{ "cells": [ { "cell_type": "markdown", "id": "71cf25ed", "metadata": {}, "source": [ "# 4 - Distance extraction\n", "\n", "**Description:** This notebook contains an example on how to read SRX localization data (in csv format) and extract spatial features like center of mass distances bwetween different chromating segments.\n", "\n", "The following index has links to the different sections of the notebook. Some sections may have additional indexes to access the subparts. \n", "If you are using VS Code to visualize the notebook, the links may not work. This is due to how VC Code render the notebook. To navigate the notebook use the outline panel. To know more about it, check this [link](https://code.visualstudio.com/docs/getstarted/userinterface#_outline-view).\n", "\n", "Content:\n", "\n", "- [Library imports](#library-imports-and-functions)\n", "- [Setting some variables](#setting-some-variables)\n", "- [Exporting the data with CIMA](#exporting-the-data-with-cima)\n", "- [Spatial features intra-walk](#spatial-feature-intra-walk)\n", "\n", "Next notebook to run: \n", "[Comparison with orthogonal methods](5_Comparison_with_orthogonal_methods.ipynb)" ] }, { "cell_type": "markdown", "id": "08f63401", "metadata": {}, "source": [ "## Library imports and functions" ] }, { "cell_type": "markdown", "id": "2f9902e1", "metadata": {}, "source": [ "[Back to the general index](#distance-extraction)" ] }, { "cell_type": "code", "execution_count": 71, "id": "4e7216b3", "metadata": {}, "outputs": [], "source": [ "import re\n", "from pathlib import Path\n", "from collections import defaultdict\n", "\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import matplotlib.gridspec as gridspec\n", "from matplotlib.colors import LinearSegmentedColormap\n", "\n", "from matplotlib import colormaps\n", "import seaborn as sns\n", "import pandas as pd\n", "from scipy import stats\n", "from scipy.cluster.hierarchy import linkage, fcluster\n", "from scipy.spatial.distance import squareform\n", "\n", "from cima.parsers.parser_csv import CSVParser\n", "from cima.utils.walk_features import getSpatialFeaturesIntraWalk, convertToMatrix\n", "from cima.utils.misc import calculate_rmsd_matrix, get_dtype_dict\n", "\n", "# Set the maximum number of rows to display in the output\n", "pd.options.display.max_rows = 999\n", "\n", "# Set the options for saving the plots\n", "plot_opts = {\"dpi\": 300, \"bbox_inches\": \"tight\", \"transparent\": True}\n", "\n", "# Labels for the plots of the features, so they look nice\n", "plot_labels = {\n", " \"volume\": \"Volume ($nm^3$)\",\n", " \"area\": \"Area ($nm^2$)\",\n", " \"sphericity\": \"Sphericity\",\n", " \"sphericity_bribiesca\": \"Sphericity Bribiesca\",\n", " \"density_kb\": \"Density (blink/bp)\",\n", " \"density\": \"Density (blink/$nm^3$)\",\n", " \"compaction\": \"Genomic compactness (bp/$nm^3$)\",\n", " \"solidity\": \"Solidity\",\n", " \"radius_of_gyration\": \"Radius of gyration\",\n", " \"point_cloud_ellipticity\": \"Ellipticity\",\n", "}\n", "\n", "# When showing dataframes we want that this are the first columns, so the user can manually search for them (not recomended)\n", "first_cols = [\"experimentID\", \"nucleusID\", \"chromosome\", \"homolog\", \"timepoint\", \"name\", \"flag\"]\n", "\n", "## Regular expressions to get the metadata from the filename\n", "regex_patterns = {\n", " \"nucleusID\": re.compile(r\"(?i)nuc(\\d+)\"), # This searches for \"Nuc\" or \"nuc\" followed by digits\n", " \"cellID\": re.compile(r\"(?i)cell(\\d+)\"), # This searches for \"Cell\" or \"cell\" followed by digits\n", " \"locationID\": re.compile(r\"(?i)loc-?(\\d+)\"), # This searches for \"Loc\" or \"loc\" followed by optional hyphen and digits\n", " \"date\": re.compile(r\"(\\d{4}[-\\.]\\d{2}[-\\.]\\d{2})\"), # This searches for dates in the format YYYY-MM-DD or YYYY.MM.DD\n", " \"homolog\": re.compile(r\"_([ABPM01pm])\"), ## Added just in case the homolog is in the filename.\n", " \"chromosome\": re.compile(r\"(?i)(chr[\\d+MXY])\"), ## Added just in case the chromosome is in the filename.\n", "}\n", "\n", "# Dictionary to change all the data types of the columns of the different dataframes, so the notebook is mor memory\n", "# efficient.\n", "dtype_dict = {\n", " \"experimentID\": \"string\",\n", " \"nucleusID\": \"string\",\n", " \"chromosome\": \"string\",\n", " \"homolog\": \"string\",\n", " \"timepoint\": np.int16,\n", " \"Name\": \"string\",\n", " \"flag\": \"string\",\n", " \"segment1\": np.int16,\n", " \"segment1_timepoint\": np.int16,\n", " \"segment1_name\": \"string\",\n", " \"flag_seg1\": \"string\",\n", " \"segment2\": np.int16,\n", " \"segment2_timepoint\": np.int16,\n", " \"segment2_name\": \"string\",\n", " \"flag_seg2\": \"string\",\n", " \"coms_distance\": np.float32,\n", " \"surface_distance\": np.float32,\n", " \"entanglement\": np.float32,\n", " \"volume\": np.float32,\n", " \"area\": np.float32,\n", " \"sphericity_bribiesca\": np.float32,\n", " \"sphericity\": np.float32,\n", " \"radius_of_gyration\": np.float32,\n", " \"point_cloud_ellipticity\": np.float32,\n", " \"point_cloud_eccentricity\": np.float32,\n", " \"mvee_ellipticity\": np.float32,\n", " \"mvee_eccentricity\": np.float32,\n", " \"solidity\": np.float32,\n", " \"holeless_solidity\": np.float32,\n", " \"numerosity\": np.uint32,\n", " \"compaction\": np.float32,\n", " \"density\": np.float32,\n", " \"density_kb\": np.float32,\n", "}\n", "\n", "# We create a color map that goes from white to red for the HiC plots (put it in CIMA)\n", "if \"bright_red\" not in colormaps:\n", " colormaps.register(name=\"bright_red\", cmap=LinearSegmentedColormap.from_list(\"bright_red\", [(1, 1, 1), (1, 0, 0)]))\n", "\n", "# Nice names for the distances\n", "nice_names = {\n", " \"coms_distance\": \"COMs distance\",\n", " \"surface_distance\": \"Surface distance\",\n", " \"entanglement\": \"Entanglement\",\n", "}" ] }, { "cell_type": "code", "execution_count": 54, "id": "f5555970", "metadata": {}, "outputs": [], "source": [ "# Function to plot mean vs variance heatmap of a given feature\n", "def mean_vs_variance_heatmap(mean_matrix, std_matrix, nice_name, timepoint_name_dict, hm_color=\"Reds_r\"):\n", " \"\"\"\n", " Plot the heatmaps corresponding to the mean and std matrices for a given feature.\n", "\n", " Parameters\n", " ----------\n", " mean_matrix : np.ndarray\n", " 2D array representing the mean values.\n", " std_matrix : np.ndarray\n", " 2D array representing the standard deviation values.\n", " nice_name : str\n", " Nice name of the feature to be displayed in the plot titles and colorbars.\n", " timepoint_name_dict : dict\n", " Dictionary mapping timepoint indices to their names for labeling axes.\n", " hm_color : str, optional\n", " Color map to use for the mean heatmap (default is \"Reds_r\").\n", "\n", " Returns\n", " -------\n", " None\n", " \"\"\"\n", "\n", " _, ax = plt.subplots(nrows=1, ncols=2, figsize=(13, 5))\n", "\n", " sns.heatmap(\n", " data=mean_matrix,\n", " ax=ax[0],\n", " cmap=hm_color,\n", " square=True,\n", " vmax=np.nanquantile(mean_matrix, 0.9),\n", " cbar_kws={\"shrink\": 0.9, \"label\": f\"Mean {nice_name}\"},\n", " xticklabels=list(timepoint_name_dict.values()),\n", " yticklabels=list(timepoint_name_dict.values()),\n", " )\n", " ax[0].set_xticklabels(ax[0].get_xticklabels(), rotation=45, ha=\"right\")\n", " ax[0].set_title(f\"Mean of {nice_name}\", fontsize=14)\n", "\n", " sns.heatmap(\n", " data=std_matrix,\n", " ax=ax[1],\n", " cmap=\"Blues_r\",\n", " square=True,\n", " vmax=np.nanquantile(std_matrix, 0.9),\n", " cbar_kws={\"shrink\": 0.9, \"label\": f\"Mean {nice_name}\"},\n", " xticklabels=list(timepoint_name_dict.values()),\n", " yticklabels=list(timepoint_name_dict.values()),\n", " )\n", " ax[1].set_xticklabels(ax[1].get_xticklabels(), rotation=45, ha=\"right\")\n", " ax[1].set_title(f\"Variation of {nice_name}\", fontsize=14)\n", "\n", " if save_plots:\n", " filename = f\"mean_vs_variance_heatmap_{nice_name.replace(' ', '_')}\" + (f\"_{file_suffix}\" if file_suffix != \"\" else \"\") + \".pdf\"\n", " plot_filename = Path(plots_folder, filename)\n", " print(f\"Saving plots to: {plot_filename}\")\n", " plt.savefig(plot_filename, **plot_opts)\n", " else:\n", " plt.show()\n", "\n", " plt.close()" ] }, { "cell_type": "code", "execution_count": 64, "id": "7889f8ba", "metadata": {}, "outputs": [], "source": [ "def getLogLinearRegression(vals1, vals2):\n", " arr1 = np.log10(vals1)\n", " arr2 = np.log10(vals2)\n", " where_ok = (np.isfinite(arr1) * np.isfinite(arr2)).astype(\"bool\")\n", " lr = stats.linregress(arr1[where_ok], arr2[where_ok])\n", " return lr.intercept, lr.slope" ] }, { "cell_type": "code", "execution_count": 65, "id": "525ce2b1", "metadata": {}, "outputs": [], "source": [ "def getLogCorrAndExp(arr1, arr2):\n", " import warnings\n", "\n", " warnings.filterwarnings(\"ignore\", category=RuntimeWarning)\n", " arr1_log = np.log10(arr1)\n", " arr2_log = np.log10(arr2)\n", " where_ok = (np.isfinite(arr1_log) * np.isfinite(arr2_log)).astype(\"bool\")\n", " arr1_log = arr1_log[where_ok]\n", " arr2_log = arr2_log[where_ok]\n", " _, slope = getLogLinearRegression(arr1, arr2)\n", " pearson = stats.pearsonr(arr1_log, arr2_log).statistic\n", " warnings.filterwarnings(\"default\", category=RuntimeWarning)\n", " return pearson, slope" ] }, { "cell_type": "markdown", "id": "dd945e05", "metadata": {}, "source": [ "## Setting some variables" ] }, { "cell_type": "markdown", "id": "128d65bc", "metadata": {}, "source": [ "In the following cell you should set up some variables for the script to run properly. Change the variables at your convenience, and then you can press \"Run all\" in the Jupyter Notebook. \n", "\n", "Brief explanation of the different variables:\n", "* __work_folder__: this variable is where the plots and the tsv files that the script creates will be stored. \n", "\n", "* __data_file__: this variable is where the csv files to be assessed are stored. \n", "* __info_file__: file that contains information about your walks, such as the chromosome, start and end of the steps. You need a columns that matches the 'timepoint' column in the csv files, to be able to show proper information. \n", "* __column_round__: the column that matches the 'timepoint' column in the csv files.\n", "* __column_name__: the column with the \"nice\" name for the steps. This will be used instead of the timepoint number. Use \"\" in case the information file does not have this column (in this case the name of the steps will be in the form of 'StepN' where N is an incremental number form 1 to the max number of steps).\n", "* __column_size__: the column for the size of the segment. Use \"\" in case the information file does not have this column (in this case the notebook will calculate the size automatically of the segments according to the start and end positions in the file).\n", "* __column_start_pos__: the column of the start position of the timepoint.\n", "* __column_end_pos__: the column of the start position of the timepoint.\n", "* __number_of_steps_library__: the number of steps in your library.\n", "* __starting_step__: the step at which analysis should start.\n", "* __prec_mean_dataset__: the worst precision of the three axes (usually the Z). This will be used as a blurring factor when creating the 3D maps to calculate the volumetric features.\n", "* __save_plots__: save the plots into a folder or show them in the notebook.\n", "* __file_suffix__: add a suffix to the different files created, in case you wish to save the results from different assessments in the same folder. It will be added as \"_suffix\" before the .tsv/.pdf\n", "\n", "The notebook will create a folder in the work_folder path called `4_distance_extraction`. Inside this folder 2 subfolders will be created, one for `tsvs` and one for `plots`. Inside each folder, a sub-subfolder with the suffix name will have the plots/tsvs for that experiment.\n", "\n", "
\n",
    "4_distance_extraction/\n",
    "|-- tsvs/\n",
    "|   |-- example_tsv_SUFFIX.tsv\n",
    "|-- plots/\n",
    "|   |-- example_plot_SUFFIX.pdf\n",
    "
\n", "\n", "[Back to the general index](#distance-extraction)" ] }, { "cell_type": "code", "execution_count": 57, "id": "025d3f46", "metadata": {}, "outputs": [], "source": [ "work_folder = \"/scratch/CIMA_tutorial/\"\n", "data_folder = \"/scratch/CIMA_tutorial/data/chr3\"\n", "\n", "info_file = \"/scratch/CIMA_tutorial/data/chr3/Info_chr3.txt\"\n", "\n", "column_round = \"Round\"\n", "column_name = \"Name\"\n", "column_size = \"Size(kb)\"\n", "column_chr = \"Chr\"\n", "column_start_pos = \"Start(hg19)\"\n", "column_end_pos = \"End(hg19)\"\n", "\n", "number_of_steps_library = 16\n", "starting_step = 6\n", "\n", "prec_mean_dataset = 30\n", "\n", "save_plots = False\n", "\n", "file_suffix = \"chr3\"" ] }, { "cell_type": "code", "execution_count": 58, "id": "82af39ff", "metadata": {}, "outputs": [], "source": [ "work_folder = Path(work_folder)\n", "data_folder = Path(data_folder)\n", "pre_assessment_folder = Path(work_folder, \"2_experimental_quality_assessment\")\n", "reconstruction_tsv_folder = Path(work_folder, \"3_3D_reconstruction_assessment\", \"tsvs\", file_suffix)\n", "\n", "info_df = pd.read_table(Path(info_file), sep=\"\\t\")\n", "info_df.columns = info_df.columns.str.strip() # In case there are leading or trailing spaces in the column names\n", "\n", "info_file_dict = {\n", " \"column_round\": column_round,\n", " \"column_name\": column_name,\n", " \"column_size\": column_size,\n", " \"column_chr\": column_chr,\n", " \"column_start_pos\": column_start_pos,\n", " \"column_end_pos\": column_end_pos,\n", "}\n", "\n", "del column_round, column_name, column_size, column_chr, column_start_pos, column_end_pos, info_file" ] }, { "cell_type": "markdown", "id": "137d1fd0", "metadata": {}, "source": [ "## Exporting the data with CIMA" ] }, { "cell_type": "markdown", "id": "22012cbd", "metadata": {}, "source": [ "Content:\n", "- [Creating the list of CIMA StructuralObject](#creating-the-list-of-cima-structuralobjects)\n", "- [Checking the information file](#checking-the-information-file)\n", "- [Creating a color palette and the results folders](#creating-a-color-palette-and-the-results-folders-for-the-tsv-and-plot-files)\n", "\n", "[Back to the general index](#distance-extraction)" ] }, { "cell_type": "markdown", "id": "7edca27a", "metadata": {}, "source": [ "### Creating the list of CIMA StructuralObjects" ] }, { "cell_type": "markdown", "id": "61dc37a1", "metadata": {}, "source": [ "In this cell we create a list of StructuralObjects (the main CIMA class type). \n", "This list is the basis to do the assessment through this Jupyter Notebook. \n", "\n", "When loading the data, we will also take out those traces or CS that did not pass the assessment in the previous notebooks. \n", " \n", "When reading the file, it will also add some metadata gathered from the filename of the csv file:\n", "\n", "\n", "[Back to the section index](#exporting-the-data-with-cima)" ] }, { "cell_type": "code", "execution_count": 59, "id": "23c69342", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total number of files found: 33\n", "Loading the experimental quality data from the CSV files\n", "Loading the bad flags from the CSV files\n", "\tCreating the 'flag' column for reconstruction-based removal\n", "Skipping file 2: 2018-07-10_nuc04_A_chr3 because it did not pass the experimental quality assessment.\n", "Skipping file 5: 2018-07-10_nuc03_A_chr3 because it did not pass the experimental quality assessment.\n", "\tExcluding timepoint 19 in experimentID: 2018-09-04, nucleusID: 7, homolog: A because it has less than 10 points.\n", "Skipping file 26: 2018-09-04_nuc01_A_chr3 because it did not pass the experimental quality assessment.\n", "Processing file 33: 2018-09-04_nuc06_A_chr3\n", "Total number of objects created: 30\n" ] } ], "source": [ "# Get a list of all CSV files in the specified data folder\n", "csv_files = list(data_folder.glob(\"*.csv\"))\n", "\n", "if len(csv_files) == 0:\n", " print(\"No files found, please input the correct work_folder\")\n", "else:\n", " print(f\"Total number of files found: {len(csv_files)}\")\n", "\n", "print(\"Loading the experimental quality data from the CSV files\")\n", "traces_pass = pd.read_csv(Path(pre_assessment_folder, f\"experimental_assessment_pass_{file_suffix}.txt\"), sep=\"\\t\", names=[\"trace\"])\n", "\n", "print(\"Loading the bad flags from the CSV files\")\n", "segments_to_remove_CCC = pd.read_csv(\n", " Path(reconstruction_tsv_folder, f\"segments2remove_bycccvariation_t2{('_' + file_suffix) if file_suffix != '' else ''}.tsv\"), sep=\"\\t\"\n", ")\n", "if \"flag\" not in segments_to_remove_CCC.columns and not segments_to_remove_CCC.empty:\n", " print(\"\\tCreating the 'flag' column for reconstruction-based removal\")\n", " segments_to_remove_CCC[\"flag\"] = segments_to_remove_CCC[[\"experimentID\", \"nucleusID\", \"homolog\", \"timepoint\"]].astype(str).apply(\"_\".join, axis=1)\n", " bad_flags = set(segments_to_remove_CCC[\"flag\"].astype(str).values)\n", "elif not segments_to_remove_CCC.empty:\n", " bad_flags = set(segments_to_remove_CCC[\"flag\"].astype(str).values)\n", "else:\n", " bad_flags = set()\n", "\n", "# Get a list of metadata keys to extract from filenames\n", "metadata_keys = [\"nucleusID\", \"cellID\", \"locationID\", \"date\", \"homolog\", \"chromosome\"]\n", "\n", "# Initialize an empty list to store the StructuralObject instances\n", "obj_list = []\n", "\n", "if len(csv_files) > 0:\n", " # Iterate over each file in the list of file names\n", " for count, filein in enumerate(csv_files, start=1):\n", " stem = Path(filein).stem\n", "\n", " if stem not in traces_pass[\"trace\"].values:\n", " print(f\"Skipping file {count}: {stem} because it did not pass the experimental quality assessment.\")\n", " continue\n", "\n", " print(f\"Processing file {count}: {stem}\", end=\"\\r\")\n", "\n", " # We mine the metadata from the filename using regex patterns. If not possible, assign default values.\n", " # In the case of nucleus, cell and location, the default is the filecount (first file read will be number 1, ...)\n", " # In the case of date, if no date can be found, the filename gets used.\n", " # If no valid homolog denomination is found, the default value is A.\n", " # If no valid chromosome denomination is found, the default value is chrN.\n", " metadata_CIMA = {\n", " key: (match.group(1) if (match := regex_patterns[key].search(stem)) else default)\n", " for key, default in zip(metadata_keys, [count, count, count, stem, \"A\", \"chrN\"])\n", " }\n", "\n", " # Adjust the metadata for nucleus and cell (if nucleus is count, but cell is something, use the cell match in nucleus)\n", " if \"cellID\" in metadata_CIMA and metadata_CIMA[\"nucleusID\"] == count:\n", " metadata_CIMA[\"nucleusID\"] = metadata_CIMA[\"cellID\"]\n", "\n", " # Set experimentID as date for consistency\n", " metadata_CIMA[\"experimentID\"] = metadata_CIMA[\"date\"]\n", "\n", " # Read the CSV file and create a StructuralObject instance\n", " objin = CSVParser.read_CSV_file(filein.as_posix(), metadata=metadata_CIMA, content_type=\"srx\")\n", "\n", " # Filter the atomList to include only the specified timepoints in the info file\n", " objin.atomList = objin.atomList[\n", " (objin.atomList[\"timepoint\"] >= starting_step - 1) & (objin.atomList[\"timepoint\"] < (starting_step + number_of_steps_library - 1))\n", " ].copy()\n", "\n", " experiment_id = objin.metadata[\"experimentID\"]\n", " nucleus_id = int(objin.metadata[\"nucleusID\"])\n", " homolog = objin.metadata[\"homolog\"]\n", "\n", " full_flags = experiment_id + \"_\" + str(nucleus_id) + \"_\" + homolog + \"_\" + objin.atomList[\"timepoint\"].astype(str)\n", " remove_mask = full_flags.isin(bad_flags)\n", "\n", " if remove_mask.any():\n", " removed_tps = objin.atomList.loc[remove_mask, \"timepoint\"].unique()\n", " # removed_tps = \",\".join([tp_names[tp] for tp in removed_tps])\n", " # print(f\"Excluding timepoints {removed_tps} in experimentID: {experiment_id}, nucleusID: {nucleus_id}, homolog: {homolog} due to poor assessment.\")\n", " objin.atomList = objin.atomList.loc[~remove_mask].copy()\n", "\n", " for tp in objin.atomList[\"timepoint\"].unique():\n", " # Take out the timepoint from the atomList if it has less tha 10 points\n", " tp_mask = objin.atomList[\"timepoint\"] == tp\n", " if tp_mask.sum() < 10:\n", " print(\n", " f\"\\tExcluding timepoint {tp} in experimentID: {experiment_id}, nucleusID: {nucleus_id}, homolog: {homolog} because it has less than 10 points.\"\n", " )\n", " objin.atomList = objin.atomList.loc[~tp_mask].copy()\n", "\n", " # Append the object to the list\n", " obj_list.append(objin)\n", "\n", " # Nice print to tell the user the number of objects created.\n", " print(f\"\\nTotal number of objects created: {len(obj_list)}\")\n", "\n", " # Clean up memory by deleting some of the variables no longer needed\n", " del count, filein, stem, metadata_CIMA, match, objin\n", "\n", "del csv_files, metadata_keys\n", "del bad_flags\n", "del experiment_id, nucleus_id, homolog, full_flags, remove_mask\n", "if \"segments_to_remove_precision\" in locals():\n", " del segments_to_remove_CCC" ] }, { "cell_type": "markdown", "id": "c423346f", "metadata": {}, "source": [ "### Checking the information file" ] }, { "cell_type": "markdown", "id": "d00061de", "metadata": {}, "source": [ "This cells makes an adjustment in the info_df. \n", "\n", "It checks if the column of the info_df that we will use as the link between this data frame and our walks has the same timepoints. This happens because most programs start with timepoint 0, while most information files start at timepoint 1. \n", "\n", "This will create a new column in the dataframe that is called 'timepoint'. This column will be modified so it has the same range as the timepoint column from the csv files.