": [ - "
Iteration 33\n",
-       "        Figure of merit: 2.94\n",
+       "
17:13:55 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 33\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.94\u001b[0m\n" + "\u001b[2;36m17:13:55 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -3525,13 +2075,13 @@ { "data": { "text/html": [ - "
Iteration 34\n",
-       "        Figure of merit: 3.45\n",
+       "
Iteration 1\n",
+       "        Figure of merit: 0.19\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 34\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.45\u001b[0m\n" + "\u001b[1;36mIteration 1\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.19\u001b[0m\n" ] }, "metadata": {}, @@ -3540,13 +2090,13 @@ { "data": { "text/html": [ - "
Iteration 35\n",
-       "        Figure of merit: 3.58\n",
+       "
Iteration 6\n",
+       "        Figure of merit: 0.26\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 35\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.58\u001b[0m\n" + "\u001b[1;36mIteration 6\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.26\u001b[0m\n" ] }, "metadata": {}, @@ -3555,13 +2105,11 @@ { "data": { "text/html": [ - "
Iteration 36\n",
-       "        Figure of merit: 4.03\n",
+       "
17:32:23 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 36\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4.03\u001b[0m\n" + "\u001b[2;36m17:32:23 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -3570,13 +2118,13 @@ { "data": { "text/html": [ - "
Iteration 37\n",
-       "        Figure of merit: 4.53\n",
+       "
Iteration 11\n",
+       "        Figure of merit: 0.30\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 37\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4.53\u001b[0m\n" + "\u001b[1;36mIteration 11\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.30\u001b[0m\n" ] }, "metadata": {}, @@ -3585,13 +2133,13 @@ { "data": { "text/html": [ - "
Iteration 38\n",
-       "        Figure of merit: 5.49\n",
+       "
Iteration 16\n",
+       "        Figure of merit: 0.37\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 38\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m5.49\u001b[0m\n" + "\u001b[1;36mIteration 16\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.37\u001b[0m\n" ] }, "metadata": {}, @@ -3600,13 +2148,11 @@ { "data": { "text/html": [ - "
Iteration 39\n",
-       "        Figure of merit: 6.34\n",
+       "
17:50:50 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 39\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m6.34\u001b[0m\n" + "\u001b[2;36m17:50:50 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -3615,13 +2161,13 @@ { "data": { "text/html": [ - "
Iteration 40\n",
-       "        Figure of merit: 7.63\n",
+       "
Iteration 21\n",
+       "        Figure of merit: 0.45\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 40\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m7.63\u001b[0m\n" + "\u001b[1;36mIteration 21\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.45\u001b[0m\n" ] }, "metadata": {}, @@ -3630,11 +2176,13 @@ { "data": { "text/html": [ - "
18:14:02 EDT Component modeler batch validation has been successful.            \n",
+       "
Iteration 26\n",
+       "        Figure of merit: 0.84\n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m18:14:02 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + "\u001b[1;36mIteration 26\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.84\u001b[0m\n" ] }, "metadata": {}, @@ -3643,13 +2191,11 @@ { "data": { "text/html": [ - "
Iteration 41\n",
-       "        Figure of merit: 8.97\n",
+       "
18:09:18 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 41\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.97\u001b[0m\n" + "\u001b[2;36m18:09:18 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -3658,13 +2204,13 @@ { "data": { "text/html": [ - "
Iteration 42\n",
-       "        Figure of merit: 10.76\n",
+       "
Iteration 31\n",
+       "        Figure of merit: 2.12\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 42\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m10.76\u001b[0m\n" + "\u001b[1;36mIteration 31\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m2.12\u001b[0m\n" ] }, "metadata": {}, @@ -3673,13 +2219,13 @@ { "data": { "text/html": [ - "
Iteration 43\n",
-       "        Figure of merit: 11.38\n",
+       "
Iteration 36\n",
+       "        Figure of merit: 4.03\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 43\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m11.38\u001b[0m\n" + "\u001b[1;36mIteration 36\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m4.03\u001b[0m\n" ] }, "metadata": {}, @@ -3688,13 +2234,11 @@ { "data": { "text/html": [ - "
Iteration 44\n",
-       "        Figure of merit: 12.26\n",
+       "
18:29:39 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 44\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m12.26\u001b[0m\n" + "\u001b[2;36m18:29:39 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -3703,13 +2247,13 @@ { "data": { "text/html": [ - "
Iteration 45\n",
-       "        Figure of merit: 15.23\n",
+       "
Iteration 41\n",
+       "        Figure of merit: 8.97\n",
        "
\n" ], "text/plain": [ - "\u001b[1;36mIteration 45\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m15.23\u001b[0m\n" + "\u001b[1;36mIteration 41\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m8.97\u001b[0m\n" ] }, "metadata": {}, @@ -3733,71 +2277,11 @@ { "data": { "text/html": [ - "
Iteration 47\n",
-       "        Figure of merit: 18.56\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 47\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m18.56\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 48\n",
-       "        Figure of merit: 22.44\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 48\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m22.44\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 49\n",
-       "        Figure of merit: 23.17\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 49\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.17\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 50\n",
-       "        Figure of merit: 24.39\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 50\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m24.39\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
18:46:48 EDT Component modeler batch validation has been successful.            \n",
+       "
18:51:45 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m18:46:48 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + "\u001b[2;36m18:51:45 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -3818,66 +2302,6 @@ "metadata": {}, "output_type": "display_data" }, - { - "data": { - "text/html": [ - "
Iteration 52\n",
-       "        Figure of merit: 29.28\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 52\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m29.28\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 53\n",
-       "        Figure of merit: 31.02\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 53\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m31.02\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 54\n",
-       "        Figure of merit: 32.11\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 54\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m32.11\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 55\n",
-       "        Figure of merit: 33.37\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 55\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m33.37\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "data": { "text/html": [ @@ -3896,71 +2320,11 @@ { "data": { "text/html": [ - "
Iteration 57\n",
-       "        Figure of merit: 37.43\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 57\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m37.43\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 58\n",
-       "        Figure of merit: 37.84\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 58\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m37.84\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 59\n",
-       "        Figure of merit: 37.48\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 59\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m37.48\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 60\n",
-       "        Figure of merit: 36.68\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 60\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m36.68\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
19:16:06 EDT Component modeler batch validation has been successful.            \n",
+       "
19:23:29 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m19:16:06 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + "\u001b[2;36m19:23:29 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -3984,71 +2348,11 @@ { "data": { "text/html": [ - "
Iteration 62\n",
-       "        Figure of merit: 39.94\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 62\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m39.94\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 63\n",
-       "        Figure of merit: 40.07\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 63\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m40.07\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 64\n",
-       "        Figure of merit: 41.52\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 64\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m41.52\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Iteration 65\n",
-       "        Figure of merit: 41.71\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;36mIteration 65\u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m41.71\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
19:29:59 EDT Component modeler batch validation has been successful.            \n",
+       "
19:37:55 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m19:29:59 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + "\u001b[2;36m19:37:55 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -4058,7 +2362,7 @@ "source": [ "# whether or not to restart the optimization from the current saved checkpoint\n", "restart_optimization = False\n", - "restart_fname = 'misc/rf_autograd_1_multi_patch_opt_state.pkl'\n", + "restart_fname = \"misc/rf_autograd_1_multi_patch_opt_state.pkl\"\n", "\n", "# Set up the multi patch radiation monitor sizes\n", "obj_fn_monitor_dim_multi_patch = 2.0 * np.mean(patch_init_wh)\n", @@ -4135,7 +2439,6 @@ "opt_state = optimizer.init(patch_params)\n", "\n", "num_steps = 65\n", - "print_iteration_frequency = 1\n", "\n", "full_eval_frequency = 10\n", "s11_sq_dB_evolution_multi = []\n", @@ -4145,28 +2448,30 @@ "\n", "figure_of_merit_multi_patch = np.zeros(num_steps + 1)\n", "\n", + "\n", "def pack_optimization_state(iter_idx):\n", - " optimization_state['iteration'] = iter_idx\n", - " optimization_state['figure of merit'] = figure_of_merit_multi_patch\n", - " optimization_state['realized gain evolution'] = realized_gain_evolution_multi\n", - " optimization_state['opt state'] = opt_state\n", - " optimization_state['patch parameters'] = patch_params\n", - " \n", + " optimization_state[\"iteration\"] = iter_idx\n", + " optimization_state[\"figure of merit\"] = figure_of_merit_multi_patch\n", + " optimization_state[\"realized gain evolution\"] = realized_gain_evolution_multi\n", + " optimization_state[\"opt state\"] = opt_state\n", + " optimization_state[\"patch parameters\"] = patch_params\n", + "\n", + "\n", "optimization_state = {}\n", "if not os.path.exists(restart_fname):\n", " pack_optimization_state(iter_idx=0)\n", "\n", "if restart_optimization:\n", - " with open(restart_fname, 'rb') as file:\n", + " with open(restart_fname, \"rb\") as file:\n", " optimization_state = pickle.load(file)\n", "\n", "start_idx = 0\n", "if restart_optimization:\n", - " start_idx = optimization_state['iteration']\n", - " figure_of_merit_multi_patch = optimization_state['figure of merit']\n", - " realized_gain_evolution_multi = optimization_state['realized gain evolution']\n", - " opt_state = optimization_state['opt state']\n", - " patch_params = optimization_state['patch parameters']\n", + " start_idx = optimization_state[\"iteration\"]\n", + " figure_of_merit_multi_patch = optimization_state[\"figure of merit\"]\n", + " realized_gain_evolution_multi = optimization_state[\"realized gain evolution\"]\n", + " opt_state = optimization_state[\"opt state\"]\n", + " patch_params = optimization_state[\"patch parameters\"]\n", "\n", "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", "# at each step and clipping the design on the bounds\n", @@ -4191,12 +2496,12 @@ "\n", " realized_gain_evolution_multi.append(\n", " {\n", - " \"Gtheta\" : realized_gain[\"Gtheta\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", - " \"Gphi\" : realized_gain[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values\n", - " } \n", + " \"Gtheta\": realized_gain[\"Gtheta\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", + " \"Gphi\": realized_gain[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", + " }\n", " )\n", " theta_eval_evolution_multi = theta_eval.copy()\n", - " \n", + "\n", " updates, opt_state = optimizer.update(-g, opt_state, patch_params)\n", "\n", " patch_params = optax.apply_updates(patch_params, updates)\n", @@ -4240,7 +2545,7 @@ }, { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAABVEAAAKVCAYAAADGPqv/AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjYsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvq6yFwwAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsnQV4k2cXhg9SpFDci7u7uzPYxpgwH3N3d3ff/rm7GxM2bDDc3d2laLFCsf7XfZI3pGnapm1qcG6ukDT65dO8z/ec5+RJSEhIEMMwDMMwDMMwDMMwDMMwDCMoeYPfbRiGYRiGYRiGYRiGYRiGYYCJqIZhGIZhGIZhGIZhGIZhGClgIqphGIZhGIZhGIZhGIZhGEYKmIhqGIZhGIZhGIZhGIZhGIaRAiaiGoZhGIZhGIZhGIZhGIZhpICJqIZhGIZhGIZhGIZhGIZhGClgIqphGIZhGIZhGIZhGIZhGEYKmIhqGIZhGIZhGIZhGIZhGIaRAiaiGoZhGIZhGIZhGIZhGIZhpICJqIZhGIZhGIZhGIZhGIZhGClgIqphGIZhGIZhGIZhGIZhGEYKmIhqGEbIzJgxQzp27ChFihSRPHnyyNy5c4Pe/8Ybb+j12rVr0/T+n3/+ebpeZxiGYRiGYRiGYRiGkZmYiGoY6WD+/PlyySWXSHR0tBQoUEAqVKggnTt3lieffDLTP3vVqlVy/fXXS82aNaVQoUJSrFgx6dSpk7z55pty8ODBTPvcI0eOyODBg2XXrl3y+uuvy1dffSXVqlULen9CQoLkZCZPnixPPPGExMbGZvekGIZhGIZhGIZhGIaRC8iTkNPVDsPIYfz6669y0UUXSdWqVeWyyy6TSpUqyfr162X06NGyfft2WbFiRaZ99rBhw1SwLFiwoAwZMkQaN24shw8flokTJ8ovv/wiV1xxhXz44YeZ8tlLly6VBg0ayEcffSTXXHNNivcfO3ZMxVWmE2dpqKT3dWnllVdekXvvvVfWrFkj1atXz7TPMQzDMAzDMAzDMAzj5CB/dk+AYeQmdu/eLVdddZW0adNGxowZoy5Ux1NPPSWbN2/OtM9G8LvwwgvV/clnV6xY0ffYzTffLCtXrlSRNbPYtm2bXpcoUSLV+/Ply6eXtJLe1xmGYRiGYRiGYRiGYWQmVs5vGGkAt+mePXvk6quvTiSgOnClZhYvvfSS7N+/Xz755JNEAqqjdu3acvvtt/v+njNnjvTv31/L/YsWLSq9evWSqVOnJnndpk2bVBguX768OkAbNWokn376aaLn4HDt1q2b3sYJi0u0e/fuyd6fXLYpn8W8Yz7xWTVq1JAbb7xR3bSQ0utSm0bK83ktYjLThahbvHhxufLKKyUuLi7R83ChAp/PayyH1TAMwzAMwzAMwzCMlDAnqmGkgQMHDvgyUbOaP//8U3NQaeCUGosWLZIuXbqogHrfffdJRESEfPDBBypwjhs3Ttq1a6fPi4mJkfbt26uIeMstt0jZsmXln3/+UaFz7969cscdd+jzyGAl//W5556T2267TZ24CJqIs8HuR/QMBJdu27ZtNYf0uuuuk/r16+vzfv75ZxU5g4nSaZlGx/nnn6/i6PPPPy+zZ8+Wjz/+WMqVKycvvviiPn7OOefI8uXL5bvvvtMM1zJlyuj9vK9hGIZhGIZhGIZhGEZQyEQ1DCM01q5dmxAZGUmOcEKdOnUS7rvvvoQxY8YkHD16NFM/d8+ePfqZZ511VkjPHzRoUEKBAgUSVq1a5btv8+bNCVFRUQldu3b13Xf11VcnVKxYMWHHjh2JXn/hhRcmFC9ePCEuLs5339ixY3Uafvrpp0TPDXb/Z599pvetWbPGd9+QIUMS8ubNmzBjxowk03v8+PFkXxfqND7++OP62quuuirR884+++yE0qVLJ7rv5ZdfTvI5hmEYhmEYhmEYhmEYyWHl/IaRBsgjnTJlirodcVZSYt+zZ091iFLqn1nguISoqKiQmjONHDlSBg0apNPlIALg4osv1iZUvB895WhGdeaZZ+rtHTt2+C79+vXT2AKcnOHg+PHjMnToUP2s1q1bJ3k8uSZS6ZnGG264IdHfOHJ37tzpm4eGYRiGYRiGYRiGYRhpxURUw0gjTZs2lR9++EF27dolY8eO1czNDRs2aNMnl7353nvvScuWLbWMngxOf1J6LDkoy4d9+/al+tzt27frdNSrVy/JYw0aNFBBk+nleZTWf/jhh1rK7n/hO/k3jcoofBYiZuPGjdP8urROY9WqVRP9XbJkSV9TMMMwDMMwDMMwDMMwjPRgmaiGkU7I8CRjlAti319//SXLli2TFi1aqOsTgfTbb79N8rqUHktJRKUZ08KFC8M2/YipcOmll8rll1+erGCcnaRnGvPlyxf0eThZDcMwDMMwDMMwDMMw0oOJqIYRBugYD3SDB0rp4e+//07y3JQeS4kzzjhDHZnECXTo0CHZ5+HSjIyMVEE3kKVLl0revHmlSpUqUqRIEY0HoPy/d+/ekpkwTQjBaRWBeV1mTGNy8QGGYRiGYRiGYRiGYRjBsHJ+wwgRskQPHjyY5P758+fL8OHD1YHqn0Eabu677z4VPq+55hrtWB/IqlWr5M0331QnZt++feX333+XtWvX+h7nNbhfO3furIImzzv33HM1czSYuIm7Nlwg3CIe//nnnzJz5syQXaKZNY3MRyAqwDAMwzAMwzAMwzAMIzXMiWoYIfLAAw/I8uXLZfDgwdKsWTM5evSozJ07V7766it1oHKdmdSqVUtF0AsuuECzTYcMGaIZo4cPH5bJkyfLTz/9JFdccYU+95lnnpFRo0apYHrTTTdJ/vz55YMPPpD4+HhthuV44YUXNNe1Xbt2cu2110rDhg0165VmTTTK4na4eO6557ThVbdu3eS6667T77BlyxadbgTqEiVKBH1dZkxjq1at9Prhhx/WLFvyaWle5cRVwzAMwzAMwzAMwzAMf0xENYwQufvuu1XwQwj84osvtMS8Ro0acuutt8q9996rpeeZzcCBA9X5+vLLL6vTlCZVRAmQC/rqq6+qyAiNGjWSCRMmyIMPPijPP/+8ZosiQn799dd67ShfvrxMnz5dnnrqKfn111/l3XffldKlS+vrX3zxxbBOe3R0tEybNk0effRR+eabb7TRFPf1799f4weSIzOmsU2bNvL000/L+++/ry5i5s+aNWtMRDUMwzAMwzAMwzAMIyh5EqzbimFkGjfccINUqFBBG0ml5THDMAzDMAzDMAzDMAwj52CZqIaRCVDqf+jQIXWr+t9O7THDMAzDMAzDMAzDMAwj52FOVMPIBHCXPvnkk4nu++yzzzSzNKXHDMMwDMMwDMMwDMMwjJyHiaiGYRiGYRiGYRiGYRiGYRgpYOX8hmEYhmEYhmEYhmEYhmEYKWAiqmEYhmEYhmEYhmEYhmEYRgqYiGoYhmEYhmEYhmEYhmEYhpEC+VN60EjM8ePHZfPmzRIVFSV58uTJ7skxDMMwMgix4Pv27ZNKlSpJ3rx2XtEwDMMwDMMwDMMIjomoaQABtUqVKtk9GYZhGEaY2bBhg1SuXDm7J8MwDMMwDMMwDMPIoZiImgZwoLrBdrFixdL1HkeOHJGRI0dK3759JSIiIsxTeGpi8zT82DwNPzZPc+Y83bt3r54cc/t3wzAMwzAMwzAMwwiGiahpwJXwI6BmRESNjIzU15uQEh5snoYfm6fhx+Zpzp6nFtFiGIZhGIZhGIZhpIQFwBmGYRiGYRiGYRiGYRiGYaSAiaiGYRiGYRiGYRiGYRiGYRgpYCKqYRiGYRiGYRiGYRiGYRhGCpiIahiGYRiGYRiGYRiGYRiGkQImohqGYRiGYRiGYRiGYRiGYaSAiaiGYRiGYRiGYRiGYRiGYRgpYCKqYRiGYRiGYRiGYRiGYRhGCpiIahiGYRiGYRiGYRiGYRiGkQImohqGYRiGYRiGYRiGYRiGYaSAiaiGYRiGYRiGYRiGYRiGYRgpYCKqYRiGYRiGYRiGYRiGYRhGCpiIahiGYRiGYRiGYRiGYRiGkQImohqGYRiGYRiGYRiGYRiGYaSAiaiGYRiGYRiGYRiGYRiGYRgpYCKqYRiGYRiGYRiGYRiGYRhGCpiIahiGYRiGYRiGYRiGYRiGkQImohqGYRiGYRiGYRiGYRiGYaSAiaiGYRiGYRiGYRiGYRiGYRgpYCKqYRiGYRiGYRiGYRiGYRhGCpiIahiGYRiGYRiGYRiGYRiGkQImohqGYRiGYRiGYRiGYRiGYaSAiaiGYRiGYRiGYRiGYRiGYRgpYCKqYRiGYRiGYRiGYRiGYRhGCpiIahiGYRiGYRiGYRiGYRiGkQImohqGYRiGYRiGYRiGYRiGYaSAiaiGYRiGYRiGYRiGYRiGYRgpYCKqYRiGYRiGYRiGYRiGYRhGCpiIahiGYRiGYRiGYRiGYRiGkQImohqGYRiGYRhpZu3atZInTx75/PPPffc98cQTel9Ww2fy2TlpXhiGYRgnP3YsPIEdC41TARNRDcMwDMMwcikMVBiwuEv+/PklOjparrjiCtm0aVN2T16OZO/evfLss89K69atpXjx4lKwYEGpVq2aXHDBBTJs2LDsnjzDMAwjjdixMO3YsdAw0kf+dL7OMAzDMAzDyCE89dRTUqNGDTl06JBMnTpVB5QTJ06UhQsXSqFChbJsOh555BF54IEHJKeycuVK6devn6xbt07OPvtsGTJkiBQtWlQ2bNggf//9t5xxxhny5ZdfymWXXZam92XgefDgQYmIiMi0aTcMwzBSxo6FoWHHQsNIPyaiGoZhGIZh5HL69++vbhK45pprpEyZMvLiiy/KH3/8Ieeff36WTQfuHy45kaNHj+pgMSYmRsaNGyedOnVK9Pjjjz8uI0eOlGPHjqX5vXE+ZeUA3TAMw0iKHQtTx46FhpExrJzfMAzDMAzjJKNLly56vWrVqkT3L126VM477zwpVaqUDnQYbDK49GfXrl1yzz33SJMmTdSZUqxYMR2Yzps3L9XPDcyBo5TSv8TS/+Kf2xYfH68Dt9q1a2tJYZUqVeS+++7T+/3h7zvvvFPKli0rUVFRMnDgQNm4cWNI8+Snn35SN9Kjjz6aZNDo6Nu3r37XtM6LYDlwfHdeQynpoEGD9DbTzfulZ3BqGIZhpA07FibFjoWGkTFy5ukRwzAMwzAMI90wkIGSJUv67lu0aJEOmMiJo8ywSJEi8uOPP+qg5pdfflFnCqxevVqGDh0qgwcP1rJI3CoffPCBdOvWTRYvXiyVKlUKeTquv/566d27d6L7hg8fLt98842UK1dO/z5+/LgOACm5vO6666RBgwayYMECef3112X58uU6LQ6cRV9//bVcfPHF0rFjRxkzZoycfvrpIU3Ln3/+qdeXXnppyNOf0XnBAJGSyXbt2skrr7wio0ePlldffVVq1aolN954Y8jTYRiGYaQdOxYmxY6FhpFBEoyQ2bNnTwKzjOv0cvjw4YShQ4fqtREebJ6GH5un4cfmac6cp+HYrxtGdvLZZ5/pOjx69OiE7du3J2zYsCHh559/TihbtmxCwYIF9W9Hr169Epo0aZJw6NAh333Hjx9P6NixY0KdOnV89/H4sWPHEn3OmjVr9P2eeuqpRPfx2UyD4/HHH9f7kmPFihUJxYsXT+jTp0/C0aNH9b6vvvoqIW/evAkTJkxI9Nz3339f32vSpEn699y5c/Xvm266KdHzLr74Yr2fz06JFi1aJJQoUSLJ/fv379d55y7++4OMzIvLL79c7/N/npuOVq1apTithmEYRujYsdCOhYaRVZyS5fzvvPOOVK9eXa37nA2ZPn16dk+SYRiGYRhGusHhQnkcpX+UKOKsoTSxcuXKvlI8nCpkwu3bt0927Nihl507d6o7ZMWKFb4OxpQQ5s2b1+ce4TmU39WrV09mz56d7mk8cOCAOnxwBH333XeSL18+X2khjpv69ev7potLz5499fGxY8fqNc0u4Lbbbkv0vnfccUfInYj5HoE8/PDDOu/cBWePIxzz4oYbbkhSXoqrxzAMwwgvdixMHTsWGkbGOOXK+X/44Qe566675P3331cB9Y033tAd5rJly3xWesMwDMMwjNx2grhu3bqyZ88e+fTTT2X8+PE66PHvxJuQkKAZaFyCsW3bNi1vpKTwzTfflHfffVfWrFmTKLOsdOnS6Z7Ga6+9VnPpJk+enOh9GLQuWbJEB23JTRfQRZhBHOV//jCICwVy4xj4BXLTTTdpJ+Jg5Y0ZnRecsA/8Xgycd+/eHdI0G4ZhGKFjx8LUsWOhYWSMU05Efe2113THdeWVV+rfiKnDhg3TnSyZKIZhGIZhGLmNtm3b+joSk+vWuXNndZFwkhi3CAMgoJEDJ4+DQSMLeO6553RwedVVV8nTTz+tjTcYsOFyce+TVhh84bghw6158+aJHuM9aVbBb7Rg4CgKB7h75s6dqy4jBsgOBtxcILCrcEbnhXMYGYZhGJmPHQtTx46FhpExTikR9fDhwzJr1ix58MEHffex8WP7nzJlSpLn0/XOvxMe1nc4cuSIXtKDe116X28kxeZp+LF5Gn5snubMeWrLwzgZYbDy/PPPS48ePeTtt9/Wk8Q1a9bUxyIiIpI0twjk559/1td+8sknie6PjY2VMmXKpHl6JkyYoANWBluXXHJJksdx09Dht1evXom6GQdSrVo1Hazh4PF33DA4DgUcNt9//7028qDbcSiEe14YhmEYWYMdC4Njx0LDyBinlIhKpgjW8/Llyye6n7+XLl2a5PnsdJ988skk948cOVIiIyMzNC2jRo3K0OuNpNg8DT82T8OPzdOcNU/j4uLCOi2GkVPo3r27OnKILWLARmQR99FN99Zbb5WKFSsmev727dt9pXYMPCl39IesNlwrzqETKlu2bNHsOdxAL7/8ctDn8DgZbx999JF2JPbn4MGDOlgk165///7y0EMPyf/+9z8t2XTwHUOBz8FNg4uma9eu0r59+yTPCfze4ZwXhmEYRtZix8Lgn2PHQsNIP6eUiJpWcKySn+rvRMVG37dvXylWrFi6XU8M+Pv06aNnwIyMY/M0/Ng8DT82T3PmPHUVBoZxMnLvvffK4MGD5fPPP9eGDgy2GMBRLki0EY6cmJgYrcbZuHGjOmCcS+Wpp57S6KOOHTvKggUL1LHiHDxpgcYXDEpxu+B88adp06Z6ueyyy+THH3/UaaRxRqdOnfSkNye4uX/EiBFanknp40UXXaSZbOTdMW3//vuvZtyFAvuJ3377TUs4mQ/nnHOONrZgUMpAkOYj69evl9NPP933mnDOC8MwDCPrsWNhYuxYaBgZ45QSUbGacxaFnaQ//F2hQoUkzyeE2j+I2n/Hk1ERJBzvYSTG5mn4sXkafmye5qx5asvCOJlhYER54CuvvKIDxYYNG8rMmTO1yobBJI0lcOW0aNFCHnvsMd/rcLjQPfjbb7/VhpwtW7bU/Pj0ZMczaGQQ6H9S2vH444/rwJFopaFDh8rrr78uX375pQ7uqPhhcHb77bf7MtqADHtcQgzeeA1di5m2ULPieC+y4HDw8Dn//POPxj1RlUTDUabJNdYI97wwDMMwsh47FibFjoWGkX7yJAT6sk9y2Clg6X/rrbf0b2zxVatWlVtuuSXVnQCOpeLFi+sZn4w4UbHpDxgwwAbvYcLmafixeRp+bJ7mzHkajv26YRiGYRiGYRiGcfJzSjlRgbM/l19+uVrhXT4KZ1WwphuGYRjph5NSxxM8HTrz5smrofiBwfg8J0ESfI8bhmEYhmEYhmEYRm7glBNRL7jgArXTY9XfunWrZooMHz48SbMpwzCMU4Fjx49J/NEjEn8kXg4fPSJHjx1TIfR4QoIcPXZU7ztyjPuPiqtbQASliEEvetvzPsFAKEUw5XkIqP5QtpQvT169zpsnj34m78N1Hskj+Xg8L2Kr59ozvcclwTt9x48dk7V7tsihI/Hm7jUMwzAMwzAMwzAylVNORAVK97lkB6dYeoJhGNkMwmXc4YNy6MhhFUQRS/1vHzl2NNP3eccSjiX6WwXQhOOScNR7zd+4WL1Cq+c5nutj7vGE4yqsqvCaN5+Kr1wOHD5o+1XDMAzDMAzDMAwj0zklRdTs5OGfXpN1a9fJjqh4qR9dS6qVjZZKJcqpMGAYhpEREBPjDh+S/YcOyP5DcbLv0AGJi09dZMyfL58UyF9ACkUUUIEyr9f5mTdvPimQL79E5I+QAvkjVMQEqvD1dp48+t4HDx+S+KOH5dDheDly9Ig6Q5mOg0fi5WD8QX0cMfT4cRymvAHTKh6hlH9a4u95zzx59X/1u/J8j4M1QZBYIS//9DkicfGHZNXuDfq5xYpEZcUsNgzDMAzDMAzDME5RTETNQuKPHJZfpg2Xw0ePyvy/VkmRgoUlsmBhKVmkmNSvVEuaV28oLao3lLoVq6uQYRiGkRKUvsfG7ZN9B/eraMolWFl9RL78UqhAQSmYv6AUjIiQgvkLSMEI/o6QghEFJH++/CHvw3btj5VdB/bo9e4De1WkDQVPeb5fBmoekXwqiPqX9Oc9IeD63ef5O48KrcQNbI3dJsu3rJGNu2Jk874d6mw1DMMwDMMwDMMwjMzERNQsBCGAMlrcV7Fxe/Winqs8eWTuuqXy95z/pHhklJSKKiEd6rSQtrWaSfPqDaRMVMnsnnTDMHIQOE23xG6Xnftik4imnIApWihSogoVkSLea4TS9EDJf8yeHbI1drteI9IGg8+MLFhIIgsUVrG2UITnUliF2wJ6X4F8EZLHK4Z63K6e67R+71ELJul3jypcVOpVjJRihwvI0eOZG0lgGIZhGIZhGIZhGCaiZiF4pdrXbi7LNq6S/UcPqqvLNWg5fPSw7NjPZbes3rZBZq9ZJJ8X/EVKFSkudSvVlB4N20n7Oi2kfqWa1tHaOCkhC/Po8WOexkLa5d2Tg8nFNRNKjGc7cE2JXE4mf+OsxH15srEnbp9s3LVVYg/s9d2HWFmiSDGfaBpZoFCG9hHM/407t8qa7RtVOA2MAogqXERKFS0hpYqUkFJFi6mYyTRkNkzLbzNGyr6DB3QZN61aXxpH15HpMkXKFy+T6Z9vGNnNSy+9JJ9++qksXrw4UyKAunfvLjt27JCFCxdKToHGn+edd56sWbNGypYtm+mfF+o8WLt2rdSoUUM+++wzueKKKzJ9ugzDMIycc7wM57HjgQcekLFjx8q0adMkK2CMcPPNN8vbb7+d4vM+//xzufLKK/X4W7169SyZNsPILZx8KkMOhu7WtcpXlYS4I1K7Ri1pXLWulIwsJvPXL5P/Fk+TpZtXqYiEsIqQsffgfr2s37lZxi6aoiIJGaoDW/eWs1r1lkoly2X3VzKMkDq/k5PJiQKiLOj0Hn/E0/GdpkY8h+vAzu0ZhR9NuB/J8nTuyMIFCmmMBte5id0H9siGnVtUQHQ/gEoXLan7AETNcO2fVsVs0P0QGaYO3r9iibJSoUQ5dcUzP7OaLbu3yY9T/1ZnLALuWa1767QcOXIky6fFMLKDvXv3yosvviivvPJKkgFhfHy8fPjhh/LDDz/IokWL5MCBA1KmTBlp3bq1XHTRRXL++edLvnwe1/fmzZv1uYMGDZLmzZtn+nQ/99xz0rBhQ/289HDaaadJ7dq15fnnn5fXXntNTlY2bdokd955p4wcOVKPhT169JDXX39datasmd2TZhiGcUoeL7OKO+64Q9544w35448/ZODAgXKyMnnyZLnvvvtk9uzZUqxYMZ3X/EYoWrRodk+aYaQZE1GzEJxypzfvLp9u2qqNV3CbkvfXplYTua7XhVrKv2LrWlmwfpmMmD9BJi2bpY1h1JF37Kgnh/DAHpm3bqm88udHUq9iDTmnbT85p+1pUqpo8ez+esYpijYWopFQPB3g47XJj14fiVe3dVpRR6k3CzOPX+k3P4Q87YYSf7bHrUrzIVysHteqc7MeOu6ZDk5G+INLFXEQFyWiHO7NnAiiIc70nft269/Mg/LFSkulUuXD5v5kXi3fslaWbV6t8woQmTnhU71stBQtlHaRlnl/wLs+IM6yHJleYgZCzV917Ni3W36ZPkLnRdUylVRAzQrnq2HkJHDUHD16VAd5/mzfvl369+8vs2bNkn79+skjjzwipUqVkq1bt8ro0aPl4osvlpUrV8qjjz7qE1GffPJJdZVklYiKkzS9Iipcf/31cs899+h0R0XljAZy1apVk4MHD0pERMZPKu3fv19F0z179shDDz2k74mA2q1bN5k7d66ULl06LNNsGIZxKhCu42VWHTsqVKggZ511loq+OUlEveyyy+TCCy+UggUz/pubY1mvXr2kQYMGekJ048aN+n1XrFgh//zzT1im1zCyEhNRsxAcXJ3qtZLYlVulWtM6MnH5LFkZs06mrZwn01fNl+bVGkjfpl3kok5n6gUhYsnmVepCHT5vvOamIkggGiFQzF67WOasWyLP/PauNqS6f+B1WvJvGJkFgpvr+n7g0EGJO+wRylJykSKCsu77XyK8DlHETDrD8xxucx2OuAqm5zBO16NHtWs8zkrPha7xB9X5ums/zZH2yLrtm1QorFCijLobc0pTN7rbL9m4Uucv8wQ3aHSpCmF1glIiP3P1Ap/DtUjBSGlYubbUKFs55PInhHJcspt2bZXt+3Zpo6u9cfuDNrgCGumVK15GBdGa5apIscLJn4FG/P552j+67Pj+Z7fpmy1OWMPIbij9Y3BVqFChJIOcOXPmyC+//CLnnHNOoscefPBBmTlzpixbtkxyM+eee67ceuut8tNPP8lVV10lOQE9MRSwLNLLu+++qwPJ6dOnS5s2bfQ+BvqNGzeWV199VYVowzAMI/cfL5M7duDKHDx4sKxevTrHVCDgyA2XK5cThCVLlpT//vtPXajAydxrr71WKzD69u0bls8xjKwi80NCjKA70MZV6sqtpw2RuwZcJU2q1FVH3Zy1i+WlPz+UX6ePUNEAEaNR5TpyS78h8td9H8uK10fLD7e9KVd2O0/KF/c4E3gdIsuUFXPk7Fdvkib3DpDXhn2qImtGQbClkQtOsO17d8q2PTtVdOHCbXfhsZ37Y/W5iFPGyQMC2fa9u2TNtg3qgEbwX7hhuQqPO/btUvcpgqWnmVERKVuslFQpXVHqVqyumZVtazeT9nWaS8sajXSdr1uxhlQvW1miS5XX55LlyetwPuJQDFfeL9sObkXcpgijnmmqIc2q1Zd2tZrptNUoV0UFPT6TdXfl1nXqDidzNDkBMKtg+124fplu2zRnauad3nAJiCyzueuWyNhFU1VAJe6gba2mcnqL7upATU1AZTtftnmN/D5ztLw76mvNKuVE0JptG2X3/j06/3iPyIKFVSRlOSCWw+4De9X1Omr+RPnw3+/lp6n/6LwPzF5lmfAY01c6qqSc0+40E1CNUxLyyObPny+9e/dOdP+UKVNkxIgRct111yUZEDooUbzkkkv0NoMXJ9KRc8a+jwu5Z/6QIYczMjIyUqKjozVbLhBKIh9//HEttcelUqVKFS3T434H702p5BdffOH7LJcBt27dOrnpppukXr16UrhwYXVbMoAkLy6QcuXKSdOmTeX3339P1/zje/PZlG8ykMP1U6RIER1kb9iwIehrUpsHTGeweZcefv75Z10ubtlA/fr11bXz448/Zvj9DcMwThXCdbzM6mOHm970HueeeOIJfd+lS5eqIItQyXH19ttvl0OHTkR0+TN06FA9WccxvFGjRppB7g/TyHsGOy6nNV5h1KhRcumll/oEVBgyZIiW8ttxzsiNmBM1myHj9JqeF8imXTFawj9v3RIZt2S6zF27RAa16aMOUycsITR1a9hOL89fdI+sjlkvf8z6V76fMkzWbt+oWao4wRBi3/jnM+lYt5XcOeAKaVurWYriFIJHXPwhORAfp+INwhgibnoFUQQ1phXxh2uEFP07oqA1xcrhsC7sidsvO/bslDWxm2T22kVJzkLS6T2qUFEpUqiwdmOnKzsd2MOxbBHScI4i3nLRSICjhzVT9cixYyrss15y7YROT5l/HkbsWvbvcbfml/x58+k1whvl+oi15KHyfE8pfxHNFOX9OBlAB3o+D4F46+7tWjLPaw8cYruI08/nM5lGvivzge/trnlvGjtlFL7bss2rdLqY5gbRtcIqHlIWT1QIJ0MA0bR59YYhNeJiXrBOsH9ypf+AGI2ztHzxsiqM83fRgpGJxFjmG+7aHXt3yabdMbJ2+yZ1r7Lv4oLYjbiNwM6JG3Ki2Q8hwp7X7rQcG7lgGFmRIwYtW7ZMdP+ff/6p1wxMQoEyuqeeekoee+wxHUh26dJF7+/YsaPvObt379YcUgaZDMQQ+O6//35p0qSJuiPdSRgGkRMnTtT34X0XLFigJejLly/XgRl89dVXcs0110jbtm31eVCrVi29njFjhn4vSgUrV66sg7T33ntPm3MwCGUA6k+rVq1875tenn32Wd138322bdumGXQMXCkzRMhNyzwIBgLyvn37QpoWMvjcvGTAH8xhy3zDocN75pQYA8MwjFPheJmVxw4oXry4Hh8nTZqk+djphc/F4UmO+NSpU+V///ufTteXX36Z6Hkcv3/99Vc9mcnxhedR9bF+/foUI2SIn0lOlPWHuAK+E/D7gHgFRGp/ChQooLFCuIMNI7dhImoOAeHgqu7nyZJNq7R8FRHhi/G/qjv1gg4DguYS1ixfVe4YcKVecAu+O+ob+Wr8b7I/Pk6Fkv8WT5XxS6ZLtTKV5KFBN8qAFt19pcrOYYorDNE0ObQpT0RBXx6lv1Dm7xyjIRaiF5/rKfk+oBd/cKIhiGhn76IlTsru6bkRlhdl7awPsXF7dVB37NgxOewV0REGixXy5IciPGY0j1LFtPiDGgnAhXgA1hUch6y74W4wFQgl68Uji0qxyCgpXrioZqjSuGnz7hjNBl0Vs16nh/sR/8nxDFUgRlTGYVuuWCltxMR2zSWlkvVAVmxdp7EDiLOU1odzO0H4/G/RNF3ObI/Ef1QuVSHV1yHoUvY/feU83caB71S/Uk2pH11LyhUrneo84nEVmstG68mjjnVbSuyBvXriaN76pbr+jVk0JdFryhUvLWe27JWm+WcYJxs4S4COvsHux0niDwMcBjqO/PnzS4kSJaR8+fI6kENE7dChQ9DBJJmpDLYoe4Srr75aM9w++eQT3yDw22+/1fy4cePGSefOnX2vZTpuuOEGHcQizPL+/E1pYuBnnX766ZqV6s+ZZ56p00Wppft8B+9B52MGsDhT08OuXbtkyZIlPkGSQTYDzo8++khuu+22NM2DYHz33Xfq8A0F9/uJaUJ8rVixYpLnuPuYHhy7hmEYRtYcL7Py2OF/nOMkYkbgezs3680336zOTyJjyBWnosPB9+Gz3IlN3LPNmjXT49gtt9yS7PvzGNUlqUGmN05e2LJli14nd5ybMGFCOr6pYWQvpmLlMHCdPXDWDTJ6wSQZtWCizF+/VEupyUiltD85EG4eP/dWeeycW+SfuePl+d/f0yZV5Keu2b5Rrv3oYSlfvIxc1mWQ9GzUXkWaQLFUBY6CkeosRAyixDet+ZDazMcvg9Ljao3X20ePecQ6LnnyrNdGWrjPclIO5anEnrh96kZkefiXr2sDoKKFJTqqrJZ4FyqYMQcguZaI/AhmNEbbE7dX14WUCHR5an5q/ohE7lKaTyH2Oofq0eMelyrrPO/Puoi4z30HcVofjlNhdGvsNpm1ZqFO07a9OyX+SLzPPa2u6YiCUjCioK67R44d0cEuQqPnM/PpCQXe2zlmDx/FMetxzZK3um7HJr34w0mDBpVqya79O3ReR0hwZynRGLv2x+pnIFCGU0BlPoxfMkMFVLbtrvXbhtSQbsvubfL33HE6XUA2abs6zaV2+WoZdh/jWsVZT+zDkk0r9SQSTmhczrXKV5P2tZuluRGVYZxs7Ny5Uwd2gR1sKZGDwPvff//9RE4WyvQWLlwY0mfxXv6CJ04RHJHktDnIJsV9Ssk5wqajZ8+eej127NhE7tZg+Lt3jhw5ot+FaAAGr3TuDRRRyVIDPi+9Iiqlg/6OTkRcBnB///13ooFwKPMgGDQqoWQxLdBgBII17nC5ee45hmEYRtYfLzP72OF/nMuoKxPh1B/yxBFRmVZ/ERUnrRNQgccQXFObVmJ7QnHzumN2KMc5O8YZuREbneZAEE76N++mGZJfTxgqW/fs0OzALvVba2OVlARHRI0BLbrpZe22jfLg96/IhKUzVExCMHvlr4/l3ZHfSP/mXeX6XhdLxZJlVcwMV7kwkQLIKgXyRUi+gnm1pNcJLXHxcbJX3YYH5dDhQyqqcSFHETEHkZdpMTIPxEbWp217diQS0hFOnaCN85RB7dICC9MsbiM4ItJ5BMpdWrrtX/btQCRk3cDZissatyd/s+4j9uFI3Xdwv8edeijOK1B6hHnX8Z11OlTXKtOFYMoJiR37Yj1l+ZKgoiqPcQLBCa8ItbXKVZGKJcvp8woXKCzVy1aSdrWa6w+z5MChyfcmUoP5u3n3No3p4G8ESLZDulGu/nmHtK7VRLNZKYF32wffiRJ3QLQN5j5PL3xHSviZDoTpno06hOTuxAmPO5T5wgmWHo3aq7gb7lgOBOyWNRrrxTCM0HCDOlw0rmwOKMlzbpu7775bTzaFCqX1gds3gyFKzh00QcLFUrZs2aDvgVs0NRg0UW5IA5BNmzYlqmyhS30g7vGM7Hvq1El8Ipr3QrgNzHsLZR4Eg0F1MKdNKGKyf5asw5VM+gvOhmEYRtYeLzP72OFwcWEZIXBaEUoZcwVOa9WqVZO8lmml9D8lGjZsqJdwHufsGGfkRkxEzcHQDOeeM6+Vv2aP0XzACUtnypbd27XsP5TsxejSFeSFi+6VqSvnycdjvtdSZdxzuOV+mT5CRi+YLHefcbVc0+P8NE8bQtbOfbFaBo3TEMELgTQtDXkQwRCeEM4Q0Nbv2CxlipVSAQkxzwgfzGcchVtit/uWEQIp8xnxGjEzvSB68t5kim6O3SaHAlzOfE7pKE+EQ8nIYiqU8xrWHRqSkYvJNQ2JMtKYjM/BncqPEP2X4Jm29eoM3awCLFDGjnO7bFRJKVm0hEYVsF3sPXRA9hzYq89btmWNXtzJBUQ+HN44xWmMRZMq3sMfnuvK9/3Brbp8yxqZu3ax7Ni6Td8fQZNLheJlpHP91tKhTgtd/1lOfFZ0ycTvkVEWbFimy4fv3rVB21QFVObhvwunyJy1i/TvepVqSu8mnXy5pDy+dPNqbWiHYEyWMtPNukSjvGbVGqhYm9kwDbsPetwFhnGyQj4ZeWKB2Zg4QQHXTKdOnXz30+SJixsU+btFUyO5Trz+IicnVch4e+2114I+1312SuCOQUC94447tISfQS2DRzJSg50ccwM7lyWamYQyD5IThoMJwMGgQQmUKlVK3Tmu3NEfd1+lSpVCek/DMIxTnaw8Xobr2OF/nAv3MS45UTa908oxLhTnKC5cjm/gTi4md5yzY5yRGzERNYeDwIj7tE6F6vLl+N9kZcw6eWvEl3Jjn0tSdG3SKIdmLYhIlUuVl+cvuleWbFwpP079W8UhhM89B/fJYz+9IZ+M/VHeuuIxaVu7eaoORsQyHH04BFObbn8Xo0fU8jj/nIinpdkF8qkgu2HXVhViEXmKRxbThj9tajWRiiXSV7ZnnFhuuCERN93AlJJ15m9GYhRYhgiyNGHCcekvnqtIGVXKI1QWK63imnNm0pUdMc/lagYDx2OxwicyWF20ROEI16ysoETki9DPYfop986XJ2+iJkZ818kr5sjwueP0cZonMR2Ile1rN5eihYv4smBp0MZ32Xtwn8Qe2Cdbdsfo+oiLllxYbXJ19LCur8Pn8X4R+nmIhKyrTGvePHklghwl/o4sqttmheJl1c1aqURZFV3rV6wpRXflkbotG8rsdYs1C5Rt6udpw2XEvAm6jTOdNctVSfRdMgrzffHGlXq7Ta1mUrpo4qynQNhOmR6EV358da3fRtrUaqq3eezP2WPkhd/fl9XbgncmhahCRaRfs65ySeeBOr8zo6Ec69D3U/6SJSuWSavNbaVJNcsMNE5O3OCPrsP+5XhnnHGGvPDCC/LNN98kGhSmRDi2RZwt8+bN0+7xoWQhB4OGG5dffrm8+uqriRwpsbGe2JBA+O4MLpNzv4YCDlp/2J+tXLky0TzNCHRwTmsmKvt6BOmZM2cmec60adM0I8+aShmGYWT98TKrjh0Opplc0ozAtPrnwTKdjIloNhUObr/99jRnouL0pZKP4xxZso7Dhw9rcy7/+wwjt2Aiai6B0v47B1wp7436VgWf/w3/Qm7ue1mSTENEs5Ux62Xnvt0+waxamWjtlt26ZhMVNmhANXn5bM1MxRWHS2/QqzdJtwZt5e0rH5fSXhcoO13EpLXbNmhpdqDLFDcbDsNihaP0NhfELsSmlAZWiB8uL3UPDta4fRIbt0927t+tbkSmnWxI8mCrl4mWFtUbSfVylbXk2pA0la87dyNQHl65dAUpVcTj+EkPiO80XqIs3l8I9XS6L6/iLOsBYvvaHZtk2sp52jAomMjOeoagxzpUumhJdaoiSGY0A5PP/m7yX75cUsTi7g3baxOppVtWy9sjv5KFG5brCQnK79MLrtf8efOrqFs6qpREFYqUbRE7gwqgzO/KJStInr1HpHrTOnJRxzO04zzNmkbNnyQbd23V+Vo/uqY0qpJ89nFaYRlNXzVPb9etWF2bzKUGDlQnoJ7eors0iK6t9yM43/jJozJuyXT9m+xYGlPV0G0zUh3urG9z1y3R+UqDPC5kOd/R/0p9r3CKw0wH62ORAoWldvmkZUmGcbKAUxMYgPgP2hgI9unTRz788EPN4zzrrLNSdZUUKeKpOkhOrAwFBjzkq9FU47rrrkv0GA4Vjf/wfg7XwT4LF0zgtL311lvJRg/MmjXLNx/SCw0/HnzwQZ8oiZCLC4buyeEgPZmoLl/vgQce0OXruhcvW7ZMxowZo81ADMMwjKw/XmbVscM5PFetWiU33nhjht7nnXfekb59+yY6rkIoja1CIT2ZqFSakMH69ddfy6OPPuqbj1999ZXGKwwePDgs02YYWYmJqLkIXG239b9c3hn5tQpTHiH1Ul9ZMY5OHGcIlAgg5C1SFuwvmNHtmgZUw+eNl8/++9nnJjx87IiMXTxVWj00SB4++yZtOrNk88pEpdkIJdGlymnXccSv9JbrUvbMBbce38nhnIE4FRFiEGRoirU5drtUKFFGaparKvUqVld3o5E8Bw7FyYqYdXoNODApQQ+liVBy4GalJJ1cXQfvyzqGSI+QiAhIiTq5noGCe8mixXVdZHlHl2T9KRlWQc39+OHkwK/TR2hURB7Jo+sN69H1Hz2sTa2CQeMqRF3ntNTGVJqVelwI+OV9nIsaRzU5AfzM8riqPS5VTgJw8oCYDefyjSpUVCLy4bQ+LPsOHZD1Ozdr4P26397WkxutazbWExdEarAtzli9QLbG7pDnh74vZ7bqKZ3rtc6wawy3K9swIjcl9qFkoFLC7xFQe2h8ASzbvEYue/dunZeIpzf3u0xu7H1x0FgRBBQad+F6x2W7aOMKufajh/TzX7vsoRQb5IUK6zbN96BF+brWfMo4qcGNiJNj9OjRctVVVyV6jEHJaaedJoMGDdJBEgMVBi9bt27V548fPz7R4AkXKc2baKbBQAaRs127dkk6GacETZ9+/PFHueGGG7SJFINTxE+6H3P/iBEjfGJgq1atdDoo/adkj8/h83AFMYBicEW+2pQpU/R5lGIGy1glUy6wYcbnn3+uzk9iAa644opUp5vSws6dO+trYmJi5I033tBcu2uvvVbCQXoyUeGmm25SQfr0009X0TQiIkLnV/ny5TWjzzAMw8j642VWHTuAz2esESjucmzD+YlLNRQ3Kc8bOHCgfk+Oq3zniy++OMMO14xkosKzzz6rDSdxqHLylR4RVKIg+DKthpHbsJFnLgNx5rbThmhzKJyGbw3/UoVVRJnFG1do6THiZr2KNZPNuUQgoXEVpcMv/vGhOgIRLjfs3KxC7KM/vq7NY67qPliFTsqLEcsyu+kTpdmeEvBS0qRqPRXupq+cJ5t2b5UNO7aoGLRx5xZ1LOLMRawyTsDBF0fjhp1b9Dbl7lVKV9LczfQIlrwHohmCLM2i3LrDfKdzOpmiq7dtlP8WT1Wx2z/HjnUF12O1spV13XFZmpkF6/0PU4ZpRicxFojxG3dtUaHTQfMqXJU4Zclj1TJ9FTj3a/MqxFK2HQR+1kW+q+a5Fi2h62Qeb2k885KIAfRNRM9Nu2P0xAXC7Z64fRp1saXwdv083qNEZJR2s29YqbZMnDFFDhQ8qqIqGcdc2HabVqknQ7qcJUs3r9EyecTHFVvXqWMVsTo9cKIFYRva1GyaanQD2xtNpIAmdk5ARQQd/Mat2pQKwfzzG1/0uVM123b/Hv3+ZYuX1uXM/KH8n8vDg26Sj8b8IB/8+50Kuv2eu0LuG3id3NL3sgyJ6P8umqL7KvKTayaENz/WMHIiDAYfe+wxdXr6N2GgU/3kyZPlgw8+0HLyJ598UuLi4rT0HSGT0sULLrjA93wEOgZkuGoQQcmOQ4RMi4jKtjt06FB5/fXX1aHz22+/SWRkpA5eKfWrW7eu77mIgQyYHnnkEZ12SvgRUd988011ozJ9lPEjxDKIxCEUyK+//qq5oYElfzhYIFTh8qGHHlIxloZW5OURR0DXYqY9O0HMpuyRDtHPPPOMHku7d++u8zcj8QWGYRinIuE6XmblseOnn35SoZYTnYHHOb4DJz9Dge/Fd6e6gRL6W265RV5++WXJblq2bKnHeNy7HOs47l199dU6Tw0jN5InIdS0Y0P27t2rrgks98WKFUvXe9D1nDK4AQMG6GAmvSDUvD3iS81UJJexR8N2Kv4guOD0CtUlStntM7+9o7mQCDtkqTrHXskixeW7W96Q5jVSd7BlFpQjr4pZpyIq0QIIJy7TkSY2uNuiCkaGZZ7mZhCxiGdwWbUIzYjkrjFSWlm/fbN8+uvXUqdhPR3o4tSsVaGa5nYiPM5esyiJUxmhkcfJ/0Tsz4wczGAQ/fDMb++q4I7b01841YZIjTtqN3pEQMTJmL07Ne+U9Twib37dVriw7TStWl+aV28gDaNrS+3y1TRqwF98nL9umfy7aJI6bWuXry7dG7ZTwRghmaiN2WsXqSALnMQoGVnc416FBJFyBYrLbYOuksplKsmUFbNlwpIZKszifq1Qoqxc3vVszXv9Y9a/eh8i4U19LgmpkVwgYxdNVecw5fbtUsg7dmLoF+N/VUG0fqVackbLHrr8cIRf+ObtKqIzb76/7U11NHtiCCbq9/Wf3xVLlNXohD5NOkmJIif2kUzHQ9+/IsPmePKR+jbtLG9f+USqDa6CwSHriZ/fVPfvkM5ny8aFqzK07Ydjv24YmQ3rJyLlSy+9pAOPU4kWLVr4REV/EFXpODx9uidiJDkQKHv06KGDVErnDcMwjJOXcB0vs+rYgROWE5nff/99EicqFQlDhgxJVQh94oknVBTevn17ljRgNIxTHXOi5lIQaG7qe6m8OuwTFRljD+yRS7sMUgcngleoIGLQuOrdkV/L7gN7tVQel+eEpTPUrXfGK9fKI4NulBv6XCLZASIgog5NhmgGhIDHd40/ekSFmZHzJ0jV0hXVBXiqEntgr5baI4ThPq1RtorGNqQHMibpIo9offBovBTIX0AaVvEIim5+4250515YDxHtG1auk2rDosxg6IxR8tSvb6kQ6WB9uaTTQOnbrIu6YWevWSif/veLLN28SvNSDx6JV8ck2bDEHCDo4bxE/E3NrUlm6Z64vVqujtuVXE661vdo1EHduUQJzFy9UKatmquCNpeBrXpJicjiMm7JNFm7Z4s88uPrUrtiNbn9tCtkUOs+8u3EP2TCspmaEfz+6O9UwL2w4+kqpOIsJrbjln5DknWWB4OTISwvHGONK59whSXHxKUzVUDFPdunaScVUBFKL/rfHXpypVWNxvLdbW9oQ63X//5UHbQO9jeI0IjHxIN8N/lPGTpzlFzWeZD0a9ZF34sTHp9c/4J8O+kPefC7V2Tk/Ily1ivXy9c3vybRpdLmJMVpjIDKZzaMrqUiqmGc7CD0k0XGQIqSwnDHoeRUhg8fro0yiAjwh2MQA1xKFQ3DMAwjtx4viQegwWCggLpo0SJ104Yze9UwjPBgImouhjJgHKiUuCN4Ui7bpmaTkF+PyDJl+Rx1dw5s1VtmrVmgeZbHExLkoUE3yev/fKbCzhO/vCXTVy2Qj657Nt3d3EPFiXP+LkZtylOqgjoFEQvL5S+j4iouVUrX12zbKEtjlkv7vTslunQFOZXAhUnZN/ONxlH1KtWQQhEF0/w+lA8u3rRSL9ym23ylqLIyoHk32XEgVn6ZPkI27drqez4u1xbVG2p5d3b8OMF1+uhPb+g6D3nz5JEzWvaUa3qc7+skjyD88p8fadYvovD++AOa61uuWCnp0bCDNnZqWaNRmhyzrHeIfscSjsuKLWvUAYybtFeTjhpbcF57T5YScRiItqMXTlYxtF3tZvLFjS/J2z99Igv3rpWVW9fJrZ8/qZ3vidbo3bST3ocAyTKgpP+iTmfKzFXz1W1OOfyt/YaE7DCfv36ZXtcqVzWRi5X1hGZfTBsicNUyFbUhGIIp9GvaRTNiPx/3izz+05ua99q+dnP5+pZXtbnc7Z8/pdsc+wjK/c9p20/OatVbG8qRU0qu61+zx+j0fzjme81XvWPAlb5Igos7DZRGlevKkHfvkSWbVskZL10jv971rtQoVyXkZTBv3VK9Rhy2LFTjVIKB1Kk2mCIrzZXt+8N+m6xUwzAMw8jNx8sXXngh6P2NGjXSainDMHIeNgLNpSB0Ldm0Up2Cg1r3lTGLJmvHcUQbSmlTAwFj/vqlKqpQjty6ZhO5uNOZ2rQK0em/JdPk/auelmeHviPLtqyRv+f+J/1fuFp+v+f9dGc0OhC3tuzeLjv379YSaxyw8UfitQEPog3ZlIhVuGSJFKApES5HsjgbRdfRMnIEVMqF61SoJlOXz9XGWLgCtRQ7DI1rcgPk2LrMyzJRlNJXS5egiZN12sq5uhyA+dw4uq78vvFP+X3WaM38BFyuCGCtajbOFtepm9Ynf3lLxUZA7EXMffOKR9Ut62DbQEBl3d28O0YKRRSS8sXLyrlt+8nlXc9Jt1MXaI6F4xLhj5MXlLojQnao00LF/jNb9ZLfZozUqIluDdvpdCBc3v7FM3JF3dPkiT73yBcTf5MfJg+TUQsmybz1S+WNIQ+rYxWx9e0RX2kOKc2mejXu6DtZQLk9InFqy3jn/ljZsW+XPq9BZU92KfCej/zwmubGBoLwTtk/4idRDet2bNL7cem+cskD8sY/n8sX437VaeF92Wfw3Ff++li+m/yX3HPGNdK5XiuNN0AYpnEd04uoSsby4+fe5nPSNqtWX4bd/7G6XImgOO/1W+TXu99T13BqsL8iYsDzPtkXM2IYhmEYhmEYhmGcelgmai7NREU8Q0SjlLZx1Xpagk1jHUQlGk8l5+xicdOBG0cn0DQKUcw5THn83VHfyL8LJ2u38UfOuVn+988X8tecsfo4Jc8jH/xcnWdpFb8Wblyhn7tz3+50f++SRYqpiMX0RhUqomXC0SXKybvffyoValXW/M5qZaOlba3UG+nkZihfX7Ntgy+HkuWdngzSpZtXq5iOKI/LsWUNBNLiMmbBFPlj3HCpU6eOROSP0DzM9nWaqds1u5i0bJa6N13pPt/5wo5nyM19LknkSKRU/N1RX+s2gpMaMb5TvdZy/8DrpErptHdODgYiLU5OXJurtnniDdrXaa7xAK48HrGSkwFtazWTqz94QDNYa5WsLCMe/UKKRhbRkvhHfnjVG6NRSl697CFpXq2B5q1+P/kvdf9Cs6r1Ze+h/XL02DE5rVlXda6mxIxV8/W7sx0g7AIi7/lv3qbzA8G0W4O2enJi2ebVsmDDcjl67Gii9+A5D551g4qot37+lAqmOE0RT6/odq7UrlBNnbPMa06GwNU9Bsv1vS7yrYesWy/+/oHsObhPs3KfHHx7Ipc0LupzXrtJndQ4m/++/5NUm9fR6IwIE+b7MxfcJXkSJMP7U8tENQzDMAzDMAzDMELBRNRcKKIiPizfslZvN6xcW92aLMYvJ/ymLjL+RjAKdIzyHAQWBBFoXr2hlh0HgoiDwwz3HBmJr1zyoLw36ht5b/S3+niDSrVk+IOfhVRaTKYjn4ng4nAZiTQfwtGImEO3c23wk9/znoeOHNLcQ8RX3H4xe3bKtr07fR3giSDgfXAftq/ZTOZNmy31WzeWeRuW6XMQpbrUb5Puxko5Gebpuu0epyDOR8SytMIynr5qvu99cJ/iRkZ8+2/xNBXbyKEb1GOAdGnQJlVxKzPB/fjSnx+qS9rFFrSr3VTObXua5vk60Y7HOJGAA5Lvwb2lo0rJPWdcneh54YB1cvHGlXoSg1gNXODc7t+iu+atsg7+MPVvjdpAIGQ7G/TqjerCPq/tafLWlY/L+p1bZPHGFfLpfz9rzifbK45UhGzXGIrvTIMpTl6wTPgO1/e6MFm3Nbm4v88cpYJrr8YdNOOYaUOs5LM71Wslb17+qK43gFhLhAcnJEpFldCGW0RCdKrbSkXf6z9+RGJid8j++DipWrqSPHL2TequdRyIPygfjP7O5wy+oMPpcvfpV/vmNQ7ah394VfNSWb8QZv2XAyeCTn/xGnU792jUXr6++dUUT36MXjBZ/pz9r4r6iLbh2J+aiGoYhmEYhmEYhmGEgomouUxERVAiZxCRpHLpiolKYMlnpHSYcl66cVOe78+s1Qu1fBYRg5zDlMQ3PueRH19T8RMR6NkL7pbnhr4n73uFVJoJ/fPAp8mKlLgkceJt2uUpBeczyc9sVLm2OgjTEwnANCE2kRmJSLbHK7IiWpWJj5RbL75WYg/tU8ciz6WLeLcG7ULOkcwNkGPrBGkyONPjrET4Yh4RpcByoRyezvA0jSJfFspGlZI8MQfl4nMuyJBjOqNs37tLrnjvPm3k5JzTiP/ntOmnIqG/gEqO5/dThuk6XiiigNQuX11eu+whdU2GG3dCAtGSRlAz1yxUhzVOVBypwHZICTyCNSLu2m0bZch792ie6AsX3avNmhA2WYYvacn/XHVqfnjtM9Ig2lOGz308xufVKFtZG6gheCJG+medOlg3cJ3ivh3Qorsu6z7PDtETJ0QFfHvrG1KkYGFf8ykEZ8rzr+t5YaLGVbzu0rfvUsEecZgTHjScYz8QTIz+aeo/KnTDw4NukkFt+vgew5H6xM9v6jaJ8Hl6ix6JXosT+qyXr9eGXwiw9555bbLz/eOxP8qC9cvkrNa9pWejDiaiGoZhGIZhGIZhGFlGzm5XZyQBkQsBFTceXen9QZi8pPNZKnIgvpCB6OA24hIgpqTmXkQcvfeMa1WwQbD8ZOyP8sR5t2kmo3u/gS9frwKRP/sPHdDO3D9PG64CKq4yMhCv7H6eDG7fXx106c1UZZpw5NHR/NqeF0jfJp3VdYvLbcrG+fL1xKE6b3C0IUZRbv3f4qkq3qQE4jOCEqXCOOcQ7lJ7TXbA93EZqDgJ0yOg4qActWCiCqiIyz0attf7ESBZt8g9pdT7og5nSIlC2ec+dYLg6S9dowIqy7NT3ZZ6cuDyrmdL7yYdE4l5iKe4UFnHEdXb1WouX9z0UqYIqMBn46B285QGVYDIj3gKuKxb1/S4SscsmqKZoefU8wiIT/36tpaxg5byX/qgbpc4rO/5+gXZ4Y284PtSIg8IoQkJx2XfoQPy64yRQadrzXaPCF6zfFW9fvrXt/V1RD58cePLPgEVcK1D3Qo1Egmo8OpfH6uAyvaFgEpcAmX8ybl52bZpfAW42P2d57hwyaGFL8f/Jut2bE70Wlylr1z6oN5+/e/PVJwOBkKyc05XL5N297VhGIZhGIZhGIZhZAQTUXMRuC5pGIOQUat88AxMXKOIYPDjlGEqyiDs4N4C8k9dbmNqIO7cefpV+jk0wCEnlRzCK7udq4/PXbdYhrx7r4obgHDy+bhfZcWWtepu47MoPe7btEvYGxHhtOtc35Nz2bpGY53G5VvXalnx/HVLpVvDtiq8kTc5YekMX+Zj/JHDOi9+nT5CS6Uf+/ENeeC7l+XZoe9q1iIC0DO/vSP3fvOCPP7TG/Lhv99r7iPiTXaatuMOH5IVW9foNNAUKT0l/Ih9lOofOhwvJSKLSa9GHdTV+/vM0Tpf6Do/pOs50rZ2s3Q1qAonrEuUoCNsEyXQs1F7qVW+mlzT83wVFv0ZOmOUfDPxd1kZs04FVPJw377ycRUAM5PSRUvqNaJpqSLFfdsV+cSO9nVaaCQGrmnmda/qbdUFTmn+2yO+lIj8+fWkAoI27tTqZaM1tuL+b1/ynaAgl/TMlj11HachG83XcJuSyxp4MsDlDeNSxm2MOA5vDHlEG7H5r080aIMWNRomeh9iBP6cPUY/D+EXAbVNzSZ6AiMlLu18lnSs21Kn7/Gf30x0goUsV4RmnLsfjP42ybZ0brvT5Lx2p2l0wU2fPq4nYwJhW8a5S+4zLnzDMAzDMAzDMAzDyEpMRM0G0iPG8Zq13o7ZFYqXSbHBD+WyiJZkiv449W+ZsWqB3l8/upY2eEkLNLq5sMMZevujMT+omPj8RfeqqAMIq3TfpnSfjuQIOeSdDukySMttg5UchxPyKAe26i0tytfT/Ec+n6zPYbPHSquajdS9isuUacMFRz4jJcHjlkzXJlc0vQEE1xKRUVK8cJQvl5X5h+N22Jyx8trfn6p78J+542TfwaQCT2aCGLV00yp12SIe1yrncRmm1cWKOIZYWjqqpAqlf835z+f6a1OrqeZZhlvsTg+I/ue+frOKiaWKltCO75VKlpdb+l2mMRL+jJg3XoXC1THrdblRWv+/Kx7L9PUOWF9w7uJaxh3apGo9FZ9xMjs3Kusf8xZYL+HVSx5U4RRR1blBgW361UsfkiIFI7XE/btJnpxRuKzLIM3/PYYTNW6/7g8Qv11GMLiGW8yzAvny63YJQ7qcnSjHFBZpM6ljnsZsJcv77mf74UQCXNJpoM/53K9Zl1TnB9/98XNvU9GYbYttxYEge0Pvi3UZUd4/deXcJK9//sJ71V2NG5xYkmDrBSD2n4xZx4ZhiLzzzjtSvXp1KVSokLRr106mT5/ue2zZsmXSqVMnqVy5sjzzzDPZOp2GYRiGkVnYsdAwcjYmomYhCFi4wyZsmJtI/AgFRBm6Y1MeX8UvBzUYCAyD2w9Q8Q2XHo2oEB7o8p0ecIjhIkMseuOfz/X6w2uf1UYx8Ml/P8nn/3kcbzyPLFYEzayCUuRyRUqqA5HcRlx9W2K3y5+zxmqe4+iFk+WrCUNV8MUJh1DYuV5ruajjmXLngCvVAfjixffJk4PvkKfOv0NvP3fhPXJH/yvk3Lb9tNyY96QEfvi88Zrv+PO0f7JMTKXMHnGLaahXqWaaXaKsOy7WAAGV9YDp37Rrq74n+ZIIlSk19MkqECAv/N8dmv1askgx6Vq/jWbp4ojGXRmY8fvhmB+0KRGQ60qH+5ROMIQTlkOJSFfSv1dL5Wm+BIiIDtYfxH7cqJv2bdPvMbhdf32MplKskw4eu2PAFXr7/dHfqaAIuEFZVxEh98cflNi4vbqOz157QoRleULlUuXlm0l/qEiL4/iBs25IMu0ImTpt1eoncrTj6EW8pvyf6UYcRpRtXi2xWzU5yCG+qvtgvf3eqG91vXUQCzCwdW+9zQkN/+/ttuOXLr5fb3805kcVkv1Z5z2JhFvXMIyTjx9++EHuuusuefzxx2X27NnSrFkz6devn2zb5jlBdMstt8ill14qv//+u14mT56c3ZNsGIZhGGHFjoWGkfMxETULQayYv2Gp7InfL8u2eESMUMB15sSUiiXLqTCYGg2ia6mrkjL2hRtXSNtazdLdnZzXkXfI+yFkILRw31c3vaKuM6bv77n/qYDaq3FHFXyymjKRJVRgKlestOZ80lho3JJp8ubwL1QIogQYgeeyzmfJo+fcohmONACiBDswo5XvhiBGA6yuDdpqM5xnzr9Lszhdc58JS2fK07+9reXxaRXE0yqAIigCLuK0OvAQeicsmaECapmoUlK/Ui35ado/KughUl7aeVCqZdpZBdETl71ztzoOcWN2qd9Gnae3978iiUOWvE7cwXwPviPO0yfPuz1dObEZoUQRT27s3jiPo9nNS7ZXSuaBZeayUVfHbpJjx47Jac27qquYuILvJ/+V6D3PatVbTwhQFu/vyGTb54RGvrx5Zee+WBUh/57zn27j3I7Zs1OfF1W4qLz4h6fJ0z1nXqPrfWCsw9bY7SoC+zvTPY2mftPbt552uYxfOkNv4yhPi3B/fvsBKsIixpKN7M+g1r11vWOdHrMw6Y8+8owR9SnrJ9LA37Xvy0MNMY7EMIzcxWuvvSbXXnutXHnlldKwYUN5//33JTIyUj799FN9fPfu3dKqVStp2rSpVKpUSWJjPY5/wzAMwzhZsGOhYeR8TETNQhBTWlb3iCnTVs4LWXxDSCNDkdLh6JLlQnoNTjiayyBoIkSkRbQNBrmUN/e7VG//NWes5opyTZd0REdEHNdFPDtAJMWhxucj/tC0BxEKogpFyjlt+2mW5sZdMSrWpWvZ1Wisgt7NfS/Vxk44i4kJeHP4575GQOEEcYwydcBJzDJIC3xPhGSuEdKql4uWX6cP13WJMu6LOg1MIrBlJ4hmc9ct0XndrUEb6VSvldzY5+JEzZCA7/PSHx9qbibCHw5GHMNk5GY1CKGwPz5Ot2fmJ1nC3F7l11wJVydO373xB2Tdzs0q+J/fYYA+hrvbZfYC2xPuUZ5PTAaOWwcCY3SpChKRP0KFUPYNzDNu4zxnXnw85gd1TSPouoZO/izb7HHJ4pr1n7ef/veTzttm1RpI+9rNfE5Q8mjTAu7ma3teqLfJKPZ3nHLC4uw2ffU2uavB9oFPDb5Dnbtz1i72RQIwf9yJJJzJhmGcXBw+fFhmzZolvXt73OrAyRv+njJliv791FNP6d8MJnkMZ45hGIZhnCzYsdAwcgcmomYxZIxG5M0vuw7s0UZIobDFm3VYoUS5kFyeNF+Zt26pCiT9m3dTUeqPWf8mavSSHijfx+WJ8PHwD6/J5l0xWn58S9/L9PH565ZoCXJ2Qa4pXdAnLp2p86BP485yXc8L1X2J8w3HIiLR9JXz0v0ZCFyIU/eccY067hCM1m7fpDmSCzcs9z0vHGIyXcxxkCI8uTLxUGEZER2x/1Ccujpx7/056199P5YZ+aeB4mR28v6ob+WHKcMEr3Snuq20wRVZnsHW94/H/KhO1D1x+1VMJNPztv6eEvishmXD9sX8xvEMZJfC+p2bEz2vTgXP/a4E/5w2fbVUnjL8EfMnJHpfHLVObHxrxJe+9Yn5cWW3cyRvnjyy7+B+FfJxQ8fEetzK5Jx+MvYnnxgZzLXuTqjUq1QjUZ4qGatwU59LdP/BZzIdxCSkFZy2lO8TzzBq/sREj/Vs3FHXPT5zxmpPTqw/CPzX9bxAb7/wxwe63+IkBQ5wtjfe1zCMk4sdO3aoS798+RMZzcDfW7d6okoGDBgg27dvl82bN8tvv/0m+fJlfwSNYRiGYYQLOxYaRu7ARNQsBhGgRgmPIDZt5dxUxTbcdgiCiHc0lAoFOncjPCB+0JAmqlARFTNcY5uMMKTr2epkRNhds32jlsU/NOhGqVexhvBNXvzjA18DmKxk/+E4+d+IL7SkGQdfhzotZEjXQTp9TavW0+dQXoxzjyzJjE4jywOn5AMDb9Dy5MUbV8jNnz4uZ7x0rZz3+i3aGOnK9+6XB757WRtZ0cApMAMyJVjmuAuhVvmqac5BnbtusS5zRLS6Faurow+BjfJtXJushzmFEfMmyDO/vaO3W9VsIs9ccJdmtAaLn0AgRyhHDGbbQEwkKzQyIJIhKylW2FvSf3C/XlcqVV7XQUR7SucdjSvX1eslG1fqsihZxBMvAU749IcYCcRXmpuNX3IiUL5F9UYq5OPWREzGoclzjickqAsVsbFv0846D4M1GMO9G1jKjwuV1xEjQCyHE3pb1fA459MK6x1CPXw1cWii/RzLql9TT6OqoTM8wm0gN/a5RJ3XOOp/nT5S12UgriO9sSSGYeR+ChYsKGXLpv3EjmEYhmGcLNix0DCyFxNRswFEVBxliBmIICnhOm7jvgpF+FqzbYO+LyJOm5pN1J3Zu0knfWzk/IkZdqPitqyF0y6PyPZ9u/T9NR/15lclf9586vS86v0HMvw5aQFR9O9Vk2Xb3l1SplhJua7XBdpgitJ9pq1v0y6arYljEPcsYhelwukp63cgCk1dMVczK3Ht4SxGMFu/Y5Ps2OcRfPYc3KciELmVz//+vlz1/v2aJ4v4l9p700wKyhUvneYyfnI2l2/xuJxrV6guIxdMVNGxWtloOaNlj2zJrA0G7k3cj/d9+6IKeLgev775VRWNg0H+6UdjftDbbr1D9CO3NjspVrhIIhEVAZH8Uli/w1OCDny/yIhCciD+oG735Alf3u1c3VYnL5+tQrw/bPO4neHbyX/67ud7X9jxDE88wMH9cjD+kMxYvUDGLZ6m1wiv5MMGw508II7CZQEjwv41e6zevr73Rbr+zVmzWP9uUT20hlLBIEKDz1i5dZ2eRPBnQIseur/AFeuyTpPEh/T1xIe8M/JrXy4wUQmGYZx8lClTRt00MTGeRoEO/q5QoUK2TZdhGIZhZBV2LDSM3IGJqNlAgXwR0qBSLb09e82J7tqB4Fx0WZuVQshCRShD0IPGVeposx3oWLelulHJSZyxakG6pxsBBrGH7NEmVeqq2PLjlL/1MUrE7z/rer29ZNNK+d8/X0hWgLjy7qivJe7IIXXe3tn/Smldq6k+xvc9cChORad+zbroNCLOMH24BOeuXZKuz0QUwmH60p8fqgiEaNa/WTe5pNNAaV2zqcYHXNblbHn10gfVJcljuA4Rz36ZPkJu+OQxGbtoarIuZERYhFZEsrTmP/J9cSJD5VIVtaT/0OF4zVQd1LpPjhFQmc73Rn+rDkyWIfPwu1vfkBJFiiX7GgRUSuYRFxGr4Y4BV2a7M7GYV+RmnXLLtKq3wRWCtoPpjC5aVg4fO6Il/JEFI3W7JnIDvpwwNMl7I6KyHrCfWLr5RK5xs6r1pV7FmrpdExuwdNMqzSiGpwffoU3RguEiBvzXK9yrnPRgP0F266qY9XoCAKGaBnXpni+Fi8qZLXvq7a8m/p7oMbJjcR0DzuJgkOeK23bp5lW6HjsnqmEYJx8FChTQRhn//vtvohNt/N2hQ4dsnTbDMAzDyArsWGgYuQMTUbMxGxVWxqzzOdgCoYQVUaZooSJ6SQ3EBtyViBcILA4cmD0be3a8oxZMTFc3eUSvv+d4mry0qNFI7hxwld4my3HTLs/ZMrJRERCRkd4e+ZVs3+vpFp5ZUJr87sivVZwsXbi43NLnUhXhKBemEz3gRgWEKJrylIoqoYLmvHVLZPW2DVreHyosi1+nj5D7v3tJVmxdqyIT3dI/uPYZefjsm+T+s26QizsNVMfwf4unyqbd27TD/LW9LpCPrn1WHhh4vYpXxCGQc0mO6kFvB3cHy8a5FxE+WXZpmb6pK+eqmI5YvGLrGjkQH6duVvI10/JemQnC4st/fawl6Au8zYvuH3i91PZmhgYD1y8CPg3EiheO0nWsS/3WiUrSswvWN5q+IUQyvwFxlPv4238dKx1ZXJfTVq9wDJd6S/r/mDlal50/LLvejTvq7e8n/5VIkB3QopuuazjPEfP5fBXzve8XCOvWBu+6Va2MJ1KExmX/zBuvt2/ofZFeu1L+ZtXqZ1h0v6jTmbrMpq6Yo+KsP65h1YSlM+TI0SOaVXzfNy/KRf+7Q+766lmZuGymXNThDH0ObmowJ6phnLzcdddd8tFHH8kXX3whS5YskRtvvFEOHDigHYoNwzAM41TAjoWGkfMxETWbQAygvBdhY77XPRqIK2EtXzx19xVCouu63bRa/SQZmjTriSxQWJ2t8zcsS9O0IvoMnzdeBSFcgGQtNqlaT/MSjycclx+nDvMJOx9f95zkkTw6Pfd/+7JkqpNx1DcSG7dP3Wl9arRT15qjcilPIPfO/bu1+Q4gep7VqreKzAhOCEgpOYEDXcEIf19P/F3nR+d6reXtK59Q0RRR1tG7SUc5rVlXvf3ztH98Jdosj7a1m6k7FdEsv7fz+sM/vOrLe3TLHCEccSwU97E/CLu8F+/N/GFZ01TqnDaesuqcAELZm/987o0+2CwHj8Rr06trvY2EgoEr98N/PQ3L+jTpJJOWe1yJNJ/KCbDe4wgFGnkB4mOF4p6sohhvti0UyBuh6ylZrs6l2rleK12HiYRAfA8mRMLI+RMk9sBe3/3t67SQogUjNVaD9ZP18M0rHk3WmevWLbYDmjfBB/9+r+tzj0btpUF0bb1vkbdBmjvRkxGIDXDZrGw7/hAVgCC+68BeuemzJ+Tmz56QsYun6omlCUtnyhM//092x+3V74MAuzdun5T1nhwxDOPk44ILLpBXXnlFHnvsMWnevLnMnTtXhg8fnqTBhmEYhmGcrNix0DByPiaiZiPNvXmDOPICS7spDcaxiPgWSjdqxDqEQcRZhItAEOU612+lt8cmUz6bHEwfrk3cnGe07Olz0F3U0eMSm7hsluYqAm7Cs9v28bleyR4NN0ePHZUPx3yvjaJKREbJ9b0ulEL5E+fFEmWAWMp8dWI0MH/6NO0s5YqXkTXbN8iqresSlVwHAxH2+aHvqZsOgfKG3hdrmT4lycFARG1Xu5l+9ufjfvU1iAKWJ1mRT59/l0772u2bVEhlGhHUN+32OGdZhszvUEFonO91dSLg0fSLzxrYupdEeTM7sxPmBfmn30z6w5d/Sr4uPHrOzSnm/X723y8qljNPWMcRDCk7D4fIFy6KeEVU4gYc5Ut4hEpcp47Dx49IdEmPw5hYCLe8zm7j2WZ+njY8yXuT50sjKb63f+k722H80cN6P27P9rWbJ3E2+7POu54z71k3iAfg/RApr+/lcaEyf12erhNVMwrN7YDmZv4N3fjeHeu20JMZ5LmybQ1uP0Bev+xhbarF+k+WqhN82QeVMSeqYZzU3HLLLbJu3TqJj4+XadOmSbt2SRvkGYZhGMbJjB0LDSNnYyJqNlK7fFV1hVHOHyjkIRBC6aIlUi2pxfWJaAaIS8nRtX5bFSoQ7mhAFao4R34ndKrXMlE5bc3yVX1iIa5LBwIhIhHizuM/vSHhZujMUfodcNbSxdvfCeoPGangBEp/Uapp1XpSqmgJmbd+qcxduzjZfFIE25f/+kjmrlsiBfMXkEfOuVk7n6eUw8ljZFkiKCNyfT7ulyRl2vUq1ZAXL75fKpUsr47RR354XcVqBFsExbRmP85avVA7vsOqGI8416Nh+6CCelaDMPftpD98AiAiM02icEXS/GxA8+7JvhahD3ci8/SGPherEAfnt+8vOQmaRPk7UcGJfzv3xfoarcUf9YioEfki1HHp1svz2vX3NX8LFu/h3M3EZzgQoXFsAk5Y1pvABk7+rPPmyJINDB+M9rh7+zXt4mvmRZMn1lncsoit4YAmb13rt9F58KZfVjLfffbaxbousJ29ePF9ct+Z10rn+q31RMWH1z6j+8fDXic5InBOiaQwDMMwDMMwDMMwTj1MRM1GEEfrVfJklyKgORD0dnobSoUiptFUBkEC0SalzEAcia7p0tjF00KaxjGLpqrYhSDZpqbntf4M9oo/uFE3797mE36v6j5Yb+NETUnYSSuU3zvh6NIuZ/mE0mDg4EV0QcAMzD7t3aST1ChbWQ4fPSyz1izyCUz+sBzeHfWNfiYCKo5JlsfjP78pQ969R7Mb6RweLFeVZUtjHNywW2K3B3UYsqyeGnyHRJeqoLEDL/7xgYqoiGyBcQwpQad3PgOHJ9fHExJUKM5IZ/VwwbynedT0VfPVLelpvtVEvvY2Ubr7jGuSFaSZ/5/997NPECaiAFcngmU3b4l4ToGyesAJ6gRTlj0xCvztIhvijx2WMsVK6nfguc4ljdCI25RtbcS8E0KpgxgDtz2RgQoPff+KxmmwnpP1SwbxgvXBozrYP2zxbp+IqDyPzFHcntf4RSks2+KJBKlboXpYG3bddtrl+ll8JmI6J1heGfaJNkGjCyknZAJznzkh9OBZN+i2xJQwb0bN92SjGoZhGIZhGIZhGEZWYyJqNoPYBcu3rPFld+LMQmSgXJcGQSkRd/iQlrn6v1dKdG/QVq8RUfzzFYOBK23Z5tWe7vZNuwQV9hA/cBN6yrVH+e6/vf/l6rbjezz5y1vJOj3TAvPlx6l/6+3ejTul+n2Zbsr2IbDJFQ43uqIjQCGgjl8yI0nDrd9mjJT/Fk9T8e+eM66RySvmSIfHBquDD8cgDsmnf31bWj94lvwx60QXRQci2pCuZ+t0TFs5N5FQ7iAS4InzbpMiBQurAPrL9BFpcqEi0M1Z43HSxh7Yo46+0lElNbIgu7vWsz6TW8v3Zl2+puf5mgv7/uhvNQsVkbebd30MBg2HXAMvsmf/nDVG72dd5L6cBC5QBHuWA87wQDdqzJ6dui0gdLM+1ShXWe93MRgsK6Iy4O85/yV5f04WNKvWQN+fbFRcqAjTOMt7NeogRQsWlm17d6nI7J+x60Ck5/OZTk5yfDTmB71/QPNuviZTrjkduJM74aJa2Whtwgb3f/uSnPXK9fKTd1se2KqnbisIqoEMaNFdWtVo5HPjfzf5z7BOl2EYhmEYhmEYhmGEiomo2QzNg0oWLa4CB0IqUN4NiGGpCWG8BiGNbvR08k6NiiXLSe3y1dTBRrfz5OA9//WWXzev1jDF9x7kzXOk7J+GQUCJ/aVdBuptsjpnr1koGQHxiO7kuPcoM6YzeSiU8zpzydQMLKmvUa6KNojCIUfDI5cZ6aaZ/E64rtcFKlQ/8sNr+vk4KV++5AF55oK7pEmVuioIXv/xI1q2Hwjd411jnR8mD0sksDkQtS7seIYKjWRG/jVnbMjzhfxKGn7RgIf3RuhGGHO5tdkF6zNCHfMNwfOmPpeo6M00fjn+N33OnQOuSnb9Rgz+ztuN/ty2/aRg/ggZu9izPjqxMacRrKS/gjcXFccpGceAq5lmWs5F7DijhSfWAHEe120gpzXrotejF072NWlqWaORNKlaX8VR1m/cmsHEegR6J+ou3rRSm5qx3l/Z/bxEz3PN6dIronJShwgGMp0DuaXfZXJ2m756G6GXfcSzF9wll3U+W++bsWpB0JMt7Wo3lwLezON/F07x7R8NwzAMwzAMwzAMIysxETWbQURyjkrXYGqXtzwccS01oYqmLNAgulbIn9mpnqfBFCIqYlUwFmxYrpECZCO6hlTJQQOaehVrqstu2OwTAuBdA66SfHnzqrjz2t+fSUbApYb4g/OO7vahNl2inJoYA+ZrMPGlV5NOKmTTEGj4vHE+x+vrwz7T1/Rs1EHFnru/fk4fQwz8894PtVnONT3Ol+EPfqZuU577wHcva5k6QpI/ZH7iLt1zcJ/8GcSxiuBUIrKYDGjRQ92M30z8XV3AoTg9l2xaKYcOx8uOvbt8zYVSijjIChDgKcPHRYpgyDzDsQy/TR+h87pmuSrSu3HHZN/jv8XTVXike/vpLXvIpOWz5NCRw1qKHorjOjtw5ejkCDvKel3FnFxwWadsUy6rFhHVOaDZjhBXEUKJ0QjEuXYXblwuv3jjIdrUaqriLfMENzOl/gs2JC3p3xrriQ2oULyMfDL2R73dr1mXRLmnu/bv0Sxm9klEC6QF1sWPx/6oEQO4j18Z9nGS7Q0x/aFBN8pnN7yojdl+vvNt6du0i0YZsJ7glg2W1cz8qFexhm77nPz5Z25Sp65hGIZhGIZhGIZhZDYmouYAEEAQLijtpbQ81FJ+BAcESkRChMBQoakS5bOIWfODZCjy+VO8LtUOdVqEVDrtuouPXDDRF0uAgNTf2zSI93NO27SCe5FmUnBa825pFgldebxr1uVPZIFCMrBVL3Vw0pyJeYqDEsETwe7q7oNVHGU+n96iuzxy9s2J3JMLN6yQg/GHfJmY9337kvR6+lK5+6vnfN8XYfSijmfo7akr5yZyvMKW2G0+p2HbWk1VjH5z+Oe+bM3kWLJ5lc5r3J6IxcyX9nWaS3aCIPjVhKG+Ev5re12gpdyA0PzF+F/1NsJzcrmvCPs/TfOUep/dtq+uf8QtAK7e7I4pSIsTFWGTZcN3d0Im6xzrJO5Rlp9bL/lerGMwLIgbme0JcTPu0EHddhFia5WvpvO5S/22UqRQpAqXq2M2JHE8u+zVo8ePa6YwgvtV3RK7UN36WrV0JZ3GUGHbYJshIoTvyfpOVMjbI74KGhmCaEo8A/sgYD40q+ZpiDd77aIkz0d8xjVeokgx/furCR4XrmEYhmEYhmEYhmFkJSai5gAQE1zHbIQ8oHN8SmIRYoUTPRBW0iIskS/YrnYzvT191bwkj89Zs0iFIERcJ26kBiXulArzOtf4CW4/7XK9xp3puoGnFQQl3hcXXY90NBRysQiUSAe6RKFVjcbqjEQ8fmv4l+rQRWS6rd8Q+WfeOBUE6X7+8iUP+oQ/5j/5rJTxI4wWL1JMxT6ccuRSjl86Qy5/915tqsRz/bNjcRG6smUEQ9eYqmKJcnJT30tVjFu7fZOvE30wiBVYsWWtR4DNwzLNpxmvoTp0M4vfZ43W5kc4kK/qfp7GGTjmrF2kDmdch+e3Pz3Z9xi3ZLq33LuY5p8yj3CiQkoZqjnFicqy8Xd4O0f5tr1eEbVgYV2P/N2oDieijlowSR2YgXSs21LiDnsE0tNb9JC8efJI8chi0qZWExVTeQ3N0pZ5s02BaXE5qQvWL/W9jxO3Hau3eVzttbyu4VAh29S5jtneOdGASIz7lpMqoUATKVi0cWWSx9j2Wb852RFqnrNhGIZhGIZhGIZhhBsTUXMIrkSZLE4ENnJSU4KMQ8QFXF90mU8r5AwC+YX+ggSusmleYZWy/1BFOUQhyoOBclsnEjapWk+dr04MDdbJPiU27YrxZbcObj/A12AmLSAuIcgBEQXBpn1wu/5y7PhxzYHFHXhO235SuXRFefGPD/U5N/e9VJtAOb6c8Ju8/OdH6halydXQu9/TMn/EV0Q0lieOUpoo/W/4Fzo/zmzVS113uI1nrJqv74NzEPcmwhqOYoTrSzsP0sfIBKXEOhgst/gj8bJh51YVeDvUaalNsrITcjZpxAV8h4YBZfffTPRkzA5s3TvRvPTH06BstN4+s6Vnfs32ivrEKuTUUn63njnXtr8b1W3LNH5y7lRwIqprLuXyh3GVk3Pr3LeBLk5iDaBVzSae9y9STE9gVCpZXgoXKKjrzEpvzIdbx1hPmZcTl3lOcPRt2jnJe7sGdZxQCBWmnQZXgOuYkwWsw2w/MHft4lQd1eCWK42t/J/Pthh/1PN9b+xzic7jBDnhaDYMwzAMwzAMwzCMrMJE1ByCc+ztPrBXLyVSKeVfFbNOr8lQTI+wWLZYKW0whWjlRBAn4pKxifDToFLoOatAxiWi7prtG2WZX+n+zX0v02tKkF2WY6ggqDGNdHKvXaGapBecvZCcKFk/upYkJBxXEZlGUXQSJ78UwRNX3bW9LkzUNf6dkV/r7Rt6XyzPXXi3ZksiGF/Y0eOwRCy+94xr9TZNgGg6hbjUt4lHaP577jh1vrpSbhc5AH2adNLvihj7zaSkpcu4DVn+q2LWS7HCRVREa12zsWQnZLi6buv9m3XThkf+8F3/9mZZXtAheRcqblWcmZTA9/EKfbh6oUt9TxOwnAwl9bA//oSIWqoIjeOOyN6D+9QR7YRWRHrYvHub76QDgj6O4uRK+jd6BVfERHdCwJW508W+cEQhXfdWbfXsHwBnNOSRPBolwTbatX6bJO+9ZttGvaZ0PlT+mj1Gr1ne/q5jMkwR94kVWLZ5darvgxMfcdnFUzjYZ7jvi+jcpIrnhAxN5gzDMAzDMAzDMAwjKzERNYeAsIGbDGgslZJYREk6wgtkRFhsW7upXk9bOVdFHMp+aeCkj9VqmmxmZUrlzHS7h5HzJ/juP61ZVylSMFKdnjjIkmtmFciSTatk2ZbVWhqe0Y7sLh6Bpj/ByqRx68XG7dPbxQoV0WXw/RSPUHN5t3N87sGtsdvlkR9f1/mF0Hp1j8GJohQQTgtHFFSnKTENdKCH90Z/K7PXLJSuDdqoQE6p878LJ2tTKV6PqO3gb5pWAc7OwAxVYhz2HNgnMXt36jzv0ahDuoT0cIFQ9tm4X3T5NqvWwOdI9mf8kul6coDv2SGF3NahM0b7nJJunk9c5inlDyb85YZcVE5IxB85InHxhyR/nny+9YV5wTYWF38w0fMp03fbEOKzP8PmeIRoRObZaz3RHy47uUWNRlKoQCFdd3Gqs25BTOx2vV6/c7OvlN+JvQ7c6KyTTFv1gDL/5Fi5dZ06otk+3TQ7+F6c+IBZa5LmnAbC5zaMrq23F/uV9BPBAaznPOeKbufq35zcCMx9NQzDMAzDMAzDMIzMxETUHETZYiV9TWCcMy0YND/icUQY15wlPVA6TI4hAiKiBKIlwgtCkBM00krvJp18pd04KYEy4sHt++ttxF8yL1OD7+dcbl3qt8lwqTpONjevgrlRf572j04npdQ87+uJQzXbFeHm/PYDfM97bdinKnqR4Xj36VcneZ+KJcvJNT0v0NuU8l/c6Uw5q3Vv/T6P/viGCrg0x4K/Zo9V5ytl6ojo/pBzS+QCr/t24gk3KqIa4hVNpcjapPQ6rRmW4YTp+27ynyrAsYxooBUsn9eV6J/RomeyJwhws9J5nkiEAd6GZIjWm3Zt1de0ruUR/XMyrsGYE/8A56mbJccSjidaJ3GpBjY9I6+YHF9EZ9fgzQmduKCB+AfWA3DrNSXxriEUouwqb8bpTu/6vnDDcp/TORDc41CxRFkVaEOBky/QtlazoNtnK687mgxT1vPUaOATUVckaioFRF3AOW36Sv68+eR4QoJ8PWFoSNNpGIZhGIZhGIZhGOHARNQcAjmARQsV1QYqZGk6p2kw0YoybqAcPyMgGpKx6BpaORcqTaLS62ykjBchkrJchFQHYiIgrP46fUSq74PgQ1k3Im/fJknzGzNS0h+Yi0rTnTELp+jtK7udpyLgsDmepk6d67XSUn2YtGyWjF08VQW9hwbdmOw8wp2K0EPDKeIR7jr9an0PhLI3/v5M2tVqpgJ47IE9smDDsmQF4ks6D9RpmbF6gSzbvMYnoDNfEJco48aFmp2wziCS4UbEJRhMgGNdGD5vvN5GUE6OEV73ctvanvkDNKly65VzpuYGJypiub+LNCKfRyQPPDni3OecOHGwfvVv1lVvD505KpHQz3sinDO/yQvm2gnwiLJESrAMELVXbl2r9+NMRfiP2bNT1yecqIGwXqWllJ/pmL9+mc+1HoxqZaL1BAGZpm6flRINK3tEVE4QuPnkYhGIBoD8+fNLnYrVk8wbwzAMwzAMwzAMw8hsTETNIeAApdM2wgNiCGXswaBMF0EEAbRyaU9jmozg3GI43BATnRCTXhBpejRsr7fHLprqu58sQyf6UqKeXDYpIKA4QQ0XamDpcXpxzYzIWfSPFEDURbhuUqWunN2mjwp4a73OvAs7nKHXNH96/e/P9DZuy5TcnxVKlNUmUvDRmB/VHfjEebfp33/NGavLtku91lr+Pm/dUp/wFggZkN0bttPbv80YofOFxjsIqrhQW9donGyDpqxgT9w++cUriBPZ4MTmQMg0RfTF5Zic4Ia47hzKp/nFAdBUCgIzVnMqCOtOSCY6wp0g4eQIsJ75U664Jwt3254TTlQ4t91pev3ztOF6QoX19YN/v9f7rut1oRQrVFSOHj8quwK61HNShM+PjdurwiXRH8xbRFoEV7ZBSuMz2lRqyaaVKhQTTZGc8Mq+oEY5T9M7hP/U4LM5aYKL1jXbcpEE/tuIiw7AOR8smsMwDMMwDMMwDMMwMoPsC1I0ErHHW7aKG2vu2iVaqosYGVga7d9QKhxNdnD4RRYorOIcZcc9G3f0Nb5JL90atpNvJ/8pizauUPEGtx3fg4ZCzw59VzuPk/d4YUePQBlMoEFEQVDp2cgjyIYDvhcCE6IS+ac4QGnCQzYpMH0ItjS54TnM3871W/tEZiIPcMS5vNKUuLbn+fLbjJHy+8xR8vi5t2r5Pw2X/pk3Tl4d9qk8OPB6LVGmzHnaynk+sTSQs9v0VdGZ5l+4PldsWafTVrdidWmXQrZoZoOg+8OUYTotiKe9GyctEXe4+UujqORydolO4L1wMbvmQf5O1NwiojrBj++CAIgTE1GQMv98+fLJ4eOeiAuHayjmX84PHeq00Atu7reGfynt6jTTbQI3Nevp5OWzJWbvDl+jKQcl/YULFJTtO3aqU3Xzrhi9f3ecR2wlszYY7qQB+5VQcOI2OazB4hscrBs814miqQnQiK7krCLqsh06ITqqUNFErvZX/vpYBdSRCybZQcwwcigcJ3bu3ClbtmzRy7Zt22Tv3r2yf/9+2bdvn+/a//aBAwfk6NGjeuKSy+LFnmNAw4YN9fjhLpGRkVK0aFGJioryXfvf5rpMmTJSsWJFvZQvX16d7IZhGIaRlRw7dkyPfxwHN2/eLDt27Ah6/PO/Ly4uznccTO5YyLiiSJEiKR4HixUrJmXLltXjYKVKlaR06dJp7nliGEZS7BdlDmGvt6kRuYCLNqxQlx/OUOdUC2woFa4cTISL+pVqyozV89Xl2qJ6cJElLSBO4oijzJsS+HPa9tP7B7ToriLqoSOHNSMzORH130We0vqO9ZI2wMkodLJXEfXAXp3Ov+f8p+5AMmAbVq6TqCM4Ls8F65dL+SZl5OuJf+h9Z7ftG9I0tazRWJpWraclz3/O+leu7H6e3NLvMo0DmLduify3ZJq0qtFYZq9dpCIpTZOCHdRwo5I5Sf7kNxN/13nHdCGwZVTszgjTV81TkZzYgks6DUz2gMwgeox3efZKIXpg9MJJet2nSWefKOeyevk7OfEvJ0JGKdvurgN7VAhkW0a8Z3ntOLorUUm/2755Dtu3yzSFe864Rs59/WbN5/19lidT9qru5+l71SpXVSYum+krw3fUKFvZ24QprwqQnBwBpgeaV6ufZHr5XLb9UJ2oCP8se2hZPWVx27mT1wc0R0sOPh8Rle/FiQW3LbpMVKhUsrxuu6wfQ2eOlPMqe6IPDMPIWvbs2SMrVqyQ5cuXy+rVq3Vw6ARTdzly5IgO5pyQyYDOf5DHoM7/bwaEiJ0MDjmurF+/XiZNmiSDBw/WvxlMMiBlgBk48Ny9e7c+3/29fft2nQYGrBxHypUr5xNV3YCyatWqUrduXb1UqFAhxZNChmEYhuEPv+k51nAc5LJ27dpEx0COiwioHLtKlSqlxx1EzUCxs3r16omE0MKFC+ux0AmmCxYs0OPs6aef7jsWcsKRE4+BQiyft2rVKr3NiUsn4HLM5j051vkfB7muUaOG71hYsmTG+pAYxqmAiag5AHaELvuPMu1qZaPViboyZl0iETVcDaUCIRqA9yUmoHTR8Ow4O9VtpSIqjjknoiL81qlQXVZsXSvz1i/RrvPVylRK9Doca3x3mgt1bxDcnZkRyBFFiKbcGTEVRywM9Jbfw/x1S/W6VJESKl4WL1xU5q5brILhBe1PD/mzcJEiopLdiIjKsjy/wwD5Ytyv2lSKrFREQvIr565bkqzb8py2fWXy8lk6L2uVr6aiNw7A7ALB79fpI/U2TbJoppUclJQjoJHb2bmex9UbCI5J3zL3c+TiyHbrTTjX98yGplA0aqK5FBeEwEIFCqpASkOkuMMHpUCBAvpchNUSkcV0fdy+Z6du+45O9VrphRMR5JoWj4zydaeP9kZ5MH8p9Xf5vPywwo3KvgK3Ndsa+aWIqCyDYGI0Db3Y/nHN8hmpwWe6hmjJRTj4nwQA1nHmRWonIFw0gHPGBivnh/a1m2s0Bk7lc6NPxD8YhhFeEEGdUBp4iYmJUVcLg66aNWtKdHS03g4cnCGMZuTzEV/79esnERGJGzCGyuHDh3VaA0Ve/p46dap+F8RXBrBuEOl/qV+/vg5qDcMwjFMTxMply5YFPRYiTrrjH2Iox77mzZsnOg4iXBYsmH7zS69eveTvv//O0LGQk4+Bx0CuV65cKaNGjdLvguBKFUewYyGXjHwHwziZMBE1B4DIgpCKmKkus/JVVVRCrHBNYMLZUMofBBgcXTS+KVKoiHb0RujMKDglP/z3ey3LRbSkTBvICn1t2CdyMP6Q/Ld4qlze9ZxEr3M5qgiKCJ7hpnjhKBWaaHb0z9xxciD+oGZ1tvFmdSKsUl4PlBZT7v/BGE8WZd9mXRKJ2qlxVus+8tSvb+v7kQmJoETG6lfjh+qy3Llvl2a+0nRp3JJpyYqoLA+cd6u2rlchqmuDtppdm138MetfLaXGZZmSuxScC5WO88kJaHx3aFG9YSIRb85ab8l4Km7HnAbLBoGRBmabdsd4847zStmokkKrp32H4qSEX5Yt6xQiKtEX/iIqfHjtszJ+yXR9v0aVa/uakCEqFo4opGLmsi1rVDh1EAkyasFEFS7Xbt8kecTjrCJWg7zeQNakMQ8VYRaIlEjNtcX+jMgC4grW79wiDaJrpfh8nLTAfoN9XrByfujfvJuKqAj62+I8LlvDMDIGYuOiRYtk1qxZvsv8+fPVFeo/iOratate16lTR0XUnA4nrapUqaKXlAaXOHf8B8ajR4/WayIJ+L6tWrXyXVq0aKGuWsMwDOPkAgfn3LlzEx0Lly5dKsWLF5d69erp8aBBgwYycOBAvV27dm09CZfTIQanVq1aekmO2NjYRCdO+Q3w888/6+34+Hhp0qSJtGzZ0ncsbNq0qQmrximJiag5AIQAcG47SnURJ7bGblcBhlLWcDeUcizfskaFw6plKqorDvdoOERUpplydhyWU5bP9jXKOb1FdxVREeFGL5iUSESlxN5lYCaXEZpREFBxltLY6s/ZY/S+M1v28olBCJ5MW/nipaV5tYYyb91imbF6gYpBOEvTAsJxu9rNZeqKORpfcHPfS9VF3KFuCxWLyXN88aL7dD4gduG+C5ZJSWMiPv9YwnGJPbhPG2BlF6tj1ms2K/NrcLv+qebqOBG1ZzJiK0LZ+CUz9Ha3Bm0TPeZK0bPz+6YXhENEVFdGT04pDlXY580/drBOsB0i2AeCMz1wvePEx6HD8bofwMVLczJ/EbVx5bq6LW+N9WSmFshfQEXc5slEIrimUsk1iAqEaYW6FWuE9HymExF1QwgiKsI8jm9ObjDvyJMN5kR1J5dw2S7cHrwJn2EYycO+l4w1SuXdIJFyQUoI3QDprrvu0msGXCd7hhqDSwaHXALBxerm0fjx4+X111+XjRs3qojsBpLt2rWTtm3b2mDSMAwjF0G1w8yZM7UqYfbs2T7BlAoIt38/77zz9BpX6cke+VKiRAlp06aNXgJ/M6xZs8Z3LPzll1/koYce0giBxo0b++ZVx44d9Th6sv9mMAwTUXMAdC4H58LDsYcAp2XOMevUoRfuhlIOf9ESAXHe+qUq2oTjIEEpMiLqxGWzfCIq2aMVS5STLbHb9LNd4ymgdP54wnF14qZWJpwRShQpLrPWLJItu7epsNWt4QnxjsxS6NGwg1QuVV5dkrhWcQs29Wt4FCpnt+njFVFHqYiK6NOtQTsVUWesmq9Ou1Y1G+u8p2w7mIi6ZttGORB/SArQ+T2ioC6j1jWTDvQyGw6gv0wfobcRhxG8UgIxesryOXq7Z6OOyTYRQ2BDJHZuYCccL9+y1tf8LLdB9i7l8zhFEVDJ2120fkWiEnUHzaIA52goOGGxeplodXlz4kM6nel7HAd18chi6n6O2bNTIsgXzJtXmlQNvv660vlQnKiIm7xvWhzxVUtXSlNzKbZ94hDY57mYE/9MVCBCgmxgTobMi/HMV8MwUhdN//vvP72MGzdO3TaIf61bt5Z77rlHrynLt8FPYhhMDxgwQC/+wqobcCNEv/zyy5o9xwCye/fu0qNHDx2EmqhqGIaRs0RT9ttjx47VYyH770KFCkmHDh1UBDz//PN9gqlxAnQBfh9wIaPc/a4gA9YJq7/++qvcd999GjfQrVs3PRZyMVHVOBkxETWb8ZSsOrfVCaEAgQIRFSEBx1e4G0rB9r079X0RZQe06KEZlLhBETtSE8hCgRLu90Z9q7mfuGopJWYn3KtxB/na2ySJpkp0GyfOYMqKuYlcZpkFTlTclDSU6lK/tQp4jmkrPKX8XRu00QY2LBuE3SqlKqZLWB7QvLs88N3Lmo3KPEDMwuWKcxCBfNicsdKrcUcVURGcz27bL1FzISD24PjxY1KvUk05euyYjJo/MVtEVERvBDRcjme27JHq81mf4o8eVqclpd/BIOcV2tdpri5rB+sgImyhiAJJStxzA6wr5NeSZcq2hKAa5XVTumZJjlJFPKX9CIKh4IRF1ofJK+bI/PWeDF8H23PjKnXUyatN1OIO6zrOCYxAcLW6pk+Ir6E4kdln4bQNNW7DnRAJRUT1TEcVFVGXbl6jn8W8LFowaRQEDdeIwtiwN0a/Z3ozogzjZIRtZ8mSJT7RlAuiaadOnXRQc8cdd6jI5/KZjbQLq/3799eLm9+4l9y8fvvtt9Wh40RVLjhVbX4bhmFkHTRfwmnq9s0TJ05U0RSR74wzzpBXXnlFGjVqZCJfOuD3OQ2puODWdSI1JxiZ18OHD5dHHnlEj3vEALkTjDhXbX4buR1bg7MZSvRx3eXPly+ReFargsfltX7HFi2fzYyGUgs3rPAJsyUio6S+t9Q2UJRJL4jC5DjC9FXzfffjxAREMpeBiuCDEy+yQOFM78SOG5TPY57SAMuBa3DxJm/X8RqN1CGI8MnzcL45x15aYJk1q+r5PmMWTZVd+/f6Mh2BSAGceuSy8vk49vyh9Js4Abi0y1lCvOXstYt8ERBZBSI3GbLQo2H7RIJ/ckxfNc/nWg0mQDNfp3rzZ8nQ9WfZZk+Jdu3y1cPqvM5KcErWrlBNBVSI8m67gSKqEyMRAuMOH0r1fZ2TtUF0bZ03OHlxdPtDST9l8bwn2xnPqxNEyEYU52RCZMHCKoyGmoca7L2So0IJj9Oc3FdE29RwYu6KrZ7YAPaLwX5s9WjUXq+PHD8qy73TZRinMuSVjRw5Um655RZtboGz9LfffpNmzZrpNVlnNI94+OGHVUw1QS98cIwjI+/GG2+UH374QbZu3arOnHPPPVdjErimI/MFF1wgX3/9tezaZVnOhmEYmQGNntgPX3LJJVKuXDntaD9jxgy9njJlijZPohz91ltvNZdkmMHQQIXL/fffL//8848e62iI1b59exVV+e1RuXJluf766+Wvv/6SgwcPZvckG0a6sL1GNuMEFUQpf6GJLMSSRYurwDrN69AMZ0Mp3nfxppV6u7E3c7JZ1fp6reXBYaJt7WZ6Pd0rlkHn+q00oxFBBUcozZKcI7Ft7aaZ3jRp3JLp2mwnumR5nccOhFWETLqlVysTLSu2rFEXKs+hiU+gwBkqOG/h34WTZU+cR0Q9rVlXKVIwUp3AiKLtvSIi+bH+ILySf0nswOktemjJ9bHjx33zK6tABEesK1KwsHRvFFpe7VTvetuulmcdCAQnLk5NnK1Nveueg2ZJUK9S7ivlT44or/DMiRN/MRGR1Z0c2R2CG5XXQ+moElLHe7IFp7M/jarU0dL4g4fjVaxGmGQ+J5uHWrZySE7rFVs9sSJpyU1mPec7Mh27D3jW/5RwsQK4Uf3nWzAnKjDdwVy2hnEqsGPHDvnyyy+1vI6OuldffbVuax988IEOXk4a0XT/NpFFf4gs+FVky3yR+MTZ0rlBVKV8lPtee+01HdjjhHr11Ve1YYdhGIaRfsjr/N///ie9e/fWY+EzzzyjJxMR8rZv326iaQ4RVWnU+NVXX2n++m233abNKQcNGiSffPKJxuQYRm7B9iI5SEQNpE75avo45fDhbiiFeIIYg8DhOmLT1Zty8617dsi2PTvD8jltvTmXSzav8rkn6TTevHoDX8YizYcWbVwZ1JGYGUxYOkMFphY1GiZq8kODHmhWrb4OgCix19LoynXlQPwBnWehllz7Q7m+E28RtXhPHKr9mnbW+/+cNUba1GyizkGcga68Gvcnndmha/02+jrn4iUGIatA8KNsGno36RRUjAsm0pP5Cu3qBBdR3ckBXL/OrRnoRKVk/WSBbZhlHMyN6sT8UHJR4w57RFRc202SOfGBEEkUwtHjR1V0b1CpVoabSpENTJaxe/9QYVtykQXBmmcFUrmUp/yfxlysR0UD8lAdZOUSzXH4GA5yz/7DME4F1q9fryWIXbp0kQoVKujAkYHhhAkT9LF33nlHTjvtNC1ZzLXsWisy51vJ98ft0mvBvRLxagOR7y4V+eEKkXc6izxdSeTFeiKfnC7yx50iG2dKTob9IA27nnjiCS11ZMB/4YUXyr///qvLrn79+nLvvfeqWwoR3DAMw0ge9pPz5s3Tk4TsQ+vVqyd//vmnDBw4UE9MUQHw7LPPqoBnomnOgZO5vXr1kjfeeENWrVol06dP12X08ccfS3R0tDpWn3vuOVm92prGGjkb26tkM640N5jbipJ+nGl0qa5SulJYy5oXeUv5EU7dwYXcROcwo3lROChbrLQKLhzscJ0GK+kfOnO0r6EUuamZCbmMCEeIdoije+L2+wYsc71NtogT8GS0zlZRmbJpBCtIjxuVrug4SWkitWzLaikeWVQHVP1bdNfHxy2dLhH5I6RpNY8gNnWlR1zEobpj324pEFHAJ8SS4YqLl7Jql5Ob2eB6RdwrXjhKOtdrHdJrlm5erUIhXdX9O8cnLuX3fM/2tZsnecx1gM+NTaVSonB+jwC9N6C5FCcWQhZRvU5UtlfX7CxYLmp0yQpyPCFBRdTknKNrt4XeVGr9zs26bIgfcE3wQoX1H3AepwZNpFhvyP/lpENyTlT2W4+fe5vc0mqw1A5jVrRh5ER2794tH330kWaK1apVS0aPHi2XXnqprFu3TvPeHnvsMWnePHh0Sq5i9zqRL84Rea2pyC83SN45X0vRQ1slgSyb8o1EqrQVifRGj+zbIrJmgsj0T0Te7yny/eUiO1dJbqBKlSrqUqXMEWfO888/ryWmuKgQVJ966ikdYBqGYRgn4EThCy+8oMIpmdOckHr00UfVbUrlBe5GMjqNnA+/V8hHffDBBzVmYdOmTXLdddfJ1KlT9TjI8n333Xe14sYwchomomYDTrTD4UdmYbDu01C8UFFtzEOGJx2+wwXuz1Xb1uvtQIGraSaU9Luu686ZCN0atPW522asmqfzJLMbSsHEZbP0ulWNxlIssqg63Q54G/U44RgnKs7Z2Lh9WmZNY6AyxUrqcli0cbkKv2kBsYccUSfC0jkdEMDIoUQUm7Zyrs+Fi9hMCf+o+ZM801q9kW/9QMByLt6JyzLfecPyGTl/ot7u26xLEsdoaqX8bWo2DSr+b9odoyIwzsyWNRsneozYAOY9r6M508kooh7IQHMphEWILFjIJ7wjWgfmqZYrVkoSEo7rpYxXxPSHdX9VzPqQG9at2+5xSBN1kZ582FBFVKCpGydWnFs+OQa36y9NytVO8TmGkZszTul2S55mxYoV1alxzjnnyMaNGzVbjEwxnBsnBUScTHpb5H/tRFaMFsmbX6RKGznW8VaZWucuOXrfSpFbp4hcP1rkoTUiD68TuWGMyHkfijS/kNGYyMLfRN5sI/Ln3SL7t0tuoWjRonL22WfLF198oWX/lKHiVm3YsKEOInEWIxAYhmGcyicRiUCpXbu2jB8/XoU3yr+//fZbOf/886V48RPxbEbubdh41VVXyR9//CFbtmyRIUOG6PKtVKmSnHnmmfL9999LXJxnzG4Y2Y2JqFkIeZt0YJ+3bYU6Hen8DgikwXJAV23fIGWiSqkrK7BxTEZYummVfj7NjCgr96dJ1Xp6ZogIgdgQ8gtDgVJ1J1IiRAJCIIIcQgluXFxngbmY4QahdoIrj2/QxpdDiSsQMZv5otNWraFMXubJHG1Xp7mUL15aShctqa5UbT610ePiTQtd63scnIiwzsWn4qq3Oc7ohZPVLYjYhXA5fN44WbN9gzYccwKsw4nNU5bPkcxmyso56iglo7e9N982FFxTKTJug+EcvY2q1E3UUA1WbPE0CapeNlpL4E8mCuSLSCSEplVkZLt1Ij5OVLbh8sXLqCC6MODER758+YTTNQmSoE7nQNZt36Qnaci5rVwq9agQ9glQrUwlSSs0aYNQ4zAqlSznEVEPHzzp1gHDSO04Rfdg3BiU6t93333q1Jg/f75MmzZNXTYMNE4qtiwQ+bCXyD8PiRyJE6neSeTWaSLX/yvH+zwhMSVaiBT27EN8FC4pUrm1R0BFSL15kkjdPiLHj4pM+0jktWYeUTaXlcaTE0e+7dChQ2Xz5s1y+eWX68ARsZxO0uSrIq4bhmGczNDlnYaInDjkWMhJRDrAcxIRBz9NozgBZZyckJV6ww036O+hZcuWaZn/k08+qb9/rrjiCo3CYUxkGNmFiahZCCIceZdxRw5p9qXLRSxSMKkLFVFkzbYN6lREgFgdsz4sOVm8x4INy3wCViAIi9W9TrOF6RALg0HeYskixVQcXOzNPiVXs0X1hnr7WMJxzW8M1eWYXmhkRN4rogzuWJdDi4i7ZNNK7VKOiImA4xo3IVjiikNYdm6+2WsXp3lZuOzKVTEb1BnocGX6ZJ8iMLsGUz9PH6HzC9dfzQpVk+TMsi4hamVmST9l4OS4Qp+mnTVHNlTme/NlcfwGY443OsGtA/64hkJpyd3MLRT0ruPO/RxYzk8H+5TWLedcR4AvmL+AJ2eveiO9b9aahb7nIfZzkoYGavny5PNlzPqz3CtWI96HUgKM6Jp+J2qJNDlRafp2/HiCumvZNxjGqeC0Idu0UaNGmulGbhhNGFasWKEDh7p1kx6vcz0MgEY/LfJeV5FNc0QKFRc5638iVw0TKZs0BiZFKjQWGfKLyFV/iUS3FDm83yPKjngs1wmp/oNI3MZk3ZLxhyuV2AY6G5OfyrphGIZxMkFEzSOPPCJVq1aVu+++W5o2bSoLFy7Uk4g0hqIpn3FqQTwD2beLFy+WcePG6bHxoosu0hzcl19+2So1jGzBRNQsxFOeXNUn6JGRmVwpv7rEVESrpAILXa1DacqSGpRKk7HKtNRPpmmPE1cXbQhPx1gEmhZeoWe2n9DjxB/OJO0NKG/ODFyJeeuaTVTEdVmLLAfX3Rw3LALXok2ewUnHOi0lupTH9VOoQCEVEsmpda68UIksWFgFcdx1M1adyIZtVrW+irMIXtNXzVeBFKEM0fzI8aMq4ga6lBF/G3uzMKeuyDw36prYTdoMjCxU5yYOhb0H9/uEUDed/njE9BXJiqgnHI8nSZmqHwXyeQTBuPhDSU5esE3iyGb+JYcr2S8cUcgnfLas6UTUE3m9vAcnDBDbcTO79dsf8nmhbgi5s7jS9xzcp3m8VUp7Gj+lhbTEFUBFrxP1YPwhFYsN42Rl1qxZcuWVV6rTEJchJYrkgr399tvqvMj1GafJgbA5/CGR/14WOX5MpNFZIrfPEGlzBWeJ0v++NbuK3DBWpP9znr8nviny9/25Vkh10GX6oYcekqVLl8pPP/0kGzZsUIcyGaq4tY4e9VT5GIZh5DYYB+IuPf3006VOnTqyaNEi+fzzz2XlypXajI/7DMM1aHz11VfVkUzjME42kzF+8cUXy+TJk60xo5FlmIiaxdQsV1V3AjQM2rQzRu8LbJzCwYRMTqgfXctXPrsqZl2GP3+hVxitXaGalgMHo7E3J5XmPghe4aCVN/fSX+ghZxQQS/gs3LeZBTtVckehnbeRETEJQHk0mZKAsIzgxPOjS1WQcsVLq8CF0J0vT14tn/Z3UobKvoP7tYkXTPETPnEUdm/oabI1adlMLfXPnze/HDl6RPJJ3mQFLpef6v9e4UQdy9s962D3Ru3S5EJ16xjzz5Wp+0OkAa5boiSClZGvzYDjMadTwDsfKVP3h/WAvFtIKUbDOVH9t13n9kWYdqX+e+P2yebdMbrcIvLnD7rv8DXvSuZkij9rvcI2jd/SU15PHAQgxLpIj1SdqAk4UQ8GjSIwjNzM4cOH5ZtvvpEOHTpoxluhQoXUZTNp0iS57LLLtKT7pOe/l0Qmv+u5PegtkYu+EolKPVYkJBCeO90ictabnttT3hf5406P8zWXw+9HmotR4k+DFboc33777dpsjGYr1oDDMIzcQmxsrLz++utaaXH11VdLmzZttCs7J4b69evna3xsGIFQrUMW7pgxY2Tu3LnqUO7fv7+0atVKPvvsMzl4MPE4yzDCje2dshjyT8sULiFHjh5Vtx4HCDIJ/eF+SsxxSyJ21qrgaa6zcmvGRFQaWS3e5CmnbxKklN+BUILoQXm7c6tlFByeuOIQdrbGemz3hw57BFrEEtygTsjMDIhP8DUyquFx7iEw4RD1F5RqV6gu89Yt8TWYclDSD6WKeMQgGvKEmhmLKE50g2viNcUbFRCYcUqEwLY9Oz2vSUiQI8eP6bIIRrvazXQwxXRs3+t5TThZsGG57Infr2KdE2zTKqK6zvHJ5aHiQg3mslrvnKhl0569mdMp5HWiUm7P9uhPcV9GbwhOVL9GcwjRCNKIk27er9u5WddP4gMi8kWoA31v3In3xWG8xbsd1vHuX1KCGJL05qEC25lzlOLkTg3We2IvmEeZeXLFMLJ6wPjcc89pmSIl+hdeeKG6Tt977z3tNHzKgKj577Oe2wNeEGl9eeZ8TpsrRc5+1yOkzvhU5LebPa7XkwSy4XAuIzq88cYbMnLkSC31v+aaa6zU3zCMHF2yT2k+FRi//PKLNtPjPlyn7MMMIy3Ur19fj4H8niJPHqcq7lTib+zEopFZmIiaDVQsWloOHY2XrXu2q0jgf6YNwWCRt9S5QXRtLeWu7Y0AQAREXE0v5HHS9R0HZkouP4Stxl6RdeGG8PwQRyhuUKm2z8WJwLNh1xZfkyUcr7NWnyj1DzfOhUo3c/9GRq65FOXzwLye583zbFHtRKl5ZW9J/4HDcVKtbLQ6NZ3Ymhr74+NUSKV0H2gu5t9JvVXNJrqcWb7D5oxV8dwj7iao+BUM5luDSrX09qzVJ9y94WLM4il63aluy2Qdy8nhSscbVw0u1PP9kyvlR0AkugKqnoROVEr2XTyD/zrgH+uRkojqnKhO/IdEuajebWi297p62SoSWaCw7mf8M1NXbF3rcwu7bOCU4OQHVE5HKb+bRudKDiWWBLcr20Fq88MwcgN0EH7ggQekWrVqMnz4cPn000+1LBsH4anSUfjYsWPaVXf/xI9Fht2n9+1peaOsrnCa5n0uWbJEFixYIHPmzNGIg5kzZ+oFYRC4n795jM71NNqi5JOGE6tWrdIBOAMo5vXOnTtl//79nhL3lpeInPeRSN58InO+Efn1plxf2h9I/vz55eyzz1ZHDvOI702p/wUXXKDzzTAMIydApiXN8siyJMeSvGcaB3FCEWehYWQEGo3RjIrfEsQjTZ06VX933XnnnVr+bxjhxETUbKBogUjt9g40j/LvLocwFxd/UEWS2t6GQogcLpfTiR/pgTJqwBGZWomEE1EpEQ5XvohzdvIdZ69dpO9bq5znO8YfPZJI5MmsPFRXyu8gSoESaPIjoXrZyr755O9EZXkh7CD2Vi/jOUs6f8OykEqTnQiEy5WmVbzGiVyAqIugSKzBf4unaQkzzX4Qv1ISlsl2hRmr50s4IY8X5yHxBV3qtUnz650bskkQJyp5vIjFHqG+XrLNi3BWBjq0TxacKM127k+UV9BP6URJsHJ+//UaEZ4TMTiJoUnVuj5Hr3/0gxOy64WQhwqbd3kamEWXTH+gf1qbSzmhePf+0BzfhpHTWLt2rdx8882aZ0ljDDLfxo8fLwMGDDipyhT5DYNoiYCJK5KBMkIn+WQIe2SW/fXXX7Lgxxclcvg9+pqNVc6QheXO1IH03r17teM8xwWiDKKiolRcLlGihLotgb+58FiRIkUkX758KhbyuThNEFARUxFWERLHjh0rw4YN088dvb2ULGl6vxzPk09k7neydfjr+vw9e/bkqixRhOhHH31Um2wwnyjhf/rppxP9RkM8JUsQYZryxk6dOmmJI2KFYRhGdjB9+nQ90UOeJWIpIheRJPxtGOGG3xJE3XASlkZUZIjXrl1bIyM4NhpGOAg96NAIK1VKV5BV29areIgI1rxaQy3jdx2zyTnEteYgG3PTrhgtO3fl6GmBcnnX7Mc1jkoJGmDhBKMMnUY/iIsZBRfoN5P+UIHHlXG3r9tCBVUyQHGoIgD5f+9wgPNt9bYN+pk0bvKnaOEivg73iDw4Pw8dOSwlIqMSfWcGvJQYI/IViMivTlBKopduWiVNqgYvW/fPQwUyLxE+/5j1r37nzvVbJyrpH7dkumZP0sSJz1q7faM24hrYqlfQsndyZr+c8JssWL9MxbW0OkaTY+KymXpdvUSloE3PUgJ3pYtGaBpkvjiXNetXMJH0ZG4q5S8OHjh8MImI6lzRew+l7kQNXNZ9mnaSt0Z8oSX6/8wdJ0u9mcqsb6yryzavVhGVwTbb2MSlnmXcsW7qUQ0HDsVplikkFy8RCs6JGmpzKedE3XUg4w31DCMrQcgjn5IGQOecc47mndJhOLeD0Llv3z4VLrkcOHDAdw2Im1wQ+CIjI6VUqVKa96qXfeuk4CfXSB45LtL8Qql8zvtSOQQh+ciRIyp41qxZUyIiQs9HZl/Haw8dOuS91JWdefZI2TnvSJlpL8vMPFVk57FIFVGZPhws7sJ3QKzlO+Skxl4vvviiRj988cUX0qhRIxWLaUqGuHzbbbclei7um7feektF1zfffFPOPPNMFVgp/0fEz0nfyzCMkw/2wZxEe/7559UReP311+uJLkr4DSOraN26tfz8889a/fPSSy/pbzGOhxwLTcQ3MsLJY4XIRWje5bGj6jZEKFizbaP8NmOkzPU2K0J8cs5Th2swRLYnokZaWbxxpbpFeF/X5CUlEDJdIyTnLMwouE6JEkB8XLJplXb6Pr15N32M+YGohNgTbpybs3b5ar74AEfhiIK+jNYaZSv7lgHCaOAgwzWVIre0ebUGnvdeszBFpy6POSdqscJFfCXs7nMczao20JzcLbu3SdVSFdXFWaRgpMTG7dPc02CQhVm+eBnNrkVIDQeI7S6ztH7p1LMyA1m6aaU6astEldRpC2TBhmXJulRhXQazN3MDLk4iSTm/t6w+xUzUeG85f4CIyn7k/PYD9PbTv74jsQf2SYH8EdK6ZlPp1qCt5M2bT7bt2aEi9szVC/UzShYpLs2863FKbPKW8rPfyIhQ75youw+EJqIy/bDngEfANYycDqXlgwcP1h/tCHGIqd9++22uFFARTHGW8p0QgXF0EEWAw3Tz5s36e6JMmTIqzOH4OOOMM/S6ffv20qxZM80ow4FboUIFKVGsmBQafp/kORovUquHyNnvcGYyU6ef4zeOp2LFiqkjkxzasoOeFqnSRvIfPSDtN38lA047TZuXsLzI4aMsHlcrTtp///1XHbQ0+2I5IuQiGGdn51+cvWeddZZ2sGbennfeedK3b191eSUH350OxsQdMHDEicPAke9mXYwNw8gM/vvvP+nYsaM2/unSpYvuf8ipNAHVyC74TUKUEk5U1kPWS363EA1kGOnBRNRsIP7oYf3xihu1X9MuvrLVQgUKahl9Q28DokCXGiIer1sRpNN2SvCahV4HYKPKqbtQHY29zw2XiIqbE/EMZ+auA3ukQXQtaVqtgTacQXhDDHTTGU5wczrnZrCBlmvmhHBHiT4EE5ecKIiTrm7F6iryUJ6OYzQ5EIaPHvO4axFFmzsRNSBPNWbvDl0PWFb7Dx/U3FX33JmrFwR9b6bdfacZyTwnrUxZMVeXQ5VSFbUBWlpxGbos50ARmu/mxN7k3LuugdHJmIfqIKYBknOisn0kN7glesLzHknFzPPa9ZdCEZ5tiW2td+NOUr54KZ2XrLs0s8KlOnrhJH1+j4btQnJ9I+wDURQZwTmPiatIDb6/K3eOjbNyfiNn45oZNG/eXIXFlStXyvvvv6/l1rkBBNFdu3bp4ALBdMSIESqYUnKJ8xRHaYsWLbQsHNGOwTHCMN+PcnsE4xTjCWZ9IbJuikiBIiJnvy2SL3RHaVghj/rcD0QiCous/k/yzPhYXailS5dW5ybuznbt2knPnj1VqOzQoYMOtnC00qgJVxWRDE5YRWTmsayC+Y6468oR582bp3mCLJfUwK16//33y5o1a2TIkCFy2WWXSY8ePdQhZhiGEQ7oks7+iJM9nLRBPH388cd1H2sYOQFOqNKEirilunXr6jGf4yHHRsNICyaiZgM0lQJKpcsVLy2nt+guZ7TsIWe16u3LIg2Gc6PiKk0LOC137tutDW3qVQotAxHqR9dStyglwjv27ZZwgMt236E47dDdumZjnSbneKWkf+H68GaV4HCdt97TKKp1jaQiKmyJ9YhEFUuW0/J8fwHZH1x4riQZh2hTb6OolARMmkq5ZY2oSMd65ikRAjHeHNYD8QdVXKxQoozky5tXIwNoZNXKG9uA4BrYyd1B7APgHs2oq4SB9KRls/R2p3qt0lXu50r561WqmeQxohJYj/LnzSf1gzyeuJz/5HWiFi6YjBPVu44gugc+5gRU16k+mCOUuIjre10kVUpXlP7NukqVMhVVsC1XrJRElyyvr2X5Oqdxz8YdQ5reTT4RNbE7Pr3iMet7KNttofwFfNuaYeREdu/ercJUnTp1NF8TRwPl1jndbeMvmk6ZMkWFQcTT2NhYHeziVKTku3fv3urS5PuVLVs2fY0/9m0VGfGY53bvR0VKVJFspUxtkX5PeW4zXTuCn7glc7VkyZLq+EQc7969uwqrZIyyfA8fPqwiM45OMteyQlSlORkNWHDUEG2AsH3HHXfIJZdcEvJ7ELVAkw3KanHisIyJnKCxl2EYRnpgf3LxxRfriR5ORpGN/dBDD2k8imHkRPhN89prr2mZP8f7hg0baizOtm2eMY9hpIaJqNnAwaOH9dp1xcYNxu3URCvERp6zadfWkEtiwTWZqVPREx+QFudYzfKeAc+iMLlRKSE+euyIZq3WLl9d73NiJE65hd6mTuGC8mWaQfG5NcoFH7wRkQCU+iMY+wvWgVQs4XHjIYKSTZvXK3o6QTQQ1ySoaMFIvS5SKFKXg39JP05ZRKOqpSv6BFbWB+IHyGYlB5P4g2A0jK6tQjTrg/seGZlXvA9il4srSCsrvS5pnLqBLPAK5LUrVAu6HiLybdi5RW/jxD3py/kDxESPW7lwohzdYHmozLvkXF+Xdhkk7139lGaXFo4opM9DcCX6oWyx0nL4mGeA375Oi5CdpZu95fyVAiJG0u1EDUFEPXz0sBT0riOxB/b4xGPDyAnQZZ58SnI66X5O0x46wSI25lRwlOKQdaIpDkREU8q9u3btKqeddpq0bdtWmy8wuEhL/miKDLtf5NAekegWIu2vlxxB22tFanYTOXJQ5JcbRELcvzDQotkVwioCJgJknz59dD0IJqru3LkzrCXzP/74o3zzzTcaEUGsAtmor7zyil6nFZypNKVinahUqZIK59dcc4024DAMwwgFThzdcsstGuuCqx9Bin2SOU+N3AJVKDRjnDFjhjqnqbB54okn9DeTYaSEiajZ6UT1iqihgrBW3SsuLQrRjYqA6JrMBHNXhlzSH6YyexonFYoopIIKjbWgWbUTIioiGpmp4cKVwuPYDCZS48hZ6+0IH+91kCAuJddQyTXWQTSl/No5KqcsP9H5PJgTlQZWDl8u6rolmm/rMls1QiCPyObYGHUdIoC1qO5xo9KIKhgFIwpIg2iPk3deQERAehtKta/T3JdHmVZWeBujIQAHssgrkDdOJg91575YXQcQE13+7Eldzh+krN3XXCqoiOrZbxQukPKJEJeZXKTQicZdON5xuT8y6Gb59tbX5b4zrw1pWtk+XGZwJe8JhPTiYktcrmtK0NyNdZAs14Q0NKMyjMyE7eGzzz5TsZSmUVzICm3VqpXkxGkl3xMxb/To0ZpRx9+IpjgQKblENGXAQG5opjQaWvqPyMLfRIgNGfSW5zonwEmoc94VKVhMZMMMkWkfpfutcHZWqVIliahKpixZpf45shl1qd57770+N2qTJk20BBFXKY1b0guZtW+//bYKwDQIq1evnrqrbQBpGEZKJxIRmjh+bNy4UWbNmqV5k5RKG0ZuhBMBv//+ux6zic1h3X7nnXe0+aRhBMNE1CwGkejIcc8GSZOltNLIm5e6eOOKkBwONPJBSKWpS9V0lEg3ruL5vFUx63xOuPSCmwz3JWXHCMjO3eqaDJHFyXdyHdzDwfx1nlL+FjU8wmUgOE8RLCmjd1mU9SoGLzV3zXUQd5inO/fHqqOPweeKrWuTuFH5vs5155yo4Fyec9Yu1gxSXKhkVpYuWlKKFvSIrYu82aItvCX95NLymcFw7zfP+13TA7mwSzev1u9CKX96QLxzTYic29Yf56Z18Q2BbPbGKlB+HkpWZ24l0lvOT9l+4DKN8uWiehzM/sR781CdQzM5XBSAc346ERVYZ9PiRid+gfWTdZ5mYRmBTGA4eOSQCjwpwXxhXSziFZzDFSdiGOkFIYxSbgaOr7/+ugpkiGY5CdfJngEtAwGcFTgkKVNDNKXpEwMDXIiZ3p09fp/In3d7bne6VaRiDmuuRaxA38c9t8e/LuI9uZ1RnKiKs9O5ewsWLKjl8iwTnMBkrx08mLojP5hwEViFgDs2tf1pKOBA/u677zTvlWgHxFT+tuZThmE42B8gNHFMwXXPScShQ4fq30bG5iti3aFDh/RkFvFAVDJs375dy8u5EJkA7j6uieXhubyGE3fHjnnG0Ub64Xfe+PHj9aTAm2++KW3atNGmjoYRSP4k9xiZygGvM5ES2/w0OUgjtStUV/chbk3yI6uXrZzsc/lh7fIPW9dskq5BEyXACHwIhIhglLCnF0Q68hBxtOG0c+5W8jMRaRCYER4REDvWbSkZBcGIEne+d5NksmZd+Xi5YqW1bJmDT90UcmMZwDA/eB0Nd2iQRIMscmonL58tZ7fp63su35X3Y3lxcbiGUXPWLJZ5NT3u0fqVasnqbeulVvmqWhI/Z+0ibRpFiT/iFSISTs6WQXJdyZkFohDITk3PeuVcqMQD8HnpccysjPE4i3k98Qn+MP1korIskotKiPE6Hp3b92QFgZj1AaEQAd9/3UjJiYo7E1ITQd0+xomWUL6YR0RlGaQFF2/BOp9i45g0iMdsE5yQIdoipXJ+fzctmc6GkV25p4888og6UO+66y7NeYuMTPsJ0MyC4zwDKsqwt27dqk2ecBcimJLpmeliaXKMeUFkz0aRktVFejwgOZJWQ0T+e0Vk3xaR2d+ItL0qrG/PvKeslQs5gfv379dlhCsV5ycNuypXrqzl9KHkzdKo5dlnn1W3F+9HlASZblddFb7pxlE7duxY+f777+Xuu++WDz74QN04fJ5hGKcuRH+QGckJROJsrrzyygz/LjyZ4diMKBrsguDJNSc5EU/93Y4cN/Lnz68X5i9/c3HVAS6/mt/SiKZceL0TT/1fz3GFmAUunMxzt/0v2fYbIZ1wPHr55Zf1WNqsWTN566239GRlMD766CP58ssvZeFCb4PpVq3kueeeS/T8K664IkkkTr9+/fSkJ5UlHGNpqHneeefpek8zTcMAE1GzGOcwS2spv4P8S9yoiKMzVi1IUURdtmWNiq2U0Sbn/gsFPg8RFYdoRkRUV1rfrWFb+XP2GFm51eNuRVCuV7GGZrfiesM9Gw5cJ3iESZc/Gwj5slChRDnZsGurHE9IkPopOFGBUnMVUWO3q4iKGxWBme9Dd3nn+HXL2l/MckIlzZX2HNynncfJhE0Qj5ME4RQR1YnfHNyY5yPnT9T7gomoZL0WLxyl70djp4Zet3KoIOZNWzlPb3ep31rSy4qta3xCfzABXae1bOWgneX9BbuTuZTfgRDqRNTiEuW73+0Xgomo8V5h0V90DYZr3JTYiVpGr7clk92bHE50RUQNh3jM9+Y7M40piahOMI4qVFQSJMGcqEa2DIDIyaK0GScCndBzSuYpgyUcKJRR4jxlsIQY161bNy3Nz3bidolM/8Rz+4yXRQrkHNE5EfkLinS5XeTvBzxu1FaXieQLUxZsEGiyguOTC4Nolt369etVUCVmAQcrAzTcpcFgsPjoo4/KTTfdpMI54uv1118vjz3mbdwVJvjdcdFFF2kjraeeekqbi/GZdNnOEeuXYRhZBg54IkNeffVVFZy+/vprPQFkeI7FiKGcIOOCI9TdZr6Bv3jJbU7CMv/4G5HTCZ5c2Pcnt//H3EKeORnmgZnlTAe/WZwg6y4cZ5xgy4UcdPc314i0nHjl2OSu3YVpy2kCK9nznMx+//33pV27dvLGG2+o4Lls2TI9hgZCjBHHMhqeMb8RQRFEiTnybwBK1Qgnyh0sJ3f94IMPavNGPpcKDbLEb7zxRl1exqmNrQFZzH5fXmH6BxW4SsnTXLt9o4qbwQQOHJ04I125N+JresHFOWbRFHVbspNOz5lHBCNK0qFnow4q2iHQIK6REVrXT0RdsmmlHhAyuvOev95T3t7M27gqGK78vFLJsr5s0uScko6K3oY8u/bHqiBEiT95pkQV/LtwsgzperYKRm5ZB+ar4rqlg/qa7Rs167F7g7Yycfksfaxr/bbyw5Rh6tJlGfI+Lat7RFSEWkq1A0VIddpWradu0nnrl6VZREXc5nvgIMURm14QkaFuMBF1kyfDt3508u+/9RRxovoLoU4sdLh1JVhjKV85fyp5tQcOHUyUQepfzr993640bcNOdC3vfX1GYZpY14LlwQYTjItFFtUTQTv27QrL5xtGqKX7iEY4HT7++GMZOHBgjhhMMDDDcYp4yoCKQQADCQZkOWH6fEz/VORInKeEv+6J6owcSesrRMa9IhK7TmTejyItQ+90nxEYnJGdyoXlyjJdvHixuksRRxFUcbD6L9eoqCgdNHLJChBMaRKD05XmMfXr19e/GZTmqPXNMIxMK92/4447tLqBBoo5Mf87q+C3M25QhEhK6Lneu3evOkERRp0QiZjHfp2/iXfJin0ln+EEWCcAhvJ9EHr9BWCOQ9xGZEUkJPqHZoruwvfLzn0/rtBrr71WXdCAmDps2DAtvScvPBAaMfrD77lffvlFM0+HDBniu595xjqeHFR//Pzzzxpfceutt8onn3yijlhK/41TFxNRs/iARFd6iMqAiEoXeZybiGozVs2XM1r2TPIc8jER+RAtcDdmBNyuuNpwj63etkG7q6cV3KWU6yPU4dRs7BVmyUV1IqrLiYyN2yfb9+7yCT/pndcuIxSnZ3Js3OlxouJUxYVKTm3ZYimfYcU5W7JIMdl9YK8Kf8yfzvVaybLNq9UxR9YpQvd+77L2z0MF3LcuD7dgRIQ2zkFkRlhrUb2Bvj/PYV7XqVBdRVvcmTg1F6xfKu1qN08yTcxPRNQlITYc859PrpS/c73WGTo4kgsLwdaPxV4RFRducvicqCF2jc/NFMxfIJEwGljO7/YT/rj81NQzUZM6UUsVKe6LzNi5f7fGdIRCzJ6diZysGYUTALv83LLJcdj7XdnX7fHuDwwjs2EQ8fDDD8uHH34o99xzj/4oz+7SfQY6W7ZskbVr16r7FKciDRAYqCXnWMlWyBad+oHndqdbGN1JjgaXLJmtIx8XGf+aSPMLs7wBFoNtBEpcLgzMGciSZ4vbqHr16jqAC6XcP7Mg75BBJy4gSvwZiHJBKDAM4+QDl/wNN9wgU6dOVfceDtRTqXSfsRECI7mkRPogmnJhjISYiLhYo0YNvUZYzJHH4lRgeTrXaSC4WBFTnVhMHiuCMa/xF1Y50YdQnBUQfUDeO85Q/+9ANj1Z46HAMuUEdKCTGscqv6mIQOrZs6c888wz+t0CwcU6f/58FXNxwNLkEYc288Q49Th19og5ZKdcvWy0lChU1NehO720qeVp0oCQSgm5P7gVnQuVbNG0NJIJBjspRDpAIMxIKb/LZnXv53JREQvBiXiUpWcEslB3H9ijwhGZqyk9Dyivh8qlKqjQlBpO6HPCH8Jnl/pt9Pb4JTNk/c4t6rgLbCDGgPiv2WOleKSnJA4xyU1DpZLlJCJ/hK95mH+DLRejMGu1p8w/EHJZYfnWNZqLGioItZt3b9P51LZ2M8kIy7esTbQsHXzHdd51NCWn69ZTqJy/cAHPNunWkcByfuZZYLMQ51oNtZw/0k+8Z7tyjaFCFSTZX7lmaWQGhwMXbeEarqXmRC3h3U7INzaMzASXDflaM2fOlLlz52oZc3YKqDQeIvsM5wMORX7g8wOeLK+KFSvm3EHbvJ9E9seIFKsk0uRcyRW0vVqkcAmRHStEFv2ebZPBfppBXJMmTXRZI6zihh4xYoS6oxnMZ+e0MWBcunSpThfbCk6ccDS1MgwjZ8DvPvIhOVGH0ESZNE70k11A5XtzEnXdunUq1I0aNUpPHPE3x1oE0+7du2vESefOnXUfTbUAbv0ceyzOALhQEUmrVaum+3qigtx353vjviUjl98no0eP1t9MnPzDwZpZ7NixQz83MJOUvzlOhgLxTFR6+DcFpZSf3FSWNycMxo0bp404+axguBJ/IgGI42Fb4RhtnHqYEzULcU2JyhdJXKKVHnifZtXqq9ty+LzxcnnXc1RcQUD7feZodTKWjiqZYil7WmhRvZGW4M9bt0TObdsvTQdUskGXbfaIoq29rthG3oxWSsARfZ0TFVGJgxl5rp0zkM/pSvkbRNdWgTC1cn5iBFgm0aXKy/74uFSFKoQ+4g0Q/lz0AA2e1mzfICu2rJWfp/6jMQgsA9foicHGv4umaAxDBa+zj/myaZdnGqJLeUoJEFERnYk/GNS6j2/+D5vzn4qkzM/AiADEX1yMZGnS4Kl+CsKxPxOWztBrslb9nYtphfnH94I6FROLqDh0mUess6WKBj9bx+NOkK5Q/OQXUZ2b1LlLHYjxrEt6FvzwwURZvj4nqtfFmnpjqcTLs0xUKRXMQxVRccOyPTI9qbmz09pcKjUnqhOMS3vXF3OiGpkFzgSaReGsw31AqVZ2DYrY7nG+0L2dQQHCKV3ey5YtmzvKp2lsMektz+0ON2ZqvmhYKVTMM71jnhf572WRRoP4wZatk8Q6SM4tFxxAOJEnTZqkJf04QBkIZsd6yue/++672mQDcYXSSEobERkMw8i90PDuuuuu0xM2iEo0sjuZIRM0JiZGu9xz3EUA5CRWmTJl1P3Pbcu9PIFzoXJBXAVcncw7BE5EVQRonK3MQ363cAnMb80uXnjhBW2YiOuUfFQHJwcdiONNmzaVWrVq6fN69eqV7PsxDxBPaV41ePBgueCCC9SVarnhpw4n96mlk5xuDdr5yl1/mvq3ulIRUDfu3KIi4Jkte4Tt7GHditVVlEFYWeHNvgyVWWsWyvGE41rG78qIuUZU4/6lm1apQ5fcVkRgskAz6kSd7y3lT0lEZsDqyvkRH/PmyaN5nAe8WaYpUbpoSZ1ehK1dB/bofQxy+zfrJqWKltAohZELJuo1AuO2PTvl1xkjNDcVzm13ml6v3LpWlx/Zp05YdS7dRRtOOFERsZh/TPPcdUndwHw2gjGQKRsKsQf2+iIPMtJQCjbs2Kzfs3BEQalUInE5vluWzi0bDOY/wj+ULxGe0vGcjHOHBzpR2V4RUiEu/lDQjvUpOcvZdg4djk+SiQpOCCUXNRRYZ10UQEYyldPjRHXflW0J2O8ECs6GEQ73KT+YcZ+SRUn2W3YIU+zXGcCOHz9eOx/jgKWkjLxThNRcIaDCitEi25aIFIwSaXOF5CraX++Z7phFIitHS06CQRnrKeWDuIBwh+H+YdDq39U5K2H9pCFW3bp1ddree+89c6UaRi52nzZq1Ejdp3QyPxkFVI3U27dPVqxYocd+BDBOWFKO3rx5cxkwYIB06dJFGjRooOKfCaipg0BKlihuTJy6zEPWI35HUUlDh3tK7ZnPVNdkBIRZ3hfh2x/+TinPFMjyRkTFOcvxKiU4SclncXxNDX6bceKBYyEnOpkPfIZxamAiai4GoXRAi+7qtMTF99fsMVqejRAzsFWvkHMPQwGRz2WLBhPxUjpouWiBwCxP/7J13Jo1y1fVvxHjMiKiIsS6mADcocmBeOlcezv27tKdIS5Id1+qrmJv2fmW3dsSLROcupTwI/rg9Hzzn8/li/G/ypptG1WMIsO2e8N2Wrp99Pgx2bZ3hzpbnWPVzReWJS5dR6sajRNFIwTiREocsqEwafksFbFrla+qTtaM4Mr1q5aNTiLcu6zUwDJ/f5wLtWSR4hmOn8jNjaX8HaT+6yHiKNuF/2uD4YRXtlcE7aAiaoiuTlfKH6xxXWY7UZ1gGlWoqE9UJm/YMMLlPr3zzju1jIsGUpRv1amTtoZ84QDRiXKwMWPG6I9wXIeUcTMIIWct1zHR60JtNUSkUC7LCIssdaKp1NwfJKcOWBng4Y5hIEhuIQM2SuzJi8sOVyqNPX777TcdoPbp00cHkoZh5A44eUfjRPK/EVJxoAbmReZmGIPikkQYplwbdyHOSU5Gsb+iTJ3MZ05WmmgaXlGV41SPHj103rKeEZHA/EdcJZqGZZMWyAWnsRnL0aEVnv/+Kx06dEj2dS+99JI8/fTTKui2bp26YYhYAtYRYpNCBVcqx2Iy9anSQFilgsQ4uTERNZeD+HV1j8HqXqTZEaLhxR3P1GZH4YaScqCkP9TcTYRAxBhKkFt5cz0dvlzUDcv1um4F11zqqOaEhuIIDQbl7K55U41yVVIt5S9dtITE7N0pefPk9ThRUxF4HC670wmAjhJFikm3Bm01ogBRkAMF4iki4sWdBqrY6XGOekRPSqwrl66QSOxyLl3/RlHkojKNa7dv8rkE/XFNm5ZsXpWqIwRBbtKyWXq7a4O2klHW7/SIqNXKVEp0P9/diagusuFUz0NN5ET1ukaDujX9BHQntiJQpxRP4YRXxMpA91rZqLSJqNv2uqZS4TsZc+K7pZaJ6sklLlSgoG6fYCKqEQ5wneI6mTZtmpYt3nXXXVnuPsU9uHr1anUTLl++XGrXrq0ZXZSQ5dqB3Jb5Iqv/8zRlojQ+OxtbxW4U2bFSZOsikU2zRdZNFdk0R2T/NkZdyb+22fme6yXDRA4nbe6XU2DfzgCva9eu0qZNG204xgAOIT6jbp/0wLrLZ7MeI+5+9tlnaR4gG4aRtfz00096wo7ybPIdEVNPBtj30AwJ4RS3Kcd8ys75rmRdtm/fXhv2ZVVDpFMZSvv5XUMXe05ac4wge3by5MkqfnICkAZWocLvNcrnEfwRY2+88UZ9vyuvvFIfHzJkSKLGU2ScPvroo/Lpp5/qMicmiYv7TK7vvfdebaDGCUCm6ayzztLppPIjrcfl66+/XhtP8fuOaAAcz8bJSy79tW74Q25i/+bdMv1z6lSoJiUioyQ2bp9mjpKjmRrOhdqiRiOfo8zhclFXxaz35qJ6nIr58npWyxUx66R5tQbpzkPFOZtSGSSxB0BuKaIr4qdzkNJcKiWxChBcYee+3VqW7YQx3ut4QoKKnu1qNZODRw5pBmZgSXTt8tVk+qr5KsJWDCiBx42K+Lxw43Jp5c2RJfMU4RXnLvm0Z7bqmeg1NcpV1mmgVBpRMyUhffaahSoWI/I2rZK8WzdU1m3fpNdVSycWURGI9x+K03kZKLD648tDPWVEVI+bNJ4Bf3JuTb+TCKHnoR5MJFYGc6ISP8GJCud8Tg4n1IerqRREevcBBw6l5kT1zJeC+SO0pJ+TKrHe2AzDSO/A6n//+5/mnz7yyCNy3333ZZt4SqdbBnAM6si2zDXl+ikx9UPPNXmiJT1VJZkO+0/E221LPTECXHauTlkoZb8XVVGkeCWR8o1EanQWqdTCc390K5FSNUR2rRFZ8rdIs8GSk9G8am/uHM4eylQR5nE016tXL0sboxE58MEHH8jZZ5+tA1nc1WSn4lY1DCPnwIkWxCjyIckCP/fcXNIAMBUQ03ARcuE7cmwlU5zS7JO9MVZuACepy/mmaRNl+Bs2bNDjFscP3MHR0dHauCk5yB0lw/axxx5TMZQT4jhMXbMpKnv8lzUxM1Rp4A715/HHH5cnnnhCfwMieiLKIryzzlANhHM1pelICcRaXLdvv/22Csf85sTpfTI2IDvVsb2KETLsmNrXaaG3Jy3ziKMpQQMklwHaqW7LJI8H5qK6hkRuPJnekn6Xh+riB5Jjo7ehk+uIXqNsFZ/QG0pJP2XXrnu4c1ICoqHn8UjdaSJyB8uULOt1+CHCBpZoO5cuObf+tK3dTK9nrp6fxG1KCXc9b0OplEr6ERP+Wzxdb3eu1zosPy7WewXpamWiE93vlmHNclVSFO1ivPOvUsnEYvLJ3ljq6LFjSVzdwZyoTlR04muqTtSAExZOhEeE1eY1IXS7d+X8YXWiFgrRieoVjXGiFo8sqrc5eWNkPfwIxV3Gj1wulE39888/vsc//PBDzcLiMUQdfogG+1HJY/4Xyn/9wV1ASVSLFi3UJRpOcOoNGjRIQ/9x7OFUyMoftOyryQRD4NqyZYsO7CgjZMBwUgiox46ILP7Tc7vNVZn7WRz31k8TGfGYyHvdRH64SmTsSyKL/hTZvtLzOPvXwiVEosqJlKgiUqaWSLGKnmZR7G9jN4ismyYy/VPP69/tLPLHnSILfxVpdJbncxb8LLkJmqC0bdtWt0VX4og7lOYpWQmDxnnz5mnUAKWTdG3OStivsE2Rb+xgngTuf2644YZEr/vjjz803xXx+a+//srSaTZyPifDcRBw/uHEJAOcS24XUHGY4iDE8cc+j5NJbMPshzjOUkpuAmrOg99fCJbkvuP4ZJ2n5B/nMBmqHD+Sq6i85ZZbZN26dXpsYxvhPRzEBXz++ee+v1k3GPMEXhBQgZPZfOa2bdtUbOX5bMtOlE0vbNs0KWW9ZHpYHxF9swo7DmYN5kQ10kSHOi1k5PyJsjJmnQqHKTkH/1s8TTM/EdaqlA6eLeIcl7grXbk/IiRiZnpEVFyg7nXNqqUsom7a5dmhOXGP5lYIWLyHc2mmRqVS5SQ2bq8Kss75uf+QpwwwyisYJYcTulzZtD/1vKXvdLb3p3HlOhJZoLAKSsu2rEnSrImSfuIWFm9aqXm5wcD5u3l3jLpDO9T1iOIZZf0OrxO1TOLlHEopv78TNZz5mzkZRPX8+fKpiIqLuaifwBwZRMiP9zZacuJrapmowZyoHDDLFCul6z0l/SnNa+IeXMO0sGai+r5bao2lPOX8BfIX8J2oIMPYyHpwDfCDjMxQ14CCcicGYDgpyRflByIX/zKqQJ566im59tprfX/7O9RwD5BbhTOGH8+UZi1eHHr2dkpQNkb3VRwLTHPp0uE7KRBqwyjKztj+GIRThn1SCKf+rJkocnC3SJEyItU7Zs5n7NsqsuBHkaV/i+w7kUMuRcuIVGgiUq6+SLkGIuUbihQtd+JsrD/Hj4nsjxHZs8kjpG6YLrJmksjBWJHloz0XV4GyfJRI3E6RyKxbX8IB2xW5cZQjsg0h3HM7K6MiWMdx4jz77LNaxvnyyy9r2WVmr/czZsxQN2ywxiHse9gHOfxdugzGb775Zl8MwVVXXaVuJJxThnEyHAfhq6++0gxwtkW2zZzSNT097NmzRwUvnIyUjFetWlVPIqXXPWhkH+xnOcHAhe0IJzG/mXCIsly5P1dmxBPD17KlzJo1S8VKfoN+/fXXGn+TmdhxMOswEdVIE5S8N6pSRxasXyYTl82U89r1D/o8XHQ8Dn2adEr2xzOOyzGLpmgu6jltPfkjiErq3Nm2Ic3TR2d6hFtKkFMTfygRBne2i3L4IoUKy459J9ykqVG5VEV1fW6N3abNf3CDutfiQE0OSrVd+f/W2B3qvPN3ozrR0WXDOgcfgm+rmo1kwtKZMmnZzKQiqjcigfnATjDYfB+3xONCbV2zia+JUUZZv8PjRK2ajBM1NRHVlY6fKiIqFMxfUI4ei9O8U/91xS1rf6HRZaKm1FTK8xqvC7pQ8OVaNqqkT0RNCRqtsf6wjjqndjjwuWxTEVHZB7hyfvY5YCJq9hDYpZfBF64cMqQYPLoz3TgAUoLBYnIdVAngL1GihP7o4znhyHVkv454ww9Gpvn222/PMvGSbYeSMwbA/DCtX7++lqqdtI6YxX94rhuc4clEDXEeMW8OHTqkF8r7uI/l5u8Y2bN1vdTZ/IckfPyIHDl+RPJIHjleoIgcqtpVDtXsLccqNJOChQpLoUKFdACdosOYaStWyXOp0kakyTkeYTVmsciaCZ4S/t3rRPJGiBw/IvLjNSJnvSFSsppkBQwWcdgEgvDxzjvvpOm9yDnELUdTFdZDnNA4TPiMrFgPWQ6UXOK4vvjii7W8n9JhtvPMgGy7Sy65RJ18zzzzTJLHGSwmt/9hPWR6GeQCYjP32eDRyO3HQVfmjnsPZ9mPP/6ouaC5EY4NnJQkEod5RSUHJ2mYZyfdiclTFPbTHKc4WcFvKI6HHDuIZKCpIs7i3Lascad/8803mstKRRT7CpywmXFS046DWYuJqEaa6Vq/jYqoU5bPke4N20uZqJJJnjNx6QwVQmgU5ErTg+E60eOOZMeI+IkzEyF0VcyGZIXA5JgXYik/bPKW87vSYpykRX0iT2giaqmixSWyYGEVhXBTRpcsfyKXMgUnKuXvlFfTQf3gkXhZs32j1PeW4gPCEYIiLt3lW9dKi+oNfY9Rgo+IunDjCtm1f49Og3/Oav68+WT3gb3qFK4YUB7P8xdsWOZbjuEAcQs3LlT1yz1FGKYJFtBUKyV27vc0DQq2Lp2sIIgierrSdYcTtv2FxhOZqBEhZqImI6J6c1G370tZRKXRGrAOhvMHi5su9g3upEMwnPMWEZftBNw6ZmQfCF00o2BQllI31GDg4iFnCmcBosqdd97p+xFJJ1cGjgg//GDjB2BG4Mf3ZZddpllb48aNC6kja7hgcEcZNU4ZBgL88D+ps7AQIV0pf8MzdaDrL45yCfzb3Qcsb8RP1gX2NQh8en38iJTfNEpqrvxN8h07KMfz5ZMDJepLTOU+EluqqRzPk1+O7z8ux5ev0Pfiok0cIyJUUHWiqrvtf3Gfp7APqtjEc2l/g8iqsSL/POTJV8Vh+/kgkY43ibS+0pObmskOErYxB41R6CA9eHD6s1kZfHbp0kVLCRFTyeNF9MkqRzQiKiX9l19+uZYo//DDD+oYCzc4aE4//XR1+QQbPDKIxQXEABJBjGYjzoXDIBfXn5snvN6yXI3cfhx0+xD2H4hPbIcIj7kN9u2cBMJ5yryqUaOGzvfc7KQ1Ukb1gHLl9MLvBZY9rm+3/Cn/z01NOPk+V199tUYPkOvK79LvvvtOHe7hxI6DWUvuWQONHAOuwnoVa8qyLavlr9lj5IpuiTN1yFscvWCy3u7btHOKP9RdJ3rEwqWbVmrzIURUclIRmHDMpSWTcf56j0DYNJVSftjqzXzctT9WHZ41yuJE9exMDh6OD6n5DlQuVUEdlxt3btUIACcOBculdGzYuVnnS7Wy0bJ082pZFbMukYjqSvp1vmxenUhEJUKBZcBnTlo2K1GDKYS52hWq6Wso6Q8UUUcvnKQDTZZf4GPpZf2OzT4B1F+8QxhmOZYsUixFcdQ/o/NUElELFyiYyHXpIK4h0Inqa7SUajm/5zWFve+RrIiaihN1m8tD9T4/XPg3lyN6IKpwcJfr4SPecv6IArr+gDlRsw9EQQYt/JildO63336Thg1P7JNS47bbbtOyplKlSml5PeWOZIO+9tprvud88sknWsrID7qMdM1loEiZJULN7NmzdUCaVdls5M3xYx/hlM8/mQd57LcREeKW/Cvl9m+To/mLyL8r4+XQEo+g6gRMfyGTZeH/d7LO0Q0zRP5+TGRfjCQUzCPbjleU0oOeltJ1ekjpZH5P+DtbA0Vb3Jj/Z+8swJu63jD+FQo1WooVd3cGQyZsw9nGxgzmytzdfcz335i7+2DGhowNGbKhw92tlAJtqdJi/+d3bk5IQ9JG7k2Tcl+ePCmV5ObaOd973vf9XL/H71KAYRFExaQfFAwVW/YTqTVG5JX2IgcLRfbvE5nxhmHvH/SMSErwjRi9gQZR7oQLNnyIyGDAXIPCiMIJyzCZpZynEDZcz1aDz4UKjkziPn36qIZTkKpmAfsz1zoktCdAVlF0k8GHRfSBBx6Q1atXy08//VSs0QgKIUh8u3C0EenjIOD85jqDqEUVHkmkE8DazaIPakT2GYswkahEtBEcmCvg5kGhihKZc4L7N/MsHpGklGShhHEKZTiL+9xD/F2I8QZ7HAw9IuuOaiNsMPT4/vLy7x/Kwk0r5ISWXaV1PcOuTXHy7azflJKMZkJdGpc+wXB2ot+6VhrXaiDzNixVRBIE3MZdW30mUckJ3ezI5uxYgvpVbyeWZQ0a9kDmcuOAiET5B4lVNT7RZxKVnNEmDjs7ZKK3gT67IFcpQvk5dnyDRN1y1O/RJGr6qnlH5aKC3m2OV+/579r/ZFDn3irf1DUXldekKVW/Dkfy6TLz9sqctYuc5LZZ0PvcvanUOkceavPajUuc9OTsy3NmYNKJ/VgBTZ5cCVINTUSTzYuqi3PSVZlZEvgb4I3Ar5VY3WsOryt2OuIVUkyOV+CzQKSynSjAvZGo++i67dhHSXHGNWg3lio7EDIPOYm6csyYMaowYyXd1wKSTsAaEDdMem+44QZ5/vnni2WYBZtX+uOPP8pVV12lilMeoSi2GEvI8Fq+fLmadBLeX94mn3xGbGIcfxqm6GfuT8ftGK1+Z1+TPtK914mq8OeYBmQZR9U650ORf97hTUWS6sjBXjfL7A0iZzTt7Tnn1AGOtSZnS/ssNJCACOEz8TnIH0SleeDAAaXGgFBtU/s4id25UA41O1UqpC0V2blS5KvhIr2uNxSrPsYWBAq2EcUI145Z57FauHUUUWTOYT2mCKU4tZpg4Xy47777FBEyfPhwRUi9+OKLQau0yUQkqoMMVm/H/vrrr3d+3bFjR0Uo9+vXTxXjkNQaoVpwsRGZiJRxkPsyalcWLchBxUIcScjJyVEuEu7LLPycfPLJlsWA2IgcMIag3ERNzcLomjVrZN26dSqihvt4sIsOoQILJCyWENGDYpRn5q3BwB4HywY2iWojINSvXlt6tugis9culI+n/iA3DbhEGtSoKz/Pm6SaCUHqXXLS2T4VUs5c1G1rlBIV8Pco9Dakb1Pv4wuWOWzqKEpLIz8h7jQxVaFCRalfvY5zW8lt9IdERd1HF/F9RYWyPt0gQ6uUYOXf4Mh6pRO9zgpdl7bZe3OpHUeTqB0atJIaVZKVgpPs2b7tTyiWi/rTvEmyYtvaYn+DOpiYBJSqPMzCkTzUI1Z+oInh0t5rT45h5Sd7s7TMz/IEzhlPSlRIRopdin3IRtTRvmai6tfSr+0OnTmblZd9VA6vKzTJakVGLQSvat5GdnBVLySHg1Rn+/Q1mJ2f43e8hw1zQLFHcxpA0xpWul9//XUVXh8IsDRBWKGGozANFhSNZJ+i6IF4QokaClBMQwahyGRSCjkV6eenJkxdyVKe2ceaYKSQQVGRWKWKVHj1QfV3VXpeKlI9COV63m6R8Q+KbHZ0pO4wVKTvw3I4qpLIxvEmfTqDSISw4EGxoO2tfG6UT3xeHjuqd5emOxfKro3LZV3n+6X11tFSddd8qTDzbYnatVYqnPmiSLR1TUx++eUXtR3BFleegEIaEgdCFUUKmXMcz1BY/Cka6ajMNcrCA5bGYAgSmnbQWRmFn6vdevr06fLWW285c95cobs5U4C7Fo82bETyOAgYiyB3uS5mzZqlxqVIQWZmpiJPd+7cqcYYVOuhUMrbiCwwRuFu4KHPGRookjvP9RkJ5wyfATVq27ZtVdwG4zAK9EAXM+1xsGxgk6g2Asb5PQYpAgzSdNSEzxTxqcmPc44f4LQOlwadi7ph51ZnlilWeuN7Rys0vUFnffpi5dd2ZhSoFaKiVJapqxIQi79rd/TSboZNazVUzZzYF+R/eiNRKUQ3pW9TXzdLaaSyS8G6nR5IVIe9f2P6NrVfXdWmEL4oUL+Z9ZtMXvaPnNSqm5MQw6qv4wqwQENC0bgJwhsM7nyKmIkjStTiJOpaBzHconajEv/+WLTy68ZSQBOk7mpNrPkQ+ZCoTjt/CZmokABOEtWLYpXX4vzmdSFKG9ao6/F1UIZbYefX28Axp/mcJ3Cusw1aiao/CwsAXJMlNWyzERro3MtAgZqH8xxrXrCA8KNoJC8LiyRkUKit+0xGI9m6TyFPjiy5mRSwfD4IRh4UJhTiqGuPWhTdtkBk71aRygkiLY7EyviNbfNFxt4jkp8hUilWpP9jIu3PNn7miPawGozj2Pt5KGK1+hUiKz+QlIJ1crDdcZJev4XsXj1eGq74UKKW/CYF29ZJ3sAXJKVhi1LVr4EApQoNYCDmrQLHF5UXKpZQWvzJCv73339VAwyunbFjxwZMIqGkYSHDFeS6Yf/EruhJ6cr9B0Aa27BRHsZBgO2dxQkWJSB4yUOOBJAjjjKeMQhVIQstkaIqtFG2qFatmopO0urlqVOnKgKe+38knEOMX1yrZ599tlpUxJLPZwrkdexxMPSwSVQbAQNS77q+F8rn03+S5dvWKvIDNeElJ50l7RzEqC9wzUU9fPiQUykKkUSupi+AdFmyZY3PTaU0iaozGhvUONKtTuei5qKU8xFNUxooEnV75k5pVKOeV6JnW0aaIrp4X5puaYIR1aa7yo59AgEKEUpmatv6xgq4RvdmnWTSkpmyOydT2f4HdDzJuf1EDPBeRAF0b95Jfpg9XpFQWP1La/LkL7bsST1KiQpJR7yBtvOXhN3ZhhK1xjFGokLge1KiAohOSFTd9MzZWKoEOz/H94CjKYlr9qg7OK9QQ+/yQqISN8H7qdVeC0hUTYp6+txAL8Tw/txjeNbN27D02yRqaIEtHjKHRhhMVL/55htlA/7jjz/UzyHeeLCaDZjIQbjx++SYQZagPENVwvf5Pxltl112WUCTRVdA+lA0Yn9kIhqsDdIXsNrP5BOyLZKt+3R+hjDl2FG8UnBgnSSni+Pmkx1fN5RqNVCkUoAFy+bZIj/fIoIzpFYLkSH/E6lRPB+8TFC7g0hcskQVZEk9SZd67Y8Xad9eDnc7RQ79fKtUylknFX6/Rf5ueI3E1mqi9h0P1LrBqjkhQ1DWuGaVWQW2lWuVQkpb/Cm8UKZYqUqFwP3111/lkUcekV69eilF6uDBg/1+Ha4/94UTrk3uBXwfqyL3rDPOOEN9D8UP959TTjlFEcY2bET6OAhmzJgh559/vlxwwQVKHRsJi3oo/1mMxLaPKp4meq6xBjZs+AquKVSYLMYxjk2ePFkR8kTVhHtmKmOt+6IiY7A/sMfBsoFNotoICqgfr+93kbLnQualJNUIyJKtc1H35ueq/6MErVettmxM3+qThTerMFd1eK9UMVrljPpKourGUdj5NarExB+VSVka6CAOgczv78rZ41UJqBWnkK68btOUhuqzQZSy/1xJK74P4Tl/w1JZl7blKBKVv0dV+tXMX2XSkhnSpXEbqZVUw6liVSTqjo3q91DIsm/O7+l/kVIatu1x2PlrHCFRtYKYz1NaJALHDRBPcCxBW+41QeoKSENNRnNO7Xcos3WOakl5qDQ141h7Q4qDRNW5p+7QKlSOhy+N1fyFVtN6+tyu5GrligaBCpLjExWJiqVfXK5VGxIS0vCKK65QDTAgPphwUThS8ID33ntPnnrqKefvMykDn376qbIiUxSxuv7kk08q1Q6dVZm8uebDBYKZM2fKueeeq/IVR40aZXnRiDqT3ExUe3Q3Z4IeSdZ9xlEUP7rYx6JP8Q7xx+dBfej351nlsNlr1ai/2DhL5NfbDQK12SkiZ/3PUKKGAxj3m5wksnKcyMaZIg2OV9+OatxTKl76jVT88QaplrtLBuz6XFI7vCype/cqJQwFmyZUUYIFkg3LtYM6jS67oYK2+KPCRdXN9U5+qZWqVNQxNM9C6QwBRDdgmlqYeV1xPCCkuUdgdUZZzXs9+uijpr2HjfKPcB0HtWqdplWvvPKK3HTTTRLu4PNzr2QRlMWbvn37KsLHho1gwXnEQjBROJCpZITifMAxFM6N1Vh8JcKHcYlFRe4VgSwqeoM9DlqD8D2jTAYFD6v7riDM+8EHjTwvG8EB5ZsnVZuv0LmoWMPjKsVIwf5COUTRVwA5mlWq1XvL3jT13KZe81Kb74BdOY6mUoZrWCk3NSCBIaEgrlAC+qp8q1VVdz7PlIOHDh5FQEFOYaunqGqe0si533jvrXt2KDWqu/KP5lyQqBscWavuOL5ZR5mzbrEiSb+Y8YvcefpVikTD0o/NnyZdS7ascjaTMtsyT2G+PTPdmfF6VB5qKSrUY9vOX9krmaibS0Ec6uxe4Brp4A4yeQHnf0lFaG1HozZNlroj3bHAYEUeKqjk+AyaGHaH/ryuizEQ8amZ6c74CxuhAwVaSaAo5OENqANmz55t6jYx2UTB8/LLL4ekaESpCbHEBB0lUaQUfGRi7dmzRxX+qE5pVgQ5RwFfu3bt4FQ/WO/TjbFFmgXQPX7DdJGxd4qgPG9+mkGglrBIVCZoerKDRJ0h0vvOI9+v1VLkkq9FxtwgFTI2SoO5z0uDi76QgxVjVMMLSGrOF2IS2N8QquxvXxQxLJpBvBBRURZFHyoVFNZalUpmGwWolQsGKHAodM866yzVpI3rOqDGZA6w3RoUizT/sWGjvI2DzL9pIPXaa6/JuHHj1HUbzuB+iCIOtS7q3N69e9tNbGxYAiIt6HrP3I3F7w0bNiiVKornYMYWK8GiIrwUylEIznfffVct3AQKexy0HscMiQpoPHHdddc5/x+pNrzyCGcuavpWaVizrqzZsUkRJ7n78pSqsTSCbXP2DpEo8lB9y9XSStSig/slVmKKKVG1JZ7mO1j6fSVRk+OrKgKYUmPNjo1HRRos2WJktmLh15EBxv8bO0jUzdKrZfEmWropkyYl3UFhc+nJZ8uLYz+QLbtT5ZOpY+TS3kOldb2mSpk4a/V8ObFVV2Xj79fhRDEbxC5A9IE6LiQqpC7wJTrgWLXzV3aQhJyD7qC5mVaiarJRW9u9gYWHkppKaWhy1JsSNd2Zh2qNNbqygyjRtn137Hd831VNmxTnaC5VYCjVbRy7+OCDD5R6hwZSVncdjkT1KYU1xCmLxpCnKAwh8Tp37qyUkcF2Qy+WYwpqNBdJ8HPBZf3fBoHKva1lP5EhL4tUDEP7adPexvOmf41tdV0YTaorcv67Il9fIpK+WmTcA1Jx6ChFlvJAqYbaF0IV4gBSFYKSIg71lbfjgFpky5Ytcs0110hZAfJWN0pju1NTUy1XpZJrRyOcQYMGKcL/k08+CXsbpg0bZblAdtttt6lIDKz8ocgCD2ZM4j5IxAELd1iWIyWv1UZkg+ZTqMKZCzGX07nfoYh+CmZRkTnEeeedpxTw9957b1lvkg0vOKZIVEhTigl/LAeuoeFY4XRhxSMQ6L8L9O/LK5LjEhVpgzouOS7J2cU7t8AgUY9r3M7r33KMtmbvlPjEKtKuXguf9q0minRUQK0q1Yr9XUzFymqSsjcvW2ok+GYzz8nPlcY160tG7l5ZtmWNNKxe16mK3bw7VdKzdkvFChWkRUqTYu+lbfA01nLf9kbV6ym17Lq0zV4/V5XK8XJhzzPkixk/K9XputGbJTEuQdKydqmMzITKcXLZSUPl0MFD6mHmebp1l5GHCuFdKaqi8/chkdm3jWvUK/U1yObkM1aNSyzX14X7Pq1w2JgI88gryC+mMq1cMVopkrLzctTP+J2KlWJK3D+5+bnqb/jbkn6venxV9Xs7s3apa8d9VXb7njT1c+z8VhyPihKlXr8AgtjD6+8rLDRiNKIqOH+eFJtgkEM5mcX+xoz7aXk+58oTOP7YfV999VUZP3680y5pFSAi//vvP4mPj48I9akaB7duVeQpX6M8oGkQSh9LiN8tc4znhj38+7tda0R+v8cgJVv1FzkTAjVMp6KOXFQpyBLZschp6Xeian2Rc14X+eEakfXTRGaMEjn1HvUj9jlqGB7km5FBS/YfGYDkkXF8IFSx8bli4MCBzsZ6ZQ13VWq7du2UitmqhQQ6K0Okkj1Jo40xY8ZERKdlGzZCiX379iknxrJly1QzRe4j4QoaP0KeYq/m/kFGbLgvRNooX+B8Y0EQYpIFTfJH+T/noxVNIc0AzdVokkWGKQsQL730UtgqaI9lhOnM1RqQvYT1gZv4JZdcovJoSrJLIat2zbjRmDRpkiqsggE5HTaKo0LOAVW4VlBaTpGszCzJL8yXKbOnS9xu7+RfWu4e2XegSA5n58jqBctkbdSKUt9r2dqV6vnggQNS6WAF+fOPScV+nl2YJztyd0tcdIw0qlo68U70wLqMrXLo8CHJ279PNhwsklXLVkq7mk0lf/8+Wblno/qdBokpMnX35GJ/m7drr3qes2yBjI92ZMy5qAvzC/Jlc0G+/Pjrz0rp6g0dKjeUv7f8J9uKjIZYFRDOHI6SilkHZMqfxd/TrPN0xa4N6jmhQqwiNgCfd/UmI1x/7cIVsmWp8bU38Lt8xrVLV8rh7eVfaei6T5dtX6bOmej0QomNPnJsWRRYu3OtZG3fLXvW75BVezZJlcpxIqnem51t2rtD1qavk5yEDBmf4X2Synm4Y3uqHDx8SEb/+pMkOlSvgOJ91oo5Unhwv6xZtEIy1hgkuZlYtmOVbNu1Tebum+fx82zP2aUsnfl7sp3n1KZtG9S9YfaCeZLo4bMFcz+luYGN8AaLCGS+YeOfPn26UslZBa4B8trWrFkTEitzsNuKXQ3ilIk2GadY1kpSOpqGLfOM50Y9ff+bfdkiv94pgmq+yQnhTaCWkItaDPW6iAwaqZSoMu8zkZotRNoPPerXaNwFSUgTCa0Uxl4HyQoJQlEXjpltWpXKObVgwQIVV4Aq1aoMYoQO7BfyjslKxKaMmsiGDRui1O04MFiUIRc8XBWdWPcZRyGtWDDq1q2brSy3UaZgTkSjqQYNGqgFCJpPMcfDYRSOBCXXjLs7IxIaxh1LCL8Zm0WgACOThhwWVu7otIi8G1WLN/A7rqHfKFEZDFAKuKsH/FE9UfATRm5fDMVRZVUt2THpS8POmyFSJamKFOUelLgaSWo1xhtGz54gslzk1C4nyJAzh/j0Xu+vHKueY2PipGPztke9Plb4RZtXquK5Z/POpRbR2P5rbF0t0RUrSovaTWT6qrkq67IoKkoqHo6WDvU6Sv1qteWElscddbOusLiKjFk1WfZXEo+f84t1f6j4gRbHtZXOjUru2HfJweEqozRvX77MXb9Yxi/+W6o1TJEzBnvff8Gcpzmzx4nMF2nVsJlz2xduWi41NteQeskpcu7Zpdtt31w6RuIPxcuQgadLM0dWbHmEp316aKHRdf60DidKdZfGWsQ35C04LHWq1pQTWnWVyuuTpE5yLTmlTXevr0827r41USoaY1Anhw3VC1YcTlVK5U49uhRrWJaZt1cmZy5WKtBLzh1uSWOp6KVJkrl4n7Rv2UHO6Hn6UT9ftnWNrNy/XRrVrOc8bysuSZQ101KlXuMGxa4RM+6n2mFgIzyBqhLVDWoWq1U3KHxQnxK8f9JJJ5nSNdmqAhXVKTlf5JyyMIxaNmSqvUMHj9j5G/moRD10SGTioyJZW0WS6oic+WJ4E6il5aK6ou0ZIhkbRP59X2TycyKNeokk1vb4q8wlID54QE5yHMkIpKjj3EbpGewivRVge1GlYu9HlUqBx3zaCjC/ZgHt8ssvV2pqGvhQ6NqwcSyDmhWVNgsuv//+e9i6I9hOxmtUfly/LBTZsBEuYHwlPgarPK4QFjTD1eLv6s4gM9x2Z4QXImAG6x00hXrxxRdL/B1sSFipXMlQLhZWxG644QalNvXWXIHve/oZxXqwBKgZr1He0KVpO1Vg5BbmH+nSHSWyPXNniftqsaNx0nFN2/u8T3c7OsJjr29Qo85Rf4f6gsxKGkTtP2xY4ktCYV6RWuVKTkiSlOQaMrBzb/l7xVzJc3wWmked0Oo41fTJHc3rGMTh1j2pHrefXFQaYW3N2CHHNy9ZgcXft6hrkAyHK4hMWDJd1u3cHPC5Vtp5qpsQ1a9e2/l7m/akquPYsm6TUt+XvM+95FxGidROrnVMXBOu+zQhNk41Ujooh4t99irxCYps33/ogBySw+rcio+NK3H/HDh8UP1NlbiEUvcjTcDSs/dIRn52sd9Ny96tXqNetdoSF1vyOR8o4mJi1XughPW0nYejEIBVUFEY+uc1k6qrc4oMXk9/E8z99Fg45yIVENyobiA1rVbdoOhEaactzOF4XqCahjhl0k8BTTMeuqlbrjp1x84VIkW5IjGJIiltffubeZ+IrJtqEKdnvyYSF54EdYm5qBDB3hQrJ9wksukfkR1LRaY8LzJ0VKkvzTwUZSpqZ9SpqLZQx6DG5HuQlOGkgtZ5hmwnCxrMrdl+K7aR9/r222/ljjvukBNPPFEmTpyo5u42bByLYKEFAQ+kJE2uwnF8YsETUgq1um3dtxHuoOkji8/a4s8iJsrUcHOEaHcGc+F+/fopd0a4KtCPNYTXmeIn7rnnHrnqqqtK/B0mop7ARBA1ByHD2N9slD3IYGxSq77kFOSp/2fl56icyO0ZaYrM9ERA0mhGNzHq1qS9z++lG0spEtWtqRRg4KdDOq9PpIDull6SEhUkOJpQJcVVkTOPO03yiwokBjKoBMUNOaogI2+vej/+1hXNazeSf9cuVLmo/qBVXSO7DLIMhWG1BPO7YO7ISlfPqCQ19HbqplglITPXiDLg2Lp/7mMBR5osGR3pNeIqGzk9BUWFzkZLlUtpvLKvyNFYqoTIB/fmUqmZO4t9f3uG8f+GNXzPjja7sRTXOkDVrVE13jg39ubbqtFjBWSoDR48WGV6TpkyxTLVDZb41atXqyKV5hxMpMOt8NMEG5YuJtS9evUqW4Jt61zjGXu7h3HZY37qzDeMr/s+LFInfJugHIWUdiJErUAaZ20Wqd7U8++xHwY+KfLlMJG1k0XW/iXSsr9Pb+GqTmXBYOPGjaqTN+c8c1jsh+FiN2RbUcdw/rna+72JEYIBiwNvvvmmyrKj2MV1gKPMho1jCeQoE21BDJ0Z2YiMeatSN8g/a/5TtQGCFZxzPDPnVAIWEVWP0Ry2ZZ3G0rJOU9VrwRvIe4ZAZRGSbbXifmDDhlUWf91EEZcF41m4qVJxZ0yYMEE1nWIsZLEVEthG2SKiSVRykgLNSlq0aJEaiOyTMLzQrWkH1ZQI7M7JlMY16ym14o6sXR7Jzv82LpfDclhS4qv53N0dqzt2fcA50KB6XY+/p0lUCNJapXQq1+rZKrFHbHhKFeggVUtCQmy81Eyspj7vlt2p0qFhq2I/1xb3DelbxR/QmIumVZt3b5fVqRulV8suYjY4LlrZqCdn63dqErV0+90ehyIYAj1cisRQIqaSQSju21+cRNVEKJNZPaF1bTzlCQX79xUjYEtC41oGcb8xfVux72/ds0M9e7rWzAKNrzwRxxoHNIla4cjwVDU+ybmwYqP8IyMjQ+VAQZ78+OOPlhVkKGfmz5+vbPw0qgo0psdKIpmOspmZmcrOjAohLKzeuqmUL1Z+MronPMLgINJhqEinCyzfPFPB/apWa5EdS0R2rvROooJarUS6XyMy56Mjtv4Y/xYHIU4h81F5YvUnm1fn81LohQvBD4nqau/v3r27JfZ+Pu9jjz2mrME028Daz3vZsHEsYPny5eq+f+2116qeHv5e/8zJqR1WbFsrM1cvkIWbVsi6tE2S76iB/EGdqrWUOAJi9cRWXaVv+14SHVXRqT5FKR5O9ygbNnwFFnlU3jh9wlWVyjz4u+++UzE3mkj1p1m6DfMRPmeHheCCmDNnjjrpEhMT1f9pKkXOWrhmnh2r6Naso4yZM1G1lkKRlpJUQ9n5IXc8ETvzNyxVz82SDVLIF2CNBxWiolT2Y71qnol4gwDdJXmFBSW+HttJrqX6G5cmPf4ANSokKoSnO4nawmH31+SkP2hVt4l6TYhpS0jUzOJK1D25WZKZl632a9NaDUr9ez4zqJF4bGYmxTiI0aOUqC5qUq1y1gpOb0BB4KsStYnj2KBSRvmtFQaovi0nUR3EMYsjnnDA8X1Xi3JVh0oZQhkFa2mEso3IBapLMm6xAv7www+WNaOgQQfzAuYAOFPCabJMR2OiiFCekpF5/PHHh1dTDq1EbegDiTrnQ5GcnSJV64n0ewRWTCIOKW0MEjV9pZF/WhJ63SCy+g8j+3Xm68ZnDgCcjxx7ijnIVDJTadSCTTZcFv+xFENoUnhi7+/cubPqG2AF7rvvPrVPuDdg7UeNbcNGeQa5ohCot9xyizz++ON+kZM79+6WcQunyXf//C6rUzeo2ChXRDkW8StWiFavy0tH8Y+vHc19mYsRuwQRy9wrbe8u9Zi5er58+vcYiYmuLO1rNpNTWx0vVw2+UGpXtxvA2YhccO4TT8PifbiqUhkDv/zyS7n66qvVIiYuLRYubJQNwqdqCAF7/+STTyrlCRNTSFTXnFQb4YFWdZooW3el6EqKLElOSHSSqDRlcgUDPKuqoHm10gk7dyt/VJShfKyT7LkgIVsSkMN46NAhr0pJSCgmGUxItLLQX6C4XbBxmWzedXQ39MYOwgtycm9+jlSNT/T5dVvXayZ/Lp0lq1LXixVwV6JqK3/DGnV92hd7crLUc40qx+Zihjdru84EZeLK+QdiSsnA0orV2Mqlk6iorOsm11LHD5VC58Zt1HmM0pOJRL3qnpuimKlExT7mCZpcdY3AiI+JU9vFdQapXL2K+dEUNsJDgYoVkEkrY7ZVxGFqaqpqIEWmKFaucFHOoIglWmDLli2KjKKApqt7WCF3l8ieDcbXDUtRBGZsEpn/qfF1nwdEKoXZZ/HH0q+zYEtDpViRAY+LjL5OZMlokR7Xem0y5QsYCyBSsfRj80c5TcQFZGo4iAB04YlAgW0jx5hts+KaYt6OOptsSKz9LH7YsFEewaIJwh/su74SqMwBpy2fI78vnKIiwLLysouJQIj0Ih7suCbtpHuzTqofRFzlGDUPR9CwOyfD8Ww8WFTX7h9qIOZm/H5iXBXZtnuHZBXkyH9pq9TjzZnfSu823eWM406TwZ1PkVpJ1jSds2EjVKpUnZUKZ4QqNVzckhCpn3zyiZx//vly6qmnyvTp06VuXc+OWhvW4pggUclQIl/KRviDm1TXpu1VVg/EUpyjoRM2d3cs2bJK2fKrxiVK7YTqAeWhspJaLSHJqx0eIoeJA3Z9b5mdqjGSIwc1UGh7NapRT9uBIhfVID/v1KiNz6/bum4zZ7d3SGczu60zYcvIzSqmRMUm5GseqlauHstKVK2o9EQoahKV+Akm0KUpUXUmqquKtSQ0q91IkagbHSTqtgzDyl8rsbpPatZAoT+HdyWqzkSNPiqjGAKVZm02iVr+gGUdlRkT1ttuu01F7qByM7Npks4/ZXJMd/FwmXju379fqQxR9KEyRGEAKRWW2LHYeK7ZUiSuhPs29v2pL4hwPTc9SaR5H4lY1HY0z0KJ6gsa9xKpf5zI9oUiC74UOe3eoDeB64AsUghVzhU69qKYobgLh269nLdEYqDuhkhFPW128xtyiyFOH330URX38ddff6n3sWGjPIEIFxYTb7rpJjnppJNUJirxHiURqYs2r5RHv39V0rJ2qXnS3oIcNd6B83oMkkfPvcUpdvAVEKc0pp27brHMXrdYFm1aoWqunXvSpVJUtKpLIEuJPUPoMnXFbPV44JuXFJl666DLpUtjHxsP2jgm8fbbb8vLL78saWlpyslABnaPHp4dLh9++KF88cUXaoEBMId77rnniv0+5/wTTzyhfpcFN66fd999Vy2YB5L9zRjL4iAOKcaacIhT4rpcvHix3H777fL555+rewWqWbbVRmgRHrS6DRsu6NGis5NcquhQi25z2IxdMWW5QYyf2Oo4v1QP2s7Pa9dOrlni37LiCpgkeEOO42f+KETd0cjRXMoTWayVqsCTUrUkMGkipxXCauOu4vmXwYLJmibtkh2ZlbrJF5lJvgBlbbD7LpIBiQ/crVauitLcfYaSoCQLOxMHfzJRQbOUhsWydhdtXqWem6b4ruoOBKjMfWos5dawRkdl6HgDG+UHWOshReg0j4UfMgbXyLx58+Sgg1QPFjSS5PWwRvfu3TssCFQ+G8QQqjpIZCb8FARhS6CCPeuP5H+WhHVTRDbOMjJF+z4UmTZ+jRQHEbBrjYiXxZ+j0GOE8bzkB5F9RgNFMwAxidITlTJK7alTp6oFh4KCkmOHQgHIXK5dgDqGWAqzwHVCNuyJJ54o999/vyqUUaSiKLdho7w1kYJAJQOVMWHz5s3q+5oUdZ8vfTx1tNz40WOq0SuOtaz8bPW7RIONvfd9eeeap/wmULWohQa1l/U+R9686nH56NKn5bK2g+Xc4wZI52ZtldtM10aQpWd0OVW956HDh+T3/6bI4OevlmGjbpW/V8zxuO02/EN524fff/+9cgRzL+c+DonKPDA93YiJcwdE4cUXX6zGPBSiuHUYA2hqpkHjtTfeeEPee+89taBHxjivicsnEDAXY0zD/cH779hhiE3KkkBlX7FQyTz2s88+U2Qy84Fdu4ya3EbocEwoUW1EXnOphJh4pVLUSkV3cjF3X57MW79EfX1a256ycr6RjeqPErVChYpSx9Gl3Bsg91BbaqLU0w1N26014RoInCSpByWq+nmtBjJvw1KvP/cGCGImQTTgIhfJV3LTHys/KlTeh32x1mHnb123hOYbLtDd1jUJe6xBRx4U7T+aUMQ2BfKL8iUxLr5EEhVCkv3vq53ftWEZCgLI7P82Gqu7vVqYn53rT2MprVCNdlMgqniNvbvVtW+j/IBu5KeffrpqEjl69GinhR+yhJxFiM9gFakQTLhRIKCYEJd152CKISz7qGL5vCgc+PzhEitQIrSVv0Zz77/Dgs7UF42vu18tUs03Z0LYIrmRSKV4kf35IhkbSieQQbNTRGo2F9m9XmTR9yK9rlffpuB74IEHVKfd/Px8pXb59NNP/VZUEvNA0YmVnvxcmkw0a9ZMKW7MVoD6A96bvFLUdBCpfK5gM1xdCdTk5GSntZ9FCNTrvE/79u1N+gQ2bJQNiOuAQB0xYoSKn9MkDkQqynPgqkjFcv/E6FEyd/0SNabwwKmDK+6hoTfKFaecKxXdFqMDQVFRkVqoYaHvijOHOzMimTuOmTNBxi6Y7KzXYitVlktOOlvVTX8tnSUzVs1Xj06NWsstAy+XIV37mLJNkQrm6SwQQ+rpZ/3g/8xV2N/c2/Qx5W/014CxA4LbyLKNUl+rCLDYWDW34dn9wfd5hNMc49VXX5XrrrtO5XsCiM9x48Ypq/qDDz541O9//fXXxf7/0UcfqcajjH1XXHGF2j+jRo1SToWhQ4eq30G5ikLzl19+kYsuuiig7WTuyVhbs2ZNRWBC3jLemOmS8pdA5Z6g57EQqTSbovHi33//7RwjbVgPm0S1EXaALGpTv5ls2ZPqbHSTmplezI6O3R+ypVHNeqpJzkrxnUTVFvQKFaKcNnRvSHLkorLayg3afQDSealsM7b7QEFjKT0pYWXZfZKhSVZvStWS0KZeM4NE3bFRhoj5TaXqOla4t2akKfs5xCCZqL7AjCiESEblkpSolWLUOae7qJZEouo8VIhH1yzRkkCMRXJ8osq8+nTaGEXEsqjQ1KFQtVqJWlpjqegKxT8HCyugtEZvNiIH2NiHDRumJoNMhl3JTcgYM4hUJpyoFphI0z24rHOtsK1BMDFuoChEfRtOhU2pgEQE1Y2oGI9Y9pNI9g6RxBQjE7QUcJ/ThaNrwcjXWs2IWplzQheN+plzxvJjyuvTXGr7f0Yuqi8kKseUzz7+IZH/vhLpdoVk5hao4oesQwphiHOs+cFkm6L+5NqA4OC8QtUMkQq5WlbnOseGIhMCaO7cudKlSxeV6WoWgapx7733qvNj8ODB6j5hVVMrGzasBuo7VHWMhyNHjiw2JngiUulzcMfnIyUzb69yNOE4w9LP8w93vmmajZ6ccuzMSUlJKmbGdYxmnn/XGdfIDf0vkT8WT5cf/h2v7P8zVs1TPz+1XS+JiY6WqSvmyJItq+WGjx5VDWdvGnCpDD/hDEtjo8oSetzCTs6DhWJX4hSweOpOcrKP9dfMdVxJUp75+5kzZ6qFYH6ux0keOG1cSVneHwu6/j9zLV7DlWRFpck9lQdfh3Iewni/YMECeeihh5zf43NCBDJf8wUsQvK5qlev7lyEYH7Fa2igICUChtcMlETVYK7GvuJ6mDFjhlogDFWUjjcC1bXZFBmpZ599tvzxxx/hl6VfTmGTqDbCEie07CqTlsyUnXv3SLUqVRWxmJ6doSwpDBh/LftH/V6fdr38vvFrCzkd5OtULZlEhbiB0CSnMb+wQBJi4z2+VlJccPbLOsk1FUkGkYXC0707us5M3RSAJV/noqJENRMQ20DbhNbucOSh1m7sc/FG8D3wlkt7rChRPZOosaoz6n6H7b1yRe8kKjlVxt/4Pinlujm1XU/5df5fzqiHE1p1tXwipSMMONc9LUwccNj53clgigNAAywbkQ8mhShuaPLE6jmTencES6RSRGDpQqHXunXrMiUrKXDotkyxTI4l2ZZlTegGZef3pkTl+iUHFHK0+wgpPFRB9mVleVTeuCpw9L3A9cH+odgCHH93VY5W5ngqSD0pcYJSjtRuZ5CoKhf1HN/+ps3pIrPeFNmbKrJqnLz49TxF9KE81SAD2AxAxFJccX4tX75ctm3bpjoLl6UqpVGjRmrfc+w4xhC7ZhGoGlhBd+7cqSybFLbh1EnZhg1fkJOTI2eccYYa31577TWP45QrkYp446lJ7ykCtXlKI+U+mrh4upr/fXHzK6YRqJs2bVL5k5C2XLvexk8EJOd2HyjnHD9ANfv9YfZ4mbZijqzZYdQcp7XrIbWTasqvC4y55v3fvChvT/pKRl54twzoeJJEMpQbMSfHSZiy2AfRBbhnQeLVqVPnqLEokLFfu3QgPP11G7BA6T7+st3kw7O9bA/bqklVvoYgtGrOtHv3brVN7jme/J/oCl+Ao4PO9Jo0hUDVr+H+mvpnwYJ9j42eMZZ5K0Sq1VmkJRGorkTqt99+qxZiLrnkEuXq4ns2rIW9h22EJbo1be9U2EEuFhQdlNTMnYqwm79hqeoCz/dPaVtKd2APIDNIk6hkopYEBhDUqPwNqknvJKqhWA0UELV1k1OUXR/17VEkailK1ZJAkyc+B9Yf7DY1qphTVO3cu1s913ZEIqxN26ie/YkMcO6/YzYTtVKxzqeuxCF2ftfvlzTp0kpUX/NQNfq2P0EOHTosv/03WV1P3Zt1FKvhqqjls7krbLUS1Z3wSIw1rjGavNmIfGDXgvSAIGXC7g2BEqlMmlEMoIgzi6gKFBDFS5YsUUQXdk1PhHFEgGsz04hskRrNimcyFxSoIvLAyomSsnOdFFWIk+mbouXg1j9U8edObFKguReWnib9KE3Gjx+vCiX3wtHVGulO0lJwuH4f8PeQEa7FItvhU0Grc1F3+thcCjBOd7pAZMYbIqsmytixsxTZh9qMAgxly80336wsjWYB6zy2Q8hHVEvEBbRq1arMCHu2h+uXOA2OBeprXwpzXwhUwGu99dZbMnz4cBkyZIhqNkWha8NGJIBFovPOO0+NDdhyS7pOuXedcMIJcs1b98v2vWnSvE5jadughbz759cqQ/6D656VE1t1DXqbuK9CnhI9QjQH9xNfwLVIY2Ae6Xv3yPf/jpPv/v1dlm1dK8uj1sm5PQapxqWf//2TqnUuf/seGdSptzw9/C6n2y6cwTjHuKIJUx7uBCRzDT2uhJPDhDkTTZE8NUZyJ4JpcAkZ7Pq5eOYcDYcmhuCFF16Q7777TuWUhno+xX7p2LGj2h/MSUtbZLCaQNXg2I4dO1aRvMwr3n///bA6B8sjbBLVRliiXvXaTrUaRBs2fpSPEIhfzPhF/WzIcX2kWkJVVWQFpEStgBK19MlBckJVRaLuzjGUsK7ElQ5VRy0bLHhtJhZa4ekKthMFH4pFfu6rXV4Ta0xQNu3artSoZkyyXLNl6c4J1jiUqGSw+nsssJUfi+C8hhDnvC7aX3QUiYoqEyWqtv17Q0GRQRIEYo/q3/FEaVSzrjq/3BcJrIDrZyQX1Z1E1TZ/dyVqQoxhTyHzy0Zk43//+58qGFHV+NLgyV8ilUYcqD67du2qlAplWSBDnqIOJEog4qz77ti7VeTgfjlcMUZ25EVJVuoKVWxReDEOU+R3Wf2TOjYVu14ifU8eErwCtAQwhmNbK826RvGrCVaKEbaZc4RjA7BR6kKRZz7HUWRGzRbGsyaRfUWrgQaJunWuZGzfoDoF00zj4YcfVucyHXYhma+88koxC2w7hR3XFgUYzTC4FkparLASFJsUdlgqOQ7Y+0sii3wlUDU4v8jLg6C+8MIL5eeffy7TXFgbNnwlSLjuieKgWY5WGpaE0f/9IZtzd0rUIZFz2/eRh8aOUt9/7YpHZWCnk00Zs7RyHNt4oAsSKVVryG2Dr5BhvU6XdyZ9LRMW/y1/LpmpMlOv6XOB7M7Jkk+m/iB/LJkhf6+cq373loGXhZ3FH7UkqkkWZXkwznE/414KcWa1YjMU0GQpDxwy7sQq4yVWeXJxGWtR1vLARh/o4hzEPPdtXASu4P+8dkl45ZVXFInKghnzKg39d7yG67yS/zPmmA0iarg+iKxhH/EeZs51/CFQNTgm2PkZO3FpPP3006Ztj42jYZOoNsISqBsZlAyLn9FICoXmt7N+U89kaLKqGQjoXAkqRJWeiQpqJlZTNnpsxNimtdoPZaduPmXGwF/fQRxvc+TAuoKBCuKUvKHNu7b7RaJqS7/ZJKr+/Kwss1/IsAUt6/qmRIU41E25jtXGUkArrQsP7BfX6SrnlCJXDx6QmFIKQq1E9bWplDv8Ib6DBecyBClkadGBo3NRic4AKCtcoQneXNvOH9H46quv5KmnnpIpU6ao7EZf4QuRynhBxiQPfxQ0VgDiavHixRGvPmUiTxHJ4/DayYJHJKdyTVm9Zq0iuChciEqgAKuYtkRkwWaRmDipdNK1SCMkHMBcQiteXUk5zhfX7LqtW7cq8p3v66ISezhqysqJjsIux8/uvDTVSmklkr5G+jUW2Vilqzz33HPqR9jtUXzRUMNMElWD7T/11FMVIYnquyxVqRANJ598slKkUnRig/SkPPaXQNXg2P7666/q86LsJTIhkokNG+Ub3GNYTMEtwWIiCzelYe66xfLB5O8kqkKUPHzuzfLdtF/VPOqUNt0VWRksIGuIv2FRqUePHqYsRFBjPT38TrnwxDPltfGfyuLNK+XLGb+ouurRc2+RP5fNklmrF8jLv30oo2dPkJHD71YL+2UJCGRNmtLxHHKbcY77NXOKiIzhCYJY1SB3lf3BftHxOljZ2TeMkf6cL+xTusrTFOqcc85xzjX4/6233ur171566SV59tlnFVHo3owRFTDbwmto0lSf0zfddJNYAeZ3jDmMaTg/uG7MyCMNhEB1JXfZP4y37A9UqTasgU2i2ghLQLKkJNVQlvEKURVlX1GhfDJtjJM8vOSks5zKtKDs/D4oUSG5UEryd6gvaWblSYkZLOpXM0jU1IyjlaiA91Uk6u7tcrL418m3db1masVXq0XNwK6cI59/Q/pWNaBWr5Lsc1zA3nxDxUuhkxhkHEIkAwUoJLR7t3rI+oM+KlGddv4wW8X3hkoVKzlI1KOzYPnMwLbzlz8wsbvhhhtUp1R/u5GXRqRy/9FZkEwey0p1h5IHIg71A5YvJrSRRubwGdh+iiVUtJBdFEkNo417dmLjzqo50lFY8IXx3O5skYSyI7B9hRp7EhPVQzclciVWUZdA6lHM1EmIkh78PDddolDL+9jAz6lGTV8j57avIhMT2hX7Efm4NFWzClqVSjG1cOHCMlWlUlxybVLUokplocO18A6UQNXgb2jYRdFJwxLUSjZshCMgg77//ns1lnFvLQ248p788Q11fxp6fH/p2LSN3P7VM+pnF3ce7DFf3h9wr6fRD/nh3C/MHrPaN2gpH173rExZ/q+8+ceXSgzz8bTR0rx2I3nknJvl46mjlVjlsrfvlsGdT5Gnh93prLWsBvsO1aUmTrn36yxT7s+MD5E2hlsB5gEoPHmwz1BQs79Wr16tzh0IZq1S9RQb4A4WEVg8ZC4I+Thq1CjVhOvqq69WP7/iiiuUe+f5559X/3/xxRfl8ccfl2+++UaaNGnizDllgU6rge+8807VmI0FekjVxx57TLmRNFFrBVjAY8xh0Xz69OnqswTTLDIYAlWD8/b3339XGancXy644IKAt8eGd9gkqo2wBRmhkKjHN2svfy79RzV2gnAa0We49OtwQkCvyY1fW8gh/HRjn9IAUagt/Qzsefvy1fZQoJiVMaojDMh+9YQmjuZSm3cbik9/0NqhNFy/c/NR2ZuBQpPIrChrcta/PNRsJznmT8ZruW0utb84oWgoUY/OSvUE/bcxEUKiVo6OlvwiozBwh3c7vzEpy9tXEKKttGEmmGAykfvoo49kwIABAb+OJyKV+zCKPggiSJqyyu2KZPUpxKEuIunIjBqJYohihIJSFZE7vle/G+WpqVTWVpG1k42vu10ukQpPxCpdgNNSt8vhqAoSdfiQzPjjZ6neuJ3T0lhqgd1qkMjMt+TkRtHy8ZwVxX4EaagtlFYCghHFDAVvWapSuX7JdUS5wzXMtcz3giVQNSiYWayh+GS/WqVAsmEjUEACQQyR5+hrXveUZf+qOTfiknuHXCs3ffS4qmcGdjhZ4gorqmY8gZKfZGCuWLFCKS0hrawC29avw4nSu013GT17vHw09QdZv3OLbEzfJledep5k5efIR1O+V02ypq+aJy9cfJ8M63m6ZQSmdh8w5qE+rVWrlrpnQIJF0thdFuCYMPbxIOca8pP9yByIuRjjJ+MjzQW9RUIQvYKyFWKUv0U9OnHiRGejpi1bthQbn4jCYYHXnRDEtv7kk0+qr++//361Lddff706vswHeU2rjyeL+Vw/NOpCWQ4xXFosgVUEqgbjLLmx5IVDfPN6NsyFTaLaCFukVDUUns1SGkmNKiuUMu/Vyx+Wui65pP4C4lMr3VzzTUsDhCtEH9mTG3ZuUU2mAJms5FqagXoOJep2LySqa3OpQCw1RCCQ4bph51ZpXS84+zbNf+gMqgnm3/6bWoys9QVMmHQcwrEMnQlK3q0rsOYrJerB/aWS/YUOJaqviwJlDa2s9USi6sZS7teVVivrCAgbkQPUjGeffbbqpnrxxRcH/XquRCpkDAo33oNJYlk0lYlE9SkFOGSpJk4hClGSUERjs/NoSduz/qimUk6smsCLijTueSQ/tJwAVU2zFi1FsPRnp0qbekmytbBQnXvA1dLosSNu9SYitVpKtaJCSdq9QNn5KWz4+w8++EA9QgEKUhQqOiuV407hF2pVKgUnRAWLIBSc7DuInGAJVA3IYXJRyUiFWPKomrZhowzAOQ/BQ/dsf3IaR8+ZoJ7P7TFQVm5frzJGcdM9ev4tUrdKTXUdAX+IVMYAyFfyLrn2IMRCNee99OShcuZxfeTVcZ+oz/L1rLHSpl4z+fyml+XNP76Q2esWye2fPS1/r5gjL1x8v2luNTJNaZi1adMmtXDIogtjNmOf3c08cDDvIiOWB/uYuRANNYlt4rxCOcp93t1hhnXfm32fRQZXcMxKA+c+OaBlkQXKe7M4yXyBmA7OK38WSM0kUDXOPPNMpXqneR33HkhtG+bBvmPYCFugcASo8bg5QTLVDNI6n+lQP7ra530BBCpKUFZNd2TtchJWWh1qBuo7SN3UDM8kav3qxqrWtgBIVPYfBOe8DUtl9Y4NQZOoe3Kz1ASMSRwE89q0TX7loYJjvamUhs7T9axEPagyQiuWohbap5Wopdj+w404hiB2B820PGWiVnEqUW07fyRBKwdYFX/kkUdMV7SRf7Vnzx6lsisLAhUiioYLkD+QNWbkYVkJ3VSJQlITgBBrqHBKzTTL2Gg8V/dAoq6ZZDy3CT6bL2zhIFFrxRyUWm27qqJHWxpXrlypLI0QqRRO7NdiZEazUyVm11p59qYL5Nz3vlVFHio0LIyXXnppSD+GVqXqrFTUxjxCqUrVRCqFMupYswhUDRRIb7zxhgwbNkyR1diUbdgoS6DSw1ZMJvjpp/t+n1yVukGWbFml5kTnHD9AXp/wmfr+Ocf3d+bZQ7r4Q6Ry79JND2n65ksmq9lITkhSeamntO0hL4x9T33Ox8eMkpv6Xyqntu0hr4z7WH6c+4fM37BM3h3xtHRtSiK3/6BWQZUICce4h1MFUo8FQ7sBnflgn7KQzINmjqh9GR8533B3MD6WxfkWKkDMk/lKbA0KZ8ZWX65HswlUDTJR2ffce8ht9SVqwYZvsElUG2GLmokGYapt/JCoaVm7/G6q5Im4g/zzpamUK/h9/o5cUqzG7Rq0NLWTpCZJM/L2Sn7RPol3NLDS0J97Z/YepeBz72peGlppEjV1g0i3fqY0lapepapSlGbkZqlBolmKYX/0p8FX1WO4qRTQx9Fdlcm5xcAKEHiVBK1ipfNpZH1m742l3CMe4h0ZyHmF+UHnf9kIDThOqAxQfHzyySemHjOtooGMwapFHqqnZlNWgfenMEDFg+KA4iBcz0mtvoE8JfuN4pF9RdMkv7Y5b7fxrJssaWRuEUlfjdRRpEVfKbdIqiuy/UhzKRXnU6OGerRv317tWzJ5iXQAqD4oGFXRUtfoItwiIU+plssaXCeQ56iDKN5YiMCC6EuHcLOA+rSgoEDtP+zE2tpvFkaMGKH29dChQ5VqvTwX7jbCG5BJ5557roqyIQvSH4xxqFCxwiMuweoOTu9ymvN3OLd9JVLpOI9SDtszBGpZL/zRSKpz49byzE9vy79rF8rrEz+T7s06ysc3PC+Pfv+q6gNx9svXy4NDb5SbB1zq82IP82fGPe4zzEEg9VhcMXOxxkbJYG4GiYhCk+aUzEFYOOOez8LWUYuN5QQomznXyP6GSO3QoYPXz2klgQp43zfffFPde8ibxeJfHvd5WaD8t5izEbGg6zvYnZspdasZhOeOTM9Nl3xFlm4qVSFKUgJQtaZUraFWQ49r0u4okjNYYLfXuY+e1KjVEpJUpAHFu7fc1NKaS4HVOxxqoiDg2lRrrSMPtVGNemr7/CW0bTt/ZY92fga5Cg4iUZOp5SUTlcZSXpWoXjJRtZ0LpapupGUjvPHOO++ojkxsxNwAAQAASURBVNk8zFz95h5I7hYKQCaqPJioYleiQAwFKYm6DbvaKaecosiycJyUojpFJUtGJCocthOLs+4y7Nc2cw8qyDK+jndrmrDmD+O5YQ+RuMAbKoQ9NHmc7dkNApEBMUmx0rlzZ1UU/fXXX6qQ2lkhRQ7LYZE9G0SKwieShPxezmFIVZpiQASHAjoDlaIR8pTCkf3EtWUmXnnlFUUUX3bZZaWOozZsWAHGKyz83G/fe+89v+67RHD9sXi6+vqCXqerPhEIIXiNk1p3K/a7mkiFqGKBkff15AxhQYFnxs2yJlA1aiXVkNevfEwePPsGJSBA8PHi2PfloaE3ylld+6p538if35aL37xT0vfuKfG1mAugbp80aZJ6hjylwQ73ZJtALRtwvuJ2YaGO8RESlbkJTiJIbrPv++EAYnJYpCDaAJeKp/HHagJVg8XRMWPGKHUscUI2zIFNotoIW9RMquZUPdJkCqRmBUmiOtSPKEq10tVfMMCblYPqPsjonFZPJCk/12rUbXuMroT+oEWdxupzoxrVJKg5TaUMUraVH1Z+YNv5DcQ4lDee8kE5Xr4g4jJRHZ/ZPcKgpMZSqNG1xT/XtvSHPcjCIuSfbELdoMcsoACFwGTSCTmrM1JDQaSi3sECzXtAPoWbuk0tsqWmKtsW2wkolk877TRlHw9Y6VeYLXLYUQTEuhWia/40nlsPknKNRIcLJqfk8RelFMRdz549VcFIJtyitdtk76E42b+/SA5sM5Sq4QLOCaz1KJQhUnXXY6vg3kSK/YUymu2YPXu2qdcvOYd0QUfpSgMTGzZCjVdffVWNhz/99JPfDW7mrV+i4pqa1mognRu1kZmr5qvvd2zYSjnB3FESkYoaFqWqjsIJpercF1DjnN9zsHx966vSoUErNc97Yez7KjLsuQvvkbhKMfL3yrnSd+RlMmX5v0f9PbneCxcuVOQpynoyZ/v166dyOm3bfviAa6B169aK2OYZuz/HDDcR5H55AhFTEKkooRnbDri470JFoGpAYo8dO1ZeeOEFJWywETxsEtVG2GeiQqLWd3SuD1aJ6mrnR0UZbtCfc7uXz9nAYfnfEkAuKuSvznDVxGfQStTE6kfyUOs0DehYJB3rJKpWonpQV2oS9aAmL8pLJqpTiXq0nV83fnO3ZTPB1kptIj5shC/oUEoW4VtvvaWIErNfmwKR13XNQA0FkUon2b///ltNRnv16hVWRShKDsgplI+odLHJUaRQSJqivikwIlykUrxIJRciIGuryM6VhpW/ZXAxMWGPpHrGc3aqz3+C0otCETI1usFxcvDAQVk55XuVUUZhFS7g/oqKlvMFq+/atWs9KtnMJlDdM1IB72+mahQSm+IRSyOEqg0bocKECRNU9/BffvlFNXTzF3p+3amxYc/XVn463HuDJyJVE6hJSUnqOgvnJkqNataTj254Tm7sf4mKdYIwnbh4unx+88vSrn4LVRNe8uZd8ubEL9RnY8wntgNVI/cN8p65v7CQFY4OERsGWDxjgZ3FaEh9yMQ///xTqYddycZIB+Qo1yPnJkpQPluoCVSNTp06yeeffy6XX355WMQKRTpsEtVGRJCoWom6I9No6hQosvKOkKjBNqmyAiUpUUGDGo7mUhmBKUVa1zXH0r87xyBRayRWk3VpmwNSoupoBWIKjmVUdqhHCz0qUY3nwyUUlGoS6cxEjRA7vzMTtchrJqp7YylQxWHpz9kXPnZYG0erQQiwv/LKK1X+kpkgbxIVKgo/TwpQq4hUrjGyT5kAk31JBmoom/CUBCbk2rpI45J27dpJ//79VQ6ZqSSvJlHd7fq6oVTD7uXbyg8SjfFZcv1fzOV8qdLyRKXCaZVUqEjvqVOnKpsf6uZwAWpUlMtYLCnyzFyM8EaguhKpXNvsD3JlzSRxIYi/+eYblZMKgW3DhtVgwe/iiy+WDz/8UNmYA4EWPLSs00RdDzMcJOopJZCo7kQqZAnOBK65rl27hs3YVRIgT0f0GaZyUVOSasjGXdvkqR/flKeH3SlXnnKe+p1nf3lHRrz1gEyc9Ie6Z0DGdevWTRHFNiIHEN0sdEGkcv/HCcFiMHOu8hLBwtyUhXdAbA0LhaEmUDXOO+88uffee1VWOA3XbASO8L+T2pBjnUTFfl67ak1T7Py7HOQfmaj69cMJurnUdi8k6RE7v/9KVNC6nqEWXZW6XoLBLkdjKQY/CLzE2AS/G37tLch1ZsEey4jxQiiiyIxyKFEPkaXnBag59UQjUuz8+jMXeshBOnDIWIH2FJlRxaFEte384Yvbb79dFWsvvfSSqa9LF2EytLD9MuH2BrOJVN3FGKKSST6NgsIBbBdEF8UGmVsUH9jGIMEsKZLzMz3noW4wIgOkZX8p96jsIO6LAlSQ1u2onmIy16piH6spYyhWX4gOztlwANcvai6ICcgXmj9ZTaBqQPxznaH6RkVnJs4880xVPA4fPjysVMA2yh+4li+88EK1mAiRGih0zwEawzLvSXW41I5vZtxLSiNSIW/Jw2aBgizsSFNmtm/QUj676SVl7ycf9t6vX5AujdvKXf2ulCiJkvHLp8vHK36XNh3bqQxKG5ENstohw1FMMr9hbKQ5mBWuiFAD9TfzV8ZV5rPM2UJNoGo8+uijamHx2muvLRf7tqxgk6g2whbVEqqqAZ8LPLaycaNJ3+voDhwgCGXXzXwSHN2+wwn1qhl2fj1R8mbnD1iJ6mgutSl9m8cMTl+x22Hn31dkFH1t6zf3e3K215FPmxx/bK8a68ZSKDC1lV0rU8kFZb+WRATpXFGIE/cc0UhsLOUtExVUibVJ1HAGSi8yUL/99ltT7YKslkOI0hgCm3ppMItI5e9pwpGZmakm9jRDKGswHqLIxbpIccw+gTyl+LAUnpSoXKtpS480lSrvqOxojlYU4P2nusOtkbtL5OB+leeLMgzCEgU3VkaIw3BosoFiFpUMRAwRFlwDVhOorhEIEKmc3xTSZuKxxx5Ttupbb73V1Ne1YcMVDz74oLpXB7OYSORVmqNmaVmnsWTk7VVfkw2a4JgLlQQs/Ci6GTP5moXASCRMiF5779pn5Iwup6nMzGd/fFvWbdsor130oJoTzt24RM586VrZmL61rDfVhln9QerVkz59+ihHDfFEjEEQj5EMvSDP/BTCn/zesootoF7E1o8qlmZ3NgKDTaLaCFugRINIBRUdirz07IxiRFOg5F/V+PBUP9Z32Pm3Z3i282u1JyRrIPsBW0zVuETV6XL9zi1BK3p1o6629Vv4/Rrazl/1GM9ErRxdyakc09mmoGh/kURXrKhsTZ6s/hq6Uz15qJGiMvDWTItJhp7ke7TzaxK1MHzsrzYMkKF44403ymeffaa64ZoFFGNM9MiV9KdBVbBEKp3tmbijFMDeDOFVluC6QHE6bdo01SSH/UGRASEUkuveE4mavlIEBX1cVZFq/sW5RDSJuj9AZWZsNREWh7jHuUQCYD9FlaIVmKiLsQJb2SDNF2j1GoUseYo0ALGaQNWAvGWfcK6jRDLzM3399dcybtw4VUTasGE2yN/95JNPVP5uMEozHZVVv1ptqRKbIJkOErWah4ZS7mDc45rlmiMDlTHMU7OpSADbm5WRKafV7CSDmvWSmMoxsmj3WvlrzRz58pb/KQcf9cwZL46Q2WsXlfXm2jAJ1EU4f4gnwmGDBZ5zOpgFvbKCawYq1yJjPdAZqWUBFt4RPODOwOVlw3/YJKqNsIa23EP6kWMKcZiRa0wkAsGeXCP/o1p8eNo+aletpZ7Ts/d4/DmNnCDd2A87svzPh6XY1pb+1Ts2BN1YKn2vsZ3tGrTwe0DJLjCIsGOdRAUcU3dLPwQj2aEVK1SQwgPebZ5H8lAjw8pfXIlafPLg+n9Pdn6tvsizlahhBVQuWGSvu+46Oeuss0x7XQpBCNRGjRpJixb+L9QESqTS3Z7O9kzgsUOWdROOjIwMVTyQnwmRjA2cfRLSRZN8DyRqqmPiXbez0ViqvKOyo5FZUYCLOOyjRMNNIjlHu0lQOlNgQVxCeGBlhLgsS9KDc4zu1hAxRA7QQdnX7QmUQNUgtgP7I4qd3buDcyG5ApXTl19+qdSoZkcG2Di2sWXLFrnqqqvk/fffD2jMcsWmXdvUc7PaxuJhpqP20eISb0DJzriJ2g2lO9ewp2ZTkYCcnBzlBtFj38hrH5A3r3lCLagv3rxSnv35HXnjqsfluCbtJDMvW4aNulVGz55Q1pttw0Sw8MVCHmRqtWrV1FyI+RzzzkiApyZSzCnJSOVnZjdS9Ac4rFDNEz3CtWbDPxwDs14b5YFEZQVWf+2NYPQF2Y6O8DRECkfUSa7ptPEUFO3zuDLHqnRJuam+WvpXpwbWXIqb/R5HJiqkFzmczVJ8V4jpxkCHHB3nk4/xxlJaRequzERhWqlCtFJkasu+J+ifxURIUylX0lgTwBoslmh4tPPbmahhifvuu08Rls8//7xpr8l9hoky5AvNkgKFv0Qq9mFIGzIrUXuWpbqbSe3cuXNVEQnBRod3CnOKipCjwEMmaupC47l+FzkmUMkRAURus4emeE8++aQ6X1wfbdq0Kf5LVRxxFDme3Sb8DV2lURlz/tFIDfUxzTbKkvhISUlRBRfbwXVUWtEXLIGqgRWZRm68p5kNuAYPHiw333yzWvwxI/PVhg3IS/JPhw0bJhdddFHQr6cdSPGVjfuOU4laAonK+MaYAVGjCVSNSCJS2TbuIbhBUOq7jn0ntuoqn934kjSqWU9FtD34zYtyx+lXylld+6ma5LbPnpIXx74f1p/Phv8gL5u5oGuWONFG4XycPRGoGppIZfwxu5GiP3j44YeVe+ymm24K630ZjrBJVBthDU2c7s7OlNpVaxTLNQ0EOYUG+VLH8VrhBpos6Q7rWuXprfnUtj0Bkqh1DSXqmh0bArphZuXnOMkuiK7WdZspy7k/gCQGcZVjIybHMxSkoqudH4IRNSb71vX77ijUdv4IUqLqz7vfzc5/wKFEZYLkqTnOETu/TaKGC3766Sel6vruu+9M6wbPfYnsKGxOZjTD8JVIJZKA4pLfxSZflhNvtkPHCaDAoAkAn6PM4CRRHU29GDu2O5So9Y+TYwKVHEpUsN8zode+fXvZsWOH80FjpmJI8q5EdQXnPGpjrTqG2IccKUv1TZUqVVT+LvmtbIu368gsAlUDRTh2TqyPZubFjhw5UhISEuSuu+4y7TVtHLt4/PHHFVkyatQoU17vkGOejQsPZJRCojJuQtgwbqLg9jSHigQilQgf7ptkImN7ZhHFfexrXKu+fHrji9Kr5XFqfvzE6DdkSNc+csfgK9XPXxv/qTz83f/KTXd3G8Uzs3EIdenSRbkjynpcDIRA1eC8hkglxocF07IACxNfffWVymQnjsuG77BJVBuRQaLmZEitJE2iBq5ELSg0brR1ko3s0XADhVNKKWRxPUduqrfmU6Whee3GyiKO9UXb8v2B/hvUk0zS6J7pL3L3Oaz8ceGZTRtqaBXpUXb+ihVVLqrOPfUETbBqNWskgJgCT5moJTWVAuSCAVuJGh6gEBsxYoR8+OGH0qyZoXA3AxRPKN6wEJtlpS+JSKWQpOkG5A+/g2WsrEAW6/Tp0xUBh7WbxlE0+Slz7DMyrCXGEb+Ss8NokEShXru9HBPgHlshusTmUpyvKEn146iGX04laprPBQ52+r59+6rxtqzVNyyUUBDS4MVTnpvZBKpGhw4dVBFKUWrWZ+eewOIP2ZU//PCDKa9p49jEpEmT5M0331TnEiSPGTjkOM+jKkQV6yNQzYN7i2sCQgnCBlKmpHEzXIlUrT5Fec+947TTTiuxmSOik1FXPCJDj++vnG0jf35bmtdpLK9c+qCqpT79e4zc9/ULNpFaTkEsS7iMi4EQqBrcLxgvuR7JQi8LIBqASL3ttttUDrkN32CTqDbCGjUTDdXL7pxMp9U9PUAlKjc1bR9uWMOhBglD1KlqfE7dldMd9as77PyZnu2ApQHFYtNaDQPORYXQBhCxoEuTtn6/BnZ+V1LsWEeMB1IRhalWomq1aXnJRK3sIEndSVTdLM2bsjmusjER2VfkfX/YCA24n15zzTVywQUXKPuiWWBFntxFlDRmN3PyRKQy6UYBsHHjRjXZNZP48Xd/QuSSxYqFmY7tZbUtHuGIX5Eox7WpVagpbY/Y3I8FOHNR872qmSnuWFS49NJLVUZiMSSWbOf3BoowrgmtvinLTDiuIxRinLOzZ892qkOtIlABhTKfn4gLM3NMUbl+9NFHysrIwo0NG/4iKytLrr76annttdeCip5xh3M+5FCiOrPzDx6txua6Y+GN69KXZlb+Eqn8PK+wQIkoNu/aLiu3r5MFG5bJjFXz1POGnVtUv4pACUtP6lNfFlCZKz5yzs1y8YlGFvvLv32oFuPfuPJxpeD9etZYufOLkUE1JLYRvgincTEQAtXV5cHiB9ciZHBZgMiMW265Ra688soya3YVabB9tDYiRImaKV2btg/Kzq+JO0CWTrgipWrJZHE9RyZqaoAkKmhTv7ms27lZlm5ZI73bdPfrb3VjLyYv2KubpzTy+/1zCowC1CZRDVR2qEhdyVLysCo5SdTylol6dAYsOOBQB3pToupssPwiO8OurEHjDEiTn3/+2bTXJPOQkH0KqJIUKGYQqeSMYgPDzkvxyWSXwrKs1KfYtZl8oz4NK/LUCUeR7SjoJW2Z8Vyvs29/ffiwUi9S4EBi8+z60N9j8s7vsi/0M5g4caIzZxRCjQfFCSpd14fr9/jak6U1KFSKF9m316Odn27y2OHIMuWceuqpp5T9fdmyZUfOLd2Yq9Ch7PUTELRcG8RdTJ06VTp16qS+F+rsXm1D5BqiiQ3EPyoaKwhUVxUs6nQWGshJxOJvBs4//3wZM2aM3Hjjjep+VpY5yDYiD8RBcB1ee+21pr6uVqLqe5i28esGUxoQj1x7jB3+LDxqIpVGPYD8Zn3uc9/dvHu7LN+2VpZvWycrtq0tVkN5A3+fHJ+othXBR9t6LaRt/eaq5vJ0XXGPJ4echUwWNIit8dd9wuvedcbVEh8TKx9PHS3v/Pm1XHnKefLONU/JLZ8+KT/MHq+I1Tevetxjw1IbkY9wGRcDIVA1cEBBCDOmMtaRQx5qMGf5/fff5eWXX5aHHnoo5O8fabDvJjYihkQ90rnefwu6qxUmyoWIDEccyX7dU6Kdf0eAdn7QpXEb+f2/KbJo8wo1ifFnoNHh9kxGOjZsHVCRmltoTMYS48xVmkUqdJ6pbiQAivYbmag0lmICyEq6J4WmjgCIxExUd0WFzkT1rkQ1bM2emq7ZCB1Qbd5///2KcIDMMAOo2bAHE3BPMRUKJd3kyZNV129Un2VBoDLhRrnIA8t2q1atyqZplF9KVMdYkeVQWFY3MrZdARkKMYxCiwcFBc0TGGsokN1JT7qw6//zc1eyFHIVhRJkJPtGE6uoiF3JWF4/MzPT+X8IW8Drc2wh9uhWzTPEecDFVeV4r0rU008/3fk1RRykKucyVnFiLxT0vS0IZZRW32zfvl0VjTwT++BPwWYGOFZ8Ruy3qKitJFA1uN/Q9I3FFo6jWe+HFZs822+++UYpiG3Y8AXjxo1T4yALJWYTNocd91ytRNU2/ozcLOfvpKenq/dmPAtkLHYnUitVi5dfF/wlizatUMpTdzAfTYiJV4RlfEycxFWKVYva1AX0S+D+TFQYjw3pW2XGqvnq7xJi4qRNveaKUG1bv4XqzUC2MouH3K9ZkDkq+sQPsO9v7H+J2rY3Jn4un0//SYb1OkPeH/GM3PTJ4/LzvElqHv3uiKftPgzlFGU9LgZDoGpAnLLNKGpp5BjqeSlzsE8//VRFaZx11lkqRseGd9h3EhsRQ6KmVDWs/TuzdgX0Wjv2Gn+HxaNmkqM5Rhiidml2fgcBzISFSQ6TE3/RvkErNZFgv27LSJOGNeoGQKJWlM6N/bfyg9wCh50/xlaiFrPze2os5SBVyD71dKwjMRPVW2Op0jJRbRK17MFEEUIIooGGR2aAwovupEw6ITKsBu8HcQlJBxFDBhST71ASmEy0mXCzP5lwl2UOq09w2j01ibpVPRXG15HMtDRFlmrilKJYE1yoQ7C2o5Di+PqrMtKFCK/nT2MtFd9TWKjIVfY124Zai6857ppQ1eQqdjqfSBCtxNWkcgngtSHGUWw7UdFxnz4UfIMklJgQDxSMZMJB3JqlzvRnQYXjzfmLmgwyx6wcY28ga5b9SqFJsWdGwzX243vvvafubeTslWVjORuRARZtrr/+enn11VfV4p/ZiHLca3QjV6cS1SEIwQLPYgLXfTDODYiaGk3ryku/fSg79mU41aw0uYX0pO9BuwYtpWmtBmru5u0+yT2XuiQrb69qgrV+5xZZuX29ig2jVlmwcZl6gJioaKlfuYb063SS9DfpGgaX9z5H4ivHyou/fSCjZ4+XIV37ygfXPSs3fPSoEo4w5+T/kSQ6sBHcuEhzUsaMcCdQNRo2bKhiaxAVQKSa1bDVV+D2uOOOO+Sqq65SLpMybWga5rBJVBthjVpJLpmoDiXqrpxMr6q8krBt9w71TKHMIBvuJKo3O39CbLxUjU9UHe5Ro7ao479qiwkEq8FLtqySRZtW+kWipjsUshBdXQIkUZ2ZqHE2iVrMzl8sE3W/VIiKchKHhV5IVG3nj6hMVG92fkexAEHvCXpf5BftC5sA+WMNEA3Y73799VfTXpPcSBShECKm2689gNyprVu3Kvsjk12s/RAyoSBSXdWnkItYv8NWfVoMxvV28NAh2bl9m1TfuU4O7d8nMxetl4o1DirCkMIFRS2kZFlPvDmPaNjAA6Wr6/6nQNEqWVdiFSKCYgtrutfmMIcPFs+GLQGQHLz+5Zdf7rJhjmn3oQOWqG9SU1MVqRIK9Y3OQNVRGOSjUvihTrWaSG3ZsqXs2bNHFi1apDo1m6ECPPfcc2X06NHK1v/LL7/Ytn4bpdr4UY2Rh2oFdB+INIdwpHoVQ3UNQamdG40aNVKPQEG+6QdTvlNk58HDB6VwX6F0a9heLh9wvrSsQxNa38cm7qHVq1RVD9pMHt+so/o+9domR47qim3r5J/l82VHXobkJhbIhnk/ycQN/8qpbXuoaDFd8wWD83sOVirZp358UxGn+YUF8tH1z8v1Hz4ifyyZIVe/94B8fMPzzvmkjfIHPS6SL8pCA/OsFi1aWHJPN5NA1SDWgnkK245KOxTzYlc8+eSTMnbsWHnppZfkkUceCel7RxJsEtVGWKOGQ4maV5ivBkVUpAzI5HL6O9hqJWq4K/ZKU6JqSz8kKrmogZCo4Lgm7RSJunDTcjmrW1+f/259umHjrJ5QVVIc0QP+IsfRXT0x1rbzF7PzF1OiGvmo2JPISvXWXEp/P7IyUaOdylPXOInSGkthIQP8DUrdinZvxJCrzh544AFFMJhlM2LiSUMAVr9D0YUe0ocMOQhU1IdAZ6RaTaRiMdeNDyJCfeqAsuLn5wt36yVLl0rurnipefiAVIqNlz5DL5FKAbghygpahcpDx0ZoYhVrLEUXZCTWWNSIEKr8rrP40o1TPJwj9957r7LA8bqQmU888YQ6ly6++GKXDXBMuz00hzFDfYOiG3s9RKaV1npPTaR4T4hUMt342srFAY5H165d1Wflem7a9OhYiWBs/V9//bVcdtllprymjfJp42cctMLGr6Fjx7Y7orsgJ3U02bz585RiNJhGVjSFemfS14brqUJFGdjpZBnQ9kRZu3SVHN5bKBXqmjO/Yj7XvHYjaZBcW5LzK0vXns2lUkoVmbtxiczfsFS27tkhX838VT06NmwlQ4/vL8c1aR/Ufj29y6lKSfvI9/+TKcv/VQv2n974olzz3gPq/9e8/6B8cfMrtrW/nAOFOPM8xiTmmjSgMnNcsoJAdR3fyP+m0Sp9AkIJPgf57kRdnX322SF//0iBXYHaCGskxiY4CZWcglynvT8923NeqC8KynBffdSZqN6UqKBuckqxyVUg6NLEmHyt2L6uxMZF7tiyO1U9k28UKLSdn+Nr4wixr/NNIRN1kyWtPmWi6wn7IjATtVLFIyo1VzVqaXZ+9pOeWNuW/tCCyeI111yjiIV+/fqZ8po0EWKlHfViKEL0IX54QPy4ksC62RT2b0hO8jbNBpPs6dOnK4UeE9NwJlBZpECliWIXkurPP/+UQkfH27bt2kvvjo2lcqXKUrFaw4giUEsjVlE3Qq4PGjRIqYQ5ZuSxTpo0SZGTO3fulMNaQepBiQoBC2GK6mX48OFK2QqpWKuW4aJR0Pc+x73OCvUN2852o04NFYHqmpHKdc11FGinbn8+L/moFJnENZgBjhlq+9tvv101B7Nhw5ON/7rrrpPXXnvNEhu/e3QXSlTmhNrOf+jwIdmZsVspsANRqJE9TwOm18Z/quaVOMrevfYZlSnavH4TRQZt3rxZ3f/NcvxwfTL+cc2edsqpcmqHnnLfWdfJJze8ILcMvEyRp8ztlm5dIyN/fkfu/ep5mbl6QVD3kD7te8mrlz+iXFozV8+Xycv+ka9vfVXVgFOXz5Y7P3/G8nvUsYa3335bmjRpohbEGQsgL72B+zZN/fh9jv2oUaM8KiJ1Rrp+0ADNHzBGYYsng5dxkUXhcCZQXeel7ENcU1yPoQZziTvvvFPZ+lG+2zgaNolqI6zBDbNqnKEWImvnSNMl7wSjNxAJAFC0hjN0Ay1yj7yRm3S9BChRA0WjGnWlRpVqisRavHmlT3+zb3+hcz8e1zTwFXDdWMq287tlhB48YGT5OYhFzn9NoursU3focyTcFdaucCVJtYVffe0gFrx1UGV/HMlF9azMtWENPvzwQ6VExd5jFlCgkvcE6WQ1UKvp5jcQZu6wkkhNS0tTigLUgihurbY6B4q8vDyVDwtpSKMR1JkQ3IMHD5ZqycY+U2phRx6qJFtHIJQlKIawyFJE0CyKTDXuPRCp+woMF0VmttFExRXfffedUqByDkGo8n/2XzGYbOd3B9sJGQzBgtWdnFIzo0+8EajuTdtQWy9YsMDy2BXUt9g0WYyBvDUD55xzjjruN998symvZ6N8AcU5ijbIBStRIzFZKUQhUBGBME+s4bD0V2+UElBkClFIT455Q8YtnKr+f0HPwfLoubc4X9e12ZRZRCr3RMgr7qncl1zHP+LJ+nU4UZ4adqe8N+IZObtbPyUI2Lhrm7w67mO57bOnZNKSmc4Fdn/Rq2UXefGSB5QYByv/jNUL5KPrn1P79ce5f8hTP75hR0OZhO+//17uvvtu5cCAXCTqggVJHB6eAKnJgt8LL7xQYmYpzgAWtPSDc8lfMG9hzMJh8vfff0tGRmANqkNFoGqQBc88hLky8TWhBseS+cwrr7wS8veOBNgkqo2wB/mfAPt6isPq7q1zfUnQHS3D3UJOB05Nqnkji7Hzg9SMnUEVWye2Ok59zYqvL1iwYZlTORiMEjXHUYjajaUMuIb1oww4YtGvrCxJmsB2h7K1OzNRI8fOj3pCf15NnBpfOzJRS8jhohsssJWooQN5pQ899JBSGZhl42d1HXIRJZnVeU+7du1StkuypUqyOJtNpHJ9QjhB8FB0k3MVbjmLfEYIP0hTmjCQ48m2QiIxeafJgWps4NpYau8248vkhlLegfUPlTQ5owMGDJCYaOPetGz5SrW/IBU5X3yGk0S1VtlBUYr6BjUqaiAzlCSlEajuRKpWM1sNFmEokolhMAuoDFFhT5gwwbTXtBH5oNEKZNG7775r+b0c4q9OsiGqSM1MV4RN/XijBlq724jV8nc8enPi58p9xmL0g2ffIJecdLbH8dcMIpW/YeESsomFKK7TkvYZEW1XnXq+fHjds3LRiUOkSmy87MjaJe/99Y3c+NFjKt/Udb7oK05s1VWeHnaHeu8xcybImh0b5fUrH1M/e3/yd/LWpC/9fk0bR4MGayi0yQgmZgJFP5ETn3zyicffZ37x8ssvy0UXXVQiCQnpznimHyycBTqWM7dhkZH4JrL4w5lA1cDJwv7UUVChBJ+N4/jss88GvL/KM2wS1UbYIzkhST3vzc/2yeruDeQIgSQHKRuuYKCvlVSjxNgCnZXExCoYnNzmePU8b/0SjySdO/5Z859zEqND7gNBrqOxVGJceBPaoTzmWkkKKaqJar53JC/16OODilPniEaSnd9VjVpMiepsLOVdqRdX2Ziw0CzARmgAgdq7d28588wzTXk9iDoIDworrw18TFRXQmKS6eRLB2OziFT+DiWezl8Nddf00oClTatOKZIhCiEJUcqSA3pUYa2LaIrgLMdkumr5J1Hd79MVxLB/nnjSyYoUwOLPPuRYY/MtFQcc961o6x0xECEQqZyLKKG5FqwmUF2LL6yINKGzKlbAPT+OY2FWocf1MHLkSGXr94skt1FuwXV0yy23qPFQ5ylbDe0627o7VY1HnR0xXEs2+7848cPs8TJn3WK1SP34ebdJjxadS/z9YIhUHdXD3zJ3qFevns9/WyU2QYb3OkPev3akIlWpNTLz9son08bInV88K/9tXC7+YmCn3nL/Wdepr3kdxApPXXCH+v+zP78j3/7zu9+vaaN43jtjYP/+/Z3fYw7B/1l4CAY04eT8QbV66aWXBnWPZ6zAHcI8h4V1Hv6c16EmUDXI/IY85r1DrZxm/krsAipjG8Vhk6g2wh7J8Ukudn6tRPWfRM3el6ueq8UfbeUMN9Qp5XNqJer2zJ1B3VBb1G6s9ikTivkblpX4uzkFeSoEXhNdOuQ+KBLVzkR1QquPORbaus/3PDWd0tDEKpOVSAvIp0kccCWpjtj5vStRdRyHrUQNDegA/M0333jMqwoE3K8WLlyoFI4lWbjMgO5gTG6dP0VvsEQqBCWkFc+QWFY2+PEX2Ngobv/66y9l18deScYt6oySG3u5KFFzHeNSkrXHLyxx2NH8rlKMOq8opPr06aPOGdS85P5BGnrN2tuXYzzHhmYxFxUxCmzULNgYUWVbTaBqYJ1Eac71jirVSrAYw6IMtkezMu9uvPFGRSTZVkYb4P3331f3TOz8oYIWTMxbvlARNn2OO1H9f+nW1X69zpx1i+T7f8epr2/of7G0rudbI7ZAiFSdPcn4Sf63p/gcX4BaFnv/uyOelhv7XyxV4xJVhNnIn9+W5355V3b4KSK5oOfpKvcVkAcLQX3roMvV/8lgnbRkhoQayk1WWKgyY1kEYj+j3mWRGVKS+QdOAuYx48ePV3/D+M33+Bm/wz0PohFyEes8BB+kZijJNtxKzJNYgHUF/8dxFChYiKPB0cSJE5X6m0gpSHmuw2AXyZibsc/JLffFqVFWBKomf4lH4NriWIcaxHgxZ2TB2MYRRFbVbUOOdTt/s5RG6uv0bP/zTHIdHeHJGQp3aMVtWtbuEhtLQSSxX7RaN5Ab88mtu6lsoBkr56qvveHPpTNVnpKGDrkPBDmOY5Fgk6hOJMYlSHZBrnocdBTgMZVioCy8ZqLq77k2XIoUQPqifnZVopbWWAocyUS1SdRQKW8eeOAB07pfo0yjaAimq7AvoIBgwgsxSKaWv9BEKrYvihWsZ750dYWkpMCheMACbmWHcn+LHPIxKQDIpuvbt6/K2/IZOmKDLM8iRwFTuXQikAztVakbZHXqBlm/c7P6f0buXuUs4dqnzjsshyW+cqyybxLxgq0TG2ud5JpSs0p12ZadruJ4UpJrlv19TpOjjkUgQPdfjjVxDRSyKHxRuKBUZV8XU/UWOvZdTOgcMbw/SmxITYpxrgdfr+dACVQNFkpatWqlrgmK1pKJ+uDAe9WtW1dlwUIcB3uucO0SYYKaioZ6oVIf2gg/sPjwyCOPyLfffhtS8qRt/eYy5t8DsmTrGnn0otsl07EIs2bHJjUH8qVRLvfc1yd8rr4+47jTVAapP9BEKotEgMY+3q4t1PiQUigHueeYEdXDfBAl6Umtj5cf/h0n4xdNU4KORZtWyJCufeWCXqer8cMXXHPaBapJ8dezxqoGVi9cdK/sys5QBPP1Hz4q39/xuvRs0UXMBnMeFpJ4QJiy0IM1m+8zV8Gyzr3R/aGjr/SDTFAUiXyfv4PYgzDlNXk9/WDuxu9wrvI62Oq5f0No8xxInm5ZgFghDcZYSFXuwz/88IOMGDEiqNdm3GZMgohmgZEIGm9zorIkUDU4Zix6s0CBq8oXZ5VZYD779NNPy2233aYI/rL4/OEIm0S1ETEkarHGUln+qSkYbDTpQoEW7tDZr95iC1AnYnGhsEzbuztgEhX0btNdkajzNy5Tylet9nUFCsHxi/52KgUTYuKdykl/wWCUX2QoRWwlavHzfHvGTkWKa4t+cnyiU4HqWYmq81Ajy8oPNLnkmnGlFX9kgXmD3VgqdPjoo49UUXT//febZuOHyGOyanVzJVQzqBWYJAdayPlLpEKgMcGETMN6VuaEn6MrMqQe5C5qU8ilgAqomKQjJKCjMaDEGE0f3cfauesXy19L/1HdkMnfMwPPzPpYjRfNajeSZikN1aM5X9duJK3qNvW5iDZLieoklV3AfsUqyLGnmQrnOiQkCwaQe+p8KAMSVYPik8IRQpNisDSSI1gCVYPzjvfjGuK1rFxY4DORVcu1aAbpyb3qwgsvlLvuukt++uknU7bRRuThwQcfVIpzmuyFEq1qNVEkWXp0plSIrih1k2tJzcRqihhdsW2ddGvWodTX+GnuH2rBmvvkVaecF9B2+EKk0vgGApWfHdVQzwTQZPXq0y6QAZ1Olk+njZGFm1bIL/P/lL9XzlG2/5NbH1/qmMvP7zj9KtlbkKsyVh/54VV59fKHVS3159JZcsU798kv97wrbeu3CHg7ITEZdzVpyoPvQdBxH61WrZqK93ElS325J+LegUSlm31pYzjKSghaTaoS5cLxWb9+fbFt0aRqsMQqxC6fAWWnK/i/mY4jtpNFOcYmM8BnhphFzQs5yTnOGBluBKrr52d+CfF72mmnGXn1IQKNFj/++GOVF8790IZNotqIAEAkHclENQi+XTmZimgqiWxxRV5hvrNpjSZiwxkpjkxUJkolWf4Z+CGU29RrFvB7NapZT7o0biuLNq+UX+b9qaw+7pi9dpF6L928iOZXgSKvsMBpM0F5ZMMAViUAiaqJRchxneVbeOBo0vBIA6rIWxXUzaNcSVRflKiaLNFEvA1rm0l9+eWXpqjHtI0fYsPqFXTs1ChesX0FO8n0lUilOIG4JWsLq1hZg6IJEg8rHapDbNVB7QtN+u3LFikyonGk8pFFMFwKP86ZKB9M/k7Wpm0qVrQ2rllfWtdtqop4xl8WAFk04jrn55wbFPm4RXL25alO1GlZu9QCIZbNrbtSJafI+NnizSvVwz0aBEK1Q8NW0r5BS/XMA7LBVDBuHXAo4KO9XxN8JopkiFPIPG23hEytVZhdnJQOMbj2sNiiSOV8Rtni6Xw2i0DV+wOrPREXLDLQ3MOqBQauV14fyyvXoRmZy3SPRlWMpTTUJJqNsgeZjt99951ajAolWFTeuWGb1EisJvkHC2X5tjXStWkH6dSojUxZ/q8s3rKqVBJ1V/Ye+WupQXxe3vucEvPmgyFSUepyT+nQoYMi+axEg+p15NFzb5EFG5cpMpXmU9jzyXu9od/FytVVEtjmR8+9WcWKTVsxR+77+kV5/cpH1dx77volctlb98jEhz5x9qbwJf+Vz89Yi53elaTkfsuiWqjVn7wXD3dC0F0VyyI5FnmUsWwzikNIT7bbn8Vn5hbMMSZPniznnHOOk3zk/7feeqtpn4uFeOZal19uxDCYAc4HFt8YByFSGfNwbYQbgarB+cT8nPk0881QLdYjfMCZwRh4ySWXKJfNsQ6bRLUR9qjqyERlgMOKD3EKgQqp5+sgBxl56PChoG3ooYIu/kokUZNrKZXPTi/Np/zB+T0HKxKVidnwE86QKpWPkJsUt1hfQKdGreXftQuDykOlENYW9EDVrOURSfFVjpCoDiVqtfgk2edQXHpUoh5w2PkjUInqJFGLNZbSmajeh6ZYR2Mp285vLR5++GFTm0kx8WXyziq6laAwYHIJOaQnwsGiNCIVsgnSid9BZVKWoIBje8hWI7OTvFNTmnfFaiVqdjE1JQQoDUue/ukt2eMYr1gcG9Spt7KNntauV1DjBYoasuD6DugnqVm7ZEP6Flm/c4tsTN8q69O3KsKW9+WZx8/zjmR2oVbFmtmrZRfp066XpAS7gAp5rO9XcaUTixShEAocBwpVzp32u1dIg0OHpGIZKFE1sHZSEEIOoUqlEHM9n80kUDV4fRQ/2CZZ4LBCqaYBEYCd2Cxbv24yhZWRmIZwKKRthDbShvEw1HEOy5cvV8TFCW27KVU/DZUgUTs3bqvm6jSExZ5eEsbMmajmWB0btVYLTMHCE5EKcci9Dbt1qIgVrunjm3VU+4J7/ujZ41Xj25Xb18nNAy4rlVymjhw5/G6564uRMm/DUnn4u//Jm1c9Lle9+4Cs27lZRrz/kIy5622vNQrjLKQpDwhUxljIRxrchbtdnvsX90jX/FLmZhCqfB5UjjrflM/E/c+XBVgaD1155ZVq7sWYQo4+i7lXX321+vkVV1yhFheff/559X8U1nphgq9Z/OaeDfHbooWhBCZ/+KyzzlLXHu6OJ554Qo0lF198tNgn2POJRU5em3ObsY9zPdwIVNdFyWnTpql5BaRqqJtM3XPPPTJ69Gg51mGTqDbCHskJR+z8DHw1qiSrrvXkovpKopJ5c0T9mBAxJOquHO/Zr1qVi2InWLSr30Ja120mq3dskC9n/CI39j0yQH076zdl869RpZq0rNs0aCJaN5WKhOMQSiTFVVGDY9EBI+CcyVtCbLyTIC0tEzXSoIlSHV0AtFpcE6yeEF/ZbixlNSAhv/rqK1XEmQFs9ag0rbbxU9ighkE1ZnbTKk9EKiQZTSCYyDLJDrSBhhmAbIT8gqymiRBqQ7NIZAVN+uVnOnNBN+zNkvs+elpmrV7gdDVc22e4XHziWaWqgfwFLgiaoXhqiIJylUYry7etlWVb16jnDelbnY9v//lN/R4KroGdTpbzewySpikN/d+IAkdzpIqVS1SiuoNzHks7hWD26N+lsHCf7NqZKTVycz0qhUIBimLOZ+y3PCA42U4rCFQNiAaKa64hClQrFdso4sy09dNkiniT119/3bR4Exvhj08++USRKKFsJgUg5jh3iRDYWTnPSaKCvu17yWvjP1FEKu4db84d7ov8DrjohCGmbZsrkYoyEMs2pA4EWajBZx/e6wzp1rSDvD7hM9mWkSbP/vKODOh4krL4l5QZy9z65UsflGvef1CNE8/89La8f91IOfd/NylF6sPfvaJ+rt0SnAeaOMWuz4Ip8wwyprmPh0N8T6CAIOSz8OCzshjNcWU8gEhEmap/7i03lNgTztvHH39c7SMcAaj3NVnL+eyqboUU5bzRoIEfD+YuEIRg27ZtijAlioB5DSQe4xVfmw2OH4sCbCPnNuMfc8pwIlBdx28Ie/YF42go5xE0mSJSYdq0aSpS4FiGTaLaiJzGUg5bM80mIFEhD31dWTWUqJFjIde5rSUrUc0jURk8Lus9VB4fPUrZW+on15aKhw+rCdjvC6eq37lpwMUyb/1S00jUxLjwPw6hBAsEZP7RWAronFudd1reMlGjnZmorkpUB4laQj7UETu/TaJaBWz8qG/MaCbFhBx1gdU2fpQTkJtkc2kVg9lwJVJR8FFMMslnkm0qYeknUHBgk2Z72L7q1S3I/dZK1AJjYe/v/Ioy4pWblAU/rlKM3DPkWhUFU1IUh1VAYdqv6onFGqYQg4LCiK7U01fOkyVbVjkfr/z+kSq6LznpLOXC0DE1pWLfXuM5tiqDZkCFT82ESnKIeIyYKjJ16lSlyIT0L4sGZJzPLGyw8IAqlWIMEt4KAlWDcxPFGnZ78oqtKv7MtvVzfCgehw8fLtddd12ZK85tWA86YT/55JNKURdKEgV7OGMmyjgIq65NjcaILBRBmvJ/LP4o8OesXSQntzne4+vMWDVPNSnt2LCValBlJhhrIFKIKkH1zaMsQZwLhOc3s8bKb/9NUfmmS7asltsHX1FivilChVcue0iufu8B5ez77p/f5Z1rnpbL37lHvpr5q7Sp20z6NDleOTs4H7iXMC+CGAw3Ys0sUA9yf+MBqcjnhlCFGEU5ytjAfI5j7r4ojnXfm31fE6MauDS0uMkbiNEINZg/QvBCCDM+hutxZq6L8hvRA+RyqEh8zn0WEh944AFF4kby4kGwCL5tng0bIbLzo0QFWn2KEtVXuCpRaYpUHuz8WomKStQMQEhffer56uuvZv0qHy76Vd6b/K3ab33bn6BsRJl5e00gUfPVM12YbRRHkmPBACQ7znudd0qsgvuEI7IzUaOL5aC65qOWZOePc9r57cZSVgBih4kRRKoZQH1A3paVNn6uC0hE8quszFt0JZ5QoqBA5euyIlCx4EEc89khpiBzLSFQNXEICvbKN9nRcmlqrLqX92zRWaY9/o3cOujyMiFQvYFFKNRIZOdNevgzWfLiOHntikeVrZ8MVfL07vnqeen+yLkyavynzsWrElHgIFHjklVOJufZnXfe6d+GZW9X79+4Qy+luMEKi8UdK2VZgCIYyzt2SlTVKEWtIlA1KPx4QN6ioLYK2o6KBd8MDBgwQOX+vfjii6a8no3wxptvvqmIogsuKNkybzZwgED660VMYknoDYHzCJU9C+7c28AfS2Z4fZ3/NhnK1RNadjV9GyHVINTIkkQliNOkNELMaqAspfHUUxfcoWooaqNHf3hNxc2UtG0Na9SV5y+6V+3XiYuny7aMHXLXwKvUz54Y87r8uXCGItbIguT+yL0rXIk1q+JfOBeZ6wwaNEhdEyhU//jjD1m8eLFS6JYX6AxUnlncZBGOuV64goUW5oFE5IQSzHu2bNkiP//8sxzLsElUGxHUWCrH2VCppM71noAtXmeiRoIStWaiUQjnFxaoRkzeMlFBWpY5JCo487g+cna3furrnKI8Zau+ove5cvOAS9X3MjSJakImahWT7Z7l6Vx3bd6lrfrY3l3zQyM+E9WhvHK18/vUWCrGUBTZjaXMB4UGXTdZYTaDjNOZV1hrrbTxM4GkqHPPdrRqH+nOsKiEaN6ECrYs1KfYlUHfvn2VldJSRYDDzp++e4vcnR4jXKnndR8oP9zxpjSuFXobZyBq1YtPHCLf3j5KFr4wVh4771apX622WmB9Yez7csLjw5SKieKpNCVq7sFoef/99xVx7Rco5LO2Gl8nN1DkO2pMjh32Qa6VsjiXWAzAtgh5ChmCEs5qYIGlOCd/z0ryhfeBqEZVZAYgzyHXuP5slF+wqMGx1osloQLn6datW5XNWb+vkf/ZyakuBWROaxLV0/WD42tVqkGsdGvW3vRtZPGOBUvyGFm8Q6kZDkQqIP9VLZi176W2B3XpC7++57WWAt2bd5K7Tr9a3fteHfuxRO0tkn6tesrBw4fkjX+/lcPx0ZbOYSIFuClwTxAzAanKeMkiIOPXjh07wuL4Bwr3JlKocPmsOI+IpApHcE5yHTIPJVojVGDu+/jjj6us6FDMF8IVNolqI3Ls/A4SVTeH8EeBmZ51pPlSJJCobKMmz3SzDm9KVNSqrh3OgwGTNXKEXr/8UTmrZW959fJH5JzuA5w5Nhm5RhFZ3UHwBYKcAgeJGgGK4LLIRdXQdn6yUfX+18rT8pCJyqo/cCWGNYGgf+YJOuPKzkQ1Hz/99JMq4O644w5TXo+JHcQMXcqtAioB3gcC1ZQGSqWAvEhW4Jlk03hLq0FDRX65q0/JZg2JKsZh59+dmaaeb6oTJ29f81RELuAwdt4y8DKZPfJHefvqJ6VF7cZqnL37y+fk9BdHyLq0zZ7/sMAYi/9bsV4+/PBD/y3d/H1RvhEFULWB+hb3dhQvnEtalUoeXaigM1A5n7HxMwdAIWr1+ayIoeOPV8WplSqa2NhYVQxrpXqwYJtptvfUU0+Zsn02whOQp9xbacwXKqDKxpqrbfyu6N/RiCqZtHiGOo9PadtDzfu27E51kqWuWLTZIDRRWfraO8IXoDrl/sDYQ8M814zUcCJSE2Li5LZBV6j7PIvyRLs88M2LsnXPDo/7ne2uml1RetRrLxWjK8pvm2bJI8NvU42rEI9c9e59kudw0dkw7t8stEP2Dxw4UGWUco/966+/VCRMWSwGmkmg6jkVYzOxAzr/N1xt/cQrcO8I5bV37bXXquP8+eefy7EKm0S1EfbQtmZUdxAnR2zsvnel37H3iAohEuz8DFClWfqrJ1RVkwMUtqhpzETdainSqnojp+pXwxQ7f6ExETG78Uh5gN6vkIiaUOVc0CSpu4U9sjNRHY2limWiOuz8PpGotp3fTLCa/Mgjj6jupyjEggVEEIQsdj+rlDxMfJk4ooaxzMbugrVr1yrCR3du1RmpoSJStfpURaw41KehwvZ8Q8WTGHVQzq1yQB6vHxvxWViMn2SiTnnsK3nygttVJvXizStl4PNXyZg5E7wqUavUaiD9+/f3/w2zthjPVWqJRBcnvmlKplWpM2fODInC2b2JFKoWGkxxXZH5a/X7c/1QhFutosGKyrlKcW8GRo4cKV988YWKP7BR/kDONWpjiNRQAiU65KmnLPKTWndTLpy0vbtlydbViiTs3ba7+tkkD5b+hY4mVGQ/mwXGdKJ+cJZgaXdFOBKpgJzskRfereqp1Mx0eeCbl2T22kXqZ9zfGNP//PNPRQ7TqOetW56Rni27SMH+Qnn4+//J61c8qnpUrNy+Xm7//GlTFmLKGyAcyccl7oQFAOZ9kKmcC5Gwv7wRqBoswjVs2FApUommCkcQlxVqW3+lSpXUWEjNEK77xWrYJKqNiFBlamUazSJSdCaqP3Z+B8lI0YSyLxJAcHxJJCoKFiehnO07oRwMMnODt/PnOpSoFKw2igNiuVuzDipn0FWNGVv5SC5q+clEPVqJqptMlZiJ6visRF3YMA+ffvqpmkxec801pmWUYoWysmsoBZDOrrIaTE55P/cM1FAQqa7qU0jpkKlPHWAfjxz3hfo6ueJheTWlUKIOR5bSpCQwJ7ix/yUy48nv5MRWXdW95dZPn5LHfxhVjAxYOn+Weu7Uw7DS+o2sbcZzcnECQsNVlUo8hZWqVHcC1VNGKnlwVhfBujkGjXSsIl7YryjnID3NKPYgDK666iq16GSj/AGV8dlnn61ItVABEg/yyVumN83vTmvXU339x+IZxSz9ExZNP+r3N+824ibMaihF3AcK1JYtWyplnieEK5Hask4T1XSqQ4NWag790tgP5I1fP5FJf05SC5Ooy9lumkZViq4kL1x8n4p62Z6RJqMmfCYfXvesGiPGLZwmH0wJfaOjSAH3WRYByfomRoX5Ehn74WzzL41ABVyPkMOobbkGwtG+zritFyRpBBYqDBs2TGWPv/XWW3IswiZRbYQ9uIFVdajyaC6licNdOZnF8hS9gZv37pyMYnmKkQB/mkulZZqT91UazFCi6kxUumLa8Dzha1Sznkfi0J1E3VcOMlFdG0vpr/XPPEFfw+77wkbwXYifffZZRQoGC+zuFF0UXFba+JmkU+hanYOqu9JCLnlqumMlkQqJRldbJvvkkGGhDLUC9Lt/x8msLUYObJWoQxIXdVjEoRoPBIzJWCgpXHQGIMeSTs8Qd6idUH1goRs/frz6G/09usijkqShBaQYBTuEI/uJcy6YYo2c8dF3vin3nDlC/Z+C+f5vXlT7nm38d7KxLdFVArTHaiWqFxLVXZVKAw9UqXzGUBCo7s3T8vLyVJMbq0GBCrlppYoGspZYEbM+D3lwEyZMUOeijfIDyL8vv/xSKaxCBe4vLJBBzrvb+F0xuPMp6nnyslkqwgsSlcX2RZtXyOrUjR6FI1p0EgwYzzjPuYZKG9PDlUglFu7x82+VU5p3k8ysTPl5/p8yLX2x9DihpyJPXUGU1v8uf1i5nmhAOGPVfHlm+F3qZ8/+/I4s3LSijD5FZID5CfMU3DK4hBirZ8yYIbt3m9e/I1QEqutn6ty5s5prWrngFwxq1Kih5gxmNVL0lTh/4YUX5Pnnnw9pDFG4wCZRbURcLmqNxGQ1cYBAzcgt/aKlg7C2PUeS+hELSUmZqKB2soNEdYkrsBIogXWUQKDgeETasShroEIA+7zY+SM5E7W4nf9gqY2lXDNRw3EiE4l49913FcFw/vnnB/1akGNWN5PSNn6UrlZ3EmeCTfMbVvlLigywgkjFVgqJRiFC5iv5jqEGOdgjf3pLMg9Hy2GJkigaNPLwYQEToGiEKIUkZb9g8/v9998VOTp9+nRVYFFw6wk4BCId1VG0YKGjKzKgKON7nKcUC5xbWMBREkGMQbDSLfi3335Tz5CtqDJSU1PVIoGv9wruS/eddZ2MuuJRqRBVQb6c8Yvc89XzitytWtHIYb778RfU+6MUfeONN9TXPh1vl6ZSvhQn2Aix13M9QTCboQotjUB1bSDCe0Mem03ilqSisdLWjzoKwt2MJlMUq7fffrutRi1nwJp69dVXO+87ocCmTZvU/YPxrCT0aN5JNRzNzMuWueuXqP4QAzqepH729cxfnb/H3EiLFWo66ohAwX2TezTP3lSykUCkcs3PmjlL2sTUl5v6XiK1a6XI2t1b5Mkf33D223BF89qNZKSDOP1h9nhpVKOeDOnaVy303/jRY87eDjZKHsOIpiD6BrUiKk7G5XDodu8Pger6eZiHZWRkqPlMOIIxjnOdfPVQoX///mr8fuWVV+RYg91qzkZEoKojF3VvfrYqcmpUSZb07D0qFzU5ruQmR7uy9zgH8UjK4TyiRPWed6ozS/1pshUoIOzICXIltQMBXUOBTaL6Dk92fs5pJ4kagUpUTZTqHFRw0KFE9aWxFLDVqMED9R6TH7qN6wZmwQCCBru7lc2keA/Of6tt/BCAKHAgMX3JH9VEKoQehCG2+0BUsnw2CCW6pvMaFCBlhbcnfakaa7Sp10IkJlMkJ81QoXqw80MEUGBAiOoHBCYNvyDseGDdJnMXQhjyrLSiHFIe4g8StTSVNO8PiY2qkUKNBypimhfxt7w/JC3PqKogCr3hohOHqMWrWz59Ur795zdpelZ9GXFKV5HdS+XOJ16Saxr2VWQLROcDDzzg23F2KlEbiq/AQogqlQIUNS7W05K22wwCVQNVHOcf700sB+S11bZ+FkdOPvlkS9TWnHOo/SDdsZwG+x733nuvaugBwc5xsRHZQNn+66+/qmsklOMv93rOn9LuIcyL+nc8WUbPHi9/LJmhokcu732OTFw8XRF9D51zo5ofaRUqrh2yU4MBOcIQMlwv/oxlmkjFTQC4T5ZFhjbjASQwxBIqWsZyxp3OrTvIc7+8o5oIPvL9/+Sx8251Ovs0aN512clD5auZv8rIn9+Wd0c8LYs2rVBRCfd9/YL6f6TngocC7G/doAnykcVT7ps4EKxaaDebQNXgd1lcRFnLOW7lPDcQsH3ko6Jsx7lktUsLcA2w+EQEyv33318s7qq8w1ai2ogIJCckOu38oHZVRy6qD1mg2OFpvhRpHeF9sfNjPwRpWdaTqNkFR1ZrgyGj9Qo5Wbc2/FSiupCGqDZ1nEUkK1FdM1G1nb8kJSo/03mqKC5sBAc6a0KODBkyJOjXgryC+GNybFVxATEGGcTKtxmkb0kTbYhQJsoUgL4iWEUqpCHELQpKyLOyJFDzCgtUAQkePPsGiXJ0lFcq1IP71Zd8TuIb2GbszRQnkKeQldjfTj/9dNW9FwUHBBafRzflMvscoWCAoOV8pljmHKGQoJs6hQ8KV7YXsmTixIlK5cu5BMnqCed0HyBPXXC7+vrFcR9Kxfyd6utGHU5QSmtIRt6Lr0sF+2yXg5yp4Z/KjfchJ5XPRwFK8Wc1gepK4nI9cy5bnbXG+1jdHIPzgvfg+goWHPvrrrtOWRltRD5eeuklufjii49qmmQlUJlzjfl6nx/Y6WT1PG3FHMkv2qdyUutXryNZ+dkybuHUYsKLlCBVqKi2UZJy72QhzF+UpSKV99KNGBlnUMsx/mjSrnW9pvLcRfcqxx8Npx7+7hXZmO5wCrjg5oGXSfsGLSW7IFdeHPuBvDPiKTV3/WX+n/LtP7+H7POUB0DwMVYyJjOGkZcaaot/MASqBnMbYqT064QbIKuZK5jVSNEX9O7dW6lgcbUdS7BJVBsRgWSnEtUodmo5m0uVTqLuyslwDt5VIkj9WDOxuu+ZqCGw8+/Nz3UqSEtSCpYGbYOpEkGq4HAhUV070uumUkwQI6VZmit07inZXu6NpUo6v/i8WplLEWEjcBCQT+H44IMPmkJIQk5RDFarZiwAWTUBDoWNH7UaZAuTZX/JvkCJVDIoUTjw+xCoFKFlCRRPjLlNajWQAZ1OciooDx3aL0WFBWpbsc5DnFNYMJGGMEW9SMFK1lygqkkzQUFBFAPWQk2s0kkYdStFHJmzxAxwzPm/q21+RJ/hMqzXGXL40AGJznNY5DSZ7A/2rBfZv0+kcrxI9WZ+/znnFEQ0imj2OwpbqwlUDfYbBDREuZVNNUJh6+dcYFGE9zAjHuGee+6RcePGqdezEbkgOuXrr79WqvJQAdU+ZL5PizAOdGrYWmXm0/zu9/+mqLnSpSedrX721YxfnYtfwbq9WFhCYc1CWDDjeVkQqa6NGGko560RY/3qteX5i+6TxjXrq4iER394TZZuWX3Uov3IC++WhJh4WbJllcxfv0weHHqD+tkj370ia3YUz6K1UTpwNXBOsKCFu4LjFIpmTWYQqK5xLsxDcWngWAon6EaKjPmhajIVFRUlDz30kLz22mumNG+MFNgkqo2IgLaPH1Gi1vRTiXo44poZ+aRE1Xb+ECpRg7Hyu07wIkkVXNaI82Dn3+di5Y9ES5FWk2ri1NXaX5ISFcRXNlQRthI1OIwePVpNLC+66KKgX4uii/xErERWQdssrbbxU/BRVKPACbTRlr9EKnZDMjZRJdHAqqzJR4rdj6f+oL6+ts8w2V+0XzIOGUX5wf2Fcmh/kcoshYzE6skxgUiNlHsRyioUG+xr1LKoKCiGOFaoVLGAonrm87x0yf3SM6W2REeJHGTaXMVoRAL5OmrUKN/eMG2p8Vy7HVVOQNvMtnB9kU0IwYE1sjRSIlgCVb8vRRkkJ3Z7K4kQ1J1YPa18H85bPpMZWa8Q8Zdddpm8+OKLpmybjbLB//73P6VY98d1EAw4tyGPsJijnveHILnoBMM18u2s35Qb6eIThygydfa6RarBFFnOQNc9/gI3BOQQ90eulWARSiLVVX1KY6PSYniqV6mqsk9RmzKffOant2TW6gXFfqdB9TryyLk3q68/m/6jdG/WUU5t20PFm93w0aP2PDQAcHwgIU877TQ1zlqtSjWTQNXQcx7mDGYsyEV6k6kzzzxTLZx/9tlncqzAJlFtRASSnY2lsovZVHxSomZnyGHRStTyRaLWdtj5schrctJqJWqwJGpBUcFR2ZY2/Lfz6zzU2OjgJwNlgYoVDKJURxK4Wvu1SrX05lJ2JmqgoJChqyYZRmbkUlEcYYNEZRDJNv49e/aoJj6oV0rqlGwmkUpjEYpWiLyOHTta+vl8xYrt62Rt2maJrVRZWlSuI5MmTZIsMY5tdAVymitJk0aNArJ5hhs4/8k249waPHiwIs8pilB8QmzvTE2TR/qco353x8GKsjw1ALt5mqMrfB3fVWfeADFAbii2dwpDbwWcGQSqBuck10RmZqblmZEQxVwzVtkR+Sy8B8p5MxRQ3EO/++47FWthI/IAefPhhx8qJVWowIIjZGUgDazO7NpHkuKqyLaMNJm5ar7UrZZSrMGUdvLoGDN/5wUs0DCOE69hFqwmUn1Vn3oC4hoyUU9oeZyag746/hOZsWpesd9h/57bfaDa7ifGvCFPD79LRQGs3L5enhjzuqmf5VgC5xljmValMvcyW5VqBYGqiWCcSiy+hpKs9BVcv+QZM6cNpRr15ZdfDomyOBxQ9jN1Gzb8aixlqCFTnA2VfCNRIzkTdQ9KWi9FEqHx2rKzM8taS/9ehxKVyVuggDDTCspgA++PSRLVg50/EptKgUrazu9ComqSSROspSlzbQVA4KA7OplnNMcJFhArvBYWbiugJ8EUnFba+LE+YVmGzKTRjRkojUiF6CIX74QTTlAKvHAAxf33f/+mvm5To4nUrpEi/fr1k2ZdTlHfi9LXbGH45YGZUQig4oBQHTRokFoYgOSusHWT+vn2Q9Hy3C8B5H6lOYqsuh1N2U6uAxTAKMA5Zz2dV2YRqO5NNVDAmpEpWpqtH7LFW15tsIA0RwFoRv4q9z2aahyL3YnLA9588011nYSqORjXKuc2RH4gjV/iK8cqQg98849xn6bBFPh+9jjnYvvBANRxRJowDnbr1s10V4FVRCpzD9SnvJ4v6lNPIBLrnjNHSP8OJ6nXGTXhM5nppki964yrpXntRpKRmyVvTvxC3rjycfX9L6b/LFOW/2vKZznWVankqePw4DmcCVTXsYoxEQU084RwAo0UmTMzvwxVHvGwYcPU8fz+++/lWIBNotqIyMZSKY7GUrt8tPMfyUSNHBK1hoNEhWTSBKYn1E7WuajWWvo1gR2MEjW/8AjpRedQG74h1qG8LKZEPXDEzh+JqOiw7Gs7P9eor0pUfe7YmaiBgX393HPPyV133aUmWsG+FpM0lARWqRK18s0qkhawcg4ZhQWKDEgz4Y1IRQkHIcXPrOx87itQVFBEozqdumK2+t4lfc9Rxb5S5SY7skC1wqnAu0uiPIDjxrmg4grqGIuVqYcqyeRl/8jCdX4oTw4UiuxabZoSVYNrl8KQ44aSWas/rCBQ3ZtqYLe3sqmG1bZ+Cj2UOlx/ZmTaocD56KOPVCyHjcgBJD0kaihVqGRIc28JhOzTGN7rDKU4/W/jcqWGpMFUi9qN1Tx94uLp6nf8tRgTYYOaOpgYm1ASqfwt9zrGVBY+/VGfelOo3zTgEunX4USDSB3/aTFrPw6oZy+8R7kz5qxbJFv2pMr1fY0opHu/el41n7IRvCqVhUuaPkJMhjOBqsFiHOcealRyjsMJkNPki7PQEApER0crZwYut3CLOLACNolqIyKg1Y/ZOhNVN5bK3lPqIEynykjMRGVlVDfUQk3rDXWqGpb+nRaTqNkm2Pm1cpA8zEhshhROdn7XTNRIxJFM1ANHWc9Ka1x2RJlrk6iBgAkqZNlNN90U9GthFUI1QLabFaDZEkSH1Tb+RYsWqcIRO70VcCVSIWvZ/xTTTO6tbpJVGiDfIHT//PNPVXC07thO1mUYnYoHdDS6QStUdeTjkV3MmJofXgWDVYBwSzhgKGMqVTPUwi/88I4q0Hxq3JC+iopOJL6aSGJd088rVMwULNghOY5WEagaLDSgcIG4RbVsta3fKps8anOa5kDEBAvuT5Dtb7zxhinbZiM0+OCDD9TiHCq4UIDrhesTAj8YpSdCEm3hJxuVOdPtp1+p/v/zvElKhVp00Pdrc9++fcoKT96yVZE8ZhKpLESywELkB68F8WaGcpbXuHnApdKnfS81J31t/Kfy79qFzp+jRL1nyLXq63f//EbO6zlImtZqIKmZ6fKkbes3Zf9zPaIKZ05Gw75Azo9QEaiuYwkZqZyTvjYSDQWYH7A/Q6lGvfLKK1VECg0XyztsEtVGRKCKw7Keu88oWGomVVc32/0HDzjVqZ7ATaOYEjWC7Pw+N5fSStQQ2fmrxgVOouYV5kccmR0O0N3oyUHVGaKRnomq1aZaferaYEoTrP6QyjZ8x+uvvy7XX3+9JCUZizTBAIITFapVyhWKLBQ7VhKNKB5QkGFhtJKo1YQX+a7YiPnajGMQKCg0IHLpTI9SAQUS27Qha7saM1vVbary9pyIry4SHXuESM0PTdZWWCDTsOq1bd9HPc/ZsVyNZ5MnT1Y5bpB9pVr563SkSrTkvKJBFkQIJCrH0WpinsIMdbKVWXCoWnR2qVWFKYUv14AZZPC9994r7733njoONsIfnFOoUDluoWqIB2HPPZ8GLMHikpPOUs+Tls5U/SGw+DeqWU+pURFVqH4QPhAn/A6N9NgmFkhCgWCIVLp/z5o1SynsWLhgIcRMcC7cMuAype6FSH113Mcye+0i58+HdusvfdufoObiL439QF6+7CH1N9/M+s229ZuEOnXqSO/evdXcjEVnf+7PoSZQXVWfjFmcz+EEGsRxryOHORSIjY2V2267TdUZ5R02iWojIqBt+Lp5Et27qyckO9Wo3oC9oujAfqfKLdLIu2oJRoGdmbfX6+/UrhoaO79WoibFB75Kre3XZDrZ8B2x0ZWdk3ytQI30TNRoh51fk8Ku2ahc3z6Ryo5IAxu+g4nUb7/9JjffbHSbDQYoUFGiQqJaAchGshet7JgM+aWbUQQbbeALdAYjBBQqi7JQLVCw6i7GbA+fnYJF58Cu3G4o8zo2dItP4B6kLf1cr8eIElXBYcdv1r6fNEtpqBZwMisXyimnnKLU0hDRXhsVbZljPNfrbNnmkcfGuYzdniLO6sYOjEeo1rg+rbQKsoBSuXJlRXRaFRsAqWVGnh15jLVq1Tpm8uAiHb///ru6/55zjpEnajUg11FOBqtC1Whbv4V0adxOzaG+mPGzmjfdPugK9bPtGTslb1++U7hQmo2fXHPGgVAiECKV7Zw+fboaP/lbq8ZsFlNvHXi5nNq2h1L1/m/cRzJv/RL1M47d/Wdfrxoer03bJKu2r5Nr+wxXP7Nt/eaB+zLjK2MZTR4ZZ8OVQNXnDFE3jFXhZOsnd5k5NNdYqOab1113nXK8oYAtz7BJVBsRgQSHgjTXZUKQUrV6qbmoWsFZIapCRCpRq1Wpqp4zcveWbufP2h3+SlSHktjOQ/V/cNZkqVZfRnom6hE7v1aiHnBOUEsrMOI8NNqy4RtQStGBnNVpM1So2OismqhCMpJJSeaUVYBAhTwMJp/OV2DjZIKN1RrS0luzKSsB8U3HeRSERDD06dNHqY9cr7kVDhKVIv0ouFr6jxUSlXtthkHiRaW0loGdequvJy2ZoUhLVKA8IBMhU7GfOwkB7muaRG1i2G/Nhs5ApWjkwXt7ajZlNrguySLEdmmVrZ/zEjUqn8+q9+A6gNwKdn+xrbfeeqtSN4bKOmkjcLz11lty4403KvVYKMAiC2rP6tWN2sUMXNfXIO9+nDNRWcqHn3Cm1KuWIvsP7lcCk7RS6gKIXZT0nTt3VosVoYY/RCoLwChQUfxBVgXSlMvfefdtg66Q3m2OV0Tqq+M+kVWpxiJojSrJcq/D1v/x1NEqo7aJbes3HZyTuGOYo0GeYxMPRwLV9XzG3cB2hJOtv0GDBsqxEqrmV7Vq1ZKLLrpI3n77bSnPsElUG5GlRHWQcCDFJRfVG3SWaAVHgRhJjaVA9SrJpStRHXb+naFqLOVo8hUIbCVq4HAnDrUilZD7SITOPSWSw7WTLORqaSSqbecPDBRMZMBhtQkWWOnS0tJUNqIVYLKMytWqrFWAGpP3CYUCB5IGsgsCFYWFt2ZTVoECA1IadQBWuf79+6vGPZ7iC1ZsM0jUdg08HNsUhyr4UNGxQ6JmbDCUtzGJKtN0cOdT1Lf/WvqP8/6FohFinHMJ9QV5odhOJW2JSFG+SFyySEpb0zfNvYmU7haMemf+/PmWN3fgHKJwtNLWD/EEWc2ijRWoXbu2KrjNyF694oor1HaST2sjfMG9EHUbiqlQgHsB55fZrooeLTpLj+adlJPng8nfqV4Dtwy8XP1sW8ZO2ZaRVqqNn/O/bl1zs5rNJFL5P8eLBU8a+DDnCFX8AuPj7YOvlK5N2yvhwvO/vKuIUsBiGkpV9v3Lv38or15+xNY/dbl9/Zt5DBhXWUzjvsp5Eo4EqgbnJ+Qv52y4gPOSew9jU6jI3dtuu00+//xz5Sgrr7BJVBsRAU1+QppoxVqKw8aeXkLTJZpKAT0mRxqJWi3BFyXqERLVyoLJSaI6mnwFgnxHHIOtRPUf7sShzkSNcXw/UjNRnXZ+x3VdWlMpVzv/PtvO7xd+/PFHRfb069cv6NdiMoZ60wqVKEUTRBSTUasmw7qRBpNzqyfckLUUhygqIIM0QkWkavUpSkmIPibT3lQ8XI8b0o3srNZ1PcQ01G7v+MX9x04m6q41xnPNlirS4PhmHVTTx6z8bFm2dU2xQgVVL7Zuju3UqVMla+E4OSyHRRr3ohq0lEB1z96FuIEksVIVGQpbv1ajEj1hRd4or89iDfsz2DkUTXlorPHuu++atn02rHFkDBs2zJRsUl8X0SArrcjAvmXgZep5/KJpsn7nFpWVinuv6ECR/LZgcqk2fquaKZpBpPLMAg0ENNZu9mGowZwU1WmLOo0lZ1+ePPPTW0rYwn3jgbNvUI2PV25fL6tTN8qI04apv7nnq+ckd1/p9vNwB0pCXEvEJrA4h8PBG2iWef7556vfZ9+MGjUq6Nd0BX+D44PzQccihRuBCvjsNBpE9RlOtn4WzyF3rWrU6A56DHTo0EG++uorKa+wSVQbEWXnd20ulZJkWGIIVC9NiXrwsFGcJsQYDaoiBdUdJGpJStRaSdVVXAGKmIwSfi9Y6JyfpPhgGkvZJGqgcBKHThLVkYkaHel2fq1ENa7Rij4QDTGOZlq2nd//wvGGG24IWsUBOUMBZpVKFIUrXc+x7VkBCrNQ2fghMOnYyoTSUwMMK4lUV/Up5B5FqCuJ63F783Oc1yIdoI9C7bYuJKr3hoeRCIgvSHWIDh4QkRMmTHDmoUqt1s48586NDUWZK4mqQaHC8aaQKlwzVQoLi6SoXveQEKiu5xUFKsSma8FpBVhIoViy0taPBRrCC0u0FdANdVjwCBZYxEePHq2U9DbCD4wtKKQ4TqFAUVGRIlSsGi/bNWipGh0xrr3759cSVzlWBnY6Wf3s1wV/Oefd7mN4Wdr4fSFSGb8Yp3fs2CEnn3yy+nlZihgeOedmJVpBsPLsz+8oZx31191nXqN+58Mp38vFJw6RxjXrK7Xqy79/JJEMsp3vvvtueeKJJxRJybkyaNAgSU83lLierivy8V944QVF2Jnxmu5gzsa4zPmhF73CiUANZ1u/mYuFvuLGG29UdUd5jbexSVQbEQEsKjxcc1F1Q6VdDrWpJ+xyZKJqoiYhNq7cNZaioKuZWM1yS78pStQiB4laObKOQ1gpUbWdP9IzUd0aS2lbbGlNpYDdWMp/oBLA3otKyixVjRVFDZM7VKhMQK3KqoMogeCw2saPag5bN5/FW1FhFZHqrj5lGzxZ992xxzFmorT0eC1qSzoLk3u3BXyMs/KyZWP6VqXgWbpltfy3cZnqgMyDBh78f9HmlbJ062rZmr1TVqYaSp91aZvV323enSpb9+xQxarRiXqP7MnNUq+bU5CniAM97vuTG0YBuGDBAnWtoCgdOnSoZK2bZ/xCrSONtjo4mm55IlE16ibHScqhXaof1/QtB1SmnxnFRGkEqkZcXJz06NFDEem+FqmBgmxkiGcrbf2oUVHRECViNrg2KDBR2Ad7jGgcdPzxx8sXX3xh2vbZMA8QOQ0bNlTXTyjAIgYLaGZ3kXfFjf0vVmKKv1fOVffTEX2GqbkhopO3J30Vljb+kohUSGfGL+5bEKg0kiprVI1PlMfOu1X1hcCt8cpvH6ox5owup8lJrbupOewrv38sIy+8S/3+R1N+UONbpOLVV19VcRdXX321uqdBhrFg9sknn3j8faIWXn75ZZWF6Y3M9Pc1vS2oce0yBk6bNi3sCNRwtvVr0QDOkVBg+PDhat7zzz//SHlEaNK0bdgwATSFyjiw10WJWuMIcWj0VjoKu7Mz1IRB5y2yQhuJmagl2flBneSajhD5XdK+gfmr3exDJ4kaH7gdybbzB47YSsa5W1C0Tx2P3IK8o1TakahE3X+UEtUHO79rk63IuqTLDO+//76a0ATb1IKsRZQiqAGsgCaayFq0Aq6NNKycdEOEYlNDOeFLbqwmUplsQqRSkATaOIMCFDKL923VqpVP5KmGHmuqO5oaHoWYKiLJDUWytopkbjYUqRWNBU5P4FhiMZ29dqEs27ZWNuzcoshPcuR8wmGR/IJ8+XzlBJEo/5UXtZNqSKOa9ZRaq3OjNtKtWQev84CzzjpLJDfdsO9nbZFnB1STKvPipdJWRwFwsEgkb49IQg2fSFQaSrHJMXXbSvuefRRxsWvXLnXuBXpsfSVQNbjeWSyAFEaJjN3cSlv/lClTlKrTCtstBAvkFyokSEqzwWtT8JKTTGOMYBU4zzzzjNx5550hy2+04ftYyPEJxXFhvIRE5X5uJZqmNJQhXfvI2AWTFWn66uUPS9NaDWVV6np5Z9JXctnJQ1XDKT3GssjGIlE4gnsUsUM4UmgsyWJQuKButRR5+Nyb5PEfRqlFvvf++lbFKTw89CYZ/vrtsmzbGtXk9/TOp8qExX/LQ9+9Ij/f/U7E3QNQT7OY+NBDDzm/xzyCLPV///23zF+TBTsWJRhPrYx9MsPWz2IAixWc02UN9jf7S8dxWX1exsfHK+EG91yI7vIGW4lqI2KQ4NZcyrWh0iEvyoEdWelGHpmbmi9SUM1RyJakRHVV5UKiWoGC/YVOsqtqfDBKVCPPLMEmUf2GVl9yLNiP+ngkxZX9Cn0wmaiaTHE2lvJFieqmyrVRMlA4fvnll3L99dcH/VoUYKhCrFDVQDxi1yWz0x/iLxAbv7bvWgGt9OEZYsnXiWqwilRtf4QIIjsskP24JzfT2X3YK+p0OkIqQqZ6AIrQz6f/JOe+erNc/Oad8vrEz2Xysn9k465tzms+MTZB2SHrV6utLJBkzvFoXruRNKlVXxrWqKuK1uSYKur3alSpptwZKILIN4cMZUEFxSwqLHew/9P27pa565fIZ3//KHd9+awMev5qeeyH11QB7EROmsjCb0R+uV3k+6tFpjwvhxd8JTv//U5OqHNA4g85lI+rJ4l8d4XIxMekTbxBHG9ILyFfbNMs47nJSaqIOvXUUyUnJ0d1mA4k29NfAtVVJcqiBKpoq+z2ALLDals/imrIFUggswGxzX4yI/6AbEAKfKI0bIQPWFziHnnZZUaOqNVgQYvxkjHHalzX90J1L1ywcZn8t3G5ym4mr5PF5ud+ecdp42cfMC6Fi43f0xhNMxruczpPPJzswC3rNFEZqYzrU5b/KxMW/a2ib+484yr18w+mfC93nH6VagbL4uGYORMl0sBCEvMP98Uw/s/9tyxfU1v4OZdZzOcawx0VjmDhj3kYkU4sqIQDmA8wx7Qqw9wd1B0//PBDuWwwZStRbUQMdFMoHdZNNo3KAj1wQHLpfusBkIqug6/ucB5pjaUyc30jUXeWkA8bDLIdKlT2dzDKR6cSNcIUweGAOBfiUB8PrglfSMdwRMUKDju/gyjSpLBvSlSdD2vb+X3B+PHj1Sp4sPZF7qUbN25UWaVWrGDz2hR2VuWUahu/1QocSBhsiJBm/ioOA1WkovLg93lGcRio/TG/0LHQVVITRnJRV40zVKioUWscaUBVdGC/fPvPb/Lx1NFKNQ8gOrs27SDdmnZQJGnTWg2kZlJ1n6I7IOM4f8844wy1b0o7Pw8dPqQWVVG241rZnrFT2f+XbFkl8zcslR1Zu2Ti4unq0aN+E7m9boy0zsCCbswTcvPy5IfJC2Tdnv2SXhQjd94wQqI2firC/YqmWpmbRLb/Jymb5qvfz8zLVveuoz4L97N1U42vm53iJBmxpkIyok4hs9RXMjRQAlUD6yS2R5RAvK9VChQKNKyCqL27du1q+uuzD1GnEflhhR2b5iWTJ09W+X7BNM2jaQrK/6+//lrFadgID9DkhIiO0rKhzQBzG8gdGjeFQolYJ7mWXHTiEPlyxi/yyu8fyeAup0qTWg1k6ZZVisi75rRhcjhjn8oWLilepqygm0hB7nCf5PpDvcaiE4CMChdFJ46GK3qfqxYKP/17jDSuVV+Gdusvv/83VRZvXimj54yXu868Rp775V156sc3VEYti382goOnDFSIVOZLLBgzNoQbmC8z9+RewCJgWYP5JNuEGhUC2+prqn379upBY9trrjHyg8sLbCWqjYiy87tmokIe6eZSmfuyj/p91Ho0ydAcKg14rFA3haKxlGuzj5JJVGsyUffm5zpVqMHccO3GUuY0ltrraPIVyZMyTTqgStPkh6tCtSToHFjdZMtG6YXjpZdeGvRkCSUBK9hkR5oNyDJIIsgeKyZ1qAAo0ChorbR+QZ6iBCWLMlAbor+KVAqK6dOnq7+DsAkmP66CY9+XqPyp0954ViTqJue3self8c698tYfXyoCtXW9ZipDbtLDn8vrVz4mV5xyrpzYqqtSl/pCoPoLzhsWYXhtFlrICqcB1DndB8jj598mv977vnx644sytEMPqbgvS+aumiNXTZsun+wskIP1uoj0vkMqXzVaTvnfQjn/9VlSq9/N8saHXxovXv84kfPeEhn2oUizU6VadJToO9VuT+Pu1rkiBVki8dVEGnYvVsBALtKAA5UiDdqsJlD1vsECn5eXpwhIq6Bt/RCpVnUmJrsUJSpKT7MBcUNhyYJOsEDtiAKHhQ0b4UHAfPPNNyFToUKckOsdytzRa/teqKLOtmcai0cstDep1VD97JHv/qe2iTE2HME9jvsG5JhewHBvNhVOitSzu/WT3m2OVy6qV377SHbnZMp9Q65TYpNJS2ZKj+adpUXtxur7L/32wZE/PFAosne7SPoqkW0LVOyLbPpXPR/eOl/2b10oOZuXyJ5Ny2Xb+pWyacN6dT8ikgWwL3gwdjAnIyPabOU/ymnGKne1Iv8PlIAP9jW9NZHCFQWRyrjmy3gaajAmQiIyjjOnCwewWMh+zMwMTXPQyy67TNUh5Q2RxSjZOKZRJdYoDF07TdarbtgCMvcZyjxX7MhML6Z61CRUJCHZ0VgKgkkTmSWRqOlWKVELgs9DLa5EtUlUf6HVlzTnynGQqFi1IhWu6joWCLQSVWel+rIvCm0StVRANowbN06RqMEC2xRKs0DzHEsCq+Kog4LNIixJHQqpaZXKFVDMUOiQeRls9qyvRCo2uBkzZihiG9VqsM249EKjXtTwCBSZ2s6/xyCbaAZ15Tv3qfxTsryfvOB2+eKml1WhWVoWOQUg+46CkCKIYoOCGTJaZ6UR88D3KLRpLgRZTRHA/vG1sI7aXyAdtk2RRwv+kZ9bxEif5Bg5EB0n7+bEy8OZVaWoWR+pnFRLZYZ169ZNnn/+eRnQruYREhUk1RXpc79U6HO/1Khk7Kvdsz89+s1WOyycLfuLuN3TdJdcjhexDxR/3j6DGQSq6zmFCpUCnFgOq8B1htKlpM8VDFCrc4ysen3UTJxjwTZ445hxT5swYYJp22YjcHCfxAI8cODAkLwfxBfnUijVk9Q7ulv83yvnSOH+IqmRWFXdgxduXiGbDuwKSmFtFSBPmQMQQ+O+CBiuRCrH9eYBlylnxd6CHEWUEkNzXo9B6uejJnwqzwy/U3396bQfZemGpSI7V4psnSeHdq+T3J2bJG3rRlm3eqUsWfyfzJ/zj/w7fbLMmfaHLJs5UTbN+1Mylk2RvBV/Se7qGZK3ZbHE7N8ru3dsVfuLOQ028alTpyq3xu+//y5//fWXUu6yYMw9nviYQPYX91jGQFT5riQm/w80Dz+Y1/RGoGow32KREJeHFVEvwQICGTcYY3k4gLkAc3kzFgt9Ac3GuP+GI8kdDCLTB2rjmIS2F+rGUqBuMkHpyz0qUbHtAQq69elbIi4PFVSOrqRy43L25alcVG/NPmpXdTTZyrZGiYoS1gzSTmeixsfYdn5/oY99Rm6WMyM3kpWormQpatRDfjSWinMsiPB3OkvVhmeMGTNGNZahwVAwIMMRwq5Pnz5iNiDRmMwxkbai4EQJRoGGOtSqghbCBbKTTEUa1JiB0qz92MMgGmleYBY5rPePt5xxhRrNDWKQazZ9pWqudPeXzylleKdGreWFi+9XGaae1MDkYlHk8OBrbNPsO8hbCiNs0Dz47GyLzhHjGHKe8LsQqJyPEKj8nL/lb2g2AdHIA/KK7zmRulhk+msieca8oG6LE+XFi6+RcRvWKMsl2XYFX+2T/13+cDGVbKsEx+JlPQeJqtH8NKlWtZak794pWauninQ/X6RWqyMK3bWOQrG1UVB7AopHohfIKoVEpsB0Pb5mEqiuTVsoNml6xmtCUFgBSE4WXThWVjSZQsnL+Y8aFXuy2QUv59+OHTuCUt1z/rJ4pS3kNsoWHIcLL7yw1FgQM4AKm2varLHAH/Rtf4JS/P+z5j9F7tVKrC6nte4uE5bOkI/n/CxXnX5hWC3AQ4xBkKHQ9xazoInUcLP244p64Owb5L6vX1ALiO9P/lZu6HeR/LV0pvp/2t49aiGRhl8PffmMvHbC6coNsLfwsByonCQJySmSVLORVKtaVeJiYyWmUgWJrXhYog8VqUU/2Z8vcsBQsrc9eEBmz54jx9dpKNExFURiaorEJMrhmCTZXyFW9hUWqnGRhQLGV+ZUjLHsJz0uskitFaGl4e6771ZNgRgvmDuNGjVKbfvVV1+tfn7FFVeoeQeLjXqM1i4Hvkb1DKnJmKOba5b2moEQqBqMM9jlGU+JUio2/ocB2rZtqxxDLDCGw0IGCzwQ8Khkrd5XdevWVbXDt99+K/fdd5+UF9gkqo2Iy0TVjaUADSm8KVHTsgwlKo0oQGlqmHBuLqVJVG9IcShRsY0cOHjA9JxMncEZTFMpkOeIYojUjvJlieT4JDVhQ1mwMd1YzUuKKx8kKsSIU4nqw+TOdUFk/6HwCGsP58LRDPsiyixW0q3o7o1igtcNVr3pDRCoWL6sUrkCyC6KFSbKZsIbkcr7QbJRVJjZ5CtK9ZM/0ujNIypWEqneTGT3Wtm/c5Xc+cVIRaD2anmc/O+yh9TiH4D0hETDrodtDFKBAkgXdDT3QnXkSpp6y0QlhsET+QGJqgtHCkYeqB14L143OSlRmmdMk2qp040FmsTaIifdppSlvNuQrg0U4XvvVy/I+LlT5HDefrnnzBFKwfPtN1/JQ7GMfVFHlKiu+6oy14LDmjjrLZGhr8OciWz+V4SF3YTqIg1K7iIPOQCRiuIWYpPCkuNrBYGqAemInQ8VE/EPVpARHCvUthTVvJ/Z74Hims+AGstsEpVt5bVRvgUbXQKJyiIH52UocjhteAb3iNGjR8vEiaFp8gOBBYEaCsLW0/lL46OL3rhDNfiLrhAtCYdipGG1OrI1M02e+ektefnSByUcwEIYpBf3itKaPYYrkUpTqXuGjJCnf3xLpq2YI63qNJVbBl4uI39+W94c/7nc0XWwTIiaKvN3bJFZu9NlwAnnSIta9SUhNkai9ucZi26MqZXiRaI9NPvC/l+YI4dzM+RAxTgRmihCrB7YI5K3R41jlaMrS+W4apLEmFOzgVrM1QQkY5leuMT5AMGpc3EhHr2Rkiw4sEj1+OOPqwV0Ylq4fvSiGHNC14g81LHc6zReeeUV9YDQnDZtmk+vGSiBqgFZy+8ylvL7VrimAgX3f85x1NRW5IX7C+bcEOqMc6HIar3sssvk1VdfLVckqm3ntxEx0B3ddWMpULdaLe92focSNclB/EWiEtW1uVRGCc2lyE6FlMK2sSvb/ByyIxmcwdn5CxxNS2wlqv9gslgryVAcZzuPR/ioCfwFky/dURtF6QGHddIXOz+LBPr3NPlq42gwyaXgYOIaDLivMNGCWDAbvDZECKvzVgByjYLWyhw4CEJUcRQQVuRuu1r7KQ4gpng/swlU1wWufMeCl1c06qGe9mfvkKL8TGlXv4W8eMn9cqBovzqekL7YmLHhU/igdhg0aJAMHjxYWTYpgFEnoB7F5hdoMQyZRjEAQa5t+P369VONqI5v20Rar/tYKq0eL5kZmbIuupWsbne7ZMY3KWZx7Nmiizx30T1qMWfMnAnSvm939RppS2dKYkyUUdzWLEHJzaLlnvUiuxxWvdV/GM+tBh5l5fcEPj/HF0J49uzZijy1ikDVgOynmIastVLpAgmOIskKcD+iIIcwNxsQYFpNGOx+1k01bJQdWIiBMCDOwmpwn4ZQKssmNw1r1JWrTz1f9YLYujtVtmSlytPD7lI/o/HUrNULpKwBQcbCIPc4X50y4Wrt79Sojcr85jO9PeELKUjLkurRiZJbkCPzt/0nI44zmuB9vPo/qR0vUmX7LIla8oPIynEiayYZz0tGiywfa+SjZm01nB4gOkYkoaZI9aayN6GJHG7US6ReJ/V/SahhjDGQqjk7jbiALXON8ehAoZqPQN5BqhIzNGDAALVwxveYF/3xxx/KZs3XnnJVb731VrWvNdntev1AjH722WfF7sccD/eHJlB9ec1gCFTXTG7eF8I4XM4PDeY9jId8pnAAxwzHCPvaapx77rlqXkPURHmBTaLaiNjGUqCeQ4maVUImKnZ4VwtwpEE3l8LG7Q0MlM7mUtnm56I6lahBWoBsJWpw0I3UNCJZieqqOoUIPeiHnd+1uZStRPUOrDP9+/cP2k4LScgE2wpbLipFyKPSVCiBgkILxYVVZBTEG4o+lDRWKs00kYqiDQKV6AMr3q9mUjWnq6FENDU6jlc8tF+aRR+Q60+4QOb+M1tlsmGD5lyBiOzbt68ikTgGobTXVdqzWmrMeEqSi9Kkaq16UvWCVyW23z2Ss++AIngnTZoky5cvd5Jkvdt0l3vOu14aNGwop90wVDZv2yKfjLzNeLG6nQyi1BtSHBmx6/4yitl1U4z/tx7s+/ZWqqSOKfEGnLMUllads64NriC5USpZ9R4oXIicsKJII3uV+wakvdmgYOccNiPDDQXO119/bcp22QgM7H8zmiv66qxgccuqqAxfcXnvc1XXeFwF2fvzJapClOooD+796nnV/K8ssXTpUjWvYPHRn+MSbkSqEq/s2iW1D1SRaofjJX9fgfy1db48c+ldEhNdQaZt3yCDOveW6glJsnbnZvnmz89E8hzRayhQY6qIVHQoUAtzRDI2iGyYLrJkjMpPlX1uAhrEB7FVRZIbiNRuJwKpWreDSNV6IoiFmBPvTRXZOl8kYxNs5JE/jYpS8wbuyyhEIVVR27PgDqHKXCYcMkUDIVBdxx0cHbhgrBgbggHOG4hLxsRwgJ7Ts6+sRmJiooq1KU9joU2i2oi4xlKumaj1qqU4SVT37vVpDiWq/rvIVaIa6s+S7PzaUgJ2Oj63FUrUpCAzOJ2ZqBEarVDW0ES5RlJc4F24wwHYzADXLmpU9T0foyhiKxnn0P5D5nYlLW9WfjMaSlEUQlZYYY1ikotixwoFJ+QQJAir/1aBlXW2HRLVarCvKNiYiFM8Btv4xhPoaK9J1JKK06L6hk29shyWM6okysGcQnUcUZpS9KAsdm8QEjKsnyYy4RGj+CR24Jw3pFLzk1SxSBbb6aefrtQqEJZkgqHWRjl2bZ/hak6Rnr1Hvp75q8j2/4zX82DlB3rOEdXAYc3bOEtk43SRwlyRKrWOzlEtBShCUIeizrXq+LqC+Axt67eKiNCN6PhsVoBsVAgAs7tTA84X7n3B7huaapCFV96aakQKIIVoumPGWFgaOFc4161wbfgLFpqv6jlUKlWIlsz8bPlh9nh59LxbpE7VWrJx1zZ55fePymzbUD5yz2WxKJBmiOFApHJ/5v1RWtJQEkfEc1c/IE3qNVTuyIWrZ8tZrTuqOJgP5k2Tu7oY48TLC+ZIbo3WIh3OFek8XKT9UJHOw0Q6DRNp0UckpbVI5XiDDMXdsOJ3kbV/iezdxgl29IYwd4qrZmSVN+guUqe9SGySCM0hUbTuWCRSlO91IYpxG0L15JNPVnOZmTNnKnUqx6cs9mswBKrr5+LcgqwMBUHoD1BdQ7rv2WNNI2h/wPHWatRQ4NJLL1UkaiiUr6GATaLaiOjGUmSZcRM4ePjQUcoZbefX1vHYSFWiVjHUKJl5Jcv/mRiBdCvs/PnZQStRyWotOmAUOvGOaAYb/iHFYefXGcFmZ9+GGhUdxBlWfm3n91uJajHREKnQluBgG5ow2cF+ZEWDDCbJTCStKjiZQEPiWJHjGgobvyuwXUOiUlRgx8MKhxXSbKKthmO84V5NFrc7KKpQmv5v4gTJPVxRRYAOrVtZ5XpiGcSaXmag4Fv0vci0l40CtMmJIme9IpJY52jnRu3aKl8WJQ5RAKiiZvw9Xc7v1F/9zjezfpND2CpBg24e3y5Lj4sNOolEVTRI24XfGD9se6ZR3PoInYHK8aWY1VZXq4sN7OYQkFbZ+nVOMJ9NNwkzEyj+IJ0hUs0G5wj7hus8GBBbwTX7yy+/mLZtNnwHBCpxLsE2V/QFjGecMxzzsgZjQ2xelAw9rp+KdZ6+ap5s3ZMmL15iZBK+99e3smTLqpBvF/sIFwBqwWAa7JQVkcr7sLgyZcoUNf6zkDNw4EDluKhbs7bcPvgqlVM6adks6Vm/qcTGxMuyLSukaWKiNE2uLrsK8uXdJQsNotQV5KEm1TNytNufI9KiL4OL8bOcnRK1cbrUzZyvssidVn93MCDHVxep11mkdltD6VqYZzRWZHGvBOB8wPLPZ+H8xXYNQYxbyKx9y+vsyc2SuesWy7f//C4v//ahauxITu+TY96QV8d9LG/++LGs3LZOevbqGRCB6jo28HkguK2IfAkUfCaih4hlKmsVNWCODNHMorLVGDRokBI3cEzKA2wS1UbkNZZysfNDuNRJNtR5qQ77vi4ANamqyZb4CG4s5Y8SVStwzUR2QV7QSlStQgU2iRoYaiQmO0nGqkGqgsMBmgRGhapVXb40lnKN57CVqJ7x22+/KTt1sJZCJlcoRaxo+oQahe6uwUyUvYE8Q7bdqsD8UNn4AUUiJBR2bwgj14xUs4lUGjDquBX3fO3du3crhQpZY/9sXyZrxSCnY3aFQcYVxci8T0UWfGH8H5VP34eNPLkSQMQA5ApkKkRLg0o1JPZwJSnK3SNRO5Yav9TkpKP+DnJT55TXYAETayUNQDbONH6h0wU+b7p7EymuN3JjOb4ocqwstFCJsghgpa2fKAdUyRAOVgASQ6u0zd43KPDNUJCeffbZ6p5sI/Rgvwe7mOgrINcY08KhoQ3jK4taT11yl9RKrC77D+yXx354VQZ1PkV1jGfOdfeXz4U0Vx6CecGCBepeS6PKYBFKIpXXphkSxCLvhcOFjuMsHroe786N28hZ7XuoMenrZfNlaOsO6usPli+RB8+9Vf3OO39+LTv3Oiz93sjQpLoizU8V6XCOoS6tWFmiDxVI1LZ5Ist+FmF8YszxBnJUcVHEJhqLimnLRIqOXhh1B+cMJB/zRwg2xiDcGsypAt1vK7evlw8mfyfXfvCwXPfBw/LC2Pdl9Ozx8u/ahTJ/w1JZuGmFLNm8SibMnya/LpkiP66bJrd/OVImLZmhBDiBgsV/HAVWui0CAU4diF0I6rIGql0Wkq3KLncFc1ecQOVlLLRJVBuRl4nqokQF9ZJTjiIP9eAUW6mys9tweW4s5UqiYkU0G7qZVzD28fzCAvVcqWK0etjwHxCo2m6bFGQ+bThAE6YHDx7wq7GU6/VcZDeW8oixY8fKWWedZUpRyCTU7Cw5VGm8thXNN5gss8rPRNWqHE5Ip1DY+FHtoJJEteOakWklkVq/uqP77u5U9UwOKw2PaAKBOq9F57aSlrtb5kU54kWyd/hUnFkGiqN/3xVZ6mje0/Na4+HHOcuxhPzoc1ofGdq9v3Q4mCFRckgOJDWUw6iD3EBzP73wo9S71ZoYOXfcj2i6Vc3ojuwvgep6fCFSUUHycyvBAgnXIcWyFcpX7h2QJnxWzlezAdHJ+Y9F0mxw76O4DHa/cC8mOiJcGoocKyAegwZ3ZoyFpYFzEAu0Fa4NfwFZyX0DFThNeR8YeoNSo/63cblMWPS3PHvh3SoqbNnWNfLKbx+GbLsYl1lQMXPcDwWRCoGIzR0yDmKRrO/adevImh2b5K+l/8jn03+SV8d9Io9+/6rc/eWzsmDDEtmZmyOLdmyV8cvnSeGBA7KM5oa7dkiXxm1VHu0bEz/37c0rJ4jU6yKH2w2VrITmIpWrGOTpjiUGmUpuqjeVKYuItTsYROrB/SLpq4plpJYEiGHmUOTqQ3iTJc4cwNfFNupwYnFu/PgxeeT7/8nExdOVGIiGso1r1pc+7XvJ1adeIDcPuExuHXiZnNHiRDm5YRfp0/lEJRLhd1FL3/nFSNnsmIsEAsYexp1wykdlfGfxNlzUqIxzoYqbOfvss1V9Uh5gk6g2Ik6J6k6i1nWQqKlZ6Uc1laqTXEv27S90KmzKa2MpUEc3lippdTNA5DiUqLpJVyDIc5CoTOhsBA6tvE52nBeRDE2YYsk/okT1jWC3G0uVTLyhHAi2cKQQQ3nBBMtsQExgs7eieQ4KVCb6qCmsAMQWE3Ia81hp48deNXfuXGUTpLO0O6wiUlvWMQhALHWohshzpPClmELZ+/equernOQ1PMP6Agg6VS1mAAmT2+0Z3Y1iCk241VKhBEH4XnnKW9Iwx5hmpMU3U53dX4WBJ1PMSdS+iSM2DxDvkswrVG4GqgUIb8pzfg5yxEqiqWNiwSi1KEc7DCkKYaxDiChLFbLDNkAnB5upBRrDgQvMWG6HD33//rUg27tVWA1UZ16yVDeF8BeMTroWUFKM+uqDHYGlZ2+ie/tSPb0hUVAV56ZIH1c/e+OML+WeNI//ZQrDIwcIpedRmL8paRaRyT1yyZIkiEBmD23TtIOvzdsi7f30jD337srzz51fy23+TFTm9efd2FYHDOFzh4H5pl1JXKshh2V1QIElx8VJ4YL98Mm20UwDxxfSfZX2aH/esipUkJ66+HG47xIiqIQeVeTO5qct/NVwQ+R5ENMypU9oZcQFko2b6l3/JPAMynvGfRWmuKe7j3haWcIW++ccXcssnT8qPc/9Qjhbq7z7teslj590qX9/6qrx2xSNy26Ar5KxufaVv+16StK+yNEusJw9eeqs8dsFt8vENz8uIPsPUvuL1nhrzejG3qT/A2YHbgnincLL1E2PF+WX12O4LiG/Iy8tTC+ZWY/DgwYo8tmK8DjVsEtVGRNv5XVUzm3YdWUXZumeHk2DdV1RYThpLlaxgSHGQqGlZ5pOoqG5cm3QFo0S1rfzBoWeLLnJCy+PkuMZtJdKhowkOHjogBxxkqM5JLQ22EtU7UN506tQpaPKT7EuKE4oxs0GQPTY4K7olM8GHQGXybzYozsgKgxSxYr9oMLlG9YHKriTVjhVEavPaBok6/b9/1efF1texY0dn7MLc9YuN3+syRITmcDSwWOvoSF8WFv4VDmtY7ztE2pwe9Ms2qF5HekYbY15hixOUHZ0imhw/vX+1Slcv4qoGHgeLRKLjRFr0C5pA1SAqggIQBZSVBQ5EIeQGCut9+6zp2k0hTuFkhRqVewkLPma/NvcnFMq2pT8ywf5mMdGKcSZUrg1/AbmFlZ8xUG8LzzcNuETiYmJlV3amPPvz2zKkax+55KSz1D3+1k+fLDUyLNgFWe5hLAha1XDQbCKV+BrU42u2bZC85MPyw4q/ZNTEz2TcwqmyNm2TiqFKjk+U45q0kyFd+yrS794h18qTZ4+Q5/qfI6OGXCoP9DhRGjCHSqgmNRKrqb8h2kzFKxw8INe8/6B8M2us7PLHQRhVQaR6U5G2Zxi5qTrzO3OzyKqJRhOqbDdiDgK1pmNRmZ/t9/8eD4FKxihjFuc60T6uyvptGWkyavyncttnT8nU5bPl0OFD0rlxW7nnzBHyyQ0vyG2Dr1D7SgsgSmoihZjizOP6yFtXPyFNazWQrPwceWL0605BTyCLYYwR4WTr10pfqxYu/SWaIVJDoUZNTk5WGfrlYSy0SVQbEYOEGGPgzXNTorat31w9r0w9ciNasd1oktCmXnMp0CRqxDeW2uuTEpXf0w2czLbzJwZj5y9ykKiVbRI1GGBzObnN8c5Ga5EMHeuAElXb+X2NetAk6n4sSjaKgckJBbsZalEIBLMBGYRS1AqFK52YeX2rmlWhNkLNYJXKFTDJp7AgmwzysjSYSaRCoFXIM/4+VwpVN3vX5h8UPatSDVtch8btDRs72DRDQo4lY45Y+FGgthpgystG7S+Q1ocMpemcg1WU+pZJP0U1eXioUtc5FESt6jo+/3aHkqu2Q/FjAoGqAZHO+QapbgUB6Vpoko1mVXwAhDDNPqxQoKBqJ5bAigZT3KcgaINdoOCePG7cOEsabNnwfB/FNmrGWOhLbABqZSvGtEDGbUgRoldc0b/jSdKqThPl+oHkGj1ngjwz7C5pltJQqfzu/ep5ywgmbeO3alw2k0jl+pwx9x9595fPZcKW2TJj11L5Z/0i5QasHF1JOjZsJRf0HCwPn3OTPHnBHXLVqefLgI4nSadGbaRhjbpSrVK0JFSuLAmVKsmFzVtIp5q1JTa2iqpVUVYiKBnRd7h6r7Vpm2Xq8jny7C/vqkZLfpOE5Ka27GcsHkKsQprn7BRZN1Vk9USj2aFGfA2RuKrG4uPerRIouM+edtppSpmLS2PZiuXy2bQf5c7PR6rmZezzbk07yAsX3ydPnH+bnNS6WzHitDQC1RUIdx4//zapVy1F9uRmytgFfwW1iMf4GQ6kpQbREHz+YJsXmmnpDwXJfHY5sfTbJKqNiEFCrEG+5bopUdvUNUjU1Ix0yXKoNZdvW6ueOzRsGfF2ftfGUiXd3CDXYhzFm9m5qLpLsxl2fluJakNDh/Ezqdd2/gp0ufYBelFkv7cupcd4BlywhSPKEUgjK7oMU+BADFmhFGWCjLXXKhUqxSCkmhWvrwGJBREMgelrXECwRCqfjQk0HYcbVTeO+aaMoxsNbM1IU0UgeeNNUxqINOpp/ICstVACtc38z4yvyT81QYHqxLb5UvHwQdl5OEaW5hjzB1THdFjn3EKVOnflQvX9Fqh2yYTFUgnqdzGVQNUgPw0CkmNrRW6pa34c1yfWPquaQKGSs+IzoDRi280uAjn2FPjBZq4SzcCYx/ljw3qQJc0xI7/SamDJZZEAMr8swbmPlR/3grsilhqBhlK495iPvzbuE2VBf3fEM2rxetzCaUoVaTYgl62y8ZtJpNLAaNqSf+We956Wt6d9I2mSLQejRdVVXZu2l6tPu0BGDr9bru17ofRu011qV63p+fPofPCiPKkQFSW3nDRAKSuz83PVMaCeqlwxWnq16KLUmunZu9U2zl67UEb+/LZMXznX//tjfHXD4t9+qEhKG8MhkrdHZOV4kYyNR34vuZHxnJOuogDUuJ+RJtNWzJEvZ/yicl2fGPO6PDF6lDz945vy/l/fyviF045SynIfQ1UcW7+qPPLTKPlyyo9q/3Vv1lFevvRBeeTcm6VVXe8OGl8IVA322ZWnnKe+5hwNVI2qbf2cE1Y1UfQXzNsgUsMhr5UFVI4L836rcdZZZ6kF6UjPCLdJVBsR11gKlaWr0hJ1ZM24ZCd5yuRgQ7qxyta2fgtnV/hItfNXjTO6a/OZNSHsCQzmzuZSJuaiclPVObS2nd+GFZmoTL6wOYFKPna1jdNK1EO2EtUVKAMo+pksBgOKTxSIZheFuqGUFYoUVJQUsxA1VoDthpy0Uk3D9kO09ezZs8TCwkwild/D5gbpQKE7tO8ZKmpjd06mbM8o3j12k2NsbZrS0IjjaDfE+EF+pkiu9ZNvhdTFIjPeML7ueL5PGajPP/+8dO/eXRXY5ASec845yrruEeunqaeFkizbMo98fghtyExUqevTDcWjIpz/+8rIpotJEqnW1HQCVY/vXNNcPxwnq8D+QZFCfpwVIBqB/UhUiNlgwYfFHzKhzQT7nu1GjRoMIB6GDBlSLmyMkQD288CBAy1rLugKFqDCQYWKog2nBMSMJww9foDUTa6l5uEF+wvlwW9flia16suDQ29UP3/0h9eUVd0scD0uWrTIUht/sETq3vwc1Wzrvs+flzfGfip7D+VLndq1pV2jlnJ573Nk5IV3KxKPhlCeFJVHgVgXsN+omxrWayMXnnCmuo+gZIU4/e7fcXLTwEvVz+lMT6wCMTLUeOSIvvz7h7J5VwDd0mlC1aCbMS5j8ydqZ9M/Ijsd9/O4ZDkcHSNbsnbLTzN/Uhb5l3/7UH6eN0nmb1iqSHXESNjnyf3G1fnHkhky8ud35IPJ3zmFSuScPv/Lu/LO1G+lQly01EqqIQPqHS83nHKhNK/t+dzzlUBFUMH7uNb5xzfrqGz97J8Zq+ZJoAhHWz/zVeZ9VsXo+NtcMxSW/mbNmqm5VKRnhNstsm1EXCYqgNSr7lBoggZJKbIme5us2LZOkaXcHFklrJVUPeKVqHxuilUGFgb7kj4Hln7yYHfuNa+I0ArS4O38xgARH6HHwYb5iGa1HGLt0BE7f0U/G0vZmahHF44U6sEqPiAMIA7MBq8bFxenVHVW5KxiMaOAMhsQjRRjWMKsaibFJJqCEyIz0LxVTaSidoNIhTjUim9v70nzKsZMLHocG9CufnNZunWNKqx07rhrQ6WUJGPBTlr2NzLaDh8UWTpG5ASjGLcMWBWnPG+8X7NTRLpf7dOf0QzjlltuUfsDIvLhhx9WBIu2mRbDusnqabbUOIpEBpxfO1D5MBfZvF0O7PpOoilWKVpjk0wnUF2VNKgZyenDqmvF9ambTE2ePFmpoVHXmQnuSxRQKMbNjgrhPEcpjKXfUyO2YMC+pska10kw91YcAg888IC8/PLLpm6fDc9j4fXXX2/5+3APJeID50BZA0UbBKo3pwQ10Wnteqk8zm170mRH1i55cswb8vIlD8i0FbNlxqr5cuNHj8lv939oylw9VDb+kohUmmzq+5rrtcsi4aQlM2Te+iWSmZWl1IlN6jeSQV1PkR4tOku1QJu3ancUDRdB5QQZenx/+XftQlm/c4tSthYU7ZMtu7ZLr5bHKQXqbwumyNPD7pR/1i6Ucf9NVfEKr034VE5t20Nlg0K++k2mkpdKzAwuke3/yf4KlWRBVq7MWPi3bEvfLBIdq+z9bA/EJwujCHH43ChoC/cXSdre3bJi21pFpiJSeum3D6Rb047y64I/VR2OEILPdn6PwZK6bbuad5DH743EdyVQu3bvJou2rlQk8tItqxUxi+Nyb0Guk+AkcxaCFqKf+pO/X7czuDgY5nCoILlWyCQtayBUQAWKQ4NtK0uwEERsEPvZyqaprpb+YcOGSaTCJlFtRAywQ0CQQoqS0elKojZMNEjU5dvXOsmV9g1aqmdNokaqEpVBv2pcFclgcMnPlTrJtbz+bi2HEjUtKzjbmScrP3YfHRcQCGwlqg1f7PxanVoa9PWsG1LZMAD5MXLkyKBegwks2Z8QNmYDBRpWfrNtfUz6IFGDVeB6A69NYWqV2oh9vnjxYqWSDJZc8pVIRbUEgQrhBHHr+jvdmnVUJOqCDctUkaSxJyerWFa3RMeI1GghsnuNyLJfrSVRKUr/GilSmCNSo7lI7zuNDDgfMHHixGL//+yzz9S+hhhDWepE3m6R1EXqy9lSXTWydCfOcLpQ7HEPOrtathRtylINpaJjq4rwsIBA1UAdTk4uZDs2ZXJzzQZEOqQHBMgJJ5xg+utTYKN05fwzezGFe8vs2bNNLwJRMLGQQuZyMNvMMYNADhflYnkFCwDc+3780ZGZbCEYK7muQ6F4LY3MZXzt06dPib93Xo9BMnXFbEWoZuTulZmr58tXs36VN696Qvo9e4Uiy+7/+kV586rHgxqnISVZ0GB7yqrZliciNSs/WyYtmSmz1y5S1/SejD1SvXKijBg6XE5s183Z8DRg6DmpUqRGKUKT+vWG/hcr5W/l6MpKVPL97PFy31nXKxL161lj5Z4hI+Tk1t1U09hf5v8pc9cvUTZ7CMaLThwiTWv6eb9gnzfoJnlFhfLPkiny9z8zJCfeaIQYXaGCdKpTV44//mxpXbep2j5PaFGnsdomasrP/v5R/l45V9n7G9SoK+0atJDbBl2hcmABi2MQgvPnz1ckKdEwrvdg7sl/TJ8sU1bNlh0HMuXhqe845/3egCKWB+polKk5BbmKvCVSIVCSn8VIiF62k0U3K8ZQf8G+g1wmKspq8rIk6LGNsZkxz0oMGjRILrnkkqAXJssSNolqI6JAMx1IUQobVzRIqi2yXdSKmV6x69CwlXpmxQ/ERWhjKZAUn+ggUbN9ai5lZiaqzp8hDzWYG11+oa1EtVEcuokUKlStRI320c4fW8k4j2wlavHsMciJYqRQAEBVoxsImAkm0Wxjy5bGApeZoHhkcgwxZjawJEKCde3a1bLJHqQKE1ez8vtKI1J5P4g4ikrUGO6f6/hmHVTRtGDjsmLfz3SMQdUSXBSXrQYaJGraEqNphRX7iNedOUokY4NBVPZ/zCBwj/q1w2p+sG9/kVSsUEHF4XgqSnSn+6PO8XVT1HsdrN1e9qQZr194oKjYIizKJdClUWupu/UPORgTIzmHYiQ6L0/ik+oVy8kyk0DVoPDD/oetv1u3bmIFsNr9+eefKh/NbFUn5yafgYUJs0lUXo/jzT3MzO3mNVH/oqQPZptRmHPMUEJddtllpm2fjeKYOXOmuq9Z0RgxVK6NQOJmuJ+VFsFDk56TWnVT5CmiDEjTd//8Rjo1ai3vXztSLnz9dhkzZ4LKAb3mtAsC3h7mIiyYlHVOrCZSp03/W/5eO0/W7N1mLNwfPCixRRXkvHZ9ZUjfwX7H53gFLgm96Ifas5IhHGlZp4n0a3+i/Ll0pmpShbNw197dqlZdtnWNfP73T3LnGVerOvfSk4eqTvbf/ztOuT/envSV9GjWSaIPOKICfADKTo7xv2v+k0LyzfcXSnJMnpzS6zzpVXmfJCA4qtNIxAf318FDh5TDkW0hjiApLkFGDrtLKrvFGzD/Yv6JmhESnXlH4cH98ueSmfL1lJ9lVfpGtZ/1fINoiS6N28lxTdupOAMWZ1HCVo2vomrPXTkZkr53j/y3cbn89t8UZfNfu3OTXPnOvfLshfeUmLtaEthOxuO1a9eqqImyBkpU5mfcS1gILCtwXPQ4ZzWJ2rNnTxW9wzFgvhGJsElUGxGXi7onJ9OZ0alRJ6GGugFl5mWr1UXQvoHRPXlfkcPO7yBdIhEEawNW5EoCEQYgLcu8bDpUv6BKEFZ+oInvBEe2rQ0besUfO79ekfZVBUBjG7DfVqIWsyyjUguW/GQCxUTKbMIQQgai02yLMCD7jILNCpITIkxnaVqlIIIQQ0VrpirCG5HK5yEPlP+7d3B2zSADS7euVguROkbmMLZ19+u0+1Ui/7xlKETTlonUNf7WTEStGCuyYboIjef6PSxSxXBkoE6BBFi0aYWs2bFJZbq5ZoezqNqoZj05sWVX6dO+lxpLIfPvvPNOVVh36NDh6IZVvB8xBXwWxxzClUQl4kDto6pxItl7pGKVWpJYMUb25ubJ8rVpcnz1Zs79bDaBqrYtKko6d+6sbP0sHljR/I3zkMWO5cuXq6LY7OuKXDqILva/mU3adBGIOtAKSz8FX7CWS2IzbBLVWrB/2c9WAyKO/PCytuGyeMQY6Ot2kNH5z5r/FJHXs0UXmbNukTz83avyxc0vy2Pn3aIs/o//8Jp0aNBSWdv9BYsYLJj273/ExVCWSM3ZLbP3rpLVm9ZJlYQq0qlZW6l9sIq0adhCjbvmqv8c90o9N6145P526clny79r/5PkhESlAkaBel3fC+WOz5+Rj6b+IEO69pX8ogLJzN2r1KrtGrRUNS1KzHVpmyU7a68sKtwk7Ru2Uvb2pLgqkpyQJNUTqkrt5JpKmLAqdYPKDV25/UgX+nr120q/uANyHGRd42Yi2akiRfkiRbkeFyNdwXhHwynG1VZ1mqixEKJ3ydbVznmCKyDNGTMmTJ0kd77/pCxKXys5ebmKfEWt3bNFZxnc+RTp3ryTs2b1BD4XD8jnk1p3U+fsxW/eKVt2p8qmXdvl6vcekA+ue9bpOvUXXCsolFGB6hijsgLjFvNX3XS1LME4hwvFanI5NjZWOV24V9skqg0bIcxFdSdRGTh0hhsFH5bg1vWaF7fzR7ASFTs/yC4omURNsUKJuu+IEjUYHMmmjdzjYMNcaNWp0VjqgH92fsd5RLaXDXMLR0hUK4pCrdgxm5ChkzgELUpRKwhO7LcQYVYQtNrGD/FjBRnmTqRC5pEFBoFYErHXuGZ9pVgim40iDgLSK2q1MpoqFWaLzP9M5Kz/mfoZ4velS4X/HF2je10vB2q1kSUbl8nM1QtkzrrFTreJK7iPHDx8SJGsFJ88xsydKBefOER+e/97WbZsmSLxioGOyGuNPNSDzfuKzFjmcWGH9wTdc1cZ32jRRypunSfJjdpL4YHDSoUDgQeJajaBqkHRBwHJuYNixApLIsUl54qO4DAT7BOK7e3bt5uel8g9BvLX7CKQRRQsl/n5+SpWIVBwj77ttttM3TYbR4+Fd911l+XvA4GKss6KHG5/wPiHY8JXRSw51wM7nSwTF09XneKbpTSSDelb5N6vn5f3Rjyjcip/nf+XXPfhIzLp4c9KJLs8jWmQMCiByzrigLklCkZs8aB1kxbSMKq6NKpYR+o2qKtibEwf1/V4wXjiBhbxsOZ/OOUH2Zm1R2XSsvhH9icZrU/9+KZSBLuC2AUWL1dsWy97C3NVFMPUlXMkISZOPbDiHz50WIoO7f8/e1cBHdXVdfdM3D2QhBDctbhDcSgUKdRpS0vd5at8df/71d2FClVKi7a4uzuEQDwh7p78a983L4SQhMnMfZlMeHutWTNJJm/ePLn3nn322Qd8poozwMtP/L5zaFsM79wfnULbwBC3C0g5AaQcBzybKSRqSd3NjJbuXYuv1/0uzinJyocmzRXVKUv2rMGaw9tqJFG5ZmAVy9+7V4uxkuRpM09/XDviSkztO6ayAXJ9wdPE49cjopOouqTdwX9/fgs/3PuWRU2PWVHAdRcTyrwObA2SqNwXa+cXa6HaHFFJrPW4NtKUUGwI72otYDvjBR06JJKoxDPT78XdY68XXQ5fueYRMbkQaoBlr56ohI+7t1lK1Mpy/qxUTcr5rUHledDL+XWYoBKmlpTzq/68uhJVLolKQpIPlhfJBBfhWpU9MnvP7WoRsJFA5bGQbW1QvYyfCmKtoBKp9HOkMpLZ/4sRewwsR3VRiNM1h7de/EPCTF60kWshFWUl6JD4F1BWihTf9vg8IQe3fvak6BbMwJjzCksAx3Qbggcm3IT3bnoGC+57F78++AF+e+ADfHTL87hzzLWisy99uZ/4/FX8fXQ9Vq9ZfaEnJe0I8lIAZ0/kNTt3Ptxdzl1XbNxIVZCDwYgBJQmAiwfgpzTRMAa2E8eW9w+bkLFcTQsCVQVL4rl9qpi1AFXjVIjwmtGikzHJU5b0ywbv14KCAhEEygSJahLWVLlaAyYw+L1Zfq1DPmjVQbJ7xIgRmn+WVolBS+ZAjgd1NRGsjtkDJ4m46ExqPK4eNEkQeVQvksh787on0DG0DZKzUjHv86fO65R+MVCBynuvXTulGtBWYOzCMniVQKWa8bEp89AmoIVQEEsr368OU8NUwDRmVhs7x3UfCj93Lzg5Oony9L92rUSvcEVNSYKSlmeMdRkrGQ1G8XPr4JaY2HM4Oge0RqhfM1GVyTGZMSHPUXxmMhIzUkQjqFPJsaJpWP+2PXDrqFnoHGay6wkykbNZ8VV8W2s+r6wM+3LNL/hq7W/iczi/PjfzPtGLZHD73mJ78elJYv+rkqcvLfwQM96+G3/u/Fdso1Oz1pjXexqeufx23DxipsUEKkGLHoLX7OvX/kckeeMzkvHOsm8s3ibFAhyHZc8VliZGSerSR9iW4LzPOdTaea4+JKoW64uGgE6i6rArqE2JqnuiEvRTuWXkVSJTdnnXQTUoIO2XvGNmkcjOz63zfWq2mBNrTeoca5So1pbzF6i2CroSVYcJqpl9mSXl/KbrSPdEleuHSkULM/QyS2wJNhooLi6WXmLL0mwuOlkeLBvs4s7gVKsOrmoZP0uztW5uwM6vXKhS/Ue1A4PIi+HyboMuIFHdnWuZg3uYvPPSTwP1CLjrAufu+NVvoiQrCvvOJuKh07lYcWCjmJPodTqp1wjhi/bFvFdw97jrMaLLANHkQm0uyRLNEL9gjOsxDG9c9zjKIzOFcqznuIHYlnC+16vAkcXKc7tRyCstq7QNqTomrT60RTz383KEL3/d6xog+ajyx5Du4nrhdU4FB8lHc46ztWX9DHaoFtVKHUNlDL3LZIN+lbm5uYLct5cgkOOXtcdC9UWl/YoO+/VD1TIxWB8UFRWJ+7++cyBLpaf3Gydes9HSK9c8KhLbHO9/2rIY39zxuhBPUPH3zK/vmEV0qCpUWoHIXkPUB/QDfXvZ16IJIEk3lsxf2Xs0du/YJe5hEuxcNzDZJZ3AoeUMUbndc9unv+fPW5cKpairIxWkpSjMTcXgskR4OBiFV2rZmS0IRwGCPH2FYjjUvxnaN49Az4jOGNSiO1646gG8du2juGfcjbhuyFRcPXAy5gybhnmXz8ZVAyagX9vuQrH5z/6NeP6PD3A2W/G4h6s34G5KBheYxtzyC+dq2gi89tenWLZvvZhj5gybjrvGXle5Xmcpf8sApTLhROJpFJUUCyuC2e/eJ9SnXMsPaNsTDw+9AXf2nYl5M+eIa4EVGtbMh/HpynhO8pRWBs/NvF/8zO+p2s7VF1wPqY0OGwN4D3MNYWtSUfVF1RoDBgwQ1h+0ybFH6OX8OuwKnlR9UIlaA4laG5qGElWR1F+ssRSzlySL+Z05cUYEWl+Clyu7nN+Oz4MOjZSo5aWVZflml/ObrqOSGhaBlyIYkLPjqLWKSS0ayRBckLFMqD5KGXPJY5JlWviVUiVKdYBWBvsM4HistSjjrwqWZLO0nAo4lonV1myqOoZ16ifux1PJMYhOiUdEUJgIvImM3GpzUc+rgb8eUJpqHP4T6Dnb7P1jEJaYeVYESVR6Rp+NR1xaIgxnj2JuwS6Ul5VhgUN7FBldMbhdT4zsOhC9WnWutaNwTWD59LqfluGlz97EP6e3YcGmxQjzCMKATr3P+aGpJGqXqZVzrbfb+eVsq0wk6minXMDZHegxG/jjTvG708W+OBF1QhxnDw8PcZzZAbh///6aKdW47+yCzPJ1Bj6yO/uSkGRgx2tIiwZTJLoYNMpW7JLY4v0rWw3HY6AmJKw5p7ovqnbgcb1Yh3oZIPlPUkjrBiwXAwlU+oxbUno7tc9oUdJPCzCOuU9ceSde/vMjQYq1Dm6Bj+Y+j5s++Q++27AQbZu1xO2jr6lze7TnoK1A69aWNfyRARKVH/7zPbIKchDo5Yc7Rl+LAE9f4X/JBAY9UHnvcpzm7wg2WJQ2Rlefl8qooPTAwZjjWHVos6i6ivDwxAD3CmzNNyK7tAwb0nMwIcgHfyRlYH10FGYHucHZmAXnzhPh3ryTGNd5XHOizorSfI6d9BStCazUJCn+z4ENiE1NwIt/fIDHp94uEozwDgXy04H8VMA9EDCJF879bx5eXPihsL9htdcDE2/GwPYXlrq3CGgu/MdpqUPCNS5dIdz6tO4mCNeSlDyROOcxpuKXZBnnQyrE+/bta9Gx5ucR9Dgn2HiLFSanU+KEtQCvZUvAaovVq1eLiiDZjQ7rC65jObcwUafFOrw+8ycT/EwIa5ngd7VzX1RdiarDruDhqgQ7LMszF4VNQAFZSaIW5F68qYKpXCI5M6VReaKqZLY9K4J1yIVaul9SRiWqqWGNmcRIJYmqK1GllfJruXhTm1XJBruUk4iRTVLxWJA4oi+kFgQYy8dYRkYCTEuQZKYyaODAgSLQVkv7qV4ikVqXMoRNK/qaAjV2FCZ8K61lqpGobNzoq5S1Y9+COveJAdfSPWvxyu8f4cb3HsLU1+Zh7gf/wX/nv4GPl8zH0h2rceT0EUzKOwhjBRDj0QGt20/F3K6T0ckYgvhDUVixfAVWrVolvgNVDFSYMsisDZ988oko873/mnlYu2AptmzegqkPXI+ff/5ZeQO94s4eU5qAdByP+Iyz4tdUsladwzYf2yVej3EvBfrOAbJiBXGcAw8cjcuo9EDlcWZwQKUlj7+WUBuqkYzUAiREqOqkIlU2aKnAsUG28oZjDRUuDAJlgueWCnWeV2ugkqg67LeplJpwlJ24qC94/1iaiKNq/8Zh08Tr37Ytx6D2vXHD0CvFzy/+8SHC/Jvj2Rn3ip+f+/09/HtgY51VIVT0dezYUXqy1FywUdbHK38UBCo7v5MEpKfovn37xBhD33R1PifpTJKP46ZURaqTKSmnCgJKCkTjLpLVtEVwNAD9845iSqAXfJ2dUQwDjpU44fLxd4u3b0nPRpGzD/xRBM+ji2A8vOicctQMUEwzo/84/Hfa3Qj09kdOQS7eWvKVUnrvaZrPCrJM7z63tskuyBUNxUigMt57cfaDNRKoAhVKwymW/HM+J1n98uyHhH1OdQJVTcaRSCVRyQoNS8BmUqpfu9hzgwHjeg5TjtmJPbAmEcl1HudpWytAOZY0lAr0YseEiWAtKlCa0lyok6g67ApuDNSqlIZfDBwQC0qaEImad3HfFrWkPzkrTaonqupHaykqG3zpSlQdJqhlsmVlpZXl/OYqUdX7mc1j2DzgUgcXIdZ6wJEkYYm57Gw8t0kCS3bZI8d3kjtalFOSlCPReIFvpiQwaCP5xXIyrUCih0pIlnxXVSjXh0hlyTzBMj0iwMu39uaFHZTSUERvu8AHjudq45EduPuzZ3Dz+4/ijT8+xcq9G5CQflbEcYE+/ujToQdmDJmIB6fdik9HDsKo8DB0a98HTp3mYt6MOZg4fiImT56MSZMmiWudPrIkhhmY7d27F8uWLcPGjRsFqUqSumpAxNfqI2HrCYwfNw5jpk1E/7FDz1ehthkBuPkiIcNUOuh7jkRdeXCzWE+0cCxHJ29PoM8c8V3zCwoQWxF0QRMpKjgYODJI19L/koEXvd1o00CCTzaoXmZgRwWmbFDFx32WXdLPIJCqM9kl/SSHOD6SQLMGQ4cOFb6oVMvqkAeSNw3lh2prtRjBe4dzlTVz4IjO/UXToKJSpSz7nnE3YGjHvuLnR75/DVP7jBFEK8fOO796VigqawKvZbXLuC3AdeAXa35BRl6WIPXuHX+jSATS15z3K8fi6uSuJkSqSqKaCMoDZw5jw9GdCoHq4IiuTLmV5qN9cChG9p2IAK8AcawPxp/GyC4DUIEKzC/0AcL7Agajktzb/gUMMduBigubVdUGKjafnHqn8AznMbn99UfR+bKBmDdvHt7+v5dx9OjhyveSYH32t3eF/QGtcl6c9SD2bdwpFLpUC3Ku5fxKrNi3AW8u+RJnkmLFcT26fAf+eeY7TOg1Qoxr1QlUFaoilfNzfe1nKJY4EKM0cuwY0qby91SiqvYN1oD2E5yDuJawNXgva5FYrC84tlk7zzV1X1SdRNVhV1B9EFVC7mKo+j5XEwFrj+CkRjC7ajaJmi1n8Kss57faE1VXouqorZy//o2lqpLxXIBeyiBhRAUI1YYy/FCpGpAJLgi5XdmNHNQFrxYlWCQ4WMashaKG+01yR8vyJaoyt23bJr4DG45Uh7lEKkvkGBjTF4+KE1UFwrJ7NfFRiWH0KDMAxXnAiZXiV9zuoRNHcMf7T+C/P7yJ4/GnhPppSJe+uOuKOXj31mfx6yMf4peHP8BbN/0XD06+BTN6Dkb7xK2inLC8zxyUOqhBqaI+4b4z+CWxx2PIcvlx48aJB78ryQ0uylmiR9ULSfzqSckhHfqI1xuO7lB+eeRv5bnL1MrvR4T6nyNRF25fIZ5neJXC0H8u4OiKvMP/oiA/H+HDrq2xJJ0kOcsX9+/fL5SRWoFKNJKdVE9rASp1SDTI9nhVlTda+JfymGih6JERXPL6pQqd954OeSCBysqE0FDrrazqAlWXjYFEJYHKhIE1yTiOqSzT53qM6kI2N3r56ofRrlkE0nIzcP93L4qGTCRbWQV440ePiiZCNVVu0IvWVk22Fu1aKcZtNhW+c8x1omM7xxWSo5wjams8KZ1IdTTNVwYDEnNzsPLILhGL8viG+QYjNOe0sMZpO/B6zBs3B819A1FcUiI63tPTlFiwdTkKW48AOM/4RYgGUIaodWh5djUKUk4JxS2JUYpc6mr6Fejth9sun43EhESs2rUBV997O55/8SWEh4Xi2aceR1p6OtJzs/DMb+8iJjUBfh4+eOnqhxB/MhrXXnstbr31VpGgnDZtGqZdNQN3f/I0nvntHRSUFMKpwgEhhZ6IXLYbcdGxWL58OZ544okaCVQVTHpSDcz7lGSruSBxzxiS+9chpNW57+elJIdTc6ybW7mm4FqJhLutoTZGtLbawV5I1L59+4r7lFVl9gadRNVhV1CJE3ObJp1HojYFJWq++SQqfYFkQC/n16EVVE/DUgsaS/F/2SG7qmXHpQqWqjF7ba23plZ+qFwgaVHKTzUDPaRkl1OSdCP5okWzKrXxBkmpSi9ODT6DClQG1nXZBZhDpDb3DRIlnsRfu1aJgM/Z0UkEbonVLWNYzu+jkKxlmz4SPp2//PW7CNBic8+iWVAz3Dr+Gvz00Ht49frHcPWgyejesqOY384LvA/8oRCxvi1R0X6s2d+bx5Md35lMmDhxolBn8ppeuXKlOB5VVSZDO/UVz3vPHAEyY4H4vSLoRefJ4vfHExQysn1zJWBjwLr6kOKfNz3IA+h9HeK2/43C7DR4NYuAV/vBte4Xr1Huy44dO0RwpAV4/HiuqfKRXcKuKkaprNWigZVW5YvcLu0sZBO/anMpa8kWNpfavXu3tP3SAXE8eVy1BisreM9R7WxLqI2trCUu6Zd5Zd8x4vWXa36D0WDAezc9g+Y+gYJc+8+P/4f3bn4WHUPbICkrBXM+fvS8Zj5MELGSpaaEXUPgeMJpbDRZrVw/9EpRws/kMsf9Xr16XTTRKpVIdXQRCtJSgyOWnT6J4qJckeinMrS5Yzk6BgTBy8MPaN5d2MXwuLNpskKM5iDMrxnS87KweNdqZDu4IyZ8JE4F9EBcThbys2ORvvFDJGz+GsdP7RXqzJ2nDmDP6UPCt5z+4tVBlXHM3pNiPVMa6oaQ8AjMnDEdHm4u+P7334RNQ3yVknw2aX7vvfcwYcIEPPbYY2LumnnbdQiZ0UtYEhgNRkzoORz+5e5wN7qI+Y0EGOcH/s/FkuVMcJBsZ6Mprj3MAe0QiP5te5x3rbu7qNWphVJsa3g/aTVH17cxoq1L+jnnqw1htYSHh4dQPNvjXKiTqDrsCm71VaKayBVmAJ3q0YTCnknUYNUTNStVcjm/tSRqkd2T2TrkQlWdMsitb2OpqtfSpa5ElRE4MmjQgkRluSGJDC1K7q3xgqsL7NrL48DFnRbKIQbgLB/TClQlM6DlNXGx4NocInVaX4XIXLTzX5HkUDvznjl7YSlyWceJ4rkiejPSMtKw9uw+GNwc0SakJd6e85ToJqzOZzWiKOecKrTvTUo5o4WBCBVp/G5sMsPAjk1EGLgxMOgQ0locm9ScDOTt/U35p4jBgGeQIIjpC0d0CVMaEy3ZsQIl5eXo4lyGziNuR2RMAvIPLoO3jw+cO46mpLLO/SFpTlKPRCpVbFqA1yxtGyz1nKsLPFYkqLXwXeVx4TmR7blK1ROvA9m+brJ8UXUS1X5JVM6VJBlspbrUws7mqgETEewdINSnP27+W8QSH9zynBivD8edxCt/foxv7/w/QbYdij2B2z5/qlIFSQUfSTrZVSzmlvH/vn25eD2sU19BGnKM5bXAfTLXkkcakcprwsUDezJzkJaXg9zsFHRo3lqoKIcE+iuxKNWlpph0Rr/xQvzCY7lg89+YaiKzP1/zi1BgxqYnIcktBLHtpiDZJQQOBgN8s88g4tRiBCduh2NhloivWCmy58xh8Vx130mCndp4ACHNmiMuLQmnsrJgrChDt57d8dPJXYJADfD0w0uzH6r0AN+6dSvGjBkjjuPnq3/GHV88DWdvN5RkF+Dzea+IxKoBBhw/dFTMO9OnTxf+4uaOifTNZQKCFRoXO86M91XP0wHVPFrTchQbGO6/teB6j4SwFrY1lpb02xJUbvOeaAhf1D52OhfqJKoOu/RENVd51lTUj/UhUZv7BEklUWWU83MiVolvez8XOuTB0agsIkmglpu8nswt5yfeuPZx3HnZjMpr/lKFjMCRBAaJNNml8SQN1cWYTHCxzn1mxl4muKAniaqlCpUEKslLLUBFEMsq+/XrZ/ZnXIxIveKyy0XgdzD2BI7EnUSHUKXz8qG4c2Qd/4fk3brSHqiAAY7lxciJWYq0/CxTgPaw0h34Yji6DCgtAvxaAS0HQAaoyKWnG4NCqlXXr1+P44ePopmXknCsOPyX8sYuU8RTZNIZoY73dfcSSlzix1XfiecZQZ6I9OqLqCN70dqYCCeSBm0v3gmcZEuPHj3EcaJaVCtQjUorCi2aQFFlxutLdpkhFUwkpGSX9POYaxGMqr6o1gaXauBoj15wlzqJ2hhK+ams59q6qt+1NaDNyh1jrhWvl+1dJ4jSVkEt8O6cp0UV4LaTe/HNuj8w/67/CeXkuiPbcd+3LyA3L1fcu1Ty2QKbj+8WHt30P53cWxmLOcby2FBFWR/IIlKLHdywPSUFuQU56OruCE8XV0HwOhWbSti9z82FJKsn9x4JB6NRdKB3cnAQBOXB2ONIz80UJettgsPRpVUPGMLHo/noRxDSdgBCvAPQviwT/VK2oHvmQQSU5YrvTEXqicQzlftOwr80p1Bsg7/bmRCD0tJi7HAxIL28UFQZPjvz3soqRoJjpm+gHx798TXhM8v1eVf/1iheF4ueEZ1E8jE0LBQ3zr4Ob7zxBt5++21s2rRJVICYo/zn2EyFMO+ji5Vxrzu8HXlFBUIV3bNlp/P+ppbxB3jJWbcy2cn5U3b1giWJRd7f5ip1tQLn5YYo6e+jk6g6dDReT1R7Vz+qJCpL6y/woauGZrKVqBLK+asqBXUSVYcKQUCQwKtSimNuOT/Bki0PJzebd8dtCoEj1ZFUBshWkqgqVNmKHQZtXODJJiO5YKSfqFbKWVoFcKGuBbjwp38ZfULrW2ZaF5Hq7+mDCT2VRi3zNy5Cj/CO4rXaYISLfXqQMhjqMWwSDL6K8qfFiT/F80OTbhbbuCg4tx1dorzuPkNR9EgEyXwSmZdffrn4frnp2XAtyIRH0r7zSNRdUYfEc7fwjuK63XtwHfalpcMZFRgx4DqciDyNIYG5cDIagKAOQFB7s8m33r17iwC/Pn5w9VVf8tqNjIyUvm2qebltrdSoWihvuL9a+K1SjWptMyw2fCOJoDeXkgPeU7y36Ll4Kfih8n7hfSNz/dO7VReM7T5EvP7wn+/F2qxbeAe8fu1jYm22fP96bDi2E1/f8bpIrNHi5ZHvXhXHgp7MDQ0m4Fcf2ipej+85XMQXXMuo14ElnuYyiNRDqSnIKy0XCcHWnu64rHkLeLA5b2GW8gZXZX5mPBedmiASk55uHkKNuj/6GPq06VZpU9AxtLVQiFLIwlJ6eIcBva5RGhsGthe/885NQKfEzeh2dhtc8lMEuXgm5fxxpUOQkhg+mZKE944cQ1xZCVAOPD3jngsSnEYPZ3x9eKmwSKB9zwtXPYBxoX3ZyVX8PTEjBT7e3ujTrRduvPFGzJo1C0uWLBFrB3M7rXM+4Xx84MCBC3zLVfDYL92nbG/yZaMuWEeeNlXDhJiSndaC1zH3SwvbmvqAyV7O5VrMXY3RF7WPTqLaFq+88ooIADiI12TuT1Bdws6ufA8l2/T60KKTqY7G44laWUJu5x3hq5Y/ZhfUrQIJNmUTcwvzRfauMZTzVyW9XRy1UWDpsD+4OyuekDlVrmnVJ1WHeaAqjAt9a0lUEgJctMkGCTZZSpmavOBkg0QgPbu0aChFhSgJVC22TfA6IAnerp1Sgl5f1EWkzhk+TTz/sX0F2jWPqCRRDx46JMrkqVIcPny4ogzurJCRnUtTMLBtD3RpYaZ1QfweID8dcPEC2mjXXZtle2xm0L5VW/QuOAMDKlAe0gvwDT/Pf21Au57i+bu/3hLPEwI8EVsSisEDB8AjxhQodr6iXp9NBSOvATbW0Kqsn35zXO8yGSAbPM8MMGWrJ3kvqwkMmeDYo6rsGxuJyliESjl7DB4bI5hA4tithf92VagJEFv7ocos5a+Km0bMFAlqqjvnb1gofjekYx88M+Me8Zql/icST+PDW54XpNZfB9Zg+WmFyGxo7D19WDTcZdXAwHY9xZjK64BjYG1cgNZEKt97IDke6QX5iPD0gqeLGyI8TQRzsalCwNlTVPntO3MUcWmJCPT0w4C2PcXx3B9zDLMGThJv+2Xb0trnCSYre84CBt4BhPYCjA7wKc5C56St8Ew5Ipp/ZeZlCyKMaw63Ukehdt2VnID1SWdRVlqKNkX+lb7fKnZE7offxI5Izk0T18EX817BpN4jK6+3jNwsnIyORElJKaaOmVTpgcp5jZ917MRx0ZPDnDidljv8HxKpNR1jNjmj3QDJ8VFdB13w951RB8TzZa27QgZ4/FmFpEWi0B5L+lVfVC3WElVBVbI9NpdqMiQqPT+YCbnrrrtq/DuDARKofN+WLVvw3Xff4dtvv8Wzzz7b4Puqw3KoZKi5StSCJlJCzowvy2fMKelnZ0pPZjy5yKre+MMCkIy1tpxfJbPZbbk+SkMdTRu8VquqnevriapDaSrFoNHabsQkBKwJOmqbd7kAk71dzuNUAskOILmI18pnlceBpdBa2AQQ3Da9vKh0tEaZVBuRym72LO3kvUrylAmQjJws7Dq5X5CnVL+qn1s68A4KXOCMMlztUw+i8ORq5bntyEq/OC1BJc1oR6Uk+6RTR6Ga5tpiX/TRShI148Q6LIpXOlH3bXM5Bg8ZAt/MI0BeKuDqA7QeVu/PpR8cA2OtyvpJ1DIhokUgyIBXi87BtFwgqUj7D5ng9UzSnOo0meCYxnva2rJPe1XgXMql/OpcaUs/VCYG2DiJgiDZcHd2xb3jbhSv/z2wqXI8ZKn8w5NvFa9Z4s1S86cm3SF+/nzDr/hy7a9oaGyP3F9J8jIBr5bxcz6yFpYSqWm5mUjJy0ZmcRGCvf0Q4ukFQ+7541pqbpawx+F8w7iWDbv+M/V2eLi4C/IxrzBPVP/FpiVixymFKKwVHgFA50nA4HuA5t3g4eyClumHBJF6OiVOjIG8L/Zs2SlEMdE52SguL4fvyThc3nfkeZv6ddsy3P/dS3DxcIUhuwTf3fVGZRKUDRrZtHHZhpUoLilBr47dUG4AluxZgycW/A+jXrgOhokt8dL++ejx+GS0vn+keIx9ZQ7eXvo1opJjatx9qlG5nouPjz/v9zyPP2xSrHbG9xgmrsuqYCx8zNQAsq9JuduYbWvqC65vtWiMWN/qHT5kz581zf9cF9nbXCiFRCVDHRsbi+PHj4sLzxZ44YUX8NBDDwnfq5rw77//Ci+yH374QTDe9O146aWX8NFHH2neeUyHPKhkqErKXQyFTUSJSvi4eYrnrPyLD+yqt83ZbOvuRy4aZJTzn/Omtf/zoEMe1MSAujhlWZItA5NLuamUFiQqgzwqIGSX+XFhyQBH9na5UOR6htl3LVSobHBxsc611pTxq80arEVNRCoJ0huGXin+/tWa3xDi7Cd+V+R5YYfqqGIgxajMVy2PLzTzS5QCcUp3ZXM8RmXAuTgXPUoVpYf3oDmi6dOiDctFSSUbrLQKCME3v72CwgoD2ru5YNaMu+FLtfa+n5UNdJoEODrX+3MboqyfqiCS6rIVo1Q6k7jRqvRei+2SULZWNVodHHt4LDjGWQOdRLU/EpXzhOy5sr7gfaKFnY2K7i07CvUh8cGK+ZXijWsHX4F7xysE68crf0RWZiZuGThd/Pz0L29jwRaTHUsDgCrLyORosWbs37anIL3oy21pGb8sIpWepPlFBfDy8IHRPQD+jg5AjmlcMxhEhWB0SqziZ+vpKzxG2ayLilA2xUIF8Nu25ZjYS6nG+HPHPyJxpfIrLH0nb3HBvrh4KpY0bYaL6sWApN0oyYhDRl42Hn74YXz3+084GHUE5WVlCMvJRGFsJm655RbxrzfOuRFXPHQ9/rf4C2ExMLb7UJz6eRvmf/Gt+N7PP/88du3aJZo0How7gezyAnz97y/o8uh40WDs2/V/4GhiFIzuThfEfiSL31j8OYY+fw3eWPxFZRPZyt12cRHWJgcPHjxP8bj2yDbEpCYIUdCM/uMuOM4bju4Ux4Ber0HeAXZhW1MfcF1Fv/CGaOykddVFU50LLU71c+FAQpLd2LjwVG9oDmYMFMaNG4fbb79dNDdoDGCnORKsVcs8xo8fL5Srhw8fFgva6mAAUbUESF3s8ia3VNqs/p/W0uimCieTSq2wuPCCY1nTMc01lQmTRLX3Y+7t5oXEzBSkZWdc9LsEefnjVFIM4tOSUNKq/t9b3X5Ofm6lB6uro7PFxzA3P08sDKhEtffzYCn0e/9COBsdzytVokdqfY6PjGNq7+eDZcHWBo5coNPaRnZ5olaKHa1K+VlOxDWC7HJ7XmP0PRw2rP6qRXPARgg8xixhlAWVSGXlDolUruWuHTJFBFlHE09h0JCZOJWbgK0n9+LOsded978nk84gy6UtrivYDwOJ0YIswO0iVhFJB4GSAsDNV/EZbQCEJe+GIyqQ49MaId2HYUiLDDzw5QtiPTuqywDkb/8GX8RTgWHEnZNuV5quRW8DMs4ATm5AN4VUtgTcFlXJTO5T3SMbVFMfOnRIk5Jfbo92AWyQJnu7jCfUWEIWOAbRVkQmuH8qOWsNocax+9VXX5W6b5cqOBded935Y5EW4DmXOdY2pjmwKm4cOk3pDp+WiA/+mY//TrtbXPc3DZ8hlIjs2r5gz3I8PvV2zHO/WqhTH/7+FdEY6aoBE6E1DscpSv5WgWHw9fAWJB9VhLIJbpVIpW0N0alTpzrHJ3qRsoIvwDsYAf6+MJYlAMV5QFEOCkpLhYLXEFgmmha2bday8v/K0k7jutAg7IosQ1RyNAY2V5piLdz+Dwa4dxCl+MSaNWvEM9cpXLPx+3Is4jP31dhqCIy5Z+GRvwO+iTuR2rw9Lp84Fv12jUVkymkEGErgV1qI9z79Wqx3GOPtyY9CvqsRge6BuGvs9bhlxEyMC+mLp59+Gk899ZQY6x996SksPLMBW2L2i8aLKkozCuCSXY7e4V3w2N0PomvbTvD38BFkMb1Zt0Xux6Kd/2L90R14e+lXOBBzTDQnq1oxw/mKieZTp06J41tUUlxJyM/sP6FGO7lFu/4VzxN6Dods8DqixQAbNdpK2KE2RqR9jhaKc3PB60prJao6F65duxZNnkRlFzZ6kHISmTJlirjBWEpII1xmSrhw27hxoyBSBwwYgA8++ED6YstSA+6qUH+uLfP92muvCYVrTapWaxUwlMXrqD+iMhS5f1pWBpYtW3bRY7o9/qB4zs3KvuD99oayQkUxvW7zBuREKeWFtSEnJRP5BflYt20jHJMt9wJb+u9y8cxOketWrbV4MjmVESf2J8/gYvfnwVro9/75SE5IQkm5kpl2cXCy6Pqw5phq0cW6IUGVAK1qrA0KufiWTR5qodgh6U5iiASfbHCxqkXTJxKoDHa08JwlQUv1jbVl/OYQqST+hob3xOrTO3E85Yx4z5H4SOF/xg7DKpIyU7HSpROuLjwMh4pSYMObwPiX6v6wRFPJYlgfixtKbdiwAf/73/+EmoHn8s8//8S0aYqXa01ol7ZXPGe1GQ26jrt7eiA6P1lcY22Ky/Dd0s+RUe6Mll7euPryqynZBvb+pPwzFT/0brUCLDldtWqVUJrIVj/zWmjZsqVQ08gmW7h23r9/vxAZyFRWq97Jsn2Ued8x0dAYFToM0jme8TsLkl6HxeMgm6l17SrHG7E2cGzQwqKmPmBlAP2DWQatJVycnEX5/uM//R/2nD6MxXvWYGqf0eJvt10+G6kZafhpy2J8sOoHPHXlXYJc/W7DQtz/7UuitH5a37Ga7t/xxNPiuUuLduI+ZCw/erSyf7JhLpHK6yMuPQl5xQVo37wlgr3dGYCKBlPlWYlIyi8AV1n+Tg6ICA4XqlKuD/L2L4Ff7EpcBgMCjcDZ0jJkJW6Hn5snMgpyEdgpDIPa9Rbr4wkTJoi1GpPf/N58sBqYSk4moDiOhAe3R5DTAbjmJCHh7Cl8dnAnAkKC4OppRAdDLoa3ao9eA4YLVehzv70L947B8DAY8MTUOzCj/3jxXWiRyMehmBN45se38PXpFZXfk0rX+8ffhJkDxgsyuMZj5uYhHq2Dw4WCedGulXjou5ex6uBmfLpqAe4ed33le3ksORZyrdGqVSv8umO5IJvpyaoqcqsiMikaB2KOC3u4KaZrUibo7c5kKu91LdZt5oLkKTk1W4LfvyGaH3bt2hWffPIJmjyJysU0F6u1TVb9+/fH3Llz8emnn+Kbb74RhKolJOoTTzyB//u//6vzPUePHhWDmRZ48sknhQReBW8mZidIDluq2OFEz4B/7NixmpVhNGUciYvE/22bD6OjAyZNmnTRY5q+qQQ4sAQtQsIq32+v+C12AyIz4tC2UztMGlL3dznrUYDDa84gsEUzi763ekwv698XWEMVrIdVRM3m47ux4MQqhDWB82Ap9Hu/ZuwuOo2MPCXL6e3mWa/rQ8Yx1aqctiHABTMJNGv9v7Qo5ddKscOSPX5v2fvLgITXguymJNxXElmtW7eGFqByg35SWjVTUYlUql9oo/D4zLuw9q3d2HxiN4Z36ic811Yd2ozrhkyt/B/ez8VGJ6QHdkFQygFgz4/AuBfrJkfPHlOemynqG0uQl5cnygK5/pwxY0bdby7IRPtcJQgvIyEKYNPxXaIbdXhgCHrGLcWLGUpS4f6pdysN76I2AmmnAEcXoFvt5Ky5IAHJJmCshqJKWbbihUpXkrS8tilykAV6pKmdg0nUygK/P8lTijFkkqgcK5gsY1DM8kiZ27XW15aEBwN2boexkw7LQJKcxBJjNC3BOYIJCvrs2grcB1pJNMQ+RASGClXiZ6t/xg8bF4lyc6onea+Oaz0AObk5WHlyG1796xM8NmUeSstKReOpe75+XvjbX3HZ5ZrtW3SqIqppE9xSKPo5x8oc5ywhUjPzc4QdDI+Dl5sXfP2CgPJMoCgbKfGHUGB0go/BCI/SUqG65xga6l6KTnl74MqGli16Y7LTQXx7eB82p2VgcpAvfojPFQQ2SVSC1x/PP/eHD/Wa51qD6yP6Sp+JjUVqYiEcitKxeNMinCooFWrdQX7eiI89gHJHF+QbnfHE96+KahKeqxdnP4Sx3YdUfpdTyTF4bdEnWLJXUQfyu/Zs2UlYEJBMv2Zw/ZoqklSnJ+tjP76Ot5d9hbmjrjrPao9jPsfC1ds34K89q8Tvbhs1G841NCP+eauiUh3Rub+wQpANjiXcFxLztiRROT9wXcNYx1ZxI+c5Xlda70OHDh2EGtmW37VBSNQFCxaYvUC88847YSkeeeQR3HzzzXW+x1zViFomVBUcvNS/1bb/NWXZeXKtPcEytnEpwtNdWTTQjLv68avpmKoKNw9Xd7s/3n6eykCeW1xw0e8S4h9M+ShSctKt+t6FZYr61dPN06rtFPM8GHge3Oz+PFgL/d4/H55uHqK7KuHkaNmxseaY2vO5oBqFRKWl3dirKkZlk3BaKXb4fbmolU04cT3ARbxsz1LuLxeg7EIrG1QCUn01aNAgTUvOSAJT/USyNj81G1dcNgp/715d2XRwxf4N55GoJaWKRcaZLtcgaP0BpQnTmc1A66E1fwAVnqkmMirY8qQ4ve75MAcFB/6EG8oR4+CD4LZK198/dyqK9hv9XbD01GkklXsiwM1TlBOirATY9Y3yz91nKk2lJIBJBnqXatHQjBVTDARZek+/XC38S2WSqFqVDpI45bHgvSizLJLjEK3NONZZowJn8MhkmE6iWg4eP95LsqspaquusKV3O/dBizmwNozrMQz7oo9he+Q+vLnkS7x5/RPCz55JtYevuBWB24OwYMtiYfXywMSbhbqRDYru/PIZfHm7Iyb0kl9unVeYLzxReQxcyx2Fkrtv377QGhcjUlm+zlJ3qnj5e2//cKAoHeVZscjJLUB6sSOM6VlIKjwA776dhc2g+9GFQJYHENYLGHA75nVMwvwXrkVmWQlauirr09X71qFi1jlRV03g56nEKrmRvGYV+HvZR9gUdxQGjyA8MPpGHN+t+HlXuHjjoZ/+JxTGJDLfuP5xDGrfuzK+fn/FfHz4z3xBCLMS8Yreo3DXuOvxw6ZFKCsvF428LMH1Q6binWVfIyHjLNYd3n7BtdG+Qwe88dETKHUBRnQZgH5tL1RbR6cmYMkehdituu6QDc5xTM7InjvrA65HmRjg3MW53NbNpdhYUiuEh4eL5ADXQzIawzUErK79qmp4Szk5u90/9thjQqlqLXjBcICq62FuVplBBqXuHPRVUMFERSkl5Drsq7EUB3lzoL6vaTWWyjG7sVRyVqpVn5lbYH1TqfMbS53fXVGHDg9TcynCUeMAqCkGjrTSIbllDUjyceFtD4odNYBsCMsfGUhISBDniItD2WAzT66TtGiEVXX/+TlUo1ItSeJ2ZKgSbO2NPiICqqPxp0QzDRVqu4uM4J6Ap4m0WvNa7R9SkK74oTLT5qOtkkxFyf7fxfN+z45iXopPT8aOU/vhVlKAgWc34eNc5bqd2W08jh89horDfwM5yYC7v0KiSgKvCwYMrKqS3QRKDUx4Du2lc7AWTaC0ao6hjm3WWsKoJKoOyyGjIqM+STxbQqvKkbrIuXvGXS+a7TGmeH/Fd5WxP+eehybdIkr5ifeWfyvUijP6jRNk4m2fPym6t8tGao7icezj5oVTJyNFtatMlbmlzabScjNRXFIsYiYSzY5ezUTCLSs/H4nRkUhJSkazgCD0ahuCzp07K9aA9AMn2owU1RotAkLQNrglYHDAnlI3uBmNSMjJxLG99Wvalevujz8z8uDu4ogRHfshPz4dmWdjUVpejh9PHBcEqoeLOz6a+3wlgbr28DaMfPF64V1KArVn8w745/Gv8cUdrwqCmPN9RGAYwgMsS/hxTXh5VyVpuT/m6AV/X3FkE3LKC2AorcCto2bVuI3PVy8QPq5DO/YVTbm0Auc4rjdpuWBLcLxpCE9SW/uiOjg4CEGIPc2FFpOoJCTpW8GsLsnMffv2icYD77zzDj7//HNcfvnlWLRoERoKzLRzH/jMRR1f88HgkGAJPsnSG2+8UXg5/fPPP8Iw+Z577tGkW64ObaCSocx0slzCXPKuSZCo7l5mk6jBlSRqmlWBWU6hSqJa5wFcVFrcZM6DDg1JVFPjOB0NFzhyviQJYC0R21CKHS0CSDbVYgmcFo06tGoAwoU9gzgGYlqB55DNWtjtmMdcLe0P8wzC4IieYm4xms7vnzuVJg+EuylZVsAkZs9rlF+e2QIU1rIIz05Unr2CAZbNa42SAnjEbRMv0yIUv7WFO/9BSXEJHnc7iwV5jsgsN6B9s5Z4dPadSIuNRMHWr5X/7XMj4CQ3Gci1NO/D+PhzRLQsMDFAtaRs72e1czDV8FqVDjb2QJRjG4lUNc6wFDqJaj8kKpODshswNnYSlWBjn/9MmQcnB0fsjDqIH9YvEmML7wGFZL0Bd4xWxvpPVy9At/COmG4iUu/48hks3PGP1P0hWUm4GpzE2KaFl7klRGpOAZvxlovEHOOdCqMDErOKsD/mLFxRgsE9eooSbYfCDKW6oSgXKDRZSvmEsYRHvJzSR7FB2JGahqEtFLX/mo0/wKNQqaC9GBgfv7V2EQrLytHWwxU3jp6JwZd1Rl5RHran5+B46lmxj+/e9DR6tOyE3MI83P/ti7j2gwdFYyx/dx88OPg6/PXE5+jRurMgVDcc3Sm2PayTdYpf+pzWFMvuiz6KP3asgLubO4aG9ICTcI89H0fiTuLfA5vE6zvHaNtEjtwQ7zO1atlW0CIBWF9wzGsI67MOdjYXWkyi/uc//xEydCpOR44ciSuuuEJ4JnKRQln9HXfcgddffx0NBSpg2VjhueeeEwsavuaD3fpUhnvJkiXimarUG264AXPmzMGLL77YYPuow3q4Op8j4cxRoxYUK+9xq/J/lwSJapqkSCKrJZeWQP3fmjoj1gdNiczWIRfM1qugSbyOhg0c6bfEeZHlOo1dscNARYtmVSRQWTIlW42rkldadFZlyRNVqFoF9FScbt++XSh8qpaZq0TqzK6jRZkfm2gwwKJnmzon06Kjcq4a9gDg4ARUlAEb36v5w1juL/6xgTrQxmyHQ3kJ0gzuCG43VHQR/nnjYgyuSEYHh1x8kaUomp6cdje8vbwwyOEQ8rPSUOARBrQbI313qM4hCUA/MNng+aJarLYGqtZ2Dpa93aqlg/YQiDL5xDHUGnAMt9Zb9VJHQ5GoPNeyE471AZMttmp206ZZS9xuIkr/3rcG6eW5540Ht11+Ne4df6P4+Zv1v6N98whcPWiyUA3e883z+GnzYmn7klekxCaFufnC+1mLSg9LiFTOJWUVZQqBWlYu5tCD0cnwCGuL5j5u8HcoAxxdgYpyIPes8OZGcR4QtR54uQXwaivg74dwc/9RojKL22vWUilpX5WSiTbJ/wB5KRfdtz92/IPIlAR4ODrgtlYhMBqAsoxT2JpXirSyCvHxdw6Yha6h7bD3zBGMfeUmYcFgNBhxZbdReGP8A3jo6jsq14VbTuwRopoAT19c1tq65m20PyFINqtIz83Ce8u+FcdwQu/hGNF1wAXzIYnhl/78SLye2HMEOoZq4zNfFVrMcfZIonLMszZZ2BTnQotJVDaXeuWVV8QA8uabb4pyobvvvlssBvm47777xKDSUPj2W+Xmq/4gwauCAy072zGoYdDE/bbFwKvDcrg6Ol9AkJpVzt8Eysi9TOX82QUXH8iYYfQ1ka7WlPTnmhYq9JS1Bno5v47aoJfz2zZw5MKICyR7UIySlCRkB7FsZKOF1xMVDCQ6Za8zGEjTq0sr9Q3XTlSgUjFT0/VFYm72xOkY2qpX5fhOwlRViDQ3VUIkce7xDALCTV6PO76qVNqchyJTYtDFCkKYdgCJB4FDfwJbP8UD/ZzQIm0zkHxE8VytgtJIxU/toFMzdG3ZEV8s+xGO+Wl41C0J/5fljYIKAwa27610BY7fA/fEnUJxuMN5AIokKyRV0FuU1zevRXsJBHnPaLG/WpQOVm0uJRMylaha2DlcKmgIEpXqaCaXbEmicoxg0tNWja1GdxuM4R36ijlo/va/L4gvWNb/yORbxesFW5bA190bNw6dJq7th79/Bd+u/0PKfjD+YwVJUX6hZk0bLSFSKTwhSVhaXIJDBw6KubLH0FFwCQyFg7M7nEoLAAdTHJsZq8xbp9YBWXEKsVqYKeZJn68mYHQzZR6NT1dsCPdk5SO3JB/GrZ8oxGstiEqOwe/blwtjnZtah8Pf2UlMga//8xNOFxTBaHTEK9c8gnDPIDz62YuY8sY80SAy1K8ZXp18P67uMhZjR46urNItKinG6kNbxOuxPYZaLXbgZxGtgsIqyVHaB7A3An93y4irxNqGx5TnWMUPm/5CZFK0iG0fmnwLGgKcO8kXVd2PhgYTJmpzKVuB4421yUJzcMkoUblwUkvUOKHwAHPBrYKv1YBHhw5ZIEGvqhnNU6Kq5J39KyC9Teoell2Yg+CqgayFyC8quIDosgSFTUgRrEMu3J2rlvPrSS1bKFFlB2RaNZUisULlpTVNXBqyPFJLn1WWUmvVaIC2SDx/vXr1qpVcZ3D4+k1PCAsOJvY4H/+46S9x7kP9FEVpbJqpTH/s84rfaUEGcEDxIq2ZRLVACcxAdPf3wNIngC0fA8f/BRL2o2czBwRlHwE2fQBs/uC8oDM7Zq94PusZjtyUTPy2YxkecY3DSXhgSZ6jUOO8evXDMJQWAps/FO91vWw2XMO6CSsrLcDjSSKVCmPZ4FqdZfeygzDeM1zn24MvatXmUo1NocOGSByHba14slfw2MXFxWlOovI88zpqKO/NuuYqWza2Gt9+MCICQ4XI4pU/PxZqyapg1/bnZt4nyLZl+9YJ+7W5I68Sf3tiwf/wwT/zrd4HEm88H/5+/qKKxJaoSqSejjkjkjWJ8QmC3O3Tpw+KK8pR7BYAB99wZQ5UXcPTo4CTKxXilOrUuzcANy8CAtsB2fF4p2QLQg3FOBIfiS5h7cD046Z8Iwx5Z5W5rgYilcf6g3++FyrPQW26or+/DyqMjvh1819YGX2aszAGtumKkd0G4rN9f+KXQyuF5cK4bkPx9hWPoKV7sPguVW0O1xzeKuZ4qlD7telu1bEimb4/WhHYtWveSvz82eqfxXdkbP/oFfNEUy42+eR4rVrckBj+Ys0v4vWDk26Bn4dPg51bHgsSqbaCVtUZ9Z3nmEDSmsjtcKmQqET1QdyWg7qOSwf1IVHV97g1gTJytbmT6lN6MTTzUZqNnJWgRPWUpUSV7CWnw/5RlaDXy/nNB8kqlr2w3FqGElUmSKxo0VRKC7KTi3gttkvFW9Vks0wwWGNljRZrroKCAhw6dEgQqCT26kLbkIhKHzx2Sj6VHINNx3ehDZtikOzNSFYC7IgBQEBb5Z9Wv3LhhlR1an3u/9wUYPuXwOpXFb/VsmIUO/sgxiEckV598e2BEhwtCkRqZjZyo3YpKliT0q8gPVo8O3u2wI/rF2GsIQ49jTl4IVMhcW8ZORNdWrRX/ofNpDyCYOhzI3r27CmaKWnRqIngOeW2tVBL8h6v2lhVBkhe8Bqxl9J7LXxRZZCoPI4k0O0peGxMiIyMFGSHFrYpWs+V9YUWdjb13oeMTDw47ib4e/oKO5e3lnwpSvar4orLLseb1z8BF0dnbD6xW/RnUD0sSby++McHVimvRel8Xp6mTRXrA15/tLlJOJuIs8ln0TqiFYKCgyrj0GL3QBh8WwAlhco8xARdZhxwar2ygaAOQEhPoN3lwLyVQLOu8CjJweeep5GXl4nOYe3E21aX+aPC0Q1IiwLW/Q/IUOYyFb9tW47o1HjRcOv2gWNRgQqsTM3Bb9uXo7SiHF19vNCuRSdMefN2rDq0RcTT/xl7K2aGD0NJftEFBGpGXpYgUYmpfcfA0UrP8mMJUWL/eF0Mbt8bf+1aJVSuXMtQwawmYPkz50OudRg/PvXLW8I2iBUik3qdqzDWGtwPjitVm6hfiiX9avJI65L+Dh06iIRYQ6hebU6i3nzzzZgxY4Z4sMnBnXfeWfnz3Llz5e2lDh01kKgqMVcXik1ZE5cmQKKqvqQ5BeaSqEFWl/OfU6JaS6LqSlQdNaOqVYRezm8+qCxjZpjBd2MLDFU/VHuwCKBqhEo62X6oLOWnala2SoYENX3n2XVdC7DxJj1QzVXQPjhpLoK8/IWaJSM3C1+t/U34d7OTMwPd4wkmX7ORjynPGacV0vM8mILpKtcL/5cldCR1Cb4WQTcJ1xP/AqteAuJ2K//Tog8w4hFs8RyPiOn/Rfvxt2FDTBkmPjkffR5egJ179gHJR4Hkw2LdEGPiKDtlnURq8jbMNUTj2+IgnCo2iv1+7Ip5yraPsSQSwPAHAWd3oQbp0aOHOEayiU6C1wvvGwYR9lDSz/tbC2JSq+ZSWgSiHDsZ/1hb7slxPDY2Vtp+XUrgcdMqqaR11UZj8Bq3ZB8iQsLx1JV3CjKMDYG+qaFMf2invvhw7vNCAHIg5hiOJZyqLPX/eOWPePj7V81qEFwTsrOyxfl297AuNpGJjOxMoQBlArm8uAylJoU+SdQKB2c4UYnqGSgSfoJELS9V7GYI90CgxNS/wiMAmPAK4OyB7g4FuM81WZCZxMnsVJQPewhw81USfGv/Dzj4B1BaJCo/FpkaPN4+5hr4GEqwKy0Dn5yIgqG8BL293eHg4oXvN/2FE4mn0dwnCAsf+gjDI3oL4pTjbfVO9It2rhTkZbtmEejZspPVx0htQDmscz8ciD2O7zcpDcipVO7Tptt57+UahxUxry78RCRoSdo/f9X9DS7YszWBqe6DLZWoDeWLGhQUJK5FLZpsNioS9aabbhLsPAdzPtioKTQ0tPJn/o2Nm3To0Kq5lFoibk5XeHaUtHd4uVmmRE3KTLHavN3qcv5Kb1qdRNVxPtRO3oSuRDUfiYmJYq5lyVNjCwxJTMomZrVqKsXFMckr+szJBAkrLVSoXFyS4KyqFpEFlqxRPdut2/nBzMXmpaem3y1e5xcXYFfkAaw/sgPdW3YUv2OALdBzNuBh8p1d8fT5GzEYhbI6KzMTR44cwZYtW7BixQosXboUa9cq/qX//vsvVi2cjzPf3YP0DV8hNzsDhT6tgdH/BQbcJkogR44adYEvfnRWOUbd/F/lc+L3iQYZ/1Yo56VT1k58XLweXihBeFkWbnTNwGdjJ8O3OAPY+K7yP12mAKGK9ysRFhYm7jutmh+QDNKKRCWxrzb1aMwBJslqXt+yuwFzTOLYJBNU59Dz2FrlDBMXHNN11B88blWb3zVVJapWNjn1AZNaTN5yDGSjqQcm3ix+v2zvOqzYt+GC9/eK6IzP572CQC8/QYStO7IdT1x5p7BMWbBlMW7/4r9mVRVWR35OLjzcPVBgwf9qASoVt2zfKq7DNq1ai3k0OiZaSQaayFSjbxjg0wIoygUMDgDVu/kmkYuzu0KKEiRF/3oAoOIUwH0uyfA6q9jInM3PQJrBDRj9FBDeV1G1nliFin9fwBfLvhTJTJbcD2zXC6diDuPFw5Hgp4/w90JhWTm2JsaLuK5XRBcse/xLlKcXimtq1KhRaNeuHbZu3VpJlB2MOS7mb56r6f3HWU1esipl/oY/xeuB7XvhnaVfi+MzqdcITO496oL3s8ohMj8Bi/esFp/90qwHhaWArQhMW3pWa2Fx0xh9UQ0Gg13NhRaTqN98841ZDx06ZENVM5oz8ZaUKUoGZ8e6yxLtAd6mxlJUopozmKtlEQkZlpOouYUmJaqV5fz5emMpHbWgqspZV6I2bOBIBSYDImuJ2OqgmkE2yacu7LVQzWphEcCgSgvPUpKzWhAG3GcSmLSHqK/n3zWDJosyO85KOUX5eP33j9E9XPEn3HXqgDJfMUHS/zblH+J2AamR4vf8Piej40XQmZYYI65Hfr+BAwdiwoQJGDdunGi4MaFVBUaUbUGQQx4qHF0R5TsEK/M7Yd3ek8JHtE4lIEsl+R0zY/Hz+r+xtsgXG9pcjSIY4WiogJ+hFHPdMvA/z0QMWv8E8FZ3IHKNUPfgshsuWOR36dJFfKaqkpUJEuS8JqsrgqwF+xTweMvuVaCVSkeL7XJMkn1chRrO3d3qa8GeAsfGhkuFRCXZpYVNTn1AMonHQG2WSDLs+iFTxesv1/56LmlWBe2aR+DrO15Hm+BwnM1OE2rE/0ydJ+KyZfvW4+r37q9UWppLJufn5MHN3Q15hXKTIpaAVQm7du1CWKtwUdHi7+0n5tGk5CTRbEpNXBnd/AD/VgphyuZS+emASejDRKJoLlWQqahLiVaDUOroCqMBeL1sN9oEKMm/PWeOKP7h/W8FhtwDuPtjfVw0Dh3bBBejEbeOmi3ENg8v/xX5ZWXo4u0JF0MFNmXkivL+K/uOwR8PfYSEqFhxTakl/NxniuF2794tGmTRGoC4vOsgtPC3PiH8/cY/kZmfLWLTTUd3CcJ3UPveuMXkl1sde04fxo97l4l16m2jZqN/u56wBXhOeQ4bojt9Q1dnNDYlqr3NhXK7M+jQ0cg8UUtMgVVTIFHVcv7yivJKUrIuhPiqJKopu2kB8iuVqO5ylKhNwFZBh1y4u5wj1tmkRkfDBY4krAjZhCeJCqrJtFCM2kNTKX5/Va0jEyRqGPRo1ayK+21Jp2MSSW9c9x9R8VFcVoJT6XHYtmcnnB2cRGPDyGSTb9vQ+2lEKl4WLnwQa9aswb59++DqHShIvjZhwejdu7fYB/7M69IxLwkdE/6E08nlcHYwwqPdAARc/S56TL0TEyZOFO+lbxqVqsePH69ZaWn6zG1nTuFkwmkE+AcgMT8bqRVOeLegOe7LCcXXpWEoajNKBKSVza5idwCfXS4I36rg9UJlJwNk2eB9w+1TNapF6b1sYpLb1KK5lFYKV96XshVF3K615Kw9BY6XKonK8deWTYxIYGphk2PtfDmj/3iM7DJAxCZvLvlS+KRWR4hfML64/VX0ad1N2IT9vGUp7hs/R4hDtkfux5Q3bkd0qnle00xQ+rh6imRfak46bA16iHNt4h2gNNf2cfcUY0KnTp3E3BR1RmkWKNYuLOn3i1D+sTgHUKskqUplk8TorUBxARDQBpjxCUpHPSX+7Gcsw5QSxRpn9+lD5z68eTfkD3sE85NyxTZmhQUL1e9zv76N+OxMBDk7IcLZgG9ilPlkeKd++Ojm53H00OHzCFSC11XXrl1FQvKTxfORVZCDIG9/jO85zOpjlJqTgbeXfi1ee7t5iXXCZa274qFJt9RYgUZrgv/89H+iH2WXgNa4fuAU2Ao8bzy/tiynV5tLya7OqA9kJAub2lxoUTTy8MMPm/3QoUM2VCLOHCJRLedvCiQqy57VySbXjJL+UH8l0E7JSRcdGy1BHidzCeX8lY2ldCWqjmpwdz53bVlrWn8pgaQXVQMyFKOygzISFbJJVJYRaWURIJvsZKBJ9YKq1pEFqjbZtVZ2d2geBxKCHTt2tHifO4S0xn0TbhKv84rz8fvBVQh09BLbXnNIaUwBF0+U9bxWeRmzER2C3TB27FiEt++q2CmIzsWVOwWcWgeH9f+De3EaKpzcgX43A4PuBqjoMZX7sfx9xIgR6Nevn7gn1q9ff2GwU1qArOws/HgmAd4+PhjhbcTgxHXYWuKO1/P88VuRL8Kv/xIuY54CmnUDwvsDfeYo9gNnjwFfTQLyzvcWZ4CsVQMELfxLtSImGVjxmtGi9F72seWYxOtRtp+tDIUrx3KtGpY1dciYCy8GJmd43cie1+oDEhi29mStyVKH64e7xl6PjiFtBEH66p8fi27u1UHC9P2bn8WEnsNFI6pfty3DtYOnINSvmUi0XfHGbTUqWauDCab2LduI15n5OcKz01bgOE3Ch40Y1bjMx1Q16OziIkhK/j0mJoZ8IOAeIKxn4OACOLoqz0RJAZByHEg12cQEdwb+vAeukSuxo0zxa7/OQRkf9kQdOG8fFu3fhExnX4S6OmGqaw6+Wf87Nh3bCc7kLV0cKgnUDs1b4dkZ94rEZXUCVYWYh/1dsPX4HpSVluLGodOkxM+v//WpuCYoBvLz8Ea3Fh2E93hNa34Srg989xKy8nNEg8fbB8+S3hTRHn1ROdfKtqOxdSWHvc+FFpGoe/fuPe/x1Vdf4bPPPsO6devE4/PPPxe/442qQ4ctPVFV8tDJwf5JVC5UaNBO1LRAqQ5/Dx9BOIuSSQt9UdVSGU9XOUpUnUTVUVOWV70uHCSrDJsyZKhvtFCMarVdLYhZLkipuqDKoLGrW7X0WaUXKsvErG1W9eDEm9G1RXuUV1TgbF66mKeoUlx7eJsIMLn/a4xDUObgCgMqEL73LSVo8zR11c5NPkeg7lsA7PsFqChDpnsrlI9+Gmg5AFkFudh56gBWHdyC4wmnxfzGuZHWCSRTeXw2btx4XhllwvE92JmcjjiDE4KMxZgQ8xeSyhzwVJ5CvNwy4iqMDQ0xlVFWAF2vBKZ/CNy7RbECyEkCVr50AcnHz2JZv2xwuzwnstWdWihReey1VI3KBK81Eu+yA0Fdidr0lahaVW3Y2iZHVmMrViE8ceUdojEfqw9eXfQJikouTFaQkHvhqgfEmEss27cOA9v1ROewtkjJTsf0t+7CyoOba/181QKmVYuIynVjWk6V5FsDgqQ6eQ56iFOhnJqbcZ71GkvnmUzt2q2rYltz4qSigvdrBfiFi8ZRoqyfKMwCclOAbBN5REKV5f6uPjjkGo6yCiDCoVg0moqMPaKQrnxbdjr+3r0acHLHjS2CsTM5CZ+t/AkVpcVo5eGKJSlKcqtbYDD6te2JnMT0WglUIiHjLP45slnsd2vXZggPsP6+Wn1oC37Y9Jd43SowDD1adsST0+6Ei9OFyeDMvGzc+83zQoka4huEt258ChEtwjVJKtpbYyct5sT6fj7HIK29YUPsaC60KGKl0b/6mDJlili4MiO/Z88e8WCnRJoUT548Wf4e67jkoTaiMaecX81QNgUlalUyk76o5gQ353xRky02ApfSWMpEeLvWMGnq0KHe07oS1f5JVBJXWhCeWuwrF8VaNJXSQt1KkjM1NVUTEjUqKkooOq09DpxnP7zlOWHLwfl5V+IxuDu6IDUjDT+sWii81jr16gdjP0WxyoYYSIsCPE32BGy4wUfkaiBqIycxlHebidPBY1Hs4IaFO/7BC3+8LwIyNpv4eOUP+HLNr5UdnpmQ6dy5M4YOHSoacNGn7sSJE8g4uRP/FBvg7uSEe/K2wVhWjAdyw5BdViECumcnXgesfEHxQA3tCQy6S9kfr+bAFW8qrw8tVEouq6Bt27aiXNPazuzVwQCWAS6JVNmBIANo2c2ltCBntQrYtFDTyAhu7SlwvBRJVJXAlG0nU999sKUSlp/PR21zm4+7F/47/W4Rp7D7+9tLvxKK0+rgMbx73PV4cdaDYs7YGXUQgZ5+wlebVWs3ffwYvt+odG2vDibluA9MmrFsnUjOToOtyvg5prZs2VL8rIpVgryVpr4GpgorKgTB2r17d8TFxorkXgUtY5p1Bly8ATefcyQqkUd7ggogM0b5efyLCJ/wX/xToiR6H3RPRUpxKXK/my3sZn7eskTEuV3DO6C1nz+ePR6HiooyhLk6YV2KQuqODfJFWPN2aObog4K8gloJVIpmvljzi6jg7NexJ3o272B1A0WqSu/5+nnxmqToqK4D8dS0u2sU1PDzqUBlAzKe24/mviCeuebh2kf2PGvJHGfL5lIyknXWfj7XDlr7sobY0Vxo9Wzw1ltv4bXXXhP+VSr4+uWXXxZ/06HDlp6oTY1EZSdkc8v5CZbJqNlFa0hU1Y/VUujl/Drqgtq4zIEdS3XYNYlqTz6rDMhIWMkEF9laKFHZeInfX7alAUtEWSrXqlUrKdvrHNZOBNJEel4mskrzxaJ7ye416NO3r1C7GsY8o6hwGCz+/aDSaIOl80TSIeDIEuV1z9moaDsKuSUF+OCf+Vh/dAfKystFkwv6qVH9dCjuBNYe2X7ePvDYDxs2DBkZGTh5eB/SyjJxuqAYt5QcQXBROp7La4aoUgcEePnh69tegtv6N5RyfZ8w4PInz/nUEa2GnAtyq9oNmNa6DJBll54xARocHCydROW1w23Lbi7FRITs0nuOH1oEbFoEorKUqGzaYcvmJfYIXiNaNdtrTARmY9gHzmscQ6jmrg1ULj555Z2V5Ojnq3+ulXia2GsEPr31Jfh7+uJMajxyC3IxtvtQ4a362I+vCzVr9YQP50GOu7QQCTM1O4ox00tVJrgfXIP17NlTjKkkAClu4etAL/9zzTtNJDLniaFDhoqkmyBSA9opTaa8w5Q3cv6pKAfy05RnJvSMjkBAW/TuMhQflCjvm+ySg04OhYhOjkbpgpvQbuf7cK0owQ1Dr8SLR6KQWVIGVwOwPUWxn7m1RSA8vYORn1+I9j4taiVQuZ9fr/sd6bmZgri8ZdQs9Lmsj0hCWuqDyfibymI2k2LsN3vQZDw+9fYaFags3b/76+dwJD4Svu5e+OiW5ytVsLzmuM+cz20FznG8FrXuTt8YyulrA+85Jtq13oeQS4lEZVa7poUefyd7oaZDR1USVSXm6kKJiUR1aiokaj3K+VUzdyI+3VIlqtpYSvdE1aG9EpWkiI6GbSylhWKUnp2yFTv2YhGgVVMpBrBVk9WywCoiqnpkNky5c8x1oqMvQa+77KJc5JUW4ud1fykl6q7eQF+TGvXUOiDpiFLiSBz/Rwkg/VsDbUYIRdPikxsRn5EsFE53jrkWj02Zh5uGz8CsgRNF6f+mY7suCNTpQUflin/hKXxxJh5XGxPQpSwV3xX6YnWRu1DLfnHrS2hxYL7iQ8dux+NeUJ6roqwKiVfNO5gBMxW8rL6yh/JBrUrvtQjuSNRoEbA1VhJVbaRmL8FjYwGbDPE+bygl6qVMojLeN2deYyLtwYm3iPGGpfm/bVe6vNeE7i07Yv7d/0PH0DbCquVk4mlccdko8bf3V3yH+7594TzP06oJyjbBLcTzmZQ4NDQiIyNF4lGdN0kCE2zEpHrMs7JKtZRjPwseO5KYgkg9k4iK5j2AZl3OJelykoHiPKXigXMgE42ClPVDilsIlhcrx/4B91ScdgpEblEhLiuJx5MOkdgduR/b0zJQXF6Ok+kKJ3NfqDvC3F2QWOyIUPdATBo9vtZr+I8d/4i5mgTnvMuvFjEfxyQm8yyxrGHsPfOdu3Ey6QyMBiNuH30NHp9ye43VZmm5mbjzy2cqCdQPbnkebZop6l4VPHa2LKfnepYJd1s2drK1EpXXdUNYCoSGhtrNPGh1lDN9+nTccsstWLhwoViM8/HHH3/g1ltvxYwZM+TspQ4dFnqisgMg4dJUSFST106Oyav0YgizopyfvnZq8y5rSFSWWpaasrEqAa5DR1WoSmfZZdVNGVRCBAQoZWNNnZgkQcbt2oO6VaumUlpYBBBaqLi42P7k1hdFiWZZRTlSC7JgdHHEqhPbsHHLJoVIHfOs8HsT+PNupdkGEbtTPOWH9cWfu1biszU/o6isBOH+IXj0ittEgC5UOyf+xWXJm2FMPoTMqC3I3vkDUJhdGeBSQTNk8CAcTDuKgWVJGFyRgo3FbvgwX1EJPT/zfgxOXKN0Q6biZ8zTgHcNxyF+r/LMEky3cwojFTx2JHJkKyZVslN2+aA9ld5rRXjKDgLVbVrz/XnPsGkcx3Ud9Vfos+lKUyYw1TnQ1uX85ibbBrbvhXmjrhavWXJel89pM59AfD7vFZF443yxP/oYJvUaIRJdJPeu/eBBoVSsTqK2DgqvVKKqli4NAarF2dyqTRuluRURmRQtnts2i6gUn1AcUGrytXY0rW25NlCJ1ONppagI662U9bMqg97bJE7LihXP07Jz41S75hF4v0ipLLzSOVsQzqsNzVEKB7QviMfqfz9EYWk5UkuU43BbgBGTmwVgS7YBZeXArVdcV+v6ac3hrdh8fLcYg5icbO4bdO5z27UTJGp95jf6ms54+27sPHVQ/HzPuOuFOrmmxHpcehLmff6UIHBJFn9628voFHruuDamxk689huiO31jJVEbSg3r7+8vzrVs26FGSaJ++umnmDhxIq677jqRkeeDrydMmICPP/5Yzl7q0FEFqpqxPuX8TaGxVFUlaq4ZnqhVlaiWlPOTgFaDAg8ryvkLqpDduhJVR00Y0K4n2jWLQPfwDrbeFbsA70su5K0tRWdQJrvTu1bELL+zPfisyjgvNUELiwAeV5bISfVZZXOMxAPwyonDEwNmChUK1ThRZ2NhcHEQROrOnTtRxq7Ewx9W/id+D1CUJ1SlZRlncDolDq9uWYd1R7aL897BvyXuHX8j/EpylGZT2z4HYnfBqTALPiwtrShHRuIxYP+viDx5QhCogwcPxtnI1UiPP4xpTqnYU+KKR3JCGKrimkGTcatDHBC1HqCFyOingObdav4++39RnjuMv0CJSpC84flmUC0T3KZ6n8suS5S9Td5DJMZle9ZpRXjKDgI5hvJcWUuk85zr5fyNY7ytDlsTmI2lsVV9jsGEXsNx1YAJ4vVnqxZgV5RCqtUEEo6vXfMobr/8GvHzwdgTGNzhMni4uAuCb+qbdyAmJV4oAdV5kKpPd2c3Mb9YWm1nCc6cOSPUciqhTAJXVcO2a9YSGXlZlR6xapxa1VJOJVLPxCfjVHEAKpp1Vf7AUn7OUBT/kEAtzAGKFUK2U2hbHClzx7/FPjAagCHF0ehQkoJMn9bIKcxFeHEKMkvLRAOqyQHuuD/ME8uS85Bp8MCArn3QPaJjjd+FVRx/7VolXk+57HLRGLI6ocVyegrkzAGVp7Pfu19YORBzR16F/06/p8b3How5jrmfPi6aSDU3EeltqylQGxOJamsS09aNpRrqGHiZxnNbWic0GInKBSTJUmbi9+7dKx7MDPJ3Hh7W+Sjq0FFnOX99SNQmo0RV7qmcenui1n+BUcRsqEkh4WaFglQt5Wc5i16uraMmdAhpjfsmzDkvA66jdjAbziyttf6YJD1kKya1KHvkwlEt723s+1oftU59vj/PuWwSlcQflYlSyIHEg8BnY4DX2wIfDYXxgwG4Yf/DOBKeijc8EtCvIhWRiVE4lhWDmLQEhUgddM859efGd1BYlIe83DSczUpBDhzR0jcA83r1xxRvJzgf/BXYPR9IO6WQmUEdgB6zUB7SEwhsDwcnF6THHEP0oR2CQHVyLMeype/hBkM0jpU6496cMFATNLbbEPyvtRcMp9YABiMw6nGg5YCav1NGDLD3J+V1nzm1fnWS0LK7B1O1Q8JTK9WoTPDe5P42xjL5hlDSqOOStSQyx3PdBq1+4PGS7RNdE0iQ1+UFqjV4zWoxB2o9X147eIpoJkSf07eWfIXjCbWXhnMMmTf6arx+7WOiCS2TaR1CWiHIyx/HE6Iw+Y15SMhLrVQdMzahQpM4Gn8KDQGuu2jfojaTIkgCMtak3UywdwCSs5RGV1RWqtZrni7nK6VVIjUyrRhJAf2VX7LCgiX9wi/cABRlA1kKedm1RTvxq+fzQ5BfYUArQwG8KoqQWlyC1OJy/J7rgpKKCvTzcsb/BRbiaG4FdpZ6ICAoWNjeqBYDVbE9cl+l1cLY7kMwutvgC96jWtbQHqcuMIm0ZM8aQYoeiDkmfnfziJl49ZpHa3z/6kNbcNdXzyIjL1soT7++8/VKD9SawLUPSTWtmxo1ZhKTn885xpYNtpgw1PoceJi4Q3uYCy0iUWu6mfile/ToIR7VyVN2SdWhQ3pjqWLzSdSmUs7vWU9P1DATicqJSi3NNxfs0KiW8tc0AZsLlezmebNmOzp06FCgqpWsVeBQPaYFiWoPilGtyiO1IGZZys91lewgng2lmjVT5girUJAJfDNFdAsmwVnuEYRiByVo9M1Pwhy3TPzqE4P1bnswJmU9DiXvQn5BPnbu3oOyiW8oAWNOIlIzk4UQJ8ABuK9bdzzsmYmuqbsRmHMUhsxYhfQM7QV0miwaUZUkHEBOKoNynkuDSOb369lFEMN/fX0XZhYfx5lSR9yR0wJFMKBTYAT+L8QZTidXKp858jGgtalxVHWwCmPxw0ppZevhtb+P5ajNmoljKbucXQtfVC2ISa280rQgPLX6/hxHrQ1udSVq41WiapFwtCc7AUv3gffGXWOuE40AGVO8uujji6pGSeZ9Pu9VQUiyu7ufhzciAkORkpOO1zd/JxoMquhCchEQfpoNASYeSWQHBgZWUV+eK+Wnv2d+UYEQjAR4+SIlW7HnYPOs6hBE6tBhOOzcA6UufkBFmTKXstEiJ0K+Tjkh3ts6OFzYG8SUOeHbAsVWxhOl2JSajadzg5Fa7oCWLkZ8FuGMvFLg7zxneAa3RLfwDkKkUB27ow5hwRalgeOIzv0xubfiQ1sTwsLChAK4Nj9QNtR6/a9P8fKfH1ceC9oCUFlcUwOrT1b+iCcW/E9cD0M69sFn815BkHfARecCXnu29EW1tRJVq2RlfcBrX2sS19HRUQgR7GEutIhE7devH+644w6hJKgNvNC/+OILdOvWTXik6tAh2xO1apl4TeBgrXZGbCpKVG+TEjXXTCUqlauqBUBiPUv6C00kqqeLh6SmUrofqg4dMsAMLRca1pbiaxEY2gsxyWw6VSX2QPgyeKEqUTakNauKXAPkpwM+4cBjx3Bg4h84dOUy4KkzwA2/oLzfLcgyOCPYWIY7HWLw36iPEXryI5TnJGNnXjOUh/YWm2lekARDRQXaOJWjXdZR0pyAZzCy3Fuiou0ooOfVgNEBSDoIZMWLCovykkIgLRalydEIDw+Hd0AzbFr4DIYmrUVkqSPm5rREboUR3Vq0w09dg+AatQ4VTOaNeARoM7z277T1E+G7CgdnYMpbdX59kra8l2T7pXG7shtZaKVmaawNm7TwL60JMkhUXYlaf/B4XQokqq3tBKxJOrKZ0COTbxWWTayie2nhh0jPrZsM6xzWFt/e9Qa6tegghBjlFUBLvxAUlhbhhg8fFj6rRBd6ZFPclZYgyDytwYY3JBVVQQiPy6lkhThs3zxC+LMSYf7NkZmXI2JQxj4s7a8JvHYHjJyAmAAlSVfBkn6W83N44pxKz24ALQNC4Wh0FIrejSVKTFZUVob9JY7YXOIOV0MFvgorh1NeBg6XuCPOq4WIe2cPnHSBeIUl/N9vWiT2nZYJ0/uNq1PgQvKOicKaqi22ndwnmn/9sm1ZpaXBHaOvFWri6tuk+OeRH17D1+t+r1Qpv3XDk5WNZS8GroFsOT42hB9oXeDxtPU+cAwUnvYaw9NO5kKLSNQjR44IVcTYsWNFGdPkyZMxb9483Hfffbjhhhtw2WWXiY5uX3/9Nd544w3cf//98vdcxyULdcAtZPBUB9SuiE1JiaoSouaW8xOh/paV9LOZB+Hhal1pquoJpDeV0qFDbuBojbKbC2ityvntgZjkNplVtxcSWfY2SSKzPE5Ks6oKUwMAj0AUuwaIckc2pBDNmDpNhPHK9+D81Gk8Xt4Nu0vc4IJydIpZiQGbb0ezo/Oxv/3dKDc4wBHlcKsohjE3WelOHNgO5a2HIdstXOlYHL1FKXkkkdq8Kw47h6KgqATBpYVoHewJVw8vHN71F1ru+RxHShxxa044siuM6BLaGgvaeyMkLwrlRiek9b4XaFe78gZHlwIr/qu8nvASEFyzn5wKXke8H+2h9J6JF44b9qIa1cITlckT2SWJspSo9hA4Xorl/Je6EtXapCP7Ifx3+t0I8Q3C2ew0oUhVBRa1gZ6nn972Eib2HCGUmaw+bBPYQjSqfXD+y3hzyZfwdvNEC//mYj1zJP4ktAbHePqEqkjKTEFuYb7oah/qF4zoVKXytlVQGJKzUsXrYJ/AOtdqvO+Dp78s5kBDST4qGLvS+qy8FDi1TsyFPBb8DHKraeWKpYNjRalolki8FliENuW5yKxwwQqXFnB280TfNt0QERRW+Tk8Rsv3rRcl/Hw9rFPfGknWmsBka9X5jY2+ePxfXfSJIFJ5HIj/Trsbz191/wXb3HP6EK59/0Hhb+vi6IwXZz2IhyfPFTZv9qIEtfXnNwZLARnzXFOaCy0iUdkR+O233xYZmQ8//BDt27dHamoqTp5UBrDrr78eu3fvxtatWzFp0iTZ+6zjEkdlOf9FPFHVUv6m1FiqvuX8BBcYhJohra8nKsv5rYFqu6AqiHXo0GEdWOZibeCoZpO1IBHtoVmVVhYB9rKvrBbiNqVst9UQpdQ+YS9S9iwTxGx15aybmxcefWIJri/pgZlZEdhX4gqH0gK0PvUDOu58DjEebcX7HCpKlc7EiQeEP5whdgcCco8DGSYvPf/WQIexKAvqhH8O70d+QQFGBbvDxcUVselJ8FnzPLYXuYgS/vwKIy5r0QYLWxkRlBsNg5sPsoc+hVPFdahvT6wEfr5JIW17XwcMvNOsQ6BF4wutSs/tpUxei21yvCPpLTsQlVHmyDHdHkoYGxMupXJ+WzeVsjbpSDXmMzPuhY+bl2g0+NbSryqrBWsDicMXZj0gGguyNIHEq1qeThLv4e9frVSj7j1zBFpfAyR2qnqTx5vEKYyzkrLSRNzp7uImYjXGaRxvgz18gIIMIC9NSQLyuZoIyDOkDUq7ThevywsyUQEHxVImOx5I2Ce24++pJDw9jUrSMrfciAoYcJ1bNmY4ZSC3whmHgroj3uAu4uRZA8/xLyTAf922DCv2bxA/k5ie2X+C2Yl4dX7jGodK1ge+ewlrDm/FodgTyMzPFp/35e2vit4GVbfJplsf//sj7vzqWUGe0/f0i9tfxcReJMbti8Tk5zOZ0BBKzLr2wdZK1IYgUT3tZC60akagZ8FVV10lHjp0NDZP1PNJVMcm1Vgqtx5lK8yIEmdS4i0q52d3TGugkt3mlmzo0KFD+xJGdSEkOzDkIpu+TTJRXFwsvVGlFsQkjykX2LK3q4W6lWXiUlSoBJtD9boW2Psj/NY+hYjppmZM1UA1zeqnf8DIl67DhCx3zHDJxiveafDLj0cr03tE+FVaqDSq6jIFcA9AoZMf4BsBBEQowWjSEfyzfxeSEk+htZcz+rkUIyHxJIxRG/BDgTfeLQgUweWQFq0wv3kOPErKAZ8wYOxzaOboi0OrV9fcKOb4CmDBHMUHtdt0YNqHShMrM8BjSV9UrYI2mQ1ltCI8ZStHSBppobphkC+7nJ/Xkq5EbXhcKuX8WsyBtpgv2Tz0qel34dlf38We04fx2aqfcdfY6+ok8/g3emxmxKbgt2OrBJFKawASsQu2LEZqTjp83L1F0ypanaliE9ngnMkEcdXjoPq7sonv6bOx4nUbv0BknViHZtE74FuYCuc9OUppPpODrPCjwpRJR3qfslojsD0Q3g/Oox5FxdG/4VCajxJnPzhyFivMAnb/IJof0iP2ZOIZtDEqsVlsuRPaOBTjBc8UlDoEojikM/7OdYeLEzC0Y18x3xI8Xt9tWCiab/FYzuw/HsM69avXd+f8lpCejJcXfoS90UeEV+3ps3EoKSsR+/Xd3f9D71ZdzvsfNtx65td3cDhOEdhN7TMaj1xxm8WxoK09UdUkBucktblZQ4PXn65EbTyQG+no0NGQnqgXUaKWmEhUEqiyg3pbgaUrRE5hvtn/ExGokKhqmUm9G0u5ustRourl/DrsHK+99prwBBflV8HBmDZtGo4fP1759zNnzohFak2P33777bzmjLTB4UKM23nssccuWJi88MILaNGiBYYOHYoTJ5TmArJJVI6LssdGKh7sYZsMSmUre7SyCNCC8KV/JxPh0jDxZVR4h8I9Lw5hax4CimtO9IX5NxNEKgPdhUU+GJAageWOFza+EGRpVjwq2o1Bik93VDDQzIoHivJwJiYGfx/eg0CnIlzuVozE9HgUnNqAZ3OD8E5BkCBQZ0W0wIJm2fAwlAMRg4Cp7woilUQEz/t5wRgJtU0fAD9crRC4nSYCs75USirNBI+lFp3kCS1K2rXYV9n7yXteNtmpbpdjSmNTopobOPI9Dz74oOiazetu8ODB5/Wo4DF79tlnERISIv4+ZsyYykpBFawU7NWrF1q1aoWvvvrKrufChirnl5nIaAxzoK3moPbNW4lSbl4Lqw5txh87Vpj1f+18wvDhTc8J0o7xCVWNjO9WHtyMvWcOC0Jv35mj0ApUYlKRWZXwZbMrItDbD+mpMWgduw4ddn4A9y3vI/jUCvhFbwCitysNojJjgOxEIPcskJ0ApEYCsTuBvQuAxY8A38+GwVOpHDSU5ony/gqOU7SXyUkWdm4cDfs4Kd7bR0pd8JFnPFyMDnAK6YRNQcOQLqwFXDCq60Dxnoy8LLy/Yr4gUJ0dnXDryFn1JlDzigrw09bF+P7ICmw9vleQ1ycST4vjzYZhy5746jwCldfqnzv/xfUfPiwIVE9Xd7x6zaNChWyNmMbWfqCNwZNUqznRXknUHBvPhU2DWdJxSaG+StSm0lSK8LTAE9ViJaqscn5625nKcnTosGesX78e99xzD7Zt24aVK1cKldi4ceOEtyTBxja0uan6YADIIG/ixIniPVSVMWgkibdlyxZ89913+Pbbb8VEr2Lz5s1YunQp/vrrL1x33XW49957z9sPkhXWEoCy1W1VFy3WeLU21Da1CEpVKwPZ+2oXFgHuAcibOR/FDh5wTNgNfD1FBH41oWVACDY+/wsCPH2RXeGAW5Lc8JShFwocquxPeQlweiNQmAX3wmQYUk8IsjM6vQA/H9gLB8cSBBWnIyzzBI4kROHqrHAsLfYWStZnW/vj/aB8OJME7XszMPq/po7HNZTeF+UCC+9SPFAZnPS5Cbjme6CeFkD2VHqvFeEpm5jk95e9TXW7WjSWsrbM09xr6LbbbhPzz/fff4+DBw+KOYjBYXy8ssZjL4r3338fn376KbZv3y4SB+PHjz9v27feeiueeeYZ/PTTT4IQpY+xvc6FWnuF8lrhdWhLJaoWc2B9wHN1gXLfCvRr2wO3jZotXv+0eTHWHdle5/tVRX7Xlh3wzZ3/J0r62WQp0Mtf2LWdSo7BpmO7sS1yH7QmUaueE1YFGirK4XR8GXof+hoRKXthTDsJ18wzcCzJg9HVC/ANVxJ5LNfvcyPQ/zZlnukyFWjRT6nkMDoCJflAMYkjAxzLi1FhomgqCtKBzR8JAtVQUYZxzgq55GcoR0+nIjgEtoHTyIeRACc4OzrD0WjEkj1rsPbwNryz9BvRD4ME7H3j56B7y7r9vauCVgv/HtiEe79+Hn/vXi1iwsiz0cL/lNfi/RNuwl+PflZpGUdQjXv7l08Lr1QqYHtFdMGC+97F2O5K4yx7LmWXVXHQ2OauxkiiutrJXNg0apx1XFKgQbk5StRiU2Mk5ybih3peY6l6eKJGBLWozEjSo0dVs5qrRPW0tpxfV6LqaCJYseJ8xQQDPqpn6AE+fPhwQUqy2WJV/Pnnn5g9e3alWubff/8VzRlXrVolOp4yA/rSSy/h8ccfx/PPPy9IuIyMDISGhqJHjx5iwcLPkU2AahWUaUWiyiY8tdgmA23ZxDTPNa8B2apZkg+BgYFSt5nu1BzpfV9ErwMvAXG7gE9HAVd/I0oRq4MNRra/vBBjXrlRJPi+TinGZte2+NX7DJqVm5KEMdtgOLoYbsWK2ic6swRLDx5EbH48nHLiMLQ8Hj8UOGF+YQuUwQBfJ0d81cYNQ7wNgF8EMPxh0ZyqptJEoUSN3QH8fjuQFqWUV058FRh0l9kl/DU1fJBNzmvRSEILwlMLhYwaMMoeU7QIRGVs05zzQgX5H3/8IUhFzjkE543Fixfjk08+EXPJu+++i6effhpXXnml+Pv8+fPFXLNo0SJcc8014nckO9UmwGwaU9/SyaY0F14M6jmxpRLU1iQqj4Hsz6cvZkp2OhbtWomP//0BzXwC0TlM8cauDhLt/HySWMHOAfh83iv47y9viUZFfh7eIr5JykrB/A1/4ppBU9AiQGmoKxO8R3idnmdVVpyLbgkb4Z2Uh4KiHHhVFKDU2R2Fns1h9A6Be7vhogkiPJsBJFQdXQCjkzLfVJQp3tv0/97+FXBmE1CYLZpoEQ7lpnGfY+COL3HWcSxGOeUiwFiGrHIjprlmimaODkPvB9oMQ888o7AXYP+LTcd3448d/8DN2QW9W3XFQ5PmVnqqmkOebjy2C79vX46EjLPi5/TcLESlx4nrkOfpw1ueO0/RStHSt+v/wDfrfheNvxin3znmOlw9aFK9mkeZMxfa8l6wNYnJMciWnqwN9f2NdjIX6kpUHU22sZRazs8ShqYC1ROVSlRzBzIWi5KPAAEAAElEQVSWT7D8hYiuhxq1yERCy/JE1UlUHU0Naklw1W6tVcGAct++fSLTWbV0pHv37uctxpkZpd/W4cOHK39mppQljhMmTBDZUdlknZYkqhbkpBZKVHtRzBJaqGZlE7O8ho0RA4A71ijkZVYc8MV4YMUzFzTSIFjmt/n5XyuDseOFFZiaGoKEsnP5/fI1r2FV4mmsPnMWf+/egaNxG+GUegL++cl4ONMf3xT6CwJ1uLcTtnfzwhBvF6DnbODK92okUAlfNwcE7n5P2TcSqD4tgFv+BgbfbRGBSqjHksH+pUp4aqFE1QKNlUTlmH6xY1ib7zJLFTdt2oTTp08jKSlJqHGqJg0GDBgg5h4VVHt27txZ/G3gwIHo0uV8P0N7mgu1JjfV89rUSMzGsF64cdg0DGrfWxBvby75QpB1NYHXPM+zug+skHvrhidx1YCJosrNz8NHkHVsXnTr50+IhkaywXuvqhq3NDcNPaL/gXdeEipK8mGsKEGZRzCK3fyRHj4ERQPvBnpfC7QZDgR3BLxDRcUGXL0BF08gPwP46wHgpxuAEysEISssZEiyqv7gKorzkRZ/EPe7p4ofsyqMcHV0hnHEo0BvhQwa0WUARnTuj2Y+ATiZdAZpOUq1hYujk1l2biRL1x/ZLppGvb/iO0GgFpUUC5Uvt8drYESbPljzzA+Vc7ZoNHV8N6774CF8seYXcR7px/rrA+/juiFTpBGohHqf25LEtDWJeql8vtGMdU9jmAt1JaoOuwMzawRLBepCURMs5/cyqUg5iOUXFZjtV8qSfi4uqPgxt5xDLcP3cHWTQ6LqjaV0NCFwgqcXz5AhQ9CtW7ca30N/HU7O9OlRwUm9atBIqD/zbwQX6lT6sFENy8eqd7uXEThqtRCyF3LSXiwC1IWk7H3VQsFVqZgleUkidenjwL4FwKb3gBP/ADM/BcIuO+9/uA+/PfiBUCK99+f7iC53xmUZHfCcexKud83Eqcxs+JT8i9+T9iMHZUgqKkVauQNSKpTEoI+xHK9GeGFmoKuy7f5zAf8aPFYJXvOHFiJ4yRMw5pmsBnrMAqa8BbidK9O0BGqAL1slohXhpwXhKXs/1XtJtsJbC2K6ofaLXnGDBg0SKhvOLZw7FixYIILCdu3aVc4hNc0x6t8IkplU4pD0p/rmUp4L7QFaJCcbA4nKbd47/kbR5Z4Kyv8t/gIvzn7wgmbANX1/EnT/mTIPgV5++HTVT/B29UBmQQ72Rx/Ff356Q5CsMvf5vDmzpADOm96BS1EWDChHaYUj8o2ucPMORUrESKR6tYR/WA/ArRb158E/gWWPAwUmWxn3IKDdSKD7DKBZV+Dvh4Bjy2Bw9kBFSYGYui5zzEd/kx9quEMpDKEDgOAuwiccLh7imFHdu3TvWkEqU6FLq4P0vCzxu/yiQgzpeP78S5BwJhGqKk8JAwzIzM+ubArFkv1Hx9yClq5BwoaHILn6zrJvsN1koeDv6YvHrpiH0d0GaXatELYmEW05d9iaRCUaC4nq1QjmwnqTqJTPpqenIyxM8VlUwaxh165d67s5HTqs8kSt62auVKLWozlEY4ebk4tYODBjyNJ8c0lUlvTvOHUAZ1LjGlyJykwm4ap7oupoQqAf3KFDh0TGs7a5kh479NqxFCwvqQnq4oI+YZZC9TWyZhs1gWMygw2Z2+X35UPmNvn9ua+NfZvqtnhMZS5eeTxlnyeVRBXbdPQArvwQhk6T4bD4YRjOHkPFp6NRPvI/KB/6EFBNoTJv1NWY0PEyvPrBHCzPdcAL+c1xoMwNn3jFo7dzEWZneWBDCZOIyv/5GUox3dcR/20dANfmXVHaYxYqVIK2hu9kiNsF46oXYYzeLEqw8l2bwXn6u6joMK7W/7EkwOF3l31Pyd4mryOeK3u4RwkGN7L9KBvjMVXHzouB/m9z584VcRhJHZYiXnvttULtWR/QH05Gx3dbzoU8XrKvu+pQt83zays1qBb3V2NYLxCOBgc8PHEunvrlTRxLOIXPVy3A7Zcr6koV/Fx1fK2OOUOniTjvvRXfIb+4UFiR/bT5b3Rv0QE3DFXKeGWg6rVm2Po5HDJjYKwog6eDAQVl5Uhzaw7Hblcj3TkAxWVlKCutYX4lGbz2VRh3fAGw74SLN8o7TUb5sIdF40P+zvjvs3A4tkz5zMH3o7ztKBjnT8dHXglVNmRAOZtT/fusULiWdZwEdJuOTFaYODqjbXA4hnfqJ4QzUSmxqCgHVh/aLGLI7uEdKoVIbMq1bN86QbQS9FSlnQBtEqgqJTE7d+RVeGjiLchMzRCN4M5mpuGLtb/gr92rUFFeAUcHB8weOAk3DZshqiW18sxUx0Yt5gNzwWtQ9txp67m7PlDXoQ3x+WV2MBfW6yr8/fffRbaRPlocSL744gshiyVuvPFG7Nmzp947oEOHpZ6oNBUvKSs9v+ShCopN5RzOTYi84wBOX1RmCFnSH2Lm/0UEhopnZnrNheqJanVjKb2cX0cTA5tbLFmyBBs2bBBdg2ubL/Pz8zFnzpzzfk+fuB07dpz3u+RkRRVX3UOurnGAycxly5SFtjWQsY3qWLt2rfRt0huP5aCyER0dLX2bWhzT6h6EMkCjfS1QvYO2U4fn0SN6Plqkb4PD2teQunsJtrd/GBVsplENU4Y+jQmHPkRKRiTuclO8UIlffWKwqdhdlO93dy7HlYH+yPftiq0+fZBXEQLsTwL2X3jcvQri0Dnud4RkKovqMoMTToRMQWTIZJRHlgKRcs8VG+7IBu/1AwcOSN9ufZsJ2erap3embFTt4CsTkZGRFv8v/UHNSZS0bdtWXGf0cmPpOzsPX3311WjTpk3lHMI5hb9XwZ/pOdoU50Iecy2uu+pgAxNbQqs5sD5QG7Zogb5e7fBnwnr8sn4xMmLOonvwhXYstZ1nbxgxIqQX/spZj1KDEWUV5Xj617eRF5eOcG95/qhsgOaTG4WOiX8DFaUwFBYit7wUSc4B2FoahNCDcSgoPY2C0iLEep2CZ5WGhiRQu8V8j4jUDSJ+zXMJxJGQa5Bs6A1s3g/X4rXoF/kB/POUMeRk88k4mtsRFfsScGXJ+c2Ey0im5WWhIj8HxelpKI09iezNv+NoyHSkJaWIz09zSUZxQS7Ks4oQmZ8EL2d3xJyOxoDQrjiadgYHzkZW9g5xc3SBu6MrdqUcQ16JonbtEdwOV3UajWbO/li/ep2It7fGH8SDf/8PRabGw92C2mB8m0EIKPXBxrXy576Gmg/qg71794pHU70PzYHW421SUpJZyntbz4X1IlFffvllwe5SCsvnm266CU899ZTomGhrebGOSwdVyTgSdBz8a0KxiQRsSkpU1UeOJGpu4fmT6sXK+YkzKeYrUdmJkTBX7VobCvTGUjqaCDjP3XfffaJBxrp169C6dS1lw6byxalTpyIoKOi837P85JVXXhHliaq6hsGZt7e32V48XFzQv2fSpElWdZrlPD569GjIJvuGDRsmReFUlexjprm2IN0SHD9+XCga6MknCzyn3C6/vyww48/rg11HZaovuPDk9Vb9+rQGVKNxHzt16lTDX69G6f5f4LD0MTTLPojJrvtQPuZcF+5KpJ6EQ1IFjIXnCFQVQ53zxaOs940oH/Uk4NUMiqamBqQch8Pm92A49CsMqECFwYiKntegfOTj8C1xheuhQxg5ciRkjg3Lly/HqFGjhCeXLLA0LSIiQjTXkYWjR4+K/bXWB7N60HPq1ClR0i3Tt3f16tXCC1NmKTOTPGxUFBCgWELIwP79+4VvZ/v27S3exrFjx+olRlHVMyTX/vnnH9GJmHMSg0ceNzVQZHDJMfSuu+5CU5wLGTBbMxdeDFR+kbiht151O4GGghZzYH0QFRUlfG979+6t6eeE7ozAgq1LcCDvDK4fOLuy8zubvXAs5DxYGyZhEnz/DsDX6/8QlYhUUv4Vswl/P/IZHCXEgbzOu3XtiuCd62EIDgLKS1GU74mEgiIkhI9G2+CO6Nyyk4h1UnMyxL6HB5wjb4xrX4cxYxNgNKCieS+4zfgUffxaKX9MOQbH7x6BIe8sKlx9UDb9E7TqMB4ty8tR/P6FY6qjAaB21K/tELhQkQoD/BzyEVG+Dpn9xmJr7CkEtG6O2/rdiN+2L0dsWiIik6KRkpuJnyJXwdfDG16+3gjzaybiQ6pK9ycopfsdmrfCszPuE/6qarn/4r1r8em/v4rv5cJmVaHtcf/4m9C7lbw5xFbzQX1AtT3H+Ool4g0FLdat9QHnGs5RsuOGmhSm9TnHtpoLHeu7mFcvnD59+ojM4/Tp00UW0JaG1zouLbBRlOoLwpL+2kjUkiboiUp4m3xRcwrqQ6IqC6/YtCQxIZqzoFCVqJ6yyvlNXrY6dNgrWLbIskR2g6Qfj+qrQ0KzKnHCOZHzY03ZWgYBDBBZvcGJnttg90hu29xGP2pjmKpNDuoLlZCzZhs1gWMzy2pkbpfflw+Z2+T355pG5ja5LWvPS22QfUx5rbGiSOY2eU+kpaXVvs2+NwBuXsCCGwXB6dBqINB5MkA1TPRWYOc3wKE/IWoP64DD3u/hsH8BwFL8dqOA0F6Am5/SmCPxEHB4EXBy1bl/6DIVhjHPwBDcUZTyF0RFiQW3zO+uNpQikSaT7FavJ5n7yntU9v2kxT2qloWSuJIdY2hxTK29R9XzcjEwSOR10bFjRzHXPPbYYyJxccstt4htsGKQohcG+wwkWUZPEn7atGloanMhj7natV0rqOeE97WWn9PQ91djWC9Ux6xBk3A0MUr4mn608ge8fu1jIl4xd2797/R7sPH4btEIqbykAgdjT+CX7ctw84iZVu+buL9TDsEhJxGgMtQzGB4lpdjn2gmlju4IdnZFam4merTsiAxWCxbln9vffT8DWz9S5rYW/WG4bj6MbDJFpJ0C5k8H8s4KP1TD9T/B0b+1mJ9Tvr8dIVnnV3YQxRXA3FQ/3OMSg6Ftu8HdJxRI3AvkJKBl4VpsN0QgqzBHEJ6h/s3wy7ZliEtLhNFgFN9jYIfe6N+2B37fvgK/L1WqXPw9fPDolHmYM2yaOOb8/H8PbMJnqxcgLj1JjMf+7j54dNo8TOo1ssGJTC3ng/rAluMAv7ctP5+f3VDjkNEO5sJ6rfSYKWRJETO4ahdGZg2pSNWi1EiHjprAG4OZPvq58OHn7l3j+4rVAVd4vDQd0HOGyK4HiRrsHSAUrLmF+TiVHIuOobWrBi70RJVTzk/yW4cOe8Ynn3winqsr2L755hvcfPPNlT9//fXXQjFSk2qCC1iWPzITSiUOyRzOoS+++KLULs62MqhvrJ2v7XWbXLRyuyTpZKqg2NGUXa9lgo1fqEasE12vBAbMA7Z/Afx4LeAVAhRmASX5lW9J9uuDoJI4GHNNzZ+qIdenAzwZWNI3zuQddwEYZHW+Ahj+ENCi73l/oqKK+yoTPJY8V7K92njeZQcsHDtk76eWzd+0aACnZeMTS2FuAy1ev08++STi4uJEHDZz5kyh6FSvk//85z+ivPH2228XFQdDhw4VFQLVuxhbg6Y0F9pLQ5tL4fP5OfeNn4MH57+EqLOxWLRrJa4aMFFc2/RIvFhDRBIvT1x5B+779kVRMk8RB5sfXTP4Cqur4Xh9Gk79BZSXAWy86+AMjzaDkRefh1I4iWa/BPeP+8Fqwaz8HPgUpgFLHgMqyoCgjsD1P55rZMjt/HwTkHsWaN4dmPs34B4grumYn59ARNQflZZ1FY5uKCspQGGFEY/khmB7qQdiYgvRPGkfBrUrRdsWw+F1YjG255xAcbArMvKC8egPr+F0SpxQkJIYbeYTiA7NW8PR6ID7vnlBqHX5+tZRs/DQpLlCocrzvOnYLkFiU71KsFHV2LYDMKbTIPTuKd8WxByoXqi2JFBt3chOqwZv9fn8hkC5ncyFjvWV11ZfeHFRz25Y9MXRoaOh4KaSqCaC7tIq51dIVHqimgsOul3C2onmUkfjI80iUQtL5ZTzF5nOEc+ZDh32DHMXEK+++qp41AaW51rjKcR5WFW+WQouUGR3Eteq87W9bJMLN2vPS41JQ1dXUcrm6alUIcgAlV6ySVSq0LhNPupcpE58TXQ3xt4fAap6CPcAZIcOwX6Pweg+9joYS1KAE/8Ay586718rHF2xp+//wac0Bd2Np2GM3wUkH1VUqA4uQEBbRZ3afSYQeKGnHsHFNJULMsHvbK56rj7jDc+7TPKLoAJbpuWAVsGlVmSnFp3OL0bumHtezCG3Z8+eLR61gceMRGR9yMhLeS68GFQiX4v50pbzVX0/v6G+v7+nD24bNRvvLv8Wv21bjiEd+qC5b5A4BxxnL2YVxPf3bd0NG4/thIPBiOSsVCzZs0aQsdbAx9sL2HsUqMgCPAIAdz+4RwxEu5KjiCxxRGZ+Dtxd3HAs/pQok0/MTBEd7HuvuBeG0kKlWmLOH+cIVGL3fCDxgJj/MOc3hUAtLUXSD3cjIvLncz0/AtqjwsEZR+JP4ZrslkivcBTNFRPLnZBUVIGjx0/AKzoBhuISQfI6FRxDQnEZHIxG0WiqV0RnQaCS6P3nwAaczVbscsZ2H4Lnr3oAbZu1FD/vOX0IH/37Iw7EHBM/U3xzw9BpuHbIFOzcuh1BAYGwFbSYCxvLnGTLuau+amBr57mmNBfWi12qy4tFpg+SDh0Xg6ouVUv262os1dTK+VVlaH7ROeWOOehsIlEPx53EtH5jL/p+1Tjcw8pyfr2xlA4dckEyjdlVa8AFitppU+ai0J4UnrI7jHKBz23KIFS0Jjy5r/SHkk0iM8AlSVlnYxjO3zM+Bsa/CGScAVx9EJlejhORpzB48GCTStQXCGqPks5TsWL9dkyYMBFOB3+FwbcFBrUeLhp87HBphX7X/6dex5pBAP31tFCiyg7wuK+8lmRvl/taW7dzrYOexqC60WK7PFfWfv/c3FypiZJLATxeKSkpDVJCq1XXcXtQonIOIonVUBjWqR/WHtkuyvq/Wf8Hnpp2V+U+XIxEdXFyxpQ+l+N4YhSSMlNRVlKEX7YutZpE9XcoQHk+nUjTlARdu9GA0QEDWndB5IkTyC8uEESqWv3H6jv340tRkXQQMBhhmPqe8PE+D7t/UJ5HPQ54h6I8PRp5316L0PRD597T6xpg5mco37MAnRY9CHW2G++Ug2w4YFmxNwpLS1CcmwE/R6C5owHeXt6ICG4hCOWRXQbg+41/YtvJfdh8Yg/KystEg+I3rn8c0/qOFdcWxTUkT7dHKo3LXJ2cMXvQZMwZNh0+7l6CPOR6Qfa8aes5tjEkNbVQaGoFrkdkz/P2PBfajs7WocMKOJlu4hJTyXldSlSXJkaiMjNI5JlKR8xF57C24vlowkXKLasrUa0s51fVwronqg4dckAPOhJB1kBdCMkODO2J8JRNTKpKRNnBphb7ygUqF6qyQd/8hAQ2ujADHoGi1D4y01CNQK0CrxCUG50Bep/3nyt8UEnW8r08zuyyXh+FFH0XGYTLVmLyfpS96Oc5Z8AkO2jRIhjVYpuyPYu1VBPJIFF5DXFs19Gwc6E5sDWJauvPV6shGgq8P6lGpYfnrqiDQvxRn3mQJGy7Zq2EqwtBArE+fSRqgndFNgzF2agwOADezYEQpblPqLef8EGl4vNsVqqwENgfcwweLq4IP/QTUAHkBXVBQdtRF24047TynBWPip9vBt7pBa/0Q/wXBR0nAld9LuxpKnrMQoL/APR1UmK/lApHfOSVgBc9U2FEBahTTisFzpQAYWGdRdMnEqaP/fg6Pl/9MzYc2yl+jggMw68PfIDp/caJZsOP//QG5nz8mCBQHYwOgmxe+PAnwlaBBCrBe4wKSJkNQxtDtUdjSGrWdx8agsRsyGSpPc+FFh0JmrNasgChwev9999vyUfq0HEeVH9N1ff0UmospSpD6W9aH3RtoXSNpccNJ3lma2sDm0+VlJdKKedn8y/CRVei6tDRaAgwNZvNRZns5kr2QHhqERRyXaSqRtlgqLH7l1JZIls127JlS2zcuFF0jzXnumIzgBMnTtRMoNYBlUilIpVEar9+/cz6HjExMWIfZZNoVN+ye7YWQaPsfdVCTcN91YJElh00k0DlNS+bnJWlRJV9DTV18JprCBKVY4utSUzZc0B9P5/jRkN6Qob5N8O4HkOxYv8G/LT5b0xtNdTsY8DS9UHtewsla1FJCUrKSrH3zGEMN3WctwSuKEZJWT7K4AbHiEGAk2mOL8oTnexj05OAXAgP0tZBLRB3YDk65CWhwmBAdOfZyDpzBP6evqLUX+1tgdbDgCOLgU3vidJ9PkigihG//Vjghp/P24fDEdejd8a7WH5WeU8RjLgqvBm6db4BDyz7DfGFBcgrq8Dvu9eIR1W4ObtgYLveGNqxrxAivfDHB1i2d53wjuUcM7HncMwbfQ1a+DevcX6jXY8tS9ltrUTl5/PatyWJyX0IDAxs8iRurp0oUS06Et9++61FH9aqVSuL/k+HjupwcnAyQ4naNBtLqcrQvHqW83NR4efhjYy8bNG5slt4h1rfm198bqHiaWU5f5FJ0aqX8+vQ0XjUN2q3X9k+Z1qVnssOlLUKCrUifK21b6gOKjG5GCaR6ufnJ227DLS8vb0RHR2Ndu1q9iS1lkC1lEjld01PT0efPn0gE1Res8EBO43bg0UAH7LJSd5LsoM7Lb6/mjiR/f11JaptwOOlhaK+NvsbW4HXa0OQxXV9vnr/yFbx1wWqIlcd3Iyj8afQP7gLvArNvz9GdOmPP3asQHpelmAmqWa1hkRFRTmcK4pQVuoMRzYrdPFSrGlKi+FamIEZ/cZjwZbF4q1RZ2PQMXsPDGUlKHVwQbJXBFBShLScDPGgwjPUNwh+Y54BHF1RemwlHIszxf8aDEag23Rg1ldKg8QqKHVwQ/epLwBfPodjZS7IqzDimE8PXD72TnzSagjeW/QldiUdQ15xgVjbkJBl4ygfd094uXoiJjUBC9IX49sNf1Ruk+X+d465rtIXtSZo0YzRkvmAzYNs+fmcjy5lIrmhyvlz7GQutOhIjBgxQv6e6NBRDzibbuLiujxRm2hjKVWJWt9yftFcqkV7bD6+G0fiI+skUdVts7RDVf1aq0TVG0vp0CEHXFwUFBRYrSLUokRQKxJRy9J7mUGhFvvKErrk5Jo71VsKzgcMiqgwkUmiEiRPDx48KBLntS24rSVQLSFS+Xn09pdNoOXn54v7iOSxTJAckl0+yWuT555NYS9FiwBuk9+9MTaW4vm2h8DxUi3nl11hYU9KVN4vvG+4Dw1JorLJ1MguA7Hq0GZsjd6PUE/zEzVsphseECJEI6S/kzKt9M4tLRLHgQIdFzaCIpnmHQaknxYP/2adce3gKfh9+3LxdqfYGJFgKzM4ICM/B7kFxTAaABeDEeVOFSg/k4X8swcQfGQ5nEqVRIDB6AQMfQAY+8wFBKqKiBadxXN8uTOuz2mN8DwPOB3fhe0n96FT245wMjohD0XIKslDXHqSqDwsKC5CYUmxELOwCpENsAa07Yk5w6fXGQsS/A60wWF1iS3Bebau3jxNncBsDPvQkEpULzuYC5sWu6Tj0lOi1kEANNnGUhZ6oqqLCpKozMjWBXZwFJ/l4mZ11q2ysZTuiapDhxSoZS5caFD5ZykuZRJVq6BQC5sAnmMqQWSrZgMCAkRTFlo0yURISAiioqJw+PBh9OzZUzMCtT5EamJiIs6ePYtRo2rwpbMSPIYkomU3fOA5DwoKsgs1jRal91qo3rQKQmUpUe2hhPFSLOdvDJ6ktiRRbbkPk3uPFCTqsbOnkRCcZPb/ca4c1qkv1h7eKn5OycmwbkeMjnBwdEJpcQUKEo/BLawL4BMGFGYC+RlA4iH4ewbjxj4j8O+JAzCccUOJ0QllZaVosfdrHGw+HJ7unnDNS4Yx7TAi0vbCqyQbBlMBv8HVF5j8f0Cvq2slUNWmVQT/60SpI4wZSUKtS8Wpo4MDwluGIz4uHiGBQRjc4TJkF+QKv9aOoW2ERUKoXzDaN28FRzMFRqmpqSJJRL9zW4Gfz0oSa9a71sLWTaV4DDgGNXUStaKiommX81uC7du3Y8CAAQ31cTqaOFRitLiOcn7VE7WpNZaqLOevpycqoWYcd0cdqrNDLbtMEm7O1g3WNDGnFxHBSVyHDh1Nn0RNS0uTuk21K6/srtpaEb5UCcs+3/zeJAtkBhHNmzfHyZMnpfuicl979+6NtWvXIjQ09DwiUDaBag6RWlxcjP3796Nbt26aqKio0uGxlAle61QJt2+veJk35kCQ1w9VelqoRmWrpLX4/kxu8CHDE9Ue1DeXajm/rUlULeZAS/ahoRERFIZ2zSJwMvEM9sQexaSSCWZ7GrN8X5THAzhzNs66HTEYYXT1ggOKkbN9AdymvUCmFgjuAqSdAnLoiXoWbjiLKwPdkRLWCflZJ+FdlI7uGfvRNWM/DBUVcKwoEw+Sp3yUwQF5/u3gMf09OLYefNHdYHWg2sDTAAPOZqUhJSsdRqNB+Jk6OzmjY9v2SIlPQku3IIwZOUuQp5ZeN/QRDw8PbzAv3JpAApX3oEyveXtTgWpVRVIfcJ7XurlXQYFiRWEPc2GD3RGzZs1qqI/ScQlAJUZVorSucv4mp0S10BOVuKx1V7g6OSM5KxUnEs/U+r78osLzPstSsHxEha5E1aFDDkgOkQyyVoHDQIQEk0xoRUwyYNCi673sbXKRL9u/tGrpvUyw/JwLctmkN8EydHqE7tu3r7IMVisCtTqRynNKIpXkHq8bWgvw8xgIygaJFSpRZZOovIf4PWQrb0g4yQ5E1eBOdnClhbpVi0BYvb6tbValK1EbrxJVTeTZCuocKHu+thc17NBOfWEwGnA6O6Fe8yDL1lVLsuTsVHEMLQYrIH3DBUlZHr0N5ceWM4OiEKlB7YGwXoBXc8BkXRbUbRL8W/YWJf+ORiNcy4vhUl4sCNRyxqgwIsM5AAcC++GX1tciybuNWbtRWq7MawTH3YKiQkSnxonKTNq9je42CDeNnIknr7sfzY2+yE5Ot/gr83wnJCSIZoy2BM8553Bb+5FqTSCa8/m2PAYcA7U+Bjmm8fySU6LOnj27xt/zZqeZvw4d8pWodZTzm7LGaul/U4Gnq4fF5fz0w+nftic2HNuJjcd3omNo6zrL+d2tVKKqpfyErkTVoUN+iXdjIxG1aCxF0pgEhWwVmRZBoXpeZCuGZJzv6uD+kfxjqXtwcDBkgzYB9HLdsWOHUKOSRNWKQK1NkcrjRpKTXv5aBB/cNhMashf8DBq5Tdmlc7yGtFB3ahHcaeWJqgUxy+vOWjU3z41sX92mDt7fTAzIVtNXB69DW8ax/G4cC2xJ5Ggxt5uLge164dv1fyAxPw0JZxPNtjnJLcw/Fy+WlIh+EF1bWKju9wwCPALhVFIIY1Y+CrZ+C4+sOKDDWEGuikZTQSb1XHkZUJQDg3cYnA7+AURvQUXOWRQX5aIgPwd5cESBZzCO+vfEBseW8Cp3wrGEU2gRcPFkXKrJloDjLftWlFWUCWFM6+BwUbJ/WetulcTxkCFDsHnzZvG6c+fO9R6jT58+LY61rccljo22LOVvDOX8tlbCNtQxyMrKEmONLRW35kLq6mzVqlX4/vvvL1hMMpjYsGGDzI/ScYlDbRZVlxK1pKyJl/NbQKISwzr1U0jUoztx26jZdZbzu5uaWFnbVIrkrS2zZzp0NDXQn4plxI0tKNKq7FAlPGUupLX4/ixBYimS7NJcEo8MaGSD5fYkG1nqLpuE4PlnWf2aNWuE2nXo0KEN0uFXJVL5ufRBHTZsmGbNUGJjY8UxlD2/adUNmeSsbA9cLYgd3kNU3WlBosomBGQEtyxh5DmXrWhu6mDyh3MN73N6MTe1Unat58D6gLF9dHS0TT472CcAoX7NcCq/AHtPH0HPrj3M+r+cglxUHZn/2b9R9IawaLwObA8YnWDwDoGLhxPykiLhfmotDHG7AM9mAJteOXkA5SVAgckntSANEFWDBuFzWg4nlPm0Q2D7/jjWfDBOpmSiJDVBNIA6nWKe3cARU08Lfw8f0VyZYpXcwgJ4uXmgU2ib85oBcw1iKZFKhT3XHJzDbQ0trG3qA44xtBSwpTqyMZCoDZHESdLAHskuyvlHjhwpblhm/Ks++PsePcwb8HTokOWJWmQiWJtqOX9uoWUlo0M69hHPzMimZNecWc+TrESlhYAOHTrkgQEjFYSNsfSeBIjsTsZaEJ4sa2bHV5mgbxhJGtmqUX9/fxFIyD6ubC5F0tHaa6k2nDlzRuwz14ZHjx5tkHJUBjz0euV1SFuB48ePC6WabPB6pNI2IiJC+rbZzIPnXCZIApGsk03C8B6SbRGgElb2UM4vI7Bk4EilYWCg+d3HdSjXB+8TrcYvFZdyYycVTOqoVRa2QI+WHcU9ciT2pNn7kFMlTjIaDIhOjcfeM4ct2wFnD6D1ENFgysvdDWcD+iALXkBZseKJGr0diFwDRG0EEg8C6VFAVgKQFYOK0kJkOgYizbsTvMc9CpfJr6Fn/xmY2GsE/Dy8kZSZgtjUBBRVsUCrDcv3K6K09iGtRHxbTpuHshI08w4SZHN1qEQqvU05B5t77NgYknOFrcckrh9IYMquoKgPeN9x7WJLRa6tlbBaJTarg2O5lgmxRkuiLly4EMOHD6/xbytXrpT5UToucagl+nUqUU1/c25i5fz0vLFGiRrk7Y/OYW3F63VHttf4nvxiZaHm7mLdYKn60lKJqkOHjsZHospW1zDIUcsOZUKr0nsSk7KDQi38S0kG8sHycZmgKqVVq1aaqFxVD1QGcFSD8rqgOlRLwoN+Whs3bhQ+blS+ck1a1SNVJqjKIgnN8yITDFRYOixbjUEChGSn7DI5XuuyiVmVmJTdzESLQFQGMct7gtUFtmzecinPheYm8WxFIDYGElVV4TWEB21NaNusJRydHJGYnSpINXOQU3CORPXzVMaov3avFgpOi9BtOuATBmNJPto5nkVCvgMKwgYCEQMVpapXM8DFNB9UlIvy/4pm3ZDiFIq4wKEIuvFzOHWfqvirUhka1hZdWrSHo4MjEjNTEJ9ed3VRTFYSFu78R7we0K4XHIxGcU2WV5QjxC+o1mbA9SVSqeyOj48XDSJtXUXIfeG1Z8umUpzjeAy17kzfmJWo6tijtRI18VIlUevC9u01kzU6dFgCZ9NApnZ+r6uc39lKs//GBg9XZSIpKC5EGX13LMCEnkqy48dNf6G0hmN4zhPVuhLIAlM5v4tOourQIRUsISZR1BiDMq1sAmRvk6oCNgaiOq+xk6gESTVrLRxqApWUJNgyMhSvNRmo3kSKwUf//v1Fs6m9e/di9+7dUlWpDAr5mevXrxfKtFGjRomgp6ZmUzLA7ZB4bttWSUjKBNWtvDZlWxCozTlkQ4vtalE2yGtEKyWqtdvkWM4xXYdt5kJbVVjYE4mqVZWFuWgZqNim5JQVmD0PVq3Y83X3hp+HDzLzsrHCpOasNxxdgBGPAOF94ersjBCHTGQdXImKs8eAvBSgtEiU/MPNF/AOQXlITxz3GoDDETeiw/TH4OJ1YXVBn9Zd4eXqIbxOTyXH1vrRH/wzH69s+UbEveN6DEWb4PDzxrZQv7p9zc0lUnmNsyFk165dbUpcNqbybq3mTntsbKV1oi/BjubCBiNRZ82a1VAfpeMSUqLWlU2sLOdvckrUc4EViVRLMK3fOLGYiM9IxpK9a+vwRHWTU87vrJOoOnQ0NvWNVuoakj+ygz1uUzbZSQ9QBhayCU+tyh4ZSJBgYzAvEyQa6ZPJwEoLAlUFA2B2+SXByUCNFUosGbTGUkH1bVu9erWwDhg0aNAF/q5aEKn8TJIaWjTk4jnWImjUIhDk8c/Ly5OuROW9LptE1soiQIa61Z7UN5eiEpVJII4ptiQxbU2iapkgNActAxQStQRliIyJMut/sgtyK1/zf2f2Hy9erzm8FaeSYyzbESc3oP+twNhn4D3oBmS5RyCtwhsIaAOEdFMaTfWfi/KJr2GP1ygkOLfG4GEjax13WgW1QHPfYCFo2RV1sPL3FMnsjz6GD1bMR/M7B+KNJV+I33cMaYMPbn5O+L2qQhoDDPB2u7gHuzlEKudkKj+1sKmpL7jW0Wo+tEcS1ZZK1IayE0i0o7lQqi559uyam9TwJrVlV0MdTQ+qcbZZ5fw2lN9rAZbGGw1GUb7BzpOervUvJaTX6Zxh0/Deiu/wzbrfMbb70PPI2fwiZaFW9XfWeaLqJKoOHY2xnJ+EEtWYJJoasxKVJA2JOa2CQpmZb7W5FMklmY0IVI9MKkZZRi4TbNrA5qC0CzC383F9CNSqIDk2cOBAsS7k+/m59F1joMT/odqptrI5tWkXzxn3lfcAj3HHjh0RFhZWq0pCJVK3bNkiiFQ2y7C0kRaJQ37HPn36SC91VINGLRSuPGa0bpAJJgs4jsgOrrSyCOB1ILuBmqxyfnsJHC9FEpX3uUpi2soXkfNKVJR55KFW4Phsq+ZSLk7OCPENQlxZEk4lxpiVaMkpPJegI+HYvWVHDGjXE9sj9+OHTX/hsSnzLO/94B0Khy6hCGw2CFu3bsWIPiMqm0lyHN+zZ4+wHSBpWVfihnPW0E59cCTuhGgateX4bny7YSE2HtuJjLwLbQu+uv01+Lh7ISkrVQiJOAU5GB1QAfOStnU1m1LL+JnotHUZP8E1AvfDln6o5LA4z3GNYStwnc51jy09WXm/NRSJOmrUKNgDpLJLXAh///33FwQNvAA3bLBQOq9DRw1wclAu3eI6yvlVlaqzY9NqasQJheQmDdMt9UUlZg6YgB82/Y2EjLO4+6tn8d5Nz8DXw/t8JaqVjaVUk3S9sZQOHY0vcFQJBS6OZJKoWnitklDhNmVn4xkUyg7AGRRxf9mRXiaJyrGfvoksb5NNotIns127djhy5IjwEbUkgDKHQK1OCrPEn+c0Li5OkIf8f55nBnr0GlX3Qy3/V73weHz5//RaNZdsk0WksmkVP1MLFSobSpFAlq164T3Oh+ztaqXQYdAqm1TUSkkjI7jkGCSb4L5UwOvk2LFjmn8Ox3ImxmwF3mdU7XMclO1rXJ99OHDggIjrbUGyhQeEipil0Fgi5ouL3TO5BXmV+1loikem9xuHk0nRSM/NxNdrf8OdY64VnqSWgnNxmzZtsG3bNuHDTcLUXAJVxchO/fHZygXYcWo/Vh5SyE3C09UdQzr0wbDO/TCq0wAc2rEPEYFKwndP1GFR2m+EEU6OjigyiVYsJVK5v7t27UL37t0bRRk/wXPMNY8tCV2uTzh32JLA5HzI9Yvs6oz6gGOfbP93e08oSiVRR44cKW7MmppL9ejRQ+ZH6bjEoSpR1cZFdZKoTaycX51YFRLV8jJIGpC/M+cp3P/tizgSH4mZ79yDKy4bheuHXHnOE1VXourQ0ShB5SQXmMxQW6qsEgkZDw+xOJK5QORCj2SQTJBYYhBL0kZmaRfJMAbgsoNCLvy16NzO884glt6isgMLBoIsU4+NjRVl91oSqFVBAooELh+qbyXPM8kpqj65qGagyvfxfHGdael3t5ZI5b1CNRi3oUVgRxUQAwjZ21aJd9nkC4M72SQqxzQ2r5G9XRJQsklU7iuvV2uDS/rA8ZrS0Tg9UQmeY6rBbAXeuyS3ODZqkcAxB5yDOUbzOKiqy4YECcTtkfuQbygR5/xiJCrjJHUsLTLFi4x95o68SpTJn0w6gx83/405w6ZbNeaShOQ4QEWquqYyl0AltkbuxcHY42IfjQYDrhsyFdcMvgK9IjpXErycCw9hn3gdlRyDYwmnQPGpo4ODKc6t3/5XJVJJzHOO4Bxc37lfK/A64zmmPY8t0RiaSnGe5drHlmQy7/mGsFVIuFQ9URcuXFgjgUrQ+0qHDllwqiznv3hjKWbomho8XJQsoTVKVKJzWDt8Pu8VhAeECO+gnzYvxoy378bhuEipjaV0ElWHDrngYoYlY9Y2GlIX/DJBQtbc7rm29mPjwpTBiWy/VRJhLI2T3RGewTODC25bNhgkMOF96NCheh0PawjU6mCQQBKex4+kLh8Eg+Xw8HBxbVkbSFjqkcrjzqZY3A/VWkEmeB2SRNXCi06r5hxalN2rqhvZhCfHJNn7yrGT9421PqsMHO1FfdPYwICb901DEIi2JFEJXr+2auxUtcrCVr6oEUFh4jmrNF8kai/mpy1IVBO5SFWqCsY8c0fNEtZoe04fxoIti63yGuecxLmTYzjn5r59+5o1JvAz/7f4C8z5+DFBoLL6r3t4R9wz/gbhlarGUFVB79T/W/w58osL4eXmIWwOOCVSXFNfkBzs1auXsGggQU8StbGAdj20mmJC2pbQYo6zR0/WhlCi5ufni+9qL3OhxSQqjYe5cNahwxZQ1aXFJqK0JhSbCFaXJlbOX1UhSk9Ua9E6OBy/PfgB3pnzNHpFdBETeXSqsiDl5GwN9MZSOnRoAy7QSeacOnWq0QWGXHCqZYdaNGyyh+ZS3CaVQ7IVuQxiqRRhEyUtwMUrg5b9+/eb1RhLJoHakLCESKVKl+QyuxZrAVoa8LqRHbAxEOV1KDsYJWHAsUMriwDZqhstgmF+/6q2E5aARArH8cZEYNgT6B9MEtqaBnX2UM5v68ZOKuhPSasaWyAiUCFRE7POIig46KL+rKyqo18oQQ9REpAqOoW2wQ1DrxREKj1SP175I3KqEK31vYfZ0Z4JFSY6d+zYcdFEJEnQO758Bm8t/Ur8fOuo2ejfticSMs9i4mu3YuLrc3H5yzdg3Ks34Zr3H8Dg52bjqXUf47qPHsb6IzsqjwfjQYPBKBS29QWvJSYGmbjjta1W5TQG8NxyraN1N3hzfFm1SJraE4mqhcd/TeA8yDWQNb78DQmLr8yHH34YH3/88Xm/W7p0Ka6//no89NBDmi3wdeioqi6tq7GUWurfNJWoColqTTl/VXCRMbRjH3w+72W8ds1jlQHBuqPbrdqu6tHTFIlsHTpsjQ4dOljdbEkLErVq2aFMaKWA0WK7HEOp/LNWKVwTGPBQ7aIVaUBPNB4PlvU3RQLVEiKV9wj9Yqna0aKsj4ErSVotfDF5rVDdK7v8VqumUmrpouwgkEpU2dcprwtrA0uqKHkNqqprHfUDkwO8trUW9qgkqjWKxaZAoqrzmi3ItuY+gSKeoF2bu7+XINrqOh9swOtgNMLR6CAaSyVmppz39z5tuuHWUbPENlna/39/fyaUqfX5blWbSNETlT7fbJTIXjBUU9aExIyzmPbmnVi8Z7Xo8fH6tY+J3hG0VsvOz0VBcaEgWQk2lzqVHFP5v3zN+JbWBkM69kFZebkQFnm7ma8S5Pdj0o6l/EzecF7jvsfExODo0aM2J1JpjcBrTIuqjPqAQgAmDGyphtXK3qY+4LhHMltrT9YTJ06IuKYxNDXTlESlSmHmzJmVP/Ommz59OtavX48ffvhBDCIN4VGj49KEk6pELb30GksRatmG6l0qCxy4xnQfjCBvJeu29cReRCZZ3olTV6Lq0HHpkahalt5zcc2HbGUNO97bS7BJgpqLepJuWoAkeO/evYX3am3n0N4J1PoQqVRcbt++XRCcWikkqBTlPrRo0UL6tnkNalEex3tGi3OvheqGBAeDQNnliDJIVN5HrVu3tlmzIHsH160y5sKLgckCVi40luZStgK9lTlO2oLM5T3MUnwit6JIJLTq4hpInPL6CPZRGjHGpF743m7hHfDw5LkI8Q0S5f/fbViI91d8h6Pxpy46d1clUFUPVH5ez5490b59ezFvkC9hNQCRV5iPdYe3YdxrN+NAzDH4efgIAnXRrlX4e/dqYX3WvWVHtGsegU4hbfDQpLn46o7X8MTUO1CBChSVFcPfwwcdQ9qgX9seQolaUVEOZycn+HqYl3ji+olKWdr2cJ7nflb1SG0MRCqFeCSitVY+mpOA5HGxZaMtXlu8zm3ZVEqd57QmN0+YSFR7gdGaTDFLCVXMnz9fZFGZFWJ2gwPI66+/Lms/deiosbGU6ntaN4nq1HQ9UQvlkqgq1IGSXkJfrPnF4u0Umvx83HRPVB06pENG4EhSgeQNiaLG7t1GwkttLiUTLL+j2kD2MWAQwOBJCw87db2lBmeyQZK2Y8eOIgisTlo3FQLVHCKVgeTu3btFAMNmXlqWsZGktbRJXG3g/qsdjmVDi+1qpbpRG2DJDgJllDjaW+DYGNEQJKraiNHWzaU4FtnaF5X3vRZVFuagdbCSaIo6GyuSDxw7ayP8Sk1jeQt/hXg9Yur3UB3NfYPw6BW3YULP4SJm5LY/XfUTXln0MZbuXYvTZ2PPswKojUAluC9Ujxa5VMAp1AuL96/Fw5++gIe+eRk3fvworv/oYaRkp8PbzROtg1rg5T8/Fttv5hOIT297CT/d9w4ua91VqE1/3boUn6z8CWuPbEfLgFA0c/eHp6uHOAaPTb4Nh+OUaz7YO0AoWs1Rn65Zs0bMM6NGjbqggU9jIFI5B5BEbQzKfK28xBuDvU1j80O1x7nQ4pokZsvZMVXt4rZ69WrMmjVL3Jh8PPnkk7j77rtl7qsOHZVQJwuVKK2zsdRFJhZ7LufPLdImI64qXI1GA9Yc3ooTiafRIaS15UpUnUTVoUM6uNj4/PPPrQ7KSCJxkSSTuOC2LuZXZul2GUDKXNhycUgihKqDsDDFc01WsEmClgtx2aQQ1UDcZwaQJDu1AMv8GCBStcLAimu7pkagVidSt2zZIojUfv36ie/LEn6SJmyaqpU3Gz3XqERlSaUWalEGwrI93aiE43736dNHk6ZSslU3WjUHUT1RL6XA8VIlUQmOuST5bdn4RK3ysKVvIOdfzgXsSt/QaN+8NVYe3IzIpDO4ZuBkHD9+XJTNc66tDnXM7hzWFjtO7ce2yH2YN/rqGrfr6OCIib1GYHCHy7D60BbxXpKd/x7YJB6MJYO8A0SlnqeLGxJi44Xvaet2bfHrjuWiBJ/kaWpO+gWxaU5FIQ4dPYDY7GTxcwv/5vDz8MbxxCjxs7+nD4Z16os2weGCXP3vtLvx2eoF2B11CHFpieI9Kp/ZtUV7PHLFreK7HUvg/xvQo2WnOo8Z1ctUnjJZzHmmru7nKpHKUn9x7Dp3blACjwQu54CazmdDgiQ5E4VcF1zKfqgExzzZdkA1gWP42LFjYS+weEU4ZswYvP322+I1AyVmY8aNG3ee0ffF/LR06NBWidp0G0tVKlEll/OryC9SlEdcTBDfb1xk0XYKS5SSIxedRNWhQ5PAkYGMNR3guTjWoqRfq7JDrXxRtfIvZbBNz0PZig6eNyojef6poNQC/AyV2COxyAVuUyRQa1Oknjx5UqxvBwwYoFmpNa8LKn64ZpbtLUrw2uO1LZsAZnDp7e0tnexU/VC1aCol+5rl2MaHrkS9dEhULSosLNkHW/uikuBigk3rZl41oX1zxSfzZFK0SHQx2cdkV01zrJerkuDoEKJ4Ta87sr1S3FEbfNy9MKP/eLw460HMGTYdPSM6C+FKSVkpEjKSse/MEfy95V9sidqHhLIMbI3ci11RB3E47qT4OwlU+rDSv5Xk5sB2vXG2IKOSQB3R8jK09Q8XhKuvuzem9hktYq2EjLN4Y/HnOBofCV8Pbzx2xTxBpnJfRnYZIL5D/9Au4ne0J9hyYg/Sc7NEQ6keLWtOpPI6YSUFhW48VpdffnmdBKqtFamsrCEp3tDEbU0g4cxjZuu1jhYe4Y0lCWnvc6HFEr2nn35aeGlQbs1SL5b205S46gLL1l4WOpq+J2pJnZ6oamOpJljO76pdOT8ny4IShUSd2W8CdkYdxMZju8QCor6q3iLTOdCVqDp0yAfLf3m/kuixpvSJZAgXajL9GKs2l5KpKOCClupL2SDRtG3bNqE+kEk4kUSltyhVe1SPyrYL4Da58GQzKC3AIGLQoEGiBJBKXa7zbB1UNASRunbtWvF9GUhqqcDgZ/DeYx8B2WByhWIGksD24rOqBdmpVVMpnjeSyLxmrAHvXzbk1dH4SVStKizquw+2Filxfufcw3Ggocuu6Ynq4uQsyNDYdOXz6Q9Ob9TqlST0HCX8PXwR5tcM8RnJWLFvA6b1u7jajXELG0/xwXVWak6GaAi1Y98upBn90KZ9WzE/UtRDItPdxU2Qts18AhDg6SfWEZuP78b9374oPpfbe3DiLVh1YBNikxJhhAG3DZiBKweNg5OnK+Zv/BNx6Un4bPXPGNt9CCb2HIGerTqLB0G7oWXLlsHN2QUZeVlYdXAz0nMzhZfrIJPgRX0fk2ckQDnusWKYpfv15WRsoUjl2o7rRlsqvauX8tuSzOUcrsXc1RgbW6WbKnJUj94mTaJyoGKm/v333xeLnnvvvfe8C40Lbntik3XYF5xN3XGLa1GicsIj6dfUy/nziuRngbkwUbOOPSM6iUUIJ2xmX2lkboknKhc8OnTokAuazVPBxuDRmkCGiyMuurVS7cgkUdXmUiyjk6mCY3MpBj1cyJGclAUGWUwyM/CWTaKqgQ27APM60Kr5geq9yiCM11rfvn016VDfGMC5jwE5A1GWaVONyvtDtlep+llU+XCtbC0RVxNIKtCnT3YpP4MqCiW0WOPTfqBTp7pLU+sLBoBaNJWSQfhSycrrzZ4Cx8YIHj8qx/jQYpytqcLCVo3AuA+03+EYpcW4YS5IMHEcaGgSlfdyh+atcDD2BA7HnhBd6mlpw7GU5FvVJGion7L2iMtIwjWDr8BbS7/Cp6sW4Mq+Y+pFjvG9AZ6+iD4RhTZeobhxwqxKD9Ta4qjXF34mSvI5ztP79I7R1+Lr9b+Lsv/WzcPx8qyH4FBYgeVbV+NkSgzyK4qRmJeK7KI8JKen4Hh8FK4fdqXwSq2KopJifLd+obBZIzHbLaw9SnMKcSD2gFhvcVxiYpzkKbkaa67ThiRSeU+xsoZJP1urUHnOSKJqlZyub1MpWza20spipzq4tmSsYGvVbX1gldwiIiICb731Fr766iuhSq0KSutnzpxp7f7p0FEjVHVpSS2eqCqB2lQJPC1J1AIT8al+ztCOiufZpuO76r0ttWyGmVMdOnTIB4mMY8eOSSE7ZZdsqd5tMsHFHAlPKvhkgot2rZplcK1EQkt24yr13LE8z9proDaoHqgMpIYNGybI1E2bNgkSu6mB5OC+ffsQFRUlvi99UGtqNiULTFwwcGRzFK3Ib157sgNSElUMzBmoywTJKdqKyExiVC1FbIwWAVRecUyr2qhXR/3B88vxm6XAWqJqhYWtQPKOCQGqtmwJHm/ugxbz2sXQu3VX8bz79CHxrPZnofqyKiKCFGVqZFI0bh4xUzS53Rd9BIt2razX59XWRKombDi6A5e/dINoTMU11fVDpuKGoVfio5U/CAK1X5vu+HzeKziRfAZvrvsOy2O341huLKKy4pFTmIfc/FzsOX0YX67+BVe/eS+e++5NLFv3LzZs34zjadF4+vv/4Z/d6xF9Nh7O5Ua0c2peqY7meE/V6YgRI8S8IoPob6jSfq4zmPCTPf5bmnjj3G9L32GC9xePiS1JZa0sdqqDY7e9iS+1cckHMH/+fDz44INabV7HJQ5nUzl/cbVuidVL+ZuqEpXdGbXyRM0vVrbpaHAQRutDO/UVP7Ok31IStSn60urQ0RjQs2dPQfxYA5IhJMdk+5tpQaJq6V+qbld2kMDjy0Vo9QBPFqjcI0lLFa1MVG8ipZa687usX79e+ufZEgyY2FSKAQMD0KrfVwsilcQDxQY8d1qoXBnsU9WpBTnHe4QEiuygiqo2qghlK/y0aszBa8Xa7e7du1eonbRqWnYpQcZcaC++qFrNgfUBKxNI5tpiP/q07iaeD8YcR25hnrh/6BHOZGJVUrd7eIfK91FJ+sDEm8XPT//6DmJNDZtkEajRqQm466tnMfu9+xF1NlYoSL+Y96qIo77dsFC8Z/bAScLj9Klf3sIPm/4SVX4+bl4Y13MY7hp/Ax6YcgvmXD4T/dr3hKe7J87mZ+C3/Svx9PIP8OCf/4cfDi3H9uiDiMtKFvYE1wyfijuvnSsSnD169BBkshZWiloTqVx7njlzRpzDxgAmOKmK1GJutsRS4FJobLV3714xhtsTLGKXmN2wZPFEUvX++++35CN16DgPTqZSwtqUqGpTqapNqJqkErVQCyVq4XnHbUC7XnA0OogFBxcJLJ2pb2MpV12JqkOHJmB37EWLLGv8poILRRJ9XCzJLHllsKlF6SMXlST3SPzKLCun6oAKS6rhZPtgsuSRpBmfZZNPPGfM4HMROnLkSCkL/+oEqgoGq2w2xRJkko4s79PiOzW02oNBMhUf/G5VrymVSOV3JZHar18/KceX1wLPm1YKRKpp6XFcl2LKmjJHteGYPQSMHNdklxyTqGFJtbWlh2z6wjFch/XgceTx1BpaJQfrA94nHI94P9py7KXykSrIhlZS0xe1VVAYzqTEC9/R8T2Hi1J+zkscW1Uypn3zVsKrlArPA7HHcdfY67Fk71ocij2BOR8/il8feB9B3gFWEajJWan4YMV8fLdhoaiC5PmYO/IqXDNoMl7961OhgmUMNWf4DJxKjsbHK38U/xfk7Y9rB08R1X4kWqvi9tHXYEfkAfy8dQl2njqoVB0aDSgsKoK3szfa+kcISwKqaxvq/GtV2s9rmMkPzleNoZSb55xksa0JPSZvmQilfZItwbGOdhlaY/fu3Zg7dy7sCRZFH99++61FH8YmGDp0yGwsxS6INaHE5JXqYHQQj6Zbzq+BErVIIVFdTMeYn3VZ667YceoAtkfuqx+JarIG0BtL6dChXeDIoIFkpTW+SWpgWL0xgzVgwEEfJap2ZJZFcTHPbZP8kkm6kDzjfpLMkU2iMsA7dOiQZg152KE4MTFRKHG6dlVKHWUTqCoYOJGUIvFO4pafS0sn2Z6TWoMkPO8dBkx1kcGyiVRaUcTFxYmySy0CYCYtuH2qk2SDZAK3L9t3kqQk72fZHnRaNZXiWMmxzVqSmoHjDTfcIG2/LvW58KWXXrokmksx4UPyiSSLbM/j+oDEF8dQlj9r2YCvJozsMhDfrv8DK/ZvxLgew8RYyuQOmwLS4oZzOclJdrZftncdVuxbj14RnfHtXW9g4utzcTT+FCa/MQ+f3vqSiHHqQ6Dy2B+IOY4v1vyCv3atrLSQG9G5P56adjeOJ0bhrq+eE811fd29MbB9L6w6tFn8H0ndq/pPwKTeI2sV+TBuHdSht3hk5edg7eFt+Grtb8jKzMTto6/FsE79Kq0KGhJaEKm8l5i45rzaGKBaRcn08re0MoOkstZepOY0ldKa3C4rKxNrSXtLKFpEorLUSYcOW0L1Oa3qfVrdeJtwboKl/ISHq0KW5GrgiaqW86uWCUSPlp0EiXos/pRF5fw6iapDh3ZBDAmN/fv3iy7qloKLJJJhWgScDPRkkqhctKvljLKVa9weF/WyG71QwckqHioEtSBRuX0SmWwyxe1bGlhfjECtCnqXkQg8fPiwCFwZUPE72kNpckpKirhnGBhTvXuxEkhZRCrJQqpuWLaoVbMIlkXy3GkR+NA2gqX8sssceT54PGSXojIA5Hghe7sySvlVkuadd96Rtl+XMhiAcyxi40FXV1fNm0tp/Tl1gWOs6uFtSxKV4yfnGyairE3e1ReXdx2In7csQXRqPPaeOYzLWncTiTzuBwkZzk0ctyf3GilI1KV71+K2y69GC//mWPTIp7jug4fE/05+4zZcNWAibhkxA71bdRXjRU0EKuPNw3En8e+BTVi8exVOJp0j0vu37YHHpsxDq6AWeP2vT0W8RLQKDBOiH/4fMarLQMwZPh0+7uYTznzvtH5jle+xbBkmDZxk04ZiMolU3ke8Zzmf2vI7VQXXf7RFsPU6prGU8qs+0FrixIkTgkhtLHYO5qLxr3R16KgBqs/pxRpLqQ2omho8XNw1U6JWlvNXIVE7hCiNL04knanXtnQSVYcObcHFq4wyRlWJKtvrikQbCRJ78S+lEpfEixaed6zG4THWqiEIlaEsu2LwZ4l/Z30I1KrqXZa9saMuybs1a9YIPzGtmk9YCx5/EqE7duwQhO/QoUPNJthkeKQyYGSgr1VlFklaNivSotu7WuaoNnGxh4CRah4mcLRoKmUtSc3zxGupocmnpgqWlnMMPHjwoKafQ1KB554N1i51X1T1uHNc0KL53sV6Q4zrMVS8/n7jXygrVz6fYyvHWCpkiX5te6Bbiw7CXuyzVQvE79o2a4llT3yFWQMnibnqt23LMOn/bkOvJ6bgxo8exe0fPoHPNv2KtSn78dAPr2Dq/25HhwdHY8Jrt+DtpV8JApUq0hn9xmH5E1/j94c+wqnkGFz7/oOCQOV40zqoBUrLy1BYWiTsB16e/RDumzCnXgRqY4UMj1T+D8lurrlsrfpUQTsnzhm8pm0J3ktUxNqaROValSINrS0j9uzZI9aRMu25GgI6iarDLqGWQBSbyvarQy3zb4p+qFXL+fM18ETNNxGzVUnUjqGKn9ippOha1b/VUVpWWrmo0T1RdejQDjJIVAaFJElIIMoEF4EMNlkCLBNc2HGhKdubjkQZSwG1KNdk8M2yewZ3WpGMbdu2FZ9D6wCtCdSqIFFF5Q/JO342G09pQXJbCpLiu3btwqZNm8S1PnbsWHGs6hscWEOkUunNMnsqhrUKSngeGeBqEZQyqON+y942rxEGrlqRqLK3y/3lmGatApBjNpvByG6kdalCVkLR3OSgVskwc8H7kGXQ9Oa1JXgseA0zedbQmNl/Ajxd3YWidPm+9eJ3all/bGxs5Zh134Qbxd8W7VopSuMJNpr64OZnsfQ/XwolqpuTi/A3XXlwE5Yc2YDFxzbgi7W/YOHOfwUxWlBSJAjQCT2H48NbnsOh/y3Hh7c8j+TMVMx691589O8PQjgS6OWHZj4BgkClgGTOsOl464Yn0aWF/MSWPROpTLry2m1MSSR66lLhrbXy8mLg2MJ7ikkhW+8H72+tsdtOvcHti/LVoaOaJ2pJlQZSlxSJairn56ROolKm72uBycdU9UQlQnyD4OXqIczZo5Jj0TG0tdnbIdycbVPypEPHpQAuPv7++2+rtsHSJT8/P0EOyFy4cTHKxTaDGVoPaFHOyP2WCSpZtm3bJkqLZGfGSdxxoU5CjWStbPC48HpgWT/JQnMUj9YSqFU/mwoOnmfaFrBsnceP+8DGI7KbHF0MJDh5fTBYS09PFwrK0aNHW+0xZklpP8tCqba47LLLNAvQWF5MdSP3TQuSVi1zlL1tnhtCdlmy2phDttee2izP2nHHXgPHxoyGIlGZxFOVjrYCxyESHBzjOK/YCqpHNsd8jvMN2ejKy80D1w+Zis9W/4zvNy5Cl7B2aNOspVCi0l+Z1wItCFnqf8PQK/HDpr/w9K9v443rHseQjsq916dNN/F4/drHsHDVYhyKOwnvYD8RRxqMBjTzDkRz30B0b9kRbYOVMm+KRFYf2oL5GxfhROJpsR0Spr7uXsKHlceATXnZYIoNpJoqLC3t57jMqgxWsDSWMn6uFzjH2bqRU9XKDFs2jePx4NzMRJ/W2L17N2666SbYG3QSVYddwtkU2NK0u6bsl9pYytnRuUkrUdWSfm83T009UTmQs6R/9+lDYsFgHomq2AKQ4GVnSh06dGjbXIqlSNYQRKq6hmXOWpQdyiRR1e2ePHlSLNxlguQIve7o/yi7dJmkIkvuqdzg/mvhu8UAksQRiWAGOXU1AZJFoFYFCUUqUhnY8xiSxOT3pVqV35nkt1bNEtgsivYRvN74YIBGYpeBkUwStz5EKgm37du3i+OhBXGugueRx1gLj0S1zFF24yeC54nXhOyAUW3MIdu3kmMkxwhrEywMHK+99lpp+6VDmQtfffVVzT+HYypVoLb0RSU4njIhZ0sSlSB5yjGepIvspnMXA5tK7T59GLuiDuKNxV/gpdkPCeKS4z4rVWjdQtuWu8fdgLj0JKw7sh2P/PAabho+HbeOmi3ENqzCOXboCFq4B+HqW6bVOlfEpyfj3wMbsXDHP0jKUpTIRoNRKE8NBiMcjEYEewfgtstno28b+WNlUyBSOZdwPuT7ZHrlWwtWifC8N4Tysi6Q0+CcyIoVW4L3Dtc5sv3Eq4P3Hm0d3n//fdgb9HJ+HXatRCVYMlGbElX1Tm1qcHF0rlSf5kku6a/JE7WqLyq7TtbXD9WW2TQdOpo6GMCQOOFCxBqoJKrsEmwGeiQ0uFiSXc5I+wEqw2SC4xUDMJJ/WoDb5jFmuaFW4Lns1q2bCCBrOz5aEKhVQYKYxDkDWJb6M7jmd165cqUo92fZPwMXkhGWXnMkMXhtHT9+HFu3bsXy5cuFwoWL//79+wvlKQldLVSw5pT285rn30jmkTzXCiyLpIpGdkJBBbfN+00LFa1WfqhabVf1ibMGauMaXYkqFzyeHFdI1Fwqvqha2OXUF0wocF6jEr6hwfn6/glz0NwnEGez0/Dcb+8iJVtRtzPpw3GaayOKOV675lFM6jVCVPB9ve53TP3fHfh05U9CgZqRmVHZREoF46vtkfvw+eqfccsnj2PaW3fi45U/CgKVDY7D/JoJApXqU4pbrh40Ge/d9MwlQ6DWt7SfcyTXJJxLqF5uLOD+UknNfbJ1vErrIXqbN3QywlZ+qCdOnBDjl701lSKaJsOko8mjasOomppLNfVyfg5qbs4uyC3MryQ9ZSG/qGYSVVWfqqUr5pbz602ldOjQfjwgUbVx40ZB6lgKqqu4yCUxKbOknwQdVXoM9mQqDxjIcpFHskT2gpwKVAYDLDuTbRdAcrFTp06C7CPJKLvTuQqW0XNBTtXHsGHDzlPOaU2gVgfVDCQz+SDpSOKTx5ZBN0vdeUyooKWqS30w+FWJd1ogqKSp+iA5zG3x//gdGJiROGZA11C4mCKVhA4DBJYtahmMHDt2TFxLWniocUxgQoFWBLJBAp3nUbbPqtqYQzZxzWCbwaW1x+LAgQPi2m6IUslLCRzzeC1xzBs5cqSmn6UmHdkYx1bQyi7HErCCZfXq/2/vPMCkqLI2fJkEmAVzXLOua1r3Ny1mBBERFTEnzC7mnMG8RkxgFnNeE+qqYMQcEdk157xIEgkT+Z/3Tt+hpumZ6VDVlb7Xp+xJdFdXV9W957vfOed5O+aU2nStmCZT5w48zpz94DArcJ5098Xm2D4Hmr+utLbNQqC8DeMd9wP+bou1NjKXP3mL+W36FHP9s/eYpjlNZqH5FzSLjXvYlh/j2pw4fbKNsbx0Mp3Mct3IIOlkGhob7bhVU1Fteq23uRm4cZ9ENI0KypHKvZMSP/yMJkJhi5VemEMylwj7GvJmZgQ1L8wX7m1BZs44uDY33XTTyJR1KAQ5UUUs8YqjdTkaHSVdRIX5arq21EX1EyfKemuiep2on/38TV6Osln1zc+D2CuECBYCxpdeeqmk5yAgwNHqd8MMJstBdRJ26Yx+w4QOIRV3QhAQeON4ceJgUODEQWz2OiXLLaBmw/vm2BJIUa+ub9++NvhaffXVrQDC/uIkQ3R35yJpooj77hxFNEew3GGHHUzPnj1toExKazkF1I4cqZSaoNkKAmqQXWcRLbgGgnK68h54j0GkXrLfiFF+H5+gGnPg+EUUL7VkAvfq7IUN4c9Y48dYmA8s4FE6JGyCGluLEXQRsVl8DANS+EnlX2XJFWz/hgseHW6ufOo2M3X2dHsPZtyjvAxs+5fNzGMn3mAO/OtOZo3FVjSLL9LdNir+acr/zJe/fme+nvhDi4BKTwicpWwrLr4sSqppmjPHdO3cxfT/W09zwyEXmEO23j3VAmo+jlTGQ+7LZIiELRB6IZ6lHBbjZxTux05EDRNXD7UcpQ1eeumlwBe8giL8s0WIIvDW2MztRK1LvIjqmjX57kTNURMVVlp8OVseYUbtTLvSu8yi7TtHal06v0RUIQKHSciZZ55p04BKWdElMES88tvZSaD30UcfWaegnw4ExEgcnYgbOBL9hGPw4osv2jQjv2t4cgx4XkQ33kNQNUIRHQlacErSnR7xh2AmLAG1rX1kX3LtD+fz008/bdN0o+xUyHakEny44xxkp1+CVFyNuMCCeJ0g0xx5bsoE4MqOS2MO7o0400sVAeIcOEYdjutdd91lhg4dGujrcI2z2IObOui6ge2x9NJLm1dffbXksd8PWAgbM2aMvU7CSEdGSL1oz5PMHS//y/z7w1fMq5++a17/7H3rSF1nyVXN62+/YTbftIddEProw/FmrUVXNIccv7c9bj9O+dVMnfG7jYEm/zHNTPpjqvl5yv/MhO8/M79m6p8CsQ91WLdZexPrgBUdO1LJZGA85Odh1hDOBSWGGIsoRxE23EtYLA6iDE0hIHaz2B30fW3OnDl2LDz88MNNHJGIKmIJE2MEUhynromUl/qMO9VbOzWpIurM2lllqYlKzZ9luy1pvpn4o/lh0s8diqgunb+r0vmFCBzESZxX1NnDdVEsBBeIJkxu/BQgeF6cen6XCmBCzoQTMcbvmkpMINlvAoAgak3iuiQAJsVtk002CSy9jQCRdCkEYdLoKf0QFQE1STghleNMem05hGquVa6roFyouFFYoKDust8gtCD8cA3EpTEHwWWp7hycT6QwsuglghFRBw8eXHKjxXyud84FzrVVV13VhAX3GMYqHOM4QcME4YVjwcImTuswUrYxexyyzR7WbXrn2MfMh99+bJtOsXGvvPujf5tlFl3SdK6oNuusubb59o1RNpbEvYpo+vPUiS09HRw079141fVMjzX+Zv6y/OqRSkWPupBKuR7um8xBojbvwHFJKZy11147kCafhcI8lvGQuXyYBLUImQ3COnOMUmKWMAn/jBGiSJxAWtfQdjp/dQSs+UExX+eAnKi1udP5YdluzatjrNh2xGwnombEXiFEcDABJDW61DRGJrkE+XTm9BOcWwiSQaQd4iAgfczvxlVAQIhQFVTjDtLtCTLY/yDh+elcj1uXiWuuJkjCnyAIYZDjTPpokMcZ1wopk+uvv35gaYgEmLhcg3h+jhXirN+pnZQ34Fz3OxURcRZxvNSyBjiH2b+wuy8nFcp68Bm9+eabgb8WabcsTIUNYyDXU1SOP3WOwy4xsNISy5shA462jZ4GbNTbGj8613Q20+tnmgk/fW4+m/a9eXLci2bU+y+YZ8ePtY5V0vgRUBFi/7zsqma3jfuYc3c71tx6+MXmyO32MeussIYE1AKEVMYOrg8EuVJLoAQB5ZQQ/sOsa+xg/so8LWxHrFuELIcb9qWXXrLietTcyfmSXIVJJJ6aKlLLTU4nKp0XgYEw8U7UMqXzA50o4YdJHU+O3EouHSyFEOVx4JD6fOqpp5YkxhIYMonyu6GSc4yS8ue3o5P9ZrLut6sNIcalwONWCMLNhAhGqj3vIwjnlKuBijOElG+62NN4hZqiYad/JgUCj08//dQK7hxnRNS2mk359Xp0nCbgCqpuGYIhgiT77zcsSlCfMIiUdu5d7p7gJzhmoFQxAKey6qGWpy7q1ltvHehrMaa55nFhusdoiIP7M4ymTtlwXjPGs8BTDjdbRyzffWmzT4/+Zq/N+plX33zNfPLjV6bLIvObT7/8zCy57NJm0UUWtXFK1+ouZqlFFjNLL7qEWWrhxWz2nShNoGTuwWIRNUc5H7KbTYUJi53Mi6inHoV9Ytzi2ilHHdIwFiHbGgvjXNZGTlQReydqfQ4nKl0TobJTdIpX+818AdVEbauxFCzXvVmg+GFyxyKqE3flRBWiPDAZcbXRSoHAJwh3DeIsDlc6q/sJE+AgnThM/AkISA8NAo4LXVBJ6/c2YvCD7CZSBPp8zTEjpRg3oygNAg5EcFwkrlRCW82m/OLLL7+0zx1EmQngPCTwXW211QIRh6hDx3EKohFYUC4a1/Cj1IBb9VCDp1zNpViUojxN2G5U7jeMIVFxo1JWgHse13kUwOVHqaOG2fXmgJ32NPtvt5v5R78DzMqdFjdbrLCB2X2THUy/Dbcx/7fKuma5bktJQC1x7CCDgfEDlyFNJNtqNhUmLIyz4BBEw8RioGwU89iwBd2gFiHbqoca57FQIqqILdWZplF0VMymIeNEjVIHwNg4UTPp/LmcqMt1WzL/dP6ME1UiqhDlq4tKWsx7771X0vMwgSLFnJQ8P2HfEE6CCDiZqNMpmfqNfsM+I8oQGAT52fmd1p8toHoDbmpQIQghpEahw3RcQVhn4QJBk3Ia3nq/QQmp1BXmXMThE5SbEZco++13gzlvQ6kg0hb5PLiOguhu7Ic4yznANRe0QzLtEJiTzh/Uwlc5Fh2LES4RLVnUCRsEGBrGcZ8Ku3SME1C5LyDmkb4NpHAzDuLgxU0cRDmgtMG5x1jHeYjb3rn2XY3UqAip3BfIGqGOftiiJTDXpm4s89iwKVcq/2effWZNFXGthwoSUUVsqcmsFOZK52/KiKhVFckXUWdlRM+gG0tlp/N3NAi6mqidq5TOL0Q566I+//zzJT0PzjM66wZR08yVCvAb0uCZ+OEYDQIcfz/88IMNxILApfUTzPkR+LcloHrPFYRbNlL7XTMxUVh698svv2yPL8fZBede/BZS+YxwLCNABtX9GjGBQBcRJIiFaER7jkcQdei4txC4++2exbFNoFuqa4kSDBxfrnURfF1UFjjKVRc1bBGO8js4Y2kwFQUoMcB1yFgUNQHVwTnCnInSJYjuQdU+TwPcH8eOHWszobIXFKMmpOKSxSzgd8mqYmHeyvw17NqgQS5CZkOcEud6qCARVcTeiZoznd+JqAl2os5X0zWgmqhti6jLZJyoM2pnmmkzp7f7PHKiClF+dthhB/Pkk09GtmEGgRXP63dKP+Caw+EWhBOHGpe4BJj8BwXHHGGpVLGtIwHVC++Jv+PvEXhKLQWRBgj+EJ2peUrtv/XWW6/d1Dc/hVSCPwL9oNL4gWsIdw5Nn4KAY4drLgiBln3nHuM33LOoEVdqDWHuzdtvv73qoQYM52/fvn19GQs7gnssn2fYjn7eM2MgpT6isCDG/nBvJG06qMXHUgRU79iOa5L7ES5xnP6iMCZNmmQXFFnYQxhraxErCkIqC21sNPWMAsxXGbeCyPooJgOFz7Ac9Z2ffPJJe4+OMxJRRWypaS+dPxOkVHRK7inetaZz2WuidqnubBZfqFteKf3uebpk9lMIETw77rijFWpKFUBZFSe9yG9RjYAFMSKIbvQ40Hj+oOqwrbHGGjZQdg1mgoCJPYHFhx9+WFSAUYiA6j1uOEdwIVDoH1eOyA3lIhBPOc6bbLKJDXzySQf0Q0jFCU3dtI022igwEY6AjgZZiLRB1ETD0ck1RNdmvyE1kOcPyuHqhzvniSeeMP369fNln0T7cJxHjRoVuFDD9Y9wz/UZNuwH9xjG7iiA0497JGJmOZ26+Qqo3vsz91XuHQipiFpREKKjDseZ8YJmlYwZ6667bofjRphCKguQZHIwzwqiiWcxcN/AQR5UZkmh+xLEImQ2jNM4UeM+FiZXYRKJp9ql8+dwHTXNaUq+E7Wzc6L6W/NpZu2sVuUSsll20eZaKT9M+jk/J2q1RFQhygWBPt20n3rqqZKeZ4EFFrATuyAENVKRmUD7PXl2TpygUtNJOyJNFDdgUBN/3DAEcwhNOIqCFlAdBBT8OxoJIfIRaMiVOhc+b1LuEJm5NqhpWWj32lKE1ClTptjPhE7CQTRjcnDtcN0vvfTSgT0/DXCCSOFD+EAEKdUtmivwxmlVap04AtTx48fbbAERPNtuu60Vv6l5GTQIDz///HPo9UgZPxhfuc6iAouPiG04UqMooHrnDwiB3GOp5VqumrpxheOL4Ez5CI4z2QX5EpaQ+tFHH9m5UVBZFsVmteS7GBu0sMlnyvgcNKNHj7YLqWTyxBmJqCL2TtT6dpyoVRVVya+Jmqk96n9N1Nx2/uW6Z0TUye073ZTOL0Q4sLqL46lUmEwFUV8NgQaBLgi3DCIKzx2Um3LVVVe16X5BujURNBFSCeTydRSXIqA6mMQzsUUgxHEpV2pr9ykiAE0QSFEtVqgrRkil9MXbb79ta5QGWasMsZD3GFSzDa5LguYg0hYRrxApg2hWRYojXZwRl0sBV2SPHj1amq2IYOE+2qtXL1/Gwo6g/iPnB0Jq2HAP574dRJPFYoVdmuBxb5k2bVokBVQv3GO32WYbu9DzwgsvyJXahvsUAZW6omSxFFNbtNxCKgsqzKcYv8MWLMtRH7xQGD859/1ehMwF9+SddtrJxB2JqCK2VGfSzevaqYkaRDpaVHDipHOO+kFdQ33LsWvTiZqpi/rj5F/yS+eXE1WIssLkhJXeUl0Urn6p345E7svU4iQ4CSJgI4hEUAxiUs4Ek9VzHA1Buo4ISmg+8+6773ZYo80PAdULYoDXlYojJ+jgN4oQ3PA5E0g792mpjYUKFVL5HQIqr4sLOkhw7JFSWKjDNl9w3HB+BtHMg8UeztsgntuvFEel8oeX0h80UUrpRzxmoTJKblSX1u8aq0VVQPXeoxF+va7UqIjSYULJFK/7lAW3Umpbl0tIdWn8NNKMShp/0PXBC4HjThmscqTyNzY22nqoSRgLk6swicRTnakJlsuJ2tjYHNxWVSQ4nb/FiepfTVTvc3Vuy4nq0vk7EFFn1zd3uVRNVCHKy9prr20dAog/pcAElw0nlt8gouLaQUjyG8QmAh6cB0FAMEiAFmSTKWBCiyD81ltvtSlk+y2gZrtSe/bsaQVEAqf33nvPduBNOq4u6JgxY+x5tMUWW5TkPi1WSCWwIfCDoN0zLJZwnVPTLgh4n5yrQTXEYkEGF6rfx4jznRrIpTqFSJXkfpwE900aa4Tne7/GWRZE08RiMia4JqKUjh5kWr+fAmouVyrCG9cv5Tii8PmWG+5fXEevvvqqPSbFuk/DElKjlsYPjCtkYwVRH7xQKBfEHDPITBcH81k+YxqQxR2JqCK2uO7xuCezaczURA17dac86fz+DejO1Yr43JYAvUy3Jezjz1PaT/OUE1WIcEBIIFj3w4HDpDMIdw0TZybhQTSYoukObtGgJuQcX1wqBKnUSgwSRCdETNyI2UJbUAKqF4JR3BvUF+R90wyAgCSJgSTHF2cI4imiC6n7NI8ilTsIOhJS+WwJsijtEORchuDJuXRKTVlvC94LLtcgmmcgnOCUDsJFg+MKF3CpNVyfe+45u/iCu1vEr0Z4PnDtUKohiBI4hcJ4QA1fXJRRgXvYX//6V9/T+oMSUL33abJCXPNFxgfmFmmoGc44T5NLSvtwHJgHMCfxezwKUkhlsT5qafy8P2rrs+AfRH3wQmGOT/mucmgmTzzxhOnbt29gzTHLiURUEVtqqpqdkvUN7dVETb6IOtNPETXzXO3VMV1ioeYgaOL0Ke2m5TgRVTVRhYhvZ2IcWAiFQThaEBVo1hNEeh8pUohSpCgFAcImNSpJTwwyrZ9J/4YbbmjfC6n97liVQ0DNFggIgAkkcedRLgJnKg6GuMO5TeCG0PXNN9/YYGvzzTcPLK09HyGVz5fGYoi4QQdZEyZMsDUdcYcHAecLx5XUzyDgOLHYU1OTO3umFPxKcVQqf/xrhOdDVFL6gfGJfemoHEw5YaxCOGIs80OEDFpA9cI9koU17tfMiRBTuU8nUUxFPEXk4z0yNm211VZWSA4yFT4IIZWxhwXCddZZJ1Jp/NQs5rrEMR42XEMs/JQjlT9pY6FEVBFbajKrGHW50vkzdT0rEyyizte5a2Dp/O0Jn4stuKgN7DnGU2b+3ubf1bp0fjlRhSg7pCAzgaSWVykg4CAmBREYum7XQaTdU3cVxwROnEK6oBcCwWA50voR2kh9Quwj+MTJU04BNVcgSVDFfr322mvm5Zdftq7csDtTFwIBGu4UHL4EijijEKupe0o9wXI6VrKFVERBygnws6BcsNlp/ATIQb1nrg8WYzh3/IZjxr0piGZVnBPcQzkfSq3Hx4JW//79fds3kT8777yzXSAph5jIec7rUDsybFjoY2Ek6PGpGHGXRTkW4UoRysopoHrBbczrsajIvfPZZ5+1af6kvMcdFkX5XFgk5f7HGEQmBAJnOfBTSGU+Quo412SU0vidC5VsqXI0ccrHqct+BJElkg2fKdk+NPxLAhJRRWyprmq++dTnaizVmAIRNVNr1M/GUu652hNRqyqrzKLzNwd2/5s2KQ9BViKqEOUGV9bAgQPNPffcE1l3DUIn