From 8c01b062b52795037eb648ebe63d4ea57eaa7115 Mon Sep 17 00:00:00 2001 From: eroell Date: Wed, 6 May 2026 10:56:15 +0200 Subject: [PATCH 1/3] update notebooks v1 --- Patient_trajectories_example.ipynb | 4350 +++++----- differential_analysis.ipynb | 5543 ++++++------ distances_test_example.ipynb | 832 +- representation_methods_example.ipynb | 9818 +++++++++++----------- sources_of_variation_with_gloscope.ipynb | 4746 ++++++----- supervised_methods_example.ipynb | 9637 +++++++++++---------- 6 files changed, 17343 insertions(+), 17583 deletions(-) diff --git a/Patient_trajectories_example.ipynb b/Patient_trajectories_example.ipynb index ffb0482..6a5276b 100644 --- a/Patient_trajectories_example.ipynb +++ b/Patient_trajectories_example.ipynb @@ -1,2190 +1,2272 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Patient trajectory analysis\n", - "\n", - "In this notebook, I'll show you an example of sample representation analysis to infer COVID severity trajectory" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, let's import some packages. You might be unfamiliar with [ehrapy](https://github.com/theislab/ehrapy): a package from Theis lab. It is an extension of `scanpy` for electronic health record (EHR) analysis. Many methods fully overlap (e.g. `scanpy.tl.pca` -> `ehrapy.tl.pca`) but there are a bit more. Think of it as `scanpy` but with a bit more cool features and support for categorical data." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ + "cells": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/vladimir.shitov/miniconda3/envs/sample_representation/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], - "source": [ - "import patpy\n", - "import ehrapy as ep\n", - "import numpy as np\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "import scanpy as sc" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here, I use [COMBAT dataset](https://www.kaggle.com/datasets/shitovvladimir/a-blood-atlas-of-covid-19-combat-preprocessed). It contains PBMC from 140 individuals with various COVID severity. You can find processed dataset, more information about it, and link to the publication on [Kaggle](https://www.kaggle.com/datasets/shitovvladimir/a-blood-atlas-of-covid-19-combat-preprocessed)." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Patient trajectory analysis\n", + "\n", + "In this notebook, I'll show you an example of sample representation analysis to infer COVID severity trajectory" + ] + }, { - "data": { - "text/plain": [ - "AnnData object with n_obs × n_vars = 783677 × 3000\n", - " obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID', 'ifn_1_score', '_scvi_batch', '_scvi_labels', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'pct_counts_in_top_50_genes', 'pct_counts_in_top_100_genes', 'pct_counts_in_top_200_genes', 'pct_counts_in_top_500_genes', 'total_counts_mt', 'log1p_total_counts_mt', 'pct_counts_mt', 'total_counts_ribo', 'log1p_total_counts_ribo', 'pct_counts_ribo'\n", - " var: 'gene_ids', 'feature_types', 'highly_variable', 'highly_variable_rank', 'means', 'variances', 'variances_norm', 'highly_variable_nbatches', 'mt', 'ribo', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts', 'log1p_total_counts'\n", - " uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'X_scpoli', '_scvi_manager_uuid', '_scvi_uuid', 'genome_annotation_version', 'hvg', 'log1p', 'pca', 'scpoli_distances', 'scpoli_parameters', 'scpoli_samples'\n", - " obsm: 'X_pca', 'X_scANVI_batch', 'X_scANVI_sample', 'X_scVI_batch', 'X_scVI_sample', 'X_scpoli', 'X_umap', 'X_umap_source'\n", - " varm: 'PCs'\n", - " layers: 'X_raw_counts'" + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, let's import some packages. You might be unfamiliar with [ehrapy](https://github.com/theislab/ehrapy): a package from Theis lab. It is an extension of `scanpy` for electronic health record (EHR) analysis. Many methods fully overlap (e.g. `scanpy.tl.pca` -> `ehrapy.tl.pca`) but there are a bit more. Think of it as `scanpy` but with a bit more cool features and support for categorical data." ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "adata = sc.read_h5ad(\"/Users/vladimir.shitov/Documents/programming/pat_rep_benchmark/data/combat/combat_processed.h5ad\")\n", - "adata" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "sample_key = \"scRNASeq_sample_ID\"\n", - "cell_type_key = \"Annotation_major_subset\"" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following file contains metadata for donors in COMBAT dataset. It is available on GitHub. We will work with it in ehrapy but note that this is just anndata you are used to in single-cell.\n", - "\n", - "There is a bunch of patient representation methods precalculated. Each of them has distances matrix and UMAP in `obsm`, and donors clustering in `obs`. Think of patient representation as distances between patiens: if a distance is equal to 0, transcriptomics profiles of patients are identical. The bigger the number, the bigger the differences." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "AnnData object with n_obs × n_vars = 137 × 88\n", - " obs: 'Race', 'Institute', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Source', 'Ethnicity', 'longitudinal_oxygen_phase', 'sampled_at_max_severity', 'potential_exclude', 'low_cellnumber_exclude', 'oxygen_status_sample', 'diabetes', 'comp_total', 'comp_minimal', 'comp_minimal_hosp_covid', 'comp_minimal_plus_transitional', 'MJ_samples', 'random_vec_leiden', 'composition_leiden', 'pseudobulk_leiden', 'pseudobulk_scanvi_pool_leiden', 'pseudobulk_scanvi_leiden', 'pseudobulk_scpoli_leiden', 'pseudobulk_scvi_pool_leiden', 'pseudobulk_scvi_leiden', 'scpoli_leiden', 'mrvi_leiden', 'wasserstein_scanvi_pool_leiden', 'wasserstein_scanvi_leiden', 'wasserstein_scvi_pool_leiden', 'wasserstein_scvi_leiden', 'pilot_leiden', 'gloscope_combat_JS_GMM_25_leiden', 'gloscope_combat_KL_GMM_25_leiden', 'gloscope_combat_KL_KNN_25_leiden', 'WHO_ordinal_at_sample', 'Outcome'\n", - " uns: 'Institute_colors', 'Pool_ID_colors', 'Source_colors', 'composition_leiden_colors', 'composition_neighbors', 'encoded_non_numerical_columns', 'encoding_to_var', 'gloscope_combat_JS_GMM_25_leiden_colors', 'gloscope_combat_JS_GMM_25_neighbors', 'gloscope_combat_KL_GMM_25_leiden_colors', 'gloscope_combat_KL_GMM_25_neighbors', 'gloscope_combat_KL_KNN_25_leiden_colors', 'gloscope_combat_KL_KNN_25_neighbors', 'leiden', 'mrvi_leiden_colors', 'mrvi_neighbors', 'non_numerical_columns', 'numerical_columns', 'original_values_categoricals', 'pilot_leiden_colors', 'pilot_neighbors', 'pseudobulk_leiden_colors', 'pseudobulk_neighbors', 'pseudobulk_scanvi_leiden_colors', 'pseudobulk_scanvi_neighbors', 'pseudobulk_scanvi_pool_leiden_colors', 'pseudobulk_scanvi_pool_neighbors', 'pseudobulk_scpoli_leiden_colors', 'pseudobulk_scpoli_neighbors', 'pseudobulk_scvi_leiden_colors', 'pseudobulk_scvi_neighbors', 'pseudobulk_scvi_pool_leiden_colors', 'pseudobulk_scvi_pool_neighbors', 'random_vec_leiden_colors', 'random_vec_neighbors', 'scpoli_leiden_colors', 'scpoli_neighbors', 'var_to_encoding', 'wasserstein_scanvi_leiden_colors', 'wasserstein_scanvi_neighbors', 'wasserstein_scanvi_pool_leiden_colors', 'wasserstein_scanvi_pool_neighbors', 'wasserstein_scvi_leiden_colors', 'wasserstein_scvi_neighbors', 'wasserstein_scvi_pool_leiden_colors', 'wasserstein_scvi_pool_neighbors'\n", - " obsm: 'composition_UMAP', 'composition_distances', 'gloscope_combat_JS_GMM_25_UMAP', 'gloscope_combat_JS_GMM_25_distances', 'gloscope_combat_KL_GMM_25_UMAP', 'gloscope_combat_KL_GMM_25_distances', 'gloscope_combat_KL_KNN_25_UMAP', 'gloscope_combat_KL_KNN_25_distances', 'mrvi_UMAP', 'mrvi_distances', 'pilot_UMAP', 'pilot_distances', 'pseudobulk_UMAP', 'pseudobulk_distances', 'pseudobulk_scanvi_UMAP', 'pseudobulk_scanvi_distances', 'pseudobulk_scanvi_pool_UMAP', 'pseudobulk_scanvi_pool_distances', 'pseudobulk_scpoli_UMAP', 'pseudobulk_scpoli_distances', 'pseudobulk_scvi_UMAP', 'pseudobulk_scvi_distances', 'pseudobulk_scvi_pool_UMAP', 'pseudobulk_scvi_pool_distances', 'random_vec_UMAP', 'random_vec_distances', 'scpoli_UMAP', 'scpoli_distances', 'umap', 'wasserstein_scanvi_UMAP', 'wasserstein_scanvi_distances', 'wasserstein_scanvi_pool_UMAP', 'wasserstein_scanvi_pool_distances', 'wasserstein_scvi_UMAP', 'wasserstein_scvi_distances', 'wasserstein_scvi_pool_UMAP', 'wasserstein_scvi_pool_distances'\n", - " layers: 'original'\n", - " obsp: 'composition_neighbors_connectivities', 'composition_neighbors_distances', 'gloscope_combat_JS_GMM_25_neighbors_connectivities', 'gloscope_combat_JS_GMM_25_neighbors_distances', 'gloscope_combat_KL_GMM_25_neighbors_connectivities', 'gloscope_combat_KL_GMM_25_neighbors_distances', 'gloscope_combat_KL_KNN_25_neighbors_connectivities', 'gloscope_combat_KL_KNN_25_neighbors_distances', 'mrvi_neighbors_connectivities', 'mrvi_neighbors_distances', 'pilot_neighbors_connectivities', 'pilot_neighbors_distances', 'pseudobulk_neighbors_connectivities', 'pseudobulk_neighbors_distances', 'pseudobulk_scanvi_neighbors_connectivities', 'pseudobulk_scanvi_neighbors_distances', 'pseudobulk_scanvi_pool_neighbors_connectivities', 'pseudobulk_scanvi_pool_neighbors_distances', 'pseudobulk_scpoli_neighbors_connectivities', 'pseudobulk_scpoli_neighbors_distances', 'pseudobulk_scvi_neighbors_connectivities', 'pseudobulk_scvi_neighbors_distances', 'pseudobulk_scvi_pool_neighbors_connectivities', 'pseudobulk_scvi_pool_neighbors_distances', 'random_vec_neighbors_connectivities', 'random_vec_neighbors_distances', 'scpoli_neighbors_connectivities', 'scpoli_neighbors_distances', 'wasserstein_scanvi_neighbors_connectivities', 'wasserstein_scanvi_neighbors_distances', 'wasserstein_scanvi_pool_neighbors_connectivities', 'wasserstein_scanvi_pool_neighbors_distances', 'wasserstein_scvi_neighbors_connectivities', 'wasserstein_scvi_neighbors_distances', 'wasserstein_scvi_pool_neighbors_connectivities', 'wasserstein_scvi_pool_neighbors_distances'" + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import patpy\n", + "import ehrdata as ed\n", + "import ehrapy as ep\n", + "import numpy as np\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt" ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "meta_adata = ep.io.read_h5ad(\"data/combat_meta_adata.h5ad\")\n", - "meta_adata" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here, we'll focus on the [GloScope](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-024-03398-1) representation obtained on [scPoli](https://www.nature.com/articles/s41592-023-02035-2) cell embeddings. Notably, this method doesn't use any information about patients: neither their clinical status nor even cell type annotation of the data. However, as we'll see, it provides extremely good patient representation." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "representation = \"gloscope_combat_KL_KNN_25\"" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ + }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Read the data\n", + "\n", + "Here, we use a preprocessed version of the COMBAT dataset. {cite}`ahern2022blood` This dataset contains 783k cells from 140 COVID-19 patients and healthy donors.\n", + "\n", + "`patpy` provides a ready-to-use version of this data in `AnnData` format." ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Set obsm key so that standart umap plotting uses this representation\n", - "meta_adata.obsm[\"umap\"] = meta_adata.obsm[f\"{representation}_UMAP\"]\n", - "# Plot UMAP, just like in scanpy. Note that every dot is a donor here!\n", - "ep.pl.umap(meta_adata, color=[f\"{representation}_leiden\", \"Source\"])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's rename some of the columns for a better readability:" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "meta_adata.obs[\"Source\"] = meta_adata.obs[\"Source\"].map(\n", - " {\n", - " \"HV\": \"Healthy\",\n", - " \"COVID_MILD\": \"Mild\",\n", - " \"COVID_SEV\": \"Severe\",\n", - " \"COVID_CRIT\": \"Critical\",\n", - " \"COVID_HCW_MILD\": \"Mild\", # These are healthcare workers with mild disease\n", - " \"COVID_LDN\": \"Critical\",\n", - " \"Sepsis\": \"Sepsis\",\n", - " \"Flu\": \"Flu\",\n", - " }\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "source_palette = {\n", - " \"Healthy\": \"#1f77b4\", # HV\n", - " \"Mild\": \"#ff9999\", # COVID_MILD\n", - " \"Severe\": \"#ff4c4c\", # COVID_SEV\n", - " \"Critical\": sns.color_palette(\"Reds\")[-1], # COVID_CRIT\n", - " # \"Other\": \"darkgrey\",\n", - " \"Sepsis\": \"#8c564b\", # Sepsis\n", - " \"Flu\": \"#ff7f0e\", # Flu\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "no_box = {\n", - " \"axes.spines.top\": False,\n", - " \"axes.spines.right\": False,\n", - " \"axes.spines.left\": False,\n", - " \"axes.spines.bottom\": False,\n", - " \"xtick.bottom\": False,\n", - " \"xtick.labelbottom\": False,\n", - " \"ytick.left\": False,\n", - " \"ytick.labelleft\": False,\n", - "}\n", - "plot_params = {\"figure.figsize\": (5, 5), \"figure.dpi\": 150, \"axes.grid\": False}\n", - "plot_params.update(no_box)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ + }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "AnnData object with n_obs × n_vars = 783677 × 3000\n", + " obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID', 'ifn_1_score', '_scvi_batch', '_scvi_labels', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'pct_counts_in_top_50_genes', 'pct_counts_in_top_100_genes', 'pct_counts_in_top_200_genes', 'pct_counts_in_top_500_genes', 'total_counts_mt', 'log1p_total_counts_mt', 'pct_counts_mt', 'total_counts_ribo', 'log1p_total_counts_ribo', 'pct_counts_ribo', 'vertex', 'eigenvector_centrality'\n", + " var: 'gene_ids', 'feature_types', 'highly_variable', 'highly_variable_rank', 'means', 'variances', 'variances_norm', 'highly_variable_nbatches', 'mt', 'ribo', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts', 'log1p_total_counts'\n", + " uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'X_gloscope_cuml_distances', 'X_gloscope_pynndescent_distances', 'X_scpoli', '_scvi_manager_uuid', '_scvi_uuid', 'genome_annotation_version', 'gloscope_representation', 'gloscope_scpoli_distances', 'hvg', 'log1p', 'neighbors', 'pca', 'scpoli_distances', 'scpoli_parameters', 'scpoli_samples'\n", + " obsm: 'X_pca', 'X_scANVI_batch', 'X_scANVI_sample', 'X_scVI_batch', 'X_scVI_sample', 'X_scpoli', 'X_umap', 'X_umap_source'\n", + " varm: 'PCs'\n", + " layers: 'X_raw_counts'\n", + " obsp: 'connectivities', 'distances'" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "DatasetInfo(n_donors=140, n_cells=783677, n_features=3000, sample_key='scRNASeq_sample_ID', cell_type_key='Annotation_major_subset', sample_metadata_columns=['Source', 'Outcome', 'Death28', 'Institute', 'Pool_ID'])" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "adata, combat_info = patpy.datasets.combat_preprocessed(return_dataset_info=True)\n", + "display(adata)\n", + "display(combat_info)" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "with plt.rc_context(plot_params):\n", - " sns.scatterplot(\n", - " x=meta_adata.obsm[f\"{representation}_UMAP\"][:, 0],\n", - " y=meta_adata.obsm[f\"{representation}_UMAP\"][:, 1],\n", - " hue=meta_adata.obs[\"Source\"],\n", - " palette=source_palette,\n", - " hue_order=source_palette.keys(),\n", - " s=150,\n", - " )\n", - " plt.legend(loc=(1.05, 0.6), title=\"Condition\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note how all the healthy donors group together, and the severity gradient to the top. This is remarkable because sample representation methods knows nothing about donors condition and only evaluates how similar their transcriptomics profiles are. There are also some mild and even a septic patient grouping together with healthy. Are those errors of the method or misannotations?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With ehrapy, we can apply some single-cell methods to our data. For example, having a sample representation, we can discover trajectories in it via diffusion pseudotime. For this, we need to set the start of trajectory. Let's take a look at the lowest patient on the UMAP:" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "'Healthy'" + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "sample_key = \"scRNASeq_sample_ID\"\n", + "cell_type_key = \"Annotation_major_subset\"" ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "control_donor_idx = meta_adata.obsm[f\"{representation}_UMAP\"][:, 1].argmin()\n", - "control_donor = meta_adata.obs_names[control_donor_idx]\n", - "meta_adata.obs.loc[control_donor, \"Source\"]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Some variables are stored in `meta_adata.X` rather then in `.obs`. You can check which ones by running `meta_adata.var_names`" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "ArrayView([[74., 0., 5., 0.]], dtype=float32)" + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The following file contains metadata for donors in COMBAT dataset. It is available on GitHub. We will work with it in ehrapy but note that this is just anndata you are used to in single-cell.\n", + "\n", + "There is a bunch of patient representation methods precalculated. Each of them has distances matrix and UMAP in `obsm`, and donors clustering in `obs`. Think of patient representation as distances between patiens: if a distance is equal to 0, transcriptomics profiles of patients are identical. The bigger the number, the bigger the differences." ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "meta_adata[control_donor, [\"Age\", \"Sex\", \"BMI\", \"Smoking\"]].X" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Ok, so we have a 74-years old non-smoking individual. Perhaps, somebody younger would be a better control but this should be a good start. Also, the dataset has a bit of bias for the older population:" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "" + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[93m!\u001b[0m This operation does not affect numeric layer X.\n", + "\u001b[93m!\u001b[0m This operation does not affect numeric layer original.\n" + ] + }, + { + "data": { + "text/plain": [ + "EHRData object with n_obs × n_vars × n_t = 137 × 88 × 1\n", + " obs: 'Race', 'Institute', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Source', 'Ethnicity', 'longitudinal_oxygen_phase', 'sampled_at_max_severity', 'potential_exclude', 'low_cellnumber_exclude', 'oxygen_status_sample', 'diabetes', 'comp_total', 'comp_minimal', 'comp_minimal_hosp_covid', 'comp_minimal_plus_transitional', 'MJ_samples', 'random_vec_leiden', 'composition_leiden', 'pseudobulk_leiden', 'pseudobulk_scanvi_pool_leiden', 'pseudobulk_scanvi_leiden', 'pseudobulk_scpoli_leiden', 'pseudobulk_scvi_pool_leiden', 'pseudobulk_scvi_leiden', 'scpoli_leiden', 'mrvi_leiden', 'wasserstein_scanvi_pool_leiden', 'wasserstein_scanvi_leiden', 'wasserstein_scvi_pool_leiden', 'wasserstein_scvi_leiden', 'pilot_leiden', 'gloscope_combat_JS_GMM_25_leiden', 'gloscope_combat_KL_GMM_25_leiden', 'gloscope_combat_KL_KNN_25_leiden', 'WHO_ordinal_at_sample', 'Outcome', 'Sex', 'BMI', 'Smoking', 'Age'\n", + " uns: 'Institute_colors', 'Pool_ID_colors', 'Source_colors', 'composition_leiden_colors', 'composition_neighbors', 'encoded_non_numerical_columns', 'encoding_to_var', 'gloscope_combat_JS_GMM_25_leiden_colors', 'gloscope_combat_JS_GMM_25_neighbors', 'gloscope_combat_KL_GMM_25_leiden_colors', 'gloscope_combat_KL_GMM_25_neighbors', 'gloscope_combat_KL_KNN_25_leiden_colors', 'gloscope_combat_KL_KNN_25_neighbors', 'leiden', 'mrvi_leiden_colors', 'mrvi_neighbors', 'non_numerical_columns', 'numerical_columns', 'original_values_categoricals', 'pilot_leiden_colors', 'pilot_neighbors', 'pseudobulk_leiden_colors', 'pseudobulk_neighbors', 'pseudobulk_scanvi_leiden_colors', 'pseudobulk_scanvi_neighbors', 'pseudobulk_scanvi_pool_leiden_colors', 'pseudobulk_scanvi_pool_neighbors', 'pseudobulk_scpoli_leiden_colors', 'pseudobulk_scpoli_neighbors', 'pseudobulk_scvi_leiden_colors', 'pseudobulk_scvi_neighbors', 'pseudobulk_scvi_pool_leiden_colors', 'pseudobulk_scvi_pool_neighbors', 'random_vec_leiden_colors', 'random_vec_neighbors', 'scpoli_leiden_colors', 'scpoli_neighbors', 'var_to_encoding', 'wasserstein_scanvi_leiden_colors', 'wasserstein_scanvi_neighbors', 'wasserstein_scanvi_pool_leiden_colors', 'wasserstein_scanvi_pool_neighbors', 'wasserstein_scvi_leiden_colors', 'wasserstein_scvi_neighbors', 'wasserstein_scvi_pool_leiden_colors', 'wasserstein_scvi_pool_neighbors'\n", + " obsm: 'composition_UMAP', 'composition_distances', 'gloscope_combat_JS_GMM_25_UMAP', 'gloscope_combat_JS_GMM_25_distances', 'gloscope_combat_KL_GMM_25_UMAP', 'gloscope_combat_KL_GMM_25_distances', 'gloscope_combat_KL_KNN_25_UMAP', 'gloscope_combat_KL_KNN_25_distances', 'mrvi_UMAP', 'mrvi_distances', 'pilot_UMAP', 'pilot_distances', 'pseudobulk_UMAP', 'pseudobulk_distances', 'pseudobulk_scanvi_UMAP', 'pseudobulk_scanvi_distances', 'pseudobulk_scanvi_pool_UMAP', 'pseudobulk_scanvi_pool_distances', 'pseudobulk_scpoli_UMAP', 'pseudobulk_scpoli_distances', 'pseudobulk_scvi_UMAP', 'pseudobulk_scvi_distances', 'pseudobulk_scvi_pool_UMAP', 'pseudobulk_scvi_pool_distances', 'random_vec_UMAP', 'random_vec_distances', 'scpoli_UMAP', 'scpoli_distances', 'umap', 'wasserstein_scanvi_UMAP', 'wasserstein_scanvi_distances', 'wasserstein_scanvi_pool_UMAP', 'wasserstein_scanvi_pool_distances', 'wasserstein_scvi_UMAP', 'wasserstein_scvi_distances', 'wasserstein_scvi_pool_UMAP', 'wasserstein_scvi_pool_distances'\n", + " layers: 'original'\n", + " obsp: 'composition_neighbors_connectivities', 'composition_neighbors_distances', 'gloscope_combat_JS_GMM_25_neighbors_connectivities', 'gloscope_combat_JS_GMM_25_neighbors_distances', 'gloscope_combat_KL_GMM_25_neighbors_connectivities', 'gloscope_combat_KL_GMM_25_neighbors_distances', 'gloscope_combat_KL_KNN_25_neighbors_connectivities', 'gloscope_combat_KL_KNN_25_neighbors_distances', 'mrvi_neighbors_connectivities', 'mrvi_neighbors_distances', 'pilot_neighbors_connectivities', 'pilot_neighbors_distances', 'pseudobulk_neighbors_connectivities', 'pseudobulk_neighbors_distances', 'pseudobulk_scanvi_neighbors_connectivities', 'pseudobulk_scanvi_neighbors_distances', 'pseudobulk_scanvi_pool_neighbors_connectivities', 'pseudobulk_scanvi_pool_neighbors_distances', 'pseudobulk_scpoli_neighbors_connectivities', 'pseudobulk_scpoli_neighbors_distances', 'pseudobulk_scvi_neighbors_connectivities', 'pseudobulk_scvi_neighbors_distances', 'pseudobulk_scvi_pool_neighbors_connectivities', 'pseudobulk_scvi_pool_neighbors_distances', 'random_vec_neighbors_connectivities', 'random_vec_neighbors_distances', 'scpoli_neighbors_connectivities', 'scpoli_neighbors_distances', 'wasserstein_scanvi_neighbors_connectivities', 'wasserstein_scanvi_neighbors_distances', 'wasserstein_scanvi_pool_neighbors_connectivities', 'wasserstein_scanvi_pool_neighbors_distances', 'wasserstein_scvi_neighbors_connectivities', 'wasserstein_scvi_neighbors_distances', 'wasserstein_scvi_pool_neighbors_connectivities', 'wasserstein_scvi_pool_neighbors_distances'\n", + " shape of .X: (137, 88)\n", + " shape of .original: (137, 88)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "meta_adata = ed.io.read_h5ad(\"data/combat_meta_adata.h5ad\")\n", + "ed.move_to_obs(meta_adata, [\"Age\", \"Sex\", \"BMI\", \"Smoking\"], copy_columns=True)\n", + "meta_adata" ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's rename some of the columns for a better readability:" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.histplot(meta_adata[:, \"Age\"].X)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's set this individual as a root for pseudotime, and run the diffusion:" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING: Trying to run `tl.dpt` without prior call of `tl.diffmap`. Falling back to `tl.diffmap` with default parameters.\n" - ] - } - ], - "source": [ - "meta_adata.uns[\"iroot\"] = np.flatnonzero(meta_adata.obs_names == control_donor)[0]\n", - "ep.tl.dpt(meta_adata, neighbors_key=f\"{representation}_neighbors\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We now have a contunuous score from 0 (for the root we set) to 1 (for a most dissimilar sample), putting every donor on a continuous trajectory" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "meta_adata.obs[\"Source\"] = meta_adata.obs[\"Source\"].map(\n", + " {\n", + " \"HV\": \"Healthy\",\n", + " \"COVID_MILD\": \"Mild\",\n", + " \"COVID_SEV\": \"Severe\",\n", + " \"COVID_CRIT\": \"Critical\",\n", + " \"COVID_HCW_MILD\": \"Mild\", # These are healthcare workers with mild disease\n", + " \"COVID_LDN\": \"Critical\",\n", + " \"Sepsis\": \"Sepsis\",\n", + " \"Flu\": \"Flu\",\n", + " }\n", + ")\n", + "meta_adata.obs[\"Disease\"] = meta_adata.obs[\"DiseaseClassification\"].map(\n", + " {\n", + " \"COVID-19;MONDO:0100096\": \"COVID-19\",\n", + " \"Sepsis;HP:010080\": \"Sepsis\",\n", + " \"Influenza;MONDO:0005812\": \"Influenza\",\n", + " }\n", + ")" + ] + }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And lets have a quick overview of our Cohort:" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "with plt.rc_context(plot_params):\n", - " sns.scatterplot(\n", - " x=meta_adata.obsm[f\"{representation}_UMAP\"][:, 0],\n", - " y=meta_adata.obsm[f\"{representation}_UMAP\"][:, 1],\n", - " hue=meta_adata.obs[\"dpt_pseudotime\"],\n", - " s=150,\n", - " palette=\"Reds\",\n", - " )\n", - " plt.legend(loc=(1.05, 0.6), title=\"Diffusion pseudotime\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "But is this score meaningful? Let's take a look at how it corresponds to the severity:" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "Text(0, 0.5, '')" + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "categorical_participant_covariates = [\n", + " \"Institute\",\n", + " \"Source\",\n", + " \"Disease\",\n", + " \"Ethnicity\",\n", + " \"diabetes\",\n", + " \"Outcome\",\n", + " \"BMI\",\n", + " \"Smoking\",\n", + " \"Sex\",\n", + "]\n", + "continuous_participant_covariates = [\n", + " \"Age\"\n", + "]\n", + "all_participant_covariates = categorical_participant_covariates + continuous_participant_covariates\n", + "meta_adata.obs = meta_adata.obs.astype(str)" ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ct = ep.tl.CohortTracker(\n", + " meta_adata, all_participant_covariates, categorical_participant_covariates)\n", + "ct(meta_adata, \"COMBAT Cohort\")\n", + "ct.plot_cohort_barplot(legend_kwargs={\"fontsize\": 8})" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.boxplot(\n", - " x=meta_adata.obs[\"dpt_pseudotime\"],\n", - " y=meta_adata.obs[\"Source\"],\n", - " palette=source_palette,\n", - " order=[key for key in source_palette.keys() if key in meta_adata.obs[\"Source\"].unique()],\n", - ")\n", - "plt.xlabel(\"Diffusion pseudotime (severity score)\")\n", - "plt.ylabel(\"\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We see that higher severity patients have a higher pseudotime score! But instead of a coarse clinical resolution, we now have a continuous trajectory. We now can take a look at what correlates with this trajectory. It could be:\n", - "- Cell type proportions\n", - "- Gene expression\n", - "\n", - "For the former, let's calculate cell type composition for each patient. You can easily do it with `patpy` package:" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here, we'll focus on the [GloScope](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-024-03398-1) representation obtained on [scPoli](https://www.nature.com/articles/s41592-023-02035-2) cell embeddings. Notably, this method doesn't use any information about patients: neither their clinical status nor even cell type annotation of the data. However, as we'll see, it provides extremely good patient representation." + ] + }, { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
correlationp_valuep_value_adj-log_p_value_adj
PB0.4512393.131071e-085.322821e-0714.446092
PLT0.4357271.028075e-075.825759e-0714.355806
DC-0.4385868.293978e-085.825759e-0714.355806
cMono0.4307601.485891e-076.315037e-0714.275162
MAIT-0.4221332.778327e-079.446311e-0713.872471
HSC0.3396314.902797e-051.389126e-048.881666
NK-0.3334246.850823e-051.663771e-048.701253
iNKT-0.2981634.019908e-048.542304e-047.065310
CD8-0.2917425.421241e-041.024012e-036.884027
DN-0.2386904.970933e-037.682351e-034.868830
GDT-0.2401014.712976e-037.682351e-034.868830
DP-0.2313606.524369e-039.242856e-034.683904
ncMono-0.2207009.553095e-031.249251e-024.382626
RET0.2056141.593459e-021.934915e-023.945107
CD4-0.1930112.383841e-022.701686e-023.611294
B0.1727374.353834e-024.625949e-023.073489
Mast-0.0517135.484133e-015.484133e-010.600726
\n", - "
" + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "representation = \"gloscope_combat_KL_KNN_25\"" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABOoAAAGvCAYAAADlrzqnAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjksIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvJkbTWQAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsnQV4VNcWhVfc3T2EKAkS3L1IgUJLoVCBuru7u7tRQ0pxirt7gACBGAlxd/eZed8+vNAQnZl7JjNJzv99970ymTn3jt5z19l7LT2FQqGAQCAQCAQCgUAgEAgEAoFAINAq+trdvUAgEAgEAoFAIBAIBAKBQCAghFAnEAgEAoFAIBAIBAKBQCAQ6ABCqBMIBAKBQCAQCAQCgUAgEAh0ACHUCQQCgUAgEAgEAoFAIBAIBDqAEOoEAoFAIBAIBAKBQCAQCAQCHUAIdQKBQCAQCAQCgUAgEAgEAoEOIIQ6gUAgEAgEAoFAIBAIBAKBQAcQQp1AIBAIBAKBQCAQCAQCgUCgAwihTiAQCAQCgUAgEAgEAoFAINABhFAnaBNfX1/cfffd4hXqAtD7ZGlpqe3DEOg448ePZ5smfw/++usv6OnpISUlRa39CAQCgUAgEAgEAkFPRgh1AoGgVT788EP8+++/ar06JNQ8/vjjrY5Jf7v33nshl8uZmEP//vzzzyW9C2+//TYbp6Cg4Lrb09PT0bt3b9jb2yMyMpLdRmIT3bdfv35QKBQdHnvjMdK2fv16pffdHnFxcXjxxRcxYMAAWFlZwc3NDTNmzMCZM2faHL/5ZmpqqvT+BAKBQCAQ6BYXL17ErbfeCh8fH3ZO9/DwwA033IDvvvtO24cmEAgEAi1jqO0DEAgEugmJajSBnDNnDpfxPv74Y7z22mtYvHgxfvvtN+jra3adIDMzExMmTEBRURH27t2LgQMHtpggb9iwAXPnzlV6zHfffRe33HILE8qkQM//999/Z/t+9NFHUVpail9++QXDhw/Hzp07MXny5BaP+emnn66rmjQwMEBnEh8fr/H3TCAQCASCnsDx48fZHMXb2xsPPPAAXF1d2eLiyZMn8c033+CJJ57Q9iEKBAKBQIsIoU4gEGiczz77DK+88goWLVqEP/74Q+OCT1ZWFpsAFxYWYs+ePRg0aNB1fzczM4OXl5dKwhtVv50/fx4bN25kj5HCwoULWaVcU+GNqgxDQkLY7a0JdSSaOjo6QluYmJhobd8CgUAgEHQnPvjgA9jY2OD06dOwtbW97m95eXmdeiyVlZWwsLDo1H0KBAKBoH1EeUQP5eDBgxg8eDArtafWQKrmaWyxa4+kpCTMmzePtRKam5uzCqBt27a1uB+V7YeGhrL72NnZsX2tXLmyRcXTfffdB3d3dyYC9OrVC4888gjq6upU2h89Fzru1atX49VXX2WrkjThuOmmm9jqZHNOnTqFadOmsQkSjTlu3DgcO3ZM5deQWjdp1bNv377sdXRycmLjNm1fbGhowHvvvcdeY3qO5PNFx1hbW3vdWHT7zJkzr70vJCTRuPRvgiq/GvdDotO5c+daPSZ6vaZOncqeP72uJEQ1b++kNtORI0fCwcGB7YfGW7du3XX3odeTJm5Lly691mqprl/hl19+ydo877zzTvz5558aF+mys7OZSEcT3d27d7PXszl0DK+//jqioqKY8KYMCxYsQGBgYKuvqarQa97cU5DejzFjxiA2NrbVx9A+y8rKJO+7OfRZfOutt+Dv788+oyRg0vvV2me0+WcgOjoaEydOZJ8jT09PvP/+++x70Ro7duxgz48+m9TuS62+9PjWvBbpt4EqOem/6Xv1/PPPQyaTcX3eAoFAIBBoiytXrrB5cnORjnB2dlZ5HknzNJrHN6f5ubvRR/bQoUOsop/2RefvpudqmhfTedra2hpDhgxpMX/nNY8WCAQCQdsIoa4HQiIPnWCp2uidd95hYhmJDx35keXm5jKBZ9euXezkTquBNTU1TBBrKnYsWbIETz75JPr06YOvv/6a7YOqkejE3rTiaejQoVi1ahVuu+02fPvtt7jrrrvYxKGqqkql/TVCfycR76WXXmL7p0oqqkyqrq6+dp/9+/dj7NixTPAgcYLaO0tKSpjYEBERodLrSK/b008/zYSNTz75BC+//DIT0qhtoZH7778fb775Jmu7/Oqrr9hk5qOPPmKiT3MSExNx++23Y9asWew+xcXF7L///vtvPPPMM0zooteSJnfz589vIYiQkEHvq4uLCz799FMmBtFzpK0pJC6Gh4ez95yev6GhIRNDmwqgy5cvZxNCElbov2l76KGHVHp9Gvf13HPPsedFk0NNi3T0maH3Micnh31uaILZFnRMAQEBSgtv1GpK4t6FCxeUFvdUhY67rao5Pz8/NimmyTN9Fui5SoU+Q/R9IvGWPmsksJNARp9V+l52dKwkiFKVIX326buwbNky9p43hz4/JMyR8EbflTfeeAMxMTEYPXp0i9AJ+hyT2EzCJR0XfWe++OIL/Prrr5Kfr0AgEAgEugD50p09exaXLl1q936qzCNVgebVdB6msekcTtA8jc7VZBlCXRBkWULzd7Lk0MQ8WiAQCATtoBD0OGbNmqUwNzdXZGZmXrstISFBYWhoSGrFtdt8fHwUixcvvvbvp59+mv39yJEj124rLy9X9OrVS+Hr66uQyWTsttmzZytCQ0PbPYZFixYp9PX1FadPn27xN7lcrtL+Dhw4wO7n4eGhKCsru3bfNWvWsNu/+eaba+MGBAQopk6dem0fRFVVFRvzhhtuUPo13L9/Pxv7ySefbPP4z58/z+5z//33X/f3559/nt1OYzR9rem248ePX7tt165d7DYzMzNFamrqtdt/+eUXdjs970bofaLbnnjiieuOY8aMGQpjY2NFfn7+dc+3KXV1dYqwsDDFxIkTr7vdwsLiuvdfFehYGp/TwoULFQ0NDa3eLzk5md3ns88+U0jhrbfeurZPa2trxYkTJ9q8Lz0nem7E0qVL2eM2bNhw3bE/9thjrR4jPQ/6DPXv3//a+9y476avsTocPnxYoaenp3jjjTeuu/3rr79WPP7444q///5bsW7dOsVTTz3Fvqt0HKWlpSrtY9y4cWxrZPny5ex72PQ7Rvz888/sOR07dqzD34NTp05duy0vL09hY2PDbqfXrfE7a2trq3jggQeu20dOTg67b9PbGz/H77777nX3DQ8PVwwaNEil5yoQCAQCga6ye/duhYGBAdtGjBihePHFF9m8j+Zkjagyj6R/03ykOc3P3X/++Se77+jRo6+bm5WUlCisrKwUw4YNU1RXV183RuN8h+c8WiAQCATtIyrqehhUrULG+lQ1Q62RjVDb2/Tp09t97Pbt21kVHFXBNEIVMg8++CCriqGVOYLK+DMyMpjvRltVPFS9RxU8rbUlNrbfKru/Rsj/jKqNmnp6UZomjUNQ5U9CQgKrpKJqQkrppI1aPCdNmoTDhw+32bbXHEr/pONsXq3W/PiJZ5999rq/U4UZ0byFlyoQR4wYce3fw4YNY/9Pq5RkNtz8dmpzbU7TtNLG9FJqJab3vBFqU2yEqvYoyIAq5xpTUXnRWPFFLc2dFXxA+6TPCL3vynDHHXeoXVWnbiJua1CbLn0u6bWittOmPPXUU6zSjf5O4RNUpUotyfRZ/vHHHyXtd+3atcwXLzg4+Nr3gTb6zBEHDhxo87H0+aZWdPqONkJtqvSaNoUqW2m1nXz5mu6DXkv6LLe2j4cffvi6f9Pns7XPu0AgEAgEXRFKdz1x4gSraqc5BXVCUDU5Jb9u3rxZrXmkKlCARdO5GZ2ry8vLr3WHtDav5TmPFggEAkH7CKGuh0GCALWCkjDXnNZua0pqaiqCgoJa3E4X+o1/J6j1lMQSuoAnEeSxxx67zrsiPz+flcyHhYVx2V8jtK/mEwt6To2tdTS5ICh1lASFphulcJLfB4lWykDtpyR0kndee8dPrZ7NX1fy0CMxs/nxNxXjCGpzJKi1trXbSWRrCu2L2iObQp5qRNP2wq1btzKBhSZidPz0/ClRVNnnriz0OpMYS20R1K7RGaxYsYK1bNAEWBkz5kbhjSafygpvJETRe8rDq46gCS75E9IEedOmTS2861qDJsn0OWoqwKoDfSfIJ67596Hxc9Pea0if3+bfOaL5d7bxe0fiX/P9kIdg8300+j02hXwum3/eBQKBQCDoypA9B3kQ0/mN2kap3ZTmArTQTIvRqs4jVYEWBpvPa4n25uY859ECgUAgaB+R+irgDglp8fHxTBAiXwuqPqPKH/LBII81bdG4ykcJpOS50RrKiCSqokyiKNFW1Vlbt6sjEh05coSt3pK/CL0nVHlmZGTEQh6amwVLhbzv1qxZw3zzaPWXJpX33HMPNAl5t9A+KZWVVqYpjKNR2GxPeCOjZhLeqNJUWXGPzJlJWJMCVTvSsVKoBXnqdSReN4UEXBIlpX4nKKSEAj/a2gev7x351NHFRWufk6Z0VvWlQCAQCAS6gLGxMRPtaKOFMporUcW7qvPI1mgriKlpd4Wuz6MFAoGgJyKEuh4GpTtRxQoFFzSntduaG9+SANecuLi4a39vhJIdyYyetkYxgsIeaLWQVt4oSaojA11V9td0pa+pkEXPqV+/fuzflJhF0L4pZEIKNBYJKySUtFVVR8dHkxo6rsYqwMb2TGoFbH78UqF9UXtgYzUUcfny5WupXwSJpvT+07FTWEQjJNQ1R8rEsBHaF7VwUOgAtVmQWHfzzTdDk1AV3x9//MFWfKlSjaq22puQqiO8UZgDJZyS8EzCp7rvF7Vr79u3j4mLJDIqC322qUqSQkGkfo6p5YZaVlR9v+nz2/w7RzT/zjZ+7+i3R+r3TiAQCASC7kyjJQwl2Ksyj6TKc7qtKTT/pnGUofFcTXPztjpseM6jBQKBQNA+ovW1h0GiBJ1cqc2PklcbIUGLItnb48Ybb2Sl+eSp0bRtj9IYSQgijzWCfCuarxTS30hcqK+vZ2X8VLm0ZcsWnDlzps1KMWX31wglTlLLQCPr1q1jE5RG7z1KQaVJBiVJVlRUtNgvteQqC3mF0XG2ViHY9PgJ8hRrSmP1EiVr8eb777+/7jjo31QxR0JM4/tPgkzTFVYSfFpr+ySxtfmkTx1oQkeVlTTxI58yEqY0DSUI0+t+9OhR9l7R564j4Y2OT9mKz6Yts41eMqryxBNPYPXq1ayykYTstmjtc0mtynQ7VStKgdKDMzMzWVJzc6hFnr5vbUGfb0o4bpryRsdEKcVNocpG+gxQC3Rr74Mq3zuBQCAQCLoD5M/aWmdEoy8d2UioMo+k+S15xDWF5sttVdQ1Z8qUKcznmRJla2pqrvtb43HynEcLBAKBoH1ERV0P5O2332ZVRqNGjcIjjzzCTuIk6FDbHQkPbUEGs//88w8Tvp588klWSUam9snJyaxSiwS4xpM9tbjR+C4uLoiNjWXj04SiMeyBLtrpGKiKiMIhaKWQRDUq9SdxhSqvlN1fI/R3Cp6glgFabaSJDYkvVMlF0P3JQ4PGCw0NZfcj014SKmjCRGICiYfKQBViJAZ9++23bKWTBBNa9aTWUvobhTj079+fVXXRRIkEL3quJGrQcyChku7HE6peI0GM9kkm/SS8ktHwq6++es3zi94DmuDR8ZLPGfmD/fDDD+x1ovbLptCEjDzQ6P7kx0d+Jo1BFqpC+yejYvpM0HMnsa5pCAH9u/nEkKD7qtIO2hT6zFDFI4lvVLlGAlLzz0xT4e21115TqTW3sWW2ve9MW9BnkwQ6Cg8xNzdn3npNoapDEkoJWjGnylRqUaX3mL4fq1atYm0nDz30EKRAn2Gq5qPwBvoO0PtDvwdUtUq3U+Vla4EvBIVeUDsrfZYo8IKOlz7rdLxNP0v0vSJhkfY1cOBALFiwgH0e0tLS2OeT9tlUYBYIBAKBoLtDi3VVVVXsfE+BTlT9dvz4cbaAR4vRNB+hubCy88j777+fnctpcZJ8eqlans7hjo6OSh0PnavJT5jGoRZcmiNSlR6NQ8dJ++Q5jxYIBAJBB3SQCivopuzbt08RHh6uMDY2VvTu3Vvx22+/KZ577jmFqalpm5HuxJUrVxS33nqrwtbWlt136NChiq1bt153n19++UUxduxYhYODg8LExISN/8ILLyhKS0uvu19qaqpi0aJFCicnJ3Y/Pz8/xWOPPaaora1VaX8HDhxgUfP//POP4pVXXlE4OzsrzMzMFDNmzGD7aM65c+cUt9xyy7Xjo+c5f/589pqoAsXaf/bZZ4rg4GD2OtLzmD59uuLs2bPX7lNfX6945513WGy9kZGRwsvLix1jTU3NdWPRMdDxNoeeF70mTUlOTma3074boffJwsKCvV5TpkxRmJubK1xcXBRvvfWWQiaTXff433//XREQEMCeOx37n3/+ye7X/OcgLi6OvY/0WtLfmn8W2qO14yZiY2MVjo6OCnt7e8WlS5euPZe2tuXLlyu1v8bjz8/Pb/G3J554gv3t4Ycfvu61ag69V/RZbX7srb3ejdBr13isre27LegY2nvetM9G7r//fkWfPn0UVlZW7DPk7++veOmllxRlZWUKVRk3bhzbmlJXV6f45JNPFKGhoewzYWdnpxg0aBD73Db9zrb2exAVFcXGo++mh4eH4r333mOfr+bPofF7OnXqVIWNjQ27P73Wd999t+LMmTPXvS6tvTetfT4FAoFAIOiq7NixQ3HvvfeyeZilpSWbR9L5neYsubm5Ks8jaa5HcwOaY9EckM63iYmJLc7djfOW06dPt3pcmzdvVowcOZLN/aytrdm8m+bXmphHCwQCgaBt9Oh/OhLzBD0DWp2jBMjWfKd0GQoMoFVFqsajpCyBQCAQCAQCgUAgEAgEgq6I8KjroZD/VFNInCNfjPHjx2vtmAQCgUAgEAgEAoFAIBAIejLCo66H4ufnx1Iu6f9TU1OZhxSFPpDvVE+G/Lk6MsOl6PmeGD+vjdemtLS0hajcHPJD1BXoWOmY24O8FOm7xhN6X9ozjKb9tZVOLBAIBAKBQCAQCAQC3UEIdT0UMoCnoIacnByYmJgwU3sKeAgICEBPJj09nYUmtMdbb73FAjl6Gtp4bSikgAyM20OXuvfJBLqjQAoyXOZduUrGzyS4twUZUFOLuEAgEAgEAoFAIBAIdBvhUScQNIGSRylVsz2oCpG2noY2XpuYmBhkZWW1e5/JkydDV6DkYvJ5bA9K06UkNZ4cO3as3cpD2h/tVyAQCAQCgUAgEAgEuo0Q6gQCgUAgEAgEAoFAIBAIBAIdQIRJCAQCgUAgEAgEAoFAIBAIBD3Vo04ul7N2NisrK+jp6WnjEAQCgUAgEHQAeUCWl5fD3d0d+vpiba87I+ZmAoFAIBB0DcT8rPujFaGORDovLy9t7FogEAgEAoEaYTKenp7idevGiLmZQCAQCARdCzE/675oRaijSrrGD5a1tbU2DkEgEAgEAkEHlJWVsYW1xvO2oPsi5mYCgUAgEHQNxPys+6MVoa6x3ZVEOiHUCQQCgUCg2wibiu6PmJsJBAKBQNC1EPOz7oswnBEIBAKBQCAQCAQCgUAgEAh0ACHUCQQCgUAgEAgEAoFAIBAIBDqAEOoEAoFAIBAIBAKBQCAQCASCnupRJ+i+pBRUIiKlCLHZZSivaYCJoT4CXawQ7m2Lfp622j48gUAgEAgEgh6FQqFAdkI8chLjUZiZDll9A0wsLODs6wfPkFDYOLtq+xAFAoFAIBA0QQh1Ai4cTyzAt/sTcDKpqM37BLpY4v4xfpg3yFMYXwoEAoFAIBBoWKCL2rsTZ7dvQnFWRut30tODT98BGD53ATyDQ8X7IRAIBAKBDiCEum5MXYMc8TnlrLqtorYB5sYGCHS1Qh83a5gaGXDZR22DDO9uicHfp9I6vO/l3Aq8uC4Km85n4qv5A+BsbcrlGAQCgUAgEAi6CrVVlchNuoLi7AzIGhpgamnFqtscPLygp8/HlaasIA/bv/sCmXHR7d9RoUBq1DmkXjyPgdNvwtg77oGBobg8EAgEAoFAm4gzcTcktbASvx9NxsbITJTXNrT4u6mRPmb1c2fVbUGuVmrvp6ZehvuXnsHRxAKVHncssRC3/nwCqx8aDjcbM7X3LxAIBAKBQNBVSI+5iLPbNiEpMgIKubzF3y3s7NF34hSET5sFc2sbtfdTkpuD1e+8jIpCFeZnCgUit29CSW42bnr2VSHWCQQCgUCgRfQUVBffyZSVlcHGxgalpaWwtrbu7N13W+itJIHu893xqKlvOQFsjqG+Hh4d3xtPTgqAoYHqK7gvr4/CqtPpah4tEOZhjX8fHaXWvgUCgUCgecT5uucg3mvNUVtVhQNLf0X0wb1K3d/M2gaT73sEgcNHq7yvhvp6rHj5KRRmdNzp0BZUWTfh7gfVfrxAIBAINIs4Z3d/hELSTZDLFXh+bRTe3xarlEhHNMgV+HZ/Ih5afpa1yarCkYR8SSIdcSmzDD8fuiJpDIFAIBAIBAJdpbq8DKvffklpkY49pqwUW776GKf+Xavy/k6s/VuSSEdE7tyCzLgYSWMIBAKBQCBQH9H62k34bHc81ke2YRTcAfvi8vDaxov4bF7/a7fll9diy4UsXMgoQWJeBeplctiYGTF/uxG9HbDkcBKX4/71cBLuG+0HM2M+nnkCgUAgEAgEuoBcLsPGT99FfmqyWo8/+s9SWDk4os+YCdduy09LQcKp48hNTkRZfh5rWbW0d4CLnz88Q8KYyCYZhQInN6zC3FfflT6WQCAQCAQClRFCXTfgbGoxfpFYmbb2bAamhbligJctPtweh80XMlEva9kVfTqlGEtPpIIXZTUN2BqVhXmDvbiNKRAIBAKBQKBtzmzZiOzLcZLG2P/nz/AO7YeqslLs//OXVsMhCtJTkXIhEqc2rgEvUqLOoTQvFzbOLtzGFAgEAoFAoBxCqOsGfLYrDnIOToNvbLqE2no5Civr0JmcSi4SQp1AIBAIBIJuQ111FU5uWC15nNrKSmz+6iPkXkmEXNYyIExjKBRMFBRCnUAgEAgEnY/wqOviUFvqyaQiLmNlldR0ukhHRGeVdfo+BQKBQCAQCDRFzOEDqK+p5jIWVeV1qkj3f/JS+NicCAQCgUAgUA0h1HVxDl/OR1envKZe24cgEAgEAoFAwI2UqMgu/2rWVlVq+xAEAoFAIOiRCKGui3MpqxRdHWND8TEUCAQCgUDQfchN7vqp9gZGxto+BIFAIBAIeiTCo66LU1jR+a2qvAlwttT2IQjaIbeshqUA6+vpwdvBHJYmXednQ6FQoKG2FtDXg5GxibYPRyAQCAQ9hOrSEnR1HDxF0JfOIpcDxclAbTlgaAo49CZlFV0FuVyBhjoZDAz12SYQCASC6+k6V9yCVjHQ1+vyr8wALzttH4KgGefTS7D8RCoOXc5HQUXttdv19IBejhaY2dcNtw/zgauNqc69dpSMd+nAHiSfP4O85CRm6E2Y29jCtXcAAoaNQvDIsTA0FpUCAoFAINAMevoGADrfV44nbr0DtX0IgqbIZUDcNuDsX0D6KaCu4r+/GRgDbv2BAXcA/eYDxhY699oVZVci5mgWshJKUJhVAXmDAtADbBzN4OJnjeBhbvAMsYMeTTYFAoGghyOEui6Ot705ujKG+nq4OdxD24ch+D+FFbUs/Xf7xZxWXxOFAkjKr8S3+xPx8+EkPDUpAA+P660TgrGsoYEl7J3evA6y+pa+h1WlJUiKPM22wyv+wITFDyBkzAStHKtAIBAIuje2Lq4oSE9FV8XB0xuu/kKo0xmyzgP/PgrkRbf+d1kdkHH66nbwY2DW10DQdOgCVWV1OLwqHlciW/HVVgCl+dVsu3wqFw4elpi4KBjOPtbaOFSBQCDQGUStcRenn6cNujI39nXTyaqsnkhcThmmfXOkTZGuOXUNcny2Kx53/X4KlbUNWq+i++eNF3By/T+tinTNqS4vw/bvv8D27z5nAp9AIBAIBDxx8Qvo0i/owBtna/sQBI1cWA38Nqltka45FTnAPwuAvW9r/TXMSSrFP++eal2ka4XCzAqs/+QsLh7M0PixCQQCgS4jhLouziAfOxgbdM230c7cCG/M7KPtwxAASC+qwp2/nWJedKpy/EohHlp+lvmNaIPaqiqsfe815CYlqPzY2KMHseOHLzVyXAKBQCDouXj2CUNXxatPX/SdOEXbhyEg4rYD/z4MyNVYVDz6FXDoM629jvnp5dj87XnUVHS8gNoUmk8eXnUZ0UcyNXZsAoFAoOuI1tcuSHZpNf4+mYZNFzKRXlSNrgiJi18vCIeTlYlOiFRrz2bgXFoxLueWo6ZezgITQtysMNjXHrcO8oSjpfaPU5OBCy+ui0KBhGCSo4kF+P1oMh4Y64fO5tDy31CQlqL24+OPH4Z3WH/0mzSV63EJBAKBoGeRcyUB53dvw5WzEagpL0NXxMrRCdMee1Y3fMLSTgKXNgBZkUBR8lWxytL5qhdb74lA6C2AUTfuyqgsADY/Dijk6o9x8CPAfyLgMQidiaxejj2/R6O+Rqb2GEdWJ8DN3xb2brrntycQCASaRk9BV+mdTFlZGWxsbFBaWgpra+FBoMoK05IjSfhyz2XUNkg4aWsZW3MjfLMgHOMCnbR6HFQ99vbmaOy4lI32isFIVLxtiBdemh6skcRTaiFNKaxETb0MFiaG8HWwYJ5vpdX1uJRZ2kQ8NECImzVC3W1gZkwm1XzYGpWFx1eekzyOqZE+jr88CfYWnRfSkBkfi1VvviB5HGMzczzwwx8wtRAJxAJBU8T5uucg3mv1qamswIG/fkXM4f3oyjh6+WDOi2/CxtlFuweSGQlsfQbIPt/+/czsgPGvAkMfuJp2xZnymnqkFVWxgFUHS2O425pdWzCPyihFWmEVZAoFHCyMEeZhg0AXK76evVueBs7+KX0cj8HAA/vQmZzZnoxTm5Mlj+MRaIs5zw7kckwCQXdCnLO7P6KirotAIs4jK87iQLxyHg+6CM1dpoe54a2b+sDZSrsroEcTCvD4P5Eoqeq4HL9OJsfyk6nYH5eH3xYPZmKZVKrrZPj3fCbWnknHpcwyto9GTA31YWlqiOLKOshaERDNjQ0we4AHHhzrxxJYpbLsOB+zaxIT6fk8NK43OotzOzZzGYeSYaMP7sOgGZr35JHLZKgsLWYGymZW1iJ9ViAQCLowJbk5WPf+ayjNy0VXxcjElHnSjbh1AQwMjbR7MNSuue89QKFEJVZ1MbDjBSBuK3DbcsBUum9zblkNVp5KY4uYSQWVLESrEVqsNTbUR1Fl6x0IbjamWDjUG3eP8oW1qcTXsaYUiFoDLmSeAbLOAe7h6AzkMjkuHuLTtpp5uQQFGRVw9NT8Qmp9nYy16err68Hc2hh6OhCUJhAIei5CqOsiPLXqnEZEOgM9phe0W1GmLCN7O2BKHxecTilGTHYZW4k0MTRAoIslBnjZ4ZaBHvDSgZTaY4kFuHfpaVbJpgqZJdVYuOQk1jw0gq2aqsv+uFy8suEicsta94OraZCjpp021Ko6Gf6JSMOGyAw8NyUQD4zxU7tFhVJeI1KKwIsdl3I6TahrqKtD4ukT3MaLO35IY0JddUU5og/sweWI48hPSUZD3dX3Xt/AAA4eXug1cAj6T54Oaydn9FTK68qxK2UXzuedR2JJImoaamBuZI5Au0AMcB6AKT5T2L8FAoFAV6Dfdk2JdEZmZqiv5mNvMvimW2BoZIKcxHgUZqaz0CUTcws4+/rBs09fhIweDxNzHfh9PfQpcOAD1R+XfAhYNgdYvAUwUU/QkckV+PVwEr7ae7nN+WEFBWe1Y+WbXVrDul5ojvbx3H7SOkcS9wH1leBGzOZOE+oyE0pQVaq+nUpzEk7nakyoK8mtwqUjmUiLLkJJzn/CrKGJAZy8LBEw2AVBw1xhbNZzL5nJImhrVDaiMkqQXFAJuUIBO/OrVaSjAxwxLsCJiZsCgYAvPfdXpwux5nQ6dkXznwQGu1rh83n9seJkKladTpc0FulET04KwHA/B9w9qhd0FVoFJdFTVZGuEarAe2LlOWx5YjRbVVWVL3bH47v9ieABtT9/uD0O8TkV+OzWfmqdJC9mloInsdllaJDJYdgJASf5aclcE1vzU6+OZ2DI72eRnAWo6u/oquWor61ptbouPy2Fbac3rUf49FkYvXARjIy7rydic6obqvHDuR+w5vIa9t/NuVhwEesT1uPTiE9xR5878GDfB2FkoOWKD4FAIABw4M9fNCLSBQ4bhfF3P4h1772Goixp6ZfmNrYYNns+TC113Noh+TBw4EP1H08+dnveAGZ+pVaXw4PLz+BIQgF4QILdPX9G4ONb+mH+EC/1BqEKOJ501EbMkbwUvv6Mean8/R7rqhtwbH0iYo5lXa1YaEZDrQzZiaVsO7kpCaNu9UefUe7oSWQUV+GdLTHYF5vbakHHqeQi5k/tbW+O56cG4ab+Pev1EQg0TdeMC+1hLa8f7ojlNh6V5c/o64Y/7xmCHU+NYashr84IYbdL4c5hPkyk03U+3B4rKTSBiM8txy+Hrqj8uJ8PXeEm0jVlfWQGvtgTr9ZjqUqQJyQeSn19laU4O4vreFRhUF7Ar2qVhLkNH7+NA0uXtCrSNUehkCNy+yb8/cozKC/ic7Gg68QXxWPu5rlYGrO0VZGuKeX15fj5ws+Yv3U+0srSOu0YBQKBoDWyLsey5HA+6MHewwv9p8zAos++x6xnX4GVvQOmPvI09PSlTdUn3feI7ot0sgZg8xN0JpQ2zpk/rwZQqLig9vCKs9xEukZI2Hh5QxSOJKg5ryjhfJ7jPV57u8rjO7csyaviPt7qDyIQc7R1ka41Ue/A8jjsWnIJsiZWNd2ZTeczMfWrw9gT07pI1xTycXzyn3N49O+zTPQWCAR8EEKdjrP5fJZSPmrK4GlnhuMvT8QPdwzEhCDna+2S5KOxZNFgWJuqV0k0yt8Br88Mga5D4RH0evJg6YlU1Ktwso7OKmXVdJri50NJOJ9eovLjNBElo5A60VYSqkbjjYwuFjigkMux+YsPkXL+rMqPLcxIw9r3XkdNRcW12xrq65GblIi0S1Hs4pCMy7uDSHfvrnuRXq5aNS+1xd69826VHycQCAQ8Ob9rG7ex+oydgHu+/AmT73sETt6+1253DwzG5PsfVTsoYfjchaw6T+eJ3wYUq5/e/h8K4MQPKj1i6fEUHLqsGf9nEjheWhfFrGBUh/NcqhOzAxWtGSxLQM5xvMqSWmz66hzKCjpeQG1O4tk87Psz5rrbaqvqkX2lFBnxxchPK2dpt10d8pt+evV5VKooum2/mIN7/zrNikwEAoF0ROurjrM7JofbWBnF1YjNLkcf95ZhCFRZt/qhEXjin3NIzFNeBJg3yBPvzQljXnS6DhkDNw1tkEJBRS0OX87HpBDlktHe2RyDes4Tl+beKiQELr9vmEqPc7bi22JpZKDXaamv5tY2OjvmmW3/IuVCpNqPL87KwL4/f4Zvv3BE7duFnMTLkDcVEfX0YOfmgdCxE9F30lSNvBaahPznnjv0HMrq1Gtnya/Ox/OHnsffN/4NQ31xGhMIBJ0LVWFdOXuK23hJkafb/Fu/SdOYn9yeJd+jtlI5zzJDI2OMueMeDJw+C12CC6v5jRW/HagpA0w7Dv4qra7Hp7s0t4hKZJXWYMXJNDwyXkX/Xis3vgfCe7x2MLXia09hZsVvXnlgRRwqitsxGuyAhDN5cPVLR12tDPEnc5jHXVP0DfTg4muN0DHu8B/sAgM1bHK0SVxOGV7beEltXfdEUiE+2xWPN2b24X1oAkGPo2v9evRAeHuIXWpjvJzSGpZq6m1nBmszww4Xb/t72uDPu4fgs3n9YWqk+yIdoU7FWXtcUHK8mKwyroENbXE0sQApBaoZD/f15CvwBDhbdZpo69yLb2gFBTlQCqtUKkuKcXz1CsnjxB09iJ0/foWs+JjrRTpCoWBi3tFVy/DHUw/i0oE96Er8eOFHpJZJSxuOKYzBsphl3I5JIBAIlKU4OxN1nIIeiJqK8ja97mjetr7YEafC70OKXR/I9No+x1KbrP+QEbjr02+7jkjXmErKC3kDkH1B6cohCujSNCsjUpm4qxJuA/gehDvn8drBycuK73jefMZLOp+P1EuFksc5siYBpzYltRDpGqv/qMJu71+xWP1+BHKS+F7HaRqqAJVa1PDnsWTu11wCQU9ElCLoMFQl1VYyqLo09yQrrqzDe9tiWEtoQzsmBKTb+Tpa4NZBnizFiirwdJ288hpU1spgaqQPV2tTlSoFlSFByfF2RvOrimwPmgOSWEfvk7K42ZghxM2ahUDwYGJw56WWWtrZw8HTm7WK8sA7jM8k9uK+XWio7xyfPqK2qhK7fv4GmfExmPLgE5L9jDRNZX0l1sSv4TLWipgVWNRnkaiqEwgEnUoZRz/TRsgj1cb5vyp9Oi+//u8lnE0t/u9OtuNgajUUvlVpcKrLh3VDOYwN9ODv64ExIwag14DBsHJwhC4jlyuQVVrNugxszIxgr18FVHAO5MiPA3qN6fBuuzppfpZeVI2Uwir0UmF+ht4TAX0jQM7H/gYBU9BZeATaQU9fD4qOzM2UxCvYjss4UQc61zKjOKcKGz6PxIQ7gxEysvMqGtXl+JUCXMiQLizS277kSBJ+uH0gl+MSCHoqQqjTYVRefVNmzCb/fTqlCI+siGRtnMo8jiK5V55KY/52uvp6kc/I6tPp7Lk1DTWwMjVsV4hUB2U96tqqYtQE5IWnKncN98GrGy9K3reBvh4WDvNGZ9L/hunY/+cvXMYaMOVGLuPEnzwKbUBVdcZm5piw+AHoMntS9zCxjgfUAnss8xjGeY3jMp5AIBAohUbmZ/+N+dexZHywPbZVy4waAzPEWQUhDkH/3VgBHE+2xY8jdXMRlTyryJx+Q2QmmxM19b7qY1WN7bx3KKtXSjCMzuKfJtpeh4xKQp2VCxAyC4jeIH3njoGAX+edJy3tTODb1wHJF6QHdJhZGaF3uPTrjuryOmTGd36VF4mVB5bHwsTcEH4DnKDLrDsjLWG6Kbujc1BWU8980AUCgXoIoU6HMTTQh6OliVJCmrI0prueTS3Cot8jUK2i4SdV5C1cchJrHhqBIFe+pe1SuJxbjhfWXmhzJai8hk9IQFOUPflkFvNNv2qPokrVK7nmDfbEshMpiMspl7Tv+0b3goet2bV/02R884UsVv5OLbkklNqZG7FqzFH+jizGXWrbdNjEKYjcsRklOdmSxqFWIRc/f0iF0l15VfipA70WfgOHwKdv57W4qMqF/AvcxxNCnUAg6Ew0UbVmZX91zN+OJOH9bbEqP/5YYiHu+v0U/nlgOCxMdGd6T1VrVBlIgV6tcaXcADITPRjocRQ/TTsWLIur6jql7fXa/tSYn2HSG8DlnUC9xNTTqR/+999yOZCw66qXX9Z5oCzraliJjefVdtvgmYD/JLUDTBoZOsuPtZlKDYIYMqMXDIykdwrkpUmb40rV9Q/+HQe33jZc/fZ4E5nWpHpXIrTIcCmjFCP9dbvCVyDQZXS7R0qAvh7SPbOa0tfDhq1wPL7ynMoiXVPz3cdXRqK2QTdSfbZFZWPmd0e5lGurQmuhHNpMQW2salMVIwN9fDGfvAbV/zkIdrXCszcEXhNN5/18nL0nvx5OQkRyEfLKa5mIeCW/EpvOZ+HFdVEY+sFeLDmcxFa11cXI2ARTH3ka+gbqC35m1jZXU/U4UJafzxJftYZCwa3CUFMkFifyHa+E73gCgUDQEfbunjAyubrwyQMTCwvYurrhXFoxPtoRp/Y4URmleG/r9amU2oSO5aHlZ9sU6YhaGCNZwbkt0LVvh3fpvJnZVfTVmJ/B3g+Y8r60HQ+6Gwi44ep/x24BvukP/LMAiFwG5EQBVQVAZT6QdQ44+yfw91zgu4FAwl5Ju3X0tMSQmb0kjeEZbIewcR7gQVl+5y2at0Z1eT0itiZDV6Gq19QiiYJwM+JztSeOCgTdASHU6TiT+yiXKqoMVO1EfmSf7YxHdqnqseTN/dl+OngF2uZAfB6eWnUOdQ2dL44M93NQ6n4u1vwm8x3h66BCW0UTQt1tsGTRYJipUeHm72yJZfcOZdVxy0+mYua3R3E6peNVubKaBtbaM/+XE2pVAjbiGRyKaY88rZY3m6mlFea+8g4sbPn4nygUWhTp/k9RZjrSLkVBV6mV1XJPkBUIBILOhM43vQYO4TZe74FD2aIVLWKRP7EUVp1Ox6kk6Yb5UvlkZxx+P6qcMHFSHsJvx+YOgHPHiZO2ZkYw7sREzl5qzs8w5D5gwmvqPTb0ZuDGL662Av/7KLD6TqBUiar/oqSrgt22569W4KnJ4Om+LP1U3QCJaQ+GQU9iZZ8m7YRUJf5UDuo00OHDg9oGOfeOfnULQgQCwVWEUKfjzBngwfzVeHD7MG+U19Rj7Vk+ZqrLT6RqtaqO2gheWBvF3XtOGfp52igdqEEiWGcel7qMCXDCv4+NYlWXyjJ/sCc2PDoSztamWHo8BW/8e0nltKgzqcW4fclJVqmpLiFjJmDuq+/CylF5/w+3wGDc/v7nXFpeGzG3sYUukHjmBHQVcyNzruNZGKl+8SNXyFFeV46KOr4BMwKBoOfAy9eUjTV1JvPYVTakqiN+U1Ig0xQnrhTi50PKL+b+I5vEb+fhdwIGhkrZy4R0koULaU2qzK1aMO5F4LYVgIWScxxDs6vtrnP/IFUZWH8fcP5v1fd7egmw6TFIYfwdwRg9LwCGKnRtUPDCnGfDYWLOz99MF1pO62tkyIjj117KE1qoV6fosz0s1WjBlzU0oKaiglnJCAQ9Hd0xsRC0CvmMvDA1CG9uipb0Cvk4mOPeUb2w4VwGaur5VP0UVtbhQFw+poW5Qht8sSeeq3+fKjw9OUDp+04KcVZpwqou1qaGGBcozXCXfAc3PjoSW6OyseJkKs6mFbdYYTMx1Gfv+aIRvhjkc7US7aLEdhvyx3tz0yV8syBc7THIl+3uz39A5PbNiNq3C+WFrafyOfn6IXzaTISNm8w9IdXc2gZWDk5t7ruzyE3SfrVrWwTaBeJs7ll+49lfbbnuiMLqQmxI2IAjmUcQVxSH6oarbTA2JjboY98HN/jegBm9ZnAXEgUCQffEq09fBAwbiYRTxyWNEzxqHNwCgvD+ykhux7Y/Lg8lVXWwNe98cYIql17/96JK1TnRCl/skQ3CDQZnpXvTDVfeymJisEun2KaMDXCCjVTRiYIlfEcDZ5cCkUuvVr01x9wRGHA7MPQBwPb/4V4nfgRiNqm/3wsrAZ8RwMBFag/Rf5IXfPs54NyedFw+lYP6WlmrYqZPmAP6T/aGZxCfLofmFXq6QH5auU6GSlB1aW8nS26LBQR1cSlDQVoKm7dnxFxEYWY65LKrnw9rJ2e4+gchdOxE9BowiPucXSDQdYRQ1wWgVM59sXlstVUdjA308fm8/jAzNsD5NL6JRxcySrQi1FFlIKWHaYNbBnqwyZ2yDPG1Zx5uUsMaOmLBUG/2HkuFVpnnhHuwraK2AdGZpSxB10Af8La3QKCLJbtP00n5i+ulVzaSd90tAz0xLlD9CQylng6fuwBDb56HgrRU5CYnoqqkhM0AbZxdWPWcnat6bRjK4ts/HBf374Y2KS+4/rcitzIX8cXxqKqvgomBCfzt/OFl5aWVYxvoMhD/xP3Dbzznge3+vV5ej18u/II/Lv3B/rs5pbWlOJF9gm1fn/0azw9+HjcH3Mzt+AQCQfdl8n2PIjshHhVF6rWa0oXoxHsfZv/Nc35G7bOUMkqV8p3N0cQC5kerKq/W34vB+vGw05MgFEz7GLBSfk66cJgXvj+Q0Gq6Lk/uHuXLZyAzO2D001e38lwg5yJQWwYYmQFOwYB9M0+40gxg37vS97vrdSBoBmChnOVLa9g4mWP87UEYdas/E6sK0itQV90AA0N92LmZw8XXWqNVbzZOZmwr1bJXXUXRf5Vi1O6eVFCBxDwKXJPDxsyIdeHYW2in+m9IL3tuQh1V6IV10FFUWVKMfX/81OZiR1l+HtsunzgCB09vTHnoSbgHBnM5PoGgKyCEui4A+TP8dOdA3PfXGZxQ0XeEVki+XxjOxCKC50oJsfZMOnZeykG9TA5bcyOEutlgpL8Dpoe5adT742B8fqemdTUy3M8eH97csUlxc96c2Qd3/H6Ku/9DU//BJycpX+WnStn6sA68+ChpLja7jMv+KO1OilDXiL6+AZx9/djW2fSfMkPrQh1RXFOMdZfXYX3CemRWtBS1Hc0cMbv3bCwIXgBXi84T2yd6TYS9qT2Kaookj+Vt5Y2hrkPbraJ7dN+jiClUrtqzrK4Mbx5/E0czj+KjMR/B2ED7rTICgUB3IbuDW19/H+vef11lsY6sGuixZpZWqK6TIbOEr4CwflUcUmoT2H9b2JrA2dsavfo7wkMD1UpN2X4xR63H5cMO99c9h7+MP4WVnhqvxehnr1aTqYCzlSkeHtcb3+3XXCjR9DBXTAiS1u3QKlYuV7f2OP078P/qcUnUlgLnlgGjn5E8lJGxAdz9bdnW2ddSoWM9cHy99gOoEvPK8dfxFLZAXd6KZ12QixWzK5o32BPmxp13qb5wiDdWnlLCw1AJZg9wb7d4IOtyLP799D1Ulyt3/VCYkYZVb72IsXfcg8EzxWKqoGcgaki7CPRDvey+oUyMMVTSRKCPmzX+fXQUpoT+dxHOO3SBKq2SCyqRUVyNS5llWH0mHU+tOo8RH+1jnmWaMm+lleLOZuFQb/x1z9XQBFWhePLFIzitqKJlK+rXCwao5QXBgw2RGVxX4vPKurYvhUuv3ggaOVarx5DmU4+b/r0J3577tlWRjiioLsDvl35n9/s79u9OM1om8Wtx6GIuY93f9/42jabJf+6BPQ8oLdI1ZXfqbrx4+EWdMJ8WCAS6jYOHF+76+BsEDB2p9GOCRozBnR99fa3CWxOBWEUFVSgrqGFbdmIpLuxPx79fncM/755CRpz0hZK2uJipfmXgWUUQFtS9gQS5CkmfZFdw4+fA5LfU2ucTEwOk+cd1YDvz/pwwaI0Lq3RzLC0RNtYD1o6dF/DWHBkU2FpRhmlfH8GKk2mtinSNaalvbY7GlK8O43hiQacdX19PG4zlsFhOhRr3j2l7oTwvJQnrP3xTaZGuEYVcjkPLf0fkji2Sj1Eg6AoIoa4LYWSgj2dvCMSeZ8cxvzlHy5bVHiTiDe1lj28WDMDmx0ehj/v1/gC8gimU8a+jk8zCJSeZTwpv0gr5Roi3xyh/B/x9/zB8dEtftUS6plV1N4fziZlvxMrEEL8vHnKtYlIbnE/n165Dukhn+MVomkn3PgxLO+28J2cDi7HJ9QJKapV7X8ir7eOIj/Hq0VdZyEJnsLjPYoQ5SLt4Gek+st0W1c/PfI6E4qvVJOqwL20f1sSvUfvxAoGgZ1XW3fTcq5j/1kcIHD4ahiYmLe5jZGLKFnFue/tjzHz6JeZp2ghVnii7CKssJorWxyvKqsSmb87j6JoEKDQQxiV1fkZ+dTPqPsSn9bchS9HOedTQFOi/EHjk2FVPNgmiwp/3DGEWJTzxd7bEPw8Mh4Nly89Cp1CWBZRn8RsvPx6o4dM9oS2MTAwwcVEI9HmnJihBPRRYZ1GHjRmFSlvFUBHEnb+f4lblpgx0rUPXFlJ9vOnz3xoN9fXY9u1nqKtWv9Lz8IrfkZ+WIuEIBYKugZ5CCyUDZWVlsLGxQWlpKaytlTOaFLQOtUok51eiXi6Hnbkxm2i0Jya9syUafx7r3B83MhNd9eBw5r3AiweXncHumFxu43nameHxCf5sFaumXsaq0+i4B/vYw9uBn7k8fd2Wn0zFxzviJLfuUosonVDdbc2gLRpkcgS8voNrS+9L04LxyPje6OoUpKeydijy4Ogson3LcLqP+vu7M+ROvDT0JXQGOZU5uHvn3W1W/LVHb5ve+HPan7Azbb2F63zeedy14y7Jx2huaI5dc3fB1lQ30ny1gThf9xzEe80PuVyGoswMlBderYaxdnSCvbtnu2bo074+zNXL9o5yE7jL2l+PDx7phkmLQsCTvm/tQnlt65VCqqIPOV4NK8X9fiVXwxMUsqvJp24DAJ+RgDm/BbHK2gZ8uD0WKyPSJM1pSHC9e6Qvnp8aJGlxVzJXDgDL5/Ad84H9gMcgdHUun87Bvj9jmUdcZ7HBohZXjNRbDKXGgZ/vHISpTTqkNMnhy/m4f9kZtSp95wxwx5fzB7Qphp7auAZHVy2TfIzugSFY+N5n6MmIc3b3R3jUdXHIm4w2ZRnWy6HThTryL5Oa6NkcJyu+K5ReduYsjEHTUJsepaVSAth3+xOwNzYPpdUtDe5drE3gYGGMspoGtqJGGOjrobeTBaueozbcMA21aqgCrQrylvprGzrfe1ATOHr54PYPvsTuX75FatQ5je+vxKIeZ4OkiYLUAjvBawKGurXt+8YL8sX7a9pfeOnwS4jMUz7tcJT7KOYf15ZIR6yMXcnlGKsaqrAxcSPuCbuHy3gCgaBnQD6pdA6gTVmG9bLnJtSZKABnWcdVQ3HHs+HW2wZ9RrlznZ/xEurk0Ee12zBgJH8P3uZYmBjig5v7Yk6oA34/GI+DqVWoaTYdIe3B296cVUCSTUdh5dX5m6mRPlvcpbkdzc9cbbTXXnkNGf9uFjTUojsQOMQVlram2LcsFmWdEC4RZdygtkhH0Dz7tY0X2fy/M4ImqP11+b1D8czq88gqVc6Ohr4bD4z1w0tTg9sU6SjN9fzubVyOkTzucpMSWUicQNBdEUJdD2NyiDMTgXLLOvdkS4aplCLKy1CXt58I+TJoGqqmI2GOKurIc6J56Tutwvb3ssF9o3rhxn7/TZqpwq+2Xs4mhpoM6FDXH4+2Wo7+Otam/CovtQ1VUdz62nu4fOoYzu3cgoyYS63ejy7mQsaMR8S/61BbpXpaHnE2uBhyiYv3Cijw6elPse6mdegMSKyjyjhqMf0r+q92q+t8rX1xX9/7MMe//QqBelk9a1vlxY7kHS2EOqoGTCxJZG3DFoYWCLQPZOEcAoFAoC63D/PB0hOpXF7A0DoDGEK59r5j6xLh29cR5tZ8BABaREwqUO881up4nTA/q6+tQfTBfbiwdwcK0lJAsmBv6KHYyA4lRtYwNDVHSFgIZs6YBC/f/xZ1K2obWMIudWHQYqpOYWrTNcbUEu4BtljwxlBEH87EpcOZKM1rRbAjYTbEHi5+Nji9NVmt/TRAgcOmLRfk1fEE//FAIl6f2QedAQXJ7XpmLL7em4A1p9PbFd9H+DmwCtJBPu0H1WTERqudkN0acccPXyfUUYXklfwKpBRWQSaXs7Zz8msnEV4g6IqIT24Pw9BAH49N8Mebm6I7fd9LDidxE+rGBDqx1RteVes8kkbbI6O4Ci+tj2IJqW1Bwt3Z1BKcTT2HGy9m473ZYewkQ60TWm2f6KBCMNjNGhc4+tSFNvNV7A4EDhvFtqqyUuQlJaI0P5etkFrY2cGllz8T9AgbZ1ds/ebTq8unKlBh2oAMZz6rwvHF8ax1dIDzAHQG+nr6LHl2ftB8RORE4ELehWsimLmROQLtAhHuHI5BLsq121wuvow6Ob9KgoSSBNTJ6lBaW4rV8avxb+K/yK1q2XbvZeWFWwJuwbzAebAx6T4XMwKBoHMIcrXCtFBX7IxWLzW1ESMFMLhG+el9XXUDYo5mYfCNvtzmU5sv8PFGszA20LgHb3p0FHb98i1Kc69/3fWhgEN9EdtQBVQdjsG6Y5sw7Ob5bDMwNNRaiJdSuIReVZrAaaJMnoCOQehOUALtgMnebCsrqEZ+Wjmqy+ugp68HayczOHlZwdTi6uJxdVkdE/RUJd5IhmpOa+xrz2Z0aku1lakR3pjZB89NCcSBuHxEZZYgpaCSidNU2Uei/Ch/R/R2at2Prjk5Vy5zPb7cK1d9iC9llmLZiRSWOE3ieVPoWjHc2w53DvfGzH7uzO9dIOgq6PAZRqAp7hrug+0Xs3EySXOpX61x/Eoh89RTpVW3LWiMicEu2Bsr3afOz8kCI3s7QFNEZZRg0R8RKKlSfkWNTjYX0ktZiIWvowV0meF+9tyEOnNjg06pbtQWZB7uO2BQu0mANRUV2Pf7T1CoEOyQ6VSNNnzD1eJwxuFOE+qaCnbD3YazTQqpZXwqUhppkDfgt4u/YVnMMlTWt10lkl6ejm8iv8HymOV4ddirmOo7letxCASC7s97c8IQkVKEokr1FxvGVRvBRqHaxWjciWxuQt2Mfm54f1sMilWY87TF7HAPjYphUft2Yu+SH5U+38plDTixbiVru5v9wuswMtZSUIQymFgB7gOALE7WG15DAYPue9lo7WjGtrYYsyAQdTUNuByh2nVHkoSW1+aQVc7Z1GImjnUm5saG7HtNmxRKcjiGm1AwTnYW3tp0CctOpra5vk0FHfSa0bbkcDI+n9e/RdCiQKCrCFm5B0JVUD/cPhABbSTyaBKelVcvTguCMYeVkVenh7DXRFOVdKqKdI2QqElpT6UcJruaZOEQb2Z0y4PZAzzYhKAn0/+G6Zj/5oewdVFuQmRkagbTYXw9OmIKY9BVkZHZOGd+uvBTuyJdU4pqivD8oefxbeS33I9DIBB0b8jfbcmiQWqLUwNrDRBep/pjS/OrUfN/vzWpULUPVf1IxdrUEE9N0pw3XcLpE9iz5AeVFsUaId/Z7d9+Dp1n0N26OVYXhHzXJt/TB+MWBrL0WGWgqrwKR752LhczS9FVkcv5iZZEUUUNswtQtgklJrsMN/94DPs4FHkIBJ2BEOq6AfUyOfLLa1FQUat0ghG1VK55aATzrOtMLufySzQLdLFi5dhSmDfIE5P7uEBTULurOiJdIxQk8c7Wzm9TVgWq+JszwEPyOGTG/NBYPy7H1NXx7BOGRZ9/jxsefAKuvQNaTQq0cXHFyHl34L5vfoXcnm/yb151Hroq9qaabZNSliUXl2BZtPRkM4FA0HWpr5OhsrRWJRFskI89Vj04HP4qLKYaKKiSzhCTqtX3mSvK4ucrd8cwH4wPkmYp8u7sMLhYayaUgWwo9vz6vco2E01JPH0C0Yf4+aFqhH63AXa9pI/jHAqE3ISeDi3qh43zxB3vDseQmb1g7djy80lts86+1phwVzAWvjEUha0Exkkht0y5cAdd7SrR07eBvlEQDE1HwtBsLAxMh0HfyA/QU/27Xg7VK1rJU/uRvyNxnmPhiECgKXp26UoXJqe0Bv9EpOFgfB5ic8qvRWiTn0eohw3zObl1sGe7xvx2Fsb4bfEQbLmQhZ8PXUF0VpnGj3vHxRzYmhlhfJAzl5bOh8b1Rl55LX4/qrrJ6w19XPDhLX2hKWjFpj1POmXZEJmJe0f10omU17Z4a1YfHE0sYIKxurwwNVjn23w7E2qp6TdpKtvI6LogLRW1lRUwMDaGg6c3m/A0oqekabiy8B5PWWpltSx0xZS8cNSA/OnWXF4DXYFaYUd7jIafrRCgBYKeAvlcRR/JROblEpTkVV2zCDOzNoaLrzWChrnCb4Aj9NvpCKDz/bYnRzNvXwqgaisATF8BBNQbYGSNIRzlyq+92xmkw8vkPJyMkmCuXwIF9GF1KgyoHAEETQfM2jeFVwbq3Lj7zwicTlE9jfzVG4NZAJmmiPh3DarLpFcmHf77TwSPGgsDQx0NwTIyA2b/ACydCahROcjQNwTm/AAY6Ohz1AIWNiYYOrMX28jTrii7ErJ6OYzNDeHgYcm87xrh3bCjjfkZzcsa6uXQ19ODgZF6NT7JF/KRHu8DE5v72tiHDPL6RDTUnIJCVqDUmPkm6rUA0zXzc2vOY9uTY3TWA1wgIPQU9O3rZMrKymBjY4PS0lJYW4s+cVWobZDhqz0J+O1IUovU0OaQaPfitGAsGuGjVGtndFYpItNKEJ9Thpp6OXv8qtPpXBM9G6HDGe3viJenByPUXboAtfZMOt7dGoPymrZTiRqhdtknJ/njkfH+Gk3pognqwfh8LmPdNtgLn9za79q/88prUFBeByq08rIz14lEo4sZpVdbddVYPSST1/fnaE407e58dOojrIxbyW288V7j8d3E76BpahpqWKrq3rS9iC6IRmHNVWHbytgKIfYhGOs5lqW8dhTOIFfI8UvUL/g16lfmKadLjPccj+8maf611BTifN1zEO+1NCpLanFwZTxSojq+yKRKnIl3hcAjqGNBrEEmR0RyEaIyS68ZuZvIgJJjufBqMIClCgalLkbxGGG1HB7G7VTqG5oB/eYBk94CLKR5YVFq/Re749liqjINH9T6++HNfdlCqqaor6vFLw8vQm0lnwrCG594HiGjx7P/pkuq0rxc1FVXwdDYmFlY6BvogBBw9i9gy9OqB0voGQC3/Ar0vVVTR9btmfLVIVzOreA23psz++De0RyqJDuAKoFjj2UhLaYIBekVqK+9aitiYWsCZx8rBAx2gd9AJxh0YEFE1cQH/47DlUjlrodIsJPVRKCh5kSH993tNAnxlup3VlFQxn2d8FpqCnHO7v4Ioa4LQeLM4j9OIzZbtcq3icHO+PGOgWqtGsz/+QQzNtYURgZ6zIPk8YnSfUjyymqw7EQqExepDbg55Plyc7gH7hnlCz8lE4qkCKphb+1CvYyPDk6T198WDWYr64cv57MqwkZIa6TEJTJ5vX2oN5w11CqibGvzU6vOK/0ZJdH0mRsC8cj43ho/tu7M5iub8drR17iN9+iAR/FI/0egSbZc2YLPTn+G4tr2qy1MDUzxYL8HcW/YvTDQN2hVpHvlyCvYnrwdugiFZOy4ZQfcLd3RFRETwZ6DeK/VJyuxBNt/jEJtlQoLBXpgFTlDZqh+odhQL8OSpw4rbXcCyDHccgXCLTZBX0/JxVdzR2DOT0DgFEiFUhn/Op7COjhaW/ylgLDbh3njzmE+sDHXbOVWatR5rPvgdW7jUUVd4PDRuLhvFzLjY5lI14ihkTGc/fwROm4SQkaPg5GJ9uZniNkMbH0aqFKy08PS9Wo1XsBkTR9Zt+a5NRewPjKD23hrHx6h0SRkqgw8tSUJF/alQ97BNQyJduNuD0Kvfq0L+lRt+O9X59Rqq5fVxaO+kuZ1rR9Dtb4p/vBeBDmJyWri52iBfc+N05hPuaYR5+zujxDqugjlNfWY+9NxtVdlyCvkj8VDmBmqKny2Kw4/HLgCTXP3SF+8fRNFyUuHVjSTCyoRm12OytoGmBjpMz87Cs8wlBg+EZlWjMjUYsTnlKOqXgZLY0MEu1lhsI/9dWmlFJox+4dj6GyMDfXxzORAPDjWT6PVgh15Jv55LBlLj6eyQIy2BNopfVzx1OQA9t4IpFFSU4LJ6yaz1lEebLxpI/zt+AZUNFIvq2ei4o6UHSo9boDTAHw/6fsW1XUU2kB+cLrMG8PfwPyg+eiKiIlgz0G81+q3um78IvJaxYmqjLi5NwZO9VH5ces+OYPcZGUWxRSYaPMdQswOqNf2OPd3IHQOeEAtZzR/SswvR32DAtZmhqyrwsveXPK4xxILcCGjhFUdUseJg4Uxs4IZ2dsBnnb/jR+xaR2OrPwLvDAwNISsoWOB1tLeATc8+Dj8wodAa1TkA4c+AS6sAura8Iw2tQHC7wLGPs+lBbqnsycmFw8sO8NlLFdrUxx9aYLka5m2qCiuwZbvLqgsrPUd54ExtwUyf75GFHIFNn4ZiexE9VvMG2pOo6H6SKt/O+QwGlHW0jtx9j83TuPFG5pCnLO7P9rvlxMoxXtbYySVTlML5h/HknH/GNW8km4b7I2fDl5RqmVBCrTS2sfNGvOHeEkei1ZG6EeX5w/vurMZ+OXQFSTktf0e0PE/OqE3ZvZzR46WzF5psvrJzjg2Yf110SCtJKgaGejjwbG9cf9oP5xJLUZURgmSqF1HpmC+iGEe1hjayx7OVlpcWe5m2JraYqrvVFZZJ5UhrkM0JtKRiP7SkZewJ3WPyo89n38eD+x+AH9N+wvmRlcvuqILo/HHpT+g63TlFF2BQNB+ZdueP6LVFumIk5uS4BlsB2cf1axg+ox2V0qo62++RT2RjiArgY0PAc59ACdp4V2Ni4m0qNl0YVMK1XUy/HgwEStPpaGwsq7V+5B2QL7Iz94QyLz/Koqkewc3RRmRjqD9bvz4HQy7+TaMXnAXtIKlEzDjc2Dy20DKUSD7PFCWebW808YLcB8A+IwCjKUJp4L/mBTsDE87MxYOJxWqOtWUSFddUYd/vzzHEqBV5eKhTJbLQtV1jVzYny5JpCMMTAZBVpcAhSznutvTTT0QZRUGXim6XVWoE3R/hFDXBTibWow1Z6SXTX++Ox6zB3iwNkpl8XYwZ4meG87RiVyzvLcthlX+abN1szmFFbV4ds0FHLqcr1Ts9+Mrz2HrhWxMC9Ocv4oyULDDwysi8dfdqldR8oL2S4IcbQLN89TAp3Aw/SDK6tQPhTHSN8JLQ16CplgTv0Ytka6R2KJYfB35NV4d9ir790/nf4JMof4FclsY6BlwHTe3KpfbWAKBQHc4vycdxTn/tTqqA1WeHFoZj3mvqFZpFTjUBZE7U9u9sLY2yMEwq78lHR8aaoBNjwL374UuQZ0LT68+zzoo2oMWmvfH5THbkMcn+kPbbrinNq6Gkakphs2Zp72DMLEEgqZd3QQanwu/OzsU9/4lrarO18EcD6hYbKEK9BukjkjXyKXDmfAKsYdfuBNbwDi7I1XyMenp6cPQbATqKzZeuy3X2AnbnadyS+noyim6gu6PZmR5AfdqMx5QQMSqiDSVH/fmrD4qiXvqQkEQ5MGmK1CC6bxfTigl0jVlZ3QOvt2XCG1Dk1Jenx1BS+rl9axSamvSVmxM2Ih9afuQWaF5QbstnM2d8daItyQlgpHYF2T/34ooT4privHl2S8lj7MqbhWrpMupzMGRzNZbIqRALba+1r7dIkVXIBBoDrlMzi5OeZCXWo6cJNWqTwyNDDBxUUi716tUTWek13qlmUpknAaSD0NXoHCNhUtOdijSNYXaYb/em4C/S9xVjVTgzvE1K5CbpP15YnelorYBJ5MKWTcMhc0dSchHSRWH74GaTAx2wV3DVW9vb8TEUB9fzB8AsyZpsjxJvVSodNhDexz6J56JdFfO5rEQCR7oG/pCT/9qtXHQ2MnY6HYT6gz4XZOK+ZlAlxEVdToOtTLuir6+5FcKW6Oy8cQk1YIbbM2N8fviwbjjt1NKpapKYfXpdDw3RTNCgaoteo/9HYmkfPVSwajVkwrZNN0y3BGf7YrHLQM92HvYWRRX1jGfGAqWYOnBJoYIcbVCPy9bFujR1YkrisOKmBXYlbILNbKWK3Eelh64NfBWzAuc12FaKW+m+E7BO/Xv4J0T76hcEfZo/0exOHSxxo5tQ8IGVDVIqzwhFFBgZexKDHcbzoIkeGFjbIPnhzyPm3rfhGcOPIMrpfy8ObtqkIRAIGgbauuipFdeJJzOhaufaucM9wBbjF0YxC6Qm6tP+qhHkNlBbseHyGVAr7HQhWC1B5efQVWdelXP+3P1UWvdHwPLLkBbyGUy7P/zFyx877NO3W9pXg5yriSiJCcLcrkMFjZ2cO7VG04+vZjXXnfwg1t2IoV1lVArZnPCvW2ZYEbdRZ3t4/zOTaEsBXntWdU6pMyMDPDzXYMwyEdzfoHUpsqDqrI6JJ7NQ2Z8+yFhqtoZufiPx9iFI+AZEoZX3tmNeo7XotSWLBDoKl3/V7mbQ2IHiXW8SMyvYJ4eqq7K9PO0xZqHRuDJf86169MmFUozTSusYi232mTp8RTJabfaFumIapoUnMnAA2M1Vy7fyJmUIvx6OAn74vIga+XJ04ogJdM+PK53lwyQoKCG7899j2Uxy9oViKiq7pvIb/B37N94c/ibmOA9oVOP8+aAm+Fv6483jr2hlNjkYu6Ct0e+jdEeozV6XDuSVQuPaA9qn7Uy5vsZcjRzxBz/q4bpoY6h2J++n9vYoQ58gnIEAoHuQFVwujBe2FgPmJgbsta1pqmzDoZpMNGXvjhyjbRT0AVe33gJJVXSqnVO2Q+FX1UKbBukeWhJIetyLHKTr8ClV2+NLzzHHjmAczu3IOdKQqv3MbexRd+JUzBoxhyYWanmlagL5JTW4OUNUcyPuz3OpZWwbemJVHwxrx/8na06tQX2s3n9MdzPAe9siUaZEmLTYB879phejhYaOy7ypkuPlXa905SEiFxUlvGtXvQKHQ+vPlc9MsPcbXAiiZ/PJPlWCgS6imh91XFSCzlOssj0Vq5AerF6Y4a4WWPrk6Px/JRAOGuwFTY2R32PLR40yOT46ZDmk247ix2XsjU6Pq0QvrnpEmsT3h2T26pIR9Q2yLEhMhMzvj2Cb/clQK4LSqaSVNVX4cHdD+Kv6L+UruIqqC7AkweexF+X+KXLKUtfp75Yd9M6fD7uc4xwGwEzw+tXDE0MTBDuHI53R76LrTdv1bhIV9NQg8QSfm0+1Q3VyCzn22ZcWvffBdsk70ncxiXfv7Ge2q9CEQgEfCktqOY7Xr76872AwS5Y+NYwhIxyg6HR1am9gxFn64vSNKBGe8IWEZdTxuYZUmnQM8Q5m/7QNgmnjmt0/LL8PKx991Xs+OHLNkU6oqq0BKc2rsFfzz2KxNMn0ZVIyC3HrO+PdijSNfc3nPPDcdYe29nMHeSJIy9NxBsz+yDU3RqGzSr7bMyMMDXUBUvvHYq1D4/QqEhH5NMCgYLvgkMtp7bXRpq20U4Lc+U2LoXbSU2cFgg0iaio03Ea5Pyq6RppS0hRBhNDAzw+MYBVRR2/Uoj9cbn46zhfX7nKWs2213YEmQ7nlvFrZ9E2FHJB77kmyvyr6hpw9x+nVao+rJcp8OWey6xa9JsF4Z3efqAOzx16DpF5kWo99ouzX8DBzAGzes9CZ2Kob8iSYGkjcTG9PJ0JjiaGJvC28mZ/7yyoypB36AOJdTxp+nr0tu2Noa5DEZETwaUdmd5/gUDQvVDI+M7PpHbyW9iYYOJdIRg11x/pscUwOHsMyAJf6ioBU+1VoKyK4NOiR1y2CsToouMwUmhvzpmb1LZ4JpXCjHSsfe9VVJYo34ZIgt2mLz7AxHseQvjUmdB1iirrcOfvp5intDo+dvcvPYPNj4/q9NRPEuPuG92LbbTYnVZUxbqn6PbOFo5K8qq5i2pWpnxDAQ0M/rtOIDsfsvWh908qi4bz9SMWCHgjKup0HCdL/pVrDpbS/cooHnxsoBPuG82/pZL8GLTJqWR+JeCEtal29XDyiSuo0Izw+PSq82q3CJNf4kfbY6HrrL28Fkczj0oa46OIj5Bbqb3kT309ffhY+yDEIQR+Nn6dKtIRDXL+F0K8xa9e1r2u+/dLQ1+S/DpZGlni6YFPSzwygUCgi5hZ8/V+NbMy4jKOibkR/Ac5o9dg9c3r28TIrNvMz+r0jFBkzq86Rx1K8/M0Mm5tVSXWf/SmSiLdNRQK5p935az0hSpNQ90cUhbWSex5YV2UVjs8TI0MmB0MtWBqo7qLUqd5Y+3I93fC1vW/18XK1AgvTZPuZT7Ay5ZVNwoEuowQ6nScUHe+K5cu1iZwtuK30uFhawYLzilEQa7a9S+LzebbetvfyxbeWi6tbs1UVyr/nsuU3ILyx7FknJboBahJ6mR1+C7yO8njlNeV49eoX9FTsTPlb4Lcx6EP1/HCHMOu+3egXaAkkY2SxF4b/hpcLbR7ISgQCDSDkzffuYqTD+e5jzPf30hYuQNmmjO0V8aWhNoceeI6dSEMjTVn5aKVyRmAA0uXoLxAQoqnQoE9S75HTYXmPKmlEpVRwhZ8pXI2tRg7LvEL7etqmFryWSBo6sXn2ouvz6Gz7/Xj3TncBxODnSUVUHw+r3+X6OgR9GyEUKfj2JgbMaGH58pNaXU91x/kAd78js/ewljjfgwdwTvZVq5QMG+/eUqu3OhxPm8YGejBzoLviZhWHz/fHS99HAXw+S7p42gKSnYtruWTXrU1aSsq6nR30qtJnM2dYW9qz3VMSmd1t+CXpjrDb0aL2ygF95H+j6hVwfjasNcw00/3W4cEAoF6eATYwcCQ3zRaIVPwrW5xCQOMOC4Seg2BtsOxGjhX/5g4e+DOj7+GW4ByFToGhnznUpZ2fM+LRFFWJqIP7ZM8TmVxEQug0FWWn+Bnu7P8JGc/xy6Eoxfftl87dwsEj3Cj1UouWNqZwCPQrkUS7A+3D2SdXapia27E/P/8nTu33VkgUAch1HUB7hjmzTWcYtrXh5khLy/mD/biNtatgzzZD7A2oXRSvuMZwNrUiCU3bX9yDG4f5g1Xa9NWI8LvH90Lqx8cznX/VFJPx8CTQ5fzkVFcza2VJTGP7yo5L6S2vDalqqFKbZ+77sAI9xHcxgqxD2FVereH3M5lvJHuI5kvXWs8OuBR/DjpRyY2KoOvtS/+mvYXbgu+jcuxCQQC3a1E6T1I9QvFtkg4k4dNX59DbTWnxUIjUyBsLrgRfhe0ibGhPveFTJrvOXh4YeG7n+Hml99C78HDYGJ+/WKxvoEBnHz9MO6u+zB+0f1c9+/s5w/eRO3bya1Sj8ZSaMArmwcHL0uoGGxGRHIR81zuidi7WsDCll9VqVewHWxdzOETxseepO94T1YU0hwzYwP8efcQvDI9WOnrtvFBTtjx1BiEe2uvMlggUAURJtEFuDncA38cTUZcDh8xI7u0BrcvOYX1j4zkUr02PcwNXzpclpxQS950i0ZowFNFRQJcrHAmtZjjeP+t2vRxt8aHN/cFbgYzv80tq7km0tma/+d3E+xqxe39nhCkfnl4WxxJKOA63rHEQvg7a7fluTViCmO4j9dTE0DnB87HtqRtXMaaFzSP/f8dIXewMWOL1Pc6pETc14e93u59xniOYem425O2Y0PiBsQWxqJe/l9lsqmBKUvanRswF1N8psDIgG/VhUAg0E2GzuyFpHP5aKjjI2ZkXi7B1u/OY/Yz4TDk4dc74nHgwiqgye+V2tV5/pOhTWjB0cfeHCkS55rN53uEnr4+/MKHsE2hUKA0Lxc1FeUwMDKCrasbjP7fHltRXIQDS3+FXMYnHMkvfDB4kxZ1jttYFUWFKMrKgIMnv4IBHtDcWZ0AibagQs2YrDIM9uVf4ajr6OnrIXSMOyK2JHMYDAgd48H+c+xtgVh1OQL1tep/Vxw8LNF/ctvFINS6+tC43pgT7oGVp9Kw5UIWkgsrr9OpqYJutL8ja5cd7ieCvQRdCyHUdQGMDPTxxfz+uOXH46htkHNLSnp69XlseGSk5B59WuX8ZG4/LFxyUtIi3gtTg+Bpp/2Y7HBvW/wTkcZvPK/WV26crEzY1hp0Qnn930uS903vLVXw8SY6q5TreJcy+Y7Hi8LqQq7jFVTzFTi7EgNdBmKMxxgcyTwiaZxeNr1Y2ytBYQ8fj/0Yi3csRkltiVo+cm8MfwNe1l5KCXpzA+eyrV5Wj5SyFNTKamFuaA5v685N0RUIBLqBjZM5Rt7ij8OrLnMbMyepDBGbkzFyLodqK+dgYOzzwMGP1B+Dfttm/8Dfl0MNqBKGl1BH86N+Hi19oKmrw