\n", "\n", "[Back to the section index](#exporting-the-data-with-cima)" ] }, { "cell_type": "code", "execution_count": 60, "id": "c8d9643c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "List of timepoints found across all objects: [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]\n", "List of timepoints in the information file: [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]\n", "\n", "Note: The column for the information file that has the timepoint is offset by 1 compared to the objects, adjusting accordingly.\n" ] } ], "source": [ "list_of_timepoints = sorted({int(tp) for obj in obj_list for tp in obj.atomList.timepoint.unique()})\n", "info_of_timepoints = list(map(int, info_df[info_file_dict[\"column_round\"]].tolist()))\n", "\n", "print(f\"List of timepoints found across all objects: {list_of_timepoints}\")\n", "print(f\"List of timepoints in the information file: {info_of_timepoints}\\n\")\n", "\n", "if list_of_timepoints == info_of_timepoints:\n", " print(\"The timepoints found in the objects match those in the information file.\")\n", " info_df[\"timepoint\"] = info_df[info_file_dict[\"column_round\"]]\n", "elif set(list_of_timepoints).issubset(info_of_timepoints):\n", " print(\"Note: The timepoints found in the objects are a subset of those in the information file. Not all timepoints are present.\")\n", " info_df[\"timepoint\"] = info_df[info_file_dict[\"column_round\"]]\n", "elif list_of_timepoints == [x - 1 for x in info_of_timepoints]:\n", " print(\"Note: The column for the information file that has the timepoint is offset by 1 compared to the objects, adjusting accordingly.\")\n", " info_df[\"timepoint\"] = info_df[info_file_dict[\"column_round\"]] - 1\n", "elif set(list_of_timepoints).issubset({x - 1 for x in info_of_timepoints}):\n", " print(\n", " \"Note: The timepoints found in the objects are a subset of those in the information file, which are offset by 1 compared to the objects. Adjusting accordingly.\"\n", " )\n", " info_df[\"timepoint\"] = info_df[info_file_dict[\"column_round\"]] - 1\n", "else:\n", " print(\"Warning: The timepoints found in the objects do not match those in the information file.\")\n", "\n", "if info_file_dict[\"column_size\"] == \"\":\n", " print(\"Calculating size column from start and end positions...\")\n", " column_size = \"size\"\n", " info_file_dict[\"column_size\"] = column_size\n", " info_df[column_size] = info_df[info_file_dict[\"column_end_pos\"]] - info_df[info_file_dict[\"column_start_pos\"]]\n", "\n", "if info_file_dict[\"column_name\"] == \"\":\n", " print(\"Setting name column from round numbers...\")\n", " info_file_dict[\"column_name\"] = \"name\"\n", " info_df[\"name\"] = [f\"Step{i}\" for i in range(1, info_df.shape[0] + 1)]\n", "\n", "tp_names = info_df.set_index(\"timepoint\")[info_file_dict[\"column_name\"]].to_dict()\n", "\n", "del list_of_timepoints, info_of_timepoints" ] }, { "cell_type": "markdown", "id": "9f9ca642", "metadata": {}, "source": [ "### Creating a color palette and the results folders for the tsv and plot files" ] }, { "cell_type": "markdown", "id": "0ead225c", "metadata": {}, "source": [ "Here we create a color palette automatically based on the different experiment ID found across the files. Experiment IDs are usually the date of the experiment. This allows to easily check for a possible batch effect.\n", "\n", "We also create the folders were to store the results.\n", "\n", "\n", "[Back to the section index](#exporting-the-data-with-cima)" ] }, { "cell_type": "code", "execution_count": 61, "id": "f342977e", "metadata": {}, "outputs": [], "source": [ "# Define the color palette for experiments. Use the date or the experimentID (date) as the key.\n", "# Get one unique experiment ID/date per experiment.\n", "experiment_ids = sorted({obj.metadata[\"experimentID\"] for obj in obj_list})\n", "\n", "# Create one color for each experiment.\n", "experiment_colors = sns.color_palette(\"tab10\", n_colors=len(experiment_ids))\n", "\n", "# Match each experiment ID/date to one color.\n", "color_palette = dict(zip(experiment_ids, experiment_colors))\n", "\n", "del experiment_ids, experiment_colors\n", "\n", "# This palette is fixed for the current experiments used in the tutorial, which aim to reproduce the figures in the CIMA paper.\n", "color_palette = {\"2018-01-11\": \"#a6cee3\", \"2018-06-28\": \"#1f78b4\", \"2018-07-10\": \"#b2df8a\", \"2018-09-04\": \"#33a02c\"}\n", "\n", "# Create the folders to save the results. If the folders already exist, do not raise an error.\n", "tsv_folder = Path(work_folder, \"4_distance_extraction\", \"tsvs\", file_suffix)\n", "tsv_folder.mkdir(parents=True, exist_ok=True)\n", "\n", "plots_folder = Path(work_folder, \"4_distance_extraction\", \"plots\", file_suffix)\n", "plots_folder.mkdir(parents=True, exist_ok=True)" ] }, { "cell_type": "markdown", "id": "edc97d89", "metadata": {}, "source": [ "## Spatial feature intra-walk" ] }, { "cell_type": "markdown", "id": "4e70ea93", "metadata": {}, "source": [ "Content:\n", "\n", "- [Spatial feautre intra-walk calculation](#spatial-feature-intra-walk-calculations)\n", "- [Boxenplots for the different distances calculated](#boxenplots-for-the-coms-distance-surface-distance-and-entanglement-between-the-different-segments-of-the-same-walk)\n", "- [Mean, variation and RMSD matrices calculation for the different distances](#mean-variation-and-rmsd-matrices-calculation)\n", "- [Plot the variation matrices for the different distances](#plot-the-variation-matrices-for-each-spatial-feature-analysed)\n", "\n", "[Back to the general index](#distance-extraction)" ] }, { "cell_type": "markdown", "id": "ba4c37a4", "metadata": {}, "source": [ "### Spatial feature intra-walk calculations" ] }, { "cell_type": "markdown", "id": "a1078f8d", "metadata": {}, "source": [ "Here we will calculate the COM distance, surface distance and entanglement for every pair of segments for every walk. \n", "\n", "If this has already been calculated and saved into a file called \"spatial_features_SUFFIX.tsv\", the file will be loaded. \n", "\n", "If the file is not located, then the notebook will perform the calculations and store that data in the file.\n", "\n", "[Back to the section index](#spatial-feature-intra-walk)" ] }, { "cell_type": "code", "execution_count": 62, "id": "81837c22", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Trying to read pre-calculated spatial features by pairs from TSV file...\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Pre-calculated spatial features by pairs loaded from TSV file.\n" ] }, { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "int64", "type": "integer" }, { "name": "experimentID", "rawType": "string", "type": "string" }, { "name": "nucleusID", "rawType": "string", "type": "string" }, { "name": "chromosome", "rawType": "string", "type": "string" }, { "name": "homolog", "rawType": "string", "type": "string" }, { "name": "flag", "rawType": "string", "type": "string" }, { "name": "segment1", "rawType": "int16", "type": "integer" }, { "name": "segment1_timepoint", "rawType": "int16", "type": "integer" }, { "name": "segment1_name", "rawType": "string", "type": "string" }, { "name": "flag_seg1", "rawType": "string", "type": "string" }, { "name": "segment2", "rawType": "int16", "type": "integer" }, { "name": "segment2_timepoint", "rawType": "int16", "type": "integer" }, { "name": "segment2_name", "rawType": "string", "type": "string" }, { "name": "flag_seg2", "rawType": "string", "type": "string" }, { "name": "coms_distance", "rawType": "float32", "type": "float" }, { "name": "surface_distance", "rawType": "float32", "type": "float" }, { "name": "entanglement", "rawType": "float32", "type": "float" } ], "ref": "2f4fad65-046d-4664-875f-f3c741986b85", "rows": [ [ "0", "2018-09-04", "3", "chr3", "A", "2018-09-04_3_A", "1", "6", "Step2", "2018-09-04_3_A_6.0", "1", "6", "Step2", "2018-09-04_3_A_6.0", "0.0", "0.0", "1.0" ], [ "1", "2018-09-04", "3", "chr3", "A", "2018-09-04_3_A", "1", "6", "Step2", "2018-09-04_3_A_6.0", "2", "7", "Step3", "2018-09-04_3_A_7.0", "648.6813", "439.3605", "0.0" ], [ "2", "2018-09-04", "3", "chr3", "A", "2018-09-04_3_A", "1", "6", "Step2", "2018-09-04_3_A_6.0", "3", "8", "Step4", "2018-09-04_3_A_8.0", "893.30865", "634.3174", "0.0" ], [ "3", "2018-09-04", "3", "chr3", "A", "2018-09-04_3_A", "1", "6", "Step2", "2018-09-04_3_A_6.0", "4", "9", "Step5", "2018-09-04_3_A_9.0", "773.69055", "373.37744", "0.0" ], [ "4", "2018-09-04", "3", "chr3", "A", "2018-09-04_3_A", "1", "6", "Step2", "2018-09-04_3_A_6.0", "5", "11", "Step7", "2018-09-04_3_A_11.0", "1190.2557", "982.18774", "0.0" ] ], "shape": { "columns": 16, "rows": 5 } }, "text/html": [ "
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" ], "text/plain": [ " experimentID nucleusID chromosome homolog flag segment1 \\\n", "0 2018-09-04 3 chr3 A 2018-09-04_3_A 1 \n", "1 2018-09-04 3 chr3 A 2018-09-04_3_A 1 \n", "2 2018-09-04 3 chr3 A 2018-09-04_3_A 1 \n", "3 2018-09-04 3 chr3 A 2018-09-04_3_A 1 \n", "4 2018-09-04 3 chr3 A 2018-09-04_3_A 1 \n", "\n", " segment1_timepoint segment1_name flag_seg1 segment2 \\\n", "0 6 Step2 2018-09-04_3_A_6.0 1 \n", "1 6 Step2 2018-09-04_3_A_6.0 2 \n", "2 6 Step2 2018-09-04_3_A_6.0 3 \n", "3 6 Step2 2018-09-04_3_A_6.0 4 \n", "4 6 Step2 2018-09-04_3_A_6.0 5 \n", "\n", " segment2_timepoint segment2_name flag_seg2 coms_distance \\\n", "0 6 Step2 2018-09-04_3_A_6.0 0.000000 \n", "1 7 Step3 2018-09-04_3_A_7.0 648.681274 \n", "2 8 Step4 2018-09-04_3_A_8.0 893.308655 \n", "3 9 Step5 2018-09-04_3_A_9.0 773.690552 \n", "4 11 Step7 2018-09-04_3_A_11.0 1190.255737 \n", "\n", " surface_distance entanglement \n", "0 0.000000 1.0 \n", "1 439.360504 0.0 \n", "2 634.317383 0.0 \n", "3 373.377441 0.0 \n", "4 982.187744 0.0 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "last_cols = [\n", " \"segment1\",\n", " \"segment1_timepoint\",\n", " \"segment1_name\",\n", " \"flag_seg1\",\n", " \"segment2\",\n", " \"segment2_timepoint\",\n", " \"segment2_name\",\n", " \"flag_seg2\",\n", " \"coms_distance\",\n", " \"surface_distance\",\n", " \"entanglement\",\n", "]\n", "\n", "spatial_tsv_filename = f\"spatial_features_{prec_mean_dataset}{('_' + file_suffix if file_suffix != '' else '')}.tsv\"\n", "\n", "try:\n", " print(\"Trying to read pre-calculated spatial features by pairs from TSV file...\")\n", " dataframe_spatialfeatures = pd.read_csv(Path(tsv_folder, spatial_tsv_filename), sep=\"\\t\")\n", " dataframe_spatialfeatures[\"flag\"] = dataframe_spatialfeatures[[\"experimentID\", \"nucleusID\", \"homolog\"]].astype(str).apply(\"_\".join, axis=1)\n", " dataframe_spatialfeatures[\"flag_seg1\"] = (\n", " dataframe_spatialfeatures[[\"experimentID\", \"nucleusID\", \"homolog\", \"segment1_timepoint\"]].astype(str).apply(\"_\".join, axis=1)\n", " )\n", " dataframe_spatialfeatures[\"flag_seg2\"] = (\n", " dataframe_spatialfeatures[[\"experimentID\", \"nucleusID\", \"homolog\", \"segment2_timepoint\"]].astype(str).apply(\"_\".join, axis=1)\n", " )\n", "\n", " print(\"Pre-calculated spatial features by pairs loaded from TSV file.\")\n", "\n", "except FileNotFoundError:\n", " print(\"Pre-calculated TSV file not found. Calculating spatial features by pairs from scratch...\")\n", "\n", " df_list = []\n", "\n", " for file_counter, obj_in in enumerate(obj_list, start=1):\n", " print(f\"Processing contact matrix for file {file_counter}/{len(obj_list)}: {Path(obj_in.metadata['filename']).stem}\")\n", "\n", " list_CS = obj_in.split_into_time(return_list=True)\n", "\n", " temp_df = getSpatialFeaturesIntraWalk(list_CS, prec_mean=prec_mean_dataset, n_jobs=8, verbose=False)\n", "\n", " temp_df[\"segment1_name\"] = [tp_names[tp] for tp in temp_df[\"segment1_timepoint\"]]\n", " temp_df[\"segment2_name\"] = [tp_names[tp] for tp in temp_df[\"segment2_timepoint\"]]\n", " temp_df[\"experimentID\"] = obj_in.metadata[\"experimentID\"]\n", " temp_df[\"nucleusID\"] = obj_in.metadata[\"nucleusID\"]\n", " temp_df[\"homolog\"] = obj_in.metadata[\"homolog\"]\n", " temp_df[\"chromosome\"] = obj_in.metadata[\"chromosome\"]\n", "\n", " temp_df[\"flag\"] = temp_df[[\"experimentID\", \"nucleusID\", \"homolog\"]].astype(str).apply(\"_\".join, axis=1)\n", " temp_df[\"flag_seg1\"] = temp_df[[\"experimentID\", \"nucleusID\", \"homolog\", \"segment1_timepoint\"]].astype(str).apply(\"_\".join, axis=1)\n", " temp_df[\"flag_seg2\"] = temp_df[[\"experimentID\", \"nucleusID\", \"homolog\", \"segment2_timepoint\"]].astype(str).apply(\"_\".join, axis=1)\n", "\n", " df_list.append(temp_df)\n", "\n", " mat = convertToMatrix(pairs_features_df=temp_df, value=\"coms_distance\", cluss=np.array(info_df.timepoint.tolist()))\n", "\n", " mat = mat.astype(np.float64)\n", "\n", " x_labels = info_df.set_index(\"timepoint\").loc[mat.index.tolist()][\"Name\"].tolist()\n", " y_labels = info_df.set_index(\"timepoint\").loc[mat.columns.tolist()][\"Name\"].tolist()\n", "\n", " sns.heatmap(mat, cmap=\"Reds_r\", square=True, vmin=50.0, vmax=1500, xticklabels=x_labels, yticklabels=y_labels)\n", "\n", " plt.xlabel(\"Segment name\")\n", " plt.xticks(rotation=45, ha=\"right\")\n", " plt.ylabel(\"Segment name\")\n", " plt.title(f\"COMs distance for {Path(obj_in.metadata['filename']).stem}\")\n", " if save_plots:\n", " filename = (\n", " f\"com_distance_{prec_mean_dataset}_{Path(obj_in.metadata['filename']).stem}\"\n", " + (f\"_{file_suffix}\" if file_suffix != \"\" else \"\")\n", " + \".pdf\"\n", " )\n", " plot_filename = Path(plots_folder, filename)\n", " print(f\"\\tSaving plots to: {plot_filename}\")\n", " plt.savefig(plot_filename, **plot_opts)\n", " del filename, plot_filename\n", " else:\n", " plt.show()\n", " plt.close()\n", "\n", " # Concatenate all the dataframes.\n", " dataframe_spatialfeatures = pd.concat(df_list, ignore_index=True)\n", "\n", " # Reorder the columns, so the table looks nicer and it is easier to manually search for entries.\n", " cols = dataframe_spatialfeatures.columns.tolist()\n", " cols_reorder = [col for col in first_cols if col in cols] + last_cols\n", " dataframe_spatialfeatures = dataframe_spatialfeatures[cols_reorder]\n", "\n", " print(\"Calculating spatial features by pairs... Done!\")\n", "\n", " # Save the dataframe to a TSV file\n", " print(f\"Saving spatial features by pairs to TSV file: {spatial_tsv_filename}...\", end=\"\\r\")\n", " dataframe_spatialfeatures.drop(columns=[\"flag\", \"flag_seg1\", \"flag_seg2\"]).to_csv(Path(tsv_folder, spatial_tsv_filename), sep=\"\\t\", index=None)\n", " print(f\"Saving spatial features by pairs to TSV file: {spatial_tsv_filename}... Done!\")\n", "\n", " del file_counter, obj_in, list_CS, temp_df, mat, x_labels, y_labels, df_list, cols, cols_reorder\n", "\n", "# Define the desired dtypes for specific columns.\n", "dataframe_spatialfeatures = dataframe_spatialfeatures.astype(get_dtype_dict(dataframe_spatialfeatures.columns.to_list(), dtype_dict))\n", "\n", "# Reorder the columns, so the table looks nicer and it is easier to manually search for entries.\n", "cols = dataframe_spatialfeatures.columns.tolist()\n", "cols_reorder = [col for col in first_cols if col in cols] + last_cols\n", "dataframe_spatialfeatures = dataframe_spatialfeatures[cols_reorder]\n", "\n", "display(dataframe_spatialfeatures.head())\n", "\n", "del last_cols, spatial_tsv_filename, cols, cols_reorder" ] }, { "cell_type": "markdown", "id": "e33841f0", "metadata": {}, "source": [ "### Power law scaling" ] }, { "cell_type": "code", "execution_count": 66, "id": "b9a5b146", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Median slope: 0.33\n", "MAD slope: 0.18\n", "STD slope: 0.17\n", "Minimnum slope: 0.12\n", "Maximum slope: 0.72\n" ] } ], "source": [ "dataframe_spatialfeatures[\"gen_dist\"] = info_df[\"Size(kb)\"].unique().tolist()[0] * (\n", " np.abs(dataframe_spatialfeatures.segment1 - dataframe_spatialfeatures.segment2)\n", ")\n", "\n", "exps = {}\n", "for f, subdf in dataframe_spatialfeatures.groupby(\"flag\"):\n", " arr1 = subdf[\"gen_dist\"].values\n", " arr2 = subdf[\"coms_distance\"].values\n", " _, slope = getLogCorrAndExp(arr1, arr2)\n", " exps[f] = slope\n", "\n", "vals = np.array(list(exps.values()), dtype=float)\n", "vals = vals[np.isfinite(vals)]\n", "\n", "# Stats\n", "median_val = np.nanmedian(vals)\n", "mad_val = stats.median_abs_deviation(vals, scale=\"normal\", nan_policy=\"omit\")\n", "\n", "print(f\"Median slope: {median_val:.2f}\")\n", "print(f\"MAD slope: {mad_val:.2f}\")\n", "print(f\"STD slope: {np.nanstd(vals):.2f}\")\n", "print(f\"Minimnum slope: {np.nanmin(vals):.2f}\")\n", "print(f\"Maximum slope: {np.nanmax(vals):.2f}\")" ] }, { "cell_type": "code", "execution_count": null, "id": "0e03da5a", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(6, 5))\n", "\n", "# individual traces\n", "sns.lineplot(\n", " data=dataframe_spatialfeatures,\n", " x=\"gen_dist\",\n", " y=\"coms_distance\",\n", " hue=\"flag\",\n", " palette=\"Greens\",\n", " errorbar=None,\n", " alpha=0.5,\n", " linewidth=0.8,\n", " ax=ax,\n", " legend=False,\n", ")\n", "\n", "sns.lineplot(data=dataframe_spatialfeatures, x=\"gen_dist\", y=\"coms_distance\", estimator=\"median\", color=\"black\", linewidth=1.5, errorbar=None, ax=ax)\n", "\n", "ax.set_xlabel(\"Genomic distance (kb)\")\n", "ax.set_ylabel(\"3D distance (nm)\")\n", "\n", "ax.text(0.05, 0.95, f\"α = {np.median(list(exps.values())):.2f}\", transform=ax.transAxes, ha=\"left\", va=\"top\")\n", "\n", "sns.despine()\n", "plt.tight_layout()\n", "\n", "if save_plots:\n", " filename = \"power_law_plot\" + (f\"_{file_suffix}\" if file_suffix != \"\" else \"\") + \".pdf\"\n", " plot_filename = Path(plots_folder, filename)\n", " print(f\"Saving plots to: {plot_filename}\")\n", " plt.savefig(plot_filename, **plot_opts)\n", " del filename, plot_filename\n", "else:\n", " plt.show()\n", "plt.close()" ] }, { "cell_type": "code", "execution_count": 67, "id": "e20cba65", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(6, 5))\n", "\n", "kde = sns.kdeplot(vals, ax=ax, color=\"black\", linewidth=1.5)\n", "\n", "x, y = kde.lines[0].get_data()\n", "\n", "ax.fill_between(x, y, where=(x < 0.15), color=\"#818181FF\", alpha=0.3)\n", "ax.axvline(0.15, linestyle=\"--\", color=\"#818181FF\", linewidth=1)\n", "\n", "ax.fill_between(x, y, where=(x > 0.5), color=\"#484949\", alpha=0.4)\n", "ax.axvline(0.5, linestyle=\"--\", color=\"#484949\", linewidth=1)\n", "\n", "ax.set_xlabel(r\"Scaling exponent $\\alpha$\")\n", "ax.set_ylabel(\"Density\")\n", "\n", "sns.despine()\n", "plt.tight_layout()\n", "\n", "if save_plots:\n", " filename = \"power_law_exponents_kdeplot\" + (f\"_{file_suffix}\" if file_suffix != \"\" else \"\") + \".pdf\"\n", " plot_filename = Path(plots_folder, filename)\n", " print(f\"Saving plots to: {plot_filename}\")\n", " plt.savefig(plot_filename, **plot_opts)\n", " del filename, plot_filename\n", "else:\n", " plt.show()\n", "plt.close()" ] }, { "cell_type": "markdown", "id": "c511b9b5", "metadata": {}, "source": [ "### Boxenplots for the COMs distance, surface distance and entanglement between the different segments of the same walk" ] }, { "cell_type": "markdown", "id": "1dff9558", "metadata": {}, "source": [ "Boxenplots to show the distribution of the different