9aCCaoDB5JnjgNs1CMqZ1u+ENupoMRHFoVhuATU72KF+Zu/evW2gzjF+5plnrAiIew/hKGogpuMAIeBFVMFFjNBAzTuOJ3WEw0r3c58vggANnhCqg/58vWn8Qbl0CMQRGhBOgoBrD1EjCIGWex4Caqlph1wXXC9JqAEXR3BAU0bh0UcfLct1zLgTRNPEYuuQcs9j3IgK3GNp2IToiJgUJwHV+x4oFcFiNa/PvZSUdxYVuW8EtXAbBOw74/dLL71k95/7HYuk3K+4t5YbP4RU/g3nB/M/xrcowfnBMSdbKgqQJRJEPfFcEI/gQg1ivA4Diagi9jVRczaWmpNJ5090TdSME7Xev8YsTvh0TavaYomFmgfW36a3PTGbndkvpfMLEQ777LOPeeCBB0pON0NIoMFOEB3ambzh2gniuZkU4kbFtRlUyh0iHK8RdFo/EFQQnOHiIY0wqC7HhYoGCOGk+ffo0cMGQDgpEY5oQsF+EiwH1XU3H6cioi7iLvvE58S+4LzEDYHAMv/885sowOfLecr+cNyCDsSpbRtkGj8QBBMsBlFrlfOf4D8IFyrnCMGuHymOBI7ci1k0EuGw7777+rKgmA+c79xzopDmTSYJ10eQnc+LHTdYKEJsLrTkTtgCajbUdieLgfEEYZXsl6gvKJLVgnhGphL7ytjDecuiKOVsyuU8DUpIJZODOSX1kKN03+Xc5fxgUTEKPVtwzbPAEuQcwMFnyD2Ye3FSiH9VV5FaqlvS+RvmWQ5wwUdlp+jcPP1mviAaS+VZx3TxhbqZT376qk0nKqn+9XwuNCbJ1K4VQpQX6jriMMN1RyH3UgIeis4T8PjdvRunAKlWuFFxdfoN7kJSooPsDE6QituOyT61t4LA1UAlsECQev31120qOkFCFCbjCNY4J9kIEEiDJlWcUg0cF9wt7vd8HjxybvrpfiBYJXBClHfCPOI/r0fpCNxofB2V5hJeKNHAhvuHAJLPlyA8qM+Xz4U0Ply4QR0P3NlsQVzXwDVHgOzKgviJ6+ZOU6lSQOihBhwpsiI89tprL3PGGWfY8z6I8yVbVGNxDRE+Cp23ue+Rno0jtRzdt/OF+xyOVMYxjlc+3d6jJqB6YV+ocUmZH8YezjUWFFm4w9HJecd8hPdd7jGI48Y+uTGZ48c+cT6svfbaoYum7QmpuGOB+Vs+x41xgePO/DeIOtmlgHDNeB6V8gLM6TFJlOM6ev311+052KdPH5MUJKKK2FLtnKg0lsq6Tza4mqgRCC6DoqtHRGWFx49BOV8n6pILNzfc+N/vuUVUr7ArJ6oQ4YDAsPfee9vV31JEVMCl8MYbb1jnnt9dNQk0qavJc/s9mXNuVCZwvE4QTXpcWj/pcARKpQov2eRqIkVwweeBkwShLWrBAkIvx5sNhy5BmxM3CeJwQCDO83d8Jtkb5xjnr1sQ5d8xnvNcuEtpfOE2vke0xV2DMOvEWlzOiKZRCrTbqo+G48b7+fJ1UEIqx4uOy0Gm8fO+KEuAqBDU8WfhhQWMIAQJl+JYqovpkUcesfefoJpqifzAUYyocv/995vjjjsu8NfjvoeQw7gZ9qIN91nqL3KfCbNkSS7YHxbdEFJJjW/vfhRlAbW9BUXGJcY8NlyI4BYS3aOfwirHyY23blGR77mXcbwReXmM6vErRUjl/XKO4AyOWso4znQcsswVo3ANMpdCRKWUUTm45557zO677x65uWopSEQVsaXG1UTNOB69NGbSHKuSXBO1c5eWYIXUeT/ESlcTtUsHz7XYgs3p/BN/z53OP6uuOZW/olNFy+ckhCg/pM7QGADRqhS3AS4RBC+6eCIu+AmTXZpXIRbiivAbHBcEDUxgSVULApw0iFI0fiK13a/05VwCqreGJgEDAjSpkVELGhwIonwG3vpqiKMEPASYTgwl7R/nIl8zwScYdGl8HFeCQMRERFYCQB45Jk545f3HITD0BlU4FHHLulII2Z+v30Iqx5RjyWcRZAofggHCNgF7EEycONHe04J4D+w3rj0/7hV33323TeUX4cPncP3115dFREW0RbT87bfffF9UKwZXe7ycXbjzhXsEIh9CKvfBXPe5uAiouUAYdguKvA/GObegyGIN74lxzo1jbmxzG8cD0c2V7+HeyljIGOldTHQLijzyb5yQy/HlkTIxURDvghJSee80kmLBoNRmgEHAogrzxKi4wXHKc06Uo+5tXV2dLS322GOPmSQhEVXElurKTDo/TtQc6eRQVZHcU9wrmiJa+iGiOvGz45qozV38/teGiOrqoXauronloC1EUkDYY1JJU43999+/6OfhOsZV4xxafsPEmBqaOMuCcMfx/DhFCSiYyAYBx4eAiIk8rqdSHbttCagOnh9xDXF47NixtltwFIOHXBDk5TN5R2h8+umnTc+ePSPRydYvCKQ5TxDbcWDlem9BCKnUQSWgQXQPamxGEKCEA/cdv13r7vkRqEhTDuKcwJ1DoFvqfQjBigWOO++807d9E8UzYMAAM3jw4JaahEHCdeoa7kVBRGV/aDLFdUlpnijVieQ+xIIFIhmp77gIvfemOAuo2XDcWezz1qLmfsZCGguK3iwL3i+LRSw4cgyciIoY511QZGMR2iu8Mq4kKfbqSEhFUEaEZ07BuBA1+FyZz1GuJwqfC+cciyrMh8uxP89kmivyGSaJ6NxFhSjaiTqviNqQSQGM0kTBbyorKlvqjc6sa3aQlop7no4E2SUWbr+xlJpKCREtB44fTTVwsOD+mjJlivEbREKECwTBIGACR9BCZ/YgG2wgWpOuRNBXyut0JKA6mAAjCJAihquR4xelBiJiXnA5vvLKK/Z8J5WuPSHQCakEYQippTSbQtChXhwCahDipsM1PQuq+zC1XBEcgmgoxfFFRPWjliWp43S5RrQS4cN9lM7Q5WowxTlEDUoWTKIA4x/CGwuhUYP94r5EdsK4ceNaxrAkCajtjeEs7CK2M8eiBArzCOrF8p5ZZOM+wsIsuJ/xiOBM9g5i2LLLLmu6d+8eW8dpsc2muGezIEm8H5VU+WyYyyF08/lEAcR55hScM+XgnoQ2V0zWuxEprYmaK52/+WdVCa6Jml0X1Q9aaqJmSgW0xeKZdP62Gku55+lanbwJjxBxbKrxwgsvWPGhFBB0CMRYwQ4C3AV0s0WoDQLqEvLciCRBwSQRxyDBYLGCcL4CqheEGoIs3htiKs4MES0I+nAR4ZghSGbLJ+DzQ0glrZgapZT28KvURC64vjjvcUUHETAhquBCZeEgCCEYkZnn9cM9qFT+6MHnwefiXH1BwnWGSMH9PApwr0FwQ4BiESJqIJByn6OkC4ud3OeSLqCK0oRU5jmMiVzPiPBR7IOC6YB5WZTqYjO/ZBEyyMXU7OaKSRwLJaKK2FKTufjrcjhR01ATFbrWNE8qZtb6I6K65+kwnX/h5tW06bNnmJk5BNzZmbIAXTL7J4QID9wNW2+9tbn99tt9cdcgNJBu5je4MRBpmRwHAWIUTgXEJOoeBgVOVCb0CGYcq6AFVAdNKqjHSoBMaYSgxGhROJQlIFX1888/t59tobU8SxFSSRXl36yzzjqBOmEQiXmPOFCDqrNG8AxB1XPFrcs9rlQ3EwsZfNa77rqrb/smSmeHHXaw18OLL75YltfDVcjCYFRES9zvlHzxuj2jBCU0uM/h4OUzYjFSAqrIJaQiTFKiiTGRjI5yCIKFwjjNmEiJgajUrJ88ebK9roLI5GjLhcqCcZREZL+QiCpiS7VL58/huGnI1EStSLiIOl/nrr46UV06f0eNpebvPF+LCzZXc6mWdP5qpfMLEQWOOOIIc9NNN5XswGECixATVEogddtIdw6iZADQYAp3EBPbIINIJsy48XDSMGENWkB1EGwSYJA6Rj1GnjOKwXKa4HxGEEBIQeQuVmAsRkh1teI454OoZeyFcw2xGEd5EPBeqGfJ8wfhciW4xDXjh0B74403WudNVAJnMXeBa9CgQeaGG24oy+vx+TPmsKAWFRA0OM/dgkTUcE0CWehkrpGkbt7CP5e3O0cYT6MooAJZGYxVUarTyhyThc5y1JifM2eOHQuJP5KIRFQR/3T+xvYaSyVbRA0snb8DERWXxuILNQeCE3+f1ObzyIkqRDSgFhzu0eeee84Xdw0p/UGkjBNAsUJOym5Q4h8pjbiRgq4Nh+OH5jrU60L4ClpAdTBpJ1CmiQHvEVdqVOrypQkExQ8//NCKmARRfLalNisqREjl+kHER4TgfAgSl8aP0zuolEruORy/oGqM4hzFhVpqcIlAde+995rDDz/ct30T/nHYYYfZ9FK6nJcDxgDuwzR0iwLcD2jkNGHChMg4ZB2uBiriGOVpqN3IPVQLgcLBmMeYyvyzR48etoGft0ZqVMAIwJgVVGmbYnDNyqihWw7eeustm92x5557miQSjU/VBy688EI7sWR1oq0ABOEne6Pwu4gnc9P5G9oWUSNYH8VPnNjpW2OpTDp/Pg2hllioe5tO1FkZJ2oX1UQVIhIgDBxyyCG+OHCoF0jzgqBqiyI44d5kshfUsVh//fWtUBtkWr97LzglmPS3JXj5KaB6wcVDQwqek7Q33FBRCzSSCucu7lPEa0pp+JEiXqiQimuToIkavUEGcU744D0GlcaPAIXISUpgEI1DOE44hv1IcSR9kf0keBbRAwGB++Jtt91WltdbdNFF7RZULfFiWGqppSKX1p/dRIpjhkhGPeegM0dEPEA4ffPNN+0jYyDjTa5mU2Hj6vmygBKlbATGUDItMCuUgxtvvNHsv//+Nl5IIokRUZlgDRw40Bx55JHt/t3IkSNtcw237bzzzmXbRxFUY6l5nagNmaCCDvZJxncnan1+TtRWzaVyOFFbaqJKRBUiMhx66KHm3//+d8lpfIgYiIOIf6V0C29PJGLyGaQbtVxp/RwrBFvIJXgFJaA6SHOjFiY1wwji5Uotj/sUB4ZznwYRQHQkpBIs4X6jkVTQ6bCI8wS1NHsKCt4PooofDZ/aev7ll1++ZKcw95IRI0YkNn0xKfD5sKBYrgZ8jGdBZW8UC+NCVNL6swVUVwOV6xEhderUqfaeyv1VpBNc06+99pr9miwblzGQ3WwqCkIqC5jMvcjaigpkX1Gjv1z7NGnSJPPAAw8kOiMjMSLqueeea44//ng7KLQHQQorcG4rlxov/KfG1URtx4laGRELfdAiqn+NpWbl7URdfOFubTtRM6Kua3wlhAgfVqBprHH99deX/Fy4WJgk/vDDDyYIcLUhEJGqFRTlSuvnOCFi8n7efffdlrq0QQuoXqiRiiPSuVJprhWV9NIkwGeKM/uFF14IxH1aiJCKWIMoSKAZtAsG0SPoNH6CZ1ICg2pM4YJLP+rWUYeY59prr7182TcRXHkbGDVqVFlej/svjROj5EZ1GRlhp/W3JaA6iNMRUvm7sWPH2utVpAvqVXNvZTzL1UQqSkIq+8p4xZgYlTR+YJymFE65XKG33nqrbbAadCmhMIlmJd4AGTx4sE1pJGWHlUgKjLc1yWVi6q1jxg0eWAkrdjXM/TutppVOhWn+3Grr6+Y5pi3C6pxkH2vn9Pxj1gxf3qcTUWsqqg1Htb3nXKTrQvb4/vb75Hn+bsbsWfZ3NZXViT7+haBrP5rHNG2fx1FHHWX22GMPM2TIkJIWEZ0bFREQcdZvsQhBBmcbK/pM/IKYjLogklR7nKlBTi55LUQtnBQEjAsvvHBLp/agBdRsVyqOO1y+Y8aMsa4E5kNRbcwQdQjWyGpygRsBA+drkOJpLiH19ddft0Iq5zH7Uo7zClEDJ3eQafwu+KOreFDvh8UMFoX8uP6vu+46G2OU6mgVwcL9jsxFPq9ddtkl8NfjfkBDNMYamrpEpVkS15VL60ecKtd9K18B1cHxYv8YtxDTKFESlCtdRIvvv//eZndw/TBXaescdUKqc6vy9+U+n1nIZEyMWho/1xeGhG222aZsx2HEiBHmiiuuMEkmVbPm8847z55A1E2lucY//vEP6xg45phjcv79xRdfbB2u2fBveY5SGD16dEn/Xhjz8W9f28fJU6fMc0wnT2l2R37w3vum4ftm8TuJ/PbL/+zjhxPGm6dnL1jy802c0pyaP2H8R2b1biu0e55+/esXZuasmWbC5x+bp59+utXvxn/xkf3dt199M8/v0o6u/Wgd06BrYkYNxkCEFuqBH3jggSU913LLLWdFTpxXpMb7DWIfAgcOP4SaIOBY8DoEkQhPQU66CQR5DWplcsxonFEuAdULr8l+ULeToBTXxBprrGHF8Cg5J6IOtfpcXV2O34orrhjK8XNCKucVdT0R60l9DxquzaDT+GlYRRCNszcIaLbH83MtlgrPg7MR0VdEH8RuYjxc+WQlBA2iH9cli2fleL18YWENBz0uPu5hURNQsxsmIpaR2o8zPWi3vwgPFiUZX5n/UZaGuVpHhC2kRjGNH1hY5doulwv1ySeftEJq//79TZKJtIh62mmnmUsuuaTDEyPfCdzZZ5/d8jU2a1ICLrvssjZF1NNPP92ccMIJLd9zoyfY6tWrV9ErDLieCPi32267kjuApp1uX4wzV71zv+nctXng9R7Taz562Jhpv1gr+VZrbWySylszPzev/vChWe5PzWm6pTL0jVvt4xabbW5++eTbds/TJb+eYEZ985rpvGDXeV57/BPfm/kmfW7WX2c9s8NWpe9XEtC1H81j6jIM0gITStyoV199tTnggANKmmAS1NCkg6AwCPcdz0+ghAuBsTcotySvgQCFKORHSm9HQguTS5xqvN6GG24YmnBJUL/FFltYJyXBCvvDscCZpMC0bWh6xvEibY/zJQpOXspqcD8kSKJGKc7QoNLrXedhV4oiyNdhjo+4Typ0EHCsSLXGGV4qw4cPN3369LFOQxF9uP/RNZqx8KabbirLa3J/pS4194youJVdRgalZhCqyrFfhQqoXhCDEMtw9fLv1113XS3+JQzGMs5HFiiZoxRy/w9LSHVp/OxvlM5H9osF8549e5btNa+66irr9A97XhQ0kX53J554YodOmVI6aSKwnX/++TZlP9cNnJ/l+jkDTqkiiB/PkXbm69y1VRMp7zFtzNSc61LTOdHHeYGuzatKdY31vrxPV8t0ofkWML90cJ4uuchihooKU2b8Ps/f2HIKnYyZv0vXRB//YtC1H61jmsbPgnF16NCh5tlnnzXbb799Sc9FQIOIihCHkOo31C5H6EC0IlgKAs4B0gOZdLNASopjELgaqEzwCVTfeOMNm4L9t7/9LVAhqj0ILvjcOM44kcaPH2+FK+ZWQQrXcXTF4PKkpiEOVBxQCOBRSMvl+sABgwOVANKl9nNOB3FeUT8RJxgGhiDT+H/55Rcb/G277baBuVAJehGCS4XGN6QvPvPMM77smygPJ598sr3/Mh4GMX611ZeD6xUzT1RgzOP9I2xyHwlSBCpFQHVw39lyyy3tfYhxG6diMc8jogcZwnyuLAgiSBYzRy+3kIroyzkdtTR+5+bF7FCuHkBvvvmmFcAfeeQRk3SiI5W3sUrIJK29rZQJLOl7pFboxhtPqiqbg7uGTBMpL41NzTVRKyvCCUzLhWvc5MTPUpnbEKrjm233BZvTBafPntFSl9Yxu762RcQWQkQLytEce+yxtmRNqSCykcqM8OYaJgXR3R6BD/EqKJgLODcOKcR+k91EinkHXyPk4KjJ7q5ebgiacdDh6sZdSQodpYtIdU1zIw+CI4TT559/3tY64zzhGJFWGgUBlXOK9HHOJYSFtppN+QXP52oIE5gFBU3PmKOTahxU8MexI87wQwjGhYoo5ocgK8oHafVkFw4bNqxsr0nsinM8alkwXGtcdzSairKA6mAhkoZTPNIs8ddff/V1X0X5BT/mHdS8ZaEBo1spJodyNZvieZk3IvoGnclUKFwTzGfLWV7g4osvtj2HylFSKGwiLaIWAhcJEy4emeTxNRsrGkCdoltuucUODgQzdCe+6KKLzNFHHx32rosiqcyslDrB1ItzolYlXESdr6Zrq4ZQpdDY1GhqG5rF0Pk6dxy0LNhlflOdEbIn/zG11e9m1M5stX9CiOg1WUQUciv1pbpRmUiSqh4EpHLhJGB/qcEYFNR4xWGIC8LPzvXZAmp2jVTmLKR4htkh2YFzkfRpXD64exBQERA5T2hMELbYWw44lydNmmSDfdzanNcsFCCeIoCUy9HRkRhBmQsEXgJFb8ASlJDKcWFezcLGeuutF6iz56OPPrLXCm7oIOC8JmAnvbpUSDklfZESYCJ+8LndcMMNNu21HDCecY/FjRolWBBFuOI+/80330RaQPXuMxkB3JcRspgjpK1ZaBJg7oODkWsCZziLG36ML+UQUl1ddPY7SmWQeK+8Z9yx5cq4mzBhgl1895bCTDKJEVHPOeccuwpMx2GEU75m46YKnECsFJOmgNvkxhtvNFdeeaX9exFPnMvUCaZenDs1+U7U5mBuVl2z87MUZtbOdbN2qe44SGSw6LZAsyAweca0Vr/DnQoLdQ2mjpkQojQQKGiu6IcbFRcjIicT4KBENldDjglrkPA+mHi/9957vjhr2xJQHcxNXBr2K6+8YmtNRgHu79SKREjFqeW6vjNBJhCmMVaQgnZYwinOW0RjhHQCdBoOISgj5oVVciEbxFFKQXCukO6Yq55nEEIq5zJucM6JII8FpUFw0AQp1HIus2jCdVcqt956qz0/evfu7cu+ifJC13dKX1x33XVle00WZSgPEmR2RbFZKhwLxBDuh1EWUB3cI1jIpWkmYhxNsuRKjZf7lM+Mc4IGgn6XUwpSSGWBlf0v1TUbBLxf5mjlrNH9z3/+0/ZaoK5+GkiMiHr77bfbCyN722qrrezvqfvGChW2ZkRWVtMPP/zwSBX/FYVRlZnE50znzwQMUQl6ghZRZ9bN8i2VnwlJl+r80hS7Z0TUSdNbB/6/z5rRqmarECJ6HHfccVYwog5mqVBPjUkwzrgg4L7EwigTQ+okBgWv89e//tUGY6UKth0JqA7GKd4b6dE4PoNy9BYLzkvS1KhN6WrPcWz+/e9/WzGPupJRcNEWCo4lxGCCe2pZkqaO6Ig7EUGMGrx+NBzyE0QIxHZczKSyInq0hZ9CKqIEZQMIFoN04uIAx2FLuYSgGtxQv5R6q/k2pe3oHLr88sttI9wouZBE4W7Ua665pmylS7iGOP8Ye4Mog1MKLJ5x/XE/xGEXZQHVC/cLFiTlSo0HrrY2wiZuYuZdQZXICUJIxbnOWIUDNajGh6WMo8zRuI7LpYN8/fXX5qGHHrJ1ptOCFEQRWyo7uXT+xvSm82fS7v2oieqEWITZfIMB50SdlJXOP31WcxmNhbpIRBUiqlB3atCgQXb1uFS4ZyA+0WQqqMCFmlO8BougQbogEZ8Qi5hwswUpoHqPH3WrcAERWOOIDKqGV7Gwj927d7epdnR6ZZGampKkf44ePdrWpcONjOCGcBc1OGdwV9GICfEX4ZSAiqAecZjFdgI5FgSiuACLQ3Ps2LE2FZjALZ+mX34IqZgPECXI4srnXI5yGj/wmePO8UOkvffee+35M2DAAF/2TYQD9zPOiZtvvrlsr0l2Bff4oBYeS4FjwX0QkauUsbZcAmq2KxVHo3Ol4vgV0YFznnkVnw2iKQ5i5qJB46eQyrnFIgOZS2TpRA3eHyV+ynFcHZdddpkdB4OslR411HZVxJbKTD3O3On8rrFUstcJ5qbzly6iuueYL4+mUo7uC84rojJpcun8CyqdX4hIw6oxzg2EpVInPwhqOPcQUv2oNZgLapbiHkRkJN03KBBsETQJInEZFNJ8plAB1QupbKRo87qIVzg0opYm5g1K2BB/cT4gnrLRNAVHF24r3j8b5wWP5aonSuA/bdo06zpk42uOJ0E8+8G5SiOVqDlIckGwx/nEeYVjudAu4k5Iff31162Qynmdr0jM58q5yHVH+nuQuDR+BJCgXJ2kT+Mg4roqFeY6LECdcsopkRTdRf5wvuFGJTuDMjflaBpHJiRud8SYZZddNjDndbFwf2SxCRGUe0ah12S5BVQvOPRxpZJqzT0PMQnBqz3nvggezgXmbozH3IPLKfJ5hVTXC4BzotDz2jVXZK7GQkjUoMwP2UxBjqPZ/PLLL2bkyJF2rpAmJKKK2OJcprmdqOmoidq5qnmiN7u+zreaqE6YLSydf66IOqN2VssKn2qiChFtEEcGDhxoLrnkEnPTTTf54kZlgoqTJYiAxaX1v/jii1ZMQgwLCp6b98OEmbqY+QS5pQio3ok+r4f7j9RtXLFRF/sQHXAPOgchbmSviMmk3gmrnBcE1Hzt3dzPEP34nLMDAFemiSBm9uzZ1l3JY/bXuER4LSeYsnGuOBE3TmnXiMGkpRIYkb5fbHmBYoRURBDOQc5Hgs0gcWn8CDdBiUmcO9R6pDSFHyLZo48+akWB/fbbz5f9E+Gyyy67mDPPPNPceeed5pBDDinLazLGIMaQeuuHsO+3yIvjnTGIUh6FlL8IU0B1cJ9nHuLqeeN85Huu/zD2J81QFoLPgAVwPgPO9XIsVPgtpHqbK7IAErW5BPtHNgeGCIwA5WLYsGG23BPHJE1IRBWxxblMG3Kkp7mfJT2dv2tN80Rgdn2tf07UzvkHMN0XbO4IPOmPuTVRf8+k8iPwds6ztqoQIjzOPvtsm6qLK5UAoxRIIcJVw0QO8S/otH5SyoN0aiIyEwiywo6I1V4KtR8CqoP3RMMTXBsEsaSZl9u1Uer+U1uPzYGwyrFE5HSCJ99T49Z9n5066urWU3/Vm37Hz7OFWIRmXg8RjkApas6uQqF+PyIm5xyieqmBf6FCKucenwnNtYIOFrlfcO8I0u1Kx3HOLz/SDXmes846y4puEmSSAfcUmg2feuqpZt999y2ba57yKNQmxyXtvV9GAc5txnHKiCy00EJ5ueCjIKB6YdEO0Y5FPYS8MWPG2OwJ7gP5lEQRxcPiJnMi7r3MCxHaouAGLlZIdc0VGY+jmH1AqQKOeanz+EL46aefbFM+yjmlDd09RGxxLtOmOU3z1DZpnNPUKuU/qXSu9k9EbamJWl24E3XyH9PmEVEXVFMpIWIBnYJxUyEKPPDAAyU/HwInQSGpuX53WvWKm6T/4uAJMq3fOQ4QnnCkElDmmjz7KaB6X5vGALgP33vvPdvxFKdeVNP7O4L9pqZqR+IUm3Od4lB8+eWXbdCCc4Vjgtjh3KpJxNVJJOCnvh8ii19NUPMVUjmXKctAaYmgzzeXxk9tvKA+UwJLjieLEX4Ev3fccYddFDj00EN92T8RDfbYYw9z6aWXmuHDh5sTTzyxLK/JYg9jMLWwWRSMWsNjxFOuG8YgFjDbc8NHTUD1wn6zMIkIxryBRjgcd+6xUTvmcYcxnBJRzIsY8xm/OY+iRKFCKinrOLJZTC/XAksxzaQwRJRzceDcc881O+ywg51LpA3dNURs8abqN2WLqBknatJronbJiKi1fqTztzhRuxTuRJ0+Zd6mUkrlFyI24MAZNWqUDZRKhcCJCSnuslI6grcHk10mi6SJ42QMEgIsxFMCA5yB2d2UgxBQvZAij8CEEERKIoJTUmHyT4CCsIBjxaWk8TU/43dOTE0iuE9fffVVK6IS8COa+x3gd9RsygW//E3QKYHeNP4gA1MEVIJ5P9zcOKm5X55//vmxXdAQueFau/jii81FF11knYvlwrmjqSceRVjAw9325ptv2lIpcRNQveD2xV3P4iv3WcZUFoyyx3VROIwlHFPcvjT0Ygxji5qAWmizKepoMzemlFTQzRWLhfk2tfvLmbH06aef2gXFCy+80KSRZCtMItFUedwEuFG9NDSlI53fpcv74kStLTydv9v8C8/TWEpNpYSIH6RaHX300ea0007z5fmoe4UghhgTFC6tn5qRuMKCBLGERhUIKF4hNWgB1YGASDBCXTpevxzvWZQPgjfES1LicEzRFCLI1N62hFTcWZ988ok914utv1oIuO+CTuMnAEYkwdXtB6QuUmcR16JIHr1797bZBzhSyyne4vZERC2neFsIq6++uk3nx7lHjcs4CqgOFuEQhrnPIg7j4EP4YzxnYUcUBvMijuFzzz1nm3khUOPY7CjzJA5CKjXdabDGXJN5chRx2RzlrtN61llnmQMOOMDeG9KIRFSRECfqXBHVNp5ISWMp50Sta6gveRXV1UQtKJ0/40Tl3zon6/RZGRG1i9L5hYgTCKgIdAQTfqXBExRmB1x+p/VTCxNRsS0Xgd/CE04cXo/3Vg4B1XtMST3ElUqtyqS7UtMC7lOECec+5bopRzpetpCKgEogjICKsBk0vB4ucgLuoAI/7gkItQglfrhqCahxKrIpBTiZcC7+85//NFdddZUVJ8oFYwiOVMaWKLoiXXkZSvRQDgThLI4CqheuYcbUnj172vdGyjZCIO543o9o/946adKkljnj9OnTbSMySlIgUMcpW6QtIZUFDc51yj4w14wi5WjKmIt33nnHPP300zYrI61oBiBiizdV3yuier9Ovog6t3HT7IY6X2qiFpLOP19NlxYh16X0OyfqQqqJKkSsQDhBSD399NN9ESRJLXJNpoKCiToTdya7pBYFDankiEykqjHZ5utyp3fJlZo89ynpjkG7T9sTUgmAuU6pa8Z1GzTUJaRx1UYbbRRoGj8NTbg2aCTjB7gTKSPSq1cvX55PRBPKt2y//fa2ZEM5QazhvsDiXBRxi6PcI5yQGlcBNVtMxWWLe5INZz61uGnqiLMyu+FhmkG0Y9x68cUXbcNNPnPGLq6ZxRdfPFbiaXtCKuc05zhjh1/jR1ybMubi9NNPN8ccc0xezeaSikRUEVu8qfqukRQ0eOp7eVP+k4gTMKG2xJT+WXW18zxnRzBYuuZSLqV/bmMppfMLETdI6afb5sMPP+zL85EChVsBh0eQwiYTeCb2P/74owkaVz8NMZPXDMM15FypBC8EsrhSmfwH7cYV/qWYe2uflst9mguuGdyo1J1lf4KqY+zAyY2LBedMkOmeuLUJhnkdP5pJcV+8+uqrrUsxrkKByB/q/I0cOTLQkjS5xDzqLvKaUU3r59xnHyn3wbiDOzvOAmo2LIpSWoGyDghT3BOfffZZM27cOJv5EfT9MYqwEMU4waItxwKHNu5+jhH3V7KBkoATUll8Q0CnLFWUU9VdGn+Q2Ry5GD16tK0Re8opp5g0IxFVJK6xlKuHmv03SaSqsqrlPc7OiKClpvMXUhMVFluo2bXyv2mT7KMaSwkRXxBShg4das4880xfaoMRWJEmRwASZK0xnHwbbrihdWUS1AWFq4HKRJvO5Tj4cjWbKufnhRsWsRonLu4QBGuJqdGE8wX3Dg4XXKdhuE+9IBDgCOUcooNyW82m/AzGef841FkECArOf1IcqV3qV6MNuhD36dPHumdF8sHpv++++9qxsJy4tH4cnlFM63fXlxtjEG+SON6wOLvyyivb9HTc+gjc3FP+/e9/23sYDlXul0mFMkyMD4xVvGfmF8w3OB64dWl46cfiVNTgXHaCJNdfVM/tcjVlzIZj4jLWFi1D2Z8oIxFVxBZuchWdKuZN5/dMOpLeWMrrHK0tMZ1/dhFOVFh6kcXt46/TfrOPcqIKEW8GDRpkJ2W4rvyAyTaBYZBp/YBYgmvg7bffti40v8luIoVAjJhKsMFrhuVQYSzkGFMrFWEKIRmXI25HEQ1wC/O5kLqPg5kafGuttVZo7lOgpq9rIoUjtK1mU35BMIow5BZWgnaLT5kyxTp8/QDXzV133WVroYr0gHCOgMR1W+60fuD6jBquBioLQow5jIXUdHY1UpMG4ytiEfeS7bbbzi6e8p4RUXFl4lhkXkD6d1QFt3xg37ln4t5nMZY6pzgdqYG77bbb2s+axVrcmkkF9zfnMvVP+Zy///77nM2mwsYtEoaRxn/rrbfaueXRRx9t0k54szchfIB0/bqGpiwnakPOuqlJpXN1jZlRO7MlHb9YZtVnnKg1ha1oLblws4vml6kT7ePvmcZSqokqRDxB2KEDdd++fc1ee+1V8iSNIIR0IybmTMppOhAUpJgRzCACIXD61fwlW0D1ulV4Hbq34k7BpRaWMIYrBAfTCiusYMsM4CChRhliHU5dEY5bBLGSJkqI/ASifjQ4KjUAw1XEPmWfz05I5dzhGqJGql9uIwQhhBeC0yCbMrGAwoINKcdcn36IRoMHDzYnnHCCvb+I9EC9Pxqn8PmTTcH1UQ64PsisQKDDqY6jOgrkaiJF6juCDgt3/Ay3YlJhLsNYyobQzb2GdGqyP5gfcL9B2OKeSrkDHv24BwUB+07WDsIhjwioLJwhmnKf47Fc53sU4P0zj6P+qUvh53xGVAXmUVEp44KAT5ksMlnKuU+8Ji5Uypx0LWMTq6iSfIVJJBqXyt7URk3UpKfzQ9eQnahORHVOVKXzCxF/EDp23nlnc9JJJ/nyfEy4cJ8RbAWZ1s+EksYvBAO8lh8OgrYEVAeBBm4+Xmvs2LG25mOYsD+kouKa4bjTIIPAF8esKA80IuGcoXYYggPpjzRAC1tA5brgXCAII0Bs63z225FKPT1SQ1lkCFJUcA4dBAC/Fmtuv/12u/hzxhln+PJ8Il7QPAWuvfbasr4uQh2pulyvQWRW+CGgehdJueYQUv/4ozkGSANk7JD94RqRMfdAPEWQc6n/jAHcRxkPaEgZ5PynrXsiLmGEXhayWOzFQctGKRc+LzIRWDCjXAnjFAvnaRJQcVaycIgw7q2Bmt1sKgqOVETvCRMm2EWWctchprQJc91+/fqV9XWjipyoItY4p6m3sVRjpiYqAmpUVo2CpEtNZ19ronbNPF++KJ1fiGRCJ2rEuOeff96mc5UKKec0Z8ElxgQwKHCCEtQgHuK2o65ZUAJqtpDK5Bb3EAFJmLUugQk2KYi4UwmeaAJCLUq+lzM1GBAeaUrBeYeAjWiIGzgKEEhTdoJ5EfVP26uj5qcjFZcTpQwIzoM+71waP45fv4LrU0891dx0002JdtgJ0+61MHz4cLPTTjuZPffcs6zdqMkqmDhxoi0nwfUYVkzTloDqYL8QfHHQspDIfS/IpnFRhHkHjmGvaxjBlPufc3yyeMViJn/L/ZeNY+m+9n7PYhPHk2PrrTvLohbfu3qdjDmI7Gzer73f829o/sQchnkJbkvuxWkSSttb4GN8WnvttW0afzZOSI2CI5XFWWrw8/mVe17B69555512/p4GbSUfJKKKWFNV0XwKe1eHGjM1UdOQyg+dq5pdHbX1pYmoszP/3omy+bLEwt1bpfP/MbvZhbVgF6XzCxFncHJRE47aR6QyluogK2davxOwEIEIHopJh8xXQHUQ8CBaEpy8+eabbU7Kyw3uR0RrAmDcgIi8pBwiLpNirglx6RAgU0KBgAzxAEcSzqyoHFuERRxIXAdcg/kIon4IqQTwCLe4e/xq8NSeSOxnGj+cffbZVvzFlS/SC810dtxxR3PyySebe+65p2yv68ZMFgQZi1yt1CgJqN59JduE8Ya0aETVIJvHxQHuQ9nCKs31uFd5xU427tHe79tqKoaD1Av35GwRlvmK93sWgMKsvx1FXFkbxm3u8e2NT1ERUsePH28/03LfBzgX//GPf9j7H4vwohldUSLWuAm914na4HGipoEWJ2q9X07UwmqiLpVxok6dOd0+x/TZzSmjqokqRPw56qijbCF5mkwxgfJD3CS4ckXxg+wq2q1bNytqsoJOeQLE1KAEVC9/+tOf7GshPBF4OodO2CDuIu4RAOCIYUKOc5ZAF8dTOTu8JgHcPTirOZY4jXBa4/CMmsuX5hhcb3zuCOeFBH+lCKkcH/4NonLQtUQJiFno8TONH+GI2m8cu6iI4SI8Lr/8cpuZQZMpRNVywTWIyEOqPC7Ccjo88xVQvbBwyPjHuMu/YzExCuNfVODzZGtvnOB+5pym7mtcrWST0JQQcdY5VP2qWZ0mcHRyXrP4ufnmm+c1ZoctpFJSgPq73HvKPR4RA+CIpx6qmIvuaiLWVHaqmKcmamNjc2OpqpSIqM6JOru+zh8naoE1UXGcOuH1m4k/tJRTUDq/EPEH9wKpjOedd55NlfUD6m2RikSKYtA1phAH2XDh4QAJWkB1EOwiqJEOjCuHtLqoQCCMM5CaqXTb/e2338xzzz1nHYNM0qNQ9yvKIAwgQOMI4jxBtOvVq5d1jEVJQOVzpOYd7kxc2ThIigm+iqmRymtzjAj+Ee6DDvq4Zqntx6KJH7hmUscff7yaSQkLafznnHOOXVjMdyzxC8Yh7tUIk+UaS4oRUB2M7yxcIryQlVHuOqBxx4mjzL+4/7oUf0BA5Wf8TgJq4VBOgZITXMOFLnqGVSOVhoyMpzRxK3dDJ5pJnX766eaqq65SM6ksJKKKWFOVGUBaiaiZr93vkk7YTlQG+6UyzaU++/kb+1hTVV2wGCuEiCYEQ/3797eCgh9wz0DsIKUNESpocMKQzoZI2JEA5IeA6uA1cTkQ8JBCTzAaJXAHUSOV90rNW9xD1AZDUGXCThMMP5oKxR0CJZympP7hQuOzxMlC3V1qbyJORq0DMwEiCwc0E+H6LbW7d6FCKtcQgjzibdCBPgsVfDa49fyq8XfbbbdZl7GaSQkvxx57rL0fICiUGxyeZFdw/bWV6h0FAdVBWj/jH9c/90yEICHChAVjSmPg5qaGfTHjdrmFVBYgGMvJIiHTotwgoDLXoSa0aI1EVBFrKnI4URsyk/uKlDhRu1Q1T25qS3Sizso0pipG/Fwyk9L/+S/NIuqCXeRCFSJJXHHFFbaW6cMPP+xriuLnn39uV7qDBNGWNGQCw/YCUD8FVAduEV6bVG/cD9SCjSIEvDidcFTiHCQwQFCluzDHjJTwNLmJEAkRAUnlRlQmlRZBgUCmd+/e1hFCIBbFNG8cmYgWfIaFlrHwQ0jlmqb2Ln8btHOFcxJ3HqmVlAfxA871E0880YwYMcJeF0J4rwGajA0dOtQK9+WEew31flnAwV0eZQHVe7xYSGGxjnsSizpChAENH3FFM1awiF9KiYlyCalci4xvvB77XW5Gjx5t7rvvPnPddddFcq4TNhJRRaypqmwu69vYqrFUY6rS+X1zomb+faFOVFgy01zqi1++tY+qhypEsmAFnIkUxeVJ0YtbiiJi5iabbGJfh9fLFlKDEFAdTD6ppUcATAmDTz75JHAnUbEQWPBZk5qOoNqjRw87gaf5wjPPPGPFRESyJLqKODcIinAsIx67Wph8bn369LFiOKUhotzRGJECsYImGZzvfu9rR0Iq4innBy6foEsbOKF/4YUXtuK2X8956KGHml133dX07dvXl+cUyQLx5PDDDzeDBg0qu1OfcQxREpf0119/HWkB1cE9FAGIxTnGXu4PKhkjygXnNGM5YifjEjXr/aAcQup///tf22SMRdtyi5jcAw4++GBz2WWXRaJBahRRYykRa5xQ2sqJmjIRtXN1jU9OVJfOX/ikaalsJ6rqoQqROPbYYw/z0EMP2VqBDz74oC/PyeSMFCvEEFKGgpwoIgAxiaYxAIEiHet5vSAF1OyaejjbCCRxOSLORamGZjYcG44HGyIw5RfYb4Q6hGBqtOH+4/cIWTxGWWD0gvhBkEBjCVL12fie94EASfdbPpu4uC9I38edhtMZlw3O56Boq9kUTh8XqAZ5HXkFWz4/Pxtt0ECDZmv333+/L88nkskFF1xgRcFhw4aZk046qayvTZkYhFRqbeMyp/5oVAVUL7hRGf9ITeY1OH6q6SmCxC2ak7FA/VOuHT8JstkUDSsRaNnvMOZV3Neonc+CkciNRFQRa5wd3yuiNmVE1LR0g3Tp985JWgysoM2uK96J6mqi/j7rD/u4kERUIRIHk0NSXKkxioi6++67+/KciInUmsTtuOqqq5ogoQYWAhCTXoRbJsE4Y4IWUB2IdIg+iJA4BhHrqKkZh/GK1GxcHGyklFKGAfGRmpQIWoisBMlOUHXiatj1Qp1gyr460ZTvcXW5faV5EPUG49g4AWGbzvSIvtRoLcd7yBZSaa6F+IiAynEMGj5DJ9j6dX4RsJLGj4BajnuBiC+IMSNHjrRu/R133NEuMpUTSomss846ViCiZEepZSeCFlAdXFeIQtwzqE2Jw07XmghyXGShlwV6xvsgCEJIZW7Foij7HUZJGUoYMQ6yD3FZSA4DiagiIU7UOfPURE2fE7V4EbWuob5FiC6qJmpGRHVsuvoGRe+LECK6kOo9fPhw60ZFDCy1YY23PiqTUEQtv5w1bUGAiABEjdcffvjBNr8oZyCH+wYhGuEJIZfUTIJJJuNxgYCEc8Hb6ADXhxMpp0yZYtNNEVYRHBD2cK6yuU7D3o3nK2ayjkBKupt3Yz+831MjlOd3oi6CKV+zX3EOEHCfIlxy/vzlL3+xpQbK+X6ckMoCCE3ICPgQd4KGz5SSCyxA+PV6LCQfcsghZsCAAbZ0gxAdgXByxBFHmAMPPNCOXeV2Va644opW9MTZ6RoYRllAdXC/53VYvKQ8DIuION7kShVxHRf9FFJnzpxpFxkodRX0XDgXzOEYC0nj5x4j2kYiqog1VZXtpPOnZEDuWl16TVTvv7VO1AJLuyzbbamWrwdtuZsZuLGCECGSCg5UGkxRH5X0fj8mqLgFSENm8ohTJejVd8RTgkcCOlyUuGHL7QbFsedcqbhy4uRKzQXBN6K6V1hH0CQ4R0x14iYiq1fsRAglgObfIwRwPnk3oCEEQpfb+Df8ewIm/iZbmOX84fjyNQFO3AXTbBAtnZN666239j1NMV8IVPkceH1E88UWWyxQMcQ1h+Oz9dO1fsstt1hnq19lSkS60vppvHjKKaeU/fVZjOPeyKICNZALvfbKLaA6GOMY7yidwn2MMiRypYo4j4t+CKmUHaBMBwvsYdUhJY2fa/Owww4L5fXjhERUEWsqOjVPGBo9TTpcY6nKinSc3n7URHX1UCs6VZjqyiqbqlkIyyy6hDl+h4PMgl3mN/023Kbo/RBCRB8mhrhRXVo/tVL9AMeAH86ajnA1UJnwIrKRkkzDJ2qkllvA9LpSCWYJJhF04+RKbQ+C8vbcFAiijDfONYo4SmDvxFJEUlLbqPHpFVid6MrnRzp3kgTSfF02nDc4RcJ674imNL5AvMHhm10j1W84H2gQwjnCNeLX+3Zp/CwIScQRhYDD/vbbbzc9e/Y0/fr1K3sHbcYrrjeuPcQjV+c7ygKqF+4blCPwulIRcOK6kCjSPS6WIqQyD2JBhOfAUBDG/j/77LPmgQceUBp/nuguJWKNc5vO8VgnnaBamZJBuIuPTlRcqMXeOPf+ez8JqEKkBNyG119/vTnyyCOtCOEXpDARmCJqBtHtNLuJlEstJOU7V7fxcoGzDucE6cm4UtPSwZjxBnGUwAGxFWcSDbhoQrLccsvZDfiejd8hOHP+EYAT+Kdlso/L5oUXXrCuXs4VatOG9d6pX4yASk1S3KcutR9XalDXEaItde4oG+CXSEvguv/++9uFoN69e/vynCJdcA1Q3mafffax53+54dpjIQOHP+JHPuNGFATUbFcqC6dc34x/vBch4jYueoVU5sVkN+R7PVLfmGuhkIUQP5k4caI56KCDrKteafz5kQ6VSSQWV/fU60R1NVErU1MT1YmopTtRu9SEN5ESQsSL3XbbzdYQ3GuvvawTwA+YRFIfFVGTCWiQAqqDAJJJr6u1GJaQ6lyp7B+dWceOHWtri4p0w3mJywxxErEB0Sas9H3gGvr000/teeptIhWkkEqgjGhLV3I/G2edf/75Vri56qqrfHtOkc60fu7fJ598ciivzxjGfQEnHgtwcRFQc7lSWSTDlcr4z74KkQvmnDSOisq4WKyQyu94H4jAfi4QFgLX2QEHHGDHb+qhivyQiCpijUv58NZEbWxqSFVNVD+cqLPqMk7UIppKCSHSy9VXX20L0Q8ZMsS350SMYTKJ84zapUEKqA5SwvmdS6miNlVYOFcqDj/SwggSEJVF+oJEArAxY8bYr8N22RDsIWTiQiVApI5xNkEIqZz7uHRIcfSKtqWCe+nyyy+36YthdEAWyYHxg27Wd9xxh3n00UdD2QfOYYQkRFQW4eIkoHpjujXXXNO6Un/55Re5UkWbi2o0Bp0xY0bo42KpQiq/++2336ybPKgSVh2B+5Ta/DfffHPkjmOUkYgqEuFEbS2iZtL5O6Xj9O7SUhO1tmQnalc5UYUQBcDKP3VRr7nmGvPcc8/5OgHFkcoKPTUxgxRQHUxgCULp5P7KK6+Y6dOnm7DAjUBpg2233dbuFwED9SBxK4hkg/DIOYt4OnnyZHve4sAM02WDiItLG6dbjx49rGusLfwUUlnMoEYy9ZLZ/AL3KenXw4YNs+KsEKVCPU9ECFJi2xIxg4brkgVI0vqprx0nATX7fdBgElcqGRnOqSfSDXMyxiG21VZbzY4zUXGfFiOksiDJvYL34WeGRSHQyGro0KF2MVE1wQsjHSqTSCyVOUTUBtdYqrIqXU7UjJu01JqoQghRCIh91157rdlvv/3mCdxKYckll7Tp7YgoBH5BCqgOBFQEK2pvIqTihgkTJtZ0f95qq62soPT8889bN6Bf5RNEdCDAIqDiM/7+++9tt+rslPkwwO2DkIFLm3TbfJqe+SGkehttcB/wC8Qk6qAi0hx66KG+Pa8Qu+++u9lzzz3tFtY9mgwG6ipSV9yNX3ESULNdqYx9HEuNfekFAR0h/aWXXrLnLo3c6F4fB9dkW0IqmVa4P3GgLrDAAqHsG+WiuFdRjoQGdaIwJKKKWONqhzR6VncaMyKqc6kmnc7OidrgQ01UpfMLIYrgwAMPNL169TL77ruvr7UQmSivvPLKdrW8UCdKoQKqg4k5wvB6661n04ij0OSJiTiTXCbjTHxHjx5t319Y9VuFf3BusfiA25jzlXMP4YBFhLCDRJpNkFJL0y9c2qQt50spQqprtMEcz+9GG5deeql1AN10002hH1+RPK688kozc+ZMc9ZZZ4W2Dzg4N9hgA3sNIaTGTUDtaOxjTNbYl3xYOP7Pf/5jBXQW1UjdZ15GQ9A4kS2kIqC6xoy5yuKUa95x8MEH20yM4447LpR9iDvpsOqJVKXzu8ZSaauJ6uqaFoOcqEKIUkCMGDFihBU8Lr74Yl8DSJoGIMS8/vrrtlZaPkJOsQKqFzrDU2eO1DECUByhYRT998KEm/eEuOXqU+LWWX755VtqhIv4QKkKPkfcnquvvrqt7RaVz5FAjwB2nXXWKbpbrxNSuXYRUhFDOrqGvI02KB3g5zVHjWGaSSEML7TQQr49rxDe7AFSYznXEX223377UPZj2WWXtYsRjF+ITjiv4yagtjf2ffXVVxr7EgqCKZ8v8zjmb4wDcU81d0IqGU4sAISdZTJ8+HA7JjPWajGxOHTXEbGmMmdjqWYRtSI1NVE7++BEbRZR5UQVQpQySaQ+KiIqTVv8ggkeq+U8P+m9TLCDFlC9gRvBJyIXHYOjUJeN47HEEkvY/SLNGVcOLkZSweXOiT6IhAgBuKs5n/ksSU/EcR0FMQDhhfq7pBrilClWQC3WkYpAgrjMa/vZaINmJKQuXnTRRbbeshBBgbiHSEGJG9xnYV3H1P5FOMXRl4QGTd6x7y9/+UvL2Eet5rCzRYQ/5+w333xjnadkZ7AQ4cc8LiowrnGeUjaK8Sisc5Zx+NRTTzX33Xef6d69eyj7kATCn60J4XNN1JZ0/rQ4UWt8qIma+bdyogohSgG35nXXXWcGDhxoXZJ+Bk+4XBGZSFFksh20gOrAxYODABEXBxsphVGAY4JbdptttrFNTTjeNPciXSwKYq9oDeIhQjd13TiHaZ6CeIrTmqAqCjjHN+c4QoVfAVa+QirXL6ITAqqfKZuISAMGDLDX8THHHOPb8wrRFtTd3W233Uz//v3tIlw58dZApTQIqf1cd2HX+PZz7MNpy9jH4tP48eNt3Wa6nIv4gZiIEM7iO2MA2Q/U36aMTFLAWUtmB2MbGVVtNZsKGo7zzjvvbDMycPiK4pGIKhKSzj9nnsZSqamJWuVDTdT62a0EWSGEKJZBgwbZAHKnnXYquiFULkjrpfMwAuEHH3wwz+QzCAHV+9oEoquuuqpNCabxT1RAWCYNnNRRhOZp06bZzu40FqG7uxw64cL5irsSgZtAiqCf+sHUPo1Sei3nDamG7BPBld9djzsSUgkqP/30Uxtk+tlog/N/8ODBtk7lbbfdptRFUTauvvpqu1jCmFiu+3CuJlIIjjSqY/Hmxx9/NEmBsY+66SxGLbXUUrYJJfcw3mNbC60iOpBVRNkYxFOEcOZXCOM09kzSfRrHNIIpYxsLk201mwqa2bNnm1122cXOP44//viyvGaSicbStxBFUpERShtbOVGbWv0u6fjhRHXp/F2r5UQVQpTOZZddZlfdaTT12GOP+ZamjBDDRJTUemo54Xxlsh2kgOrgdZjkMwEmGCVIRQiLymTfpTqy/fHHHzY4IWUcMQyRFdeqn+nRouNUWpynpO3RJIoUcjpnR+V88ULqJMIL5ze1WYPax7ZqpLIoQRDNIonf1y9p1aNGjbKv57cwLER7UL/7oYceMhtttJG58MILA282lUtAdSBMuUwOFjJYzEkKOPm5byGoIkyxaDVhwgT7PeVIorRYJYxd0GJ+wvjIPXm11VazQn/YNef9BnGUefAPP/xgr0fv2OaEVBblYa211gp0bsC+HHbYYfYY33DDDZGch8QNiagi1riUfe8qjnM3pNGJygSqGLFiVp2cqEIIf4MammsQPJ599tk2gPQLl17P5JPajTR/YqW/XLWzEMRINcP1Mn36dOvwKaRreTnAyUdKHBNzXDkEK0zmCaQJKmlooEm0/5C2SxDP8WYs5ljTTZhmM1GEOQOLDyxCcB5zfgRNtpBK8Mx1zL3C7/RNautR+w1nNg1ohCg3nNOPP/64dXdTwxonWLkFVAduTa49ajEjpFK7NUnjAPcWStsgEFO6AOc/7nYWEFlIZH6QpPcbJ4jTKbdAzVM+G+ZR3PNxZibxM+F6JGOKbCCu/VzZFeUUUq+44gpbP5gxV4sK/iARVcSaqhxO1IamhlTVRO3qET4RUoupazq7XjVRhRD+QlOmJ554wjpHaQKx1157+fbciFJMPpkUsnBW7u6tTH6pGUnQSioaja/KIUAVI2Yj5LERXBPAIP4i+i699NI2qOZzikJDo7iCkE5QyEYtUY4ppR9wBEc5OGS/OX9JqaRGG2nH5cIJqdSHJdDEkcrx8hNqBO++++7Wico9SIiwYHy44447zAEHHGDd3ixwlVtAdbCAxnhJlgJCKvuWtPs/913GNzbKlOB6RKhCyGIsVFZG+SCFnIVFtvr6erPCCiuYbbfdNtFZAYypiJVcX4yt7dX3LoeQ+vTTT5uhQ4famv7MT4Q/SEQVscYN/N7GUq4mqms6lXQ6V3duJYYWI4Q6J2pXz3MJIUSpMCG89957rZhBuh01O/0ChyXuBgRBnH/ldpkQhOGkIFWL0gKkRBMcR82V6lhooYVswIwbilRzRL+3337b/g5XCJNrXFMKLjsWLHCXOOGUmqccN5yOiIF+NkQKAq4ZnKc4tEh3xY0WRhol5yBBJsE01y8iql/7gZjUr18/c+CBB9pNiLDBgUqKObXCue/65bouRED1jgVkUyCkIvZQaiRpqdQOFoco+8NCLnMGFhKVlREsnJMTJ06093XGSMrYMBdE1E6aYJ8NYxpObxawuR7zmU8FKaRSc3Xvvfc2t9xyi6/zbyERVSSmsdRcEdUVE69M+I3aUV1ZZQXjxqZGU1tfXHOpuU5UiahCCH/ZYYcdzJAhQ2yXYiaXuEBKxdVAdUEjk09vjdRywWshnhEQk5KMK5X0bYKFqEKwTADJhqDmBEEm2zSjIuBxomqS3SKFgIOG2qYcJ8Q/PneOD4I0nz0BUxzAfYrzk271OEEREMKAGqguhR8ndHaN1FJdQLjecTxdcsklvu2zEKVCTdSPPvrIDBgwwDaaK3XBpRgB1ZvNgSOVzASuP67FJKf5erMycKci8PHeEfW8i4hxuZdHDcYU7xjJceQezBhJyaW0lPNhYQLhnvI4hYxlQQiplE9g0YbGinvuuWdJzyXmRXcKEWuqKppP4SZPTVTnRHW/SwNdqjubGbUzW8TQop2oSucXQgTASSedZJ1v22+/vRk7dqwVToolVxMpN/kkoCSVutxuB4Jh50pFpPrpp58i7Up1MEmnJhkbwQ4NqQiAcNXimmJiT3BJkIl7KS0BJuIygiNBCEEhj6SCciw22WQTe/7Gyb3kdZ9SG5AALSznGU4wzi2uF5fCn6vZVLHv8/DDD7epo9xn0nK+injAPWPkyJE2nZmmi9QNL/ZcL0VAdTA+UeqC56GrPY3duM8nHUQusjJwp7pFRNypLqvAjXlRrWUdFdx8geM3adIke+5w7KhLm7b6szhvGb9YVOe8Kua9+ymkIuj27dvXGgvOP//8op5DtI9mFyLWuEC5VU3UxnSl80Pn6pqMiFqkE7WutkWMFUIIv2EiSEdQHDik2Y4ePbqoACWXgOp11eB0xV2CEFNuASWOrtRsEArZCIK8zhKOKd8zyee4uy0JwipiBMHg1KlT7YZLiQ0QSwkK+Rzj6qaJivsUgZNrl1qlCDcI9201mypWSMXpRzMpnqecNZKFyBfuI0899ZQdr4466igzYsSIgoUSPwRUB/dvrjcWWFh4wEEXpzGr1BiSzAs2t4jIeIdTfvz48VZs5f7PxliXJlEwF97MFbaZM2faY0dWC4vXacxc4ZhQc/e///2vXTjH6VwKfgipZM7stttudi539913J76EQljEe+YrUo9rHuVN5yetPU3p/N5apnKiCiGiCsHa/fffb3r16mVTi/71r38VJMC1JaB63aBMPqk3xwQUx2AY6YnOlUogFidXajbsL6UX2AgUaBDhhEbEVT4L6n85YZWA0z1GVVhFfEBUdGIpjwgR4PYfpyZf877iHDTzmSFYfvLJJ6G7T9kXRAkCb8SjXG63UoXUa665xtx444322o9ikzchHCwgPPvss/Z8R7A855xzQhFQHdznqI3MdUlJl9VWW83WMI/z/a9QeK/c89l4/4xtzmX5+eef2/EQdyqLUEkYH/I91zjPGCcRTzkewHFgPEl7DXWOjxvX/FygLEVIZZ8OOuggu080kkpyiY6wieYsV4g8qexU0baImtAi6W05UaG2SBHVia9dVBNVCBEgOEafeOIJ27H0iCOOMDfffHNek8OOBFQHE3rEU4JMXDX8fRjuCN4T9cC8rlTSquLaGZX3w2fH5lxKXmEVQZJ0NoJNgk/cVvwtgrJ3Y0LvvvZbaCV4YH/Y2Af3tfd7BFTeixN7aazE1zg2khQQe92n2a7PctPY2Ngi+nDdt3c9Fiuksjhz5plnmjFjxpg11ljD53cghP8wPjzzzDP2mkCUogxFGAKqFxYfuHeTecA9hDErqgtiQcOx5TNi4x5GSRcWD3EdZi+8ucc4C6u8R7fA6Da+x8XoMk9cDWs5G5sbSDFGUYN7yy239L30Q7FC6qmnnmrHT/5dGkpzhEk674wiMVRWupqoTTlqoqZHRHVp+C4tv1BmZf6dnKhCiKBhEu5cOGeffba54IILfBFQHYgudBumgQd13hCRCHLCgIk1deZwpRL8EixTLysJ7oBcwipQV44g0ytgUi/N+z1iAJ+TV2AlWOc52QjSeESoBdyU7nv+rXv0CqQIhuAVat3XnDc8unIFcQ10O4Jj8tVXX7W4T3GXhSmCkFaIM5xAEwdqPud9oUIqwunBBx9sne1ca0LEBcaCUaNG2VrhLLjtuuuuoQmoDsZKRCGu21dffdVef3EtZeIX3H8Yu9lylYChSRWORHf8nKjqFuiiJjpyP0YgddkYLiODscLtO25cvuazT+p4WSwcL64P5rIs2gc1xhYqpF5++eXmzjvvtH8f1wX7OCERVcQaJ5R6G0uxmub9XaqcqA3F1USd5ZyoqokqhCgDyy67rBVSEVYITI4++mhfBFQHE01S6Ak0mVDioKB2Vxh4XakEWtSDXXXVVW3d0SSmwjlhtS0QQBHXsp2iBHb8zgmkbPwMeHQiK48EpWykz3mFWFIuoxawlgOO2Y8//mg+/vhj+/7Ddp8Cnys1irkGCQQLCTTzFVJJPUZ4ot4yQpQQcYMx8N577zV77723vWYRMMMSUB3ummUh8qWXXrL1LlUiYy7cY3H5sTG2e5sROmHSCavEpIxL3sW97KwMt5WaQcm42lYWhndjPOUe6xVMeSRLQIJp2/AZs0jJOEu5C45b0McrXyH1rrvusg2kXnzxRTu/FMEjEVXEGlf3tHU6f/PXFSkSUZ346RylhaKaqEKIcoNLjgYbPXv2tBP4/fbbzxcB1cFEk9ReghXEHD+K/vvhSsWVSRMC0gLZP/YpTeVn+FwIKtk6SjcjKMTFi2MriYKzH0EdKaYEdQTLXFME9WEHwogIpASzcIEAU4yw3ZGQyjXUp08fM2TIkHnuHULEiZ122slcffXVpn///tZZTSZFWAKqg2uWhnos/lEahHR2mi+laawqBO65TlilwaS7P7dXWsb7M/6WhSbEVJeJ4X10MJdxz+2yMhBqeR4e+dtskRYhjntx9oJj2ONEnCDTheuAsa3ci5QdCamPP/64LY9FqSwaw4nyIBFVxJrKjFDamKMmqms6lSYRtVgnqquJ6hpUCSFEOUBUfPTRR83OO+9sA4i99trLFwHVC2nNpKQhxBC4/PnPfw7VrcjkG/cRTRoQgmj+g/hFAycFNSJfaPSBeIrzCVcM9V2jIHDgiCXYZIEAR0wp53RbQirlCrbZZhsbOJ544om+7r8QYUBJCoRSGi8ipCKGhCWgesGBimPx3XfftXXGEXhJURcdw73PiZbtgRCKSOctd+MEUieW4h5FyEagdVkZTmTlnuhEU+6Zmkf4P9Zy/nMdbL311qE0CW1LSH3yySeti/3uu+822267bdn3K81IRBWxxgml3nT+hqaG1KXzl1ITlQFaTlQhRFjgRKWeIWm5BAMEj34JqA7cNKRJ4o4jICUQDGMi7GDyS80qShngtEQMQzhG4F1iiSUUBIk2YSGA8wUH6sorr2xLVUTBpctcAnGTdEeuL79qsmULqQSyBIt0ID733HN9eQ0hosDxxx9vxbLtttvOCqk4C8MUUB0sQtIAi0U/On6vu+66LW5LUTqM93y+7X3GZGVQXoFSSFG436cBxjTmZZ9++qkVLRlvw5ybZQup33zzjdljjz3MHXfcYXbZZZfQ9iutpK9wlEgUlZ0q520slamJmqa6aC01UesLd6LWNdS3NO/oUiMnqhCi/PTu3ds89NBDZtCgQWbkyJG+CqjZgSBCLQ2nEKPCxtVLRRTiEdcRE2ScD0J4oWHXuHHjbI1Cgm0WHxDdoxBQI/zQaAMXKteY300tnJCKaxsn0D777GMuvPBCLTaIxHHyySdbdzVjAtd72AKqg5iKsiobbrihFfOoR+ya+QmRNGbOnGneeOMNK1RyDVLDPgrjjRNSyeAaOHCgue2228xuu+0W9m6lkvSoTCKRVOZwojpBNVVO1Iz46dLyC8G5UEFOVCFEWOywww7mgQceMFdddZVtvhQEiDE490hRREglpT4qYxmTdIQx0v1x3eGajYLQK8IFoeI///mPef75560bCRGRWoUdpYiWixkzZtg0X4TULbbYosM6t8VCDeFTTjnFCqiXXnppJAJaIYLgjDPOMCeccII57bTTrLs7SrBAwj2I+xJNbH755Zewd0kI38BURFMwzm3q2G+11VZm0UUXNVHi1VdfNRdffLG5+eabrRNVhIPS+UWscUJpLidqVUV6Tu/OVc1O1FlFiKhOeKW+bHVleo6ZECJ67LjjjtaRuvvuu1tRxtVI9RPEFxx8iD2kB9NhlZqSURBlEHlJG6O+JSUNcB1SK5XakjgQRHpApMAFQzohrmzq6Prtzi4VBBTqn5JiikstqAwgyhdQA/WAAw6wwWMUrlUhguSss86ytS8571lUjFLDGMSlTTbZxHz33XfWkbr00kvbxo1RcMULUWq2hyv5RLmlqDFq1Ciz5557WgeqBNRwkWIiYk1lZsLe2OQRUTONpaLQYKHcImp9Q33B/3ZuPdTw04WEEAJHKjVSBwwYYJ13+++/fyCvgziJMImQSsMG0hSj4u5jP6g7hzuVelyIqXTXpSaXaqYmGwI46or+8MMPVjQlmOMzjxI0OqE+Io6doOsjTpgwwaY2H3rooeb888/XuS9SA05UhFTO/2effdZmUUQFrsMVV1zR3psQnl544QWz/vrrR1J4EqIj9ykLAow1ZCkx5kZxQeCxxx6zmRh33nmnnR+LcJGIKmIN7kmYY+aKqE1ORE1RTdSazM2+rqGuaCeqa04lhBBRqJH6+OOP22L51Ac97rjjAnkdmtSQrvXhhx/a9C2E1CgJVtRxxYGEcxZXIq4/JveIqa5Lr0hGEEdpCcTTSZMmWWcntUU5P6MG6ft0KkZIpVlbkJ26qQ/cr18/e/2fffbZElBF6jjppJNsE0TXgJGmU1HC60rlvoAItfbaa4fauFGIQmqfMv+LsvsUbr31VnPMMceYe+65x+y8885h746QiCriTlXGbZrLiZqmmqg1GSdqbUlO1Gg4sIQQAnDfUAcSZyppw0Gl8SJEIlR+//33tjkOAuWaa64ZqeaEOFPZJ0oP0LwHsQ0nIE4gNqX6xzdln/OOep+Ur6CMA0J+FBrJ5OKnn36yQj4ubtL3g8z4IW2Rch6XXXaZOfLIIwN7HSGiDuIJtbIRT2655ZZAytz45UpFkGLcpiwNP9PCh4gijY2NtlTO559/bhcto+o+ZYGVuS91wJ966im76C+igURUkQgnqrexlKuJ6n6XBmoytUyLcaLOqpMTVQgRTf7v//7PutFwpiKkUkg/iIkugd4KK6xg06dx0+AGRMyab775TJRAtGI/caHi0EV8I9WfxgcErLiA0lTKJo4QFFE+glT4n3/+2Z5za6yxhg3koiTcZwecNLdC8N1ggw3seRYk1Hs7+uijzR133KHOw0IYY9N4KelCR+7//e9/5thjjzVRw7lSGas/+uijlnIfUWvMI9INWR+cnyygb7bZZqZbt24mipDtQRYGfQJefvll21BSRAeJqCIhIupcJ2pjSzp/+pyodQ0NRYuocqIKIaIITZ/oVr/99ttbJ86DDz5o09yDgGZTdBinNhbiJM0ycN1FzU3D/uBMYqutrbX1M2lERWDA/v7pT38KrEu6KI7Zs2dbERJhgVq/COG4SqLuIp46dap5//33rTjP/gZ17TmB+Z///Ke55JJL5LoRIgsWE8eMGWP69u1rhcqLLroocmMTLLXUUmbxxRe3Lj8WQRmTKEmjFH8Rduo+cyQWyXFKM0+K4vUDzOtopMjYy/yXLBURLSSiiljj6p62FlGbWqX6p4HSaqKqsZQQItrQ/feVV14x/fv3t7XhnnzySSsgBgHuBNcgg9REUphxAESl6VQ2pH7TgIoyBLhTEek4VtSqJJhlo7ZmVIOFpHf7Rexgw32K44Xgjc8k6o5hXDA0Nfvyyy/NqquuahczgnTK8nrHH3+8XSSR60aI3NBcCmGyV69eLdkZUayNzf2NEjQsFiFcIf66FP+oOu5FMqFUDuOYS92nVFRUS+bA9OnTbT+AadOm2WudBQkRPXQXE7HG1T1tnDNvTdQ0OVE7tzhRi6mJKieqECI31GIipR63HPXOcIIirDgQ7Ui7JR2ZVD5SzanfxuTPCwJe9nb//fe3+ptzzz3XOlZ69OhhXZXZIAQ+88wzNpWYv6GRRdDC7TbbbGMDVDoP4yLEKRdVnDuV+q44lhBWmYwzCX/uueesIEwaG6nZIhg4P6ZMmWI++eQT62QePXq0FeG5djiX/v73v9sgLuoCKu5ThEzOFxpcBV0jmNqwpCs//fTT1nXTloDK4gCNprgHcL7TrdjL0KFD7b7iliWFmAWXt956q9XfOPeRd8P96gVhCrGH0gXZ/16kjyiNg97sjPfee8+KLTjsogrXIin+jEsIWTRw5J4Y5bFUJAMW5mjIiYDPggOp+9zToyygMuaSgcF4y7yzLQFVY2H4RG/pSogCqKyomqcmamNjQwobSzU7UWuLcqKqJqoQIjcIKYMHD7YBJKv5Z5xxhnXA0NSIyRnBENvll19u0/VwQR5xxBH2Zw8//HCr5xo5cqRNyXdQC9KB0Ef67uOPP24nakcddZQV/rLBDYpTjYAVR86jjz5qNt1008DeP+mH1EaldmUcXKkO6sbiAGIjkMAFSRDBe0CwQgjADYnbNsoBRRxAlJ44caI9vgRAXCccV9ybHOc4pbByriDc0HCjHO5ToL7jrrvuatMXuQ9wzNpixowZ9vo76KCD7L/Jhv297rrrrCsbF/CwYcPs/Yr34w1GzzvvPHPooYe2fO8tqcDiDE08ELdo4jZo0CB7vxPpJWrjICCeIKQg6LLQgYjC/T6qMN5wbXNsxo8fb12BHCu57ITfINBz7X388cf2e+rysige9WyccePG2Wwrrmfqgrc3d9BYGD4SUUXi0vnnOlErUieiFudEden80RYFhBDlB+enl9tvv90GQjhgqB1Kh+5//etfLb/H/XjhhReafffd1wab3jRDgkUCqVzg3iMoZLLLv+N12gIX3/Dhw20Axuo6Xx944IEmSJiA4/Ik+MMdENVaqblABOMzY2O/caciCuPQYNKOSwHRj8+GCXQc3lMU6psimCKcIqAiRHP8cFtxnsQxXRX36QcffGC/JojD+R00nH877bSTdd3deuut1sXXHn369LFbW+y9996tvr/yyivt83LdksLp4Dxv6170+++/23sV9yL+hgBUpJsojoPuuRBZEVsReB955BHrtosq3Bep7YjY+9VXX5m33367pcSJV0wWolgYjxH6GKNxhuMKj8N4zP2Deezpp59ut47mYRoLw0ciqog1ru5pKydqpiaqc6mmSUStL0JElRNVCJEvLj2xvW6m/A1NjbLrtOHkOeSQQ+zKOC4dVrXdRJH0c1bN55tvPlvLM9u9kw3/jsCR4ItuxUwMWTEPsjYcroC//e1v1uHA67nOw3Fq4MRxY3/ZCDC8YiAORMRAxAEENCbP/F0cApCgXS24PjivERppSsGjE0M4B+MsPuNMxrFDuYpyuU+BjsO4aHD1nXbaab4fP97XTTfdZM/l7PIApCyef/75NsAm2KQWq7t3IIhxXfPvuOZJZxQiiuMgcI7eeOON9hzfbrvt7L/nOaMMx4T7DOnEjDuvvvqqvZfysziNpyI6MC5TYoOxebXVVrNifRRrBefK/sANish59913Wyeq32gsDIbon11CtIOre9q6sVRj+hpLZWqi1pbkRJWIKoRof7J33HHH2bqOTK5yQdo4E7LDDjus1c+ZJFITkuAQ58w//vEP88cff9i6cS79HLcPqb2IU/mmQLOijpsFN9t//vMfm3aEszJIcAqRDsWEnTRPJusIkryHuEFZAupdseF84vMjGCF1i+PJZ45AyGfiNr6Pek3PUgVTAjEnmrKRsk9wz/vnWFFKIuolHfJ5r6Tr4drhfVGHDeEmaDinqPtIeuE999xjr10/oencnnvuaetE4iCnLu1iiy3W8nvuOTiGEcCoK4nrB2c2QawDxw6LMtyvOnLHinQRxXEQERZx1ruoeNlll0VeROL9cQxx7iKmMp4ytiKmtidQC+HGMBaBKQ2Ba5K5GAvdcSmhw7V/wAEH2AwQSnmQKeQnGguDJdp3VyFKSOdPU03Uzi3p/IXXRJ2ZEVHlRBVCtAdB2oQJE6xrJBdMYvv27WvT7Clq7+Xss89u+ZoC9QhVBHkueHS0Vw+xLXDPvfnmm3YVnQYWTzzxhBU1g4Rgl+CP1Xs6Dz///PP2e5oGxdWRSMCNG8ildmU7MBFWEdwQW52gyIZLge/jJqzy/ghi3Ptzj4gk7v3xea699tqJc+TyPhFacCKvv/769jMvx3nL8d5///1tbd433njDHlu/2XrrrW2ZAIQsnDO77767rS/p7i0nnHBCy9/isiHgPvzww23zIG99YMoyCBGXcRAQaL2Lig888EDgi4p+gDiDQ45xm+ZT3BsYV3AUciziOqaKYGCMJiMI8ZRa2ojwzP3itJBNOSVcpwiYXLNecdMvNBYGi0RUEWuqcjSWasqIqEkKeDqiuoSaqLPrmtP5VRNVCNEWpM6zqk0jC2qBZkOdTZpl4FKk2VNHk9mNN97YOnWYAPvR2AiRi2YcZ511ln3ue++91+ywww4lP28+r0sNOgRGAmsmxnFL8W8LAleciWyIiU54xNXgHJoEMk5Y5e8Ihvk8cWl6N/ezcgmtBFmcW2wIhW7zfo+g5xVMOa8RwjmHkzp/8KbuE3giUpTLrUYNRJrgECwSNAYVmNHoh4UVNgJr3iNuGlw2ueB+wfnLtRv04ouIN1EfB4HrGhGSeqw45hkXEXTjAGMECys4UblfvP/++3ZM4RrGSZfU+7LIDzJCyJ6gORJwj2chO24LuDiud9ttNytqXnXVVYGJvxoLg0Uiqog17sbZ6HWiNqbZiVp8On8XpfMLIbJANDv66KNtQPjSSy/ZdKlczhtquREE4gLNJ83ZNTTyszM84wEr6KRE7bHHHtYxRIAatDsBsZGAmuZMLiWRxhlMQpOW/sR7ZWLOli2sIiB4BUvv94gE/B2fhVdUdRtCHs/tNoJlHhE5gZQ9fsZz8DMe2Qiq2hJLAWdF9ushcPDIe0iyYOqF44QogXOH665cqfve+qd0AMaFesUVV5TVMeQE9fbuRa75mhBxHweBhaHHHnvMnHPOOVYYufbaa23acFwcndwfGD8RhBHNcNWyUUOVcip+Hy8RbZhffP3117YOPdfVmmuuaecfcRu7GYeZo7KRMo/rs5xoLPQXiagi1lR2aiedP2YrU37URK0robGUnKhCiGwQInF14mZBcKIBEZBqh0BI4NirVy87yaUoPt+zAbXNEDZHjRplRTBWwpkAU5fpoosuMieddFIg+0xaP6mSCKk4hu677z4beJUj8MNFw2t98sknNsWfYJvV/7jU6CpVWG1PhMgldrJRgxX3gxNGvUKpE1ER/5yw6h7d104g5ZzMFkzjFmT5DccP1ynnI8eFenHlDJD4fEkZ5Bq87bbbzK677lrS8+Eedi4kILAm8CMlEmcrHdFJZca1Rgrj8OHDrUucOpGAQ490RtIcuZ/xPY00cO3FIe1ZhEMcx0HufRdccIHZfPPNzX777WdeeOEFM2LEiLIunpQKi2s04GIc5ZizEEQtcgQ0BFWu2bgIw6IwGP+pDYwrkkcWqXFWc5+P42fO+cs4gxBMKRDmqKWgsTB8JKKKWOOE0lyNpSpS5EStKaEmaktjKdVEFUJkcf3119tHnGteRo4caQ488ECbbsdEDEgZ8sKkjkAHcZEJHBM0Jsb8HavwONOCggYb7BevyWQVAYdU4nJAkIpYRbo7qe5jxoyx75lgMOqNPoKCoMcJmwgP+VJfX2+efvpp06NHj1jVOwsbrjMaRJC6z9eUKaAhWjmDT8QO0hURmWicwb2gVN59910b9DlcTTdcdjfccIMVi++44w4bNBJI/t///Z8ZO3ZsS+1VhGSaz1GrEkEfcYZ7hLc2nBBJGQcBdyziCuLIhhtuaOukUgc5TnDfQgxiQ5xGWEP0odkNx5ZMEI0PyYCFN9zHiI04N1mUpkRSnLN6WDDh+uvZs6d1syNalorGwvBJ52xeJIbKilwialMK0/mbXU61cqIKIXyEYK89CCo7+htqxLGVGybdTCaZaDKxJNily2i5UgGps0m91IkTJ1oxlWCaFEVqeKXdISmCw51vs2bNsucbQWi5z7e77rrLdh4/8sgjrSPGL4Gjo/vNI4880u6/pxMxTeiESMs4CCygIORwLf797383l19+uTniiCNi6eijVAGiGnVecdYhqFKPHKeiK6sTtxqZaYfFUhb9fvjhByv6UTcbsY+Gh3GeK5FhM2TIEHP11Veba665xgwaNMi3a05jYfhIRBWJEFEbPTcSl87vfpeqxlL1xThRm0XULnKiCiESCGn9OHD23HNPK2rixMl2CwUJ6ZxbbLGFDRIQt6ibyusjbinYE35AMEWqMGUPcGpRQiIM5zPdxmm+Q+oy11k5mrsJITqGsYYaqYxFlLwhvZ+O3Sz2xRHubYyhbNTfRoCjbiquW0RjBNW4pn6npdQMafp8bqS6Uw6Iz4zMoTi7Th2U0eE6mzx5snWpOweoSA7xlfeF8LhN53idqK6xVGX60vkRkF0NuXyRE1UIkXQQLV977TUbQLICT/DYkXPITwjkCOy23XZbO5kmVe25556zgiouDCGKgfGeIJRmN4gHuLCozUh363ILqKTXcm1Rt5B9kYAqRPTAwfbhhx/amoqk9SOmxh3SoynhQ7o0NWcZb9955x3rvkVYRcgq53gvckN8jnDK+ffss8+a8ePHW8GUeRkZQyz+xV1A5TyjfjLXFpkgnIcSUJOJnKgi1jibf2OrxlINrZpOpSmdH+oa602Xis4F10TtUiMnqhAiuZDGP2zYMFsj7pBDDjEPP/ywFVNJry8XBHc0xUBQJZjAOchGPSqcg/l0dBaCYBSnC40lXH1FzuMwnM2UDcDhRtMaUhepqZbW2r9CxAGyI5566ilb65XmM/vvv78tdROnplNtja801mFbZ5117BhLyj9py/yORSZSxGmup3tUeairq7NZErhN+Tw47nwG1OhMmlOY90gJGxbsmVuW2khRRBvdQUQinKi5aqJWVlalzokKdQ31BaXmz86k88uJKoRIA9Slo4baiSeeaAOtK664whx88MFlncy7gI6N7vQIqTSgWn755a2Y6kfjAZHMgBQX85dffmlqamqs0wVRPqy6cYgT1BqmWRiOG+oUCiGiD/eMwYMH2/GQ8Y+xkAaM3mY1cX9/iHVsOPZxoyLmUVLnvffes3U3naBKKrnwBxb1KK+AYIqoyHGnji3HGqcpY0WShFP3nmnSRCmb7bbbzp5jnF8i2aRHZRKJxKXsN82Z05Kq0ZipiZqmxlJeEbWWuqgFZEO0OFFVE1UIkRKoA3frrbea3XbbzXZHdq5URMxygxuDbdq0adZZSGo23+NOJfBIWsAhCmfq1Km2MRmp+7is1ltvvVDPDToo4z697rrr7ONJJ50kZ5cQMWSVVVaxKf04yfv162ebMF5yySWxd6VmC6qIWq5hESIfgiou1Y8++shmgLjfs80333xh73LsRFMWg2kKxSMNlZjDsMBHPfq4p+i3B+cRTdpwn9544412TinSgWY8ItZUeIRS50ZtyNRErYxxR79CIZCqrqwy9Y0N1olaCLNUE1UIkVL69OljXamkIP/lL38xV155pTnooINCEadwaBBwsB+4DakXRoDnmmco1T99Kfuu+zTNohD4t9xyS+vqCROaZOA+xS2tem9CJENkxEXHeMj4t+6661pXKvVTkwj3LjbKoCD44ZZEAGTcpZ6zE1URAhdddFH7t1rMbAZXL+PRlClTWommLO5xvMik4ZiFlR0RhvuUWrzU3qVMhkgPElFFrPG6TUnj56bmxNTKFDlRoaaqxoqo9Y35i6gcL+dE7SonqhAipa5UAkbnSmVijMOOVOmwarfSGIgAD5cDItqnn35qnYeIqUzUkx6gpBkcyd99952teUow/6c//ckKqNXV1aHv19ChQ63bRu5TIZLpSn3xxRfN8OHDzY477mi7i1900UWJTk3mHkZKPxt4RVXuwyxkukVONuYLbDh1kz4Os5CHYMq9n2wINr6n9jbHgPMC0ZSvw6jHHRbMyY499ljz+uuvy32aYjT7EQkSURtbUvnt71J0Q4fOVdVmRi3p/PmLqLUNdS1fy4kqhEgzdBPHTYBARGfV4447zpx11lmh1UsjQFt66aXtNmPGjBaXDItfpMktt9xyNniRQyb+zJw507pOEU75ms984403tu6esD9fzrd77rnHiqa4TqknSCdsIUTyYNw5+uijTd++fa1QxGIiQirNGNMglGWLqi5dHQERMdFliXgdrcwREFXZ+Dpui0v19fXmjz/+sBtzDfc1ginvxYnH1DTlkXIHYY9LYZWxueyyy8w///lPs+eee9rap3Kfppd4XeVCZOFdBSSNv8ErolZUpc6JCnUeYbQjnAsVutTIiSqESDcECNdcc41NaaTpxpprrmmGDRtmBgwYEGrQQGBG0x7EKxwy1MbEBYFrFZcigqqaY8SvSdRPP/1kP0ucTwRjBKkIqFEJwhELSFekkdXVV19tdt9991QGz0KkDRyGo0aNshti6i233GIdqhtttJFJE9zvKKHiLaOCsIrIiKjqREeaKPGIk5UMAgRVxEa+zt4Yt8vlYsVNivhXW1trH70b+87G72hU6IRg3usyyyxjxdO0CqbZPPXUU/Y64NjQBHTTTTcNe5dEyERjliZEkVRVzj2FG+c02cHCkfQ0i2yqM0FXITVRZ9fVtjh6qakqhBDCWCfq2LFjzV133WX+8Y9/2JSta6+91oqqYUIwg9jGRt06AjdEONL9EYAJfEj7T1JTkKQJp5Ro+Pnnn+0jARkC+N/+9rdI1bxFHBgyZIg973GlEUDiuBJCpAuaTVHz8dJLL7U1Uvfdd9/Ep/jnMw47F6oXxFXu8c7JSVYBYiUuVidi8giIlmwsmOXacP065y+vRy1S+Oqrr2x8a8vXNTVZ0da7EQfjLOVr9oWv+fcIt14RF3GUeYRz0bIvYl5o6EhWEvPBCy+80Bx22GGpcGSLjpFqImJNZae5QmljY4MVUnOl+qeBzs6JWkBNVOdElQtVCCFaQ6BCp+L+/fvbFP8NNtjAOhFI8Y+CSMlEnrR+NudqRJz7+OOPbYCEmMoWhZTwNONcSmw4ThFO+VxwFkfhPPJCUE7q/sknn2wbnL3//vtK3Rci5dBdnUWV/fbbzwpKpPgjKFFDXILSXJxYyUaTpbbusU5QdWJnro2/ccIpgqkzCbHA5UxCHHsEV14PMdR97za3L2yaAxQGnw8LB5dcconZa6+97EK1UveFF4moItYwkDAwMMCQyk9Kf1protZUNTedqKvPP51/dn3ziqjqoQohRMcp/qQ20/AJUZUAMuxmPw5cJDQgYiMwmzhxohXt3n77bfv7JZdc0gp3BAFR2eekQuBL52InnOJGwrWF2L3hhhtaQSKKkKJ42mmn2X3mfB84cKACbyFEqxT/J554wjz55JN2QZH0flypNKHSvSL/uJUxoNBxgHH96aeftou5GsODA7H6zjvvtIsGzJeef/55s8kmm4S9WyKCSEQVsQfHKV3pCVy8jaUqPC7VNNVErS0gnX9WJp1fIqoQQuSX4v/YY4+ZM844w1x55ZXmggsusHUio1Q+hgCLtH42FhhxPyKM4VB95513Wrrq4pRhU0BWGsw9SNekVi0bxxtHEMI1Lk4alESlxmkuaBSFePruu+/aR9L3cTILIUQuEE232247W+7j4IMPNquvvrp17P39738Pe9eEKArmSiwQMLfDheqaR0VpbieiRXRndULkib3BNZpMU6k5LT9P26po50wgXFBjqYwTtUu10vmFEKIjGFd22WUXWyfujjvusB3LSfliwk1QGbVxh/1xYimd1WfNmmUmTZpkxb4JEybYphJOVGVbdNFFVRstD6cKKZXZoinHGLcvafDUyovauZDN559/bktT4CpDOH3wwQft5y+EEB1BivgxxxxjBg0aZK644gqz/fbbm6233to6U7kHChEXWBxnAfGLL75oyTLSPEh0hERUkQgnKlIgIuqcuRpq6qiudCJq4TVR5UQVQoj8wVmIA2fvvfe2KY04FkizQ0z9v//7PxNVSCGkkREbIKoiBCKsfvTRR1ZUxYWIsEpnXh7Z0hpQOMGUDbcp2/Tp0617N26iqYO6ueedd54ZOXKk2X///c1nn31mSw0IIUShcO8bOnSobcBInVTGP7IzuMesuOKKYe+eEG3CnOf00083r7zyiq0Dfvzxx0euTrmILhJRRexxDaQIduZknKhpS+VvVRO1ABF1tkvnlxNVCCGKEiVxox5yyCEt3Yt79eplJ+YbbbSRicP+L7/88nYDmll4BcNvv/3W1vREWEVUZSPIcB19o5ymXmhKPu/TdVVGKHWCKe/Rick0VOEYcDziIpo6fvzxR1uC4oYbbjB9+vQx48aNM2uuuWbYuyWESACULbn66qtt4yncfNxbqCOOOEWtbiGiwvjx4+2C96OPPmqOOOIIu6CoplGiUJIx+xWppiIjojbNaWrpZBi34MYPOmdqohbkRK2XE1UIIUoFgY00RhpPkdq4zTbb2GYEiKl8HZcxiRRNgmE2R11dnRUUEVd///13W18VoZEOwl26dGklqvLIz9h4rqjUE6PeGe+DWmcIxThu2ZxoioDKZ+TeBxuCKZ8rQnNcPr+20vYR+O+66y6zww47mJdfftn87W9/C3u3hBAJZKWVVrL3mlNOOcVcfPHFVkylSR3p0pSUESIsXn31VSuevvDCC7YMxSeffCK3tCgaiagi9lRkgpvGOU0tFVHjG+4UT00RNVGdE1U1UYUQonRo5oSISnOC6667zqY1rrLKKlZM7d+/f2RExUIglT9bWHWipBMhESSpDfr9999bkZINEFLZvMIqqfC4O70bNUW9XwPCJUIt8FpukZRHfk72CY+5Nl4fwdSJpjyyzzw/+4GTFKGU90THab6Ou1iaDU5TRIzHH3/clpv44IMPbKMrIYQImnXWWcfce++95ssvvzSXXXaZXbjp3bu3HQs33njjsHdPpATG/WeeecaOhR9++KEtO3Hrrbfaxo9ClIJEVBF7KjNB6ZymOfZmCUkKhPKlJuNErS2qJqpEVCGE8AvqZQ4ZMsSceOKJ5uabb7aNe84880xz6qmn2jqqCIlxhjHWCaS812wQOnMJmWy4PtsSPxFGczFmzJhW3yNGZwux3g3hl0ZZTrx1Am5Syg901CQDVzSOU8pMfPrpp3LbCCFCgUVESogwHg4bNsz07NnT1k1FTOXrNMZrIniYSzz88MPWefrTTz/ZMhOjRo2y5XiE8IPkzyZF4umUqX9KOr+riZrGQbmmsvlyri+kJmp9xokqEVUIIXwHhyPNCnA/3H333bbxxtlnn22/R+BC6EsiiJw4O9kKgYVQ5zjl6/r6evPcc8/ZOrMIz4ztbHF09AYJTl0CxmuvvdZ8/PHHtqzEHXfc0co9LIQQYbH00kvbsiKIpzRj3GuvvcwKK6xgFxhxyhc6VgiRC0oPUeOUc4yFWWryUptX55fwG81CRexxTaRsOr9zoqYwob80J6pqogohRFDggjz44IOtwHXNNdeY0aNH22ZO1OV67733wt69yIBASjq/N70fvKn+ElDngsOGJi6IEXTIRpj47rvvzAUXXCABVQgRORZddFFz1lln2aaFhx9+uC1/w1hIzVR+JkQxTJgwwTaJWnbZZc2//vUvOwZSD3zw4MESUEUgaCYqEpPOj3sl1en8RdREneWcqKqJKoQQgYMIuPPOO5vnn3/eiqdM7rfcckuz0UYb2Tpd1BYVoj2Y6+DOHTBggO16/f7775vbb7/dNsk45phjzEILLRT2LgohRLvQxA8R9aOPPrIuegSv1VZbzey4447mySefbLO0ixAOygOR4bP55pvbEhFkrtA8ig13c9zLJoloIxFVJKaxVHM6fzPpk1CN6ZxxotbJiSqEEJHnz3/+sxkxYoT58ccfzYEHHmiuvvpq25iKVGyaALlFQSGA8+SSSy6xQsN+++1n1lhjDVvvFMFh++23l0NXCBE7ML1stdVW1j341Vdf2QZUOApXWmklc95558mdKubhP//5jznppJOs6xTHKQuKjI8sRG+wwQZh755ICZpxidhTUVHZIqIaF3Sm0IlanamJWluAE3V2nZyoQggRJjQ6oEYqnWPpIku3e5wVa6+9tm0Q9M0334S9iyIkpk2bZuu70YAF1ykNtmiU8f3339tzA6FBCCGSwHLLLWfLkjDmUd/5rbfesotGW2yxhbnxxhvN5MmTw95FERKIpJdffrlZf/31rdBOKZtHHnnElkiiaVS3bt3C3kWRMiSiisQ4URub0t1YqnN1sxO1vqEh738zKyOiyokqhBDhwri16aab2tTsX3/91Tageu2118zqq69uRVUFkelpEvXEE0+Y3Xff3Sy11FJWTNhhhx2sI4taugMHDjQ1Nc3jvRBCJA3qX/fv39889dRT5ocffrD3PBaTaE5FORzS/0nlFslfRLztttvMtttuaxcRn332Wduok/nRvffea0shpTHeF9FAIqpITE1UUh/T3Viq8Jqos+tdOr+cqEIIEaV6cTQJckHkHnvs0SqIfOihh6xjVSQDugi/8sor5sgjj7SfMbVNcWBRN5eapyeccIIt9SCEEGmCBnlHH320efPNN23zINK1Tz/9dLPkkkvaZo2486mFKZLBzJkzzWOPPWYXEfmMr7vuOtO3b9+WRcQDDjhAdb9FJEiEiIrtnxspaU00aVhllVXMkCFD7Gq+l/Hjx1s3R5cuXWwnwEsvvTS0fRb+0alTrsZSJnXUZGqi1hZUE1VOVCGEiHoQSZ1UbxCJS7V79+6mT58+5vrrr7dCq4gX06dPt46q/fff3zpOd911VzuHIYCkNuCFF15o6+YKIYQwdmGJ+P6zzz6zzfVYbNx3333N4osvbvbee29z3333malTp4a9m6JAfvnlF3PLLbeYnXbayc5rTjzxRPtZs4CoRUQRVRIhotKRFAGNVDeKDQ8bNszccMMN5owzzmj5m99//9306tXLrLjiinZl/7LLLrN1V2666aZQ912UTmVGRG1s1VgqfSpq56KcqKqJKoQQccEFkcx76GpMrcz777/fprr99a9/tfMagg41pYom3333nRk+fLhtBLXYYouZc845xzpPH3/8cZuiyNyVxX41iRJCiNyQwr3xxhuba665xtbGRFBdeeWVbb1oBFXSv6+66iq7GCWiB/MTjG0sFPI5UguXtP3NNtvMvPvuu+aLL77QIqKIPM2daGIOk1E2BzdSOpbizqAIMdxzzz3WmcpFSi0pGjaMGzfOXHnlleawww7L+by1tbV28wqxQNpAsakD7t8p9cA/XD0U7+dCndS0HeOKzJoIzaLyfe8za2fZx+qKqlb/Ruep/+iYRvOY6vMQcYVaqTg22CZNmmT+/e9/m1GjRtl5Delu1NHcZpttbN0whDpRfii58Prrr5sXX3zRNg3DSdyjRw/ruCFNcdVVVw17F4UQIraw4LTRRhvZjU7tZKc++eSTtq70KaecYsdJMja23npre+9VKng4TJw40bz88st2LKRMEd9jbjviiCNsuj4ZN0LEiUSIqG0VI/Z2anvjjTdsdz9vMf7evXubSy65xEyZMsUsuuii8zzHxRdfbM4999x5fs6K13zzzVfS/lHXQ/jDH9Ob68K9+9675tv5vmxprvT000+bNPGfn/9rH3/53695v/dJU5ublIx77wMz4+vf5vm9zlP/0TGN1jGl/pIQcYcUONIa2Vgwpr4moipZN/vss491sG611VZ2k6gavGj60ksv2e2dd96xLhuO+8knn2yD+VzzTSGEEKVDVgblb9gwP7F4xRzx2GOPNV9//bXN2HBjoUTV4EVTNxb+97//Neuss46df4wYMcIu8FJeUYi4kkgRFRs43UydC9XV26BmqhcKFrvf5ZrUUriaOhwObsbUUmXlpNibLq4nbubbbbedqa5uTr8WpTF8wiPmu99/Meutv75ZZakVjBl7k6mprrEunDRR8eEC5pZxj5sFF252IOXD0DdutY9bb7GVWXeFNVp+rvPUf3RMo3lMXYaBEEmBxWLS/NmAheJXX33VOkCoBY+oijvHBZEbbrih/V4p5IXz888/2xJRTjhFNF122WWt6+nwww+3HYQJ6oUQQpQXYnUaFLEBtcOdsJctqpJKzljIopc6vhcGJRUpncBYyFyD40t5xb/85S/22J533nnWyEYJGyGSQqRF1NNOO806Rdvj448/NmuuuWbL9z/++KNN7R84cKA59NBDS3r9zp072y0bgvVSRRA/nkM0U1lZaR87VXQyFZmvSedP2/Gdr0tX+1jfWJ/3e6/N1ESdv+t8Of+NzlP/0TGN1jHVZyGSDovE/fr1s5sTVceOHWsDHWrKffjhh/Y6oGEVQaTbEFbd+Jp2qOFG7T2CRO9GHdM11ljD1nWjNJREUyGEiCYIpCwissH333/fIqqeddZZVlMgq8M7DrJhoJKwOlcwxazmHQc/+OADM2vWLOs03XTTTW0Wr0RTkXQiLaJS5+vAAw9s92+of+pggsvqP6tJ2Q2j6HzKZNeL+57fifg3lmqaM2duM40UDnadq5pLVdQ25F/jcXamCVVXNZYSQojUiKrU5GRzjm5S7QiGaEpF4yNqxiOgIqyut956VihEVGVbYYUVEiuuMof43//+Z7s/u406phwb0hNZtCeoxuV76qmnmvXXX98suOCCYe+2EEKIAkEcdWVwYMaMGbbhkRMHqavK2MiYiWN13XXXbRkH2dAPkiquIpYiMnvHQhZcEUxnz55tjwVj4d57722uuOIK6zr1lkwUIulEWkSlwx5bPuBARUDlgh45cuQ8aWmsjJx55pk2WHDOI9JACQxUnyredMqIqHPmNPH/zM+SOai1R3VV8+Vcn6eISrBIEyroUiMRVQgh0ghzIoRStoMOOsj+rKGhwbpyCCQJKqkFTyMkUvaYX9EQyRtMrrLKKmaZZZaxtVajLirSMJQyTiy8f/vtt62CRDZq6uNY4n1RS5b6+WeccYYVTOeff/6wd18IIUQAcH9HL2Dz1s13wiqC6oMPPmjHie+++84ssMACrcZBNkoHMg6yRb3mJzW8KUnDxtjO+6IxN4+4TdFMeD9uLERsHjZsmG3OLcFUpJ1Ii6j5goBKzY0VV1zR1kHFLeBwLlNWSrCXH3zwwdY9gLPg6quvtjcDEW8qM4J5Y1NTixM1fRKqMTUFOlEbmhpNkxWe57pYhRBCiKqqKpuax+aFoIrux05w/Pzzz819991nvvzySxuIIVASiBJAOlHVbdShp0YdIivBZ/ZjoUFZY2OjDQLZpk+fPs8jc0EXILIhmvI4efJkKwQzP8SJxGL6WmutZfr372+DRQRiiaVCCCFoJL3JJpvYzQviKuOedwFuzJgxdmGORTrGp0UWWWSecZDvMYi1NQ6yMf4WAuNy9vjn/ZrM2+xxkI3fMe6yX04sJZuXLGAnCEssFSLBIiqOUlZM2HAPeHGi2sILL2ydFIMHD7ZuVep0nHPOObaGlYg3FS3p/E0ZH2o6naidq5od1nWZFP1866GCnKhCCCHyca3iSGHr27fvPPOtqVOnzhOouVqiBHK5BE83TyNYI4CkVAAbQicbASLfk17IRnBKAEsNNm+gmx2IMs8jOEQU3XzzzVsJuwSxSS1JIIQQIlgYc3ItNALj1G+//TbPOMjjK6+8Yhf4ssdCxjRH165d7fN7x0G2uro6K7C6sZCMEUoQsHjpyCXMLrHEEnbsIwWfzAqvsNutW7dUxsxClEoiRFRWTDqqnQrcPGimIJLpRG1q5UTtlFonal2eTtRZmVR+kBNVCCFEKRCIUR6J7c9//nNe/4Yxm+DRG1Aikrog0W3ZwqpXNMU1KkFUCCFEFGCMQrhkowxMPjDuIYh6RVXvGMjvGWO9oirjHuOfE0sZF7PLGQohgiERIqpIN24FzTpRnYiawlW1audErc/TiZpxrCKgpvF4CSGECBfGHoJANtL9hRBCiLSBIEq5GzYhRPTRcoWIPZUVzQ6UpjlzDP+l1Ynaks7f2JDX36uplBBCCCGEEEIIIUR+SEQVsaci46JsbizV/LM0GitdOn9jU6PdCnGiCiGEEEIIIYQQQoi2kYgqYk+nTGOpObaxVHrT+Z0TFWrzqIvqGkt1rpaIKoQQQgghhBBCCNEeElFFYhpLNTtR05vOX+MRQ/Opi+oaS3WpVjq/EEIIIYQQQgghRHtIRBWxpyLjRE17Y6mqTG1YqG+szzudv4ucqEIIIYQQQgghhBDtIhFVJMaJ2tTURFJ/akVU3rOrb5pfOn+mJqqcqEIIIYQQQgghhBDtIhFVxB4nmDbNmeNpLJU+ERVqMnVR80nnn52piap0fiGEEEIIIYQQQoj2kYgqYk9lJo3dpvOb9NZE9dZFzceJOrvFiap0fiGEEEIIIYQQQoj2kIgqYk9FxnVKY6nmlP70OlE7OydqXun8zokqEVUIIYQQQgghhBCiPSSiisQ0lprTyomaTqoqq/JuLKV0fiGEEEIIIYQQQoj8kIgqYk9FprEUTtTU10StbHai1jc2FNBYSk5UIYQQQgghhBBCiPaQiCoSk87fqiZqSkVU50RtyENEdTVR5UQVQgghhBBCCCGEaB+JqCIxjaUaEVHnpLuxVHVlZd5OVJfO31kiqhBCiAB55ZVXTL9+/cwyyyxjFzkfe+yxVr//448/zFFHHWWWW24507VrV/PnP//Z3HDDDa3+Zvbs2Wbw4MGme/fuZoEFFjADBgwwv/76a6u/eeKJJ8zqq69u1lhjDfPkk0+W5b0JIYQQ+aCxUIhkIBFVxB7nOp3TNGeuiJpODbUgJ6oaSwkhhCgHM2bMMOutt54ZPnx4zt+fcMIJ5plnnjF33323+fjjj81xxx1nA0kCQcfxxx9vRo0aZR566CHz8ssvm59++snsuuuuLb+vra21geWIESPMddddZ4488khTV9eccSGEEEKEjcZCIZJBs+IiRIyp7FTpSed3pFNFrW5pLJV/TVSl8wshhAiSPn362K0tXn/9dXPAAQeYrbbayn5/2GGHmRtvvNG8/fbbZqeddjLTpk0zt956q7n33nvNNttsY/9m5MiRZq211jJvvvmm2WSTTWzgWFlZadZff337+6qqKvuzmhotFAohhAgfjYVCJAM5UUXsqajo1JLO7zpLpb0mamHp/BpUhRBChMdmm21mnTY//vijzSh58cUXzWeffWZ69eplf//ee++Z+vp607Nnz5Z/s+aaa5oVVljBvPHGG/b7hRZayAwaNMgsvfTSNlUS982CCy4Y2nsSQgghCkFjoRDxQE5UEXsqOjWvBTQ1qbFUdRGNpTpXSUQVQggRHtdee6113FAHDtdMRUWFufnmm80WW2xhf//LL79YF80iiyzS6t8tueSS9neOIUOG2PRH/r2CRiGEEHFCY6EQ8UAiqkiOiOppLFXRKe1O1Ma8nahdaroEvl9CCCFEe4EjqYg4cFZccUXbfIOabrhovI6bfFh44YUD208hhBAiKDQWChEPJKKK2FNZMa+I2intNVEb6guoiSonqhBCiHCYNWuWOeOMM8yjjz5q+vbta3+27rrrmnHjxpnLL7/cBo5LLbWUbYwxderUVg4cOhLzOyGEECLOaCwUIj6oJqpIjBO10abzm1Sn8xdSE7XW1URVOr8QQoiQoL4bG2mHXmiMQZke2HDDDU11dbV5/vnnW37/6aefmu+++85suummZd9nIYQQwk80FgoRH+REFbHHCaa4UFucqCkVUWsKqonq0vk7B75fQggh0ssff/xhvvjii5bvv/76a+uu6datm22IseWWW5qTTz7ZdO3a1aYwvvzyy+bOO+80V155ZUta4sEHH2xOOOEE+29onHH00UfboJFuxEIIIUTU0VgoRDKQiCpiT2VF5dx0ftdYyqSTQpyoaiwlhBCiHLz77rtm6623bvmeABAOOOAAc/vtt5v777/fnH766WafffYxkydPtsHjhRdeaI444oiWfzNs2DDr0BkwYICpra01vXv3NiNGjAjl/QghhBCForFQiGQgEVXEHtdEyqbzp9yJWl2AE7W2wdVElRNVCCFEcGy11VYt43MuqOU2cuTIdp+jS5cuZvjw4XYTQggh4obGQiGSgWqiisTURMWJ2tQyMKVTRC3IiVqndH4hhBBCCCGEEEKIfJCIKmJPi+l0TnNd1OafpVNELcaJqnR+IYQQQgghhBBCiPaRiCrij2ssZeuhupqo6RRRC3Gi1rqaqNUSUYUQQgghhBBCCCHaQyKqiD1OMMWFOteJalLtRO1IROU4za7PpPOrJqoQQgghhBBCCCFEu0hEFYlpLEVNVFcSNa3p/Pk6UV0qP0hEFUIIIYQQQgghhGgfiagi9jjBFAF1TsrT+fOtiepS+UGNpYQQQgghhBBCCCHaRyKqSE46P/+psVReTlSXyl/RqcJUVVSWZd+EEEIIIYQQQggh4opEVJEgJ6qVUVul+KeN6qr8nKizPU2l0io4CyGEEEIIIYQQQuSLRFQRe5xg2rqxVDqFwXxros6ua3aidlU9VCGEEEIIIYQQQogOkYgq4k8rETXzI9VEbffvahtqW5yoQgghhBBCCCGEEKJ9JKKKZNVEzaTzO2E1beRbE9U1luosJ6oQQgghhBBCCCFEh0hEFbHH6aWt0vmNSXU6f0NjY16NpbpIRBVCCCGEEEIIIYToEImoIkFO1GY3qv1Zyp2odY31eTeWEkIIIYQQQgghhBDtIxFVxJ6KiubTuKmpqVlJTbGIWlWRZ03UFieqRFQhhBBCCCGEEEKIjpCIKhJZEzXtjaU6qomqdH4hhBBCCCGEEEKI/JGIKhJUEzXjRk1vXylPTdR8G0vJiSqEEEIIIYQQQgjRERJRReyZ6zqVE7WmKl8nakZErZITVQghhBBCCCGEEKIjJKKK+JOxnc6ZM8e6UZt/lE4RNV8naks6f41EVCGEEEIIIYQQQoiOkIgqYk9FRjBtmuNxonZKe03UxrzS+dVYSgghhBBCCCGEEKJjJKKK2NOplRM13en8zonaUTp/rRpLCSGEEEIIIYQQQuSNRFQRe5xgan2oLfn8JtVO1HzT+dVYSgghhBBCCCGEEKJjJKKKZDlRMz+r6FSRbidqQ32ejaUkogohhBBCCCGEEEJ0RDqVJpHcmqgunT/1NVE7SOdvcDVRlc4vhBBCCCGEEEII0RESUUXsmSuYIqC6mqgm1U7UjtL5XWMppfMLIYQQQgghhBBCdIxEVJEAcjSWkhO13b+ryzhR3d8LIYQQQgghhBBCiLaRiCpij9NLW4moKfWiVldW2seGpsa5TbZyUJepmSonqhBCCCGEEEIIIUTHSEQVsccJpnOT+dPsRK1u+RohtSMRtaZq7t8LIYQQQgghhBBCiNxIRBWxp6JT82ncNKdJTlRPen57Kf21LSKqnKhCCCGEEEIIIYQQHSERVSQrnd81luqU7sZSHTWXcjVRO8uJKoQQQgghhBBCCNEhElFF7HGp+zadX42l8nKizk3nlxNVCCGEEEIIIYQQoiMkoorY05K6P2eOaWppppROEbWioqKlvEF9RijNRW19sxO1Wk5UIYQQQgghhBBCiA6RiCriT8Z12qomakqdqF43antOVPc7pfMLIYQQQgghhBBCdIxEVBF7Klw6/xxS+tPdWMpbFzWfmqhK5xdCCCGEEEIIIYToGImoIvY4wdQKqC1OVJNa8nGi1rbURJUTVQghhBBCCCGEEKIjJKKK5DSWmjPHaagtdUHTSFVlZcdO1ExNVKXzCyGEEEIIIYQQQnRMepUmkTgRlaZSLen8KbaiznWiNrb5N3XOiVqtdH4hhBBCCCGEEEKIjpCIKmKPk0ubnaiuJmp6qc64S9tyonKMajM1UeVEFUIIIYQQQgghhOgYiagi9sxN3ZcTNZ+aqN6fV1dKRBVCCCGEEEIIIYToCImoIv60qokqEbUqI6K25UStz6Tyg9L5hRBCCCGEEEIIITpGIqpITjq/FVKzf5peJ2pd41yx1EutR0RVOr8QQgghhBBCCCFEx0hEFQlqLNWkdH6cqBXtO1HrMvVQKysq7SaEEEIIIYQQQggh2kciqkhMTVQ1lmqmurKy3ZqozolaIxeqEEIIIYQQQgghRF5IRBWxx5lO0U/lRJ1bE7W+Aydq5yrVQxVCCCGEEEIIIYTIB4moIvZ0yvhOrYCaqYmaZhHV1URtO52/2YlaXdX8d0IIIYQQQgghhBCifSSiitjjBNM53pqoKU7on+tEbWxXRK2RE1UIIYQQQgghhBAiLySiiuQ4UefMMU1NTc0/S6+GmocT1aXzqyaqEEIIIYQQQgghRD5IRBWxp1OFS+f31ERNsRO1OiOOtl0TVU5UIYQQQgghhBBCiEKQiCoS5USluZT9WYqtqB05UWvrnYgqJ6oQQgghhBBCCCFEPkhEFQmqiYoPtVlFreiU3lPb1UR1jtNslM4vhBBCCCGEEEIIURjpVZpE4pyoTdaJ6qyoJrVUV1Z2UBM140StVjq/EEIIIYQQQgghRD5IRBWxx2XuWx9qRkRNc01U50RtsyZqY0ZErZQTVQghhBBCCCGEECIfJKKK2NOSum/T+ZtRTdR2nKj1zen8qokqhBBCCCGEEEIIkR8SUUVyaqLKiZqXE7XWpfNXKZ1fCCGEEEIIIYQQIh8koorE0NSEgJoRUdOroXqcqI3tN5aqlhNVCCGEEEIIIYQQIh8koopkOlFTrKJWd1QTtcWJKhFVCCGEEEIIIYQQIh8koorY41L3EVCVzj83nb+hSen8QgghhBBCCCGEEH4gEVXEnooK50R1yfzpdqLWVFa360StdyJq5u+EEEIIIYQQQgghRPtIRBWxR07U1lRVVrYSS9uqiVqjmqhCCCGEEEIIIYQQeSERVSSnJuqcJlsXtflnJrV0VBNV6fxCCCGEEEIIIYQQhSERVSTIidrsRk27itpSE7XNxlLNTtTOaiwlhBBCCCGEEEIIkRcSUUVynKhmjmlSOn+HTtS6FieqRFQhhBBCCCGEEEKIfJCIKhKUzj+3JmqFnKimobEx5+9r65XOL4QQQgghhBBCCFEIElFFYkRUXKhza6KmV0TtyIla39gsoiqdXwghhBBCCCGEECI/JKKK5NRERUB16fwpFlE7qolam6mJWi0RVQghhBBCCCGEECIvJKKK2OP00uZ0/szPVBO1w5qonZXOL4QQQgghhBBCCJEXElFF7KnoVDFXRFU6v6murG6Vtp9NXX2zE1WNpYQQQgghhBBCCCHyQyKqiD1zXadzG0ulV0JFRK1s14lam3GiqrGUEEIIIYQQQgghRH5IRBWxx5lO1Vgqv5qoLen81XKiCiGEEEIIIYQQQuSDRFQRfzKCaXNNVImoc2uiNub8vUvzVzq/EEIIIYQQQgghRH5IRBWJSee3PtRMY6k0J/Q7J2qb6fyZmqiudqoQQgghhBBCCCGEaB+JqCL2VLQ4UZuFVJATNZ90ftVEFUIIIYQQQgghhEiNiPrNN9+Ygw8+2Ky00kqma9euZpVVVjFDhgwxdXV1rf4GYS17e/PNN0Pdd1E6TjBtmtOkxlJ5OFGdiKp0fiGEEEIIIYQQQoj8aFZbYs4nn3ximpqazI033mhWXXVVM2HCBHPooYeaGTNmmMsvv7zV344ZM8asvfbaLd937949hD0WQaTzY0WVExURtdI+Njblrola29C8uFBTJSeqEEIIIYQQQgghRGpE1O23395ujpVXXtl8+umn5vrrr59HREU0XWqppULYSxEUTjC18mmmJmqqRdSK9kXUlnR+OVGFEEIIIYQQQggh0iOi5mLatGmmW7du8/x8p512MrNnzzarr766OeWUU+z3bVFbW2s373PC5MmTTX19sxBVKPy7mTNnmkmTJpnqaolYfjBt6jTTVNdgGjrVm5kzZtivZ/4xwx7jNPL7tN/tMag3dfMcA4TV+tnN5/SM3/8wkxpzV/TQeeo/OqbRPKbTp0+3j64UiBBCCCGEEEIIkYtOcxIYOX7xxRdmww03tC5U0vrht99+M3feeaf5+9//bioqKsy//vUvc+mll5rHHnusTSF16NCh5txzzy3z3gshhCg333//vVluueXC3g0hhBBCCCGEEBEl0iLqaaedZi655JJ2/+bjjz82a665Zsv3P/74o9lyyy3NVlttZW655ZZ2/+3+++9vvv76azN27Ni8nKjUXcWFSkmAYtPFf//9d7P88svbgH2hhRYq6jlEa3RM/UfH1H90TKN5TBkCcaMus8wydoFNCCGEEEIIIYSIXTr/iSeeaA488MB2/4b6p46ffvrJbL311mazzTYzN910U4fPv/HGG5vRo0e3+fvOnTvbzcsiiyxi/ICAX0KKv+iY+o+Oqf/omEbvmC688MK+7o8QQgghhBBCiOQRaRF18cUXt1s+4EBFQCWNf+TIkXk5isaNG2eWXnppH/ZUCCGEEEIIIYQQQgiRVCItouYLAirp+yuuuKKtgzpx4sSW3y211FL28Y477jA1NTVmgw02sN8/8sgj5rbbbusw5V8IIYQQQgghhBBCCJFuEiGikpJPMym27MYg3pKv559/vvn2229NVVWVraP6wAMPmN12262s+0p5gCFDhsxTJkAUj46p/+iY+o+Oqf/omAohhBBCCCGEKBeRbiwlhBBCCCGEEEIIIYQQYaNWxEIIIYQQQgghhBBCCNEOElGFEEIIIYQQQgghhBCiHSSiCiGEEEIIIYQQQgghRDtIRBVCCCGEEEIIIYQQQoh2kIhaJv70pz+ZTp06zbMNHjw47F2LLY2Njebss882K620kunatatZZZVVzPnnn2/UK600pk+fbo477jiz4oor2uO62WabmXfeeSfs3YoNr7zyiunXr59ZZpll7DX+2GOPtfo95+c555xjll56aXt8e/bsaT7//PPQ9jcJx/SRRx4xvXr1Mt27d7e/HzduXGj7KoQQQgghhBAimUhELROIUD///HPLNnr0aPvzgQMHhr1rseWSSy4x119/vbnuuuvMxx9/bL+/9NJLzbXXXhv2rsWaQw45xJ6fd911l/noo4+sOIXQ9+OPP4a9a7FgxowZZr311jPDhw/P+XvO0WuuucbccMMN5q233jLzzz+/6d27t5k9e3bZ9zUpx5Tf9+jRw94DhBBCCCGEEEKIIOg0R7a9UMDp9+STT1oHGs4pUTg77rijWXLJJc2tt97a8rMBAwZYd9/dd98d6r7FlVmzZpkFF1zQPP7446Zv374tP99www1Nnz59zAUXXBDq/sUNru1HH33U7LzzzvZ7bre4KU888URz0kkn2Z9NmzbNnse333672XPPPUPe4/gdUy/ffPONdaZ/8MEHZv311w9l/4QQQgghhBBCJBM5UUOgrq7OinwHHXSQBNQSIM38+eefN5999pn9/sMPPzSvvvqqFftEcTQ0NNgyCV26dGn1c4Rpjq0oja+//tr88ssv1tnrWHjhhc3GG29s3njjjVD3TQghhBBCCCGEEG1T1c7vREBQz2/q1KnmwAMPDHtXYs1pp51mfv/9d7PmmmuayspKK/5deOGFZp999gl712ILLtRNN93U1pZda621rEPyvvvuswLfqquuGvbuxR4EVOC4euF79zshhBBCCCGEEEJEDzlRQ4D0c9ySpPWK4nnwwQfNPffcY+69917z/vvvmzvuuMNcfvnl9lEUD7VQSTtfdtllTefOnW39zr322stUVOh2IYQQQgghhBBCiHQiJ2qZ+fbbb82YMWNsN2lRGieffLJ1o7o6kuuss449vhdffLE54IADwt692LLKKquYl19+2TbrwelLF/k99tjDrLzyymHvWuxZaqml7OOvv/5qj6uD71XDUwghhBBCCCGEiC6ylpWZkSNHmiWWWKJV0x5RHDNnzpzHHUlaf1NTU2j7lCToGo/QN2XKFPPss8+a/v37h71LsYemRwip1PJ1IFS/9dZbtoyCEEIIIYQQQgghoomcqGUEcQ8RFZdkVZUOfan069fP1kBdYYUVzNprr207cl955ZW2YZcoHgRT0vnXWGMN88UXX1jHL3VnBw0aFPauxYI//vjDHjdvM6lx48aZbt262XP1uOOOMxdccIFZbbXVrKh69tln29IeubrNi/yO6eTJk813331nfvrpJ/v7Tz/91D4iWDv3rxBCCCGEEEIIUQqd5qCWiLLw3HPPmd69e9sAf/XVVw97d2LP9OnTrQD16KOPmv/9739WiKJ25znnnGNqamrC3r1Y15o9/fTTzQ8//GBFqgEDBlixmi7yomNeeukls/XWW8/zcxZPbr/9ditQDxkyxNx00022wVyPHj3MiBEjdE8o4Ziy5RL5Oc5Dhw4t014KIYQQQgghhEgyElGFEEIIIYQQQgghhBCiHVQTVQghhBBCCCGEEEIIIdpBIqoQQgghhBBCCCGEEEK0g0RUIYQQQgghhBBCCCGEaAeJqEIIIYQQQgghhBBCCNEOElGFEEIIIYQQQgghhBCiHSSiCiGEEEIIIYQQQgghRDtIRBVCCCGEEEIIIYQQQoh2kIgqhBBCCCGEEEIIIYQQ7SARVQhRFurq6syqq65qXn/99dD24bTTTjNHH310aK8vhBBCCCGEEEKIeCIRVYgiOPDAA02nTp3m2b744ouwdy2y3HDDDWallVYym222Waufv/jii2bHHXc0iy++uOnSpYtZZZVVzB577GFeeeWVlr956aWX7PGdOnXqPM/7pz/9yVx11VV57cNJJ51k7rjjDvPVV1/58I6EEEIIIYQQQgiRFiSiClEk22+/vfn5559bbYiEuRyYaWfOnDnmuuuuMwcffHCrn48YMcJsu+22pnv37uaBBx4wn376qXn00Uet0Hr88cf7vh+LLbaY6d27t7n++ut9f24hhBBCCCGEEEIkF4moQhRJ586dzVJLLdVqq6ysNFtttZU56qijzHHHHdci2sGECRNMnz59zAILLGCWXHJJs99++5nffvut5flmzJhh9t9/f/v7pZde2lxxxRX2uXgeB27Mxx57rNV+LLLIIub2229v+f777783u+++u/15t27dTP/+/c0333zTykW78847m8svv9y+DgLm4MGDTX19fcvf1NbWmlNPPdUsv/zy9n2Shn/rrbdaMZSv+bdexo0b164T97333jNffvml6du3b8vPvvvuO/ve2HCHbrPNNmbFFVc06667rjn22GPNu+++W/BnwnHI5RAeOnRoy9/069fP3H///QU/txBCCCGEEEIIIdKLRFQhAgBRsKamxrz22ms2jZ00dETCDTbYwIqDzzzzjPn111+t2Ok4+eSTzcsvv2wef/xx89xzz9kU9vfff7+g10UIRbRdcMEFzdixY+3rI8rimvU6YkmhR9TkkX1FfPQKsYi59913n7nmmmvMxx9/bG688Ub7PAiSBx10kBk5cmSr1+X7LbbYwgqsuWBfVl99dbtfjn/96192f0855ZSc/4bXKhTKAHidwbyHqqoq8/e//73lbzbaaCPzww8/tBKWhRBCCCGEEEIIIdqjqt3fK95rAQAABX5JREFUCiHa5Mknn7TCogOX6UMPPWS/Xm211cyll17a8rsLLrjACqgXXXRRy89uu+026/T87LPPzDLLLGOdnnfffbdNbwfEzeWWW66gfSIlvqmpydxyyy0tIiQCJ65URNlevXrZny266KI2vR7n7Jprrmkdos8//7w59NBD7f48+OCDZvTo0aZnz57271deeeVWTtZzzjnHvP3221aQRAi9995753Gnevn222/te/TC6yy00ELWwesVVg844ICW79944w2zzjrrtHyf63jMnDmz5euuXbvaDRCJcdhyzLfbbruWv3H7wT5RT1UIIYQQQgghhBCiIySiClEkW2+9davamvPPP3/L1xtuuGGrv/3www+t69MrujoQ+2bNmmWdohtvvHHLz0nFX2ONNQraJ16HlHqv4xNmz55tX8ex9tprWwHVQVr/Rx991JKaz++23HLLnK+BCInoigiMiDpq1Cib/j9w4MA294v3R9OojtymuGh5/R9//NGWMmhsbJzH0Zr93vi7bKZNm2abVbGfOHy9OJHVK74KIYQQQgghhBBCtIdEVCGKBNG0rfR1r6AKf/zxh63Feckll8zztwiYbdUSzSU6UpfUi7eWKa+DgHvPPffM828XX3zxlq+rq6vneV4crF6RsT0OOeQQW9N12LBh1ulKGv18883X5t9TG9aJtA7cuoidv/zyS4sbFZGZY0oKfi5o3IWr1kv23yK8sj+4XG+66aZ5nmPy5MnzHA8hhBBCCCGEEEKI9lBNVCHKwF//+lfzn//8x6aPIxJ6NwTXVVZZxQqbb731Vsu/mTJlik1594LwR61Px+eff97KUcnr8LMlllhintdZeOGF89pX0ucRVKnP2hY77LCD3W+cuNR3pU5qe1DK4JNPPmklAO+22272PecSlkvh+OOPt4ItDbhyuV9p8MXr4sYVQgghhBBCCCGEyAeJqEKUAWpz4oDca6+9zDvvvGNT65999lkzaNAg65zEgXnwwQfb1PMXXnjBCn3UHq2oaH2J0pyKWqYffPCBbVB1xBFHtHKV7rPPPtb12b9/f5v6/vXXX9taqMccc4xtppQPCL3UJUUYRYh0z0GdVAfp/uzf6aefbh2lm266aYelD3DJIiQ7VlhhBXPFFVeYq6++2r4e5Q5o9kQzLRpaudcpBFyxI0aMsM28cNficmXjtR0cl8033zwvx60QQgghhBBCCCEESEQVogxQR/S1116zginNnXB7HnfccTY13Qmll112mRX3SPunoVOPHj3mqa2K6EgzKv5u7733NieddFKrNHq+fuWVV6xAueuuu5q11lrLirPURCW9PV9wmOIU/cc//mEbT9FwasaMGa3+hueljitCcEd0797d7LLLLvOUGTj66KPNc889ZyZOnGhfD0EWlyvCLQ5Xb1OpfMA9yzHeaaedbJkEt3mbXt1///32/QghhBBCCCGEEELkS6c52QUWhRCRgaZJ66+/vrnqqqtM1MDRue2225rvv//eLLnkkh3+/fjx4812221nXbi5GmyVg3//+9/mxBNPtPvSVt1VIYQQQgghhBBCiGzkRBVCFERtba0tDTB06FAzcODAvARUWHfddW39U1ymYYGblpR/CahCCCGEEEIIIYQoBCkJQoiCuO+++2wqPw7ZO++8s6B/Sx3VMKFkgBBCCCGEEEIIIUShKJ1fCCGEEEIIIYQQQggh2kHp/EIIIYQQQgghhBBCCNEOElGFEEIIIYQQQgghhBCiHSSiCiGEEEIIIYQQQgghRDtIRBVCCCGEEEIIIYQQQoh2kIgqhBBCCCGEEEIIIYQQ7SARVQghhBBCCCGEEEIIIdpBIqoQQgghhBBCCCGEEEK0g0RUIYQQQgghhBBCCCGEMG3z/4N5AJ8x/MHKAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -4260,7 +2565,13 @@ ")\n", "\n", "# Plot the evolution of the antenna S11 and realized gain during the course of the optimization\n", - "plot_antenna_evolution(s11_sq_dB_evolution_multi, s11_f_ghz_multi, realized_gain_evolution_multi, opt_freqs_multi_patch, theta_eval_evolution_multi)" + "plot_antenna_evolution(\n", + " s11_sq_dB_evolution_multi,\n", + " s11_f_ghz_multi,\n", + " realized_gain_evolution_multi,\n", + " opt_freqs_multi_patch,\n", + " theta_eval_evolution_multi,\n", + ")" ] }, { @@ -4278,11 +2589,11 @@ { "data": { "text/html": [ - "
