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+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pathpyG as pp\n",
+ "from pathpyG.algorithms.components import connected_components\n",
+ "from pathpyG.algorithms.temporal import lift_order_temporal\n",
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import torch\n",
+ "import networkx as nx\n",
+ "from collections import defaultdict\n",
+ "from itertools import product"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def preprocess(dataset_name: str):\n",
+ " \"\"\"\n",
+ " read the original data file and return the DataFrame that has columns ['u', 'i', 'ts', 'label', 'idx']\n",
+ " :param dataset_name: str, dataset name\n",
+ " :return:\n",
+ " \"\"\"\n",
+ " u_list, i_list, ts_list, label_list = [], [], [], []\n",
+ " feat_l = []\n",
+ " idx_list = []\n",
+ "\n",
+ " with open(dataset_name) as f:\n",
+ " # skip the first line\n",
+ " s = next(f)\n",
+ " previous_time = -1\n",
+ " for idx, line in enumerate(f):\n",
+ " e = line.strip().split(' ')\n",
+ " # user_id\n",
+ " u = int(e[0])\n",
+ " # item_id\n",
+ " i = int(e[1])\n",
+ "\n",
+ " # timestamp\n",
+ " ts = float(e[2])\n",
+ " # check whether time in ascending order\n",
+ " \n",
+ " previous_time = ts\n",
+ " # state_label\n",
+ " \n",
+ " print(u, i, ts)\n",
+ " u_list.append(u)\n",
+ " i_list.append(i)\n",
+ " ts_list.append(ts)\n",
+ " \n",
+ " # edge index\n",
+ " idx_list.append(idx)\n",
+ "\n",
+ " \n",
+ " return pd.DataFrame({'u': u_list,\n",
+ " 'i': i_list,\n",
+ " 'ts': ts_list,\n",
+ " 'idx': idx_list})"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def reindex(df: pd.DataFrame, bipartite: bool = True):\n",
+ " new_df = df.copy()\n",
+ " if bipartite:\n",
+ " # Skip assertion checks\n",
+ " upper_u = df.u.max() + 1\n",
+ " new_i = df.i + upper_u\n",
+ " new_df.i = new_i\n",
+ "\n",
+ " # Adjust indexing to start from 1\n",
+ " new_df.u = new_df.u - new_df.u.min() + 1 # Ensure u starts from 1\n",
+ " new_df.i = new_df.i - new_df.i.min() + 1 # Ensure i starts from 1\n",
+ " new_df.idx += 1\n",
+ "\n",
+ " return new_df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 400,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from collections import Counter\n",
+ "\n",
+ "\n",
+ "class BipartiteTemporalPercolation:\n",
+ "\n",
+ " def __init__(self, temporal_graph, total_events):\n",
+ " self.temporal_graph = temporal_graph\n",
+ " self.total_events = total_events\n",
+ " # for count underlying temporal nodes\n",
+ " self.src_array = torch.tensor([edge[0] for edge in self.temporal_graph.edges], dtype=torch.long)\n",
+ " self.dst_array = torch.tensor([edge[1] for edge in self.temporal_graph.edges], dtype=torch.long)\n",
+ "\n",
+ " def create_event_graph(self, delta_t):\n",
+ " event_edge_index = pp.algorithms.temporal.lift_order_temporal(self.temporal_graph, delta=delta_t)\n",
+ " event_graph = pp.Graph.from_edge_index(event_edge_index)\n",
+ "\n",
+ " return event_graph\n",
+ " \n",
+ " # count the number of underlying temporal nodes, S_G\n",
+ " def count_underlying_temporal_nodes(self, largest_indices):\n",
+ "\n",
+ " if len(largest_indices) > 0:\n",
+ " sel_src = self.src_array[largest_indices]\n",
+ " sel_dst = self.dst_array[largest_indices]\n",
+ " unique_nodes = np.unique(np.concatenate([sel_src, sel_dst]))\n",
+ " else:\n",
+ " unique_nodes = 0\n",
+ " \n",
+ " return unique_nodes.size \n",
+ " \n",
+ " # Lifetime of the event-graph component, S_LT\n",
+ " def compute_component_lifetime(self, largest_indices):\n",
+ "\n",
+ " if len(largest_indices) > 0:\n",
+ " times = [float(self.temporal_graph.data.time[i]) for i in largest_indices]\n",
+ " lifetime = max(times) - min(times)\n",
+ " else:\n",
+ " lifetime = 0.0 \n",
+ "\n",
+ " return lifetime \n",
+ "\n",
+ " def percolation_analysis(self, delta_t_values):\n",
+ " results = {}\n",
+ " reachability = {}\n",
+ " survivability = {}\n",
+ " percolation_metrics = {}\n",
+ " \n",
+ " for delta_t in delta_t_values:\n",
+ " print(f\"Processing δ={delta_t}...\")\n",
+ " try:\n",
+ " event_graph = self.create_event_graph(delta_t)\n",
+ " num_components, labels = pp.algorithms.components.connected_components(event_graph)\n",
+ " print(f\"δt={delta_t}: Components={num_components}\")\n",
+ " \n",
+ " # component labels, the value at that index tells us which connected component that node belongs to\n",
+ " labels_tensor = torch.tensor(labels)\n",
+ " uniques, counts = torch.unique(labels_tensor, return_counts=True)\n",
+ "\n",
+ " # I also store the component sizes because for XE calculation I need to extract\n",
+ " # all component sizes except largest one\n",
+ " component_size_counts = dict(Counter(counts.tolist())) \n",
+ "\n",
+ " if counts.numel() > 0:\n",
+ " largest_component_size = counts.max().item()\n",
+ " average_component_size = counts.float().mean().item()\n",
+ " else:\n",
+ " largest_component_size = 0\n",
+ " average_component_size = 0\n",
+ " \n",
+ " # label of largest CC\n",
+ " if len(uniques) > 0:\n",
+ " largest_label = uniques[counts.argmax()].item()\n",
+ " else:\n",
+ " largest_label = -1\n",
+ " \n",
+ " # - True (1), the node belongs to the LCC\n",
+ " # - False (0), it belongs to another component\n",
+ " largest_indices = (labels_tensor == largest_label).nonzero()\n",
+ "\n",
+ " # the result to a 1D tensor\n",
+ " # it returns a 2D tensor [[3], [7], [12]]\n",
+ " # reshapes it into a flat 1D tensor [3, 7, 12]\n",
+ " largest_indices = largest_indices.view(-1)\n",
+ "\n",
+ " # This list contains the indices of all event-graph nodes that belong to the LCC.\n",
+ " largest_indices = largest_indices.tolist() # Example output: [3, 7, 12]\n",
+ "\n",
+ " S_E = len(largest_indices)\n",
+ " \n",
+ " # Per-component node sizes and lifetimes\n",
+ " node_component_sizes = {}\n",
+ " component_lifetimes = {}\n",
+ "\n",
+ " for label in uniques.tolist():\n",
+ " indices = (labels_tensor == label).nonzero().view(-1).tolist()\n",
+ "\n",
+ " # Compute S_G (number of unique nodes)\n",
+ " node_count = self.count_underlying_temporal_nodes(indices)\n",
+ " node_component_sizes[node_count] = node_component_sizes.get(node_count, 0) + 1\n",
+ "\n",
+ " # Compute S_LT (lifetime of each component)\n",
+ " component_times = [self.temporal_graph.data.time[i].item() for i in indices]\n",
+ " if component_times:\n",
+ " t_min = min(component_times)\n",
+ " t_max = max(component_times)\n",
+ " component_lifetime = t_max - t_min\n",
+ " component_lifetimes[component_lifetime] = component_lifetimes.get(component_lifetime, 0) + 1\n",
+ "\n",
+ " S_G = self.count_underlying_temporal_nodes(largest_indices)\n",
+ "\n",
+ " S_LT = self.compute_component_lifetime(largest_indices)\n",
+ " \n",
+ " total_components = len(uniques)\n",
+ " # Reachability and survivability\n",
+ " reachable_events = largest_component_size / self.temporal_graph.n\n",
+ " if event_graph.n > 0 and event_graph.m > 0: # T\n",
+ " component_times = [self.temporal_graph.data.time[i].item() for i in event_graph.data.edge_index[0]]\n",
+ " max_time = max(component_times)\n",
+ " min_time = min(component_times)\n",
+ " survivable_events = (max_time - min_time) / (self.temporal_graph.data.time.max().item() - self.temporal_graph.data.time.min().item())\n",
+ "\n",
+ " # from Directed percolation paper\n",
+ " percolation_metrics[delta_t] = {\n",
+ " \"M\": counts.float().mean().item(), # Mean cluster mass\n",
+ " \"V\": len(labels) / num_components if num_components > 0 else 0, # Mean spatial volume\n",
+ " \"T\": survivable_events, # Temporal range ratio\n",
+ " }\n",
+ " \n",
+ " \n",
+ " results[delta_t] = {\n",
+ " \"largest_component_size\": largest_component_size,\n",
+ " \"total_components\": total_components,\n",
+ " \"average_component_size\": average_component_size,\n",
+ " \"component_sizes\": component_size_counts,\n",
+ " \"node_component_sizes\": node_component_sizes,\n",
+ " \"component_lifetimes\": component_lifetimes,\n",
+ " \"S_E\": S_E,\n",
+ " \"S_G\": S_G,\n",
+ " \"S_LT\": S_LT\n",
+ " }\n",
+ " \n",
+ " reachability[delta_t] = reachable_events\n",
+ " survivability[delta_t] = survivable_events\n",
+ " \n",
+ " except Exception as e:\n",
+ " print(f\"Error at δ={delta_t}: {e}\")\n",
+ " results[delta_t] = {\n",
+ " \"largest_component_size\": 0,\n",
+ " \"total_components\": 0,\n",
+ " \"average_component_size\": 0,\n",
+ " \"component_sizes\": 0,\n",
+ " \"node_component_sizes\": 0,\n",
+ " \"component_lifetimes\": 0,\n",
+ " \"S_E\": 0,\n",
+ " \"S_G\": 0,\n",
+ " \"S_LT\": 0,\n",
+ " \"S_E\": 0,\n",
+ " \"S_G\": 0,\n",
+ " \"S_LT\": 0\n",
+ " }\n",
+ " reachability[delta_t] = 0\n",
+ " survivability[delta_t] = 0\n",
+ " percolation_metrics[delta_t] = {\"M\": 0, \"V\": 0, \"T\": 0}\n",
+ " \n",
+ " return results, reachability, percolation_metrics\n",
+ " \n",
+ " def find_critical_threshold(self, analysis_results, delta_t_values):\n",
+ " \"\"\"\n",
+ " Identify the critical δt where the largest connected component (LCC) rapidly grows.\n",
+ " \"\"\"\n",
+ " largest_component_sizes = np.array([result[\"largest_component_size\"] for result in analysis_results.values()])\n",
+ "\n",
+ " if len(delta_t_values) < 2:\n",
+ " raise ValueError(\"Not enough data points to determine the critical threshold.\")\n",
+ "\n",
+ " # susceptibility (rate of change with irregular δt spacing)\n",
+ " susceptibility = np.diff(largest_component_sizes) / np.diff(delta_t_values)\n",
+ "\n",
+ " # each susceptibility value with the midpoint of δt intervals\n",
+ " # I added because it made an error in the length of the susceptibility\n",
+ " # so, the first and last values are removed in the derivative calculation\n",
+ " midpoints = (delta_t_values[:-1] + delta_t_values[1:]) / 2\n",
+ "\n",
+ " # Find the δt corresponding to the largest change\n",
+ " critical_index = np.argmax(susceptibility)\n",
+ " critical_dt = midpoints[critical_index]\n",
+ "\n",
+ " return critical_dt\n",
+ " \n",
+ " def plot_percolation_results(self, results):\n",
+ "\n",
+ " delta_t_values = list(results.keys())\n",
+ " largest_component_sizes = list(results.values())\n",
+ "\n",
+ " plt.figure(figsize=(10, 6))\n",
+ " plt.plot(delta_t_values, largest_component_sizes, marker='o', linestyle='-', color='b')\n",
+ " plt.xlabel(\"δt (time threshold)\")\n",
+ " plt.ylabel(\"Largest Component Size\")\n",
+ " plt.title(\"Temporal Percolation Analysis: Largest Component vs δt\")\n",
+ " plt.grid(True)\n",
+ " plt.show()\n",
+ "\n",
+ " def finite_size_scaling(self, analysis_results, delta_t_values, sizes, critical_delta_t, beta=0.5, gamma=2/3):\n",
+ " \"\"\"\n",
+ " X-axis: N^(1/2) * (δt - δt_c)\n",
+ " Y-axis: N^(β/2) * Ï_E(δt - δt_c)\n",
+ " \"\"\"\n",
+ " scaled_results = {}\n",
+ " total_n = self.temporal_graph.n\n",
+ " for size in sizes:\n",
+ " largest_components = np.array([analysis_results[dt][\"largest_component_size\"] for dt in delta_t_values])\n",
+ " \n",
+ " # (Ï_E = S/N) # N* is the maximum possible value that S* can get as a single component\n",
+ " rho_E = largest_components / total_n\n",
+ "\n",
+ " # N^(1/2) * (δt - δt_c)\n",
+ " scaled_delta_t = (delta_t_values - critical_delta_t) * (size ** (1 / 2))\n",
+ "\n",
+ " # Ï_E(δt - δt_c) * N^(β/2) \n",
+ " scaled_largest = rho_E * (size ** (beta / 2))\n",
+ "\n",
+ " scaled_results[size] = {\n",
+ " \"scaled_delta_t\": scaled_delta_t,\n",
+ " \"scaled_largest_component\": scaled_largest,\n",
+ " }\n",
+ "\n",
+ " return scaled_results\n",
+ "\n",
+ " def plot_finite_size_scaling(self, scaled_results, use_log_scale=False):\n",
+ " \"\"\"\n",
+ " Plots finite-size scaling results to check for data collapse.\n",
+ "\n",
+ " Parameters:\n",
+ " - scaled_results: Dictionary containing scaled data for different sizes.\n",
+ " - use_log_scale: If True, applies a log-scale transformation to the x-axis.\n",
+ " \"\"\"\n",
+ " plt.figure(figsize=(10, 6))\n",
+ "\n",
+ " for size, data in scaled_results.items():\n",
+ " scaled_delta_t = np.array(data[\"scaled_delta_t\"])\n",
+ " scaled_largest_component = np.array(data[\"scaled_largest_component\"])\n",
+ " \n",
+ " if use_log_scale:\n",
+ " scaled_delta_t = np.sign(scaled_delta_t) * np.log1p(np.abs(scaled_delta_t))\n",
+ "\n",
+ " plt.plot(scaled_delta_t, scaled_largest_component, label=f\"Size {size}\", marker=\"o\", markersize=5, linestyle=\"-\")\n",
+ "\n",
+ " plt.axvline(0, color=\"r\", linestyle=\"--\", linewidth=2, label=r\"Critical $\\delta t_c$\")\n",
+ " plt.xlabel(r\"Scaled $\\delta t$ $\\left(N^{1/2} (\\delta t - \\delta t_c)\\right)$ (log-scale)\" if use_log_scale else \n",
+ " r\"Scaled $\\delta t$ $\\left(N^{1/2} (\\delta t - \\delta t_c)\\right)$\")\n",
+ " plt.ylabel(r\"Scaled Largest Component $\\left(N^{\\beta/2} \\rho_E(\\delta t - \\delta t_c)\\right)$\")\n",
+ " \n",
+ " plt.title(\"Finite Size Scaling Collapse (Log-Scale)\" if use_log_scale else \"Finite Size Scaling Collapse\")\n",
+ "\n",
+ " plt.legend(loc=\"best\", frameon=True)\n",
+ " plt.grid(True, linestyle=\"--\", alpha=0.6)\n",
+ " plt.show()\n",
+ "\n",
+ " def optimize_scaling_exponents(self, analysis_results, delta_t_values, sizes, critical_delta_t, beta_range, nu_range):\n",
+ " \"\"\"\n",
+ " power-law to optimize β and ν for the best scaling collapse by minimizing variance.\n",
+ " \"\"\"\n",
+ " best_beta, best_nu = None, None\n",
+ " best_score = float(\"inf\")\n",
+ "\n",
+ " for beta, nu in product(beta_range, nu_range):\n",
+ " scaled_results = self.finite_size_scaling(analysis_results, delta_t_values, sizes, critical_delta_t, beta, nu)\n",
+ " variances = [np.var(data[\"scaled_largest_component\"]) for data in scaled_results.values()]\n",
+ " score = np.mean(variances)\n",
+ " \n",
+ " if score < best_score:\n",
+ " best_score = score\n",
+ " best_beta, best_nu = beta, nu\n",
+ "\n",
+ " return best_beta, best_nu\n",
+ "\n",
+ " def plot_survivability(self, survivability):\n",
+ " delta_t_values = list(survivability.keys())\n",
+ " survivability_values = list(survivability.values())\n",
+ "\n",
+ " plt.figure(figsize=(10, 6))\n",
+ " plt.plot(delta_t_values, survivability_values, marker=\"o\", linestyle=\"-\", label=\"Survivability\")\n",
+ " plt.xlabel(\"δt (time threshold)\")\n",
+ " plt.ylabel(\"Survivability\")\n",
+ " plt.title(\"Survivability vs δt\")\n",
+ " plt.grid(True)\n",
+ " plt.legend()\n",
+ " plt.show()\n",
+ " \n",
+ " def plot_reachability(self, reachability):\n",
+ " delta_t_values = list(reachability.keys())\n",
+ " reachability_values = list(reachability.values())\n",
+ "\n",
+ " plt.figure(figsize=(10, 6))\n",
+ " plt.plot(delta_t_values, reachability_values, marker=\"o\", linestyle=\"-\", label=\"Reachability\")\n",
+ " plt.xlabel(\"δt (time threshold)\")\n",
+ " plt.ylabel(\"Reachability\")\n",
+ " plt.title(\"Reachability vs δt\")\n",
+ " plt.grid(True)\n",
+ " plt.legend()\n",
+ " plt.show()\n",
+ "\n",
+ " def phase_transition_analysis(self, results, delta_t_values):\n",
+ " \n",
+ " # largest component sizes\n",
+ " largest_component_sizes = [\n",
+ " result[\"largest_component_size\"] for result in results.values()\n",
+ " ]\n",
+ " largest_component_sizes = np.array(largest_component_sizes).astype(float)\n",
+ " \n",
+ " # Normalize\n",
+ " normalized_sizes = [size / self.total_events for size in largest_component_sizes]\n",
+ " print(normalized_sizes)\n",
+ "\n",
+ " # derivatives and critical delta_t\n",
+ " derivatives = np.gradient(normalized_sizes)\n",
+ " critical_delta_t = self.find_critical_threshold(results, delta_t_values)\n",
+ " \n",
+ " return {\n",
+ " \"normalized_sizes\": normalized_sizes,\n",
+ " \"derivatives\": derivatives,\n",
+ " \"critical_delta_t\": critical_delta_t\n",
+ " }\n",
+ "\n",
+ " def plot_phase_transition(self, delta_t_values, phase_transitions):\n",
+ " normalized_sizes = phase_transitions[\"normalized_sizes\"]\n",
+ " derivatives = phase_transitions[\"derivatives\"]\n",
+ " critical_delta_t = phase_transitions[\"critical_delta_t\"]\n",
+ "\n",
+ " plt.figure(figsize=(10, 6))\n",
+ " plt.plot(delta_t_values, normalized_sizes, label=\"Normalized Sizes\", marker=\"o\")\n",
+ " plt.plot(delta_t_values, derivatives, label=\"Derivatives\", linestyle=\"--\", marker=\"s\")\n",
+ " plt.axvline(x=critical_delta_t, color=\"r\", linestyle=\"--\", label=f\"Critical δt={critical_delta_t:.2f}\")\n",
+ " plt.xlabel(\"δt (time threshold)\")\n",
+ " plt.ylabel(\"Normalized Sizes / Derivatives\")\n",
+ " plt.title(\"Phase Transition Analysis\")\n",
+ " plt.legend()\n",
+ " plt.grid(True)\n",
+ " plt.show()\n",
+ "\n",
+ " def data_collapse_plot(self, scaled_results, beta=0.5):\n",
+ " \"\"\"\n",
+ " Perform a data collapse by rescaling delta_t and scaled largest components.\n",
+ " \"\"\"\n",
+ " plt.figure(figsize=(10, 6))\n",
+ " for size, data in scaled_results.items():\n",
+ " delta_t_values = np.array(data[\"delta_t_values\"])\n",
+ " scaled_components = np.array(data[\"scaled_largest_component\"])\n",
+ " \n",
+ " # Rescale delta_t and scaled largest components\n",
+ " scaled_delta_t = delta_t_values / (size ** beta)\n",
+ " scaled_largest_component = scaled_components / size\n",
+ " \n",
+ " plt.plot(scaled_delta_t, scaled_largest_component, label=f\"Size {size}\", marker=\"o\")\n",
+ "\n",
+ " plt.xlabel(\"Scaled Delta t (Delta t / Size^β)\")\n",
+ " plt.ylabel(\"Scaled Largest Component / Size\")\n",
+ " plt.title(f\"Data Collapse Using Scaling Relation (β = {beta})\")\n",
+ " plt.legend()\n",
+ " plt.grid(True)\n",
+ " plt.show()\n",
+ "\n",
+ " def plot_metrics(self, delta_t_values, percolation_metrics):\n",
+ "\n",
+ " # Filter out delta_t values with missing or None metrics\n",
+ " valid_delta_t = [\n",
+ " delta_t for delta_t in delta_t_values \n",
+ " if delta_t in percolation_metrics \n",
+ " and percolation_metrics[delta_t] is not None\n",
+ " and all(percolation_metrics[delta_t].get(k) is not None for k in [\"M\", \"V\", \"T\"])\n",
+ " ]\n",
+ " \n",
+ " # Extract metrics for valid delta_t values\n",
+ " M_values = [percolation_metrics[delta_t][\"M\"] for delta_t in valid_delta_t]\n",
+ " V_values = [percolation_metrics[delta_t][\"V\"] for delta_t in valid_delta_t]\n",
+ " T_values = [percolation_metrics[delta_t][\"T\"] for delta_t in valid_delta_t]\n",
+ "\n",
+ " # Plot Mean Cluster Mass (M)\n",
+ " plt.figure(figsize=(8, 6))\n",
+ " plt.plot(valid_delta_t, M_values, marker=\"o\", label=\"Mean Cluster Mass (M)\")\n",
+ " plt.xlabel(\"Delta t\")\n",
+ " plt.ylabel(\"M\")\n",
+ " plt.title(\"Mean Cluster Mass vs Delta t\")\n",
+ " plt.grid(True)\n",
+ " plt.legend()\n",
+ " plt.show()\n",
+ "\n",
+ " # Plot Mean Spatial Volume (V)\n",
+ " plt.figure(figsize=(8, 6))\n",
+ " plt.plot(valid_delta_t, V_values, marker=\"o\", label=\"Mean Spatial Volume (V)\", color=\"g\")\n",
+ " plt.xlabel(\"Delta t\")\n",
+ " plt.ylabel(\"V\")\n",
+ " plt.title(\"Mean Spatial Volume vs Delta t\")\n",
+ " plt.grid(True)\n",
+ " plt.legend()\n",
+ " plt.show()\n",
+ "\n",
+ " # Plot Mean Survival Time (T)\n",
+ " plt.figure(figsize=(8, 6))\n",
+ " plt.plot(valid_delta_t, T_values, marker=\"o\", label=\"Mean Survival Time (T)\", color=\"r\")\n",
+ " plt.xlabel(\"Delta t\")\n",
+ " plt.ylabel(\"T\")\n",
+ " plt.title(\"Mean Survival Time vs Delta t\")\n",
+ " plt.grid(True)\n",
+ " plt.legend()\n",
+ " plt.show()\n",
+ " \n",
+ " def compare_component_measures(self, results):\n",
+ " \"\"\"Compare S_E, S_G, and S_LT by plotting them across delta_t values.\"\"\"\n",
+ " df = pd.DataFrame.from_dict(results, orient='index')\n",
+ " df = df[['S_E', 'S_G', 'S_LT']]\n",
+ " df = (df - df.min()) / (df.max() - df.min()) # Normalize for fair comparison\n",
+ " \n",
+ " seconds_per_day = 24 * 3600\n",
+ " df.index = df.index.astype(float) / seconds_per_day\n",
+ "\n",
+ " plt.figure(figsize=(10, 6))\n",
+ " plt.plot(df.index, df['S_E'], marker='o', label='S_E (Event Graph Nodes)')\n",
+ " plt.plot(df.index , df['S_G'], marker='s', label='S_G (Underlying Graph Nodes)')\n",
+ " plt.plot(df.index, df['S_LT'], marker='^', label='S_LT (Component Lifetime)')\n",
+ " \n",
+ " plt.xlabel(\"δ_t (days)\")\n",
+ " plt.ylabel(\"Normalized Component Size\")\n",
+ " plt.title(\"Comparison of Different Component Size Measures\")\n",
+ " plt.legend()\n",
+ " plt.grid(True)\n",
+ " plt.show()\n",
+ " \n",
+ " # Compute correlation matrix\n",
+ " correlation_matrix = df.corr()\n",
+ " print(\"\\nCorrelation between measures:\")\n",
+ " print(correlation_matrix)\n",
+ "\n",
+ " def find_critical_threshold(self, analysis_results, delta_t_values):\n",
+ " \"\"\"\n",
+ " Identify the critical δt where the largest connected component (LCC) rapidly grows.\n",
+ " \"\"\"\n",
+ " \n",
+ " num_event_graph_nodes = np.array([result[\"S_E\"] for result in analysis_results.values()])\n",
+ "\n",
+ " if len(delta_t_values) < 2:\n",
+ " raise ValueError(\"Not enough data points to determine the critical threshold.\")\n",
+ "\n",
+ " # Compute susceptibility (correct rate of change with irregular δt spacing)\n",
+ " susceptibility = np.diff(num_event_graph_nodes) / np.diff(delta_t_values)\n",
+ "\n",
+ " # Associate each susceptibility value with the midpoint of δt intervals\n",
+ " midpoints = (delta_t_values[:-1] + delta_t_values[1:]) / 2\n",
+ "\n",
+ " # Find the δt corresponding to the largest change\n",
+ " critical_index = np.argmax(susceptibility)\n",
+ " critical_dt = midpoints[critical_index]\n",
+ "\n",
+ " return critical_dt\n",
+ "\n",
+ " def plot_largest_component(self, results, delta_t_values):\n",
+ " df = pd.DataFrame.from_dict(results, orient='index')\n",
+ " df = df[['S_E']]\n",
+ " num_event_graph_nodes = df[\"S_E\"]\n",
+ "\n",
+ " seconds_per_hour = 3600\n",
+ " delta_t_values = delta_t_values / seconds_per_hour\n",
+ " \n",
+ " critical_delta_t = self.find_critical_threshold(results, delta_t_values)\n",
+ " \n",
+ " plt.figure(figsize=(10, 6))\n",
+ " plt.plot(delta_t_values, num_event_graph_nodes, label=\"Number of Events\", marker=\"o\")\n",
+ " plt.axvline(x=critical_delta_t, color=\"r\", linestyle=\"--\", label=f\"Critical δt={critical_delta_t:.2f} hours\")\n",
+ " \n",
+ " plt.xlabel(\"δ_t (hours)\")\n",
+ " plt.ylabel(\"Event Graph Nodes\")\n",
+ " plt.title(\"Phase Transition Analysis\")\n",
+ " plt.legend()\n",
+ " plt.grid(True)\n",
+ " plt.xticks(rotation=45)\n",
+ " plt.ticklabel_format(style='plain') # Prevent scientific notation\n",
+ " plt.show()\n",
+ "\n",
+ " def compute_order_parameters(self, results, temporal_graph):\n",
+ " \"\"\"\n",
+ " Compute order parameters (ÏE, ÏG), susceptibilities (χE, χG), \n",
+ " and probability distributions P(S_E) and P(S_LT) using the component size dictionaries.\n",
+ " \"\"\"\n",
+ "\n",
+ " delta_t_values = np.array([float(dt) for dt in results.keys()])\n",
+ " \n",
+ " S_E_values = np.array([results[str(dt)][\"S_E\"] for dt in delta_t_values])\n",
+ " S_G_values = np.array([results[str(dt)][\"S_G\"] for dt in delta_t_values])\n",
+ " S_LT_values = np.array([results[str(dt)][\"S_LT\"] for dt in delta_t_values]) # Extract component lifetimes\n",
+ " N_values = np.array([results[str(dt)][\"total_components\"] for dt in delta_t_values])\n",
+ " total_n = temporal_graph.n # Total number of nodes\n",
+ "\n",
+ " # Order Parameters:\n",
+ " # - Ï_E: Fraction of event-graph nodes in the largest component\n",
+ " # - Ï_G: Fraction of temporal-network nodes in the largest component\n",
+ " rho_E = np.where(N_values > 0, S_E_values / total_n, 0) # Prevent divide-by-zero\n",
+ " rho_G = np.where(N_values > 0, S_G_values / N_values, 0)\n",
+ "\n",
+ " # Initialize susceptibility arrays\n",
+ " chi_E = np.zeros_like(delta_t_values, dtype=np.float64)\n",
+ " chi_G = np.zeros_like(delta_t_values, dtype=np.float64)\n",
+ "\n",
+ " # Initialize distributions for P(S_E) and P(S_LT)\n",
+ " P_S_E_distributions = {}\n",
+ " P_S_LT_distributions = {}\n",
+ "\n",
+ " for i, dt in enumerate(delta_t_values):\n",
+ " total_components = results[str(dt)][\"total_components\"]\n",
+ "\n",
+ " # --- χE Computation (Event-Based Susceptibility) ---\n",
+ " component_size_counts = results[str(dt)].get(\"component_sizes\", {})\n",
+ " if component_size_counts == 0:\n",
+ " component_size_counts = {} # Replace invalid value\n",
+ "\n",
+ " # --- χG Computation (Node-Based Susceptibility) ---\n",
+ " node_component_sizes = results[str(dt)].get(\"node_component_sizes\", {})\n",
+ "\n",
+ " # --- S_LT Computation (Lifetime-Based Susceptibility) ---\n",
+ " component_lifetime_counts = results[str(dt)].get(\"component_lifetimes\", {})\n",
+ "\n",
+ " if not component_size_counts and not node_component_sizes and not component_lifetime_counts:\n",
+ " continue # Skip if no valid components\n",
+ "\n",
+ " # χE Calculation\n",
+ " if component_size_counts:\n",
+ " component_size_counts = {int(k): v for k, v in component_size_counts.items()}\n",
+ "\n",
+ " component_sizes = np.array(list(component_size_counts.keys()))\n",
+ " counts = np.array(list(component_size_counts.values()))\n",
+ "\n",
+ " largest_component_size = component_sizes.max(initial=0)\n",
+ " if largest_component_size > 0:\n",
+ " mask = component_sizes < largest_component_size\n",
+ " s_squared_counts = (component_sizes[mask] ** 2) * counts[mask]\n",
+ " \n",
+ " # Compute susceptibility for χ_E (event-based)\n",
+ " chi_E[i] = s_squared_counts.sum() / total_n\n",
+ "\n",
+ " # Compute probability distribution P(S_E)\n",
+ " total_S_E_components = sum(component_size_counts.values())\n",
+ " P_S_E = {size: count / total_S_E_components for size, count in component_size_counts.items()}\n",
+ " P_S_E_distributions[dt] = P_S_E\n",
+ "\n",
+ " # χG Calculation\n",
+ " if node_component_sizes:\n",
+ " node_component_sizes = {int(k): v for k, v in node_component_sizes.items()}\n",
+ "\n",
+ " node_sizes = np.array(list(node_component_sizes.keys()))\n",
+ " node_counts = np.array(list(node_component_sizes.values()))\n",
+ "\n",
+ " largest_node_component = node_sizes.max(initial=0)\n",
+ " if largest_node_component > 0:\n",
+ " node_mask = node_sizes < largest_node_component\n",
+ " s_squared_counts_nodes = (node_sizes[node_mask] ** 2) * node_counts[node_mask]\n",
+ " \n",
+ " # Compute susceptibility for χ_G (node-based)\n",
+ " chi_G[i] = s_squared_counts_nodes.sum() / total_n\n",
+ "\n",
+ " # Compute probability distribution P(S_LT)\n",
+ " if component_lifetime_counts:\n",
+ " total_S_LT_components = sum(component_lifetime_counts.values())\n",
+ " P_S_LT = {size: (count/3600) / total_S_LT_components for size, count in component_lifetime_counts.items()}\n",
+ " P_S_LT_distributions[dt] = P_S_LT\n",
+ " \n",
+ " # Replace NaN values with zero\n",
+ " chi_E = np.nan_to_num(chi_E)\n",
+ " chi_G = np.nan_to_num(chi_G)\n",
+ "\n",
+ " return delta_t_values, rho_E, rho_G, chi_E, chi_G, P_S_E_distributions, P_S_LT_distributions\n",
+ "\n",
+ "\n",
+ " def plot_order_parameters(self, delta_t_values, rho_E, rho_G, chi_E, chi_G):\n",
+ " \"\"\"\n",
+ " Plot order parameters (ÏE, ÏG) and susceptibilities (χE, χG).\n",
+ " \"\"\"\n",
+ " plt.figure(figsize=(8,6))\n",
+ "\n",
+ " plt.plot(delta_t_values, rho_E, 'r-', label=r\"$\\rho_E$\")\n",
+ " plt.plot(delta_t_values, rho_G, 'r-', alpha=0.5, label=r\"$\\rho_G$\")\n",
+ "\n",
+ " # Avoid division by zero in normalization\n",
+ " if np.max(chi_E) > 0:\n",
+ " plt.plot(delta_t_values, chi_E / np.max(chi_E), 'b-', label=r\"$\\chi_E$\", linestyle='dashed')\n",
+ "\n",
+ " if np.max(chi_G) > 0:\n",
+ " plt.plot(delta_t_values, chi_G / np.max(chi_G), 'g-', alpha=0.5, linestyle='dashed', label=r\"$\\chi_G$\")\n",
+ "\n",
+ " plt.xlabel(r\"$\\delta t$ (time threshold)\")\n",
+ " plt.ylabel(\"Order Parameter / Susceptibility\")\n",
+ " plt.title(\"Order Parameters vs. δt\")\n",
+ " plt.legend()\n",
+ " plt.grid(True)\n",
+ " plt.show()\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 401,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# To get more prcise critical delta_t\n",
+ "def compute_susceptibility(results):\n",
+ "\n",
+ " largest_component_sizes = np.array([float(results[dt][\"largest_component_size\"]) for dt in results.keys()])\n",
+ " delta_t_values = np.array([float(dt) for dt in results.keys()])\n",
+ "\n",
+ " if len(delta_t_values) < 2:\n",
+ " raise ValueError(\"Not enough data points to compute susceptibility.\")\n",
+ "\n",
+ " # rate of change \n",
+ " susceptibility = np.diff(largest_component_sizes) / np.diff(delta_t_values)\n",
+ "\n",
+ " # each susceptibility value with the midpoint of δt intervals\n",
+ " midpoints = (delta_t_values[:-1] + delta_t_values[1:]) / 2\n",
+ "\n",
+ " # the δt corresponding to the largest change (peak susceptibility)\n",
+ " critical_index = np.argmax(susceptibility)\n",
+ " critical_dt = midpoints[critical_index]\n",
+ "\n",
+ " return critical_dt, susceptibility, midpoints\n",
+ "\n",
+ "def plot_susceptibility(results):\n",
+ " \n",
+ " critical_dt, susceptibility, midpoints = compute_susceptibility(results)\n",
+ "\n",
+ " # Plot susceptibility vs. δt\n",
+ " plt.figure(figsize=(10, 5))\n",
+ " plt.plot(midpoints, susceptibility, marker=\"s\", linestyle=\"--\", label=\"Corrected Susceptibility\", color=\"orange\")\n",
+ " plt.axvline(x=critical_dt, color=\"r\", linestyle=\"--\", label=f\"Corrected Critical δt={critical_dt:.2f}\")\n",
+ " plt.xlabel(\"δt (time threshold)\")\n",
+ " plt.ylabel(\"Susceptibility (Δ LCC / Δδt)\")\n",
+ " plt.title(\"Corrected Susceptibility for Percolation Transition\")\n",
+ " plt.legend()\n",
+ " plt.grid(True)\n",
+ " plt.show()\n",
+ "\n",
+ " print(f\"Corrected Critical δt: {critical_dt:.2f}\")\n",
+ "\n",
+ " return critical_dt"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 406,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
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+ "1899 1097 1098776836.0\n",
+ "1899 277 1098777003.0\n",
+ "1878 1624 1098777111.0\n",
+ "1878 1624 1098777142.0\n",
+ "=== DATASET PREVIEW ===\n",
+ " u i ts idx\n",
+ "0 3 4 1.082156e+09 0\n",
+ "1 5 2 1.082414e+09 1\n",
+ "2 6 7 1.082440e+09 2\n",
+ "3 8 7 1.082440e+09 3\n",
+ "4 9 10 1.082440e+09 4\n",
+ "Normalized Timestamp Range (hours): 0.0 - 4617.028611111111\n",
+ "Normalized Timestamp Range: 0.0 - 4617.028611111111\n",
+ "Number of nodes: 1899\n",
+ "Number of edges: 59834\n",
+ "Min Timestamp: 0.0\n",
+ "Max Timestamp: 4617.028611111111\n",
+ "Generated δt values: [ 0. 94.2250737 188.45014739 282.67522109 376.90029478\n",
+ " 471.12536848 565.35044218 659.57551587 753.80058957 848.02566327\n",
+ " 942.25073696 1036.47581066 1130.70088435 1224.92595805 1319.15103175\n",
+ " 1413.37610544 1507.60117914 1601.82625283 1696.05132653 1790.27640023\n",
+ " 1884.50147392 1978.72654762 2072.95162132 2167.17669501 2261.40176871\n",
+ " 2355.6268424 2449.8519161 2544.0769898 2638.30206349 2732.52713719\n",
+ " 2826.75221088 2920.97728458 3015.20235828 3109.42743197 3203.65250567\n",
+ " 3297.87757937 3392.10265306 3486.32772676 3580.55280045 3674.77787415\n",
+ " 3769.00294785 3863.22802154 3957.45309524 4051.67816893 4145.90324263\n",
+ " 4240.12831633 4334.35339002 4428.57846372 4522.80353741 4617.02861111]\n"
+ ]
+ }
+ ],
+ "source": [
+ "import json\n",
+ "\n",
+ "file_path = r\"C:\\Users\\userpc\\Desktop\\first-semester-JMU\\lab-socialnet\\lab-social-network\\CollegeMsg.txt\"\n",
+ "bipartite = True\n",
+ "\n",
+ "df = preprocess(file_path)\n",
+ "print(\"=== DATASET PREVIEW ===\")\n",
+ "print(df.head()) \n",
+ "\n",
+ "df['normalized_ts'] = (df['ts'] - df['ts'].min()) / 3600\n",
+ "\n",
+ "# Debug: Ensure timestamps are correctly normalized\n",
+ "print(\"Normalized Timestamp Range (hours):\", df['normalized_ts'].min(), \"-\", df['normalized_ts'].max())\n",
+ "\n",
+ "\n",
+ "# Debug: Ensure timestamps are correctly normalized\n",
+ "print(\"Normalized Timestamp Range:\", df['normalized_ts'].min(), \"-\", df['normalized_ts'].max())\n",
+ "\n",
+ "# Convert to temporal edge list\n",
+ "tedges = list(df[['u', 'i', 'normalized_ts']].itertuples(index=False, name=None))\n",
+ "\n",
+ "# === TEMPORAL GRAPH CREATION ===\n",
+ "temporal_graph = pp.TemporalGraph.from_edge_list(tedges)\n",
+ "total_events = len(tedges)\n",
+ "bipartite_percolation = BipartiteTemporalPercolation(temporal_graph, total_events)\n",
+ "\n",
+ "print(\"Number of nodes:\", temporal_graph.n)\n",
+ "print(\"Number of edges:\", len(tedges))\n",
+ "\n",
+ "\n",
+ "print(\"Min Timestamp:\", df['normalized_ts'].min())\n",
+ "print(\"Max Timestamp:\", df['normalized_ts'].max())\n",
+ "\n",
+ "# Generate δt values using linear spacing\n",
+ "delta_t_values = np.linspace(df['normalized_ts'].min(), df['normalized_ts'].max(), 50)\n",
+ "print(\"Generated δt values:\", delta_t_values)\n",
+ "\n",
+ "\n",
+ "# analysis_results, reachability, percolation_metrics = bipartite_percolation.percolation_analysis(delta_t_values)\n",
+ "\n",
+ "\n",
+ "# with open(\"UCIcollegeMsg_results/analysis_results.json\", \"w\") as file:\n",
+ "# json.dump(analysis_results, file, indent=4)\n",
+ "# with open(\"UCIcollegeMsg_results/percolation_metrics.json\", \"w\") as file:\n",
+ "# json.dump(percolation_metrics, file, indent=4)\n",
+ "\n",
+ "\n",
+ "with open(\"UCIcollegeMsg_results/analysis_results_seconds.json\", \"r\") as file:\n",
+ " analysis_results = json.load(file)\n",
+ "with open(\"UCIcollegeMsg_results/percolation_metrics.json\", \"r\") as file:\n",
+ " percolation_metrics = json.load(file)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 407,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1000x600 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "Correlation between measures:\n",
+ " S_E S_G S_LT\n",
+ "S_E 1.000000 0.993861 0.840944\n",
+ "S_G 0.993861 1.000000 0.776047\n",
+ "S_LT 0.840944 0.776047 1.000000\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1000x600 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Ensure delta_t_values and analysis_results have the same length\n",
+ "delta_t_values = np.array([float(k) for k in analysis_results.keys()])\n",
+ "\n",
+ "bipartite_percolation.compare_component_measures(analysis_results)\n",
+ "bipartite_percolation.plot_largest_component(analysis_results, delta_t_values)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 351,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "refined_delta_t_values = np.linspace(0.0, 134585.44939271256, num=20) \n",
+ "\n",
+ "# analysis_results2, reachability2, percolation_metrics2 = bipartite_percolation.percolation_analysis(refined_delta_t_values)\n",
+ "# print(\"Analysis Results 2:\", analysis_results2) \n",
+ "\n",
+ "# with open(\"UCIcollegeMsg_results/analysis_results2.json\", \"w\") as file:\n",
+ "# json.dump(analysis_results2, file, indent=4)\n",
+ "# with open(\"UCIcollegeMsg_results/percolation_metrics2.json\", \"w\") as file:\n",
+ "# json.dump(percolation_metrics2, file, indent=4)\n",
+ "\n",
+ "with open(\"UCIcollegeMsg_results/analysis_results2.json\", \"r\") as file:\n",
+ " analysis_results2 = json.load(file)\n",
+ "with open(\"UCIcollegeMsg_results/percolation_metrics2.json\", \"r\") as file:\n",
+ " percolation_metrics2 = json.load(file)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 352,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1000x600 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "Correlation between measures:\n",
+ " S_E S_G S_LT\n",
+ "S_E 1.000000 0.968687 0.995098\n",
+ "S_G 0.968687 1.000000 0.947394\n",
+ "S_LT 0.995098 0.947394 1.000000\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1000x600 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "bipartite_percolation.compare_component_measures(analysis_results2)\n",
+ "bipartite_percolation.plot_largest_component(analysis_results2, refined_delta_t_values)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 398,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\userpc\\AppData\\Local\\Temp\\ipykernel_19476\\290818805.py:492: RuntimeWarning: invalid value encountered in divide\n",
+ " rho_G = np.where(N_values > 0, S_G_values / N_values, 0)\n"
+ ]
+ }
+ ],
+ "source": [
+ "delta_t_values, rho_E, rho_G, chi_E, chi_G, P_S_E_distributions, P_S_LT_distributions = bipartite_percolation.compute_order_parameters(analysis_results, temporal_graph)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 399,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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79u3DqVOnjG1r166FSqXC0KFDjfMAgM2bN6OgoKBa58CWxMREq/m3bNkSY8eOxapVq6y+MSNyJ0wtoHIZAlRDQFue8gLe2NhYi9eGvK+WLVtatIeFhaF+/foWbSdOnMChQ4fKDU7LXixT9liV6dq1K1555RUoFAr4+/ujbdu2Fl9dX7t2DfPmzcMXX3xhdSxbOWi2jl/dfcTExFi81mg0UKvVVhc+aTQaizzbEydO4K+//qryuSrr8uXLyM7OxooVK7BixYoq7aOq5zsvLw+XL1+2+p0DQKtWrbBu3Tqr9p49e97QxV6//fYbEhMTkZycbPWPu1artfi6tey5BoD69etbBIinT59G165drfq1bt26ymNKSEhAQkICCgoKsG/fPqxduxbvvfceBg0ahL///tsiV7YyKpUKCxYswFNPPYXw8HB069YNgwYNwtixYxEREQEAxuDH/Gvzsk6cOAFA/jFSHq1Wa/HfZNnfX/PmzeHl5VWjMkwtWrSwSq9p1aoVAJkfbJiTvY0dOxZr167Fr7/+ip49e2Lr1q3IzMzEmDFjqvT+kSNHIjExEc899xx++uknzJ4925iSZK5ly5bo27dvtcc3fPhwzJw5E2vXrsVzzz0HIQTWr1+PAQMGICgoCID872/mzJlYvHgxVq9ejR49emDIkCHGHPvqyMrKwtGjRzFixAirbW3btkVRURHS0tKq9bknciYGslQujUaDRo0a4dChQxX2O3ToECIjI43/kzWo6oqdLXq9HnfddRdmz55tc7vhH7wbPVaDBg0q/EdmxIgR2LVrF2bNmoWOHTuiXr160Ov16N+/v82LfWwdv7r7sHVld3lXextWkwB5ruLj47F48WKbfaOjo8udp+H9APDQQw+VG9y0b9/e4nVVz7etfFdHOHXqFO688060adMGixcvRnR0NHx9fbFx40YsWbLE6nxX5bzak7+/P3r06IEePXqgQYMGmDdvHn744QeMGzfOKpgz0Ol0Vm3Tp0/H4MGDsWHDBmzevBkvvvgi5s+fj59++qnKZZ0M52LRokXo2LGjzT62yp+ZK2/MniAhIQHh4eH47LPP0LNnT3z22WeIiIioctDZunVrdOjQAUuWLIG/v7+xjJ+9NG7cGD169MC6devw3HPPYffu3Thz5ozx2yKDN954A+PHj8c333yDH3/8Ef/617+MOczVyck2XLRnfmGogeEzyBVZcmcMZKlCgwYNwgcffICdO3car8Y39+uvvyI9PR2TJ0+udF9NmjQBIFeEzEt1Xb582eqr0ubNmyMvL++GVjRqKisrC9u2bcO8efMwd+5cY7thJctZ+6iq5s2b488//8Sdd95ZaYBha3tYWBgCAwOh0+nsfr4NQZOteR8/ftxutSi//fZbFBcX43//+5/FamtlaRUVadKkic1xHzt27Ib3CQC33norAODixYsAYFz5LFu839aV64D8fT/11FN46qmncOLECXTs2BFvvPEGPvvsM+MFVkeOHEGLFi3KfT8gv8qv6u/7xIkTFqvwJ0+ehF6vt/j9VTe4PXnyJIQQFu87fvw4ANT4c1HRWJRKJUaPHo1Vq1ZhwYIF2LBhAx599NFqlQi7//778eeff2Ly5MnVWlWvqpEjR+Kxxx7DsWPHsHbtWvj7+2Pw4MFW/eLj4xEfH48XXngBu3btwm233Yb33nvPqrJCRcLCwqBWq/H3339bbfvrr78AwJgW5Ml/wFDtxRxZqtCsWbPg5+eHyZMnW5WNunbtGqZMmQJ/f3+rK2xt6du3L3x8fPDWW29ZrHyVrUAAyNXM5ORkbN682WpbdnY2SktLqz+ZKjL8g1Z2dc7WOB25j6oaMWIEzp8/jw8++MBqW2FhIfLz842vAwICrAImpVKJYcOG4b///a9VyR1A/qFRUxs2bMD58+eNr/fu3Ys9e/ZgwIABNd43YPt8a7XaKuXWlmfgwIHYvXs39u7da2y7fPkyVq9eXaX3b9u2zWa7Ia/U8FVtkyZNoFQqrfK+3333XYvXBQUFFiWvABmUBgYGGlfT+vXrh8DAQMyfP9+qr+HcdOrUCc2bN8frr7+OvLw8q/HZ+n2/8847Fq/feustALD4/dn6bFXkwoULFnfTy8nJwSeffIKOHTvWOK3AkOtZ3njGjBmDrKwsTJ48GXl5edWu9/r7778DkLViHWHYsGFQKpVYs2YN1q9fj0GDBlnkr+bk5Fj9PzA+Ph5eXl4WK6tnzpyxGaCa8/b2xl133YVvv/0WJ0+eNLZfuHABa9asQdeuXY1VYCo7r0SuwBVZqlDLli3x8ccf48EHH0R8fLzVnb2uXLmCNWvWVFpqB5B/+T/99NOYP38+Bg0ahIEDB+LAgQP44YcfrHIiZ82ahf/9738YNGiQsSxSfn4+Dh8+jC+//BLp6ekOK5ofFBSEnj17YuHChbh+/ToiIyPx448/GmvMOmsfVTVmzBisW7cOU6ZMwfbt23HbbbdBp9Ph77//xrp167B582bjKmCnTp2wdetWLF68GI0bN0ZsbCy6du2K1157Ddu3b0fXrl3x6KOPIi4uDteuXcP+/fuxdevWGqcItGjRArfffjumTp2K4uJiLF26FKGhoTZTR7788kubX23fddddVqW6DPr16wdfX18MHjzYGJx88MEHaNiwoXHls7pmz56NTz/9FP3798eTTz5pLL/VpEmTStNtAGDo0KGIjY3F4MGD0bx5c+Tn52Pr1q349ttv0blzZ+MKm0ajwfDhw/HWW29BoVCgefPm+O6776zyko8fP44777wTI0aMQFxcHLy9vfH1118jMzMTo0aNAiA/d0uWLMEjjzyCzp07G2sb//nnnygoKMDHH38MLy8v/Oc//8GAAQPQrl07TJgwAZGRkTh//jy2b9+OoKAgfPvttxbHTktLw5AhQ9C/f38kJyfjs88+w+jRoy1qspb32SpPq1atMHHiRPz+++8IDw/HRx99hMzMzBr98WE+FgB4/vnnMWrUKPj4+GDw4MHGQOzmm2/GTTfdZLxQsjoB6Z9//mk8P19++WW5QfD+/fvx2WefWbU3b94c3bt3r/AYDRs2RJ8+fbB48WLk5uZi5MiRFtt/+uknPP744xg+fDhatWqF0tJSfPrpp8Y/Sg3Gjh2LX375pdKUmX//+9/Ytm0bevbsiWnTpsHb2xvvvfceSkpK8Prrrxv7dezYEUqlEgsWLIBWq4VKpTLWbiZyGVeUSiDPc+jQIfHAAw+IRo0aCR8fHxERESEeeOABcfjwYau+hpI9ly9fttqm0+nEvHnzRKNGjYSfn5/o3bu3OHLkiGjSpIlV6Z7c3FwxZ84c0aJFC+Hr6ysaNGgg/u///k+8/vrroqSkRAhhKnVTUUmispo0aSLuvvvuCvucO3dO3HvvvSI4OFhoNBoxfPhwceHCBasyPxXNtab7GDdunAgICLDab69evUS7du0s2kpKSsSCBQtEu3bthEqlEvXr1xedOnUS8+bNE1qt1tjv77//Fj179hR+fn5WJc8yMzPFtGnTRHR0tPF3fOedd4oVK1YY+xjKIVW17I/57+eNN94Q0dHRQqVSiR49eliUbjI/D+U9Kiv587///U+0b99eqNVq0bRpU7FgwQLx0Ucf2Sz9ZOv336tXL9GrVy+LtkOHDolevXoJtVotIiMjxcsvv2wsq1VZ+a01a9aIUaNGiebNmws/Pz+hVqtFXFyceP75542l6gwuX74shg0bJvz9/UX9+vXF5MmTxZEjRyzKb125ckVMmzZNtGnTRgQEBAiNRiO6du0q1q1bZ/Nc/N///Z/w8/MTQUFBokuXLmLNmjUWfQ4cOCDuu+8+ERoaKlQqlWjSpIkYMWKE2LZtm7GP4XeSkpIi7r//fhEYGCjq168vHn/8cavyXuV9tsorv3X33XeLzZs3i/bt2wuVSiXatGlj9bm60fJbQsgSfpGRkcLLy8vm72vhwoUCgHj11Vetzl9Fhg0bJnx8fMSTTz4pVCqVxX9fQlRefstWiTJbPvjgAwFABAYGWp3r1NRU8fDDD4vmzZsLtVotQkJCRJ8+fcTWrVst+vXq1UtU9Z/5ffv2iYSEBBEQECD8/f1Fr169LErUmY+rWbNmQqlUshQXuQWFEA66uoGI6rz09HTExsZi0aJFePrpp109HKqmpKQkzJs3D5cvX64Vtw02t2zZMsyYMQPp6ek2q1jYcvToUcTHx2PChAl46aWXEBMTg48++qjCChBE5FjMkSUiojpFCIEPP/wQvXr1qnIQCwCvvPIKlEolnnvuOURGRuL222/Hp59+6sCRElFlGMgSEVGdkJ+fjzVr1mDy5Mk4fPgwZsyYUeX3Hjt2DOvWrcPo0aON1wSMGzcO27Ztw8SJE/HDDz84athEVAFe7EVERHXC5cuXMXr0aAQHB+O5557DkCFDqvzeV199FQqFAs8//7yxbezYsTh06BA+++wzpKam2q0KBxFVHXNkiYiIiMgjMbWAiIiIiDwSA1kiIiIi8kh1Lke2tLQUBw4cQHh4OLy8GMcTERGR4+j1emRmZuLmm2+Gt3edC7scrs6d0QMHDqBLly6uHgYRERHVIXv37kXnzp1dPYxap84FsoZbXO7duxeNGjVy8WiIiIioNrt48SK6dOlS7i22qWbqXCBrSCdo1KgRoqKiXDwaIiIiqguYzugYPKtERERE5JEYyBIRERGRR2IgS0REREQeiYEsEREREXkkBrJERERE5JEYyBIRERG5iaQkQKGwfLRpY9peVARMmwaEhgL16gHDhgGZmZb7OHMGuPtuwN8faNgQmDULKC217PPzz8AttwAqFdCiBbBqlfVY3nkHaNoUUKuBrl2BvXvtO1d7YCBLRERE5EbatQMuXjQ9du40bZsxA/j2W2D9euCXX4ALF4D77jNt1+lkEFtSAuzaBXz8sQxS58419UlLk3369AEOHgSmTwceeQTYvNnUZ+1aYOZMIDER2L8f6NABSEgALl1y8OSrSSGEEK4ehDOdO3cO0dHROHv2LOvIEhERkUNVN+5ISgI2bJABZllaLRAWBnz+OXD//bLt77+Btm2B5GSgWzfghx+AQYNkgGu4B8N77wHPPANcvgz4+srn338PHDli2veoUUB2NrBpk3zdtSvQuTPw9tvytV4PREcDTzwBPPvsDZ4MB6hzN0Qw0Ol00Ol0AACFQgEvLy/o9XqYx/WGdkO/ytq9vLygUChstgPyfstVaVcqlRBC2GwvO8by2jknzolz4pw4J86Jc3L9nAxyc3ORk5NjfK1SqaBSqWDLiRNA48byK/3u3YH584GYGGDfPuD6daBvX1PfNm3kNkMgm5wMxMebglhArqROnQocPQrcfLPsY74PQ5/p0+XzkhJ5rDlzzM+ffE9yss0hu0ydDWRTU1ORlZUFAAgJCUFMTAzOnTuHa9euGftEREQgIiIC6enpyM3NNbZHR0cjNDQUJ06cQFFRkbG9WbNmCAoKQkpKisV/WK1bt4avry8OHz5sMYb4+HiUlJTg2LFjxjalUon4+Hjk5uYiNTXV2K5Wq9GmTRtkZWXh7NmzxvbAwEA0b94cly5dQkZGhrGdc+KcOCfOiXPinDgn18/JIC4uzmI8iYmJSEpKQlldu8pUgNatZVrBvHlAjx5y9TQjQ66oBgdbvic8XG4D5M+yd8M1vK6sT04OUFgIZGXJFAVbff7+22rILlVnUwvS09ONS/x17a9Dzolz4pw4J86Jc+KcnDOnCxcuIDo6GikpKYiMjDRuq2hF1lx2NtCkCbB4MeDnB0yYABQXW/bp0kXmuy5YAEyaBJw+bZnvWlAABAQAGzcCAwYArVrJ/ZivuG7cKPNmCwpkIBsZKXNsu3c39Zk9W+bl7tlT6bCdps6uyCqVSiiVSou28u6DXLafM9oVCoXN9vLGWN12zolzKq+dc+Kc7DXG6rZzTpyTvcZY3XZHzwmQq7lBQUHlbi9PcLAMPE+eBO66S37tn51tuSqbmQkYFn8jIqyrCxiqGpj3KVvpIDMTCAqSwbJSKR+2+pgtMrsFVi0gIiIiclN5ecCpU0CjRkCnToCPD7Btm2n7sWOy3JZh5bR7d+DwYcvqAlu2yCDVkN3QvbvlPgx9DPvw9ZXHMu+j18vX5iu07oCBLBEREZGbePpp+fV9err8av/ee+Xq6AMPABoNMHGiLIu1fbu8IGvCBBlcdusm39+vnwxYx4wB/vxTphi88IKsPWvIZJgyBUhNlakCf/8NvPsusG6dLO1lMHMm8MEHsnzXX3/Ji8Xy8+Xx3EmdTS0gIiIicjfnzsmg9epVWWrr9tuB3bvlcwBYskRWEBg2TObKJiTIQNRAqQS++04Gnt27y9zYceOAl14y9YmNleW3ZswAli0DoqKA//xH7stg5EhZrmvuXHlxWMeOsjRX2QvAXK3OXuzFOrJERETkaIw7HIsrsrVEaqq8lVy3bsDw4a4eTRUJIe+ZZ3hcv275WqeTD73e9Lxsm14vH0JYP8q2G16bv8fWz6o+DHMwn09N28o+t7XN/GGrzXxbVfZX3bFWpLr7szWPsnO60eNWZwz2+FnVMdbk/DqSrTE4Y1zV+W/D3dl7rJ4099rg7bfdb7mRKsVAthb43/+AsWPlHT98fGQJjgYN7LBjIeT3FgUF1o/8fMvXeXmyAF1ODpCba3petq2w0DJQJSIicgcLFrh6BHQDGMh6sNJS4PnngYULTW3XrwPnz1cQyOblyf9YT52SAWhhoe1A1bCNKwJERETkphjIeqiLF+V9kXfssN6Wl1fBG+fPB1591WHjssnHR15qaShQ5+MDeHubHrZeG4rYGR5eXrZfe3nJh0Jh+Sivzbx/eT/N91vew7BPwPTT/HlN2so+t7XN/GGrzXxbVfZX3bFWpLr7szWPsnO60eNWdQwVtVU23rLvqckYXa2qnxlnHNcdz09V2HusnjR3T+duBVKpShjIeqCff5ZBrKFQsbc3cNNNwMGD8rXZnf2sffWV7XalUl7a6O8vg03DT0NbZY+AAFOwGhQEBAaanlfhziVERERE1cVA1oPo9TKN4PnnTdcaRUXJ2m87d5oC2XJXZFNTTTdJ7tYN+PprU9Dq4+Po4RMRERHZlXvdEGH5cqB9e9NKXvfuwA8/mLYXFcmKvqGhQL16soha2fun1VLXrgFDh8r7IhuC2LvuAvbvl6cpMNDUt9xAduNG0/MhQ+TXKBoNg1giIiLySO4VyEZFAa+9Jm9V8ccfwB13yOjt6FG5fcYM4NtvgfXr5W0vLlwA7rvPtWN2gj/+kLeK++47+VqhABITZYxvKJBcr56pf7mB7Pffm57ffbdDxkpERETkLO6VWjB4sOXrf/9brtLu3i2D3A8/BD7/XAa4ALByJdC2rdxuuDdbLfPjj/K0lJTI16Gh8hT062fZzzyQtZkjW1Ag72cHyHMZH++Q8RIRERE5i3sFsuZ0Ornymp8vvzvft0/Wlurb19SnTRsgJgZITi43kC0uLkZxcbHxdW6FV0K5nzlzTEFst24yHzY62rpfpSuyP/0ka8ICwMCBvBKWiIiIPJ57pRYAwOHDMipTqYApU+QFSXFx8ka/vr5AcLBl//Bwua0c8+fPh0ajMT7i4uIcO347OnlS5sACQIcOMpvCVhALVCFH1jw/duBAu42RiIiIyFXcL5Bt3Vpefr9nDzB1KjBuHJCScsO7mzNnDrRarfGRUoN9Odv69abnDz4o4/jyVLgiK4QpP9bXF7jzTruNkYiIiMhV3C+1wNcXaNFCPu/UCfj9d2DZMmDkSPkde3a25apsZmaFRYxVKhVUZnVMc3JyHDNuB1i3zvR8+PCK+1aYI3v0KHDmjHzeu7dlZyIiIiIP5X4rsmXp9TK3s1MnWSZq2zbTtmPHZIDWvbvrxucgx4+b6sJ26QI0bVpx/wpTC5hWQERERLWQe63IzpkDDBggL+DKzZWX5//8M7B5s6x3OnEiMHMmEBIi68w+8YQMYmthxQLz1diRIyvvX2FqActuERERUS3kXoHspUvA2LHAxYsycG3fXgaxd90lty9ZIu9zP2yYXKVNSADefde1Y3YQ80D2/vsr7+/rKxesr18vE8hmZwO//Saft2xpStsgIiIi8nDuFch++GHF29Vq4J135KMW++svWbwBkAvOMTFVe1+9ekBWVpkc2R9/lKXMAK7GEhERUa3i/jmydZD5auyIEVV/nyFP1mJFlvmxREREVEsxkHVD1alWYM6QJ2sMZPV6eR9bAAgIAHr2tMv4iIiIiNwBA1k3c+SIqWzu7bcDkZFVf695IKvXA/jjD5l3DMg8Y7MyZERERESejoGsm7nRtALAsnJBQQGYVkBERES1GgNZNyKEKZBVKKpWrcCcVS1Z87JbDGSJiIiolmEg60YOHZL3eABkOmujRtV7v0Ut2fQrMrUAADp0qF6OAhEREZEHYCDrRmqSVgCUuU3t5l2mFyy7RURERLUQA1k3YZ5WYLjnQ3VZpBb8/IfpBdMKiIiIqBZiIOsmDhwATp6Uz3v3BsLDq78Pi9SCPUflk5CQWnkLXyIiIiIGsm6ipmkFQJlAtvCfX23//oBSeeMDIyIiInJTDGTdgHlagVIJ3Hffje3HIkcW/+QZMK2AiIiIaikGsm7gjz+AtDT5/I47gLCwG9uPRY4s6skaXv3713yARERERG6IgawbsEdaAVAmtQD1ZG5saOiN75CIiIjIjTGQdTHztAJvb+Dee298X1aBLMtuERERUS3m7eoB1HV79gBnzsjnffvWbAHVKkd24O01GxwRERGRG+OKrIvZK60AAAJ9iozP8/waAh071myHRERERG6MgawL6fXA+vXyuY8PcM89NdtfvcPJxud5Ec3lxV5ERETksV57Tf5zPn26qa2oCJg2TX6LW6+evIlSZqbl+86ckRmG/v5Aw4bArFlAaalln59/Bm65BVCpgBYtgFWrrI//zjtA06aAWg107Qrs3Wvf+dUUA1kXSk4Gzp2Tz/v1A+rXr9n+6u3YaHyeq4mu2c6IiIjIpX7/HXj/faB9e8v2GTOAb7+Vi2G//AJcuGBZulOnk0FsSQmwaxfw8ccySJ0719QnLU326dMHOHhQBsqPPAJs3mzqs3YtMHMmkJgI7N8PdOgAJCQAly45cNLVxEDWheyZVgAhUG/rBuPLPDWrFRAREXmqvDzgwQeBDz6wXOjSaoEPPwQWL5YlOzt1AlaulAHr7t2yz48/AikpwGefySzDAQOAl1+Wq6slJbLPe+8BsbHAG28AbdsCjz8O3H8/sGSJ6ViLFwOPPgpMmADExcn3+PsDH33ktNNQqTp7sZdOp4NOpwMAKBQKeHl5Qa/XQwhh7GNoN/SrrN3LywsKhcJmOwDo9Xpjm0wr8AKggK+vwKBBehjeplQqIYSw6G9oLztGY/tff8HrwmmoUIRiqJFXqDQe01lzqqj9huZUztg5J86Jc+KcOCfOyVPmZJCbm4ucnBzja5VKBZVKhfJMmyZXTPv2BV55xdS+bx9w/bpsN2jTBoiJkd/0dusmf8bHW97uPiEBmDoVOHoUuPlm2cd8H4Y+hhSGkhJ5rDlzTNu9vOR7kpPhNupsIJuamoqsrCwAQEhICGJiYnDu3Dlcu3bN2CciIgIRERFIT09Hbm6usT06OhqhoaE4ceIEiopMF1g1a9YMQUFBSElJsfgPq3Xr1vD19cXhw4eNbfv2BeDixZYAgO7dc3DmjLwjglKpRHx8PHJzc5Gamio7FxdDXViINkVFyLp8GWd1OqCgACgoQODZs2j+/fe41KgRMh55BH4rS1FcBGRnlwLwceqcACA+Ph4lJSU4duyYsc3mnACo1Wq0adMGWVlZOHv2rLE9MDAQzZs3x6VLl5CRkWFsd8XviXPinDgnzolz4pxqMieDuLg4i/EkJiYiKSkJtnzxhfwq//ffrbdlZAC+vkBwsGV7eLjcZuhjHsQathu2VdQnJwcoLASysmSKgq0+f/9tc9guoRBl/9So5c6dO4fo6Gikp6cjKioKgGv+OvzXvxR4913Z/skneowebTquUqmEuHwZ+i+/lJ/m5GRACChLS6H38oJQKk07L9Pe/PpxnEZTNGwokJmpqDN/8XJOnBPnxDlxTpyTO87pwoULiI6ORkpKCiIjI43byluRPXsWuPVWYMsWU25s794yRWDpUuDzz+VX/cXFlu/r0kXmuy5YAEyaBJw+bZnvWlAABAQAGzfKVINWreR+zFdcN26Uq8AFBTKQjYyUKQvdu5v6zJ4t83L37LEaukvU2RVZpVIJpXlACNOH3FZfe7fv329qHzrUC0olgPx84H//A1avhmLzZijLXl4IwEuvl3kJ5oKD4RURATRqhMDjQcB5IC9P4fQ5VdauUChstpc3xuq2c06cU3ntnBPnZK8xVredc+KcDAIDAxEUFFTudoN9++TFVLfcYmrT6YAdO4C335bBaUkJkJ1tuSqbmQkYFoAjIqyrCxiqGpj3KVvpIDMTCAoC/PwApVI+bPUxW2h2Ofe62Gv+fKBzZyAwUNaKuOcewOwrAADyzxKFwvIxZYorRlsjWq38Wa+eQNBvPwAPPSTX60ePBr7/3rJGRrt2Mtv6xReBd98FvvpK/omUlmb6s+mvv4CffkK96BAAsrnMH6lERETk5u68Ezh8WFYSMDxuvVVe+GV47uMDbNtmes+xY7LclmHltHt3uQ/z6gJbtsgg1ZDh0L275T4MfQz78PWVF5KZ99Hr5WvzFVpXc68V2V9+kdnNnTvLQO6552RdqpQUuR5u8OijwEsvmV77+zt/rDWkzdIBUEJTcBEYONC6Q1SUDGoffFBmbFexJqz53b0KCuTfBEREROQZAgOBm26ybAsIkDVjDe0TJ8qyWCEhMjh94gkZXHbrJrf36ycD1jFjgIULZT7sCy/IEMuQzTBlilzhnT0bePhh4KefZDWl7783HXfmTGDcOBk8d+kiUxvy82VKgrtwr0B20ybL16tWyZXZffuAnj1N7f7+7rWufQO0V64DUEKjzzI11q8PDB8uA9gePeTlgdVkcZvaXAayREREtc2SJTJEGDZM5somJMgvbA2USuC772SVgu7dZSA8bpzlGmBsrAxaZ8wAli2T62f/+Y/cl8HIkcDly7L+bEaGzNPdtMn6AjBXcu+LvU6eBFq2lOvjhj9DeveWtSOEkMHs4MHyK/dyVmWLi4tRbJYRff78ecTFxeHs2bPGi72crbRUfi0AAN2xC7uGL5Urr/37m/5UukFjxwKffiqfHzsmk7mJiIjINQwXmbsy7qjN3GtF1pxeL4uZ3Xab5Rr76NFAkyZA48bAoUPAM8/IiO2rr2zuZv78+Zg3b55zxlxFZmXkoPEptLwzQg2Zr8jm5dltt0RERERux30D2WnTgCNHgJ07LdsnTTI9j48HGjWSmdGnTgHNm1vtZs6cOZg5c6bxtWFF1pUMF3oBgEZVaNd9l00tICIiIqqt3DOQffxxmdyxY4dM2qhI167y58mTNgPZsnXazO+q4SrabAFAXrylURdX3LmauCJLREREdYV7ld8SQgaxX38tL5+Lja38PQcPyp+NGjl0aPakzTTdmUTjb10rtibML+5iIEtERES1mXutyE6bJm9Z8c03MiIz3EdNo5HVeU+dktsHDpR1KA4dkpfb9expuv2FB9BmFADwAwBo6tk3kOWKLBEREdUV7hXILl8uf/bubdm+ciUwfryszrt1q6mQWXS0rD3xwgtOHmjNaDPMVmQD7Vs0gjmyREREVFe4VyBbWSWw6Gh50wQPp71cYnyu0dh330wtICIiorrCvXJk6wh5MwRJE2L7XtA3iqkFREREVFcwkHUBeXtaiYEsERER0Y1hIOsCsvyWpAnzteu+mSNLREREdQUDWRfQahXG55pwtV33zRxZIiIiqisYyLqANs+UThAU7mfXfTO1gIiIiOoKBrIuoC0wFYsIalyvgp7VFxBges5AloiIiGozBrIukFPoAwDwRz58QoPsum9vb0D9T7YCc2SJiIioNmMg6wLaYhlpaqAFgoPtvn9DnixXZImIiKg2YyDrAtrr/gD+CWTtfUcEmPJkGcgSERFRbcZA1sl0OiBXJxNZNYpcedtdOzMEskwtICIiotqMgayTmQeXGp98hxzDEMgWFQGlpQ45BBEREZHLMZB1Mq3W9FyjKnLIMcxryeY7JlYmIiIicjkGsk6mzdIbn2vUxQ45BmvJEhERUV3AQNbJtBmFxuca/+sOOQZvU0tERER1AQNZJ9NeNH3XrwnQOeQYvE0tERER1QUMZJ1Mm2lKJ9AECYccg6kFREREVBcwkHUy7WWzQDZY4ZBjMJAlIiKiuoCBrJNpr5jyYjX1HXP6mSNLREREdQEDWSfTXjOrWhDq7ZBjMEeWiIiI6gIGsk6mzTblxWrC7H9XL4CpBURERFQ3MJB1Mm2OKS9W01DlkGMwkCUiIqK6gIGsk2nzTKdc08jfIcdgjiwRERHVBe4VyM6fD3TuLJM8GzYE7rkHOHbMsk9RETBtGhAaKiO2YcOAzEyXDPdGaAt8jM+DGgU45BjMkSUiIqK6wL0C2V9+kUHq7t3Ali3A9etAv35AvukmApgxA/j2W2D9etn/wgXgvvtcN+ZqyimUebFqFMI3TOOQYzC1gIiIiOoCx1w2f6M2bbJ8vWqVXJndtw/o2RPQaoEPPwQ+/xy44w7ZZ+VKoG1bGfx26+b0IVeXtlgNANBAC2gcH8gytYCIiIhqK/dakS1Lq5U/Q0Lkz3375Cpt376mPm3aADExQHKyzV0UFxcjJyfH+Mh1cWSnve4H4J9ANijIIcdgagERERHVBe4byOr1wPTpwG23ATfdJNsyMgBfXyA42LJveLjcZsP8+fOh0WiMj7i4OIcOuyJ6PZCjk3mxGq9cwNsxC+L+ZteQMZAlIiLyHMuXA+3by7WuoCCge3fghx9M26tyqdCZM8Ddd8t4oGFDYNYsoLTUss/PPwO33AKoVECLFvJL8LLeeQdo2hRQq4GuXYG9e+08WTtw30B22jTgyBHgiy9qtJs5c+ZAq9UaHykpKXYaYPXl5QHin1Ou8Slw2HGUSlMwy0CWiIjIc0RFAa+9Jr+E/uMPmUk5dChw9KjcXtmlQjqdDGJLSoBdu4CPP5ZB6ty5pj5pabJPnz7AwYNy3fCRR4DNm0191q4FZs4EEhOB/fuBDh2AhATg0iUnnIRqcK8cWYPHHwe++w7YsUP+Rg0iIuRvJjvbclU2M1Nus0GlUkGlMtVrzcnJAQDodDrodDoAgEKhgJeXF/R6PYQw3bDA0G7oV1m7l5cXFAqFzXYAuHZND0AJAAhSFxuPpdfrLforlUoIIWy2lx1jee316nmhoECB3FwBnc60H3vPqewYy2u3x5yc9XvinDgnzolz4pw4J3vNySA3N9cYgwDW8YnB4MGWr//9b7lKu3u3DIkqu1Toxx+BlBRg61b5hXXHjsDLLwPPPAMkJckvtt97D4iNBd54Q+6jbVtg505gyRIZrALA4sXAo48CEybI1++9B3z/PfDRR8Czz1oN22XcK5AVAnjiCeDrr+Wad2ys5fZOnQAfH2DbNrmWDsjyXGfOyLX3akhNTUVWVhYAICQkBDExMTh37hyuXbtm7BMREYGIiAikp6db5NZGR0cjNDQUJ06cQFFRkbG9WbNmCAoKQkpKisV/WK1bt4avry/++P04gLYAAF2zBtDr9SgpKcExsxJjSqUS8fHxyM3NRWpqqrFdrVajTZs2yMrKwtmzZ43tgYGBaN68OS5duoQMs/QKP792AHyQk6PH4cOHHTYn830DQHx8vMPm5KzfE+fEOXFOnBPnxDnZa04GZVMbExMTkZSUhIrodHLlNT9fhjmVXSrUrZv8GR8vg1iDhARg6lS5qnvzzbKP+T4MfaZPl89LSuSx5swxbffyku8p55Ikl1GIsn9quNJjj8k/M775Bmjd2tSu0QB+8iIpTJ0KbNwo18mDgmTgC8j18yo4d+4coqOjkZ6ejqh/Vnud9dfhrxu16DUoGADwZOwGLDk1FIBj/jrs1MkLf/6pgEolkJ/PFVnOiXPinDgnzolzcsWcLly4gOjoaKSkpCAyMtK4rbwVWQA4fFgGrkVFMg/288+BgQPlzwkTgOJiy/5dusg0gQULgEmTgNOnLdMECgqAgAAZPg0YALRqJfdjHqhu3CjTDQoKgKwsIDJShlbm64SzZ8t0hj17bA7bJdxrRXb5cvmzd2/L9pUrgfHj5fMlS+SfBcOGyd9kQgLw7rvVPpRSqYRSqbRoM3zIbfW1R3tepukvyfoBpcavHGz1VygUNtvLG2PZdkMJruJiBfR6JXx8LPvba07Vaa/pnCpr55w4p/LaOSfOyV5jrG4758Q5GQQGBiKoitWKWreWuataLfDll8C4cTKAJGvuFchWZXFYrZaX0b3zjuPHY2das0BWE6ivoGfNlb0pQv36Dj0cERER2Ymvr6wkAMisyt9/B5YtA0aOrPxSoYgI6+oChqoG5n3KVjrIzJRfdPv5yYvGlUrbfcq5JMll3LdqQS2kvVxifK4JVlTQs+ZYS5aIiKh20Ovll9DmlwoZlL1UqHt3mZpgXl1gyxYZpBrSdLt3t9yHoY9hH76+8ljmffR6+bqalyQ5nHutyNZy2qvXjc819R37NwRvU0tEROR55syReawxMfLunJ9/Lq9/37xZXjI0caIsixUSYrpUqHt3081N+/WTAeuYMcDChbLM/gsvyKqmhpTcKVOAt9+WOa8PPwz89BOwbp2sSmAwc6ZMabj1VpmDu3SpvOjMUMXAXTCQdSLtNVM6gSbUsaeet6klIiLyPJcuAWPHAhcvysC1fXsZxN51l9xe2aVCSqWsYDp1qgxwAwJkQPrSS6Y+sbEyaJ0xQ6YsREUB//mPqfQWINMYLl+W9WczMmQZr02bLKshuAMGsk6kzTblAGvCfB16LK7IEhEReZ4PP6x4e1UuFWrSRFYhqEjv3sCBAxX3efxx+XBnzJF1Im2OKS9WE6526LGYI0tERES1Xc0CWXcqJOYBtHmm0h6aCD+HHosrskREROQuHBUy1iyQNSRsGKxeXaPd1XbaAlMmR1DjehX0rDnmyBIREZG7cFTIWLNAtmzdV8Ndtgzi42u0+9omp1DmxfqiGOqGVSuKfKOYWkBERETuwlEhY80CWUWZWqhlR5meXqPd1zbaYpkXq4FWXoroQEwtICIiInfhqJDRvhd7lR1l2dd1nPa6zIvVQGu5ZOoADGSJiIjIXdkrZKxZ+a28PLkW3KaNfFy/DqSmAs2a1Wi3tZEQQI4uAACgUebJInAOxBxZIiIicheOChlrFsimpQF//ml6REQALVvK1caOHWWlXgIg74ah++d0a7wLHH485sgSERGRu3BUyHhjgaxeD1y7BjRqJKvuDhli2pafDxw6JEfZtu2NjaoW0mpNzzWqQocfj6kFRERE5CpXrgANGpheN2nimJCxeoFsbi4wfTrwxRdAUZFMaOjQAbjvPmDSJCAsTN4LrXt3+SAj7ZUSALJqgUZd4vDjMZAlIiIiV4mLA95+Gxgxovw+9ggZq5eo+eijwMqVQOfOwPPPA08+CQQHyxv43nQT8O23Nz6SWk57Pt/4XBNw3eHH8/c3PWeOLBERETlTu3bAAw8A998PXLpUef/CQkCnq/5xqhfIfvedDK1//lkGr2+8AWzbJmsmdO8ODBsG/PJL9UdRB2gvmvJiNfVu4DdVTV5eplVZrsgSERGRM23fDixbBmzeLIPaNWsq7v/ZZzdW0Kn6l8737m3d1qgR8N//Ap06AS+8UP1R1AHazCLjc02gqKCn/TCQJSIiIld5/HGZ/9quHfDQQ8A99wAZGZZ90tOBr76Sa6NhYdU/RvUC2TZtgORk29uUSrmGvG9f9UdRB2gvm/JiNcHOOaYhkGVqAREREblCs2ZydXbGDOB//5NB7YQJ8ot8jQZo3lymH1y4ALz8cvX3X72LvRYtkjfL7doVeOwx6+0XLwING1Z/FHWA9mqp8bmmvtIpxzQs0XNFloiIHEmn0+H6dcdf/+GufH194eXg+vCe5uxZ4PXX5frmkSOmRbWsLODjj2W9gAkTZFgZHw+0bi3XRKureoFsnz7Ae+/JIHblShlCd+woLzv75ReZDPHWW9UfRR2gvWbKi9WE1qx8b1UZVmSvXwdKSgBfX6ccloiI6gghBDIyMpCdne3qobiUl5cXYmNj4ct/aI0eeADYswe4805gyhRZE+Cmm2TAumKFrBmwYQNwxx2ywsGNqn5E9cgjwO23A0lJwKuvyhDbcF+xuDjgzBlg7Vq5dty6NeDjc+Ojq0W0WlNerCbMOR/0siW4QkKcclgiIqojDEFsw4YN4e/vD0UdvDW9Xq/HhQsXcPHiRcTExNTJc2DLvn3Ac88B8+ZZb3vySWDQIGDiRGDMGGD9erlOGh5e/ePc2NJgmzaylqxOB+zfDxw8KCvaHj4si4ZlZcngVqkEWrQAUlJu6DC1iTbH9JWDJlztlGOWvU0tA1kiIrIXnU5nDGJDQ0NdPRyXCgsLw4ULF1BaWgofLuABkOFgly7lb2/eXBbBeucdYM4cuf755pvA6NHVO07NvuNWKmVN2c6dLdvPnZNB7Z9/ysQIgjbPLJBt5F9BT/vhbWqJiMhRDDmx/v7O+TfNnRlSCnQ6HQPZf0ycWLV+06YBd99tWp2tbiDrmMzkqChgwADg2WdlYbCq2rEDGDwYaNxYruhu2GC5ffx42W7+6N/fniN3GG2+6YOtaRzglGPy7l5ERORo/Cqd56CmmjaVtyVYvrz673WvS+zy8+Utb995p/w+/fvL6giGR2UVdt2Etkj+teaN61A3DHLKMRnIEhERkaeYNKn673HO5fNVNWCAfFREpQIiIpwzHjvKKZZ5sRpooagf7JRjls2RJSIiIqpN3GtFtip+/lnWqm3dGpg6Fbh6tcLuxcXFyMnJMT5yXRTRaa/LHCINtICT8omYI0tERES1mWcFsv37A598IhMpFiyQtWsHDJDVE8oxf/58aDQa4yOuJsXKbpAQgFYn82I1yjxTuTIHY2oBERER1WaeFciOGgUMGSJvAXHPPcB33wG//y5XacsxZ84caLVa4yPFBaXACguBUsiLvTQ+BU47LgNZIiIi24YPH46wsDCsWLHC2LZnzx74+vrixx9/dOHIqDo8K5Atq1kzoEED4OTJcruoVCoEBQUZH4Hm37c7iTbb7GYIqiKnHZc5skRERLa9+eabGDZsGF566SUAQF5eHh566CFMnToV/fr1c/HoqKrc62Kv6jp3TubINmrk6pFUSJtZBMAPAKBRlzjtuMyRJSIiZ7v1ViAjw/nHjYgA/vij6v0bNWqE6dOn4/3338fVq1cxa9YsqFQqLFiwAACwePFiLF68GA0aNAAgS2zt2LHDJQtiVD73CmTz8ixXV9PS5F3DQkLkY948YNgw+Wk9dQqYPVveOSwhwWVDrgrthXwYA1n/6047LlMLiIjI2TIygPPnXT2KqmnVqhX8/f0xd+5crF69Gnv37oVaLasMHTlyBMuWLcOwYcNcPEqqiHsFsn/8AfTpY3o9c6b8OW6crJJ76BDw8cdAdra8aUK/fsDLL8uSXG5Mm2HKi9XUK//CNHtjagERETmbqypk3shxvby8EB8fj3fffRcLFy5Ehw4djNuOHDmC559/3o4jJEdwr0C2d295iX95Nm922lDsSZtZbHyu0VQwPztjagERETlbdb7edzXxT8xxyy234KmnnrJoP3bsmMVq7KuvvoqBAwc6fYxUMfcKZGsp7SXzQNZ5t7FjagEREVH5li5dij179qBjx47w8jJd/56WloY2bdpgz549LhwdVYVnVy3wENqrpcbnmvrOO+V+fqaStQxkiYiITA4fPow5c+bgscceQ0pKCkpLTf9WHzlyBK1atXLh6KiqGMg6gTZLb3yuCXXeIrhCYVqVZY4sERGRVFRUhNGjR2PkyJF45ZVXUFJSgr///tu43ZWB7Pz5QOfOMj2wYUNZNv/YMcs+RUXAtGlAaKj8d37YMCAz07LPmTPA3XfLm4k2bAjMmgWYxeoAZBn+W26Rlxq1aAGsWmU9nnfeAZo2BdRqoGtXYO9e+83VHhjIOoFFHdmGzr0wzZAnyxVZIiIi6dlnn0V+fj7efvtt1K9fH02aNMHSpUtx4cIFADKQXbFiBTp27IiOHTuij/mF6A72yy8ySN29G9iyBbh+XV7bnp9v6jNjBvDtt8D69bL/hQvAffeZtut0MogtKQF27ZLXya9aBcyda+qTlib79OkjC0RNnw488ojl5Uhr18rr7hMTgf37gQ4dZKGoS5ccfBKqQ9QxZ8+eFQDE2bNnnXbMce33CXkVmxAp//nNaccVQohWreRxg4OdelgiIqrlCgsLRUpKiigsLHT1UKpl8+bNwtvbW/z2m+nf4w8++ECEhoaKe+6554b2WdG5qGnccemS/Hf8l1/k6+xsIXx8hFi/3tTnr79kn+Rk+XrjRiG8vITIyDD1Wb5ciKAgIYqL5evZs4Vo187yWCNHCpGQYHrdpYsQ06aZXut0QjRuLMT8+Tc0FYeosxd76XQ66HSyFJZCoYCXlxf0er3xCkbzdkO/ytq9vLygUCis2rV5SuPzeuFq43ZDYrler7for1QqIYSw2V52jOW1G8ZYr54AoEBenkBpqR5eXvaZU3ljd8acHPV74pw4J86Jc+Kcqj4nnU4HIYRxXGXnYxiPK9orctddd6GkpMQ4ZoVCgYkTJ2LixIkW86jOMQ2vDefFvK9Bbm4ucnJyjK9VKhVUVSgfqtXKnyEh8ue+fXKVtm9fU582bYCYGCA5GejWTf6MjwfCw019EhKAqVOBo0eBm2+Wfcz3Yegzfbp8XlIijzVnjmm7l5d8T3JypcN2mjobyKampiIrKwsAEBISgpiYGJw7dw7Xrl0z9omIiEBERATS09ORa5ZkGh0djdDQUJw4cQJFRaZbzjZr1gxBQUFISUmx+CBnFaqNz8955+Pq4cMAgPj4eJSUlOCYWfKLUqlEfHw8cnNzkZqaamxXq9Vo06YNsrKycPbsWWN7YGAgmjdvjkuXLiHD7FYqhjn5+BQDUKO0VIF9+46gSZNwu8ypdevW8PX1xeF/5mLgjDk56vfEOXFOnBPnxDlVfU5CCHh5eaG4uBh+fn7Q6XTGABGQwbBarUZpaSmuX79usR+VSoWSkhKLsfj4+MDHxwfFxcUWAbSvry+8vb1RVFRkEUCqVCoolUoUFhZajF2tVkOhUFi1+/n5QQhhcV4AwN/fH3q9HsXFpgpDCoWiWnMyXCiWkZFhEaxGmBW3jYuLszhuYmIikpKSUBG9XgaWt90G3HQT/jkG4OsLBAdb9g0PN91RLSPDMog1bDdsq6hPTg5QWAhkZckUBVt9zNKJXU4hqvunjIc7d+4coqOjkZ6ejqioKACO/4u3S2ga9mtbQIlSFJ2/DEV4Q2N/wLF/xd99t8DGjfIvwowMHcLCXP9XfE3n5I4rE5wT58Q5cU51bU5FRUU4ffo0YmNjoVarrfoaxuOolVfDaqcj26s6lpKSEqSnp6NJkyYWq6wKhQIXLlxAdHQ0UlJSEBkZadxWlRXZqVOBH34Adu4E/glZ8PnnwIQJgFncDQDo0kXmuy5YAEyaBJw+bZnvWlAABAQAGzcCAwYArVrJ/ZivuG7cKPNmCwpkIBsZKXNsu3c39Zk9W+bluktlsjq7IqtUKqFUKi3azGvIle1bk/acYrkiG4QceIfUB8pst7UfhUJhs728MZbXHhho+lqjsFAJQ7eazulG2u01J0f9nm6knXPinOw1xuq2c06ck73GWN12w5yUSqUxqCsuLq72V/y1SUlJiXGFurxzGRgYiKCgoCrv8/HHge++A3bsMAWxgLyDWUmJvMmp+apsZqbp7mYREdbVBQxVDcz7lK10kJkJBAXJ8p1KpXzY6uOqu7fZUmcDWWfSlvoDADTIAdQhTj02b4pARESOVFpaCl9fX/j6+lrkhNYVQghjmoQ9gnkhgCeeAL7+WpbHio213N6pE+DjA2zbJstuAbI815kzppXT7t2Bf/9bVhdoKL8ExpYtMkg1ZDh07y5XYM1t2WLah6+vPNa2bbIEGCBTHbZtk0G2u2Ag6wTa0gAAgEbp/EjS/Da1rCVLRET2JISATqeDt7d3uSuRdYGXl5fxXNTUtGkyfeCbb+S/4YacVo1GrpRqNMDEibIsVkiIDE6feEIGoN26yb79+smAdcwYYOFCuY8XXpD7NmQzTJkCvP22TBV4+GHgp5+AdeuA7783jWXmTGDcOODWW2XqwtKlsgzYhAk1nqbdMJB1sKIioATyU6PxLXD68bkiS0REjmBYgc3MzIRCoYBKpaqzK7LXrl2DXq+3y/yXL5c/e/e2bF+5Ehg/Xj5fskRWEBg2TObKJiQA775r6qtUyrSEqVNlgBsQIAPSl14y9YmNlUHrjBnAsmUyfeE//5H7Mhg5Erh8WdafzcgAOnYENm2yvgDMlRjIOpi8GYL8YGt8iyru7AAMZImIyBG8vLwQFRWF1NRUXLhwoU4GsQZCCLutSlclO0Gtlnfceued8vs0aWKdOlBW797AgQMV93n8cfdKJSiLgayDaS/kA5DRpMavuOLODmAeyDK1gIiI7MlQMismJgbe3nU3pNDpdDhz5oyrh1En1d1PnZNYBLL+pRV3dgDzHFmuyBIRkb0pFAp4e3tDrVZX3rmWKlublpzHdj0PshvtRVNerKZezZPAq4upBURERFRbMZB1MO0lUzqBJsj5NfYYyBIREVFtxUDWwbSXTbe20wQ7PxGeObJERETl27lzJ7p06QK1Wo0GDRpg2bJlrh4SVQMDWQfTXjXlxWrqO/90M0eWiIjIto0bN+Lee+/FY489hkOHDmHy5MmYMWMG0tPTXT00qiJe7OVg2mumvFhNAx+nH5+pBURE5FS33mqq4u9MERHAH39UuXtRUREmT56MZcuWYfTo0QCAl156CW+++SZ27NiBr776CosXL0aDBg0AyIvaduzYgUDzFSJyOQayDqbVmp5rwnydfnwGskRE5FQZGcD5864eRaV++uknFBYWYuTIkcY2pVJpvLnDkSNHsGzZMgwz3AeW3BIDWQfT5pjyYjXhzi9NwhxZIiJyqogIjzju9u3b0bFjR4ubGJw8eRK5ubm4+eab8cYbb+D555+39yjJzhjIOpg2z/QfiCbCz+nHV6vlrep0Oq7IEhGRE1Tj631XOnDgAEpKSiza3n33XXTq1AktW7bEsWPHLFZjX331VQwcONDZw6RKuFcgu2MHsGgRsG8fcPEi8PXXwD33mLYLASQmAh98AGRnA7fdJm9K3LKlq0ZcKW2BKS9WE1mvgp6OoVDIVVmtloEsERGRwYEDByCEwCeffIKuXbti/fr1WL58OXbt2oW0tDS0adMGe/bscfUwqRLuVbUgPx/o0KH8mwcvXAi8+Sbw3nvAnj1AQACQkAC48R01tEUyL1YBPeo1DnLJGAzpBUwtICIiAs6cOYNr167h008/xaJFi9C+fXt888032LRpE26++WYcOXIErVq1cvUwqQrca0V2wAD5sEUIYOlS4IUXgKFDZdsnnwDh4cCGDcCoUTbfVlxcjOJi000Jcp0czeUUy7zYIORAEaxx6rENDBdYckWWiIgIOHjwIEJCQnD33Xfj7rvvttrOQNZzuNeKbEXS0uSVkH37mto0GqBrVyA5udy3zZ8/HxqNxviIi4tzwmBNtKX+AACNIgfwcX75LcC0IpuXJ/8eICIiqssOHDiA+Pj4crcfOXIEK1asQMeOHdGxY0f06dPHiaOj6nCvFdmKGGrShYdbtoeHV1ivbs6cOZg5c6bx9fnz550azGpLZRSpUbpuOdQQyOr1MgvDz/nXnBEREbmNAwcOoH379uVu//zzz504GqoJzwlkb5BKpYJKpTK+zsnJcdqxS0qAIsjUAo1PgdOOW1bZElwMZImIqC7bsGGDq4dAduI5qQWG+nCZmZbtmZmuq1lXCYu7eqlcd0Eab1NLREREtZHnBLKxsTJg3bbN1JaTI6sXdO/uunFVQHveFDVq1CUV9HQs3t2LiIiIaiP3Si3IywNOnjS9TksDDh4EQkKAmBhg+nTglVdk3djYWODFF4HGjS1rzboR7YV8ALJSgSag1GXjYCBLREREtZF7BbJ//AGYXxlouEhr3Dhg1Spg9mxZa3bSJHlDhNtvBzZtkrevckPajELjc009XQU9HYu3qSUiIqLayL0C2d69K64PpVAAL70kHx5Am2nKi9UEua7uFXNkiYjIkUQdr+1Y1+fvSu4VyNYy2sumvFhNsOvGwdQCIiJyBB8fHygUCly+fBlhYWFQKBSuHpLTCSFw+fJlKBQK+LioXnxdxkDWgbRXTXmxmhDXnWoGskRE5AhKpRJRUVE4d+4c0tPTXT0cl1EoFIiKioJSqXT1UOocBrIOpM3SG59rQl13qs1TC5gjS0RE9lSvXj20bNkS169fd/VQXMbHx4dBrIswkHUgrdaUM6MJ83XZOLgiS0REjqRUKhnIkUt4Th1ZD6TNMeUKacJdV1mBgSwRERHVRgxkHUibZ1rw1jTyd9k4WH6LiIiIaiMGsg6kLTALZBsHuGwcLL9FREREtREDWQfSFqqMzwMjg1w2DqYWEBERUW3EQNaBckpkXmwgcuAVzECWiIiIyJ4YyDqQtlTmxWoUOYALr+b09QW8/8lyYI4sERER1RYMZB1Iq5NLoRplvkvHoVCY8mS5IktERES1BQNZB7l+HSgQ/6zI+hS4eDSm9AIGskRERFRbMJB1kJyrpjucaNRFLhyJxECWiIjIM+zYAQweDDRuLL9V3bDBcrsQwNy5QKNGgJ8f0LcvcOKEZZ9r14AHHwSCgoDgYGDiROsY4NAhoEcPQK0GoqOBhQutx7J+PdCmjewTHw9s3GjPmdYcA1kH0Z4zJaNq1CUuHIlkHsgKUXFfIiIicp38fKBDB+Cdd2xvX7gQePNN4L33gD17gIAAICEBKDJbN3vwQeDoUWDLFuC772RwPGmSaXtODtCvH9CkCbBvH7BoEZCUBKxYYeqzaxfwwAMyCD5wALjnHvk4csQBk75BvEWtg2gv5AMIAQBoAlx//2lDjqwQQEGB/NATERGR+xkwQD5sEQJYuhR44QVg6FDZ9sknQHi4XLkdNQr46y9g0ybg99+BW2+Vfd56Cxg4EHj9dbnSu3o1UFICfPSRvCi8XTvg4EFg8WJTwLtsGdC/PzBrlnz98ssyMH77bRlEu4M6G8jqdDrodDoAgEKhgJeXF/R6PYTZcqWh3dCvsnYvLy8oFArodDpcu2jKiw2qp4MQAnq93qo/AKt2pVJps79SqbQaY3ntZecUEOAFQN4yNy8PUKurP6eqjN2Zc6ps7JwT58Q5cU6cE+fk6jkZ5ObmIicnx/hapVJBpTLVm6+qtDQgI0OmExhoNEDXrkBysgxkk5NlOoEhiAVkfy8vuYJ7772yT8+eMog1SEgAFiwAsrKA+vVln5kzLY+fkGCd6uBKdTaQTU1NRVZWFgAgJCQEMTExOHfuHK5du2bsExERgYiICKSnpyPXrG5VdHQ0QkNDceLECRSZreM3a9YMQUFBSElJwaFzxcb2gPryQ3/48GGLMcTHx6OkpATHjh0ztimVSsTHxyM3NxepqanGdrVajTZt2iArKwtnz541tgcGBqJ58+a4dOkSMjIyjO1l51RaGgPDCnFeHpCXV/05mf/PonXr1vD19XXpnAxq8nvinDgnzolz4pw4J0fOySAuLs5iPImJiUhKSkJ1GQ4bHm7ZHh5u2paRATRsaLnd2xsICbHsExtrvQ/Dtvr15c+KjuMOFKLsnxq13Llz5xAdHY309HRERUUBcMxfh5/OOIAJb8k/hd4a8iOmbbjLpX8dPvaYAitWyOMdOADEx9euv3hr41/xnBPnxDlxTpyT58/pwoULiI6ORkpKCiIjI43bqroiq1AAX38tc1MBmbd6223AhQvyYi+DESNk37VrgVdfBT7+GDCL2QHI4HbePGDqVJkfGxsLvP++aXtKikwxSEkB2raVq7UffyzzZA3efVfuIzOz0qE7RZ1dkVUqlVCWuUmB4UNuq29123OvlRpfB9eX/7FVZz/l9S9vjJW1G3JkAbkieyNzqmm7vefkiDFWt51z4pzsNcbqtnNOnJO9xljdds6p+u2AXM0NCqr5XT4Ni7yZmZaBbGYm0LGjqc+lS5bvKy2VlQwM74+IsA5GDa8r62O20OxyrFrgINprpr/sNA18XDgSibepJSIi8nyxsTKQ3LbN1JaTI3Nfu3eXr7t3B7KzZTUCg59+AvR6mUtr6LNjh6x7b7BlC9C6tUwrMPQxP46hj+E47oCBrINotabnmoa+5Xd0EvNAlrepJSIicl95ebKCwMGD8nVamnx+5oxMH5g+HXjlFeB//wMOHwbGjpWVCAzpB23bymoDjz4K7N0L/PYb8Pjj8kKwxo1ln9GjZerAxImyTNfatbJKgfnFXU8+KasfvPEG8PffsjzXH3/IfbmLOpta4GjaHNOVipqGaheORCqbWkBERETu6Y8/gD59TK8NweW4ccCqVcDs2bLW7KRJcuX19ttlwKk2CzdWr5YB5513ymoFw4bJ2rMGGg3w44/AtGlAp05AgwbyJgvmtWb/7/+Azz+Xpb6eew5o2VJWLLjpJgdOvpo8K5BNSpIZxuZat5Z/JrgZbb4p10bTyN+FI5GYWkBEROQZeveu+OZFCgXw0kvyUZ6QEBmEVqR9e+DXXyvuM3y4fLgrzwpkAXk53datptfe7jkFbb4pL1bT2PV3H2AgS0RERLWNe0aBFfH2dq/L5cqhLTKV1AiK1rhwJBJzZImIiKi28byLvU6ckJnKzZrJGwmfOVNh9+LiYuTk5BgfuU6K4nJKZKJKPeRCqalXSW/HY44sERER1TaeFch27SqznDdtApYvl5fx9ehR4RLj/PnzodFojI+yd9ZwFO11mRcbpMiVySwuxtQCIiIiqm08K5AdMEBmHLdvL2/2u3GjvFxv3bpy3zJnzhxotVrjIyUlxSlD1epl5KjxznfK8SrDQJaIiIhqG8/LkTUXHAy0agWcPFlul7K3gMvJyXH4sHQ6IE/8E8j6FDj8eFVhnlrAHFkiIiKqDTxrRbasvDzg1CnLe7S5gZxLRcbnGlVRBT2dJ8CscAJXZImIiKg28KxA9umngV9+AdLTgV27gHvvBZRK4IEHXD0yC9pzpiVPjV+JC0di4usrHwADWSIiIqodPCu14Nw5GbRevQqEhclbWezeLZ+7Ee2FfAByTBr/UtcOxky9esC1a0wtICIiotrBswLZL75w9QiqRJtRaHyuCdS5cCSWAgNlIMsVWSIiIqoNPCu1wENoM81yZINcOJAyDJULGMgSERFRbcBA1gG0l015sZpg142jLEMgm58P6PWuHQsRERFRTTGQdQDtNVNerKa+0oUjsWReSzbfPcrbEhEREd0wBrIOoM0yLXdqGvi4cCSWeJtaIiIiqk0YyDqANtv0XBPm67JxlMW7exEREVFtwkDWAbS5CuNzTbjahSOxxECWiIiIahMGsg6gzTNVNdM08nfhSCyZB7KsJUtERESejoGsA2gLTHmxmsh6FfR0LubIEhERUW3CQNYBtEUq4/OgKPcpJMvUAiIiIqpNGMg6QE6JDGT9kQ+fID8Xj8aEgSwRERHVJgxkHUB7PQAAEKTIAxSKSno7j3lqAXNkiYiIyNMxkHUArV4ufWq83WvZkyuyREREVJswkLUzvU4gV/wTyPoUung0lhjIEhERUW3CQNbOcjPyIf45rRpVkYtHY4nlt4iIiKg2YSBrZ9rzpqVOjV+JC0dijeW3iIiIqDZhIGtn2gv5xueagFIXjsQaUwuIiIioNmEga2faiwXG55p6OheOxBoDWSIiIqpNGMjamfZSsfG5Jki4cCTWmCNLREREtQkDWTvTXrlufK4Jdp8asgDg7Q2o1fI5V2SJiIjI0zGQtTPtVVNerCZE6cKR2GZYlWUgS0RERJ6OgaydabNMebGaBj4uHIltDGSJiIiotmAga2darem5JszXdQMph6EEF3NkiYiIyNMxkLUzbY7plGrC1S4ciW2GFdnCQkDnXkUViIiIiKrFMwPZd94BmjaVVy517Qrs3evqERlp8015sZrGAS4ciW3mlQvy88vvR0RERK7jxqGOW/G8QHbtWmDmTCAxEdi/H+jQAUhIAC5dcvXIAADaAlNerLsHssyTJSIicj9uHuq4FW9XD6DaFi8GHn0UmDBBvn7vPeD774GPPgKefda1YwOgLVIZn2uig1w4EtvMb1P78MOWgW1NKNyr0hgREVG1vP02EB7u6lFIbh7quBXPCmRLSoB9+4A5c0xtXl5A375AcrLNtxQXF6O42HSTAu0/V2OdP38eun+SRBUKBby8vKDX6yGE6SYG1W338vLC1aJSADlQoRAXrxUB12Q7AOj1eouxldeuVCohhLBot9cYFQp/ADLY3rzZ5ikjIiKqc/71Ly2KiuS/u/b7N1eBzMxMADL+CAoyLXCpVCqoVKbFL4MbCHXqNM8KZK9ckVcolf2TKTwc+Ptvm2+ZP38+5s2bZ9XerVs3R4zQqBgyt4WIiIjcX8+ejt3/TTfdZPE6MTERSUlJVv1uINSp0zwrkL0Bc+bMwcyZM42vS0tL8ddffyE6Otq4Impvubm5iIuLQ0pKCgLNv8snh+D5di6eb+fi+XY+nnPnqu3nW6/X48yZM4iLi4O3tynssrUaS9XnWYFsgwaAUgn8s0xvlJkJRETYfIutpfvbbrvNUSMEAOTk5AAAIiMjLb5GIMfg+XYunm/n4vl2Pp5z56oL5zsmJqbKfW8g1KnTPKtqga8v0KkTsG2bqU2vl6+7d3fduIiIiIjsgKFO9XjWiiwg61GMGwfceivQpQuwdKksiGq4tI+IiIjIgzHUqTrPC2RHjgQuXwbmzgUyMoCOHYFNm9ynZgZkOkNiYiLzX5yE59u5eL6di+fb+XjOnYvn25oHhDpuQyHM60QQEREREXkIz8qRJSIiIiL6BwNZIiIiIvJIDGSJiIiIyCMxkCUiIiIij8RAtgreeecdNG3aFGq1Gl27dsXevXsr7L9+/Xq0adMGarUa8fHx2Lhxo8V2IQTmzp2LRo0awc/PD3379sWJEyccOQWPYu/z/dVXX6Ffv34IDQ2FQqHAwYMHHTh6z2TPc379+nU888wziI+PR0BAABo3boyxY8fiwoULjp6Gx7D3ZzwpKQlt2rRBQEAA6tevj759+2LPnj2OnIJHsff5NjdlyhQoFAosXbrUzqP2bPY+5+PHj4dCobB49O/f35FTIE8hqEJffPGF8PX1FR999JE4evSoePTRR0VwcLDIzMy02f+3334TSqVSLFy4UKSkpIgXXnhB+Pj4iMOHDxv7vPbaa0Kj0YgNGzaIP//8UwwZMkTExsaKwsJCZ03LbTnifH/yySdi3rx54oMPPhAAxIEDB5w0G89g73OenZ0t+vbtK9auXSv+/vtvkZycLLp06SI6derkzGm5LUd8xlevXi22bNkiTp06JY4cOSImTpwogoKCxKVLl5w1LbfliPNt8NVXX4kOHTqIxo0biyVLljh4Jp7DEed83Lhxon///uLixYvGx7Vr15w1JXJjDGQr0aVLFzFt2jTja51OJxo3bizmz59vs/+IESPE3XffbdHWtWtXMXnyZCGEEHq9XkRERIhFixYZt2dnZwuVSiXWrFnjgBl4Fnufb3NpaWkMZG1w5Dk32Lt3rwAgTp8+bZ9BezBnnG+tVisAiK1bt9pn0B7MUef73LlzIjIyUhw5ckQ0adKEgawZR5zzcePGiaFDhzpkvOTZmFpQgZKSEuzbtw99+/Y1tnl5eaFv375ITk62+Z7k5GSL/gCQkJBg7J+WloaMjAyLPhqNBl27di13n3WFI843VcxZ51yr1UKhUCA4ONgu4/ZUzjjfJSUlWLFiBTQaDTp06GC/wXsgR51vvV6PMWPGYNasWWjXrp1jBu+hHPkZ//nnn9GwYUO0bt0aU6dOxdWrV+0/AfI4DGQrcOXKFeh0OoSXuZVGeHg4MjIybL4nIyOjwv6Gn9XZZ13hiPNNFXPGOS8qKsIzzzyDBx54AEFBQfYZuIdy5Pn+7rvvUK9ePajVaixZsgRbtmxBgwYN7DsBD+Oo871gwQJ4e3vjX//6l/0H7eEcdc779++PTz75BNu2bcOCBQvwyy+/YMCAAdDpdPafBHkUz7tFLRF5jOvXr2PEiBEQQmD58uWuHk6t1qdPHxw8eBBXrlzBBx98gBEjRmDPnj1o2LChq4dWq+zbtw/Lli3D/v37oVAoXD2cOmPUqFHG5/Hx8Wjfvj2aN2+On3/+GXfeeacLR0auxhXZCjRo0ABKpRKZmZkW7ZmZmYiIiLD5noiIiAr7G35WZ591hSPON1XMkefcEMSePn0aW7ZsqfOrsYBjz3dAQABatGiBbt264cMPP4S3tzc+/PBD+07AwzjifP/666+4dOkSYmJi4O3tDW9vb5w+fRpPPfUUmjZt6pB5eBJn/X+8WbNmaNCgAU6ePFnzQZNHYyBbAV9fX3Tq1Anbtm0ztun1emzbtg3du3e3+Z7u3btb9AeALVu2GPvHxsYiIiLCok9OTg727NlT7j7rCkecb6qYo865IYg9ceIEtm7ditDQUMdMwMM48zOu1+tRXFxc80F7MEec7zFjxuDQoUM4ePCg8dG4cWPMmjULmzdvdtxkPISzPuPnzp3D1atX0ahRI/sMnDyXq682c3dffPGFUKlUYtWqVSIlJUVMmjRJBAcHi4yMDCGEEGPGjBHPPvussf9vv/0mvL29xeuvvy7++usvkZiYaLP8VnBwsPjmm2/EoUOHxNChQ1l+6x+OON9Xr14VBw4cEN9//70AIL744gtx4MABcfHiRafPzx3Z+5yXlJSIIUOGiKioKHHw4EGLcjnFxcUumaM7sff5zsvLE3PmzBHJyckiPT1d/PHHH2LChAlCpVKJI0eOuGSO7sQR/08pi1ULLNn7nOfm5oqnn35aJCcni7S0NLF161Zxyy23iJYtW4qioiKXzJHcBwPZKnjrrbdETEyM8PX1FV26dBG7d+82buvVq5cYN26cRf9169aJVq1aCV9fX9GuXTvx/fffW2zX6/XixRdfFOHh4UKlUok777xTHDt2zBlT8Qj2Pt8rV64UAKweiYmJTpiNZ7DnOTeUObP12L59u5Nm5N7seb4LCwvFvffeKxo3bix8fX1Fo0aNxJAhQ8TevXudNR23Z+//p5TFQNaaPc95QUGB6NevnwgLCxM+Pj6iSZMm4tFHHzUGxlS3KYQQwjVrwUREREREN445skRERETkkRjIEhEREZFHYiBLRERERB6JgSwREREReSQGskRERETkkRjIEhEREZFHYiBLRERERB6JgSwREREReSQGskRERETkkRjIEhEREZFHYiBLRLXOwoUL0aZNG+j1emPbqlWroFAokJ6e7tBjJyUlQaFQOPQYVfHee+8hJiYGxcXFrh4KEZHDMJAlIpf6888/MXz4cERGRkKlUiE8PBxDhgzBxYsXjX2EEHjppZfw66+/Vrq/nJwcLFiwAM888wy8vOru/+LGjx+PkpISvP/++64eChGRw9Td/8sTkctdvHgRt99+O9LT0zFr1iysWLECc+bMgRACQghjv+PHjyMxMdEiuC3PRx99hNLSUjzwwAMW7WPGjEFhYSGaNGli93m4I7VajXHjxmHx4sUW55KIqDbxdvUAiKju+u6775CXl4elS5fitttuM7ZPnz7dot++ffsAALfcckul+1y5ciWGDBkCtVpt0a5UKqFUKms+aA8yYsQILFy4ENu3b8cdd9zh6uEQEdkdV2SJyGW6du0KlUqFAQMGYOzYsVizZg1yc3Mt+nTp0gUPPvggAKBly5ZQKBQIDg62ub+0tDQcOnQIffv2tdpmK0fWkM968uRJjB8/HsHBwdBoNJgwYQIKCgoqHf/OnTvRuXNnqNVqNG/evNyv8U+fPo3HHnsMrVu3hp+fH0JDQzF8+HCLsWzfvh0KhQJff/211fs///xzKBQKJCcnAwByc3Mxffp0NG3aFCqVCg0bNsRdd92F/fv3W7yvU6dOCAkJwTfffFPpXIiIPBFXZInIZfR6Pbp164YpU6bg0qVLmD9/PmbOnImvv/4a3bp1AwA888wzSEpKQnFxMebOnQsA5Qayu3btAlC1lVtzI0aMQGxsLObPn4/9+/fjP//5Dxo2bIgFCxaU+57Dhw+jX79+CAsLQ1JSEkpLS5GYmIjw8HCrvr///jt27dqFUaNGISoqCunp6Vi+fDl69+6NlJQU+Pv7o3fv3oiOjsbq1atx7733Wrx/9erVaN68Obp37w4AmDJlCr788ks8/vjjiIuLw9WrV7Fz50789ddfVnO/5ZZb8Ntvv1XrfBAReQxBROQCR48eFQ0aNBCHDh0ytuXk5IiYmBjRunVri74xMTFi/Pjxle7zhRdeEABEbm6u1baVK1cKACItLc3YlpiYKACIhx9+2KLvvffeK0JDQys81j333CPUarU4ffq0sS0lJUUolUpR9n+tBQUFVu9PTk4WAMQnn3xibJszZ45QqVQiOzvb2Hbp0iXh7e0tEhMTjW0ajUZMmzatwvEZTJo0Sfj5+VWpLxGRp2FqARG5xIQJEzBkyBDEx8cb2wIDAzFo0CAcO3YMOTk5AACtVoszZ86gffv2le7z6tWr8Pb2Rr169ao1lilTpli87tGjB65evWocQ1k6nQ6bN2/GPffcg5iYGGN727ZtkZCQYNXfz8/P+Pz69eu4evUqWrRogeDgYIt0gLFjx6K4uBhffvmlsW3t2rUoLS3FQw89ZGwLDg7Gnj17cOHChUrnVr9+fRQWFlYpVYKIyNMwkCUip9u7dy/27t2LIUOGWG0rLS0FAPj4+AAADh06BABVCmRvlHkwCsjgDwCysrJs9r98+TIKCwvRsmVLq22tW7e2aissLMTcuXMRHR0NlUqFBg0aICwsDNnZ2dBqtcZ+bdq0QefOnbF69Wpj2+rVq9GtWze0aNHC2LZw4UIcOXIE0dHR6NKlC5KSkpCammpzrOKfigXuUNuWiMjeGMgSkdPt2bMHgAzcyjp48KDxoijAFMh26NCh0v2GhoaitLTU6oKxypRXzUDYqWzVE088gX//+98YMWIE1q1bhx9//BFbtmxBaGioxU0bALkq+8svv+DcuXM4deoUdu/ebbEaC8ic3tTUVLz11lto3LgxFi1ahHbt2uGHH36wOnZWVhb8/f0tVoWJiGoLBrJE5HRXr14FAPj6+lq0nzp1Cr///jvuv/9+Y9uhQ4fQqFEjNGjQoNL9GgLjtLQ0O47WWlhYGPz8/HDixAmrbceOHbNq+/LLLzFu3Di88cYbuP/++3HXXXfh9ttvR3Z2tlXfUaNGQalUYs2aNVi9ejV8fHwwcuRIq36NGjXCY489hg0bNiAtLQ2hoaH497//bdUvLS0Nbdu2vbGJEhG5OQayROR0jRs3BgBs3brV2FZcXIzJkycjODgYkydPNrafOXMGUVFRVdqv4ar+P/74w46jtaZUKpGQkIANGzbgzJkzxva//voLmzdvttm/7OruW2+9BZ1OZ9W3QYMGGDBgAD777DOsXr0a/fv3twjidTqdRToCADRs2BCNGze2eTva/fv34//+7/+qPUciIk/A8ltE5HT33nsvZs+ejRkzZuDs2bMIDg7GZ599hsOHD2P9+vWIjo429o2NjcVPP/2EhQsXonHjxmjbti06depkc7/NmjXDTTfdhK1bt+Lhhx926BzmzZuHTZs2oUePHnjsscdQWlqKt956C+3atTOmQxgMGjQIn376KTQaDeLi4pCcnIytW7ciNDTU5r7Hjh1rXJV++eWXLbbl5uYiKioK999/Pzp06IB69eph69at+P333/HGG29Y9N23bx+uXbuGoUOH2nHmRETug4EsETldWFgYNm/ejKeeegqLFi2Cr68vbrvtNrzzzjvGVVWDF154AampqXj55ZeRl5eHN998s9xAFgAefvhhzJ07F4WFhQ7NC23fvj02b96MmTNnYu7cuYiKisK8efNw8eJFq0B22bJlUCqVWL16NYqKinDbbbdh69atNiscAMDgwYNRv3596PV6qwvi/P398dhjj+HHH3/EV199Bb1ejxYtWuDdd9/F1KlTLfquX78eMTExvKsXEdVaCmGvqxmIiNyAVqtFs2bNsHDhQkycONHVw7khpaWlaNy4MQYPHowPP/zwhvZRXFyMpk2b4tlnn8WTTz5p5xESEbkH5sgSUa2i0Wgwe/ZsLFq0yKoigKfYsGEDLl++jLFjx97wPlauXAkfHx+rGrlERLUJV2SJiNzEnj17cOjQIbz88sto0KCBxc0SiIjIGldkiYjcxPLlyzF16lQ0bNgQn3zyiauHQ0Tk9rgiS0REREQeiSuyREREROSRGMgSERERkUdiIEtEREREHomBLBERERF5JAayREREROSRGMgSERERkUdiIEtEREREHomBLBERERF5JAayREREROSRGMgSERERkUf6fxjLlgDiWUKeAAAAAElFTkSuQmCC",
+ "text/plain": [
+ "<Figure size 700x300 with 2 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 700x300 with 2 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "def plot_order_parameters_PE_XE(delta_t_values, rho_E, chi_E):\n",
+ " \"\"\"\n",
+ " Plot order parameter ÏE and susceptibility χE in the same figure with dual axes.\n",
+ " \"\"\"\n",
+ "\n",
+ " fig, ax1 = plt.subplots(figsize=(7, 3)) # Adjust figure size\n",
+ "\n",
+ " # Convert δt from seconds to hours\n",
+ " seconds_per_hour = 24*3600\n",
+ " delta_t_values_min = delta_t_values / seconds_per_hour \n",
+ "\n",
+ " # First Y-axis (ÏE)\n",
+ " ax1.plot(delta_t_values_min, rho_E, 'r-', label=r\"$\\rho_E$\", linewidth=2)\n",
+ " ax1.set_xlabel(r\"$\\delta t$ (in days)\", fontsize=12)\n",
+ " ax1.set_ylabel(r\"$\\rho_E$\", color=\"red\", fontsize=12)\n",
+ " ax1.set_ylim(0, max(rho_E) * 1.1) # Manually set limits to match your example\n",
+ " ax1.tick_params(axis='y', labelcolor=\"red\")\n",
+ "\n",
+ " # Second Y-axis (χE)\n",
+ " ax2 = ax1.twinx()\n",
+ " ax2.plot(delta_t_values_min, chi_E, 'b-', label=r\"$\\chi_E$\", linewidth=2)\n",
+ " ax2.set_ylabel(r\"$\\chi_E$\", color=\"blue\", fontsize=12)\n",
+ " ax2.set_ylim(0, max(chi_E) * 1.1) # Adjust range to match your figure\n",
+ " ax2.tick_params(axis='y', labelcolor=\"blue\")\n",
+ "\n",
+ " # Legends\n",
+ " ax1.legend(loc=\"upper right\", bbox_to_anchor=(1, 0.4))\n",
+ " ax2.legend(loc=\"upper right\", bbox_to_anchor=(1, 0.5))\n",
+ "\n",
+ " plt.title(\"Order Parameter ÏE and Susceptibility χE vs. δt\", fontsize=12)\n",
+ " plt.grid(True, linestyle=\"--\", alpha=0.6)\n",
+ " plt.show()\n",
+ "\n",
+ "def plot_order_parameters_PG_XG(delta_t_values, rho_G, chi_G):\n",
+ " \"\"\"\n",
+ " Plot order parameter ÏG and susceptibility χG in the same figure with dual axes.\n",
+ " \"\"\"\n",
+ "\n",
+ " fig, ax1 = plt.subplots(figsize=(7, 3)) # Adjust figure size\n",
+ " seconds_per_hour = 24*3600\n",
+ " # Convert δt from seconds to hours\n",
+ " delta_t_values_min = delta_t_values / seconds_per_hour \n",
+ "\n",
+ " # First Y-axis (ÏE)\n",
+ " ax1.plot(delta_t_values_min, rho_G, 'r-', label=r\"$\\rho_G$\", linewidth=2)\n",
+ " ax1.set_xlabel(r\"$\\delta t$ (in days)\", fontsize=12)\n",
+ " ax1.set_ylabel(r\"$\\rho_G$\", color=\"red\", fontsize=12)\n",
+ " ax1.set_ylim(0, max(rho_G) * 1.1) # Manually set limits to match your example\n",
+ " ax1.tick_params(axis='y', labelcolor=\"red\")\n",
+ "\n",
+ " # Second Y-axis (χE)\n",
+ " ax2 = ax1.twinx()\n",
+ " ax2.plot(delta_t_values_min, chi_G, 'b-', label=r\"$\\chi_G$\", linewidth=2)\n",
+ " ax2.set_ylabel(r\"$\\chi_G$\", color=\"blue\", fontsize=12)\n",
+ " ax2.set_ylim(0, max(chi_G) * 1.1) # Adjust range to match your figure\n",
+ " ax2.tick_params(axis='y', labelcolor=\"blue\")\n",
+ "\n",
+ " # Legends\n",
+ " ax1.legend(loc=\"upper right\", bbox_to_anchor=(1, 0.4))\n",
+ " ax2.legend(loc=\"upper right\", bbox_to_anchor=(1, 0.5))\n",
+ "\n",
+ "\n",
+ " plt.title(\"Order Parameter ÏG and Susceptibility χG vs. δt\", fontsize=12)\n",
+ " plt.grid(True, linestyle=\"--\", alpha=0.6)\n",
+ " plt.show()\n",
+ "\n",
+ "\n",
+ "plot_order_parameters_PE_XE(delta_t_values, rho_E, chi_E)\n",
+ "plot_order_parameters_PG_XG(delta_t_values, rho_G , chi_G)\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 355,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "<>:18: SyntaxWarning: invalid escape sequence '\\d'\n",
+ "<>:26: SyntaxWarning: invalid escape sequence '\\d'\n",
+ "<>:18: SyntaxWarning: invalid escape sequence '\\d'\n",
+ "<>:26: SyntaxWarning: invalid escape sequence '\\d'\n",
+ "C:\\Users\\userpc\\AppData\\Local\\Temp\\ipykernel_19476\\1682567917.py:18: SyntaxWarning: invalid escape sequence '\\d'\n",
+ " plt.scatter(sizes, probabilities, label=f\"$\\delta t$ = {dt} hours\",\n",
+ "C:\\Users\\userpc\\AppData\\Local\\Temp\\ipykernel_19476\\1682567917.py:26: SyntaxWarning: invalid escape sequence '\\d'\n",
+ " plt.title(\"Distribution of $P(S_E)$ for Selected $\\delta t$\")\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 600x500 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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XLGlqar7nljAMU6369/FtrSn8V3WYnj9/DmdnZ6xevVph/q5duzBlyhTMmzcPV65cgbOzM7y8vLhhOoZhmIbEpuEY5sPxtn8f/1Udpt69e+Pnn3/GgAEDFOb/9ttvCAgIwKhRo9CsWTOsW7cOmpqa2LRpEwDAwsKCN6KUmZkJCwsLpfWVlpaioKCAtzEMwzAM8/H5V3WYalJWVoa4uDh4enpyaSoqKvD09ERUVBQAoGPHjrh58yYyMzNRVFSEo0ePwsvLS2mZCxcuhJ6eHrexF+8yDMMwzMfpP9Nhevz4MSorK2FmZsZLNzMzQ05ODgBATU0Nv/76K7p27YrWrVtj6tSpNS7YnDVrFvLz87ntwYMHb/UcGIZh3raioiL4+fnBzMwMIpEIlpaWCA4OBgCcO3cOAoHgjR6VUF2Goi0mJoaLu379Oj755BNoaGjAysoKixcvlitr+fLlcHBwgFgshpWVFSZPnoySkhIuf+3atWjVqhX3fk9XV1ccPXq0zm3duXMnBAIB+vfvrzQmMDAQAoEAy5cvV5hfWlqK1q1bQyAQID4+nkufP3++wmugpaXFO37Pnj1wdHSEhoYGWrZsiYiIiHq35c6dO+jXrx+MjY2hq6uLzp074+zZs1x+eHi40s/k5SUrq1evhpOTE8RiMRwcHLB582a5NuTl5SEoKAgSiQQikQhNmzaVa3NNa4mBqjtMfXx8YG5uDi0tLbRt2xb79u1Tet4fio/qLjkA6Nu3L/r27VunWJFIBJFI9JZbxDDMx0wmI9zJLUR+cTn0NNXR1FQHKipvby1GeHg4Dh8+jMOHD8PKygp5eXlIT09vsPLd3NyQnZ3NS5s7dy5Onz6N9u3bA6h6c3zPnj3h6emJdevW4caNG/D394e+vj7Gjh0LANi+fTtmzpyJTZs2wc3NDXfu3IGfnx8EAgF+++03AECjRo3wyy+/oEmTJiAi/Pnnn+jXrx+uXr2K5s2b19jOtLQ0TJs2DZ988onSmAMHDuDSpUs1Lt347rvvYGFhgWvXrvHSp02bhsDAQF5a9+7d0aFDB27/4sWLGDp0KBYuXIjPP/8c27dvR//+/XHlyhW0aNGizm35/PPP0aRJE5w5cwZisRjLly/H559/jpSUFJibm2PIkCHo1asX7xg/Pz+UlJTA1NQUQFXnc9asWdiwYQM6dOiAy5cvIyAgAAYGBvD29gZQNZPTo0cPmJqaYu/evbC0tER6ejr09fW5cqvXEq9btw4uLi5Yvnw5vLy8kJSUxNU1cuRI5OXl4dChQzA2Nsb27dsxePBgxMbGok2bNkqv9XtH/1IA6MCBA9x+aWkpqaqq8tKIiEaOHEl9+/ZtkDrz8/MJAOXn5zdIeQzD/Du9ePGCEhMT6cWLF29UTmzaE/p2+xXqvfxv6r70LPVe/jd9u/0KxaY9aaCWyjtz5gwJhUKaOHEiHT9+nIqLi4mIKDU1lQDwNl9f3zeur6ysjExMTCg4OJhLW7NmDRkYGFBpaSmXNmPGDHJwcOD2g4KCqFu3bryypkyZQu7u7jXWZ2BgQBs3bqwxpqKigtzc3Gjjxo3k6+tL/fr1k4vJyMggS0tLunnzJkmlUlq2bJlcTEREBDk6OlJCQgIBoKtXryqtMz4+ngDQ33//zaUNHjyYPvvsM16ci4sLjRs3rs5tefTokVy5BQUFBIBOnjypsC25ubmkrq5Omzdv5tJcXV1p2rRpvLhXr/fatWvJ1taWysrKlJ5nx44dKSgoiNuvrKwkCwsLWrhwIZempaXFq5uIyNDQkDZs2KC03Lqo6feyIb6//zNTckKhEO3atcPp06e5NJlMhtOnT8PV1fWNyl69ejWaNWvG+8uAYRjmTcSlP8WCv27hZmY+dDXU0MhAE7oaakjIyseCv24hLv3pW6nX2dkZY8aMwZw5c2BsbAx/f38sW7YMVlZW3LRIUlISsrOzsWLFCgBASEgItLW1a9zu37+vsL5Dhw7hyZMnGDVqFJcWFRWFTz/9FEKhkEurHoV49uwZgKqRqri4OG465969e4iIiECfPn0U1lNZWYmdO3fi+fPntf6bHxwcDFNTU4wePVphvkwmg4+PD6ZPn650pOrhw4cICAjAli1b6vR4iY0bN6Jp06a8Ea2oqCjeulug6jpUr7utS1uMjIy46bPnz5+joqICf/zxB0xNTdGuXTuFbdm8eTM0NTUxcOBALq20tBQaGhq8OLFYjMuXL3O36R86dAiurq4ICgqCmZkZWrRogZCQEFRWVgKo21pioOqz3bVrF54+fQqZTIadO3eipKQEXbp0qe0yvlf/qim5oqIiJCcnc/upqamIj4+HoaEhrK2tMWXKFPj6+qJ9+/bo2LEjli9fjufPn/N+UV9HUFAQgoKCUFBQAD09vTc9DYZhPnIyGeHPi+nIKy5HY6P/e0q4lkgNmkJVpD8txuaL6WhjZdDg03OjRo3CuHHjYGxsDGNjY4SFhcHOzg4tW7aEoaEhAMDU1JQ3zRIYGIjBgwfXWK6yaavQ0FB4eXmhUaNGXFpOTg5sbGx4cdXrT3NycmBgYIBhw4bh8ePH6Ny5M4gIFRUVCAwMxPfff8877saNG3B1dUVJSQm0tbVx4MABNGvWTGk7IyMjERoayltv9KpFixZBTU0NEyZMUJhPRPDz80NgYCDat2+PtLQ0pWUBQElJCbZt24aZM2fy0nNycmpcd1uXtggEApw6dQr9+/eHjo4OVFRUYGpqimPHjsHAwEDhMaGhoRg2bBj3sEegqqO2ceNG9O/fH23btkVcXBw2btyI8vJyPH78GBKJBPfu3cOZM2cwfPhwREREIDk5Gd988w3Ky8sxb968GtcS3759m9vfvXs3hgwZAiMjI6ipqUFTUxMHDhyAvb19jdfxfftXdZhiY2PRtWtXbn/KlCkAAF9fX4SHh2PIkCF49OgRfvjhB+Tk5KB169Y4duyY3IfHMAzzPt3JLURybhFMdURyz44RCAQw0Rbhbm4R7uQWwtFct8HqzczMxKFDh7BmzRouTUNDAx07dsSRI0eULn42NDTkOlP1kZGRgePHj2P37t31PvbcuXMICQnBmjVr4OLiguTkZEycOBE//fQT5s6dy8U5ODggPj4e+fn52Lt3L3x9fXH+/HmFnabCwkL4+Phgw4YNMDY2VlhvXFwcVqxYgStXrih9rs/vv/+OwsJCzJo1q07ncuDAARQWFsLX17dO8fVpCxEhKCgIpqam+OeffyAWi7Fx40Z4e3sjJiZG7jUhUVFRuHXrFrZs2cJLnzt3LnJyctCpUycQEczMzODr64vFixdDRaVqMkomk8HU1BTr16+Hqqoq2rVrh8zMTCxZsgTz5s2r83nNnTsXeXl5OHXqFIyNjfG///0PgwcPxj///IOWLVvW6xq9U689mfcRWbVqFTk5OVHTpk3ZGiaGYd54DdOllMfUfelZ8g2NJv+wy3Kbb2g0dV96li6lPG7QdsfExBAAunfvHi+9X79+NHz4cDp79iwBoGfPnvHyFyxYQFpaWjVu6enpcvUFBweTiYmJ3JoXHx8fuXVDZ86cIQD09OlTIiLq3Lmz3JqaLVu2kFgspsrKSqXn2L17dxo7dqzCvKtXrxIAUlVV5TaBQEACgYBUVVUpOTmZli1bxu1XbwBIRUWFpFIpd71UVFTkYlRVVWnkyJFy9Xbr1o369+8vl25lZSW3NuqHH36gVq1aERHVqS2nTp0iFRUVue8le3t73rqhav7+/tS6dWul16+srIwePHhAFRUVtGbNGtLR0eGu96effkrdu3fnxUdERBAAKi0trdNa4uTkZAJAN2/e5MV0795dbu1Wfb3tNUz/qhGm94VNyTEM05D0NNUhVFNFSXkltETy/wyXlFdCqKYKPU31Bq3X3t4eAoEAkZGR3JRYWVkZoqOjMW7cOG5NUfWalGqvMyVHRAgLC8PIkSOhrs4/D1dXV8yePRvl5eVc3smTJ+Hg4MBNIxUXF3MjG9Wq3w9GRErbIZPJUFpaqjDP0dERN27c4KXNmTMHhYWFWLFiBaysrODj46NwXZGPjw+3vGPlypX4+eefufysrCx4eXlh165dcHFx4R2bmpqKs2fP4tChQ3LtcXV1xenTpzFp0iQu7eTJk9warLq0pbi4GADkrpWKigpkMhkvraioCLt378bChQsVXh8AUFdX56ZPd+7cic8//5wr293dHdu3b4dMJuPS7ty5A4lEwv3sVK8lrh6trF5LPH78+Brbq6qqKtfeD87r9+U+PuwuOYZhiN58hKmyUkbfbr9C3ZaepVGb+KNMozZFU7elZ2nC9itUWSlr4JYT+fn5kUQioYiICEpISKARI0aQlpYWZWRkUEZGBgkEAgoPD6fc3FwqLCx87XpOnTpFAOjWrVtyeXl5eWRmZkY+Pj508+ZN2rlzJ2lqatIff/zBxcybN490dHRox44ddO/ePTpx4gTZ2dnR4MGDuZiZM2fS+fPnKTU1la5fv04zZ84kgUBAJ06c4GJ8fHxo5syZStup7C65lym7S65a9R2Giu6SmzNnDllYWFBFRYVc3oULF0hNTY2WLl1Kt27donnz5pG6ujrduHGjzm159OgRGRkZ0RdffEHx8fGUlJRE06ZNI3V1dYqPj+cdu3HjRtLQ0JAbQSQiSkpKoi1bttCdO3coOjqahgwZQoaGhpSamsrF3L9/n3R0dGj8+PGUlJRER44cIVNTU/r555+5mJ07d5JIJKLw8HBKTEyksWPHkr6+PuXk5BBR1QiWvb09ffLJJxQdHU3Jycm0dOlSEggE9Ndffyk977p42yNMrMNUD6zDxDAMUcM8ViA27QkNWB1J3ZaepSHrLpJvaDQNWXeRui09SwNWR761RwsUFxfT1KlTSSqVkq6uLnl4eFBsbCyXHxwcTObm5iQQCN7osQJDhw4lNzc3pfnXrl2jzp07k0gkIktLS/rll194+eXl5TR//nyys7MjDQ0NsrKyom+++Yb3Ze/v709SqZSEQiGZmJhQ9+7deZ0lIiIPD48az+NtdpgqKyupUaNG9P333ys9dvfu3dS0aVMSCoXUvHnzWjsNitoSExNDPXv2JENDQ9LR0aFOnTpRRESE3LGurq40bNgwheUmJiZS69atSSwWk66uLvXr149u374tF3fx4kVycXEhkUhEtra2tGDBArnO4O+//07W1tYkFAqpY8eOdOnSJV7+nTt36IsvviBTU1PS1NSkVq1ayT1m4HW87Q6TgKiGsU2Gp3pKLj8/H7q6DbcQk2GYf5eSkhKkpqbCxsZG7lbs+ohLf4o/L6YjObcIZRVV03BNTLUx0k2KdtL6L7JmmI9ZTb+XDfH9zdYw1cHq1auxevVquXl9hmGYN9FOaog2Vgbv9EnfDMO8HtZhqgO26JthmLdFRUXQoI8OYBjm7fjPPOmbYRiGYRjmbWEdJoZhGIZhmFqwDhPDMAzDMEwtWIepDtjLdxmGYRjm48Y6THUQFBSExMRExMTEvO+mMAzDMAzzHrAOE8MwDMMwTC1Yh4lhGIZhGKYWrMPEMAzDMAxTC9ZhYhiG+YgUFRXBz88PZmZmEIlEsLS0RHBwMADg3LlzEAgEyMvLe6M6FixYADc3N2hqakJfX7/G2CdPnqBRo0Zy9WZnZ2PYsGFo2rQpVFRUMGnSJIXH5+XlISgoCBKJBCKRCE2bNkVERAQvJjMzEyNGjICRkRHEYjFatmyJ2NjYGtu1bds2ODs7Q1NTExKJBP7+/njy5AkvZvny5XBwcIBYLIaVlRUmT56MkpISLr+wsBCTJk2CVCqFWCyGm5tbjWthAwMDIRAIsHz5cl7606dPMXz4cOjq6kJfXx+jR49GUVERL2b37t1o3bo1NDU1IZVKsWTJEl6+n58fBAKB3Na8eXMuZv78+XL5jo6OvHJSUlIwYMAAmJiYQFdXF4MHD8bDhw+5/LS0NIwePRo2NjYQi8Wws7PDvHnzUFZWxsWUlJTAz88PLVu2hJqaGvr37y93LerS3neNdZjqgN0lxzDMWyOTAQ8TgLQLVf+Vyd5qdeHh4Th8+DAOHDiA5ORkHDt2DG3btm3QOsrKyjBo0CB8/fXXtcaOHj0arVq1kksvLS2FiYkJ5syZA2dnZ6X19OjRA2lpadi7dy+SkpKwYcMGWFpacjHPnj2Du7s71NXVcfToUSQmJuLXX3+FgYGB0jZduHABI0eOxOjRo5GQkIA9e/bg8uXLCAgI4GK2b9+OmTNnYt68ebh16xZCQ0Oxa9cufP/991zMmDFjcPLkSWzZsgU3btxAz5494enpiczMTLk6Dxw4gEuXLsHCwkIub/jw4UhISMDJkydx5MgR/P333xg7diyXf/ToUQwfPhyBgYG4efMm1qxZg2XLlmHVqlVczIoVK5Cdnc1tDx48gKGhIQYNGsSrq3nz5ry4yMhILu/58+fo2bMnBAIBzpw5gwsXLqCsrAze3t6Q/f+f29u3b0Mmk+GPP/5AQkICli1bhnXr1vGuS2VlJcRiMSZMmABPT0+Fn0Fd2/tOvf57gT8+DfG2Y4Zh/v1qeit6vaRfItrjT7TWnej39lX/3eNflf6WnDlzhoRCIU2cOJGOHz9OxcXFRESUmppKAHibr6/vG9UVFhZGenp6SvPXrFlDHh4edPr0aQJAz549Uxjn4eFBEydOlEtfu3Yt2draUllZmdI6ZsyYQZ07d65Xu5csWUK2tra8tJUrV5KlpSW3HxQURN26dePFTJkyhdzd3YmIqLi4mFRVVenIkSO8mLZt29Ls2bN5aRkZGWRpaUk3b94kqVRKy5Yt4/ISExMJAMXExHBpR48eJYFAQJmZmURENHToUBo4cKBcexs1akQymUzhOR44cIAEAgGlpaVxafPmzSNnZ2eF8UREx48fJxUVFd53YF5eHgkEAjp58qTS4xYvXkw2NjYK83x9falfv35Kj62pva+q6feyIb6/2QgTwzDM+3A/GjgxG8i+BmjoAfrSqv9mX69Kvx/9Vqp1dnbGmDFjMGfOHBgbG8Pf3x/Lli2DlZUV9u3bBwBISkpCdnY2VqxYAQAICQmBtrZ2jdv9+/fr1Y7ExEQEBwdj8+bNUFF5va+iQ4cOwdXVFUFBQTAzM0OLFi0QEhLCe1H6oUOH0L59ewwaNAimpqZo06YNNmzYUGO5rq6uePDgASIiIkBEePjwIfbu3Ys+ffpwMW5uboiLi8Ply5cBAPfu3UNERAQXU1FRgcrKSmhoaPDKFovFvFEbmUwGHx8fTJ8+XeF0U1RUFPT19dG+fXsuzdPTEyoqKoiOrvoZKS0tVVhPRkYG0tPTFZ5jaGgoPD09IZVKeel3796FhYUFbG1tMXz4cN7nWlpaCoFAAJFIxKVpaGhARUWFd06vys/Ph6GhodL8ulDW3neJvXyXYRjmXZPJgMvrgRd5gKEtIBBUpQu1AUMt4GkqELMBaNQBeM3OhDKjRo3CuHHjYGxsDGNjY4SFhcHOzg4tW7bkvtRMTU15a48CAwMxePDgGstVNJWkTGlpKYYOHYolS5bA2toa9+7de61zuXfvHs6cOYPhw4cjIiICycnJ+Oabb1BeXo558+ZxMWvXrsWUKVPw/fffIyYmBhMmTIBQKISvr6/Cct3d3bFt2zYMGTIEJSUlqKiogLe3N1avXs3FDBs2DI8fP0bnzp1BRKioqEBgYCA39aSjowNXV1f89NNPcHJygpmZGXbs2IGoqCjY29tz5SxatAhqamqYMGGCwrbk5OTA1NSUl6ampgZDQ0Pk5OQAALy8vDB58mT4+fmha9euSE5Oxq+//gqgai1Y48aNecdnZWXh6NGj2L59Oy/dxcUF4eHhcHBwQHZ2Nn788Ud88sknuHnzJnR0dNCpUydoaWlhxowZCAkJARFh5syZqKysRHZ2tsL2Jycn4/fff8fSpUsV5teFsva+a2yEiWEY5l17dAt4nATomP1fZ6maQADomAKPblfFNaDMzEwcOnSItyZIQ0MDHTt2xJEjR5QeZ2hoCHt7+xo3NbW6//09a9YsODk5YcSIEW90PjKZDKampli/fj3atWuHIUOGYPbs2Vi3bh0vpm3btggJCUGbNm0wduxYBAQE8GJelZiYiIkTJ+KHH35AXFwcjh07hrS0NAQGBnIx586dQ0hICNasWYMrV65g//79+Ouvv/DTTz9xMVu2bAERwdLSEiKRCCtXrsTQoUO5EbW4uDisWLEC4eHhELz6c1APAQEBGD9+PD7//HMIhUJ06tQJX331FQAoHL37888/oa+vL7fYunfv3hg0aBBatWoFLy8vREREIC8vD7t37wYAmJiYYM+ePTh8+DC0tbWhp6eHvLw8tG3bVmE9mZmZ6NWrFwYNGsRb/1Vfytr7rrEOE8MwzLv2Ig+oKAXUxIrz1cRV+S/yGrTa6lGAl+9YAgAiwuPHj5Ue19BTcmfOnMGePXugpqYGNTU1dO/eHQBgbGzMjQzVhUQiQdOmTaGqqsqlOTk5IScnhztHiUSCZs2a8Y5zcnKqsb0LFy6Eu7s7pk+fznUe1qxZg02bNnHXcO7cufDx8cGYMWPQsmVLDBgwACEhIVi4cCG3ANrOzg7nz59HUVERHjx4gMuXL6O8vBy2trYAgH/++Qe5ubmwtrbmrkV6ejqmTp3KjQqZm5sjNzeX176Kigo8ffoU5ubmAACBQIBFixahqKgI6enpyMnJQceOHQGAq6saEWHTpk3w8fGBUCis8frq6+ujadOmSE5O5tJ69uyJlJQU5Obm4vHjx9iyZQsyMzPl6snKykLXrl3h5uaG9evX11hPTerT3reNTckxDMO8a2J9QE0EVLyomoZ7VcWLqnyxfoNWa29vD4FAgMjISNjY2ACo6jxFR0dj3Lhx3BfSy2uAgIafktu3bx9evHjB7cfExMDf3x///PMP7Ozs6lyOu7s7tm/fDplMxo1w3LlzBxKJhDsXd3d3JCUl8Y67c+dOjWthiouL5UbMqjtlRMTFvDqq8mpMNS0tLWhpaeHZs2c4fvw4Fi9eDADw8fGRu0vMy8sLPj4+GDVqFICq9VR5eXmIi4tDu3btAFR1OGUyGVxcXOTqr75DcMeOHXB1dYWJiQkv5vz580hOTsbo0aOVnn+1oqIipKSkwMfHRy7P2NiYa0tubi769u3L5WVmZqJr165o164dwsLCXnuNWn3b+7axDhPDMMy7ZuIEGDtULfA21OJPyxEBhbmAhXNVXAPS19eHr68vZsyYAWNjY0ilUixcuBCFhYXclIlAIMCRI0fQp08fiMViaGtrw9DQsF6Ldu/fv4+nT5/i/v37qKysRHx8PICqDpu2trZcp6h6dMvJyYm3dqr6uKKiIjx69Ajx8fEQCoXciNHXX3+NVatWYeLEifj2229x9+5dhISE8NYDTZ48GW5ubggJCcHgwYNx+fJlrF+/njfqMWvWLGRmZmLz5s0AAG9vbwQEBGDt2rXw8vJCdnY2Jk2ahI4dO3IdQ29vb/z2229o06YNXFxckJycjLlz58Lb25vrOB0/fhxEBAcHByQnJ2P69OlwdHTkOkNGRkYwMjLiXQt1dXWYm5vDwcGBuya9evXiphHLy8sxfvx4fPXVV1xbHj9+jL1796JLly4oKSlBWFgY9uzZg/Pnz8t9NqGhoXBxcUGLFi3k8qZNmwZvb29IpVJkZWVh3rx5UFVVxdChQ7mYsLAwODk5wcTEBFFRUZg4cSImT57MtTczMxNdunSBVCrF0qVL8ejRI+7Y6hExoGras6ysDE+fPkVhYSH3Wbdu3brO7X3nXvv+uo/IqlWryMnJiZo2bcoeK8AwTMM8ViD9EtGG7kQr2xOF9SHa8mXVf1e2J9rg+dYeLVBcXExTp04lqVRKurq65OHhQbGxsVx+cHAwmZubk0AgeO3HCvj6+so9ogAAnT17VmH82bNnFT5WQFEZUqmUF3Px4kVycXEhkUhEtra2tGDBAqqoqODFHD58mFq0aEEikYgcHR1p/fr1cu318PDgpa1cuZKaNWtGYrGYJBIJDR8+nDIyMrj88vJymj9/PtnZ2ZGGhgZZWVnRN998wzuHXbt2ka2tLQmFQjI3N6egoCDKy8ur8dq9+lgBIqInT57Q0KFDSVtbm3R1dWnUqFFUWFjI5T969Ig6depEWlpapKmpSd27d6dLl+R/fvLy8kgsFsudf7UhQ4aQRCIhoVBIlpaWNGTIEEpOTubFzJgxg8zMzEhdXZ2aNGlCv/76K+/RBWFhYQo/t1e7G1KptNaY2tr7qrf9WAEB0Stjh4xSBQUF0NPTQ35+PnR1dd93cxiGeU9KSkqQmpoKGxsbudu56+V+dNXdco+T/v+aJhFg4gh0CACsXWo/nmEYTk2/lw3x/c2m5BiGYd4Xa5eqRwc8ulW1wFusXzUN18CPEmAY5s2xDhPDMMz7pKICmL2/92MxDFM37M8YhmEYhmGYWrAOE8MwDMMwTC1Yh4lhGIZhGKYWrMPEMAzDMAxTC9ZhYhiGYRiGqQXrMNXB6tWr0axZM3To0OF9N4VhGIZhmPeAdZjqICgoCImJiYiJiXnfTWEYhmEY5j1gHSaGYRiGYZhasA4TwzDMR6SoqAh+fn4wMzODSCSCpaUlgoODAQDnzp2DQCBAXl7ea5eflpaG0aNHw8bGBmKxGHZ2dpg3bx7Kysq4mJKSEvj5+aFly5ZQU1ND//795crZv38/evToARMTE+jq6sLV1RXHjx/nxcyfPx8CgYC3OTo68mJKSkoQFBQEIyMjaGtr48svv8TDhw9rPIf58+fD0dERWlpaMDAwgKenJ6Kjo3kxffv2hbW1NTQ0NCCRSODj44OsrCyF5SUnJ0NHR4f3YmEASEhIwJdffonGjRtDIBBg+fLlcsf+/fff8Pb2hoWFBQQCAf73v//V2PbAwEClZf31119wcXGBWCyGgYEB77o/efIEvXr1goWFBUQiEaysrDB+/HgUFBTwyti2bRucnZ2hqakJiUQCf39/PHnyhBezfPlyODg4QCwWw8rKCpMnT0ZJSQmXv3DhQnTo0AE6OjowNTVF//79kZSUxOWnpaXJfa7V2549e2o8/7eJdZgYhmHeIxnJcOfZHcTmxOLOszuQkeyt1hceHo7Dhw/jwIEDSE5OxrFjx9C2bdsGK//27duQyWT4448/kJCQgGXLlmHdunX4/vvvuZjKykqIxWJMmDABnp6eCsv5+++/0aNHD0RERCAuLg5du3aFt7c3rl69yotr3rw5srOzuS0yMpKXP3nyZBw+fBh79uzB+fPnkZWVhS+++KLGc2jatClWrVqFGzduIDIyEo0bN0bPnj3x6NEjLqZr167YvXs3kpKSsG/fPqSkpGDgwIFyZZWXl2Po0KH45JNP5PKKi4tha2uLX375Bebm5grb8vz5czg7O2P16tU1thkADhw4gEuXLsHCwkIub9++ffDx8cGoUaNw7do1XLhwAcOGDePyVVRU0K9fPxw6dAh37txBeHg4Tp06hcDAQC7mwoULGDlyJEaPHo2EhATs2bMHly9fRkBAABezfft2zJw5E/PmzcOtW7cQGhqKXbt28T7/8+fPIygoCJcuXcLJkydRXl6Onj174vnz5wAAKysr3meanZ2NH3/8Edra2ujdu3et1+Gtee3X9n6EGuJtxwzD/PvV9Fb0+rj68CpNPz+dBh4cSH0P9KWBBwfS9PPT6erDqw3TUAXOnDlDQqGQJk6cSMePH6fi4mIiIkpNTZV7c7yvr2+D1Ll48WKysbFRmOfr60v9+vWrUznNmjWjH3/8kdufN28eOTs7K43Py8sjdXV12rNnD5d269YtAkBRUVF1qpPo//7tP3XqlNKYgwcPkkAgoLKyMl76d999RyNGjKCwsDDS09NTerxUKqVly5bV2A4AdODAAYV5GRkZZGlpSTdv3pQrq7y8nCwtLWnjxo01lv+qFStWUKNGjbj9JUuWkK2tLS9m5cqVZGlpye0HBQVRt27deDFTpkwhd3d3pfXk5uYSADp//rzSmNatW5O/v3+N7a3p97Ihvr/ZCBPDMMx7EJ8bj6WxS3HryS3oCHVgqW0JHaEObj+5jaWxSxGfG/9W6nV2dsaYMWMwZ84cGBsbw9/fH8uWLYOVlRX27dsHAEhKSkJ2djZWrFgBAAgJCYG2tnaN2/3795XWmZ+fD0NDwzdqt0wmQ2FhoVw5d+/ehYWFBWxtbTF8+HBeO+Li4lBeXs4bxXJ0dIS1tTWioqLqVG9ZWRnWr18PPT09ODs7K4x5+vQptm3bBjc3N6irq3PpZ86cwZ49e+o0OvQmZDIZfHx8MH36dDRvLv9ewitXriAzMxMqKipo06YNJBIJevfujZs3byotMysrC/v374eHhweX5urqigcPHiAiIgJEhIcPH2Lv3r3o06cPF+Pm5oa4uDhcvnwZAHDv3j1ERETwYl6Vn58PAEp/RuLi4hAfH4/Ro0fXfCHeMvbyXYZhmHdMRjJsv70d+aX5sNaxhkAgAABoqmvCSs0KDwofYMftHWhl0goqgob9u3bUqFEYN24cjI2NYWxsjLCwMNjZ2aFly5bcF5apqSlvvU1gYCAGDx5cY7mKpoGAqvU7v//+O5YuXfpG7V66dCmKiop47XBxcUF4eDgcHBy4aZtPPvkEN2/ehI6ODnJyciAUCuXWDpmZmSEnJ6fG+o4cOYKvvvoKxcXFkEgkOHnyJIyNjXkxM2bMwKpVq1BcXIxOnTrhyJEjXN6TJ0/g5+eHrVu3QldX943OvTaLFi2CmpoaJkyYoDD/3r17AKrWZv32229o3Lgxfv31V3Tp0gV37tzhdVSGDh2KgwcP4sWLF/D29sbGjRu5PHd3d2zbtg1DhgxBSUkJKioq4O3tzesQDhs2DI8fP0bnzp1BRKioqEBgYCBvSu5lMpkMkyZNgru7O1q0aKEwJjQ0FE5OTnBzc6v3tWlIbISJYRjmHUvOS0ZqXipMxCZcZ6maQCCAsdgY9/LuITkvuUHrzczMxKFDh3gjJRoaGujYsSPvy/5VhoaGsLe3r3FTU5P/+zszMxO9evXCoEGDeOtc6mv79u348ccfsXv3bpiamnLpvXv3xqBBg9CqVSt4eXkhIiICeXl52L1792vXVa1r166Ij4/HxYsX0atXLwwePBi5ubm8mOnTp+Pq1as4ceIEVFVVMXLkSBARACAgIADDhg3Dp59++sZtqUlcXBxWrFiB8PBwuZ+lajJZ1bq42bNn48svv0S7du0QFhamcBH1smXLcOXKFRw8eBApKSmYMmUKl5eYmIiJEyfihx9+QFxcHI4dO4a0tDTeOqdz584hJCQEa9aswZUrV7B//3789ddf+OmnnxS2LSgoCDdv3sTOnTsV5r948QLbt29/76NLAOswMQzDvHMFpQUok5VBQ01DYb5ITYQyWRkKSgsU5r+u7OxsAODdsQYARITHjx8rPe51puSysrLQtWtXuLm5Yf369a/d5p07d2LMmDHYvXu30gXi1fT19dG0aVMkJ1d1NM3NzVFWViZ319/Dhw+VLrKupqWlBXt7e3Tq1AmhoaFQU1NDaGgoL8bY2BhNmzZFjx49sHPnTkRERODSpUsAqqbjli5dCjU1NaipqWH06NHIz8+HmpoaNm3aVM+roNw///yD3NxcWFtbc3Wlp6dj6tSpaNy4MQBAIpEAAJo1a8YdJxKJYGtrK/e5mZubw9HREX379sUff/yBtWvXcj83CxcuhLu7O6ZPn851UtesWYNNmzZxMXPnzoWPjw/GjBmDli1bYsCAAQgJCcHChQu5jlu18ePH48iRIzh79iwaNWqk8Pz27t2L4uJijBw5skGu15tgU3IMwzDvmK5IF0IVIUoqSqCprimXX1pRCqGKELqihp3Ksbe3h0AgQGRkJGxsbABUdZ6io6Mxbtw4CIVCAFV3sb2svlNymZmZ6Nq1KzeSoaLyen+b79ixA/7+/ti5cyc+++yzWuOLioqQkpICHx8fAEC7du2grq6O06dP48svvwRQtT7r/v37cHV1rVdbZDIZSktLa8wHwMVERUXxruPBgwexaNEiXLx4EZaWlvWquyY+Pj5yHUkvLy/ujjig6jqIRCIkJSWhc+fOAKru3ktLS4NUKq3zORUXF8uNJKqqqgIAN7JWXFws93m/GkNE+Pbbb3HgwAGcO3eO+1lUJDQ0FH379oWJiUkNV+HdYB0mhmGYd8xe3x42+ja4/eQ2rNSseFMpRITHLx7DycgJ9vr2DVqvvr4+fH19MWPGDBgbG0MqlWLhwoUoLCzkpswEAgGOHDmCPn36QCwWQ1tbG4aGhnVetJ2ZmYkuXbpAKpVi6dKlvFvxXx7VSUxMRFlZGZ4+fYrCwkLEx8cDAFq3bg2gahrO19cXK1asgIuLC7fmSCwWQ09PDwAwbdo0eHt7QyqVIisrC/PmzYOqqiqGDh0KANDT08Po0aMxZcoUGBoaQldXF99++y1cXV3RqVMnri2Ojo5YuHAhBgwYgOfPn2PBggXo27cvJBIJHj9+jNWrVyMzMxODBg0CAERHRyMmJgadO3eGgYEBUlJSMHfuXNjZ2XEdMScnJ951iY2NhYqKCm+dTllZGRITE7n/z8zMRHx8PLS1tWFvX/XZFxUVcSNmAJCamor4+HgYGhrC2toaRkZGMDIy4tWlrq4Oc3NzODg4AAB0dXURGBiIefPmwcrKClKpFEuWLAEA7pwiIiLw8OFDdOjQAdra2khISMD06dPh7u7OjVR5e3sjICAAa9euhZeXF7KzszFp0iR07NiR6zB7e3vjt99+Q5s2beDi4oLk5GTMnTsX3t7eXMcpKCgI27dvx8GDB7m1ZtWfl1gs5s4jOTkZf//9NyIiIvBBeO376z5C7LECDMMQNcxjBa4+vErD/xpO3vu9adTRURR4MpBGHR1F3vu9afhfw9/aowWKi4tp6tSpJJVKSVdXlzw8PCg2NpbLDw4OJnNzcxIIBK/1WIGwsDC5xxNUby+TSqU1xnh4eCjMf7lNQ4YMIYlEQkKhkCwtLWnIkCGUnJzMq+fFixf0zTffkIGBAWlqatKAAQMoOzubFwOAwsLCuPgBAwaQhYUFCYVCkkgk1LdvX7p8+TIXf/36deratSsZGhqSSCSixo0bU2BgIGVkZNR4XV59rICiRzkAIA8PDy7m7NmztV6HVyl6REFZWRlNnTqVTE1NSUdHhzw9PenmzZtc/pkzZ8jV1ZX09PRIQ0ODmjRpQjNmzKBnz57xylm5ciU1a9aMxGIxSSQSGj58OO+8y8vLaf78+WRnZ0caGhpkZWVF33zzDa8cZT8f1Z9BtVmzZpGVlRVVVlYqPdeXve3HCgj+f+OZOigoKICenh7y8/Pf+l0PDMN8uEpKSpCamgobGxtoaCheh1QX8bnx2H57O1LzUlEmK4NQRQhbfVsMdRyK1qatG67BDPMRqOn3siG+v9mUXB2sXr0aq1evlpvXZxiGeROtTVujlUkrJOclo6C0ALoiXdjr2zf4owQYhnlzrMNUB0FBQQgKCuJ6qAzDMA1FRaCCpgZN33czGIapBfszhmEYhmEYphasw8QwDMMwDFML1mFiGIZhGIapBeswMQzDMAzD1IJ1mBiGYRiGYWrBOkwMwzAMwzC1YB0mhmEYhmGYWrAOE8MwDMMwTC1Yh4lhGOYjUlRUBD8/P5iZmUEkEsHS0hLBwcEAgHPnzkEgECAvL++1y09LS8Po0aNhY2MDsVgMOzs7zJs3D2VlZby448ePo1OnTtDR0YGJiQm+/PJLpKWlcfmRkZFwd3eHkZERxGIxHB0dsWzZMl4Za9euRatWraCrqwtdXV24urri6NGjvJhx48bBzs4OYrEYJiYm6NevH27fvl3jOQgEAoVb9Qtrq6+Toi0mJqbO5wgA27Ztg7OzMzQ1NSGRSODv748nT55w+QkJCfjyyy/RuHFjCAQCLF++XK69hYWFmDRpEqRSKcRiMdzc3HjtAAA/Pz+5tvbq1YsXs2DBAri5uUFTUxP6+voKr01MTAy6d+8OfX19GBgYwMvLC9euXVMYm5ycDB0dHbmy9u/fj/bt20NfXx9aWlpo3bo1tmzZwouZP38+HB0doaWlBQMDA3h6eiI6OlphPe8K6zAxDMO8RySToSTpDopjYlCSdAckk73V+sLDw3H48GEcOHAAycnJOHbsGNq2bdtg5d++fRsymQx//PEHEhISsGzZMqxbtw7ff/89F5Oamop+/fqhW7duiI+Px/Hjx/H48WN88cUXXIyWlhbGjx+Pv//+G7du3cKcOXMwZ84crF+/notp1KgRfvnlF8TFxSE2NhbdunVDv379kJCQwMW0a9cOYWFhuHXrFo4fPw4iQs+ePWt81VV2djZv27RpEwQCAb788ksAgJubm1zMmDFjYGNjg/bt29f5HC9cuICRI0di9OjRSEhIwJ49e3D58mUEBARwMcXFxbC1tcUvv/wCc3Nzhe0dM2YMTp48iS1btuDGjRvo2bMnPD09kZmZyYvr1asXr807duzg5ZeVlWHQoEH4+uuvFdZTVFSEXr16wdraGtHR0YiMjISOjg68vLxQXl7Oiy0vL8fQoUPxySefyJVjaGiI2bNnIyoqCtevX8eoUaMwatQoHD9+nItp2rQpVq1ahRs3biAyMhKNGzdGz5498ejRI4Vteyde+7W9H6GGeNsxwzD/fjW9Fb0+nsddoYwpUymlf39K7tOHUvr3p4wpU+l53JUGaqm8M2fOkFAopIkTJ9Lx48epuLiYiIhSU1Pl3h7v6+vbIHUuXryYbGxsuP09e/aQmpoa7y30hw4dIoFAQGVlZUrLGTBgAI0YMaLGugwMDGjjxo1K869du0YAKDk5uc7t79evH3Xr1k1pfllZGZmYmFBwcDCXVpdzXLJkCdna2vLKWrlyJVlaWiqsRyqV0rJly3hpxcXFpKqqSkeOHOGlt23blmbPns3t+/r6Ur9+/Wo8z2phYWGkp6cnlx4TE0MA6P79+1za9evXCQDdvXuXF/vdd9/RiBEjlJb1qjZt2tCcOXOU5ld//546dUppTE2/lw3x/c1GmBiGYd6D4itXkbt4MUoSE6Gqowt1C0uo6uii5NYt5C5ejOIrV99Kvc7OzhgzZgzmzJkDY2Nj+Pv7Y9myZbCyssK+ffsAAElJScjOzsaKFSsAACEhIdDW1q5xu3//vtI68/PzYWhoyO23a9cOKioqCAsLQ2VlJfLz87FlyxZ4enpCXV1dYRlXr17FxYsX4eHhoTC/srISO3fuxPPnz+Hq6qow5vnz5wgLC4ONjQ2srKzqdL0ePnyIv/76C6NHj1Yac+jQITx58gSjRo2q1zm6urriwYMHiIiIABHh4cOH2Lt3L/r06VOntgFARUUFKisroaGhwUsXi8WIjIzkpZ07dw6mpqZwcHDA119/zZv6qwsHBwcYGRkhNDQUZWVlePHiBUJDQ+Hk5ITGjRtzcWfOnMGePXuwevXqWsskIpw+fRpJSUn49NNPFcaUlZVh/fr10NPTg7Ozc73a3KBeu6v1EWIjTAzDEL35CJOsspIypkyl5F69KX3sOLo/LpDb0seOo+TefShj6lSSvTQ60VD69u1Lf/31F7f/4sULsrCwoJMnT9LZs2cJAD179ox3zJMnT+ju3bs1buXl5Qrru3v3Lunq6tL69et56efOnSNTU1NSVVUlAOTq6ipXLxGRpaUlCYVCUlFR4Y3gVLt+/TppaWmRqqoq6enp8c6t2urVq0lLS4sAkIODQ71GlxYtWkQGBgY1fta9e/em3r17y6XX5Rx3795N2trapKamRgDI29tb6SibohEmIiJXV1fy8PCgzMxMqqiooC1btpCKigo1bdqUi9mxYwcdPHiQrl+/TgcOHCAnJyfq0KEDVVRUyJVX06jQjRs3yM7OjlRUVEhFRYUcHBwoLS2Ny3/8+DFZWVnR+fPnaywrLy+PtLS0SE1NjUQiEYWGhsrFHD58mLS0tEggEJCFhQVdvnxZYZuqsREmhmGY/5jSu8kovZcCNRMTCAQCXp5AIICakRFKU1JQeje5QevNzMzEoUOHeH+la2hooGPHjjhy5IjS4wwNDWFvb1/jpqamprC+Xr16YdCgQbx1OTk5OQgICICvry9iYmJw/vx5CIVCDBw4EETEK+Off/5BbGws1q1bh+XLl8utu3FwcEB8fDyio6Px9ddfw9fXF4mJibyY4cOH4+rVqzh//jyaNm2KwYMHo6SkpE7XbNOmTRg+fLjcCE61jIwMHD9+XG4Eqi7nmJiYiIkTJ+KHH35AXFwcjh07hrS0NAQGBtapbdW2bNkCIoKlpSVEIhFWrlyJoUOHQkXl/77iv/rqK/Tt2xctW7ZE//79ceTIEcTExODcuXN1rufFixcYPXo03N3dcenSJVy4cAEtWrTAZ599hhcvXgAAAgICMGzYMKWjRdV0dHQQHx+PmJgYLFiwAFOmTJFrS9euXREfH4+LFy+iV69eGDx4MHJzc+vc3gb32l2tjxAbYWIYhujNR5ieX75MyX36UPqYAN7oEjfKNCaAkvv0oee1/EVdX9VrUO7du8dL79evHw0fPlzpCNOCBQtIS0urxi09PZ13TGZmJjVp0oR8fHx463iIiObMmUPt27fnpT148IAAUFRUlNL2//TTT7xRE0W6d+9OY8eOVZpfWlpKmpqatH379hrLISL6+++/CQDFx8crjQkODiYTExO5UaG6nOOIESNo4MCBvJh//vmHAFBWVpZcXcpGmKoVFRVxxw0ePJj69OlT4/kZGxvTunXr5NKVjQpt3LiRTE1NeZ9n9fXcsWMHERHp6emRqqoqt6moqBAAUlVVVTiKVG306NHUs2fPGttrb29PISEhSvPf9giT/J8E/3EDBgzAuXPn0L17d+zdu/d9N4dhmI+Qiq4eBEIhqLQUAk1NuXwqKYFAKISKrl6D1mtvbw+BQIDIyEjY2NgAqFofEh0djXHjxkEoFAKA3B1kgYGBGDx4cI1lW1hYcP+fmZmJrl27cneovTzSAVTd+fVqmqqqKgBAVsNdgjKZDKWlpTW2o7YYIgIR1VoOAISGhqJdu3ZK180QEcLCwjBy5Ei5tVd1Ocfi4mK5kbnqGHplpK0utLS0oKWlhWfPnuH48eNYvHix0tiMjAw8efIEEomkzuVXn9PLo6LV+9XnFBUVxfv5OXjwIBYtWoSLFy/C0tJSadkN8dm+da/d1fqXOnv2LB06dIi+/PLLeh/LRpgYhiFqwDVMvfu88zVMfn5+JJFIKCIighISEmjEiBGkpaVFGRkZlJGRQQKBgMLDwyk3N5cKCwvrXX5GRgbZ29tT9+7dKSMjg7Kzs7mt2unTp0kgENCPP/5Id+7cobi4OPLy8iKpVMrdtbdq1So6dOgQ3blzh+7cuUMbN24kHR0d3p1fM2fOpPPnz1Nqaipdv36dZs6cSQKBgE6cOEFERCkpKRQSEkKxsbGUnp5OFy5cIG9vbzI0NKSHDx9y5Tg4OND+/ft555Gfn0+ampq0du1aped66tQpAkC3bt2Sy6vLOYaFhZGamhqtWbOGUlJSKDIyktq3b08dO3bkyiktLaWrV6/S1atXSSKR0LRp0+jq1au8u9KOHTtGR48epXv37tGJEyfI2dmZXFxcuFGvwsJCmjZtGkVFRVFqaiqdOnWK2rZtS02aNKGSkhKunPT0dLp69Sr9+OOPpK2tzdVb/XNw69YtEolE9PXXX1NiYiLdvHmTRowYQXp6egpHxKrP8dXRqpCQEDpx4gSlpKRQYmIiLV26lNTU1GjDhg1EVDVSNmvWLIqKiqK0tDSKjY2lUaNGkUgkops3byr9PN72CNNH12Eiquo0sQ4TwzCvqyEeK/A87gqlDvmKknv3obQRPpQ+JoDSRvhQcu8+lDrkq7f2aIHi4mKaOnUqSaVS0tXVJQ8PD4qNjeXyg4ODydzcnAQCwWs9ViAsLEzu8QTV28t27NhBbdq0IS0tLTIxMaG+ffvyOh4rV66k5s2bk6amJunq6lKbNm1ozZo1vOkgf39/kkqlJBQKycTEhLp37851loiqpgV79+5NpqampK6uTo0aNaJhw4bR7du3eW0BQGFhYby0P/74g8RiMeXl5Sk916FDh5Kbm5vS/NrOsfo8mzVrRmKxmCQSCQ0fPpwyMjK4fEWPewBAHh4eXMyuXbvI1taWhEIhmZubU1BQEK/dxcXF1LNnTzIxMSF1dXWSSqUUEBBAOTk5vLb4+voqrOvs2bNczIkTJ8jd3Z309PTIwMCAunXrVuM0qqIO0+zZs8ne3p40NDTIwMCAXF1daefOnVz+ixcvaMCAAWRhYUFCoZAkEgn17dv3vS/6FhC9xrjfW/L3339jyZIliIuLQ3Z2Ng4cOID+/fvzYlavXo0lS5YgJycHzs7O+P3339GxY8d61XPu3DmsWrWq3lNyBQUF0NPTQ35+PnR1det1LMMw/x0lJSVITU2FjY2N0sXAdVF85SqebduG0nspoLIyCIRCiOzsYDBsODTbtmnAFjPMf19Nv5cN8f39Qa1hev78OZydneHv7897Gmq1Xbt2YcqUKVi3bh1cXFywfPlyeHl5ISkpCaampgCA1q1bo6KiQu7YEydO8ObYGYZh3jfNtm0gbu2M0rvJkBXkQ0VXD6Im9hCosBuYGeZD80F1mHr37o3evXsrzf/tt98QEBDAPRxs3bp1+Ouvv7Bp0ybMnDkTABAfH99g7SktLeUtMCsoKGiwshmGYQBAoKICDYem77sZDMPU4l/zZ0xZWRni4uLg6enJpamoqMDT0xNRUVFvpc6FCxdCT0+P2+r6ZFiGYRiGYf5b/jUdpsePH6OyshJmZma8dDMzM+Tk5NS5HE9PTwwaNAgRERFo1KhRjZ2tWbNmIT8/n9sePHjw2u1nGIZhGObf64OaknsXTp06VedYkUgEkUj0FlvDMAzDMMy/wb9mhMnY2Biqqqp4+PAhL/3hw4cwNzd/T61iGIZhGOZj8K/pMAmFQrRr1w6nT5/m0mQyGU6fPq30zdQNZfXq1WjWrBk6dOjwVuthGIZhGObD9EFNyRUVFSE5+f9eNpmamor4+HgYGhrC2toaU6ZMga+vL9q3b4+OHTti+fLleP78OXfX3NsSFBSEoKAg7jkODMMwDMN8XD6oDlNsbCy6du3K7U+ZMgUA4Ovri/DwcAwZMgSPHj3CDz/8gJycHLRu3RrHjh2TWwjOMAzDMAzTkD6oDlOXLl1qfeHg+PHjMX78+HfUIoZhGIZhmH/RGqb3ia1hYhjmv6KoqAh+fn4wMzODSCSCpaUlgoODAVS9NkogECAvL++N6ujbty+sra2hoaEBiUQCHx8fZGVlcflpaWkQCARy26VLlxSWt3PnTggEArlXZe3fvx89e/aEkZERBAKB3IOLldUjEAiwZ88ehXWVl5djxowZaNmyJbS0tGBhYYGRI0fKtX/06NGwsbGBWCyGnZ0d5s2bh7KyMi4mKSkJXbt2hZmZGTQ0NGBra4s5c+agvLyciwkPD5dr18uv9KhLW15WWlqK1q1by12LurSlvLwcwcHBsLOzg4aGBpydnXHs2DFe+ZWVlZg7dy7vvH/66SfeQAcR4YcffoBEIoFYLIanpyfu3r1br/Z+qD6oEaYPFVvDxDDM20IywtPs5ygtLodIUx2GEi0IVARvrb7w8HAcPnwYhw8fhpWVFfLy8pCent6gdXTt2hXff/89JBIJMjMzMW3aNAwcOBAXL17kxZ06dQrNmzfn9o2MjOTKSktLw7Rp0/DJJ5/I5T1//hydO3fG4MGDERAQIJdvZWWF7OxsXtr69euxZMkSpW+VKC4uxpUrVzB37lw4Ozvj2bNnmDhxIvr27YvY2FgAwO3btyGTyfDHH3/A3t4eN2/eREBAAJ4/f46lS5cCANTV1TFy5Ei0bdsW+vr6uHbtGgICAiCTyRASEsLVp6uri6SkJG5fIBDUqy0v++6772BhYYFr167x0uvSljlz5mDr1q3YsGEDHB0dcfz4cQwYMAAXL15EmzZV7zVctGgR1q5diz///BPNmzdHbGwsRo0aBT09PUyYMAEAsHjxYqxcuRJ//vknbGxsMHfuXHh5eSExMVHu/W7K2vvBeu3X9n6EGuJtxwzD/PvV9Fb0+shKzqPjG2/Szp+iadu8KNr5UzQd33iTspLzaj/4NZ05c4aEQiFNnDiRjh8/TsXFxURElJqaKveWel9f3wap8+DBgyQQCKisrIxX19WrV2s8rqKigtzc3Gjjxo3k6+tL/fr1UxhX1/KIiFq3bk3+/v71av/ly5cJAKWnpyuNWbx4MdnY2NRYzuTJk6lz587cflhYGOnp6TVIWyIiIsjR0ZESEhLqdC1ebYtEIqFVq1bxYr744gsaPnw4t//ZZ5/JXbuXY2QyGZmbm9OSJUu4/Ly8PBKJRLRjx443am9d1PR72RDf32xKjmEY5j3ITsnHhX138eh+IUSaatAx0oBIUw2PHhTiwr67yE7Jfyv1Ojs7Y8yYMZgzZw6MjY3h7++PZcuWwcrKCvv27QNQNYWTnZ2NFStWAABCQkKgra1d43b//n2F9T19+hTbtm2Dm5sb1NXVeXl9+/aFqakpOnfujEOHDskdGxwcDFNTU4wePbpBzj0uLg7x8fH1Li8/Px8CgQD6+vo1xhgaGirNT05OxrFjx+Dh4cFLLyoqglQqhZWVFfr164eEhIR6t+Xhw4cICAjAli1boKmpWev5KGpLaWmp3AiQWCxGZGQkt+/m5obTp0/jzp07AIBr164hMjKSG61LTU1FTk4O7xVmenp6cHFx4b1Vo77t/VCwKbk6WL16NVavXo3Kysr33RSGYf4DSEa4cS4Dpc8roGeiwU3DqIhUoWesgfzHJbhxLgPmNroNPj03atQojBs3DsbGxjA2NkZYWBjs7OzQsmVL7gvf1NSU94UcGBiIwYMH11iuhYUFb3/GjBlYtWoViouL0alTJxw5coTL09bWxq+//gp3d3eoqKhg37596N+/P/73v/+hb9++AIDIyEiEhoY26NqW0NBQODk5wc3Nrc7HlJSUYMaMGRg6dCh0dXUVxiQnJ+P333/npuNe5ubmhitXrqC0tBRjx47l1osBgIODAzZt2oRWrVohPz8fS5cuhZubGxISEtCoUaM6tYWI4Ofnh8DAQLRv3x5paWlKz6Wmtnh5eeG3337Dp59+Cjs7O5w+fRr79+/nfe/NnDkTBQUFcHR0hKqqKiorK7FgwQIMHz4cALjXlNX0CrP6tPeD8/qDXx8fNiXHMAzRm0/JPc4opJ0/RdOBX+PoyKp4uW3/0jja+VM0Pc4obNB2Z2RkEADKyMjgpffv358mTpxIZ8+eJQD07NmzN67r0aNHlJSURCdOnCB3d3fq06cPyWQypfE+Pj7cFFFBQQE1btyYIiIiuPw3nZIrLi4mPT09Wrp0aZ3PoaysjLy9valNmzZK/93PyMggOzs7Gj16tML8+/fvU0JCAm3fvp0sLS1p0aJFNdZnZ2dHc+bMqXNbVqxYQe7u7lRRUUFENV+LmtqSm5tL/fr1IxUVFVJVVaWmTZvSN998QxoaGlzMjh07qFGjRrRjxw66fv06bd68mQwNDSk8PJyIiC5cuEAAKCsri1fvoEGDaPDgwfVub3297Sk5NsLEMAzzjpUWl6OyQgZVdcWrItSEKnhRKENpcbnC/NdVvQD65bu5gKq/+h8/fqz0uJCQEN5CZUUSExNhbW3N7VePYDVt2hROTk6wsrLCpUuXlL6ZwcXFBSdPngQApKSkIC0tDd7e3ly+TCYDAKipqSEpKQl2dnY1tudVe/fuRXFxMUaOHFmn+PLycgwePBjp6ek4c+aMwtGlrKwsdO3aFW5ubli/fr3CcqysrAAAzZo1Q2VlJcaOHYupU6dCVVVVLlZdXR1t2rThPcC5tracOXMGUVFRcu89bd++PYYPH44///yzTm0xMTHB//73P5SUlODJkyewsLDAzJkzYWtryx0/ffp0zJw5E1999RUAoGXLlkhPT8fChQvh6+vLvabs4cOHkEgk3HEPHz5E69at693eDw3rMDEMw7xjIk11qKqpoLJcBhWR/BdnRZkMqmoqEGmqKzj69dnb20MgECAyMhI2NjYAqjpP0dHRGDduHIRCIQDILT94nSm5l1V3dkpLS5XGxMfHc1+yjo6OuHHjBi9/zpw5KCwsxIoVK7gv/voIDQ1F3759YWJiUmtsdQfl7t27OHv2rMK79zIzM9G1a1e0a9cOYWFhUFGpfUmwTCZDeXk5ZDKZwg5TZWUlbty4gT59+tS5LStXrsTPP//M7WdlZcHLywu7du2Ci4tLvduioaEBS0tLlJeXY9++fbzPvbi4WO48VVVVuc/XxsYG5ubmOH36NNdBKigoQHR0NL7++us3au+HgHWYGIZh3jFDiRYMJFp49KAQesYavFvJiQjFhWUwsdKBoUSrQevV19eHr68vZsyYAWNjY0ilUixcuBCFhYXcbfkCgQBHjhxBnz59IBaLoa2tDUNDwxoXNL8sOjoaMTEx6Ny5MwwMDJCSkoK5c+fCzs6OG136888/IRQKudvV9+/fj02bNmHjxo0Aqr60W7RoIdd2ALz0p0+f4v79+9xziapvzzc3N+e9lD05ORl///03IiIiFLbZ0dERCxcuxIABA1BeXo6BAwfiypUrOHLkCCorK7n1N4aGhhAKhcjMzESXLl0glUqxdOlSPHr0iCurut5t27ZBXV0dLVu2hEgkQmxsLGbNmoUhQ4Zwi9+Dg4PRqVMn2NvbIy8vD0uWLEF6ejrGjBkDAHVqy8ujekDV+jAAsLOz49ZB1aUt0dHRyMzMROvWrZGZmYn58+dDJpPhu+++48r29vbGggULYG1tjebNm+Pq1av47bff4O/vD6DqZ2fSpEn4+eef0aRJE+6xAhYWFtwztOrS3g/W688WfjxWrVpFTk5O1LRpU7aGiWGYBnmsQFZyHu1ZFENb50XR/qVxdGjlVdq/NI62zouivYti3tqjBYqLi2nq1KkklUpJV1eXPDw8KDY2lssPDg4mc3NzEggEr/VYgevXr1PXrl3J0NCQRCIRNW7cmAIDA3nrpsLDw8nJyYk0NTVJV1eXOnbsSHv27KmxXEVrmMLCwuQehQCA5s2bx4ubNWsWWVlZUWVlpcKyAVBYWBgRKX68QvV29uzZGut9+St1586d1LZtW9LW1iYtLS1q1qwZhYSE8H5mJk2aRNbW1iQUCsnMzIz69OlDV65c4fLr0pZXKVoTVJe2nDt3jpycnEgkEpGRkRH5+PhQZmYmr+yCggKaOHEiWVtbk4aGBtna2tLs2bOptLSUi5HJZDR37lwyMzMjkUhE3bt3p6SkJIVtVdbe1/W21zAJiGp5FwnDqX5wZX5+vtK7JRiG+e8rKSlBamoqbGxs5G7Fro/slHzcOJeBZ9nPq9Y0qanAQKKFll0aQWLHHpLLMPVR0+9lQ3x/syk5hmGY90RipwdzG913+qRvhmFeD+swMQzDvEcCFQGMLLXfdzMYhqkFe9I3wzAMwzBMLViHiWEYhmEYphasw1QHq1evRrNmzdChQ4f33RSGYRiGYd4D1mGqg6CgICQmJiImJuZ9N4VhGIZhmPeAdZgYhmEYhmFqwTpMDMMwDMMwtWAdJoZhGIZhmFqwDhPDMAzDMEwtWIeJYRjmI1JUVAQ/Pz+YmZlBJBLB0tISwcHBAIBz585BIBAgLy+vQeoqLS1F69atIRAIEB8fz6WfO3cO/fr1g0QigZaWFlq3bo1t27bxjg0PD4dAIOBtr77ugojwww8/QCKRQCwWw9PTE3fv3uXFPH36FMOHD4euri709fUxevRoFBUV1dr2qKgodOvWDVpaWtDV1cWnn36KFy9e8GL++usvuLi4QCwWw8DAgHvBbLWYmBh0794d+vr6MDAwgJeXF65du1av67BhwwZ88sknMDAwgIGBATw9PXH58mVezMOHD+Hn5wcLCwtoamqiV69evOvw9OlTfPvtt3BwcIBYLIa1tTUmTJiA/Pz8Gq939ZabmwsA8PPzU5jfvHlzXnsyMzMxYsQIGBkZQSwWo2XLloiNjeXyFZXTq1evWj+T9411mBiGYd4jksnw6H4aMhJv4tH9NJBM9lbrCw8Px+HDh3HgwAEkJyfj2LFjaNu27Vup67vvvoOFhYVc+sWLF9GqVSvs27cP169fx6hRozBy5EgcOXKEF6erq4vs7GxuS09P5+UvXrwYK1euxLp16xAdHQ0tLS14eXmhpKSEixk+fDgSEhJw8uRJHDlyBH///TfGjh1bY7ujoqLQq1cv9OzZE5cvX0ZMTAzGjx8PFZX/+8rct28ffHx8MGrUKFy7dg0XLlzAsGHDuPyioiL06tUL1tbWiI6ORmRkJHR0dODl5YXy8vI6X4dz585h6NChOHv2LKKiomBlZYWePXsiMzMTQFWnsX///rh37x4OHjyIq1evQiqVwtPTE8+fPwcAZGVlISsrC0uXLsXNmzcRHh6OY8eOYfTo0Vw9Q4YM4V3r7OxseHl5wcPDA6ampgCAFStW8PIfPHgAQ0NDDBo0iCvn2bNncHd3h7q6Oo4ePYrExET8+uuvMDAw4F3jXr168crasWNHjZ/JB+G1X9v7EVm1ahU5OTlR06ZN3/htxwzD/PvV9Fb0+si4nUhHViyiP7/7ljZNDqQ/v/uWjqxYRBm3ExuopfLOnDlDQqGQJk6cSMePH6fi4mIi+r+3xr+8+fr6vnY9ERER5OjoSAkJCXV6G32fPn1o1KhR3H5YWBjp6ekpjZfJZGRubk5Llizh0vLy8kgkEtGOHTuIiCgxMZEAUExMDBdz9OhREggElJmZqbRsFxcXmjNnjtL88vJysrS0pI0bNyqNiYmJIQB0//59Lu369esEgO7evav0uFevw6sqKipIR0eH/vzzTyIiSkpKIgB08+ZNLqayspJMTExow4YNSsvZvXs3CYVCKi8vV5ifm5tL6urqtHnzZqVlHDhwgAQCAaWlpXFpM2bMoM6dOys9hojI19eX+vXrV2PM66jp9zI/P/+Nv7/ZCFMdsOcwMQzT0DKTbuH8llA8TL0HkaYmdE1MIdLUxMPUezi/JRSZSbfeSr3Ozs4YM2YM5syZA2NjY/j7+2PZsmWwsrLCvn37AABJSUnIzs7GihUrAAAhISHQ1taucbt//z5Xx8OHDxEQEIAtW7ZAU1OzTu3Kz8+HoaEhL62oqAhSqRRWVlbo168fEhISuLzU1FTk5OTA09OTS9PT04OLiwuioqIAVI0U6evro3379lyMp6cnVFRUEB0drbAdubm5iI6OhqmpKdzc3GBmZgYPDw9ERkZyMVeuXEFmZiZUVFTQpk0bSCQS9O7dGzdv3uRiHBwcYGRkhNDQUJSVleHFixcIDQ2Fk5MTGjduXK/r8LLi4mKUl5dzMaWlpQDAm65UUVGBSCTitVlRPbq6ulBTU/xK2c2bN0NTUxMDBw5UWkZoaCg8PT0hlUq5tEOHDqF9+/YYNGgQTE1N0aZNG2zYsEHu2HPnzsHU1BQODg74+uuv8eTJE6X1fChYh4lhGOYdI5kM8ccPo+R5EfTNzCHUEENFRQVCDTH0zcxR8rwI8cePvJXpuVGjRuGzzz6DsbEx2rZti7CwMCxduhRnz57lvoRNTU1hbm4OPT09AEBgYCDi4+Nr3Kqn3ogIfn5+CAwM5HVUarJ7927ExMRg1KhRXJqDgwM2bdqEgwcPYuvWrZDJZHBzc0NGRgYAICcnBwBgZmbGK8vMzIzLy8nJ4aaTqqmpqcHQ0JCLedW9e/cAAPPnz0dAQAA3Zdm9e3duXdDLMXPmzMGRI0dgYGCALl264OnTpwAAHR0dnDt3Dlu3boVYLIa2tjaOHTuGo0ePKu2kKLoOr5oxYwYsLCy4jqKjoyOsra0xa9YsPHv2DGVlZVi0aBEyMjKQnZ2tsIzHjx/jp59+qnFqMjQ0FMOGDYNYLFaYn5WVhaNHj2LMmDG89Hv37mHt2rVo0qQJjh8/jq+//hoTJkzAn3/+ycX06tULmzdvxunTp7Fo0SKcP38evXv3RmVlpdL2fAgUf2oMwzDMW/M44z6eZGZAS18fAoGAlycQCKClr48nmQ/wOOM+TKwbN1i9mZmZOHToENasWcOlaWhooGPHjjhy5IjcouVqhoaGNY56vOz3339HYWEhZs2aVaf4s2fPYtSoUdiwYQNv8bCrqytcXV25fTc3Nzg5OeGPP/7ATz/9VKeyX4fs/3dSx40bx3Vc2rRpg9OnT2PTpk1YuHAhFzN79mx8+eWXAICwsDA0atQIe/bswbhx4/DixQuMHj0a7u7u2LFjByorK7F06VJ89tlniImJkeuIKLsOL/vll1+wc+dOnDt3jhtRUldXx/79+zF69GgYGhpCVVUVnp6e6N27N4hIroyCggJ89tlnaNasGebPn6+wnqioKNy6dQtbtmxRep3+/PNP6Ovry/3MyGQytG/fHiEhIdy1u3nzJtatWwdfX18AwFdffcXFt2zZEq1atYKdnR3OnTuH7t27K63zfWMjTAzDMO9YaVERKsvLoSYUKcxXE4pQWV6O0jrczVUf1SMOZWVlvHQiwuPHj5UeV58puTNnziAqKgoikQhqamqwt7cHALRv3577wqx2/vx5eHt7Y9myZRg5cmSNbVdXV0ebNm2QnJwMADA3NwdQNf33socPH3J55ubm3B1e1SoqKvD06VMu5lUSiQQA0KxZM166k5MTd46KYkQiEWxtbbmY7du3Iy0tDWFhYejQoQM6deqE7du3IzU1FQcPHqz3dVi6dCl++eUXnDhxAq1ateLltWvXDvHx8cjLy0N2djaOHTuGJ0+ewNbWlhdXWFiIXr16QUdHBwcOHIC6urrCujZu3IjWrVujXbt2CvOJCJs2bYKPjw+EQiEvTyKR1HjtFLG1tYWxsTH32X6oWIeJYRjmHRNpa0NVXR0VZaUK8yvKSqGqrg6RtnaD1mtvbw+BQMBb21JWVobo6GjY29tzX36vTo3UZ0pu5cqVuHbtGpceEREBANi1axcWLFjAlXnu3Dl89tlnWLRoUa13rVW36caNG1xnxcbGBubm5jh9+jQXU1BQgOjoaG5kytXVFXl5eYiLi+Nizpw5A5lMBhcXF4X1NG7cGBYWFkhKSuKl37lzh1ur065dO4hEIl5MeXk50tLSuJji4mKoqKjwRhCr92UvTbXW5TosXrwYP/30E44dO1bjNKeenh5MTExw9+5dxMbGol+/frxr07NnTwiFQhw6dEjuEQ3VioqKsHv3bt4ddK86f/48kpOTFca4u7vXeO0UycjIwJMnT7jP9oP12svFP0INscqeYZh/vze9S05WWUlHViyi0EnjaN/CebT/l/nctm/hPAqdNI6OrFhMssrKBm45kZ+fH0kkEoqIiKCEhAQaMWIEaWlpUUZGBmVkZJBAIKDw8HDKzc2lwsLCN66v+u67l++SO3PmDGlqatKsWbMoOzub2548ecLF/Pjjj3T8+HFKSUmhuLg4+uqrr0hDQ4MSEhK4mF9++YX09fXp4MGDdP36derXrx/Z2NjwPpdevXpRmzZtKDo6miIjI6lJkyY0dOhQLj8jI4McHBwoOjqaS1u2bBnp6urSnj176O7duzRnzhzS0NCg5ORkLmbixIlkaWlJx48fp9u3b9Po0aPJ1NSUnj59SkREt27dIpFIRF9//TUlJibSzZs3acSIEaSnp0dZWVl1vg6//PILCYVC2rt3Ly/m5c9m9+7ddPbsWUpJSaH//e9/JJVK6YsvvuDy8/PzycXFhVq2bEnJycm8cioqKnif18aNG0lDQ4OePXum9DMdMWIEubi4KMy7fPkyqamp0YIFC+ju3bu0bds20tTUpK1btxIRUWFhIU2bNo2ioqIoNTWVTp06RW3btqUmTZpQSUmJ0jrr4m3fJcc6TPXAOkwMwxA1zGMFMm4n0rbZUyl00jjaOX8G7Q35gXbOn0Ghk8bRttlT39qjBYqLi2nq1KkklUpJV1eXPDw8KDY2lssPDg4mc3NzEggEb/RYgWqKOky+vr5yjzAAQB4eHlzMpEmTyNramoRCIZmZmVGfPn3oypUrvLJlMhnNnTuXzMzMSCQSUffu3SkpKYkX8+TJExo6dChpa2uTrq4ujRo1itfZqG7f2bNnecctXLiQGjVqRJqamuTq6kr//PMPL7+srIymTp1KpqampKOjQ56enrxb+4mITpw4Qe7u7qSnp0cGBgbUrVs3ioqKqtd1kEqlCmPmzZvHxaxYsYIaNWpE6urqZG1tTXPmzKHS0lIu/+zZswrLAECpqam8Nru6utKwYcNImby8PBKLxbR+/XqlMYcPH6YWLVqQSCQiR0dHXmxxcTH17NmTTExMSF1dnaRSKQUEBFBOTo7S8urqbXeYBEQKVoUxChUUFEBPT4+7HZNhmI9TSUkJUlNTYWNjo3Rqoy4yk24h/vhhPMnMQGV5OVTV1WFkaYXWXp/D0sGpAVvMMP99Nf1eNsT3N7tLrg5Wr16N1atXf/C3PDIM8+9i6eAEiyYOeJxxH6VFRRBpa8O4kTUEKmx5KcN8aFiHqQ6CgoIQFBTE9VAZhmEaikBFpUEfHcAwzNvB/oxhGIZhGIapBeswMQzDMAzD1IJ1mBiGYRiGYWrBOkwMwzAMwzC1YB0mhmEYhmGYWrAOE8MwDMMwTC1Yh4lhGIZhGKYWrMPEMAzzESkqKoKfnx/MzMwgEolgaWmJ4OBgAFUvghUIBMjLy2uQukpLS9G6dWsIBALEx8fz8nbv3o3WrVtDU1MTUqkUS5Ys4eVXt+XVLScnh4uprKzE3LlzYWNjA7FYDDs7O/z0009Q9gKLwMBACAQCLF++vMZ2//333/D29oaFhQUEAgH+97//ycXs378fPXv2hJGRkcLze/r0Kb799ls4ODhALBbD2toaEyZMQH5+Pi/u9OnTcHNzg46ODszNzTFjxgxUVFRw+UlJSejatSvMzMygoaEBW1tbzJkzB+Xl5QrbvnPnTggEAvTv379e7QWALl26yF3vwMBALj88PFzhZyIQCJCbm8vV06NHD5iYmEBXVxeurq44fvy4XF2ZmZkYMWIEjIyMIBaL0bJlS8TGxio8pw8Fe3AlwzDMRyQ8PByHDx/G4cOHYWVlhby8PKSnp7+Vur777jtYWFjg2rVrvPSjR49i+PDh+P3339GzZ0/cunULAQEBEIvFGD9+PC82KSmJ9yoLU1NT7v8XLVqEtWvX4s8//0Tz5s0RGxuLUaNGQU9PDxMmTOCVc+DAAVy6dAkWFha1tvv58+dwdnaGv78/vvjiC6UxnTt3xuDBgxEQECCXn5WVhaysLCxduhTNmjVDeno6AgMDkZWVhb179wIArl27hj59+mD27NnYvHkzMjMzERgYiMrKSixduhQAoK6ujpEjR6Jt27bQ19fHtWvXEBAQAJlMhpCQEF6daWlpmDZtGj755JN6t7daQEAA14EGAE1NTe7/hwwZgl69evHi/fz8UFJSwn0uf//9N3r06IGQkBDo6+sjLCwM3t7eiI6ORps2bQAAz549g7u7O7p27YqjR4/CxMQEd+/ehYGBgdJ2fRBe+y10HyH28l2GYYga5uW71WSVMirLLqKSlDwqyy4iWaWsAVqo3JkzZ0goFNLEiRPp+PHjVFxcTET/9xLal7c3efluREQEOTo6UkJCgtzLd4cOHUoDBw7kxa9cuZIaNWpEMlnV+Ve/MPbZs2dK6/jss8/I39+fl/bFF1/Q8OHDeWkZGRlkaWlJN2/eJKlUSsuWLavzeQCgAwcOKM1X9HJhZXbv3k1CoZDKy8uJiGjWrFnUvn17XsyhQ4dIQ0ODCgoKlJYzefJk6ty5My+toqKC3NzcaOPGjeTr60v9+vWrd3s9PDxo4sSJtZ5HtdzcXFJXV6fNmzfXGNesWTP68ccfuf0ZM2bItb8hvO2X77IpOYZhmPekNL0AT3cl4emuJDw7cJf7/9L0grdWp7OzM8aMGYM5c+bA2NgY/v7+WLZsGaysrLBv3z4AVaM62dnZWLFiBQAgJCQE2traNW7379/n6nj48CECAgKwZcsW3ggFd96lpXIvRxWLxcjIyJAb7WrdujUkEgl69OiBCxcu8PLc3Nxw+vRp3LlzB0DViE1kZCR69+7NxchkMvj4+GD69Olo3rz5G1y5N1f94lc1tarJHWXXoaSkBHFxcQrLSE5OxrFjx+Dh4cFLDw4OhqmpKUaPHv1Gbdy2bRuMjY3RokULzJo1C8XFxUpjN2/eDE1NTQwcOFBpjEwmQ2FhIQwNDbm0Q4cOoX379hg0aBBMTU3Rpk0bbNiw4Y3a/S6wKTmGYZj3oDS9APl/3YOsuAIqOkKoqKuAymUozypC/l/3oPeZLUTS13urek1GjRqFcePGwdjYGMbGxggLC4OdnR1atmzJfamZmppCX1+fOyYwMBCDBw+usdzqqS4igp+fHwIDA9G+fXukpaXJxXp5eWHy5Mnw8/ND165dkZycjF9//RUAkJ2djcaNG0MikWDdunVo3749SktLsXHjRnTp0gXR0dFo27YtAGDmzJkoKCiAo6MjVFVVUVlZiQULFmD48OFcXYsWLYKamprcFN279vjxY/z0008YO3Ysl+bl5YXly5djx44dGDx4MHJycrjpsOzsbN7xbm5uuHLlCkpLSzF27FjetFlkZCRCQ0MVrkuqj2HDhkEqlcLCwgLXr1/HjBkzkJSUhP379yuMDw0NxbBhwyAWi5WWuXTpUhQVFfF+fu7du4e1a9diypQp+P777xETE4MJEyZAKBTC19f3jc7hrXqD0a+PxqpVq8jJyYmaNm3KpuQYhnnjKTlZpYweb79F2UtiKHfTDXoUdpPbcjfdoOylMfR4+60Gn57LyMggAJSRkcFL79+/P02cOLFO02C1WbFiBbm7u1NFRQURKZ4Ckslk9N1335GGhgapqqqSgYEBzZ8/nwDQpUuXlJb96aef0ogRI7j9HTt2UKNGjWjHjh10/fp12rx5MxkaGlJ4eDgREcXGxpKZmRllZmZyx7yPKbn8/Hzq2LEj9erVi8rKynh5v/76K+nq6pKqqippamrSwoULCQDt3LmTF3f//n1KSEig7du3k6WlJS1atIiIiAoKCqhx48YUERHBxb7ulNyrTp8+TQAoOTlZLu/ixYsEgGJjY5Uev23bNtLU1KSTJ0/y0tXV1cnV1ZWX9u2331KnTp1qbVNN2JTcByAoKAiJiYmIiYl5301hGOY/oCK3GBW5xVDREUIgEPDyBAIBVLSFXExDqh61KCsr46UTER4/fqz0uPpMyZ05cwZRUVEQiURQU1ODvb09AKB9+/bc6IFAIMCiRYtQVFSE9PR05OTkoGPHjgAAW1tbpe3o2LEjkpOTuf3p06dj5syZ+Oqrr9CyZUv4+Phg8uTJWLhwIQDgn3/+QW5uLqytraGmpgY1NTWkp6dj6tSpaNy4cT2v3uspLCxEr169oKOjgwMHDkBdXZ2XP2XKFOTl5eH+/ft4/Pgx+vXrB0D+OlhZWaFZs2YYOnQofvnlF8yfPx+VlZVISUlBWloavL29uXPcvHkzDh06BDU1NaSkpLx2211cXACAd82rbdy4Ea1bt0a7du0UHrtz506MGTMGu3fvhqenJy9PIpGgWbNmvDQnJyfetO6HiE3JMQzDvGOy4gpQhQwq6or/ZhWoq0BWJIOsuEJh/uuyt7eHQCBAZGQkbGxsAFR1nqKjozFu3DgIhUIAVbfrv6w+U3IrV67Ezz//zKVnZWXBy8sLu3bt4r6Aq6mqqsLS0hIAsGPHDri6usLExERpHfHx8ZBIJNx+cXExVFT411BVVRUymQwA4OPjI/dl7eXlBR8fH4waNarG82kIBQUF8PLygkgkwqFDh+TWK1UTCATc9duxYwesrKy4aUdFZDIZysvLIZPJ4OjoiBs3bvDy58yZg8LCQqxYsQJWVlav3f7qKb6XrzlQ9WiK3bt3cx3TV+3YsQP+/v7YuXMnPvvsM7l8d3d3JCUl8dLu3LkDqVT62m19F1iHiWEY5h1T0VSDQK1qzZJApCqXT+UyCNRUoKLZsP9E6+vrw9fXFzNmzICxsTGkUikWLlyIwsJC7lZzgUCAI0eOoE+fPhCLxdDW1oahoSFv0W5NrK2tefva2toAADs7OzRq1AhA1XqevXv3okuXLigpKUFYWBj27NmD8+fPc8ctX74cNjY2aN68OUpKSrBx40acOXMGJ06c4GK8vb2xYMECWFtbo3nz5rh69Sp+++03+Pv7AwCMjIxgZGTEa4+6ujrMzc3h4ODApXXv3h0DBgzgHmlQVFTEG1VJTU1FfHw8DA0NufN7+vQp7t+/j6ysLADgOgDm5uYwNzdHQUEBevbsieLiYmzduhUFBQUoKKhazG9iYgJV1arPfcmSJejVqxdUVFSwf/9+/PLLL9i9ezeXv23bNqirq6Nly5YQiUSIjY3FrFmzMGTIEKirq0NdXR0tWrTgnWP1+rOX02trb0pKCrZv344+ffrAyMgI169fx+TJk/Hpp5+iVatWvPJ37dqFiooKjBgxAq/avn07fH19sWLFCri4uHDPzRKLxdDT0wMATJ48GW5ubggJCcHgwYNx+fJlrF+/HuvXr5cr74PyBtOFHx32WAGGYYgacA3T0ne7homIqLi4mKZOnUpSqZR0dXXJw8ODtw4lODiYzM3NSSAQvNFjBaopWjPz6NEj6tSpE2lpaZGmpiZ1795dbu3SokWLyM7OjjQ0NMjQ0JC6dOlCZ86c4cUUFBTQxIkTydramjQ0NMjW1pZmz55NpaWlStujaA2TVCqlefPmcfvVa7le3V6+HmFhYQpjqstRVgYASk1N5crp2rUr6enpkYaGBrm4uPDWIhER7dy5k9q2bUva2tqkpaVFzZo1o5CQkBp/9hStYaqtvffv36dPP/2UDA0NSSQSkb29PU2fPl3h952rqysNGzZMYd0eHh61XjsiosOHD1OLFi1IJBKRo6MjrV+/Xun51NXbXsMkIFLySFRGTkFBAfT09LhbQxmG+TiVlJQgNTUVNjY2SqdZasPdJfeiAiraQgj+/11ysqIyqIjV3tpdcgzzX1XT72VDfH+zRd8MwzDvgUiqC73PbKFuoQ0qqUDlsxJQSQXULbRZZ4lhPkBsDRPDMMx7IpLqQmilg4rc4qrnMWmqQc1UEwIVQe0HMwzzTrEOE8MwzHskUBFA3VzrfTeDYZhasCk5hmEYhmGYWrAOE8MwDMMwTC1Yh4lhGIZhGKYWrMPEMAzDMAxTC9ZhYhiGYRiGqQXrMDEMwzAMw9SCdZgYhmEYhmFqwTpMDMMwH5GioiL4+fnBzMwMIpEIlpaWCA4OBgCcO3cOAoEAeXl5b1RH48aNIRAIeNsvv/zCiyEiLF26FE2bNuXasWDBAl5MaWkpZs+eDalUCpFIhMaNG2PTpk28mLy8PAQFBUEikUAkEqFp06aIiIiosS0CgQBBQUFK2x8eHi4X/+qrNvz8/ORievXqxeVXX0tFW0xMTJ2vQ2RkJNzd3WFkZASxWAxHR0csW7aM15bCwkJMmjQJUqkUYrEYbm5uvDqq6/nhhx8gkUggFovh6emJu3fv8mL69u0La2traGhoQCKRwMfHh3tZb30+t23btsHZ2RmampqQSCTw9/fHkydP6vW5AUBmZiZGjBjBnXvLli0RGxur8DN7Fz6qB1c+ePAAPj4+yM3NhZqaGubOnYtBgwa972YxDMO8M+Hh4Th8+DAOHz4MKysr5OXlIT09vcHrCQ4ORkBAALevo6PDy584cSJOnDiBpUuXomXLlnj69CmePn3Kixk8eDAePnyI0NBQ2NvbIzs7GzKZjMsvKytDjx49YGpqir1798LS0hLp6enQ19fnYmJiYlBZWcnt37x5Ez169Kj1335dXV0kJSVx+wKB/NPXe/XqhbCwMG5fJBJx/+/m5obs7Gxe/Ny5c3H69Gm0b9++ztdBS0sL48ePR6tWraClpYXIyEiMGzcOWlpaGDt2LABgzJgxuHnzJrZs2QILCwts3boVnp6eSExMhKWlJQBg8eLFWLlyJf7880/Y2Nhg7ty58PLyQmJiItcZ7Nq1K77//ntIJBJkZmZi2rRpGDhwIC5evFjn9l64cAEjR47EsmXL4O3tjczMTAQGBiIgIAD79+8HULfP7dmzZ3B3d0fXrl1x9OhRmJiY4O7duzAwMKjxc3urXvu1vf9CWVlZ3Buzs7OzycLCgoqKiup8fEO87ZhhmH+/mt6KXl+VlZWUk5NDqamplJOTQ5WVlQ3QQuXOnDlDQqGQJk6cSMePH6fi4mIiIkpNTa31DfN1JZVKadmyZUrzExMTSU1NjW7fvq005ujRo6Snp0dPnjxRGrN27VqytbWlsrKyOrdt4sSJZGdnRzKZTGlMWFgY6enp1ViOr68v9evXr871lpWVkYmJCQUHB3NpdbkOigwYMIBGjBhBRETFxcWkqqpKR44c4cW0bduWZs+eTUREMpmMzM3NacmSJVx+Xl4eiUQi2rFjh9J6Dh48SAKBgLu+dWnvkiVLyNbWlpe2cuVKsrS05Pbr8rnNmDGDOnfurDRfkZp+Lxvi+/ujmpKTSCRo3bo1AMDc3BzGxsZyf9EwDMO8K/fv38f+/ftx4MABHDlyBAcOHMD+/ftx//79t1ans7MzxowZgzlz5sDY2Bj+/v5YtmwZrKyssG/fPgBAUlISsrOzsWLFCgBASEgItLW1a9xebfMvv/wCIyMjtGnTBkuWLEFFRQWXd/jwYdja2uLIkSOwsbFB48aNMWbMGN6/x4cOHUL79u2xePFiWFpaomnTppg2bRpevHjBi3F1dUVQUBDMzMzQokULhISE8EaUXlZWVoatW7fC399f4YjRy4qKiiCVSmFlZYV+/fohISFBLubcuXMwNTWFg4MDvv76a7lpp5cdOnQIT548wahRo+p1HV519epVXLx4ER4eHgCAiooKVFZWyk0ZisViREZGAgBSU1ORk5MDT09PLl9PTw8uLi6IiopSWM/Tp0+xbds2uLm5QV1dvc7tdXV1xYMHDxAREQEiwsOHD7F371706dOHdy1q+9yqP/9BgwbB1NQUbdq0wYYNG5Rel3fitbtab8H58+fp888/J4lEQgDowIEDcjGrVq0iqVRKIpGIOnbsSNHR0a9VV2xsLDVv3rxex7ARJoZhiBpmhCk9PZ02bNhAK1eupLCwMNqyZQuFhYXRypUracOGDZSent6ALf4/ffv2pb/++ovbf/HiBVlYWNDJkyfp7NmzBICePXvGO+bJkyd09+7dGrfy8nIu/tdff6WzZ8/StWvXaO3ataSvr0+TJ0/m8seNG0cikYhcXFzo77//prNnz1Lr1q2pa9euXIyXlxeJRCL67LPPKDo6mv766y+SSqXk5+fHxTg4OJBIJCJ/f3+KjY2lnTt3kqGhIc2fP1/hue/atYtUVVUpMzOzxmt08eJF+vPPP+nq1at07tw5+vzzz0lXV5cePHjAxezYsYMOHjxI169fpwMHDpCTkxN16NCBKioqFJbZu3dv6t27Ny+tLtehmqWlJQmFQlJRUeGNUhERubq6koeHB2VmZlJFRQVt2bKFVFRUqGnTpkREdOHCBQJAWVlZvOMGDRpEgwcP5qV99913pKmpSQCoU6dO9Pjx43q3d/fu3aStrU1qamoEgLy9vXmjSXX53EQiEYlEIpo1axZduXKF/vjjD9LQ0KDw8HCF15fo7Y8wfVAdpoiICJo9ezbt379fYYdp586dJBQKadOmTZSQkEABAQGkr69PDx8+5GKcnZ2pefPmctvLvyBPnjyhZs2a0YULF+rVPtZhYhiG6M07TJWVlbRnzx5auXIlbd26lbZt28ZtW7dupZUrV9LevXsbfHouIyODAFBGRgYvvX///jRx4kSlHaY3FRoaSmpqalRSUkJERAEBAQSAkpKSuJi4uDgCwE339OjRgzQ0NCgvL4+L2bdvHwkEAm4asUmTJmRlZcXrpPz6669kbm6usB09e/akzz//vN7tLysrIzs7O5ozZ47SmJSUFAJAp06dkst78OABqaio0N69e3npdbkO1e7du0fXr1+n9evXk6GhIW3fvp3LS05Opk8//ZQAkKqqKnXo0IGGDx9Ojo6ORFS/DtOjR48oKSmJTpw4Qe7u7tSnTx9u+rIu7U1ISCCJREKLFy+ma9eu0bFjx6hly5bk7+/PHVOXz01dXZ1cXV15bfv222+pU6dOcte32tvuML32ou/y8nLk5OSguLgYJiYmMDQ0fN2iOL1790bv3r2V5v/2228ICAjghjTXrVuHv/76C5s2bcLMmTMBAPHx8TXWUVpaiv79+2PmzJlwc3OrNba0tJTbLygoqOOZMAzDKPfo0SM8fvwYOjo6clNDAoEAOjo6ePToER49egQzM7MGq7d6EXJZWRkvnYjw+PFjpceFhIQgJCSkxrITExNhbW2tMM/FxQUVFRVIS0uDg4MDJBIJ1NTU0LRpUy7GyckJQNU0ZXWMpaUl9PT0eDFEhIyMDDRp0gQSiQTq6upQVVXlxeTk5KCsrAxCoZBLT09Px6lTp7iFx/Whrq6ONm3aIDk5WWmMra0tjI2NkZycjO7du/PywsLCYGRkhL59+/LS63IdqtnY2AAAWrZsiYcPH2L+/PkYOnQoAMDOzg7nz5/H8+fPUVBQAIlEgiFDhsDW1hZA1RIUAHj48CEkEglX5sOHD7llKtWMjY1hbGyMpk2bwsnJCVZWVrh06RJcXV3r1N6FCxfC3d0d06dPBwBusfonn3yCn3/+GRKJpE6fm0QiQbNmzXhtc3Jy4qaN34d6rWEqLCzE2rVr4eHhAV1dXTRu3BhOTk4wMTGBVCpFQECA3K2MDaWsrAxxcXG8OVgVFRV4enoqnYN9FRHBz88P3bp1g4+PT63xCxcuhJ6eHrdZWVm9dvsZhmGqvXjxAhUVFVBTU/w3q5qaGioqKnjrdRqCvb09BAIBt7YFqPq3NTo6Gvb29lwH49U1QIGBgYiPj69xs7CwUFpvfHw8VFRUYGpqCgBwd3dHRUUFUlJSuJg7d+4AAKRSKReTlZWFoqIiXoyKigoaNWrExSQnJ/PunLtz5w4kEgmvswRUdVpMTU3x2Wef1f2C/X+VlZW4ceMGr7PxqoyMDDx58kQuhogQFhaGkSNHcmuBqtXlOigik8l4f8xX09LSgkQiwbNnz3D8+HH069cPQFVny9zcHKdPn+ZiCwoKEB0dDVdX1xrrAcDVVZf2FhcXQ0WF37Wo7hgREVdObZ+bu7s77y7F6piarstbV9ehqF9//ZUMDQ2pQ4cOFBwcTMeOHaPr16/T3bt3KTo6mkJDQ8nPz4/09fXJy8uL7ty589rDXlR1VXlTcpmZmQSALl68yIubPn06dezYsU5l/vPPPyQQCMjZ2Znbrl+/rjS+pKSE8vPzue3BgwdsSo5hmDeeksvJyaG1a9dSWFgYbzquegsLC6O1a9dSTk5OA7ecyM/PjyQSCUVERFBCQgKNGDGCtLS0KCMjgzIyMkggEFB4eDjl5uZSYWFhvcu/ePEiLVu2jOLj4yklJYW2bt1KJiYmNHLkSC6msrKS2rZtS59++ilduXKFYmNjycXFhXr06MHFFBYWUqNGjWjgwIGUkJBA58+fpyZNmtCYMWO4mPv375OOjg6NHz+ekpKS6MiRI2Rqako///wzr02VlZVkbW1NM2bMUNhmHx8fmjlzJrf/448/0vHjxyklJYXi4uLoq6++Ig0NDUpISODaNm3aNIqKiqLU1FQ6deoUtW3blpo0acJNO1Y7deoUAaBbt27J1VuX67Bq1So6dOgQ3blzh+7cuUMbN24kHR0d7g44IqJjx47R0aNH6d69e3TixAlydnYmFxcX3rqhX375hfT19bl1V/369SMbGxvuZ/jSpUv0+++/09WrVyktLY1Onz5Nbm5uZGdnx51TXdobFhZGampqtGbNGkpJSaHIyEhq374973u6Lp/b5cuXSU1NjRYsWEB3796lbdu2kaamJm3dulXhZ0j0Aa1h+uqrr+jmzZu1xpWUlNDatWspNDT0tRtF9HY6TG+KrWFiGIbo37uGiajqNvSpU6eSVColXV1d8vDwoNjYWC4/ODiYzM3NSSAQvNZjBeLi4sjFxYX09PRIQ0ODnJycKCQkRK4jkZmZSV988QVpa2uTmZkZ+fn5yT1C4NatW+Tp6UlisZgaNWpEU6ZM4dYvVbt48SK5uLiQSCQiW1tbWrBggdzC6+PHj8utvXmZh4cH71wnTZpE1tbWJBQKyczMjPr06UNXrlzh8ouLi6lnz55kYmJC6urqJJVKKSAgQGEHd+jQoeTm5qb0etV2HVauXEnNmzcnTU1N0tXVpTZt2tCaNWt4Pxu7du0iW1tbEgqFZG5uTkFBQby1X0RVjxaYO3cumZmZkUgkou7du/Oux/Xr16lr165kaGhIIpGIGjduTIGBgXLr3eryua1cuZKaNWtGYrGYJBIJDR8+XK6cunxuhw8fphYtWpBIJCJHR0dav3690utI9PY7TAKi/z9G9oERCAQ4cOAA+vfvD6Bq2FhTUxN79+7l0gDA19cXeXl5OHjw4FtvU0FBAfT09JCfnw9dXd23Xh/DMB+mkpISpKamwsbGRu527rq6f/8+Tpw4gRcvXkBHR4ebhissLIRYLEbPnj2VrgliGEZeTb+XDfH9/UbPYVq7du2bHF4vwv/H3nnHV1FsD/y7e29uSe+hpNCLCKEJUhQVBEGRosJDRIq0J/xEUESeKDx8AgpSVLAhTVHEgo9mQcCCKEqVGloAgYQSSM9tu+f3xyVXLkkgYBB87vfzuR/YmdmZM2dvsidzzpyxWGjUqJGfD1bXdVavXn1RH2xZMHPmTG644QZuuummqzqOgYHB34fExETatm1L+fLlcTgcZGZm4nA4qFChgmEsGRhch/yho1Hefvtt/vnPf5aVLOTm5vrtQkhNTWXr1q1ERkaSmJjIiBEj6N27N40bN6ZJkyZMnz6dvLw8v0RgV4MhQ4YwZMgQn4VqYGBgUBYkJiYSHx/PqVOnKCgowG63ExMTUyRo1sDA4NpzXZ0lt3HjRm6//Xbf9YgRIwCv223evHl0796dU6dO8dxzz5Genk79+vX54osvynTbrYGBgcGfiaqqxu8wA4O/AH8ohslqtdKwYUPq1KlDnTp1uPHGG6lTp85Ft5f+lTFimAwMDKBsYpgMDAzKlus6hqlmzZq89dZbtGnThoyMDGbNmkWrVq2IiYnhlltu+SNdX1cYMUwGBgYGBgZ/b/6QS85kMlG3bl3q1q3rV+5wONi9e/cfEux6wohhMjAwMDAw+Hvzh1aYBg8eXGy5zWajQYMGf6RrAwMDAwMDA4Prhj9kMA0aNKjEuu7du/+Rrg0MDAwMDAwMrhuu2t7Vq3Wm3LXAiGEyMDAwMDD4e/OHDKYxY8awaNEiduzYgcfjKSuZrjuGDBnCrl27/qeMQAMDAwMDA4PS84cMpqioKFatWsUjjzxCbGwsN954I927d+f555/3O2HawMDAwOD6IDc3lz59+hAXF4fVaqVixYqMHz8egG+++QZFUcjMzPzD46xYsYKmTZtit9uJiIjwO9IqIyODu+66iwoVKmC1WklISGDo0KFkZ2f72vTp0wdFUYp86tSp42szbty4IvW1atXyk+Ott97itttuIzQ09LLmNnPmTCpVqoTNZqNp06b8/PPPfvUOh4MhQ4YQFRVFcHAw9913HydOnPDVb9u2jR49epCQkIDdbqd27drMmDHDr49169bRokULoqKisNvt1KpVi2nTppUo06RJk1AUhccff9yvfNCgQVStWtWX+LRTp07s2bPHr83q1atp3rw5ISEhlCtXjlGjRvktdDgcDvr06UPdunUxm81+z+t8nE4nzzzzDElJSVitVipVqsScOXOKbbto0SIURSnSV3HPVVEUJk+eXOLcrwf+0C654cOH+12npqayY8cOduzYwZ133vmHBDMwMDAwKHvmzZvHsmXLWLZsGQkJCWRmZnL48OEyHeOTTz5hwIABTJgwgTvuuAOPx8OOHTt89aqq0qlTJ/7zn/8QExPD/v37GTJkCGfOnOH9998HYMaMGUyaNMl3j8fjITk5mQceeMBvrDp16vD111/7rs1m/9dafn4+d911F3fddRejR48ulfwffvghI0aM4I033qBp06ZMnz6ddu3akZKSQmxsLOB9/61YsYKPPvqIsLAwhg4dSteuXfnhhx8A2LRpE7Gxsbz33nskJCSwfv16Bg4ciMlkYujQoQAEBQUxdOhQ6tWrR1BQEOvWrWPQoEEEBQUxcOBAP5l++eUX3nzzTerVq1dE3kaNGtGzZ08SExM5c+YM48aNo23btqSmpmIymdi2bRsdOnTgmWeeYcGCBRw7dozBgwejaRpTpkwBQNM07HY7jz32GJ988kmJuunWrRsnTpzgnXfeoVq1aqSlpaHrepF2hw4d4sknnyw2xVBaWprf9eeff84jjzzCfffdd7HHcu25nJN6d+zYIfv27bvik37/6pTFaccGBgZ/fS52Kvrlouua5OTskTNnNkhOzh7Rde3SN/0B1qxZIxaLRYYNGyZffvml5Ofni4hIamqqAH6f3r17X3b/brdbKlasKLNnz76s+2bMmCHx8fEl1i9ZskQURZFDhw75ysaOHSvJycml6n/t2rUCyNmzZy/ZtkmTJjJkyBDftaZpUqFCBZk4caKIiGRmZkpAQIB89NFHvja7d+8WQH788ccS+3300Ufl9ttvv+jYXbp0kYceesivLCcnR6pXry6rVq2SVq1aybBhwy7ax7Zt2wSQ/fv3i4jI6NGjpXHjxn5tli5dKjabTbKzs4vc37t3b+nUqVOR8s8//1zCwsIkIyPjouN7PB5p3ry5zJ49u8S+zqdTp05yxx13XLRNabjYz2VZvL8vyyU3YsQIZs2a5Ve2YsUKevbsyfDhwzl06FAZmHDXH0bQt4GBwdUgM2sTO3eNYOeuJ9iTMoadu55g564RZGZtumpjJicn079/f8aMGUN0dDT9+vVj2rRpJCQk+FYWUlJSSEtL87mQJkyYQHBw8EU/R44cAWDz5s0cO3YMVVVp0KAB5cuXp3379n4rTBdy/PhxPv30U1q1alVim3feeYc2bdqQlJTkV75v3z4qVKhAlSpV6Nmzp0+OK8XlcrFp0ybatGnjK1NVlTZt2vDjjz8C3tUjt9vt16ZWrVokJib62hRHVlYWkZGRJdZv2bKF9evXF9HDkCFDuPvuu/3GK4m8vDzmzp1L5cqVSUhIALxutAszX9vtdhwOB5s2lf67tnTpUho3bsxLL71ExYoVqVGjBk8++SQFBQV+7caPH09sbCyPPPLIJfs8ceIEK1asKFXba81lueS2bdvGc88957vevXs3Xbp0ITY2FqfTycKFC9m6dev/3NEoRuJKAwODsiYzaxP79k3E48nCYonBpNrQdAc5OTvZt28i1auPJjysUZmP27dvXwYNGkR0dDTR0dHMnTuXqlWrUrduXd/LPDY2lvDwcN89gwcPplu3bhftt/D3/sGDBwFvfNHUqVOpVKkSL7/8Mrfddht79+71Mxh69OjBf//7XwoKCujYsSOzZ88utu/jx4/z+eef+9x1hTRt2pR58+ZRs2ZN0tLS+Pe//80tt9zCjh07CAkJuWzdAJw+fRpN04qc7xcXF+eLC0pPT8disfjpqLBNenp6sf2uX7+eDz/8kBUrVhSpKzyA2ePxMG7cOPr37++rW7RoEZs3b77kpqNZs2bx1FNPkZeXR82aNVm1ahUWiwWAdu3aMX36dD744AO6detGenq6L27tQvfYxTh48CDr1q3DZrOxZMkSTp8+zaOPPkpGRgZz584FvHFZ77zzDlu3bi1Vn/PnzyckJISuXbuWWo5rxWWtMGVlZfksVoAFCxZQpUoVDh8+zNGjR0lOTvbzORsYGBgYFEVE5+jRd/F4srDbkjCbglAUE2ZTEHZbEh5PFkePvodI0diQP8KxY8dYunQpycnJvjKbzUaTJk1Yvnx5ifdFRkZSrVq1i34KY4cK41meeeYZ7rvvPho1asTcuXNRFIWPPvrIr99p06axefNm/vvf/3LgwAHfgesXMn/+fMLDw4sED7dv354HHniAevXq0a5dO1auXElmZiaLFy++EvVcNXbs2EGnTp0YO3Ysbdu2LVL//fffs3HjRt544w2fYQPw22+/MWzYMBYuXHjJMwt79uzJli1b+Pbbb6lRowbdunXD4XAA0LZtWyZPnszgwYOxWq3UqFGDDh06AN7Vs9Ki6zqKorBw4UKaNGlChw4dmDp1KvPnz6egoICcnBx69erF22+/TXR0dKn6nDNnDj179vxLnMl4WStM8fHxpKWlkZiYCHij7h944AFMJhMmk4nRo0fz6KOPXhVBDQwMDP5XyMvbR17efiyWGBRF8atTFAWLJeZcm30EB9css3ELVxNcLpdfuYhw+vTpEu+bMGECEyZMuGjfu3btIjExkfLlywNwww03+OqsVitVqlQp4i4rV64c5cqVo1atWkRGRnLLLbfw7LPP+voolG3OnDn06tXLt2JSEuHh4dSoUYP9+/dftN3FiI6OxmQy+e14A6/rqFy5cj65XS4XmZmZfqtM57cpZNeuXbRu3ZqBAwcyZsyYYsesXLkyAHXr1uXEiROMGzeOHj16sGnTJk6ePEnDhg19bTVN47vvvuO1117D6XRiMpkACAsLIywsjOrVq3PzzTcTERHBkiVL6NGjB+ANqRk+fDhpaWlERERw6NAhRo8eTZUqVUqtm/Lly1OxYkU/T0vt2rUREY4ePUpeXh6HDh2iY8eOvvpCA9psNpOSkkLVqlV9dd9//z0pKSl8+OGHpZbhWnJZK0xt2rRh6tSpABw+fJjNmzf7WctVq1blt99+K1sJDQwMDP7HcLuz0HUXJrX4v6pNqg1dd+F2Z5XpuNWqVUNRFNatW+crc7lcbNiwgWrVqvkMEk3T/O4bPHgwW7duvein0CXXqFEjrFYrKSkp583XzaFDh4rEH51P4YvV6XT6lX/77bfs37+/VDEuubm5HDhwwM/gulwsFguNGjVi9erVfrKtXr2aZs2aAd45BgQE+LVJSUnhyJEjvjYAO3fu5Pbbb6d379688MILpRpf13WfDlq3bs327dv99Ny4cWN69uzJ1q1bfcbShYgIIlJEl4qiUKFCBex2Ox988AEJCQl+xtilaNGiBcePH/dLG7R3715UVSU+Pp5atWoVkffee+/l9ttvZ+vWrX4eKvDGpTVq1MhvxfN65rJWmMaMGUODBg2oUqUKDoeDhIQEWrZs6as/ceIEwcHBZS6kgYGBwf8SAQFhqKoFTXdgNgUVqdd0B6pqISCgbGMmw8PD6d27N6NGjSI6OpqkpCQmTpxITk4OAwYMALwv1eXLl9OhQwfsdjvBwcFERkZeNFj5fEJDQxk8eDBjx44lISGBpKQkX36dwpQAK1eu5MSJE9x0000EBwezc+dORo4cSYsWLahUqZJff++88w5NmzblxhtvLDLWk08+SceOHUlKSuL48eOMHTsWk8nkW1UBb7xRenq6b9Vp+/bthISEkJiY6JtT69at6dKli2+7/4gRI+jduzeNGzemSZMmTJ8+nby8PPr27Qt4V3MeeeQRRowYQWRkJKGhofzf//0fzZo14+abbwa8brg77riDdu3aMWLECF9sk8lkIiYmBvBuKEpMTPTljvruu++YMmUKjz32GAAhISFF5h0UFERUVJSv/ODBg3z44Ye0bduWmJgYjh49yqRJk7Db7T63G8DkyZO56667UFWVTz/9lEmTJrF48WI/o2vXrl24XC7OnDlDTk6OLw6pfv36ADz44IM8//zz9O3bl3//+9+cPn2akSNH0q9fP+x2O0AReQtX4C4sz87O5qOPPuLll18u8lyvWy53W92hQ4dkxIgR0q9fP9m8ebNf3cSJE6Vly5ZXvGXvesdIK2BgYCDyx9MK6Lom23cMk/U/tpEtWx6RrVv7+z5btjwi639sI9t3PH5VUgzk5+fLE088IUlJSRIaGiqtWrWSjRs3+urHjx8v5cqVE0VRriitgIiIy+WSJ554QmJjYyUkJETatGkjO3bs8NWvWbNGmjVrJmFhYWKz2aR69eoyatSoIlv+MzMzxW63y1tvvVXsON27d5fy5cuLxWKRihUrSvfu3X1b6QsZO3ZskXQJgMydO9fXJikpScaOHet336uvviqJiYlisVikSZMm8tNPP/nVFxQUyKOPPioRERESGBgoXbp0kbS0tEuOm5SU5GvzyiuvSJ06dSQwMFBCQ0OlQYMGMmvWLNG0kp/7hWkFjh07Ju3bt5fY2FgJCAiQ+Ph4efDBB2XPnj1+991+++0+fTdt2lRWrlxZpO+kpKRiZT6f3bt3S5s2bcRut0t8fLyMGDHCl5qiOEpKK/Dmm2+K3W6XzMzMEu+9XK52WgFFRKSsjK+HH36Yhg0bFslC+ldn5syZzJw5E03T2Lt3L1lZWYSGhl5rsQwMDK4RDoeD1NRUKleufMXBqiXtknO5TmE2h121XXIGBv+rXOznsnCX+x95f5faYDpy5Igv2Ls0HDt2jIoVK16RUNcrZaFwAwODvz5lYTCB12g6evRd8vL2o+suVNVCUFB14uMfMowlA4PL5GobTKWOYbrpppvo3Lkz/fv3LzGBY1ZWFosXL2bGjBkMHDjQ54c1MDAwMChKeFgjwkIbkJe3D7c7i4CAMIKCqqMof+iYTwMDg6tAqQ2mXbt28cILL3DnnXdis9lo1KgRFSpUwGazcfbsWXbt2sXOnTtp2LAhL730kl+wmYGBgYFB8SiKWqapAwwMDK4Opf4zJioqiqlTp5KWlsbMmTOpXr06p0+fZt++fYA3adamTZv48ccfDWPJwMDAwMDA4H+Ky0orAHDy5EksFgsPPvggTZo0uRoyGRgYGBgYGBhcV1yWwfTBBx/Qp08f3G43iqLQoEEDPv/8c19OCQMDAwMDAwOD/0UuK7Lw3//+Nw8++CB79uzhq6++AuDpp5++KoJdT8ycOZMbbrihxGB3AwMDAwMDg/9tLisPk8ViYe/evb5MrHv27KFRo0bk5eVdLfmuK4y0AgYGBlB2aQUMDAzKjqudVuCyVpg8Hg+BgYG+61q1aqHrui/lu4GBgYGBgYHB/yKXnexj/vz5rF+/3nf4ntlsJj8/v8wFMzAwMDAwMDC4Xrgsg+mWW27hP//5Dy1btiQ8PJzq1avjcDh45513WLt2LTk5OVdLTgMDAwODMiA3N5c+ffoQFxeH1WqlYsWKjB8/HoBvvvkGRVHIzMy84v4L+yju88svv/ja/frrr9xyyy3YbDYSEhJ46aWXivQ1ffp0atasid1uJyEhgeHDh+NwOHz1r7/+OvXq1SM0NJTQ0FCaNWvG559/XqxcIkL79u1RFIXPPvus1PMZPHgwiqIwffr0YuudTif169dHURTfYbUA48aNK1YHQUH+hy1/9NFH1KpVC5vNRt26dVm5cuVly7J37146depEdHQ0oaGhtGzZkrVr1/rq582bV+IzOXnypK/dzJkzqV27Nna7nZo1a7JgwYIiMmRmZjJkyBDKly+P1WqlRo0aRWSeOXMmlSpVwmaz0bRpU37++We/+vT0dHr16kW5cuUICgqiYcOGfPLJJyXO+7rhSg6g27t3r3zwwQcycuRIad26tURERIiiKGIymaRWrVpXfLDd9Y5x+K6BgYHIHz9893w0XZddOfmy/myO7MrJF03Xy0DCknn11VclMjJSfvjhBzly5Ij8+uuvsmzZMhERWbt2rQBFDsG9HJxOp6Slpfl9+vfvL5UrVxb93NyysrIkLi5OevbsKTt27JAPPvhA7Ha7vPnmm75+Fi5cKFarVRYuXCipqany5ZdfSvny5WX48OG+NkuXLpUVK1bI3r17JSUlRf71r39JQECA30G/hUydOlXat28vgCxZsqRUc/n0008lOTlZKlSoINOmTSu2zWOPPebrd8uWLb7ynJycInq44YYb/A40/uGHH8RkMslLL70ku3btkjFjxkhAQIBs3779smSpXr26dOjQQbZt2yZ79+6VRx99VAIDA32HAefn5xeRpV27dtKqVStfH7NmzZKQkBBZtGiRHDhwQD744AMJDg6WpUuX+to4nU5p3LixdOjQQdatWyepqanyzTffyNatW31tFi1aJBaLRebMmSM7d+6UAQMGSHh4uJw4ccLX5s4775SbbrpJNmzYIAcOHJDnn39eVFWVzZs3l+KplMzVPnz3igym4jh48KAsXrxYRo8eXVZdXncYBpOBgYFI2RlMP2fmyuAdqdL6593S8qdd0vrn3TJ4R6r8nJlbRpIWZc2aNWKxWGTYsGHy5Zdf+k6aT01NLXJK/fkv9yvF5XJJTEyMjB8/3lc2a9YsiYiIEKfT6SsbNWqU1KxZ03c9ZMgQueOOO/z6GjFihLRo0eKi40VERMjs2bP9yrZs2SIVK1aUtLS0UhtMR48elYoVK8qOHTskKSmpWINp5cqVUqtWLdm5c2cRg+lCtm7dKoB89913vrJu3brJ3Xff7deuadOmMmjQoFLLcurUqSL9ZmdnCyCrVq0qVpaTJ09KQECALFiwwFfWrFkzefLJJ/3aXajv119/XapUqSIul6vEeTZp0kSGDBniu9Y0TSpUqCATJ070lQUFBfmNLSISGRkpb7/9don9loarbTCV2YFFlStX5oEHHmDChAll1aWBgYHB/yy/ZOUxbv8xtucWEGo2kWCzEGo2sT23gHH7j/FL1tXZfZycnEz//v0ZM2YM0dHR9OvXj2nTppGQkOBzi6SkpJCWlsaMGTMAmDBhAsHBwRf9HDlypNjxli5dSkZGBn379vWV/fjjj9x6661YLBZfWbt27UhJSeHs2bMANG/enE2bNvncOQcPHmTlypUlniShaRqLFi0iLy+PZs2a+crz8/N58MEHmTlzJuXKlSuVjnRdp1evXowcOZI6deoU2+bEiRMMGDCAd999128zVEnMnj2bGjVqcMstt/jKfvzxR9q0aePXrl27dvz444+lliUqKsrnPsvLy8Pj8fDmm28SGxtLo0bFH+C8YMECAgMDuf/++31lTqezyM4yu93Ozz//jNvtBrzPslmzZgwZMoS4uDhuvPFGJkyYgKZpALhcLjZt2uQ3J1VVadOmjd+cmjdvzocffsiZM2fQdZ1FixbhcDi47bbbLqXGa8plZ/o2MDAwMPhj6CLMOXqKLI9GJZsFRVEACDKZqGRTOeRwMffoKRqFBqKeqysr+vbty6BBg4iOjiY6Opq5c+dStWpV6tatS2RkJACxsbGEh4f77hk8eDDdunW7aL8VKlQotvydd96hXbt2xMfH+8rS09OpXLmyX7u4uDhfXUREBA8++CCnT5+mZcuWiAgej4fBgwfzr3/9y+++7du306xZMxwOB8HBwSxZsoQbbrjBVz98+HCaN29Op06dLq2cc7z44ouYzeYSD5AXEfr06cPgwYNp3Lgxhw4dumh/DoeDhQsXFslbmJ6e7pt3IXFxcX47zy8li6IofP3113Tu3JmQkBBUVSU2NpYvvviCiIiIYu955513ePDBB7Hb7b6ydu3aMXv2bDp37kzDhg3ZtGkTs2fPxu12c/r0acqXL8/BgwdZs2YNPXv2ZOXKlezfv59HH30Ut9vN2LFjOX36NJqmFTunPXv2+K4XL15M9+7diYqKwmw2ExgYyJIlS6hWrdpF9XitMQwmAwMDgz+ZlDwH+/IdxFrMPmOpEEVRiLWY2ZvvICXPQe1gewm9XD7Hjh1j6dKlzJo1y1dms9lo0qQJy5cvp3PnzsXeFxkZ6TOmLoejR4/y5Zdfsnjx4su+95tvvmHChAnMmjWLpk2bsn//foYNG8bzzz/Ps88+62tXs2ZNtm7dSlZWFh9//DG9e/fm22+/5YYbbmDp0qWsWbOGLVu2lHrcTZs2MWPGDDZv3lzk2RTy6quvkpOTw+jRo0vV55IlS8jJyaF3796llqO0sogIQ4YMITY2lu+//x673c7s2bPp2LEjv/zyC+XLl/dr/+OPP7J7927effddv/Jnn32W9PR0br75ZkSEuLg4evfuzUsvvYSqep1Ruq4TGxvLW2+9hclkolGjRhw7dozJkyczduzYUs/r2WefJTMzk6+//pro6Gg+++wzunXrxvfff0/dunUvS0d/JmXmkvtfxsj0bWBgUJZkejScumBTi/8VbFNVnLqQ6dHKdNy0tDTA6zo5HxHh9OnTJd53pS65uXPnEhUVxb333utXXq5cOU6cOOFXVnhd6DZ79tln6dWrF/3796du3bp06dKFCRMmMHHiRHRd991nsVioVq0ajRo1YuLEiSQnJ/tciWvWrOHAgQOEh4djNpsxm71rBPfdd1+J7p/vv/+ekydPkpiY6Lvn8OHDPPHEE76kzWvWrOHHH3/EarViNpt9KyONGzcu1iiaPXs299xzT5GVl5L0UKiD0sqyfPlyFi1aRIsWLWjYsCGzZs3Cbrczf/78YmWpX79+EXed3W5nzpw55Ofnc+jQIY4cOUKlSpUICQnxHX9Wvnx5atSogclk8t1Xu3Zt0tPTcblcREdHYzKZLjqnAwcO8NprrzFnzhxat25NcnIyY8eOpXHjxsycObPYZ3K9YKwwlYIhQ4YwZMgQX6ZQAwMDgz9CuNmEVVVw6DpB5718CnHoOlZVIdxctO6PUK1aNRRFYd26dT6XmMvlYsOGDQwaNMgXU1QYk1LIlbjkRIS5c+fy8MMPExAQ4FfXrFkznnnmGdxut69u1apV1KxZ0+dGys/P961sFFL4opaLHFCh6zpOpxPwHt3Vv39/v/q6desybdo0OnbsWOz9vXr1KjauqFevXr44rFdeeYX//Oc/vvrjx4/Trl07PvzwQ5o2bep3b2pqKmvXrmXp0qVFxmrWrBmrV6/m8ccf95WtWrXKF4NVGlkK8yBeqCtVVf0MS/CmlFi8eDETJ04sdu4AAQEBPvfpokWLuOeee3x9t2jRgvfffx9d131le/fupXz58r7vTqNGjVi9erVvtVLXdVavXs3QoUMvKq/JZCoi73XHFYeL/w0xdskZGBiI/PFdcpquy+AdqdLip13Sc+t+eWjbAd+n59b90uKnXfLPHalXJcVAnz59pHz58rJy5UrZuXOnPPTQQxIUFCRHjx6Vo0ePiqIoMm/ePDl58qTk5ORc8Thff/21ALJ79+4idZmZmRIXFye9evWSHTt2yKJFiyQwMNAvrcDYsWMlJCREPvjgAzl48KB89dVXUrVqVenWrZuvzdNPPy3ffvutpKamyq+//ipPP/20KIoiX331VYlyUcwuuZo1a8qnn35a4j0l7ZIrpHCHYXG75MaMGSMVKlQQj8dTpO6HH34Qs9ksU6ZMkd27d8vYsWNLTCtQkiynTp2SqKgo6dq1q2zdulVSUlLkySeflICAAL/t/iIis2fPFpvNVmzaiJSUFHn33Xdl7969smHDBunevbtERkZKamqqr82RI0ckJCREhg4dKikpKbJ8+XKJjY2V//znP742ixYtEqvVKvPmzZNdu3bJwIEDJTw8XNLT00XEu2uyWrVqcsstt8iGDRtk//79MmXKFFEURVasWFHivEvDXyatwN8Bw2AyMDAQKZu0Aj9n5kqHjSnS4qdd0mXzXumxdb902bxXWvy0S+7emHLVUgvk5+fLE088IUlJSRIaGiqtWrWSjRs3+urHjx8v5cqVE0VR/lBagR49ekjz5s1LrN+2bZu0bNlSrFarVKxYUSZNmuRX73a7Zdy4cVK1alWx2WySkJAgjz76qN/Lvl+/fpKUlCQWi0ViYmKkdevWFzWWRIo3mACZO3duifdcqcGkaZrEx8fLv/71rxLvXbx4sdSoUUMsFovUqVPnkkZDcbL88ssv0rZtW4mMjJSQkBC5+eabZeXKlUXubdasmTz44IPF9rtr1y6pX7++2O12CQ0NlU6dOsmePXuKtFu/fr00bdpUrFarVKlSRV544YUixuCrr74qiYmJYrFYpEmTJvLTTz/51e/du1e6du0qsbGxEhgYKPXq1SuSZuBKuNoG02Udvvt3xzh818DAAMru8N1fsvKYc/QU+/IdOHXBqirUCLTRNz6Gm8KCLt2BgYGBj6t9+K4Rw2RgYGBwjbgpLIhGoYGk5DnI9GiEm03UDLKVeSoBAwODP45hMBkYGBhcQ1RFKdPUAQYGBlcHI62AgYGBgYGBgcElMAwmAwMDAwMDA4NLYBhMBgYGBgYGBgaXwDCYDAwMDAwMDAwugWEwGRgYGBgYGBhcAsNgMjAwMDAwMDC4BIbBVAqMw3cNDAwMDAz+3hgGUykYMmQIu3bt4pdffrnWohgYGBgYGBhcAwyDycDAwOBvRG5uLn369CEuLg6r1UrFihUZP348AN988w2KopCZmXnF/Rf2Udyn8I/OcePGFVsfFPT7cTBut5vx48dTtWpVbDYbycnJfPHFF35jfffdd3Ts2JEKFSqgKAqfffZZEXlKkmXy5MklzkHTNJ599lkqV66M3W6natWqPP/885x/ktiJEyfo06cPFSpUIDAwkLvuuot9+/b59fPWW29x2223ERoaWqxeS6OrQ4cOFVv/008/+fr59NNPady4MeHh4QQFBVG/fn3efffdIvPavXs39957L2FhYQQFBXHTTTdx5MiRi46jKAofffTRRfW5aNEiv3GcTifPPPMMSUlJWK1WKlWqxJw5c3z1pXm21yNGpm8DAwODa4iuC3tP5pCV7yYsMIAasSGo6tU7GmXevHksW7aMZcuWkZCQQGZmJocPHy6z/ps3b05aWppf2bPPPsvq1atp3LgxAE8++SSDBw/2a9O6dWu/sIcxY8bw3nvv8fbbb1OrVi2+/PJLunTpwvr162nQoAEAeXl5JCcn069fP7p27VqsPBfK8vnnn/PII49w3333lTiHF198kddff5358+dTp04dNm7cSN++fQkLC+Oxxx5DROjcuTMBAQH897//JTQ0lKlTp9KmTRt27drlM/zy8/O56667uOuuuxg9evQV6aqQr7/+mjp16viuo6KifP+PjIzkmWeeoVatWlgsFpYvX07fvn2JjY2lXbt2ABw4cICWLVvyyCOP8O9//5vQ0FB27tzpO3MtISGhiCxvvfUWkydPpn379n7lc+fO5a677vJdh4eH+9V369aNEydO8M4771CtWjXS0tLQdd1XX5pne11yxcf2/g0pi9OODQwM/vpc7FT0y2HjoQz5v/c3S/vp30nrKWul/fTv5P/e3ywbD2WUkaRFWbNmjVgsFhk2bJh8+eWXkp+fLyIiqampAvh9evfu/YfHc7lcEhMTI+PHjy+xzdatWwWQ7777zldWvnx5ee211/zade3aVXr27FlsH4AsWbLkkvJ06tRJ7rjjjou2ufvuu6Vfv34ljp2SkiKA7Nixw1evaZrExMTI22+/XaS/tWvXCiBnz5696LjF6arwuWzZsuUSM/OnQYMGMmbMGN919+7d5aGHHrqsPurXr19ED5fS8+effy5hYWGSkVHyd/hyn21pudjPZVm8vw2XnIGBgcE1YNPhM7ywYjc7jmURajMTHxFIqM3MzuNZvLBiN5sOn7kq4yYnJ9O/f3/GjBlDdHQ0/fr1Y9q0aSQkJPDJJ58AkJKSQlpaGjNmzABgwoQJBAcHX/RT6Nq5kKVLl5KRkUHfvn1LlGn27NnUqFGDW265xVfmdDqLnDhvt9tZt27dFc/9xIkTrFixgkceeeSi7Zo3b87q1avZu3cvANu2bWPdunW+lRan0wngJ5+qqlit1j8k38V0de+99xIbG0vLli1ZunRpiX2ICKtXryYlJYVbb70VAF3XWbFiBTVq1KBdu3bExsbStGnTYl2YhWzatImtW7cWq6shQ4YQHR1NkyZNmDNnjp+rcunSpTRu3JiXXnqJihUrUqNGDZ588kkKCgp8ba7Gs/0zMFxyBgYGBn8yui7MX3+YzHw3laICURSvCy7IaibQYuLwmXwWrD9Mg4SIMnfP9e3bl0GDBhEdHU10dDRz586latWq1K1bl8jISABiY2P93CyDBw+mW7duF+23QoUKxZa/8847tGvXjvj4+GLrHQ4HCxcu5Omnn/Yrb9euHVOnTuXWW2+latWqrF69mk8//RRN0y5jtv7Mnz+fkJCQEt13hTz99NNkZ2dTq1YtTCYTmqbxwgsv0LNnTwBq1apFYmIio0eP5s033yQoKIhp06Zx9OjRIm6ty6E4XQUHB/Pyyy/TokULVFXlk08+oXPnznz22Wfce++9vnZZWVlUrFgRp9OJyWRi1qxZ3HnnnQCcPHmS3NxcJk2axH/+8x9efPFFvvjiC7p27cratWtp1apVsbLUrl2b5s2b+5WPHz+eO+64g8DAQL766iseffRRcnNzeeyxxwA4ePAg69atw2azsWTJEk6fPs2jjz5KRkYGc+fOBa7Os/1TuPLFr78fhkvOwMBA5I+75HanZUn76d9J9zfWS7+5Pxf5dH9jvbSf/p3sTivb3zVHjx4VQI4ePepX3rlzZxk2bFipXUel5bfffhNVVeXjjz8usc37778vZrNZ0tPT/cpPnjwpnTp1ElVVxWQySY0aNeTRRx8Vm81WbD+UwiVXs2ZNGTp06CXl/uCDDyQ+Pl4++OAD+fXXX2XBggUSGRkp8+bN87XZuHGjJCcnCyAmk0natWsn7du3l7vuuqtIf6XRa2l0VUivXr2kZcuWfmWapsm+fftky5YtMmXKFAkLC5O1a9eKiMixY8cEkB49evjd07FjR/nHP/5RpP/8/HwJCwuTKVOmXFKWZ599VuLj433Xd955p9hsNsnMzPSVffLJJ6Iois/9e7nPtrQYLjkDAwOD/zGy8t24PBq2AFOx9bYAEy6PRla+u0zHLVz9cLlcfuUiwunTp0u870pdcnPnziUqKspvJeRCZs+ezT333ENcXJxfeUxMDJ999hl5eXkcPnyYPXv2EBwcTJUqVS5nyj6+//57UlJS6N+//yXbjhw5kqeffpp//OMf1K1bl169ejF8+HAmTpzoa9OoUSO2bt1KZmYmaWlpfPHFF2RkZFyxfKXRVSFNmzZl//79fmWqqlKtWjXq16/PE088wf333++TNzo6GrPZzA033OB3T+3atYt9bh9//DH5+fk8/PDDpZLl6NGjPjdl+fLlqVixImFhYX7jiAhHjx4Fyv7Z/lkYLjkDAwODP5mwwAAsZhMOt0aQteivYYdbw2I2ERYYUKbjVqtWDUVRWLduHZUrVwa8xtOGDRsYNGgQFosFoIhr5EpcciLC3LlzefjhhwkIKH4eqamprF279qIxOTabjYoVK+J2u/nkk08uKUdJvPPOOzRq1Ijk5ORLts3Pz0dV/dcTTCaT306vQgoNg3379rFx40aef/75y5atNLo6n61bt1K+fPmLttF13WfEWCwWbrrpJlJSUvza7N27l6SkpCL3vvPOO9x7773ExMSUSpaIiAisVisALVq04KOPPiI3N5fg4GDfOKqqFnHLltWz/bMwDCYDAwODP5kasSFUiw1m5/EsAi0mXwwTeF+ep3Kd3FghjBqxIWU6bnh4OL1792bUqFFER0eTlJTExIkTycnJYcCAAYA3z87y5cvp0KEDdrud4OBgIiMjffFNpWXNmjWkpqZedEVnzpw5lC9fvsi2dYANGzZw7Ngx6tevz7Fjxxg3bhy6rvPUU0/52uTm5vqttKSmprJ161YiIyNJTEz0lWdnZ/PRRx/x8ssvFytH69at6dKlC0OHDgWgY8eOvPDCCyQmJlKnTh22bNnC1KlT6devn++ejz76iJiYGBITE9m+fTvDhg2jc+fOtG3b1tcmPT2d9PR0n4zbt28nJCSExMREP31eTFfz58/HYrH4ttt/+umnzJkzh9mzZ/vaTJw4kcaNG1O1alWcTicrV67k3Xff5fXXX/e1GTlyJN27d+fWW2/l9ttv54svvmDZsmV88803fuPt37+f7777jpUrVxaRZdmyZZw4cYKbb74Zm83GqlWrmDBhAk8++aSvzYMPPsjzzz9P3759+fe//83p06cZOXIk/fr1w263A6V7ttclV+zM+xtixDAZGBiIlE1agY2HMqTLzHVyx5S10v2N9dL7nQ3S/Y31cseUtdJl5rqrllogPz9fnnjiCUlKSpLQ0FBp1aqVbNy40Vc/fvx4KVeunCiK8ofSCvTo0UOaN29eYr2maRIfHy//+te/iq3/5ptvpHbt2mK1WiUqKkp69eolx44d82tTGBt04edCud98802x2+1+cTXnk5SUJGPHjvVdZ2dny7BhwyQxMVFsNptUqVJFnnnmGXE6nb42M2bMkPj4eAkICJDExEQZM2aMX72IyNixY4uVb+7cuaXW1bx586R27doSGBgooaGh0qRJE/noo4/82jzzzDNSrVo1sdlsEhERIc2aNZNFixYV6eudd97xtUtOTpbPPvusSJvRo0dLQkKCaJpWpO7zzz+X+vXrS3BwsAQFBUlycrK88cYbRdru3r1b2rRpI3a7XeLj42XEiBG++CWR0j3bK+FqxzApIuftBzS4KNnZ2YSFhZGVlUVoaOi1FsfAwOAa4XA4SE1NpXLlykW2R18Omw6fYf76w+w/mYvL43XDVY8N5uHmSTRKurwVHQODvzsX+7ksi/e34ZIzMDAwuEY0SoqkQULEn5rp28DA4MowDCYDAwODa4iqKtQqZ6xYGxhc7xhpBQwMDAwMDAwMLoFhMBkYGBgYGBgYXIK/lcGUmZlJ48aNqV+/PjfeeCNvv/32tRbJwMDAwMDA4C/A3yqGKSQkhO+++47AwEDy8vK48cYb6dq1K1FRUddaNAMDAwMDA4PrmL/VCpPJZCIwMBDwnpYsIhhZFQwMDAwMDAwuxXVlMH333Xd07NiRChUqoCgKn332WZE2M2fOpFKlSthsNpo2bcrPP/98WWNkZmaSnJxMfHw8I0eOJDo6uoykNzAwMDAwMPhf5boymPLy8khOTmbmzJnF1n/44YeMGDGCsWPHsnnzZpKTk2nXrh0nT570tSmMT7rwc/z4ccB7NMC2bdtITU3l/fff58SJE3/K3AwMDAwMDAz+ulxXMUzt27cv9kyhQqZOncqAAQPo27cvAG+88QYrVqxgzpw5PP3004D3IMDSEBcXR3JyMt9//z33339/sW2cTqfv8ELwZgo1MDAwMDAw+PtxXa0wXQyXy8WmTZto06aNr0xVVdq0acOPP/5Yqj5OnDhBTk4OAFlZWXz33XfUrFmzxPYTJ04kLCzM90lISPhjkzAwMDC4xuTm5tKnTx/i4uKwWq1UrFiR8ePHA/DNN9+gKAqZmZl/aIy9e/fSqVMnoqOjCQ0NpWXLlqxdu9avjaIoRT6LFi3ya/PNN9/QsGFDrFYr1apVY968eUXGulSYxltvvcVtt91GaGhoqef2+uuvU69ePUJDQwkNDaVZs2Z8/vnnfm0GDRpE1apVsdvtxMTE0KlTJ/bs2VOkr3nz5lGvXj1sNhuxsbEMGTKk2DH3799PSEgI4eHhRe6/UE8XHvuRm5vL0KFDiY+Px263c8MNN/DGG2/4tbntttuK9DN48GC/Npd6JoXfjws/6enpl6W7vyrX1QrTxTh9+jSaphEXF+dXHhcXV+yXtDgOHz7MwIEDfcHe//d//0fdunVLbD969GhGjBjhu87OzjaMJgMDg7JF1+HUbijIBHs4xNQG9er9LTtv3jyWLVvGsmXLSEhIIDMzk8OHD5fpGPfccw/Vq1dnzZo12O12pk+fzj333MOBAwcoV66cr93cuXO56667fNfnGwupqancfffdDB48mIULF7J69Wr69+9P+fLladeuHfB7mMYbb7xB06ZNmT59Ou3atSMlJYXY2FgA8vPzueuuu7jrrrsYPXp0qeSPj49n0qRJVK9eHRFh/vz5dOrUiS1btlCnTh0AGjVqRM+ePUlMTOTMmTOMGzeOtm3bkpqaislkArxekZdffpnJkyfTtGlT8vLyOHToUJHx3G43PXr04JZbbmH9+vVF6kNDQ0lJSfFdK4r/0TkjRoxgzZo1vPfee1SqVImvvvqKRx99lAoVKnDvvff62g0YMMBnHAO+TVDnc7FnUkhKSorfeWyFui6t7v6yXPGxvVcZQJYsWeK7PnbsmACyfv16v3YjR46UJk2a/CkylcVpxwYGBn99LnYq+mVx+CeRj/qJvN5C5NXG3n8/6uctv0qsWbNGLBaLDBs2TL788kvfKfKpqakC+H169+592f2fOnVKAPnuu+98ZdnZ2QLIqlWrfGUX/o6/kKeeekrq1KnjV9a9e3dp166d77pJkyYyZMgQ37WmaVKhQgWZOHFikf7Wrl0rgJw9e/ay5yQiEhERIbNnzy6xftu2bQLI/v37RUTkzJkzYrfb5euvv75k30899ZQ89NBDMnfuXAkLC/OrK67sQurUqSPjx4/3K2vYsKE888wzvutWrVrJsGHDLtrPpZ7JlerwUrorKy72c1kW7++/jEsuOjoak8lUJEj7xIkTfn+xGBgYGPwlOLIBvnoG0raBLQzCk7z/pv3qLT+y4aoMm5ycTP/+/RkzZgzR0dH069ePadOmkZCQwCeffAJ4VxDS0tKYMWMGABMmTCA4OPiinyNHjgAQFRVFzZo1WbBgAXl5eXg8Ht58801iY2Np1KiRnyxDhgwhOjqaJk2aMGfOHL80Lz/++KNfCAZAu3btfCEYZRGmURo0TWPRokXk5eXRrFmzYtvk5eUxd+5cKleu7PNCrFq1Cl3XOXbsGLVr1yY+Pp5u3brx22+/+d27Zs0aPvrooxI3O4HX5ZaUlERCQgKdOnVi586dfvXNmzdn6dKlHDt2DBFh7dq17N27l7Zt2/q1W7hwIdHR0dx4442MHj2a/Pz8ImNd7JkUUr9+fcqXL8+dd97JDz/8UKLcpdHdX4m/jEvOYrHQqFEjVq9eTefOnQHQdZ3Vq1czdOjQqzr2zJkzmTlzJpqmXdVxDAwM/iboOvz8ltcNF1kFCl0slmCIDIIzqfDL2xB/U5m75/r27cugQYOIjo4mOjqauXPnUrVqVerWrUtkZCTgdbGc74oZPHgw3bp1u2i/FSpUALzuoq+//prOnTsTEhKCqqrExsbyxRdfEBER4Ws/fvx47rjjDgIDA30upNzcXB577DEA0tPTiw3ByM7OpqCggLNnz/7hMI2LsX37dpo1a4bD4SA4OJglS5Zwww03+LWZNWsWTz31FHl5edSsWZNVq1ZhsVgAOHjwILquM2HCBGbMmEFYWBhjxozhzjvv5Ndff8VisZCRkUGfPn147733/Fxc51OzZk3mzJlDvXr1yMrKYsqUKTRv3pydO3cSHx8PwKuvvsrAgQOJj4/HbDajqipvv/02t956q6+fBx98kKSkJCpUqMCvv/7KqFGjSElJ4dNPP/W1udQzKV++PG+88QaNGzfG6XQye/ZsbrvtNjZs2EDDhg0vS3d/Sa54beoqkJOTI1u2bJEtW7YIIFOnTpUtW7bI4cOHRURk0aJFYrVaZd68ebJr1y4ZOHCghIeHS3p6+p8in+GSMzAwECkDl1z6Dq/7bW4HkYXdin7mdvDWp+8oU7mPHj0qgBw9etSvvHPnzjJs2LA/7LYSEdF1Xe69915p3769rFu3TjZt2iT//Oc/pWLFinL8+PES73v22WclPj7ed129enWZMGGCX5sVK1YIIPn5+ZcdpnG5c3M6nbJv3z7ZuHGjPP300xIdHS07d+70a5OZmSl79+6Vb7/9Vjp27CgNGzb0fSdeeOEFAeTLL7/0tT958qSoqipffPGFiIh06dJFRo0a5asvjfvN5XJJ1apVZcyYMb6yyZMnS40aNWTp0qWybds2efXVVyU4ONjPBXohq1ev9nMhFseFz6Q4br31VnnooYf8ykqju6vB38olt3HjRho0aECDBg0AbyBbgwYNeO655wDo3r07U6ZM4bnnnqN+/fps3bqVL774oshfGAYGBgbXNQWZ4HGC2V58vdnurS/ILNNh09LSAK8763xEhNOnT5d43+W45NasWcPy5ctZtGgRLVq0oGHDhsyaNQu73c78+fNLHKNp06YcPXrUl8qlXLlyxYZghIaGYrfbr3qYhsVioVq1ajRq1IiJEyeSnJzsc1EWEhYWRvXq1bn11lv5+OOP2bNnD0uWLAG8qzGA38pKTEwM0dHRfrqaMmUKZrMZs9nMI488QlZWFmazmTlz5hQrV0BAAA0aNGD//v0AFBQU8K9//YupU6fSsWNH6tWrx9ChQ33vy5Jo2rQpgK+fktqc/0yKo0mTJkX6KI3u/opcVy6522677ZJHlQwdOvSqu+AMDAwMrir2cDBbwVPgdcNdiKfAW28PL9Nhq1WrhqIorFu3jsqVKwNe42nDhg0MGjTI5066MPzgclxyhXEx6gWuRFVV0XW9xPu3bt1KREQEVqsVgGbNmrFy5Uq/NqtWrfLFwvzZYRq6rl/UcJBzu68L27Ro0QLwxoMVus7OnDnD6dOnSUpKArxxWufr+r///S8vvvgi69evp2LFisWOo2ka27dvp0OHDoB3h53b7S6ib5PJdEl9w++GXUltzn8mJbW5WB9wad39VbiuDKbrFSOGycDAoEyJqQ3RNb0B3pFBv8cwAYhAzkmokOxtV4aEh4fTu3dvRo0aRXR0NElJSUycOJGcnBwGDBgAeGOQli9fTocOHbDb7QQHBxMZGemLb7oUzZo1IyIigt69e/Pcc89ht9t5++23fWkCAJYtW8aJEye4+eabsdlsrFq1igkTJvDkk0/6+hk8eDCvvfYaTz31FP369WPNmjUsXryYFStW+NqMGDGC3r1707hxY5o0acL06dPJy8vzJTcGbyxUenq6bxVk+/bthISEkJiY6JtT69at6dKli8/QGj16NO3btycxMZGcnBzef/99vvnmG7788kvAG5/04Ycf0rZtW2JiYjh69CiTJk3Cbrf7DJkaNWrQqVMnhg0bxltvvUVoaCijR4+mVq1a3H777QDUru3/fDdu3Iiqqtx4442+svHjx3PzzTdTrVo1MjMzmTx5MocPH6Z///6AN+VAq1atGDlyJHa7naSkJL799lsWLFjA1KlTAThw4ADvv/8+HTp0ICoqil9//ZXhw4dz6623Uq9evVI/k+nTp1O5cmXq1KmDw+Fg9uzZrFmzhq+++srX5lK6+0tzxc68vyFGDJOBgYFIGaUVOPyTyNutRV5p7I1Zevc+77+vNBZ5u81VSy2Qn58vTzzxhCQlJUloaKi0atVKNm7c6KsfP368lCtXThRFuaK0AiIiv/zyi7Rt21YiIyMlJCREbr75Zlm5cqWv/vPPP5f69etLcHCwBAUFSXJysrzxxhuiaZpfP2vXrpX69euLxWKRKlWqyNy5c4uM9eqrr0piYqJYLBZp0qSJ/PSTv97Gjh1bJF0C4NdXUlKSjB071nfdr18/SUpKEovFIjExMdK6dWv56quvfPXHjh2T9u3bS2xsrAQEBEh8fLw8+OCDsmfPHr+xs7KypF+/fhIeHi6RkZHSpUsXOXLkSIl6Ky6G6fHHH/fNLy4uTjp06CCbN2/2a5OWliZ9+vSRChUqiM1mk5o1a8rLL78suq6LiMiRI0fk1ltvlcjISLFarVKtWjUZOXKk37usNM/kxRdflKpVq4rNZpPIyEi57bbbZM2aNX6yXEp3V5OrHcOkiFzCB2bgIzs7m7CwMLKyskrc0WBgYPC/j8PhIDU1lcqVKxfJunxZHNng3S13OuVcTJMVYmrBTQMgsWnZCWxg8DfgYj+XZfH+NlxyBgYGBteKxKbe1AF/YqZvAwODK8MwmEqBEcNkYGBw1VBViPuLHxlhYPA3wPgzphQMGTKEXbt28csvv1xrUQwMDAwMDAyuAYbBZGBgYGBgYGBwCQyDycDAwMDAwMDgEhgGk4GBgYGBgYHBJTAMJgMDAwMDAwODS2AYTKVg5syZ3HDDDdx0003XWhQDAwMDAwODa4BhMJUCY5ecgYGBgYHB3xvDYDIwMDAwMDAwuASGwWRgYGDwNyI3N5c+ffoQFxeH1WqlYsWKjB8/HoBvvvkGRVHIzMz8Q2Ns3ryZO++8k/DwcKKiohg4cCC5ubm++m3bttGjRw8SEhKw2+3Url2bGTNmFOnnm2++oWHDhlitVqpVq8a8efP86jVN49lnn6Vy5crY7XaqVq3K888/T0knfg0ePBhFUZg+ffpF5a9UqRKKohT5DBkyxNcmPT2dXr16Ua5cOYKCgmjYsCGffPKJXz8vvPACzZs3JzAwkPDw8GLHeuyxx2jUqBFWq5X69esX20ZEmDJlCjVq1PA9sxdeeMFXv27dOlq0aEFUVBR2u51atWoxbdq0Euc3adIkFEXh8ccf9ysfNGgQVatWxW63ExMTQ6dOndizZ0+xfWRkZBAfH1/s92XmzJnUrl0bu91OzZo1WbBgQYmy/JUwMn0bGBgYXEN00dmfuZ9sZzah1lCqhVdDVa7e37Lz5s1j2bJlLFu2jISEBDIzMzl8+HCZ9X/8+HHatGlD9+7dee2118jOzubxxx+nT58+fPzxxwBs2rSJ2NhY3nvvPRISEli/fj0DBw7EZDIxdOhQAFJTU7n77rsZPHgwCxcuZPXq1fTv35/y5cvTrl07AF588UVef/115s+fT506ddi4cSN9+/YlLCyMxx57zE+uJUuW8NNPP1GhQoVLzuGXX37xO9lhx44d3HnnnTzwwAO+socffpjMzEyWLl1KdHQ077//Pt26dWPjxo00aNAAAJfLxQMPPECzZs145513ShyvX79+bNiwgV9//bXY+mHDhvHVV18xZcoU6taty5kzZzhz5oyvPigoiKFDh1KvXj2CgoJYt24dgwYNIigoiIEDBxaZ25tvvkm9evWKjNOoUSN69uxJYmIiZ86cYdy4cbRt25bU1FRMJpNf20ceeYR69epx7Ngxv/LXX3+d0aNH8/bbb3PTTTfx888/M2DAACIiIujYsWOJOvhLcMXH9v4NKYvTjg0MDP76XOxU9Mthy4ktMvLbkXL/f++Xe5fcK/f/934Z+e1I2XJiS9kIWgxr1qwRi8Uiw4YNky+//FLy8/NFRCQ1NVUAv0/v3r0vu/8333xTYmNj/U65//XXXwWQffv2lXjfo48+Krfffrvv+qmnnpI6der4tenevbu0a9fOd3333XdLv379/Np07dpVevbs6Vd29OhRqVixouzYsUOSkpJk2rRplzWnYcOGSdWqVUXXdV9ZUFCQLFiwwK9dZGSkvP3220Xunzt3roSFhV10jLFjx0pycnKR8l27donZbJY9e/ZclsxdunSRhx56yK8sJydHqlevLqtWrZJWrVrJsGHDLtrHtm3bBJD9+/f7lc+aNUtatWolq1evFkDOnj3rq2vWrJk8+eSTfu1HjBghLVq0uCz5r4SL/VyWxfvbcMmVAmOXnIGBQVmz9eRWpmycwu6M3YRYQqgYXJEQSwh7MvYwZeMUtp7celXGTU5Opn///owZM4bo6Gj69evHtGnTSEhI8LmUUlJSSEtL87nJJkyYQHBw8EU/R44cAcDpdGKxWFDPO0DYbrcDXtdRSWRlZREZGem7/vHHH2nTpo1fm3bt2vHjjz/6rps3b87q1avZu3cv4HX1rVu3jvbt2/va6LpOr169GDlyJHXqXP6ZfS6Xi/fee49+/fqhKIrf2B9++CFnzpxB13UWLVqEw+Hgtttuu+wxLsayZcuoUqUKy5cvp3LlylSqVIn+/fv7rTBdyJYtW1i/fj2tWrXyKx8yZAh33313Eb0WR15eHnPnzqVy5cokJCT4ynft2sX48eNZsGCB3zMuxOl0YrPZ/Mrsdjs///wzbrf7kuNezxguuVIwZMgQhgwZQnZ2NmFhYddaHAMDg784uui8v+d9spxZJIYk+l7EgQGBJJgT+C3nNz7Y8wH1YuqVuXuub9++DBo0iOjoaKKjo5k7dy5Vq1albt26PoMlNjbWL+Zm8ODBdOvW7aL9Frq67rjjDkaMGMHkyZMZNmwYeXl5PP300wCkpaUVe+/69ev58MMPWbFiha8sPT2duLg4v3ZxcXFkZ2dTUFCA3W7n6aefJjs7m1q1amEymdA0jRdeeIGePXv67nnxxRcxm81FXHSl5bPPPiMzM5M+ffr4lS9evJju3bsTFRWF2WwmMDCQJUuWUK1atSsapyQOHjzI4cOH+eijj1iwYAGapjF8+HDuv/9+1qxZ49c2Pj6eU6dO4fF4GDduHP379/fVLVq0iM2bN19yt/esWbN46qmnyMvLo2bNmqxatQqLxQJ4jaEePXowefJkEhMTOXjwYJH727Vrx+zZs+ncuTMNGzZk06ZNzJ49G7fbzenTpylfvnwZaOXaYBhMBgYGBn8y+zP3k5qZSow9xm/VAkBRFKLt0RzMPMj+zP3UiKhRZuMeO3aMpUuXMmvWLF+ZzWajSZMmLF++nM6dOxd7X2RkpN/qz8WoU6cO8+fPZ8SIEYwePRqTycRjjz1GXFxcsSsSO3bsoFOnTowdO5a2bdte1nwWL17MwoULef/996lTpw5bt27l8ccfp0KFCvTu3ZtNmzYxY8YMNm/eXETPpeWdd96hffv2RWKfnn32WTIzM/n666+Jjo7ms88+o1u3bnz//ffUrVv3isYqDl3XcTqdLFiwgBo1avhkatSoESkpKdSsWdPX9vvvvyc3N5effvqJp59+mmrVqtGjRw9+++03hg0bxqpVq4qs/lxIz549ufPOO0lLS2PKlCl069aNH374AZvNxujRo6lduzYPPfRQifc/++yzpKenc/PNNyMixMXF0bt3b1566aVin/9fib+29AYGBgZ/QbKd2bh0FzZz8S8vq9mKS3eR7cwu03ELV3hcLpdfuYhw+vTpEu+7HJccwIMPPkh6ejrHjh0jIyODcePGcerUKapUqeLX765du2jdujUDBw5kzJgxfnXlypXjxIkTfmUnTpwgNDTU5+IbOXIkTz/9NP/4xz+oW7cuvXr1Yvjw4UycOBHwGhAnT54kMTERs9mM2Wzm8OHDPPHEE1SqVOmS+jp8+DBff/2130oNwIEDB3jttdeYM2cOrVu3Jjk5mbFjx9K4cWNmzpx5yX4vh/Lly2M2m33GEkDt2rUB/HQOULlyZerWrcuAAQMYPnw448aNA7xB9idPnqRhw4Y+PXz77be88sormM1mvwD3sLAwqlevzq233srHH3/Mnj17WLJkCQBr1qzho48+8vXRunVrAKKjoxk7dizgdb/NmTOH/Px8Dh06xJEjR6hUqRIhISHExMSUqW7+bIwVJgMDA4M/mVBrKBbVgsPjIDAgsEi90+PEoloItYaW6bjVqlVDURTWrVtH5cqVAa/xtGHDBgYNGuRzvZz/AoXLc8mdT6FLbc6cOdhsNu68805f3c6dO7njjjvo3bu33xb5Qpo1a8bKlSv9ylatWkWzZs181/n5+UVWLUwmE7quA9CrV69i46B69epF3759LzofgLlz5xIbG8vdd9/tV56fnw9w0bHLihYtWuDxeDhw4ABVq1YF8MVsJSUllXhf4coUQOvWrdm+fbtffd++falVqxajRo0qsgOuEBFBRHz9fPLJJxQUFPjqf/nlF/r168f333/vk62QgIAA4uPjAa878J577vnLrzAZBpOBgYHBn0y18GpUDq/Mnow9JJgT/NxFIsLpgtPUjqpNtfCyjYcJDw+nd+/ejBo1iujoaJKSkpg4cSI5OTkMGDAA8LoEly9fTocOHbDb7QQHB1+WSw7gtddeo3nz5gQHB7Nq1SpGjhzJpEmTfHFRO3bs4I477qBdu3aMGDGC9PR0wGtwFK5CDB48mNdee42nnnqKfv36sWbNGhYvXuwX59SxY0deeOEFEhMTqVOnDlu2bGHq1Kn069cPgKioKKKiovxkCwgIoFy5cn6urNatW9OlSxdfSgPwGhxz586ld+/emM3+r8patWpRrVo1Bg0axJQpU4iKiuKzzz5j1apVLF++3NfuyJEjnDlzhiNHjqBpGlu3bgW8hmtwcDAA+/fvJzc3l/T0dAoKCnxtbrjhBiwWC23atKFhw4b069eP6dOno+s6Q4YM4c477/StOs2cOZPExERq1aoFwHfffceUKVN8cVshISHceOONfnMICgoiKirKV37w4EE+/PBD2rZtS0xMDEePHmXSpEnY7XY6dOgAUMQoKlyVrF27tu/Z7t27l59//pmmTZty9uxZpk6dyo4dO5g/fz5/ea54f93fECOtgIGBgUjZpBXYcmKL9FzRUzp+2lH6ft5XBq8aLH0/7ysdP+0oPVf0vGqpBfLz8+WJJ56QpKQkCQ0NlVatWsnGjRt99ePHj5dy5cqJoihXlFZARKRXr14SGRkpFotF6tWrV2T7/dixY4ukMAAkKSnJr93atWulfv36YrFYpEqVKjJ37ly/+uzsbBk2bJgkJiaKzWaTKlWqyDPPPCNOp7NE2YpLK5CUlCRjx471K/vyyy8FkJSUlGL72bt3r3Tt2lViY2MlMDCw2Hn27t272HmuXbvW16ZVq1bFtklNTfW1OXbsmHTt2lWCg4MlLi5O+vTpIxkZGb76V155RerUqSOBgYESGhoqDRo0kFmzZvmldriQC9MKHDt2TNq3by+xsbESEBAg8fHx8uCDD140ncHatWuLpBXYtWuX1K9fX+x2u4SGhkqnTp0uOyXClXK10wooIiWkRDXwMXPmTGbOnImmaezdu5esrCxCQ8t2qdzAwOCvg8PhIDU1lcqVK18yiPZibD25lff3vE9qZiou3YVFtVAlvAo9avWgfmz9shP4KiEi6LoTEQ1FMaGq1isOrjYw+KNc7OeycJf7H3l/GwbTZVAWCjcwMPjrU1YGE/z5mb7LCo8nD7c7A013gggoCibVSkBAFGZz0LUWz+BvyNU2mIwYJgMDA4NriKqoZZo64M/A48nD6UxHRANMgAIiaJoDXU8HyhlGk8H/HIbBZGBgYGBQakQEtzsDXfeg6yoiGiLiO6BWVT243WcwmQIN95zB/xSGwWRgYGBgUGp03YnH40DTQHQdBVAARNARvEEeBei6E5Ppj7krDf6aiAgel8v7/VBVzBbL/4TxbBhMBgYGBgalRsSDrmuIrnLhK1ABRAdd0RDxXAvxDK4xLkcB+VlZeFxO38qj2WIlMCwMi81+rcX7QxgGk4GBgYFBqdG0whhvASm6aqAo3lUmTQPz3/gNIyKI04loGorJhGL9399B6HIUkH3qFJpHw3uQiAoIuqcAj8tFaEzMX9po+ht/nQ0MDAwMLhfxmNA1EyaTB5GiGaIVRUfTzIjHBNZrIOB1gJaXj3Ymw2swFcZ3Wa2YIqMwBRXN7P6/gIiQezYTze01lhRfSikQVDS3Ru7ZTCLK2f6yhuP1v3fVwMDAwOC6QTwamtuOiIKiahS+FEFQVA0RxVvv0S7Wzf8sWl4+nvR09AIHuqqgmRQ8iqAV5ONJT0PLy7/WIl4VPC4XHocTUM4ZS7/jvVbwOJx4LjjH8K+EscJkYGBgYFB6BPBYcBFEQIADRdVQFB0RBV0z43bbUDwW+Btm+BMRtDMZ6Jobp6qjaTo+RSgKFreGnnESW2DSX3aVpSQ8LjciOoh6zlN7/hdAAQFBx+NyE2D9ay49GgZTKTg/07eBgYHB3xnRdSy6gkOz4NTMmFT9nMGkoukqCioWXUHK+BDavwLidKI5CnAqGproeFdbvIaRAB5VRwrykLwsAoPDr6WoZY64C5+3d974bQk4zz3n/ut+LwyXXCkYMmQIu3bt4pdffrnWohgYGBj8IXJzc+nTpw9xcXFYrVYqVqzI+PHjAfjmm29QFIXMzMwS7zeZVDyaG7tuxiwmNN2ERwtA002YxYRdN7N522Y63teZ8PBwoqKiGDhwILm5uX79rF69mubNmxMSEkK5cuUYNWoUHs/vO+scDgd9+vShbt26mM1mOnfuXKw8TqeTZ555hqSkJKxWK5UqVWLOnDl+baZPn07NmjWx2+0kJCQwfPhwHA6HN3rdXQDOXO+/5w6++Oabb+jUqRPly5cnKCiI+vXrs3DhQr8+3377bW655RYiIiKIiIigTZs2bNiwAU33oJ9zQQ0d9QxRNW4kqsaNRNe4kciadenafxDZBZkUHrKxd+9eOnXqRHR0NKGhobRs2ZK1a9cWmee8efOoV68eNpuN2NhYhvxzkJ/cX375JTfffDMhISHExMRw3333cejQId/969ato0WLFkRFRWG326lVqxbTpk3zG+O7776jY8eOVKhQAUVR+Oyzz0r8HoD3gGRFUZg+fTomk4o3ianQ+NZbKFe18nmfKrz6xuuACRMevlm79pL6vR4xVpgMDAwMriGi6zj37UfPzkINDcNavRqKevX+lp03bx7Lli1j2bJlJCQkkJmZyeHDh0t9v27WEAGXx4HVZMWmmM+ZByCic/j4Ie7r9Q/uv/8+Zr3xOtnZ2Tz++OP06dOHjz/+GIBt27bRoUMHnnnmGRYsWMCxY8cYPHgwmqYxZcoUADRNw26389hjj/HJJ5+UKE+3bt04ceIE77zzDtWqVSMtLQ39vNWt999/n6effpo5c+bQvHlz9u7dS58+fVB0N1PHPgkeB95VERXMNgiKZv369dSrV49Ro0YRFxfH8uXLefjhhwkLC+Oee+4BvEZVjx49aN68OTabjRdffJH2ne7lp6VLiCsXW5icita3tODVSf8BQBGwmwNwiAun5sRmtnHPPfdQvXp11qxZg91uZ/r06dxzzz0cOHCAcuXKATB16lRefvllJk+eTNP6N5KXcYxDqamQdQRQST12ik6dOjFixAgWLlxIVlYWw4cPp2vXrmzevBmAoKAghg4dSr169QgKCmLdunUMGjSIoKAgBg4cCEBeXh7Jycn069ePrl27XvR7sGTJEn766ScqVKjg+16YMKMpXt0/9fjjPNS9B4WrS0HBIZjEjO44wfrVK6l3Q62L6ve65IqP7f0bUhanHRsYGPz1udip6JdD3qbNcnTEE3Kgc2fZ36GDHOjcWY6OeELyNm0uI0mLsmbNGrFYLDJs2DD58ssvJT8/X0REUlNTC/0mvk/v3r2L3J/rzJVTB/bJyQPHJf3AITl54LCcPnhETh44LOkHDsmU/7wkMVFRkl2Q7bvn119/FUD27dsnIiKjR4+Wxo0b+/W7dOlSsdlskp2dLRfSu3dv6dSpU5Hyzz//XMLCwiQjI6PE+Q4ZMkTuuOMOv7IRw4ZKiyYNRdJ3ipzaK3J6v/ff9J0iJ/eIOHKK9NOhQwfp27dvieN4PB4JCQmRmZNfkKxd2yVj73b5R5d7pX3r2yVjr/c6a9d2Oblvu6Sc3i25rlw5deqUAPLdd9/5+snOzhZAVq1aJSIiZ86cEbvdLl9//bVXrpN7isj90dtTxWw2i5b/+7tp6dKloiiKuFyuEmXu0qWLPPTQQ8XWAbJkyZJi644ePSoVK1aUHTt2SFJSkkybNs3vexFfsaKMf2aMpO/fL+n7D5z7nhyXU/v3Su6pPcXq+VL6LQ0X+7ksi/e34ZIzMDAwuAbkb97CyZdewrFrF6aQUAIqVMQUEopj925OvvQS+Zu3XJVxk5OT6d+/P2PGjCE6Opp+/foxbdo0EhISfCs5KSkppKWlMWPGDAAmTJhAcHAwwcHBxEXGkVS3HpXrVqNq3RuoVLc2iTfW4rfjpzCLBc2RjdkSQIA5wDem3e7NvbNu3TrA60a78HBUu92Ow+Fg06ZNpZ7L0qVLady4MS+99BIVK1akRo0aPPnkkxQUFPjaNG/enE2bNvHzzz8DcPDAAVau/JwOrW9BzFY0FDy6oKEgZivoGuSf9rnnCsnKyiIyMrJEWfLz83G73dhiw9BVMHu8i0w//LyRmje3omnbjjw+/nmOODJRRMekmIiKiqJmzZosWLCAvLw8PB4Pb775JrGxsTRq1AiAVatWoes6x44epXbd+sQnt6LboCc5dCzdJ3fDhg1QVYW5b7+O5vGQlZXFu+++S5s2bQgICChW3i1btrB+/XpatWpVan0D6LpOr169GDlyJHXq1PGVm1QTBXYXAZ5cFBReffNNaje+iTb3duL1t2ajODLJtztRUIvV86X0ez1guOQMDAwM/mRE1zm7cCFaVhYBiYm+HVNKYCABCQm4f/uNs+8vxF4/uczdc3379mXQoEFER0cTHR3N3LlzqVq1KnXr1vW9sGJjYwkPD/fdM3jwYLp16+aV3V1AevZRdA8EOcCkmQCVxAgbipyhwR2NOTVpEq9MeZnHR4wkLy+Pp59+GoC0tDQA2rVrx/Tp0/nggw/o1q0b6enpvjiqwjal4eDBg6xbtw6bzcaSJUs4ffo0jz76KBkZGcydOxeABx98kNOnT9OyZUvvkR0eD4N7d2fU44/icGtoIhT6FE2KgkU1Y3I7vK66AK+ht3jxYn755RfefPPNEmUZ8eRI4sqVo8VtzThjhpB8aNOiJfe2bkNiQkX2H/uN56e9wsaH/8mylQuxio6iKHz99dd07tyZkJAQVFUlNjaWL774goiICN8cdV1nwoQJzHj+aYJDQnl20nTa3tebn77+LxarhfIVKvD5h3PoMeBxBo14Bk3TaNasGStXriwiZ3x8PKdOncLj8TBu3Dj69+9fan0DvPjii5jNZh577DG/cqvoKGbICnYx8OEe1K91IxHhEfy8ZTP/nvoyR88cZux/RoLLg0M1+el58ZJll9Tv9YCxwmRgYGDwJ+Pctx/nwQOYY2KKbC9XFAVzVBTOAwdw7ttfpuMeO3aMpUuXkpyc7Cuz2Ww0adKE5cuXl3hfZGQk1apVo1q1alSvUpkGlRKpWCOJ0HqJRNatSEyd8uRGwukwqHxjdd585QWmTn+FwMBAypUrR+XKlYmLi0M9Z/y1bduWyZMnM3jwYKxWKzVq1KBDhw4AvjalQde9RsfChQtp0qQJHTp0YOrUqcyfP9+3yvTNN98wYcIEZs2axebNm/n0w4Ws+Ppbxk2ZiaaLdx+b4t3NpumCQxN00b0rIMDatWvp27cvb7/9tt+KyvmM/88EPlq8mDdnz6F8QAB6AJwKh1sfbE/TLrcTd1MNGj/Qmtfef43tW3aw/fufUXQdEWHIkCHExsby/fff8/PPP9O5c2c6duzoMxx1XcftdvPKyy9x523Nqd8gmXdmvsyB1MN8/+PPKCgcTz/JoCfG8HC3e/nlh2/59ttvsVgs3H///b7g8kK+//57Nm7cyBtvvOEzWkvLpk2bmDFjBvPmzSv6vdV1wnXBHaDQbXhv6t3ZiMqNKnH/gPsYNX4k8+d+QGC+AwX89Lx2zaX1e71gGEwGBgYGfzJ6dhbicqGUkI9GsdkQlws9O6tMxy18CbsuSB4oIpw+fbrE+853yQVHlaNclZuoX6kxDSrdxA3VbqJmjZtITU8jQBQiPQoPdb6HtCOHOHbsGBkZGYwbN45Tp05RpUoVX58jRowgMzOTI0eOcPr0aTp16gTg1+ZSlC9fnooVKxIWFuYrq127NiLC0aNHAXj22Wfp1asX/fv3p27dunTu3IXxTz/Oy6++hSY6mojvI+cOw/PoIIqJb7/9lo4dOzJt2jQefvjhYmWYPHkyL09+ibc/+JRqdepi0RXKeTTsOrgDoMCi4AzwJheokZhAVGQEhw4eQRSVNWvWsHz5chYtWkSLFi1o2LAhs2bNwm63M3/+fN8cAWrfcAMeHRAhOjqSqMgIDh89jibCm/PfJzQkhBfGPEn9Bg259dZbee+991i9ejUbNmzwk7dy5crUrVuXAQMGMHz4cMaNG1dqfX///fecPHmSxMREzGYzZrOZw4cP88QTT1CpZh0suvf5B4iC0wx5FgVnANzUoC4ej4cTR46jg0/Pa374hY73dbuofq8nDJecgYGBwZ+MGhqGYrEgTidKYNGjMsThQLFYUEPDirn7yqlWrRqKorBu3ToqV64MeI2nDRs2MGjQICwWC0CRnHPnu+QcLg/us0ex4MKFGY8i6ApUii6H3WPCghsHVjQCiIuLA2DOnDnYbDbuvPNOv34VRfHtsvrggw9ISEigYcOGpZ5PixYt+Oijj8jNzSU4OBjwbtNXVZX4+HjAG1t0/qqVgwB01TtPXRe/8+5EwISGQ6ys/XY993XpxIsvvujbRXYhL730Ei+88AJvvf8ptes3pABwYCFEzydR91CgqDhUr7Fk1YWMY2mcOZtJZGx5sj1m8vO9Wb8vXFVTVdW3069FixYAbN+bSli9ylhwcupMHhlnzpIYXwFFgYL8AlRVwSEBaARgB0wm07k5lpz3SNd1nE5n6ZQN9OrVizZt2viVtWvXjl69etGjZy8cEkAgTsyeANyKYMZNgOj8sG0XqqoSHRWFjooI/LD+J7r2HsrzEyaWqN/rDcNgMjAwMChjRARddyKioSgmVNX/4FVr9WpYq1TFsXs3AQkJfnUigicjA9sNtbFWr1amcoWHh9O7d29GjRpFdHQ0SUlJTJw4kZycHAYMGAB4jZjly5fToUMH7HY7wcHBREZG+uKbcp0eTmZEUI4zmNDwYEJHRUXHjBsNE1PnfkSb1m2IjQxn1apVjBw5kkmTJvnFRU2ePJm77roLVVX59NNPmTRpEosXL/a96AF27dqFy+XizJkz5OTksHXrVgDq168PeOOTnn/+efr27cu///1vTp8+zciRI+nXr58v0Lxjx45MnTqVBg0a0LRpU7bvSuHfk1+hw523EWjS8YjC63PfZ/nnq/hy8Ww0TCz74VcG9nmYYcOGcd9995Geng6AxWLx6eHFF1/kueeeY878d4mLT+T0qRMoAprVTI1gM+68bP499U26dGhDudgoDh7+jdEvzKBqpUSSb70blyY0a9aMiIgIevfuzXPPPYfdbuftt94iNTWVu++8HdwF1KhenU6dOvHkEyP494RJVArRGTdxKjWqVebW5k1RRefu1i2Z+fZ8xk57m959+qI7C/jXv/5FUlISDRo0ALwJmBMTE6lVqxYiwrffrmbKlMkMGTIQTStAVW3k5eWxf//vbuDU1FS2bt1KZGQkiYmJREVFERUV5fedCggIoFy5clStUZOTGRkc3riGTVu20rL5zQQHBbJl0yZG/nsKPbt2ICg8EtBZ98OPdO09lN6PDODezl2L1e91yRXvr/sbYqQVMDAwELn49mW3O1fy8w9LTu5eyclJkZzcvZKff1jc7ly/dnmbNktq93/I/vYd5NBDveRw/wFy6KFesr99B0nt/o+rllogPz9fnnjiCUlKSpLQ0FBp1aqVbNy40Vc/fvx4KVeunCiKUmxagUyHS349niUHjqfL2eMpkn9shxQc2y75x3bI2eMpcuB4utxz/z8kIjJSLBaL1KtXTxYsWFCkn9tvv13CwsLEZrNJ06ZNZeXKlUXaJCUlFUl1cOFra/fu3dKmTRux2+0SHx8vI0aM8KVKEBFxu90ybtw4qVq1qthsNomPT5DuvfvLlt0pPvmfGfFPSYyv4JP/3m4PFjtuq1atLinb4OGjZN9v6XJi3xa5s1UziYmKkIAAsyTFl5c+Dz4gP27eLtt+OyvHsr3fnV9++UXatm0rkZGREhISIjc3biDL331DPL/tFO3YLtEzUiXr5DF5qHcfCQkLk/CICLmn/Z2y9+dVfnqfPusNqXVjPQkKCpKYmBi59957Zffu3T55X3nlFalTp44EBgZKaGiwJCfXlpdfHiNnz26T7Oydkpt3UL7+emWxcyrue3C+HqZNm+b7Xvz3i6+kccNkCQsNEZvVKrWqV5Hnn35Msg5slIKjXnl7dOtySf1eCVc7rYAickFEmEGJZGdnExYWRlZWFqGhoddaHAMDg2uEw+EgNTWVypUr+22P93jycDrTz60smVEUFREdEQ+KYsJqLYfZHORrn795C2cXLsR58IA3psliwVq1KhEP9iSwYYNrMbVLkuvROJSRh2g6qqJjxY0JHQ0VJwHooqKYVCpFBRFsNl26wz8ZP/lVKSq/rlyW/Of3p6jnYsXPvVVtuLDjdXkVYMWB1xWIqlA+KpAY63lb/p25aBlH0fI0RPNt3EMxgSnIREFEPIey9T8kt8eTh8NxDF28MWzKuTBmER0UUBULNltFv+/olerVIm5UvVA+C1ZcmNDRVRWXcvl6Lg0l/VxC2by/DZecgYGBQRkgIrjdGYhoqKrlnFvOu4tLVS3ougu3+wwmU6DPBRfYsAH2+sl/aqbvP4pJAdUi6A7QRcWhWHx1IgrKuXrTdXq2rEkB1Qp6AYiu4FAt3izlADpe+a345JdzqQh0XUdVVcxms58L1b8/QFVA81pMDiy/G0nnIRaVAPU8BYmgnT2BJ9uDoKCoXj0ioGuCZHtQzBmo1gj0AtB1xav3wi6KkbvImCK43BmIuCk8661wucRr2AuCG7c7w+87eiV61XUFpxKArqqge9M2OBQLqAoqOqIrl5T3esQwmEqBcfiugYHBpdB1J5ruBFTcbve5F9Dv29ZNJhVNd6DrTkym3//6VVQVW80a107wyyRAXFhVJw6rBcUl6PrvbzxVFbAoWFUnAWIB7NdO0BKw4MJqcuGwBYBLR9eUwgUhVJOARcVqcmEhAKdT9SWULMRsNhMUFIT13A7H8/tTXDqarniNJr0Y542iIFYVs0UnkDzAG9Qv7gK0HIfX4DT/fmAvCmAC8YApPxeLLRCnzQJOr9FRKPiFchend113omsF576XyjnrzouIVzZE0LSi39HL1avi0hCtcA6K90wYzpdXhwATFtWJ4lbAFHJZY10rDIOpFAwZMoQhQ4b4lvQM/n6I6OTl7cPtziIgIIygoOooyvWxCnA9y3Y+15ucJclzpXKKaIiuo2nKOUMJVAQBdBHEo2AyibfdJYLCSx7jyu4rDSKCU3OiuzVUUbGYLSgBapH+xeUgRLJxmaLQ7SpmXUMR71ZxXTWhohMiWXicHjQ9D1UJwGwO9fXjnYMDTfPmSTKZ7KiqFY8nB113A4LJZEdRzBedX3G6AM6VeXzlimJCBJyeHORcsshQ8nGZwtHtKnbdiSoauqKiqypWnASTj9Opk5enAC5MKiiKAF73am5eLroehtnsdXNFSDZ5piDcdhOKLlgUF2Y8gHd1xYSOKKApZlxYCSQPl8OEx5WJoppQ3B7EZAKbgm7S0VXv9waz7jU2zuXWjJJT5KmB6HavnMq575cJr3tUFcHhCCIgIAQUE6I7z83ZjK670XWXt9/iInHOpVXQdSd5eftQlAACAiJR1QDc7iw0LaeYp6Diteq8iwnR4D1/147POIJzTS68xlvmdMIFWS58BAZWx2y+PMPtamIYTAYGlyAzaxO//baA7OwUNM2JyWQlNLQmCQkPEx7WyJCtFFxvcpYkT0REU86e3XBFciqKiq57X6qqolP4hvA6PxREVHRdQddduNwZ6JoDEfG67Ew2LAFRF40d8Xjyrui+0pDvzic7Lwubw4xZNyGoOBQnaoAZS4gd1XpejIkuWMVFBGfJUUJxq2bk3OqEBRcRcgaL6sKlOQvfoyiqGaslBlW14XSd8BpLRV7a/teKYsZkDip2fsXpQlHNIF79ingu6E/8riwCMbjRFQWTqqGio3ozBBWemYvHcxKL5fc3u9dg+h23Owu32/t/MxBGpvfiQtvaz95zE0jBOTW60TWHT0dea+PimNAIpTjD5Xc0LacE4+Y8cUphY4u4cblOXKKVf8oCpcSLEsa8hBz5+fsACA2tewk5/hwMg8nA4CJkZm1i545x5OadxFFgRdNMmEz55OZuIDvrIHVuHHfNDJPfZTuF02FF10yopoLrQrbrWc6S5MnLW8fJk1/j8dhwOoIvW05dN52L4fHGoYhu8i67KIKi6iiKhogJp/MUuq4hopxrr6NoeXg8TlRzHCZzEDaz/8qON1j3OJrmKXKfrjmx2SpcsdGU787nTHYGYc4gTKhoio6ueKOOTS5wZxYQEP670aRpAei6GbvJgU1zewN4z6UVsChOVNVzbhXjfOW4cTjSfg+CRwqzF1LSApmIB7c7p8j8iteFhqI6zy1knFvOEPz6VvDGWBWOacF57n7Vq8vzDCIR74rShUaSwbUhO3v7dWE0XX/r9gYG1wkiOikpb5CZlUZulh3dGYDJo6I7A8jNspGZlUZKypveHSbXSLbs7HTys+3gMmPyqOAyk59tJzs7/arJJrrOqSOHOLprB6eOHEIukhjvWsp5ufJoHiea5kLXXOAyXbacui6I7n0pi2ZCEdUbvyQqopl8Ro6ue9A1FXTFG9qhK+iaiq65yS84xdEz+fx2poA8p+eczILDeQpNcxd7n6a5cThPFTkCo3T6EM44zhDktnmNJfXcKot4DQyP4kHTNLRclzf2RQTdBR633WtoqBoWXNjEiQWX1yiEc8bQ+eN4DZVCd2Rh/aW9iTqa5qYg/wRup7NEXSiK/nufhcZYsSsahXvPziu6wFgqnVwGfzYej+Nai2CsMBkYlEROTgoZp3fiKrBhFpPPhaACKiZcBTYyTu8kJyeF0NDaf7psmWd24SqwYtK9kTLii5dQcRXYyDyzq8xlO5aymy1fLOPUocN43G7MAQHEVEqiwV0dqViz6Dg52SmczdiFM//PlbMkStKbqrpQTZ5zq0puFMWFrlsuS07RnCiqjojp96DdcygoICqoHkQzF+utEFGxqC4sJjcFbkjLclA+zIbN7EbzOBBdLf4+XUXzONB1BybT5QVZOzUnukvDopvR0VE8ut/KkEkBTfVgcpsQzzlj0aOj6wF4nEGYAwpQTBoUuiAVKWIs/REUvLHTmjjIzjiOyRyAYi24QBeFaXyK3ltcmX9LYwXpr0J+/r5rvspkGEwGBiVw8uQhdM2JooWe21Fy/jZgHUUzo2s5nDx56E83mE6dOozH4wRPSJGVBUHAY8LjyeXUqcOXJZvoeolb3I+l7Obrt98kOyMTETuIBRSNvMzdZPx2nDYDBvkZTWkHsvjlux8wRTtQtNBzqzPnv+Z+l/Nk+kEsO1LRM06gRsVhbdIWxVz2v55K1JuioyDo3nUWOOeSulDOi+rzXAIeRUpeuC/6wj6vThRQdKx6HmKOwOkRMnJdxAa5vbqTEnLViIKIhtvtumyDSRNvwLYiCqKftwu4UFABRRME3bfrSxUFEyoezYxooSiqhqp5IMCF2e64eiaIScGjuTCLeI1Pn6x/YERjJcngMjAMJgODEjh2xIHoJlTVjWgX5lJRvOW6iWNHHFQr2xMsLokzQxBNRSlWNlBUD6KpODMEqpauz2KTKFapSkTPntjrJ/Pjx5+SeeIM6EGYxIMiLkRR0RQbmSfO8OMnS7jv6ZooqkragSy+n78Vt55DaKTpknKefnMO6s8piEdHMatYy08kou8gAts/9EdV5UdJetNFPZcAQEdQ0HV/o6c0+vR6JgstjRJ2dl1UOm+txe0i2JROlhJGvseG21VoaJbUr7dcriDriUkx+Q5CVc6ZjP6CKucC1nWfn0p0wUYA+YqO4nFjcTowaRru0ICrul6jiPmc68yBny7+yIpWocCG4WRQCowYJgODEnCcCsGVF47Jkk/RV51gsuTjygvHcerPzyGinw3DeQnZnHnh6GdLlwYjf/MWTr70Eo5duzCFhBJQoSKmkFAcu3dz8qWX+O2rL0nfdwA0C2bd5U2toppQFDDrLtAspO/dz6kjhxFd2PLpr+SnncZ8KuCSOnTmheM+bMFkCyAgMhCTLQDHkQxOvvQS+Z+/Vwba+p2S9CZawDl3nIbmMSPaeRmYS6lP3eONXUItIc5JEURXS14RUXVEM6N7zJg0F1H6aaxSgO4xXbxfVffWey4/W7LVZEVFR9M9qL7XgeL7COIN5xYNl9uF0+lEEzcBYiLIrWDPz8fk8aArCuK2Xnx+V0BhT6KZEY+KuE2IZvbThfjkLf7ei5cVf6/B9UdgYPVrLYJhMBkYlITNo5L/W308mpUAezaKyQ3oKCY3AfZsPJqVgt/qY/P8+T9GipNSyaaU4iBy0XXOLlyIlpWFOTGB/AAhy5NDfoBgTohHy87myNLVeJxO73tKPXcKeuFqhGpC1cHjdHLy0EkyjuWQcfA0FlcOipjI/63BJeU0mazk20xkqUK+zYQ5OgitwMPZeW8i5yUNvFp6U1UPopsQUUFUVJN2+frUBN0VCKKgqOedj4F4r0XBc4l63RUIOrgxo4pOuGShCpfs11tfOh3k5ubSp08f4uLisNlsNLmxGf+ZPgkd4YcfNxCSGENmZjYKKmYCEASHp4DMrBzO5mSTK7lo4sHkzEMVQVEDvCkO9N/nN2XKm7Rt+xDly99EYmJzr7HIueDvc/v2f/stjQceGEK5ck2oWrUVY8a87JcgEsDpcPP88zOol3wHFapWpkGzprw7f6lPF/MXfEiHu3uSlNScpKTm3HvvADZu3I4vcRHwz3+OISysHmFh9QgPq0d4eF26dh3sDUkUBdFVJk9+mzvv7EW5ck1ITGxRbJqi4khJOcg//vF/JCQ0p3z5Jtx2Ww9++y0NgMOHj/nGvfCzZMlXvj4upYfvv/+l2D5OnDjta1O37l3FtnniiRd8bYYNG09ycgfi4m6iSpVW9OjxGHv3pvrN56mnJnHrrd2JiWlEy5YPFDvnTz/9kpYtH6BcuSbceGM7ZsyYW6J+fvppC5GRDYr09cMPG+nefSg1a7YmLKwey5ev8at3u90899w0mjXrSvnyTahZszX9+g3k+PHjJY71Z2C45AwMSiDMcZyotMocVzyExW/HHpiFatHQdRN5uZFkHa1H+bTKhEX/+T/EbkfeOdk0wuJ/LVE2d+W8S/bl3Lcf58EDFITbOXY2hQJ3PrroqIqKPSCQiqFRuNMywKoiigdNVL/4H0VRzgX9mvCcyiZHO4zm1jCZdbKcTiqkVSJN8VxUzrSCFE6KAx1BRcGOSsWQAJTjZ3H+/BW25h2uut5ys8qRmR1DeOhJAq9In4LJbcGtBGMKKEBVNRRFR0RB08xobjsBHjtu3exXr2tw5pjgyDFjN+sEhWsoCngwYcONR3djdltwXaxftwWxlm6n4bx581i2bBnLli0joVwMpw7vZtfBdAq0fLRzfj2T4g1c10Qjh1zyrAVoZhUQxKTjdDuI1gVUFY/qRkfQdBdmVwguBJfLQ6fObWnSJJkF7y5BdBW3y47oZsyWfMBJ9+6PEhsbzZdfLeDEiVMMHjSGgAAzY8cOA7xu0t69R3Lq5FlefWka8RUrcOLkSUxqAG6nVxfrfviZ++9rT5Om/yIgwMYrr8ymS5fB/PTTEipUjEXEu1ejTZsWzJr1vG8Hn9lsx+UMwmTyoJo0XC43nTp55X333SXepNQC3lU2r6v2wp1zBw/+Rrt2venVqwujRz9KSEgwe/bsx2bzunrj48uxd6+/ITBv3se88so87ryzJQCaptGt2xBiY6P56pweBl2gh0I2bVpKSEiw7zomJtL3/7Vr30fTfn/+u3btp3PngXTu3NZXVr/+DXTr1oH4+PKcPZvFpEmv06XLIH799XNMpt9XJ3v16sLGjb+yc+e+It+dVau+Z8CA0bz00tPccUdz9u49yGOP/Ru73cbAgT382mZmZjNo0DO0atWUU6cy/Ory8wu48caaPPRQFx56aHiRcfLzHWzbtpuRIwdx4401OHHIyfjJU7j33nvZuHFjkfZ/FobBZGBQAlEWnZ2ZaVQ21eNwZiKnQo6hBDgQtw1bTkUqO8NJzzxIPcsfSxp4RbKFBp+TrS6HMxNKli20/iX70rOzKMjPJlVyceHBoisEiKArOrmSQyoFxORXxGQrh0fOoIjNmygQ7x/xuq4jODCrUUSFBKN48kBzkYeGots5k3XiAh0WIG47tpwKXjnPHiTInYdJFSyAhpCraKQGQJVcQc+4VPK8stGbPTeeRD2S4+oZTgcfLVmfug6n94FHA7cDrFZQFAIsFpy5BVjddlweCx6Ty7drTNUsWMWEprmwyu/1p3/LZ//PWeSc8qB7BNUEoZFm6jSzE5doxezdkkmB5r5ov27NidkU6N3673QimgdFNG+mbtUMZpsvBqlOnTrk5uayePFiOrS5nZY3JlC5Sh0O/7aXu//RGYAKdSsBcP99XfnPzP8gCphRUERBR0dHQ0PwqBrn9gBi0nXE48JCGMMfew7V7OTDxYtBluDIi8QuFlRRcGhWvvrmS/bsOciHHy4kOrocVSubeOqpM/znPy8yYsQTmE2BrFnzHevXb2Tbuo2EBAeiaxrxCRUJUAIIcFtxeSzMfOX1c7pQUfQApk6qz7JlNfl61Ta6d+96zqi0YDIFERaW5P2+awGYdAsWlxm34sGjunli+Gh0FD78cDEiS3A6gtB1M6KZUdVzuwDPpR/wGqsq48a9QevWtzNmzBhfWfny3g0BbrcbRdGIiioHgKJ6/8BYtmwN997bAYslArdb+Prr79iz5yCLF79LVFR5qlfXGTUqg+eff4knnngcm131xdNFRMQRFhaKppkAxZue4lwgfkREDIoiPiN6xYoFVKqUxE033YLL5d2B2aPHw5jNTlSTTmJiRf71r8e45Zb7OHQojcqVE0ARXnzxaQBOnTrDjh37cDpt6LoJc4ATs8nDokXLufvu2+nXrxsASUnxDB/+CNOmzaF//3/45Q4bPvw/3H9/B0wmlRUr1vqt2rVpcwtt2tziuy40bAsJDQ3hs8/eIi83jCg9nPiIXF57rRJNmjThyJEjJCYm/pFfA1eMYTAZGJSAKSwUZ4FwLGMXNYKrozgb4FEFs64gzjwO5u7CU2DBFHZlJ1//EaIqheNyKReVTXPZiaoUfsm+lNAQzuq5UFCATfGgnHO1mQAbKrqY0Z2/ESI3clbJRyQfRSwIJrzmjQuUQIKJ9o0X4ErHaS1PAKfI1WI4lrGbGsHVwdUAj+I98QFHLqm5O9FzLQS5j+MO+H1cu6KgueFsgEKVqNg/TW+nCvZRw56A4ihBn9aj8OlsyD0LNwyFbAu4MyEoGkVVEB1cngKsJhuKBPpCk0V0nFoBupjQxIHVZOXUb8L2r8/iKtCwB5tRAwXNI5w96WbjV25atA8jKDEAk9V7tIfL472vaL8Or/Gku3EfPQrufExmlze2SVHAZEaxBEJQNFiDSU5Opn///owZM4YjKdvp9/gzNK5fl//r+w8+fOtlug98gg1ff4k9KBx3hIIowuzpb/H6jLf8vzcX6HbDsv8SU6kOAR4HYaYgPG4rJncgCgphuh2HlodbNAJNgWz/ZTt1at1AYnhVTB4TJlTat7ybUTnPcmB7Og1vrM+aL9bSsG4y02ZOZ/FnnxBot3NH29t49rFnCAzUsZpsIIG+8VURcnIL8Lg9lAstj90digIE6AH89ONP1LmhKeFhYbRqfivPPfk05rAgrKoFdDsooKJi0+woKNhc4ZhRMWFC0zR0XwIKQVcENGH112sZNvj/+Mf9A/h153aSEhJ5Ysjj3HPX3bg8HjznZcHWEX799Ve2b9/DS+OnoDgjAOGXH/dwQ63aVAyrRoDHm9qhbYu7eSrnOfZuP0HtG+vgdnhjJFvdeh9Ol4vaNWvx9PCnaNyksc8LqyPntiuA5vLwycdLGTrgn1hcEYgiKOIN3ne63XjQyc/PZ8H8z0lMTCQyvDb5ef4bMtyuQK+h5AzHhIrD48aJTn6egs0eQl5u1O96V6I4fvwEKXsKSEhIAODDDz/k4IF0pk19kxkzZpxbqY2iJJyOkKL1AlESzFnXCcLLJbAjdReKohAeHl5iP1cbw2AyMCiB1IrlUT3bcbibsfHMFkJMKhY1AJfuJkcTApVEAjw/klqxIxX+ZNl+i1EIYAf57iZsOrOF4PNky9UEu5KInZ/5LUah5iX6OhINR0NdVDzmIicMv6x9iuiEZ7tIraCisp0g9WYK5DC6ngm4AROqGoNdScQs3vEARH7A4m6PKyAKi9tNDlXZeHYHISYIUMy4NQc5uk6wJFIt/VtyQnS8ToHCI9qFiFw4Wt5ETPUql5zD+ei6sPdkDln5bsICA6gRG4J67mT4i+tNQTEncKRgG8EmiupTfuK3/Wup6ciH6DqgmEFVwZ0P2cdwWaOAAkSCyPfko6KgKgq6yDlXo4UAjxOP2UqeO4+dP5/EWeAmKLxw95eKOcBDYEQAjiwXOzfkUKFyedxWKwqn0S/SryJ5FGQVYNU8mK2ucwHmCuggugeVPBTNCaEV6du3L4MGDSI6xEZ0jQrMmTqe6s3voU6NGkSEhQNQqVwgEhJGpk0jAKFX7we4p1O733WMEJQLFrc324ECxJaLweJ24bDYcLrOYFEDQHcjAlmuMyhqIIoEkOvJ43j6UaKjItE8BTh1D5q4iQj3rtSeSD+Ko2YVDhw6wI+//EyAxcr8ma9xPOcszzw3jtyMbF556TWfLhRF8SbURHh6wrPExcXS7OZGuN156Ojc2rIZ7e68nSqJlUg9cpjnJ79Ip4c3seLjZZhMBd7vneJNzeDy5HlXOzxO3AhO9HN9e3OZK4qCiom0U2nk5uUybdZ0nnniKcaN+hdff7uangN789/3P+S2ZreiKr+/XhVUPn7/Q2pWq0GLBjehal73ZsbJk8RGxaB43DilAJNiJjbS+wxOp6UTUrsBVWMSeGXCyzSol4zT6WLeogV07NaZbz77kvp1kwFBPedC1UXn45UryMrOoluXTige17ns6l6jb+F7H/DsxH+Tl59HjarVWfHep8Saw1D0wgN8vD8ndrFgQkXxuPCITqDJhlmx0+HWtjw1UwkmnwAAmz5JREFU/l9s+24jtzW/lf2H9jP7La8h7UjPIapiMPtTDzBp4kRWf/wFcWo4drFgxkSU/rs78UJCxFak/qzrBGfJQzHFgglGjRpFjx49CA398/9ALcQwmAwMSsARUMCGugfpsMFFVuit5JoDcaKhKiaiPfmE5XzLyqZHSQwo+NNly3HlsOHGVNp9X0BmaCtyA+w40VFVlShXPuE53/Jly3Rquy5+7hRAtjOLdXXddM2AsCyFvEBwmyHAA0H5Cg6b8G09D5hTuXed0zuerZbvJRLsKDqeV7ZPyQxtRb6tHBbCUK2349TP4NJyQBGitHxCz3yLS0klPAvyAxU8JjBrCsH5gsMGPzQyUc2TW2q9bDp8hvnrD7P/ZC4uj4bFbKJabDC9myfRKCmyRL0pqkqkM5/ok3s5HVGN3IDAovpsdpjabisSUZU8saKLoKEgZiuKxwmuTPLsTsJyBc0UjKaq3mPCFDDrOqqWS67NSYjDTfYZM9kZHmxBASiKNwmjIh7cJh1VTAQGK2Sc0jh6JpDgQA95dhehOcX3a9JzyQ5yYXaaMVm9QeGarqKjIIp35UVzC2Y00vbvYOnSpcyaORPyToOuYQsOpVH9uqxY8x33tmsNeHcDmU3euB1VhLCICEIjInx61hEUjxCZAybdmxZJU0DRcrG5wBUQjhsP7nP5kkxKOFZXNqruxmkJQ5QABBWXBIBiR1HNuPEGMbt10AhCF6+B8vbkF6GclRqEMkryePyREUwZOw5rYDS6qvpWWWa+/ir/Xb6cJe9/isUagfvcOlynex8818JFtZo3UKNmPZre1pRf1q+nZctW6IrqdQcpJnTFm8fKcc7VhRLgVTQqGvo535HGuSTstGvTjkf6DgY0atS+kZ82bWbOwve5qUkzkN9/LxQ4Cvjwvx8zfMhj5HkcFJ7B5tY1NHQcuiBYUfBQcC4WyalrZLsziUuI4oGEzueeijA5eRL7D6UybfarvDZlmu+JFKZamLNoAXe0up3ouCQKdA9wTlhRuPuetjRt1oATJ0/yxux3ePCfvVm6+ENsVivn7xpwaLnoouHQFFAsuNz5QCZd72/P7tSddO3bDbfHQ0hwMP17P0zKK/vI0zI5XXCcnkMfZsRjQ4mOD+Gs6wQOLRdN3Jy9yLl0uZ7MYuqDUE1BHLemMqDbc4gIr7/+eol9/BkYBpOBQQnEnT1AenmN7xof4aZt75F0uhwodpACcoLS+a4xpJcX4s4eAG77U2ULzTtNenmNH5ofo+HG94jKiMN7RHgBucEn+KGZSnp5b7tLEbhvB2nlNL5qqdL4V4WoM4KtADQTHI9V2JQsHC+v8f/snXdgXMXV9n8zt2xR73JRccWm2AZTDSG0UAIkQCCUEFqAQCChdwKh9x5KIAkQCDWhJHRCDR0DNsW9F0mW1VbaesvM98ddrSRbcgFsyPvpSYx278ycc2autPfZM2fOEYZYZ33dtk2c+hBVbVXYXpRoOgkIkpEIjpEkkdfE4ztnH2ofCyrbIOJrfEPQUCH4cJKkYR3nAAFZuur5mXQkXSoLQoStEGnX56uGGFc9P5OL9h1Podv/umlSNBY28Oammk2Wvkfd8iEIoj3z207QWO2jUjB9eTuZkElohCbtKqTwsaWJ6WdwLU1XnkNeso2QZxI85BS+9OjKg3gItJHBXR5HeR5WxEAohRYKz8jmY/Q1nmGR8XyWt/pUFSbwTU083yGabCPk9JJreMTzwDE1pq8R+Lha4gkDhQAhEFoj0Pg+LFu2FAAn2QW2wBcmaS/IvrSyrQMv62HwMYkIDxmEO3NXP1ty3duC3f7Ij/71LMOGDUETJ5yOo2UEy3MRaKKphu6yekRSzQwrLmD6tBVEMkmkcpDKo2lFOwDDSyuIpjsYWlZEdVUFDLFxLRCuz+ixI9FaMyu2hAkRge1agOT2v9zHbX+6h3/efx9bjhyKTHeghURohcgmTPXMMCAZV1VGWUkJs5fNYIreHNO3kEpiKEXI6UKgCeVOqQUEVCo/N2MlDYYUFGKaJpuOHI3t+2gEhsowvr6eDz6diu1LlIyihAFC8MLLL5FKpzn8wMOxtI0WAZEcUl7N9OnTCXk+UqVQ0qIhe/ptSNkQDFEE2aBztAIhEcpj6wlb8sEnH2MSbElqYYCQLF22iP++9y4P3XEvkUwcJU2UMOkmQ8WFwygurmf0KNhmq90Zu+VIXvrP+xy0/8F9qvIKmQcY2L7CVGkcM4oyikAILrngBi4691qaV66grLSM/773FnAH9fVbkkybTP/iS76cMZOLLrscyMY4as3wTcbz+N+e4gdTfrja366QRUij79a7FW9kcVkzZx1/Fi3LWnj99de/U+8SDBKmQQxiQIxMauozHtNqwiytElS3thDJaFIhQVOZSaut2SKdZmRy45dXGG3kU+tqPhkiWby3SVVbG5G0JhUWrCg1abE0E1zFaGNgN3g3RiQ1dY7PJ7VhFlcLqloVkQykQrCiTNJiayakU2gLPhkSWid9ta5marVkyZ5AZwPCEXh2sE6mK9G2wiyUzA8HH9D/KhWUtUnCGU06JGguFay0YbO0z0i59qB6pTQPvreYjqRLfVk0F3yaFzKJ2gaL25L87b3F3LRdXr/r5oQ8PqnWdBiSjycotmpqxs6YpMKCphKDNstnQsbBbLNoJ4VlpgllT8j7SpPWENIKWwiSNjgWWJ6HVKBk4LHzBZga0rYgXS7AggwK0xQoQdYbBAqB64E0JZF8CxvwNCQscAoFlu8jlI+W4BoCT2giSmNrjS80rjDRIltvLksWFBIFjKgdjhCCd955h7p9dyStBOlMhqmfTee4XxyKbQf5p9JaU6Y1thKkJRx+9M/5ca8tOQAnm28pojWGB/nDy1kZgkz2qZKXTpG20ygBiyvB8oP0SYaC8dtvzg333sO81BIKhpThGvDSv1+lID+f2k0qWVmUZvyOE3n6lZdpyyQpNaOYStAwbxFSSorrqlkZAdtzue+Pf+Wuu+/jT0/cw5CtN6PZczFUdruQgPi7BkQzDlLDopYm2jo6iNZVsrIYLM8N7pOAeCSohZc2OlFGj8/Fl8F97LYfGyZM2IxZi2eRMdox/eCez1o6j6raKhRtWEEYGQJ47LG/sM+uu1BerEG1YKnAJzR50hhuvvs2lncsoKiyjJCb4s13XqQgP59NRpURyjTm0lp1E1RfwBczp1FVUYz0moO/KRWQ0Sceu4/yslJ+uPtk4qEk0u+m1gEi6WxfIOU4QcLSziaiiWV9yK/d7Q00OuiKQGE8SXSVUm5F+aCdZv791ENsN3Ei9aEUSik+euqpPv3ue/xx3vrwQx6++Wbqh1WTF1+62t9vJNVCfq/rjQZ0lXmcdfxZNCxs4O233qasbOAYqI2FQcI0iEEMAFEyhL1isNDWtNrgVEpsLXAEdBmKPKXZMxb02+gIl7BXp8GCQk2LBU4F2FriCE2nhDwFe3YaEC5ZqyhRMoQ9Y4IFNrTYGqdCYGmBKzSdpiZPwd6dGmkJFpawTvr27DSYV6BotiUFpR4NlsRDoEVwAm+oq0hIk2rPBaDZtkhWCCwtA72GJl/BbjFYnAytNVn5nOYu5jXHqSwI9TmpA0Hag4r8EHOb4yxOhvpdNx8DE4/AXwFLK4JA5AyamFQUKDi4M4VFPoZU+ASFaHVWPtrHR1Dog2OAJ0CbPScJfaExNJQoRbs0CFeaRCtNuhpdInYQBCR08IGc0ZCJexQNzSdaEUYJhyI/IF2u0H3lZu0t9AUpDSFhZNMc6WwsmgAN3RtXBUWFHHrEEZx70SUUhf7A0GHDuPGOe4nHExxzxMHBEXohePk/b/Lj3aZgRCPIwjzyS4soKinuORkpdE6mBszsWuisl6JxWSOd7R0sXNmI7/vM/HI2ALUjaonmR9ly7x0ZtckofnvmhZx56Zm0Nrdy/c1/5NBfHUaiIgTA3ofsx123/okLT7uYS846laUrXa69/GZ+dsSBhCNhNHDXXX/hjzf8kevvuZ5hNcNpWREcX4/mRYnmR0nGk9x17V38aL8fUV5ZztJFS7n5spupHVHLjrvuiKEBAxY2NRFrj7GouQlP+by7pK+9APvvsD+nXXwae+y7BwBH/e5Yzj7hbLbYeWu23XFb3nn9Hf7z2lvc/8z9rCjp+R1csmAJ7079hLsfvZum0r6/m5vuvyOjbh7Fief1rMOVdwTr0FEdogN46J6HGFY3jNGbjCaTyfDPh//Jfz/4iHufvJfGsh55Sin+9q9n2P+wn9JRZvXRs3TRUl565iWm7DqF0rJSmhqa+Mvtf8GOhBj/s51ZnI09XLJgCclEkrnJFrq8DO9l12HUJqOwbIv21nZe+fcrbLPjNjhph6cffZqnXn2FB559gIXVAjCIDh3bR7f5finiyxDRH4ylOXstGU+yZOGSXJ9PuxowV86mqKSIIcOH4LouZx53JjM+n8HLL7yM7/s0NTUBUFpaim2vXjVgY+D/S8KUTCYZP348hxxyCDfeeON3bc4gvqdYOHx7ZGoov25dzuPF+TRZik6hMbVgmGNwaCyOTA1n4fDt2XQj2zaH4ViZ4fy6fQGPF0RotDw8GXgwhjkmh3alsLxRzGE449Yiq795ekJjaslwR/LzWBw/VYtQEX7dvmit+gDM1HBOdObxRGGUmO1RoBRdUiK0Jl9plDAYkrE4sbMNgD8VVdFkB0TEQFDjGBzcGcdP1TA1WblWwhRLujieT9gK9dsetgxa4hk+TVVTPsC6bZpWbJ/u4v1IPnNs8ISPqWG4Y3JIZ4Jh6QgZmWElxSBsghw94GuNjU9KB8V6y3FoNwLi1+0VsLWgxFdElcDQmnZDUrN9hDkveSTbfcL5krAJritIxj3MiEn1NhVk0GSURYGyKPdWl2tpQamv0dpmeaScYV4LYRwc0euBmU0UaeORIsQZN9yCffWVnHr+FcRiMSZsPp7n//kQ1UMD4n/hWb/l0mtu5qQzL+Kwgw/grtsu71dvhe8h0LQZBo4QeATkLaIUd157B888/q+cCQfvdjAA9z/zV7bZcVsMw+DOv9/JFedcwZE/PpJINMJPDv0Jp55/am5MQV6ER5+4l8suuIbd9z6UwpJSDt5/L/5w3q+JaUVGSB5/4HFcx+WM4/rm8jn5nJM55dxTkIZkzldz+Nfj/6Iz1klldSVTdpnC6eedwhDTwNUaR4gB7f3rM39l2x23Df5O5i0k3tkTT7fHvntwyQ2X8Ofb/sw1F15D/ah6brn/Frbafqs+tjz1yFNUDa1iyq5TVvu9XJd1cF2XGy65geamZsKRMGM3Hcuf//lntt1p2z6y3n/rfRqXNXLgLw5cTU8oHOLTDz7loXsforOjk7KKMrbeYWsefuFhyip6PDeXnHEJU9/ryXPUvQ4vf/Iyw2qHAfCvx//FjZcGz82JW0/k/mfuZ4ut1q8o7pfTv+S4A47Lvb/+99cD8NNDf8pVf7yK5sZm3njpDQAmTZrUZ+wbb7zBLrvssl76vi0IvWrlzv8PcNFFFzFv3jxqamrWizB1dnZSVFRELBb7zvdS/1egtSKRmIvrxrCsIvLyxiDEd5dgfn3s+cfn0/nnk89xrvEUeST5wsqnwzAo9n22cOMkiHK9fxA/O2Q/Dp4wcaPO48MFrfz1iSc4yb2ffB3nC7uADsOk2PfYwukiLvK5xzqW437+c7YbuWZX9rrM8zrvYEKhKKfz97XqA/jTI49yivMA+SSYZ5nkmx0U+R6g6TAsEl4JY1wXlS02IKTi81A+HcKkWHtMcOLEyeNq/0B22WN3frvz9mucw6ymTs58fDqFYZO80OrfAxMZj860x7E71vOf/zzXd92kQZHnsXW6lTIRp03n83G4nA7ToNB3mejE6SKPfzg7cbD9DkUkWJk/jvCU31E7rJI8U+MjaVTBOg8RrRgoksLAF2BoiGofH0m7zqdExHPtK5Y5zPswQbzFxfdBGRbh8ghDt6ukuC4/W8cNwn6KIQRyU9LAFwHximTlNlKGY1iEPIdq0YaBwsPIJl0MAr67+6UiUUAQSSVyMj2MbAi/6tMXyPVJCgMfgYEmqn20BhOFgY8jRG6uoay3qUvKIIWEhgKlAlIlwCfo6yGw0ISVJqQ1bYbEzeb3ylcKU4OpBRksGnUZSUJEyVAjmrHwyAhBl5QoARGlKVAKAaSztqSzskwNltbEpUQLCPfq6yHxhEZlt0MdIYhLgS8EptaYOvAWSgIvmoRcnJdJQLYU4GX729kxnYYkk50rkLVD050e0hPdnrlgu8wEbK1xAUcGRNzI6lZZGd0PagkY3Y/trMvPE8GY7jaRlSnRSB10U9l7sm7pTQNZ+Sr4C431Cq7fGKh0XMoBMWzL9RqXTqdZuHAhI0aMIBwO92n7Np7f/995mObOncusWbPYf//9+fLLL79rc/5PoyP2CcuWPUQiMQ+lHKS0ycsbzfDhv6S4aPJ3Y8/Sv5Ho/ArlZ5BGiLzCzRhec1T/9ogkH4Q250oZ5Tj/RTb1GrA9DweTOUYt9xt786kayc9EcqPPpSBi8p4YS7v1S472nme8sxybrG2yjgfNHzNLjOW0yDr8ia/LPMVIbBHiGnPd9H0gx9Lh/4KjjFcY7S6nyLUpEB4g6HJsYsAMXc/fVJCJ+FjzJTZzGwhpl4ywmC1recDYm0/lCA4rXvtH9djKAkZX5vNVQ4yobfTZltNaszKeYfOhRWw6pJDLV1037ZLB4jPG8qE/ju3lLMa7ywh5wfXZspb72ZtP9VhmyzqO5hVGkARUQGAI00ohSQLvViNllBMjol2E1mgEKWxadRFJQqR1iDIRtI8YZlB3YCErmgUr0xH8cIRoRRjDJBusDGhBklBObriX3DQhWkQhScJYpkfCj9AoyijXnYRwstXgBClCtGb7BSkMNEkRppEyynQnYRxM/L59dfDAaRRBn4heRZ4OHjpDRSthnelTQk4AhUE14mCrDoGhg+3YgR7ZZX7f6x4GXYRz6waQJMRSXZnTGfZ7Kg77SBwsTO0R0j55qzziI736asDFIEGYhIpQKroIkSGsNYXryijWgCL1LQjZIPgaFZqBoV9z3DfBF3oEEza61jXje0WY3n77bW644QY++eQTGhsbefrppznggAP69Lnzzju54YYbaGpqYuLEidxxxx1su+22/QvsB2effTY33HAD77333rds/SB6oyP2CXPnXoPnxbDtCgwZxldpurq+Yu7caxgz5oKNSpo6Yp8w98uL8BLLsDMehtL4UtAVb2JubDZjNr9qNXsipcWIvDamd43i3PCJjNbLKSRJJ1HmiWFk0jaiwCCSzZuyMaHzLVQUPuuoZ2b4RMbQSJFOEhNR5jKEdNrCLgn6rQ1953kCo3UDhTpBp8hjnhhKJh1CF5ooafBZ57rp8/MlnybG8pk3mjEso0gn6CQCQlCok8TIY445HJ31MH0VrmMTvbTf9Y2WFa91DlIKjp5Sx1XPz2RxW5KK/BBhyyDt+qyMZyiKWBw1pQ4Ku9etjhmhXzFGN1BIgnYK+CJRj/Yljxm7s0V4CSUiTrsOMU8MI52y0bZkmh7NZ+Fx7Gg3c6LIx6IMV0aDiOEgkyRJHWKJqCSMg4HCR5LW2ZgLEZCfpK4kLLLtQpKusgn3fr73YR/BRli33IgIyI0nJCnCgevAACwBHiT9MEtkiLB2e/QLO9tPQDYnFTLom5RhwtrBwMfHyPXVRtCvb5+sPGy6fR7z9FDCZCgUKWTWW5XWNmHhoLXAxaCLKCECe0x8JApL+Lg68Gx5SApEKkfIunQksIXVY1WShLI6HQpFEokipUPECA4HBOvuE8nq9zDIYPaxL6VDveYBbbogO4ckERwgIFQAVtbjBt2bsJDBQgB5pJAEHrUUIRwsXC0pFXHCZHrFeQVzdLKPXCtLQDwkQbrKwE6JwsoSVw+JjUc2QUQuKDuIXZOQPcGoATtIcIGPxA2yU2VXWeBhohAYeOSTynm5eqP7t6134LcCMphoIIzXb+HZPr+y/bSvLzTQqKO0UvUtSPv28b0iTIlEgokTJ3Lcccdx0EEHrdb++OOPc+aZZ3LPPfew3Xbbceutt7LXXnsxe/ZsKiuDI4mTJk1arYAjwCuvvMLHH3/M2LFjGTt27CBh2oDQWrFs2UN4XoxwuBbXcXFUBkOahMO1pNNLWLbsYYoKt9wo23NaK5bNvhWvaxHhtMY1ojjSwMAnnEySVotYNvtWCibfT0tLK6lUikgkQlF4COG6RfizHZy0xWy7FmGA9sHPSAzLx66zKI5s7LSVEPM87FpQCYWTtpgVqkHKoGqHnxGYlsKuCfqtDcWRoYTrFuLP9nvNU6N9gZ8RGJaPrItgChM9e930GbUGOiYhBbN1be96sQEkaEMi7OAR4KUtZtm1iOyRHj8jMS0fYz3Wd3JdKRftOz6Xh6klnsE2DTYfWsRR2TxM77V3Yg9X+PHuudYgDI3rmyhpImSQXWoWw7EleJ6PlxEYNjhD8zAbOvHTsDA8hAwWDlaQ9E+AtiXCUaA0aALi0WfOoqeP1gGJ6n7K9OoD3YfbdLammcgGcAeB3GnsXBmMniCp7GPblpAOjnylhd3zhA0OywX6ux/itkSkfVD02xc7+7fZp4/I5iLK2qoJ5pL1nPVGXEf6vF+N/KziOEys0h8I9AmCNV0FaeweItqPnlXlrWpfTn52e6u/Oawd/R+qiOmC9ZQziN7QQFFZP78P3zG+V4Rpn332YZ999hmw/eabb+aEE07g2GOPBeCee+7h+eef569//Svnnx/UwJk2bdqA4z/44AMee+wxnnzySeLxOK7rUlhYyCWXXNJv/0wmQybTU568s7Pza8zq/z8kEnNJJOahVSFNTStwHAetFUJIbNumqLAw22cu+fnrk8P5a9rTNZtEx3R0xqBJF+E4MneIyJYRijIx2tu+4Nln76a52cLzPEzTxB1iUVBShT/GJbXUxE0YaEcgpMYu8IjU+BilNmGvASja4PPojZC7nHBRhugmms5FPpmE7E7TQijfp7AeVFGGkLscWPN+fdhdRkGRgz86TWqpjZs0e+aZ7xGpcVBFNkhFZJ30QbjIIbFZHsxLQqcKzsV3Q4IOG1BooGojCBT24jb8hESpQG843yda46OLXLqapkPpzuu0LpPrStmypmTATN8hZynhogThsWniSyycRDBXLQWi2IASG9Huo+MumYxASEko38Os8UmXhYjmK7qW2j15AiHw7tgSDIk2BCKjwFd9v7YbAh0K+mAAGQW+7qePEXgTHA/8LFnq1mHIYMyq120JRhCrhCEQYYF2ssExqpfsbL+cUkME98FRCKX76RsQJh2mV58siTNEH0Il/A0Q4SIE2szq8TUi469Gsr4V+YYEV22YOQxivaEBCm3sVasdfw/wvSJMa4LjOHzyySdccMEFuWtSSvbYYw/ef//9dZJxzTXXcM011wBBxe4vv/xyQLLU3f+yyy77Zob/fwjXjZHJJIh1ZPCVxpAGQphoNJlMmtbWDEXFHq4b2zj2tHxOxnOJecX4WmIIEXyxBDK+ZKVfhGUkaG9diC03IxoK4WmF0TKH6qjHouJ6KvObcRMGyhNIU2PlKdrNCupZSr1ZsVHm0Rv1ZhdDaWR+wXAqN23FS0p8V2JYCjOqaDXKGM1S6s3ytcuKf8lw1cL84pFUFrSsMk+fdqOckXo+GouFBfXrpK+OxbQVb4aaXIjq0uhOFSTfMyXKNhCWIJqfwBXBUeQheZ04cRPlSaSpsPIUrUY5I9Qimj+dypL8+nUuuCmlYFx1/ySxPv4lQ9VKFhTXU13YjJsw8V2BYSkaC4YRF4XkD48xpKsD37GRhsbI82kxyygkhiwysYslOh1G2AE5EeHuivYabQh01ED69ISLGFlvGiDxUIYBUQPhqx7ile3T7XKyIh74Aq0FQmhcw8YPKpth+W7W66TxDBsfiYGPgYePgTIkIqLQSiCURkuJlgM8fAwBEQNUlhBJULLbjqz7ypAQEehuUiWzUdDd7rE8gfZ1QIq7v4kYZN9nu1lZchUcK+yptCpFjxep93hT9NJDQEbtgNjgdo/tNjOrL+fxyl73s9HOIiunj32i7zxsGczB7fEQ5pagN7qvd9vVhzhnZfYmxL2xqjyxyrXer9eFu/VnX++23M9sx+9rWNWqKAw8hNWhtYcTbGz8zxCmlpYWfN+nqqrv3mZVVRWzZs3aIDovuOACzjzzzNz7zs7OXHHBQQwMwygglfJQysf0w8GHENmTIlKiSJFKBf02ij2uIuXbKAGmMrPplIMHnIHClRmEsggl8nETDr7SCCkIF+SzS+YNngj9nHajksL8LsK4ONi0ywKiOsEu7ttY5o4bZR69YZkF7Oq+RSMH0irLKIx222bRup62WZ5iV+d1Gu3q7Dw7c7LaZRlR4uzuvo5WFo+Iw9ZJ3+7eGyyR1TSLKigEXWjk4i0AbBxsrSikBRC0GRUUZNfXxaJNFpGn4+zivEmqcwwff/wxw4cPR8pvtoVreYrd3Ndpsg+jRVZSmB/LHcM3hcLEwxQKCgzCviKjbdpkGfm6i53913ib3fGEhcgLSEhARAKbZLZYjEYEBMnoiV8BMHEp1J10ikI8zFX6dJ+88rKxKBbS8LPxMSLbI8sGDIFEZ09P9VxXSEw8HGwUBkJqLOniI7MZpnpicHo/ZyWq11wGYghZcrEa8eomVVmi0BsDPV3W63o3AwqsxzJgXZ+jq8rrL3inN8MyRM6r9o1h9qtsEOuIYstADnqYvj845phj1tonFAoRCq3vnvYgkslikvECwnYzvmsH+zbdUArLTpGIV5FMFrMxsjMkvRqSiRLCeZ34fve+eLD/oBFYdppEvIxEZwm2JRCGRGtNsqOQIfEWfi4e5Q1jHxqNKrpEAab2qPWWs4d+maHp+EabR585JYsZ1tXCYeHH+I/c6xvZlvRqGNbVymEFj/EfuTeNZhVdFGDiUestYw/1EtVd7WBYHJa3dn0AQzrbObbgPp42DmahGJUNfw2OeVs4lNBOvVrAj/TLgOBF/yesMKvpxMTCo8Zbyh7qZYZ0tdPSsi0rvCZWrly52hem9V43r4bqWBuHlz7Ef4y9aBDD6aQYC5exehab6BnMFpuxjBpcEcYSPWswitkMoYXX7V1IG6MhW5YCwMAnRJowaRLk4RDqSZmAJkSGQq+LkM5gmxnaRUmfPhKFTYYS2gHopAgXCy9L7MNZ2WkiOAT1zfpeD+NiB6fR8HM0J0gVoLHJBCQNiUJmvyx45BPHwyRDGB8jKzeonEZ2fA+F6iFUPcSrlydqrejtSln1en/jddZOH4mfnd9AhGZ9w4+7V0IRFJQx1nHcIDY08khTFyn9rs3oF/8zhKm8vBzDMFixom+BvhUrVlBdXb1Bdd95553ceeed+P7GP1r5v4h0KsPKZZsxvLYTIxJDuXloZSKkh7QSKDdMy7JNSacyaxe2jlhThfp0eCgrGyYwfMRUjHAM5URQykBKH9NOkvFCNDVsQtg0ENkxQgiUKWhaPo76kVM50bqb5c5oEhSQRxfDjfng2ixftsM6zWNN9q1Pn1y/5W2sWLopo+o+YJR1D8ucUSQoIKq7qDHmg7futnWvz+gRUxll3s2yzEjiOp98EWe4sQA8myUNk0GajK7/uI++gdaieemm1I58i3MiV7NU17BE1qPRREhTIDqJ+kmqvBa0F9S5OlHcxZLMKBJZvbXGApRnsahha0wPMp1pZi1dyaKEmVsbILdeBRETNHSlPQoiJkppZjZ2obQmP2RSlheiOM/CDg+huWELaqPvcVLkDpbr4cR1IRES1MpFmNJnF/U6C9LjSfjlFBCsp/Jslq3YnBFVCzmee+kQ4ynkZErIIwQYKCztIAQU0ElGRchkj8KHSGNpD8eJ4hImZCSoFk042sIhyFgdEmns7OksNFSQCTxFQiK1wiKoyZav4ziEgjIq+Nj06HS0jRIGUvvYwsXRFp62AjIng7oWCZ2Hj4mBR55IZOOpBS4WSkgUBkHec4WFg4ONk52HynnKPKIk+rQJVB/CZuGQIoqfPfmVT1CjTSFxCGU1SGwyBL5HRZoIisB7FiaFRvaxBSBBHgnygy86uDnCEyKDiZuVbSLx+pArgSZNkCbBwCNKKmeni52lZAYJ8nCzQeMSvxfB7PGSB3mtgvsRjDVy9thkiJKgg5KsvqBgbvDVTPU669ZNZxWa7kB8jcrK6h7TM4fenwO99x1XPd/WncSBrD6Z0yXwUVisHzHsziW/4cmkIEGtbqa4aPMNruvr4n+GMNm2zeTJk3nttddyqQaUUrz22muceuqpax78DXHKKadwyimn5BJfDWLNsJKQ6RjCSr0zJUM/xwq3gOmDNnATVbQ3TiATK8f6ltIXra1CvZWWZOK1rFwgKR76FVa0A1MqtJJk4uUsbhhLvLOSqC1Qvo/WGiEEUgvinZUsXrA19cPnUxtdCKJ7HpXrPI+12beufXr3c5c0MSpRzVJvRyqGfcHw6EKE8FDaINVVTkvDFiS7KliyOE79iDXbt+r61EQXIoxgfdx4KR0Nm5HpGoIWgpWLg3taG+5vLcronL0EMxImHRvCgrk7MLxuGjUFy6jTi7L5f0ArA8eJEu+qoKlhHKCpHjqbuugipOGjlEEqXsqKhnEkOisp0Aqd0fz1H58wr2gYRdEQpXnBsfa2hEss5dCVDk7n2aYk6fg4nkIrRYnTRkhl0HYEu3wouxZCQedwFszdgZq6aQwvWI6UQYkGXxl0JYrwPZth1nJMYzlaGbhdZbQsH09zvBTiFRQN+4ry4g4s7RIlhZ3ztwh8X6K1xJZOjgAp38Bx8/D94OM2nc7DtlPYhktIBH20FihloLVESh8hNLbIgBZoLfF9E+VbGIaLbTigdXY9RS4cyMZFKy8nz8LLHV9XvomUfo4kaQjur2cjhMIyPASKVXdBQjiEuolcL2gdbKt22x8g0adPlFTfMQSP3QirFCUboH9/yCdB/ip6VrV3IBTS99BO7uBHrzFrkr0+iND0rcj5/wlaQyJRRvH3+BH7vSJM8XicefPm5d4vXLiQadOmUVpaSm1tLWeeeSZHH300W2+9Ndtuuy233noriUQid2puEN8PlIWLKZH5rOz0SbXtghVpxTDT+F4YN1VGytBUyHzKwsXfWNe6VKjfLFxMIQWsiFWRaKsilNeOYWXw3RCZZClxww0eIo5LRmXo/mgXUiAQJDqrWDFjBGakZb3nsS72AWvtM7mutI+s7e1CihJ5tMV8nLZdiOS1Ia00yg2TTpaRlIpi8vj3J+3kjWjrQ7r6u18Drk+ihLgBVbIQAbR2sto9dZKlJPAoUxbzXv0PhmlQbJWwvLOKmZ/vQSS/nbz8VkDj+zaOG8L3QvjxcnwBWmsWx4Zi5bdgmy6+FyKVKMFDYWmJh0+JirJV8wyiLdNYMWwyH68MslAPLQ7TlfZwfIVSOkecqtJNTOj8glKnPZdfKNZWSkfV9gyVwVxnfLEHBdFO8vKDOKqORBGJRHBMvCQap1BqPMcmnSwhIz3CQpLorKK9s5yCSofS0jDpdBSlAi+AUibKD2JXpNFT3V77ZvdvVNDPt0inTAypkEZgr6+MPmMFWUKks4Vzs22eG0ZKH4QCLdGix9sgtAAReDGUb+TkdL8HMEwHKRVaGXhet7dB5/oiVI7YKhU8HgzD6SG7WqKUxPfsIMZK9hA0Kf1AtibrwVUIoYJcSF4op8swPIQIoqWVMtE6CG43TTc3F8+zcqkTDCNL+lTgrbGsLBFVRi4o3vdNtDaQ0svpNAwvSM2gBb5vBu+zcwjmnt0Ozc5BCIVpOlnboK8HpzcCcquUwDBUsGb0kF7Ps7CsTE5fN7oD9cUq13oyG+jVCOu3iXXdOP0ukIgDomy17NzfN3yvCNPUqVPZddddc++7A66PPvpoHnjgAQ499FBWrlzJJZdcQlNTE5MmTeKll176xnENg/h2YeRZjDeG05bqIK5dwsmSrKNfkdYOtjYZHxmOkffNTkGsa4X6a38wmmFuFe26g4T0cBNlGELga40jffJUCCGgS6cJC7PHVuUFGy4CunRmveexLvY9+O4iNKx1DhOHFfeRpTOautZqEnSSli4qURJsHAiNKxxCymQE1bzn+fztvcVsWVPS7/YegIiYa1gfD1uZ1KohFIZN3nW+6nNPPZ1dCwxG++V0laRJdXUyMlNGLJymS6ZIJkpJJEr6PHoMJGFMwiooPOvik0qUksxGOgXpEYP/hTAZ4ZTznlhKaXol+YveoK1yJ5pCVTR0pDGkIGpKujIeGqhON7FT23uEVIakjOJLE0N7lKZXUtz8MXVl25Ow43SRoitZRCJRDAj87ENcIiBeTVwJfHwc4RHSFpv4w5gjl+NLQSYVbOsq38ZzV/8YVf7q12SWvuS8UcpAqYDI6H7G9t1w6aY+ApSFQg1wQKon2Lg/G3wvRGciwUUXX8Abb7xBZ2cnpSWlHHnkkZxxxhm89957HPLzQ5jx1QyKisIDyum+3rutd8DCbbffxmuvvcZXX32FbdvMnDGz17jg7+X3v/89H0/9mNmzZzN69GhefeXVPvLnzZ/H+eefz9y5c+nq6qKqqooDDjiAM884E8sKZLzwwgvc8cc7WLRoEa7rMmLECH594q85+OCDydZ15qabbuLZfz1LQ0MDtm2zxRZbcN6557HVVlvl5rHd9tuxbNmyPvovOP+CNe5ePPzwwzzzzDN88eUXxOPx7JoVZNc5vNZ16Maw4cNWu3bXnXfx05/+NDfHvz30N7766iscx2Hs2LGcdeZZfeqp9Wc/BM/Oq6+6GoDm5mauuPIK/vvf/xKPxxk1ahS/++3v2HfffXP929vb+f3vf8+r/3kVKSU/3ufHXH755eTl5eXW8uZbbl5NTyQSYd7ceTl7B7ona5ozwPXXX88555wDwE9+8hOmTZtGc3MzJSUl7LHHHlx33XUMHbrx895143tFmHbZZRfWVtru1FNP3eBbcKtiMIZp/WCUh7EzabZyapllN9JFhjQ+BoISEWETZwi2zGCUf7NvE+taof6NthihZIpJsoZZdhMJmcFBI4WgQIWZ5NUD8IW9mHhvW4mwmVsHwJf2YrpEhgw+Mtu2tnmsi31fNnSCIOgDhJM+pqfxTEE6InNzeHXWij6yVtoaK51hkqhhhtVI0nBy0RAFKsI4txqtMjjDLOY2x5nT3DXgUfsF2kUMuD4RxjnVeH4Sgc1WXt97KtEUKZtx7lAsN02HjNHRtpjqUA3by1FMt5bQKuO4oudvx0QS1SFK/Cjj/WFIJLPMBlbKTtLCzZ41k0S0TbkqYKxbhZNqp81LkDEKKfI72bTjC1qHDCHh+tiGiSJIfYTWTOj8gpDKEDMKsRGEtEAJm5hhIpKN2OEY2+vRTLeW0CK7ckTJ1JJCFcUWBkkcUtJFakG+irCpW02VKiIsBQvsVjJ6zd/WRe6/3fSo+xScxNImjvDwssHZWik6mxrwUmlCkTwKqquDU2tZWRKBiYGlDVzhZfNA938eXaxiVQ9B68ETTzzBq6++yt8eeJD6obW0xzpYvHwJ3yZcx2W//fZj8uTJPPbYYwP2O+zQw/j0s0+ZOXN1ImGZFoccfAibb7E5RYVFzJgxg3POPQelFBecH6SXKS4u5ne//R2jR4/Gsiz+85//cOZZZ1JeXp4jFCNHjuTKK6+krraOdDrNfffdxxG/OIJ333mXsrKeOotnn302vzjiF7n3+fn5a5xjKp1il112YZddduGaa6/5Rutw8803s+suPc6C3rXOPvjwA3b+wc6cf975FBYW8vgTj3PMscfw3L+fY/PNg3ifF55/oc/zadbsWRx++OHst+9+uWunnX4anbFO7v/r/ZSWlvL0M09z0skn8eILL+bk/Pa3v2VF8woefeRRPM/jjDPP4Nxzz+XOO+8E4KSTTuKXv/xlH9sPPexQJk6cmHu/Lvfks08/6yPjjTfe4Kyzz+JnP/tZ7tquu+7KhRdeyJAhQ1i+fDlnn302Bx988HeadPp7RZi+rxiMYVo/tDYsZX7qC8aISUxJjWWl7iCNQxibClGMNjzmpqZR3bAlFbX1X1vPulaoX75wMU7XNHYo2I6d0mNZSazHHgrROvgqOsUfTQudvdqKUMpBCMEPxFhajTgZHELYlKtCPOEwZw3zWBf7Mq4PAsrTULUkTTilundbSEckKyotWjyfpli6jyw7sZI58WlsnbctP8hswkodIyN67HZw+DjxEYVOHiu9AmJJd8B1bFy8mFkDrk8g68PO9yh2LSbkbZ+7pymdIawEFaIEVztM73iPjrYMnpNgbuZTtrb2Yk89gXaRoM1IoLXGxiSMjeVLIr7A1y4Gkh+occRkioxwSOMSxiakLYpVhLjbwdTOTxnq+6SFTaeIUpxpo8RpJU4xEGzdaKDMbaPUaccTeVQqia17qIUrghIh82Mfs625J3vqLWgTcVpEJxqo1EWUU4ivFcv8BuJkCOkwFaKQtMrwVecH1BdOYAdVTzJsYGibPG1j6e4j+wIZ+Kd6Hd4X2VcKrTUmBlJIwtrCQ7F84Sy+evc/xFY0ojwXw7QorhrKZjvuQeWI0Tl5hpYIIbBVkG1JiEAbq+kJyJSZ9YSqLGUKegdhvxPGbkYymeSVf7/EXrvuyY7bbs/kcZNYtGQxh/z8EAA23WxTAI44+DBuv/W23PwMHVhkY+Kj8PDppmmeUNkiH4JLz7oIXyj+/sSjAORn69JpNL4I7LruimuwtMG1rdcze+ZsbMycrYaWjK8dw2a1Y3P5NMcPG83UAz7k448+xswGIv9wyg+ytgVWbHL8GP75j3/w2Uefstcue6DQ/PzAg3OeYYCrLr2CRx97lCUzFjBqpxq8rM3F+YVUVVYOsAnX+7XAQHLq8Sfjo3jnvXcBsutiYGhJRrgoAhIG8PgTjw/49wdQVFiUq1axKi6/7PI+7y84/wJeeeUVXn311RzR6U38AP545x+pr6tnhx12yF2bOnUq11x9DVtuuSUAp592Ovfddx+ff/45m2++OXPnzuWNN9/ghedfyBGgK6+4kl8e9Ut+//vfU11dTV5eXs7bBPDVjK+YM2cO115zbe7alClT+thy/PHH8+Q/nuSjjz/KEabeczU0vPHKa+y6666MHDkyd/2MM87Iva6rq+P888/ngAMOwHXdnIdxY2OQMA3iW0cmHmdlYjlJXzDCHk25VYgUEqUVMbeDhfH5JIzlZOLxb6SnKGphm0G9sP4q1KfdIHi6xPSYlW5kuj+dMXljKLMKcx+gHU4bc2MfArBJyfaUWyU5WzvcNubGPkBKwWZVO1GmipDZbDtJI84Keynt7U0DzmNd7AtZBqVpzbDFaSwl8CxQFkgFkYRi2OI07RWS6qJwH1mGm6Yt3cTn7nTGRMcEa5y1rcPtYG5iLm1+E34qiR0ppig68AdMSGVoH2h9srLaMw14mEz3pve6pwJPZGjPrGRe/HPanAasUDGgac0sZ2rry2xePIWS0BDKdEGuDI6vPVJenNZMI/O6pgGKzYunUBoahinzc9tPvnJZmVnGVx3v0pppAqOSsABTWaRFCtvPIEwAkct9GPIzhLQirE2kEPgEeQ0FYGuBpSRt7nKmtr7CFiU7UWpXUS6Cb/OedmlzmvC0Q7ERpUQWodB0ODFmd31Je2oGMT/FJvljKfaHoZFYWIT6lPzQ2f/3jhjpOQPlKQdPu9gyRPPiRXz878dJJxPkFRRhWBaem6Fl2WI+/Pdj7Lj/LxhSPxaFwlUZPO1iSQtDmAgte3mTRG/tAFkvHRgYfZ72BgZbj9+SYw87inN/exYLl83nxLNPZptJ23DqsSfz2L0PcdiJv+TzN6dSWFBINByhQEe47o4bue6PNw34OwQw7fWPqB3WK0+dhoi2EQjCvZMnrcJIzCwtLOyvNEovzFs4n9feeoMD9t6fYp23WrvWmjfefYt58+dzzQU/oKAfeY7j8JeHH6OosIgtN52IiRGQWAR33PlHbr71FmqG1XDoAYdw2vGnYJprf0QWEOgp0XkU6iDVRJ7u63Uu0BEEgvIBSqb8/qKLOfeccxhRW88JR/6Kow89cjWvdDeUUqTiSYYVV/Urz3EcnnnqaU474VQqKMyt9w6Tt+Olf7/Az3f7KcVFxfzj30/hZBx+vP0elOsCnpv6FcVFxew+YafcmAN3+jFSSuZ/OovN9xmzmq6nH/kHY0aOZt9t9+g33Kv7niyYv4DrLriyX3sbmht58bWXefDBB/udL0BbWxt///vfmTJlyndGlmCQMA1iA8CO5uGkIeWtoFPHKMjkYWHh4tJFAieTxjCCft8E61qhfsdxhSzEpCWzgpV+OyVGASFhkdEu7W4rRiZIVfFZ8iOKjdKcrTG/jVS6ESFgjj2d4lA5hrLwpUtKJnAyKQzLIjSA635t9rV0pdhZdlLUZuGlTTL5NiHPQToeyjDJhGxkUrN5SrLH2Epe/KIpJ8s3Qxi+pNVbQZPbRrEsICwtPOHR7nchPQdDSFocwZi6/Nwx/P4wemgF7/VanyKzCFvYONoh5sUQnoOFCZ6kpdc9NRTEU43EnPZeGYVlwFCA1sxy3lrxJEVWOSWhatDgqgyOTuH4aWJuB8GnrJ/tV0FJqJqIzCfld9HuNBFzW7JyTbojYk08bG2Q0BaWIfG1xkJgSMjIECFtIIWHi4WBwghKq+EJAyvrwWjLNPHWimcC2+xKQNGeWZ7VB0VWFYZVRVorWr0uLJXEQNCWXsEHqXlUiRGM839G0uvEz5IBrXXg09HZI+hCZl+L7GsfXweBwGk3zqf//TepZBcFZUF2dB8PYRvklZbQ1dbCZ/99nryhZSDIjcv4BIQpJ5t+X/vay/XrJtJaKwxh8qszT+Tow4/AyleMHTeCG665gh1224NRo+uI5AfkL1JkEioAQ2ocP83RvziS/X/8Y5R2UVrjqgxSGH10l5QVkPFTAdnVLlKYeCo40Zfygi8VCh8pzMA2wFMOjp9GaZ+Mn8rJU7onaH7Pn/2E6V9+QcbJcPThR3DhmefgZ9u1VrR3drDJdhPIOA6GNLjxiqvZYcpkMn4KKSQCyQuvvcQxp55IMpWkurKKp//2KOECg4QXQ2Jw/NFHM2nzSVSWVvLh1I+55LrLaFzRyPWXXL3a34vOrqWGYG11sBXmaz9LbD1CMtzLA9hNoFkt5ESjueSsi9hlys5EIxH+8/br/O7iM4kn4pxy3En9/r3efM9txBNxfrbvgf2GsDz70r/p6Ixx5MFH9Gn/+10PcOQpxzJkQj2maRKNRHn8vocZVT8SrTVNK5uoKCvvM8YwDEqLS2ha2bSarnQ6zWNPP8HZvzljtbZYZ4yR244n42QwDIPbrryJ3X+wa59+vnbpdNv4yxN/oaCgoN/6seeddx5//OMfSSaTbL/99jz33HP9rsnGwiBhGsS3DmmUIWQJ2m/E73LpUDFy2wZSomUaYQ1FGmVrE7VmPetYod6SJmG7nEyyATMdJkWCdHB4BqO7JpcQqKRLh2rI2aqF6PUt3iRlJHIxtVprEh0dVI0YRfnw/kt2rMm+/Pkz+NWstxkhJbNK9gQngdHmgJBoEehOmTadhZVUEKZzZaqPrDpZgjBKwWki7IVxdRKX4Jy0jcCTabRZTUG0mqOm1A0Y8A1gWOWE7XJSqUZ8ZdHhxXJeHqU0hk4QDg1BCI1yVuTuqdLg0AV42TPaYXRaEqRi9uj+yhlzW3JEpC8iQPdWoVil3yoPAmEjtYlWPpok0qxEGOUMLQ7TGndIeipIBWGUIYxShLeCqApnP+CyJ68Q+CKDEHmg06BdYk4LMadbp5PrG3M7Md1gbB4aRQpEFKk9NBZxrwOVfUDiD1DgODcFCdrrfYGO5iZizU2E8vPRq9asEJpwfj7tzctpaVpCSXXfIFdfe32XZ4DXq/UDljUu48X/vMJVf7g4dy0cCjFpwha89Pqr7LPHHj1jAUelcVQaOw+q89acTNAljev1TRmQUQGBSvkDe5N97aFRJLxYv+133XoT8USCGbNmccW113H93Tdyyokn5NpFSPHqv54lkUzwznvvc9GVf2DosEqmbL9drs9WW2/Gq/96hrb2dv7++BMcfeqJvPDPJynPbmUdf2xPXE7tqP3wZJpzf38JZ53xG0Kh1Qv89kYiW+Kp021FuMHvc4quPn2SXmdA7pwVq40/+eSjc69/NfYIWuMruemeWzjiyANX6/vUv/7NlbdeywP33IVV2L+8+x79C7vtvDORUtmn/aLrL6c11sITf3uA0pISXnr1P/zi5KN55rFHGL/JJqS8OEr7q8lUWpH0ula7/vTzz9GViLP/T3+0+hhb8eq/nsndk3Mvv4CKIUV97kk3nnz6GX7xi1/0e0LunHPO4Ve/+hWLFy/msssu46ijjuK5554b0Pu2oTFImNYBg0Hf6wcn7ROOTsDvasTTnUgZQWKi8FB+HKlswtEtcNLffD3XpUJ9w9x28vInohNNKN2FIgyYoD0kDlpmT7b4nSDDPbaqFAYhtGHT2bKCosoyTDuE52RIdHQQzstn0l77IdZQrqM/+8a2LOKQT58NkhMOnwimTSjZBspHC0HaCqGFJM/NUBhfgcqLkkm6TB7TI6ttUSfC2gwztQLoAhFBY6C1B6QxfRuzcAuO265+jSkFuu9XQek2qJbXcJwYvo6ihInQHqZOEgrlES2ejHZd0slXcvcUYSF0BK2Dh6QQEbSQoKOg0vR/JLsbJggTRCQgEzpOT7GrVT8MDRAFoF2EToKMEApPYGJ1IYuloiCsgnQCBlRKiQxtju2sRBPHz95rgYckjSSMiEzCT3+GVjECwmasoleAyAuSKGoXoVOYIgyhiejM59lQ7XUtodE7ONug+yyZk0rjex6RAbYXTMsiHY/jpFbNTdRto17l9bphxcqVALhu75g2gdaatrb2Acfddtfd3H7Pn9Yo+62XXmD4BjjBNGzoEAA2GTMa3/c55+Lfc9KvjsMwsmkYpGREfXA4Y/NNN2Xu/Pncfs+f+jyco9EoI+rrGFFfx+QtJzFl9x/xyBNP8ruT+/fibDVxIp7nsXT5Mkb3iqvZGNhq4gRu+eOdZDJOH7L2zHPPcdaFF3HfHbex8479lzxaunw5/33vPf5y5x/7XF+0eAl/fehh3nzheTYZG2ytbTZ+PB9Oncr9D/+d66+4nMqKClpaW/uM8zyPjliMiorVa1I+8sQT7LHrLlSUr962LvcE4IOpU5k9Zw6PP/FEv/MpLy+nvLycsWPHMn78eGpqavjggw/6xGZtTAwSpnXAYND3+sEOG1iZKAXmBFJ6Aa7fiUcGgcQ2y4iIERhOFDv87dRbWluF+m57CnvZo3EQGBhGKdqaDGiE+xm+37GarSqcT/HwNuIdTSRjMQzLomrEKCbttR/DNhm/fvbFMxTe8jS25WHVjqATgUinUdLClAKtFFHtQzSCIQVuxkN3tufWqlvWJ9Ob+OqeVrQ1kTTBnMBBCokhy4iKkZiikC3qi9dqXyhqESmsI5y3N50rPyKdaEapNNIwCefVUFC+DUpX4a5oxuqzhhnARspqhAClM2gdR2CBMQxw0H4bPV6kbpgg8jGMSgx7AkiJm3of7TfS2zMVEIwQSBtBBpAIWY4VmkCBWcJlB21OW0j0yfS9YnEnSx7sQlkTSaj5+LoLrR2EMLBkGWE5lrS1KZJi/MwH+P7KrE4AC2QZQoRApxAkEBosUYgtx+HYm2F6BkkWgxjAq7RKeHCfk2xCAEHCTTsSwTANPNfBCoXpS340nutimAZ2JEofItfr7Nzqr9dOnEbU1SGE4MOpn1BbU4sQIRzH4bPpn/PLww7FsgMCt+qXw6OOOJyf/PjH/cyzJ7t09QBBy98mlFZ4nodSKkeYVu+jcZyBE1hCEAe0pj5fzpyJlDLngdqY+HLmLIqLivqQpaf//Rxnnn8Bd996C3vsuuuAYx//xz8pLytjj1136XM9lQ6It1jF0yylgVLBF5XJW04i1tnJ9C+/ZGI2mPyd9z9AKcVWvU7BASxZupR3P/iQB/90zzrNqd97IgTPvPgykydP7nPKbkAZWTszmW+vQsT6YpAwDeJbR16ikbxkE53hkZTJKjJeO75KY8gwIbOEpMojL9FEXqIR+HaKsK2pQv2a7LEooEMEH/QlcjIOXavZWuysYO+fHkgiP0ImHieUn0/58No1epYGsi89ew4NDUswKiqCHcqO+US9CuJ5wzHctqC4qe+BcsGwyVgF5Hcto6XxA0qH74EUEikFm0c6WZpeQWdkDWucHHiNlVbM65hHZ6aTgnABxdVRWpZVM2STg3FSK1FuCmlFsCMVdLY6lBZrkosa6Oq1hp6XIiPKUOZQNGB4jYT8ZjKyAs+uBSFRfgvKbwKVQBNFyhBCRhEihOXbaCOMkhZ23gEovzXoq5MgC5BGFUKWgW4DP4GpQRlVGALyuxZSkGqism6TPvMpUF+Rl2wkHhlJpawi47Xh+WkQFpZRREYXYmdieFYlMvpTbK8J5beAAGUMRZpVgMJwlxLxV2I4GkMUkLbLsZ0uDLOaiKjBiGgQUYQsQMjuj1FBUDexF4HRQVYpDSCCBAEgKKnOo6hyOG0NSzBD+bmAeNBopUjH2ygdWkfJkHFZ+T0JKrtLXfR4uVSPTu2BztaSE0B3jTQRxJYVF+fz84MO4aobbqKsfAQ1w2u5/c6biSeSHHn4iYCHEIL/vPkhu++yJ+GQJC/PpqSkkpKS6oAMCwkiROAty+rWGnQGnfWgLWtopKOjleUNK/CV4ssZ80EIRtSNIC8ajF24aBGJZIbmlg7SaYcvZ8wBNGNHj8UO5fPUs09hmibjNxlPKBRh2hfTuebGW/jJj/fFyp4Wvf3ue5g4YRL1tSPIOA6vv/ka/3jmWa69/GrAIJmMc+tdd7PX7ntQWVlJW3s7Dzz8ME0rmtn/xz8FEWbqJ1P5dPo0dtx+O/Lzwkz97DMuvepqfvbTn1Cc/YLc2LSCQ446mjtuuJ4tJ04CBM0rm2leuZKFi4OUDDNnzyU/L59hQ4dSUlyQXYcGOjo6WN7QkF2HGUBAXPPy8njltddZ2dLC5C0nEbJDvP3uu9x+9z2c/Kvjcn+rT/3r35x27nlccfFFbDVpIs1ZL2E4HKawoCc2USnFY/98ip8feMBqweqjR45kRF0d5/7+Ei49/zxKikt46dVXefvdd3novsBzOHb0aHbd+QecfeHFXH/FZbiex0WXXc4B++1L9Sq5Dh/9xz+pqqxgtx/uvNpny+1338PELbagvrYme0/eCu7JZX/I9SmuHorj+zz55JPcdNPqhwk+/PBDPv74Y3baaSdKSkqYP38+v//97xk1atR35l2CQcI0iA0A3dVJbeenzKjYjQ7fRugIaANX26R8m7DIUNv5Kbpr6+/cnjQRQk47IOi0IgTxOKvbSmJrKjZduzdpbVCdMbTj0CUdlrcthlgnVfEUifoDSVjFmG4npvZJuy4uEaSKkbfiVf783ovI9H84YtwRTKqc9I3WeFrzNB6Z9QgLOxbiKAdb2owr2ZIxTTvS2QrRggrsiMRzFJ2tDuGoybgxHq1v99VnKElImaSs4Oh7yDMQuoCQMlF2EOZqmOUYRnkuYDt7RxC+g0kCI9OGEjaZUDHCqsQwKwANopf3QJciyUcjkUIQTrdQ2/YRumu71eYzbF4He62I0jHsQNpVGPxQkGEZm7QOY3ox6pZ+wPJhu5AKl4M1BMMoR2hQho2WAqEg7JoonYchbJKhAiwvQU3DBzQO3QHDLESKQoQwESKEkHb3tHo5gbJvRHd+JI1QPjpblksaNuOm7M3U5x8h3rqScEERpmXjuQ7prhh2pIBNdtwHaWTjOrrrePTW0x9Ed4qD/toALK676nauu+lKzr/4LDo6O9hi0wk88/jzDB0abKGce8aFXHX9VZx+7mn8/KDDuf2muwdQ1uvxkZXdrffGW8/n8X8+kmv+0U/2AeCpR59jxx2CVABnX3Q07334Tq8+Qc6gj//7ObU11ZhWHnf+6TbmL5yP1pqaYTUcd9SJ/PpXpyDNYF1SGbjg0ktobGwgHA4zetRY7rzlXg7YP8jnY9r5zF+4jONP/S1t7a2UFJcyacJWPPvki4wfPxmAcLSMZ59/gZtuvw3HyVBbU8evf3UqJx1/KtIMiJmv08xfsIC0E0aaFQA89Nh93Hhbz3H6Aw8/HIDbbriLww4J8jndeNsfVlmHA/qsgx2q4IG/38mlV1+L1poRdSO5/OKrOfLwY5DZL2R/f/xpPM/jgj9cxgV/uCwn69CfHdHn3rz99mssb2jgiMNOyhL/HoRMeOSBp7nyuks56te/IZFIMKJuJHfcdA8/2uPQXL+7b/8bF1xyDoccdSxSSvbd+ydc/YfrkGbPwRalFE889SyHHvxLrNDqW7CpjOSCP1wx4D0BCOfl8bd770VrzeHZdeuNaDTKU089xaWXXkoikWDIkCHsvffeXHzxxYRC/adp2RgQem2ZIgeRQ/eWXCwW65NYbBB9kZ49h/ln/Y45Vj5thTvgm1VBvIr2MLwmSjs/YKwbZ9RNtxPeZOx3ao+VaWLUwjdAw/yRu+KGqjeord22LNGtJC1FvmtSuSxOW2EdK6p+SDpSDcLCNTyE10hh7B2q4st58cgxzCpJURgq5Oytz2Zce/RrrfG05mncOPVGYpkYFZEKwmaYtJemJdXC0MRodo0dBO02vqcwTEnJkDy22GU4Jd6K1fVhYmUyGNkTUL6Zj2fbWI6D7cTxzAiJaBXK6C6LAWiF1B52poP8+BKGNb6F4cOC+n3pLKxHyVCv3amegqdojVQOBV2LqV32AqX5GUbdcTezSpJ95jNshceuD35BU95Q4sU741vBeqJdDLeJkpa3GLtkIR2FI1hcty+J/Fq0tEGDVA6R1EpML4Vj5+NYJrbrEU43Ud34FpVtC2kpHcGKyh/i1o5izCEjGTakFstYJa1AdxJJrdFZkiO0yv3TQqJk4GlqXjSH2e+9Qqx5Ob7vYZgWRZXD2GTKnlTWjw2I0mryeg4q9FH7deJgdXeWI7F+43vnzBzEINYDlXUb7tmZTqdZuHAhI0aMWC2I/Nt4fg96mNYBg0Hf6wdr9EgWlnqULJyDLZtwzSp8EcHQKSxvBfktnSwcUcm40RsnmHKN9rhN5HW1AVCZjOG6G9bWblvyF2bQlQX4BqRtKOlYSF5iEa41hGQkSnNJGstrprzNY+lQm0RNGTVCsLRrKY/OepQrp1yx3mustOKRWY8Qy8SoLajNnTSJWlFqzBqWMo9Pa/7N2aMuwk35hKIWpUPyEFLg+3n96AtRsryZoo4G0BArGUr7sErKG9sobV6C1NCVN5Su/OE4oWKsTAeWn8Fy45heEkUjYUdjebDFF3eSiA4hnl+DEyomlImRH18KQCJ/OBrITywjGm/AtTULRw1j7Kh6Hnnv4j7zaRuqWFYGQ5YvwFcLUdZQtIwgVQrpNlLcoejIg/zEQjb78k5iRUNJRoejBZS2LaUo3ogSsKJsCA2VUYauTFLa0YjQGteAgs6FFHUsIuNMwHZOJpRpw5bdgdsaqf0c0Qu2wfq+NlQQz+VLCyVtaqvLqfvpQcSalpNJJzHySyiqqkNIkKmWAeWprFdLZ7fyhPaQykNJGyWz23A5aKQKjuH7RnCgQCofw08htUIoD98Mo4SJFgZC+wjtI5WLZ0bwjXA2mF9h+hlMLwXonK7eslV2e1L6bg8xFAbobK06rdDCQIsgj5RQ3XEtQd+e+fhI5SGztoBAqiC+zTNCOZsEGum7SBXo674mlI9nRtDd26XaR+TI4apsTyO0RgkR2Cq6t1T7rmGOvGaLc+us3bmUGlqTO7ggvp34zP8zEIKSqghW+LvLofRtYJAwrQMGg77XD/M7F/D61iF+3ByiuCVFsrABzzIwXZ9op0MqL8TrW4cY27mAsSUb3sO0JnvCsTSthUFAbmFLgnTRhrW1ty1FLWm6CgxWFsKwDEQzGtdroDUP8pIGxQlIRiSvbG1g+knyrXzKI+Us6FjAm8vfWu81ntcxj4UdC6mIVPRbqqU8Us6C2ALa85oYO3zsgHZ368uYmozswtBBQdGM0UgoE0eZLlpq8KEgsZz8xHJ6+UVQgGtCPCqIldqItENJXFOYaKAg0bDa+bPCxPKc38Y3oLVI8NJkCC1/a7X5JPwkL02WHNomqG7XdOQvxzEFIQ+KE5CICp7fXLDPJ4qqDk1JbDl58eUIASE3+ziV4MgGrLTAkRoj+3xtKYCiJBhKE002o7WH6aWx5JoDjLvR25VvKDdHngDKqqp7Gr3Ofsf2vmO9x7IO17thecl+rwckqB95jgusbk9/ugaS/W1jnfU4HRvUjkGsOyLZIPL/dQwSpkF86+jMdDK/1uS9g8Yy8a3llDR2EfV8fNNgZU0B03ceyvzKBJ2Z/j+IN6g9by+npClBtNPBtyRNwyM8PUGChgM/D1G1IrNBbV11bQobOjAdTWeewFQCT2ryMhrla5YMsXhza5u5QxVjMl1g5hEyQ7SmWmhu+pz5Qxze2284E99vX6c17sx04iiHsBkOvg07cfBdMCyw8wPZ6dZ+59qZjjF/qM97P65i4rstlDSnCLk+SUMzrzb41pif8ClsSeKbkpm1kmhKMawV7OxztZv0uBa058OCoZLpO1fRlGjikLd9Ri1XhNz+vv8H/xwL5gyDZ3a2aBvi07zkfZxUK2EkqCDnkOfEmDNM8/DuBntO9RnWoin2NZ4Bi6okL0+WzBoOSysFP/+vYmSjJpw98JYxYVEFpMJQmITKWOBVmjUcDAR5SU0qGz4hrXX/8NQEiTO7fRtCr/tOlobuPKCBDJ0Li/pWdsO+7k7eIAaxrvi/QpZgkDANYgOgMFSILW0WVaVp3tujtMEjlFJkIpq2oR7Jwgy2sCkMbZw4sJw9tSGaj96M0sYEoaRLJmqxpFwzr30mKJ/nh2lqGzesrauuTbhB0ZyRZMLQXKYoa5UYafDD0FLu4gkf4YPZOh+6msmE8rBT7VROfxzbTLMo3ETzDxWlrZJQhjXa3a07nVhBtKs5IExaBVsQdj6Zgkps2c9cl3xI4Qe3YseXsyjk0PxDn9JWUBnJrEKTFRWBjKpmwbikIh2B/1ZJMgiGN2tGNirKugKSlAwHnqXOsGRlpWRIVLAkbXLjEQZ1TQ7VjYqSLmgvgJQNEYfc+8VDBEsqBCYeQ7qaqPzoz9iFUdIdy4lmj4WZhok0BXOGwdwhkqErNYXpgAQtqwBfaNAB8brmUEHNSqhvCkjD/KqASAEMXwlFaUiEYWkF2EpR3iopSWk6IlAeERwXhdZCsLK7L0qA1GD4YKiA6GQscI3gusq62aQK2qXuGednPVxhN2h3TUiFwJegsjtEORlAyOu5hgBPBnpCbkBQJYEnz8/a1i0nnAnG+DK4F93yohkwvexZOwGeAY4Btt8zRmTHOWawjSwJ5uobga68NFh+0K97LUQ2QayfTQCvBNhez9ydbOUWqYKaYiK7o6WyerQMZGsZEOaMCZEMFCV65p4xA3tNP/hHVo/p9+jRBGvaTVil7rGvNwYij6sG+moRXJPfInn9v4LutZB1dYR6neL7v4BBwjSIbx2ji0czwipkVtMn1PiKtqpQLo5BZzppaYszvnoyo4tHbzx7ikcwq3UWNQU1tA3rOfERVQqpNfguUc+hrSq8QW1ddW1SVTbLcIhrn7CGxRU6iDHRirDWOCgKMMmTFjrVTku6hfHKYFe7hlfVSmaRoMb3aCuREMoHIQe0e1Xdwux1X9IxWtyu1ee65EN45SJGdzYyIuwwyzKoUdBWDhpFm63JaI3Gp73CoF1GQXtEVZqUhKUVgoYKiS9Etlwq2XKtUKoUfqKJMitKlxtnUQXMr5C4/WTx7b2lZyrFpukMu3Z18WrEZpZlUuN5CAR5PuQbFhk0SsCyLAHqjurpnRrTF4LlFYKGCvAEffJtL62EpqythtYoIVlRAQ3ZghduWOKakAwJpPXtPC7TIeg/1/XqcAYIBRnoejcSqydTXuO4BED/lX9W77vmUnDfGhwLYuto0yA2LsrMMqqLq9fe8X8U655IZhCDWEdIDUd0dlGoFEsti6SQ+EBSSJZaFoVKcXhXPPftbIPbIyRHjDuCwlAhS7uWknST+Non6SZZFl/GECUYojTLLHuD27rq2qSEwRDPRwJxITE0DHfd3HupodrzSAnBUqkDe5IeppnPEV0JCpXOrjH4XnqNdq/3fVEKProXku1I3+0Za5okpUQBZb6Pyn7bLvWDevApYWBpja11jqh0k5XutJSW1phaU6Q0J8Q6GeJ5ue2h/j6UurflDK0Z4vkc3tWFieaIWC+bhERpTZnnYGQP/xpa57wt3akmbdVjFwR2rApBT7rNoIgt5CuFDRQohaUGDxcPYhCr4v8yWYJBwrROuPPOO9l0003ZZpttvmtT/jewciaT2hs426hknAjThU8DLl34jBdhzjYqmdS2HFbO3GgmTaqcFBzHLxtHl9NFQ7yBLqeL8XlDuTQtuVRWbRxbV10b7RJHU6Y05Sr4qYEyXwXvtSaOpks5jHdczu7MMCkVh0Qzk5JdnB13GOdpugyDBqHp0u7Adq/vfVk5E1pmQ7gAnC4mZTKc3dHFONejS0oazOBo/FZph60yGdCKBp2hS7tsmXE4t62Dyek0IR2cQuomRCGtqfR9tsw4nO3Y/LytmUvbOtkynSGkNTIbRN4bEogozdbpDJe2tjEp4wCSSZk0Z7d3Ms7x6JLQYAbxaFtnMmyacYj0o7va99kmmWbTjENYazwBMkvgQirw7JlZsmdkX5f5PtulMpzV2s626Qxlvr9RtmECAqmRaMRqG0ODGMT3B5uVb/Zdm7DBMbgltw4YPCW3nkh1gJdhklnNBFHKPDJ0ap9CYTCaEFIq8BYH/TYiJlVOYkLFhFyG68JQIaM7ViDnfALR4o1j66pr4zTT2d5CoWEz0ocFeHT6KQqNCCMxWWBAp+9QmF/F6LZ4kLBPKfDSoBSTPMGELpd53f1KKhkdqezf7vW9L9n+hEKBTmBSxmWCE2OeZdKJptD3GO0pQDMvHKGzvJJCLRjduhypHA7uSjDHtpgZCqMEFChNia8o8l1GK4ksLgHlM8lx+NOKBHMsk5khG6UDj05cSlaaBpWez2aOw5is9y2AztrkMMHpYJ4p6bTCFDpJRnvBxt8cUzIzFEJJSYHvU+J7FPmK0a4LwmCuaTDDtkDAJhkHA4gZkpiQFGpFp5AUaUVxdowEDo4nmO0WkfF9ql0fQyi8XvTJE+BltxXDShPSGgNNWgh8IRAabK1xpEBBQNS0JiMESRl4/UJak6c0JgFx6z6wHhQQhowQue3N7q1OW2s8BF62vTv/d0hrwloHaR4MgYvAIPCURbJkskNKMqJ7+1LjI3rnD8fLHqM3tKZ33nFLa/KyspNSkJACjQi2uQElgjLOUgeyJOAI6KabEp2jgt1zFAQPJksHZYm7aaKZXStHCFK9tm2NbF9XiNx2b+8Tmd3o1i8I1mmQfn4N9LNd/n99G643BgnTIL59RIrBDIGXQtr5jCXcNyrSTQXtkeKNbpoUsm96AMfduLauujZGFDwVnPKSJmM9HxwHbBtMk7GuF5AVGQUpg5IpUoIZDn5qHyl69TOiwYdaf3av733p7q/9rO7sGkKPPu3lcs6M9QCZl+0U9JfAONdjnJfqlalaBzLNSHAtmzco6Osyzl3z0fgeiNxPCYz1PMAD18vpGue6jPN0dq2y69wLm3gem7gufcJ616JeAiM8l4VaU4AirNbN15S/6tbfKmndCrTOEdOBoVePQF4PFA9QAi/6LeSYK/ZZbU6D+D+GoVt+1xZ8pxgkTN8DKKUHLBz7P2lLxXgo3wQaP0eXREm4CtdXWIYkz5KIrmYYOjHot6Ft2cC2DmTjgLavqk+HsWQU0+1CWhLhe2DYoHy0Uig3g28VkDFLCRuNyHQbKlSCmVeJiK+AdCfalLl+jg6TpxR0raCzZDNmxSspULEgsWSygjqrluK2WfhFdSAErq/xlMIUArurgXTZ5rSoYYz2FPPUMMrC9URavsSSeVg6A/jobH2P7oSCQis0grTMoz1lYAhBoYgS1ilAoDAQKusLEcE4jSClw/iJFKZVhuXEMBHr9b1f4SMQARHSGiVMlKeQ0kYqN+sjEWjto7IP8m5vjM6O87N+B6OPj2jt0L1+fm88Fd8bQwbxnWI9k7avM/Kq1t7n/zgGCdN3jE8Wt/Hge4uZ1xzH8Xxs02B0ZT5HT6ljcl3p/6YtUsK2JxL/93nEl8xihSokrUKEZYYq2Ul+UTn525wQ9NvQtmxAWweycbuRpXy4oG1g21fRZ/rF1OtObC+GsEKYRfV4sWXoVAwHiwVeEamlTQzDpxiDeEYTW97MkLwqIumuXL9FfhFewwrKiZGQ+fzJ2ZEPnvycrrSHpzRaaybqbTnPmENhbBYtFJPGJqQdyumgkzxu7tyGefdPxZACX2lGZ7bhTD2LSjQlwiCsXcBHo1EIFBITHw+DBckozckYYRxqBZQKCwOFzm7jgJ+LJ0pj0+5As2PzD293jjZfYYRoxGTNgZW6z09BCpNwNpzb05o0glZdwnDRgomHh4ERpLxEoLMER+S2fjwkHpJoL8K0LlU/9PeSMa0b4okkv734Ol584106OrsoLynmxCN/xiVnnMib701lt5+fSNtXb1Fc9PWPhF91+5954bV3mPbVHGzbpH3G233ap8+Yw3V33s87H02jpa2D+poh/PrIgznt+CP69HvzvamcdfnNfDVnPjVDqrjotOM55uc/6VfntX+8nwuvvYPf/epwbr3snNz1ex/+J48+8xKffjmLrnii37nNWbCYc6+8lXc/no7jukwYP4bLzz6ZXXccOG712DMu5cEn/93n2l4/3IEX/35n7v2I7fdl8bLGPn2uPv+3nH/qsbn3T/z7Fa6546/MWbCEirJiTjnmUM45+eg+Y+584HHufOBxFi1tpHZYNRf+7lccdfB+ffrc+ue/c8/f/sGS5U2UlxZz8L67c80FvyUcDpKHXXPHX3nqxdeZNW8RkXCIKVtP5LoLf8cmo+tzMuYvWsrZV9zKOx99RsZx2XuXKdxx5blUVZRBUVA3rr6+nsWLF/fRfc0113D++ecDMHv2bE466SRmzJhBLBZj6NChHHHEEVx66aVYVnAc86mnnuLqq69m3rx5uK7LmDFjOOuss/jlL3+Zk3nMMcfw4IMP9l3fvfbipZdeGuCObHgMEqbvEJ8sbuOq52fSkXSpLAgRtkKkXZ+vGmJc9fxMLtp3/EYjTd+2LZ/oMfzD+wV7+P9ipFhGuezEweRLVc9r3k84WI9h8kayZUPYOpCNnyxu4z8zV1AStagpifZrO/TVZxseMV2CVC7Kt8hLZYj7hRhE8KVFVCUwtMmnehM+FeP5oTmHYZmltGVcDF2ASQRtWBSLNGnl8olXyyNqT1bYY+hKO6RdH9fXCAGfyU240vkFRxmvMFoup5QOHCy+VPU87O/JdDEK38nkkiy2yjFcrX/BL+UrbCHnUyXaCeEismQpRYhFqppOopSJLmpYiYPFVDWWD9U49pEfMcFYQIQMRjZeJYPNCl3C52okf/P35FM9ltluLacb/2BLY2627+pQCBxMvCyl6g6GTmOhs8SnS0dJE+JDNZ5CnaDeaFpNd4fOQyGRKApEEgufNDYCsPCQqNXI0obkRFprvFaFyoAMgVkmV8vE/m3igSf+xb9ffZt/PXArNUOr6Ih1sXh549oHrgccx+Xg/fZg+8kT+Otjz6zW/snnM6goK+Wh26+kZmgV702dzq/PuwrDkJx67GEALFyynP2O/h2//uXBPHzHlbz2zkeccM4VDKksZ69dpvSR9/G0r7j37/9kwvgxq+lKptPstcsU9tplChdee0e/9u5/9GmMGVHLa4/fQyQc5ta//J39jzmNee/+i+rK8gHnufcuU/jrzX/IvQ/Z9mp9Ljv7ZE444sDc+4L8vNzrF19/lyN/ezG3X3Eue+68PTPnLeTEc68gEg7l1uHuvz3Jhdf+kXuvv5htJm7GR9O+4sRzr6CkqID9f/RDAB55+kUuuOYO/nLjpUzZeiJzFizm2DMvRQjBzX84C4C3PviEU47+OdtM2gzP87nw2j+y5xG/Ycab/yQvGiGRTLHnEacwcdMxvP7EnwD4/Q13s/8xp/PBJ5/3+SJz+eWXc8IJJ/TMqVe+JcuyOOqoo9hqq60oLi5m+vTpnHDCCSiluPrqqwEoLS3loosuYty4cdi2zXPPPcexxx5LZWUle+21V8/67r03999/f8/6foeFd2GQMH1nUErz4HuL6Ui61JdFcx+QeSGTqG2wuC3J395bzJY1JRt8e+7btqVb3pfuGJqHXcQwbzF5Kk5C5rPcrGNRe5rkAPI29rp8HVsHsjFqG3i+xvWDbb1oyESsYvuD7y5CA1/1o6/BqEG3zCbkdpEJFULZGFJNszC8GI5RwHxRS9LTvKj3Yo/KNpY0NtBFAaW1mzHMX0rU7+LzVsF0huADuiNN9xIJAUqDoxSf6rF86o1mrFhGEQli5LFADMfTMhci002YtK/5hLF8ooL+xcQpEV3kkwrmoUcwW9cA9JE3Rw9HI3lM7cYm/hI2E4sQaOJEadcFdJCf6wPwqR7L0d75bOIvYXOxkCrRlgs4BsEKXUQX+bTrAmLkAZoikhSLOB06nxhRQFBIMqcfGFD3XD2UMaKBYuJ9ZAg0m4lFVIl2mnUxCUKMEE1EcfhS17NYV7KpWMIIT7OlLsDWZdhaYgkPEx8LH5kN9goIpU1G2/hI8kUKK+sNy2ABAt2YRn/ehWrzwddgCMxSiT0hihoSJE3qPiHnZmmkiSKEgw42JHNes0CzRKAwUYF3D8hg06UjCKBIJBg1dhzxZJKH/v0mu+y2Gz/YdhJjx49n7tJl7PbzEwEo3Sx4EB9xyE/56y2XY6AQWa8i9HjfPIycXRKNlfXkXXz2KWgEDz3xDABudhYKgURz9GEHZQO6BRJFfd1w3v/0c55+8XVOOfYwFHDXQ/+kvnYY111yVhCjNmYU//14Ojff9wh7ZgmTALoSSY787UX86frfc/Vtfwb6eglPP/4XaAJvVe+27tetbe3MXbiE+268hAmbBvGN117wO+5+8Em+nD0/R5j68zzaIZuqyvI1eiML8qMDkq6H//k8B+y1Cyf98mAARtYN5/xTjuP6ux7klGMORQjBw/98nhN/cRCH/mSvXJ+Pp3/F9Xc9mCNM702dzo5bT+SIA/cBoL5mKIf9dG8++uzLnK6Xenm+AB649TIqJ+zOJ5/PYOftJ/Pux9NYtLSBz15+hMKCINHVg/feTUn9prz++uvssccePXMqKKC6uv9A75EjRzJyZE8Ny7q6Ot58803++9//5q7tsssufcacdtppPPjgg7zzzjt9CFMoFBpQz3eBQcK0DtgQxXfnNHcxrzlOZUGo37peFfkh5jbHmdPcxbjqDZsR+9u2pbc8pMFyu2/h2jXJ29jr8nVsHcjGRMYn4XiETYOko0hkPPJDZh/bv2zoBMGA+lZGRzN7RZxNqgqIeJKv3GGYRg1mlvnYhibuaKa7w5ivigHYwhMsD40knvb4yo1hGRIpdM4WXylkNq7B191ZoCWzdW1OrykEUmh83auER/bnav0HcLf0ltcNjWSWrmeWrl/rvVifvr0GrRFrkjfQfGbqEWuUOUOPYpgyGEuYOBEE9jq5oOK6b2ZHszFB5N1WRFqh8mwwBPgar9kj9U6G1I4leEPyBpD29dCh8ykYvwsHHnYUh//uApqWL+P4sy5j80mTOeK4X3PTvX/jrBOP4tm3PiY/v4BQOMxsXcSf77iJP//xljXKfvr19xkyrO/vQKMuRyGZpevWatviTjCKh/Jldv3f+GQ2W+70I2b2un+b77w/N1x2Qa4PwMUXncx2u+1L9U6HkbjtYVop6tPejYUsB2CGrqNQ95x21sX11I8aw+3/eJvQ5ntj2yH+/tDdlJZXENl8b77Qxf3a267zeeP9tyifuCeFRcVsO+UHnHruxRSX9Hi/XUyuuvMhLrv1r1QPG86PDziYI4//DaYZfC40OxbhSCFf9LK3LTyMZY0reHmpybCaWjocQWeoqk+feKiKD6c9zqfOcCzLombyHjz09Nk88mkbW2w5mWWLF/HM6x+x/88OHTBQO5acB0Dp2O1h6OZk8pchhCBUv21wMhYIZzJIKXnnnXf6EKZrr72WK664gtraWo444gjOOOOM3JxWxbx583jppZc46KCD+m3XWvP6668ze/Zsrrvuuj5tb775JpWVlZSUlLDbbrtx5ZVXUlZW1q+cjYFBwrQO2BBpBWJJF8fzCVv9uxjDlkFLPEMsua4nhr4/tnwTeRt7Xb6OvoHGuEqhNIRNQdoLvEyrysq4PojgdX+QQqC0RsoeeUYv3mhIgeMr0m4gW6Nzenr3VyJ7GI2eHEQ5BjQQsu2rEqZBbABoTejzVkTaQxXZPScIpUAVWciYS+iLVrzqaL9Hub8JLjnrFA4+8hhKSssoKS3j8pvuZN+dtmLMuE0pKi4BoLSsgsJen3WHHHkce+534EAiAaioGvK1bZo29UNe+ffT3PHA47lrLSubKSuv6NOvrKKCeFcX6VSKcCTCi8/+k5lfTOeR517/2rqFENz76NOc/qsjmTKuBiklpWUV3PXQPygsLh5w3JRddmf3ffZjWE0dSxcv4o7rr+A3vzyEh559BcMI/r4PP/bXjN9iIkXFxUyb+hG3X3c5K1es4JxLrwpk/HA3brjsIj485C22mfIDlixawN/uDTxBLc1NDKupZcrOu/H0Yw+x2177Mn6Licz4fBpPPfYQnuvS0dZKRVU1Pz7wENrb2zjmZ/uA1niexyFHHsvxp57Zr+1KKU4//XR23HFHNs/Wett+++3Jy8vjvPPO4+qrr0Zrzfnnn4/v+zQ29mzZ/u53v2OrrbaitLSU9957jwsuuIDGxkZuvvnmvuszZQqffvopmUyGE088kcsvv7xPeywWY9iwYWQyGQzD4K677uJHP/pRrn3vvffmoIMOYsSIEcyfP58LL7yQffbZh/fffz+3vhsbg4TpO0JR1MI2DdKuT15o9duQdoNg4aLoWmodfA9t+SbyNva6fB19A42xpEQKcH2NFALLkKvJCllB8ayB9CkdjFUKQlYgz9dgZp+Zvgraw1YgW9Cjp1u/rwOyJETQnnvcro396D4/BsnSBoTRmsFoz6DyrNUJkRCoqIHRlsFozeCXD1DP5GtgRWMDb776IhdedWPuWigcZvNJW/H2ay+z61779juuqKSEopKSb82O3pg7awan/+oX/Pr085jyw93WeVxTwzKu/8MF/OmRpwiFv/4aaa25+qJzKC0v5/5/vkA4HOGpR//G7449nEeee42Kqv63hPb56c9yr8eM34yx4zdj3522ZOr777DdTsFW2VEnnpLrM3b85liWzZUXnMFp51+CHQrxsyOOZunihfz2mMPwPJe8/AJ+8auTuPvmaxHZgyYnnnYOLSub+eVPf4TWmtLySvY/+DAeuPt2ZLbPx++/w1/+eDMXXXUjW0yazJJFC7n+D+dz7203cMcNV61m+ymnnMKXX37JO++8k7tWUVHBk08+ycknn8zttweyDz/8cLbaaqucHoAzz+whYRMmTMC2bX79619zzTXX9Ikxevzxx+nq6mL69Omcc8453HjjjZx77rm59oKCAqZNm0Y8Hue1117jzDPPZOTIkbntusMOOyzXd4sttmDChAmMGjWKN998k913330Nd3TDYZAwfUcYW1nA6Mp8vmqIEbWNPls7WmtWxjNsPrSIsZUbvnjht23LN5G3sdfl6+gbaExeyCDPNmlLOpRErT6EqEdWIRqY0djZr754xqM83yaR8SjLs8izTboyHoYIjuQ7vqIgbFKWZ7NAJhAIorbRR39XxkOpIDWCRmNIgac0Kkui+qkEAmTb6etdGvQybRiIjI/wV3Ef9oYpESkfkfl2Exu1NK8AwF0115XWtLe1Djhu3bfkatbLnvlzZnHi4QfwsyOO5sTTzu7TVl5RSWvLyj7XWleuJL+ggHAkwoy3ptPWspLD9tkl1+77Pp98+B6PPXAfH89fsU6eiI/efZu3X3uZ/365kPyCYNv9oi1u4oP/vsm//vEovzrljHWay/C6ekpKy1iyaEGOMK2KLbacjOd5NCxbQv2oMQghOOPCy/jdeZfQ0ryC0rJyPnz3rUBebT0A4UiEy2/6I7+/9hbaWpopr6zmn39/gLz8AkrKgtioO2+4iv0O+jkHHX4UEBC4VCrBleefwW3XXdGH8Jx66qk899xzvP322wwfPryPfXvuuSfz58+npaUF0zQpLi6murq6T0zSqthuu+3wPI9FixaxySab5K7X1AS/C5tuuim+73PiiSdy1lln5e6JlJLRo4O6lZMmTWLmzJlcc801q8U3dWPkyJGUl5czb968QcL0/xukFBw9pY6rnp/J4rYkFfkhwlbgtVgZz1AUsThqSt1Gycf0bdvyTeRt7HX5OvrWNMY0Ao+PZUiSGW81WUfvWA8woL7iqM3PJg/nn58sY0l7ivJ8m5Trk3CDB6clBeX5IZa2pxhWHMTELOklpzzfpiPlAoKhxWFa4w6+8tEapAi8UE52C68n7SP4KvhpSPrEMXWnF+ifZA3i60KHDHQ2Zon+fpc9hTYEOvTtbj3U1I9ECMFnH7/P8Nogrsh1HL6Y9gkH/+KY3LFvpfoStQ2xJTdv9kxOOOyn/OTgw/jteb9frX3C5G145/VX+1z74L9vMGGrbQHYbqed+cer7/Zpv/SsU6kfPYZjTz5tnbdtUqkkQB9SASCkRK81kWgPVjQup6O9jYrKgfMVzZ7xRW7LrzcMw6BqSHBs/8Vn/8nEydtQWtY3UNyyLKqGDAPgpX89xc6775mzOZ1O5TxSOZkymL/O/vFqrfntb3/L008/zZtvvsmIEQPH6pWXB7pff/11mpub+clP+k/lADBt2jSklFRWVg7YRymF67oopQa8L0opMpnMgDKWLVtGa2srQ4Z8/a3fb4pBwvQdYnJdKRftOz6Xy6clnsE2DTYfWsRRGzkP07dtyzeRt7HX5evoG2jM1nWlbNsrD9NAstamb1x1Qa69IGzSlQ5OVxWETbQm1xdYTc629aVoNG0Jl4Jw8IFvGkEeJqWD+CkpsqertM55n6SAkGmQHzJyRCme8ch4CqEBAuK0Knnq7YX6JryqmzZIEZBSU8qcfVoHAenriu4gd637lsf4vsAvC+GXhDBWplFFq2zLaY1M+viVYfyyb/cYdWFREfsffDi3XX0ZJaVlDBlWw1/uvIVEPJ7zTgghePs/L7PTbj8iHA4Tzctf7y25xuVLiXV00NiwDN9XzPrqCwBq60cQzctn7qwZnHDYT5nyw9345Qmn5Dxf0jByROGQI4/jsQf+zC1XXcIBhx7JR+++zSvPPZOLc8rLL2DMuE376I1EoxSXlPa53tK8gpaVzSxdtACAebO+IppfwJChwykqKWHi5G0pLCrm4jN+w69PP4dQOMJTjzzI8qWL+cHue+bk/HSXbfndeZew+z77kUzEueeW69jjxz+hrKKKZYsXcsvVl1JTP5IpPwy8H9M/+YgvPvuEbabsRF5eAdM//YgbLruIfQ/6eS42qr2tlVeff5ZtdtiJTCbDs0/8nVefe5a/PPlcTu+iBfP4ctonbLHl1nR2dPDQfXcyb/ZMrrjl7lyfH+6xNw/ddxfjNpvAFltuzbJFC7jv1mvZf//9cwTllFNO4ZFHHuHZZ5+loKCApqYmAIqKiohEgi9f999/P+PHj6eiooL333+f0047jTPOOCPnOXr//ff58MMP2XXXXSkoKOD999/njDPO4Mgjj6Qk+/vx97//Hcuy2GKLLQiFQkydOpULLriAQw89NEfIr7nmGrbeemtGjRpFJpPhhRde4KGHHuLuu4M5xeNxLrvsMn72s59RXV3N/PnzOffccxk9enSfU3QbG0Lrwe+O64ruoO9YLEZh4bd3cu3/XKbvb0nexl6Xr6NvvTN9r4e+3u0FERM0dKW91fr2JwdYbWws5dKRcimJ2BRG+14rClvE0kFbcZ7F6PJ85rXEaU84fdqLwhbtKYdEOkhemR8yKYnafa5FbYOUo3KvExmf5q40FQUh8kMmiYzPis4UGkFVYXCtu3+3vG5bCqMmSmlmNnahdI+83uOjtsGiliQpx6Mkz6YobGMYgvFDgnX4qqGTplgKX2laEw4pxyft+URMk5AlEFqQ8nxSrofrEZxizAvy6TQnHACq8kOU5dm0JDM0dzkU2ZoDR9sMGV6LYYUwpcDXGl8FH6dS9By/14CvNYYQQT+lcZVCNiSw326AtIcfNQP3nqcQKQ8RNvF/OAx/SBSlNJ4iG77fE8AvEUgREEJfaZTuVTYlq7i/bdV0KsUfb7ya/7zwLJ2xDsZtNoGzf38lm06YBMCfbr2Bxx/6C60rm/nJwYdx1S13rRdZBfj9Gb/hX/94dLXrf37i32yzw07cffO13HPLdau1Dx1ew4vvf557//H773DDZReyYO5sqqqHcuJp5/DTnx+x2rhu/OqQ/dhksy049w/X5K4NpOvym+7Myfpq+mfccf2VzPj8MzzPY9TYcfz69HPYadeeIOSJNSW5MelUitOPP5JZX31OV2eMyqpqdth5N045+0LKKgJPy8wvpnPVRWezaP4cnIzDsNo69jvo5/zyhFOws7E+7W2t/O7Yw5k7a0aQWHbyNpx67sVM2HLrnN4Fc2dz/m9PYPH8eZiWyTY7/IDTL/wD9aN6ck55nsef77iJ5/75OCtXNFJRUcH+++/PVVddRXGWnA2U2+v+++/nmGOOAeD888/ngQceoK2tjfr6ek466STOOOOM3NhPP/2U3/zmN8yaNYtMJsOIESP45S9/yZlnnpmLX3r88ce5/vrrmTNnDlpr6urqOPLIIznjjDMIZ2PNLr74Yh5//HGWLVtGJBJh3LhxnHbaaRx66KEApFIpDjjgAD777DM6OjoYOnQoe+65J1dccQVVVQN78NLpNAsXLmTEiBE5Xd34Np7fg4RpPbChCNMgBjGI/y2s6YN5fZBZ3En8vQa85iTaUwhTYlZGyZ8ylFDd4GfMIAaxPtjQhGlwS24QgxjEIL4jhOoKsWsK8JqTqKSHjJqYlVHEd+RhHsQgBjEwBgnTIAYxiEF8hxBSYFV/uwkqBzGIQXz7WFOdy0Fkceedd7LpppuyzTYDF2IcxCAGMYhBDGIQ/3cxSJjWAaeccgozZszg448//q5NGcQgBjGIQQxiEN8BBgnTIAYxiEEMYhCDGMRaMEiYBjGIQQxiEIMYxCDWgkHCNIhBDGIQgxjEIAaxFgwSpkEMYhCDGMQgBjGItWCQMA1iEIMYxCAGMYhBrAWDeZjWA91J0Ts7O79jSwYxiEF8l3AcB6UUvu/j+/7aBwxiEIPY4PB9H6UU8Xgcx3H6tHU/t79JcZNBwrQe6OrqAqCmpuY7tmQQgxjEd4m6ujruueceUqnUd23KeiOZTHL99dfz/vvv09XVRXFxMQceeCAnnHACn3zyCSeddBKvv/46BQUFX1vHX//6V9555x3mzJmDZVm88cYbfdrnzJnDgw8+yLRp04jFYgwZMoSDDjqIww8/PNfnD3/4A88///xqskeMGMETTzwBwL333st9993Xp72uro5//OMfufeZTIZbb72VV199Fcdx2H777TnvvPMoKytbZ1v6QywW44YbbuCdd95BCMFuu+3GWWedRTQazfWZO3cu119/PTNmzKC4uJhDDz2Uo446ql95r7zyChdddBE//OEPufHGG/u0LVy4kDvuuINPP/0U3/cZMWIE119/PdXV1QC0tLRw++238+GHH5JMJqmrq+O4445jt912A8jd1/7wwAMPsNlmmwFBcd17772XBQsWYNs2W265JaeffjpDhw4FYNq0adxxxx0sXryYdDpNdXU1Bx10EEcc0VPf7/777+eNN95g8eLFhEIhJkyYwKmnnkp9fX2uz7Jly7jtttuYNm0aruuyww47cPbZZ+fuSW84jsMxxxzD3Llzefjhh3OFgAdCS0sL++67L4sXL+63vauri6KiojXKGAiDteTWA0opGhoaKCgo6FPIcJtttuk3R9P6XO/s7KSmpoalS5d+L+rUDWT7dyFvfcaua9819fs6bYP3dMON/b7c0973MxwOs2LFCurr679RLTkIvvE2NzeTTqcJh8NUVlYOWCh1VcycOZPx48evl74777yTyy67jGeeeYaamho6OjpYvHgx++23H3/729847rjjaGlpyRVtXVf0tuUPf/gDxcXFLFu2jPvvv5/W1tY+fa+++mpWrlzJAQccQE1NDe+//z4nnXQS1157LaeccgoAH330EbW1tbkxnuex1VZbccopp3DppZcyc+ZMnnjiCZ566ilefvnlXD/TNFm5cmXOllNOOYUXXniBv/zlL7S1tXHLLbcgpeS///0vvu9z5ZVX0tbWxkEHHTSgLf1h3333pampibvuugvXdTn++OPZeuutefjhh4Hg92X8+PHsvvvunHfeeXz55Zccf/zx3HzzzZxwwgl9ZC1atIgf/vCHjBgxAsuyePXVV3Nt8+fPZ4cdduDYY4/lsMMOo7CwkBkzZrDddttRWRkU+t17773p6Ojg9ttvp7y8nEcffZTLLruMDz/8kHA4zKhRo2hra+uj89JLL+X1119nzpw5CCFYuHAhm2++OaeffjrHHXccsViMk08+GaVU7u/gs88+Y/bs2WyxxRbk5eXx7rvvcvLJJ3PTTTex0047MX78eH784x9z6KGHsvXWW+N5HhdffDFfffUVX3zxBUuWLKG2tpYtt9ySCRMmcOmll+ZsaWho4C9/+UuOvHXjjDPOYO7cubz00ktMnTqVSZMmDfh7l06nWbBgAfvvvz/vvPNOn89drTVdXV0MHToUKb9mNJIexDfG+PHjv/H1WCymAR2Lxb5V274uBrL9u5C3PmPXte+a+n2dtsF7uuHGfl/uae/7mUql9IwZM3QqlVon2wbC4sWL9ZNPPqnvvvtufccdd+i7775bP/nkk3rx4sXrNP6LL75Yb52vv/66tm1bn3baafrll1/WyWRSa631woULNdDn39FHH73Ocvuz5f7779dFRUXr1Pc3v/mN3nXXXQfs8/TTT2shhF60aFGu/dJLL9UTJ04cUH5HR4e2LEs/+eSTueszZ87UgH7//fe153n6448/1p7nrdGWVTFjxgwN6I8//jh37cUXX9RCCP3/2rvzuCir/Q/gn2EWmGFHhn3TEFGvgoJwsbpaEMstt0y5uIRaJKVlatfl6g211BbT0twCwTUXKte8uSGlSSgEKqBsgoSOIssoOzPM9/cHr3l+DjPDorif9+s1f3DOeZ7nzHPG8TvnOcu1a9eIiGjdunVkaWlJjY2NXJm5c+dSr169NM6lVCpp8ODBFBcXR5GRkVrXDQ8PpwkTJuitCxGRsbExbd26VSPNysqKYmNjdd7rpqYmkkqltGTJEi4tMTGRBAIBNTc3c2lr1qwhHo9HTU1Neq89atQomjBhgt7PYllZGQGgX3/9lS5evEhHjhwhAwMDje9FuVxOPB6PvvvuO41jDx8+TJ6enpSdnU0AKCMjQ+v8d1+3vr6esrKyyNXV9YF877JB311A36+QzqY/Trq6jvdzvs4c29GybZW7lzzWpg/u2Ke1TUtKSnD06FHIZDIYGRnBwsICRkZGkMlkOHr0KEpKSto9h7qHoTO8vLzw9ttvY+HChbC2tsaUKVOwatUqODs7Iz4+HgCQm5sLmUyGb775BkBLj5CJiUmbr9ZjRjpb79u3b8PKykpvmU2bNiEoKAiurq4a+fn5+XBwcECPHj0wfvx4lJSUcHnp6elQKBQICgrijvH09ISLiwtSUlL01q91XVpLSUmBhYUFfH19ubSgoCAYGBggNTWVK/OPf/wDIpGIKxMSEoLc3FxUVVVxaUuWLIGNjQ3eeustAIChoSGXp1Kp8PPPP8PDwwMhISGwsbGBv78/9u3bp1GfwYMHY/fu3aisrIRKpcKuXbvQ0NCAoUOH6rzXBw4cQEVFBSZPnsyl+fj4wMDAAAkJCWhubsbt27dx7NgxBAUFQSgU6rwPGRkZOHPmDIYMGaL3s3j79m0AgJWVFWxsbNDY2Agej6fxPo2MjGBgYIC8vDwu7ebNm4iKisK2bds0HnO2di//Bu5Zl4dgzD153HojmPvH2vTp0pU9TM3NzZSYmEirV6+m7du3044dO7jX9u3bafXq1fTDDz9o/NrvKsOHD6eff/6Z+7u+vp4cHBzo2LFjdPLkSQJAVVVVGsdUVFRQfn5+my+FQqF1LX09TK39/vvvJBAI6MiRIzrzr127Rnw+n3bv3q2RfvjwYdqzZw+dP3+efvnlFwoICCAXFxe6c+cOERHt2LGDRCKR1vkGDRpEc+bM0dnD1F5diIiWLl1KHh4eWulSqZTWrVtHRESvvPIKvfPOOxr56p6SnJwcIiI6deoUOTo60q1bt4iIKDIykkaMGMGVl8lkBIAkEgmtXLmSMjIyaPny5cTj8Sg5OZkrV1VVRcHBwQSABAIBmZmZtVn/sLAwCgsL00pPTk4mGxsb4vP5BIACAgK0PgtERI6OjiQSicjAwECjl6q15uZmevXVV+n555/n0srKysjMzIxmzJhBtbW1VFNTQ9OnTycA3P1SqVQUGhpKn3zyCRH9f++nrh6mu7EepmeEoaEhYmJiNKJu5snG2vTp0pXteevWLZSXl2uNhwQAHo8HU1NT3Lp1C7du3brva93t2rVrOHDgALy8vLg0IyMj+Pn54dChQ3qPs7Kygru7e5svgeDe5hBlZWVhxIgRiImJQXBwsM4yW7ZsgYWFBUaOHKmRHhYWhjFjxqB///4ICQnB4cOHIZfLuUHh7eHxeHBwcODaoCN16SrV1dWYOHEiYmNjYW1trbOMSqUCAIwYMQIzZ86Et7c35s2bh9deew0bNmzgyv33v/+FXC7H8ePHkZaWhlmzZmHs2LG4ePGi1jlLS0tx5MgRrkdL7caNG4iKikJkZCTOnTuHX3/9FSKRCG+88YbWzLJTp04hLS0NGzZswNdff42dO3fqrP+0adOQlZWFXbt2cWlSqRSJiYk4ePAgTExMYG5uDrlcjoEDB3Jji9asWYPq6mrMnz+/A3dSE4/Hw/Tp0x/I9y6bJfeYMDQ0xKJFix51NZguxNr06XJ3ezY0NNzXuerr66FUKvUGGQKBAEqlsstn4clkMgDQenxGRCgvL9d73LJly7Bs2bI2z52Tk6MxSLsjcnJyEBgYiHfeeQcLFy7UWYaIEB8fj4kTJ2o83tLFwsICHh4eKCgoAADY2dmhqakJcrlcYxD7zZs3YWdnBwMDA24GWEfqomZnZ4eysjKNNKVSicrKSm7mmp2dHW7evKlRRv23nZ0dCgsLUVxcjGHDhnH56gBJIBAgNzcXzs7OEAgE6NOnj8Z5evfujdOnTwNoGRT+7bffIisrixsw7eXlhVOnTmHt2rUagRXQMoutW7duGD58uEb62rVrYW5uji+++IJL2759O5ydnZGamoq///3vXHr37t0BAP369cPNmzexaNEirVmF06dPx6FDh/Dbb7/ByclJIy84OBiFhYUoLy+HQCCAhYUF7Ozs0KNHDwBAUlISUlJStIIeX19fjB8/Hlu2bIE+LGBiGIZ5iojFYi4o0hUEqIMpsVjcpdd1d3cHj8fD6dOnuf/0mpqakJqaiqlTp3J1ab22VHR0NMaOHdvmudWBR0dlZ2fj5ZdfRmRkJJYuXaq33K+//oqCggKtHhFdampqUFhYiIkTJwJoGZcjFApx4sQJjB49GkDL+KySkhIEBAR0ui5qAQEBkMvlSE9Ph4+PD4CW/+RVKhX8/f25MgsWLIBCoeDGAB07dgy9evWCpaUlxGKxVg/QwoULUV1djW+++QbOzs4QiUQYNGgQcnNzNcrl5eVxY7nq6uoAQGvmF5/P5wIwNSJCQkIC3nzzTa1xSXV1dTrPAUDrPHdTqVRobGzUuMb777+PvXv3Ijk5mfuc6aLuWUtKSkJZWRkXxK1evRqffvopV+769esICQnB7t27ufv7SHT5Qz6GYZin3JM8hmnSpElkb29Phw8fpuzsbJowYQIZGxtTaWkplZaWEo/Ho82bN1NZWRlVV1ff0zWuXr1KGRkZtHjxYjIxMaGMjAzKyMjgznfx4kWSSqU0YcIEkslk3KusrEzrXBMmTCB/f3+d15k9ezYlJydTUVER/f777xQUFETW1tYa54mOjiYXFxdKSkqitLQ0CggIoICAAC6/I3VJTU2lXr16UWlpKZcWGhpKAwYMoNTUVDp9+jT17NmTIiIiuHy5XE62trY0ceJEysrKol27dpFEIqGNGzfqvW+txzAREf30008kFArpu+++o/z8fFqzZg3x+Xw6deoUEbXMeHN3d6cXX3yRUlNTqaCggFasWEE8Hk9jrBoR0fHjxwkAXbp0SevaJ06cIB6PR4sXL6a8vDxKT0+nkJAQcnV15WZSfvvtt3TgwAHKy8ujvLw8iouLI1NTU1qwYAF3nnfffZfMzc0pOTlZ436qz0FEFB8fTykpKVRQUEDbtm0jKysrmjVrlt770pkxTF0xe1UfFjAxDMN0Uld8MV+9epViY2Np9erVlJCQQNu2baOEhARavXo1xcbGdnhpgc6qq6uj2bNnk6urK5mZmdGQIUMoLS2Ny1+yZAnZ2dkRj8fr1LICd4uMjNRaogAAnTx5koiIYmJidOa7urpqnEcul5NYLNaabq4WHh5O9vb2JBKJyNHRkcLDw6mgoECjTH19Pb333ntkaWlJEomERo0aRTKZjMvvSF3Ug+GLioq4tIqKCoqIiCATExMyMzOjyZMnawWY58+fpxdeeIEMDQ3J0dGRPvvss3bvW+uAiYho06ZN5O7uTkZGRuTl5UX79u3TyM/Ly6PXX3+dbGxsSCKRUP/+/bWWGSAiioiIoMGDB+u9/s6dO2nAgAFkbGxMUqmUhg8frhFcrV69mvr27UsSiYTMzMxowIABtG7dOo3AXte9BEAJCQlcmblz55KtrS0JhULq2bMnffXVV6RSqfTW63EJmNjClQzDMJ3U0NCAoqIidO/e/b4WriwpKcHZs2dRXl7OPYaTSqUYNGhQp8cDMcyzrqv+XerDxjA9AQ4dOoTZs2dDpVJh7ty5ePvttx91lZj7NGrUKCQnJyMwMFBjGwfmydTU1ISioiIoFArweDzY29u3uY6PmouLC5ycnHDr1i3U19dDLBZDKpXe+0rETJdRKpXIy8vjZojZ2NhAKpU+4loxXaGurg69e/fGmDFjtLahaQsLmB5zSqUSs2bNwsmTJ2Fubg4fHx+MGjVK5547zJNjxowZmDJlSpuzPZgni7OzMyQSCRQKBXJycmBubs4Nmm2LgYEBbG1tH0INmc7g8/no1asX+Hw+mpubkZ2dDUtLy3tePoF5fCxdulRj1l9HsZ8xj7mzZ8+ib9++cHR0hImJCcLCwnD06NFHXS3mPg0dOvS+NjdlHi8ikYhbjVgoFEIgEGjNNGOeLDwejwt41b1MbATLky8/Px+XL19GWFhYp49lAdMD9ttvv2HYsGHc4mitl7QHWta/UG/i6e/vj7Nnz3J5169fh6OjI/e3o6Mjrl279jCqzuhxv23KPH4626Zjx47VmEp9t9raWgBod80g5sGqrq5Gfn4+zp8/j7S0NI3tSNTKyspw4cIFpKen49KlS1zbqSmVSmRnZ+PChQuws7PTu0UI83B0pE2rq6sRGBio97v3o48+wvLly+/p+ixgesBqa2vh5eWFtWvX6szfvXs3Zs2ahZiYGPz555/w8vJCSEiI1qJozOODtenTp7Nt6unpibKyMigUCo1ySqUSRUVF3Bo5zKOjUqkgkUj0Dp6vrKzEX3/9BQcHB/Tp0wdisRh5eXkabSoQCNC3b1/069cPlZWVWu3NPFzttalcLkdlZSWmTZum87t3//798PDwgIeHx71V4IHMvWN0AkB79+7VSPPz86Np06Zxfzc3N5ODgwMtX76ciFr2NRo5ciSXP2PGDNqxY8dDqS/TvntpU7WTJ0/S6NGjH0Y1mU7oSJvW1tbS0aNHNab+Nzc306VLl6i8vPxhVZXpoHPnzlFlZaVGWk5Ojkb7qVQqyszMpOvXr+s8R3FxMVVUVDzQejIdp6tNs7Ky6PTp09yyAq2/e+fNm0dOTk7k6upK3bp1IzMzM1q8eHGHr8l6mB6hpqYmpKencztpAy0DQIOCgridtP38/JCVlYVr166hpqYG//vf/xASEvKoqsy0oyNtyjxZ9LWpkZERt3UJEaG4uBhmZmZsQsYTQKVSoba2VmMcIY/Hg5mZGfdYTqFQcOPQlEolampqHshUdaZrqFQq1NfXa7RR6+/e5cuX46+//kJxcTFWrFiBqKgofPzxxx2+Bhvu/wiVl5ejublZa4aMra0tLl++DKClS/irr77CSy+9BJVKhTlz5rAv5MdYR9oUAIKCgnD+/HnU1tbCyckJiYmJGls1MI8PfW3K5/OhVCoBtGzJUVlZCbFYzI2r6N69OzcQnHm8qNut9ZgkoVDI7RPY1NSE4uJiLs/Gxoa152NM3aatZ6a2/u69HyxgegIMHz5ca6NE5sl2/PjxR10FpguZmprC19f3UVeD6ULGxsbcZrbM02fSpEmdPoY9knuErK2twefzde5ord7xmnmysDZ9+uhr0+bmZrYmzxNK3W6tB3HfvVEu82RRt2nr5Ty68ruXBUyPkEgkgo+PD06cOMGlqVQqnDhxgj2eeUKxNn366GvThoYGiMXiR1ize1NTU4NJkybB1tYWhoaGcHR0xJIlSwAAycnJ4PF4kMvl93WNpUuXYvDgwZBIJLCwsNDKr6ioQGhoKBwcHGBoaAhnZ2dMnz4dd+7c0Xm+33//HQKBAN7e3hrpixYtAo/H03h5enpqlLlx4wY+/vhjeHp6wtjYGAMHDsTevXthbGyM6upqAICbmxt4PB569OiBnj17gsfj4bPPPuvQeyUihIWF6V2OQv1+nZycdN7btWvXonfv3hCLxejVqxe2bt2qkf/TTz/B19cXFhYWMDY2hre3N7Zt26ZR5ubNm5g0aRIcHBwgkUgQGhqK/Px8Lr+yshLvv/8+evXqBbFYDBcXF3zwwQe4ffs2V2bz5s1a91L9Us8yk8lkGDduHDw8PGBgYIAPP/xQ673GxsbixRdfhKWlJSwtLREUFKQ1tX/SpEla1wgNDdU6188//wx/f3+IxWJYWlpi5MiROu8v0DJeSSwWc49Uga7/7mU/jx6wmpoaFBQUcH8XFRUhMzMTVlZWcHFxwaxZsxAZGQlfX1/4+fnh66+/Rm1tLSZPnvwIa820hbXp06ezbZqQkICgoCBYWlre97WJVKitzYdCcRtCoTmMjXuCx3twv2U3b96MgwcP4uDBg3B2doZcLsfVq1e79BpNTU0YM2YMAgICsGnTJq18AwMDjBgxAp9++imkUikKCgowbdo0VFZW4vvvv9coK5fL8eabbyIwMFCrlw8A+vbtq/GI++6ehsbGRowfPx43btzA5s2b4eLigsTERIwdOxYnTpyAqakpJBIJiAizZs1CaGgoPD09IRQKO7yw7Ndffw0ej9dmmbfeegv9+/fXWkNv/fr1mD9/PmJjYzFo0CCcPXsWUVFRsLS0xLBhwwAAVlZWWLBgATw9PSESiXDo0CFMnjwZNjY2CAkJARFh5MiREAqF2L9/P8zMzLBy5UoEBQUhJycHxsbGuH79Oq5fv44VK1agT58+uHr1KqKjo3H9+nVua6bw8HCtoGXSpEloaGiAjY0NAKCxsRFSqRQLFy7EqlWrdL7X5ORkREREYPDgwTAyMsLnn3+O4OBgZGdna6wpGBoaioSEBO5vQ0NDjfP8+OOPiIqKwrJly/Dyyy9DqVTiwoULqKur48o0NTWhrq4OfD4fhoaG6NatG0pLS7F37154e3t3/Xdv10zwY/RR73Ld+nX3LuBr1qwhFxcXEolE5OfnR3/88cejqzDTLtamT5/OtumwYcMoIyPjvndFr5Kn0cWsGfRH6qt0JuUV+iP1VbqYNYOq5Gn3+Y70S0pKIpFIRDNmzKAjR45QXV0dEf3/jvD63v+9SEhIIHNz8w6V/eabb8jJyUkrPTw8nBYuXEgxMTHk5eWlkacrTe3OnTt07tw5EovFtHjxYjp37hydO3eOrly5QlZWVhQbG0s3b96k8+fPk729Pc2bN4+qq6s79f4yMjLI0dGRZDKZzuUoiIjWrVtHQ4YMoRMnThAAqqqq4vICAgLoo48+0ig/a9Ysev7559u87oABA2jhwoVERJSbm0sAKCsri8tvbm4mqVRKsbGxes+xZ88eEolEpFAodOaXlZWRUCikrVu36swfMmQIzZgxo816EhEplUoyNTWlLVu2cGmRkZE0YsQIvccoFApydHSkuLg4jXR1m7Z+XblyhYiI6uvrKTU1lQICAh7Idy8LmBiGYTqpvr6ecnJy7itgqpKn0dlzo+lMShClpUdQRsZkSkuPoDMpQXT23OgHFjRVVFTQe++9R7du3aL09HT617/+RStXriSlUkk//vgjAaDc3FySyWQkl8uJiGjp0qVkbGzc5uvuNY3UOhowXbt2jYYMGULjx4/XSI+Pj6dBgwaRQqHQGzBJJBKyt7en7t2707hx47Tq8corr9Crr75KFRUV1NzcTDt37iSJREL5+flcGVdXV7K1tSUrKyvy9vamL774Qm8goVZbW0u9e/emffv2EZHu9buys7PJzs6Orl69ygXldwdMAwcO5AIftQULFpBQKKSmpiata6pUKjp+/DhJJBI6evQoERFduHCBAFBBQYFGWScnpzYD3tjYWLK2ttabv2LFCjI3N+cC6tY6GjDduXOHjIyM6ODBg1xaZGQkmZubk1QqJQ8PD4qOjtZYvyw1NZUAUHx8PHl7e5OdnR2FhobSxYsX27xWV/y7bAt7JMcwDPOQEalQWroNSuVtiI1cuUc6Ar4x+EYS1DdcRWnpdpibDejyx3OTJ0/G1KlTYW1tDWtrayQkJOC5555Dv379YGVlBaBlCv3dY4+io6MxduzYNs/r4ODQ6bpERERg//79qK+vx7BhwxAXF8fl5efnY968eTh16pTewfX+/v7YvHkzevXqBZlMhsWLF+PFF19EVlYW90htz549CA8PR7du3SAQCCCRSLB37164u7tz5/nggw8wcOBAWFlZ4cyZM5g/fz5kMhlWrlypt+4zZ87E4MGDMWLECJ35jY2NiIiIwJdffgkXFxdcuXJFq0xISAji4uIwcuRIDBw4EOnp6YiLi4NCoUB5eTns7e0BALdv34ajoyMaGxvB5/Oxbt06vPLKKwAAT09PuLi4YP78+di4cSOMjY2xatUqlJaWQiaT6axbeXk5PvnkE7zzzjt639+mTZswbty4+x6nN3fuXDg4OGisYxYaGorXX38d3bt3R2FhIf7zn/8gLCwMKSkp4PP53L1atGgRVq5cCTc3N3z11VcYOnQo8vLyuM/pQ/dAwjCGYZin2P3+kq2uvkx/pL5KaekRlJn5ttYrLT2C/kh9laqrL3dpvUtLSwkAlZaWaqSPHDmSZsyYobMX5H6018Mkk8no0qVLtH//furTpw+9++67RNTyGMfX15fWr1/PlW3r8ZtaVVUVmZmZaTzKmT59Ovn5+dHx48cpMzOTFi1aRObm5nThwgW959m0aRMJBAJqaGjQmb9//35yd3fXeISHVj1MM2fOpPDwcO5vXfe2rq6OJk+eTAKBgPh8Pjk4ONCcOXMIAN24cYMr19zcTPn5+ZSRkcH1/Jw8eZLLT0tLIy8vLwJAfD6fQkJCKCwsjEJDQ7Xqfvv2bfLz86PQ0FCdvVhERGfOnCEAlJamv5ezIz1My5cvJ0tLSzp//nyb5QoLCwkAHT9+nIiIduzYQQBo48aNXJmGhgaytramDRs26D3Pg+5hYrPkGIZhHjKF4jZUqibwDXSvHM03MIJK1QSF4rbO/Hul7nFoamrSSCcilJeX6z1u2bJlMDExafNVUlLS6frY2dnB09MTw4cPx8aNG7F+/XrIZDJUV1cjLS0N06dPh0AggEAgwJIlS3D+/HkIBAIkJSXpPJ+FhQU8PDy4AfyFhYX49ttvER8fj8DAQHh5eSEmJga+vr569w0EWnqulEqlxsKVd0tKSkJhYSEsLCy4+gHA6NGjMXToUK5MYmIilx8YGAigZZmKmJgYAIBYLEZ8fDzq6upQXFyMkpISuLm5wdTUFFKplLuegYEB3N3d4e3tjdmzZ+ONN97Q2EDWx8cHmZmZkMvlkMlk+OWXX1BRUYEePXpo1Lu6uhqhoaEwNTXF3r179S6hEBcXB29vb/j4+Oi9R+1ZsWIFPvvsMxw9ehT9+/dvs2yPHj1gbW3NtZu6Z61Pnz5cGUNDQ/To0eOePmddhT2SYxiGeciEQnMYGIjQrGqAgG+sld+saoCBgQhCoXmXXtfd3R08Hg+nT59G9+7dAbQET6mpqZg6dSpEIlHL9VutZfOgHsndTaVSAWh5lGVra4uLFy9q5K9btw5JSUn44YcfuLq3VlNTg8LCQkycOBEAuBlVBgaafQN8Pp+7ni6ZmZkwMDDgZoe1Nm/ePLz99tsaaf369cOqVau42W0//vgjt3UOAJw7dw5TpkzBqVOn8Nxzz2kcKxQK4eTkBADYtWsXXnvtNa06302lUqGxsVEr3dy85fOSn5+PtLQ0fPLJJ1zenTt3EBISAkNDQxw4cEDvNi81NTXYs2ePRkDWWV988QWWLl2KI0eOdGhB19LSUlRUVHCBko+PDwwNDZGbm4sXXngBQMsaWcXFxY90Y2sWMDEMwzxkxsY9YWzsjurqbPCNJBrT0okITU23YGr6Nxgb9+zS61pYWCAyMhJz586FtbU1XF1dsXz5clRXVyMqKgpAy55qhw4dwj//+U+IxWKYmJjAysqqU+NGSkpKUFlZiZKSEjQ3NyMzMxNAS8BmYmKCw4cP4+bNmxg0aBBMTEyQnZ2Nf//733j++efh5uYGAPjb3/6mcU4bGxsYGRlppH/00UcYNmwYXF1dcf36dcTExIDP5yMiIgJAy/ged3d3TJ06FStWrEC3bt2wb98+HDt2DIcOHQIApKSkIDU1FS+99BJMTU2RkpKCmTNnYsKECdyyEdeuXUNgYCC2bt0KPz8/2NnZ6VwM0cXFhQvmWgdF6h683r17c+PD8vLycPbsWfj7+6OqqgorV65EVlYWtmzZwh23fPly+Pr64rnnnkNjYyMOHz6Mbdu2Yf369VyZxMRESKVSuLi44OLFi5gxYwZGjhyJ4OBgAC3BUnBwMOrq6rB9+3bcuXOHW/NKKpVqbCeye/duKJVKTJgwQWfbqtuypqYGt27dQmZmJkQiEdcb9Pnnn+Pjjz/G999/Dzc3N9y4cQMAuJ7ImpoaLF68GKNHj4adnR0KCwsxZ84cuLu7c/ukmpmZITo6GjExMXB2doarqyu+/PJLAMCYMWN01uuheCAP+hiGYZ5iT/Isubq6Opo9eza5urqSmZkZDRkyRGOsypIlS8jOzo54PN49LysQGRmpc5kG9bibpKQkCggIIHNzczIyMqKePXvS3Llz2xw7pWsMU3h4ONnb25NIJCJHR0cKDw/Xmi2Wl5dHr7/+OtnY2JBEIqH+/ftrTJVPT08nf39/ri69e/emZcuWaYxfUi+5cPe4odagZ1kBNV1jmHJycsjb25vEYjGZmZnRiBEj6PJlzXFrCxYsIHd3dzIyMiJLS0sKCAigXbt2aZRRL8kgFArJxcWFFi5cSI2NjVrX1vUqKirSOFdAQACNGzeuzffZ+uXq6srlu7q66iwTExNDRC2fv+DgYJJKpSQUCsnV1ZWioqI0xmwRETU1NdHs2bPJxsaGTE1NKSgoSGPpBF0e9BgmHhHRwwvPGIZhnnwNDQ0oKipC9+7d72sHe/ntdJSWbkNtbQFUqiYYGIhgbNwTTk4TYGF+7+NHGOZZ1FX/LvVhj+QYhmEeEQtzH5ibDXioK30zDHNvWMDEMAzzCPF4BjAx6fWoq8EwTDvYzxiGYRiGYZh2sICJYZhnRmlpKaKjo+Hu7g4jIyPY2toiODhYawo7wzBMayxgYhjmmVBcXIwBAwagoqIC27Ztw+XLl/HDDz+gT58+WjuldxSbM8Mwj48H/e+RjWFiGOaZsGbNGhgbG2P37t3cooBubm548cUXO30u9QrJdXV1973XFsMwXUO9UKm+FczvFwuYGIZ5JlRVVaGhoYHbfuJ+8Pl8WFhYoKysDAAgkWguPskwzMNDRKirq0NZWRksLCw0FuLsSmwdJoZhngl//vknRo0ahb/++gs+Pj4IDAzEm2++ya1QvHLlSpSXl2PZsmXcMRs2bMCGDRvQ3NyM3NxcrmxUVBTee+893LhxA3K5/FG8HYZhWrGwsICdnd0D+/HCAiaGYZ4Zzc3NOH36NI4ePYrExEQUFRXhp59+wrBhwzBlyhQEBQVh3LhxWsdduHABUVFRSE1N1XlOhULxMKrPMIweQqHwgfUsqbGAiWGYZ5JCoYCbmxv+8Y9/YOfOnfDz80NcXJzOndV37tyJY8eOIT4+/hHUlGGYxwGbJccwzDNJveO7VCoFESE/Px+enp46y2ZlZaFv374PuYYMwzxO2KBvhmGeehMnTkSfPn3w8ssvw9bWFleuXOHGKn344YcoKiqCvb09RCKRzuOzs7Px7rvvPswqMwzzmGE9TAzDPPUGDhyIQ4cO4bXXXkPv3r0RHR0NT09PZGZmokePHu32ILEeJoZh2BgmhmGeecuWLYNCoUBMTIxWXn19PZycnFBRUfEIasYwzOOC9TAxDPPMy8rKwpo1a+Dm5gY3NzeMGTOGy7t06ZLesU0Mwzw7WA8TwzAMwzBMO1gPE8MwDMMwTDtYwMQwDMMwDNMOFjAxDMMwDMO0gwVMDMMwDMMw7WABE8MwDMMwTDtYwMQwDMMwDNMOFjAxDMMwDMO0gwVMDMMwDMMw7WABE8MwDMMwTDtYwMQwDMMwDNMOFjAxDMMwDMO0gwVMDMMwDMMw7fg//SUUxTYJNIwAAAAASUVORK5CYII=",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "\n",
+ "# Define the specific Δt values to plot\n",
+ "selected_delta_t_values = [7083.444704879608, 70834.44704879608, 134585.44939271256]\n",
+ "\n",
+ "# Define markers for each Δt\n",
+ "markers = {7083.444704879608: 'o', 70834.44704879608: 'd', 134585.44939271256: 's'} # Circle, Diamond, Square\n",
+ "colors = {7083.444704879608: 'tab:blue', 70834.44704879608: 'tab:orange', 134585.44939271256: 'tab:red'}\n",
+ "\n",
+ "plt.figure(figsize=(6, 5))\n",
+ "\n",
+ "for dt in selected_delta_t_values:\n",
+ " if dt in P_S_E_distributions:\n",
+ " sizes = np.array(list(P_S_E_distributions[dt].keys()))\n",
+ " probabilities = np.array(list(P_S_E_distributions[dt].values()))\n",
+ " \n",
+ " plt.scatter(sizes, probabilities, label=f\"$\\delta t$ = {dt} hours\", \n",
+ " marker=markers[dt], color=colors[dt], alpha=0.8)\n",
+ "\n",
+ "plt.xscale(\"log\")\n",
+ "plt.yscale(\"log\")\n",
+ "plt.xlabel(\"$S_E$\")\n",
+ "plt.ylabel(\"$P(S_E)$\")\n",
+ "plt.legend()\n",
+ "plt.title(\"Distribution of $P(S_E)$ for Selected $\\delta t$\")\n",
+ "plt.show()\n",
+ "\n",
+ "for dt, P_S_LT in P_S_LT_distributions.items():\n",
+ " sizes = np.array(list(P_S_LT.keys()))\n",
+ " probabilities = np.array(list(P_S_LT.values()))\n",
+ " \n",
+ " plt.scatter(sizes, probabilities, label=f\"δt={dt}\", alpha=0.7)\n",
+ " \n",
+ "plt.xscale(\"log\")\n",
+ "plt.yscale(\"log\")\n",
+ "plt.xlabel(\"$S_{LT}$\")\n",
+ "plt.ylabel(\"$P(S_{LT})$\")\n",
+ "plt.legend(loc=\"upper right\")\n",
+ "plt.title(\"Distribution of $P(S_{LT})$\")\n",
+ "plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 411,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "refined_delta_t_values = np.linspace(0.0, 154585.44939271256, num=40) \n",
+ "\n",
+ "# analysis_results3, reachability3, percolation_metrics3 = bipartite_percolation.percolation_analysis(refined_delta_t_values)\n",
+ "# print(\"Analysis Results 3:\", analysis_results3) \n",
+ "\n",
+ "# with open(\"UCIcollegeMsg_results/analysis_results3.json\", \"w\") as file:\n",
+ "# json.dump(analysis_results3, file, indent=4)\n",
+ "# with open(\"UCIcollegeMsg_results/percolation_metrics3.json\", \"w\") as file:\n",
+ "# json.dump(percolation_metrics3, file, indent=4)\n",
+ "\n",
+ "with open(\"UCIcollegeMsg_results/analysis_results3.json\", \"r\") as file:\n",
+ " analysis_results3 = json.load(file)\n",
+ "with open(\"UCIcollegeMsg_results/percolation_metrics3.json\", \"r\") as file:\n",
+ " percolation_metrics3 = json.load(file)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 412,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1000x600 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "Correlation between measures:\n",
+ " S_E S_G S_LT\n",
+ "S_E 1.000000 0.971795 0.995693\n",
+ "S_G 0.971795 1.000000 0.954431\n",
+ "S_LT 0.995693 0.954431 1.000000\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1000x600 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "bipartite_percolation.compare_component_measures(analysis_results3)\n",
+ "bipartite_percolation.plot_largest_component(analysis_results3, refined_delta_t_values)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 413,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\userpc\\AppData\\Local\\Temp\\ipykernel_19476\\102792166.py:497: RuntimeWarning: invalid value encountered in divide\n",
+ " rho_G = np.where(N_values > 0, S_G_values / N_values, 0)\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Convert keys of analysis_results3 to float\n",
+ "\n",
+ "# Convert keys of analysis_results3 to strings\n",
+ "analysis_results3 = {str(k): v for k, v in analysis_results3.items()}\n",
+ "\n",
+ "delta_t_values, rho_E, rho_G, chi_E, chi_G, P_S_E_distributions, P_S_LT_distributions = bipartite_percolation.compute_order_parameters(analysis_results3, temporal_graph)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 414,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "P_S_LT_distributions: {3963.729471608014: {'0.0': 0.00024758926983910813, '1183.0': 9.457552612365183e-09, '3333.0': 9.457552612365183e-09, '692.0': 9.457552612365183e-09, '504.0': 9.457552612365183e-09, '5936.0': 9.457552612365183e-09, '1342.0': 1.8915105224730366e-08, '768.0': 1.8915105224730366e-08, '683.0': 9.457552612365183e-09, '3550.0': 4.7287763061825914e-08, '2565.0': 9.457552612365183e-09, '6598.0': 9.457552612365183e-09, '1841.0': 3.783021044946073e-08, '780.0': 9.457552612365183e-09, '360.0': 2.837265783709555e-08, '2513.0': 9.457552612365183e-09, '5915.0': 1.8915105224730366e-08, '1532.0': 2.837265783709555e-08, '237.0': 9.457552612365183e-09, '3772.0': 1.8915105224730366e-08, '1878.0': 9.457552612365183e-09, '628.0': 1.8915105224730366e-08, '1191.0': 1.8915105224730366e-08, '2912.0': 9.457552612365183e-09, '2383.0': 9.457552612365183e-09, '133.0': 2.837265783709555e-08, '12320.0': 9.457552612365183e-09, '8748.0': 9.457552612365183e-09, '5291.0': 9.457552612365183e-09, 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+ ]
+ }
+ ],
+ "source": [
+ "print(\"P_S_LT_distributions:\", P_S_LT_distributions)\n",
+ "\n",
+ "with open(\"UCIcollegeMsg_results/example.json\", \"w\") as file:\n",
+ " json.dump(P_S_LT_distributions, file, indent=4)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 391,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "P_S_LT_distributions: {3963.729471608014: {1: 0.8913213714207893, 2: 0.04245684518742978, 3: 0.01841952946784243, 6: 0.004596370569609478, 5: 0.006366824418644241, 4: 0.010827006230635662, 11: 0.0013618875761805863, 10: 0.0016002179020121888, 7: 0.0035409076980695243, 9: 0.002179020121888938, 12: 0.001293793197371557, 8: 0.0028940110993837457, 157: 3.4047189404514656e-05, 38: 0.00010214156821354398, 13: 0.0015321235232031597, 121: 3.4047189404514656e-05, 36: 0.0004085662728541759, 14: 0.0008511797351128664, 21: 0.0004085662728541759, 211: 3.4047189404514656e-05, 29: 6.809437880902931e-05, 15: 0.0005447550304722345, 23: 0.0002383303258316026, 107: 3.4047189404514656e-05, 182: 3.4047189404514656e-05, 35: 0.0001702359470225733, 18: 0.0004085662728541759, 17: 0.0006468965986857785, 80: 3.4047189404514656e-05, 19: 0.0003404718940451466, 172: 3.4047189404514656e-05, 31: 6.809437880902931e-05, 22: 0.0003404718940451466, 198: 3.4047189404514656e-05, 56: 0.00010214156821354398, 20: 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0.00018057060310581438, 23: 0.00036114120621162876, 11: 0.00018057060310581438, 19: 0.00018057060310581438, 42: 0.00018057060310581438, 606: 0.00018057060310581438, 50: 0.00018057060310581438, 29: 0.00018057060310581438, 243: 0.00018057060310581438, 16: 0.00018057060310581438, 22: 0.00018057060310581438, 26: 0.00018057060310581438, 37: 0.00018057060310581438}, 150621.71992110455: {1: 0.8931860036832413, 6: 0.0034990791896869246, 45158: 0.00018416206261510129, 4: 0.01141804788213628, 3: 0.019337016574585635, 8: 0.002578268876611418, 5: 0.00847145488029466, 2: 0.05064456721915286, 7: 0.0011049723756906078, 12: 0.0009208103130755065, 14: 0.0005524861878453039, 9: 0.0016574585635359116, 17: 0.00036832412523020257, 18: 0.00018416206261510129, 10: 0.0016574585635359116, 20: 0.00018416206261510129, 13: 0.0009208103130755065, 7211: 0.00018416206261510129, 15: 0.0007366482504604051, 28: 0.00018416206261510129, 23: 0.00018416206261510129, 11: 0.00018416206261510129, 19: 0.00018416206261510129, 25: 0.00018416206261510129, 42: 0.00018416206261510129, 29: 0.00018416206261510129, 243: 0.00018416206261510129, 16: 0.00018416206261510129, 22: 0.00018416206261510129, 26: 0.00018416206261510129, 37: 0.00018416206261510129}, 154585.44939271256: {1: 0.8942235558889723, 6: 0.0033758439609902473, 45247: 0.00018754688672168043, 4: 0.011065266316579146, 3: 0.019317329332333082, 5: 0.008064516129032258, 2: 0.05120030007501875, 7: 0.0009377344336084021, 10: 0.0016879219804951237, 12: 0.0007501875468867217, 14: 0.00037509377344336085, 9: 0.0016879219804951237, 17: 0.00037509377344336085, 8: 0.002625656414103526, 18: 0.00018754688672168043, 20: 0.00018754688672168043, 13: 0.0009377344336084021, 7535: 0.00018754688672168043, 15: 0.0007501875468867217, 28: 0.00018754688672168043, 23: 0.00018754688672168043, 11: 0.00018754688672168043, 25: 0.00018754688672168043, 49: 0.00018754688672168043, 29: 0.00018754688672168043, 16: 0.00018754688672168043, 22: 0.00018754688672168043, 26: 0.00018754688672168043, 37: 0.00018754688672168043}}\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(\"P_S_LT_distributions:\", P_S_E_distributions)\n",
+ "\n",
+ "with open(\"UCIcollegeMsg_results/example2.json\", \"w\") as file:\n",
+ " json.dump(P_S_E_distributions, file, indent=4)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 417,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "<>:18: SyntaxWarning: invalid escape sequence '\\d'\n",
+ "<>:26: SyntaxWarning: invalid escape sequence '\\d'\n",
+ "<>:34: SyntaxWarning: invalid escape sequence '\\d'\n",
+ "<>:18: SyntaxWarning: invalid escape sequence '\\d'\n",
+ "<>:26: SyntaxWarning: invalid escape sequence '\\d'\n",
+ "<>:34: SyntaxWarning: invalid escape sequence '\\d'\n",
+ "C:\\Users\\userpc\\AppData\\Local\\Temp\\ipykernel_19476\\4241478495.py:18: SyntaxWarning: invalid escape sequence '\\d'\n",
+ " plt.scatter(sizes, probabilities, label=f\"$\\delta t$ = {dt} hours\",\n",
+ "C:\\Users\\userpc\\AppData\\Local\\Temp\\ipykernel_19476\\4241478495.py:26: SyntaxWarning: invalid escape sequence '\\d'\n",
+ " plt.title(\"Distribution of $P(S_E)$ for Selected $\\delta t$\")\n",
+ "C:\\Users\\userpc\\AppData\\Local\\Temp\\ipykernel_19476\\4241478495.py:34: SyntaxWarning: invalid escape sequence '\\d'\n",
+ " plt.scatter(sizes, probabilities, label=f\"$\\delta t$ = {dt} hours\",\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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Xv/oViYmJ4VYmgL1799K+ffsajylOP2k5EY3O+++/z/bt2wkGgxw6dIgPP/yQZcuWkZ6ezn/+858Kk3GVKSoqon379lx11VVkZGQQGxvLBx98wLp16/jzn/8cLjdw4EAAHnjgAa677jrsdjvjxo076Xj37NnD+PHjufjii1m9ejUvv/wyN9xwQ7ip+LrrruOee+7hyiuv5De/+Q1er5e5c+fSvXv3Cp0UaxPbH//4R5YtW8a5557Lr3/9a2w2G3/729/w+XzMnj37pM+nvuvZuHEjAH369KmxbOfOnenbty8ffPABkydPDm+/99572blzJ1dffTUZGRkEg0FycnJYuHAhCQkJ4Va2svoWL15cLomcM2cON910U/j1+vXryc/P5/LLL6/1+ZSpr89jypQpeL1errzySnr27Inf72fVqlW89tprdOzYMdxf47HHHuOjjz5i6NCh3HLLLfTu3Zv8/Hw2bNjABx98QH5+fpV11Oa9M2fOZOnSpYwcOZJbb72VXr16ceDAAd544w1WrlxJYmJilT/Hkdbz8MMPs3jxYs477zx+/etfEwwGmTNnDn369Klx6PiVV17J3XffzV133cW+fftITEzk5ZdfZtOmTbzxxhvlWrA6derEhx9+yOzZs0lNTaVXr17h2EUDa6hhQkKcqGx4Y9nD4XCoNm3aqIsuukj95S9/qTCB0onDIX0+n5o+fbrKyMgIT4KVkZGhnn322Qp1PfLII6pdu3ZK1/UKk7BVNh19dUOJt27dqq666ioVFxenkpKS1B133FFhqvWlS5eqvn37KofDoXr06KFefvnlKieUqiy26iZhy8zMVLGxsSo6OlpdcMEFatWqVeXKVHVetZnCPJJ6Ih1KPHv2bAWUG+ZZnSeffFLFxsaWG8769ttvq+uvv1517dpVxcTEKJfLpXr16qWmT5+u8vLywuWKioqUpmlq586d1dZxzz33qLS0tIimr6/uPE/l86jK+++/ryZPnqx69uypYmNjw1PZT5kyRR06dKhc2UOHDqmsrCzVoUMHZbfbVZs2bdSoUaPCExeWqeyzj/S9Sin13XffqZ///OeqVatW4UnSsrKylM/nC5ep7Oe4NvWsWLFCDRw4UDkcjlpPwvb555+rESNGKJfLpeLj49XYsWMrfA5KKbV///7w5wWov/71rzUeW5wemlIN0BtOCCEiVFhYSOfOnZk9eza//OUva/XeVatWcfHFF1NYWFhlfx6fz0fHjh259957mTp1al2ELIQ4RdLnRAjRqCUkJHD33Xfzpz/9qdYjOTZu3Ej//v2r7Wg8f/587HZ7ree3EULUH2k5EUI0W7fddhsvvvhieAQPhCZvq2lYsRCiYUlyIoQQQohGRW7rCCGEEKJRkeRECCGEEI2KJCdCCCGEaFRkErZasCyL3Nxc4uLi6nwKdCGEEKI5U0pRVFREamoqul5924gkJ7WQm5tb5+tjCCGEEGeSffv21bhsgCQntVC2Kuq+ffvqZN0SIYQQ4kzhdrvp0KFDtSuMl5HkpBbKbuXEx8dLciKEEEKchEi6RUiHWCGEEEI0KpKcCCGEEKJRkeRECCGEEI2K9DkR4gyilCIYDGKaZkOHIoRoZgzDwGaz1clUG5KcCHGG8Pv9HDhwAK/X29ChCCGaqejoaNq2bYvD4Til45xxycm7777Lb3/7WyzL4p577uHmm29u6JCEqHeWZbFnzx4MwyA1NRWHwyETCQoh6oxSCr/fz+HDh9mzZw/dunWrcaK16pxRyUkwGGTatGl89NFHJCQkMHDgQK688kpatGjR0KEJUa/8fj+WZdGhQweio6MbOhwhRDMUFRWF3W7nu+++w+/343K5TvpYZ1SH2LVr19KnTx/atWtHbGwsY8eOZenSpQ0dlhCnzan8JSOEEDWpq98xTeo31SeffMK4ceNITU1F0zTeeeedCmWys7Pp2LEjLpeLoUOHsnbt2vC+3Nxc2rVrF37drl079u/ffzpCr54lnROFEEKIMk0qOfF4PGRkZJCdnV3p/tdee41p06YxY8YMNmzYQEZGBpmZmeTl5Z1UfT6fD7fbXe5RFwK5ufi++YaSXbvZ+d4bHHn0Ana+9wYlu3bj++YbArm5dVKPEEII0RQ1qT4nY8eOZezYsVXuf/LJJ7nllluYNGkSAM899xzvvfcef//737n33ntJTU0t11Kyf/9+hgwZUuXxZs2axcMPP1x3J0AoMdl78y2UFHkoLg0SaxaQjx//oofZaCQS67IRFRdD2gvzsKem1mndQgghRFPQpFpOquP3+1m/fj2jR48Ob9N1ndGjR7N69WoAhgwZwubNm9m/fz/FxcW8//77ZGZmVnnM++67j8LCwvBj3759pxynVVpKSZGHIz4LSw/gsAdQdh2HPYClBzjisygp8mCVlp5yXUIIIRqv888/nzvvvLOhw2iUmk1ycuTIEUzTpHXr1uW2t27dmoMHDwJgs9n485//zAUXXED//v357W9/W+1IHafTGV7kr64W+7MsRbEviKlBslGEZoBlGGhG6LWpQbEviGWpU65LiObi4MGD3HDDDbRp0waHw0FqaipPPPFEeP9dd93FhAkT6jWGuXPnctZZZ4V/FwwbNoz333+/XJmioiLuvPNO0tPTiYqKYvjw4axbt67Csfbv38/PfvYzWrRoQVRUFP369eOLL76IuJ7jdezYEU3TKjyysrLCZWbNmsXgwYOJi4sjJSWFK664gh07dpxU7GUee+wxNE2r8OVaUzyR9B2s6RqVqa6PIYBpmvz+97+nU6dOREVF0aVLFx555BGUUhEfJ9J4a7ouonaaTXISqfHjx7Nz50527drFrbfeetrr35VXTMC0SNKKMQhiYgBgYmAQJFEL7d+VV3zaYxOiJpal2PR9ISt2HmbT94WnLYn+1a9+RUFBAR988AF79uzh3XffZcCAAeH9a9euZdCgQfUaQ/v27XnsscdYv349X3zxBRdeeCGXX345W7ZsCZe5+eabWbZsGQsXLmTTpk2MGTOG0aNHl7udfPToUUaMGIHdbuf9999n69at/PnPfyYpKSnieo63bt06Dhw4EH4sW7YMgKuvvjpcZsWKFWRlZfH555+zbNkyAoEAY8aMwePx1Cr24+v829/+xllnnVXreGrqOxjJNYLI+hg+/vjjzJ07l2eeeYZt27bx+OOPM3v2bObMmRPxcSKJN5Lr0pj4/f6GDqFmqokC1KJFi8KvfT6fMgyj3DallPr5z3+uxo8ff0p1PfPMM6pXr16qe/fuClCFhYUnfaxPl69Tq88erLYP6aF2DOuhtg7rHX7sGNZDbR/SQ60eMFh9unzdKcUsxPFKSkrU1q1bVUlJyUkf47OvD6ufvfC5GjbzAzXokWVq2MwP1M9e+Fx99vXhOoy0cpmZmapnz57q+eefV9988014u8/nUzabTQHhx9ChQ+s9njJJSUnqhRdeUEop5fV6lWEY6t133y1XZsCAAeqBBx4Iv77nnnvUueeee9L11GTq1KmqS5cuyrKsKsvk5eUpQK1YsaJWsSulVFFRkerWrZtatmyZGjlypJo6depJx3Pi7/EykVyjIUOGqKysrPBr0zRVamqqmjVrVnjbpZdeqiZPnlzufRMmTFA33nhjrY5TU7xK1f66KKXUyJEj1ZQpU9T06dNVUlKSat26tZoxY0Z4f2lpqZoyZYpq1aqVcjqdasSIEWrt2rXljpGenq6eeuqpctsyMjLKHWfkyJEqKytLTZ06VbVo0UKdf/756o033lB9+/ZVLpdLJScnq1GjRqni4uIaY65Jdb9rCgsLI/4ObTYtJw6Hg4EDB7J8+fLwNsuyWL58OcOGDTulY2dlZbF169ZqmzgjleCy48SPjoV5QsOViY6OhVP5SXDZT7kuIerKql1HuH/RJrYdcBPjtJES5yTGaWPbgSLuX7SJVbuO1FvdwWCQiy++mFdffZWLLrqI7Oxsxo8fT3FxMTabjc8++wyAnJwcDhw4wOLFiys9zsyZM4mNja32sXfv3ohiMk2TV199FY/HE/79UrZm0YkTT0VFRbFy5crw6//85z8MGjSIq6++mpSUFM4++2zmzZsXcT3V8fv9vPzyy0yePLnaGYALCwsBSE5OrlXsEPp9eOmll5br33eq8ZyopmsUSR9DgOHDh7N8+XJ27twJwMaNG1m5cmV4YEWkx4lEba7L8V566SViYmJYs2YNs2fP5g9/+EO4tenuu+/mrbfe4qWXXmLDhg107dqVzMxM8vPza1VHWT0Oh4PPPvuMhx56iOuvv57Jkyezbds2Pv74YyZMmFDhdldDalKjdYqLi9m1a1f49Z49e8jJySE5OZm0tDSmTZvGxIkTGTRoEEOGDOHpp5/G4/GER+80Bl1TYtlsODFVKQZW+LYOEHqtdIKGk54psQ0YpRA/sizF3BW7KfYFaRPvCn/JuHSDNvE6B90+5q7YzTmdW6DrdT8l/tSpU7nwwgvJyMgA4IknnqBjx47MnTuX6dOnk5ubS4sWLcL7q3LbbbdxzTXXVFsmtYYRcps2bWLYsGGUlpYSGxvLokWL6N27NwBxcXEMGzaMRx55hF69etG6dWv+9a9/sXr1arp27Ro+xjfffMPcuXOZNm0a999/P+vWreM3v/kNDoeDiRMn1lhPdd555x0KCgr4xS9+UWUZy7K48847GTFiBH379q1V7K+++iobNmyI+A+1SOKpTE3XqLo+htu3bw+/vvfee3G73fTs2RPDMDBNk0cffZQbb7wRqL6v4vHHqUltr8vxzjrrLGbMmAFAt27deOaZZ1i+fDnDhw9n7ty5LFiwIJxMzZs3j2XLlvHiiy8yffr0WtXTrVs3Zs+eDYRuVQWDQSZMmEB6ejoA/fr1q3Xs9alJJSdffPEFF1xwQfj1tGnTAJg4cSILFizg2muv5fDhwzz44IMcPHiQ/v37s3jx4go/eA1J1zWiXFGUlPiICXpB0wANUKAsSqxooqKi6uWXvBAnY0uum915xSRFV1yPR9M0EqPt7M4rZkuum37tE+q07pycHF5++WWefvrpctsTEhI4cOAAAF9++WWNiQmEWgnKWgpOVo8ePcjJyaGwsJA333yTiRMnsmLFinDisHDhQiZPnky7du0wDIMBAwZw/fXXs379+vAxLMti0KBBzJw5E4Czzz6bzZs389xzz4WTk5rqqcqLL77I2LFjq02ysrKy2Lx5c4UWkZpi37dvH1OnTmXZsmURT0seSTyVieQaReL111/nn//8J6+88gp9+vQhJyeHO++8k9TU1Fodpzonc12Od2L/lLZt25KXl8fu3bsJBAKMGDEivM9utzNkyBC2bdtW63oGDhwY/ndGRgajRo2iX79+ZGZmMmbMGK666qpyfXoaWpO6rXP++eejlKrwWLBgQbjMHXfcwXfffYfP52PNmjUMHTr0lOvNzs6md+/eDB48+JSPpbtcRMXF4HDFY5k29ICFCoAesDBNGw5XPFFxMeinsCaBEHUp3+snYCocRuW/LpyGTsBS5HvrvpPdW2+9Rffu3bHbf7zN6fF42LlzJ3369AFCCUwkyUld3NZxOBx07dqVgQMHMmvWLDIyMvjLX/4S3t+lSxdWrFhBcXEx+/btY+3atQQCATp37hwu07Zt2wpJRq9evcrVXVM9lfnuu+/44IMPql3M9I477uDdd9/lo48+on379uX21RT7+vXrycvLY8CAAdhsNmw2GytWrOCvf/0rNpsN0yw/03Uk8VSlpmvUsmVLDMPg0KFD5cocOnSINm3ahF9Pnz6de++9l+uuu45+/fpx0003cddddzFr1qxaHac6tb0uJzr+ZxtCCb9lWRHVDaHbUCfejgkEAhXKxcTEhP9tGAbLli3j/fffp3fv3syZM4cePXqwZ8+eiOutb02q5aShZGVlkZWVhdvtJiHh1P4ytKemkvbCPKzSUqzt/8Na+VeCuo7NCqKfm4Xecyy6yyUTsIlGIznagd3Q8JsWLt2osN9nWth1jeToU1sivTJHjx4tN6IE4PnnnwcIDx3etGkTP/3pT2s8Vl3c1jmRZVn4fL4K22NiYoiJieHo0aMsWbIk3JwOMGLEiArDeHfu3BluXq9NPcebP38+KSkpXHrppRX2KaWYMmUKixYt4uOPP6ZTp05VHqeq2EeNGsWmTZvKlZ00aRI9e/bknnvuwTDK/2xUF09NarpGx/cxvOKKK4Af+xjecccd4fd4vd4Ka70YhhH+8o/0ONWp7XWJVJcuXcJ9RMrOOxAIsG7dunLDlFu1ahVuRQRwu90RJRmapjFixAhGjBjBgw8+SHp6OosWLQrfkWhokpw0gHDikX4bFH4G366EjudC5q/AkI9ENC59UuPpkhLLtgNFtInXy93aUUpR4A3Qq20cfVJPfR6gEw0dOpTs7GyeeuopLrvsMhYvXsx9993Hs88+G26CtiyLHTt2kJubS0xMTJV/QJzqbZ377ruPsWPHkpaWRlFREa+88goff/wxS5YsCZdZsmQJSil69OjBrl27mD59Oj179izX7+2uu+5i+PDhzJw5k2uuuYa1a9fy/PPPh5OuSOp55plnWLRoUXgAgGVZzJ8/n4kTJ2KzVfwdkpWVxSuvvMK///1v4uLiwnM/JSQkEBUVFVHscXFx4T4qZWJiYmjRokWF7dXFU1PfwUiuERBRH8Nx48bx6KOPkpaWRp8+ffjyyy958sknmTx5csTHqSne2lyX2oiJieH2229n+vTp4bpmz56N1+vll7/8ZbjchRdeyIIFCxg3bhyJiYk8+OCDNSZEa9asYfny5YwZM4aUlBTWrFnD4cOH6dWr10nHW+dOedzQGaQ2w6Aitv9LpV4YE3oWop6c6lDiz74+rEbO/lANfGSZGvXnj9UlT3+iRv35YzXwkWVq5OwP6204sWVZ6o9//KPq2LGjiouLU8OHD1fvvfdeuTILFy5UqampClC/+93v6iUOpZSaPHmySk9PVw6HQ7Vq1UqNGjVKLV26tFyZ1157TXXu3Fk5HA7Vpk0blZWVpQoKCioc67///a/q27evcjqd4SHStalnxowZKj09Pfx6yZIlClA7duyoNHaOG2p9/GP+/Pm1jv14VQ2ZrS6ejz76qNJYJk6cGPE1KjNnzhyVlpamHA6HGjJkiPr888/L7Xe73Wrq1KkqLS1NuVwu1blzZ/XAAw8on88X8XEijTeS6xJJucsvvzx87JKSEjVlyhTVsmXLKocSFxYWqmuvvVbFx8erDh06qAULFlQ6lPj4erZu3aoyMzPDQ5S7d++u5syZU2O8kairocSaUo1o7FAjV3Zbp7CwsE5miw2zTKikuVyIulJaWsqePXvo1KnTSXXag9Bw4rkrdrM7r5iApbDrGl1SYrl9ZBeGd21ZxxELIZqi6n7X1OY7VO4hRCA7O5vs7OwaOzadNElMRBMwvGtLzuncgi25bvK9fpKjHfRJjZeRZUKIOifJSQTqskOsEE2Zrmt1PlxYCCFO1KSGEgshhBCi+ZPkRAghhBCNiiQnQgghhGhUJDmJQF3OECuEEEKI6klyEoG6XJVYCCGEENWT5EQIIYQQjYokJ0IIIYRoVCQ5EUIIIUSjIsmJEKL2rHqaLVmIM8z5559fbpVhESLJSQRktI4Qx8nNgfmXhJ5Pk4MHD3LDDTfQpk0bHA4HqampPPHEE+H9d911FxMmTKjXGDp27IimaRUeWVlZ4TKffPIJ48aNIzU1FU3TeOeddyocZ+7cuZx11lnEx8cTHx/PsGHDeP/99yut87HHHkPTtApfXpHEcqK6jC07O5uOHTvicrkYOnQoa9eurbLeqs7BNE1+//vf06lTJ6KioujSpQuPPPIIxy/3VlOZoqIi7rzzTtLT04mKimL48OHVDlyoKpZIysyaNYvBgwcTFxdHSkoKV1xxBTt27ChX5qGHHqrwmfTs2bPKukTVJDmJgIzWEeIYMwgrHoe8raFnM3haqv3Vr35FQUEBH3zwAXv27OHdd99lwIAB4f1r165l0KBB9RrDunXrOHDgQPixbNkyAK6++upwGY/HQ0ZGBtnZ2VUep3379jz22GOsX7+eL774ggsvvJDLL7+cLVu2VKjvb3/7G2edddZJxXKiuorttddeY9q0acyYMYMNGzaQkZFBZmYmeXl5lcZZ1Tk8/vjjzJ07l2eeeYZt27bx+OOPM3v2bObMmRNxmZtvvplly5axcOFCNm3axJgxYxg9ejT79++vVSyRlFmxYgVZWVl8/vnnLFu2jEAgwJgxY/B4POXK9enTp9xns3Llyirra0h+v7+hQ6henayRfIaozXLPQjQm1S1jXisbX1Pqie5KPZ0Ret74ep3EV5PMzEzVs2dP9fzzz6tvvvkmvN3n8ymbzVZuKfuhQ4eelpimTp2qunTpoizLqnQ/oBYtWhTRsZKSktQLL7wQfl1UVKS6deumli1bVmG5+5OJpS5jGzJkiMrKygq/Nk1TpaamqlmzZpV7X03ncOmll6rJkyeX2zZhwgR14403RlTG6/UqwzDUu+++W27/gAED1AMPPFCrWCItc7y8vDwFqBUrVoS3zZgxQ2VkZFT7vhONHDlSTZkyRU2fPl0lJSWp1q1bqxkzZpQrU1paqqZMmaJatWqlnE6nGjFihFq7dm14f3p6unrqqafKvScjI6PccUaOHKmysrLU1KlTVYsWLdT555+vlFLqjTfeUH379lUul0slJyerUaNGqeLi4lqdw/Gq+11Tm+9QaTkRQkTGcwRWzQE0cCWEnlfNCW2vR8FgkIsvvphXX32Viy66iOzsbMaPH09xcTE2m43PPvsMgJycHA4cOMDixYsrPc7MmTOJjY2t9rF3796IYvL7/bz88stMnjwZTTv5VZlN0+TVV1/F4/EwbNiw8PasrCwuvfRSRo8efdpiiSQ2v9/P+vXry8Wl6zqjR49m9erV5d5f0zkMHz6c5cuXs3PnTgA2btzIypUrGTt2bERlgsEgpmnicrnKHTcqKqpCa0Uk17M21xygsLAQgOTk5HLbv/76a1JTU+ncuTM33nhjRD9TL730EjExMaxZs4bZs2fzhz/8IdwaBnD33Xfz1ltv8dJLL7Fhwwa6du1KZmYm+fn5EcV6fD0Oh4PPPvuM5557jgMHDnD99dczefJktm3bxscff8yECRPK3VprKLIqsRAiMquzoeggxLYOvY5uCUUHYPWzMPrBeqt26tSpXHjhhWRkZADwxBNP0LFjR+bOncv06dPJzc2lRYsW4f1Vue2227jmmmuqLZOamhpRTO+88w4FBQX84he/iKj8iTZt2sSwYcMoLS0lNjaWRYsW0bt3bwBeffVVNmzYEPFt5FONpTaxHTlyBNM0ad26dbn3tG7dmu3bt4dfR3IO9957L263m549e2IYBqZp8uijj3LjjTdGXGbYsGE88sgj9OrVi9atW/Ovf/2L1atX07Vr11rFUttrblkWd955JyNGjKBv377h7UOHDmXBggX06NGDAwcO8PDDD3PeeeexefNm4uLiqjzeWWedxYwZMwDo1q0bzzzzDMuXL+eiiy7C4/Ewd+5cFixYEE7c5s2bx7Jly3jxxReZPn16RDGXHXv27Nnh1xs2bCAYDDJhwgTS09MB6NevX8THq0+SnAgharZ/A2x+CxwxoBuhbboRer35Teg9DlLPrvNqc3JyePnll3n66afLbU9ISODAgQMAfPnllzUmJhD6C/fEv3JP1osvvsjYsWMjTmZO1KNHD3JycigsLOTNN99k4sSJrFixgri4OKZOncqyZcsqtAjUVyyRxlaWoNRk3759EZ3D66+/zj//+U9eeeUV+vTpQ05ODnfeeSepqalMnDgxojILFy5k8uTJtGvXDsMwGDBgANdffz3r16+POJZI4z1eVlYWmzdvrtBCc3yrz1lnncXQoUNJT0/n9ddf55e//GWVxzuxj0vbtm3DfXh2795NIBBgxIgR4f12u50hQ4awbdu2iOItM3DgwHKvMzIyGDVqFP369SMzM5MxY8Zw1VVXkZSUVKvj1ge5rSOEqNnXS8FXBM748tud8aHtO5fUS7VvvfUW3bt3x263h7d5PB527txJnz59gFACE0lyUle3db777js++OADbr755pM+L4fDQdeuXRk4cCCzZs0iIyODv/zlL6xfv568vDwGDBiAzWbDZrOxYsUK/vrXv2Kz2TDN8kO46yKWSGMDaNmyJYZhcOjQoXLvOXToEG3atAGI+BymT5/Ovffey3XXXUe/fv246aabuOuuu5g1a1b4uDWV6dKlCytWrKC4uJh9+/axdu1aAoEAnTt3jjiW2l7zO+64g3fffZePPvqI9u3bV3stExMT6d69O7t27aq23PE/3wCapmFZVrXvOZ6u6xVuxQQCgQrlYmJiyr02DINly5bx/vvv07t3b+bMmUOPHj3Ys2dPxHXXF2k5EULUrHsm5LwCPvex/ibH+NzgjIPuF9dLtUePHq0wGuL5558HCA8d3rRpEz/96U9rPFZd3daZP38+KSkpXHrppTWWjZRlWfh8PkaNGsWmTZvK7Zs0aRI9e/bknnvuwTCMeo+lqtgglLgMHDiQ5cuXc8UVV4T3L1++nDvuuAMg4nPwer3oevm/jw3DKPelHEkZCH3pxsTEcPToUZYsWRK+dRFJLJHGq5RiypQpLFq0iI8//phOnTrVeO2Ki4vZvXs3N910U41lq9KlS5dwP5GyWy+BQIB169aFhzu3atUq3JII4Ha7I04wNE1jxIgRjBgxggcffJD09HQWLVrEtGnTTjrmuiDJSQSys7PJzs6ukEELccZIPRv6/hS+fBkcsaFbOpYJfg+cfROk9q+XaocOHUp2djZPPfUUl112GYsXL+a+++7j2WefDTc9W5bFjh07yM3NJSYmhoSEhEqPVRe3dSzLYv78+UycOBGbreKvz+Li4nJ/Je/Zs4ecnBySk5NJS0sD4L777mPs2LGkpaVRVFTEK6+8wscff8ySJUuIi4sr14cBQl+8LVq0qLC9plieeeYZFi1axPLly+sktjLTpk1j4sSJDBo0iCFDhvD000/j8XiYNGkSQMTnMG7cOB599FHS0tLo06cPX375JU8++SSTJ0+OuMySJUtQStGjRw927drF9OnT6dmzZ61iiTTerKwsXnnlFf79738TFxfHwYMHgdAtxqioKAB+97vfMW7cONLT08nNzWXGjBkYhsH1119f4fOJVExMDLfffjvTp08Pf1azZ8/G6/WGbxVdeOGFLFiwgHHjxpGYmMiDDz5YIZGtzJo1a1i+fDljxowhJSWFNWvWcPjwYXr16nXS8daZkx4vdAaSocSiqaqTocTFh5Wae65ST/RQ6rmfhJ7nnhfaXk8sy1J//OMfVceOHVVcXJwaPny4eu+998qVWbhwoUpNTVWA+t3vfldvsSil1JIlSxSgduzYUen+jz76qNyw5rLHxIkTw2UmT56s0tPTlcPhUK1atVKjRo1SS5curbLOqoa11hTLjBkzVHp6er3ENmfOHJWWlqYcDocaMmSI+vzzz6uMv6pzcLvdaurUqSotLU25XC7VuXNn9cADDyifzxdxmddee0117txZORwO1aZNG5WVlaUKCgpqHUskZSq7doCaP39+uMy1116r2rZtqxwOh2rXrp269tpr1a5du2pd1+WXX17ucykpKVFTpkxRLVu2rHQocWFhobr22mtVfHy86tChg1qwYEGlQ4lPrGfr1q0qMzMzPES5e/fuas6cOdXGW5O6GkqsKdUIxgw1EW63m4SEBAoLC4mPj6/5DUI0EqWlpezZs4dOnTpF3OmvUl+9Dst+D7YoCJbARX+Es6qe+EsIcWap7ndNbb5DpUOsECJyfSZA6gDw/hB67nNlQ0ckhGiGpM+JECJyhg1G3gPe/NCzIb9ChBB1T36zCCFqJ7U/TPrfj/OdCCFEHZPbOkKI2pPERAhRjyQ5EUIIIUSjIsmJEEIIIRoVSU6EEEII0ahIchKB7OxsevfuzeDBgxs6FCGEEKLZk+QkAllZWWzdujXi5bSFEEIIcfIkORFCCCFEoyLJiRBCCNFInX/++eHVh88kkpwIIWoUyM3F9803VT4Cubn1Wv/Bgwe54YYbaNOmDQ6Hg9TUVJ544onw/rvuuosJEybUawyffPIJ48aNIzU1FU3TeOedd06qjGma/P73v6dTp05ERUXRpUsXHnnkEcqWOSsqKuLOO+8kPT2dqKgohg8fXuGWcl3FUtvYIi1zvMceewxN08p9wdY2tsqOEWkss2bNYvDgwcTFxZGSksIVV1zBjh07al1XdnY2HTt2xOVyMXToUNauXVvrY9Q2ljOZzBArhKhWIDeXvTffglVaWmUZ3eUi7YV52FNT6yWGX/3qVwQCAT744AOSkpI4dOgQBQUF4f1r167l0ksvrZe6y3g8HjIyMpg8eXKViVAkZR5//HHmzp3LSy+9RJ8+ffjiiy+YNGkSCQkJ/OY3v+Hmm29m8+bNLFy4kNTUVF5++WVGjx7N1q1badeuXZ3GUtvYIi1TZt26dfztb3/jrLPOOunYqjpGpLGsWLGCrKwsBg8eTDAY5P7772fMmDFs3bqVmJiYiOp67bXXmDZtGs899xxDhw7l6aefJjMzkx07dpCSkhJxvLWJpaH5/X4cDkfDBXBKayOfYWqz3LMQjUl1y5jXpHT3brXzggvV1xeNUbsuvazC4+uLxqidF1yoSnfvrofIQzIzM1XPnj3V888/r7755pvwdp/Pp2w2W7kl7IcOHVpvcZQB1KJFi06qzKWXXqomT55cbtuECRPUjTfeqLxerzIMQ7377rvl9g8YMEA98MADdR5LbWKrTRmllCoqKlLdunVTy5YtUyNHjlRTp06tdWw1HSPSWI6Xl5enALVixYqI6xoyZIjKysoKvzZNU6WmpqpZs2ad1DnXFMvxRo4cqaZMmaKmT5+ukpKSVOvWrdWMGTPKlSktLVVTpkxRrVq1Uk6nU40YMUKtXbu2XJn09HT11FNPlduWkZERPtbIkSNVVlaWmjp1qmrRooU6//zzlVJKvfHGG6pv377K5XKp5ORkNWrUKFVcXFxlvNX9rqnNd6jc1hFCRERzONCdzgoPrZ7/ugoGg1x88cW8+uqrXHTRRWRnZzN+/HiKi4ux2Wx89tlnAOTk5HDgwAEWL15c6XFmzpxJbGxstY+9e/fW67kADB8+nOXLl7Nz504ANm7cyMqVKxk7dizBYBDTNCssNR8VFcXKlSsbNLbalIHQKMdLL72U0aNHn3Q8NR0j0liOV1hYCEBycnJEdfn9ftavX19uu67rjB49mtWrV9cq3khjOdFLL71ETEwMa9asYfbs2fzhD39g2bJl4f133303b731Fi+99BIbNmyga9euZGZmkp+fH1Ecx9fjcDj47LPPeO655zhw4ADXX389kydPZtu2bXz88cdMmDChylt4dUlu6wghGrWpU6dy4YUXkpGRAcATTzxBx44dmTt3LtOnTyc3N5cWLVqE91fltttu45prrqm2TGo93ZY63r333ovb7aZnz54YhoFpmjz66KPceOONAAwbNoxHHnmEXr160bp1a/71r3+xevVqunbt2uCxRVrm1VdfZcOGDac0/UIkx4gkluNZlsWdd97JiBEj6Nu3b0R1HTlyBNM0ad26dbntrVu3Zvv27bWKN5JYKnPWWWcxY8YMALp168YzzzzD8uXLueiii/B4PMydO5cFCxaEk7J58+axbNkyXnzxRaZPnx5RPGXHnj17dvj1hg0bCAaDTJgwgfT0dAD69esX8fFOhSQnQohGKycnh5dffpmnn3663PaEhAQOHDgAwJdfflljYgKhv05r+gv1dHj99df55z//ySuvvEKfPn3IycnhzjvvJDU1lYkTJ7Jw4UImT55Mu3btMAyDAQMGcP3117N+/foGjy2SMvv27WPq1KksW7asQgtQpCI9RiTxHi8rK4vNmzeXa4U6nfHWFEtVTuy/0rZtW/Ly8gDYvXs3gUCAESNGhPfb7XaGDBnCtm3banEWMHDgwHKvMzIyGDVqFP369SMzM5MxY8Zw1VVXkZSUVKvjngxJToQQjdZbb71F9+7dsdvt4W0ej4edO3eGOzzm5ORElJzMnDmTmTNnVltm69atpKWlnVrQNZg+fTr33nsv1113HRD6S/S7775j1qxZTJw4kS5durBixQo8Hg9ut5u2bdty7bXX0rlz53qNK5LYIimzfv168vLyGDBgQPi4pmnyySef8Mwzz+Dz+TCM6le1jvQYkcRb5o477uDdd9/lk08+oX379hHX5fF4MAyDQ4cOlTveoUOHaNOmTa3irSmWqhz/8w+gaRqWZdX4vuPpul7hdkwgECj3+sROuYZhsGzZMlatWsXSpUuZM2cODzzwAGvWrKFTp061qr+2JDkRQjRaR48exePxlNv2/PPPA4RHeWzatImf/vSnNR6rsdzW8Xq96Hr57n6GYVT4somJiSEmJoajR4+yZMmScs3tDRlbTWVGjRrFpk2byu2fNGkSPXv25J577qkxManNMSKJVynFlClTWLRoER9//HGFL9Wa6nI6nQwcOJDly5dzxRVXAKFbMsuXL+eOO+6oVbw1xXIyunTpEu4nUnbrJRAIsG7dunJDmVu1ahVubQRwu93s2bOnxuNrmsaIESMYMWIEDz74IOnp6SxatIhp06adcuzVkeRECBER5fdT2d9qyu+vtzqHDh1KdnY2Tz31FJdddhmLFy/mvvvu49lnnw03LVuWxY4dO8jNzSUmJoaEhIRKj3Wqt3WKi4vZtWtX+PWePXvIyckhOTk53NoSSZlx48bx6KOPkpaWRp8+ffjyyy958sknmTx5MgBLlixBKUWPHj3YtWsX06dPp2fPnkyaNKnOY3nmmWdYtGgRy5cvjyi2SMrExcVV6EMRExNDixYtwttrii2SY0Qab1ZWFq+88gr//ve/iYuL4+DBg0Do1mBUVFREdU2bNo2JEycyaNAghgwZwtNPP43H4wl/JpHGW1MsJyMmJobbb7+d6dOnh6/f7Nmz8Xq9/PKXvwyXu/DCC1mwYAHjxo0jMTGRBx98sMZEcc2aNSxfvpwxY8aQkpLCmjVrOHz4ML169TqpWGulxvE8IkyGEoum6lSGEvv371e7xl6idl5wYZWPXWMvUf79++s8bsuy1B//+EfVsWNHFRcXp4YPH67ee++9cmUWLlyoUlNTFaB+97vf1XkMZT766KNyQ5bLHhMnTqxVGbfbraZOnarS0tKUy+VSnTt3Vg888IDy+XxKKaVee+011blzZ+VwOFSbNm1UVlaWKigoqJdYZsyYodLT0yOOLdIyJzpxWG0ksdV0jEhjqaweQM2fP79Wdc2ZM0elpaUph8OhhgwZoj7//PMq31/VMeoqlssvv7zctSopKVFTpkxRLVu2rHIocWFhobr22mtVfHy86tChg1qwYEGFocQn1rN161aVmZkZHqLcvXt3NWfOnGrPu66GEmtKnYYxQU1cdnY22dnZmKbJzp07KSwsJD4+vqHDEiJipaWl7Nmzh06dOp1Up79Abm6Nk7DV1wRsQoimo7rfNW63m4SEhIi+Q+W2TgSysrLIysoKX1ghzjSSeAghTieZhE0IIYQQjYokJ0IIIYRoVCQ5EUIIIUSjIsmJEGcQ6f8uhKhPdfU7RpITIc4AZTNMer3eBo5ECNGclf2OOXFW29qS0TpCnAEMwyAxMTG8Hkd0dDSapjVwVEKI5kIphdfrJS8vj8TExIhmAq6OJCdCnCHK1gEpS1CEEKKuJSYmhn/XnApJToQ4Q2iaRtu2bUlJSamw4JcQQpwqu91+yi0mZSQ5EeIMYxhGnf0CEUKI+iAdYoUQQgjRqEhyIoQQQohGRZITIYQQQjQqkpwIIYQQolGR5EQIIYQQjYokJ0IIIYRoVCQ5EUIIIUSjcsYlJ1deeSVJSUlcddVVDR2KEEIIISpxxiUnU6dO5R//+EdDhyGEEEKIKpxxycn5559PXFxcQ4chhBBCiCo0quTkk08+Ydy4caSmpqJpGu+8806FMtnZ2XTs2BGXy8XQoUNZu3bt6Q9UCCGEEPWmUa2t4/F4yMjIYPLkyUyYMKHC/tdee41p06bx3HPPMXToUJ5++mkyMzPZsWMHKSkpAPTv359gMFjhvUuXLiU1NbVW8fh8Pnw+X/i12+2u5RkJIYQQorYaVXIyduxYxo4dW+X+J598kltuuYVJkyYB8Nxzz/Hee+/x97//nXvvvReAnJycOotn1qxZPPzww3V2PCGEEELUrFHd1qmO3+9n/fr1jB49OrxN13VGjx7N6tWr66XO++67j8LCwvBj37599VKPEEIIIX7UqFpOqnPkyBFM06R169bltrdu3Zrt27dHfJzRo0ezceNGPB4P7du354033mDYsGGVlnU6nTidzlOKWwghhBC102SSk7rywQcfNHQIQgghhKhGk7mt07JlSwzD4NChQ+W2Hzp0iDZt2tRr3dnZ2fTu3ZvBgwfXaz1CCCGEaELJicPhYODAgSxfvjy8zbIsli9fXuVtmbqSlZXF1q1bWbduXb3WI4QQQohGdlunuLiYXbt2hV/v2bOHnJwckpOTSUtLY9q0aUycOJFBgwYxZMgQnn76aTweT3j0jhBCCCGavkaVnHzxxRdccMEF4dfTpk0DYOLEiSxYsIBrr72Ww4cP8+CDD3Lw4EH69+/P4sWLK3SSFUIIIUTTpSmlVEMH0dhlZ2eTnZ2NaZrs3LmTwsJC4uPjGzosIYQQoslwu90kJCRE9B0qyUkt1ObCCiGEEOJHtfkObTIdYoUQQghxZpDkRAghhBCNiiQnZyLLbOgIhBBCiCpJchKBZjUJW24OzL8k9CyEEEI0QtIhthaafIdYMwiv3wTfroSO58I1C8FoVKPJhRBCNFPSIVZUbsvbkLsBoluEnrcsauiIhBBCiAokOTlTeI7AqjmABq6E0POqOaHtQgghRCMiyckZIJCbi2/RLHz7DuIrTcKXHww97zuAb9FjBHJzGzpEIYQQIkw6HETg+Blim5pAbi57f3ETVn4uYAPN/eNOZYMl76H/40vSFizEnpraYHEKIYQQZaTlJAJNeVViq7QUq7gQTbPQHQa6Xfvx4TDQNAuruBCrtLShQxVCCCEAaTk5M9ij0JQH3bBAM37crkwspaPsUQ0XmxBCCHECaTk5ExgOcMaDsoCykeMq9NqZENovhBBCNBKSnJwpopNBt4MVDL22gqHX0UkNG5cQQghxAklOzhS6DWJTQv9Wxzr2xqaEtgshhBCNiCQnEWg209dHJYI9OtRqYo8OvRZCCCEaGUlOItCUR+uUUX4/ps9PqZFEUDkpNZIwfX6U39/QoQkhhBDlSJt+M6e7XOguFyVFHooLPARMC1Qc+EqwGz5inTai4mLQXa6GDlUIIYQAJDlp9uypqeT932yefu8rvH6T+Cg7dl0jYCncJQGiHQZ3XnoWXWQCNiGEEI2EJCfNnGUpnt1WzO6olrRp7cKtaeF9Sil2u308u62YoecodF2r5khCCCHE6SF9Tpq5LbluducVkxTtQNPKJx+appEYbWd3XjFbct1VHEEIIYQ4vSQ5aebyvX4CpsJhVP5ROw2dgKXI90rHWCGEEI2DJCfNXHK0A7uh4TetSvf7TAu7rpEcLbPECiGEaBwkOYlAU57npE9qPF1SYjnqDaCUKrdPKUWBN0CXlFj6pMY3UIRCCCFEeZKcRKApz3Oi6xq3j+xCrNPgoNtHScDEshQlAZODbh+xToPbR3aRzrBCCCEaDUlOzgDDu7Zk5pX96NU2Dq8vSF6xD68vSK+2ccy8sh/Du7Zs6BCFEEKIMBlKfIYY3rUl53RuwZZcN/leP8nRDvqkxkuLiRBCiEZHkpMziK5r9Guf0NBhCCGEENWS2zpCCCGEaFQkORFCCCFEoyLJiRBCCCEaFUlOhBBCCNGoSHIihBBCiEZFkpMINOUZYoUQQoimRlMnzmkuquR2u0lISKCwsJD4eJnuXQghhIhUbb5DpeVECCGEEI2KJCdCCCGEaFQkORFCCCFEoyLJiag9y2zoCIQQQjRjkpyI2snNgfmXhJ6FEEKIeiDJiYicGYQVj0Pe1tCzGWzoiIQQQjRDkpyIyG15G3I3QHSL0POWRQ0dkRBCiGZIkhMRGc8RWDUH0MCVEHpeNSe0XQghhKhDkpyIGgVyc/EtmoVv30F8pUn48oOh530H8C16jEBubkOHKIQQohmxNXQAonEL5Oay9xc3YeXnAjbQ3D/uVDZY8h76P74kbcFC7KmpDRanEEKI5kOSE1Etq7QUq7gQTbPQ7HaUUihAAzTNQAUCWMWFWKWlDR2qEEKIZkKSE1EzexRYHkyCmJqOUqBpYGCiG3povxBCCFFHpM9JBM70VYl9lkGhikJTFgCapoVaTpRFoYrCZxkNG6AQQohmRZKTCGRlZbF161bWrVvX0KGcdpalKPYFKSAWU7NhIzQ7rIGJqdkoIJZiXxDLksWthRBC1A1JTkS1duUVEzAt0Gwc1ZOAUGIChF5rNgKmxa684oYMUwghRDMiyYmoVmFpAAjdyinWYinFiYFJKS6KtVg0TStXTgghhDhV0iFWVCvBZacAMMwAGuBWCRjKxK3FY1NBdDMQLieEEELUBWk5EdXqntYSnC50M4gjUIoWtCgwE9GCFo5AKboZBKcrVE4IIYSoA9JyIqrlbN8O2xNzePq9r/D6TeKj7Nh1jYClcJcEiHYY3HnpWTjbt2voUIUQQjQTkpyIGg0b3geV0pq5K3azO6+YgKWw6xpd0mO5fWQXhnWVVhMhhBB1R5ITEZHhXVtyTucWbMl1k+/1kxztoE9qPLquNXRoQgghmhlJTkTEdF2jX/uE2r3JMkGXSdqEEEJETpITUacCubk/rrOTtw0++TP85LeQ0gsA3eWSBQKFEEJUS5ITUWcCubnsvfmWUHKiFHiPQNAHb90H0S1B09BdLtJemCcJihBCiCpJciLqjFVailVaimazoVkloPnBoYPygxFE6VHhMkIIIURVZJ4TUec0m47uP4puA91uCz37j6LZ5MdNCCFEzeTbQtQ9bz5YAdCPNczpttBr79GGjUsIIUSTIMmJqFtBP/jcoOlA2TBjLfTaVwimvyGjE0II0QRIciLqVrAElAWagaUUplJYSoFmhLYHSho6QiGEEI2cdIgVdcsehfJ5CAQDmOgoBZoGBhY6OtijGjpCIYQQjdwZ1XKyb98+zj//fHr37s1ZZ53FG2+80dAhNTs+y6Ao6ISgBaZCswBTQdCiKOjEZ8mEbEIIIap3RrWc2Gw2nn76afr378/BgwcZOHAgl1xyCTExMQ0dWvPgcHLU1NEsFy7Lj46JhYGOhYkNDy6UqYPD2dCRCiGEaMTOqOSkbdu2tG3bFoA2bdrQsmVL8vPzJTmpIzuJ5fELbifBsDjXWseEkrfxo+EgwNtR41mpD6LQ1JlFLP0aOlghhBCNVqO6rfPJJ58wbtw4UlNT0TSNd955p0KZ7OxsOnbsiMvlYujQoaxdu/ak6lq/fj2madKhQ4dTjFqUyff6ORSVREGLVBanjGNPcleS4wvZk9yNxSmXUdAilUPRSeR7ZcSOEEKIqjWq5MTj8ZCRkUF2dnal+1977TWmTZvGjBkz2LBhAxkZGWRmZpKXlxcu079/f/r27VvhkZubGy6Tn5/Pz3/+c55//vl6P6czSXK0A7uh4TctLM3g1egb+NboyKvR12NpBj7Twq5rJEc7GjpUIYQQjZimlFINHURlNE1j0aJFXHHFFeFtQ4cOZfDgwTzzzDMAWJZFhw4dmDJlCvfee29Ex/X5fFx00UXccsst3HTTTTWW9fl84ddut5sOHTpQWFhIfHx87U+qmbMsxcT5a9l2oIg28U40TUNXJpZmoJTioNtHr7ZxvDRpCLqu1XxAIYQQzYbb7SYhISGi79BG1XJSHb/fz/r16xk9enR4m67rjB49mtWrV0d0DKUUv/jFL7jwwgtrTEwAZs2aRUJCQvght4Cqp+sat4/sQqzT4KDbR0nAJKh0SgImB90+Yp0Gt4/sIomJEEKIajWZ5OTIkSOYpknr1q3LbW/dujUHDx6M6BifffYZr732Gu+88w79+/enf//+bNq0qcry9913H4WFheHHvn37TukczgTDu7Zk5pX96NU2Dq8vSF6xD68vSK+2ccy8sh/Du7Zs6BCFEEI0cmfUaJ1zzz0Xy7IiLu90OnE6ZdhrbQ3v2pJzOrdgS66bfK+f5GgHfVLjpcVECCFERJpMctKyZUsMw+DQoUPlth86dIg2bdrUa93Z2dlkZ2djmma91tOc6LpGv/YJDR2GEEKIJuikb+sEAgH27dvHjh07yM/Pr8uYKuVwOBg4cCDLly8Pb7Msi+XLlzNs2LB6rTsrK4utW7eybt26eq1HCCGEELVsOSkqKuLll1/m1VdfZe3atfj9fpRSaJpG+/btGTNmDLfeeiuDBw8+qWCKi4vZtWtX+PWePXvIyckhOTmZtLQ0pk2bxsSJExk0aBBDhgzh6aefxuPxMGnSpJOqTzQSlgm6TGsvhBAiJOLk5Mknn+TRRx+lS5cujBs3jvvvv5/U1FSioqLIz89n8+bNfPrpp4wZM4ahQ4cyZ84cunXrVqtgvvjiCy644ILw62nTpgEwceJEFixYwLXXXsvhw4d58MEHOXjwIP3792fx4sUVOsmKxi2Qm4tVWhp6kbcNPvkz/OS3kNILAN3lwp6a2oARCiGEaEgRz3Ny/fXX83//93/06dOn2nI+n4/58+fjcDiYPHlynQTZ0I7vc7Jz506Z5+QUBHJz2XvzLaHkRCnwHoGgD2xOiG4JmobucpH2wjxJUIQQohmpzTwnjXYStsaoNhdWVM73zTfsvfkWNJsNzSqB4jzQtFCiEpuC0qNQwSBpL8zD2blzQ4crhBCijpy2Sdg8Hs+pvF2cwTSbju4/im4D3W4LPfuPotmazNQ7Qggh6skpfRP85Cc/Cf978eLFpxyMOIN488EKYGk2TKWwNBtYAfAebejIhBBCNLBTSk6On9Ds/vvvL7dv1KhRp3Jo0ZwF/ahSNwEL/KaFP2jhNy0CFqjSQjBl1WIhhDiTnVJyomk/zvh5YteV0zH3yemSnZ1N7969T3qItCjP9HtRVmjdHdCO/RxpBJWOskxMn7ehQxRCCNGATik5OXz4MO+88w579uwpl6gAFV43ZTIJW92xLEWRacNEx6aVX0rAplmY6BSZNixL+mkLIcSZ6pSmr582bRr//e9/mTVrFt988w3Dhg2je/fudO/enR9++KGuYhTNyK68YkotA5vuIsb0AtqxhwIsSlQ0pZbBrrxi+nVFJmgTQogz0CklJ3fddVe513v27GHz5s1s3ryZc88995QCE81TgTLwGQ5slsIV8KNjYmGgY2Fio1SPwmc4KFAG5ObA+/fA2MchtX9Dhy6EEOI0qVVysmXLFpxOJ127dq10f6dOnejUqRPjxo2rk+BE85OY3oH7LsoiwbA411rHhJK38aPhIMDbUeNZqQ+i0NSZ1aEtrLgD8rbCisfhmoVgNJl1KoUQQpyCWvU5mTZtGs8++2y5be+99x433ngjd911F99++21dxtZoSIfYutMnNZ6kzmnscLTg/VaXsSe5K8nxhexJ7sb7rS5lh6MFSZ3T6HP0A8jdANEtQs9bFjV06EIIIU6TWs0Q26ZNG9566y1GjBgBwLZt28jIyCAlJQWfz4emaeTk5JDaTKcdlxli68aqXUe4f9Emin0mg5x7mVI6jzmuW/jCl0as02D22FSGrLwZPIchtjUUH4KYFLjpbYhp2dDhCyGEOAn1NkNsYWEhHTp0CL/+xz/+QefOnfnuu+/4/vvvycjI4LHHHju5qMUZY3jXlsy8sh+92sbxVTCdydpDfBVMp1fbOGZe2Y8hB1+FooOhtXYg9Fx0AFY/W/2BhRBCNAu1uonfvn17Dhw4QFpaGgDLly/n6quvxjAMDMPgvvvu49e//nW9BCqal+FdW3JO5xZsyXWT7/WTHO2gT2o8+oEvYfNb4Ij5cZSOboReb34Teo+D1LMbNnghhBD1qlYtJ6NHj+bJJ58E4LvvvmPDhg2MGTMmvL9Lly7s27evbiMUzZaua/Rrn8DI7q3o1z4BXdfg66XgK0I54/EGTIp8QbwBE+WMB18R7FzS0GELIYSoZ7VqOfm///s/zj77bDp37kxpaSkdOnQoN2T40KFDxMbG1nmQ4gzSPZPSdQspOJzHUSsapUKLFifpXhJd0bi6XxwqJ/OfCCFEs1WrlpN27dqxbt06rrzySsaOHcvbb79dbibYDz/8kO7du9d5kOLMscrbgTd9Q7GZXmwo7IaGHYXN9PKG7xxWeduH5j+Zf0noWQghRLNT64kj0tPT+fOf/1zpvq1bt/LTn/70lINqbLKzs8nOzsY0zYYOpVmzLMXcFbs5oC7hHCOHJKuAoySRSCEFRkteUpfQ7uOdDIuegybznwghRLMV8VDivXv3hjvCRmL//v20a9fupANrjGQocf3a9H0h981desIEbQ4c+Hk76qes1AeREVjHXUn/we6MhmAJXPRHOOvqhg5dCCFEDWrzHRrxn5yDBw/miiuu4Oabb65yMrLCwkJef/11/vKXv3Drrbfym9/8pnaRizNawXf7uHNZNlFWAA04rKJxKD+FWjQZ2ir6s5JEvRB/JtgTEqC4FFbNgS4XyPwnQgjRjEScnGzdupVHH32Uiy66CJfLxcCBA0lNTcXlcnH06FG2bt3Kli1bGDBgALNnz+aSSy6pz7hFM5SomRSYfoKGDcuwU6h0klQ+hVoSfs1BYvAH9KBJ0JYYesPx85+MfrBBYxdCCFF3ajVDLEBJSQn/+9//+PTTT/nuu+8oKSmhZcuWnH322WRmZtK3b9/6irXByW2d+lWyazcbb5iIW7ODw0moq7UCNJyqlBT/QbQgpF/dAlfysby6tBCUBde8JPOfCCFEI1Yvt3XK5OXl4XA4uOGGGxgyZMhJBynEiXRdI9Zpozig4TMtbLqGpmkopXBZHgwslG5HO/5Nzngo3Bea/0SSEyGEaBZqNZT4X//6F927d+fyyy9n2LBhDBo0iMOHD9dXbOIM5LQbtI53EmU3sJQiaFpYSuG3xaLpBhoWpUHrx8nZfG5wxkH3i0NznwghhGjyapWcPPzww9xwww1s376dpUuXAnDvvffWS2CNiaxKfHpFO2x0bBlDeosY2idHk94ihtRWLQjaY1GWxYGjHvbll7DvSDGFhQXsa3esf5PMfSKEEM1CrfqcOBwOdu7cSceOHQHYvn07AwcOxOPx1Fd8jYr0Oalfvm++Ye/Nt6BHR6M7neX2FfuCHDlylDb+PBIv8FOcmEiidZQjKp4Hon7PvBav0OLwWuh4rsx9IoQQjVC9rUocDAaJjo4Ov+7ZsyeWZXHw4MGTi1SISii/H8vnCz9Mn4/8o0WooIVXi0ZHEaM86CjejfkpvX0b0XK/REW3gNwNsGVRQ5+CEEKIU1Cr5ATgpZdeYtWqVRQXFwNgs9nwer11Hpg48+guF7rLhQoGsbze8MPvLkYvLcGJRZEjnm+dHUlQhXxt685X9gwm8l8ClqLEiAW00NwnniMNfTpCCCFOUq3avs877zz++Mc/UlRUhK7rdOrUidLSUl588UVGjx7NoEGDiIuLq69YRTNnT00l7YV5WKWl5bav+zafP72/neQYB6bDSYuoo9zi+RuvRl/P+NL/0FLlc4gkoi0lc58IIUQzUOt5TgC+/vpr1q9fz4YNG8KPgoICdF2nW7dubNu2rT5ibXDS56RhbPq+kF8t/IIYpw2XPbQSsa5MOpvfcE/RLIJKp4ho0ltEE203ZO4TIYRohOp1nhOAbt260a1bN6677rrwtj179vDFF1/w5ZdfnswhhahSn9R4uqTEsu1AEW3idTRNw9IMBvnXEaW87Fctcdg0TFPhxSTKGY8mc58IIUSTdVItJ2cqaTlpOKt2HeH+RZso9pkkRttxGjpp/p084HkMU2l4tBhAQ9MgSfeS6DJw3fhPSO3f0KELIYSgHkfrCNFQhndtycwr+9GrbRxeX5C8Yh9rSzvwrjWMGK0UuwZ2Q8OOwmZ6ecN3Dqu87Rs6bCGEECdBJoMQTcbwri05p3MLtuS6OeLx8ZcPvubN/PGMZjNJVgFHSSKRQgqMlrykLqHtit2c07kFuq7VfHAhhBCNhrScREBmiG08dF2jX/sEWsY4yXOXosW04p2oK9GOzX2ioXgnagLEtGR3XjFbct0NHbIQQohakuQkAllZWWzdupV169Y1dCjimHyvn4CpcBg6nzp+wte2buG5Tz51nIfT0AlYinyvv6FDFUIIUUuSnIgmKTnagd3Q8JsWlmbwavQNfGt05NXo67E0A59pYdc1kqMdDR2qEEKIWpI+J6JJOnF48W5bV+6Pf4z44gJaBnI5Uuynb6sYupYewffND+H36S4X9tTUBoxcCCFETSQ5EU2SrmvcPrIL9y/axEG3j8RoO629R5n87l+wBXxoaCRG2/l+sVH+fS4XaS/MkwRFCCEaMbmtI5qswdF+HhsUz7mOIuLzvse1/1ucPi92XSchPgpXTFRoheNjD81mwyotrTA9vhBCiMZFWk5EkxTIzWXvzbfQorSULKUImAorEED3FaMFdCh149c0gm3bY3M6wtPeq2CwgSMXQghRE0lORJNU1gKi2WxoDgdOQPn9BIoKUZqGaSmUsjhU4CVoC+C0GbRygquhAxdCCFEjSU5Ek6Y5HOhOJwAWoICAFdqnA4auY2kaJQGTQ74gbexWQ4UqhBAiQtLnRDQbCjAtBUoBoVlhNQ10TcNu6NiVD8N7GOvQ1gaNUwghRPUkORHNhj9oogA0jRMnrNdQJOPGUAE8K58HU/qeCCFEYyXJiWg2glZogW1NHWs9UQrDDGALBogPFOIw/VjoOPO3wZZFDRytEEKIqkhyIpoNm2GgNA0NdewBjoAfV6CEeL8bLFA2Hd2uw6o54DnS0CELIYSohHSIFU2a8vsp6+LqMDR+iEsmELRwKgtDmbx5wc85z76SroFVHFHxOFw2ottGQ9EBWP0sjH6wQeMXQghRkSQnEcjOziY7OxvTNBs6lDNWIDe33ORpwbw8NF3HKimBkpJQPxObjSS7RkHAwkLhd0ThjPczhC8ocTnRdRutE6PQdAMcMbD5Teg9DlLPbsAzE0IIcSJNKaUaOoimwu12k5CQQGFhIfHx8Q0dzhmjbMK1CjO7msFjI3NAc7po+8gfsKWk8OV3R3l13V52FQYZ51zGtdb/yLe1JiXeRazzWD6uFBTug6G/gvPvPc1nJIQQZ57afIdKy4lo9E6ccO1Eyu9HBYPYUlJwdu7MOZ1hyMgBbMl14/++JVErV9HJbqI5j/tx97nBGQfdLz6NZyKEECISkpyIJuP4CdeOZ1FxWnpd1+jXPgHaXwDFV6O+fBmvFoWvSKEHLZx+D1qvy6E0Hr755sf3yarFQgjR4CQ5Ec3e2jbXkeL/D468gxSsiMIImliaHWvFWhx//7JcWd3lov3zz7OTWPK9fpKjHfRJjUfXT5w5RQghRH2R5EQ0a6t2HeH+93M517yEO6x/ogct0OGoEYc3aKN1tINoR+i/gfL7KSnycM8ra1lrxhMwFXZDo0tKLLeP7MLwri0b+GyEEOLMIPOciGbLshTPfbyTYl+QrxJGsddIR8fCbzjxOBLx6TYO+0BzOtGdTkrQKfAG2H3YQ4zTRkqckxinjW0Hirh/0SZW7ZJ5UYQQ4nSQ5EQ0W7u/+ozf7r+Lwc59KN3G/1yXEdRsuLUEQMOma/iCJqWB0LT3+R4/CkXLWAcuu4Gua7jsBm3inRT7TOau2I1lyeA2IYSob5KciCZD+f1YPl+Fh/L7KxY2gySte4rOai8/97+Krkz22tIo0JLwaw4UxxYKVOD1mZT4TQKmha5paFr5/iWappEYbWd3XjFbct2n5VyFEOJMJn1ORKOnu1zoLhdWaWmFUTknlgnb8jYJRzdxkHi6Bb/mPP+nbKUHAKZS+IMW1rE5Ug4VlWI3dKqb8cdp6BRainxvJYmQEEKIOiXJiWj07KmppL0wr+IkbMcpNwTYcwRWzcFm6ATssTgCP3BFydvstaZgAUHTwjJCmYiugU3X8ActDEthKYWiYpbiMy3sukZydMV5VoQQQtQtSU5Ek1CruUdWZ0PRQbTY1qTYFQeOJpBkHuEnJUsxLYVNC6IAjVBiYpoKQ4HNCmJa8H1+CcHoYHg2WaUUBd4AvdrG0SdVZgYWQoj6JsmJaF72b4DNb4XWztENYp3QNimG4sJShlpfsNtohT1o4VB+HFqQOLOYQhVDQLODglLDTqFlkJ/vpV1SFHYjNIIn1mlw+8guMt+JEEKcBpKciObl66XgK4KEDuFNsU4bMa1S8OnfsfT8LnzgvJQoQzHRPZdufM9h1ZKZahImGsXYcMe1wDItcgtKaBXrpFfbOJnnRAghTiNJTkTz0j0Tcl4JrZ3jSghv1nxuNFccnyaex5Gotlzg/5ie7KWYWHqxl7PUbv5rjcBSirTEKHymhdcXZHpmTy7vnyotJkIIcRrJUGLRvKSeDX1/Cn4PWCYBt4nviB9fngfV+mIS7a1Iyd3GTw+/TaBQo8gTjUJjkvZfEqxCnDaDKKdBgsuOYegkxzokMRFCiNNMWk5E8zMsC3Z9QODQYfYusWH5g6A54LMvuNn8gqD3KKhS3LjQDT/5I+NIiTnKJON9Xo+bhIZGqWnK6BwhhGgg0nIimp+YljB8ClZQYflNNB30hBbosXFExdiItfvBroV++k2FGQQvLi63rSbD2BMendMlJVZG5wghRAM4o5KTgoICBg0aRP/+/enbty/z5s1r6JBEfekzAVJ6g7LQnC70hFboTie6VYphWDicdmw2HQ0NXdco1WOIoYSzS9dw0O0Ljc45r6Pc0hFCiAZwRiUncXFxfPLJJ+Tk5LBmzRpmzpzJDz/80NBhifpg2GDwzWDYQy0pHEsyXPGgG6BMDF3D0DWcNoNo5aVYufjIGkCvtnH85Scawz/9OeTmNORZCCHEGemM6nNiGAbR0dEA+Hw+lFKo6uYsF01bSi+ISQFb1I/b7NHgSoSSfEBD06B9ghPDVkhu56v57bBr6dMmGv2Nn0PeVljxOFyzMJTsCCGEOC0aVcvJJ598wrhx40hNTUXTNN55550KZbKzs+nYsSMul4uhQ4eydu3aWtVRUFBARkYG7du3Z/r06bRsKXNXNGtaJbdlYlNAt4NlhoqUHsWe0I70S35Hv/YJ6FsXQe4GiG4Ret6y6DQHLYQQZ7ZGlZx4PB4yMjLIzs6udP9rr73GtGnTmDFjBhs2bCAjI4PMzEzy8vLCZcr6k5z4yM3NBSAxMZGNGzeyZ88eXnnlFQ4dOnRazk00IrotlKAAKAtQMHxK6PbPsXV5QDs2T4oWel0kPydCCHG6NKq26rFjxzJ27Ngq9z/55JPccsstTJo0CYDnnnuO9957j7///e/ce++9AOTk5ERUV+vWrcnIyODTTz/lqquuqrSMz+fD5/OFX7vd7gjPRDQmyu/HOnGjHoXSnKBKQx1n+1wZ2n5sXR5iW4deR7eEwr3w/Plw/b8gtf/pC1wIIc5QjarlpDp+v5/169czevTo8DZd1xk9ejSrV6+O6BiHDh2iqKgIgMLCQj755BN69OhRZflZs2aRkJAQfnTo0KHKsqLx0V0udJcLFQxieb0nPEpQjnh0pwP93KxQn5IT1uUBULqOGShFFR2g6D/3YAUDDXxWQgjR/DWqlpPqHDlyBNM0ad26dbntrVu3Zvv27REd47vvvuPWW28Nd4SdMmUK/fr1q7L8fffdx7Rp08Kv3W63JChNiD01lbQX5mGVllZZRnc4sLdvH3pxwro8xb4g3sIjJJmh1jP9YA7PPfsE/S+5RdbZEUKIetRkkpO6MGTIkIhv+wA4nU6cTmf9BSTqnT01NfLCx63LU6zFcLCgmHZWPhpgYuDHyQX5r3Hv2724Z8K5kqAIIUQ9aTK3dVq2bIlhGBU6sB46dIg2bdo0UFSiWTm2Lo/yezjsLiHRKsBOEIBiYsnXW9CGfMaX/Ju5K3ZjWTIMXQgh6kOTSU4cDgcDBw5k+fLl4W2WZbF8+XKGDRtWr3VnZ2fTu3dvBg8eXK/1iEZgWBalrlYkBA8TTzEAQewU6EnY8RONl/HqY2wHN7IlVzpICyFEfWhUyUlxcTE5OTnhWy979uwhJyeHvXv3AjBt2jTmzZvHSy+9xLZt27j99tvxeDzh0Tv1JSsri61bt7Ju3bp6rUc0AjEt+bb7ZJz4MTABjQItEROdZOsoNkwScTMsuJZ8r7+hoxVCiGapUfU5+eKLL7jgggvCr8s6o06cOJEFCxZw7bXXcvjwYR588EEOHjxI//79Wbx4cYVOskKcimCvK9nx+Yv0V9vwY6NIiyVOFeOiFAsNHQtLt8uKxUIIUU80JfO3R8ztdpOQkEBhYSHx8bJabXNlWYoH//ZP7jj0e6Lxc0RrQao6iEEQDSjFzmF7e9J/sxg9rlVDhyuEEE1Cbb5DG9VtncZK+pycIY5NZ6/rGpdcdDG3R/2ZXFrRWh3CRhBQBDA4pKXQzihAXzO3YeMVQohmSpKTCEifkzNAbg7MvyS8CvHwri2Z/tOfsDn+PFz4UShAo8hIpnVSPI6oONj8JuR+2ZBRCyFEsyTJiRBmMLT6cNkqxGZo+PDwri2Z0L8Nmm5gQ6E5YmiV0ppYpw2c8ShfEYe++Dcrdh5m0/eFMrRYCCHqSKPqECtEg9jyNuRuIGAmY23dAEufJ5g0AMvng4K28ENL8LnRE1ti00K3fvy+QkoMB/dsSmXLVxuxGxpdUmK5fWQXmZxNCCFOkSQnEcjOziY7OxvTNBs6FFHXjq1CHCjW2LvExPJr8L9sgqXaj2WUDioetFKMKB9ogG6y5vyB7G/TgxRDx29abDtQxP2LNjHzyn6SoAghxCmQ2zoRkD4nzdixVYgtWxJWQKEZBppugrJA10MPwwaaBkqh2zQUJmZQZ23UaFx2A13XcNkN2sQ7KfaZMnusEEKcIklOxJmr3CrEof8KmqGh2XRAoWmEkhXDOJagAJqFpoNXi8ZjxJU7nKZpJEbb2Z1XLLPHCiHEKZDkRJy5ylYhdp4w3l4PJSco68dtmh56KJNSzYFPc1V6SKehE7CUzB4rhBCnQJITcebqngnOOPCd0MphWYAWSkaOp+mYuoOjxGNROZ9pYdc1mT1WCCFOgSQn4sx1bBVi/J5jCQmEW0zKWkoASyn8piJgwV6rJSWWHdNUeHzBcodTSlHgDdAlJZY+qTKDsBBCnCxJTiIgM8Q2Y8OyIK4NlB4NvbbMY/1LyicmKIUGGLqBzdBQQG5BKQcLSzFNi5KAyUG3j1inwe0ju6DrWpVVCiGEqJ4kJxGQ0TrNWExLGD6FshYTZYGyJQCgLItgwESzTELpCOjBAHowENoPHC728fXhYo56fPRqGyfDiIUQog7IPCfijBXIzcUqLYWo/gSjuqHxNcpyoIKAUijLQj9uRLACDL8fdB2/zU6iWYJRnIfDrhNr2ri9UzIDdTe+b0J9WHSXC3tqaoOcmxBCNGWSnIgzUiA3l7033xJKTgBMPwobOGNBN9ATEvBrBi92H4OelISmwfcek4P2OGyaRmywlN+s+xfOYABD11Ao9A919sY4QnOiEEpO0l6YJwmKEELUkiQn4oxklZZilZai2WxoDgcQDXEJhCYzAeX3Y5T62du6E0Up7VEKvsv3oGsauqbRzn0IpxkgoOsE7aGROT4U8U4XTpuB8vvCddR98CboRt0fVwghGgnpcyLOaJrDge50Hnu4wv/WHA7shkZacjRHvQECpoVSZakLoVWKFdgMRVs9D5vNwq/bCdoc6LqJ5jlI0F/Kum/z63ZRwBNWTxZCiOZIkpMIyGidM5Smcd3gNGKdBoUloU6wFgpLKUxLAYoWmhsnPpKtfDQNbBoECw+ggiWY3kKe+N9WfrXwCybOX8uqXUdOLZ4qVk8WQojmRpKTCMhonTPX2elJzLyyH33bxaNrGoGgwrQsHDaDGN2PEz8mBk7lI1n3opUWQMBLUBnYCTDG+RUxTlt4UcBTSlCOrZ5MdIvQ85ZFdXaeQgjRmEhyIkQNhndtyT8mD+XBcb1JiXcS67LTKcZHjCoBIKhC/42S1VE0Tx5KgTo2T8pFvg+INwuJcegUlAR49uOTXBTw2OrJoKFcCfhNKProSbZ+/Y0sMiiEaHYkOREiArqu8bNz0nnqmv70a5fAqJIP0DExjyUmJga66ceu/AQxAIWFTpx5lFHuN9lfUEpxaYB13+bzytq9tQ/g2OrJxbZE9hzxsMcbhe/oftb+6491c8tICCEaEUlOxBlN+f1YPl+Fh/JXvnDf8K4teSnTztiozWiaDhZgKjRLoUyFMkE79qwAr3IyTl9NhrEHXdPwmxZzln9du2Ti2OrJJZqL/YV+SgMmmm7g16PJVCtRuTmnfstICCEaEUlOxBlJd7nQXS5UMIjl9VZ4qGAwXKbCe3ctxal5sQwttAxPUEMLWKighgpq6EELLFCGhtcWRSwlnK9tQNM0bLqGL2gxd0Utbu98vRTlK+JAqQPTUtgNHU0DD9FEU8JYRw7FPrN2xxRCiEZM5jkRZyR7aippL8yrdh6SKmd47Z6J+uJlokYGKLWi0TRw4CfFOoRSsF+1IogdDI2EmBKKieIjayBBSxFl12kR62B3XjFbct30a59Qc7DdM/F/8TL2kmKCemx4cwxeSrQo1jmGkmi31+6YQgjRiElyEoHs7Gyys7MxTbOhQxF16KRnbk09m4NplxJT/C8CejRK0zGVA80KNUQGLDugo2MRTSlvqgvYaHXE0DRaxblw2QzcpUHyvZXfOqqyvq3/wkc0Ch1dWUSpEpY6x7Db1hWnpSi0VOTHFEKIRkxu60RAhhKLE3nO/hU/aMkkqEIAElQhB/U2HNTb0lIvAqAFbg6pJBaYY3EZkBRjx9A0fH4flmWx6usjvPTZt2zcV1Dj7ZjK6vtBb8F/oq4AwGda2HWN5GhH/Z20EEKcJpKcCHESenbpxIdJ16CURYzyYCeAoQL81xwCShGPB02Dv1uX0Vb7gZe0GbTx7CA6fxOz3PfR1ruTeSu/4eF3t3DN31ZzefbKaju0Hl9folVAgipklWM4bj0BpRQF3gBdUmLpkxp/Gq+CEELUD7mtI0Q1wisXA8G8PCyfD/OHfKyAn8G0ZM+3bens2EcxdqL0Qs5ybmerLY2BsTv53OrNu8FBzA08TSdrP3dZr6KAzvp+7rJe51FrIgqdEt3OFtPirtdzeOqa/gzv2rJC3QBn9x3N7v8tIcPaih+d7r4t+Gx+8kssYp0Gt4/sgq5rlZ2GEEI0KZpSSrr3R8jtdpOQkEBhYSHx8fIXanN3/MrFKhjEzM8Hywo9jlGULUIc+m+kORVF9hicF9p4yPELehXt4OefLcYyNQxC7zPR0VEUqhhKNBc+w86Dw2/hh9hkhnZqwT8mD8E8eKD8qsnHmN4CDH8RFhqaDRaNGsfmrldz+8gu4aRGCCEao9p8h0rLiRBVKLdysc2GCaDr5ZKT8u0UGuiKWLOUvxp3st+K5xHto9CcJ7qGrofeVzZJWywleCwXTjNAtApyRCl2HCxiS66b7v4TV00GrCB6qQ8cOlgGmCa3Ra0k7pp70OMkMRFCNB/S50SIGmgORyhB0LSKD0DT1bHXoHQdHZMLAx/xC/1/JFOIhY6hm+gG6AbYDBPTMLAbJnF6aAp8TQOlwG9a5UbclFs1OVCIrgfRHTZ0mwa6gcv3A/qauQ1yXYQQor5Iy4kQp6x8+4lC4zxzDegWJTjRAAOLsvunBhYmChOdWErwY0cdy28chh4acXPiiOCAF0oLQNOP1XfsaPYo2Pwm9B4HqWfX61kKIcTpIi0nQpw0RThJOO5fCp1ovCTgoVi50LHKvSuUrJhYx+ZCceHDtBSaptGjTVzlI25K3WCZoBnltztiwVcEO5fU6ZkJIURDkuREiJOmEW410Y61ZyjQsPBq0RRpscRQinXsv1lZ+4ri2EKBWFholCoHCmgR4+DX51cx4sYVH7onpE6YCNBfDM446H5x/ZyiEEI0AElOIpCdnU3v3r0ZPHhwQ4ciGqUfW09CXU8UHzKE9/XziTNC92eOT1BMdBSh0TtFRBPQ7HRNieHJ44YRV2CPBlciKKtcfQRKoO9VkNq/Xs5MCCEagvQ5iUBWVhZZWVnhYVDizBJeobhs1P0Jo++VKusDomFTCqXb6Dz6ZuK7dibuje0U6EcBO5blA8Aw7OiWiYUNmzOBVi6N7BsGElVJYqL8/h9vCtkTwOOGYBCljrWixLSCYb+uj9MWQogGIy0nQlSh3MrFZfONWFYlJbVw9xOlwEhowcCM3vTu1hnjnEnottD7VNBABQ0sv4UKgmaLJ9Zu4IyNxhYdVXXdZasll/qx9FisICjTQreBfs4kiJFhxEKI5kUmYasFmYTtzFPdDLEAut2BkZgAK59AP7IFW7cB6Ff8FXuHDqEDmEEC867F+nYdKnUAxaVBoo9sxNvqbGIufwLdZkN3uTDatGVLrpt8r5/kaAd9UuMxDx6ouGqyGYTF98D+9egdB2O/5TUwpAFUCNH4ySRsQtSR41cudnbuXHXBnsnw/j0wdgakdvhxu2HDPv73uBdNY7Z+Fd8Xebkz+jBP+y/D/PQot4/sAl6YO38tu/OKCZgKu6HRJSX22KyvlaycHDPjWF2/l8RECNEsSctJLUjLiSjHMkMjaKp6fWzbqm+O8n9v51DsC5IQE4VLV5RaGoWeUjQjVF6ZoX0OQ8dvWhz1Boh1Gsy8sh/DOyeFjnv88auoq8I2IYRoJGrzHSp9ToQ4Gbk5MP+S0HOZExOD3BzU/Ev437LFtPXtZr72MH20PWDY6KPtYT4P0cazgzaeHeF9uq7hshu0iXdS7DP537LFqPmXwFevl6+vkroqxCOEEE2UJCdC1JYZhBWPQ97W0LMZrLKMdXALmXnz+TVv0NH8luu8/8Jm+bnO+wrp5rdM0d9kiv4m6cHQPv3YPCaappEcpTPm8AKsg5th6QNwaEvl9UUSjxBCNCGSnAhRW1vehtwNEN0i9LxlUZVlfM4kMtQ2zjK3Uqgl0C24k5u9L9At+DUFWjyD9e0M1rdToMXTLbiT8/yfhg9xkbmSntYugroTPEfA7qq8vkjiEUKIJkSSEyFqw3MEVs0BNHAlhJ5XzQltr6SM5oghilJclFKKC5RilG8ZoCgliih8ROOjVItCoXFFydvEW4XEW4VcUboIHbAHPQAoXzH+oEXRR0+yeeduNu4rYNVX2ylZ8TSquniEEKKJkeREiNpYnQ1FByH62Nwi0S2h6ACsfrbSMi7fD2goNBSJ1lF0LBwE0JQiWR1FOzZBSrIqoFBLoIX1A+NL3uHykrdJtn7Apik0FcTU7JhBP0UlPnxH9/Ppy3/g6udWs/XtWXh/+J5vS6Ip9gUrj0cIIZoYGYcoRKT2b4DNb4Ej5scOqboRel22MrBSP5YxfWilBei6jaBlEUcREJq+vuzflqajAbGqiCIthhItilGlH2ABJjaSNDcKnYAFGhpxeDhixXMpn7GLtmSqz/BqUZQEYX9BCe0So4g9Ph5ZqVgI0QRJy4kQkfp6aWgFYOcJQ+Cc8T+uDHx8mWMrCeu6gaEbGFgYWASPrUZsYGHTDQzDhoFFtOWhwIoihmISNA8JLh1NWQQsDYVCoaOr0PvitBKuMVYQQwluFYXd0DAtyCvyoY6PRwghmiBJToSIVPfM0ArAPnf57T73jysDH1/muJWEDU2h6QboBg5NoWkGmm5gaAoDC92wEZfYgo6xQYzoJByxyTgddpSmo2GioaFjYaJjaTrFRPOmuhAPUcQoL5YCQ9fwBS38ngJZqVgI0aRJchIBWZVYAKFbJH1/Cn5PaMIzCD37PT+uDHx8GcMJUUmhMpaFFpWM7krCUCZ6dBJaVHJorR7LRItKwuWMIlqV4hjwM7SM60NT39vjj/VLsdBRuInGhsl7ajjvch7vqeHEaKVoykTXQFMWWsAjKxULIZo0SU4ikJWVxdatW1m3bl1DhyIa2rAsiGsD3mOjYbxHIK5t+ZWBjy8T0wo0DTQgJiX0b5sTNP3Ya0LbYlqhvEcocaWwKuUatqbfhIprg64bBDGwEySIgaU08lQS881LsJRivnUJeSqJJNxYCpIoxOtsxaqUa9j0fSGWpbAsxabvC1mx83B4mxBCNGbSIVaI2ohpCcOnwLLfQ2khoEKvj18Z+Pgyfk+ocyxAwAO6Dv1/BjveDb0+tq/E46bE6+cvJaP533++x25oTLBfxKTS+VjKRTIBipQLpen8LXAph6xYwOIQccx3XMZ9vEKUVYSG4qnizGPH2E+LWAcAPxT7K1m3R1YzFkI0TpKcCFFbfSaEJjr7diV0PBf6XFlpmcCq17C+XQepAwAFuV9Cu4HQ7WaCX+2A7zZh63o2Bd4gjtwctmhdOUIbzlM7KAhqvGulMsDoQH9jF3lWAg7Nz0a9M+/ZzylX1WeF3dmsd6Avu9isdeWIFjqGxxck3xsgoNto2yqFOJeNgF/h/2o3f/nmG/TR3Tk7PalC6LrLVW7Bw6bo+NWkK3M6z7ExxVLX6vLcmvN1aioa02cgyYkQtWXYYOQ94M0PPVeyMnDgUB573y7AKoiHqB9CG0viIeoIvHkbwSM/gIrGWH+YQr9JtJmACy+3l2aDUijgqCMOm25yQEvEg4sYSrHpAZKHuzkcHUoqWpcc5aHP/o7dLOGglkg0Jdxe8ky5WBRQ6IpDMwwMZRFTUoTbGQvLbOyNcYRuKx1Hd7lIe2Fek/0iCOTmsvfmW2r8JXs6zrExxVLX6vLcmvN1aioa22cgyYkQJyO1P0z6X5WrAFulpVhB0BJT0RzO0Ma40Ayuyu8PvdYMgs5oCk0TtxGDXQVxlXiBUELht9nwGi7cKgYFFKlobJZFjApwVNdoE++knWEQrQJ4dSdeeywOy8SllYSmdlOhI2lAqWZDszlwBX1oSqF0nWLdTrzThdP24zkovz8UezW/oBq7svg1mw3N4aiw/3SeY2OKpa7V5bk15+vUVDS2z0CSEyFOVhWJyfE0hxPd6Sy3zYJwa0XQZsev69gMHd3UQNOw0NCUImjYCBj2Y0kGaBbYLD/GsffaDJ0Ypw0NjYBuQzMcGFpo0T+l6VgaaCo0O23QsIHNjl2F9puGDb9uJ2hzEOW0lYtNBZvHwoGaw1Hh2kPDnGNjiqWu1eW5Nefr1FQ0ls9ARusI0YBsuoamgVKRj6BRHBv0o+vh18c/V6XczRtVdgytquJCCNFgJDkRogE5bAZOm0HwxOG9Wui2jFKgaxq6RrgFxVQKp03HZddRSqGUwtA1rGN9VSpQoGka2nF9S0LHMHDZa279EUKI002SEyEaWHyUHU2DgGlVul/XQrdwIJSgaECLGCelQYvDRX40DWIdNnQNgtaPxzi+TcQ41kJSluDomkarOCfSbiKEaIykz4kQDUQpxf6jXrwYoYlirWO3Zk64xRO0FFgK57EWlFinjUMBE8sXoLVSKAUefxDLsGNw3DE0DV3Tjs0wC0HTwnHs0C1i7cQ65b+/EKJxkt9OQtQj5fdzYnuI8vtRloWlwPT5cdjsaJqGoZmgQqNrNCAaC1MzQ+UshVMFSY5xMGvCWaz0x/KP1d9i6BqGruFUFroVRDODaEqh6xq6fqz1RGmkRhsEbQa2UgPNq2FDYfl8lcbbXFR27cu2n8mx1LW6PLfmfJ2aisbyGUhyIkQ90F0udJcLq7S0Yg/3YBCL0ErDUVYAFQz9KtCVFU5MFOAw/SgVWsNHAZZSHDXtDOrQgtlL9xMwLRISYwnYnTgCPmxWEC285o+FVnbTRtOwm37sWKBZBHUdZZpYXm+1sTdV1V77E8qcSbHUtbo8t+Z8nZqKxvYZaKo2wwTOcG63m4SEBAoLC4mPj2/ocEQjV9VsizsPFvHkvz7D5TDwJSSHt/sCFt6DB3GYAfy6nei2bXDaf+wW5gtaFJo6v/zpcP60ZDsxThsuu0Fi0Q/Ygz/+VeMszMcsLWXKhd3o2DIG3enElpIS3m8WFmIkJFQZd3OYibMxzXTZmGKpazJDbPNS359Bbb5DpeVEiHpS1X/i/OBhNrfuTkqcE/24obxFpQG+N+MwdDAtaB8fRZzLHt5vWYq8Yh/7C7wETIXjWCfZgrgW5Y5vJbQhr9hHfr8M+nVvVQ9n1vg1pi+xxhRLXavLc2vO16mpaEyfgYzWEeI0S452YDc0/KaFfuy2DYTmLTE0C5QVnsekbL+uTHymhV3XaJcYHX5/ZcrKJUefMMtj+JbPCc9VlTl+f3VlqxNJmdqUi1RtjncydVd3DU/Gide7KWmqcYvKNZLPU5ITIU6zPqnxdEmJJcWzg5nue+kS3BXarn3DItv9vG3cT4bxLX30b5jpvpeRvo+Y6b6X1p4ddEmJZdxZbemSEstRb6DC5G1KKQq8AbqkxNIn9bhm09wcmH8JfPV6+efcnMrL/G1k6JGb8+P2ysoev+1EkZSpTblI1eZ4J1P3idfyVOPOzSl/vZuSuv7sRMNqRJ+nJCdCnGa6rnH7eenczhukBb/las8r6EEf13j+STdtH921fdyhv8E1xf+kY/BbJnleIC24h9t5g9vPS8dm07l9ZBdinQYH3T5KAiaWpSgJmBx0+4h1Gtw+ssuPt4zMIKx4HPK2wNIH4ODm0HPeltB2M1i+zJIHIG8rHN4GH82Ejx8Lva5Q9rhtJ4qkTG3KRao2xzuZusvec2hLxWt4svF+/FjoWh/eBh/POvVrcLrU9WcnGlYj+zwlORGiAQwv/YTBjm/xGAl0D+7kZ+7n6WduQSc06do52hb6mVspxU6iKsTUnAx2fMvw0k9D7+/akj9e0Zf2SVEc9fjJLSzB4wvSPimKawenEeeyY5XNOrvlbcjdgLK5UMVHCCiwio/gtex4vl3Hd5++jLX5LdT+DQQ0J8pzGKUslLIwv/mEwJ7P8DmSUPs3wJZFWJvfIrBvPV57IoF967E2vx0+L8tSbPq+kG0fLCCwbz0qugXkht5XqWOxUVO5SNXmeCdTd9l7bC7wHAk9n0rcW96GvatAWaG5afauPvVrcLrU9WcnGlYj+zzPyNE6Xq+XXr16cfXVV/PEE09E/D4ZrSPqhOcILLwSPIdRsa0JFORi+ArQjvU10QBlBVGagdJsaCqAZjjRnHEQ1xZueptVB2Duit3sOlREScDCtCyUpuHQNQxdx25odEmJZcrQRIasvBl/4QFUqRub8qGp0FrFfuy4VTRHicNu6CTiJkZ5cBAa+WOiYaAwMfhW60CyVoSKSsLrN3EGCvmBJFpwFK89mcOXv0LQ1YK5K3bzw6H9POn/A0kU4rG3oJ3NjTOhDdz0NsS0rPQ6ENsaig9BTErFcidxXWs83snUXfaeooPgKwLTB4YTXPEQW8n5RRLvS+PgyE5+HEAOtOwBE/9zctfgdKnrz040rNP0edbmO/SMbDl59NFHOeeccxo6DHGmWp0d+oKLbokGODSFYfnRlYmmhwbQaYQ6wRqWH113oFmB0F/WRQfY978nuH/RJrYdcBPrspMQZac0aOEpDeIuDRLtNIhx2th2oIid7zyG94fvKSrxo6sglgrNfmIBNkx0zaKDdog21kEsy8RO4NjEbaArhabAwCSZQvKsOKKK99IykItbS8RuaBRpicQFDrPl7ce46/Ucth1wcxPv0lo7iltLpDRgsbc0Gn/Bflj9bJXXAQg9Fx2oWO4krmuNxzuZusveoxRYAdAdoWdlnVzcq7Ph6LfHFlCyhR4KyN9z8tfgdKnrz040rEb4eZ5xycnXX3/N9u3bGTt2bEOHIs5E+zfA5rfAEQO6AX4vlB49tlOFvujK9ZZXoCnQdPAVonQbzu2LaF+6gzbxLpw2nR88PiwFDluoj8kPxX6cdp1zo/dyQXAl7gDE4UEpMAgtDlj2nIAHJ0GcBEikGO3YdPgQ+uWgjoUQr9zEKQ8OgthVAKceCEWn6/j1aEabn9LWs50RUaE6S7QoONaCE1A6+QE7avObkPtl5dcBQs+OGDi+3Mle1+qOdzJ1l71Ht4GvMPR56FroubQwtL02ce/fABtfAdMfqlsjtEy0roPlh5x/1v4anC51/dmJhtVIP89GlZx88sknjBs3jtTUVDRN45133qlQJjs7m44dO+JyuRg6dChr166tVR2/+93vmDVrVh1FLEQtfb00dEvAeaxJ0+c+YchuEE5cW9gyQ1+ClkkgGMRherjIloOmaZQGLHxBC5uuoWs6hq7hC5qU+i0GB74ghhI0ZaIfm5C67OZB2Uy0BhY6Cg0LA+vY/vLLAZaVS6To2PsU0ZYnvL9IRRNDCRdoGxjgW0eU8uIhOrzf0DWOmlGYJW7YuaTy61DGGR/aXlbuZK9rdcc7mbrL3qPMHz8PAM34cRhwbeL+eimUFIYWVNKOWxla00MtKaWFtb8Gp0tdf3aiYTXSz7NRJScej4eMjAyys7Mr3f/aa68xbdo0ZsyYwYYNG8jIyCAzM5O8vLxwmf79+9O3b98Kj9zcXP7973//f3v3Hl1XWe57/PvOuS65p7lA2vQCEgyQAk0pDQeOQunpkFMVNt116NnugwX3wEEtHt0VFbZDUI+b/oNsxmB04xC3W2UocoqiZ3PEwZFTQLkIVIuUWrClSKA0JU2be9Zlzvf8MddaWUmTNklX1iX9fcbISNdc73zfJ89sMp81L++ktbWV1tbWKcUTi8Xo6+sb8yVyUlqvgmh1UJRAcL2Ck7VzckIw/lnBjhscUXFcPBwGKWdH5BIgeApx+knFEHz4tjZY/mJkJUOmHM8GJQiMFiY29RWULQaLg4eTen/c7cmpdkdsdWo9w0BW8VHJIAO2nP9nV/CMs4JhU0Elo1PjOwYqGSIRqoTW/zpxHtJifcHydLuZ5vV4/c1k7PQ6xh3dHhAUK44bbLfpxN16FZTPC46UZM11g/WDjVhWO/0c5Euut50UVpFuz6IqTtauXcu3vvUt1q1bN+H7d999NzfeeCM33HADbW1tfOc736GiooLvf//7mTY7d+5k165dx3w1Nzfz/PPP89Of/pQzzzyTW265hfvvv59vfvObk8azZcsWamtrM1+LFy/O+c8sp5jm5XD+eogPBp+2wxVQVpd6M3WaILtYwYA1wU4rWkuIJP/X+SB/NmcBwURtxowea0k9jJiQ47Av9H5+43yAsPHopxJDcJFr9vdeKokRIkaYo1SNOWriM1rI9FJNHxXECZEgTJxggjfH+lQwwqP2Ml617+ONcCtPRy6n3A5j0jtw36eSEfrPvhaa2yfOAwTf44Nw/sdG2800r8frbyZjp9fxkxCtTZ1+S52GK6sNrj2ZTtzNy2HZ34EbCca2pK5l8YNrWdr/fvo5yJdcbzsprCLdnkVVnBxPPB5nx44drFmzJrPMcRzWrFnDc889N6U+tmzZQmdnJ2+++SZ33XUXN954I7fffvuk7W+77TZ6e3szX52dnSf9c4hw6Saong9D3cFrY4K7Phw3dVonxYSC5X4cnDAYQ6i2mRfmfyIzAVtZ2CEackj6Ft/6wdOLQy5lEQdrLT+0H6Hb1ONjSOJisPgEv/hJXHzr8JZt4i17Or51SGQ90cJPHUPxcelz62gw/bxlm+ikiXp6Aai1vfQ4DfzQ/zDGQDRk+GX5Og47DcyzQZsae5S+cCONa75w/DwMdQd3I1362dzk9Xj9zWTs9DrGBNsjs12cmcV96SaoOzPoz08GXwaof9/Mc5Avud52UlhFuD1Lpjjp7u7G8zyamprGLG9qauLgwYOzMmY0GqWmpmbMl8hJq2yEyz4HpK4tcBxYfl1wAZpNfRoPV0C0Esqqg3WiVeA4mMv+B/999YrMBGwjSZ+GyiiOgXgyOH7SUBVhJOFzsC+GV97Au23/gDEOg6Ycg2HQlgMwYMuwxvCd5DV8J3k11hgGTQUYg8VgMIwQZdiUEfFHcIzlu/7f8APzN4Cl0g4Cln+3V2MqG6mvjNDVH6fLq+KR6LWAJeoN4BpIdGzCqT7t+HnABq9neuvidPqbydjpdRwHIlWj28WYmcVd2Qgf+MfUdveCbR+pDJYV++24ud52UlhFuD1LpjjJteuvv35ac5yI5NTSv4Xmi2DocPD9qn+GJZcGOzrjwPsuD14nR4I/EImRoN3SdVx2diN3rruA8xZUMxRLMpTwqCkLUVsR3FY8FPcYiiU5b0E1d667gNXrN2IWXkSFSdBjasH4dNsaoibBn/yzeNxcxq66/8KbkVaixOmhFt8YrDG8aM7nj+Y85tleOsvOZemaT3Fg0YfZbVqo9nvZbVp4u/kq7v54O//y8fZMTD+LX8Ju00Kj6cMsvIjW1Z+aWh6WTnxKd8Z5PV5/Mxk7vU56uyRHTi7upX8LSy4LtrkxwTY/2RzkS663nRRWkW3PknkqcWNjI67r0tXVNWZ5V1cX8+fPn9Wxt27dytatW/G84nggkswBbgiu+AoM9QTfw2Ww6jbofSd4f9VtwffHvgIr/wFe/LegnRv8yl52diP/6awGXj3QR89QnPqKCOfNr+bPB/szr5c212SmsG/48Newj32F7pa/I7zrR/x18cdZsv9BRs79Ej9deikXLKyFdxsY/t9f4tBZ/43K1/6NaNil+dJv0jeSwPzxn1l+zRZWLDyHT19u2fenr+M/czsL/vPX+fcLL82Mkx3TgqGvU77jf1Kx9muZuE+Yh8nazTSvx+tvJmNnrzPBdplRvKtuhd63g9erbjv5HORLrredFFaRbc+inSHWGMMjjzzCtddem1l2ySWX0NHRwb333guA7/ssWbKEm2++mVtvvXXWY9IMsZJzvjf2Atj0BWnpZen3x7c7mbGO12f2exPFcbzYjzfmVGPLlen0N5Oxc7ld0v1BbnOQL7nedlJYs7g9p7MPLapSd2BggL1792Ze79+/n507d1JfX8+SJUvYvHkzGzZs4OKLL6ajo4N77rmHwcFBbrjhhgJGLXISxv8RmOx1Lv5YjO9roj4ne+94bacyZq7aTdV0+pvJ2LncLrnspxBKOXY5VpFsz6IqTl566SWuvPLKzOvNmzcDsGHDBn7wgx/wiU98gvfee4/bb7+dgwcP0t7ezq9//etjLpIVERGR0lW0p3WKSfY1J6+//rpO68is8X2buWZjXnkYgJ6hOEcHE9RVhGmoio65lmT8OtnXnhweiHF4ME7fcALjGJYvnsfSBTVjrksZf53KZNetJJM+//Gnd3nn6BAL51Vw9YULCIWcSWMYH+Ns5SgXY+UzdpFT2XRO66g4mQZdcyKz6dm93dz31D72HRpgMOYxnPCwNpiXBGtxHENNWZi25ho2XtHCZWc3jlkn4aXmOrHBDnco7pH0g19vA4QcQyTsUBZycYzJtHWNSb22eNbiGnDM6JONl9SV8392HaR/OJGZI6W6PMymVS3ceHnLMTGk10vHOFs5ysVY+Yxd5FSn4mSWqDiR2fLs3m7+6ZFXGIgliYYc3uuPkfRShQkQctKzvxoqoy51FRH+/pIl/Pj3bzEQS1JXESGe9DnQO0zCO/6vtGOgsTrKkcE4Sc/iOoaGygiHB+N4viXkGppry4mEHA4cHWYwHlysGXYNjgkmRk2v94mLF/HMvsOZGCKuQ9zzOTKUoCrqcue6C3K2k8/OUS7GynV/InJ809mHnrLznIgUC9+33PfUPgZiSZqqo/QOJzJHPDJtLIRTp1GSnmUglmTrk/voH0mMezrx2Mf2mQnOTvgWuvuDtpFQMAts92AcCJ5s7Fs4PBgj4hqGE0FhYkgfYXEIOQ6RkCHpWx566W0GRpLMrymjLOziOIaysMv8migDMY/7ntqH75/855/sHOVirFz3JyK5peJkCrZu3UpbWxsrV64sdCgyB716oI99hwaoq4gQS1piSR/XGX38niE1cawNnvAb93wcY+gfTlARCY15OrFjxj22L+uhgNl8C06q2HAMeL4NZmU3DiHHEEv6vDcQJ3vfnN1v0A6SvsV1DWZcFWSMYV5FmH2HBnj1wMk/MDM7R7kYK9f9iUhuqTiZgk2bNrF7925efPHFQocic1DPUJyEZ4m4TuYpw9isYsCMPhcu/dRhsFiCAgMYs96U2XT3Jj1M5ru1EPf8MU3HnwBOt5/szHDUdUj4lp6h+DSCmlh2jnIxVq77E5HcUnEiUmD1FRHCbnBEJP2UYUzWEY/U0Y90YRLUI0FJ4acKg+z1psyku7fpYTLfjWHMjjs9frbMkZ2Jzh0BMc8n7BjqKyLTCGpi2TnKxVi57k9EckvFiUiBLW2uoeX0Ko4MJYiGDNGQE5xmSb2fLhZM6vRLxHXwraU69Ryd7KcTj7/mJH3UZbzgwtbg7h4/dbrIWvCtT9K3REMOp1VFyL6jNrvfoF1wB5Dn22OOnlhrOTqUoOX0KpY2n/zF49k5ysVYue5PRHJLxYlIgTmOYeMVLVRFXbr649SUhwmNm2fDMZBIBp/yQ66hKhpi06oWqstC455OPPaak4nOuKTv1nGMIZ4MipnGyuAIQTxpcQw0VEaJeZbycDBbpAW8VDGT9H3iSUsodbdOVTSIYTjh4fuW4YTHwb4YVVGXjVe05GTOkOwc5WKsXPcnIrmlW4mnQbcSy2waM89J3GM4Ps15TnyL709xnhPHZNq6xqReZ81z4jiEnWPnObGpviad58S3mfVmfZ6THIyVz9hFTnWa5yTHNEOs5ItmiJ1ejjRDrEjpUHEyS3TkREREZGY0CZuIiIiULBUnIiIiUlRUnIiIiEhRUXEiIiIiRUXFyRTo2ToiIiL5o7t1pkF364iIiMyM7tYRERGRkqXiRERERIqKihMREREpKipOREREpKioOBEREZGiouJEREREikqo0AGUguynEosUo4merAtM+rTddPv0k4t7h+N09cZomlfGskW17H9vkD92HmUwlqSxKkJzXQUrltRxXlM1//HKu/zhrR6G4z5Lm2uoLQ/TF0tiLNSUh2mojFBXGQHgyGA86H8kgYth2aJarIE/dfbiYamJhugbSXCwL8aC2jKWLazlje5BXu7spTzs0NJUxVDcw1pL33CCQ/0xhuMeDZVhjOPQVB1hX/cQsaTPkrpyFswr573+GAtqy2lprOTocIIjQwnmVYZprIxm8vLKO73sfOso1sDyxfO4YGHtcZ9E7PuWV97p5Y+dRzEWLlhYw/7DQ7zbOzzmKc3ZeR0/7kyedDxRf/UVQW6PDieYVx7Gt5aX3+7FWGhfcuKfRaQUaJ6TadA8J1KMnt3bzX1P7WPfoQESniXsGhqqgh3Y4YF4ZlnL6VVsvKIFgPue2sfuA330DidI+lP7E+AYsBZO1Nox4BoDJti5elkrpHeZ+fijY1KxADiOoaYsRPO8cgZiSQ4cHSHh+QCEHIdz5ldx29rzuOzsxmP6eXZvN1se+zOvHRwg6fvH5MA1UF0e5iPnz+etI8PsPtBH30gC37eZcduaa9l4RcuE/U8mvV2z+8OAg8FxDCHXEE/6JFMJNgbCrkNr0+Q/i0ghTWcfquJkGlScSLF5dm83//TIKwzEktRVRIi4DkeH47zbOwLAgtpy5pWHiXs+R4YSuKkTuSMJj4GR5JjCYa5yTLDjBvD9oLBwgJAbFFCeZ7HAadVR/uXj7WN26s/u7eYf/9dO3uuPZQqr8TlzndF+y0KGpA/WBoWJby2OMZSHQ9RXhrlz3QVTKhrS2/XIUJzBWHDkCAOpegrDsQVeyBktHif6WUQKTZOwiZwCfN9y31P7GIglmV9TRlnYxRjoHU6QOnAR/NuBsrBLU3WEnsE4PYNxEp7PFA+YlDzfBkc3PD9rh26CoymucQi7DsZAz2Ccf31yb3CEgiC///rkXnoG4xgTFDMTFXN+Vr8jSYvvW8Ihh5DjEHYcfAue79M/kuS+p/Zl+p803qztmj4qEnIN2R8jJ+rBt0E7Q/pnOfFYIsVKxYlIiXr1QB/7Dg1QVxHBpA4NjCR8YkmfkOMQch1iSY+RePBxO5a0WBvs/GIJm5dTK8Vi/D7aWjI7e2MMIcfBWthzsJ9XD/QBQX73HOzH2uDUz2T7+fGLHQdM6jhL0Lch7vmUR1z2HRrI9D+Z9HYtD7vEPR/XMcBocTL+apLMqTIbvAq5DtZaXsv6WURKjYoTkRLVMxRcTxJxR3+N09dEGIJTGdYGy9LvQfrQ/6lUmowtTtKnROy4ZQAJz9IzFAdS+U3a0XWmmLLxzdLrusaQ8Ef7n0x6u6a3X/r7iYZP/0zp9nHPP+FYIsVKxYlIiaqviBB2g0/laSEnOEWRvaMKOU7mPSB1yufUupsj++YVy2jxlr0MIOyazN0w9RURwiEzus4UUza+WXpdz1rCzmj/k0lv1+xCI32a7kTjZrePuM4JxxIpVipORErU0uYaWk6v4shQgvR17WVhh2jIIen7JD2faMilLBL8mkdDBpO61iIaPrXKk/F31pqsi2SttSR9H2Pg3PnVmduNlzbXcO78aowJjjpNdnfu+MXBNSg2q+/g6NZw3KPl9KpM/5NJb9fhhEfEdfB8C9jReMe1T78O3rckPR9jDOdk/SwipUbFiUiJchzDxitaqIq6HOyLMZzwsKm5RtKnAWrLw1gfhhMeXf1x6isj1FdGCLvOpDvbucYxwR02rpNVSNj0bc4+CS84FVZfGeGzq87OzBHiOIbPrjqb+spIcHrMs7gT5MzJ6rcsFNzmm0j6JH2fRKqocR2H6rIQG69oOeEcJKPbNRTcUUQwdvaRm4l6cEzQzgINlRE+u+rEY4kUK91KPA26lViK0Zh5Tvzg1MGYeU5SyzTPSe7nOUmPoXlORE5M85zkWPYMsa+//rqKEyk6miFWM8RqhlgpdipOZomOnIiIiMyMJmETERGRkqXiRERERIqKihMREREpKipOREREpKioOBEREZGiouJEREREioqKExERESkqKk5ERESkqKg4ERERkaKi4kRERESKSqjQAZSS9Ez/fX19BY5ERESktKT3nVN5ao6Kk2no7+8HYPHixQWOREREpDT19/dTW1t73DZ68N80+L7PgQMHWL16NS+99NIx769cuZIXX3xxWsv6+vpYvHgxnZ2deXuY4EQxzdb6U2l7vDaTvadcz6ytcp2b9ZVr5Vq5nvp76eXWWvr7+2lubsZxjn9ViY6cTIPjOCxatIhQKDThf0zXdY9ZPtVlNTU1efvPPtH4s7X+VNoer81k7ynXM2urXOdmfeVauVaup/5e9vITHTFJ0wWxM7Bp06YpL5/qsnw62fGns/5U2h6vjXKtXE+Vcp0/ynX+zNVcn4hO6xRYX18ftbW19Pb25q0SP1Up1/mjXOePcp0/ynX+6MhJgUWjUe644w6i0WihQ5nzlOv8Ua7zR7nOH+U6f3TkRERERIqKjpyIiIhIUVFxIiIiIkVFxYmIiIgUFRUnIiIiUlRUnIiIiEhRUXFS5B599FHOOecc3v/+9/O9732v0OHMaevWraOuro6PfexjhQ5lTuvs7GTVqlW0tbVx4YUXsm3btkKHNGcdPXqUiy++mPb2ds4//3zuv//+Qoc0pw0NDXHGGWdwyy23FDqUkqdbiYtYMpmkra2N7du3U1tby4oVK3j22WdpaGgodGhz0pNPPkl/fz8//OEPefjhhwsdzpz17rvv0tXVRXt7OwcPHmTFihW8/vrrVFZWFjq0OcfzPGKxGBUVFQwODnL++efz0ksv6W/ILPnqV7/K3r17Wbx4MXfddVehwylpOnJSxF544QWWLl3KwoULqaqqYu3atTz++OOFDmvOWrVqFdXV1YUOY85bsGAB7e3tAMyfP5/GxkZ6enoKG9Qc5bouFRUVAMRiMay1U3pcvUzfX/7yF/bs2cPatWsLHcqcoOJkFj399NNcffXVNDc3Y4zhF7/4xTFttm7dyplnnklZWRmXXHIJL7zwQua9AwcOsHDhwszrhQsX8s477+Qj9JJzsrmWqctlrnfs2IHneSxevHiWoy5Nucj10aNHWbZsGYsWLeJLX/oSjY2NeYq+dOQiz7fccgtbtmzJU8Rzn4qTWTQ4OMiyZcvYunXrhO8/9NBDbN68mTvuuIM//OEPLFu2jKuuuopDhw7lOdLSp1znT65y3dPTw6c+9Sm++93v5iPskpSLXM+bN4+XX36Z/fv385Of/ISurq58hV8yTjbPv/zlL2ltbaW1tTWfYc9tVvICsI888siYZR0dHXbTpk2Z157n2ebmZrtlyxZrrbXPPPOMvfbaazPvf/7zn7c//vGP8xJvKZtJrtO2b99u169fn48w54SZ5npkZMR+8IMftD/60Y/yFWrJO5n/12kbN26027Ztm80wS95M8nzrrbfaRYsW2TPOOMM2NDTYmpoa+41vfCOfYc85OnJSIPF4nB07drBmzZrMMsdxWLNmDc899xwAHR0d7Nq1i3feeYeBgQEee+wxrrrqqkKFXLKmkmvJjank2lrL9ddfz+rVq7nuuusKFWrJm0quu7q66O/vB6C3t5enn36ac845pyDxlqqp5HnLli10dnby5ptvctddd3HjjTdy++23FyrkOSFU6ABOVd3d3XieR1NT05jlTU1N7NmzB4BQKMS3v/1trrzySnzf58tf/rKusp+BqeQaYM2aNbz88ssMDg6yaNEitm3bxqWXXprvcEvaVHL9zDPP8NBDD3HhhRdmzu0/8MADXHDBBfkOt6RNJdd//etf+cxnPpO5EPZzn/uc8jxNU/37Ibml4qTIXXPNNVxzzTWFDuOU8Jvf/KbQIZwSPvCBD+D7fqHDOCV0dHSwc+fOQodxSrn++usLHcKcoNM6BdLY2IjrusdcnNbV1cX8+fMLFNXcpFznj3KdP8p1fijPhaHipEAikQgrVqzgiSeeyCzzfZ8nnnhCpxJyTLnOH+U6f5Tr/FCeC0OndWbRwMAAe/fuzbzev38/O3fupL6+niVLlrB582Y2bNjAxRdfTEdHB/fccw+Dg4PccMMNBYy6NCnX+aNc549ynR/KcxEq8N1Cc9r27dstcMzXhg0bMm3uvfdeu2TJEhuJRGxHR4d9/vnnCxdwCVOu80e5zh/lOj+U5+KjZ+uIiIhIUdE1JyIiIlJUVJyIiIhIUVFxIiIiIkVFxYmIiIgUFRUnIiIiUlRUnIiIiEhRUXEiIiIiRUXFiYiIiBQVFSciIiJSVFSciIiISFFRcSIiJentt9/mpptu4uyzz6asrIympiY+9KEP8corrxQ6NBE5SSpORKTkvPnmmyxfvpzDhw/zwAMPsGfPHh5++GHa2tqIRqOFDk9ETpIe/CciJeeLX/wiP/vZz3jjjTdwHH3GEplr9FstIiXnyJEjjIyM8NZbbxU6FBGZBSpORKTk3HzzzUSjUc466yxWrlzJrbfeyu7duzPv33333SxatIj29nba29tZvnw5/f39BYxYRKZDp3VEpCR5nsfvfvc7Hn/8cbZt28b+/fv5+c9/ztVXX82nP/1pPvKRj7B+/fpChykiM6DiRERKXiKR4Mwzz+Tyyy/nwQcfpKOjgwcffJCWlpZChyYiM6DTOiJS8nzfJxaLcdppp2Gt5bXXXmP9+vWZ0zq/+tWvCh2iiExDqNABiIhMx3XXXUdbWxurV6+mqamJN954gzvvvBOAL3zhC+zfv59zzz2X3//+9wWOVERmSkdORKSkXHTRRTz66KN89KMf5bzzzuOmm27i3HPPZefOnZx11lns2rWL1tbWQocpIidB15yIyJxy55134nkeX/va1wodiojMkIoTEZlTPvnJT/Lb3/6WhoYGAOrq6ti+fXuBoxKR6VBxIiIiIkVF15yIiIhIUVFxIiIiIkVFxYmIiIgUFRUnIiIiUlRUnIiIiEhRUXEiIiIiRUXFiYiIiBQVFSciIiJSVFSciIiISFFRcSIiIiJFRcWJiIiIFJX/D+C0IC389QGmAAAAAElFTkSuQmCC",
+ "text/plain": [
+ "<Figure size 600x500 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "\n",
+ "# Define the specific Δt values to plot\n",
+ "selected_delta_t_values = [3963.729471608014, 71347.13048894425, 118911.88414824042]\n",
+ "\n",
+ "# Define markers for each Δt\n",
+ "markers = {selected_delta_t_values[0]: 'o', selected_delta_t_values[1]: 'd', selected_delta_t_values[2]: 's'} # Circle, Diamond, Square\n",
+ "colors = {selected_delta_t_values[0]: 'tab:blue', selected_delta_t_values[1]: 'tab:orange', selected_delta_t_values[2]: 'tab:red'}\n",
+ "\n",
+ "plt.figure(figsize=(6, 5))\n",
+ "\n",
+ "for dt in selected_delta_t_values:\n",
+ " if dt in P_S_E_distributions:\n",
+ " sizes = np.array(list(P_S_E_distributions[dt].keys()))\n",
+ " probabilities = np.array(list(P_S_E_distributions[dt].values()))\n",
+ " \n",
+ " plt.scatter(sizes, probabilities, label=f\"$\\delta t$ = {dt} hours\", \n",
+ " marker=markers[dt], color=colors[dt], alpha=0.8)\n",
+ "\n",
+ "plt.xscale(\"log\")\n",
+ "plt.yscale(\"log\")\n",
+ "plt.xlabel(\"$S_E$\")\n",
+ "plt.ylabel(\"$P(S_E)$\")\n",
+ "plt.legend()\n",
+ "plt.title(\"Distribution of $P(S_E)$ for Selected $\\delta t$\")\n",
+ "plt.show()\n",
+ "\n",
+ "for dt in selected_delta_t_values:\n",
+ " if dt in P_S_LT_distributions:\n",
+ " sizes = np.array(list(P_S_LT_distributions[dt].keys()))\n",
+ " probabilities = np.array(list(P_S_LT_distributions[dt].values()))\n",
+ " \n",
+ " plt.scatter(sizes, probabilities, label=f\"$\\delta t$ = {dt} hours\", \n",
+ " marker=markers[dt], color=colors[dt], alpha=0.8)\n",
+ " \n",
+ "plt.xscale(\"log\")\n",
+ "plt.yscale(\"log\")\n",
+ "plt.xlabel(\"$S_{LT}$\")\n",
+ "plt.ylabel(\"$P(S_{LT})$\")\n",
+ "plt.legend(loc=\"upper right\")\n",
+ "plt.title(\"Distribution of $P(S_{LT})$\")\n",
+ "plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 332,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Optimized β: 0.1, Optimized ν: 1.0\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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St99+O3379uX+++8nNzeXd955h/j4eCtRZY//+7//49ChQ7z22mts3ryZsWPHEhoaSlZWFuvWreOPP/5gx44dADz99NN89tln3HzzzTz22GMEBgayfPlyTp06xerVq1GpHP8tdejQoWg0GoYPH84///lPioqK+OCDDwgJCbEpbtq2bcsDDzzA7t27ad68OR9//DHnzp2zElxxcXEMHDiQbt26ERgYyJ49e/jqq6945JFHLHWu5JoRCAQCp+OK1H8CgUBwLVKVxnz37t02j9tLY+7l5VWrrq300dRIYy7LsvzCCy/IERERskqlqpXSfPXq1XK/fv1kLy8v2cvLS27fvr388MMPy8eOHatzHj/88IM8adIkuX379rK3t7es0Wjk1q1by48++mitdOHV05hXzc/eo/rYkpOT5fvuu08ODQ2V3d3d5YiICPm2226Tv/rqqzrHlpKSIs+ePVvu1auXHBISIru5ucnBwcHyrbfeKm/atKlW/YMHD8qjRo2S/f39ZZ1OJ7dr106eNWuW5Xhubq58//33y82aNZO9vb3lYcOGyUePHq2Vnr0hacz/85//1BqHLdt9/vnncvv27WWtVivHx8fL69evl8eMGSO3b9++zvegOl999ZU8dOhQOTAwUHZzc5PDwsLkO++8U96yZYtVveTkZHns2LGW96FHjx7yt99+a1XH0TTm69evlxMTE2WdTifHxMTIr7zyivzxxx/XsnF0dLR86623yj/99JOcmJgoa7VauX379vKXX35p1d6LL74o9+jRQ/b395c9PDzk9u3by/Pnz6+VNv9yrxmBQCBwNpIsOymqVSAQCAQCwRXRuXNngoODHUp9r3RiYmKIj4/n22+/dfVQBAKBwKmIGCiBQCAQCK4yBoOBiooKq7ItW7bw119/MXDgQNcMSiAQCAQOIWKgBAKBQCC4ypw9e5Ybb7yR8ePHEx4eztGjR1myZAmhoaG1NlUWCAQCgbIQAkogEAgEgqtMQEAA3bp148MPP+TChQt4eXlx66238vLLLzd6AguBQCAQXBkiBkogEAgEAoFAIBAIHETEQAkEAoFAIBAIBAKBgwgBJRAIBAKBQCAQCAQO8reOgTKZTGRkZODj44MkSa4ejkAgEAgEAoFAIHARsixTWFhIeHh4nZuM/60FVEZGBpGRka4ehkAgEAgEAoFAIFAIp0+fpkWLFnaP/60FlI+PD2B+k3x9fV08msvDaDRy6NAhOnbsiFqtdvVwBAibKBFhE2Uht2+PlJmJHBaGdPSoq4cjQNwjSkTYRFkIeyiPxrBJQUEBkZGRFo1gj7+1gKpatufr69ukBZS3tze+vr7ihlYIwibKQ9hEWcgqFVLVcxP97L3WEPeI8hA2URbCHsqjMW1SX2iPSCLRxFGpVLRr167OdZqCq4uwifIQNhEI6kbcI8pD2ERZCHsoD1faRFwF1wAajcbVQxDUQNhEeQibCAR1I+4R5SFsoiyEPZSHq2wiBFQTx2QykZSUhMlkcvVQBJUImygPYROBoG7EPaI8hE2UhbCH8nClTf7WMVCOIMsyFRUVGI1GVw/FJkajEVmWKSsrE2tyLxO1Wo2bm5tIZS8QXCVMu3Zx9NAh2nfsiPjUEggEAkFTQwioOtDr9WRmZlJSUuLqodhFlmVUKhVpaWlCAFwBnp6ehIWFCfe8QHA1CAvDcPEihIW5eiQCgUAgEDQYIaDsYDKZOHXqFGq1mvDwcDQajSIFSpX3SafTKXJ8SkeWZfR6PRcuXODUqVO0adNGBIgKBAKBQCAQCOwiybIsu3oQrqKgoAA/Pz/y8/NrpTEvKyvj1KlTREdH4+np6aIR1k918wkBdfmUlJSQlpZGy5Yt0el0V9SWLMuYTCZUKpWwiUIQNlEWwh7KQ9hEeQibKAthD+XRGDapSxtUR3ig6qEpeCNkWRY38xXibDvr9forFmIC5yJsoiDefx9TXh4qf3/45z9dPRpBJeIeUR7CJspC2EN5uMomylcHgnopKytz9RAE1TCZTBw7dkxk6lEQwiYK44UXcH/6aXjhBVePRFCJuEeUh7CJshD2UB6utIkQUAKBQCAQCAQCgUDgIEJA/Q2RJIl169a5ehgCgUAgEAgEAkGTQwioRubUxWJe+fEoj362j1d+PMqpi8WN2t+FCxd46KGHiIqKQqvVEhoayrBhw9i+fbulTmZmJjfffHOjjuPIkSOMGDECPz8/vLy8uO6660hPT69VT5Zlbr755mtO1Ik9uZSHsIlAUDfiHlEewibKQthDebjKJooVUIsXLyYxMRFfX198fX3p3bs3P/zwg+X4wIEDkSTJ6jF16lQXjrg2X+w5zeDXtvD+ryl8dyCD939NYfBrW/hyz2mn9SFJEp6enpYkEmPGjGHfvn0sX76c48ePs379egYOHEh2drblnNDQULRardPGUJPk5GT69etH+/bt2bJlCwcOHGDWrFk2g/zeeOONay4BhlqtJiEhQXzQKghhE2Uh1XgWuB5xjygPYRNlIeyhPFxpE8Vm4WvRogUvv/wybdq0QZZlli9fzu23386+ffvo2LEjAJMnT+b555+3nNOY6cZlWabUYHS4fmp2MU+vPoBJBqpSjVc+P7X6APERvkQHeTnUloe72q7IqJ7CMT8/n23btrFlyxYGDBgAQHR0ND169LA6R5Ik1q5dy8iRI5k7dy7z5s2r1e7SpUuZOHEiJpOJV155hffff5+srCzatm3LrFmzGDt2rN3xPvfcc9xyyy0sXLjQUhYbG1ur3v79+3nttdfYs2cPYdfQhpqyLFNYWIiPj881Jw6bKsImykLGLJ6qngWuR9wjykPYRFkIeygPV9pEsQJq+PDhVq/nz5/P4sWL2bVrl0VAeXp6EhoaelXGU2owEjf7J6e0ZZLh5jd/c7j+4eeH4amxb6ry8nI8PDzw9vbG29ubdevW0atXL4e8TDNmzLDy3H366afMnj2b7t27A7BgwQJWrlzJkiVLaNOmDb/++ivjx48nODjYItKs5mYy8d133/Hkk08ybNgw9u3bR8uWLXnmmWcYOXKkpV5JSQn33HMP77777lWz4dXCZDKRkpIifqlSEMImAkHdiHtEeQibKAthj8YhN/MsBzf/TP6F8/gFhxB/wxACwiIcOteVNlGsgKqO0Wjkyy+/pLi4mN69e1vKP/30U1auXEloaCjDhw9n1qxZdXqhysvLKS8vt7wuKCiwtG80mr1LkiShUqkwmUzIsmz1cBW2+pckyapclmXUajXLli1j8uTJLFmyhK5du9K/f3/uuusuOnXqZNVG1bne3t54eZk9Ybt27WLmzJksW7aM+Ph4ysrKeOmll/j5558t73urVq3Ytm0b7733Hv3796811nPnzlFUVMTLL7/MCy+8wMsvv8yPP/7I6NGj2bRpEwMGDECSJB5//HF69+7NiBEjao2rJlVzbexyWZYt10LVvlA1U2PaK1er1RZvoNFotLSlVqst11LN+jXLa157NcurrtH6yqs2lLNVfrlzqm/sSp9TlU2Aa2ZO1cfY1OZUfe24vbE3tTnVV670OVXdI1WfXdfCnOoae1OYU9W519KcmrKdqv89uVbmdCV2ys3M4NDWjRRcOI9fSHPiBw7Br7n1D+L1zeng5p/Z+ME7IEnmVVqSxO71q7lxyqN0HDC43jkBtT6zrvTaq3ncHooWUElJSfTu3ZuysjK8vb1Zu3YtcXFxANxzzz1ER0cTHh7OgQMHeOqppzh27Bhr1qyx296CBQtsLlc7dOgQ3t7eAAQGBhIVFUVWVhYGg4GysjJkWcbdzY3Dzw+jrKzc6kLQaNxxc3OjtLTMyrCLt6WzbEcaRhtf2NUS3NszkkcGtrSUeXjokGWZsrJyq7qenh5oVFBaWmopkyQJDw8PjEYjer2eiooKysrKUKlUjBkzhqFDh7JlyxZ2797Nhg0b+M9//sOHH37I3Xffbbkwqs5zd3envLyctLQ0Ro4cybRp0xgzZozlfSkpKWHo0KFWY9Lr9XTq1MkyJp1OhyRJlJaWUlJSAsCtt97K9OnTkWWZdu3a8dtvv/Huu+/So0cPNm7cyObNm9m+fbvVvADLnKpQqVTodDoqKiowGAyX3kO1Gq1Wi16vt7rY3d3dLXOytpMGNzc3iz2r0Gq1qNVqysrKMBgMHD9+HEmSaNeuHRqNhqSkJKvxJSQkoNfrOXbsmNVYEhISKCwsJCUlBVmWycnJ4eTJk8TFxZGbm8vp05fi3nx8fIiNjeX8+fNkZWVZyquuvTNnzpCTk2MpDw0NJTQ0lNTUVAoLCy3lkZGRBAUFceLECau9wFq1aoWvry+HDx+2em+uZE5V6HQ62rdv3+TmJMsyubm5ANfMnKDp2inOYEBTeaysrOyamFMVTdVOVV9CTCYThw8fvibmBE3bTjExMYA5KVP1v1tNeU5N2U4REWavyMmTJ62+p1yNOaUdO8Len76jLC8XnX8AbXpfT6eevS9rTufSTpFx4E/K8nIJiYziultGcC6/sEF2+unTZRz5ft2lpdiSxJ71q2l/yyjCE7vanJMsy5gMBtxUEtGRkZw6fJBN779jbqFGqMvP779NEWo8A4PqnFNwcDCFhYUcOnTIIqiu9NorKirCESTZla6VetDr9aSnp5Ofn89XX33Fhx9+yNatWy0iqjqbNm1i8ODBnDx50ma8Ddj2QEVGRpKTk4Ovry9wSbmWlJSQmppKy5YtLckPGuLZOHWxmBsXbTXHQNVAJcEvTwwgpln9MVCOeE3Ky8vRarWWZBo16z/44INs3LiR1NRUc/8qFWvWrGHkyJFIkkRRURH9+vWjZcuWrF692tLOrl276N27N5s3b7Z8cFS1r9VqiYyMrDUuvV6Pt7c3s2fPZubMmZbyp556iu3bt/Pbb78xffp03nrrLYvqByxen+uvv57Nmzc36D1wRnlpaSmnTp0iOjoanU53xR6okydP0rp1azQajSJ/OWronOobu9LnVGWTdu3aWcbT1OdUfYxNzU7SjTeiP30aTWQk0qZN18Sc6itX+pyMRiPJycm0adOmVixBU51TXWNvCnOSZZmTJ0/SqlUrq+VJTXlOTdlOJpOJ5ORkm/awN6fczAySNm+g4MJ5fIND6DjgRoIiWjRoTkd+3cSG996y8tIgywydOo24/oMaNKcDv/xUy+ODLFt5fKrGLssmyoqL0ZeWoC8tpbykhIryMnIyzrLlkw8uiZ4ahLXtgAToy8uoKCvDUF6GvqwUQ3m53XNqIqlUdLttFP3uuq/OOcmyzLFjx2jdurXFJld67RUUFBAYGEh+fr5FG9gco5IFVE1uvPFGYmNjee+992odKy4uxtvbmx9//JFhw4Y51F5BQQF+fn4236SysjJOnTplJaAaypd7TvPU6gMWI1c9vzImkTu61xYfjcWiRYt46aWXuHjxImCdREKWZUaPHk1ycjI7duyweOLA/Et9cHAwH3zwAffee6/D/fXp04fY2FhWrFhhKRs1ahQeHh6sWrWKrKwsy1iqSEhI4M0332T48OG0bNmyZpONjjPsLRAIBAKBwHVcSTyNs9s5uPlnu8InfuCNDo9j6fSpdn/8vf+N9wgIDQdANpkqxUoZhrJSy7OhzFyWl5XBb/9bYVfENIuKxlhhtAgmQ1mpzXrOwF2rw2QyYqy2ssh6bira9u7HbdOebLQx2KMubVAdRS/hq4nJZLLyIFVn//79AIrK5nZH90iuiwnkf3tOcya3lBYBHtzZPdIhz5OjVI+1ycnJ4Y477mDSpEkkJibi4+PDnj17WLhwIbfffrvN8+fOncvGjRvZsGEDRUVFFteln58fPj4+zJgxg+nTp2MymejXrx/5+fls374dX19fJkyYYLPN//u//+POO++kf//+3HDDDfz444988803bNmyBbjkSq5JVFSUS8STszGZTOTm5hIQEGDlZRO4DmETZSHsoTyETZTH38kmjSVYdq9f3SDBUlc7Q/75GOGJXR2yR27mWTa895ZZ+NRYnrZhyZsEhEXg5eePobys8lGOobycCsv/zc8pe//AnpdDlmU+fWY6and39GWlVNj5fuwoF9PTbJar1G5oPD3Renig8fCkKCeb0sIC241IEqGxbekxYgzuOh3uWh3uOh0anYf5tU6Hu0aLpFKxbdUydn+zBrmGx83cDvgFh9Q7ZlfeI4oVUM888ww333wzUVFRFBYWsmrVKrZs2cJPP/1EcnIyq1at4pZbbiEoKIgDBw4wffp0+vfvT2JioquHbkVMMy+euql9o/ah1+stWfh69uzJ66+/TnJyMgaDgcjISCZPnsyzzz5r89ytW7dSVFREnz59rMqr0pi/8MILBAcHs2DBAlJSUvD396dr16522wOzt2nJkiUsWLCAxx57jHbt2rF69Wr69evn1HkrFVmWOX36NP7+/q4eiqASYRNlIeyhPIRNlMffxSbOED71CZaI9nEWT01NZFnGWFFBhb6c7NPp9tt57y1aXT+YyJgYjAYDFXo9Ffoq4VOOQW8WQBX6crLPnrHpNarq7/PZ/9eAd8g+5SXFtcokSVUpWnS4VwoXjc6D3MwMivNybLQCSBIR7eLod+e9aDw90eg8zM8enri5u1tVrUv4SJJEVMcE2vTsU+tYTeJvGMLu9attH5Rl4gcNtX3Mqprr7hHFCqjz589z3333kZmZiZ+fH4mJifz0008MGTKE06dPs3HjRt544w2Ki4uJjIxkzJgxVjE3f0e0Wi0LFixgwYIFddarflNXeYXsIUkS06ZNY9q0aQ0ay6RJk5g0aZLD9ZvQSlKBQCAQCARcueeoIcJHlmUqDHr0JSWUlxRTXlKMvqSU8tJiDm7eUKen5svnn8M7IJAKfTkVBj0Gvd4igCr0esdic2SZlF83kvKrw9OrE3edB+5abeVDh1vls7tWi1vl84W0U5xPTbE5PkmSaN9vINeNGGMlltzcNbXiGKF+4RPRrgMt4uLrHbczhA9AQFgEQ6dOY8OSNyvFM5UbBJqXOdoTvEpBsQLqo48+snssMjKSrVu3XsXRCAQCgcBZSPfeS6vUVKSYGFi1ytXDEQj+drh6yZxsMlFaWMDv6760X0eW+Xz2k7jrdJSXlKAvKcFkrGjQGKsozL5AYfaFyzq3OhpvH2LiO5mFisYsfmo9a7Uc37Wd5N07bccuqVR0Hz6a/vdMrLc/SwyUneO9x97tsNBQovCJH3gjEe3jOLhpw6VrcdBQxYsnULCAEjjOtb42uini4+Pj6iEIaiBsohykX3/F9+xZ5PR0Vw9FUA1xjyiPmjZxtfCpPo66PEcePr6o1GqKcrMpzsmhKC+X4txsinJzKMrNoSQvF5MD++2U5OdBfo1CSULr4VkZl+OJxtOL4rwc8s9l2WoCSZJo1bUH8TcMwU2jqXxoazyb/7/jy0/ZY89Lo1IR3a0nt/zz0Xo3bQ1t1Zrk3TttH5RlElwgVpQqfAJCw7neATFpD1d9bjWpLHzOprGz8AmaDsLeAsFVpEULOHsWIiLgzBlXj0YgaHSaQlY3JInBD/wLD29vKvT6yjifcioq432MBj0VBgNGg56zR49w8XRqg8Zvqz83jcZu8gNJkmjTqy/dbrkdjYcnWk8vtJ6euGt1SDV+OG5Itrq6cFY7AAe3bLQrVhqS1AIgNyvDaV4aZ7Z1LeJoFj4hoJq4gJJlmYqKCtzc3GyueRU4hjPtbTKZOH/+PCEhIcI7qBCETZSF3KIF0tmzyBERSEJAKQJxj9jGlcKnuk3yz2XW+cV+xIyZuGu1lBUVUVZUQFlREaWF5uey4kJKCwspKyqk4OL5K87W5ghqN3cCI1rgHRCIV0AQ3gEBlc+B5rLAQDx9/Sm4cE5xgsVeO0P++RjBHRIadI8IsdK4NMbn1jWZxlxgG4PBgJubMKVSkGWZrKwsgoODXT0UQSXCJgJB3Yh7pDZXY6mbX0hzdN4+5sQIpcXoSyo3LS0toby4iIzTp/Hx8iTz+NE6s7p9/Z8XnDJnnbcPzaKicXPXoHbX4ObuXrnMzd3yWu2u4fThJM4cOWg7uYFKRbdbb3doWZYSl5XZa8c3uDlJSUkNukeudHmaoG5c+bklvnULBAKBQCC4prga2eG8A4MoLyqirLiIsqJCyoqLKS8usnh9yoqKOH3oQJ3C54t5z1zxXAHU7u74Nw9D5+2Dh48POu9LDw9vH3Q+Pui8fDi8bROHf91kN8YncfAwh77w15ncoAEJCUBZ8TR1tWN0IGZL8PdBCCiBQCAQCASK4GonSajQ6ykrLqomfMz/P/TrpjrTYi+dPtX2BqANRJJUePj6oqncpLQqOYLGwxN3nY78omJaREdz5vBB0pP2283q1u0Wxzw+PkFBHN76i+2DLkxBfTnCJ+9cCUd2ZFKYXYpPkAcd+oTh39yzQW0IBJeLEFDXAPVlgxFcXSRJIjAwUMSkKQhhE4GgbpRwj1xpWuyy4iKyTp7gp/feMp9fw3P00+I32P/Tt1To9RbBVGHQX9ZYq8STJKnQenuj8/JC5+WNztsHrZd35f+9yTh+lDOHk+wKn+uGj7YrHEwmE2fOnKFFixa069WPpdOn2hlM009B3VAxdGRHBptXHK0cu3kO+zakccO9HejQJ6zB/TuCEu4RgTWutIlIItHEk0gInIOwt0BwFRFZ+K45nLFkrq7scEOmPIJKpaYkP8/8KMi3+n9pQb5DabFtIknoPL0qhZAPOm9vCi5eIDfzrN0Yn8TBN3H9PRPReHjU+eXt75DVrSbOEEPI2BVDeedKWDV3l829byUJ7pnXC/8Q4YkSXB4iicTfBFmW0ev1aDS2d562hSRJrF27lpEjRzbu4P6mVP/VUGSzUgbCJsqi2nckxG+5yuBK7pHL8RwZKyooysmm4OJ5Ci6cJ2nTTza/EAMgy/z83tsOjUWlVtsXUpJEeNv29LnjHxYPkdbLG62Hp/202HbG0+22kWg96/+SfiUen5o2cYbHx1rcXE+/u+pf9tYQQdRQz1DeuRI2rzhqtn3Vm135vOmTI1w8U4ikktCXVFBeWkF5SQU5mcX2rxUJjmzPpPeoWEfejgYh/o4oD1faRAioxiY7GfatgLx08I+CLvdCkHNv7OqBjRcuXGD27Nl89913nDt3joCAADp16sTs2bPp27cvAJmZmQQEBDh1DNVZs2YNS5YsYe/eveTk5LBv3z46d+5sOZ6Tk8OcOXPYsGED6enpBAcHM3LkSF544QX8/Pws9Xbv3s3TTz/N3r17kSSJHj16sHDhQjp16tRoY3cGsiyTk5NDRETD1u0LGg9hE2UhP/AAF5KTaRYbKwSUQrjce6S+ZAuyyYjJaLIIpYKLFyi4eJ7inBxk2fEYIq2XN2Gt2+Lp529++PpZ/9/f/Lzji0/ZbW8jVEmiRfuORCd0rrc/JSx1s2WT6rFCl4TNwUZb9taQc7LPFtYphk4fzUE2yZQVGSgrNj+K8/X2xRBwYFMDPdQyFGaXNuwcR5sWf0cUhyttIgRUY7JvJax/FKtPnu1vwoh3oMs/GqXLMWPGoNfrWb58Oa1ateLcuXP88ssvZGdnW+qEhoY2St9VFBcX069fP8aNG8fkyZNrHc/IyCAjI4NXX32VuLg40tLSmDp1KhkZGXz11VcAFBUVcdNNNzFixAj++9//UlFRwZw5cxg2bBinT5/G3d29UecgEAgaD3n2bDKSkghKSHD1UP72VC29yzt/jnIkWjQLolmLSIfONejL+X3dl3aPy7LMhjo8R2o3N3yaBePbLISSgnwunk6zu2Su0403OZRkIP6GIexev9regBSbHc6Wl8enmdZufWd6ejavOEJoK188/bToSyssj5zMYrasOmauZ0MQ/bXpNKYKE+UlZs+QsaJuQXzij3N1HreFb7AHsV2C0Xq6ofVwQ+PpRsq+i6TsO29beEngE+TR4H4EgoYiBJSjyDIYShyvn5NiFk+2fmFb/wiEdYLAlo615e5p/gWsHvLy8ti2bRtbtmxhwIABAERHR9OjRw+retWX8M2dO5d58+bVamvp0qVMnDgRk8nEK6+8wvvvv09WVhZt27Zl1qxZjB071u447r33XgBSU1NtHo+Pj2f16kt/4GJjY5k/fz7jx4+3bAp89OhRcnJyeP7554mMNP8xnzNnDomJiaSlpdG6det63w+BQCAQ2KfW0jvgk13bai2905eVknP2DNln0sk+e5rsM+nknDlN3vksm4KnOlpPLyLax+EbHIJvsxB8g0PwCQrGNzgELz9/y9I5Z6XFborZ4eyJoQH/aAfettu36+lZcQST0YS7Vo2+zIi+rAJDmZG0Q9l2TSXLsGru7w2aI0D2maIG1Q8M8yKuXzg6Lze0Xu7ovN05siOTI9szbH5VklTQumtIreV4IVG+pOw7b7sTGTr0bZwkEgJBdYSAchRDCbzkpN2jZRMs6et4/WczQONl93CVN8bb2xtvb2/WrVtHr1690Grt/3pVxYwZM5g69VJmn08//ZTZs2fTvXt3ABYsWMDKlStZsmQJbdq04ddff2X8+PEEBwdbRJozqArWq9oQuF27dgQFBfHRRx/x7LPPYjQa+eijj+jQoQMxMTFO67cxkCSJ0NBQkalHQQibKAthD9djc+ldJT8teZMzRw9RkptD9tnTFFyw82UV8/5DRoPB5jFJpaLTkJub7IaqVTRGDJDJJFNeYuB8WiGbVhy16eXZsvIYoW28OfNbEoZyE4ZyI4ZyI8V5ZXXEi8GWT49d1jwBVGoJjYcbGg83yooN6EsqbFeUICzWj57DW6HxdEPr6caBTWc4sPm0XTEUk9iMToOtvZs6T3eO/JZhdy62xJB/c09uuLcDm1ccqRZ3hyXxRGMlkBCfW8rDlTYRAqqJI0mSRUC5ubmxbNkyJk+ezJIlS+jatSsDBgzgrrvuIjEx0eb5VaILYNeuXcycOZPly5cTHx9PeXk5L730Ehs3bqR3794AtGrVit9++4333nvPaQLq4sWLvPDCC0yZMsVS5uPjw5YtWyyxUQBt2rThp59+sogspaJSqRp9maSgYQibKAthD9fz188/2D8oyxza/LNVkaefP0ERkQS2iCKoRSRBEebn8pISlj1hJ3ueApfMNWa67PoSIiRtOY2h3GSOASoxYNvdZk3WiYZ5eQC0nm40i/RBo1Oj0bnhrlNzIb2Qc6kFNvuUJIgf2II+o2Nxc7+0LcrOtcns+znNtiCSICzWn4h2l+Kp4/tHcGDTaduDcrIY6tAnjLDWfhzZXs2WfcMaNfue+NxSHq60ibK/iSoJd0+zJ8hRNr8EuxaDbCMbkKSGXg/BDc863rcdZFmmvLwcrVaLJEmMGTOGW2+9lW3btrFr1y5++OEHFi5cyIcffsjEiRPttpOens7IkSOZMWMG48aNA+DkyZOUlJQwZMgQq7p6vZ4uXbo4NvZ6KCgo4NZbbyUuLo65c+dayktLS3nggQfo27cvn332GUajkVdffZVbb72V3bt34+Gh3DXORqOR1NRUYmJixB5dCkHYRFnILVognT2LHBGBJNKYXxUKsy9y9thhzh49TMaxI5xPTa6zfkBYBN1vG0VgRAsCIyLx9PWzWc/LP8BlS+Yae++g+pbKlRUbMJQbKbhQSv6FUi6eKaxzReOF9NpiSKWWMBntn+QT4k63IS3ReLjjrlWj0ak5siOTY7uybKfxVkHH6yNqLXuzpP6200/iDS2sxBOYRcq+DWm2T7AhiK62GPIP8WyUbHv2EH9HlIcrbSIElKNIUp3L6GrRfRLs+q+dg7L5eEPaqwNTjWxDOp2OIUOGMGTIEGbNmsWDDz7InDlz7Aqo4uJiRowYQe/evXn++ect5UVF5g/77777rlaGE0eWB9ZHYWEhN910Ez4+Pqxdu9YqMcSqVatITU1l586dltSUq1atIiAggK+//pq77rrrivtvTAoLC109BEENhE0E1xJ17btkMhnJPp3O2WNHOHv0EBnHj9S5DK8mkkpFmx69SbzxJofqOz+99tUXQ/qyCjQ6NYZyExV681K59MP244aQYcfqkw7PDwlCW/nR6/ZW6Lzd8fDWoPVy44/1p+x7eVTgG6GmfZ8wqy+Hnr5aju3KsjsuZ3l6LuecpiKGLhfxd0R5uMomQkA1FkGx5mx76x+h1u5wI95xeirzuoiLi2PdunU2j8myzPjx4zGZTKxYscJqHWlcXBxarZb09HSnxjuB2fM0bNgwtFot69evr7V5bUlJCSqVymo8Va9rCkaBQCD4O2Fr36U/1q+m9XW9qdCXk3n8KOUlxVbnSJKK4JiWRLSLI6J9HF4BAXwx9xmnLL2D2p6jvHMl7FybfPX3DlpxhAqDEUmSKM4vpySvnOICPefT6vAOyfDbFycaNF8ADx93YhKb4RfsgW8zD9IPZXPs9yy7S97CW/sT0dZ6C5H6vDzN29f+sfJqenou55ymIoYEgitBCKjGpMs/IKpXo+8DVUV2djZ33HEHkyZNIjExER8fH/bs2cPChQu5/fbbbZ4zd+5cNm7cyIYNGygqKrJ4nfz8/PDx8WHGjBlMnz4dk8lEv379yM/PZ/v27fj6+jJhwgSbbebk5JCenk5GhnnJ47Fj5oDW0NBQQkNDKSgoYOjQoZSUlLBy5UoKCgooKCgAIDg4GLVazZAhQ/i///s/Hn74YR599FFMJhMvv/wybm5u3HDDDc5+6wQCgaBJUNe+Syf/2GGp567zIKxNO7NgahdHWJu2aDysv/TWXHonIyNVllf3HrksbmjFEdzcJdw0akor9w4qLzaQdrBuz9Cvnx2v+020gYe3O8HRvrhrVbhr1Lhr1ZyvK25IBR36hFsJheBIH6d6hgb8ox0G7ws2m7uanh4hiASC2ggB1dgExcKNcxu1C41GA5gTQvTs2ZPXX3+d5ORkDAYDkZGRTJ48mWeftR1vtXXrVoqKiujTp49VeVUa8xdeeIHg4GAWLFhASkoK/v7+dO3a1W57AOvXr+f++++3vK5abjdnzhzmzp3Ln3/+ye+/m1Om1kxHfurUKWJiYmjfvj3ffPMN8+bNo3fv3qhUKrp06cKPP/5IWJiyU5RKkkRkZKTI1KMghE0ETZnivFzOHDnEmSNJHNv5m22vUSVRCZ3p/4/7CY6KQVVPTIDV0rvz59D4+NL95uEEhrew1HH2fkNaDzUqNxUlBXpKC/Uk/3mhTjG04aPDdc7BFlovN8Jb++Ppp8XLT4Onr4bTh3NI2W+7L0kFHfqGNyxu6CrEAPk205Gbq7P7uSWEzdVF/B1RHq60iSTX9Ul8jVNQUICfn58lhXZ1ysrKOHXqFC1btqy1vExw7SHsLRBcRVq0gLNnISIC/mZJJOqKXaqiMPsiZw4ncebIIU4fOUhuhmPvkSSpaNu7H7dNe9JunYZ4kywCwk7mtrtn90Dj6U5Jvp6SQj0l+XqO7sok40SeQxnmHMFNoyIw3Budlzs6bzd0Xu5cSC8kMznfrmeoy5Bo+2LIzlzumdfLpsA5siPTriCyJSAB8s6X1OsZ0qemkrd6DYazZ3GPiMB/zGg0Ct+iQyD4O1CXNqiO8EA1cWRZpqysDJ3O/q9UgquL0WjkxIkTtGnTRmTqUQjCJsqiWkQof6dPLVuxS7vXr6bfPRPx9PXjzOGDnDmSRP75c9YnShLBUTG06BBPYfZFkvf+jmwrFlQCv+AQu/3X5U1q2zPEco+oVCrKSyrY+1Oq3bZkGVbN+6PB74HaXUVAqCeevlo8fd3JzSqpc5lc4g2RV+wZgqsbN+RZcp7YlK8t4sizy2gg5tL4V68hc9Ysq+sg+6OPCHvxRfxHj7LUE59bykLYQ3m40iZCQF0D/I2diIqlrKzM1UMQ1EDYROBK6opd2vbpUqu6kqQipGUsLeLiadEhnoj2cXh4+1jaSd6zy3YndSR/qG+PovRDF8k+n8efFXkU5ZRjKLexBYcNJAk8fDR4+Grw8tVQlFdOTmaxXUHUaZC1IFKSGLLnFaq+VE6fmkreiiWcteM5qk8c6VNTzcdtCODMmTPx7NYVTXS0pUx8bikLYQ/l4SqbCAElEAgEAkEjUV5SQlbycXZ+9VmdP3Z5BwQR1/8GWsQlEN62A1pP2yIgICyCoVOn8dOSN2uJFDfPoWSlSARU7itpMprIv1BKbmYJ+385XeceRSf3ViUrMFxqT6OiQm8762nV5qv97miDSnXJj+jquCF79auLo9jLED6O1Ck7dozMmTOx9UZnPvssOStWYDh71qZ4qnpT875aTci/n7B9XCAQKAYhoAQCgUAgqANH4pYAZJOJnMyzZB4/SuaJY2ScOMrF02k2v1BXR5JURHTo6PAGsi069EHrm09F+UFkYwGS2he1Jh6VOoBNnxzh5N5zFOWWk3eupM5NWqsTEOZJUFuJdgmt8A/2wjtAS1Fuud24ITBvvlpdPIHz9w6qK1aoyjNUVad421n0jeAV0rRqiTE3t05xlPXSS8hFtTfKrU75kSN1HkeWzQJLIBAoHiGgrgGcsamtwHmoVCpatWpl2QBY4HqETRTGihUU5+biGRBQf10XYy9uaejUabTp0ZvMk8crBZNZNJUV1/4S7RscgptGS07GGdtiqjJ2yZEED7Iss39jOip1AO4e19scc/qhHMv/3TQqAsO8qDCY