\n", "[Back to the section index](#spatial-feature-intra-walk)" ] }, { "cell_type": "code", "execution_count": 68, "id": "968530fa", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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ffdVo/QICAmBvby+u3+7du6HT6TBu3Dij50+YMKHU9sPCwowOPbRp0waCICAsLEwsUyqVePnll40+a8rbpyKNGjUSR/eAhyNRDRo0eOLnV3mMHz9e/LvokEhBQQESExPF8oq8R0oyevRocdSkiJOTE44ePYobN248dd8lD9mcnByjQHvcwIED0a5dO4waNQru7u4YNGgQNmzYUKHArVGjRoVOcqpfv77RtEKhQL169WQ/jfzatWvw8vIq9noUDY9cu3bNqPzRD+8izs7OxY5/lNRO/fr1i50xV1o75aVWqzFjxgycP38eN27cwI8//oi2bduKQ71Py9fXt0L1v/32WzRt2lQ8lunq6ort27cjOztbrHP58mV4eXnBxcWl1OVcvHgRgiCgfv36cHV1NXqcP38eN2/eLPW5t27dQl5eXrFtCQAaNGjwxHWYNWsWsrKy8NJLL8Hf3x9Tp05FSkrKE59XJDY2Fm3btoW1tTVcXFzg6uqKlStXGr0GRZ60Hd26dQtarRZNmjQps82LFy8iLi6u2GsVFBQEAGW+XkXb3OOvjUqlQp06dYy2yYEDByIvLw+//vorgIefITt27MCbb74phkPRl5OuXbsW6098fHyxvlhaWorH1Z4kLy8PM2fOFI87V69eHa6ursjKyirx9a2oTp06oX///oiJiUH16tXx2muvYfXq1cjPzxfrXLx4EdnZ2XBzcyu2fjk5OeL6Fb1u9erVM2rDxcUFzs7OJbb/+Pag0WgAAN7e3sXKH/2sKW+fSmsHKN/n15NYWFigTp06RmUvvfQSABh9hlfkPVKSkj6XFixYgDNnzsDb2xutW7dGdHR0hb80SHpM9vr168jOzi62ATzKxsYGBw4cwN69e7F9+3bExcVh/fr16Nq1K+Lj44t9kyhtGVIr7YYZer2+XH2SQmntCI8d4DcFT09PDBo0CP3790fjxo2xYcMGrFmzBpaWlmW+diWpyP/f999/jxEjRqBfv36YOnUq3NzcoFQqMX/+fPHkrPIyGAxQKBTYuXNnia+1vb19hZZXER07dsTly5exdetWxMfH46uvvsKnn36KVatWYdSoUWU+9+DBg+jbty86duyIFStWwNPTE1ZWVli9ejV++OGHYvWl2o4MBgNeffVVvPPOOyXOL/qge1Zt27ZF7dq1sWHDBgwZMgTbtm1DXl4eBg4caNQX4OFxWQ8Pj2LLePycAbVaXe7LNCZMmIDVq1dj0qRJCAwMhEajgUKhwKBBgyS5JK/ohjhHjhzBtm3bsGvXLrz99tv45JNPcOTIEdjb28NgMMDNzQ3r1q0rcRmlnTtRHqVtDyWVP7qNVLRPpvz8quh7pCQlfS4NGDAAHTp0wC+//IL4+HgsXLgQH330ETZv3oyQkJByLVfSkC06YeNJw2cWFhbo1q0bunXrhkWLFmHevHmYMWMG9u7di6CgIMnvEPX4EJ0gCLh06ZLR9bzOzs4lDoFeu3bN6FtURfrm4+ODxMRE3Lt3z2hvtuhGDkUnFz0rHx8fpKSkwGAwGH2wSN0O8HAYumnTprh48aI41FrWa/esNm3ahDp16mDz5s1Gr/3jw8J169bFrl27cOfOnVL3ZuvWrQtBEODr61vhgHB1dYWNjU2Jw72pqanlWoaLiwtGjhyJkSNHIicnBx07dkR0dLQYsqVtWz///DOsra2xa9cuo8sPVq9eXaF1KOLq6gpHR0ecOXOmzHp169ZFTk6OuOdaEUXbXGpqqtH7p6CgAFeuXCm2zAEDBmDJkiXQarVYv349ateujbZt2xr1BQDc3Nyeqj9l2bRpE0JDQ/HJJ5+IZQ8ePJDsMrUibdu2Rdu2bTF37lz88MMPGDp0KH766SeMGjUKdevWRWJiItq1a1fml9Ci1/XSpUtGe163b99+5j3Gx5W3TxXxNJ/tBoMBf/75p9F79n//+x8AiCe7Sf0eeZSnpyfGjRuHcePG4ebNm2jZsiXmzp1b7pCVbLh4z549mD17Nnx9fcs8Xf7OnTvFyorOEC0aPim6PkmqjXzt2rVGx4k3bdqE9PR0oxepbt26OHLkiNHlC7GxscUu7ahI33r27Am9Xo9ly5YZlX/66adQKBTl/k8qTzsZGRlYv369WKbT6fDZZ5/B3t4enTp1qvAyL168iLS0tGLlWVlZSEpKgrOzs/hNtm7dusjOzjYa/kxPT8cvv/zyFGtjrOjb8aPfho8ePYqkpCSjev3794cgCIiJiSm2jKLnvv7661AqlYiJiSn27VoQBNy+fbvMfgQHB2PLli1Gr8v58+exa9euJ67H48u2t7dHvXr1jIYMS9u2lEolFAqF0cjA1atXsWXLlie2WxILCwv069cP27ZtK3Z5E/B/r9eAAQOQlJRU4vplZWVBp9OV2kZQUBBUKhWWLl1q9Fp//fXXyM7OLna258CBA5Gfn49vv/0WcXFxGDBggNH84OBgODo6Yt68eSUe17x161bZK10GpVJZbHv47LPPSh2Jqai7d+8WW/7jn3kDBgyAXq/H7Nmziz1fp9OJ20S3bt1gaWmJlStXGtV5/DNGCuXtU0U87Wf7o+snCAKWLVsGKysrdOvWDYD07xHg4Ujc40PNbm5u8PLyMnrfPslT7cnu3LkTFy5cgE6nQ2ZmJvbs2YOEhAT4+Pjg119/hbW1danPnTVrFg4cOIBevXrBx8cHN2/exIoVK1CzZk3xJIe6devCyckJq1atgoODA+zs7NCmTZsKH8sr4uLigvbt22PkyJHIzMzE4sWLUa9ePaPLjEaNGoVNmzahR48eGDBgAC5fvozvv//e6ASSivatT58+6NKlC2bMmIGrV6+iWbNmiI+Px9atWzFp0qRiy35a4eHh+PzzzzFixAicOHECtWvXxqZNm/Dbb79h8eLFZR4jL82pU6cwZMgQhISEoEOHDnBxccHff/+Nb7/9Fjdu3MDixYvFABw0aBCmTZuGf/3rX5g4caJ4acVLL730zCeO9O7dG5s3b8a//vUv9OrVC1euXMGqVavQqFEjoxNlunTpgmHDhmHp0qW4ePEievToAYPBgIMHD6JLly4YP3486tatizlz5iAqKgpXr15Fv3794ODggCtXruCXX35BeHg4/vvf/5bal5iYGMTFxaFDhw4YN26c+EWmcePGTzy+2qhRI3Tu3BkBAQFwcXHB8ePHxUsDigQEBAAAJk6ciODgYCiVSgwaNAi9evXCokWL0KNHDwwZMgQ3b97E8uXLUa9evQod133UvHnzEB8fj06dOiE8PBwNGzZEeno6Nm7ciEOHDsHJyQlTp07Fr7/+it69e4uXYty/fx+nT5/Gpk2bcPXqVVSvXr3E5bu6uiIqKgoxMTHo0aMH+vbti9TUVKxYsQKtWrXCW2+9ZVS/ZcuWqFevHmbMmIH8/HyjoWIAcHR0xMqVKzFs2DC0bNkSgwYNgqurK9LS0rB9+3a0a9fuqYOmd+/e+O6776DRaNCoUSMkJSUhMTGxzMvmKuLbb7/FihUr8K9//Qt169bFvXv38OWXX8LR0RE9e/YE8PC47ZgxYzB//nwkJyeje/fusLKywsWLF7Fx40YsWbIEb7zxBtzd3fGf//wHn3zyCfr27YsePXrg1KlT2LlzJ6pXry7pKGB5+1QRzZs3h1KpxEcffYTs7Gyo1Wp07doVbm5upT7H2toacXFxCA0NRZs2bbBz505s374d7777rvhFX473yL1791CzZk288cYbaNasGezt7ZGYmIhjx44ZjXo8UUVORS461bnooVKpBA8PD+HVV18VlixZYnSpSJHHL+PYvXu38NprrwleXl6CSqUSvLy8hMGDBxe7TGDr1q1Co0aNBEtLS6NLZjp16iQ0bty4xP6VdgnPjz/+KERFRQlubm6CjY2N0KtXrxIvRfnkk0+EGjVqCGq1WmjXrp1w/PjxYsssq28lnc5/7949YfLkyYKXl5dgZWUl1K9fX1i4cKHRKfWC8PDSi5JOFS/t0qLHZWZmCiNHjhSqV68uqFQqwd/fv8TLjMp7CU9mZqbw4YcfCp06dRI8PT0FS0tLwdnZWejatauwadOmYvXj4+OFJk2aCCqVSmjQoIHw/fffl3oJT2mnxJfUN4PBIMybN0/w8fER1Gq10KJFCyE2NrbE11qn0wkLFy4U/Pz8BJVKJbi6ugohISHCiRMnjOr9/PPPQvv27QU7OzvBzs5O8PPzEyIiIoTU1NQnvi779+8XAgICBJVKJdSpU0dYtWpViev5+P/bnDlzhNatWwtOTk6CjY2N4OfnJ8ydO1coKCgw6v+ECRMEV1dXQaFQGC3z66+/FurXry+o1WrBz89PWL16dYVe35K2o2vXrgnDhw8XXF1dBbVaLdSpU0eIiIgwumTq3r17QlRUlFCvXj1BpVIJ1atXF1555RXh448/Nup7aZYtWyb4+fkJVlZWgru7uzB27Fjh7t27JdadMWOGAECoV69eqcvbu3evEBwcLGg0GsHa2lqoW7euMGLECOH48eNindDQUMHOzu6JfSty9+5d8b1jb28vBAcHCxcuXCj2mj3tJTwnT54UBg8eLNSqVUtQq9WCm5ub0Lt3b6M+F/niiy+EgIAAwcbGRnBwcBD8/f2Fd955R7hx44ZYR6fTCe+//77g4eEh2NjYCF27dhXOnz8vVKtWzeiynNIuuSzabh6/jLK01608fSrtc6Wkz88vv/xSqFOnjnjpW1mX8xT16fLly0L37t0FW1tbwd3dXfjggw+MLg0ThPK/R0q7hOfx1yk/P1+YOnWq0KxZM8HBwUGws7MTmjVrJqxYsaLU/pZEIQhmcFYNERE9taysLDg7O2POnDmYMWOGqbsjmREjRmDTpk1Go1aVDX9PloioEsnLyytWVnT3rZJuK0umJe+d+4mISFLr16/HmjVr0LNnT9jb2+PQoUP48ccf0b179xLvNU6mxZAlIqpEmjZtCktLSyxYsABarVY8GWrOnDmm7hqVgMdkiYiIZMJjskRERDJhyBIREcmEISsBQRCg1WrN4h7DRERkPhiyErh37x40Gk2ZP/FHREQvHoYsERGRTBiyREREMmHIEhERyYQhS0REJBOGLBERkUwYskRERDJhyBIREcmEIUtERCQThiwREZFMGLJEREQyYcgSERHJhCFLREQkE4YsERGRTBiyREREMmHIEhERyYQhS1SJGAwGCIJg6m4QUTlZmroDRPRkqampSExMxNWrV2FhYQF/f390794dbm5upu4aEZWBe7JEZi45ORlfffUVBEFAv379EBwcjGvXruGzzz7DzZs3Td09IioDQ5bIjOn1evz6669o0qQJxo0bh3bt2qFr166IjIyEjY0N4uPjTd1FIioDQ5bIjF27dg1arRZdunSBhcX/vV1tbGwQGBiI06dPw2AwmLCHRFQWhiyRGdPpdAAehurjbGxsoNfreSIUkRljyBKZsZo1a8LKygonT54EADx48ACFhYUQBAEnT56Ej48PlEqliXtJRKXh2cVEZszW1hbt2rVDYmIijhw5gnv37gEAHB0dodVq8fbbb5u4h0RUFu7JEpk5V1dXCIKAnJwcsSwnJweWlpZwdnY2Yc+I6Em4J0tkxnQ6HXbu3ImWLVvitddew19//QVLS0t4enris88+Q3x8PEJDQ03dTSIqBUOWyIxdu3YNOTk56NixI+zs7ODn5yfOa9u2LXbs2AGDwWB05jERmQ++M4nMmF6vBwCoVKpi81QqFW+zSGTmGLJEZqxWrVpQqVQ4fvy4UbnBYMCJEydQp04dnl1MZMY4XExkxqytrdGpUyckJCQgJSUF9+/fh4WFBdRqNe7cuYPw8HBTd5GIysCQJTJztWrVgkKhwO3bt8Wh4dzcXNja2sLV1dXEvSOisjBkicyYwWDAL7/8gvr16+Ott95CZmYmLC0t4eDggKVLl2LXrl0YNGiQqbtJRKXgMVkiM5aWloY7d+7g1Vdfha2tLXx9feHt7Q0nJycEBgYiOTmZ9y4mMmMMWSIzlp+fD+DhHZ4e5+joCJ1Ox5AlMmMMWSIzVqNGDSiVSqSkpBSbd/r0adSoUQOWljzqQ2Su+O4kMmP29vZo1aoVdu3aBZVKhYCAADx48AD79u3DhQsXMHToUFN3kYjKoBB4Jfsz02q10Gg0yM7OLnFYj+hZFBYWYtOmTTh58qR4drGVlRVCQkLQsWNHE/eOiMrCkJUAQ5aeh9u3b+Pq1atQKpVo0KBBib8xS0TmhcPFRJVEtWrVUK1aNVN3g4gqgCc+ERERyYQhS0REJBOGLBERkUx4TJaokrh16xb+/PNPWFpaws/PD3Z2dqbuEhE9AUOWyMwVFhZi/fr1SE5OFsssLS0RHByMLl26mK5jRPREDFkiM/fLL7/g7NmzePPNN9GyZUvxZhTbt2+HRqNBy5YtTd1FIioFj8kSmbF79+7h+PHj6NGjB/z9/fHnn38iMzMTISEhaNiwIfbu3WvqLhJRGbgnS2TGbty4AYPBgJs3b2LWrFnQ6XQAAAcHBzRq1Ajnz5+HTqfj/YuJzBTfmURmzNraGgDw+++/IygoCAEBAcjPz8fevXtx9OhRKJVKWFhwQIrIXDFkicxY9erVAQDOzs7o1q2buMfaq1cvnD59GjY2NgxZIjNm1u/OAwcOoE+fPvDy8oJCocCWLVuM5isUihIfCxcuFOvUrl272PwPP/zQaDkpKSno0KEDrK2t4e3tjQULFjyP1SN6or///hsAkJ2djYULF2Lnzp3YvHkzFi1aBJVKhZycHOj1ehP3kohKY9Z7svfv30ezZs3w9ttv4/XXXy82Pz093Wh6586dCAsLQ//+/Y3KZ82ahdGjR4vTDg4O4t9arRbdu3dHUFAQVq1ahdOnT+Ptt9+Gk5MTwsPDJV4jooop2nMdMGAALly4gGPHjsHS0hKtW7eGpaUl9u3bB4VCYeJeElFpzDpkQ0JCEBISUup8Dw8Po+mtW7eiS5cuqFOnjlG5g4NDsbpF1q1bh4KCAnzzzTdQqVRo3LgxkpOTsWjRIoYsmZyPjw8cHR1x5swZDBs2TBwazsvLw6effoomTZpwuJjIjFWZd2dmZia2b9+OsLCwYvM+/PBDVKtWDS1atMDChQvFMzQBICkpCR07doRKpRLLgoODkZqairt37z6XvhOVRqlUom/fvjhz5gxWrFiBw4cPY8+ePVi0aBHy8vIQHBxs6i4SURnMek+2Ir799ls4ODgUG1aeOHEiWrZsCRcXFxw+fBhRUVFIT0/HokWLAAAZGRnw9fU1eo67u7s4z9nZuVhb+fn5yM/PF6e1Wq3Uq0Mkat68OWxsbJCYmIjNmzdDqVTC398f3bt3h5ubm6m7R0RlqDIh+80332Do0KHiJQ9FIiMjxb+bNm0KlUqFMWPGYP78+VCr1U/V1vz58xETE/NM/SWqiAYNGqBBgwYwGAziCXxEZP6qxHDxwYMHkZqailGjRj2xbps2baDT6XD16lUAD4/rZmZmGtUpmi7tOG5UVBSys7PFx19//fVsK0BUThYWFgxYokqkSoTs119/jYCAADRr1uyJdZOTk2FhYSEOswUGBuLAgQMoLCwU6yQkJKBBgwYlDhUDgFqthqOjo9GDiIjocWYdsjk5OUhOThZ/feTKlStITk5GWlqaWEer1WLjxo0l7sUmJSVh8eLFOHXqFP7880+sW7cOkydPxltvvSUG6JAhQ6BSqRAWFoazZ89i/fr1WLJkidEwMxER0dNQCIIgmLoTpdm3b1+JP+UVGhqKNWvWAAC++OILTJo0Cenp6dBoNEb1Tp48iXHjxuHChQvIz8+Hr68vhg0bhsjISKPjsSkpKYiIiMCxY8dQvXp1TJgwAdOmTSt3P7VaLTQaDbKzs7lXS7K4desWDhw4gMuXL8PS0hJNmzbFK6+8AltbW1N3jYjKYNYhW1kwZElOV65cwZdffgm1Wg1/f388ePAAp0+fhpOTE8aNG2d0cxUiMi9V5uxioqpIEARs3LgRXl5eGD16tDgC888//2Dp0qWIj48vdoczIjIfDFkiM3b9+nXcvHkTr7/+OjZu3CgOF/v7+6Nly5Y4duwYXn/9dZ5xTGSmGLJEZiw3NxfAw1uGOjs7o3Xr1sjPz8exY8egUCiQn58PvV7P35MlMlN8ZxKZsaK7j7m4uGDKlClimHbp0gXz58+HtbU1A5bIjJn1JTxEL7rs7Gzx37Nnz8JgMODBgwf4/fffodPpUFhYCIPBYOJeElFp+BWYyIw9ePAAAFCzZk189913sLKygsFggMFggJ+fHy5cuACDwcBf4iEyUwxZIjPm5eUFpVKJRo0aoW/fvrh06RKsrKzQuHFj/Pzzz/Dy8uJwMZEZ47uTyIw5ODjg5Zdfxq5du2BtbY127drhwYMH2Lt3L86fP48hQ4aYuotEVAbejEICvBkFyamwsBAbNmzAH3/8IZZZWloiODi4xDuiEZH5YMhKgCFLz8M///yDP//8E5aWlvDz8+MtFYkqAQ4XE1US1atXR/Xq1U3dDSKqAJ6SSEREJBOGLBERkUwYskRERDJhyBIREcmEIUtERCQThiwREZFMeAkPUSWg1WqRlJQkXifr7++PgIAAWFlZmbprRFQG7skSmbn09HR88skn2L9/P2xtbSEIAn7++WesWLFC/AEBIjJP3JMlMmOCIOCnn36Co6MjxowZA3t7ewDAX3/9hVWrViEhIQF9+vQxcS+JqDTckyUyY+np6fj7778REhIiBiwAeHt7o23btjh27Bh4Z1Qi88WQJTJj9+7dAwB4eHgUm+fh4YHc3Fzo9frn3S0iKieGLJEZK7pX8eXLlwEAer0eOp0Oer0ely5dgouLC5RKpSm7SERl4DFZIjNWrVo1NGzYENu3b4ezszMmTpyI3NxceHl5oUaNGujduzcUCoWpu0lEpeBP3UmAP3VHcsrJycFXX32F69evIz8/Hw6OGhTkP8DLL7+MAQMGwMKCA1JE5orvTiIzZ29vj4kTJ2LEiBG4e/cufBs0xtmzZ/HGG28wYInMHN+hRJWAhYUF/Pz8cP36dTRq0Rp5eXmm7hIRlQNDloiISCYMWSIiIpkwZImIiGTCkCUiIpIJQ5aIiEgmDFkiIiKZMGSJiIhkwpAlIiKSCUOWiIhIJgxZIiIimTBkiYiIZMKQJSIikglDloiISCYMWSIiIpkwZImIiGTCkCUiIpIJQ5aIiEgmDFkiIiKZmHXIHjhwAH369IGXlxcUCgW2bNliNH/EiBFQKBRGjx49ehjVuXPnDoYOHQpHR0c4OTkhLCwMOTk5RnVSUlLQoUMHWFtbw9vbGwsWLJB71YiI6AVg1iF7//59NGvWDMuXLy+1To8ePZCeni4+fvzxR6P5Q4cOxdmzZ5GQkIDY2FgcOHAA4eHh4nytVovu3bvDx8cHJ06cwMKFCxEdHY0vvvhCtvUiehp6vb7Ef4nIfCkEQRBM3YnyUCgU+OWXX9CvXz+xbMSIEcjKyiq2h1vk/PnzaNSoEY4dO4aXX34ZABAXF4eePXvi+vXr8PLywsqVKzFjxgxkZGRApVIBAKZPn44tW7bgwoUL5eqbVquFRqNBdnY2HB0dn2k9iUqi1+vRu3dvPMjPh2AwQGFhAWu1GrGxsVAqlabuHhGVwqz3ZMtj3759cHNzQ4MGDTB27Fjcvn1bnJeUlAQnJycxYAEgKCgIFhYWOHr0qFinY8eOYsACQHBwMFJTU3H37t0S28zPz4dWqzV6EMlJEATk5eVh+ofLMOPjlZj+4TLk5eWhknxHJnphVeqQ7dGjB9auXYvdu3fjo48+wv79+xESEiIOo2VkZMDNzc3oOZaWlnBxcUFGRoZYx93d3ahO0XRRncfNnz8fGo1GfHh7e0u9akQlsrKygkplDSsrK1N3hYjKwdLUHXgWgwYNEv/29/dH06ZNUbduXezbtw/dunWTrd2oqChERkaK01qtlkFLRETFVOo92cfVqVMH1atXx6VLlwAAHh4euHnzplEdnU6HO3fuwMPDQ6yTmZlpVKdouqjO49RqNRwdHY0eREREj6tSIXv9+nXcvn0bnp6eAIDAwEBkZWXhxIkTYp09e/bAYDCgTZs2Yp0DBw6gsLBQrJOQkIAGDRrA2dn5+a4AERFVKWYdsjk5OUhOTkZycjIA4MqVK0hOTkZaWhpycnIwdepUHDlyBFevXsXu3bvx2muvoV69eggODgYANGzYED169MDo0aPx+++/47fffsP48eMxaNAgeHl5AQCGDBkClUqFsLAwnD17FuvXr8eSJUuMhoOJiIiehlmH7PHjx9GiRQu0aNECABAZGYkWLVpg5syZUCqVSElJQd++ffHSSy8hLCwMAQEBOHjwINRqtbiMdevWwc/PD926dUPPnj3Rvn17o2tgNRoN4uPjceXKFQQEBGDKlCmYOXOm0bW0RERET8OsT3zq3LlzmZco7Nq164nLcHFxwQ8//FBmnaZNm+LgwYMV7h8REVFZzHpPloiIqDJjyBIREcmEIUtERCQThiwREZFMGLJEREQyYcgSERHJhCFLREQkE4YsERGRTBiyREREMmHIEhERyYQhS0REJBOGLBERkUwYskRERDIx61/hISJAr9dDp9OJfz/6r06ng0KhgFKpNFn/iKh0CqGs35KjctFqtdBoNMjOzoajo6Opu0NViF6vR58+fZCbmwuFhQUEg0GcVzRta2uLbdu2MWiJzBD3ZInMmCAIyM3NxaQ5nwEKhdHvKysUCkAQsPi9CWX+7jIRmQ5DlqgSsFAqoVQWf7vq9ToT9IaIyosnPhEREcmEIUtERCQThiwREZFMGLJEREQyYcgSERHJhCFLREQkE4YsERGRTBiyREREMmHIEhERyYQhS0REJBOGLBERkUwYskRERDJhyBIREcmEIUtERCQThiwREZFMGLJEREQyYcgSERHJhCFLREQkE4YsERGRTBiyREREMmHIEhERyYQhS0REJBOGLBERkUwYskRERDJhyBIREcmEIUtERCQThiwREZFMzDpkDxw4gD59+sDLywsKhQJbtmwR5xUWFmLatGnw9/eHnZ0dvLy8MHz4cNy4ccNoGbVr14ZCoTB6fPjhh0Z1UlJS0KFDB1hbW8Pb2xsLFix4HqtHRERVnFmH7P3799GsWTMsX7682Lzc3FycPHkS77//Pk6ePInNmzcjNTUVffv2LVZ31qxZSE9PFx8TJkwQ52m1WnTv3h0+Pj44ceIEFi5ciOjoaHzxxReyrhsREVV9lqbuQFlCQkIQEhJS4jyNRoOEhASjsmXLlqF169ZIS0tDrVq1xHIHBwd4eHiUuJx169ahoKAA33zzDVQqFRo3bozk5GQsWrQI4eHh0q0MERG9cMx6T7aisrOzoVAo4OTkZFT+4Ycfolq1amjRogUWLlwInU4nzktKSkLHjh2hUqnEsuDgYKSmpuLu3bsltpOfnw+tVmv0ICIiepxZ78lWxIMHDzBt2jQMHjwYjo6OYvnEiRPRsmVLuLi44PDhw4iKikJ6ejoWLVoEAMjIyICvr6/Rstzd3cV5zs7OxdqaP38+YmJiZFwbIiKqCqpEyBYWFmLAgAEQBAErV640mhcZGSn+3bRpU6hUKowZMwbz58+HWq1+qvaioqKMlqvVauHt7f10nScioiqr0odsUcBeu3YNe/bsMdqLLUmbNm2g0+lw9epVNGjQAB4eHsjMzDSqUzRd2nFctVr91AFNREQvjkp9TLYoYC9evIjExERUq1btic9JTk6GhYUF3NzcAACBgYE4cOAACgsLxToJCQlo0KBBiUPFRERE5WXWe7I5OTm4dOmSOH3lyhUkJyfDxcUFnp6eeOONN3Dy5EnExsZCr9cjIyMDAODi4gKVSoWkpCQcPXoUXbp0gYODA5KSkjB58mS89dZbYoAOGTIEMTExCAsLw7Rp03DmzBksWbIEn376qUnWmYiIqg6zDtnjx4+jS5cu4nTRcdDQ0FBER0fj119/BQA0b97c6Hl79+5F586doVar8dNPPyE6Ohr5+fnw9fXF5MmTjY6najQaxMfHIyIiAgEBAahevTpmzpzJy3fIZPR6PQRBAADxTHiDXl9i3aLyR8+YVygUUCqVMveSiMpDIRS9m+mpabVaaDQaZGdnP/GYMFFZ9Ho9evfpg7zcXLFMobCAIBhKfc7j821sbRG7bRuDlsgMmPWeLNGLRhAE5OXmYuS7n8Di/4ekwWAAyvourFDAwuLh6RUGvR6r500BvzsTmQeGLJEZslAqxZC14B4pUaVVqc8uJiIiMmeSh2xWVha++uorREVF4c6dOwCAkydP4u+//5a6KSIiIrMm6XBxSkoKgoKCoNFocPXqVYwePRouLi7YvHkz0tLSsHbtWimbIyIiMmuS7slGRkZixIgRuHjxIqytrcXynj174sCBA1I2RUREZPYkDdljx45hzJgxxcpr1Kgh3iiCiIjoRSFpyKrV6hJ/9u1///sfXF1dpWyKiIjI7Ekasn379sWsWbPE+wArFAqkpaVh2rRp6N+/v5RNERERmT1JQ/aTTz5BTk4O3NzckJeXh06dOqFevXpwcHDA3LlzpWyKiIjI7El6drFGo0FCQgJ+++03nDp1Cjk5OWjZsiWCgoKkbIaIiKhSkOWOT+3atUO7du3kWDQREVGlIelw8cSJE7F06dJi5cuWLcOkSZOkbIqIiMjsSRqyP//8c4l7sK+88go2bdokZVNERERmT9KQvX37NjQaTbFyR0dH/PPPP1I2RUREZPYkDdl69eohLi6uWPnOnTtRp04dKZsiIiIye5Ke+BQZGYnx48fj1q1b6Nq1KwBg9+7d+OSTT7B48WIpmyIiIjJ7kobs22+/jfz8fMydOxezZ88GANSuXRsrV67E8OHDpWyKiIjI7El+Cc/YsWMxduxY3Lp1CzY2NrC3t5e6CSIiokpBlutkAfBexURE9MKT9MSnzMxMDBs2DF5eXrC0tIRSqTR6EBERvUgk3ZMdMWIE0tLS8P7778PT0xMKhULKxRMREVUqkobsoUOHcPDgQTRv3lzKxRIREVVKkg4Xe3t7QxAEKRdJRERUaUkasosXL8b06dNx9epVKRdLRERUKUk6XDxw4EDk5uaibt26sLW1hZWVldH8O3fuSNkcERGRWZM0ZHlXJyIiov8jaciGhoZKuTgiIqJKTbabUTx48AAFBQVGZY6OjnI1R0REZHYkPfHp/v37GD9+PNzc3GBnZwdnZ2ejBxER0YtE0pB95513sGfPHqxcuRJqtRpfffUVYmJi4OXlhbVr10rZFBERkdmTdLh427ZtWLt2LTp37oyRI0eiQ4cOqFevHnx8fLBu3ToMHTpUyuaIKiW9Xl/q9eQ6nQ4AYNDrn2rZRc8rWs7jFAoFb3FK9BwpBAnvHmFvb49z586hVq1aqFmzJjZv3ozWrVvjypUr8Pf3R05OjlRNmRWtVguNRoPs7Gwed6Yy6fV69O7TB3m5uaXWUSgsIAiGp26jrOfb2Noidts2Bi3RcyLpnmydOnVw5coV1KpVC35+ftiwYQNat26Nbdu2wcnJScqmiColQRCQl5uLPhPnwsKi5KATDIZnunOaQqGAwqL4kSCDQY9tS2fwrmxEz5GkITty5EicOnUKnTp1wvTp09GnTx8sW7YMhYWFWLRokZRNEVVqFhZKWJS2N8m9TKIqQ9KQnTx5svh3UFAQLly4gBMnTqBevXpo2rSplE0RERGZPUnPLl67di3y8/PFaR8fH7z++uvw8/Pj2cVERPTCkTRkR44ciezs7GLl9+7dw8iRI6VsioiIyOxJGrKCIJT4Q+3Xr1+HRqORsikiIiKzJ8kx2RYtWjw8o1GhQLdu3WBp+X+L1ev1uHLlCnr06CFFU0RERJWGJCHbr18/AEBycjKCg4Nhb28vzlOpVKhduzb69+8vRVNERESVhiQh+8EHHwAAateujUGDBkGtVkuxWCIiokpN0mOyXbt2xa1bt8Tp33//HZMmTcIXX3whZTNERESVgqQhO2TIEOzduxcAkJGRgaCgIPz++++YMWMGZs2aJWVTREREZk/SkD1z5gxat24NANiwYQP8/f1x+PBhrFu3DmvWrKnw8g4cOIA+ffrAy8sLCoUCW7ZsMZovCAJmzpwJT09P2NjYICgoCBcvXjSqc+fOHQwdOhSOjo5wcnJCWFhYsXsop6SkoEOHDrC2toa3tzcWLFhQ4b4SERE9TtKQLSwsFI/HJiYmom/fvgAAPz8/pKenV3h59+/fR7NmzbB8+fIS5y9YsABLly7FqlWrcPToUdjZ2SE4OBgPHjwQ6wwdOhRnz55FQkICYmNjceDAAYSHh4vztVotunfvDh8fH5w4cQILFy5EdHQ0h7iJiOiZSXpbxcaNG2PVqlXo1asXEhISMHv2bADAjRs3UK1atQovLyQkBCEhISXOEwQBixcvxnvvvYfXXnsNwMM7Trm7u2PLli0YNGgQzp8/j7i4OBw7dgwvv/wyAOCzzz5Dz5498fHHH8PLywvr1q1DQUEBvvnmG6hUKjRu3BjJyclYtGiRURgTERFVlKR7sh999BE+//xzdO7cGYMHD0azZs0AAL/++qs4jCyVK1euiMd9i2g0GrRp0wZJSUkAgKSkJDg5OYkBCzy8p7KFhQWOHj0q1unYsSNUKpVYJzg4GKmpqbh7966kfSYioheLpHuynTt3xj///AOtVgtnZ2exPDw8HLa2tlI2hYyMDACAu7u7Ubm7u7s4LyMjA25ubkbzLS0t4eLiYlTH19e32DKK5j26HkXy8/ON7tGs1WqfcW2IiKgqknRPFgCUSmWxYKpdu3axsKvM5s+fD41GIz68vb1N3SUiIjJDz7wn27JlS+zevRvOzs7i7RVLc/LkyWdtTuTh4QEAyMzMhKenp1iemZmJ5s2bi3Vu3rxp9DydToc7d+6Iz/fw8EBmZqZRnaLpojqPi4qKQmRkpDit1WoZtEREVMwzh+xrr70mnlFcdHvF58HX1xceHh7YvXu3GKparRZHjx7F2LFjAQCBgYHIysrCiRMnEBAQAADYs2cPDAYD2rRpI9aZMWMGCgsLYWVlBQBISEhAgwYNShwqBgC1Ws27WhER0RM9c8gW3VLx8b+lkJOTg0uXLonTV65cQXJyMlxcXFCrVi1MmjQJc+bMQf369eHr64v3338fXl5eYtg3bNgQPXr0wOjRo7Fq1SoUFhZi/PjxGDRoELy8vAA8vIFGTEwMwsLCMG3aNJw5cwZLlizBp59+Kum6EBHRi0fSE5+kdvz4cXTp0kWcLhqiDQ0NxZo1a/DOO+/g/v37CA8PR1ZWFtq3b4+4uDhYW1uLz1m3bh3Gjx+Pbt26wcLCAv3798fSpUvF+RqNBvHx8YiIiEBAQACqV6+OmTNn8vIdIiJ6ZgpBEIRnWYCzs3OZx2EfdefOnWdpymxptVpoNBpkZ2fD0dHR1N0hM6bT6RAUFITXJn0IC6XyubZt0OuxdfF0JCYmGv0cJRHJ55nfaYsXLxb/vn37NubMmYPg4GAEBgYCeHgd6q5du/D+++8/a1NERESVyjOHbGhoqPh3//79MWvWLIwfP14smzhxIpYtW4bExERMnjz5WZsjIiKqNCS9TnbXrl3o0aNHsfIePXogMTFRyqaIiIjMnqQhW61aNWzdurVY+datW5/q3sVERESVmaRnP8TExGDUqFHYt2+feB3q0aNHERcXhy+//FLKpoiIiMyepCE7YsQINGzYEEuXLsXmzZsBPLxW9dChQ2LoEhERvSgkP4+/TZs2WLdundSLJSIiqnQk/4EAIiIieoghS0REJBOGLBERkUwYskRERDKRJWQvXbqEXbt2IS8vDwDwjLdHJiIiqpQkDdnbt28jKCgIL730Enr27In09HQAQFhYGKZMmSJlU0RERGZP0pCdPHkyLC0tkZaWBltbW7F84MCBiIuLk7IpIiIisyfpdbLx8fHYtWsXatasaVRev359XLt2TcqmiIiIzJ6ke7L379832oMtcufOHajVaimbIiIiMnuShmyHDh2wdu1acVqhUMBgMGDBggXo0qWLlE0RERGZPUmHixcsWIBu3brh+PHjKCgowDvvvIOzZ8/izp07+O2336RsioiIyOxJGrJNmjTB//73PyxbtgwODg7IycnB66+/joiICHh6ekrZFJFJ6fX6p7o0TafTAQAMBr3UXXqiojaL+vA0FAoFlEqlVF0iqvIUAi9ifWZarRYajQbZ2dlwdHQ0dXdIZnq9Hr1790FeXu5TPV+hUJjs2vFnbdvGxhaxsdsYtETlJOme7OrVq2Fvb48333zTqHzjxo3Izc1FaGiolM0RmYQgCMjLy0Xr0HehsKh42AgGAwSYKGShgMLi6U7FEAx6/P7tPN5chqgCJA3Z+fPn4/PPPy9W7ubmhvDwcIYsVSkKCyUsniJk8TTPMQMGU3eAqBKS9OzitLQ0+Pr6Fiv38fFBWlqalE0RERGZPUlD1s3NDSkpKcXKT506hWrVqknZFBERkdmTNGQHDx6MiRMnYu/evdDr9dDr9dizZw/+85//YNCgQVI2RUREZPYkPSY7e/ZsXL16Fd26dYOl5cNFGwwGDB8+HPPmzZOyKSIiIrMnaciqVCqsX78es2fPxqlTp2BjYwN/f3/4+PhI2QwREVGlIGnIFnnppZfw0ksvybFoIiKiSkPykL1+/Tp+/fVXpKWloaCgwGjeokWLpG6OiIjIbEkasrt370bfvn1Rp04dXLhwAU2aNMHVq1chCAJatmwpZVNERERmT9Kzi6OiovDf//4Xp0+fhrW1NX7++Wf89ddf6NSpU7G7QBEREVV1kobs+fPnMXz4cACApaUl8vLyYG9vj1mzZuGjjz6SsikiIiKzJ2nI2tnZicdhPT09cfnyZXHeP//8I2VTREREZk/SY7Jt27bFoUOH0LBhQ/Ts2RNTpkzB6dOnsXnzZrRt21bKpoiIiMyepCG7aNEi5OTkAABiYmKQk5OD9evXo379+jyzmIiIXjjPHLJLly5FeHg4rK2tYWlpCX9/fwAPh45XrVr1zB0kIiKqrJ75mGxkZCS0Wi0AwNfXF7du3XrmThEREVUFz7wn6+XlhZ9//hk9e/aEIAi4fv06Hjx4UGLdWrVqPWtzRERElcYzh+x7772HCRMmYPz48VAoFGjVqlWxOoIgQKFQQK/XP2tzRERElcYzh2x4eDgGDx6Ma9euoWnTpkhMTORvxxIREUGis4sdHBzQsGFDrF69Gg0bNoSnp6cUiyUiIqrUJLsZhVKpxJgxY0o9HktERPSikfSOT02aNMGff/4p5SKJiIgqLUlDds6cOfjvf/+L2NhYpKenQ6vVGj2IiIheJJLe8alnz54AgL59+0KhUIjlPLuYiIheRJLuye7du1d87NmzR3wUTUutdu3aUCgUxR4REREAgM6dOxeb9+9//9toGWlpaejVqxdsbW3h5uaGqVOnQqfTSd5XIiJ68Ui6J9upUycpF/dEx44dM9o7PnPmDF599VWj364dPXo0Zs2aJU7b2tqKf+v1evTq1QseHh44fPgw0tPTMXz4cFhZWWHevHnPZyWIiKjKkjRkDxw4UOb8jh07StkcXF1djaY//PBD1K1b1yjsbW1t4eHhUeLz4+Pjce7cOSQmJsLd3R3NmzfH7NmzMW3aNERHR0OlUknaXyIierFIGrKdO3cuVvbosVk5j8kWFBTg+++/R2RkpFGb69atw/fffw8PDw/06dMH77//vrg3m5SUBH9/f7i7u4v1g4ODMXbsWJw9exYtWrQosa38/Hzk5+eL0zypi4iISiJpyN69e9dourCwEH/88Qfef/99zJ07V8qmitmyZQuysrIwYsQIsWzIkCHw8fGBl5cXUlJSMG3aNKSmpmLz5s0AgIyMDKOABSBOZ2RklNrW/PnzERMTI/1KEBFRlSJpyGo0mmJlr776KlQqFSIjI3HixAkpmzPy9ddfIyQkBF5eXmJZeHi4+Le/vz88PT3RrVs3XL58GXXr1n3qtqKiohAZGSlOa7VaeHt7P/XyiIioapI0ZEvj7u6O1NRU2ZZ/7do1JCYminuopWnTpg0A4NKlS6hbty48PDzw+++/G9XJzMwEgFKP4wKAWq2GWq1+xl4TEVFVJ2nIpqSkGE0LgoD09HR8+OGHaN68uZRNGVm9ejXc3NzQq1evMuslJycDgHhv5cDAQMydOxc3b96Em5sbACAhIQGOjo5o1KiRbP0lIqIXg6Qh27x5cygUCgiCYFTetm1bfPPNN1I2JTIYDFi9ejVCQ0Nhafl/q3P58mX88MMP6NmzJ6pVq4aUlBRMnjwZHTt2RNOmTQEA3bt3R6NGjTBs2DAsWLAAGRkZeO+99xAREcE9VSIiemaShuyVK1eMpi0sLODq6gpra2spmzGSmJiItLQ0vP3220blKpUKiYmJWLx4Me7fvw9vb2/0798f7733nlhHqVQiNjYWY8eORWBgIOzs7BAaGmp0XS0REdHTkjRkfXx8pFxcuXTv3r3YnjMAeHt7Y//+/U98vo+PD3bs2CFH14iI6AUnyW0Vk5KSEBsba1S2du1a+Pr6ws3NDeHh4UbXlRIREb0IJAnZWbNm4ezZs+L06dOnERYWhqCgIEyfPh3btm3D/PnzpWiKiIio0pAkZJOTk9GtWzdx+qeffkKbNm3w5ZdfIjIyEkuXLsWGDRukaIqIiKjSkCRk7969a3TnpP379yMkJEScbtWqFf766y8pmiIiIqo0JAlZd3d38czigoICnDx5Em3bthXn37t3D1ZWVlI0RUREVGlIErI9e/bE9OnTcfDgQURFRcHW1hYdOnQQ56ekpDzTbQyJiIgqI0ku4Zk9ezZef/11dOrUCfb29vj222+Nfibum2++Qffu3aVoioiIqNKQJGSrV6+OAwcOIDs7G/b29lAqlUbzN27cCHt7eymaIiIiqjRk/xUeAHBxcZGyGSIiokpBkmOyREREVBxDloiISCYMWSIiIpkwZImIiGTCkCUiIpIJQ5aIiEgmDFkiIiKZMGSJiIhkwpAlIiKSCUOWiIhIJgxZIiIimUh672Ki50mv10MQhOferk6nAwAIBj0Mz7110xEMegD/t/7Pm0KhKPbjI0TmTiGY4lOqitFqtdBoNMjOzoajo6Opu/NC0Ov16NW7Dx7k5ZqmAwoF8CK+dUy43tY2ttgeu41BS5UK92SpUhIEAQ/ycuHRcyJg8fyPegiC4YUNWYXCBEeZDAZk7FhqkpELomfBkKXKzcICCovnv2ejAPemnidGK1VWPPGJiIhIJgxZIiIimTBkiYiIZMKQJSIikglDloiISCYMWSIiIpkwZImIiGTCkCUiIpIJQ5aIiEgmDFkiIiKZMGSJiIhkwpAlIiKSCUOWiIhIJgxZIiIimTBkiYiIZMKQJSIikglDloiISCYMWSIiIpkwZImIiGTCkCUiIpJJpQ7Z6OhoKBQKo4efn584/8GDB4iIiEC1atVgb2+P/v37IzMz02gZaWlp6NWrF2xtbeHm5oapU6dCp9M971UhIqIqyNLUHXhWjRs3RmJiojhtafl/qzR58mRs374dGzduhEajwfjx4/H666/jt99+AwDo9Xr06tULHh4eOHz4MNLT0zF8+HBYWVlh3rx5z31diIioaqn0IWtpaQkPD49i5dnZ2fj666/xww8/oGvXrgCA1atXo2HDhjhy5Ajatm2L+Ph4nDt3DomJiXB3d0fz5s0xe/ZsTJs2DdHR0VCpVM97dYiIqAqp1MPFAHDx4kV4eXmhTp06GDp0KNLS0gAAJ06cQGFhIYKCgsS6fn5+qFWrFpKSkgAASUlJ8Pf3h7u7u1gnODgYWq0WZ8+eLbXN/Px8aLVaowcREdHjKnXItmnTBmvWrEFcXBxWrlyJK1euoEOHDrh37x4yMjKgUqng5ORk9Bx3d3dkZGQAADIyMowCtmh+0bzSzJ8/HxqNRnx4e3tLu2JERFQlVOrh4pCQEPHvpk2bok2bNvDx8cGGDRtgY2MjW7tRUVGIjIwUp7VaLYOWiIiKqdR7so9zcnLCSy+9hEuXLsHDwwMFBQXIysoyqpOZmSkew/Xw8Ch2tnHRdEnHeYuo1Wo4OjoaPYiIiB5XpUI2JycHly9fhqenJwICAmBlZYXdu3eL81NTU5GWlobAwEAAQGBgIE6fPo2bN2+KdRISEuDo6IhGjRo99/4TEVHVUqmHi//73/+iT58+8PHxwY0bN/DBBx9AqVRi8ODB0Gg0CAsLQ2RkJFxcXODo6IgJEyYgMDAQbdu2BQB0794djRo1wrBhw7BgwQJkZGTgvffeQ0REBNRqtYnXjoiIKrtKHbLXr1/H4MGDcfv2bbi6uqJ9+/Y4cuQIXF1dAQCffvopLCws0L9/f+Tn5yM4OBgrVqwQn69UKhEbG4uxY8ciMDAQdnZ2CA0NxaxZs0y1SkREVIUoBEEQTN2Jyk6r1UKj0SA7O5vHZ58TnU6HoKAgePSeBIWF0tTdIZkJBj0yYhcjMTHR6IYzROauSh2TJSIiMicMWSIiIpkwZImIiGTCkCUiIpIJQ5aIiEgmDFkiIiKZMGSJiIhkwpAlIiKSCUOWiIhIJgxZIiIimTBkiYiIZMKQJSIikglDloiISCYMWSIiIpkwZImIiGTCkCUiIpIJQ5aIiEgmDFkiIiKZMGSJiIhkwpAlIiKSCUOWiIhIJgxZIiIimTBkiYiIZMKQJSIikglDloiISCYMWSIiIpkwZImIiGTCkCUiIpIJQ5aIiEgmlqbuAD07vV4PQRBM3Y3nSqfTPfzDYMCLteYvKIMBwCP/7y8QhUIBpVJp6m7QU1IIL9qnswy0Wi00Gg2ys7Ph6Oj4XNvW6/Xo1bs3HuTlPdd2zYJCAXDzfXG8oP/f1jY22B4by6CtpLgnW8kJgoAHeXm413I4oHjBRv8Fg6l7QM/bi7iNn1z7wo1UVSUM2apCYQFYvGAfQDylgKo6fo+s9PgpRUREJBOGLBERkUwYskRERDJhyBIREcmEIUtERCQThiwREZFMGLJEREQyYcgSERHJhCFLREQkE4YsERGRTBiyREREMqnUITt//ny0atUKDg4OcHNzQ79+/ZCammpUp3PnzlAoFEaPf//730Z10tLS0KtXL9ja2sLNzQ1Tp059IX9Si4iIpFWpfyBg//79iIiIQKtWraDT6fDuu++ie/fuOHfuHOzs7MR6o0ePxqxZs8RpW1tb8W+9Xo9evXrBw8MDhw8fRnp6OoYPHw4rKyvMmzfvua4PERFVLZU6ZOPi4oym16xZAzc3N5w4cQIdO3YUy21tbeHh4VHiMuLj43Hu3DkkJibC3d0dzZs3x+zZszFt2jRER0dDpVLJug5ERFR1Verh4sdlZ2cDAFxcXIzK161bh+rVq6NJkyaIiopCbm6uOC8pKQn+/v5wd3cXy4KDg6HVanH27Nnn03EiIqqSKvWe7KMMBgMmTZqEdu3aoUmTJmL5kCFD4OPjAy8vL6SkpGDatGlITU3F5s2bAQAZGRlGAQtAnM7IyCixrfz8fOTn54vTWq1W6tUhIqIqoMqEbEREBM6cOYNDhw4ZlYeHh4t/+/v7w9PTE926dcPly5dRt27dp2pr/vz5iImJeab+EhFR1VclhovHjx+P2NhY7N27FzVr1iyzbps2bQAAly5dAgB4eHggMzPTqE7RdGnHcaOiopCdnS0+/vrrr2ddBSIiqoIqdcgKgoDx48fjl19+wZ49e+Dr6/vE5yQnJwMAPD09AQCBgYE4ffo0bt68KdZJSEiAo6MjGjVqVOIy1Go1HB0djR5ERESPq9TDxREREfjhhx+wdetWODg4iMdQNRoNbGxscPnyZfzwww/o2bMnqlWrhpSUFEyePBkdO3ZE06ZNAQDdu3dHo0aNMGzYMCxYsAAZGRl47733EBERAbVabcrVIyKiSq5S78muXLkS2dnZ6Ny5Mzw9PcXH+vXrAQAqlQqJiYno3r07/Pz8MGXKFPTv3x/btm0Tl6FUKhEbGwulUonAwEC89dZbGD58uNF1tURERE+jUu/JCoJQ5nxvb2/s37//icvx8fHBjh07pOoWERERgEq+J0tERGTOGLJEREQyYcgSERHJhCFLREQkE4YsERGRTBiyREREMmHIEhERyYQhS0REJBOGLBERkUwYskRERDJhyBIREcmEIUtERCQThiwREZFMGLJEREQyYcgSERHJhCFLREQkE4YsERGRTBiyREREMmHIEhERyYQhS0REJBOGLBERkUwYskRERDJhyBIREcmEIUtERCQThiwREZFMGLJEREQyYcgSERHJhCFLREQkE4YsERGRTBiyREREMmHIEhERyYQhS0REJBOGLBERkUwYskRERDJhyBIREcmEIUtERCQThiwREZFMGLJEREQyYcgSERHJhCFLREQkE0tTd4CkoXiQDSj4nYmoShEMpu4BPSOGbBVhf/YXU3eBiIgew5CtInIa/4t7skRVjWDgF+hKjiFbRQjWGsCCIUtUpRg4XFzZ8VOZiIhIJtyT/f+WL1+OhQsXIiMjA82aNcNnn32G1q1bm7pb5ScYAH7pJapaeOJTpceQBbB+/XpERkZi1apVaNOmDRYvXozg4GCkpqbCzc3N1N0rk0KhgLWNDXByram7QkQysLaxgUKhMHU36CkpBEEQTN0JU2vTpg1atWqFZcuWAQAMBgO8vb0xYcIETJ8+/YnP12q10Gg0yM7OhqOjo9zdLUav1+NF+2/U6XTo0aMH3ILHQsETvqo8QTDg5q6ViIuLg6Xli7VvoFAooFQqTd0Nekov1tZagoKCApw4cQJRUVFimYWFBYKCgpCUlFTic/Lz85Gfny9Oa7Va2ftZlhfxDfhwD94WN3etNHVX6DmxtrGFlZXVC7m9U+X1wofsP//8A71eD3d3d6Nyd3d3XLhwocTnzJ8/HzExMc+je1QKpVKJ7bHbTLIHr9fr8dpr/fDgQd5zb9vUrK1tsHXrFpMEHffoqDJ64UP2aURFRSEyMlKc1mq18Pb2NmGPXkym+sC1tLTE9u2xTx3wTxref3x+0bRer4dOp4MgCFAoFLC0tIRSqSwWPmWF0bMGFYOOqGJe+JCtXr06lEolMjMzjcozMzPh4eFR4nPUajXUavXz6B6ZqWcJmhftmCLRi+yFP2NEpVIhICAAu3fvFssMBgN2796NwMBAE/aMiIgqO36lBhAZGYnQ0FC8/PLLaN26NRYvXoz79+9j5MiRpu4aERFVYgxZAAMHDsStW7cwc+ZMZGRkoHnz5oiLiyt2MhQREVFF8DpZCZj6OlkiIjJPL/wxWSIiIrkwZImIiGTCkCUiIpIJQ5aIiEgmDFkiIiKZMGSJiIhkwpAlIiKSCUOWiIhIJgxZIiIimTBkiYiIZMKQJSIikglDloiISCYMWSIiIpnwp+4kUPRDRlqt1sQ9ISKSloODAxQKham7UWkxZCVw7949AIC3t7eJe0JEJC3+hOez4e/JSsBgMODGjRv8xkey02q18Pb2xl9//cUPPnou+Ln2bLgnKwELCwvUrFnT1N2gF4ijoyNDlqgS4IlPREREMmHIEhERyYQhS1SJqNVqfPDBB1Cr1abuChGVA098IiIikgn3ZImIiGTCkCUiIpIJQ5aIiEgmDFkiIiKZMGSJiIhkwpAlIiKSCUOWiIhIJgxZIiIimfw/3femDIFzkjAAAAAASUVORK5CYII=", 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min25% quantilemedian75% quantilemax
