diff --git a/wikipedia.ipynb b/wikipedia.ipynb
deleted file mode 100644
index 2d1bf172def4268af8bf4895a6c22b63c183e530..0000000000000000000000000000000000000000
--- a/wikipedia.ipynb
+++ /dev/null
@@ -1,1101 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "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\n",
-    "from collections import Counter\n",
-    "import json"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def preprocess(dataset_name: str):\n",
-    "    \n",
-    "    u_list, i_list, ts_list, label_list = [], [], [], []\n",
-    "    feat_l = []\n",
-    "    idx_list = []\n",
-    "\n",
-    "    try:\n",
-    "        with open(dataset_name, 'r') as f:\n",
-    "            # Detect and skip the header\n",
-    "            first_line = f.readline().strip()\n",
-    "            if not first_line.replace(',', '').isdigit():\n",
-    "                print(\"Detected header, skipping it...\")\n",
-    "            else:\n",
-    "                # go back if no header\n",
-    "                f.seek(0)\n",
-    "\n",
-    "            previous_time = -1\n",
-    "            for idx, line in enumerate(f):\n",
-    "                line = line.strip()\n",
-    "                if not line:  # Skip empty lines\n",
-    "                    continue\n",
-    "\n",
-    "                e = line.split(',')\n",
-    "                if len(e) < 4:\n",
-    "                    print(f\"Skipping malformed line {idx}: {line}\")\n",
-    "                    continue\n",
-    "\n",
-    "                try:\n",
-    "                    u = int(e[0])  \n",
-    "                    i = int(e[1])  \n",
-    "                    ts = float(e[2])  \n",
-    "                    label = float(e[3])  \n",
-    "\n",
-    "                    # rest\n",
-    "                    feat = np.array([float(x) for x in e[4:]])\n",
-    "\n",
-    "                    if ts < previous_time:\n",
-    "                        raise ValueError(f\"Timestamps are not sorted at line {idx}: {line}\")\n",
-    "                    previous_time = ts\n",
-    "\n",
-    "                    u_list.append(u)\n",
-    "                    i_list.append(i)\n",
-    "                    ts_list.append(ts)\n",
-    "                    label_list.append(label)\n",
-    "                    idx_list.append(idx)\n",
-    "                    feat_l.append(feat)\n",
-    "                except ValueError as ve:\n",
-    "                    print(f\"Skipping line {idx} due to error: {ve}\")\n",
-    "                    continue\n",
-    "\n",
-    "    except FileNotFoundError:\n",
-    "        raise FileNotFoundError(f\"The file '{dataset_name}' does not exist or cannot be opened.\")\n",
-    "    except Exception as e:\n",
-    "        raise RuntimeError(f\"An error occurred while processing the file: {e}\")\n",
-    "\n",
-    "    if not u_list or not i_list or not ts_list:\n",
-    "        raise ValueError(\"No valid data found in the file.\")\n",
-    "    \n",
-    "    df = pd.DataFrame({\n",
-    "        'u': u_list,\n",
-    "        'i': i_list,\n",
-    "        'ts': ts_list,\n",
-    "        'label': label_list,\n",
-    "        'idx': idx_list\n",
-    "    })\n",
-    "\n",
-    "\n",
-    "    feat_array = np.array(feat_l)\n",
-    "    print(\"=== Preprocessing Complete ===\")\n",
-    "    print(\"Dataset Preview:\")\n",
-    "    print(df.head())\n",
-    "    print(\"Feature Array Shape:\", feat_array.shape)\n",
-    "\n",
-    "    return df, feat_array"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# for wikipedia dataset indexed correctly, so no need to use this\n",
-    "def reindex(df: pd.DataFrame, bipartite: bool = True):\n",
-    "    new_df = df.copy()\n",
-    "    if bipartite:\n",
-    "        upper_u = df.u.max() + 1\n",
-    "        new_i = df.i + upper_u\n",
-    "        new_df.i = new_i\n",
-    "    new_df.u += 1\n",
-    "    new_df.i += 1\n",
-    "    new_df.idx += 1\n",
-    "    return new_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "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",
-    "                \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",
-    "                # [1,1,1,2,2,3,3,3] -> [3, 2, 3]\n",
-    "                # it turns into a dictionary {3: 2, 2: 1}, component sizes, and their counts\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",
-    "                # same logic as above, but this time I iterate over unique labels to count manually\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",
-    "\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",
-    "            susceptibility = np.diff(num_event_graph_nodes) / np.diff(delta_t_values)\n",
-    "\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",
-    "            critical_index = np.argmax(susceptibility)\n",
-    "            critical_dt = midpoints[critical_index]\n",
-    "\n",
-    "            return critical_dt\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) * ρ_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",
-    "            # (ρ_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",
-    "            # ρ_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",
-    "\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 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 (ρE, ρG), 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",
-    "        maxS_E_values = np.array([results[str(dt)][\"S_E\"] for dt in delta_t_values])\n",
-    "        maxS_G_values = np.array([results[str(dt)][\"S_G\"] for dt in delta_t_values])\n",
-    "        maxS_LT_values = np.array([results[str(dt)][\"S_LT\"] for dt in delta_t_values]) \n",
-    "        N_values = np.array([results[str(dt)][\"total_components\"] for dt in delta_t_values])\n",
-    "        N_E = temporal_graph.n  # Total number of nodes in the temporal network\n",
-    "\n",
-    "        all_nodes = np.unique(np.concatenate([self.src_array, self.dst_array]))\n",
-    "        N_G = len(all_nodes)  # Total number of unique nodes\n",
-    "\n",
-    "        # Order Parameters:\n",
-    "        # - ρ_E: Fraction of event-graph nodes in the largest component\n",