19:31:48 EDT Component modeler batch validation has been successful.            \n",
+       "
19:39:58 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m19:31:48 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + "\u001b[2;36m19:39:58 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -4291,11 +2602,11 @@ { "data": { "text/html": [ - "
19:33:55 EDT Component modeler batch validation has been successful.            \n",
+       "
19:42:19 EDT Component modeler batch validation has been successful.            \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m19:33:55 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + "\u001b[2;36m19:42:19 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" ] }, "metadata": {}, @@ -4303,7 +2614,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4313,7 +2624,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4323,7 +2634,7 @@ } ], "source": [ - "# compute S11 and realized gain for the inital multi patch geometry\n", + "# compute S11 and realized gain for the initial multi patch geometry\n", "smatrix_data_init, theta, realized_gain_init = evaluate_multi_antenna(\n", " init_params, freqs_s_params, opt_freqs_multi_patch\n", ")\n", From 5057f7af919e9c42daee0a09c6d5da948facb496 Mon Sep 17 00:00:00 2001 From: Gregory Roberts Date: Fri, 10 Oct 2025 11:54:10 -0400 Subject: [PATCH 9/9] add first notebook split --- ...tograd1RectangularPatchAntennaSplit1.ipynb | 1917 +++++++++++++++++ img/pec_optimization_workflow.png | Bin 0 -> 164142 bytes 2 files changed, 1917 insertions(+) create mode 100644 RFAutograd1RectangularPatchAntennaSplit1.ipynb create mode 100644 img/pec_optimization_workflow.png diff --git a/RFAutograd1RectangularPatchAntennaSplit1.ipynb b/RFAutograd1RectangularPatchAntennaSplit1.ipynb new file mode 100644 index 00000000..38805e51 --- /dev/null +++ b/RFAutograd1RectangularPatchAntennaSplit1.ipynb @@ -0,0 +1,1917 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "# Adjoint Optimization of Rectangular Patch Antennas\n", + "\n", + "This notebook demonstrates the use of inverse design for the optimization of antennas. A simple rectangular patch antenna, as explored in our [Antenna Characteristics](https://www.flexcompute.com/tidy3d/examples/notebooks/AntennaCharacteristics/) notebook, is primarily defined by two parameters: its width and height. These are tuned to make the antenna resonate at a desired frequency and match the impedance of the feed line. Usually, these parameters can be found via intuitive design techniques and numerical formulas. However, in this example, we show a different strategy to tuning the antenna parameters. This notebook demonstrates gradient-based RF optimization in Tidy3D. This technique, enabled by the adjoint method and automatic differentiation (autograd), allows for the efficient and simultaneous optimization of all geometric parameters, also known as inverse design.\n", + "\n", + "We illustrate this process through the straightforward optimization to find the ideal width and height of a rectangular patch antenna for a single target frequency. In future notebooks, we will build on this example and show more intricate patch antenna designs that take advantage of inverse design to simultaneously tune large numbers of geometric parameters to meet user-defined metrics with high performance. The optimization geometry is shown below. The antenna consists of a metallic patch on a substrate with a ground plane, is excited by an offset feed line, and radiates into free space. \n", + "\n", + "
\n", + " \n", + " \n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "# Tidy3d import and set logging level\n", + "import tidy3d as td\n", + "\n", + "# External modules needed for this notebook\n", + "import numpy as np\n", + "import autograd.numpy as anp\n", + "from autograd import value_and_grad\n", + "import optax\n", + "import os\n", + "import pickle\n", + "\n", + "# Tidy3d plugin import\n", + "import tidy3d.plugins.smatrix as smatrix\n", + "from tidy3d.plugins.microwave import rf_material_library\n", + "from tidy3d.web import run\n", + "\n", + "# Libraries and configuration for printing and display\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches as patches\n", + "from rich.console import Console\n", + "from rich.text import Text\n", + "\n", + "# Setup console and printing parameters for rich printing during optimization loops\n", + "console = Console()\n", + "print_decimal_places = 2 # how many decimal places to use in printing\n", + "print_iteration_frequency = 5 # how often to print optimization progress" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Configuration and Parameters\n", + "\n", + "In this first section, we set up a variety of parameters for the optimization, including the frequency bands (specified in Hz) and resonance target as well as useful geometric parameters. Similar to other RF examples, we introduce a scaling factor to convert the default unit in Tidy3D of micrometers to millimeters (mm), which is more commonly used in antenna simulations. Thus, the default unit when looking at constants in this notebook is millimeters." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# length scales and geometric parameters for optimization\n", + "mm = 1e3 # mm scaling\n", + "\n", + "# feedline parameters\n", + "feed_x = 2.46 * mm # width of feed\n", + "feed_y = 20 * mm # length of feed\n", + "feed_offset = 2.09 * mm # feed offset from center of patch\n", + "\n", + "# substrate geometric parameters\n", + "sub_width = 23.34 * mm\n", + "sub_height_extension = 25 * mm\n", + "\n", + "sub_x = [-0.5 * sub_width, 0.5 * sub_width]\n", + "sub_y = [-feed_y, sub_height_extension]\n", + "sub_z = 0.68 * mm\n", + "\n", + "# center and size for placing directivity and far field monitors to capture radiation from the\n", + "# antenna patch\n", + "directivity_center_x = np.mean(sub_x)\n", + "directivity_center_y = np.mean(sub_y)\n", + "directivity_size_x = 5 * mm + sub_x[1] - sub_x[0]\n", + "directivity_size_y = 5 * mm + sub_y[1] - sub_y[0]\n", + "\n", + "# frequency range (Hz) for simluating\n", + "freq_start = 7e9\n", + "freq_stop = 11e9\n", + "# simulation frequencies to cover enough bandwidth for evaluating and optimizing antennas\n", + "opt_sim_freqs = [8e9, 10e9]\n", + "\n", + "freq0 = 0.5 * (freq_start + freq_stop) # central frequency\n", + "wavelength0 = td.C_0 / freq0 # wavelength of centeral frequency in vacuum\n", + "\n", + "# frequencies for computing S-parameters of antennas\n", + "freqs_s_params = freqs\n", + "\n", + "# frequencies for optimizing different\n", + "opt_freqs = [8.25e9] # single patch target frequency\n", + "\n", + "# set ranges of theta and phi to record directivity for\n", + "theta_directivity = np.linspace(-np.pi, np.pi, 201)\n", + "phi_directivity = np.linspace(0, np.pi, 101)\n", + "\n", + "# set the optimization theta, phi grid for enhancing directivity around theta=0\n", + "num_theta_opt_points = 12\n", + "theta_opt = theta_directivity[\n", + " (len(theta_directivity) // 2) - (num_theta_opt_points // 2) : (len(theta_directivity) // 2)\n", + " + (num_theta_opt_points // 2)\n", + " + 1\n", + "]\n", + "phi_opt = phi_directivity # use the full phi sweep, but limit the theta points to be centered around 0 degrees\n", + "\n", + "# materials for optimization\n", + "air = td.Medium() # set up the antennas so they radiate into air\n", + "# choose common PCB material, ArlonAD255C, from the RF material library to use as substrate\n", + "sub_medium = rf_material_library[\"AD255C\"][\"design\"]\n", + "PEC = td.PEC2D # thickness-free PEC medium for antenna patches, feed lines, and the ground plane" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Create Simulation Objects\n", + "\n", + "To prepare for the optimization, we need to make a base simulation that we can add the antenna geometry and excitation source to. This base simulation includes the ground plane and substrate, the two structures below the patch antenna. In this simulation, we also set up a `MeshOverrideStructure` to cover the region of the simulation with PEC. We use a very fine mesh here to improve accuracy of both the simulation and PEC gradients. As in other RF examples, the source will be added later via a `LumpedPort`." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def create_base_sim():\n", + " \"\"\"\n", + " Creates the base simulation for evaluating and optimizing patch antennas. The base simulation includes the\n", + " substrate geometry, and ground plane. It also overrides a vertical slice of the simulation where the feed and\n", + " patch will be placed with a fine mesh override to ensure accurate simulation and gradients near the PEC boundaries.\n", + " \"\"\"\n", + " substrate_box = td.Box.from_bounds(\n", + " [sub_x[0], sub_y[0], -sub_z / 2.0],\n", + " [sub_x[1], sub_y[1], sub_z / 2.0],\n", + " )\n", + " # Define substrate structure\n", + " substrate = td.Structure(\n", + " geometry=substrate_box,\n", + " medium=sub_medium,\n", + " )\n", + "\n", + " # Define ground plane structure and assign the material by PEC\n", + " ground_plane = td.Structure(\n", + " geometry=substrate_box.updated_copy(\n", + " center=list(substrate_box.center[0:2]) + [-sub_z / 2.0],\n", + " size=list(substrate_box.size[0:2]) + [0],\n", + " ),\n", + " medium=PEC,\n", + " )\n", + "\n", + " # list of structures for the simulation arranged first by dielectric and then PEC to\n", + " # ensure PEC takes precedence at interfaces.\n", + " structures_list = [substrate, ground_plane]\n", + "\n", + " # PML wavelength at 10 GHz\n", + " wl_pml = wavelength0\n", + "\n", + " # quarter wavelength (at 10 GHz) padding on each side\n", + " sim_x_size = sub_x[1] - sub_x[0] + wl_pml / 2.0\n", + " sim_y_size = sub_y[1] - sub_y[0] + wl_pml / 2.0\n", + " sim_y_center = np.mean(sub_y)\n", + "\n", + " sim_z_max = sub_z + 1.5 * wavelength0\n", + " sim_z_min = sub_z - 0.5 * wavelength0\n", + " sim_z_center = 0.5 * (sim_z_max + sim_z_min)\n", + " sim_z_size = sim_z_max - sim_z_min\n", + "\n", + " # set a fine mesh based on the center wavelength\n", + " dl = wavelength0 / 200.0\n", + " mesh_override_vertical_padding = 1 * mm\n", + "\n", + " mesh_overrides = [\n", + " td.MeshOverrideStructure(\n", + " geometry=td.Box(\n", + " center=(0, sim_y_center, 0.0),\n", + " size=(sim_x_size, sim_y_size, sub_z + mesh_override_vertical_padding),\n", + " ),\n", + " dl=[dl, dl, dl],\n", + " )\n", + " ]\n", + " \n", + " # Truncate the computational domain by PMLs\n", + " boundary_spec = td.BoundarySpec(\n", + " x=td.Boundary.pml(),\n", + " y=td.Boundary.pml(),\n", + " z=td.Boundary.pml(),\n", + " )\n", + "\n", + " # Create the simulation object\n", + " base_sim = td.Simulation(\n", + " center=[0.0, sim_y_center, sim_z_center],\n", + " size=[sim_x_size, sim_y_size, sim_z_size],\n", + " grid_spec=td.GridSpec.auto(\n", + " min_steps_per_wvl=20, # largest cell size is set to 20 cells per smallest wavelength.\n", + " wavelength=td.C_0 / freq_stop, # smallest wavelength to resolve\n", + " override_structures=mesh_overrides, # override the mesh around the antenna and feed for accuracy\n", + " ),\n", + " structures=structures_list,\n", + " sources=[], # sources will be added by TerminalComponentModeler\n", + " monitors=[],\n", + " run_time=70 * (substrate.geometry.size[1] / td.C_0),\n", + " boundary_spec=boundary_spec,\n", + " plot_length_units=\"mm\", # this option will make plots default to units of millimeters.\n", + " )\n", + "\n", + " return base_sim" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In addition to the base simulation creation, we set up a function to add a feed line and PEC patches to a simulation object. Later, this will allow us to create an antenna with an arbitrary list of patches and insert it into our base simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def create_simulation_with_patches(base_sim, patch_boxes, monitors):\n", + " \"\"\"\n", + " Creates a new simulation from the base simulation that includes PEC patches for all of the Box\n", + " objects in patch_boxes as well as adds a feed line.\n", + " \"\"\"\n", + " patches = []\n", + " for patch_box in patch_boxes:\n", + " patches.append(td.Structure(geometry=patch_box, medium=PEC))\n", + "\n", + " feed_geometry = td.Box.from_bounds(\n", + " [feed_offset - 0.5 * feed_x, -feed_y, sub_z / 2], [feed_offset + 0.5 * feed_x, 0, sub_z / 2]\n", + " )\n", + "\n", + " feed = td.Structure(geometry=feed_geometry, medium=PEC)\n", + "\n", + " updated_sim = base_sim.updated_copy(\n", + " structures=list(base_sim.structures) + [feed] + patches,\n", + " monitors=list(base_sim.monitors) + monitors,\n", + " )\n", + "\n", + " return base_sim.updated_copy(\n", + " structures=list(base_sim.structures) + [feed] + patches,\n", + " monitors=list(base_sim.monitors) + monitors,\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we set up a function to create a `LumpedPort` and `TerminalComponentModeler` that will generate the input excitation to the antenna. We can specify an impedance for the port as well as the desired frequencies for the resulting simulation. The `TerminalComponentModeler` will set up the simulations we need to evaluate and optimize the antenna." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def create_modeler(simulation, frequencies, radiation_monitors=(), port_impedance=50):\n", + " \"\"\"\n", + " Creates the LumpedPort and TerminalComponentModeler based on a `simulation`, the desired\n", + " simulation `frequencies`, `radiation_monitors` for computing directivity, and a `port_impedance`.\n", + " \"\"\"\n", + " # Setup a LumpedPort for the TerminalComponentModeler, which is needed\n", + " # to end the port with a matched load as well as providing a source for the simulation.\n", + " port = smatrix.LumpedPort(\n", + " center=[feed_offset, -feed_y, 0],\n", + " size=[feed_x, 0, sub_z],\n", + " voltage_axis=2,\n", + " name=\"lumped_port\",\n", + " impedance=port_impedance,\n", + " )\n", + "\n", + " # We integrate the base simulation with the LumpedPort using the TerminalComponentModeler.\n", + " # This allows us to compute scattering parameters and extract any additional data needed from the simulation.\n", + " modeler = smatrix.TerminalComponentModeler(\n", + " simulation=simulation,\n", + " ports=[port],\n", + " freqs=frequencies,\n", + " remove_dc_component=False, # include DC component for more accuracy at low frequencies\n", + " radiation_monitors=radiation_monitors,\n", + " )\n", + "\n", + " return modeler" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Plotting and Evaluation Functions\n", + "\n", + "Here, we set up some helper functions to aid in plotting antenna geometry and evaluating antenna characteristics before and after optimizations. First, we set up a function to plot the antenna structure and feed line along with the surrounding mesh. Near PEC edges, especially when computing gradients, we recommend using a fine mesh. In this function, we can also observe the location where the input source is fed into the antenna to confirm it is at the end of the feed line." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_structures_and_mesh(patch_boxes):\n", + " \"\"\"Plots the antenna structure and surrounding mesh to ensure it looks as expected before running simulations.\"\"\"\n", + " base_sim = create_base_sim()\n", + "\n", + " no_additional_monitors = []\n", + " sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n", + "\n", + " fig, ax = plt.subplots()\n", + "\n", + " # examine the structure and mesh in the x-y plane\n", + " sim_with_patches.plot(\n", + " z=sub_z / 2,\n", + " ax=ax,\n", + " monitor_alpha=0.2,\n", + " )\n", + " sim_with_patches.plot_grid(z=sub_z / 2, ax=ax)\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Second, we set up a function that can calculate `S11` and realized antenna gain for each polarization. `S11` is the voltage reflection coefficient and $|S_{11}|^2$ is the power reflection coefficient or in other words, the reflected power divided by the input power. A good antenna will have a small `S11` at its operating frequencies. `S11` is plotted in dB and thus at resonance, we will see a large, negative value corresponding to low reflection. Before and after an optimization, this is one way to evaluate how well the optimization tuned the geometry for the correct frequencies. In the realized gain plot, we can see how efficiently energy is radiating from the antenna and in what direction when compared to an isotropic radiator. For simplicity and to keep plots less crowded, we collect the realized gain for the optimization frequencies while we compute `S11` value over a broad spectrum." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def evaluate_antenna(patch_params, eval_s_params_freqs):\n", + " \"\"\"\n", + " Evaluate the S11 parameter and realized gain in both polarizations for the given antenna geometry.\n", + " The S11 is calculated across a broad spectrum while the realized gain is only computed for the opt_freqs.\n", + " \"\"\"\n", + " patch_boxes = params_to_boxes(patch_params)\n", + "\n", + " base_sim = create_base_sim()\n", + " no_additional_monitors = []\n", + " sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n", + "\n", + " monitor_directivity = td.DirectivityMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0],\n", + " size=(\n", + " directivity_size_x,\n", + " directivity_size_y,\n", + " 4 * mm,\n", + " ),\n", + " freqs=opt_freqs,\n", + " name=\"directivity\",\n", + " phi=list(phi_directivity),\n", + " theta=list(theta_directivity),\n", + " far_field_approx=True,\n", + " )\n", + " \n", + " # we only need whatever frequencies are unique in these two lists to have all the data we need for computing\n", + " # S11 and gain\n", + " eval_freqs = np.unique(list(eval_s_params_freqs) + list(opt_freqs))\n", + "\n", + " modeler = create_modeler(\n", + " sim_with_patches, eval_freqs, radiation_monitors=[monitor_directivity]\n", + " )\n", + " smatrix_data = run(modeler, task_name=\"smatrix\", verbose=False)\n", + "\n", + " antenna_parameters_freq = smatrix_data.get_antenna_metrics_data(monitor_name=\"directivity\")\n", + " partial_realized_gain = antenna_parameters_freq.partial_realized_gain(pol_basis=\"linear\")\n", + "\n", + " return smatrix_data, partial_realized_gain" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Given the optimization results, we can plot the comparison of two antenna simulations using the `plot_antenna_comparison` function below. We can easily compare the initial and final optimization states to see how well the resulting antenna is performing in our desired metrics. During the optimization, we will also periodically save the `S11` and gain of the antenna. The function `plot_antenna_evolution` allows us to plot these metrics out so we can see how performance evolved over the course of the optimization." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_antenna_comparison(\n", + " s_matrix_list,\n", + " sim_data_list,\n", + " partial_realized_gain_list,\n", + " plot_phi,\n", + " plot_title=\"Antenna Simulation Comparison\",\n", + " sim_names=None,\n", + " single_color_gain_plots=False,\n", + " savefig_fname=None,\n", + "):\n", + " \"\"\"\n", + " Plots a comparison of two sets of simulation data.\n", + "\n", + " Args:\n", + " s_matrix_list: List of S-matrix objects [s_matrix_sim1, s_matrix_sim2].\n", + " sim_data_list: List of sim_data objects [sim_data_sim1, sim_data_sim2],\n", + " where each sim_data contains a \"radiation\" DirectivityMonitor output.\n", + " partial_realized_gain_list: List of realized gain in linear polarization for each simulation.\n", + " plot_phi: The phi value to select in the realized gain data for plotting.\n", + " plot_title: Optional title to specify for plot (default is \"Antenna Simulation Comparison\").\n", + " sim_names: Optional list of names for simulations for clearer legends.\n", + " single_color_gain_plots: Optional choice to use a single color for all the frequencies\n", + " in the gain plot (True) or have each frequency a different\n", + " color (False). Default is False.\n", + " savefig_fname: An optional filename to save the resulting figure\n", + " \"\"\"\n", + "\n", + " num_simulations = len(s_matrix_list)\n", + " if num_simulations != 2 or len(sim_data_list) != 2:\n", + " print(\"Warning: This function is designed to compare exactly two simulations.\")\n", + "\n", + " alphas = [0.5, 1.0] # Alpha for sim1, sim2\n", + " if sim_names is None or len(sim_names) != num_simulations:\n", + " sim_names = [f\"Sim {i + 1}\" for i in range(num_simulations)]\n", + "\n", + " grid_spec_cols = 3 # S11 and realized gain for each polarization side-by-side\n", + " fig_width = grid_spec_cols * 4.5\n", + " fig_height = 6.5\n", + "\n", + " num_rows = 1\n", + "\n", + " fig = plt.figure(figsize=(fig_width, fig_height), constrained_layout=True)\n", + " gs = fig.add_gridspec(num_rows, grid_spec_cols)\n", + " axs_list = []\n", + "\n", + " # plot the S11 parameter comparison for each simulation\n", + " ax_s11 = fig.add_subplot(gs[0, 0])\n", + " axs_list.append(ax_s11)\n", + " ax_s11.set_title(\"$S_{11}$ Coefficient\")\n", + " ax_s11.set_xlabel(\"Frequency (GHz)\")\n", + " ax_s11.set_ylabel(\"$|S_{11}|^2$ (dB)\")\n", + "\n", + " for sim_idx in range(num_simulations):\n", + " s_matrix = s_matrix_list[sim_idx]\n", + " current_alpha = alphas[sim_idx]\n", + " sim_label_name = sim_names[sim_idx]\n", + "\n", + " s11_freqs_ghz = s_matrix.data.coords[\"f\"] / 1e9\n", + " s11_data_selection = s_matrix.data.isel(port_out=0, port_in=0)\n", + "\n", + " s11_values_flat = s11_data_selection.values.flatten()\n", + " s11_values_db = 20 * np.log10(np.abs(s11_values_flat))\n", + " ax_s11.plot(\n", + " s11_freqs_ghz,\n", + " s11_values_db,\n", + " alpha=current_alpha,\n", + " label=f\"{sim_label_name})\",\n", + " )\n", + "\n", + " impedances_norm = (1 + s11_values_flat) / (1 - s11_values_flat)\n", + "\n", + " for opt_freq in opt_freqs:\n", + " ax_s11.axvline(x=opt_freq / 1e9, color=\"k\", linestyle=\"--\")\n", + "\n", + " ax_s11.set_ylim(-25, 2)\n", + " ax_s11.grid(True)\n", + " ax_s11.legend()\n", + "\n", + " # for each linear polarization component, plot the realized gain for each linear polarization\n", + " polarization_components = [\"Gtheta\", \"Gphi\"]\n", + "\n", + " for pol_idx, pol_component in enumerate(polarization_components):\n", + " ax_polar = fig.add_subplot(gs[0, 1 + pol_idx], projection=\"polar\")\n", + " axs_list.append(ax_polar)\n", + " ax_polar.set_title(f\"Realized Gain for {pol_component}\")\n", + "\n", + " ax_polar.set_theta_direction(-1)\n", + " ax_polar.set_theta_offset(np.pi / 2.0)\n", + " ax_polar.grid(True)\n", + " ax_polar.set_rlabel_position(22.5)\n", + "\n", + " overall_max_gain = -np.inf\n", + " color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", + "\n", + " for freq_idx, eval_freq in enumerate(opt_freqs):\n", + " base_color = color_cycle[freq_idx % len(color_cycle)]\n", + " if single_color_gain_plots:\n", + " base_color = color_cycle[0]\n", + " freq_label_for_legend = f\"{eval_freq / 1e9:.2f} GHz\"\n", + "\n", + " # Plot data for each simulation for the current frequency\n", + " for sim_idx in range(num_simulations):\n", + " sim_data = sim_data_list[sim_idx]\n", + " current_alpha = alphas[sim_idx]\n", + "\n", + " if single_color_gain_plots:\n", + " base_color = color_cycle[sim_idx]\n", + "\n", + " realized_gain_data = partial_realized_gain_list[sim_idx][pol_component].sel(\n", + " f=eval_freq, phi=plot_phi, method=\"nearest\"\n", + " )\n", + "\n", + " gain_values_for_plot = realized_gain_data.squeeze().values\n", + "\n", + " current_max_val = np.max(gain_values_for_plot)\n", + " if current_max_val > overall_max_gain:\n", + " overall_max_gain = current_max_val\n", + "\n", + " # Label only the second simulation's line (alpha=1.0) for the legend entry of this frequency\n", + " label_to_use = f\"{freq_label_for_legend} ({sim_names[sim_idx]})\"\n", + " ax_polar.plot(\n", + " theta_directivity,\n", + " gain_values_for_plot,\n", + " color=base_color,\n", + " alpha=current_alpha,\n", + " label=label_to_use,\n", + " )\n", + "\n", + " ax_polar.set_rlim(0, overall_max_gain * 1.1 if overall_max_gain > 0 else 1.0)\n", + " ax_polar.legend(title=\"Frequency (GHz)\", loc=\"best\", fontsize=\"small\")\n", + "\n", + " fig.suptitle(plot_title, fontsize=16)\n", + "\n", + " if savefig_fname:\n", + " plt.savefig(savefig_fname)\n", + "\n", + " plt.show()\n", + "\n", + "def plot_antenna_evolution(s11_sq_dB, s11_f, partial_realized_gain, gain_freqs):\n", + " \"\"\"Plots the evolution of the antenna S11 and and realized gain throughout an optimization.\n", + " Args:\n", + " s11_sq_dB: List of |S11|^2 (in dB) at each point in optimization. The length should match the\n", + " length of `partial_realized_gain`\n", + " s11_f: Frequencies for each S11 array\n", + " partial_realized_gain: List of realized gain objects broken into linear polarization. The length\n", + " of this list should match the length of `s11_sq_dB`\n", + " gain_freqs: List of frequencies for each realized gain object.\n", + " \"\"\"\n", + " num_lines = len(s11_sq_dB)\n", + "\n", + " alphas = np.linspace(0.25, 1.0, num_lines)\n", + "\n", + " fig_width = 13.5\n", + " fig_height = 6.5\n", + "\n", + " fig = plt.figure(figsize=(fig_width, fig_height), constrained_layout=True)\n", + " num_rows = 1\n", + " grid_spec_cols = 3\n", + " gs = fig.add_gridspec(num_rows, grid_spec_cols)\n", + " axs_list = []\n", + "\n", + " ax_s11 = fig.add_subplot(gs[0, 0])\n", + " axs_list.append(ax_s11)\n", + " ax_s11.set_title(\"$S_{11}$ Coefficient\")\n", + " ax_s11.set_xlabel(\"Frequency (GHz)\")\n", + " ax_s11.set_ylabel(\"$|S_{11}|^2$ (dB)\")\n", + "\n", + " color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", + "\n", + " for idx in range(0, num_lines):\n", + " ax_s11.plot(s11_f, s11_sq_dB[idx], color=color_cycle[0], linewidth=1.5, alpha=alphas[idx])\n", + "\n", + " ax_s11.set_ylim(-25, 2)\n", + " ax_s11.grid(True)\n", + "\n", + " def add_polar_sequence(grid_col, pol_component, title):\n", + " ax_polar = fig.add_subplot(gs[0, grid_col], projection=\"polar\")\n", + " axs_list.append(ax_polar)\n", + " ax_polar.set_title(f\"Realized Gain for {pol_component}\")\n", + "\n", + " ax_polar.set_theta_direction(-1)\n", + " ax_polar.set_theta_offset(np.pi / 2.0)\n", + " ax_polar.grid(True)\n", + " ax_polar.set_rlabel_position(22.5)\n", + "\n", + " for idx in range(0, num_lines):\n", + " partial_realized_gain_batch = partial_realized_gain[idx][pol_component]\n", + " partial_realized_gain_batch = np.reshape(\n", + " partial_realized_gain_batch, (len(gain_freqs), len(theta_directivity))\n", + " )\n", + "\n", + " for freq_idx in range(0, len(gain_freqs)):\n", + " gain_values_for_plot = partial_realized_gain_batch[freq_idx]\n", + "\n", + " ax_polar.plot(\n", + " theta_directivity, gain_values_for_plot, color=color_cycle[freq_idx], alpha=alphas[idx]\n", + " )\n", + "\n", + " ax_polar.set_title(title)\n", + "\n", + " add_polar_sequence(1, \"Gtheta\", f\"Realized Gain\\n(Gtheta), phi=0\")\n", + " add_polar_sequence(2, \"Gphi\", f\"Realized Gain\\n(Gphi), phi=0\")\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We set up a function to plot the figure of merit trajectory of the optimization and compare the initial and final antenna geometries. This is an indication of how well the optimization worked as well as a demonstration of the overall change that occurred over the course of the optimization." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_optimization_results(\n", + " figure_of_merit, feed_rect, init_rectangles, final_rectangles, savefig_fname=None\n", + "):\n", + " \"\"\"\n", + " Plots a main rectangle and two lists of other rectangles with specified styles.\n", + "\n", + " Args:\n", + " figure_of_merit: Figure of merit for each iteration during the optimization.\n", + " feed_rect: The rectangular corresponding to the feed line.\n", + " init_rectangles: A list of rectangles corresponding to the initial state\n", + " of the optimization.\n", + " final_rectangles: A list of rectangles corresponding to the final condition\n", + " of the optimization.\n", + " savefig_fname: Optional filename to save the resulting figure.\n", + "\n", + " \"\"\"\n", + " fig, ax = plt.subplots(1, 2)\n", + " ax[1].set_aspect(\"equal\", adjustable=\"box\")\n", + "\n", + " all_rects_params = [] # to store (x_bl, y_bl, width, height) for limit calculation\n", + "\n", + " # helper function to add a rectangle and collect its parameters\n", + " def add_rectangle_to_plot(\n", + " rect_obj, facecolor, alpha=1.0, edgecolor=\"black\", linestyle=\"solid\", legend=None\n", + " ):\n", + " \"\"\"\n", + " Adds a single rectangle to the plot and collects its parameters.\n", + "\n", + " Args:\n", + " rect_obj: The rectangle object with 'center' and 'size'.\n", + " facecolor: The face color of the rectangle.\n", + " alpha: Optional transparency of the rectangle.\n", + " edgecolor: Optional edge color of the rectangle.\n", + " linestyle: Optional line style of the rectangle's border.\n", + " legend: Optional legend entry to use for this rectangle.\n", + " \"\"\"\n", + " center_x, center_y, _ = (coord / mm for coord in rect_obj.center)\n", + " width, height, _ = (sz / mm for sz in rect_obj.size)\n", + "\n", + " # Calculate bottom-left corner coordinates\n", + " bottom_left_x = center_x - width / 2\n", + " bottom_left_y = center_y - height / 2\n", + "\n", + " all_rects_params.append((bottom_left_x, bottom_left_y, width, height))\n", + "\n", + " rect_patch = patches.Rectangle(\n", + " (bottom_left_x, bottom_left_y),\n", + " width,\n", + " height,\n", + " facecolor=facecolor,\n", + " alpha=alpha,\n", + " edgecolor=edgecolor,\n", + " linestyle=linestyle,\n", + " linewidth=1, # Default linewidth for borders\n", + " label=legend,\n", + " )\n", + " ax[1].add_patch(rect_patch)\n", + "\n", + " add_rectangle_to_plot(feed_rect, facecolor=\"gold\", edgecolor=\"black\")\n", + "\n", + " legends_init_rect = [\n", + " \"initial\" if (idx == 0) else None for idx in range(0, len(init_rectangles))\n", + " ]\n", + " legends_final_rect = [\n", + " \"final\" if (idx == 0) else None for idx in range(0, len(final_rectangles))\n", + " ]\n", + "\n", + " # plot rectangles from the second list (gold)\n", + " for idx, rect_obj in enumerate(final_rectangles):\n", + " add_rectangle_to_plot(\n", + " rect_obj, facecolor=\"gold\", edgecolor=\"black\", legend=legends_final_rect[idx]\n", + " ) # Added black edge for consistency\n", + "\n", + " # plot rectangles from the first list (gray, 0.25 alpha, dotted black border)\n", + " for idx, rect_obj in enumerate(init_rectangles):\n", + " add_rectangle_to_plot(\n", + " rect_obj,\n", + " facecolor=\"gray\",\n", + " alpha=0.25,\n", + " edgecolor=\"black\",\n", + " linestyle=\"dotted\",\n", + " legend=legends_init_rect[idx],\n", + " )\n", + "\n", + " # calculate plot limits\n", + " if all_rects_params:\n", + " min_x = min(p[0] for p in all_rects_params)\n", + " min_y = min(p[1] for p in all_rects_params)\n", + " max_x = max(p[0] + p[2] for p in all_rects_params) # max x is bottom_left_x + width\n", + " max_y = max(p[1] + p[3] for p in all_rects_params) # max y is bottom_left_y + height\n", + "\n", + " # add some padding to the limits\n", + " padding_x = (max_x - min_x) * 0.1 if (max_x - min_x) > 0 else 1\n", + " padding_y = (max_y - min_y) * 0.1 if (max_y - min_y) > 0 else 1\n", + "\n", + " ax[1].set_xlim(min_x - padding_x, max_x + padding_x)\n", + " ax[1].set_ylim(min_y - padding_y, max_y + padding_y)\n", + " else:\n", + " # default limits if no rectangles are plotted\n", + " ax[1].set_xlim(-5, 5)\n", + " ax[1].set_ylim(-5, 5)\n", + "\n", + " ax[1].set_title(\"Antenna Geometry\")\n", + " ax[1].set_xlabel(\"X-coordinate (mm)\")\n", + " ax[1].set_ylabel(\"Y-coordinate (mm)\")\n", + " ax[1].grid(True, linestyle=\"--\", alpha=0.7)\n", + "\n", + " ax[1].legend(loc=\"lower left\", bbox_to_anchor=(1.0, 0.75))\n", + "\n", + " ax[0].plot(figure_of_merit, color=\"green\", linewidth=2)\n", + " ax[0].set_title(\"Optimization\")\n", + " ax[0].set_xlabel(\"Iteration\")\n", + " ax[0].set_ylabel(\"Figure of Merit\")\n", + "\n", + " if savefig_fname:\n", + " plt.savefig(savefig_fname)\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Demonstrating Gradient Based Optimization of a Single Patch Antenna\n", + "\n", + "In our optimization, we use the adjoint gradients to tune the width and height of a single patch antenna element. As a first step, we create an objective function that takes in parameters defining the antenna geometry which correspond to `Box` geometries that can be imported into the simulation. After adding the source via the `TerminalComponentModeler`, the objective runs a simulation and we compute the `S11` spectrum and flux into a band of angles above the antenna. `S11` is a measure of how much energy is reflected and the radiated flux over a set of angles gives us a good figure of merit for directivity. We optimize the antenna to direct the radiated power at 0 degrees, directly outward from the antenna plane. The two figures are combined together into one by computing reflection efficiency as $1 - |S_{11}|^2$ and multiplying by the sum of the flux over a narrow band of angles around 0 degrees normalized by the initial flux in each of these angles, which is specified through `poynting_flux_initial`. The `objective_fn` uses the helper function `compute_poynting_and_s11` to compute these metrics. We show the functional flow for computing the objective function below and where automatic differentiation comes into the picture. Each iteration in the optimization will consist of computing a gradient of the objective function with respect to the antenna geometric parameters and then updating those parameters accordingly.\n", + "\n", + "
\n", + " \n", + " \n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_poynting_and_s11(\n", + " patch_params,\n", + " log_simulation_cost=False,\n", + "):\n", + " \"\"\"\n", + " Computes the Poynting flux for an antenna. The antenna parameters are specified in and\n", + " `patch_params` are converted these parameters to simulation objects. These objects are inserted\n", + " into a base simulation. After setup, the antenna simulation is run to compute the `S11` and the\n", + " Poynting flux considering just the angular components in the `FieldProjectionAngleMonitor`.\n", + " \"\"\"\n", + " base_sim = create_base_sim()\n", + "\n", + " # set up monitor that will be used as a data source for far field projection\n", + " monitor_radiation = td.FieldMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs,\n", + " name=\"radiation\",\n", + " colocate=False,\n", + " )\n", + " # set up monitor that will be used to project radiation to the far field so we can\n", + " # optimize for directivity\n", + " monitor_far_field = td.FieldProjectionAngleMonitor(\n", + " center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n", + " size=(directivity_size_x, directivity_size_y, 0.0),\n", + " freqs=opt_freqs,\n", + " name=\"far_field\",\n", + " phi=phi_opt,\n", + " theta=theta_opt,\n", + " far_field_approx=True,\n", + " proj_distance=50 * wavelength0, # project far away form antenna\n", + " )\n", + "\n", + " antenna_monitors = [monitor_radiation, monitor_far_field]\n", + "\n", + " # Add antenna patches to simulation\n", + " sim_with_patches = create_simulation_with_patches(\n", + " base_sim, params_to_boxes(patch_params), antenna_monitors\n", + " )\n", + "\n", + " # Create the `TerminalComponentModeler` to add the source and get the simulation we can run\n", + " # to evaluate the antenna performance\n", + " modeler_freqs = sorted(list(set(list(opt_sim_freqs) + list(opt_freqs))))\n", + "\n", + " modeler = create_modeler(\n", + " sim_with_patches, modeler_freqs,\n", + " )\n", + "\n", + " # Run the simulations for the antenna\n", + " if log_simulation_cost:\n", + " job = td.web.Job(simulation=modeler, task_name=\"smatrix\", verbose=False)\n", + " smatrix_data = job.run()\n", + " cost = td.web.real_cost(job.task_id)\n", + " console.print(\n", + " f\"The antenna cost [bold yellow]{cost:.2f}[/bold yellow] FlexCredits to run. \"\n", + " f\"Each iteration of the optimization will cost around \"\n", + " f\"[bold cyan]{2*cost:.2f}[/bold cyan] FlexCredits to complete.\"\n", + " )\n", + " else:\n", + " smatrix_data = run(modeler, task_name=\"smatrix\", verbose=False)\n", + " \n", + " # Set up a `FieldProjector` based on the 'radiation' monitor near the patch\n", + " projector = td.FieldProjector.from_near_field_monitors(\n", + " sim_data=smatrix_data.data[\"lumped_port\"],\n", + " near_monitors=[monitor_radiation],\n", + " normal_dirs=[\"+\"], # we are projecting along the +z direction\n", + " )\n", + " # Project this near field into the subset of far field components\n", + " # specified by the 'far_field' monitor\n", + " radiation_data = projector.project_fields(monitor_far_field)\n", + " poynting_flux = np.abs(\n", + " np.real(\n", + " 0.5\n", + " * (\n", + " radiation_data.Etheta * np.conj(radiation_data.Hphi)\n", + " - radiation_data.Ephi * np.conj(radiation_data.Htheta)\n", + " )\n", + " )\n", + " )\n", + "\n", + " return poynting_flux, smatrix_data.smatrix()\n", + "\n", + "\n", + "def objective_fn(patch_params, poynting_flux_initial):\n", + " \"\"\"\n", + " Objective function for an antenna optimization that computes a product of the reflection\n", + " efficiency and the increased flux in a set of optimization angles compared to the initial design.\n", + " \"\"\"\n", + "\n", + " def weights_from_merit(merit):\n", + " \"\"\"\n", + " Computes performance based weights that sum to a total weight of 1.\n", + " For a given frequency, the weights are inversely tied to the performance\n", + " so that figures of merit that are lagging get favored more than those that\n", + " are leading.\n", + " \"\"\"\n", + " weights = (2.0 / len(merit)) - (merit**2 / anp.sum(merit**2))\n", + " clip_weights = anp.maximum(weights, 0.0)\n", + "\n", + " inv_weights = 1.0 / anp.sum(clip_weights)\n", + " renorm_weights = clip_weights * inv_weights\n", + "\n", + " return renorm_weights\n", + "\n", + " poynting_flux, smatrix = compute_poynting_and_s11(patch_params)\n", + "\n", + " fom_by_freq = []\n", + " for freq in opt_freqs:\n", + " directivity_metric = np.sum(poynting_flux.sel(f=freq).data) / np.sum(\n", + " poynting_flux_initial.sel(f=freq).data\n", + " )\n", + "\n", + " s11 = np.abs(smatrix.data.isel(port_out=0, port_in=0).sel(f=freq).data)\n", + "\n", + " fom = (1 - np.abs(s11) ** 2) * directivity_metric\n", + " fom_by_freq.append(fom)\n", + "\n", + " fom_by_freq = anp.array(fom_by_freq)\n", + "\n", + " if len(fom_by_freq) > 1:\n", + " weights = weights_from_merit(fom_by_freq) # dynamic optimization weights\n", + " return anp.sum(weights * fom_by_freq)\n", + " else:\n", + " return anp.sum(fom_by_freq)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We create a helper function to convert the patch width and height parameters to the antenna geometry for a single patch. To check our setup, we plot what the resulting antenna will look like when inserted into a simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def params_to_boxes(patch_params):\n", + " \"\"\"Convert single patch parameters into patch geometry.\"\"\"\n", + " patch_wh = patch_params[0:2]\n", + " main_patch = td.Box.from_bounds(\n", + " [-0.5 * patch_wh[0], 0.0, sub_z / 2.0], [0.5 * patch_wh[0], patch_wh[1], sub_z / 2.0]\n", + " )\n", + " return [main_patch]\n", + "\n", + "\n", + "# set an initial width and height for the patch\n", + "patch_init_width = 12.45 * mm\n", + "patch_init_height = 16 * mm\n", + "patch_init_wh = anp.array([patch_init_width, patch_init_height])\n", + "\n", + "# set the min/max for the patch width and height to use to bound these parameters in the optimization\n", + "patch_min_width = 8 * mm\n", + "patch_min_height = 8 * mm\n", + "\n", + "patch_max_width = 18 * mm\n", + "patch_max_height = 24 * mm\n", + "\n", + "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n", + "plot_structures_and_mesh(params_to_boxes(patch_init_wh))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we set up the optimization. We create the monitors to capture the far field radiation and solve for the initial flux into the target radiation angular components. Then, we configure the optimizer which we can also load from a saved checkpoint by toggling the `restart_optimization` flag if we get interrupted in the middle. When computing the initial values of `S11` and the radiated flux, we log the simulation cost to give an idea of how many FlexCredits it costs run. During the optimization loop, each iteration we compute the gradient, which requires two simulations. The cost per iteration will thus be double that of a single simulation except for the occasional iteration where we save additional simulation data for evaluation after the optimization. On those iterations, the cost will be 3x the single simulation cost. To reduce the number of the full evaluations, you can increase `full_eval_period`." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
17:53:31 EDT Component modeler batch validation has been successful.            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m17:53:31 EDT\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
23:56:07 EDT Billed FlexCredit cost: 0.122. Minimum cost depends on task        \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m23:56:07 EDT\u001b[0m\u001b[2;36m \u001b[0mBilled FlexCredit cost: \u001b[1;36m0.122\u001b[0m. Minimum cost depends on task \n", + "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", + "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
The antenna cost 0.12 FlexCredits to run. Each iteration of the optimization will cost around 0.24 FlexCredits to \n",
+       "complete.\n",
+       "
\n" + ], + "text/plain": [ + "The antenna cost \u001b[1;33m0.12\u001b[0m FlexCredits to run. Each iteration of the optimization will cost around \u001b[1;36m0.24\u001b[0m FlexCredits to \n", + "complete.\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Turn the logging level to only show errors to not crowd the optimization output with repeated warnings\n", + "td.config.logging_level = \"ERROR\"\n", + "\n", + "# whether or not to restart the optimization from the current saved checkpoint\n", + "restart_optimization = False\n", + "restart_fname = \"misc/rf_autograd_1_patch_opt_state.pkl\"\n", + "\n", + "# set up the single patch radiation monitor sizes\n", + "obj_fn_monitor_dim = 1.25 * np.mean(patch_init_wh)\n", + "obj_fn_monitor_center_y = 0.5 * patch_init_wh[1]\n", + "\n", + "# compute initial poynting flux to be used in the objective function\n", + "initial_poynting_flux, initial_s11 = compute_poynting_and_s11(patch_init_wh, log_simulation_cost=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we run the optimization and capture the figure of merit, `S11`, and gain metrics along the way." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + }, + { + "data": { + "text/html": [ + "
Iteration 1\n",
+       "        Params (width, height) (mm): 12.42, 15.97\n",
+       "        Figure of merit:          0.10\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 1\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m12.42, 15.97\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.10\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + }, + { + "data": { + "text/html": [ + "
Iteration 6\n",
+       "        Params (width, height) (mm): 12.27, 15.82\n",
+       "        Figure of merit:          0.12\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 6\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m12.27, 15.82\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.12\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + }, + { + "data": { + "text/html": [ + "
Iteration 11\n",
+       "        Params (width, height) (mm): 12.13, 15.67\n",
+       "        Figure of merit:          0.15\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 11\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m12.13, 15.67\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.15\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + }, + { + "data": { + "text/html": [ + "
Iteration 16\n",
+       "        Params (width, height) (mm): 11.95, 15.51\n",
+       "        Figure of merit:          0.21\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 16\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m11.95, 15.51\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.21\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + }, + { + "data": { + "text/html": [ + "
Iteration 21\n",
+       "        Params (width, height) (mm): 11.77, 15.33\n",
+       "        Figure of merit:          0.27\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 21\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m11.77, 15.33\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.27\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + }, + { + "data": { + "text/html": [ + "
Iteration 26\n",
+       "        Params (width, height) (mm): 11.54, 15.14\n",
+       "        Figure of merit:          0.52\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 26\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m11.54, 15.14\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m0.52\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + }, + { + "data": { + "text/html": [ + "
Iteration 31\n",
+       "        Params (width, height) (mm): 11.28, 14.92\n",
+       "        Figure of merit:          1.25\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 31\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m11.28, 14.92\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m1.25\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + }, + { + "data": { + "text/html": [ + "
Iteration 36\n",
+       "        Params (width, height) (mm): 11.01, 14.67\n",
+       "        Figure of merit:          3.67\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 36\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m11.01, 14.67\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m3.67\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + }, + { + "data": { + "text/html": [ + "
Iteration 41\n",
+       "        Params (width, height) (mm): 10.73, 14.43\n",
+       "        Figure of merit:          11.58\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 41\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m10.73, 14.43\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m11.58\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + }, + { + "data": { + "text/html": [ + "
Iteration 46\n",
+       "        Params (width, height) (mm): 10.47, 14.24\n",
+       "        Figure of merit:          23.60\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 46\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m10.47, 14.24\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.60\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + }, + { + "data": { + "text/html": [ + "
Iteration 51\n",
+       "        Params (width, height) (mm): 10.48, 14.18\n",
+       "        Figure of merit:          23.60\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 51\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m10.48, 14.18\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.60\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + }, + { + "data": { + "text/html": [ + "
Iteration 56\n",
+       "        Params (width, height) (mm): 10.53, 14.16\n",