feature
COMs distance0.0373.7643661.10311012.82322462.811279
Surface distance0.013.145436.2010333.69481896.338623
Entanglement0.00.00000.00000.10791.000000
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" ], "text/plain": [ " min 25% quantile median 75% quantile max\n", "feature \n", "COMs distance 0.0 373.7643 661.1031 1012.8232 2462.811279\n", "Surface distance 0.0 13.1454 36.2010 333.6948 1896.338623\n", "Entanglement 0.0 0.0000 0.0000 0.1079 1.000000" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data_table = defaultdict(list)\n", "\n", "for feature in [\"coms_distance\", \"surface_distance\", \"entanglement\"]:\n", " plt.figure(figsize=(4, 6))\n", " sns.boxenplot(y=dataframe_spatialfeatures[feature])\n", " plt.title(f\"Distribution of {nice_names[feature]} over all segment pairs\")\n", " plt.ylabel(nice_names[feature])\n", " sns.despine()\n", " if save_plots:\n", " filename = f\"{feature}_distribution_allsegments_bypairs\" + (f\"_{file_suffix}\" if file_suffix != \"\" else \"\") + \".pdf\"\n", " plot_filename = Path(plots_folder, filename)\n", " print(f\"Saving plots to: {plot_filename}\")\n", " plt.savefig(plot_filename, **plot_opts)\n", " del filename, plot_filename\n", " else:\n", " plt.show()\n", " plt.close()\n", "\n", " data_table[\"feature\"].append(nice_names[feature])\n", " data_table[\"min\"].append(np.round(dataframe_spatialfeatures[feature].min(), decimals=4))\n", " data_table[\"25% quantile\"].append(np.round(dataframe_spatialfeatures[feature].quantile(0.25), decimals=4))\n", " data_table[\"median\"].append(np.round(dataframe_spatialfeatures[feature].quantile(0.5), decimals=4))\n", " data_table[\"75% quantile\"].append(np.round(dataframe_spatialfeatures[feature].quantile(0.75), decimals=4))\n", " data_table[\"max\"].append(np.round(dataframe_spatialfeatures[feature].max(), decimals=4))\n", "\n", "data_table = pd.DataFrame(data_table).set_index(\"feature\")\n", "display(data_table)\n", "\n", "del feature, data_table" ] }, { "cell_type": "markdown", "id": "81967a1e", "metadata": {}, "source": [ "### Mean, variation and RMSD matrices calculation" ] }, { "cell_type": "markdown", "id": "378919a0", "metadata": {}, "source": [ "Calculate mean and variation matrix for the ensemble of walks. \n", "\n", "The notebook will also calculate the RMSD between the mean matrices.\n", "\n", "[Back to the section index](#spatial-feature-intra-walk)" ] }, { "cell_type": "code", "execution_count": null, "id": "585fe22d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Working on feature: coms_distance...\n", "Working on feature: coms_distance... Done!\n", "Working on feature: surface_distance...\n", "Working on feature: surface_distance... Done!\n", "Working on feature: entanglement...\n", "Working on feature: entanglement... Done!\n" ] } ], "source": [ "mean_combined_mats = {}\n", "std_combined_mats = {}\n", "rmsd_combined_mats = {}\n", "collection_combined_mats = {}\n", "\n", "for feat in [\"coms_distance\", \"surface_distance\", \"entanglement\"]:\n", " print(f\"Working on feature: {feat}...\")\n", "\n", " combined_ent_mat0 = []\n", "\n", " for f in dataframe_spatialfeatures.flag.unique().tolist():\n", " # print(f\"\\tProcessing flag: {f}...\")\n", "\n", " mat = convertToMatrix(\n", " pairs_features_df=dataframe_spatialfeatures[dataframe_spatialfeatures.flag == f], value=feat, cluss=np.array(info_df.timepoint.tolist())\n", " )\n", "\n", " mat = mat.astype(np.float64)\n", " combined_ent_mat0.append(mat)\n", "\n", " mean_combined_mats[feat] = np.nanmean(combined_ent_mat0, axis=0)\n", " std_combined_mats[feat] = np.nanstd(combined_ent_mat0, axis=0)\n", " collection_combined_mats[feat] = (np.invert(np.isnan(combined_ent_mat0))).sum(axis=0)\n", "\n", " # Take out rows/columns that contain 1 or more NaN values\n", " mean_combined_mats[feat] = mean_combined_mats[feat][~np.isnan(mean_combined_mats[feat]).any(axis=1)][\n", " :, ~np.isnan(mean_combined_mats[feat]).any(axis=0)\n", " ]\n", "\n", " std_combined_mats[feat] = std_combined_mats[feat][~np.isnan(std_combined_mats[feat]).any(axis=1)][\n", " :, ~np.isnan(std_combined_mats[feat]).any(axis=0)\n", " ]\n", "\n", " if feat != \"entanglement\":\n", " rmsd_combined_mats[feat] = calculate_rmsd_matrix(combined_ent_mat0)\n", "\n", " list_of_flags = np.array(dataframe_spatialfeatures.flag.unique().tolist())[~np.isnan(rmsd_combined_mats[feat]).any(axis=1)]\n", "\n", " rmsd_combined_mats[feat] = rmsd_combined_mats[feat][~np.isnan(rmsd_combined_mats[feat]).any(axis=1)][\n", " :, ~np.isnan(rmsd_combined_mats[feat]).any(axis=0)\n", " ]\n", "\n", " rmsd_combined_mats[feat] = pd.DataFrame(rmsd_combined_mats[feat], index=list_of_flags, columns=list_of_flags)\n", "\n", " print(f\"Working on feature: {feat}... Done!\")\n", "\n", "del feat, combined_ent_mat0, f, mat, list_of_flags" ] }, { "cell_type": "markdown", "id": "72e1bc6f", "metadata": {}, "source": [ "#### clustermap and density distibution for RMSD values of COM distances and surface distances" ] }, { "cell_type": "code", "execution_count": 72, "id": "9891af5c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Creating clustermap for feature: coms_distance...\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Creating clustermap for feature: surface_distance...\n" ] }, { "data": { "image/png": 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5REePHlVeXp4k6YsvvpDD4dC4cePk5eX6Nbrs9VqwYIFycnI0ePBgl9fK29tbycnJzvMVtR+JFgC4wfHjx12SmtPdcsst6tWrl+666y7FxcVp0KBB+vjjj8/ry2O9evXO64L95s2bu9y3WCxq1qxZla9ns3fvXiUmJp7xerRu3dq5/VSnfxmUpIiICJfJI872PM2bNz/jy9HZnud8JCcna8GCBZo3b57+8Y9/KDw8XMeOHTvn6+/r66ubbrpJs2fP1pIlS7Rv3z7deuutZ61vtVr1+OOP6/fff9fBgwf1wQcfqHv37vr44481evTo84r3j84/SerQoYNatWqljz76yFn20UcfKTo62pngSCeHZI4bN855fV10dLRiYmKUk5PjvBapsrZv365NmzY5k9myW4sWLSTJORnEhf7d7N27V15eXmrWrJlLeXx8vMLDwy/o3EhKStLYsWP11ltvKTo6WikpKZo6dWqlX5OkpKQK101PT9ewYcMUGRmp4OBgxcTEqG/fvpLkjKPsB4rTlxM41eHDh5WTk6MZM2accQzKfswpOwblKXt9T/2BRJJatmz5h/vQt29fDRw4UBMnTlR0dLSuv/56zZw584xr884mOztb9913n+Li4hQQEKCYmBjna1jesTj9/aVs+G/Z+8vOnTvl5eV1zslytm/fLunkNZGnv17z588/52uF2oVrtACgmu3fv1+5ublnfKk7VUBAgJYsWaLFixfrm2++0bx58/TRRx/p8ssv1/z58ys0K1dVzCh3tkWV7XZ7tc0UdrbnMU6bOKM6RUdHO6fVTklJUatWrXTttdfq1VdfPaOX5FS33nqrpk+frgkTJqhDhw4VnukwISFBgwYN0sCBA3XRRRfp448/1qxZsyp07VZFzr8yt9xyi5599lkdOXJEISEh+uqrrzR48GCX57n33ns1c+ZM3X///erRo4fCwsJksVg0aNCgP0xwKno+ORwOtWvXTq+88kq59Rs0aCCp8n83Zi8a/vLLL2vYsGH68ssvNX/+fP39739XWlqali9frvr1659z/8+mon/Xdrtdf/rTn5Sdna1HHnlErVq1UlBQkA4cOKBhw4ad1482ZXVvv/32M67ZK1NVywWULaa+fPlyff311/r+++9155136uWXX9by5csVHBx8zsfffPPNWrp0qR566CF17NhRwcHBcjgcuuqqq8p9Dcx4fylr97333lN8fPwZ26t6hll4Do40AFSz9957T5KckwmcjZeXl6644gpdccUVeuWVV/Tcc8/p8ccf1+LFi9WvXz/TvxSW/QpbxjAM7dixw+ULVERERLnD1Pbu3asmTZo4759PbI0aNdIPP/yg/Px8l16WskV4yyaCqKxGjRrpt99+k8PhcOnVMvt5JKl///7q27evnnvuOf31r3896+KxvXv3VsOGDfXjjz+6XGxfUb6+vmrfvr22b9+uI0eOlPul7nQVPf+kk4nWxIkT9emnnyouLk55eXkaNGiQS51PPvlEQ4cO1csvv+wsKyoqqtBwxoqeT02bNtX69et1xRVX/OG59Ud/N+Vp1KiRHA6Htm/f7uzhlE5OAJGTk1Opc6Ndu3Zq166dnnjiCS1dulS9evXS9OnTncNAJZ3xGlSmd7XMhg0btG3bNr3zzju64447nOULFixwqVf2Om/cuPGsbZXNFGi32y9ona6y13fnzp0uvVhbt26tcBvdu3dX9+7d9eyzz2r27Nm67bbb9OGHH+quu+466zlx7NgxLVy4UBMnTtS4ceOc5ae/152Ppk2byuFwaPPmzWddv7Cs5y42NrbGr2uGymHoIABUo0WLFunpp59WUlKSbrvttrPWy87OPqOs7EO9bMhM2Zf3870+52zeffddl+t2PvnkEx06dEhXX321s6xp06Zavny5iouLnWVz5849Yxr484ntmmuukd1u1+uvv+5SPmnSJFksFpfnr4xrrrlGGRkZLkPhSktL9dprryk4ONg5pMosjzzyiI4ePao333zzrHUsFoumTJmi8ePHa8iQIWett337dqWnp59RnpOTo2XLlikiIqJCMyNW9Pwr07p1a7Vr104fffSRPvroIyUkJKhPnz4udby9vc/4tf+11147Z69MmYqeTzfffLMOHDhQ7mt54sQJFRQUSKrY3015rrnmGknS5MmTXcrLetAqMjve6fLy8lRaWupS1q5dO3l5eTljCQ0NVXR0tJYsWeJS74033jjv5ztdWc/MqcfGMAy9+uqrLvViYmLUp08fvf3222ecY2WP9fb21sCBA/Xpp5+Wm5AdPnz4nLGU/Q1PmTLFpfz017s8x44dO+P8Ov2Yls1sefr7TXmvQUWf92wGDBggLy8vPfXUU2f0iJU9T0pKikJDQ/Xcc8+Ve13ZH71eqD3o0QKAKvLdd99py5YtKi0tVWZmphYtWqQFCxaoUaNG+uqrr+Tv73/Wxz711FNasmSJ+vfvr0aNGikrK0tvvPGG6tevr969e0s6+SU1PDxc06dPV0hIiIKCgpScnHxe13CcKjIyUr1799bw4cOVmZmpyZMnq1mzZi5TgN9111365JNPdNVVV+nmm2/Wzp079f77759x7cX5xPbnP/9Zl112mR5//HHt2bNHHTp00Pz58/Xll1/q/vvvP6PtCzVy5Ej985//1LBhw7RmzRo1btxYn3zyiX755RdNnjz5D69ZOl9XX3212rZtq1deeUWjRo0660LN119/va6//vpztrV+/Xrdeuutuvrqq3XJJZcoMjJSBw4c0DvvvKODBw9q8uTJZwx5qsz5d6pbbrlF48aNk7+/v0aMGHHGNW7XXnut3nvvPYWFhalNmzZatmyZfvjhhwqt7VXR82nIkCH6+OOP9X//939avHixevXqJbvdri1btujjjz/W999/ry5dulTo76Y8HTp00NChQzVjxgzl5OSob9++Wrlypd555x0NGDBAl112WYVeq1MtWrRIo0eP1k033aQWLVqotLRU7733njNpOfU1eP7553XXXXepS5cuWrJkibZt23bez3e6Vq1aqWnTpnrwwQd14MABhYaG6tNPPy33WsYpU6aod+/euvjiizVy5EglJSVpz549+uabb7Ru3TpJ0vPPP6/FixcrOTlZd999t9q0aaPs7GytXbtWP/zwQ7lJbpmOHTtq8ODBeuONN5Sbm6uePXtq4cKF2rFjxx/uxzvvvKM33nhDN9xwg5o2bar8/Hy9+eabCg0NdSbIAQEBatOmjT766CO1aNFCkZGRatu2rdq2bas+ffroxRdfVElJierVq6f58+dr9+7dF/aiSmrWrJkef/xxPf3007rkkkt04403ymq1atWqVUpMTFRaWppCQ0M1bdo0DRkyRBdffLEGDRqkmJgYpaen65tvvlGvXr3O+GEJtZQbZjoEgFqtbHrispufn58RHx9v/OlPfzJeffVVl2nEy5w+vfvChQuN66+/3khMTDT8/PyMxMREY/Dgwca2bdtcHvfll18abdq0MXx8fFymiT59evBTnW169w8++MBITU01YmNjjYCAAKN///7lTh/+8ssvG/Xq1TOsVqvRq1cvY/Xq1We0ea7YTp/e3TBOToc8ZswYIzEx0fD19TWaN29uvPTSSy7TSxuGUe6U6YZx9mnCT5eZmWkMHz7ciI6ONvz8/Ix27dqVO7X2+U7vfra6s2bNctn3U6d3P5fTj19mZqbx/PPPG3379jUSEhIMHx8fIyIiwrj88suNTz75xOWxF3L+ncv27dudbf38889nbD927JjzNQ0ODjZSUlKMLVu2nHFMypve3TAqfj4VFxcbL7zwgnHRRRcZVqvViIiIMDp37mxMnDjRyM3NNQyj4n835SkpKTEmTpxoJCUlGb6+vkaDBg2M1NRUo6ioyKVeRad337Vrl3HnnXcaTZs2Nfz9/Y3IyEjjsssuM3744QeXeoWFhcaIESOMsLAwIyQkxLj55puNrKyss07vXt7U9Web3n3z5s1Gv379jODgYCM6Otq4++67ncshnH7eb9y40bjhhhuM8PBww9/f32jZsqXx5JNPutTJzMw0Ro0aZTRo0MDw9fU14uPjjSuuuMKYMWPGH74eJ06cMP7+978bUVFRRlBQkPHnP//Z2Ldv3x9O77527Vpj8ODBRsOGDQ2r1WrExsYa1157rbF69WqX9pcuXWp07tzZ8PPzc2lz//79zv0KCwszbrrpJuPgwYMVfn1Pj6fM22+/bXTq1Ml5Lvbt29dYsGCBS53FixcbKSkpRlhYmOHv7280bdrUGDZs2Bmxo/ayGIYbrx4GAAAAgFqIa7QAAAAAwGQkWgAAAABgMhItAAAAADAZiRYAAAAAmIxECwAAAABMRqIFeBDDMJSXl3fG4ooAAACoWUi0AA+Sn5+vsLAw5efnuzsUAAAAVAKJFgAAAACYjEQLAAAAAExGogUAAAAAJiPRAgAAAACTkWgBAAAAgMlItAAAAADAZCRaAAAAAGAyH3cHAAAA3CP3RIn2HytUYbFd4QG+Cg/0U1SQn7y8LO4ODQBqPBItAADqiMP5Ni3akqkFmzO1Yne28otKz6gTHuCry1rF6vJWsbqidawC/fiqAAAXwmIYhuHuIACclJeXp7CwMOXm5io0NNTd4QCoJdbszdaMJbu0YHOmDEmJYQFqEBGg8EA/hQX4ys/HS0Uldp0osSsjt0jp2YXKyrcpKshP9/VrrkFdG8rPh6sNAOB88K6JWmnq1Klq3Lix/P39lZycrJUrV56z/pw5c9SqVSv5+/urXbt2+vbbb122G4ahcePGKSEhQQEBAerXr5+2b9/uUue6665Tw4YN5e/vr4SEBA0ZMkQHDx40fd8AoKJW7s7WDW/8ooHTlmnVnmPq2yJGd/VO0l8611dykyi1jA9RfJi/IoP8lBgeoKYxwerVLFqDuzXU0B6NFBtq1fivNunSfyzWLzuOuHt3AKBGIdFCrfPRRx9p7NixGj9+vNauXasOHTooJSVFWVlZ5dZfunSpBg8erBEjRujXX3/VgAEDNGDAAG3cuNFZ58UXX9SUKVM0ffp0rVixQkFBQUpJSVFRUZGzzmWXXaaPP/5YW7du1aeffqqdO3fqL3/5S5XvLwCcbu/RAv3fe2t08z+X6VBOkf7cPkG3JzdU+/rhFR4KGB7opyvbxOu2bg3l4+Wl299aoSkLt8vhYCAMAFQEQwdR6yQnJ6tr1656/fXXJUkOh0MNGjTQvffeq0cfffSM+rfccosKCgo0d+5cZ1n37t3VsWNHTZ8+XYZhKDExUQ888IAefPBBSVJubq7i4uI0a9YsDRo0qNw4vvrqKw0YMEA2m02+vr7l1rHZbLLZbM77eXl5atCgAUMHAVyQErtDM5bs0uQftinA11s9/ttrZbFUbnILh2Fo5e5srdydrd7No/XGbRcrxL/89zUAwEn0aKFWKS4u1po1a9SvXz9nmZeXl/r166dly5aV+5hly5a51JeklJQUZ/3du3crIyPDpU5YWJiSk5PP2mZ2drb+/e9/q2fPnmdNsiQpLS1NYWFhzluDBg0qvK8AcKoN+3N17Ws/6x/zt6p9vXDd3r2RWiWEVjrJkiQvi0Xdm0Tp+o6JWrUnW0P+tVL5RSUmRA0AtReJFmqVI0eOyG63Ky4uzqU8Li5OGRkZ5T4mIyPjnPXL/q1Im4888oiCgoIUFRWl9PR0ffnll+eMNzU1Vbm5uc7bvn37/ngnAeAUJXaHJv+wTddP/VnHCoo1qEsD9W4eLV9v8z/iG0UF6fqO9bQlI0+3/2uF8ki2AOCsSLQAEz300EP69ddfNX/+fHl7e+uOO+7QuUbnWq1WhYaGutwAoKJ2Hj6uG99YqikLt6tL40jd3KWBYkP9q/Q540P9NaBjPW3NyNeQt1boRLG9Sp8PAGoqEi3UKtHR0fL29lZmZqZLeWZmpuLj48t9THx8/Dnrl/1bkTajo6PVokUL/elPf9KHH36ob7/9VsuXL6/UPgHA6QzD0PvL9+qaV/+jAzkndFPnBurRJEre1bTQcNx/k63Nh/L10Jz15/xBCQDqKhIt1Cp+fn7q3LmzFi5c6CxzOBxauHChevToUe5jevTo4VJfkhYsWOCsn5SUpPj4eJc6eXl5WrFixVnbLHteSS6TXQBAZR05btOId1briS82qkVciAZ1baD4sKrtxSpPXKi//tQmVnM3HNLUxTuq/fkBwNOx3DtqnbFjx2ro0KHq0qWLunXrpsmTJ6ugoEDDhw+XJN1xxx2qV6+e0tLSJEn33Xef+vbtq5dffln9+/fXhx9+qNWrV2vGjBmSJIvFovvvv1/PPPOMmjdvrqSkJD355JNKTEzUgAEDJEkrVqzQqlWr1Lt3b0VERGjnzp168skn1bRp03MmYwBwPn7YnKmHP/1NthK7/tw+QU1igt0aT/PYECUnFesf87epeVyIUi4qf+QAANRFJFqodW655RYdPnxY48aNU0ZGhjp27Kh58+Y5J7NIT0+Xl9f/OnN79uyp2bNn64knntBjjz2m5s2b64svvlDbtm2ddR5++GEVFBRo5MiRysnJUe/evTVv3jz5+5/8FTkwMFCfffaZxo8fr4KCAiUkJOiqq67SE088IavVWr0vAIBap8BWqme+2awPVu5Tk+ggXd6pnoKsnvERnpwUqeyCYo39eJ3m3ddHDSID3R0SAHgE1tECPEheXp7CwsJYRwuA09IdR/TgJ+t1OL9YlzSPVttEc6ZsN5Ot1K4PVu5T89hgffTXHtV2rRgAeDKu0QIAwAPlFZXoic836Na3VsjbYtFtyQ3Vrl6YxyVZkmT18dafWsdpzd5jmv7TTneHAwAewTPGHQAAAEknZxT8ZsMhTfhqk/JOlOrSFjFqX98zE6xT1YsIUOdGEXplwTb1aR6jdvXD3B0SALgVPVoAAHiI7Zn5uuPtlRo9+1eFB/rp9u4N1aFBuMcnWWW6N4lSdLCfxn68TiV2h7vDAQC3ItECAMDNjh636YkvNihl8hJtPJCrP7dPUP92CQrx93V3aOfF28uiy1vFaufh43rzP7vcHQ4AuBVDBwEAcJNjBcWa8Z9dmvXLHhky1KtptNo3CJOPV839HTQ2xF8dG4Rr8g/bdW27RDWMYhZCAHUTiRYAANXsUO4JzVq6R+8u2yu73VC7+mHq3DBCAX7e7g7NFMlJUdp5uECPf7FB797ZrcYMfQQAM5FoAQBQDQzD0Lp9OXpn6R59/dsh+XhZ1LZemC5uGK5Av9r1cezn46U+LaL19fpDmvvbIf25Q6K7QwKAale73tkBAPAwxwqK9dX6g5q9Yq+2Zh5XeICvejWN0kWJYfLzqblDBP9Ik+hgNYsN1jPfbFa/1nG1prcOACqKRAsAAJMVldj149Ysfbr2gBZvyZLDMNQkJljXd0xUw8hAedWRoXS9mkbp/RXpmrFkl+7r19zd4QBAtSLRAgDABCV2h37ecURfrzuoeZsyVFhsV3yov3o2jVKLuBAFWeveR254oJ86NgjXtJ926Oau9ZUQFuDukACg2tS9d30AAEzicBhavvuovl5/UN/8dkh5RaWKCvJTu3phahEXosggP3eH6HZdG0doS0aeXvhuiyYP6uTucACg2pBoAQBwnnZkHdcna/br81/3KzPPpvBAX7WIC1GLuBBFB/sxy94prD7e6p4UpS/WHdSwXknq2CDc3SEBQLWwGIZhuDsIACfl5eUpLCxMubm5Cg0NdXc4AE5hK7Xruw0Z+veKvVq155gC/LzVLCZYrRNCFB/qT3J1Dg7D0Icr96lJTJA+HNmd1wpAnUCPFgAA55BbWKL3V+zV27/s1tHjxWoYGairLopX09igGr2wcHXysljUvWmkvl5/SD9tO6xLW8a6OyQAqHIkWgAAlCP3RIneXLJL//plt0pKHWqVEKJr2iZw3dUFSooKUv2IAKV9t0V9msfIy4teLQC1G4kWAACnsJXaNeuXPZq6eIdOlNjVvn64OjUIr5OzBprJYrGoZ9Mofbx6v75af1ADOtVzd0gAUKX41AAA4L+WbDusJ7/YqH3HCtU2MUzdkiJJsEyUEBagpjFBeun7rbqmXUKtXrAZAHiHAwDUeUeP2/S3f6/VHW+vlMMwdGu3hrqsVSxJVhXo0SRKB3NO6KPV+9wdCgBUKT5BAAB12g+bM/XIp7/pRIldKW3i1DI+hFnxqlBUsFUt40P02sLtuqlzffn7ers7JACoEvRoAQDqpKISu1I/+013vbtaYQG+urVbQ7VKCCXJqgbdkiJ15LhNs1ekuzsUAKgyJFoAgDon/WihbnhjqT5Zs1+Xt4rVte0TGCZYjSIC/dQqPvTkhCPFdneHAwBVgkQLAFCnLNqSqWum/EcZuSd0U+cGalcvjF4sN+iWFKljhcV6b/ked4cCAFWCRAsAUCcYhqG3/rNLI2atVlyoVbd0aaCYEKu7w6qzwgJ8dVFiqN5YvFMFtlJ3hwMApiPRAgDUeiV2h1I/26BnvvldFzeKUP92CbIyCYPbdWkcqXxbqd5bvtfdoQCA6Ui0AAC1WoGtVMNnrtKcNfv1p9Zx6t0smqGCHiLU31dtEkI0/Sd6tQDUPiRaAIBa68hxm26ZsUyr9mTr+g6JapMY6u6QcJoujSKVX1Sq9+nVAlDLkGgBAGqlfdmFuvGNpdpzpFADL66vBpGB7g4J5QgN8FXr//ZqFRbTqwWg9iDRAgDUOtsz83XjtKXKLyrRXzrXZ9ILD9e1UaRyT5TQqwWgViHRAgDUKhv25+ov05dJhjTw4voKC/B1d0j4A6EBvmqTEKppP+5kXS0AtQaJFgCg1li9J1uD3lymQD9v3XhxPRYhrkG6ND7ZqzV7Zbq7QwEAU5BoAQBqhaU7juj2f61QZKCfBnSsJ3+mb69RwgJ81So+RNN+3KGiEnq1ANR8JFoAgBpv8ZYsDZ25UvGh/vpzh0T5+fDxVhN1aRypowXF+nj1PneHAgCVxicRAKBG+27DId397mo1jAxU//YJ8vXmo62migj0U8u4EE1dvEO2Unq1ANRsfBoBAGqsz9bu16jZa9U0JlhXt02QjxcfazVd18aRysqz6ZM1+90dCgBUCp9IAIAa6f3lezX24/VqnRCqKy+Kk7eXxd0hwQSRQX5qHhesqYt3qMTucHc4AHDBSLQAADWKYRiauniHnvhiozrWD9cVrWLlZSHJqk26No7UwZwiff7rAXeHAgAXjEQLAFBjGIahZ7/5XS99v1XdkyLVp0W0LCRZtU50sFXNYoP12sLtKqVXC0ANRaIFAKgRiksdeuDj9Xrr5926tEWMkptEkWTVYl0bR2jfsRP6av1Bd4cCABeERAsA4PHyiko0bOZKfbn+oK66KF4dGoS7OyRUsdgQfzWJDtKUhdtldxjuDgcAzhuJFgDAox3MOaG/TFuqtenHNKBjolrGh7g7JFSTrkmR2nO0UHN/o1cLQM1DogUA8Fir9mTr2td+VmaeTX+5uL7qRwS6OyRUo/hQfyVFBWrKwu1y0KsFoIYh0QIAeKTZK9I1eMZyBfl56+Yu9RUVbHV3SHCDrkmR2nm4QN9uPOTuUADgvJBoAQA8SoGtVGM/WqfHPt+gixJDdX3Hegr083F3WHCThLAANY4K1OQf6NUCULOQaAEAPMbGA7m65tX/aO5vh3Rlmzhd2jKWhYihro0jtSPruOZtynB3KABQYSRaqJWmTp2qxo0by9/fX8nJyVq5cuU568+ZM0etWrWSv7+/2rVrp2+//dZlu2EYGjdunBISEhQQEKB+/fpp+/btzu179uzRiBEjlJSUpICAADVt2lTjx49XcXFxlewfUNuU2B16beF23fDGLyoqtWtQtwZqnRDq7rDgIRLDA9QoMlCv/rCNXi0ANQaJFmqdjz76SGPHjtX48eO1du1adejQQSkpKcrKyiq3/tKlSzV48GCNGDFCv/76qwYMGKABAwZo48aNzjovvviipkyZounTp2vFihUKCgpSSkqKioqKJElbtmyRw+HQP//5T23atEmTJk3S9OnT9dhjj1XLPgM12cYDubrutZ816Ydt6lA/XH/pXF8RgX7uDgsepmtSpLZmHtf8zfRqAagZLIZh8NMQPMKuXbvUpEmTSreTnJysrl276vXXX5ckORwONWjQQPfee68effTRM+rfcsstKigo0Ny5c51l3bt3V8eOHTV9+nQZhqHExEQ98MADevDBByVJubm5iouL06xZszRo0KBy43jppZc0bdo07dq166yx2mw22Ww25/28vDw1aNBAubm5Cg3l13zUbtkFxXpl/lbNXpmu6GCrrmgVq9hQf3eHBQ/2+a8H5O/rpXn39ZEXQ0oBeDh6tOAxmjVrpssuu0zvv/++s6fofBUXF2vNmjXq16+fs8zLy0v9+vXTsmXLyn3MsmXLXOpLUkpKirP+7t27lZGR4VInLCxMycnJZ21TOpmMRUZGnjPetLQ0hYWFOW8NGjT4w30EarqiErv+9fNu9X1psT5Zu1+9mkXr5i4NSLLwh5KTIrUtk2u1ANQMJFrwGGvXrlX79u01duxYxcfH669//esfXlt1uiNHjshutysuLs6lPC4uThkZ5X8wZ2RknLN+2b/n0+aOHTv02muv6a9//es5401NTVVubq7ztm/fvnPWB2qyErtDs1ekq+9Li/XMN5vVKCpQQ7o30sUNI5jwAhWSGB6gRlGBemUB12oB8HwkWvAYHTt21KuvvqqDBw/q7bff1qFDh9S7d2+1bdtWr7zyig4fPuzuECvkwIEDuuqqq3TTTTfp7rvvPmddq9Wq0NBQlxtQ25wotuudpXvU58XFevzzDQoP8NOQ7o10Ras4pm3HeUtOOjkD4TcbWFcLgGcj0YLH8fHx0Y033qg5c+bohRde0I4dO/Tggw+qQYMGuuOOO3To0Nk/XKOjo+Xt7a3MzEyX8szMTMXHx5f7mPj4+HPWL/u3Im0ePHhQl112mXr27KkZM2ZUbIeBWupYQbFeW7hdPZ9fqIlfb1JYgK9uTW6oq9rGM9kFLljZulqTftgmO71aADwYiRY8zurVq/W3v/1NCQkJeuWVV/Tggw9q586dWrBggQ4ePKjrr7/+rI/18/NT586dtXDhQmeZw+HQwoUL1aNHj3If06NHD5f6krRgwQJn/aSkJMXHx7vUycvL04oVK1zaPHDggC699FJ17txZM2fOlJcXf16om/YeLdC4Lzeqe9pCvbpou+pHBOqOHo2VclG8ooOt7g4PtUByUpR2HS7Q1+sPujsUADgrxmzAY7zyyiuaOXOmtm7dqmuuuUbvvvuurrnmGmfCkpSUpFmzZqlx48bnbGfs2LEaOnSounTpom7dumny5MkqKCjQ8OHDJUl33HGH6tWrp7S0NEnSfffdp759++rll19W//799eGHH2r16tXOHimLxaL7779fzzzzjJo3b66kpCQ9+eSTSkxM1IABAyT9L8lq1KiR/vGPf7gMczxbTxpQ2/y2P0f//GmXvtt4SAG+3urUIFzt64crwM/b3aGhlokP81eT6CC9smCb+rdPkK83P2wB8DwkWvAY06ZN05133qlhw4YpISGh3DqxsbH617/+dc52brnlFh0+fFjjxo1TRkaGOnbsqHnz5jkns0hPT3fpberZs6dmz56tJ554Qo899piaN2+uL774Qm3btnXWefjhh1VQUKCRI0cqJydHvXv31rx58+Tvf3KWtAULFmjHjh3asWOH6tev7xIPKyigtlubfkyTF2zTku1HFBHoq74tYtQmIVQ+fPlFFereJEqzV6br0zX7NahbQ3eHAwBnYB0teIw9e/aoYcOGZwy5MwxD+/btU8OGtf+DNC8vT2FhYayjhRphS0ae0r7dop+2HVZ0sJ+6NIpU87hgeVmYQRDV47uNh5R3olQ/PXyprD70nALwLPzcCI/RtGlTHTly5Izy7OxsJSUluSEiAOXJyi/SI5/+pmte/Y82HMjV1W3jdWu3hmoZH0KShWqVnBSlzPwifbAi3d2hAMAZGDoIj3G2ztXjx487h+gBcB/DMPTRqn165pvfZXcYuqR5jNrVC2MNLLhNZJCfWsWH6LVFO3Rz1wYsFwDAo/COBLcbO3aspJOTTowbN06BgYHObXa7XStWrFDHjh3dFB0ASUo/WqiHP1mv5buz1SYhVJc0j5a/L0O14H7dk6L07vK9evvn3Rp9eXN3hwMATiRacLtff/1V0slfyzds2CA/v/+tr+Pn56cOHTrowQcfdFd4QJ333YZDevCT9fL18tINneqpYWTgHz8IqCahAb5qVy9M037aqduSGykiiDXaAHgGJsOAxxg+fLheffXVOj0JBJNhwJMUlzr03Le/a9bSPWoeG6wrWscy4QA8UmFxqd5dtldDujfSE9e2cXc4ACCJRAvwKCRa8BS5hSW6+93VWpN+TJc0i1b7+mGyMNEFPNiKXUe1Jv2YfnzoMtULD3B3OADA0EG414033qhZs2YpNDRUN9544znrfvbZZ9UUFVC37csu1NCZK3Uop0g3dKrHl1bUCJ0aRmjDwVxNWrBV/7ipo7vDAQASLbhXWNj/fiUPCwtzczQAtmTk6ba3VsjuMHRT5/pc74Iaw8/HS10bRerTNQc0oncTtU5gVAAA92LoIOBBGDoId/r9UJ4Gv7lcVh8vXdchkamyUePYHYZmr0xXm4RQvX9XsrvDAVDHsWAxPMaJEydUWFjovL93715NnjxZ8+fPd2NUQN1wapI1oGM9kizUSN5eFvVsGqWfdxzRT9sOuzscAHUciRY8xvXXX693331XkpSTk6Nu3brp5Zdf1vXXX69p06a5OTqg9tp5+LhLksX6WKjJmkQHqX5EgJ6Zu1l2B4N2ALgPiRY8xtq1a3XJJZdIkj755BPFx8dr7969evfddzVlyhQ3RwfUTln5RRryrxXy8bKQZKFWsFgs6tU0WtuzjmvO6n3uDgdAHUaiBY9RWFiokJAQSdL8+fN14403ysvLS927d9fevXvdHB1Q+xy3lWro26uUX1Sq6zokkmSh1ogP81er+BC99P1W5ReVuDscAHUUiRY8RrNmzfTFF19o3759+v7773XllVdKkrKyspgYAjBZqd2he95fo12Hj+vP7RMV4u/r7pAAU/VsGqW8ohJNXbzT3aEAqKNItOAxxo0bpwcffFCNGzdWcnKyevToIelk71anTp3cHB1Qu7wwb4t+2XFE17RLUEyI1d3hAKYL8ffVxQ0j9K+fd2nv0QJ3hwOgDmJ6d3iUjIwMHTp0SB06dJCX18nfAVauXKnQ0FC1atXKzdFVPaZ3R3X44tcDuv+jderbIkYdG4S7OxygypTYHXp/+V4lN4nSm3d0cXc4AOoYEi3Ag5BooaptPJCrG6ctVdOYIP2pdZxzwXCgttqaka95mzL077uS1atZtLvDAVCHkGjBYxQUFOj555/XwoULlZWVJYfD4bJ9165dboqs+pBooSrlnijR1a8ukcMhDby4nny8GT2O2s8wDH269oD8fb007/4+8uW8B1BNWJESHuOuu+7STz/9pCFDhighIYFf2gETGYahhz9Zr+yCYg3u2pAkC3WGxWJR3xYx+mBVumb9skd392ni7pAA1BEkWvAY3333nb755hv16tXL3aEAtc57y/fq+02ZurZ9gkIDmGEQdUtMiFXt64XplR+26bqOiYoL9Xd3SADqAH7ShMeIiIhQZGSku8MAap2NB3L19NzN6lg/XE1jgt0dDuAWPZpEyUvSs9/87u5QANQRJFrwGE8//bTGjRunwsJCd4cC1Boniu2694NfFRnkp17No9wdDuA2Vl9v9Wgapa/WH9SynUfdHQ6AOoDJMOAxOnXqpJ07d8owDDVu3Fi+vq7Dm9auXeumyKoPk2HAbE9+sVEfrErX4K4NFRnk5+5wALcyDEOfrN0vq4+35t1/iaw+3u4OCUAtxjVa8BgDBgxwdwhArfLj1iy9t3yvLm0RQ5IF6OTEGJe1jNUHK9M146dduveK5u4OCUAtRo8W4EHo0YJZjhUU60+TflKw1UfXdUhkFk/gFD/vOKLf9udowZi+ahwd5O5wANRSXKMFj5KTk6O33npLqampys7OlnRyyOCBAwfcHBlQszz55UYV2Oy6gkWJgTMkJ0Uq0M9Hj3+xQfzeDKCqkGjBY/z2229q0aKFXnjhBf3jH/9QTk6OJOmzzz5Tamqqe4MDapB5Gw9p7m+H1KdFtIKtjBAHTufr7aW+LWL0y46j+nLdQXeHA6CWItGCxxg7dqyGDRum7du3y9//f2ucXHPNNVqyZIkbIwNqjuyCYj32+UY1jQlSy7gQd4cDeKyk6CC1iAvR+K826ehxm7vDAVALkWjBY6xatUp//etfzyivV6+eMjIy3BARUPOM+3KjThTbdVnLWIYMAn+gb4toFZc6NPHrze4OBUAtRKIFj2G1WpWXl3dG+bZt2xQTE+OGiICa5ftNGc4hg0EMGQT+UKCfjy5pHq2v1h/Uoi2Z7g4HQC1DogWPcd111+mpp55SSUmJpJPT8Kanp+uRRx7RwIED3Rwd4NlyT5To8c83qEk0QwaB89EqPkSNowL12GcblV9U4u5wANQiJFrwGC+//LKOHz+umJgYnThxQn379lWzZs0UEhKiZ5991t3hAR4t7dvflV9UqktbxjBkEDgPZWtrZRcW69lvfnd3OABqEcaWwGOEhYVpwYIF+uWXX7R+/XodP35cF198sfr16+fu0ACPtnTnEX24ap8uaxmjEH9fd4cD1DihAb7q1TRKH67ap2vaJahPC4arA6g8Ei14BIfDoVmzZumzzz7Tnj17ZLFYlJSUpPj4eBmGwS/0wFkUldj1yCe/qX5EgNrVC3N3OECN1a5emHYePq6HP/lNC8b24UcLAJXG0EG4nWEYuu6663TXXXfpwIEDateunS666CLt3btXw4YN0w033ODuEAGPNfmH7TqUW6TLmWUQqBSLxaIrWsUxhBCAaejRgtvNmjVLS5Ys0cKFC3XZZZe5bFu0aJEGDBigd999V3fccYebIgQ806aDuZqxZKeSk6IUEeTn7nCAGu/UIYQpbeN1WctYd4cEoAajRwtu98EHH+ixxx47I8mSpMsvv1yPPvqo/v3vf7shMsBz2R2GHvn0N0UFWdW5UYS7wwFqjXb1wtQ4KlAPzVmvYwXF7g4HQA1GogW3++2333TVVVeddfvVV1+t9evXV2NEgOebtXSPNh3I02WtYuTtxZBBwCxlQwgLbHY9+cVGd4cDoAYj0YLbZWdnKy4u7qzb4+LidOzYsWqMCPBs+48V6h/fb1X7+mFKCAtwdzhArRPs76O+LWI0d8MhfbnugLvDAVBDkWjB7ex2u3x8zn65oLe3t0pLS6sxIsBzGYahxz/fKF9vi3o2jXZ3OECt1TI+RC3jQvT45xt1IOeEu8MBUAMxGQbczjAMDRs2TFartdztNputmiMCPNfXvx3ST9sO68