9bFFaCtlVZV/yEjcPmk9Gp7e3dPeIf1B08a6utRmMkvGZfITb6ic0IdT5FOk2N2Fahq7dLhTFSV1kkah1peqZquMVBiwp3B2PNHtFrXhibmhphyXygMDDqulnOxNsUzNwSyrbymnhWOkO0Q2SnpwnWlQKAuovW1C4VK/HjHQCaK8eJCeglWnuLj8UCrFK9OD5FUNXjPKN2Iyb6xrxu3gAwHC2O1DE+pnTjo/yu9UqBWWndb/iltJPTq8ni84N2GTd5lPZm3RrwFGxP1A3JIDHtv1HswMfhP4KYU29+n/q5yaAON8f7o9zGr9yyVj4Mq5gLsAlgAhZ9t56foCgQC3brIHTiNbzfA+b1pKMzi5Gk65nkg6EY1H6wHzPgScB8AXWDuQH4pjZOCnWFnoXpy7+gFd3EJoBi/+AHwprayglu1XyPVZbq3kKoJzVjbtjvaxNTCCBPuCJbkK2dpb4LR8wKuuy1giAsm3d0HhkaqzX2pFZeqiu3dVe/6olRYStDt52krRDpBl6dnXzV2MSaFuGDNQyNY0iov/jyewsr8efDAWD+8PydMJY83Oi/eO6oXvpjXX2dOkpYmhlgwlM/q4aIRvmqJq/QYqqI0VfHk1hRqn6XVJU3AOynJ0EA33vvmeFh66PR4XQ0XCxf8MOkHWBmpLkIb6hnio9Efob9TywoESmjdeNNG1npqoNexyD7QeSDWzFpzrTJPIBAIpDBiTm9MWhwCAwnn7KbQtOziwUw+b4qBITB/meoec8aWwM2/AIMWQ1cY5e+APm58EiXvH+On1uPs3Dww9s57JO273+Rp6DVgEHhDfnpdYUypUJUU70sGL3v+i9pdCd9+jqxdVR2xztzaGLOeGAATs5aLlkHDXHHb60PhHmCrVBtuyEg3LHxzKJy8dM8ORyDobEQZgA6SUlCJCxklSCusgkyhgIOlCfp62CDU3RoDvGwxNtAR/0TwKW1Pyq/ExcxStvLAA2rZHNHbAe9tjWGBA+1pgGEe1nj1xhCM7O0IXeO5KYHYHZOD9CL1AxOoIu6R8a0b1CsDrQj9ctdgPLT8DGrqVWt5pjSjZfcOZSm/msDPyYKbhx7Ry1E305dCHUMl+Z+1GM8hFD0dEtqW37gcrx19DdGF0Uo9xtnIFbcbPIL6rW74t+Eca4lw9LRkSWCNkz9LY0u8PfJtPNz/YWxM3IizOWcRVxyH8rpyVj1HlXd9HfsycY785AQCgUAVFDIZamLjUBMdjYaCfLbSaOzhAdO+fWHi58favk5vS0ZZwVXvWakknsnFuIWBfBYxyTdz9vdAyCxg79tAXjv+q1T5TRV4Uz8E7LTvG9wUei0+vbUf5vxwTFICLFmCDO2lvh9Z+NSZrNLsxLp/VH5s4PDRmHSv6mniymBmZQ1TSyvmr8cLEiZ1DRszI65+hVRgwKOLpTtUB1M128GV8aguU67TxcbZDE7eVji65jK75rOwMWH/pjCJxjZY+v+bnxuIvNQyxJ3IQW5yKYqyKyGrl8PYzJAlz7r72yJklDus7FuG7QkEPRUh1OkIVNW2PjITS4+nMOGsNRwtjTFvsBfOp6vuxdQeURn8hDqit5Ml/rpnKBMcd0bnsOeTXnTVL8DFypQJUJS8o8upO+bGhvjx9kG4fclJlNeqngRlZ26EH+4Il9yqPC7QCRsfHYXn115AdFaZ0sm5b8zswyYy7VFSVYfKOhlr820aZKEM9HnZfjFHpce0P5767ZCa5AafG7Du8jouY1Fq6ABn3Wgf0jaUsLrixhXYkLAB/8T9g8SSxFbvZ6/nhKCs4eiTNgY1chOk4T/PQDJwB5Jh52aBITN8ETDYhd1OLbCP9H8E4Gv9IxAIeiiyigoULV2KkjVr0ZCb2+p9TAL8YTH/DpQV8gtvqq1qQGle9bWLXS4ETr26pR4HEvcB2ReAyjyAKpHt/a62uPaZDdjqlidZU2gO+c7sULy2UT0fX1rwfn2G+lYtjYycdwccvXyw9/eflGoPpXbZUfPvwKAZc1h4RXvXA1WlJZA1NMDM0gpGpqoJF669A5BygVPCvJ4eXDSQTMuD6X3d8NPBK1zGmhLqCkMlvNB6An4DnJhoRu33Mcez2xTsTCwMUff/3yjamhJ/KgdH1yWwBNgRt/hfq45z9rFmm0AgUA49Ba++RxUoKyuDjY0NSktLYW0tvrAkYj235gIiUoqUev1obZXnm3bf6F5M2BG0JCqjBI+siERmifKVdb4O5vh10WAEclyda5DJsflCFlacTMW59JIWlYokCE4NdcXdI30wyKf1VWL6qlOc/doz6TibWozcsv+Mc12sTTDYxx7zh3hhbIBjhyv4GcVVGPvpAZaUJRVrU0OcenUyi1rXNeg1m71pNpJLpadhPT7gcTzU/yEux9XdSClNYYm4mRWZUEAB02orFOwxgFGGPfSVdGjoPdAJExeFwNhUrD/xRJyvew7ivW5J5fHjyHrtdTRkZ3f8+ll64czgl7m+JzMe7cda0gQtWXMmHW9uuqRSxwEtEn+3MJz5WPGiurwMUXt34uL+XSwttrUqt9DxkzFgygzYOF9dUGpOfW0NYo8eQvzxQ8i5koi66quVYnp6+rBzc4d33/7oP3k6HL079nKOPrQPO3/8isMzA3z7D8TcV9+FLkLz0AmfH0S9TPpEdN3DI3pk4mtHyGRyFGZUID+tHNXldaw1tbKkDnHHs1CvZNK1voEehszohcE36oYPeXdCnLO7P0Ko0zKXc8tZ1VZBhfbM9O8e6Yu3bxIteW1BCUKf7IzDmjMZqGsndZf85O4c5oPnpgRpVHQqq6lHdGYZCipqmVect705glytWDpwW1DsPFXlxWR3XJVHLcmfz+uPYNf2RfSHl59lFZNSeWBML7w2Q3eF4tM5p3HfrvuYgKQuvta+WDtrLUwNRUl/R1BrxKavzqGuRnVDbFc/a9z0VDiMTHRP9O2qiIlgz0G819dTumUrsl5+ma5WlXr9Sq18cXbQC1zfk+kP92UVLoLWScqvwFubo3Ekof1EdWcrEzx7QyA3/+G2qCgqRF5qEuqqqlgFnYOXN2xd3Npd/Iw/cQT7/vhZqaq84FHjMPHeh1mlXVs01NVhyeP3sqo8qdz88lvwCx8CXeXLPZfx7b4ESWPcMtADX84X3Q7KcOlQBg79o17Cdb+JnhgzXzO+2T0Vcc7u/gihTouUVtVj2jeHkV3Kx89EXZ6ZHIinJl+f1CNoPZn033OZiEwrRnxOOaqobdTEACFu1hjkY4fZAzw6bDfVBuvOZuCVDVEqrToaG+jjk1v74ubwthPWskqqMfWrw2q1BjdCwSi7nhnLAjx0ma/OfoU/Lv2h1mNNDUzxx9Q/hC+aEtRW1eOfdyNQWfJftaeqBA93ZSljAj6IiWDPQbzX/1EVGYnURYuBBuXPb1Wmjjg5/B2u78nNzw9kbWiC9knMK8fmC9msC4JsV2i+Q3YxoR42GO3viCl9XHSutVEhl2Pvbz8iat9OlR5nYWePua+8AyefXm3eJ+HUcWz+8kNJxxc4bBRmPfsKdJl6mRwLfz2JM6nFaj3ez9ECGx8bpZNzd10jJ6kUGz472673eEdMujsEwcPdeB5Wj0acs7s/un113M15Z2u01kW6xgoqQcfYWxjj3tG9cC/anhzpGlujsvDCugsqn1jrZHLWjm1qaMB8QFrD3dYMH83tiyf/OadWCyxVIH6zYIDOi3TEM4OeQZ2sDitiV6j0OAsjC3w94eseK9JRS1BGXDTykq+wagE9fQNmTE0eOm7+gS18eo6vT5Qk0hFxJ3PgP8QFPqEOEo9eIBD0ROQ1Nch+5VWVRDrCrKYABg3VkBnySY+kIiwKzRF0jL+zFZ69oWuFAVAVnaoiHVFZXIS1772Ghe9/DjtX91bvEzBsJPrfcCMu7Nmu1rHZurph0v2PQtehTpI/7hmC+/46jdMpxSqHri2/b2jPFemKkoC0U0BeNFBbARhbAM59AK9hgKN/ixbYfUtjJYl0xNE1CfDu48BSYgUCQcfo/hVyNyUxrwIbIjO1fRgs6Yi8yQTdj+zSaryy4aLaJ1YS315aH4WBPnZwsW69ZXNmP3e2ovnS+ovttgW35kv3852DupQnyEtDX8Jg18F4/+T7KKhuv82GGOY2DO+OfBfulq1PpLszRVmZOLn+H1w+dQyy+vpW72Pj4sqS88KnzYK+gQET6CgNjAeRO1OFUCcQCNSiZMMG1KWmqvw4am60L45HvhOfNjqXXjbCc7Obknj6pNoiWuMi2M4fvsKCdz5pM5hi0r0PM0+x87u2qTQ2BWTc8so7MLfWzZCv5libGuGfB4azYInv9ieyheaOBPDFI3zx0rRgnfRG1jgUInP0KyDlSNv38RoOjH4aCJp+LbyrJLeKS0DOpcOZGDqz6xQ8CATaRAh1WuLvU6pPAjXBrP7usDHvoatJ3ZwPt8ehvEb9tlSirKYBH22PxdcLwtu8D7XH9vWwwQvronAurWNPlEnBzvjg5r5wtel6fm2TvCdhpPtI7Ejegc1XNrMAhOqG/4JGnM2cmZg3P2g+BrkMQk/k7LZNOLpqGRrq2q+MK83NwcFlvyHm8AHc+MRzSLkkh5xHOgm1ZSeUsEkl17REgUDQIyhZtVrtx3pkHeEm1IWN7XmLPD0BSnPd98dPksfJuhyLS4f2ou+EKa3+nQS8Sfc+wgIhqMWW/PPaQ9/AEINmzMbI+XfC0KhrXRdQW/MTkwJw2xAvrIxIw85LOawgouH/cwoS53o5WrD5553DfeDjYIEeR10lsP1F4LwSnSHpJ4F/FgBhc4GZXyHmaBa3w4g9liWEOoFASYRQpyWOJ7Z/wuwMzIwM8PgE3YxdF0gjr6wGOy52nFKnDFuislnYg5OVSbttJxsfHYXTKUUsVZYEuyv5Fawqz8hADwHOVhjia8eMnMnTrytjZmiGWwJuYZtcIUd2ZTbqZfWwMraCg1nPbrc8uGwJE+pUIS/lCla9+SJcQ57i7qcihDqBQKAKDUVFqL2snlk6YVccB9vieJTYBUl64R08LFgLv6D7kRBxvEPRTFlObNnUplDXSO9Bw+DbfxDbb/zxI8hJSkBF4dWuAGMzMzj79oZPv3D0nTgFFrZ26Mo4W5vi6cmBbKuplyGntIbFgNH8tSvYrGgMam1dcQuQfkq1x11aD0XBFeQk8fPerCiuRXlRDazsu95ivUDQ2fTgXy3tQSePxPwKbR8GXpoWBF/HHriq1APYFZ1zbSVRKjK5AkuPp+D5qR1feAzxtWcb0SCTsxYEE0MDlk7bHdHX04eHpYe2D0MnoDYeVUW6RmoqK5BzJR8APz+mggzt/8YKBIKuRU10jKTH05kuJH4FIga/qrZXnb6hHiYt7gMDHQs/EPDh8smj3F7K8sxUZKemwc2n/TRbA0NDBI8cyzaiob4eCrmMJdO2l0jblTE1MhDXOI1sekx1ke7/lGbkoKFOeWsbZSjMqBBCnUCgBEKo0wJl1fVM/NAmD4zphbtHCY+A7sqFjFKu41ErgTJCXfNWBF1LWWvO2dyz2JO6B9EF0cisyIQCCjiaOaKPQx+M9RiL8V7jYaDfAz1MVKQsPw+HVvwpaQyF3BB6HD8u9bUyfoMJBIIegaxEvfTIppjVFKHfxZ8R1fcRyAxNVRbppt4fBifvrhWMIFCenCsJXF+uFVuP4oXHblfpMVdbW3W3vZU8j2nB+dDlfFzKLEVBRR1oOuljb4F+njaY0c8N4d5du/qv04jeCMT8q/bD6xX8K9/E/EwgUA4h1GkBbYoXVPr96o0huH1Y+6tvgq5NWqF009emFFXW4VxacbeZGJ3LO4cPTn6A+OL4Fn+joIi4ojhsSNgAZ3NnPDvoWczwm6GR4yB/O0qTpXZaY4Oum4J1est61Nf859WnHhQ6wW9CaKSjJtH0+UouTWbt0jYmNvC384eJQdtt5QKBoPPQM+QzLbYrTcSgc18gJmQxKiw9lXqMtZMZJi8OgZu/LZdjEOgecpkM5QVUPc6Pi7FJrFOHKsi6A6si0vD57ssoqGjpc5tbVouIlCL8djQZ/b1s8cGcMIR5aCb0oraqEgq5AsbmZtDvygu2Bz+W9HAjvTrwxtBEB19PSt4rvAKUptM/AGsPwCEAaCOsRSDoDLq0UEcnps0XsrAvNheXMsuQU1bD2g487MzYD/fUUFdMD3Nl8d26hL2FMYsDL61uPQ1RE1iZGOKWgR54cFxveNiq144h6DrIpWaot8Km81ndQqj7/tz3WHJxCfOX64i8qjy8fORl7E/bjw/HfChZUFEoFDiaeZQFUUTlRyGr8qpBr4GeAXrZ9GIBFLcG3opg+2B0FerralkghFTksgIY6POrIrH30J22/uyKbKyOX41tyduQU3l9sq2hniH6OfXDvKB5mOo7FUb6ulvlIBAoS2VJMS4d2IO06CjkpyShpqKCtd/ZeXjCrXcgQsZOgGdwqM69oMY+PtzGsqzMwsDIT7B/4Bzomw2AvkHrHqZWDqYIG+uBvhM8dXaBQcAHhRLzDlWpqW9glWd0zaMJaN7SGe2xFbUNeGJlJA7EKydkXkgvwZwfjuGFqUF4aFxvyfuvr61B7NFDrDU5N/kKasrL2O3UHuzk44teAwaj76SpsLS7au/SJUg9AeTHSRrC2iAHhno1aOBYWefgrjvzM2ScASKWAPHbgdqr7/k1jC2BgBuAIfcDvqO1dYSCHoxhV05N/XRnfKtiV2phFdu2RWXD2EAfA7xsMDXMDeMCHZnpvS5ApdtHEq6auWqKUDdrzB/ihVB3ayZcdpfVNkHHOFryr9C5kNFxoquy1DbI2Pdzd3QuLmaWIqv0ajWWi5Up+6ze0McZN/X3gBnni5YvznyBv6L/Uvlxu1N3o6K+At9P+l5tIeVSwSW8cewNJJYktvibTCFjt9NGgs5Yz7F4c/ibcLHQfTPxvOQk1FVLr+CUN2TDwIhfO76rn2ZW2VVBJpdhacxS/Hj+R9TKWk/BbVA0IDIvkm1/XPoD7416D6EOuidgCATKUF9TgyP/LMWFPTsgl12fOt5QX8dEO9qi9u2EsZk5S6T0HTCQGd6bW2v/O2sSEAA9U1Moamq4jFdpYoiG+gtA/QXo6dtDz9AFevpWCBw2Gr0GBMPJ25pdtOp1Ux9XwfUYGBrBxMICtZWV3F6aKgMzRGWUcBPqqspKmcieevE88khkLy9jCbJ2ru5w7R2A4NHj2feWp3hHhRd3/xGBM6mqtZ6TF/NHO+JYqyylvqpL9KF9LIW+pqK85T7qapGdEM+2kxtWYdCMOV0nGTdFuh+ivp4czoaJyKoP43JI5tbGsHbUgYKR6mJgx8tA1Kq271NXcbV1mLaQWcCMrwBLp848SkEPp8sJddV1Mjy2MhL74/KUuj+Z2UekFLPtPQDDetnjxWnBGOSj3cqgm/q7a1yoo+e+eKSvRvch0E3CPKyxM/r6yh2pJBfwmVhuPJeBD7bFMs+R5lBVLG17Y3Px4fY4vDgtCHcM41PhcCDtgFoiXSPHs47j16hf8diAx1R+7MrYlfj09KdMkFOGwxmHcfPmm/HNhG8wxHUIdBm66OaBrDYahqbDocfBqM6llzXs3bS7Ykstzc8efBaHMg4p/ZiE4gTcuf1OfDzmY1ZdJxB0JYqzM7Hh47dRkqNc4jgJ/FS9QhtV2wWNGIPRty+Glb0jtIWekRGsp05B6abNXMbLsv1vcVghL4Kiroj9t4mpM0JGTuSyD0HXwqVXb6RdiuI2Xr6JE5f5GQVMnFj7N85u3wRZ/fVFEAq5HEVZGWyLOXIA9u6euOHBx+EZwke8+WRnnMoiXVO+3HsZg33tMaJ361WrbSFraMDOH79C3LFDSrcun968Hsnnz2LuK+/A0l61/XU6OXw+Z33M9yKrlM97HTLSDVqnJA1YehNQnKz8Y2K3XK2+W7QZcArU5NEJBNfQrZ7QDqiXyXHf0tNKi3StcSq5CPN+Po6Pd8RBrsVAh1n93TVS9dSUK/kVWn2OmqSytgErT6Ux0XbC5wcR/u5uDP1gLxb8egIf7YhFXE6z8uUexthA/is+9Q3SWjZoxfPxlZF4ZvWFVkW65lC17GsbL+Hev06jqu76ygx1vODePfkupPLbxd+QVKKaMLUmfg0+ivhIaZGukfK6cjy27zFczL8IXYYSW7mgKIe8rqVnoDoMnMqvfU1dXjv6mkoiXSMN8ga8fPhlnMw+qZHjEgg0QWleLla/84rSIl1rF8wkACx9/jHEnzgCbWJ3510Ah2qhen09ZNi33sVRlJmG7kpZQT5Orl+FDR+9hV8fvQc/3LcQSx6/Fxs/fRcRm9axtuiejE+/gdzGqtI3Q76xI+oaFJLfs79feZq9P81FutYgwW7NO6/i+NqVkAq1sP51PEXSGOT28tL6KDTIVJun7vj+C6VFuqYUpKVgzXuvsZZ+naaGTyeMv+kx1gIrFSMTA4SNU86zU2PUlKou0jVSng0suwmoUF+HEAi6rVD33b4EHL9SKHkc0q5+PnQFz6+9wLwXtAG1ob4/R7PtTfQ86+X8/TC0CZ2Ev9+fgGEf7sOrGy+y9klaSSyuqkdeeS1OJhXhl0NJmPb1Edy+5CSS8nX8JKoh+nnawtmKrxBsZ6F+2AF9z0hU3Rql+kUcCfP3Lz3DhHp12Z60nZn4S4VElJVxyk9MSdT7JOITSQIjeeTR/+sqVAnDi/rqA1DIpVUG9B7oDL8B2m1N2HJlC3am7FT78dQOS23SFdR2IRDoOPT7vuOHL1FZfLVaTArUErj1m09xcf9uaAuzvmGwW7hA8jhx7o6oN2zdvqGhrvM8ijsLapnc/v0X+O2J+3BszQpWdVRemM/aCSkZPOlsBI6s/IuJd3uWfI/aKr6hV12FsAk3QM4pnCDGKhhyPQPYW6jfhllVWoI1776CgvRUlf32TqxbieNr/4YUfj+azIQ2qaQVVWF3TK7S96ffGCmLAsVZGdj/58/QaTiFlBnoNWCC9Q9XQxYkMHKuPyzttByetfNV9US6pmLd1md4HpFA0PWFOqoO+/HgFa5jbjiXyU4Q7UEVaSVVdSitqucu6k0Lc8OdwzWXvmpqpA+TNiaJXZG8shrc8tNxlgZFprMdQaLujd8ewbqzGeiJ3Dmcb1VRmLv6/kF/HkvBHhUmUK29l9/vb+ntpiwU3sCLbUnbmPeYMnxw6gPUyaUlZqWVp7FKPl3F3sOL32CKGhgbH4ehkXqnJgdPS0y4MwjahNJcyQtRKhQ6QZ51AoGuQxe8mXHR/AZUKJiQk3Mlod27yRrqUV1exsUjsznOzz8P01D1F1OzbC2R7mDd5t/Jp6w7kRFziVVDxh6hxZb2F9XIuzBq7052fzLt72mQF2N9n3GSx6k0MMM5mwHsv6Ukn+7+9TuU5qpfLXVi/Sqkx6hX+U/dEjsv8bNpWa/kfJ8SXQ8t/13y/mKPHuTaxswdR37zIU+TSxgRFC2p5ZVCc7RK9gXg/Arp48RtBZJUr8QUCLqtULfseAozDeXN57vjkVp4fQUHRYL/cCARc386jtC3dmHAu3vQ/93d6PfOblaltfR4Cspr+KyGvntTGBaP0EybVohb25PErga9J7f9ehJRGaUqPa6mXo4X1l3AmtMUt93zhDqe/tQj/R3UFlg/2yW9pfHHg4lq+bCQqBZTGANeUKhEUmmSUn5jETkRXPa57vI6JgDpImQuzaNNrBH3ADvc9NQAlVddvfrYY84z4TAx167B857UPSiskV75TaxPWK+z77tA0Ejk9k3cXwwSe8g7ijyhmrec7f/zFyx94XF8c9dc/Hj/7fju7vn45ZHF2PzFh0g4fQJyJRdS2kPf3Bzev/8Gs/BwlR+baWuJC97O7d7H2dcP3YWMuGis/+gtVpmlClRtt/a9V1lgQU9j4Oz5yDNW34uRroYOOIxDjcHVJM6RKnqzNZIQcRxXzpxS+ziuHowCe379rkOBtjWis8qYn3Znh55ReASJdTw4t5PfQjB3PAdxHW7gWGuMWxgIAxUWU2l6GD7FGxPuCobWOc1x0fv0En5jCQRdPUxi04UsjYxLQg5V1b07O4y11lHVzk8Hr7R64iivaWCVPbR9viseL00Pxh3DvCUlH+nr6+Gd2WEYE+CE1/69hNwyPkljxLBeOm5yqgIvr49S2yyXCiFf33QJ4d62CHBp3S+GqiVPJBXi5JVCxGSXoaSqHkYG+ujtbIH+nraYFuYKK9MukPDUBHsLY8zs54bNF9TzDGqKubEBbg5XbyVsZUQaquulXzjVyxRYfiIVb87qo9LjMisyUSPj970irpReQYBd+wljO5J3cNtfUU0R8ywb4zkGuoaFrR18+4Uj5UIkl/FCx06Em78tFrw5DKf+vYLYE9loqGt7Im9pb4IhN/ZCn9Hu0AUOpB/g+r5HFURhkAvfybZAwAsSWQozNOO3RuOSiBAwbCRrq9z324+4fOpYq/etKCpkogNttq5umPrwU5KN7g1sbeGzYjkKf/8D+d9/D9S1Xx1da6iPGHdHZNu1Ps9oCi8Tfl3wKN32zacsGVNKq/OiT76FobFxm4mgFDAVmVqCy7nlbD5haWKIYDcrDPW1x/ggZxh0sdTcG8I88HHALRh1eS3s64tVFukOOoxBssXVlPShvezh79zxZ641IrfzEZmKs7OQdO40S29WhYRcvvYO5H9cXFnXoVVL3PHD3PZ55WwES7s2Mr0qmuoUgdMBU5urvmxSMTIH+sxBmJktPILscHRtItJiCtvthqVgL2p3dfe3hU4Qt53fWAl7qKyb/F/4jSkQNKNLfLqo4o2EE02xITITj473x0MrzjJTU2Uor23A6/9ewsH4fHx/ezjznJPC5D4uGBfkhEW/n8KJJOk+L6QdLhzKsSVNi2y/mI29sXmSgwxe3nAR6x8Z2eJvm85n4pu9CUhqRQgk8W4F0vDW5mjMH+yF56YEdinB7slJgaytoE4mrRr1wbF+aj/vf89lghf0Xqkq1FH6Jm+UqXLiWcVHXCq8pJNCXWF1IWxG9QU4CHUOnt7wHXBVlDIxM8TYhUEYNtsPVyLzkZtShuLsSsga5DAxN4SjpxXcA23hE+oAPR26SOP9vtN4QqgT6Co5Vy5rdPyo/btg6eCAjZ+8i+oy5S42KdCCgi1Gzb8Tw2+5TdL+9QwM4PjgA7CdPw+7Ft8O68wcWFfXwvj/i7k1hgYoNTdBto0lcmwtIVfit8jGxRU+fa+2LHZ1jv6zjImkUiCvr1MbV2PUbXe1mLdRd8vSEymtXgMcupzPPIndbEzx0Fg/LB7pK2nhvDMhYfHR6eF4vbwB4wqPIrhSue9RhYEF9jmOR5r5VdscerrP3RCodoBERuwl8CL2yEGVhbq6BumLuM2p7SD4jCpu81MkeJQ1gyoJc1OuwDNYs77j6lBaCuj7LYRVDAcvvQG3A2ZXBTc7VwvMeqI/SvOrkHSuAPlpZSgrrGGFERY2xnD2sYJPmCOcvNUTkDVCaQZQJd2r+hoNNUB+HODaPRZdBLpJlxDqkvL5lCe3BfmdLfz1JJKbtcAqA63yPbziLP5YPIRVx0mBKrg+uLkvpn9zpMMTTUfM7u8OH4fu4YHy2xE+bRFnU4txLq0Y4d5215Jjn1tzATujO/bHqKqTsVSq3dE5+O72cAzysVf7OKhyk95r3tCkltJuY7LKUFL9/4pAJws8NsEfX+1t3+unPcI8rNkY6kDejimF/PyDCivrkFFcBU87c6UfY2XMf6JgaWTZ4X1Sy1QzZu6ItDLdSQmkKsXV8auxM3knsiuvVmyOcXdE7yz1f3P09PQx5aEnW1xoUSsrVcvpSsWcMt5yujyeQMCToix+CzGtQd53695/45oPnXF9AywoiEEB1BkaoNLEqPXWe4UCx1Yvh76BAYbOvlXycRja2sL32edYOy6hL1ewQhKFGvO+YTfPh55+l3GeaRNKvKQWQh6c37MDw26+7VpVHflSP7oiEvG55R0+Nru0Bm9vicH2izn4/o5wOFupV9lEnRUkutBnhjcUnJGblMgCG6j60NjMHKO8fTE6yAV7EichtjoI/csuwrcqFfqtlCiVGVrhklUfXLQORZ3+f7YQd4/0xTA/9bpncjvwgFSVnCTVx7M247vwTT8FVqbtX9pWFBaqXQHa3uKArgh1OUmluHgoA6kXC1Fb1QBDjMcCx39hYyhhLmHtAUx6s8XNNk7mrK21S1CqgXNVWaYQ6gQapUsIdTz9C9pCHZGuEaqq++NYMu4fI91zxM/JklVtfbg9Tu0xnKxM8PZNunHCkEpKQSUi0/jEixPrIzOYUEcGtov+iGDinSpkldbgzt8i8Oc9QzBcyckRJc+uOp2OiOQixGaXMRHWUF8P/s6W7FhuHeSJQT5XxUN1oHbpJYeTsC4yo9VVZ7qO8LA1Q2aJ6smhfo4WTIRWV1iU8r1qT7hXRahzsXCBnYkdimtVe6/bI8QhpMP7yBR8V4p5j6du6i0FW/wa9Svq5dd/1k6FFsKu3Aj25eqljI254264B+qAh4lAIFAaeUPHwU5SoJYy89p6+BWWwq2kAmbNbBQa9PVQYGmONEdrFFi1PC8cXbUM3mH9r3ppSiR03CSWEpl87oxSlXOtQRXDfSdMQXfg8smj3ASPmvIyJEVGIHD4aCTmleO2X06yhTlViEgpYo9b/dBwpcU6CgKIObyfVYYWZWawJFMjE1M4+frBq09f9J04BTbOLhIqThNwZssGJEScYCEazelvYgp7u2DsNQzBNpfpMJLXwam2AHb1JdCHHNX6psg3cUKpoXULQXp6mCteu7HjuUhbFGXzFS4okELW0KBSEjxvL20fe3NYmLS//+a+lzxQx5+PN9UVdTj8z2Uknr2+A6kBJthV8jzm2L8BY33VrwNgaAbM/f1qC61AIOhUuoRQZ2fOJ15ak1AoxU0D3NVeyWvKA2P8cCWvEqvPqB6AYG1qyIQV2y7wminDeSVbkZXlQvrV1pm3NkWrLNI1Qv4oj/4diT3PjIWDZduG94UVtXhzczRr3W0eGEzBKHE55Wz7JyINg33s8Mmt/dDbqeNKraasPZOOd7fGMP/EtqAMlkaRzkBPDzIl04un9HHBR7f0bfc5dkSDBkR2qkhUlcGug5nJPw88LD3gauHa4f3sTe2vVZvxgMbTJlX1VXhy/5M4ldO68XSdkQK7huVi0hknOJco/ztI1Qtj77gHg2bMQXfAzdKNazWlm4Ubt7EEAt6YWmqutUlProB/bjF65xW3mXxmKFfAtaySbfmWZrjo5YQaY6PrLqApQfauj7/hckw3PvE81r77GvJSVE8rJfFnxhMvoLuQlaD+gnJrZCdehvegEXhw+VmVRbpGyMv4qX/OY+UDw9ptg6W02d0/f9vq+1hfW4Os+Bi2Rfy7FqHjJ2H8ovthYq58xXhDfT2O/rOUecCR+Nfm/Wpr4JZzHnfqX8Jxm8GItBmALDN3trUFLfQ+Mr43np4cKMmbrzXhUCo0pipCXaCLFfNTLlLz/VbHm9vM2uaq6KnkXFgZzKy0G95XnFOJzd+cR0Vx68J5fkNvbC5+G9NtP4aFgQrXPuaOwPylgM8IdHlsPLvGmAJBE7pE7X2ImxXPUEGNhVKsjuCTLEqTi4/n9sWzNwTCyED5Jx7saoW1D49EX8/us+qRmFfBfbwjCflYq2SEe1vQpIJaLdribGoRpnx1GNuiWop0rXEmtRg3fnMEG88pf1yf7YrDC+ui2hXpmkMinY2ZEczaSWwiY+Jf7hqEXxcNliTSEbYaSODsyCS4NW4NkN76dG2swFu5Vd2pQh8H1bz5eEItQc8efLZNka6RWmM5dozIxZmgYtQZdiyoUpXL7R982W1EOqKPfZ9u874LBB3h3Ku3Rl4kQ5kcw65kIaAdka45ThXVGHM5A7aV14cH5SVfQWZ8LJfjMrWwxLw3P0DgsFEqPY4CMea/+SFMLVVbjNNlijLTuY/3zb4EyXY35C1MXQxtcW7XVqx87VmlxFYS2S4d2IO/nn8M+anK+ZrV19Vi48dv4ey2f9sV6ZqiJ2/AqOKTuLPuWKutr4SxgT5u6u+OTY+PwnNTgiQHaPAW2Q1NTGBorNqckZ4D+T/zYuGwjtswTczNYevS8WKrKrj4qWcPw4Oqsjps+rptka6R3PpA/FPwLWKrJkKu6OBXVU8fCLsVeOwU4Dsa3QIbD8Ci/TTuRjIUjviqfi7urHsFg2t+QkjNH+z/b697FV/Uz0O63OlqpaGT6AIRaJYuUVFHJvb9PGxwIYNDao0G2XwhC09Mkt5e0SjWPTkpAJNDXPD13svYF5cHGZVGtYK7jSnuGuGL+0b3grFhl9Betdb2TONRqi8PtkVl4cWpQfCyv77d5mJGKRb9HoHKOtXK66klljzzDPX1Mat/+35cf59KxQ8H1HsepdX16O9pgxemBrGKPmqXpc8NteL287RRqa20I3o5WsLMyIBL6mvjpC7EVfWVyxHuIzDAaQDO55+XtH8HUwfMC5yn3D7dRmDd5XXggYGeAYa6DoW2WBm3EseyWk9bbI5CD7jUuwxxPuXolWUB90JTOJQaw7zeCJYmVrBzc4dr70AEjxrXLVtdJ3hPwI4UPom/hnqGMNTvEqdpQQ/FIyiEVdBQyxs3FAoMSs6GfZXqad1GMjmGJGXjeIAHKk3/W9SJO3aIHSsvsW7Ws68g4dRxRGxay9ob28LFLwBD59yqsrDXFZDV863IqqqXs2R3Hvxy6AoWDPFqUVV3fvd27P9DdWP9isICrHnvNSx891PYu7dfRbPzx69ZS6062GVdxI/TekN/6EyWcEtFAJamhqxFdICnLWw4Ln46+/IV2Z19/NQK87h3lC9WnkpFmQqLzq0xLtAJA7yUSxf16RvOfOV4QJ8HKwdHaIuDf8ehskS5FvRahSX2lz2BUxULEWx2AG7GsXAwTIWpUR0MzS0Blz6A51Ag/A7Atot4z6lC0HQgcmmbfy5WWOLd+ruwST4K8mZLRNUwRYHcBscRhh9ks3GjRQbermqAoyV/T0uBoJEucwVw+zBvXMi4CF2GzG8poKAjfwRV6ONuzSqbckprcDKpEJcyS1FcVc9K3/2cLFj1HJV6d7VoelVaeXliYWyA41ekJZQ1QrrpmjPpbGWzkZp6GZ5cdU5lka7pmK9suIhwb9s2BbP0oip8sE1adQCJ3hczy1j7hCahz+VwP3sciM/nMh5NwsyMVT8p0uTxvVHvYd6WeaiRqX7x18gbI96AjYmN0oKNk5kT8qulP/exnmOVarfVBBV1Ffg28luVH9dgqECCdwXbGnlt2GtYELwA3ZnJPpPhaOaIgmrp6WINigYs3rEYTw96GotDF3M5PoGAJ9TyFTBsFBPCeOGXXwKHZlVxqmAkl6Nfeh5O+Htc8/XKVcPoXpkqOdqo0irrcizy01JRX1N91ePMxxfugSFw8umF7oqJBd/Ashh9dxbuxgMKsaLKupG9/xNQCtJScHDpr5J89LZ/9wVuf//zNgMn4o4fxuUTRyCFmF2bsWDUaEyZqNmFLJdevdl7WFvJx0vYO6yfWo9ztjbFm7NC8fzaC2rvmwIkyKpFWfrfMB0X9mxXe3/XjTXlRmiL9LgiJF9Qfa5RKXfE2cp5QONbrwcsfHMY7N26Rwhhmwx9oE2h7qw8AA/VPYMCdCz2koi3tdgbx786jB9uH4gRvdULdBEIuo1QNyfcA78eTsIVDSfASoFElrSiKu7mqISrjSl7DWjTFcgrbHd0LmslvZRVioLyOibM+Dqao6+HLWb1d0Oou41koZL361hWw6+dtrnP3Y8HEplHihRoovrOlhgsWTS41b9/tz+BpdBK5YcDiVg0woersNwadwzz4SbU3aFEW0Nb+Nr44rNxn7EWzuZBCMrw1MCnMMl7ktL3N9I3wmMDHsPbJ96GFKiiisaRgkwuw+nc07iYfxHJpcksFMLaxBrB9sEY4joEPtY+bT5205VNqGrgk9y7Km6Vzgl15L0XVxTHfOUosIO8AKndVF1hlN73Fwa/gJeOvMTl+Eis+/zM5+zY7g27l8uYAgFPht+yAAkRxyGrV/13tTlGDTIE5EgP/rGrqoVHcTky7a/OIYo5Vc+0BolxuibIUSJr7NEDyIiLQUFqMkvNpdZERy8fuAUEo8/YibC0k+Z76uzbC+nR6lWOtUaWifqhDa0RmVp8nVC357cfJVd+kuB7fvc2DJx+U6sWERReIhVqlz22ehnmvfEhNAkl7IaOm4zI7Zskj0Upxn0nTVX78RSqRtY0Px9SvVOEujbIrsXd1kzpx9D3lar6pS4w2Lq4scARKZTX1ONoQgGiMkuRVVLN7HLoWiXMwwZj/B3btXu5eECajc81FMClQ5kYuyAQukRVaQlLSy4vKmQL7tZOznDp5a++hYBrX2DgIiDy+u/pOXlv3FX3CqpgqrIN0j1/RWDZvcOYbZBA0GOFOhNDA3w2rz/m/3yCGfHrKm21p3Y3Vp9Owxe7LyOvvGW5NQUXHEssZCfcob72eG9OGIJc1fPCGOhtx3w5eLXAkj8bT6h1tJHaBhn+PpXGZdx9sblIK6yCt4N5i7ZVarHmAQmCG89l4s7hbYs0PJgY7IyB3raS03uDXKwws1/7LcEdMd5rPH654Re8dvQ1pYMeLIws8NKQl3BzwM0q729u4FzsTduLo5lHoS6P9H8EQfb/VW2qAgmSK2JW4O/Yv5Fbldvm/Ya5DsMjAx7BIJdBLf52IP0AeHGl9AoTxNoTBjuLiOwI9rocyjjUaqKur7Uvbgu6jb2HZuRFogI3+t3Ixt2ezGfFnvgm8hsMdB6IAc4DuI0pEPDAwdMLI+fdgSMr/5I8lldRGQw4mbz7FJRdE+oUcu2nZncG5I92bPUKXNi9vdVEVmr3Szx9EsdWL0fI6AkYt+g+mKnpVebZpx/ObpMu8jSSq6CLbz4pskRsk/kZtSdTOAQPzu3YgvBps1q0eaZciGTJpzyg1tmirIwO22ylMnjWzYg+tFdyVV2/SVNh7aic/1dbvDw9GK7WJvh4Zxxr+VUGXwdzfL0gXOmW16ZMvOchZMRcREVxkRpHezUIa+ojT7EKWnWgwLmv9l7GxsjMNrtwTAz1MaOfG+vc8WgmRMpkcqRFq3fsrZF8IV8nhDpK5Y05cgAXdm9r01bAK7QfwqfOZBXNKjPlAyDlGFB0VRSuVJjgifonVBbpGqHP6pP/nMPuZ8fC2pS/L7egZ9OlDM1ItPlifn+dbvN0sOweaavtiTv3/BmBl9ZfbFWka05EShFmfXcUS4+nqLU/Sq+dFsan5Y/ahX0d+JZ1V9X9tzp75HKB2kllzSG9d0tUVqshFcpOYJSBVvE0jb6+HhPZadVTXShU5fN5/bl4MFIF2cbZG3Ff2H2wNWl7cmdqYIo5/nOw8aaNaol0jXw+7nPmj6cO8wPn48F+D6r12KTSJNy+7XZ8efbLdkU6gkIi7tl5Dz6J+IRV2zUltpCPCXsj0QXR0CaltaV4+cjLuG/3fdifvr9VkY5IKUvBJ6c/wdzNc3E296zK+3l/1PuY6DURvJAr5Hj7+NusakMg0DWGzr4V/SZPkzyOSym/rgnb6lqY/N9Hzdxa9Qv5rkZhRjqWv/gEzm7d2KpI1/ximASapc89iow49X6T/QYOhqU9n5YvqvSr1+d7kVvdRPyIPXqQ27gludnITohvcXtq1DnwJO2i+q2gymJl74gJi9WbYzRi4+zCktt5cPeoXtjx1FjMHuDOFunbwtHSBE9NCsDOp8eqJdI1tu3PffVdmNvYqiXSTXv0GXiGhKm1793RObjhq8NYcTKtXasc8q7eEJmJaV8dxrpmIXhFmZWQNfC7HqAwCgqm0CYF6alY+fpz2PXT1+16f1Il7+YvP8S6D95AWYGKHTum1sDizYDD1QCQrxvmIkMhTWTOKavBZztb/iYIBD1KqCNmD/DAn3cPgau1esq3JnG0NIabjWqVF10JmvQs/iNC5TZGqoZ7a3M0fjuSpNZ+H5vg3+4JW1luG+IFRytpKabNMTf+ryg1KkNaxVhzzqe3HO9SZhnXfVzM7JyAlt5Olvj5rkFsdVAdke6bBeFc04ypSo58v/bO24ufJv+EJ8KfwM3+NzNh7oG+D+Cr8V+xv5GvnZulm+R9/TrlVywIWgA9MgJRAqrgennoy8wTTx0uF19m3mbU0qksCiiwInYFaw1uFOsq6ytRVsf3M6dsJaMmyKvKw53b78S2pG1KPya9PB3377ofW5O2qrQvIwMjfDXhK7w45EXoczrVUkWisqEeAkFnc8MDj2PcnffC0EjNBUuFAtbVfC8UbapqNZpOqytQ9dXqd15GcbZqFfeVJcVY/+GbyIxTvdpMX98Aw2+5DTwYPnchzDnbcDT1s23vol8dWhuP0oV5kpuciM4gdNwkjLh1oVqPpfbpW155F8ZmPEPILNic78QrE5n/18PjemPeIE/cNtgLL04LwvL7hrK/PXNDIEwlLAATjt6+uP39L+DVR3l/O2snF9z62nsIGT1erX2uP5uBh1ecZW2TylJe28A8/JYc/u86qrxIfR/Ptqgo5j+mspD4tvL151mrq7KQOP73q88w/0mVsPEEHjiAyn53Y5WMz4IqCanU9SQQ9MjW16aMDXRiJaa/HkrCqtNpKKjQ7gpAI6P9lU/9KamqY6skFBARk12GsmpK3jSAv7MFBnjZ4ZaBHgh04RudLpWPd8S28GRThQ+3xyLc2w6DfOxUehy1zT4x0R9f7Lms9r497czwyo0hrKWUJ8FNWnqTJHrTNac1rztVTuzKUFzVed8dSuRa9eBwlmyr7GtFpf6fzet3nc8MT0wMTDDaYzTbNAkJb68Nfw0z/GZgWcwyHEg7wLzHmmNpZIlZvWdhUZ9F8LTyVDv84fF9j6OkVj3hmFpdvz33LZ4d9Gy3qt6qk9Xh4b0Ps0o5VaH36vWjr7NwkGFuw1iF3ZGMI4gpjGFhIdQC5WHpgVCHUNzgcwN6214VBfT19DHNdxo+O/0Zt+ex5coWjX9eBQJ1GTzrFvgNGoqIf9ci7vgRyOqVP8cYN8i4tb02Yvb/ijqffspXNRdnZyL60H5kJ8ShMCMNDfV1TIggXyuqoCFhw9ya38KRVMh3bevXn6C6TL2Ft4baWmz95hMs/vwHlmirCv0mT8flk8eQdkn96q/A4aMRNGI0gjOjcKGVBUp1CWkyP6P3lCetjVel5uvfFrzHaw9qXafW1QNLlzA/Q2Xw7BOG6Y8+y3zDNIGDpQlr+6RNk1BF4Lw3P2R+ded2bmm1WrJRoKOq4fBpM2Fsql5RBn2+X1ofxbpm1OGD7bEIcLHE+CDNvObamvIVZqZj46fvsTAedXzs1n34JhZ9+h0Mza2wJyYXp5ILEZNVhrIaurbWR4CzFau8nNnPjX2uGKbW2Ov3IsojznN5DtX1Muy8lI3bhnTDtFyB1uiSQh1BfeDPTw3Ck5MCWCXTkYQCbDqfyZKe2iPQxRLlNQ3ILuW/aqCM1xelgpInAbWCtmxhbEBBRS1OJhUxf7cxAY74YE7fFj5l2iAyrRjLTqZKGoNOTC+uu4A9z4xj7ZCq8PhEfyQXVjJxU51KR6rCtDQxZO3TPGkqOvL2J2xoxZdPv5knilQMOI/XESTUbn9qDP48loIVJ1OZn2FrUMXsgqFeuH+MH3vfugvkL0YbVamRyHOl5ApqZbVMoKNgB/KiI/FQCtTqKrVqbVn0MkzxmcKEJysjK5TX/+f1IxVtpdd+f/57JBSrX1VBLbIvHnoRdqZ2rLKtOTT2wfSD+OH8D8zzjyoi/e38cangEqtW5MXFAt1OPxcIyFeL2sLGL36AXfQmnDqGK2cj2AVVm+jpwYtSI2OkzTNaoLiaTho8cmyHdy0vKsC+33/GlbOnWlyxkodXeUE+ks5G4NiqZeg7aRrG3n43jEy1391xZssGljwrhYqiQuYxSFWRqkCLFDOffglr3n1V9aoWAG6Bwcznixjka4fVZ9LBi4FN5mcKGV+PQrms5UKbvj7fJiWqWOxMwibcAO++A3B68zrEHD7QpmDn7NsbA2+8iQWSNPfp66rQ86AKOdqolZKqGclvUCGXw8LWDi5+/ux3jUIzpATwvbDugmSf9Vc2XMSeZ8fB0o5vhxChiTE7Qi6XYdePX6sl0jVCPoOvf7sGh+HbavEOdSORJzcJnbeEe+CV6SGwMTdqtXNJCjSeEOoEPOnyV8CklA/2tWcblUFnFFdhx8Uclp6TVlgJmUIBBwsThHlYY2yAE4b5OeCu309xF+omBTuzY2gPCgegdBhlk2tJfJz2zWF8ems/ySb6Uvn9SDKXlRZ67vvj8jC5j4vKJ9HPb+0PLztzllaq7Imuv5ctvr5tACulJ7zszTGytwOOXymEVEhrnD/Y6zo/PZ60Nl4vR76iLX0/bv7xGJwsTdDXwwYTgp1Z0pQqJOVXsM/qpcxSJjSTmEjicj9PG0wMdmkR4EGtCo+M742HxvohOquMtd+ypCso4Gpjxo4jzN0ahhzanXUVa2NrDHcbzjae5FflY2PCRsnjkCi1JGoJvpn4DUIcQhCREwFeUKJqZ0Ovy/Lo5ZLHKaotYltHkOffbVtvw7ODn0VNA99zDbXiUkgIpcsKBLoMVWf1GjCIbQSJdknnziAvOZFdWNF53cbJBc5+/ggcNhK2Ti6I37Qbilp+gQI1xoYslbYjw/ekyNPY/t3nqK2qVKqC7fyurUg+dxo3v/QWHDy1V0FBx3Jul2pt+W0Rc2g/Ri9YxLy7VIHuP/+tj7D752+RePqE0o8joWfyfY9eEztn9HXDu1timBeyVChkYITff/55plZWqKmsAC9ae41s3dyRr4ZY2RYHcxRY/tNxeNubM+uP6WFuLA1UFch/MDM2mgm5LPnX2AQOXt5wCwiCb7+BzGutKdaOTph07yMYe/s9yLlyGbnJV1ilpr6hIezcPJhg5eDx37y3O0KvAW282XkpB5dzpX8G6fp13Zl03DXMB/qGepA38FkItLAxhoVN5wt1CaeOIztRfX+3Kn0zbHeZiuwKqrxsv4K7rkGOVafT2XXodwvDWdIwT67k8e2sEgi6vFDXHE87czww1q/d+5AQQMICL8yNDfDhLe37G1Dl0G2/nlBZIKyqk7E0GUJbYh1Fh++O4ZNkRayPzFBZqCOoCo/E2Bv6uODbfQnYF5fXZhUbTdLuHumLu0b4tggfIZGIh1A3o587E/4aCXVXbXLbESQuN6evJ19DbPp8nft/GuvumFzWXkzl4a9MD2aidkcl/J/tisexKwVtirgUIHHzQA88PyUI9s0i5un9pMknT+85TUOtoBkVGaiqr2KVb9SeaqivOz+j/yb+22pLrTpQaikJXJSUy0uooyRV2jqbdQnruL0uylInr8PHER9zF2MJ8hAUQp2gq0HiAG3tYRIchJoLUdz2ada3LwbdOLvd+ySfO4NNn3/QapVUe5Tm5WL1O69gwTufaDydsz2Ppko1UyubQy2+8cePYMDUGSo/lpJjZz//Gi6fOobTm9a16wnnERyKYXPmoVf44OtutzAxxF0jfPDTQelebw+N631dtRdVgVHiLS9a8zx08QtgogMvLtZaIzG1GGdSi7GBqoG2xWJqqCtenRHSIgG0ObFHDuDkxjUoymxZoZgQcfyav1z49JsweObNLQQ7Ek8pWZO2rgIFK5TmV0Muk8PE3AhW9tqvdm0KWTXxYmVEGgve8O7jgJQoPtezvv00YzHTEed3K+8Z3JxqfVNscJuNYmPVuqUoDHHRHxHwc+IbMEie7AIBT3TnCrMTIZHoRw4TgUZ+umMgXNoJt6CL+2dWnVe7io+0qJfWRaG/p+11wlBnQSXD9TJ+rVtSS42p4uvXRYORW1aDU8lFiM4qRUllPYwM9VhoQT9PWwz0tm2zJH9MgBMzpl3bLEFJFUh0envW9ZVBVKmnac/D/p42TITsqMVb6vuzYMlJ3D+6FysPb96mTJ/nL/dcZt+hjtp9ybNh5ak0lnBFya8TNOSroUlkchlraSSx53zeeVTUV1yXDEsVYhRCMb3XdJgaandiqE46aXtVdefzz2O2/2x8d+47VDeo35bQyG1Bt2mlVeZo5lFoi5PZJ7mORwKx1PZogUBXsZowkZtQV2VthRvf+qDddjUKU9j+/Rcqi3SNULXRtm8/wx0ffNlC7OgMpFSitDWeOkJdI4HDRrGN2mCzEuJYimN9TS2Mzczg5O0L96A+sHf3aPPxlORJ8wVlO09ag+ZiC4ZcX/XlHdYfl0/yOQ/oGxjCMzi0xe3BI8fg2KrlUCikX6zX6hkjxez6Sk3qJNl2MRuHL+fj/ZvDWLhec6hqcMcPX7IW7Y6gqlZqd44/cQSznn4Ztq6a9YLTBHXVDYg7mY34kzkoyKy4rrrMxMIQHgF2CB3jDq8+9lpt0yUrGyke382hyjzyOg8b58FNqAsb1/mLDXU11ciMVT3IppE9ThNVFumaJupe4VxR17yDSCCQSvftLWsH8injVf00IcgJ4zoQH/6JSEdEirQVT4rvfmPTJWiDxDx+/lQECZZUpScVEkdv6u/OxKRPbu2H9+f0xT2jejHfuI5OyO/MDlU51KJplRiJs9cMSf+Pn5MlRvnzEetcrE0wOaRl1SE9r8UjNV+RRBVyS44k4/l1F64LFKD/Jn+M7/YnquTJR54RDyw9w4xWuxLkIzdv6zw8ffBpJvY0FemIGlkNIvMi8ebxNzFz40wWMKBN4ov5XrRRaiy16T7a/1HJY/nb+mN+0HxoQ2i9XKR+EI2uEWQXxEIqBILuiO28W6FnxOdix+epJ1mlV3sc+OtX1FRIm+NQ2ufZ7ZugDSjsQhfHozTNfpOmYeLdD2Hqw09iwuIHmAdaeyJdozXGL3cNhkOzCnxVE0ObzwFDxoznlkwaMHQEzG1adjfYOLuyIBUexFgFo6ENewNKAH169XmsOZ3eQqRb++5rSol0zT+/q956kXvghqa5fDoHy18/gSOrE5CXWt6iBbS2sgFJ5/Ox5bsL2Ph5JEpyNbfArUw4XEtfcmlQEKFPqAN8wqRfd/QZ7Q5HT9WCZHiQn0K2Suq9LvEWAUg179gbvj3qOBahaKKzSiDosbP9N2f2Ie9iSVgYG+Dd2WEd3u/3o//FaUvhYHw+9356ZVcdusKYqmBubIhl9w7FtFDVjO3dbUyx4v6hbbaFPntDIPOuk8pTkwLb9Gi7a7hPq22xmoDCO/46/p/nCoWgkL+DOtBq8FOrzmvlM6xuuuYd2+5QOoAgtyoXj+57lIUJaAtKfOVJZf3VqoZFoYswxHWI2uNQ5eH7o96HsQFfH0dlIHGVBNXuwmDX69vFBILuhKGDAxwefkjyOKZ9+sDhtgXt3odM46lVkwfndmxhpuidjaxe+qJnUxrqOi8Jvi38nS2x5uERCHJpX2RtzlBfe6x+aDicrFpWHFNK59DZt0o+NgMjIwyf2/bnigRJIzUTQRspN7BAhF37v/O0fvrqxovMG7iRXT99jbwU9bqFqLL038/eRwPnz5MmoAXjg3/HYc/vMaipVO54s6+UYvUHEUi9JN32Rh3Kavhbb1T8f8zxdwTDzFr9uZWNsxlGzfWHNqgsVb/KMNJG+STvzmJ4B5ZBAoGq9FihjoSWB8e072XXEW/O6tNhKyr5eEkp4W/Ohkj12zXVxcqUb4c0CVm6kORJfig/3zUI3y4Mh9//wyba8yEkz7tdz4zFIJ+2Q0Pob5RUKgVK+719WNvm1CTgUUBGZ5VYf7ozHulFVWz7ZGe8ZIGWkn91nX1p+/D6sdfV8jX7+cLP+OPSH9AGvIWwxvGoguvbCd8i3Dlc5THMDM3wzYRvEOrYslWoMzDQ6/x2NE2hBz3cGij9YlMg0GUcH3oIZv37q/14fXNzuH30EfQM259nxB07xFIdeVBemI/0S52fyMyrSqwRE3O+nk3qQjYmW54YzVph7czbn+u42ZjinZtCmUjnbNW2/cSQ2XPh6h8o6bhG3Ho7HL3aruKxcXbBDfc/ylKM1aFBzwC7nSajTt9EqcXPF9ZFQS5XIO74YSSelmazQH52J9f/A13n2NpERB/JUvlxDXVy7Pj5IrIT+SZ9KoOJIf/LbRMjg2tJrbOfGqCWWGfjZIbZT4fD2Ew712TqpujmGzuiwEQ7nnptQaEvdP0mEPBE+2qJFnl5ejDKaupZa6o6j1UmgvlCBv/o584mxI1v9Ra1JlB7g65A7bOz+rnhRFIhTiYVIYY876rqYWSgz1Z2KTl2aqgLrEyVE8ZemhbMwkO2Rane5klJqT/cMbDD+/k7W+Hv+4fhnr9OI7+cX0JeWz5zy06ksEkh/bdUItNKcPxKAUb21s0TWmF1Id4+/jbkEnxmyNNtpPtIBNsHozPpbdsb5/LO8RvP5j/DbEtjS/w25Tf8eP5H/BX9F/Ow6wh7U3s82O9BDHMbBm1Bx21jYoPS2v8qD7oqN/W+CV5W3TtxTyAggc3rl5+Rdv8DqLmkmuWHvoUFPH/8EaZBHQsyOYmXufu7+fTr3CoPJ59eTHDkNp6vtIVGnhgb6rMAMQoA2xuby4KvLueWo7pOxhZaaW46xNcO44OcW4SGtYa+vgHmvPAG1rz7aqshCx3Rb/I0FoLRESFjJrA03r2//cD+X1nq9Iyww3kKssyUD46LzS7Docv5SN+4Bjw4t3MLhs6ZxyoQdZH0mCJc2K9eV0dj4MTev2Kw4I1hMDIx6FThmT6jqljGdESA83+tqg4elrjttSE4uCIOKRevrxqU1adDXp8EuSwXkFPXhR709K3g6N0bY2+brtXQDUr9VodsE/Uep0menhygVR9EQfekRwt19IX66JZ+CPe2w3tbY1CuRGkyrdx9dEtfNjFQBt5tftpoGwx2tYa1qSG30u2hvRx08rNAwhEP8YhOxt8tCEegsxW+P5CgdBAHBVy8dVOo0tWGFKqx++mxeHtLNDadV311URXWnsmAjFPlAbH6dLrOCnUkspXUlkhO5fzo1EdYOn0pOpN+jv24CnX9nPq1qLB7etDTuMn/JqyOW42tSVtRVlfW5uOLaopY8umfl/7EE+FPsGAKbRDqEIrjWfzS+LSBs7kzXhz6orYPQyDoFAxsbeGzYjnyv/4GRcuWAUqcf8wGDoT7hx/A2Fc5H9dCNcSa9lBH/JGKV5++XMfzDNFO5XN70MLuzH7ubJOKha0dS+ndu+QHpdueDY1NMHrBXRg0Y47S+yE/PpfeAawdNTcpscP7p5p54YDDOJQbqdbuSyw9GIO+af9ZlEihrrqaJf/2nTgFutjyemiVdB/esoIanNudiqGzOk+UNjM2QLCrFaKz2p4vqepj7d4s+dfCxgQzHuuP9LgiXDqUiaSzZ1FbfgAKect2X4W8GHlJaVj73gFWZTrxnofg5t9+IrcmoOpU+n411KlWcFBk3HZnk7re41IKESaHOOOWgdpJ/hZ0b3ps62tT5g/2woHn/8feWYA3db1h/I01dXcX2lKo4O7uzhiwYXPmwpiwwYQxYRtsY4MxYfw3dAMGw91dS7FC3Uvd0lj/zzmsrFBLck+svb/nuWNN7j25TdLk3Pd83/v2wRuDwhDgUruNgAjkZOXuw9Gtse+13hqLdAQ5Yy82Y0Q/k1XN8e3ZfQBNbaCts6lAklJfHhBKWzfGtvWhz2FdkPdW7zA3Wh1HUlG1bQl2srGgxsnkfTmrexBaedlDImK/olNYoUBJJTv/nXNJ7NKvWEJEp+0JukfF14SETNzMZxvu0BhEQGMp0gU5BNV5X7BDME27VagVGvv3kVbiF/e/iHKF4Q2dBwWYxkXHqGDdXh8nqRO+7/89Dfbg4WkuCC0t4fHWXAT/vQWOkx+FyMGh1j4keMKme3f4fvctFfY0FekIKqXCpP3iNMErNJymqbKABCSQoISmjpWdPUa+9jbGvPleg0KnWCqlgtW0z7/RSqSrhrwujy1agonvLUREjz5w9PgvVVUNAfIlTrhqF4H13uOx1XOETiId4XIG2wX89Bu6p3Dqk5S4fBTlcE+fJ8Qdy4DKwNdT4xkKORMauCbzCXOAheQYZEV/1inS1VVZvPa9OTixcQ0MDUnKbtGxi9bHKQVs64yIvVEHHQMGSdfV15NMzy+Pp2nQrCvqauJqK8UL/ULpll8mx82sEsiUKthJxQj3tNO47fFh7Bn7iBkr+pn4rpGEKZI+yzUll1SCNRdINSL5AF8wqjWupBXiWkYxSiuVdIWYlK238XOEuz33snPSoks8EwkKlRoJuaUYvMS4CaQNQVqDiyoUJhdlfiztGNPggX0p+xDubLhVyjCnMNpyy6J6bEbrGfXe9+etP/HByQ+0HvNQ2iE8u+9Z/DjwR1iKDdduMSx4GJZcWMK5UpIrL7R9Aa1cW2HJ+SUav88iXSKxqOciBDroP+2Zh8cUkYaGwmv+fLrJ09IgT06mFXYkeELaogUEFhYm4ccmtTV8aiKBhBts+/pTzuN0HDUeIrFpfSfrk5D2nelGQkWy78TTxFsi3kptbOEeGALPkBZMPAD9I2PoRlDIK7H5bBLe2noTakb+qQVyASqElrBSs5m75CYnwhRJuJjDbKzyIjmy7hTBJ0w3cUYXJnTwxXcHb9NrTK7VX491Cai36nDnd19p3Q5PvDpP/rkGikoZej82C4ak7ZARWp+vRM029MbWUoz/PdEZC7bGYf05zSujx7X1wYdjIk3Cd52nacK/s+rA2cYCXUNcTDKq2VjRzz6OVnhneATe3aydX0xNSPssaTVujhBBqmeoG930DfHWE+lo0GpIyiqVJifUxeXFMR3vWp7hV6bf6/Iexm0dhwql7ivP/fz6YWDAwDrvu5F/AwtPL9R5bNKa+9X5r/BO53dgKEigxZsd38Q7xwz3mA9DquG8bL0wNWIqevj0wI9XfsTupN2oVNXd8hFgH4ApLadgUvgkiISm4+nJw2NMLHx96cYCIsbkJOqWklnfeMYgrEsPut06dUznMbzCWqL9MONYExgbe1c3uoV27qb3x5JYSFEplDIT6apRCMWwYlQgJpcZvupdE3JSSpiOl5tSYlChzt5SQkNPXlzLzZ5k7pBweDnU7SF4cdc/nDwrz23bBO+wlgjtpP+/hWq8wyLQuvcAxB3ep/ExrvJ8pucQ4WlP25M/mxCNkTHe+OHwbRy/XX81YucgZzzbJwR9teiw4+HRBV6o0zMdA51pyikr/9DORvR3m9o5APHZpVh1IkmnFaAfp3WAp4PxTEubEzYGNMnVFfKeMDUyStl6/aWXpMPQ+Nr5YmGPhZhzeI5GgQ8PQ9pdF3RbUO9q7fvH36cefFxYd2MdhgUNQxt3w7ULjAwZiWPpx7AjcQeMQc3EXCLCkdeIiIdEuLyed536+YmFYgTaB9KEXOKrxxsT8/DoD7/WUbh6cA+78VpFwlgMfu5lmjybGa+93YKTlzdGv/6uzgmMPNphbcH+0kuioQ2FRmNZNJ44awxK8th1O1R71RkaIgKdTy7Q6Tqq+vjp3equri/Ju4tja7n7Iu/76XsERLVhnijdEH1nPIXM+BvIz0jTaH/vSu3D+hqiQ+B/gm2PUFe6peaX40JKAa5nlqBcrrzvM9jO3wkBLqaRjs3T9OGFOj1DzD6Jp92BGzlMhI2x7XxgTEgLJxHbvtpzS2O/POL7t2RSGxrawWMYyGqbo7WEpteaIm52UuqvZ2pUocqkx9MUUg33Ze8v8d7x91Ci0HwVOsYtBkv7LoWTZd1/q6cyT+F6/nUmz8vqa6sNItQlFSXhUu4lxBfE08q6IPsgJBYbvrVnfOj4WreRNNo+fn3oxsPDY1jCOnfHwVU/QlbKvVLHp2UruPgaz3+XpHROmPcx9v74nVYVNQHRbTH0+ddoyAKPYWjppZsXXX04SdSwUmtnxt8QLn51t1Uam6oqUx9QM+aPbEUX0384dEerIg7i7/3h6Mh6F/Au7dlOW1e5Ul5UiGtHDqLN4OHQJ2p1FS6lFeJKaiES75ahovMTyDp/HLZ3b8Nbltnge9pJUQgvWSYyLf/zfdQV4iFeVxCEn7M13Ubz9nM8RoQX6gzAi/1a4NDNHM5VdbN6BNLSaWPzbO8Q9Gvpjq/33sLea9lQ1vOLudpaYEonfzzXpwVdieAxLO39nbCfgUBMcLKWoEKugoxROEo7f0eYIq5WbJNo3az03+pcH/0D+tPKLJK6ejD1INRV9b92jlJHPBn1JB5v9TiEgvqrKrbe2crs/A6mHERRZREVq/TBodRD+OXqL5xTcCVCicahGQ15B/by7cVpDB4eHraILSyoL9vRNas4j9V1/BQYGyLWDX9pDlp274XTmzYg83b91XVEVOwwchwi+www6DnyAGEexPdajBIZt8r0amK8bYFb7J5Z0vpoitg4WEBeweY5I1g7GKdykAhtcwa3pEUc8/+Ow7XMhpNgg91s8N6IVo22WV47vJ/ZOV49tE9vQp1SpaYVhatPJiMl/6E2a1Eo4BEKUZUSLcoS0LHgHJyURXWO07nkMrYwEOrIdSqxvOLhMUV4oc4AkEqyp3oFY8XhBJ3HCPeww8v9w2BKE40fHmuPnGIZTtzJw9X0IuSVySEUCBDkao0oX0d0DXapN+2UR/9M7ODHTKgjycgk/GHdWc1NVhtiYns/mCKk3ZAlJBnVmHjaeGJJ3yVILUmlabZxd+NoNZlCpYC91B4tnVuik2cnDAocBKmo8Unr5dzLzM5NWaWknoAk/IIlpfJSfHjyQ+xM2qnxMSKB6H6bsAAC+Nv7o4tXFzwS/ghN7uXibScWiPFx9495nzkeHhOkw8ixuH3mZIOiVmNEDxiCgOg2JheScDclCek3r9FwAHlFBU0xdfULoEmxXi0MF3LEU9tHmJjQ/3YymclTM6Nfa9y54YXCLO7tgGKJBVp27w1TxM3fDgVZ7Pzz3ALYVjbqYo204+WeOJeUj91xWYhNL6JBa6TQz9PekgbvDYjwQPcWLo3aYBTfzUFpATvfNvKZoZTL6WIGS27nlODldZcQl9GwOKkSiHHTNgx3bELQteA02hTdm3sKRWK4+gdQDz2SyCzem4I/z2vWLlsXfs5WmDOY/yzkMV14oc5AvDm4JVLyyrHzapZOQQ4/z+hgkqIXSSwd09aHbjy1kSlUdLXsRmYJDU8glYUkRZiEgujDp6QmA1t5IMzDFreySzmNY2Mhop4Y5Pz/upAGhYpbaShJuyUVmaYIEY2IsEJEJBYY0oOtIfzs/PBszLOcxiChB2kluk+I6uJO4R2mQl2xvBhP7XlK6xAPItIRkfaj7h/By8YLtha2D1TDEbHut2vae7+Q6sQPu3+ICJcIrY/l4eHRP0KhCKPnzMP6BW+hIFN7T9HAmHboO+MZmCKu/oF046mH8nwg8xJw9zagkgNWToBXNOAWAYj0Oz+b1SOIpkvKFNy6FCJ97NE7zA1OI8Zh30/LOJ9X674DYWVnnNC6xgiIcsGtM9mcxxEpZbAUK+HpaRqXwB0CnenGhbzUFLBErVLSz0O3gCBmY5KCjsd+Pq2VJY9SIMJR524IGDAGc/r4w9bZ+YFk6o9G2yM5rwxnkwp06hT6aVpH2PCJrTwmjGl8SjUDREIBvpvSDl/svomVRxOg0rAPllSlfTUppt6EHx7TJCG3FD8dS8TfF9NRJq9t6C8VCzE82gtP9ghGKz0l+ZL33OKJMRj3/Yl625M14a1hEdRrkTC7Twss3R/P+ZyEJGHFBPGw8aB+YftSNE+faoiXD75MWzuJCDQ0aCjdNKlcM0XkKjlzz736Ek915c0jb+qctEuq+5ZfXo4v+3xZ6743Or5B26K/ufiNxm2wpJ2YhHL09++v0/nw8PAYBuLP9ugHn2H38qVIuHBWs4MEArQdPAK9H5/1wIUjjxmQcAg4+T1wey9QlyWEjRvQ9nGgy2zAVj/2FcSM/vWB4Vi4Q3fPVwuRkM6nSLUVqeq8ceIw0q5d1Xk8Oxc39Jw8HaZKSFt3HLOLR0WJ9lYUjgW34J15Ag7FCbCS3UvzTOgOiL29YN2mLRzGj4NNt25mG+CkVMhNeszCcjlmrjqrs2/27xdy0NLfHY+5P/hZS4ofVs/qjLc2XcHflzQPgyOhEN9NaYsW7satquThaQzTK9FqwhCR4q2hLbHpuW60nLkhrYK0un4+IRprnurMi3RmBDFHJQaxQ5YexZrTKXWKdIRKpRqbLqRj1HfH8PmuG1BoGMyhLdG+jlg4lpjP6nb8ox398HiXgAf8FgdE6F4Nt2BkK8T4maY/XTUvtXuJqZhGfNhOZJygwQ6D/xyMvcl7YY5Yii1piyhLbCTskrM2x2/G8fTjnMbYk7wHe5LqToGcETkDG0ZsQG/f3g36+FmKLDG2xVhsHr2ZF+l4eMwEawdHjJ07H8NemgP3oJD6dxQIaBXdpPmL0G/mM7xIZ05UFAKbngZWjwbid9ct0hHKcoFjXwHLOgGxf+rtdJ7sGURbYHWBXD98NiEKLT3vLfQSgWn4i3Pg4O6h03gk4XPUa29Dam24pE9tEYmF6Dq2gb/NOrAuy0L7C4vR7vJSeOacvS/SVaPMyETxjh1IfeJJJE2YCNlNhmZ/BkQfCa0WluzGXLA1Drkl3BZmF+24jrSC2q3PRKxb+mhbrHi8Pe1WaghXWyneGBSGbS/24EU6HrNAUFVl+Nib4uJiODg4oKioCPb2pllibQgyiypoue61jGLq/0WqrFq426KNnyP1JuAxP5HutQ2XsEWLVZ1q+oa7Yfnj7SEV6yd04+9L6Zi3+SpKKpUai8rP9g7GG4PCa60wypVqvLs5Fhu18IUgicUfjm5NffPMgT+u/0FDGPTFxLCJmNdlXoOCjykybus4mp7KitVDV6Ote1vO45CgjKF/DUVGmfZ/ew/TwrEFFdkaIqM0A8czjtPqvdzyXPo34mvrSz0JSWiEvgIyjAH/fd184F/r/8hNSUJm/A3aUka8miysreEeEASflq1h72aa1g08DVB2F/htJJCjQ8V1v3lArzl6mzd+uusGfjqaoHHgnIOVBJ+Oi8LQqNpG+iV5d7H1y4XIuqP597S9mwdGvvoWPENCYQ7s+OEKEi/fbXQ/t5wLaHVjNURahEEJJBJ4fvQhHMeMgTlRXlyEH56aymw84mf54qoN1BqAKyTRtd+Xh5iE7E7vGoAPRkc2uM/l1EKcScxHXEYRimVKem1NLHdIkUCvMDfqEdlU4L+zmz68UMfDwwiy2rPiiO6BIePa+eCrR/TnaZZRWIFFO29g19XMBn3mOgU54+2hLWkISkPsu5ZNJ5i3c+r3wCMaH0mqInH0pNXDnPjmwjdYGbtSb+NPCp9ExTpz4uNTH2P9zfVMxrISW+HwpMP0X64cTTuK2ftngxW/DfkN7TzaMRvPnOEngs0H/rXmaZKolMAvg4H0c7qPMWY50GYy9MXZpHx8uvMGzicXNNjqSixTyPyM+EPXh1qtwrltm3Fu2yZUlBQ3KMYQQ/4ej06jicHmgkKuwo7vryDtRv3PlcvdWERd/RFC6NCtIhTC58vFsB86FObEr68+i/wMNj7C/pExmPjeQiZjfbLjOn7kcG1UEzupGGfnDYClRD9FDeYG/53d9OE96nh4GHA+OZ96D3KBtMIOae2JQa099fKaEJ+5bye3RU5JBPZey0ZsWhGNRldXVcHdzhJRPg7oHe5GE301YUArD7qdvJOHI/G51CiWlLaTarwAF2tE+ThiWJSn2Ql0NVtgw53DsfDUQhRUam9U2xhE8CJBCv38+8FcIJWArIS64cHDmYh0hLPZGvpKaTpe1lleqOPh4eFpChz/mptIR9g5FwjqBTj46C0B9K/nuuF6ZjGO3MqlCaB3S+/Np/ydbRDt60ADwkjrXmOQKqhOoyeg3bDRuH32JNJvxCEniST/ltMUTxdff3iHtkRY1x6wtPkvOMlckFiIMOLFGJzbnoQLu5JpVeID98tLEHHzd91EOoJajcz358OqbVtIPPUzH9cHUf0H4/D/fmY2FitOJTzYbswF0hVEKuXaB3AL3+DhMRd4oY6HhwGf7bqpcdtCQ3y++6behLpqiCg3tXMA0JnNeF1DXOjWFBkcOBidPTtj462N+Cv+L6SXap8K2BBEBOzp2xMSoXmYkRPhkrR2Hkk7wmkc4gE4o/UMzudDgh1IcuzpjNNgyY38G0zH4+Hh4eExArIi4OjX3MepLLrnWze8dtgQSyK87OnGArFEgpbdetGtqSESCdF5VDDCOnngysE03DqdBbnsnid0SMIWWCjq7/TQBHVJCXI+/xw+X30Fc4FUR577ZzPKCvI5jUOE3NBO3Tifj6q0DOU3buJGRhFYEpdRzAt1PM2GptOozcNjJG5ll1A/BBaQNlJSocZjOjhaOuKp6Kewa/wu7J2wF8v6L6N+ZCzIqcjBvmQ2CbOG4v0u78POgltS1ottX0SA/X8hJdpAbFUPpx7Gc/ueQ5c/umDitom4lq9b0mt9FMvrbxfi4eHh4TETLq8HFGXsxqrkJgDxsMXJ0wa9J4fjya96YfL8zhg8xQ/eeeeZjF28Zy8U2dkwF6TWNhj41POcxhAIhRjy3CsQiXWr41GXl6Ng3TokjhuPW506IX76TMgZZ+UV6Zgcy8NjjvBCHQ8PR0ibAkuOxrMdj4cdnjaeCHYIRlopGx8Qws7EnTAnPGw8sKTPEppuqgujQ0ZjWqtpOh2bWpKKJ/Y8gRcOvIBj6ccgV8uhDyQi86hw5OHh4eFpgDv72T098hIgja3NAg8bBEIBnL1s4JpzGVAwEnKUSpTsrjsF3lQJad+Zeg7qgkAgxKBnXoJnizCdji87eRIJI0Yia8EHkF27RluIxep7VY4ssRDz0gVP84F/t/PwMCjDZslVxuPxsCUuL86kxzMEnbw6YeWglfCx1dyvRywQ4+nop/FR949qJQlrwsWci5i0bRL1j9M3RIzl4eHh4TFzMi+b9ng8TKm4epXpeLI4tuMZgs5jH8HAp1+ARKr5YqqlnT1GvvYWIvsM0Okx81evRsqsJ6DIyHjgdkmVCp4kcZkhLdzNz1eRxzAcOnSIXl8UFhY2uF9gYCCWLFnC7HH79OmDV155BfqAF+p4DIIiOwcVsbGoiL0KZQF7Y35jQgx/WZLHeDwetpCqLpbklOegUmV+r3kb9zbYNGoTnoh8Ag5Sh3r3E0CA7j7d8fuw32nLqy4iXUJRAmbvm40SRQkMQZRrlEEeh8f4LFu2jE7aLC0t0blzZ5w5c8bYp8TDYzCq1FUozC5HdmIxclNLaKJmk6Is17TH42GKIoXt/EzOeDxDEd1/CKYv/g4tu/dusI2VJv/2H4wZi5fp7EtXtHUrsj9ZRHxJ6ry/ZX4KWEGmj1G+9c83eZoOWVlZePHFFxEcHAypVAo/Pz+MHDkS+/fXXyXdrVs3ZGZmwsHh3ntk1apVcHR0rLXf2bNn8fTTT8Mc4MMkePQGKX0uWLsWJYcOQZX74IqK2NsL9gMHwvHRRyENCjLrV0Es1F54aAiS8sVjuqj0UMpPxzTDtHlriTVeaf8KnmvzHE6kn8DVvKtIKU6BqkoFJ6kTIlwi0MWrC3ztfDk9N+8dew+lHM2hNYX47/Xx62OQx+L5D5W6inp95pTIaOBNpyBnvX8Wrl+/Hq+99hqWL19ORTqywjp48GDcvHkT7u7u/MvD02TFuaTYu4g7loGM+EIo/jXhr9lCGN7ZExHdvWBpY+Y2AEIxoFYyHM8Mv6ibEVUqtvOzKj3M9wyFg7snhr80B2WFTyL5ykVkJ9xGaX4eVbvs3dzhEdwCgTHtOCX/KrKykPXRxw3u0y/1Ag75tQMLeoa60fkBT9OemyUlJaF79+5UZPviiy8QFRUFhUKB3bt34/nnn8eNG7UD38j9FhYW8NQgqdnNzQ3mAi/U8TBHVVSE7E8+QdHfW+vdR5mRifzfViP/f7/Dedo0uL3yMoSW5vnhG+BiA4DdKmsgHY/HVHGxYptway22hpXYCuYMSXHt69+XbqzZnrgdV+5egaGYGDbR7F8Pc2PX1Ux8sO0aMotk92/zcrDE/JGtMCTSS2+P+9VXX+Gpp57CzJkz6c9EsNu+fTt++eUXvPXWW3p7XB4eY5GfUYb9v11DTnJJvSJeXnopTmy6jfO7ktB9QgtEdPOG2eIcDOQwDBtyDmE3Fg9zxC5s52diJ2eYOzaOTmjVqx/dWJO7ZClNyG2I9jk34VecjVR7D86P92QP8y7sMDeMNTebPXs27b45c+YMbGz+uyZu3bo1Zs2aRf+f3P/9999j586dtMpuzpw5tAW1b9++KCgowKVLl+7P7ao7eebPn48FCxbQLgrSqlrdrkpaZefOnYstW7agqKgILVq0wKeffooRI0YgLy8PL7zwAo4cOULHDQkJwTvvvIPJkyfDEPCtrzxMkScnI3HsuAZFugdQq5G/ahWSJk+BMs88006jGZdhsx7PlCEtn9fzruN89nn6rzm0gJIqMZa0dG6pUztoc2HdjXUGeyw/Oz88G/OswR6P595E8LnfLzwwESRkFcno7eR+fSCXy3H+/HkMGPCfJ49QKKQ/nzx5kn9peJociZdzsWHR2XpFuoepLFfiwOob2L/qGtTqutvaTB7vtqY9ngkjK1MgK7EIGbcLUZBVRkVcU8eydSvG47VmOl5TgtgYFe9sPAxNiCq8enEDhFXc4l9Ht/FGrzDzqYQyd4w1N8vPz8euXbto5ZxNDZGumpqtrER0Gzt2LGJjY+8LeDXbYEmXhL29PW2HJdsbb7xRazy1Wo2hQ4fi+PHj+P3333Ht2jUq0olE96qnZTIZ2rdvTxdxr169SltmH3/8cYPZpPAVdTzMUObnI3nmTFotpy2V168j5cmnELhuLYRSqVm9Kv0jPGAlEaFCwb1EnpQTD43S3yqFKVCuKKdVUpvjN1NxTlmlfCBwgAhXY0PHYkTwCNpaaWqEO4XDxdIFeTI2wnI3b918QfQNaTmtUFZALBTDUmycate7FXcRezfWII9lI7HBF72/4KvpDNxSQVZr67r8I7cR+ZrcP7CVJ/NWi7t370KlUsHD48FVfvJzXW0VPDzmTPqtAuxaeRVqpfZiy41TWRBbiNB7SjjMjtbjgEt/sBnLNQzwikZTprSgEnFH03HrbDaKcyseuE8sFcEnzBGRPX0QEOlC26RNDZsePYAvFrMbr3t3mCIqpQJKuRxiCwuIxMZpTy87fgJVlZotrkcUJGNm3A78HDlCp8cK97DDh6MjdTqWx7zmZrdv30ZVVRVatmzZ6L5Tpky5XzVHSEhIuP//pA2WeNWRQoiG2mH37dtHRbfr168jLOxe4jHxxavGx8fnAYGP+OaRFtwNGzagU6dO0De8UMfDjKwPPtRJpKsp1pEyao+5b5rVq+JgJcG4dj744zR3w9SBER7wcWy6bXfH0o9hwYkFyC7PrvN+ItoRnzOyrbiyAgu6LkBP354wNqrSMlRev4bKhERUKRSYXRCJX+SHkOECVHGohiMi2Piw8TAV0krSsPHWRpzJPINbBbcgV8vp7R7WHoh0jcTw4OHo69eXnrchuJbHsGWpAdys3LCk7xK0duFXzw0J8T15eLX24QkhuZ/s1zWEbUsTD09zQS5TYv+q6zqJdNVcPZKOgCgXBEa5wqxo0R9wCQXy4rmP1ck8zMd1gVTLXdqfitNbE6BS1F35pKxUITk2j26ewQ7oPz0Cjh7GX0wtKyyg/mvFuTmoQhXKY1rD6toNWHFcPJe2bAnrdqZTQZl+4xquHtqL9JvXUZiZgaoqNQQCIZy8feATHoHIvoPgHda4uMEKWVycVvtPuH0IoioVfm49AiotvB7b+Tvip+kd6bUWT9OfmxGRTlM6dOjA+fFIi6yvr+99ke5hyILuJ598QoW59PR02o1RWVkJa2vDfPbxQh0PE8pOnUbJ7t2cx8n/7Tc4TXoEFoGBMCfeGBSO3XHZnBJgbaVivDeSbdm+KfFT7E9YemGpVmmos/fPxvNtnjdaO2L5hQvIX/UbSg4cAJT/Vf6RTNCvyfvVFjgQI8DODkKUWGsv2D3e6nG4Whn/wqdUXorF5xZj8+3NUNfRnkCE1eyUbOxP2Q8fWx/M7zofXb276v286hN0WSESiGjl5pyOcxpMruXRD8ScmOV+2uDq6kpbG7KzH3yPkZ81MSPm4TEXLu5JQUk+97+ho+tvIaC1aVZS1QtZSBu5BFhFKnmquLW8dniwtaqpQIS5XT/GIilW8y6BrIQirF94BsOejYZfK8P7uFWp1bhx/DAu7v4HmfE3a+/QKhB2FZUIuFsE3/wSnXye3F9/HaZAfkY69qz4Buk3agtjRKzLT0+lW+yBPfBrHY1Bz7wERw/9f4cps7O0PmbsnaOIunsH37SZiHgnvwb3tZOKMbtvCzzdK5gP2WtGc7PQ0FBaBadJZ4NNHa2x2mJl1XBxDAmzWLp0KW2jJaEW5DGJtx0R7AwB71HHw4SCPxi1FqjVKFhrOE8qVjjZWOCrR2IgEQl0nksuHBvZZKvpiM+YNiJdTZZdWoY/rjN6f2mIuqwMme/PR/KUqSjZs+cBka4mzqXAhONV+PpHFbpe185/o4VjC7zQ5gUYm4SiBIzfOh5/xf9Vp0j3MOml6Xh679M6v57GhrQtd/fpTp/7XeN34eMeH/MinZHQNL1NHylvpC2C+I4QE+KaXiXk565d9S9C8/AYApVSTdNdWVB8V4bkODP0Eg7sAfSq7U2kMVZOwLiVTTbxde8vcVqJdNUo5Wrs+OEKspOKYUgKszKx/oO3sOO7L+sW6f6lxEqKq37uOB7mi2JLC60ew/GRR2DbsweMza1Tx/C/uS/VKdLVRWrcFaye8wJunz0FU6VFUQa+ObwUXx3+FqPuHEVEXhLsK8tgrapEgIs1hkd5YdG4KJx+tz+e6xPCi3TNbG7m7OyMwYMHY9myZSgrK6t1Pwl+0GaeRyriGiI6OhppaWm4detWnfcT77rRo0fjscceQ0xMDG2LrW9ffcALdTycqZLLUXr4MLNnsmTvXpgjxOR02ZR21K9OG8RVKrznkINhnk1zEphYlEirtbjw1bmvkFD4n/eAvlOLk6dNR+GGDRofY18BvLpFjbEnNBPrAuwD8MOAH2Ah0m7yyLq0nIhuT+x+AhllGTpVSH5z4RvoEy8btn6NEqEEeyfsxfIBy/FMzDPwtOErp4xJpyBnmiBW3/IGuZ3cT/bTB6+99hpWrlyJ3377jfqTPPfcc3RiWNPzhIfHnMm6U4SKYnYr/wkX2SXcG5R+84Aer2p9WAWscSvsTShsG67+MVeun8jEHQ6vqVKhpmEjSgYezZpAWlz/ePc12gaqKUSwO9nCB3dtNVsItx3QH57vzYMxqNn2d+f8afyz9HMo5dp16igqZdj29adIunQe+kTsxW1+Rnzrnov9G18d/Q7rd87HzpytODynL5ZNbYfJnfxhbcE3/TXXuRkR6YjA1qlTJ/z111+Ij4+nc7RvvvlGq4VUku5aWlpKF2CJL3F5eXmtfXr37o1evXph/Pjx2Lt3LxITE2mSLAm0qK7wI7efOHGCnsMzzzxTqxNDn/B/BTyckcXHU7GOFYqMDJomJHZygrkxqLUndr7cE2/+dYX27jdGi8I0vHZhPYKKM3H796/gMnMmXF98AUIL4wg4+uDLc19yTnMlXmlfnPuCilv6bqdIe+FFrb03qpl8WE3bYQ9H178GMihgEOZ1mQcnS8O8vxUqBfYk76Ftq3F345BZlkl9XEjLLbmvSF6k89hErOvi1QWdvPRjqNrKhW0rOKlilIh4nxNTgZgQzx/ZiiaICR5qTKueIJL7WZsVVzNp0iTk5ubi/fffR1ZWFtq0aUMnZw8HTPDwmCvZyWyrnTRNjDVJBiwAAnsC214GilIb3f16kRsOZIdAdn0HLP85in4znkZEz75oKijlKpz46zbncQqyyhF7MB1tB/lDn5QW5OOvT96HrFT796BKJMT5QE90j0+DbaWi7p0kErg++wxcn3kGArFhLo8rSopx9dA+JF+5iOzEO5CVFFPfOXs3d5Tk36VzUl1Qq5TY+f3XmL54Gazt9WPrYcU4EdcykvcINhWMPTcjVWsXLlzAwoUL8frrr9PEVjc3N9oF8cMPml8HkuTXZ599ls718vLyMH/+fJoU+zBEDCSBEZMnT6aLtS1atKDJr4R58+bRkApS5Ud86Ujq65gxY1BUpPu1kzYIqrRx7WNEcXExTeIgvySJzeUxb4r37kX6iy8xHTPwrz+ZfwkYmtPXM/DrD5twRW2LTBsXVAnuiTceZfmIyE/CoJSzaJMbX2vFQhoRAf+VP0LsanzvMhbhBMM3D9eopbIxBBBg+9jt8LPX38p23qpVyPn0M05jlEuB158UIc9e8MC5d/PphsciHkMPH8O1U+xK3IXPzn5G01P1BakO3DpmK4T/vr9ZUVRZRMMkPjr1EVJLGr+o0gRD+x2Sr9eUkhTEF8SjXFkOS5ElQp1CEWgfSD04zAFDfF/vuppJE8RqmheT1VoyERwS2bRTsE0Jfm7W9Diy7hZiD6UxG8/CSoynvu4Fs0alQMnxX5G/80u4ivJgI74n3KirgLxKa6SWO+JygRfy5bXNwlv37o9Bz74EYRNog71+IgMHVrNJuLZ3tcRjH3bVq3/h5s8+QMKFs5zGcCiTodvt9Afm3QIrK9gPHwaXGTMgbdEChkptPbVpPc5t3QSlQn9eV1H9BlHPOtakFZTj6u0s3FqwEKLKCviV5CCwOAuSKt0rKwPW/AHrdu1gKFQq4u9XhsLscqhVakhtJHDzs4ONoxTmgr6/s/m5mfHhK+p4NIJUzJHKucpb8VBXlENkYwNpePi9LzV9aL0Gl4/ZUqVUwvOTt/Dy2XuTCpnIgm5SlRxWKnmj6bcpM2chYO1aiGy5G2Uak0Oph5iIdARSBXYg9QCmt54OfaAuL8fdZd9zHse6Evg0oSNuP9UfIqGIClmtnFvB0dIRhkKhVtB03a13tur9sZKLk2maby9f7hdv5L2yM3En1t9cj4s5F8G67XVC2AQYAhKEsvbGWmyO34w8WW3vHyepE0a3GI0pLafAy5YXoogYN7CVJ61CJubExPeEtFToa7WWh6cpIa9QIjelBIU55TS909LWAm7+dnBws2I/PzP82j5zivML8MfvR1BeFEoamyAVKiEUqCFXi6GqanjBKe7wfmoqPOS5V2DuJFxit4BH/AvvppdSoUMfpF27ylmkIxTZWKLi6VkIcvWAwNISlmFhNN1VaMnea6s+SvPzsOmzD5CbpH87l+vHDqPn1JmwsuX+uhTLFFhzOoVuKfn/thBGjbt/v4VKgZ7plzHmzhHqQ6d9wq5hRLqc5GJcOZiGO+dzaOv2wzh5WqN1Tx9EdPeChWXzlkn4uZnxad7vQJ5GqUxIRP7q31C8dRsVMh5GaG8Pm27dmD+TEg93s3517q5YgfJ/RTqCpUpON02pjI9HzhdfwOuD2iW65gSpiDLl8WpStH071CVs2nqcDl/B5I++hcjWFsbgnaPvYFfSPX8FQ7AjcQdnoS6pKAnzjs/D5dzL0AdPRT9lkITdP2/9Sdu9SxWl9e5TUFmAVXGrqCD5cruXqWBnLhV2+oKIcl1DXIx9Gjw8ZkPqjXxcOZCG5Ni7depnpMrJwb12VRgXzKnapL4q510/LEF50X+G5JVq7S6F4g7tQ1Cb9gjv2hPmDBF3WY+nL6Hu8r6dzMa6U5KP9q/NgTEgra4bPnoXBRnsqlwbgvjb3T57ElF9B3Ea5+CNHLy9KRZZxfWnfMpFEuz374CDfu0w+s5RTL+2E1J13UFsDyAQwHPeu9A3CrkKpzbfwRVSYVzVcCv3sY3xuHwgFf0ebwnfloZPNTYl+LmZceHDJHjqpEqlwt3lK5A4ejQK162vU6QjqIuLUfKv4SIrxO7uELu5me0rQzz2yHPHlcL161ERexXmDPFDY0lWmfZx8JpSduw4s7HI30vFRbYVYZqy4eYGg4p0BOJ9x4VLOZcwZfsUvYl0MW4xeCrqKej7AvDjUx/jg5MfNCjS1aRCWYFPz3xKBUpWlac8PDxNG1mZAnt+jsPWJZeQdKVuka66yin1WuNeudrgFqAfIcZQ3Dh+mCZjcuXAryugZOjNbGhI5WVZITfv4Icpya9fxOFK0uULzMZKuxFHAxeMwb6ffzCYSFdN9h1uPoS/Hk/ErN/ONijS1UQtEGJzi954p/szKBM3Luy7PDEL1h06QJ9Uliuw5auLtJJO046tkjwZti69hGuMUrN5eHSBF+p46mzbTH/lVeQuWYIqRT2mq3rEtk8fs35VCtatBxg9bwV//AFzhrSrmvJ4NZFdY1utp2sgBRcKZAX46vxXBn9c4sOmK6nFqZi9bzZKFPoxKY9yjcKy/ssgFuq3gHz55eW0Qk4XSIsySTbm4eHhaQgirvz1+XnEnzVc6lxNAqPM2zv34s5tTMYhFXk3Tx6FuaKXmZSepmfFuTk6BUjUBwloyE1OhKFJvHgOt4zwninI0l1o+udKBvWP1aXj/ZpLEBZ2mt7g28Lx0Ulwe/116FuU3rk8FjlJ2gfrkN/70B836IIID48x4IU6nlpkLVyIkr17jfbMOE2ZDHODfPGXHj6MtFdeRd7PPzMbt3jPHp1Tn0wBD2sPkx6vJsq8PMbjsa1k0ITNtzejTFFm8Mcl1WC6VISRKrT3TrynF5FOJBBhVuQsrBqyCg5S/aSeVROXF4cfr/zIaYzV11bjXNY5ZufEw8PTtFAp1Nj27WVqfm4MrO0tENzW/LodSPXUlf27sPb9Oci8fZPZuLdOHYO5IhQK6OvJElsn/bRFlxUVMB+z3ECJjTU5v+NvGAOSAKsLxC923hZuXT0X3cPwT1BteyShgwO8P/8MXgsW6N32g7Swpt/6r9VdF7Hu4O83aCUzD4+h4T3qeB6g9NhxFK5dZ7RnxWHcOFi2bAlzgrSnZr7zDvWVY01VeTnkCQkGS6JiTSuXVtS/jOV4+kIgFDJdENZn+ll9bE/YDmPgKHXUKfX1YOpBnM8+z/Rc3KzcMDhwMCaFT0KgQyAMwdfnvoaySrfJcM1qUVINuWb4GmbnxcPD03Q4808i8tI1a6vXB93Gt4BIZF7r+9eOHsTB31ZCVqJ9NU1jZN1hP+czJKSNOTmW3QIlCTDRB/pI2DX0/Ky8uAjJsZdgDKztdQsy+/7gHRSWcxenVkcMwaDkM5BWqWAREgzHsePgOH4cRI76D1iTy5T0c5Mr5cVyXNyTgq5jQ5icFw+PpvBCHc8D5CxebLRnROLnB4+334I5UbB2LbIWfgIouV2kN4Q8JdVshbo+fn2osT6rltXefr2hLyT+fqi8dp3heP4wJMTv7E7hHRiDCOcInY7TtVW0Lrp6dcXCHgvhZm3Yio+EogSczjrNZKzYu7G0Oq+1S2sm4/Hw8DQNyooqcWmf7hYDXAlp54bwzp4wF9QqFQ2NuH70oN4eg7S/KmQySAyYGMqSoGhXZkIdqaZz1VOQhIM7+/edo4c3DEk2EXWNlJjsHqS9uFQhV+GvC2y89EotrBG3cAUeHRht8IC1W6ezoJCpmIx1/UQGOo0MgkhsXosVPOYN/27juU/5xYuovHHDKM+IxMcH/r/8DJGd+RgVF/61CVkffKhXkY6iZvMlYwwC7APQxasLk7E6e3ZGsEMw9IVV60jG4xlWbEktSYWqyjjvlS7e2r/GcpUcZ7LOMDuHa/nXDC7SEY6lHTPp8Xh4eMyf68czoFYZ50Lfv7UzBszUXzW7PtC3SFeN2oytScI6ecLCik29RuuePrSdVh9Y2trC0cOL2XgSSys4e/vAkBRkpsNYBES10fqYc8n5KJGxu7Y5Xi41uEhHSL7KrmK0okSBnGT9eCnz8NQHL9Tx3KfsqHEuEO2HDUPgnxth4ednNq+GPDkZWR9/bJDHErm4wJx5vcPrnI38yfFvdHwD+sR+6BBmY0l8fWEZHQ1DolTrWTCuBwuhBca2GKv1cbcKbjE956LKIqSXGn4yTARCpuPlsR2Ph4fH/EmJM7znqVAsQOdRwRg+OxpiCfv2Q31x7cgBg4h0EqklLMy0mo4gkYrQZTT3xU97V0vE9Nfv/D2saw92Y3XuTq1ODIlKZZxFVI/gUHiGhGp9XGw6Ww8/1uNpSk4KW2EtN4V9Cz0PT0Pwra88ekuptOrYEUJLS5SdPFmr6kwglcK2b184T50C644dze5VyPp4IaoqKvT/QCKRSXj2qUrLILt6FZW3bkJdVgaBlRWkoaGwioyEyKFho/5w53C80OYFLLmwROfHnx0zGy2d9fs8WHftCosWIZDf5t4+6jRlisEngvoOTKiPaa2nwcnSSevj7lawT9EiY/rYGnal/G45298jtyKX6Xg8PDzmDUktzE1j600X1tkDeellyKtjXEsbCW1zjezjA0d3a5gTpBWVeNIZArfAYIN/z9eFIieHzs/kiYmoUijonMwyIgLSVq0gtGg4MCKytw+SYu/qLAQLRQL0nx5BRT99EjNwKM5t26xzMMJ9BAK0HTIChoZUBRqDHpOn6XRcbkkl0/NgPZ423nIsKStkOx6P9vTp0wdt2rTBkiW6X1OaE7xQx6O31EuhRAz/lT9CLZej8uZNKLOz6ZckaXMlnmsCsXm+/eRJSSg7ZpjqQ+v27SG0soKxkN26hfyff0Hxrl2oqqzji1Yshl3//nCZNRNWMTH1jvNE1BMolhfjl6u/aH0O01tNx1PRT0HfkOQpkkCV/Pg0Tl4i0vBwOD/+GAwNEaiIWEcqywxFqFMoFVF1QZfwiUbHNEKROOvEMn0noPHc48iRI/jiiy9w/vx5ZGZmYvPmzRgzZgz/9PCYHAq5CspKthU5zl42GDizNU0yvJtWCnm5klbQOXnawMHNeHMOrlw/dgiyUsO0pwXGtIUxKTl4EPm/rUb5qVN13k+SNR3HjIbzzJmQeHrW+30z5OkobP/+MtJvapeMSd4vg5+IhHeo9gt12mLv6o4u4yfhxIY/OI0TM2AoPIIN7/nsHmj4EAIibgZG6/YeFTKeh7AeT1PIozINieOnZwZhxowZ+O2332rdHq+H0EZTx/hLQTymA+s0r38vxMmKnlVUFOwGDKCiDqkQM1eRjkBEK0OZwjpNfhTGoEqlQu53y5A4fgKK/v67bpGOoFSiZPduJE2eguxFi6goWx+vtn8Vi3svhrOls8ZJop/3+lzvLa81se7QAS7PPqPz8UJbWxo5L5BIYAw6eXYy2GP52/nj+/7fQyLS7XfVR+Wbj51hq+n08Xv42vqiWUK8OBOPArF/3vtXz96cZWVliImJwbJly/T6ODw8pphQWb0gQKrnfMOdENzWDYFRrmYt0hFunjxikMcRisSI6jcYxkBZUIC0l19B2nOz6xXpCOqiIirkJYwYicK//qp3P1INN/KlNugwPFBjnzkXX1tMmNuBvm8MRecxj8C3le5ewm7+gej12Eym56TNY1s76D/ltJqQDl3Qd4buc1k/J7afA35OxqnMtXNl+3vYm/nnoznMzaoZMmQIXUStuQUFBaG5Yb5qCQ9zLHz9ILt8hWmKpqmgrqiAqqCA5LxD7OYGgUj3Mv2K2KswBJYx0bAbNAiGpkqpRPrrb1ABTmPUajohlN28Bb/lP9CW57oYHDiYhktsit9Et6TipFr7BNoHYmzoWIwPHW+Udk73l1+mAmTeyp+0Oo5EzZPf3TI8HMZiYthE7E3eq/fH6e/fH+93fV9j0bUughyCYC22RrmynMk5edp4cjofXWnt2hp/xdd/EaQtrVzMy7SdCde2ArvmAsUZ/91m7w0M+QxoNUovDzl06FC68fCYOhILEazsLVDBsI3LnvEFLBdIVZ9cpqQ+eNb2DbdqNkRVVRWyEwyTfN5++GjYOjkbpc01ZfoM2uaqKerSUmS+Ow/y1FS4v/JKnfuIREJ0HhmM8E6eiD2chltnsiErVdQSjD2D7RHZywch7d3pMYZEKBJh7Jvv4+/FHyPl6hWtk0/Hv/0BLCyN874n5x7ZdyDObNmo98fpNGYiuo6fTP9fV6L92IqKUb7GsWZxD7BDcS47myI3f/MJPDTXuVk1UqkUnvVUAj+86PRwR4SjoyNtjSWVeeYOL9Tx3McyKhLF27cze0aIf5mxAx8K1q1H2bGjqExIJG6u9HaBpSWt6rMbMhiO48ZBZG+v1biKlBToG4G1Nbw/+YSToKgr2Z99rp1IVwOyupv5zjvw+eqrevch4tvMyJl0K5QVIr4wHuWKcliJrWgrpS5+Z6xxf/11WHfqhMz350OZmdno/rYD+sNr/nwqAhuTrt5daVUdyzTVmnT26ozHIh5DH78+nMcira9E8NuWsI3JuQ0KMLyoTejr1xefnP6ESTAGeU4GBAxAs5sIbiA+Og9VKRdn3rv9kdV6nxDy8Jg65IIzOZadPYl7oHEvODPiCxB3LAMZ8YUozf+vYp9U+HkE2SO8iyet1tJGDKooKUZleRn0jatfALo9Ynh7C+I/l/bsc1qJdDXJW74CEi9vOE16pN59HD2s0fORMLoV361AYU451MoqWNpKaBUdEY2NiYWVNSa8+zHOb9+C4xv+gFLesPcZEas6jpqArhMehUhsnE6HatoPH4PY/bvp+5Q1YokFDdzoMGIs3AK4Vx218XWEj6MV0gvZiFzDo9il9mpDSFt33D6Xw2QsB3cruPoax2vQKPBzM5OAF+p47mM/aBByPv+CVkdxhYZF9OtnlGeXhB1kf/EFCtdvqLNFtUomQ8WlS3S7+823cHvjdThNnqyxNxRpC9W3SOf3/TJIQwzvaVF25gwKfv+d0xjFO3bSSkD7IY2nqDpaOqKjp2mGidj27IkWu3ehePceFG3dCtmVK1AV/ev/JhDAIiCAinlOj06CZSvTqYL6oNsHmLBtAsoUul2wiAVivNf1Pair1CisLIREKKFVjqRyzNXKlem5Tm45mYlQJxKIMCl8EowBeU4GBgzEzsSdnMfq5dPL4GEYRoW0UJDV2jpdZMhtAmDXW0DL4eSKywgnyMNjGrRo785MqHMPtIe9i3Eqi4pyy3Fg9Q0q0NVXXZd8NY9uJE2037QI+IRptninNkCyppOXD8a98wHERrC3uLt8BWTXuKWC53z2GWx7dKde0ZpUXZpS5WU1JMCjw8hxaN1nAK4e3Iv4MyeQm5x0X7QTicVw9Q9EcLtOiO4/GLbOLjAFrO0d0P+J5/DPks90HsPWyQX9n5yN4txsGpwisbSCW0AgPIJCqIjJCtIC/ViXAHy26wbnsQJcrNE7zDiL2MFtXGHrJEVpAfcwi6jevs3HQ9gE5mb//PMPbGuEsJAOiI0b9VuRaorwQh3PfSTe3rDr3w8le/dxflbshw2D2MnwlVHytDSkPPEEFMmaVb2py8uR/eFHKDt2HD5ffwWhVNroMWIXF8gTEqAPpK0i4L1okdHaJ3O/XsLEf4+MYzd4sNl/qQksLOAwcgTdCMr8/Hupara2ENrYwBTxtfPFt/2+xfP7n0eFskJrweujHh9hRLBhUtGi3KIwLnQcbYPmwozWM+Bv7w9j8Vr713As7RhKFLqbmJOK0jkd56BZkXziwZaKWlQBxen39gvqacAT4+ExLULbe+DEpjtM2l+j+xhnMYCki+7+KU7jYIziuzJs+foiuowORvshgY3ub2lrRyuo9CXYhXfrhf6znoWVnXZdGCxQFRcj7+efOY9D5rx3V/wIrw8/gLlDXoeOo8bTjbzm5cVFdP5qZW9v9Oq5+gjv2hNFOdk4umaV1scSj7vx73xARUhDMKtHIP66kIbbOdwSpz8eE6mx9yFrhCIhek4Kw87lsZzGcfGxpSnYzQYTmJv17dsXP/zww/2fbUz0mkvf8GESPA/gPvctCK25rcoQry73118zSmot8e7QVKSrSemBA0h/9TXqcdIY+qieIgKd50cfImjDBqOJdMRfruLiRWZtx+UnT6KpIXZ2hsTDw2RFumpIleKqIavQwlHzdDMPaw98P+B7g4l01czpMAfBDsE6Hx/lGoXZbXRLnmUF8ccjVYgCmjGmG3M7zjWq2GgUSrPZ7sfD00QRSYToNSmM8zjeoY4I69y47w9r0m8VYNeKq9qn11YBp7Yk4PL+1EZ3JVVuLr6sP0MFCG7XEePf/QgjXn7TKCIdoWjLFtoNwmSsf/6BqpSb+GJqEIGWeAaS6jlTFemq6TR6Aoa9+AYsbTRvo/QOb4XJH35hMJGOIBWL8PUjbWDNod35iR5B6BlqXEuY4DZuaNXTW+fjJZYiDJgZYXBPxuY+NyPCXIsWLe5vXl51t0+TgpCHr90Vigf9Nc0ZvqKO5wEsfH3guWA+Mua+pVtllUgEr4UfQ+zKtkVOE7IWLIAiPV3n44lYV7B2LZynTGlwP5se3ZFfR2y0TggECPjjD1i30y1CnSVlJ08wHu8kbLp1e6BlWJ6SQhNkidAl8W1GZeRGgIQSrB+xHmtvrMX6m+uRWpJab+smCe6Y3no67Czq9i1KLU7F9fzrtBVWLBQjwD4AEc4RsJZwb7WwtbDFykEr8czeZ3C78LZWx0a7RdPkWQuR7gbkrBgaNJS2G3986mOoqlRa+dIRsXJ82Hg0O2w92O7Hw9PE219T4rxw/UTjvql1YWUnQf/pEQb/3pVXKLHv12tQKXW3VTmx6TZ8wp0a9YgKiG6L3GTdPNwexsbRCTO+Wg5LE1iYKzvBbuGzqrwcFZcu0xbYahSVMlrpVaVW08ot8rvz6I+IHn3g1zoaZ7f+hbjD+1BZVrdVCfGbaztkJCL7DKAtv7VQKYCc60DONUBeBljYAO6t7m0iMZMQiF9mdMRTq8+hRKadD+/jXQIwb3gETIHek8OhVqhx41SWVsdJrcUYPjsarr7NLETCjOZmbm5uNBG2mvj4eJSXswmpMwV4oY6nFg6jRkFdIUPWRx/R9EtNEUgk8Fq0CHb9+xv8WS09epRJy27u4i/hMHw4RA71JxTZ9OgBiZ8fFKmNr/A2hk337iYh0hG4ep/UGi/uGtSVlSjevgNFmzah4urVB1aEhba2sGrbFo4TJ9D3jDGCM0jCLUkEJi2umrQ9mxtEwCIC3LRW03Cz4Cau5V1Demk6XX1yt3anYl6ESwT1oXuYUnkpFfg23tpIj6nLy663X28aLtHBswOn8yTnsnb4Wiy9sBRrbqyh/ngNQcTCJ6OexNPRT9d57sZiQtgEtHRuiXnH5uFOUePpg0Tw/LDbh2jn0Q7NkoBu9xLESHBEnV4ognv3k/0YU1paitu3/xOGExMTcenSJTg7O8Pfv5lVNvKYDX0ea4kqdZXWF5w2jlKMfCnGKJ5j53YkcfaIUquqcGTdTYx7o32D+8UMGIpz/2xmYuHRbthokxDp9DI/u3YNgshWNNzg5smjyEtPpSJdNTZOzgiMbouYgcPgFWqcLg+lQgWVsgpiC2GTrGYiFYB9pz+FHpOnIftOPHIS79D2XSLIOXl6wyM4FC6+fnUfnJ8AnFoOXF4LVNYRTiF1AGIeBbo8BzhzC5foEuyCXa/0wlt/XcHR+LuN7u9iY4EPR0dieLRxAiTqgrTe9p/RCj4tnXBsQzwqyxu/tvVv5Yy+j7eErZMlmh1GnJtpS79+/fDdd9+ha9euUKlUmDt3LiRG8BDVF4IqTXr9GFNcXAwHBwcUFRXBXsvETR7DUXE1jiZ4Vt661ei+lpGR8F70CaShoTAGKU8/jbIjR5mM5T53LlxmNhzpXLxzJ22V5YRYjMB162AV2RqmQMqTT6Hs2DFm4xExs0qlhDKj8dV/8r4hIq8hnovK27dRsGEDys+eo/+Pf0ukSYWfVXQ0HMaMhk3Pns262u94+nHMPzEf2eWalbWPDhmNuZ3m1luRpw2k8m/jzY04lHYIycXJ90U74p8X7BiMfn79MDFsIjxsjL+SVx8qtQqHUg/hr/i/cCn3Ekrk/3nX2UpsaSXg2NCxNPXWlIRGo3xf308WI9Scjvz796en1NdDhw5RD5SHmT59Olat0t4/qCnAz83Mh1tnsnB0fTwNX2iMsM4eNMWTJKoaGqVchVVvHdfowlgTHnm3I9z8Gv6e2bvyO1zZt4vT49i7eWD64u9gYWkaYQrXo6Lvz1W4Qj5ls4cOwJW7GY2mphJCO3XDgCdn00o7fUIuR1Ov5+PGySxkJxZRj8JqkcXJy4a2bbfu6U39wpotREw9tQw48DGg1KAVWmwF9HsX6PoC7eDhytmkfKw5nYKTd/KQVfzf41tJRIj0scfYtr4Y09Yb1hamWwdEKnxvnMrErTPZuJta+kClr42DBRXzInv6wKuFft/vJv+dbaS5GWHGjBkoLCzEli1bat3Xp08ftGnTBkuWLKE/Z2RkYObMmTh+/Di8vb2xdOlSTJ48md5PxjF3eKGOp0HIClvp4cO0Iqr80iWocv9bTRF7eNyviCItjsYSNojXxq1OnZmk1RIso6MRtGF9o/ulv/Y6infs0PlxXGfPhttLL8JUSH3mWfpaGw2xGF4ffQTHsWP05mGY9eFHKNm9u9F9paEt4LVwIRXumhsbbm6g7ZtVda6i1U+oUyhWDlwJFyt2CWvlinLkVuRS7zdSdWcpNs+VzczSTJQry2lghJeNl1mJwAYRb8iEkCSM1TQvtvcBhnyqt4kgT214oc68UFSqcPN0FuLPZiM3pYT+TCAfL44e1vBt6YzIXj5w9jZeVVjilbvY8f0VZuO1GxyArmNDGtxHXlGO1XNfQlG2dlWH1ZCKpgnvfgT/yBiYCjfatGXiUacSCHAh0AO59jY6BBl8CPdA3f1kG4K8f/evvo68tMa984JiXNF7SjhsHJpeF0SjSZybnwFidUi+jHoEGLuCqJ7MTievtBKFFQpYiITwdrSCyEiBEVxQqdQoyZNBrayCpa0E1vbGt1ExuYVUfm5mVHihjkcrlAUFqCKtglZWRkl1rYuyM2eQMm06s/EEUinCz5+DQNzwihBp60x77jmdvEOIuOn54YcmdcGevehTdt57uiIUwmfJ17AfNIjpsBWXLiH1udlQFRRofpBIBI8358B5Orv3lqlzMOUgXj74stYiXTWRLpH437D/0dbU5oBSrcSdwjtIKUmh/+9k6US9+xxI20kTwWDiDbkIIQlixJyY+J6Qlgqh4dvhmzO8UGe+kHbY8mI51OoqWjknkZrG387pbQk4tz2J2Xh+EU4Y9XLjdiGFWZnY8OE7KMnL1VqkG/zsy2jd2/AWLg2RMGYsKm/c4DQG+VY/H+iJHAfdhFsSpDFl4Vdw9GAbRnL1cBqtDiXvXU2R2ogx7NloWmXXbNj1zr1qOl0hVXWDF6K5oJDJkJOUgJL8u/Ray87FjQrNYgvzEuOM/p3Nz82MSvO4muJhBhXnTESgq4aFV1xNSNiBMjsbEp+Go7iJp5nf8uXI/fZb5P3yK1maaXRsInC6v/oKnB5/3KREOoJlVJSxT4FWRWa99z6s27aF2I1NUpTs+nXa1qvWNuVMpaLiJan0c546FU2dQlkhPjj5gc4iHeFq3lX8FPsTno15Fk0Z4vX3x/U/sDd5LyqUFbXuJ2LdxPCJGBUyClJRM1v11xUiygX1NPZZ8PCYJQKhgPrQmRrFubU/H7lQpOF4jp5emLLwS+z98VskXDir0TH2bu4Y9MxLCIhqA1PDKiqSs1CX4mKvs0hHqCgpxu4fluCR+YuYzV/jjqbj8NrG7XUeprJMiW3fXcaYV9vCI7AZWCglHQNOfc9tjJPLgJbDTcJXTJ/t07fPnsSlPTuQevUKqh7yOybpwIEx7dBm0HAEteXmrdxs4OdmRqXpuXPyNDtqGuAyG1ND60YSQuD++usI2rgBDqNH0Z/rggQnOE2diuCtf8N52jSTE+kItn36QGjNPcWTK6qiIuT86z3AFbVcjvQ35mgv0tUg59PPILup/USSRdtnbG4sTmeepv+Sn/XJb9d+Q54sj/M4RKgrqixCU4S8Bp+c/gSP/vMott7ZWqdIRyAJuR+e/BATt03E5dzLBj9PHh4eHlOAtQu2NuMRs/6xc+dj1Bvv0oTNhvzoek6ZgelffGeSIh3BftgwTscrhELc9OJuS5F2/SpuHDsEFhRkleHohnidj1dWqrD3lzjqg2hoSPVqxu1CpN0sQF56KdQq9tchD7B3fj2m/tpQBex9H00Vklq88aN3sfXLT5ASe6mWSEdQq1RUuN/06QJs/uwDlOZzn/Py8OgTvqJOj20I5AM8K6EI+ZllUMrVsLAUwcXXFt4tHOEZ3HRao4yN2MWV7YACgdZtvZatWsH7s8/gOX8+reCqjL+NqkoZhDY2kIa3hDQ8DEITL7cW2drAYdw4FPz+u7FPhSbFesyZA5Ejt7aG/F9+hfxO4+mbDVGlUCDrgw8QuOYPGEII+vvO39gcv5mmtNZMPxUKhAhzCsPYFmMxusVo2EjY+Q4pVApsit/EZKxKVSW23N5C02abEkR8fHrv07SaTlMSixIxY9cMLOq5CEMCh9BjiehKEmHlKjkNlgh3Dqeprz62DVfw8vDwsEEuq0DixXPIuhNPfczUahX14PIICkFAdDvmrX3NGWs7tvMeKx3GC+3YlW7lRYXITriNwuxMusBrZe8Aj+AWcPLyMcnF05rYdO1KQ7cq43UTttKd7aBklJx6cfc/iOhZO4hHW46suwWVgpvAVZRTgfO7k9F5pH6882pSki/D1SPpNMilNP/BEA6RREjbcIknZFC0K61wZUbGJSD9HJux0s4CmZcBL9PxX2QB+Sz/65P3ISv9L7irMYhg98c7r2LCvIVw9PJBZnwhcpJLUHy3gi4IEL86N387+IQ5Qmpt2qFfPE0XXqjTg0B35VAaLu9LpR/qtThzL0XRxccG7YcGIrSD6SYXmguWrVsxHc8iMJAKbLpAKtKs27enmzni9vJLKNm7l7b+GhNimlx65AgcRuluJF+lVKJg7Vom51Nx4QIq4uJg1Vp/qbRH0o7ggxMfIKcip877iWh3I/8GFp1ZRKvW5nedj95+vZk8NqkAy5flg2VqbFMS6kiK6wv7X9BKpKuGeNfNPTwXS88vRVppWp37kLCMrt5d8Uz0M1S04+HhYY+srBQnNv6BuEP7IK+oXQ0bS/8YBQiMbosej06jIg4PN9z82SZ0uvvrnixOxFhzbnfz/PADJE99TKfgtCwOLa8Pkxl/k1Yi2TrrXqGXl1GKtBtaeAY3QNyRdHQYGgiRWD9NYsQ779LeFJzZlvhAQmhNiOCYei2fbh5B9ug/PQJOnoye8zv7wZTb+5uUUFd8Nwd/LZqvlUhXTWlBMdZ/vBGWth1QUVp3MrVYIkRoJw90HB4EO2fzDDTjMV/41leGFOdVYNPi8zi2Ib5uka4Geell2PNTHHYuj0VlBZvY+uaKxMODrjSywqZnDzRXRHZ28P7883pbeA2JLC6O0/Hl584zFRxJlZ+++OHyD3h+//P1inQPQ5JQXzjwApZd4mAsXANdBKgGx8tnO56x+TXuV1zKvaTz8Wqo6xXpCMQX8ETGCVp99+mZT2mFIw8PDztSrl7Gb6/PxsWd2+oU6f77Y6xC0uULWDPvdSrqaWqDwVM3vhHOEDKsLvJv7dxsn2ri3ev20otaH0fewcVWbP0LsxNvczr+9jnN5jqaUFGiYCb6PQxpq92+7DJObr5Tr0j3MNmJxdiw8CySr+axq6hjSSbj8YzMnhXfQlZSrPVxApEXLOynoQpt6hXpCEqFGtePZ2Ldh6dx/USNZHoeHlMU6ioqKnDs2DFcu1b7Qkwmk2H16tVojpBS2c2LLyArQbsPi4RLufj764u8WMcRpymT2Y31KLuxzBGbzp3gu2yZ9lWFjFtH5GnpnI6XXaX1EcyQXb0KfUBCCb6/pJtJ8PLLy7E6jvtnLgtvuofbREklWVOA/C4rLq8wyGMRwY68H0jyLi/W8WgLPz+rmzvnz2DTovkoLdC8aph4GZ38cy32rvyOfyNywMZBiqA2bOxJbJ2lCIhibHViZrg++yxciVinxXxLLhIya3ut6QfGhZwk7YWVBsdLZjteNXt+jkNKnPbdBkTc2bkiltofcaZMu+TiRillPJ4RIRYGyVcuan2cUOwPC7sJEIo0t9eRy1Q4sPoGzu1kl2LNw9MYWn1y37p1CxEREejVqxeioqLQu3dvZGZm3r+fxAPPnDkTzQ2VSo0dy2NRWvCgZ4Gm5KaUYP+qplWBYmgcxo+HRUgI53EcJ06ANDgIzR3bnj0QvG0rbHpqlsJo1bYtJP7+bE+CYyWDPDmZ2anoYzxCQmECvjr3FacxllxYgtsF3Fa3hXooriaeeoYiozQD/yT8Q59LklxLqtI23tqIm/k3OY/99+2/IVM1XCHNmqPpR/HZ2c8M+pg85g0/P6ubwqxM/LP0M6iUui0cxO7fjQs7t3F6bZo7nUcFUw8vrnQdG8K0Os9ccZs9GwGrf4NFQEDjOwuFsB8xnP1JcJyfFeawDcciXnWsuXYsA4mX7+p8PGmH3f/bde5hF6znUgacmxFk166hYN06ZH28EJnvz0fO4sUo+mc7FFlZnMe+tGe71scIhPaQ2I6CQKCb79zpvxNw5wK7ilAeHmYedXPnzkVkZCTOnTuHwsJCvPLKK+jevTsOHToEf9YX6WbEhV3JyEvTPVWSQL4M4s9l8551OkKCGrwXfUL9O4j5vy5IfH3hPncuuFIll6N4z16UHthPfc2UGZm09UDi6QnL1q1h168v7IYMqRUuQVpsyk+eRPGePZBdjYMiPZ1OhsRubvQ4kspqN6A/BGJxo95sZBNIpZwMkiXe3vBf+SP9HQr//BMV5y+gkgQzqFR08mcRFASrNjFwHD8e1u3aIWXWE1AwFLPI782FKiXbJDDynLJm8bnFkKvlnMZQqBV0nOUDl+s8hq+dL1hCghEMIdSdzz6PlVdW0rZRUo1WFy2dW1K/vBHBI3R6jCPpR2AMNtzcgMGBg9HRs6NRHp/HvODnZ3Wze8VSKCt1W0St5ujaVQhp3wkO7rynsC4Qr64uo4Nx/E/dF5RC2rkjrCP3kA9VYSEKN29B2amTVEBQFRTSORXxJraKioT98BGw6dK51nEyhQrbr2TiSHwurqYXIa9MDpFAgAAXa0T7OmJkjBfaBzTelqtSKqjGJZZwM6e37tgRwTt3oPTQYRRt3QpZbOy9OSMRIqRSSMPDaXeE4yOPQOztDdH0CVDpODeuCxsnZ86+byxhnbpKxLUTm7ktgBIKs8tx5WAa2g3WQFStD6cgIPk4mOEcCH1DrmeKNm1G/qpV9QegCIWw7dkTrs89C6s22qctk78lXarpxNaDIBBws/c5vPYmfMKcYGnLh0zwmJBQd+LECezbtw+urq5027ZtG2bPno2ePXvi4MGDsNHRgN+cUchVuLw/lclY53cm8UIdB6yio+Hz9VdIf/U1rcU6sZcX/H/+CSJbbsbHZJUo+7NPocqtvQqnSE2lW8muXRB9+hnc33gDjuPG0vvKTp1G1ocfQp6QUOfEknzRFW3ZQsUr9zlv1ApZKDtxAkV//42Ky1fuVX5VVd2frFl37ACnRx7RbPW1DkiAQnWIAhGr1LJKCKUWEDw00SShHuQ8TCUkROSsXXJvY4id2XrjpJak4lj6MSZjEaEqpTgF/va6LZi0dmUbktHKhW3Ay8OQttAvz3+JNdfX1CvQVUMCON4++ja2J2zHR90/gquVdq1T1/OuwxiQ34u0NvNCHY8m8POz2qTdiEPaNe6WBUToO79jC/rNeIZ/M+pImwH+KCuSU1N+bfFt6YQBMyI4L6DmLvueCgdVDwm3ZF5TeeMG3Qo3/knnTV4ffgCrmBgqOKw+mYyv991CYXnteSUR7C6kFGLViSRE+Thg4dhIKtxVo5TLcfPkUdw6fZwmzpb9235taWML96AQBLfriNa9B8BSh7mnQCi8t/Db714Cq1ouR5VcAaG1Fb2vJm7+gTQZkxUeQdyCVqxsLWolp3Iaj3G68K2z2agsY7M4G3c0HW0H+uueBOvdBrj0O5jhpb0opg2K7GxkzH0L5adONbyjWo3Sw4dRevQonGfOgPurrzZaiFCTuynJWldKC8Q+EEn8mfgiXj2Shg7D+A4sc+bQoUPo27cvCgoK4OhYfxt0YGAgLU4jm6ERaut/Iq7xR0SqdX744QeMHDmStsGS1ovmBil/rSxn82FOAiaY+Bk0Y+wGDEDA7/+DRbDmUe22ffsiaMN6nYWs6klg+utvIOONN+oU6R5GlZ+PzHfeQeqLLyHrk0VImTmzTpHuYZS5uch4cy7SXn4F6spKWu2WMHYcrWYr+nsr5ElJ91sSyGRUduUK8n/+BXeGDEX6m29S0Y8L5EtUZGtTS6QjkIo/ZohEsO3BLdTDshVbsYj1eIdSDzUqMmkKGedg6kGdjw92CEaoE7tAlkGBg6BPke6lgy9RLzdtnj8iipKwhtxyzf1ZZEoZiuX68b7RhDNZZ5BczL7lmgdYtGgROnbsCDs7O7i7u2PMmDG4eZN7q7Sx4Odntbl6YA+z5/fa4QO0goNHd7qPb4F+0yJgYaXZxTgRNtoNCcCIF2IgthDp/LikxS5x4iPIW7GilkhXF5U3byJpylSkfb8CU386jflb4+oU6R4mNr0I474/geWH79Cfrx87hB+fn4ld33+NhPNn7ot01QnEJODk0OqfsOK56Ti9eQPUam5dAKRLg87PHhLpCMHtOoEVTt6+cPT04jSGG4f0XkOMx6Xl9WGK78pwN51D11XESGKqxuZkhJJ74+kJUtWZPHlK4yJdTdRqep2S/uqrWnWulBVqHyAitogGK+KO8sES+mLGjBl0TlaXsEa0J9LVqQ9WrVrVoGBnDLQS6lq2bEnbXh/mu+++w+jRozHqoSqf5kBmPNs3S+ZtXqjjClkFDdq8CR7vzYNFi3p86wQC2HTrBt/vv4ffD99zarMkK67pr7+O4u3aeyWU7t2LAhLAoqXfR8nu3UgcOw5Jj0xC5XUNKn6qqlC8dRvujByJiqvc0lTrw7p9e0jDwpiMZdu7N2295YJNp06AFqtzjY7XrStYEpcXZ1LjTW7JJkTF3dod/f37Q18Q7zZdKxGJ6PXSgZeg0vCCiEvrOCvOZdX+zm2KkNfkbNZZ7EjYQf/V9DXSlcOHD+P555/HqVOnsHfvXigUCgwaNAhlZWUwR/j5Wd0VdayoLC+jFRw83Ijo5oUpCzpTAc7Kru62MbFEiJbdvPDIOx3RdUwIRGLdbRSUeXlInjadim9aoVKh5Jsl8Nm5UbvHU1fh05038OInq7Dj28WoKG58Tq+UV+LYutVYP/8tVJSWQB9E9R8MoYjNfKjNwKGcx/CLYNehQL6mfcKdTDqcgniR64ydJxDB6Pq61ah74+kBUrCQ+txsKDJ0E7BK9u5Dzldfa36ADtMzocQPrCC+9EW57L0Rm/vcjOdBtPr2Gzt2LNauXVvnfUSsmzx5crOLsr/L0Zuu1njp+vmSbm4IpVI4T52KkH/+QYuDB+D73bfwXLAAnh9+AP9ff0HYqZPw/+Xn+y0DXCj43//oF4yhoRV4xC9OC0i1X8qsWfV7RnDE4y3uHn8CCwu4v/4a53GI+GrXn41gJHJ0hN1Q7pPTmmSVcTfSrUl2GbcUtnEtxiHalftq47zO8yAhq7Z64HTmaerdxoWreVfxa9yvGu0rFUm1bpVlDWndbersS96HwX8NxqzdszD36Fz6L/mZ3K4vdu3aRVdtW7dujZiYGLqSmpKSgvPnz8Mc4ednDyKXVaAom+1nbG5yItPxmnMSLBHgZn7WA5Pf74yBs1qh95RwWm03YW4HPPlVL/SfFgFXX25WJITM996HIkX7dttqpl/biZb52qc8bityRbqldlVnGbeu46+F70EhYx9eZOvkjA4j71mtcMHZ2xfRA7jPhUgSsLU9m3ZVkgRs52wJVhD/vPIibt7BD1OSz/E1HfQxILXnNobU4d44eiL3hx9QybGzjrSmV1y6pNG+Dm5aeoYKSEs498+UmtxNa9rX7MaYm2nDsWPHqP2alZUV/Pz88NJLLz2w2Pq///0PHTp0oJ0Tnp6emDJlCnJy6g4CIdV6JBCVBKOSRXqyLViw4P795eXlmDVrFh2L5DL8+OOP9+/r168fXnjhhQfGy83NhYWFBfbv3284oe7tt9/Gjh076r3/+++/h1rN1tDT1FFUslWWFTJeqWaNxMuLtsQ6PTqJerXZdO0KkYMDk7EVOTnI+XoJzAl1cTHS57ypc+hGQ5AqRaepUzmN4fbqq5AySPClY73wPBX+uOL6/PO1wj9MDa5ttCKhCAt7LIQDmczpyKTwSejrz138ro8fLv/ApF3415OmJBAAALIOSURBVKu/0rZWU/Dbawxjtt4aAjLhe+3Qa8guf1BozinPobcbakJIJmcEZ8ZelIaCn589iLyiQi/iHw87SGurs7cNwjp5IrKXD6228wiyZ5IQSyDBXKUHDnAaQ4QqvHpxg/YppwIB9rv2hVrLsh/iY3dkjWYLSdrSbeIUuAfqPrcSSSQYMvtViBnMhUQiITqN5O7vJRQJ0HlUM/AJc/ABRpJrDV2r/AX3jrfn1qlSH6rSUuT/tpr7QGo1cr//XmPRWGJppfHQAoEUrGFlfWWKmMrcrD7u3LmDIUOGYPz48bhy5QrWr19PhbuaghnplPjoo49w+fJlbNmyBUlJSXSBti66deuGJUuWwN7eHpmZmXR744037t//5ZdfUtHv4sWLNJ/hueeeu2+X8uSTT2LNmjWorGGt8Pvvv8PHx4eKeFzQ+tuQ/JIrV67EsmXLcPUqd5Nec4fVhKJmyT+P+VC4fgOq9HBBoG+IaXL+6v/pZWyPd96G/fDhOh3r8tRTcJlZ94eoLkhDQ+H20oucxrDu3BlOj3ETH+vCw5ptgqCnNfd2hkCHQKwcuBIuli5aHzs+dDze6fwO9EVCUQJNeWUlfu1O2q3RvgP8B8CYWIhMWyDmAmmh+PTMp3WKr9W3fXbmM723WpAFxuoUe5Jsb67w87P/YCEmGGJMHv3BRDgA4F+Sg/Y52vtXFkkckGCtfcLmpT07mAY/VCMSSzDu7QVw8fXXSaQb+epb8AoNZ3Y+rXv6wL81t4WRDsMC4erL1p9OKBQwq/arxs6JQcVf5Hhg1Lfa+9WRDofR3wGR46AvirdtQ1V5OZOxyo4dv59g3BDEi5GEsWhKVRX7eQSXtnxTxhTmZv/88w9sbW0f2IbW6GwiPsNTp06lc7fQ0FAqtH3zzTdYvXo1ZP9WJZMKOHJMcHAwunTpQu/fuXMnSktrd0OS6jcHBwdaSUeq78hGHrOaYcOGUYGuRYsWmDt3Lg1VJUGqhHHj7v1t/f333/f3J10aRBTkaqGj1TuMnBBpE3nmmWfw4osvol27dlQxbM6Q1UBTHo9HvxRt22a2T3HBH3+gSg8VsAKRCN5ffA6Pt9+CwNJS49ZS78WLmbS8PozLk0/qXOVn2bo1fL/9Ri9eZawrtViNF+ESgU2jN2FQgGaBEE5SJ3zR6wss6LYAQoHQbLzazmVrNt7QoKEQ6LyKzZ0QBzbVpabIhZwLtVZrH54QZpVn0f30CfGqIwuP69atg7nCz88ehKRqknY/lrj46h44xWNYyIV+BcM29n6pun0G3bDVQdiqqsLFXfqZW9o4OmHyR4sR2VfzwCdX/0BM/vALhLTvzPx8Bj8ZSasodaFVD28q1OkDtwATDbto9zjw1AHAI0qz/T2j7u3f9jHok7IzZ9gNplajXMO/3ZAOWrwnq0pQVcW2pdnZq2les5vC3IyksV66dOmB7aeffrp/P6mSI2JYTSFv8ODBdOE1MfGeTQWxMiGBp6RVlbSskuBTArE50Zbo6P+sgarFvOo2WktLSzz++OP45Zdf6M8XLlygc8r6qve0Qaurqvfeew8DBw5Eeno68vLy8NRTT+HNN99Ec8YziE0LZTUejMfj0R8kQZWL94mxIYavFRf08yFLVrqcp09HyPZ/4PzELIjqaScTe3vB7eWXELxjOxxG6FaFpwme782Dx7x5EFhba3yMw/hx8P/tN4jsOfqC1EMfvz7MBCAyDhmPFc6Wzviyz5f4c+SfeCTsEQTYBzxwrjYSG3T07Ij5Xedj94TdGBI0BObm1abpeJZiS/r7GotIV/Ot8GoMTRN4tUnq1RbSJkFWbonQ5evrC3OFn5/VxiusJbPnVyyxgHtgM2ixayJUxLLt+AkrTNXpuBypu07H3Tp1HGotPYg1RWptjcHPvkQFu5bde9P3dl14hoRi8LMv47FFX8MjuIVezoUkAI9+pS1a9/TWqvOo+4QW6PtYS70FPgVFs/OmJf55LPwW7+MVAzxzBJiy8V6Cq81D7zFbj3u3k/ufPgJ4sUs6rY/KaxqE2mmBTMPx3AO0+0xWK9n5lpL3YVMtrjGFuZmNjQ2tXqu5kVbSakhVHCkcqynkEfEuPj4eISEh1KuOCHeklfWPP/7A2bNnsXnzZnqsXK69YCuRPOi9TT57atq9kfZXEkyWlpaGX3/9lba8BgRwX9zTqn6WqIMnTpyAl9c9g9QvvvgCK1asoKKdi4v2rVJNgdCOHjj+122oFNwrk+xcLOHLOLmIR39U/qvYm/tk1rpDB72NL/HxgcecOXB/4w0oUlNpiIW6QgahjTUsW7ak/oGGwvmxqbDt0xv5v/yKoq1boa6j9BlCIU2cJSKjTRf2q8c1IeJXN+9uOJ5xnPNYXby60LZV1oQ7h+O9ru/R/y+Vl6JIXgSxQAw3aze9Vs/VRYmcrWlvcaXm3m8+tj64WaB96xNXfG190c6jHZoq5H3Ecj9tIMFXpDOATNyIiXBQkHmLMPz8rDatew9A/OkTTJ7f8G49IZGyM6zn0S/yJLbzM+/SuxBUqVGl5fdemdgGlQILSLWs5CFJsHdTk+EeGAx94R3Wkm4qpZI+VmFWJqrUKlg7OMI9KIRWpRoCiVSEPlNbUq/CS/tSkBSbhyp1VZ37hXX2RJsBfnB013zRVRfIuZzcfIeJB1nrXt7Uj5EpQiEQNujeRijNBRRlgIUtYGP4ACxVCdv5mapYs/kZea9qg1p+HSKJ9q3fddGio0eTbX015txMU9q1a4dr165RAa8uYmNjqT716aef0qAJwrlzDXfSkPZXlY4LJFFRUdTDjtjDEb86ErLKAq2EuuLiYtqTW421tTVN2iAmzM1VqLO0kVAD3KuHG++nbwzy5cP8w5xHb+gjjMHQyJO0TzPTBbLyYOHvTzdjYuHrC8/334P73Dchu3aNevWpiksgkFpAGtIClpGtIXYynFj+eofXceafM1CodX8viYViOo6+sbWwpVtT8WrTZjzSDmwMoe6xVo8ZXBA1JO3c21GvRmJOXJcXCqniJPeT/fTR7komU8RThLREZGXdW2knHiVkXmNu8POz2gS37UD9uPLSUjhXiLcbNprTGDyGpUrOdn4mRBXEajUUIu0/j1UCEekV05qCzHS9CnXViMRieASF0M2YeIc60k1WpkBOcjHyM8qgUqphYSmGq58d3PxsIbYQGeRciCjYZUwIDq/h9r3v4GaF6H73RAK9YksEE+OJJixC2x4c78HqpfqwsrOHvZs7inPrTvJ8GJX8BsRW3Tmnv5JCzph+5luBb8pzM02ZO3cu9Z0jXRGkmo1U4BHhjlS1EZGMtLsS4e3bb7/Fs88+SxczSbBEQwQGBtJKPZLUGhMTQ3UusmkKOQ9yPuRcxo7lnrJN0NKREti9ezedyFZDyv7IL1QzWGLUqFFoTpCY+aQrd1Fa8F/ah7Z4BjsgqnfT/aNvioi0XMkxRapUTTexqCGEUims27almzEJdQrFy+1exuJzi3Ue48W2L9LKt6ZOkEOQ0cbr6dMTW25vgSGJdo3Go+GPoilDkobf6vQWTRAjE7+aE8LqVuu5nebS/Vjzww8/0H/79HmwZZy0LLDwFTEG/PystsA25LlXsOa9Nzj5sXYcNd4gggkPO0SObG1kKkQWUIi0vmSiVXgWOvpi6av11RwKIPxbudDNmJB23KTYu0iOzdPpeFJt1X96BCQGEheNiTQ4GMp/F7vYjKe5aBzUpgMu792h4d4qKMr3wsKWm4jSZoA/8xATU8KYczNtPOMOHz6Md999Fz179qRdEqTlddKkSfR+Nzc36mH3zjvv0BAJUoG3ePHiBjUqEkhBRD0yBqnGmz9/PhYsWKDxOU2ePJmGW5B/iW8dCwRV5DfTECEptW1sQIGg0bJBsvJLxD5SiUd6h5sC2UnF+HvJRShk2n+x2jpJMW5Oe+pjwGN4qlQqyFNSaHqr0NoaEj8/GojQ6HFKJW6274CqGnHM5obLU0/C/XX9V2PxNMw3F77BytiVWj9NT0Q+gVfav9Isnt7Tmafx5J4nmY1HBNInozQbT6lWYvCfg5FTodmqLVdcrVyxeuhq+NkZYCW+EQzxfb0veR9NGKtpXkxSjMlEcECAcVN3zQUW87OmODcjXNz9Dw78slynYwOi22Ls3PdpYiaPEZCXAwVJxFwKsHYGHDRb0C4/exbJj09jdhpXXYIwp+fzWh/nJM/HY+nrdXrM8e98iMCYpmt9YA4o5Crs+P4K0m4UaC3SDX46kqnXnSmTs2QJ8pavYDZe4Pp1