+       "        Figure of merit:          23.54\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36mIteration 56\u001b[0m\n", + " Params (width, height) (mm): \u001b[34m10.53, 14.16\u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1mFigure of merit: \u001b[0m\u001b[1;32m23.54\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:238: RuntimeWarning: invalid value encountered in scalar divide\n", + " envelope = np.exp(-((freq - self.freq0) ** 2) / 2 / self.fwidth**2)\n", + "/Users/gregoryroberts/Development/tidy3d/tidy3d/components/source/time.py:248: RuntimeWarning: invalid value encountered in scalar divide\n", + " return self.amp_freq(freq) / self._peak_freq_amp\n", + "/Users/gregoryroberts/Library/Caches/pypoetry/virtualenvs/tidy3d-7BAVEDvH-py3.12/lib/python3.12/site-packages/pyroots/brent.py:150: RuntimeWarning: invalid value encountered in scalar add\n", + " xcur += scur\n" + ] + } + ], + "source": [ + "# Set up the objective function for the single patch that is a function\n", + "# of the patch width and height. Using autograd, we can find the gradient\n", + "# of the objective function with respect to the first argument, which contains\n", + "# the (width, height) parameters describing the rectangular patch.\n", + "obj_val_and_grad = value_and_grad(objective_fn, argnum=[0])\n", + "patch_wh = patch_init_wh.copy()\n", + "\n", + "# Set up optimization parameters and optimizer\n", + "learning_rate = 30\n", + "optimizer = optax.adam(learning_rate=learning_rate, b1=0.8)\n", + "opt_state = optimizer.init(patch_wh)\n", + "\n", + "num_steps = 60\n", + "\n", + "full_eval_period = 10\n", + "s11_sq_dB_evolution = []\n", + "s11_f_ghz = None\n", + "realized_gain_evolution = []\n", + "\n", + "# Set bounds on patch width and height in the optimization\n", + "clip_min_single = anp.array([patch_min_width, patch_min_height])\n", + "clip_max_single = anp.array([patch_max_width, patch_max_height])\n", + "\n", + "figure_of_merit = np.zeros(num_steps + 1)\n", + "\n", + "def pack_optimization_state(iter_idx):\n", + " optimization_state[\"iteration\"] = iter_idx\n", + " optimization_state[\"figure of merit\"] = figure_of_merit\n", + " optimization_state[\"realized gain evolution\"] = realized_gain_evolution\n", + " optimization_state[\"opt state\"] = opt_state\n", + " optimization_state[\"patch parameters\"] = patch_wh\n", + "\n", + "optimization_state = {}\n", + "if not os.path.exists(restart_fname):\n", + " pack_optimization_state(iter_idx=0)\n", + "\n", + "if restart_optimization:\n", + " with open(restart_fname, \"rb\") as file:\n", + " optimization_state = pickle.load(file)\n", + "\n", + "start_idx = 0\n", + "if restart_optimization:\n", + " start_idx = optimization_state[\"iteration\"]\n", + " figure_of_merit = optimization_state[\"figure of merit\"]\n", + " realized_gain_evolution = optimization_state[\"realized gain evolution\"]\n", + " opt_state = optimization_state[\"opt state\"]\n", + " patch_wh = optimization_state[\"patch parameters\"]\n", + "\n", + "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n", + "# at each step and clipping the design on the bounds\n", + "for step_idx in range(start_idx, num_steps):\n", + " pack_optimization_state(iter_idx=step_idx)\n", + " with open(restart_fname, \"wb\") as file:\n", + " pickle.dump(optimization_state, file)\n", + "\n", + " f, g = obj_val_and_grad(patch_wh, initial_poynting_flux)\n", + "\n", + " figure_of_merit[step_idx] = f\n", + "\n", + " if (step_idx % full_eval_period) == 0:\n", + " smatrix_data_eval, realized_gain_eval = evaluate_antenna(\n", + " patch_wh, freqs_s_params\n", + " )\n", + " smatrix_eval = smatrix_data_eval.smatrix()\n", + " smatrix_f_ghz = smatrix_eval.data.coords[\"f\"] / 1e9\n", + " s11_f_ghz = smatrix_f_ghz.copy()\n", + " s11_data_selection = smatrix_eval.data.isel(port_out=0, port_in=0)\n", + " s11_sq_dB_evolution.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n", + "\n", + " realized_gain_evolution.append(\n", + " {\n", + " \"Gtheta\": realized_gain_eval[\"Gtheta\"]\n", + " .sel(phi=0, method=\"nearest\")\n", + " .squeeze()\n", + " .values,\n", + " \"Gphi\": realized_gain_eval[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values,\n", + " }\n", + " )\n", + " \n", + " updates, opt_state = optimizer.update(-g[0], opt_state, patch_wh)\n", + "\n", + " patch_wh = optax.apply_updates(patch_wh, updates)\n", + " patch_wh = anp.array(patch_wh)\n", + " patch_wh = anp.clip(patch_wh, a_min=clip_min_single, a_max=clip_max_single)\n", + "\n", + " if (step_idx % print_iteration_frequency) == 0:\n", + " output_text = Text.assemble(\n", + " (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n", + " \"\\n\",\n", + " (f\"\\tParams (width, height) (mm): \", \"\"),\n", + " (f\"{(patch_wh[0] / mm):.{print_decimal_places}f}, {(patch_wh[1] / mm):.{print_decimal_places}f}\", \"blue\"),\n", + " \"\\n\",\n", + " (f\"\\tFigure of merit: \", \"bold\"),\n", + " (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n", + " )\n", + " console.print(output_text)\n", + "\n", + "figure_of_merit[num_steps] = objective_fn(patch_wh, initial_poynting_flux)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Below, we plot the optimization output, including the figure of merit as a function of iteration and a comparison of the initial and final patch geometry. During the optimization, we also tracked how the `S11` coefficient and realized gain were evolving as the optimizer tuned the patch width and height. This evolution is visualized as well, showing the resonance moving towards the desired frequency and the antenna gain increasing accordingly. In the visualization the lines get darker moving from the beginning of the optimization to the end." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the results of the optimization including the optimization trajectory and the resulting patch geometry\n", + "# compared to the initial state\n", + "plot_optimization_results(\n", + " figure_of_merit,\n", + " td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n", + " params_to_boxes(patch_init_wh),\n", + " params_to_boxes(patch_wh),\n", + ")\n", + "\n", + "# Plot the evolution of the antenna S11 and realized gain during the course of the optimization\n", + "plot_antenna_evolution(\n", + " s11_sq_dB_evolution,\n", + " s11_f_ghz,\n", + " realized_gain_evolution,\n", + " opt_freqs,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we plot a performance comparison between our initial final antenna states including the realized gain for both polarization." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# Compute S11 and realized gain for the initial patch geometry\n", + "smatrix_data_init, realized_gain_init = evaluate_antenna(\n", + " patch_init_wh, freqs_s_params\n", + ")\n", + "# Compute S11 and realized gain for the optimized patch geometry\n", + "smatrix_data_final, realized_gain_final = evaluate_antenna(\n", + " patch_wh, freqs_s_params\n", + ")\n", + "\n", + "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=0\n", + "plot_phi = 0.0\n", + "plot_antenna_comparison(\n", + " [smatrix_data_init.smatrix(), smatrix_data_final.smatrix()],\n", + " [smatrix_data_init.data, smatrix_data_final.data],\n", + " [realized_gain_init, realized_gain_final],\n", + " plot_phi,\n", + " sim_names=[\"before optimization\", \"after optimization\"],\n", + " plot_title=f\"Antenna Comparison (phi=0)\",\n", + ")\n", + "\n", + "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=pi / 2\n", + "plot_phi = np.pi / 2.0\n", + "plot_antenna_comparison(\n", + " [smatrix_data_init.smatrix(), smatrix_data_final.smatrix()],\n", + " [smatrix_data_init.data, smatrix_data_final.data],\n", + " [realized_gain_init, realized_gain_final],\n", + " plot_phi,\n", + " sim_names=[\"before optimization\", \"after optimization\"],\n", + " plot_title=f\"Antenna Comparison (phi=\\u03a0 / 2)\",\n", + ")\n", + "# Save results of optimization\n", + "np.save(\"misc/rf_autograd_1_patch_antenna_optimization.npy\", patch_wh)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Inverse design and the adjoint method will become increasingly useful when the degrees of freedom in the optimization get larger and the target objective functions are more challenging. In future notebooks, we will demonstrate how to take advantage of this process to find designs for dual-band patch antennas and other more challenging " + ] + } + ], + "metadata": { + "description": "Patch antennas are widely used in wireless communication applications due to their simple design, ease of fabrication, and low profile. In this notebook, we will demonstrate how to use Tidy3D to simulate a rectangular patch antenna and compute key performance metrics. These include S-parameters using the TerminalComponentModeler, as well as directivity, axial ratio, and polarized far-field components using the DirectivityMonitor.", + "feature_image": "./img/PatchAntenna.png", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "keywords": "patch antenna, directivity, axial ratio, S-parameters, Tidy3d, FDTD", + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.8" + }, + "title": "How to compute directivity and S-parameters of patch antenna using Tidy3D FDTD" + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/img/pec_optimization_workflow.png b/img/pec_optimization_workflow.png new file mode 100644 index 0000000000000000000000000000000000000000..b03dbebf2c9dd624ab63bab90da85ee9785677f5 GIT binary patch literal 164142 zcmeFZWn7h86E{qkVo?GD8zfokQ9K;Y+V{F5DuURP80~sOS`LPC8wG~NDJ3NgxEr1E4+Ns2i*EZ+ zyXD5~gwy2&JL9c-M7T5|Q21i1I^2TT{$epH{04dlwYfZ=06e}49Dy}18V<9iy*-kb zVbP_ViyaXt=g2=zd_DQ{y4)n-3kE6NE7mWoWPVKd=Sbk2;{BLi_~3-`7w9vWyA+-2 zztq^SfWC~-BxJYt&?FSJMxR;C>AO7ONAQxwLR*N1GdU7S(gJnA0pER0Zyn|TO#b~P z=}}KtJdKYt-^6RlC8)fsTuKqqERVfl#hDBgF@Jwkg7-T{ztr{6o8q650i} z*7pciA!>X5s!H8VRw1^TZ*!S2=bQ!)+Ns_pSdXFyj*~=Gs=r-wOlnm}o z6y;0-cw8n=Ra$fOir=U*M7>4IIxH@^>tem(b-Bg!Rd-|j106cQEu2nopZ|TOWem4x z*azqL^_yM4$Xk9+308ehs>g);k(22a5w|q11lHUzPXS}s{r5^CUpEb_2M~{(y*N39 zzs3taDWrN&_(UW0J|0Y+gfVJSv@Q4Y3vCJV>j6{Gol6kHjsQp(kvwlzm!=&htYYh} zr88^`9R&e|8Y^)332IF9L$OOVW z-+OBE}$n1pWO@_!|dCAg?G@H!#tgzc`2dkxBDrLTyLKW9?`b=Nq&J#dy??6 z=W*FHl!u5PK7G+mC9-^fJ~!ixRCm_0=3{5w*UZ`Q4T~7-8~S~;F*Kq#8Vb)u_FiiT zqY}yTJA?RFXO~bb-^N)w!)+msd}8kXjOqP!3uF1moQJg$NBbVig|eX^ujIMaL-+kR zC>vD0*b&S=b27z5eDXuuLl&<@BG;|<(~j7nRI_!Tl78&(H*_?hRs3k7FD4%+-Jo-P z#2vz>kLeXe)J9OOype@*Kfg-!lGf6?V%)>iHl=rmZU3+%hdJB2z+ubwDt)U9udiLj z;^mCugk<$I7TV+ybXIEJ|R)ue`F1nxT{@{ysvc(HvuhP<_cf`)-k28U;C~u!Q(qDEl-}`Yi&s_!lpwE*S9Nvly^7x^I8$bNkXA6 zkt)X#G3A_OLJ;?7oG1R2-(R>B@ZssaRrx;R%kXm|5)ax88p>0y5~=x`i#w8{hAXto+dixgtc!OKbdSAwbMY}%q&U@C zE|rR`Q?e7I^PV`?B3VZG-p3rN@=s^7^Vt)_$iud#M2B||?;S?IefzfhE$n6BTVef% zm({HvL3RYkY%@dlCP%Eq^pTnA^svp;#FXjO`qZJ-QF~8U4Bq611Z^RHkw#HZSjVva z;DVVy>oP>ybkt0H)V()_DetjntHDdsv_PBpHXjG_MFvVn=OE~1OQuSuL<2RSMsj6Ka5&f-cCPt5Ooc~4yMC* zv0kuxnf0+=E^mM?ZS!UR%lcM|R?=4HdCXQ=V6BuY#TCT_g_%@vtbHuA6jX{l(@ZKP z{;GLY-)^FM!}bW`7!vzYEh~1=JYFq+Le!3MA8DU#AG+j3pN0D*;BG)UE~Qp3E4ah8*unQufe=dAAoWQqzlTVpCO>(Tb&_T>*HM@| zSSxs%qE_N4t3DnY1OcTkWm}rJ0h8NM|(YgAo`o3+wgp-^{ ze!0H6;|`_kQXH9+&Xr#+=`E9|d8Zb)9JaKGqlh8IguIs4_FMxAh6#2_NPTd9E=fH} z+x1iRd-eBRFBdmg66fnD&sRC)ZRTvaTX_$jA3r=X-(TG^JkLC}Jlx!2*~dCjI_2G| z+`&8DKJffpK5t}qY@LkCiQ0~M54CR5Wp`;u8cENa)SKMfLJ%y7E{G#|?9=1R;%nyX z_G0RVkzWED`J1=z3NY%MIhO96vRx!Gg%okUhP6O`*!;lxai47C>B2*)`GMWn^J9UH zSP&fQAoKSKau-=_a!zR$sW6diY@xsp!P$W>Pq--@9XBR8jiw^1rfsa|5a(3B%t{wY z$x@U(V}7K7W%g*60+}LTdM$>@^>YF`UKnOLc}Ea+dc>EAMCy7hUy6eG@z}K}^#oUF zSWh~Bc&`k5LIU^c3U(`YbA%A&O<8)`G$a{G&WA?O3d|4HcMS=p)MRw0*u%@marglJ zlKWML*_~P0n5XBULo<9Laxq#dYJ~oW7|k=r5~0#cgT|f@ofDBm(eV+rj3EipQBJ}+ zPkTNlC7Ciiv<^GQ`sS&QKJPL6Rs-SPvp$tZPK`-7=^pdrKg$=_Saj+GK%`Yyx8Yg|4F&RoNai4Ek^?Yj))ZEQP7*K8`POxrM{c>b63&GQ=?;SC?0p)jUqpJ)Dc#Zp&xCj zdX^!qxF?Zq2T@yv8Gbfwbmw0>-`hTqGN!ZA_|c%ZFFq%}+PR*4p{!Ims;yOZ_9JfB zY;CM$EGiFLZ`oP1Z&+ZcF{&^|JLVK28o^;%G*x8V0`t%FH;aUiJZC4c(5%_rq!`HT ziofI-vv@uuU$fYv+%XzI`J!S(MNK8rg3^+4{K{E$F1VE6+9PWMQdMfdysR~-MKn@8 z0yE<=HFYH1)Rqevr7^2LO5dt32TfaXCn&YL|JulVn!6IFRIUFdd^_I|1% z$@iFYj&Z3+pICk`f@2~ zn2?A=gd=&Tv;J_d(r1=$Cdu=iHEf|^bh^at<#CQjvBE%Ts)722H#PVz&y#IG}q?G)vFRG z(cDlMD3sY-v;Ugb3w~sP0?{kF7A}PnvFXk7%QfM{)1pSu8jA%#!ZmtsU+CpmA}{cX z49O7YwWTFoktZtLsBH2_3;|XmFJ~FAU?Ofs)IQtGWoaeS&!x?y)X78pgUyZ9Yb>iA z9`~)h#Yb@NT3sXOD*9rV*0lyXWZ4C`A?M$rfp|RrhKm)qXYfI9&3ZZ+J2JXFG6k2on%R zReMz_NwB_^1;c9tD?LL7XAA3_dEj`Q!N8-1q5W%+vxT{(9oU(d>}L-!@O;zENCx`Z z#ommUOjSx2BxGf42x4boVqhZU!vKLmJhlc#V0qz}e-8)#;w3Y&x3>l}GCDaqF*va> zSlJpgKIh`%Vq{`wWM-xZdeGasSlYjKrnj_v`qw14^9UQ->DxlA?IBi{pqqJL>sdM2 z^OBL>5c>7?*E$WIA-^eE+WpNIz#!wz8^-4hOpO0+m_5Yke+;{M^VhJSeEmg^=Vmgn zEX3K+TvZri0f-t{8sBpcRwkaGbpEebzgPO#P$fGG_|KRBIq)Y< zwLfSwv2*@O^N&}54836jEN^IMW$thzL?ugzJs&d<<9}=Z&rxc>hw(jUW&L~5pRNBn zLiN9n__OstN66Sh071OISsLH-zbX9L_IH0C#vA4T0fxVj_Olg$8XpD^<1g6qVGMPZ zdceU6z=;V9Dmue&Orz>5eywTR4T%zXf%(978$=|GP3@E71M;Er&l+EAM z)CeQN(O>p~031Bh|Neod;O+C;b#{s!0S)8@_rHI<^zy>LkMO_W1EU30?>u0-v;Jdw z>EXZ9M2p$I`>(Xn-ju_^mlhFwSQ7u+(glDe_5I6||NkZZ)cpVFr6lmfy8avy^%ID4Kzz;kAPTl{db^)HjqCv>sB~zYdd|vgH83_V+j#3oCgdDFq!12^z>(3_A3wIORe$k zx3K;@zU6Vyy1ZgXR>lgGSuMT|TkZt|Fn<%&^#0+~XQZU0=3CK(BLBmx2Om+zj0y&m z{+lhMfkJ1I(P9>lA1+<}Z_jXJ!-Lo$-6)FtsQ;bM+a>JP0_J+b_j!us-~B@z0#f(j z!Vl2D_wv94XwHhpoD1E~|6kYmO2NxZEsp1j@W1wI-v(&zouk=#{=0jFU_4-w2!H4M z@4Zg70Gb{ouea|1cfI|+P>>Wnf)QlT`oX{VY6RS6*Y?xy%YRo^I<-I(ofPpsvVT?S zf)haV6#Ax`|6iOvfMHfZ@fjU0g8$y@fAW>wX*`v<8x*UT!*=DMbjGZKzkwS7-Bj zneB7C_MaTd0UTLA!8v<#+nP?cGatg=$=GHRS9BK!{}#LN@JHrY(n@MyEsPg9zW=6zJrfhv6~H=`WWv#0Lu0FG8};7{F$)*}03(?2`xEz~XP9qpZ5;*2OD=wED`V$tc$TwJ_ zXDobO(lgpSO+5sY!MpT(U%TC)p{J)e$P@h!4;6ZeKyt(bObnE>d!?0&_Q zD$0{wG~ufBwD2+X$Qb`{!!MC{Tz;ommo{5BqhOwTx%k_AL^K+emOb1Y0y2L{9}No- z{%hv`DT=?PwO|RawY(I>F~gLYr&<_M){vTsO)vM%$tiB;r|&{~CR^cZ0~xB!#AehO zHi)g?>!e-cO$pEbWg9YdRtKRqO@kQ{i-%)695^%_bo9%bnrw%iPXuo~ zdV4qm0M;JtAo4D}aIIR$4q)$F0Njtup7sjs?F4`lPjAf79Bz9$FPj` zm-|X*WU^g&#pS${vJz(~)j=mg5=a2(Sb!MseINswRISR5r3Z|FRIk z$}dO(mOTTXI^7zui|qFR#)eS9!o-A&KO00XHt(i&-OTn9*`B_%Rf{Hm$n)d}YAm;t z<;(avoTJWw5uY zB?;95fZa#{;2~~&S`+fyj|j}*0*qF+h0Hv?v4tCka2|75Cak)QP#6j~vS!?<4DC&_ z!1NJLx^Q)BiPbFMDPZm`_r19P5Euv#9oWT0d<9i*H$NUEkF!z;WFmJYruS*y zv`N`T|6G*^^2RKp0!%s*laT!+zeV~__S#(m(5YE<V^PH4b#h~@-c_-WiGW+@h_kS-%xj+*#3Zqud@=}Co zQv6y7nsC!qJ(Jy%Bp39|9t4v`y`_1>@rxUG|0agj?^bu|wA~>qIBHzJ9azrTqr3`>!kO2@&y?7}m^i!8N6xR?4+08?F-Hu*;`iz{R z8T2SyW#OlF3yfooHPoKh(D^AA1(U7ovycQ`8loko$*FW zcB`2uCt|~YMws4`H$fXKDdtZqH$PVI0HMpYqCW#x>~G>;mu{c0>K|4-_y_Y7bO7`5 z&DBqCnNJpY@xmv8)8_M(^T4BrKTw;9e%c}uoot!#Lj|YpnR@tSA(4MrNgdz>x(Nq= zW#XZkfKx>6-hHpsVw)0v2lz%e+`~BZf-sU&X z+G1D}?SIVkS3eL35Z!kLrM*c06VAUOar;yv1?(jia(1NuPIT(VAUT3Dpnr?-f6#7c z2OQeO%O1afCu*ApXmpB`=HPY%`|sUB|Dm`4MfCq|!D06XC8o;Un%Z9*1rvhkJ)+2t zWXWj6^Lt{Ix!)vu-YWgtdVcqP%>W3hn*`4CA6p`bX?~L5U~OD&N!ihShCU?Z!q}rK z|4Hq;hxgsdCfT>5V#ek7R=6vdRQaoz{J1KsJ3+n?7dIV;4>Tnvt`j8qRA>>~@DO$6}=C(?^z zg@|RBkT3Yh*BS}-nLPSasC&MEUM`sYr*3lh8&CtJ+L5DrG@kMY#*(`wrZksduTe|& z<&x}~_3Mgz%k@Dw4cIrsRvvv_@P5dVkr&#TbT7I*EL;p`kca&vfYPED(;V)EAzwAC! zV}e$fZ4IlIF-COXdBX4dg2EF#jZ`3mvdi+g(mdRK4QagM%VxVfr3w6>lK2eN{?x|r zvT^v|?m$Qk)}Ld8Eo!lt#K-Mq#Up7+BNMs<1$^M*&}~6ip~IG%QvSl}mohy-_}Y~@ zGAS}^He5)DjDZ{arA5?mdXHW{`z6UQ1HY0&=(*%R6y4Se5RjUz9(5w2kac*WfS3 zVVyJ{irb`kpq$}|OpT+!Q!4fL;6nGj(ruD&qQ)}%37@m@J@O|X9cU|JzOVg2{P0L^ z0}OF_ohEs_eULp=(pBAi#f$oExBodcmWF%|XP^8JGRU>r*S8G^uXC6=%!<4&(= z#sVWtaE7iXO2^t)YNf-o`pkuk(Xv(Z6R;U^7Av!llZYt;Jar(!B4CHZ3AJUON=PIo zZDnT>DM`$Afk{0Iy;(;bIiUzI)h(+2f|fdh_hn&znfmv~zv0&K=;WxevAwL&DE|A~ z`sbKNe^RA|+TvEd(&9&h1IR`Ns36DG^Exl|BkuN#i|m-a1Wv==qa zg1XNk9}>Wk7vxnaQ)e@SQgIc>N$fTYEIOTa5Q%P=7D_(7Q6^@>UJ}M>HgRQcD3xrA zS76*}!bHAzI_Y$Bxzf~e<<({Nxf(yu;Vk#1kpM(?B@M4FULb{6&{rrQ%pPU7y@?~s z)Rh$dt+t*L^NZHCfR)R3M{(G9BygE94kHacm^F-$xZyK;9=7YnAOa4r6T78*Bhz^{Bi@4QCZuk4CrdKK?P|%WYy4=-raYq-n!$ebFbJG= zQ(|=cX>?h{yR$~qQT;p37X3)S00SUtK_A$3PMxi*e`W6=Rd}s!(Z>EG`ZL4hDH1&H z=7$e4RVPv>q)2$qBk9gItx6?)W#%p#rDZDhJQ7SQ+UB2bhhj+MelR|D_{`HMg*9B_ zP4D*IGg;aR(a15m;o4~&NeujPp<05yV1|OEVJGPB<%RYK2DR>WRb}%pUoyK*Cbtdd z>#ufT(kVYustr1r2U-Pv)f%NQgrvdv3ET~-@& z4%9u}01|90p*_Mwd4xStaYrLhO0ULJ&KaHhAk*0&2$?kIkgVJhjR;PLcgIrU1wBO& z`9Hi1i3O<{44@5s&q3j$3_eqfOP-a@8OdMSW^Fvbh{dBx@L*4zZSCE-TjuGSYy}on zh~G>XZ1k7LT?h_x>%KG@9ov+-A6g@2_CDCnD8LBvO*a-ra76apdaC2%qWAQajsS<6 zH=!xE@zDzJYIR)3=~lSD!FKRvCN-4e08H@eoF!lFN4^Tq!_>54120#))2%(};3Pc9(u zP3&w-Mtxfk35;46oz?fDI5N1@yNYT%=T_iQj=ZjQt(wrvmBXoC&S+-dZGkWY`>|AO zfQO5fkM)u8vX-x5qHAR&-*rD-ywBc`eVwin{?QmX-z2wbsIe~}F%0=Y4hD6z>(tLI zK&fsGx#)1eYHKWvh>~84qHoaoV)kIAM^qFj&V2gpw;)YfnsbVbDJ8HLuF?>xcC7(o zq3q$9a9nnu9+;#g-atZOVQ+gg^Mnn3jW37KSKxSz=S5E%#DOIZnrf^68Zj(s5Usu`C;3 zVNkCGF3U*6DV46iP&;TORX;Gk9;md6RPQa#=<6+@cS~IFVONlHMd{ioXJO8OK#U30 zF#fc2(1SdIB@c3z@m#sz!4+r><6=pY&A7`#1~b&IH{ZD7%V>9!L_xi5(%DWgwizaU zOz~7gsvsFA4Fn|C_+Wb&md|RT()VO&b3_SU;ekD{>lO1asj7CB9rS?9uie*90qQ}$x z)|vQCA-PdGF|2f*H4CSbZoe;CTU5${j!iXFq|k2HYd`VuEX}XCrs425( zVW6b4A5^4OVqe5I$1*>81IO_0U==yu`J>(v&2m+H9Q<3$1j*Au(ir8NUq@;^hY4h-iVum)OoCFI~P~E+o16Pu4msHUfi5x?_*7hID8mC zErDbbKeXCql{G7_BMaZCMw{?w1^qTNeb7z~pofdR&*3)q_tt#&J(kUmc~!C9Ez>(P zkB*)2C8AsdzL}bfmZt?CgS;wPz-cmp?0K|OGxMf|pz${$jlr(r(!;u$#Mid2E9DZt z_ykNt-6@fG#>9s9*8+Oj&BjxsBK)bhl=%5AhaECsZG7A2IX#W9PHkQkEyO2XOx)nY zjG3@qbs(zG+$}rzh0d;(@$XGAPJd5FiOU_!efBjmn-a!tcAl?YM>*O*P}OCY1hbgIc3?y6W>vp%=Uc}2qI(8=k>zB zW(|>>7D@V+Dw%#2kEZ<=TfY7Ro@ptFnnE?xLd!!RZ`B1#Svj%j+3H89tK6){-5piW zjkVE62OXoUi^5}PX2fh-W8qplypG*?skLnV^@0jJjp8w7Oj5MS*5%9hdR6KmC$~RjJKV2#^%k#Ivov zW6(8%d6xyPV_N|Nitp)U3p>{j;ab()YI_6i5M-PFv@Y#pSsTg2hi$vn2dpy;QP^?v zxZbFx)a>2mp@yw)XQi~V`MEk>Z0Wc9K$xEq)r4MY%SJ^(xC7OX_Y((s#vx{2dD^7} zMhbo9L(ff%SZRF-&om(e%l#~OIybtT`CA(f>(Qe|tbNi7gFRJ~&Nql%jMuRC4n&>& z=u|T+E1lXVvRR?9TAsMaHEe^ON;LCE`j*=*-fUtl&QEVzd2$>{p)bku zmCtQ6PbXKg#LfKsOT>2yeDRQPkim-J$;^p|sr)p`GWT4Gr#w|NgDHD{spos)qB>cdUXfz+N>60Arf?>YN`N)?B1mzzJpvPAV9eqkh-;Q}yCOwaq zoD9Z8?;DJy9xg4vss~C94=yK4GG6DZAEmjBmG`oyte=+Pu)eZ7CgBS;af)}kj4f?D zm^KnN#f_gX9LxN(6at5kgdo|mlHF|lYdZ}@b_G%|?#iu5{9drw8S-(hOrY4OPeWfZ zT`W^-8~gYf!h&)uVjVuP%G%5H;Yos8m8s;w>RT?WuIP&dMsW@YtF*Im(e=R%V^-P< zHQFvo%M6gInqWyHmadI+o2hLhOd3o9lMnCd$l4N9G)yxrhX|xWbjlU^vxW`hB(81e zmLp^j{SrZnY{ssi<&BaHh#a?ReHW2oy$xFEdtE0kOBu0lXBmz3jZ$h423HB#-XCv! zKQ-T9(i(ep-qv{TB9*UNB3U-Yb)fFD*$^UCG#7MDxakmVscF0EH`p5MF`zSWsXud) zjE+IX?K-8%RcSUV**0D+qruT4hgg1AVmSF$%XYfHek1b>*YWkBR@#(B-~Ias(2i+$ z+u;WT-9_CI4A99AN=7NxSXF+HQ#b!i`#1@&ebZcy#%5?OY8ly)wQ$TseaAnijbBpKx)xo0qKy;Mgu?_>6 zuOe%5V;gTms?cdN>8f&-Kb-gw+=}vN^z^0@4&Uep@6{CVZR>Y(>&wgfo;a~MoJ^gV z$<$`@%NMRYzR(SZ{Q@1=*{g#Q+p7$EDfZ|~AFZ*6X0F=M>gBJ3O99qy@}$N+l(X_# z{S(>u4`cGv#*R09d1Vmwzw!6Ur+FAwpB8&iBiJpM-XN_{ z)J?|Kde^BlkPW|WivS|v+^2V~_dO4XJuhox&0TL8vt$yaykyo6z>HcgUME?hCt|QL z%zd{|--Wa6AM8y}AiL@$>I9j}44z(W;4qPsuyix^swU}SC=o&AiPj#IJDZ)E-V)!{ z&M`;Np3Tdw)hQfG6?*E#U4B1%B2!uCxU#mYT5~ZlWLw?-YifY_bK?zWdFdp{dtqlu zgp$`_%~5fn=FuPfwxqaYJa;-hPH`X^%NWW+PtZ-sZjj!gcTg|QG>ON_F9EgOT9b5% zyQmGS8I3mTWiwTpL~6Ik5US5CkXSB6vXj9{U|Y9zEh}6hc&pC(IKK~ioXZ&6h2p?^ z?gQyd_`V!+)yv|tj-~RUAQuK5+h8W78!{G4o~PtHftf+#sT5B(N-d6&_bjgoAHC9A z`={wDr+DpWyfpE!=&y)Doq2~zNFfo;5b1GwCN`953?uGD)Pe=vlv`gRy$pOzijI!X zY`-F#t<>dqmKLh%_40v0lZ5V9f1JIG{XPkM$@H?u%!0Avsk%>UM)9NO(Lnk5kp^2U zEmOF9qk}1!w@^7PXDQ%#cn!H$2PSiITz>r==CC%cT;N$$$ujb~ZeylKrt?db z)28Lg2Ih(AFgfYar|cE>O#1+Wwt_MBuY zjS){S8ldvBuQ;$Q8ntO#EW8yhD0)}2pv5v_f7XJy`!3zwZ&1F$7N6sN1Ua5$np~o( zqObDDuVmd_r8(02oEKLi3E5W_G1GC7tme7yD4?p^!(u-eJ6EPYEiO-YW?m#aw!yu1 zvH~{vL<7c2GZGy&RTc5)gx>?Ao5-9iI$}o;_Jh-*;&Q>Zyc#2Ivtwtyu7yQmH;%|;$*vSrlpSgnQkbujx1(H|xt^&t7&CT5fDmeXq?lh34Z;bQHojRq; zUsE}@?K|^QUd-P*78JtSfY^2_88`lXD8<}2 zsv~yN<+ZynQG|kYMZ6XwU8tRvOKM};_6%8Q&hURMN)xEK2j7P$`n62p^wk31)2uoJ z`qCuWQngyiBfhSQH52;SdYRk^n%iHNFB(uE=<|){^zA&@4B0d8Gz0%f1PxGRuzCf8}3ew*~>_`nXEZ|ks8gC z|2o8s0c}Owo5k5iE|D`nJTMIXR@VRMB6<}U709vWCk}><2J9x@V&E=cA@*u zfExs^-BNF&l>2q7<);|hNpDghq&~ynAVk3HKWriPm|tp=X-8yppr?c)Yp_mI*ZLQb zM$JyKn8M5=wOlv-;FFUEb}>&7xD=mv#`=f-v+TAY>RsBH6GyTg?Dp^Hc>*9JU;(Re zHjn>29QnUa>p-42C&aV!UDLk`dABj>ZE*V28>T-6giZvy_xJ6Kf4uwcE*Gr4KcAi- zRdL^jIdI-}&#dRh(N7O2`O`JOG7skH&udN`rejeWwq^2WTHRzJ-ag38!+p@&M+@!E zY4WM|5fL;RWIgOY+41T^=;!x3nonBffj}c7kUB}dT(kUoxI>}D=8%1&$Tn9PHy|_) zGxybETyb?y$d5t%Rx-_(ap%8)0pQRbxIyT*J#M#r%a%X^R?N6SWayHyz z-KqL=z~i{#qgU*mFe#G90e?pPHxdm^yE#XWNDlZdWmRwBz$r4hwI>R^tQc)q%U)hv zdckWsLE!>KEg8<)S#*ucu6WMt1ARa1`YkOg=_+iqBx7)yC|wxXR3J72#i+eV{q)ye z>Zex?cJr9bxYag_D_FOI$fINXR?)Av=s3ks_KaG-T%2U`r z?yG==q~9R(!l}1>(`jSsS29FidXai!MDADXy;AA&L3>-pC%mXreMux2BZoXmB>dao zO8TavP&$a+FG)^!are7D%)e_s#o6+dHW8Jt6vGfzA3af3Q-?rIBXIe(grjjPOm=VVATV+)Q9#z~f_cC$k`Ux+7fy|4gmDqj={rF5e$_Q~=?r(L6Z0F6kb$?Eigl zM1b?oN`#gAH%G2E#+DqB^&VH9n_9vf=(}|FY5&0tD{d~=lbG(yRmSQfW5QLStm#%T zdb(6kVz@aNRAM&C_klsKn+q0pP}h*gYO2+i&*6IVOl@~ry)-}8sBiYDAc9&)eCvs8 zzDC<|OGD!MVj^X0%=GR{w8P?yq3F8Se7fvt29#n|HTa;0sT<>EZBMReVJrqq>HHae{59e? z1sCJ#Ekp+ENzMps;j80`yLQQd)qE7DY)@})UXunDjD7DNytqKIoYv(VKc`lzcymy{ zsJHCl5n5#!FV&PMHVGcQ@Of$5oI$U^il0@Rl=U(fH$NPR(89PBu9??!SIYv}5?Aq@ z%x9hg2dZqFGRY_J@?siCr-r_xp2tAB6X&sBUTz#f!Z+*!9l$-N4m6$QW7;NpQW-3s z>5hpvN7wAV`@jlwR8Iu-PD`2UGSkL?M(sSr#hVPbYyiKh09~(O$Ww? zr>GMPd(s$&5l@~CQ(vIAMDoYj@Z|uMSdRP&%Oq;dtfQJwrL2~AM-vs7@{_UQOI=Il z+`?mIxvKREtX!1^ECtiurDp4=Zpqi{%%`urttOap!H(F!T;C0vL6kQ)*VFmNe&0cR zfXPgkSljx_1g@nrPrFV~yY^b2l6xr~n@Ux{KRS>ZJ}~5MP;}Ou$YT4aH0jXv2Ddnr zjv4z=gdxZB2nLnU?pJPt3Fyq4Hg+mln*I9Rl^bmEY?pbPR+{Bn(obaETwAf)!iC2) zhEf$?nHHZ{Sd7!RybX+~=RS(RthpL3$Uk3*-reu!3JIxe*%;$@!1{*~0xQRDy zA9=8bTlLHZQFtj<=t0D6x1h~|I7<#D*RKb%$t=)YwfY89qGztNmK&nYx zSPNyx)i#HYlvH?>=x+CGmRId69U-;?mYpm3(oB0X9R=JDdlBXzCP}R>W=&jPn!Tb;&>Lit)BmBf>2)CDcdcnM#%IC_VD{Y&y1gXiID`vAj+(O5fsbn4q_c$6_9 zc}z-$RYyuM*-z?RlvQERuo45)w;NBSD6Wo;DTQ)Ab;!Hvo&=@B$8eAkSs<7dN;!Wi ztxn-LLkXFYAfcpkYQV~(A;4KRcp-(=6Q+KBjEgm#HCt!o@3_vEOG?u1tejMRYB8~Z zWM%1mg0brC5|4ez<0N@*8eALRTCT#NN*Tum6Rb>bj1B+f6n2A};EIA7~Z z?4~{(e$>bU6nI+wgC4b|B*gI@chh~wvqcW%%ozDOBzLKzQUo0>*&7c zSaBOGnj_Oy(Z2g3%aFyIDwNgS=lQVPh}qOO4{bSt5?icqA^$}zP}7$*l2W5m;fnQD zX9g2{^Rc+rKfLdu=VKTr=XlPdBH@=~*wfe4#wcT7GCRtx=07W*8ywV)9ckyOY3^f4 zU_i{Y@MzUh$&FgID8*c}zUMSn{AvRK_~@8V^%6KiH!%u}iowW`pQ@8acWOd604mcAPCRx&=uwc2wL_W?BIyUB zELA*R8zfiE3ZtvT@0{wb6VanqZM5daVZwP6MgA*b#aZYkX`xj?UK4P#`&~t*=Fo${5wbL?8kxSDBCM&cCip zfh5+~%3^#;*7Tp)yVbEwXIP1CgTWa;fYW z+nXZk>?0`Jqa(ISX%k6cC8vB>E3jn&3uCOI0~cONXy6B)USmYA`p>BCCTgO>h9Lfq znpzNQq{E_0aO4Xz41AHUd?2pD9=qH4OharPWnbtgpM~6Y?r}dlepi5;F@&~8p!JF2 zYU^pvNvu~WRtlQo%`Jxu=GRI3MH6bdW`(g7{iRUM_Xe3JC>pVQth(6GAmfDn=5YUR)viC&g;O z7Rv~;y584HM?MD1r#$AImo3$R zW`#AJ;7pomaIMzxD)}AodQ670cocQgw@<9c#*3=yF0cRN15s+vLiap-j0gNoMm2Qz zmwHNokKeHvikBMo)ZI6-rlqD9i=x*s>MfAZ@Q+~B;Y*2PcGY$bvKlWEJOa{X5r6ED z6jEVhF0Zzqc($qJsghz*N=Jl|OLS^EO)nOTw;x$dRmsiG_eoDHR@)kW2nxc?xnwgN zZU52I(MVlLsa&Y7rKeZtsn1o9QfWC&Q|q+tm}{6$vekiqV!gK@rdDI0?Uw0rik-7O zY{8m%|I_1uGKP;@$5rm9wx>svRvD%vIn2&G-^*&gJim!@%#qEFx<9>nN`2QJN|C7D z?_?^XVRKxukd3-oF*+8=g867_w|m6Vslkok@u156V9ptfZixCAxEwYen^cmc)*@-; z_)W#Go7b3KHrn|lE5W*?+<#nP1izzR`Y0;Of28w60baD$)*?+LZjbplPotVoemj z;Ihp^F~_OC1tnU#;g(E*i0`8$;1qqc?g;u{<>r1KSL4H0*w)y}1TvStRMSh8?6Xo!C7U z5%{h3^X%0qMifVVPOB;^uD{Ack`NiMd8p8xGz^Pl<Ue9=r>?fZo+b(*+Bao9azsE&Y;1e$S z8mDcB`L+C6Q!?}Jta7VOQ^b3lo%h9pbVwV5{s1OXG|oDs1kuuY5j_V;M*j7gpeV@~XXA=&IbduGj=RjzfdA&ItFK^9?I;a%tTGHZQ6Xddw3y0^VvGeUlR;g!0gRI6YzWM&@@y%kKTU6 zrjJ>lQ!fslUt`! zU{rSp!SG@FOrTtg=3$7j&-WLgcEQldcT>xAAq%nAigczuHtkG?v=0pl5u&RI%zqM% zQYv2D0`M}E=e#i1bSN)S7>)%rhQ;xx{4&F$#08CF_lvZdYS(Bqb%Nw1ZoUY-lBP?l7f~5Pe}~HK9g~cb-@ae! zyl)jySH_Dxe=S zXXrW7tO56F+1tKn&lsFbZ#sOSSP9gJ@q!@Ws}?aX_@%|cqV(N8!ixOF!@H=H_*?Qx ztFs9XZ`Il}aYcrnGcoc>iA4*H5-zJJy7~)@WlgCv9Ag_eE}=7-%3l?ma^DJMX!E$p zrLAILzXJi6>vU~|RE&G&%vZYr2fA&Hy!z#ACvO8csDr;itm@D5s&QL_)kr2PdLuLi z7UFiQw+4GXZ9W83udZ^>x!JMJaK=WEd?lfis)DxGBDq&VGK@u5jG)asZc^O6C=Ou7 zf^=r|_lAqC!V(NMQ%uOjx6|NkDcTENLg66hpRfsheV_du2PY6{0-Dse*g@#nbioDg zXep&2N~}wwI*(g&13qi1WNy$s&wa*j%YP8I}h+D zut+eb3}d-I>e{Ff@!~cxY4IPbLls=|7sWL>jie@hDj3SC+!ZC5DaX;8Y<@pVxSd<> z2Is$WHQJv2iT1VIKQ>U;O{eHxzv4ahvAw*Wuvx8TtrgDiu#2KNEIgvpnr6Lpq8C6u z*i#0YanYsu)URJOtS@;F& z7xKlY*GzZ1`|**9ps@ElCG0G_D?gd%^;SJyn_9dS93XLv^|w1qI^RzoIU&}Nn6UGL zs<<#nx2II?ex(am1N*b!A13uqMcaTq+HS$&C_5|b8%U7(2cLDM=-P_^{>b}moayG$ zi0CzBytB&*3Bxn0g7u3I&IFrW=eaLz>2Qq<<;YHSV!({-+b1$+x9b%q)|K7R;n+o}l_-X^!lDsja~#mU zTnyUAvTCFE{@9jF@?LBMZOB)4VuhjC&_PBR}Bx7a+&a%;Mp)ac#*xIBz(5#WdC%3K8@OQ^4E^=sGZ?*~y zc|qBJH;l>dd9cLAH*emgk#S2V$?mQOslbHV?Fc|A$ANmvnvp#j3a_xHP{dyC0&!t| z6WFuuB=2Bz6puSe0GoRIc&=g100rz7D65`J_OCylWax|(PQ%e?2(Wi&Ynobh7sux6 zl^TiU4c+X=X$er>bQ*x z$inJm(3y_Kp%OdvtYNE$aRYHH;W(ccqf|*M86&FPj*&{ns)wMQXUUk@;*7~Rw5LIy z?&T2M%s?RlMZ+@F$<3pQ^qQD4dP%oj9rTvxdvRyDCzCItuusPN><>h;-N^RQmkISj!& zX9Y?j?|uNb?Kn+$!^w?|25!e@8lB3fl3H&?@d@Wd{0cN-B6dXvudwWOWv3y+^}R_P zq|~ORA9u!|GfzU;vAE%C*G7=D-(xe0vEAn{HLBR;JKr{B*f>E$O(pmSA{?#t0rpI&({3nVjpOa@+P5|~h?_oxP}I%E9X(n-VR5ceOH zol-dKLz;pdhk5AgTIEJCUP&l>J=8-!I}KVg3a3{Ad)s$QY5;14r((jdW*59pRl2EX zE^YsUcJ#?a;dmEh9sriY#&LS)I^%9dJLYLL>)*^aY$n=CQFG&ZC>Ow|kzlW#;dA-z zrtZq_zmv-UWOP|7j)y;q9l85CUDmuKI>PZ=ixMCs8Lgvd>E`{q(dnD0y$ULCt<-RE zbR%&+dH+JN_V)VPUks_GR;N&GlqFiS=kTnrzLW zVUyf?T;E%XF$jx-V4D;|ug^JKr@$UA-iJeoUbHg2)=iT3g-Z*l4-i-D*bizb=y6F8^zGeRz~>k;C#c(2C48USzOcjZ8gk_ zH?G+UB$aF*m#Hp@sP2h&n+HiKCwx(z4l|DJNLu>-r6EX7T$4|m8Yz>bhaj)l<+GH? zn{?e~EwIq5yqC&dNv`^5_7J3eYe@Co`QKL;-l=_`X1LQ+hJ=aOSr3Hwra&QE9{Ce9 z{c>!gE{U-q;?iDjH!{6kv$Ay}b_njhy}U%(<&szO-~yG(P#PKAL>fVe&#a-X4@(rf zue5CiK)#TAg&=B?OgPj#Ng*gOFq+@A#Y2lrD?9pl_)yujgxlhc=3rX&b8W@!RczEM2 zWuq-%@<}7kZ|3XDiI~8TZrt~$iuZ&dJd;uY9vk+!8XmK9Av6g+?V0qA;Q6g(IxBV2 z4_R2!Bv7*gI93Fq8uVSK%zNZQsbYuR^vkSgX!y{sMa9LVz~Kc^m4b9AHLG&;s$L0l zOFo&-aH6YZ@RV$gda?u6mi6Sl;LwPCezY&f+|^i+U)V+!Gkmg?!Z|Fk z9ILN>7_v3g-&OtoRJ>J-K8PibWf}PrIz-5)ZWelNTCY!JbV7`S#1Ey(^Cf!q3Yx&x+&X0Q5NH8w%J_UiNH8TcgQ&f&DB6d_nuKxm zpR+o2OAz6f24&Ms9ddM<`ww5a`Vb zeszX-Z#uPdnW_c*!`e+Tg*D#$RH^EOSCVejmhN_5l;OzIaG4-Ffl`3g z%5C!vjwL*SVxvJHFdR8`8}{z+8TfAY&-Rzu=s4FyZfX7x6b8(K6DV0OF^~|Eu+yCS zxc916?M)n`A;z`c$a989$*x*9k&~})=#j`-#E|}QeFG>;1Tj??|8--8W1q}$7o#-7 ze}9kda3|y?GEq`g!8;HVXJyhWxUM>a;a}4cdO*7n0HwtH+>f}b;NuSB?M7TzuU=Ik zWNkK0tbY|3;h>i&xqTRdrSUh77#0eZ&@xS79R#mvIN?=PRJ42(nVk;y!```hVA(R< zFhv&c3g(X<|HCl)nHYE#u>V@cW7IppzH{-^+YHK7U404GbgI`@tIC4UHnbZ2e8qu- zrP`edj@>Nbh*Y8kG8w|2Av*SfvPR~|u2;GqopB1Do`N3QtH5TL?9kE${}c6K*g4N|ko95SHy=oQgCY34!M zwV|O2S8*)J)ZE9?8v`3R5@^48Vzu@_u5QVwgoNwU;EOz?OB*tMnGZj4nZRw*48dV& zgurf=J4`H>@z%Wqh!KPiD~b`5b=J2NFhIpDTu7*QMURkT@;Z%+DB1mJKr-f?2-kcC zIKTRBjNNQMh$emi{@q@5gYKt6McrL?)Gi!658}B(InVz;D+N~bMBsCdt-@;)Cn<`T zp_Fk#EWmhS>Jv6_QN1|v6gR*3;7FJ4S^2|flA4Z8*x=%#lh7lcOd#V*iFA1f?;{5f zc8xL-*vZz)ne{wQC+k;xyv=iYcLS|H^Z5;RQjLbsRwA6M4$nc~c34vAu!`WCROfVi zl(eVUpfV+mA(s5t!LCLu3H4LZhz;7+#VpQk*BhETdNG5GT z2iD{3c|HfpJ0CL(41g2>!k;-daO#q&Ev+PSR|=`V%xY}uADPZ#m=NM6I2093BwCj@ z?0>DW)$C~~K==wPUi@M(<%)biAFOj!N@Q#KwR>JD8`HX2q#(1q{Wxxm9qXYXmw1UV zus!=exrNB|fcW6inrL|yQsBb262qTak3xVrdrs4tzA1da>mu^G7dQgVM=KrObl$or zUhIK1SjK*#R+qZsJln-@6O5(ZWA@#M81*A8eXRjNF4T2gq{mkBX}+hwF|QO zRhp9^W)SDlK-A8!+tT}vWJ4xO!*!1Rr8b$TC>sZ&Z0dk{;kaRXX*3tbr4a-EQ!eBO z6Om4-hiu|!KFYVhy@|cxcJAD{G^nWr&A9*GI&;sdxIH2P;Z^mD$?M)mhIvZ}-Rz9M zZV)s5`+N89h4<&^BygMvrsZAM=gG9AQn6x@Kg@FSBKN&@11c}8i%<*77<+HEA;b`b z6noH-gk1?Ae)P_W##dycQl{32-Y>2i? z3nCVay6WdXmxg8Bj}vLi0ZA!MU^UK;Keq_)Uj~uusN?XVCAo29FD&c&k#axiQi0{& z6iTW%Zr!g;U*7W82GOab4n2#zX*lZl9nfkxAp+Ds-IHe#J+^UaP@YugA7gDcF&y{Z zd)ERncgI+RAqb!z%-hxvX9TSKD+DJds$MC>S2^ypV#G{Gvfez(GrTfVJ?CJ%4zj&u zPFD_w727Jv&EjWPyRFZ5mJHfWSdB~JDAtC`O>x#2y8wM!?LbT~O9#k;+S05qdnT#f z-uxQOTMdOI(Fjw|gG8DLPR&Z12gu&KBvq0{LXzEwE!`k?CPcKAXCr zYfOJ<{ZxqMg91RuXoP@^Fq(S#_PchuEESW2f)p%v>GVD}W7TEt!!{%3d1H3tzK5M* zQ1>1MTF?F-7ATBK{Of*2C2_NJLZ;yE?aC?f41`4qb~6k zOmXuzT_M5q=b?AcP!6Me0%Wf>nxdnWuoa1VjE1r}fOjP`UjETTz1)WheE$d(eNaEj zG7uCAUjP*C-p5MUdzC-d#d%v>!DnDxT$iN#%eIR z{3L6mXE8OG8)UWx&=(ejnLMY@?X=47Ma0B)J{X~Y)`#Ud!z{ziqgNW9nVFd~+~Yb0 zh^%Z?7=$cYbR*hR&{pNv{mRyud>-H%9?SOEeW;7M3GC>Y<7Qe}8VcFkd9YNK20)hx z%Pj-3pkPoAf40nb1)OcV?4SVnQJTmlo9!11(skdZT;{{)H&S3v5Ol6dxcwK|XPQdW z$y|`9K$;@6FI$T%UNbBB5INo1?gri@|2@w)p>LwMFnvh5lT)rF?`~~e(^R3vh!nK1 zcNzc|yIK0@73J`?n1h(g@dl4l=XEA1--5*({c@!(ao6Cuw~@c#ieJ7z>J!o7(PNLJ zTDa~E-(v-}rB1`45kKLJhF|zG1&`}$H|nuhp{q?on%k>QcR*kb<^sw;zTn0U0FH%| z1Yr~}mj|ptPXroCR);Ini|9dn53$caGT*>ASPl zERw(9^8Wi$GKqQwL6l}|)GYE6x9ZC-->BPs%5l+G*HbPD}17gx{K-yEo`a^b!-am`!4nAR`IC~Z(DL05)$WJRgydZ!EjE4`1(T>+uT4* zeQ3gXj>ALuP2;L(iFAs@o$f;x1q>3wUU1=Z08RJOU8wWa;GipM6~`DT2o^jiIvJEyg4msv(U9vkAd-AdDpa<9#7#^U06Xah zND!Zb91%650Bj`-ln5C;)%?uMG+h&Xhb>gXHM{nE3xmBNePh2|rNzL&*XCezB7W1J zk(d(rDVG!bZVniIW5W9&svW5{mSRZC=@=h-FP3y2w?ED~BC;6!kqD@fA=((ov%x>L}=_48WP>T5r}WsHM7f&R8te0CeWp0n8-K$h6PdxU(p| z6}h*>5Or8-3(uhA;7%^-7+JWT;yu35%<#TZ=O3izDlY!`hULq?*h3J7P3_% zi82ofdy70Pl{SG^Z0dK+&QY7_1G=Qz?`;-No!^Lw0ZI%0IxBAEXNEC=_9WiV@|ju% znu{QfC(cO9w)OFsjB2LczZeCw?W}&=WKfy!XLh`sBs~2#q}ljN9Q)nYJGJyYQK25x zK7BUU-&JOgS z`!V>2inhsD_)0BzyD=MX`f@3P!v(6lzLQdMB%tX6U<&z4;U6q6dnOdIt|#RkBPI5g zjRTab@)ly9w>lbRqKV#-$^GXu(q|_3J{2z%Y(fl3^>@cZ;UeV&s=S%8{Wu)~SsQ%F z?)P;K5|pt5g_m#j+F`a)g(Opomsy4{s#+{b)+`%homji(8fZU5S;lEZ-G!SZHKDS9 zc)x)LB#t=R(v+2^BJ_8GSTc(UK#K+E3O zDF6^>@i!$qI{5Mm))O@002whSHYEOTWMFgQIY2s6A?Zh|{Sbg43hHeTWODS|nNDQb zrXXzGR+Zp+Bp58Dv1_RtdS-Z{0wFV1GeWUtRBID``B|~gf^g3Feb5uZ zC#IkH5WbI0FQ*ROF$+4$sZ6$=Uqc+)%gHOt8&=M8?blU|(K|9)X?}w< z<+a93x%gs5a=Po`e}!-Q*R#uD62kvV2>(9nEsH4V^quwm;+dTAd}n+`+-bn`FjCl4 zn_0#i$54_-rv~GJL(PwFnL$HJjyU+R(#sh%_~d*@8oF)tV~y8oe^b5lCYOoFreT!X zkI(2Z?^psEQUYCc?8NCvtBPdybT%ph`Om63<(=#Po}Va2jrLk=)@l&;d`;H~MpUtz zm&31qgHy#k;<9-FC`TqUMhSCahPvTHCh+7o_QqIt&5taEzc1L9>X z!{jcbr!v7ot($_x@?_0TV!{y{P#uSWzW2gau|3W(_8O`3Oy0$*7eF1oiCFdNfd(UM z`+n4Wh&KpS3U=66`@^oYwnA}xrd2qx-R;!v>15{J`j(>p@9w-!SDFOO4E%Q%mmJK7 zp7*yN=@KHS-Z#e0DaqcaH+a9ZT{T-Wo`vYA<-aa!~ubA#c2K7#UV6^4KY0e~c!)NT{EGJS&gogR>Pt-!h^@Tmr{M_6ebJm`wf}@4Bl*P3qifA=k}fIIWbc2eS^1 zUIoD94n4$&pcS`-=T7VC-gX2%4_579QALjAN}S| z)mYWgk&C5C#(%N}NW49pWTE*~^O6|z3pD6kLO8X)}7xFS`y6kSsLIiWDh-ICqRxrNtp;y$LQ)e_|?rvyInvXaZxRGpYX-Z zJvZk(%fxgO1>m8NkU}|XiUoDwLM2IlZGWQuhN*&r!rG5-VF`1i01DBIK&dxa+HJgA zKLjMO@hF8*;WWUWvZeakIJYISJzIw*Lj1eqA5mX$YA~u;!cGgNE0xrY2Iuo+ps5EQ zc_r$3CbnMS3Q`R&zg?0(dLQ@MvPA#UV}9S%<=s83aa+U1aoh9?xD(T*yzCs+QvF+pd(Fd4}rg%69K5^zL zO1cwaK_0}l)H3BI<&ZZ9JBpl`mNl3$A@nSQ(ku7 zYeQLCU!$;b1LF9!rdBPx0%L7`z6T{_t}qpzg>;+Zss@)tX`*QH#Su+GROv?1z%g`V zvA2~)p6XWjh&wpt>M#_1W2i(+eZcv1xD93wiPIX`KuFMJ`3%M`YOZcD@M(%YlgKzy#2`*EQho7#KJ zBSJyTiSFa)4CmA)wik!44Gj%J5(`0eM@daB7IdrX_@ER;@0(XS{PHW{FOMoL zJDA^GjP^>6YeGCj}8b z*KI66)q~2o@WQwLGKzY1`fhA7zD9zr*<973agZl=_ebnhedEpHb}kM1)@M<~_v|D4 zp3m}iuPF;cg+67fw!Te?BGgF;k7EXeymBrgbT!qP_|Vs5^>wXclw-z}=d1^dmdaN0 zs5!}BYVm6MQ+=tj;J^wyDzzFeM7Vzt&3~GH1QpY4S)qWjB8>GZTKl}uFN32+7c64_EKn6wO~LPHyX$dTg&Chz zNs`jtP>=_zwy*C|Pn>3F;ge5hAe5|T$FxK$U%kxx!0>FgHJ`%a3-H}|Pt7t-7!@Qg zTlW!+RZ~9;TbnqeIa24PCRn*gY}C*15}~?aIiN1e<$Vv=z1gn@uO)o7czTr2dI|bla0apmt%(78+8Nr_IM*lH-w zJfHL7Cx5g~xeSVFyZCR*-~MfdEnGW0A=09v=rP}#wU|ASs>|cn<5~;LzQ8EWCb+*B z3Q9#bykr|ZYoV|&r>A}JvjXU7Jms5Mzgi8MAE-I_X+uJ%bimYjt2%^-ze#{f!;-;; zQDi%dFpD&LdXtx{fY2B2Xy*rGDw%wiTAImr2paQnin;%W&L?>jCGF_5?1i~k^ z$Yp)U266yv+kwz;=2=U0>ebBE23|}sq~H;c1WoEiVuqhbaA7ur!OnjKKgRYf?M&sY zd(;QT{Vy@(tP%?8vBkaBs2A~DW7?iO%quX0>$~D$zlZ#WN#YM?!c=oA60RLaE%SUs zBx-RyjxCbZT+5S-i*>4Sdo2E7_HloRlymn|*oV`O`NCzfxy=T-jEtpuer9nx|8 zn)UjnU*4;iw#aq1#Eck1jb;NjUqMdSuVO@Jnz0VSMDbM@+a-yYiTPxDO($9IGp>*RBC>!ol)JVvOI=$V|~uf zybwkn`stkeu|rAB0@F}gB){fmw-t<%{f}=bLwPRECo!^%ZkC7CF=55`?YGW(?&j+( z8gdjDhcBLA`z91uz4h2GL&2=_R87iL>w0jeo=+@C-SpHZ@*)cb7IP0pLbj;Haw>c~ zzOS&46zGQeu^intufb<&I`}o@UVZI0Zf;Q%sx#J&z1_O&^ICkjJ-2y4I>8`rzS?2| zn&A5Q^dd6WK8vxdDs}GE1-k-D84Ke2ZJluK0t|nTttj$lDN&kHpU~uc)ScS!C=Wp{ z-`1$)Q|_3k+3q1isi&;>M=Q2ViOD)Qc!^7P99^;t5(NMis7#c4R8gOVyCw2_7lKcL zkc%eDEfA(dOux%*o;d+vz}RP-yB(vnGBE`*x*V{X-YN_4b`?~_m_Ax{<{CRy5z%eMn&>)VZ z8TQcI?_QiFyX^Fd$jS*!hC}i0Y=q4n!ETo^4k`~zH;rU;4Xo>0;w|-{;MA!rX-zcS zhtzGKmS!!iS9O}Vzv43M$eZgJOisoc)!BHjseUtG5=~G|JTt!MfE}&~!j7ELmOUAI znI>^yrDDHU?W&%Lp<8l}BYTmf0I|0#U)Ff@15Mw8CAqGoe^)VsRC)4-OrA|%9)3tT z-K_ts5cLIg07Q9Z3zB`Gs(P3%ns!3$3v9UPX-MDpQ=3ypzSF)t_$VzlG9^u=Uw2v(Dt(+iD(lFDO!_|IFaEEVuKczj+q6XR+ndZ$5DW97=G)`^~{u#j`lo zHG)-`a-0m~9l=Y2xu}MV#Krx^;hrs?+CM{)q14A*41z7s{zrWT7@wq|>?bB?Qs>ii zRO~M~y|JM-&6|m4&xy4^i~OuyKA=~=Om6(mhbWuL#nn`wsGf9P z>E(j2X>U~|k$YA1FN@gt;OH6bBYzl2w2A6If~>4_CEkRo41&F@10QJ?4Ha&Zkxr#k zCX_StVJe3wXK88B8hdMN1!iqO_Rd?D*>!G9svbfv6mL`vH1wK4^F7UJYfgJN)UUWn zlaY}PICIr5nr`NyiS_uc`C&yukP-p6j=_VcD#QRs>Ue z-p*5LSYp`fz&ljHOrU=C1$Bg{S+ERvGD4E6xU zo0=;9YSHD~br>6&#T5UYsDX`&PoMDsLLbUwC-FI9k&WF&F~~z# zyCs40$@vj|oL|+EI#{-E^FVa4L`*WJ#;}{35c)^r{1ClQPq{T^1Y>meQc`iRfYL+^ z2kSsz7-Mz0Rjl8@Ks`PwN4>#?v!hNsrRVLOl4NI1HNXGDnUXs}8FPj*qh^*`cF6;& zP=5(uh=E3FJ7-Ql(>6gUARB6!_cZ-_svXWcIR}GrwH-@#OtYgJU7m1!;DT4A>Jph5 z4rI4Z5PdJJ4af{Fv{hQgL9Y%6O98tBbQF#3fH1O${bhvOZ-qTbE}>vpF(0~>e{EbC zch4B9E95bigq=~+e;V~vs;bNN9fY&&zLLulq2sPEJ|i%1I$zd&K+7W4#?PupxGkGY z@0A)Zix+fnH{Wzk)4&u-KlELmyQcRtp-Xw&)b`Ikq(;kPGP`ju&G(=MJ*i19A&kg3 zt>Ce%z{aVS-TRZ@<*cORB)W%280z{t2_NHwl=PjRsV-} z{pTBsfxc%@!PXbr2kAuu&YXz85ZBhG6m(q_R|vIs{EYe%{yO%F%%EoVA3b=EdBg!< zY=xdz4+Q3akJyO&?D$ocn>#Z*Mx%#eq;7M+XY&VKF2%tu*y!N%{bM~{=fpPpE(SJV4aGqUEC#LBi zyvpQwbWCjf7bL-~wWaR-#dDmA-eqxaiPVe^ni>Y2*ct&<$q~eLWjPbMsL~yvf_A*d zIkCNnAeR+PmQqst0SofykYUCED6t+!#&h6xQXW#gJrUM^SX7z|=%Hu*{!^Q#(-s&p zE)#8SZMNWXqnkxaJx&X&GVnZIthm#PusUoBF-v@SRqtgDzB``b9M7le^{R;u_LA7P z!v%ZEckWhLcC|hfJvi$u0Rgv3l6~c{yx@W3)Y39=r+`PesW>3uP?WA)%lsp(FkeP0 zvvcpJwCgrEbp5lU)AfqU4>*aT6VGoypP3U4qeTj#MIIiw2kA|AZwH(b+`nYuMd}On z&jP+82WM=8kxlqwMVRs2CS15yA@eMY;_?2;uw#{4Jw>j1aOU_aPOOE&tZO!wx+nW_!LtP={&b93CJ7+lxwCf( zefzgC$x=W5z9Rt@wRmH;_(ec^|Ld3ot6j4;b}&6LBthVj(fhqvaX*x^XfWlg(aw|p zzUXRRO*TVWZ8f^lvG-ncJ1=JUlte>f7DEhn7NWF@ozX_ePn{sq<<+>AZiv_Acnd=$ zeRbg6d(U3j8dRye*$wdmb@FbwjgBqDe{Y-WBHY-{>v5WVNsA*H3VS z?KSMT@md&MA->vj8H~+L;HlPn@|q;TgKLw&;bWVo&7hs_)}jy%MQf8Ez2x zT>PQIqO_+R|mLBzMKUak4D zVY_%d7cbIdgrc*0Ln)T7fOwb5d*9yEdYl=lXX=I8#l$KPyX%M5jG@bGCI$(mZ*!|k z_lc8!@qdO$|8>dETAm_9R`;3=H9o0h6}$epI>RmUWd7wROl96UKg_j?{4sMle;)^f zgYTqLEK6!kzZvP=O(1w4Y$rn6sy?J7ny&>n_8<`M z9cTAubZGBYf!bcd$jEO+l zf+4H?OG0c~E}Sjd=8MsSNS82}DqPog8CT*t?6xgo8uhfxUe^jLoH%{X=0yA3LokBy zf1R+$e!K+ikM;ba8wWrmfp=*O0a%Z@55#B!;AEUNi{mhRk#8efr(=iaOuwctT;@i5 zZ!d|NWETn!EaDg436=SQv565j%pxnKIe-s-P9`^db%v%g`RRWMhX2-7jjiDD*%=Jz zJwQQ1A$9QwN6Sog#*aaD=+pclS^K~KdihA&OrR>8iCav=^7N6TN42C~H3+FsWMyPo zQii=;vK4Eh^>m*sH$z6Z{txl?%vic#YM2B#+`Ta=qx!_k z%8Hd1dA?Iw_7V26uiN<%tz4d1=R&90I77@^6s8@suC3IP#7ziST={Ot1-~cd!dEbi z8yhhii+IEFHiGrkp09;_>T%b!46Q zPzFYxMB-F??B~;t@VD={Dmr_frz!U{c1Usa?ry4jI^su)tv219Z_05Bv}8kGXjS(N zTcNKsUB*wu;WDaKDhuWcMCPcYzFn_Xc-%jNt4)q`{yds4-!ebgCNY7cI(TA(Hy$U& zZ@gRH#vVX(KkFrjanM}W;Me-9kGdINT>LhRa@}cd1~}8=SbW)Y;JQX%jF^h_uY3Rj z-YW-3ew&%3Tj}HRTDXE{I;am?ylQ?Av5jHt-GG4s8AS`y+13;f*YN=ypxf{M!f35{lY~EQ1UTstE_} zwiG{dn5Sz?<|Ey5ld}1~*9_XbEP1($Ss`P(5b0u|;l9eyJn>CRb2acmdw6a}Y|r4- zwckKstnNzDNE^3mfiLiJxBNjgTMOIWgjOFJ_bTq4XD?K$HVu>*M~Rh+?B!uGZ!jUz zRlGi&#=gZGz1p@hU!+IwL%c#sLZ8npZWaFCzj^iBavmx$&&C}(f=}+xk*RP#b5N#$ zK|yNOx1QFNmUUqE`xIEjD)G6QIm@*Vo`X!d`M`yjup@BZM5kwK$ho$GGD-9AN4Yqq z;W9&7>A8(sJ_(mRH+#-pclHl8vv`#I4lZBZuFYo`uYYk6cxN$;30oaxHmZWiyCW6E zfDPthbg4Yz_Ni05S~g;d{kI8nK*j>1GhG{R zs+V<4V?MoF%R5!B!WG4%e15n*HlXpXaA&rRdXTl38seSHnMkd=FXI@MN|&5*5yr0y zCByW^-1{5eo_l+uAG{mX)(8myo^UNqTJo|Jm$|qjngvCnHV{;jA+GHG0e9t4;7e+j zPq|avSqIyF6`b$hY?Roxo|v}_eQU*mmw5O_^{sdhYs?p$@LYYDR^?WDYl}BA<_OSU zW^dv7%j`(6|Ju)&xmVGnY^Uw7tNtmkFl7_q5u1PNuoKuA4eZUbsDXQNqyF0)xl8g! zUZc_vN_C?rxr3CT`p2uc^2!EU#0wlt|EtLwu!7?wiyl7Cx^TcEA#IR3ll;$*Z8E8n zpH=JLM=}uP{@5*GJ1u~|V7beX(LZ>AWH`GeuISk(_(8+ALhb*{+333t>feRipItuq zsQ;P*AR@dZ#of$@R{CuZ{>!I87`Uwe`X|SK`R%~{8_ojbiuRMrPs#efFSS0;Vxk>& z>HszB|BQ=dZv$=_sPQSm#DlVM;9(SJ4~_Ji{o(@nc@AYN0nbBK;PL?t{f8?0`!TC0 z!P@!pce(s(UIx=-;ahF>cZw0V;PMb5X@CIHW6^OsrM;W(uSA7lA_r9L!(XqVC5mqcNXvlaeV}LX-Tej8U2(nQ^~D3`*(5Xg_g&NXSk`|O zjZnIrnb`+VFUKcJg5}Q@e>wynK>Z++YH^YJ{-gc`nf(g46da_mCV?-*i0fH6s*@aq*$j)q4XEUsXiU z{uDzYMB`NM+W;tW`>u2O3yTA8&ZIhN0<220T)!qDK~7out*4vO-6thwfk%H{DrU^G zBG)`Yy*0t`#etvafB-a#lH|2TtoP(U;`OXj4peNboOIrz5v$D*`bi&|Qblnh&&vDc zIwyR23Bco>g@fh}zCj#m2u_38Urlj^%H$^MeOdYVx_7T`JYz!(h?L2qNJ^nrp2Zn+ z4&5c=i@*2yalEL|pUWXgnhD4a?62;;V!AA1Vvi|LU$%sKJR>||7mX?Zdp4pPo0dFh z+qVGiN8c%?17U;!V^Y6{&L;@;@AV*6vV|cBVI!Br=Ab{nK7H{6cUJjy}OqlL~w ztTIE0>cB>rAh|RN-;@jf*+q?kzafBtxx z{eiXyn>R*hx6Wi=daCknFUx`b?gPkppNt{Xwf60-`oD$NpKc06FTD zpIcfwNL{uyD|`~KD281Sbv)_uvtelfHN|P$&M037&U&#Y`*o9lx%E&U92RKA43!O) z@coCFF%Uu<4{-k*%VYY=p)nmT&4h$HX`!DQEXC@`+qL^<=&vs8-N&if;v1-8eTpMox51n{ zPDSNPlsVZf=xj*zP(tEKc~ep%mt2!2e8+ zkXO6SjBnE5V#mC2d1=N;DF@VMfZRHu2)5bdPdW1YR-m*dqR6zB{>5hUa*Qv-aoEm| z;`8Ne0RdqrZ1*?~-SWQ()z$3bapnLJAv3I5{hw~YK)-L3^k6-Idh@T_1(9P6-4jEY zq=z@S?Rt!cii*F|X3Gp}{fq_v$Y{i)wmJYD1inIQzYglOTX-4&XsWG7bIi^9lO^r1 z*PnDCuTIkS@Tm0J{oY!-q+81#U(}7`Nr;8t_tdSrqo~-)Q!#oKpfT6k$?*q*qX8Ju`*|IfnwI)& z9(c(~i~=t6-SS2Np0A{?9;d~;9KGeMe?JaQ&6>-)@3S6qDqAQf_fwLve6y;aLeqEdSE#*KS7>ozpR_jlJB2lZfo z#A%nwcj3*3LH~&!G|H1-xpKv6sSMKr7#d~(>>{GHRA{J309`x085&V8{q%z?A@;O2 zzba{4>^?{_xNd5bzc}J@uh>n?EIR8WC_f|dBSeOWPrkb0a-dB$*$U{PJL_wDH~1e# z*@&V5r4ZNfcoL-ofEE-#`9v9I2dA@`dU)mh1c&m|yhdG@go`Re^A^ce)jAu(8yKLEnD>fq7a@921bvB%2N&iCiU&EsA& z*pr&Fw}Z+hhv$~067{re&9khLD|5;&6ATomFN?A4?ChMUrDf04D_eWXhQ3P?BKPcB zq07qnnA!do4ui72{qq_k#mu5kLAg;a!5~S zm60(TF0)~0lyuuLzTkBrRu5DKkpG^*j9>BaNq_PuPoA)K%9k+RIOY-52tdrLjVg$u znx*oQ+SK;aKMn$5J}Vv}_boMc`K2lU&5k8~7Y3{r&(EI~4s7d#+U=hSs0Zx~yL1#| z{eD^v|8l|K|Ly_Wtan{wyZQg-USHJ$R&KpS@y7pqY>n5zWla2z=YA=!U#s!QPy-4` z^VA=aVf@F}|BUR z%pqA}u4dT(sNR2n14VF|)YGpA&4Pa!r7_6_%DHyG;a`3`aB@ol4`%ipHSPaSTmmp`y;tyuwO7A%A!E(;1mz$)AT+A9r{{g8sVFm;Xx?{MaTj zWF@`58oG5}Wyw_HV+T(0e{p=C(XMs|3;~iDP9kBOmMZ>dhQpuc_3PKbs=DC6Bt!hQ z#}B;f&xtS~_oL&(jaHS+2mhho|M!LDSSbGY%Rl7gM+uk}eb>R%pkKukamAIL3k3bFq0cldQF7}BZ#|B(Ki zrO9A&adGiApo80ij`c0__M1S!FHeBdzYb7z{GqV0uxBh`P50e69n-IA1n0Udd6N<5 zDSgPF>+&F{F|T5rv!HGZcIVEWHc-XLDj`ulfUBFC#u)qmTB0J1-{#AI)*BY9?0S43v(xGHwqXRu!%Xb^p;ND47vH;?x=c@C93jjza!q zS77P259H}{36}xydA8)y|Hs~2e^t4?U!c+@p&|%UD&5j82qN9xN_Te)h>A!_r*xxq zgCZrJn+ECb&bu~>2hZn>@BIVr{o$O!P~3aH>s{-~Ip?!P!u`*C_ken#0{_I$Ye}n@ z7XvChqLKvpZ7eL3<88lWJX`ijw<2s@+}L%adR?FlMK0n11mt3LRaI4iwA9#4CAZ72 zQ6g#->%ieim#oae+KkuzDKFQv^-*-05~KMMKxUv;yo-zbygoM+`P#Qjw6+-jeRHjn z>Ol&t|IHVL$)rD%t85)`eM6#|4SxWl9}V!V**j-aRiCP>HCP%%ee~D)J$m3vn~W`79!?F(z)VyNeHE2G{{YU}i&f2C!;n z!@}7NI|-!e9W~_>4J$18zBU0G?fS8V+g2kkMS09smI_|vIW_<5=(-O)f18ZwXhw{S zKvFamP$mZ};<*rJSRoqn3n%!?h?*PAi#;iTEQBr#lwaxa@bC=YwF0<0gtajh5v~i6 zM8$%vFtJ|y`YLcO&~Qs~*5bb}h6_zNG$xNUu+s$TT7rhwQcNXZPH#uas;{5l+uC9w zVd25Q3iYR|z-2rM;&Z=N0Rp`V7LgRwyL%w50_iNza(up@{pOSapvgAT$553x?--z9 zU_^ZU_)$18jTuoB0z?Xv9dFlcA zs`E4}Us!#`-IrzBfUboo;Hy@1oqR4X?$^U#?#f3DhsJSRU2g7U<^K%IsXssf9qNPT zD55`+9Jmcdu*c#y9rrk`ro1HLIAmYGd`Zg6su&s?I-8x7&jb?}!*v1NLR)wTxHwvfmTMl6qC6{C&#yao2^&wfS5jt4A%FPro1Ov)blUCTj@JTmdJ8o02YLX# zIm!%6gL$zavj3_#T~2>)Jp%~(?Dp|4%USax9v-#BkmJ3(_wTFk;S^m=xNay`cGjMQ ztCO?u!mEH8Q7gTS*i>8)^Go(;wDNkWw?M{Z_I*F<^ z^(y}KPAzj7VALHo!jGeSZMA`1W}0nGBY?6>u;z5uoUU1VGA{t`rY>yZ`oeONX5!X> zF=vT8P&>elkFc7m_cmzX)r1Q=c2@4oo_o*S$#}3-v!7F%B>)6!fffdon4Gl^RA?Ls z`?&0~o0i2i6Vtv9w}w#!9io20ViU5SPUcDm~7Q*CqXccChV#<29@Z=&S zoJRSb6b&T#85+dA5+}ky+*tEi!qtWS)R>wIe(;KsqV%)hpPelgSHu_6esMQR(JP z^MV-3QXtSH)@)Z@cQhXxQ>mOWWAX`x+ZQyOvzI>x z#F!gD#YCl1k3-z^~+?WIC*msg6C#Sx=Na;95SWMgM4wrIIn)Pf~Fn zXHu_LbU)E;TeL`N7_gvM&ylY;RW~K-kCC4Im4{#%*?3dQryH4wAIVGeDsC96!`zVf z54TseKzO6E2c;g)mk(Oz!Oe5!-xrUdr7BA|r7eS%om2YUU{BA>TQi2L6nz5tV_cx? z`WaSWPD!Rdt_W5zymLtk@V7fS-Sb_)j2fPWPVzwb3=tOE_mr&ic-Yw?d>TvcK;U8? zpT;)5*IL?fwN_!R?&NIGcrx+g)Uc19CMRPIwW&P2=#}t%d5pTi9mv+Pg$hjWHu&p> zdDfTTk>wrv`Mp-65{h2gmMA@W@eSTK@vcbL9v82%y2{tcnf#JMOiAA3;Vd5V2+F*}7w05vJma#RaWu zw9Y_6fs4#ZZWmO0GCP6mXKhATA*{!ozP^6=aupD-(sVCLSIx8QbTbHLU#sCTXqkata145SH2Xq=YrYE1 zT?l7<(-si#cznWj7Vp|aH3y_S^e}3G=-_(B_hW==qoxlAH!2_t9zDR8&;VfyTf*M= zL>=#Y%*Z?7P1ofj_l+ImA^=1Ed$?cfNeop#&}kjVrV%lmke z(OtA+{?74?K;>(nSWqRn2Aae1ASlSS`*6Kg#&ZjV^KWlMuI-7JR|*0skp`J2N-<}q zEyw5qB4Q0^ejkMr9oJrRL~btaaGj@TT3@7=OV%(X3yGEEC9Z1+IeKOV66xyBasJn^ z>}QaR-k1766nF<_Pxg$pMMYb!*X$fQ*HbZxo#vwr+wZOPdsWg$MS%HnJ-J15z7{K8 z{!(j8T5-Eaww93@qxid}OvidZzxgql4$?B0WJ#fCrIi|s@a841{A0aNrIWVnqRt8~ zcCS}*;oTJYi)4y{KyE|zsOJz2v!-~i$(M8o7Sl&d)}~_L#WM1!R!KoxY{yHZDcDLM z^Ci6zBXhV}de@@hmVNR{%!-@j+I>!&RO4Qt(DDqTTGST9YN`j`pMfLLs@Z>0=LG5M z07aa|YW8w^4VtW~sk9^_ARKI^#nw8nFv)A*#>O779gofMn@;PyK^0Wm{bdL$7P!4zwwGj-tXVv z?5hP;Vnq`}6O-&=X=&*KI}JxWYGGG30asr7g8*o8wJ66l&UmV$lfI9&Z}mp}$zE-F zo~i>7b@y3{QCs@>5x@8zhgH%TaFzxx)yuC!YK>kTEM;XRgd(8fh=7=)eZ=W`5D_b$ z^nj$g@nnPRID*}AuexQ;z!-=9vVt>Mb)X{h$g3`=tCz_0tZ+kr+NNa*VAHWdmF#H3ctH_C7#WE z#Ci{+ABSQ<)ZF}M;q@C(2;|xG8&K}rRd`&jJtggV9ELJ7#2XE?D5I0WhGlk6>wE;FL)F4=uEh$ti~$|ygU-Esn@ zz!E5SR5W44EK9w3@#%Ec@Ch?a?=p4wm!7?%-AX{glmcz{M`}Se3B!};`|L*`X34G^ zFbpz|h>xhSU3lkuL;MK?2%oAR1C=p_9Z;}W%wF&EJTF=W$`u5CT}G0P=MqLqkjbWW z@;e{?Nl6rt6(p8}{u=m7GSvu+U)-bJ52P$KSOi6i>WasJnw&v4f6>ki@j{&K2hRMj z?|}qP7kvM>Z{PGl$*|D#!lUSX@KF%Yw1;?_d3?myPk&-Ifrq@GOdSSF_f^wkS3dWF z0H?@c1Qe%VFbxrTo?45Fiaw6k0KLWZn)R*$`+)@aeO1UE;OdP_J$GU!TR`}4Qfj~4 z5^GV}YA@-|#u5xwGKpTTTxQC20T~B0YP^ZhlF2u~zR1f}8?%)rFN}f5Bm}LXnnLnf z1sKr_D{;{sjFpCf60Z5Hygc8?#gk^&HlUh z3w1YqbekY*n}8R#WQlSak%D@;4dsYMqHsCiP;o=0MIS!DtC|eQfrJ4P#fUvin|C zLSz%yf`fy(#?zx;;rAbdrCN-n_X(RU4Hqp~@126Ino)r0jAy9NdAU-Bt0OsIb{{B< zDpx*-({~_`P6&GY);b z=$twHsBC(j^p&?u3wxlB&JMH4X*(a~3N73sVGvl2TUz$-sbcc(1{-0?`xM5YXEMaY z$~UVNo$VGyMnsU8oZWyM z_sPW(_;CS9S>N7{!^VU;)3-{HSRN14(a_vMA4#B8$*Du_NhCLas{O=IQ%Mcd-W)I18P4SccwP)H1IPuGy0PVvVX{sbAj}5Sj zUF4?k43!RUqSKmSiNf6krT1pdWb^);JRN*}Q_=G85byDJ5cEn=y30yQ@iX7aF6J(V9qC*@#h~o!{fNUur#m__Xz{gjMXM}BnZrUcSqIx~46#c$S>YrhoPEi7 zPq-u}!4>9RF3ZPs{OO15VwYE@nJRBqSzxcEeqx`;;cC({l0S3Vl)ZZCETE5D^x8TV z=bBH!+O+mox2R~;lQL#!y_agLW*qUZE*#v!e)u*!bSig6x=)`zZGXQb-2%j++Nsc^ zfNjcO)@NN`Iaa7u+g}~lO-J8L1x%b@t=8YZ$~ztOiw5lmd9DMP;PF-Xi>g^ZC#^hU zb%q;TK}U@KAVME&HZa+#pv;hL+N^2QN|qdL z_ONS>nMnrWehN{&UVji@P3Hns-kD4x(af z4;?PkL2=H_d}hU|!x=Rxmk#{#sV*07TJ-+1jC z-oke_+in&CZT~iqem-byYz#ychk_xz`Vc_*ahAdJNIcE*n7gK<_!5v)&yB!lF-BSA zdXO(aGYVWXs4V66@oN05fbYfcj&RDJd_p+xu&dPwTX zZ-Ne#2RYV#LfYX9GLJ#iUjadP94!8gDp0}THTecAu7Ef=kYZZ#FC-@brD7qQy%Ed& z`{iUxl7Na$xTSJtpz6u?2aQFtt__Yu7-QTlPP0zQ0*80mzpiE8{!xdeN@0PU=n zO^aPWjU1xhpx~npVtRRVI(%9*WaP|!0;GRpfL~80E$(l2fy8b4i&)Z!NeI`ic$n|9>;d_ICvkhPxI-)z}%ImE3I$D z)usi)!X>2SWz4tlA1acAi|=Rjg7MaX-brzpC4{O ziZzhV3S>;;!otG3PhKBif1DfMCJ2CgLk8fHPXz_Z0ASWk+4TXEyB6@;U6_vvuW)(r z)$&Q@8s6sw^e}yE_D~11*gp^bWI>H51C2kWE z(mj6s`1bw#G{BI~52Q=pH)u6NHbNQ{sBic7dHT<0dEV*f9|E$ZdZ79XG9>!p8rQPa zj10)z2aJ^bu&{Z!t@`#hGcT{ddj9%Egdc6+W3o~;e&j{soNdp8#GqaLVzjt2S)c^S zREq-zVrcCibZ#DMR@yzrGa1nAdb|NeMH9{l(frww#M?ul=wt>4DS~>;(nx0I)(JWN7Q)m7y6h2TYvoIb;=FZc+;kx>HFQzXBty)VHPwDR`? zH^D0~NNd!Wv&oeJ;GVQYqqhV!l;O#zFM-II3n6{Pw`yIvVApo|fnBu3V>K}PCdUCi zZf~(i5Qr9&0lOZdl&4nF`Q@h@I8~j*kJK*lLeOL4RKqVS`ZgEDqCmC!(aK<6jzdRw zOSzSCI2OI^*3aJFkq>5s2CsCrCY`yij@9prHsu5p|K+n+%Jk{m@r)Zdn z%>jl!xSgz(6~1glRjsf|GwNgh@`}4mkG}uaC zey1`l(PgE_=(@5VZ}m1fAF5V;5Sj0M6dE5-2egY>3d+kl@R;=805#D5T+ey5vjaaq z08H?cO~t%2UHr^w1UybMP^Zc4SYR4Jd-}`mLv4W7 z=lbKl75$#%XXGjE76wK_pNp4>=tKu;xZaXPuYLPlNX5(R0`G*dK2p4;ooTSj2~%Y7eWB;-$-K%?7wrOo5OFX7wN+MPK_1AB z?7ss#GN4%dXXCG~V^S!8GV7gyT9*XPhbQcWp-}vwhm^P5;ZOg0Rw($3?_#`XJhJt>^I+o>>x0F-(5{y;c5BGz57?|`Sa>zs=PY8 zdyV<4oe9T0RQA*7ROH!-aLz0(-O=$`L^_{bxb+y{rwRmf>2kLMov(NSBvX5^lO88| z)zHx)=A&$VkyG9LOTqYtH807E5iU}9k73f`{`FlQ)WN~G^#?CH+bBPduM|qoN1vCK z*LL#kNJIl%u-*Dth3e?y3g$xD{aU_nyMK_<94IjHHrC*8q5K|saVw+Xy^b=DrJ*NM zub#q6Cma0b&M(i0cQ$NZZb|(Kc}b)c+>AbCSz@?sD_E7?4HN~L99C5-4yOai$jQ@} z%~#pIfD=UIPer}j`g#bwjg8GL0BVE+d8@I3lFp2#fLa!#>uuIc-vRvLoj32%!}wBw zVf3(uqOJHuSpjsCXh8_WhG!UfV0V!l?G^3$fxG5UJ-`Gzirq4y8en(j6cqIG zjUiPfcAUHdz$%(l`$O@qf8NdIPu-iazz~IU@eSt^*19(ev<^oyK*hpU4WV5kfFfZ( z6+9~z2BZ(JO}jtL#Z2m?l`!a`1Wc#)EMPvwA_Y*AH~z=JU>Wgw56wm-7u4Lh(Hq@{ zgO+KWL8(~3J?gOy)ZaNdIqk4^K2MOSZ-0&$YVl`v6pxZtKGuMmR643=Z0=|PxQP=V~(pOee4c!Y`Ul$A`E26HRcz> z#DpsU;IaEjWwf;D8LBs5RfBU!u7WekDfU`oMeK7fIpejO_peQx((zt5ByaUXi6>1~ z%v_XU0{GK9=!CSdbPfi6EsVDF<=xa*XB7~xpukb63>&n%)IVu%6>7&vR|`gRr~UgS zkaV-aZV^5rGcds&KAiIqoeZV9INR`i=80qlYRqhsaBfpn0BLxQ`a?4HwtjoAZ4N53 zot*rzNLY14c8xS&FqNXr2L1O-=8#D$&r}c#3RlIOnZqz6l!Rg)+bZ(}0Q1Fz8<1ju3yOI)}bSp%9sGY)J>S2{T;fSO6Uo+Y162>FmuFQ_u(5+w60` z^7^>mm`_e+0BO#=^1h+_N^aNU{_Vk6o~XxdhkeqQzqElv`GX-u@MMQDsZEvekmg&x>%bENqt^UZ{MRw z7C&><2SdD|70g!ivT^dPtgHm3pOKI)_1kp>4qR7R!8vJCALEd1q@ze+c!FWsUdDQ# z@~_2K%aJ_E5WzSNra*EeD23JcW8D{Eeh3T4D*cMK2tR}anvC?5=+JG@LNz_nkjaz= z*I&5n6S4LUFVP7+@CHC?x!ZDTqOle|tSTM{P@8Q?}4E zx{_9jY-8Z4Mb{wM+S|A5bDRY#fZGcnGFNn5SDSh0#bZ_s%buBbj zmNHr?-Lh#=gPCw0P#Tg8puTTGeugaht~c}OJ4ZvbI3~8?<7CMtOjY)Lem zc}&s$@tb)w+Ugx%osX_!S??xn4x8CGJlidgpkt1i{Y2_)xkWVmTbkTRujDQGc@gX? z8}r&QMfQX6^ebOWAyZ(3*y`n3U%iMT1V`KO5Gjn;d@RcBg?vA)@59o^c7)b|4oFi zR7jz9tA}XWE5q12vB+0~&8d(#rRe9h)Iv$05JvVa=w9lVWzdb#;Ip6sWF1XGb>S!C z8T-9kj60PNQoddp-uf-rAim>FXfI!)fn)0Q1AN;Dis|2Ex(<3PtL7I+9upQ+3^b8S zZ*TQF+PNCH;%daWYZyVDr;Ij?rsMX-@8@0Ik_kOOCF z9?MM_N0<(l6=#QMO0z)2lLi`PpBUGTlIzSn3QGC^zBl!e@aJFxUJHPc>Q?q|XspBr zir%X2=RN+Fw0KD)&#rbvvL-5=ZYw}&`s{`6*RU=t`(7K!qz=Ypa1;(~eQO5mJhY~` ztNZbtJ$Dju7K8C=G?6G`_&Q@)#lf(w<-W7LJP^&B^!@zP_yFD$I%x)nRz*iGii=Mb zWGjSYYB852IxjCzR45^&1nnTIbA>@(8ZUA+5o;G8T$fEaXb3bfersgleV%invvDQy zZVdhLEB+tGD9O>GYS4LWqT=E^eij22m;fsw(ey{I05G>`)k`I`T-R9pf{6@ELQ*Yy zIwmRAt|FjjlvKJAie^+X(sXmQB}WX?5dx&|&>ISHo6}rEm9+$4R!(S#ViI_#B$r=y6ve?zcvF)pi==E)Do5r}xLcJEWg%KZ;be%ojw(^ei9_J?F;8 zx~JpbN-^vOZsL;W&g|-V)JK|-vx+9#0fh<>* zW}#A#uow42rQe2s&(9n1B3uUv?R* zfi!PoDA1)O+Do-&sQgdE%E-n0XlJ1fOssA9IeBkl=srVJzI6ZVo!@Jj@`bI+V>QJf z=Ar&{>uayMNH0nOC<{Uj%OrO9>dTW2Zzxl&Hr~fy{}suxg4?@yl+^FUX#N68n+UU?lOI|&&G{31P@W>*^BhS+?SXCxQOy4cH@6t1T;nw22=i#GcaAKkv!@{`2tId*|qm zvU((wHIHgly@K%p606>N5B1?E{0#og@g=Ts`G3tOXI7$k`c| z>%|7znFp<4eF(z4NJ?_PNaS$I*-v=RBgo3MfQvh=`7H7Gj$v83c!Rl-F;6^eSD)_< zKA6=i^zA!9A^g3k<%RrDXC*n=(J>QOwL6=`tKQWLKwqp^Agn;RcpLK!{rKlEh;fMC z-|ir1EsMV>`O$)y*+qj|z58uAse7EH3?}Ko|n+FAuDucmPu;o1XNRhvI&S@gFRAC5dXh^H7WKMP z901c80r)GuzqeO(+qj$^@~_Xi0b_{E;j~EtI?|F3DQaz4h8q|on3o3|i}E&XE953j z5tDvRfRJa8=;cO!)~YZ1$nAXM+;S)ES@%r@*iQ2LE~}D=uZ6>&r(4`<85!K_xHe`C zum+slIuutY4U5vr8;l2S3s5q$h&#sPhJsCVG!U|DH zC#2q9Z_F~WZ73_%NY-7v+!=7~{Scf~^7>=(3jO)c6X?g}?a(j3f17%0#iv>(&AGOsG4)bKP7!yYxLgo^!v&` z_;sPMC@H;1A?OXawkF4c(aB6p8nY&ZK29g))Er3pvg)|wzF-}4v$6Tbam|Z_;rr?LvD$PS3EjdUYgO; zJAVJ+^1OJN!xBwcY=1At7Bna{FPWl6#;)ZLCx6{V2Phhn%J~{pr-;L!K>2JK=9c2s z9lrtNihK&@o)zK~VOFa=cI|(|b#=-qkzt5JL(mG_P@mq1TpH9da93W32r*h=ceHSsH_fekX#)dFE4RqP!{*j*Q%i|Y#YmxOW}`Pyu$_a z`(RPSI&O@GY0_!IPC8Lh9}t{DO@&U5*KyVKx@N;9Vd4*2Ocq0jTa|xca*)A;HC~?1 z#HhJ?QEd|L`7hk*KG-6{8ho&2=)V1HV{gE}%dAh}bzKCN4x4)!@6fRrX_A9rD$#$f z`RbT~54Ym-ez%97sJmIc3VOX#5D#}BF#O6?=l9hF3&VbO15>j;?P<*o>h;&!U8p~C zrb4f5)IZygJVb&;I{$bFeLooxn$^lI;?Y?-I;jqYnyl9m)L?&qFaIset>S^M83M^rED#CEpU{1jc|%YCEFt|N81Tr&eLr%Pi8se<6-|n5fwr zKZdJ({^N5CM1Myz-(oX ziv=1%v8&I9@n36GYbJ>=!v5ED$|M2jPc1*FzOUgv@zd-k0CkKK3c6li;iPT^(5`z9 zdR9rkzP?W_(eS6LVNXvtZNI0Pp=&R!A**5h&v5`-=*w?}{$vRnux9N3wZ?h)bjes@ z&>6`9Aki3Z_|XSbSg?Rk6uL%vXP)l0-mcvnwokYI<7n{LD|vUDyk>w;D`@z^|{@P)-Nvixdqc3d~6@U`cX15F+ItC9*^}owjOv3ea#1oA({s43JUQ5yHx&9 zC{9jQvN~i91Z%GQt5n4fLoP4i+s(oooG%xl6IKuAkSqf9G){bMT$}`jR9q71DdDti z`j=UZC(kqowJE!}R6aAG^#NZ+G3va(s#*!K1dR*BHaag38=IPLBRNjb%t*2wb;fhs z9c}B6)OkLM=Wz~o8V|LZX+j5cqN8@@o3$(L-X4al|6BpHsoq#jR7a0~!l-!i__1s( z90Nynv0&+~z*oPI?_bAj5Y^ZBe(k;X#05@u&f}Z0YI>0wdrgJ7U>0yu5B?YuEARX;!g~ zasrzl0{LkQrpJk_djc3kv3Yg8zX=O4pA}ER{fmI)$Y)?|wKX^U1K^$*=r}Mt;-{sh z^&D=^P%$#floqL#m?&h)krhI|rz6ZY69Tkf%6wy+2Ee4VSMYLhL_vF-CsdAO7e4YU zVB8TynR2d52$;|HtR4kzl-8LPNqi()zq2&QK!+BtI0&EHsxovW}r6?L5p5 zfxTXl4sRp)>ERYeCg5+z42^0|Vx?mxp zIh~WAr=uY80{(yj>DOU)FxEU|l+($6eT>uj6g2F!0C1h@P2;HI&m_^&QuDcGfQgwa z;owlNu+g^{DK*U`jQf z_aslFLJk9g)3}#Z?aRw&gAI9F43tkSR6zY%pBMs~mqp*9t{%M0P(0i9^>sb!nGbM& zX5UYU!92k2{r$n$4YRHZA3q8`Iol1Btvhm_vV~f}uAdKBI0J&=%nA5ifmWK)Qg7Ps z9z?qj^!`MFSis0pJhx+nsy+b^A)DDfXD6p_(6E0ie>&;9!CL`Z7zL)y+}q#2`XK4= zz|uUZY7g1CGXjlR|2m)`*0YCA;ImLj&t)gms(E&LgyfkpLyG{zY*-<0bQup(;Jo?p zA>A<1J)-t_na0M}HU;nx@am@@>_HPxyqkTFK}7-3@vm@ZCfrCpU??HAzriU$(k=lc zhJ2M?(``dKYdj7slC$%Z4Hkp;d(n-lgn9-qzQ4J}bVE5s7#$olyn$R*d7{=~T{l9E z*(lVAErEoDgk5kiWWceV+Xc{3OUysi z)>~-wmrs0{&??5f3JS09s|q!i%$JWhqqY`^JFyuXg5O6>ydXfj+f#IQ{FBRAg-&^B^)LM1VK}WR4I!(~HVq*wxS$)uewq5B|npWa! zzBka>>_=5>cd$e}%8*&OW%x}Cx13rRz-(eJ-mU}9EuS`@)}zZGZT)>XbiuschlY;o|; zCqp$L%N%rgL%fTj&Ft?p741%k!U>jnLT_)Y=2$J--`(6}*jVdc6PmdehWz=_iw>5D zG$r=A^^q!(XKC{zTu#B(bE9zkmzwt1;7}s{T5Z`Gi;mHhJvqehU|=PZ6=&j ztC!NE6LNiYT4xH+Gbjs~mw!gRk}tt2XvLaH?_+Wmo&OW;V0i&gco@*d`?6Cz(iXxk zUf+JWa_%SWk9HZP@XOu-(7tf{^oijq00&{RT?AJr6(HFAK$nJOp>!I19aP^Y^ChTH zsCaqD^Y?Is^pDmuUO#KkVyHVmrl|qt9Hyf8{skJfZk&W1R{Wj3O@i_xRsA{2(w({h ztilGJ3r&C#x}ZLDvk*(DJ7DG2n) zURU|DK{Eg=0dHSlcuokeV<4Pv_NK;5o(Gg&ihCy;b@$gsYu&53+UYksVpzlWpmh8f z@O$3eRT?D3G*o6!h#af|&%V$fsFfuHdv||taD05+Xk3ftRAY1V{pm5ZxgPvsL2zc* z10#QgJJY1VA;*OyHq_@ENS-r6Bvpd9@t>zT4Zgp6jVJVD5w>0wXIuPJZs=PmkE)0A z&w{F}t25=&#MCwvB4mIWfB#C~tscY~#WU@6nMukvHiZ>}#cR|$O*<*pgQ3jfr`tvS zUJJM7n}8ecbci84pdJ-fvY470ZoqsZ0o0Jf47nP36}rkSGb6)m8h`%hdYpj};Y~b) zQ@q=Cai0K?=cXgd|}OiaE*{(LafN!}nVE8c|fap$p^goHxu z5@?*V=>Nd3Ai94)$GodDsYyr+Y81TI0H#6}GYtSfZ_p0L?s}$fDp^K0b4s?y6m?z`vq| z6776`LmkBiNE=md0Y;!1&&1f&1wWZ0n<6X=yj2zm;sB?gbfH0h?eVY<(s1Uh!h0Wj z1T2taey5XvUF%wukEkqeFI3!#LM?F%Z!*VF3;4s;1* z=oz3K*aIz0GJoap3G#^rzFduvOzdNKLef6CH(%iQJ$W<2vTN;2{s|rW?@<+Wri(@1N&g5IB(RZr1jYcW78&g> z_Au!Nz)|ziP6Jr7zLE?eMc7o+BE2|N>0AfV41PGhrW$tw+zSGUpCnNg-xh3T0*itU zIT9!&J1h;>2_`(YXGQURf0{1C@p8t8X`i6>b;a;CHaFk70GY+iqm8?UiPjY$>DZms z$>2r9+-aGVn3fR2`0V23G*oo#mJ=|_3&`1cn`_%~Ge`&9=&*NxXPz1|Q_ESTT!qI> z2nw5@(%rMmbufF#E+dW4k@bP)qs6-Cc-y-UDf`m>g~}zFNU#`GSgu=$genf+)JnM` z&=!zjsq7@>j&=xy*zb29?nMaCvDk>G6M>EK283OGv!7IpdL;>j(F7A0uLmm80#wcBhilkTm_odFL${OFIK0-z zQB2S}ue3Iz{f|_b4aMom<;|_ccdb2f04z?)!7-HXg1Sr!-;OGV54kL-ct517hbaO! zKxNF4=+*5;R)l^6m(#X~sQ>YCSd^%+WQ_|XWw+%~V2YBh%6gt(?kyt?u<_{7Gi|@z z-@5uZzt+e9bul?|dLlczNB*AO_r}InjBwhybu~gk%RdpsHEZXE2UF0y&ZN_1TgB}n z@H#qW^1)@G=yeAT%#aN^RO}CkjEt0o-z<9D@k07tP*9{fK&Zd4yoLW?@p(J~&xWTp z$Abr7J6T8TxZvAYEthYzdhpmHJ!>9M6{rC+Ai{IoCDN`K+MmE3YBj~C5mwS>I1;8N z1Vr~v!rDXI}g|9hULPXu95w(18Y1$l9q-=jGK~S=G z5mwsJmjX{l?5wI@ruSkpB&XlKUt_IXZ0>Ba|9GL;{_NW~&ksF4VUKs$(Fk{Am&%dL z?eFatm3EA_#oxxL&CJ97{*6W+(i5skQ7kU$p2jTcmL6W3Fo|aASsHS#;-OL1K8wrU z)26Fty0WkG*^#(oTpA-nGO;Gsf%tv$p6&CNw`6NQ9{o@oO~L>R(7)Supu(N}#`Zs= zF)MPIJTB{|b;IXN~ zVo!KZ6X^6)n#+EIkyOb;`_A4%BEQAK&fdakXdUw5`Vg_GcGqyMC%Qlf)Kbx6x3sh* zeZ&^TDR|y`8z;f9;XeE z@g(N&uY^A8KkgYWc0NdRtAx#_6M+$5r!ah8%ak5yHaObHb{iAnEwqAHujZ{Qr?GGHsd2TT>zx56L4+~r#=M{TT@k79Q(XHoeq~twT{oL}%Yg{%DU(cW2 zeNb?k_{F?sobF;KOJ4|a^o_?}$wXz<=!KvVM#NZ+I%Bk%+VeQ8Po|?*+uQA@+E35a zzG4iciEmIKxn*>Wh(6vbTWlyO>v>PbOIY~C2pjat%3%SE7d4QGH|BVMO&qi+Qv`ev zhsRXHHRtC;Et8DrAjICXsKK?=b3&dlf;{z1H^L9b@&&q_Hq%#GcM4ucl3gG+@kD{trN}!PgmF`Ip<~6&fHVKHi5DZ0cHsocDY{+dW90Stg zRUWKot?Y7H4ki31KlXpZ;-J#8uJdWU zSSzW>e6=9$@yFE@-UwXFN{6I{+?oq)|U50g1jt!^w z$mf|?gZLQvOK=8pUs+5iJSwAK9x?`F-lUw-$7bYqVR{{r%k^nMcBI+osgHQiZ~%(1 zz3T*Vmjbs8tyTB3_C_vC_7nQYei4=&f;8;$X&7`gOPG*|I|Y+$+3IWMIF14Njd;fm zU-9K(idb&x;9cya9$QR+S+s5oQ+Mi=-mILnnqti@eD>qsf8L8*VMHU1bhoV~Jq4eVHU?px@agmmc229^=|v@l>hhnSN^WDftb=wBqWz89 z@fp=O4<6%FEZ2H4OXkGz9>sX(^NA8ykF{og7@Nl^N{4PZQj8*2S2X6c=CRa`1>z*f z^KoyXTpR=tFYqTINX2mogpo^z7Jz)!^lMQPNuTyNVDf??{TH6>U4i@v|GL1J=CA%M zfMYZNrv)cuZWiCV`vm zz@hDf;N5kPpNJ`yt!rIxBk<})YAe+8V$RqntS~8#X8!qFN+pg?CH={pll}RO`-?lo z=z>k2WPF3=S-*(OF;{+Tg%T^_F`=`OVffXl(MC7B$ctYuEs>J@foR7hU#~Wq+pErhveoD?2qLz+N zl1;vxwrtgj{82w`#^}BT$&2t9SlwPBwoKx7vSIL7Ul5D+yU0RXBQgo)DyoU?&GcKuW;pw8sNEaw5qUJ88%zSO{n~edM~XuvY!4bK zqcZo0S9pbXe`*J@XCRh5HOfOak;26@JZ3W7dci65$a3b!-1h_J`v}xDzDK>TJdVmq zm}k|CSk|wjs1x0)e1tL0pQcsw_5*1@?UN0cX`R?w9*WnFt7Ndbkp<*!FYr6Y(at!5 z=I~ld-a(O8ht68){Zj4V204@a?+%~7eED!~vMv#5e*}~R3?ED%Y^mGMQqYrg5)TA; z`0jddIA{vg|3&wCA8x(U^%@?3{Y!6kc8k8kL^c_lQ}ku7&*+L-niJEu)+E2=qi?&?4P~VlPhg6hBWc&uwW`4U?^s-3oa#yQiyJj#|XOg{cH6=2^ zJWuNJi3b&R^tqPfh|$I9osqu#GovP>MC%Ii_`8P@q4^mmqc-ZF!Tp}-600WAVz(n3<@JZhh~7`{ya@`*fC>gGuZ@%}f#LF0#idi>JXF*W)7{MMxQN+dJv_oUuM!;{AE%%3qhv_kTRKN`H4i>t|V=a0o^#RO~cw0d_$ z#3eHh7lp*iBRJQ@N_|kB8uk^D7H7S8wzCO|j0Jw$+jKpYcq5vuxKrA*_EBLQjaKq3 zVO_31uW1f^wDRrxjMRKPcJozn3Ac9+27aG=M+!Xz^!>6{$uauPhTTOGzx6UR`7fcN z?2;$Yyla~u$8AIkJTN+PnQ2e;7{6&NwzR@t;x?ab9h`1L=1IL4c7~fwZZ9YqpRizV zZ>onemqERAs{wbJIdj)txp`=%#v(AuOmS;(kBpbM@4Ual>5P7)@_@;nXgi>%l;$z} z`$10Kj?mCOEnj6?-FdB#C8=C%_e@VREJu z7ONZHNu|*jex@#7Ixek4HabX7E{`qqE|r+f<>u%=<}dQV$G}XW1HaL9%`!3+tg44@9grir83&d zRp9QVT=Zm|9AuZVhrC4k3C|T=s=z-$(mnFBjYdu<-&#=l2O}$@g zUUNd2zaw)|B0RFP8nvE2YM~xLE?R!I{{OJ|m0?vb-TTrgsep7Uoq}|WfYJ?{?(Xgo zDM{&0>27I}&P^lT-QDni;GE;@d5`D)`1|z#!nH5W7-43>{`{1`$!#>t{7G(7kM^X(B-6yZ-bkA}-+V)H;Am zPKH686+uk1L#1}4i;sLsNnZ|hte2=P(o4(wK-rwqnUkC={_yb*9E%(xgEU=v(+9^_ zv&+~RcgB-#0t4fSyTgL%_~{c%za|q$SL>%rx7X5wMG0&@(%j|lWI@)2kKpd}a-ID1 zK*f@QvaUA*N90TFemy!5f_m6IN`$>OABzlBxfa`SP$5tVjYkp5mc-)LE2;yWQ|GKGnTA^F*$c(8A)dR=IUmIK!c z1gmI4mK~NoZfQK!7&2i3s$Cj8LBBvG?U)HWi%fZOH{WYSYMt-LR6v(pOX3~6lJ6U? z;dwzHX~VF2IAN&mXD$DRqQtbH*QG{{v-*ZhjD)wGK%GFYN*gumkm*+SebQZD-Ov+or?libzS-w{ydDAaeYEV<|Hj)j$Gs0#=E&&gHgtiWTmCL%#yGc4buM3# z<#y!?$YhArB=M`01`|$YWNTX&ih6iHS>33v`EDKcr2Wp((OC0E{Hx4twOWPDdaD`C z7ZDpWa*P{(oXZG>v*B^#hA{{#Qt!>rn20Z`@NgpY7uolu?ya#BKnSAiOmhchJWcq^ zV3BZ?l<`CUlkrA=vA>40W!U%K?9khOlmc15a&s~aHfV>8r-JpCb^eyNqZN-|MXy9m z&kH&RAyvrCWN?1X1qa5G$3qVpf71N}2k+!334AVk-Y;t=mNW8O@?S1A=*D?|5FG7l z8c($CU!lXLsuP~_P9z%45xnzjvkc%=Bph0eT=AUB0NZB5ng#iZU!OL>RM_+pJIz** z-hH;g>cTka5MDAEd_U-`t!Ivnshk4t>pood^k>ZzCdWxQ0TN+ z&%9HP>67|< zj~6_9KZXjS^1jHUIX8wWOsp0x>~^Sft-VQ@tZLse9&XAC85naSR)8kGV_KKZFf-O$ ztvwUN`7y*(bd-GleTR@qaWG5I#UDy%^$EB%D#jDrfSK;no;eB4i?A`P@#AiAtV|C+^Ig5)>}Q}$ubM9ve^cCsy$ zo+HLHAHR3kCa2C%4T0)7^XDxsQ?ggHeZjk+Gh#EnZv~)i=hwF1TWoF5;#8sZ<&9&q zCrRG5Lww^0pQXY%zfOyR1M-_XJvQW05YR+Y%P<9^T9k*XMUPVnhZtC5*pn}Lbb01S zLD0QlE$4gXDCyiUc85pLF;!$ca?Q95;u@#FMhWrWXq}TPnXO&4Hl}#+6~?>Le_lxd zuD}G2y1qBWP7&&ovU+ zw(;>8;Ba5uWUL_VKCKT>T0d@P%=C8n%UMo*@40pbx?JMO(8R7z;oY7s-6Wz-EbY$W zOx!u>n>x~)5AfEbstaJU9HW_*XmY!)9y~DCyID+9E(xl(k}@e`Q%He1JOks7EC}uK zim8cBDH05P(5pZC-bHbF>&D)^y*bT%d3>jD(#%*C>Bl%-rOiuwXD3@_qU2H>Z#YGpX}*bGE# zIUi9z_0^J(!6X13BCreW{=%D;w1HbsGdwha!z1{)djrYVLQPQuBmHN;r=A5ygl9Ij z@bPqaX63H!Y>(O?MBUdGS9gWLlGs8iv~Iz$chnXd5_B7CGWrDvU_66Gr|9DW(|-Iq zF^y{jWUJG-n!}|LK}L!wVxBpfH2{+q6Wyz9g8p^+h+WjCeafa1h}W;JEfb--E+56$ zn1IS}=nsy#EG~Hg8F{d+~F44JAhEFH7pQqRxMX= zJ4Z*<$psaqt25K2j_UX#v~GlMr@?ON@C#Uf*gh7NqnwLaX`=qQYP(CUEt$=U+3MTY z=OX5H<6iNJ=xG2BX2}|Yu*ZQexK*u@I=r@&E1S?Qmm#vsn%w)kZL#k_+wmQ90VxV4 zDE+N|Sl6P6DVL>Tiu3VUHf{wGsA3=cbdU74i81{mF$Vk9RtEM|fVY~kq_x7V6%K1z z+*gf-8uijQvGgZs6JCJ|y84K8=T}&2{$lA0;@xO)nXB}Hou{hH%B4tfN-n%7U|Yww zYkcc(zPs}PW*f*902#u3y@*^78cxTEL9V~l6<~nV+&a7g%rcLspS#QAsIXp^ko9-* zNm58<&T)cgcOl!ENnn9ND^%ha+}>OwwZpLvussE3A7gbFg9;GHTbqgnH4EZ9@l1vr zO6>{g_u-Df_3WN`V}*Rh$jM}9KI4@1jG;nEPHwxzVrR<39Ut$C-Kb17g)QH9>Uf9tsL;=Y+be#)$wVK|SHyrK{n^ z=F5rN=AC_18z*j7BY0**HQ9dhli6Vn(FimW1W^qFx2(WU_e~1c2F87~r=9OH1k7NE zx6aDP9Q|^M`Pruq0-NRrARVr!5B6Q6(M={hZWINetYL>gq6l}I3f@kfYi^4zJ~~L0 zy!|36_*_RF;SSG|MSHXsBiEX?h0FZ9ycI&xeeJ5mLiXd=ram$CPdk&gCN!Jtf~0~{ z#(+cKY49m>LY-m79a z=J@Yz~+*Z3gPPDX^Ji4h>Nmk3+yxo^S=qcSj)9*KQ zcG^_Vn_0o#eEk;j$nrX#V`SS!$^Sqj9q--d!MQ5VUBAer9Z~nTQ`NTP>1b1~NFDtO zwFyfi?Fq;R87zD{4Zoz3rC`P(8Z{-JotibAv$yWUsFbyNd}^J27i5;9VB_X-Qp3`^ zw%#MLaMl)Dw^7X-ildjX5n6gyR(WQ#HQQ@Jf57GXFeDlbHuq~bT2R?XUu66|xAKu8 z8!Nn@hhLU&z529s*yWSm3{XccKmzXmeR15}zLnVyjUKaxMQOu+^xf>C=Xl7P2VqXv z5Nw3Jhi#2{R2-Hb$RuXoO7m$ej#xqj(UM5`KTLGVUv)%<#?sR&5yX?NO3Mm#Z-5J@ z>T!Zyb3+l8_7Cu|qQ;bxH^V&*;2}fD#W4thvoO^|E+xFL zm03!YjW4v}rQ|11P4kd;y1*L4A->xj$jM3U;b&{1#lx8%CICWF{g%_aDYk=`p4+!d zQ5+TId@X1&oGDRme0-d6lZl@)Rd1uuz(jdlJNTXoz7u@8RD2u-=9&xi6SgIiZKlqM zC{$X|Ou||G>@n-s+8}er{^bpkRhY~EdA;5$Xb=zY0VSmmq>oIqYzom_?23pvBa^LS z>{YTEyw!Mmhn*Z0n{?+Fznc~BT6P|1WU6VuUT38L-X${f?G$!~!raRUyV$k_4 zL|z5qZIf3uH}2nPlyoQJo}8|xQLuFwfNVe#SNhp}8Y;Vs4+8jAn+?{A0$p=?*Y8we-@F|rFp36~{Fp$LUoFMWAlU#q-kp(4(fJu;iSK=aka*6>`DT=Wcg zwo*`#0<}~;jm2cdqtU!=h$jnF6++>e_+Z8pVlye1SU5#z^Jy zUK$BjIz3P0Y+U~0k^gtP=qgFxnArGi$x3c++M~dgYKzRgJ}37zrw!yiw)Y7!J5d7s zhn7KkmJAcB3kGjyn0VTSQ;>3*B>mqH`KlMryiRodA?8-PX23E{fV^zAKy*Hpku@At zz1rQ&dV;r69Q<&U9zvygnU5PXsa!!l2Mw?lBsscM(}|8Jrz00q#Wg$!>zo3~-{4b& zr0N3EDa*;PN9p!r5zczK))(7L9wu8a?^o0-7&P zYjRQ^c3(?YFy#XEYbW)Fj66vaO$%W3}6WVP7eS#$qxQx2dL_ zgXG#qz{QgW#b;?~1X<@M?-|h|yt}4(-47UY61zIF^=C81JRVP}oAGhqkNl7dpnX+` zQCq%lw-eAiMM5b(n+kt%+}xAYtFL!3t({A*(O0_0HIhQwaxsCxX8%`c${H*RQ>K@>Htcq4P^c_`zyFQ zHxlbCac%zzLj>_DaKeDvBoR6a}yhIs8pxwDj}LF#hy zs`@IIj^pag+uEE*osg+McQWXwyZ>h@Qc!~LuK5~&29tURlDIJuBz7H>BB~T{2DalRf zSGFaZ;$hjH$fzN5cD1}Ly3v8Nvb?AyPLVF@Twe5yqvG~+C=r!9kCD6!k5g2&xX4Sh zj_qUQZ*29ds7bjiq>EW|xCx6*)QX?;@!N6T*)q@@n+_R;3-CK%HlSiA74JWAxZH_1^(;lSCocBHZKPQPL(JKReBeo^JbGRUI!xvG zb3M@or%^|x=4%@4MNHIW)*#WI_6fhtUa(0*Ucyyx^FV!cowjPn!kv1$UcOaBqFI%3 zKf?hEguo8h@sfpTD2`g5LS=7i)*v!x!LmKCQ)6AqEgMbovDB5N@$5H-&qerj!Bl?= z_OBJimc-Y#si)^F=6kNKx6Hmo&l$fZ)`p{1;nDM|hLdu)7Oz{{!!-Rzdu9O^_6@%t-|!?tF| z+dDWoh+^{DFZq}{l-giyAP<-9^O_kBO;Ju?|Jf2R{ z);^c6roCI|CX9F`Pw(P?vGgRL24wd}|K;HcJ66zNmz4g<0rRC&AXqBM0ojNZOQXlH zx@-^UFHDbO54a=%`oGL@;QrfpY+>UNl39C}#b-0`YDpcoLS;MFR+7A(FTb}ClaWtH zCUkFncx&x_`8-=`fjwjIjT$2^MI*03t>(5!4Z-+fX9`acXA^cf{lfAn$Epo?iP>n35l zEY5wgJdo0?b-TQ4#E~!%O}6PbSTL8D^_*s@cAK3SXB_k8WIqINKV6;e<);FTJ{>X- zo?W>53ndqH^QOF%ttBF7>Zg_~JoK0LmG#gl`0<3`NbbqdhYNHio(Bc_43vkEDfP30 z`iN#z4j|-a#by2iXv5L3cqf=~PCW)Fm4{*-ysq2(`V%-cS{*R)Ty6+%M_Y}i&1E6l z1oiGS#(JFDL;%Ry41n86t8bPPROXtM_j>$5Z#}U>`WbrxVJR@>Aru2Lhz;4@iWb*o zYnY3@rJ~uzLwigLL!vi#)E}_o;wVO28SD~aTJ)BNW^66Dtm1rHCxmTy)bjGuv+Vn^ zCK?Yt>(!l&YZK8nVvOR(jR&%_?A6pM&?4ENAf z;qZ4rjZO|cf`MY>1Tr?m8ZPVm5(3|XyjAfY$&(hJiS)^~d$oA1nud>#nMjM*-EDH5 zI?}69Dk-#pgsIoeq9%l|@rpFcMCrDQn{QUX6*zA|`5PxZncf7K>s@riv?OW_#w;2} z8IG4W7#Kx3(%FAnfVqe(>u6XZil*vlOSGbr!nM1_IRJm5as?kLv(0yTNzs|Mf(^U- z-VGk5HTQkYHPivPbJi^u=`&4s&u%n`oZuKHzSdn)x zjg@zT55*x*f>cD;y{@;dE@f@^=Bg{&si;Mo8tX&}s@9b>j_1aleCBIZvlPJW4)7Y@_fzw0^$rs;3ftoCplp*Oeo1RfGBw{xZ!5a*c1x8XbI1TB-YHm|;t|4ntdx#jipy1ln3dTb0;j8tZxz_#qT-AD1ax6D15y)eWE%MOp28!f<=Bib!(GX? z_m3dkomplWp8$upk8hS)`ad`?EJ+`Gv60;>KPyzJkZokM3FSRj)H~vJ*@<^+=dU04 zbI;0)+2azPlr27E#eroiKKrz{0Q5GRKW${n*W;*qJDj)WmHjgTTx;JKn8+iCqQF@& zl1Ey#awb#y9bs@vX5kj5y6f=^vy&arl0Q?+q0D`j*ZtBkptn`IQq!a=uUr1{XI>ON zJFhWQxRo;EdI_h+wAbv9Ir*QV)e){32j6CxrOJzybxYy}yiT*6p zA>~@+7SB|<%CG9WTvGq!0CbIK^=+I$&*vO_nTW9ImUF=+F1MSPY180y@l&NL#8Go? zu4mHP+jjAcWJhZfbJ3#+RZp9~2F0GkAKXamZET-Zm|eJ68Xp&JQmeK5-JXq`2wjyt zB<5KmbYoY@J4WXw@;9^tY={^^*84gg=g`O%}dkRZD76jnfEAHVw`hcD|d{Xp%?T;biLuL*riu|hRpbt|H+vUmdC=2lXERmsL2*8eEG!Kc$RjLb8fqBW#{3us6XGg5&x@p>{HyNu_pbA`(+#BT9p9LY2MB1?C709?@ovPy*;mbf{r%# zvIMO7*wl=lIFS`V#&fuyGX!rCzBR+aac`#lsQ<@x;wR#N!mm?-TaQwXUk}3Iea0wM zu^{PaP@g{K2d0%EEs(;I}&EnU?AU06M_`E7R%8-X2#{ZxYcq?F1ZI}-R?6ISep!9+9XR| zyshK={Ph9z@wEgf8C$Zj~Kla_Tdu#t$3$RUbx7j04*4uHYNge1)*E9-1%2~oE{{f*l_!j zeb$~WZFlZZuIzBotBkQ6O66UbJIY?0?%z?L&*r7-jOhe!Uj7X!j^1xeCOArPLx%@k z{U0{!NsL%tSl}-=0MjK3DLIaQzfkG?-oC)_Uwif+ZmHMxQ;L-}Ge+62=~1>=sX8Nh zo4Oq!ii0Cwfm-ef|HLlvNuvtAQNiM1_N;%C=XZ)w!C{BiL=1~-EW5pk&U5r)`6^idITFd32tuA zJt9-KE#O93?5(s5v>))I?Px=dWYrsOXbVeD)=Z#?saQM1ZI2l{5enFKra z_-UN0srBYQ%w*|hswoMao(c1-prJ*?vvK9|I)~l(B-vg$HE=z%=OG6;KG(VQzPbaS z)?*+&t#tU6?r-Mr53lKd20lJAD8LZ9KQm>apQ5JkGs8M|MPYA}*Q&^5DDFDCOhS9k zMYA%tacx7Ai)F;d#8xt^3>ch~Tfh5#1j?#ba z%zwU+!V;*e5XR&H`QawVJa7}n{pR|srp2oQE#T;jHZR_fU(UzR*>t+7Dv>b{8?(`-hcW1&pkb{lOMd?KUU1|KYEeS z0#VQB#+!Ane{1Jw>yY}6u)lv7o)8f?bCLq>50NVtK{m030n`qR&UZ}$G2pj7;|+CZ zPa4vuVMmj%4aKf2UxGYjrcbVOW_6Rs(JY3#omAF=Adc)z=Ru^3Pk|}`^1ClDe{(|# z$m;NE9-NsN-5#&BdZD7H1DAz{;(ex`^1VJ{XjKzWbx4k-)2Nn}>BEz^OrTE;8k)4( zOWuLtvN^js!=~1|>G7CS)l51(Jos`F=r9O4{X(qa<`_ThtcdRyAI!ZZ_yd=me=jdG zn11}gFQZ4*(v_D{IeIa$WTBMCxJ|A*it$%%bMSKLrMP?V&Sv^%f`QX@p+uv0@E=z_ z6frDqMnlpxe&1?8>3&Z|CS%6t;GkMk{=&tN$&WvlT?=L|@{!?b1%N#^Q+u%~Ts^se zF71k&!C?+4*(lt{F`7}*4HTkNY}C&L;&7c&{!L(S88wy5uU zM$t$;ZAj?p#k}bvM^4P}(I_Um)8ut_?`Ei>J{5s0J?ER94<~;c375PZ604BwP za`;zY-cbvAZ&aM*P`BX=I^&KQHJ~^J2+%hT3#6!!&@ww66q^MwF1)LJy zky{m0h%RPYdtS$Et9=Kmb>j8`js+=FBF1KLx*qLl@D^fT^~)+7*CLJ`4tP7yISt>H zZeB1BVwer5?T|04Y65U7sUSyWcBwVOZPDP#v8-D#&)eC|28!ydemC~oEA-0k$*@`^ zJu+ErFz>AQ4I> zbl5+@jp9-!ae6LQULW>}@G#?YRnF0?*LKs@tzOu4iTpOSjLBoP zlayyo7duMw!4nQV4ns^DCP#r*RS|yKb%>3L+|B`w=U_bN)jo)kEEgRR+&I_`v_Jaf z6BjOR^?}`90E^Xt`D9@EhK8(gClM}O6J6q062F{fD4k+5se1TLD@{KHgQtKKu~%Vp z!e6s1J(MJJ;UqnBVRC3^IrZ3iqnwQ=f*F52+*F|%Rtb)=PoqIVcsp;uqADO2>u_=IJlMC4F5>?_ z3rW;|@IK5xq({>oV9LHCK+|*d&120eQ1dG9;&ECKo?xBr1gFJRlM5!Hfj>Cz%((`U zNw~b(il_vCsFkARwaA-!sTzMc5QN1c-!+d99LNCWM0-_NB+?0gXXAiN_#u0| zJ?BzDvXsoF86tSGO>{tq1TDLw357JUAcK)VQ=Gu0O9=U$)j;mvu-ZDr(*Y_5fxIpWZ5|LvViyKq7PzjZgAcnLsd&(gB6rjPWE; zkla0S{DW8sK7~Uu&FIG;DDk(}H#Ac4M`v?WA!V zTl48nH(V#5jAIhurd?c6+pM1!%1s`Ed2lGo5O?Im1#!o28wC``8y%S9NIT>7Ttmm` zX9e@0n__s)DRI;uy=FF)W$L&x&l69yYX_S=u738~(N%JDx;PUNG8vUuaqiQ$7;?q! z@f_)K3Vq6FFD-e$N-$)KVm1iCEC&8?frVg#2>`O_-}Imv{Nj41MQove=XJ1UKSIgv zBqbW5??C3_s)stknfT1%zkun&J4@N2Lpw2H@>Y2B=&iw%Cr6kQpxM{gcg{VgKm|BI zw%)=-PWL#r@~wrZ__~(Ce%j011jx=68(N)IfeqT7n#1F5<2bx_Y|KWA!iaP0LW#7k zH;dLA#~3$h`Z4VDEtx$!g}GDnRg6HH3B0#Br*G)hzck>6bQe(8Sl^+j6q)5l6cSvX z9x$SSfUq%prA0tD%+D`o`&9*Z<<@9W?Xd;zDqbCVXx9#ky9B}d;9KNTB^5-;9~A;> zJCV}#XHonT{fA5QhDQ=7%Z;&}Y&%#kG>PZ}-qCbR;*BH&JrK0W(N>RhQQzGNIeZ2M z)c1ovjy*?yQlwHZn>=PV05#+br1E7%b-lTd#`tP_v4e!|amv_MU=RFg!EfeoQlya& zCmG=qYFTC{ZbRfA^wwTR<$FKfGnk z5Jhs!nM<*|7%dhun0fpDfOWkLzUrXFL6t4_bERCqMgZVizn;WXCVp3xovn{$##;Fu zTa+u35VI(7ZF>kac~2bqgraPQZC^1>8Dv%sY~&+d3MhqEXP9iBodP-pm~py$yqw<3 zJU{sQsoNnc$Ti$vZ!NGFjho|`SMb)G!_@Sj#g|_nx82DC;9{q z<)m$9c;Cv9^7BC^W9f){KXPwz_~&H)DFuSm8*PHdcL%-u3;}1m`c5om1a_j)1O5P|K^^f zfAZ}9zPNy7L&bCEEs_=T3d5xHU7gORlvzUVqX1F}YWe06c{ro7GyG5P9yjob%&3q0gr|U)w0)tO%&aM`SaLKskh^973MAHr@XQJ*pm^{EuPFhIKJ|2 z={R)|OM+VE%7sjn73xXT-KBbeT~^h>wJCpIx3pG=Cf_jCczBhLddSJ zE=ow-TWnv!idq>2iFXZ2LcH!@-@*1c8rDJR)Jfl)(;qF_#h|ZhW7^_Gy&rnI1>STU z=!*vfi9{cHOla5G{OX`|mAf?y!Z>+OFK zfX5FtSbH?F;p8sZ7Z5qze5XInvGnNAHpIA{_fJm}DvgC1bqM&+)+WE1C4>BEHR$Vf zEE32*a;SXFo8j)|3&1kQ0*)RQ|0ho^*muH4NRz*J#HE&@U7-*`QeBT(3wB+AK+`EC zeppnaIdfR?INx54$L08$-WS{twvyM`gn)l9h!B0?n+B0k@$P3H=7mMjZqmaCn@+ za1xj0Y)(6HMQ5O&*>AZD2;R*)g)+QpRIQqLmkGf9nIZ>^ZMi+3W7c*T#R=;Jr)b8Q znKKgEgjsayfa_!ncz}7Voo+wg>@0K9{22E3mSYSwZB}@tp|Xl+noDV9d$}(-(T#&d zy_QxPonjoiCOTm$C7tp(4&B2W07Hk2#mapq%>txQbhnGQy7 zb)|WE5x5lNi#zE|rmI3G^^UG;bYfO&5=Ue0kl7Nb+XC(dfcN&103%0dFdx(J0%<;J z48tE;(Y@gdPKj)sBD|_<=4AJ&)}FR7dpv(fk7L9qz^+8eDnr4(KxVay1BY~&VOfQ& z5eUW6Bz6@DL?FV=E0DV1KCDeHrlNq=?10)u>}S!;ZbQ|qM6HrV){iWY%D7)!-a9&} zNGDF|OgorIE>==O-gFCg-8~EEY>plL9CV@FSEv_oxcxD>hX*Jw&c|4jA*beCB9yGM z8+7%p$R}1LVeKp?G!0pYFOHUNA`jRy^uI+3=6`qrFuQ@4e2Ss*g`B-!^U4 z8%#l5thr(v$R&I;GVR7XI(Ms6I|xJrdP%@Zgy3kaRMho#($f~D!)c4m>-vq%J8nUB z9$!;2Sv#d#aTprh%0jaZN;c$syEzOGRCh8m$H2MAE&V-A1ca+9>j|ZTx4&TRxJH>F z5slh%up;+{8g?)+h5LQt z^$xfiF$5S+y^WY?Wno9qP*T+w$Wr;}p@7J+_aUuh6l1UWlV9I`v96{&f zxFVpqi;bt%>WedSCB#DZgJE*RbA*N!Be-h3@v^6VGY+FHC;jAr4urwY+WstA(tD*FBPfc}a1X=g|69`B@hi3MV>f_S1pz3HGytHnyU4#qOd{s)4wwo4 ztZY@H{$GVdlr$jv!yvC%ga#BXZiS*uqB4N2T={!aVzPk6jEEfV69(+WlH6yw5{nnZ zi$!Fe-vr+|y~>V+SN>7gDooz(d;=+J;zewSL|`3S9^vTU^i7I4PClB@OlrJmXC|2d zNGWv_QNS&;tuO6LJ3{HNoLq=t3eZ^#5g8Ep%0DJ1ka$%cKJ3P7w+kdVHa6Rox>2!X zxJGihQ=pLHJ+5XU7Z(^bZj38(dvp?DAXyj9heIw5I)|r%CwZlNJ}_CrLno@tpPtxG zGOoS6FLbv(QI22Brci|b_*UK(Je%CpZ`;7N&aPXhNMt^O9`rc@8Kp=MIw0tA^oxAyK&-ez> z06MGn8JlCQ-*x#{^TS6DkoX}(1^#Aazy1uU%`6EpNu@i02X%g9zWzR2Nx-=P2O`by z{li~cMdt=K*iWL8g&~d2XO`WMQAFTUG0cMw9kz?$jA9gZ2s(^b}R}9p-wp-KvyXW@~aOg97^(O_+&&U7M z5b((}28e*^5y^g%TKqv4^Ff&f@Pm#3DcfUq$&@bdoPd-=7$yO{4J z%$gd8CZ{)VyJZCKCFqs&q~dkuoyzBM=VPP5oH5@BfGeyTXu$$0>z~u*^$2E&QKo=9 zep3Z942hYS)bJK3-K2`LddT>4~ys5y1U_}6+o=2l;=Kqk_yt7vjPp$$!u5rAY zh9cDi|0t@Om+uR41(>0$FM`!1i2w-^2f$Fg#rORWZjryubLtvooZE0=u!>kr&}r~M z@?Kx`!#e_AN~w$*GPCB>LzKU*-K}6|0j8|2-7fu)uYc{wyo}dNCPZ<2eqZ^z7Z^x% zg`}eo#4(oMe0_r+W*+3Q z2%6sqp0~cLzN>o*Hp?`FZ;c1`LZv$Gk-w98-z$|Wc^GR+sC;&J19MS6F2)}n@cXt< z#$jY^_&KsdcVmjT2R|zPIlx&1@C~n~X+r*8C+`&#UV_NuT~(z{+b)igkulOP(YDY1 zY@?1tV$@9%=21`>-LbwX!WCUY_2&oH=_|*<9LB#brTdY673J$lFYS0mJ*BWy)Gdws zAZ|tYNHb2;(F{YSBI->6Qh=w25?FK_%|9uI{v#9ANWO!d#xeIymAns=DM=42Xi+h> zwq8B&v^vyg!UG+m{JdePf+iZE7-%~j&Di~QG9KEQ$MN#gxdPcy&Z*N@Mg2qWHlj#5PEt4_ zuWQmJ3G49Uv&mC*zF)8EGRRztJ3 z_f~<_zBo6m+pTi27?t_KCi%yI8*796QdlYe#8~^xbg1SINBY5Z{jE7b!}0Tl%AZseI5}10P4+kf>W-azukNTNp8C;IdpXg| zkuT#cH|IUi4B!CW3IW#U`d1r;pW^wexp$8s`lu)fM#qgeHZdLE+kxC5E8@xSS&IUw zOHOW}%1rEhU>KbE1D2obkST&Cp9CCe`xsEw?vfe@3WFP zfIQU(4cMLwcQNJ^tF#-;iNMqTYj`KZ3VZA|>}g0w8k zN%^Jg2TAe6N1Eq_pAk+`!8zbRy$MOV{G7&k%*NRBAypR>T9r6#^OLgF<9|#L9}zz^ zSu&53^%ExDrF5BzrjwG$JuVWR5c=peSp>AVp8EHbRZ1(RGC`z*8Pj!3E3Y5`sN?5= zY^3Pz>!2UzSe3#=&44PAp2K;r{=-4wTZVbfHUhHPP8 zJh2jb5VSeWX6Wm#{wTP@n1+MSi5tD+X>FHi2SBm3ygnkwa^L7jMJlp%?5|{O-rFEc zNDO(`GZ^v?^-19kop(dR7rHb{F z^-XG6dU|=GM_yRyhDPR5-3^svKXg~7@-wUQ28Ta=2*<-_Dg1V6eoCVYSjfdUM8r_~ z03UM*A^_)CR#skIBpHGSBt?Yf#p8C_+4=c}_e7N2ulh&S3fYz0l|JJf94r6QWn8|y zQ9Mef20UHByp*sZDyppi30PnvDfIw}t$0L5f!up>$>`t=smZs> z;+6%ujexg!WjK{z+A9kBQui?r?uCnsg%|U9Sc6}Nbtpc3Ujv9b=94^ zm#2hr)bF_xQPnL&LOcT)(LVI%_7 z=e>?vIpBPWsF)-~kq)jjD+S#5Wge9QOs*uzRRl3HBleOZWOW; z$N$Ld9AHd;em5Tb{7){m|7;n2c<{$NDWt!S@S{2r`?24$|1UlI&+uE5zrAn(%H5_&wpV5LxX@>RfnDw6PTRry*m-)|E34Y$+8<2wPzaU z)pFT04I`_nz?tU_bgH!xfVr1?AQ?gY!;(F8p|$4QX|Rj#!kk7_TXDgsqv#>7dzIk; ztX29_Kj@$S=dWE+B>`L#Qp^v={~68iKD`wNb|2emc3>m=-PeEq&r=kz;Wf)|q#n%Z zudn%4Wgh{X9I!Kna2ouiXa3vQe?4az065Sws_=RDbhrQhR#bez&<|Rz75tCi0Qy9C z?*N7)@H7ARU4MiqzyNQ1?pZ?Qq{^8(|0>V|bCeDHVUp@2WvjyZK*pXEJ z4-Na$(zjz)hwo(Gtk# zI#mipFcFIS*YRtEfH|ho;NA@3`|x<$!y}MJ_1!m`W;)Kkf19W8bYVEBOqTZ%2GLu{ zv$;8%tJBJ^Gy${lloa&z3~Q`^5#J-Px0pmNG=sbl6@*?`PaTg3pHnMkjgt1z2+`q; z{#&rD4TuR8q)L$&z?Y6-XdkDR>>6&4ZH6%WuNv-rPc(n#iw6M#{hg-7-7Oy=fh;A8 z(~rexf3_N7?f9?V`v@pYG($|hF9~WLB)~dMQ`c+W79nY`s$abHK=1n7iSptDrW+=` ztqO3LFueQ-IHJ|`6+NwbO&|Y{E>Z(stp2ba`Up}B!