/tE+Tnw29lQFW6tGWMPliZrjEfrtMHI7szTBfAeSHRgtsNHTr0D+sw4yAg5RQWa8JXm9Q8NlhNYoLdHQ5Q6/n7eutPbeL02doDmrFkl+65tKm7QwJQg5Bowe1mzpzp7hCAGuG5b39XYXGpbuxUz92hAHVG/YhAXdwoQi/P36rezaLVrj4LgwOoGMadAEAN8MuOI/p49X71bBqtICu/kQHVqUeTKEUF+2n07LUqsHHNMICKIdFCrTR16lQ1btxY/v7+Sk5O1sqVK89Zf86cOWrVqpX8/f3Vrl07ffvtty7bDcPQuHHjlJCQoICAAPXr10/bt293qfPss8+qZ8+eCgwMVHh4uNm7hDqsqMSuRz/9TfUjAtQ2MdTd4QB1jreXRSkXxetQbpHGf8WU7wAqhkQLtc5HH32ksWPHavz48Vq7dq06dOiglJQUZWVllVt/6dKlGjx4sEaMGKFff/1VAwYM0IABA7Rx4/8+TF988UVNmTJF06dP14oVKxQUFKSUlBQVFRU56xQXF+umm27SPffcU+X7iLpl8g/bdSi3SJe3jJXFwsX4gDtEBPqpb8sYfbLmAFO+A6gQi2EYhruDAMyUnJysrl276vXXX5ckORwONWjQQPfee68effTRM+rfcsstKigo0Ny5c51l3bt3V8eOHTV9+nQZhqHExEQ98MADevDBByVJubm5iouL06xZszRo0CCX9mbNmqX7779fOTk55x17Xl6ewsLClJubq9BQei4gbTyQq+te/1nJSVHqlhTp7nCAOs0wDM3fnKn07EJ9d98lahQV5O6QAHgwerRQqxQXF2vNmjXq16+fs8zLy0v9+vXTsmXLyn3MsmXLXOpLUkpKirP+7t27lZGR4VInLCxMycnJZ22zomw2m/Ly8lxuQJkSu0MPffKbooKt6twowt3hAHWexWLRpS1jZPXx0t/+vVa2Uru7QwLgwUi0UKscOXJEdrtdcXFxLuVxcXHKyMgo9zEZGRnnrF/27/m0WVFpaWkKCwtz3ho0aFCp9lC7zFiyS1sy8nR5q1jW7wE8hNXHW1ddFK8tGfl67pvf3R0OAA9GogW4UWpqqnJzc523ffv2uTskeIgdWcc1+YdturhBhOJD/d0dDoBTxIb665Jm0Xpn2V7N23jI3eEA8FAkWqhVoqOj5e3trczMTJfyzMxMxcfHl/uY+Pj4c9Yv+/d82qwoq9Wq0NBQlxtgdxh66JP1Crb6qHsTrssCPFH7+mFqHhusB+f8pvSjhe4OB4AHItFCreLn56fOnTtr4cKFzjKHw6GFCxeqR48e5T6mR48eLvUlacGCBc76SUlJio+Pd6mTl5enFStWnLVNoDLeWbpHv6bn6IpWcfLx5m0a8EQWi0VXtI6Vr7dF//f+GhWVcL0WAFd8gqPWGTt2rN5880298847+v3333XPPfeooKBAw4cPlyTdcccdSk1Ndda/7777NG/ePL388svasmWLJkyYoNWrV2v06NGSTn6Y3n///XrmmWf01VdfacOGDbrjjjuUmJioAQMGONtJT0/XunXrlJ6eLrvdrnXr1mndunU6fvx4te4/arbdRwr0wrwt6lA/TPUiAtwdDoBzsPp46+q2CdqWma+nvt7k7nAAeBgfdwcAmO2WW27R4cOHNW7cOGVkZKhjx46aN2+eczKL9PR0eXn97zeGnj17avbs2XriiSf02GOPqXnz5vriiy/Utm1bZ52HH35YBQUFGjlypHJyctS7d2/NmzdP/v7/u3Zm3Lhxeuedd5z3O3XqJElavHixLr300irea9QGdoehBz5epwA/b/VqFu3ucABUQEyIVX1bxmj2yn3q0jhSN15c390hAfAQrKMFeBDW0arb3vrPLj37ze8aeHF9erOAGsQwDP3we6Z2Hi7QF6N6qXUC798AGDoIAB5h5+HjevH7rerQIJwkC6hhLBaLLmsZq7AAX418d7VyC0vcHRIAD0CiBQBuVmJ36L4Pf1Ww1Uc9m0a5OxwAF8DH20vXtEvQkePFuu/DX+VwMGAIqOtItADAzV5buF2bD+bpT23i5Mssg0CNFRbgqysvitNP2w7r1YXb3R0OADfjEx0A3GjN3mN6ffEOdWscycLEQC3QOCpI3ZtE6dWF2zV/U4a7wwHgRiRaAOAmx22luv/DXxUX6q+ujVmYGKgtujaOULPYYN330Tptz8x3dzgA3IRECwDcZNwXG5WZb9Of2sTJy8vi7nAAmMRisehPreMU7OejEe+sVu4JJscA6iISLQBwg89/3a/Pfj2gS1vEKCLQz93hADCZn4+XrmkXr8P5No2evValdoe7QwJQzUi0AKCa7TlSoMc+36hW8SGstwPUYuGBfrq6bbx+2XFEz3zzu7vDAVDNSLQAoBrZSu0a/cFa+ft46bKWse4OB0AVaxAZqL4tYjRr6R69v3yvu8MBUI1ItACgGj09d7N+P5SvlIvi5efDWzBQF7SvH66ODcI07suN+mXHEXeHA6Ca8CkPANXky3UH9P7ydPVpHq04pnIH6pRLmsWoYWSg/vreGm1jJkKgTiDRAoBqsD0zX49+ukGt4kPUrl6Yu8MBUM28vCy6qm28Avy8NfTtlcrKL3J3SACqGIkWAFSxvKISjXxvjYKs3rq8VawsFqZyB+oiq4+3/tw+QcdtpRo+c5UKbKXuDglAFSLRAoAqZHcYuu+DX3Uo94SuaZsgX2/edoG6LMTfV39un6jtWcd1z/trVMK070CtxSc+AFShVxZs1Y9bDyulTbwiglgvC4AUE2JV/3YJ+mXnUT00Z70cDsPdIQGoAiRaAFBFvl5/UFMX71TPZlFqHB3k7nAAeJCGkYG6sk2cvlx3UM99yxpbQG3k4+4AAKA2WrM3W2M/XqdW8SHq3DDC3eEA8EAt4kJ0otiut37erfBAX42+vLm7QwJgIhItADDZ3qMFGvHOasWF+uuK1kx+AeDsOjQIl63UoX/M3yZ/X2/ddUkTd4cEwCQkWgBgopzCYg19e6W8LBZd0y5BPl6M0AZwbl0bR6jE7tAz3/yuAD9v3ZbcyN0hATABiRYAmKSwuFRDZ65UVr5NN3WurwBfb3eHBKAGsFgs6tk0SqUOQ49/vlEWWXRrckN3hwWgkki0AMAEtlK7Rr67Rr8fyteNneopPJAZBgFUnMViUZ/m0ZIMPfb5BpU6HLqjR2N3hwWgEki0AKCS7A5DYz5cp+W7juq6DomKC/V3d0gAaqCTyVaMLBaLxn25ScWlDq7ZAmowEi0AqAS7w9BDc9bru00Z6t8uQQ0iA90dEoAazGKx6JJm0fK2WPTMN7/rWGGxHryyJZPqADUQiRYAXCC7w9DDn6zX5+sOKKVNvJrGBLs7JAC1gMViUa9m0fL39dbUxTt1ON+m525oJx9vJtcBahISLQC4AHaHoUc+Xa/Pfj2ZZLWMD3F3SABqmc6NIhTo561P1uzX4XybpgzupBB/X3eHBaCC+GkEAM5TcalDf//gV3269oCubBNHkgWgyrROCNV1HRK1dOdR3fDGUqUfLXR3SAAqiEQLAM5DYXGp7npnleZtytA1bRPUKj7U3SEBqOUaRQXp5i4NdPS4TX9+/Wct3XnE3SEBqAASLQCooOyCYt325got35Wt6zokqlks12QBqB6RQX66qUsDhQX46va3VujVH7bL7jDcHRaAc7AYhsFfKeAh8vLyFBYWptzcXIWG0lPiSXYePq5hb69UdkGxrm2fqPgwpnAHUP0chqGVu7O1cne2ujeJ0uRBHVlSwiR5RSXampGvPUcKtO/YCR3MOaHcEyXKLSxWQbFdFovkbbHI39dbUcF+igzyU0JYgJpEB6lpbLCSooPky4QlOAWJFuBBSLQ807KdR/XX91bL18dLf26fqLAALkYH4F77sgs1f3OmLBZp/J8v0sCL6zEF/HmwOwz9fihPK3dna9WebP22P1cHck44twdbfRTq7yOrj7f8fLzk633ytTUkldgdKipxyFZqV96JEp0ocUiS/Hy81K5emLo0ilDPZtFKToqUv6+3O3YPHoJEC/AgJFqexTAMvf3LHj37zWbVjwjUNW3jZeVDE4CHKCqx66dth7UlI1+XtojR0wPaspbfOWTkFmnx1iwt2XZYP28/onxbqXy8LIoL9VdcqFUxwVZFh1gVHuBb4an0DcPQiRK7jhWUKDO/SBm5RcrMK1JeUan8fLzUPSlSV7dLUMpF8YoM8qviPYSnIdECPAiJlucoLC7VI5/8pq9/O6SLG4arV9NoeXnxazEAz7Pr8HH9uO2wikrsGtmnif52aTMFWVnBxzAMbT6UpwWbMzV/U6Y2H8qTxSIlhPmrQUSgGkQGKi7UKh8vc4f7GYah7IJi7c0u1N6jhdp3rFAWST2aRummzg2UclG8Avz40a4uINECPAiJlmfYfDBPoz9Yq/3ZJ3RF61i1iGP6dgCercTu0Oo9x7Q2/ZjCA3016rJmGtytYZ0buuZwGFqbfkzzNmbou40ZOpBzQv6+XmoYGagm0cFqFBVY7a9JYXGpdmQd1/as49p/7ISC/Lx1Xcd6ui25odrWC6vWWFC9SLQAD0Ki5V4Oh6GZS/fo+e9+V0SgH0M9ANQ4eSdKtHz3UW3JyFdkkJ/+r09T3dylgcICa++1pcWlDi3bdVTzN2Vo3sYMHS0oVrDVR0nRQWoaE6T6EYHy9pARCTmFxfr9UL5+z8hTflGp2tcP05DujfTnDol1LimuC0i0AA9CouU+6UcL9cinv2nZrqPq1CBcPZtFmT6cBACqS05hsVbtydaWjHz5+Xjphk71NLhbQ7WrF1YrJs04etymH7ce1qItWVq8NUuFxXaFB/oqKTpIzWKClRDm79H76XAY2n20QBsP5GrP0UKFB/rq9uRGur17I2a1rUVItAAPQqJV/ewOQ+8u26MX5m2R1cdbl7WMUaOoIHeHBQCmKLCVauPBXG0+mKe8olI1jAzUgI6JuvKieLVJCK0x154Wldi1Nv2Yft5+RP/ZfkQbD+TK0MnrrRpFBqppbLCigvw8Ork6m2OFxfptX65+z8hTqcNQ/3YJGtE7SR0ahLs7NFQSiRbgQUi0qteavcf05JcbtflgnjrUD1PPptHy86EXC0Dt43AY2nesUNsyj2vXkeMqKnEoMtBXfVrEqHuTKF3cKELNYoI9IvEyDEMHc4u0YX+O1u3L1crdR7XhQK5K7IaC/LxVLyJADSMD1TgqqFZN+mErtWvzwTxtOJCrY4UlurhhuO66pImubBNX4VkQ4VlItAAPQqJVPQ7lntA/vt+qT9ceUFyoVX1bxCghLMDdYQFAtbA7DB3KPaE9Rwu1/1ihsvJtMgwpyOqtlnEhap0QqhZxIWoYeXJmvnrhAVUyS15hcakOHDuhfccKlX60UDsPF2hrRr62ZuYr90SJJCnE30fxYf5KDAtQvfAARQfXzF6r8+EwDO0+UqD1+3K079gJJYT5a2jPxhrUtYHCA7luuCYh0QI8CIlW1copLNa0H3dq5tI98vGyqHtSlC6qFyqvWv6hDQDnUlzqUGZekTLyinT0eLGOFRbraEGx7I7/fUUM8vNWdLBVUcF+Cg/wVVignwL9vBXg6y1/X2/5eFvk42WRl5dFDochu0MqdThUVGLXiRK7Cm125ZwoUe6JEh3Jt+nwcZsKi+3O9r29LIoM9FN4kK8iA/0UG2JVbKi/gmtRj9WFOJxv06/7jmlb5nH5eFk0oFM9DeneiNkKawgSLcCDkGhVjeyCYr39827NWrpHxaUOdWwQrosbhcvqwwxPAFAeh2GowFaqvBOlyi8qUUGxXQW2UhWV2GUrdajY7lCp3aFSh6ESuyGHYcgwTg77s1gsslgkL8vJ5MvX2yIfby/5eXvJ6uMlfz9vBfn5KMjPWyH+vgoN8FGQ1Ycfvc6hsLhUGw/kadPBXOUVlapD/TDd3r2R+rdPUKBf3U5GPRmJFuBBSLTMtedIgWYt3aMPV6XL4ZDa1gvVxQ0jatWYfgBA3VE2W+GGA7nae7RQQVZvXd+xnm7u0kAd6teOGSVrExItwIOQaFVeqd2hJdsP671le/Xj1sMK8PNW28QwdWwYrgDWKAEA1BK5J0q0+WCetmScnFGyUVSgBl5cX9d1SFTjaGbP9QQkWoAHIdG6MIZhaGtmvr749aA+WbNPR44XKy7Eqnb1w9QyLoTZmgAAtZbDMLT/2AltycjTrsMFspU61DI+RNe2S9CVF8WrRVwwPV1uQqIFeBASrYpzOAxtPJirHzZn6uvfDmn3kQIF+HqreVyw2iSEKjbEygcLAKBOKbE7tPdoobZn5WvPkUIV2x1KCPPXn9rE6ZLmMUpuEqlQf193h1lnkGgBHoRE69z2HyvU8l3ZWrrziH7ckqXswhL5+3opKTpIzWNPTkXs7QFrwAAA4G6ldocO5JzQ7iMF2ptdqJzCEnlZpHb1w9Q9KUpdGkeqc6MIRQYxZXxVIdFCrTR16lS99NJLysjIUIcOHfTaa6+pW7duZ60/Z84cPfnkk9qzZ4+aN2+uF154Qddcc41zu2EYGj9+vN58803l5OSoV69emjZtmpo3b+6sk52drXvvvVdff/21vLy8NHDgQL366qsKDg6ucNwkWv+Te6JEWw6dXLjx1/QcrU0/pkO5RZKk2BCrGkQGKikqSPFh/iRXAAD8gdwTJUrPPrl2WkZukfKKSiVJiWH+6tAgXG3rnRxu3zI+RPXCAzxi8eqajkQLtc5HH32kO+64Q9OnT1dycrImT56sOXPmaOvWrYqNjT2j/tKlS9WnTx+lpaXp2muv1ezZs/XCCy9o7dq1atu2rSTphRdeUFpamt555x0lJSXpySef1IYNG7R582b5+/tLkq6++modOnRI//znP1VSUqLhw4era9eumj17doVjr2uJ1oliuw7kFGr/sRPal12oXUcKtOu/C1Zm5J1Mqny8LIoL9VdsiFWJ4QGqFxHApBYAAFSCYRjKLyrVodwiZeUXKSvfpiPHbSoqcUiS/H291CgySE1jg9QwMkj1I05+/iaE+Ss+1F9hAb4Mz68AEi3UOsnJyeratatef/11SZLD4VCDBg1077336tFHHz2j/i233KKCggLNnTvXWda9e3d17NhR06dPl2EYSkxM1AMPPKAHH3xQkpSbm6u4uDjNmjVLgwYN0u+//642bdpo1apV6tKliyRp3rx5uuaaa7R//34lJiaWG6vNZpPNZnPez83NVcOGDbVv3z6PTrQMw1Cx3aESu6HiUoeKS+0qKnWoqPjkwpQnSuwqsNl1vKhE+bZS5Z8oVc6JYh0rKFZ2QYmy8ot05LhNx23/W6zSyyKFB/gqNMBX4YF+igr2VVSQVeEBfvRYAQBQxQzD0PHiUmUfL9axEyXKKSxWftHJddTyi0p1yvrV8vXxUkSAr6KC/f67iLWfwgJ8FeLvqxB/bwVbT66NFujno0Bfb1l9veT/33/9vL3k5+MtPx+v/66z5lVjP+dDQkLOmXCymAxqleLiYq1Zs0apqanOMi8vL/Xr10/Lli0r9zHLli3T2LFjXcpSUlL0xRdfSJJ2796tjIwM9evXz7k9LCxMycnJWrZsmQYNGqRly5YpPDzcmWRJUr9+/eTl5aUVK1bohhtuKPe509LSNHHixDPKGzRoUOF9rk32ujsAAACACvqjEUgkWqhVjhw5Irvdrri4OJfyuLg4bdmypdzHZGRklFs/IyPDub2s7Fx1Th+W6OPjo8jISGed8qSmprokeQ6HQ9nZ2YqKinJrl3xeXp4aNGjg8T1rOH8c29qLY1t7cWxrL45tzRYSEnLO7SRagBtZrVZZrVaXsvDwcPcEU47Q0FDe+Gspjm3txbGtvTi2tRfHtnZiFU/UKtHR0fL29lZmZqZLeWZmpuLj48t9THx8/Dnrl/37R3WysrJctpeWlio7O/uszwsAAIDai0QLtYqfn586d+6shQsXOsscDocWLlyoHj16lPuYHj16uNSXpAULFjjrJyUlKT4+3qVOXl6eVqxY4azTo0cP5eTkaM2aNc46ixYtksPhUHJysmn7BwAAgJqBoYOodcaOHauhQ4eqS5cu6tatmyZPnqyCggINHz5cknTHHXeoXr16SktLkyTdd9996tu3r15++WX1799fH374oVavXq0ZM2ZIkiwWi+6//34988wzat68uXN698TERA0YMECS1Lp1a1111VW6++67NX36dJWUlGj06NEaNGjQWWcc9GRWq1Xjx48/Y1gjaj6Obe3Fsa29OLa1F8e2dmN6d9RKr7/+unPB4o4dO2rKlCnOnqVLL71UjRs31qxZs5z158yZoyeeeMK5YPGLL75Y7oLFM2bMUE5Ojnr37q033nhDLVq0cNbJzs7W6NGjXRYsnjJlynktWAwAAIDagUQLAAAAAEzGNVoAAAAAYDISLQAAAAAwGYkWAAAAAJiMRAsAAAAATEaiBeAMU6dOVePGjeXv76/k5GStXLnS3SHhHNLS0tS1a1eFhIQoNjZWAwYM0NatW13qFBUVadSoUYqKilJwcLAGDhx4xiLc6enp6t+/vwIDAxUbG6uHHnpIpaWl1bkr+APPP/+8c8mJMhzbmuvAgQO6/fbbFRUVpYCAALVr106rV692bjcMQ+PGjVNCQoICAgLUr18/bd++3aWN7Oxs3XbbbQoNDVV4eLhGjBih48ePV/eu4BR2u11PPvmkkpKSFBAQoKZNm+rpp5/WqfPPcWzrBhItAC4++ugjjR07VuPHj9fatWvVoUMHpaSkKCsry92h4Sx++uknjRo1SsuXL9eCBQtUUlKiK6+8UgUFBc46Y8aM0ddff605c+bop59+0sGDB3XjjTc6t9vtdvXv31/FxcVaunSp3nnnHc2aNUvjxo1zxy6hHKtWrdI///lPtW/f3qWcY1szHTt2TL169ZKvr6++++47bd68WS+//LIiIiKcdV588UVNmTJF06dP14oVKxQUFKSUlBQVFRU569x2223atGmTFixYoLlz52rJkiUaOXKkO3YJ//XCCy9o2rRpev311/X777/rhRde0IsvvqjXXnvNWYdjW0cYAHCKbt26GaNGjXLet9vtRmJiopGWlubGqHA+srKyDEnGTz/9ZBiGYeTk5Bi+vr7GnDlznHV+//13Q5KxbNkywzAM49tvvzW8vLyMjIwMZ51p06YZoaGhhs1mq94dwBny8/ON5s2bGwsWLDD69u1r3HfffYZhcGxrskceecTo3bv3Wbc7HA4jPj7eeOmll5xlOTk5htVqNT744APDMAxj8+bNhiRj1apVzjrfffedYbFYjAMHDlRd8Din/v37G3feeadL2Y033mjcdttthmFwbOsSerQAOBUXF2vNmjXq16+fs8zLy0v9+vXTsmXL3BgZzkdubq4kKTIyUpK0Zs0alZSUuBzXVq1aqWHDhs7jumzZMrVr105xcXHOOikpKcrLy9OmTZuqMXqUZ9SoUerfv7/LMZQ4tjXZV199pS5duuimm25SbGysOnXqpDfffNO5fffu3crIyHA5tmFhYUpOTnY5tuHh4erSpYuzTr9+/eTl5aUVK1ZU387ARc+ePbVw4UJt27ZNkrR+/Xr9/PPPuvrqqyVxbOsSH3cHAMBzHDlyRHa73eULmSTFxcVpy5YtbooK58PhcOj+++9Xr1691LZtW0lSRkaG/Pz8FB4e7lI3Li5OGRkZzjrlHfeybXCfDz/8UGvXrtWqVavO2Maxrbl27dqladOmaezYsXrssce0atUq/f3vf5efn5+GDh3qPDblHbtTj21sbKzLdh8fH0VGRnJs3ejRRx9VXl6eWrVqJW9vb9ntdj377LO67bbbJIljW4eQaAFALTJq1Cht3LhRP//8s7tDgQn27dun++67TwsWLJC/v7+7w4GJHA6HunTpoueee06S1KlTJ23cuFHTp0/X0KFD3RwdKuPjjz/Wv//9b82ePVsXXXSR1q1bp/vvv1+JiYkc2zqGoYMAnKKjo+Xt7X3GjGWZmZmKj493U1SoqNGjR2vu3LlavHix6tev7yyPj49XcXGxcnJyXOqfelzj4+PLPe5l2+Aea9asUVZWli6++GL5+PjIx8dHP/30k6ZMmSIfHx/FxcVxbGuohIQEtWnTxqWsdevWSk9Pl/S/Y3Ou9+P4+PgzJioqLS1VdnY2x9aNHnroIT366KMaNGiQ2rVrpyFDhmjMmDFKS0uTxLGtS0i0ADj5+fmpc+fOWrhwobPM4XBo4cKF6tGjhxsjw7kYhqHRo0fr888/16JFi5SUlOSyvXPnzvL19XU5rlu3blV6errzuPbo0UMbNmxw+WBfsGCBQkNDz/gyiOpzxRVXaMOGDVq3bp3z1qVLF912223O/+fY1ky9evU6YxmGbdu2qVGjRpKkpKQkxcfHuxzbvLw8rVixwuXY5uTkaM2aNc46ixYtksPhUHJycjXsBcpTWFgoLy/Xr9je3t5yOBySOLZ1irtn4wDgWT788EPDarUas2bNMjZv3myMHDnSCA8Pd5mxDJ7lnnvuMcLCwowff/zROHTokPNWWFjorPN///d/RsOGDY1FixYZq1evNnr06GH06NHDub20tNRo27atceWVVxrr1q0z5s2bZ8TExBipqanu2CWcw6mzDhoGx7amWrlypeHj42M8++yzxvbt241///vfRmBgoPH+++876zz//PNGeHi48eWXXxq//fabcf311xtJSUnGiRMnnHWuuuoqo1OnTsaKFSuMn3/+2WjevLkxePBgd+wS/mvo0KFGvXr1jLlz5xq7d+82PvvsMyM6Otp4+OGHnXU4tnUDiRaAM7z22mtGw4YNDT8/P6Nbt27G8uXL3R0SzkFSubeZM2c665w4ccL429/+ZkRERBiBgYHGDTfcYBw6dMilnT179hhXX321ERAQYERHRxsPPPCAUVJSUs17gz9yeqLFsa25vv76a6Nt27aG1Wo1WrVqZcyYMcNlu8PhMJ588kkjLi7OsFqtxhVXXGFs3brVpc7Ro0eNwYMHG8HBwUZoaKgxfPhwIz8/vzp3A6fJy8sz7rvvPqNhw4aGv7+/0aRJE+Pxxx93WU6BY1s3WAzjlGWqAQAAAACVxjVaAAAAAGAyEi0AAAAAMBmJFgAAAACYjEQLAAAAAExGogUAAAAAJiPRAgAAAACTkWgBAAAAgMlItAAAAADAZCRaAAAAAGAyEi0AAAAAMBmJFgAAAACYjEQLAAAAAExGogUAAAAAJiPRAgAAAACTkWgBAAAAgMlItAAAAADAZCRaAAAAAGAyEi0AAAAAMBmJFgAAAACYjEQLAAAAAExGogUAAAAAJiPRAgAAAACTkWgBAAAAgMlItAAAAADAZCRaAAAAAGAyEi0AAAAAMBmJFgAAAACYjEQLAAAAAExGogUAAAAAJiPRAgAAAACTkWgBAAAAgMlItAAAAADAZCRaAAAAAGAyEi0AAAAAMBmJFgAAAACYjEQLAAAAAExGogUAAAAAJiPRAgAAAACTkWgBAAAAgMlItAAAAADAZCRaAAAAAGAyEi0AAAAAMBmJFgAAAACYjEQLAAAAAExGogUAAAAAJvNxdwAAarfU1FQVFRW5OwwAqBb+/v5KS0tzdxgAPACJFoAqVVRUpEmTJrk7DACoFmPGjHF3CAA8BEMHAQAAAMBkJFoAAAAAYDISLQAAAAAwGYkWAAAAAJiMRAsAAAAATEaiBQAAAAAmI9ECAAAAAJORaAEAAACAyUi0AAAAAMBkJFoAAAAAYDISLQAAAAAwGYkWAAAAAJiMRAsAAAAATHbBiZZhGMrLy5NhGGbGAwAAAAA1ns+FPjA/P19hYWHKzD6k0NBQU4Lx9w40pR0AAAAAcKcLTrTKGP/9DwAAAABwUuUTLcMhw3CYEQsAAAAA1AqVngzDMPG/83XgwAHdfvvtioqKUkBAgNq1a6fVq1f/LzbD0Lhx45SQkKCAgAD169dP27dvd2kjOztbt912m0JDQxUeHq4RI0bo+PHjlX1ZAAAAANRhlU60HIZh2u18HDt2TL169ZKvr6++++47bd68WS+//LIiIiKcdV588UVNmTJF06dP14oVKxQUFKSUlBQVFRU569x2223atGmTFixYoLlz52rJkiUaOXJkZV8WAAAAAHWYCddoOWSo+ocOvvDCC2rQoIFmzpzpLEtKSvpfXIahyZMn64knntD1118vSXr33XcVFxenL774QoMGDdLvv/+uefPmadWqVerSpYsk6bXXXtM111yjf/zjH0pMTKzenQIAAABQK1R+6KBhOK/TquzNZrMpLy/P5Waz2cp93q+++kpdunTRTTfdpNjYWHXq1Elvvvmmc/vu3buVkZGhfv36OcvCwsKUnJysZcuWSZKWLVum8PBwZ5IlSf369ZOXl5dWrFhR2ZcGAAAAQB3lUddopaWlKSwszOWWlpZW7vPu2rVL06ZNU/PmzfX999/rnnvu0d///ne98847kqSMjAxJUlxcnMvj4uLinNsyMjIUGxvrst3Hx0eRkZHOOgAAAABwvio9dPBCrq86m9TUVI0dO9alzGq1lv+8Doe6dOmi5557TpLUqVMnbdy4UdOnT9fQoUNNiQcAAAAALkSle7T032u0zLhZrVaFhoa63M6WaCUkJKhNmzYuZa1bt1Z6erokKT4+XpKUmZnpUiczM9O5LT4+XllZWS7bS0tLlZ2d7awDAAAAAOfLpGu0zLmdj169emnr1q0uZdu2bVOjRo0knZwYIz4+XgsXLnRuz8vL04oVK9SjRw9JUo8ePZSTk6M1a9Y46yxatEgOh0PJyckX+pIAAAAAqONMmHXwwtbAqqwxY8aoZ8+eeu6553TzzTdr5cqVmjFjhmbMmCFJslgsuv/++/XMM8+oefPmSkpK0pNPPqnExEQNGDBA0skesKuuukp33323pk+frpKSEo0ePVqDBg1ixkEAAAAAF6zGJlpdu3bV559/rtTUVD311FNKSkrS5MmTddtttznrPPzwwyooKNDIkSOVk5Oj3r17a968efL393fW+fe//63Ro0friiuukJeXlwYOHKgpU6ZU+/4AAAAAqD1MmAzDIYdR/etoSdK1116ra6+99qzbLRaLnnrqKT311FNnrRMZGanZs2dXRXgAAAAA6qjK92j9dw0sAAAAAMBJNXboIAAAAAB4qho9dBAAAAAAPBGJFgAAAACYrPKJlgw5RKIFAAAAAGXo0QIAAAAAk5FoAQAAAIDJTJje3S6HYTcjFgAAAACoFejRAgAAAACTmTAZhoPJMAAAAADgFPRoAQAAAIDJSLQAAAAAwGTmDB0k0QIAAAAAJxYsBgAAAACTVT7RctjlcDC9OwAAAACUYdZBAAAAADCZCQsWc40WAACovNTUVBUVFbk7jErJysrSmDFj3B1Gpfj7+ystLc3dYQA1XqUTLbthl91g6CAAAKicoqIiTZo0yd1h1Hk1PVEEPAXTuwMAAACAyUi0AAAAAMBkJgwddDB0EAAAAABOQY8WAAAAAJis0olWqcOuUtbRAgAAAAAnE6Z3t8vB0EEAAAAAcDLpGi2GDgIAAABAGa7RAgAAKEdtWED5QtSGRZcvBAs1w2wmJFoMHQQAALUPCyjXLXUxuUTV8qpsA2VDB824Xajnn39eFotF999/v7OsqKhIo0aNUlRUlIKDgzVw4EBlZma6PC49PV39+/dXYGCgYmNj9dBDD6m0tPSC4wAAAAAAyYREy2EYzuGDlb1diFWrVumf//yn2rdv71I+ZswYff3115ozZ45++uknHTx4UDfeeKNzu91uV//+/VVcXKylS5fqnXfe0axZszRu3LhKvR4AAAAAUOlEq9QoNe12vo4fP67bbrtNb775piIiIpzlubm5+te//qVXXnlFl19+uTp37qyZM2dq6dKlWr58uSRp/vz52rx5s95//3117NhRV199tZ5++mlNnTpVxcXFlX1ZAAAAANRhlU60DJnTm+UwHLLZbMrLy3O52Wy2sz73qFGj1L9/f/Xr18+lfM2aNSopKXEpb9WqlRo2bKhly5ZJkpYtW6Z27dopLi7OWSclJUV5eXnatGnTeb0GR44c0erVq7VmzRodPXr0vB4LAAAAoPbxqGu00tLSFBYW5nI72+wvH374odauXVvu9oyMDPn5+Sk8PNylPC4uThkZGc46pyZZZdvLtlXEpk2b1KdPH8XFxSk5OVndunVTbGysLr/8cm3durVCbQAAAACofSo/66DDLofDnFkHU1NTNXbsWJcyq9V6Rr19+/bpvvvu04IFC+Tv72/Kc5+vjIwM9e3bVzExMXrllVfUqlUrGYahzZs3680339Qll1yijRs3KjY21i3xAQAAAHAfj1qw2Gq1lptYnW7NmjXKysrSxRdf/L847HYtWbJEr7/+ur7//nsVFxcrJyfHpVcrMzNT8fHxkqT4+HitXLnSpd2yWQnL6pzLpEmT1KhRI/3yyy8uyd5VV12le+65R71799akSZNYjwEAAACogzxq6GBFXXHFFdqwYYPWrVvnvHXp0kW33Xab8/99fX21cOFC52O2bt2q9PR09ejRQ5LUo0cPbdiwQVlZWc46CxYsUGhoqNq0afOHMSxYsECPPPJIuT1qAQEBeuihh/T9999XeJ8AAAAA1B6V79FyOGQ3aehgRYWEhKht27YuZUFBQYqKinKWjxgxQmPHjlVkZKRCQ0N17733qkePHurevbsk6corr1SbNm00ZMgQvfjii8rIyNATTzyhUaNGVahXbdeuXS49aqfr0qWLdu3aVYm9BAAAAFBTedTQQTNNmjRJXl5eGjhwoGw2m1JSUvTGG284t3t7e2vu3Lm655571KNHDwUFBWno0KF66qmnKtR+fn6+QkNDz7o9JCREx48fr/R+AAAAAKh5TOjRKlWp4/zXwDLbjz/+6HLf399fU6dO1dSpU8/6mEaNGunbb7+94OfMz88/62QceXl5MgzjgtsGAAAAUHPV2h6tqmYYhlq0aHHO7RaLpRojAgAAAOApSLQu0OLFi90dAgAAAAAPZcI6Wg45HHUv0erbt6+7QwAAAADgoUzo0bLLblTvrIOeoLS0VHa73WWGwszMTE2fPl0FBQW67rrr1Lt3bzdGCAAAUDmpqakqKipydxjVIisrS2PGjHF3GNXG39+f9V6rGEMHL9Ddd98tPz8//fOf/5R0cmKMrl27qqioSAkJCZo0aZK+/PJLXXPNNW6OFAAA4MIUFRVp0qRJ7g4DVaAuJZXuUukFix2G8d+1tCp/q0l++eUXDRw40Hn/3Xffld1u1/bt27V+/XqNHTtWL730khsjBAAAAOAule7RKnWUytvhbUYsNcqBAwfUvHlz5/2FCxdq4MCBCgsLkyQNHTpUM2fOdFd4AAAAANyo0j1aZUMHzbjVJP7+/jpx4oTz/vLly5WcnOyynQWLAQAAgLqJROsCdezYUe+9954k6T//+Y8yMzN1+eWXO7fv3LlTiYmJ7goPAAAAgBtVfjKMGnh9lRnGjRunq6++Wh9//LEOHTqkYcOGKSEhwbn9888/V69evdwYIQAAAAB3MWUdrbqYaPXt21dr1qzR/PnzFR8fr5tuuslle8eOHdWtWzc3RQcAAADAnUyY3t2Q3TDMiKXGad26tVq3bl3utpEjR1ZzNAAAAAA8hQmzDjrkVQd7tJYsWVKhen369KniSAAAAAB4Gnq0LtCll14qi8UiSTLOsv8Wi0V2u706wwIAAADgASqdaJXYHbLUwWQiIiJCISEhGjZsmIYMGaLo6Gh3hwQAAADAQ1R6enfHf3u0zLjVJIcOHdILL7ygZcuWqV27dhoxYoSWLl2q0NBQhYWFOW8AAAAA6h5z1tFymHOrSfz8/HTLLbfo+++/15YtW9S+fXuNHj1aDRo00OOPP67S0lJ3hwgAAADATUy5RsurhvVGma1hw4YaN26chgwZohEjRuj555/XAw88oMjISHeHBgAAADdJTU1VUVGRu8MoV1ZWlsaMGePuMMrl7++vtLQ0d4dRaaYsWFwXZx0sY7PZ9Omnn+rtt9/WsmXL1L9/f33zzTckWQAAAHVcUVGRJk2a5O4wahxPTQDPV+WndzcMWepgj9bKlSs1c+ZMffjhh2rcuLGGDx+ujz/+mAQLAAAAAD1aF6p79+5q2LCh/v73v6tz586SpJ9//vmMetddd111hwYAAOo4s4asmTW8rLYMBQPOhykLFqsOJlqSlJ6erqeffvqs21lHCwAAuIOnDVmrLUPBgPNhSo+WpQ4mWo4K7HNhYWE1RAIAAADA01R+eneHYdqttrDZbHrllVfUpEkTd4cCAAAAwA0qnWgZDkOGw2HKrSax2WxKTU1Vly5d1LNnT33xxReSpLfffltJSUmaNGkS3eQAAABAHVXpoYMOhyFHLeqNqqhx48bpn//8p/r166elS5fqpptu0vDhw7V8+XK98soruummm+Tt7e3uMAEAAAC4gQmJlqNC1yvVNnPmzNG7776r6667Ths3blT79u1VWlqq9evXy2KxuDs8AAAAAG5U+UTLcE+PVlpamj777DNt2bJFAQEB6tmzp1544QW1bNnSWaeoqEgPPPCAPvzwQ9lsNqWkpOiNN95QXFycs056erruueceLV68WMHBwRo6dKjS0tLk43Pul2b//v3Oad3btm0rq9WqMWPGkGSh2njyavOn8uSV50/F1MMAAMBMNbZH66efftKoUaPUtWtXlZaW6rHHHtOVV16pzZs3KygoSNLJqUS/+eYbzZkzR2FhYRo9erRuvPFG/fLLL5Iku92u/v37Kz4+XkuXLtWhQ4d0xx13yNfXV88999w5n99ut8vPz89538fHR8HBwVW3w8BpPG3q3pquJiSDAACg5qh8omV3yG6v/kRr3rx5LvdnzZql2NhYrVmzRn369FFubq7+9a9/afbs2br88sslSTNnzlTr1q21fPlyde/eXfPnz9fmzZv1ww8/KC4uTh07dtTTTz+tRx55RBMmTHBJpE5nGIaGDRsmq9Uq6eSX3v/7v/9zJnllPvvsM5P3HAAAAICnM6VHy6x1tGw2m2w2m0uZ1Wp1JjPnkpubK0mKjIyUJK1Zs0YlJSXq16+fs06rVq3UsGFDLVu2TN27d9eyZcvUrl07l6GEKSkpuueee7Rp0yZ16tTprM83dOhQl/u33377H+8gAACoVpUZZl3Zoc8MSQbqNlNmHbSYdI1WWlqaJk6c6FI2fvx4TZgw4Q9icOj+++9Xr1691LZtW0lSRkaG/Pz8FB4e7lI3Li5OGRkZzjqnJlll28u2ncvMmTP/aHeAOqWmXDN2NjXlWrLy8GUOODt3DrOuqe8pAMxR6UTLzDWwUlNTNXbsWJeyivRmjRo1Shs3btTPP/9sShwAzh/XjLkPX+YAAPA8HtWjVdFhgqcaPXq05s6dqyVLlqh+/frO8vj4eBUXFysnJ8elVyszM1Px8fHOOitXrnRpLzMz07kNAAAAAC6ER12jdT4Mw9C9996rzz//XD/++KOSkpJctnfu3Fm+vr5auHChBg4cKEnaunWr0tPT1aNHD0lSjx499OyzzyorK0uxsbGSpAULFig0NFRt2rSp3h0CAAAAapiquHTA7OH87hpib8o6Wmb1aJ2PUaNGafbs2fryyy8VEhLivKYqLCxMAQEBCgsL04gRIzR27FhFRkYqNDRU9957r3r06KHu3btLkq688kq1adNGQ4YM0YsvvqiMjAw98cQTGjVq1Hn3rAEAAKB2qWwSURcmVKkJlw64a4h9pRMtu90h2e1mxHJepk2bJkm69NJLXcpnzpypYcOGSZImTZokLy8vDRw40GXB4jLe3t6aO3eu7rnnHvXo0UNBQUEaOnSonnrqqeraDQAAAHgodycRXINbs5kwGYYhhxt6tAzjj5/T399fU6dO1dSpU89ap1GjRvr222/NDA0AAABAHWfKNVpywzVaAAAAAOCpTJl1UG7o0QIAAED1cOe1SjXhOiW4R0XPy/M5/8w830yYDMMhGfRoAQAA1FYs/AxPVBXnpZnnGz1aAFBBVTGFrRnMngbXLPwKDQCoyyo/66DDIYNrtADUAe6efaqm8cTkDwCA6kKPFgAAQAWdT892RXub6f0FaicTerTsMuwWM2IBAADwaJ5+TUhN4ukTGQCVVWPX0QIAnMmTriPzpGvH+PIFeB6SVtR2pqyjZeEaLQDwCFxHVj6+fAEAqpsJQwclCz1aAAAAwB/iOr+6w5R1tCwG12gBAAAAf4Qhk3WHSUMHSbSA2qAy1/dU9nocfo0DAAC1iSnTuzN0EKgd3Hl9D7/G1S3VPWmHOybm4McDAKjbKp1oldrtstjNCAUAUFfUhUk7+PEAAOo2erQAAAAAwGSVTrRkGDJItADUYGYvmsmQMQAAUPlEy+6Q7EyGAeBMNWUKW7OHsTFkDABQ0/EjZOVVPtFyGCdvAHAaprAFAKBm4kfIyjOhR8s4eQMAVBmzf1mU6uaviwAAVBd6tACgBqB3EACAmoUeLQBAnVJda3hVx9pd9EoCgOcyJ9EqJdECANQMtWkNL3olAcBzmTB0UAwdBADUmFkmAQCoDuZM7+5lQiQAgBqN68j+mNnDFqtieCLJLQCYw5yhg170aAEA8EdqwrDF2pbcAoC7MOsgAAAAAJiMHi0AAAAAMFnlr64q69Ey43YBpk6dqsaNG8vf31/JyclauXJlpXcJAAAAACrDnB4ti3t6tD766CONHTtW06dPV3JysiZPnqyUlBRt3bpVsbGxbokJAABPVNGJOJgREgDMccGJlmH8N7my2U1bsPjw4cPy8/OTxWJxllmtVlmt1nLrv/LKK7r77rs1fPhwSdL06dP1zTff6O2339ajjz5qSkwAANQGZk/EwaQZAHBuF5xo5efnn/yf/2SYFUu5vVDjx4/XhAkTzigvLi7WmjVrlJqa6izz8vJSv379tGzZMtNiAgDgXFg/DABQngtOtBITE7Vv3z6FhIS49EBVhs1mK7dHqzxHjhyR3W5XXFycS3lcXJy2bNliSjwAAPwR1g8DAJTnghMtLy8v1a9f38xYAAAAAKBWqPysg24SHR0tb29vZWZmupRnZmYqPj7eTVEBAAAAQA1OtPz8/NS5c2ctXLjQWeZwOLRw4UL16NHDjZEBAAAAqOsqP727G40dO1ZDhw5Vly5d1K1bN02ePFkFBQXOWQgBAAAAwB1qdKJ1yy236PDhwxo3bpwyMjLUsWNHzZs374wJMgAAAACgOtXoREuSRo8erdGjR7s7DAAAAABwqrHXaAEAAACApyLRAgAAAACTkWgBAAAAgMlItAAAAADAZBbDMAx3BwFUhmEYys/PV0hIiCwWi7vDqZTatC8AAAB1WY2fdRDIz89XWFiYPvztKQWG+FfZ81y3uerXZ8vt7aewsDDp0gTJx5wO51dfecCUdqpamDXE1PZ2HNtranuSZPX2M73Nz35da2p713XoYGp7knSs6LjpbebZbKa21zg82tT2pJM/fJjNy2LuQBKH4TC1PUnKtRWY3mZaz4mmtldYan6MpUaJ6W3+sH++qe1dlni5qe1J0urDq0xvM8Iabmp7vx3ZZGp7ktQtvovpbebackxv82hRtqnt2ezmvvdKUrjJx1uSmoQ2MbW9o0VHTG1Pkvok/OkP6zB0EAAAAABMRqIFAAAAACYj0QIAAAAAk5FoAQAAAIDJSLQAAAAAwGQkWgAAAABgMhItAAAAADAZiRYAAAAAmIwFiwEAAADgPNhsNtlsrgtAW61WWa1W530SrTogNTVVRUVF7g6jypx+kgMAAABVKS0tTRMnTnQpGz9+vCZMmOC8T6JVBxQVFWnSpEnuDqPK5OXladq0ae4OAwAAAHVEamqqxo4d61J2am+WRKIFAAAAAOfl9GGC5WEyDAAAAAAwGYkWAAAAAJiMRAsAAAAATEaiBQAAAAAmI9ECAAAAAJORaAEAAACAyUi0AAAAAMBkrKOFWuOhma3kZQ2suie4pOqaPt0Lz90r/2B/U9q6b+zLprRzqv6jU0xv89DhY6a217FxfVPbkyR/H/PfMq9ud5Gp7WUW5JraniSl55rfZsaRHFPb23U029T2JKlJVKTpbZotz2Yzvc0jxwtMb9Nsaw6vML3NjUe3mN7mD7s3m9qej8X896BQv1DT28wozDS1vSMnckxtT5K+2b3A9DZ3HjtsepsxgeZ+r+kU18rU9iQp64T5+70rd6+p7W3L3m9qe5LUJ+FPf1iHHi0AAAAAMBmJFgAAAACYjEQLAAAAAExGogUAAAAAJiPRAgAAAACTkWgBAAAAgMlItAAAAADAZCRaAAAAAGAyEi0AAAAAMJn5S4wDAAAAQC1ms9lks9lcyqxWq6xWq/M+iRYqJTU1VUVFRW6N4fSTHAAAAKhKaWlpmjhxokvZ+PHjNWHCBOd9Ei1USlFRkSZNmuTWGPLy8jRt2jS3xgAAAIC6IzU1VWPHjnUpO7U3SyLRAgAAAIDzcvowwfIwGQYAAAAAmIxECwAAAABMRqIFAAAAACYj0QIAAAAAk5FoAQAAAIDJSLQAAAAAwGQkWgAAAABgMtbRQq3x0vAtCgzxr7L2r9ucXGVtV6X+o1NMb/Ob1783vc1ON3c1tb3fD2WZ2p4keXub/9uU1eprans2W4mp7UmSxWIxvc3g4ABT2zuWnW9qe5K0w2GY3mZRUbGp7VXFOVlaaje9TbMF+gaa3ma3+ItNb/PIiRxT22sR3sLU9iRpW84209tsFNLQ1PYchsPU9iQpu+iY6W1uzzb/c6eotNTU9vbmHTS1PUlqG9XS9DbDrWGmttcwJNHU9iqKHi0AAAAAMBmJFgAAAACYjEQLAAAAAExGogUAAAAAJmMyjDooNTVVRUVFprSVlWX+hZ8AAABATUeiVQcVFRVp0qRJprQ1ZswYU9oBAAAAahOGDgIAAACAyUi0AAAAAMBkJFoAAAAAYDKu0QIAAACA82Cz2WSz2VzKrFarrFar875piZaZM9nBXO6YGbA6z4fTT3IAAACgKqWlpWnixIkuZePHj9eECROc901LtMycyQ7mcsfMgNV5PuTl5WnatGnV8lwAAABAamqqxo4d61J2am+WxNBBAAAAADgvpw8TLA+TYQAAAACAyUi0AAAAAMBkJFoAAAAAYDISLQAAAAAwGYkWAAAAAJiMRAsAAAAATEaiBQAAAAAmYx0tVIq/v3+5CyJnZWVVeyzP//KBvAO8q+4JYoZXXdunCbUGK8AaYEpbhw4fM6WdU3W6uavpbf768SpT2xuZ+hdT25Mkq7f551eISce5zNajh01tT5KK7XbT2zyQlW1qeyGhgaa2J0mxocGmt1kUWGpqe8eLbKa2J0ne3p7/G+yJ0hOmt3nMlmN6mxnH88xtrzDD1PYkqdQw95yUpCJ7kant2ezmn+deFvPfz2MCzX8fCvDxM7W9CGuoqe1Jkq+X+elESWmJqe0VV8F5XhEkWqiUtLS0csvLS74AAACAusLzf7YCAAAAgBqGRAsAAAAATEaiBQAAAAAmI9ECAAAAAJORaAEAAACAyUi0AAAAAMBkJFoAAAAAYDLW0QIAAACA82Cz2WSzuS6mbbVaZbVanfdJtFAl/P39q23R4tNPcgAAAKAqpaWlaeLEiS5l48eP14QJE5z3SbRQJdLS0qrtufLy8jRt2rRqez4AAADUbampqRo7dqxL2am9WRKJFgAAAACcl9OHCZaHyTAAAAAAwGQkWgAAAABgMhItAAAAADAZiRYAAAAAmIxECwAAAABMRqIFAAAAACYj0QIAAAAAk5FoAQAAAIDJWLAY8EC7cvbJWnLuRfAqqmPj+qa0c6rfD2WZ3ubI1L+Y2t6MtE9MbU+Skm/vaXqb0eEhpraXc7zQ1PYkydfP1/Q2Q0ICTW3v6JFcU9uTJH9/P9PbtNsdprZns5WY2p5kfow1RafoTqa3ufzgelPbaxzS2NT2JKnYUWx6m3bDbmp7pY5SU9uTpIyCI6a3Gehrzuf2qfJtJ0xtb0/uQVPbk6QAH/P3OyogytT2TpSa+zpWFD1aAAAAAGAyEi0AAAAAMBmJFgAAAACYjEQLAAAAAExGogUAAAAAJiPRAgAAAACTkWgBAAAAgMlItAAAAADAZCxYDAAAAADnwWazyWazuZRZrVZZrf9bwJlEC6ZKTU1VUVFRtT7n6Sc5AAAAUJXS0tI0ceJEl7Lx48drwoQJzvskWnWAv7+/xowZ47yflZVVZc9VVFSkSZMmVVn75cnLy9O0adOq9TkBAABQd6Wmpmrs2LEuZaf2ZkkkWnVCWlqay/1Tky4AAAAA5+f0YYLlYTIMAAAAADAZiRYAAAAAmIxECwAAAABMRqIFAAAAACYj0QIAAAAAk5FoAQAAAIDJSLQAAAAAwGQkWgAAAABgMhYsxjmlpqaqqKiowvWzsrKqMJpze7TXYAWG+FdZ+9dtrrKmz+Dn5Surt58pbfn7mP9n7u1t/m80Vm9vU9tLvr2nqe1J0or3l5reZu/hfUxtz9/fnPPmVIG+vqa36etl7jlUVFRsanuSZLc7TG/TMAxT26uKv8WqaNNs4dYI09sM8gk2vc34oChT2ys1Sk1tT5J25uwxvc3E4DhT2ytx2E1tT5ICfM690OyFOJCfbXqbPia/V27NPmpqe5LUJrqJ6W16W8zdb8Mw//28Iki0cE5FRUWaNGlSheuPGTOmCqMBAAAAagbP/9kKAAAAAGoYEi0AAAAAMBmJFgAAAACYjEQLAAAAAExGogUAAAAAJiPRAgAAAACTkWgBAAAAgMlYRwsAAAAAzoPNZpPNZnMps1qtslr/txg2iRZM5e/vX+2LFp9+kgMAAABVKS0tTRMnTnQpGz9+vCZMmOC8T6IFU6WlpVX7c+bl5WnatGnV/rwAAACom1JTUzV27FiXslN7syQSLQAAAAA4L6cPEywPk2EAAAAAgMlItAAAAADAZCRaAAAAAGAyEi0AAAAAMBmJFgAAAACYjEQLAAAAAExGogUAAAAAJmMdLcADff3benkH+JrS1tXtLjKlnVNZrebEdqoQa4Cp7UWHh5janiT1Ht7H9DZ/nrnE1PY6DOxsanuSFBIaZHqbJ07YTG0vKjLU1PYkac+eQ6a3GRRs7nmen1doantS1fx9my0ppKnpbdrsRaa36ePlbWp7Ib7mn+feJscoSeHWcFPb25Gz19T2JCk6IML0NhNDzG/zQP4xU9vz9TK/j8VuOExv0yKLqe2F+Jn/naAi6NECAAAAAJORaAEAAACAyUi0AAAAAMBkJFoAAAAAYDISLQAAAAAwGYkWAAAAAJiMRAsAAAAATEaiBQAAAAAmI9ECAAAAAJP5uDsAAAAAAKhJbDabbDabS5nVapXVanXeJ9FClUlNTVVRUVGVP8/pJzkAAABQldLS0jRx4kSXsvHjx2vChAnO+yRaqDJFRUWaNGlSlT9PXl6epk2bVuXPAwAAAEgnOxTGjh3rUnZqb5ZEogUAAAAA5+X0YYLlYTIMAAAAADAZiRYA/H97dx4YVXn2ffyahDAJEBaRfV8FtSoiIIIKKqhY9z6tto8i7guiSbU6Yk2itoO2NVqXuPSt1da14lat+lJXxK0q7oKVRQXBsIdAZpLMXO8fvDOdSUIyE647mUO+n390DpNf7nPuZeaaOTkHAADAGIUWAAAAABij0AIAAAAAY1wMow3Kzc2VgoKClJ5bXl7uuDUAAADA7odCqw0KBoMpPzfVggwAAADAf3HqIAAAAAAY4xstpCUQCEgoFErpuZx22Hwz9v2R+Ds1fm+GVP2wbYtJTqJwuMY8c+mGdaZ5myu3m+aJiOTmtjfP3P/UsaZ5H8//wDRPROS42UebZ2a3yzbN27CxwjRPRCQvz2YOJopG1TSva7d80zyvWLN9tXlmts92TIqI+LNt1wwV2/EjItIxJ888s2v7LqZ53XNt80RE2mfZvwVevXWTeWYkGjXNG9C5s2meiEi/jn3NM1Vs99snPtO8VFFoIS2hUEhKS0tTei6nHQIAAKCt4tRBAAAAADBGoQUAAAAAxii0AAAAAMAYhRYAAAAAGKPQAgAAAABjFFoAAAAAYIxCCwAAAACMcR8tAAAAAEhDOByWcDictM3v94vf/9+b3VNowZnc3NwWuWlx3UEOAAAAuBQMBqWkpCRpW1FRkRQXF8cfU2jBmWAw2CK/p6KiQsrKylrkdwEAAACBQEAKCwuTtiV+myVCoQUAAAAAaal7mmBDuBgGAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAIAxCi0AAAAAMEahBQAAAADGKLQAAAAAwBg3LAYy0KZwpfjb1Zhkfbtli0lOIp/PZ55ZHYmY5uW0zzHNExHpkGOfmd+5o2necbOPNs0TEXn+jpfMM4dOH22at2ePrqZ5IiLZ2e3NM7OybD/frNhSaZonIhIO26w9LuW162CeGY6EzDPLt280zVtX9YNpnohIz7we5plRjZrmdfbnm+aJiGT7ss0zh3btZZ5ZEbad491yO5vmiYhU1tivQx1zbOd4OBI2zUsV32gBAAAAgDEKLQAAAAAwRqEFAAAAAMYotAAAAADAGIUWAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjHHDYgAAAABIQzgclnA4+UbIfr9f/H5//DGFFlpMIBCQUChknlt3kAMAAAAuBYNBKSkpSdpWVFQkxcXF8ccUWmgxoVBISktLzXMrKiqkrKzMPBcAAABoSCAQkMLCwqRtid9miVBoAQAAAEBa6p4m2BAuhgEAAAAAxvhGC43Kzc2VgoKC+OPy8vJWbA0AAADgDRRaaFQwGEx6nFh0AQAAAGgYpw4CAAAAgDEKLQAAAAAwRqEFAAAAAMYotAAAAADAGIUWAAAAABjjqoPYZYFAQEKhUJPPc31p+HmLHpHsvGx3v6DHLHfZdWwNV0vYaHauXb/ZJihBp0555pmryzea5uXndzDNExHJybL/bKqqKmyal93Ofg4MnT7aPHP5//3SNM939N6meSIiWQ76OyvLZ5qnqqZ5IiK1tRHzTGsV1VvMM99a84555pvfrTDN+/EQ2/EjItKrQ0/zzK7tu5nmrQutN80TEfGJ/bF84avPzDP379PbNG9gZ9s8EZHuud3NM8MR29fGHnk9TPNSRaGFXRYKhaS0tLTJ53FpeAAAALQVnDoIAAAAAMYotAAAAADAGIUWAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAIAx7qMFAAAAAGkIh8MSDiffWNnv94vf748/ptBCi8nNzXVy0+K6gxwAAABwKRgMSklJSdK2oqIiKS4ujj+m0EKLCQaDTnIrKiqkrKzMSTYAAABQVyAQkMLCwqRtid9miVBoAQAAAEBa6p4m2BAuhgEAAAAAxii0AAAAAMAYhRYAAAAAGKPQAgAAAABjFFoAAAAAYIxCCwAAAACMUWgBAAAAgDHuo4XdxtWTTpcO+bnO8k/4wll0PQO77CG5nWz2ZfmGjSY5iTZt3Gqemd+5g2nehvVbTPNEREKhavPM7nt0Ns3bsLHCNE9EZM8eXc0zfUfvbZq37CX7CTpk2mjzzKwsn3Ge/eelNZGIeaa1qEbNM4/oP8U889uKtaZ5ndt3Mc0TEfm28hvzzPZZjd9bKF2RaK1pnojIuir718bhe3Y3z8zJzjbN21K9zTRPRCTbZ78Otc/OMc2rqLZ/bUwF32gBAAAAgDEKLQAAAAAwRqEFAAAAAMYotAAAAADAGIUWAAAAABij0AIAAAAAYxRaAAAAAGCM+2ghLbm5uVJQUJC0rby8vJVaAwAAAGQmCi2kJRgM1ttWt/ACAAAA2joKLQAAAABIQzgclnA4nLTN7/eL3++PP6bQgnOBQEBCoZCz/LqDHAAAAHApGAxKSUlJ0raioiIpLi6OP6bQgnOhUEhKS0ud5VdUVEhZWZmzfAAAACBRIBCQwsLCpG2J32aJUGgBAAAAQFrqnibYEC7vDgAAAADGKLQAAAAAwBiFFgAAAAAYo9ACAAAAAGMUWgAAAABgjEILAAAAAIxRaAEAAACAMe6jhd3GlfePkix/B3e/4FB30fWoiKqaRA3tvodJTqKvozZtS9SzcyfTvNzc9qZ5IiKRSNQ8c+XKNaZ5eXmN39OjObKz7Y9lVpbt53xDpo02zRMRWbHgS/NM//49TfM65Nr3t9Xa49Lg/KHmmTXRGvPM0d2HmOZ1bt/FNE9EJKL261pOVo5pXlTsx2S3XPtjGY5EzDM3VlWZ5uW3D5nmiYj4fD7zzIjxsbQek6niGy0AAAAAMEahBQAAAADGKLQAAAAAwBiFFgAAAAAYo9ACAAAAAGMUWgAAAABgjEILAAAAAIxRaAEAAACAMQotAAAAADDWrrUbAAAAAABeEg6HJRwOJ23z+/3i9/vjjym0kFECgYCEQqG0fqbuIAcAAABcCgaDUlJSkrStqKhIiouL448ptJBRQqGQlJaWpvUzFRUVUlZW5qhFAAAAQLJAICCFhYVJ2xK/zRKh0AIAAACAtNQ9TbAhXAwDAAAAAIxRaAEAAACAMU4dxC7Lzc2VgoKCnf57eXl5C7YGAAAAaH0UWthlwWCw0X9vrAgDAAAAdkecOggAAAAAxii0AAAAAMAYhRYAAAAAGONvtNDiAoGAhEKhBv+NC2fs4PP5JMuXuZ+DhELV9pkdak3zIpGoaZ6IiKqaZ3bslGeaF43atzEry34sZmX5MjpPRMS/f0/zzPDHtmtczyNGmOaJiFTXRMwzrdVE7degqNqvGRHjTBdtrI5k/rHMycoxzRMRiURtX3NERPzZ2eaZ2cbrb267xu/71Bwu3q9URRp+n9hcedm5pnmpotBCiwuFQlJaWtrgv3HhDAAAAOwOMvcjcwAAAADwKAotAAAAADBGoQUAAAAAxii0AAAAAMAYhRYAAAAAGKPQAgAAAABjFFoAAAAAYIz7aAEAAABAGsLhsITD4aRtfr9f/P7/3hSaQgsZJTc3N+2bFtcd5AAAAIBLwWBQSkpKkrYVFRVJcXFx/DGFFjJKMBhM+2cqKiqkrKzMQWsAAACA+gKBgBQWFiZtS/w2S4RCCwAAAADSUvc0wYZwMQwAAAAAMEahBQAAAADGKLQAAAAAwBiFFgAAAAAYo9ACAAAAAGMUWgAAAABgjEILAAAAAIxRaAEAAACAMW5YDOdyc3OloKAg/ri8vNzJ7/ndrCXSIT/XSbaIyAlfTHCWXZeqSlSjJlkV4bBJTqLsbPvPaCpDtu0Mh2tM80Tc7PfWiu2meV275ZvmiYhUbKk0z1RV07ysLPu+6ZDb+I0om6PnESNM87575T+meSIincb2Nc+05zNPrInarxnh2mrTvMqaraZ5IiIqtnNRRCQctV3Pq2qrTPNERDaFNptnZjtYhzZW2e5730727wm+37bGPNPqPVCMizGUCgotOBcMBpMeJxZdAAAAwO6IUwcBAAAAwBiFFgAAAAAYo9ACAAAAAGMUWgAAAABgjEILAAAAAIxRaAEAAACAMQotAAAAADDGfbQAAAAAIA3hcFjC4eQbQPv9fvH7/3uzewotZIRAICChUKhZP1t3kAMAAAAuBYNBKSkpSdpWVFQkxcXF8ccUWsgIoVBISktLm/WzFRUVUlZWZtwiAAAAoGGBQEAKCwuTtiV+myVCoQUAAAAAaal7mmBDuBgGAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAIAxCi0AAAAAMEahBQAAAADGKLQAAAAAwBg3LEaLy83NlYKCgqRt5eXlu5x75f2jJMvfYZdzdupQd9F1baneJv5wrUnW+sptJjmJamsj5pnZ2baf+0QiUdM8Efs2ioj4/TnmmdbC4RrzTOsxVBOxH5Oqap5ZXWPbzk5j+5rmiYhUfvC9eaa1dj77ty9bI2HzzCyfzzSvVm1eFxJ1aJdnnllRvcU0b33VRtM8EZEVW+zHeSRq/7qztbraNK9dVrZpnojI95U/mGduClWY5i3dYN/Gnw07o8nnUGihxQWDwXrb6hZeAAAAgJdx6iAAAAAAGKPQAgAAAABjFFoAAAAAYIxCCwAAAACMUWgBAAAAgDEKLQAAAAAwRqEFAAAAAMa4jxYAAAAApCEcDks4nHyjc7/fL36/P/6YQgsZITc3t9k3La47yAEAAACXgsGglJSUJG0rKiqS4uLi+GMKLWSEYDDY7J+tqKiQsrIyw9YAAAAAOxcIBKSwsDBpW+K3WSIUWgAAAACQlrqnCTaEi2EAAAAAgDEKLQAAAAAwRqEFAAAAAMYotAAAAADAGIUWAAAAABij0AIAAAAAYxRaAAAAAGCM+2gBKdLolc5/R4XcJiIixROukc6dOzv/fQDQEvKOGWmaV/XiV6Z5IiKdcuzX3LNGnWOeaS0vu4N5Zk5Wjmne3t1+ZJonItK1/R7mmW3VZxsXm2eO7Lq3ad4Xmz4xzUsV32gBAAAAgDEKLQAAAAAwRqEFAAAAAMYotAAAAADAGIUWAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAICxdq3dAAAAAADwknA4LOFwOGmb3+8Xv98ff0yhlSAQCEgoFGrtZiBNdQc5AAAA4FIwGJSSkpKkbUVFRVJcXBx/TKGVIBQKSWlpaWs3A2mqqKiQsrKy1m4GAAAA2ohAICCFhYVJ2xK/zRKh0AIAAACAtNQ9TbAhXAwDAAAAAIxRaAEAAACAMQotAAAAADBGoQUAAAAAxii0AAAAAMAYhRYAAAAAGKPQAgAAAABj3EcLu43uI4skOy/bWf71P57nLDvm8ood/91eu13a1drsywfr3jXJSdQhp4N5ZlVtlXmmta7+buaZQ/KHmeat2b7aNE9EJK+dfX9XVG8xzYtq1DRPRGRw/lDzzJpotXGizzhPpJ3P/q1B1YtfmeblHTPSNE9E5M7SX5lnrq/abJo3pf9E0zwRkews+9fN6kiNeaa1nCz7cb4htNE8s3eHXqZ57bJyTPNERFTUPHNd6AfTvD1ze5jmpYpvtAAAAADAGIUWAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAIAxCi0AAAAAMEahBQAAAADGKLQAAAAAwJj9bbEBAAAAYDcWDoclHA4nbfP7/eL3++OPKbTamEAgIKFQqLWbYaruIAcAAABcCgaDUlJSkrStqKhIiouL448ptNqYUCgkpaWlrd0MUxUVFVJWVtbazQAAAEAbEQgEpLCwMGlb4rdZIhRaAAAAAJCWuqcJNoSLYQAAAACAMQotAAAAADBGoQUAAAAAxii0AAAAAMAYhRYAAAAAGKPQAgAAAABjFFoAAAAAYIz7aGG3seGrEsnyd2jtZpiIaI3Uao1J1mcblpjkJBrf+0DzzE3hzaZ5Y/YcY5onItKxXSfzzHAkZJqX7cs2zROxb6OIyFtr3jHNO6L/FNM8EZGaqM0cTBTVqGmeizZujYTNMzvldDbNu7P0V6Z5IiKXFNxsnnnGlSeZ5o3rvc00T0Skb8d+5pk5/hzTvJUVK0zzREQGdhttnrmtdrt5ZnaW7Vv1wflDTfNERJZs/tw8syZSbZoXFdu1N1V8owUAAAAAxii0AAAAAMAYhRYAAAAAGKPQAgAAAABjXAyjGQKBgIRC9n8c3hLKy8tbuwkAAADAbo9CqxlCoZCUlpa2djOapaCgoLWbAAAAAOz2OHUQAAAAAIxRaAEAAACAMU4dBAAAAIA0hMNhCYeTb/Du9/vF7/fHH1NoISWZfAGQuoMcAAAAcCkYDEpJSUnStqKiIikuLo4/ptBCSjL5AiAVFRVSVlbW2s0AAABAGxEIBKSwsDBpW+K3WSIUWgAAAACQlrqnCTaEi2EAAAAAgDEKLQAAAAAwRqEFAAAAAMYotAAAAADAGIUWAAAAABgzu+pgbm6uFBQUWMW1ivLy8tZuAgAAAIDdgFmhFQwGraJajdcLRQAAAACZgVMHAQAAAMAYNyxuY5p7iqcXTqv83awl0iE/11n+YtnbWXZdr65+RTpU5Jlk/WvFFyY5idZXbTbPXFtZYZr3zvcfm+aJiPTu2N08s11WtmmeP7u9aZ6ISPn2jeaZb363wjTv24q1pnkiIqO7DzHPjGjUNC9cW22aJyKS5fOZZ5416hzTPBdr0BlXnmSe+dffPW2aN/X2H5nmiYioqnlmTlaOad7m6i2meSIi7/7wjnnmY18uMs8c06ufad6Azr1N80RE1m3fZJ45IN+2nQPzB5jmpYpCq41p7imenFYJAAAApI5TBwEAAADAGIUWAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAIAxCi0AAAAAMMZ9tAAAAAAgDeFwWMLhcNI2v98vfr8//phCCynJzc3N2JsW1x3kAAAAgEvBYFBKSkqSthUVFUlxcXH8MYUWUhIMBlu7CTtVUVEhZWVlrd0MAAAAtBGBQEAKCwuTtiV+myVCoQUAAAAAaal7mmBDuBgGAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAIAxCi0AAAAAMEahBQAAAADGKLQAAAAAwBg3LMZuY96iRyQ7L9tZ/gmD5znLruuwPodJfud8k6x2PvtpPrLrSPPMtdvXmuYNzh9smiciUqu15pn5OZ1N81TUNE9EZF3VD+aZPx7iM83r3L6LaZ6rzKhGTfMqa7aa5om4GefWpvSfaJ45rvc288ypt//INO/sS28wzRMReetvfzPP/L/fvm6at1e3waZ5IiIH9hhrnjm8yzDzTFXbNd2fnWuaJyKyomK5eeaATgNM86Jiu/amim+0AAAAAMAYhRYAAAAAGKPQAgAAAABjFFoAAAAAYIxCCwAAAACMUWgBAAAAgDEKLQAAAAAwRqEFAAAAAMa4YTEAAAAApCEcDks4HE7a5vf7xe/3xx9TaO0GAoGAhEKh1m5Gq6k7yAEAAACXgsGglJSUJG0rKiqS4uLi+GMKrd1AKBSS0tLS1m5Gq6moqJCysrLWbgYAAADaiEAgIIWFhUnbEr/NEqHQAgAAAIC01D1NsCFcDAMAAAAAjFFoAQAAAIAxCi0AAAAAMEahBQAAAADGKLQAAAAAwBiFFgAAAAAYo9ACAAAAAGPcRwu7jQ1flUiWv0NrN8PE4vUfSoewzb50bt/ZJCfRV5u/Ms+s1VrTvOpotWmeiMiyzSvNM7Ozsk3zOubkmeaJiPTM62Ge2atDT9O8byu/Mc0TEYlo1DyzOmI7LlXUNE9EpEM7+zGUl227NlvPGxGRvh37mWeq2vbPW3/7m2meiMgh//u/5pmXXvsz07y3tn9imici0qtDb/PM8qpy88x/r/3MNG9Afi/TPBGRXh26m2f+UPWDad7qyrWmeSIi43sc2uRz+EYLAAAAAIxRaAEAAACAMQotAAAAADBGoQUAAAAAxii0AAAAAMAYVx1MkJubKwUFBU0+r7zc/qoyAAAAAHYfFFoJgsFgSs9LpRgDAAAA0HZRaLWSQCAgoVDIJItv2AAAAIDMQqHVSkKhkJSWlppk8Q0bAAAAkFkotAAAAAAgDeFwWMLhcNI2v98vfr8//phCC/VYntbYEuoOcgAAAMClYDAoJSUlSduKioqkuLg4/phCC/VYntbYEioqKqSsrKy1mwEAAIA2IhAISGFhYdK2xG+zRCi0AAAAACAtdU8TbAg3LAYAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAIAxCi0AAAAAMEahBQAAAADGKLQAAAAAwBj30cJu43ezlkiH/Fxn+Ytlb2fZdXX1d5GO/o4mWWu3/2CSk2hQ/kDzzFAkZJoX0YhpnohI3069zDO7+rva5rXvYponIhLVqHlm1/bdTPPaZzV+L5PmyMnKMc+0PpbhaNg0T0SkonqLeab1sayO1JjmiYjk+O3723q//++3r5vmiYhceu3PzDNvv/Ex07zTCo83zRMRqY5Wm2f2yNvTPLNfpx6meSu3rDHNExHZEq40zzygp+17rqpa2/cYqeIbLQAAAAAwRqEFAAAAAMYotAAAAADAGIUWAAAAABjjYhi7gdzcXCkoKDDLKy8vN8sCAAAA2iIKrd1AMBg0zbMs2gAAAIC2iFMHAQAAAMAYhRYAAAAAGKPQAgAAAABj/I0WAAAAAKQhHA5LOBxO2ub3+8Xv98cfU2ghZYFAQEKhUGs3o566gxwAAABwKRgMSklJSdK2oqIiKS4ujj+m0ELKQqGQlJaWtnYz6qmoqJCysrLWbgYAAADaiEAgIIWFhUnbEr/NEqHQAgAAAIC01D1NsCFcDAMAAAAAjFFoAQAAAIAxCi0AAAAAMEahBQAAAADGKLQAAAAAwBiFFgAAAAAYo9ACAAAAAGPcRwv15ObmSkFBQb3t5eXlrdCatumzDUskL5xrkrW+arNJTqKoRs0zw5GwaV5ttNY0T0SkJhoxz/x68zemed1zu5jmiYh09uebZ64LrTfNizjo76ioeWZOVo5pXlVtlWmeiMj6qo3mmXt3+5F5prWVFSvMMzdXbzHN26vbYNM8EZG3tn9innla4fGmeY/e8g/TPBGR6bcfYJ7p4jVi1Vbb917ts+3f+i9e+5155l57DDHNW7ZptWleqii0UE8wGGxwe0PFFwAAAID6OHUQAAAAAIxRaAEAAACAMQotAAAAADBGoQUAAAAAxii0AAAAAMAYhRYAAAAAGKPQAgAAAABj3EcLAAAAANIQDoclHA4nbfP7/eL3++OPKbSQstzc3Iy8aXHdQQ4AAAC4FAwGpaSkJGlbUVGRFBcXxx9TaCFlwWCwtZvQoIqKCikrK2vtZgAAAKCNCAQCUlhYmLQt8dssEQotAAAAAEhL3dMEG8LFMAAAAADAGIUWAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAIAxCi0AAAAAMEahBQAAAADGuGExkIHG9hojnfI7mmQ9v2KBSU6ijaFN5plZvmzTvLXb1pvmiYjktWv8xoTNsWdeN9O89ln2y3q2cd+IiPjEZ5q3rmqjaZ6ISLfcLuaZkWitad6m0GbTPBGRFVu+N8/s2n4P07wcB+N8YLfR5pnv/vCOad6BPcaa5omI9OrQ2zyzOlptmjf99gNM80REzr70BvPMeTfPNs8M1dquGXk5tmuviMikASPMM5dsXG6aN7ir/ThPBd9oAQAAAIAxCi0AAAAAMEahBQAAAADGKLQAAAAAwBgXw2iG3NxcKSgo2KWM8vJyo9YAAAAAyDQUWs0QDAZ3OWNXCzUAAAAAmYtTBwEAAADAGIUWAAAAABjj1EEAAAAASEM4HJZwOJy0ze/3i9/vjz+m0GrjAoGAhEKh1m7GLqk7yAEAAACXgsGglJSUJG0rKiqS4uLi+GMKrTYuFApJaWlpazdjl1RUVEhZWVlrNwMAAABtRCAQkMLCwqRtid9miVBoAQAAAEBa6p4m2BAuhgEAAAAAxii0AAAAAMAYhRYAAAAAGKPQAgAAAABjFFoAAAAAYIxCCwAAAACMUWgBAAAAgDEKLQAAAAAwxg2LsduYt+gRyc7LdpZ/wuB5zrLrqghvkUj7GpOsZZvWmeQk+s/GcvPMHh06mOZ1yGn8JoLNsXrrRvPMvvndTPNWb91kmiciMrRrL/PMF776zDRv+J7dTfNERMKRiHmmP9t2jcrOsv+8NBKNmmda2xCyn4vbarebZz725SLTvOFdhpnmiYiUVzlYz/P2NM2ridrPxXk3zzbPvPpXd5hnHjf7aNO8KYP2Ms0TERnZbah5ZjgSNs3rlNPRNC9VfKMFAAAAAMYotAAAAADAGIUWAAAAABij0AIAAAAAY1wMw6MCgYCEQqFdzikvt/8jWAAAAKCto9DyqFAoJKWlpbucU1BQYNAaAAAAAIk4dRAAAAAAjFFoAQAAAIAxTh0EAAAAgDSEw2EJh5NvrOz3+8Xv98cfU2ihWawuxmGh7iAHAAAAXAoGg1JSUpK0raioSIqLi+OPKbTQLFYX47BQUVEhZWVlrd0MAAAAtBGBQEAKCwuTtiV+myVCoQUAAAAAaal7mmBDuBgGAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAIAxCi0AAAAAMEahBQAAAADGuI9WG5ebmysFBQVp/1x5ebmD1uyaDV+VSJa/Q2s3w8TG0CYJ5YRMsnp0sD8modpa88y8du1N87aGq0zzRETaZdl/NrV66ybTvEg0aponIlIRrjTP3L9Pb9O8nOxs0zwRkY1V9mMo23gMuWjj1upq80xrvTv0Ms/MzrJ/SzSmVz/TPFU1zRMR+ffaz8wz+3XqYZq3aqv9ew4Xr2PHzT7aPPP5O14yzRs0t4tpnisbqja3dhOadOyAk5p8DoVWGxcMBpv1c80pzgAAAIC2glMHAQAAAMAYhRYAAAAAGKPQAgAAAABjFFoAAAAAYIxCCwAAAACMUWgBAAAAgDEKLQAAAAAwRqEFAAAAAMa4YTEAAAAApCEcDks4HE7a5vf7xe/3xx9TaKFZcnNzpaCgoLWbISJSb5ADAAAALgWDQSkpKUnaVlRUJMXFxfHHFFpolmAw2NpNiKuoqJCysrLWbgYAAADaiEAgIIWFhUnbEr/NEqHQAgAAAIC01D1NsCFcDAMAAAAAjFFoAQAAAIAxCi0AAAAAMEahBQAAAADGKLQAAAAAwBiFFgAAAAAYo9ACAAAAAGPcRwu7je4jiyQ7L9vhb5jnMDtZdTQs2RGbz0HG9BplkpPom4rvzTO7+Tub5q3cYt/GpRs3mGfmZNl+3jWgs+1xFBHplmufObBzb9O8LdXbTPNERPLbh8wzc9s1fs+VdPXtFDbNExFpl+VyHbXRLivHPHNw/lDzzAHG49yfnWuaJyIyIL+XeebKLWtM89pn279dzcvxmWdOGbSXeeaguV1M8+76zeOmeSIiY346zjzzuP32Nc1bU1lhmpcqvtECAAAAAGMUWgAAAABgjFMHW0lubq4UFBQ0++fLy8sNWwMAAADAEoVWKwkGg7v087tSpAEAAABwi1MHAQAAAMAYhRYAAAAAGKPQAgAAAABjFFoAAAAAYIxCCwAAAACMcdVBAAAAAEhDOByWcDictM3v94vf748/ptCCE4FAQEKhUIv8rrqDHAAAAHApGAxKSUlJ0raioiIpLi6OP6bQghOhUEhKS0tb5HdVVFRIWVlZi/wuAAAAIBAISGFhYdK2xG+zRCi0AAAAACAtdU8TbAgXwwAAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAIAxCi0AAAAAMEahBQAAAADGKLQAAAAAwBj30WrjAoGAhEIh89zy8nLzzLakS/su0sHfwSSrvGqdSU6ifbvvZZ6Zk2W7HOW1a/zeFs2x955DzTMjGjXN69exr2meiEhlTaV5Zvfc7qZ52T77zw19Pp95ZpZxO7/ftsY0T0Tk+8ofzDM/27jYNE9FTfNERJZs/tw8c932TaZ5KyqWm+aJiPTqYDsXRUS2hG3XjMVrvzPNExGZNGCEeebIbvavEdbG/HSceebix/9tnnnMvnub5mU7WM9TQaHVxoVCISktLTXPLSgoMM8EAAAAvIJTBwEAAADAGIUWAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAIAxCi0AAAAAMMZ9tAAAAAAgDeFwWMLhcNI2v98vfr8//phCC07k5ua22E2L6w5yAAAAwKVgMCglJSVJ24qKiqS4uDj+mEILTgSDwRb7XRUVFVJWVtZivw8AAABtWyAQkMLCwqRtid9miVBoAQAAAEBa6p4m2BAuhgEAAAAAxii0AAAAAMAYhRYAAAAAGKPQAgAAAABjFFoAAAAAYIxCCwAAAACMUWgBAAAAgDEKLQAAAAAwxg2LPSo3N1cKCgp2Oae8vNygNZnh6kmnS4f8XGf5i50l1zc4f7B06tzJJGv5lm9MchJ19Xcxz6yprTHN657X3TRPRCTbZ//ZlE98pnkqUdM8EZGOOR3MM8ORsGle++wc0zwRkUgkYp5ZFQmZ5kXVvr83hSrMM0d23ds0b13oB9M8EZGaSLV55oD83rZ5nQaY5omI/FBlfywP6Gnb33vtMcQ0T0Rkycbl5pnW65qIyIaqzaZ5x+23r2meiMgx+9r2t4hI8LoHTPN+WfwL07xUUWh5VDAYNMmxKNYAAAAAJOPUQQAAAAAwRqEFAAAAAMYotAAAAADAGIUWAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjHEfLQAAAABIQzgclnA4+SbVfr9f/H5//DGFFuoJBAISCoVauxkpqzvIAQAAAJeCwaCUlJQkbSsqKpLi4uL4Ywot1BMKhaS0tLS1m5GyiooKKSsra+1mAAAAoI0IBAJSWFiYtC3x2ywRCi0AAAAASEvd0wQbwsUwAAAAAMAYhRYAAAAAGKPQAgAAAABjFFoAAAAAYIxCCwAAAACMUWgBAAAAgDEKLQAAAAAwRqEFAAAAAMa4YXEbl5ubKwUFBUnbysvLW6k1u+bK+0dJlr+Ds/yzg86i69kY3iDhUMgk66uNq0xyEg3M72ueWa21pnlVtVWmeSIiqlHzzPz2+aZ5PvGZ5omIhCNh88weeT1M8yqqK0zzRERysnLMM/Oyc03zXIzzpRt+MM/8YtMnpnl75tqOHxGRqNjP74H5A0zzXLRxdeVa88yqWpvXr5hlm1ab5omIDO7a2zyzU05H80xrayrt18psn/3rzi+Lf2Ga94fih0zzRER+v+CmJp9DodXGBYP1q4e6hRcAAACA9HDqIAAAAAAYo9ACAAAAAGMUWgAAAABgjEILAAAAAIxRaAEAAACAMQotAAAAADBGoQUAAAAAxriPFgAAAACkIRwOSzgcTtrm9/vF7/fHH1NooZ7c3FxP3bS47iAHAAAAXAoGg1JSUpK0raioSIqLi+OPKbRQTzAYbO0mpKWiokLKyspauxkAAABoIwKBgBQWFiZtS/w2S4RCCwAAAADSUvc0wYZwMQwAAAAAMEahBQAAAADGKLQAAAAAwBiFFgAAAAAYo9ACAAAAAGMUWgAAAABgjMu7w/NUVUREouHtTn9PqMJpvIiIbNmyRUREtlfa7Uv1NvsbOm/fan+sq6O15pnWVKPmmdnts03zsnz2n5+FI/ZjaFvtNtO87dX2Y7JdVo55Zmy9srI9XGWaJyJSs73aPHPbVtv+9lfnmeaJiNREHex32Ha/a7Lt18mqSvsxFKq1XTNcvI6F2oXMM7fn2K9DYeN9r95ufyyzfT7zzLD1UK+1f/2uqKiQ/Px88TWy/z61XvWBFrZq1SoZMGBAazcDAAAAbciWLVukc+fOO/13Ci14XjQale+//77JTxW8IBqNytatW6Vz586N7ktFRYUMGDBAvvvuu0YneDqsM73QRheZXmiji0wvtNFFphfa6CLTC210kemFNrrI9EIbXWR6oY1eyfRCG5uT2dR7T04dhOdlZWVJ//79W7sZZrp27Zryczt37my2uLjK9EIbXWR6oY0uMr3QRheZXmiji0wvtNFFphfa6CLTC210kemFNnol0wtttMzkYhgAAAAAYIxCCwAAAACMUWgBHuT3+6WoqEj8fn/GZnqhjS4yvdBGF5leaKOLTC+00UWmF9roItMLbXSR6YU2usj0Qhu9kumFNrrI5GIYAAAAAGCMb7QAAAAAwBiFFgAAAAAYo9ACAAAAAGMUWgAAAABgjEILAAAAAIxRaAEAAACAMQotoBVFo9Gkx5FIpJVa0ri67XSVuau/x0U7LbnqbxfH0iWru4pY76N1/7joby+vGZk8Jq1Y77cXx5DL+W01hiza2JLruWVeJq5rrmTCOkShBbSirKws+eqrr+SWW26RyspKyc7OFpFdexGou4js6gtKNBqVrKws+fbbb+WRRx6R2267TSoqKkwyV69eLS+++KL87W9/E5Edx6O57bVup/VxFHHX35bH0sV+xzKrq6tFRMTn85lkWo9L6/5x0d9eWjOs57dlG11kuthvL4yh2HHcvn27iPx3fmfiuma5Brlcz9vauuZqflvPx2ZRAK1m+/btOmLECPX5fHrggQdqcXGxvvHGG0nPqa2tTTv3888/18LCQv3mm290y5YtSf8WjUZTzolEIqqq+vHHH+vAgQN1/Pjx2qFDB91vv/1069ataberbubw4cN1v/3205ycHJ0yZUqz8ly1U9XuOMZY97eLY6lqv9+xzBNPPFGDwaDW1NRoTU1N0j6kw1V/W/ePi/ntpTXDckxattFFpqv99soY+vzzz3Xs2LF65ZVX6qpVq3Tbtm2q2rx+cbmuWa1Bqm7X87a2rqnazm+X61C6KLSAVlZUVKRlZWX62GOP6WWXXaadOnXSyy+/XB966KGk56X6YlBTU6P777+/+nw+Peqoo3TWrFn69NNPp50Ve87ixYs1Ly9P586dq+vXr9d169bpHnvsUa99qWgoc8WKFfrvf/9bu3Tpoi+99JJJ5q62U9XuONZl1d8ujqWqm/2ORqN65ZVX6t5776177723HnvssVpYWKjLly+v97ymuOrvGOv5aJ3nItPlmmExJi3b6CLT5X6remMMlZaW6ogRI3S//fbTk046SY8//nj98MMP037D7OpYWq5BiVyu521pXbOc367nY7ootIBW9uijj2qvXr30m2++UVXVDz/8UAsLC7Vjx456wgkn6GOPPaY//PBDWpl//vOftaioSJ966ikNBoPaqVMnPeuss3TevHkajUbjLyZNfer09ddfa05Ojt5www1Jz58yZYpeffXVeuaZZ+o999yjq1atSrltS5cuVb/fryUlJUnbJ06cqH/4wx+0sLBQX3jhBd2wYUPKmS7aqWp3HBNZ9reLY6nqZr8feeQRPfroo7WyslIff/xx/dnPfqY9e/bUuXPn1nvha+rNjqv+VrWfjy7mdyavGa7GpGUbXWS63G8vjKE33nhDf/KTn+iyZcv0gw8+0FmzZunQoUN15syZ9d58NzW/XR1LyzUoxvI4tvV1zXJ+u5yP6aLQAjLAzJkz9YILLogvJKeccoqOHDlSf/zjH+shhxyi+fn5aX2i9fLLL+uIESP0o48+UtUdi85dd92lPp9PjzzySJ03b158gdyZ2tpanTdvnnbp0kXnzZsX3z5v3jz1+Xx6zjnn6Pjx47Vnz5561llnaUVFRZPtqqmp0UsuuUS7d++uDz74YHx7MBhUn8+nJ510kg4bNkw7duyoJSUlGg6Hm8x00c4Yi+PYEIv+dnEsXe/3hAkT9Kqrrop/4vjiiy9q165dtV27dvrzn/9cH3nkkfgpRzvjsr9jrOejdZ6LTIs+dzkmrdroxf1W9cYYmj59up5++unxxx9++KH27dtXfT6fnnjiifrb3/62yTffro+lxRpUl8VxZF2zm98tMR/TQaEFtKLYAnXffffpUUcdpaqqs2bN0l69eunSpUtVVfWDDz7QQCCgn3/+eVrZs2fP1iOPPFJDoZCqqv7sZz/TYcOG6XnnnadHHnmk+nw+nTdvXqOfDn333XdaUlKio0aN0tLSUi0tLdU999xT//nPf8afM2fOHO3evbsuWbIkpXZ98cUXevbZZ+vEiRP1iSee0FtuuUX33HNPfeGFF+JtOeWUU7R///4pfyLmop0xFscxxrq/XRxLF/sde1Pz+OOP6/HHH6+bNm1SVdVzzz1XR4wYoU899ZQef/zxOmjQIJ00aVKTma7627p/XMzvTF8zXI5JqzZ6ab+9MIZi8/vdd9/VqVOn6qeffhrPHDFihP7zn//Uyy67TIcOHar77LOPbt++vdE8F8fSeg1StT+ObXldi7Ga367XoXRQaAEZIBKJ6OjRozU/P1/79u2rixcvbnZWbBF85ZVX9JhjjtH169frzJkztVevXvrll1+qqmp5ebnefvvtKS2Cq1ev1qKiIh0yZIj6fD598803VVXjL5YLFizQIUOGxF9cU7FkyRKdOXOmjhgxQnNycuJ/SBvLfPjhh3XYsGG6cuXKlDOt22l9HBNZ9rf1sXS536tWrdLBgwfr3/72N509e7b26dNH33vvPVVVrays1HfffVeXLVuWUpaLcRlj2T8u8qwzrfvcxfx2MS69sN8xmT6GVFXXr1+vEydO1FtuuUUvuuiipPldXV2tq1evTnnfXR1LyzUoxvI4ttV1zcX8djkf00GhBbSy2KcrDz30kA4dOjTp06tdNXHiRG3Xrp0OHDhQP/7442bnxBb/4cOH629+85ukf7v88st1/PjxaZ/rvHTpUp05c6but99+ev/99yf928UXX6yHH354vT+kbo12qtodR1U3/e3iWKra7nfsE+V7771XfT6f9u/fP/7C3Nwrxrnob+v+cdHfXlgzXI1Jyza6yHSx314YQ7E5/Oyzz6rP59M+ffo0qxhIZH0sXaxBLvqmra5rMZbz2+U6lCoKLSBDLFmyRPv27atlZWWq2vyFX/W/LygLFy7UUaNG6QMPPLDL7Yst/qNGjdLi4mJVVb3++uu1U6dO8XOq0xVbBCdOnKj33XefqqqWlJRofn6+fvLJJ63eThfHMcayv1Vtj6XL/f7kk090r7320jvvvFNVm3cZ4EQuxqWqff9Y51lnuuhz6/ntoo1e2O+YTB9Dqqpr1qzRqVOn6rXXXququz6/XRxL6zVI1f44tsV1zdXrjqv5mCoKLaCVJC5Isf+/+eabtXv37vHznHfVqlWrdNy4cXrdddepavPvFxITW/x/9KMf6QEHHKC5ubn6/vvv71Jm7Ov9KVOm6NSpU00yrdtpcRxbor+tj6X1+Im59NJLdfjw4fHz8HeVRX9b94+L/vbimuFifrsYl5m435k4hlJ5I33DDTdoz549dePGjc1qY10uxtCurkEtMRfbyrpWl4v57WIMpYpCC3AothB9/vnn+uyzz+qLL77Y6B+xLliwQA855BBdvXr1Lv2+RA888ID6fL5mnT/dUN7333+vV1xxhY4aNcosc+nSpXrKKafowIEDM6KdzT2OmdDfu3Isd2X87OwNWOKLZOz/ly5dqv369dN77rknrfY19rtS6W/r/nHR35kwhqzXDBfze1fa6CKzufvtlTFU99LaDV1qO7Zt69atOnjwYL3mmmt2mteYXT2WdTV3DcqEubi7rGuNaan5vavrUHP5VFUFgDPz58+Xyy67TPr06SPt2rWTTZs2yU033SQnnnhig8/fsGGDdO/efad5qio+n08WL14sH3/8sYiIjB49WiZMmNDg85cuXSqXX365lJWVyeDBg3c5T0Rk7dq10q5dO9lzzz0bbeMXX3why5Ytk/bt28vgwYNlr7322mnm8uXLJTc3V/r27Wuy30210/o4xrjqb6tj6WK/Y5mvv/66vPnmm7JixQo5+uijZcqUKdKjR4/4v8eEQiGZNWuW3HjjjTJs2LBGMy3HpYh9/1jnuch0tWa05vxOZ1xm8n6LZP4Yiu33yy+/LM8995ysXr1aDjzwQDnjjDOkX79+9eZ3bW2tzJ07V84///wm57f1uma5Bom0/lwU2T3WNZfz23o+mmuxkg5oIxI/PXvvvfe0W7duetddd6mq6ksvvaQ+ny9+/vrOfq4pTzzxhPbu3VsPO+wwPeaYY7RDhw71/tAz0ebNm03zUm1jv3799KCDDtKDDz5Y99prr3p3em9OpmU7LY5jS/W35bG0Hj+qqvPnz9dOnTrpxRdfrKeccooefPDBOm3aNK2srEx6Xmy/UzkFyaK/rfvHRX97dc1o7fmdyrjMxP324hh68skntUOHDnrFFVfo5ZdfrpMnT9bhw4fXu5BAOn+jYz2GLNagTJyLDfHCulaXq/ltvQ5Zo9ACjLz99tvx/6+pqVHVHVc3Ovnkk1VV9ZtvvtGBAwfqxRdfHH9eqnd4Tzw946OPPtIePXrE//h08eLF6vP5tLCwsN7P7exFr7l5jWnuQt0Y63ZaHkeX/W19LK3HT13Lly/XUaNG6d13362qO/YzPz9fr7zyypTbuCvtbIh1/7joby+tGZk0vxsbl5m8314bQzHff/+9jhkzRu+44w5V3XG/p549e+oll1yS9Lym1gsXYyhmV9egTJyLLdHOTNzvxsaRyzHkCoUWYODVV1/VHj166G9/+9uk7XfccYf+/Oc/12XLlmn//v31/PPPjy8U//rXv7SkpKTRT20WLFgQ///YIvjUU0/pscceq6qqK1as0AEDBiQtgitWrGixPFU3C3Wm77er/rY+li76+9FHH9WFCxcmbfvggw901KhRWl1drcuXL9eBAwfqeeedF//3hQsXNnqT0kzvHxf97ZU1wwvz20Wm9X57ZQzde++9+uyzzyZtW7p0qQ4ZMkQ3btyo3377bTwz5vnnn9eKioqd7rv1sbReg7wyF72wrrnYb9WW+UDBlayWO0kR2H3169dPzj77bHnooYfkpptuim/fc889ZdGiRTJx4kQ57rjj5J577pGsrB3Tbv78+bJ8+XJp165dg5mLFy+W6dOny5w5c0RE4s8LhUJSVVUln376qRx++OFy7LHHyu233y4iIq+//rr8/ve/l/Lycud5IiKvvfaanHDCCRIMBpMyq6urJS8vT5YvXy6TJk2SY445Jp758ssvy//5P/9HtmzZ4tn9dtHf1sfSxX4vXbpUbrnlFrnhhhvkvffei2+PRqPSs2dPWbp0qUyZMkWOPvpoKSsrExGRDz/8UB5//HFZuXJlg5le6B8X/e2FNcML89sr++2FMbRq1Sr5xz/+IVdeeaUsWLAgvj03N1eGDRsm77zzjkyePFlmzJghd955p4iIfPXVV/L000/Lp59+2mAbrY+lizXIC3PRRTu9st8u5mOLau1KD/CyP/3pT7pp0yZVVV22