sIqJ0WjfuylJ+G3OC1qNL7bqCbGl5omxNSFVn6NeagORxPjdDvr+zubnZtqRlJRExULih0eEQRZotTxU0zSP50E8Au0x+uW22LUyFqX5mgs3Lr62GPZsFC/SGRi1XI6SXbtQ+OdfqIiNpSJdNQIrK1hFR8NxwgTYDx5Ub0m3QCyGdfv2KDvBxgPHGFi2Yps8yqMbL7V7Ca1dWuOjUx8hT5anUdjDvC7zMDBgYLN5yjt4dICXjRcyyzI5j0XaSYcHDdeqvZgIou8cewf6hngXftfvO5MQ6QwFEeP6+vWlCWLEnJj4npCWCmOu1pob/PysftoOHkEN8w/8uoJ6f2kKMdonZvq8SGdgyvKAC78BV/8Ccq6T1dT/7rN2AYL7AB1mAYE96h3CMjISQhsbqMvKmJzSFVfd2kJ9ZRk6PybxieMxLqQabuSLMTi/KxnndiRBrarSKOGVVNK5+BjPKsTQOIwazUyoswgO1likq04lJn6kcYf3aXyMsuIo/VwRWXaCQAt7kcAoFwx6MtIkRDpDwM/NNEOhUNAKvHnz5tF2XFYiHUH7Ou5GJoo7duzAiBEj0BwhEeOT3+uMU1vu4NqJzAYDJqTWYsT090O7IQEQ6eB5wcMtRjzz3Xk03KAuiGhXfvo03XK/+xben3xCBbm6cHx0kvkKdURo1GOQBI929A/oj05enWiL5ab4TbhTeKdWuXmwQzDGho6lm71F06l40QQi2kyNmMqpTbiaAf4D4GWrXZDJyJCROJByAPtSNJ8MaoNUJMWk8Em0lZkkzTY3yOtLkoR59ENzn59F9RsE34jWOLDqRyRdvkDSROrd19HDCz2nTEdYl/qFIB49QF6Tsz8B+xYA8jrCngjlefcEPLKF9AdGfVNnlZ3QygoOo0ehYM1azqelEgixM6CLTse2Lrmm03Fu/oGwtmfbvsujG0KREB2HB9GAiauH03DrbDbKix5sZxaKBPBq4YDWPX0Q0taNHtOckAYHwaZ3L5QdPsJ5LOdp2lfC9p3xFFKvxaI497+q/MZQyk5ApUiCxGYAhKKGKx+t7CTUs7BVd83TiZsK/NyscY4fP46+ffsiLCwMf/75J1iiVetrfdy+fRu//PIL7QXOzc2lymJDmEJ7hbxCifzMMlrWTExDXbxt6b+sIGao8WezkZ1YjLyMUiraSYghqq8t/TAPaefeLHwLTI28X1ch5/PPG5yk10IohMfbb8P58cfqbJtNmvQoZDU8Gs0Fu8GD4bt0ibFPg6eBlNPbhbdRriiHldiK+tnZWTRdTwxNW1Cn7piKa3m6XfwQiMC5ZfQWndKqZEoZXjzwIk5lntL62GmtplEBLjY3loqwlepK2Eps0dK5Jdp7tMeokFFwkJrehZkpfF/zGGZ+ZiqvdWl+Hk2gVKtV1CycBEIINbCj0Mak/+bJY8hOiP/3cdSw+TfpMjC6LQJi2tE2YR4DopQDfz0BXN+q3XGWDsCUjYB/7ZR2RXo6EkaN5lxVtz2wK75rM17r44LLEjA8Z7dOj9n/idloM2iYTsfy6B/iSV6YUw61Sk099cg1ZHOpsqoPeVo6EkeNgrq8XOcxrNq3R8D/VlN/UW0pyMrAxg/fRUlerlbHkTTvHlPfQmm+HXJSSlB8twJVapIoa0GrIwNauyC4rZtJJryaync2j/7QWairqKjAxo0b8dNPP1ElkRj5PfroozTlwsPDwyTfWJUVStw4kYlrxzOoSFczyITMyUgbKlHLw7t40pQhnqZFwYYNyHp/vs7He33yCRzH1TYgrYyPR+KEiWblVSeQSBD415+wDAsz9qnwNCOI6KiqUsFGYqNzmmlycTKm7ZyGfFm+1seKBWIs7bcUvXx7QVcUKgWWX1mOX2J/gbKq8TAWF0sXvNflPVoxaY7wE0HzQ9f5mTFf68LsLFzasx03jx9GacGDf9ukbdW3dRRiBgxFSPtOOl3E8Zg4f866VyWnC1J7YNZuwKO2lUfB+g3Imq/7vC/T2hmz+70OmViq1XGWqgpMSV8PG9V/tiqa4uTlg8c//wYSC+0ek4dHV4gUIK+ooNfCFlaap1w+TPGu3Ugnvtc6BKGIPTwQuOYPSHx8dH78ssIC7PtpGW6f1Wwx1SO4BQ0cIu2z5gg/P2v6aC3UEYM8Mvlbt24dNcybOnUqjci9cuUKWmnod2WMN9adCzk4vPYmKkoUGoU79JnaEgGRxk0c4mGHPDkZCWPGPuBFpy0Ca2sEb/0bFr612yxKDhxA+suvoKqRatJakAsO8s1o4HQvt9deg+vTTxn0MXmaH0TU2pO8B7sSdyEuLw65FfdWOi1FlghzDkNXr66YEDYBnjaeWo2bUJiAFw68gNSSutvX68JOYodFPReht19vsOB2wW2subEG2xO2o1xZewXZx9aH/m4TwyaaZKWcpvATQfOB6/zMGK+1SqnE6c0b6KbWIIXcO7wV9Y1z9tb9Yo7HxLi8Htj8NLcxPKOBpw4SF/9ad+UsXoy8n37WekiZnRNe7PQU0uzctTrOQi3HqKx/4FWpeRteNaRy9JH3F8GnJe8fzKNfKkqKcfXQPiRcOIOcxATIK+7NYyxt7aiAFdqpKyJ69oWFpZXWYl3mO+9oVVlHfOn8lv8AC39/sCDx0nlc2v0P/beuxG+vFuGIGTQMET36MK3WNjT8/Kzpo5VQR6JwyZtiypQpdALYunVrertEIsHly5dNVqg7sek2Lu5J0fq4zqOD0WGoearsPA+S+txslB48yPlpsRs0CL7fLK3zvvJz55Dx1ttQpKVpNJbYywvenywERCJkkuMyNDMdFjo4wP21V1HwxxpU3rql1fnfH8PODpYtW8K6c2c4ThgPiad2QgkPT2McTDmIj09/jJzyhpNSRQIRHm35KE1hJS2+mlKhrMDSC0ux8eZGyNUP+sXUhHj7EXHu3c7vai0IatqOm1CUQMXDSlUlbU+OcI7Q2gPPVOEnguYBi/mZoV9ruawCWz77kHoLaduqNHrOPAREtdHbufEYCIUM+LrVPe85rgxbDHSqewGyYO1aZH+xGFUaigdWHdrD+9NPsS5ViUU7bqBCodliaqi7Ld7t6oirP36CynJtW24FkNgMgb1bDNwC7KlxPfFFY2nLw8NDLAXO/v0XTv21DkpF/XMngtTGBr2mzkR0/yFat8FmffgByo4cbXA/gaUlnKZOgdtLL0EoZV9BqqiUURGyKDebCna2Ti5wDw6BlW3TsJHh52dNH62EOqlUikmTJuHxxx/HgAED7nt4mLJQd35XEk5tSdD5+N6TwxDZW7M4eB7ThHxh3Bk0iLhpcx9MJEKL/fvqFbbIClLer7+icP0GKHPqFihEbq5wmjgRzrNmQWR7LxVKVVqGvJUrUbhxI1T5dbf0Ca2tYT9qJFxnz4bE3R2q4mJkffQxirdt4/w7kYRb9zlzILK14TYWT7OHfKUsOrMIa29oZ+IdaB+IHwb8AF877T5vC2QF2HpnK85nn8fN/JsoUZTQYIYQxxBEu0ZjdIvRNEmVRzf4iaB5wGJ+ZsjXmnxO/PXJ+0i+clGn48VSKR5d8Bmt/OAxYy7+Afw9m81Ybi2B50/Xe7c8LQ15K1ag6J/t9XZXSMPDqR+xw/jx9/+Gku6W4Zv98fgnNhNyZd3zSG8HSzzWNQBP9AiCVCxCXloKdi77CtkJtzU7d6EdJNaDIZI8WFFkYSmiRQNRfXx530QezshKS7H5sw+Qceu6VseFdOiCES+/CbGFhVbHVd65g6Itf6PiyhVUJtxBVaUcIlIo0CoC1h07wmHUKIgcHbX8LXiq4ednTR+thLr09HRqSPzrr79SD5TJkyfTldvOnTvj0qVLJifU5aaW4M9Pz2kUp10fYokQk+Z1gqOH7j37PMYl/7ffkL3oU2bjebw3D85Tp9Z7f5VcjtJTp1C6bz9kN29S8U5oZQlpSAgNcLDt3p16xNV3LKnMq4iLgyItnYZeiN3dYdm6Faw7dqpTSCs9egz5q1bdS5/lkA1DfCH8flxBz5OHR1cWnlqIdTfX6XSst403fh/2u05BDzz6gZ8Imgcs5meGfK0v7NyGg6tWcBrD1S8Aj326BCJx3d+nPGbAmkeBWzvZjff8GcAtvP77y/OhituDipOHILuTClW5AgJrR1i0jIZl7zGwbBVZ76EFZXKcTszH1fQi5JXJQYI9A11sEOXjgA6BzhAJHwwgUatUiD2wGxd3/UOFuzoR2EIsjYLIkgSY1F9R5BfhhCHPRPH+2TycqsvWL3hLc/H4IYLadsDYN9/nPUJNCH5+1vTROUziwIEDNEls06ZNkMlkeOONN/Dkk0/SaFpTeWNt+eoC0m8Vch4nKMYVw56LZnJOzQm1TIbSI0cgi42FPCkJVQolRA4O90SnLl0MFmSQPudN7lVnNXAYOxbeiz6pu5rup5+oebEqr+42DiLQkfZZtxdfgEUg27ZqRU4OTZ8t/OsvlO4/oNMYIhcXBK5dw8wngqd5cSDlAF4++DKnMXr79sZ3/b9jdk483OAnguaHrvMzQ73WleXlWPHcdChkunvGVtN3xjNoN3Qkk/NqTpQVVSIlLg85ySU0wbLan9k9wA7+rV1g42CgIIPF4UBpFrvxxq4AYh6tfXtBMnBoERC3GVDK6j7WyhloNw3o9QYgZdsal5eeiqw78biwMxb5GaWA0AZCkQcEIjcINAxW8mrhgNEvt2326aI8unFg1Qpc3MntWqj340+gw4jaoXo8xoGfnzV9dI427devH93IhO6PP/6gk8LFixcjMjKSGhcbm7yMUiYiHSEpNg8l+TLYOVsyGa+pQwSruz/8gIING6EuKqp1f9Hff9N/rdq1o74ENl066/V8FOnpeh+v/OJFZLw5F4rUhs3tSdhE8fbtKNm/H+6vv05bLFhB22F9fBv1hGgIIjBmzHkTAWv+gMCMDVZ5DA8Jjvj41Mecxzmcdhj7k/ebbUoqD4+xMfX5Wdzh/UxEOsLlPdt5oU4Liu9W4OSWO0i4mFtvt4lQJEBwWzd0HRMCe1ftjOS1QilnK9IRCuuoXDv/G7D7HUBe2vCxFfnA8SX30mfH/AAE9WR2Wi4+fsi8LUBxAaCFFesDZN4uwpl/EtB1LN/uzaMdOUkJtLKTK8fX/46W3XvD1smZfwl4TII+ffqgTZs2WLJkCf05MDAQr7zyCt3qg9gabN68GWPGjIGpwznjnqy+zp49G+fOncOFCxfoE2YKJF6+y2ysKnUVkq6wG68pQ3wIEkaPQd7Kn+oU6R7Y98IFpMyciawPP9I+LVUbOLSDajJe2alTSJk5q1GR7oEhZDJkL1yInK++ZnpqWfPnc34uKy5fRsH69czOiad5sDt59/1UV678fv13JuPwmA9VKhXKTp+h/lHkX/KzPvnhhx9oAAOpHCNb165dsXMnwxY8E8BU52d3zp1iNlZ+RhrdeBrn2vEMrPvoDG6fy2nQEobcR/Yh+5Jj9EeVHoZ8aMwjXwDbXmpcpKtJUSrw+zjg1m5mp1VRIseJTXc4j3NxbyotRODh0ep9s2sbk2shpbwSsfvZ/V3wmD6GnpsRZsyYQcW0Z599ttZ9zz//PL2P7EMgnQMfffQRmio6V9TVBVE0v/nmG5gCuSklBh9PXqFEwuVc5CSVoDC7jE52LG0kcPWzg29LJ3gGO6ApU37+PFKeelrjVC1KVRUK1qyBIjsbvkuXQCBm+pakEI83fY1HklrTXniRCm+6kPfjj5CGBMNh9GgmImnFpUtgQcH/fofzlClMxuJpHuxK3MVsrHPZ55Bbnst71TUTivfsQfYni6DM+q+6RuzpCY933oY9CQLSA76+vvj0008RGhpKgw1+++03jB49GhcvXryfmNqUMKX5WU4id8GiJsRzydm74RCaopxs3Dl/BjmJt1F8996Cgr2rG9yDWiCkfUc4uDft5POLe1Nw4i/tvKkUlSoc/N8NVJYr0XagHuwwxNJ77aakko0VdjVex2t/Awd0rPJWyYGNM4BnjwEu3H17ieBJnk8WhQOxh9LRZ0oDPnw8PA+8Z9S4deoYs+fkxvHD6DphMv8cNwOMMTerxs/PD+vWrcPXX38NK6t7ZcjEymPNmjXwr2HP5OzctKs7tVJFSCtFYxCVc//+/TA2pfkytuMV1D9eZYUSp/9OwPWTmVDW8UV852IuTm8FXHxt0XlUMIKiXdHUUObl3ROstBHpalC6fz9yv/0O7q/WX6qqK5atW6Nk926m41WTOe89qEu5rW5mLfwE1l270tZVLhRt417WXo08MREVsVdhFVW/sTIPT02u3r3K9AmJy4tDH2vTqADi0e9EMP3lV2qt9iuzs+/dvnSJXiaEI0c+6Gu2cOFCWmV36tQpsxTqzGV+JpdVQFbGtiKoWnirzxvsyO+/IPHieVRVqetswz3020oEtW2PXlNnwcXXD02NlGt5Wot0NSHHuvrawi9CDxdEXjFAwkF243m3ufdveT6w/XVuYynKgS2zgVm7yB8Pp6FunckGK+LPZqP35DA+BZZHI0jFsbyelGNdyM9Mh7yiHBZWfMhiU8ZYc7Nq2rVrhzt37tCKORKMRSD/T0S6oKCgeltfHyY+Ph5PPPEEzpw5g+DgYCxduhRNVqg7dOgQAgICMHz4cEjqSa1sqtRXMZwRX4A9P19DWeE9M96GyEsrxY7vryC8iyf6TA2HWNJ0PMBI+6qqoIDTGCSIwW7QQFgxuEgiK0hlJ06i/MwZWunHEtveve770tGkVY6oi4tR8PsfcH/tVU7jkNAOlsiuxvJCHY9GlCnKkCerO0BFV5KLk/lnv4lDWijIam2dX7DkNoGA3m/Xv79ePTNVKhU2btyIsrIy2gJrjjTn+VlDybJH//gVSoW8wf2IgJdw4SySYy+h19SZaDd0FJoK1VVxXDnwv+uYsqALJBYiJj7GxKe34tJlVF4oQ1WOK4QSNSwdFbByl8PWsxIa5is8iL0P4PHv4uK5n4EyBlYMqaeAhENASF9Or0FBZhlYQbp3CrPL4eRpw2xMnqZLQSbj9vWqKhRmZ8E9MJjtuDwmg6nMzWbNmkWT7KuFOuK3O3PmTDrf0QS1Wo1x48bBw8MDp0+fpr69DXnXmb1Q99lnn9EnjExoyZNGnkBiTmyK2DpZ0jQrZuPVESSReiMf25ddgUpRe5W2IW6eykJ5USWGz45pEulNlQmJKNmzh/tAKhUV63y/5ubbVrhpMw2z0MYzTlOsO3eGNOReG0Thho3MxiVJrW4vv8TpA49UwbGkkvF4PE0XpVppFmPymBbl584/0FJRi6oqej/Zz6ZzJ+aPHxsbS4U50k5ha2tLzYVbtWoFc8Rc5mcWllaQ2tigsoydcGHvUrtL4eSfa3Fi4x9ajaNSKHBw1Y+QlZai28SmYf1w83TW/VRXLpTmV+LW6Sy07umj8xhqmQx3l32PgnXroC6pOT+3oP8ty7IEbgBiayVcIkrh1KJcu0K29jNJEsZ/ARKsOL+Kk1BXlFvO3CqZF+p4NEWtZu8pplby87OmjLHnZtU89thjePvtt5GcfG/h/vjx47QdVlOhbt++fbhx4wZ2794Nb29vetsnn3yCoUOHwlzQSiWaM2cOrl27hi1btqCkpATdu3dHp06dsHz5choRbEq4+bONVnd/aDxSQbf7x6tai3TVpF4vwMnNbH1ajEXhX38yC2wo2bcfSh0r81TFxUh5+mlkvvOOXkQ6iMVwnzPn/o/lZ88yG5qkrcoTEjiNUcX4i1OvAR88TQpbiS0shPcutljhbNm0fSd4AGVuLtP9tCU8PByXLl2iK63PPfccpk+fTuc45og5zc88grh7ftXEPfjBFEziRaetSFeTk3+uoWM0Ba4dY1dNE3dU97FkN28iccxY5K1c+ZBIVxtluRjZ5x2RctAFSpmGlykO/kCX5+79f0HyvUAIViQf53R4Q8EduqJS6iGIg6dJYm3H3h/d2sGR+Zg8poOx52bVuLm50S6BVatW0YVI8v+urprbh12/fp163VWLdARz65rQqZyL/JIrV65EZmYmTd8gpYjkSTClyWBQDDsfOLKiF/iQr9zhtTepwS4XrhxMRVZCw8mo5kDFOYatpQoFZFeuaH2YqqQEKTNmouzIUegL1+eehVXkvbZcVWkpFGlsk+ZkN7i1p4gc2X5xip2cmI7H03QRCUUIcwpjOmYrF/OsbOLRHLGbG9P9tMXCwgItWrRA+/btsWjRIsTExJidf4k5zs9COnRhNpaTt+8DQRLEO2nvyu84j0vGIGOZM6Tl8m4qu86Su2mlOgUikLlN8rTpkCclaXVceY4UyQc0EOuEYmDMMkBqe+/nLLY2ILSFtqSB6pJGIKFyrLGy5dvbeTTDjbSocvRYrImlrR3s3diG9PGYFsaem9Vk1qxZVKgjgV/k/5sbnPouL1y4gMOHD1PFkrRYmJIviouPLbxD2QgXAVGusKvR+pqfUYbEy3c5j0uK0C7sNn8fJtmtW2zHu3FT62My338fMj1WQjhNnQq355+//3NjK8K6VgRywbJVBFgi9vpvBYKHpzG6erNbpXKzckOII9uqGx7Tw7pDe5ogVu9FhEBA7yf7GQLiZ1JZyb1N0BQw5flZ6979IbG8l+LGlTYDhz5gqk/CIcoKuKeIkjHIWOZMXkYp05ZLkjhKxtQGdVkZ0p5/Aeoi3Ral5cUSZJxuYC4vlADjfgSC7nkHUyr1IErLdF9Ut3e1gtRaK6ehRnFw5438eTRDam0NrxbsFlL9o/4NbOFpspjS3GzIkCGQy+VQKBQYPHiwVsdGREQgNTWVLlxWQwLDmrRQl5GRQft7w8LCMGHCBBqLS9pGyC9eHZ9rKvSYGAqhkNsqAvGQ6z7+wbaKayfYtRIkxeahvLhho2NThoQ2VDFME6qe2GkDMSUu2bkL+kBoZwevhQvh+d68B24XWFiwfyyplNPx1l3YVSkQsubPR8bb70Cl4wSbp3kxIWwChDo5gNdmfNh4iEmVBE+Thnhyerzz9r8/PPRd/e/P5H59mBUT35MjR44gKSmJetWRn4nvSbVpsTliLvMzqbUNekx6jPM4Lr7+iBk07IHbYg/u5Tzu/bH2s0uLNwYKmcroY+YsWQpFejqnxyzLtERhYh3vX9ewe4mskeMfvF3Efn4GMbf5mU842w6FtR+cogv9ajXfAsvTODEDH/yc5EKbhz5zeZoexpybPYxIJKILjsTag/y/NgwYMIDOh4ityeXLl3H06FG8++67MCe0uqoaNmwYQkJC6MTviy++QFpaGhYvXmyy5svEp67jiP8ifHWBiHSOHg+uXGXdKWK6QpmdZDotKdoiEAohYLxSL7SqHdzREHk/rgRryEqB6/PPI2THdjiOH1f7fhcX5q2mFv+GVOiKw+jREFgzXGVVq1G0eTMSRoxEhQ7tyJqizM9H6dGjNASkcMsWmtJLUuF4tEOlUiM3pQSJl3PpdjetBGqVbh6auuBt642JYRM5j+Nq5YrHIrhfxPOYB/aDBsFn6RKIPTweuJ38TG4n9+uDnJwcTJs2jfrU9e/fH2fPnqWGwwMHDoQ5Ym7zs7ZDR3GqzBBbSDH0+dcgEv83/5DLKnA3Wbv2yobITU026/ZXsR7CysRapL6qCgtRuJFN6Fb+jX/bWgleMcDIpcAzRwHfDrV3dmsJpkhs7nngcaB1z/o7FKqqlKhSV6CqSnNfYLlMRX2uNy++gIpS/S32kyCMOxdzcP1EBm6dzTL4vKKpQD5H0m7E4fbZU0i8eI6mphqSlt17w9U/kPM4gW3aw69VFJNz4jFtjDU3q/Nc7O3ppi1CoZCGhFVUVFDP3ieffBILFy6EOSGoqtK8MJ78wl5eXnB3d3+g1aCulouGIF4pDg4ONCZXlydeW47/dRuX9qZofVznUUHoMKy20LfixUNQ6hgiUffjBKPDsEDq/ZGVWEQvtmWlCgiEAji6W8E9wJ628poqiePGM2079f3uW9gNGKDRvpW3b1MhiRX2o0fB/ZVXIPHyanTflGeeQdnhI0wel1TohZ0+BSHHqofcZctw91vu/jwPI7S1hf9vq2DV+p5HH4ugiqKtW1GwZi1kcXG1dxCJYNujB5weewy2PXswecymSuq1fMQeTkNKXD5USnWtiuCASBdE9faBb0v9hzOUK8oxYdsEpJboZuQtgABL+y5FX3/dE/Z42GKo7+sqlepe0lhuLvU9IS0VhlitbSqwmJ8Zem5GhLXNn32AtGtXtTpOLJVi9BvzEBjd9oHbM27dwNr33mB6jpM/+gLeYRHIKZHhYkohbmSWoFyuhKVEhHBPO7Tzd4Kng3aLi4aislyBn15j6NsrAJ78qhekVppVO+f//geyP/6Y2cMHfvUmrPqOAawaqU5TKYHPAgC5dm269RLQA5i5ndMQ5FJry1cXkRFfSH9WK3OgksdCrUhDlZq0av97KSa0h1DkBZG0FYTiwAb/lqtx8bHB2NfbQWrNZtGcCH9XD6fTIJK6EoMlUhHCOnkgup8fnL1smDxmU0SpUOD6sYO4sm8Xsu7E1wrds7SzR0T33mgzeAScvXVPU9aU7ITbWPv+HJpurQuWNraY9sV3sKsjZZvHOBjiO5ufmxkXrXqL3n//fY2+NEwNUhXnEWiPI+tuoqKk8Q8oGwcL9JnaslaARHUFHEuRjlBWVEnDKW6ezqq3rYB8EUf39UNENy8q4JkSVm3asBPqBAJYRkVrvHv5xYtgibqwSCORjuA4ejQzoc5u8GDOIh3B9emnUbJ3Hyo5BlM8jLq0FOmvvYbgv/+G0JLbRYns+nXaUtvgOapUKD18mG52gwbBc/77tIqR58HPjUN/3ETSlfr9MkkqdcLFXLoFt3FD7ynhsLbXQ1vQv1hLrLFiwArM2jMLWWVZWot0b3V6ixfpmilElLPp3MnYp2G2mOP8zMLSChPe/RinNq3HmS0boFY13lbpFRqOwc+9Ahcfv1r3KWQy5ucYl5yL90+W4eDNHKjqaDMkT3nPUDc82ysY3VqY1gUsEW6cPK1RkMWmKtDJw1pjkY5QwXh+Vp4jgFVjIh1BJAaiJgDnV7F54DaTOQ9B/jb7TYvA2g/3o6JgD9SKhLp3VBdDTTbFTQiELpDYDIZQ7Nng2HnpZTiy/hYGzuS+kBp/LhtH1t2ixQL1QYoKSALw9ROZaDckgBYaiETsqzfNmcz4m9j1wxLkp9e/aCkrKcbFXdtwee8OdBozEV3GPQqRWH+WHx7BLTDilbfwz9eLoFIqtbYrGPvWAl6ka4bwczMzqqhjhaFXbWuuLpIvFrLlZ5bdX8Cqnmw5+9iiVXdvtOzqCQvL+j8sWVfUicQCjaPWvUIc0H9GBBzcTMdItuJqHJImTGAylk3PnvBf+aPG+2ct/AQF//sfWCH28kLowQMaV4XdGTqMe/qrUIjA9ethFRXJbRwygcrOQcrMmZAn1DMJ5IjL00/D/bVXdT6etLimvfgSqrS8oJJ4e9OKPgu/2hdnzRFi6L11ySWt/S1tnaQY9XIbOHnqdxU8uywb80/Ox/H04xrt72Lpgve6vof+/v31el485vN9zdO8XuuCrAxc3rMDN04cqRUGIZJI4BsRiZiBQ9GiQxdquVEX+qio+8t7LDKkDQsl1Tza0Q/vj2wFawvT8dckPmakRZIF3ca1QNtBmreAJowchcr4eLDCYexYeC/6RLOdc24Ay7uT0jVuD2rnBbx0EZBwX0hNvRaLzZ99BIVMG+FUALFVb4gt2zW656iX2sCvle6V86e3JeDcdu1bx/1bO2Pos1EQS/gKaML144exa9lXGi08PPA8RkZjzJvvQyLVb4Vu+s3r2P3D1yjIzNBY4CM2A8QTlMe04OdnTR+thDonJ6c6V2zJxI6Y9b3xxhsa+buYwhurskJJ01uVlSpILEVw9rZpUJyrycZFZ5GTzD71U1Os7CQY/WpbuHibTjts8vQZKD99mvM4/qt+hY0WoQgZ8+ah6M+/wAoReS+f1jwRpuzUKaTMnFWrpF0bnKdPh8fbb4ErJPQh6dHJkCcmQl8IHRwQeviQTlV1pOoyacpUrUW6aiT+/gjatAki2+bdakEq6TZ8chblRbr50hCx7pF3O8LKVn+VddXsTtqNNdfX4ELOhXr96MaFjsPjEY/D0ZKt5yMPG0zh+5rHMPMzU3mtS/LvojAzAyqVCtb2DvQCUZNKk8rycnw3axKn7+OakFFWBDwBhVDzz8p2/o743xOdYSM1DbFOVqbA7++fRGUZN8HK0kaCqR92of9qyu0BA7kvZNbAbsgQ+C75WvMDDnwMHPmC24NOXg+ED2FSYbXho3eg1DFVWmw9AGJpw90m/q1dMPLFGJ3Gv3o4DYfX3oKutOjgjsFPcl9sNneSrlzEpkXzadCeLgS364ixc+dD3yjklbi0ezuu7N2Jwuz/EjFr4uYfSNtyI/sOhJC3oTBJTOU7m0d/aDWTWLJkSZ23FxYW4vz58xgxYgT+/PNPjBzJzjNMX5DyfVKdpgueIQ5GFepI++4/317Go+931qoNQZ94ffQhEkaP4ZQA6zhxglYiHUFoxbayUGCj3XjkfF1ffAF3v/lWp8ez6tAebhwq1GqS9fFCvYp0BHVREUoPHoT90KFaHUeqD0m7q64iHUGRkoKczz+H14cfoDlzeM1NnUU6AvGcIa0thphUDw4cTDdSYReXF4eU4hQoq5RwtnRGhHMEQp1C+XRXHh4GNKX5mZ2zK920RWptDVe/ANxNYRMokSdx1kqkI1xIKcSr6y/hx2l1hBwYASKs9XwkDPt+5WZP0vPRUK1EOgILO48HxtM2LKv3XCD9PHBHsy6JWnR/mYlIp6iUYce3i3UW6QjK8oMQin0gFNVvAZJ6LY9W2Wtrb1GYU069vLlw+1wOgttkI7TDg8bzzYnK8jLsXr5UZ5GOkHDhLPW0ix7A/X3XEBILKTqOHIcOI8YiPz0N2Ym3UZqfR++zd3OHZ3AoHD01swHi4eHRH1qpPCTetiHatGmDRYsWmcVEkAukPfbKAXarhLpebB/fGE89L0wBC39/eC9ahPTXX6f+YtpiGRMNj7ff1v648DCtj2lwvLBwrY9xmz0bQgsL5CxZCmjh+2Dbpw98vlwMoVQKrpSdOo3ibdtgCCquxGot1BX9/Tcqb97k/NiFGzbAecYMSIO5pTmbK2k3C5B4uX5POm0m1TH9iuAZrNtihbZ42HjQjYeHRz/w87N7RPYZiEOr2STBX7PTLT10z7VsbLmYjjFt9W8QrwnhnT2RnVSM2IO6zVuj+voirKNm7b81kYaHM219lYaFaneASAI8uhbY/DRw7W/NjxMIgV5vAn21n5PWxZktG+utWtIcFZTlB2BhV3+yOikkzUkuRmCUdiL3mW2JUMq52/mc2HQbIe3cITQxH21DcW7bJpTmcZ+fHV2zChG9+lIxTd+QKmwXXz+68fDwmB5M3T/Jiu0Nxib2pghJYCVJisbm+slMFOXqXsHGGvshg+G7dAmEWpbf2vbuDf+ff9Z+tZRUpLV9MPWNK1btGvcBqQuXJ59E4Lp1sIxuPAhD5OYKr4Ufw2/5DxDasGnjzP+dnU9fY1QmaO93Q9JdWVGwjt1Y5sbVQ+wWCGIZjsXDw2PaNJf5WWTfAbB24N5GXy60wnUdhTrC1/tu0aRPU6HXpDBq+q9N3gjZlxxDjtUFq7ZtwBJrXeZnEkvgkdXAuJ8AO+/G9/eMAmbtZibSqZQKXN63i8lYamUq1KqGhSBtg0MqSuS4czEHLCjNr0RyLHehyhwh4QxX9u9mMpasrBQ3jh9mMhYPD495w1Soq6yshIWF/n2PTAGSnmhhaWTj1Cog7mg6TAm7AQMQvG0b7IcNBRrxNBB7e8Fr4UL4rVgOka1ufnvSkBCaOssEsRgOY0brfLhVZGsEbViPwPXraNWXdYcOEHt4UGFO2rIlHMaPg8/XXyH0wAE4jh/P5pzJ5K28HKUHD8FgaBntrszLY5cKTKoHjxxFc0StrkJy3L3WBBYkX2U3Fg8Pj2nTXOZnJJ1wwBOzOY9zyLUX5ELdK1qS88pxNN60RIvOo4Ixbk57uAc2vpjqEWRP9yXH6IrDiBEQcEyJr0YaFgYrDRZC6yV6IvBKLPDI/4B20wDPaMDW415YhH9XoPNz9wS6Z48BfuzSp1NiL6OiuIjZeCp5w50JapV2lXGpN/Kh1jDMThOS4x4MgmkuZN2+hfKiQmbjJZw/y2wsHh4e84WpwdnPP/9M21+bA3bOlhj4RGvsXBHL9EtOW9JvFsDUkHi4w+err+CelYXiHTshuxqLysQkQKmAyMER0lYRsOnSFba9e9HYZxZJpGmzuU/MHUaPgsTdnfM4VjExdDMUsuvXdWo31hWhnXYVk7K4OKaPL09Ohqq0VGdx11wpyCxj0p5STWW5EkW55SaVIM3Dw6MfmtP8LLRzN3QaM5G2HOrCeYe2uGOju0BVzYk7eegV5gZTgtgdTHyrA22RJDYKuSklKMmX3Z/XuvnbISjGFe4B9kzCuZwmPYL831ZzHsvlqSc5jwGRGGg16t5mILLusGv9JVQpsxq8X1vf6lzGftu5ycVojhCPN1Mej4eHxzzR6hP9tddeq/N2kjZy4cIF3Lp1C0eOHEFzgfhAjJgdg72/xtGAB2OQl15GK22M6QlBHl9eoYRAKHhgkiDx9ITLrJl6f3y7fn1hP3w4irdv13kMsbs7PObOhTkiT04x6ONZRmjni6jMZVxVUFUFVV5esxPqSNor8zELK3mhjoenCcDPzx6k5+TptLru+PrfoVZp5h1bJRDhhGNHXHBkY6kRl8GukkpXlAoFDTMQSySQSP+rbiNCHAsxrjHcXn4ZJQcOQpGaqvMYxM/XwUy9rwuzMpiOV6VuuGrL1c9Oq/FI+ARLWI9nLlQHMZjqeDw8PM1AqLt48WKdt5NI4IEDB2LTpk0ICmpeJu9+rZwxZX4XnNh8G7dOZ0OlrL/ixdHDGm7+tog/y8YPgkAeT1GpMnj6K7nAJ223KdfykZdWCqXi3u9NUsHcA+wQ0t4dYR09ILYwTHuw5wcfQJ6SAllsrNbHEp843+++hchMo62rNLwIYYV1Jy3bQoRMO+z1N6aJI4A+xPjmafrMw9PU4Odntek0egKC2rTHodU/IeXq5QafP//IaOyx7YwL2ezmUgXlxhEtshPvIHb/LqRdj6OJjlVV9+Zn9m4e8AoNR2Tv/giIaUeN5PUN8R72/e47pEybBlWR9sKlNLQFvBZ9AnNFzSEBtC6qUP94FlZiuPppt4DJ+j1giPeUScI/jzw8TYYFCxZgy5YtuHTpknkJdQcPHtTfmZgxlrYS9Hs8Al3HhuDOhVzaUlCYXQ61qooKV+SL07elM3zDnXBxTwpToY4gEhnui1GpUOH01kRc2Z9KK+keRlamoOId2U5uvoMeE0Np4pi+EdnawP/XX5Dx5lyUHjig8XESf3/apkv85cwVsYvhgk2IT4x1O+2qDSx8GSffSSTU+6+5YevMPgHMzoWNfxAPD1fI90lmfCHKiithYy+FV6ijwSrFP/30U7z99tt4+eWXsWTJEpgj/PysbtwCgjDxvYXIS0/FnXOnqYhVkpdLK7PtXNzgEdwCIR06w8XHD9t/PQNk5zJ7TSQiwy4oleTfxd4fv0PixXN13l+cm023myeOwM0/EIOfe4X+/vrGMjwMAb//D2mvvAr5Hc3DqGy6dYP3l4shdnKCuWJtzzZZXSCo36qiZRdPiCXaLY7bubKdA9gzHs9csHd1N+nxeHjMaW6Wm5uL999/H9u3b0d2djacnJwQExNDb+vevTv0zRtvvIEXX3wRpoBhy7CaOFa2FojsRUSJ+oUJR0+2flC2TlKDVa2VFlRi27eXkJ9RptH+slIF9v16DanX8tFvWksI9TxpJa2Qft8vQ9G2bbj73TLqZVYfQjs7OD4yEW4vvAChlRXMGctWrQz2WK4vPK/b+ZEKOEYry5ahoRA2A1P0uipyJZYiKGQqZgsMxJOIh8fYkNTBo+vjaaV2NTaOUvScFIqQtvq9YDl79ixWrFiBaC5G9TwmDxHiyNYQwa62OHSTnVBHxjMUKVevYOuXC1FZrtn8LDclCWvmvY6+M55Bm0HD9H5+0tBQBG3ehLzly1Hwx5oGq+skvr5weeZpOE2cCHPHPSiE6XhCUd2fh2Ru0Gagv9bjeTBuf3YzQDu1KeIRzPZ1djeAgM7DY6pzs/Hjx0Mul+O3335DcHAwFev279+PvDzDtITb2trSzRRofv1jRoa0hbLsNvPQIL2LBUR02/L1BY1FuprcPJ2Ffauuw1AQL5PgXTvhv+pXuM6eDdt+/WDVoT1dnXV6/HF4f/E5Qg8fgsecOWYv0lV7AVqEsJ0k1AVJ8rUfNEin1mKbHuxWQOyGDEFzhLSUEJNvVgS3MS2Tc57mOxHcteLqAxNBAvmZ3E7u1xelpaWYOnUqVq5cSVdseZo3MX5sq5/aMB6vPjJuXcfmzz7QWKSrRq1SYf/P3yP2wB4YArLA5vbSS2hx5DB8vv4KztOnw6Z7dzo/Iz50Ls8+A7+VKxGyZ3eTEOkI/pExEDC06hBKAuq8vfv4FjotvPm2dILUml3NRot2zbMSjFSm2rmym1OFduzCbCweHnOamxUWFuLo0aP47LPP0LdvXwQEBKBTp06062HUqFH393nyySfh5uZG7df69euHy5cvP9C6SsKzyCKsn58frK2t8cgjj9BMhWoOHTpEx7WxsYGjoyOt1Ev+t8Cn+nhN9tU3fEWdgbFxkNIW2LQbbNJawzrpv62UcGTdTRTlVOh8fPzZbPhFOCOimxcMJWrYdOlCt+aA06RJyP5Efz4uVu3bw+vjj3U+3vmxx1B25Cjn8xBYWsJxwng0V6L6+FIvTBZE9mbckszDo0NLBVmtbYhjG+IRFOOml1aL559/HsOHD8eAAQPwMYfPN56mwYAID9hJxSip5O77aiESYliU/uc7clkFdny7GEq57mFDB35dAZ+WreHsbZjvBKFUCvuhQ+nW1LFzcUVwu064c+4U98EENhBKaldatRngh9Y9dXvtSEdORHdvXNqbwqQQwSOoeVbUCYUixAwYimPruCcc2zg6IbSz/tv7eHhMcW5WXc1GPOK6dOkCqbS27c/EiRNhZWWFnTt3wsHBgQpy/fv3p6Gmzs7OdJ/bt29jw4YN2LZtG4qLi/HEE09g9uzZ+OOPP6BUKjFmzBg89dRTWLt2La3eO3PmTJ0em9rsqw/4ijojENOv4fYLbbwgAhlW2NRH6vV8xJ/jrpwf/zMecplhgw+aC44TJ0AS4K+3sf1/WklNoXXFtlcv2Pbvz/lcXJ9/HuJ/P4SbI55BDgjvwl2cb9XTG25apsPx8LCG+p48tFpbl+UC2Y8169ato2n1ixYtYj42j3liIxXjkY5s5mej23jDxZa9r+jDnN60HkU53BZviMh34NflzM6J50G6PzIVQhH3ugixVTcIBP9dtokthLQFrfuEUE7jdhgWSG10OCEAek0OQ3Om3fDRcPLiLnb3mf4URGK+joanec7NxGIxVq1aRdteHf+tXnvnnXdw5coVev+xY8eoULZx40Z06NABoaGhWLx4Md33zz//vD+OTCbD6tWraWVcr1698O2339J5X1ZWFhXuSHXdiBEjEBISgoiICEyfPh3+/rWvo7XZVx/wQp0RCIx2RUg7jiXSAqDvYy0NYrZ95UAqk3Eqy5W4eSqLyVg8D0JaeL0XLiSfcMyeGusuXeD/y8/w+ugjJi3CXh8sgNibW4XB3W++QdKjk1GwcSPUFbpXeJozPR8Jhb2b7q+Hk6c1bZPh4TE2xJyY5X6akpqaSoMjyMqqpSXv08jzH68ODIOPI7fvO1dbC7w9LELvT6tSLscVRm2ryVcu0sANHv0EmnSbOIXTGEJxEMTSKPr/IomQLthNmtcJ0X25C8tSKzH6z2gFoZjD9UQVsHXpZez44QqSr+ahqqp22FxTR2IhxdDnX4NYoruHckTPvmjZrRfT8+LhMZe5WU2PuoyMDGzduhVDhgyhraft2rWjAh5pcSW2JS4uLver78iWmJiIOzXCioiQ5uPzn3DetWtXmsJ98+ZNWnU3Y8YMDB48GCNHjsTSpUuRmZlZ57los68+4IU6I9FnSktqDq8rHYYG0iRZfSOvUNIvXVbEn2PTtsdTG+sOHeD96ac6iXWkpdRuyGA4z5oF788/Q8jePQhY9Sv19WOF2NUVAatWUaNoXalSKFBx6RKy3nsfd4YOQ+lR7u205obUWoLRr7SBgw5iHRHpRr3cFhaW/Gotj/EhCWIs99OU8+fPIycnh078yOot2Q4fPoxvvvmG/r9KxSawhcf8sJWK8c3kNrDSMj2zGolIgK8eaQNnG/0HHiXHXoSspJjZeCQNlkc/dB77CGIG6hbaYeMciOhBT6LD8EAMfTYKMz7tjgEzWsHRnV04HbHkGfJ0FMQSIafrhcTLd/HPd5ex+csLKMwuR3PDKzQco994F+I62vUaI6xzdwx+9mW9nBcPjznMzWpCFlEHDhyI9957DydOnKBi2fz586lI5+XlhUuXLj2wEQFuzpw5Go//66+/4uTJk+jWrRvWr1+PsLAwnDp1ivO+rOGFOiNBEhfHvNoWrn5apooIgI7DA9F5VDAMQW5qCVgujOWmlqJK3fxW2gyFw4jh8P/5Z0hqrCI0hnWnTgj+5x/4LlkCjzfnwGHUKFj4sWn/eRgLf38EbdkMBwY+c8qsLKQ+9TRyly1Dc8PexQqPvNMRrbprWKEoAE2knvBWB+4tLjw8jPAKdaQJYg1B3q9kP5YQL5PY2NgHJnmkhYIES5D/F4kMk6TOY5q0D3DGrzM7wslaotVxxN9uxePt0SvMMEE9WXduMx6vYU8iHm4MeHI2+s18BhKphlW8AgFiBg3HE0sWo//0GHQeGUxDoCxttHtfakpQtCut0vMM5h6Cknm7COsXnkFKnGFSGk2JwDbt8fin38A7TLOqWvJ+6D/rOYx49S2+5ZWnWc/NGqJVq1YoKyujC6ykfZUsqrZo0eKBzdX1PzuwlJQUWpVXDRHWhEIhwsPD79/Wtm1bGlJBhMDIyEisWbOm3sfXZl+W8GUVRoT8EUyY2wHndiTh4t4UqBTqRqth+kxtCW8D/mFwCZCoC2WlCmVFlbB14tuN9IVN504I3vo38v9Yg8L166FIT69zP6uYGDg99hjsRww3mCkmQWRrC++PP4bLzJkoWLsOpUePQJGsu5Hx3W+/o8myLjNmoDlhYSVG38cjENXXF7GH05F0+S7Ki+UP7GPtYIHgGDcaHOHiYxpR4zw81RDrBuKxRBLE6qPHI6HMLR7s7OzoRKsmJM2LtFI8fDtP86RLsAv2vNob87dexc6rWY0uWPYNd8PCsVHw5tg2qw2FWRkmPR5PbdoOGYngdh1x7p8tuHbkAOQVtavOhCIRQjp0RvvhY+ETrv8W6pqQTp9xc9rRwLu4oxnIuF2IiofmFZqilKuxY3ksLUpgIf6ZEySY5dEPPkPi5fO4vHcn0q7FQl7TrkUggLO3LyJ69EF0/8GwdjDcdR0Pj6nOzQh5eXk0LGLWrFmIjo6m87Vz587h888/x+jRo2n4F2ljJQEP5DZS3UYEue3bt2Ps2LF00bW6Io94yRH/OuIz99JLL9HkV09PT9om++OPP9IUWW9vb1qNFx8fj2nTptU6H2321Qe8UGdkRGIhrY6L6e+HGyczkXq9gFaxyUrkEIgEtLTd3d8OoR094NfK2aCCSnXyC2sKsst5oU7PEOHK9emn4PLkE5AnJEAWFwfl3Tzy6QsLP19Ytm4NiZdhEnjrQxoSAs9570KRMRMJI0dBXVam81i5X34Fm67dYBne/MyMXX3t0HdqS2Dqvdj0kgIZvd3O2ZKmTJs8ajWQEwdkXAKKM+gEFg6+gHdbwK3lvZ95miwhbd0x5JlImjBW07yYrNaSiSC5n4fHGLjZSfH91PZIvFuG9WdTcT45H9czS1AmV8JaIkKYpx3a+TvhkQ5+CPc0fDiPmnGLdmV5OcoKC2jqJI/+cHD3RP9Zz6L3Y7OQm5yInKQEKtiJJBZw8fWDR3ALWNoYb2GNXGf4RTjT7c7FnAYv1huDFCDsW3UNj87rRBNmmxMCoRDBbTvSrUqtRkFWJmSlxRCJJXD09IaUQ0CboVDLZPT6QXbtOlRFRRBIJLAICoRVdDQkntyDzXhMF2PNzYjfXOfOnfH1119TzzmFQgE/Pz+aukpCJcjn044dO/Duu+9i5syZyM3NpeIbCYzw8PC4Pw6psBs3bhyGDRuG/Px8Ggbx/fff0/usra1x48YNGlhBhEHSSvv888/jmWeeqXU+2uyrDwRVRnD8JMomidMlKRr29s0zyttc4PolXR8kwr3NAH+0aM9fhDV30l9/A8Xbt3Mex7prFwT8+iuTc+IxAPJy4MwK4NwvQGE9FZUuLYCOTwIdniARd/zLYgQM9X1NFoVo0lhxJfU9IS0VhghL4vkPfm5mXuz/5Qdc2s39u7NWNVf7ztRTjQhGPM0XtUqN/807SdMdudJ5dDD11uYxDxQZGcj7+RcU/f031KWl9drmOM+YDrt+/Qx+fjyG+842x7nZggULsGXLFmplYu7wFXU8DeLmp59V4uzEYuxeeRW3zrii7+MtYWXLX4Q3R5R376J4D5vUuvKTp1CZkABpsGH8G3k4kHIa2PIskJ/Q8H55t4FdbwEXVgNjlwNeMfzT3kQhEz+fcL6Sh4dHU9yDQvRSpRd/5gTunD+NjqMmoNsjUyAUNq9KKJ57JFz6f3v3AR5F9bUB/N2a3ntCEnoIvVfpTZqCKB0FAQX1s/eK5a9gb4gVBZFioYggKlIE6b33GiCF9F73e+6s9JQtd5Pd7Pt7nnkIycyZyWxgb87ce84lKUk64cA/59Gyb7Td/4JPQOqPPyJx+tsVrnLJ2bpV2bx690boa69C68f37+qIY7OqxWYSVC7vQDf4BNuu5oroELX43Z031dYi55C1di1QWCgtXuaff0mLRTZyeAUwe2DFSbprJR4EZvUDTrErIRGREN24OVQq2wzjRcJuy+KFWP7xuygpYRdkZ3Ryd5K0WCLhl3haXodiso3Ed99F/MuvmFWKJvOvv3Bm5CgUJiTyZSGSjIk6qpDoFmlLqfE5WDFzr03q4ZF9yz1wQGq8vAPyl2mTRBf3Aj+NA4otSMwXZgPzR5qX4CMiqqa8g4JRs3lLm57j6Kb12LDge5ueg+xT0tlMu45HcqXMm4fkr7+x6NiC06dxbvJkGCQ+eCeyZulrdVj2KjBRRxVq1DkC3oG27dIqlsLuXmV5509yTGV1pLU8HrvWlaagqAT7z6fjjwPxyrY3Lk35XKUqLgKWPgAUW7GUpiALWPoQKmzBSETkBDoNH6vUlbOl7csW4eKxIzY9B9mfzGRjYypZMiTHqy6Ks7KQs20bMv76C5mr1yD/5ClUdvn4gnPnkPjue1bFyD90CJdmfi7tmoiINerIBDoXDXqMjcXSj3bDYMNZbzv/OIOm3Wo4XWcopyb5x8kgO6CD23DsEuZsOo21R5NuSszpNWp0qR+EsR2i0bV+kO0v5sBiIH6f9XHO/Asc/xuo10vGVREROayQWnXQbshwbPp5ns3OITpWbvplPu54dqrNzkH2R/p4ig/Yrt6KggKkL/sNqQsXIm/fvpvujdrbG979+8F/9Gi41KsHW7v0xRcw5ORYHSf522+VBhMaNookkoLNJMgkosh3z7sb4O85h22WrMvPLsLxnYlo0D6Mr4qT0IbI7fqrC77amtuZJWbm4YXF+/HXwYQy9ykoLsGqQwnK1qNBMN66owlCvCXMnD23DTj0K3BhF5B+zjgA9QoF0s5Amu3fMFFHRASgw50jkZWajH1//2Gz+3F6905kXEqEd6Dc92yyXx4+LlJn1Xn4ukiL5chy9+3DxeefR/6x42XuU5KRgbQFC5H2088IGD8OgQ8/DLXeuqZ7hqIiZK5ejex/NyLv4EEUp6QAGg104eHI2b7dqthXzpGbi/QlS+B/991S4hE5OybqyGQx7cPg7uOC1d8fQlaKnE5QNzp/JJWJOifi1qgR0n/+RVo810aN4OyOJ2Zh9NebkZBh+r/R1YcTMfCTDZg7oR1iQi3s9By3HVjxpDFBdyOZSTpBNJUoKRHtqOTGJSJyMCqVCr0nPYSAiChsWDAHRQXyx2cGQwniDu5Hwy49pMcm+xQc5SU1URccbeHYohrJWLkS55962vQmasXFSt24nJ27EPnlF9B4elp03rRFi5H00UcoSrj54W3hWbllh7I3bmKijkgS/pZDZomM9cfIl9qh3e214ekv/+lY0tksviJOxKNzF6nJFs9uXeHMkrPyMebrLWYl6S5LyszHmG+2KLPxzLZ2GvBNn9KTdLYgatWlnKiccxEROUCyrtWA23HPO5+iWZ8B0Lu5ST9H4mn+n+tMopsESovl5qVDSE0fOLPsLVtx/smnTE/SXSN3507E/d//mV27TnRvPTflAWUGX2lJOlsQs/WISA4m6shsejctWveribvf6IjoxgFS72B+DjsGORN9jQh4dukiJZZrkyZwa9IEzuzlpQcQn2H5E3CRrHt+kZmdc/98CVj7FmAoRqXKSa7c8xER2Tnf0DD0mjAFU778Aa6ecmcw5WXxQaozqdc6GC4echZexXYMg0bnvL9yioSZSJahqMjiGDmbNiP1e9M7MJfk5eHsffcja80aVKbi1NRKPR9Rdea8/2uS1VRqFdw8dVLvpFrLH0lnE/zE41BZWXtDzMoLefYZOLPtp1OwfN9Fq+OImnUbT1wybefDy4GNH6NKqFm5gSw3depUZRbStVuDBg14S6la0Or10LlIqDl6DbWW/+c6E9HYrcPgOlbHcffRo0WfaDiz5NmzUXj+vNVxkj76GMVZ2Sbtm/je+8jdsQOVjv9PkJWSkpIwZcoUREVFwcXFBaGhoejbty/+/fdfp7u3zIqQVXxD3aXeQT/J8cj+iY5WQY8+alWMgHvHw71VKziz7zfLqwP3/SYTYhVkA789hirjX7vqzk3SlZQU49yBvTj07zrlT/F3W2vUqBEuXrx4ZduwYYPNz0lUWfwjakiNFxARKTUe2b9GnSMQ3cTylTMqFdB9TAO4esh9qO9IDMXFSPvxJ2kz89J/XVrhfrl79iB17lxUBX3NmlVyXqo+Y7OhQ4di165dmD17No4ePYpff/0V3bp1Q3Jy1a2kKSgoqJLz8vEYWSWkprddx7MrySeAQ8uMdbxEcf3L3TDDmgP1+gA1nDfRJBJtYrp88ldfmX2sz51DEfTEE3Bmom6JaAghy9ojSSguMUCjVpW9096FQFbl1Dy5iV9NwN2/as5N0h3bshGrv/sSWSlXZ3J6+geix7j7UK9dR5vdca1WqzypJaqOQuvUx5m98uqGhtSph+pKdL3M2rDB2A0z2dgNUx8ZCdfGjeHdt4/SGdNZ9Z3UGMtn7MH5I2lmr7rpMbYBakqsdeeI8g4dRlF8vLR4WWvXwn/UqHL3Sf7uO+PvGFXArTGbulUXVTE2S0tLw/r167F27Vp07WqsOx4dHY22bdtet8+TTz6JpUuXIj8/H61bt8YHH3yAZs2aKYm9mJgYHDp06LpVEuLrn376KU6cMNZa3b9/P5566inlXB4eHujTp4+yT2Cg8f8rkRhs3LixMk6cO3cumjRpgjVr1lR4nGycUUdWCa/vB08/SU0lVED9ttXwl6ZLx4C5dwKftAJWvQIcXGJM1l3cDRxdCaybBnzdA/iiK3BqPZx5CWzEB+9D4+dn0v5qDw+Evvoqwt94Q1m25szOJOcgM8/y2ic3yi0sxomkCuoR7Z6PKtNkWNWdm6QPBH99/83rBoKC+Lv4vPi6rRw7dgzh4eGoXbs2Ro8ejbOSu98RVaXYzt2kxfIJCUVETENUN1nr1uHkoNtwZsxYJH/+BbL/WY+8AweQt3cvMpYvR+L06Tjeu49SyF/G0kVHpNNrMOj/mqN1/5pQl/fw7ho+QW4Y/HgLNOgQBmcnfp7kxiu/WUNxVhYyV/2NquI9cFCVnZscf2zm6empbEuWLFGScKW56667kJiYiN9//x07duxAy5Yt0bNnT6SkpKB+/fpK4u6HH3647hjx91H/JbhFoq9Hjx5o0aIFtm/fjpUrVyIhIQHDhl3/u4WY0afX65Ult59//rnJx8nERB1Z9wOkVqFpdznLIWo1DVTe3KuVbd8An98CHP9LzHsqf1+RuJs9CFj5nJhrDGfk3a8faq9YjqDHH4cuKqrUfbShoQh8YApq/74CfsOZsBGsaSBRlvj0cmIWFwIX96BKaF2B1uOr5twklVhCIZ7WlmfN7C9tstSiXbt2+O6775SB1syZM3Hq1Cl07twZmZmZ0s9FVBXEUtVazeXM1G/Z77Zq9UDMUFiICy++iHP3T0b+sWPl71xcjMy/VikJvfRly+CMNFo12t1WGyNebosm3WrAxb30BVmBkZ7oNjoGI15qi/C6vpV+nfZIdrfV4uRkGMppSpG3/4BFnWVlcGnQAB7trs58IsdUlWMzMYNNjM1EkszX1xedOnXC888/j7179ypfFyVKtm7dip9++klJyNWrVw/vvvuusu/PP/+s7CMevM6ff3UygZhlJxJ64vOCmFknkm1vvvmmMutOfDxr1ixlxpzY9zIR++2331Zm6InN1OOk3g+bRCWn0qxnDRzdFo9L5yzvCKZ31aDz8PqoVjZ+Avz5opkHGYDNnxk7Wg75wljgw8lo/fwQeN8kZStKSkLekaNKXQ61mytc6teHjkvVbmKLn5Jyf/RSTgLFpT/psrnuzwPezrsMqTo5f+jATU9rb5SZfEnZL7JRU6nn7tev35WPmzZtqiTuxPKKH3/8ERMmTJB6LqKq0nPCFMx+8iEU5lv+MCe0Tj007zsA1YVIcsQ98iiyVq8267iSnBxcePoZpZum3113wRn5hXqgy4j66Dy8HtITc5GakIOSohKlBp1I0rm4O28tujLZYhxfTsz848dRJTQahL32atWcm6rN2OxyjboBAwYoy0s3b96szJwTCbOvv/4a2dnZyMrKQkDA9bUzc3NzryxrHTFihLI0Vhzbvn17ZTadmHV3eSnsnj17lOSamLl3IxFDzMoTWt1Q+9zU42Rioo6sptao0WdCIyx6dyfysgoter/pcXcsvPzldiirUqc3AH++ZPnxov5XeEug/WQ4M21QEDyDgqr6MuxehJ/8magRvuXELJI/g88kdXsDHR6qmnOTdFlpqVL3s4Z4GisGWcer6pccIhvwCQ5Fn8kPY8XH78JgMH+mvruPL/o//BTUak21eX0uff6F2Um6KwwGxL/6GtwaNYJrw+q3FNhUYnalb4i7slH5ZNc31IaEQKUp+9+joYzlgrYW9OgjcGsqP2lDzjk2c3V1Re/evZXtpZdewsSJE/HKK6/ggQceQFhYmFLDrrRxnCBqD4slqvPmzVMSdeJP0UX2ynVnZWHQoEGYPn36TTFE7MtEDbprmXqcTEzUkbSnbIMfa4HlM/YiM8X0X+K1Lhr0vDsWdVoGV59XoqgAWPpgxUtdK/L3q0CDAYCvg3Ray0kBTv1jXBKZlWjMwIqi/+EtgJqdAa2+qq+w2qrh5w5/Dz1SsuV0JfJy0aJW4PVvUNdxqYKmLzEDgDtniScDlX9usglPXz+p+1lDDMDEE9GxY8fa/FxElalBxy5Kw6E/v/gYRWb8Ei/q0g15+hX4hVafGcxittGlL76wLkhRES48/wJqLV7kMMuBU+MvKLNfks6cQn5ODrR6HQJqRCGsXgNlxiTZjmhIIjVeo/KbNai9bp7tY1NqNYIeeQSBkyZV7nnJKcZmlzVs2FCpWydmxsXHxytLZGuW02FYLHN9+umnMXLkSJw8eVKZZXeZiPHLL78ox4s4prL0OGswUUfSBER4KvUrNi46gUMbLqCkpPxEVWSsH7qNbgDvwGpWl+7gUiD1tPVxCnOArV8CfV6HXUs5BaydBhxYXPZySI8goOU9QOfHAX05CSCyWN9GIZi/9ZyUO9i7UUj5v4CIBKxI1uVnwOZcfYDerwOt7rH9uahSRcQ2UjqIlbfEwisgUNlPNrEsQjwZFctdL1y4oDyp1Wg0yqCOqLqJ7dRVScis+upTnN1vrPVTFrVGi6a9bkWXUeOgc61GKx0ud8OUUL8r//BhZG/YAM/OnWHPzu7fg82/LMC5g/vK3Eck7FoNHIzG3Xo7TOLRkbjUrwd9dDQKzpyREs+rd+9yv+56TadLW9PXro2wN16He8uWlXZOqt5js+TkZKVZxL333quUJfHy8lIaN4ilr7fffjt69eqFDh06YPDgwcrnxEoIMYZbvnw5hgwZotStE+644w5lFp3YunfvrjQOu+zBBx/EV199pYz3RDLP399fWU2xYMECZXmtGAuWxtLjrMFEHUmld9Wi26gYtBlQE4c2XsTFY2lIistCQW4RtDo1/MM8EFzLG7EdwpTEXrW0e67EWD8AvV+z31p1olmGWOJbmF3+ftlJwPp3gX0/AXd8CUS1r6wrdBpj29eUlqi7p0PZT6kU4ucxst1/TVIk0LkBOndjbUbBIxgIbw40GAg0uQvQc3lNdSSW0/UYd5/SQaws3e+5zybL7uLi4pTBlhgUBgUF4ZZbblHqmYiPiaojMTPurpfeROLpkzj4z9+4eOwoks+fRXFBIVw8PBBUszZqxDZG42694FGJMyUqS0l+PjKWr5AWL+3nX+w2UVdUWIg1332BvatWVrhvctxZ/Pn5xzi8YS36PfgEPP2vr/1E1hHJT79RI5Hw1jSrb6XGzw/e/a/WVy2roYPaywslkhojaQIClPqMhtxcZeyni4qEW5Om8LltEDw6d2ZytxqqyrGZqP8magZ/8MEHyiqHwsJCREZGYtKkSUpTCfHvacWKFXjhhRcwfvx4JCUlKUtdu3TpgpCQkCtxRIJPPIwVdYdFw4driaSd6OT6zDPPoE+fPkp3WfHQ9tZbb4VaXXafVUuPs4bKIObDV7KMjAz4+PggPT0d3t5VsISKyFZEt9ZpkUCB5Y01bvLQDiCwLuzOmreAddMs69o5cj5Qp4ctrsqpPb94H+ZtOWtVjDtb1cC7dzWreMdDy4CFYyCFSEZ3egQoEjMyVVwmbUcq4/362JaNSoexa5/eiqe1YiBYr11Hm5yTbsaxGVVnuXv24PTwq8ufZNQKq7fu5jpJ9pCkWzz9VZzdt9vsY32CQzB86nTl/1+Sx1BQgFND76y4w3AFwqdPg8/tt1e4X/zrbyD1hx8gQ81fflbqMYradyqtVtnIOd6zOTarevzXRiRT+lm5SToh8aD9Jer2/WxZku5yI4KFY4Ep/xqXUJI0z/ePxZaTyTiRVMEMxzKIunQvDTSxQHZMfyCkCZBQ9pIak3iGGJdFC1oX62KRQxLJuDpt2hk7jaWlKnVPxJKK6lTAnoiqlrVJkhsVJSSgOD0dGh8f2JPV335uUZJOSE9MwJJ3Xsfo/70PtQ2WcTkrlV6vJNlOjxkLQ06ORTHETDpTknSC//jxSFu82OJzXebRpbPSOEVQVbNl8FQxjs2qnm3m6RE5qwLr3hTLrFVXBjEdvSTbsqSMxbIvASuesi6GSGYuZfdO2TxdtPhhYnvUDTZ/WXntQA/MndgOPm460w4QSZTBnwFqE/cvy8APADdjpyZyXiIpF9moqVJLS/zJJB0RyVSSkyv9hpbk5Ze9uiI/EyiUf87ynN67C/v+/sOqGImnTmDrkp+kXRMZiVlpkTNnQn1DJ0lTePbqifBppj8c19eIQPDjj1t168Xy2bDXXrMqBjk+js2qFmfUEcnkYoO6e/qrMYuzspGx7FdkrvobeQcOoDgtTfm82ttbGQR49egOn8GDobHlknLR4CI3xfo4p9cDZzYC0VzaJlOojyuWPtgJ034/jLlbzsCU4gYj20bhhQGxSqLPLGFNgSGfA4vuAwzF5l9sj5eMnY2JiIhsyJIESYUx3a9phpZ2Dtg5Gzi5FojfDxT9l6TzjgDCWwBN7gQaDAI0tvvVa9PP86XE2f7bYqXBhM6Fs6hk8mjXFrWWLMbFF15EztatFe6vcndH8GOPwW/MaLNrwfmPGY3848eQtmCh2dcpZs/V+ORj6EJDzT6WiORhoo5IJp9IwMUHyE+XFzOkEUQpybQFC5D43vsoybp5aW1JRgZyNm9WtsQPPkTQQw/Bf/w4qGQXtxRZnx2z5cXb8R0TdTbg4aLF64Mb4+4O0fh+8xn8eSAB8Rl51+0T4u2CXrEhGNshGg1CrUjsil8+XLyApQ8am4aYQucB3Pom0Gqc5eclIiIykUtMjNR7pQsPh8bLCyjIBv56Bdg+q/QHVhnnjdvh34xjxIEfAvV6SX/dRFOIC0cOSomVn5ONIxvXo3H38juMkvn0kZGImv0dsjduVMb12Zu3XN/4QaVSuqn6DBwA37vugjbQ8nqBYVOnKsm2pBmfmdztWBcZifC3p8O9RQuLz0tEcjBRRyST0g2zrbxumJ6hKHELxfnJU5C1bp1Jh4jOTInvvKPsX2PGp8aBpCzJx4GseHnxTv8rLxbdpF6IF167vbGyJWXm42J6rpJrDfN1RbCXxCfl9fsCD24F1r4F7J4PFJTRbUyjBxoOBnq8wPqERERUaVzr14Pa07PUh52WcGvZEkg+AcwdCqSeMu2g9HPAD0OBDg8Bfd4wjhklOXdwP2SKO7SfiTobEbPjPDt1UjbxIL7w3DllhYxo1KCLiobGU97sz8DJk+HZvTuSPvrY+HtEcXGZHWV9hw1D4P33Qe3uLu38RGQ5JuqIZGt5t7REnaHFGMQ99H/I/tf8hJaYVn9u0n2ImjMbar1eyvUgfi+kyogDclIAd3+5cekmQV4uymYz4jXs/w7Q82XgxBrg4m4g7axxFqZXqHHpT+1ugAe7yRERUeUX9Pe57TakzpsnJZ7vgO7A7EHG2XLm2vSpMUknknWSJJ0+CZkSJcejspN2+qgoQGw24hoTg8jPZqDw4kVlBl/ewYMoTk4GNBroo6Ph2rgRPDp2lPe7AhFJwUQdkWyi5lZQLJB0yLo4Lj5IOepuUZLustzdu3Hpk08Q/MQTkCIvQ06c62KmM1FXnYhlsA1vM25ERER2wn/cPUhbtAiGvOtLQZjLrXlzeMR9ZVmS7rKNnxgfXtXtJW25qkyy41HV04WFwXfIYEBsRGT32PWVSPq/qv+6Yaqsa21f1P5pJM2cY/XlJM/6FvnHj0MKrQ1mZGlZrJiqEVGv6OwW4NAy4MjvQNIRYwdAIiKqUmLmUtAjj1gVQ+XigrDxXYETq62/oGWPAcVF1scRSxd1VnZgvykeZ1dR9VKUkqLUBsz46y9krV+PwniJpXyIbIAz6ohsIaIlMOhD4NeHxQJW849vez9S9hTBUFBg/bUUFytLPUJfftn6WEFyizHD1QfwDpMbk6iyiV+0Diw2FhM/txkw3JCY04tZhrcDbScB4c35+hARVeGsuvzDh5G+dKn5B2u1CJ8+HS7n3pVzMelngSPLje8PVgqoIXfpZEBEpNR4RFWhOD0daT//jLSffkbB6dM3fV0bGgqfIYPhN2IkdCHBVXKNRGXhjDoiW9aqu3OWMRllKrUO6P4i0P9tZCxfIe1SpMUKaSx3Blx4S3mxyL7kpgEXdgPndwLpcai2Eg4CX/cEFk0Ezm68OUkniOYau+cCX3YDlj9hnHVHRERVUhMs7K03ETBpIqA2/dcgjb8/Imd8Cu/2sUDcVnkXtO9nKWHC6taHTKGS45H9EDPJcvftR+6BA0oiq7rK+PNPnOg/AInvvFtqkk4oio9H8szPcbJfP6TOn6809yCyF5xRR2RLje8AotoDq6YaZ9wUlzVDTgXU6Q70ehUIa6p0fxJdoGQRb8QFZ88aC9Zau/S10R3AHjnFmNF8lJw4ZB/SzhlnlR1cAqTcUIjaPdBYi6fNRCCyDaqF46uABWOAolwTDzAA274Gzm0Bxi4FPAJsfIFERHQjlVqt1O717NEDSe9/gJxt28q8SSpXV/gMGoSgxx+D1s8POLBE7g29sEtKmBqxjeEdFIKMpAQp96dh5+5SrovsQ+7evUidN19Z8qk0kriGLioK3n37wHf4COhrRKA6SPrkU1yaMcPk/UtychD/6mvI3bsPYf97Q/k3QFTVmKgjkqQgtwiXzmcpf2p0aviHecDDxwXwDgfu+BLo8z/g6O/GQVnqGeMv7Z6iG2ZzYwIjoM7VWGfE1+USMa1O1AntpwB7FwKG0lu8m8y7BtBwMJCfBSTsB7IvGev7+dcBAuqa9aSb7GDp5/r3gH/eAUoKS98n5xKwd4Fxi70NGPA+4BkEhyVmC5qVpLtG/D7ghzuBCX+KQkC2uDoiIvpPYUIiCk4cR0lBATReXnCJaQCNpwfcW7RA9PdzkH/sGLL+/fe/bpgpgEYNfWQUXBs3hlf3btD4+l69lykn5N7X9HNAUQGgta4mnEgstOp/G9bM/srqS6rf/hZ4BQSi6NIl5B05oiQx1K5ucKlfD7qQEKvjU+XWZYt/7XVkrlxZ5j6FZ88i+auvkfzdbAROmoTAKZOhklzzsDKl/PCDWUm6a6UvXgyNjw9Cnn1G+nURmYuJOiIrFOYX48jmiziw4QIuxWXdVI7O088FDTqEoXGXCHj4BhmXw4qtAoZiK5NgpcUsklOwWMz4Q4cHgY0fWxenyVBg9iDjEpIblwu6eAONBiu1+hDa2LrzkG2JTsDzRwBnzOhOfOhX46yyMYsc8/UVv1QtmWJZku6yCzuNic3uz8u8MiIi+m95X+r8BUotOrG87ToqFVxjY+E7bBh8br8NLvXqKZtJSuSPz1AixmfWN29ofutAHPp3HeKPH7U4hqerO1qpXHG8b18Unjl709e14aJz6B3wGzEc2iAHftjmBEQC+uyEiShKTDTtgMJCXPrsM2Rv3ozILz5XktqOJv/UKWWpqzVSZs+GZ/fu8GjXVtp1EVmCU1aILHTucArmv7oF6+YfxaVzNyfphKzUfGxfcRpzX9mMfWvjTK59oBHLKyTT+vvLC9bjRaBmZ8uP9wgG/v2o9ML7Qn4GsHMO8EVnYOVzQKEVCRGyHfELy4JR5iXpLstKAL4fDKTd/IuA3ds5G0g8aH2cDR8AWSYOoImIqEJinJUyZw5O9OuP5C++uDlJZ9xJmT0XP3UqTg66DdlbzKg55y65ZIHOA9C5SQmlVmsw4OGn4eFn2XgvPDMXXQ6dQdpnM0tN0glFFy4qs5XE/RVF+sl+E9Vn7r3X9CTdNXJ37sS5KVPkPeCvRGIpuyEvz7ogBgMSpk2TdUlEFmOijsgCe1afw68f7UZmimlvBkX5xfhnwVH8NesgSkoqTtbpa9aE2sND3muj0cAlRmLHVlGrbtSPQEx/Mw9UA2otkG3iwEEk8TZ/BnzbH8hNteRKyZbErMrT6y0/PjsJWPqQMihyKKLOnAyiZqVI+hERkdVEYuH8Y48j4c23YMg17QFfYVwczo4bh9QFC0w7SZjkzt1ilYJKJS2cb0gohr/yFvzCa5h1XMPkTDQ/eQHIyDBp/5KsLFx88SVcfPkVFuC3QxdfeBHFSZcsPj53+w4kfy1prFNJChMSkLl6tZRY+YcOIWeXnPqRRJZioo7ITEe3xmPDj8dKnUFXkWPbErB+wVGTupK5t28v7bURdVjUrhK7tQp6d2DkfOD2z4y19ioi6s5pNP8t8bBgmeC8EbZZckKWyUoC1kp44nhqHXBwqeO8CimngKTD8uId/UNeLCIiJxb/6qvl1uIqk8GgFJLP+P33ivcNbSJ3Vl3tbpDNLywCd0//GK0H3QGt3qXcfVUqNdq6+6FmnGWzu9N+/BFJH3xo4ZWSLWSuWoXsfy1Y6XCDSzM+Q6EFM/KqStY//wASSwdlrV0nLRaRJZioIzKDWMoqlrpaY/8/53HmwPUdl0oj6n/I4jtyBGymxWjgsf3AXd8BLcYAIU2MS1u9woCoDkD7B4B7lhs72xaX0WjAFGKZ7L8cDNqNXXOAIiuXF1y21fri15Xm4m658eL3G5txEBGRxTJXr0HaT1YsxRTJuqmvoigpqfz9RNOH5qMhhVhh0PIe2IJWr0fXMffi/pmz0X3c/UqDCL+wcLj7+MIrMAi1mrdCx7tG4+7HX0DQjr1WnUvMvMrZydlH9tRMQQZDYaFDLW/OO3DAruMRmYvNJIjMsHXZSaWrq7XEjLyoqf7KzLmyeNxyC9zbtkXOVjNqp5TCtVEjePftC5sSnSsbDTFupdk0A0g+Zv151r0NtBoPuEust0eWObRM3p07swHISXGM1zXjotx4oiFFXhrgESg3LhGRkzCUlCDhrbesjlOcno6kGTMQNnVq+Tt2fBjYNRfITbHuhG3vA7zDYEuunp5o2W+QspXm3OQpMBQUWHcScf+nT0OthQuti0NWK87MRM7mLdLuZOaffyHogQfgCIoS5M7+K0pIkBqPyFycUUdkorzsQmXpqgxpCTmIO1x+zTWRxAt7839Qe3pafB6ViwvC3nwTKm0V5uRF/TFZNb3EDC4xOKaq73qaIPlJ4wUHeRovsZbQNUFtEJOIyDlkr1+PwnPnpMTK+HUZirOyyt/JMwgY8J51JwqoB/R8GVWpIC7OuFxQgrw9e5HLGUhVLu/AQal1f/OPH0dJfj6ccnxmk/EekemYqCMy0blDKSgqLKVDqYVO7624yKu+Rg1EzvwMand3s+Or9HpEfPQhXGPqo0pdOgqknJQXjzW9qp7o2CoaIciULueXLJvziZQbT+8JuMnv8kxE5EzLXmUpyclBzhYTZiQ1vgPo/ZplJ/GJAsb8Iq3bq6Wy1q1TZsNJi7d2rbRYZJnCCxfk3rqiIoeZWaYLD7freETm4tJXIhMlnc2sknjubdogev48XHjmWeQfNq2Ivb5WLYRPewtuzZqhyl2QXNPr4h7j00I+6bINMWiP32usxZYmkmcGY73B8BbGbnca8bZhgy6ttu78mh4HHPrNOHMv7Yyxo7BnsPF7qtcbCDPx34q4DzKFNgXUfGZGRGRPtam8evaseMdOjwC+UcDyJ4CcimsPK+r1BW77GPAyoQlXZcy+suN4dL2S3Fzk7tuHvIMHUZySCpVWA310NFybNIFL7dq2G0vZeHyWu/8Astf/o3xfRZeSlTGRPjISro0bw6t3b+hCgk2K49q4kdTrEqWDiKoSE3VEJspOy5femMJUrjExqPXTj0j96SekzpuHguMnSt1PFx0FvxEj4TdqJNQupXT6yk0D9i4ETm8A4vcB+RmAxgUIigFqtAaajQQC6kCqTMk1vQoyjdft6iM3rrMrzAO2fgFs+8aYyCqNSNiJwtdtJgAqDWCQ2IXX20ZPLtPOAn+8ABxeXvr1ilp7q18HarQ1zo6I7lB+PJ8IY7JO1lLd2NLrBhERkWkKE+Kl3qrCeDNmEInavNG3AJtnADu/B3LKWC0R1RFoPxloeHupXy44cwbpS5cid89e5J84AUN+PtReXsr4Tzyw9bn9Nmh85I57iiR39HSUmVeOpjAhAclffa38fJRklv6Q3yU2Fv5jxkATHCT35Go1tIG2qaGbvWUrEt99F3n79t30tdwdO5C+ZAkSpk2Dd5/eCH7qKejCyq/n6Nm1q7KayOqai//x6tNbShwiSzFRR2QqVdXGU+l08B81StnyT55SnvgWXryoPOnShYYoT370deqU3qBCJGHWvgVs/RIozLn565kXgJNrgH/eBWL6A/3fMSYkZGBNL/t3fiew+H7jMuWKkq7rpgG7fwB8apSd0LOEmNkm254FxpkOBRXUGxLitgLf9Qc6PAT0erX8WW6iAPiSKdZfn84DaD7K+jhERE5MJXuAZm44UbOu11Sg+wvGh6Bi5r+YYSe6ugbUNT7cKWNMJZIwCW+8gcxVf980c6k4NRWFZ88i86+/kPj++/AbPQpBDz9c+oNYS7Cml91LE8mqN99CSUZGufvlHzqEiy+8IH0ljViho/bwkBrTUFyMhOnTkfr93Ipn6xUVIWPF78j6Zz3CXnsV3v37l7mr1s8P3v1uRfrSX62+RrdWrZQkOVFVYqKOyESefq5S75WXv+XxXGrXUjaTiPpw80YAl46YsLMBOLIcOL0eGPIF0KDsN0STiYSOTK6+gKu33JjO7MQaYP5IY/dRs+rJSfzFSCw79QqBVGJm4PLHzTtGLIfd+DGQnQQMnln2LzFNRwDbvzUm96zR8yXAzde6GERETk4bHoaipCRp8XRhFs7w1uiAiJbGzQSZa9YoZU0qSsIIhrw8pHwzC1lr1iq1i8WSR2tVNEPJ7His6SXVpZkzkfTRx2Ydk7tnDyAayBUVSbkGz25dIbtD84WnnkbGihVmHVeSlYXzTzypLP/1HTq0zP2CHn8cmWvWmvRvqkxaLUJfeN7y44kkYWEcIhMFR3lJvVdBkuOVuezv2wEmJumuIZaW/jgWOGzeG2mlzJQKt8HMK2eVfAJYMNq8JN0VEmuWtJkEqeK2Ayuesvz4PfOBLV+U/XUx204k8kTS2FJ1egDtJlt+PBERKdwk15JybdTQ5nc2c+1axP3fw2YnFApOnsSZMWOVjq32VoOLNb3kSV/2m9lJuiskJenEWMdvxAjIlDJrltlJuisMBlx8ZapSy64supAQhL7yslWzRcWsVdeGtv8/gKgiTNQRmSgy1h86F420+1W7uW1qPlzXFOCXScZlrRYdXwQsngxkWNlBStS8C5Y4GGwwUF4sZyaWGyx9ECjMrtrrELPpRG1EWUqKgSUPWF8/7+9XjYnusgTWBcYuAtz8zY9dqyswfC4bohARSeDVq5e0+yjqwnm0awdbKkxIxIWnn7E4oSJmD1548illdpI1PLt3A3Q6yOLVW97r4MzE6xv/xhtVfRnwGzNaaeogi6jDmPTJp9YFKSrCheeeL/dn32fAAIROnWpRo66A++9H4H2SHx4TWYiJOiIT6d20iGknp0tXQIQHwuv52fbe75gFnNtsXYz8dOtmJl3WVtKbnos30Ezu0z2ndXwVcHZT1V6DqNEmZqYpnWQlEU0jzJ1BWhpRy7G8WXVCRCtgyr9AvT6mxRSNW3q+DIxdDOjl1nwhInJW7h06QH+566WVfAYPhtrdHbaU8Oab1i3NE0scd+9G6rz5VsXQBQfDW1Jyzb1D+6udR8kqyd9+h5L09Cq9i/q6dRD82GNSY6bMnqM0SbFW/pEjyF6/vtx9/IYPQ/QPc5Uae6bQBgWhxmefIfixR62+PiJZmKgjMkObgbXg6mnl00cV0Hl4fdvPltr0mZxYR1YAKaesi9FirJwlsKJYs0slLBl2BttnyYultaDeot4TGLUACJG79Aa7vpcXa/c848zUirrVjv4JGLcCaDwUcLsxAa8C/GsDXZ4CHt4FdH4CUMubmUtE5OxEE63QF1+wOo4mMBCBD0hoFFSOgrjzSnMIGVLmzIGhomL8FQh+4gmrmwWIZmchzz1nVQwyEh1L0xctknY7xGtjLpHcivrmG6jd3KRdh6GwEOm/Wt/k4bK0n3+pcB/3Fi1Qe+kShL/7LtzbtYPK9Yaxqk4H16ZNldl3df5YCa8e3aVdH5EMbCZBZAZ3bz26j2mAlV/sq7BRUVla9IpCRH0bz6Y7txVIOSEnliiwv3ch0O1Zy2OIGVOiOcU3vY317yxR/1ag9b2WXwNdJX54T5X/NNIsRfnGmY6iy6opIloDgz8DgmJs87MvS24KkHwcCDIhsV6zk3ETUs8A2ZeMyy78arFhBBGRjXl07Aj/e+5WZu1YRKNB2BuvK50jbSlj2a8VPwAykegIm7tjB9xbt7Y4hi4iAiEvvYiLz1qeaBMF/F3r2/gBtJPIO3wYxWlp0uLpateGxt0dubt2mbS/z5AhCHnuWWi85TZtyz92TGkIIYuYUWoKlV4Pn4EDlM1QVISC06dRkp0Nlasb9LVqQq3XS7smItk4o47ITLWbB6H72Fio1OYXKm3UJQId7qhj+3t+frv84vzWCm4AjP7ZshlxdXoCd33Hml6yiE7ABZnSwimNJVqOAyb+DTQdDuhKWTak0gDRtwB3zgIm/GmbJF36eSBP3gBXkbDf/GP8ooEarYDwFkzSERFVkuBnnoHPnWV3hCyTVovwaW/Bq1s32Frunr12F8938GCEvPCCRWOswAcfRMD4cVZfAxnlHTwk9VYUnj6NqDmzEfHhB8qsMpGQvpGYaeY9cCCi589D+FtvSk/SCXlHj0qv41eUmmrWMSqtFi5168KtWTO4xtRnko7sHmfUEVkgtmMY/MLcsXr2IaTG51S4v4uHFp2H1ZdW465CSRJqdF1LRs2vrERg8wwgP9O8JZXdnwc6PMTlgjLlmje4MUlOMhA7EKjR2tjQQfwMpp4yfuwZAoQ2AfS2rfuj1JVzhJhERCSdSq1G+BtvwL1lKyRMm2ZSHTiXevUQ9tZbcGssuQxDGfJPnpQcz/rVE7n79iNNLLc0Y6mINiQEYa+9Cs+uXa0+P11VLLk2nagJJzbvW29VtpLcXGXWnkh0qTQa6GpEwqVObSWJZUuG3Fz5MXNyABvPgCWqSkzUEVkotJYPhr/YFid2JuLA+gtIOJWB4qKryxnEg0m/MA806BCmJPZcPeR11qpQcYHceGJpozXEMssfx5qXIBKF92+fATS507pz083UNvivX3PN8gFRgy2koXGrTKXN5LMWmz4QETkU3zuGKB1NRa2v9CVLkH/8xHVJKLEczq1FC/gOuwveffpYVMfLmhpkcuMVWnV88qxvkfjee0Cx6Z3StcHBiPp2FptH2IAtEmbX/nyLunOidltlU0msd3clpo2bvhBVNSbqiKyg0apRv22oshUXlyD1Yg4K8oqg1anhG+IOvWsV/RNz9bGfeGc2AT/cBRSZ+TStOB9Y8gDgFQrUvMXy89PNRHMD0eRALFmVJbBu1d9pnwjA1Vfu8tfgypllQURE8ohacwETJihbcVY2Ck6dVJJkak8vuNSuVanJuWtpvLxQFB8vNZ6lkr+ZhcR33jH7uKLERJy7737UnD9P6ZZJ8oi6aTJpw8OgdnFBVZNdw1D83Nm6niRRVWONOiJJNBo1Amt4IryuL4KjvasuSSeIZYZS4zW17Li8DOCXieYn6a5N1onjcyXXHXN2rt5AYD158USnUyX5Zwci28mL5R4g9z4REVGl03h6wK1JE7i3aqXUpqqqJJ3gEtvALuLl7tmDxPfft/i8hXFxuPjSyxYfT6VzbdRY6q1xayz59wELiSXmak9PafHcWraUFovIXjFRR1QdRXf8b8aUJJe7WZpr9RtARpx15868CPz9mnUx6GZNhsm7K03usp873HKsvFjNR7OBCRERSePepo3Uu2lJx1eDwYCLL75k1nLX0mStXYuMlX9YFYOupwsJNjZ9kMR70EC7uMUiOe5z++3S4vla0jSGyMEwUUdUHYnZTbW6yIml97IsESNm0+2aK+ca9sznrDrZWt0D6Dzk1LtrMwl2I6Y/EBRrfRxxb9reJ+OKiIiIFD79+0ubWSQSOi61apl9XPbGjcg/dkzKNaTMmSMlDl3lf889Um6HrkYNePXoYTe31v+eu6GSsAzXpWEsPG5hSRyq/pioI6quuj4jZ1ZdhwcAFwtqoBz+DSjMhrTOm4d+lROLjDyDgV6vWH83Oj0CBMmtPWIV0chi8AxApbEuTu2ugE8NWVdFREQEtYcH/MePs/5OqFQIfOABiw7N+HWZtFcid+dOFMRZuXKCruPVozu8evey+q6Evf6a0tnVXuijohD0yCNWx/EdOhQq0bGPqJpjoo6ouhLLVa2dERTSGOjylGXHnt9h3blvirdTbjwy/nzEDrL8TkR3Aro+a393MqIVMFDU3rFiIHdkBfDr/13XKZCIiMhagffdB5dY62Z++40cAY92bS06NnffPsiUJzkeAaGvvgpddJTFtyLg/vvh0aGD3d1KkaT2vs2KcSeAhP+9ibQlS6RdE5G9YqKOqDrr8wZQr69lx/pEAiPnAxoLiy5fkrOswmbxyFh/begsy5Y21+kJjPoR0Ort8062GgcMngmorHib2/U9sP5dmVdFREROTtTrivxsBnQRERYd79G5M0KetfwhWcHp05Ap/+RJqfEI0Pr7I3rOHLjExJh3O1QqBEyZjODHHrXL2yhmwoVPmwYfa2rMlZTg4gsvImf7dpmXRmR3mKgjqs5EEmXED0C7yebNLqrZGbj3D8DX8qd5KCmCVMUFcuPR1Z+RoV8DQ78BPIIqvisuPkD/d4ExvwAu8jp42UTqacBQYl2MdW8DCQdkXRERERF0YWGInjcP7h3am343VCr4jR6NyBmfQqW37CGZQTSQKLHyffHGmIWFUuORkS4kBLV++lGZHWfK662PjkbUd98hWMLyUptSqVB4+ox1MYqLceGFF1CSlyfrqojsjraqL4CIbEzMiOs3HWg4GPjnbeDEGjGsKn3foAZAhweBFmOt73bp6gup3P3lxqPrNbkTiL0NOLjEWA/wwh4g/ZzxZ8UrDAhrDtTvCzQdBuglNKGwtbx0YOMnchLE/7wD3PWdjKsiIiK60uEzatYspC9ajJTvviu7wYNKpSxjDJwy2equsaJmmaiTV5KdLW+Y6St5vEdXiASdmB3nP+4epP/yC7I3bkLewYMoTksD1GolOefauDF8Bg5QZlqq1PY/Byf7341SZsMVnjmL9CVL4TdiuJTrIrI3TNQROYvoDsDYxcZZRmc3A/H7gLw0QOtqTNCJul4RLeWdL6wpcGS5vHihTeXForJn14lEnNiEy/XZHLFo794f5TUzOfQbkJUEeJow45CIiMiMpYC+Q+9Qttz9B5C7dw8Kjh9HSX4+NJ5ecIltAPfWraGvIa+5kWtsrNRlg66xDaXFotJp/fwQMHGisgmGkhKHSMqVJm3hQmmxUhcuZKKOqi0m6oicjV9N49ZshG3PU6sLsPYtifE6y4tFpnHEBN1lp9bJi1VSCJzdCDS8XV5MIiKia7g1bqRstubevr20RJ3a3R1uTRpLiUWmc9QknZC9dau0WPmHDqE4PR0aHx9pMYnsheP+Kyci+xbd0ThTT4aAesbEH5GpLu6173hERERVwPeuOwGtnLkaooOnSNYRmaIg7jxK0tOl3qy8Q4d486laYqKOiGyn+wuS4jwnJw45j9w0yfFS5MYjIiKqoiYFfsP+K3FhBZW7+5WlmESmUGrrOUBMInvARB0R2U7D24DGVrRgF2IlxCDno5Fc2UFjWYc9IiIiexP8xOPQRUZaF+PJJ6TWzqPqT6XTOURMInvAGnVEZFu3fQpkxgNn/jX/2Mj2wJDPbXFVzqG4CEg6BCQcBAqyAJ07ENIQCG5o7AZcnYnl0jnJ8uIF1pMXi4iIqAqJzq+RX3yBs/fcg6KkJLOP9x83Dv6jRtnk2pxBSU6OsmSz4PRpGAqLoPH1UZp86KKilAYj1ZU+KhLQaIDiYnkxa9WWFovInjBRR0S2pXcHxvwC/PE8sP1b0avKtONa3gPcOs14PJkn9QyweSawZx6QV0otEL0X0Gw40P4BIKBO9by7ooPxuc3y4oVL7IhMRERUxVxq10L0/Pm4+OyzJjeXULm5IfiJJ+A/ZrTNr686ytm5Eymz5yDz77+BoqKbvq4LD4fvsGHwGzUSGm9vVDdqNze41K2L/CNH5MTz8oK+Vk0psYjsjcpgMJj4W7M8GRkZ8PHxQXp6Oryr4X9CRFSG0xuADR8CJ/4WveVL2UEF1OkB3PKoYzaPEP+dJh8HLu4BclMBtdY4EyusGeDiVTnn3/IF8PerQGFOxftrXIBuzwKdHgUcuINYqS7sAr7sJidWYH3goW1wRny/dh58rYmck/hVMH3RIqTM+b7MBIrK1RXeA/oj8P77oY+KgqMxFBQg78hR5B89ipLcXKUBhktMfbjWr18pSyeLs7KROH0a0n762aT9tcHBCH3tVXh1kzSOsSOXZs5E0kcfS4nlO2I4wqZOhTPie3b1xxl1RFR5at5i3DIuAOe2AgkHgIJs46y5kEZAjTaATxXXOxHJLrFksqQYcPMFtC4VHyOSclu/AnZ8B2Scv/nrKg0Q0w9oP8X4/dvqupc+BOyea/oxxfnGpJ5ILN45C1BrUC2knQNWSRy4tbtfXiwiIiI7IpZa+g4dqmx5R48ib99+FJw+9d+STF+4NmoIt+bNofGqhAeO5TAUFqJYdAxVqaDx84PKhAeM+SdPIWX2bGQsW6YsN72R2tMTPrfdBv9x99gsAVmUmoqz905AvhndSYsSExE35QGEPP88/MeOQXWRs20b0n42LVlZIY0G/mOqz70huhFn1BER5WcBexcCBxYbk1b5GcZ7otYBwQ2AOj2B1vcCftE336vDK4DfHgWyEky7j81GAf2mAa4+cu+7SExt+MDy49tMAga8C4eXeAiYfRuQnSgnXo22wL1/VL8ZhybiE1vnwdeaiOxNYXw80n78EVnr/lFmw4lknSBmxLk2bAivPn3gM2TwTUlEQ3Exkr/6CpdmfHblmPKoXFwQ9PDD8L93vNQaceI6zoweg9zduy0LoFIh4sMP4d23Dxxd+rLfcOG550pd8muJgEmTlKYozorv2dUfE3VE5Nx2zwNWPgfkVdDeXaUGWk8Aer8K6D2MnxN14FY+a/45vSOAbs8Yk0CBMdYngcTsxFl9y1hObCoVcPcSoLYDL7PITgY+7wRkXpQTzzPEmKTzrwVnxYGg8+BrTUT2oiQ/X1keKWbDVdR4QDTGCH7qSfgOH64k2QxFRTj/xJPI/OMPs8/r1qI5/CdMhFujhtCFhcFal778Cknvv29VDI2/P2r/tgxaf384quwtW3H23nulNZFwb90akbO+gVqvh7Pie3b1x0QdETmn4kJg8WRgv5lT8P3rAGMXGWug/TTO+usQM+uajjAur7S0scO3/S3rqnuj0KbA5PVwWD+NBw4skhPLN9rYBMXJu71yIOg8+FoTkT0oTEjEuYkTkX/smFnHefbogYgP3kfCtGlIm7/A6uvQRUbCd9hd8Bs+3KLGDsWZmTjWtRsMpSy5NZf/+PEIeeZpOKKS7GycvO12FJ4vpTSMBTw6d0aNDz9QErTOjO/Z1Z9zruUhIrIkSSeknDAmxn57TM49FF1Zt34BfNYBWP+esTaeuUs9ZSTphPi9wDkHbZogEqeyknS1ugJTNjp9ko6IiKgyiRp0Z8eNMztJJ2StXo0zd98jJUknFJ47h6T33sfJAQORuXqN2cenL1kqJUmnxFq0SJll6IhSFyyQlqQLeuRhRH75hdMn6cg5MFFHRM653NWSJN1lomGEaCAhk9LY4TVg4VjjbD9THf9b7nWIjryOaNs38mKJBicunvLiERERUYUS3nwTBadOWXyn8vbskX6Xi5KSEPfAA0j+ZpZZx2Vv2CA1gZm3bx8csaNw6oKF0uKV5OVLrSFIZM+YqCMi52scIWrS2asjy4Flj5q+/0ULCxSX5YLkeJVFZsLy/HYgt4KahURERCS1I2j60l/t9o4mvvMO0pcuNXn/3IMHpJ4/74DceJWh4PRpZWaiLNnrHbg8C5GZmKgjIueyd0HFjSOq2u65xm6ypsiS1N30SjwTu9fak6wkIPOC3Jii+y8RERFVipTv59r9nY5/438oTDBtnFR8KVnquYsuXYKjyTt4UGo8sSTaUFAgNSaRvWKijoicy35Jdcxs7c8XxZqBivcT3WhlUmvgcLITbRAzSX5MIiIiuomov5a5xvw6cJWtJDMTl2Z8ZtrOao7PipPlJisNhYUozsiQGpPIXjFRR0TOo6TEcWZKiaYVJ00YtPrXknteP8nxKoPsZKWtYhIREdFN8g8fBgrNqM9bhdJ/+03p6FoRfWSk1PPqo+TGqxS2GEtpHPCBMpEF+JsIETkPMUuqIAsO49iqivcJbyH3nOHN4XB8o+QPBmUnQImIiKhUBWfl1TGzNdHJNWf79gr3c23cWOp5XRs1gqORnVxUe3lB4+srNSaRvWKijoicR0kRHIopjSJi+gMaFznnU2mA2NvgcPQeQGCMvHgaPRDseANiIiIiR2QodqzxWd6Bimuved/aV9r59LVrw7VBAzga2clFEY9dX8lZMFFHRM7D3d+YjHIUmRcr3scjEGh8h5zzxfQDfB1waYXQaIi8WGHNAK1eXjwiIiIqkzYg0KHuTlFixbVxPbt3hy4iQsr5/EaNgiPSBgbCvU0bafHc27aVFovI3jFRR0TOQ+cGBEmceWVrpi7n7PUq4GrlUgC9J9D3TTisVvfIm1mYeAjIdMDut0RERA7ItVFDOBS1qsJdVBoNQl95WcosMr8Rw+Go/MaMkRYre/16GExptEZUDTBRR0TOpU4POAy/mqbt5xUC3P6pFXXaVMCA9wG/aDgsr1Cg69NyYok6huvflROLiIiIyqX194dLw1iHuUumNorw7NIFfnePtfg8am9vhE+fBpVWC0fl3bcP3JrLqX+cu2sXMleZUL+ZqBpgoo6InEvre42JKUcQZsbAJnYQMOQLY301c4ilwAM/AJo57tPaK7zD5cXaswDId6DGI0RERA7Mb/gIVMfaayHPPQe/USPNPofGzw9R33wNl7p14ei0ISHSYqXNny8tFpE9Y6KOiJxLQB3jMklreYUDbn6wqUaDzdu/6TDgvrXGGmumCIoFJq4CWo9HtXBc4lPW/Azg3BZ58YiIiKhMPkMGw6We9UkpZfaWynYPZDWi7lqrVibvL5ofhL78MiI++giagACTjvHq3Qu1l/0KtyZNUB2Y0iXXVNlbt6EkP19aPCJ75bjzaImILNXnDeDkWiD1tGXHq7XAHV8CLl7AD3cB2RUXFTZbZHsg1IIBWkgj4L51wIm/gZ1zgLNbgKz4q1/3CAYi2wItxgD1+gLqavS85oIJXXLN7bpbt2fZX89KBM5uBuL3AXnpxgYUovtsjdZAsOMs4SEiIqpqar0eYW++iTOjRsNQWGhRDG1wMGrM/AxZq1fj4tRXAQvjlMdv2F1Q6XQWLQH17NIZGcuXI33Zb8g7cAAlWf/N3FepoIuKhEe79ko9OteGDlazrxyF8fEoTk6WF7CoCPmHD8OtWdkPpU+ln8LepL04kX4C+UX58NB5IMY/Bi2CWyDYPVjetRDZEBN1ROR8RIJtzCJg9iAg47z5S0UHzwRqdTb+/YFNwIongQOL5V2fSAT2f8fy48WT5Lq9jJuQnWysu6b3MHaJtQc5KcCxv4ALu4D0c4AoDixq7YnlvuK6fSzolJYluQFE5jUJzmtd3GusYXd4OVBSVPo+4vvo8BDQ9C6510RERFRNiRlkER+8j/OPPW52sk7MVov8+ito/fzgO3Sokuy68NzzSlJHFl2NGgiYONHi49VubvC9805lE00RihKTlO9T4+sDjacn7EHB6dPI2rgReQcPojglFSqNGrqoKOW18ezcGWoPD7PiFSUlSb/GwsREuJXy+VVnVuHbA98qSbrSaFQadI7ojElNJ6FpUFPp10UkExN1ROS8S2An/g0sexg49qdpx/hGAbd/djVJJ4jE113fAZ2fBLbPAk79AyQfB2BFV6oeLwFhEgcQHgHGzR6Ibqp/vwbs/xkoyis7GRrTD+g1FQisZ3psi5tpmBivpARYNw1Y/17ZCbprZ+MtmgjsmW9M7IokJBEREZXLq1cvRH8/R0myFZw6ZdLdcm/XDuFv/g+6iKsP+VxjY1Fr8SKlU2jaz78gd/duFCVavgJC5eKC8LenQ+3uLuUVFEtidSH2M7srd+9eJH34IbI3bTY+PC2F2tMTvkPvQOBDD0Hj5VU1YzMl5PUx0/LSMHXTVPx99u9yjys2FGNt3Fr8c/4fjI0di0daPQKd2vzZkUSVQWWogh7HGRkZ8PHxQXp6Ory9vSv79ERE1zu0DNj6pTHJVhq/WsYmFGJzMeGJZ0E2sHs+sPJZoMTMZRddnwW6P1c9X6GDS4FfHwby0kzbX+sK9HoVaD/ZtP1n3gIk7IM0t04D2k+5mqRbNMmYYLSke++4FZbNEqxifL92HnyticieiDpkaQsXInX+gjITdm6tWsF/9Ch49eunJL4qUpSaisR330X6L4vMuhaVmxtqfPyRMqOsuhGpgKQPP0Ly118DxcUmHaMNDUX49OnwaNe2wn2L09JwtH0HyFRr6VK4xtRXPk7JS8G9K+9Vlrmaq1uNbni/+/sOmazje3b1x0QdEdFlYomoWIqZegooKQY8g4xLGP1rW1aYOOEgsGSKcXZVRbxrALd9XH5NNEe2ay6w9CHLZhp2eRro8ULF+4n4u76HNONXAtH/DS7/ft243NVSot7gpDWAxrEGgxwIOg++1kRkrwrOnVNquomloqK2rj6yhtJ5VRtoWTmPjL/+Qvyrr6H40qUK93Vr3Qrh//sf9NHRqI5JuovPv4D0xeaXb1Hp9agx41OTkpfHe/VGYVychVd5w3ldXRGzYztUGg1KDCUYt3IcdiXusjjeyAYj8Xy75+Fo+J5d/XHpKxHRZWJ5aL3/6rrJENLQmJwR3Uh3fAec3Qjkpl79us4DiGgJNB8NNBoC6Fyr52txfodxJp2ly4H/edvYJKOiLrgNb5eXqBNdfUXTDUEkbzd8YF080XBCLJnt9qyUyyMiInIW+shIZZPFu3dveHbqpDR1SF+6VKnHZsjLu67enXubNvAbPgweHeTOBrMnKd9+Z1GSTjAUFOD8o4+h9q9Lr1tyXBqvPn2QMmuWhVd5Q6yePZUknTD34FyrknTCgsML0Du6N9qEtpFyfUSycEYdEVFlSj8P5GcCWhfAN7p6dV0tTXER8HknIMnKYs7ugcBD2wB3/7L3EZUcPmkFpJi//OEm3V8Euj5l/Hj+SODICutjimYekzcCbj6Amx8cAZ/YOg++1kTkrAxFRSg8f15p7KD28rar2nG2UnDmDE7edjsM+fnK30tUQKIvUKAFXAuAoHTAlLUkHh07ImrWN+Wf69w5nLi1n8lLa8sTPW8e3Fu2QEFxAXr91Aup+dc8ALdQq5BWeL/b+3DVuMJdJ6cGoa3xPbv644w6IqLK5IB1yqxyeJn1SToh55JxVmLnx8veRyxPHvAe8H0FM+9MWYbc7j7jxxkXgKN/QApRu/DjZsaP3fyB8BZA46HGrbrOpiQiIrJzKq22Wi5tLU/yt98ivygfG5uosLaJGifCgHz91dSce54BMXEG9NxjQOtjBqjLWBSRvXGj0ojCrWnZTdDEbMiACROQ/OWXZl9nlisQ7wcUq4GIDr3g1qK58vm/zvwlJUkn7EjYga4Luyofh3uEo1lwMwyuOxgdwjqYVPuQyBY4o46IiGznm77Auc1yYommDI/sqXi/P14ANn1q3bk0eiC8JRAcC+z4FjblEQT0extofAfsDZ/YOg++1kREztOo4+fh7TGzRyEu+VSciIpKNOCB34pRO6H0r/vedSfCXn+9wqWyp8eORd6evRWe75IXsKqFGv82VCHB7/rr89J5oV1YO+QV52HD+Q2wpVj/WLze6XXE+MfA3vA9u/qr5muuiIioyhz7W16STkg9DWTGV7xfnzeA1hOsO1dxgfHabZ2kE7KTgJ/HG5thiCYmRERERDby2dq38PqQIpOSdMLZYBVeuEeDdY1L3z9nx06Tmk9Effkl3Jr9t7KgFGL57eIOKjwyWYNFndQ3JemEzMJMrDq7yuZJOuFQyiGMWD4Ci46Z1yWYSAYm6oiISL5z24AFI+XHjd9f8T5imcLA94E7vzXWtnMUohHGb49W9VUQERFRNTXnwBx8Ef+L2ccVa1T4bIAaW+vfnDwrOH1amaVXEY2PD6Lnfo/AB6YA2usrcOVrgTeHqzG/mwaFWvtZblpUUoSpG6fit5O/VfWlkJNhoo6IiOQqyAEW3wcUVzxoM1t+hun7iqWkYqnsgPeByHaA1gHqwO2cAxywrAMbERERUVmOph7Fhzs/tPgGGdQqfNFPjbQb+y2UlKAkJ8ekGCqdDkEPP4y6f/2JgMn3Q1+nDgxqNd6/Q429tewzNWGAAa9veh3ns85X9aWQE7HPfw1EROS4RH24lJO2ia1zM29/F0+gzQRgwp/A+JWA2gF6KK14CijMq+qrICIiompk2tZpKCwptCpGprsKC7renEJQu7iYFUcXFobgRx9FneW/Ydf8p7Crjn2nJXKKcjB96/SqvgxyIvb9L4KIiBxLcRGwfZbt4ovmDpb66yWgpAh2T9Ss22/+shQiIiKi0hxLPYZt8duk3JwNjVRKN9bLdBERULvfOM3ONFkFWfjkwOdwBOvi1nFWHVUaJuqIiEieuG1A5kXb3FGPYGPnV0skHAROr4fDMDVRZzAAeRnGTXxMREREdAPRgEGWAp0KO+tcrSPn1ry5xbGWnliK7MJsOIISQwn+OP2HSfsaiopQnJFh8pJgohs5wBogIiIySWEukHHBmLDxDAZcvSv/xl3YZbvYzUdZfuzh5XAo5d3HvHRg9zzj93RxL5Cfbvy8iw8Q1hSI6W+8V26+lXa5REREVLr0/HSk5KVAo9IgzCMMOo2u0m/VwUsHpcY7GapClwPGB4Q+dwyxOM7qs6vhSA5cOlDm1wri4pC2cCGyN21G/tGjMBQUKJ/XBgfDtUkT+AwaCK9evaC6oZEGUWn4U0JE5Mgy44Ed3wGHlgGJhwBD8X9fUAH+tYH6fYHWE4DAupVzPWlnbBNX5w60nWT58Rd3w6HkpgC5qYCb39XPiQTsls+B1W8ABVk3HyMSdmLWoNjEPt2fB9o/AKg5eZ6IiKgyHUk5ggVHFmDThU3XLZfUqXWo51cPt9a8FUPqDoGva+U8VIvLipMaL/G/y3ZpGAuPjh0timEwGHAo+RAcydnMszd9rjgrC4nT30baL78ojTVuVJSYiKy//1Y2XXg4Ql97DZ63dKqkKyZHxUQdEZGj1oL79wNg3dtAsfGJ3fUMQMoJYPNnwOaZQOvxQO/Xjc0VbMlWyy97TQV8alh+fPo5OJxrB3v5WcDCMcDJNaYdK5aR/PkCcOwPYPgPVTO7koiIyMmk5aXhza1v4vdTv5f6ddHM4WDyQWX7fM/neLTVoxgRMwIq1dWlpA5Dp0P4//5n8bVnFWYhszATjqT4ygNxo/yTJ3Fu4iQUXrhg0vFiv3MTJyJg4gQEP/mkja6SqgM+ZicicjSiHtmc24yzpkpN0t3IYGzw8EUXIO3mJ4FSeYXKj9lkGND2PutiOFr9No3+anKtuBCYP8L0JN21Tv0DzBsGFJnyc0JERETWNGwY+uvQMpN0pXUSfXPLm3hkzSMoMGk8Z7kgtyCp8XyzgdCXXoRrrOVNvgxifOpg/F39r3xceP48ztxzj8lJumslf/0NEt97X/LVUXXCRB0RkaPNpBNJmzP/mn+smGE3+zYgJwU2E9ZMbjz/OsCQzwFrnzR7h0MqlY3fPoMbApdr2Kx/z7pGGGc3AeumS7s0IiIiut6FrAuY9OckJOYmmn1r1pxbg2f+ecamtzQ2wPKEWmladBwCv2HDrIrhqfOEu9aybrFVpaF/wyvLdi88+xyKky5ZHCv566+RvWmTxKuj6oSJOiIiR7LhA8uSdJelngJW2HCqfVQHY1MDWbo+Dag11scJs7wjWakMJYBHCBDUAPAMAbRuxrqAstTpbvwz5RTwz7vWx/v3Q+DScevjEBER0XVE0ualf19Ccl6yVV1ZfzlqYsd3C3Sp0UVaLI1Kjd79H7Q6jlqlRgP/BpBJBRXCPcJR26c2vPXe0IsVChJ1CO+g/Jm+ZClytm2zLpjBgIuvTIWhlLp2REzUERE5ivTzwD9vWx9n/y/AKStmaJVH7w40HyknlnsA0MjyTmLXibkV0mUnAEmHAZ0bMOZnY/MGWbP1Wo03frz9G6Ck0PqYJUXAtq+tj0NERETXWXl6JbbGb7X6rry3/T1kixqzNtAqpBXq+sppLNalRleEeYZJidUtshtkEstpL2RfwMn0k2gU0Ai/Df4NbULbSIld07sm2oe1Vz5O+X6OlJiFZ88ia+06KbGoemGijojIUez41sSadCbY+iVspvMTgNvVGh4W6/kKoHWRcUVAeAsgohVsIvW0cUmx6NDqJWGJbet7Ab9o48f7F0Ga/T/Li0VERESKeYfmSbkTorHCshPLbHZXn2r9lNUx9Go9Hm35KGQRnW9dNJLGejfYdHETRiwfgcF1Byuz96z1SMtHlMYZ+adOIf+gvG61GcuXS4tF1QcTdUREjuLgUnmxjq4EivJhE57BwMAPrFsKWv9WoNU9Mq8K6PuW7WrLiS5gvz8NtBpn3Tn8awO9XzN+nBkPZJyXdonITgLS4+TFIyIicnJJOUnYnbRbWrw/z/wJW+kY0RHDY4ZbFePhlg+jtm9tadfk6+qLyc0mw1ZS8lKUmYp31b/Lqjj9a/VHr+heysd5+/dDptz9+6TGo+qBiToiIkeQnwlcOiYvnpiZl3AANtNoMND/HcuSdTU7A3fOkn9NUe2ATvKeApdat0501+3zP8uSdT6RwJhFgN7D+PfkE9Iv0SYxiYiInNSBZLljqUPJh5Sad7byXNvn0K9mP4uOvbfxvbinkeSHqADGNxqPFsEtYMtknWj2Maj2IIuO7xDWAa91+u8hKoCC02ckXp1Y/nrOpq85OSYm6oiIHEHaOaXyhvQlm7bUdhIw5hfAu4Zp+6s0wC2PX5+skq3ny1frv9lCVrxx5tqon8xbBluvDzBxFeBf6/pZerKJWnVEREQkxfms83KHEYVZSMtPg61o1BpM6zJNWQbrqnE16RhfF19M7zwdj7V6zGbX9EmPT9AksAlsZf359Uqi7olWT5i81Faj0mB84/GY0XPGdccYSkwbnxVpXJCv90GhtoIxrUjSFdtgzEcOTVvVF0BERCbO1nKEmDeq2xN4cDOw83vjbLPkUmYF6j2BJncC7SYDwbG2vR6VChj0IVCjNbDyeSA/Xf45ds4Buj1n/L63fAns+A7IiCt79mC7+4HYUp7yugfKvzYPG8QkIiJyUiU2GEvZIua1RL22uxvdjZ7RPTH/0HwsPbG01ORgqEcohtYbimExw+DvKqH2cDl8XHwwq+8sfLLrE8w9NNcm92DBkQX4qMdH6B7VHXMOzMFvJ39DTlFOqXX4etfsjXsa3oPYgJvHpVo/vzLPke5dExfCbkGab13kugVd+byuIAM+GacRGr8Fgcl7ob7m+1N7e0OlZVqGrqcyVME8y4yMDPj4+CA9PR3e3t6VfXoiIseTfQl4p47cmOOWAzVvsS5GXgZwej1wYbdxhl5uqnE2nKi1Vr8fENES0Fwz+MhMAOL3ArlpgEYHBNYHgmIAtQaVLivJ2KBj11wgTe4yBtz7BxBl7AyGkhLg0hHg4h7j6yi+V3F/wpoDXiFlxxBPbN+MAIpy5VyTRg88dx7Q6k0+hO/XzoOvNRGR+VaeWomn/rG+ScO1SaLNozdDp9ZZFafwwgXkbNuGvEOHkZUcj/SSbORG+MMQWxdRnfogyjvqyr4iHXA28yyOpx5HXnEePHQeiPGLkdbZ1VzHUo9h/uH5SjfdzIJMaXHFDMLNozYrM/iEvKI8HEk9giMpR5BblKvMmhOdcUVyTtyDsuRs344zY8Ze97k8Fz8cjhmFFP+GFV6HW04iGhz5AX7px5W/u3doj+hvvzXre+F7dvXH1C0RkSMQM6G8IyQ2F1ABoU0tP1w0Olg7Ddj7I1CYXfo+G943LmdtMBDo+H9AZBtjYsqrN+yCZxDQ9Wnj9m6McdmqLCJxeTlRp1YbZwqaO1tQDCRrdQaOSSosHd3JrCQdERERla+0GVfWqO9X36okXe7evUiaMQPZ6zcYHxT+x+2/TTjh+x5mdfCE98jhGNlwtJKQi/aOVjZ7UM+vHl7u8DLubng3Bi2xrK5caUQS8mT6SSW+4Kp1RbOgZspmDtfGjZVZcCUZGcrfU3xjsK/xJBRrL9/h8uW6B2NX80dQ+9SvqHn2L3h07GjBd0PVHWvUERE5inoSE1wiieRq4Yzm/b8AM9oZZ6OVlaS7ts7aoaXAN72AX//POAPPHmUnyo2XeVFOnNb3yokjOxYREREhyitK2WS5pYZlKx0MxcVIfO99nB45Ctnr/rkuSXej0DRg+O9ZqPvMN5j07SDMPTjXLpsZJOUmyY+ZY31MtasrfIcMvrLUdW+TySYn6a5QqXGy9mCci+4F36FDrb4mqn6YqCMichRtJsqL1XqCZcdt/Qr4eQKQl2ZZ7bZZfYEsyUkxKVSSw0mKV68vENVBTqyMC3LiEBERkUKlUik13GQQzQvurHenRUm6808+ieSvvjKrKUG9i8AL32Zj7u/T8Oz6Z1FsYpOEyqKSPTYzBpXCf8IEGHwDcSB2HEpEaRELHa91O1KzrVvmTNUTE3VERI4itAnQdIT1cSJaAY3vMP+4k+uAFaIOixVPXRMPAnOHAkX5sCt+kpd7+EqKJ5bNthonJ9bfrwE5KXJiERERkUIk6mTMqhNLPUM8yqldW4akTz9F5u8rLTqnbw7w7E/F+PvIckzfNh32pIZXDfkxPeXE1AUHI+nOF5F3TcMISxigxj/zj0i5JqpemKgjInIk/aYBPpGWHy86rN7+mfnNGwqygV8fsi5Jd5loJiHq29kT0dhBJlG7TzSOkOHQMjlxxDLlXd/LiUVEREQKN60b3rjlDWjVlpd/F3XTHmzxoNnH5R08iOSvvrbqlQhJA0atLVEaOGy8sBH2QnSdld1tdtGxRVJmDhYXluBEgruUa4o/mYHEM3ZaGoaqDBN1RESOxM0PGLsY8Aq3LEk3cj4Q3MD8Y3fPA9LOQpqNHwMZkuq4yRA7UG68sxuNy3xF0w1rFOQARy17Sl6qA4vlxSIiIiJFi+AWeLvL2xYl62p618TnvT5Xuo6a69LnXwBFRVa/Cr13GeCTZcC729+FPbkl3LKafWX5Zv83Spdea5N1cUdTkZtZKO26ju+wx7IwVJXY9ZWIyNEE1gPuWwMse8T0JE54C2DwTPM7j162YzakKikCds4Guj1b8b7ndwBx24Gkw8Ylsy7eQGhjY+22gDpyrufkWkiXfBxYMAqY8Jf5Mxgvi99nvFeyJBwAigrY/ZWIiEiy3tG9MfvW2Xjx3xdxKv2USccMrD0Qz7Z9Fj4uPmafryg5GZmrV0MGbQnQfa8BSzyPYUfCDrQKaVXu/oXFhdgWvw0Hkg8gLisOJYYSBLoFItY/Fm1D28LX1dfqa8orysPupN2Q7a8zf+HDnR/iidZPWBwjSfIMuMQzmVLjkeNjoo6IyBF5hQKjFgJH/wS2fgmc+BswlNLhq0YbY+OIpsMsTxblpgEJ+yHdsT/LTtSJ7mO75gKbPjUm6MpSszPQ9WmgVhfLr+PISmOjC1sQSUYxe/CWxyw7PtW0gb7JiguAjDjAv7bcuERERISmQU3x06CfsPT4Uiw8shBHU4/edFfErLvukd0xssFItAltY/Fdy9m5U8psussanjVgSUdgfdz6MhN1OYU5+Hrf1/jl2C9IySu97q1erUffmn3xQPMHrKoz9/Guj3E2U+JqjmvMOTgHvaJ7oVlQM4uOT0/KlXo96Uk5UuOR42OijojIkdXvY9zys4y131LPGOvIiUSeqLvmLqG2h5Kkk1Cb7qa4B4DiIkBzw1uRWBK7+H7g1LqKY5xeD5zeALQeD9w6DdCauWykpARY+QxsasMHQNv7Ab0FtUxs0YFNfM9ERERkE2IJq2gwIbZLuZdwMPkgUvNSoVapEeUdhRi/GLhqXa0+T/6hch5kWqBmonGsJ663NLsTdyvdYc9nnS83TkFJAZadXIZVZ1fhqTZP4a76d5l9LWczzuKHQz/AVsQMwJl7ZipLji1R2rNxa8iOR46PiToiourAxROI7mjcZMuzUYHbojwgNxXwvKZjVnoc8G1/IE0kHE1lALbPAlJOGWcZmpOsO74KSD0Nm8pLBw4sAlqMMf9YD+u6iZUeM1B+TCIiIrqJWA7apYYVs/7LUZwpd7mke77xz6TcpJu+tvH8Rjy85mHkF/+3kwlyi3Lx2qbXkJSTpMyuM8ePR35Ukmm2JL6nuMw4i2b9uXnppF6Lu7deajxyfGwmQURE5dPacPCgUl39WMyumz/SzCTdNU6uAVY8Zd4xR5ajUpxab9lxYZYtySiTX03Azfq6MURERFS1VHq5yaLCMiqkiGTWY2sfMytJdy0xc+33U7+bdcyac2tgawYYsD1hu0XHBkV5Sb2WoEhPqfHI8TFRR0RE5QuyoEusqV1o3a5ZmrvhfePyXWuIBhUnzBjcXZBfpLhUln5fXiFASGN511Gnp7xYREREVGVc6tSVGi/uvwn3EZ4R133+lY2vIKfIuhpqb255s8yadjfKLMjEucxzqAyHUyxbPhwR4we15pqHzVaKbBggLRZVD0zUERFR+XxqAJ6h8u9SaFNA/d/bUEE2sPFTOXHXvW36vmKpbWUQDTks1WaCvOuQGYuIiIiqjFtzubPuj4cZE08NAxpe+dz2+O3YGr/V6thp+WlYcHiBSfvGZ8crs90qQ0a+ZeVdPHxcULu5nPIk7j561G7OsiR0PSbqiIioYs1GyL9LDW+7+vGBxUB+upy4ZzcCSUdgVzRWLE9pPlrOrMamw4GQRtbHISIioirnUrs2XJs0kRZvbVNjakB0Q71MdHeV5Zejv8BgqJwEnKl0VozP2g6qBY3O+nRK+9trQ61hWoaux58IIiKqWJuJgNZN7rLX5qOu/v30v3JfBdEJ1tTZgpUhsL7lx4rmGIM/AzRW1Ar0jgD6Tbf8eCIiIrI7AePHSYmzL1qFMyEqtApphfp+V8cs2+K3QZbE3EScyai4DnGoRyhUkLestDy1vGtZfKxfqIeSZLNGzSYBiO0YblUMqp6YqCMioor5RgI9XpR3p3q+Arj6XP17/D65r4Kp8cKbo1JEtLTy+FbAnd9alqwTy5bHLgbc/Ky7BiIiIrIr3v37w7NbN6ti5GuBL29VQ6vW4rm2z135fFpeGhJyEiDT4dSKa8J56b0Q6RWJytAo0LqVBs17RaF57yiLjg2v54s+EyXWIaZqhYk6IiIyTfsHgNhB1t+ten2AtpOu/1yepGWvl5lacySmP2xPZVx2aq3YgcC4FUBAPdOPqd0dmPQ3EBRj/fmJiIjI7oT97w3oo6MtOrYEwOf91UjwV+HhFg8jxj/muqYOsmUVZJm0X7dI65KPphBNM8QMQmt1GloX3cc2gN5Na9L+KhXQrEckBj3cDDqXMlrtktNjoo6IiEwjGj+IWV2iZpo1XUfvmm0cpVxLa8WyztJoXEzbr25vwNeywa3J6t8KBNSREyuyDTB5A3Dr9PKX00bfYrzPdy+pvOW9REREVOm0AQGImjMHro3Mmx2WpwM+vl2NfxupMbnZZIxvPF5a/bay6E1cGTA8ZjjUKtumKkbHjpZ2joadwjHy5XZo0ScKrp6l3ze1VoV6bUJw57OtccuwetDqmKSjspmW9iUiIhLEoE3USxMz0X5/BsgwsWuq1tW4dLb9g1c7vV5LNEtIPi7vHps6g0xci6jdNt8GzTIEvRfQ/x25MXWuQPvJxi31DHBxN5CZYEx++tUyLuf1YPcwIiIiZ6ELCUbNhQuQ/PXXSPzqK6iyc8rdf1dtFb7uq4Y6PBQzO07FLRG33LRPiHsIvHReyCyUN7Oujo9pDy6jvKMwqsEozD00F7bQKKCREl8mTz8XdLyjrlK3LjU+B5fOZSI/twgarRr+YR4IjPKCTs/kHJmGiToiIrJsGaZI1h37E9j1PXBmI5CXBhjEIorLVMaEWeOhQMt7AK+Q8muwHf5N3ish4pkqph/Q8m5g5xxIJZ7S3v6psb6frfhFGzciIiJyaiqtFoGTJ8N/7Fik/rYMp9f8hrxDh6DJykWhxoDz/iqcCAc2N3WFf0wT/F/dwehXqx9cxcPU0uKpVGgc2BibLm6Scn2uGlfU8zO9fMcjLR/B5oubcTxN4oNcAP6u/pjeZTo0atskzUQH14AIT2UjshQTdUREZBkxGy3mVuN2WcZFIDtJjFKMS0pdTBykNB0GrH4DMBRb/2qI80Z3Mu+YAR8ABTnA/p8hhc7DmKRrNFhOPCIiIiITqD08EDB8hLIJJYYSnM88j8DCLLTVuuAZryilcYQpBtUZJC1R17dmX5OXvgoigfhVn68w6c9J0pJ1oi7djJ4zEO3Nh5xk31ijjoiI5PEOA8KaAiGNTE/SCaKOmqyklmh6Udry2vJotMDQr4H+7xqTbNYQDRym/As0vsO6OERERERWEnXYIr0jERsQi9o+tU1O0l1OroV6hFr9GmhUGoxtONbs4wLdAvFD/x+UmnUqsVLDQuJ7HhEzAotuW4Q6vpLqBhPZkMpgMBhQyTIyMuDj44P09HR4e3tX9umJiMgeiTprn7UDclMtjxHRGpjwp3FGn8XXEQ/s+A7YPQ9IO3P918Tg1isUcPEBsi8Zu8tqXYDgWONy2+ajjEnKaoLv186DrzUREZVmw/kNmLJqilU3RzSqeLzV41bFOJxyGAsOL8Cqs6uQnp9+07LaYPdgZcZeYk4iCooL4KX3UrrYis6ug+sOVpJ+1QXfs6s/JuqIiMh+HF8FzBsBlBSaf6xnKHDvSsC/lrzryU4GLh0BivIAVx8guJGxmYOT4EDQefC1JiKisny882N8te8ri25Qm9A2+LzX52Yte61IXGYczmedhwEGBLkFoZZPLZt3ibUnfM+u/lijjoiI7EfdXsDIBcAvE4zNKUwVUA8YtVBukk7wCAA8OsqNSURERORAHm75sFIz7rPdn6HYjHrC3SO7K40bZCbphBpeNZSNqLpynrQzERE5hnq9gAe3AA1vN3ZOLY/WDej4MDB5AxDAmiNEREREtnBf0/swp98cxPrHVrivWGb6Rqc38HGPj+EmxmpEZBbOqCMiIvsj6sANmwOkngb2LATitgFJh41LUF28gdAmQHRHY7dYN7+qvloiIiKiaq9pUFP8OOhH7E7cjT9O/4GDyQeVZahilp1IzjUMaIhOEZ3QI6oHdGpdVV8ukcNioo6IiOyXX02g2zNVfRVERERE9J/mwc2VjYhsg0tfiYiIiIiIiIiI7AATdURERERERERERHaAiToiIiIiIiIiIiI7wEQdERERERERERGRszaTMBgMyp8ZGRlVcXoiIiIyweX36cvv21R9cWxGRETkGDg+q/6qJFGXmZmp/BkZGVkVpyciIiIz37d9fHx4z6oxjs2IiIgcC8dn1ZfKUAWPyUtKSnDhwgV4eXlBpVJV9umJiIjIBGKIIAaB4eHhUKtZLaM649iMiIjIMXB8Vv1VSaKOiIiIiIiIiIiIrsfH40RERERERERERHaAiToiIiIiIiIiIiI7wEQdERERERERERGRHWCijoiIiIiIiIiIyA4wUUfkZLp164ZHH330ps9/99138PX1VT6eOnWq0pH51ltvvWm/d955R/maiHOjuLg46PV6NG7cuNRzi+Mubz4+PujUqRNWr1595ev//PMPBg0apHSYFPssWbLEyu+WiIiIyL5xbEZERNdioo6IShUWFoY1a9YoybdrzZo1C1FRUaUeI5J9w4YNQ0ZGBrZs2VLqPt9++y0uXryIf//9F4GBgRg4cCBOnjypfC07OxvNmjXDjBkz+KoQERERcWxGROR0mKgjolIFBwejT58+mD179pXPbdy4EZcuXcKAAQNu2t9gMChJuLFjx2LUqFH45ptvSo0rZu2FhoYqs+5mzpyJ3Nxc/PXXX8rX+vXrhzfeeANDhgzhq0JERETEsRkRkdNhoo6IynTvvfcqs+SunU03evRoZXnrjcTsu5ycHPTq1QtjxozBggULlBly5XFzc1P+LCgo4KtAREREVAGOzYiIqj8m6oioTGJZqljGKmrHiaTbjz/+qAwQSyNm0I0YMQIajUaZLVe7dm389NNPZcYWSb0XX3xR2b9r1658FYiIiIgqwLEZEVH1p63qCyAi+6XT6ZTZcWJJq6gjV79+fTRt2vSm/dLS0rBo0SJs2LDhyufEcSJ5N27cuOv2HTlypJKcE0teg4KClH1Ki0lEREREHJsRETkbJuqInIy3tzfS09NLTbaJTqw3EjPo2rVrh/3795c5m27evHnIy8tT9ru2Zl1JSQmOHj2qJPgu++CDD5TlseJcIlFHRERE5Mw4NiMiomtx6SuRk4mJicHOnTtv+rz43LUJtcsaNWqkbCJRJ5pElEbMinviiSewe/fuK9uePXvQuXNnpa7dtUQjibp16zJJR0RERMSxGRER3YAz6oiczJQpU/Dpp5/i4YcfxsSJE+Hi4oLly5dj/vz5WLZsWanHrF69GoWFhUrH1huJpJxI8v3www9o0KDBTctcX3vtNaWTq1Zb8X83WVlZOH78+JW/nzp1Sonv7++PqKgoi75fIiIiInvGsRkREV2LM+qInIxo8iCaQxw+fFhZgiqWq4omEaLxw6233lrqMR4eHqUm6S7PpmvYsOFNSTphyJAhSExMxIoVK0y6tu3bt6NFixbKJjz++OPKxy+//LJZ3yMRERGRo+DYjIiIrqUyiEJSREREREREREREVKU4o46IiIiIiIiIiMgOMFFHRERERERERERkB5ioIyIiIiIiIiIisgNM1BEREREREREREdkBJuqIiIiIiIiIiIjsABN1REREREREREREdoCJOiIiIiIiIiIiIjvARB0REREREREREZEdYKKOiIiIiIiIiIjIDjBRR0REREREREREZAeYqCMiIiIiIiIiIrIDTNQRERERERERERGh6v0/fymnCwdAra0AAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } ], - "text/plain": [ - " correlation p_value p_value_adj -log_p_value_adj\n", - "PB 0.451239 3.131071e-08 5.322821e-07 14.446092\n", - "PLT 0.435727 1.028075e-07 5.825759e-07 14.355806\n", - "DC -0.438586 8.293978e-08 5.825759e-07 14.355806\n", - "cMono 0.430760 1.485891e-07 6.315037e-07 14.275162\n", - "MAIT -0.422133 2.778327e-07 9.446311e-07 13.872471\n", - "HSC 0.339631 4.902797e-05 1.389126e-04 8.881666\n", - "NK -0.333424 6.850823e-05 1.663771e-04 8.701253\n", - "iNKT -0.298163 4.019908e-04 8.542304e-04 7.065310\n", - "CD8 -0.291742 5.421241e-04 1.024012e-03 6.884027\n", - "DN -0.238690 4.970933e-03 7.682351e-03 4.868830\n", - "GDT -0.240101 4.712976e-03 7.682351e-03 4.868830\n", - "DP -0.231360 6.524369e-03 9.242856e-03 4.683904\n", - "ncMono -0.220700 9.553095e-03 1.249251e-02 4.382626\n", - "RET 0.205614 1.593459e-02 1.934915e-02 3.945107\n", - "CD4 -0.193011 2.383841e-02 2.701686e-02 3.611294\n", - "B 0.172737 4.353834e-02 4.625949e-02 3.073489\n", - "Mast -0.051713 5.484133e-01 5.484133e-01 0.600726" + "source": [ + "# Set obsm key so that standart umap plotting uses this representation\n", + "meta_adata.obsm[\"umap\"] = meta_adata.obsm[f\"{representation}_UMAP\"]\n", + "# Plot UMAP, just like in scanpy. Note that every dot is a donor here!\n", + "ep.pl.umap(meta_adata, color=[f\"{representation}_leiden\", \"Source\"])" ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cell_type_corrs = patpy.tl.correlate_composition(\n", - " meta_adata=meta_adata,\n", - " expression_adata=adata,\n", - " sample_key=sample_key,\n", - " cell_type_key=cell_type_key,\n", - " target=\"dpt_pseudotime\",\n", - ")\n", - "cell_type_corrs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that in the [COMBAT paper](https://pubmed.ncbi.nlm.nih.gov/35216673/), authors define the following hallmarks of COVID severity:\n", - "- Increased level of plasmoblasts (PB), classical monocytes (cMono), platelets (PLT), hemapoetic stem cells (HSCs)\n", - "- Decreased levels of dendritic cells (DC), NK cells, T\n", - "\n", - "This is precicely what we see! Interestingly, But for MAIT, our results contradict the paper: they suggest that this cell type should be positively correlated with severity." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "But are there particular cell states or gene progrmas that explain COVID? To find them, let's take a look at the average gene expression within each cell type, and correlate it with our severity score" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "1 samples removed: U00504-Ua005E-PBUa\n" - ] - } - ], - "source": [ - "expression_dpt_correlation_df = patpy.tl.correlate_cell_type_expression(\n", - " meta_adata=meta_adata,\n", - " expression_adata=adata,\n", - " sample_key=sample_key,\n", - " cell_type_key=cell_type_key,\n", - " target=\"dpt_pseudotime\",\n", - " layer=\"X\",\n", - " min_sample_size=500,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "source_palette = {\n", + " \"Healthy\": \"#1f77b4\", # HV\n", + " \"Mild\": \"#ff9999\", # COVID_MILD\n", + " \"Severe\": \"#ff4c4c\", # COVID_SEV\n", + " \"Critical\": sns.color_palette(\"Reds\")[-1], # COVID_CRIT\n", + " # \"Other\": \"darkgrey\",\n", + " \"Sepsis\": \"#8c564b\", # Sepsis\n", + " \"Flu\": \"#ff7f0e\", # Flu\n", + "}" + ] + }, { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
cell_typegene_namecorrelationp_valuen_observationsp_value_adj-log_p_value_adj
9161cMonoS100A80.8843551.671033e-461378.079777e-4294.619210
11813cMonoNKG70.8766311.003818e-441372.426831e-4091.216818
11694cMonoMCEMP10.8685715.428303e-431378.748976e-3987.631882
11946cMonoLGALS10.8672831.002285e-421371.211562e-3887.306323
11277cMonoCYP19A10.8663001.593919e-421371.541384e-3887.065553
........................
49299MastCRLF2-0.0746056.344566e-01431.000000e+00-0.000000
49584MastLCN6-0.0746056.344566e-01431.000000e+00-0.000000
49651MastTCN1-0.0746056.344566e-01431.000000e+00-0.000000
49827MastGLRX3-0.0751516.319715e-01431.000000e+00-0.000000
49645MastPRG2-0.0756996.294827e-01431.000000e+00-0.000000
\n", - "

48352 rows × 7 columns

\n", - "
" + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "no_box = {\n", + " \"axes.spines.top\": False,\n", + " \"axes.spines.right\": False,\n", + " \"axes.spines.left\": False,\n", + " \"axes.spines.bottom\": False,\n", + " \"xtick.bottom\": False,\n", + " \"xtick.labelbottom\": False,\n", + " \"ytick.left\": False,\n", + " \"ytick.labelleft\": False,\n", + "}\n", + "plot_params = {\"figure.figsize\": (5, 5), \"figure.dpi\": 150, \"axes.grid\": False}\n", + "plot_params.update(no_box)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } ], - "text/plain": [ - " cell_type gene_name correlation p_value n_observations \\\n", - "9161 cMono S100A8 0.884355 1.671033e-46 137 \n", - "11813 cMono NKG7 0.876631 1.003818e-44 137 \n", - "11694 cMono MCEMP1 0.868571 5.428303e-43 137 \n", - "11946 cMono LGALS1 0.867283 1.002285e-42 137 \n", - "11277 cMono CYP19A1 0.866300 1.593919e-42 137 \n", - "... ... ... ... ... ... \n", - "49299 Mast CRLF2 -0.074605 6.344566e-01 43 \n", - "49584 Mast LCN6 -0.074605 6.344566e-01 43 \n", - "49651 Mast TCN1 -0.074605 6.344566e-01 43 \n", - "49827 Mast GLRX3 -0.075151 6.319715e-01 43 \n", - "49645 Mast PRG2 -0.075699 6.294827e-01 43 \n", - "\n", - " p_value_adj -log_p_value_adj \n", - "9161 8.079777e-42 94.619210 \n", - "11813 2.426831e-40 91.216818 \n", - "11694 8.748976e-39 87.631882 \n", - "11946 1.211562e-38 87.306323 \n", - "11277 1.541384e-38 87.065553 \n", - "... ... ... \n", - "49299 1.000000e+00 -0.000000 \n", - "49584 1.000000e+00 -0.000000 \n", - "49651 1.000000e+00 -0.000000 \n", - "49827 1.000000e+00 -0.000000 \n", - "49645 1.000000e+00 -0.000000 \n", - "\n", - "[48352 rows x 7 columns]" + "source": [ + "with plt.rc_context(plot_params):\n", + " sns.scatterplot(\n", + " x=meta_adata.obsm[f\"{representation}_UMAP\"][:, 0],\n", + " y=meta_adata.obsm[f\"{representation}_UMAP\"][:, 1],\n", + " hue=meta_adata.obs[\"Source\"],\n", + " palette=source_palette,\n", + " hue_order=source_palette.keys(),\n", + " s=150,\n", + " )\n", + " plt.legend(loc=(1.05, 0.6), title=\"Condition\")" ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "expression_dpt_correlation_df" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ + }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note how all the healthy donors group together, and the severity gradient to the top. This is remarkable because sample representation methods knows nothing about donors condition and only evaluates how similar their transcriptomics profiles are. There are also some mild and even a septic patient grouping together with healthy. Are those errors of the method or misannotations?" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.histplot(expression_dpt_correlation_df[\"correlation\"]);" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ + }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With ehrapy, we can apply some single-cell methods to our data. For example, having a sample representation, we can discover trajectories in it via diffusion pseudotime. For this, we need to set the start of trajectory. Let's take a look at the lowest patient on the UMAP:" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.histplot(expression_dpt_correlation_df[\"p_value\"]);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The p-values distribution above is not uniform, and has a peak around 0, which suggests that there are some genes with statistically significant correlation. Let's take a look at top correlated genes:" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
cell_typegene_namecorrelationp_valuen_observationsp_value_adj-log_p_value_adj
9161cMonoS100A80.8843551.671033e-461378.079777e-4294.619210
11813cMonoNKG70.8766311.003818e-441372.426831e-4091.216818
11694cMonoMCEMP10.8685715.428303e-431378.748976e-3987.631882
11946cMonoLGALS10.8672831.002285e-421371.211562e-3887.306323
11277cMonoCYP19A10.8663001.593919e-421371.541384e-3887.065553
10655cMonoMS4A4A0.8636945.352660e-421374.313530e-3886.036477
9159cMonoS100A90.8482464.359564e-391373.011338e-3579.488094
10026cMonoHLA-DMB-0.8446711.849540e-381371.117862e-3478.176475
10528cMonoALDH1A1-0.8442982.146335e-381371.153106e-3478.145434
9160cMonoS100A120.8163515.465913e-341372.642878e-3068.105684
10417cMonoCLU0.8112882.856435e-331371.255585e-2966.547366
10894cMonoTROAP0.8107603.383662e-331371.363390e-2966.464993
9011cMonoENO10.8092445.490735e-331372.042215e-2966.060932
11035cMonoRNASE20.8048942.149305e-321377.423085e-2964.770373
10918cMonoMETTL7B0.8044432.471023e-321377.965261e-2964.699878
10679cMonoCFL10.8014596.164316e-321371.862856e-2863.850272
10623cMonoLDHA0.7931667.222266e-311372.054182e-2761.449920
10921cMonoMYL6B0.7846907.972819e-301372.141676e-2659.105624
11347cMonoCIITA-0.7689815.193181e-281371.321583e-2454.983212
10599cMonoCTSD0.7658731.141259e-271372.759108e-2454.247135
10030cMonoHLA-DPB1-0.7641231.768498e-271374.071925e-2453.857926
7616ncMonoADM0.7629422.371437e-271375.211987e-2453.611081
10545cMonoSEC61B0.7624142.701950e-271375.602700e-2453.538794
10665cMonoFTH1-0.7622982.780956e-271375.602700e-2453.538794
10444cMonoGGH0.7619243.049297e-271375.897585e-2453.487499
9758cMonoANXA30.7586926.721239e-271371.249944e-2352.736359
11034cMonoRNASE30.7554601.463405e-261372.620688e-2351.996020
10179cMonoHSPB10.7551621.571551e-261372.713844e-2351.961091
11441cMonoTXNDC170.7526512.850176e-261374.752128e-2351.400865
10386cMonoHMGB30.7511624.043102e-261376.516403e-2351.085135
9287cMonoCENPF0.7509814.218092e-261376.579135e-2351.075554
10696cMonoFOLR2-0.7506954.509140e-261376.813311e-2351.040579
9191cMonoCD1C-0.7504894.731778e-261376.933059e-2351.023156
11650cMonoSLPI0.7472221.007990e-251371.433480e-2250.296767
10552cMonoTXN0.7465881.165624e-251371.610293e-2250.180456
9174cMonoFDPS0.7426492.849516e-251373.827217e-2249.314734
9355cMonoBOLA30.7407224.387039e-251375.733030e-2248.910628
10021cMonoHLA-DQA1-0.7379268.147764e-251371.036739e-2148.318207
14921CD4MIF0.7376988.568028e-251371.062260e-2148.293888
10018cMonoHLA-DRA-0.7346411.669887e-241372.018560e-2147.651903
9866cMonoMEF2C-0.7343191.790537e-241372.111611e-2147.606836
10166cMonoSEC61G0.7306223.959189e-241374.557969e-2146.837410
11566cMonoBIRC50.7297684.747083e-241375.337930e-2146.679449
10848cMonoCLEC4A-0.7286865.969285e-241376.559701e-2146.473342
13623CD4LDHA0.7255401.154193e-231371.240167e-2045.836456
9228cMonoF50.7243691.471996e-231371.547260e-2045.615216
10916cMonoZNF385A-0.7242291.515288e-231371.558876e-2045.607737
11573cMonoP4HB0.7228142.028650e-231372.043527e-2045.337025
11667cMonoSLCO4A10.7203623.350763e-231373.306451e-2044.855826
10826cMonoMKI670.7195803.927259e-231373.733561e-2044.734339
\n", - "
" + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Healthy'" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } ], - "text/plain": [ - " cell_type gene_name correlation p_value n_observations \\\n", - "9161 cMono S100A8 0.884355 1.671033e-46 137 \n", - "11813 cMono NKG7 0.876631 1.003818e-44 137 \n", - "11694 cMono MCEMP1 0.868571 5.428303e-43 137 \n", - "11946 cMono LGALS1 0.867283 1.002285e-42 137 \n", - "11277 cMono CYP19A1 0.866300 1.593919e-42 137 \n", - "10655 cMono MS4A4A 0.863694 5.352660e-42 137 \n", - "9159 cMono S100A9 0.848246 4.359564e-39 137 \n", - "10026 cMono HLA-DMB -0.844671 1.849540e-38 137 \n", - "10528 cMono ALDH1A1 -0.844298 2.146335e-38 137 \n", - "9160 cMono S100A12 0.816351 5.465913e-34 137 \n", - "10417 cMono CLU 0.811288 2.856435e-33 137 \n", - "10894 cMono TROAP 0.810760 3.383662e-33 137 \n", - "9011 cMono ENO1 0.809244 5.490735e-33 137 \n", - "11035 cMono RNASE2 0.804894 2.149305e-32 137 \n", - "10918 cMono METTL7B 0.804443 2.471023e-32 137 \n", - "10679 cMono CFL1 0.801459 6.164316e-32 137 \n", - "10623 cMono LDHA 0.793166 7.222266e-31 137 \n", - "10921 cMono MYL6B 0.784690 7.972819e-30 137 \n", - "11347 cMono CIITA -0.768981 5.193181e-28 137 \n", - "10599 cMono CTSD 0.765873 1.141259e-27 137 \n", - "10030 cMono HLA-DPB1 -0.764123 1.768498e-27 137 \n", - "7616 ncMono ADM 0.762942 2.371437e-27 137 \n", - "10545 cMono SEC61B 0.762414 2.701950e-27 137 \n", - "10665 cMono FTH1 -0.762298 2.780956e-27 137 \n", - "10444 cMono GGH 0.761924 3.049297e-27 137 \n", - "9758 cMono ANXA3 0.758692 6.721239e-27 137 \n", - "11034 cMono RNASE3 0.755460 1.463405e-26 137 \n", - "10179 cMono HSPB1 0.755162 1.571551e-26 137 \n", - "11441 cMono TXNDC17 0.752651 2.850176e-26 137 \n", - "10386 cMono HMGB3 0.751162 4.043102e-26 137 \n", - "9287 cMono CENPF 0.750981 4.218092e-26 137 \n", - "10696 cMono FOLR2 -0.750695 4.509140e-26 137 \n", - "9191 cMono CD1C -0.750489 4.731778e-26 137 \n", - "11650 cMono SLPI 0.747222 1.007990e-25 137 \n", - "10552 cMono TXN 0.746588 1.165624e-25 137 \n", - "9174 cMono FDPS 0.742649 2.849516e-25 137 \n", - "9355 cMono BOLA3 0.740722 4.387039e-25 137 \n", - "10021 cMono HLA-DQA1 -0.737926 8.147764e-25 137 \n", - "14921 CD4 MIF 0.737698 8.568028e-25 137 \n", - "10018 cMono HLA-DRA -0.734641 1.669887e-24 137 \n", - "9866 cMono MEF2C -0.734319 1.790537e-24 137 \n", - "10166 cMono SEC61G 0.730622 3.959189e-24 137 \n", - "11566 cMono BIRC5 0.729768 4.747083e-24 137 \n", - "10848 cMono CLEC4A -0.728686 5.969285e-24 137 \n", - "13623 CD4 LDHA 0.725540 1.154193e-23 137 \n", - "9228 cMono F5 0.724369 1.471996e-23 137 \n", - "10916 cMono ZNF385A -0.724229 1.515288e-23 137 \n", - "11573 cMono P4HB 0.722814 2.028650e-23 137 \n", - "11667 cMono SLCO4A1 0.720362 3.350763e-23 137 \n", - "10826 cMono MKI67 0.719580 3.927259e-23 137 \n", - "\n", - " p_value_adj -log_p_value_adj \n", - "9161 8.079777e-42 94.619210 \n", - "11813 2.426831e-40 91.216818 \n", - "11694 8.748976e-39 87.631882 \n", - "11946 1.211562e-38 87.306323 \n", - "11277 1.541384e-38 87.065553 \n", - "10655 4.313530e-38 86.036477 \n", - "9159 3.011338e-35 79.488094 \n", - "10026 1.117862e-34 78.176475 \n", - "10528 1.153106e-34 78.145434 \n", - "9160 2.642878e-30 68.105684 \n", - "10417 1.255585e-29 66.547366 \n", - "10894 1.363390e-29 66.464993 \n", - "9011 2.042215e-29 66.060932 \n", - "11035 7.423085e-29 64.770373 \n", - "10918 7.965261e-29 64.699878 \n", - "10679 1.862856e-28 63.850272 \n", - "10623 2.054182e-27 61.449920 \n", - "10921 2.141676e-26 59.105624 \n", - "11347 1.321583e-24 54.983212 \n", - "10599 2.759108e-24 54.247135 \n", - "10030 4.071925e-24 53.857926 \n", - "7616 5.211987e-24 53.611081 \n", - "10545 5.602700e-24 53.538794 \n", - "10665 5.602700e-24 53.538794 \n", - "10444 5.897585e-24 53.487499 \n", - "9758 1.249944e-23 52.736359 \n", - "11034 2.620688e-23 51.996020 \n", - "10179 2.713844e-23 51.961091 \n", - "11441 4.752128e-23 51.400865 \n", - "10386 6.516403e-23 51.085135 \n", - "9287 6.579135e-23 51.075554 \n", - "10696 6.813311e-23 51.040579 \n", - "9191 6.933059e-23 51.023156 \n", - "11650 1.433480e-22 50.296767 \n", - "10552 1.610293e-22 50.180456 \n", - "9174 3.827217e-22 49.314734 \n", - "9355 5.733030e-22 48.910628 \n", - "10021 1.036739e-21 48.318207 \n", - "14921 1.062260e-21 48.293888 \n", - "10018 2.018560e-21 47.651903 \n", - "9866 2.111611e-21 47.606836 \n", - "10166 4.557969e-21 46.837410 \n", - "11566 5.337930e-21 46.679449 \n", - "10848 6.559701e-21 46.473342 \n", - "13623 1.240167e-20 45.836456 \n", - "9228 1.547260e-20 45.615216 \n", - "10916 1.558876e-20 45.607737 \n", - "11573 2.043527e-20 45.337025 \n", - "11667 3.306451e-20 44.855826 \n", - "10826 3.733561e-20 44.734339 " + "source": [ + "control_donor_idx = meta_adata.obsm[f\"{representation}_UMAP\"][:, 1].argmin()\n", + "control_donor = meta_adata.obs_names[control_donor_idx]\n", + "meta_adata.obs.loc[control_donor, \"Source\"]" ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "expression_dpt_correlation_df.head(50)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This list is largely dominated by classical monocytes. Look at the top correlated gene! In the paper, authors write that S100A8 is a known biomarker, and its expression in cMonocytes correlates with severity. Other markers they mention (`S100A9`, `S100A12`, negative marker `HLA-DRA`) can also be found in the table. Thus, our severity score works" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's visualize the correlated genes in classical monocytes as they by far dominate in the table. Average expression per sample is now stored in `meta_adata.obsm` in keys `{cell_type}_pseudobulk`. This is controlled by the argument `keep_pseudobulks_in_data` in `patpy.tl.correlate_cell_type_expression`, set it to `False` if you want to save memory" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Some variables are stored in `meta_adata.X` rather then in `.obs`. You can check which ones by running `meta_adata.var_names`" + ] + }, { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
SAMD11ISG15TNFRSF18TNFRSF4TMEM240PRDM16SMIM1ACOT7HES2TAS1R1...S100BMT-CO1MT-CO2MT-CO3MT-ND6MT-CYBAC136616.2AC141272.1AC233755.2AC233755.1
scRNASeq_sample_ID
S00078-Ja003E-PBCa0.0000000.6663050.0011830.0010260.0000000.00.0078250.0013360.0000000.000000...0.0022014.2526304.0546013.4593660.2536072.7837570.00.0000000.0081520.024226
G05064-Ja005E-PBCa0.0000000.3294580.0000000.0017160.0000000.00.0097520.0069730.0000000.000000...0.0053613.9372093.9334483.2381840.1207642.7598630.00.0000000.0087780.001008
N00027-Ja001E-PBGa0.0000000.1612100.0000000.0013940.0000000.00.0155520.0016090.0000000.000000...0.0100474.2484344.1939653.5020210.2040992.7441230.00.0000000.0120550.003364
N00040-Ja001E-PBGa0.0002150.1862560.0008750.0006370.0000000.00.0020570.0239470.0002040.000218...0.0054974.0303713.8318723.5753250.5842622.5728930.00.0002190.0055520.018434
S00066-Ja001E-PBCa0.0000000.7020430.0007790.0002010.0000000.00.0087730.0085800.0004070.000000...0.0032744.1062303.8343743.5951630.7074362.9598600.00.0002550.0127510.018012
..................................................................
G05112-Ja005E-PBCa0.0000002.7833150.0000000.0029900.0000000.00.0053210.0041470.0000000.000000...0.0018523.4018073.2980672.5674720.2320051.9624880.00.0000000.0080890.004275
S00042-Ja001E-PBCa0.0000000.0760100.0007000.0000000.0000000.00.0112000.0079010.0000000.000987...0.0032224.2307164.0378773.9883720.5132972.7901640.00.0000000.0086930.024193
S00067-Ja001E-PBCa0.0000000.4039140.0000000.0024250.0005410.00.0090770.0056030.0009260.000000...0.0309014.0865123.8056103.6051040.4341912.7200780.00.0000000.0324810.014675
N00006-Ja003E-PBGa0.0000000.2196910.0000000.0007390.0000000.00.0187130.0006410.0000000.000000...0.0017204.6945154.3400004.0508960.7067533.3694460.00.0000000.0109990.023512
S00113-Ja005E-PBCa0.0000000.5068330.0000000.0000000.0000000.00.0078880.0104690.0000000.000000...0.0015304.0453234.3251614.0054320.6714653.2108870.00.0000000.0187590.026449
\n", - "

137 rows × 3000 columns

\n", - "
" + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "ArrayView([[74., 0., 5., 0.]], dtype=float32)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } ], - "text/plain": [ - " SAMD11 ISG15 TNFRSF18 TNFRSF4 TMEM240 PRDM16 \\\n", - "scRNASeq_sample_ID \n", - "S00078-Ja003E-PBCa 0.000000 0.666305 0.001183 0.001026 0.000000 0.0 \n", - "G05064-Ja005E-PBCa 0.000000 0.329458 0.000000 0.001716 0.000000 0.0 \n", - "N00027-Ja001E-PBGa 0.000000 0.161210 0.000000 0.001394 0.000000 0.0 \n", - "N00040-Ja001E-PBGa 0.000215 0.186256 0.000875 0.000637 0.000000 0.0 \n", - "S00066-Ja001E-PBCa 0.000000 0.702043 0.000779 0.000201 0.000000 0.0 \n", - "... ... ... ... ... ... ... \n", - "G05112-Ja005E-PBCa 0.000000 2.783315 0.000000 0.002990 0.000000 0.0 \n", - "S00042-Ja001E-PBCa 0.000000 0.076010 0.000700 0.000000 0.000000 0.0 \n", - "S00067-Ja001E-PBCa 0.000000 0.403914 0.000000 0.002425 0.000541 0.0 \n", - "N00006-Ja003E-PBGa 0.000000 0.219691 0.000000 0.000739 0.000000 0.0 \n", - "S00113-Ja005E-PBCa 0.000000 0.506833 0.000000 0.000000 0.000000 0.0 \n", - "\n", - " SMIM1 ACOT7 HES2 TAS1R1 ... S100B \\\n", - "scRNASeq_sample_ID ... \n", - "S00078-Ja003E-PBCa 0.007825 0.001336 0.000000 0.000000 ... 0.002201 \n", - "G05064-Ja005E-PBCa 0.009752 0.006973 0.000000 0.000000 ... 0.005361 \n", - "N00027-Ja001E-PBGa 0.015552 0.001609 0.000000 0.000000 ... 0.010047 \n", - "N00040-Ja001E-PBGa 0.002057 0.023947 0.000204 0.000218 ... 0.005497 \n", - "S00066-Ja001E-PBCa 0.008773 0.008580 0.000407 0.000000 ... 0.003274 \n", - "... ... ... ... ... ... ... \n", - "G05112-Ja005E-PBCa 0.005321 0.004147 0.000000 0.000000 ... 0.001852 \n", - "S00042-Ja001E-PBCa 0.011200 0.007901 0.000000 0.000987 ... 0.003222 \n", - "S00067-Ja001E-PBCa 0.009077 0.005603 0.000926 0.000000 ... 0.030901 \n", - "N00006-Ja003E-PBGa 0.018713 0.000641 0.000000 0.000000 ... 0.001720 \n", - "S00113-Ja005E-PBCa 0.007888 0.010469 0.000000 0.000000 ... 0.001530 \n", - "\n", - " MT-CO1 MT-CO2 MT-CO3 MT-ND6 MT-CYB \\\n", - "scRNASeq_sample_ID \n", - "S00078-Ja003E-PBCa 4.252630 4.054601 3.459366 0.253607 2.783757 \n", - "G05064-Ja005E-PBCa 3.937209 3.933448 3.238184 0.120764 2.759863 \n", - "N00027-Ja001E-PBGa 4.248434 4.193965 3.502021 0.204099 2.744123 \n", - "N00040-Ja001E-PBGa 4.030371 3.831872 3.575325 0.584262 2.572893 \n", - "S00066-Ja001E-PBCa 4.106230 3.834374 3.595163 0.707436 2.959860 \n", - "... ... ... ... ... ... \n", - "G05112-Ja005E-PBCa 3.401807 3.298067 2.567472 0.232005 1.962488 \n", - "S00042-Ja001E-PBCa 4.230716 4.037877 3.988372 0.513297 2.790164 \n", - "S00067-Ja001E-PBCa 4.086512 3.805610 3.605104 0.434191 2.720078 \n", - "N00006-Ja003E-PBGa 4.694515 4.340000 4.050896 0.706753 3.369446 \n", - "S00113-Ja005E-PBCa 4.045323 4.325161 4.005432 0.671465 3.210887 \n", - "\n", - " AC136616.2 AC141272.1 AC233755.2 AC233755.1 \n", - "scRNASeq_sample_ID \n", - "S00078-Ja003E-PBCa 0.0 0.000000 0.008152 0.024226 \n", - "G05064-Ja005E-PBCa 0.0 0.000000 0.008778 0.001008 \n", - "N00027-Ja001E-PBGa 0.0 0.000000 0.012055 0.003364 \n", - "N00040-Ja001E-PBGa 0.0 0.000219 0.005552 0.018434 \n", - "S00066-Ja001E-PBCa 0.0 0.000255 0.012751 0.018012 \n", - "... ... ... ... ... \n", - "G05112-Ja005E-PBCa 0.0 0.000000 0.008089 0.004275 \n", - "S00042-Ja001E-PBCa 0.0 0.000000 0.008693 0.024193 \n", - "S00067-Ja001E-PBCa 0.0 0.000000 0.032481 0.014675 \n", - "N00006-Ja003E-PBGa 0.0 0.000000 0.010999 0.023512 \n", - "S00113-Ja005E-PBCa 0.0 0.000000 0.018759 0.026449 \n", - "\n", - "[137 rows x 3000 columns]" + "source": [ + "meta_adata[control_donor, [\"Age\", \"Sex\", \"BMI\", \"Smoking\"]].X" ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cmono_expression_df = meta_adata.obsm[\"cMono_pseudobulk\"]\n", - "cmono_expression_df" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ + }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ok, so we have a 74-years old non-smoking individual. Perhaps, somebody younger would be a better control but this should be a good start. Also, the dataset has a bit of bias for the older population:" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "top_genes = expression_dpt_correlation_df.sort_values([\"p_value\", \"correlation\"]).head(15)\n", - "pseudotime = meta_adata.obs[\"dpt_pseudotime\"]\n", - "\n", - "# Set up the plot\n", - "fig, axes = plt.subplots(3, 5, figsize=(15, 9))\n", - "fig.suptitle(\"Cell Type gene expression vs Pseudotime\", fontsize=16)\n", - "\n", - "# Flatten the axes array for easier iteration\n", - "axes_flat = axes.flatten()\n", - "\n", - "# Plot scatterplots for each significant cell type\n", - "for i, (_, row) in enumerate(top_genes.iterrows()):\n", - " ax = axes_flat[i]\n", - "\n", - " gene_expression = cmono_expression_df.loc[pseudotime.index, row[\"gene_name\"]]\n", - " sns.scatterplot(x=pseudotime, y=gene_expression, ax=ax, alpha=0.6)\n", - "\n", - " # Add regression line\n", - " sns.regplot(x=pseudotime, y=gene_expression, ax=ax, scatter=False, color=\"red\")\n", - "\n", - " # Set title with correlation value\n", - " correlation = row[\"correlation\"]\n", - " ax.set_title(f\"{row['gene_name']}\\nr = {correlation:.2f}\", fontsize=10)\n", - "\n", - " # Set labels\n", - " ax.set_xlabel(\"Pseudotime\", fontsize=8)\n", - " ax.set_ylabel(\"Expression\", fontsize=8)\n", - "\n", - " # Adjust tick label size\n", - " ax.tick_params(axis=\"both\", which=\"major\", labelsize=6)\n", - "\n", - "# Remove any unused subplots\n", - "for j in range(i + 1, len(axes_flat)):\n", - " fig.delaxes(axes_flat[j])\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are certainly non-linear dependencies but S100A8 is a great marker indeed. Let's take a look how it alone explains the severity:" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "gene_expression = cmono_expression_df.loc[pseudotime.index, \"S100A8\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "Text(0, 0.5, '')" + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.histplot(meta_adata[:, \"Age\"].X)" ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's set this individual as a root for pseudotime, and run the diffusion:" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.boxplot(\n", - " x=gene_expression.loc[meta_adata.obs_names],\n", - " y=meta_adata.obs[\"Source\"],\n", - " palette=source_palette,\n", - " order=[key for key in source_palette.keys() if key in meta_adata.obs[\"Source\"].unique()],\n", - ")\n", - "plt.xlabel(\"Gene expression\")\n", - "plt.ylabel(\"\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Well, our score works a bit better but this is definitely a good marker!\n", - "\n", - "We can also visualize results on a volcano plot:" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WARNING: Trying to run `tl.dpt` without prior call of `tl.diffmap`. Falling back to `tl.diffmap` with default parameters.\n" + ] + } + ], + "source": [ + "meta_adata.uns[\"iroot\"] = np.flatnonzero(meta_adata.obs_names == control_donor)[0]\n", + "ep.tl.dpt(meta_adata, neighbors_key=f\"{representation}_neighbors\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We now have a contunuous score from 0 (for the root we set) to 1 (for a most dissimilar sample), putting every donor on a continuous trajectory" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with plt.rc_context(plot_params):\n", + " sns.scatterplot(\n", + " x=meta_adata.obsm[f\"{representation}_UMAP\"][:, 0],\n", + " y=meta_adata.obsm[f\"{representation}_UMAP\"][:, 1],\n", + " hue=meta_adata.obs[\"dpt_pseudotime\"],\n", + " s=150,\n", + " palette=\"Reds\",\n", + " )\n", + " plt.legend(loc=(1.05, 0.6), title=\"Diffusion pseudotime\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "But is this score meaningful? Let's take a look at how it corresponds to the severity:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, '')" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.boxplot(\n", + " x=meta_adata.obs[\"dpt_pseudotime\"],\n", + " y=meta_adata.obs[\"Source\"],\n", + " palette=source_palette,\n", + " order=[key for key in source_palette.keys() if key in meta_adata.obs[\"Source\"].unique()],\n", + ")\n", + "plt.xlabel(\"Diffusion pseudotime (severity score)\")\n", + "plt.ylabel(\"\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We see that higher severity patients have a higher pseudotime score! But instead of a coarse clinical resolution, we now have a continuous trajectory. We now can take a look at what correlates with this trajectory. It could be:\n", + "- Cell type proportions\n", + "- Gene expression\n", + "\n", + "For the former, let's calculate cell type composition for each patient. You can easily do it with `patpy` package:" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
correlationp_valuep_value_adj-log_p_value_adj
PB0.4512393.131071e-085.322821e-0714.446092
PLT0.4357271.028075e-075.825759e-0714.355806
DC-0.4385868.293978e-085.825759e-0714.355806
cMono0.4307601.485891e-076.315037e-0714.275162
MAIT-0.4221332.778327e-079.446311e-0713.872471
HSC0.3396314.902797e-051.389126e-048.881666
NK-0.3334246.850823e-051.663771e-048.701253
iNKT-0.2981634.019908e-048.542304e-047.065310
CD8-0.2917425.421241e-041.024012e-036.884027
DN-0.2386904.970933e-037.682351e-034.868830
GDT-0.2401014.712976e-037.682351e-034.868830
DP-0.2313606.524369e-039.242856e-034.683904
ncMono-0.2207009.553095e-031.249251e-024.382626
RET0.2056141.593459e-021.934915e-023.945107
CD4-0.1930112.383841e-022.701686e-023.611294
B0.1727374.353834e-024.625949e-023.073489
Mast-0.0517135.484133e-015.484133e-010.600726
\n", + "
" + ], + "text/plain": [ + " correlation p_value p_value_adj -log_p_value_adj\n", + "PB 0.451239 3.131071e-08 5.322821e-07 14.446092\n", + "PLT 0.435727 1.028075e-07 5.825759e-07 14.355806\n", + "DC -0.438586 8.293978e-08 5.825759e-07 14.355806\n", + "cMono 0.430760 1.485891e-07 6.315037e-07 14.275162\n", + "MAIT -0.422133 2.778327e-07 9.446311e-07 13.872471\n", + "HSC 0.339631 4.902797e-05 1.389126e-04 8.881666\n", + "NK -0.333424 6.850823e-05 1.663771e-04 8.701253\n", + "iNKT -0.298163 4.019908e-04 8.542304e-04 7.065310\n", + "CD8 -0.291742 5.421241e-04 1.024012e-03 6.884027\n", + "DN -0.238690 4.970933e-03 7.682351e-03 4.868830\n", + "GDT -0.240101 4.712976e-03 7.682351e-03 4.868830\n", + "DP -0.231360 6.524369e-03 9.242856e-03 4.683904\n", + "ncMono -0.220700 9.553095e-03 1.249251e-02 4.382626\n", + "RET 0.205614 1.593459e-02 1.934915e-02 3.945107\n", + "CD4 -0.193011 2.383841e-02 2.701686e-02 3.611294\n", + "B 0.172737 4.353834e-02 4.625949e-02 3.073489\n", + "Mast -0.051713 5.484133e-01 5.484133e-01 0.600726" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cell_type_corrs = patpy.tl.correlate_composition(\n", + " meta_adata=meta_adata,\n", + " expression_adata=adata,\n", + " sample_key=sample_key,\n", + " cell_type_key=cell_type_key,\n", + " target=\"dpt_pseudotime\",\n", + ")\n", + "cell_type_corrs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that in the [COMBAT paper](https://pubmed.ncbi.nlm.nih.gov/35216673/), authors define the following hallmarks of COVID severity:\n", + "- Increased level of plasmoblasts (PB), classical monocytes (cMono), platelets (PLT), hemapoetic stem cells (HSCs)\n", + "- Decreased levels of dendritic cells (DC), NK cells, T\n", + "\n", + "This is precicely what we see! Interestingly, But for MAIT, our results contradict the paper: they suggest that this cell type should be positively correlated with severity." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "But are there particular cell states or gene progrmas that explain COVID? To find them, let's take a look at the average gene expression within each cell type, and correlate it with our severity score" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 samples removed: U00504-Ua005E-PBUa\n" + ] + } + ], + "source": [ + "expression_dpt_correlation_df = patpy.tl.correlate_cell_type_expression(\n", + " meta_adata=meta_adata,\n", + " expression_adata=adata,\n", + " sample_key=sample_key,\n", + " cell_type_key=cell_type_key,\n", + " target=\"dpt_pseudotime\",\n", + " layer=\"X\",\n", + " min_sample_size=500,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
cell_typegene_namecorrelationp_valuen_observationsp_value_adj-log_p_value_adj
9161cMonoS100A80.8843551.671033e-461378.079777e-4294.619210
11813cMonoNKG70.8766311.003818e-441372.426831e-4091.216818
11694cMonoMCEMP10.8685715.428303e-431378.748976e-3987.631882
11946cMonoLGALS10.8672831.002285e-421371.211562e-3887.306323
11277cMonoCYP19A10.8663001.593919e-421371.541384e-3887.065553
........................
49299MastCRLF2-0.0746056.344566e-01431.000000e+00-0.000000
49584MastLCN6-0.0746056.344566e-01431.000000e+00-0.000000
49651MastTCN1-0.0746056.344566e-01431.000000e+00-0.000000
49827MastGLRX3-0.0751516.319715e-01431.000000e+00-0.000000
49645MastPRG2-0.0756996.294827e-01431.000000e+00-0.000000
\n", + "

48352 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " cell_type gene_name correlation p_value n_observations \\\n", + "9161 cMono S100A8 0.884355 1.671033e-46 137 \n", + "11813 cMono NKG7 0.876631 1.003818e-44 137 \n", + "11694 cMono MCEMP1 0.868571 5.428303e-43 137 \n", + "11946 cMono LGALS1 0.867283 1.002285e-42 137 \n", + "11277 cMono CYP19A1 0.866300 1.593919e-42 137 \n", + "... ... ... ... ... ... \n", + "49299 Mast CRLF2 -0.074605 6.344566e-01 43 \n", + "49584 Mast LCN6 -0.074605 6.344566e-01 43 \n", + "49651 Mast TCN1 -0.074605 6.344566e-01 43 \n", + "49827 Mast GLRX3 -0.075151 6.319715e-01 43 \n", + "49645 Mast PRG2 -0.075699 6.294827e-01 43 \n", + "\n", + " p_value_adj -log_p_value_adj \n", + "9161 8.079777e-42 94.619210 \n", + "11813 2.426831e-40 91.216818 \n", + "11694 8.748976e-39 87.631882 \n", + "11946 1.211562e-38 87.306323 \n", + "11277 1.541384e-38 87.065553 \n", + "... ... ... \n", + "49299 1.000000e+00 -0.000000 \n", + "49584 1.000000e+00 -0.000000 \n", + "49651 1.000000e+00 -0.000000 \n", + "49827 1.000000e+00 -0.000000 \n", + "49645 1.000000e+00 -0.000000 \n", + "\n", + "[48352 rows x 7 columns]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "expression_dpt_correlation_df" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.histplot(expression_dpt_correlation_df[\"correlation\"]);" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.histplot(expression_dpt_correlation_df[\"p_value\"]);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The p-values distribution above is not uniform, and has a peak around 0, which suggests that there are some genes with statistically significant correlation. Let's take a look at top correlated genes:" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
cell_typegene_namecorrelationp_valuen_observationsp_value_adj-log_p_value_adj
9161cMonoS100A80.8843551.671033e-461378.079777e-4294.619210
11813cMonoNKG70.8766311.003818e-441372.426831e-4091.216818
11694cMonoMCEMP10.8685715.428303e-431378.748976e-3987.631882
11946cMonoLGALS10.8672831.002285e-421371.211562e-3887.306323
11277cMonoCYP19A10.8663001.593919e-421371.541384e-3887.065553
10655cMonoMS4A4A0.8636945.352660e-421374.313530e-3886.036477
9159cMonoS100A90.8482464.359564e-391373.011338e-3579.488094
10026cMonoHLA-DMB-0.8446711.849540e-381371.117862e-3478.176475
10528cMonoALDH1A1-0.8442982.146335e-381371.153106e-3478.145434
9160cMonoS100A120.8163515.465913e-341372.642878e-3068.105684
10417cMonoCLU0.8112882.856435e-331371.255585e-2966.547366
10894cMonoTROAP0.8107603.383662e-331371.363390e-2966.464993
9011cMonoENO10.8092445.490735e-331372.042215e-2966.060932
11035cMonoRNASE20.8048942.149305e-321377.423085e-2964.770373
10918cMonoMETTL7B0.8044432.471023e-321377.965261e-2964.699878
10679cMonoCFL10.8014596.164316e-321371.862856e-2863.850272
10623cMonoLDHA0.7931667.222266e-311372.054182e-2761.449920
10921cMonoMYL6B0.7846907.972819e-301372.141676e-2659.105624
11347cMonoCIITA-0.7689815.193181e-281371.321583e-2454.983212
10599cMonoCTSD0.7658731.141259e-271372.759108e-2454.247135
10030cMonoHLA-DPB1-0.7641231.768498e-271374.071925e-2453.857926
7616ncMonoADM0.7629422.371437e-271375.211987e-2453.611081
10545cMonoSEC61B0.7624142.701950e-271375.602700e-2453.538794
10665cMonoFTH1-0.7622982.780956e-271375.602700e-2453.538794
10444cMonoGGH0.7619243.049297e-271375.897585e-2453.487499
9758cMonoANXA30.7586926.721239e-271371.249944e-2352.736359
11034cMonoRNASE30.7554601.463405e-261372.620688e-2351.996020
10179cMonoHSPB10.7551621.571551e-261372.713844e-2351.961091
11441cMonoTXNDC170.7526512.850176e-261374.752128e-2351.400865
10386cMonoHMGB30.7511624.043102e-261376.516403e-2351.085135
9287cMonoCENPF0.7509814.218092e-261376.579135e-2351.075554
10696cMonoFOLR2-0.7506954.509140e-261376.813311e-2351.040579
9191cMonoCD1C-0.7504894.731778e-261376.933059e-2351.023156
11650cMonoSLPI0.7472221.007990e-251371.433480e-2250.296767
10552cMonoTXN0.7465881.165624e-251371.610293e-2250.180456
9174cMonoFDPS0.7426492.849516e-251373.827217e-2249.314734
9355cMonoBOLA30.7407224.387039e-251375.733030e-2248.910628
10021cMonoHLA-DQA1-0.7379268.147764e-251371.036739e-2148.318207
14921CD4MIF0.7376988.568028e-251371.062260e-2148.293888
10018cMonoHLA-DRA-0.7346411.669887e-241372.018560e-2147.651903
9866cMonoMEF2C-0.7343191.790537e-241372.111611e-2147.606836
10166cMonoSEC61G0.7306223.959189e-241374.557969e-2146.837410
11566cMonoBIRC50.7297684.747083e-241375.337930e-2146.679449
10848cMonoCLEC4A-0.7286865.969285e-241376.559701e-2146.473342
13623CD4LDHA0.7255401.154193e-231371.240167e-2045.836456
9228cMonoF50.7243691.471996e-231371.547260e-2045.615216
10916cMonoZNF385A-0.7242291.515288e-231371.558876e-2045.607737
11573cMonoP4HB0.7228142.028650e-231372.043527e-2045.337025
11667cMonoSLCO4A10.7203623.350763e-231373.306451e-2044.855826
10826cMonoMKI670.7195803.927259e-231373.733561e-2044.734339
\n", + "
" + ], + "text/plain": [ + " cell_type gene_name correlation p_value n_observations \\\n", + "9161 cMono S100A8 0.884355 1.671033e-46 137 \n", + "11813 cMono NKG7 0.876631 1.003818e-44 137 \n", + "11694 cMono MCEMP1 0.868571 5.428303e-43 137 \n", + "11946 cMono LGALS1 0.867283 1.002285e-42 137 \n", + "11277 cMono CYP19A1 0.866300 1.593919e-42 137 \n", + "10655 cMono MS4A4A 0.863694 5.352660e-42 137 \n", + "9159 cMono S100A9 0.848246 4.359564e-39 137 \n", + "10026 cMono HLA-DMB -0.844671 1.849540e-38 137 \n", + "10528 cMono ALDH1A1 -0.844298 2.146335e-38 137 \n", + "9160 cMono S100A12 0.816351 5.465913e-34 137 \n", + "10417 cMono CLU 0.811288 2.856435e-33 137 \n", + "10894 cMono TROAP 0.810760 3.383662e-33 137 \n", + "9011 cMono ENO1 0.809244 5.490735e-33 137 \n", + "11035 cMono RNASE2 0.804894 2.149305e-32 137 \n", + "10918 cMono METTL7B 0.804443 2.471023e-32 137 \n", + "10679 cMono CFL1 0.801459 6.164316e-32 137 \n", + "10623 cMono LDHA 0.793166 7.222266e-31 137 \n", + "10921 cMono MYL6B 0.784690 7.972819e-30 137 \n", + "11347 cMono CIITA -0.768981 5.193181e-28 137 \n", + "10599 cMono CTSD 0.765873 1.141259e-27 137 \n", + "10030 cMono HLA-DPB1 -0.764123 1.768498e-27 137 \n", + "7616 ncMono ADM 0.762942 2.371437e-27 137 \n", + "10545 cMono SEC61B 0.762414 2.701950e-27 137 \n", + "10665 cMono FTH1 -0.762298 2.780956e-27 137 \n", + "10444 cMono GGH 0.761924 3.049297e-27 137 \n", + "9758 cMono ANXA3 0.758692 6.721239e-27 137 \n", + "11034 cMono RNASE3 0.755460 1.463405e-26 137 \n", + "10179 cMono HSPB1 0.755162 1.571551e-26 137 \n", + "11441 cMono TXNDC17 0.752651 2.850176e-26 137 \n", + "10386 cMono HMGB3 0.751162 4.043102e-26 137 \n", + "9287 cMono CENPF 0.750981 4.218092e-26 137 \n", + "10696 cMono FOLR2 -0.750695 4.509140e-26 137 \n", + "9191 cMono CD1C -0.750489 4.731778e-26 137 \n", + "11650 cMono SLPI 0.747222 1.007990e-25 137 \n", + "10552 cMono TXN 0.746588 1.165624e-25 137 \n", + "9174 cMono FDPS 0.742649 2.849516e-25 137 \n", + "9355 cMono BOLA3 0.740722 4.387039e-25 137 \n", + "10021 cMono HLA-DQA1 -0.737926 8.147764e-25 137 \n", + "14921 CD4 MIF 0.737698 8.568028e-25 137 \n", + "10018 cMono HLA-DRA -0.734641 1.669887e-24 137 \n", + "9866 cMono MEF2C -0.734319 1.790537e-24 137 \n", + "10166 cMono SEC61G 0.730622 3.959189e-24 137 \n", + "11566 cMono BIRC5 0.729768 4.747083e-24 137 \n", + "10848 cMono CLEC4A -0.728686 5.969285e-24 137 \n", + "13623 CD4 LDHA 0.725540 1.154193e-23 137 \n", + "9228 cMono F5 0.724369 1.471996e-23 137 \n", + "10916 cMono ZNF385A -0.724229 1.515288e-23 137 \n", + "11573 cMono P4HB 0.722814 2.028650e-23 137 \n", + "11667 cMono SLCO4A1 0.720362 3.350763e-23 137 \n", + "10826 cMono MKI67 0.719580 3.927259e-23 137 \n", + "\n", + " p_value_adj -log_p_value_adj \n", + "9161 8.079777e-42 94.619210 \n", + "11813 2.426831e-40 91.216818 \n", + "11694 8.748976e-39 87.631882 \n", + "11946 1.211562e-38 87.306323 \n", + "11277 1.541384e-38 87.065553 \n", + "10655 4.313530e-38 86.036477 \n", + "9159 3.011338e-35 79.488094 \n", + "10026 1.117862e-34 78.176475 \n", + "10528 1.153106e-34 78.145434 \n", + "9160 2.642878e-30 68.105684 \n", + "10417 1.255585e-29 66.547366 \n", + "10894 1.363390e-29 66.464993 \n", + "9011 2.042215e-29 66.060932 \n", + "11035 7.423085e-29 64.770373 \n", + "10918 7.965261e-29 64.699878 \n", + "10679 1.862856e-28 63.850272 \n", + "10623 2.054182e-27 61.449920 \n", + "10921 2.141676e-26 59.105624 \n", + "11347 1.321583e-24 54.983212 \n", + "10599 2.759108e-24 54.247135 \n", + "10030 4.071925e-24 53.857926 \n", + "7616 5.211987e-24 53.611081 \n", + "10545 5.602700e-24 53.538794 \n", + "10665 5.602700e-24 53.538794 \n", + "10444 5.897585e-24 53.487499 \n", + "9758 1.249944e-23 52.736359 \n", + "11034 2.620688e-23 51.996020 \n", + "10179 2.713844e-23 51.961091 \n", + "11441 4.752128e-23 51.400865 \n", + "10386 6.516403e-23 51.085135 \n", + "9287 6.579135e-23 51.075554 \n", + "10696 6.813311e-23 51.040579 \n", + "9191 6.933059e-23 51.023156 \n", + "11650 1.433480e-22 50.296767 \n", + "10552 1.610293e-22 50.180456 \n", + "9174 3.827217e-22 49.314734 \n", + "9355 5.733030e-22 48.910628 \n", + "10021 1.036739e-21 48.318207 \n", + "14921 1.062260e-21 48.293888 \n", + "10018 2.018560e-21 47.651903 \n", + "9866 2.111611e-21 47.606836 \n", + "10166 4.557969e-21 46.837410 \n", + "11566 5.337930e-21 46.679449 \n", + "10848 6.559701e-21 46.473342 \n", + "13623 1.240167e-20 45.836456 \n", + "9228 1.547260e-20 45.615216 \n", + "10916 1.558876e-20 45.607737 \n", + "11573 2.043527e-20 45.337025 \n", + "11667 3.306451e-20 44.855826 \n", + "10826 3.733561e-20 44.734339 " + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "expression_dpt_correlation_df.head(50)" + ] + }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This list is largely dominated by classical monocytes. Look at the top correlated gene! In the paper, authors write that S100A8 is a known biomarker, and its expression in cMonocytes correlates with severity. Other markers they mention (`S100A9`, `S100A12`, negative marker `HLA-DRA`) can also be found in the table. Thus, our severity score works" ] - }, - "metadata": {}, - "output_type": "display_data" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's visualize the correlated genes in classical monocytes as they by far dominate in the table. Average expression per sample is now stored in `meta_adata.obsm` in keys `{cell_type}_pseudobulk`. This is controlled by the argument `keep_pseudobulks_in_data` in `patpy.tl.correlate_cell_type_expression`, set it to `False` if you want to save memory" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SAMD11ISG15TNFRSF18TNFRSF4TMEM240PRDM16SMIM1ACOT7HES2TAS1R1...S100BMT-CO1MT-CO2MT-CO3MT-ND6MT-CYBAC136616.2AC141272.1AC233755.2AC233755.1
scRNASeq_sample_ID
S00078-Ja003E-PBCa0.0000000.6663050.0011830.0010260.0000000.00.0078250.0013360.0000000.000000...0.0022014.2526304.0546013.4593660.2536072.7837570.00.0000000.0081520.024226
G05064-Ja005E-PBCa0.0000000.3294580.0000000.0017160.0000000.00.0097520.0069730.0000000.000000...0.0053613.9372093.9334483.2381840.1207642.7598630.00.0000000.0087780.001008
N00027-Ja001E-PBGa0.0000000.1612100.0000000.0013940.0000000.00.0155520.0016090.0000000.000000...0.0100474.2484344.1939653.5020210.2040992.7441230.00.0000000.0120550.003364
N00040-Ja001E-PBGa0.0002150.1862560.0008750.0006370.0000000.00.0020570.0239470.0002040.000218...0.0054974.0303713.8318723.5753250.5842622.5728930.00.0002190.0055520.018434
S00066-Ja001E-PBCa0.0000000.7020430.0007790.0002010.0000000.00.0087730.0085800.0004070.000000...0.0032744.1062303.8343743.5951630.7074362.9598600.00.0002550.0127510.018012
..................................................................
G05112-Ja005E-PBCa0.0000002.7833150.0000000.0029900.0000000.00.0053210.0041470.0000000.000000...0.0018523.4018073.2980672.5674720.2320051.9624880.00.0000000.0080890.004275
S00042-Ja001E-PBCa0.0000000.0760100.0007000.0000000.0000000.00.0112000.0079010.0000000.000987...0.0032224.2307164.0378773.9883720.5132972.7901640.00.0000000.0086930.024193
S00067-Ja001E-PBCa0.0000000.4039140.0000000.0024250.0005410.00.0090770.0056030.0009260.000000...0.0309014.0865123.8056103.6051040.4341912.7200780.00.0000000.0324810.014675
N00006-Ja003E-PBGa0.0000000.2196910.0000000.0007390.0000000.00.0187130.0006410.0000000.000000...0.0017204.6945154.3400004.0508960.7067533.3694460.00.0000000.0109990.023512
S00113-Ja005E-PBCa0.0000000.5068330.0000000.0000000.0000000.00.0078880.0104690.0000000.000000...0.0015304.0453234.3251614.0054320.6714653.2108870.00.0000000.0187590.026449
\n", + "

137 rows × 3000 columns

\n", + "
" + ], + "text/plain": [ + " SAMD11 ISG15 TNFRSF18 TNFRSF4 TMEM240 PRDM16 \\\n", + "scRNASeq_sample_ID \n", + "S00078-Ja003E-PBCa 0.000000 0.666305 0.001183 0.001026 0.000000 0.0 \n", + "G05064-Ja005E-PBCa 0.000000 0.329458 0.000000 0.001716 0.000000 0.0 \n", + "N00027-Ja001E-PBGa 0.000000 0.161210 0.000000 0.001394 0.000000 0.0 \n", + "N00040-Ja001E-PBGa 0.000215 0.186256 0.000875 0.000637 0.000000 0.0 \n", + "S00066-Ja001E-PBCa 0.000000 0.702043 0.000779 0.000201 0.000000 0.0 \n", + "... ... ... ... ... ... ... \n", + "G05112-Ja005E-PBCa 0.000000 2.783315 0.000000 0.002990 0.000000 0.0 \n", + "S00042-Ja001E-PBCa 0.000000 0.076010 0.000700 0.000000 0.000000 0.0 \n", + "S00067-Ja001E-PBCa 0.000000 0.403914 0.000000 0.002425 0.000541 0.0 \n", + "N00006-Ja003E-PBGa 0.000000 0.219691 0.000000 0.000739 0.000000 0.0 \n", + "S00113-Ja005E-PBCa 0.000000 0.506833 0.000000 0.000000 0.000000 0.0 \n", + "\n", + " SMIM1 ACOT7 HES2 TAS1R1 ... S100B \\\n", + "scRNASeq_sample_ID ... \n", + "S00078-Ja003E-PBCa 0.007825 0.001336 0.000000 0.000000 ... 0.002201 \n", + "G05064-Ja005E-PBCa 0.009752 0.006973 0.000000 0.000000 ... 0.005361 \n", + "N00027-Ja001E-PBGa 0.015552 0.001609 0.000000 0.000000 ... 0.010047 \n", + "N00040-Ja001E-PBGa 0.002057 0.023947 0.000204 0.000218 ... 0.005497 \n", + "S00066-Ja001E-PBCa 0.008773 0.008580 0.000407 0.000000 ... 0.003274 \n", + "... ... ... ... ... ... ... \n", + "G05112-Ja005E-PBCa 0.005321 0.004147 0.000000 0.000000 ... 0.001852 \n", + "S00042-Ja001E-PBCa 0.011200 0.007901 0.000000 0.000987 ... 0.003222 \n", + "S00067-Ja001E-PBCa 0.009077 0.005603 0.000926 0.000000 ... 0.030901 \n", + "N00006-Ja003E-PBGa 0.018713 0.000641 0.000000 0.000000 ... 0.001720 \n", + "S00113-Ja005E-PBCa 0.007888 0.010469 0.000000 0.000000 ... 0.001530 \n", + "\n", + " MT-CO1 MT-CO2 MT-CO3 MT-ND6 MT-CYB \\\n", + "scRNASeq_sample_ID \n", + "S00078-Ja003E-PBCa 4.252630 4.054601 3.459366 0.253607 2.783757 \n", + "G05064-Ja005E-PBCa 3.937209 3.933448 3.238184 0.120764 2.759863 \n", + "N00027-Ja001E-PBGa 4.248434 4.193965 3.502021 0.204099 2.744123 \n", + "N00040-Ja001E-PBGa 4.030371 3.831872 3.575325 0.584262 2.572893 \n", + "S00066-Ja001E-PBCa 4.106230 3.834374 3.595163 0.707436 2.959860 \n", + "... ... ... ... ... ... \n", + "G05112-Ja005E-PBCa 3.401807 3.298067 2.567472 0.232005 1.962488 \n", + "S00042-Ja001E-PBCa 4.230716 4.037877 3.988372 0.513297 2.790164 \n", + "S00067-Ja001E-PBCa 4.086512 3.805610 3.605104 0.434191 2.720078 \n", + "N00006-Ja003E-PBGa 4.694515 4.340000 4.050896 0.706753 3.369446 \n", + "S00113-Ja005E-PBCa 4.045323 4.325161 4.005432 0.671465 3.210887 \n", + "\n", + " AC136616.2 AC141272.1 AC233755.2 AC233755.1 \n", + "scRNASeq_sample_ID \n", + "S00078-Ja003E-PBCa 0.0 0.000000 0.008152 0.024226 \n", + "G05064-Ja005E-PBCa 0.0 0.000000 0.008778 0.001008 \n", + "N00027-Ja001E-PBGa 0.0 0.000000 0.012055 0.003364 \n", + "N00040-Ja001E-PBGa 0.0 0.000219 0.005552 0.018434 \n", + "S00066-Ja001E-PBCa 0.0 0.000255 0.012751 0.018012 \n", + "... ... ... ... ... \n", + "G05112-Ja005E-PBCa 0.0 0.000000 0.008089 0.004275 \n", + "S00042-Ja001E-PBCa 0.0 0.000000 0.008693 0.024193 \n", + "S00067-Ja001E-PBCa 0.0 0.000000 0.032481 0.014675 \n", + "N00006-Ja003E-PBGa 0.0 0.000000 0.010999 0.023512 \n", + "S00113-Ja005E-PBCa 0.0 0.000000 0.018759 0.026449 \n", + "\n", + "[137 rows x 3000 columns]" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cmono_expression_df = meta_adata.obsm[\"cMono_pseudobulk\"]\n", + "cmono_expression_df" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "top_genes = expression_dpt_correlation_df.sort_values([\"p_value\", \"correlation\"]).head(15)\n", + "pseudotime = meta_adata.obs[\"dpt_pseudotime\"]\n", + "\n", + "# Set up the plot\n", + "fig, axes = plt.subplots(3, 5, figsize=(15, 9))\n", + "fig.suptitle(\"Cell Type gene expression vs Pseudotime\", fontsize=16)\n", + "\n", + "# Flatten the axes array for easier iteration\n", + "axes_flat = axes.flatten()\n", + "\n", + "# Plot scatterplots for each significant cell type\n", + "for i, (_, row) in enumerate(top_genes.iterrows()):\n", + " ax = axes_flat[i]\n", + "\n", + " gene_expression = cmono_expression_df.loc[pseudotime.index, row[\"gene_name\"]]\n", + " sns.scatterplot(x=pseudotime, y=gene_expression, ax=ax, alpha=0.6)\n", + "\n", + " # Add regression line\n", + " sns.regplot(x=pseudotime, y=gene_expression, ax=ax, scatter=False, color=\"red\")\n", + "\n", + " # Set title with correlation value\n", + " correlation = row[\"correlation\"]\n", + " ax.set_title(f\"{row['gene_name']}\\nr = {correlation:.2f}\", fontsize=10)\n", + "\n", + " # Set labels\n", + " ax.set_xlabel(\"Pseudotime\", fontsize=8)\n", + " ax.set_ylabel(\"Expression\", fontsize=8)\n", + "\n", + " # Adjust tick label size\n", + " ax.tick_params(axis=\"both\", which=\"major\", labelsize=6)\n", + "\n", + "# Remove any unused subplots\n", + "for j in range(i + 1, len(axes_flat)):\n", + " fig.delaxes(axes_flat[j])\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are certainly non-linear dependencies but S100A8 is a great marker indeed. Let's take a look how it alone explains the severity:" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "gene_expression = cmono_expression_df.loc[pseudotime.index, \"S100A8\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, '')" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.boxplot(\n", + " x=gene_expression.loc[meta_adata.obs_names],\n", + " y=meta_adata.obs[\"Source\"],\n", + " palette=source_palette,\n", + " order=[key for key in source_palette.keys() if key in meta_adata.obs[\"Source\"].unique()],\n", + ")\n", + "plt.xlabel(\"Gene expression\")\n", + "plt.ylabel(\"\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Well, our score works a bit better but this is definitely a good marker!\n", + "\n", + "We can also visualize results on a volcano plot:" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "patpy.pl.correlation_volcano(expression_dpt_correlation_df, top_n=15);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In summary, we have seen an example of sample-level analysis that allowed us to obtain a continuous severity score, find potential errors in the original clinical annotation, and easily rediscover known markers. Applying such methods to less explored areas might help you discover something new. With `ehrapy` and `patpy` it only requires running a few lines of code" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "patients_representation", + "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": "3.10.12" } - ], - "source": [ - "patpy.pl.correlation_volcano(expression_dpt_correlation_df, top_n=15);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In summary, we have seen an example of sample-level analysis that allowed us to obtain a continuous severity score, find potential errors in the original clinical annotation, and easily rediscover known markers. Applying such methods to less explored areas might help you discover something new. With `ehrapy` and `patpy` it only requires running a few lines of code" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "patients_representation", - "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": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 2 + "nbformat": 4, + "nbformat_minor": 2 } diff --git a/differential_analysis.ipynb b/differential_analysis.ipynb index 8fa95ad..ff74290 100644 --- a/differential_analysis.ipynb +++ b/differential_analysis.ipynb @@ -1,2883 +1,2848 @@ { - "cells": [ - { - "cell_type": "markdown", - "id": "f2389925", - "metadata": {}, - "source": [ - "# Differential gene expression across condition combinations\n", - "\n", - "In clinical data analysis, we often need to run differential expression (DE)\n", - "across combinations of covariates: for example, comparing COVID-19 patients\n", - "to healthy volunteers *within each sex group* to understand whether the\n", - "transcriptional response to disease differs between men and women.\n", - "\n", - "`patpy` makes this easy with `ptc.ConditionComparison`. It handles:\n", - "- creating a combined condition label column\n", - "- enumerating all (or a selected subset of) observed pairwise contrasts\n", - "- running `model.compare_groups()` for each pair\n", - "- concatenating results with a `\"contrast\"` column\n", - "- storing a fitted model instance per contrast for pertpy's plotting API\n", - "\n", - "We use the **COMBAT COVID-19 cohort** (PBMC from ~140 donors) as a real-world\n", - "example, following the same pseudobulk pipeline as the\n", - "[pertpy DE tutorial](https://pertpy.readthedocs.io/en/stable/tutorials/notebooks/differential_gene_expression.html)." - ] - }, - { - "cell_type": "markdown", - "id": "d184fcde", - "metadata": {}, - "source": [ - "## Install\n", - "\n", - "```bash\n", - "pip install patpy pertpy pydeseq2\n", - "# For EdgeR (requires R):\n", - "pip install rpy2\n", - "# In R: BiocManager::install(\"edgeR\")\n", - "```" - ] - }, - { - "cell_type": "markdown", - "id": "f18e82b3", - "metadata": {}, - "source": [ - "## Import packages" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "0cb4d378", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/lustre/groups/ml01/workspace/lucas.arnoldt/cellink_patpy/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - }, - { - "data": { - "text/plain": [ - "'0.12.1'" + "cells": [ + { + "cell_type": "markdown", + "id": "f2389925", + "metadata": {}, + "source": [ + "# Differential gene expression across condition combinations\n", + "\n", + "In clinical data analysis, we often need to run differential expression (DE)\n", + "across combinations of covariates: for example, comparing COVID-19 patients\n", + "to healthy volunteers *within each sex group* to understand whether the\n", + "transcriptional response to disease differs between men and women.\n", + "\n", + "`patpy` makes this easy with `ptc.ConditionComparison`. It handles:\n", + "- creating a combined condition label column\n", + "- enumerating all (or a selected subset of) observed pairwise contrasts\n", + "- running `model.compare_groups()` for each pair\n", + "- concatenating results with a `\"contrast\"` column\n", + "- storing a fitted model instance per contrast for pertpy's plotting API\n", + "\n", + "We use the **COMBAT COVID-19 cohort** (PBMC from ~140 donors) as a real-world\n", + "example, following the same pseudobulk pipeline as the\n", + "[pertpy DE tutorial](https://pertpy.readthedocs.io/en/stable/tutorials/notebooks/differential_gene_expression.html)." ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pertpy as pt\n", - "import scanpy as sc\n", - "import pandas as pd\n", - "import numpy as np\n", - "import anndata as ad\n", - "import matplotlib.pyplot as plt\n", - "import warnings\n", - "\n", - "import patpy\n", - "import patpy.tl.condition_comparison as ptc\n", - "\n", - "warnings.filterwarnings(\"ignore\")\n", - "patpy.__version__" - ] - }, - { - "cell_type": "markdown", - "id": "8ef0a6f4", - "metadata": {}, - "source": [ - "## Load the COMBAT dataset\n", - "\n", - "The dataset contains 836k cells x 20,807 genes from ~140 PBMC donors spanning\n", - "healthy volunteers (HV) and COVID-19 patients at various severity levels." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "b8e88734", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "AnnData object with n_obs × n_vars = 836148 × 20807\n", - " obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID'\n", - " var: 'gene_ids', 'feature_types'\n", - " uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'genome_annotation_version'\n", - " obsm: 'X_umap', 'X_umap_source'\n", - " layers: 'raw'" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ADATA_PATH = \"/home/icb/lucas.arnoldt/workspace/projects/patpy/COMBAT-CITESeq-DATA.h5ad\"\n", - "adata = sc.read_h5ad(ADATA_PATH)\n", - "adata" - ] - }, - { - "cell_type": "markdown", - "id": "6b2169dd", - "metadata": {}, - "source": [ - "## Set column names" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "2836fcdd", - "metadata": {}, - "outputs": [], - "source": [ - "sample_id_col = \"scRNASeq_sample_ID\" # per-donor identifier\n", - "cell_type_key = \"Annotation_major_subset\" # broad cell type labels\n", - "source_col = \"Source\" # COVID_SEV / HV\n", - "sex_col = \"Sex\" # 0 = male, 1 = female" - ] - }, - { - "cell_type": "markdown", - "id": "f0fb99c1", - "metadata": {}, - "source": [ - "## Quality control\n", - "\n", - "Remove donors with fewer than 100 cells." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "a8eb308e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2 samples removed: G05092-Ja005E-PBCa, S00030-Ja003E-PBCa\n", - "138 donors after QC filtering\n" - ] - } - ], - "source": [ - "adata = patpy.pp.filter_small_samples(\n", - " adata, sample_key=sample_id_col, sample_size_threshold=100\n", - ")\n", - "print(f\"{adata.obs[sample_id_col].nunique()} donors after QC filtering\")\n", - "adata.layers[\"raw\"] = adata.layers[\"raw\"].todense()" - ] - }, - { - "cell_type": "markdown", - "id": "8d72448e", - "metadata": {}, - "source": [ - "## Subset to a manageable cohort\n", - "\n", - "We keep only **COVID-19 patients and healthy volunteers** and sample up to\n", - "**20 donors per source** so the analysis finishes quickly.\n", - "Remove this cell to run on the full dataset." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "e7650380", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "214,842 cells | 30 donors\n" - ] }, { - "data": { - "text/plain": [ - "Source\n", - "COVID_SEV 20\n", - "HV 10\n", - "Name: count, dtype: int64" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Restrict to Covid and HV sources only\n", - "adata = adata[adata.obs[source_col].isin([\"COVID_SEV\", \"HV\"])].copy()\n", - "\n", - "# Recode Sex to readable labels\n", - "adata.obs[sex_col] = adata.obs[sex_col].map({0: \"male\", 1: \"female\"})\n", - "\n", - "# Sample up to 20 donors per source so both groups are always present\n", - "rng = np.random.default_rng(42)\n", - "keep = []\n", - "for source, grp in adata.obs.groupby(source_col):\n", - " donors = grp[sample_id_col].unique()\n", - " sampled = rng.choice(donors, size=min(20, len(donors)), replace=False)\n", - " keep.extend(sampled)\n", - "\n", - "adata = adata[adata.obs[sample_id_col].isin(keep)].copy()\n", - "\n", - "print(f\"{adata.n_obs:,} cells | {adata.obs[sample_id_col].nunique()} donors\")\n", - "adata.obs[[sample_id_col, source_col]].drop_duplicates()[source_col].value_counts()" - ] - }, - { - "cell_type": "markdown", - "id": "df248e65", - "metadata": {}, - "source": [ - "## Create pseudobulk profiles\n", - "\n", - "DE models require integer counts aggregated at the donor level.\n", - "We use `patpy.tl.Pseudobulk` for aggregation and `patpy.pp.extract_metadata`\n", - "to build the donor-level obs DataFrame." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "eaf28824", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "sample_representation shape: (30, 20807)\n", - "donors: 30\n" - ] - } - ], - "source": [ - "pb = patpy.tl.Pseudobulk(\n", - " sample_key=sample_id_col,\n", - " cell_group_key=cell_type_key,\n", - " layer=\"raw\",\n", - ")\n", - "pb.prepare_anndata(adata)\n", - "pb.calculate_distance_matrix(aggregate=\"sum\")\n", - "print(f\"sample_representation shape: {pb.sample_representation.shape}\")\n", - "print(f\"donors: {len(pb.samples)}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "b1155a70", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
SourceSex
scRNASeq_sample_ID
S00056-Ja003E-PBCaCOVID_SEVmale
H00067-Ha001E-PBGaHVmale
S00028-Ja001E-PBCaCOVID_SEVmale
S00033-Ja001E-PBCaCOVID_SEVfemale
H00054-Ha001E-PBGaHVfemale
S00078-Ja003E-PBCaCOVID_SEVmale
S00042-Ja003E-PBCaCOVID_SEVmale
H00085-Ha001E-PBGaHVmale
S00056-Ja005E-PBCaCOVID_SEVmale
H00049-Ha001E-PBGaHVmale
S00041-Ja001E-PBCaCOVID_SEVfemale
S00005-Ja003E-PBCaCOVID_SEVmale
S00048-Ja005E-PBCaCOVID_SEVfemale
H00058-Ha001E-PBGaHVmale
S00037-Ja003E-PBCaCOVID_SEVfemale
S00064-Ja005E-PBCaCOVID_SEVfemale
S00033-Ja005E-PBCaCOVID_SEVfemale
S00045-Ja005E-PBCaCOVID_SEVfemale
H00072-Ha001E-PBGaHVmale
H00052-Ha001E-PBGaHVfemale
S00106-Ja003E-PBCaCOVID_SEVmale
S00077-Ja005E-PBCaCOVID_SEVmale
H00070-Ha001E-PBGaHVfemale
S00052-Ja003E-PBCaCOVID_SEVfemale
S00069-Ja005E-PBCaCOVID_SEVfemale
H00053-Ha001E-PBGaHVmale
S00053-Ja003E-PBCaCOVID_SEVfemale
S00033-Ja003E-PBCaCOVID_SEVfemale
H00064-Ha001E-PBGaHVfemale
S00048-Ja003E-PBCaCOVID_SEVfemale
\n", - "
" - ], - "text/plain": [ - " Source Sex\n", - "scRNASeq_sample_ID \n", - "S00056-Ja003E-PBCa COVID_SEV male\n", - "H00067-Ha001E-PBGa HV male\n", - "S00028-Ja001E-PBCa COVID_SEV male\n", - "S00033-Ja001E-PBCa COVID_SEV female\n", - "H00054-Ha001E-PBGa HV female\n", - "S00078-Ja003E-PBCa COVID_SEV male\n", - "S00042-Ja003E-PBCa COVID_SEV male\n", - "H00085-Ha001E-PBGa HV male\n", - "S00056-Ja005E-PBCa COVID_SEV male\n", - "H00049-Ha001E-PBGa HV male\n", - "S00041-Ja001E-PBCa COVID_SEV female\n", - "S00005-Ja003E-PBCa COVID_SEV male\n", - "S00048-Ja005E-PBCa COVID_SEV female\n", - "H00058-Ha001E-PBGa HV male\n", - "S00037-Ja003E-PBCa COVID_SEV female\n", - "S00064-Ja005E-PBCa COVID_SEV female\n", - "S00033-Ja005E-PBCa COVID_SEV female\n", - "S00045-Ja005E-PBCa COVID_SEV female\n", - "H00072-Ha001E-PBGa HV male\n", - "H00052-Ha001E-PBGa HV female\n", - "S00106-Ja003E-PBCa COVID_SEV male\n", - "S00077-Ja005E-PBCa COVID_SEV male\n", - "H00070-Ha001E-PBGa HV female\n", - "S00052-Ja003E-PBCa COVID_SEV female\n", - "S00069-Ja005E-PBCa COVID_SEV female\n", - "H00053-Ha001E-PBGa HV male\n", - "S00053-Ja003E-PBCa COVID_SEV female\n", - "S00033-Ja003E-PBCa COVID_SEV female\n", - "H00064-Ha001E-PBGa HV female\n", - "S00048-Ja003E-PBCa COVID_SEV female" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Build donor-level obs using patpy.pp.extract_metadata\n", - "donor_obs = patpy.pp.extract_metadata(\n", - " adata, sample_key=sample_id_col, columns=[source_col, sex_col]\n", - ")\n", - "donor_obs" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "8c346d85", - "metadata": {}, - "outputs": [], - "source": [ - "pdata = pb.to_adata(metadata=donor_obs)\n", - "pdata.var = adata.var" - ] - }, - { - "cell_type": "markdown", - "id": "e6e99f30", - "metadata": {}, - "source": [ - "## Explore axes of variation\n", - "\n", - "Before fitting any DE model it is useful to understand which covariates\n", - "drive variance in the pseudobulk profiles. We run PCA and use\n", - "`patpy.tl.associate_embedding_with_covariates` to test each PC against each\n", - "clinical variable, then visualise with `patpy.pl.embedding_covariate_heatmap`.\n", - "\n", - "This guides the choice of design formula and which contrasts are worth testing." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "80ab7413", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pdata_pca = pdata.copy()\n", - "sc.pp.normalize_total(pdata_pca, target_sum=1e4)\n", - "sc.pp.log1p(pdata_pca)\n", - "sc.pp.scale(pdata_pca, max_value=10)\n", - "sc.pp.pca(pdata_pca)\n", - "\n", - "# Copy PCA embedding back to pdata for downstream association test\n", - "pdata.obsm[\"X_pca\"] = pdata_pca.obsm[\"X_pca\"]\n", - "\n", - "sc.pl.pca(pdata_pca, color=[source_col, sex_col], ncols=2, size=300)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "38e367b2", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "id": "d184fcde", + "metadata": {}, + "source": [ + "## Install\n", + "\n", + "```bash\n", + "pip install patpy pertpy pydeseq2\n", + "# For EdgeR (requires R):\n", + "pip install rpy2\n", + "# In R: BiocManager::install(\"edgeR\")\n", + "```" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Test which PCs are driven by each clinical covariate\n", - "assoc = patpy.tl.associate_embedding_with_covariates(\n", - " pdata,\n", - " covariates=[source_col, sex_col],\n", - " obsm_key=\"X_pca\",\n", - " n_components=10,\n", - ")\n", - "\n", - "patpy.pl.embedding_covariate_heatmap(assoc)" - ] - }, - { - "cell_type": "markdown", - "id": "da0be761", - "metadata": {}, - "source": [ - "## Inspect the condition space\n", - "\n", - "`ptc.build_condition_combinations` lists every *observed* combination of\n", - "condition axes and `ptc.build_all_pairwise_contrasts` enumerates all pairs.\n", - "This is a quick sanity check before launching any model fits." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "cd3ebc41", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "4 observed condition combinations:\n" - ] }, { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
SourceSexlabel
0COVID_SEVmaleCOVID_SEV_male
1HVmaleHV_male
2COVID_SEVfemaleCOVID_SEV_female
3HVfemaleHV_female
\n", - "