|{AUf1;_Wu!a43yjAb!7AKAV zzpVND#X~-hbCO{gU!8p|J{-}0NzOBUQA0XK(q>w zpczHQs2>tC47a}u0rhHV-Z3K|4z^0)q#25x8DZrxE8wOezQI$HBbN< z5dkw?dyMuO?!Q_BTOhhB5G7C`@#L$3uH6b5EE)%n|u(u7|Z|H zz*K>O&FgOik7zxI=hAFv)7NTziAV4+YuMl9KA>@PGQxu_B~NVz2+E-H9Rz(kZNQ)P zp2y;-{KMt?tE)eNmH(h~Kpf_!A2Si9e*O}IY3c*uSN%@jfW!OkUU663fM5ny$P0s7 zd8Kk(*_)#!B1q?XBrfN_X%f6Y5ZKECf-QOq&r&CbYdO!CP=EXkq+e7M3s7VI{%!um zz^Go?mgZ1F9?%RJKkIQuV~|bo(T!_668>2AZ?Dn<5>d}tl#zj?mKVHX$@V}R-|6~S zT8Q!xGMWdU;&%gEzgMI)AyYu!Pf^#+?Bf)yz{ypq9eja&XzVcmy*R9BOPofLo%S-L zhDHX^$9KM11-y__Q6mpbR->w`-jz%g8kT{6rbNW-H6<|&ppQu*MPsVEaV=tbumz-^ z)0svOOG=_Ne`bUJ?}p)zTcv}&W{XEY!#~nzEwh^OkY;exa&oI zG5FGDhF}q0uq`$|#vJyEnU%Q*A(ZABl6A~3MNH&~?gsByzN{23X^AGwBDD)0AnNnpI9r_UKpMd|W^tE-*X)y$Y(ov{w@6)N(tnY-Xc+Z@&2E=CN9@OTtN` zv3!1Iueo~G#mtwQnj1a(^0`WtcFx_BwSTThuXpe-$;q80B9@tVK%LN#uPEj(XjBOI zbW#qmOh09J3+EZHgjn3jRu#^f(Tak_(2UR~EI#O%t@3heW;It7n%Fy^4hJNR)&RRQE$@q%D?_JwFT|SVaCB-zeYnwjZ`09H zlA4;+vHJg3^RQS*`kO5?(CI1%`%U`N$~jZEFNW5)0g{W^nUt8rA(1$vGC2zPukVR| zr1<1F9$3Y38B_!%N@bZ&d)E@1kGKWUJTI}M}9^VeaTJ=vNxlQsyNnJ z_+T+-SNNK_N@;DP#;N#vwdV}hO~U>ykpgtc4RotWa4tC{{L4g7{RAh>K8E3N&A?XWuOHCMM#%_KFxY{F<|d75nZQ@Vi!ceZ6tLDGWNbs# zlTTVqVJqod462_n26wIX*HA?o*#r`PHGYlTw(P~?N=ZAL8NUJs=t>A{0_U&T6Ek#9HdY3Bvu-X?V zGA8OSJk#`BG3Lw@nl8(%p>6_CV3$wUIc%#xkBN#}z1MO`C?oLtc%N&wj7fxjf$9Ru zQ55IU)w_Kein3=G_a`~@PlG~)2TA?hEUe@1Iz4iiDyC}ev`J-{X{aD5_^6m&tz8^f zD@nl{o;CSG7Mn@$D0C+2q(Ys<_3=3GZf=o& zG?#0~aG80RUpnjXPCAG%JDFF7=fJ1Djg_JFy71&MCgr+kvZAJ@fwQvX?l7Fo3fyzL zYklzlD0}O$sJ8ZhSh^$>5kX1?R2qiPK?Iamlpa9o7U>32P)R{LRis05=nw^gp*sgb za)42qp?+)hSm*nk_qyJH&b8;@-g~Wk-5sC3&>dCEE71!nqHZ|qlS<_eD+{SeI(|@B zd)yGSj(JaM+TXsKYKQhgo$W4DJ2-H1(-+yUqYY1#yi@Np>@pQ1*-x*rH|pYdnjF{g zTlvP9ml56D`FUanmt~Gt(DHcB3xGe+_^jB0lcQFgbr>KS*;cAHKY3$mdtYfo@vwhJ_qsYo8B(IRv?eB``IrhYfasOae zTU{qDZ#0Yf^6>HW=~nTS-q26_$7p7)VSl*H7A*Snfb`>Fx5Jirt`@(;&mN=Y%g^Z;5EPeb9Zgs@v+tw^d5{bqJz7_fe5n zw@Kl!{wp^<1G3gLivbw|ChZqSCOOBD+Nxol^ImVI+%p#tE75CTHwqNh7aE*K?QZM( zj(7)qcRBBfekdM~C_JiT;4^vavk`8SkG}3TSJ!Y5;r+GU`YJ>GWtqKw)hP3N<<<2S zJcm#HJ9X^3VhQV|`wd)G9;4eFQ>TclfO(FLeh38#-g0Q2dQie7n@M(e^S6JSz{O|& z;bhybXc=3(ToE);1Xt{`oX`-tcPDZ0H(%fVUASZuR~>&rhe+WFd%t=z%a~L$VR*gY zN5-iBq6mbzOB9y~PUUc_yOFd#?%6}q@fxF!r8qN!j@!4R%@Rk|OFIP9A7rn*qjB#~ znjH2yrVi(@IiVWpq_^#@!x5}n_ndG}`PFde_UBn5iS1rG^7*%B8HpQqF^BBL*|H^G z_InYF3t@a_UByJ323FxS=TdLD$Kg5u>Z9IG-yHG7SjQi(YOd^ef%h%+pTx zcbNpFrX+1Ey=h~$lNL{ngK498jF+?aZCGvuM(Zi4a-1R;Ms-gcMq6dl8H-Fld~%ZB z(Dd-6-g$z(hRbLV`BcAM?$#-KmccmK5!y{#e|RF5a=T7SblA2Yk|@FOx}v(Py1w4A zN!|O%R(Efk5Vb$Mv~L7|gsI-}r8dyKbZBdM_%VWt3&qm@NCWFYmtSd>I}s2`8jl># zXj<5@tu{S*m7hrNZ$Fk;0}3fBLr9uMO>Bm6N_yEmxEW}b!`}EMY47cM*iN1Lr&=H) zvd@Ci?g|e#O6O|)4w79=3`(u@&(Dohy5pMDtL%=-G;r;)i%w4t&T7sRu3vMCK1`vF z?U*wF1zyL z8ncu&uARrjW_1}e0(JZPO)ZppJsL;)_>H>fS#A%zu<|qu*~`?liHPDsv|ZFByWHZf z=&Kp6J;pPyE#haLUvX?rbusazT3^^R#ST;$?jM2JU+y787{0^ii% zNM;>>zU$UzxZyM!efq{>nS^#{YTv`v9Uj-vm~HLZTqHz&awpgO+d|yVmjReP#B}pS zg3p+#O;Q+VMba9~CLek{{rOO8--=H{PrlW%zk9;Sciq9`^9%W*oeaV*=H1n6Ah>i% z^Xn>Zv?*I|^O!Yad6>f3+Q7zr{X_sC@c=W*@x7CCwdtk?-@h^qR0KGy;u;~Y=jSJ% zBodaJr-)a{Q9!;BnewIWWuZyp6Oi!8Iu*$K+7R|(-#5wH_vO=lmc2_c8IZ+KLZgUHH zRGtc-QlOdM<{`C_Xh-5uahc#J6WUdF=gyhVp%pff`*qT-BO8v?*92e~tKK#4 z?z(kTo5W*zMV2fF=9@~c;fzHv{;{_cp*F&cmRfy<+;4~OlW$|f@4n?^?`AY{LFbqx z1GkUKYv(OZ$@@^6%qEuAb z=#>JkXlrt(%J-g=3JLJrsKB>PtQmII>lJhRL zYp7VnIck4>?I#w1WCC!D7hQ89g0Wctn}q_;dq@ONiLV9eAivkc=44%DPQ{pA+;Aw`%0^Xd|% zU0ZZ5CiyW;$W(O*EUvoBS*w9xGf1~E(QJDyg!9X0NH{$4m0t}umJ*V(A0xIoF9PR% z>C#`kA?-0MW`6LYwV+uoMMlk8Qi2rs#pwq-@S7QDL@9wIt(9I_Xfjw*k_^6dH1UY- zyE9$Pk`608SZ`_Y%*}<_J?1p7aNHACe}|C%oTScs!PwlydHpDef8F=Cb`}zRip}6* z^JvOS(|teOqN5!ji1bGkJ7@YB(wbAwxc!^STUD{?iKP?xkN*P$-!vbc?KXeGY8=_P{_ z22iEHc2UC!S*+ZmvUcgohuA=DaPo|`=dwtioYVf7uarteXVM79*diR-+Pl8OK6qco z#hlp=giEtgP98aDH3>|Xzbd@tYCCp0L3hOUS{t@53Ib(MCnM(Fy$1cF*l}9lR(d~0 z&i#o%2PKok;^NdtR{pO2+tYUHx;0&5v!Ydfrmf5tOz(OMPj1Z@H`p@GZ**;R6r3}Tj)xagI7ZB7UH(a zq^--h+{tunk+;w8Y|26y;RVOjxTt-#QncW>ieFJC3l#|ngQJV9<|^hkDAFB=jd;YP&Bqr-?au5F=j)dY=BjuqB<@LNre)n{dozxA5977a)wwU( zvHEOFap%0JvxHYwJ<9#PxNxd#M|Pbomjpdul1+;UnW7`A`#l*YZ;1d(kaKG-&X3E_ z{WH-+6tzePFq_vl9nQgNyll%;2l6tjr-~DNd96?6m%dIgjX)m0F2^i87_kid?%e0> zQ1fE%E&P0y`1&<}9=c1f5Mm%HYKep7M||QTON?T~+Mvg@yYnf-?U^y-W)VwkX5i4| ziN1tqtrsZ!+7KXCgnf>AjUp#%r^;`&zNuVoOX@taf+}cgu}GGby$zFAcszMz*&s3? z(tcjuXF5A5+`?&4qzhi%SE6mXBWEKsa`AHFG%Eo%Mr9Gk-@FjB?|b<8wYa^U zQU>KSCglz5NYbs`9`tf3t3J41+BR^rhIPmjW?B8t0E5wkwAejadc8)nw|>0uT$UTx zvoMH^i>oVEGfzZZ=1zodgWyP~UvoaJyf8+{kNds( zLbDZf;Zle^^QMzrn-m5f9X^?DA{?G9n$d4=#L8t3AUjdb|Pt5 zw%~6-wg{dk#U5rZ;RAJ;$?qL97f&6P@q=rm@~1WBTvl0JuRRLy5WvT!0olInbK{r% zq1Oq#YfKS{O(d`DblCtYRf)O#o9Ib}0 zfyg$BLgX@0()kPj6!AWU`xAPdm4YKSYbp_>tfA**Mo4X~H1cMkF@uqGm(?Gdo+j!S zC%=M_@Jh6t{`}Uj&d%)XNv2*T{f;t(XT>;?5YnQ~Y(>E9-3@VTy5sS!7jD)ayg!Gc zJsNATERwqI5cXp8t&!mcK<$l{_4u}xE0enHonfmmw3PEcWFA@I+*`P@DVh>fWAEEI z@x{KIUd%hY&Za&kNqNrAXg|1I`JqzOgmVXtmXC{U%u*>pR3P(C;`!7@u#$ZN=`j z1VL6q?GGFLK0TK|&t=l-nsr?ZT4Q+7AHnqEGdqicWJaUsv`Xu}!RZm;S@;IGPwbX< ze6bilyg5|cpzG_rg)TT0oV5+4>rn3~NA5p9Lv9U{k86_Xd@HR+6+BKo!5Rd`GRA&< zd=Kh-Ha5PoAiT&tF7R#4(3dxU?rMgDG9h|ps85=_@g}M}^L}KAk;mVoyK8p($40HM zHg~@EBgA;>mM-0*OtunEKkCY*^qTxuuwURG>-shaDKFzU%^CF~VJ)YIu*SK{wW!i< zAE$TiTX~W^d5{$)nd^MM1ren9E4nC=r+r6{G8VS|)=4T)P0SD2!iJckg|Dgl0Hy2T zkR4U?z7&U=_%XI2=Bcb0=%#wC1*BdM)zYV!zA1P+@#j1VDQIKq=yJP#ApH$Cjzwm)$8sG}>=#Pil;;+yrd z)|zIF6E00Fi5wWq+1X|+O7o6lj^bhP$SR^cw4$1 zD~_F#=iOD^j}6?pE7(`l822aL>bi*5OEroc`o8UzM`%}7cLsIpLCaUCphPHA$C=k9iF~uSj0kSyV?jAcv(Z2-{P=7FBJw z`;T`VzcJb9;bqg`IBpa2D_fyGniWFrcTdH+;a}s9957ePrfkRNaRM|*4)&4U4@b>f zeZQp&UcEU~C?y=Ll-aAauF{tVAY}crv8OYLCRHdii;!oY2 z51%>*@}i%r`7=a_%j)XrjG(QHBc*l?i_v*P=J`=a^MoH+Ha06O#3Ffg>V2DvK6o{5 zp^x{-1gzIJA{->u9?yC{ZolbZIfdEUmkjPtBk{oq-;uA$>-)BBox40H6F7hMtFN#9 z{U^)b3`D@3+&B{utQt8_;}nRQ)lOrlHS{xwcMhFI_rc~~>xzv%Nt{g4gG&%r%65Jh z=k(&f1X0B#Ay2JvF|0D(?k*B}Q^TRBPOfBW9vpsC&$6XoMJbagt`IR%saE4Pv?94W zuUjK?(#&Hcf$iaOQCis}6J+HfJ<1Jsm;&zsP@s&Bi_6LMR|Z$!yK`7hk-jLX<~!?LqTZa zqxmiK{y?}C8@jHnq}jh`jNnsN{pPI%NjNHfmbrdElFO)U3i(-rYyTiZ`f6)Zp>Z{5 zaC`0-Y?`QL?5l`|OItS1`nT>>9?S<1^^UcIw?ppan9af|gRk6};Du-NB&ZN+w@hS~ zM|sD2pNFNT>mlcl`tIGe)_X4Wv{L$Tt>^%aM1OkI;MaxZ=q^c}K=e4?tp%$s)LwJP zc$puRcC{Ms`mwv`;;_^hnA+b?wXoO1aDJ|2I_jeCG^@v%>!|lGY||3Gh0S&4=@&NB ztilXOT?Tl(c&dE^lAZQ$rY2=?i~p!8zrUPL$1UZdkqsB>VTr5v4k4_oCW~E?*6W^m z17pT81%i*VlPsQdON^np(Tg;yp&xJG(ZMv1K<3?SxiN4#*5^sSXOFg8X}=5}*IrH& zHknvq{YvISYbwwp_@iWVqgJY@qOY_W5BHYYC0 z6%8Y_t+RQiQ>xf^J^P7lQIwu?YP-xbZ7U_lE|csOxd9C1u*H!0QJ%M*Pb`f$cr;kl z;vs#?8V)2n&(Rs}cit7SQX7_qAbli~;H~3}wskznI+uo=VV@!Ds1!T+IDX;UQSTcq zZ6R8}qx>%64KAaDc87tY)e?IHaWWj2(?mMFTzdL_9yT9G z{$uw+dfo?%i?Zx| zsaFSM%C+FZu6(y@J`8ZlbY409Cgiuc?m&!QMvYiN)Djo#o>~EpR{-Wt1ey<8$reeS zKk<jlUJSe ztMTX(P~ZsfEF((>Wg|xWcuTkx7z)0F_@}((-+}MUP*WZP*C|i*XlJeZoE67r8g$@H zjYu@deS)d^DkbALfxg>Uh;%p@&B}Md>}Y9Asq8W}?xW8jT@aup-w!bD5lrVfwjIb) z+?BE~_ZB-$p!!QYwqxnWb)34-$6pz{MH35Q`#w!4S!M3E+~}1>IKSJKNmAiN7ndDv zEX0}4w?$`^+Mi$~5`;L>s>GB^iy0}Xaq!PRiP6)AOa%}#!j}sy;@TgnBQ_=n6B{t| zWOM69z6f-6!_f+VtMRt4$hzL{Cs?=GBQyGp%A@@__v$CM0yuSk@x@G2$4I4a!(&Xd z)BMdY65m$4?85wF!s;DcTlO;jXs05{QTl1aR=Ku8Dwt}HiMyjOI9$)%9ZDy+UffM<0!X{ziikGKxp{0yPqd_p15@&53! zhpYZQdwfeb$kB5L+C-=BP0e(i@tFxWmV;1!u0Vf%>Oj|mvVu@6= zlHB-I)B1+eWLh9(*JJGdX}^K`T~6@p+T2E>nh~!i<0%Cx6PC~+-=yd5wO@|e?Zq7< zV_s9Ttxfti(qFE^^qjJ(iWsJ3;1woBfmp_mFLw*?h!QwDef9 zel0duTK){H-`(gio6l)|bVojLUEav4OH@s(0e*8}z^K=eZPP3ck?*Y7$R$#w-e^L& z%cL2R($70CEe}PvCZ)%@0q-ETNdz;|n;TM%?$9WjYFMdrW?@$% zLX1PinG)Q3zY*64noXfLBNlQtS|uLcpF&Ma7sxj7w~{;E=@*Gs(YAJzR1IrAY8noh zDM#Hvo(@NS_6nauEbO2!XBqOfZX~+CcW?c?nPZ3E+AeFT5Oz5%b~B$j`EmvrjsBMsM;uE96Pr0;RIah2?nck_<7%1&ABR` zul6MEbDIRo7sh=|Qm-u?BUz`>H=nU`Tl57RgrMJekoBluT7H&ezoN6};;GqS(IG40 zmky&ftNsjJ13bsHuQppaP#b#h9YJqdIo!*`u{in^yb$~rgY@Qd}lwgp>*pHV9Z z;{(0c;dZ`BLPE{w%A^c6Rz77R4Ta0oBNv|1N!7dQZgnX@%yj~HE_RoNn}Op=;?M9_ z{usc4lox0;o&D(4`|T=I6-w92&Z<1I%F8C_C0fGNMJ$I*PhVdiwi;!NF-$ErelCS_ zr`+0lz#!RT(FY0KuX_H?T+`<-y0T<|E~IPiZA~B{GJwm?-E}E5gH?={FBsdUM0F}) zxjm6$p{*0`ZJReyn@ll|;(tUQ?-4O*#$1VT?l{-wuX|U%+=m0@Gme>jU6gu;Jl`tv z2GM+lvRM`6L>7$a>=_BXknM_Z>r=zt3T5MMLTHC=L8~WAsr^jd_8rS9;rx^A2!_$6 z5q&`6R8szbm3I97Pl;~RN`eHOzdsoPB5)z~^{bLI$5JjH759G3sz~D6bv;HhC9_U5 zR!e5?oYUS8N=!L3)EB~T$;WkdbT3k|qnC@brmNbpW;A3+pgT)n0bTsnyT)>J^?mO> z>KW8$QDMkGatCfu6w^)cgd$!@L~t zV(u_or2M{qkFm6CWwpj@$E`Nmmk~8E>4>X~gtN3ROZQAIR92ao4J}2lj`AQiRm>9z zJ8P8yN8&fKcu3SD?T>^t_1`b(g;wtnY8AqNN#Zw7@ivJ$Dl6I~O;{gSunN*8>P zV1eEd-I9Md*Ff)+JwS;S7s(VTHg4fg(V6S%rUh@ojQqY&#C?cv9LZ^B=)^V(wbt$+ zZl}4-W`=z=Wc<3>H#{W1jcp@1!qo^5^Av+P4qa(ICCoL>VOM|5CswiOX}%aA5H%^% zQQQkkrsDHnklAqp)4`@obz%lLcBGE-bHZo2MH0*~>pU>mR!iZNz+y^^{GUD?&>jZ? zM_+h$@uSa8ZFopKHkv8E!gu)LS-7=>LA|Q01GfuTe?r|jnE6#gG)_X_2h#bImqi&$sMi|T+O*EuyMvB zE)d;Nt7PbH`l9aHY+Z5vO+(Di_-&VWW5un1AN&+>7QO&6vP{ux*#X-; zr0*75>w!wmX#X%F^;gWQ_F7DZ7NbW=-4~j+-k71|6I1W2ySnp&qGe{v^vRjp?JxJSK0YU~j^$%{ ztCH{b(`h!V_xkkbwjHK;JEj&TH`Z1<)XuC<_0>qa?u4uZw<^(|RHXe?3CC!OXK?NA z;>EqSIe1%x?{V#fQ^#xy;Zkh`#ND)bC!fpDrj83#%gu6{z?Xmzx_R5=;4-TtU0w=- zu|&$8j7856W2TaBIBAxe)Y%(3RdyAJp;bVThgc_t4h;+IY!$=%i#wc8mKG|B7Ak5l zm@xjEJ4u`mwXN>!_UPeLJ$MBT<~bKJ>F09KF6T5>10r!jZ`NENZwlwm!GWW?oKWL> zP0^uTA7rfc@&@^hrJy*!Ig{73I$IfwM}GTzCa*_zu3l{mhbGiD5E=$WFxz$$Zmyj_ zxVnfe>NqUI%oCLCLELVxzA!O?*KNFi*c*42d|gmTSR&jJS(Fy}B3g+RYaSk^&`G}5 z!N!r6kq91ockjJoH!ypH*!P)?Dp>D(Z2EX|`pr^_`*yWfXr(7gWx9?un4la4E&wg~nh9N7NG{1V`?wCioSv_QNj5tmZX<^)PeDQ%5> zBcz5R-l_*RFJr(G&XUee+&i4(b4XD4;SyyvD>*G78Ig0Y|bxa(5{2G z-QtzXik+yn6&ozudy^(DFHq7qPV2gHtZXkjZjgktUL+&QdzVI0+_qqAptx~h%;;vf zZTFc?cwwHIYtTLIaZ5gDQ2y6)i=G;{(oSouKc4n-n1(O{Kg{X*J4B}0=9+p@=!rtr zcf3;k@!~Y-?>{?uo#hlk{n3^})#0`Y3;Xl9~qtF!}a$rB3^w zdie3)7PVa`tyr0;RrlSP^U5g9Y;q!IR9_M3|7gl04{3KzFu4obAlV_YajxgZ+&`S4 zvmDEptut1NY4aSfIrMiyV8#^a_{w@nZ&;h_zLRgI0K?-hu;ddua6K z_BdY;v-qy}_pl|Y9?}7Ak+#=F!Z$rVt0&x$KCh(QpGFMTv@*yU&{1GLrCrjD-3c#2 zDd$_?ZLVDef=U01~-soUI*=KE5xx&=d7}foV^=^hxt1cRGF;n zaHp!G83p-NTzT{AgqxAhh58f@gRQU)uNZ=boeZu}I-E|?iMsMK z?JY(bpNumUn=%!!A__#;U%YSv_ZAqgI7{QI2BL5&nj0H*N^kdc(4kUN_~YNZzgeF` zHRYo7ef>)Fb;@M5K)M*zI}a)j4s5z2qq~#l+!)EI<&4{GZ1VYcJ^RNZ;)@Tk75+Lg z{QZB8*;L*DBMTusgm=NPS2%7C_>ifpDkJI^v|uG@FvT7syJ zvqjQ7hQDco^@Hv-E@(MF;^?sjio5_@uEl{28**@9p#iSLjCXgNd{KN4bY3L8HW`S` z9gJeD9B$|T$5`2Y&~T=_f>KAFdQb;d2r7LZ7S`o4|HJEgNAM7{_2RYc-ff?3g%%Y? zcJY=0pdd^KGG1-7*IqIvN%oq%`mp8WhUeQCFXX?LYx}SKjqp&Z0(RTMLp%uj;j^Hg zo>3;Ua&k!~sdPWAb}d1@%R+e+vY{v=Bh#JNoE|3_s^uEA81m>J-}L7x`E!GSD0Ui* zxfooXPP#YLGu>`|`|9_H#1UHt(S5IR0;>GsEE3;g5$jf>uPLY;?Zt2H&SvWgJ*-T)JFo7VN zUXbV11^FIL{QM_Bckq2fPzNw~vZWPycnZprk6VvZIyUw$HT*vxPt2MQmV{rsC`cEe zbNW-4t81H%zH(e>vGXBFasKt>U-Y6P!_6tyxVa4crDvRxDcm!R0+*V(9A(JL{x1*x zpcZi)80GsMHCG92+-V%pKb|bGKRCv5Ta!9U&WY+zlK!R@_KFM0r8gBwdko@MRWasi z!&Kp+jCXbZeRRK9mJc>#JU2oKqV*?u@qinNHfu`~D z_^HwVir;_zBmt9_T(UfZo!41n2}sFOa7x!7f)u*9R1O$A{`If^yqXpcxC6iY^m{6z z9#>u-AK|SU|F5wrVngHOwLo9DLQsL`E&_eyM-?{({8GOU}Q^%KteIxW{ zJZSolVfMy!QJ@r6IbNWT=Yl9YbiXrC4+N*$bR~gW9}HfdA$T5=LT64yalKd|nf@=; z0tG{A^U3^d*}@1I)r7BXN@&VyEo1x0v~FXWVG=UcW^DG68L*Tz3*sVxHUKc0=HfxR z%B`s+6WWf}{~F(#R>C3o-fC+*nQi|BZ{4)L))8m5xrG@25})b73E4@AWcR@fW0P)p3xV*=z}S=G_L-hmkhl12P)&JVyoi`w$UrO4`c z+_?3)PG?oNU;}gB>1hi*lr2g?N3h5O&BnI)Bx@94qck?kc5y)fAGs3b0A~DykEVG7 zuzkD!ubxQd4m>51GX-`^YAiO4iuef>%)TUev}Z6ea$Mqseez#9MROi&dtm^v0u>b; z1GaoNpeYcrXq{IZpHoNqE2cl63^q)9RAT$1{4sikBe!Mi;Ul-Sp!BYIMB~qOZNOkp6+*Z3$DR#pjcdYZimYO-->)YN+ z>{D`}F$0)DBP8k+HCP<9j6g{VoI#BnHDAcK(C34HEr{$Soi3M2)=6{;9jKK@KbrA{ z**7cUzh~=#xtjE*dxIe$l}fd4$M2m$r@^F&MqE-0cDhq8SRBv1#uhsec z+u&DsbS+uI-3zU#Xu$YVrvNI~8D5{~qx;?NOaqXR`AuUWAO;*g{Kg7F3Cg@QKVWcv zsqgzr>3RNgdJ2gM7@tt)n4H3grv00Y@e{iG(DlHU%RmcPG zf$ywoOSpnrt`?W+_C;8L$38? z=p7+!XCn*M4sMr3k0a869+;?N4nFV7Qsov5z;E>;N&L9Hl`-|#v;C9s#XAI0wpB^X zYOooj^iq4dJ@1y|@+_bpsB{4Xzu20$1(zAnn>V9OGbG%mD#H8|G#`I2`u!H#0AqaT zG+FR`5wN6bl8qp4Bbdg z{rB|hhhl%%hDDh7LftTb7&L=GFdGHSOcRyG(9C=C-v6#L(&Ipy!jt6F8d#!Oz^ymQ zM!Nd&sC#F{e7gSD0w3W14i#z^lhYsJxCKsmC(_j6hIHTqUbx>_r)&2a)VbeqgGadG zzEPBbAS&$Hnz`0^1jzr6`d+j0`L^6>O$d%SzY=c&c1Mam7XPSg>NMVXmZ>x<-vtpL zxKdo8&IJ0*Z;*x3%^tLml{`6Fdcz2>>u<;9Luun)n$)EA)LW61^WB{pcKjRGuy6+@-5A8a?}t-jzz%Rgt_;q(Jj{44yG$XXB&S*`I0(OCE&-#+oi$hgCrtu0Q4qm7MtbO3!?z5|OESLhsYKeSLQZ`> zyC}kTkl%sHEqXX>I2hz3fwsc`Xa6S&Xj7+;LEo4ccr2-r|bj&2E(!F9kOwEKf@@j;Q@H zytt_b^&_&gvV9RWW}Z`IAC=fnn8T9?fAr<~9b}qkD9HNXa^VQ7*-G zLJMlz(tCf*bv~_x9=>4DTL=u4$er_FB6(F^J5{S>hMK_>aJGIG8gF8^UGUK&&@{4u8G_c$wUEJ z$>e2@Q3OD7?CP$r4VA8|#cK~ws|TL_?Y7}xdgtR&W$WSAU@`nklN3Q7bg^wYXX0I7&@3*ciP1qyv3abM$poH7XxWI7v zKC)i;Dz{y90A5PRn>$i!A-_E7>H7geiR`)ny!-B>}UuJwBSZyocMCVNEll8w<6H@Q$}RB|%wtU8@3`OCE$#*II8_J=5F z+ZWucOrzSuJRC8H`nlIjJFPkBO=p$@O>*c8v-3(FAli4HDPiRWMy8Uoe6Xxn{Kyee zeb$8g=h7obaQDFgU&)j40^c< zx^CfmLm9H8idWUsRnrx)(gqL@{Gl)LGgX~@T?!1^X#HOD5M=#AjWFO%4}4v8gtX5~ z#cSD&9;J5csPmlkAR&j+u!x0=;52@>#gDvl^ajF{KoJ*6D!@uG!++M3#n@# zU9s;t1MH;ysWi=B9Kp}}&adMh2qKvBTIARl^wlTX`8VxO!enzndf^{ZQDsA4&}F&J z?_FXAN{3@-u)Tf3jnMPyu`^x@DI(p^HtP@!Ek1~XzuDfHXPCa&|JV$eD4 z<3TmbvCnmU(4=d=u-VRV>X*H148t8G-`k8Jk1h*6lQRM{@#VEgJ2r*6xM-#TFq9>0 z4O-B=@xtGsQN>NK{Q1BP)8}F^zWc*bi#&m=y2YJ}D4DtCV>V+22tQrYfBknH$QuCk zqQG48tDz`xx~8aoqS_&WC4lglAVU)iK0};GfB|1^<7*m?qnM4a!bIKrWs6x}yFr~!E@d@GY0H>%q-B2qKL)r4G*PdcE)HC? zF`s?y)7N)h9hTxFOdRjR-uw`xPs)K)t!>1_@yq^Qmrs8Muz6~0km5U))I`r+<>dZQ zAS}HEEop)p0Ho?|{n$bMf#E*7t z^GCD3z6p*!xe}mXwzDjoeQ&E_|MY|I{?L=ep(!$rxo@{WX_Pnc5Lz?rah&E0sTH#T zwwj6t6H0x8(Y{q-m;=s`Yds znFqEqZOjv`#o_i=9i z@HZ}APN$5YBezDs_df1LzPaS)>X!D*KcS|GvK$O*@?Zlz3Ac*206aU`O4D!LkpOp4 z45!7qCf1%MC(rfsP9-XO{WjcG#8v)>UK;_Fl)(oh#okbC#+Wv`AEiSCg8E{OGb6=t}=c&`UL-z9~;y|d4a?+icAw9*4)_cUwR-&vwc?dAL zBY?!bGH$JT*9taK&OJhSijPby{19Z0Xn=QY;7FJK%TNM{noC5ef{o0bn=$$IOSf|H zF8|Wlz%rgCz%X_46Y?BAz_X@@Tl5l{@31C`pj(|a-T{~9pKgNVvRB)~6RvQ#WhT)HwP8Pf9 zEWqYRawW>KH027QgCrZ7acW0hLn!{rx!=GK7@FTk?%%$hB1OS^ZQSb8&s_tO)zM%< zW{bx9-XGp6S6Su0vX7Ox-m^U?OIeG&SUci22$)xG-tYb7CIHq^wgj!vtM#L^HF|&i z^M7NRCS3w&KQ;Hz%f)THbHWjLpYV*MN)9BxnN_dJ=%~a{Ui5 z-XHu`snX~XJZcv6MjZTxsuKVmVH&@6Cw%n}vHdM}*eifZLpuC@%LKJnUm~XNN@T>?*7~plnT7z5!3|uBoDGcC1doJ+{Gke{_q5eqO;|{ z-Os;iH32Zu5K_aB5&>;_34+L#qhtf47!-9YLb)JB#2`WTH>rO8WCT=pVYvq&tUi?Z zJH(Ebm~j_RFf51vHp72kQQ-hiIR%|RgN@*Ekp826Z$U~`Ee-NZx%}%@#Q^b%OStHK zIp`5o!x{$Xwh@vuA%8Oece?)kk0jW<1y2|}GWq;rN9=ny~YKHT`3S$$+94pBHx$XDg|G0XJ&BgG0EoF=15<9c=c~xxW z*|nW+;X@&w|LpVozXx)$tET-a_GBDcKv73apR?p4n{26QWtrfA?mGmexZk~dr~$Y) zv(X>trhun&)EiRM1ToS0KRmRbwEeNbuOPKH|D*|6qz@6`$msxTaaBdxf7Jqrfj3yH z5%Lh=6+U>hrZy3-8Z+(baBKdHg<};ivQ8OP+6I`HJ4*kWne_i>54jwry z(E#`)w}4Oe2B&>nRBWX!XV`zq3e{qY|AzfTbofVXa?L*v-@BFnQZwRiTyXpUegzgi z3(zc4SymoM{Q$O7g{47@#(5_!jN{+r{qd8939#13=DQi>!1>ZPUNczGo){{yD{(MN zLfYy6t9$1+D@0b}cGa{!LqR)0NsNLZQ&l;3!oZ?=F}C-ALQ?;@(VrLxB254Uau~N> z*BsrT4i9zoX#$XBf6?jZ;jmCW1}DnWGXjc)_Z5xTCeA3D(em0mA|O~G%l{w%cmdw` z7ql{?4-!EIt&mqF><`QO7YQDnelT^DVwq|Mo71b*1|6HOU!Hy{F>~%%oZ?jI{NDsS z5%39AUjOm#iAhf~#Iw$}u#0uwh)oC#{L9b&gWfEkv1#@L#SyvH#h0TRu2xpkBnR3|)tbXfjA_Fq@5CE#qX z*JH{U1MpAB%OLl_XP;`EJK~{nX_>!W{U3+a(kZ6;6AR$y17M`0Xco7stDHc;28_^v zCy0fQ)}Sl?N9O$ZVMA{KDn5A`9SEXTeFAaQ__}_M&QALR?yYOn$E9w}4{pC)z-vuI zxouA6`3v64y(s_u;&am2Y|A?X*~Li>1o~XX@~Q*p!dhalv=m->1fx2maVqj+-HvNx zQ`6RZ+5*hnZ2_~kI@P&$IOW|nF0j$H?~5Fr6X=#i|4!ok+`$hD-gyh?kUKE1L(HOK zhbxa~zNhtQ)PU3S&&1Wg&KG1ww4gmTQI&6^b%`)d?cb#P`La1; z(ITd}Qho=lqw|7`&oXj@(_xK40CCYn((1oTepDPd3xl&7gGy3ht)MZLkkZw6uJb}O z;>nxq(f`HVxwH=qr3x{#PT0&rdOJQL`Ew@*8>I9L`H)WnPU&C&OZ{dC03NcQPVYCv zx6XyuxbpW^IfcI2FSVfNbMpW5t^n)PBgIw`TuE>(E#4^|RqpJOdm9foR3*v_ta6rU z#-A1ZUYY^G+(c~2UB?4T<|VFNkZ38wyt|9iY-`{XFsP6?vLUtiDwH9NF)!ezGzKLuC2n=U3BmYP(!qX}Xq4~8Bltf$cl zEQCCH_yGCpv`t%gM;tA)yLM{IZswPHd|JV|gR3uMY2O$aqq_tzXfVtLs_cONy~bSm z^Iv*xj5xNCF0{f4>;x>+wGSB@!)>v7rt7bvy(dfU#!1cQ+S@1F=$=uO{dUy6v{YtF`c2jMJoy2}AL5a&GPaOQ^Ji#T6m|6Xp)`zH_jTx~#)58+(^)H=8Z2@&EoeT&u)V$Bk z$=Sm?1{y3O!8t8rn43frrjT8GV)1bqePcPQOu-GA~lkQg&u*LQE;z0=TR9yDNA zk*sMC?+kc$%HpRF6I zb<)iJ@Uc~?Un?wQr)N!IW@T12TE_hw=V+Zv(VM;U<;+hsZYi_wodxP=yJ2ie!z+=P zFqBg1P}szn%5WK~Gb^*bc1f9)|Eg?i>cgyz0X0|EagP4T#0Q1iAF?=F;kn^7UFZeX zyo!#pn~;#+8Ir1)4c+te zk+%f>zreO>B>Jm$>~=}imv{K?UN9=GPb_Ngt9Ad47Rw@u>sh>0V3GNpu!CO6fdww* zQ?*Eddj68R!H_kN)=n@f)p_W|(ny_)ylY6J-R8AK!nA=0<3W?R;lA8fgRc_GmIe%h z!p>`~(gwOPT%K4W^L0fd+eVltjMmFSJ-=~Ft-eDXu4_{ZCSfpcbA%2YPDj@}pJ}v( ze`slOw|V-_YsH5jmzhC4^1^YYNtCTl@nD%WznJWYY9r@38V1g?BMTygV0^_Iyfd6> zs90L@;)_#!N!u-MnX6ea$?G%JyT=>h0bHM-?HmYa)uL;8@AW_R$jMAb(a=TaG9Yus zwL}}zwkC9U57+OPO=6htzVg>qQ3*8=c1$+a)#SBd!R&cW#mY2z7c8P)exjW=dijZ2 z&J%DJ4(Ulo`UT>6pJORa0m2)f=6@Ty3smmMd%PL%8X+4^F>Yxl0&MMhT6ppfM~9ld zTacB$I^-=O4&&_&xbl~<%hE4a@)?q#+p9{^s(J9F1)~NLMV?x#(Bud0#Zx)hWYRNUIjo8!FgS|Ma_FVedeQF_@s;5%K zVf^}<$2a<$Q&wlpaYp;9VYpr{KT!)$&$w(cUwW*PF6pWTu zP5$`0Q?wJne}$HcT@ShKWXfqRD{U9HB0Javt?G&vXr#P1WhCa4QfSnqxz3-<+1l=Y zfB9zi_gEXt(v{=)$V0`xiz!(q)%-{j+()rCuSJ|o2v^)?-WND{VvA~(uGoMH^|(F* zNk#99aql$m_>4{#&U?MXx}?;<8CF*Aymou6#v!Tptwq0;*PT+9q#6TXp)ZqS4=X^~ z&qJ=~gO7Sknv|1>%z9}0UI#@mgb@7}7_mx9tq@TW=6Yz!4*ipZBlZLtv&VY$mEol@yrc~AT$w5 zP^CxxJnht?j&1}|gkl_CM3v$*FhcK38dhj;4qarN)z4ExJ=(8Af?Q>$Bfkm5~d zsec?_60Oq9exCpd2)R?{lw$o9egUZ)R7 zaIMpv$HIH%a}K>DIf4YJkCVyV-m$@ULapE3VWMNzC%z9HPiWP0nqs&1RzEMPj1ITL z>&m7EIL-Dz8RwpWqV!2FG@XLeFI8OTaCF6^s4(9Zno@Bbx*mgaE*o`P?@vimfByt= zoUvkDqqsb0GluX=gLo)%ThT2c2z?OYV(Q?3dKNMm7F@Jq zq)w+;#-E9zmQ}?4)R_G4hCoA(zSG_{$U!h4Glb-igssV_bx{Ug80&TU!TN#yb`lwX zGoSh;@nval92q1K|)Z=B${oL%8QuN)U4_@rlRhKf&rpU*$OavWQL+?NJ zK70DQ!4x;Da&gJ+ym=}RNq^4Jd|c$FjCKSLZgH3x-y?0}()Ffe8S>Kdv<>^73&}tF z#D6p|deJGJY^L}mR7o_syHpYKuP0D)mX(#2o3EJ*y$e|r2;Nplxf$A}y12`Dz_mqH zQS)U6QBY>#)6G%rGh4mY7;}NM{VVO;d)eHv=m!UptHKgK#}j7LhlU8llh5uYFM{!Q zXMOC*&^Aqd)5*+r=0*xBrf#dDN!`4`)AWk2-^Q{a%OlY~F3;Yo6OV5ZFYBY%Q^v|$ z;Ny<|d{ZWpl7754x~lG|9UHUKu!!57w8FZ3GwtG4FUNz63I|LU^TpA<-&4f~LfUiA zcbd&Jz45`eciSCQL%{v5(hOWGQh@BhkBY4K z*JDJ|n(Mw+v>&RvsyORyU`^Y3Rl97DOy7=poVqcspy&o54ee@K{_Y9H&0P6N#@zE1 zVN-cN^^F_;#H|d5t?ULlJwL(O(?N?S^IK)RY<)3aH)c2_cn#CPUYnLW{N$0 z7H%H5Pm64=^FT*HKmmhSR3T&c+nj@g?MzABvjOM6v|6R!8mELqQLpsu=1D^3n$!BAkP%1BQxj43KgLC@;*z}HxlbIYIP|Z_U#~AS zn$5HH+4SO*FH*l^E#x#?N@%|Hqv)-Ly#<;y+pDew?$?$n`2LwE|Nu+-g%V zWS^b8jV4=Tox|S=j=)u(h?DC&LoVX;4SLay0%G{B=r&>|qa#}S( zwOU*Jq5RP3hZ?W1o6`;{C`UIb>d-N;M9MWB&iFVfp{yX?QeFRI@OdfI69KoxSwJb--8qm7aFULaxvW!K7pZUK2)e4hPOFRk-zDU zK5cm5b8}AzK?d^-ZflW(6;p{A6LM=T{lIfC%s=(kf`>>YYT@m0?b+)T9Q2rm!}i(& zDD-+J;l5*}8zNy>jzEBQ)8~&hKrrFlc2kx4{TDR%-!)*ngA;NXy=riQapF6huI?o^C24!pdAWgc7@Lej}=%& zi8+kfnlwV>Rc8+BFtMU{O5GrYJi>>t=9k<`i`QfXV2M+hfx}O z%6@nLY{xw5cvj^_gkd2leHh z*O0XHn+x_d3vNt*fU-OODtpU;ohu59n0v$~%Q6AE`iiw65(bb&@Wd4c0 zG4#Tpe)N@Ui#YU4)0ZnvnYdaAJRYR(P;0C{sYyLQu3BeAc z7!pxLn&m+{o)>qcmws*gVEPCMctb264cSl@F-ABVAU>e#cfOK`AK-OWG`S;>y)6v+ zm3Uk7J{Vp$YEcqr@d`YM0I`_q%gS>A5ENi(6uhH_bRs{rD!lxX6=e>Kf>!)0!X2lC zZpMm^rc}OOfiN!6rc%DD((18PRCs}ebitQ3?OT2mv6RJg5?^m1$lq@jd;MsJGb2&beYD0r&~m_Pc3Iiz zCOc&z&j!odxPGLLQwobMRRwEulF=qh3{*b2bA1*=$`P_{JUja169QwreOz9Hi*DJ4U!Alq^ot| zNwDp+RE;5@msV-TY}p^Kp`+4P+={(+jpBQJk}N$vJBmz{@shpGxB80AZP$df3=_?Z z46+U3H}V!98xk(+&$ut@i)X)LbMVkr=e8bLlfJa6>{2L`J7xj~VGQ?~b$nMz3Xc<$ zs`tR|U&d`l<2Z61ZCyVI{D4^p0ghOqQLoBZJ5TN|&^94o6`QBP1xDaRLY#aC=ts#HYO2CXHYH&|; zWJNsh@=OL2=bp>gx~4^3v(J8BzhR`EG@Gc>8m}fYhT;RUcEj#B{EPb&%Cu1Pctcm@ z;K$BIcHM_w=e(u&J$Z+ef>SDU!mEq-a6a;OWoJFJxJF5muvW#A?2tSr!{f49zSyp5 zUX&9yH6hPP?MogTj z-$t`JlsBWrp|dlkJi0TaHtrNMO%nWobxZ$FIiymQvk0L4&w;nTIySm0YaS|CE$G2G z3C`u~i}uOVnol@uw>DWY+*g#(*^#Z=e&nU4Kr7;xCA_|(mvn}ztp|J*v5yWpeWgmR zD2O5yp1l4_2Q-={neRS(#baD$q57^n&4}^r#F5*tUN#8%%i|3&_m>-}+Xs?vDjteC zw_>M=Z69&(AmH;!bq!h0%(rgGpd2b2vZ*bo^nKuo-rHqRBT5p%t;u9v4%#eT8mdo{ zmp1qHU55-R?PU~m`xsJEpX`Kjf1#3dj!&VWfSNVLYIG76lU^HBoIV+)y4|HT`p|l~ zu!-Zrl?TMUZypbpG0pL%gxP=mgjfn?5syTRifT5Un5NQ=WQGzJS{kciH(01#yH038 z2%+WE$)$!k4=_gKwJHerZP}s@SI{TZIFW%NTkLhR8l~?m9H&Sh$2%3r!%{ase?Mmm zi%dj*?M*vMqH}ymHP-aBx}#xOLKlSl{DifmX4sFM* z%|tfFLxt&WgR4S&gae6-DsjZU_a}Dqb5SR7uY8%DXBF6+vBfb&`O3ZpA4g>S{4PtR z*Wn5~heX;>vxq8AB zts>&!SE{^1d7wBwLo>XJtj|n*sLHLgK5nV#qicfY(4Mxb-`7>IepPH$pfIr3H{XxO zKuQil?-ZKU#Ihgpw(m?*m|=*E$iu)r-dyQ?tZ*WmDweM%i>i)~SbB7Wy=b#6Tl=I# zcSqS@J%=H28c|`}<4)(x!wMJXvRfC5BGW++{@Ay)%KINNC_IdB9kmh0(1sdfk4UBQ^P@G3tL5k z#UJ)N$oA%LopoE?i7QT5URp{3P4k&E>8>@5&Mit$?zYL!0s~li}>3N%3tCEG&ozg@Gw7y+C3Tx_kNsmtaKxHG|e!pqE zif>?(KVbgwToivXabh|GExMlv$y{8qk55?Zb2>|hHQUBD&+Hlrxth{PI?Gjae4lq_ z9lzWw>=c@%8O#rta@rYv zZ$Wn**=wrJwp7R^h9qGnunq6OJyPNjJovj$49g|PaIf)MR4@;QF zuLqta+di9$cqe0@JJ5{3S?)0*cC<;-w=#;Z@ARHQyG#Y7Rto!^xK*ONDBK&YMx3EN zeJRKuvPTZPJ1T|!Vm6C*pqGA9RICE@)O_T)>yWkATc4Ce)GMOmOj07SujQYfx=yX+XS5V}4?$L0lUp*98I}O%ADyPboLQ zeJ%{48(<7GcUVQqaif>cu6VqIFjAq{y06SQ?ghhd90DqXf2hvtVDhyf!w;z4q}WHy@+J{@1(x42BUi-iAzov*_K-p|)Tz z>b}RRJ?&_i2N4JPi3H>Ej4^g)vWNZ_G}6R!Lg$MnO9d_~Z}8~sMNbF^l=vH;=R-}W zeti8r2%Q}WYdzoV6)2hwWszE(_3nee02zpOKdHvU#YqfKc!7|t{W7&YpT|bT| z@3o4jpH1a7zY~7H?>Tv)b~a!r->Zk#z(l3l$LXxdXYzXhq2=09?wHY~X3$K+d_u?j zrT`K~6XH3$yHW_NtJ9Ippug>#z4GKyqJa82j}(8=wB1Y7^OgNaCMQV}8F(sxG!umO`0MVj;nz&;k#Hgp(9VFWJzD=!&$Cpee znOxr(j%+R5D=lZH>4TAMu3JdtXb&5Qc;{GAX5e}A2}ZdI)?d>rU2!i9y7TR!W|+NM z7{wQ%f+^()L*dZO&<1 zZ|QB2qg%HVyP>2NRIIG#UYfP&A-b;7&iYDGJokW!nMju*9D?(jbW( z2g0oWsylkiF;RdJc0LgXdNF5#3{38Fry!lhEXpYbSh!oGqP$I?LK*^;H@cL48l}S! zTr}59ksL#7H?;vP4|j7OqhBbj>m>CZ+Ynj%4(qwoIIFMr7JSf*m>IPjY_wMtT@mI zb6dOh8?s$*5a9yiEUDvq@M_y<$onS;tqjT$!yf5mVgx7=snPR+1MAxXVS8BYUo)su zs_nlnSZYq;RW1e9_r;DQb*xJ@d0L!pr`TJI&ZiE#DZ*^`-{N(mvM+GPpUyzk3RKG7 z3ef}UQK@n?4<>7cM(S42QVvDw*um>w+JHl~mS~@>* zaB##(=Iocf%%Mu;k3-_YhOC^o=6$9oO2(S~MdLTmz)^O%rLdPexql@8>iq+3ZaZ$HK zl<+{}nwdRS{)~Hr22_-`=QP)VTZTr!{;^F_{bTxq26rbK%^uf&j>?)J^E?SkNgxz^ znvjsph)#A6XF}vR)V1z68Q#1IJ5(%!7K4QB;YjYBqD45kR2X$|TXEoRc>s zhZ5<*&f4FLsB>&4%(iYxxRNYU(+4T?={xY!G8P;)eGI)_Xn>lrZCrb3U&vOl+Dw1! z@|q$?K=NC8)oAy*OWMig9&eP?!}C#kuKH6pG?;#hS1PlM(J4l+i7Bsssj{6^BolsW{ZE}5tFi<(mvC$> zWzQRs4pCQ}h#3tgu$%>{qr+?cwcW;v=47I-pZCfqI$v68eXOusYBX9bz2TETrsV$4 zAQ-P}+x6hmlHo9d_VVUYCe@YwVl+r(qg-hO2MSXL%Rg=MAED1t`#S(_BUC@qa||u4 z<36EZI55yl3{HW+)izja^zmX72zAqFsxHq`xFc+vMM;vsr2D~0;3^5JRragm=J$zO z?{T{-iU{9+N3N8-?ob%wYkO#b-G)TEeDvzIK7%(Fpr?P}cU9QBV@p6jaMzy+ zk7S>VY)5)Hgv@@fVbtvuL7HRgvDtx+(m<2sLfRTOLI-g}I8tISkbz#Ok ziJScPH;Og#xnKP|fG)ssYUFG*P#os@{LnBZIBT61Hud-8^K&f>xV8 zIiCnvD8q9>VHp)yX2;=mVHse5wp|G~Kj%zq*782Jj!Zmw!jtQb_KB>{);DWEW`!1& zP-`)(7gfSQYDZy0g|n!z+LVVRTV>7+Ux#<2k5u0};C*A2hFkmSX6*#}i6_yg-Gktm z!yWHAYo3urZ~jSL-Xybke6R%phHgIf5Bt>PQ-yAe$b*0a1HaUb*IHWh*hu9+n2TJr z)o5WU&0go|r0>j0p=8@tIVE=mwx!LvEn!wz`XpS+0iz(^lqF1dP)Jrv z-K;OzNwOzM7|A8~?fq2(HNx@DgWZz<_~VB#*z^3_M^9j`21a>>U;@mx^u`WRq%e}0 zwU|J&sR2Xei%F+*8{JA}Ox=xDv7tu8(p$y%AU-qW6TdUFVQVluS~&x_x%-6~IZ(d+hlT zW!Th~@iE75ga4M!a@`F=h=0Z*EsLqN2B?VSlQbS?UAfs^??Tl%S&Mt$^6~1*vl7Bo z)Ia@dz!^+3rTZmjd`Ns=$;Bo#U^@P);9Ndm8_~kMC+~Ad4K-hT{`e(TZl~iJU>Wge z`dKGD&YhSbJ!4F0k(bv9lcm7!wGFI)`EW~l}`KwHh)OrO6$6eF&?wPF8^#0>UCF@b; zxa~9H#MaouCZ8mypbs0@o4%l#um8i6OZ#1Ln|^ZljT1;sKV-V=Ug4PM{wR zi=rRay*_+d$mvUUj(MViw~$e+*yZcLLRR3V-LO4--T@ zrKD(;X8}{7ft8c8+fIEe^*Gt5>xt$j2;Keseq#*CZq!Aa|AVFYdK0?*O*%s z1%BJozm6Qt{{{XO9#O^on$`lba4YZLEFH^9TRxgz{KxbBYaYN>9VP%-BKW&3Ca}Y- zfiA#;w7=PbbO?_HCBOm)h{p_}$N#_Q;p8iVX@qq+>VrD`Mqj*c>(Lkdj-6Mt&76Y1 zfjxcaCK;c>kVDaGZdd|MsPlY^U-v)gid$GZ;TG8*~@#6Nk{QB*qQc zb+Dw}<;=AG00eAvYb5lOSL(A$ecwPnkNhl>{@07++%!o4CjY6siGP0i99)66x7yDS z{>s@8(HG`YF_&adWZF*3G%Q0HxY(j4wR9+Tv z3Gq!#k_)T?qpBoM_Hs_n$`VZa-oc{OwR&}q8jB!?B_biglE0&moz-4_`d72-Ki`-k zo6b1u$oUB~uCU9$jmwq&!)CH$^3Z*i)b5Iq5wW|xKt+IDUPXnUvsZjq?%6B8wB`T9 z8YKxA>1!#U8PO8vN8K5J>kFZfbi4)%x%K@V`(R*)Y*piyn-LG?%WS_Hbim0sOxG&X zT}~G!k-P{o*A&0-TlX=T{-49lmto|d;L(fsvIWfelMnt^?iMg!O#(06Lm_xLDVV1> zI))Axd!{R!L(m86A2|H3LhZCYUQA3f`LM=SithY&KK;Fo2N;cw@blDj!Zzxq{;uc+ zbn~-k(!C;miDn0Lfl6IEQwtxzUw*^uS0{IKM<@|^7TZnBf6LHdz7B^aB6_Vh%-V>G zusAM%EZ7$^BIpRt{x{G4_Ie$QP53QT{0jBgAf@*|*30ezlo5nO!)s|A785Pm(irqb z=vN8W-(w@tK=^vme`?}V>*-ra6yDUg`QO%vCyWtpciT}Po4Dqexqj`p=dmsQ@5%-n>w&{^ znPKkg*7TP)A$wjXvA5i#ym9}M>-l4+7wT5OixT{G+&;GQo80v5=-K6f4i!QW3Zqop zMBr%BOE?Ba+W9zb;V$Nhm+uDW&%NgXdTi-3!IatOe_)wEg=K@5?SES++4DdNS@=r! zQ-kcALPBHop?5MV!1TAwae_~#=SmFtLag(@oa}gPN3qs%_F+JPk002+i8(@vZc)*a z&iTzG;r~E`zrLOE7>9JHk3XfnkgTsG&Rit%*ZjE{Wgvj)AtO#%#m79);ZE zH83d>uZZy}cC?YE36-%w6qHbWdZIMvjWucA*FAm%EUQ-Se4!rGds7T{)3>fu$7(E zyY&Sh@B)YTpM`mND}!QpM?@RRoRybDsKHUX>Sdn95X) z=ej&3x-v5T#)_W=(FCg?nxwe~AEsD~eH&8W0=k6_Cz z{O84iceV7ZpikYnegKO|XV3pgPne*2gFg@mx~yJFxO+q8nMtzO@s3Z&eaD~PEQrWy zXL_ok!slcz!~XmKq15-r)vpkxFVw(2fy&gYw!1vU0J;)+Gbi1;SwXGOXvF^^t;OT5<_updjV@IUBRPpZML7dbae5JjLjJNs~gG{1cW`aQTJ$>{pX; zKJLvarIv2CR-XU)K7fc%-0^|hG{d9uaLlRA`g}waV4db4H;pJc?+}zy@&g-z-|DY- zu^*ZmR$k-Fn?Oh`slc{&<6x(9t*RMLe80GvF#F7_)aF(04Oy;Du5y zSax@DN1H8Qm;-v8f;dj3JGYhL^4@lSn`83*-F~hA3*O%7Ts#q$n`!c5D!v5Ds_ed4 z-UVp!$?SST3dEedF@_~C@3o!H9a}(o#1o))W@ai(`;Ps&tSwR{tS)5`06||4@r8~+4pCsl7Eq;O5O;kutjXtw4@6NE#TDy$(j{MqPW8XZRLt%Df zSx-@?(&2xLN?{=C$jx+Uyct7pY#nSvAx+FH|2;{p5bH%m=TDtL#^=)M2KCo!PaQ1! zH$PJmCcJnFmTC=as@^4@l2cbcm5+0ww-R4rCc@>vD-B!*0om8eUPmvJ*%rUc{p0h> zw~VzWUulC6`laI(HzKL;PBb+}a3IoejS>36nT*jFYoR0;5pbS$)PLJZ{Z`3Yzi`K- zKp%9ed>s|JSriW@)Akd_ZP#ecz9N5S)}0_IcarKOHu^o81#BnZ=9bwH{ypjjWCA=X zJH$S;KZ7ZXD{soGpV{f@y`1^W%V3TLjlh;LO)IqsZAROPDvA_MmMg?yL(%b#1Fh0x zikdk*3rrjE>)nG1rJmLCiCzsej7QNRlG0dhA(b_IqMm~21Ta$4Y=h?!8%RG%q zvHyxQ{0Ofux}Aqrp^Hgv>{pPWPUODn7qS)F%P1gKf73=Wb*V#|QBbjjWlq(vID z@$z|O=4%3tw3bIKDW;@NUawa!b*)1Q#J6`aB5A4C zJTYNDnXjw<2`+<;(RL!A#n;lOYR%qfMB7VEKwG2MUda*!0@5`tKR~5&ef8ePexij= z66?pn*kvX%Ex$-6Irwok=L8jU;W0+ij?5OT112hP$L#u|eUT-t-tj+(gUryc+h1t; z!uPjjQ4w^W0g$*#(0Uk~3UQPTxpsM4Hn7%tg<|S1L&!QXUO)KFZ#m*ZJDmwUfgA|< z{R0#^5PMSrI$3~@yf;L(Ipx5baOW%L*0S74tV)_&aBqg`Gy|p+)tuivK7rQkH?h8% z{z}^0xO%V0?7Qq!lYGL3mahpNuV%7qYQuJvS_6p&j~YZu31r-j?n2Ga(C04O zo?)FIvegM*Nu(P#x;w1r<-p-p95=c+{&Zb@(&={5rbFtDBK$1TR@Bfhr9&7@_$NdL zqAqlk(N@-ZLtpmgLPQG&BJWA>O6)=-xN&ZGPg!}|OI}scrr^m2{5#Ga? z0_MjYnP4eTtA<{)n?nDHyj>nkP|hkvu8Vz^t2evqY;_r4q}b?VP#)Dub>2KmERB zM1Bp)o*U){sx5_23&tfi^Ty1Q!t|R3&rn1D`K`7hLM4lJMKDYpi-F#6$wi3=CZ=@C zvm^{XBhwSNFd^D=qU0BC)XT3$X@_1{b|>>cz@Qcda?8o$FgHaWC$@jy4G<1ZzJ@OS z83?|t;ln~={d2=!PX2TFouk^+&2nb_}m!HOA6lcT@fOmRoooR%tE>-zxaK1W8fL@ed;(b!j6f*ry!T|Ib_La!?R z(FIKp!gVeYwG8`OXfl-^mJBHI16VMkSC~Clc(NvX?@lqTo_rF<)Cj0*Hn_lvgDiTz z`-Q3Y@-#afIJUVf*97d6KYjk(ac&!Ewz7^rC;Z1g2EjdH?r%`^8cL%t7|h5wa{4XO z1y@I!Uhlpv(puTcip7*r6?%-YIN`Ly@-u9HB~tQdM3B}`|pC8rS!XJGQYTq zSfHD7TfMQt6%zV7Y!nl*668v>29PWzJNDkYwz0B<2b!b-X2!xQs^h<_w-$=$e$n?| zXB{)Kjb7DE!#nk)QM(w8U0JgRcomaW73bmbQ=?{9lf5_YAd-?Mp$Y}+yYdt@hlUn$ zkara99^WL(yKllCSP5XwQG)2t@jV1#9tFVR#)`-GIMLy~JRp%r_QurDy+=Lkg zRA5WS0=?KWhgOpBVPcKnWm7%RU`-2rsTc#OYT5BV6xn->CKGKCpYTrn(^tGFs1PkK zbFhBp#B-X2QnUzJ5#9t*5LkAE=c@Xcv@tV3htDxV2 zeUXRi5~(r}1X{h~`t1Wwo{_2U?8!D$7e}3J;xr>j&)$#n`8CvMoT4rWLlKd^ zQS-ZvjJdBo?m@|EgeF!WmtDI%gb7^!IwKfyNw<2Ul)-hVih*LvSjEgNJgS=;us&v)ac<#LvL*dtidZdoo%VDOA9E?2|1hkLGl0ZwC0A9=)U z4we7p3$Kz3T1%+!jra25n~siSf1X~!{q^{ZpbNJJ&LAqVz%P=Y8f&mzJHSB}%;)Ix z$j-URX>CxZS8yRj!Z|d-mM}r4`|$uqm;ujE&+ctJ5R@`%beTzEFVLovmO5MoEZQrb zbl`!X;rE~}4Q;l%-4MeX!Nm9j%#TYTK~Ae1wR+C`n<-Jz9}dl(Lhm;IBj`XNYdn;p zF;;&R@##~W{EA->cJV`d*@?0{J)17yKU3j1_+)L)HdxcL6=kP@!$1Ou_`!kB%glXT ztwNi5>GEzm)(7CrN?K}OEM!4Piv)&oM2I#0k>l1G0D|~ z6XhAMY{;AFB)cG&3ZKpxPq!tCZC~e~?amEY@rLesZVk{W$+2>$v_sgRvme9Jzm=tR zg`AwpgFjo33jYCmrD>7V?KceTw@UHlK>|}(wmlEM%~+*hg=qGZmK1~iRuxAcT@Wrc zAZBs&AHCWH9s3XQg3JN6;6(V~yL3i{J;TE4@K*K87jV}6ZS5^jOM8{yh4%xOrgJfCb0dVlYM|4h-GHhtnT$J z2Ta7cQ*NOH{?-C`>(HIcZ;lrr;qGZ{5l|>x&iiWm(?qS~iiC6c7tFp~EFG}?xi9zn z!lT)XpR4rznD#gVxk{y;Ya|Pb3}gg>EwS2$Y=BFN@~`KC#Iw+~48H|uFH3)uD!C9a zj-e7h@$D#>_)b`z*x-%7w+48fQ{4N5b={ENqFe9e>-eukq@Tq&7%faKFU?uTUg7ElG2b!rPJW9kCt$28^B_% zK2$B8m~}-pj(nvd4aNA^fR-oN@JBi1@WeJdoznKgxyL#!GrE!Y+<%j~10vV}1?+Y$ zl0>D#nJd>>6w-Jm9;LK(_-Q%-BwFW$dG}N@{?E!2)SY;c6+UoKmF}w<_ z##b9Og%?M`;dcOyQjTRF_}(h8E(*ZY`H}j27(9CsCq$yroNchB?s)|8PEK$*J^N4= zW65Khs$%+Y?xYdF5oNQK7aK2cR@+x~^p4;wMUSIwSld&PTJz)!Sa$Qy8}^HQj?VD2 z;-+KkwV7t07MS!d>AlxlZx=~_x+X>%oP%x77?ZG$s1y+|qYl`{8x9EkCcUs=j!j6w z`5->vG(uZiFNt%oYZXS+DM!7Z8KZxBY$C|Z`R=FStpm=k1CeQErE9I>AN^7KERw<~ z=uKO9{-9))ezjj4%@5qn>FQHubIdn#;$r*IA(>9J=5@v9I3sIPqaJBT33A**w=ImG zeW5-4QhuuZG@x&9gggN*Oin9wLhM%XoM`ZeFnt$Eg4PmHNalJQZa7k3*3;p zBzmjfc`K@IYhA}Ny84pA($6STy0&F|AKz@MuU>|m*YZ&r(zQPwQm{>O>jvAm`WKnW z!Q21Pvo+EZ7E1lF9$5a1`ikx8$HF8wl&DRfy5+HtY_!Y*B1U+Zu5$=XKKD0(g&r%n z6v~naq<|B)nphvE8P;&1o0^#j_Cm&_1F?FM(4TRN-~PsE7gP9yn-BDfD0`vzki3|ZRtLI%@ z#{$rkY2_@*uGvxQE~UO$Bk?I#YJ7(*i@sEcoyNoQkud{c%A>AqY(9r`GE5vQ;EO7j(xaRRp!(AnPzlzE3{BQ1)vZO)jc?R@RG*5D{k(wgPq*mz zjo?#TyTU?MCC2au3)Q`#Bzv7RIweEgT=1$6qAz9&fc{?}5M0!M?1<4h|b? zRya6R`4nf7dX9^U7M?C)mODGOERxr~c;A^z_5-~|0(oO(A!K(@kvq|g0FEo&-iGn! zZ?VRZyrEV=__{(M@X$=L?E{^oOUd++;!l78cEd4ht=yvTI`w_iHx*W`!*ff)Ww@YH z!pRTxQ1K*5I!xj4)Jsm??l70M+6CP$w87OPJ*p4A^;BNf8jmHKEf%i)@F;w# zZv)b%d^!?5%oVG+vp=Nm&I>=}U>N{9G@igTYw1fAw?Nko=)o&Mdwtoep5fXWuXKF0 zk>5-`cS&2zhrtSCUSyG2{&=4|$yEh&j3+Dd9v9bhvD`e7$^ z%W`koOV4t~d^;S$Uv1T3>-}`<+gJK4J1M>EfUvJ_r8Tq56pZRa`AsS5mO=soRZL_q zK&X_Qz_`#RwDZwpr_s~x*lOk2+|HT@sLBDt?vLvabnNQ4_}_+y$BWVqntfoQWo8#0 zr4P*n`TxJ4@z-xa9wc=Gi}qHRZe}%za~=9b58vSRu&RJs3zbWN635Wnu5+)Yt)?f1 zmila~m%bE2diQ(uN1xLGK5c}nzr;wq_Hf#xCwURy+3d?{xWJe5E$WeJE}H*52>er% zsnl#uY^R&Y>lk%!l#qtcT7wTiyfhQ!K}#=Y)`IwS4+qoHPi3UUf&30F?uhfpPkdH% z?GJ9?)}%0Q%>jLOs0dJ9cZw;o*cju4cD7Iz2EPC2t)$ah*2hH5MlOjcwabRlvAImX z2)xD2EMp`mHOz!%e&b~p4LDaAld)Ek$yr=xw)FdK_SYZQ9$O=Mh;u|>Ok|u`JxK!b z_}5(}@JQ(_>nc3k_#r$l+7(XW-v4{%|)xoQh{>@JVJMnaaEbCKngWU3)B4VA}HB5-Fa#AHJFbCDr&4DfGYj z@K@@_z_*zVtRyjm^H$hpo8yuwD#E2I@%eQD-F0v&4JXqhaS#d15>$ZJ#*!voPfgp}uD=9X|B4<#cHmaJ zBG)NuS{Q@RhVwNQi<{5gYv+U5Cx<`1u>wTs8|phW7`dPyINMDkl3b0$wW(vLN4O4S zW@AmEt{6gDLjq`ne|K0(aZ%`s<78&y#6Y?+)1;-Ph)UgyV*EePvtJJcbEbXPYraxh{=b(Wz0#G4SJydN;7UB4 z15k9U6q0$`$zBqpXWys^=e4@B-a3+dJP*~dU*o_WVKP`{AT%7zlBRwjsCclw58M3S z?)Y9g3DmLUHO+h7c>oeMyEyan^M!c^ESQjeDaBh6;><%{!D{?~fsslI|p*+!>EZm`NCp}4|sO1D=W?Fl`|TVQI07F&x0wQCam zP|UJnQ2`!K&?sr4rIgUUMpI9TEP0@kg>`bZ+1< zO=feaN;w6e!BTEHaC5A|wd81^1yXN9tLQNG%G!=O@V|LI#yXq>dvOlH zB}GqdTyhu5-Uv(cIv4}Iwbu^x0RiU5uYPwmjIu9KT?-e3Gm5xScKV!0uh{yFiSIPn z94#lAB8n3aNq)xa7YXRRPy_d0%uAEs1(64w!>DPJRuDRs`L1GZOn#kTnKWIN|2OL3 zFSL|_1!{TstG&uyx^C>~xsz`sTBNc8E8cBt^Zy1aWQfDrD=`7d$jxu#(6{BFH&H1C zz9V|x8T%TkYd*F+qWx$PWcdCf4E%^t+f#a|l~E&~Sm5#1;SQKY(x(C1T7iNHHfs6X1A@UWn!So2Q@k*|1?Av7~ zS$WR~XmqX9hi^?%EgTI^!x-IIjii=3*lVCf8nn`1{be@N1z;;$(nF3x&43>P$m&FZz$L2g-qgLN zXXP-tlXOXc(=QP>28;BnCGt%t?h=ya|3S_%@^jm8_UEaGC?!VS%1KM*)T{dO(wxWq z>X(Fj5MU>d2GcJ>;hKknFFZj`R|5TYG_BF&u(MAb%>f{K^hkkrS5r}7Pv5%Gvux|( z3%adHWO(fBxClBb+dohkPX70EJ%9*<5zn^*&6@d^GR}SGK>Sf64fM1?V$(=Pa1MuB z@Oe5A_Hv(DklZJZc&c?~B0&tk!LO8v!%&~mA~}+CqUz|SxqHh(czA5MxJr~(5dr)) z>_RTcc$*$>PnAEPdl(I?0=(k0n=l#{#j|BLwUWgBAzqnv{<7uJrGmT!asZUToMV1O z-j)b}WQAVa0#vgE?ykcwvzKZd-Ei6zwS%!mwkdrlOhY|KgGwDZp@r)fX@>_Y%56iaP z{?V}ge|&v)Sd?q`wIYZJC?VY-J#>SVlyrA@cMe?wigY*9-QC@xbR*p$9mBx)c;bD} zIq!FV*EN5@05ik$-1pvVueJ8RJJNoc^|4HSQ*a)xj+!-}Of zi;qErHB>5J?eKec@WtVL%pPVaOydpLpOi9S3#IITIW@!YV_L=KR_xT3y6c)31J#woSh)wh*;lYcK-D%tax?}X?^|(^Q zsnjejG^!s2Ueai`OgpPQH!n{@|LZw~wjz1{FUkuITpRRC^W1gm+gBkVhqEh#&BA|K zZvvHwsj0<*>`ywH%oejfnxZM0S`$4}swoMWK}7Pka)g6{O}C3J<}Uvf7>0h9o7qvV zU#?R*gN0Y0q3RnZoh7H&AO8M!`J~GDc!`YYMLQoK#42malf|{;Ch8{&z~)g@_&j=x zOG?HBz`stGs`>H-X>epD_VCbZaC9`TrRAN!1w9^1@}JTso9d76Vnl4!2un_r(i7#n z?a7FOfEx)oKoJ1$P|3$Z%{_q`He07m#bH@q`D)YQ&B2&oIuP|4{ci;rPz5JEL7Zu@d{@Gg zD`L~mE9QPZ7Cp{K>rJv~Jete(LJ2sgD&fa%DW0*>{?yyXv!V5QBU%15%8fpg;WjTR z56l)ukG~LYe{S1f=;tkP+KuD985FYGsA3|P&XyKAj4SF0Otb`Eap?7sWjXnf*R?ug zA_jGa%xD6-%s})>I|HA!VU#rZzelM2k#Ukga-YlpIGF93+d zC(5*?DzjHS9mBP}!Qs12rvEjG|2;+$;{yKLIOZbAHI{^^D79_Vg>hP+{H)VU5iUF8 zH?<)-`Ju4UaBp6^@~(6Sd^PtGu^b#MO!cDbmsw0rp^c7H_C63Y&h-P9&{@Pz9^K25 zr019SC01OXYQp{exI-bR_GcRrgANPk_PtH#eR$xBdf7awjIo8!y>@Q@4LJWva=)TC zsSa>73tJ$rk^6q3R^!El6%He@+)*58RYS*UTbffR?%X5DDv)- zB}XV&iX{(dLrHwEeW4{6unMKuT&Nk0jg3Y6?hU{)>Syroc@?w_zDo0zJl9&|jTgcE zn~9m5@pK>0cC#C|J*UrAkb_>0Mng`<c8`@VQQf#~TYX zF6*p$Gq7rlKSX-2w!H_R4QlC9{`Jl<$Yj|hni2e2LZxj=;~;T z1qmOU*0we7tr)>pN|h8#B`c?X0)V28HV4+{ajqb^YLzTLEAF)N^lfvF@^|~ij+@h} zUY*Py9uQYRDLorz0I0!vfX}gMBp1t*qUP=Ris!nELI(JavXF>$+*1I%RRyy|mGNxZ z1o9XU!`REW7TW3T54Yn8DgyMKHDcA4(b1mIfdD{UzoK#Pe+T$L&c=AeO)`d>QY6Cf z0l}1cyh@(NgwhX1mABI`>g3l!0NRZ< zaqo*{u*IQ)Axq1=hh+TQ;k|s*(C6xsG^5GA16>~nCvwEUAe>33sJJf@d9ex}H}e$-_udQJYJ@4IAYqO z%fFL2e`33&Miubf7|1u|Jd2CdMdZxp3emee6w#sHGUcu8ViLGJzbtHf`RJu7ND_6Q zH@zqSs!spPkl$V)5pYj6`MK9grN5hRn!ii^rX=x4s0kF$6xH3E@(q5@cOPJkj2nXQ zVO4Tls5)Nw0C+kaAV=h;?p*aq_v)$6+Po{D(|R#+P`#vmk~yy7_E=dCrWC6`!wutd zgh$b98{j+d!aYQhRhNcdlf!SYqMOZCfW&~25(H`7y&t-R+Ppn4Kzk>NtF&Jn~1k5j#PU-t_ zvQnv17iGH&35Eo z$&xcu&cH*Q<2*0;hWA7?>@&;G7cV8`?p0^iGC+|W-0^SKu4sRD+hWH4V<1YMLT^8V zyeOj(P%j;n=xZXRsO-WZ8Z$_ao9DhY_z$94Yd@%Hi0yg{N#D`L2a%sAXS(a+E=9I_bi($B8rwGQRouA0JITkCqP> z`_IGk=^roKSP`WT)SKCR7uw>1!Ae%rT)PMDt-9*%YymRQa1Hx<)H@Sk9V=T6`>{_% zuH~96Ihp|3-O^oj6*GA{S8!1- zL4c280T@moz*f7HBppRAsZesBAJ6vDEQ`Y~Z{Cb!^)Sh0qJ0@xShI0r5)0YN z60auw_B;lt^52}}0E*A*+<{WAZQC9s{Ir}ln$S}8C_$GZ>5Ia-IL(>;1U0`bC&}<# z85OT3Q}msr=08i>-)oXglb1JTd9xJ{?PXWFBt%-Nb+P){mP0oHs=m z3FvmArmLRx=8yJ1U@cjF{83ZA$ZxCTSNmM24uLfW#SOF2XLf+m^Xh!L*{s~}bAGx+&CF}s1%vVP zQ2NjHdHd(crw8RbpUOB)5(ZO zb24Q}-|chSV;?h3H4bqtl9Pg}NU zPx1iDaTXWWswc~Lcda3yLztw?`(VyOH0|;BX!YYx`fyBk#8{DCP}XDHyI=C*?@9hI zWjF9#kzxmybm5qaQg&Zrme;KSRiTG4{I2WOH7my6Pe^Hx6Cqr_uJ_MIw(&PDpZ~!{KK_ z*QtUzgCwIXb{C2yzLOQ+nU^RDhdGu}^W*`X3b0kC)V` z+M(Ncv>qu%H>EgXE_>fdMDH%BA?FS=>TOKZg>RwHMv_O(6MzZPrI+LH4zlPplzzN; z0WdwL{?Sb)tEc^ttIF%Jpw$Ro6XO)G46D)|)fOM_6;<6dL*rEAPbSKL9X0jWi|F?O zrNDDR`t3zkD*L{>Ciiq!nRG7J+-wOoqh(;JhO%Cs?mMS~)R#rO*2r$q`|1-Ir}6Z* zCt~K(yYrJ^LCsmc{qNn?W%KcLZJ8lHm=nM`5rldQO7n~S1bLJp1_A=)2xu5gnTaAI zD5yQYuo#ytS(fh~s>%>%oiR{1%0d&L(NdW(0;6)6(Ba-vlRkf2Ahmz7T>p7dd0H{e z#Nx~&Bfr3Dqul25&E*VNe<{71U9Ig2M~_hb`IVu^(U#Su_gI^@^6}M!>uzK^To0?- zck5+~6G5BBgPD1-F=4iL>gm}+<0bAag)$9Q#oXL79L0{TabaTWYY5~prinLIwvDhs zWx07nYLsGWn7dS$C_ykl$+wOb;eDb^gGoh=5J)g*BjWXor8t`ZFCF0Zs?}dTCCd>L7aLv3r1RR zLP3EEO5s);--E3WO;T8_<0DTr9wL8*XTU!M8oNUBrX-b}@eM8ZOi{g^aQv(r`!UobdNF==Ax2O)C;Y-g#X z>Eu2VrkmpqCe?74f_m*x5!PjA(aY1Jba#o^E$v3MQ5a_Z_aAi2vnL5CNNNTYIqaqUhUBf^Iksmh&%^ zX;Env!RzTzRu%b^rZ??m-m$2zU|`42IZ;|WByOu-+gQ8L8!64VRy8kY*kq`FQf5yC zhM_@-vHBW*Mj%Nc&)b-$TtsYhxEB}kwzb8jfPrgkC*L$ZwY>-uG8|8@zXFaroNZvf zv|dp9h$q9=U>sWgu4ELj2g+e8gNN29ydv#3ZiZ;(xpp(r1ecooBK5v|=-twJCT)4rIm=)7fK zEnU&|{=@?ir$!a=^Y&uJfy=F5ou?Wvq1Q=^j`0NzI~dpgF!nu4kfZv~*5pKfl5ItA zn|Zp4d`3#?8OpVl`+g|TOJN#X&T5pQd^ZWj6yG1L3s>5K`coXvTHXBgy}vQkmq7&O zM=MsF@HHOQy;Em(fL%pBD3QL z*?JePCBiQTctg4X~`aU9dci5+ha6u&8@& znV4cb2ABqi&^d+^M^iQoTy@QS1~XEDTI%Ycyzvvr#_7kpG@@}xc`P;g4xm$`(Q~_8 z44Y;obp`Rx#Av2rKkiS2A-3uyWpH zlzDMbR1cqr9n`R0A^iTHmZ3aN^U>lAyKl8vbszJnvLn*+dU+JAI{8b4_9nMTQqiGR z?F-|IX_{@!5Cn06vc*Ez=r6-Kvd*sCgV8G=h@;1o(BoochPnb-uD1`YJ~0`dAq_A2 z+>?Q>msRDlA#1@6KzmK&l83BX8DSb_g6@jh~&vRO{ncdZyBP+-Fjys%-opjac{pfyidqm za)vN#UevWWnLTtyQTrs=-TP6yUhB42b?JKmSwxL+$gFNep7H5+ihS^{dJ<~KQL2ot z4?zr@r2;S!sHg8)J)SMn@J>d5te#0_`F`yrw4n47k%4nZ*?~XZdx86PD2R8~;?CPo zFAu#;y~?*_e2>il=eSbr6TX{X;pbsxis6Km*_#Odo{A64w(SaAI@M|`;Ql-4H)BLZ zeR)hd81=U9g~Qfsn(b+0+%w!+=!%C>m6^OBVB}aXzG5m@x&DTs8cVAhM(z-SHhxG% zHg|5H0{g-DUmry&zL)HcO`1i9m)%{0`7TEw5@DiA%ZAhDeHvp51IefmWlR_W`6%bJ zPn4wLa~gLew(Y%JcL!;gyN*}RR7RJ%IX&KeOMGjv2hp8di#Mn7j8Un0m~23rP2=As zZg*$0p5}LVVnkgE_! zUU@W(Kz<8CAxS2sP%L5vJ8+VG6AbxS%nj_yA{Wd38^>{xtrXiOxF5NahCm=CM?=Pa z^Py*;cn^|mt9#(>S3A3vklzMx-@fc1IfoM7e$PyC(oTflU@qd1eRZ|S)a`(DnSu~~ade|Zq%gJkd#H=g2hwqJA=;fYbkpYG}49*zYs|a2Km&A{! z0j~{)in^%Zk*rL1_{GUtBc>+`i;+Qre3RwXd4XixP7nvZW>7v|N=0%?(wfzAIGLm*h8&qz zV)OG^sTIyaVC@Yz2OIzu?ybO;l)4R(ov-c~-=e|I&u&zV;URFT{IsU6$W{;@i0SBO zH+0BiFkj8X^{DF5q1L$D6OXk(3X{RbA&sA(0t!hW-!{}qry}Vw2zoWW37u$m?I0;x z*WrJ>cep*5rNmW>?98(2eQBAl>!$w=WhfGz2}zc#w@EeKlbJMzLitTUNzQvc2Ku^v z{!J9ia1AlMRm|f6Rh>cA8St&dyE?T6ablnx-sE%LjHiM2hG4(u$B!0zMa`zw*qMemC!2<=47#s!E~dU&b9ave_;T4F;V8}l zyn&TF861m?=9C$z=&z26oEP-rqr`}mO+pr<6J}**)io_cBwO9%X#7CLX*`hW`!6^K zU$sGZ?T^FgFRHJUCa;HkK9PW-m(hVCaK(}#$^8VTeQ^P_3Ti#pOJ<`nV`*N@CST6I z0scMn9mMLb{CI)<7BkpEIGlHeq4{_p{l!Lk8?N+=G3@iN!FRd3{I2!`V>wLLLc4u1 z_3_tB=%_tj-R0>by0Gm$oWWZoEYJFEtD!=EeLbOuxC=-P;&ipZZ1_x(hO$i?V~-9>OFQr}@mm8)Zy<8+X`~(w9LIRbEfd{2$6+TP1~DL zR)vEzh+8d8m>z;MyV^*N@z#%^R7_st?EDBqJ$|-WQ`uvwz5Nj@tFJYEw49=>KSnmM z?Zhc9%!}7lM#&2nB`QJ3;lZ0C)U4G50yJh-blI91?)0C={3A;WXj9m2Mu``2eTTP?i$*U=aKE~swaoS0imwnrcpH!X zR5i>FT!4Po1|U3#UhHUq+if#iwPeV+KhFRI+EO6wX_ylYO;z1xWuCN%y3U({PIw5p z(IneXfA8Lx#iKxfQI#3$9mbnjd&!CcU%h}EK@Bs<;n|kPaXr6>G!GlOtNDJ)AJ2-} z58JOa+CIO=lxUb2A^?cm!)DFp!Ty%bvID-o9AD2falbX@*Iik>YYYCB?C*7F?x)Wd z|8CZfFVmaiYGskKLfG@+_Trl0jO7!)qm%%&pITS_0+T8sfBOVvqFjX!S@B>pwpJ-S zHe?yY0X<9lKa%l>4qBM7nXZvnDD*faq9iV=ocJ7C1I~NvZ%PhtS**!cu$D;K%}IxP zvvoDR~j%gCMG5z6P zk(sG>$~4RivHB2%?5NSdr9uYUZrKXI(zk~<3DE}H!`8#J-9~C7<~JXYd19a^?ftom zl;+?HREy%9z zKRoR?hEPOK96~-I{6AHR9LEbe#$vo#zt-Q2vVm}cZ0Es5g7ly?#CTg;m7cB3*=&c6 zFnvKQ`uZAsLoNDdsibCW$%>@~A0HWl(Ev-Jnma-0I69cC1XnpIe?>hx#m49cDc{{4 zBs$cqmz79J#+s?n1E&dn363wqkND??{pyU z1<1&zsqz&3P$P9WBqBnT_UeLGT$^7n<(m&Ud|wP5a>1RQ_QQ!Db||&;+o9e~DWY;c z+%Rux)C>29BOz+#{eQ0be~WMd3Yb`4W>kxg9aPJMmh%!$BSfset)JbJagx;rdrOVN zE-Q^{SBvFJCZkotHQ@wa4*di)yXe2w@l%X`La$DTyI%(z0X-Q>oJ_J;^OUuaUUJEG z2k50fMoO9R^H-o4(~PhwJKK5ue=mLnyhsH)OZc=)Ep`ub#7VfeVtum#SzZKKSi^bJ z;oTGUwgP;21p;-8W8hSe-=J6wEK0uB#qK-xh6*`AywVl@V)qb4er??MrC>DBRM(rvr15*Xv8^5P>aBKno1ZuSS4QAxsxL!X^iFM6 zm%A)6E(Ssl$3nri;pP({z~EB&z2*y{Mx`?VY1W$%ZUFh)cpx%U17@NKqxZ*1Ph!A7 z3jz?#*4EY;yg;>1R`QVnfV-{x6Y$r(*au z|9vFOC!XU5A;6fL;>d;h2LM4l?L*|?Jh$mL0`Xpq>iIDyrQGM#9#Sy|jXtS(>vdF3oVcI;&M z(8Cir$;nt>AI!?Gc%F}@4l%O)v7D7CpT0Di7Ef^geUVL>!<4rZ#_eQ83|;J@-ky(- zXp30&cLqFL#MDSPrs%`}$Nv!aQD8iscPo^kZNR-Dg7+#h)pZ4|zGEu-$F(f50oG?x z3gZFgZ=tc^95#!lXC9Fuu?uIW64b)pb%tbv2an90pzR_LpZL$@lNkjJ718(C@;Ith z5953DauC>6xfKhbveba$HKmjAwu$gj7F zGU55-ZNfY9r0v0bxdoLYiBTHwBnjsP;ctN{AONH2BjA2{MwzkA_s@XA`T+)LtjPi_ zv3NNB?1p_vz~U9?^Bnn;aAFhx^&S&ty>%wzby{DXPmY0E6`+G)ryYyRVdT8MqO&wM zTAEX96AU-0K%sOV|kj?S?ySSuR38-vydR0pRK&0wwI1T!8Cg zHIJsD{GaeG0Hyf386!K?xRajZg7V9K4Ga*;8|{wy;}*-|!BQnoKfly415PGalaL$@ z%9kEaU>SSy)*baFh9sxeu}oSrgHW)>4qDRwZr^$@6Zo()1Q7g-vU%SO2H7^*-#~j2 zI<4+5Jh_f)?i{`L4@C-t2_!kh90=p}rgsO3LGx)sy zAbkK~JKzoZeh0!c84>z>=9A-p5nGfX3v9^j*todd!=G%kT4X?*h3e4xJHbDGwN}K} zcHbiO-C`-)(;jSGmOQOiEBd%3mTK1+m0Z!{uXaK>Vr-fEaf>h9xWrmYiYs+90XQfc zj`ULakpF=ydM9H%0m!@()h0=UfQ3s6uIttC10;dw@qyf-^LFd(up0Gt3(G^eX5^9) z{-3vbiVX%14vyJsuA*icm)pr~;ryNWe?OPMx^VSwbm zFPCH#J^bU}HXbgG-vbmP2@ECC-iXabpTwnk9Ul7o=X&@R{CvukYcDVMi>Ec!^DM{& z+NOizF=7PLD8JPf>sDxaIRkb+41h1`!T}AalzcexN45VRIs0azi{_Q@z;`it;LWqc zUk>=eD+m;yqx%xP{cGLlCo1v828U8AQBMEj%?J(g+V4N~;}-U{UDTrQi>IT9r?uaW z;1_nN+?}hTrtj^IGaFEWJ%TAG%PASP`Q*(Ve5dJdmU7(8eSKrAJw4)E*fG0YDU|( z)5VH}zT5;TGv=Q;zHcy1Y>dxMqEvN04efr{-XoF8SCplT@i_i8u#-_tWJK}L zgjGNWyA)W7F2gC{SdfI^4#HI6~+C!f7s&)e&EGSP?f_HYE9$SzXA)_%4bLI(0e zV@M}*rveRBJDF?6(}j}5W&@k(*72$s>#Jbn&3fidsR2g$kGhBKG9U?JVr5^x7-%JLnVW`LcO2gu-X68@*u0c+5o0#UPDpXe6hc*Lmwdl(;X#4qC#Yh?+n@+UhgUkMAO!q6qfwf@B)?syk zf1*U3cwE}JSuu^H&^3nRlWSbzr)sPBXOdd}`>I7k@EM=sw>Y+O%2bErF|>pCZ)>4f zeBg`kkxk_WefRI%?U0$SujaZ<8ycFg7BUZ8UH8Fdkd5gE;+oE^-L+sc!0XJU-p)tQ zIa87}j=h*<`W$YfO1Hjf1l8lQQhUD1DI)>&iQ13SCM3an;l^my3+nK*vm$vYhC(`8 zbHlq1mJz;E3!HnK?{;-qFp^H7C^>Z_J)$&j+x`iVL8jCqUGvj~p=k)%K9&`HhZTq0 zZh03`d#Kvs4jxBKA-Pg9N!KZK?08AY{Ekwq@!@Fz^$hw*bGlhyUY2&*@fFVV@h zm2OOR(J;SnIUhpXv2FPJPO!8DseG-p%5_!ycy4wl2$@zo7JM~t=Xt$6SzkCz;P64* zb8AQ~%j&EzL05ExPBX9kAYOB5V z;i_5b&FjOPimPRR!Pz*Dc?CULZdUTX8!SSE2FJy&CDkFrg!*Wv@rc?$6k_FNa=CajrUoyI;NkcCsRo$a&OsL%lXURanfo;pSekTCY?LU9RIJMOQt>YuF{ncnpKgy+StZ8sn*zUGOX1 zo*Aa;btWdf@jnKLP-cr*Nb2{kDs9u`ah*|QyW`dNsfv~fuSKwF25L5fivAUBeQtM9 z9M`cX1Z?#hSBYYwmIm|?&d;Z}G|Np?wx#=s8-Kcyb}pH5ZJ|~1mUlDq^L2MwbFxa( z6&UDlw8vrWz*RNg2_X#dN|V&ytwy^+qUHA>_%T3VNYNK<#OXI@2v=wcDW!!MF-~)jQpqS%(_CEq%24x{6S|J2`-bXknH(mFO390gSqsBr4OGG!LR&_KRic=y z>%*pf6h=s(w66cvK}`Ma!3@UGvg;0lFn?N})F{p9{VfuX&oFMrX$Au06-4INkKWd`&PiO^~~EmieI)fqoQ2Um%H@ntNP zQjS&#<{-LkAU^3{D1&I2{oWN#^B8MJYcif5@@&or6roP|^Mmto#7#iVjnk9UYY?5@ z@ICm@@O(7Zrj1M1o=OSErp;dW7Ym4nT%v$NOmg>@vb-<1L>^f+sLA`qNW-kpZLVC~ zU6H^jl$6{?1Go(Hm$NAxGRiw4Hs}Xh`&}pNXIq#t&t6~P-JdQtc!Iw+5rrxdl|tUE zlNne*uTqrzR@m!XNuIdY+AVW|nU}&ai@=&@_t1u){)cd^7qFFM$L;(8Cq)(GawL)C z1wq4M%928GLgR$jX3Q0w3xHTd>$s3rx&Bi<;7ASZzIlb6G%IA zQ(Jw;`A?iYt{xy`O+T0?=nBO|YmTIUmZD&Rt;OkD>$n6`B93|~WO0ufYn zn_NoWRz}IQk8RmEK5V=6VjN=u`KT-W0pN)p$9CB#OJlT|4MuFNBRWa-abF_x-feNEZ}~PjS!@rzcLWi>P-|y`$Ct}mlHJwe zoOQVlwj)=!5Q-edx1Wi3XHe8WY27iJ%$NO?&2W|c2+`f~$ca`4D$5;c4h9kVyBcZ21oGxO6!)Uo_sL{3b0ksT*l7Q^`JDqH<~Y;O)G!dEgQn+!PmN+8!8J7AmrsQVF%P7 z+Xm!7ygtXVN|2-zxRvjiGhdS*!$UNKd8WM8M18h{e6_*;*t&~%Lj)_=reD5rcq~R% zG;TU=njMr>L$2;{1psqqr-JDdc%quS#8j+!b}Ze)mGWWwVaEn9$QD*Hbkm)t`893F z(`O}ZZI|(EL~=U-^18iHoLuNSen3@`b8$@`IB@FU<)hdcF~7PD z3RJIfDhk|Swz4FaY_wWw+WWqoGd}xeXBAyUM6aQ&Vi%AXK;&^FNsfO)7lM>7r9e zlMCk_xA}sa){|PxO%)BAtgQypzT>lbjzP3L6E#RQB5mtrjIujG8j+ zh-UE3w7l2KJzgG71nc@7ePQ@j;`ybB^uWHm(JPiZ<1B9=O;nf@S&^i#43zG9qE$1{ z6r>Y&kmgzfo@i?wx0_5}l5JfrPS9)2y>z%6wS}3B4HX)`A(`ESSqV0x1 z*2R!>7Al9?d{yFS>&-W|PB@T-mB&{Ez!4J$xFx%FHnp>n%j|c#lXsW)IDi6u(o{y` zvKxrCTddj-$J7^%-c#>XD2^`A6g7hHLYwAf?7%x)uG@h^K0Fmk{NeqJN&gI9Z}kkm zr}M^G86X`ijge6RpX-Vxm9}20NDt9)hqh`V#U zgKaNOlntK;7soGr(zCeO@I95E|Iw=N?ESm)csj3NobxU3bul>=iV{n%*Oj;rLG%gE zlI(JGO07Fvne#!32MK`~Z@iR2&6ujT<&x?7w)%Cm_FI|h?G+Cmu5OrW&3dIqa0@#^ z$NOqm+xE&`?~drx7+C`vLed%e%ld)jYHrygHjrH{2K`xw1@3#>@pM0H%XXu?RtaT} zf09kCAQ*t#v{ZYxZuUDo#Rd6^QYUuyW@=0MF7`?xFg$FJkH;eVt8X_EM=yK1s-=S| z)+;QAw3?HidChjggm*x-@&ext#~VK~E6oPC?ZfIL93MD{qY!bs)|HGo&8w8AGAvx$ zw_fG*msTsABcr00G3fd%LhG0lW@gj!g3jZEht^>k(_)=7v%>+Ax9U$pzdB#-Hhh20UdVDOC}Nt= z?|2z1L3K6!5i8jXfKd%3$?rMSI2bIffIoGCF14t`#*e!k>@2%pBP#tsg{mimlYLIY)N?WIyR&7>V9-%+Yl55$=*oj#rMc)H`Q0B56Z!OaQ(B$r8qPLnN(>QxkO;*rCK zY@BB=mewrLz{FW?r$NS1ip$5?oowLa1$EVam!{jp%Ozj(^%gK3ji{z@qfe+3$`~VG z!;R-wT*2o`B~rz_O`i2{^ZgN=dV31o`ar%lM@4{sz<>v76ItGA$w!UbQ5O5i9=04^;eNe2IeoCdzFmCg(wz+?-3Is>vJ`pB>zb$E-ka$f>?P`>bHugZ;lqv8f(Zc6mzb;oBE6+w9 z_V^8L%+=B)B_dX`aq#QcfMa{8T=f-o+K*@!z7Y_x+C)jzmJ zEoBGmq9`Jo14X#g(Y~q;nKZi{ddR_CqJr}Xa*y`=FXW&Q+ULdX^{e57kP|UwB#O}E z-|cyMAi7W_*X$V_N5mQJy^@icvf4nI*ouDda|^8kG0kB?&VmDkEW%?|wI8H=&Q0Er z0P~;+E>dKlY2s#>y$pD=KBxa(#q6f}eBShXpzqb~4%6V)3E7$VqnFap(-0XA;Q&pA z*4_31?$@*bd;R|8f|p@&bM>AV5b)fEm2XvAN2muvH(|e9Tw3fPUTwacKjc6A@b+|q zC?1DnHI&r{HsL`#uPT%vmba+?5)`B%lsAr~PEn*7#W3`HQ$J%-n0noUkmv1bn``0cwA9Nfzyg0W!L% zC-iWWjZq%wqh?(S(h1`($fp97AtHke1D9N_LCQ;n9mQF=k7_?!<`_BB}UCF{>JG@TV@Ph-<^(!rKp2Urppq9}6%#xeo z915YrR_WNrO(bw|q;6OaR9lemVm4jxrl z-N{2GMs$=wA?>i?-#*APy;`?ugE$;XV!Th5fHn`_F)$v~q*2w?rkCZzVdB%P(A3?T zfpPp-5!5$EAls|?Q-T}!)hn%5Z6B{WR4ge&|JvTt`k+gjxEcO?y;erq9r{Ud^!C#3XQ6m!ie8M)SXIvuO+0NUmU zXeqbDUTDI`K(02!nL8T?aZu;c`u#0aceK^e8&^~$FPn*;ga+HncIeg2yN))QabB!A z+qTL;Sugy9-;IOQ&tVlk@P*3z;DBLWAwoafHo~W_*ER>&0t>>JuiV^p#-gO0)9n16 z+q;jpZcYn*RQ2rd<_u?U174ls*+UOY8kgM=h$+@WPzAfgPCQO9s6uy1w@hjU5VT2t znX2%?IcVSOhQr45q_fts`T*jY%;C6kYsky6@J^auMWrj(;o)}6Vbu%OnGXv8wy}0# z>3@IVRvk^Y)tv&ud{??Al1PP1|( z700=@&0n&P&r1Rw`t5Sh&C;D{M#fG)ck<>`zj23f2NC>2oJ=f!7)!SS5x&W)$@ygE zX)tH7_eSq#h7Y%7r^E|PV_Frpu9c5i&*2O{IOiN$F=&tod*9n{^@kj+Q|K+w4KW5~ zkw$gDs!lwx7sU2UsTz9A&@Z2KRjklg+=!~w2dd4=X9@V8MW)*n+)OER?OgYX+7vGF_c?Y)rHenXgQ|L*|K(t5`S^O(*SJBF{|W8h&Ziqr&|6Llz(^z%B)MO6(|pqusH}8B%}a z#krlxZ2Uzu;jv*-ZKNwflbl_rUmvT>l&D z4=4d9W1uJkS5`xcxHvE(zRHL5?IebuB#f7b>ZA!;(UcWN8nrZKpsK7saJ@^6VWgmu z+s#@e8j=JY(@@11LW1~0#q7QWh-Q7VKhb`vMKUMT+wyjuXcU^C251boYh@@*5kI&Q zF?sMfG^{(D^hOf*Q*>MepRNz+2UD{M#x=QI4n~tV7CTiiH$8d}Ydm+JUuH5OLLkKj z;U5m#ARF03xdS^bkXZ zr;xwd&y9$WFkeT~O-4e7zI`=D_}b|$W7~~(1W>&Q2ju{RxAldkgs&?X<1UC5=#3~E z=Qbt8NaEqh)6$C@tY0-rr?>0A`7Q=Gkr#GOp0lc(T7jF)$E#~!J{NBDdgdv&&Vsh< z)*#z#V#_7CA@tyvO^F1QI+t@@%6fi`=ISlajJxX=wE@X&NYOve3)@3eQF^V)_VA_EAkA$T+vped>BC&6^gacf|-fw(7pR^QigKq8e#z3?Qv z@Sraw=||PCg;_0mX8D-;|0(kRiNK*0dbcY@s~ZJQCn+4))Rv!MZpVGzOQ5_g!ZP9O zmc|3cRXi?O-qP@?4Xj0%m@DR^#9D9IJqFbg*O446JNRSI0Nemd>56x=K&w%`PHML@ z*-|EXevHh^0m_Uw*z`xlnDgih*o?%)j@z5fP54vbH48>Xf7-6wb428Nb(E7Ov=UjH zW;)r%PTCUUcoHA>qh0qSaOh{6I{13+lNLo{c%nnu9ty6;x;xT5b$AgUKD&8uVThUZ) z`ALet-~rl0;+$2N?8K*YLly5UjmIs}XNc{1g6E7;%88Kz->YMca-oCHG3h=dXpMdi zyE+=>)I))@dB=E#u0E_+$4q{-jWw!K)Imgxx2WD9VDdmb-Ix84J-|3C+|T^6iQP^dvC`U~0MY;15CBScM+^Gn z==QqV#`)?Xz-KFz@7u4+;o{~_%8OOyu29IuX1?&G1)n(PE?9X+@7)1TAK-dxka<6n z{3FIN2sd$Qa;amD^AwY7H2)!#Ex<5f+NiJ(?}uh(i_5<^mjCg`3<{_Q6{tIZCgLoR z)O4ZQld)A|?*_ zayXLh|9DD2SZBx5!T#7}Vs~besYPsy?iXKE!9Q$pLTMk-3|vs%P81|T`9ilwTeX~u zk&v@J(^w9(orLFn!7G>uKU^;qC14<1!b%D}!uVr#7voy9S(DSvL#WSidG<)3s>T)* z0+cWZOHka7LMT(-$oho)>1m=GlTFl?V+}=F!JHGl9$}();ZYar3^0X;{-^H$TzPxEh=OSHedYzfAgfFK8#_kY-eN0Ta1e>A|7hQVbJzAQ2nt1f>y}JXdvlx`NhN1 z*Z*l#5PCobV1f6v)Srg@*FDobFqCVDD};OkKr+|bJHT(JFR^h)P@P+t+lNxMD>RFP zK$M+Gc$|Sm%Jz4Oss>1{!s~zXdZs=v5bar&h<#$h~VnzUzev zD59dGHdrQc+#OGaUcLfNgQ;ovH2&XBvxw#8l=YS!aXGHlSpDHa$5Uc@a`WOwNkGm& zn}Sk9T%65no`<~rH}ljA1LSp?K96Kcb(R7vu-`?13BsKUy~C3YTiCDqPCO6l2;QuB z+_QKrFgB(rlIPeNjBm4%8QTNWk0Vd>b8_C@N%@BHAHJJ%`wN#99{&eYd2jIFQKy>% z-sptdfjF_NP(70&Q``E68N}knwQhicD*wpVQ({RLbok$(@@eE4UU(1lQ=Mk6gf>=V zwPGS=Ahn-Fj>?KY*r!GK;xK8_-(e#qlekNT(SOLkYh5g{cH11yWwl!$M0Ixh^?pGR zl+?&$c*3&g2suom_|F%7a@qEu{A+*-DLz~mrKXeoHx?1}!%3nLpmny`oG)TW=S9<1 zf|alN8unti2~l*YXnY~j;hq=GnIBS1{d8BgxUgGA@;6*a{=GNi&~DbNk9wy}~V zq_m7UwF_TZz4LPc2o|vUlMd1KA(S%MOr6o{+0z~xHL)|7(Qfp!*J~YkPL`C<;Sdyd z$@{*(6iyZsj#|M?3wSGQeHcSzF6PfiqDlXG=TO<{r_D$$MKvrrahq$$z`eKY83-7>dJzICm!GHA2(5C8Sh`s ze(4}L%|;IV|dDsQ}h6FbVkIL3<4 z*LiS%2|$E;V1*R88uE-lmDg5RgX4+60w>x1G3!0p%5|q}{yizNr@jyQsY;-Xke1X#M8v(L;1 zb~~aCGhC_xcZcp0tkHMYALOW>+Oo$&(w1`Hy_NI z^p?l!QG541p8$XwZJu?qQ62ZdkVZh*?qFv~FI3eJG|pF2l9Cj;ZoVPlijfiQ(0uz5 zU2z>_aH_Jro!x9%S+80andQHB!FN(0f;Z=SDiucGSKx5yJ!B&7QCr}rgH}*F zgC&|WBF)EOjk=3JRHc@{=UBuK9J>xr#(sjk497$tVn|%TnGQB#4EjQ1M;L~TAzd8-~w?Qblq2`az(py4!r~VU{I{K|BDY7c;bevjZ(?9^jir zw^EE6xz~h{E~?wi6HNvSa#NDs@cY2)shKoo#l+)DPOy*aQ3%Bbk2zHyEV(2G8MGnk zR$E{}aR5|svn zF`1+5pbIBVDGC!JRc`(qsQVL;v`Oo&;mE+L8@r@eM=o-o_N%CDw)xo~i zo2jwx@fjdSxkpn=vMmyo$g2Mh^}BW2wDIypX9%JG`TpYOgXL3fW9knJfpv;{TOnv#-rBBS4DPfa_$RT)^ ziJXD_$FicGp{pnN68$2angea1sz+ypdxd^B$ks%!WY183`FsQgmCBm4lkC(bzql-4 zcIBTsgja@Wd#k7i`Bq} zNi!i?5mLzI`b+WCJ3~$&+N%%DD*g0{q;(O4BG01n*$nXX>|V(7;qlQAZ7b^jF5fDu z?;&yB)(KGl?eq0q<-wyT;WE*=kf|?DKBYedmF>%I_0bsJ;tHq&qM$X%_jN8?kMozT==~X&?S~4jN~ScJrgBU^ z&S`cBe50xd92J2Mm6S=bQo8h!)M`Z(1H8};hi+(9SuS+$=K4&0^ucG&OdDvqv7CBT z>>n~%ML{lpMRs|6M<@f+3izH?3sq*_oQ6P~(Vj`)V)ANdf5{`i7tdsAuE+1*5!jg7 zE$%a@U9Ob0U4g^Jo0Bq18TV`Ah_iVnStdtRg{$urK&tybU`gMButiu6BnL}w1owrS zT`PNzi3y0lPFY;&Vj@LZBYHqwq%=&@n(v{ z&HRt6Vl-3%JDvYkF+B9XV2YE~j z0opFQ4)G&QbI?zIB^eq^Z)&{W4q7%}$5_jj$WEo-jMO?E=w_t6kEFsc?X_zG$FWK7 z;fcND%c`y0(7Cul7%zJS zAHaRgt>u0aeRaMZ#%eN}BZ?VdfKeOHj5CT($Ca!-I@zf+Z%WYvliNI$@T zB&o~i{6NnK`Ysvl5&VtD1&z9&WMvm}sv+BUUpyHP`nRFn zE0MrWWu30>)QTK`^K2<6_yil5u%WkdP$sfdAqMc!ap)`Wj%ZsB>xBM`wOY_4JUv_#)FcrYTr`w>zZeJ=~Y{fiq(>ws9=_ z;3}sVs`%LVD(kuS5!kxsUnZtX_qSFbZS-%69VGd^^<}k|;@kGZBguM809&i7wV0i< zypk&L-?LWl>hbwAa7FhK%Ddg#9BRD!AYYIm8h&`P1IRc16mBbhVQ z@)M)gZWF?yb~Q!~>tfj4=s+6&#;nr$XpOR+g-Cp!sqy&J2COhqC-9N?vls)b3*;X% zKwso9l+#Tr~NbP_fmQ|O4=_L%WF@oxW`^a z01d#*ELwi%zkERKzBW zu6#tQ@oZMeSZ4@VjM8sSx$%~{{SI8UUgpl8EW=dvF30&eX8D#%KB#CcEjF8$8< zTNDfYVrbf%%!3fZ*{!@yw;o^L#(B-&Y#R=No73vUnt97UIj)$v>Qqk>`yG=k1iCLM z#1L2xQC!>e?Nkh(JHu6uR{RK)Y{!F2;Wm49PhqRtS%^N(_8^vttu}`&SJRs-qb07# z;|{%XWh=CI`9q=m_A$S}33Msd4J%}s$L#9-5Y*)K51z}=hd6F263tuiog~%l)DG`h z#*TL-a506FS_!=;8h9A1sfyFQQ+0R_u*1uHO@x6=Dp(AyFN_&*K3OED-f5p8~Ijb3hWhl7yt{ffdDE%gp6iKM2Ze!l1MC|{MO8g~&CnLvJ8 zKb55y=V0fix0bHWmP{(Q+-|=~v${_unN1K9t|2OYXbu z2|yzxNV{A*pNwE3P5U6L+3N`^s5Wp@0f;PZr1KRzd*ruyniABu@ebZuH(TW%dLM50 z3FViHkCvQYc@FvNDXUhe%+jWnKNR5}Z_Ka+%s6AfxsW6cBLvUpmEW)7-Acvb06Nq>m|XhS0-P z)EM0_qjH(LB{GdiuukYd6%=fISc%j700dB=D+#7Ot3~y#hrMi=Kwl<@UiC$!mS^P+ ziOZxQ?Cqb2z?#Ren!|n@91C7yC@CsnF5fyJcGdCJ=gGa6;d|K zl<>UX(t4h)b5Nn%@vR-G=`muAs8DM-OzH=2m&^%EmYWT8&AUbZ&JyMMDEvux-u%u` zJ+RFbR`9-^v+YfNP}}LwG+i+#HPs=NdD(k1ywZ1?Gn{Szi9p z0O549a(GwVP&PyUI|L6?Hfx{!WNFSY;E`n$zJdiNbfmL9j-BSGo0xypbVrGcv);GY zK-(tDRS4>)c?LCi-^hH^c0!?!ER2!FN|}D8s&?%H6dw*)Gg;rb7!FiLJ!^kaTCX?i zo*S}dbv$%W#B1mPY9%Ee{ChWH!$T&?D3E4@I%y|Z1wry zC`F-ti>6!lgh&-0_WmzN1kzZV8MN zT?pkF_4sv9KXr}Z)%r`*reD`f8DV};xT4k{JX{th4SDStyebCV!BA)8vVn50B8Cgl zb%7l3P@I?O+-vLG?B_!~soF31gsJF%xoucYupxF;*qdFs(YI};jD0^hVE?3hm2FlH z2?^#V#Rzr33v6=s9xhDbLR*maUctI}T-2>D0-gmPAI>_i`M-4`wIFDebb|YZNp6$A zs~rn_#!dD}m!*rWlVHH(6v!2%vYS$c8a}JObo!IXo_2uwOFTf~y;VopYA0b^&saTv z!hO;l`85I2qHC`OBu78qmQ~%Xs3gOU;Y`1+wiO#I|2W2-%5lxmk$`Bw3FCOI8Jx|B zizb6w3WGCCIq<8q)Yrco<*2u zyhkptosam&?a+uPlI4ol9HLf@Lpdc?Wg?Zd@aV4j*oE$&lc7q4k?i^eDBu0*LOW_6GTmrlc=63%ZIv!X zq64aFs4oAQaRBSa648RZ+Vg4pc+Tfm36NynlQvaErfDxV+&`*(xizzt04f4wi8SMY zQqM}?)p{NwNBLO80tKeE@d>yq5oPP-#^h^f&ENw&h{m-X>XE1Ilnim#S4RVZ+uhgi zlXAR6NH*_ncs+Q^Og}M5^bp{eJ4V}+SoJ@oIz%bgNP0eHNV zNabdQP)*mqGTBy%W$WdFD*Hy|Hi4I#+w-o)(eoZnWz!hQd$nCyXxk@AfYMPi*YZFB zYvx9t%Ke~&(wbUk zRaMng8;!Q>g$~^M`G{DJ7(+MfYw{jB z$tI}dRwB`b+K)`%Cog z8cxpn;!Mw?_ZGwh4N{5UY$zX|EkhN)gGD-$t%$6u> z28njmCuKD-am-q`d&SF8x~4xNBB zGsQ}HvpF&v-}d|Eg9islF-q@fStUA67H9`7k3{10o~UnUN_6iMM4rh-&&t2`{nXL) zLB8;%cD82&OjQ_FJFg?Ia&3mIZ4-FqHJdaA8~R2>A0)6b-B*F>W|^`8@d zt-QUKx!%)L>*4g6tlv}B*M9F8+nbA35Y&LvdwKRuKEO3=x{Hl?=5T#N6HiY+LSyj# z+5KkDB9SeaRkN|CkNUD>lADcC3E5&i?-&|EgJhhbU=|6lRP2}E%{vd+&FZLXD#`^M z`3@J5o;OY1>~I~q2o;RvLI$Xnw>L(Ml0gLPSSL0HKPEWPuF$SBkeaa?GO89Exri9Y z=&&c?WjCrx97c3+p)o$rTXjOT{MOZZ zbBJFH#mI^3_W;*&>RSE|f8|$UNSiO)Lq5Ha&OXi%l)Nq;{w}1^rqa2py|d-FITu4j zqWET}){opfs$S;)&}Mh)N>CnM4guAzZ?sufpCN+6Q7uh+-prLdaX6VJoVeL>zBZ~a zMw~0oSJ&12h=VDE9NX|sa%)F~_I7%6Yn#d`?^2M@f9(-^aM4}eC^q$oz7G)P%k_d0 z?jwJoY?S_NHR%NvQfAqx0ExFvsV)Nh%G)7(?L$L?TUeCl^qRJ`Bmr+}(EP9=IWY5AOVFZfQ4Jh$oNB)ypIJ7CpnXjRzwy1l#WDop@8XiT zu0@dHWlCV!c_R9Hy>Tgd$KV$a4R{ydra0*2hEWzb1IDA{FYS}f8W(Np0d%G>+riqk z@r;Z5s&|y4eMvwm%0p=Oj6(Y1HqEtT@KwBqy6TzB?!Q9Bc$8mQXr6G^>%z7p;&wLW zpv4Td#!k){El=#1p$sXJ3#~-L>Kf8I94S^ywNMvDW<*khR;>7^Huro(qfHe@({tT2 z9xNj#U{rTNSla53j;5HeHV-VNsJ^ncpY=pV9I;!@%~U=vNMA5uR!}WB2w9c~RSP1- z9S43h3ZqxCNIh3KbuWh2v~w9_1Na&1uSnqR&!C18^C=3DUgh01&uE4U-Z*WH<;SX3 zeIT9&X2N4#-PBN!+BJ+yg}B$*bn%F4x@=^Mx|aysN@%iL=coQPB?xf6#pvSReEkA# z7}w&8Mh^I_%3R*XBtoKmDw$G%#3qp&$I|vGQky2a4_C(NO{sOp$-F@ONKaHawcOyT zr2WLe^47|xWH&{WvHjAVuDLpLeTQ1@VFPm5!;*y_$~Uj-5xXUag~Tic&uwWEX)W^= zH;|OLw#qLdslPr_2NVGQi%S@AAAashV^o^=E;X)egW*B9(e?X%VX|L zDh!!(J*ytJ`5jOeCu=aHzyJ044U~W2hC4O&uJOEJSZ-su67bEeuU&YVQga{~1Xr#3 zGE;$KZPp9aIWV1Q_78oSEKy20F-lTeH<6!RJm|(kWY1~$Qk*k`Ij31_=7p}z33bH8Kx9_Mdsx$Qq2l~Ua~m%tAj2v`(nT}zErE~ zF5#6>073wQyWGC#ASaCT$>$Ne4WB*{pfY7+!9ltz7ZRn&lw0-=!`}`Fy%mp%|IA0i zQOw0!@_w@}On6srnYL`!up@TJ=Nv`CeC9lZwbVH4em1*#3tMw#R?c&#iTfe-SXY(V z71YVlOP}mew79PUhq92J70+WQtA;$uh^@c0j{v}6&E?EvCIY77x0RR|2W&KaMe^UgK$M zt|n|E+**Sw^Io;vc1K0P`RE_8Q6dBq7%gpPHx3oYYt{FvS3I0}{PO11y4{!m6l@Zj zCG&E03ZRSWrsb)vJ|{$4d_qdSXvsO}e0{?Qvu+b6IMC3c3E`kWy1kMMG*hxi2NlcVLf-=UPk3!lX^ZV%$qD5#Xy26?}kK$d9+eS#M?0Xr_GInxYwyVa&^u!2F zb{Ji_k)FDGXfQhO^hUZnTlT~+S6o(vN7QfQBKoLhGiElm4XLP=^ zD$pJAi2mnY4IPA5LDwavA<7yUqjn!CA8s6-+5_uY^dYpao-y2Cv05Iry7e7#2)LY&#nP_b4jK-Gei$$ESca+&wmq0*>H2)8 z?f=KBQ*LnVgLhLMDYft$CiStg?9sB-s@ollt%}+7esdxYcj9dpn}c+1cyjW!{Zrw(H1XC-Z9YxN*L3?tR7fcEZ5Y=u}Ckz{o_u1OQfOg3!K%B-j@TS zE}^N*!nTI@m51JsIfDf4n77sv<8gRN6;sThHY%FxyH@MQ5DpwUFIFTvIE&oqm)EOQ z25)}1TG#JK`=6Ule=WA_>eD>Z`d9SMd+(Yr&Q$7-e(hREL>Wk)1HtyI?+@(Nee z>BkEStLv(VvEPBWwu3M;;9K~kzuB?$L?qTx!RB|W=UgN#Y8D@9NIn(3vcit}9M;}6 z%lowGwN9zOlU^;=J_(P_PoVpH%l?fbCSE#shGnTCR#Lmvv70h>-2ff7@K+IR(CJPU z!|ZI<9Y71UAc)=5UE_HJROCOJxTDO-Rpo3(7tR-H$SkIL;q-U$@?oaT$({OZkPJlBkSa4m}oFA z`)_}E7f{8QdsgjS^z8gRT{TGmcbKUPF*u?Ef61#4%xnOYiLZ1sUg&Sbq+-8qGz&ki zF}5&YNGQ}yzG4I zcv14@y9>O=t-8~1C||{Dd`3~m!~VpYrdeYejefyr#DPM5oJ(k)ukS!BN%SC7{k~0S1+3F$u()M4kREPk5Ew*4Mb&N_f?#Z{*FP^-PT)Hz1F9Hy$ij$gTvyrTj!_ebU zA@xgOZX7}nP;(N>-za0f3B>}0Fm5A8K)s=;HKajD*@4^-f7lIs5ExN^u_w??pVads zfA)~IqSRqWRs1`ERS^g$&ED_(-lC8Eh4gC=0E04Hp8~H3bi%hh>_3a)9ZHLQ|alM|1?=} z_VRe7@G4+6&6m5Hm21Aht?To|;qdsrtnM^DYN1m2LfDsIRMrF$fv_p6=3zw(?w+{ixyjftO;#75JpUSY!q`01-K+U> z?UbSV>)5!B^~E7HuHn{0QXne3>CtIfhB$J_1P=EjTJKEpV6`+q~^*U4Gfl zSfgob*Xe~ubdy3>L8G~ADy`vLy&nEl&PT+QFHK!!8Qbr1c$1~$}g z9{C9#Sr85b>(`7dtL4RrQ0}G2Z8oMoQ8ctw*{J*R6fMb%%{M1ZZJ$h(MwqNAsQUp6 zPQyJwKn);X>w<-4)3t{miP8qB0@PFGWt!{w&+;|Khh@_i^?fB~K50?3Z_-ptw7u1> zT9A75!VwexPw*))em#0hr2K;*%G=8k0G9I43>4##+Qmi~$pOxZHcG<&mqjhICPr`B zdrju<%+$%_ZYV!c_|Sww>;8;%lOEczh1kTHW4M;^d+(PTgiwCf)-HKnPJLxAxXs+$ zaF!x>^(Kj}{S}n*$L{rMxjKI+DQS#BpQylkj?lAdtak4pCdOE%CabFKf$8y6IQwH> zpy4KWlg>cino^xrg*md-_N=ezcF!}uOIB|DUMbyLU-@OE`8H1<`t|6lVSg~KM2iy= zTDF#FNdAS~rqy)dA+KLd5j4MY{HQzMLtjn?Pz6_?^QT=ECn_3fgJtcGzxd;JelGcs z_a9R{i98JqEGg372#Ka~KOqSH`A1;R>({8XHAX+gf)4^%zPG>1`T)&Q@cVWvOC|d1 z(SR_!DlH2N=CfaEuX6&#D81hBlwqK~zLn zO04v21)o96^VyFP22B^^->Pk8t07MhMYF~3_Ughpi}|Km)bDnxZF7yTYI4LT*a~G? zTb9N`E9L|N8_i(C4)$gpT9!wN*Q(%r{yZ$(!=sqZ(fiZb>#%jBhZ8wYZ{wTyVJ57}szdb<)%1Z88q#@}Erz4p zLc+oxe&T#TyUW_CQ^Nx^O!VG{A1dibl+!T9NMP$+RTtXbA3d<+I$UTTF%Wq)dFP=U zh_*ld!S=zrotG_qO70c!nU5o{m|^0h=Lg;@=H_N4YukyNA90sF)_GrI)mD!taKU3?598KuWrplhc^H}sGQ9_KVlQ5VCb867)sQ4hH z)6_CgyL;muGD8)2HZJ7}B!8Ot);v{>Uny)Iu{9W}NEk%vWpBslDVzKH$7(uupi84& zkC^*B8>KU}3vS9#r#>&kK+HH8IayBEd$o09aAS}7dIaZ6yclmYxH$>G5Tv}9pT513 z4gRw~L+n=;BZ12%ui;xt&3Vk^yX2Eivo}QO@D$G`%{qt5@o5RWzC)?-{Jo;oJ+-2) znBDr53;4&aX48IWe{_lK`3HuAB!4#yOuI&1PgsehidG|!ztOQOWk+}Yq@b_QCXF6> ztd%7-K6F?mnU_-MxW~BM6?R6lhHwUF_P4he#ssj97qL4(R)>EI1p7n&WpDRFEX~Oy z!PrO1%}6&Z0;kX|(DFdRu&&1Zs`Q}im8*cwXIUJEycd=VmkAu0@dEWKyUoqDl=LH{ z+{jNQuY*=u^n_8ev!-iUOnfc7FT)3RUWz^JsE17SL_6rq#-XL7Kr9hqfoXmk< z|JfGA{l3AaA1xh`ZGYzCl3o}Gbf=oD+x?8A>#II5`f{1R0%-Q_qGZL0rfY}jB$qtb z>tnY|e~Y=2ZMa~Vh8OQN>L^;>X6%=_E2$?U@ULbLvkroTHS1D{Pzx6)4r zeYDjEL&l^6o9B%arF!DMWOW-+qU?X!*u4%A+O`Zuv*|f?j40I;QH%~8DgT)9Ww^Hd zsK?O@?CBhHFHa}J>E?o5rLpcqmNa_2bAIDq!1|OCJQ+7aNi&yS z|Jd5HbJwKjq63vknwMsxtUqBlz5JfpoLTH)_LjtqcvS;C_DxelsCd3+QkB&YLV2F) zCDJ2%;s*H82g+=z_$5D;{wljL1I2qPO${F`>T+l5#10Uqm9cZwG6D+5zPw86iv;U0 zynqc0U!^eTct^dZl+>0hh0>YaRUB61=_%z9qPvQ+KGm*n1Rw_cDt_v}&)yyM+V1Cr zf`x2sjpVu0hLU|``o5Z&#J z6(Tq^!FI7rby;w3KIt)U!}BPcX`@Lka90Jc{NG0LAKssExIg1e!;HxscV}q8mRGFz z+U0Z`|0n_XuU-ik^!AF^n@on&d%_nZM;>p_;B$;nPmLg%FsEU^%!&}$GRO+5f{2TF zLEOKn6c@*wpvV!GIGDFzMaK&W{8U^vpH?(qy9q@n{X~>$@y3tKd*LzGc>7PG&T3$Fm%XEZ@+1gXAa@Y?0`#SyD?z8vZ+u1Do z;#Lu~24KEiNd}^4mC5M;^_ryKSGPFag4c|7GGiNPVLY9MVuyS}=(tnRhDAU@E2L#h z{w6CDAWkwwbBY@7^s2@6T*ooF4hZK-C}&2k41P_t&ug;uU^BX*bVEqY#^ob6pafqP zzl4y^pYHjL+|J)ry$47BNqS|X7a9SVRnrmk{y{jtYOSmS9)oGEFP5rK>Jj>&v#w`t ziU`C0J}10{XdX8JAY!4Pip7oYG0gjn^jtOg9DIu zoZTCLFNaN2k5>)>^JQo4PlKV>WnUhzkLD(FiLd(Nw!-R+0LxN3WW!E(Z!V`dPN#?c z8CT)ysBA?>1=BL3(=k6|hWPmT-_0YZ@`Xa;xtcBKo3L1$OSmuBGk^-~Kn$fs%sX>) zbJrc#YvF&HO{Tp@;_bKm5){#Vj-0ubCzWKRggQ3%R=?$bbx(eHMk-(Rd-f+oobE31 zPw@6vrO;J=TiY_K31xGiRN=D`tb}msim)XQ?*kDjppiYJV$yuQ6TWVjPMqnEKhM>q zM!dS4miqT58q`F(%cJDx=SPaMDcyp|jlfSW$?KLVf0C!{y%e`XM3-{&vvAMlRm;V24=>6NmG#=G1 zZ7NXGzujX;D$VouE+kS>@2eo@OJ_BdmU~n01W%SyRL-JK<|_VDQjm7J1OI$BuSG7G z-B}crMZPIcTKN>(58->2uc%;OQzBW3_OBay>{_~f`Oh~rf1cJ_VD3Sb{6lE8*M>`{ zm0YEXpF(x4+|@B8Dq7#kiqL`2O6aF}n2)0UbcHcFutO+APwo8CLAF2ViW$#WtpY0! zi=$ymFEf;pud~A(+Ux?<=x%JKub*dX!XNTlVd|1MS-Mq!Tb%xd_n#a_F@%0$k}=!9 za_X%YYNyA?ej0==`htSq_R*+WjMT^>>QXwSewqV3R*q;7%b=ps)$Gsme580glqdDrozw9C)bx-pEGQ2fbLHcyhj(k9l#umskK-(o~^>r;;K(di&SjR=EcXHoa`@ zcPN;w$rs@~jX!<6mv1zxNWw|~8t9lM_KNd4$*#E0n}&CaeV>{NSNGu2(jyHf`iH>? zrmIkp5SfW8G#|^e%tAv{ESUS16jesu@o+f*#b^CbnCJ{eb$M@a7@t&6!Nmn>BWrEx z3I_WSYu*nis8iLMwqTW1%@=Dnz;t=0zFyr?BLm3dl~)3|Ngi;{#KL`exgpUT$UBH8 zsMiP6;9)HtsA6haXo>l?9dAgxnjZ8CIW3nF`W3~0WzREA*?ZRyeQdb8xOtypjK}HO zKX$SAC(L(AzoL591(u&A&TJ)^5)_scO-0Xl_|7rabt?v0NxJOq)VZF=G^0Vn! zb(Mh>4e~d(5=MCEpdUW55#0a#;^y_=X7@SHyQJ3ho0?G9g;__g?rBT$f_qoT*{d{k z4nUOuy<$Ph+0Hl<8Q}VK&oy!w5H#n-Y~aEBOsiVC#6KfWbNG*f)j|~IUfQ%Ekpodi zI^04=zLU`jlMK&mItrKIDzvbx^}vk9|06!g_u{ZKoxT@c!?)6Y(dNbuPBRR2Xv@F>X^3)$2I zk)Ap^lrUdvuvNskv3-3?IlfkBG3nT(hn$Nz4dmbVa&2C{RCgo!=eF#i59h686K)$H4 z>f`BlU=MX_&0;(Wm%WM4!)K|Rp?p1RFv!RmJ3XJB(`o1DG5xyKDoI3{t>GwdwtJMa z9KUozl+%+s$oN#HL+g0HlF-e*KPtQ=uB&?P+wTIE(~9p}*Cs+F9^3~WEXb9MZ?p7H zwu&^Mqmaa=SA>V~)SwxArAPqz1vZ(~y0iXWq@>{>R!YYXP!&*AiQhJIMNE{E=Py~0 z7v*eEU`A7?n#JsSRIfC{a)+F7|MA7WxxFK9`|1=|xy`34W~{ikQjOnL*%>R}9HmZ_ zNDiEBmpdTEL&oj<{hm4c)KN;zoKZWisUw@(E>D;_ z?Rq-w+G&@^QK+)AaQ@800+NzVkWcEklc9x>cQ-Z)SB%zG?SPvn^9FJx>qZ(Lx$eDP z@fS3UGE8}|VZdpgKp3~d;_?hcCyqLe)XO~oJXIdIKaR4~K0So)w(1fve`Y1l$jFu> z>Q9}g2WXwD`>YxW+9u-@puIQ-8x0x|B#k*5;Og#Pgbm7$uu^7}OOaNa2laG@I0R&m z>?kO?&P!eKk2I-Uy@}5yDW}_X*bD8c-xK@X9x%~Uq7R+H=;cWaWq~k*09?0o%`c>~ z(ziC6mDsdumltNX!?qJ7Js(#9gwf(TPL^^$zM)HUTM9I&UG(dW89Ze2L3&X2 z`$@nX5gniFF@%EczRq->t#Uv?%cACo01#zJFRFU zHhYcOHoYts;Xn5T4g-ka8FMIcN{tuWT2WjN|3?Zcey zJkG?oRS=$J^G$7WO=Hh|V>p0)IzEla)lA6ly3nn%Dwrb?qOY3@ZTeZy70N%n)2O#& zVSL@|dW#iTd8&i<&*LHY;bE-ZPhL|#Cnkt|37s95qvSZ z!&OUh-X(KT5n4>`m=l{$J$G_=XPCOxWVaEa#%}5RIYZ?J)Y49#gl7Nq3?mEwl=k@n zTVc^*)yvTRrf=>ygCZ6}KfNQR+u{lYZry4!vCLZ^a>ae9YIdxDJ{1)o|E#i=?j!WA z7W;}#LXlpU`4%k4Y*JTdHGAxX&m$yBZ5%U{w$06S7(}NW5yXUJz}u-FJce&r*JXEF zyBk!584JbnyyfI#W6)!Czo7q*0RkAP-b*;Y4~lpAo+=Kclww0%�c^-CW3Uk=0#p zvTjUqoGS0-q`LGx9e?!f>AStT?z1D3i~+%G_Nh(;pDr7Du}yl@YQ5_3cRMUZorKj`RA)R{^<)$9+A=oa&1g3a0@xp{)wq1!)Kn??*p_z_ z))ki>5!}^&+wO-#(yGT&QU7fJRjir1JN;KWFf>#f~zYm;i$vX~y;iK|w*fQD1Nr{BshKMQOe z@bU)EG+XOq_s>G>^E1Z?|q;yPEp@d-l>fyN^XKT5$H~nUemUa@m_cgI%ujI(gSy zsb5#G@2;*~e!FD*CmuW{_#{qXWw|U^{#BK~b@{Ev>!+qB3eVW8Hq&@{4Dj5K?yyf8 z)sH$id_7;6`u{!faJR~bty-@?@40PU`L4x`aq`tni|MPLZqf(N*_@d3tH(HMemwK$ z+j-VD6_+j7HfXzOOg_C)&G_t0UKZ0UX=YEKZO11kGbMEOswY1lN3#n`?Xdlk&qup<{ z=FT)e{q);y-%k#oRTo?iD|=fNVA2z{f1lUBe_to*C4EVqan{lPr)TnMs}d={EDujS z9&dcZ!f~eOI&iv3()QN6OE0hMCxpIyQ5Co44a>eCPESC?sz=2SU%S%x``gtmD}U+j z-aP%@y{})BRw=$t1r7zj`1|W&`_(jFyH%&X-uopS!Rd!w(FK2wbIdCV3Q+UgBD`tW zt`#~F3H}prgxv|Ut~)ttgXpx-8A{86Q*<1sKh-dwnR`2>HMMHi%gd*M{5NNhE2EBV zzz0e>MAkEirnRpJE+Y=yEEcj?#zFyjZi|Ci?y70CWb;itsRb#3O!Zi{0|Lud9# zxr)u^PkwG}|63>P+WFPf|NeH}Rmy#$jW_htUhAu=ef+3{=_rFKDasD33L{oS24naB zy9{hW&NM!*bIkR$mqNm)S(Tr)I8JX0`n>(~+;X$X#F=typS7g^ldD?X1qRVc