bJkGAgHda6+9NBgMxp9z1llnqc/n0xdeeEHXr1+vGzZs0Kuuukp79OjR6B3O169fr3fddZf26tVLL7/88vj2hQsX6gEHHKDdu3fXs88+O+lnLrvsMj311FMbvAGfdZ6q6ldffaVXXXWV7rPPPjpv3rz49kcffVQHDRqkPXv21AsuuCDpZy666CKdOXNmvfPmvbDfLvvb+li66G9V1b///e967LHH6owZM/Sdd95RVdWqqiodMmSI+ny+pE8UVVV/+ctf6uTJk7W8vLzBvEzuHxf97aU1wwvzO9P322tjaOHChXrGGWfovvvuqy+++KKqqlZXV+shhxyiPp9PZ86cmfT8K6+8Ug866CBds2ZNg3kuxpDVGuSVueiFdc3Ffse4GEMtiUILaKZvv/1WR4wYofvss0/8a/TERevGG2+MP/e4447Tnj17ar9+/XTy5Mk6aNAg/fDDDxvM/eMf/6hff/21qqpu3LhR7777bu3evbtedtll8edcccUV6vP59K677tIVK1bod999p7/61a+0e/fu+tlnnznNU3WzUGf6frvqb+tj6aK/77nnHp0zZ0788fz583X69Ok6Y8YMffPNN1V1xzn3AwcO1OOPP17ffvttfeWVV7SwsFA7d+7c4E0hM71/XPS3V9YML8xvL+y3V8bQbbfdFj8FS1X1zTff1J///Oe677776vPPP6+qquvWrdPhw4frxIkT9ZFHHtGnnnpKL730Us3Pz9ePP/64Xqb1sbReg7wyF72wrrnYb1W3BWFLotACmikSieirr76qEydO1P3337/BRSvx3Od//OMfev/99+s///lP/e677xrM3Lx5sx544IHaq1cvXblypaqqbtiwIb5ozZ49O/7cWbNm6V577aUdO3bUCRMm6MiRI+stgtZ5qm4Wai/st4v+tj6WLva7srJSr7rqKh0xYoTOnTs3vj3xjU7s/PmFCxfqiBEjdNCgQTpy5EidNGlSg/cr8UL/uOhvL6wZXpjfXtlvL4yh6upqvffee3XPPffUWbNmxbcnFlvPPfecqu74O5rJkyfr6NGjddSoUTp9+nT96KOP6mVaH0sXa5AX5qKLdnplv10VhK2BQgtohthVcSKRiL722ms6fvz4nS5aiQtCKlasWKHTpk3Tfv36xf9ANHHRSrzS07///W995pln9J133tnpqRvWeS4W6kzfb1f97eJYWh9HVdU1a9bojTfeqKNHj9ZAIBDfPn/+fJ02bZoee+yx+u6776rqjlN4PvnkE12xYkX800jX7bTuHxf97ZU1wyvzO9P320tjqLKyUv/6179qnz59kk4NjBVb++yzT/ybrdraWl29erWWl5fv9LQsF2PIcg3yylz0wrrmYr9jbXSxDrUGCi2gmWJX4YktWgcddFCDC8K+++6r1113XVrZK1as0COOOGKni1biJ0QtmedyobZsp4s86/52/aJneRxVd7zRuf7663f6RmfGjBn61ltvtVo7rfvHxfzO9DXDa/PbKtPlBymJuZk8hiorK/XBBx/cabG177776gsvvNBkjssxZLkGZfpcdNVOL+y363WopVFoAWmKLQLV1dW6devW+Pa33npLDzzwQD3ggAOSFoQ5c+bouHHjdP369Slnq+5YtA4//PAGF63evXvrOeec0+J5qm4W6kzeb5f97ap4s9jvhqxatUqvv/563Wuvveq90ZkxY4ZOmjRJ33///RZtp3X/uOhvL60ZXpjfLjIt99trYyimoqJCH3zwQe3Vq1e9YuvMM8/Uvn376ssvv9xkjss387u6BnllLnphXXOx3zEux1BLo9AC0hBbUJ577jn96U9/qnvttZdefvnl+swzz6jqjhekup++rFixYqdXXKubW1lZqRs2bIhvX7NmjR566KFJi9bGjRv11ltv1WHDhunatWtbJC8x08Wbh0zdb9f9bf0i6qK/V69ercuXL9fvv/9eVVW3bNmi119/vY4aNSrpjc7DDz+sp5xyin777bdNZmZq/7job6+tGZk8v72w314ZQ7HM5cuX6+LFi/XLL7/U6upqVVV98MEHtXfv3knF1quvvqrnnXeeLlu2rMlM62NptQZ5bS5m8rrmYr8TM11+oNDSKLSAND377LPaoUMHve666/SRRx7RqVOn6tChQ/Wjjz6Kf/oyceJEHTRoUKOXyY6JLSzPPvuszpgxQwcOHKhnnnmm3nbbbaq64xO82NfxsT803bhx407//sU6LzHTxQt9Ju93LM9Ff1u/iLro76eeekpHjx6t++yzj/bu3VuvvPJKXbZsmW7cuDF+Cs+1114b/7nGblrqlf6xznOR6WruZPL89sp+x9qXyWMott9PPvmkDhkyRPfbbz/t37+/nn766frWW29pbW1t/DTCxEtxN3bTcVfrmuUaZH0cE9vZ1tY1r7zPyAQUWkAjamtrVXXHAhCNRnXDhg06depUveWWW1R1xwtPz549taCgIOnnXnnlFT3iiCMa/fQv0XPPPad5eXl600036YIFC/Sss87SvLw8fe2111R1x2Jy1FFHaV5enn7zzTctnqfq5s1Dpu13S/W39bG0Oo6Jp4C8/PLL2qlTJ/3jH/+o4XBYg8Gg+nw+ffTRR1X1v3+c3qtXL73++uvr/byLdlr3j4v+9uqa4YX5nYn77aUxlDg/33jjDe3cubPecccdqqp67733anZ2tt59992quuNbir/97W+ak5OjF110UZPHUdVmDFmuQV6Zi15Y11zsd0NcrEOtjUIL2In7779ff/Ob32goFIpv2759u44bN06/+OILXbFihfbt21fPO++8+L+/8MILunLlSo1Gozv99K+mpkZVd5x7HI1GdevWrXrSSSfFb8S3efNm7dOnT9L9J1RVV65cqccff7x+9dVXTvNU3SzUmb7frvrb+li66O/YKTmJ7Z09e7aef/75qrrjUrvDhw+PP45Zu3at3nzzzfH7p7hsp3X/uOhvr6wZXpjfXthvr4yhpUuX1jum1157rf7iF79QVdVvvvlGhw4dmnTT18rKSg2Hw/roo48m/byrY2m9BnllLnphXXOx36otVxC2NgotoI5IJKI1NTV66qmn6tixY/W2226LL1pr167VfffdV++8804dPny4nnvuufHFYuXKlXraaafps88+u9Psv/zlL3r22WcnXRa3trZWJ06cqAsWLNBvv/1W+/Xrl7QIPv300/E/7o0tdq7yVN0s1Jm83y772/pYuujvu+66S48++uj4pZFjfvazn+kDDzygVVVV2rdvXz3//PPjnxY/9thjumDBgvjvryuT+8dFf3tpzfDC/M70/fbSGHr44Yd1woQJOn/+/KTthYWFevPNN2tFRYX269dPL7jggvj8fvrpp/Whhx5S1Ya/pbYeQ5ZrkFfmohfWNRf7HeOqIMxEFFpAHatXr1bVHZ/onXPOOTphwgQtLS3VqqoqVVWdN2+e+nw+PfbYY5N+7pprrtF99tmnwa/II5GI1tbW6q9+9Ss96KCD9PLLL48vWps3b9ajjjpKf/3rX+uwYcP03HPPjb+YrFmzRs844wz961//mvSCZ50Xy3Tx5iHT99tVf1u/iFrvd8xrr72mgwYN0tNOO03fe++9+PbCwkIdMWKE9u/fXy+99NL4H8pXV1fraaedpnPnzq33AuqF/nHR315ZMzJ9fntlv70yhlR33LNoypQpOmPGDH3qqafi23/zm9/oHnvsoX369NHLL788Ppdra2v1zDPP1MsuuyzpTbCrY6lquwZ5YS66aKdX9ttlQZipKLSABA8//LBOmjRJFy1apKqq27Zt01mzZun48eP1D3/4g1ZVVem2bdv0ggsu0KysLA0GgxoMBvXCCy/U/Pz8Bu9Ar7rjyk6qO26keMMNN+jBBx+sc+bMiV9V5y9/+Yv6fD497LDDkn7ummuu0ZEjR8av3OMqT9XNQp3p++2qv62PpYv+XrRokW7cuFFVd1zRadiwYfo///M/+vbbb8d/52GHHab9+/eP/4F5bW2tBgIB7d+/f4OngmR6/7job6+sGV6Y317Yb6+Moeeffz5+dbePPvpIjzrqKJ0+fXr8m61oNKonnniidurUKX7aXlVVlQYCAe3Tp48uWbKkXqb1sbReg7wyF72wrrnYb1V3HyhkMgotIMGjjz6qRxxxhJ5wwgnxGx8mLlqlpaXxy47OmzdP99tvPz3kkEP0F7/4hX766acNZj799NPar18//ec//6mqqqFQSEtKSvTggw/W2bNnx19ASkpK1Ofz6SWXXKJz5szRs88+Wzt37lxvEbTOU3WzUHthv130t/WxdLHfL730kg4bNkxvuOGG+FWgFi1apMOGDdOf/OQn+sEHH6iq6uOPP67777+/DhgwQE855RQ99thjtUePHvrhhx86728X/eOiv72wZnhhfntlv70wht555x0dPXq0zpo1K35FtsWLF8eLrSeffFJVVd977z0dN26cdunSRSdPnqxHHHGE9u7du8H5bX0sXaxBXpiLLtrplf12VRBmOgotoI6nn35ap02bpscdd1y9RWvcuHF66623xj99id07ou4pFokWLlyoP/3pT/WAAw7QF154If78kpISnTBhgl566aW6bds2VVV94IEHdMaMGXrUUUfpJZdcop9//rnzPFU3C7UX9lvVvr+tj6WL/Y5EInrRRRfphAkT9De/+U29NzqnnnqqfvLJJ6qq+vXXX2sgENDzzz9fg8Gg/uc//2kw0yv9Y53nItP6WHphfntlv1UzfwxFo1G96aabdPLkyXruuefWK7amTZum//jHP1R1x9/P3HrrrVpUVKR33313/FsM18fSxRpkfRxV2+665pX3GV5AoQX8f4nnEj/11FM7XbRiC0Jskan7sw1599139fTTT9d99923wUVrzpw58U+IYv9t6A9IXeWpunnzkMn77bK/rY+l5X7HznmPRCI6e/ZsPeigg3b6Rif2qXKqMrl/XPS3l9YML8zvTN9vL4yhSCQS/7ff/e53OnHixJ0WW7FvtlJldSxdrEFemYteWNdc7HeMi3Uo01FoATsxf/78BheEc889V0eOHKl33XVXkxmJC9k777zT6KJ12WWXJd1ssalF1SKv7nYXbx4ydb/rsu5v6xdRy/1O9Y3OaaedpgsXLmwy0yv94zLPKtPl3MnU+e2V/a4rU8dQ4mWzGyu2ZsyYoQ8//HD851ryNcJ6DaorE+eiq3Za53nlfYZXUGihzYtN4nXr1unatWuT7lz+97//XadNm6YzZsyILwiVlZU6e/bsBv/QsymLFi1qcNG68cYbddSoUXrVVVeltahY56m6efOQSfvdkv1tfSxd9HckEtGLL7643hudt956S7t166ZnnXVW2p8oZlL/uOhvL68ZXpjfLjJ3Zb+9PIZipxHWLbY++ugjPeigg/TUU0+NX9wgVdZjaFfWIK/MRS+say72e2dcrEOZikILbVpscXjmmWf0sMMO0759++qpp56qf/zjH+PPiS1aJ5xwgr7++utp5a5atUqXLVuWdN77woUL6y1aVVVVevPNNze5qFrlJWa6ePOQqfvtur+tX0Rd9PfSpUv1X//6ly5evDh+VbK6b3Q2b96sqjtOHWns7yEyvX9c9LfX1oxMnt9e2G+vjKFY5ieffKKPPvqo/vOf/9Qvv/wy/m8NFVuffvppo1dxc3UsrdYgr83FTF7XXOx3YmZLFISZikILbd5zzz2nHTp00Jtuukn/9a9/6QUXXKB9+vTR66+/Pv6c+fPn6/jx4/WnP/2pVlVVNfrpTezfnn76aT3ooIO0X79+ethhh+nVV18df05s0RozZow+88wzjbbPOi8x08ULfSbvt6q7/rZ+EXXR3/Pnz9f+/fvrqFGjdMCAATpz5kx9880348+55JJL9OCDD9a5c+fG3+i0ZDtV7fvHOs9Fpqu5k8nz2yv7rZr5Yyhxfvfp00fHjBmj++yzjx555JHxq8ZFo1G9+eab9dBDD9Wf/exnum7dukbb52pds1yDVDN/Lrpqpxf229V89BoKLbRpK1eu1AkTJuidd96pqjtuwte3b18dN26cDh06NGnReuaZZ1K+h8Pzzz+vHTt21Ntuu00/+ugjvfHGG+OXQI1588039cc//rEecsghWllZ2egiaJ2n6ubNQ6bvt6v+tj6WLvp7wYIF2q1bN73jjjtUVfW+++7TLl266LRp0/Tll19W1R0vjDNnztSpU6fq+vXrm9zvTO8fF/3tlTXDC/PbC/vtlTH0yiuvaI8ePeKZTz31lObn5+vIkSP1iSeeUNUd87u4uFinT58ev3dWY6yPpfUa5JW56IV1zcV+q7pZh7yGQgttWigU0l//+te6bNkyXb16tY4cOVIvvvhiXb16tR599NHapUsXveqqq9LKXL16tU6fPl1vu+02Vd3xlfmAAQN06tSpuscee+iFF14Yf+7bb7+tq1atatE8VTcLtRf220V/Wx9LF/tdWVmpZ555ZvzTye+++06HDBmi06dP14MPPlinTJmS9KnymjVrmsz0Qv+46G8vrBlemN9e2W8vjKFQKKQXXXSRFhYWquqO+T148GA9+eST9aSTTtLhw4cnfbMVu5pbY6yPpYs1yAtz0UU7vbLfrgpCr6HQQpsV+9QkHA6rqurcuXP11FNPjd+pPhAI6MiRI/Wwww7TH374IeXc2tpanTdvni5ZskTXrFmje++9t1544YW6efNmvfDCC9Xn8+mZZ57ZanmqbhbqTN9vV/1tfSxd9Lfqjj9oXrx4sW7atEn3228/Peecc1RV9Z577tG8vDwdN26cvvLKK63WTuv+cdHfXlkzvDC/vbDfXhpDS5cu1YULF2pFRYUeeOCBeu6556rqjm+22rdvr927d0/rcu4uxpDlGuSVueiFdc3Ffqu6GUNeRKEF/H+xT/9i5syZozfffHPSH282JbYIxu5l8vvf/16PO+64+Pnwt9xyix5wwAH6ox/9SFevXt3ieYmZLt48tPZ+x56fmLEzlv1t/SJq2d8xsfubPPTQQzpp0qT4J8bPPvusjhs3TmfNmqXffvttSlle6R+XeVaZruZOJs9vr+x3XZk6hhK98MILOn78+Pi3A2+//bYeddRReuWVV+qyZctSynB1LC3XoLoycS42t52t9TqW6e8zvKqdALspVRWfz5fy8yZMmCB///vf5YorrpBQKCQPP/ywvP/++9K1a9eUf2fs92VlZYmIyGeffSabNm2SPffcU0REVq9eLT/5yU/k8ssvl44dOzbZzubkpdrG9u3bi4jIF198Iaoq3bp1ExGRbdu2ybnnnivnnXdeyvtu3c7m5EWjUcnKypIlS5bIDz/8IIcffniD2S762+pYuujvmHbtdiz327dvl1WrVsm6deukd+/e8vbbb8uRRx4pV111ldP+tu6fWN727dslLy9vp3Monf52keniWKaSl+6YbK11qDX3OxKJSHZ2djyjtrY2Pk8SpdPfrfG6kygUCsmSJUvk22+/lYEDB8qzzz4rAwYMkLlz50qXLl1SynDxGiGS3hrklbkYa2dT0l3XrF/HXMzvxH2vm+9qDHkRhRZ2S7EFYOPGjbJmzRrJzs6WXr16xSd5otiCcNJJJ8kPP/wgr776qnTo0EFeeeUVGTp0aIO5qZoxY4a8+uqr8otf/ELat28vTz31lLz33nv1Fun169dLTU2N9OnTZ5fy0mljc1+gUnkjkUo7LfNi+/z555/LQQcdFH/x7t27d72sdPrb+k1TQ33T2O/Ylf7e2fahQ4dK3759ZdasWdK1a1d555135J133nHa39b9E8v74IMP5MILL5T58+fLwIEDG2xbqv3tItPlsXRRYLpeh3ZlrLsoirKzs+XTTz+Vm2++WR544AFp165dg7npjiHL153EY5bK+Bk5cqRMmTJFTj/9dBk0aJB89NFH8tZbbyUVWa6Kg7qauwZ5bS5+//338sEHH0gkEpG99tpLRo8e3ax2unodczm/W/KDTc9y+XUZ0BpiX39/+umnOmbMGN177711zz331JkzZ+qSJUsa/dlQKKTV1dW6ZcuWneauWbNGX3vtNX3rrbeaPBVjzZo1+sc//lEPP/xwPe644/Sjjz6ql/fJJ5/oxIkT9Y477ki6w3q6eYmZq1ev1meffVafeuop/eKLLxrNXLJkiRYUFOiBBx6okydP1sWLFzeYuX379vi2pk5nSGW/rfMWL16subm5ethhh+nQoUPjl4qtra3daW4q/b1hwwb97LPP9Msvv4yf9rAzjR3LWN6yZcv0pptu0iuvvDJ+P5Kd7X+q/f3111/rrbfeqnPnztVnn302flnkne37/Pnz9ZprrtHzzz9fP//88wYzM7V/YnkfffSRduzYUWfPnt1o25rKc5WZmGt9LN9//3096KCDUvrj8VTnt4t1yHKsx9r4v//7v/H82KlozdnvaDSqkUhEx48frz6fT4866qiUcpsaQ5avO7HMdevWxe99lcoV2RYtWqS33XabXn311fV+t/VrhPUa5LW5+PHHH+vw4cN1zJgxOmjQIJ00aVL8/mXptNP165iL+f3ZZ59pbm6uDh48uMmLlzQ1H3dnFFrYLS1dulR79eqlV1xxhX722Wd677336sEHH6z33nuvqu58gd3Z9sTFavDgwTp27FgdOXKk9uvXT//0pz8lnVO9M9u2bau37csvv9SuXbvqZZdd1uSb+KbyrBf+xMwvv/xSZ8yYoc8//3z831K9BGtiO13lLV68WDt16qTXXXedqqpOnTpVp0yZ0mRWU/1t9aYpcfz07dtXp06dqgcffLBmZWXpv/71rybbqdrw+Im1sWvXrnrsscfqkCFDdP/999cxY8bE/9YhcWzWHad1998r/fPxxx9rfn6+/upXv4o/b8OGDbpmzZr4m4iGfraxfbDOdHUsrd+AxtpovQ5ZjnXroijRGWecoZdccolOmjRJJ0+eHP+bkp1prO8sX3di+/fFF1/o6NGj9dJLL42/mU339atupuVrhKrtGhRrXybPxZgvv/xSe/bsqVdffbWuX79eX3zxRR05cmTS/aBSaaerdTKxndbz27og3J1RaGG3s3XrVj399NP17LPPTtp+9tln68EHH5xSUdSQVatW6cCBAzUQCOjmzZv1888/14KCAvX5fDpv3jzdunVrgz/X0O+LRqNaXV2t559/vl5wwQXx573wwgv68MMPxy9zm2pejNXCn2j58uU6dOhQ3WOPPXT69On64osvpvRzO2unizy/35909aIHH3xQhw0bposWLWoyd2esi/U1a9boiBEj9Ne//rVGIhFdv369Tp8+XR988MFG29FYf4dCIT322GPjV++qra3VBQsW6BFHHKE9e/bU//znP/Htqcr0/tmyZYt269ZNx44dG/+9v/jFL3TixInao0cPPfbYY3XBggVp5brIVLU/ltZvQF2tQy7GuqptURRz/fXX65w5c/Tll1/WkSNHxt/YPvTQQ00WH4lcvO589913etBBB+mQIUN0/PjxevXVVzdZbCVq6DnWrxHWa5BX5uLWrVv12GOPTbrsuarqMccco7feeqs++OCD+tZbb6XcThevY9bz23VBuLui0MJuZ+3atXrJJZfo/PnzVfW/n3g+8sgjesghhzS70HrhhRd06tSpSacePPfcc+r3+zUrK0t///vfq2p6i8m0adP03nvv1UgkolOmTNH9999fhw4dqu3atdMrr7wyrU9+rBd+1R1XDLr44ov1pJNO0r/+9a96wgkn6BFHHJHyi5TrPNUdN+qs+wZu/fr12q9fP73sssvSyopx8aZp0aJFOnbsWF27dm1824knnqjnnXeennXWWXrvvfc2eUpHXdu2bdODDjpI77777vi2SCSiX3/9tU6fPl379++f1ilHXumf3/3ud5qXl6e33HKLHnXUUXrEEUfoX//6V73jjjv0tNNO0969ezf6JqIlMq2Ppas3oKq265Cqm7GualcUqf73TePdd9+t//u//6uqO8bq/vvvr3vssYf26tVLN2/enHKB4OJ157HHHtNp06bpxx9/rMXFxTpmzJi0i61ELl4jrNcg1cyfi6o7Cswnn3xS33333fi22A1+DznkEJ08ebL6fD79+9//nlKei3UyxnJ+u/pgc3dGoYXd0ttvvx3//9gL3EsvvaTjxo3Tmpqa+EKQyk0RYx566CHNz89P+rus9957T3/+859rUVGRtm/fPv4i1ZRIJKLbtm3TSZMm6Z/+9Cf905/+pEcffbR+9913un79en3qqac0KytLb7755pTbZ73wx7z66qvxF9E33nhDjz/++F16kbLOqyv2xuiuu+7SAQMG6L///e+0M1y8aXr11VfV5/PF7xMTDAY1JydHzzjjDD3nnHPU5/NpIBBIO/eYY47RU045pd72Tz/9VA855BA966yzGj29qqF2Znr/qO645LDP59PDDz88fhli1R2nWk2ZMkWvuOKKtPvJOtP6WFq/AXWxDqnaj3XroijRV199pYcffnj88ZFHHqm5ubk6ZsyY+LZUc61fdzZv3pw0VoqKiuLF1vfff6+qyeOnqXa6eo2wXoNUM38uqib/vdfzzz+vvXv31meeeUarqqp0+/bteuGFF+qYMWN0w4YNaWdbrJMu5rfLgnB3RaGF3UrdxSzx8WOPPaaDBw/WqqoqVVUtLi7WI444Qrdv357SIvjRRx/p5MmTtaCgQBctWqTvv/++7rHHHnr11Vfr9u3b9dBDD9X77rsvrfb+9re/1cGDB+uRRx6pv/vd75La/Mc//lEHDRqkP/zwQ8qLtMuFP+a1116r94lgdXV1vYsqtFZezPvvv6+DBw/W22+/XVXTO31O1f5NUygU0lmzZqnP59MZM2ZoVlaW/uMf/4j/+8MPP6zt2rVr8m/AVJPH9Z133qljx47Vv/71r/X28be//a3ut99+u3ROfKb2j6rq448/rn/72980EokkHZPp06c3+MavtTJjLI6liwLTeh2yHOuJLIuimP/85z86bNgw3bRpk55//vnap08fveOOO3TMmDG63377pXQsrV93GjvODX2zdeutt+qGDRuabKeq3WtES6xBmT4XE0UikXo/O3fuXJ08efIutdNinbSe34msPjjbnVFowdNiC0MqL4b/+Mc/dO+991ZV1euuu05zcnL0gw8+SOv3/eEPf9BDDz1UO3furD179tTLL788/m9jx45N6w/UVXf8wfhxxx2n7dq1i596GPvk79FHH9WxY8fu9CIITbFe+BOP8auvvhp/kXruued09uzZ2r59e62oqEh5sW5OXjr9rap62WWXad++fZt188aGHu9qsV5TU6Pvvfeevvjiizpt2jQNhUJaW1ur0WhUFyxYoKNHj27whp0NXTErtm3r1q16/PHH64QJE/SJJ55I+ruVl19+WYcOHdqsm4BmQv+kkpf4SXkkEtGamhr9n//5H73xxhtbLLMp1nPH+g2oi3WouWO9Mc0pilLp75/85Cd6wAEHaP/+/fXTTz9V1R030Z04caKuXLmyWZkxqbzupHJFvMTflVhsnXXWWZqVlaVfffVVk22pK53XCBdrkFfmYlPt3Fnxc/HFF+t5552n4XC4xV/HErl8nxFjURDurii04Fn333+/zpkzJz6hm1q0XnvtNT3yyCP1l7/8pfr9fn3//fcbfF5Di2Di/y9btkw/+OCD+M9Ho1HdsmWLHnPMMXr//fenlJfo8ccf13322Ufz8vL0jTfeiG+/9tpr9YgjjmjwbxmsF/5UMhOfo7rjeJ544oman5+v3bp10/fee89pXjr9HctdvHix9ujRQx944IEmn2v1pimVvAULFuiAAQP0u+++i2+bO3eujh8/vt4n041dMau6ulpVVTdt2qRTp07ViRMn6rx58zQUCum2bdv0iiuu0AMPPLDBT5MzvX/Snd+qO/5e5LrrrtM+ffro0qVLWyQzcX9acu5YF5gu1iHV9Ma6dVGUan+fffbZOnDgwKRLTtfU1GhlZWW951q/7qRzRbzEdb2oqEhzcnK0c+fO+uGHH9b7vZavES7WIK/Mxea0s7KyUq+99lrt0aNHvUvnt9brmKv5nWhXC8LdFYUWPCcSiWgoFNLZs2fr2LFjde7cuSktWk8++aT6fD7t2LHjTr/JamwR3NmnzevWrdPrrrtOe/XqpV9//XWz8p5//nmdPn26Zmdn6+GHH65Tp07Vbt26NXgvGeuFP93MxHb/+Mc/1q5du+pnn33mLK+5/a26483EKaecEr/yVV3Wb5pSzVu+fLkeccQReuihh+rcuXP17LPP1j322KPB/o49f2dXzIq90dm8ebOef/75ut9++2nHjh31kEMO0e7duzf4JiyT+6e5ef/617905syZ2qNHj3r77CIzpjXnTsyuFJiu16FUx7plUZRqfyfue2Ih2NBa7/J1J50r4sV+15w5c7Rbt271xo+qm9cIqzXIK3Oxue185ZVX9LzzztM+ffqY7Lfqrr2OtcT7jHQKwraIQgues2rVKlVV3bhxo15zzTU6YcIEDQQCTS4I77zzjh5++OENXp2quYvgihUr9PTTT9eePXs2a1FN/P/y8nJ95JFH9Je//KXedNNN9d4wWS/8u5IZiUT02muv1ezs7Ho3cbTMU21+fzf1+yzfNDUn7+mnn9YzzzxT999/fz399NPjn87XlcoVs2JvdEKhkC5fvlzvu+8+ffrpp3X58uUm+92S/dPcvFdeeUWLiooanN8uMjNl7lgUmK7XocbGuouiKJ3+TvXTehevO6rNuyLeM888oz6fr8Fvx6xfI1JtY6prkBfm4q6084033tB58+bVmzet+TrWEu8zVJsuCNsqCi14yt///ncdPHhw/DKimzZt0quuuirlRWtnN+tr7iKouuMc9LoLSzp5qf5dhvXCv6v7/cYbb9QrDqzzdrW/d8b6TVNz+zsajWplZaWGQqFG25vKFbNSuapXpvfPruY1dF8lF5mqmTN3rApMF+tQKmPduihysWa4et2Jac4V8WJXHUzk4jUinTY2tQZ5ZS7uajtjRadV3s609vxOlG7b2xIKLXjKSy+9pMcff7yOGzcufin1VBatxhaBTHuz6CKz7sK/q5kNLdrWearN7+/GWL9pcvUi2pjmXDHLC/3jor8zbQxZzx1VNwWm9X63RJ5qZo2h5s75VOZ33XHk4jViV9tYlxfmoot2Ztp+t2QmKLTgQa+99pqefPLJOmbMmKQF4eqrr9YJEybo1VdfHf9kLZUr33hhUfVCpos2qmZOf++sza72uyGJP5/u1eu80j/WeS4yvTB3vJDplTHpKrOuTJzflm1Uzfy56KqdXtjvlnwta0sotOAZiQv3K6+8oieddNJOF625c+emdYPETF9UvZJpmdcW+9v6ilku99u6f1z0d1scQ17LzOQxaZ3phfntqo1emYteWNdc7LfLzLaOQgueFTt1oe6CMHfuXB05cqSWlJQ0meGFRdULmS5fTGJ29/62vnqdy/1uiEX/uMyzyszkMeSlTC+OyV3J9ML8dtnGujJxLrpqp3WeF+Y3/otCCxkvtgC8//77+vTTT+vtt9+u69evV1XVd999V0888cSkBWHjxo1aUlKiK1asSPt3ZeKi6sXMXclra/3t4opZLtoZY90/Lvq7rY2h3SEzk8akZaYX5rfLNnplLnphXXOx3y2Z2VZRaMETnnjiCe3Ro4dOnz5dhw4dqmPGjNE77rhDVXecJ37yySfr+PHj9fXXX1fVpq+w44VF1QuZrl5M2lJ/W18xy+V+x1j3j3Wei8xMHkNeyvTKmLTK9ML8dtlG1cyfi67a6YX9bsmCsK2i0ELG++CDD7RXr156//33q6rqypUr1efz6c033xx/zsKFC3Xq1Kl6+OGHa1VVVau8EcvUF3qv7Xdb6m8XV8xyvd/W/eOiv9vSGPJiZqaPSatML8xv1230ylz0wrrmYr9dZeK/KLSQMepO3tjjxx9/XKdOnaqqqkuWLNEhQ4boueeeG3/eDz/8oKo7Fq3EG1k2xguLqhcydyWP/nZ/ladM6h8X/c0Y8l5mJo1JV5kxmTy/rdvolbnohXXNxX63ZCaSUWghI8QW8PLycv33v/+ddMf70tJSPfHEE7W2tlYHDBig559/fvz5zzzzjF5//fU7veGrFxZVL2Ra57Xl/q7L8kphVu207h8X/d2Wx5AXMjN9TLrKrCsT57d1G70yF72wrrnYb1eZSA2FFlpdbPH5/PPPddKkSXrMMcfoKaecEl/Qv/zyS91jjz00JydH58yZk/Szc+bM0ZNOOkm3bNmy09xMXlS9kOkqry32d6LEF75ducpTpvePi/5uy2PIC5mZPiZdZSbK1Plt3UavzcVMXtdc7LerTKSOQgutKrbQf/bZZ9q1a1e95ppr9JtvvolP9Gg0quFwWOfNm6f9+vWLf529fPlyDQQCusceezR4J3ovLKpeyLTOa8v93ZTmXrHQsp3W/eOiv9vyGPJCZqaPSVeZTcmE+W3dRq/MRS+say7221Um0kOhhVa3YcMGnTx5cr1Jnvhp27Jly/Taa6/Vjh07av/+/fVHP/qR7rXXXvrhhx/Wy/PCouqFTFcvJm2xvxtq765e5ckr/WOd5yLTC2PIC5leGZOuMhN/PlPnt2UbXRxHr4whL+x3a3yggPootNDqPv/8cx02bJi+/vrrjV7ZqLq6WpcuXap/+ctf9PXXX9fVq1fvNDPTF1WvZLpoY1vt70RWV3nyQv+46O+2Ooa8kOmFMekqMyaT57d1G70wF1200yv77fq1DE2j0EKre+ihh7Rdu3bxid/QorVt2zZ99913U870wqLqhUwXbWyr/R1jeZUnL/SPi/5uq2PIC5leGJOuMlUzf35bt9ELc9FFO72y3y5fy5AaCi20ukWLFmlubq4+8cQTO33O7bffrtOmTdNwOJxSphcWVS9kumhjW+nvum9MYo8tr/Lkhf5x0d9tZQx5MdMLY9Ii0wvzuyXa6IW56KKdXtlvVx8oIHVZArSyQYMGSefOneXBBx+Ub775Jr5dVeP/v3LlShk7dqzk5OSklDl48GBp166dPPnkkyIikpVVf6j/+c9/lmuvvVaqq6tbPM8rmS7a2Bb6OxqNis/nk3Xr1sn7778vH3zwgfh8PhERWb16tXTu3FkikYhMmzZNpk2bJvfcc4+IiDz77LNyzz33SDgclsmTJ0v//v1bdL9F7PvHRX+3hTHk1UwvjMldzfTC/G6pNnphLrpop1f220Um0kOhhVbXr18/KSsrk5deekl+/etfyxdffCEiIj6fT7Zv3y7XXHONPPHEEzJr1qz4C0VTvLCoeiHTRRt39/6ORqOSlZUlX3zxhZx88sny61//Wn77299KJBIREZFjjjlGFi5cKHl5eXLyySfLPffcE3/xe/nll+XDDz+UcDjcKvstYt8/Lvp7dx9DXs70wpjclUwvzO+WbKMX5qKLdnplv11kIk0t9M0Z0KhIJKJ33323tmvXTkeNGqWzZs3Siy66SE844QTt2bNns/4oc/78+er3+/WMM85IunLOtm3bNBAI6KBBg3Tp0qWtlueVTBdt3F37uzWu8uSF/nHR37vrGNodMr0wJpuT6YX53Rpt9MJcdNFOr+y3i0ykzqeaUNYCrey9996T3/3ud/L1119Lfn6+HHLIIXLOOefIiBEj0s6KRqNy3333yezZs2X48OEyceJEyc3NldWrV8s777wjL774oowZM6bV8ryS6aKNMbtjf2/cuFFOPPFEOfDAA+W2226Lb1fV+Ceby5cvl/vvv19KS0ulW7du0q1bN6murpZHHnmk1fs7kWX/uMizzsyUMeT1TC+NyXQzvTC/W7qNMZk8F1210zrPC/Mb6aHQQsaJRCKSnZ1tlpfJi6qXMl20UWT36+8vvvhCTjjhBPnzn/8skydPrndOfOzNTk1NjaxYsULefvttGTJkiAwfPlz69u3brDY2p52psu4f6zwXma09hnaXTK+MyXQyvTC/W6uNIpk/F2MyfV3zwvxGaii0kHESP3VL/P9dkemLqlcyXbRxd+vvhx9+WGbOnCnV1dXi8/nify+RaPv27fLZZ5/J+PHjzdqYbjtTZd0/Lvp7dxtDu1OmF8ZkOplemN+t2UYvzEURb6xrXpjfaBoXw0DGSVygLBYrkeQr7Vh8tmCd55VMF23c3fq7Na/y5IX+cdHfu9sY2p0yvTAm08n0wvxuzTZ6YS6KeGNd88L8RtMotNAmeGFR9UKmiza60Jr73ZpXefJK/3iBF+aOFzJ3tzHphfm9u11pbncbQ6nywvxG0yi0AMCQi8v+AsgMXpjfXmgj0FbwN1oAYIyrPAG7Ly/Mby+0EWgLKLQAwBGu8gTsvrwwv73QRmB3RqEFAA5xlSdg9+WF+e2FNgK7K/5GCwAc4ipPwO7LC/PbC20Edld8owUAAAAAxvhGCwAAAACMUWgBAAAAgDEKLQAAAAAwRqEFAAAAAMYotAAAAADAGIUWAAAAABij0AIAAAAAYxRaAAAAAGCMQgsAAAAAjFFoAQAAAICx/wdppD+XIoACbQAAAABJRU5ErkJggg==", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Add eficiency of the file, put it in green\n", "\n", "for feature in [\"coms_distance\", \"surface_distance\"]:\n", " print(f\"Creating clustermap for feature: {feature}...\")\n", "\n", " lnk = linkage(squareform(rmsd_combined_mats[feature]), method=\"ward\")\n", "\n", " clusters = fcluster(lnk, t=3, criterion=\"maxclust\")\n", "\n", " cluster_df = pd.DataFrame({\"trace_id\": rmsd_combined_mats[feature].index, \"cluster\": clusters})\n", "\n", " trace_cluster_dict = dict(zip(cluster_df[\"trace_id\"], cluster_df[\"cluster\"]))\n", "\n", " dataframe_spatialfeatures[\"cluster\"] = dataframe_spatialfeatures[\"flag\"].map(trace_cluster_dict)\n", "\n", " labels = [f\"Cell {n.split('_')[1]} allelle {n.split('_')[2]}\" for n in dataframe_spatialfeatures.flag.unique().tolist()]\n", "\n", " row_metadata = dataframe_spatialfeatures.groupby(\"flag\").first().reindex(rmsd_combined_mats[feature].index)\n", "\n", " cluster_values = sorted(row_metadata[\"cluster\"].dropna().unique())\n", " cluster_palette = dict(zip(cluster_values, sns.color_palette(\"rainbow\", n_colors=len(cluster_values))))\n", "\n", " row_colors = pd.DataFrame(\n", " {\n", " \"experiment\": row_metadata[\"experimentID\"].map(color_palette),\n", " \"cluster\": row_metadata[\"cluster\"].map(cluster_palette),\n", " },\n", " index=row_metadata.index,\n", " )\n", "\n", " g = sns.clustermap(\n", " data=rmsd_combined_mats[feature], # Matrix of RMSD between the different experiments\n", " cmap=\"Greens_r\", # Color used\n", " xticklabels=labels, # Labels (basically the file where they come from)\n", " vmax=np.nanquantile(rmsd_combined_mats[feature], 0.95), # Maximum number to do the colors\n", " row_linkage=lnk, # Pre-calculated linkage for the rows\n", " col_linkage=lnk, # Pre-calculated linkage for the columns\n", " row_colors=row_colors, # Color the rows by the experiment they come from\n", " figsize=(10, 12),\n", " )\n", "\n", " g.ax_heatmap.set_xticklabels(\n", " g.ax_heatmap.get_xticklabels(),\n", " rotation=45,\n", " ha=\"right\",\n", " )\n", " g.ax_heatmap.set_ylabel(\"\")\n", " g.ax_heatmap.set_yticklabels([])\n", " g.ax_row_colors.set_xlabel(\"\")\n", " g.ax_row_colors.set_xticks([])\n", "\n", " g.gs.update(bottom=0.05, top=0.7)\n", "\n", " g.cax.set_position((0.02, 0.58, 0.02, 0.1))\n", " g.cax.set_ylabel(\"RMSD\", rotation=90, labelpad=4)\n", "\n", " gs2 = gridspec.GridSpec(1, 1, bottom=0.785)\n", " ax2 = g.fig.add_subplot(gs2[0])\n", " ax2.set_position((g.ax_heatmap.get_position().x0, 0.75, g.ax_heatmap.get_position().width, 0.15))\n", "\n", " sns.kdeplot(data=rmsd_combined_mats[feature].replace(0, np.nan).to_numpy().flatten(), fill=True, alpha=0.5, ax=ax2)\n", " ax2.set_title(f\"Distribution of RMSD values of {feature.replace('_', ' ')}\")\n", " sns.despine()\n", "\n", " if save_plots:\n", " filename = f\"{feature}_rmsd_clustermap\" + (f\"_{file_suffix}\" if file_suffix != \"\" else \"\") + \".pdf\"\n", " plot_filename = Path(plots_folder, filename)\n", " print(f\"Saving plots to: {plot_filename}\")\n", " plt.savefig(plot_filename, **plot_opts)\n", " del filename, plot_filename\n", " else:\n", " plt.show()\n", "\n", " plt.close()\n", "\n", "del feature, lnk, g, gs2, ax2, labels" ] }, { "cell_type": "markdown", "id": "7d2b592b", "metadata": {}, "source": [ "#### heatmap for COMs distances, surface distance, entanglement and collection" ] }, { "cell_type": "markdown", "id": "0f479485", "metadata": {}, "source": [ "Plot mean ensemble matrices for varied spatial measuraments available in CIMA, namely: \n", "
  • coms_distance: The distance score (DS) between two chromosomal segments is calculated as the spatial distance between the centers of mass of each chromosomal segment of the OligoSTORM density maps.\n", "
  • surface_distance: The surface distance score (SDS) between two chromosomal segments is calculated as the minimal spatial distance between the chromosomal segment of the OligoSTORM density maps. \n", "
  • entanglement: The entanglement score (ES) between two chromosomal segments is calculated as the fraction of overlapping voxels within the optimal iso-contour threshold with respect to the smaller of the two density maps. \n", "