" - ], - "text/plain": [ - " Source Sex label\n", - "0 COVID_SEV male COVID_SEV_male\n", - "1 HV male HV_male\n", - "2 COVID_SEV female COVID_SEV_female\n", - "3 HV female HV_female" + "cell_type": "markdown", + "id": "f18e82b3", + "metadata": {}, + "source": [ + "## Import packages" ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "condition_cols = [source_col, sex_col]\n", - "\n", - "combos = ptc.build_condition_combinations(pdata, condition_cols)\n", - "print(f\"{len(combos)} observed condition combinations:\")\n", - "combos" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "f57a1ca1", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "6 pairwise contrasts:\n", - " COVID_SEV_male_vs_HV_male\n", - " COVID_SEV_male_vs_COVID_SEV_female\n", - " COVID_SEV_male_vs_HV_female\n", - " HV_male_vs_COVID_SEV_female\n", - " HV_male_vs_HV_female\n", - " COVID_SEV_female_vs_HV_female\n" - ] - } - ], - "source": [ - "contrasts = ptc.build_all_pairwise_contrasts(pdata, condition_cols)\n", - "print(f\"{len(contrasts)} pairwise contrasts:\")\n", - "for c in contrasts:\n", - " print(f\" {c['label']}\")" - ] - }, - { - "cell_type": "markdown", - "id": "89bd377b", - "metadata": {}, - "source": [ - "## Differential expression — PyDESeq2\n", - "\n", - "In clinical data analysis, we often need to run DE for a combination of\n", - "covariates. `patpy` makes this easy with `ptc.ConditionComparison`. Let's use\n", - "it to explore how the COVID-19 transcriptional response interacts with the sex\n", - "of patients.\n", - "\n", - "`run_once` returns a `(results_df, models)` tuple. `results_df` is the tidy\n", - "DE table with a `\"contrast\"` column; `models` is a dict mapping each contrast\n", - "label to a model instance for pertpy's plotting API." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "b12c48b1", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting size factors...\n", - "... done in 0.03 seconds.\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.09 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.28 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.45 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 1.08 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.04 seconds.\n", - "\n", - "Replacing 162 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.06 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.07 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.06 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 42.43 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.257261 0.638596 2.704208 0.236149 0.813317 \n", - "NOC2L 1301.177247 0.094372 0.111198 0.848677 0.396061 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 15319.067933 0.120656 0.180509 0.668418 0.503866 \n", - "AB_CD224 205047.129847 0.497971 0.158971 3.132462 0.001733 \n", - "AB_c_Met 43838.260224 0.078896 0.163130 0.483640 0.628642 \n", - "AB_CD258_LIGHT 30073.626348 0.274918 0.196365 1.400034 0.161503 \n", - "AB_DR3_TRAMP 54924.487941 -0.001373 0.150129 -0.009143 0.992705 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.579510 \n", - "... ... \n", - "AB_Podocalyxin 0.674455 \n", - "AB_CD224 0.010756 \n", - "AB_c_Met 0.771381 \n", - "AB_CD258_LIGHT 0.322657 \n", - "AB_DR3_TRAMP 0.995708 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.05 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.26 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.42 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 1.01 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.02 seconds.\n", - "\n", - "Replacing 161 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.06 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.06 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.06 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 10.25 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.475906 -1.105400 1.447396 -0.763717 0.445036 \n", - "NOC2L 1105.555690 0.029394 0.085567 0.343515 0.731211 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 12564.791412 0.146508 0.145149 1.009366 0.312799 \n", - "AB_CD224 204842.505419 -0.100986 0.145320 -0.694922 0.487104 \n", - "AB_c_Met 36280.451090 0.092051 0.134713 0.683313 0.494409 \n", - "AB_CD258_LIGHT 25655.855243 0.153378 0.159897 0.959231 0.337442 \n", - "AB_DR3_TRAMP 44420.734956 0.089644 0.123124 0.728077 0.466566 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.933830 \n", - "... ... \n", - "AB_Podocalyxin 0.749368 \n", - "AB_CD224 0.846654 \n", - "AB_c_Met 0.849794 \n", - "AB_CD258_LIGHT 0.761958 \n", - "AB_DR3_TRAMP 0.837508 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] + "cell_type": "code", + "execution_count": null, + "id": "0cb4d378", + "metadata": {}, + "outputs": [], + "source": [ + "import pertpy as pt\n", + "import scanpy as sc\n", + "import pandas as pd\n", + "import numpy as np\n", + "import anndata as ad\n", + "import matplotlib.pyplot as plt\n", + "import warnings\n", + "\n", + "import patpy\n", + "import patpy.tl.condition_comparison as ptc\n", + "\n", + "warnings.filterwarnings(\"ignore\")\n", + "patpy.__version__" + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.01 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.23 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.29 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 1.02 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.01 seconds.\n", - "\n", - "Replacing 123 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.04 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.05 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.05 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 14.28 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] + "cell_type": "markdown", + "id": "8ef0a6f4", + "metadata": {}, + "source": [ + "## Load the COMBAT dataset\n", + "\n", + "The dataset contains 783k cells x 3,000 genes from ~140 PBMC donors spanning\n", + "healthy volunteers (HV) and COVID-19 patients at various severity levels." + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.304920 0.413179 2.795188 0.147818 0.882486 \n", - "NOC2L 1275.680812 0.094984 0.141383 0.671824 0.501696 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 15661.234430 -0.046817 0.227499 -0.205790 0.836955 \n", - "AB_CD224 220335.647664 0.167137 0.180218 0.927415 0.353711 \n", - "AB_c_Met 44364.190769 -0.055211 0.201932 -0.273415 0.784534 \n", - "AB_CD258_LIGHT 31169.337939 0.077529 0.240061 0.322956 0.746729 \n", - "AB_DR3_TRAMP 54636.606110 -0.082354 0.184598 -0.446130 0.655504 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.706560 \n", - "... ... \n", - "AB_Podocalyxin 0.919111 \n", - "AB_CD224 0.580670 \n", - "AB_c_Met 0.892113 \n", - "AB_CD258_LIGHT 0.869811 \n", - "AB_DR3_TRAMP 0.814060 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] + "cell_type": "code", + "execution_count": null, + "id": "b8e88734", + "metadata": {}, + "outputs": [], + "source": [ + "adata, combat_info = patpy.datasets.combat_preprocessed(return_dataset_info=True)\n", + "display(adata)\n", + "display(combat_info)" + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.04 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.25 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.34 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.91 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.02 seconds.\n", - "\n", - "Replacing 237 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.08 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.09 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.08 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 15.32 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] + "cell_type": "markdown", + "id": "6b2169dd", + "metadata": {}, + "source": [ + "## Set column names" + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.452233 -1.724386 1.736218 -0.993186 0.320619 \n", - "NOC2L 1172.035418 -0.046099 0.063806 -0.722486 0.469996 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 13113.387053 0.036543 0.095558 0.382417 0.702152 \n", - "AB_CD224 202108.034488 -0.584439 0.157110 -3.719934 0.000199 \n", - "AB_c_Met 38371.188091 0.025135 0.101797 0.246911 0.804977 \n", - "AB_CD258_LIGHT 25845.291369 -0.110884 0.109539 -1.012277 0.311406 \n", - "AB_DR3_TRAMP 47898.678941 0.103565 0.102374 1.011631 0.311715 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.588439 \n", - "... ... \n", - "AB_Podocalyxin 0.788898 \n", - "AB_CD224 0.000977 \n", - "AB_c_Met 0.867582 \n", - "AB_CD258_LIGHT 0.432657 \n", - "AB_DR3_TRAMP 0.432967 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] + "cell_type": "code", + "execution_count": 3, + "id": "2836fcdd", + "metadata": {}, + "outputs": [], + "source": [ + "sample_id_col = \"scRNASeq_sample_ID\" # per-donor identifier\n", + "cell_type_key = \"Annotation_major_subset\" # broad cell type labels\n", + "source_col = \"Source\" # COVID_SEV / HV\n", + "sex_col = \"Sex\" # 0 = male, 1 = female" + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 0.96 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.25 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.26 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.89 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.01 seconds.\n", - "\n", - "Replacing 0 outlier genes.\n", - "\n", - "Running Wald tests...\n", - "... done in 10.68 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] + "cell_type": "markdown", + "id": "f0fb99c1", + "metadata": {}, + "source": [ + "## Quality control\n", + "\n", + "Remove donors with fewer than 100 cells." + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.161094 -0.218150 3.429169 -0.063616 0.949276 \n", - "NOC2L 1457.437279 0.008025 0.072268 0.111045 0.911581 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 17811.995772 -0.162549 0.120624 -1.347573 0.177796 \n", - "AB_CD224 212810.362686 -0.324465 0.170924 -1.898299 0.057657 \n", - "AB_c_Met 51331.924318 -0.128705 0.114996 -1.119209 0.263051 \n", - "AB_CD258_LIGHT 33068.168373 -0.192380 0.107632 -1.787390 0.073875 \n", - "AB_DR3_TRAMP 65395.739182 -0.075470 0.112482 -0.670949 0.502253 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.985759 \n", - "... ... \n", - "AB_Podocalyxin 0.753284 \n", - "AB_CD224 0.559493 \n", - "AB_c_Met 0.797923 \n", - "AB_CD258_LIGHT 0.609126 \n", - "AB_DR3_TRAMP 0.898360 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] + "cell_type": "code", + "execution_count": 4, + "id": "a8eb308e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2 samples removed: G05092-Ja005E-PBCa, S00030-Ja003E-PBCa\n", + "138 donors after QC filtering\n" + ] + } + ], + "source": [ + "adata = patpy.pp.filter_small_samples(\n", + " adata, sample_key=sample_id_col, sample_size_threshold=100\n", + ")\n", + "print(f\"{adata.obs[sample_id_col].nunique()} donors after QC filtering\")\n", + "adata.layers[\"X_raw_counts\"] = adata.layers[\"X_raw_counts\"].todense()" + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.02 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.24 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.33 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.93 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.01 seconds.\n", - "\n", - "Replacing 124 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.04 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.04 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.04 seconds.\n", - "\n", - "Running Wald tests...\n" - ] + "cell_type": "markdown", + "id": "8d72448e", + "metadata": {}, + "source": [ + "## Subset to a manageable cohort\n", + "\n", + "We keep only **COVID-19 patients and healthy volunteers** and sample up to\n", + "**20 donors per source** so the analysis finishes quickly.\n", + "Remove this cell to run on the full dataset." + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.501578 1.498871 1.903771 0.787317 0.431096 \n", - "NOC2L 1140.414076 0.052733 0.084487 0.624154 0.532527 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 13100.698970 -0.201278 0.120307 -1.673042 0.094319 \n", - "AB_CD224 211821.629447 0.255880 0.180603 1.416811 0.156538 \n", - "AB_c_Met 38107.199532 -0.156263 0.121557 -1.285508 0.198615 \n", - "AB_CD258_LIGHT 26119.231594 -0.084049 0.129068 -0.651197 0.514919 \n", - "AB_DR3_TRAMP 46912.388948 -0.181463 0.121083 -1.498663 0.133961 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.682670 \n", - "... ... \n", - "AB_Podocalyxin 0.207273 \n", - "AB_CD224 0.297588 \n", - "AB_c_Met 0.351425 \n", - "AB_CD258_LIGHT 0.668215 \n", - "AB_DR3_TRAMP 0.267058 \n", - "\n", - "[20807 rows x 6 columns]\n", - "124,842 DE results across 6 contrasts\n", - "Available contrasts: ['COVID_SEV_male_vs_HV_male', 'COVID_SEV_male_vs_COVID_SEV_female', 'COVID_SEV_male_vs_HV_female', 'HV_male_vs_COVID_SEV_female', 'HV_male_vs_HV_female', 'COVID_SEV_female_vs_HV_female']\n" - ] + "cell_type": "code", + "execution_count": 5, + "id": "e7650380", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "214,842 cells | 30 donors\n" + ] + }, + { + "data": { + "text/plain": [ + "Source\n", + "COVID_SEV 20\n", + "HV 10\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Restrict to Covid and HV sources only\n", + "adata = adata[adata.obs[source_col].isin([\"COVID_SEV\", \"HV\"])].copy()\n", + "\n", + "# Recode Sex to readable labels\n", + "adata.obs[sex_col] = adata.obs[sex_col].map({0: \"male\", 1: \"female\"})\n", + "\n", + "# Sample up to 20 donors per source so both groups are always present\n", + "rng = np.random.default_rng(42)\n", + "keep = []\n", + "for source, grp in adata.obs.groupby(source_col):\n", + " donors = grp[sample_id_col].unique()\n", + " sampled = rng.choice(donors, size=min(20, len(donors)), replace=False)\n", + " keep.extend(sampled)\n", + "\n", + "adata = adata[adata.obs[sample_id_col].isin(keep)].copy()\n", + "\n", + "print(f\"{adata.n_obs:,} cells | {adata.obs[sample_id_col].nunique()} donors\")\n", + "adata.obs[[sample_id_col, source_col]].drop_duplicates()[source_col].value_counts()" + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "... done in 10.33 seconds.\n", - "\n" - ] + "cell_type": "markdown", + "id": "df248e65", + "metadata": {}, + "source": [ + "## Create pseudobulk profiles\n", + "\n", + "DE models require integer counts aggregated at the donor level.\n", + "We use `patpy.tl.Pseudobulk` for aggregation and `patpy.pp.extract_metadata`\n", + "to build the donor-level obs DataFrame." + ] }, { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
variablebaseMeanlog_fclfcSEstatp_valueadj_p_valuecontrast
0ZNF230138.987101-1.5755280.147200-10.7033269.818907e-271.443870e-22COVID_SEV_male_vs_HV_male
1TNFSF14328.762813-1.9479680.184911-10.5346415.981085e-264.397593e-22COVID_SEV_male_vs_HV_male
2CDCA5236.6437423.0061260.3095819.7103002.725329e-221.335865e-18COVID_SEV_male_vs_HV_male
3METTL18399.540801-1.1386630.118743-9.5892968.868817e-223.260399e-18COVID_SEV_male_vs_HV_male
4ID3546.295056-2.5688330.269282-9.5395551.434469e-214.218774e-18COVID_SEV_male_vs_HV_male
\n", - "
" + "cell_type": "code", + "execution_count": 6, + "id": "eaf28824", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "sample_representation shape: (30, 20807)\n", + "donors: 30\n" + ] + } ], - "text/plain": [ - " variable baseMean log_fc lfcSE stat p_value \\\n", - "0 ZNF230 138.987101 -1.575528 0.147200 -10.703326 9.818907e-27 \n", - "1 TNFSF14 328.762813 -1.947968 0.184911 -10.534641 5.981085e-26 \n", - "2 CDCA5 236.643742 3.006126 0.309581 9.710300 2.725329e-22 \n", - "3 METTL18 399.540801 -1.138663 0.118743 -9.589296 8.868817e-22 \n", - "4 ID3 546.295056 -2.568833 0.269282 -9.539555 1.434469e-21 \n", - "\n", - " adj_p_value contrast \n", - "0 1.443870e-22 COVID_SEV_male_vs_HV_male \n", - "1 4.397593e-22 COVID_SEV_male_vs_HV_male \n", - "2 1.335865e-18 COVID_SEV_male_vs_HV_male \n", - "3 3.260399e-18 COVID_SEV_male_vs_HV_male \n", - "4 4.218774e-18 COVID_SEV_male_vs_HV_male " + "source": [ + "pb = patpy.tl.Pseudobulk(\n", + " sample_key=sample_id_col,\n", + " cell_group_key=cell_type_key,\n", + " layer=\"X_raw_counts\",\n", + ")\n", + "pb.prepare_anndata(adata)\n", + "pb.calculate_distance_matrix(aggregate=\"sum\")\n", + "print(f\"sample_representation shape: {pb.sample_representation.shape}\")\n", + "print(f\"donors: {len(pb.samples)}\")" ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "res_deseq2, models_deseq2 = ptc.ConditionComparison.run_once(\n", - " pt.tl.PyDESeq2,\n", - " pdata,\n", - " condition_cols=condition_cols,\n", - ")\n", - "\n", - "print(f\"{len(res_deseq2):,} DE results across {res_deseq2['contrast'].nunique()} contrasts\")\n", - "print(\"Available contrasts:\", list(models_deseq2))\n", - "res_deseq2.head()" - ] - }, - { - "cell_type": "markdown", - "id": "0309cff4", - "metadata": {}, - "source": [ - "## Differential expression - EdgeR\n", - "\n", - "Switch to EdgeR by changing a single argument. Everything else is identical.\n", - "EdgeR requires R with the `edgeR` Bioconductor package installed." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "eec663ae", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[94m•\u001b[0m Calculating NormFactors\n", - "\u001b[94m•\u001b[0m Estimating Dispersions\n", - "\u001b[94m•\u001b[0m Fitting linear model\n", - "\u001b[94m•\u001b[0m Calculating NormFactors\n", - "\u001b[94m•\u001b[0m Estimating Dispersions\n", - "\u001b[94m•\u001b[0m Fitting linear model\n", - "\u001b[94m•\u001b[0m Calculating NormFactors\n", - "\u001b[94m•\u001b[0m Estimating Dispersions\n", - "\u001b[94m•\u001b[0m Fitting linear model\n", - "\u001b[94m•\u001b[0m Calculating NormFactors\n", - "\u001b[94m•\u001b[0m Estimating Dispersions\n", - "\u001b[94m•\u001b[0m Fitting linear model\n", - "\u001b[94m•\u001b[0m Calculating NormFactors\n", - "\u001b[94m•\u001b[0m Estimating Dispersions\n", - "\u001b[94m•\u001b[0m Fitting linear model\n", - "\u001b[94m•\u001b[0m Calculating NormFactors\n", - "\u001b[94m•\u001b[0m Estimating Dispersions\n", - "\u001b[94m•\u001b[0m Fitting linear model\n", - "124,842 DE results across 6 contrasts\n" - ] }, { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
variablelog_fclogCPMFp_valueadj_p_valuecontrast
0ZNF230-1.5979521.332414118.1890639.179426e-090.00010COVID_SEV_male_vs_HV_male
1TNFSF14-1.9665332.558231117.4502339.567627e-090.00010COVID_SEV_male_vs_HV_male
2KIRREL3-3.524165-2.68324368.8936601.792087e-080.00011COVID_SEV_male_vs_HV_male
3S1PR1-1.5217565.490698102.6879912.445235e-080.00011COVID_SEV_male_vs_HV_male
4ID3-2.5898893.292700101.4913642.654054e-080.00011COVID_SEV_male_vs_HV_male
\n", - "
" + "cell_type": "code", + "execution_count": 7, + "id": "b1155a70", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SourceSex
scRNASeq_sample_ID
S00056-Ja003E-PBCaCOVID_SEVmale
H00067-Ha001E-PBGaHVmale
S00028-Ja001E-PBCaCOVID_SEVmale
S00033-Ja001E-PBCaCOVID_SEVfemale
H00054-Ha001E-PBGaHVfemale
S00078-Ja003E-PBCaCOVID_SEVmale
S00042-Ja003E-PBCaCOVID_SEVmale
H00085-Ha001E-PBGaHVmale
S00056-Ja005E-PBCaCOVID_SEVmale
H00049-Ha001E-PBGaHVmale
S00041-Ja001E-PBCaCOVID_SEVfemale
S00005-Ja003E-PBCaCOVID_SEVmale
S00048-Ja005E-PBCaCOVID_SEVfemale
H00058-Ha001E-PBGaHVmale
S00037-Ja003E-PBCaCOVID_SEVfemale
S00064-Ja005E-PBCaCOVID_SEVfemale
S00033-Ja005E-PBCaCOVID_SEVfemale
S00045-Ja005E-PBCaCOVID_SEVfemale
H00072-Ha001E-PBGaHVmale
H00052-Ha001E-PBGaHVfemale
S00106-Ja003E-PBCaCOVID_SEVmale
S00077-Ja005E-PBCaCOVID_SEVmale
H00070-Ha001E-PBGaHVfemale
S00052-Ja003E-PBCaCOVID_SEVfemale
S00069-Ja005E-PBCaCOVID_SEVfemale
H00053-Ha001E-PBGaHVmale
S00053-Ja003E-PBCaCOVID_SEVfemale
S00033-Ja003E-PBCaCOVID_SEVfemale
H00064-Ha001E-PBGaHVfemale
S00048-Ja003E-PBCaCOVID_SEVfemale
\n", + "
" + ], + "text/plain": [ + " Source Sex\n", + "scRNASeq_sample_ID \n", + "S00056-Ja003E-PBCa COVID_SEV male\n", + "H00067-Ha001E-PBGa HV male\n", + "S00028-Ja001E-PBCa COVID_SEV male\n", + "S00033-Ja001E-PBCa COVID_SEV female\n", + "H00054-Ha001E-PBGa HV female\n", + "S00078-Ja003E-PBCa COVID_SEV male\n", + "S00042-Ja003E-PBCa COVID_SEV male\n", + "H00085-Ha001E-PBGa HV male\n", + "S00056-Ja005E-PBCa COVID_SEV male\n", + "H00049-Ha001E-PBGa HV male\n", + "S00041-Ja001E-PBCa COVID_SEV female\n", + "S00005-Ja003E-PBCa COVID_SEV male\n", + "S00048-Ja005E-PBCa COVID_SEV female\n", + "H00058-Ha001E-PBGa HV male\n", + "S00037-Ja003E-PBCa COVID_SEV female\n", + "S00064-Ja005E-PBCa COVID_SEV female\n", + "S00033-Ja005E-PBCa COVID_SEV female\n", + "S00045-Ja005E-PBCa COVID_SEV female\n", + "H00072-Ha001E-PBGa HV male\n", + "H00052-Ha001E-PBGa HV female\n", + "S00106-Ja003E-PBCa COVID_SEV male\n", + "S00077-Ja005E-PBCa COVID_SEV male\n", + "H00070-Ha001E-PBGa HV female\n", + "S00052-Ja003E-PBCa COVID_SEV female\n", + "S00069-Ja005E-PBCa COVID_SEV female\n", + "H00053-Ha001E-PBGa HV male\n", + "S00053-Ja003E-PBCa COVID_SEV female\n", + "S00033-Ja003E-PBCa COVID_SEV female\n", + "H00064-Ha001E-PBGa HV female\n", + "S00048-Ja003E-PBCa COVID_SEV female" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } ], - "text/plain": [ - " variable log_fc logCPM F p_value adj_p_value \\\n", - "0 ZNF230 -1.597952 1.332414 118.189063 9.179426e-09 0.00010 \n", - "1 TNFSF14 -1.966533 2.558231 117.450233 9.567627e-09 0.00010 \n", - "2 KIRREL3 -3.524165 -2.683243 68.893660 1.792087e-08 0.00011 \n", - "3 S1PR1 -1.521756 5.490698 102.687991 2.445235e-08 0.00011 \n", - "4 ID3 -2.589889 3.292700 101.491364 2.654054e-08 0.00011 \n", - "\n", - " contrast \n", - "0 COVID_SEV_male_vs_HV_male \n", - "1 COVID_SEV_male_vs_HV_male \n", - "2 COVID_SEV_male_vs_HV_male \n", - "3 COVID_SEV_male_vs_HV_male \n", - "4 COVID_SEV_male_vs_HV_male " + "source": [ + "# Build donor-level obs using patpy.pp.extract_metadata\n", + "donor_obs = patpy.pp.extract_metadata(\n", + " adata, sample_key=sample_id_col, columns=[source_col, sex_col]\n", + ")\n", + "donor_obs" ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "res_edger, models_edger = ptc.ConditionComparison.run_once(\n", - " pt.tl.EdgeR,\n", - " pdata,\n", - " condition_cols=condition_cols,\n", - ")\n", - "\n", - "print(f\"{len(res_edger):,} DE results across {res_edger['contrast'].nunique()} contrasts\")\n", - "res_edger.head()" - ] - }, - { - "cell_type": "markdown", - "id": "1b9932ad", - "metadata": {}, - "source": [ - "## Reuse settings with `ConditionComparison`\n", - "\n", - "`ConditionComparison` stores the model class and default kwargs so you can\n", - "run the same setup across multiple condition axes without repeating yourself.\n", - "After each `run()` call, model instances are stored in `cc.models_` and\n", - "accessible via the named plot wrappers (`plot_volcano`, `plot_fold_change`,\n", - "`plot_multicomparison_fc`) or `cc.get_model(contrast_label)` for full control." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "792ca7f0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "ConditionComparison(PyDESeq2, )" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cc = ptc.ConditionComparison(pt.tl.PyDESeq2)\n", - "cc" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "f6a2a605", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.01 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.24 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.31 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 1.17 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.01 seconds.\n", - "\n", - "Replacing 162 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.05 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.05 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.05 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 15.05 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.257261 0.638596 2.704208 0.236149 0.813317 \n", - "NOC2L 1301.177247 0.094372 0.111198 0.848677 0.396061 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 15319.067933 0.120656 0.180509 0.668418 0.503866 \n", - "AB_CD224 205047.129847 0.497971 0.158971 3.132462 0.001733 \n", - "AB_c_Met 43838.260224 0.078896 0.163130 0.483640 0.628642 \n", - "AB_CD258_LIGHT 30073.626348 0.274918 0.196365 1.400034 0.161503 \n", - "AB_DR3_TRAMP 54924.487941 -0.001373 0.150129 -0.009143 0.992705 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.579510 \n", - "... ... \n", - "AB_Podocalyxin 0.674455 \n", - "AB_CD224 0.010756 \n", - "AB_c_Met 0.771381 \n", - "AB_CD258_LIGHT 0.322657 \n", - "AB_DR3_TRAMP 0.995708 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.10 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.24 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.39 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.95 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.01 seconds.\n", - "\n", - "Replacing 161 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.06 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.06 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.06 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 9.15 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.475906 -1.105400 1.447396 -0.763717 0.445036 \n", - "NOC2L 1105.555690 0.029394 0.085567 0.343515 0.731211 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 12564.791412 0.146508 0.145149 1.009366 0.312799 \n", - "AB_CD224 204842.505419 -0.100986 0.145320 -0.694922 0.487104 \n", - "AB_c_Met 36280.451090 0.092051 0.134713 0.683313 0.494409 \n", - "AB_CD258_LIGHT 25655.855243 0.153378 0.159897 0.959231 0.337442 \n", - "AB_DR3_TRAMP 44420.734956 0.089644 0.123124 0.728077 0.466566 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.933830 \n", - "... ... \n", - "AB_Podocalyxin 0.749368 \n", - "AB_CD224 0.846654 \n", - "AB_c_Met 0.849794 \n", - "AB_CD258_LIGHT 0.761958 \n", - "AB_DR3_TRAMP 0.837508 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.01 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.24 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.29 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 1.06 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.01 seconds.\n", - "\n", - "Replacing 123 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.04 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.05 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.04 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 18.76 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.304920 0.413179 2.795188 0.147818 0.882486 \n", - "NOC2L 1275.680812 0.094984 0.141383 0.671824 0.501696 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 15661.234430 -0.046817 0.227499 -0.205790 0.836955 \n", - "AB_CD224 220335.647664 0.167137 0.180218 0.927415 0.353711 \n", - "AB_c_Met 44364.190769 -0.055211 0.201932 -0.273415 0.784534 \n", - "AB_CD258_LIGHT 31169.337939 0.077529 0.240061 0.322956 0.746729 \n", - "AB_DR3_TRAMP 54636.606110 -0.082354 0.184598 -0.446130 0.655504 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.706560 \n", - "... ... \n", - "AB_Podocalyxin 0.919111 \n", - "AB_CD224 0.580670 \n", - "AB_c_Met 0.892113 \n", - "AB_CD258_LIGHT 0.869811 \n", - "AB_DR3_TRAMP 0.814060 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] + "cell_type": "code", + "execution_count": 8, + "id": "8c346d85", + "metadata": {}, + "outputs": [], + "source": [ + "pdata = pb.to_adata(metadata=donor_obs)\n", + "pdata.var = adata.var" + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.05 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.25 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.36 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 1.03 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.02 seconds.\n", - "\n", - "Replacing 237 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.08 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.09 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.10 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 9.84 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.00 seconds.\n", - "\n" - ] + "cell_type": "markdown", + "id": "e6e99f30", + "metadata": {}, + "source": [ + "## Explore axes of variation\n", + "\n", + "Before fitting any DE model it is useful to understand which covariates\n", + "drive variance in the pseudobulk profiles. We run PCA and use\n", + "`patpy.tl.associate_embedding_with_covariates` to test each PC against each\n", + "clinical variable, then visualise with `patpy.pl.embedding_covariate_heatmap`.\n", + "\n", + "This guides the choice of design formula and which contrasts are worth testing." + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.452233 -1.724386 1.736218 -0.993186 0.320619 \n", - "NOC2L 1172.035418 -0.046099 0.063806 -0.722486 0.469996 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 13113.387053 0.036543 0.095558 0.382417 0.702152 \n", - "AB_CD224 202108.034488 -0.584439 0.157110 -3.719934 0.000199 \n", - "AB_c_Met 38371.188091 0.025135 0.101797 0.246911 0.804977 \n", - "AB_CD258_LIGHT 25845.291369 -0.110884 0.109539 -1.012277 0.311406 \n", - "AB_DR3_TRAMP 47898.678941 0.103565 0.102374 1.011631 0.311715 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.588439 \n", - "... ... \n", - "AB_Podocalyxin 0.788898 \n", - "AB_CD224 0.000977 \n", - "AB_c_Met 0.867582 \n", - "AB_CD258_LIGHT 0.432657 \n", - "AB_DR3_TRAMP 0.432967 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] + "cell_type": "code", + "execution_count": 9, + "id": "80ab7413", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pdata_pca = pdata.copy()\n", + "sc.pp.normalize_total(pdata_pca, target_sum=1e4)\n", + "sc.pp.log1p(pdata_pca)\n", + "sc.pp.scale(pdata_pca, max_value=10)\n", + "sc.pp.pca(pdata_pca)\n", + "\n", + "# Copy PCA embedding back to pdata for downstream association test\n", + "pdata.obsm[\"X_pca\"] = pdata_pca.obsm[\"X_pca\"]\n", + "\n", + "sc.pl.pca(pdata_pca, color=[source_col, sex_col], ncols=2, size=300)" + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.07 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.25 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.47 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 1.00 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.01 seconds.\n", - "\n", - "Replacing 0 outlier genes.\n", - "\n", - "Running Wald tests...\n", - "... done in 19.05 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] + "cell_type": "code", + "execution_count": 10, + "id": "38e367b2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Test which PCs are driven by each clinical covariate\n", + "assoc = patpy.tl.associate_embedding_with_covariates(\n", + " pdata,\n", + " covariates=[source_col, sex_col],\n", + " obsm_key=\"X_pca\",\n", + " n_components=10,\n", + ")\n", + "\n", + "patpy.pl.embedding_covariate_heatmap(assoc)" + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.161094 -0.218150 3.429169 -0.063616 0.949276 \n", - "NOC2L 1457.437279 0.008025 0.072268 0.111045 0.911581 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 17811.995772 -0.162549 0.120624 -1.347573 0.177796 \n", - "AB_CD224 212810.362686 -0.324465 0.170924 -1.898299 0.057657 \n", - "AB_c_Met 51331.924318 -0.128705 0.114996 -1.119209 0.263051 \n", - "AB_CD258_LIGHT 33068.168373 -0.192380 0.107632 -1.787390 0.073875 \n", - "AB_DR3_TRAMP 65395.739182 -0.075470 0.112482 -0.670949 0.502253 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.985759 \n", - "... ... \n", - "AB_Podocalyxin 0.753284 \n", - "AB_CD224 0.559493 \n", - "AB_c_Met 0.797923 \n", - "AB_CD258_LIGHT 0.609126 \n", - "AB_DR3_TRAMP 0.898360 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] + "cell_type": "markdown", + "id": "da0be761", + "metadata": {}, + "source": [ + "## Inspect the condition space\n", + "\n", + "`ptc.build_condition_combinations` lists every *observed* combination of\n", + "condition axes and `ptc.build_all_pairwise_contrasts` enumerates all pairs.\n", + "This is a quick sanity check before launching any model fits." + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.18 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.29 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.39 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 1.42 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.02 seconds.\n", - "\n", - "Replacing 124 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.04 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.05 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.05 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 10.18 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] + "cell_type": "code", + "execution_count": 11, + "id": "cd3ebc41", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4 observed condition combinations:\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SourceSexlabel
0COVID_SEVmaleCOVID_SEV_male
1HVmaleHV_male
2COVID_SEVfemaleCOVID_SEV_female
3HVfemaleHV_female
\n", + "
" + ], + "text/plain": [ + " Source Sex label\n", + "0 COVID_SEV male COVID_SEV_male\n", + "1 HV male HV_male\n", + "2 COVID_SEV female COVID_SEV_female\n", + "3 HV female HV_female" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "condition_cols = [source_col, sex_col]\n", + "\n", + "combos = ptc.build_condition_combinations(pdata, condition_cols)\n", + "print(f\"{len(combos)} observed condition combinations:\")\n", + "combos" + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.501578 1.498871 1.903771 0.787317 0.431096 \n", - "NOC2L 1140.414076 0.052733 0.084487 0.624154 0.532527 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 13100.698970 -0.201278 0.120307 -1.673042 0.094319 \n", - "AB_CD224 211821.629447 0.255880 0.180603 1.416811 0.156538 \n", - "AB_c_Met 38107.199532 -0.156263 0.121557 -1.285508 0.198615 \n", - "AB_CD258_LIGHT 26119.231594 -0.084049 0.129068 -0.651197 0.514919 \n", - "AB_DR3_TRAMP 46912.388948 -0.181463 0.121083 -1.498663 0.133961 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.682670 \n", - "... ... \n", - "AB_Podocalyxin 0.207273 \n", - "AB_CD224 0.297588 \n", - "AB_c_Met 0.351425 \n", - "AB_CD258_LIGHT 0.668215 \n", - "AB_DR3_TRAMP 0.267058 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] + "cell_type": "code", + "execution_count": 12, + "id": "f57a1ca1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "6 pairwise contrasts:\n", + " COVID_SEV_male_vs_HV_male\n", + " COVID_SEV_male_vs_COVID_SEV_female\n", + " COVID_SEV_male_vs_HV_female\n", + " HV_male_vs_COVID_SEV_female\n", + " HV_male_vs_HV_female\n", + " COVID_SEV_female_vs_HV_female\n" + ] + } + ], + "source": [ + "contrasts = ptc.build_all_pairwise_contrasts(pdata, condition_cols)\n", + "print(f\"{len(contrasts)} pairwise contrasts:\")\n", + "for c in contrasts:\n", + " print(f\" {c['label']}\")" + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.57 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.28 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.51 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 2.02 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.02 seconds.\n", - "\n", - "Replacing 252 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.10 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.09 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.10 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 30.24 seconds.\n", - "\n" - ] + "cell_type": "markdown", + "id": "89bd377b", + "metadata": {}, + "source": [ + "## Differential expression — PyDESeq2\n", + "\n", + "In clinical data analysis, we often need to run DE for a combination of\n", + "covariates. `patpy` makes this easy with `ptc.ConditionComparison`. Let's use\n", + "it to explore how the COVID-19 transcriptional response interacts with the sex\n", + "of patients.\n", + "\n", + "`run_once` returns a `(results_df, models)` tuple. `results_df` is the tidy\n", + "DE table with a `\"contrast\"` column; `models` is a dict mapping each contrast\n", + "label to a model instance for pertpy's plotting API." + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.396043 1.248338 1.305570 0.956163 0.338990 \n", - "NOC2L 1212.810770 0.067816 0.061259 1.107030 0.268281 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 14104.676718 -0.039824 0.107165 -0.371613 0.710181 \n", - "AB_CD224 209277.179155 0.409534 0.120222 3.406467 0.000658 \n", - "AB_c_Met 40707.871349 -0.036795 0.098071 -0.375191 0.707518 \n", - "AB_CD258_LIGHT 27915.251432 0.097523 0.116619 0.836254 0.403012 \n", - "AB_DR3_TRAMP 50528.479383 -0.093938 0.091834 -1.022908 0.306351 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.389903 \n", - "... ... \n", - "AB_Podocalyxin 0.793303 \n", - "AB_CD224 0.002596 \n", - "AB_c_Met 0.791520 \n", - "AB_CD258_LIGHT 0.528338 \n", - "AB_DR3_TRAMP 0.431063 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Source x Sex contrasts: ['COVID_SEV_male_vs_HV_male', 'COVID_SEV_male_vs_COVID_SEV_female', 'COVID_SEV_male_vs_HV_female', 'HV_male_vs_COVID_SEV_female', 'HV_male_vs_HV_female', 'COVID_SEV_female_vs_HV_female']\n", - "Source-only contrasts: ['COVID_SEV_vs_HV']\n", - "All stored models: ['COVID_SEV_male_vs_HV_male', 'COVID_SEV_male_vs_COVID_SEV_female', 'COVID_SEV_male_vs_HV_female', 'HV_male_vs_COVID_SEV_female', 'HV_male_vs_HV_female', 'COVID_SEV_female_vs_HV_female', 'COVID_SEV_vs_HV']\n" - ] + "cell_type": "code", + "execution_count": 13, + "id": "b12c48b1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting size factors...\n", + "... done in 0.03 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.09 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.28 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.45 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 1.08 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.04 seconds.\n", + "\n", + "Replacing 162 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.06 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.07 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.06 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 42.43 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.257261 0.638596 2.704208 0.236149 0.813317 \n", + "NOC2L 1301.177247 0.094372 0.111198 0.848677 0.396061 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 15319.067933 0.120656 0.180509 0.668418 0.503866 \n", + "AB_CD224 205047.129847 0.497971 0.158971 3.132462 0.001733 \n", + "AB_c_Met 43838.260224 0.078896 0.163130 0.483640 0.628642 \n", + "AB_CD258_LIGHT 30073.626348 0.274918 0.196365 1.400034 0.161503 \n", + "AB_DR3_TRAMP 54924.487941 -0.001373 0.150129 -0.009143 0.992705 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.579510 \n", + "... ... \n", + "AB_Podocalyxin 0.674455 \n", + "AB_CD224 0.010756 \n", + "AB_c_Met 0.771381 \n", + "AB_CD258_LIGHT 0.322657 \n", + "AB_DR3_TRAMP 0.995708 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.05 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.26 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.42 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 1.01 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.02 seconds.\n", + "\n", + "Replacing 161 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.06 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.06 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.06 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 10.25 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.475906 -1.105400 1.447396 -0.763717 0.445036 \n", + "NOC2L 1105.555690 0.029394 0.085567 0.343515 0.731211 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 12564.791412 0.146508 0.145149 1.009366 0.312799 \n", + "AB_CD224 204842.505419 -0.100986 0.145320 -0.694922 0.487104 \n", + "AB_c_Met 36280.451090 0.092051 0.134713 0.683313 0.494409 \n", + "AB_CD258_LIGHT 25655.855243 0.153378 0.159897 0.959231 0.337442 \n", + "AB_DR3_TRAMP 44420.734956 0.089644 0.123124 0.728077 0.466566 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.933830 \n", + "... ... \n", + "AB_Podocalyxin 0.749368 \n", + "AB_CD224 0.846654 \n", + "AB_c_Met 0.849794 \n", + "AB_CD258_LIGHT 0.761958 \n", + "AB_DR3_TRAMP 0.837508 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.01 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.23 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.29 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 1.02 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.01 seconds.\n", + "\n", + "Replacing 123 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.04 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.05 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.05 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 14.28 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.304920 0.413179 2.795188 0.147818 0.882486 \n", + "NOC2L 1275.680812 0.094984 0.141383 0.671824 0.501696 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 15661.234430 -0.046817 0.227499 -0.205790 0.836955 \n", + "AB_CD224 220335.647664 0.167137 0.180218 0.927415 0.353711 \n", + "AB_c_Met 44364.190769 -0.055211 0.201932 -0.273415 0.784534 \n", + "AB_CD258_LIGHT 31169.337939 0.077529 0.240061 0.322956 0.746729 \n", + "AB_DR3_TRAMP 54636.606110 -0.082354 0.184598 -0.446130 0.655504 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.706560 \n", + "... ... \n", + "AB_Podocalyxin 0.919111 \n", + "AB_CD224 0.580670 \n", + "AB_c_Met 0.892113 \n", + "AB_CD258_LIGHT 0.869811 \n", + "AB_DR3_TRAMP 0.814060 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.04 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.25 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.34 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.91 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.02 seconds.\n", + "\n", + "Replacing 237 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.08 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.09 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.08 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 15.32 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.452233 -1.724386 1.736218 -0.993186 0.320619 \n", + "NOC2L 1172.035418 -0.046099 0.063806 -0.722486 0.469996 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 13113.387053 0.036543 0.095558 0.382417 0.702152 \n", + "AB_CD224 202108.034488 -0.584439 0.157110 -3.719934 0.000199 \n", + "AB_c_Met 38371.188091 0.025135 0.101797 0.246911 0.804977 \n", + "AB_CD258_LIGHT 25845.291369 -0.110884 0.109539 -1.012277 0.311406 \n", + "AB_DR3_TRAMP 47898.678941 0.103565 0.102374 1.011631 0.311715 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.588439 \n", + "... ... \n", + "AB_Podocalyxin 0.788898 \n", + "AB_CD224 0.000977 \n", + "AB_c_Met 0.867582 \n", + "AB_CD258_LIGHT 0.432657 \n", + "AB_DR3_TRAMP 0.432967 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 0.96 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.25 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.26 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.89 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.01 seconds.\n", + "\n", + "Replacing 0 outlier genes.\n", + "\n", + "Running Wald tests...\n", + "... done in 10.68 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.161094 -0.218150 3.429169 -0.063616 0.949276 \n", + "NOC2L 1457.437279 0.008025 0.072268 0.111045 0.911581 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 17811.995772 -0.162549 0.120624 -1.347573 0.177796 \n", + "AB_CD224 212810.362686 -0.324465 0.170924 -1.898299 0.057657 \n", + "AB_c_Met 51331.924318 -0.128705 0.114996 -1.119209 0.263051 \n", + "AB_CD258_LIGHT 33068.168373 -0.192380 0.107632 -1.787390 0.073875 \n", + "AB_DR3_TRAMP 65395.739182 -0.075470 0.112482 -0.670949 0.502253 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.985759 \n", + "... ... \n", + "AB_Podocalyxin 0.753284 \n", + "AB_CD224 0.559493 \n", + "AB_c_Met 0.797923 \n", + "AB_CD258_LIGHT 0.609126 \n", + "AB_DR3_TRAMP 0.898360 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.02 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.24 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.33 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.93 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.01 seconds.\n", + "\n", + "Replacing 124 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.04 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.04 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.04 seconds.\n", + "\n", + "Running Wald tests...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.501578 1.498871 1.903771 0.787317 0.431096 \n", + "NOC2L 1140.414076 0.052733 0.084487 0.624154 0.532527 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 13100.698970 -0.201278 0.120307 -1.673042 0.094319 \n", + "AB_CD224 211821.629447 0.255880 0.180603 1.416811 0.156538 \n", + "AB_c_Met 38107.199532 -0.156263 0.121557 -1.285508 0.198615 \n", + "AB_CD258_LIGHT 26119.231594 -0.084049 0.129068 -0.651197 0.514919 \n", + "AB_DR3_TRAMP 46912.388948 -0.181463 0.121083 -1.498663 0.133961 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.682670 \n", + "... ... \n", + "AB_Podocalyxin 0.207273 \n", + "AB_CD224 0.297588 \n", + "AB_c_Met 0.351425 \n", + "AB_CD258_LIGHT 0.668215 \n", + "AB_DR3_TRAMP 0.267058 \n", + "\n", + "[20807 rows x 6 columns]\n", + "124,842 DE results across 6 contrasts\n", + "Available contrasts: ['COVID_SEV_male_vs_HV_male', 'COVID_SEV_male_vs_COVID_SEV_female', 'COVID_SEV_male_vs_HV_female', 'HV_male_vs_COVID_SEV_female', 'HV_male_vs_HV_female', 'COVID_SEV_female_vs_HV_female']\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "... done in 10.33 seconds.\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
variablebaseMeanlog_fclfcSEstatp_valueadj_p_valuecontrast
0ZNF230138.987101-1.5755280.147200-10.7033269.818907e-271.443870e-22COVID_SEV_male_vs_HV_male
1TNFSF14328.762813-1.9479680.184911-10.5346415.981085e-264.397593e-22COVID_SEV_male_vs_HV_male
2CDCA5236.6437423.0061260.3095819.7103002.725329e-221.335865e-18COVID_SEV_male_vs_HV_male
3METTL18399.540801-1.1386630.118743-9.5892968.868817e-223.260399e-18COVID_SEV_male_vs_HV_male
4ID3546.295056-2.5688330.269282-9.5395551.434469e-214.218774e-18COVID_SEV_male_vs_HV_male
\n", + "
" + ], + "text/plain": [ + " variable baseMean log_fc lfcSE stat p_value \\\n", + "0 ZNF230 138.987101 -1.575528 0.147200 -10.703326 9.818907e-27 \n", + "1 TNFSF14 328.762813 -1.947968 0.184911 -10.534641 5.981085e-26 \n", + "2 CDCA5 236.643742 3.006126 0.309581 9.710300 2.725329e-22 \n", + "3 METTL18 399.540801 -1.138663 0.118743 -9.589296 8.868817e-22 \n", + "4 ID3 546.295056 -2.568833 0.269282 -9.539555 1.434469e-21 \n", + "\n", + " adj_p_value contrast \n", + "0 1.443870e-22 COVID_SEV_male_vs_HV_male \n", + "1 4.397593e-22 COVID_SEV_male_vs_HV_male \n", + "2 1.335865e-18 COVID_SEV_male_vs_HV_male \n", + "3 3.260399e-18 COVID_SEV_male_vs_HV_male \n", + "4 4.218774e-18 COVID_SEV_male_vs_HV_male " + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "res_deseq2, models_deseq2 = ptc.ConditionComparison.run_once(\n", + " pt.tl.PyDESeq2,\n", + " pdata,\n", + " condition_cols=condition_cols,\n", + ")\n", + "\n", + "print(f\"{len(res_deseq2):,} DE results across {res_deseq2['contrast'].nunique()} contrasts\")\n", + "print(\"Available contrasts:\", list(models_deseq2))\n", + "res_deseq2.head()" + ] }, { - "data": { - "text/plain": [ - "ConditionComparison(PyDESeq2, ) [7 model(s): ['COVID_SEV_male_vs_HV_male', 'COVID_SEV_male_vs_COVID_SEV_female', 'COVID_SEV_male_vs_HV_female', 'HV_male_vs_COVID_SEV_female', 'HV_male_vs_HV_female', 'COVID_SEV_female_vs_HV_female', 'COVID_SEV_vs_HV']]" + "cell_type": "markdown", + "id": "0309cff4", + "metadata": {}, + "source": [ + "## Differential expression - EdgeR\n", + "\n", + "Switch to EdgeR by changing a single argument. Everything else is identical.\n", + "EdgeR requires R with the `edgeR` Bioconductor package installed." ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# All pairwise combinations of Source x Sex\n", - "res_source_sex = cc.run(pdata, condition_cols=[source_col, sex_col])\n", - "\n", - "# Source alone — the primary biological axis from the original COMBAT paper\n", - "res_source = cc.run(pdata, condition_cols=[source_col])\n", - "\n", - "print(\"Source x Sex contrasts:\", res_source_sex[\"contrast\"].unique().tolist())\n", - "print(\"Source-only contrasts: \", res_source[\"contrast\"].unique().tolist())\n", - "print(\"All stored models:\", list(cc.models_))\n", - "cc # repr shows model count after run" - ] - }, - { - "cell_type": "markdown", - "id": "5fa914c4", - "metadata": {}, - "source": [ - "## Restrict to biologically motivated contrasts\n", - "\n", - "Pass `subset_contrasts` to run only the comparisons you care about — here,\n", - "only contrasts that involve the healthy volunteer (HV) reference group.\n", - "With readable sex labels and four condition groups (COVID_SEV_female,\n", - "COVID_SEV_male, HV_female, HV_male), this gives us five interpretable\n", - "disease-vs-healthy comparisons." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "f03c1a86", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Contrasts vs HV: ['COVID_SEV_male_vs_HV_male', 'COVID_SEV_male_vs_HV_female', 'HV_male_vs_COVID_SEV_female', 'HV_male_vs_HV_female', 'COVID_SEV_female_vs_HV_female']\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n", - "Fitting dispersions...\n", - "... done in 1.22 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.26 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.33 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 1.18 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.08 seconds.\n", - "\n", - "Replacing 162 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.06 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.06 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.06 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 24.21 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] + "cell_type": "code", + "execution_count": 14, + "id": "eec663ae", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[94m•\u001b[0m Calculating NormFactors\n", + "\u001b[94m•\u001b[0m Estimating Dispersions\n", + "\u001b[94m•\u001b[0m Fitting linear model\n", + "\u001b[94m•\u001b[0m Calculating NormFactors\n", + "\u001b[94m•\u001b[0m Estimating Dispersions\n", + "\u001b[94m•\u001b[0m Fitting linear model\n", + "\u001b[94m•\u001b[0m Calculating NormFactors\n", + "\u001b[94m•\u001b[0m Estimating Dispersions\n", + "\u001b[94m•\u001b[0m Fitting linear model\n", + "\u001b[94m•\u001b[0m Calculating NormFactors\n", + "\u001b[94m•\u001b[0m Estimating Dispersions\n", + "\u001b[94m•\u001b[0m Fitting linear model\n", + "\u001b[94m•\u001b[0m Calculating NormFactors\n", + "\u001b[94m•\u001b[0m Estimating Dispersions\n", + "\u001b[94m•\u001b[0m Fitting linear model\n", + "\u001b[94m•\u001b[0m Calculating NormFactors\n", + "\u001b[94m•\u001b[0m Estimating Dispersions\n", + "\u001b[94m•\u001b[0m Fitting linear model\n", + "124,842 DE results across 6 contrasts\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
variablelog_fclogCPMFp_valueadj_p_valuecontrast
0ZNF230-1.5979521.332414118.1890639.179426e-090.00010COVID_SEV_male_vs_HV_male
1TNFSF14-1.9665332.558231117.4502339.567627e-090.00010COVID_SEV_male_vs_HV_male
2KIRREL3-3.524165-2.68324368.8936601.792087e-080.00011COVID_SEV_male_vs_HV_male
3S1PR1-1.5217565.490698102.6879912.445235e-080.00011COVID_SEV_male_vs_HV_male
4ID3-2.5898893.292700101.4913642.654054e-080.00011COVID_SEV_male_vs_HV_male
\n", + "
" + ], + "text/plain": [ + " variable log_fc logCPM F p_value adj_p_value \\\n", + "0 ZNF230 -1.597952 1.332414 118.189063 9.179426e-09 0.00010 \n", + "1 TNFSF14 -1.966533 2.558231 117.450233 9.567627e-09 0.00010 \n", + "2 KIRREL3 -3.524165 -2.683243 68.893660 1.792087e-08 0.00011 \n", + "3 S1PR1 -1.521756 5.490698 102.687991 2.445235e-08 0.00011 \n", + "4 ID3 -2.589889 3.292700 101.491364 2.654054e-08 0.00011 \n", + "\n", + " contrast \n", + "0 COVID_SEV_male_vs_HV_male \n", + "1 COVID_SEV_male_vs_HV_male \n", + "2 COVID_SEV_male_vs_HV_male \n", + "3 COVID_SEV_male_vs_HV_male \n", + "4 COVID_SEV_male_vs_HV_male " + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "res_edger, models_edger = ptc.ConditionComparison.run_once(\n", + " pt.tl.EdgeR,\n", + " pdata,\n", + " condition_cols=condition_cols,\n", + ")\n", + "\n", + "print(f\"{len(res_edger):,} DE results across {res_edger['contrast'].nunique()} contrasts\")\n", + "res_edger.head()" + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.257261 0.638596 2.704208 0.236149 0.813317 \n", - "NOC2L 1301.177247 0.094372 0.111198 0.848677 0.396061 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 15319.067933 0.120656 0.180509 0.668418 0.503866 \n", - "AB_CD224 205047.129847 0.497971 0.158971 3.132462 0.001733 \n", - "AB_c_Met 43838.260224 0.078896 0.163130 0.483640 0.628642 \n", - "AB_CD258_LIGHT 30073.626348 0.274918 0.196365 1.400034 0.161503 \n", - "AB_DR3_TRAMP 54924.487941 -0.001373 0.150129 -0.009143 0.992705 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.579510 \n", - "... ... \n", - "AB_Podocalyxin 0.674455 \n", - "AB_CD224 0.010756 \n", - "AB_c_Met 0.771381 \n", - "AB_CD258_LIGHT 0.322657 \n", - "AB_DR3_TRAMP 0.995708 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] + "cell_type": "markdown", + "id": "1b9932ad", + "metadata": {}, + "source": [ + "## Reuse settings with `ConditionComparison`\n", + "\n", + "`ConditionComparison` stores the model class and default kwargs so you can\n", + "run the same setup across multiple condition axes without repeating yourself.\n", + "After each `run()` call, model instances are stored in `cc.models_` and\n", + "accessible via the named plot wrappers (`plot_volcano`, `plot_fold_change`,\n", + "`plot_multicomparison_fc`) or `cc.get_model(contrast_label)` for full control." + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.23 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.23 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.28 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.80 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.01 seconds.\n", - "\n", - "Replacing 123 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.04 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.04 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.04 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 19.08 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] + "cell_type": "code", + "execution_count": 15, + "id": "792ca7f0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "ConditionComparison(PyDESeq2, )" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cc = ptc.ConditionComparison(pt.tl.PyDESeq2)\n", + "cc" + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.304920 0.413179 2.795188 0.147818 0.882486 \n", - "NOC2L 1275.680812 0.094984 0.141383 0.671824 0.501696 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 15661.234430 -0.046817 0.227499 -0.205790 0.836955 \n", - "AB_CD224 220335.647664 0.167137 0.180218 0.927415 0.353711 \n", - "AB_c_Met 44364.190769 -0.055211 0.201932 -0.273415 0.784534 \n", - "AB_CD258_LIGHT 31169.337939 0.077529 0.240061 0.322956 0.746729 \n", - "AB_DR3_TRAMP 54636.606110 -0.082354 0.184598 -0.446130 0.655504 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.706560 \n", - "... ... \n", - "AB_Podocalyxin 0.919111 \n", - "AB_CD224 0.580670 \n", - "AB_c_Met 0.892113 \n", - "AB_CD258_LIGHT 0.869811 \n", - "AB_DR3_TRAMP 0.814060 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] + "cell_type": "code", + "execution_count": 16, + "id": "f6a2a605", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.01 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.24 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.31 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 1.17 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.01 seconds.\n", + "\n", + "Replacing 162 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.05 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.05 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.05 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 15.05 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.257261 0.638596 2.704208 0.236149 0.813317 \n", + "NOC2L 1301.177247 0.094372 0.111198 0.848677 0.396061 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 15319.067933 0.120656 0.180509 0.668418 0.503866 \n", + "AB_CD224 205047.129847 0.497971 0.158971 3.132462 0.001733 \n", + "AB_c_Met 43838.260224 0.078896 0.163130 0.483640 0.628642 \n", + "AB_CD258_LIGHT 30073.626348 0.274918 0.196365 1.400034 0.161503 \n", + "AB_DR3_TRAMP 54924.487941 -0.001373 0.150129 -0.009143 0.992705 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.579510 \n", + "... ... \n", + "AB_Podocalyxin 0.674455 \n", + "AB_CD224 0.010756 \n", + "AB_c_Met 0.771381 \n", + "AB_CD258_LIGHT 0.322657 \n", + "AB_DR3_TRAMP 0.995708 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.10 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.24 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.39 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.95 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.01 seconds.\n", + "\n", + "Replacing 161 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.06 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.06 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.06 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 9.15 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.475906 -1.105400 1.447396 -0.763717 0.445036 \n", + "NOC2L 1105.555690 0.029394 0.085567 0.343515 0.731211 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 12564.791412 0.146508 0.145149 1.009366 0.312799 \n", + "AB_CD224 204842.505419 -0.100986 0.145320 -0.694922 0.487104 \n", + "AB_c_Met 36280.451090 0.092051 0.134713 0.683313 0.494409 \n", + "AB_CD258_LIGHT 25655.855243 0.153378 0.159897 0.959231 0.337442 \n", + "AB_DR3_TRAMP 44420.734956 0.089644 0.123124 0.728077 0.466566 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.933830 \n", + "... ... \n", + "AB_Podocalyxin 0.749368 \n", + "AB_CD224 0.846654 \n", + "AB_c_Met 0.849794 \n", + "AB_CD258_LIGHT 0.761958 \n", + "AB_DR3_TRAMP 0.837508 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.01 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.24 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.29 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 1.06 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.01 seconds.\n", + "\n", + "Replacing 123 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.04 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.05 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.04 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 18.76 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.304920 0.413179 2.795188 0.147818 0.882486 \n", + "NOC2L 1275.680812 0.094984 0.141383 0.671824 0.501696 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 15661.234430 -0.046817 0.227499 -0.205790 0.836955 \n", + "AB_CD224 220335.647664 0.167137 0.180218 0.927415 0.353711 \n", + "AB_c_Met 44364.190769 -0.055211 0.201932 -0.273415 0.784534 \n", + "AB_CD258_LIGHT 31169.337939 0.077529 0.240061 0.322956 0.746729 \n", + "AB_DR3_TRAMP 54636.606110 -0.082354 0.184598 -0.446130 0.655504 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.706560 \n", + "... ... \n", + "AB_Podocalyxin 0.919111 \n", + "AB_CD224 0.580670 \n", + "AB_c_Met 0.892113 \n", + "AB_CD258_LIGHT 0.869811 \n", + "AB_DR3_TRAMP 0.814060 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.05 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.25 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.36 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 1.03 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.02 seconds.\n", + "\n", + "Replacing 237 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.08 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.09 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.10 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 9.84 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.00 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.452233 -1.724386 1.736218 -0.993186 0.320619 \n", + "NOC2L 1172.035418 -0.046099 0.063806 -0.722486 0.469996 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 13113.387053 0.036543 0.095558 0.382417 0.702152 \n", + "AB_CD224 202108.034488 -0.584439 0.157110 -3.719934 0.000199 \n", + "AB_c_Met 38371.188091 0.025135 0.101797 0.246911 0.804977 \n", + "AB_CD258_LIGHT 25845.291369 -0.110884 0.109539 -1.012277 0.311406 \n", + "AB_DR3_TRAMP 47898.678941 0.103565 0.102374 1.011631 0.311715 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.588439 \n", + "... ... \n", + "AB_Podocalyxin 0.788898 \n", + "AB_CD224 0.000977 \n", + "AB_c_Met 0.867582 \n", + "AB_CD258_LIGHT 0.432657 \n", + "AB_DR3_TRAMP 0.432967 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.07 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.25 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.47 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 1.00 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.01 seconds.\n", + "\n", + "Replacing 0 outlier genes.\n", + "\n", + "Running Wald tests...\n", + "... done in 19.05 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.161094 -0.218150 3.429169 -0.063616 0.949276 \n", + "NOC2L 1457.437279 0.008025 0.072268 0.111045 0.911581 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 17811.995772 -0.162549 0.120624 -1.347573 0.177796 \n", + "AB_CD224 212810.362686 -0.324465 0.170924 -1.898299 0.057657 \n", + "AB_c_Met 51331.924318 -0.128705 0.114996 -1.119209 0.263051 \n", + "AB_CD258_LIGHT 33068.168373 -0.192380 0.107632 -1.787390 0.073875 \n", + "AB_DR3_TRAMP 65395.739182 -0.075470 0.112482 -0.670949 0.502253 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.985759 \n", + "... ... \n", + "AB_Podocalyxin 0.753284 \n", + "AB_CD224 0.559493 \n", + "AB_c_Met 0.797923 \n", + "AB_CD258_LIGHT 0.609126 \n", + "AB_DR3_TRAMP 0.898360 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.18 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.29 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.39 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 1.42 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.02 seconds.\n", + "\n", + "Replacing 124 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.04 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.05 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.05 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 10.18 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.501578 1.498871 1.903771 0.787317 0.431096 \n", + "NOC2L 1140.414076 0.052733 0.084487 0.624154 0.532527 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 13100.698970 -0.201278 0.120307 -1.673042 0.094319 \n", + "AB_CD224 211821.629447 0.255880 0.180603 1.416811 0.156538 \n", + "AB_c_Met 38107.199532 -0.156263 0.121557 -1.285508 0.198615 \n", + "AB_CD258_LIGHT 26119.231594 -0.084049 0.129068 -0.651197 0.514919 \n", + "AB_DR3_TRAMP 46912.388948 -0.181463 0.121083 -1.498663 0.133961 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.682670 \n", + "... ... \n", + "AB_Podocalyxin 0.207273 \n", + "AB_CD224 0.297588 \n", + "AB_c_Met 0.351425 \n", + "AB_CD258_LIGHT 0.668215 \n", + "AB_DR3_TRAMP 0.267058 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.57 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.28 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.51 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 2.02 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.02 seconds.\n", + "\n", + "Replacing 252 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.10 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.09 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.10 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 30.24 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.396043 1.248338 1.305570 0.956163 0.338990 \n", + "NOC2L 1212.810770 0.067816 0.061259 1.107030 0.268281 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 14104.676718 -0.039824 0.107165 -0.371613 0.710181 \n", + "AB_CD224 209277.179155 0.409534 0.120222 3.406467 0.000658 \n", + "AB_c_Met 40707.871349 -0.036795 0.098071 -0.375191 0.707518 \n", + "AB_CD258_LIGHT 27915.251432 0.097523 0.116619 0.836254 0.403012 \n", + "AB_DR3_TRAMP 50528.479383 -0.093938 0.091834 -1.022908 0.306351 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.389903 \n", + "... ... \n", + "AB_Podocalyxin 0.793303 \n", + "AB_CD224 0.002596 \n", + "AB_c_Met 0.791520 \n", + "AB_CD258_LIGHT 0.528338 \n", + "AB_DR3_TRAMP 0.431063 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Source x Sex contrasts: ['COVID_SEV_male_vs_HV_male', 'COVID_SEV_male_vs_COVID_SEV_female', 'COVID_SEV_male_vs_HV_female', 'HV_male_vs_COVID_SEV_female', 'HV_male_vs_HV_female', 'COVID_SEV_female_vs_HV_female']\n", + "Source-only contrasts: ['COVID_SEV_vs_HV']\n", + "All stored models: ['COVID_SEV_male_vs_HV_male', 'COVID_SEV_male_vs_COVID_SEV_female', 'COVID_SEV_male_vs_HV_female', 'HV_male_vs_COVID_SEV_female', 'HV_male_vs_HV_female', 'COVID_SEV_female_vs_HV_female', 'COVID_SEV_vs_HV']\n" + ] + }, + { + "data": { + "text/plain": [ + "ConditionComparison(PyDESeq2, ) [7 model(s): ['COVID_SEV_male_vs_HV_male', 'COVID_SEV_male_vs_COVID_SEV_female', 'COVID_SEV_male_vs_HV_female', 'HV_male_vs_COVID_SEV_female', 'HV_male_vs_HV_female', 'COVID_SEV_female_vs_HV_female', 'COVID_SEV_vs_HV']]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# All pairwise combinations of Source x Sex\n", + "res_source_sex = cc.run(pdata, condition_cols=[source_col, sex_col])\n", + "\n", + "# Source alone — the primary biological axis from the original COMBAT paper\n", + "res_source = cc.run(pdata, condition_cols=[source_col])\n", + "\n", + "print(\"Source x Sex contrasts:\", res_source_sex[\"contrast\"].unique().tolist())\n", + "print(\"Source-only contrasts: \", res_source[\"contrast\"].unique().tolist())\n", + "print(\"All stored models:\", list(cc.models_))\n", + "cc # repr shows model count after run" + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.03 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.25 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.37 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.97 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.02 seconds.\n", - "\n", - "Replacing 237 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.09 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.08 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.09 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 8.46 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.00 seconds.\n", - "\n" - ] + "cell_type": "markdown", + "id": "5fa914c4", + "metadata": {}, + "source": [ + "## Restrict to biologically motivated contrasts\n", + "\n", + "Pass `subset_contrasts` to run only the comparisons you care about — here,\n", + "only contrasts that involve the healthy volunteer (HV) reference group.\n", + "With readable sex labels and four condition groups (COVID_SEV_female,\n", + "COVID_SEV_male, HV_female, HV_male), this gives us five interpretable\n", + "disease-vs-healthy comparisons." + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.452233 -1.724386 1.736218 -0.993186 0.320619 \n", - "NOC2L 1172.035418 -0.046099 0.063806 -0.722486 0.469996 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 13113.387053 0.036543 0.095558 0.382417 0.702152 \n", - "AB_CD224 202108.034488 -0.584439 0.157110 -3.719934 0.000199 \n", - "AB_c_Met 38371.188091 0.025135 0.101797 0.246911 0.804977 \n", - "AB_CD258_LIGHT 25845.291369 -0.110884 0.109539 -1.012277 0.311406 \n", - "AB_DR3_TRAMP 47898.678941 0.103565 0.102374 1.011631 0.311715 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.588439 \n", - "... ... \n", - "AB_Podocalyxin 0.788898 \n", - "AB_CD224 0.000977 \n", - "AB_c_Met 0.867582 \n", - "AB_CD258_LIGHT 0.432657 \n", - "AB_DR3_TRAMP 0.432967 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] + "cell_type": "code", + "execution_count": 17, + "id": "f03c1a86", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Contrasts vs HV: ['COVID_SEV_male_vs_HV_male', 'COVID_SEV_male_vs_HV_female', 'HV_male_vs_COVID_SEV_female', 'HV_male_vs_HV_female', 'COVID_SEV_female_vs_HV_female']\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n", + "Fitting dispersions...\n", + "... done in 1.22 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.26 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.33 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 1.18 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.08 seconds.\n", + "\n", + "Replacing 162 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.06 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.06 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.06 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 24.21 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.257261 0.638596 2.704208 0.236149 0.813317 \n", + "NOC2L 1301.177247 0.094372 0.111198 0.848677 0.396061 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 15319.067933 0.120656 0.180509 0.668418 0.503866 \n", + "AB_CD224 205047.129847 0.497971 0.158971 3.132462 0.001733 \n", + "AB_c_Met 43838.260224 0.078896 0.163130 0.483640 0.628642 \n", + "AB_CD258_LIGHT 30073.626348 0.274918 0.196365 1.400034 0.161503 \n", + "AB_DR3_TRAMP 54924.487941 -0.001373 0.150129 -0.009143 0.992705 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.579510 \n", + "... ... \n", + "AB_Podocalyxin 0.674455 \n", + "AB_CD224 0.010756 \n", + "AB_c_Met 0.771381 \n", + "AB_CD258_LIGHT 0.322657 \n", + "AB_DR3_TRAMP 0.995708 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.23 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.23 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.28 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.80 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.01 seconds.\n", + "\n", + "Replacing 123 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.04 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.04 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.04 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 19.08 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.304920 0.413179 2.795188 0.147818 0.882486 \n", + "NOC2L 1275.680812 0.094984 0.141383 0.671824 0.501696 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 15661.234430 -0.046817 0.227499 -0.205790 0.836955 \n", + "AB_CD224 220335.647664 0.167137 0.180218 0.927415 0.353711 \n", + "AB_c_Met 44364.190769 -0.055211 0.201932 -0.273415 0.784534 \n", + "AB_CD258_LIGHT 31169.337939 0.077529 0.240061 0.322956 0.746729 \n", + "AB_DR3_TRAMP 54636.606110 -0.082354 0.184598 -0.446130 0.655504 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.706560 \n", + "... ... \n", + "AB_Podocalyxin 0.919111 \n", + "AB_CD224 0.580670 \n", + "AB_c_Met 0.892113 \n", + "AB_CD258_LIGHT 0.869811 \n", + "AB_DR3_TRAMP 0.814060 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.03 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.25 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.37 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.97 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.02 seconds.