-    "        # - ρ_G: Fraction of temporal-network nodes in the largest component\n",
-    "        rho_E = np.where(N_values > 0, maxS_E_values / N_E, 0)  # Prevent divide-by-zero\n",
-    "        rho_G = np.where(N_values > 0, maxS_G_values / N_G, 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",
-    "\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() / N_E\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() / N_G\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 / 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 (ρE, ρG) 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": 58,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Detected header, skipping it...\n",
-      "=== Preprocessing Complete ===\n",
-      "Dataset Preview:\n",
-      "   u  i     ts  label  idx\n",
-      "0  0  0    0.0    0.0    0\n",
-      "1  1  1   36.0    0.0    1\n",
-      "2  1  1   77.0    0.0    2\n",
-      "3  2  2  131.0    0.0    3\n",
-      "4  1  1  150.0    0.0    4\n",
-      "Feature Array Shape: (157474, 172)\n",
-      "=== DF HEAD ===\n",
-      "Dataset Preview:\n",
-      "   u  i     ts  label  idx\n",
-      "0  0  0    0.0    0.0    0\n",
-      "1  1  1   36.0    0.0    1\n",
-      "2  1  1   77.0    0.0    2\n",
-      "3  2  2  131.0    0.0    3\n",
-      "4  1  1  150.0    0.0    4\n",
-      "Timestamps Range: 0.0 - 2678373.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "file_path = \"wikipedia.csv\"\n",
-    "bipartite = True\n",
-    "\n",
-    "df, feat_array  = preprocess(file_path)\n",
-    "print(\"=== DF HEAD ===\")\n",
-    "print(\"Dataset Preview:\")\n",
-    "print(df.head())\n",
-    "\n",
-    "print(\"Timestamps Range:\", df['ts'].min(), \"-\", df['ts'].max())\n",
-    "\n",
-    "tedges = list(df[['u', 'i', 'ts']].itertuples(index=False, name=None))\n",
-    "\n",
-    "temporal_graph = pp.TemporalGraph.from_edge_list(tedges)\n",
-    "\n",
-    "total_events = len(tedges)\n",
-    "\n",
-    "bipartite_percolation = BipartiteTemporalPercolation(temporal_graph, total_events)\n",
-    "\n",
-    "min_t = df['ts'].min()\n",
-    "max_t = 1678373 # based on my previous analysis\n",
-    "# First I search broadly to find the critical threshold\n",
-    "# After that I can narrow down the search range\n",
-    "delta_t_values = np.linspace(min_t, max_t, num=50)\n",
-    "\n",
-    "# I computed the results and saved them to a JSON file\n",
-    "# It tooks 3 hours to compute all the results that's why I saved them\n",
-    "# analysis_results, reachability, percolation_metrics = bipartite_percolation.percolation_analysis(delta_t_values)\n",
-    "\n",
-    "# with open(\"wikipedia_results/analysis_results.json\", \"w\") as file:\n",
-    "#     json.dump(analysis_results, file, indent=4)\n",
-    "\n",
-    "# Load results from the JSON file\n",
-    "with open(\"wikipedia_results/analysis_results.json\", \"r\") as file:\n",
-    "    analysis_results = json.load(file)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "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  0.986229  0.759596\n",
-      "S_G   0.986229  1.000000  0.856244\n",
-      "S_LT  0.759596  0.856244  1.000000\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "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": 60,
-   "metadata": {},
-   "outputs": [],
-   "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)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "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": [
-    "def plot_order_parameters_PE_XE(delta_t_values, rho_E, chi_E):\n",
-    "    \"\"\"\n",
-    "    Plot order parameter ρE 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 = 3600\n",
-    "    delta_t_values_min = delta_t_values / seconds_per_hour \n",
-    "\n",
-    "    # First Y-axis (ρE)\n",
-    "    ax1.plot(delta_t_values_min, rho_E, 'r-', label=r\"$\\rho_E$\", linewidth=2)\n",
-    "    ax1.set_xlabel(r\"$\\delta t$ (in hours)\", 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 ρE 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 ρG 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 =  3600\n",
-    "    # Convert δt from seconds to hours\n",
-    "    delta_t_values_min = delta_t_values / seconds_per_hour \n",
-    "\n",
-    "    # First Y-axis (ρE)\n",
-    "    ax1.plot(delta_t_values_min, rho_G, 'r-', label=r\"$\\rho_G$\", linewidth=2)\n",
-    "    ax1.set_xlabel(r\"$\\delta t$ (in hours)\", 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 ρG 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": 62,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Based on the largest component size plot and susceptibility plot, I narrowed down the search range\n",
-    "refined_delta_t_values = np.linspace(20000, 548040, num=30)  \n",
-    "# analysis_results2, reachability2, percolation_metrics2 = bipartite_percolation.percolation_analysis(refined_delta_t_values)\n",
-    "\n",
-    "# with open(\"wikipedia_results/analysis_results2.json\", \"w\") as file:\n",
-    "#     json.dump(analysis_results2, file, indent=4)\n",
-    "\n",
-    "with open(\"wikipedia_results/analysis_results2.json\", \"r\") as file:\n",
-    "    analysis_results2 = json.load(file)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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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  0.982470  0.706776\n",
-      "S_G   0.982470  1.000000  0.824122\n",
-      "S_LT  0.706776  0.824122  1.000000\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "delta_t_values = np.array([float(k) for k in analysis_results2.keys()])\n",
-    "\n",
-    "bipartite_percolation.compare_component_measures(analysis_results2)\n",
-    "bipartite_percolation.plot_largest_component(analysis_results2, delta_t_values)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "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": [