  • collection: the N for any given pairs of imaged segments.\n" ] }, { "cell_type": "code", "execution_count": null, "id": "3c004d7b", "metadata": {}, "outputs": [ { "data": { "image/png": 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GSk5O1tGjR60T4w8++KBdxy7xSfAKFSooKSlJycnJ8vPzU7t27TRs2DBt2bJFklS9enVJkp+fnwICAqyvExMTNXToUMXExCgkJERdunTRqFGjNHPmTJv+o6OjNWDAADVo0ECjRo1SeHi4pk6dWmgss2fPVmRkpOrUqVPSlwkAAOD0WBP8+qSkpOj9999X+/btba6ncePG2r17t4GRlQzydAAAAOfgYnLs5iyOHTum9evXa+LEibr//vvl6+vrsLHt8mDMqKgoHThwQIsWLVLXrl2VlpamsLAwJSUlFXlORkaGRo4caa1Q8fb2VmxsrDIzM3Xu3Dlru4iICJvzIiIiCq0w+euvv/T999/rqaeeumqs2dnZOnXqlM1WWGUMAAAAyrYjR47I39+/wP6zZ8+WiUl+qfTn6Za8i1c9BwAAAM6rUqVKho1tl0lwSfLw8FCXLl2UkJCg1atXq2/fvhoxYkSR7c+cOaPExESlp6dbt61bt2rXrl02H0ctrjlz5qhq1ap64IEHrtpu7Nix8vX1tdnenzb5uscDAABwNqwJfn3Cw8P17bffWl9fnvj+6KOPCkzwlmalOU+/uPuH6x4PAADA2fCJTcdz2OPuGzVqpJSUFEmSm5ub8vLybI6HhYVp586dql+//lX7Wbt2rfr06WPzunnz5jZtLBaL5syZoz59+sjNze2q/cXHxysuLs5m39EjF651OQAAAChj3nrrLXXr1k3bt2/XxYsX9e6772r79u1avXq1VqxYYXR4dlOa8nT/hz+61uUAAAAABZT4JHhWVpaio6PVv39/hYaGysfHRxs2bNCECROsC5wHBwcrNTVV7dq1k9lsVuXKlTV8+HB1795dgYGB6tWrl1xcXJSRkaFt27Zp9OjR1v7nz5+v8PBwtW/fXnPnztW6des0e/ZsmxiWLVumPXv2aMCAAdeM12w2y2w22+w7fcpSAncCAAAApUn79u2Vnp6ucePGqWnTplq6dKnCwsK0Zs0aNW3a1OjwblpZyNNNrg6r4QEAAEAZUuJZpLe3t1q3bq0pU6Zo9+7dys3NVd26dRUbG6thw4ZJkiZNmqS4uDjNmjVLtWvX1t69exUZGanFixdr5MiRGj9+vNzc3NSwYcMCCXJiYqLmzZun5557TjVr1tQXX3yhRo0a2bSZPXu22rZtq4YNG5b05QEAAJQaJvHRx+t1yy23aNasWUaHYRfk6QAAAM6BFUouycvL09atWxUUFKTKlSvbdSyTxWIpNWXPJpNJCxYsUI8ePew6zv6/Ttq1/+Jwlm+Ll+fVP6bqCMdPGr88zYZ1/zU6BE1//BujQ3AaQW1rGx2C+o7uYnQIahZaw+gQJDnH/6P+1SoaHYJzcJJMyhnCcHW122NPis3DCf4NfXtsmkPHezW+o0PHs5fDhw/r8OHDys/Pt9kfGhpqUETOz1F5uud979m1/2I58LvREUge3kZH4DwunDE6Auf4fjjDfZC4F3BOzvBz6Qy8jHsg4ZW6P9nV6BA0v2+Y0SGox0cbHDpeyoBwh45XlJdeeklNmzbVU089pby8PHXo0EGrV6+Wl5eXFi9erI4dO9ptbD5PCAAAUEY5wx8kSpONGzcqJiZGO3bsKFCQYDKZCqyVDQAAANwIl3KaqH/11Vd64oknJEn/+te/tGfPHv3222/69NNP9frrr2vVqlV2G5tJcAAAAEBS//791aBBA82ePVs1atSQqZy+OQEAAADs4ejRowoICJAkfffdd4qOjlaDBg3Uv39/vfvuu3Ydu1RNgjvLEiEAAAClAXO41+fPP//U119/rfr16xsdSqlDng4AAFB85TVPr1GjhrZv366aNWtqyZIlmj59uiTp3LlzcnV1tevYxi+YCQAAADiBzp07KyMjw+gwAAAAgDKpX79+evjhh9WkSROZTCbdfffdkqRffvnF7g9OL1WV4AAAACg+lvO4Ph999JFiYmK0bds2NWnSRG5utg83feCBBwyKDAAAAGVJec3T33zzTTVp0kT//e9/FR0dLbPZLElydXXV0KFD7To2k+AAAACApDVr1mjVqlX697//XeAYD8YEAAAAbs4nn3yiRx55xDr5fdljjz2mefPm2XVslkMBAAAoo0wmx26l3QsvvKAnnnhCmZmZys/Pt9mYAAcAAEBJKa95er9+/XTy5MkC+0+fPq1+/frZdWwmwQEAAABJWVlZGjJkiGrUqGF0KAAAAECZY7FYCl0K5q+//pKvr69dx2Y5FAAAgLLKmco+SoGHHnpIy5cv1y233GJ0KAAAACjDXMpZnt68eXOZTCaZTCZ17txZFSr8b0o6Ly9Pe/bsUdeuXe0aA5PgAAAAgKQGDRooPj5eP//8s5o2bVrgwZgvvviiQZEBAAAApVePHj0kSenp6YqMjJS3t7f1mLu7u4KDgxUVFWXXGJgEBwAAKKPKWYHJTfvoo4/k7e2tFStWaMWKFTbHTCYTk+AAAAAoEeUtTR8xYoQkKTg4WI888og8PDwcHgOT4IVwcTH+R/HkqWyjQ5Ak5V7MNzoEbd74l9EhKH3Nf40OwWkEta1tdAj6z+r9RoeghbPXGx2C/OM7Gh2CJBW6npej5eUZ/7vK1dX4x2ycOnXB6BAkSRaL0RFI5y9cNDoE1a9f1egQcJ327NljdAgoDTy8r93G3rwqGR0BnI0z/Fw6C+4F/o7fmZc4yf8b3h5u126EMismJkaSlJOTo8OHDys/3/a9fGBgoN3GZhIcAACgjHKGP1KVRjk5OdqzZ49uueUWm/UKAQAAgJJQXvP0Xbt2qX///lq9erXN/ssPzMzLy7Pb2GT1AAAAgKRz587phRdeUHJysiTp999/V0hIiF544QXVrl1bQ4cONThCAAAAoPTq27evKlSooMWLF6tmzZoO/WMAk+AAAACApPj4eGVkZCgtLc3m6fR333233nzzTSbBAQAAgJuQnp6ujRs3qmHDhg4fm0lwAACAMqqcfsryhqWkpOjLL79UmzZtbKpSGjdurN27dxsYGQAAAMoSJ3gcoSEaNWqko0ePGjK28U/xAgAAAJzAkSNH5O/vX2D/2bNny+26jQAAAEBJGT9+vF577TWlpaUpKytLp06dstnsiUpwAACAMoqJ2+sTHh6ub7/9Vi+88IKk/92/jz76SBEREUaGBgAAgDKkvObpd999tySpc+fONvt5MCYAAADgIG+99Za6deum7du36+LFi3r33Xe1fft2rV69WitWrDA6PAAAAKBUW758uWFjMwkOAABQRpXTApMb1r59e6Wnp2vcuHFq2rSpli5dqrCwMK1Zs0ZNmzY1OjwAAACUEeU1T+/QoYNhYzMJDgAAAPx/t9xyi2bNmmV0GAAAAECZtHLlSs2cOVN//vmn5s+fr9q1a+vTTz9VvXr11L59e7uNy4MxAQAAyiiTg7fS6O8P47naBgAAAJQEk8nk0M1ZfP3114qMjJSnp6c2bdqk7OxsSdLJkyf11ltv2XVsu0yCHzlyRAMHDlRgYKDMZrMCAgIUGRmpVatWSbr0jU5JSbHH0Pr999/14IMPqlq1aqpUqZLat29v6HozAAAAcF5+fn6qXLnyVbfLbcoC8nQAAAAYZfTo0ZoxY4ZmzZolNzc36/527dpp06ZNdh3bLsuhREVFKScnR8nJyQoJCdGhQ4eUmpqqrKwsewxno3v37rr11lu1bNkyeXp66p133lH37t21e/duBQQE2H18AAAAZ+FMVR+FmTZtmt5++20dPHhQd9xxh6ZOnapWrVoV2X7+/PlKSEjQ3r17deutt2r8+PG69957rcfPnDmjoUOHKiUlRVlZWapXr55efPFFPfvss0X2Wd4mYcnTAQAAjOfi3Gm63ezcuVN33nlngf2+vr46ceKEXccu8UnwEydOaOXKlUpLS7Mudh4UFGR9QxMcHCxJ6tmzp/XY3r17JUkLFy5UYmKitm/frlq1aikmJkavv/66KlS4FKbJZNIHH3ygRYsWKS0tTTVr1tSECRPUq1cvSdLRo0e1a9cuzZ49W6GhoZKkcePG6YMPPtC2bdtIrgEAAJzEl19+qbi4OM2YMUOtW7fWO++8o8jISO3cuVP+/v4F2q9evVqPPfaYxo4dq+7du+vzzz9Xjx49tGnTJjVp0kSSFBcXp2XLlumzzz5TcHCwli5dqueee061atXSAw88UGgcRj6cx9HI0wEAAGCkgIAA/fHHH9a887Kff/5ZISEhdh27xJdD8fb2lre3t1JSUqzrulxp/fr1kqQ5c+YoMzPT+nrlypXq06ePBg8erO3bt2vmzJlKSkrSmDFjbM5PSEhQVFSUMjIy1Lt3bz366KPasWOHJKlq1aq67bbb9Mknn+js2bO6ePGiZs6cKX9/f7Vo0aKkLxUAAMCpmUyO3a7H5MmTFRsbq379+qlRo0aaMWOGvLy89PHHHxfa/t1331XXrl316quv6vbbb9eoUaMUFham999/39pm9erViomJUceOHRUcHKynn35ad9xxh9atW1esmLZs2VLotnXrVu3atavQ3LY0IU8HAABwDuV1TfDY2FgNHjxYv/zyi0wmkw4cOKC5c+fqlVde0cCBA+06dolPgleoUEFJSUlKTk6Wn5+f2rVrp2HDhmnLli2SpOrVq0u6tP5iQECA9XViYqKGDh2qmJgYhYSEqEuXLho1apRmzpxp0390dLQGDBigBg0aaNSoUQoPD9fUqVMlXfoB+vHHH7V582b5+PjIw8NDkydP1pIlS8rMOo4AAADOKjs7u8DDJAubbM3JydHGjRt19913W/e5uLjo7rvv1po1awrte82aNTbtJSkyMtKmfdu2bbVo0SLt379fFotFy5cv1++//6577rmnWPE3a9ZMzZs3L7A1a9ZMDRs2lK+vr2JiYnThwoVi9edsyNMBAABgpKFDh+rxxx9X586ddebMGd15550aMGCAnnnmGb3wwgt2HdsuD8aMiorSgQMHtGjRInXt2lVpaWkKCwtTUlJSkedkZGRo5MiR1goVb29vxcbGKjMzU+fOnbO2i4iIsDkvIiLCWmFisVj0/PPPy9/fXytXrtS6devUo0cP3X///crMzCx03OK+WQMAAChtHF1hMnbsWPn6+tpsY8eOLRDX0aNHlZeXpxo1atjsr1Gjhg4ePFjotRw8ePCa7adOnapGjRqpTp06cnd3V9euXTVt2rRC1x0szIIFC3Trrbfqww8/VHp6utLT0/Xhhx/qtttu0+eff67Zs2dr2bJleuONN4rVnzMq7Xm6Je/izd8EAAAAg5kcvDkLk8mk119/XceOHdO2bdu0du1aHTlyRKNGjbL72HZ5MKYkeXh4qEuXLurSpYsSEhI0YMAAjRgxQn379i20/ZkzZ5SYmKiHHnqo0L6KY9myZVq8eLGOHz+uSpUqSZI++OAD/fDDD0pOTtbQoUMLnDN27FglJiba7IuLG6pXXo4v1pgAAAC4JD4+XnFxcTb7zGazw8afOnWq1q5dq0WLFikoKEg//fSTnn/+edWqVatAFXlhxowZo3fffVeRkZHWfU2bNlWdOnWUkJCgdevWqWLFinr55Zc1ceJEe16KXZXmPN21fle5NehWrDEBAADgnNzd3dWoUSOHjmm3SfC/a9SokVJSUiRJbm5uysvLszkeFhamnTt3qn79+lftZ+3aterTp4/N6+bNm0uStRLFxcW2wN3FxUX5+fmF9lfYm7VjWVSCAwAAXC+z2VysSe9q1arJ1dVVhw4dstl/6NChIh+QGBAQcNX258+f17Bhw7RgwQLdd999kqTQ0FClp6dr4sSJxZoE37p1q4KCggrsDwoK0tatWyVdWjKlqMrl0qo05en+D3907QsCAACAU7pw4YKmTp2q5cuX6/DhwwXywE2bNtlt7BKfBM/KylJ0dLT69++v0NBQ+fj4aMOGDZowYYIefPBBSZeePJ+amqp27drJbDarcuXKGj58uLp3767AwED16tVLLi4uysjI0LZt2zR69Ghr//Pnz1d4eLjat2+vuXPnat26dZo9e7akSx+5rFy5smJiYjR8+HB5enpq1qxZ2rNnj/XN0N8V9mbt7JlTJX1bAAAAHM6JnoFjw93dXS1atFBqaqp69OghScrPz1dqaqoGDRpU6DkRERFKTU3VSy+9ZN33ww8/WJfgyM3NVW5uboFJVldX1yInWf+uYcOGGjdunD788EO5u7tb+x03bpwaNmwoSdq/f3+BZVlKi7KQp5tcHVbDAwAAYDcuzpqo29lTTz2lpUuXqlevXmrVqpVDH9pZ4lmkt7e3WrdurSlTpmj37t3Kzc1V3bp1FRsbq2HDhkmSJk2apLi4OM2aNUu1a9fW3r17FRkZqcWLF2vkyJEaP3683Nzc1LBhQw0YMMCm/8TERM2bN0/PPfecatasqS+++MJaPl+tWjUtWbJEr7/+ujp16qTc3Fw1btxYCxcu1B133FHSlwoAAIAbFBcXp5iYGIWHh6tVq1Z65513dPbsWfXr10+S1KdPH9WuXdu6pvjgwYPVoUMHTZo0Sffdd5/mzZunDRs26MMPP5QkVapUSR06dNCrr74qT09PBQUFacWKFfrkk080efLkYsU0bdo0PfDAA6pTp45CQ0MlXaoOz8vL0+LFiyVJf/75p5577rmSvh0OQZ4OAAAAIy1evFjfffed2rVr5/CxTRaLxeLwUW+QyWTSggULrBVD9pJ5wPhK8JOnLhgdgiTJbDa+2mbj+v8aHYI2/rzP6BC0Zup6o0OQJAW1rW10CPrP6v1Gh6BmvRsbHYJi4zsaHYIkOfQvt0WpXdPb6BDk6mqXZ01fl1OnnWM5L2fILM5fMP7hefXrVzU6BH34wRqHjvf0cxHXbnSF999/X2+//bYOHjyoZs2a6b333lPr1q0lSR07dlRwcLDNAxvnz5+vN954Q3v37tWtt96qCRMm6N5777UeP3jwoOLj47V06VIdO3ZMQUFBevrppzVkyJBi/646ffq05s6dq99//12SdNttt+nxxx+Xj4/PdV1beeOoPN3zvvfs2n+xHDtgdASSVyWjI3Ae54x/7wbAyfE78xIP498zSdKjT95ldAia82hTo0NQ7P9tc+h4sx5u4tDxitKoUSPNmzfPWnDiSMbPcAIAAKBcGjRoUJHLn6SlpRXYFx0drejo6CL7CwgI0Jw5c24qJh8fHz377LM31QcAAACAgiZNmqR//vOfmjFjRqHP4rEnJsEBAADKKCf4oEaps2vXriIf1DN8+HCDogIAAEBZ4gyfqDZCeHi4Lly4oJCQEHl5ecnNzc3m+LFjx+w2dqmaBC9FK7cAAACglJk1a5YGDhyoatWqKSAgwObNiclkYhL8KsjTAQAAcC2PPfaY9u/fr7feeks1atQo3Q/GBAAAgHMopwUmN2z06NEaM2aM/vnPfxodCgAAAMqw8pqnr169WmvWrDHkwejGP8ULAAAAcALHjx+/6prjAAAAAG5cw4YNdf78eUPGZhIcAACgjDKZTA7dSrvo6GgtXbrU6DAAAABQxrmYTA7dnMW4ceP08ssvKy0tTVlZWTp16pTNZk8shwIAAABIql+/vhISErR27Vo1bdq0wIN6XnzxRYMiAwAAAEq/rl27SpI6d+5ss99ischkMikvL89uYzMJDgAAUEY5UdFHqfDhhx/K29tbK1as0IoVK2yOmUwmJsEBAABQIpw5T//pp5/09ttva+PGjcrMzNSCBQvUo0cP6/G+ffsqOTnZ5pzIyEgtWbLkmn0vX768pMMtNibBAQAAAEl79uwxOgQAAADAUGfPntUdd9yh/v3766GHHiq0TdeuXTVnzhzra7PZXKy+O3ToUCIx3ggmwQEAAMqosrBONwAAAFDWOHOe3q1bN3Xr1u2qbcxmswICAorV35YtW9SkSRO5uLhoy5YtV20bGhpa7DivF5PgAAAAwP/3119/adGiRdq3b59ycnJsjk2ePNmgqAAAAIAbl52drezsbJt9ZrO52BXcf5eWliZ/f39VrlxZnTp10ujRo1W1atVC2zZr1kwHDx6Uv7+/mjVrJpPJJIvFUqAda4IboHJlT6NDkI+3u9EhSJLy8vKNDkH339/I6BDU7d6GRoegHX2aGx2CJOn06ZxrN7KzhbPXGx2C0uf+anQImnoy+9qNyokxc6KMDkGurkZHIHlXdI5/O9zNxqcX+fkFk6pyyXkLTJxSamqqHnjgAYWEhOi3335TkyZNtHfvXlksFoWFhRkdHpzFhTNGR4ArOcP3w8Pb6Aic4z5I3AsA13TmQq7RITgFFwePN3bsWCUmJtrsGzFihN58883r7qtr16566KGHVK9ePe3evVvDhg1Tt27dtGbNGrkW8sZ4z549ql69uvVroxj/LhUAAABwAvHx8XrllVeUmJgoHx8fff311/L391fv3r2tT7IHAAAASpv4+HjFxcXZ7LvRKvBHH33U+nXTpk0VGhqqW265RWlpaercuXOB9kFBQZKk3NxcJSYmKiEhQfXq1buhsW+Go//wAAAAADilHTt2qE+fPpKkChUq6Pz58/L29tbIkSM1fvx4g6MDAAAAbozZbFalSpVsthudBP+7kJAQVatWTX/88cdV27m5uenrr78ukTFvBJPgAAAAZZTJZHLoVtpVrFjRug54zZo1tXv3buuxo0ePGhUWAAAAypiylKf/9ddfysrKUs2aNa/ZtkePHkpJSbFrPEVhORQAAABAUps2bfTzzz/r9ttv17333quXX35ZW7du1TfffKM2bdoYHR4AAABgd2fOnLGp6t6zZ4/S09NVpUoVValSRYmJiYqKilJAQIB2796t1157TfXr11dkZOQ1+7711ls1cuRIrVq1Si1atFDFihVtjr/44oslfj2XMQkOAABQRpWF6mxHmjx5ss6cufRAtcTERJ05c0Zffvmlbr31Vk2ePNng6AAAAFBWuDhxmr5hwwbddddd1teX1xKPiYnR9OnTtWXLFiUnJ+vEiROqVauW7rnnHo0aNapYy6vMnj1bfn5+2rhxozZu3GhzzGQyMQkOAAAA2FtISIj164oVK2rGjBkGRgMAAAA4XseOHWWxWIo8/v33399w33v27Lnhc28Wa4IDAACUUSaTY7fSLiQkRFlZWQX2nzhxwmaCHAAAALgZLibHbs4mJydHO3fu1MWLFx02JpPgAAAAgKS9e/cqLy+vwP7s7Gzt37/fgIgAAACAsuPcuXN66qmn5OXlpcaNG2vfvn2SpBdeeEHjxo2z69gshwIAAFBGsSZ48SxatMj69ffffy9fX1/r67y8PKWmpio4ONiAyAAAAFAWldc8PT4+XhkZGUpLS1PXrl2t+++++269+eabGjp0qN3GZhIcAAAA5VqPHj0kXXozEhMTY3PMzc1NwcHBmjRpkgGRAQAAAGVHSkqKvvzyS7Vp08bmDwGNGzfW7t277Tq2XZZDOXLkiAYOHKjAwECZzWYFBAQoMjJSq1atknTpDUZKSoo9htamTZvUpUsX+fn5qWrVqnr66ad15swZu4wFAADgzFgTvHjy8/OVn5+vwMBAHT582Po6Pz9f2dnZ2rlzp7p37250mCWCPB0AAMB45XVN8CNHjsjf37/A/rNnz9q9Ot4uk+BRUVHavHmzkpOT9fvvv2vRokXq2LFjoQ8aKkkHDhzQ3Xffrfr16+uXX37RkiVL9Ouvv6pv3752HRcAAACl3549e1StWjWjw7Ar8nQAAAAYJTw8XN9++6319eWJ748++kgRERF2HbvEl0M5ceKEVq5cqbS0NHXo0EGSFBQUpFatWkmSdT3Fnj17Wo/t3btXkrRw4UIlJiZq+/btqlWrlmJiYvT666+rQoVLYZpMJn3wwQdatGiR0tLSVLNmTU2YMEG9evWSJC1evFhubm6aNm2aXFwuze/PmDFDoaGh+uOPP1S/fv2SvlwAAACnVV7XGrwZqampSk1NtVaEX+njjz82KKqSQZ4OAADgHMprmv7WW2+pW7du2r59uy5evKh3331X27dv1+rVq7VixQq7jl3ileDe3t7y9vZWSkqKsrOzCxxfv369JGnOnDnKzMy0vl65cqX69OmjwYMHa/v27Zo5c6aSkpI0ZswYm/MTEhIUFRWljIwM9e7dW48++qh27NghScrOzpa7u7s1sZYkT09PSdLPP/9c0pcKAACAMiQxMVH33HOPUlNTdfToUR0/ftxmK+3I0wEAAGCk9u3bKz09XRcvXlTTpk21dOlS+fv7a82aNWrRooVdxy7xSfAKFSooKSlJycnJ8vPzU7t27TRs2DBt2bJFklS9enVJkp+fnwICAqyvExMTNXToUMXExCgkJERdunTRqFGjNHPmTJv+o6OjNWDAADVo0ECjRo1SeHi4pk6dKknq1KmTDh48qLfffls5OTk6fvy49amimZmZJX2pAAAATs1kMjl0K+1mzJihpKQk/fLLL0pJSdGCBQtsttKOPB0AAMA5uJhMDt2cyS233KJZs2Zp3bp12r59uz777DM1bdrU7uPabU3wAwcOaNGiReratavS0tIUFhampKSkIs/JyMjQyJEjrRUq3t7eio2NVWZmps6dO2dt9/f1YSIiIqwVJo0bN1ZycrImTZokLy8vBQQEqF69eqpRo4ZN1cmVsrOzderUKZutsMoYAAAAlG05OTlq27at0WHYVWnP0y15F2/+JgAAAMAweXl5+uqrrzRq1CiNGjVKX3/9tS5etH+OZ5dJcEny8PBQly5dlJCQoNWrV6tv374aMWJEke3PnDmjxMREpaenW7etW7dq165d8vDwKPa4jz/+uA4ePKj9+/crKytLb775po4cOaKQkJBC248dO1a+vr4229tvj7/u6wUAAEDpNmDAAH3++edGh2F3pTlPv7j7h+u+XgAAADiHX3/9VQ0aNFBMTIz105YxMTG69dZbtW3bNruOXeIPxixKo0aNlJKSIklyc3NTXl6ezfGwsDDt3Lnzmg/FWbt2rfr06WPzunnz5gXa1ahRQ9KlBxhdTvQLEx8fr7i4OJt9lny7/W0AAADAYZzsk49O78KFC/rwww/1448/KjQ0VG5ubjbHJ0+ebFBk9lWa8nT/hz+65vUAAAA4u/I68zhgwAA1btxYGzZsUOXKlSVJx48fV9++ffX0009r9erVdhu7xCfBs7KyFB0drf79+ys0NFQ+Pj7asGGDJkyYoAcffFDSpSfPp6amql27djKbzapcubKGDx+u7t27KzAwUL169ZKLi4syMjK0bds2jR492tr//PnzFR4ervbt22vu3Llat26dZs+ebT3+/vvvq23btvL29tYPP/ygV199VePGjZOfn1+h8ZrNZpnNZpt9F87nlvRtAQAAgJPbsmWLmjVrJkkFKlHKwprnZSFPN7k6rIYHAAAAJSw9Pd1mAlySKleurDFjxqhly5Z2HbvEs0hvb2+1bt1aU6ZM0e7du5Wbm6u6desqNjZWw4YNkyRNmjRJcXFxmjVrlmrXrq29e/cqMjJSixcv1siRIzV+/Hi5ubmpYcOGGjBggE3/iYmJmjdvnp577jnVrFlTX3zxhRo1amQ9vm7dOo0YMUJnzpxRw4YNNXPmTD355JMlfZkAAABOryxM3DrS8uXLjQ7BrsjTAQAAnEN5TdMbNGigQ4cOqXHjxjb7Dx8+fM1PHd4sk8Visdh1hBJkMpm0YMEC9ejRw67jOEMl+MXcvGs3coC8vHyjQ5CHh9u1G9nZRSe4Dzt+O2J0CJKk06dzjA5BC2evNzoEpc/91egQ1LC7ff+BKE3GzIkyOgSZ3V2NDkH5+c7xT7q72fhKTWe4F14V3Y0OQfPmbnboeI/2Lrj0RVlx+PBh+fv7Gx2G03JUnu5533t27b9YDvxudASSh7fRETiPC2eMjsA5vh/OcB8k7gWckzP8XDoDr0pGRyBJ6v5kV6ND0Py+YUaHoNf/7dh8Yky3Bg4dryjfffedXnvtNb355ptq06aNpEtL6I0cOVLjxo1T+/btrW0rVSrZn1nj36UCAADALkwu5bTE5Dp5eXnpP//5j6pXry5Juu+++/TRRx+pZs2akqRDhw6pVq1aBdbKBgAAAG6ESzktBe/evbsk6eGHH7Z+avVyffb9999vfW0ymUo892YSHAAAAOXahQsXdOWHI3/66SedP3/epk0p+vAkAAAA4JSMXH6wVE2C8+YDAACg+MppgYldsL761ZGnAwAAFF95TS07dOhg2Nguho0MAAAAAAAAACgX3nzzTeXnF3zu3smTJ/XYY4/ZdWwmwQEAAMook8nk0K20+nv8pf16AAAA4NxcTI7dnMXs2bPVvn17/fnnn9Z9aWlpatq0qXbv3m3XsZkEBwAAQLlmsVjUoEEDValSRVWqVNGZM2fUvHlz6+uGDRsaHSIAAABQ6m3ZskV16tRRs2bNNGvWLL366qu655579OSTT2r16tV2HbtUrQkOAACA4qOYuXjmzJljdAgAAAAoR1zKaaJeuXJl/d///Z+GDRumZ555RhUqVNC///1vde7c2e5jMwkOAACAci0mJsboEAAAAIByYerUqXr33Xf12GOPaePGjXrxxRf1+eef64477rDruCyHAgAAUEaxJjgAAADgfEwmx27OomvXrkpMTFRycrLmzp2rzZs3684771SbNm00YcIEu47NJDgAAAAAAAAAwK7y8vK0ZcsW9erVS5Lk6emp6dOn66uvvtKUKVPsOjbLoQAAAJRRVGcDAAAAzselnKbpP/zwQ6H777vvPm3dutWuY1MJDgAAAAAAAACwu5UrV+qJJ55QRESE9u/fL0n69NNP9dtvv9l1XCrBC5Gbk2d0CDp1OtvoECRJFb3cjA5B587lGB2CfCp5GB2C6tSuZHQIkiSzu6vRIcg/vqPRIWjqSeP/H/1t8R9GhyBJcnWCn4nTZ4z/fmS7GX8fci/mGx2CJMm/WkWjQ1B+nnPcCwAAAADAJV9//bWefPJJ9e7dW5s3b1Z29qX38idPntRbb72l7777zm5jMwkOAABQRrEayvXJy8tTUlKSUlNTdfjwYeXn2/4xZdmyZQZFBgAAgLLEpPKZqI8ePVozZsxQnz59NG/ePOv+du3aafTo0XYdm0lwAAAAQNLgwYOVlJSk++67T02aNGFNdQAAAKAE7dy5U3feeWeB/b6+vjpx4oRdx2YSHAAAoKxiEve6zJs3T//3f/+ne++91+hQAAAAUIaV1wdjBgQE6I8//lBwcLDN/p9//lkhISF2HZsHYwIAAACS3N3dVb9+faPDAAAAAMqk2NhYDR48WL/88otMJpMOHDiguXPn6pVXXtHAgQPtOjaV4AAAAGUUy3lcn5dfflnvvvuu3n//fe4dAAAA7Ka8VoIPHTpU+fn56ty5s86dO6c777xTZrNZr7zyil544QW7js0kOAAAAKBLH8Ncvny5/v3vf6tx48Zyc3OzOf7NN98YFBkAAABQ+plMJr3++ut69dVX9ccff+jMmTNq1KiRvL297T42k+AAAABlFMXM18fPz089e/Y0OgwAAACUceX9U4fu7u5q1KiRQ8dkEhwAAACQNGfOHKNDAAAAAGAHTIIDAACUUabyutggAAAA4MRI0x2PSXAAAADg//vqq6/0f//3f9q3b59ycnJsjm3atMmgqAAAAADcDJfrPeHIkSMaOHCgAgMDZTabFRAQoMjISK1atUrSpTVtUlJSSjpOSdKYMWPUtm1beXl5yc/Pr9A2+/bt03333ScvLy/5+/vr1Vdf1cWLF+0SDwAAgDMzmRy7lXbvvfee+vXrpxo1amjz5s1q1arV/2vv3uOiLPP/j7+Hg0OEiqdETSFSUypTNA01tU0Xy1IL8bCm5qnv2kGTzfIQuqDmamvZUa00rDVtrSSzsox01zysmadM18wytlQ84gkBhev3hz8mJ9DEZua+GV5PH/ej5r7vmes9N3P4cHHd161q1arp+++/1x133GF1vN9EnQ4AAFA2lKc6PTY2VkePHpUkpaamKicnx5IcpR4JnpCQoPz8fM2bN0/R0dHKyspSRkaGDh8+7I18bvLz85WYmKi4uDjNmTOn2PaCggJ16dJFERERWrNmjfbt26f+/fsrODhYTz31lNfzAQAAoOx6+eWX9corr6hPnz5KS0vT448/rujoaI0fP15HjhyxOt5vok4HAACA3ezYsUOnTp1SlSpVlJKSoj//+c8KDQ31eY5SdYJnZ2dr1apVWrlypdq3by9JioyMVMuWLSVJUVFRkqR77rnHtW3Pnj2SpPfff18pKSnavn27ateurQEDBmjcuHEKCjoXweFw6OWXX9aSJUu0cuVK1apVS9OmTVOPHj1c7aekpEiS0tLSSsz36aefavv27frss89Us2ZNNW3aVBMnTtQTTzyhv/71r6pQoUJpni4AAECZVt6vOl9amZmZat26tSTpiiuu0IkTJyRJ/fr10y233KIXX3zRyngXRZ0OAABQdgSUozq9adOmGjhwoNq2bStjjP7+978rLCysxH3Hjx/vtRylmg4lLCxMYWFhSk9PV15eXrHtX375pSTp9ddf1759+1y3V61apf79+2vEiBHavn27Zs+erbS0NE2ePNnt/snJyUpISNCWLVvUt29f9e7dWzt27LjkfGvXrtWNN96omjVrutbFx8fr+PHj+uabb0rzVAEAAFDOREREuEZ816tXT+vWrZMk/fDDDzLGWBntN1GnAwAAwI7S0tJUrVo1LV26VA6HQx9//LEWL15cbPHWtH1FStUJHhQUpLS0NM2bN0/h4eFq06aNxo4dq61bt0qSatSoIUkKDw9XRESE63ZKSopGjx6tAQMGKDo6Wp06ddLEiRM1e/Zst8dPTEzUkCFD1LBhQ02cOFEtWrTQCy+8cMn59u/f71ZYS3Ld3r9/f4n3ycvL0/Hjx92Wkn5xAAAAgH/7wx/+oCVLlkiSBg4cqJEjR6pTp07q1auXawS1XZWXOt0UMIc4AABAWXLddddp4cKF+vLLL2WMUUZGhjZt2lRs8fZF6Et9YcyEhATt3btXS5YsUefOnbVy5UrFxsZe8NRHSdqyZYtSU1NdI1TCwsI0dOhQ7du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    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(nrows=2, ncols=2, figsize=(15, 13))\n", "\n", "sns.heatmap(\n", " data=mean_combined_mats[\"coms_distance\"],\n", " ax=ax[0, 0],\n", " cmap=\"Reds_r\",\n", " square=True,\n", " vmax=np.nanquantile(mean_combined_mats[\"coms_distance\"], 0.95),\n", " cbar_kws={\"shrink\": 0.95, \"label\": \"Mean COMs distance (nm)\"},\n", " xticklabels=list(tp_names.values()),\n", " yticklabels=list(tp_names.values()),\n", ")\n", "ax[0, 0].set_xticklabels(ax[0, 0].get_xticklabels(), rotation=45, ha=\"right\")\n", "ax[0, 0].set_title(\"COMs distance\", fontsize=20)\n", "\n", "sns.heatmap(\n", " data=mean_combined_mats[\"surface_distance\"],\n", " ax=ax[0, 1],\n", " cmap=\"Reds_r\",\n", " square=True,\n", " vmin=50.0,\n", " vmax=np.nanquantile(mean_combined_mats[\"surface_distance\"], 0.95),\n", " cbar_kws={\"shrink\": 0.95, \"label\": \"Mean Surface distance (nm)\"},\n", " xticklabels=list(tp_names.values()),\n", " yticklabels=list(tp_names.values()),\n", ")\n", "ax[0, 1].set_xticklabels(ax[0, 1].get_xticklabels(), rotation=45, ha=\"right\")\n", "ax[0, 1].set_title(\"Surface distance\", fontsize=20)\n", "\n", "sns.heatmap(\n", " data=mean_combined_mats[\"entanglement\"],\n", " ax=ax[1, 0],\n", " cmap=\"Purples\",\n", " square=True,\n", " vmin=0.0,\n", " vmax=np.nanquantile(mean_combined_mats[\"entanglement\"], 0.9),\n", " cbar_kws={\"shrink\": 0.95, \"label\": \"Mean Entanglement\"},\n", " xticklabels=list(tp_names.values()),\n", " yticklabels=list(tp_names.values()),\n", ")\n", "ax[1, 0].set_xticklabels(ax[1, 0].get_xticklabels(), rotation=45, ha=\"right\")\n", "ax[1, 0].set_title(\"Entanglement\", fontsize=20)\n", "\n", "sns.heatmap(\n", " data=collection_combined_mats[\"coms_distance\"],\n", " ax=ax[1, 1],\n", " cmap=\"Blues\",\n", " square=True,\n", " vmin=0.0,\n", " vmax=np.nanmax(collection_combined_mats[\"coms_distance\"]),\n", " cbar_kws={\"shrink\": 0.95, \"label\": \"Number of experiments with data\"},\n", " xticklabels=list(tp_names.values()),\n", " yticklabels=list(tp_names.values()),\n", ")\n", "ax[1, 1].set_xticklabels(ax[1, 1].get_xticklabels(), rotation=45, ha=\"right\")\n", "ax[1, 1].set_title(\"Collection\", fontsize=20)\n", "\n", "plt.tight_layout()\n", "\n", "if save_plots:\n", " filename = \"summary_heatmaps_coms_surface_entanglement\" + (f\"_{file_suffix}\" if file_suffix != \"\" else \"\") + \".pdf\"\n", " plot_filename = Path(plots_folder, filename)\n", " print(f\"Saving plots to: {plot_filename}\")\n", " plt.savefig(plot_filename, **plot_opts)\n", " del filename, plot_filename\n", "else:\n", " plt.show()\n", "\n", "plt.close()\n", "\n", "del fig, ax" ] }, { "cell_type": "markdown", "id": "36cdd2f8", "metadata": {}, "source": [ "#### heatmap for mean and variation of COMs distance" ] }, { "cell_type": "code", "execution_count": null, "id": "c95b445b", "metadata": {}, "outputs": [ { "data": { 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", "text/plain": [ "
    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mean_vs_variance_heatmap(\n", " mean_matrix=mean_combined_mats[\"coms_distance\"],\n", " std_matrix=std_combined_mats[\"coms_distance\"],\n", " nice_name=nice_names[\"coms_distance\"],\n", " timepoint_name_dict=tp_names,\n", ")" ] }, { "cell_type": "markdown", "id": "4b07d8e4", "metadata": {}, "source": [ "#### heatmap for mean and variation of surface distance" ] }, { "cell_type": "code", "execution_count": null, "id": "f5c602c5", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mean_vs_variance_heatmap(\n", " mean_matrix=mean_combined_mats[\"surface_distance\"],\n", " std_matrix=std_combined_mats[\"surface_distance\"],\n", " nice_name=nice_names[\"surface_distance\"],\n", " timepoint_name_dict=tp_names,\n", ")" ] }, { "cell_type": "markdown", "id": "367a6241", "metadata": {}, "source": [ "#### heatmap for mean and variation of entnglement" ] }, { "cell_type": "code", "execution_count": null, "id": "263a7bab", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mean_vs_variance_heatmap(\n", " mean_matrix=mean_combined_mats[\"entanglement\"],\n", " std_matrix=std_combined_mats[\"entanglement\"],\n", " nice_name=nice_names[\"entanglement\"],\n", " timepoint_name_dict=tp_names,\n", " hm_color=\"Purples\",\n", ")" ] }, { "cell_type": "markdown", "id": "2369b894", "metadata": {}, "source": [ "### Plot the variation matrices for each spatial feature analysed" ] }, { "cell_type": "markdown", "id": "62b6905e", "metadata": {}, "source": [ "[Back to the section index](#spatial-feature-intra-walk)" ] }, { "cell_type": "code", "execution_count": null, "id": "23325ff6", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(nrows=2, ncols=2, figsize=(15, 13))\n", "\n", "sns.heatmap(\n", " data=std_combined_mats[\"coms_distance\"],\n", " ax=ax[0, 0],\n", " cmap=\"Blues_r\",\n", " square=True,\n", " vmax=np.nanquantile(std_combined_mats[\"coms_distance\"], 0.95),\n", " cbar_kws={\"shrink\": 0.95, \"label\": \"Mean COMs distance (nm)\"},\n", " xticklabels=list(tp_names.values()),\n", " yticklabels=list(tp_names.values()),\n", ")\n", "ax[0, 0].set_xticklabels(ax[0, 0].get_xticklabels(), rotation=45, ha=\"right\")\n", "ax[0, 0].set_title(\"COMs distance\", fontsize=20)\n", "\n", "sns.heatmap(\n", " data=std_combined_mats[\"surface_distance\"],\n", " ax=ax[0, 1],\n", " cmap=\"Blues_r\",\n", " square=True,\n", " vmax=np.nanquantile(std_combined_mats[\"surface_distance\"], 0.95),\n", " cbar_kws={\"shrink\": 0.95, \"label\": \"Mean Surface distance (nm)\"},\n", " xticklabels=list(tp_names.values()),\n", " yticklabels=list(tp_names.values()),\n", ")\n", "ax[0, 1].set_xticklabels(ax[0, 1].get_xticklabels(), rotation=45, ha=\"right\")\n", "ax[0, 1].set_title(\"Surface distance\", fontsize=20)\n", "\n", "sns.heatmap(\n", " data=std_combined_mats[\"entanglement\"],\n", " ax=ax[1, 0],\n", " cmap=\"Blues_r\",\n", " square=True,\n", " vmax=np.nanquantile(std_combined_mats[\"entanglement\"], 0.95),\n", " cbar_kws={\"shrink\": 0.95, \"label\": \"Mean Entanglement\"},\n", " xticklabels=list(tp_names.values()),\n", " yticklabels=list(tp_names.values()),\n", ")\n", "ax[1, 0].set_xticklabels(ax[1, 0].get_xticklabels(), rotation=45, ha=\"right\")\n", "ax[1, 0].set_title(\"Entanglement\", fontsize=20)\n", "\n", "ax[-1, -1].axis(\"off\")\n", "\n", "if save_plots:\n", " filename = \"variation_heatmap_allfeatures\" + (f\"_{file_suffix}\" if file_suffix != \"\" else \"\") + \".pdf\"\n", " plot_filename = Path(plots_folder, filename)\n", " print(f\"Saving plots to: {plot_filename}\")\n", " plt.savefig(plot_filename, **plot_opts)\n", " del filename, plot_filename\n", "else:\n", " plt.show()\n", "\n", "plt.close()\n", "\n", "del fig, ax" ] } ], "metadata": { "kernelspec": { "display_name": "CIMA_new_install", "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": "3.12.13" } }, "nbformat": 4, "nbformat_minor": 5 }