6lxaF5PYjPjBIfj4+FjiaRvbO1RTHHUbMxpNTLzluDO8QnWKo+eew5ifT9Gvv9oXuSYTaXfdbftYNeoTT0gSHl264N4igoJvv7PthZIk3KttWi8+t5SFsIfycKVNRBY+kYVPgLC3QCCoTW7mWZZOn9qgOFM3dw3NY1sT1qY94W3aE9a2Pd4BgXW2JUkS/e97gT++yam17/qAe9oREOpFVkq+5VFaaKjVRnWatfCm18hYAsI88QnQIamky85CB45llWsotoQPsmwlfJJvudW20FCpiPnifxiLijh9/yS74serbx/Kk1OoyLKzN1MDkDQaZL3ezkEJr+uvR9MyhtyVn4LRRvyYWk3QpEn4jxld57xif/jeKgZKIBBcXUQWvr8JsixTWlqKh4eHyMKnEIxGI4cPHyYuLk5k6lEIwibKoinYQ5Zl9nyztt56fiHNCWvT3iyY2rYnODoGtZt7rXpVsUvVN641iySZfvc8xB/f5NhM8LDl02O1O5Ww6UkCszcpqmMQ0fFBVuX1eZN8grQkJSXZtEnN/Yb0qamcf63uFNx1Lb2rzyskyyYKf/qpTq9Q6tg7bB+rRvH2HfXWUQcFofbzRX8q1XZ/KhWBk+5HklRkf/yxbXGkUqFr1w7/MaPJXbHSdkeyjP/YMWiiowl78UXzckAb4rG6eGoK98nfCWEP5eFKmwgBJRA0AkZbf2QFLkXYRFko0R4FFy9w+tAB0g/+RfqhAxRlX7RfWZJo3b0nt8+Y6XD7VhvXVsZTdbxhCPt+zkfGvpfETaMiqmMQoS39CI31Q6NT8b8Xd9vWF3Yy10HdS+uMRqNDNrnSZXV+o0aSvWyZ/Q5kmaznHHxP1WrbggZAktB1jMMtpDlFW7bY9vio1fiPHn3JK2RHsAXccQfIMtkffWR3zA0RR/6jR+HZrSt5X62+JDArz6+JEu+TvzPCHsrDVTYRAkogEAgEV5ctW/A5dgyys2Hw4Ebrpr7kD8V5uZw+nMTpgwdIP/QXeVmZ1g1UfQm2gSRJBIa3sNu3vXimgNBw+t41gayUfFL2X+C7d9MouGg/Da8kmeOThj0Yb1V+ObFJUNubVBN9WhqFa9c13HNUmYIbWbZf59lnyXrxReSSErv9A6h8fFD7+2M4YydmTKUi8P6JSCp1nV4hr9598B8z2iygbNFA4eNMcaSJjhbZ9gSCJowQUH9DJEli7dq1jBw50tVDEQgEf0NUEyYQe/YsckQEnDnTKH3YS/7QaditSEikH/yL7DPpVudIkorQ2DZExicS2TERLz9/Vjz1mO0YqDr2XLK3YW3i4EgMZUZO/XXBKo5JUoFsJ7M1EvgGedQqvpwNXutaVgeg2rKF1Pc/sO85src8DcBk4tS4O81xQvbSdINZPKlU9uuo1QTcdVf9XqFx4666V0iII4FAUIVIItHISSTSCtJYe2ItGUUZhHuHM6rNKKJ9nRcgKssysiwjSRKSJHHhwgVmz57Nd999x7lz5wgICKBTp07Mnj2bvn37ApCVlUVAQECjZO8zGAzMnDmT77//npSUFPz8/Ljxxht5+eWXCQ8Pt9SLiYkhLS3N6twFCxbw9NNPW83ttdde4/333yctLY1mzZrxr3/9i+eee87p43ZmEglZlikrK0On04m4NIUgbKIs5BYtkCoFlNQIAqohyR+Co1sSFZ9IZMdOtOjQEa2nl9Xxg1s22oxbGjp1GvEDb6zVXl3JGqqj9XQjJqEZrToH4xus44v5tpfk1ZfgoYr6xFF9SRvKTp7k1PAR9uOONBqwl0TBUSQJr379aP7Uk6SMuL3eRAp5a9baFT6W5YIO1AGzZ82RJXNKQnxuKQthD+XRGDZxNImEEFCNKKDWnljL3J1zkZCQkS3P8/rMY2TrkU6YAVZfECRJon///uj1ehYsWECrVq04d+4cv/zyCx07dmTEiBFO6bMu8vPzGTt2LJMnT6ZTp07k5uYybdo0jEYje/bssdSLiYnhgQceYPLkyZYyHx8fvLwufXl57LHH2LBhAwsXLiQhIYGcnBxycnIYMmSI08ftbAFlMplQqVTiQ1YhCJsoi8YSUAZ9ORnHjrD9i5VkHj9qt15ITCt6jhpHi7gEPH396m03NyvDKm4pftBQAkLDbdb97csTHNhkf9PaZpHe9BnVmvB2/qjVl1LvHtmRaXdJXmx4+RWJo/LkZFKGj7Dr9VEHBmLMybF5zGFUKnxvvhlJqyV/3Tq7MUdBkyYR8u8nnCp8mqI4cgTxuaUshD2UR2PYRAgoB2iIgJJlmdKKUofbTi9I585v78RE7T8iKlR8MfwLIn0iHWrLw81+hr3qWfjy8/MJCAhgy5YtDBgwwG571ZfwzZ07l3nz5tWqs3TpUiZOnIjJZOKVV17h/fffJysri7Zt2zJr1izGjh3r0NgBdu/eTY8ePUhLSyMqKgowC6jHH3+cxx9/3OY5R44cITExkYMHD9KuXTuH+7pcnCmgjEYjSUlJJCQkiEw9CkHYRFnUJ6Ac3bi2wmAg68Qx0g8d4PShA2SeOIqxoqLOviVJRdve/bht2pMOj7e+/Zn0ZRWkJWVzcu95Tv11wa54kiRo3S2EodXimap7jsqDW5IR1oeSCo1lSR7bfrz8dN+AW/PmVJw/X+9mvnDJwWZr4N4D+hMyY0a9niNk2eE03XUJn8ZevdEUEJ9bykLYQ3k0hk1EGnMnU1pRSs9VPZ3SlgkTY79xXID8fs/veLrXv+eGt7c33t7erFu3jl69ejm0RG/GjBlMnTrV8vrTTz9l9uzZdO/eHTAvq1u5ciVLliyhTZs2/Prrr4wfP57g4OA6RVp18vPzkSQJf39/q/KXX36ZF154gaioKO655x6mT5+Om5v5kvzmm29o1aoV3377LTfddBOyLHPjjTeycOFCAgMDHepXIBA0PerauLZDv4GcSzlpzpR36AAZx45QoS+3Ot87MAitpxc5Z0/bXsJXuWmto9iLZ+p/V1u0nu6c/PM8aQezMRrsx/1U79unWjyTLc9RkLyY+BdfxH9UpTiqIyFD7uefo09JqTPmqOLcuXrGJOHVpw/u0dHkfv65XeGjbdMWbevWTku2AJAZAGsHqsgoUhPurWJUAERje/XG0kNLnbp6QyAQCK4EIaCuIdzc3Fi2bBmTJ09myZIldO3alQEDBnDXXXeRmJho85wq0QWwa9cuZs6cyfLly4mPj6e8vJyXXnqJjRs30rt3bwBatWrFb7/9xnvvveeQgCorK+Opp57i7rvvtlLyjz32GF27diUwMJAdO3bwzDPPkJmZyaJFiwBISUkhLS2NL7/8kk8++QSj0cj06dMZO3YsmzZtutK3SiAQKJDczLNseO8ts/CpEj+Vzz8tfoNfPlpcSzB5+vkTGZdAZMdEouIT8Q8NJy8rg6XTp9Zs3tKeveQPNck7V8LmFUdt7s+09bPjVnX9gj1o3S2EkJa+/LgkyYbDRwZZsqQYr28vpPKUZIp/3VanOCo7cKDuCUgSnr16oWnVkrzP/2d/D6O4OHxGjST3s89st1OZkAEuL9lCSbA3mxNVnPTeSfjeNEa1GcWf5/60KZIe6/IYb+17C5ONrBpzdsyha0hXonyj6p63QCAQNDJCQDmIh5sHv9/zu8P1393/Lp8e+RSjXPsPllpS848O/+Dhzg873LejjBkzhltvvZVt27axa9cufvjhBxYuXMiHH37IxIkT7Z6Xnp7OyJEjmTFjBuPGjQPg5MmTlJSU1Io50uv1dOnSpd6xGAwGxo0bhyzLLF682OrYE09cylCUmJiIRqPhn//8JwsWLECr1WIymSgvL+eTTz6hbdu2AHz00Ud069aNY8eOXZVlfQKB4OpycPPPdaYOr9CXo/PypkVcQmXih0SCWkTVWuJc16a1Q6dOsxu/VJMjOzLr3LRW6+FGxwERtO4WQrMW3pZx3HBvBzZ9chjJZEKWLrmu2h/7FH7Lh9GjyP3qK/sdyzI5H9rJLleFJOHRKRH3qCgKvv3OrufIIz4e/zGjyfvsc7t9+Y8dg7pFCyr++U/c33+/Ts9RWkEaay+uJaN7FuEDIxnVZhQhvtG2l9z9+4lL3qRsCTnbLJQ+PvixuWsbb+wbf76BZHshIRISa06s4fFuj9f93ggEAkEjIwSUg0iS5NAyuirGtRvHyiO2U77KyNzZ7s4GtVcXHh7WAkun0zFkyBCGDBnCrFmzePDBB5kzZ45dAVVcXMyIESPo3bs3zz//vKW8qKgIgO+++46ICOv4g/qWB1aJp7S0NDZt2lTnOlKAnj17UlFRQWpqKu3atSMsLAw3NzeLeALo0KEDYBZ7ShZQKpWKhIQEVCpV/ZUFVwVhk6ZB/oU6YnUkiZjELox+ei6SA3a0tWlt/KChSJI/O9cm241nkmWZnMxiUg9c5PBvGXbTi0sSRHYMpPfI2nsqxYaXU/LH82Q270WpLgiPsmzCsnbiWXqBzOd2kffll5QmJdXpXXILC8M9PIzSffvtiiPP63rgP2a0WUDZot5U3iaSHuzP0tR3Cb8YzogJI4gYeTv5q9eQl3acE9p8/uwRiE90GqMK0ux6jW6PvZ2vk7+27U368y2bscB1YUtYVZVnFGU0qK2mjPjcUhbCHsrDlTYRAqqRiPaNZl6feczZMcdmFj5nLkGoSmNuj7i4ONatW2f33PHjx2MymVixYoVVO3FxcWi1WtLT0x2Od4JL4unEiRNs3ryZoKCges/Zv38/KpWKkBBzbELfvn2pqKggOTmZ2FjzF5Tjx81LZqKbQHYlvV5/xckoBM5F2ET5+AWH2PVASZJESEwrh8RTFQGh4Vx/z0TLa3M8065a8UwD/tEOv2YenDpwkdQDF+vc2LY6bslJnH1iaa3MeHmr1+BZnk3sqfW1T5JlSvftq7thtRq/2267tBeSLRqwz1FaQRpro9MonDeQrn/k0Kbcj/O+8HyzHZwP3ImcVil6DprjjOQRLZm7c7n5b1apjHRoe51eo7Un19oc4ht/vlH3PBuIhES4t2Pew2sF8bmlLIQ9lIerbCIEVCMysvVIuoZ0Zc2JNZZlDaPbjHb6+u2ysjI8PDzIzs7mjjvuYNKkSSQmJuLj48OePXtYuHAht99+u81z586dy8aNG9mwYQNFRUUWr5Ofnx8+Pj7MmDGD6dOnYzKZ6NevH/n5+Wzfvh1fX18mTJhQqz2DwcDYsWP5888/+fbbbzEajWRlZQEQGBiIRqNh586d/P7779xwww34+Piwc+dOpk+fzvjx4wkICADgxhtvpGvXrkyaNIk33ngDk8nEww8/zJAhQ6y8UkrEZDJx7NgxkalHQQibNA3ibxjC7vWrbR9sQOySLeqKZ9qy8phVXbWbioh2ATRv6cue707ZjGeSTTL+G96joPSCZcPZ5s8+i9rHm/xvvrEdb1SJLr4jzR56iDOPPmbbu+TETWBrJmRYnSBZ4otkZKixzHz2jtmXjrkAFSrkyn81kZEZ3Wa0C0blGsTnlrIQ9lAerrSJEFCNTJRv1FVbr+3t7U3Pnj15/fXXSU5OxmAwEBkZyeTJk3n22WdtnrN161aKioro06ePVXlVGvMXXniB4OBgFixYQEpKCv7+/nTt2tVue2fPnmX9evOvrp07d7Y6tnnzZgYOHIhWq+Xzzz9n7ty5lJeX07JlS6ZPn24VF6VSqfjmm2949NFH6d+/P15eXtx888289tprV/AOCQQCJWBKS7uUerZaefXYpaoMepJK1eDYJVvUF8/kplHRuntzWiY0o0WHADQ6859Hn0Cd9f5MgGyS6XDsUzyLrTPcnXvxxfoHolbj1bsPPoMHX7E4qo6tjHYUpDF351ybCRns4SrhZEGCaV2m8da+txp99YZAIBBcLmIfqEbcSPdqUH0fKLGx2+Uj9oG6thE2URb12ePkHzv5+rX5qN01dLtlRJ0b19ZHhcFI2sFsfvvfCYryym1XqtyfaVi1/Zmqk3e+hCPbzftAqZOT8N/wXi3xVIU6MBCfYUPNWe9s/XltwF5ItrCVrMFWbJKMTN/wvmzP2N4gAeVM6vImVSWKUEkqmxvNpxekN/rqDaUjPreUhbCH8hD7QAkE1xjiw1V5CJsoi7rsIanNcU7NIqOsYphqYm+DW5NJ5uyxXI7vPkfKn+fRl9lfTgdmx49vtf2Zqm9uWxXf1HtULIZz50if9Cl6O+IJlQqvXr0ImzMHj4REh/ZC0kRHE/LvJ2o15ahQqis2advZbXXO2+77Udn+FVOPN6muJe5Xc/WGkhGfW8pC2EN5uMomQkA1cSRJwtPTOdn8BM5BrVaTkJDg6mEIqiFsoizqs0dRTjZg3hTXHrY2uP1zQxot2geQc7aYkgK9pa53gJbIDoEc2ZlpewmfjGV/Jlub22Z/+CG6hATKDh+Gigr7E5Mk3Cszljqy9M5m6m/f2nFL9QklZ2IvhXj1YzW9Rray8FX3Jg2JHmJXKAmRZB/xuaUshD2UhyttIgRUE0eWZUwmEyqVSizhUwiyLFNYWIiPj4+wiUIQNlEW8ty56C9eRNOsGdLcubWOWwRUgG0BVVdCiDNHcgHQernRumsIbXs0JyzWH0klEdba3zqeqVJ83XBvB/xDPOvc3LZq01pdfDxlhw7ZXp5XbcNZuORdSitI48sTa8moTBde70ayl5H6u6HYFEOyWfQgYTeDrD2v0YMJDwpvkpMRn1vKQthDebjSJkJAXQOUl5fX2gtK4DpMJhMpKSlinbSCEDZRGB9+iPbsWeSICLAhoArr8UD9tel0nX6Y2C7BDHmgI2o365TnHfqEEdbazxLP5BPkQYe+YfiHmL34eavXmMWVLSQJv1GjCH9pPnlr1tpcnqeZ+Tj/vbiWjNTLX3bnzNTfaklNn/A+bM/YXq8YCvMKI84Yx42tbkStVte5vM6WGBIiyfmIzy1lIeyhPFxpEyGgBAKBQKAIqmKa0pLSAFC5+ViOlRbqObn3PCf2nCPzZL7dNiQJVGqplniqwrPkPLEpX1uW1Xl2GQ3EYMjMpHDjRvvpxyUJuazM5p5K/tFt+aO7L8+lvY106Oovu7OHjMzTPZ4GsBZDwd2JOr4R9q/ncf8o6PJPjP4xJCUlWc4VgkggEAjsIwSUQCAQCFxO9ZimsrwcAH5fn0VR/hGK88o5fSQX2eSAEJHAJ8i2R95ufFOnTpQdPFhvfNMpz2IeXjfCak8lGZnHulzHW/veclm2u7oy2kX5RkF2Mo/n5kHeRThzCr6dh1Xw2PY3kYa/BSoR3yEQCASOIATUNYBYi6s8lJz6/u+KsIlyqRnTJJvMG3ojeXNke6alXnCUD22ua07zGB/WLdpnMwypekKI6tQZ37R/P4BZSB04UCu+SQaQTTzfbAcmG506c9ldg1N/yybm+Xela7meNWo9GTovwsuKGW3UEJW6HzJTYNMLgASyCdtZNED65jF8bvnCafMQOAfxuaUshD2Uh6tsIgRUE0eSJBH/pDDUajXt27d39TAE1RA2URZSjefqm9zKsgFk835NkuQNQFhrPwbd2wH/5pcyjt5wb4c6E0LUpN74pttvJ/zlBeStWUvGc89hqiY0JGDxzRJZAVc2b4eoK/V34sN0zTrOmpy/yHBzI1wbwOiDG4hKPQPIPF6lQKXK5YvyD+BgMgoJidj87aAe0lgzEzQQ8bmlLIQ9lIcrbSIEVBNHlmWMRiNqtVp4ohSCyWQiNzeXgIAAVCrbcRiCq4uwibKoXDhmeS7MLrU4RizeJ9xA0iJJ4O2vtRJPYDshROsYE/Kmzzj71aX9mzQxMZQnJ1OwYUPd8U16c9rz/Bu78ni6GwP/qiAkD877w6ZEFecCq0bsHGp7kzB7k9yjGXnuNEMGvsua9I1kZPxOeEUFo02eRH39FCDxOHLlUOyIo8tYSigjoz93AvfKrK4C1yM+t5SFsIfycKVNFCugFi9ezOLFi0lNTQWgY8eOzJ49m5tvvhmAsrIy/v3vf/P5559TXl7OsGHD+O9//0vz5s1dOGrXoNfrG+SFkiSJtWvXMnLkyMYb1N8YWZY5ffo0/v7+rh6KoBJhE2XjE+RxSVFVCihJ5W3+UaiOmCb/EE96j4oFKuOb/lE7vkkTE4P+1Kk6+zchs1+dQUXlvkznA1V8NtDxjE4NXnZX05tUUUx47llGF5UQVXEGjv9G1G9v8Lj5jahz6Z3zkMjDj2Y210UKXIH43FIWwh7Kw5U2UayEbtGiBS+//DJ79+5lz549DBo0iNtvv51Dhw4BMH36dL755hu+/PJLtm7dSkZGBqNHj3bxqGujT03l/GuLOPvEvzn/2iL0lYKwsbhw4QIPPfQQUVFRaLVaQkNDGTZsGNu3b7fUyczMtAjRxmDixIlIkmT1uOmmm6zqzJ8/nz59+uDp6Wnzwv/rr7+4++67iYyMxMPDgw4dOvDmm2822pgFAoHr6NAn7JIHSr4koMwFtmOaqmMV32Q0XnqWZbN4kiQ8+/S2uYTPHN8k81bEYYavHc7ak2sxynY8VfaQYFrXaagkFWpJbfX8fN/n+XbUt0zsOJFh0cOY2HEi37R9kJFfP0XU7x/z+PHdLEw5xOO5eUQZ9GaxJBsrRyZX+39jI5MdfctV6EcgEAiaPor1QA0fPtzq9fz581m8eDG7du2iRYsWfPTRR6xatYpBgwYBsHTpUjp06MCuXbvo1auXK4ZcC5sZnz76iLAXX8R/9KhG6XPMmDHo9XqWL19Oq1atOHfuHL/88gvZ2dmWOqGhoY3Sd3Vuuukmli5danmt1Wqtjuv1eu644w569+7NRx99VOv8vXv3EhISwsqVK4mMjGTHjh1MmTIFtVrNI4880ujjFwgEVw//5p7ccG8HNn1yBNlUDFR5oOzHNFUnb/Ua+wclCf+77yJs9uxq+zeBsTKZhAQsvkVFRoD5dU5Zjv2m6sh2N7L1SIZEDzGnC885TnjB+UuJHCS/S1nwCsrhz08ua5md05FUVLn+5OFvoVe1cPWIBAKBoEngFAFlMpm4cOECer2ekJCQWl+WrxSj0ciXX35JcXExvXv3Zu/evRgMBm688UZLnfbt2xMVFcXOnTvtCqjy8nLKy8strwsKCiztGyvXxkuShEqlwmQyIcuy1YOyMvNzDSRJqlWuT0+3m/Epc+ZMtHEd0ERG1jt3SZJAp6sV31TVpyzLqFQqZFkmLy+Pbdu2sXnzZgYMGABAVFQU1113ndUYVSoVa9asYeTIkcybN4958+bV6nfp0qVMmDABk8nEK6+8wgcffEBWVhZt27Zl5syZjB07ts5xa7XaWsspq/qXJIm5lZtnLlu2zHKs+hjvv/9+q7m2bNmSHTt2sGbNGh5++GGr98DWe3Y55VXxZEaj0bKW1lTDfvbK1Wo1sixjMpkwGo14eXlZYtOqrqWa9WuW17z2apYba8Rv2CtXqVRIkmSz/HLnVN/YlT6nKpsA18ycqo+xyc3p+uspO3MGjxYtoHLsbXuGcPi3s5w+aPZANW8VzrCpPfAL8cBoNKJPS6Nw7Tr0Z8/gFh6O3+jRaKKjKT92jPxvv7X5WVs5WIy5eRiNRnxuH4GuS2d++e+zZCUf4JyfXC2+qX4kJP47+L/8kfUHGcUZRHhHcHtgF6JPbMK072ta+EUxTecHOz7DIkzk7+G315EklcXbRWXMkzOoiiOz97qqDEl96ahsQmozBJPGG/yikLuMx+gXjXd6uuVzsDrX1LXXhOYkyzI+Pj7X1Jyasp1MJpNdezTVOTV1OwGW71vOmlPN4/a4bAG1detWvvzyS3744QfOnz+Pt7c3arWawsJCdDodgwYNYvjw4YwbNw43t8vrJikpid69e1NWVoa3tzdr164lLi6O/fv3o9Foai39at68OVlZWXbbW7BggU2xcOjQIby9zctFAgMDiYqKIisrC4PBQFmlaFIbDKT0dJJny2QidaTjHqjWu//AUG2H5arMe0ajEX1l4HNZWRnu7u6W96lTp04WIatWq9Fqtej1esuFodfrqaioYMaMGUycONFy4fzvf//jxRdfpHv37pSVlfHKK6/w+eef88YbbxAXF8f27du599578fX15frrrwfMKSQlSaK0tBSAiooKtmzZQvPmzQkICKB///7Mnj2boKAgADw9PTGZTJSXl1uNv+acwHxh63Q6KioqyMnJwc/Pj9LSUptzAnB3d8fd3Z3y8nKrG1aj0eDm5maxZxVarRa1Wk1ZWRkGg4Hjx48jSRLt2rVDo9FYbSwJkJCQgF6v59ixY5YytVpNQkIChYWFpKSkWMpTUlJo3749ubm5nD592lLu4+NDbGws58+ft7peq669M2fOkJNz6Vfw0NBQQkNDSU1NpbCw0FIeGRlJUFAQJ06coKyszFLeqlUrfH19OXz4sNV744w56XS6Jj0ntVpNQUHBNTWnJmmnp56yzKm8rMwyp8KCYksSiehOEaSfOwnnQLVlC+7vvQ8qFcjmSKOcjz5GjopClZZGfZxR6Xl3w0wu6i8SExDDqRu9+D3e9gp2CYmWHi05VXrK4nGSJAmTbOKByAcISM3lnrQTBLkVo9KfQkqeW7nKAKqW3dkUR7LJaaLJ0mTVs6SqTEJh7t88Agkks4/sQsJDyKV5aEoy0XuG4dnvn/hEd+JQUpLZTmeL4exh2rVrhyRJ1/a118TmFBsbS1KVna6ROTVlO8XGxnL06NFrak5N3U4qlYrDhw87bU5FRUU4giTb+km+Dv7880/ee+89YmJi6Nu3L507d8bX19eqjsFg4NChQ+zevZvff/+dIUOGcOeddzakG8D8JT89PZ38/Hy++uorPvzwQ7Zu3cr+/fu5//77rbxJAD169OCGG27glVdesdmeLQ9UZGQkOTk5ljlUKdeSkhJSU1Np2bIlOp0OU0kJx7t1b/AcnEHbvXtQeVovYanuNamoqMDNzQ1JklizZg2TJ0+mtLSUrl270r9/f+666y46depk0wNV3Suza9cuBg0axLJly7jzzjspKysjKCiIn3/+md69e1v6feCBBygtLeXTTz+1Od7PP/8cT09PWrZsSXJyMs899xze3t7s2LHDki2wqs9ly5Yxffp0cnNz6/QQbd++nYEDB/Ltt98ydOhQq/fAVv2GlpeWlnLq1Cmio6PR6XRX9CtLlUc2ODgYd3d38cuRAuZUZZPQ0FDzl+FrYE7Vx9jU7FRlj+bNm1v6BVg5cxfZacuRjRnc9vjTtO7RG31aGqm3DbfvYQK8BvSn+NdttfZvApAlicenuHE+yOypt5fswfL+SGomxE1gZOuRrEtaSkbmbiIqKhjpn0iUVxjSlvlU31PJlrensb1LcvWldzfMQirPR8o/jck3ErnlAKRTWyE/Hck/CqnrfRj9Y6zatWUnk8nExYsXCQkJqTWOa+naa0pzAnNcc1BQkFWGsaY8p6ZsJ1mWuXjxok17NNU5NXU7AWRlZREcHGwZw5XOqaCggMDAQPLz82vpm+o0yDW0fft28vLyeO+99+qs5+7uTufOnencuTOTJ08mKSmJL774gnHjxjWkOzQaDa1btwagW7du7N69mzfffJM777wTvV5PXl6elRfq3Llzdcb3aLVam8sLq36Zrk7VG131UHl60u7PvQ6P/cLbb5PzyQrbaXPVagLvu5fgRx91qC3Jw6PWEj64dPFUVFTg7u6OJEmMGTOGW2+9lW3btrFr1y5++OEH/vOf//Dhhx8yceJEq3OrzpckifT0dEaNGsWMGTMsYjc5OZmSkhKLYKlCr9fTpUsXm2MCuPvuuy3/T0xMpFOnTsTGxrJ161YGDx5sNXZ7z9U5ePAgI0eOZM6cOQwbNszme2DvvWlIuSRJta6FmtdFXeVV5wOcP3/esoSx+gdtdRpa3pCxOKu8+pwcGaOS51RlE5VKdc3MqYqmaKcqe1Qfe1mxwZJEwicoyLyqYe06m8kfAHN809ixhL3wfLX4pksxp8gmltyiIjOwKhlD/ciykTEpu4k6toPpJzdSJVSQ9+DInkpXLJ6qxFGVx0pSUSWdJNkEbYYgaX3APwq63IsUFGs51WK9NoOsmrSXT7Cmnc6dO0dISMg1f+3VV66UORmNRsuXQ1vnNMU5ObP8as/JmfawVy7s1LByo9Fo+VtSs4/LHbu94zVpkIDq27dvQ6pbSEhIICEh4bLOrU7Vsq9u3brh7u7OL7/8wpgxYwA4duwY6enpFk+Js5EkCcmz7kDm6gTceSc5yz+xfVCWCbjrrlpeJWeh0+kYMmQIQ4YMYdasWTz44IPMmTPHSkBVp7i4mBEjRtC7d2+ef/55S3mVG/O7774jIiLC6pyGxLm1atWKZs2acfLkSYuAcpTDhw8zePBgpkyZwsyZMxt0rkAgaDpU6I0Yyo2WNObegUHIRiMlu3fXuX+TqdicdMJ/9Cg8u3Ul76vVGM6a94Fa176QrdlrbCZsqJUQQpaRZRPzsvOIKvyeq5P5TqoUh5UerTZDoJo4AmDfCshLv1RWTTAJBAKBwDU4LQufwWAgKyuLkpISgoODCQwMvKL2nnnmGW6++WaioqIoLCxk1apVbNmyhZ9++gk/Pz8eeOABnnjiCQIDA/H19eXRRx+ld+/eisnAp4mJIezFF238IioT9uKLaKKjr9pY4uLiWLdunc1jsiwzfvx4TCYTK1assPLQxMXFodVqSU9PtySluBzOnDlDdnY2YWF1pyKuyaFDhxg0aBATJkxg/vz5l92/QCBQFqobb6RdejqqqCjYvBl9aioZn38DckuqvDz6XzaR/PFSDGnp9huSJNyr/biTGQBrB6rIKFIT5i3x65n9mOxku5OQ6KcNoY0JMiQT4edPMrqwiKiKCmdO1S4yEvtDRmIqzadQF8aewOGkEUoLbw/GdY6kZZA56Qk3zr0q4xEIBAKB41yRgCosLGTlypV8/vnn/PHHH+j1eks2tRYtWjB06FCmTJnCdddd1+C2z58/z3333UdmZiZ+fn4kJiby008/MWTIEABef/11VCoVY8aMsdpIV0nY+kXUf+wYp4unKndjdnY2d9xxB5MmTSIxMREfHx/27NnDwoULuf32222eO3fuXDZu3MiGDRsoKiqyeJ38/Pzw8fFhxowZTJ8+HZPJRL9+/cjPz2f79u34+voyYcKEWu0VFRUxb948xowZQ2hoKMnJyTz55JO0bt3aavldeno6OTk5pKenYzQa2b9/PwCtW7fG29ubgwcPMmjQIIYNG8YTTzxhCShUq9UEBwc78+1zOpIkERgYaHe5oODqI2yiME6cwOPsWeTycst2D4XeLZATzdk3NYYKLswxJ/xReXubvUy2wnVlGf+x5lUIa0+sZe7OuUiYEz7UFecEIMlG2pw7weN5+ZbMeE6lKutdVduVWfhkWQJMPGmYwprTA5Dlyp5Pm5DIQKWSeG9rMq+MSeSO7vVnanXacMU9ojiETZSFsIfycKVNGpxEoopFixYxf/58YmNjGT58OD169CA8PBwPDw9ycnI4ePAg27ZtY926dfTs2ZO3336bNm3aOHv8V0RBQQF+fn42A8XKyso4deqUJYlEU6C8vJy5c+eyYcMGkpOTMRgMREZGcscdd/Dss8/i4eEBmC+4tWvXMnLkSAYOHMjWrVtrtbV06VImTpyILMu89dZbLF68mJSUFPz9/enatSvPPvss/fv3r3VeaWkpI0eOZN++feTl5REeHs7QoUN54YUXrNKaT5w4keXLl9c6f/PmzQwcOJC5c+fazJgYHR1NaiNsRtwU7S0QNFlatICzZ5FDQzkaEAgmEzkB7dgbdxuGonX4lpTT78QZAv85heApUyj4aYNdb77/6FGkFaQxYt0Iu96mWsgyKuCbM5nO8zhVxi7JyGxp8RCG4lyaG8+RqwnjgLYzsQV7MOWmcUYO5nPjQNLkuvfjU0mw6d8DiWnm5ZzxCQQCgaBe6tIG1blsAXX33Xczc+ZMOnbsWGe98vJyli5dikajYdKkSZfTVaNxLQgoWZbR6/VoNBrxq8gV4Ex7m0wmzpw5Q4sWLewGQwquLsImykJu0QLp7FmMfn4cj2gBRiPngrvyV+vrqCjZSEh+Md1PXyBo0iRC/v0EAPq0NPK+Wk1e2nFOaPP5s0cgPq3aMKrNKNYcX8PSQ0ttep2kyiQQqsr055UpIZh3MYeRRcWXN4EaeyqVRA8itUjF4RJ/3snrTTqhlzxLl4laJTGlfyueuqn9FbTiOOIeUR7CJspC2EN5NIZNHBVQl72E77PPPnOonlarZerUqZfbjcABHN30S3B1kGWZnJycWok3BK5D2ESZyEajZWmewd3bsgeU1lABsozh7FlLXU10NNtHtGTuzuVISMilMtKh7Xx88GO0aq3dJXsSMv2KS2lj0JPh5kZ4RQWjC4sb5nmqw7v0mXEgG46ZEwI5cxGgLMucyS11Yov19yfuEWUhbKIshD2Uhytt4rQkEtU5c+YMYWFhDqcCFAgEAsHfD0mttqQoN7h7WTLw6SqMtRJEpBWkMXfnXJvL9MqMZbXKLH3IMm0Meh7PzXd0VDYz4x0p9edfhzuSnhyGyVRfhNWVI0kSLQI8GrkXgUAgEFwOjSKgbrnlFrZt24afnx8Aubm5nDhxgh49ejRGdwKBQCBogqg8PGp4oMy7zOsqPVBVCSLAnCRCauguS5XL9kYXOrpUT6Kg4z84k3WOM3IwB4KHk6ONJLOgjC1Hz5tF0+Wtem8wsixz51VMIiEQCAQCx2kUAeXm5mYRT2DO6PbQQw+xd6/jG9EKHMfd3d3VQxBUQ5IkQkNDRUyaghA2UShqtXm7h+eew+DuhSybU5brKkxoZj7Ofy+uJSM1g3DvcE7knbCbJEIlqegY2JFD2Unm/ZywjnWqe7mehCypkGWZt32m8cbe6yy5KuQMGagjjbqTkQCVSkKWZV4Zk3hVE0iIe0R5CJsoC2EP5eFKmzSKgGrRogXbtm3j+uuvB8y7B+v1+sbo6m+PJElCQCkMlUpFaGjdGbYEVxdhE2UhVXv2Hz2K0n37MBzzssRAXXj6bh4tegfpkDnuSELCKNuP9ZSAHuV6Xs4zsYYiMtzU9cY6VfmRdmuuY09JKF8YB5JaZr5GGtvJpKp8A0wydI70Iy7M/INjYXkFLQI8uLN75FXPvifuEeUhbKIshD2Uhytt0igC6p133uGWW26hd+/e9OjRg6SkJKKiohqjq789sixTXl6OVqsVv4ooBKPRSGpqKjExMSIOUCEImyiL6h4iCUCtQu/mAZWxTC/nrMTk7mBKckA2GRl9dCtRBj2P19mvVPkAZJmnKqbwVdnlbxLuKFWeJZNJZmC7YLx17i4TSvYQ94jyEDZRFsIeysOVNnGKgOrTpw8//vijJd1fVFQU+/btY+3atSQlJdG2bVteeuklZ3QlsIHJ5PgXDcHVobCw0NVDENRA2EQ5yDNnknHiBGFt2iABpsIiyt1UYATUKgzu9jLqmX8kUkmqSs+UWTzNu5hDlMH+KgfzVrYSn1XcgK9Uymk5mP85sBfT5VAlDJXiWWoI4h5RHsImykLYQ3m4yiZOEVC7du2irKzMKl+6u7s7N910E3v37uWRRx5xRjcCgUAguAaQJ0/mQlISoQkJAJiKijCozT8EGT3cMGH7RyFJkugX3o82AW3IKMog/GKKxfNUqw/MS/FMqJCo9DYZne9tkjAn7atajtc7tpnihZJAIBAIrowrElBjx46le/fuSJLE+fPnCQkJsTpeXFzMq6++yiuvvHJFgxQIBALBtUdaQRrrU9aTcPYIxpBOABTpDHXs6STRRhfM47l5kHcRMk+BHc+TLEOGHMR6U1+ne5sGtQ8h1Ne84XZT8S4JBAKBwHlckYCKiori22+/RZZlOnXqRFBQEJ06daJTp0507tyZY8eOERYW5qyxCuyg0WgaVF+SJNauXcvIkSMbZ0B/cyRJIjIyUsSkKQhhE2UhSRIHOch/1v8HSZJ4scTTkkAi273I7nmybGL01negwgTI5n2a7GBCxXpTXxZW3HXl48U6O94d12B6cXGPKA9hE2Uh7KE8XGkT1ZWcvGjRIn777Tfc3NzYtWsXH3zwAX379uXkyZPMmTOHlStXsnDhQmeNtUmSd66EnWuT2fDhQXauTSbvXIlT25ckCTc3N8vFc+HCBR566CGioqLQarWEhoYybNgwtm/fbjknMzOTm2++2anjqM6aNWsYOnQoQUFBSJLE/v37a9UpKyvj4YcfJigoCG9vb8aMGcO5c+csx//66y/uvvtuIiMj8fDwoEOHDrz55pt2+9y+fTtubm507ty5EWbUMFQqFUFBQahUV3R7CZyIsImyyDi5l+Vb5hOYV45RNuJmuiSgSnQV3N3+blSSCrWkvvSMxLyL2UQZDCAbrcRTTX+VLIOEzP+MAxs8tqo/w50j/binRxT39Ijitk7hTOnfik3/HnhNiicQ94gSETZRFsIeysOVNnFKDFRxcbEllfbtt9/ujCavCY7syGDziqNW6ab2bUjjhns70KGPczxzsixTVlaGTqdDkiTGjBmDXq9n+fLltGrVinPnzvHLL7+QnZ1tOaexUz4WFxfTr18/xo0bx+TJk23WmT59Ot999x1ffvklfn5+PPLII4wePdoi9Pbu3UtISAgrV64kMjKSHTt2MGXKFNRqda2Yury8PO677z4GDx5sJcJchdFo5MSJE7Rp00Zk6lEIwibKwu/6Ifx8Pp9zAW7c+Hp73EzeFgFVppPxdPPkm5HfsObEGjJyjhNecJ7RWalE2dsQVwZTZXY9c9Jzc8yTo8v2qid++LvGMIl7RHkImygLYQ/l4UqbOEVA/R32IZJlmQq949nu8s+XsHnFUfN+IlU/j1Y+b15xhOAoH/yCPRxqy02jqtM9KVduWpKXl8e2bdvYsmULAwaYg6Wjo6Pp0aOHVf3qS/jmzp3LvHnzarW5dOlSJk6ciMlk4pVXXuH9998nKyuLtm3bMmvWLMaOHWt3PPfeey8AqampNo/n5+fz0UcfsWrVKgYNGmTpr0OHDuzatYtevXoxadIkq3NatWrFzp07WbNmTS0BNXXqVO655x7UajXr1q2zO66rSVlZmauHIKiBsIlyMJqq7ekky6jwQpbNAqpYV0FGUQZRvlE8rmoGO+YBktnrZAcTkCKHcUSO5owDGfZq7sP0dxVNNRH3iPIQNlEWwh7Kw1U2uSIBtWjRIrp27crAgQMpKSlh8eLFZGZmEh8fz6hRo/Dz83PWOF1Ohd7E+9O2OqUtWYb/vfiHw/WnvDkAd239ytrb2xtvb2/WrVtHr1690Gq19Z4zY8YMpk6dann96aefMnv2bLp37w7AggULWLlyJUuWLKFNmzb8+uuvjB8/nuDgYItIayh79+7FYDBw4403Wsrat29PVFQUO3fupFevXjbPy8/PJzAw0Kps6dKlpKSksHLlSl588cXLGo9AILi6qFWXPs80FWB084JKD1SpzkS4dzhkJ8P6R+uMc6pCRsXPpu51xjtV/QSl1H2YBAKBQNB0uGIB9e233wJw9913c+DAAfz8/Pjvf//Lww8/zH//+18mTJjglIEK6sfNzY1ly5YxefJklixZQteuXRkwYAB33XUXiYmJNs+pEl1gTkc/c+ZMli9fTnx8POXl5bz00kts3LiR3r17A2ZP0G+//cZ777132QIqKysLjUaDv7+/VXnz5s3Jysqyec6OHTv43//+x3fffWcpO3HiBE8//TTbtm3Dza1R9oQWCASNgIfaA8gHwLMc9O5eyCbz8tsSXQWj24yGPz7mkuyxj6PxTnf3iGJK/1ZCMAkEAoHgirmib50XLlygefPmpKam0rZtW77++msASkpKeO+993jooYcsSQyaOm4aFVPedFww/PFNCn9tOm3zx1NJBZ0GRdJjeCuH+66L6p6mMWPGcOutt7Jt2zZ27drFDz/8wMKFC/nwww+ZOHGi3TbS09MZOXIkM2bMYNy4cQCcPHmSkpIShgwZYlVXr9fTpUsXh8buDA4ePMjtt9/OnDlzGDp0KGBe93rPPfcwb9482rZte9XG4ggqlYpWrVqJQFMFIWyiLC55oCQ8yqHcXYd5F12YEZJA1Ia5kHXQrvdJls0roqvv8WRryV7VHk3XauY8ZyLuEeUhbKIshD2UhyttckUCKjAwkNzcXHbu3Mmjjz5qKff09GT69Om4ubnx4osvXhMCSpIkh5bRVdHx+gj++uW07YMydOwf0aD26hpXzcA5nU7HkCFDGDJkCLNmzeLBBx9kzpw5dgVUcXExI0aMoHfv3jz//POW8qIi85Ka7777joiICKtzHFkeaI/Q0FD0ej15eXlWXqhz587VSnBx+PBhBg8ezJQpU5g5c6alvLCwkD179rBv3z5LTJTJZEKWZdzc3NiwYYMlvupqI0mS1abSAtcjbKIsqvxKQR5BhEv+lGnMcbRuKolRSd9QX4pyGUiWI/jZ1K3OeCfhdXIccY8oD2ETZSHsoTxcaZMrkmyDBg3iySefZNGiReTn59c6fvPNN5OUlHQlXTRZ/Jt7csO9HZAkkFRS5bP519Ab7u2Af4inU/qRZZmSkhJLIglbxMXFUVxsO3uVLMuMHz8ek8nEihUrrJJVxMXFodVqSU9Pp3Xr1laPyMjL/zW3W7duuLu788svv1jKjh07Rnp6umWpIMChQ4e44YYbmDBhAvPnz7dqw9fXl6SkJPbv3295TJ06lXbt2rF//3569ux52eO7UoxGI0lJSRiN9oPeBVcXYRNlUfVppZbUNDN6Uu5m/tzxVMu1UpTXOlc2Z9p70PBvFlbcVUs8SZiTRPxnbCIvjU4Q4slBxD2iPIRNlIWwh/JwpU2uOAbqn//8J1FRUWzevJmTJ08yYsQIi0fk22+/JSgoyCkDbYp06BNGWGs/jmzPpDC7FJ8gDzr0DXOaeKpJdnY2d9xxB5MmTSIxMREfHx/27NnDwoUL7aaXnzt3Lhs3bmTDhg0UFRVZvE5+fn74+PgwY8YMpk+fjslkol+/fuTn57N9+3Z8fX3txrfl5OSQnp5ORkYGYBZHYPY8hYaG4ufnxwMPPMATTzxBYGAgvr6+PProo/Tu3duSQOLgwYMMGjSIYcOG8cQTT1hio9RqNcHBwahUKuLj4636DQkJQafT1Sp3BeIDVnkImygTVUkZerUMJvBws20jGQmT7FiKcuF1unzEPaI8hE2UhbCH8nCVTa5IQDVv3tySNtpoNDJt2jQmTZpE27ZtKS4u5siRI3/7zGj+IZ70HhV7Vfry9vamZ8+evP766yQnJ2MwGIiMjGTy5Mk8++yzNs/ZunUrRUVF9OnTx6q8Ko35Cy+8QHBwMAsWLCAlJQV/f3+6du1qtz2A9evXc//991te33WXOTPWnDlzmDt3LgCvv/46KpWKMWPGUF5ezrBhw/jvf/9rOeerr77iwoULrFy5kpUrV1rKo6Oj7aZHFwgETQxTBeqCfCpURjCBt1t57SpIpEsRHDBG2k1RLmKdBAKBQHA1keS61n5dBvv372fNmjXk5ubSs2dPxo8f78zmnUpBQQF+fn7k5+fXWkNZVlbGqVOnaNmyJTqdzkUjrB9ZliktLcXDw6POvaIEdeNMe1e5lBMSEsRmewpB2ERZyC1aIJ09i+wjMfve9jTLv40Kw2G6BGYzqPlhq7oVsor3jbfVmaK8dYg3H97XXXidrgBxjygPYRNlIeyhPBrDJnVpg+o4Pfdz586d6dy5s7ObFdSBkgXe3xGVSkW7du1Eph4FIWyiML76GHnFWJBMuJW7YaIUAH/3IqtqjqQoV6skhsQ1F+LpChH3iPIQNlEWwh7Kw5U2EVfBNYDwPCkPjUbj6iEIaiBsoiAKd0CIG4Zmajz1XsiVm+j6uRcC5linClmFCanOeCcwe+HvFMv2nIK4R5SHsImyEPZQHq6yiRBQ1wClpaWuHoKgGiaTiaSkJEwm+5nEBFcXYRNlIeelgSxTqlKhM1wSUD7uemTgvNSM9423MUj/Gl8Zbe+/p1ZJqCrjnoT36coR94jyEDZRFsIeysOVNnH6Er7jx4/TqlUr3Nyc3rRAIBAIrgX8okCCUklCU+GFXjL/COTtpscoq1hd0dtuzJMExIZ4MySuOXd2jxTiSSAQCARXHaernA4dOnDkyBHatm3r7KYFAoFAcC2Q7At7y5F0KtxMnqAuBCR0KgMyUp0xT5KESBghEAgEApfidAHl5KR+AoFAILjGkOa/jnS2lEBfFdKNWqAQN0mDLNmPeaqeqlyIJ4FAIBC4ErHO7hrAw8PD1UMQVEOlUpGQkCAy9SgIYRNlIqs1IFf+GVJ7MEj/mt2EEbEiVXmjIu4R5SFsoiyEPZSHK20iroJrAOH1Ux56vd7VQxDUQNhEeciASWXeuyNf8rcrnkSq8quDuEeUh7CJshD2UB6usokQUNcAZWVlrh6CoBomk4ljx46JTD0KQthEmZiQMVbuwlCmti+ORKryxkfcI8pD2ERZCHsoD1faRAiovyGSJLFu3TpXD0MgEPzNMZpMVEjmP3xFbrUFlAQiVblAIBAIFIcQUI1MbuZZtq1axrdvLmTbqmXkZp5t1P4uXLjAQw89RFRUFFqtltDQUIYNG8b27dstdTIzM7n55psbpX+DwcBTTz1FQkICXl5ehIeHc99995GRkWFVLycnh3/84x/4+vri7+/PAw88QFFRkc02T548iY+PD/7+/rWOvfHGG7Rr1w4PDw8iIyOZPn268MgJBAqnVG8EQJbBKBkAyHPzqVUvNsSbTf8eyB3C+yQQCAQCBSGSSDQiBzf/zIb33jKnjpJlkCR2r1/N0KnTiB94Y6P0OWbMGPR6PcuXL6dVq1acO3eOX375hezsbEud0FDbcQbOoKSkhD///JNZs2bRqVMncnNzmTZtGiNGjGDPnj2Wev/4xz/IzMzk559/xmAwcP/99zNlyhRWrVpl1Z7BYODuu+/m+uuvZ8eOHVbHVq1axdNPP83HH39Mnz59OH78OBMnTkSSJBYtWtRoc3QEtVrt0v4FtRE2UQanLhajKzPgCSDLGKVykCHX3VpAibinq4+4R5SHsImyEPZQHq6yidMF1FNPPUVQUJCzm3U5sixTUV7ucP28rEw2vPeWOcFDVZKHyucNS96kectY/JuHOdSWm1aLJEk2j0mShKenp7nPvDy2bdvGli1bGDBgAADR0dH06NGj1jlr165l5MiRzJ07l3nz5tVqd+nSpUycOBGTycQrr7zC+++/T1ZWFm3btmXWrFmMHTvW5nj8/Pz4+eefrcreeecdevToQXp6OlFRURw5coQff/yR3bt30717dwDefvttbrnlFl599VXCw8Mt586cOZP27dszePDgWgJqx44d9O3bl3vuuQeAmJgY7r77bn7//Xe77+XVQK1Wk5CQ4NIxCKwRNlEOX+w5zX3VXptk8ya6uTWW8Im4p6uLuEeUh7CJshD2UB6utInTBdSCBQuc3aQiqCgv560JtkVDQ5FlmU+efNTh+o8t/wp3nc5uWyaTCZVKhbe3N97e3qxbt45evXqh1WrrbXvGjBlMnTrV8vrTTz9l9uzZFmGzYMECVq5cyZIlS2jTpg2//vor48ePJzg42CLS6iM/Px9JkixL8Hbu3Im/v7+lD4Abb7wRlUrF77//zqhRowDYtGkTX375Jfv372fNmjW12u3Tpw8rV67kjz/+oEePHqSkpPD9999z7733OjSuxkKWZQoLC/Hx8bErfAVXF2ET5XAmt9Tyf0mWgAoActzMPwSJ/Z5cg7hHlIewibIQ9lAerrSJiIG6Biiv9Iy5ubmxbNkyli9fjr+/P3379uXZZ5/lwIEDds/19vYmNDSU0NBQUlNTmTlzJkuXLiU+Pp7y8nJeeuklPv74Y4YNG0arVq2YOHEi48eP57333nNobGVlZTz11FPcfffd+Pr6ApCVlUVISIhVPTc3NwIDA8nKygIgOzubiRMnsmzZMst5Nbnnnnt4/vnn6devH+7u7sTGxjJw4ECeffZZh8bWWJhMJlJSUkSmHgUhbKIcWgR4cNErgEzvIIo9NOZCSUuJ2g0J6BzlL+KeXIC4R5SHsImyEPZQHq60iYiBchA3rZbHln/lcP3tX3zKnz98jWzDqJJKRdebb6fvuH843LejjBkzhltvvZVt27axa9cufvjhBxYuXMiHH37IxIkT7Z6Xnp7OyJEjmTFjBuPGjQPMyRtKSkoYMmSIVV29Xk+XLl3qHYvBYGDcuHHIsszixYsdngPA5MmTueeee+jfv7/dOlu2bOGll17iv//9Lz179uTkyZNMmzaNF154gVmzZjWoP4FAcHUY1z2SwRPfwCTDv3Neh3yQJE+QzJ6n18d1Fp4ngUAgECgapwioPn368OOPP9r1FFwLSJJkdxmdLToNuYk/v19n+6As02nozQ1qryHodDqGDBnCkCFDmDVrFg8++CBz5syxK6CKi4sZMWIEvXv35vnnn7eUV2XF++6774iIiLA6p77lgVXiKS0tjU2bNlldG6GhoZw/f96qfkVFBTk5OZYEF5s2bWL9+vW8+uqrwKWlim5ubrz//vtMmjSJWbNmce+99/Lggw8CkJCQQHFxMVOmTOG5554Tu4ULBAqkZTMvFoyO5+nVB6HC/BmoknQiXblAIBAImgxO+Ya5a9cum6mjCwoKeOqpp5zRRZMjICyCoVOnIUkSkkqFJKkqnyWGTp1GQGh4/Y04SH3rPuPi4iguLrZ5TJZlxo8fj8lkYsWKFVZtxcXFodVqSU9Pp3Xr1laPyEj7y2uqxNOJEyfYuHFjraQivXv3Ji8vj71791rKNm3ahMlkomfPnoA5Tmr//v2Wx/PPP4+Pjw/79++3xEiVlJTUEklV2VjkqsQdLkLXSOJYcPkImyiHsV1b8ES/YKgwL+FTSVqxbE8BiHtEeQibKAthD+XhKptckQdq7NixdO/eHUmSOH/+fK24luLiYl599VVeeeWVKxpkUyV+4I1EtI/j4KYN5F84j19wCPGDhjpdPHl4eADmuKE77riDSZMmkZiYiI+PD3v27GHhwoXcfvvtNs+fO3cuGzduZMOGDRQVFVm8Tn5+fvj4+DBjxgymT5+OyWSiX79+5Ofns337dnx9fZkwYUKt9gwGA2PHjuXPP//k22+/xWg0WuKaAgMD0Wg0dOjQgZtuuonJkyezZMkSDAYDjzzyCHfddZclA1+HDh2s2t2zZw8qlYr4+HhL2fDhw1m0aBFdunSxLOGbNWsWw4cPd2mqUbVaTfv27V3Wv6A2wibKQq1WEx8bRZLRfJ9q3HXC8+RixD2iPIRNlIWwh/JwpU2uSEBFRUXx7bffIssynTp1IigoiE6dOtGpUyc6d+7MsWPHCAtzLFX3tUpAaDjX3zOx0dqXZRmj0Yharcbb25uePXvy+uuvk5ycjMFgIDIyksmTJ9tNrLB161aKioro06ePVXlVGvMXXniB4OBgFixYQEpKCv7+/nTt2tVue2fPnmX9+vUAdO7c2erY5s2bGThwIGDO9vfII48wePBgVCoVY8aM4a233mrQ3GfOnIkkScycOZOzZ88SHBzM8OHDmT9/foPacTYmk4nc3FwCAgLEMkKFIGyiLOQpU2h7IpVmp5PZ0K0D7u6Ox3kKGgdxjygPYRNlIeyhPFxpE0l2wlonjUbD9u3bycjIYN++fezfv5+kpCRMJhPz58+37NOjNAoKCvDz8yM/P79W/FZZWRmnTp2iZcuWinbZyrJMaWkpHh4eIq3mFeBMexuNRpKSkkhISBCb7ikEYRNlIbdogXT2LIUeHrw/fBDNm/di/FszXT2svzXiHlEewibKQthDeTSGTerSBtVxShKJ4uJi3N3dAewuFRMIBAKBwBrz73cenmL5nkAgEAiaDk7xd1WJJ4FAIBAIGopXgI+rhyAQCAQCgcNckQdq0aJFdO3alYEDB1JSUsLixYvJzMwkPj6eUaNG4efn56xxCupArMVVHj4+4guh0hA2USoqfAL9XT0IAeIeUSLCJspC2EN5uMomV/TNe9GiRfj7+wNw9913884777Bx40b+9a9/ER4ezvLly50xRkEdSJKETqcT8U8KQq1WExsbK9ZIKwhhE2Vh9Wml8sI7UHwpcTXiHlEewibKQthDebjSJlckoC5cuEDz5s1JTU2lbdu2nDp1iv3793Px4kVefPFFHnroIX766SdnjVVgA1mWMRgMLt/3SHAJk8lEVlYWJpPJ1UMRVCJsoiyqf1pJkje+QWK1gqsR94jyEDZRFsIeysOVNrkiARUYGEhubi6//PILjz76qKXc09OT6dOn88orr/Diiy9e8SAFdWMwGFw9BEE1ZFkmKytLiFoFIWyiXCSVN77NA109jL894h5RHsImykLYQ3m40iZXJKAGDRrEk08+yaJFi8jPz691/OabbyYpKemy2l6wYAHXXXcdPj4+hISEMHLkSI4dO2ZVZ+DAgUiSZPWYOnXqZfUnEAgEgquPJHnh00wIKIFAIBA0Ha44BsrNzY2oqCg2b97M2rVrMRqNluPffvstQUFBl9X21q1befjhh9m1axc///wzBoOBoUOHUlxcbFVv8uTJZGZmWh4LFy68kikJBAKB4CqiljW4+dnfa0MgEAgEAqVxRVn4mjdvzrp16wDzZlbTpk1j0qRJtG3bluLiYo4cOXLZS/h+/PFHq9fLli0jJCSEvXv30r9/f0u5p6cnoaGhlz2HawER0KgsJEkiMDBQJPZQEMImCuOuu0hav5YyFbjJalQajatH9LdH3CPKQ9hEWQh7KA9X2sQpG+mC+Uv8O++8w4MPPsiaNWvIzc3l6aefZvz48U5pv2qJYGCg9VKPTz/9lJUrVxIaGsrw4cOZNWsWnp6eNtsoLy+nvLzc8rqgoAAwi78qz5kkSahUKkwmE7IsWx5Vx2yts2xoeUNwpG1N5ZcPWZadNkZXz8kV5bIsW66FqtTwNQMT7ZWr1WpkWbaUR0REWPqqupZq1q9ZXvPaq1le3btbV7lKpUKSJJvlVzKnusbeFOYUERGBSqW6puZUNcYmN6dXXmFjViomQxm+ptr1m+Sc6ilvCnOKjIwEcHiuTWFOTd1OUVFRVt9RroU5NWU72bNHU55TU7dT1fetmt/jL3dONY/b47IFVHp6OlFRUbXKO3fuTOfOnWuVnz17loiIiMvqy2Qy8fjjj9O3b1/i4+Mt5ffccw/R0dGEh4dz4MABnnrqKY4dO8aaNWtstrNgwQLmzZtXq/zQoUN4e3sDZoEWFRVFVlYWBoOBsrIyZFnG3d0dd3d3ysvLrS4EjUaDm5ubpV4VWq0WtVpNaWmpVV9VKcdrlnt4eCDLMmVlZVblnp6emEwmK+EnSRIeHh4YjUb0ej1GoxG1Wo1KpUKn01FRUWGVWEKtVqPVai11q7A1p5tuuonOnTvz1ltv2Z3TgAEDSEhI4D//+Y9T5nTTTTeRmJjIO++8Y5lTFc6YkyN2Kisrw2AwcPz4cSRJol27dmg0mloxfAkJCej1eqt4PLVaTUJCAoWFhaSkpCDLMsXFxQQFBdGhQwdyc3M5ffq0pb6Pjw+xsbGcP3+erKwsS3nVtXfmzBlycnIs5aGhoYSGhpKamkphYaGlPDIykqCgIE6cOGH1Hrdq1QpfX18OHz5s9d5cyZyq0Ol0tG/fvsnNSZZlSktL6dWrF0VFRdfEnKDp2slkMmGqMN/nbibZaq5NdU5VNFU7ybKMr68vUVFRHDp06JqYEzRtO7Vs2ZL8/Hzy8vKs/p415Tk1ZTtFRERQWlpKcXGx1Xeypjynpm6nkJAQ9u3bh1qttnihrnRORUVFOIIkX6Y7oXnz5owcOZIHH3yQ6667zmad/Px8vvjiC958802mTJnCY489djld8dBDD/HDDz/w22+/0aJFC7v1Nm3axODBgzl58iSxsbG1jtvyQEVGRpKTk4Ovr3kNfpVyLSkpITU1lZYtW6LT6SzHlOatqRIoVSKmqjwrK4v58+fz/fffc/bsWUJCQujcuTPTpk1j8ODBdtvPycnB3d0dX19fZFnmhhtuoFOnTrzxxhuW+tnZ2bi7u1/25mU1+6zq480337Q718zMTP7973+zadMmcnJyaNasGU888QT//ve/LfWmT59Oeno6a9asabCdSktLOXXqFNHR0eh0uiv6lcVoNHLo0CE6duyIRqMRvxwpYE5VNklMTLSMp6nPqfoYm5qdSgoLeP+f9wIQwnXcs2pmk59TfeVKn1PVPZKQkFBrOUxTnVNdY28Kc5JlmYMHDxIXF2e1VL8pz6kp28lkMnHo0CGb9miqc2rqdpJlmQMHDtCxY0eLTa50TgUFBQQGBpKfn2/RBra4bA/U4cOHmT9/PkOGDEGn09GtWzfCw8PR6XTk5uZy+PBhDh06RNeuXVm4cCG33HLLZfXzyCOP8O233/Lrr7/WKZ4AevbsCWBXQGm1WrRaba1ytVpdK46o6o2uelRR8w/L5ZY3BEfarj7OtLQ0+vbti7+/P//5z39ISEjAYDDw008/8cgjj3D06NFa7ej1ejQajVXSj6r2ar4Hl5sYpK45Ve/LFlOnTsVgMLBx40YCAgI4d+4ceXl5VvV3797NrbfeWmc7dZVLklTrWrAXX2arvOr8mv+vujlr0tDyhozFWeXV5+HIGJU8p+rX2LUypyqa2pxK8/PMBZIWibJrYk6OlCt9TtU/Bx1tR+lzupxypcyp6ouere8oDWkHlDMnZ5a7ck5Xag975cJODSs3Go02v7s1dIzVy+0drzUeh2rZICgoiEWLFpGZmck777xDmzZtuHjxIidOnADgH//4B3v37mXnzp2XJZ5kWeaRRx5h7dq1bNq0iZYtW9Z7zv79+wEICwtrcH/XEv/617+QJIk//viDMWPG0LZtWzp27MgTTzzBrl27AHMK+EceeYTHH3+cZs2aMWzYMEv5448/DsDEiRPZunUrb775puUPa2pqqlUdMKv2hQsX0rp1a7RaLVFRUcyfP99y/Mcff6Rfv374+/sTFBTEbbfdRnJycoPmVF5ezqlTp9i5cyd6vZ6uXbsyaNAgAPR6Pe7u7uzYsYPnnnsOSZLo1avXFbyDAoGgMfEfeAOPrPmJ+7/fCJS4ejgCgUAgEDSIK04i4eHhwdixYxk7dqwzxmPh4YcfZtWqVXz99df4+PhY1kP6+fnh4eFBcnIyq1at4pZbbiEoKIgDBw4wffp0+vfvT2JiolPHonTc3d0t/8/JyeHHH39k/vz5eHl51arr7+9v+f/y5ct56KGH2L59u81233zzTY4fP058fDzPP/88AMHBwbXqPfPMM3zwwQe8/vrr9OvXj8zMTCsvV3FxMU888QSJiYkUFRUxe/ZsRo0axf79++3+0lCdiooKbrrpJm644Qb8/Px45513OH78OKtWrcLb2xs3Nze2b99Oz5492b9/P82bN7csu3QFkiQRGhrqFO+jwDkImygLqagYTUUF+gojsqq0/hMEjY64R5SHsImyEPZQHq60idOy8IH5i7KtL+2Xw+LFiwGzR6Q6S5cuZeLEiWg0GjZu3Mgbb7xBcXExkZGRjBkzhpkzZ9pozYksWmR+1EfXrrB+vXXZiBHw55/1n/vEE+aHA0iSZCWgTp48iSzLtG/fvt5z27RpU+e+WX5+fmg0mjpTxRcWFvLmm2/yzjvvMGHCBABiY2Pp16+fpc6YMWOszvn4448JDg7m8OHDVklB7DFt2jQGDRpEp06dAHj11VeJiYlh8eLF/N///R8qlYqMjAyCgoIsdVyJSqX626fWVxrCJspCrloPL0nIbkJAKQFxjygPYRNlIeyhPFxpE6cKqP79+7N3717AvGzrpptuuuy26ku+EBkZydatWy+7/cumoADOnq2/XmU6WCsuXHDs3Mr06o4gyzLl5eVotdoGJ63o1q2bw3XtceTIEcrLy60SU9TkxIkTzJ49m99//52LFy9aAvXS09PrFVD79+9n5cqVliQWVfj5+ZGZmWl5vW/fPkWIJzCvyU1NTSUmJsbhtbSCxkXYRFlcCihWgXt5nXUFVwdxjygPYRNlIeyhPFxpE6cKqOpZNp599lkrATV48GB++eUXZ3bnGnx9wZF07DaWuhEc7Ni5dWT9sEX1971NmzZIklQrUYQtnOEt9PDwqLfO8OHDiY6O5oMPPiA8PByTyUR8fLxVunJ7rF69mrZt21p52YqLizl+/LhVVsf9+/fXElBpaWk88sgjnDlzBoPBwPfff28z9X5jUD1NqEAZCJsoB4sHCgk09X8OCK4O4h5RHsImykLYQ3m4yiZOFVDV1yDW9IRUz93epGnA8rpa1FzS1wgEBgYybNgw3n33XR577LFaIikvL88qDqo+NBpNnZuKtWnTBg8PD3755RcefPDBWsezs7M5duwYH3zwAddffz0Av/32m8P95+bmUlxcbFX2/vvvAzB69GhLWVJSktVSQb1ezy233MK7777LwIEDyc3Ntez1JRAIXEvVjz4SEng4tmmhQCAQCARK4bKz8NniwoULrFu3jlOnTtlNUy1ofN59912MRiM9evRg9erVnDhxgiNHjvDWW2/Ru3fvBrUVExPD77//TmpqqtXyuyp0Oh1PPfUUTz75JJ988gnJycns2rWLjz76CICAgACCgoJ4//33OXnyJJs2beKJBgjQnj17cuTIEV5//XVOnDjB22+/zTPPPMO7775LQECApZ7JZOLYsWNkZGSQn5/P2rVr6dWrlyWGLiAgwMqLJRAIXIcsV/NAuS7fi0AgEAgEl4VTPVBPPPEE33zzDQsWLCAlJYXevXvTtm1b2rZtS3Z2tjO7ElRDo9FYvW7VqhV//vkn8+fP59///jeZmZkEBwfTrVs3S3IOR5kxYwYTJkwgLi7OstlsTWbNmoWbmxuzZ88mIyODsLAwpk6dCpgD/D7//HMee+wx4uPjadeuHW+99Vat5CD2GD9+POnp6bz11lvMmTOHhIQE1qxZUys1/osvvshTTz3FSy+9xIwZM9Bqtf/P3pnHR1Wd//99Z7LvCwlZSIBA2INsLoCiuOBSN3BrrbRatb/a1qqo1bZqxfqttVVcWlt3bWltrQIurW1RwQ0QRUBC2MKWhCSQfV8mmXt/f0xmyDKT9Sb3THjer1dek5x755zn5DP3zjzzPOc5nHLKKX2aq1lomkZaWpp8aaAQook66E5nhxQ+W3jPacDC4CPXiHqIJmoheqiHlZpoRl+qDvSRQ4cOsXPnTs/P3/72t8Eaql/U1NQQHR3tdbfhpqYmDh06xNixYy0tiS30j9///vfs27eP3//+9zidTqqrq4mLi/N5vugtCENDbUUZjEojsrGJ+tBY3v6/S7j2jj9bbZYgCIIgdOsbtMe0FL78/Hz++te/8sYbb3g2SR07diyXXHIJP/vZz5RznoYLhmHQ2NjYp+p7JwLXX389Bw4cYNq0acyZM4d9+/YN2dhOp5M9e/Z0u3ZMGFpEE3Woq2ifjWAQIGsTlUCuEfUQTdRC9FAPKzUxJYXv6aefZtmyZYSFhaFpGrW1tcyZM4cXX3zxhNvU1grEeepKZGQk7733nmXjNzU1WTa24B3RRA3qKsr5fPY0Aowooo2xBIRHW22S0IZcI+ohmqiF6KEeVmliSgTqV7/6Fffeey9VVVVUV1ezb98+Tj/9dObOndunimuCIAjC8KauopyDKSPZPyaLshGjCYwUB0oQBEHwL0yJQNXV1XH99ddjs7n8sfHjx7NixQri4uK488472bx5sxnDCIIgCH5OXaVrSwvNFkFgSz3BkSMttkgQBEEQ+oYpEajp06ezadOmLu1XX301O3bsMGMIoRuCg4OtNkFoh81mIyMjw/OFgmA9ook6uNdAabYINL2esDCJQKmAXCPqIZqoheihHlZqYkoE6vHHH2fJkiUEBQVx9dVXe8oJbt68mczMTDOGEHygaRp2u91qM4R2aJrWbeUWYegRTdShrqKcxIpqgoNKiao+TFjwN6w2SUCuERURTdRC9FAPKzUxxWU7/fTTefXVV7n77rsZOXIkixYt4qyzzuKOO+7g0UcfNWMIy1C9QINhGDQ0NChvp+qY+f9zOp1kZ2dLpR6FEE3Uoa6inMs3bOHq91Zw8rYPCQuJtNokAblGVEQ0UQvRQz2s1MS0mNdFF11Ebm4ur776KjNmzCAwMBCAiy++mISEBM4++2xuv/12s4YbdNz2NzQ0WGyJMBS4dXbrPlDkBqseooka1FUeL2NuoBMeKil8qiDXiHqIJmoheqiHVZqYksLnJjg4mIsuuoiLLrrI01ZQUMD27dvZtm0b27ZtM3O4QcVutxMTE0NJSQmAp0S7ahiGQXNzM5qmKWmf6rgjeCUlJcTExEg6pCAMIo7GBhyNjccbNIOIEHGgBEEQBP+izw5UY2MjFRUVpKamdmjPyclh6tSpXc5PS0sjLS2NSy65pP9WWkRSUhKAx4lSEcMwaGlpITAwUByoARATE+PRWxCEwcFdgc+NgUFgcLhF1giCIAhC/+iTA/Xmm29y++23M2LECHRd54UXXuDUU08FYOnSpWzdunVQjLQKTdNITk4mMTGRlpYWq83xijsCFRwcLA5UPwkMDDQ18mSz2Zg4caJU6lEI0UQN3BX43NnjhmYQGBxinUGCB7lG1EM0UQvRQz2s1KRPDtTDDz/MV199xciRI/nqq6/47ne/y89//nOuvfbaYV3EwG63K5vaZRgGQUFB2Gw2caAUIigoyGoThE6IJtZz3IE6fq8KDBQHShXkGlEP0UQtRA/1sEqTPrlsLS0tjBzp2vRw9uzZfPLJJzz33HM89NBD8uHdInRdJzs7G13XrTZFaEM0UQ/RRA1q3Q6U+/1CA5tdvs1VAblG1EM0UQvRQz2s1KRP71yJiYkdNsaNi4vj/fffZ/fu3bJhriAIgtAtnSNQhnzvJgiCIPghfXKgfvWrX3kiUG6CgoL4+9//zscff2yqYYIgCMLwot5TREKiToIgCIL/0qc1UH/84x85ePAgs2bNYtGiRZxzzjlERro2QZw/f/6gGCgIgiAMD9wRKI3jKXyCIAiC4G9oRh+rPxiGwVdffcXatWv58MMPMQyDhQsXsmjRIk455RS/WgtVU1NDdHQ01dXVREVFWW1OvzAMA13XpYiEQogm6iGaqMFzP7yeuvIywoMvZ3RxDrumvsedT+612iwBuUZURDRRC9FDPQZDk976Bn3Oo9A0jTlz5vDzn/+cDz/8kHfeeYeTTjqJv/zlL56S5sLQ4nA4rDZB6IRooh6iibXoutOTwtcakoBGK00RgRZbJbRHrhH1EE3UQvRQD6s06ZMD9d///pc77riD9evXA/D666/z7rvvMm/ePJ555hm++OKLQTFS8I2u6+zdu1eqwiiEaKIeoon1NFRXY+g6oIEWTmBLPc5A+RZXFeQaUQ/RRC1ED/WwUpM+OVDLli3j3HPP5emnn+acc87h5ZdfJjs7m/PPP59///vfg2WjIAiC4Oe41z/ZA8LRNBuBLXUYgWrurycIgiAI3dGnIhIBAQF84xvfYMGCBSQmJlJaWkpERAQ/+9nPOO+88/jGN74xWHYKgiAIfkxdW/qeZo/kpB1vMCZvG42bmiy2ShAEQRD6Tp8cqHPPPZfrrruO66+/nt///vdEREQAEBkZSVlZ2aAYKPSM3S7f4qqGaKIeoom1HN8DKpwZO/5GRH0ZUfWyBkol5BpRD9FELUQP9bBKkz5X4Xvrrbf417/+xbZt26itrWXy5Mk0NTVRVlbGG2+8QUZGxmDZajrDoQqfIAiCP/DZP1ayec3r2INP4qbVzxNRX0ZNdBBRVc1WmyYIgiAIQO99gz5FoAAuv/xyLr/8cgBaW1vZvXs3X3/9Ndu3b+f73/8+Bw4c4NChQ/02XOgbhmFQW1tLZGSklNVUBNFEPUQT6/HsAaVFtGsVLVRBrhH1EE3UQvRQDys1GdB28AEBAWRlZXHdddfx2GOP8cEHH4jzNMTous7BgwelKoxCiCbqIZpYT11lWwqfLQLaEh/kI4g6yDWiHqKJWoge6mGlJgNyoARBEAShN3giULYINNxvduJCCYIgCP5Hn1P42pOamsrs2bOZPXs2s2bNYtasWaSmppplmyAIgjBMcEegtA4RKHGgBEEQBP9jQA7Uvffey9atW1m9ejX/93//h9PpJCEhgVmzZnVwqkaPHm2WvYIXQkJCrDZB6IRooh6iiXW0NDfRXF8PuCNQbbWLxH9SCrlG1EM0UQvRQz2s0qTPVfh80dzczPbt29m6davnZ9euXbS0tNDa2mrGEKYjVfgEQRAGn8riQl6+/f9hCwgiMOJH3PiXJYQ21VAfE0Z4Zb3V5gmCIAgC0HvfwLQ1UMHBwZx66qncdNNNXHbZZWRlZREaGkp4eLhZQwhe0HWd8vJyWdSoEKKJeogm1uJe/xQUEu2qlOT53k5CUKog14h6iCZqIXqoh5WamOJANTU1sWbNGr797W+TkJDADTfcgN1uZ+XKlZSWlpoxhOADwzAoKCjApECiYAKiiXqIJtbidqDsQZEA1EbGcyQhlMr0JCvNEtoh14h6iCZqIXqoh5WaDGgN1Ouvv86qVav4z3/+Q2RkJIsXL2bVqlWcddZZsluzIAiCAEBtmwNlC4jE2QLZUxfy/tTNzJp1FVdbbJsgCIIg9JUBOVDf+ta3SElJ4Xe/+x033XQTAQED6k4QBEEYhtRXVgDHN9ENbKmnIRgCAsKsNEsQBEEQ+sWAUvjOOOMMamtr+eEPf0h0dDRz587lRz/6ES+//DLbt29XtnjEcCMyMtJqE4ROiCbqIZpYhzuFT9dda2IDW+poDgK7PdRKs4ROyDWiHqKJWoge6mGVJgMKGX388ccA5Obm8tVXX3mq7/3973+nqqqK4OBgsrKy+OKLL0wxVuiK3W5n3LhxVpshtEM0UQ/RxFpq2/aA0p0uhymwtR490IAAKQmsCnKNqIdoohaih3pYqYkpOXeZmZlkZmbyzW9+09N26NAhtmzZwrZt28wYQvCBruuUlJSQmJiIzWZaUUVhAIgm6iGaWIs7AtXaEootADL3b+feV5sJG/kn+ObNFlsngFwjKiKaqIXooR5WajJoo40dO5arrrqKX//614M1hICrAsnRo0elKoxCiCbqIZpYh6Hrx9dA2SLA0AlrrGfckSZiDudZbJ3gRq4R9RBN1EL0UA8rNemTA7Vhwwa+/PLLPg9y7Ngx3njjjT4/TxAEQfBvGmqq0Z1O0DTQwglobWx3VPaBEgRBEPyPPqXwzZ8/n//+97/86Ec/4tRTT+X0008nIyPD67llZWV8+eWX/Oc//2HSpEnccsstphgsCIIg+A91bdGnkPAo0OwEtdQdPyj+kyAIguCH9HkN1AUXXMB5553Ha6+9xrJly9i8eTPh4eFERUUREBBATU0NNTU1jBs3josvvpjly5cTGxs7GLYLgKZpxMXFoWnySUQVRBP1EE2sw73+KTg8mmaHqwLfcUQPVZBrRD1EE7UQPdTDSk36VUTCbrezdOlSli5ditPp5OjRo5SUlOBwOEhISCA5OZnQUClPOxTYbDbS09OtNkNoh2iiHqKJdbgdqKBQtwNVj9H2XicfRNRBrhH1EE3UQvRQDys1GXARCbvdTmpqKjNnzuTUU08lIyNDnKchRNd18vPz0XXdalOENkQT9RBNrKOurYR5QHAU0OZAeY6KA6UKco2oh2iiFqKHelipidRh9HMMw6CiokKqwiiEaKIeool1uCNQ9gC3A1XniUAhEShlkGtEPUQTtRA91MNKTcSBEgRBEAYNdxEJTYsAOqbwSQRKEARB8EeUdaAeeeQRTj75ZCIjI0lMTOTyyy9n7969Hc5pamriRz/6EfHx8URERHDFFVdw7NgxiywWBEEQOuOOQBmEA20RKPdB8Z8EQRAEP8QUByo/P99r+MwwDPLz8/vV58cff8yPfvQjPv/8c95//31aWlpYtGgR9fX1nnPuuOMO3n33Xd544w0+/vhjioqKWLJkSb/n4Y9omkZSUpIsxlYI0UQ9RBPrcDtQTqdrbWxgaz07MuP4YlEURTfI9haqINeIeogmaiF6qIeVmmiGCYmDdrud4uJiEhMTO7SXl5eTmJiI0+kc6BCUlpaSmJjIxx9/zIIFC6iuriYhIYHXXnuNK6+8EoA9e/YwefJkNm3axGmnndZjnzU1NURHR1NdXU1UVNSAbRQEQRCO0+Jo5umlVwCQMG4ZtRUwa9sKtow9SMgpjcxY8hUnj4mz2EpBEARBcNFb36BfZcw7YxiGV++vrq6OkJAQM4aguroagLg415vtV199RUtLC+eee67nnEmTJpGenu7TgWpubqa5udnzd01NDQBOp9Pj5Gmahs1mQ9f1DlE1d3tnZ9BXu81mQ9M0r+1Al4ohvtrtdjuGYXht13Wd1tZW8vLyGD16NHa73dPuzXZ/mVNnn97f5uR0Oj2aBAUFDYs59WS76nNya5KRkeGxx9/n1N5GVXWqKSt1jRkYRHODHXAS2FJHQzCE6zZs6D5tV3VO7dtheOgErmskPz+fMWPGdHk/99c5dWe7P8zJMAzy8vJIS0vDbrcPizn5s07uim/e9PDXOfm7ToZhcPDgQc9nYDPm1Nugz4AcqGXLlnmMvf/++wkLC/McczqdbN68mRkzZgxkCMA1qdtvv5358+czbdo0AI4ePUpQUBAxMTEdzh05ciRHjx712s8jjzzC8uXLu7Tn5OQQEeFa4BwXF0d6ejpHjhyhoqLCc05SUhJJSUkcPnyY2tpaT3taWhrx8fHk5ubS1NTkac/IyCAqKopdu3Z1EGPixIkEBQWRnZ3dwYasrCwcDkeHdV52u52srCxqa2s5ePCgpz0kJIRJkyZRWVlJfn4+FRUV1NXVERUVxbhx4ygpKenwP/C3ORUUFHjaIyMj/W5O7qowLS0tTJkyZVjMyd91MgyDyspKMjIyhs2cQH2dKvMPARAeG4ujyTXHwJZ6GoM0Agwbds21ltWf5jQcdQLXNeJ0OtF1nV27dg2LOYF/6zRmzBhqa2vZvXt3hw+O/jwnf9YpNTWV2tpa9u/fj8PhGBZz8nedEhISKC4upq6uzvPFz0DnVFfXfrN33wwohW/hwoWAa73S3LlzCQoK8hwLCgpizJgx3HXXXWRmZvZ3CABuueUW/vOf//DZZ58xatQoAF577TVuuOGGDhElgFNOOYWFCxfy6KOPdunHWwQqLS2NiooKT5jO37z31tZWcnJymDp1qkSgFJmT0+n0aCIRKDXm5NZk+vTpEoEawjnt3fgJ//nD4yRnTqGy7ALA4KyPf8I/znAyLdXJSd9cx8QJo/xqTu3bYXjoBMevkaysLIlAKTInwzDYuXMnU6ZMkQiUAnPSdZ2cnByvevjrnPxdJ8Mw2LFjh+czsBlzqqmpIS4ubnBT+NavXw/ADTfcwFNPPTUo64h+/OMf869//YtPPvnE4zyBy/N0OBxUVVV1iEIdO3aMpKQkr30FBwcTHBzcpd3teLTH/Q/1du5Qt2ua5rXdZrNht9s9x93n+LLdX+bkDX+bU/vfh8ucemOjynNyfygcTnNyo+qcGqoqAQiNjKWyDAINBzZDZ9nfDxBb10rrc6ehFRX61ZwG0q76nDRN82mjr35Un1N/2lWZk/uDnrfPKH3pB9SZk5ntVs5poHr4ahed+tbudDq7fAbuj43t230d72JPr87qgVdeecV058kwDH784x+zZs0a1q1bx9ixYzscnz17NoGBgXz44Yeetr1795Kfn8/cuXNNtUVlNE0jLS2tyzeGgnWIJuohmlhDXaWrAl9QaLTrUXelUxgig3LINaIeoolaiB7qYaUmphSRAPjwww/58MMPKSkp6RKqe/nll/vc349+9CNee+013n77bSIjIz35kNHR0YSGhhIdHc2NN97IsmXLiIuLIyoqiltvvZW5c+f2qgLfcMFmsxEfH2+1GUI7RBP1EE2sobYtXz0w2PUFW2CraxsKdxKGfA5RB7lG1EM0UQvRQz2s1MSUCNTy5ctZtGgRH374IWVlZVRWVnb46Q9/+tOfqK6u5qyzziI5Odnz8/rrr3vOeeKJJ7j44ou54oorWLBgAUlJSaxevdqMKfkNTqeTPXv2mFIqXjAH0UQ9RBNrcO8BZQ9qc6BaXItzJQKlHnKNqIdoohaih3pYqYkpEahnn32WV199laVLl5rRHYDXjXk7ExISwjPPPMMzzzxj2rj+SPsqI4IaiCbqIZoMPW4HSrOFAxDQ5No6wu1AiR+lFnKNqIdoohaih3pYpYkpESiHw8G8efPM6EoQBEEYBhiGQX3bGigD1zYRgY1Vrr89npO4UIIgCIL/YYoDddNNN/Haa6+Z0ZUgCIIwDGisrcHZ2gqA7gwFINDRlsLXdo6sgRIEQRD8EVNS+Jqamnj++ef54IMPmD59OoGBgR2Or1ixwoxhBC/YbDYyMjJ8ln0Uhh7RRD1Ek6HHnb4XGhmFo9HlMgW21tNqQwJPCiLXiHqIJmoheqiHlZqY4kDt2LGDGTNmALBz584Ox6Tc4+Ciadqg7L8l9B/RRD1Ek6HHXcI8Ii6exroWwFVEojHouP8k7w7qINeIeogmaiF6qIeVmpjiQLk31BWGHqfTya5du7rsjC1Yh2iiHqLJ0OOOQEXExdNQ73ag6mkMPu44GYgTpQpyjaiHaKIWood6WKmJxCGHAVJSUz1EE/UQTYaW9g5UU7sIVEMwLP/RKN6+4QL0E2zbCdWRa0Q9RBO1ED3UwypNTHOgPv30U6677jrmzp1LYWEhACtXruSzzz4zawhBEATBT6irdG2iGx4TR3ODq5hEYEs9DcFQmB5EUXoqzJ5tpYmCIAiC0C9McaBWrVrF+eefT2hoKNu2baO5uRmA6upqfv3rX5sxhCAIguBHuCNQIeExnraA1gYagzRCdYMWLdDHMwVBEARBbUxxoB5++GGeffZZXnjhhQ4V+ObPn8/WrVvNGELwgc1mY+LEiVIVRiFEE/UQTYYetwMVEBINQJDdic3QaQiGUMOAgBDRQyHkGlEP0UQtRA/1sFITU0bcu3cvCxYs6NIeHR1NVVWVGUMI3RAUFGS1CUInRBP1EE2GFo8DFRQJQJDdlcbXGAxzdtSRkXMI/vUvy+wTuiLXiHqIJmoheqiHVZqY4kAlJSWxf//+Lu2fffYZGRkZZgwh+EDXdbKzs9F13WpThDZEE/UQTYaW1pYWGmtrALDZ2xwoXIUkGoLhW38v5eK/vw233GKZjUJH5BpRD9FELUQP9bBSE1McqJtvvpnbbruNzZs3o2kaRUVF/O1vf+Ouu+7iFnmDFARBOKGob9sDyh4YiO4MBiDIaASgMViT0uWCIAiCX2PKPlD33nsvuq5zzjnn0NDQwIIFCwgODuauu+7i1ltvNWMIQRAEwU+oq3BV4IuIbVeBz+lyoBqCQDMsM00QBEEQBowpDpSmafziF7/g7rvvZv/+/dTV1TFlyhQiIiLM6F4QBEHwI+raIlDhsfE01h3fRBdcKXwSgRIEQRD8GVMcKDdBQUFMmTLFzC6FHrDZbGRlZUlVGIUQTdRDNBlaOm6i6wAgsNm1JqpRHCglkWtEPUQTtRA91MNKTUxzoD788EM+/PBDSkpKuizmevnll80aRvCCw+EgJCTEajOEdogm6iGaDB21bQ5UZFwc9XWuFL6ApvYOlOTwqYhcI+ohmqiF6KEeVmliisu2fPlyFi1axIcffkhZWRmVlZUdfoTBQ9d19u7dK1VhFEI0UQ/RZGjxRKBij0egAhpc66IapIiEksg1oh6iiVqIHuphpSamRKCeffZZXn31VZYuXWpGd4IgCIIf0z6Fz70GKqDG1dYQJCl8giAIgn9jSgTK4XAwb948M7oSBEEQ/Jz6SncVvnia6tscqDqXA9UYLFX4BEEQBP/GFAfqpptu4rXXXjOjK6Ef2O12q00QOiGaqIdoMjQYhuGJQIW1L2PeUge4qvDpwRpNIaEglVqVQq4R9RBN1EL0UA+rNDElha+pqYnnn3+eDz74gOnTpxMYGNjh+IoVK8wYRvCC3W4nKyvLajOEdogm6iGaDB1N9XW0trRV3guOxF0vIqC1gVa7RmuARs6yOP6TsYYHrp5voaVCe+QaUQ/RRC1ED/WwUhNTHKgdO3YwY8YMAHbu3NnhmKZJtvtgYhgGtbW1REZGyv9aEUQT9RBNhg539CkkIpJWhyvJIShYw2bo1Ie4/g7VDVoNDcMwRA9FkGtEPUQTtRA91MNKTUxxoNavX29GN0I/0HWdgwcPkpWVJaFlRRBN1EM0GTq8FZAIDna9sTUGuc4JMQyq65vQdV30UAS5RtRDNFEL0UM9rNTEtH2gqqqqeOmll9i9ezcAU6dO5Xvf+x7R0dFmDSEIgiAoTsdNdF0OVEigq8RsQ5Arny9Q1+QDiCAIguC3mFJEYsuWLYwbN44nnniCiooKKioqWLFiBePGjWPr1q1mDCEIgiAoTmVxITkffwC4HKnywiMABAU4XW3BrvNi/9vAN1/5HdpPf2qJnYIgCIIwEEyJQN1xxx1ceumlvPDCCwQEuLpsbW3lpptu4vbbb+eTTz4xYxjBB7IrtnqIJuohmgwuO9e/z9rnnnbXjKCsII9PVj5AQOgigrRxgKuEOUB4dhOn1P4bY/92ePxxS+wVuiLXiHqIJmoheqiHVZpohmEMeEeO0NBQtm3bxqRJkzq079q1izlz5tDQ0DDQIQaFmpoaoqOjqa6uJioqympzBEEQ/JLK4kJeueMHeH870ZiUcSUZa37DJ1M1/nCpne237sZe64TUVDhyZMjtFQRBEARv9NY3MCWFLyoqivz8/C7tBQUFREZGmjGE4ANd1ykvL0fXdatNEdoQTdRDNBkcWpqaOLz9K977wwofzpOLqsocwLUHVIiuY+AqKiH76aqDXCPqIZqoheihHlZqYkoK3zXXXMONN97IY489xrx58wDYsGEDd999N9/61rfMGELwgWEYFBQUEBMTY7UpQhuiiXqIJt1TWVzIzvXvU11aQnRCItMWnkdscmqX81odDor27aEg52vyc7I5un8vutPZY/+tjmrAlcIXYhjiOCmIXCPqIZqoheihHlZqYooD9dhjj6FpGt/5zndobW3bdT4wkFtuuYXf/OY3ZgwhCIIgDALutUtoGhgGaBpfvrOKRT+4jcmnn8nR/bkU5OwgP2cHRft242xp6fD8qIREgkLDKC/I8xmFCrW53moagjVCDR2QPVQEQRAE/8UUByooKIinnnqKRx55hAMHDgAwbtw4wsLCzOheEARBGAQqiwtdhR8Mw+U8gefxf396kg9f+iOtDkeH54THxpE+dTppU6eTPm060YlJnjVQvhgV4ErldqXwSQRKEARB8G9M2wcKICwsjGnTpgHILs1DiKwzUw/RRD1Ek44YhsGWf73V7TmtDgehkVGktXOYYpNTu9zfY5NTWfSD21j77FNtkSxAA0M3CAhbRJkziODQBBqDygk1jq+BEtRCrhH1EE3UQvRQD6s0MaUKH8BLL73EE088QW5uLgCZmZncfvvt3HTTTWZ0PyhIFT5BEPyZ3q5d0nUnlUVFlBzaz7FDByg5dICSwwdpbqj33bmmMeakWSy555dott7VG6o8WsTOdWsp2J1HaT7YgqZhs8eiGToGcDDyNcoyP+W5u/MJqXVIFT5BEARBKXrrG5gSgXrggQdYsWIFt956K3PnzgVg06ZN3HHHHeTn5/PQQw+ZMYzgBV3XKSkpITExEVsvP+QIg4tooh7DURNfa5fOvfnHJI3LpOTQgePOUt5BWpubu/ShaZrPdUuappE4emyvnSeA2KQUss65muxPPycg9Hi7odnAMBhbdy0tjbuBAlc7shpKFYbjNeLviCZqIXqoh5WamOJA/elPf+KFF17oUHHv0ksvZfr06dx6663iQA0ihmFw9OhREhISrDZFaEM0UY/hpkl3a5fef/73Xp8TEBxM4ugMEseOY+TYcSSOHYctIIC/3PUj706UYTDt7EV9ssvZorPprQN43w5Kw0AnsXw+R8cfQQ/LZMyU8eJAKcJwu0aGA6KJWoge6mGlJqY4UC0tLcyZM6dL++zZsz1V+QRBEARz2Ln+/eORJy/YAgJInTC5nbM0ntiUFGw2e5dzva1dwjBY9IPbiE1KAaDqWAO7NxZTW95IZHwok+clEzPSVSRI1w0K91aS++UxDmwrxdHY3T1fI9gRz5cXzaDh9F8w+ryTB/ifEARBEIShxxQHaunSpfzpT39ixYoVHdqff/55vv3tb5sxhCAIgtBGdWmJT+dJ0zQyT57Lxbff06u+pp11LqmTprBz3drja6nOXuRxnnZvLGL9yj1tjhWgwba1ecy6YDQtTU72f1VCQ83xSn2BwXZaHE4fu+QaaIFlNBNIgE1iT4IgCIJ/YloVvpdeeom1a9dy2mmnAbB582by8/P5zne+w7JlyzzndXayhIGhaRpxcXFS9VAhRBP1GG6aRCck+o5AaRrRiSP71F9sUgpnXHt9l/aqYw2sX7nHNYx7qLbHr/6T5zkvODyA8bMSyTx5JGFRQfx9+eau/pNhoKERavuUZj2D5JioYaPHcGC4XSPDAdFELUQP9bBSE1McqJ07dzJr1iwAzz5QI0aMYMSIEezcudNznrzozMdms5Genm61GUI7RBP1GG6aTFt4Hl+8s8r7wR7WLnWXjteZnZ8UdmtHbHIY85aMJ21yHPaA4wt4Fy6dzPqVuwEDQ3d7XxqT9v6NlE9q2DO7mrSUFFmIrRDD7RoZDogmaiF6qIeVmpjiQK1fv96MboR+oOs6R44cYdSoUfJhRBFEE/UYbprEJKUQGRdPbXkZaBoamte1S53xlY63cOlkJs9Lxtmqc+xQNQW7KynYXcGxQzU+bdA0GJEawZisEV2OTZ6XzIjQOjb/4iUag+MIbSon+egmwhpLMYAL3/wI23/HY4wZjbZliyn/E2FgDLdrZDggmqiF6KEeVmpiWgpfU1MTO3bsoKSkBF3XPe2apnHJJZeYNYzQCcMwqKioIDW1694vgjWIJuox3DQ5vP0rasvLCAgKJuvc82moquqydqkz3aXjrfvLbvZsKqYkv5bWZmfvjNAgMj7U52Fj3buMy/sXODv2p6ER4GwlsLwMIyS4d2MJg85wu0aGA6KJWoge6mGlJqY4UP/9739ZunQp5eXlXY5pmobT2cs3ZEEQBKFHNr/1BgAnLbqIs5be2Kvn7N5YfDzy5IWi3CoAQiMDGTUpjlGTYolOCOXtJ7Z5r1dhwOT5yT7Ha8rJ6eI8CYIgCMJwwBQH6tZbb+Xqq6/mgQceYOTIvi1eFgRBEHpP4Z5dFO7JwWYPYPY3Luv182rLG306TwAjRkVwzvWTiU+JQGtXIc+znsmzYS9guNrDGkooeXw1LYWFBKamEr1kMa3HjlH23HM0bPp8ALMUBEEQBHUxxYE6duwYy5YtE+fJAjRNIykpSQp0KIRooh7DSZMv3nZFn6aeeTaRcV3XH/kiMj7UZwRKs0H61HhGjIrscmzyvGSSx0eze0O7whPzk+HT/3Lgpvs7VAMsf+GF40+0271GoIzuvDjBMobTNTJcEE3UQvRQDys1MWXF1ZVXXslHH31kRldCH7HZbCQlJcmCRoUQTdRjuGhSmn+Yg1u/BE1jziVX9Om5k+cl+45A9ZCOF5MYxtzF41h00zTmLh5HWEMJxfffD7rucpJ03fXTRtSllzJ+7f9I/vWvwWYDuw2nBk4NDA2aggIBlz8nqMFwuUaGE6KJWoge6mGlJqZEoP7whz9w1VVX8emnn5KVlUVgYGCH4z/5yU/MGEbwgtPp5PDhw4wZMwa73W61OQKiiYoMF02+fPtNACacOp+4lL4tmo0ZGcbCpZNZ95fdrgbNFTxyp+PFJHYsZe44fJiqVcfT82KuWELQmDEYhkHpM3/0uZEvNhuBI0e6nrNkMZ/Fl5P96hMkVGmUxMBH022s/FULkQ2eQoCCAgyXa2Q4IZqoheihHlZqYooD9fe//521a9cSEhLCRx991CGUpmmaOFCDTG1trdUmCJ0QTdTD3zWpLjnKno2fAHDKZVf2q4+kjCjP7xknJRAzMozJ85O7OE9Vq1a7IkyedU8a5S++SMTChTTn5tJSUNDtOC2Frv2j8mry+EXe79HP8v7toNNwmlcKVhgw/n6NDEdEE7UQPdTDKk1Mee/6xS9+wfLly7n33nsltCkIgjAIfPnuGgxdZ/T0mYzMGN+vPnK3lAAwelo8F/4gy+s5jsOHj6fndaJu3TrXLwEBrtQ9b1EoTSOwraTsmtw1rj2qfNDY2kjXVVeCIAiCoDameDsOh4NrrrlGnCdBEIRBoL6qkpz17wNwymVX9asPwzDYv+UYAJlzEn2eV7VqdVtun3ciFi5k7Jtv+jzH0HWeSz/Ak189ya6KXTgN36XMnbqUORcEQRD8D1M8nu9+97u8/vrrZnTl4ZNPPuGSSy4hJSUFTdN46623Ohy//vrr0TStw88FF1xgqg3+gKZppKWlSVUYhRBN1MPfNdn6n3dobXGQPH4iaVO9R456ouxIHZVHG7AH2Bh7UoLP81oKC7td32QLDSVk0kSSH364rUCEHWw2DJuGrsGz37DzZuNnvLLzFTYVbfLazYqrk3jwhlQ23tb7MuzC4OLv18hwRDRRC9FDPazUxJQUPqfTyW9/+1v+97//MX369C5FJFasWNHnPuvr6znppJP43ve+x5IlS7yec8EFF/DKK694/g4OPvF2tbfZbMTHx1tthtAO0UQ9/FmT5oZ6tv/v3wCccvlV/X6jcEefRmfFExTq+9YfmJrqOwLVLj0vZsliwmbPourNVVTl7WNV7ad8ON3GsTjA6Jr+1573TovBpml8b/Gv+zUXwXz8+RoZrogmaiF6qIeVmpjiQGVnZzNz5kwAdu7c2eFYf9/sL7zwQi688MJuzwkODiYpKalf/Q8XnE4nubm5ZGZmSlUYRRBN1MOfNfn6/f/gaGwgflQ642af0q8+DMMg90vX+qfMOd3v1xdzxRLKX3rJV0fUXzCXJ796kqK6IlIiUlh88xW8l7uG13M+95qup7VtPmUzDE/VPQNYXlrBqP0fw6yl/ZqTYC7+fI0MV0QTtRA91MNKTUxxoNavX29GN33mo48+IjExkdjYWM4++2wefvjhbj3R5uZmmpubPX/X1NQALgGcbRs+apqGzWZD13WMdmks7nZnp40hfbXbbDY0TfPaDqB3WqDtq91ut2MYhtd2XddxOp00NjZ6xnG3e7PdX+ZkdEof8rc5tddkuMypJ9tVn5NbE8Cv5tTqaOarf78FwMmXXgFezu+NTscO1VBb0URgsJ3RWfHdzsmelkbMd75D1auvug3yVOMrvPVy7tzyAzRNw8BAQ+OVna+QEJbgc62Thsb8+gYmtDgoCgggpbWVJbX1pLW2wrs/wRg9Dz1mTJ/n1FO7Kq89f5mT+xoxDKPXc1V9Tt3Z7g9zMgyDpqamYTUnf9ZJ13WfevjrnPxdJ6DDZ2Az5tT5uC/8toLsBRdcwJIlSxg7diwHDhzg5z//ORdeeCGbNm3y6YU+8sgjLF++vEt7Tk4OERERAMTFxZGens6RI0eoqKjwnJOUlERSUhKHDx/uUDIxLS2N+Ph4cnNzaWpq8rRnZGQQFRXFrl27OogxceJEgoKCyM7O7mBDVlYWDoeDvXv3etrsdjtZWVnU1tZy8OBBT3tISAiTJk2isrKS/Px8KioqyMnJISoqinHjxlFSUsLRo0c95/vbnAralUiOjIz0uzkZhkFFRQX79+9nypQpw2JO/q6TYRhUVlYC+NWcjmz9gobqKkKiosk87XSampr6pdPBDfUAjMgIITDIztGjR7udk72ykgDANnYsEZMnUxceRsHJE1hW+TsMjC4b8h5rOIZvdCa0tHJ7ZfXxpjIn6GDYofXLV8hJOl6Wfbi99vxlTm7HSdd1du3aNSzmBP6t05gxYwDYvXt3hw+O/jwnf9YptS19ef/+/TgcjmExJ3/XKSEhgdraWnJycjwO1UDnVFdXR2/QjM7uXz+pqqripZdeYvdu1yaNU6ZM4cYbbyQ6OnrAfWuaxpo1a7j88st9nnPw4EHGjRvHBx98wDnnnOP1HG8RqLS0NCoqKoiKivKM5U/ee2trKzk5OUydOhW73S7fSCgwJ6fT6dEkKChoWMypJ9tVn5Nbk+nTp3vsUX1OrS0tvLrsFmpKj3HWd29m1oWXep1rz1Fqnb/+4nMaahxc+INpZMxI7HFO+dd+m6avvybp/x4m9oorcDqdPL3taf6868/dVtXzhs2AdwqLGd3ScrxxRS3UGhiRGrx8PfriF/o0J5V0Gi7Xk/saycrK6pJ6769z6s52f5iTYRjs3LmTKVOmdPhi2J/n5M866bpOTk6OVz38dU7+rpNhGOzYscPzGdiMOdXU1BAXF0d1dbXHN/CGKRGoLVu2cP755xMaGsopp7hy9J944gl+/etfs3btWmbNmmXGMN2SkZHBiBEj2L9/v08HKjg42GuhCbfj0R73P9TbuUPdrmma13abzUZgYCDjxo0jMDDQ86bny3Z/mZM3/GlONpvNo0l3NvrTnHpro6pzcmvivoH6w5z2f7mJmtJjhEZGMf2c8z3Xd191KsqtpqHGQXBYAKOnjejWdpvNhl5fT1PbWtbwU0/zjFlcX+yKPnl7nmZjatxUcipy0AwDw9CPr3Uqq+joPHW2PSZ9WL/22qPynNzXiN1u97l22d/m1N92VeZkGAYZGRkd3t/70w+oMycz24d6TjabzTQ9fLWLTn1rNwyjy2fg/tjYvt3X8c6Y4kDdcccdXHrppbzwwgsEBLi6bG1t5aabbuL222/nk08+MWOYbjly5Ajl5eUkJycP+lgqoWlatx6yMPSIJurhb5oYhsGXb70BwKwLLyUwOKTffeW2Vd8bNzMBe0DPO1c0bN0KTieBqakEjUr1tKdEpPjcFFdD45TkU/jN9B+yes23KQqwe9Y6pbe2dj/gTCkioQL+do2cCIgmaiF6qIeVmpiyD9SWLVu45557PM4TQEBAAD/96U/ZsmVLv/qsq6tj+/btbN++HYBDhw6xfft28vPzqaur4+677+bzzz/n8OHDfPjhh1x22WWMHz+e888/34wp+Q1Op5Ps7OxeL3oTBh/RRD38TZND27dQmn+YwJBQZpx/cb/7cTp1Dmx1Vd8bf3L31ffcNHzxBQBhp3Ss+Lc4c7HPCJRh6CwpPUL6O8u4vbKa35aWc3tldQfnyQB0Q8NpaJ5eqgnnjUNBfZuUMCj42zVyIiCaqIXooR5WamKKAxUVFUV+fn6X9oKCAiIjI/vV55YtW5g5c6anPPqyZcuYOXMmDzzwAHa7nR07dnDppZcyYcIEbrzxRmbPns2nn356Qu4FJRezeogm6uFPmnzRFn066bwLCWkrcNMfCnZV0FzfSmhUEKkTYnv1nPrNbQ7UqR0dqNFRo1k+b3mHKJRds2NDY3lZOembX4ayvXSpMNGGbsABI5l/66dRTygAjUYw96zaweGy+n7MTjAbf7pGThREE7UQPdTDKk1MSeG75ppruPHGG3nssceYN28eABs2bODuu+/mW9/6Vr/6POuss7osLmvP//73v371KwiCoDJH9uRQuGcX9oAAZl902YD62r+lLfo0OxGbrec9+Zx1dTTl5AAQfkrXPacuH38520u2syp3FemR6ZyXeDJLPv4D6d2scXJjYON9fQ6/bf0mm4wtRNAAuFIwXt9SwD0XTOrL1ARBEATBMkxxoB577DE0TeM73/kOrW0pG4GBgdxyyy385je/MWMIQRCEE4Iv334TgClnnkNEnO997Xqi1eHk4NelQM+b57pp/Oor1/qntDQCU1K8nnO03lVe9rtTv8vVBbugVfd6XntcG+gavO48q+sxw+BIZWOv7BMEQRAEFTDFgQoKCuKpp57ikUce4cCBAwCMGzeOsLAwM7oXusFmszFx4kSfVUuEoUc0UQ9/0aQ07xAHt36JptlcG+cOgLycclqanETEBZM0tneLbH2l77Vnb6Vrn49JcZMg+7/4StkzAMMAHRsaBve0fp88I6nLeZqmMSo2tFf2CYOHv1wjJxKiiVqIHuphpSambqQbFhZGVlaWmV0KvSAoSBZhq4Zooh7+oMkXbdGnzNPmE5vkPQLUW3K/dKXvZc4eidaL9D04XkDCW/oeQFljGWWNZWhojI8ZDzHp4KMyn2HAASOV9/XZvO48y6vz5DrP4Jo5ab2yTxhc/OEaOdEQTdRC9FAPqzQZkMu2bt06pkyZQk1NTZdj1dXVTJ06lU8//XQgQwg9oOs62dnZXTYpE6xDNFEPf9Ck6thR9m503S9PuezKAfXlaGrlcHYZAJm9rL7nrK2ladcuAMJOPdXrOfsq9gGughJhgWFtJci7RqAMwEDjppY7+W3rN306T2jw6BXTGTMivFc2CoOHP1wjJxqiiVqIHuphpSYDcqCefPJJbr75Zq812KOjo/l//+//sWLFioEMIQiCcEKw5d3VGIbOmJNmMXLsuAH1dejrMpwtOjEjwxiR1rsqfg1btoCuEzR6NIEjvTtd7vS9iXETXQ3x4+DSP+COQhlAq2FDNzSfKXsA3//xH3loxT9p3rCRqyT6JAiCIPgZA3Kgvv76ay644AKfxxctWsRXX301kCEEQRCGPfVVlez86H0ATrn8qgH3t79t89zxcxK77M7ui4bN3vd/as+eij0ATIydeLxx5rdh4kWu43oazzsv5mzH47zpPNNrH3abxvwzpnHpwkzSpgzMURQEQRAEKxjQGqhjx44RGBjou/OAAEpLSwcyhCAIwrBn63tv42xpITlzIqMmTxtQX031LeTvqgBc6596S/0XmwHf6XsA+ypdKXyeCJSbhnIA/qQv5p3W07odxzAMrpozitqig722TRAEQRBUYkARqNTUVHbu3Onz+I4dO0hOTh7IEEIP2Gw2srKypCqMQogm6qGyJs0N9Wxf+x4Ap1x+da8jRr44uK0U3WkQnxpBXErv1hY5q6tp3u2KLoWdcrJ3O53NHKo+BMCE2AkdD1a62vP0RJ9jaICtbc1TRkKksnqcqKh8jZyoiCZqIXqoh5WaDGjEiy66iPvvv5+mpqYuxxobG/nlL3/JxRdfPJAhhF7gcDisNkHohGiiHqpqsn3tezgaG4gflc64Wd6dl76Q25a+l3myb2emMw1btoBhEDR2LIGJ3p93oOoATsNJTHAMI8PaRbYc9VDnGrMA7xEvDZiRHsO6O89yrXl6/nn0xx6D55/vtY3C4KPqNXIiI5qoheihHlZpMiAH6r777qOiooIJEybw29/+lrfffpu3336bRx99lIkTJ1JRUcEvfvELs2wVvKDrOnv37pWqMAohmqiHqpq0OJrZ+t7bgKvynjbAb9Hqq5sp3FsJ9H7zXDhevrzb/Z8q2gpIxE7sGCWrzAPAGRxNleE94qVp8MTVM45X2/vVrwi891741a96baMwuKh6jZzIiCZqIXqoh5WaDGgN1MiRI9m4cSO33HILP/vZzzAMVzlbTdM4//zzeeaZZxjpo5qTIAjCiUplcSE7179PXvZ2GqqrCI+NY+K8BQPu98DWUgwDRo6NImpE7zendW+g62v/JzhegW9CnPf0PXvcWB49bzr3rNqB3lbZ3K5pGBhSqlwQBEEYVgx4I93Ro0fz3nvvUVlZyf79+zEMg8zMTGJjY82wTxAEYVixc/37rH3uadA0jLZvzeqrKtn92UdMO+vcAfXtrr7Xl+hTa2UlzXvc6596jkBNipvU8UDlYddj7BiumpNGbFgQN/1lC0F2GzeeMZZr5qSJ8yQIgiAMKwbsQLmJjY3l5JMHnr8v9B273W61CUInRBP1MEMTd+SourSE6IREpi08j9jk1D49f+1zT7ui9Ua7DWgNg7XPPkXqpCnEJqX0y7baiiaKD1SDBuNn93H9ExA0bhwBI0Z4PccwjA4pfB2ocEWgiBsLgN3uSu8blxjBPRd0crYEpZH7lnqIJmoheqiHVZqY5kAJ1mC328nKyrLaDKEdool6mKFJ+8gRhgGaxpfvrGLRD27zGjlqbWmhvrKc2vIy6irKqa0oZ+/GTz2pzl3QNHauW8sZ117fL/vcxSNSM2MIjwnu9fPc+z+Fd7P+qbi+mNqWWgJsAWREZ3Q82JbCR6zLgSqtaQYgMdK3DVqnR8F65L6lHqKJWoge6mGlJuJA+TmGYVBbW0tkZOSAyx8L5iCaqEdFUSFb1/6bpuoq8yJHbY//e/YpSg8forWl2eMo1VWU01hT3TcjDaguLenbc9qxf4vrueP7kL4H7QpI9CJ9LyM6g0B7p73/2qXwAZTUuqqydudAGbicJ/ejYD1y31IP0UQtRA/1sFITUxyo/Px80tLSuhhvGAYFBQWkp6ebMYzgBV3XOXjwIFlZWRJaVgTRRC08kSM3PUWOHA5qy0upLS+jtryMmrIScjdv9B05Mgy2/udtr4fsgYFExo0gIi6eiLh4qo4Vc/RAbsf0PY9dEJ3Q+9S79lQda6A0vxabTWPcrIReP6+1ooLmfa7Ncbt1oCp9rH/SnZ4qfO4UvmNtEaiRUSG9tkOwHrlvqYdoohaih3pYqYkpDtTYsWMpLi4msdP+IRUVFYwdOxan02nGMIIgCH2iQ+TITbvIUUVhgcdhqilzOU19jhwB0YkjmXzG2UTGxRMRH09EbDyR8SMIiej4rVhlcSGv3PEDvLpihsG0sxf1eeyqYw2sW7kbgIi4YJrrWwmNCOrVcxu+dK1/Cs7MJCAuzud57ghUlw10awpBbwFbIES5InqeCFRU79MIBUEQBMGfMMWBMgzDa+isrq6OkBD5FlIQhP7Rn6INutNJTWkJlcWFbPnXGu/OCoBh8OU7q7weCggOJio+gcgRCUTGj6CiqJDifbu9RqE0m42Jc89g/tXf7nE+scmpLPrBbax99qm2tVS05bIZLPrBbWhaDJvWHKC2vJHI+FAmz0smZmSYz/52byxi/co9noBWbXkTrz34OQuXTmbyvOQe7WnYvBnoPvoExyNQE+M6FZBwp+/FpIPN9e1fSW3Pa6AEQRAEwZ8ZkAO1bNkywLXv0/33309Y2PE3eqfTyebNm5kxY8aADBR6RpxU9RBNBk53RRumLjibusoKKosLqSwuansspPJoMdXHjqI7W3s1RuSIBCbNP7PNWRpBZJvTFBIe4TVy5JU+Ro6mnXUuqZOmsHPd2uOO4dmLOHoQXnvw8w6Lg7atzfPpDJXk17Ju5R7oGlxj/crdJI+PJibRt/MFUP9FmwPVTQGJ+pZ6CmoLgJ4r8AGUuItIdJfCl5lJc0gIQWlp3donDC1y31IP0UQtRA/1sEqTATlQ27ZtA1wRqOzsbIKCjqeNBAUFcdJJJ3HXXXcNzEKhW+x2O5MmSalglRBNBk63RRv+9CQfvPhHnC0On88PCAwiJikZZ2srlUeLvK450mw2Js8/s1dV73qKHHkrPV51rIHdG4u9RpNik1I6jFt1rIH1Kz93mek2te1x3crdtDS30tLspKqkkepjDVSVNNBY2+LbYA12byhm7uJxPk9pLS/Hsf8AAGHdbEGxr9K1RioxLJHYkE77+3UqIGEYBqW9iEBp69cj8Sm1kPuWeogmaiF6qIeVmgzIgVq/fj0AN9xwA0899RRRUVGmGCX0Hl3XqaysJDY2FpvNZrU5AqIJ9D31rrGulvIj+VQcKaDsSB4Htmz2XbQBcLY4sNntRCeOJDY5ldjkFGKSXI+xySlExo1As9lMXXPkK3LkzXlyp9b1Jppk6AZfryvwPbABn76e22s73c+pLW/s9hR39b3giRMJ6Gbjc5/7P0GXEuZVDS04nK7NgRO6caDkGlEP0UQ9RBO1ED3Uw0pNTFkD9corr5jRjdAP3JUOY2JirDZFaONE16S71LuMWSdTfiSf8iMFLoepMJ+ygnwaqqt6P4CmMXbGHC676xfYA7q/hXWIHLkLZvcQOeq2v06RI2+4okl7fEaTHI0tOJqcVB5toPJoPVXHGmh16N32GRwewOhp8cQkhrl+Roaxd/NRdqwvwPD2VA0i40N99uc4fJiy519wnRoYgOPwYYLGjPF6rs/1T9Alhe9YWwGJ2LBAggN8V0Q60a8RFRFN1EM0UQvRQz2s1MQUB6qxsRHDMDxroPLy8lizZg2TJ0/m/PPPN2MIQRD8gJ5S77ojKiGR+NQ04kalU1GYz+Ht2zC8eAeappGQPrpH58nNtLPOJTlzEuvfeI1gDGISR/qMHPmiu3S8zuzaWOS7IwM+e2N/13Z3pMoLmg2mnp7aJR0vMNjODl+RKwMmz/deRKJq1WqK778fdNf/tmnXbg5c9A2SH36YmCWLu5y/r8KVwufVgeq8B5RnE11ZJyAIgiAMX0xxoC677DKWLFnCD37wA6qqqjj11FMJDAykrKyMFStWcMstt5gxjCAIilJbUUbR3t18+c6qblPvwFXyO35U+vGf1DTiUkcRFHrcIaksLuSV7eYUbQCISUpm/FmL+rVXRHfpeJPmJlFT1khJXi2lebWU5NdSvL/K6zZPbkLCAxhzUgKxI8OITQojNikcp67z+kNfeH+eD2coZmQYC5dOZv3K3e2ifa7z5yTmU/+bf+NITSXmiiWe6JLj8OEOzhPg+b34vvsImz2LoNGjPYecutOzBqpLCl9jJTRVuX73bKLrLiDR/QonbelSMg4fRhszBl57rdtzBUEQBEE1THGgtm7dyhNPPAHAm2++yciRI9m2bRurVq3igQceEAdqkImMjLTaBKET/qpJb9Yu6U4npfmHKdq7i6J9eyjcu4vastIe+9Y0jcxT5nHJsp/1eG5/ijb0RH806TYd7y+7+eyf+3A09X6fO80GU7xEkwCfztDCpZN9VtObPC+Z5PHR7N7gio4FluUT9c9HCWsup6YtfbL8pZeIv+kmAkbEU/XGGx2dpw7GaVS9uYrEO5d5mvJr82lyNhFiDyE9stOG6O7oU8RICAoH4FhN2x5QPUSgtE8+IaqwECM/v9vzhKHFX+9bwxnRRC1ED/WwShNTHKiGhgbPBNauXcuSJUuw2Wycdtpp5OXlmTGE4AO73c64cb4rbQlDj79q4mvt0tnf+wExiUkU7ttN0d7dFO/fR0tTxwIFmmYjYYxrHUzp4YPeo1CaRkxSz3sTuelL0YaeaK9Jb9PxWh1Ovvz3Id/7SAGOJie2AI0RqREkjI4iMT2SkIhA/vtcdp+iSdDVGYqMD2Xy/OQOzpPj8GGqVq2mpbCQwLboUsyYMcxdPA7H4cMcuOhurw5S+fPPd/v/cdlm0FJY2KHJvf4pMzYTu61T5M69/qkt+gQcr8DXUwSq06NgPf563xrOiCZqIXqoh5WamOJAjR8/nrfeeovFixfzv//9jzvuuAOAkpISqcw3yOi6TklJCYmJiVIVRhH8UZPu1i59+NKfupwfHBZO8oRJpEyYROrEKSSNn0BQSKip+yVB74o29Aa3JhUHnHz0171e0/FGTYrl6MFq18+BasoK6tD1btwnDdImx/GNH07HHtBR5/5EkwBiEsN8lh73rF1q5+CWv/giMVdegRYUTM3atb6jS0BgejoBCSNo3Lbd+3maRmDq8WhjXk0ef931VwAcTgd5NXmMjjqe3te5Ah9ASa07AtW9A+UJKCJOlCr4431ruCOaqIXooR5WamKKA/XAAw9w7bXXcscdd3D22Wczd+5cwBWNmjlzphlDCD4wDIOjR4+SkJBgtSlCG/6oyc717x//YO6F4LBwxs0+hZSJU0iZOJkRo9LRvNysBiP1zgwMw+DQnkK2vV7tMx3PG4HBNlqavTslmgYJaZFdnCfoXTSpM96iS92uXWqj6o03ffbpwWYjdNo0En5yKwcu+ob3cwyDmCuvAGBN7hoe3PQgelsRj32V+7j0rUtZPm85l4+/3HV+pwISAMfaikiM7G4TXUFJ/PG+NdwRTdRC9FAPKzUxxYG68sorOf300ykuLmbGjBme9nPOOYfFi7tWdRIEQS2qjhVj+IheaJrGmBmzufDHd/aqLzNT78zk6O7mHs9JSI8kaVw0yRnRjMyIwtmq8/cHN/c5HQ+6jyZ1xmt06aWXSLjjdmxhYVT8ZWW30aWQadMISEyk7qOPuo0uBY0ZQ/LDD1N8330domOGbvDZ0un8r2wNpwSe0sF5ck3VwDAMfrnxl8xKnEV6VHqXEubQ+wiUIAiCIPgzpjhQALm5uTz33HMcPHiQN954g9TUVPbu3cvYsWN7frIgCJZRW17GkT05vk/QNKITEvvUp1mpd72huzVNTfUtHM4u4+D2Uop2NPksFY4G42YmcMH3s7oc6m86Xm/pLrpU+viKnjuw2QhKTyfhJ7e6HChvGDpvTapl/8c/JWV0Cpe98SLh/93Eob2bWdeyk49OCuRo3C60nN28tPMln0NpaKzOXc3ts2+Hyrb1rW0pfIZhSBlzQRAE4YTAFAdq1apVLF26lG9/+9ts3bqV5mbXm2h1dTW//vWvee+998wYRvCCpmnExcWhabKSQBX8SZOifbt5+7H/634j236sXRoqvJUY37o2j8w5I2moaaYotxqju3VMbWgaRCf0rtJdb9LxOtNdel75q6/6TJ0ECEhOJnDUKBq/+qof0SUNQ9d59iIbn5SvwSg30NB4hVf4yaKf8PSIPejYAN23c9kOA4OiuiJodUDNEVdjWwpfTWMrza0u+3oqIiGohz/dt04URBO1ED3Uw0pNTHGgHn74YZ599lm+853v8I9//MPTPn/+fB5++GEzhhB8YLPZSE9P7/lEYcjwF012rn+fD158BmdrKyPSxzDljIV8+tqrSq1d6o7uSoznfnnMc158agRjZ4wgIS2yX9XxoG/peF3s9FH8IfzMM2ktLKQ5N9f3k202wmbO7PXapZgliwmbPYuqN1fRUlhIQ0IEPwpdQ3GsAUbHcutPbn2yz3PR0Eixh8F7d4Ohgy0QmmshcqQnfS8qJICQwO732pIqfOrhL/etEwnRRC1ED/WwUhNTHKi9e/eyYMGCLu3R0dFUVVWZMYTgA13XOXLkCKNGjZKqMIqguia608nHf32Zre+9DUDmKfO44Ed3EBQSyvhT5iq3dskXuzcWH488eSF1YgwLr5tMdEKoR5OzrpvYVoVvcNLxOtNdel69O92um+IdPUWXMAySH37Ys/ltXk0ea8rWUDTnKClnpVHtqKYk19bFeeovhuFkycd/gNa2/vQWeOZkuPQPlESeD0BiLwpISBU+9VD9vnUiIpqoheihHlZqYooDlZSUxP79+xnTlpLi5rPPPiMjI8OMIQQfGIZBRUUFqampPZ8sDAkqa9JYV8u/n/oteTu2ATD3ymuZe8U3PRX1hnLt0kCpLW/szu8gLDKI6IRQ4LgmWadlkZIZO6B0vL5Q8bfXunWOIs46ixG33MLhb37Te3peN9GlwNRUYq68wuM8uSvnaWgYuFL1nP10nLQ2t8YGGIbucXaWl1WQ3tLSyUYd3vkxdQv/BfSugIRx442UHjjAiHHjxIFSBJXvWycqoolaiB7qYaUmpjhQN998M7fddhsvv/wymqZRVFTEpk2buOuuu7j//vvNGEIQhAFSfqSAt373EFVHiwkIDubCHy1jwqnzrTar39jstm6LQkTGh3o9NJB0vM74WtvUmJND5V//RvXbb3frQNlCQwmdntWr6BJA0OjRJN65rEtXeTV5XSrn9YQNm6u6npd/oobBcxEz+PzIJxQF2ElpbWVJbT3pra0+etNI2P8GcF6vSpgbDzxAUXY28Vldi3YIgiAIguqY4kDde++96LrOOeecQ0NDAwsWLCA4OJi77rqLW2+91YwhBEEYAAe++oL3fv87HI2NRCUkctld95E4xn+jw5VH6zm0o8z3CT2saTIDX2ubAtPTacnL67mDdhvX9hRdak9eTR5rctdQVFdESkQKizMXs3rf6l4Vgeg4Ptw28zae3va0K2pl6GiG7oo0lVdy2qF3Oa3XnRoE1bqKSkgJc0EQBGG4Y4oDpWkav/jFL7j77rvZv38/dXV1TJkyhYiICDO6F7pB0zSSkpKkKoxCqKSJYRh88fabfPaPv4BhMGrKNC6542eERUVbbVq/qa9u5t2nv8bR2EpkfAh1FU09rmkyW5Pu1ja15OWB3U7UBRcQcc7ZFN11d4/peeA7utSezml6AC/vfJkAWwA6PvbxajvXrtk9qX0GhmdT3PNGn8fqHS9T9PVKUlpbeog0ecdAY0d9FADZhdUcKqtn7Ihwn+erdI0ILkQT9RBN1EL0UA8rNdEMo5v6ucOcmpoaoqOjqa6uJioqympzBMFUWpqbWPvc79mz4WMATjrvIhZe/33sAaZt/zbkOBpbWf34VsqP1BGdGMoVd8+mubF1yNY0uSl5fAXlL78MTi9rjDSNmGuvJfn++wCoWr3GZ3pezJLebzSeV5PHpW9d2qc0PQC7ZmfJ+CVEBUd5olZLMpe4NsMtPwDbVsKe96BsH30PY7meoRsaZzseJ89Iwtb2PvboFdO5ak5an/sTBEEQBKvorW9gyiepZcu8f2uqaRohISGMHz+eyy67jLi4ODOGE9rhdDo5fPgwY8aMwW7vvnSwMDSooElNWSlvP/YwJYcOYLPbOfuG/8dJ511kiS1m4WzV+c9z2ZQfqSM0KohLbp1BaGQQoZFBPa5pMluTlsLCbtc26ZWVnj/7kp7Xns6petWOak9xB6/DtotKtcfA4Ppp17scpvZs+yu8cyug9blKn9tpcsez7mn9PnlGEgDubbfuWbWDk8fEMcZLJMoYNQqtsBAjNRXtyJE+jS0MDirct4SOiCZqIXqoh5WamOJAbdu2ja1bt+J0Opk4cSIA+/btw263M2nSJP74xz9y55138tlnnzFlyhQzhhTaUVtba7UJQieGWpPK4kJ2rn+f6tISbHY7h7ZtoamultDIKC5Z9jPSpvj3Yn1DN/jwz7s5sqeSwGA7l/z4JE+Fvd5ipiaBqamuSJI32q1tctOb9Lz29LWink2zMTVuKjkVOR2e407V6xBtqsqH4EjY+hdXBb1eobk25W1bK7XeeRL1hHLESOB151ke56njv0Hj9S0F3HPBpF7PW7AWeS9RD9FELUQP9bBKE1McKHd06ZVXXvGEu6qrq7nppps4/fTTufnmm7n22mu54447+N///mfGkIIgtLFz/fusfe5p1wdcw/BERiLj4rlm+W+JThxpsYUDZ8Pq/eR+eQybTePC/5dFQnqkpfbEXLGE8hde8H6w09qmvtKfinoaGqckn8JvFvyG1bmru6bqtY824X6N9DZdT4PZ15NffJR/5wfyuvMsDntxmDpjGAZHKht7PQdBEARB8BdMcaB+97vf8f7773fIFYyOjubBBx9k0aJF3HbbbTzwwAMsWrTIjOEEQWijsriQtc893cFxclNXWYGum7OBqpVs/yCfrz8oAODs704mbYr1qcCOgnZpZ+7N+3yUHu8ra3LXdJuq5w0Dw+Ms3T779o4Hyw+4nKc+rp1CswMGpWc/zorSOfz9YEHfnq5pjIrtW5RQEARBEPwBUxyo6upqSkpKuqTnlZaWUlNTA0BMTAwOh8OM4YR2aJpGWlqaVIVRiKHUZOf6948XJ+hqCDvXrfWbjXG9se/Lo2x4cz8Ac5eMY+KpPUc+vGGmJs66eop/+QAAUZddRmBiYp/WNvVEUV2R17VM0H1FvS5rnNxsWwl9csg0GDEBJl3Ee4Hn8eP3qjCMvjlP4IpAXSNFJPwGeS9RD9FELUQP9bBSE9NS+L73ve/x+OOPc/LJJwPw5Zdfctddd3H55ZcD8MUXXzBhwgQzhhPaYbPZiI+Pt9oMoR1DqUlJ3iEMbyWyAQyoLi0ZEjvMoupYA7s3uirqGcCBrS77p589ipnn+XAQeoGZmpSueJzWomICR40i+ZcPYAszt+JfSkSKzwiUTbP5rqjXGfeap+w3+hZ90jT41t85ZCTx48c/8hSF6C3tq/B5KyABx905+RiiDvJeoh6iiVqIHuphpSamOFDPPfccd9xxB9/85jdpbds/JCAggO9+97s88cQTAEyaNIkXX3zRjOGEdjidTnJzc8nMzJSqMIowVJrkfrGR/Oztvk/QIDohcdDGN5vdG4tYv3KPqyhcuyU6iaMjOf3KzAF9w2SWJvVffEHla38HIPlXD5nuPAEszlzMyztf9nrMZ0W9zvSpwp7WVhDDtT6q9OzHefnLFt7ftcVnoUFfzEiLZu64EVwzJ82n8+Sah2c1ljhRiiDvJeohmqiF6KEeVmpiigMVERHBCy+8wBNPPMHBgwcByMjI6LCR7owZM8wYSvBCU1OT1SYInRhMTQxdZ9Oqf7Dpzdd6ONFg2tn+se6w6lgD61fu8VrboDS/luqyxgHv7TRQTfTGRorvux+AmKuvJnzu3AH154vRUaMZFzOO/VX70dDQNK13qXpu+rTmyVUgguYaiEn3pOxp2kGcfQg9XXtKOt9fkNGt0ySoj7yXqIdoohaih3pYpcmAHaiWlhYuuOACnn32WTIzM5k+fboZdgmC4AVHYwP/eeYJ9n+5CYCZF17CiLQxfPDCH9rWQtH21b7Boh/cRmxSiqX29pbdG4uPhyQ6o8HuDcU97vU02JQ+9TQt+fkEJCWRePddgzZOTnmOx3m6csKV1Dnquk/V60yPa5400GyAAZf+AWZ+G4BDZfXHU/Z6EXrScL3kZMNcQRAE4URjwA5UYGAgO3bsMMMWQRC6oerYUd7+3a8oK8jDHhDAOTf9kKyFrghT2tQsdq5bS3VpCdEJiUw7e5HfOE8AteWNvqtqG23HhxjH4cNUrVpNS2EhWmAA1W+/A0Dy8gexRw5eGfUXd7hSnS/KuIgH5j7Q9w6q8um2RHl0KmRdBTOXQrzLKT1UVs+yf27vU8retyTqJAiCIJygmJLCd9111/HSSy/xm9/8xozuhD5gs9nIyMjA5i6lLFjOYGiSl72dfz35KE11tYTHxHLpnT8nZcJkz/HYpBS/rrYXERfi+8O7BpHxAyuH3VdNqlatpvj++49XOGwr1BE6cwYRZ545IFu640DVAT7I/wCAm6bd1L9OYtLxGYHS7C7n6dwHPU3/3FLAvat2YBg97wxlt7n2Ghtw1GnlSuorKwmLje1/H4KpyHuJeogmaiF6qIeVmpjiQLW2tvLyyy/zwQcfMHv2bMLDO34juWLFij73+cknn/C73/2Or776iuLiYtasWeOp6AeuErm//OUveeGFF6iqqmL+/Pn86U9/IjMzc6DT8Ss0Teuw/5ZgPWZqYhgG2/77Lh/95UUMXSdpXCaX3vULIuNGmNK/ChiGQXVpNxEmAybPTx7QGH3RxHH4sMt58lLdsPHrHTjy8gZcqtwXL2a7ok/npJ/D+Njx/etk5lLY8JSPg4breBuHyuq5d9WOHivtacC4xAjOmzKyxwIRvUFbuBCJW6mFvJeoh2iiFqKHelipiSku286dO5k1axaRkZHs27ePbdu2eX62b9/erz7r6+s56aSTeOaZZ7we/+1vf8vTTz/Ns88+y+bNmwkPD+f8888/4Rb4OZ1OsrOzcTr9f8PU4YJZmrS2tPC/Z59i/avPY+g6U85YyDUPPjqsnCeAzW8f5OC20rZFNaDZNLS2ZTqaBguXTh5wAYm+aFK1anVbVTovaBpVb64akC2+KKgt4D+H/gPAzVk397+j+HEw7py2P9z/SLvr8dI/eNL2wBV96k11Q02DF78zh3sumGRKyp7ct9RDNFEP0UQtRA/1sFITUyJQ69evN6ObDlx44YVceOGFXo8ZhsGTTz7Jfffdx2WXXQbAX/7yF0aOHMlbb73FN7/5TdPtURm5mNVjoJrUVVbwzuP/R3HuXjTNxplLv8esiy4bdhv47VhfwFf/zQNg4XWTSMmMYfcG1z5QkfGhTJ6fPGDnyU1vNWkpLPRdRMEwXMcHgVd2voLTcDIvZR5TR0ztf0e6DqV7XL9P+gYEBLvS+tqteXJzpLIRo5uFT+0LRZi91knuW+ohmqiHaKIWood6WKWJKQ6Um127dpGfn4/D4fC0aZrGJZdcYuYwHDp0iKNHj3Luued62qKjozn11FPZtGmTTwequbmZ5uZmz981NTWA65/vFkDTNGw2G7qud/hg4W7vLJSvdpvNhqZpXtsB9E7pQb7a7XY7hmF4bdd1HafTiWEYnnHc7d5s95c5df5A529zaq9Jf+ZUtG8P76z4NfWVFQSHR/CNn9zN2Bmzh51OB7eV8ek/cwE4+eIxTDxtJJqmMXfxuA62O53OAc/JrQnQ45zsKcndRqACUlI8fZvx2jtYeZDX9rzGm/veBOCSjEu82thrnfI/x15dAMFR6IufxwgIOX5yp9dkanRw26a9XZ0oDZiRFsMT18wgLTakg/0Dfe3p69YRsW8flJdjnH32CXePUHFO7muk/fuJv8+pO9v9YU7u5w6nOfmzTu3fT4bLnPxdJ6DLPWugc+qtQ2aKA3Xw4EEWL15MdnY2mqZ5JuienNne4dGjRwEYOXJkh/aRI0d6jnnjkUceYfny5V3ac3JyPHtWxcXFkZ6ezpEjR6ioqPCck5SURFJSEocPH6a2ttbTnpaWRnx8PLm5uR3SBzMyMoiKimLXrl0d5j9x4kSCgoLIzs7uYENWVhYOh4O9e/d62ux2O1lZWdTW1nr21wIICQlh0qRJVFZWkp+fT0VFBTk5OURFRTFu3DhKSko6/B/8bU4FBQWe9sjISL+bk2EYVFRUsH//fqZMmdLtnA7u2knRjq00VVUSm5RMQnIKG/75V/TWVsJHJDL9im8TmpQKMKx0sjVGsuFv+WBA0tRgAlOryc7OHrQ5GYZBZWUlQI9z0qZOJVDXu5RhMAB0ncb58wBMee19eOxDfrnxl239u+6bv/jsFzicDjIaMrqdE3jXadTXzzECYPIlVNY1UVCQ61On6ZGt6N1EoH5+TipjRoRz4MABU197U667jvElJRipqTTl5p5w9wgV5+T+EKLrOrt27RoWcwL/1mnMmDEA7N69u8MHR3+ekz/rlJrqei/ev39/h0CBP8/J33VKSEigtraWnJwcj88x0DnV1dXRGzSju/yNXnLJJZdgt9t58cUXGTt2LF988QXl5eXceeedPPbYY5xxxhkD6l/TtA5FJDZu3Mj8+fMpKioiOfn44vKrr74aTdN4/fXXvfbjLQKVlpZGRUWFZxGav3nvuq7T1NRESEgImqbJNxIKzMkwDI8mAQEBPueUvW4t7z//e0+lNwM8qWMZs0/lgh/eTlBomBJz6tw+EJ3KjtTxzhPbcTQ5yZgxgnNvnILNpg3qnNyauAvcdDcno7WVQxdeRGtRkUsb949hMPKhh4hZstiU115BXQGXvX0ZupcNb23YeOuyt0iPPL7vU690crZge2IyWmMFLF2DPvasHnV6c+sR7lm1s81WsLVt2vvIkmlcNTttUF57ttGj0QoLMVJToaDghLtHqDgnwzBwOByEhIR0scVf59Sd7f4wJ03TaG5uJjAwsEP6tj/PyZ91AnA4HF718Nc5+btOmqbR0NBAcHCwR5OBzqmmpoa4uDiqq6u7LVBhSgRq06ZNrFu3jhEjRmCz2bDZbJx++uk88sgj/OQnP2Hbtm1mDOMhKSkJgGPHjnVwoI4dO8aMGTN8Pi84OJjg4OAu7Xa7Hbvd3qHN/Q/1du5Qt7sdo864XwyhoaGe37uz3V/m5A1/mpNhGB5NfNlYWVzI+8//3nUz8PIdxpnX3UBoRMe9hoaDTjVljbz3TDaOJicpmTGcd+NUAgK79m/2nNyaQM9zKnvpZVqLitAiIoi+7DL0ykoCU1OJufKKDtX3Bvrae2v/W23pc13RNI23D7zN7bNv71X/njkd+BAaKyA8AcYs6JVOZ09KAlwO1KIpI8lIiOhSac90PbzZ7mtO3dg+kPbhcD2ZaaNhGJ4PIX3pX+U59bddlTkZhkFQUFCH9/f+9APqzMnM9qGek5l6+GoXnfrWbhgGISEhXjXpr+2+jnexp1dn9YDT6SSybWPJESNGUFRUBMDo0aM7hPPMYuzYsSQlJfHhhx962mpqati8eTNz5841fTyV0XWd7OzsLt69YB290WTn+vd9rrPRbDZyPvpgsMyzjMZaB+/+/msaahzEp4Zz0S1ZXp2nwaC310nzgQOU/eEPACT9/Ock338fqSseJ/HOZaaXLi+qK+ry7ZsbA4OiuqLed1Z+AD54EP69zPX3uHPA3rvvxz4/WA7AlOQonltqXqU9wb+Q9xL1EE3UQvRQDys1MSUCNW3aNL7++mvGjh3Lqaeeym9/+1uCgoJ4/vnnycjI6LkDL9TV1bF//37P34cOHWL79u2eXMjbb7+dhx9+mMzMTMaOHcv9999PSkpKh72iBEFVqktLuqn01nbcz6k61sDuja6KeuExweTvrqDqWAMRccFccusMgsMCrTaxA4bTSfHPf4HhcBC+4AyiF18+qOOlRKR41j11RkMjJSKldx1t+yu8cyuggdGWmpD9Txi7AGZ+u8enbzzgcqDmjovv3XiCIAiCcIJjigN13333UV9fD8BDDz3ExRdfzBlnnEF8fDz/+Mc/+tXnli1bWLhwoefvZctc36x+97vf5dVXX+WnP/0p9fX1fP/736eqqorTTz+d//73v4SEhPjqUhCUIToh0fdBrYfjfsDujUWsX7kHd4E3t68YEGTn0p/MIDymayqt1VT8ZSWNX3+NLTyc5OXLvaZomMkFYy7gpZ0veT1mYLAkc0nPnZQfcDlPnddRGTq882NIP61L6fLObDpQBsA8caAEQRAEoVeY4kCdf/75nt/Hjx/Pnj17qKioIDY2tt8fQs46q+vi5/ZomsZDDz3EQw891K/+BcFKppx5Dl+8/ab3g4bBtLMXDa1BJlJ1rIH1K/e4nKZOl3BrixPNpt5eVo7Dhyl98kkAEu/5KYHt1lYOFpuPbvb8btfsGBhobQUcls9bTnpUejfPbmPbSvCxjgo01/FzH/T59KKqRg6XN2C3aZwyNq5P9guCIAjCiYqp+0C1Jy4ujiNHjvDQQw/x/PPPD9YwJzw2m42srCyfi+6Eoac3mhTuyfH8rtlsLkdDAwyDRT+4jdikXqZvKcjujcX42FoITYPdG4qZu7j7qIjZdKeJoesU33c/RnMzYXNPI+aqqwbdnmZnM3/O+TMAt864lYbWBorqikiJSGFJ5pLeOU8AVfl4/UeDq70q3+dTD5XV86t/ucpVx4cHUVbnIDJErbRKYeiQ9xL1EE3UQvRQDys1GTQHCqC8vJyXXnpJHKhBxl16VlCH7jRxNDaw4fW/AnDK5VeDoVNdWkJ0QiLTzl7k184TQG15Y7ef6WvLG4fUHjftNXEcPkzVqtW0FBbSWlVFw5YtaGFhJP/q4UFP3QN4K/ctShtLGRk2khum3UCgvZ+OS0w63UagYrw7Yv/cUsC9q3Z4UitLa5s55/GPePSK6Vw1J61/tgh+j7yXqIdoohaih3pYpcmgOlDC4KPrOnv37iUrK6vXpReFwaUnTTa/9QYN1VXEJqcw76pvYQ8YXt/6R8aH+oxAobUdH2Laa1L71tsU33+/Z28n2qr3RJ57DkGjUgfdlha9hZd3vgwwMOcJYOZS2PCUj4OG63gnDpXVc++qHehGhzMxDLhn1Q5OHhMnVfhOQOS9RD1EE7UQPdTDSk0kDikIQ0hNaQlf/fstABZ8+3vDznkCmDwvudsI1OT5g7++yBeOvDyX86Tr4HR6nCeAmn/9G0de3qDb8O+D/6aovoi4kDiuyLxiYJ3Fj4Nz260D1Wyg2V2Pl/7BawGJf24p8Bll0zSN17cUeD1mJnpeHtu3bUMfgv+3IAiCIJiNOFCCMIR88tqrOFtaSJuSxbg5p1ptzqAQMzKMrIWjPH9rWtvneg0WLp1MTGKYZbZVr17tc/8tNI2qN1cN6vhO3clL2a7Ke9+d+l1CAkxIO3CXLo8aBVMXw/yfwI+3+CxhfqSy0ff+U4bBkUprUiwFQRAEwV8YUArfkiXdl9mtqqoaSPdCL5FQsnp406Ro3272bvwENI2zvnvzkKy1sYqqYw0AjBwTRdSIECLjQ5k8P9lS58lut9NaWNTN/lsGLYWFgzJ2Xk0ea3LX8NWxrzhcc5jwwHCumXiNOZ1nv+F6XHAXzLmhx9NHxYa6Xnte/g+apjEqdmhSLOW+pR6iiXqIJmoheqiHVZoMyIGKjo7u8fh3vvOdgQwh9IDdbicrK8tqM4R2eNPEMAw++suLAEw761wSx/Rvg2l/oLq0gfycCtDgvBunEJ1gndPkxq1JyahR3UagAlPNXwO1JncND256EA0NZ1u0qKGlgffz3ufy8ZcPrPNju+DYTrAFwpTLevWUq+ek8dzHB7weMwyDa4agiITct9RDNFEP0UQtRA/1sFKTATlQr7zyill2CP3EMAxqa2uJjIwc1hENf8KbJns2fkJx7l4Cg0OYf03Xhf3DiZ2fFAGQPiVeCecJjmsSvWQx5S9537wWwyDmygGuSepEXk0eD256EL3TRrcGBr/c+EtmJc7qfclyb7ijT5nnQVjv9nEaOyKc28+dwIr39wFg01yRJ8MwePSK6UNSQMJ48EEcZWUEjRiB9uCDgz6e0DPyXqIeoolaiB7qYaUmsgbKz9F1nYMHD6Lres8nC0NCZ01aHM18+tqrAJxy2ZVExA7fDUtbHU52b3Q5UNPOHPyKdr3FrUlAejrJDz98/ICmgd0ONhvJDz9M0OjRpo67JncNmo8y4xoaq3NX96/j8gPw/oOw+VnX32PO6NPTI4Jd352lxYbyjekpfH9BBuvuPGvoSpi/+CLBzzwDL744NOMJPSLvJeohmqiF6KEeVmoiZcwFYZDZ+u+3qS0rJSJ+BLMvvtxqcwaV/V+V0FzfSkRcMKOnxVttjleivnERxQ89BE1NhM+bR8iUKcRceYXpzhNAUV0Rho+ShAYGRXVFfe9021/hnVvbOml701j7CwiJ9lk4ojMbD5QD8O3TRvODM4d2U2NBEARB8HfEgRKEQaS+qpLNb7nSrBZ867sEBg/vDfh2fuIqwjBtQSo2m5opDg1ffAFNTQQkJpL24guDGvZPiUjpNgKVEtHHTZPLD7icp04pgRg6vPNjSD/Na+ny9rQ6dTYfdDlQ88ap6eQKgiAIgspICt8wQHbFVg+3JhteX0lLUyNJ4zKZNP9Mi60aXEryajh2qAabXWPyvD46BkOAW5PadesAiFi4cNBzphdnLu42ArUks/tKpl3YthJ8OGSgtR3vnp1FNdQ2txIVEsDUlO4LAQknFvJeoh6iiVqIHuphlSbiQPk5drudSZMmSWlNhXBrUl6QR/b69wE46zs3o9mG9+Xmjj6Nm5VIWFSQxdZ0xK2JzWajbv1HAESevXDQxx0dNZrl85Z7/tbQsGt2bJqN5fOW972ARFU+3e5SXJXf7dMPldXzyHu7AYgPDyK/oqFv45uE1ulRsB55L1EP0UQtRA/1sFKTfqfwLVu2rNfnrlixor/DCD2g6zqVlZXExsZiG+Yf0P0FXdepqKhwlS03DCbMPYPUSVOsNmtQaapvIfeLYwBkKVQ8wo37OgktPkrr0aNooaGEnXbakIx92bjLeGLLE1Q0V3BK0ilMGzGNJZlL+ld9LyadbiNQMb77/OeWAu5dtQO9zf86XNHAOY9/xKNXTB+64hFtGLhm4X4UrEfeS9RDNFEL0UM9rNSk3w7Utm3bOvy9detWWltbmThxIgD79u3Dbrcze/bsgVkodIthGBQUFBATE2O1KUIbhmGwbf0HFOTswB4QwIJrv2u1SYPO3s+P0tqiE58aTtI49dLC3NdJyqefARA+fx624OAhGfto/VEqmiuwa3Z+f87vCQ0YwEa1M5fChqd8HDRcx71wqKy+g/MErn10DeCeVTs4eUzckJQvF9RF3kvUQzRRC9FDPazUpN8O1Pr16z2/r1ixgsjISP785z8TGxsLQGVlJTfccANnnNG38rqC4O84W1vZv+6/AMz6xuVEJyZZbNHgYugG2R8fAWDamaOU3h+j7iPXfSty4eCn77n5uuxrACbEThiY8wSuAhGX/gHe/mFbgwaaDTBc7T4KSPxzS4FLF6Nr+p+maby+pYB7Lpg0MNsEQRAE4QTBlHjX448/ziOPPOJxngBiY2N5+OGHefzxx80YQhD8hh0f/IeGijJCo6I59fKrrTZn0Dmyt5LqkkYCQ+xMOGWk1eb4pqKC5pxdoGlEnDl0BT2+LnE5UCclnGROhzO/DZFtRTrGLoD5P4Efb+m2hPmRykYML84TuL7BO1LZaI5tgiAIgnACYEoZ85qaGkpLS7u0l5aWUltba8YQQjdERkZabYLQRmNdLZ+v+gcAc6+6luCwMIstGnzcxSMmnZpEUIi6OyOE7dqFEwidPp2AESOGbNwdpTsAOCnRJAfK0QC1xa7fr3wFwnsuRT4qNrTbCNSo2AFGxvqIsWABjQUFhKSlyRoohZD3EvUQTdRC9FAPqzQx5dPO4sWLueGGG3j88cc55ZRTANi8eTN33303S5b0sUyv0CfsdjvjxslGmKrw+ap/0FxfR/yodE465wKrzRl06iqbOPR1GQBTFSwe4cZutxOavZM6IOLss4ds3GZnM7sqdgEmRqDKcwEDwuJ75TwBXD0njec+PuD1mGEYXDPERSRsr73G8P9qwb+Q9xL1EE3UQvRQDys1MSWF79lnn+XCCy/k2muvZfTo0YwePZprr72WCy64gD/+8Y9mDCH4QNd1jh49iq7rPZ8sDCoVRYVs/9+/ADjpkitA4bVAZpHzWRGGbpCSGUN8SoTV5vikta6Ouo0bAYhYeNaQjbu7fDeteitxIXGMihhlTqele12PCb1fszR2RDiPXjHd87emgd2mYdPg0SumD3kBCblvqYdooh6iiVqIHuphpSamOFBhYWH88Y9/pLy8nG3btrFt2zYqKir44x//SHi4VHYaTAzD4OjRoz7XNwhDxyd/ewXd6WTMjNloMfHDXhOnU2fXp0UATFM4+gRQv2kTtLQQOGoUwZmZQzbu16Wu9U/TE6abV1yjdI/rccSEPj3tqjlppMS4NhycmxHP9xdksO7Os4a8hDnIfUtFRBP1EE3UQvRQDys1MXXBQnh4ONOnT+/5REEYZuTv3MGBLZ+j2Wws+PYNFFZUWW3SoHNoexkNNQ5Co4LImJFgtTndUtdWNTT8rDOHtEqg24EyLX0P+hWBAtB1g7JaBwC/u+okUmOGdt2TIAiCIAwXTNt16tNPP+W6665j7ty5FBa6FpWvXLmSzz77zKwhBEFJdN3JRytfBOCk8y4kLnXov9G3gp1tpcunnp6CPUDdTQUNXaf+448BiBjC8uUw2A5U3yJQZXXNOJw6Ng1GRg7NHli+sJ17LhOvuALbuedaaocgCIIg9AdTPvWsWrWK888/n9DQULZt20ZzczMA1dXV/PrXvzZjCMEHmqYRFxen9N47w52cjz+k9PBBgsPCmXvltSeEJhVF9RTuq0LTYMrpKVab0y1NO3bgLK+AsDDChnBj76P1RylpKMGu2ZkaP9WcTlsdUHHQ9XsfI1BHqlylypOiQgiwW+zw5uYSevAg5OZaa4fg4US4b/kboolaiB7qYaUmpryLPvzwwzz77LO88MILBAYGetrnz5/P1q1bzRhC8IHNZiM9PR2bTd0IwHDG0djAhn+sBOC0JdcQFhV9Qmiy81NXlHnM9BFExoVYbE331K7/CIDIMxdgDxk6W93RpwmxEwgLNKnmXMUBMJwQFAmRyX16alGbA5U6xCXLvaF1ehSs50S4b/kboolaiB7qYaUmpoy4d+9eFixY0KU9OjqaqqoqM4YQfKDrOvn5+VIVZoipLC7k09de5bX77qK+qpLI+ARmXHAJMPw1cTS1sneTax+irDNNqiw3iNStWweAY/pJQ6pJ+wISpuFJ35vY5yqPhW2b5aYosPbJ6PQoWM9wv2/5I6KJWoge6mGlJqY4UElJSezfv79L+2effUZGRoYZQwg+MAyDiooKqQozhOxc/z6v3PEDvnx3NeVH8gGorShjzwbXOpvhrknul8dwNDmJTghl1KRYq83pFseRIzTn5oLdTk3m+CHVxLOB7qCsf5rY56e6I1AqOFCCegz3+5Y/IpqoheihHlZqYooDdfPNN3PbbbexefNmNE2jqKiIv/3tb9x1113ccsstZgwhCEpQWVzI2ueexjAMjPbfeBgGa599isqjRdYZNwQYhkH2R670vWlnpqLZ1E7Cqlvnqr4XOmsmRAzdPlUOp4Nd5SZvoAtQ1n8HqrCqCUCq7wmCIAjCADGljPm9996Lruucc845NDQ0sGDBAoKDg7nrrru49dZbzRhCEJRg5/r3XalT3r7t0DR2rlvLvGuWDr1hg0zVsQZ2byymJK+G8sI6bAEak+b2bQ2OFdR95C5ffhZVQzju7ordtOgtxAbHkhZpYlVGdwRqRH8cqLY1UOJACYIgCMKAMMWB0jSNX/ziF9x9993s37+furo6pkyZQsQQfuN7oqJpGklJSVIVZoioLi3x7jwBGK7jw02T3RuLWL9yD2hgtAXd9FaDQ1+XMXmeuk6Us7aW+i++BCBy4dkkhYUOmSZflwzCBrq6E8raqtYNIIVPhSISgnoMt/vWcEA0UQvRQz2s1MTUjXSDgoKYMmWKmV0KPWCz2UhKSrLajBOG6ITEbiJQruPDSZOqYw2sX7nHNd1OU16/cjfJ46OJSTSpwpzJ1H/6KbS2EjR2LCEZYxlKRXaUDcL6p8rD4GyGgBCISe/TU+uaW6lubAEgOdr6qolShU89htN9a7ggmqiF6KEeVmrSbwdq2bJlvT53xYoV/R1G6AGn08nhw4cZM2YMdrvdanOGPdMWnscX76zyftAwmHb2omGlye6Nxa5Pud6Cbhrs3lDM3MXjhtqsbnEcPkzVqtVU//vfAITOnjXkmgzKBrpl+1yPIzLB1rc5uKNPUSEBRIYE9nD24GNw/GUlTpQaDKf71nBBNFEL0UM9rNSk3w7Utm3benWehDoHn9raWqtNOGGITU5l5NjxHDuYC5qGhtb2SdBg0Q9uIzYpBafTOWw0qS1v9F1r2mg7rhBVq1ZTfP/9riih0wlA9arVhMyYSe34oXH0jtUf42j9UWyajWkjppnXceke12N/1j9VutP31IgWGvfdR1FuLsmZmeJAKcRwuW8NJ0QTtRA91MMqTfrtQK1fv95MOwTBL3A0NXpKl09dcDatLS1EJyQy7exFxCalWGyd+UTGh3YbgYqMV2c9jePwYZfz1Hk/CMPg2AMPwIrHIStr0O1wR58yYzLN20AX2pUwn9Tnpx4vIGF9+h6AcfPNlGZnkzQEegiCIAiC2Zi6BmrXrl3k5+fjcDg8bZqmcckll5g5jCBYxoGvvqDV0UzMyGTOv+X2YR9hnTwvmW1r87wfNGDyfHWKSFStWu17c1lNw75+PZx33qDakFeTxys7X3ENiUZeTR6jo0ab07nsASUIgiAISmCKA3Xw4EEWL15MdnY2mqZ5NrRyf7h0tqXSCOajaRppaWnD/oO8Kuzd+CkAE+ct8Pk/H06axIwMY+HSyaz7y25Pm2YDDFi4dLJSBSRaCgu7qZBoEF5fP6iarMldw4ObHkRvK1W4t3Ivl751KcvnLefy8ZcPrHPDOL4Gql97QKlVwnw4XSPDBdFEPUQTtRA91MNKTUzZSPe2225j7NixlJSUEBYWRk5ODp988glz5szho48+MmMIwQc2m434+HhsNlOkFLqhqb6Ow9u3ADBx3hk+zxtumkyel0z8KNeWBCPHRDHzvNFcu/w05UqYB6amdhuBihibMWia5NXkdXCeAAwMdEPnlxt/SX5Nfv87Lz8A790FjjpcteT7vuO6ahEo27FjxDc2Yjt2zGpThDaG231rOCCaqIXooR5WamLKiJs2beKhhx5ixIgR2Gw2bDYbp59+Oo888gg/+clPzBhC8IHT6WTPnj0S5RsCDmzZjLO1lfhR6YxI852WNdw0cTS1UlFUD8Cim6Yyd/E4pSJPbmKuWNJtBKp81sxB02RN7hpXQREvaGiszl3dv463/RX+MAe2vNzWYMCf5sK2v/Wpm+NFJNRwoIyTT4a0NNejoATD7b41HBBN1EL0UA8rNTHFgXI6nURGRgIwYsQIioqKABg9ejR79+41YwihG5qamqw24YRgz8ZPAJg494wew8XDSZOjB6oxdIPI+BCiRqjxAdwbQWPGkPzwwx2jUHY72GyMfOghmmNju/YGRAAASQxJREFUB23soroiDB/lCg0MiuqK+t5p+QF451bX7sXtIlsYOrzzY9fxXtDq1Dla43o9qpLCJ6jJcLpvDRdEE7UQPdTDKk1McaCmTZvG11+7Kk+deuqp/Pa3v2XDhg089NBDZGRkmDGEIFhKQ001+dnbge7T94YjhfsqAUidEGOtIb0gZsliYq/7NuBK6Yv/3vcY95/3iF58+aCOmxKR0m0EKiWiHxUat63E9y5JWtvxntmSV4luuPzKVzYc4lBZfd9tEQRBEATBgykO1H333YfeVjr4oYce4tChQ5xxxhm89957PP3002YMIQiWsv+LTehOJwljMohLGWW1OUNK4b4qAFInDF4Ex0xaj7rW1cRedx2Jdy4jaLRJVfC6YXHm4m4jUEsyl/S906p8ut2Eq6rndVX/3FLAt1743PUMA1749BDnPP4Rb2wp6Ls9giAIgiAAJlXhO//88z2/jx8/nj179lBRUUFsbKxUKxlkbDYbGRmDtzhecLF3kyt9b9K8BT2eO5w0cTS1UpLn2qQuxQ8iUABNbWnDIZOOV6sbbE1GR41m+bzl3L/hfsAVdbJpNgwMls9bTnpUet87jUmn2whUTPd9Hiqr595VOzosC3Pqrj/uWbWDk8fEMWZEeN/tEoYlw+m+NVwQTdRC9FAPKzUZtBHj4uLEeRoCNE0jKipK/teDSH1VJQU5OwGYOPf0Hs8fTpoUt61/ihoRQpRCm+b6wllXT0u+KzITPPG4AzUUmlw+/nJGhI4A4NTkU7l+6vW8e/m7/S9hPnMp3UagZi7t9un/3FLQban91y2MQmmdHgXrGU73reGCaKIWood6WKmJKQ7UI488wssvv9yl/eWXX+bRRx81YwjBB06nk+zsbKkKM4js+/wzDEMnefxEohOTejx/OGlS1Lb+KcVP0vea97n2SgpISCAgLs7TPhSaOJwOyhvLAXjkjEe4ffbt/Ys8uYkfB5f+oW3jrTY0u+vvS//gOt4NRyobPXvydcYwDI60VeazAqPTo2A9w+m+NVwQTdRC9FAPKzUxxYF67rnnmDRpUpf2qVOn8uyzz5oxhNANcjEPLns8m+f2vnjEcNHk+PqnGEvt6C3Ne/cAEOzlfjTYmrgr8YUGhBIfEm9OpzO/DUvfcv2u2WDeT+DHW1ztPTAqNrTbCNQoRUqaC+owXO5bwwnRRC1ED/WwShNTHKijR4+SnNx1U82EhASKi4vNGEIQLKGmrJSivbtA05jQi/S94USH9U+ZMdYa00ua9nRd/zRUFNS6UuJGRY4yN50gINj1GJ0G5z3YY+TJzdVz0rqNQF0zJ80kAwVBEAThxMIUByotLY0NGzZ0ad+wYQMpKf0o3ysIirBvkyv6lDpxCpFxIyy2Zmjxt/VPAM1tBSSCJ3aNQA02R+qOADAqwuQqjbVHXY+RPaePtmfsiHAevWK6529NA7tNw6bBo1dMlwISgiAIgtBPTKnCd/PNN3P77bfT0tLC2WefDcCHH37IT3/6U+68804zhhB8YLPZmDhxolSFGST2tjlQvam+52a4aOJv658MXaepbQ1U5wjUUGhypNblQKVFmhzZqXOVZe+rAwVw1Zw0nl6XS0FFI6dlxDMjLYZr5qRZ7zx98AFN9fUEh4sTpwrD5b41nBBN1EL0UA8rNTHFgbr77rspLy/nhz/8IQ6HA8MwCA0N5Z577uHee+81YwihG4KCgqw2YVhSdbSYowdy0TQbmafO69Nzh4Mm/rb+qaWgAKOhAS0oiKAxY7ocH2xN3A7UqMhBikBF9N2BAmhoduWHP3DxFCYnR5ll1cCYOJFAXQf5IKIUw+G+NdwQTdRC9FAPqzQx5d1L0zQeffRRSktL+fzzz9mxYweVlZU88MADUu5xkNF1nezsbM9GxoJ5uKNPadOmEx7T+yjMcNDEn9c/BWdmogV0/G5oKDQpqGtbAzVoKXwj+/xUwzCoamwBIDZMnTf+4XCNDDdEE/UQTdRC9FAPKzUZkAO1adMm/vWvf3n+joiIYPfu3VxyySWMGjWK73//+zQ3Nw/YSG88+OCDaJrW4cdbJUBB6C97N7o2z504t/fV94YL/rn+yV2Bb+gLSBiGMYgpfP2PQNU2t3o2z40JCzTTKkEQBEE4YRmQA/XQQw+Rk5Pj+Ts7O5sbb7yRc889l3vvvZd3332XRx55ZMBG+mLq1KkUFxd7fj777LNBG0s4sSg/UkBp/mFsdnuf0/eGA/62/gnaVeCbOPQOVEVTBY2tjWhopESYXDin1r0Gqu8RqOoGV/QpOMBGSKDdTKsGhPb3vxO3ejXa3/9utSmCIAiC0GcGtAZq+/bt/OpXv/L8/Y9//INTTz2VF154AXBV5/vlL3/Jgw8+OCAjfREQEEBSUv/WBQhCd+zd5Io+jZ4+k9CISIutGXr8bf0TQPOetgiUBRX43CXMR4aPJMhucqrcACJQlQ0OQK30PQDt3ntJLyzESE2F666z2hxBEARB6BMDcqAqKysZOfL4t6Iff/wxF154oefvk08+mYKCgoEM0S25ubmkpKQQEhLC3LlzeeSRR0hPT/d5fnNzc4eUwpqaGsC1CZd7Iy5N07DZbOi63mEPFXd75w27fLXbbDY0TfPaDnTJ1/TVbrfbMQzDa7vbxilTpmAYBk6ns0N7Zxv9aU49tQ/mnAzDYG/b5rkTTju9w7HezKm9Ju5zrZ5Td7Z3bnetf3JdGynjY7r0o4pO7W1vqaqipagIgMDM8R3+94BHE5vNNiivvfyafMCVvmeqTk4H9oZy1xwiRoIP233NqbLedb+LDg3wjKPCa6996oMv21W+R3ibU0/tqs/JMAymTZvWp7mqPqfubPeHOWmaRlZWluf9fTjMyZ91Anzq4a9zGg46tf8MbMacersx74AcqJEjR3Lo0CHS0tJwOBxs3bqV5cuXe47X1tYSGDg4efennnoqr776KhMnTqS4uJjly5dzxhlnsHPnTiIjvUcMHnnkkQ72ucnJySEiIgKAuLg40tPTOXLkCBUVFZ5zkpKSSEpK4vDhw9TW1nra09LSiI+PJzc3l6amJk97RkYGUVFR7Nq1q4MYEydOJCgoiOzs7A42ZGVl4XA42Nu2jw24XkhZWVnU1tZy8OBBT3tISAiTJk2isrKSgoICj+MUGRnJuHHjKCkp4ejRo57z/XFObqyYU+2xYiqKjmAPDKQpNKLDvHo7J6fTSVhYGJMnT1ZiTn3RqTLfgaFD1IgQCGohO/v4XFXSqf2cdv/3fwQBRnw8u/LzyYqO7qKTYRjMmDFjUF57W49tBVwFJMzUKbChhKmAodnRQ2JwNDX16XoqLK0CINBwkJ2dbblO7tfelJYW3DGxpj7OSbXX3nC57wGMHj2ayMhIdu7cOWzm5M86jR07lqCgIHJzczt8APXnOfmzTqNGjSI8PJzDhw93+DLen+fk7zqNHDmSgwcPdrB9oHOqq6ujN2iGr63qe8Ett9zC119/zaOPPspbb73Fn//8Z4qKijwlBf/2t7/x5JNP8uWXX/Z3iF5TVVXF6NGjWbFiBTfeeKPXc7xFoNLS0qioqCAqylXe19+899bWVnJycpg6dSp2u12+kTBhThv+sZIv33mT8SfP5eI77u1yfk9zcjqdHk2CgoKUmFN3tndu//ytg2x/v4BJ85I5e+kkZXVqb3v5yr9S+utfE37mmaT+8Rmv3yjl5OQwffp0jz1mzun+jffz7sF3uXXmrdw4teP9Z0A6FX6F/eXzMKJS4I5dHebU3kZf19OrGw7x4Lu7OH/qSP547cw+zak72wccgRo9Gs2dwldQ4Hf3CG9z6qld9Tm5r5GsrKwu1XP9dU7d2e4PczIMg507dzJlyhTs9uNrGP15Tv6sk67r5OTkeNXDX+fk7zoZhsGOHTs8n4HNmFNNTQ1xcXFUV1d7fANvDCgC9atf/YolS5Zw5plnEhERwZ///OcO9dhffvllFi1aNJAhek1MTAwTJkxg//79Ps8JDg4mODi4S7vb8WiP+x/q7dyhbtc0zWu7zWbDbrd7jrvP8WW7v8zJG0M1J8Mw2Pe5K31v4rwz+j2n9r9bPae+thfvrwZc659U1akzLbltG+hOntThnPa/uz8UDsacCusKAVcKn6l6NJS6bI5Mhjb7+3I91TS1Aq41UN4+gHVmqF577d8yfdnuL6+94XDfa2+fLxt99aP6nPrTrsqc2qfdenuOP87JzHYr5zRQPXy1i059a3c6nV0+A/fHxvbtvo53ZkAO1IgRI/jkk0+orq4mIiKiy6BvvPGGJzVusKmrq+PAgQMsXbp0SMYThifHDuRSXXKMgOBgxs06xWpzhhx/3P8J2lXgs2grgyN1bZvomr4HVLHrsZ+b6LqLSMQoVkRCEARBEPwZUzbSjY6O9uqxxcXFDdoOwXfddRcff/wxhw8fZuPGjSxevBi73c63vvWtQRlPZXrrLQs9s6dt76dxs04hMCSk3/34qyb+uP+T4XTSnJsLQHA3JcwHS5Om1iZKGkoAGBVptgPV/xLmcLyMuewBJfQGf71vDWdEE7UQPdTDKk0GFIGykiNHjvCtb32L8vJyEhISOP300/n8889JSEiw2rQhxW53LdITBo6h6+z93LWX2MT5C/rdjz9r4o/7Pzny8jCamtBCQgjyUYVzMDUpqnNV/4sIjCAmOMbczgdQwhygqtHlQMUq5kBpnR4F6/Hn+9ZwRTRRC9FDPazUxG8dqH/84x9Wm6AEhmFQW1tLZGRkl4W/Qt8o2reHuvIygkLDGHvS7H7348+a+PX+TxMmoPn4JmowNfGk70WOMl/vAUag3Cl80aFqpfAZuJwn96NgPf583xquiCZqIXqoh5WamJLCJ1iHruscPHiwS4UToe+40/fGn3waAQNIPfVXTdqvf0r1owiUZ/1TN+l7g6mJexNd09c/wYAjUMqm8CUl4UhMBNkIXRn89b41nBFN1EL0UA8rNfHbCJQgmImuO9nnTt+bd4bF1lhD+/VPkXH9X/811DS37TsRPMm3AzWYHKl1RaDSItPM73yAEajjKXxqRaD0zZvZlZ1NVlYWsqJAEARB8DckAiUIwJFdO2moriIkIpLRWTOsNscS3Ouf/Cn6BNC01+IKfLXHU/hMRXdCvas4RX8iULpuUOWpwqdYBEoQBEEQ/BhxoIYBIQOoFie42LvRtfdT5ilzsQcM/MOmP2rij+ufnFVVtLbtWN5dBT4YPE0GrYR5fRkYOqBBeN+L49Q2t6K3bbgUHaqeA+WP18hwRzRRD9FELUQP9bBKE0nh83PsdjuTLPrmfbjgbG1l3+YNAEyc1//qe278UZMO+z/5UQTKvf4pcNQo7N3sOTdYmhiGMXgRKM8eUIlg7/ut2h19Cg20ExKoVqKcP14jwx3RRD1EE7UQPdTDSk0kAuXn6LpOeXm5LGocAPk7v6aprpaw6BjSpgy8HKY/auK/65/aKvD1sP5psDQpayyjydmETbORHJFsat/Uta1/iujn+qcGNUuYAxjf/z7Nl12G8f3vW22K0IY/3reGO6KJWoge6mGlJuJA+TmGYVBQUIBhGFab4rfsbau+N+G0+dhM2JDNHzXx2/VP7gp8E7p3oAZLE3f6XnJ4MoE2kx2V2rYKfJED2wMqWrECEgC89x7B77wD771ntSVCG/543xruiCZqIXqoh5WaiAMlnNC0trSQ+8UmACbOPTGr7wEc2VsF+Nf6J4CmXkagBovBLWE+0AhUWwEJBdc/CYIgCII/Iw6UcEJzePtXOBobiIiLJ3XiFKvNsQRHYyul+f63/sloacGRux8YhhX4YOARKHcKX7g4UIIgCIJgJuJADQMiIyOtNsFv2bvJVX1v4tzT0WzmXQ7+pIm/rn9yHD6M0dKCLSyMwFE9OzCDocmgOlADjEBVtkWgokMVTOETlMSf7lsnCqKJWoge6mGVJlKFz8+x2+2MGzfOajP8kpbmJg5s2QyYU33Pjb9pUujn65+CJ07s0fkdLE08KXwqR6AULCKhdXoUrMff7lsnAqKJWoge6mGlJhKB8nN0Xefo0aNSFaYfHNy6hZbmJqITR5I0boJp/fqbJv64/xP0vgIfDJ4m7iISaZFppvYLHHeg+rGJLkB1WxEJFTfRNTo9Ctbjb/etEwHRRC1ED/WwUhNxoPwcwzA4evSoVIXpB+7qexPnnoGmmfdduD9p4q/rn6BdBb6JPa9/GgxNGlsbKWssAwahiIRhHE/h62cEqtJTREJS+ISe8af71omCaKIWood6WKmJOFDCCUlzQwOHtm0BzE3f8zf8df0THK/AF2JRBb7C2kIAIoMiiQ6ONrfzhgrQXRGkge4DpWIEShAEQRD8GXGghBOSA19tprXFQWzKKBJGj7XaHMvw1/VPreXlOEvLQNMIzsy0xAb3+qdBSd+ra0vfC42DgP5FkDxlzFXcB0oQBEEQ/BgpIuHnaJpGXFycqSloJwKDlb4H/qWJv65/atrjij4FpqdhCw/v8fzB0MS9/mlQ9oAaYAEJOL6RropFJPjmN6k7coTwXlRPFIYGf7pvnSiIJmoheqiHlZqIA+Xn2Gw20tPTrTbDr2iqq+Pw19sAmDTP/M1z/UUTf17/1NyH9U8wOJqoXMJc1w1PEYloBR0o7bHHiLDaCKED/nLfOpEQTdRC9FAPKzWRFD4/R9d18vPzpSpML6gsLuTT115l1SMPoDtbiU1OJX6U+Reev2gyHNY/9aYCHwyOJoOawjfACFRNUwvuNbUqFpHwl2vkREI0UQ/RRC1ED/WwUhNxoPwcwzCoqKiQqjA9sHP9+7xyxw/48t3VHN2/D3A5VDs/+sD0sfxBk6pjDXz570MABAbbqTrWYLFFfaN5r0vDkEm9i0ANhiaeFD4FI1DuAhLhQXaCAtS7zfvDNXKiIZqoh2iiFqKHelipiXrvrIJgMpXFhax97mkMw8Do9C3F2mefovJokUWWWcPujUW89uDnHDtUA0BFUT2vPfg5uzcWW2xZzzgOH+bY735H8z6XA9Wb9U+DgW7onip8g7MGqk2L/m6i69kDSr3okyAIgiD4O+JACcOenevfB18LDDWNnevWDq1BFlJ1rIH1K/fQ/ssaw3D9rF+5m6oSdSNRVatWc+Cib1Dxyqu4J5B/w/eoWr1mSO3Iq8njkc2P4NAdaGg0O5vNH6R2YBEozx5QCq5/ArBNnUrW6adjmzrValMEQRAEoc+IA+XnaJpGUlKSVIXphurSEvAV3jXajpuIyprs3lgMvszSYPcGNaNQjsOHKb7/ftB1148bXaf4vvtw5OV1+3yzNFmTu4ZL37qUf+77JwAGBkveWcJb+98aUL8dKD8Apbtdv+/9j+vvPlKt+h5QdXXY6+uhrs5qS4Q2VL5vnaiIJmoheqiHlZqIA+Xn2Gw2kpKSsNlESl+ERET4zo/VIDoh0dTxVNaktrzRpy+J4TquIlWrVncbRax6c1W3zzdDk7yaPB7c9CC6oaMbx5043dD55cZfkl+T3+++PWz7K/xhDjRVu/7eucr197a/9bqLQ2X1vPGVq8DF0eomDpXVD9wuk9E6PQrWo/J960RFNFEL0UM9rNREXgV+jtPp5MCBAzidTqtNUZL8nV+zZ8Mnvk8wDKadvcjUMVXWJDg8EHw5UBpExocOqT29paWwsJsoouE63g1maLImdw2aj4/8Ghqrc1f3u2/AFWl651Zo55xhOF1/v/PjXkWi/rmlgHMe/4iNB8oBOFhazzmPf8QbWwoGZpvJGJ0eBetR+b51oiKaqIXooR5WaiIO1DCgtrbWahOUwzAMvnxnFW8+fD/N9XVExiegaRqazYam2doeNRb94DZik1JMH19FTRrrHOTnlPs+wYDJ85OHzqA+EJia2m0EKjA1tcc+BqpJUV0Rho+P/AYGRXUDLEaybSXd5lduW9nt0w+V1XPvqh3oxnFf0wB0A+5ZtYPDCkaiBLVQ8b51oiOaqIXooR5WaSIb6QrDDkdjA//905Pkbt4IwNQzz+Wcm26hrqKcnevWUl1aQnRCItPOXjQozpOKOBpb+dfvv6amrImg0AAcTa2unGHDcH1mN2Dh0snEJIZZbapXYq5YQvmLL3o/aBjEXHnFoNuQEpHSbQQqJWKAr6WqfHzHZIy2477555aC45p2tk/TeH1LAfdc0Luy74IgCIIg+EYcKGFYUX6kgHce/z8qio5gswdw9g3fZ/q5F6JpGrFJKZxx7fVWmzjktDqcvPenHZTk1RISEcjiO2dhs2vs3lBMbXkjkfGhTJ6frKzzBIDdDoGB4HC4IlHuH8Mg+eGHCRo9etBNWJy5mFd2vuL1mIHBkswlAxsgJp1uI1Ax3W/6fKSy0edaP8MwOFKp5vo2QRAEQfA3xIHyczRNIy0tTarCAPs+/4z//ukpWpoaiYiL55I7fkbKhKH/xl0lTZxOnf+9mEPhvioCQ+xccutJxCW79k6au3icxdb1DsPppOhnPwOHg5Bp0wg77TRai4oITE0l5soreuU8maHJ6KjRXDXxKl7f+zoANs2GhoaBwfJ5y0mP6t7B6ZGZS2HDUz4OGq7j3TAqNrTbCNSoWDXXtwlqoNJ9S3AhmqiF6KEeVmoiDpSfY7PZiI+Pt9oMS9GdTj79+5/Z8q5rEX/alCy+cdtPCY+JtcQeVTQxdIN1f9nN4R1l2ANtfOOH00kcHWW1WX2m4s9/oXHLV9jCwkh98gmCRvV941ozNNENna+OfQXAzMSZJIUlkRKRwpLMJQN3ngDix8Gki2H3O66/NRue/MpL/+A63g1Xz0njuY+9F5owDINr5qQN3EaTkCp86qHKfUs4jmiiFqKHelipiThQfo7T6SQ3N5fMzEzsdrvV5gw5DdVV/Oup31KQswOAOZcs4YxvfRebhf8LFTQxDINPX9/Hvs3HsNk0Lvj+NFInWONQDoTm3FxKn3wSgMR77+mX8wTmaPJB3gfsr9pPRGAEvz/790QHR/erH58YBpTucf2euQiCI11pezOX9ug8AYwdEc6jV0zn7jdd14IG2GwahmHw6BXTGTMi3Fx7B4CBxzUUJ0oRVLhvCR0RTdRC9FAPKzURB2oY0NTUZLUJllCcu5d3nniEuvIyAoNDOP+W25k493SrzQKs1+SLdw+R/XEhaHDODZMZkzXCUnv6g9HSQtG9P8NwOAhfcAYxV101oP4Goolu6Pzp6z8BcN2U68x3ngCKtkLZPggIgStegpC+RwuvnD2Kx/63l2O1zZwyNo5Zo2O5Zk6aUs4TgP7MM+Tv20f6hAnIxxB1sPq+JXRFNFEL0UM9rNJEHChBeSqLC9m5/n1P9bypZ51HQc4O1r/6HM7WVmJTRnHZnT8nfpQJaVTDgO0f5LPlvcMAnPmtiUw4Oclag/pJ2XPP05STgy06muRfPWxp3rk7+hQZGMl1k68bnEG+dq2tYtLF/XKewFXK/FhtM0F2G6/ccDJhQYre4i++mOrsbMjKstoSQRAEQegzir67CsOBzo7PtIXnEZvc83497dm5/n3WPve0p+IamsYXb7/pOT7+5Llc8MM7CA5TuILcIFN1rIHdG10V9ZobW8nPqQDgtMszmLagb/9vVWjcmUPZs88CkPTA/QSOTLTMliGJPrU6YGfb6/qkb/W7mw37ywCYNTpGXedJEARBEPwceYf1c2w2GxkZGdhs5u2JPFiOz5fvrGLRD25j2lnn9tqOtc897SrN7NkZ9HiFsTmXLGHBt29QriLOQDRp7wxFxocyeV4yMSN9O4e7NxaxfuUecBdfa/v3pE+NY9b5g1/au7c4Dh+matVqWgoLXdXzrlhC0JgxXs9xFBRQ//nn0NpK5IUXEP2Nbwx4/P5okleTx5rcNXx17Cv2V+0nPCCc66YMUvRp/wfQUA7hiZBxVr+7+TTX5UCdkZlgkmGDw2Dct4SBIZqoh2iiFqKHelipiThQfo6maURFmVdZbbAdn7XPPkXMyGTCoqNpaW6mpbmJ1qYmWhzNtDQ309rW1tLczMGtX/rcVlTTNGw2m3LOExzXZCDOkHt1/ba1eSxcOpnJ85K7nF91rIH1K/d0cJzcFOyqoLq0cUj2durJOapatZri++/v8Joqf+klkh9+mJgli7ueo+ue10vY7Nmm2NjddeJ2lIrqikiJSGFx5mK2HtvKg5seREPDaTgBaGhtYF3+Oi4ff3n/DSk/ANtWujbFjUmHsWfCoY9hxz9dxzMXgb3vt+VDZfX844t81u0pASBDsTVPndG2biXK4YCgIDBJY2FgmP1eIgwc0UQtRA/1sFITzfC18+IJQE1NDdHR0VRXV/vtReF0Otm1axdTpkwZcAWSyuJCXrnjB14349Q0jRuefI7IuBE01dW2/dTRWF9LU21th7aCXdlUFhcOyJae0DQbE+aezsW3/XRQx+kPTqeTdau2kru+tmOpMQOfzlD5kVr+8X9fdnGE3GTMGAFoNDe20tLUiqPJSV1lE60O3ev5mg1mnjd60Pd68uYcuTe3jVmyGMfhwxy46Bsup6gzNhtpLzyPs6qaorvu8rp/ETYb4/7z3oA3yj1YeZCXNr+EI8RBamQqizMXMzpqNGty13gcJQMDDQ3dcNlqeBHDptl49/J3e1e2vLOzFBwF636F58Xg9nw1G7SNiWZzlSyf+e0euz9UVs8/txSw8UA5OwqqXL6n4bYTHr1iOlcpVLq8PcaoUWiFhRipqWhHjlhtjoC57yWCOYgmaiF6qMdgaNJb30AiUMMAp9NpSj87179//INwJwzD4JU7bsHQTRhL0wgODSMwOJiA4GACg0M8j4Huv4OCKc07yLFDB7x/sNYgOsG6dTHdUVXSwL71tS5nyG162+O6v+ymaH8lzhaDhppmGqod1Fc7cDS2dtvnwe1lfTPCgNryxj7b3hcchw+7nCcvzlHxffdhi4yk+q23vOsHoOsU3HhT94NoGlVvriLxzmX9tnNN7hoe3Phguy41Xsl5hZ/M/AlPb30aHe9OqFdz0Fidu5rbZ9/e/Ynb/grv3MpxZwnwNY6hd/z9nR9D+mleS5d3dpqg3Uus3b9ZN+CeVTs4eUycchX4BHUx671EMA/RRC1ED/WwShNxoAQAKo8WcXDbFgxvkYI23M6TptkIiYggJCLS8xgaEdn2dySFe3LI3/m190iWzcbJlyzhjGuv79kmd0TMqzEG085e1MvZDS17Nx3t9viejd0f90b8qAimnZFCUGgAQSEBBIXa2bOpmD2bjnr3TzSIjA/t8zh9oWrVapfD7Q1dp/DWW3vuJCAALTAQo9GHs2cYtBT2P5qZV5PHg5se7Ogktf2/ntz6ZJ/7MzAoqivq/qTyAy7nyei9Y9YRzRW5OvfBDq3/3FLAvatcezzpvcgb0DSN17cUcM8Fk/pphyD8//buPC7Kcv0f+OeZEQaIkUWQHVTMhSMgLqBmibsnc8/T6VQu2TnlV0szKz3H8tv3Zccye2WpR61fR7PNUlMrKxdcstwSJAUUARcQRJFFYFRGZ+7fH8DEyAwM6/MMfN4dXxzueWbmurkcnGvu57luIiKyhAVUK1aQk41zR3/BuaO/IO/ShRqPlSQVIoaNxIN/mwZHJ2dINVywV1n4WFSHwsfDLwAjnpuD3Wvfr1gZQ8UH+gIjnpsDD19/mx6nOZUWluHC7/lWT8UDAHcfF4QN9Md9bo5wcdPApa0jUg5l49SByxbfc0sqIORP7dBjkPkmsi5tNThrrVgTQPcHqp8q2JjuZGdbPjWvgqRxhNrNHXfz8iyvQqnVaDd9OgAg/7//BSx9iiRJcAiofyfBbWnbIDXiVq0SJPi71vL37uSnaNj2sKL8tL8qLlzXYcHWUzYVTqZHEQKXC5t2FZKIiKg1YgFl51QqFbp27QqVSmVT97z87KyKoulXXM+8aBqXVCr43d8VOefOWjnlSqD3IxOgcan9dKDGLHx6xA5DQLcwJO3b/ce8hoxQXPF0/XIpEvdmIu34VRhreJcrqYBOPb0RNdz8GpoegwJxar+Va0GsFEPuPi4Y/FR37P/0TJVrkGC61qopG0gY9XrcuZpr/fQ8tRqeU6bCfdLE8mugLB0nBNwfnQQIgfyPP7b8OJXH1FNOaY7pmqbGICAw8f6JNR9UlIkaK+haSeXXTFXx9Yms8oYpdbhkVZIkBHo07SoktRxV/y0hZWBOlIX5UB45c8ICqgVwdHRE0oG92GOle55v6P04d/RXnDv6C/Iv//HJtkqtRnCPSHTpNxChfWLg0tYNSQf2Kq7w8fD1t+mUv6Z2b1e9bgN8UXL9NhL3ZiLrTKHpuPYhrriWWWr5PXQjF0PdB/jBr7MbzvxapdvfA36NVjxZ6rB358oV5L7xf9BfvGj9jhWFj2NICPyWLMGVRYssNpqobA5hyzG2uLejXrG+2GIzCABQQQVR8d+9KletVJLK1FxCQOCNAW/U3kDCPRgNXoGKesps5HLhLYunxNb4KELgMYU2kSBlcnR0lDsEugdzoizMh/LIlRN24WsBXfiOHdyPox++b9MbLJW6DUIieqJLzAMI7dsPzq7aascU5uYofsWnud3bYlwAZgWSpJIQ2ssbPYcFwyvoPuzdfAIZB3UWiyFLXfgqFV272WTFUF1Z7LBX5TQ7tbcXtEOGomjzZqtd+CrpL11C0ZatfxRiFcVVVbYcU5N7O+oJYbk4qqSSVOWNJE5+YNaFr7JQ6tW+F75J+8ZUjE28f2LNxVNl173sk8CFA9aPk9So1oWv/Iby7+/pwnfhug7zvk7Eycwim34OqorajV34qC4MBgNOnz6N8PBwdhhTCOZEWZgP5WmKnLALXyuScyrBavc8oPxUno5RfcpXmnrHwMnVtcbHU8qKj1LUtN8SAHTr54u+j3REW6/y06UMBgN8umnQd9CfkHr0ap2KIff2Lk3eetwWNXXYA4C2Y8fC97VFUGu1aPf09FoLH8eQkFo76dlyjDWmZhFWTteTKv4r/98fRdL4zuMxPGS41UKp1m57lap23RNVruW6tzga8jpQdqP6PlCV30c9ZdZ9r7JxRG2fjVR2y+8Z5Ib+oV54rE8Qu+8RERE1ERZQLcCtwgLrq0+ShM7R/TF23j+bN6gW5MzhK1Zvk1SAi5vGVDxV5dbeWRHFUH3U2GFPpYKDjw/U2vLVy4YUPo2lpmYRakmNCaETcLv4Nu4630WANsCsSApuG2x7oWRJTV33hBG4fyTgE1atODIJHWzxYWtrHMGiiYiISB4soOyY0WBA0v7dyD+fVuPqU2s//a4hjEaBS0nXra8ANMN+S3K4k51dY8OChrQWbwo5pTlWT9cTECi9U4on/J5omlMvauq6J6nLi6d7WpLboqbGERKAnsHueO8vPVk0ERERNTMWUHZIGI04e/hnHN78OYpyra+OlB+s3P2SlK74+i3s3ZCC/Gyd9YMs7LekUqkQHh5u15161N5e1luUN7C1eFPwd/W32vhOgoQAbUDT5aTGrnvVW5LbqqbGEZIEBHq42G/xlJICg8EAFa8jUIyW8HurpWFOlIX5UB45c8ICyo4IIZB+4igOf/UZrmddAgA4a9siavR4uGi1iPt//7Gb/ZKULvVYLn7+MhX62wa0cVTh7h1jnbrq6fV6ODk5NX2gTeBuYSF0v/xq/YAGthZvCn18++DjJMut0AUEJnSe0HQ5cQ+uYbWuektyW9XUgtzuW5RrtdDfvm23r5GWyp5/b7VUzImyMB/KI1dOWEDZASEELv2egF+++gxXz6cBADQu96HPmImIHPEwUtMz0CM8HME9Itk9r4HKbt7BwS/PIe23qwAA305uGP50GLLPFdncYtxoNCI1NdUuO/Xczc9H5vSnoc/IgHTffRA3bwIqVYNaize1W3dv4d0T75q+V0vqah31Al0Dm657UufhwC/vWbmxektyW/2lTxDWHMiw/Kh23qLcnl8jLRVzojzMibIwH8ojZ05YQCnc5TNJ+GXTp8g+mwwAcNA4odfD49DnkQlwcnWFoUpbaXbPa5ictELsWZ+C0oIySCoJfUd3QO9RIVCpVWjr5dyk+y0pwZ2r15A5fTr058+jjbc3gtf/F5KDQ4NaizeHfx/7N9KL0tHOqR3eH/w+9mftr9ZRr+rrpNElfv7H/69sUV61JbmlxhE28HRxRBuVhLtGYWpNLkkShBB4e1KE/Z6+R0REZOfsvoBavXo13nnnHeTm5iIyMhIrV65EdHS03GHVSeGVbCTt3/PHytHg4SjT6fDLV5/i0qmTAAC1gwN6jngY0eMmw8XNXd6AW4Cqm+K6ejih7NZdpPyaAwigrbczhk8Pg28nN7P7KKXFeGOpukmuys0NpQcO4O6VK2jj64uQDevh2KEDAMjeYe9eVTfLLb1TikPZh6CSVFj20DJEto9EZPvIpg+ics+n3FNAelz52OSNwJWTVluS2+rCdR2+PpGFn8/l4a5RIMjDGY9E+OFy0W0Eeji3iG570nvvwTc9HVLnzsD8+XKHQ0REVCd2XUB99dVXmDdvHtauXYuYmBisWLECI0eORGpqKtq3by93eDZJ2r8Hu9d9YLYR6fEdW0y3q9RqhA8ZgZiJj0Hr6WXxMbiUXDdVN8W9d2+nbgP88OBf7oejU8NeGkrPifkmuUZU9spWe3gg5LNP4RgYKHOEllXdLNcojKbOe4MDByPar+YPThotJ9b2fNKX1qvbXlWV+z5JkgRDRU4uF95CJ29XvPrn7g16bCWRVqyAb8VGuiyglEPpv7daI+ZEWZgP5ZErJ5KwuoGQ8sXExKBv375YtWoVgPJzIYOCgvD8889jwYIFtd7f1t2Gm0rhlWysf/E5q522Okf3x6AnZ8Ddx7eZI2u5iq7exBf/e9TyNf8S8MQb/VrUaXmW6C9eRMbDoy132VOpEPrjD4o7TQ8oX3kau32sxc1yVVDhuwnfmfZ2ajL5GcCqPpb3fJJUwOwT9T5l78J1HYa+e8Divk8qCdj3UqzdrzyZBAYC2dlAQABw+bLc0RAREQGwvTaw2xUovV6P+Ph4LFy40DSmUqkwbNgwHDlyxOJ9ysrKUFZWZvq+uLgYAGAwGEzXSEiSBJVKBaPRaFbYVI7fey2FtXGVSlX+KbKFcaC82Du1b/cfK0/3kFQquPv6w93HF0IIGO95s6tWq2E0GmE0GlFSUgKtVgtJkkzjlmJvjjnZMq5Wq2uc070FZWPOKeXX7D92IL2HJAEpv2QjZlynBs1JCGHKSZs2bZp8TnXNU8GWLdY3yZUkFGzeDO8XX5Q1T5Zir2mzXEmSsPXcVrwQ9YLZXCtjr8yJu7u72Xhd5yTFb4RkJQoBCdLJT2EY/JrNc6qap6+OX6p4ZEv7Pkn46rdMvDKqm6JeT/X9HaFClZehldjtbU61jSt9TkII6HQ6aLXaarHY65xqit0e5iRJEkpLS+Hi4lK+J1wLmJM95wkAdDqdxXzY65zsPU+SJOHGjRtwdXU15aShc7L1mmm7LaCuX78Og8EAHx8fs3EfHx+cPXvW4n2WLl2KN954o9p4cnIyXF1dAQCenp4IDg7G5cuXUVBQYDrG19cXvr6+uHjxIkpKSkzjQUFBaNeuHdLS0nD79m3TeKdOndC2bVukVOx3Uqlr165wdHTE6dOnkZV2zurqkxACl9PLO+6VlJTg/PnzptucnJzQrVs3FBYWIjMzEwUFBfD09ETbtm0RGhqKa9euITc313R8c86pqvDwcOj1eqSmpprG1Go1wsPDa5xTVlaWaVyr1TbqnHIuWt8UVwgg6/xVuJzWNWhOQggUFBTAz88PYWFhTT6nuubpekoKVEaj5SLAaMT1lBTkpaTImidLc8opzbG4+gQARmFESnYKTrcpz9e9eRJCoLCwEIMGDYJOp6v3nEIunYJ7LXs+1TdPyRcLYLT2+wACWYU3cfv2bUW9nur7OyLszh04VtzWUuZUSYm/92yZkxACBoMBERERSElJaRFzAuw7Tx06dMDFixdNzWNawpzsOU8BAQHIzs6Go6Mj9Hp9i5iTvefJ29sbp06dMi0iNMacSktLYQu7PYUvJycHAQEBOHz4MPr3728af+WVV3Dw4EEcO3as2n0srUAFBQWhoKDAtEzXnNX7L5s2Iv77bRAWTqWSVCr0fmQCBj0xvcbq/e7du0hOTsaf/vQnqNVqfiJRy5wOf5OGxL1ZVs/A6jksqMErUAaDwZQTR0dHxX1ydPXdd1G4fgNg6VMWtRoe06cpcgXq/YT3sSF5AwyietxqSY2pYVOtrkBV5iQiIsIUT33mJMX9H6QjKyFZiEFIakgPvFDvFah3dqXio0MXYbDwK1ktSfjHQx1bzgpUSAikymugsrJaxJxqG1f6nCpfI+Hh4WafrtvznGqK3R7mJIRAUlISwsLCzK7zsOc52XOejEYjkpOTLebDXudk73kSQuDUqVOm98CNMafi4mJ4enq23FP4vLy8oFarcfXqVbPxq1evwtfX8jVDGo0GGo2m2nhl4VFV5Q/U0rGNNR4xZATiv/vG4u0QAhFDRwKA6dS8e6lUKqjVatPtlcdYi7055mTreE1zsqSx5hT2QAAS92RZvA0CCBsYYHbf+s6p6v9v6jnVddzz0UdR+N/1Fm+DEPCcPNniPGyJsSnnNOH+CVifbDluAYFJXSZVu1/V76su79d7Tr2nAEc+sHicVLHnU33z9Fh0CD48dMHiMQICj/UNthq7kvJky3jVfzJbypxsGVf6nCpPiWlJc6rPuFLmVPlGz9J7lLo8DqCcOTXmuJxzamg+rI0zT3UbNxgM1d4D1yfGquPWbq8Wj01HKZCjoyN69+6NuLg405jRaERcXJzZipSSefgFYMRzc8r/0VKpIEmqiq8SRjw3x+ZNcLkrtu3cfVww+KnukCRAUkkVX8svCbK0KW59KTknjh06wG/JkvINctVqs69K2yS3qpC2IXhjwBtQSSqoJbXZ1zcGvFFrA4lGyUm70PK9nSQVIKnNvzZgzycA6Oh1H96eFAGVBKhVktlX7vtEzUHJv7daK+ZEWZgP5ZErJ3Z7Ch9Q3sZ86tSpWLduHaKjo7FixQp8/fXXOHv2bLVroyyRuwtfpcLcHCTt2/3HPlBDRthcPFH9FF272aI3xbWF/tIlxW+Sa0lmcSa+Sfum2ma5zapyH6gG7vlkycXrOnx1IguXC2+1mH2fqmEXPiIiUiBbawO7LqAAYNWqVaaNdHv27IkPPvgAMTExNt1XKQVUQxiNRhQWFsLDw8Pqsic1L+ZEeZgTZRGBgaZroCQWUIrA14jyMCfKwnwoT1PkxNbawO7/BsyePRuXLl1CWVkZjh07ZnPx1FIIIZCVlWW1mx81P+ZEeZgThYmKgi48HIiKkjsSqsDXiPIwJ8rCfCiPnDmx2yYSRERkn4zbtyPt9GmEh4fDtst1iYiIlMPuV6CIiIiIiIiaCwuoFkCr1codAt2DOVEe5kRZmA/lYU6UhzlRFuZDeeTKid03kWiIltBEgoiIiIiIGq7VNJFo7YxGI3Jzc6vt8kzyYU6UhzlRFjFmDPR9+kCMGSN3KFSBrxHlYU6UhflQHjlzwgLKzgkhkJuby64wCsKcKA9zojAnT8IxPh44eVLuSKgCXyPKw5woC/OhPHLmhAUUERERERGRjVhAERERERER2YgFlJ2TJAmenp6QJEnuUKgCc6I8zAlRzfgaUR7mRFmYD+WRMyfswscufEREzSswEMjOBgICgMuX5Y6GiIgIALvwtRpGoxGZmZnsCqMgzInyMCfKIu75SvLja0R5mBNlYT6UR86csICyc0IIFBQUsCuMgjAnysOcENWMrxHlYU6UhflQHjlzwgKKiIiIiIjIRm3kDkBOlRVrcXGxzJHUn8FgQGlpKYqLi6FWq+UOh8CcKBFzoizCaIRU+dWOf/+2JHyNKA9zoizMh/I0RU4qa4LaVrVadQFVUlICAAgKCpI5EiKiVujKFcDNTe4oiIiIzJSUlMCthn+fWnUXPqPRiJycHGi1WrttS1lcXIygoCBkZWWxk6BCMCfKw5woC/OhPMyJ8jAnysJ8KE9T5EQIgZKSEvj7+0Olsn6lU6tegVKpVAgMDJQ7jEbRtm1bvqAVhjlRHuZEWZgP5WFOlIc5URbmQ3kaOyc1rTxVYhMJIiIiIiIiG7GAIiIiIiIishELKDun0WiwePFiaDQauUOhCsyJ8jAnysJ8KA9zojzMibIwH8ojZ05adRMJIiIiIiKiuuAKFBERERERkY1YQBEREREREdmIBRQREREREZGNWEARERERERHZiAVUCzJ27FgEBwfDyckJfn5+eOqpp5CTkyN3WK3WxYsXMWPGDHTs2BHOzs4IDQ3F4sWLodfr5Q6tVXvzzTcxYMAAuLi4wN3dXe5wWqXVq1ejQ4cOcHJyQkxMDI4fPy53SK3Wzz//jDFjxsDf3x+SJGH79u1yh9SqLV26FH379oVWq0X79u0xfvx4pKamyh1Wq7ZmzRpERESYNmvt378/fvzxR7nDogpvvfUWJEnC3Llzm/V5WUC1IIMHD8bXX3+N1NRUbN26FRkZGXj00UflDqvVOnv2LIxGI9atW4fk5GS89957WLt2Lf75z3/KHVqrptfrMXnyZMycOVPuUFqlr776CvPmzcPixYuRkJCAyMhIjBw5EteuXZM7tFZJp9MhMjISq1evljsUAnDw4EHMmjULR48exZ49e3Dnzh2MGDECOp1O7tBarcDAQLz11luIj4/HiRMnMGTIEIwbNw7Jyclyh9bq/fbbb1i3bh0iIiKa/bnZxrwF+/bbbzF+/HiUlZXBwcFB7nAIwDvvvIM1a9bg/PnzcofS6m3YsAFz585FUVGR3KG0KjExMejbty9WrVoFADAajQgKCsLzzz+PBQsWyBxd6yZJErZt24bx48fLHQpVyMvLQ/v27XHw4EE89NBDcodDFTw9PfHOO+9gxowZcofSapWWlqJXr174z3/+gyVLlqBnz55YsWJFsz0/V6BaqIKCAnz++ecYMGAAiycFuXHjBjw9PeUOg0gWer0e8fHxGDZsmGlMpVJh2LBhOHLkiIyRESnTjRs3AID/biiEwWDApk2boNPp0L9/f7nDadVmzZqF0aNHm/170pxYQLUwr776Ku677z60a9cOmZmZ2LFjh9whUYX09HSsXLkSzz77rNyhEMni+vXrMBgM8PHxMRv38fFBbm6uTFERKZPRaMTcuXPxwAMPoEePHnKH06qdPn0arq6u0Gg0eO6557Bt2zaEhYXJHVartWnTJiQkJGDp0qWyxcACSuEWLFgASZJq/HP27FnT8S+//DJOnjyJ3bt3Q61WY8qUKeBZmo2rrjkBgOzsbIwaNQqTJ0/G3//+d5kib7nqkxMiIiWbNWsWkpKSsGnTJrlDafW6du2KxMREHDt2DDNnzsTUqVORkpIid1itUlZWFubMmYPPP/8cTk5OssXBa6AULi8vD/n5+TUe06lTJzg6OlYbv3z5MoKCgnD48GEuNTeiuuYkJycHsbGx6NevHzZs2ACVip9bNLb6vE54DVTz0+v1cHFxwZYtW8yus5k6dSqKioq4Yi4zXgOlHLNnz8aOHTvw888/o2PHjnKHQ/cYNmwYQkNDsW7dOrlDaXW2b9+OCRMmQK1Wm8YMBgMkSYJKpUJZWZnZbU2lTZM/AzWIt7c3vL2963Vfo9EIACgrK2vMkFq9uuQkOzsbgwcPRu/evbF+/XoWT02kIa8Taj6Ojo7o3bs34uLiTG/SjUYj4uLiMHv2bHmDI1IAIQSef/55bNu2DQcOHGDxpFBGo5HvrWQydOhQnD592mxs+vTp6NatG1599dVmKZ4AFlAtxrFjx/Dbb79h4MCB8PDwQEZGBl577TWEhoZy9Ukm2dnZiI2NRUhICJYvX468vDzTbb6+vjJG1rplZmaioKAAmZmZMBgMSExMBAB07twZrq6u8gbXCsybNw9Tp05Fnz59EB0djRUrVkCn02H69Olyh9YqlZaWIj093fT9hQsXkJiYCE9PTwQHB8sYWes0a9YsfPHFF9ixYwe0Wq3p2kA3Nzc4OzvLHF3rtHDhQvz5z39GcHAwSkpK8MUXX+DAgQPYtWuX3KG1Slqttto1gZXX/jfntYIsoFoIFxcXfPPNN1i8eDF0Oh38/PwwatQoLFq0CBqNRu7wWqU9e/YgPT0d6enpCAwMNLuNZ87K5/XXX8cnn3xi+j4qKgoAsH//fsTGxsoUVevx2GOPIS8vD6+//jpyc3PRs2dP/PTTT9UaS1DzOHHiBAYPHmz6ft68eQDKT6vcsGGDTFG1XmvWrAGAar+L1q9fj2nTpjV/QIRr165hypQpuHLlCtzc3BAREYFdu3Zh+PDhcodGMuI1UERERERERDbiBRlEREREREQ2YgFFRERERERkIxZQRERERERENmIBRUREREREZCMWUERERERERDZiAUVERERERGQjFlBEREREREQ2YgFFRERERESK9/PPP2PMmDHw9/eHJEnYvn17nR9DCIHly5ejS5cu0Gg0CAgIwJtvvlmnx2hT52clIiIiIiJqZjqdDpGRkXj66acxceLEej3GnDlzsHv3bixfvhzh4eEoKChAQUFBnR5DEkKIej07ERERERGRDCRJwrZt2zB+/HjTWFlZGf71r3/hyy+/RFFREXr06IG3334bsbGxAIAzZ84gIiICSUlJ6Nq1a72fm6fwERERVTFhwgR4eHjg0UcfrXbb448/jkOHDiE2NhZhYWGIiIjA5s2bZYiSiIjuNXv2bBw5cgSbNm3CqVOnMHnyZIwaNQppaWkAgO+++w6dOnXC999/j44dO6JDhw545pln6rwCxQKKiIhanLKyMiQlJdXrvnPmzMHGjRurjRuNRmRkZKBz585YsWIFUlJSsHv3bsydOxc6na6hIdu1hIQEuUMgolYuMzMT69evx+bNm/Hggw8iNDQU8+fPx8CBA7F+/XoAwPnz53Hp0iVs3rwZGzduxIYNGxAfH2/xA7OasIAiIiKrYmNjMXfuXMU8jq3WrFlT79MzYmNjodVqq43Hx8ejV69e8PPzQ8+ePQEAvr6+8PLyqvbpZX5+Ptq3b4+LFy/WKwYl++tf/4p3333XbCw1NRXZ2dkyRUREBJw+fRoGgwFdunSBq6ur6c/BgweRkZEBoPyDsLKyMmzcuBEPPvggYmNj8fHHH2P//v1ITU21+blYQBER2bG8vDzMnDkTwcHB0Gg08PX1xciRI/Hrr7/KHVqd5ebm4m9/+xt8fX3h6OgIf39/LF++3OyYF198sdYLh0+dOgWtVgsHBwez8UGDBkGSJHz55Zdm4ytXroS/v3+t8e3evRsjRowwG4uPj4fBYEBQUJDZ+Jtvvolx48ahQ4cOjT6/+mjM5160aBHefPNN3LhxwzQ2ceJEfPDBB40eNxGRrUpLS6FWqxEfH4/ExETTnzNnzuD9998HAPj5+aFNmzbo0qWL6X7du3cHUL6CZSt24SMismOTJk2CXq/HJ598gk6dOuHq1auIi4tDfn6+3KHV2bPPPos7d+5g79698PDwwNWrV1FUVGR2zPHjxzF69OgaH2f58uXV3swLIXDy5En4+flh69atePzxx023Va4s1SYuLg6zZ882fV9QUIApU6bgo48+Mjvu5s2b+Pjjj7Fr164mmV99NOZz9+jRA6Ghofjss88wa9YsAIBGo0FRURGuXr0KHx+fRo+fiKg2UVFRMBgMuHbtGh588EGLxzzwwAO4e/cuMjIyEBoaCgA4d+4cACAkJMTm5+IKFBGRnSoqKsKhQ4fw9ttvY/DgwQgJCUF0dDQWLlyIsWPHAig/XWHZsmXo3LkzNBoNgoODzfa7+OmnnzBw4EC4u7ujXbt2eOSRR0ynOlhiNBqxdOlSdOzYEc7OzoiMjMSWLVvMjtHpdJgyZQpcXV3h5+dX7XQva8rKynDhwgUcOXIEer0evXr1wpAhQwAAer0eDg4OOHz4MP71r39BkiT069ev2mMYDAakp6fD3d3dbDwtLQ0lJSVYtGgRfvzxR9y8edN0W0JCAnr37l1jbCUlJTAajXBzczPFOn78eCxYsAADBgwwO/aHH36ARqOpFl9jzK++Gvu5x4wZg02bNpmN9ezZEz/99FOjxUxEdK/S0lLTyhIAXLhwAYmJicjMzESXLl3wxBNPYMqUKfjmm29w4cIFHD9+HEuXLsXOnTsBAMOGDUOvXr3w9NNP4+TJk4iPj8ezzz6L4cOHm61K1YYFFBGRnao8v3v79u0oKyuzeMzChQvx1ltv4bXXXkNKSgq++OILsxUCnU6HefPm4cSJE4iLi4NKpcKECRNgNBotPt7SpUuxceNGrF27FsnJyXjxxRfx5JNP4uDBg6ZjXn75ZRw8eBA7duzA7t27ceDAgVqbDNy9exejRo3Cpk2bMHz4cKxevRpjx45FaWkpAKBNmzam0xITExNx5coVi2/Wk5KSLK6AxMfHw8nJCc888wzatm2LH3/8EQBw+/ZtnDlzptYVqH379mHw4MEAylezpk2bhiFDhuCpp56qduyhQ4eqFWSNNb/6aIrnjo6OxvHjx83+3oWFhZn9PSAiamwnTpxAVFQUoqKiAADz5s1DVFQUXn/9dQDA+vXrMWXKFLz00kvo2rUrxo8fj99++w3BwcEAAJVKhe+++w5eXl546KGHMHr0aHTv3r3aB0K1EkREZLe2bNkiPDw8hJOTkxgwYIBYuHCh+P3334UQQhQXFwuNRiM++ugjmx8vLy9PABCnT58WQggxaNAgMWfOHCGEELdv3xYuLi7i8OHDZveZMWOGePzxx4UQQpSUlAhHR0fx9ddfm27Pz88Xzs7Opsex5H/+53/Eli1bzMZCQkLEsmXLTN9v27ZNtGvXrsb4f/jhBzF9+vRq4/PnzxfR0dFCCCFmzpwp/vrXvwohhDh69KgAIDIzM03HDh06VHh5eQlnZ2cREBAgDh8+LGbOnGma96FDh4QkSSIyMtL059SpU6b7jxs3Tjz99NNNMr/6aIrn/v333wUAcfHiRdNYYmKiGDlyZMMDJiJSOK5AERHZsUmTJiEnJwfffvstRo0ahQMHDqBXr17YsGEDzpw5g7KyMgwdOtTq/dPS0vD444+jU6dOaNu2ranpgaWLadPT03Hz5k0MHz7crMPRxo0bTaf9ZWRkQK/XIyYmxnQ/T0/PGjviJSYm4rPPPjOddljJzc0NV65cMX1/8uRJREZG1vjzKCwsxH333VdtPCEhwbTKNHHiROzcuRNlZWVISEiAt7e3WROIvXv3Ii8vDzdv3sTly5fRv39/HD9+HNHR0QCAgQMHwmg0ml2kHB4ebrr/rVu34OTk1OjzW7BgASRJqvHP2bNnze7TmD/bqpydnQHA7FRIV1fXOu+lQkRkj9hEgojIzjk5OWH48OEYPnw4XnvtNTzzzDNYvHgxvv/++1rvO2bMGISEhOCjjz6Cv78/jEYjevToAb1eX+3YylO+du7ciYCAALPbNBpNvePfunUrunTpYtY1T6fT4dy5c3jhhRdMY4mJibW+yddqtbh161a18YSEBFPjiNjYWDg4OGDXrl02N5A4ceKErdOBl5cXCgsLTd831vxeeuklTJs2rcbn7tSpk9n3jfmzraqyUPL29jaN3bx503SNGBFRS8YVKCKiFiYsLAw6nQ73338/nJ2dERcXZ/G4/Px8pKamYtGiRRg6dCi6d+9u9sbf0uNqNBpkZmaic+fOZn8qV3BCQ0Ph4OCAY8eOme5XWFho6nJkSWFhYbWNaD/88EMAMGurffr0adP+S9b4+PiguLjYbOz8+fMoKioyFUpt2rTB2LFjsXXrVpsaSNRVVFQUUlJSTN831vy8vb3RrVu3Gv84Ojqa3achz33p0iWMGTMGUVFR6NGjh9mqZFJSEgIDA+Hl5WUaKy4uZgc+ImoVWEAREdmp/Px8DBkyBJ999hlOnTqFCxcuYPPmzVi2bBnGjRsHJycnvPrqq3jllVdMp9kdPXoUH3/8MQDAw8MD7dq1w4cffoj09HTs27cP8+bNs/p8Wq0W8+fPx4svvohPPvkEGRkZSEhIwMqVK/HJJ58AKD+Na8aMGXj55Zexb98+JCUlYdq0aVCprP9zExMTgzNnzuC9995DWloaVq5ciYULF2L16tXw8PAwHWc0GpGamoqcnByzPYiqCg8PR1ZWltlYfHw8HB0d0aNHD9PYpEmT8O233yI5OdmmFai6GDlyJJKTk03FaGPOr67q+9x6vR4PP/wwXnrpJZw8eRKHDh2Cn5+f6fhDhw5V2xPr3Llz6N+/f6PETUSkaHJfhEVERPVz+/ZtsWDBAtGrVy/h5uYmXFxcRNeuXcWiRYvEzZs3hRBCGAwGsWTJEhESEiIcHBxEcHCw+Pe//216jD179oju3bsLjUYjIiIixIEDBwQAsW3bNiGEeRMJIYQwGo1ixYoVomvXrsLBwUF4e3uLkSNHioMHD5qOKSkpEU8++aRwcXERPj4+YtmyZdUepyqj0SiWLFkiOnToILRarRgwYIDYuXNnteM+/fRT4e/vLwCI+fPnW/25jBs3Tty6dcv0feXP6N6fnVarFQDE+fPnrT5WfUVHR4u1a9cKIRp/fnVR3+fetGlTtUYYlW7duiXc3NzEkSNHzMaff/55kZGR0ShxExEpmSSEELJWcERERI1o165dKCkpwaOPPipbDDt37sTLL7+MpKSkGlfflGrRokUICgrCs88+W+22NWvWYNu2bdi9e7dpzGg04oUXXsCqVauaM0wiIlnY3291IiKiGowcORKpqamyxjB69Gj84x//QHZ2tqxx1JePjw+SkpIAlG9OXLW7noODA1auXGl2/A8//GCx2CIiaom4AkVERC3O9evXkZWVZdpskeqmpKQEjz32GDIzM+Hg4IA1a9agX79+Vo/fu3cvhg0b1owREhHJhwUUERERERGRjXgKHxERERERkY1YQBEREREREdmIBRQREREREZGNWEARERERERHZiAUUERERERGRjVhAERERERER2YgFFBERERERkY1YQBEREREREdmIBRQREREREZGNWEARERERERHZiAUUERERERGRjf4/Pj5ZldJU7tgAAAAASUVORK5CYII=",
+ "text/plain": [
+ "<Figure size 1000x600 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Critical threshold\n",
+ "critical_delta_t = bipartite_percolation.find_critical_threshold(analysis_results3, refined_delta_t_values)\n",
+ "# System sizes\n",
+ "sizes = [64, 128, 256, 512, 1024, 2048]\n",
+ "\n",
+ "# Convert keys of analysis_results3 to float\n",
+ "delta_t_values = np.array([float(k) for k in analysis_results3.keys()])\n",
+ "analysis_results3 = {float(k): v for k, v in analysis_results3.items()}\n",
+ "\n",
+ "# Optimize β and ν\n",
+ "beta_range = np.linspace(0.1, 0.5, 10) # Search in a wider β range\n",
+ "nu_range = np.linspace(1.0, 2.0, 200) # Search for a better ν\n",
+ "\n",
+ "best_beta, best_nu = bipartite_percolation.optimize_scaling_exponents(analysis_results3, delta_t_values, sizes, critical_delta_t, beta_range, nu_range)\n",
+ "print(f\"Optimized β: {best_beta}, Optimized ν: {best_nu}\")\n",
+ "\n",
+ "# Apply finite-size scaling with optimized exponents\n",
+ "scaled_results = bipartite_percolation.finite_size_scaling(analysis_results3, delta_t_values, sizes, critical_delta_t, beta=0.1)\n",
+ "\n",
+ "# Plot the results\n",
+ "bipartite_percolation.plot_finite_size_scaling(scaled_results, use_log_scale=False)\n",
+ "\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "myDefault",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}