-    "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_results2, temporal_graph)\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)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "<>:13: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "<>:21: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "<>:29: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "<>:13: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "<>:21: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "<>:29: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "C:\\Users\\userpc\\AppData\\Local\\Temp\\ipykernel_22188\\150589992.py:13: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "  plt.scatter(sizes, probabilities, label=f\"$\\delta t$ = {dt/3600:.2f} hours\",\n",
-      "C:\\Users\\userpc\\AppData\\Local\\Temp\\ipykernel_22188\\150589992.py:21: 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_22188\\150589992.py:29: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "  plt.scatter(sizes, probabilities, label=f\"$\\delta t$ = {dt/3600:.2f} hours\",\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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bqampkCQJH3zwQb0ydrsdaWlpsNlsmDhxIrZv324sy8/PR69evYzpXr164fjx4+0ROhERUacydepU3HPPPR0dRqfTpRIjh8OB9PR02O32BpevXr0aOTk5WLx4MXbv3o309HRkZWUZj/AREVH3VVBQgOuvvx4pKSmwWCxITU3F008/bSy/9957MWfOnJDG8Kc//QmSJPl9hg4d2ibrHD9+HDfeeCMSEhIQFhaGUaNGYefOnaHalLNWl+pjNGvWLMyaNavR5c8++yxuvfVWzJs3DwDw8ssv49///jf++te/4sEHH0RqaqrfFaLjx49jwoQJjdbndDrhdDqN6fLy8jbYCiKi7k3TBPbll6OkyoX4cAtGpEZDlkPfqfu2226D2+3Gxo0bERcXh8LCQr/BKrdv345LLrkk5HGMGDECGzduNKZNpuZPxc2tc/r0aUyePBnTpk3D2rVr0aNHD3z33XeIi4tru8DbiMvlgsVi6egwGtWlrhg1xeVyYdeuXcjMzDTmybKMzMxMbNu2DQAwYcIE7N27F8ePH0dlZSXWrl2LrKysRutcunQpYmJijE+fPn1Cvh1ERGezrYeLMff17bjtzZ247597cNubOzH39e3Yerg45G07nU7k5eVh27ZtcLlcOPfcczF9+nS4XC6YzWZs3boVf/jDHyBJEn72s5+FLA6TyYSUlBTjk5iY2Op1nnzySfTp0wevv/46JkyYgP79+2PmzJkYOHBgk/Vqmob7778f8fHxSElJwZ/+9Ce/5U6nE3fffTeSkpJgs9lw/vnnY8eOHcbytLQ0LF++3G+djIwMv3qmTp2KO++8E/fccw8SExON8+67776LUaNGISwsDAkJCcjMzITD4Wh2X4TaWZMYFRcXQ1VVJCcn+81PTk5GQUEBAP2L9cwzz2DatGnIyMjA7373uyafSFu0aBHKysqMz7Fjx0K6DUREZ7Oth4vx+zXf4MCJckRYTUiKsiLCasKBExX4/ZpvQpoceTweXHTRRfjHP/6BGTNmwG6347LLLkNlZSVMJhO++OILAEBubi5OnDiBdevWNVjPkiVLEBkZ2eTn6NGjTcby3XffITU1FQMGDMANN9zQbPlA1vnXv/6FcePG4eqrr0ZSUhLGjBmDlStXNlvvG2+8gYiICHz55ZdYtmwZHnnkEWzYsMFYfv/99+O9997DG2+8gd27d2PQoEHIyspCSUlJs3XXbcdiseCLL77Ayy+/jBMnTuC6667D/PnzceDAAXz22WeYM2cOhBBB1RsKXepWWlu47LLLcNlllwVU1mq1wmq1hjgiIqKzn6YJrNh8BJVOD1KibcaYMzZZQUq0jIJyJ1ZsPoKfDUgIyW21BQsWYPr06UhPTwcAPP3000hLS8OKFSuwcOFC5OfnIyEhwVjemNtvvx3XXHNNk2VSU1MbXTZx4kSsWrUKQ4YMwYkTJ/Dwww/jggsuwN69exEVFdXidb7//nusWLECOTk5+P3vf48dO3bg7rvvhsViwdy5cxuNZ/To0Vi8eDEAYPDgwXjxxRexadMmzJgxAw6HAytWrMCqVauMbiwrV67Ehg0b8Nprr2HhwoVN7ofaBg8ejGXLlhnTu3fvhsfjwZw5c9CvXz8AwKhRowKuL5TOmsQoMTERiqKgsLDQb35hYSFSUlJaVbfdbofdboeqqq2qh4iou9qXX44jRZWIC7fUG4hPkiTEhptxpKgS+/LLMap3TJu2nZubi7feeqveLZ+YmBicOHECAPDVV181mxQBQHx8POLj41scS+1+sqNHj8bEiRPRr18//POf/8Qtt9zS4nU0TcO4ceOwZMkSAMCYMWOwd+9evPzyy80mRrX17NnTeGDpyJEjcLvdmDx5srHcbDZjwoQJOHDgQFDbPXbsWL/p9PR0XHjhhRg1ahSysrIwc+ZMXHXVVZ2iT9RZcyvNYrFg7Nix2LRpkzFP0zRs2rQJkyZNalXd2dnZ2L9/v999VSIiClxJlQtuVcCiNHzasSoy3JpASZWrzdt+7733cM4558BsNhvzHA4HDh06hBEjRgDQk6dAEqO2uJVWW2xsLM455xwcPny4Vev07NkTw4cP9ys3bNiwZmOpvU8APUnVNC3gWGRZrnf7q6FXckRERPhNK4qCDRs2YO3atRg+fDheeOEFDBkyBHl5eQG3HSpdKjGqrKxEbm4ucnNzAQB5eXnIzc01DnxOTg5WrlyJN954AwcOHMAdd9wBh8NhPKVGREQdIz7cArMiwaU2fNJ1qhrMsoT48LZ/Wun06dP1OvW+8sorAGA8nv/NN98gIyOj2bpuv/124zzU2KepW2l1VVZW4siRI0G9Eb6hdSZPnoyDBw/6lTt06JBxm6olBg4caPQL8nG73dixY4eRhPXo0cO46gboT28HmtxIkoTJkyfj4YcfxldffQWLxYI1a9a0ON620qVupe3cuRPTpk0zpnNycgAAc+fOxapVq3Dttdfi5MmTeOihh1BQUICMjAysW7euXofsYPFWGhFR64xIjcbApEgcOFGBlGjZ73aaEAKlVW4M6xmFEanRbd72xIkTYbfb8dxzz+HSSy/FunXrsGjRIrz00kvGrRtN03Dw4EHk5+cjIiICMTEN385r7a20++67D7Nnz0a/fv2Qn5+PxYsXQ1EUXHfddUaZF198EWvWrDHugASyzr333ovzzjsPS5YswTXXXIPt27fjlVdeMRLAloiIiMAdd9yBhQsXIj4+Hn379sWyZctQVVVl3MKbPn06Vq1ahdmzZyM2NhYPPfRQQG+2//LLL7Fp0ybMnDkTSUlJ+PLLL3Hy5EkMGzasxfG2lS6VGE2dOrXZHut33nkn7rzzzjZtNzs7G9nZ2SgvL2/0fxYiImqcLEu4Y8pA/H7NNygodyI23AyrIsOpaiitciPSquCOKQND0vH6xhtvxNGjR/H8889j8eLFGDVqFN5//31cfPHFRpnHHnsMDzzwAJYsWYL77rsPTz31VJvHAQA//fQTrrvuOpw6dQo9evTA+eefj//+97/o0aOHUaa4uBhHjhwJap3x48djzZo1WLRoER555BH0798fy5cvxw033NCqeJ944glomoabbroJFRUVGDduHD7++GMjoVy0aBHy8vJw6aWXIiYmBo8++mhAV4yio6OxZcsWLF++HOXl5ejXrx+eeeaZJscqbC+S6AzPxnURvsSorKwM0dFt/1cNEVFnVVNTg7y8PPTv3x82m63F9Ww9XIwVm4/gSFEl3JqAWZYwMCkSd0wZiPMGNT+eD1FjmvqOBnP+7lJXjIiIqGs7b1AifjYgoUNGviYKBBOjALCPERFR25Flqc0fySdqK13qqbSOwsf1iYiIugcmRkREREReTIyIiIiIvJgYBcBut2P48OEYP358R4dCREREIcTEKADsY0RERNQ9MDEiIiIi8mJiREREROTFxIiIiIjIi4lRANj5mogoBDQOmtuZTZ06Fffcc09Hh9HumBgFgJ2viYjaWH4u8PrF+s92UlBQgOuvvx4pKSmwWCxITU3F008/bSy/9957MWfOnJDGsHTpUowfPx5RUVFISkrC5ZdfjoMHD9YrZ7fbkZaWBpvNhokTJ2L79u2N1pmWlgZJkup9srOzjTIrVqzA6NGjER0djejoaEyaNAlr164NyTZ2dUyMiIiofakeYPOTQNF+/afqaZdmb7vtNpSWlmLjxo3Iy8vDRx99hHPPPddYvn37dowbNy6kMWzevBnZ2dn473//iw0bNsDtdmPmzJlwOBxGmdWrVyMnJweLFy/G7t27kZ6ejqysLBQVFTVY544dO3DixAnjs2HDBgDA1VdfbZTp3bs3nnjiCezatQs7d+7E9OnT8Ytf/AL79u0L6fa2hMvl6tgABAWsrKxMABBlZWUdHQoRUbuqrq4W+/fvF9XV1a2vbM9qIZ4+R4jl6frPPf9sfZ0ByMrKEkOHDhWvvPKK+P777435TqdTmEwmAcD4TJw4sV1iKioqEgDE5s2bjXkTJkwQ2dnZxrSqqiI1NVUsXbo0oDoXLFggBg4cKDRNa7JcXFycePXVVxtdPmXKFHHXXXeJhQsXiri4OJGcnCwWL17sV6ampkbcddddokePHsJqtYrJkyeL7du3G8v79esnnnvuOb910tPT/eqZMmWKyM7OFgsWLBAJCQli6tSpQggh3nnnHTFy5Ehhs9lEfHy8uPDCC0VlZWWj8Tb1HQ3m/M0rRkRE1H4cxcDWFwBIgC1G/7n1BX1+CHk8Hlx00UX4xz/+gRkzZsBut+Oyyy5DZWUlTCYTvvjiCwBAbm4uTpw4gXXr1jVYz5IlSxAZGdnk5+jRowHHVVZWBgCIj48HoF8t2bVrFzIzM40ysiwjMzMT27Zta7Y+l8uFt956C/Pnz4ckSQ2WUVUV//jHP+BwODBp0qQm63vjjTcQERGBL7/8EsuWLcMjjzxiXJECgPvvvx/vvfce3njjDezevRuDBg1CVlYWSkpKmo21bjsWiwVffPEFXn75ZZw4cQLXXXcd5s+fjwMHDuCzzz7DnDlzIIQIqt6WMIW8BSIiIp9tdqCiAIhM1qfDE4GKE8C2l4DMh0LW7IIFCzB9+nSkp6cDAJ5++mmkpaVhxYoVWLhwIfLz85GQkGAsb8ztt9+Oa665pskyqampAcWkaRruueceTJ48GSNHjgQAFBcXQ1VVJCcn+5VNTk7Gt99+22ydH3zwAUpLS3HzzTfXW/bNN99g0qRJqKmpQWRkJNasWYPhw4c3Wd/o0aOxePFiAMDgwYPx4osvYtOmTZgxYwYcDgdWrFiBVatWYdasWQCAlStXYsOGDXjttdewcOHCQHaDUfeyZcuM6d27d8Pj8WDOnDno168fAGDUqFEB19caTIyIiKh9HN8N7H0PsEQAsqLPkxV9eu+7wPDZQOqYNm82NzcXb731FpYvX+43PyYmBidOnAAAfPXVV80mRYB+Zcd3dae1srOzsXfvXnz++edtUh8AvPbaa5g1a1aDydmQIUOQm5uLsrIyvPvuu5g7dy42b97cZHI0evRov+mePXsafZ2OHDkCt9uNyZMnG8vNZjMmTJiAAwcOBBX32LFj/abT09Nx4YUXYtSoUcjKysLMmTNx1VVXIS4uLqh6W4K30gLAx/WJiNrAd+sBZwVgjfafb43W5x/6OCTNvvfeezjnnHNgNpuNeQ6HA4cOHcKIESMA6MlTIIlRW91Ku/POO/HRRx/h008/Re/evY35iYmJUBQFhYWFfuULCwuRkpLSZJ0//vgjNm7ciF//+tcNLrdYLBg0aBDGjh2LpUuXIj09HX/+85+brLP2PgMASZKgaVqT69Qmy3K9219ut7teuYiICL9pRVGwYcMGrF27FsOHD8cLL7yAIUOGIC8vL+C2W4qJUQD4uD4RURs4JwuwRgHOcv/5znJ9/jkXhaTZ06dP+z31BQCvvPIKABiP53/zzTfIyMhotq7bb78dubm5TX6aupUmhMCdd96JNWvW4JNPPkH//v39llssFowdOxabNm0y5mmahk2bNjXbH+j1119HUlISLrnkkma3w1ev0+kMqGxDBg4caPQL8nG73dixY4dxFapHjx7GVTkAKC8vDzi5kSQJkydPxsMPP4yvvvoKFosFa9asaXG8geKtNCIiah+pY4CRVwJfvQVYIvXbaJoKuBzAmJuA1IyQNDtx4kTY7XY899xzuPTSS7Fu3TosWrQIL730knFrRtM0HDx4EPn5+YiIiEBMTEyDdbX2Vlp2djbefvttfPjhh4iKikJBQQEA/bZeWFgYACAnJwdz587FuHHjMGHCBCxfvhwOhwPz5s0z6nnxxRexZs0aI4HSNA2vv/465s6dC5Op/ql90aJFmDVrFvr27YuKigq8/fbb+Oyzz/Dxxy2/ShcREYE77rgDCxcuRHx8PPr27Ytly5ahqqoKt9xyCwBg+vTpWLVqFWbPno3Y2Fg89NBDUBSl2bq//PJLbNq0CTNnzkRSUhK+/PJLnDx5EsOGDWtxvIFiYkRERO1nUjZweCPgOKl3wK4qBqJ6ApN+G7Imb7zxRhw9ehTPP/88Fi9ejFGjRuH999/HxRdfbJR57LHH8MADD2DJkiW477778NRTT4UklhUrVgDQR5Wu7fXXXzc6TF977bU4efIkHnroIRQUFCAjIwPr1q3z65BdXFyMI0eOGNMbN27E0aNHMX/+/AbbLSoqwq9+9SucOHECMTExGD16ND7++GPMmDGjVdvzxBNPQNM03HTTTaioqMC4cePw8ccfGwnnokWLkJeXh0svvRQxMTF49NFHA7piFB0djS1btmD58uUoLy9Hv3798MwzzxidvENJEu3x7NtZory8HDExMSgrK0N0dHTzKxARnSVqamqQl5eH/v37w2azta6yr/8JbPh/gCkM8FQDMx4DRl/d/HpETWjqOxrM+Zt9jIiIqH2NmAOkngtUndJ/jriioyMiMvBWGhERtS/FBEx5AKgq0X8qPBVR58FvIxERtb/UDGDef86MZ0TUSfBWWgA4jhERUQgwKaJOiIlRADiOERERUffAxIiIiIjIi4kRERERkRcTIyIiIiIvJkZEREREXkyMiIiIiLyYGBEREVGDpk6dinvuuaejw2hXTIyIiKhbKCgowPXXX4+UlBRYLBakpqbi6aefNpbfe++9mDNnTrvF88QTT0CSpAYTD7vdjrS0NNhsNkycOBHbt29vsq6Kigrcc8896NevH8LCwnDeeec1OMTM8ePHceONNyIhIQFhYWEYNWoUdu7c2VabdFbgyNdERNQu3Pn50GpqGl0u22wwp6aGrP3bbrsNbrcbGzduRFxcHAoLC1FaWmos3759Oy655JKQtV/bjh078Je//AWjR4+ut2z16tXIycnByy+/jIkTJ2L58uXIysrCwYMHkZSU1GB9v/71r7F37168+eabSE1NxVtvvYXMzEzs378fvXr1AgCcPn0akydPxrRp07B27Vr06NED3333HeLi4kK6rS3hcrlgsVg6pnFBASsrKxMARFlZWUeHQkTUrqqrq8X+/ftFdXV1i9Z3HT8uDs+6WByaNr3Rz+FZFwvX8eNtHPkZWVlZYujQoeKVV14R33//vTHf6XQKk8kkABifiRMnhiyOiooKMXjwYLFhwwYxZcoUsWDBAr/lEyZMENnZ2ca0qqoiNTVVLF26tMH6qqqqhKIo4qOPPvKbf+6554o//OEPxvQDDzwgzj///KBinTJlirjrrrvEwoULRVxcnEhOThaLFy/2K1NTUyPuuusu0aNHD2G1WsXkyZPF9u3bjeX9+vUTzz33nN866enpfvVMmTJFZGdniwULFoiEhAQxdepUIYQQ77zzjhg5cqSw2WwiPj5eXHjhhaKysrLBWJv6jgZz/uatNCIiCjmtpgZaTQ0kkwlyeHi9j2QyGWVCwePx4KKLLsI//vEPzJgxA3a7HZdddhkqKythMpnwxRdfAAByc3Nx4sQJrFu3rsF6lixZgsjIyCY/R48ebTKW7OxsXHLJJcjMzKy3zOVyYdeuXX7LZFlGZmYmtm3b1ui2qaoKm83mNz8sLAyff/65Mf2vf/0L48aNw9VXX42kpCSMGTMGK1eubDJWAHjjjTcQERGBL7/8EsuWLcMjjzyCDRs2GMvvv/9+vPfee3jjjTewe/duDBo0CFlZWSgpKWm27rrtWCwWfPHFF3j55Zdx4sQJXHfddZg/fz4OHDiAzz77DHPmzIEQIqh6g8VbaQGw2+2w2+1QVbWjQyEi6tIkiwWy1VpvvgZAeDwha3fBggWYPn060tPTAQBPP/000tLSsGLFCixcuBD5+flISEgwljfm9ttvxzXXXNNkmdQmbgf+4x//wO7duxt9xVRxcTFUVUVycrLf/OTkZHz77bcNrhMVFYVJkybh0UcfxbBhw5CcnIy///3v2LZtGwYNGmSU+/7777FixQrk5OTg97//PXbs2IG7774bFosFc+fObTTm0aNHY/HixQCAwYMH48UXX8SmTZswY8YMOBwOrFixAqtWrcKsWbMAACtXrsSGDRvw2muvYeHChY3WW9fgwYOxbNkyY3r37t3weDyYM2cO+vXrBwAYNWpUwPW1FBOjAGRnZyM7Oxvl5eWIiYnp6HCIiCgIubm5eOutt7B8+XK/+TExMThx4gQA4Kuvvmo2KQKA+Ph4xMfHtyiOY8eOYcGCBdiwYUO9qzut9eabb2L+/Pno1asXFEXBueeei+uuuw67du0yymiahnHjxmHJkiUAgDFjxmDv3r14+eWXm02MauvZsyeKiooAAEeOHIHb7cbkyZON5WazGRMmTMCBAweC2oaxY8f6Taenp+PCCy/EqFGjkJWVhZkzZ+Kqq64KeZ8o3kojIqKz2nvvvYdzzjkHZrPZmOdwOHDo0CGMGDECgJ48BZIYteZW2q5du1BUVIRzzz0XJpMJJpMJmzdvxvPPPw+TyQRVVZGYmAhFUVBYWOi3bmFhIVJSUhqNa+DAgdi8eTMqKytx7NgxbN++HW63GwMGDDDK9OzZE8OHD/dbb9iwYc3e+qu93wBAkiRomtbkOrXJslzv9pfb7a5XLiIiwm9aURRs2LABa9euxfDhw/HCCy9gyJAhyMvLC7jtlmBiREREZ7XTp0/D4XD4zXvllVcAwHg8/5tvvkFGRkazdd1+++3Izc1t8tPYrbQLL7wQ33zzjV/ZcePG4YYbbkBubi4URYHFYsHYsWOxadMmYz1N07Bp0yZMmjSp2fgiIiLQs2dPnD59Gh9//DF+8YtfGMsmT56MgwcP+pU/dOiQcZuqJQYOHGj0C/Jxu93YsWOHkYT16NHDuDIHAOXl5QEnN5IkYfLkyXj44Yfx1VdfwWKxYM2aNS2ONxC8lUZERGe1iRMnwm6347nnnsOll16KdevWYdGiRXjppZeM2zKapuHgwYPIz89HREREo90mWnMrLSoqCiNHjvSbFxERgYSEBL/5OTk5mDt3LsaNG4cJEyZg+fLlcDgcmDdvnlHmxRdfxJo1a4wE6uOPP4YQAkOGDMHhw4excOFCDB061G+de++9F+eddx6WLFmCa665Btu3b8crr7xiJIktERERgTvuuAMLFy5EfHw8+vbti2XLlqGqqgq33HILAGD69OlYtWoVZs+ejdjYWDz00ENQFKXZur/88kts2rQJM2fORFJSEr788kucPHkSw4YNa3G8gWBiRERE7Ua4XGjoJoxwuULW5o033oijR4/i+eefx+LFizFq1Ci8//77uPjii40yjz32GB544AEsWbIE9913H5566qmQxdOca6+9FidPnsRDDz2EgoICZGRkYN26dX4dsouLi3HkyBFjuqysDIsWLcJPP/2E+Ph4XHnllXj88cf9boONHz8ea9aswaJFi/DII4+gf//+WL58OW644YZWxfvEE09A0zTcdNNNqKiowLhx4/Dxxx8bSeeiRYuQl5eHSy+9FDExMXj00UcDumIUHR2NLVu2YPny5SgvL0e/fv3wzDPPGJ28Q0USoX7u7Szi63xdVlaG6Ojojg6HiKjd1NTUIC8vD/37929Rx2F3fj6O/vrWZgd47PvqypAO8khnr6a+o8Gcv3nFiIiIQs6cmoq+r67s0JGviQLBxIiIiNoFkx7qCvhUGhEREZEXEyMiIiIiLyZGREQUMD6vQ51VW303mRgREVGzfI99V1VVdXAkRA3zfTfrjtQdLHa+JiKiZimKgtjYWOMdWeHh4ZAkqYOjItKvFFVVVaGoqAixsbEBDR7ZlG6XGF1xxRX47LPPcOGFF+Ldd9/t6HCIiLoM37u6fMkRUWcSGxvb5PvkAtXtEqMFCxZg/vz5eOONNzo6FCKiLkWSJPTs2RNJSUkNvgSUqKOYzeZWXyny6XaJ0dSpU/HZZ591dBhERF2WoihtdhIi6mw6VefrLVu2YPbs2UhNTYUkSfjggw/qlbHb7UhLS4PNZsPEiROxffv29g+UiIiIzkqdKjFyOBxIT0+H3W5vcPnq1auRk5ODxYsXY/fu3UhPT0dWVpbf/e6MjAyMHDmy3ic/P7+9NoOIiIi6qE51K23WrFlNvjX32Wefxa233op58+YBAF5++WX8+9//xl//+lc8+OCDAIDc3Nw2i8fpdMLpdBrT5eXlbVY3ERERdT6d6opRU1wuF3bt2oXMzExjnizLyMzMxLZt20LS5tKlSxETE2N8+vTpE5J2iIiIqHPoMolRcXExVFVFcnKy3/zk5GQUFBQEXE9mZiauvvpq/Oc//0Hv3r2bTKoWLVqEsrIy43Ps2LEWx09ERESdX6e6ldYeNm7cGHBZq9UKq9UawmiIiIioM+kyV4wSExOhKAoKCwv95hcWFrbJgE5NsdvtGD58OMaPHx/SdoiIiKhjdZnEyGKxYOzYsdi0aZMxT9M0bNq0CZMmTQpp29nZ2di/fz927NgR0naIiIioY3WqW2mVlZU4fPiwMZ2Xl4fc3FzEx8ejb9++yMnJwdy5czFu3DhMmDABy5cvh8PhMJ5SIyIiImqNTpUY7dy5E9OmTTOmc3JyAABz587FqlWrcO211+LkyZN46KGHUFBQgIyMDKxbt65eh+y2ZrfbYbfboapqSNshIiKijiUJIURHB9FVlJeXIyYmBmVlZYiOju7ocIiIiCgAwZy/u0wfIyIiIqJQY2JERERE5MXEKAB8XJ+IiKh7YB+jILCPERERUdfDPkZERERELcDEiIiIiMiLiVEA2MeIiIioe2AfoyCwjxEREVHXwz5GRERERC3AxIiIiIjIi4kRERERkRcTowCw8zUREVH3wM7XQWDnayIioq6Hna+JiIiIWoCJEREREZEXEyMiIiIiLyZGRERERF5MjIiIiIi8mBgFgI/rExERdQ98XD8IfFyfiIio6+Hj+kREREQtwMSIiIiIyIuJEREREZEXEyMiIiIiLyZGRERERF5MjIiIiIi8mBgFgOMYERERdQ8cxygIHMeIiIio6+E4RkREREQtwMSIiIiIyIuJEREREZEXEyMiIiIiLyZGRERERF5MjIiIiIi8mBgREREReTExIiIiIvJiYkRERETkxcSIiIiIyIuJUQD4rjQiIqLuge9KCwLflUZERNT18F1pRERERC3AxIiIiIjIi4kRERERkRcTIyIiIiIvJkZEREREXkyMiIiIiLyYGBERERF5MTEiIiIi8mJiREREROTFxIiIiIjIi4kRERERkVe3SoyOHTuGqVOnYvjw4Rg9ejTeeeedjg6JiIiIOhFTRwfQnkwmE5YvX46MjAwUFBRg7NixuPjiixEREdHRoREREVEn0K0So549e6Jnz54AgJSUFCQmJqKkpISJEREREQHoZLfStmzZgtmzZyM1NRWSJOGDDz6oV8ZutyMtLQ02mw0TJ07E9u3bW9TWrl27oKoq+vTp08qoiYiI6GzRqRIjh8OB9PR02O32BpevXr0aOTk5WLx4MXbv3o309HRkZWWhqKjIKJORkYGRI0fW++Tn5xtlSkpK8Ktf/QqvvPJKyLeJiIiIug5JCCE6OoiGSJKENWvW4PLLLzfmTZw4EePHj8eLL74IANA0DX369MFdd92FBx98MKB6nU4nZsyYgVtvvRU33XRTs2WdTqcxXV5ejj59+qCsrAzR0dHBbxQRERG1u/LycsTExAR0/u5UV4ya4nK5sGvXLmRmZhrzZFlGZmYmtm3bFlAdQgjcfPPNmD59erNJEQAsXboUMTExxoe33YiIiM5uXSYxKi4uhqqqSE5O9pufnJyMgoKCgOr44osvsHr1anzwwQfIyMhARkYGvvnmm0bLL1q0CGVlZcbn2LFjrdoGIiIi6ty61VNp559/PjRNC7i81WqF1WoNYURERETUmXSZK0aJiYlQFAWFhYV+8wsLC5GSkhLStu12O4YPH47x48eHtB0iIiLqWF0mMbJYLBg7diw2bdpkzNM0DZs2bcKkSZNC2nZ2djb279+PHTt2hLQdIiIi6lid6lZaZWUlDh8+bEzn5eUhNzcX8fHx6Nu3L3JycjB37lyMGzcOEyZMwPLly+FwODBv3rwOjJqIiIjOFp0qMdq5cyemTZtmTOfk5AAA5s6di1WrVuHaa6/FyZMn8dBDD6GgoAAZGRlYt25dvQ7ZRERERC3Raccx6kzsdjvsdjtUVcWhQ4c4jhEREVEXEsw4RkyMghDMjiUiIqLO4awc4JGIiIgo1JgYEREREXkxMQoAxzEiIiLqHtjHKAjsY0RERNT1sI8RERERUQswMSIiIiLyYmIUAPYxIiIi6h7YxygI7GNERETU9bCPEREREVELtPhdaW63GwUFBaiqqkKPHj0QHx/flnERERERtbugrhhVVFRgxYoVmDJlCqKjo5GWloZhw4ahR48e6NevH2699Vbs2LEjVLESERERhVTAidGzzz6LtLQ0vP7668jMzMQHH3yA3NxcHDp0CNu2bcPixYvh8Xgwc+ZMXHTRRfjuu+9CGXe7YudrIiKi7iHgztfXXXcd/vjHP2LEiBFNlnM6nXj99ddhsVgwf/78Ngmys2DnayIioq4nmPM3n0oLAhMjIiKirqfdnkpbsWJFa1YnIiIi6lRalRitXLmyreIgIiIi6nAcx4iIiIjIq8XjGAHAvn37MGnSJIwYMQIjRozAyJEjMWLECKSmprZVfERERETtplVXjIYMGYJXXnkFmZmZOHXqFF566SVMmTIFPXr0wAUXXNBWMXY4Pq5PRETUPbTqqbQxY8bgq6++qje/pqYGBw4cwJgxY1oVXGfDp9KIiIi6nnZ7Ku32229vcL7NZjvrkiIiIiI6+7UqMbrtttsaXXbttde2pmoiIiKidheyp9L4zjQiIiLqalr1VNof//hHjBw5EiNHjsTQoUNhMrWqOiIiIqIO1apMJiEhARs2bMBzzz2H7777DqmpqcZj+5WVlW0VIxEREVG7aFVidO+99/pN5+XlYe/evdi7dy9mzJjRqsCIiIiI2ltQj+vv27cPVqsVgwYNCmVMnY7dbofdboeqqjh06BAf1yciIupCgnlcP6jEKCsrCyNGjMCzzz5rzPv3v/+Nt99+G0lJSViwYAHS0tJaHHhnx3GMiIiIup6QJUYpKSl47733MHnyZADAgQMHkJ6ejqSkJDidTkiShNzc3LP2lSBMjIiIiLqekA3wWFZWhj59+hjTf/vb3zBgwAD8+OOP+Omnn5Ceno4nnniiZVETERERdbCgEqPevXvjxIkTxvSmTZtw9dVXQ1EUWK1WLFq0COvXr2/zIImIiIjaQ1CJUWZmptG/6Mcff8Tu3bsxc+ZMY/nAgQNx7Nixto2QiIiIqJ0E9bj+H//4R4wZMwYDBgxATU0N+vTpg/PPP99YXlhYiMjIyDYPkoiIiKg9BJUY9erVCzt27MDzzz+P0tJS3HnnnZAkyVj+ySef4JxzzmnzIImIiIjaQ9ADPPbr1w/PPPNMg8v279+PK6+8stVBEREREXWEgBOjo0ePom/fvk2W+dvf/mb8fvz4cfTq1avlkRERERG1s4A7X48fPx633XYbduzY0WiZsrIyrFy5EiNHjsR7773XJgESERERtZeArxjt378fjz/+OGbMmAGbzYaxY8ciNTUVNpsNp0+fxv79+7Fv3z6ce+65WLZsGS6++OJQxt2uar8ShIiIiM5eQY18DQDV1dX4z3/+g//7v//Djz/+iOrqaiQmJmLMmDHIysrCyJEjQxVrh+PI10RERF1PMOfvoDtfFxUVwWKx4Prrr8eECRNaHCQRERFRZxNUYvT3v/8dN998M9xuNyRJwpgxY7B27Vr06NEjVPERERERtZugRr5++OGHcf311+Pbb781Xv3x4IMPhiQwIiIiovYWVB8ji8WCQ4cOIS0tDQDw7bffYuzYsXA4HKGKr1NhHyMiIqKuJ5jzd1BXjDweD8LDw43poUOHQtM0FBQUtCxSIiIiok4kqMQIAN544w1s3boVlZWVAACTyYSqqqo2D4yIiIiovQXV+fqCCy7AY489hoqKCsiyjP79+6OmpgavvfYaMjMzMW7cOERFRYUqViIiIqKQCnocIwD47rvvsGvXLuzevdv4lJaWQpZlDB48GAcOHAhFrB2OfYyIiIi6npCOYwQAgwcPxuDBg/HLX/7SmJeXl4edO3fiq6++akmVRERERB2uRVeMuiteMSIiIup6QvZUGhEREdHZjIkRERERkVe3SoxKS0sxbtw4ZGRkYOTIkVi5cmVHh0RERESdSIs6X3dVUVFR2LJlC8LDw+FwODBy5EjMmTMHCQkJHR0aERERdQLd6oqRoijGyN1OpxNCCLDvOREREfl0qsRoy5YtmD17NlJTUyFJEj744IN6Zex2O9LS0mCz2TBx4kRs3749qDZKS0uRnp6O3r17Y+HChUhMTGyj6ImIiKir61SJkcPhQHp6Oux2e4PLV69ejZycHCxevBi7d+9Geno6srKyUFRUZJTx9R+q+8nPzwcAxMbGYs+ePcjLy8Pbb7+NwsLCdtk2IiIi6vw67ThGkiRhzZo1uPzyy415EydOxPjx4/Hiiy8CADRNQ58+fXDXXXfhwQcfDLqN3/72t5g+fTquuuqqBpc7nU44nU5jury8HH369OE4RkRERF3IWTmOkcvlwq5du5CZmWnMk2UZmZmZ2LZtW0B1FBYWoqKiAgBQVlaGLVu2YMiQIY2WX7p0KWJiYoxPnz59WrcRRERE1Kl1mcSouLgYqqoiOTnZb35ycjIKCgoCquPHH3/EBRdcgPT0dFxwwQW46667MGrUqEbLL1q0CGVlZcbn2LFjrdoGIiIi6ty61eP6EyZMQG5ubsDlrVYrrFZr6AIiIiKiTqXLXDFKTEyEoij1OksXFhYiJSUlpG3b7XYMHz4c48ePD2k7RERE1LG6TGJksVgwduxYbNq0yZinaRo2bdqESZMmhbTt7Oxs7N+/Hzt27AhpO0RERNSxOtWttMrKShw+fNiYzsvLQ25uLuLj49G3b1/k5ORg7ty5GDduHCZMmIDly5fD4XBg3rx5HRg1ERERnS06VWK0c+dOTJs2zZjOyckBAMydOxerVq3Ctddei5MnT+Khhx5CQUEBMjIysG7dunodsomIiIhaotOOY9SZ2O122O12qKqKQ4cOcRwjIiKiLiSYcYyYGAUhmB1LREREncNZOcAjERERUagxMQoAH9cnIiLqHngrLQi8lUZERNT18FYaERERUQswMSIiIiLyYmJERERE5MXEKADsfE1ERNQ9sPN1ENj5moiIqOth52siIiKiFmBiREREROTFxIiIiIjIi4lRANj5moiIqHtg5+sgsPM1ERFR18PO10REREQtwMSIiIiIyIuJEREREZEXEyMiIiIiLyZGAeBTaURERN0Dn0oLAp9KIyIi6nr4VBoRERFRCzAxIiIiIvJiYkRERETkxcSIiIiIyIuJEREREZEXEyMiIiIiLyZGRERERF5MjALAAR6JiIi6Bw7wGAQO8EhERNT1cIBHIiIiohZgYkRERETkxcSIiIiIyIuJEREREZEXEyMiIiIiLyZGRERERF5MjIiIiIi8mBgREREReTExIiIiIvJiYhQAvhKEiIioe+ArQYLAV4IQERF1PXwlCBEREVELMDEiIiIi8mJiREREROTFxIiIiIjIi4kRERERkRcTIyIiIiIvJkZEREREXkyMiIiIiLyYGBERERF5MTEiIiIi8mJiREREROTFxIiIiIjIq1smRlVVVejXrx/uu+++jg6FiIiIOpFumRg9/vjj+NnPftbRYRAREVEn0+0So++++w7ffvstZs2a1dGhEBERUSfTqRKjLVu2YPbs2UhNTYUkSfjggw/qlbHb7UhLS4PNZsPEiROxffv2oNq47777sHTp0jaKmIiIiM4mnSoxcjgcSE9Ph91ub3D56tWrkZOTg8WLF2P37t1IT09HVlYWioqKjDIZGRkYOXJkvU9+fj4+/PBDnHPOOTjnnHPaa5OIiIioC5GEEKKjg2iIJElYs2YNLr/8cmPexIkTMX78eLz44osAAE3T0KdPH9x111148MEHm61z0aJFeOutt6AoCiorK+F2u/G73/0ODz30UIPlnU4nnE6nMV1eXo4+ffqgrKwM0dHRrdtAIiIiahfl5eWIiYkJ6Pzdqa4YNcXlcmHXrl3IzMw05smyjMzMTGzbti2gOpYuXYpjx47hhx9+wNNPP41bb7210aTIVz4mJsb49OnTp9XbQURERJ1Xl0mMiouLoaoqkpOT/eYnJyejoKAgJG0uWrQIZWVlxufYsWMhaYeIiIg6B1NHB9BRbr755mbLWK1WWK3W0AdDREREnUKXuWKUmJgIRVFQWFjoN7+wsBApKSkhbdtut2P48OEYP358SNshIiKijtVlEiOLxYKxY8di06ZNxjxN07Bp0yZMmjQppG1nZ2dj//792LFjR0jbISIioo7VqW6lVVZW4vDhw8Z0Xl4ecnNzER8fj759+yInJwdz587FuHHjMGHCBCxfvhwOhwPz5s3rwKiJiIjobNGpEqOdO3di2rRpxnROTg4AYO7cuVi1ahWuvfZanDx5Eg899BAKCgqQkZGBdevW1euQ3dbsdjvsdjtUVQ1pO0RERNSxOu04Rp1RMOMgEBERUedwVo5jRERERBRqTIyIiIiIvJgYBYCP6xMREXUP7GMUBPYxIiIi6nrYx4iIiIioBZgYEREREXkxMSIiIiLyYmIUAHa+JiIi6h7Y+ToI7HxNRETU9bDzNREREVELMDEiIiIi8mJiREREROTFxCgA7HxNRETUPbDzdRDY+ZqIiKjrYedrIiIiohZgYkRERETkxcSIiIiIyIuJEREREZEXE6MA8Kk0IiKi7oFPpQWBT6URERF1PXwqjYiIiKgFmBgREREReTExIiIiIvJiYkRERETkxcSIiIiIyIuJEREREZGXqaMD6ArsdjvsdjtUVe3oUIiIiLokd34+tJqaRpfLNhvMqantGFHDOI5REDiOERERUfDc+fk4+utbm02M+r66MiTJUTDnb14xIiIiopDSamqg1dRAMpkgWSz1lguXyyjT0ZgYERF1YpomsC+/HCVVLsSHWzAiNRqyLHV0WGelUOzrpursjsdWslggW6315msAhMfT/gE1gIkREVEntfVwMVZsPoIjRZVwqwJmRcLApEjcMWUgzhuU2NHhnVVCsa+bqhNA5z+2mgrIClBTCVjC9N89Ln2ZrJz56StXe53a87oY9jEKAvsYEVF72Xq4GL9f8w0qnR7EhVtgUWS4VA2nq9yItCpYcsWoznMC7eJCsa+bqlPxPg+uaqLzHtv8XGDtA0BkMnDgQ/3n+FuBLU8D0IDIJMAWB0y+G9jxGjDrSX29tQ8A4285My81AwDg/P57HP31rZDDwxu+YuR0QquqQt9XV8I6YECbbw7flUZE1IVpmsCKzUdQ6fQgJdoGm1mBLEuwmRWkRFtR6VSxYvMRaBr/rm2tUOzrpupMjrKgxOFCicOF5Ghr5zy2qgfY/CSQ/7WeFAFAZSHw2ROAWgOoLqDsJ6BoP/DxH4CifcBnS/XlhfuA9d55m5/U6+pimBgREXUy+/LLcaSoEnHhFkiSf58TSZIQG27GkaJK7Msv76AIzx6h2NdN1en0CAgBCCHgdPsnP53m2O57H8jfDWhu//miTpIjVMBxEjDZgKPbgKNb9d8dxfrP/N3AvjXtF3cbYWJERNTJlFS54FYFLErD/0RbFRluTaCkytXOkZ19QrGvm6rTo2kAACHO/N7a9tqUoxjY+gLgrgGEu/nyEEBNOeByAM5KwFWhz3ZW6hu59QW9Tl9pl0u/bVbnI1yd57vMxIiIqJOJD7fArEhwqfVPnADgVDWYZQnx4fUfe6bghGJfN1WnSdZPu5J05vfWttemttmBigKgpjTwdVSn3tlaqPrvskW/2iQ0oOIEsO0lyDYbZJsNwuOBVlVV7yM8HqNMR+NTaUREncyI1GgMTIrEgRMVSImW/W7HCCFQWuXGsJ5RGJHKh0BaKxT7uqk6rSYJ+qQEq9n/NluHH9vju4G97+lXf4LmvS0oBCAJADJQUwaEJwJ734V5+Gz0fXVllxj5mleMiIg6GVmWcMeUgYi0Kigod6LarULTBKrdKgrKnYi0KrhjysCzfsyb9hCKfd1UnYUVLsRHWBAfYUFhuatzHdvv1gPOCsBT3bp6NBWQvI/sa6pe56GPYU5NhXXAgEY/nSEpApgYBcRut2P48OEYP358R4dCRN3EeYMSseSKURjWMwpVTg+KKp2ocnowrGdU53ic+ywSin3dVJ3PXZOB567J6HzH9pwswBoFmMNbV4+s6LfVZAWQTXqd51zUNjG2A45jFASOY0RE7a07jo7cUTjyNYCNDwNfvQU4ioJcUQIg9M5TslV/gi0sTp8/5iYg86EQBBs4viuNiEKmU/5j3gIej4b//foEjpdWoVdsOGaP7gmTqemL6IFse2P1BrrfNE3gm+Nl+OpYKSQBZPSNxaheMX5la9cVG2YGAJRWuxust7GysWFmeDQNH+8rRLVTRUbfWMwe1RP7Csqxdm+B37yDRZUNrq8JgT0/ldWLs3ab0TYTDhdVIvfYaVS7NIxKjca5afEY0TMaBwoqUOxwoqTShVKHE3uPl6Na1dAnLgyzRqRAUWSUVLlQUulCRbUbAkB0mBlx4WaUVXsQE2bC6So3Kqrd0IRAWY0bxRVOVLlUJESYIckyUqKtKK/x4FSlC+EWBeckRyEx0oqESKvRj+eb42XY+WMJ9v1Urvf7kST0jLbhcFElZg1Pxr/3FWD30RI4ajzQhIaiSjeE0BBmNiElyoKTlU4cPulAjVtDUoQZLhWocKvoGWPDfReeg5/Ka7D7x1P4rsiBSIuCnnHh+PmgBGw+eBJfHTuNCpeGvrFhmNA/HrERFiiSjIy+sRicEIFH/7MfO4+WwiIDqbHhiLQpCDObMLBHBEyKgtF9YgDA7zj49m1JlQuRVgX/910xjp5ywKrIiLCa4PQIZPSNxS/SU/2+85om8G2/m9Bn3zpY3S6YXaUI6P9sxapfIRICUMz6OEeKFZBkIDIFmPTbQGrpNHjFKAi8YkTd3dnyioqVW47A/tkR/YQKvU9BVJgZ2VMH4tafD2xwnUC2vbF6LxmZgqOnq5vdb1sPF2Pp2gM4WFBpPMptVmSckxyJRbOG4bxBiX5xOJwqqt0qJAmwmRVEWBS/ehsra5IlvW9LnX/9vX/z+1EkIMJqggTJb32nR4OqCUDS1/PFeVl6KrZ8V4wjRZUoq3LD4Vbr7UtZAsItCmRJgsPlQSMPhMGX3zU01mFDsQZKkYDYcAtSY22odHrw46mqBtvoKL5kJNCQvH25IQFQJAlWswyrSYGjxoOaxnYugEirggUXDsatPx/o91250L0Zd2t/QwzKYYbaTHIkARGJejIE6E+kVZ8CwhP0W2kzHgNGXx3gloROMOdvJkZBYGJE3dnZ8oqKlVuO4Ml1B6FqAiZFgizpJ16PKqDIEh64aEi95CiQbd+XX9ZgvW5V/yc2wqIgNTas0f229XAx7v1nLk5WOPUTnCIBQn9thADQI8qKX5/fH//z5VFUOj2wmmScrHDqyQkAWZKQFG2D06Mh0qrghol9GywrhP7CzmAp3rNjQ+ubZO98oSczkTYTzLKEYkcg4+B0jGCTj67A950LhiIBvxzfB18cOWV8v22ywIOVj2O0JxcRcEGCL/ky+Q/yKCl6AuSpBvpN1kv98Ln+XjV3NZB2AXDNm4DS8Ten+EoQImpTZ8srKjweDfbPjkDVBCwmCSZZhizJMMkyLCYJqiZg/+wIPJ4zp/5Att3+6Xewf1q/XkWSjBNwtVuF1SQ3uN88Hg0vfXYYJQ4XJEm/+qJIMhRZhtkkQwJwqtIJ+6d6HMlRVpRVu6EKvazZJEMAKKt2IznagooaD+yf1S9rkqUWJUUAoApAkRtOJDQBmBQJwlvO5VZxqhMnRYC+HZ372xq8lvzvpwpg9c6fUFlz5vsNxYR3Im7AUdMgbMQkAICITAamPggoNkCxADG9gaThQNbjQNIIYOoifXnyCGCmd96UBzpFUhSsrhcxEbW7YF6bMKp3TAdF2bz//foEKqrd3is6/n8XypIMk6KhotqN//36BK44txeAwLZ9X345yms89eqtfZ7ShN43J847cF/t/fa/X5/AtwUVEEIf9K92OxIkmBQZHlVDeY0bvWLD4PQIOD0aTLJklFVkwOlR4XQLhFkUnCitRmqdsvWjCo4m/Nc2ahT+J2WnR5x1ScfZzKMJKIrk9707YhqE30c/AYcHeMJRjj9fMxmj+sYDkxfoBWTlzM+RV56Znvef+vO6GF4xIqJmnS2vqDheWqX3/Wmk04Ss373C8dIqY14g2+5S9VtUdesVdRIJd53+Hr79dry0Cm6PXrKh0CTJW5f3oR+Ppum/N1DGo2lQJP3KUN2yre040eAVCe8+q103k6Kup6FeNZqkwKrIqJDDUFLj7StmsugfWfFPjnwamtfF8IoRUSfmzs/3GynWU1QEzek0prXKSsiRkfqykhJIAlAS4o3lstUKU1KS/nsrRpWt/YoDWwP/4IXqNQZ1t7+uYLepV2w4ZJzpC+OTWHUaVo/LSCL6O+Lh/F7fzvjiCiRXn4YzPKnRbbcoEmqk+vVKkn8nYXOd5Mq333rFhsNskgCXXtZXRWLVaaRUnIRJdRt9jRIrLTArMpIrauAxWVAU1QPF4XFG0mSSZdR4VMjQkxWTIutJkzee1vD1YelRdRpW1e2XmCky4LsD6VbMKAyPM8o1xqmYcTI8rsk226KO5uobUHYc4W79e+aWFZRZo4xlMc5KuGUTSm1RsKhu9K4oRJhH/38wsboUJk1FlckGVZbhMIeh2mRFhSUC8TXlcMsKfopK9qsrvqYcgECJLRpl1ihjnknzwCMrfvPNmgduWcHJ8DjEOiuNGBuKs9IchlNhMX7bFl9Tjh5Vp9GnohBWjwuq9xUkiVVlMKtumIUKi+pGmKcGUZ4axFc3/hSa/CZwIOC93Las48ZiwFtvtVt7TIyIOil3fj6O/vpWIzEQHg/UkpIzf5oLAWga4Hvfku+FlLJ85gwoSTAlxAOKCbLNhr6vrmxRctQRr6iou/0NCXabZo/uiYc/2oeyKjdkSYMsyUisOo3/t+UvsKou46pPz302HPVuo00IPOAEHptyO0TPng1u+4jUaOzLr0BZ9Zl6Af8rOrIE43H32usO6xmF2aN74r3dx/BlXgk8mgazLKNHdSn+9NlLSKoqafRkJQAUhcdj8dQ7UGCNhc2swGqWcLpKRVSYGdVuFdE2E6wmGdVuDaY2SIySqk7j0a0r6yUXvitWAOAymfFsxjW496t/NpvU/PG8WxtNbHpUncZjDbQVTB3N1WdSPYj3vfjUS4NkbJDsTWtVSYIkRNC3WRqq68yyhm/b1J2vAmjo+otRt/f3U7Yo+Hq1yZqGOGc5lDa6fteRA3I4d+7C9zfe2G7JEW+lEXVSWk0NtJoaSCYT5PDwMy9XlCQ9+fElRLV/BwBF8ZsnWW2QTCajvpboiFdU1Nv+Op+WbJPJJCN76kAosgSXR+hJiLsGVo8LbklGtcmC8NgoyBERZ9oxmxGnaIiV1Ua3PXvaYGRP869XExpUcaavTZhZQY1Ha3C/mUwyfjt1EOIjLBBCv+Vm8sYF6CdKVZIARYEqyVAlST8pCsCquqA49SfZYsLMKCx3IcpmQvbUgYi0mlBY4UJ0mBmKpPclaek/+ooEqBpgU92wqm64ZRlVJguqTBZUmyyoUvSfHlmGTXWjp+KqV672xy3LsHrraoy1gbaCraOx+qq9cbu9VwFFrY8qSVAh+T2oLqFlT/NpqF+Xr72GHoSvPV/Umlc3xtpxagBkofntK6diOqtuaaoni9utLV4xIurkJIsFstWq/6Ms6X8hSrIMoXrv+UuS3z0SyXfFSAgITYNk0W9vCY+nfuVB8L3iwDfWSZkmYJYlDOsZFdJxjHzbX5eGlm2T71F833hDHk0/yWgmMxJiI5EQ6d+WBsDq8eDezHNg/97T6Lb7tt9Xrwr9ZBob7j+OUWP77bxBiXjumgxjHCNVq3VClBWYTTJkSYIsBNyqgBCa0elHkSWEW00QQvjVOyI1xjheYRYTql2tGMdIklDtUmFS9JegemQTPMqZK2CSBNhMCmLNAp5KB8zeW3hu2QR3rXK+dhQJkIULjXTdAnDmtmRjdQCAWQu+X5tHNkEz68MuSNCAOrm1kGQI7xUi35VYAQkiwPSo9u1QIcvQvHUJTfNPhSQZQjSQHnnn++qqs9CY64tT1jRjnkc2QTOZIWT93wUhRLNXe5obE6rrDd/aOkyMOhNN7Xwd1hhTYNoipo7ertrtNxLLeYMS8bMBCa0f+brF21r7lNOC9rw/b/35QMw7rz/+9+sTOP3tIcTlmhEREwnFZsWZU4R/O2P6xeGNKf39tz0lArLpzD+jt56fhnk/64v/3VuE/NMVSI2LCmrk6/MGJeLD7PPxzfEyHNj+DaJ3mqB4JG8y4r1FIkmwmiTv+VogPsKC567NQGmPXv4xaeqZ4/XTaZTUqGdGrnbUnBn5+kAxampcSO+XoI98nX8a6/bpI1/75vmNfH30ByhfWZAYHgZYbKhyqZAgEGYxIcwsQ7hc0IQbd00fDOlrvZxTNqPK6YEmgDCLgnCLCVbNA1dFBR69fCROxiShtMpTf+TrYz9A3mNBjMUGj0mPXZEBRZahaoDicQFVGu6cOhDVyT39Rr5ODJcBxYyeUSaUOQWKHSqSTyuIyzUjPjwMJpsVNrMCtUKDu8J3tPUUQZElSJKeNEneBFWWACFJAV02qn1UzYoEIcnQNL2u2mVkWYKk1l/XpMiQPKqRsEh1CkhCX2JWZEiyNyaPQIRFRkx8GMLCw1DjqAYqJf0+XABxNvTMYndLiHyYGHUW+bnA2geAWU8CqRkdHY2OMQWmLWIKpA5PNaC69SH3AfhfYK/1T5jQ9GmPWx+ALdj2gSZjkWWpdY/kt3R/uauAsuNATK/gXnLpa2/8LcCO14x2TSYZV5zbC85YJ46+atIvurmrgNKj+nqxfeu147ft+bnAG7W2Iz8X+PBOmABcMflu4IfXgGFPAqZe9ddtgixLSO8Ti6HuXvjRrOjnNdUFwAxo3ltGigWyJEFIetI0sGc0rAN6nImp1rbKAEZtqBPnp3fqA/CZwzB28t162Z89CRQXY8zaOzHGuww/exGw9PaL2+mOxlFZhVx5HHJCb4RboR8XJREoL4YI6wFIEtISI1Agq5ArjiJc1hCnefQXiqoKYO0LTXXBXFOMia7tsO75lx7fz8f4HTfntvv0tsLM+lXD6tP68VEsQFw/aG4HtJpCXKF9DOu+zfo2AYDqBCpPAmHRQE25PubOlAfgXPcyjpo0yIobculRQHVCcgESvP9PSfpjhGbNCcgShPClSwKSUCEHNN62fxlJdQGSgCx8y86UMWkuNJR+SJoTvp4uEoRxopYgef//9n5X1BpA884SEsJcpVBOn4JUDlhVwKWZ69XdnPZPhjpf+tXt+hilpaVh9OjRyMjIwLRp0zo6HJ3qATY/CRTt13+qrbvlwZi6WEwB1SEAR7H+U3hPjppHn9Y8/uU0j/cEqunvL2ruH/La7X+2FPjsidDt4xbvLwFUFOjJYUUBAn4g3Nde4T5g/R+Aon1N7+OKAsBTo3+aaqfudrhr9H138oA+7+Pm2gqC7x1Umks/AwrtTILU3LbWPZ6+OIv2AyVH/GP9bCnw6ZIzy04e0NetG7/qAWrKANW7j3zHpfy4/tNRrMerqno5j1NP7ISm//TtW0exnuh/sbz+vvJtS8lhvQ4Iff3yn/Sfnhqg4gRQWaRPb3/VG/dh/VN2TI+vskgve+qwvp2++hwn9fm+MRB8vXaM3+FdduYWlT4vkF5GgXw3mykjfP+pW+5s6jXUeXW7xAgAtm7ditzcXHz66acdHYpu3/tA/m59aPX83cC+NR0dEWNqz5gCqaO6VD+pwfvoj+ry/iPundbcMK4cCc3bL8L7e01F/foaa//oNuDo1tDt45bur+pS/WqObNJ/VpcG157Jpp+ITbbG260pB1yVZ6ZdlY23U3c7Pv6Dvu98J1PHyabbCpS72v8pRB9N028LNretdY+nEaf3hF871qPbgB+2nFmmafq6deM/vEH//kmKvo9clQAkPSGXJP176q7S1/U4Ue9kLgTgrNDLQNKvAtXdV75tscXqbdWU64lX7STNWXEmQRQe7x8BTXAU6VeaPE7A5Whuz1O76XzJXrdMjDoVRzGw9QUAEmCL0X9ufcF7dYAxnfUxBVCHcFZDKy088+++gN7xWjszXfstnELTHwX3/fErKoshnNXNt2+O0E8YLgdgiWjZ9rRyWxvi237NA2iqrP8sLWx8m+q2p2lnEh5npX5irtuupkJUnILm0aCpes6heTRopQX126m7HZoGfPVmrZOtd8c7KxpuK1BVp/1O4L6LRfpFDgGhes4M0VB1uv621lT4H09fnM5K1HvOqaZcn++urrVM09f9/Lkz8TuKga/e8sYj6/vI91EBza3peZWzAtj7HiA0CE06s09r7VvhETC+xLWPy8mDZ/avd5weUV4MreJUnToEhBbkbRhnpR5TrXoaughkXCxq6ftTAq2rsZwgwFzBqLv2PO/+DuRicefRuQLtVInRli1bMHv2bKSmpkKSJHzwwQf1ytjtdqSlpcFms2HixInYvn17UG1IkoQpU6Zg/Pjx+J//+Z82irwVttn1y8rh3id6whP1S8TbXmJM3SGmJuqQbTbINhtE5WloTg80zfu/a5NX2H1XF7xXkiQJwqVCVJ426mu0fUcRjCGMHSfbfh8Hub/qbb+qQHML/afT0/g21W3Pd0VNtug/hebXrmyzQRbVEB43NLcMzeP9uGVoTnf9dupuhxB6n5a6V3B8t49auA/l/ashK96zntE/RfIeW9+gQQKSLQzy/tX1t9UXk+94+uJs6MpKY/M1FTiddyb+bXbIzmLIZhOER9X3kVuC5obxu1ABWXJDqcmHbNKTF2Of1voIDZAVDbLZ7H9cPrzT2L+ySfK25dHbqVeHBNkkICuBnVhlyVU/Jq2h06BU61N3fpBqH7sG22lIoO3UilMSkGpvm9qpTu+tpvRovxdUd6rO1w6HA+np6Zg/fz7mzJlTb/nq1auRk5ODl19+GRMnTsTy5cuRlZWFgwcPIsk7um9GRgY8DTzCu379eqSmpuLzzz9Hr169cOLECWRmZmLUqFEYPXp0yLetQcd3639VWSL8h1G3RAB73wWGzwZSxzRdB2PqujE1U4d5+Gz0fWwBtA9/B0gWwBoFT2kVtLJC/SQiydDkWMhaGSA0eGokSJCghJ1pQo5NhsmmAsIF+fJ7/AdCrN2+xwnUlJ4ZD6n6tH41pK32cQv2lzk1td72G5wVDW9T3fZkE1BVDEiyd9hmWe9jEp5otGsWAn2nlUKrKPWWqzVgptCAcBnyHG87dbfDVQXUnPY2KmolF97bmNWlQESP4Pfh8d0w569Dv0sluApPQ/PUuSwgKQAE5MhYWC6+AuZvXvLf1trZsyQDVaf8b8U1q9YzSh4nsOdtIHEwsPc9mOMj0He2Aq2k2HsJy7vNitnbrAZZVmGO8KDvFDc0tfGTvKwImCNNgPAeF2u0fgstMgmQFZijgb6zAK30VNN1RDRzG83LHKGi75SSejHVnDZBdfue+gOUsDP721MjQ5YFTGEaNFWCs0yB5tHLuh0KICTIZk0fXsyiQTYJKFYBT7UESQasMapfXZ5qCZKQYArToIRpxjyhSZAl+M0Xmh6POUKFxykbMTYUp2LWYA7X/LbNUy3D5VDgLJMhVN8I6AKeKgWaJkGoEjRVgubS71Jq1R2dTDU8cn63Hvl61qxZmDVrVqPLn332Wdx6662YN28eAODll1/Gv//9b/z1r3/Fgw8+CADIzc1tso1evfQnRHr27ImLL74Yu3fvbjQxcjqdcNZ6/UJ5eXkwm9O879br/8DH9PGfb43WOw8e+rj9T/iMqf1iCqAOMwCEV+plJAlWcxUQXgPIZkCrAcxlep8O2ax3NgUAkxWApF+xiKgCIpP1+sp2AZjRcPuVhfrVAcV8Zt2a8jPrtnYft3B/mct3+22/QcQ2vE1121PMtbYLekKhuvR5nhq9XQBmUxkQ7dHL+Z6pFtCf7DOVnmmn7nY4y+tfKapNv/93pq1A96G3HXOEGeakGpy5JOh94kk26YmbqRQ49r/1t7Veh/xg76vUetJRqHqCl/uWse1mdyEQ5dKPia8tGfr30OMy2gooYdEk7/fXpd/K01S947aX2XRaPzZtpKGYrEHUH9Wyt+p0CGs0ENHRQQTjT2UdHQGATnYrrSkulwu7du1CZmamMU+WZWRmZmLbtm0B1eFwOFBRoXdEraysxCeffIIRI0Y0Wn7p0qWIiYkxPn369Gm0bIuck6X/Feysk3A5y/X551zUtu0xps4VUyB11C1ji9avVAiP/jM8wX9aNp35K15W9Ks+jcVUu26j3gDXDVZL91dr15OUM9sFnNk22eS/j20x3kExa12ZEap+9Sgs9kw7jR2Pxsgm/7YCVTd+P95bJ77Yxvyq/rb6rSPp01IwfwfXSkIlRW/n3F/V/774batyZv8Gc2qpvZ45XP+p1Io1PL7xdYlCoMskRsXFxVBVFcnJyX7zk5OTUVBQEFAdhYWFOP/885Geno6f/exn+NWvfoXx48c3Wn7RokUoKyszPseOHWvVNtSTOgYYeaXewdH3V6em6tMjr+qYcXoYU/vFFEgddcuYwwFrjP67LQYIizszHRanf3xPLIXF6U/hNBZT7boVq/4EUKDrttf+au16mkffP75RooXm7TDt9t/HGdd7+yD5ejd721EsQPr1Z9pp6HjY4ryNSrXGjRL6LaywWP+2gt1fmsdbf61bW77kxxdb+rX1t1XU6nsiND2BDotrvL16fLfiJP0KZPr1wOhr639fjAtZvn5Pmt6OyRZYIlZ7PV9ymnqu/hi/73hbY4JM6qhL6iRXi4BOdist1AYMGIA9e/YEXN5qtcLawKsI2tSkbIjDG+EuL4LTlghrTTHM0SmQJv02tO12UEyBjP7bVjEF2lZz5Rpd3kRMja1Tb/7E30JqoA4x8Q7s+6kMJVUu9Oh3E4bVLiMkmE1WeDQJNU6P37TTGo9wlACQUGWKg6XiJDxhPZCbdA0ijpUCAEqr3cYIyI6ka5Fh+ximipNwWc6s6zDFQSkrghqWiB/73gD1WClKqlwodbgRF25GQqQVw1KicKCgAsUOJ0odbsSEmVBW7Wnw5+kqN1zypZgh/wfhZUXwhPWAqfokqs3x+Fi+BOadx1BR7UZhuRPJMVZE2cxw1HggAMSHXY7J8n9gKSmAw5yAaE8JXLYErJUuxg8f7YfWyC2icPeFuE58hEjXKViFApPmgkc2w+nUUGlJwD8qL0TM598jymaGW7oEF5o+QILnR/32mTcRKZCS8VL+ZDj+vgvVbg0uj4ZB4VMwT/1fRJw6gdNSHGI8HkTADAUahDgzGJ9HMsNRo6IYcfh/32SgYv8WRFgUWE0ynB4NlS6P3i1JCNS4NXg0DYokQZZkmEwSBoaNx/2uDxHpPoVImGCF2/sAor69P7gTcfd/h6Hky/WI0YbjBTUCcTiNKMiwCCdcMMEEFRDAkQor4lCGaJhhgsd4saj3xhxckhmK8NR74agKCYedCbhx42CUbPw34nAO/mYJR0LFTyhBFAZLAhJkeIQCs+aEG2aUV7hRggQoUJEmnYC5geMjvHV7hMlvvZOIxd2nrsbzFjsSKn7CScSiB0pRgST0kYpgg8f/dRven4F2VXbCBAWe7nXiawtSZxyGMXS6zPcjMTERiqKgsLDQb35hYSFSUlJC2rbdbofdboda6753W9l6AtjjmoWrql5BdVUxwuDEO7aLkXECOG9QmzfXoTFtPVxsvLfJrQqYFQkDkyIDes9WsDEF2lZz5ZpaDjQck3lXGbZ8V3+dnw9OxJbviv3mJ0RaMMU5A3Or/mrU8YY8E5tXfYtTlS64VQFNaMjSpuIe8SZqqophgxuf4ueY5tmBmuq606ehCgsACaWnT8MGF5ZVTMO6d3+AW80z3pPlVoXx+0XaNNyv/A9qHKehQl/3dEkJwiQ3llZOw79XHQTgfdpYCMiyhDCzYiR61W4Vqioa7cFSe/5/5elYZP47aqqKYJPcWFJ+If61vgBA01d9f+Fdz+ksQYXkxpLK6fjXhsIm1wGAH+VMvT1hRbzkQpnHClXSsLRqBv7131IApbXauAgPm1chEnqfnkrYsKzyYvxrf41ffJ8BOCnPwCLz3yGJMrgk4CN1Ci5TtiISNdAgQYJAqccKVRJ43n0RtjkUAM2MJ1XHQQBmOQuLzH9HhQiDRXJDeOuuhA0vuGfjQE04ADcKEY6X5FlYZP47KoUN8ZIblSIMZknvO2MTNRCSjHe8cUahGjLOHLMKTS9rhgc2uCFDQIMEB2xY4bkMpxANAChBNFZ6LsYi898RIWpQBf0PR7cwIV6qQKWwQUgSVrgvgwSBh82rEI0qv5OqBqAGFrhhqrfeK+5L8D16GW1ECwckCXjRfQXGyQdxo7LRqMsDCYo3TsW7LU2dvAWAChEOs+SBDU5Y67wrI9gkq1vxXkSVQrVzOtHVIqAL3UqzWCwYO3YsNm3aZMzTNA2bNm3CpEmTQtp2dnY29u/fjx07drRpvVsPF+P3a77BqrJzccg0GAkoxyHTOXij7Fz8fs032Hq4/cfoCVVMvnoPnChHhNWEpCgrIqwmHDhR0Wy9wcYUaFvNlVu55Uijy+/9Zy7u/WduvZhWlmTgyXUH8fVPpX7r7DlWVm++JAH78svxl1MZOCAPQgLKcUAehL+cSse+/HJIkoRwi4LyGg/+WT0ee9QBiEM59mgD8FDN9fWmc9UBiBXl2K4NxXZtiLHsX+6JcLhUeDQNbo9W7/d/qROxR9Pr8q0bL1VgjzYA/+v5GdyagFsTUDU9mVJVgfIaD0qr3Civ8cCjCvjGB27oU9tH2iR8rQ0w6v+39rOAvj+tXc8quVAsomGV3I2u/5E2CTu0oUbc27WhjbZTN57HPDca62oAikVMk20Fqnb8J0U0NEiNxtbQtm7XhmKHNrRenL7jpUIyYt2uDcU2bYSxTIPUZDvxUoVRf0P717c/6/45qUHGVm1Eo+s1tH//rf0Mj3luRLHQEzQBYIs2GsUiBjIEnFCgevdNQwm6qHVMtmtD8YU2ql45fV9E1lsv2BF22mDoI6PtupwNzGtPQT3YGKiBF4eg0tbpVIlRZWUlcnNzjSfL8vLykJubi6NH9XcX5eTkYOXKlXjjjTdw4MAB3HHHHXA4HMZTal2Jpgms2HwElU4PesRE4J2IG/CDKQ3vRFyPHjHhqHSqWLH5CLS6r7/ugjHVrjcl2gab92qDzawgJdraZL3BxhRoWx6P1mS5ihoP7J81vDw5yoIShwslDhcSY8KNmP4Zfh1cmgRVE/CoAlazDFmWYDXJUDXNb74kAWXVbv2hHih4Qb0SP5jS8II6B5qkQAJQWuVCscMJTQCKyYQX1Dn4VuuNF9Q5gMnqNy0UC/7smYODWh/YtSvxvHolDmp98GfPHKjefi9arT+pa//uFgpeUPV1l3uuxHJPrXXh38FW1VDvT+pgvg0qFCPO5xuoP3Tr9cXjnhuaXF+FguWeK3FI641Dog/+7Lmy0XbqxuOCpda6ffFYM20Fyj/+G5uMraFt/XOt4+kfZx/kiRS/WP/suRLPea6qtay5dmrXX3//ntmfffGTSEANzPhJJOCQ6IPlnqsaXa+h/atCgQsWPOa5EVWwIE+k4FnPNXjMcwMcsOF5zxwj7jyRguMiETUwoVDEoAZm5IkUv+181nM18rQUuGCCEyZvXH3xmOdX+ElLgAagSMQgT9PrKxQx0CDh/zwjoAIoF2FQAZz0RHrjBdxQUAMz3vJkwuM9tQoAJSISTm87FUK/wvZ/nhEo1GIAAB7IKBdhfkmYBzLyRAr+zzPCqMcFE573XG2sp5fTy2re332x1Bm+06/uxoZAC/R+SJufkW76e1vX2GqSECHJAVvks88+a/D9ZXPnzsWqVasAAC+++CKeeuopFBQUICMjA88//zwmTpwY0rhq30o7dOgQysrKEB0d3ao6v/mpDLe9uRMRVhNsZv0fA1mo0LwnsWq3iiqnB3+5aVzrXtjZCWJqqN7amqo32JgCbWth1lA89fG3jZY7XeXCidJqpMaGITbcf2yNapeKH045AAikJUQizKJAFiocbuDHkjMjFfeLj0CYRUG1S603H9DLyt5r05oQ6BlpxolKtzFP9b7WQ5ElyJIEj6ZBVVUoigKTLPtNy5IEp0eDDA2KosCjCkjQoAXxt49cq7zcwLq+/ihtoaH622O9QNaXvX/zB9JO3fpqr9vSWJtqJ5DYGtrWxuJsKNa6y5prp7E267ZVe1kg6zUUNwCY4IH+TZeNaQ9MfnE3VHdD21l3f/rK+Oqs264LFljgggcmYzoWpajEmStNvmW+crVj0yDDhhpUIRwyNKOMBhkWuIz2ffM0yAhHlTHtq8sCF2RocHnH/fFtlw01qIHN2La6+84CF1ywwIYauGAx2vLFFI1yIwYZGsZgM2yogQrFm+qqsNpMeHL8wDPDNKgu/afmwZnh2Wt9fK9xMR5sEPrv0YnAnOX1jnmolJeXIyYmJqDzd6fqYzR16lQ0l6fdeeeduPPOO9spIl12djays7ONHdsWSqr0/iMW5cwXV6v1JnSrIqNMEyipcrVJex0ZU0P11tZUvcHGFGhbx0urmiynSBI0NHxP3eN9DYMQvt8VaJICj+aGEIAi61dWfMs8mtbAfPgGpjYeHHJqkt88TXjf6l3rEo0GGbUH+fVNi1rTsvD9hRjcSbn2P6JtdUIPpK32XC+Q9YNpo27ZUO3DlsTfVCxtEXdD6zS0bkuXNTa/bsLim25smxrbttrJVd31XA0MNOibV/dnKWIbjLF2nLXbqUK4Ma8GZ0Ztr/17bb7ytetqrGztBK0hdWOvO78E/kMjbMCV9eowu4AnL7mkyXa6uk51K607iQ+3wKxIcKkN35F2qhrMsoT48IZHAu1KMbWm3mDXDbR8r9jwJsupQk8rGsrTTd6RkfXOy7LffMmX0NRa1tB83zyBMwmSWfGfJ0v6K2zqhVA3WZP8Ezipmz1BQkTtJ9Jq7ugQQo6JUQcZkRqNgUmROF3lrneVTAiB0io3BiZFYkRq627ZdYaYWlNvsOsGWn726J5Nlqt2qYgKM6PardZbbjVJevIhSbCaz6QgNrMMiyLD470SZbPIjc63mWVYTfrtMI+qwWpSEBNuqjfPapbh0fQn0zRNQJH02251p0WtgQklCL9ESQ7y98b4uiUFUpaIzk4fL5jc0SGEHBOjANjtdgwfPrzJwSCDJcsS7pgyEJFWBQXlTlS7VePR54JyJyKtCu6YMjCwMX46eUytqTfYdQMtbzLJTZaLspmQPXUgIq2messLK1yIj7AgPsKCwnKXsazGo0GRZSiyBJMiocatNTpfCCA6zGyMJRgTZgaE5DcvNtyCxAgrZAlweQQkSUJClBWyJNWbdqt6wmKSJb2DtDeXk6Xgfq99BBo6zIp8pqwP8ySi7sGqSEiK7VIvGWmRTtX5urMLpvNWoPzGydEEzHLgY/uESqhiak29wa4baPnmyjW1HECDy/zGK2pmfkKkfgvwVKWr0XmapkEVer8nfeygxqc9mn61q6HxigL9XQj98Xv9Hh8ge1OfthjHiIi6Jqsi4eDjne/R+kAFc/5mYhSEUCRGQCtGgw6hUMXUmnqDXTfkI183sSyY+QCanecbZTqQad+o1rVHuA7299qjXMdFWOrNa8nI1xXV+sjN0WFmxIWb/eZF2kyNjnztW1ZQVgMhAT1jbIiymY15jY183RxJkvzqOlFajaJKJ2o8GqyKfru0xiOM330jX/eMtkJIEiQhkF9WA6dHg4CAVZHhUgUkWcLw5ChEWBUcLKxEfmk1NKFf4Qtm5OukSAskSUJheQ1cqgZJSHBr6plxo4QwHhLw/a4KAbeqQWgCquYdJVuSoEh6+4B+6xUC8Gj6PrCYJCje7fNoviuPAATgVP0f4+bJovsJMwObfze1y18pYmIUIqFKjIiIiCh0gjl/s48RERERkRcTowCEovM1ERERdT68lRYE3kojIiLqengrjYiIiKgFmBgREREReTExIiIiIvJiYhQAdr4mIiLqHtj5OgjsfE1ERNT1sPM1ERERUQuYOjqArsR3ca28vLyDIyEiIqJA+c7bgdwkY2IUhIqKCgBAnz59OjgSIiIiClZFRQViYmKaLMM+RkHQNA35+fmIiooyXsg4fvx47Nixo8HyjS1raH55eTn69OmDY8eOdar+S01tX0fVG+y6gZZvrhyPdfvX25WOdUPLeKxDt257HOumlnf3/7dbW2cojndTZYQQqKioQGpqKmS56V5EvGIUBFmW0bt3b795iqI0+j9AY8uaWic6OrpT/Q/VVKwdVW+w6wZavrlyPNbtX29XOtZNLeOxbvt12+NYN7W8u/+/3do6Q3G8myvT3JUiH3a+bqXs7OyglzW1TmcTqlhbU2+w6wZavrlyPNbtX29XOtbBtN/ReKxbv7yrHGsgNLG2ts5QHO+22k7eSuskOBRA98Fj3X3wWHcvPN5nB14x6iSsVisWL14Mq9Xa0aFQiPFYdx881t0Lj/fZgVeMiIiIiLx4xYiIiIjIi4kRERERkRcTIyIiIiIvJkZEREREXkyMuoCPPvoIQ4YMweDBg/Hqq692dDgUQldccQXi4uJw1VVXdXQoFGLHjh3D1KlTMXz4cIwePRrvvPNOR4dEIVJaWopx48YhIyMDI0eOxMqVKzs6JGoCn0rr5DweD4YPH45PP/0UMTExGDt2LLZu3YqEhISODo1C4LPPPkNFRQXeeOMNvPvuux0dDoXQiRMnUFhYiIyMDBQUFGDs2LE4dOgQIiIiOjo0amOqqsLpdCI8PBwOhwMjR47Ezp07+e94J8UrRp3c9u3bMWLECPTq1QuRkZGYNWsW1q9f39FhUYhMnToVUVFRHR0GtYOePXsiIyMDAJCSkoLExESUlJR0bFAUEoqiIDw8HADgdDohhAjoLe/UMZgYhdiWLVswe/ZspKamQpIkfPDBB/XK2O12pKWlwWazYeLEidi+fbuxLD8/H7169TKme/XqhePHj7dH6BSk1h5r6lra8njv2rULqqqiT58+IY6aWqItjnVpaSnS09PRu3dvLFy4EImJie0UPQWLiVGIORwOpKenw263N7h89erVyMnJweLFi7F7926kp6cjKysLRUVF7RwptRaPdffSVse7pKQEv/rVr/DKK6+0R9jUAm1xrGNjY7Fnzx7k5eXh7bffRmFhYXuFT8ES1G4AiDVr1vjNmzBhgsjOzjamVVUVqampYunSpUIIIb744gtx+eWXG8sXLFgg/ud//qdd4qWWa8mx9vn000/FlVde2R5hUhtp6fGuqakRF1xwgfjb3/7WXqFSK7Xm/22fO+64Q7zzzjuhDJNagVeMOpDL5cKuXbuQmZlpzJNlGZmZmdi2bRsAYMKECdi7dy+OHz+OyspKrF27FllZWR0VMrVQIMeazh6BHG8hBG6++WZMnz4dN910U0eFSq0UyLEuLCxERUUFAKCsrAxbtmzBkCFDOiReap6powPozoqLi6GqKpKTk/3mJycn49tvvwUAmEwmPPPMM5g2bRo0TcP999/PJxm6oECONQBkZmZiz549cDgc6N27N9555x1MmjSpvcOlVgrkeH/xxRdYvXo1Ro8ebfRZefPNNzFq1Kj2DpdaIZBj/eOPP+I3v/mN0en6rrvu4nHuxJgYdQGXXXYZLrvsso4Og9rBxo0bOzoEaifnn38+NE3r6DCoHUyYMAG5ubkdHQYFiLfSOlBiYiIURanXCa+wsBApKSkdFBWFAo9198Lj3X3wWJ99mBh1IIvFgrFjx2LTpk3GPE3TsGnTJt4+OcvwWHcvPN7dB4/12Ye30kKssrIShw8fNqbz8vKQm5uL+Ph49O3bFzk5OZg7dy7GjRuHCRMmYPny5XA4HJg3b14HRk0twWPdvfB4dx881t1MBz8Vd9b79NNPBYB6n7lz5xplXnjhBdG3b19hsVjEhAkTxH//+9+OC5hajMe6e+Hx7j54rLsXviuNiIiIyIt9jIiIiIi8mBgREREReTExIiIiIvJiYkRERETkxcSIiIiIyIuJEREREZEXEyMiIiIiLyZGRERERF5MjIiIiIi8mBgREREReTExIqJu46effsLtt9+OQYMGwWazITk5GTNnzsQ333zT0aERUSfBxIiIuoUffvgBY8aMwalTp/Dmm2/i22+/xbvvvovhw4fDarV2dHhE1EnwJbJE1C387ne/w3vvvYfvv/8essy/CYmoYfzXgYi6hdOnT6OmpgZHjx7t6FCIqBNjYkRE3cKdd94Jq9WKAQMGYPz48XjwwQexf/9+Y/mzzz6L3//+937rvPzyy8jIyMCoUaNgsViQkZGBjIwM2O329g6fiNoJb6URUbehqio+//xzrF+/Hu+88w7y8vLw/vvvY/bs2Zg/fz4yMzNx/fXX11vv66+/xq233oovv/yyA6ImovbEK0ZE1G0oioIpU6bg8ccfx759+5CUlIS3334bALB3716MHDmywfX27duHESNGtGeoRNRBmBgRUbekaRqcTid69OgBIQS+++47DB06tMGye/fuZWJE1E2YOjoAIqJQu+mmmzB8+HBMnz4dycnJ+P7777FkyRIAwD333IO8vDz07NkTFoulwfX37duHO+64oz1DJqIOwitGRHTWO/fcc/HRRx/h0ksvxbBhw3D77bdj6NChyM3NxYABA5q9IsQrRkTdBztfE1G3t2TJErjdbixevLjesurqavTu3RunTp3qgMiIqL3xihERdXt79+7FCy+8gLS0NKSlpeHqq682lh04cKDRvkdEdPbhFSMiIiIiL14xIiIiIvJiYkRERETkxcSIiIiIyIuJEREREZEXEyMiIiIiLyZGRERERF5MjIiIiIi8mBgREREReTExIiIiIvJiYkRERETkxcSIiIiIyIuJEREREZHX/wdEbQW4gHLhkQAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "selected_delta_t_values = [20000.0, 74624.8275862069,147457.93103448275]\n",
-    "\n",
-    "markers = {selected_delta_t_values[0]: 'o', selected_delta_t_values[1]: 'd', selected_delta_t_values[2]: 's'}  \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/3600:.2f} 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/3600:.2f} 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": 66,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Optimized β: 0.1, Optimized ν: 1.0\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "analysis_results2 = {float(k): v for k, v in analysis_results2.items()} \n",
-    "delta_t_values = np.array([float(k) for k in analysis_results2.keys()])\n",
-    "critical_delta_t = bipartite_percolation.find_critical_threshold(analysis_results2, delta_t_values)\n",
-    "\n",
-    "# System sizes\n",
-    "sizes = [64, 128, 256, 512, 1024, 2048]\n",
-    "\n",
-    "# Optimize β and ν\n",
-    "beta_range = np.linspace(0.1, 0.5, 10)  \n",
-    "nu_range = np.linspace(1.0, 2.0, 200)    \n",
-    "\n",
-    "best_beta, best_nu = bipartite_percolation.optimize_scaling_exponents(analysis_results2, 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_results2, 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
-}