\n", + "\n", + "Replacing 237 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.09 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.08 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.09 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 8.46 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.00 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.452233 -1.724386 1.736218 -0.993186 0.320619 \n", + "NOC2L 1172.035418 -0.046099 0.063806 -0.722486 0.469996 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 13113.387053 0.036543 0.095558 0.382417 0.702152 \n", + "AB_CD224 202108.034488 -0.584439 0.157110 -3.719934 0.000199 \n", + "AB_c_Met 38371.188091 0.025135 0.101797 0.246911 0.804977 \n", + "AB_CD258_LIGHT 25845.291369 -0.110884 0.109539 -1.012277 0.311406 \n", + "AB_DR3_TRAMP 47898.678941 0.103565 0.102374 1.011631 0.311715 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.588439 \n", + "... ... \n", + "AB_Podocalyxin 0.788898 \n", + "AB_CD224 0.000977 \n", + "AB_c_Met 0.867582 \n", + "AB_CD258_LIGHT 0.432657 \n", + "AB_DR3_TRAMP 0.432967 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 0.97 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.24 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.26 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.91 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.01 seconds.\n", + "\n", + "Replacing 0 outlier genes.\n", + "\n", + "Running Wald tests...\n", + "... done in 16.73 seconds.\n", + "\n", + "Fitting size factors...\n", + "... done in 0.01 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.161094 -0.218150 3.429169 -0.063616 0.949276 \n", + "NOC2L 1457.437279 0.008025 0.072268 0.111045 0.911581 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 17811.995772 -0.162549 0.120624 -1.347573 0.177796 \n", + "AB_CD224 212810.362686 -0.324465 0.170924 -1.898299 0.057657 \n", + "AB_c_Met 51331.924318 -0.128705 0.114996 -1.119209 0.263051 \n", + "AB_CD258_LIGHT 33068.168373 -0.192380 0.107632 -1.787390 0.073875 \n", + "AB_DR3_TRAMP 65395.739182 -0.075470 0.112482 -0.670949 0.502253 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.985759 \n", + "... ... \n", + "AB_Podocalyxin 0.753284 \n", + "AB_CD224 0.559493 \n", + "AB_c_Met 0.797923 \n", + "AB_CD258_LIGHT 0.609126 \n", + "AB_DR3_TRAMP 0.898360 \n", + "\n", + "[20807 rows x 6 columns]\n", + "Using None as control genes, passed at DeseqDataSet initialization\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting dispersions...\n", + "... done in 1.02 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.23 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.32 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.93 seconds.\n", + "\n", + "Calculating cook's distance...\n", + "... done in 0.02 seconds.\n", + "\n", + "Replacing 124 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.04 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.04 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.05 seconds.\n", + "\n", + "Running Wald tests...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "OR4F5 0.000000 NaN NaN NaN NaN \n", + "OR4F29 0.000000 NaN NaN NaN NaN \n", + "OR4F16 0.000000 NaN NaN NaN NaN \n", + "SAMD11 0.501578 1.498871 1.903771 0.787317 0.431096 \n", + "NOC2L 1140.414076 0.052733 0.084487 0.624154 0.532527 \n", + "... ... ... ... ... ... \n", + "AB_Podocalyxin 13100.698970 -0.201278 0.120307 -1.673042 0.094319 \n", + "AB_CD224 211821.629447 0.255880 0.180603 1.416811 0.156538 \n", + "AB_c_Met 38107.199532 -0.156263 0.121557 -1.285508 0.198615 \n", + "AB_CD258_LIGHT 26119.231594 -0.084049 0.129068 -0.651197 0.514919 \n", + "AB_DR3_TRAMP 46912.388948 -0.181463 0.121083 -1.498663 0.133961 \n", + "\n", + " padj \n", + "OR4F5 NaN \n", + "OR4F29 NaN \n", + "OR4F16 NaN \n", + "SAMD11 NaN \n", + "NOC2L 0.682670 \n", + "... ... \n", + "AB_Podocalyxin 0.207273 \n", + "AB_CD224 0.297588 \n", + "AB_c_Met 0.351425 \n", + "AB_CD258_LIGHT 0.668215 \n", + "AB_DR3_TRAMP 0.267058 \n", + "\n", + "[20807 rows x 6 columns]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "... done in 15.10 seconds.\n", + "\n" + ] + }, + { + "data": { + "text/plain": [ + "array(['COVID_SEV_male_vs_HV_male', 'COVID_SEV_male_vs_HV_female',\n", + " 'HV_male_vs_COVID_SEV_female', 'HV_male_vs_HV_female',\n", + " 'COVID_SEV_female_vs_HV_female'], dtype=object)" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "all_contrasts = ptc.build_all_pairwise_contrasts(pdata, condition_cols)\n", + "\n", + "vs_hv = [c for c in all_contrasts if \"HV\" in c[\"group\"] or \"HV\" in c[\"baseline\"]]\n", + "print(\"Contrasts vs HV:\", [c[\"label\"] for c in vs_hv])\n", + "\n", + "res_vs_hv, models_vs_hv = ptc.ConditionComparison.run_once(\n", + " pt.tl.PyDESeq2,\n", + " pdata,\n", + " condition_cols=condition_cols,\n", + " subset_contrasts=vs_hv,\n", + ")\n", + "res_vs_hv[\"contrast\"].unique()" + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 0.97 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.24 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.26 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.91 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.01 seconds.\n", - "\n", - "Replacing 0 outlier genes.\n", - "\n", - "Running Wald tests...\n", - "... done in 16.73 seconds.\n", - "\n", - "Fitting size factors...\n", - "... done in 0.01 seconds.\n", - "\n" - ] + "cell_type": "markdown", + "id": "00457f75", + "metadata": {}, + "source": [ + "## Inspect and visualise results\n", + "\n", + "### How many genes are differentially expressed per contrast?\n", + "\n", + "We first look at the number of DE genes (FDR < 0.05) per contrast to get\n", + "a sense of which comparisons are most informative." + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [0. 1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.161094 -0.218150 3.429169 -0.063616 0.949276 \n", - "NOC2L 1457.437279 0.008025 0.072268 0.111045 0.911581 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 17811.995772 -0.162549 0.120624 -1.347573 0.177796 \n", - "AB_CD224 212810.362686 -0.324465 0.170924 -1.898299 0.057657 \n", - "AB_c_Met 51331.924318 -0.128705 0.114996 -1.119209 0.263051 \n", - "AB_CD258_LIGHT 33068.168373 -0.192380 0.107632 -1.787390 0.073875 \n", - "AB_DR3_TRAMP 65395.739182 -0.075470 0.112482 -0.670949 0.502253 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.985759 \n", - "... ... \n", - "AB_Podocalyxin 0.753284 \n", - "AB_CD224 0.559493 \n", - "AB_c_Met 0.797923 \n", - "AB_CD258_LIGHT 0.609126 \n", - "AB_DR3_TRAMP 0.898360 \n", - "\n", - "[20807 rows x 6 columns]\n", - "Using None as control genes, passed at DeseqDataSet initialization\n" - ] + "cell_type": "code", + "execution_count": 18, + "id": "5f2a7923", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "contrast\n", + "HV_male_vs_COVID_SEV_female 6316\n", + "COVID_SEV_female_vs_HV_female 4135\n", + "COVID_SEV_male_vs_HV_male 3641\n", + "COVID_SEV_male_vs_HV_female 2377\n", + "COVID_SEV_male_vs_COVID_SEV_female 231\n", + "HV_male_vs_HV_female 70\n" + ] + } + ], + "source": [ + "# Number of significant genes per contrast (FDR < 0.05)\n", + "sig = res_deseq2[res_deseq2[\"adj_p_value\"] < 0.05]\n", + "n_sig = (\n", + " sig.groupby(\"contrast\")[\"variable\"]\n", + " .count()\n", + " .rename(\"n_sig_genes\")\n", + " .sort_values(ascending=False)\n", + ")\n", + "print(n_sig.to_string())" + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting dispersions...\n", - "... done in 1.02 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.23 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.32 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.93 seconds.\n", - "\n", - "Calculating cook's distance...\n", - "... done in 0.02 seconds.\n", - "\n", - "Replacing 124 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.04 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.04 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.05 seconds.\n", - "\n", - "Running Wald tests...\n" - ] + "cell_type": "markdown", + "id": "n_sig_interpretation", + "metadata": {}, + "source": [ + "The contrast with the most DE genes is `HV_male_vs_COVID_SEV_female`. This is expected: it conflates\n", + "two orthogonal biological signals (disease status *and* sex) so genes\n", + "driving both effects are captured simultaneously. The contrast with the\n", + "fewest DE genes (`HV_male_vs_HV_female`) reflects pure\n", + "sex differences in healthy individuals.\n", + "\n", + "Most interesting are the within-sex disease comparisons\n", + "(`COVID_SEV_female_vs_HV_female` and `COVID_SEV_male_vs_HV_male`): comparing\n", + "their DE gene counts tells us whether the transcriptional response to COVID-19\n", + "is stronger in one sex than the other." + ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value, contrast vector: [ 0. -1.]\n", - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "OR4F5 0.000000 NaN NaN NaN NaN \n", - "OR4F29 0.000000 NaN NaN NaN NaN \n", - "OR4F16 0.000000 NaN NaN NaN NaN \n", - "SAMD11 0.501578 1.498871 1.903771 0.787317 0.431096 \n", - "NOC2L 1140.414076 0.052733 0.084487 0.624154 0.532527 \n", - "... ... ... ... ... ... \n", - "AB_Podocalyxin 13100.698970 -0.201278 0.120307 -1.673042 0.094319 \n", - "AB_CD224 211821.629447 0.255880 0.180603 1.416811 0.156538 \n", - "AB_c_Met 38107.199532 -0.156263 0.121557 -1.285508 0.198615 \n", - "AB_CD258_LIGHT 26119.231594 -0.084049 0.129068 -0.651197 0.514919 \n", - "AB_DR3_TRAMP 46912.388948 -0.181463 0.121083 -1.498663 0.133961 \n", - "\n", - " padj \n", - "OR4F5 NaN \n", - "OR4F29 NaN \n", - "OR4F16 NaN \n", - "SAMD11 NaN \n", - "NOC2L 0.682670 \n", - "... ... \n", - "AB_Podocalyxin 0.207273 \n", - "AB_CD224 0.297588 \n", - "AB_c_Met 0.351425 \n", - "AB_CD258_LIGHT 0.668215 \n", - "AB_DR3_TRAMP 0.267058 \n", - "\n", - "[20807 rows x 6 columns]\n" - ] + "cell_type": "markdown", + "id": "volcano_intro", + "metadata": {}, + "source": [ + "### Volcano plots: COVID-19 response within each sex\n", + "\n", + "We visualise the two within-sex disease contrasts side-by-side. If the\n", + "response is sex-dimorphic, we expect different genes or different effect sizes\n", + "between the two plots." + ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "... done in 15.10 seconds.\n", - "\n" - ] + "cell_type": "code", + "execution_count": 19, + "id": "d61de6c1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NaNs encountered, dropping rows with NaNs\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# COVID in females vs healthy females\n", + "cc.plot_volcano(\"COVID_SEV_female_vs_HV_female\", results_df=res_source_sex)" + ] }, { - "data": { - "text/plain": [ - "array(['COVID_SEV_male_vs_HV_male', 'COVID_SEV_male_vs_HV_female',\n", - " 'HV_male_vs_COVID_SEV_female', 'HV_male_vs_HV_female',\n", - " 'COVID_SEV_female_vs_HV_female'], dtype=object)" + "cell_type": "code", + "execution_count": 20, + "id": "volcano_male", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NaNs encountered, dropping rows with NaNs\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAArQAAAHHCAYAAABOYMsoAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3Xd0lEUXwOHf1pRN7xVIKKH3Kh0EFBSkSBdEFBWkiAUrxQooiApYPmkiCCIKiCJIBxEVEJROgJCQkN7rZsv3R2BlzYaWHu5zTs5xZ+Z935lINjezM3cUZrPZjBBCCCGEEJWUsrw7IIQQQgghRHFIQCuEEEIIISo1CWiFEEIIIUSlJgGtEEIIIYSo1CSgFUIIIYQQlZoEtEIIIYQQolKTgFYIIYQQQlRqEtAKIYQQQohKTQJaG1q2bElQUBAtW7Ys764IIYQQQoibUJd3Byqi2NhYoqOjy7sbQlRK8+fPJz09HRcXF6ZOnVre3RFCCHEXUMjRt4UFBQURHR1NYGAgly9fLu/uiDL0119/sWrVqiLrW7duzeDBgzl//jyffPIJtWrV4qmnnrJqM3PmTHr27Mk999wDwLvvvktSUpJVG61WyzvvvIPBYGDr1q1s2bKFCxcu4OvrS+/evRk0aBAKhQIAo9HIokWLOHLkCHFxcXh7e9OrVy+GDBmCWv3v36RGo5HVq1fz7bff4uzszMSJE2nTpk1JfWtumfz8CCGEKGuy5ECI6+Tn55OWllbo6+TJk8ybN4/jx48DEBUVxbx585gwYQInT560usfixYs5evSo5fWSJUvYsWNHoXsCXLhwgWHDhpGZmUm3bt1wdHRk5MiRTJw40XK9Xq9n7dq1+Pr60rNnT9zc3Bg3bhxPP/201XPHjh3L888/T5cuXfD19aVDhw588803pfSdKlrnzp3p2bMnnTt3LvNnCyGEuDvJDK0NMsMkrpeTk0PHjh3RarXs2rULOzs7du/eTdeuXWnZsiXBwcF89913lvY+Pj7MnDmT8ePHA1CrVi2GDx/OG2+8UejeWVlZ5Ofn4+bmZilbsGABL7zwAvHx8bi7u9vs08KFC5k8eTJpaWk4OTlx+vRp6tWrx44dO+jWrRsAzz33HBs3biQ8PLwEvxtCCCFExSMztELcgNlsZty4ccTExLB+/Xrs7Oys6t9++202bNjAH3/8cUf31+l0VsEsQP369TEYDGRkZBR5nZ2dHfb29pb+7N69Gw8PD6tZ0UGDBnH+/Hn5o0wIIUSVJ5vChLiBBQsW8M0337B37178/f0L1Tdr1owhQ4bw0ksvsWPHDsu61/86dOgQn3zyieV18+bNi1zfunz5cho2bEhwcLBV+f79+zlx4gQXLlzgq6++YuHChWg0GgCOHTtG9erVUalUlvYhISEAHD16lKCgoNsbuBBCCFGJSEArRBG2b9/O888/zxdffHHDzVVvvPEG9erVY/v27fTo0cNmm5MnT5Kbm2t5rdFobN5z8eLFfPfdd+zZs6dQcHz48GE2btzIhQsX8PDwoEaNGpa6zMxMXFxcrNq7uroCBcsahBBCiKpMlhwIYcOFCxcYMmQIEyZMYMyYMTdsW7t2bR5//HFefvllTCaTzTajRo1i586dlq/HH38cgB07dmA0GgH46quvmDp1KuvWrbMZ7E6ePJmdO3dy4cIFBg0axAMPPEB8fDwAjo6OhZYopKenW+rKUrdu3WjQoIFlLa8QQghR2iSgFeI/MjMzeeihh2jSpAnz5s27pWumT5/OiRMnWL9+/S0/5/Dhw3Tu3BmVSsWaNWsYO3YsX331FQ8++OANr1MqlTz11FNkZ2dz6NAhABo3bkxkZKRVQH3p0iVLXVk6e/YsJ0+e5OzZs2X6XCGEEHcvCWiFuI7ZbGbMmDGkp6ezdu1ayxrVmwkICGDSpEm89tprGAyGW7qmTp06qNVq1q1bx+jRo1m+fDmDBg2y2af/uhbIVqtWDShIlZWYmMivv/5qafP9999TvXp1SxshhBCiqpI1tEJcZ8mSJXz77bd069bNZpqt0NBQnn32WZvXTps2jc8++8ySY/ZmnJ2dOXv2LMOGDaNmzZocOHCAAwcOWOqfe+45atSowfr16/nqq6/o0KEDOp2OM2fOsHTpUvr370/Dhg0BaNiwIYMHD2bYsGHMmDGDqKgo5s+fz//+978iN6oJIYQQVYUEtEJcx9/fnwkTJgC2Z0avlQUGBjJhwgTs7e0tdR4eHnz22Wfs27fPEmgCjBw5kpYtW9p8nlartZw0VlRK6DZt2nD06FF27txJRkYGwcHBLFq0iKFDh1q1W7lyJUuXLmXNmjW4uLiwZcsWWccqhBDiriAHK9ggByvcPYwmM3HpuRhMZqp5lO3mqbS0NEsmgqpEfn6EEEKUNZmhFXetjNx89pxNYMbGEyRl6bmvoR8DmgXSJsQDFwdNqX9UP2jQIPr160e1atXo27dvqT5LCCGEqMpkU5i4a52+ksEzq/8iKUsPwM/HYxm38jDt5+wiKiWn1J9/6tQpJk6caDkiVwghRNWUk5NDYmIily9fJjExkZyc0v8dU1wzZ86kadOmt9ROoVCgUChQq9V4eXnRqVMnFixYQF5enlXbLl26WNpe/3Vt6V1xyAytuCulZuuZu/W0zbrMPAPbTsTyeMfQMu6VEEKIqiYtLY1NmzZx4cIFS1nNmjV58MEHq8yyswYNGrB9+3ZMJhNJSUns3r2bt956i5UrV7J7926cnZ0tbZ944olCm65LIl+6zNCKu1JuvpHTVzKKrP/jYjKGIg5JEEIIIW5FTk5OoWAW4Pz58/zwww+lNlPbpUsXJk2axIsvvoiHhwd+fn7MnDnTqk1kZCT9+vXDyckJFxcXBg8eTFxcHFBwBPusWbM4duyYZRZ1+fLlRT5PrVbj5+dHQEAAjRo1YuLEiezZs4fjx48zZ84cq7aOjo74+flZff33pMs7ITO04q6kUSkJ8nDgVBFBbZifM2pl6f69N336dDIzM3FycirV55S1qjouIYS4XVlZWYWC2WvOnz9PVlYWDg4OpfLsFStWMHXqVH7//Xd+++03Hn30Udq3b0+PHj0wmUyWYHbPnj0YDAYmTJjAkCFD2L17N0OGDOH48eP8/PPPbN++HeC2Z5Pr1q3L/fffz3fffcdbb71VGkO0IgGtuCt5Otnxdv9GfL73AvlGEyqFAqVSQVp2PseiUunfLLDU+zBu3LhSf0Z5qKrjEkKI25Wbm1us+uJo3LgxM2bMAAqOaF+4cCE7duygR48e7Nixg3/++YeLFy8SHBwMwJdffkmDBg34888/adWqFU5OTpaZ1ztVt25dtm3bZlW2ePFivvjiC6uyzz77jBEjRtzxc0ACWnEXa17NnU9HtihUnp6Tj1Ytq3GEEEIUz/W5yu+kvjj+e+y5v78/8fHxQMGm5ODgYEswC1C/fn3c3Nw4deoUrVq1KpE+mM3mQhmDRowYwauvvmpV5uvrW+xnSUArqgyz2Uxceh55BiPujlpcHDRERUVx8eLFG17Xpk0boqKiiImJoV69enh7e1vqUlNT+fvvv2nbti1arZbMzEyOHDlS6B6+vr6EhYUBkJ+fz+7du4mIiECr1VKvXj2aN2+OWl3w43bmzBnLOqXrNW/e3PIxvclk4uzZs8THx1O/fn28vLyK7H98fDynT58mNDSUoKCgm3+jhBBClAmdTkfNmjU5f/58obqaNWui0+lK7dn/PbpdoVBgKuO9IadOnSIkJMSqzNXVlVq1apX4sySgFVVCclYev5yMY/4vZ4lLz2NW3/qMvieEDRs28Oabb1raJSYmYm9vb7W+8++//2bBggUsWrSIwYMHs3btWqu6zp07ExcXh4+PD+Hh4XTu3Bk3NzerN4vBgwezcOFCTp06xQMPPEB6ejrNmjUjLy+Pw4cPM3jwYJYuXQrAu+++y6pVq3B3d7caw44dO2jUqBFLly5lypQpZGQUrO/97rvv6N+/v81xm0wmBg0axL59+3j//fd57rnniv/NLKYrV65gNBpRqVT4+/uXd3eEEKLcODg48OCDD/LDDz9YBbXXshyU1vrZm6lXrx5RUVFERUVZZmlPnjxJamoq9evXBwpOsjQajXf8jNOnT/Pzzz/z8ssvl0ifb0YCWlHp5RuNfHv4Mu/89G8armubvSZOnMjEiRMt5aGhoYwcObJQyhAAb29v1q1bx4svvkiLFoWXIlxv9+7dNGnSpFD5q6++ipeXF8ePH7e8UeXk5HD27Fmrdh07dmTnzp02792gQQNWrVpFvXr1qF279g378cknn6DVam84g1vWWrVqJSeFCSHEVa6urgwcOJCsrCxyc3Oxt7dHp9OVWzALcO+999KoUSNGjBjBggULMBgMjB8/ns6dO1uOaq9RowYXL17k6NGjBAUF4ezsjJ2dnc37GQwGYmNjC6Xtatq0KS+88IJV2+zsbGJjY63K7OzsCk3y3C5ZKCgqvbj0PD7cfs6q7Lsj0aw/cpkc/a3/dVmvXj0GDBjAK6+8csd9uTaje/0blYODg83gtyht2rThwQcfJCAg4IbtIiIimDVrFp999lmpn2omhBDizjk4OODl5UVQUBBeXl7lGsxCwfKDjRs34u7uTqdOnbj33nsJDQ21+oRy4MCB3HfffXTt2hVvb2++/vrrIu934sQJ/P39qVatGl26dOGbb77h5ZdfZt++fYUy3vzvf//D39/f6mvYsGHFHpPM0IpKLy0nn6z/BK56o4nnvjnGc98cY8Vjrelcx7uIq629+eabNGzYkF27dtG1a9ci28XHxxMTE2N57eXlhVarpUWLFqxYsYJmzZrRs2dPPD09bV6fl5dndf3tzrKazWaeeOIJXnjhBWrWrHnL1wkhhKj6du/eXahsw4YNVq+rVavGxo0bi7yHnZ0d33777U2fNXPmzEI5bm+nXyVFZmhFpWenVt2w3sX+1v9uq1evHo8++igvv/wyZrO5yHY9e/YkMDDQ8nX8+HEAFixYQMuWLRkxYgReXl40bNiQWbNmkZ2dbXX9gQMHrK4fMGDALfcRYOnSpSQlJfHss8/e1nVCCCFEVSQztKLS89RpaV7djSOXUgvVeTvZ4ed6e2lRZsyYQZ06ddi0aVORa3p+/fVXGjVqZHl97dg+f39/fvzxR+Li4ti3bx+//PIL77zzDnv27GHHjh2WpQEdO3bkxx9/tFyvUt04KL9edHQ006ZNY9u2bZbMCUIIIcTdTH4bikrPXadl/sNNGf6/g8Sk/Zuk2tlOzdIxrfBzub2Atlq1aowfP55XXnmFhQsX2myj0+mszqb+L19fXwYNGsSgQYNo06YNY8eO5fz585ZUJWq1+obX38iKFStQqVTMnz/fUpaWlsaqVauIiIjg448/vqP7CiGEEJWVBLSiSqjhpWP90/dwNi6D49HphHrraBTkSoCrwx1tmHr55Zf54osv+Oqrr4rdt2rVqgGQnp5eqO7s2bM8+uijHDhw4Jbv16FDB/Lz863K1Go13t7ehfL9CSGEEHcDCWhFleHv5oC/mwOdw3yKfS9vb2+ef/55Zs2adVvXDR8+nB49etC1a1fc3Nw4ffo006ZNo3bt2jRt2rRQe71eT2RkpFVZYmIif/31l+VIxKNHj+Lk5ES1atUICwujU6dOdOrUyeqaRYsW0bNnT6ZOnXp7AxVCCCGqANkUJu4qAQEBuLq6Fip3d3fHx8c6EH722WepV68ewcHBKJUFPyoajYbg4OBCJ7BcU7duXebOnUtoaCju7u7ce++91KhRg82bN1vu4eHhUehZ1ztx4gRjx45lwoQJBAcHs2zZMsaOHWuVTuW/AgMD73gJgxBCCFHZKcw32sp9lwoKCpLE8KJY8vLyyM3NxcXF5YZLHtauXctzzz1Xpf6dyc+PEEKIsiZLDoQoBXZ2dkWeqHJNdnY2TZs2ZceOHWXUq7KxY8cODAaDZGAQQghRZuQ3jhDlxNHRkbCwsPLuRomrimMSQghRsckaWiGEEEKIKqZLly5MmTKlUPny5ctxc3Mr8/6UNpmhFUIIIYQoRYa0NIxJSZgyMlA6u6Dy9EBtY4OyuHMS0ApRTlavXk12djaOjo4MHz68vLtTYqrquIQQ4k7kX4kl5rXXyP71V0uZY4cOBLz5Jhp/v3LsGTz66KOkpqbSrFkzFi5cSF5eHsOHD+ejjz5Cq9WWa99ulwS0QpSTF1980ZINoCoFflV1XEIIcbsMaWmFglmA7P37iXn9dQLnvV/uM7U7duzA3t6e3bt3ExERwZgxY/D09OTtt98u137dLllDK4QQQghRCoxJSYWC2Wuy9+/HmJRUxj0qTKvVsnTpUho0aECfPn144403+OijjzCZTOXdtdsiAa0QQgghRCkwZWTcpD6zjHpStCZNmuDo6Gh53a5dOzIzM4mKiirHXt0+CWiFEEIIIUqB8iYnOCqdnUrt2S4uLqSlpRUqT01NtXliZmUnAa0QQgghRClQeXri2KGDzTrHDh1QeXqW2rPDwsI4cuRIofIjR45Qp04dy+tjx46Rk5NjeX3w4EGcnJwIDg4utb6VhkoT0K5bt45+/foRFBSETqejadOmLF26lP+e3LtkyRLq1KmDvb09TZo0YfPmzeXUYyGEEELczdSurgS8+WahoNaxQwcC3nqzVDeEPf3005w9e5ZJkybx999/c+bMGebPn8/XX3/Nc889Z2mn1+sZO3YsJ0+e5KeffmLGjBk888wzKJWVJkQEKlGWg/nz51OjRg3mzZuHt7c3v/zyC0888QRRUVHMmDEDgDVr1vDEE0/w6quv0q1bN9auXUv//v3Zt28fbdu2LecRCCGEEOJuo/H3I3De+1fz0GaidHZC5elZ6tkNQkND2bt3L6+++ir33nsver2eunXrsm7dOu677z5Lu+7du1O7dm06depEXl4ew4YNY+bMmaXat9KgMP93irOCSkxMxMvLy6ps3LhxrF27lpSUFJRKJWFhYbRo0YLVq1db2txzzz24ubnx008/3fKzgoKCLGmHLl++XGJjEOJ6VfXfWVUdlxBCVDXX8tBu2LChvLtSbJVmPvm/wSxAs2bNSE9PJysriwsXLnD27FkGDx5s1Wbo0KHs2LGDvLy8suqqEEIIIYQoQ5UmoLVl//79BAYG4uzszOnTpwGoW7euVZt69eqh1+u5ePFieXRRiCL5+fkRGBiIn1/5nhRT0qrquIQQQlRclWYN7X/t37+fNWvWMG/ePABSUlIAcHNzs2rn7u4OQHJycpH3mj9/PvPnz7e8vnLlSgn3VojCDh06VN5dKBVVdVxCCFHVLF++vLy7UGIqZUB7+fJlhgwZQteuXZk0aVKx75eenk50dHQJ9EwIIYQQQpS1ShfQpqamcv/99+Pp6cn69estaSWuzcSmpaVZfdR5bebWw8OjyHu6uLgQGBhoeX3lypVKd+SbEEIIIcTdqlKtoc3JyeGBBx4gLS2NLVu2WJ10cW3t7LW1tNecPn0arVZLaGhokfedOnUqly9ftnz5+/uXzgCEEEIIIUSJqzQztAaDgcGDB3Pq1Cn27dtnNaMKBfnW6tSpYzmA4Zq1a9fSvXt3tFptWXdZiBt68sknSU5OxsPDg88++6y8u1Niquq4hBBCVFyVJqAdP348mzdvZt68eaSnp3Pw4EFLXbNmzbCzs2PmzJmMGDGCmjVr0rVrV9auXcvvv//O3r17y7HnQtj2448/WvK1ViVVdVxCCCEqrkoT0G7btg3A6ri2ay5evEiNGjUYNmwY2dnZzJ49m9mzZxMWFsb3339Pu3btyrq7QgghhBCijFSagDYiIuKW2o0dO5axY8eWbmeEEEIIIUSFUak2hQkhhBBCiJt79NFHUSgUKBQKNBoNvr6+9OjRg6VLl1bJTE4S0AohhBBClKK0bD3n4zP5KzKF8wmZpGXry+S59913H1euXCEiIoItW7bQtWtXJk+ezAMPPIDBYCiTPpQVCWiFEEIIIUpJTGoOz3z9F93n76H/4gN0n7eHiV//RUxqTqk/287OznIcefPmzXnllVfYuHEjW7ZssZwSFhkZSb9+/XBycsLFxYXBgwcTFxcHFOT2V6lUlhMgTSYTHh4etG3b1vKMr776iuDgYKBgeahCoeC7776ja9euODo60qRJE3777bdSH6sEtEIIIYQQpSAtW8+09X+z71yiVfnec4m8tP7vMpupvV63bt1o0qQJ3333HSaTiX79+pGcnMyePXv45ZdfuHDhAkOGDAHA1dWVpk2bsnv3bgD++ecfFAoFf/31F5mZmQDs2bOHzp07Wz3j1Vdf5fnnn+fo0aPUqVOHYcOGlfqMsAS0QgghhBClIDFTXyiYvWbvuUQSM8s+oIWCw6giIiLYsWMH//zzD6tXr6ZFixa0adOGL7/8kj179vDnn38C0KVLF0tAu3v3bnr06EG9evXYv3+/pey/Ae3zzz9Pnz59qFOnDrNmzeLSpUuEh4eX6pgkoBVCCCGEKAXpufk3rM+4SX1pMZvNKBQKTp06RXBwsGXJAED9+vVxc3Pj1KlTAHTu3Jn9+/djNBrZs2cPXbp0sQS5MTExhIeH06VLF6v7N27c2PLf105fjY+PL9UxVZq0XUJUNcOGDSMlJQV3d/fy7kqJqqrjEkKI2+Vir7lhvfNN6kvLqVOnCAkJuaW2nTp1IiMjgyNHjrB3717eeecd/Pz8mD17Nk2aNCEgIIDatWtbXaPR/DsuhUIBUOqZFSSgFaKcvPfee+XdhVJRVcclhBC3y8tJS6faXuy1seygU20vvJy0Zd6nnTt38s8///Dss88SFBREVFQUUVFRllnakydPkpqaSv369QFwc3OjcePGLFy4EI1GQ926dfHx8WHIkCFs3ry50HKD8iJLDoQQQgghSoGro5bZAxvTqbaXVXmn2l7MGdgYV8fSDWjz8vKIjY0lOjqaI0eO8M4779CvXz8eeOABRo0axb333kujRo0YMWIER44c4Y8//mDUqFF07tyZli1bWu7TpUsXVq1aZQlePTw8qFevHmvXrq0wAa3M0AohhBBClJIANwc+HtaMxEw9Gbn5ONtr8HLSlnowC/Dzzz/j7++PWq3G3d2dJk2a8NFHHzF69GiUyoI5zY0bNzJx4kQ6deqEUqnkvvvu4+OPP7a6T+fOnVmwYIHVWtkuXbpw7NixQutny4vCbDaby7sTFU1QUBDR0dEEBgZy+fLl8u6OEEIIIYS4AVlyIEQ5qVu3Li4uLtStW7e8u1Kiquq4hBBCVFwS0ApRTjIzM8nIyLAkp64qquq4hBBCVFyyhlYIISq448eP88UXX7Bz505yc3MJDQ3l4YcfZtSoUWg0GtasWcPXX38NgEqlwtXVlfbt23PfffcRFBRU6H7p6emsWrWKr7/+mpiYGNzd3enSpQuTJk2yykcJ8OGHH7Jz507mz59PzZo1rerWr1/Pl19+aVXm6upaqEwIIUqbzNAKIUQFtnTpUpo0acLFixd55ZVX+Oijj7j33nt59913LYHjmTNn2LdvH926daNjx474+/vz6aefUq1aNV566SWu3yoRFRVF06ZNmTdvHn379mXx4sVMmTKF8PBwy3GX1+Tl5fHGG2+wfft2li1bVqhv4eHhHDlyhPbt21u+WrduXbrfECGEsEFmaIUQooK6fPkyTz31FLNmzeK1116zlN93331MmDCBqKgoS5mLiwuTJ0+2vH7nnXdYtWoVI0eOpFWrVgwcOBCAZ555BkdHR3777TecnZ0t7UeMGMHff/9t9fxNmzZhNBp56623mDdvHrNmzUKlUlm18ff358UXXyzRcQshxO2SGVohhKigvvnmG5RKJc8++2yhOgcHB+rUqXPD60eMGEGrVq1YsWIFAImJifz0009MmjTJKpi95vrjKgGWLVvG4MGDGT16NAkJCWzfvr3QNfn5+fz+++8cPHiQvLy82xmeEEKUGAlohRCigtq+fTvt2rVDp9Pd8T3uu+8+du7cCcC+ffswGAx07979ptddvnyZrVu3Mnr0aDw8POjbty9Lly4t1O7o0aM88MADdOjQAT8/Pz788MM77qsQQtwpCWiFEKKCysjIwM3NrVj3cHV1JSsrC7PZTEZGhqXsZr788ktCQkK45557ABg9ejQbNmwgOTnZ0mbgwIEkJiaSkJBAZmYm48ePZ8qUKRw4cKBYfRZCiNslAa0QQlRQvr6+xT7cJSoqCh8fHxQKBb6+vgBER0ff8Bqz2cyyZcto2LAhP/zwA5s2bbIsJ1i9erWlXa1atfD09ATA3t6et956i9q1a1syLgghRFmRTWFCCFFB9evXj9GjRxMbG4ufn99tX280GtmwYQMPPfQQUHB8pbOzMz/++CNNmjQp8rr9+/cTHh6OWq3mpZdespR7eHiwbNkynnnmGZvXKRQKPD09SUtLu+2+CiFEcUhAK8pVamoqf/zxB+3bt0en05GTk8O+ffss9Tqdjtq1a+Pj41Po2pycHP78809OnTpFXl4eNWvWpEePHmi1pX8+dkn49NNPycnJwcHBoby7UqKq6rjKQ79+/fDx8WHChAmsXr0aOzs7S93p06eJi4ujc+fONq9NTEzk5ZdfJjo6mnHjxgEFs6iPPvqoJWVXw4YNLe1zcnL45ptvGD16NEuXLqVt27b89ttvVvc8cuQILVq04OjRozRt2rTQ/+ejR49y+PBhy/OEEKKsSEArytWZM2fo1asXp06dom7duiQkJNCrVy8CAwNxcHAgJyeHK1eu0KxZM5588kkef/xxFAoFAEuWLGH69Ok0btwYtVrNoUOH8PT0ZOfOnVSvXr2cR3ZzDzzwQHl3oVRU1XGVBxcXFzZt2kT//v0JDg5m4MCBuLm5ceLECbZu3cq3335raRsXF0e/fv0wmUzEx8dz6NAhwsLC2LRpEy1atLC0mzNnDtHR0TRp0oTevXvTqFEjEhMT+eGHH2jXrh0DBgxg3bp1zJ49u1B/mjVrRt26dVm2bBkffvghzZs3p379+oSEhBATE8P3339PixYtGDp0aJl8f4QQ4hqF+fqM2wKAoKAgoqOjCQwMLPb6NXFjv//+O23btrUEtJGRkVSvXp2dO3fStWtXoGC93/Lly3n99deZPXu2JedlWloazs7OKJUFS8FTUlJo3Lgx/fv356OPPiq3MQlR0vLz89m8ebPlpLCaNWsyaNAgatWqBcDBgwf5/fffgYKTwtzd3Wnfvj01atQo8p4nTpxgzZo1XLlyBXd3d7p27UqvXr24fPkyGzZsYOTIkZb1sdfbtWsXUVFRjBo1ii1btrB//36uXLmCk5MT9957L/fdd1+l+ZRECFF1SEBrgwS0ZedWAtprJk6cyDfffEN0dDRqte0PF3r16oWnp6fVxhUhKgtDYmLBV1ISah+fgq9byEgghBB3O1lyICqNYcOGsXDhQvbu3Uu3bt0s5ZcuXSInJ4fdu3dz4MABfvjhh3Ls5a07fPgwer0erVZr9ZFwZVdVx1Xa9JGRXJ7wDHnnzlnKHFq1JHDue2j8b39DmBBC3E0koBWVRlhYGIDVcZ8AtWvXJj8/H4VCwaxZs4rcJFPR9OvXr0p+ElBVx1WaDImJXH7GOpgFyPnzEFdmzSJw7hxULi7l1DshhKj4JKAVlUZOTg6A1U5vgLy8PLKzs9m9ezePPPIIZrOZ6dOnl0cXhbgjhsQk8s6es1mXtWcPxuRkCWiFEOIG5GAFUWns2rULgNatW1uVKxQKdDodffr0YcKECTaP5xSiIjOmFJy+pQkMQBsSguL6TVVmM8bc3HLqmRBCVA4yQysqhaysLD788EPuueceQkNDi2yXkZFR5IYxISoqta8vIevXY9+gPgCm3Fxipk0jY+s2vJ99Fvury22EEELYJr/5RYX0559/otfrycnJ4ffff2fNmjXk5uaybds2S5sFCxZQs2ZN6tevT25uLtu3b+eTTz5h1qxZZdrXzLx8cvUmHLUqHO3kR0rcPrWfHypHR7Kzs8nLy8Pd3R2f554j+89DeD05DqPRSGpqKs7Ozmi1WgwGg9VpXFqtFmdn50L3zcjIQK/XF36eWo3rddkTrly5Qnh4OD4+PtSsWbPIPwpNJhPHjx8nNTWVoKAgQkJCLHmhhRCiPMlvX1Gu7O3tqV27NhqNBij4RVu7dm2++OILAJycnAgLC2PWrFn07dsXNzc3y7VZWVk888wzREZGAtCoUSPeeOMNnn/++TLpe0ZuPuHxmSzcGc7FxCzC/JyZ0LUWoV46CWzFbVE5OgIwf/58PvnkE6Kjo9H4++M+cgRQEHAGBwfzyy+/cO+993L27FkaNGhgdQ8PDw/GjRvHG2+8Yfl5mjBhAitXriz0vHvuuYdff/2V+Ph4evbsybFjx/Dw8CA1NZWaNWuybNky2rdvb2lvMplYsGABH3/8MbGxsXh4eBAfH0+tWrVYtGiRVdYRIYQoD/JbV5SL5Mw8PJzsaNKkCWfPnrWUBwQEWL2+kVdffZVXX32VvLw8lEql5Zd4WdAbjGw9Ecfz645Zyi4kZvHziVg+G9mC7vV8USll5koUg1qN55gxN2yya9cuWrRoQU5ODlu3bmXMmDHUqVOHMddd17FjR9avX/+fWxe89efn5zNw4EA2b95MUFAQKSkpDB06lBEjRhAeHm5pN23aNBYvXswHH3zAiBEj0Ol0ZGZm8uWXX7J7924JaIUQ5U42hYkylZyVx8aj0Tz82UFe2/APMak5GIwmjKY7P9/Dzs6uTINZgPiMPF7fcLxQudkM09b/TVy6bOIRxaNQKFA6ONywjU6nw9nZGR8fHx555BHq1q3LX3/9ZdVGq9Xi7e1t9eXu7g5AYGAgr7/+OkFBQQC4u7vzwgsvcOnSJS5cuABAQkICH3zwAXPnzmXcuHHodDqg4NOT8ePHS0YRIUSFIDO0osxk5ubz2Z4LfLa34Bfl+YRMvjpYsFxg4bBm9G7kj7KSzGrGZ+SRk2+0WZeSnU9ylp4AtxsHI0KUpEOHDnH+/HleeumlYt3nwoULaDQa/P39AVi/fj1ms5khQ4bYbC+bMIUQFYHM0Ioyk5ip53/7Ltism7HpRKWa1VTeZCOM7JMRZaF3794EBgbi4eFBq1atmDhxIiNGjLBqs2fPHry8vKy+XnvtNZv3i4mJYfr06Tz77LOWTWYnT54kODgYLy+vUh+PEELcKfnTWpSZi4lZFLWyIClLT2pOPv6VZFbT20mLs52ajDxD4TpnOzx0WhtXWTt16hRms7nK7RKvquOqiObMmUP9+vXR6/X8/fffvPrqq9SpU4fHH3/c0qZJkyZ8+OGHVtcFBAQUuldKSgr3338/TZo04c033yz1vgshREmSgFaUGQet6ob16kqy3ADA18We9wc34amvDmO+LkhXKxXMH9wEPxf7m97DVpqlqqCqjqssqNVqMjMzC5VfK/vvx/uNGjWiVatWAHTq1ImoqCimT59uFdC6ublZZSywJTU1lZ49e+Lu7s7333+P9rqDHRo0aMCiRYtITEyUWVohRIUlSw5EmQl2d8CpiHRW9fydb2lWs6JQq5R0rO3FlskdGdIqmObV3HikbXW2TOlI6xoeMjsp7khYWBjp6enExsZalZ8+fRqAOnXq3PB6BwcH4uPjMZtvfZNlWloavXr1ws7Ojs2bN+N4NYXYNQMGDEChULBmzRqb1+fn59/ys4QQorTIDK0oMz7O9iwa0Zyxy//EcN3aAxcHNR8MaYqnk1059u72OWrV1PVz4c1+DcnJN+KgUaJV33gWWogb6dWrF25ubkydOpUvvvgCR0dHoqOjefPNN+ncuXOhpQKpqakkJSWh1+s5evQon376KX379rX6gyovL4+YmBir65RKJX5+fmRlZdG7d2/S0tLYsGED6enppKenA+Dl5WXJkDB16lRefPFFNBoNI0eORKfTkZGRwYoVK4iLi5MlCkKIcicBrSgzGrWStiEe/DK1E5uPXeFMXAZtQz3pEuZNYCVZO2uLVq1Eq779Dzvmz59Peno6Li4uTJ06tRR6Vj6q6rjKgqOjIxs2bOCpp57CxcUFLy8v4uPj6dSpE8uXLy/UvmfPnpb/9vDwoH///rz77rtWbfbv309gYKBVWWBgIJcvX+bUqVMcOHAAgHr16lm1OXDgAO3atQNg9uzZBAQEMHfuXCZPnoy7uzsJCQnUq1ePhQsXlsTQhRCiWBTm2/ls6i4RFBREdHS05U1flI67feNQVf13VlXHVVpMeXmY8/NROjigUBXM8JvNZs6ePUtCQgI1atSw5Im9xmg0kp2dbXmtVqtxsJGzNicnB4Oh8MZFhUKBk5NToftcz9HREZXK+hMHk8nEyZMnSUtLIygoiGrVqt3VP8NCiIpDZmhFuZFfhOJuZkxPR3/xIskrviQ/Lg5dh/a4PvQQGj8/FAoFYWFhhIWF2bxWpVLd0uY7W0HundznGqVSScOGDW+5vRBClBUJaIUQoowZMzNJWbeOhPfet5TlHD5M8tJl1Ph6NXa1apVj74QQovKRLAdCCFHGjIlJJLw/r1C5KSOD2DfexJCWVg69EkKIyqtEZmiTkpL46quv+OOPP0hMTKR79+68+OKLAJw4cYLz589z7733FkoHI4QQd6Psw4ehiO0L2X/8gSk1DVxdy7hXQghReRU7oF23bh2PP/44mZmZlk0+1++ojY6Opn///qxYsYKRI0cW93FC3BXS09NJSkoiJSUFT09PPDw8qvSBBcaMDAxJSeQcO4ZCqcShcWNUXl6odLry7lqpMBtunLvVbDaVUU+EEKJqKFZA+9tvvzF8+HBcXFyYN28eHTp0oHXr1lZtunfvjqurK999950EtELcgoSEBFauXElGRoalzN3dnZEjR+Lh4VGOPSsdhpQUklesIOnTz/4tVCrxef553AYNROXiUn6dKyWOLVsWWWffsAEqmZ0VQojbUqw1tO+88w5KpZJffvmFKVOm0NLGm7RKpaJ58+YcP368OI8S4q6QmZnJmjVrrIJZgJSUFNavX19kiqXKLPfkSetgFsBkIn7uXPQXL5ZPp0qZ2tsb90ceKVSu0GrxmzEDtbt7OfRKCCEqr2IFtNcSbzdv3vyG7fz8/Lhy5UpxHiXEXSEzM5Pk5GSbdTExMWRlZZVxj0qXMSODpM8+L7I+adlyTLl5ZdijsqFyccHr6acI+mQxDs2aogkOxnXAAEI2fI9d3brl3T0hhKh0irXkIDs7G29v75u2S0lJKc5jhKiSmjdvTnBwsNXPUF7ejYO3/Pwbr72sCGyNqyhmvR5DQnyR9flXrmDW54F95ToW+VaoPTxw7toVh+bNMefno3JyRlkFxymEEGWhWAFtYGAgJ06cuGEbs9nM8ePHCQkJKc6jhKhyNm3aVKjMycmpyPZKpfKmifIrAlvjKopSp8OxRQv0FyNs1uvatkFZxbOjqGW9rBBCFFuxlhzcd999nDlzhjVr1hTZ5osvviAqKoo+ffoU51FC3BV0Oh2NGjWyWdeqVasbBryVkdLeHo/HHkOh0RSqUzg64jZwIAq1nP8ihBDixooV0L700ku4uroyatQopk2bxsGDBwHIysrir7/+Yvr06UycOBFvb2+effbZEumwEFWZvb09PXr0oF27dqivBnJarZYuXbrQoUMHNDYCv8pOExxM9VVfYXfdMa/2jRpRY9VXaK5LASiEEEIURWE2F5Hd+xb99ttvDBw4kNjYWBQKhVWd2WzGx8eHjRs30qZNm2J1tCwFBQURHR1NYGAgly9fLu/uiLuQwWAgMzOT/Px8NBoNzs7OqFSq8u5WqTIkJ2NMS0OhUKJ0dZGd/kIIIW5ZsQNagIyMDJYsWcIvv/xCREQEJpOJoKAgevTowZNPPolrJVsjJgGtKAt9+/YlISEBb2/v21p3WtFV1XEJIYSouEokoK1qJKAVZaGq/jurquMSQghRccluC1Hl7dmzB39/f+rUqQPAwYMHbaaS69GjB2q1mt9++43U1FQ6deqE7rqjVy9evEhERARdu3YFICoqihMnTnDfffcV+ey8vDyOHz9OfHw8zZs3x9fXt4RHJ4QQQohiBbR79+69rfadOnUqzuOEuCNjx45l+PDhvPHGGwA8//zzHDt2rFCe1GPHjuHs7Mxzzz3Hb7/9xptvvslrr71mqd+wYQPz588nKioKgG3btvHkk09iMBhsPnfx4sVMmTLFkjt248aN9O3btzSGKIQQQtzVihXQdunSpdBGsBsxGo3FeZwQJWbo0KH873//K7Le39+f9957j6eeegovL687ekbbtm3Ztm0btWrVIjg4+E67KkSxxMTEEBMTQ8OGDbG3t7eqi4yMJD6+4GALlUpFQEAAPj4+hd7Xjx49avMPt4CAAAICAqzKUlJS2LVrFxkZGfj6+tKmTRvcZYOfEKKUFSugHTVqlM2A1mQyERUVxZEjR0hPT6dfv364ubkV51FClKlBgwaxfft2Zs+ezfvvv39H97h2JHRGRkZJdk2I2zJmzBi2bdvGihUrGDVqlFXd/Pnz+fjjj3F3d8dgMJCWlkbLli1Zvnw5DRo0sLTr2bMnaWlpaLVaq+tfe+01pk2bBkBqaioTJ07km2++ITg4GH9/fy5fvkx0dDQTJkzggw8+KP3BCiHuWsUKaJcvX37D+pSUFJ544gmOHz/Ob7/9VpxHCVGi0tLSOHv2rOW1i4sLfn5+ltdqtZq33nqL4cOHM2XKFIKCgsqjm0IUS2RkJL/88gvdu3dn6dKlhQJagCZNmnDkyBEAIiIi6NGjB88//zxbtmyxavfWW2/xwgsv2HyOyWSiX79+xMTEsHfvXlq3bm2Z7Dhy5AgfffRRCY9MCCGsFetghZtxd3fnyy+/JC0tjZdffrk0HyXEbVm3bh1hYWGWL1v/Pvv370/jxo2ZNWtWOfRQiOJbsWIFDRs2ZN68eezZs4fz58/fsH2NGjUYPHgw+/btu63nHDx4kL1797J8+XLatGlj9cld8+bNWbZs2R31XwghblWpBrQAjo6OtG7dWvJRigpl7NixmEwmy9fSpUsLtVEoFMyePZtly5Zx5syZcuilEHfOZDKxbNkyRo8eTZMmTWjSpMlNP1UDOHv2LIE2TmjLzc0lPT3d6uvautp169bh7+9Pu3btbN7zdvZaCCHEnSiTtF2ZmZk20yQJUV4UCsUt/ZLt1q0bXbt25fXXXy/yl7UQFdHevXu5dOkSw4cPB2D06NF88MEHzJw50+rUuStXrvDWW29hMBg4evQoW7duZdWqVYXuN336dKZPn25V9vPPP9OrVy/Onz9PWFgYSuW/cyT//POPZSkDwMCBA3FycirpYQohBFAGAe0PP/zA3r17qV+/fmk/SggAMnLzycwz4Otij/IWgtYLCZkM+OQAG8a3p4aXrlD9O++8Q5s2bdBoNCXazzlz5nDu3DlcXFxK9L7lberUqaSnp1e5cVU2S5cupVevXvj7+wMwfPhwXnjhBXbs2EHPnj0t7XJzczl9+jS5ubn89ttvdOzY0WZu5ddee43x48dblXl4eAAFa86vpae75tixYyxZsoS0tDT+/vtvunTpIgGtEKLUFCugfeyxx4qsy8zM5OzZs/zzzz+YzWaee+654jxKiJvSG4ycT8hi7s+nOXA+icOv98DJ7ub/xB21auzVqiLrW7VqxcCBA/n6668LfRRrMpnYsGGDVZlWq6V3797ExsZy8OBBcnJygIJ1hiaTiVq1atGwYUNGjBhx+4OsBKZOnVreXbjrpaWl8e233+Ls7EyTJk0s5UqlkmXLllkFtCEhIXz11VcAJCQk0Lx5c1555RUWLFhgdU8XFxdLcPxfLVq04N133yU3N9eSGmzkyJGMHDmS/fv307FjxxIeoRBCWCvVLAcA1apVY8aMGTZ31wpRks7GZdJ/8a/kGwtOc752qnPNmjWtcslWr17dKqOBr4sdMx6sb1Xv4+Njde8333yT48ePW13n6upqc0OZh4cHvXv35syZM5a6unXr8v333/P999/z2GOP0bBhwxIatRCFrV27FpVKxaJFi6yW1hw7doy5c+eSkpJiMzest7c37777LmPGjGHy5MmEhITc0vOGDh3Ka6+9xrp163jkkUdKbBxCCHGrFOZrv/XvwJ49e4qs02q1+Pv7U6NGjTu9fbmRs+grn7RsPeNWHuL3i/+u1V73VDta1fC4pevTc/PRG0x4OdlZlWflGdDdwiyvEBVJ27ZtqVOnDl9++aVVeW5uLr6+vrz77ruMHz+eKVOmsHfvXqu1rkajkfr169OxY0e++OILAHx8fBg0aFChTxV8fX2pVasWUHAC36JFi3jttdcYPnw4gYGBJCQk8Pnnn/PGG28QERFB9erVS3nkQoi7VbF+U3fu3Lmk+iFEsWTmGayCWYBp3/7NOwMaUcfXGbVKgYt90Wtgr9XpDSZUyoIZLYWCUg1mMzIyMJvNKBQKnJ2dS+05Za2qjquyOH/+POHh4bz55puF6uzt7Rk5ciQbN25k/Pjx6HS6QofeqFQqZsyYwdSpUy1/2Ht4ePDNN9/wzTffWLUdOXKkZWnCe++9R+PGjfn8888tR0arVCpat27NmjVrqFatWqmMVwghoJgztFWVzNBWPjGpOXR9fzd5BpPN+mn31eXpLjXLuFc3VlX/nVXVcVV0xuxsVI6O5d0NoOCPmszMTNzd3QsdtyuEEKWh1PPQlpTw8HCeeuopmjZtilqttrkGsUuXLpZ0TNd/nT59uhx6LMqSh07LoOZFn+bVo75vGfam6svJybFsdhPly5SVRc4//xA95VmSlq/AePWoZbPJ9h93ZcHZ2Rl/f38JZoUQZea2Pk8NDQ294wcpFIqbnlJzIydOnODHH3+kTZs2lmT4trRv357333/fqqwyruMVt8deo2J8t1ocuJDExcQsq7rXH6iHr4tdEVeK25Genk5ERAR//vknZrOZZs2aUatWLVxdXcu7a3cls8lE1sHfufzMM2A2k7V3L/GzZwPg/eILeAwbhtLBoZx7KYQQpe+2AtqIiIhS6sbNPfjgg/Tr1w+ARx99lEOHDtls5+bmRtu2bcuya6KCCHRz4Osn2vD35TS2HI/F29mOgc0D8XdzwPkG62fFrUlPT2fdunVWywiio6Px8vLikUcekbyz5cAQH8+VGTPAxsqxhA8W4NKzJ9qgoj+5EEKIquK2AtqiZkXLwvUn0AhRFD9XB/xcHejZwO/mjcVtiYyMtLkmNjExkVOnTtG6dWs54rSMGVNTMSYm2q7Mz0cfFSUBrRDirlDlosQ9e/ag0+mwt7enc+fO7N27t7y7JESll5eXx+HDh4usP3LkCNnZ2WXYo1tnNpnIj4khY89eklevJvvIEQwJCeXdrZKhLPpAEABFCZ9uJ4QQFVWVSrDZuXNnRo0aRe3atYmJieH999/n3nvvZc+ePbRr167I6+bPn8/8+fMtr69cuVIW3RVClDKz2UzuqdNEPvYYprQ0S7m2Vi2CP/sU7X9OfqtsVO5uaKpVIz8yslCdUueIxj+gHHolhBBlr0oFtLNmzbJ6/cADD9CgQQPefPNNfvrppyKvS09PJzo6urS7J0SlZWdnR/PmzYtcR9+0aVMcK0jKqOsZYmOJeuIJq2AWQB8eTuybbxH43lxUNnLlmk0mjElJmE0mVK6uKCvobn2NtzeB783l0qjRmPPy/q1QKvGfPQe1j3f5dU4IIcpQsQNas9nMqlWr2LhxI+fOnbMkVf+v4mY5uBM6nY4+ffrw7bff3rCdi4sLgdfN1Fy5cqVc1wsLURFVr16dgIAAYmJirMo9PT2pX79+hVw/q4+OxpicbLMua88ejMkphQLa/Lg40n/6iZTVX2PKycG5a1c8Hx+LJjgYRQVcy2/foAGhmzaSunETOX/9hV1oKG5Dh6IJCkQpSw6EEHeJYgW0er2ePn36sHPnTptBLBQEshX97IapU6cydepUy+trieGFEP9ycXFhyJAhnD9/nkOHDmE2m2natClhYWEVNm2XMSmp6EqzGVNurlVRfnw8lydNJvfYMUtZ6rp1pG/ZQsi369BWwBSACrUabfXqeE8YDyYTqFQVMvAWQojSVKx3vXnz5rFjxw4eeOABzp07xyOPPIJCoSAvL49Tp04xc+ZMdDodL7zwQrnMeGZlZbF582ZatWpV5s8W4mY2btzIgQMH2LhxY3l35Za5uLjQrFkzRowYwciRI2nVqlWhYLYijUsbElJkndLZGZWzk1VZ3pkzVsHsNabMTBI+/QxTBT5MQqFSodBoJJgVQtyVijVDu3btWjw8PFi9ejU6nc6SWkuj0RAWFsb06dPp2rUrXbt2JSwsjMcee+yOn5WdnW1ZB3vp0iXS09MtSwk6d+7M6dOnee+99+jfvz81atQgJiaGefPmERsby7p164ozTCFKRYsWLcq7C3fsRutlK9K41N7e6Dp2IGvf/kJ1XhPGo/bxsbw2m82kbdxU5L0yf/kF45TJFfqgggMHDrB161aGDRtG3bp1rep+/fVXtm3bBhSkQXR1daVdu3a0bNkSlco6W8KSJUuIjIzkoYceolmzZlZ13333HceOHaNLly507dq1dAckhBC3qFgBbXh4OJ06dUKn0wH/5oo1Go2WN8iOHTvSvn17Fi9eXKyANj4+nocfftiq7NrrXbt2ERQUhF6v55VXXiEpKQmdTsc999zDp59+SuvWre/4uUKIykvt7o7/22+T9NnnpH77Lea8PFQeHng98wwu99+HQv3vW6BCobhhsKqws4MKsE7YbDBgiI/HmJmJ0t4elYcHKqeCmebp06ezc+dO4uPj+eSTT6yuO3DgAHPmzGHYsGGYTCaSkpJ4/fXXsbe3Z86cOVbvz8uXL+fAgQOcOXOGNWvWWMrz8/MZP348CQkJKBQKCWiFEBVGsQJalUpl9XHjtcA2ISEBP79/E9sHBgbyww8/FOdR1KhR46ZrcX/++ediPUMIUfVofHzwefEFPB4bgzkvD6WDA2pfX5sfzbsNGkhqEZ/ouA1+GLWHR2l394YMKSmkbdxI4qLFmDIyQKHA+/nn8Rr7GBEREezcuZNXXnmFhQsXMn/+fBz+E6C7uLiwbNkyy+u8vDzeeecdxo4dS3BwMD169LDU9ezZkw0bNpCSkoK7uzsAW7duxcHBgdq1a5fNgIUQ4hYVa7FVYGCg1clBtWrVAuDgwYNW7f7++2+cnKzXqglxt9u8eTPr1q1j8+bN5d2VElURx6W0s0MbGIhdaCgaf/8i15lqqlXDbdiwQuXa0FDchwwt14MKzEYj6T9tIX72nIJgFsBsxr5uGAArVqygcePGvPbaaygUCr7//vub3tPOzo6ZM2fSuHFjPv/8c6u6OnXq0KJFC9auXWspW7ZsGY8++qic3CiEqHCK9a7Utm1bjh8/Tt7V/Ie9e/cGYMqUKfz888/8888/TJw4kVOnTtGmTZvi91aIKuSpp55i8ODBPPXUU+XdlRJVmceldnfHe9JEqn+9GpcHH8Spa1cCFnxAtWVL0fiXz3HK5qsbag3xCSQuXGgp15vNmHx90bVrh8lkYtmyZYwaNQp7e3uGDBliNRN7IwqFgn79+rF58+ZCn4I9+uijLF++HCg44njz5s2MGjWqZAYmhBAlqFhLDgYOHMiWLVvYtm0bDz74ILVq1WLKlCl88MEH9OnTByjYaKHT6Zg7d26JdFgIUfkZkpLIvxxN1sGDqNxc0bVti8rHB1UF2HCldndH7e6OQ6NGmE0mlFptmffBmJVFfkwMaeu/Iz8mGqcuXXFo1hSloyPGlBQAHrx4gSvh5zhw+DAZGRlcvnyZ4cOHAzB69Gjat29PREQENW4h1Zi/vz+5ubnk5ORYbfgbPHgwkydP5vTp02zbto177rmHkBtkjhBCiPJSrIC2T58+hY6JnTdvHq1atbKsvapTpw6TJk2SNVdCCKAg12vMtGlk/3bd0iSlkoDZ7+J8770oK8iJYwq1mvLYAmbKzibj55+58uprlrKMbb+g9vHG/+13iJ46FVNGBh8EBqJ/8UUaNmzIE088Qbt27dDr9URGRhIQEEBgYCArVqxgxowZN31mYmIiGo2m0JpbV1dXBgwYwIoVK9i6dSuTJ08u8fEKIURJKJWjb4cOHcrQoUNL49ZCiErMbDSSun69dTALYDIRM+0lQn/8EbvQu3sG0JCYyJXXpxcuj08gedVXuD70ECkrV9KyUyeqP/00qamprF+/ntzcXKpXr251zfLly3n99ddvuub1p59+omfPnjZPe3v00UcZMGAAJpOJgQMHFm9wQghRSoq1hvb555/nmI0k5EIIYYshMZGUFV/arjSbSd+6tWw7VAFlHz5ccOKXDVl79+HUtQsAbgMKgsu1a9eiVqtJTU0lLy/P8hUeHk5ERAS7d+8u8llms5kvvviCgwcPFplWsWvXrvTr14/p06fL5l4hRIVVrBna+fPn88EHH1CvXj1GjBjB8OHDC80QCCGEhcmEMS2tyGpDXGwZdqZiMmVl3aDShMbPj5AffrDMZC9dupT+/fsXOrGtZs2adOjQgWXLltGtWzcAMjMzmTFjBiaTicTERLZt20ZkZCRvvvkm/fv3t/lIlUrFypUrS2ZwQghRSoo1Q/vhhx/SqlUrTp48yauvvkpoaCidOnXis88+I+XqxgUhhLhG4eCAw39OnrqeU6dOZdibismxZcsi6+zq1Ebl6op97VooVCpSU1OpX78+EyZMsNn+pZdewtnZGZPJRMOGDRkyZAiRkZHExMTg6OjInDlzSEhIsKT6uub++++/4YE0/fv3p2nTpnc8RiGEKGkK881OK7gFFy5c4KuvvmLVqlWcO3cOhUKBRqPhvvvuY8SIEfTt2xc7O7uS6G+ZCAoKIjo6ulCeXSFKUlX9d3azceUcO0bEsOGFPlbXVK9O9RUr0Pj5llVXKyRDSgqxb7xJxpYt1hUqFdVXrMCxZcU5WlgIISqKEsmOHRoayvTp0zlz5gx//vknkyZNwsPDg02bNjF06FB8fX2LdeytEKLq0NapQ7UvV2AXVnAgABoNLg/1o9rSpXd9MAsFacP8Xn0Fv1mz0FSrhlKnQ9epIzXWfYN9wwbl3T0hhKiQSmSG1haTycTOnTtZunQpa9asQaFQYDQaS+NRJa6qzpyJO5dnMJKcpQczuDlqcNAWP0FI3bp1iYmJISAggNOnT5dALyuGWx2XITkZU2YmCpUKlYcHygqQg7aiMSQmYjYYUOp0qJydy7s7QghRYZVK2i6AvXv38s0337BVdi2LCiotJ5/EzDwuJWXj6qAhwNUeXxd7lEoF+QYTV9JzORCeSHhCJvX8XNBpVby39QwtqrszoVstqnvqLPfSG40kpOuJTM4mN99IqLcOT50WJ/uij0qtSkHs9W51XGoPD/DwKOXeFM2QmIg+KorMnbtQOulw7t4dta8vKmdnjGlp5MfHk7l7D2aDAecunVH7+aF2dy/RPhgzMjDExZOxYzumzCycunZBW60aai8vAJROThgSE8n55x8wmdBWr47ay0uCfyGE+I8SnaE9evQoq1atYs2aNcTExGA2m3F2dqZ///6MGDGCHj16lNSjSpXM0FZ98Rm5vPPjKTYcjbGUeeq0LHu0FXX9nPkrKpVRS/8gz/DvOk9fFzveG9SEKWuPArBxQnuCPRzJzTfya3giE7/+i2x9wacQSgU83aUmYzuE4KGzw2Qyo1SWR5p+YUt+fAJXpk0j67ffrMq9p0zBtX9/kr9cQfKSpVZ1rv374/P8c6g9PUukD8b0dFK++YaE9+dZlTu0bUvg3DkoHR3J3LGDK69Px6zXF1RqNPg+/zyuD/VD9Z+sBkIIcTcrdkB78eJFVq9ezerVqzl9+jRmsxmNRkOvXr0YMWIE/fr1w97evqT6WyYkoK3aDEYTi3efZ/4vZwvVOdmp+WFiB/ot3E96rqFQfcvq7rSr6cnHO8OZ1K0Wk7rX5lJyNj0/2IvRZP2j5KnT8uXY1lxKyubHv2Pw0NkxpFUwwR6OuDoUPXMrSpfZbCZ55Uri33m3UJ3K3Z2A+fOIGmN7zX/gwo9xuffeEulH7qlTXOw/wGadz2uv4di8GREDbB9kUG3ll+hatSqRfgghRFVQrCUH7dq1448//uBaTHzPPfcwYsQIhgwZgkc5fpQoxI3EZ+Txxf4LNusy8wwcjUrB1VFjM6A9dCmFcZ1CAdhyPJbHO4bw3ZHLhYJZjUrBvMFNeGb1X1xM/Dev6MqDl5jaow6P3lMDFwlqy4XxBoc7OHfvTsqXRedcTf5iCY6tWqG+g9lRY04uxqRE8mOuoFAV7Md1bNuW7IMHC7XVR0SQ+/ffRd4r8dNPsa9XD5UcdCCEEEAxA9rff/+dunXrMmLECEaMGEGNGjVKqFtClJ58o4n0nMLB6jUXE7Lw0tkRlZxjs95wNXh1siv48TkXl1moTc/6fvz0T6xVMHvN/F/O0quBH29Of4WUlBTc3d1577337mQoFdILL7xQocdlNpkwZmTYrFPqdBjPny/yWmNqKuTn3/YzjenppG3eTPzsOZblA0qdIz4vvojaw4P0n36yaq9ydCDvxPEi72eIjsGcmwtVMKA1mUwcPnyYuLg4vLy8aNasWaG0jyaTiejoaJRKJYGBgUXeKzIykhMnTuDo6Ei7du3QarVFto2NjbWcfNmgQQOCgoJKZkBCiDJRrID28OHDNLtBknQhKiI7tQp/V3uupOXarG8S7MbXf0bZrHN31KC/uq52bMcQXBy0tAn1ZNvJOKt2PRv48tL6f4rsw4//XOHrr7+2LG2piIHfnaro41I6OaFr25aMbdsK1eWePoWuQwdy/vrL5rW6jh1Qurjc9jNzT58h7o03rcpMWdnEzpxF0CeLyQsPx+3hQah9fFAoVSgcHECjJeevo6h9fFC5upIfE2M5Rcy+fn2UOp2tR1VaZrOZ//3vf8yePZv4+HiqVatGXFwcZrOZd999lyeffBKAbt26cfjwYdLT02nZsiV//vlnoXtFRUXxzDPP8NNPP1GnTh2SkpIAePHFF3n22WetDpG4ePEizz77LJs3b6ZatWoolUouXrxIt27d+Prrr/G6ukFPCFGxFSsPbXGC2SVLlkhuWlEufF3seK5nmM26AFd76vg606m27V9i47vWYs2fkdxbz4fWIQXLanrW98XZzvpvQ5VSQa6h6DR1Gbm3P8snSoZKp8Nr0kQUNmbr8i9H4/pAH1Q2shkodY54jByJ8gazfLYYMzJI/OQT25VmM3nnz+M9ZTL6y9GgUGI2GUGhwLVfX4KXLsHr6adx7tUT/7fexG/GDJSurng+Oa7KZTpYtGgR48ePZ/LkycTFxXHy5EkSEhJYs2YNf1+3/KJjx46sXLmSRx55xOZ9MjIy6NatGwkJCZw4cYITJ05w+fJlZs+ezUsvvWT1R1ZSUhKdOnUiJSWFo0ePcuHCBcLDw4mJiaFOnTpERdn+w1YIUfGUWh7amxkzZgxffvllhcxNK5vCqr6ULD3f/xXNB7+cJSOvYPlByxruvD+oCTW8dCRk5PH9X9F8uuc8yVl6Qr10TOxWC4UCAtwcCfXW4eVU8DGoyWTmdGwGz649ypm4go+yJ3evzV+RKew9l2jz+WvHtWVgpyZV8t9ZZfj5Mefnk3f+AnFzZpP920EUWi2uffvi+fRTaAMDyYuIIOH9eWTs3AlmM7r27fGZ9iJ2oaEoVKrbelZ+QgKXhg0n38b3QqnTEbTwY/RRl8k7c5rUb9djzssDhQKnLl1wHzaU6KnPYcosWNZiX78+Ae/NRRMYiLKSbba9EYPBQGBgICNHjmTevHmF6k0mE0ql9fzLlClT+PXXXwvN0H7++edMmDCBiIiIQssRXnnlFT799FPi4uLQaDS8//77zJw5k8jISJv7Pmw9VwhRMZVaHlohKjJ3nZZH2lWnVwNf0nIM2GmUeDhqcdcVzL55O9vxeIcQ+jbxx2AyY6dW4e1s+/hmpVJB/QAXVj/RhpRsPflGMx46Dfc39OP3Rb9apf4CaFXdnVDvqrf2sTJRaDTY1w0j6MMPC4JFhQKVuwdK+4L/x3Y1auA/ZzY+qalgBpWLM6o7WGoAoHR0xC4szBLQqn19cR8xHLuQUBQ6HQqtFkN6OimrVv97kdlM5q5dGBIT8XrmGeJnzwYg9+RJEj/7HP9ZM4sz/Apn7969xMfHM3ToUJv1txNUfvvtt3To0MHm2tqHH36Yd999l507d9KrVy/Wrl1Lr169itzELMGsEJWH/LSKu5ZGpSTQ3ZH6AS7U9HayBLPXKJUK/FwdCHJ3LDKYvZ6nkx21fJyp5++Cr4sDNb2d+GFiB+5v6IeTnRp/V3tevr8uC0c0v6X7idKncnFBExCAxt/fEsxa6nQ6tIGBaIMC7ziYvXYfr/HjQaHArk4d/N94g4ytW0n83/8wJiViTE3FsVFDqi1fhmPbtlbX5v7zD9qgQND8mxEj/aefMFxdE1pVnDlzBoBGjRqVyL2aNGlis65x48bAv4d/nDlzpkSeKYQofzJDK0Qp0aiV1PF15v2Hm5CRa8Beo8TVQWPZkLJo0SJycnJwqGJrIUVhdiE1CFq8CIVGQ/TU53Bs0QLnXr2Ie/udgswJFGxW8352CprAQNLWr7dcmx8bi9rNDUNCQkGBwfDvQQtVxLWfCZPJdJOWN6dUKou8z7Xya7nRFQoF5bTqTghRwiSgFaKU6ezU6OwK/6j169evHHojyoPS0RGnzp1JWbkSc04O7sOGEvX0eLhuD4EpM5O4N98i8KOPyNyxwxLoqj09rdKMqb29UTo6lvUQStW1GdVDhw7RqVOnYt2rcePGNjMfAJby0NBQy3OLaiuEqFwkoBVVnslkYvLkyYwaNYpWNk5XOnXqFIsXL7a89vb25p577qF79+5W6X1OnjzJJ598Qu/evbn//vvJyzdip1FZ1V3j5eVF69atue+++6zusWXLFn76T85Rd3d33njjjRIbrygbxsxMDIlJ5P59DLPZjEOTJqi9vIo+7MBkIuuPP3Hq2oX0n3/GsXVrXPs+iNLBAWNqKqnfrif3+HFS163DpU9vUlatRh0QgCk7uyDn7FXez01F7etbNoMsI23btqV69eqsWLHCZkCbm5t7yydOPvzww4waNYozZ84QFmadzWTVqlV4e3vTpUsXAIYOHcrUqVOJiooiODjYqq3ZbEav1xfKgSuEqJhkDa2o8sxmMwsXLrSs0/uvqKgoFi5ciF6vR6PRcOzYMXr16sUTTzxh1W7hwoV88sknzJgxAyj4uDIjpyD9VmRkJAsXLsRgMKDRaDhx4gT9+vUrtMnljz/+4Ntvv8VkMll9icrFkJZGyurVXLj/fmJenMaVaS9x4f7eJC9fjuHqzOp/KdRq7EJCUPsH4NS1Gw6NGxM/Zy7RU54l8bPPcX3wQbwmPoM+IgK1rx+awEAC33uPpM//B4Dax5uAObNx6trV6o+kqkChUDB37lyWLVvGs88+y6VLlwBIS0vjf//7H2PHjrW0vXjxIqdPnyY5OZmcnBxOnz7N6dOnLT9HDz/8MC1btqRv377s2LEDs9lMWloas2bN4pNPPmHx4sVorq5JHj16NLVr1+a+++7jxx9/xGg0YjabOXToEA8++CAnT54s+2+GEOLOmMvJo48+alYqleX1+BsKDAw0A+bAwMDy7oooAQaDwQyYV65cabN+69atZsAcExNjKfvggw/MCoXCHBkZaTabzebs7Gyzm5ub+d133zUD5n/++cdsNpvNUclZZrPZbN6yZYsZMMfFxVnusXjxYjNgvnDhgqVs5syZ5o4dO5b4GCuScePGmQcNGmQeN25ceXel1GQdOmQ+GVbX5lfmwYNFXpcbHm5OXrvWfPnFaTavjf/4Y3PcRx+Zc8PDzfq4OLMxN9ecd/myOffCBbM+NtZsMpnKcJRl78cffzR37tzZDJgdHR3NgLl+/frmDRs2WNo0b97cDBT6ysnJsbRJSUkxP/PMM2ZnZ2ezo6OjWaVSmd3c3MybNm0q9MykpCTzxIkTze7u7ma1Wm3WaDRmR0dH87hx48xpaWllMm4hRPHJkgMhbGjTpg1ms5kLFy4QHBzMhg0bMJvNTJkyhc2bN7Ns2TLmzZtHkHvRaxmv7Z6+cuUKISEhlnKz2UxMTAwKhQJ/f/9SH0tZ++yzz8q7C6XKlJND0pKlRdYn/e8L7Bs2RGXjJC91QAD2eXpiZ8y0eW3ysuXUWLsGu5o1LWXaGxztWhWY9HrMej1KnY7evXvTu3dv4uLiSEhIwMvLCz8/P6v2hw8fvuk93dzc+Pjjj5k9ezaXLl3i119/5emnnyYrq/BR1B4eHnz00UfMnTuXiIgIoGCN7Y2OyRVCVDzlFtCaZWepqMB++eUXVCqVZQ3e0qVLGTJkCPb29owePZpXX32V2bNnWz66/C+9Xs+yZctwcnKiQYMGVnX79++35Mhs0KAB77zzDn379i3dAYkSY8rLwxAXC4Da3x+3gQPQhoSAQgEGI0onHaaMDJsBrcrBAWNyEhTx/mfKysKUl1eq/a8oTHo9+Zcvk7x8BTlHj+LQojle4yeg9vLE19cX3xJYJ6zT6ahfvz7169fHZDKxaNEiWrRoQe3atQu1tbe3p27dusV+phCifJR4QJuSkgIU/IV8o3VeL7/8MmPGjCnpxwtxxyZMmIC9vT2XLl3iwIEDTJs2DT8/PyIiItixYwezZs0CYPDgwUycOJEff/yRhx56yOoebdq0QaVSERcXh6urKz/88AOurq6W+t69ezNgwABq1apFdHQ006dPZ8CAAZw4caLQBhZRMal0OtzHjEHj44NCa4chKRGUSvTh4aSuWYO6Rg28nngCU3Y2CrUalCpMWQWHN6g9PFAXkcT/mqp2pG1Rco8f59LoRyG/YB163tmzpH69Bt/pr+PWv3+Jfx+efPJJnnzyyRK9pxCi4iiRTWGbNm2iZ8+eODk54eXlhZeXF87OzvTs2ZONGzfavCYsLIzOnTuXxOOFKBG1a9emfv36jB49mmPHjjH76ulMK1aswNvbG0dHR44dO0ZERATt2rVj6dLCHzvPmTOHjz/+mNdee43ExETOnTtnVd+qVSsaNWqEg4MDtWrVYvny5Xh5ebFy5coyGaMoPkNSEll79hL52FguDR1K7Kuvob94EVRq/KZPx7lzZ6688ioX+w/gyoyZ6C9ewJCcQuKiRQUBnEqFfRGJ/+0bNkTl7l62AyoHhoQErrzyqiWYvV7cO+9iSLR9ZLQQQhSlWDO0ZrOZsWPHsmLFCssSAjc3NwBSU1PZvn07O3bs4JFHHmHZsmVVbmeuqFqmTJlSaE2ryWRi+fLlpKWl0aFDB6tyvV5PbGys1Rq/Ll264OPjw/3334+DgwOTJ0+mT58+BAQE2HymVqslKCiIuLi40hlUOWjZsqXl+3Lo0KHy7k6JMiQmcXnSZHL//ttSpvb2Ruvnj8LRgbyLEWj8/fAc+xgJHywg+7ffyP7jDwLnz8N10CBiX32NyMfGUu3LFVwaPBhTVva/9/HxIeD991DfDQFtWhr6q+tVC1cayAsPR/ufNFpCCHEjxZqh/fDDD1m+fDn+/v588sknpKamkpycTHJyMmlpaXz66af4+/uzcuVKPvzww5LqsxClasvxK4THZwKwe/duIiIiOH78OJmZmZavjIwMvL29bziz+tRTT+Hr68u7775rKftviq5z585x/Phxm/lxK6vY2Fiio6OJjY0t766UuPzYK1bBrLZWLbynPkvsG29w+amniZ89m+jJU0hb/x2B77+Pwt4ejEYSP/kUY2IiboMGYUxKIv/SJUI2bybg/ffxevppghYvpsbatdjVqFF+g6tIZPJDCHGbijVD+/nnn+Po6Mi+ffusdnEDODs7M27cOHr06EGjRo34/PPPmTJlSnEeJ8RNZesNJGbkkZ5rwNlOTXWvfzfmLFmyhL1791q1nzhxYqF7fLj9HF+MbgkUbAZr06YNtWrVsmqjUqkYOnQoy5Yt4/nnny90jytpOfi7OvDKK6/wzDPPMG3aNIKCgmjXrh0dOnSgevXqREdHs2TJEkJCQhg+fHhJDF+Ustz/5DL2evoprrzyquVUL0u7kydJ/fZb3Pr3J+Xrr8k7fRqloyN2tWtdvc9ZnLt1Q/tAn7LqeoWidnNDG1ID/cUIG5VqqywPQghxK4oV0F68eJGePXsWCmavFxISQvfu3dm2bVtxHiXETSVk5LF4Vzhf/X6JfKMZVwcNx2b0RKFQMHXqVJvXqNVqqlevztSpU9Fd3ZU+qXttgtwdMZvN1KhRg5EjR9q89sknn0SpVJKcnEyNGjWYOnUqDlc3sry39QzzBzdl9OjRhIeHc/bsWYKCghgzZgz79+/n6NGjuLi48MYbbzBy5EicijpdSlQomut23iudnMBgxHh1I+x/ZezaRdCHC0j5+mtQqUClwpRRMPN/LbC9W6m9vPB/+x0iR4/G/J91tL4vv4Tay6uceiaEqKyKFdB6e3vfUq4+jUaDl7xBiVKkN5hYuv8Cyw5EWMrScvI5GplC02ruzJs374bXX6s3m830blSwjlahUPDWW28VeU3dunUt13l6elr++0JCJt//FU33ur70aezPnDlzLNc89dRTPPXUU3c0RlH+7EJronRxwZSejtLFBUNKctGNjUbMRiMATl26YNbnk/bjj6jc3HCoX7+Melxx2TdqSMjGDSR/9RU5fx1FExSE59jHsAsNvWsyPQghSk6x1tD279+fnTt3WlJ12ZKcnMzOnTsLpTcSoiTFp+daBbPXjF1xiA+3nyUlS39L9ynOxkWjyURqtp5fwxPp3zSQnHwDqdn6InMu//XXX3z66aey3KASUfv5Um3JFyhdXDAmJKANDCqyrdLFBbPBgNrfH88xj6LQqMmPjqbalytQV8EDNW6XUqPBLjQU35deotrSJQTOnYNj06aoXFzKu2tCiEpIYS7GCQcZGRl069YNg8HAvHnz6Natm1X9rl27eP7551EqlezcuRNnZ+did7gsBAUFER0dTWBgIJcvXy7v7ohbcCY2nV4L9hVZ//GwZjzYpCDTQGJmHhGJWWw6GoNapaBf00CCPRzx0JXtyUBV9d9ZVR3XNWaTifzYWPQXL6J0dCR+3nxybGRz8Jo8Gfv69dAGBWFWqbj2p5IpPR2FnT1qD3fU3t5l23khhKiiirXkoF+/fmi1Wg4fPkyPHj3w8PCgevXqAERGRpKUlARA27Zt6devn9W1CoWCHTt2FOfxQlg4aNVoVAryjbb/PgtwK/gIMyEjl1e+/4dfTsZb6pb+GsHDLYJ46f66eDrZ3fA58Rm56A0m1EolPs52KJWyG/tuo1Aq0QYEoL2aii1w3vskLPiQtM2bIT8flZsbXuOfxuWBByyHKBiSk0letZrkzz+3rBnVhtQg8KOPsKtVS1IaCiFEMRUroN29e7flv81mM0lJSZYg9nq//fZboTJ5AxclydtZy4DmQaz9M6pQXZC7A0FXA9rfLyRbBbPXrDt8mb5NA+hY2/aMWWq2ngPhSczZeppLSdl4O9kxvmtNHmwSgNdNgmBRtWl8ffGb/jpeE8Zjzs1FqdOh9vFBoVIBBe+NGb9sJ2nRIqvr9BcjiHxkFCHfrUdTRJ5iIYQQt6bYWQ6EqAgcNGqm9qhDSpaebSf/PaQg1EvHF6Nb4utqT2q2ni/2F/1vdsn+i7Ss7oGDVmVVnm808cOxGF7feMJSlpCZx6wfThIen8lL99fF2V5T8oOqQkw5ORjT0kEBag8PFJqq9f1SOjigDbK9ntYQH0/qd+tROjlhysy0qjOmppLzz3EJaIUQopiKFdBeW15wJ5YsWcKvv/5q8/hQIe6Er4s9cwc1ZlqWnvj0XFwdtHg5a/FxtgfAYDSTkWso8vqMXAP5RhMOWAe08Rl5zP35jM1rVv8RyeMdQ+8ooJ07dy7Z2dk4Ojre9rUV2fXjMptM5EdGkfDZZ2T+8gsKrRa3hwfhPnQomrtgY1R+QgL50dG49OiJeqQPmMwkfPwx+detLc49dRKXXj3LsZdCCFH5FSugLY79+/fz5ZdfSkArSpSboxY3Ry01vQvndXV1VNOjvg/n92TauBJ6N/LH2b7wj0Ratp6MPNuBsNkMUcnZhFx3gMOtqqrZDa4flz4ykosPP4wpI8NSlvTZ52Rs+4Vqy5aiue7Y4KrAkJqKMTkZU1YWCgcHMnftJvHjjzHrC7JsqAMCCPr4o4I22dkoNBrJuSqEECWg3AJaIcqaRqVieJvqfP1HFGk51sncfZztuK+Bn8213Vq1dXa7psFu9Kzvi1at5EhkCk52//4Ypefkk5lnQKlQ4OmkRaMqVma8Ss2Ul0fSkqVWwew1+osXyT5yBNfevcuhZ6UjPyaGmJdeJvuPPwoKFAqcunYl4P33iXnuOcxGI94TnyFl5Vek/fADXM1Ra1+/PoEfzEdbjE+8hBDibicBrbirBLs7sGFCez7ccZaf/o5FqYT+TQN5pnttNCoFp66kk6034Olkh5dOi5O9Bg+dloaBLpyPz+K9QY05n5jF+iPR5OgNdKztjZujBn2+gfCEbN7dcooD55PQ2al4pG11Rratjr/rzZPEZ2dnk52dTU5ODvb29uh0ukq/FMGYlkbmrp1F1qdv3IRz9+4o7Sr/pjpDcjIxL72MMSUFTWAg+dHRYDaTuXMnjm1aU23FcoxpaSgdHHBs2ZKcY8fQX92DkHvyJJGPP0H1r1ZanURmSE0FkwmVmxsK5d37h5EQQtwKCWjFXUWhUBDipeOdhxoxrVddUICHo5bI5GzGrTzMxcQsAJQKGNa6GlPurYO3sx0fDmnG0cupLP01giOR/x4ksvZQFD+fiGXdU+0Y/NkBMvMKZt3Scwws2nWePWcSWPJoK3xd7Av15cyZMxgMBnJycjh16hQXLlyw1FWrVo3+/fvj5uZWut+QUnBtXOaMDOztiw7mFU5OlkwAlZ0xPR2PRx4h98xpVM4uaKoFk7JqNbr295B/OZr49+eh0ulweaAP2hoh+M9+l4T352FISMB1QH80fn4Y09LQ+PqSHx9P1t59pHy9GnN+Pi4PPohLnz6WNGFCCCEKk4BW3JUc7dQ4Xl0qEJOaw/D//U5CZp6l3mSGVb9H4utiz/guNanp40RUSrZVMHtNWk4+n+w+T68Gfqw/Em1VdzwmnXNxmTYD2u7duxMdHY27uzuTJ0+2qouMjOT7779nyJAhlW6m9tq4AgMDOfbW28TPnm2zncfwYSjUlf8tKD8+nti33iZ7//5/CzUa/GfNROHgQPycubgNfhhdhw6kfrOOzL37sAsJwfvZKZiys4mf+x76ixfRhoTgPXEi+vh44t9803KrhHnzSV2zhuorV0o2BCGEKIJ8jiXueufiM6yC2et9se8C8Rl5mM1mNvwVbbMNwPaTcbQJ9bRZt/XEFZvl1w7p02q19OnTB+//nBoVGRlJVlbWrQyhwnLpfT/2TZsWKncbMgRtSEjZd6iEmY1GUr9dbx3MAuTnc+X16ahcXNB1aI82tCbRkyaTtX8/+ZGRZO7Zw6XhI8iPuozK1RVzfj55Z89yeeJETMlJON97r/XtomNIXb8e89V1t0IIIaxJQCvueuHxRQeN6bkGcvONKBQK7DRFfzyuVSsxFHFKmbuj9RpRo9FIdHQ02dnZQMH62QMHDtCpUydq165t1TYnJ+dWh1EhaXx8CProI4K/+B8uffrg9vDD1Fi7Bu8pky2naFVmhsREklessF1pNJJz6DAeo0eT+PFHNpvEL1iA29ChVmVJS5bi+lC/Qm3TNm7CkJxc7D4LIURVVPk/7xOimOr4Fk7xdY2rgwb7q4HskJbBNk8iA3ioWQA7TsfZrHugiXW+1dTUVJYvX47xutm2lJQUvv/+e4YOHUpERAT5V49HrWzLDWzR+Hij8fFG17591Tsh0GjElJZWZLUhKQmz0YgpK9tmvSktDYXG+m3YnJtreyZWqQSq2PdPCCFKiMzQirteLW8n/GyscQV4uktNfJ0LZlhreDoyuGXh06BCvHSMaleD2LTCs6mv9q6Hv+u/9zYajRw5cgSDoXBeW5PJxNGjR2nQoEHB82rUqBIB7TWVOZg16fXoo6PJ+ftvck6eJD82FrPJhMLeHvv69Yu8TteuHQBuQwbj+/LLeE0Yj6Zatf+0Kvx9sbVZzm3gQNQe7sUahxBCVFXlNkN7bf2gEOXN382B1U+0YfyqI5yOLciZqlEpGNM+hEEtglBdzSXr4WTHtPvqMqB5ECt+iyAr18BDzQJpF+qJv5sDSx9tzenYdH4+HoenTkPfJoH4u9pbnSKWn59PZGRkkX2JjY2ladOm1KxZkwcffLBKBbSVlTE9nfSffiJuzlzMV5eAqL29CZg/D4emTfF5aRqRo0YXuk4TFIR9k8YYk5MxJCaRuXsPam8vPMeMwaTPI+l/X6DQaDBlW8/eqn19Mf5n1lcbUgPXvg9WmawQQghR0sotoH355ZcZM2ZMeT1eCCuh3k589XgbkjP15OQbcddp8Hayw0Fr/SPi6WSHp5Mdzau5YzSbcLju42JfF3t8XezpXMenyOeo1Wrc3d25fN3Rp9dzc3OjQYMGtGzZEgeHm+evFaUv98QJYmfOsiozJCQQM/U5qq/6CpW7O9VWfok5T0/mrp2krPsW565d8Xn5JQzR0Vwa/ShcnZE3X11KYlezFj5Tn0UTHIwhPh6VhwfG5GQUDg4EfvABxuxsHNu0xqzX49q/P06dOlW5U9WEEKIklVtAGxYWRlhYWHk9XohCvJzs8HK6tST/BaeH3f6KHbVaTbt27fjnn39s1nfs2BGPKrBZqqowpKWR8GHhDV0qT0/8332H6OeeJ/eff0ClwqlLF1zuuw+Pxx5D5e6OOTuHK9NnWIJZlZsbAXPnEDd7DvrwcMu9tLVqEbRoIblnzuDUvj0af38UajWOTZsUHKzg4lJm4xVCiMrqtgLa0NBQFAoF27dvJyQkhNDQ0Fu+VqFQ4OjoSM2aNRk5ciSDBg267c4KURV4eHjQt29f5s+fbylTKBR0794d3+tOihLlz5ybiz4iolC598RniHvnXfQXLmDfoD7eU6eSuX0HSV98gdrTE4/Hx6IJCkJ//rzlGo/HHiNhwYdWwSyAPjycuLffIfjzz6wyP6icit6sKIQQwtptBbQRV9/Yr+3AjrDxRn8zJ06c4IcffmDevHlMmTLltq8XoiQYTWay9Qbs1Kqrs61lx87OjoYNG6LT6UhPT8fR0ZFnnnkGJycntFptmfZF3JjCzg5tSAg5f/1lVaby8EB/4QIqDw+8J00metIkSyaDPCDnxAncR4zAY/RoS1ovu9q1SLjuj5jr5R4/jjE5uUqkMhNCiPJwWwGtyWS64eubyc3N5c8//6Rv374sWrRIAlpR5kwmM5dTcthwNJpfwxPxd7XnsQ4h1PDU4eKgufkNSohGo+Hw4cMYjUZUKlWVWmbw559/WsZVHswmU0G+VrMZtYdHsTZSqd3c8J40icjr1vur3Nww6/PxnjIZuwYNyD58BFOeHgDHdu3wGDkCY2oqptw8HHv2xGw0kPLVKsx6/Q2fVVRqLyGEEDenMJdDuoGHH36YjRs3or/JG3x5CQoKshzdWdTmHVE5nYnNYNAnB8jIs06bNePB+gxuGYzOTlIzV2b5V66Qtnkzqd+uB5MJ1759cRs4oFhHxhrT00nfsoW4OXPBZML/nXcwJiWSsvYbzDnZ6O5pj3OvnmTs2o1D3brEvv025tzcgosVCtyGDkVbvTraGtW5/PR4sPWWq1BQ8+ctaKtXv+N+CiHE3axcAtq//vqLyMhI+vUrfBpORSABbdWUkqXn8S8PEZ2Sg71GSXRqDvlXT/dSKmDnc12o4aUr516KO5UfG0vkmMfQX7xoVa4JDKDaypVobxLUmg0GzAYDSvuCvMHG9HRL+iyFzgmzPg9zVhZXZs4i588/ra5VurpS/csVRAwdZkntdT3/t99GoVGTsWs3GVu2FBSq1Th364o2JBRNYAAuvXvLulkhhLhD5TId1axZM5o1a1YejxZ3sczcfJ7uUpOY1Bwycw3U8XPmn8tpLNoVjsFk5mhUqgS0lVjW/v2FglmA/OgY0n/8Ec+xY1EoC6+XNqano4+MJGX1agxxcTh16YKuQwcSP/mU9E2bAHBo3hy/6a9jzM0tFMxCwYlfSUuX4dKrJ2kbNhaqT1q2jGpLl+DYpg0qV1fyzp/H66knyfh5K5l796Lx88OuVi3satZE5epaAt8NIYS4u9xWQPvll18W62GjRo0q1vVC3KmcfCPHY9KZvOYoeuO/a7971vdlzqDGPPfNMfKNt7cm/HboDUbScw2olQrcHAs2fn3++edkZmbi5OTEuHHjSu3ZZa08xmXMyCD1+w2FyjWBAaj9/Mn+/Q/cBgxA7elpfV1mJqnffkv83PcsZVm/HkDl4UHAnNlk7tqFKSODnCNHiBg2nGpLl4BabUnFdb3MHTvwfeVlmwGt4coVMJnQ+Pnh+9I08s6c4dKo0Zjz8gDIO3WKzF278H7+OdyHDUOlkz+shBDidtzWkgOlUnlHx1eazWYUCoXV2fUVmSw5qHouJmZy7/y9GE2F/7lP7l6bX8MTmTuoMaHeJfuRr8lkJiolmxUHIthzNgFXBw3jOtWkZXV3mtarWSX/nZXHz48xK4vL4yeQ/fvvAGhDQ/GeMhlDQgL6iEvY1QxFd889aIKDrd7D8i5e5ML9va3uZd+4Mc7du6EJDMSUk0vsrFmWANZt8GCMaWlkbN1aqA8qNzd8nnuOK6+/XqjOsXVrgj7+CJWrK4bkZCLHPEbemTOFB6JUFqylLXQ8rhBCiBu5rRna6dOnFwpoz58/z1dffYWjoyM9e/akRo0aAFy6dIlt27aRlZXFyJEjqVmzZol1WojbteWfWJvBLMCaPyOZ93CTWz5UIS49l8xcAxqVAg8nLU52GpKz9CRk5BGdmo2nzg4/F3t8Xe25kJjJQ4sOkHndJrSnvjrMQ00DKaI74g6odDrcRwwn+/ff0QQG4DttGjHTpmFMTf23jZsb1VYsx/66A12yrgbAAAoHBwLefht9RARpGzdhys3FqWtXgj/7tCDn7PnzZB8+jEvv3jYDWtcBA8g8eNBm/7ynPmtZSmBMS7MdzAKYTOSeOCEBrRBC3KbbCmhnzpxp9frcuXO0bt2akSNHsmDBgkKph1JSUpgyZQo//PADB4t4oxeiLEQkZRVZF5+RR7VbSNuVkZvP7xeTmbnpBJdTclAqoEd9P16+vy7vbz3N5n9iLW2D3B1Y+mgrvth33iqYdXFQ80CjAML8nFhb9vsxqzSHZs3QtWuH073diXv3XatgFsCYmsrlZyZSffUqNN7eAJhz8yz1vi+/TPLKL8n566ilLHXVKjJ+/JGAee9z+enxqD090QQFWt1XqXPEY8xjuPTpjdloxPPxsZjSMzCmpqBQq1G6uWFXu/a/F9zsf7v8uxBCiNtWrIzyL7/8Mu7u7ixbtsxmHk13d3eWLFmCm5sbL7/8cnEeJUSxdKrjXWRdkyBXnG8hXdexqFQeX3GIyykFu9hNZth6IpZHlv5OjwZ+Vm0vp+Tw6NI/aFXj3zWbg1sG896gJiRk5LHyYCQZuQWBbm6+kcspkoO0uDTe3gTMnYN9w0Y2T/cCyI+KwpicbHmta9cWALWPDwq1yiqYvcaYmkraho243H8/nk88jlPnzlRbsRynHvfi3KsXNb5Zh0OTxuT+8w+Zu3aTHxWF0tkJY2oaMa++Rv6lS2A2k5+YSH5cHEpnJ+wbNbI9CKUS+4YNi/utEEKIu06xshzs3r2bnj173jCBulqtpm3btmzbtq04jxKiWJpXc8fPxZ7Y9NxCda/2ro+77sYndCVl5vHWj6ds1kUl55CtN+Lvas+VtH/vH5OWi4NGhYNGRcsa7tTzd+bJlYct9bn5BWvKzcCMjceZ1a8hQe6OdzA6cY3a25v8K1du2Mac8+//I7WvL64PPYQpJ4es/b8WeU3m7t0EfrgA+7p1Ubu5oW7TBoemTTGmpaE/f54rr76KIT4Bj9GjUdauTeauXSjsHQj6YD5oNKR9v4GUVaswpqWhu+ce/N98g9i33ymUMcF7ymRU/9m4JoQQ4uaKFdDm5ORw5Sa/PABiY2PJzS0cSAhRVgLcHFgzri0zNp1g77kEzGYI9nBgVt+G1A9wuen1uflGTsdmFFl/PDqNUG+dVUALkJ6bj4uDmhFtqjP1m6M2r83INfBAk0BWHIjghV5haNXlc8JWVaHy8ECh0WC+ekS3FbUalee/nyap3dzweeF58i5eJO3bb4u8p0KjQVu9uvXRtAoFpowMTNk5eE+ajAnQnzhB1FNPWV3rOmgQdiE1LLPG6T/+SMb27VRfvYr0LT+TtW8faj8/PB9/HLs6tSXDgRBC3IFiBbSNGzdm3759bN++nXvvvddmmx07drB3715at25dnEcJUWw1vHR8PKwZKdl68o1mXOzV+LjY39K1SqUCVwcNaTk2giTA29mOY5dTC5XX93dBqQCT2Uy23naWD5PJjINGxfd/RTO2Qyh+rhLQFofaywuPsWNJ+vTTQnUej44ulLpL7emJ2tMThUJhM+UWgNvAgWh8fCyv8+PjSfpiCanffIM5Nxe1jzde48dbBcsADi1bgtmMXZ0w1IGBGKKjATDn5RE/bz6B8+bh+dhjKOztUDnK7LwQQtypYq+hNZlMPPDAAzz22GNs3bqV06dPc/r0abZu3crYsWPp06cPZrOZl156qaT6LMQdc3HQUN1TRy0fp1sOZgF8nOx4rH0Nm3VqpYImQW4cj063Km8c6EKQuyPrnrwHF/ub/+2oUCi4/aR44r+U9vZ4jHoEv5kzUF/d/KXy8sL39dfwHDMGZRGBozYkBNcB/QuVO7Zrh+ugQWQdOkTKmjVkHTxI7omTZGzdajni1hCfQOzMWSg0GhzbtcO+QX2CP/8MxxbNMSQkkLFjB4Fz5uB8//2W+2YfOIA5Jxu1h7sEs0IIUUzFmqHt27cvixcvZurUqSxfvpwVK1ZY1ZvNZuzs7Pj444/p27dvsToqRHlSqZQMa12No5fT2HU63lJup1ayeERzYtNzsVMryTOYUCiga5gPbz3UEC/nglRgCgU42amtMh5co1QqyNIbeLhFEB5ON17LW9FkZWWRnp5OZGQkDg4OBAcHl3eXAFB7eOA2ZAhOXbti1utRaLWovb1tnhR2/TU+zz+P60MPkbLyK0zZWbgOGYpdjepEPvIIhvh//79rAgPxf+dtYl540WqTWdLSZfi//RYKtZroZ6diyvo3u0bq2rX4TZ+OKT2NrF8PoNBoCv5hCCGEKLbbOlihKJGRkSxZsoT9+/cTExMDgL+/Px07dmTMmDGW3LSVhRysIIqSnJVHbHoeRyNTcHfU0jDQFV8XO8xAfHoeGbn5OGrVeDppcbb/Nw1YvtHE9pNxjF99xJKVKfbrVzBlpxJWI4jWEz7gjX4NCaxEm8IyMjLYtGkT4eHhljKlUsnmzZvJyMjAz8+PnTt3lmMP75xJrwejEWNmJpGPjLKZNcG+YQOce/YkYf4HVuU11n3DlVdfI+/s2ULXKOztCXz/PS4/MxHXAQPwm/46Svtb/6RACCGEbcWaob2mWrVqzJo1qyRuJUSF5qGzw0NnR31/641kGbn5qJUKPHRaPJ20aP6T+UOjUtK5jjc/TerI//ZdIDw+k0HvfUn/5oFk5hpoFORKgJtDWQ6lWEwmE0ePHrUKZq+V9+nTh0mTJuHm5gaA2WAgPy6O3L//IT/2Cg6Nm6CtFmxZDlARKbUFM+X6S5eKTAGWe/wEXuPHWxcqFGA22wxmAcy5uRjT09HWqYPX+KclmBVCiBJSIgFtWQgPD+f999/n4MGDHD9+nLp163L8+PFC7ZYsWcKcOXOIjIwkLCyMt99+mwceeKAceizuBnqDkYuJWczecpq95xLRaVUMb1ON0ffUwN/VOkB1tFNTz9+Fdwc0IkdvRKlUYDaDi736jo6ULk+ZmZn89ttvhcrr16pFh3r10P/4I4mZmTi2aYNSp+PSqNGYUlIs7ezCwgj+9BM0/v5l2e1CDCkpmLKyUKhUqDw8UNpZnxZ3/ZIBW8x6vdVrXZcuBbO7N6Cwt6fa/z5H4+t7Z50WQghRSLEDWrPZzKpVq9i4cSPnzp0jIyMDW6sYFAoF58+fv+PnnDhxgh9//JE2bdpgMpkwmUyF2qxZs4YnnniCV199lW7durF27Vr69+/Pvn37aNu27R0/W4iiXEzMou/CX8kzFPx7TM818OmeC+w+k8CKMa3xdS08A2enVmFXyVNzmc1mcnJyrMpaNGpEazs7kh4ZBcZ/Mzo4NGtKwBtvcHnyZLj6c5t35gzx8+fjP2tWkZu0SpMxJ5e806eIe/ttco+fQGFnh+uAAXiNe8IqyFZ5eVlmXQvRaArWwV6lDQ3F77VXgYL8toa4uMLXKJU4NGxYZsFsflwceWfPkf3HH6gDAnBqfw9qX99CgbsQQlR2xVpDq9fr6dOnDzt37rQZxEJBIHutzlYQeqtMJhPKqxs6Hn30UQ4dOlRohjYsLIwWLVqwevVqS9k999yDm5sbP/300y0/S9bQiluRkZvPlLVH2XEq3mb98jGt6BLmY7OussvOzmbVqlXExMRQt25dmjVrhkGvx5CUhI+zM6pz57D39i7YkKVWo3BwIOPnraSuW/fvTdRqam7ZgjY4qMz7n3PsGBHDhlsC7Gu0tWtT7Yv/WQJOY0YGcW+/Q9qGDYXu4T56NC7330fO0WM4NGyAplo1ND4+mIxG9OfOoY+MArMJzGZSv1lH1oEDeD71JJ5PPFEmuWbzY2K4NOaxgpPKrlGrCV68CMe2bS3LKoQQoioo1gztvHnz2LFjBw8++CDz58/njTfe4KuvviI3N5cLFy6wdu1a3n//fZ5++mnmzJlTrI4qb7A7GeDChQucPXu20HOGDh3KCy+8QF5eHnYyKyFsyDeaiE/PJTUnHzu18uo62Zv/ss/MNbD3bILNujYhHiRk5JFnMBY5GztixAgSExPx8vJi1apVxRpDWXN0dKRXr14cO3YMT09P1q5da/mD9bd9+8i9fBnn2Fjm+hXMdmqCggiYO5ecv/8m78yZgpsYDJjzb/zxfGkwpKYSN3t2oWAWQH/uHHnnwi0BrcrZGZ/npqL29iZ51SrM2dkonZzwHPsYboMHo/b0xLFpU8v1prw89OfPk3PiBGpf34L29g54jB2L16SJaKtXL5Ng1piVRdycudbBLIDBwOVnJhL6049og8r+DwkhhCgtxQpo165di4eHB6tXr0an01mCTo1GQ1hYGNOnT6dr16507dqVsLAwHnvssRLptC2nT58GoG7dulbl9erVQ6/Xc/HixUJ1QqRk6dl4LJp5W89ip1HSt0kAdXydaV/Lk2CPgsAjLj2X8PhM9pxNwNvJju71fPBztUehUOBkpyYl+9/DFmp6O/Fan3r8GZHMt4cvs+dsAo+1DyHUW4ebo3WQvGfPHssnAZWRn58fCoWCpUuXWsr8/f05duQIsSkp+Kr/fXvJv3yZqCefJGD2u1ye8AwAah8flI5lfyqWOSeHnL+OFlmfuXcPTh3aW16rvb3xmjQRt6FDMeflonJ2BkXBe53ZaERxdQOgISUF/aVLpP+0BXNeHjonJ/Lj4kj9fgPekyaicnUhPyYGU04OGh8fFOrS28JgTEkhY/t2m3VmvZ7cEycloBVCVCnFekcNDw+nU6dO6K7OOFwLaI1GI6qrb/IdO3akffv2LF68uFQD2pSrG06u7ay+xt3dHYDk63JF/tf8+fOZP3++5fWtHOcrqoZ95xKZuekkYzuE0CTIlbWHoth5Op5dZxKY2K0Wnjotj634k1NX/j329p0tp5g/uCk96vnwSNvqfLSzYKe/i4OaGQ/WZ9Kav0i9Lsjd/PcVpvaozZh7QnB20BTqQ2WlVCo5fPiw5XVwcDDd27dnRhFLi0wZGegjI9GGhKC/eBGfF15A7VsOSzKUSpROTpgyM21W28q+oNRo0AYGkB8XR8bOnaSs/hpzfj4uDzyA60P9UDo4krBgAalrv7Fck7p2LR6PP07AnNkYYmLIv3IFQ8wV0jZtwn3kSJy7d0fl4lwqQzTn51utY/4vY0rR74dCCFEZFeukMJVKhaurq+X1tcA2IcH6Y9jAwEDOXPuYsQJKT08nOjra8lWctb6i8ohPz2Xu1tP0buSHi72aSWuO8mt4EhFJ2Ww9Ecukr48Qn5HHi73q8ka/BjQJKvi3bjbD1G+OkpCpZ3ib6jQKLEjh9XCLYL7Yd8ESzNprlAxqEciS0S3pWNubI5EpnIhJIz4jt9zGXJKMRiMpKSm4ubkxbNgwQkJC2PXbb+iv/jGrcHIqdI0+IgK7Bg0ImD8fp04dyyW7g9rDA/cRw21XKhQ4F3GMd358PJcnTyZ2xkzyzpxBf+ECiR99xKXhIzAmJZK67lur9o4dO+I+ckTBwQvmgoBeWzMU39dfI/uPP8g9faqkh2ah1OnQ3GDm375x41J7thBClIdizdD+d9NUrVq1ADh48CAPPfSQpfzvv//GycYvt5J0bSY2LS0NPz8/S/m1mVsPDw+b1wG4uLhYfex75coVCWrvAnkGE5dTcpjVtwFPfXXYqm5M+xo0DHBl2vq/OROXQYCrAyPbVmNQi2CmbzqO2Qy7z8Qzpn0IX4xuRXRKDg4aFceiU6nj50xajp77G/rz0z+xfLTjHDV9nHiwcQALtp/jYmIWX4xqWU6jLjkajYaQkBCCgoLYsGEDWVdTXOXnFwT0+Uolzk8/TcYnn1iucWjaFF3HTmi8PG/5OcbMTAyxcaT9vAVjfAJO3bphX6/uHWcKUGg0uA8fTtbvv5N79Bh2dWpjX78+ShdXXPv1xZSVRfbhw6h9fFB7elqyMOT8/Te5R4+hrVULu5qhADi2aoUmMBB9VBTVli8ja+8+ck4cx/PRMeSdDydx4ULsatdGGxRE0pKl6M+fx6FFC/xmTCfxk0+xCwtDfd2kQEnR+Pjg++orXB4/oVCdrn17NNe9RwohRFVQrIC2bdu2fP/995YNV7179+bZZ59lypQp2NvbExgYyOeff86pU6d48MEHS6rPNl1bH3v69GnCwsIs5adPn0ar1RIaGlrktVOnTmXq1KmW19eyHIiqKT0nn5x8IyqlgkaBLqRk68k3/pulo02IB8Hujjy37pilLDo1hzk/n+HhFkGMaleDFQciSMws2NCkUiq4lJzNol3hxKfn0jjIjYnda7Hs1wh+Ph4LwLHLaWw8GsPcQY358kAEY1ccwlT8Q/rKlVKppGnTpmzbts0SzF5Pn58PHTqg+OILzPn5KJ2dcWzd+vaC2aws0n/8kdgZMy1lqd98gzY0lGpLvrjjPLYaX1+CFi3ClJJK1h9/kLVvLyhVGGJjyT58mOSly0CtxnPsWDxGj0Kp05GxcxdBH3+M/nIUucePowkORhsaSuratWRs3QaAU/fu+L70EhHDhmPOzrY8T+XmRsDcOVx5fTo5hw+T8MEHV9fk5t1R/2+FY6tWBH/xP+Jmz0EfHo7S2Rn3kSNwHzYM9Q3+wBdCiMqoWAHtwIED2bJlC9u2bePBBx+kVq1aTJkyhQ8++IA+ffoABfkqdTodc+fOLZEOFyU0NJQ6deqwbt06+vXrZylfu3Yt3bt3Ryspau566Tn5nLqSzgfbz3IxMYvaPk68eF9dVErrj72Hta7GrB9O2LzHt0cus+zRVnz5WwSd6niRmq1n3rYzfP1HlKXN/vBEDpxP5IMhTQmPzyQ8vmCtptFk5t2fTvFK73pM/eYYxiryIcCNlhOdvRJDaKNGGOLjCfr4o9sOQA3x8VbB7DX6CxdI/PxzfF966Y5zqppzcogcNw7D1eO6AdK++w6Px8bgPmI4KatWk/TZZ2hDauDSuzfuAwYQ/eyzGK5bUpX0+f/we/11TDm5ZO3dS+aOHahcXXDp2YO0DRst7YypqcTPm4/HI48Q//77mPMNaAODyPnrL7KysrBv1Ai1tzfq/+wBKA6VszNOHTpgv6IeptxcFCoVai+vUt2MJoQQ5aVY72x9+vQptIFq3rx5tGrVig0bNpCSkkKdOnWYNGkStWvXLlZHs7OzLblkL126RHp6Ot9+W7BmrXPnznh7ezNz5kxGjBhBzZo16dq1K2vXruX3339n7969xXq2qPz0BiOb/77CK9//YymLS89jf3gS7w1qTKfaXuw9lwiAVq20ylxwPbMZYlJzaV/Tk1AvHYmZeqtg9hqTGRZsP8ej99RgxqZ/g+PETD2OWvXVNpV7hvaaGy3PMdvZ4f/uOygdHFC7u2OIi8Ocb0Bhb4fG5+YbwjL37CmyLu277/EaNw7lHczSmnJzSVi02CqYvSZl9dcEffYp6Vu3YUxMJPHjhTi2aUvCokVWwWzBjUzEvvMOQR8uIOvq+0z6D5sJmDfPKqCFgsMktJMm4tyjB7oO7bnYv3/B5q2rXPr0wffll1B7ed32eG5E7XnrM+JCCFFZlcqf6kOHDmXo0KEles/4+Hgefvhhq7Jrr3ft2kWXLl0YNmwY2dnZzJ49m9mzZxMWFsb3339Pu3btSrQvovKJz8jjjc22Z13f3HyS1U+0sQS0aqXtjUpOdmoe7xhCo0AX6vo5kZtvwmAysXhEc5QKBT8fj+WvyGQeblmNGp6OJGTmUdO7cFoqMwWB7H9nhisje3t7ateuzblz52zW12vQALuAAPITEkj45BNSvlyJKTMTTVAQPs8/j2Pbtqjdil5DakxJLbLOnJeH+Q7XuhtTUsjYvNmqTOnkhPeUyai9vdGfPYvvtBdRqNUkfvIp5uwssm0c9QtAfj75V2Itp4OZ8/MLDlSw1WeDAbdBg4h6+ulCeXDTf/wRh+bNcBsypGDpw++/k3v2HA5NGuPQtCnagIA7GqsQQtwNKs1nTzVq1CjyNLLrjR07lrFjx5ZBj0RlEp+RR26+7SAjPdeAyQQ/TerA0l8vkpqdT8NAF45HpwPg5qhhVNvq9GroR2JGHn9GpBDqrWPlwbNs/juGfKMZO7WSt/s3pE9jfxZsP8upK+kEujvwVKeazOrbgJk/nMBsLrhXvsFE6xAP9pfDDv+SZm9vT48ePbh06RJ6vfUhCZr/s3fWYVKVbRj/TfdObPcCuywsXdKNhKKAQaioYGFjK3Ynig12KxJSoiAmSHc32x3THd8fAwPD7mKwqJ+e33V91yen3vecWdh7nvO89y2Todfr8dfVUf7oY9hP8EX1FRdTMnUqyU89iX7UqIiX68lo+/WlZtashsfu2OHPhxSEQlHVUZFSSeoLL1D16iu4d+2ObBfr9aQ+/xyh3wh2CTociJTKyLXC/yFCrFYRdLkhGESs1yOOicGxclWDoQ4A1hXfo8zLo/CqqyM9uHWEe3AzP/4IxWm+6RIQEBD4t/J/I2gFBE6Hxqqukf0SEXkpep4a0x6PL0CnDAPj3lqLXiXj0fPbMPPnQxG/2ZaJWqaNaE2nDAN9cuJwewMcrLJjc/u5c872yDWLal3cv2An47qlc1n3TD5ZV8Ddw1qxq9TCjHEdebv8GiwWS5T13f8jsbGxXHfddaxdu5aDBw/Sv39/jEYj6enpaDQa3KWlUWL2RCpfmI6mV69GV93LMzNRdu6Me/Pm6B0SCUnT7kfyJ3tOxVot6l49ca4OV131o0Zhnj8vSswCBC0WSu++h6wvZyNLS8PXSBS2omUOvqMLSY2XXELI7yf9zTfx19UiiYnBV14OIhHOTZvw11Q3Oi/D6FEU33xL1IIyCPfgltxxBxnvvy+0EAgICAg0gCBoBf4TxGkVGNSyqMCDYyTGKDBpwguL5FJxxAHhrYldUMul/HKgih3FlsjxsRoFiOCnfVWsPlSNTinj0u4ZpBlUqGQSXL5oQ/svNxYx+9oeXNA5lViNnPM6JKNTynj44YeB8MJJi8VCbW0tFouF+Ph49Hr9Gbe6ayrEYjEmk4mhQ4fSt29frr76atRHra4APPsbbkcACNTWErDZGhW00rg40l56EfOcOdR98ikBqxV1t24k3HUXiuwWf3rOkpgYEu++h/xx4wh5PGj79KF46tSG52g24y0pIenxxyiafFW4kfoEdMOGRpLHDBMnYpwwnrIHHsS5bl3kGHl2Nmkvz0Ck1eLasAHrwkWItVpMEyei7NCekMeDSKFAEhtLwGxucB6e/Qfw19YKglZAQECgAQRBK/CfIDFGySvjOzH5gw34g8cFiVwi5uXxnUiMCQvacouLhxbuYvnuisgx3ZuZePWSTtzy+RZkEjFX923GtR9twnvUpsDt8/DtznJyE3V8NPksbG4/GoUEtz+AwxMgGAohFYnolGFscG6VlZV8/PHHOBwO4uLi0Ov1yGQyhg8f/n9VvZVKpeh09ZOvJEZD4yeJRIhVKrxFRfgqKhDLFUjj45AmJiI6FqWdmEjc9ddjuPji8Kt7tRpJEzwXRYvmNJs/L9wjS+iUyVr+yipihp5N5mefUfnCC7i3b0eakIDpqqvQ9ulNwGrFcOEFiHU6yh9+OErMAngPHqT4llvJ/OB91F26IG/ejMT77qPmnXeoPubTK5GgP+88Up59htK772lwPiFvw4sVBQQEBP7riEK/pzH1P8YxH9qTgyME/r9x+wKUmF18vr6QPWVW2qcauLhrGmlGFXKpBJvbxz1zt7P0qHfsiXTOMHJ2XgIyiZgkvRKxSIRELOJQpZ1DVQ765sTx3Ld7EYtFPDWmHdOX72Pb0aquViHl7uG5DG+ThNcfBBEYVHK0SilWq5W3334bjUbDwIEDqampobq6mtjYWFJTU0lMTESlUv3Vj6pJ8ZWWcvj8UQ1GzSY/9yzegsJwn6zfD4DEaCT11VdQd+iASHbmo4KDTie+qiryx44jaLE0eEzW/Hmo8vIA8JvNhNzucEXVYIhKO/MWFHBo+AgIhVB26IDhwguR6GMIeb1Yv15K3C03o8rLw1tYSMntt+PeWX+hon7MaBCJscyfH7VdrFHTbNEi5KdIABMQEBD4ryJUaAX+tZSaXWwurOPnfVVkmNSc0z6ZFL2S+0a0xusPIpeKo5wGqu1evtlVX8wCbC6s474RuTh9AR5ZtJsj1eEggbapMTw+qi0PL9xJqcXNa5d04q6526iwHjfMz4xVk2FSc+ecbaw8WI0IGNQqgWnntEbpsyOTyRg0aBDz58/Hc4LRvlwuZ+LEiaSlpZ2ZB3SaBAIB7HY7drsdkUiERqNBq9UiOWmBlzQhgfRZM8MLndzHY381ffogEkuoef316OvW1VE0+SqaL1mMPCPjjN+HWK1GnpZG/E03UfHkkyha5hAz8jwk+hg8Bw/hzT8SlUomVqvxW61Yly/HV1CAunt3VO3aIUtOJuhwQihE3M03I1arqH7tNfyVlYi1WgwXXhgR6EGHs0ExC2BZ8jVpL71YT9DG33Ir0t9hdXY6+Kuq8OTn41y9BklcLJo+fZAmJCA5Q1+qAlYrQacLkVTS5HZlAgIC/y0EQSvwr6SgxsG4WWsptx4XUC+t2M/rl3RmYKsEVPL6q+ptbt/J7ZERtAopUomYyW+vI3BCy8LOEisT313PG5d25t5527G6/FFiViIWcc/wVtzw6WbsnnAFMgSs2FPJRzefg89WTcJRkeI5KTXK6/UyZ84crr766gZf5f+deDweDh48yOLFiyPzViqVjBo1iiFDhkS94RBJpag6dKD5ksW4Nm/GW1iIqlMn5JmZFF17XYPXD3m92FZ8T+zkSX/J/YgkEmJGnouyXVtc27ZhnjOXQHU1ynbtiL/1VsRH3RSCPh/Odesouv6GSEW57tPPkCYmkvnxR4j1MWgGDABCVD57PEwmaLdT++GH+CorSHrkEXwVDX9xAsDnQ6zXR2zAZBkZJEydirpXT8RnsGLtKy+n+MabcO86QWiLxaQ8/zzaQQObVNQGnU48Bw9S+eJLuHfsQJqYSOx116Ht01voERYQEPhTCIJW4F+Hze3j0UW7osQshMMObvliC9/fMYAMk7reeTqlDJGo3pofzm2XzBW9MjE7fcy8rDPFdS7e/uUwpZbw9e0ePysPVDOsTSIHKm1R5w5pncC3O8sjYjZ6PuGBxGIxer2e1NRUamtrKT3B7N9qtWK32/9xgra2tjYSbHIMt9vN7NmzGwxaEEmlyNPSkJ9QbfaVl+Mrqh9KEbne7t2N7jsjiMWY587DcsJ9OVauxLF6NRkfvI+mWzf8lZUU33xLRMwew19RQdkjj5L6wvPETp5E8Q031ru8ND4eX2kZAYsFafwpKq0SCbLERLK+/BICfkQyGdL4+Ca7zYYIer3Uvv9+tJgFCAYpvesumn+zFElmZpON59y0Kfxl5ujfAe/hw5Tdcw+GCRNIuG0qkpiYJhtLQEDgv8EZEbT5+fns27ePuro6AIxGI7m5uWRlZZ2J4QQEoqhzePlxf1WD+3yBEDuKzQ0K2jitnBFtkqJ6aO8d0Yo6h5eJ767H4w8LtewELU9d0I7Hl+zmUFW49WBnqYVumUZiVNEVtLzkGJZsj07TOxmRSERycjJms5mWLVvSv39/fvjhByoqwgvTAqdYrPR34PV6WbVqVaP7T6w0BxwOAjW1BF1OxBoN0rg4xMf8WuVy5NnZePbsafA6qs6dm3biv0GgqipKzB7fEaD8kUfJ/PBDPAcPRrVNnIhz9WqCNhtijSaqX1ialETCnXcQ8njwHDqEe+s2VB06oBkyBEcDdmYxI0YgiYtDoq7/M3qmCNTUUPflnIZ3BoM4fv4FxeUTm2QsX2Ul5Y88Wv+bI2D+/HNMEycKglZAQOAP06SC9tNPP+Xxxx/nwIED9UIQRCIROTk5PPTQQ1xyySVNOayAQBS+YKjR1gEAq6t+tRTCFdqHzsvDFwzy3e5KOqUbEAGzfjkcddzBSju3f7mNp8a0Y8onmwBIilFyuNrBqI6paOQSHN6wCLV7Ahg18gbHk0vFuACHw8GaoylUe/bsQaFQcMEFF7B06VJsNhuaPxsecIbw+XxUnRwBewKRCm0wSPmjj2H9+msIBBDJ5RguuYTYq65CFh+H1GQi4bapDbYdiDUatP36nqlbaBDnUeutk5EmJ6M/91wCTifyrCyaLV5EyO3B9uMP1Lz1dlS1NuT1IT5BiEqMRpKfeJyyBx/Cf0JMuFirJePddyAUwvH995Ht2gEDSLjrzr9UzAKEAkFCLlej+0/lnftHCdpsEc/ehnDv3oWiebMmG09AQOC/QZMJ2tdff52pU6dy7bXXMnPmTFq1aoXRGLYpMpvN7N27lzlz5jBp0iTMZjM33HBDUw0tIBCFTiklM1ZNQY2zwf2dMg2NnpukV/HCxR2psXsIBENMfHd9g8fVOrxU2tykGVUU17m4pHsGV3+4gcJaJy+N68h983dQ4/Dyzc4y7h6ey7ntkknWK/EHQ4hEMHdTMYvkElxQ78ufx+NhxYoVdO/eHbfb/Y8TtHK5nISEhEZF7bFFYQGrFeuiRZHtIa+Xug8+AL+fhDtuR6xSoerQgaRHH6Xy+ecjVU15VhYpL05H9hdHvYpP6hEVyeUkPvgAyrw8AmYzIYcdx5o1VM54GbFcjv7CC2i+ZDF1X3xB0GrFvWcv4hgdIqUSVbduuDZswHjZpVS//jr+6mqMEyag6duHkM+HSCbD+v0PJN17D8FbbyFgtSI1mZDExiL9G6zaxGoVyry8Rts8NL16N91gjaTCReai+mvFvICAwL+DJhO006dP55lnnuGOO+6oty8xMZHExET69+9PVlYWzz//vCBoBc4YCTolj49qyxXvr69XqR3RNolEnfKU5+tVMvQqGYW1Dh4amQciWHWgmq+2lESFJhyqcpBhUnHL4Byy4zUsubkvRbVOVHIJc6/vRa3DSyAYRCmT8OLyLeQfFdhquYQp/Vvw9SnSy6qqqkhPT8doNCKXN1zh/buQyWT07t2bXSf3WxJ+E3NsvqGTFrkdo272bExXXI48PR2JXk/MyHNRn9WNgNmMWKVCotcjS04+o/fQEKoO7cNiKxBApFCQ9tqrmOfOpfzhR8JRtRIJMcOHkfrsM5Q//QzqTp2w//wz3v0HECmVxE+dikgqhWCQ1GefofC6KShbtaJm5ixSX3ge67fLwv23gQCIxeiGDCbk96Ns2fIvv9eTkZpMJEy7j8KJl9drBVC0bo28WVaTjSUxGFB16oRry5Z6+0QyGYrcv/95CAgI/P/RZIK2vLyczr+j561z586R3kABgaai3OKm2u7B4fGTGKOkTUoMc67rydPf7GVrkZl4rYJr+zXnvA4pjbYAHKPC4qbU4uJQlR29SkZxnQu3L8DMyzpz55ztVNnDQq1dagzX9WuOUS1DJZdi1ED6Cb25zeI0FNc6GfHySmxHF4Wl6JV0zTKxv8JG4DccoKVS6T+uOnuM2NhYxo4dy+LFi3EdfVWtVqsZNWoUb7311inPVTRvTtDrxVdZCWIxdZ9+Su277xHyegFQdelCyrPPRC0ga2oCdjv+mhpCTidirRZpXBySuDiSH3+Msmn3Y5o0idqPP8Hxyy8nnBTA+vVSQoEgaa+8Qtl99+I9kg+AduAAREDFc8/jPXAAeVYmKU89CTIZxksuwbrka2zffXf8WsEgtuXfEfL7SXn66SYJijhdVHl5ZHz8ERVPPoVnzx5ESiWGiy4k9uqrkTWhXZjUYCD5iccpuPSy6FQ0kYjk558T7LsEBAT+FE0maLt06cJLL71Er169UCgUDR7j8XiYMWMGXbt2baphBf7jhEIhdpdZufrDjZQddR0Qi2DCWRlMHdKSd6/oissbQCwWkaBTRJngN0RxnZMpH29iZ6k1sq1NSgz3DG/FM9/u4aHz8nho4U4Gt0qgX8t4En6j2rvqUDU2jx+1XMIj57chEAzx8/4q5BJxpNWgoTmp1ep/dKCCXC4nNzeXlJQUHA4HIpEItVp9ajcGqZTkRx4hYDFTOvU2AmYzqm7dMFwwBuf6Dbg2hfuRXZs2UXTNtWR8+EGTCqlj+MrLKX/yKewrVoSrkTIZxrEXEzdlCrphw1C2bUvQZqNm5swGzw+6XNi+/z4iZpV5ecSccw5FN92EsnVrxDExONauw7r0G5KffQbdsKEUXHpZg9ey//Aj/traRgWt32Ih5PGE09HOcBSyWK1G07UrGe++Q9DpRCSRIImNRXwG3hAoWrQga95cHCtX4fj1V+QZGegvGIMsJSWyaFBAQEDgj9BkgvbVV19l6NChZGZmcs4559CqVSsMBgMAFouFvXv3snTpUoLBIN+dWKkQEDgNSswuJry9NmqhVzAEn64rJNOk5qq+zTGoG/6F7PEHqLJ6IoJTLZdw55fbosQswK5SKzNW7Ofcdikkxih5akw7vt1VzoMLdnJRl3Tap+lJjGn4l/CWQjMAz13Unrd/ORxJDwMwO8MxpnJF/XNHjBjxj7PqOpljdmONxvOe1CsZf8vN2L5fgf3HnyLbbEuXYl+xgtRXXqasoIBAdXjxkffIEXwlJU0uaP11dZTcfQ+u9Sf0Rvt81H36GQAJd96JsmVLnJs3N3i+WKvFdNllODdvQtO7F47VazBedinOzVtIf+01nJs3EbTaMIwZQ8jrpXL6i2S883aDK/qPEWggncxvNuPeuZPq11/HV1KColVr4m++CUXz5hFP3DOF1GQCk+mMjgEgT01FPn4chosvQvQbfbUCAgICv0WTCdqOHTuye/du3nzzTZYvX87XX38dZdvVsmVLbrzxRqZMmUKc8EpJoInYUWxp1LXgzZ8PcV7HFJL19SudVTYP7606zPur83H7gkjEIka2S+aqvs3YWmzG7Yv2Ut1caOaxUW1465fDLNp2fLX6sl0VtE+N4a3Lu5GkPy5MLU4vHn+QcV3TkYjgUKU9SsxGIZaQkZFBWVkZiYmJDB48mKSkJMRi8Z94Iv8cpEYjsowMfIWFiFQqFM2aU/XiS/WOC3m91LzzLoaLLoqqinoOHUbdqVOTzslfXR0tZk+g7ss5mK68Enl6OuIGvkyYrrgCVedOmOfPw19RiapjB+LvvReJRoOyfXtcmzZj/2Ulnj17qPv8cxStW5P86CPh1+oyGfh8DY57cuU16HRinjOHqukvHp93ZRWOlStJe/01tAMH/uabhv8nBDErICDQFDSpbVdcXBwPPvggDz74YFNeVkCgUfZX2BrdV+f04fXXN/l3+wLM+uUQ76w8EtkWCIZYuK2UKruHGwdmM335/qhzYjVyqmzeKDErEYvo2TwWk0bO2sM1DG6VQInZxewNRZRaXHRKN9IySUdecgxGjQKJWBSVMhZ33h2E/D66tUjkwovHQdCPVCpF/RdbNjU1n3zyCR6PB4VCQWZeHv7ycoJuD84NDQtJANfGjZgmRr+WV+S2xFdair+2FhAhjTUhjY8PL7z6k/jLG+/fl2g0hHw+fOXliFUqYi68EOu8eQDox4xG3jKHgNmMbtAgfGVlaAcOxLl2Lc5165HEmtANHkzC7bdh/2UldR9/jGfPHuw//4Jx/DhUXbrgWru23pjKDh2QnFQN9dfUUPXyK/UnGApR/vAjZLVpExXFKyAgICAgJIUJ/J/TJrXxxTQJOgUKaf3qT6XNw8drCho8Z/WhGq7u27xeYli/lvHM2Xg81WpYm0QmnJXBz/urMDt9OLx+Cmud3P7lNo5UO/AGgizbVUG8VsELF7dn0bZSpvRvwes/HoxcQ5nRHgBjdhwyuQKV/P9byAIE3W56ZecQ8noQqzVI4+MjbQP1UqhORCKJeuCGSy7BX1JC0VVXE7SGW0AkBgPJTz+FukePPx3DKolt+FW6pl8/jJdMoOLJp3Bu3IjEaMR0xeXEvPE6pfdNI3byVZgXLMCycCFBiwV1jx4o8/Kw/fAjzqMewubZXxJ/++1oevXEtWUz7p27sC5ehGnSlaQ89SQlU2/DvX17ZExlmzxSX5wefsV/At6ionpJZMfwV1URqKsTBK2AgIDASfzlgvbbb7/lhhtu4PDhw799sIDAb5CXHEO8TkGVrb5F1G1DWpIYU3+Bos3ti6R+NUSVzYNWLo04E0DY0eCXA9XoVTIePi+Plok6gsEQYzql4vEHkUvEyKViZozvyKFKO0q5hMIaJ2/8dJB3Vx0hJ1FHl0xjvSotwAWdU1HJ/9mvXT0eDx6PB5FIFPW6W6FQIJOF09F85eVUv/46lgULCfl8SOPjib/tNrSDBiI1GND260fls882eH3doEE41oQrmPLcXAyjzid//IQokRswmym+8SaaLfgKyZ+0upLGxyNv1gzvkePVeWlKCoaLLqL4xpvCllqAv7ycymefQ9O3L1lzvqTs3vtwndBX69y4EXmL5iTcfRe+4uKwA8LSpVTNmEH6229hGDuW8p0PE3SEF1fJU1JIf/MN/DU1+KuqkMbFhf8XG1tvjqeqQIt1OmHRlICAgEAD/OWC1uFwUFDQcHVMQOCPkmJQ8cW1Pbjps83sKQu3HyhlYm4ckM2wtkkNOwjIpfUqsCeSrFfiDYQFr0QsYmT7ZIa3SSLFoGRSryzmbCjCqJbz+JLdHK4OR98qpGKu6dsclVzC88v2AdAqSceLYztyx5xtXNYjk1AoxGsTOuELBPn1UA2LtpaSYlDSo3lY1Ljdbux2OzabDaVSiVar/dsXhvl8Pmpqajh8+DAmk4nNmzdTVVWFyWSia9euOJ1OMjIyiJFKKbv9jijR56+qomzaNJKffAL9mDFIE+KJnzqVqhkzosYIb78Vf3U1hnFjkcbFUfHkUw1/QMEgtR98SNLDDyFuxE3lVMji40mf+SZFU66PiFrjuLHUzJoZEbPH0PTti/68kYQcDowTJiBWq3Cs+hWxTkfqCy9Q98UX5F94EQSDiNRqjOPHkXj/NNy796Du1hV197MQyWSIj/bISmNjwwK2ETHuN5sJ+XzIMjIQ6/UET1gsJk1OJv7WWxHJZTjWrsVXVYU8I0Oo1AoICAgcRRQ6OaboT/LQQw/9ruP27NnD/Pnz/3H59CeSlpZGSUkJqampFBcX/93T+c9icfmosXtwegPoVTLitHJU8oa/g9XYPdQ4vHh8AQxqebjdQNZw1dPq8jH1iy38sK9+0lVmrJrPr+mBLxDE7vGjVUiJ0yrQKKQU1zm56dPNPHheHnVOHx5fELlUzO5SC++vzsfs9PHAua1ZuLWUHSVhMZKdoOXGAdm0StbxzsrDLNleRigEZ+cl0klWil4aRCUX06lTJzweD+Xl5axbtw6r1YrRaGTChAnEx8c33UP9gxQUFPDjjz/Spk0bli5dikqlonv37iQlJeH3+zEYDBw6dIjmmZm4rpyEv6yM9U4H3lAIuUjEWWoNkthYms2biywpiYDFgrewkLpPP8NfU4Nu8GC0/fpGpYL5a2oouPwKvIcONTgnZdu2pL/7zmklavmqqsKv76urkSancOS8847vFIlIfuwxvAUF1M2eTdBmQ6zXYxw/HllyEiGvF8uixbh37qx33eTnnkPRLAv7qlUEqqvRnX02iuzsU3qr+qurcWzYSO277xKwWND06olx/HjKHn4E9/btSBPiSX7qKcoeehh/aWnkPFlqCunvvociK/NPPwcBAQGBfwtNJmjFYjEGg6FxC5+jOJ1OqqurBUErcEpKzC6mzd/Bz/vDolMuEXNZjwyuH5BNvO6PV+ZOptTs4vpPN7Gt6HgVLM2o4sPJZ9EivmG/z/0VNnaVWthRbOGTtYWRKm6XTCO3Ds7hji+3IZeKuX5ACx5YcFzsLJvaj8veXVevLcLy7lWYqyuIiYnh9ttvByAhIYEhQ4awfPlyqqur0Wq1XHPNNcTExJz2Pf9R7HY7H374If379+frr79GJpMxatQofvrpp8jfC5lMRs+ePTEajcRv2Yr12WcZeOggFX4/iVIpP7bIBqD510tQtGgRuXbI7yfkDyBW1v8sgy4Xpffei23Z8gbnpR8zhqRHHv5TFdqG8JaUcGjY8EjfqmHcWEI+P5b58+sdaxg/Hv2o8ymYcEn9fePGIY2Pp/q116K2q7p1I3X6Cw1akPnr6qh4+pmoiGAAkUpF5qefYF22DGXLltTMmoVn/4F65ytyc8l4790GWxcEBAQE/ks0WctBixYt6Nu3L++9994pj5s7dy7jxo1rqmEF/oVU2zxc9/FGdpYc94P1BoK892s+cqmY28/ORS49PUurFIOKd6/oRoXVTWGNkyS9khSDqlE/WYBAIMi+chvv/ZoftX1TQR2PLNrFncNyuWfedkwnJJH1aG5i+e7yemK2eZyGneLwd0mxWIxOp8Nms1FZWclXX33F+eefz+zZs7Hb7dTW1v4tgtbtdlNdXY1YLMbtdjN8+HB+/vln2rRpQ+/evQkGg4hEIrZt24ZEIiG1W1eQyRAplWC3IzGZaDZ/XtilQCIhFAhELJpEUmmjvaJilYrYa6/Ftvy7+m0HYjGmSVf+aTEbdLnwV1dHwgqk8fFIjUZihg/HumQJALqBgyi68cYGzzfPm4fhwgvqbRfJZGgH9Kf4+vqR3q4NG7CvXo22e3eCdjsiuRyJ0YgkJgZ/eXk9MQsQcrmofGE6qS++iL+ivEExC+DZt49AbZ0gaAUEBP7zNJmg7dmzJ6tXr/7N40QiEU1UFBb4l1JudUeJ2RP5YHU+l3XPJM10+o4AcVoFcVoFbVJ+36truVTCJ2sLG9x3uNqBRi6heZwmEpgA0D7NwPd7Kusdf03PVKYe/W+pVEq/fv3QaDSsWrWK0tJSamtriY+Pp127dgSDQZYuXUooFKJdu3aYTCa0Zzg1Coj44IpEIlQqFQqFgr59+0aqxxCu0Pbo0QOJRAJ6PanTpyO66EIg7Kd6ZOw48PuRGAzE3XQTMeeeg9Ro/M2xFVlZpM54ibIHH4p2OXjqSWTp6X/qfnzl5VS+/DLWxUvA70es0xF77bUYLhhD/NRbcW3ZjK+klKDbVa+f9vhFfASPRv2eiLr7WThWrmrwFOPllxOy2Tly8dhwcIRIhKZ3b5IefgjHho2Nzte5ejVBh52Q233K+wq6nKfcLyAgIPBfoMkE7a233sqvv/76m8f179+fH3/8samGFfgXUlTb+C9oty+I3duwpdGfxesPUGnzUOvwIpeKManlJDRQqfUHw321jVFY6+SqPs2Yu6mIdql6JpyVQU6Clj7ZcXy9o4wFW0rw+IMoZWL6Zxvxer1A2EHg66+/Ri6XM3r0aFauXElVVRX9+/dn165d/PDDD5ExNm7cSG5uLiNHjjzjolalUpGeno7X6yU5ORmNRsPnn3+O6wRB5/P5WLlyJcOHD0ctlVLz5Ww4WnkNud2R1/gBs5mKJ54AkQjj+HG/aaYv1mjQDR6Mql07/DW1IDq6qOpP+tD6a2spuedeXOvWRbYFbTaqpk+HYADT5Mlkfvopzi1bkOgNp56bSoU0IYFAXR26ESPQDRyAOCaGoMuFY926qN5fRU4Oiuxsyk9cYxAK4Vi1isIrJ5Ey/YVTDBT+QiExGMP/HWzAmUMiQWI49XwFBAQE/gs0maDt0qULXbp0+c3j4uLi6N+/f1MNK/Av5MTErZORikWoG1ns9WcwO73M31LCC8v24fSGq3LN4jS8fklnWiXpEIuPuySo5VIUUnGjll/ZCVqqbB7apxnITtDy2g8HKLW4kYpFDG+bxJuXdWHq7C2MaZ/Eryt/irypOFYJ9Xq9LFy4kPPPPx+LxYLf72fPnj31xtm3bx/t2rWjTZs2TfYcGkKlUnHeeeexZMkS+vbtS3V1dZSYPUZSUhIOhwNCIbwFhacUq9Wvvopu0EBkycm/Ob5IKkWWkhK1YOzP4q+qihKzJ1Lz1lvEjByJPDUV/YgRYQeBZll4j+TXO1aRk4MsJYX099/DX1aGdfESSu+5F0lsLHE3XE/yk08QtNsJ2myY581H268vtY20YflKSgjU1iJNSMBfWb+KrxsyOCxWQyEMF16Iec6cescYLr4YidBuICAgIHB6gvbzzz+nc+fO5ObmNtV8BARIMagY1iYRiVhEmdnNliJzZN/5HVOI0zbNYiCAtYdreGzxbnQKKTEqKVaXnyPVDsa/tYalt/YlzXi8tSEhRsEl3TN4/6QeWoCkGCW5STrapugxqGXc+NmWyD5/MMSS7WUcrLRz34jW5BglqLxSFEf7QBUKBRdeeCE//PADdXV1uN1usrKyWLFiRePzXruW5s2bo/qTAQO/l7i4OEaPHo3FYqGi4njKlsFgoGvXrmRnZyMSibDZbJTY7ShmvERo0KBGrxcwmwk6HGd0zg3hzW/cKjDocEbNSRYfT9qrr1Fw5ZXhFoGjSBPiSX355XC/ajBI6V1349m9G3mLFiTefTeVL7yA50C411Ws1RJ7zdUo27XDm/90o2O7tm0j7qaboiu4gMRkIv6OO5BoNADE3XoLEpOJ2o8/JuR0ItaoMU68HNOll0SOERAQEPgvc1qC9tJLL0UkEqFWq2nfvj2dOnWic+fOdOrUibZt20YM1wUEfi/+QBCPL0CXTCPbiy30bRnHzYNzeO2HA8QoZdw9rBVqRdO8WKi2efh5fxVvX94Fi8uHPxgiQadkwZYSFm0rZfWhGsZ2PS5oFVIJU/q3oMrmYcn24xG4mbFq3r2iK5mxGiqtbp75dm+9sZrHaRjbNZ12qXpUUjiwYz/uo72RLpeLZcuWMWrUKBYtWkQwGEStVuPx1A+LOIbH4yHY0CvoJkYkEqHT6ZBIJLRvH0420+v1KBQKNm/ezPr160lOTqZLly5s376d5ORkTulfIpUiaiJ3gj+CNK6BKqZYjLZ/P2JGjEAkk+GvrY2kdimyW9Bszpd4Dh7EW1KCqkMHxGoNIhH4qqsJ1NRExGvC7bdRes89BMzmyKWDdjtVL80g9aWX0A4ZgqpNG+SZmfjr6rAsXBhJDJNnZKI9ewiK7BbUfvQRgZpatIMGohs6FHlqauR6srg44m66EcPYsYTcLkRKFdKEeMS/899Yf1UVQbcbkVSKNC4OkfBvs4CAwL+M01IG06ZNY+fOnSxevJg1a9awZs2aiJG9VColLy+Pzp07c9ZZZzFkyBBanGDbI/DvpsbuodruodziJlarIDFGQbzu1AlHoVCI7cUWLnlnLW7fcbGmkkn4+KqzyEnUolfJT3GFP4bHHyAnQcdNn22JtBFIxSKmDGjB9f1bsKXQzNiu0QuQEmOUPDmmHbef3ZIKqxu9WkZyjBKNQkYwGMLtD3BWlgmLqwKrK9w/OqJtEiPaJvHy9wd5bMluxCIYlhePSq3BarUiFoux2+0sX76cXr16kZKSQkxMDHl5eZSUlDQ491atWqH8CxKjLBYLa9asYcuWLfh8PrKzs8nLy+O7776LzM1qtbJ//34uuOACfvrpeCsFDYRaxJxzzt+yIl+Wmoo0Ph5/VdgGTqRSkT7zTQiFCNhseA8dImCzIW/RAmV2NmK1GllyctiNwGik8ulnwpG4BgP6MWPQDRpI+sw3qX7jTbwFBVFi9kTc+/ZiHDuWqpdn4N69B2lSEsbx4zBcdCEVTz2N+qxuSGNikHbujLJNG0J+P2K1usFAELFMhjz1j7VfBKxWnBs3UvHsc/gKChBrNBgvuxTjpZc2aCP2VxCwWglYLBAKIYmJEXqABQQEmoTT8qGtqqpi0KBBlJeXM3nyZFq0aIHL5WLXrl0sWbKE8vLyqH+Y+/bty3PPPcdZZ53VJJM/Uwg+tKdHqdnFrV9sYUN+XWRbdoI2UsVsjHKLi9Gvr6bcWn9Vd7JeyYIbepN4iv7aP8qOYgvnvdbwyvQZ4zoSCIa4sEtao+dbXF4Ka10s2lpCTqKOnAQtCqmYFbsraJ6gZXeplTkbi3liTFumfLIp4kB117CW9G8Zz6AueVRVlJGUnMymzVsw19YQHx+PRqNBrVZjNpt59913sdvtUeOqVCquueYajL/DLeB0sFqtfPTRR9TU1ERtl0qljBs3ji+//BKf77ijQ2xsLGeddRZDhw7FYrGQpNXyQ+rx56fs2JG0GS8hS0o6o/NuDPe+fRROvopATQ1pb76Bv7qaqpdmIJJKMYwbi7JNW2RJiSCVoswO++c6t26l4NLLolwPlO3bE3vVZKRJyYiVChzr1lH57HP1nBGUHTpgGD2a8kcfrTeXmPPOwzR5Eors7N9dZf2jhEIhrN9+S+ltt9fbp+nbh5Rnn41UpP8KQqEQ3iNHKH/yKZxHFxArO3Yg6aGHUObkCFVjAQGB0+K0KrS33347xcXFbNu2jYyMjKh9gUCAGTNmMG3aNM4991xUKhULFiygT58+vPvuu0ycOPG0Ji7wz8Tq8vHAgp1RYhbgYKWdqz/cyGfX9Gg0GKHG7m1QzAKUWdxUOzxNJmi9/iAfrjnS6P7ZG4t4/sL29bYHgyHEYhFWt48vNxahlEkY0TaJn/dX89TS3RhUcu4alkuyQYVRLadfTjy+YJDBrRJYsaeSR8/PIy85hq1FlkgBM+D347BZKSsrY/fu3WRkZJCTk4PBYGDy5MmsWrWKHTt2EAqFaNOmDf369TvjYhaguLi4nphNTEykc+fOiMVixo0bx6pVq8jPzwfC1VytVhtphZBotaTPmom/uhpFbitkyUl/aXU2FAwiEh/3K1bm5tJs7hx8lVUEnU7KH3wIVZcuxF41mepZb1H96mthS62+fUi8+24k8fFUPPEE0vh4DBdegDwzE0lsLP6aWiqeehp/RQVijRr9RReT+sLzlN59D6ETBL5x3FiqXprR4NysixcTd/2UMyZmAfyVlVQ+/UyD+xwrV+GvrPxLBa2vpIT8CZdERfq6t26jYMIlNFvwFYpmzf6yuQgICPz7OC1B+80339C/f/96YhZAIpFwxx13kJqayhVXXMHmzZt5+OGHGTFiBNdeey1du3aldevWpzO8wD+QGruHH/fVX7ENcKDSTpXN06ig9f1GT6g/0HT+xR5/gPzqxu3BSupcyI6GNwSCIUrMTpbvqmBTQR1tU/UMzUukU7qRj9bk88X6IlrEa3lxbCfWHa5BJhFz95ztNIvXoJSK2Vtu47wOKeSlxNA7O449ZTZW7K6g5wNzqHN4GJqXiD0gYd26dfh8vohV15VXXklSUhIjRoyIOIOoVKq/pDc9GAyy86Ro1759+6LT6Vi9ejVmsxm1Wk3Xrl3p168ffr8fp9OJRqPhl19+ITU19YxE9gY9nnAYwfLleA8fRt2jB+qu3SKv4oNOJ77SMiwLF+AtLELbry+aHj2QHe1HlSUnI1KrKb7hRkRKJXHXT6H4hhsJHbVQIxTC8ctKCrbvIPOLz1HktiL+5qEEXE7EMhkhtwd5ZiaJDz5Iyc03E3Q4qfvwQ7yH+hA7ZQrVr74amatYo4m0ODSE58BBFM2bN/kzijwru71B94RjuHbtQtmq1Rkb/0RCwSDWb76JErORfR4PNe+8S9KDDzaYHCcgICDwezgtQev1en8zwnb8+PE8++yzPP3003zyySd8/PHH9OnThxkzZjBr1qzTGV7gH4jDG6gX7nQitY7GFzrFahSN2mIpZWJiNU3XP6uSSeiaZWRjQV2D+9un6dEdXXy2q9TC+LfWRmy9vtlZzssrDvDi2A4crnYQo5IxuHUCHl+ACd3SCQGvTujEd7vL2Vth44peWWgVUmLVMiqtHmQSMQNbJVBidtEiXotKJuaNdSVMGj6SVSu+xeVy4fF4mDdvHldccQVarfYvTwo7ttjzGC1atEAmk7F06VIA5PLwZ2E0Gtm7dy9utxu3283hw4dRqVSMHz+eUCjUYC/onyXo8+Fcu46iG26IvN63fLUAiclE5iefIEtJxr13H67t2wg6nLi2b8dXWop5/lckP/kEiqwsIOyP69m/n5gRw7F89dVxMXsCAbMZ586dGCaMRxQMUfbkk/gLw6EaYo2auJtuIuWFFyi94w5UXbqgPqsbml69cO3YgeOXXwCQxsWd8n7EZ9hHWCSTN+5fC39ptTzodGL/+ZdG9zvXrSNgs/1uQRv0evFXVRGoqQGxBGlcLNKEhKiKvICAwH+L0xK0Xbp04ccff6SiooLExMRGj2vVqhXff/89AL169aJdu3ZRZvEC/x50SilSsQh/sGFVe6po2QSdgjuH5vLk0vreq3cNy220svtnkErEjOsWtuA6WUCLRXDjwGzUCimVVjc3fbYlImaP4Q0EeWjRLmZd1plNhWbmbirm/nNas6vMyo4SCykGFf1axtMx3cj1n24ixaDizcs6U1zn4u6527C6jwc0XN49lUeGNcNcW82QIUPQarVs3bqVw4cPR/Wo/pWIRCI6d+7Mpk2bAOjYsSNLliwhLS2Nnj174vP5CAaDJCcnk5SURGlpKRqNhoEDB3Lw4EE+/vhjrrvuOgwnLPgJWK0E7XYQiZAYjYj/4KI2f2UlxVOn1utVDdTWYl/9K4qsLKpnzsJfU0PCbVPRDT0bx7p1iFVq/BUVSPR6pEYjIpkMWUoKipYtqf3o4/oDSSSkvvwysuQkHKvCPdZpL76IN/8IpXfeRdDhpPLZ50h7axbps2bi3LIVy1cLMM+ZS8w5I0i88w5EKhUiuRxVp064tmypN4RIrUaelfmH7v+PIjEZ0Q4ciP3ov71R46tUKHJyzuj4UePJZEhPsQhNYjIhkv++Nw8BqxXrt99S8fQzhI76IktMJlKnT0fVpTNiedN98RUQEPj/4bQE7a233soFF1zA6NGj+eqrr0hqZLHH7t27MZ+wCjgnJydS6RH4dxGvVTC2azqfra8fEdu7RewpPWQVMgkXd00jK07N9OX7OVLtoFmchjuG5tIty4iiCQMVANKNKmZf24Pbv9zG4eqwD2mqQcUzF7YjKy68eK3W4aWwkeSyeK2CUoubt385zGfX9ODqjzZQVHs8eECrkPLKhI68OK4D1328mSqbl7vnbo8Ss9f1TqdrjI333p4Z6T2VyWRMmDCBTp06sXHjRuRyOa1bt0an051x39kTMRqN9O3bl5UrVyIWi0lJSaFTp04sXLgwknIGYbHboUMHvF4vdXV1ZGdnk5SUREVFBQaDgZDPh+fwYSqefRbP/gOoe3RH3aUr2sGDEPn9BBzOcD+xVIpYpULWyJdj7+EjEQFzIjHnnEOwppaiJ54EiYS0l2dQ/dbbEWssCF87dfoLaPv3R2oyEXfjDXj27kNqMuIvK4u6XsYH72NdtAjznLmRbVUvzcB4+UTSZr5J8ZTrwxsDASpfmoFn//7IcTWz3sKycBGZn36CLD6e5CefoPTeexFJJPhKSvBXVoFUStrLM04p8JoCiVZL4rT78Bw8iK/guA+vSC4n/Y03/lKXA7FCQezlE7E18u9+3LXXItX/vghq9969lD/0cNS2QG0thddeS/NFC4VeXAGB/yinJWhHjx7N1KlTmTFjBm3atOGWW25h7Nixkd5Ys9nMo48+yo4dO+jYsWPkPJ/PF85+F/jXoVZImXp2DmJReGGVLxBCJIJheUk8fH4ext9oGzCo5Zydl0TnDCNefxC5VExsEwYpnIhUIqZjhpEvruuB2eEjSAijWh5VRW6sr1ckgtuG5FBl9zBrYhdmbyiMErMAdo+fO77cxgeTziIrVo3V5aPSdrzlwr1uNjtKJSwvymfAgAGR7eeeey6rVq3i8OHDkW0//fQTffv2pWfPnn+ZqFWpVPTs2ZM2bdrgdrvp2bMns2fPjmozkkqltGrVitWrV3PgqC/rTz/9hEqlIi8vjxdeeAFvQQEFl15Gwu23Izr/fOw//4Jr40ZkyUmItVrcO3dS++FH+MvKkKakEH/LzWHhedLCt+BJbg/HiDn/PIpvvgUA3aBB2Ff9Gi1mAfx+Sm6/gxbfLEWekYG6Wzd8ZeXoL7gA967dx++5SxcCtbVRYvYYdR99jLZ3b2SZmYikUryFhVFiNjJUeTmW+fOJnTIFkUKB6fLL8Rw8hCK7BbK09PDr8fjf7yF7OshTU8n86EM8hw7h2rgJWVoq6m7dkCYl/eWuAvJmzYi/bWq9hXKGceNQder4u64RsFioeuXVhnf6fFjmzyf+ttuE1gMBgf8gp+1Q/+KLL9K2bVvuvPNOHn30UR577DFkMhkajSZSlRWLxTz22GORcw4cOEDC3+SBKHDmSdApmXZua67t1xybx49GLiVWK0en/P2/QM+UiG2IBJ2ShEY8ck0aBTqFFJvHf8LxCp65sD1bCutYvK0UsSgcbfv25V25e+426pzH2wTqnD7KrW765sRhdUe3Dzi3L+PznyrR6XQMHjyY1NRUEhIScLlcUWL2GCtXriQ3N5fUEwz3zzQqlQqVSoXb7Wbjxo1kHe1DLS4uxuPx0KNHDzZs2MChQ4ci52zatAmbzcbatWt57KGHqH31NRKn3Ydl4SKcJ8TPWr/+Gs2AAej6949USf2lpZTdex9xU2/FdNllBO12QsEgEp0ORev6C5jEGnXYA/Zoa4Zu2FDKjlXvRCJUHTsgMRjwHDqMr7AQ+6pfMV2SgdRoxHDRhQRqa3GNGY11wUJ0Q4YQe/31BKoqSZk+HevXX2P/8UdObAq3r1tP8mOP4isrx/7TT40+N+eOHWh376Zw8lVRKWTSpCQyP/wA8UnhEqFgEH9lJf7ycgJ2B7K0VKSxsUh0ut/1OZ0KWWIissREtL16nfa1TgeJXo/xkkvQDR2GY91a8PlQ9+iBNCHhd1dng2433qOuGg3h3rOHkNeL6C/waBYQEPhn0SRfYydPnkx+fj7PPvssffr0QaFQUFdXh8lkYujQoaxatYqRI0cCsG3bNvbu3Uu/fv2aYmiBfyhquZSMWA1tUvRkxWn+kJj9J5GgU3D/yGg3jqcvaMdDC3fy6g8Hya9xcrjawRs/HeKZb/bw1AXt6l3D4vIRDEGGSR21XSIOL5iSy+VcfPHFpKSkIBaLiYmJYcSIEUil9b9vrl+//i9JCDuZQCBAUlISBoMBvV7Peeedx9lnn016enqUmD0Rv9+Pw+XCV1ZG0GaPErPHcPz0E4hFyE4IDJAmxKNq146KZ5/j0LDhHBo8hJI77iTk9RI79dao80PBEKIT3vaIZDJCTifagQNJnzUTddeuSPR6TJdPJPXlGQRdx9tHJBoN8vR0Eu+5h+bffoMsPZ2Cyy6j6LoplD/0EPLMDJIffxxEImRpaaTPnIlEoaDqpRlYlyxBd/YQEu66s8EACePFF1N0w40E3W44oRLqLy+n5J578NcdX4wYCgRw79rFkQsvIn/8BIquvprDI86h4tnn8J8QvftvQKLToWiWhWn8eEwTJ6LMyfndYhZArFKhaN54S4GyTRtEQg+tgMB/kqbJEAViYmK46667uOuuu4DwL7OGfiG3b9+ePXv2/CUpRwICf4ZAIEiV3UMwBGq5hHPaJpFqUPHct/swqGRsLTRTXFe/l/NQlYP8agdtUmLYVWqNbM9N1PHq9we4tm9zLuqcytzN4YStYwvnRCIRX3zxReT49evXk5mZyahRo5g3b17UGE6nk2AwiPgvfKVqt9tZsWIF27Zti2zbvHkzOTk5NPuNfkWPx4NuyGAsp+iZty79Bu2gQdR9/AkAiQ88QPlDD+M7ISXN8csv5K9fT7O5c5DFxVPz5hv4yitQtGiBIjcXkUpFyOXCV1SM/uKLUbdvT9H1J7ghLFiINDGR9Lffqje+SCql9u23Mc89/qyDDge173+A4aKLMIwfj27wIErvvY/ACQLTsWoVMSPPJe6G66l+/Y3j1zu6ACrpgftBJCIUCCJWKjDP/wr799/j2X+AoN2O72i0cQgovPpqgpbjPzOEQljmzkWelUXspCujRPt/GUlMDPG33ELBZfV9zEUyGfrRY4R2AwGB/yhNJmjrXbgBMQvhX965ublnalgBgVMSCoUos7g5UGmjuNZFbpKODJOahKN9sxVWN7M3FPH+r0cwu3x0zjBy/zmt6ZJp5MPJZ+Hw+Ljmo00oZWJGtk+hWZyGWoeXRdtKqbJ5WLGnkh7NYyOCdmheIqFQiA8mnUWqUcU9I1rRMcPIpoJa3jr6JtvjqW9lVlBQQLNmzUhLS4tKq8vLy2v079aZory8PErMHuPAgQO0bduWlJQUsrKyiI+Px+PxMGPGjMgxSrUaZdu2WJd8jUgmQzdsKKqOHQl5vdhWfI9r82aCbnfYYgpQ5OTgKymJErPHCLndVL/1NsmPPoK2Xz8I+BEplYg1GlKefpqS226jbvZs0l55mfyx4467IRy1rvJXVFD5/Aukvjg96lV+oKYG8/yvGrx384IFZH76CbUffBglZo9hXfI1aa++GhHUAMZJk/CXlVH24EORvl+RQkHclClohgxB1SoX75F8HBvWY1u6FE3ffqROn07ZtGnhRWMnUPvOO+hHnvu3pav9E1Hk5pL89NNUPPFEpJ1DmhBPygvToyr9AgIC/y1O+zej1+vlrbfe4ptvvqGmpgaj0UiHDh0YPnx41EIXAYG/m1AoxJ4yG5e+szaqz7VFvJYPJ3dDJZNw++xt/HrouHDZVFDHhTNX88W1PejeLBYR0C3LyL0jWjF3UzHzNhWTqFcy7ZzWHKy0s6mglmAohE4h5caBLRjdKZUYpQz1UU9brz+ISi4hhAiZJPyqWtrI4pxt27bRrVu3iKCNiYmh+Rk04m8Ir9fLmjVrIn+Wy+Xk5eWh0+kwm81UVlYydOhQfv75ZzZs2IBGo4kEP0ilUjQaDdKWLdFfMAZFTg7WRYupmfUWIpUK/ciRmK64HM+RIzh+/hkAZZs8nOvXNzofx8qVBKzWek4I2n59abZoIZbFi3Hv3w8yGXHXXYuqbTuCLidilRr33j3UvPc+gbq6KEHrr6tr1KsVvx+xQoGyc2dir72GkMeDSC7HW1RM5ZNP4q+sxLllM6bLJ+LeuRP92LEoMrM4csEFUdcMBQJIU5IJ2myU3HQz/tpaVB06kHj//ZjnzqP84UdIfOBBSm65JWr4gNkclT4mEG5biBl5LpruZ+GvqUEkkSCJPepD24S+xwICAv9fnJagdTgcDB48mA0bNhA6YeHEsmXLeP7558nLy+Ptt9+mR48epz1RAYHTpdzi5or310eJWYBDVXamfbWTB89tHSVmjxEKwSOLdvHJVd2J1So4Oy+RyR9sjLQMHK52sOZQDdf3b8HUIS3JMKm4vEcme8qsLN1ZTqd0A2lGFXaPn4tnrqHa7kUqFuE4utBMLJWT0aw5hUeiF4K5XC7kcjkSiYS2bdvSv39/9H+g37ApCAQCkQpyx44dyc3NZdu2bZSVlREfH0/r1q1ZuXIlR46EY4TNZjNudzi+WKlUhh0ZVCp0g4dgWbIYaUoKYoMe74GDVL/xBsr27Ul69FGqZ7wMQNDlRqyNXgglS0vDeNllyFNTQSIh6K0v8MRqNcqcHBQ334zl669JfXE6te9/QPVrr0eOUXXqROoLzxMKnOQ7rDra2ywSIUtJAUL4SkoBkCQmIoqJQZaUiHXZMgKVlTjWrSf28svJ+OB9fCUlBNwedP37QSCASCql/Omn6wnk+BtuwPbdd9hXHPeEda5di3P9elJfeIHKgwfxFhSgaN0az57jPsyy1BRECiE962TEMhnilJSjn5eAgIDAaQraRx55hPXr19OvXz/uvfdemjdvjtvtZteuXcybN48FCxYwaNAgvvjiC84///ymmrOAwJ+izOKmytZwUtkv+6uwDW7caP5AhR1fIIjZ6eW1Hw42GByxfHc547qlU2nzYHf7yYzV0DxOQ7XDy84SKzEqGc9c0B6FVIzV7efyd2XU2sLRuoOHnE1VWQkFBQXs3r2bQCBAdnY22dnZ3HzzzajV6r8k8vZklEoleXl5KBQKkpKSmD17dmRfRUUFu3btYtSoUVitVspO8nM9hre4GPee3ag7dsRfVYV62jQkWi1lDz6Ee/t2/JUVpEyfjmvbNlSdOiJLSsK6eDGqLl0wXnIJipY5hLxefGVl4PVQ89YsjOPGIdZo8ezdi0gmRZGbiyQuDolKhapjRyqeeKLeIjTXli1UvzmTlOkvRG2XxpqIvX4K6k6d8Bw8CGIxyrZtIRAg6HYTtNlRtmxJyOlElJ2N6cor8VuteA4dImi1EvL68B4+HLbCCgbxHjwYdX2RXI6iVS5Vr7xS/+EEg1TPfBPjhPE4Vq1C1b5dlKCNv/XWv9QvVkBAQOD/ldMStHPnziU9PZ1vv/02apFX+/btmTBhAmvWrGH06NFcdtllbNu27TcXkAgInC7HemQPVzsoNbtomaAlxagiQaek5hSxuwD+QMOvnS/uksY57ZL5dF0hlTYPozulMaF7Jo8t3hWp9rZO1nHv8FZc8vZaSi3hCuWgVvGM65bBgwt2RvxnYzVy7hneipUHqrAdDViQEmDO558SCATIyclhwoQJLF++nH79+v3lFdmTEYlE5OXlER8fz6JFi+rtD4VCrFixgsGDB7Nw4cKofYFAAG9xMa6tW7H/9BPWr5dGLLAkcXGkTp9O5XPPYl2yhJTnnkN/7jkA+C0WMr/4HMcvK6l6cToBqw1Njx4Yxo2l+p130HTugr+mluKLxx631JJKSX7kEXTDh0EggGPVrw3ej2vLFkLOk4IyJBJARNF1UyAUQtm2LbKUVLz5R1B16oR1/jxCPj/qHt3xHj5M2SOPkvrss5gXLMRxQgqXbtgwEh+4H2W7djjXb4hsl2dl4t69m8bw7D+ALDUVsUZDyB3+ORFrNGE/XsENRkBAQOB3cVqCtqysjPPPP79Rx4KePXuycOFCevfuzYsvvsirrzZiiC0gcBKlZhcHKmzsq7CRm6gjJ1FHiuHUgQLhHlkrl727nlrH8SSrvJQY3r68ayT9qyE0cglxOgViERwrvopFcO/wVuQm6fj1UA3f7iynsNbJ7A1FtIjXMGtiFzYV1KFXyWidHMNNn22OiFm5RMwVPbO46sONUdXcGoeXe+Zv5+3Lu/KFUkq1NbwoTK1W06NHD5RKJV6vl0suuYRQKERdXR0qlepvcwXx+/2EQiFCoRCDBg1Co9GwY8cOdu7cGTnGbrejaOC1uFgkwvbDDwSqq7Eu+TpqX6C6muIbbiDlhRew//RjdO+jz0fl9BdxbTguCm3ffYf9l19Ie/UVSu66GxOg6dUTx6+rj02UsgceQNEmD/zR0bgnE7Bao/7s2bePmjffRJGTg/7CC9H06E7Qbse1cweFEy+PHFf32Wfohp5Nwm1TKb71VtJffz1K0NqWLUPZJg/jpZdS99HHkd7XkNeH+FRhGGIxIMJ42WVI4+MxXXEFEoMeyV8UviAgICDwb+C0BG18fDwWi+WUx/To0YPu3bvzzTffnM5QAv8hDlbamPD2uqj2gHidgs+v6UF2gjbq2FAoRI3dS5AQohBMen9DlJgF2F1q5bHFu3hidFsGtUrgh72V9ca8aVA2CTEKXhzbkdu+3EqLeC0Pjczj14PVPLl0DzFKGdf2a04wFOKxJbuZ3LsZ+dUOFmwppdLm5sLOqcya2JU6p5fNBXVUWN0s2V7WYGtCKAQr91fRuVMnDh3cT0pKCsOGDWPJkiW43W4uvfRSysvL2bBhA1arlZSUFHr27InRaET+F3psejwe9u3bx+LFi/H7j/b7isX06dOH3r178+uvDVdBs7KycDqddGnXDqnRRM0bbzZ4XNDhwFdRjnHChOhxj+RHidljhDweaj/6GMOY0dR++ilJ908DQD9mDCKZDJFEgnvPXjS9eoa9YUP1nz2AxGCI/HfAbqd61lvE3XwTEoORuk8+pvKZZ5BlZmK67FLib7+NqhdfihxvW/4dmt69kSUm4tq2DWW7drh37Ijsr33vffTnn0/6++9Retfd+MvK8Obno8htFXFbOBlt374EPW7UOV3rpaMJCAgICPw+TkvQ9unTh6+++ori4mLS0tIaPS4zM5OtW7eezlAC/xEqbW6u+3hzvV7XKpuHKZ9s4vNrehCvC1cDyy0ulu4s59O1hfgCQc5tl8xzF7Vn2lc7KTFH+8R+t7uC+0a05ukL2vHGTwf5Yn0RHn8Qg1rGLYNyGN0pBa1CxtC8RL6/oz9Wl48r3tuAxXV8AdLGgjoeGpnH4pv6sK/cRjAU4razWyKXwI4SK1d/uJFKm5v2aQZuGZzN1kJzo/epU4i5f9q9JCcnYzabyc/P5+yzz8ZoNLJv3z5+OiGFqqqqih07djBx4sRIUtdfQV1dHV99FW1nFRsbi0qlIjMzk7i4ODZt2oTZbI4sHJNIJDx8//306NSZeKMB9/bt4SSvRvCXliE955yobbblyxs93rF6NYaLLqT2gw+RZWWh6tyF8sefIGixgFiMdsAANN26EnPeeVgbaJFQ9+qJ1GSK/Dnk8SBv0YKQ10fF449HtvsKCqh48ilMkycTc+454XaJo1gWLUY39Gx8FRVIThKgAbOZUCCApmtXsr74gkBdHaFgAInRSPITT1A2bVrU8dKEBOLvvDMchyuIWQEBAYE/zWkJ2ltuuYU5c+YwZswYli5dSnx8fIPH7dq1C42m8de9AgLHqLV7OVRlb3DfwUo7tQ4P8ToF5RY3kz/cyO4TAgze/PkQ8zYX89xF7Zn8wQZOLI4GQ+D2BciK0zDtnNZc07c5Hn8QlUxCYowyktqlVkhJRMn0ZfujxCzA3cNyKax18sTXuwmGQCkTM6ZTKhd3SSPdpEajkBK0wtYiM5M/2Mgr4zvSLdNAZqyGHi3iUEjFHKq04wkEGdomAZlHxcIF83CcEI3asmVL8vLy6t17MBhkyZIlTJw48S/pqw0EAqw7aVFV7969MRqNrFmzhmXLlqHT6ejWrRstW7bEbDYztH9/WsfG4pwzB8/8r6hu2RLjuLHoL7wQy0kBEcdQdeyANCYmaptY2/i/FfKsLKQJiaS88DxBs4Xa9947Hi0bDGL/4Qd8paWkvfYqIZ8P56ZNxJw9BFlqKtKkJFSdOuGrqcVfVY1IoUAcE0PMsGEUXX11g+PVffwxqS/PiBK0QZsVsUqNLDWV2pMqyfLmzSOxtrLEBGSJxxd0SYYNRdW+HZYFC/GWlKAdOABNt27IkpMbvV8BAQEBgd/HaQnanj178thjj/HAAw/Qpk0bbrjhBiZNmkRmZiYQtvB54okn2LVrF2PHjm2SCQv8fmxuH9V2L6VmF1qFlIQYBUkxyn+0V6PLd+r+R5c3vH9jQW2UmD1Gpc3Dj/uqGJAb3VqgU0jRKcM/7gqphDSjut65x7C4fHy7qzxqW7M4DXqVjOeW7QPCXrQ3D8phzsYibvxsCyaNnMt6ZCAVi3l40U4yTGrUCgkPn9+GWocXiViM1x+gc6aB93/NZ/G2UprFqpk87GLMBbvZvinsvbp/f7gFITU1lZKTwgVqampwuVx/iaD1+XzU1tZG/tyiRQs0Gg2VlZUMGjQIrVZLXV0dK1euxG63M3DAAFIrKigaPyESaODetg3LvHmkvvQinoMHcZ8UziBNSEDZur54jxk+nJo3Z9bbnnDP3ag6dCDosCNNSUUkFpH5ySfYV62k+pVXIz2r0vh4EIuJu34K/tpaxBoN3gMH8RYWIVapce3YgWfXLgzjxuIrK0PTsychr7feeAAhn4+Q14tYr0fRvBlBhwN19x54iwrR5bbEV1gYPce77kIaF9fgtSQaDZLsbBLuvINQKPSP/nsoICAg8P/GaQcrTJs2DaPRyJ133snjjz/O448/jlqtRi6XYzabCYVCmEwmnnzyyaaYr8DvpMrm4cXl+/hiY1GklTBBp+C9K7uRlxyDWPzP/GUaq5EjEYsINNB7KhWLMGnkuHx+5mwsbuDsMN/vqeCKXllRgvbGQdmRNLDfw8lP54LOqXy6Lixe4nUKruvfgms+2ojHH+6JLLO42VW6m3PaJfHAuXl0yTRSaXPz+foiejY3kZukQyQSIxVDMBiiuM5FcZ2LlQdreOzcHLJa1JJ/KGz3tGXLFnr27FlP0AJ/mQiSyWSkp6dTeFSwnXXWWUgkEmJiYjCZTNhsNsRiMRdccAF+v59gTQ2ld99zPJ3rGMEg5Q8/Qtobb1B0zdUEHWGHAWW7dqQ8/xyy5PoJWLKkJOJuvCEqTjb2phtRdehAzbvvYbj4IhzLl2Fd+g0hnw/d2WeT/s47lD/2KHFTpiBNSKBm1iwIhYgZMYKQy4X1u+WIFUrk6Wmou3TGs28fxTfeRPLTT2H/9Vd0Q4Zg++67enMRazTIMjJJevAB3Lt2ITEa0Q4YgEgup+oEj1tpfDwJ99yDukvn3/V8BTErICAg0LQ0SYbm9ddfz/nnn89bb73F0qVL2bFjBw6HA71ez4gRI3jiiSf+8oSj/zKBQJC5m4r4fENR1PZKm4dL3l7L0lv7nrJC+XcSq1VwRc9M3vs1v96+K3plEadVID4hZashZBJxJOhDr5Lx8Mg8+uTE4fEHkUl+O+fdoJJxbvtkFm4tjWyL0yoifbmXnJXBGz8eiojZE1m6o5zbzm7Joi2lFNU5uWFgNhvza7nps63Y3D7Gn5XOo6PaYnH66D9oIEqfjZd+SGDhV/P53uelsLAQp9MZcQ3o0aMHbdq0QSKREAqFUKv/ms9NIpHQqVMn1q1bRyAQQK/XU1JSQmJiIhaLhfLychQKBSqVikAggCs2Fs1tU/HOm8+lP/9EnVpNYmIii596ioqnn0Ekl9Hsq68I2OyIVUokRmO9ntGA3U7AYiFgsxNz7rnEnHsu5gUL8BUUoh8xgvwJl5D8yCNUPv8C3kOHABCpVHgOHsSycCFpr79O9RtvYF20OHJN85dz0A4YgG7gAMoffgTbt9+iHz2KuCnXYf/+e6pmvEz8rbcQc/75xwWtWIy2fz+U7dqj7d+P6jdejwpEqHr5FVJfepGkB+4n4eabCPl8iLVapImJglAVEBAQ+JsQhUKNLAU+Tbxe71+6IrspSUtLo6SkhNTU1Ejs6P8TZWYXI15ZidnZcGTmG5d04pz2f2/CjtXlw+0LoFFI0Siiv1dV2z3M2VjEzJ8PY3H5MKhlTOnfgos6pxF3dEHYz/squeL9+ivhAaad04rzO6Tg8PiRScRsyK9l9sZiJGIRE3tk0iXTSOJvVGvzqx1c+OZq6pxe+rdM4Lp+zXD7g6w9XEO3LBNXfbixwfOUUjHzbujFT3srGZKXSHGdi2AIZGIRSQYlVTYPgWAIjULK+b3aUV5Wislk4tlnn6Vr164YDAZ27NiB0WgkKyuLQ4cOsXHjRlwuF5mZmfTu3RuTyYThhJX6Z4pAIEBZWRmbNm1Cp9PRoUMHvvnmGyoqKkhNTSUxMZH09HQ2btxIQUEBeXl59DvrLPI6dqS0vJwkrZZtTzxBzNChoNGgzMgg6HQSsNkQSSRRr+a9paW4tm7FsmgxytxcVB3aI01IQBwTgyw5meqZM7F9uwzj2LFUvPACsVdegaZPH4JuN1KjkaDfjzc/H5kplqrXXsW9c1fUvSQ++AB1H39CyOfDOGEC6t698JeW4dy4AVW3bsiSkiiceDnSpCQS77sX+48/4li3HolOS8zI8xBJxJQ/8SQcdXtAIqHFN0uRZ2Sc8c9BQEBAQOC3+UOC9rrrrqNz58506tSJDh06NOg9+W/g/13QFtQ46P/8T43uv21IDrcOafnXTegEzE4vu0qtvPrDAYrrXLRL1XPzoByaxalRyY8L20AgSIXNg8cfRCEVk6hTIDmhulptc3Pv/B2s2BNtwdUqScf7k7qRrFdRZnEx6f0N7C23RR3TvZmJVyZ0+k1RW1LrpNbpZcHWUuZuKsbm9tG9eSx3Ds3lpe/2s+pg/ZjcHs1N3DO8FbM3FOELBOmbE0+CToHXH+TOuduotnsRieCBYS24f8JAKsrLSUhIYMOGDZSWlpKcnIzb7SYYDKJSqTh8+DCrVq2KVJzFYjHjxo0jJSUFrVZbb/wzgcVioaioiLq6OvR6PUajEb/fj9vtRq/X4/F4CAaD5B85Qn5BAXfffTe1tbUkGY380q49/ro60mfNRBoXR82st3CsWYNEr8c06Uq0AwaCCCqeeYag2YLp8olYv/kGz4Fw2IDpiiuQJiZSeuddKFq0wFdZiX7UKKzffINYrUZ/7rm4tm8j6POjP2cEIb8fxGI8e/cR8vmQxseFK6gxMRAKEbTZqHn7HeRZWajat0Mco0fVoT0ilQoCAQJmC4WTJ6NslYv+/PMRa7X4q6vx5hcgTUigavr0yHNJeuRhjOPHN/rc/DU1hPx+xGo1Ep2u0eMEBAQEBE6fPyRoxWJx5JWaRCIhNzc3InA7d+5Mx44diTlpxfL/I//vgrbc4mbU66uosDacjPXelV0Z1CrxL54VOL1+Pl5TwNPf7I3aLhbB+5POon/Lhl0yjhEKhSi3uCmzurG6fKQaVLh9AV754QAub5Cx3dI5K8tEkl5JKBTiwzUFPLJoV4PXevPSzoxod+rV5ZVWN9d+vImtReao7VKxiPeu7MbtX26l2h69mOj6/s1RKyR0SDMyb3Mxy3aVEwrB0LxELu6aztNL93D74GZo3VWcM3QwZrOZ2NhYXn75ZTp27IjP50MikWC1WtHr9cjlcrxeL/NOcAlIS0tj5MiRJCY2/WdotVopLy+nuLiYuLg4MjIyUCqV1NTU4HQ6kclkfPvtt1RUVETOadasGUOGDOH9998nLTmZ++67j7LKSlLi4jj4009h79VQiILLJtZbfKUdPJj4qbdSescdxF43hdJ77jleBT1K8pNP4q+rw3vgAPKWOfgKCwn5A8gz0ql6aQaS2FhSnnka87z52FasAL8fRW4ucTfdiHXR4nArgUSCYezFaPr0QaxUYl20GMfatYi1WvSjRhEzYgTSWBOlDz6ItlcvvEXFmGfPJlBXhyw9HdOVV6Jsk0fRVVcjiYtDmdsS7aBBGEaPrvcM/TW1ONaspnrmLALV1Sjbtyd+6q3ImzVHovp7AjIEBAQE/u38IUG7YsUKtmzZwubNm9myZQsHDhyIVI6OCd3mzZtHBO6x/2/Mzuufyv+7oA2FQny5sYh75u2oty8xRsGCG3qT/BupW2eCwhoHg6b/3GDYQLJeyYIbezdaNQ0EQ+wqtTD5gw1RIvLCzqlMO6cVXn8IkQh0ShkahZQau4dL3l7Hvgpbg9fr1SKWty/vWq/d4UT2lFl4ftl+Km1uBuQmYFTLOFhpZ9HWUtql6endIo7p3+2POmf+9T2xuv3cNWc7VfboLxS3nd2Sns1MzNlUjMXlY96dI6mtqkCv17N582aCwSBff/01ZrMZiURCXl4eubm5JCQksH//fn788UcCRxddXXXVVaf0fv4z1NTU8OGHH2KzHX9mMpmMyy+/HJ1OR3V1NcuXL6eysn4wRevWrenSoQMGiYR2PXtSVl1NSlwcez75BGlCAojFONeupeqlGfXOTX/nbfyVlVS9+hr+srJ6+0VKJc3mzqHgiitJnzWLgiuvJPWF5ymecj0AKS88T9Wrr+ErKABA2b49MeeeAyIRqnbtKL3rLnzFJYg1GtLfeZuiq48vTjuGumcPkp94grpPP8VfWVkv2Qwg8eGHUbbMwb13L+4dO1D36oWybVukBkPE2zZgsVD54kuYZ8+OPlksJuP999B0737qD0FAQEBA4E/xhxaFDRkyhCFDhkT+7HA42Lp1a0Tgbt68md27d3Po0CHmzp0bEbnJycl06dKlXta7wJlBJBJxdl4idQ4vL39/MGKF1S5Vz8vjO/4tYhbgSLWjQTELYZeAOqe3UUFbZnFx6dvrsHmOV+8UUjEDchNYvruCWruXEOAPhjinXTImjZzgKb6rBUOhxoKkqHV4Ka518uWmIhJ0Cib2yMTi8jHju/3kJut47ZLOfLgmn5EdUlArpGwprGVoXhKtknRIJWLEYjHPXtQOpzeAWi5lY34toRBU2zyMfWttZByLK3wvCpWKUCjEzp07adasGaFQiDZt2rBjxw4WHQ0HaNOmDePHj+frr7/GZrMhkUhO9aj/ME6nkwULFkSJWQjbd3322WdcddVVBIPBBsWsRqOhU6dOHDlyhK3bt+M4WoUNicVUvvgSvpISDBdeiHH8OMxz5uArjnZvcKxdh/qsbg2KWYCQ242/pgbjxImEPG7UHdrjWLUKTZ8+GCdMQKzTknjXnQRdLhQ5OXiLivGVliLPzMRXXk7K9OlUPvc8ytxcat56u56YBXCuWYuvpBTN4ME4V60i9oYbcKxcGUkBEymVyDPSKb37HuTNsjBdcQWWrxZQ88abSJOSiLvuWhStWxOoqYkSs9L4eExXXoG8WTOCdjue/HxkSUmI/6YoYwEBAYF/K6flcqDRaOjduze9e/eObPN6vezYsSOqkrt9+3aWLFly2pMV+P2YNAom92nGyA4pmJ0+lDIxJo0ck+bv63uWSMQMzE1gZPtklDIJu8usfLmhKFLJFNUzyzrO1iJzlJiF8OIvhVRMtT3I93srcfkC9MmOp9TsQkSIS7tn8Mji3Q1eb3y3DLTK+j/+NXYPLyzfx+frjztEfLGhiOFtk3h+bAeq7R48/gC3DMpBq5RwWfcMumYaeWTxLrYUmpFLxJzTLokxnVJ5ZNEuzM6ws8EN/VvwxfoibhyYzeqD1Ww5oY3BH4CYGH3E59V0tNrn8/nwHhWHW7ZsYf/+/YwaNYrt27c3uduB0+ls9G2Ey+XCbrfjcoVdHhISEsjJyUEsFpOfn0/Pnj355ptvMJvN5OXkoFYosAIhwPTqK1SMHoN59mxESiVxt9xC2d33RF1frNM2GlN7IqZLL8FfVYUkNhZlXh7ShERK7747Eqwgb5ZFwr33Uv3GG3j27AHCLQ2x115D4v3TCHm9eI/kEzDX4dqyNXoOej1itYpAnTl8/VatwlXeQIDyRx9D0awZ5i/nIJLLMVx0EUXX3xBpjfDm51O4di3xU6eibN8uck1ZagpJjz5K5QvT8ewNt9mIZDJMV03GNHEi0tjY37xnAQEBAYHfR5PYdp2IXC6nS5cudOnSJbItGAyyd+/eU5wlcCaQHw0QSPuHJGpmmNRkxal5dMkubG4/XTONPHVBWz5fX0R+tQOjRtbouUeqHFF/jlFJ6Zhu5Llle/n1YE1k+54yGwu2lvD6JZ05Oy+R937Np7A2uiKXlxJDj+YNi4n9FfYoMQvQPk3PZd0zmPnTIb4/6m3bq0UsD5+Xh9nh5cI3V0cqz95AkAVbS9lcaObNy7rg8Pg5WGnnm53ldG8Ry+bCWgbkxnPXsJaM/kBGlR0kBKioKCc2NpYtW7Zw8OBBNmzYwLnnnovL5SI/Px8IvxEpKChg0KBB6Jp4kZH/pL7Vk/F4PBiNRsaMGYPdbmf37t2oVCoGDBiASqVi6NCh6DUaxN+tIGSxACAOBlGYLWTNnUP5w49gnj2bjA8/qHdt3cCB+EpKkSYm4j+hN/cYIoUCWWoqEp0OsVIZ7oNVKKiadn/Ucd4j+ZTecSdpr72Ga/s2FC1aIEtLw7L0G2rffhuCQaTx8cROuQ519+4412/AX12Nv7yc9DffoHTa/cROupKg2Uzp7Xfgr6pC2aYN8bffjkghp/CKK0m8716qZrxcr88XoOqVV2g2b27kz/G33UbZ/Q9E3VPI56Nm5iykRhPGyy5F1MSVdgEBAYH/Kk0uaBcuXMi2bdt46KGHItvEYnGDcZ4C/x2qbG6mfrGFzYXmyLYN+XVsLtzMG5d2Js2gJEHX+GvYdmnR6Vg9m8VSZnFHidnjY3mYu6mY28/O4Ytre7Bke9ilQCIWcclZGZydl0iSvv5Ybl+A9349HLXtsu4ZXNojkz1lVib3acYtg7KZu7mYGJWc3WU2umQY6JhhYGN+XdR51/dvgdnpw+sPIhGLmLupmF1f7+GqPs1IN6rQBGx43eGKp1QqJSkpiUAgwJVXXslXX31FeXk5y5YtY8yYMRFBC3Do0CF69uyJWPzbfrp/BJVKhUKhwONpeCGhyWRCLBazbNkySkpKSEpKolu3bixbtizShqDVahnZfwASgwEqKwmYzRRefjnShATib70V1/bt9V73x0+9FVlyMpK4OJIeeZjim26uF86Q+MD94fQvwhVOdbdukf7Zk9EO6E/Q48b6zbd49uxBrNGgHzOatJdfpuTuuxHJ5UhNJqQmE0G3G3lyCsq2bfAUFZFw222ERCCx2Yg5ZwSWhYtw79xJ0eTJpL76CoqcHKTx8XhP+DyiCAbx19aS9PhjSI1GJCYT0vg41F27IFIoce/cgWf/AQCqZ85EN2wosqT6wRICAgICAn+cJhe0CxYs4KOPPooStAICR6qdUWL2GIFgiJk/HeLdK7qe8vzcRB3JeiVlFjcA2QlavtkR7rk0qGV0b2YCRGzIr6XW4WX57nJuGNCCrDgNV/dpzoWdwwuoYrWNt1z4g0Hs7uNi6t7hrahzethebCFEiI/XFiCTiLi0ewZahYxtxWbeWXWEUR1SuHtYK579di87Syy8OLYDSTFKlu4s48uNxYzulMK9I1oRCIa4c8425kzuwOK5X6BWq7FYLHg8Hvbt20dSUhIKhYJhw4axdu1a9u3bh8/nQyaT4Tsa6yqXy5u8fxbCYnTQoEF88803UdtVKhXDhg1DJBLhdrtp164dUqmUoUOHsnHjxsgiNQC73Y4sGCRgNkc/18pKyu6/n+Rnn0EaF4e2f38kcXEYJ4xHnp6ORKdDAkh69qTZ/HnUvPc+nt27kWVkEHvNNShaNEd81CIw5PeD34/u7LMB8OzbFxlH3iwLbf/+FF83JbIt6HBQ98mnuHftJnHafciSkymbNg1/ZRUAumHDkDdrhmfnTmxH8lHm5aHp0R33kXySHn0E+8+/YJk3D8uCBSQ9+AChUFhUH4vZPTauvHkLYs49B19pGTVvvY2vuJiEe+8l/vbbscybj7+6Gv2oUcjSM6h44nH8lVWE3O4m+ewEBAQEBM6AoBUQaIif99VfTHSMLUVmnL4AplOcn2xQ8fk1Pbh9zlY2F5jJr3Ggkkm4/9zWJOgU/LSvilAIHji3NRaXjzd/OohcGu7JFYtFpxSyx9Aqwglhaw7XkBWrRqeUkmpU8f6vRyJiPFYj5+Iu6Uz+fAOVtuPVTKVMzEeTziIEzNtUzIFKO9kJWj67ujvrDtfwxJI95CXreO+KbnhEMPziyymrqsFcXUliYiKFhYXs3LmTLl26kJGRQe/evenSpQsymQylUhkRtD169EB5BhYUSSQS2rZti0ql4vvvv8disdC6dWsGDBiAzWYLi9Wjc+ncuTM+nw+TyURiYiJqtZrly5cjl8tRlpZwvdGEMxhEfVIVufbdd0l/5x1SX3kZkVRa73W7WKlEmZtL8qOPEHQ6ESkUSDSayH5vcTHmefOwfbsMkVJJzMiRyK65GsemTcScfTbyzCwc69YiiY8nUFUVdW3Xli0k3HcvFY89FhGz6p490fTuRdGUKWFrMcCxahW1n3xC6gvPU/HkU8RNvRX9+efh3LCBmrffRpqUTNqbb2BZtBjnxo0k3nsPAYuVUDAIIjHyrEyUrVsRM2wY3sOHqXz66cgcHL/8giwtjeQnn6TknnsR/Ut9vAUEBAT+Dpo8KWzSpEl89NFHUZWb/zf+3227/om8/cthnly6p8F9SpmYH+4YQMrvcF+oc3ipcXjxB4OIgOeW7eP7o+EKuYk6JvbMJN2kIl6rIDFG+buE7ImUml1cPHMNY7umcaTaQXaCjheWH68C3nZ2S37eV8nmQjMauQR/MITHH6RLppHx3dK5Z952jhk5SMUiUo0q7hqWy8oDVQxpncTG/BrOahZLIBgixaAgUaekpqyIgvwjtGzZkr1797Jx48ZIMpfBYCA2NpbPPvuM5s2bc84555zxQAWbzYbf76euro5vv/2WqqoqRCIROTk5dOvWjUWLFmG32xk5ciSxsbEolUqCwSAulwudz4d9+nTcv6xs8NrZP/34m6/ZAw4HQacLsVKBRKcjFAziLSrCs/8AIhF4i0uo+/gjRAolKS+9SNBswfbdd4SCAbT9+yONj8ezdy/ljz5GyONBmpyM8eKL0Q4ZjGf/fmzfrcD2/fekvfQSJXfdFVUpVeblYRg3FmlCQjjJTCSi9M678JWWHvfQFYlIevhhFC1z8B7JB0LYln9HyOdD278/qs6dCInFWGbPJuT341i1KiKiAfRjRqPt1w/d2Wcjkv67awpBtzvcp1xRAVIpsoQEpPHx//r7FhAQ+OsRBG0DCIK26TlcZWfQ9J8b3DexZyYPnpuHXPrbfaGBYIhqezg+tsrm4bqPN1FudXNuu2QGt05gxooDkUVg3ZsZeWpMe1ok/DEBWFzn5EClnf0VNuZvKonysn1rYhe+2VnOeR1SqHV4kEvESCViUvRKdpRYCIZgw5EashO1tEs1cLDSjkkjo2fzOJzeAL5AEK1SikQMh6ucGFRS4pVBvE47brcbtVqNSqXC7XYTCASQSCRIpdJw9VOpbHJ3g8YoKSnhyy+/RKlUYjab8fl85OTkkJubS2pqKoFAALvdzvr168nLyyMtLY1gMIjb7UYhkyH65RfqHn0scj2xRk3igw8hMRmxfbsMaWoq+hHDCQUCEAoh0esRx8TgPXKEmjfexL13L7KMdOKmTEEklVJ8080EamsBkGdnk/jA/ciSkvCVlhK028OtBZ9+invnLrSDBxNz3kjw+7F+8y36UaOoeest3Dt3IlKp0I8ciW7IEAJ2G6V33BmZo3HiZShatKDm7bfxlZRiGDcW/fnnE7BYCLo9iERQ88GHuLdtw3TVZDS9euErKcVfVYlryxYcv65GrNOR8vRTBJ0uLAsXIpLJ0J09hKDTScWzz4HPh0ippPniRcjT0/+Sz/LvImCxYFm8mMrnno98GRDrdKS+8ALq7mcJ1mUCAgJNSpN/TQ6FQjSxRhb4F5CoU/LMBe24d3502EPLRC3X92/xu8RspdXNvE3FvLPqCLVOLx3SDDw4Mo9VB6oY0CqBKZ9sinJ/WnekjotnrWHRTb1JM/5+IZhmVKORS6lzeHH7o7+YxesUxOsUXPvRRvzBEAa1jNcmdGbNoRp+2V/FeR1TuLRHFkaNjK+3l/HFhiLeubwrL3+/n65ZJkxqOYhAIZWgVUiIkcHir+ZRVlaGXq+nT58+hEIhli5dCkBMTAxDhgxBJpORlJT0lwhap9OJSCRi1KhRuFwuVCoVcXFx1NbWIpFIKCwsZO/evUgkErp164bf72fWrFnIZDLGjBxJktEIvXphWLKYkMeDr6QUiclI5TPP4t65E2VeHrqhZ1My9TY8+8PBFNLERBLvn4Zt+fJw2hfgKy6mcPUa4m+9FXWXLuHEL0ASE0PI7qB4yvVIjEZU7duDVIrpqquwLVuO7dtv0fbpA2oVhosupPjGmyItBSGXC/OcObi2byf58eOCW9G6NYrsbMoffgSAhLvuxFdSSsHEyyPninU6kh56EKvBgP78Ubi2bcX85RyCbjfaPr0xXX45iMRUPv985L4A7D/+iLZ/fxLvuZuKJ54k5PP9JyqU7j17qHjiyahtQZuNohtuoPmihShatPibZiYgIPBvpMkrtP8GhApt2JWgpM7F3gobyXol2Qk6kmOUiMWNe8X+FnaPn3KLm6U7yqiyuRncOpFWyTEkNRKmcCI1dg93zt3Oj3uje3FFIph5WReW7Sxj/pbSBs99ekw7JnTP+MPzPVhp46M1BXy0JpxAlWFSc8/wXG78bAsA47ulM7FHJluLzKjkEnITdXy+voAqu5ehbZJI0ClINah4YfleBrdKJMOkxuzyIRWJQAQ/b9lPil5Bq3glPy79CgCDwUC3bt0wm814PB5atWpFKBTCaDQiFouJjY1FegbFkM/no6amhg0bNmC1WunRowderxebzYbRaMRkMuH3+/n111/ZsWMHJpOJXr16kZycjEwqpTA/H3NdHXFqNd65c9EuW47EYMA0aRISnY7yxx4j/a1ZlNx2O5LYWMRKJd6iIkIuF4hEpL36CmUPPkSg7rhrhEguJ/XlGRRffwMSkymcLFZdjeRo64V1+Xd4Dx4k5pwRKFq1onDSZBTZ2cTdcD1VL7+Ce/t2IFwljjnnXOSZmfjr6tD06U3pPfcSqKwk6eGHqXnnHXwlJai6dcU4fjxVL76Ir+SknymZjGZffknFc8/iXLM2apc0Pp60N14nf8IlDdp6JT/zNFXTX0TZvj0pzz0b1R/8byNgtVJ0w424Nm5scL/xiitIvPsuwbZMQECgyRAEbQP81wVtqdnFNR9tZFepNbJNr5Lx6dXdyUuOOS1R+2fZVWLh3FdXNbivRbyGK3pm8dCiXQ3uH942iTcu6fyH5m12enH5Anj9Qca/tYYyi4epQ3L4fk8lO0os3DG0JWanjyXbS+mdHYdEJOJgpZ0nxrRl6Y4y1h6q4VCVgzGdUpnUOwu7x0+lzU2sRsGOEivVdg9PXNqfqooyYhOS+GreHDIzMvB6vTgcDnQ6HaFQiIULF0bSu1q2bMnw4cMxGs+csXBRURE//vgjsbGxdOzYkTVr1tCjRw98Ph9+vx+73U58fDwikQiRSEQoFGLXrl0UFxeTmJhIbm5uRJAnxMWx9ZlnIL8Af20tspQUJAYD0sQEZHHxeI4cJmizo2jVCl9RIVUvv4KqSxeUrXKpff+DqHmlPPcsVa++RsrTT1H12ut49u8nYLEgVioxTZ4EiKh+9VV0556Lfvhwql57jaTHHqVg3HgAtAMHYBw3HvO8ebh370aanIxp4mVIjEYKL7+C1BkvUfHUUyTccSdijRrntu3IEhOQJSVRPXMm7p3hny1pQjyJ9z9Aya23Nvj8DBdfTMBqwbZseb192sGDkcTFEXv5xH99ddJXWUn+RRfjbyBZDkDTqxdpr7+GWPX3pBYKCAj8+/j3v/cS+EPYPT6e+Hp3lJgFsLh8THx3HV/f0vd3Ld5qajYU1Da671CVgxRj43PKilU3KmZ9gSCBYBClLPxXodruYXNBHTN/PkSNw0vvFnF8OKk7P+2rxKCRU1znJM2oIilGiU4p465huXy3uwJ/MMTUwTmIgFSDit45cdw2pCUmrYLpy/dTYnZxTd9m+AIhthTWUm51RVpzZGJolZtLfn4+u3btwmAwkJeXx6FDhzj//POZM2cOXq+X/fv343Q6GT9+PJozUN2z2+34/X5SUlKwWCx4vV7atWvH3r170Wg0pKam4vV6+fzzz1Gr1QwcOBCPx4NKpaJnz57ExMTgdDpRHF29L5FKkQZDuMrKkCYmoundC1l6Ov7yCoIOB7KUFERSKY5fV+MtKiLluWcpf/QxYoYOrT85hZKEhx7EX1MTFo1mM7KUZDx79lI9cybxt9+Gsn17HL/8gmniZehGDAdApFYjS0khZuRIim68MeJx6yspoWTjRuJuvpnML74g4LCT/PTTlD/yKL6i48EaYo2GlGefoerV1/Ds24e6azesJ1mbnYhtxQrip97aoKANeb3EXXsNEqMRT34+tmXL8RYWounTG3XHjsiSk0/n4/tHIVapULRs2aigVbZrh0guj/w5YLPhr6nBV1KCRKtFmpiINDExEp8uICAg8FsIglYgihq7l293lje4r87po6DG8bcIWoNK3ug+iVhErKbh/SIREQ/aEzE7vRypdvDR6gJqHB5GtE2md04cX6wv5I2fDkWOK6gpZP6WYuZN6UWsVs5XSTo6Z5pQSsV8vb2Mn/aHV6+3TY3BHQgydtZa3L4ANw3Kxh0IsvZwNee2TyYjVs3qgzV8sLqAdJOKu4fmsmza0XQxr5f58+fTpUsX0tLScDgceL1e2rdvj8VioWvXrqxevRqA4uJi7Hb7GRG0FouFL774ApFIxEUXXcSiRYswn+ApK5FIGDVqFJmZmXTq1ImvvvoKl8uFXq9n5MiRzJ8/n9raWpzO8KK8YCCAsmcPHD/9FPZynT+frC+/xP7LL5hnzw67C4jF6AYPxnjJBFxbt6IbNgx/7fEvL9pBgzCMvTj8QQaCiFRqzF9+Gemz1fTqRcoLz1M9cxZJDz+Er6gI54aNKFu2RGIwEDtlClKtNpzu1cBC1erXX0d/3khkyUmU3nNvlJiFsI9t2QMPkvjgA5TecSehYBCR5BT93mJxozG+hgsvQBoXh2PlKopvuSXSm2uZNw9pYiKZH32EPPOPt8b8E5HodMTddCOOVfXfqojkcvRjRkfaDfzV1VS+9BKW+V9Fnp0kLo70mW+izMtD1MQhIgICAv9OBEErEIXHH4zYTjVEha3hJKkzTecMA1KxKBIxeyJD8xJJiFEwvls6X2w4LkjkEjEvju1A6knVW4vLx9srj/D6jwcj2345UE2yPrxw7d1VR/D4g5F9bl+Qhxfv4t3Lu/Lo+W2pc3rx+INc3iuLhBglX24s4oYB2dw1ZxsOr5+XxnZk8fZSZqw4ELmGSibhuYvaMyA3jg5pRnwhEe7A0QqtXE6Xrt0gFKR9+/aUlpby1VdfEQwGyc7OZuDAgRw5coSysnCQhNlsJjExsWke7FEcDgeLFi3C6/XSs2dPNm/eTE5ODjExMVitVnbs2IHb7Wbx4sVcddVVlJaWcskllyCXywkEAthsNnr06MGmTZvQqFTYbDZENhtVDzyIbvhwYiddiXPTJqxfL6Huww+PDxwMYvvuO/y1teiGno1u0GBK7r4bAMP48cjT0ii55dbIKnmRTEbczTcjTUyg7tPPcKxejSwri6QH7qfs3nuP2miFkRgMpL/7LgGHvZ5QPXF8z/79yLOzca6N7omVxMVhvPhiFK1ykaWlYbp+Ct6DhzCMH4f166UNXk5//vk4t2ytt13RujWqTp3wV1VRctttETF7DH9FBeVPPkHq9OlImjjW+O9CkZ1NyksvUvHoY5GwDWlKCqnPP4c8NRWAUCCAef58LPPmR50bqK6m8IorabZoYeRYAQEBgVMhCFqBKLQKKXqVDIvL1+D+nD9ogfVnMDu9lFvcfLe7Ao8/yNl5iSTrlbwyvhM3fb45SnCnGVVMO6c1qQY1945oxdV9m7O92IxGISUvOYZ4nQKlLHrhSbnFFSVmj1FmcTN3UzHndUhh7qbo3mmPL0h+rZNvtpehkEk4Uu2guM7JhZ3TGJAbj8PjR6+WcU67ZA5W2iLeuBB+pp3SDehVMpbvtvHGT4fRKaWIj75ODfj9pKWm4Ha7cTqdpKSkMGnSJN577z0OHjxIQUEB48aN4/PPPycQCJwRH1qn0xmJsG3VqhUAfr8fn89HSkoKHTp0wOPxYDQaCYVCJCUl4fV6CQaDBAIB4uLikEqljBk9msfuvRcIixXPwYNonQ5EajWqbt0IeX2kvd2HkNsFoRAikRh/TTW1H32MPCMDsT4G3eBBeA4cRDdkMEVXX4M0JYXYqyYjS0uLOASou3bBsuRrghYLEr2eqpdfiRKzAAGzmeLrp5DxwYecEqmU0EmRv5revTBeeik177yLv64O3aCBSFRqVB07INXrSX76KcrufyBKmMpSUzBedimEQJaQgHXp14jkcgzjxhMzfBiyxESsy5dHpYydiGPlKgJ1df8aQSvRaok5+2zUHTvir6tDJJEgMRqRJSREjvFXVVH73vsNnh90OHBt2yYIWgEBgd+FIGgFokjQKbh1SA6PLd5db1/3Zqbf5UhwOtQ5vMz8+RCzfjkc2fbajwcZ0TaJh8/L4/vb+/PtrgqK65z0bxlPu1Q9yUdbIAxqOQa1nOzfEN2NtVQAfLurnJfGdqwnaB8f3YbiWid7K2yoZRKu7N2MPWVWNhfWcU67ZNqmmLhxYDY2l59mcWFxvfZQNRO6Z+L0+FHKJASCIVQyCRaXj3idHNnRvl6JRILdbqeoqIhff/0VpVLJ8OHDmTx5Mps3b8bpdLJr1y5at25NaWkper3+zz7eRjnWz9u8eXPkcjlr1qxh586dBINBtFotl156KSKRiG3bthEXF0dycjIOh4Ply5czaNAgNmzYwJEjR+jZoQMipRIsFiQxMWTN/gLPwYPg9RGorkGs0yE1Gal+Zz72o72o2gEDSH7icUJeLxKDgYTbbyfgcFD24EPIs7JIfvYZgg4H/pJSkEpQtGxJCMj8/DNq33sf3cAB2L//vsH7kmdlEQr4SX/nbTj6ijtotSKSy7F//wOWRYtQZGcjkkhQtG2Dv7gEANPEyym66SZir7ySUDBI0bXXRa5ZBegvvICseXPDHqtuFzEjz0M3aGCkDzb+lpsxXT4RRCIksbGRXtCAzUajhELhaN9/ESKpFFlycqP9wSGfr15U8ol4Dx9udJ+AgIDAiQiCViAKqUTM6I4pSEUiXlqxnzqnD7lEzJhOKUw9uyVquYSiWic1Di9KqZhYbdiXtak4WGVn1i+H0atkqOUSqmwe/MEQ3+wsZ1ibJEZ3SuX6AadXoTyxneBk/MFQvQVkk3tnsf5ILU8t3UtWrJoHRuYx+YMNtE7WccfQXApqHGzMr6NVcriy9tiSPVw/oAVX9m7G9Z9spm1qDBd1SSNOK+fCTqlc2j2DGHmIHs+Frx8Ihti3bx/Z2dlMmTKF4DHP1FAIjUaDSCSiVatWkdAFs9mM1WpFpVKh0WiQyxvvL/69qFQqYmJiGDp0KDU1NWRlZSGTydi1axeXXnopixYtIj09nRYtWlBSUkJVVRXZ2dlccMEFzJo1C5/Px0VDzkb39dcEamrC92WxYF+5Enx+ymbeH+lhFSkUJNx9N4pmWag7dMS1cwfmL79E1bkzsvR0JHo9BIMomjcn/uab8FdWEvJ4kGSkI09IIGiz4SspJWAxE3vN1firq0l65GEQiaie9RaaHj2QmoxIU1Jwb9lK4ZWTCNTUoGiZg2nyVbi2bsU8dy6G0aPJnP0FIpkMf1kZhtGjEWs0yJs3x/bDD0gMBpRt21Ay9TYAlO3bI0tKxFdSgmXefLT9+5P2xuvg8yHW6aIWMIlkMqTx8fWfc7v2jX4GsrQ0xGc4Be6fhkiuQJqUhL+84S+ZyrZt/+IZCQgI/L8i2HY1wH/dtgvCIqvC6sbp9aOQSojTyXF6Any4Op+ZPx/GGwiLruwELW9e2pmcxNN/TerxB5ixYj/t0ww4PH4sLh9ZsRq2FZt548dD5Cbp+PiqszBpTk9AbymsY8wbqxvc169lHLmJMby98nhlaPa1Pbj0nXX4gyGeGN2WWb8cIlGn5IpeWdw5Z1tEIGsVUp4c0xaTWs66IzWo5FIGtUqgoMbBij0V9GweS06CjgqrmxSjir4dW1FXVU5iUgpLli1HEvDi8XjYtm0bfr+fs846i8zMTOx2O5WVlSQlJVFUVMSWLVtwOBykpaXRr18/4uPjmyRwoaqqir1797JhwwY8Hg/NmzenV69eFBQU4PP5CAQCpKenR9wMlEol4qMLdux2OxKfD7XLTadBAym3WklUKNj7+eeU3Tet3liK3FwS77uPoilToqJnxTExZH78ERKTiZp33qHus88hFCL5iSfwlRRj/mI2/qoqVJ07kfTQw9h++AHznDkErRbU3XsQe9211H78CfYVK9ANG0bs5En4zWaCFgtBm426zz7DcOFFmBcswHPwIJkffUjZ/Q/g2bcPVefOxF41GX9VNSGfD3l2NkGLmbovZhM7aRKurVvxFhUib9YcZZs8LEu/IWnafUgNht/9jANmM2WPPoatAaeE9Fmz0Pbv98c/uP9jQqEQlgULGvwZkSYkkDV7NrLkU0clCwgICMC/rEL7wQcfMGnSpHrb77nnHp555pm/YUb/v0jEoig3g2AwxLydJbzyQ3Tv6cFKO+PfWsvim/uctvuB1xekY5qRO+Zsw+45/up1SOsEpo/twAvL9uEPnP73rwyTmsGtEvj+pJAGlUzCtBGtcfuDFNc5idPKGZSbgFwqPtrvGiIxRkFRrYsHz83j1i+20j5NT4ohbOM1pnMqbm+AEJBu0vDmTweZsWI/n17dg0GtEpi3uQSHp5jRHVNJ0iuRHK0E+4JBNtbI6RonYdmiRbRp04Zu3brhdDoxm82IxWKaNWtGZWUlP/zwQ2S+hw8f5siRI0ycOJFmzZqd1jOx2WwsWrSI4uJidDodffv2JS4uDpvNRk5ODi6XC61WS3l5OVarFYVCgUQiwefzoVKp2Lx5M3v37kUkEuE7GvwgVioxf/ll+Nl26oRx/HhEKmW4lzI2lrKHH0GR3QIkUjz79hFyuxH/j73zjpKiwN72U6FznpyHGWDIOSpBJAliJqgoBsw5p13XnDDnLMZVESMqJowgQRDJIHly7JnOsarr+6OhYZbBNezubz+3n3M8x67QXV3dTL916973tVpR3G4QJeyTJmEeOBDV58P/xRft2grsRx5Jwx13tDPuD3z1FcHFiyl6/jkcRx8NaAQWL0FfUIAaCND22mtknH4a4fXrcZ10IpEtP9Oy145ryBCcM2fiW7QI84CBCDqZtldeQQ0GyLvxRnafdDLaHvcGAPPIEeRcdRUJvx9FTSBnZvyq8yw5neT+5S+Y+vej9YW5KC0tGPv0IeeaqzH26PGHPsP/HxEEAeuYMeRcdy0tjz9OIpg8x8Y+fSi47960mE2TJs2v5k8laPfy6aeftuszLEwPFfxhmvwRHvlyW4fr3MEYG2u9f1jQtoViXPrmTwe0BCza3ETnbCu3H9uLYExlTVUbZoNMpkVPpvW3V2szrQbuntqHb35u5rnvduINxxlTkc35YzpTkmFGFASun9ydTzc08PLySkoyzDx16kA+WFNHXE2KWjWh8dSpA1mxs5Xd7gAjumTRGozxwU+1qBqM6ZbNs7MG0+yPsLHOyyNfbkPT4Jh++VTkWnnzhyqUPVVuWYCJFXY0Qebkk0/GYrEQDAZxOBwkEgl8Ph8+nw+Hw8G4ceP4cj9hp2kan376Kaeeeiq2PzBM1NLSQk1NDVlZWRxxxBFUV1cTiUTQNI3ly5fTuXNnDAYDy5YtY/To0axZs4aNGzeiKAoVFRWMGDGCzp0788knn6DuaZkQDAYyzzkH1e8nEYnSeO+9qXaErMsuo+DeOUn3AVJy/lAAANd8SURBVEFEzs2FeAzJZkMNBvF9/jmSzYZ54AD0Xbog2u0ojY1ENm1CtFqRXBmE165F0OnaDVnJ+fkICY26v/4VtaUltVzfuTO5f7mB2quvoeD220AQsB8xkbZ5b2EeOoTMCy8EVUXQNJoeeABBkrAfcQSuMWPwfrAA66iRSW9ZSSL/jtuJV9dQfc65qC0tGCoqyLnuWkx9+iDZ7f/0XOuys8iYNQv75MlJKzKjAfnfGJbx347scuE69VTsEyeier0IRiOSy/U/fU7SpEnz2/lTCtpBgwaRlZX1f30YfyqiSoLmX7Ds2ljnY0KvP1ZNWbbT3U7M5tgM5NgNNPki9Cyw8+nGRt5atSrlctCrwM4TMwfSKeu3e7Lm2IzMGFzM2O45qAkNu1HGpE/+c9hS72P608vw71clfnV5Jbcc3YsMs46BxU5y7QZ2tYToU+RgYq9cdjQHuGvhFlqDMbrmWDh5aAkRRSUQU/GGYrx61lDQIBxTUTU4ZXgpzsdfZ0ejl9FdXGz7+WcKsl24XC527dpFTk4OkiQRDodTfbKRSITu3bvT1NTE+vXrU8fW1NRENBr9Q4J248ZkEtbkyZMBcLvdLFu2DEmS6NmzJyaTCVVVmTx5Mm63G7fbjcPhYMKECTQ2NrJ06VKKi4s579xzmdivH633zEFrqKfmkkuxjhuHa/q0pJcskDF7NsYe3Ylu3Eh40yaM3bsjyBJydjYNt91OIhYj9/rraPv762iqgr6omOjmLdgnTSLn2mtQvT7kDBeFc+agaRqiQU/bW/MJfvcdWeefR90NN7QTs44TTsA+cSIJv5/C++9D0OuRMjPxffwxiUAAY99+yJmZND34EMGvv07t1/bGGwSWLCHnumsx9uyB/7PPyTz7LALffNMuOCG6dSvVZ51NwcMPYT/iiFQvbbyxiejOHYR/+gldYSHmQYPQ5eYi6HQIothu2v9/HVGnQywsRJcuPqRJk+Z38qcUtGn+9ehlkUyLHncw1uH6vQNRf4Qqd/J2Y+dsK1dOqMAXiVPdGqJHvo1sq5Hvtja3s+zaWOfjtLk/MP+8Q8h1GPGG44SiCpIkkG01/KqUoax/qPC2BqNc/fbadmIWkn7vdy3czMtnDuXicV1ZU+Xh4S+3pUT+kE4uHprRj2+2NjOuew7PL96JPxInpiSY2DMPgyxx64KNrNjVyuTeeZw/uowZYwdjFFVioQCCIKAoCgsXLqSsrAybzYbH48FsNiOKYipq1uPxMGjQIDp16sSHH34IJG/bSlJ7a7LfisFgID8/H6PRyKuvvkpkT19rPB7HYrFgt9uJRCJIkkRBQQFHHXUUkiSxfPlygsEggwYNwufzEQqHKR86lJ5vvI7W2IT3lZcJfP450S1byL3+OhpuvgXbhPH4PvkU8+BBSBYr7qeeJhEOYzn0UHL/cgOJeJzqM2eTe+ON+D7+mObF92KbPBnncccRq6wEQDQYCK1cSdsbbyAYjWRfdim6ggLkoiJcM2eCkLSEsgwfnhSc+6WESS4XeTfdRGjFD8mWha++ou2VVyi4dw5KbS3RrVtT5yVeXU1s5y6MvXuBJGEeMBD3M892eA6b7roLc/8B6PJyidXWUn3W2cR2706tFwwGip97FvOAAQg63R/6vNKkSZMmTXv+lIK2V69etLS0UFpayjnnnMO11177iz/4Dz74IA8++GDq8V4D+z9CJK6iJjQshj/HKc61GblobBdu+3ATOkmgT6ETnSSwsc6HvOfxH2VQJxclGWZunNKDq+avpXU/8ZzvMDJnal+uemstzYF9leKq1hDNwQiN/gj3fLKF1VVtZFkNnH9YZ47olfebHRjagnE21Po6XBdVEvjCMRKaRiCqMOeEPhh1Eos2N/LO6hreX1PHrOGlCAKcf1hn1td6yLIaKMuyEFVU/nZ0T/SSSFxJIImgaBotbX4SUT+WPX2okyZNwu12s337drp27YrH4yEej5OTk4PdbmfHjh20trbSp08fhgwZwsqVK+natesfHgrr06cPZrOZ1atXp8SsJEmcdNJJGI1GVFXFZDIhyzKNjY189dVXeL1eevXqxfjx41EUBYvFgpZIoKkqibY2pEiYjNNPJ/vii2l67HESoTCO445DU1SMFRW4n32OyIYNqWPwffQRgW++ofSVV5KxqY0NBBcvxnnSScmK7q6d6PLyUJqbaXr4Ycz9+5N95RU0P/gQ7udfoOTFufg/+xzF3YJt4hGEli/Ht/ATjD17UvTIwzTedz/xykpUj4eGO+6g4O67qd7Tg6vFYjTedRfZl19O/V/+2u7cBL9fgrFXT+TsbKL7CdR/RGlqJhHwowYsNN51dzsxC6BFo1SffwHlHy74RW9VLR4n3thEZPOm5ABcn77oCvKRMzN/46f6n0MNBlFbWlC9XkSHEwENNRBANBiS7QP/xceeJk2aPwd/DrW1h/z8fG699VaGDRuGIAgsWLCAG2+8kdraWh5//PGD7ufz+aitrf2XHENLIMqWBj8vfb+LUEzl2P4FjOqa/X8SF/uvRBQFjulXQI7VgEkvsWJXKzElwewRZXTNtVLg/OP+tD3y7Vw+vit/+2BDOzELydCDOZ9uYfbITsz59OfU8rIsCy3+GLNfWpmq3ta0hbnx/Q0s3+nm9mN74zpILG5HqP/E9KNLrpVQLMHIrlnEVY0mX5iThhQzpW8+MSWBSS+R0DQuffMnThveid0tIb7d2szEnnm8/1Mtelnk+IGFJBLgi8TJMFswWYysXvsDZWVlKIqCx+MhKyuLuXPn4nQ6GT9+PFu3bk150Hbr1o3a2loGDBiAoiiMHDkSg+GPOT84HA6KiopYuXIlkKzYnnzyybjdbqxWK7FYjKqqKpqbm+nRowdHHXUUixYtQlEUAoEAO3bswGQyEQqFaGlpYVT//oRvvY3Y5s2IDgdZ552LlOHC0LsX0e3bkJxO0BKIDgcJrzd1HIlAAPeLL5J5ztk03jMH0WLGecLxRDZvxjP/bWI7dqArKkoGGCQSSHYHusICcv/yF2ouuhh9cTG2SZOoPvvsVOiB/4svcEybRtGjj5AIBhEMBqJbt6IlVIqefoqWxx8nsmEjSlNzhz2wotlMeNNmHMcdi6lvXzLPOxfvgg9ROrjwFXQ61NY2Avu1LuyPFgoR3b79oII2EY8T/vFHqs+/oJ37g2nwIAofeADdvzgh7l9B8gLjEbzvvUf25ZeT8PtoffW11PEbKioofOhBDJ07/x8faZo0af7M/Oltu6655hoeeughqquryT+IuXdHFdpEIvGbbbvcgSh3fLyZ935qL45LMsy8ce5wCv8/F7WeUIznF+/k8a93tFs+vkcOd5/Qh2zbHxe1a6o9HPfE9wdd/9xpgznnlX2T7Tcd1ZPXf6hie1Ogw+0/vWwU3fP/+aBOoy9COK6CBi8s3sm321rwR+J4wnEO7ZzJpF7JYS6jTuS+T39myQ43dpPMacM70bPAzmVv/kRc1bDoJa6c2I1DO2ewrSGAJxyjU5aFM15cybgeuUzsmcutH24iqqj0Da2lW4aIy2pi5sknUb17J3l5eeh0Ol544QUsFgvHHHMM7777bqpqCskWgyOPPJItW7YwYMAAunXrhiz/8WtTr9fLvHnzcLlcDB48GL1ez44dO6isrEwNpQ0dOpStW7cyfPhwJElCFEVCoRDLli2jqqoKm81GQ0MDfr+fUpuNMa++lnr+nGuvRS4owFDWicj69cSqqzF06YIWi9F03/0pg33RYqZk7lyqzj2PzLPPAqD5gQcPOF7XrFORnE6kjAzU5hZannySoicep/aKK1NRuXJBAfm33Yrv448J/7QGxe3GPHAgrlmn0vzgQ8Rqa8m/9RZaX32N8I8/UvjoI9Reelm71ymd9yZaNErLU08T274dXVEhzhNPJLZrV7v2A/OwYRQ9+ghKSws7pxx10POcf/ddOI8/vsN1sZoadh45JXX8//h+c665BvFf4Dv8ryIRjdL88CO0vvgixr59sR8xkab77j9gOykzk7K35x80YCFNmjRp/ih/qgptR8yYMYP777+fNWvWHFTQXnnllVx55ZWpx3t9aH8ru1qCB4hZSN4Wf3Xpbq46ogLdH+x1/L9kV0vwADELSReCI35uZvrg4j/8GlFF/cX1cbW9A0JxhumgYhZgVWXbLwpaTyjG4m0tzPl0C02+KFdO7MqUfgX0LHQgSwK98h2s2Ommyh2kNNPM9qYA04cUc8HhXXh9RRWPf72dMd2yuXhsVx76YivBmEq9J4QkZOIw63CHYkQVjYWXjiIaV7h03lqyrHpunlTOtDGzeLe1FZfLRa9uXejatSsmk4loNMqMGTNwuVwkEglmzZrFjh07WLJkCbFYjJycHILBIGPGjGHx4sUUFhbi/A1eqAfDaDRyxBFHsHr1atasWcOwYcPo1q0bGRkZxONxioqKABg6dCixWAxN0zAYDBiNRsaOHYvH4+Hdd99lzpw5+P1+cnNymDxpEuEVPwDg//Ybss+/gMqZM1P2TAD68nIK7ruX2ssvJxEMIRiMqD4/5kGDsIwahVJTQ+HDDyFIMv6vv8K74ENQFDzvvkfpyy8j6JPBCBnnnYfq9bYTg/m33oLS0oL1sMMwdOmCvrwc0WIluGwZOTdcT/Xss6i77nqKHnmEmk2bgPZ915kXXYhS30Dt5Zcnj7WsDENFBeFVP6IvK8M2eTL+Tz5Bzskh77ZbkRwOEuEIck42SlNzx+f5F+y5wmvWdChmATzz3ybjzDPRFxSgeDzE6+rwfbwQLRbDPnkS+pJS5Kz/7K19paWFtjfeAMA59QRannyqw+1Ut5vIxk1pQZsmTZp/G396Qfuf5K2V1Qdf92MNZ4woI8/x/6egjasJXllaedD1z363k8O75xwwZPVbybUZEYTkENY/YpBF5P1SvLrn2SjLsh50e+AXe5gTCY0vNjVyzdvrEAV49OQBvLWymns+2dfSYDXIvHrWUOq8YU5/8YfU68iiwJUTKnBZ9Ly2vJJZw0vRSQLH9i/k2P5FXPHWWpr9UU4ZXoqmaUSVBDaTnvun90MWBewGAd2ewSBRFNHpdCQSCdatW0dzczPDhg3jiy++oKWlBb/fT0VFBbNmzSIQCOB2u9mwYQPr16+nc+fOxA4igH4L8XicTZs2sWDBArKzs5k2bRrRaJRdu3ahKAolJSWsWLGCdevWEY/HcTqdHH300SQSCdauXYvX6yU/P59Zs2Zx5513AiCIInJFN9gjaDNOPpmaSy9tJ2YhGW/a9vfXcZxwAm2vvobjhOMJrlpF9hWX0/bmPLzz56PFYgg6HfajplB43700PfwIebfcTNv8+XjffRcUBcuoUdjHjcXYsyeRTZswDx+O5HLROOdelPp68m6+iXhtLYFvv8XQvTuIIiWvvUr1WWcT2byZ/DvvQM7Lwz5lCuh1uKZNR87JZveJJyHabOTd9DcEoxGluRktHkd2uci+6ELskydh6tMnJdbk3BxyrrmWumuuOeA8W0aNRP4Fd4P4L/Tva5EIxOMobW20PPEEba/9PbWu7dVXsYweTf6dd6DrIKHs34UWCqVaCySnE6Wx8aDbRjZuxDZ+3H/q0NKkSfM/xp9e0L755ptIksSAAQP+ra+jaVoqPasjkp6j//92d6iJBK2hgwsnbziOmvjj7y/TqufEwcW82cHFwTmjyulZYOe9Cw/FrJfJtOoxyCKHd8vmqy0HVsMkUWBgifOgr9XoSw6SAYzrkcuq3W18t22f3ZNZLzG5dx6RuMLH6+rbiWYloXHvZz/zzKxBvLe6hh3NQXJsRk47pJQHv0hOyd8ztS+vLttNTWsIWRJo8EaYNqiYeSurCERVNCF5cROLxfj5559pbm6muLiY8ePH4/F46NatG507d07dWbBYLNhsNgoLC8nLy2PevHn88MMPbNy4kbPOOgvXH/DtDAQCfPTRRxx99NEUFhYSDocJh8Pk5ubi9Xqpr6+nU6dObNmyBUmScLlctLW18fHHH2O1WikrK8Pr9fLmm2+mongTicSeQIqk2EmEwyT8/o5f/7vvKHrkEYLfL8Vx1FGIVistTz6VFKuAaUB/dIVFxOvqiVZWUvzE44TXb8Dcty+uadNIhEOobW0ora3k3XE7u085FedJJ9F4zxxi27dT+PBDuJ99DgTIvuwygit+wP3Ek8j5eRQ/+yyRHTuwHnYYksWC6b57YY+rRGTzZtTWVopeeB5R1uFf9AXhNWuRszKxH3UUoZ9+wjpmTDsRKQgC1sNGU/joozTddx/x6mpEiwXXzJNxzZqFnHHwEAbzL/yd0hUVIZjNRHfsaCdm9xL87juCS5YctJ3h34FgMiMYDGjRKIlAINn+0dra4bb6rl3+Y8eVJk2a/z3+VIL2iCOOYOzYsfTp0weABQsW8Oyzz3LZZZeRl/fvTZwRBIGpg4p4f01dh+un9MnHaf7v6X37RzyhGDElgW0/P9b9MepkJvXK49utHd9GHV2Rjd30x79ONqOOqyd2I99h5IUlu/BFFDIsei4+vAvH9i8g02qgyNV+ov/2Y3uzoXYpTfv55AoC3D+tLzm/4HLgjyopG7IpffK58f19E/cXHd6F3oV2vvu5mddXVHPx2K4YZJFbP9yIL7LP0uvDtXVM6JlHebaFCT1zkEWBb7c18ffZQ2n0RTl/TGfcgShtwTj9i50ktATnji7n3Fd/xBdJBgKYzWYGDx5M457qlqqqrFixAr/fj8FgoLy8HEmSiEajSWusPYlV5513Hh9++CGVlZUsW7aMiRMn/u5e2ubmZs466yyampoIBALU1NQQDAapqKigoKCARCKBqqoce+yx+P1+CgoKWLNmDUceeSSSJLF1j9XVyJEjSST2XdiFlywGkn2xiVD44AeQSCBlZ1Hy4lx0ubnEqqrwf/klxr59yb7oImI1NUguZ3JiPieHpsefIPjllxQ+8ADu55/D/8Wi5BCYJGGfPJmSZ54GQSS8ahXGvn2J7tiJ0tZG3s03UXvFFe2qxN533iXvzjsQ9rQDCXvifJMHLmEZcxiSyUT1OeeSCAZTqwJff0PG7DOJV3Q7oCoq2e3YJ07ANKA/WiSCIMtIWVmI/8SuS1dSgqGiop112F5yrrsWyeGgbb++ZCkzE8dRRyHn5hCvq8Pz9jtYDzvsF0XzvxI5OwvXzJm0vvgi3g8+wHXySbQ88eQB24lWK+Z+/f4jx5QmTZr/Tf5UgrZ79+688MIL1NTUkEgkqKio4OGHH+aSSy75z7x+no3h5Rks39m+QuEy6zh/TGeMuv++dgN3IMqqyjae+mYHLYEow8szOf+wzpRkmNDL7Y93dEU2eXYjDb5Iu+VGncgFh3XGpPvXfJ2ybAYuOrwL0wcXE1USGGWRHPu+qFhIuklUt4ZYusON06Tj9XOGUeeJ8NaqaopdJqYOKqLQaepQnO/FIIupdgWdJBKIKvQpdHDmiE7UtIW54LXVqW0/XFdPz3w7D8zox7mv/piq1ubYDBzVt4CVu1sJxVQ8oTgfXzKKSncQs0FGUTU+29BArSfCmSPLUNUEWVYDdx3fm9lPS0RIXgwVFRVRXl7O1q1b8fv9jBs3jpaWFqxWa2r4StM0wuEwgUCA0tJSmpqamDJlCnPnzmXDhg2MHDkS+69IquoIh8PB8uXLKS0t5dtvv03d1WhpaeHbb79FVVUqKirIy8tjw4YNrFu3jpKSEvR6Pe+9917qeeLRKHvloCwIWEePxtPYhFRQiKn/HkGj02EdMQIpI4NYVRXhVauQXC50ubnocnNRWlpQvF6KHnkEKcOFBkgeT9JzVpKRMjPJnDUL+5GT8bz9NoFvv933RlQV30cfgaqSceYZANjGjMH36Se4Zs6k+eFHDmh5AGi85VYsw4ah39MnvBcpw0XGGWfQdP8D7cSsrrQU+6QjEC0WBL2ORCSCaDxwKPK33v7X5eRQ/PTTND38EL6Fn4CiIOfnk3PdtViGDUOLx1H3uEK4Tj0F88BBtL31FvFFX6Av70zmWbNJ/AtaUH4tosFA5uwzUb1evO+/j33KFBxTp+J9772Uy4Scm0vRU08ip/tn06RJ82/kT+9y8HvYOxT2W10OIHkb+6stTby8dDehmMqk3nnMGl5KccYf8wn9d+AJxbj/8628trx9b6xBFpl//iH0LXIesE9NW4ifKj3odWKyxUDT6JFvpzjDjCyJB2z/76DJF+GyN39i2X4XDqIAD0zvx8ReeUTiKrWeMF9ubsKokxjfI4dcuxG7qX11zB+Jc+Vba/hiUxNPzByA3aRjR3OADLOeDIses0Hipvc3sqFuny/t2aPK+LnBz+JtLQzp5GL2iDIu3eNwcMWECvyROHOX7EpZiGVa9PzlyO64LHq8YYWNdV6cZh0DS1wcObw33pZG8vLyWLx4MW63m6ysLLKzs6mqqiIYDJKfn58avIrH4+zatQuLxUIoFCISiVBRUUF9fT1ffPEF55577u8WtD/++CO5ubmEQiEqKyuRJIni4mLq6ur49ttv0TSN7t27M3z4cOLxOJqmodfrkWWZTz75hNraWo449FBKKisZeOGFNMbj5MoyP5x1FrnXXYfkcIAg4Pv4Y0z9BxBcvhyltRX7lCOR7XYUvx9Tt27Ea2tpfvIpHFOOxDN/PqHVP2EcOIDcK69CcbcQWbcOyeFEV1KCZLcRr6lBbW2j7a23iKxbt+8NCQJlCxaw+4QTyLr4Irzvf0DOlVdS8wsXt0XPPI3tsMMOWB7Zto1dRx8DgJSdTcH99yEZjageL/HmZuK1tTiOORp9cTHCP1TI1XAEtbmJ0OqfSPh9mAcPRs7N/acV1EQohNLaihaPI5ot6HL39d22vfkmgW++xTx4ME33H+goUPjQQ9gmjD/gWP6VaIlEu0q2Ggigut2oHi+Sw46maSgtbkSzCTkrCzkn51cFnaRJkybN7+VPVaH9byDXbuTkoSVM7JmLqmm4zLr/WmeDJn/0ADELyQCBG9/fwEtnDiVjPw9XTdMIx1ReXLaL1ZUeADplmrn7hD7kOU3I/4G3qaoJFm9rZnND+17MhAZXzl/L1yUu5nyyhU82NqTWzfl0C5eN68qZIzq1a/uwGXXcdFQvNA0MskRVawgBgReW7MITjnPS4GIePnEAbaEYZr1EREkQiilM6JHL2hoP54wq5/J5a4irGkUuE/kOIw/t6Z8dXOrirFFlhKIqOknAIEu0+AP0yLdj0cv4wgqG/U6YKIqUlpYiiiJtbW3EYrGUaNXr9axYsQJN0+jZs2dq+5qaGurr6+nbty9Tp07FYvntEcAAkUgEnU7HunXrUj60e+nVqxeTJk0iHo/TvXv3lJg1m80oikIikeCYY45JXgBWVRP6+pukl6vbjeR04jj6aJqfeILcG25AC4cRTWbaXn0VfXk5jqOPIvD1N0S3bsU2YQKCKBL6YSX2iROoufAitHicjNmzsU+eRNsrL6O43ZgGDMDYqxdtb7yO5+13khXMnBwyzz0H86CBtL74UvLANQ0tHMJ5yimEfvgB65jD0LSD97hDMvigIwRd8jtj6NqVvFtvoem++wj/tAZIOjRkX3IxTQ89TPbFF2Os6JraLxEKEfjqa+quuy6VUgZgPXwM+bfdhvwL1VvRbEZ/kLAM62GHIefnU3vZ5R2ub7j1Vkz9+/1hRwGltRWlpSU1kBevr0ey2UGW8H74EZLVguPYY5Hz8pGsViSrFUr37W8oK/tDr58mTZo0v4W0oP03kfkHp/3/E/ywq+PhDYB1NV584Xg7QVvTFmbq00vxhff1kO52hzjl+RV8ePFIehU6/m3HGowqNPgifLGpgXpPhFuO7kUwqnDnws2EYkmx0D3PxpJtze3E7F4e+XIbY7plM6CkfR9zcYaZvx3Vk882NrC6ysOnG5L7XjimM4IoMOPZZbQGYwgCnHloJ6YOKqItGGPBRSOIqxoDSpws39nKsf0LeWNFFQCjumZxwsAirn5rLcE9xza+Rw7HDSjk1gWbaA5EOa5vLsJ+Q4I7d+5k69atdOvWjcLCQhYuXIi6RwRlZ2dz3HHHsXbtWj766CPKy8uRZZm1a9cCsGnTJoqKipg+ffrvqtAKQtJxYa+YFUWRHj16UFRUhKqqFBUVpYS2xWLBaDQiCAJVVVVs27aNQw89FLvdTkuXzmTedSfa558BoMXiuJ99joxZs0h4vVTOOg3V7QaSvZ9t898i55pkX6jS2IDS1Ihp0CA873+AFo9jP/YYzEOG4H7uOSIbNxGvrcX/2efIubnk33kHvg8/IqEoKE1NNN5xJ3k33YSxV08iGzcl34fVStbZZ9H6+uuYBwxAcbvRFRYi5+fjmj4d0elAaW7G+/Y7hNeuxdCtW4fnR3LYKXrqSSSbDaW5hczZZ+F55x0C33xDbOdOaq++huInnqDpkYcpnDMHLRJB9fvRFIXo9u1IDke7QanA19/g/fAjMs44vX2/7q9El59PvK6uXfDC/qgeD0pr6x8StPH6BmqvvRbXtGn4v/oK/2efpdbJ2dnk3XYrzY88ivu55yl67FEsI0f+V/njpkmT5n+PtKD9H0Yn/fItwH/8rf1sY0M7MbuXhAYPLdrKQyf2x2b812fUB6IKH66p44b31qeWvbyskn5FDh45qT/nvfojCQ2m9Cng1eVJUdklx8px/QtxmnVsbwrw7k81vLKskj6FjgNaI3zhOKWZFu5amHQ86FfkINtm4NYPk8JIEJKDZ95wnLs+3sTskeV8uK6e2rYws0eUccPkHhh1IoNKnHy/o4Wj+xbwxaZGThxSzLoaL5qmcdbIMhaur+eBGX0pdBrJNsJbV+87hoEDB1JWVpaqfJ566qmEQiHC4TAGg4GtW7dSXl5Onz59EASBeDzODz/8kLLsqqmpYfPmzQwdOvQ339oVRZE1a9YAkJWVxaRJk9i4cSNLly5Fp9MhiiJdu3ZlxYoVbN++HYCSkhKOPPJIevToQXV1NbFYDJfTiazXp3xUtXiMjFmzUFpbiTc0IJjNWAcMwHnC8SjNzSDrMHarIKaTcc99Eclux9S/P44pUxAlEftRR+F99z0EWUfmeechmk14F3yIqV9fkGWKnn6a0PJleN//gHhtLS3PP0/WeefScPMtmIYMRs7IQHI6cZ14Eoq7BdFspuiZp0HTiGzaTGzXLvRlZWRdmmxD6CieNRGJENmwkfob/pIKfhBMJrIuvBBdcTFtr74KqkrbvDexHnoo0R07iG7fgWS1IIgSkstJwX33JqNwd+zzcG596UXsU6a0ayX4LeytGh90/e8QyntR/X4a7rwTyWwmsnlTOzELyWSwumuvI//OO6m99FJqr7qa8o8+/MU43zRp0qT5d5MWtP/DDO2UcVAP15FdsnCY9v1oRuMqS7a3HLjhHtZUewhG1X+LoG3wRtqJ2b2srfGydIebwypy+PrnJiwGCW84xi3H9EIS4I0fqmjwRelb5OChGf1ZU+UhnkgcIGhFUWDl7n0VtLNGluMJx3jylIGoCY1QVGF1lYfvtjVz5/F9uPzNn+ieb+ecUWW8sqySU4aV8HOjn3pPmBOHlLC+1ks8keCkIcVMH1yMmtAw6kTOHFFGKKbgjybQkDE7s3DGE2Rk54EokZmZicfjQZZlTCYTBoOBzMxMRFFEEASWL1/O7t27ycjIYOzYsRxxxBF8+OGHqeNeuXIlvXr1wmq1/qbzq6oqoVAISZI47rjj8Pv99OzZk0MOOYS9LfaCIDB+/HiOOOIIRFEkHo+jqirNzc24XC50Oh0NDQ1EYzFyS0vRtmwhM6HRcPvtFD7+GLr8fPL+diMCAqrPi9LSgrFnT1pfepmE34drxnSQJGouvYziJx5HtNqoOe98Ms87F32nTiQCAfSlncg880z8336DFokg2mxYx47DPGwYoZWraHnsMSSHA2OfPhTMmYPkdBKvr6flqafwLvgwWdGUJBzHHYepXz+a7pkDgOXQQ8m6/LIOe07jdXVUn39+u5YBLRym+YEHKHjgAXyffILa0kJsdyVZl15KbOdOWp9/ntiuXSAIWEaMwNClC3l/+xtVZ5yReg7F3Qr/pAXil5CzsxDtdhI+34HrcnKQ/oDLgdraSuDLLymYcw8Nt93e4TYJvx+luRm5oAClro5YZeW/RdCqXi+JSATBYED+F4SHpEmT5s9LWtD+D5NtM3D9pO7cvceLdS8Ok46bj+mJY78hKlkSKXYdPLo3125EL/97hj4Wrq9jQs9cjh+Q/MHUSSJrqj28trySd1bXcPNRvfj65yYavWEePTnp41ndGuay8RW0hWI88fV2zn31R144fXCHTgyZFgPSnqrmMf0KsJtknvxmO1sa/PQptHP1Ed04Ka+YqYOKqPeGKXKZufjwLlz49x95YuZA/vLeBkx6iRun9ODk55ajl0XePGc4Czc0MKjUxcL19Sza3IReEjmyTz5DyzK47p21PPvOIjL0CrHWOj7/9BPMZjMDBw7EZEqeZ0VRkCQJQRDIysriiCOOQJZlFi5cyNtvv82UKVMoLS2lsjLZB703veu3otfrqaioYNCgQVRWVuJ2uxkyZAhbtmyhuroam81G//790TSN5uZmmpqayMjIoFOnTuzatYvly5ej0+no378/FRUV3HXPPQx2ufDddjvFTzyB6mkjuHQpcnY2upIS/N8vwT5+PI233U502zYAfB8vRN+pEwV33Zn0qw2FKH7+OTzvv5+MUk0kkJxOcm++CV1BAXXXXoeclUXWRRei79oV+9FHYT5kOLqsLIqfeRotHse3aBH+Tz5BtFgovP8+QqtW0frSy3jfeQc5KxPLyJEElywhuHQpuuJi5AvOR7+fvZ+mqrS9Nb+dmN0fz7w3cRxzDK1z5+I8+STUlhbqrr5m3xWiphFcsoTo1q0UPvoIpv79Ce+phJv690cw/f4obDk7m4I5c6i56KKUmwAAOh0F9933i+EN/4xEOAyahmAwkAgcPIVPqa9HzshAqatD+yVLtt+BGggQ3bKFpkceIbZtO7riYrIvvQRj377Ijn9fa1OaNGn+/yUtaP+HsRp1nDS0hOHlmcxdsotGf4TDKnI4qm8+Rf8gXiVR4JThpalb+v/IhWO6kGH59/QN98y3E1U0rpm/ryd1eHkGj508gKvmr8Wkl5g+qIhThndizqdb+GhdMm3JapAZ3MnFvVP78tf3NrCqso1Cp4mfqj1AcnAr22rAbpQZ1yOXZTvdnDmiEy2BGJeM7YrLrEMSBa6ev5bqtuQPdnGGiZuO6sm6Gi9juuXw0fp6aj1h7pvWl+veWYdJJ3HX8b1ZubuV8T1y2dkcoDTDgsOUbH14bvFO2oJR7j6+Dw6dxs6Na8nLy2PAgAHYbDaampqApMi02+20trZiNBqJRCKYTCZMJhNjx44lHo/j9XoZPnx4StD26NEjJYZ/C6Io0q9fP2pra1m0aBGnnnoqn332GSNHjqRHjx4IgoAsy2iahsVioby8HEVR0DQt1XJQXV3NihUr2LFjB6NGjUJwuSh+/DFiVVUIeh2G7j1QW1uJ1dTgmjoV/9JlZF14AbVXJCOn5fx8HCecgJSZhSAKiA47DbfdjqlfP0pefYWEP0Ai4EdtbUWfX0DhIw+jy81F9XjR/H7UQADJbCYRjYIsU33+BckqaTyOaLUSq60l86yzsI4dS8LrQ/H7sU2ahHP6NBBEAksWowUCaIlEsh1CUUCSSAR/QdC1uDF2q0DKysIybDiNd97R4e0OpamJyMaNmIcNSwpaQSD32mv+kDATZBnz8OGUL/iAtjfeILp1G8ZevXCeOANdYeEfchQQLRYEnY6EP4Chaxcso0ah71SG2taKd8GHqdYJfXkZnvfeA0HA8C8MTdBUlcDX37RLWlM9HqrPOZec667DdfJJHVqkpUmT5n+btG1XB/wR267/X4kpCeKqikknI4od/xgGowqfbmjgunfWoeyXCnbmoZ24eGyXf8sgXCKh8fKy3al+1v0pzTRz45Qe9Miz47ToeOzL7Tzz3U4seonrJ/fAZdaxucFPllXPiM6ZLN3p5pYF7Z/n4sO7cNaoMmKKSmswznXvrGNdjRdJFMgw6ziydz4VeTb+ul/ogk4SeOnMoTT5Ivztg40Eogp/P3sobcE4obhKKKpQnm0hGFO58+NNGHUy1x5RQedsG5IIiqrR4I/Q4IlQaJfIkmPIgobL5SKRSBCLxdDpdAiCkIzNjUaJRqMYDAYkSUJRFFauXMnu3buZOnUqH3/8MV6vl3POOYeM33mrORQK8dprrzFkyBBaWloYNGgQiqLQ1tZGQ0MDGRkZZGVl8eOPP5JIJOjduzeBQCAVWPLss8+iqiqiKHLRzJlEXn4Z73vvJwWl3U7WJRdj6t0H9/PPE1q1iry/3YjkdNJwx53kXHE5cm4u8ZqapPjctQuloRHLyBGEVq/Gevjh1F1/A3JGBq4TZyBlZiIajYTXb6D1pZeSlcKCAnKvv55YbS22w8cQ27mTRDyOvlMnEEXUlhZEo4no9m34Fy3CPuUojL17EV71I8GlSxEtZrLOP5/AN9/Q8syzqC0t6EpLybrgfGI7duB+7vnUuZKcTrKvvBIpw0V8927kvHyMvXtRe9VVRDce+D0FsB95JIaePfC+9z55N/0NY9++SH+gQrs/WjxOIhZDNBj+JVZdiUiE5sefwNizJ/qyToSWr6D19deRTEacM2agKQqtr7xKzhWXU3fNtWSceQZZF16IZLP9C95NMv5353HHk9jjt7s/gl5P+cKPD/ALTpMmTZq0oO2A/0VB+2sJx1Wa/VE21XmJxBP0KXIkq5ymX+6dbfRFaA3GiMRVMi16sqwGzIZ//uNb7w1z1KNLUole/8jfzxrKsPJMmnwR7ly4mW9+bubhkwbw6JfbWF+77wfRIIs8f9pgdruD7HaH+HxTA9Wtyarrm+cMo1OWlWlPL8UTinPJ2C6UZ1tp9kfJtOqxGmTmr6pulwI3Y3Axx/Yv4KyXV1KRY+XRkwbgj8axGnSomoY/rOCNxMm2GYjEVTQN3lhZxa7mIAOKnZw0tIRIXCGR0HAZRWL+NixmI6IoEggECAQC5OTksGHDBlavXs348eMpKysjGo2SSCSwWCz4/X4CgQCZmZno9XocDsfvrsz5fD4ef/xxTjvtNEwmEzt27KCqqorRo0enRLYsy+h0Onbs2MG3336bsuvq0aMHmzZtYuPGjfTr1o0uX39DYMECAJwnnoh15Ei8H3+M0tiAsW9frKNG0fLEE2Rfdx2CotJw551EN29OHYv9uGPJOvc8VK8X36efoDQ2YT9iInJeHrWXX4HS2Ii+rIyMM8/E1K8v4XXr9onUbhUkwuE9/aV+BJ0OQRIJrV5NeP16Mk4+mXhDI+7nnkM0GrEfczT6khLkzExUv5/Yzp34PvmE4PdLU9XW7CuvJLR8OcGlSzF0q6DgnnuINzZBPE50107aXn8DBIHC+++n+ZFHCP3wwwHnN+Occ8g49RQESUbOOnD47L+JRDhMdOdO3M89R/TnreiKi3FOPYHg0mV45s3DeeIMnDNm0HjvfbhmTMdyyCH/0mSy8KZN7D5h6kHXl/79NcyDBv3LXi9NmjR/DtKCtgPSgvZfh6Zp/Nzg59xXf6TOE2Z8z1x65NnommvlkPJMXL/QphBTVapbw2xt9CMKAtG4yovf7061DIypyOby8V35cF09G+u8dMq0cPzAQtZWebhrv77gIpeJ24/tzYpdbpZsb8Gilzm2fwEFThOaBsGYQoZZjyccJ9OqZ84nW1hd5UntX5Zl4fGZAzjzxZWpeN3ehXbOHllOWzDGyK5Z7HYHybDoMcgSakKj1hMix2ak0Rchz25kxrPLURMahU4Td5/Qhwc/30roy8cQowFsVjN33XknLpeLYDBIXV0der2ekpISRFFM3d7fG2vr8XhIJBI4nU58Ph+KomC1WsnMzPxdLQcAwWCQV199lWnTpjF//nxcLhcTJkwgFAohyzJms5lYLIYoioiiSCQSQRAEYrEYJpOJWCxGVVUVGU4nd1x/Pe7Vq8lwOnnivvuIrF2L0tyM/8uv0MJhBKORwoceRLDbaXvuOQLfJJO+RIeD/JtvRvX78C38BEEnY5swAYDGO+/CftRROE44Hi0eR7Jak60BQGTzFvSlJageD4133IlgMuE4+iishx1Gy4svkTV7djJxLBql6tzzyLvhBhLRKIZOnUjEYsjZ2SiNDTQ/+RSiXofl0EMx9upN3XXXoYXD6Dt3puCeu1F9PkSjiUTAT9ub8wh8/TWWw0aTe+11KG2txKur0RUWIpotND3wAKFly5Lvy2ql9M03MHb5192W/3ehJRIEvv2OmgsvPKB9Iueaqwn9sJLAd99R/tGHSE5nh84QvxbF40kO1O3ajehyoi8sRM7NJbptG7uOPe6g+3Wa9yamdIxumjRp/oG0oO2AP5Og9YXjeMNxNDQcRh0O83/WK7K2LcyUxxZTkmHm6ondWLi+nh8r28iyGjj90FKGdMrosFXBH4mzaFMjN76/IdU36zLruHFKTz7d2EC9N8w5o8q56q217dofJFHg/ml9eXlZJWuqPeglkedPH8xV89fS7N9nnH/dpG64AzFeXLo7mXgG2I0yd5/Qh3krq/luW3tHh87ZFk4/tBM3fbARgMl98pg5pIQ6b4RIXKU1GOOVZbuJKQluOqonOXYjP1W3kWUxMLDUxVebG9nS6OfUYaVc9846Hp7anaNGDaKhoYG8vDxWrVpFfX19SpgmEolU3G11dTUrV67EarUyfvx4VFUlEokQj8dZu3Ytbreb/Px8hgwZQn5+PtLvDPLYvXs3zc3NfPnll5xzzjk0NjZiMBjYvHkzgiDQvXv3lI0XwKJFi8jLy6N///58/vnnjBgxArvdTr9+/aivr6cgL49V519AdPNmdEWF2KdMwf/1N5h69EBX1gkQ0OIxUFVCq3/CNm4s/s8+o+31N5KOBKKI9bDRuGbNQpeXR6yqisBXXyNlZ2Pu3w/33BcJrViBbexYHFNPILx+PbGdu/B/+inIMoUPPYhosaC2uJPJW8Eglv79UbweAosWJVsiNA05J4ec665DcjmJbtqMnJeLaDSi+gO0PP00eTf+lab7HyD6888ACGYzmWecgWC1YB0xktqrriK2x84MQF9WRuHDDxNcvgxDWTlaLIqUkYEuPx85N/cPWWr9u4k3NLDrhKntfHP3IhiNFN53HzWXXELhww9jn3TE73+dpiYabrudwKJFqWWSy0Xxc88i5+VReeJJxGtrD9hPdDgof/+9PxwakSZNmj8f6aGwPymaprGjOcgdH23i223NaBoMK8vg1mN60SXH+h+LqV1X40EWBS4fX8H5r/2YCkHY1hRIDWFdPr6inaMCwPamAFe8tbbdsrZQnGvfWcfzpw3GE45xx0eb24lZADWhcfvHm7npqJ5cPm8Nk/vk8f6a2nZitkuOFYtBZs6nP7fb1xdRuHzeGp47bTCLt7e0K1DtaA6SZzciiQJqQuO8UeUYdBLzf6why6pn7ve7kUWBp04d1K7dYfqgIg7pnMmRffM5knwSCY1nZg3CLKlE9yRTKYrC888/z7Bhw9Dr9SxdujTldiDLMp07dyYvLw9Zlvn6669RVTUlaidPnkxjYyPV1dVs3boVg8FARkbG7xK1GRkZbN68mRkzZgBgNBoJh8N07ZpMvwoGgyxduhS3283AgQMZN24ckUiEUCjEpEmTaG1txe12k9gzda8JAvrjjsW3YAHhNWvwf7GIsvffQzAY0FQVbY8dE5qGrqCQyMYNaBoUPvwQvk8/wz5xArGa2qS367btqF4PtnFjcb/wAq3PPkv+3XeRCAbxL1pEIhzGcthhOI7pjf+zz8i77TbkjAw8b79NZOtWUBNknn02gsmILGdimzARyenC/8UX5N18Ew233Ep8v4tXXWEBhY89Tt6Nf6Xu+htSgRAAWihEy5NPknfnHbjnzm0nZgFiu3YR3bGd2O7dSWuwPV8kyeWi6MknMfXp/W+Npf0jKK2tHYpZAC0SQYvHQZYRzL+//zcRj9P68ivtxCyA2tZG1ZmzKfvgfQoefICq089oHx4hyxQ+cP8vJqylSZPmf5f/zr+qaf4wNW1hpj61FG84nlq2Ylcrxz+5lIWXjaIs6/fFpP5WNtX7OGloCU99sz0lZvfnxe93M3NoSTtBG4goPPLltg6fT01oLNxQz8lDimkOdBxV2hqMYdInBd3oimxu2m+gC2DawCJeXXZg5C9AXNVYusPN0E4ZrPiHJDVPOI7DpOO6Sd2oyLPx6JfbOKpvPm/8UMWTpwwky6rHbtTxt6N64IsolGdZiMRVdrtDaJrGpjoffYocOIw6GgIBDHsmtXU6HRdddBGCIBAMBunRo0eql1av16OqKnV1dTgcDgYOHMjWrVuRJInevXuzfft2vvvuu9Qxfv/995xyyimUlpb+JlGrqirxeJzy8nI0TcPj8WCxWKiqquLbb7+luLiY0aNHo9frOfHEE2ltbWXHjh3EYjGysrKIxWK8++67xONxwuFkb3I0GkXJy8N27TV4b76F3JtuAlUlsm4dck4OmqIgSBJKcwvu559Hi0XJPPts/J9/jvXwMcmErTVr8H3yKZqiYD3sMJBksi68iNqrriK0+ifybr0VLRhAMJkR9MnvUPFzzyK5XGixGLaJEzF064ahS1cEWab2yquIV1fjnDYN++RJ2MaNIxGN4jzhBNwvv5waRIrX1lF//XXk3XJLOzG7P+4nnyRj9lkEv/0W+1FTkHNyidfWJv/bXYnnjTfbn+O2Nqpmz6b8wwX/tUNNgvBPLnRFAUGvx9C5869+Tk1Vk+0hiQSCwYimxGl7440Ot034/UQ2bcI2ZgzlCz7A+/HHRNasxVBRgeOE49EVFPzXXgykSZPm/5b0X4Y/IWpC472fatuJ2b2E4ypzl+zkb0f1Qi//+6u0vQrsgMDjX20/6Dbf72iha+6+CelQXGFH88Htkna3BLEa//lXN89upCPDhmybgZq2g/tmVreGyLYd2AbRPc/GBxeNINtmwCCL1LSFGdcjlxFdsvhobR1T+hbw6YYGREFgdEU2b/5Qjcus45DOmehlkSKXCVkSsOs0NLNxn10pyWqooijYbDasVis+nw9VVdmyZQvff/89xcXFjBkzhoULFxKLxQgGg/zwww8MHTqUkSNHsmTJEgASiQTz5s3jggsuwPkbjOhbW1tJJBJIkkRLSwuVlZUUFhbSuXNnysrK2Lx5M+FwmGOOOYZYLEYgEKBTp07odDp8Ph9er5fZs2fjrqzk6SefxOfzYdDr2bRpEz0HDcJ21BREsxk1FMLQoweqx0vgq69pnTsXyW4n9y834P/qayI/b8U18xQEWcL7+Rf4P/s8ees5kcDz5pv4Fy2i6JGHKXr0ETzvvcfuGTMgHgdRxDZuHI7jj6P2qqvRYjGcp56Ka9pUJLuDRDxGrHI3+XfegdrcjP+rr6k66+yUx6xpQH8KH7ifumuuRW1rAyC6dRua0rEHLSRFr6F7N/JuuRnP2+8QWLwEQ3k5meedi2/hwg730cJhQstXoJ/23ylopQwXck4Oyh77uP0RLWYQBPLvuhM5K+tXPV+8uRnP/Ldp3XOxYOjWjZxrrsY+aRLed9/teJ/qagRZRl9SQvYFF5CIxZLDfX/AiixNmjR/ftKC9k9IMKrwzc/NB13//XY3vkicrD9gsxWKKXjDcURBIMuiRzpIC0OfIgeb6g5MM9pLRa6Vbrk2GrwRrEYJq0GHWS/RNduaciH4R3oW2HGadNgMMv5o+yjeIpeJKyckWxjOP6wzmRYDD5/Un6veWosvkty2qjVEtzwba/YMl/0j3fNsfLWl/Q/6oZ0zKXKZCMcSrKvxEIknuHBMZ9SExn2f/cxnl48iEFWwGrKRRBGzXuS4AQWIgkB1WwinWY9eEvCFVXR2I80hcd+xaxqNjY1YrdaU56vFYiGRSNCrVy8GDRpEIBDAaDQyY8aMlK1XNBrF7/fjcrmIRCKsWrUKSAYseDyeXy1o29raWLNmDUajkZycHBRFoby8nIyMDNxuN4WFhRQUFGCxWNA0DZ1OR2lpKYFAgObmZiwWCzk5Oei8XkoVhb3fBEFRGFZQQNRqxXHZZUg6HZFNmwh88w2Gzp2xjh6N4/jjqD7rbNremk/+rbfg+/JLvJ99hmPCBGyHj8E+YTyi3U5sx05qr7wyOURUXU1o9U8oTc1kzp5NIhTC//nnRLZuxdrmofS11xDNZuI11US3b0cym4k3NmLo0gXBYEDIz8cx5UiMPbrjnvsianMz4Z/W0DTnXrIvuYSG227bd3LUA6OeRbs9mQI2aiSxrdtouPXW1Lp4ZSWBb74h79ZbMA0YQPinnw7YP7K947sPfwTF40FpbCT4/VIEnQ7LiEORs7N/s5WWnJNDwb1zqDr7HFAUjH374pw2DcluQ1dYiJSVhex0Ihr2/e1QWlvRolGQJOTs7JTwVFpbqb/xbwS//Ta1bfTnn6k++xzy776LyMaNqb7k/TH27NXusaj/z/b9p0mT5v9P0oL2T4heFsiyHvxHwGXRo/udPbRqQqPKHeTRr7bz5eZGTHqJU4aVMmNwEXmOA/vqCp1mYvEEw8szWL5z3y18UYBbj+lNXE1wy4JNNAeiDOmUweXju1KWZeHScRV81YEol0SBWcM74bIYuP243lw+b01qXZHLxJ3H9eaGd9dT593Xe9en0M4Tpwzk/Fd/JBhTmb+qmusmd+eyN9cc8Pzdcq1M7pNPj3w7SkJDFAR2NPmZOqiI9TU+Ln59dUqISqLAfdP68NGlI1m5u41wTKU008ymOi9DyzLwRxRMeonSTAuqmsBu0iHtGfTKtZmwG3WESMbK2mw2JEkiFosRi8XYtWsXhYWFuFwuRFHEZrOhKEoqDWyvqN20aRObNm1iwIABHH300ako3L39uf8Mv9/P/PnzGTx4MNu2beOrr75Kfj6iyMyZM8nMzCQQCOBwODAajWiahqqqhMNhgsEgBoMBvV6PpmmImZlU+v1oeytpkoSgaVgiUfxLFhPduBFDly6YevWi6cGH0BSF/Ftvpfj55xBkGbWtDcvgIYhWC0gSmt+PYDCgNDSgy8uj5NlnUNva0JWWoi/thG/hQgLffYfkcJB7w/XIOTk03H4H8aoq9F26kDHrVMI//YTn3fcoePABlOZmfF99RcbMU5AyMzGazZTMfYFYZRW1V1xBdNs2pKxMBL0eLRYDUUTOyUG0mEkEQ9gmTMAx9QTUFjdaIoFpQH9anntu38nU6XAefxzW0aPRJIm8O+9AbWlBbfOgut3JAIRt2/7lllOK203TAw/gffe9dsuzLrkY16mn/qYAB0EQMA0YQPmCD4hs24ba3EzLE0+gNDYimM24TjqJjDNORzSZUP1+whs24P14IdZDhifjaTMz0eXmoisoQGlsaidm96fliSfJPPssGm65td1yXWkp+rJOv/kcpEmTJk3a5aAD/gwuBz/scjPjmeUdrnv+9MGM75H7u553Z3OAox9bknIe2EuvAjtzzxhCrr3jBJ8t9T6mP70sJQYvHNOZmrYwC9bWtdtOFgXePHc4PfJtLNrcxN/e35CqrGZZ9Tw4oz/DyjIw6CT8kTjbGgM88uU2tjcFuPnontz20aYO2wnGds/hlGHFPPD5NiwGiesn9aCyNchtH23CE4ozpJOLi8Z0wWnR0xaMsaXBx0tLd+OPKFw5oYIJPXIZ9+C37YbQzh1djs0o89AXW8m0GsixGfCHYzx72hD0ssjqqjaWbndjN0qcO6ozETVBIqEhi2CQBfr3qKCpsZ7cvHyWLV9BdeUuevXqhcFgoLGxEUVJvm+z2QyQ8p/V6XS43W7i8TgGgwGdTkdLSwt+v5/Kykq2b9/OxRdfTOavsFTatWsXn3/+Ob1792bRokUIgoDD4WDSpElEo1Fyc3OJx+MYjUb8fj8fffQRvXv3plu3bjQ0NKTcGXr37s34UaNQYzF6DxlCfUMDBdnZ7Pj+e5S2NrRgkNrLLkeLxZCcTgrmzKH+5ptxnjgD+9FHI2gaiUgEEhqCXofS2gZo1P/1RlwzZqAG/CiNTThPOB4NAdFqQYtE8H+xiMiGDYR++AH7UUehKyjA/fTTqfeXc/31hH5chfOYY/Es+IDsCy/E/dzz+D77LNluIMs4jjka1ymnsPvEk8i98a+oHg/Gbt0QdDp0xcVoioL3/feRbHaaH3ss2eIAIMtkXXABCZ+Pttdfp+D++/B/8QXh9RvI+9uNuF+Ym7Lu0pWUkHPFFYhWK6LJRHTnDnSFhRjKy5Hz8v7Q7XTfZ59Re9nlHa7r9OYbmPr3/83Pqakqnvlv03DLLQess44ZQ/6cewguW0b4x9XoCgtxP/00qscDgKGigoL77iW6cyd1e5LgOqL0769Rff4FJPx+AMyHHkr+bbf+1/YXp0mT5r+btKDtgD+DoG0Lxnh+yS6e+Lp97+opw0q4ckLFr0r1iqsJ3IEoCQ3Megm9JHLDe+v5YE1dh9vPPX0wYw8ilBMJjRpPiLdW1rB0RwtXTezGKc+v6HDb7nk2/n72MBwmHY3+KO5AFFEQyLTqybUZD0gy80fihOMqdW1hjntyaYfPKQjw1ZWH4TTrkUQBu0mHmtBo9EUIRRXW1ni5c+FmWvcEOPQqsHPNEd24/aPN7GgOMPeMwWxvCtDij6Imkj60PfJt7G4JUZRhJhRT2VjrpVO2hXy7kUhcpaYtRLbNSGsohtUgUeg04w7GCMUUChxGRg/sQUNdHWZnNtt+3owWj1BdXU1DQwMVFRXk5+cTi8Xwer0YjUaMe4bIFEVJ+dN+9tln1NTUkJuby4QJE1BVlW3btjFu3LjU9r/Ep59+it1u56effmL48OHk5+enqrt2uz0lqiVJQtM0JEli27ZtLF26FL1ez8iRI8nJyUkdo9VqpW/fvinbrk0vvoScmYmo15OIRkCSQBQRRBHRYiG2ezetL76E5HKRecEFyDYbiqeN8OrV6AqL0BcXU3X22RQ/+wxaNEpo+QrirW4cRx+N0tqGaDAk+zkFkgJVFHG/+BL+jz5Ci8UQ7XaKnnySlscfI+eaa2h5/HECX3+Tev+WEYfiOOZYpJxsRKMRKTOThptuJrR8z8WgwUDuDddjGToU/6Iv8X/5JZG17d03Ch96kMjWbcS2JVPIih57jIbbb0Np2neHQbRaKXzoQRrn3NvOFUFyuSh58UUM3Sp+l6hVPB6qzz6HyIYNHa63HXkkBffc/Ztv28fr69l1/AkpkfqPlC9cSN311+GaeQr1119/wHrR4aD05ZfYddzxHb+AKNL500+Slfk9lXg5IwPJbv9Nx5kmTZo0e0m3HPxJcVn0nDe6nOMHFLJ4WzNKQmN01yxy7Uacv8KLtsEb5uWllby2vBJ/VGFwJxd/ObIHipI46D7v/lTLmG45HUbniqJASYaFy8d35dzRZSxYW3/Q59nS4McXVsi0Gih0mih0/rJFkM2ow2bUsaH24L26mgahuEqZZd97l0SBAqeJJduauWp+e5Gysc7H5fPW8OhJA4ipCdZUe/j252ZMeompA4vIthnY1hxk7uJdVLqDdMuzc1z/AtqCMd79sYazR5WhITD7pZWM6ZbNKcNKmf70MnyRONdP6o7VIKeGwhwmGUGNI4giOp2OIUOGUFtby4YNG8jNzcVutyPLMnuvPQVB4PvvvyccDjNs2DCGDBnCRx99xFtvvcVZZ53FmDFjfpWYhWT11263c8IJJ7Bu3ToEQUh52QqCgCRJJBIJfv75Z0KhEGVlZXTu3JmKigri8TjxeJwlS5YwdOhQNE1j165dxPdUMBOA0LMH9bPPIl5TQ+Hjj6PvVAqJRHLiXZIQdHpyrrgCwWohEQ4Tq/Eg2h3YJk4EUURpaqL4macRJAlkGcXTlhSzjU34PvyQeEMD5gEDsE0YT9MDDxDZuAn7kUdS9MTjND30MIJAcjJfp0eLxvaJWUEg7+abiNfX03DXXYgWC46pJ2Dq25fMc84mumMHmbPPxDJsGEpLC/HaWgSdDuvYw8k843Tq/nojWigEgOe998k67zwqn34afefOxGpr2olZSCamtb788gEWX2pbG9XnnkOnt95CtydG+LegxeOobR3bbAGoLc1Jq63fKGjVQOCgYhZIWqiNHUvryy93uD7h9RJetw5jr15ENm48YL1t7FikzEwki4VfzhhMkyZNml9HWtD+ibGbdNhNOrrkWH/Tfk3+COe/trrd0NSq3W1Mf3oZT586kB+rPDT4IgfsZzPKHYrZuJqg2R9FSWiYdBLZNkPKVutg/B7v+SLXwYWvQRaxGw/86WwNRrl7v1Sx/fFHFFwWPee+sor6/Xpyl+9sZWy3bCb2ymPGkGIcJh3BqEKnLAuRmEpJhpmokqDOEyaqJLjw8C6c8ORS4mqCt847BFlIitjp02fQ1tqCw25Hp5MRBIEue9KkysvLEfcI3EQikUrl2utEMGbMGN566y3eeecdiouLmTJlCu+//z4///wzo0aN+tXnrEePHsTjcebNm8dxxx2HpmmEQqGUoLVarej1eioqKpBlGVVVU/ZiiUQCq9XKhAkTUslhRqORsWPHAmC3WIjJMlmXXYaxa5dkX2o8nrRxamlBEwQMJSXJAxEEBFlG0+tRg0Hc776LaDJinzQJz/sf4HntNSwjDiX78stJhMM03XcfrpkzsRfkIwgiweUryLrwQupvvgVNEpGyssi78a+ggaDXk3X5ZaAoCEYjWiSCc/p0NFVFkGUKH30EyeFAaWhAi0YRrVZKXpyL78OP2LVfBKvl0ENxnTYL9wtzyfvLX6i/8UYAlPp6EpEwaBqGzuVE1q8/4DybBw6g9ZVXOvwMlKZm4vX1/1TQKm43mqoi2e2Iey5YJJsdyyGH4Hn7neTjrCyc06Zh7NEdLR5HMBgQf0d6nKjXJ29rHOQGnmAwoCsuIbrt4ANuoR9Xk3frLew+6WRQ9g3X6YqKyLn+OiTLf8Y6ME2aNP8bpAVtmgPY1Rzs0AFATWg8+fUOTh5azEOLDvwhO2lIyQHLGn0RXl22m5eXJiu9nbMt/OXIHgwudSEKkOjg93JU16xfVUX+R7KsBkZ1zWLxP6R8AZw1sowc+4FtFtF4gi0N/tRjUQCjTiIUUzm6Xz6rdrdSlmWhLRQjEt9XnV5f5+OqI7px0d9Xs9sdSi3vmW/nukndOPvlVQwrz+SV2UMIRhWeOmUgnbOtiGJSIygJjQuvv4WEppFjltDiyeQvVVWRZRlZllMBBfF4PJXOJQgCHo8HWZaZMWMGTz75JNXV1fTs2ZOsrCyqqqpQFCUVk/vPsNvtfPfdd/Ts2RNRFEkkEhgMBhRFIRqNYrUmL4b0en2qWhuLJdsyzGYz8XictrY2dDodFosFg8HAk7ffji4QQG82o7W1QWkJgk5HIhJBABLhMLr8/OTwVTyO0uImvGoVhh49CC5fji4/H+f0abiffprd02eQdfnluE46ibY33iC2u5LCp56k4L57k44J336H75NPMHbvjmnQQAoeeojo+vVUnXEmCa8X2+TJuE4+idiOnajhEIUPPojS0oypbz/aXv874TVrCP24Gsdxx6E0NdL84EOIFjNZF1+MddQo/F98QWznTgCCS5eCQHKoS9OQ8/JQGhow9umNaEmeJ9Xrxdijx77vk81G5jlnI2dnU3DPPUgWC+GNG2md+wKJ4L7vzV6rsI5Q9tiMtb78Mgm/H8uoUWSecw764iJEo4GMs87C+9HHmAcNxHXKKbhfmIv76acRjEacU0/A1Lv3b07WkjIysIwe3eFQl2i3IzkcoCroCguJV3bs6WysqMDQtSudF35M4NvviNXWYhk+HGOP7uhyf18Pf5o0adIcjHQPbQf8GXpo/wj3fLKZp7/dedD1c08fzOyXV7VbNntEGZeM7YJrv1v6rcEoV7y5lm+3HehW8MTMAUiCwPl/X91ueYZFz/zzD6Fz9m+rKu+l0Rvm802NVLeG2NkSZMWuVs44tBOnH9qpQ5uyJn+EaU8tQxTgruP7YN9TbXWadegkkdeWV6IkNEZ0yWJDrZcXluwi32HknFHlvLBkF9ua9vnl2k0yxw8oYnyPbAocZkAjEk/gCcVxB6Pk2Y3UeMLMW1lNsz/K4E4uZo8ow717Ezu2bUVVVXJzc+nXrx9VVVVYLBacTidms5mmPb6gxcXFiKJINBolkUhQX1/P+++/T0FBASUlJaiqyhFHHPGr+zH9fj9z585lxowZSJKEoiiEQskgiIyMDFRVpbW1FZ1Oh8FgQFVVbDYbqqqmenmBdtVbnSSh8/vxvfgiga+/QWlsRLSYybn+BqTiIvS5uYh7nBFCK1YkK5tduoCmIZpMhFb9SHDpUuxHTYFEgoZbb6PgvnupveRSXKedhnXUSNzPP0+8thZD1644T5hK8IcfUMMhMs88k11TjkKLx3EcfxyGLl1oeuDBZJvDHqxjx2KbPIn6a64Fkh60jmOORd+5nITfT8Mdd6LU11P46COoPh9Nd9+Ndew45IwMYlWVOE86Ce877yDo9fg+/Yzy999DdDqpufAiIhs3UvzEE1RfeCGixULhA/fT8uRThNesSb2+eegQMmbPpvbKq1JtC2UfLsC4J5Ftf5QWN3U33EBw8eJ2ywWzmbK35mHo0gVNUYju3IXS3ET1eee3q4YC6Lt0oeSF53+ziIzV1FJ9ztnEdu1OLRMtZopfmIupT2/iDQ34Fy2i6e57DthX0Oko/+hD9KWlv+k106RJk+b3kha0HfC/Lmif+24ndy7c3OE6o07k08tHs60xwPs/1WAz6jh5aAklGeZ2YhZgY52XKY8u6fB58h1G3j7/ELwRhdeXV1LriXB492zGds+hyGX+Xcftj8TZ7Q7xwuKdVLWGGVTqZMaQYoqcJkz6g1csv9nSRKHLxF0Lt/DN1iY0LdmicOnYrkwfVMh321toC8boW+xEUTVWV7Ulq62CwFPfbGdtjZfjBxRwxqFl+CJxAhGFjXU+il1GJEnEopdBSFa4L359ny/pWYcWM3tYPjIJEokEer2eRCKBqqrodDpEUcRoNKYqtcFgkEAggE6nQ6/XI8sygUCAYDDIsmXLKC0tpW/fvuTk5PzqcxYIBHj//fcZN24c7777Li0tLeTk5DBw4MBU+0MikUgJV0mSUpXkQCAp5p1OJ83Nzcn3oNORa7GgrltPbNMm9MXF6IoKQdOI7a5EaW7CMnQYosNOZNMmJFcG+rJO1F5+Bagq2ZdeiqF7NxAEVL+fyObN6LJzCC5dimi1IlnMNN13f+r49WVl5Fx3LbFduwn9sAI5Lx/7kZNRmpowdOlCdNs2YrsriWzcSHD5crQ9KWbZl16Kf/FiXNOnkYjGiO3ahdLYiNLaSsbMmQS++5Z4fQO5N1xPvKYG38cLidfXY+zRA+f0afgWLUL1eLBPmoSpXz9EvZ5YTQ01F16EvqwMy/DhqAE/gS+/aidm92IZcSjG3r1xP/MslsMOo+C+e5E7GIgK/fQTlSfP7PCzs4w9nMJ770WyWlF9Pmouv4LQ0o6HIoueeQbbYaN/9fdiL/GmJmK7dxNetx59cTHG3r3Q5eUle5qBWG0tba+8Quurr6UuGkS7naJHH8E0aBCiLt0hmyZNmv8MaUHbAf/rgnZnc4CxD3TsH3nGoaX85cie6GWRRELrsGd2L/NWVnHdOwf2E+5l0ZWH0SXHiprQUBPaH0oui8RVFqyt49q317VbbpBF5p07nP4lrnbLm/1RqlpDrK5sI9umJ9tm5LGvtrF8ZyvTBxcxfVARkijQ7IviDsYoyTRjkEVCMZVr5q+lLRTHIIvcN70f2xp8jO2Ry2vLK+lT5KB3gQOjXkISBTbX+fixso1ueXaybXpu/2gzbaEYL53ahyJbsk9V3ONNq98zuBOPx9HpdCiKgqZpSY9XUUQQhNTjvdtomobf70/50hYXF6ee59egaRoNDQ3MmzcPr9fLhAkTKCsrw2QyoaoqkiQRDAZTwlpRFFRVRRRFDAYDgiCgqiqJRAJN04hEkr3GkqZhrKlB5/Fg6t2b6NatCKKEmOFC1OkIb9gIZhOmLl2S4kinS/bQKgpoGpqikAgGES0WRLudeFU1ck42lSfPJOFLDv9JLhcF985Jpnt5PMi5ueRccw368jJUvx/RaCS2azeBr79Ccjixjh5F6McfaX3xJXSFheTPuScZxbthA6GVqxDtdmzjxxFeuw5DWRmxujp0ebk03HRzu3MmGAwUv/A8+vJydBkZ7dYpLS3Em5pIhMNIFsvBp/yBoqefQnG7MffrR3DpUtRgCOvIkegKC5D3PG/DPXNoe+mljp9AFOny5SJ0+fnE6+vZPn5CKvnsH3FMnUrBnXekHiciEZSmJvzffEO8pibZCtCz5+8aTFODQVS3m1hVNaLJiK6gIBmwkI6oTZMmzX+Q9F+cNAeQazcyZ2qfdmLUrJfoXWjn3NGdU8Lzl8QsJNsHDoYogE5K7i+JAtI/ea5/RrM/yo3vHWhdFFUSXDV/HW+eOzwVZ1vvDXPeK6tYt58rgkEWmTO1L6O7ZiddBwQBX1jBHYyR0CCuamyua2N0RQ5PnzqI1lCMLKsBSQS9JFLvjXDmiDICsTj3fLqF5TtbybUZmHVIKWeO6MT5r/7Incf34YlTBhKNKcgojBg5ksaGBvLy8li1alVq4EuWZRRFQVEUBEHAbDanHA6i0WjqVr/b7cZqteJwONA0DafT+at7Z2FfxbepqYmxY8fidDpTqWNerxdZllNWXJqmIcsyXq83tU0oFMJisWDaM3TU1taGLMscdthhNDc1kZeZycqnnia8eQumXj33DBlBdNtWQj/8gGnwYJAk4o1NaOEQuvJyRIsFLRhEi8WTvZpmM9GqKiSdDrW5meJnnyFeU4v7hRfIueYaNCVO3m23Et25C8uIQ0n4/UQ3b0ZTVfTFxehLS1Aam/B/9jmxykqyLrgA69ixRHfsQJeTQ81ll2MdMQLHcceiRWN4P1iAvqSYWF0t9okT2T19xgHnTYtGabj5FkpffumAdXJWVioWNtRBSli7bQsKiFdWsfOoo1PLWh55BOvhh5N/263I2dmIpoO7VQiynDynAKKIZLMd1JlAzs5O/X8iFiO4ahXBxUswDxyALi+P0MqVND/6KEWPPY6++Lf5wEoWC5LFgr7kwB76/zSaohBvaiJeWYna5sFQ0TWVbpYmTZo/N2lBm+YALAaZo/oWMLg0g5W73JRlW4kqCcJxlUhcxRuO4zD981uJPfLtGHViu2GqvUzomUfmL6SZ/VZ2NAeIqR1biu1oDuAJxci2GYjEVR77cjub9xsEg6Twve6ddXx0yUjiaoLVVW3csmBTKkihX5GD6yZ1Z/G2ZsqyrVS1hvCFFYpcJgLROHd8vJkzDu3EqK7Z/PXI7hhkCVVLVkBrPRGenjWISDxBMKYiSwJmgwm/P0AgkPyvrq4Oi8WC0WhMiVK9Xp/ym93fD3b9+vUIgkCvXr1SFd69kbm/Fr/fzwcffMCOHTvQ6/WMHz+eUChENBolKysLl6t9RTsSiVBXV4derycSiSBJEnq9nl27dtHc3Ey/fv2wWCxs3boVn8+HPxDAZjYjuZyIJhPx2lpUr5fY7t3oSzuRdeEFJKIxai++hHhtLZLLReFTT6K2tiKIIolQmITfj664GNluR2luofWVl8mYNYt4UxPZV16B4m5BX1yCkJGZFFOCABYr+vJywhs20HD7HdiOmEj+nHtQmppIhEKoXi+gIdlsxFtbybvtVlpfeAH3Cy8gms04jjkG89ChCDo98bq6pOVVB8R27EhWhfeI146QfiGhSzAaIRaj8e67D1gX+Ppr/ItG4TzpJOyTJuF+5tl2PcCCyYS+vJysiy4kEQoRXrcO0Woj/567aX3tNRyTJiParMQqq/DMn0+8uhr7lCNT+ytuN4IGsZ07advjvGA55BByrrqKlldeJveyy5Csv6+H/f8STVEIr13bLqwBwDphAnk3/Q3dfqI+TZo0fz7SgjZNh1gMMqWZZlqDMc56ZSW+8L5BkxmDirh2UneybL8czpBjM/D8aYOZ/dKqdmKzU6aZG6f0wGr4F/bXaRr5DiPecJxQ7MDbrnvdFJr9ESb0zGV4eQYWg4w7GMMTipFh1lOaZaG2LczKylZsRh3PzBrEM9/txBuKc+uxvVATGhtqfdy5MGnzJQowsWcuV4yv4PWzh7FytxuDLOCPqARjKqoKep2ImtAIRlXMBgmzXiIcVzHKUjvnApPJlPKO3ZsAthe9Xp9qL4hEIvTt2xdBEIjH4wiCgNfrxWKxEAqFUqliv4SiKCxevJgdO3YgiiInnHAC9fX1lJaWIooioVCIcDiM3W5Hp9Ol2gry8vIwGAwpG7FwOExhYSHl5eWp9ojOnTuj29M3qXo8NN0zh4yzZiO7XPi/WJSslJWUorS1ocvOJv/OO4jt3o3odCJIEoq7lcb778fYpQuGbt0Ib96MqV9f9MXF5F57LarPj230KOKNjXjnz0dpasbYqyfO6TMQrRY88+cTWr4cXXExBfffh7jHpgstKTCFTJmGOfeSff75iHoDamsrtgkTyDj9DLRIGNXrRZBk9J1K0WJxTAP6E/5pTccnUpZR3G4SgSBIIlJGBtJ+51/KyMB86KEd9rVmXnABnnff7fBpBb2e4E8/YRk5Ei0ao+ippyCh4vvsM0w9eyLn5xOvqyPR1kYskcD9wlzC69dT9MQTWIYMpenBB1FbWzF060b2JRcj2u3tWgkSPh+1V19NwutNLQsuXUp47VoKH3kYtbUt2ZcbDqM0NhL46mvi9XVYRo7E2P2/16Eg3tBA1VlnJz/v/Qh88QVtFRVkX3B+ug0iTZo/Mel/3WkOSp03wqkvrCD6D2EKb/1YQ0Wejdkjyn6x7UAvSwwty2DRlYexbGcLNW1hhpZl0DXXRt5BInJ/D83+KA6znrNHlZFjMxJVVB5etC0VgVucYcJl1lHvDfOX9zaweFsLeknk3ml9cJl0vL6ikl0tIXoW2Dnj0E7UtIX5YM0O8uxG5p4xmJW7W7n/s60YdCKTe+fRt9jBV5ubuGxcV77f4ebOhZs5aWgxfYtcrKr0YNJLdM62oIoa93/xM2adzIVjyrEYJMLxBP6IQmswzt7mdQ2wO51IgpBqO9g7CLa3QhuJRFIV23g8TjQaRRAE9Ho9TqeTpUuXMmDAAIB/KmoDgQA/7bkd3qtXL4xGI5qm8dJLLyEIAqeeeioulwtFUUgkkgNrRqMRt9tNOBzGYrHQ2NiI0+lM+eTu7e39R0z9+iJZLESrqnAcczRSRgaixUJw2XLqrroa1e8nY9Ys7H36IBgMGLtVUPz0UyT8fqTMTLRIhITPl+ytFUW8775DeN16ss4/Dzknh9APK4nt3o3v8y8ovP9+Qj/8gLFPH5zTptL82GOo7lZEowHbxIkIej3IMoV330Xbq6/hX7QIyenAdcopJPx+qi++GOuIEbhOPonWV14hXlOL+ZBDybrgApoffoTIpk2p9+U6/XQSkQiR9euJVVXh/egjjF0ryLnmavTFxQDITicFd91J/S23Evzmm+SOgoBt4kRc06dR/7eb2p0rOSebrIsvRs7OJuEPEN26lXhDIy2PPUYiGCTzwgsQ9AZqL7k0tY9gMlFw552oAT+eN98k8PXXqXXRn3+m7trrKHz0USSbLfldU1V8Hy9sJ2b3kggG8S/6ksxzziYRiRD87jtqr7gyVR1ue/U1dKWllMx9AX1h4S9+x/4vCK9efYCY3UvbK6/gmjb1N9uXpUmT5v8f0kNhHfC/PhS2lzd+qOKGdzse6sqy6vn4klHkOowEowotgSjecByzXibTqsf1O3xkfw+1njDnvrKKjXX7+mELHEbuPqEPf3lvAw2+CK+dNZTehQ6ufXsdn2xo4PzDyjmsIpvvt7cQURIM7ZTB5nofj3y5DQ24d2pfXlm2mysmdOOOjzaxsyWYem5ZFHh85kDyHAa+3+bGbJAY2imD7U0BdrYE8UfifLy+njEV2Zw6vBOLNjfSFowxuiILDXjuu10MLXMxfWABw/p2p7Ghnry8PFauXInZbCYWi7XzoE0kEqmK597o2b0JXXsrvK2treTk5LB48WIOO+wwMjMzf/GctbS08MQTTwBw9tln88UXXyBJEgMHDiRvTyVvrydtIpGgrq4OURQpKipKtT7Iskw4HCYWi+HxeLBYLCiKgsFgYNTIkdTV11OQm8v2b75BNBgIr1tHyxNPYh03DnO/fhh69SIRDCAaDMnb75qG4vWihUJILhcJvx8tEkkOhwUCeN57D2O37pgPPQS1pSUZLuBwEK+spPWVV1F9PjLPPRdDl86pITMkiURrayrSVvF4CHz1NdEtW7CNGYOmJWi86260SATruHEpwR1auZLI+vUEvv0OEglEi4WCB+6n8fbbidfW4TjxRJzHHE3z408Q27ULY8+e2MaPQ2lpoe2NN+n0+t9Twklxu1Fa3GiRMILFimgyItntSDYbnvc/SMXGSllZFNxzN4133Els9+7UZ2Wo6ErONddQe9XVJHw+8m65mdaXXyG2a1dqG8FopNO8N9l17HEdft5yXh6d5r2JLjcXxetNRuV2EP4AYOjalaKnn4JEgh2Tj2wfiFBaiuukE5NV2qIi0OmI764EWUoNgv1fuho0P/44LY8/cdD1nT//HH1J8X/wiNKkSfOfJF2hTXNQdjQHDrquJRAjnkjQ7I/w4OdbeevHGtQ99/WHlrl4YHp/ijN+n/3WXpr9UYJRBVkSyLTqMenaf1294Tg3vLu+nZiFZGX5bx9s5PbjelHoNFOaaabBG+HTjQ1cNbGCmrYwJz+3IrX984t3MaVPPjcd3YtbFmzkwS+2cvfxffh2WzM7W4JIosCEnrlM6ZNPcYaJlkCMWxds4qdqD/2KHHTJsRJVVCb0zMGilzn90E7oRIHL560hEFUZ2SUTdzBGgcPEPSf0oc4bYv6PNexvFWsymQiFQgQCAVwuF7IsE41GMRgMRCIRNm/eTHZ2Nnl5ealAA4/Hg6Zpqd7WwYMHE95jS/VL6PV6LBYL8XgcTdMYN25cyrEAQFVVfD4fTU1NZGVlodfrUy4Hqqqm2iFMJhNWqxWn05nq81X+oedUi0ZR2jwYBwyg8JFHUBobiW7bSnjzZhxTjiQRCkEwiGAwEPt5K/GmJkz9+6G63TTeehuq14v96KPJvuACErEYUkYGgiwT2bABQ9euiDYbWZddimQ2U/+3mxB0OjLPPRddfl6yIisIIMtEd+7C/+mn2I85BucJx6PF48Rraii4dw61V16FddRINEWl+cEHUX1+LMOHUfzcszTedTexHTvwffY5BQ8+hBaPIVksND/+BLbDxyCffHJSgGoa5oEDScTihH76CXteHtHt26m76iqiW5MhJKLNRs41V2M/4ggALMOGIufno9TXk3n22TTde187MQsQ3bqNlqeeJuP002h57HHaXn8dx/HH0/zgg/vOcSRCeMOGZMhBbe0Bn7fS0JDsKc3NRdDpkP6hP3p/JKcTyeHAv2hROzHrOP447EcfTbymlsjGTbTMfRF9Xh7WsYdTd/XVABTMuRfziEORfkcy2b8CU//+B12nKypCMP5yi1SaNGn+/yYtaNMclEGlLp5fvKvDdWVZFgyyyJPf7OCNldXt1v2wq41zXlnFq2cNJdv221sLghGF1dXJoawdzQGKXEaun9yDilwbOknEadLhsuhpDUTZUOulJMNMoy/SrjWiqjVEltVAt7zkrdZAVCHToqfQaeKBz7eSYdEztFMGmVY9a6s9LNxQz6GdMynOMFHdGibDqufjdfXoJZGHTuzPsh0tXPfOOkIxlQKnkbNGljGhZy79i51YDRL5pS4i8QTeSByLXiYO3Hl8H5p8EWRJJMuqJxhVCSkKJRkWCpxmHiApIAVBQJIkLBYLVqsVQRBSfauhUAin00nXrl1Tt/cbGxtxOBwoisKWLVvo168fkpTsyd1bKf2lATGbzcaYMWNoaWlBr9fz448/IssyPXr0wGazpXp2HQ5HqodW07SUH+3eFDGdTkdLSwuappG/pyIpJhJoe6yjtHgcLRZHLi0htHQZ7mefRWlsxNirF9kXX0zbm/PwvP46SBL2yZPIPOssRKuFyI+rkXNyKHn5JWK1dYSWLaXy7HPIuuhCLIOHIBpNWEeNRvW04f38cwSdDvukSWSccTpyRgZaXKH1lVfxf/ppKrrVdfZZZMw+E9+HH9G6fh26oiLsRx6JrqiI4pdeom3uXAJffYWUlUXWOWej79YNLRql4N45RLZsQamro+b881Hb2hAdDjLPPAM5J4fayy5LvYZot1P85JP4v/sWU79+VM06rZ3rQMLvp+Gmm5Gzs7Edfji6/HxKX32F5ocfQV9aQnTr1g4/r/Dq1WSeczYAscoq5A58htXmFiSHo0NBiyAkxT0gmc1knnkGwe++6/C1Mmafmeyf3e+4TUMGk3H6GXjefZfAV1+BKGKfOBHTnjjfnKuvoeHWW6m59FLKFnyAtMe/+D+NoUuXg4r67KuvQvcb/JnTpEnz/x9pQZvmoPQrcpJtM9Dsjx6w7rrJ3YnEE7y+oqrDfbc0+GnwRcm2JfszG31RwnEVvSSSbdOjl6WDvu66Wg+zXvgBgP7FTi4Z24XHvtqeiuMdUOLk3ql9EUWB6yd3pzUQoyzbQlVriAc/30o4nhRUcVWjzhPGHYiiJDQeO3kAX29p4uaje9I914Ykifzc4KNvkYPueXa+397ClD75PP3tTgSSdmKPnNQfi0FmfM9cpg0uxigLaIA3FMdu0iFLAk2+GDe8t4GNdT7sRpkbjuxO91w7EUXFbJAx6kSCMQWzQSaRSFa+11a3tes53Vv5FPb00e4VkSaTiUAggN1ux2QyoSgKJpMJt9uNyWRi5MiRNDQ0oNPpCIfDLN6TKDVo0CDy8/Ox7emd3B9BEOjZsyd+v58vv/wSURSZMGECiUSCQCCALMsYDIZ2YQr7p4JpmpYaUnM6nZhMJiRJIhAIYDabU6b7aBr+Lz7HNGAgpr59EYxGXDNPxjRwIOh1ZJx+GoJOR3D5cjJOPx3PO+/g/ehjLMOGIezcSeurr5B9xRVEd+6i06uvEPzhBxrvvhulqYmMM8/EPKA/rpNPpu31N2h+9FGsYw5Hc7mINzUSr6pMCU19p07Yxoyh8qSTkbOz0aIRgt8vxTP/bfJuuQUpIwM0Decpp+CaMZ3QDysJff89hu49UOIKhq5dcT/7XCqeNuH10vzwIzimTsU5YzqeeW8ll/t8VF94ISUvvEBo5coOLbR0hYVosRjBH1ai+rzoS0rJufYaYtW/3Nqk7YkbNnTujFJff8B6Y98+tL72Wof7WkaObFeVNXTvjuu0WUQ3b0FXWIDS1Exw+XKc06Zh6tcPAPOgwantc6+/geoLL0Spq0stcz//PPqyMrIvvwxNURHtdhI+H55588i9/vp934H/ILq8PEpeepH6W24l9P33QNKrOOfqq7Eccsh//HjSpEnznyXdQ9sB6R7afexsDnD122tZXekBwGnWccPk7hzRK48GX4RJDy8+6L5PnTKQ4eWZfLmlifs+20KjL4pJJ3Hq8BLOGVVOTgeDYe5AlFNfWMHmej+yKDD3jCGc9+qPKZEK0KfQwcVju3DN/LX4Ivtuiw4udXHeYeVc+PfVHNknn4k9c/nLexvwhpO3wV1mHXef0AedJPLDrlaeXbyT8iwLMwYXU+gy4TDp0Msit324iSvGdyXDoue1FVV0z7Mysks2wagKAuTZjcQUlXAsgUmftCXb5Q6yZFsLk3vnsbM5iMOs482V1UTjKtdN6o5BFnCa9aha0h3BapAY0KMrDfV15OUXsHHjBvw+H5FIhJycHARBaNevqu6peup0OiRJSvnRhkIhJElCp9Mxd+5c4vvd8i8tLWXq1KkditpIJEJ9fT2vvPIKl112GYFAgO+//57t27dz0UUXpV5zb2V279DX3j8XkUgkFf6w1xFBFEWqqqqYPHkyzc3N5DkcfJWXj2X0aFyzTkV2OECSEK1WEqEQWjQKOj2SLfk44fUhZWcR/H4poeXLsRx6CJLLhaFXL9SGBjRFSQ43SRJaQiO4bCmmPn2IVVUlp/q7VqDLy8P74QIkmw1T7z64X3gB58yZKE2N6IuLif68FdFiRt+5M/G6OiS7HV1RMYLRQLyykvob/4b5kEPQolFCy5ejLykh+4rLIaFRfd557U+iJFH0xOPUnH9Bu8VFTz9NaMUKWl98sd1yXWEBebfcQttb83EefxzxujrUtjaMPXuh79qFylNORW0+MCYaSaLo8ceoueBC8u++i5YnniS+398lQ7duZF10IVosTt3117drFZDz8ih95eV2HrGaohCrqcH3ySdE1q1DX1aO47hjkbKyUkERcbeb0PffkwhH0OIxGu+488DjArKvugpBp8O3cCGRdeswH3IIxU8+gfh/1HYAoPr9qK2tJKJRJJsNOSfn/0Rgp0mT5j9LukKb5hcpz7bywulDaAvGiCkJ7CYduTYDkiTii8TRSQJxteNros45Fhaur+ev7+8LPAjHVZ5bvIttTQEenNH/gPCFcExlc33SQ3Jcjxw+3dDQTswCXDy2C1e9tZZANPnDbZBFjulXwOHdczDrZZ45dTAOk8y0Z5ax/+VaWyjOhX9fzTsXHMpLS3dzwWGdKXKZmPv9bnY0ByjNMHPR4V24f1o/druDXP/Oesb1zCXPbmLm8yvonG3lsnFdeX7JTmpaw5w4pJgcu5FGbxiLXmZElyyybAY21vtYsq6Z80aX0TXHhl4SiCoJnvx2Bz9VerhmUjdqWsP7rMy0BAlVxeVypQTk3kAFIDUgpqoq8Xg8JWAVRSEjI4NYLEYkEmHmzJlEo1E2btzI+vXrqaysZPfu3fTp0+eAzyYej+N2u+nSpQvRaJR58+bRuXNnzj///FQSmd/vx2w2I0kSa9euRRRFunXrBiT7Z1tbW8nIyEjZjWmaRkFBQardQTSZKHn3HUJLluD9YAGuaVNBltHUBIIoIJrNhFb/hOetecgZGThOOIF4bQ3mfv1Q6uvwvvceWZdeilrfgGDQ0zb/bYzdKjANHIio12MfOzY5+BWLoYXDCJJI6McfsY4eTe1ll6PFYhTMuQdD9240LVhA0933JNPErr8O0WpFzswEUcT30YcIdjuOyZMpefklEoEAiUiU7EsvQWlrw/fhh1gOORTTgAGE9w9LUNVklK4gpKrBxt69QRSSVej9Ba0sk3f77QiyTMbpp5Hw+4lVVeN56y20SARj/36UPPcsu6bPgH/oQ7ZPmUJw2XLybrkZXUnpPm9cWcZ+5GSyLrgAEBAddjov/Bj/198Qr6rEPHw4pt590OW3T/+KbNpE5Wmn73ME+PobWl95heJnnkYaPJh4bS3u518guHw5coYL57Tp5N74VxrvurudHy5A4JtvyDz7bBLB5OCkqX9/BMP/ba+qZLOlXB3SpEnzv0O6QtsB6QrtryMUU7h1wUbmrTrwHJVlWXjpzCEc+8T3eEIdm9N/etkouue3z6+v94aZ8OB3BKIKFx3eha+3NLGpft/QV67dwKVju6ZEst0k8/CJA3j/p1o+2VBPXNUozjBxxfgKfqxs4+0fazimXwGHVWQjCAKrq9qIxBU6ZVpAEJjzyRaGlWVwSOcswnGVxduaObxbNmN75DLr+RU8f/pgTnx2OcWupHfupW/+hEUv89CJ/bnnky3tju3QzplcMrYzBU4zbaEYdZ4wOTYjTpOOYEzBqJOw6mVWVbUyvCyTRZ8tJOAPYLcYmThhPJKUjMLV6XSoqoqiKAfYYu3tj00kEsiyTCwWo62tDVEU+eSTT/B4PAwZMgSbzcYXX3xBUVERM2fOTKV57SUQCFBVVYXT6WTnzp00NTUxZswYEolEKjp37xCYTqcjFou1i7pVFCVlLyYIAj6fD03TMBqNfPbZZyiRCPrly5k8ajS2w8cQ3b2b0PIV2I+YiOett/B/sQjBZCL70ksx9ulN+Mcf8bz3HhmnnY7scqIrLibe3IxS3wDxOBoa5iFDUD0e4nV1ND/4EIlQCMuokThPmEpk8yaa7r4Hy8gRZJw5m+DixbS+9BLO2bNxTBifFGKiiKDTE96wgcB332EZPChZSRRFLCNGkAgGidc3oEUjhNeuxfvee1hGjCTznLNRmpoIfPU1bW++iZyVhRaPo3o8yQrtRRcnX3fWaYTXrkXxeLAMHQIINN5zD0pLCwX3ziG4eAneDz9MVlAFAeuYMTinT6P2qqvRwmFcM2ei79KZxrvvgXgcQa/HOWM6rlNORTTokfbEye4NiRB0OuTMzFQ1VFNVlKYm1DYP6GRkp7NdQhhAvKmJypmntKvw7kXXuTOF99xN5Smnploc9mI/agq6wiLczzzTbrl5+HByrrqK3dOnIxgMlC/4AH1paYf/3v8ZSos72S5SU4MuNw85Py/d95omTZpfTVrQdkBa0P56Gr0Rblqwkc82NqSWVeRaeXbWYGJKgokPdzx8AvDYyQM4ul9B6nE4phJXVeavquH2jzcza3gpVa0hvt267zZst1wbk/vk8fCi5OT4PVP78OKS3fzc6D/g+R+fOYBMi57XV1Tx6cYGlITG9IGFzB5ZTmswRjCmUJppobIliDccJ99poi0UQxYF8p0m3lpZTbM/yuebGrnl6J68uryKHc0Bbj66J/NWVtPgizB7RBm9C+3YjTpMeglJEKhpC/HMtzvplmdl5rBSmvxRZFFAL4sUOc24gzG84RjFDh1GUUXTwKCTECBVgRVFEWm/26SapqUSwfb6w2qalmoLYM++77zzDm1tbUyYMIGNGzeSSCSYNWtWh960tbW1GAwGwuEwspyM+93rYCCKIpqmpcTt3spxJBJp10u795hEUaSxsZFPPvmEmcceizkWQ4jFEI1GBFkm1tCALisLQZYR9HqUhgZEk4no7kriTY2YBwxA0OkQDQYi27ejLy4mVlmJaDAgms1IGZmoLc20vfsetrGHY+jcmUQggGS3o3h9KM3N6AvyaXnqKXRFRTinz0CLJXu/I9u2ofp8GCsqkDMz0RIa8YYGAl9+SXDZMkx9+5B13nm4X/s7vvnz0Xfpgv2II7CMHkX9jX/DcsghOKZNI7J2LbqcHGLVVYgGI1JuLlo0Sturr+A4YSr1N954wO3+/LvuJPDdYtSWZnwffXzAZ2AeNgzz0CG0PPY4gtFI+UcfgqaRCIcRzWbkrCxE4z8frFR9fvxff0XjXXenPGb1ZWUUPHA/xu7dEfZ8ZpGffz6ovVfWxRcR/P77gwZJFD31JLWXXtYuPa3g/vsILltGaOUqCu+7F2OvXr8rvCBeV0fNJZcS2bgxtUxXXEzxc89i6NTpNz9fmjRp/vdItxz8iYgpCWKqilkn/2Lgwb+SXIeRe6f24bpJ3WgJRLGbdP+vvfMOk6o83//nTO8z2/uyhbL0XqUKiBUBsWvUmBhrNMQWv4lGTTEmGpNoYoklVlAsKHZUQFGkCEhbYIFll+1tZmenz5z5/TGc4wy7IMlPRfD9XJeX7KnvnJnZvc9z7vd+yLAaybIb2dfmS34a242MA3aDFm+IzXUenv60mnBM5qwRhTx12WjuemMrP5/eN0XQ1rkD9M5KtOV0WfSYdNoexSwkvK6VjV5OHpTHmNIMVu9p4+TB+Vz8+Bqm9suiIs/Otc9vUNMRtBqJn00uI91qoDTTRmG6mSy7kfPGFGPQStw7fzDxOJgNWj7f08Ztp/Zn+Y5m8pwm3t/WxBsb67liShnDi9O4Z/4Q1WqQ5zQRleO8t6WRijw7I4vTcFl0dAWj6E1GDPEwEl9NtlLyXzUajZoyoEzKikajaptb5d8ALS0tZGZmct5557F9+3a2bt3K8OHDiUQi3aqzCk6nk9bWVrXaarFYiMVi6nmVKC5lgpoyPgC3261OHjMYDMTjcXJycrj88svRhEJoZTmR4arTIWk0GM1miMaQzCbiPh+6vDxCu3YR2LyZtAsvILRjJ/qsLGQpjL6gEGIx9Dk5xGUZjd5AtKMdyWQi65qribndxGMxNDYbkaYmJJMpYSt44AEyfvITtC4XXZ98grFXCaHK7fg+X4PW5cSQl0ckJqPPziLu9WIeNJC0884l2tbGvh9dQuGD/8Bx4jTC1dUEt20nvuwDCv58Ly0PPoTGZCT45Zc0Ll6sfqAlo5Hc239D5s9/Tu1PfpoiZiERl9X2+OPk/uY37Dnt9B7fA//nn5Nx2WVAIn6LmIyhV3G37WSfj2hbG4EtWyAaxTRkCLqMDPXRenDrVhpuuTVln/DevdRc/CNKl7yGobAwcY5o9y56Csa+fQ+b4xr8cjOG3r0Jbd8OgGXCBEyDB2Ps24+sG274n1vLxjo7abj9jhQxCxCprWX/VVdR/PTTom2tQCD4WoSgPQ5w+8PsbfXx1Kpqmr0hplVkccqgvP/vHNgjxWkx4LQYKMtK7f+ebjUwrV82H1Y2d9/HrKdXppUWb5BbXt6css2nu9vom23jsUtGU9cR4Oqp5fxz+W4gEb/VGYzQP8+OSaftlkGrcPvpA6jtCPDEJ3vZ0+qjwGXmlpP7YTdqeeTikaRZ9XgDUe6dP4S/f1DF7pYudBqJek+AeSMLiETjnFCWSbs/zHOf7+PicSW8uG4/a6vb6JvtYP7IQgrSzJw6OJcOf4QTemcyMN+J06zji5oO/rV8N2NK0jltSD6/fHETo0tc/HJWBfF4nDZforOZ1ZCwDsSIE/b7AbBarWqFNhKJEA6HMZlMaqMDpWIaDodTKrkFBQV8/PHHrF+/noKCAiZOnIjFYsHlcqmi92BCoUQF0+l0Un9gBrvBYFCFLHzVzEGj0VBfX8+WLVtwuVwMHToUnU6HwWBAlmXVHhGJRAgfsEUYZRlNU1PisbcsE49FiXd0ABLxcARDcTGx9naCGzdhLC/D++FH+D//HOsJJ2Ds24fOt97Cdc45dL73HtHmJlzzzya4ZSuhXbuwThiPLiMD77IPCGzaSM4tt5A2dy4dTz1FPBrFOW8eyDHan3sOfX4Bpr590ZjMxHxdVJ91VUqV0Tl3LsVPPI4cCNDw698Qa2tT17U9+ST5f76X8N69uF96KeX6xUMhGn5zOyUvvZhyvGT8n36WeHwf6y4kJYMB+8kno3E5ybn9N0hWK/FIhNDu3Yl2tQdEXKyzE89rr9F0z5++8rBKEhk/u4L0Sy5BkiSak3Jpk5F9Pro++oj0iy8GQJfmUhMJdNnZOOfNw1BSQqyjHY3dweHuQDUuF+ahQ9Hn5OA6/3xMA/p/I0Iz2t6O75NPelwX3ltNtKVFCFqBQPC1CMtBDxxLlgNvMMLTn+3jz+/uSFmeZtGz+KoJlGfZ6PCH8QajaCRItxiwGL+7+5jadj+XPLEmpduW1aDl2Z+MZUihi493tXDpk2t73PdXp1Tw00lldIWjtHpDrKvuQKuRGFuaTigq0+INIUlwx+tbqWz8qko7tW8W48sz+OPbleqyX8zsS3Gahd7ZVpo6g7y+qQFvIIKkifOzyb1xmPVIwNZ6Dx/vamVokYtsu4mHV1Rx/fQ+SJKEw6THfyB+KxaLo9OCXqth0ZoazhqVqOJ2BqM4TDrsZj1/XLqd/DQTF48vIRKTicTixGQZu0lPKBSmdseXxCJBdFoto0ePJh6PYzQaVQtB8gSxQCBAJBLBarWi0WhU4amkHYTDYbVF7auvvkpzczM//vGPKTxQmeuJrVu3YrPZ2LJlC+PGjSMSiRAIBDAYDOh0OsxmsyqGlTEpE9SUn3U6nWpD8Pl8tLe301FfjyYawyDB8IEDkbRaJL0e4nFiHg+h3bvxr1uPY9ZJRGr30/XRR1jGjcU8bBjhvdU0//WvpJ13Ho5ZJxHtcKN1OtBYLMS8XqKNTeiyMom1t+NZ+ibGslJs06YRaW5GYzASDwXR5eUhaTSEamrRWi2g1RLYuBFtVjbm/hXE2tuJeTzEYzKBdWsJbt2Kc85cIm1ttP39792uk2Q2U/i3v1F7xRVfLdRqsU2ejHnYUCxjxhCuqcH79jt0rVzZbeJU6auvsHfuvJRlxooKsm+6Ec9rS/CvXo3GasU5Zw6G4mLqb7sNXVYWub/9LZbhwwhVVVF9zrk9vodF/34MY9++1Fx5FRkXXoDW6SQeiyHpdHjeWIr3nXewzzqJgr/+FUmjIR6NEti2jbjfDyTEa+cHH+D/9FPSL7sMrcNB3Q039Chqy95+K9EBTZLQfIMTv4LbtrF33lmHXF/0+L+xnXDCN3Y+gUBwfCIEbQ8cS4J2d0sX0+9b0eO6q6aUcfKgPH77xlY21LjRaSROHZzLjbMqKP6OqrcATZ1B9rb6+HK/m+J0C4MKnOQ5zURlmWue+4Jl27tXcAFKMiy8dOUEsuxf/fGsbffzh7e28+7WRuQ4FKWbue7EPqytbuelA5PTHrpgBLe8/KWagnD6kDyK0izM6J9NgyeIyaBlT4uPBk+AMSXpiSiyVzZT5w4wvX8OF4wp5h8f7kKvlbjuxN5EYvCndxITwC6bUMKUvlmY9FrMBi1tXWHSrQZau0L8+rUt9M2xc/H4XrR6Q5j0GipyHfjDUcx6LWkWA3HAF4oQkeOcOHIAjQ315Ofns2PHDmKxmCpUk4Wj2WxOmRSm0WhUa4DX61Uf+Xd1dRGNRnE6nbz44ovY7XbOPvvsQ1oOamtr8Xq95OTkqBO6NBqN6p+FRLKCko2rtNtVJq8p59TpdAlrBKCXZfoMHEh9YyP52dls/O1vsY4fjzY9neiBlrVyIIAcCKBLSye4oxKty4U+K4t4JJKoxpWWImm1xP1+gnv2ILs9aCwWDEWFBCp3oDWb8C77AOfs2cjeTiSTGe8776AvLyNt3jyCu3YRWL8ekHCccjJxWU5EdNkdaKwWJL2eSH0DcsBPXI5jLOmFZDKhsdkIrF9PuLqazqVLkX1+nHPOxFjeG0N5Gc333U9g/XrMw4eTec3VdK1cSWDjJvQ52TjnzEE+0LbXs/RNpHicSFMT4X376PXsMzTeeSe+lYmIO43VQsHf/kbd9Teo6QAK5uHDcc6eTeOdd4IkUbJoIe7FL+N+8cUe30PLmNHk33cfwa1babzjt0SbmoBE9Tf90kuQjCbQSGRdlYgWC+3ZQ8eLL2IsKwNZpmvlx2idDiyjR9Pwf7/Gdf55aKw22h97LOU8Wb+4gbQLLvhW0gPCtbXsPvW0bukOCmVvLsVYXv5fHVMOBhM+ZKsVjeG7acMtEAiOLsJycIyzqqq1x+UOk44xpRnMf/hTNVYrKsd5fVMD66o7WHzVBPJd301WZI7DRI7DxLiyjJTlkVic6CEivyAx3jhfrW/0BLjo8c/Z1+ZXl9W2B7h58Zc8cN4wPt/TTk27nzSLnnvmDUarlZCQKEo389LaGnQaCb1Ww3XPb1CjwJ5cVU2uw8S984dww6KNNLgDBCMxLp9YSntXmCyriVZ/GDke57EfjcJm0GHUa/CHYjz5STVLNtVRlG7h4nG9eOLS0XgCYe5+Yxs/nljKgHwHu5q6GFzgpCsUpaEzgM2ow2nREQrLxNRKbMJCYDAYCIfDBAIBrFar6llVhKRSmY1EIuokLqUzmN/vR6/X89prr1FUVMTZZ5/No48+SjgcPqSgNZlMmEwmQqEQOp0Ov9+Pw+FQRWzyeXQ6HTqdTp2IptVqCQaDahW3ra0NjUaD+YDHFkDSaHCcfnricbsso0tLJx6Po3O5kE0mkMBYXIxktSa2NxjQG03I7R2Jam6nB/OAAcSjUSJ1dUgGI7bx42n797+xjh+Hvlcx4b17E+LtJ5ejTU8nWLWbaEsLurw8TBUVxLxetA4HWqcT2edDDvjROp3oCwuIud24X3wJ73sh0s8/n7Z/PUxg61b0Odlk3XADhtJSWu7/K+5XXkWXlYXr3HNxzZuL1uVi/7XXqbFXQcD7/jJy774bvcWKoaiI4JYtmPr1I+fmm9BmZpJ3553U3XgTgfXrcZx+Bu6Fi7qJWYDAhg2knXce2owMYm1tiWr1BRdiHTcOtBokrRb/+i8I7dlDPBgk2tGB7PNR94sFiQixA8TDYdoefYzc396BbfLkxPetpSWRkNDZScv9f010aJs1C9vUKQS+/BLb1Km4n3+BsqVvoHO56Fq5Al1WFukX/whDSa9vLQpLl5mZaJDx9NPd1lknT0rEqx0hsa4uwnv20vb440RqazENHkT6j36EvqhICFuB4DhHVGh74Fiq0D7+yV7uXrqt2/JLJpRQ2+7v0b8K8NdzhzJ3+KEfR39XvLW5gauf+6LHdddM680NM/qg1yZmaC/f0XxIe0L/PDt/mDuYdl/CXnH7ki1q04Vch4l/XTQCm1GX8MpqNayv7uDpz6rxhRPCdmSvNM4akU9FroNgRMao05BmNRCKyuqELXcgwitf7OeUQXlYDDrsZh2RqIxeq6GysROHSU+6NeGNtVt0BMIxJMBqTAjBRk8Qp8VALCZj0GsYO6gfTY315OXls337NjWuC76yG8RiMdWrGgwG1bgupUKqiE5lMllnZyder5fa2kQ74rFjx+JwOHq6ZLS2tqrHU84Tj8fR6XREIhEMBoNaDQ6Hw2qkmO+AEFPEtOKxDYVCaLVaBg4cSENDA/m5uexYtIj2Z58Dg4Gsq69GYzEj6XTEkYh1edG5XMS8XpBl5M5OMBjQ2myJx+OxGNHWVvyrV2OqqCC4vRI5GCTtvHPxr1tPtKkRjcmMNjsL07BhyJ2daG0HfNyyjAzU/exKNGYz2TffhPvFl+havjzRKnf2bNIv+RGR+nokvR65qwv/6s/peOEFNbIq+1e3osvMIrh1C10ffkS4uhrnWWdhKC2h5S/3pVxLQ1kZ2b/4BXU33fRVviuA0Ujxww9jGTOamMdDtK0N4nGq55/dLRpLwTnnTGKeTro++oic239DzO2m/fEnkEMhsm64AWPvcvyrVxOPRrHPnElclqn98eU92gQMZWUUP/Uk+uxsgrt2UXPpZSkeYUikCeTcegtyMEj9L2+k4G9/w37STORAAEmn+06EYLS1lbYnnqTjuecSDTd0OhynnUb2gl+gz8k5omPIwSCepUtp/PVvUlfo9RQ/8TjW0aO/hZELBILvC6JCe4xzQnnP1YsBeQ5e/eLQYvydLU3MHpqP9kCcz+EIRWJotRK6I9j2v2V0STqDCxxsrkud3JXjMHLBmCJVzMKhq9EA2xu85DgSOamX/2edulynkbjrzIE0eQJ82Rli6eZ61la7mdQnk39cMILrX9iANxRl834Pfzl7KA9+uJMJ5ZkMLXLhC0UJx2Q+2dVKPA5nDM3jlIF5ZNmNuP0R9ncEWLa9iXe2NPDbMwaS5zLT4Akgx+NotaDTaOgIRAhFYrgsRvLSzHh8ETr8YTLtRpS5WpKU8Kb6fD5VrJpMJlXcKqIyse1XE7y0Wq1asfX5fLS2tmIwGMjIyMBoNGIymbDZUifqKSiWBUmS1IlmSpqCwWBAq9Wq5zQYDBgMBvx+Px0dHaoFwufzYbFYVGF98PgAZK0W1wUXYOxVTLS9HTQSWpcLwmG0RiPxcBitxQJISDodsfZ2JK0O2deVqEJGIthPOomujz4iLsdwzZtHrNOLefgwQnv20PXRR+g9HsxDhhD3+XC/9TYaux3blCkgQf7996PR66i/9VeEKr/yVNsmTKDlr3+la/kKrBNPwFBWhjYjnYK/3k/TvX8m51e3Etiwgc7XX0cymUm7+CI0RhONd95J4YMPglabMtEr/dJLaLrnj6qYtU2bimveWcRjUdDrCNfUJpo/GAxIFhP6wkLCe/b0+N5IRiPxaBTbtKlEm5rV7Nfcu+6k66OPaPnLX9RtO559DudZZ5H1i1/Q0sPEsPC+fYkGEJEInldf6yZmIZEmENq9O9EUAtBYLEiSdOB9+W7QZWaSdf3PSbvgfGSfLxFZlpGB5r8YQ7S1laa77u6+IhKh4Ve30ev550SurUBwHCME7TFOrtPEOaMKefGg5gaBcBSXxZDSGjZlP4fxa8VsvTvAqqpW3tzcQLrFwMXje1GaacVlSQig1q4QbV0h3IEImVYjGTaDuu5wNHqC7Grysqa6ncI0M387bziVjZ08sGwX4ajMmcMKOHtUIQVpqX/MCtMsSBJM6ZPF1IpsHCYdTrOeUERGq5XQSBIPH0hDkCSYUZHNLaf0Rz7gP7WZ9Nxycn/SrQZ++eImHvxwF9ec2Jt73q7kZ5PL+PfKPfx0cjmr97Rz33s7KEq3UJHrYFx5Bt5glJ1NXWxt6GRddTueQITdLV1cOaWcJddMpN4dYPN+Dxk2Pe3+CLUdAbLtBgrTLLj9YdyBME6znky7gRyHEV8oppoplIckiq1Aq9V2i8tS7AfKNorPVqmQ6vV6tWVudXU1xQdanWoO8R4r1V6ApqYmXC4Xsiyj1Wrx+XzqeWKxmJqGoNFocLlcaDQaurq6iEQiBINB1aqg1+vRaTQoZ5QkCVNZeULkmYwJMSFJxH2+RJMDk4mYx5MQ0j4/ujQXWrsd2e9DMpuxjBmDHAoR9wdwnHoq8VgMz9tv45wxg2hDA8RkMi6/PFHxjUSQvV0YykrR5eRSf9NNhHcnPguG3r3Jvv562p9+Gv/ataRdfBHBql04Tj2VzGuvIx4J41+zFq3Djr64mMJ//ZPaH19OtLERbUYGksFA0+//gHXcOLJvvYXQrl0YiosxDRqEZcQItC4Xxn590eXmEg8GiTQ1Ew/4qbvpJrIWLEBfVEQ8GCAel/Gt/ozOt94m7/e/I7h5C/riIuKBABqzhcCWzbQ/+STWEyZSf9ttFD70ELHWFgr+9gDR1lYkrZauj5Z3ey89L79M3j33qDaFZAwlJUgGAzGPh64PPzzkd9L3ySeYR4xAMpkwlJUecrtvE43RqMaL/S+Ea2oOWfWO7N9PzOMRglYgOI4RgvYYx2UxcPPJFUzrl82/Vuym3RdmfFkG0/tno9FI3L5ka4/7nTume9ZlMrXtfs595DPqPV89Pn1lQx3XTuvNFZNLcQeiXPnM+pROWdP6ZfHHeYPJdR7am1vb7ufixz+nOskHa9BqePKy0Tz/03HE43HsRh3uQIQGdwCbSYfdpFePX5Q+mk92tfDw8t0YdRpumNGHvrl26joC7G7u4qpp5aytbue20/qzv93PvH+tojMQJdtu5McnJP5Qv7C2hn//aBSXPbWG3tk2NBKMLU/HpNNyz1uVzB1RwITyLNZWt+MPu0mzGChJT3T/OnNoPiOKXURiMiUZVrpCUfa2+li+o5kBeQ4ybSb84SgFLjMxOU6dO4hRp8GqkYjEZGJxiMZimPU6NEn+4D179pCVlYXJZFKbGySnHSgdupTGC0pjBVmWCYfD6PV6gsEgHo+HwsJC/H4/1gPe1J4IBoPqcS0WCxqNRp0UpjRrUP6fLLKVCq7NZlMTGBSrQjQaJRRLEuqxWOKRvkFPaNNGLEOH0vbkU/g+/hjn2fNxnn46WruDeCyKXm8g5u1CYzEnxuDtQmM0oj0QCxYPh4lHorjmzCG8axdoNOhzc/AsXYplyBDcry1Bm56OPjsLrcOB88wz1YplrLUV/6ZN5Pzm14T37cPYrx8dzz5H8wN/w37iidimTsEycgStjz9Bw513kXfXXaRfeimG4qKE5zQYxFhahu/z1WisNqTsbHLvuB3Pa0twv/oqpmHD0OXlEWttJVxTi2X0aCSdluxf3Yo+M5PWfz1MzO0m1t6GfdbJ5N11JzGPB++yZfjXrFHfE8vYsRT9+3F8a9ZQ8Kd78C1fjvvFRcg+P6ZBg8i86krss2bhfffdbu+n9513sJ94YrdosawbrkeXkUG0owPpMA0aJJOZ0PZKCu6/v1t3seMG4a4TCI5rhIe2B44lD20yHb4wkZiM3aTDbNDR4g1y68ub+eAgH+3tZwzg7BGF2M36Ho8TCEe5fclWXlrf82v/8JdTuPLZ9exs6uq27vQhefzprMFYjd2P3RWMsuDFjby3ranbOrNey7IFk5EkiSdX7eWFNbX4w1Em98ni1lMqKM+y0ewNctHja9jb6iPNoudv5w7j7a2NrN7Txt5WPw6zjp9OKmNm/xweXrGb1zbWdzvP1VPL2d3Sxa6mLn43dxC17QHuXrqN/1w2mobOIDajjrve2JYSM9Ynx8rTPx5LXUeA1zbUoddpmD00n1ZviJc31BEMxxjZK40Temfwh7cqOWdUAaNKM9BrJOJAOBrHatASisbo8IexmxKJABOHVdDYUE9OTg47d+5MEakmk0kVsYqX1mg0qm1vlW0hNd4rHA5TVVXF/v37OfHEE0lPT+92DaLRKB0dHWpFNhwOq2kKSkVX6f6VPCYl7UDx3CrpCsp/yjYDBw6kvr6e/Jwcdq9Zg6TRIGk0BL78El1+Afo0F4HtlWhtVrROJ5Jej6TTEWlpQaPXg96ANs1FePceulaswNC7HOu4cQlLQkcHstuNf8NG4tEIzrlzCe/Ziy4jg8533yFcVYVlzBgso0fj/egjoi0tpF94If71X9Dx0kuYKvphmzQJY78KZI8bz6uv4f3oIySdDucZZ2A9YQKd772HdcIEGm79VUrFzzF7No5TTsFQXEz7s8/inHMmAFqnEzQaYh4PTXf/juCXX2IaOJC8P/+Z6P5aglu3EY9FsYwfj6TVEqrajWnoEKpnn9lNZFlOmEDOrb+i4de/JrhpU+obJ0kU3Hcfzfff3611rXnECCzjx9P2UKIxgmQykfXz63DOm4fO5QLAvXgxDQf7Sw9Q+M+HMPTujT47+4g6k30fCe/fz55TTu0xE1hfkE+vF14QFVqB4DhGVGiPI9KsqY/7s+yJ2ft17gArdrRgM+mY0jeLbLsRm6lnMQvQ4Y+wpAcxCIluWk2dwR7FLCQmed00q1+PgrbdF2bZ9u5iFiAQidEZjHLnG1vJshm5aVY/LAYtVc1dXPbUWp66bAxb693sbU10H3vowhHEYnHyXWbOHV1MRa6dVzfUcd97O3GZ9SmV5WSe+rSa+84ZylXPfoHdqGNwgYOXrxqPXpuol3pDUQy6hKjTSHDbaf2Z0jsLtz+CUafhxxNLqWnzUe8OEo7GGFLoYGxpBjubuvigsplbTu6H2ahjV1MX2XYDDpMeo05La1cIfySGRa8lEpXRxmNIfGU1CAaDmEwm1RMbjUbVCqosy6pXVfG+KmJTqagajUaqqqro6OggPz+fXr16sXHjRqZMmZLSQhcgEAio/llZltVuZMpYFBGr/Kc70Mo0uc2uMglNsUIED3hH/f6vKu9oNIS2b0eXmQVyDGNJKRqHnXBDw4EKay5yJEJclolHIuhycpC02kRVV6fFWNEPQ1kpsY4Oovv3o83MRGu3o7VacWRng8GQyKN95WXi4TC2yVMwDxlK41134Vn6JoX/+Dv+deto/vOfMY8aRcEffo/71VfxvPIKpv79sU6eTLSlJTEZDWj/z3/wfvghhQ89yN45c7vlyXa+/jrm4cOJx2Ucp55KpL4eXUYmLf94kGh9HaYBA8n9zW+QfT46XlxEaNs26m+9lcyrrkKfm0fzn+4l2tCAsX9/jOVlZF7/c1of+FvKOYKbtxBrb+suZgHicVoffRTXuefScl9iUpouPx+tw4HjtNOwnzwLx8wZxCMRtOnpiba5SXmx1smTMY8dS+DzzwGQ9HqMAwZgHT8e85Ch6DKPPE3g+4g2I5OcX/8fjXf8NnWFTkfeH/4gxKxAcJwjBO1xTobNSIbNyJBC1xHvEwciB/0xV7AatbR09exTA5Dj4Av17NsNx2LIh3geMKlPBnI8zoVje7GvzYfLoiceT1gU7pw9kA+2N6lC867ZA3l9Yz0L19aq+2skuGFGXy4e14uq5i5uP30A+9r8GHQS3mAUm1FHutWAPxzDatBy8dhiukJR/rViN9WtfsqzbJw/poi11e38dvYAOnwR0q0GsmxGWrwhdjZ7icqJxgije6XRO9vIfneAskxrwqMrxxlRnMYXNW4G5DkIhmMEQzK90vV4QzHc/gg1bT7G986krStEvtOEMitMmQQmSRJut5toNEpmZiaQ6OalVGrhK8GppBIkt8Ht1asX+fn51NbW8sUXXzB69Gi8Xi+uAxU6BaPRqDZjaG1txeFwYLFYVOGqWAwgMSGsq6tLzamVJElNOwBUS4LZbCYSiWCzWokrE9gAy/jxxAMB4qFQIp4rHMaQl0c8IyORaGBJND6QtNqEDzYUQp+VRayrC9nrhTiJuCitlkhTE7K3C11GOpJOR7i6GjkcwTJmDM1/uhffqk8x9q+g6J8PgU5H5xtvgNFIxpVXIml1RNvbkSQN/i824F+zlvbnX6DgT38i2tZGeO9ebCeeiL6ggEhdPeahQwls2NDtc+p5+WVy7/wtvjVr0ej11P9igbousGEj7sWLKXjgr2Rddx17zpyDc/YZyF1eGv7xDyzjx5N9041IBgPRlhZs06Zh6tcvYacIhfC8/jqyz49vzRrsM2ZgGT8ukRX78SeJTlqyTKiyEsPVV2E/+WRc888iXF1NtK0dY98+IMuYKioO+d3UZ2dT8Jc/E9q5i2hzE/q8PPxfbEDSSERbW0CnVau5xyJaswnHqadi7FdB22OPEamtxTxkMOmXXoq+qOhoD08gEHzLCEEr6IbdqGNynyxW7Gzpts4XitHrME0ZdBoJ2yE6kdmMOnIdJho7U6un5VlWrpzSmwse+xxP4KvHhUXpZn4/ZzDXL9rAHacPJM9p5IwheZRkWnlnayMaCVUgy3G4//2dvHndRBatq2XuP1cRicX57RkDmdA7nf0dATyBCDE5jlmv4fJJZZz1r09p8yXEeU27H08gwm/PGMBjH+9h9d52XGY9vzqlH3azgVW729BKErMGZJPtMNEVipFhM2LQaGjyBhlY6MCs1xCT4wSjMYYWO7EZdISjMgatRN8cG31zbIQPVJXl+FdPm5MnhZnNZmKxmCoiFR+sIhyViWLKv8PhcEqMl8lkory8XLXNHCxm4avq6r59+/B4PGoSQrKgVaqxij9XqQwrFgilS5lGo8FoNKoiWzpgO1CQvV1onA41Gkv2Bwjvq04E5UdjxHw+NFZL4mLEYkhJAhdZJtrRQbyri1BVFdZJkyAjA//69URbWjEPGoRl0EDi4TC9hg5FMhrRWCz41q9HdruxjBmDxmRG9vtoe+xRfJ9+huPUU8j/0z3U33wLRCI0/elP5N51J5Ik0fnWW/jXrCHa1ETWL27A/eKLdC59M+XaGQcORPYHMJWXUXvNtd2ubTwUovm++8m55RasY8fimHUytVddRfaNNyKHQjTd8yeskyaS/qMfIbe3gyzj+2QVnR9+SNr8+RgHDcRQWIi7rT2RbiBpsJ90EukXXkj97bfjmn8W+oICrOPGEa6pQV9QQLS9I9FC2NtFrLAAXVYWurS0Hr+D+qwsJK2Wlo8+pOFXt6nLWx74G65zzkl4bnuwqRwraO12LMOGYvrzvcjBIBqL5Zi1UAgEgv8O4aHtgWPVQ/tNsqPRy5kPfUIwklqpndovi9/PGcw1z69nY62n237njy7iN6cP6LG9bjwe583NDVz7fGrl675zhvKntytp9oa67TOqVxrjyzPY0djJLSf3583NDVQ2djKtbxb98hx8vKuVv3+wi1BUZlxZOjP751DvCVKeZSXNYqBvto1ad4A/vLVdtUmkWfTcMKMPw4vTmP3gKgDSrQb+cvZQrnp2PS6LnptnVVCRZ0ev1WDQSgTDMp2hCIGITFROZNOadFre3NzAriYvpw3JZ2xpOpGYjM2oY0+rj0ZPkIo8BxaDhmgsjs2YyK4NRWLUuYPY437MGhmI43A4kGVZzX5VPKlarVZ9rK9YEA7u4qVsEw6H1aqry+VSPbcH59B2dHTwzDPP4HA4OP3009Hr9RgMBlXEKudRKrHK8uTUhWQfryJ2FUHs7+pCFw6D349Np1OzXg1lZcihEMRkNHodsU4vktmE7PMhaTQH8sviSFYrsY52Yu0d6LKziHm7kDQSupwc4j4/0Y6OhIf19NOI7N9P278fR9Jqcc45E9vUqeiLipB9vkQzBiTkYEDtHCV3dmIZPQbkWKIF7+drcJ41j/3XXJsSw4UkkXvH7XS+/Tb+z7+auJX9m1+jz8lF9vlouOWWQ3x7oPBf/0x07dJo8C77APOgQbQ+8gj5f/gDgU2bcC9enPDn6nQ4Tp6F/aSTqL/pZoqf/g911/2caHOq711fVEThP/5O6yOP4n37bXV51o03Eo+EaXvs3wfa2YJ5+DDy77kHQ69ePY6t69NPE7m1PVD06CNqIwaBQCA4lhCCtgeEoIVoTKam3c8/l+9mxY4WHGY9P5lYyvT+iQplnTvAzS9tYtXuREyQViMxd3gBN83qR47j0BWRzkCENdXt/P7N7ext9ZFu0fPAecP51SubmTeigNwDx168fj9F6RbynSZ+MqmMZm+I6xduYHLfLM4ZVcSSjXVUt/rok2NnzrACnlm9j/PHFGHSawlGYgTCMTQSDClw4g1FuejxNbgsesaUpBOR43xU2cwf5g7mhTU1aDUSV0wuIybHCYSjFGdYqW3344/E+LLWQ027j8snlhGOxHBa9NjNerSShEaCxs4gVoMOOR5Hp9Vg0kmYDHqC4RgyMoFwDINWQyASIxSNs7fVR3G6iSy7iWBYxhcMU+DQopXiGA5UThVvrNJiVnn8ryyHr8QsoIpMv9+v2g/27NmDzWYjNzeXjKROS7FYjGXLlrFp0yauvPJK9ZjK+ZTq78HniUajGI1GNapLycBVKrbJFVqLJCH5fBCTwWhIdOsyGol1dBCPxdDl5aE54AmWYjLxcIi4Tofc1ZXIp01PT7SffettHDNnJLy1RiNyKITs9RL8cjMYjdimTiGybx+63Fw0FgtyKJRoXtDYSLSuHmP/Cpp//3skk5mM665F73TR9Ic/ENi4EclsxtS/gsyrr8bz5pvInk7sJ81EYzAS2LIZzyuvEo9Gyfv976i7/obExZMkSl9fQszTSWR/LQ23/uqQn/PCfz5EtLkFyWhAMhhpvOMOnGeeib64iMDadQQ2bSLa8tUTENuUKdhOPJHwvmran3iy2/FMQ4bgOPVUPEuWoEtPI1y9D11ODrZp01Q/bTK6/HxKnn8efW5qU4KY30/ddT/Ht2pVj+O2jBlN4UMPfWtdwQQCgeDbQgjaHhCC9isCkSgefxSdRiLTbkxZ5/aHafeF8YWiOMx6MqyGw042S6bFGyIQiaHXSrR4Q+xq6uKZ1fvY1+bj1MG5XDC2F+9va2JHo5chhU4GFzhZv6+DyX2zaHAHiQMfVDaxdFMDUVnmL2cPpU+Wjb1tPu5/fyd/O28YRp2Wva0+9rsDVOTaybGb+PuHO/GHZU4ZlItBKzGwwEmjJ4jbH6HOHaB/noNwTOa3r2+lxRviZ5PLOG1IHqGozN5WH6uqWhnRK40RRWms2duGJxhl1sBcWrwBfGGZQpcZhz4O8RgyGqJynHSbiWgkClKceFxCp4kfEKMScTmGJGmQJNSJVckND8LhMEajURW1SqVUEZyRSEStmEKiha7S5WvZsmWMGjWKgoICTAceu3Z2dvLwww9z8cUXYzQa1eMo3b40Go3aFUw5nyJclXgu5VzKPkqcGCT8wPFYDOJxdCQEsSxJSJEIdHWhzcpCBojJxJub0ceiaDMyEuH/wSDxWCwhXvUG5FgUnUaD75NPiNTVYT/xRDQWK3EJ4hkZifN6vZiMRuR9+4i1tKDv1QutzUZgeyX67Cx0WdnEvJ1oTCaibjdt//43GT++HI3RQPiAGDYUFBBpbEL2+4hotET1OgxZ2fifehLbpEnU/WIBtuknJjqd2Wyg0yVsELv3EG1twb345ZSmDfriYnJvvx3fms+xDBlCXJYJba/EMmECnUuWIIdCWCeMJx6J0PTHe9SWtb0WvkDDr39DuKqq2/cl/28PoLVaCWz6kmhzE6Z+FZjHjcVdWUnM5yP66Wf4338fol/514se/ze2E05IOU7U46H28ssJbvkqzs80eDD68nJktxvToEE4TzuNeDCAxmJFm5mB9jDxbwKBQPB9QQjaHhCC9rsjGInx7Op9/O7N7QD0y7Fzw8w+3LFkK+PK0jFqJdbVeJjaL4sTK7J5e3MDm+s62dHo5bQheZw+JI8bFm5Er5V49idjOf/Rz1l81XiavCF+sXAjLV1f2RgK08w8fNFILnliDW2+MFdPKefc0UXcuHgTa6s71O1KMyw8c8lQ9PEosVhUbS9rMJoJRWNEgn78/gB6s4WgZOLVTU2cP64EbTxGoLOD/Xt2MHLkSLX5gdlsJhqNqhOpIpGImvuqiFjFUpCcHHBwRJYSi6UcSxG2yaIyFosRjUapr68nLy+PxsZGCgoKSDvgqezs7OSll15i7ty5RKNRrFarKooVq4MylnA4rFZtFQtCNBpVq7lKgwdFeCvjVcaZbEdQju/z+aivryctLY20tDRVHAOE/H6MGg16vZ4QJJowKFYHWcZkMEA8Tqffz+7du3E4HGRnZye6qjU00PV/vya8cyeWCePJvvFGQruq6HjheUwzT8IwcCDkZBO3WnG73RjNZqLhMGazGWnTJoLvv4/u0kupCwQwHLiByMjIwKTXo5Vl2PQlzb+7m/SfXoGxfwVhjYZIVxex7dsxu1xE3R6CdXXoZ0zH2r8/eouFYDBIzO3GZDbT+e/HcT//fMpn3zR0KBmXXkLdgYllhf/8J62PPkJw8xYs48aiyc1Frq0lHo2RccUV1F13HfFIBI3NhuuBv7LL7+eLykqMRiPTJk/GbrMRbG3FJMtEP/gAc1oamT/9aco547EYrf/8J60P/RND795Y77idvR0d7GtvJ83pZEhZGeEnnsS/ZAloNDhOnkX2LbcccftZgUAgOFoIQdsDQtAeGo/HQ11dHdu3b8fpdDJkyBCcTqfaDOC/pbbdz4z7VxCKJoTNX84eQjwSZlSBGaIhotEoNrsdg8HA+s3b6Wxtwp6RTXpeL/6zrpmZ/dIYlGdjR7OP9pBEizfMoAIHdy/dTk27v9v5hhQ6ufyEXuSZ40Q8zXR0tJOVV0hQa+OOt3dz8oBsLhmTT8iX8AcHAgE6OzsxGo1kZ2fT2trK7t27MZvNDBo0iLa2NrZs2UJ57z6UlpYSjYQxmUyqENXr9TQ3N6udtcrLy1XR+thjj+HxeLBardxwww2qIFWsBooAVqqlynLlK6t0CVPEpiL+QqGQ2uFLqbAqtoNIJEJHRwc6nY5wOIzBYFCTEnQ6nZqikDKx64DoTD4PoCYvJMd8aTQaHnroIfWaXXPNNaoYT+5yprzO2tpa2traKCkpweFwqOPSarVEIhG8Xi8Oh4O2tja1A1peXh6hUIiqqip2795NUVERw4cPRxMMEqypoSMeJ6TXk5OVhd5qpb6+nkgkQl5eHrIs09raqk5m++KLL+jq6mLumWfi8Xr5/PPPqampwWKxMGLECOx2Ox9++CGjKvozcOAAIno9/mBQnUin1WoTM2vjcdo7O7FYrfj9fvVamUwmKrdvp3daGsE//IHQxtQ4rsyrr8b32acENmyk6LHHCAf8hLKy2LJ/Py1eL/kuF4OGDKHrd78n8PHHEIvheuAB3qjeS0NTEw6HgzPOOIP333+f5iTf7ZD+/Zk2dhyuXokGKqFQSJ1AqHW7qbn8J5j/+Aeefecd9aZKYe706difeZbgihUAWKdMIf/eP6FzOo/4ey0QCATfNULQ9oAQtD3T2dlJfX29Kk7q6upYt24dM2bMYPDgwRgMX9/29mC+2NfBvH99qv78wfXj0Ud8vPfeu9TV1QGJ2fejR4/G4XDw7rvvkp+fz/Tp0zEaTbzzztvU1dWRkZHBqPETyS0oYmdbmJ8+vb7H840tTeOvs0vxdnaqCQBKBVav1xMOh1UvqtFoZMWKFUQiEaZOnYokSTQ3N7Nx40YaGhooLi6moqKCYDBIJBJh2LBhtLa24vP5KCgoUMWfVqtVvahKZJZWq6V///5qJXXDhg1qZTTZ06oI42QfrSJilcpnJBJRBVQgEFCzY5WGCRaLJaVrWEdHB83NzRQWFqbEgSnXGlCrq8q/lf+UiqzyayO5iqzYEvr27UtTUxN5eXls3rxZbdmrVKwhER3m9/vV6rNOpyMUCiUE14GqsCzLhEIhVQD7fD7S0tLUKnE4HMZqtaLRaPjyyy8pLCzE6XTS3t5OTU0N7e3tDB48mPT0dKLRKHV1dbz33nvqddBoNMycOZOOjg569+7NwoULUyrGAOXl5ZSWlhIMBikpKcFms9HV1UUsFlMTKXbs2EFubi5ZWVkYDAa+/PJLPvnkE/VmYtq0aQSDQfqlpeO59FLVYgAJe0La+efhfvkVMn9xA63FxTx/YBwajYaxY8dSWlqaqFAHgxja2ui023nhrbcAmD17NitXrsTtdnf7rI8bN44pU6bQ0dHB8uXL6ejoYMiQIZSXl2MzmVj86qvU1NZ220+r1fKTmTPpuORSdVnZW29iLCvr8TslEAgE3weEoO0BRdBqNBry8vIOu+2IESN4/fXXU5bNnj2bL7744mvPs2DBAhYs+CrH0uv10r9//yMa45IlSxg5cqT689KlS7nyyiu/dj+bzUZlkt8P4KabbuKFF1447H7xeJyRI0cyYcIEQqHEY/xevXpx3333UVtbq7ZPPRT33nsvF1xwgfrzjh07mD59OpFYnLYDtgBJksiy6fH7/SnC4s4772TmzJlYrVb0ej0LFy7kz3/+syrcFFEnyzJanQ5Jo6PdF8aUWciEn/+NDn+EFm+ICWXphN67j08+/jhFgCmCTBGAer2eiy++mJ/97GdkZmbS0NDAmjVr+MUvfoFGo8Fi+Sq2TKmKJv/7scceY/z48bS1taHVatmwYQPXXnttStwWQGNjoypccnNzAdi6dSuRSASTyUQkEuFPf/oTzzzzjHp9kkn+edKkSTzxxBOqfSAUCjF//nx2797dbVtFUCtf/VtuuYUrrrhCFck1NTVMmTLlsJ8FRUAvXbqU0tJS9Vo+99xzXHvtterrysnJSanqqu9zVhYff/yxGgGm1Wq54YYbVMGpbJ98bSFRMT/zzDO59957CQQCGAwGfD4fp5xyCj6fD1mWVT+vYssIHBCQBoOB22+/HbfbrX6+6uvref3111XhDKg3N8k3JJIk8cEHH7B//370ej3Z2dn85z//4emnn1aFt3LTotfr0el06s1FXl4eixYtoqWhgYrPVtP14otcs38/20JB0GgSE7B0OtBo6PL51OtrMpk4+eSTKUsSkgaDgb///e8Eg0G1o1wgSSAnc/3113PRRRexcOFCRo8eTXV1Nb/5zW/UmyK9Xp/yupPPsfK119DdfAux9nYAHhk9isUffXTIz4TCaaedxiOPPJKybNSoUTQ2Nn7tvof6HXEkrF27NuV39aOPPspdd931tfv17duXDz/8MGXZhRdeyIoD1WlAFDUEgmMEkUN7GGRZVquEh6Koh8DulpaWr90PEhXPZOLx+BHtB4nJP8kEAoEj2tfew+zljo6OI9rX5XKliOh9+/ZRW1uLx+PB4+ke4ZVMSgcpUCtmB9Pg7b5vv379ePPNN9VHo+vWrUt5vHoo8vMzeGRuSSKnVW/ErJOY80zTEe3b1taGzWZTmxqMHDkSrzcxuK97rZs2bcJqtVJSUsIHH3zA3r17D/sHXZZl6usTndlMJhN6vV6tQnq9XhoaGr52vC0HZswrlVCLxUJzc7N63MPhOyCilCqwRqM5ov0A1dagxHspXlrldR1u7IqQUsZcU1NzRK9VEe2KlcHlctHU1ERXV8/d65KRJIkLL7yQ1157jVgsxqBBg3j00UeP6LVqNBqGDRuG1+ulqqqK1atXH9F4nU4nH3/8MePHj8c0+wx0M6bTefXVNG09MDGrra3H/To7O9m3b1+KoO3s7Ez5LB38OySZ8vJy3nzzTSoqKnA4HCxfvpz2AwL1cBgMBsKRiGp5AfAEg0f0O6Kn4zc2Nh7Rvkf6O6InlKcJCl1dXUe0r7MHG0Vra+sRn1cgEHx/EIL2MBxJhTYrK6vHZQUFBV97/IPzQSVJOqL9gG6P981m8xHtq3j/kklLSzvsvvF4HJ/Ph9ls7rbOYrFgNBpVgXEokquakKiCKecMR2Xa/WGsBh0GKaZWgCVJwmw28+GHH3YT4mlpaSktV5ObE1gslkR2qizz9H+eQpIkzjnnHOo7OwmFQtjtdjVFQDmGkgKgHMfpdKqJAenp6ZjNZvLy8lIqsvBVlFZyFbJfv36UlJRgsViYM2cOq1atIj8/Xz2+coympqZuFdpAIKBWnWOxGE6nk7y8vBSPrELyvzMOzPpXJoyFw2FycnLo7OwkEAig1+tTunslH8tut6tVasXukDzeQ50TUBMYlMlgdrs9pS2v8roORvneKGJWkiTVH6u05D34XMr5s7OzVe9vR0cH69atIysrC4fDkWKPOLgiDmC1WrHb7Vx22WUEg0Gef/55MjMzVauFJEkEg0HVJqEcQ5ZlNm7cyMCBA1V7QZ8+faisrOx2ruQKcSAQwGKxEAgEKC4u5tNVn7J56xa8kQgulwuTyaTeSCi2Ckh8n4PBYDdvuiRJ2O12zGYzoVAIo9F4yAqtzWZj3759DBs2jJdeegmdTtfte6R4iZOPYTAYyHG5cB+4STL27096bi75+flqW2bl+3Pw9U3voSnDoT4DB3O43xFfx8HtnW022xHtm9PDZLfMzMwjPq9AIPj+ICwHPSA8tKm0tbXx4IMPHnL9xIkTGTx4MNn/Y6/0cDTG/o4Aq6paGOEIsHjxSwCMHDmSrq4uduzYkbJ9RkYGZ511Fl6vNzFL/YAIUR43O51O1eeo0+lUgbtv3z70ej0FBQXs2LGDlpYWpk2bhk6no7m5GbfbTW5uLo2NjeTm5lJZWUmfPn2oqamhsLCQzs5OcnJysFqtKQJTmcC0efNmtFotgwYNwmAwsH//fnJyctSMVr/fj8vlUquhAwYMoKGhgfz8fKqqqlTLgyKklElayrmUOC74yuuqPOZW8mAVv240GsXn82G1WgkEAjzyyCPqBC23243T6SQWi2E0GlVPbLJ/V7FkKMJUqboq2yRbPZQxKL7f3r17q97gbdu2qd5Yg8GgikXFI6tYF3w+n5q6EAwG1a5pnZ2dmM1mNVVBybxVKpWFhYVYLBY12cHr9ZKbm0tVVRX5+fmUl5err03pimYwGFLydJX3Q7kRMBgM+P1+otEowWCQbdu2kZ+fT0lJCTU1Nej1eoqLixONQt58k4kTJ7J161aqq6sxGo2MGjUKq9VKU1MTwWCQ1atXM3/+fJYvX05raysAo0ePpk+fPrS1tWG328nPz0eSJB588EFisRjz589n8eLFh/zOTJs2jW3btjF27Fg+/vhjOjo6um1zySWXsHDhQmbNmtXNFpXMOeecw4svvqj+PHrwYAZXVdH1xJMY+/Sh8F//pMti4YknnlAFt06nw+VyMXToUEaOHNnjza5AIBB8l4gKreBrUcTIwTYHhfT09B4rv0eKQaelLMtGaaaVjo4OzGYzgUAAp9NJdXV1yrZZWVnMnDmTt956i6lTp7Jnzx5VNCrVuy1bttDR0UG/fv2IRqP4/X6MRiOSJJGens6ePXtwuVwMGDCATZs2UVlZydSpU+nduzdut5uKigr8fj8TJkygs7OT3r17q8kFSjVTEZ3J3bqGDx+uCj2Px0NWVhahUIja2lrKyspwOp2q8FPa1SooE6aUCVLhcFitwCVXPA/OfVXEmCImlQluStW0srKSgoICJk+ezO7du+ndu7falSz52MmeVUWAK1Wv5Nzb5AqkIroVu4HSUUxBuS6KhaKjowOj0Yjb7UaSJBoaGtQbBJ1Op07GM5lMxONxurq6sFqt7Nq1i5aWFqLRKGVlZRQXFyPLMqWlpdTW1pKRkYHL5aK4uFi1akyePJlQKMSOHTuIRqMUFxer8Wk1NTWEQiEKCgpS4tCUJwPxeJwNGzbQ0NDAwIEDGT58OEajkffee49hw4YBsHPnTkpKSjjttNNoa2tTkxdcLpc66S4jI4Ps7Gy2bt2KJEmqmJ05cybt7e08nxTjpdFoOOOMM5g/fz6LFi0iEomo34OeKCgooKSkhI0bN3LmmWfy7rvvqvYHSZIYMWIELpeL9PT0Hivdyej1ekwmEw6Hg4knnECvrCw0mVlknXEGuqwsZIeDD5YswefzodPpOPHEE3G5XDQ3N2MymfD5fBgMhm5VUoFAIPguERXaHhAV2lRisRgfffQRq3roLmQ0GrniiitSHjWGw2G6urrwer3odDpsNpv6KPrriMfjNDY2snDhQvr27UtnZyc7d+5U18+fP58333yTM844A71ez/r169mxYwcDBgxg7NixqtgyGo3s3LmTjz/+GKvVytSpU9HpdHz66acMHz4cu92uji8zM5NNmzYhSRL9+vUjGAySm5tLIBAgGAxisVhobW2l14FWol6vF71ej+VAtyuv14ssy9hsNtrb27FarWrFSpm9r4hRn8+n5rlOmDBBrdDu3LlTFZdKlTU5z1Wr1aqCQXnkq8RtJU+cShaVys8rVqxQJ24VFRWp6xUhrFR9kyeKKdVnRewmdw5TUgcU8Z487ng8Tt++famvryc/P1+dgKi8FlmWVaGqCOLkSXnK5ycUCqkiyWQyIcuyWrk1Go3IssyOHTvYvXs3TqeT4cOH4/V6WblyJZIkMWjQIMrLy9WJY3V1deTl5WE2m9W0hlgspn4GkmOvCgoKOOWUU1i+fDlVVVUUFBQwceJE7HY7CxcuxGq1ctppp9Ha2sry5csJBoPMmTMHn8/Hpk2biMfj9OvXjz59+tDZ2UlnZyfNzc2sXbuW9PR0xo8fz5tvvtnj5/9nP/sZPp+P7du3Y7fbWb58OZC4aRw2bBg2mw2fz8fQoUOx2+3q+x0KhfD7/YQPZOsqlei6ujp8Ph8vvvhiN58pJHzxl1xyiXpDZO2hiYLb7ebvf/87kiQxf/58PvvsM2qT0hH0ej3nn38+xcXFQtQKBIKjhqjQCr4WrVbL2LFjaW9vZ/v27epyi8XChRdeqIb2Q2KC0Zo1a/jkk0/Ux9QWi4VzzjmHwsLCr/2DJ0kSeXl5XH755Wp2qyJorVarmlFqtVpZtmwZtbW1jBs3jsGDB1NZWcnOnTvVx/nFxcWcfvrpvPHGGyxdupSLL76YMWPGUF1dTSAQwOfzMXr0aNUK0Lt3b7Uzl+JVVCrPJSUlqsizWCzIsszu3btxuVw4HA61+peenq4KNeWRtVJVVcSZ1+slOzs7pXKmVG1lWVaFnfKoXBF2yZaAg1MAlH9rtVr1GMo+EydO5LHHHuPyyy9XH/Xb7fYUYZxsa1BsDsnLky0JymdCqdwq3tuD0wyU1xAOh9VxBw9kuCrbRSIR9SZEEcl2ux29Xo9Wq2Xnzp3odDqcTidpaWkp/tr+/ftTUVGhVpTT09OZOXMmRqMRvV6P2WxGr9fT2NioVssbGxspLS1VbyrMZjMWi4W8vDyam5vVm5QlS5Ywb948qqqqqKurw2azsXTpUs466yyi0SgbN24kFAoxc+ZMnE4n77zzTspEurq6OjZv3sz5559PSUkJa9euBWDw4MGHTUBZv349p5xyCnl5eaoFRalar1u3DrfbTXZ2NkVFRWplFRI3Tj2J0dzcXDo7O5k5cybvvPNOyjqNRsOcOXPU+LrDEY/H6d+/P1VVVSliVnkPn3/+ea6++uqU3wUCgUDwXSIEreCIsNvtnHHGGUybNo329nbMZjNOpxOHw5Eiqqqrq1m5cmXKvn6/n2eeeYarr766x0kjPeFwOHA4HIRCIebNm8fSpUuxWCx4PB518k9tbS06nY7hw4fzwgsvpGRx1tfXU1BQwKxZsygvL1fTKPLy8tQJT4o4CwQCpKens2/fPlUAKBmnfr+ftLQ0du/ezc6dO7HZbAwdOhSbzUZ2djZarZa2tjYyMzNVseXz+dBqtWol0Wg0fhUrptVis9kIBoMp4i8WixEMBjGbzUQiEbRaLWazWfWMHlw5PdgakOzpVaquipjWaDQpcUjKuJSJVcniWPHTJh9P8egqIhC+8vAqVeLk3FoF5RhKRzSNRpMiZru6utSxK8dTxK0i2vv06UN7eztNTU2q2G1ubkar1aY0YlBer81mU/Nhd+7cSTAYpLCwEJ1OR21tLXl5eezdu5eVK1cyduxYioqKCIfDTJgwgSlTpuDz+QgEAqqtY/To0WzcuBFZljnjjDPYvHkzPp+PwsJCrFYr7777Ln379lV9w8m0tLSwa9cuRo8eTb9+/Vi2bBkWi0VNy+iJjo4OYrEYFosFi8XC2LFj+fzzz1MqurW1tTz11FOcddZZDBgw4LBPPrRaLWlpaQwZMoSCggJWrVqF2+0mPz+fcePGHZEANRqNlJWV0b9//0N6caPRKPv37xeCViAQHDWEoBUcMWazGbPZ3GOyAyQEykeHyKqMxWJUVlYyYcKE/+qcRqORAQMGUFRUhN/vVyfpKKJgwoQJbN68ucdgeb/fr1aXlXxQg8FAZ2cnW7duZd++ffj9fqZOnUp5eblqJXA6nar4NBgMhEIhdVJQ8uQkxVagtHBVvLUul0v1miopAJIkUV1drV4/JQKqsLAw5Xoq1gVJktTKpiIUkydiJbe+he55uMr4lQYEigdYWZ7cqEEZ+8FdwA5ue6vkqyZXbhWrQPLEsSFDhpCfn09WVpZ6DJPJlJJeoWSoKmNRjqeId6V6rNFoyMrKwul04vF4iMfjZGRkqBOulIlvirUFoKmpCY1GQ0FBAY2NjXi9XoxGIwMHDqS5uZn33nuPc845B41Gw9atW9m+fTsnn3wyLS0tbN68mVgsRu/evenXrx8DBgzAbDbT1taWIuY2b96M0+lk9uzZvPTSS8yZMwe9Xq8KcoUvvviCgQMH4nA4mDt3Lvv37ycvL49du3b1+HkvLS1VxT0kbrYOvkFUeOuttygqKuoxeupgzGYzhYWFzJs3T51cmHyer9t31qxZtLW1dXt9yXxdnJ1AIBB8mwhBK/jGiMViPc62VjiSzM6e0Gq1uFwuXC6XKmQV8ZKTk8OyZcu67WOz2TjttNPo6uqipqaGL7/8kiFDhlBSUkJlZSWBQIDRo0fjdDqxWq0sXryY2bNnq9vKssyoUaMoKSlBr9fj9XrZtm0bDoeDnJwcQqEQmZmZaieuZAGmpAcoYlAJ/M/Pz1fjs2KxGM888wwajUaNiFIEkSJMFduCIiSTrwd8JQwPtnEo9gXlkbUiRpVtlbEm585Cakew5C5kiuBVxqa8xmSBrIw5Go2qs/OViW7KsRSBrVR5leYRii83Ho+rlVzFW6t0E1Mm9CnWBqWyarfb1eYMHo+HpqYmJElSu6AVFBSwb98+VqxYwbx582hubmbMmDFEo1FWrFhBY2Mjc+bM4eOPP07Jd123bh3bt29n7ty59O/fv8esWo/Hw7p16xgyZAhVVVX06tWLqqqqHj/DBoOBiooKioqK1Bzbg+0Zys1b8hMPt9vdbTuFQCCgTp48UpLj2/4bMjMz1e9hTzeP0HMmt0AgEHxXCEEr+MbQ6XRkZWXR1NTU43plUtX/D3a7nfPPP5/W1lZcLhfBYLDHWdxjx44lGAzy6aefUl9fz+jRo4nH4zz33HPqNtu3byctLY3TTz+dWbNmsXTpUvWx8cyZMzGZTGzfvp3W1lY8Hg9Dhw6lpaWFsrIy9XG3UqXUarWEw+GUqC2tVksoFFKjxbq6utQqpDKpLLkjWvKjd+WRt5L1qUz+SY66AtR1PVVrLRYLfr8fjUajNiNQhPOhqrvKOBRfbHKig7KtUkFNzrNVxqdcDyWeS4lUS47FUo4VDAbV9AyNRoPH42Hfvn0MGjSIQCBAZ2enKpjT09PVJAVlrCaTiXfffRe9Xs+AAQN47bXXmDRpEnl5eQSDQbZv305DQwMOh4PTTjuNXbt2UVZWplZ2GxsbSUtLIxKJpIhZjUbDgAED6NevnyrC09PTaeuhAcLOnTuZP38+O3bs6HZjYbfbmTx5spqvajAYMBgM2Gw2Lr74YpYuXao2IsjPz2f27Nnd/KxfV0U9komW3wQajYaMjAxOOumklIgvhaysrCO2EwkEAsG3gRC0gm8Mq9XKjBkzUkSjgtFopLy8/Bs5T1paGmazmfPPP5+VK1cyZMgQdTa4Qm5uLl1dXdTX16PRaOjduzdvvPEGJ554IllZWWpVb/369WzevJnBgweniNny8nLq6+uJx+MMGjQIo9GoRj0FAgG0Wi1ut5va2lr69eunCtyWlhb18bdSWVXOZTQaVYF4cFU0WThGo1F1v+SqqRLFBV/5U5NtBgrJ4lSJpUquxiafP1kcKz8rVdXkn5MtBor/VlmuiNvk12YymdQKrVJpliRJrcoqVWmlPaxGo8HhcFBcXEwsFsNut6uT80KhELt27aK0tFSN81Kqk1OnTmX79u1s2LCBCy64QL1mzz//fMrj8W3btjFz5kw1QkyZ2FRcXJySomE2m5k7dy5bt25lyZIlRKNR8vPzmTFjBhs2bEjZNvm69+nTR5105XQ6mTFjhiqUlXQJh8Oh3lCUlpZy6aWXpmTuHtxYQDmW8tk7mMzMzB73+TYpLS1l/vz5vPfee3R2dqrif8aMGT12IRQIBILvCiFoBd8oBQUFnHHGGbz33nvqH+GMjAzmz59/RLOpjxSTyYTJZGLWrFmEw2E2b96cUkEzGAzs3bsXSMSwNTc3M3v2bJYvX672brdYLEyaNAm32636VPv06UNaWhqPPfYYWq2WiooKzGYzJSUlakclt9uN2WzGarXSq1cvVq5cSSAQ4JRTTiEnJ0cVfYqQVYRocvVW8dgmR3QlV3tjsZhqTQBUT22y1zXZy3qwMFX2ga8SCZTzKeuSxXBPwjgZ5fUolWelmqzk3irrlYlqyfm8SiSUUo1WGhso1ya52qxMoFMEtfLvsrIy4vE4NTU1KaJ4z549DBgwAJ1Ox1tvvUUsFqNPnz5qvFtya9hly5ZRXl6unkd5vcmV1VmzZvHee++pmbGQmGD44osvJrrN1dentNjNzs4mEolQUFDAiSeeyLZt2zjhhBN49dVXUyZ/GQwGfvSjH6kNFCBRwf06EWiz2Zg/fz4vvPBCSjXfYDAwb968/6/85/8Fk8mketqTE0cO1yVQIBAIvguEoBV8o5jNZoYOHUpZWRmBQEBtRfttVW+U41588cXs2rWLTZs2qbPpFa+gVquluLiYRYsWpfSL9/v9vPvuu5x55pnqH+Rx48bx7LPPMnr0aMrKytiyZQtut5tAIEBra6s6QWzv3r20tbXRp08fMjMzVV9me3u7Wn1UqrLBYJC0tLSUCCuA8847j5aWFjIzM1m0aJHqdU1uuao8zldirKB7+9nkVIKD1ytiUxGzirg8uCqbLGR78tQq4jTZ45tsW1AEq0ajYf78+Wryw/PPP69OCktObAiFQilCUqngGo1Gurq68Hg8ajequro6tm/fjk6no3///ng8HtasWcOIESOoqKjgjTfeoKamRj1Wc3Mzmzdv5vTTT+eFF15IsUu0trZis9no06cPn376Kbt372bmzJlUVlaqftxkMZt8jT/77DOGDx/Oxx9/rL7+GTNmkJeXh81mIzMzk969e/Piiy92SzIIh8M8//zzXHHFFf+V51Wr1VJSUsJVV13F5s2baW5upri4mIqKiv/qON8kkiR1a9stEAgERxshaAXfOMmTuL4rnE4no0aNYuDAgaowHDx4MOvXryccDtPa2poiZpP57LPPmDdvHrm5uTQ0NDBo0CAsFgsLFy5k8ODB2O12nnzySfXxO0D//v3p378/6enp7N27l0ceeYRYLEZWVhZTpkyhsrISt9vN6aefjsVioaWlBbPZrKYeaDQaNm7cqDYgUDpDKSIxuWKanDZwMD1VapM5uI3uoTyXyedL9sImV0qV4wBqdS7Z86vYJTZu3EhDQ4OapRqJRNTECYPBQCwWw2AwEAgE0Ov1NDQ0qEkFJpOJyspKVq9ejclkYsqUKbS3t6uP+rdt28a4ceOYMWMGy5Yto62tjcLCwhRBC9DZ2UlVVRW9e/dOSRSQZZn09HQikQjTp0/ngw8+IBgM0rdvX2RZ7paxmkxNTQ3jx49Ho9FQXFzM9OnTyc7OTqlOhsNh6urqetzf7/fT2dn5XwtRpfnHtGnTUuwgAoFAIPgKIWgFxxXJPeWVrkxtbW2H7fjW3NyMJEkUFxfj9XoZPHgwL7zwAhqNhsGDB7N7927OP/98daKTz+fjk08+YezYsSxZsoSWlhb1WC0tLSxevJhzzz2XjIwMqqqqVFE9ffp08vLy8Hg8aiC+QnJDA2WymVIVVYSlYmFQ7AsKyX7XnkiO6EoWQwdXZpMFcbJITm76oAjX5LSDZDF7MMq+dXV15OTksH37dnbs2IFer2fQoEHqJKktW7awYcMGdDodI0aMYP78+bz88su88847nHnmmaSlpWG32znhhBNoampi//79TJw4UfWefvbZZ93sEpWVlYwfPz5F0Obn52O32wmHwwwaNIj+/fuzbds2Ro4ciclkOmScFiQet2dnZ3P99derjRsOpqdrkEwwGDzs+q9DiFmBQCDoGSFoBcctdrudSZMmdWufezAOhwOj0ci4ceNob2+nubmZeDyuZoL6/X6ef/55dXuXy8Xpp59OMBhMEbPJmM1mli5dqlYOZ8yYgV6vp7m5WRXFij9WqXwqUVg+n0+tZCaLymSSK7mHq9op+ydnzyr0JGaVJAVlQpcS86UsT95WsZQo/1YmvSUTi8Xo6uqioKCALVu2YDQaGTt2LICaA5yXl0deXh7t7e3s27ePNWvW4Pf7GT16NJ9//jmrV69m0qRJ6PX6bi1c7XY75513HpmZmd3ei4MF/pQpUzCZTNTX17Ny5UpaWlrIyspi8uTJZGRkYDQaMZvNfPLJJz1eSyXm7XDd7kwm0yEncQEiCUAgEAi+JY672/3KykpmzpyJ1WolNzeXm2++WW0lKvjhYTabycnJYeDAgYcUIpMmTcLhcJCWlkZ2drYq9EpKSqiqqmLz5s0p27vdbl555RV1YtHBKJ3AFDHrcrnIy8ujrq4Ok8nEO++8k1Kpi8Vi7NixA7fbrVaLQ6EQHo8Hn89HR0eHGncVCoXo6uqiq6uLUCiE3+/H5/Ph9XpVEZrMwb7anqq4iq81GAzi9/sJhUIEAgGCwSDhcFgdSzAYVH3ESqzWU089xYoVKwgEAmpbVOWcsizT3t6Ox+MhFotRXl7O5s2beemll1i8eDEdHR0MHTqUjIwMVq1axahRo9QxbdmyhbKyMiBRQc/NzWXp0qXdupF5vV7effddBg0a1O11DRo0iKamJkpKSrjooovUtsePPfYYO3bsoL29nR07dvDYY4+xa9cuYrEYDoeD2bNndztWYWEho0aN+trWzXa7nWnTpvW4bujQoT22pxUIBALB/z/HVYW2o6ODE088kT59+vDKK69QV1fHggUL8Pv9PPjgg0d7eIKjiNPp5MILL2TRokUp1bNRo0bRv3//lJnnvXv35v333ycrK4vXXnutx+MpQtJms6XMeoeE+Nm6dav686BBg9S2sitWrECv16vdxBSampr48MMPmTt3Lh999BHbt29X1/Xp04fp06fz+uuvs2/fPjQaDVdeeaU6Ua2zs5PevXvT2dmpBucrXco0Go0qTJVKsMPhIBqNqlm3Pp8PnU6nxow1Nzfz9ttvEwgE6NWrF5MnT8bv97Nw4UIKCwuZOnWq6us96aSTePXVV2lqauL0009XJ7Ep12jRokUUFhZy6qmn8vrrr6u5q/F4nF27dtHY2MhZZ51FXl5eN7GoxG5lZWXR2dl5yKqn4m1NJj09nVGjRqn2DJPJhMfj4Y033ujxGEuXLlW7bg0cOJCioiKqqqrw+/307t2b9PT0I0oU0Gq1DB48GLPZzIcffojH48FsNjNhwgSGDRvWzWoiEAgEgm+G40rQPvzww3R2dvLqq6+qj/ai0ShXX301t912G/n5+Ud5hIKjhZJ0cNVVV9HR0aF2+rJard1EhsPhYMKECciyfEgRBYlOUT0JWqVxgoLL5aKxsZHc3FyWL1/O2WefTXV1dcr2X375JUOHDqWqqipFzAIMHz6cZ599Vj3PmWeeSTweZ9WqVUSjUSZPnsyOHTvo06ePmu2qtJX1eDx88MEH7Ny5k3g8Tl5eHrNmzSItLU1NPNDr9SxatIgzzzyTWCxGRkaGOpFr+/bt7Ny5k8suu4xRo0axbt063njjDU499dSUVr/Nzc2Ew2G1spvM/v37ee655zj11FN56aWXUtZ5vV6ampp6nCil2BdGjRrV7RofjNVqpaSkhGg0ytChQ+nTp0+3Y/p8vkO+n6FQCJ/Ph9PpxGAwkJmZSWZm5mHPeSgsFgtDhgyhtLSUaDSKRqPBbrcL/6tAIBB8ixxXv2HffvttZsyYkeJTO+ecc5Blmffee+8ojkzwfUCr1eJ0OikpKaFfv35kZGT0WDEzmUyccMIJpKen9zjxRyE7O5tp06Z1e4wfCoUYPHiw+nNra6vqkYWEYM7KylInECmWmH79+nWzN2RkZODxeFRBp9Fo1E5YX375JZMmTaKjo4P09HQ1mSAQCACJmf5PP/00O3bsUG0ADQ0NPP3003R1damNCwwGA7m5ubz66qtqJu+pp56qjiEWi/H+++8zcuRIANUKodVq8fl8FBQUAImq68qVK3u8VootoicPaXV1tdrNLPnadnR0MGbMGFwu12GTASwWCw6Hg/POO48LL7yQUaNG/U+RVoeaVPe/YrfbSUtLw+l0CjErEAgE3zLH1W/ZyspKKioqUpYp/sXKysqjNCrBsYjFYiE7O5uJEyf2uN7hcJCdnU1paSnXXnstZ5xxBtOmTePSSy9l9uzZWK1WRowYAcC6desoKipSEwyU7lAHNzNQUgSSyczMpKGhQf3ZZrMhSRJVVVVqhXXLli2YTCZ1sllaWhomk4m9e/f2WNmUZZkVK1aobXEhMWHK7XZjNBppaWkhOzs7ZR/F6qDQ1tamVmgVIWo2mw85SQ4StoqeBK3dbqe8vJw1a9YAie/svHnz6Nu3L9OmTaO0tJSsrKyUm4RkZs6cqXYWO9wjfavVesgblEN16hIIBALBsYEUP1RroGMQvV7P3Xffza233pqyfNCgQUyYMIFHH320x/3uv/9+7r//fvVnJUdSqYYJfrgozRAUDyokKr1ms/lrq25KMkByhy8l5spgMNDS0qJ237LZbFgsFrUVrIJOp0Or1aqPyiVJwmq1EolECIfDWK1WgsEgBoNBjfZSGicEAoGUqmcyynGSRXVXV5cq+HQ6XUpzAGV7RSArrz8ej6sVYavVqmatKkkIyb5To9GoeneTUcahxJMli/2Dr6fyupXXqeT6Hml1NRqNdrvGkiRhNpu7JTQIBAq5ubmsW7fuaA9DIBAcBvEbnMSj2Z7C0GVZPmRIuuCHjdvt/saOFY/H8Xq93bpLHYrkdq7J//5v6Wnfw40hefuetjv4eMrr+rpjH+nr/jb5/7mOAoFAIDj6HFeCNi0tDY/H02254jE8FA6HQ/UBQqJ3OySqVAc/ej2aNDQ0qJmjonLcHXF9Do24NodHXJ9DI65NokIrEAi+3xxXgraioqKbV9bj8dDQ0NDNW5vMggULWLBgwbc9vP9vCgsLqaurIy8v77Cdr36oiOtzaMS1OTzi+hwacW0EAsGxwHE1KeyUU05h2bJlKY+DX3rpJTQaDSeddNLRG5hAIBAIBAKB4FvjuBK0V155JXa7nTlz5vDee+/x5JNPctNNN3HllVeKDFqBQCAQCASC45TjynKQlpbGBx98wHXXXcecOXOw2+385Cc/4fe///3RHto3woIFC+js7MThcBztoXwvEdfn0Ihrc3jE9Tk04toIBIJjgeMqtksgEAgEAoFA8MPjuLIcCAQCgUAgEAh+eAhBKxAIBAKBQCA4phGCViAQCAQCgUBwTCMErUAgEAgEAoHgmEYI2uOAUCjEsGHDkCSJjRs3Hu3hHHWqq6u5/PLLKS0txWw2U15ezh133EE4HD7aQztqPPTQQ5SUlGAymRg7dixr1qw52kM66vzxj39k9OjR2O12srOzmTNnDjt27Djaw/pecs899yBJEjfccMPRHopAIBD0iBC0xwE333yzyNlNorKyElmWeeSRR9i6dSt//etfefjhh7ntttuO9tCOCosWLWLBggXccccdfPHFFwwdOpRZs2bR3Nx8tId2VFmxYgXXXHMNq1ev5v333ycSiXDSSSfh8/mO9tC+V6xdu5ZHHnmEIUOGHO2hCAQCwSERsV3HOG+//TYLFizg5ZdfZuDAgWzYsIFhw4Yd7WF97/jzn//Mv/71L/bs2XO0h/KdM3bsWEaPHs2DDz4IgCzLFBUVcd1113Hrrbce5dF9f2hpaSE7O5sVK1YwefLkoz2c7wVdXV2MGDGCf/7zn/zud79j2LBhPPDAA0d7WAKBQNANUaE9hmlqauKnP/0pzzzzDBaL5WgP53uNx+MhPT39aA/jOyccDrN+/XpmzJihLtNoNMyYMYPPPvvsKI7s+4fH4wH4QX5ODsU111zDaaedlvL5EQgEgu8jx1WnsB8S8XicSy+9lCuvvJJRo0ZRXV19tIf0vaWqqop//OMf/OUvfznaQ/nOaW1tJRaLkZOTk7I8JyeHysrKozSq7x+yLHPDDTdwwgknMGjQoKM9nO8FCxcu5IsvvmDt2rVHeygCgUDwtYgK7feMW2+9FUmSDvtfZWUl//jHP/B6vfzqV7862kP+zjjSa5NMXV0dJ598MmeffTY//elPj9LIBd93rrnmGrZs2cLChQuP9lC+F9TW1nL99dfz3HPPYTKZjvZwBAKB4GsRHtrvGS0tLbS1tR12m7KyMs455xzeeOMNJElSl8diMbRaLRdeeCH/+c9/vu2hfucc6bUxGAwA1NfXM3XqVMaNG8dTTz2FRvPDu38Lh8NYLBYWL17MnDlz1OWXXHIJbrebJUuWHL3BfU+49tprWbJkCStXrqS0tPRoD+d7wWuvvcbcuXPRarXqslgshiRJaDQaQqFQyjqBQCA42ghBe4xSU1NDZ2en+nN9fT2zZs1i8eLFjB07lsLCwqM4uqNPXV0d06ZNY+TIkTz77LM/6D++Y8eOZcyYMfzjH/8AEo/Xi4uLufbaa3/Qk8Li8TjXXXcdr776KsuXL6dPnz5He0jfG7xeL/v27UtZdtlll1FRUcEtt9wibBkCgeB7h/DQHqMUFxen/Gyz2QAoLy8XYraujqlTp9KrVy/+8pe/0NLSoq7Lzc09iiM7OixYsIBLLrmEUaNGMWbMGB544AF8Ph+XXXbZ0R7aUeWaa67h+eefZ8mSJdjtdhobGwFwOp2YzeajPLqji91u7yZarVYrGRkZQswKBILvJULQCo473n//faqqqqiqquom7n+IDyTOPfdcWlpauP3222lsbGTYsGG888473SaK/dD417/+BcDUqVNTlj/55JNceuml3/2ABAKBQPA/IywHAoFAIBAIBIJjmh/eLBmBQCAQCAQCwXGFELQCgUAgEAgEgmMaIWgFAoFAIBAIBMc0QtAKBAKBQCAQCI5phKAVCAQCgUAgEBzTCEErEAgEAoFAIDimEYJWIBAIBAKBQHBMIwStQHCMIEkSJSUlR3sYR8T69es56aSTcLlcSJKEJElUV1cf7WEJBAKB4DhFdAoTCATfKF6vl9mzZ9PQ0MDUqVMpKipCkiS1PbNAIBAIBN80QtAKBIJvlLVr11JfX8/FF1/M008/fbSHIxAIBIIfAMJyIBAIvlH2798PQFlZ2VEeiUAgEAh+KAhBKxAcB7z11lvMnDmTtLQ0TCYT/fr149Zbb8Xtdve4vc/n49Zbb6WkpASTyUTv3r25++67iUQilJSUIEnSfz2G6upqJEnikksuAeDOO+9U/bOXXnppyraff/455513HgUFBRiNRvLy8pg+fTqPPfbYf31egUAgEAikeDweP9qDEAgEX48kSfTq1avb5Ko//vGP3Hbbbeh0OqZMmUJmZiarVq1i//799O3bl5UrV5KTk6NuHwqFmDp1KqtXryY9PZ1p06YRCoX48MMPOemkk9iwYQP79u3jv/3V0Nrayo033khVVRWrVq1i6NChDBs2DICJEyfyk5/8BIC//e1vLFiwAFmWGTlyJH369KG1tZUvv/ySUCh0SBEuEAgEAsEhiQsEgmMCIN6rV6+UZWvWrIlrNJq4zWaLr169Wl0eDAbjZ599dhyIn3XWWSn73H333XEgPmbMmHhHR4e6fO/evfGioqI4EP//+dXw5JNPxoH4HXfc0W3dihUr4pIkxe12e3zZsmUp6yKRSPzNN9/8n88rEAgEgh8uwnIgEBzDPPjgg8iyzHXXXcfYsWPV5UajkQcffBCz2cyrr75KbW2tuu7hhx8G4L777sPlcqnLS0pKuP3227/V8d5zzz3E43H+7//+j+nTp6es0+l0nHrqqd/q+QUCgUBwfCIErUBwDPPxxx8DcOGFF3Zbl52dzUknnYQsy6xatQqAffv2UVdXR25uLhMnTuy2z7nnnvutjTUajbJ8+XIArrjiim/tPAKBQCD44SEErUBwDFNfXw9wyIYLyvK6ujoAGhoaACgqKupxe7vdnlK1/SZpa2sjEAiQnp5OWlrat3IOgUAgEPwwEYJWIDiO+V/SCgQCgUAgONYQglYgOIbJz88HElaCnlASEQoKCgDIy8sDSPHUJuP1er+1lIHMzEzMZjPt7e0iyUAgEAgE3yhC0AoExzCTJk0C4IUXXui2rqWlhXfffRdJkjjhhBMA6NWrFwUFBTQ2NvLpp5922+ell1761saq1WqZOnUqAI8++ui3dh6BQCAQ/PAQglYgOIa55ppr0Gg0/P3vf2fdunXq8nA4zHXXXUcgEGDevHkpntkrr7wSgF/+8pd4PB51+b59+7jrrru+1fHecsstSJLE73//ez766KOUddFolLfeeutbPb9AIBAIjk90R3sAAoHgf2fMmDHcfffd/N///R/jx49n6tSpamOF2tpa+vTpw0MPPZSyz0033cSbb77J6tWrKS8vT2msMH36dOLxuDp57JtmypQp3Hvvvdx8882ceOKJjBo1Sm2ssGnTJtFYQSAQCAT/E6JCKxAc49x2220sXbqUKVOmsHbtWl555RWMRiM333wzn3/+eUqXMEhk1L7//vvcfPPNWK1WXn/9dbZu3covf/lLFi1aRFNTExkZGd/aeG+88UZWrFjB3LlzqampYfHixWzZsoXBgwdz3333fWvnFQgEAsHxi2h9KxAIVFavXs348eM5+eSTefvtt4/2cAQCgUAgOCJEhVYg+AGyYcMGZFlOWbZnzx5+9rOfAXDRRRcdjWEJBAKBQPA/ISq0AsEPkIqKCjweD4MHDyYjI4OamhrWr19PKBRi9uzZvPbaayLDViAQCATHDELQCgQ/QB566CFefPFFduzYQXt7OyaTiQEDBnDRRRdx5ZVXotMl5ot+8skn/Pvf/z6iY86ZM4c5c+Z8i6MWCAQCgaBnhKAVCASH5KmnnuKyyy47om3vuOMOfvvb3367AxIIBAKBoAeEoBUIBAKBQCAQHNOISWECgUAgEAgEgmMaIWgFAoFAIBAIBMc0QtAKBAKBQCAQCI5phKAVCAQCgUAgEBzTCEErEAgEAoFAIDimEYJWIBAIBAKBQHBMIwStQCAQCAQCgeCYRghagUAgEAgEAsExjRC0AoFAIBAIBIJjmv8H5mmozcQ9ofMAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# COVID in males vs healthy males\n", + "cc.plot_volcano(\"COVID_SEV_male_vs_HV_male\", results_df=res_source_sex)" ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "all_contrasts = ptc.build_all_pairwise_contrasts(pdata, condition_cols)\n", - "\n", - "vs_hv = [c for c in all_contrasts if \"HV\" in c[\"group\"] or \"HV\" in c[\"baseline\"]]\n", - "print(\"Contrasts vs HV:\", [c[\"label\"] for c in vs_hv])\n", - "\n", - "res_vs_hv, models_vs_hv = ptc.ConditionComparison.run_once(\n", - " pt.tl.PyDESeq2,\n", - " pdata,\n", - " condition_cols=condition_cols,\n", - " subset_contrasts=vs_hv,\n", - ")\n", - "res_vs_hv[\"contrast\"].unique()" - ] - }, - { - "cell_type": "markdown", - "id": "00457f75", - "metadata": {}, - "source": [ - "## Inspect and visualise results\n", - "\n", - "### How many genes are differentially expressed per contrast?\n", - "\n", - "We first look at the number of DE genes (FDR < 0.05) per contrast to get\n", - "a sense of which comparisons are most informative." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "5f2a7923", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "contrast\n", - "HV_male_vs_COVID_SEV_female 6316\n", - "COVID_SEV_female_vs_HV_female 4135\n", - "COVID_SEV_male_vs_HV_male 3641\n", - "COVID_SEV_male_vs_HV_female 2377\n", - "COVID_SEV_male_vs_COVID_SEV_female 231\n", - "HV_male_vs_HV_female 70\n" - ] - } - ], - "source": [ - "# Number of significant genes per contrast (FDR < 0.05)\n", - "sig = res_deseq2[res_deseq2[\"adj_p_value\"] < 0.05]\n", - "n_sig = (\n", - " sig.groupby(\"contrast\")[\"variable\"]\n", - " .count()\n", - " .rename(\"n_sig_genes\")\n", - " .sort_values(ascending=False)\n", - ")\n", - "print(n_sig.to_string())" - ] - }, - { - "cell_type": "markdown", - "id": "n_sig_interpretation", - "metadata": {}, - "source": [ - "The contrast with the most DE genes is `HV_male_vs_COVID_SEV_female`. This is expected: it conflates\n", - "two orthogonal biological signals (disease status *and* sex) so genes\n", - "driving both effects are captured simultaneously. The contrast with the\n", - "fewest DE genes (`HV_male_vs_HV_female`) reflects pure\n", - "sex differences in healthy individuals.\n", - "\n", - "Most interesting are the within-sex disease comparisons\n", - "(`COVID_SEV_female_vs_HV_female` and `COVID_SEV_male_vs_HV_male`): comparing\n", - "their DE gene counts tells us whether the transcriptional response to COVID-19\n", - "is stronger in one sex than the other." - ] - }, - { - "cell_type": "markdown", - "id": "volcano_intro", - "metadata": {}, - "source": [ - "### Volcano plots: COVID-19 response within each sex\n", - "\n", - "We visualise the two within-sex disease contrasts side-by-side. If the\n", - "response is sex-dimorphic, we expect different genes or different effect sizes\n", - "between the two plots." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "d61de6c1", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "NaNs encountered, dropping rows with NaNs\n" - ] }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "id": "volcano_interp", + "metadata": {}, + "source": [ + "Comparing the two volcano plots, we can see whether men or women show a\n", + "stronger or qualitatively different transcriptional response to severe\n", + "COVID-19. Top hits appearing in both contrasts represent a robust,\n", + "sex-independent COVID-19 signature; hits unique to one contrast suggest\n", + "sex-dimorphic regulation." ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# COVID in females vs healthy females\n", - "cc.plot_volcano(\"COVID_SEV_female_vs_HV_female\", results_df=res_source_sex)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "volcano_male", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "NaNs encountered, dropping rows with NaNs\n" - ] }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "id": "top_genes_intro", + "metadata": {}, + "source": [ + "### Top DE genes across all contrasts" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# COVID in males vs healthy males\n", - "cc.plot_volcano(\"COVID_SEV_male_vs_HV_male\", results_df=res_source_sex)" - ] - }, - { - "cell_type": "markdown", - "id": "volcano_interp", - "metadata": {}, - "source": [ - "Comparing the two volcano plots, we can see whether men or women show a\n", - "stronger or qualitatively different transcriptional response to severe\n", - "COVID-19. Top hits appearing in both contrasts represent a robust,\n", - "sex-independent COVID-19 signature; hits unique to one contrast suggest\n", - "sex-dimorphic regulation." - ] - }, - { - "cell_type": "markdown", - "id": "top_genes_intro", - "metadata": {}, - "source": [ - "### Top DE genes across all contrasts" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "98ab18c3", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
variablelog_fcadj_p_valuecontrast
62669NLGN4Y6.9384959.139796e-13HV_male_vs_COVID_SEV_female
104790IGHV7-4-16.4795912.700344e-05COVID_SEV_female_vs_HV_female
41625PPP1R2C-6.1094625.559397e-16COVID_SEV_male_vs_HV_female
63686IGHV2-70D-6.0578142.458839e-06HV_male_vs_COVID_SEV_female
63105MT1M-5.9797591.507049e-08HV_male_vs_COVID_SEV_female
42879RPS4Y25.9340488.287526e-03COVID_SEV_male_vs_HV_female
41889IGLV1-36-5.9104071.064951e-05COVID_SEV_male_vs_HV_female
105075NEBL-5.9010761.273689e-04COVID_SEV_female_vs_HV_female
42196CH25H5.7455143.765922e-04COVID_SEV_male_vs_HV_female
41754SCARA5-5.6765292.323386e-07COVID_SEV_male_vs_HV_female
83251IGHV3-72-5.6763033.340620e-04HV_male_vs_HV_female
104206RBP45.6633381.104282e-09COVID_SEV_female_vs_HV_female
107360IL225.6152352.371759e-02COVID_SEV_female_vs_HV_female
83228RPS4Y15.5765030.000000e+00HV_male_vs_HV_female
106927TNFAIP8L35.4539191.403992e-02COVID_SEV_female_vs_HV_female
105259NCKAP5-5.4291602.752898e-04COVID_SEV_female_vs_HV_female
106912MMP25.4034711.366702e-02COVID_SEV_female_vs_HV_female
104389KCTD145.3088833.353649e-07COVID_SEV_female_vs_HV_female
62535IFI27-5.3056651.033737e-16HV_male_vs_COVID_SEV_female
43859PDE3A5.2889274.263431e-02COVID_SEV_male_vs_HV_female
\n", - "
" + "cell_type": "code", + "execution_count": 21, + "id": "98ab18c3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
variablelog_fcadj_p_valuecontrast
62669NLGN4Y6.9384959.139796e-13HV_male_vs_COVID_SEV_female
104790IGHV7-4-16.4795912.700344e-05COVID_SEV_female_vs_HV_female
41625PPP1R2C-6.1094625.559397e-16COVID_SEV_male_vs_HV_female
63686IGHV2-70D-6.0578142.458839e-06HV_male_vs_COVID_SEV_female
63105MT1M-5.9797591.507049e-08HV_male_vs_COVID_SEV_female
42879RPS4Y25.9340488.287526e-03COVID_SEV_male_vs_HV_female
41889IGLV1-36-5.9104071.064951e-05COVID_SEV_male_vs_HV_female
105075NEBL-5.9010761.273689e-04COVID_SEV_female_vs_HV_female
42196CH25H5.7455143.765922e-04COVID_SEV_male_vs_HV_female
41754SCARA5-5.6765292.323386e-07COVID_SEV_male_vs_HV_female
83251IGHV3-72-5.6763033.340620e-04HV_male_vs_HV_female
104206RBP45.6633381.104282e-09COVID_SEV_female_vs_HV_female
107360IL225.6152352.371759e-02COVID_SEV_female_vs_HV_female
83228RPS4Y15.5765030.000000e+00HV_male_vs_HV_female
106927TNFAIP8L35.4539191.403992e-02COVID_SEV_female_vs_HV_female
105259NCKAP5-5.4291602.752898e-04COVID_SEV_female_vs_HV_female
106912MMP25.4034711.366702e-02COVID_SEV_female_vs_HV_female
104389KCTD145.3088833.353649e-07COVID_SEV_female_vs_HV_female
62535IFI27-5.3056651.033737e-16HV_male_vs_COVID_SEV_female
43859PDE3A5.2889274.263431e-02COVID_SEV_male_vs_HV_female
\n", + "
" + ], + "text/plain": [ + " variable log_fc adj_p_value contrast\n", + "62669 NLGN4Y 6.938495 9.139796e-13 HV_male_vs_COVID_SEV_female\n", + "104790 IGHV7-4-1 6.479591 2.700344e-05 COVID_SEV_female_vs_HV_female\n", + "41625 PPP1R2C -6.109462 5.559397e-16 COVID_SEV_male_vs_HV_female\n", + "63686 IGHV2-70D -6.057814 2.458839e-06 HV_male_vs_COVID_SEV_female\n", + "63105 MT1M -5.979759 1.507049e-08 HV_male_vs_COVID_SEV_female\n", + "42879 RPS4Y2 5.934048 8.287526e-03 COVID_SEV_male_vs_HV_female\n", + "41889 IGLV1-36 -5.910407 1.064951e-05 COVID_SEV_male_vs_HV_female\n", + "105075 NEBL -5.901076 1.273689e-04 COVID_SEV_female_vs_HV_female\n", + "42196 CH25H 5.745514 3.765922e-04 COVID_SEV_male_vs_HV_female\n", + "41754 SCARA5 -5.676529 2.323386e-07 COVID_SEV_male_vs_HV_female\n", + "83251 IGHV3-72 -5.676303 3.340620e-04 HV_male_vs_HV_female\n", + "104206 RBP4 5.663338 1.104282e-09 COVID_SEV_female_vs_HV_female\n", + "107360 IL22 5.615235 2.371759e-02 COVID_SEV_female_vs_HV_female\n", + "83228 RPS4Y1 5.576503 0.000000e+00 HV_male_vs_HV_female\n", + "106927 TNFAIP8L3 5.453919 1.403992e-02 COVID_SEV_female_vs_HV_female\n", + "105259 NCKAP5 -5.429160 2.752898e-04 COVID_SEV_female_vs_HV_female\n", + "106912 MMP2 5.403471 1.366702e-02 COVID_SEV_female_vs_HV_female\n", + "104389 KCTD14 5.308883 3.353649e-07 COVID_SEV_female_vs_HV_female\n", + "62535 IFI27 -5.305665 1.033737e-16 HV_male_vs_COVID_SEV_female\n", + "43859 PDE3A 5.288927 4.263431e-02 COVID_SEV_male_vs_HV_female" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } ], - "text/plain": [ - " variable log_fc adj_p_value contrast\n", - "62669 NLGN4Y 6.938495 9.139796e-13 HV_male_vs_COVID_SEV_female\n", - "104790 IGHV7-4-1 6.479591 2.700344e-05 COVID_SEV_female_vs_HV_female\n", - "41625 PPP1R2C -6.109462 5.559397e-16 COVID_SEV_male_vs_HV_female\n", - "63686 IGHV2-70D -6.057814 2.458839e-06 HV_male_vs_COVID_SEV_female\n", - "63105 MT1M -5.979759 1.507049e-08 HV_male_vs_COVID_SEV_female\n", - "42879 RPS4Y2 5.934048 8.287526e-03 COVID_SEV_male_vs_HV_female\n", - "41889 IGLV1-36 -5.910407 1.064951e-05 COVID_SEV_male_vs_HV_female\n", - "105075 NEBL -5.901076 1.273689e-04 COVID_SEV_female_vs_HV_female\n", - "42196 CH25H 5.745514 3.765922e-04 COVID_SEV_male_vs_HV_female\n", - "41754 SCARA5 -5.676529 2.323386e-07 COVID_SEV_male_vs_HV_female\n", - "83251 IGHV3-72 -5.676303 3.340620e-04 HV_male_vs_HV_female\n", - "104206 RBP4 5.663338 1.104282e-09 COVID_SEV_female_vs_HV_female\n", - "107360 IL22 5.615235 2.371759e-02 COVID_SEV_female_vs_HV_female\n", - "83228 RPS4Y1 5.576503 0.000000e+00 HV_male_vs_HV_female\n", - "106927 TNFAIP8L3 5.453919 1.403992e-02 COVID_SEV_female_vs_HV_female\n", - "105259 NCKAP5 -5.429160 2.752898e-04 COVID_SEV_female_vs_HV_female\n", - "106912 MMP2 5.403471 1.366702e-02 COVID_SEV_female_vs_HV_female\n", - "104389 KCTD14 5.308883 3.353649e-07 COVID_SEV_female_vs_HV_female\n", - "62535 IFI27 -5.305665 1.033737e-16 HV_male_vs_COVID_SEV_female\n", - "43859 PDE3A 5.288927 4.263431e-02 COVID_SEV_male_vs_HV_female" + "source": [ + "# Top DE genes across all contrasts (FDR < 0.05, ranked by |log2FC|)\n", + "(\n", + " sig\n", + " .assign(abs_lfc=sig[\"log_fc\"].abs())\n", + " .sort_values(\"abs_lfc\", ascending=False)\n", + " [[\"variable\", \"log_fc\", \"adj_p_value\", \"contrast\"]]\n", + " .drop_duplicates(subset=\"variable\")\n", + " .head(20)\n", + ")" ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" } - ], - "source": [ - "# Top DE genes across all contrasts (FDR < 0.05, ranked by |log2FC|)\n", - "(\n", - " sig\n", - " .assign(abs_lfc=sig[\"log_fc\"].abs())\n", - " .sort_values(\"abs_lfc\", ascending=False)\n", - " [[\"variable\", \"log_fc\", \"adj_p_value\", \"contrast\"]]\n", - " .drop_duplicates(subset=\"variable\")\n", - " .head(20)\n", - ")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" + ], + "metadata": { + "kernelspec": { + "display_name": "patpy3.12", + "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" + } }, - "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 + "nbformat": 4, + "nbformat_minor": 5 } diff --git a/distances_test_example.ipynb b/distances_test_example.ipynb index 6617255..1c985ba 100644 --- a/distances_test_example.ipynb +++ b/distances_test_example.ipynb @@ -1,444 +1,424 @@ { - "cells": [ - { - "cell_type": "markdown", - "id": "0576edce", - "metadata": {}, - "source": [ - "# Statistical test for the distances between samples from case and control groups\n", - "\n", - "In this notebook, we will obtain a pseudobulk patient representation, and perform a statistical test of distances between samples similar to [Petukhov et al.](https://www.biorxiv.org/content/10.1101/2022.03.15.484475v1.full.pdf)" - ] - }, - { - "cell_type": "markdown", - "id": "982b5ff0", - "metadata": {}, - "source": [ - "## Install patpy" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fe2b1e5c", - "metadata": {}, - "tags": [ - "remove-output" - ], - "outputs": [], - "source": [ - "!pip install git+https://github.com/lueckenlab/patpy.git@main" - ] - }, - { - "cell_type": "markdown", - "id": "d663964e", - "metadata": {}, - "source": [ - "## Import packages" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "983ba9ef", - "metadata": {}, - "outputs": [], - "source": [ - "import scanpy as sc\n", - "import patpy" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d99d93b4", - "metadata": {}, - "outputs": [ + "cells": [ { - "data": { - "text/plain": [ - "'0.8.1'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "patpy.__version__" - ] - }, - { - "cell_type": "markdown", - "id": "36a105cc", - "metadata": {}, - "source": [ - "## Read the data\n", - "\n", - "I will use [COMBAT dataset](https://zenodo.org/record/6120249/files/COMBAT-CITESeq-DATA.h5ad). You can set your own path. This is a dataset of PBMC (peripheral blood mococnuclear cells) from roughly 140 patients. There are different severity stages of COVID-19, healthy controls as well as some Flu and Sepsis patients. Can we detect differences between controls and patients? Let's see!" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "c15dfec8", - "metadata": {}, - "outputs": [], - "source": [ - "ADATA_PATH = \"/Users/vladimir.shitov/Documents/programming/pat_rep_benchmark/data/combat/combat_processed.h5ad\"" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "cd2efb7a", - "metadata": {}, - "outputs": [ + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Statistical test for the distances between samples from case and control groups\n", + "\n", + "In this notebook, we will obtain a pseudobulk patient representation, and perform a statistical test of distances between samples similar to [Petukhov et al.](https://www.biorxiv.org/content/10.1101/2022.03.15.484475v1.full.pdf)" + ], + "id": "0576edce" + }, { - "data": { - "text/plain": [ - "AnnData object with n_obs × n_vars = 783677 × 3000\n", - " obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID', 'ifn_1_score', '_scvi_batch', '_scvi_labels', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'pct_counts_in_top_50_genes', 'pct_counts_in_top_100_genes', 'pct_counts_in_top_200_genes', 'pct_counts_in_top_500_genes', 'total_counts_mt', 'log1p_total_counts_mt', 'pct_counts_mt', 'total_counts_ribo', 'log1p_total_counts_ribo', 'pct_counts_ribo'\n", - " var: 'gene_ids', 'feature_types', 'highly_variable', 'highly_variable_rank', 'means', 'variances', 'variances_norm', 'highly_variable_nbatches', 'mt', 'ribo', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts', 'log1p_total_counts'\n", - " uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'X_scpoli', '_scvi_manager_uuid', '_scvi_uuid', 'genome_annotation_version', 'hvg', 'log1p', 'pca', 'scpoli_distances', 'scpoli_parameters', 'scpoli_samples'\n", - " obsm: 'X_pca', 'X_scANVI_batch', 'X_scANVI_sample', 'X_scVI_batch', 'X_scVI_sample', 'X_scpoli', 'X_umap', 'X_umap_source'\n", - " varm: 'PCs'\n", - " layers: 'X_raw_counts'" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "adata = sc.read_h5ad(ADATA_PATH)\n", - "adata" - ] - }, - { - "cell_type": "markdown", - "id": "892bab5c", - "metadata": {}, - "source": [ - "## Set the parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "dd6105aa", - "metadata": {}, - "outputs": [], - "source": [ - "layer_to_use = \"X_pca\" # Representations of cells to use for sample representation. Must be in .obsm or layers\n", - "sample_id_col = \"scRNASeq_sample_ID\" # Where sample or patient identificators are stored in .obs\n", - "cell_type_key = \"Annotation_major_subset\" # Used for filtering of cells, but not necessary for most methods including pseudobulk\n", - "condition_col = \"Outcome\" # A column in .obs that stores conditions of the samples\n", - "control_level = 6 # Value of condition_col to use as control. All others will be considered the case" - ] - }, - { - "cell_type": "markdown", - "id": "2aaf965e", - "metadata": {}, - "source": [ - "## Quality control of samples" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "a7d077ef", - "metadata": {}, - "outputs": [ + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Install patpy" + ], + "id": "982b5ff0" + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "0 samples removed: \n" - ] - } - ], - "source": [ - "adata = patpy.pp.filter_small_samples(adata, sample_key=sample_id_col, sample_size_threshold=100)" - ] - }, - { - "cell_type": "markdown", - "id": "8651ac51", - "metadata": {}, - "source": [ - "## Initialize the representation object" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "5bcbc398", - "metadata": {}, - "outputs": [], - "source": [ - "pseudobulk = patpy.tl.Pseudobulk(sample_key=sample_id_col, cell_group_key=cell_type_key, layer=layer_to_use)\n", - "pseudobulk.prepare_anndata(adata)" - ] - }, - { - "cell_type": "markdown", - "id": "bff1aeaa", - "metadata": {}, - "source": [ - "## Calculate a matrix of distances between samples" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "8bd2f018", - "metadata": {}, - "outputs": [ + "cell_type": "code", + "metadata": {}, + "source": [ + "!pip install git+https://github.com/lueckenlab/patpy.git@main" + ], + "execution_count": null, + "outputs": [], + "id": "fe2b1e5c" + }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/vladimir.shitov/Documents/programming/patient_representation/src/patpy/tl/sample_representation.py:453: UserWarning: Using data from key X_pca of adata.obsm\n", - " warnings.warn(f\"Using data from key {self.layer} of adata.obsm\", stacklevel=1)\n" - ] + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Import packages" + ], + "id": "d663964e" }, { - "data": { - "text/plain": [ - "array([[0. , 4.64685369, 8.5990148 , ..., 4.5335298 , 5.75458898,\n", - " 7.98608545],\n", - " [4.64685369, 0. , 6.21533269, ..., 6.09671616, 5.47561426,\n", - " 5.28739787],\n", - " [8.5990148 , 6.21533269, 0. , ..., 9.66443214, 7.75928943,\n", - " 4.24893086],\n", - " ...,\n", - " [4.5335298 , 6.09671616, 9.66443214, ..., 0. , 6.25521014,\n", - " 9.3778456 ],\n", - " [5.75458898, 5.47561426, 7.75928943, ..., 6.25521014, 0. ,\n", - " 5.92739653],\n", - " [7.98608545, 5.28739787, 4.24893086, ..., 9.3778456 , 5.92739653,\n", - " 0. ]])" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "distances = pseudobulk.calculate_distance_matrix()\n", - "distances" - ] - }, - { - "cell_type": "markdown", - "id": "a54fd07f", - "metadata": {}, - "source": [ - "## Run statistical test for the distances" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "0b32efef", - "metadata": {}, - "outputs": [ + "cell_type": "code", + "metadata": {}, + "source": [ + "import scanpy as sc\n", + "import patpy" + ], + "execution_count": 2, + "outputs": [], + "id": "983ba9ef" + }, { - "data": { - "text/plain": [ - "{'score': 1.4071983216304598,\n", - " 'p_value': 0.0,\n", - " 'metric': 'distances',\n", - " 'control_level': 6,\n", - " 'normalization_type': 'total',\n", - " 'compare_by_difference': True,\n", - " 'n_unique': 6,\n", - " 'n_observations': 113,\n", - " 'method': 'distances'}" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "total_test_result = pseudobulk.evaluate_representation(\n", - " target=condition_col,\n", - " method=\"distances\",\n", - " control_level=control_level,\n", - " normalization_type=\"total\",\n", - " compare_by_difference=True,\n", - ")\n", - "total_test_result" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "a32f54c4", - "metadata": {}, - "outputs": [ + "cell_type": "code", + "metadata": {}, + "source": [ + "patpy.__version__" + ], + "execution_count": 3, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "'0.8.1'" + ] + } + } + ], + "id": "d99d93b4" + }, { - "data": { - "text/plain": [ - "{'score': 0.7520475783097537,\n", - " 'p_value': 0.0,\n", - " 'metric': 'distances',\n", - " 'control_level': 6,\n", - " 'normalization_type': 'shift',\n", - " 'compare_by_difference': True,\n", - " 'n_unique': 6,\n", - " 'n_observations': 113,\n", - " 'method': 'distances'}" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "shift_test_result = pseudobulk.evaluate_representation(\n", - " target=condition_col,\n", - " method=\"distances\",\n", - " control_level=control_level,\n", - " normalization_type=\"shift\",\n", - " compare_by_difference=True,\n", - ")\n", - "shift_test_result" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "8f615299", - "metadata": {}, - "outputs": [ + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Read the data\n", + "\n", + "I will use [COMBAT dataset](https://zenodo.org/record/6120249/files/COMBAT-CITESeq-DATA.h5ad). You can set your own path. This is a dataset of PBMC (peripheral blood mococnuclear cells) from roughly 140 patients. There are different severity stages of COVID-19, healthy controls as well as some Flu and Sepsis patients. Can we detect differences between controls and patients? Let's see!" + ], + "id": "36a105cc" + }, { - "data": { - "text/plain": [ - "{'score': 1.368932888187764,\n", - " 'p_value': 0.0,\n", - " 'metric': 'distances',\n", - " 'control_level': 6,\n", - " 'normalization_type': 'var',\n", - " 'compare_by_difference': True,\n", - " 'n_unique': 6,\n", - " 'n_observations': 113,\n", - " 'method': 'distances'}" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "var_test_result = pseudobulk.evaluate_representation(\n", - " target=condition_col,\n", - " method=\"distances\",\n", - " control_level=control_level,\n", - " normalization_type=\"var\",\n", - " compare_by_difference=True,\n", - ")\n", - "var_test_result" - ] - }, - { - "cell_type": "markdown", - "id": "70c22131", - "metadata": {}, - "source": [ - "### The interpretation of the results format\n", - "- **score**: difference (or ratio if `compare_by_difference==False`) between the distances in comparison groups with correction for random\n", - "- **p_value**: simulated p-value of the score\n", - "- **n_unique**: number of unique values in `condition_col`. Doesn't really matter in this case, because they transformed to \"case\" and \"control\"\n", - "- **n_observations**: number of samples. Can be less than expected if for some samples value in `condition_col` is missing\n", - "\n", - "For the interpretation of different normalization types, please refer to the page 17 and figure 4 of [Petukhov et al.](https://www.biorxiv.org/content/10.1101/2022.03.15.484475v1.full.pdf)\n", - "\n", - "As we can see here, all 3 appoaches detect significant differences between cases and controls. That is, distances between cases and controls are significantly higher than within these groups. Additionally, variance within patients with diseases is significantly higher than between controls." - ] - }, - { - "cell_type": "markdown", - "id": "3e859c4b", - "metadata": {}, - "source": [ - "## Plot embedding of the data for a sanity check" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "eb995473", - "metadata": {}, - "outputs": [ + "cell_type": "code", + "metadata": {}, + "source": [ + "adata, combat_info = patpy.datasets.combat_preprocessed(return_dataset_info=True)\n", + "display(adata)\n", + "display(combat_info)" + ], + "execution_count": 4, + "outputs": [], + "id": "c15dfec8" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "" + ], + "execution_count": 5, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "AnnData object with n_obs × n_vars = 783677 × 3000\n", + " obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID', 'ifn_1_score', '_scvi_batch', '_scvi_labels', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'pct_counts_in_top_50_genes', 'pct_counts_in_top_100_genes', 'pct_counts_in_top_200_genes', 'pct_counts_in_top_500_genes', 'total_counts_mt', 'log1p_total_counts_mt', 'pct_counts_mt', 'total_counts_ribo', 'log1p_total_counts_ribo', 'pct_counts_ribo'\n", + " var: 'gene_ids', 'feature_types', 'highly_variable', 'highly_variable_rank', 'means', 'variances', 'variances_norm', 'highly_variable_nbatches', 'mt', 'ribo', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts', 'log1p_total_counts'\n", + " uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'X_scpoli', '_scvi_manager_uuid', '_scvi_uuid', 'genome_annotation_version', 'hvg', 'log1p', 'pca', 'scpoli_distances', 'scpoli_parameters', 'scpoli_samples'\n", + " obsm: 'X_pca', 'X_scANVI_batch', 'X_scANVI_sample', 'X_scVI_batch', 'X_scVI_sample', 'X_scpoli', 'X_umap', 'X_umap_source'\n", + " varm: 'PCs'\n", + " layers: 'X_raw_counts'" + ] + } + } + ], + "id": "cd2efb7a" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Set the parameters" + ], + "id": "892bab5c" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "layer_to_use = \"X_pca\" # Representations of cells to use for sample representation. Must be in .obsm or layers\n", + "sample_id_col = \"scRNASeq_sample_ID\" # Where sample or patient identificators are stored in .obs\n", + "cell_type_key = \"Annotation_major_subset\" # Used for filtering of cells, but not necessary for most methods including pseudobulk\n", + "condition_col = \"Outcome\" # A column in .obs that stores conditions of the samples\n", + "control_level = 6 # Value of condition_col to use as control. All others will be considered the case" + ], + "execution_count": 6, + "outputs": [], + "id": "dd6105aa" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Quality control of samples" + ], + "id": "2aaf965e" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "adata = patpy.pp.filter_small_samples(adata, sample_key=sample_id_col, sample_size_threshold=100)" + ], + "execution_count": 7, + "outputs": [ + { + "output_type": "stream", + "text": [ + "0 samples removed: \n" + ] + } + ], + "id": "a7d077ef" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initialize the representation object" + ], + "id": "8651ac51" + }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/vladimir.shitov/miniconda3/envs/sample_representation/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n", - "/Users/vladimir.shitov/miniconda3/envs/sample_representation/lib/python3.11/site-packages/umap/umap_.py:1858: UserWarning: using precomputed metric; inverse_transform will be unavailable\n", - " warn(\"using precomputed metric; inverse_transform will be unavailable\")\n", - "/Users/vladimir.shitov/miniconda3/envs/sample_representation/lib/python3.11/site-packages/umap/umap_.py:1945: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n", - " warn(f\"n_jobs value {self.n_jobs} overridden to 1 by setting random_state. Use no seed for parallelism.\")\n" - ] + "cell_type": "code", + "metadata": {}, + "source": [ + "pseudobulk = patpy.tl.Pseudobulk(sample_key=sample_id_col, cell_group_key=cell_type_key, layer=layer_to_use)\n", + "pseudobulk.prepare_anndata(adata)" + ], + "execution_count": 8, + "outputs": [], + "id": "5bcbc398" }, { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculate a matrix of distances between samples" + ], + "id": "bff1aeaa" }, { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdMAAAHACAYAAAD5vIKYAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAACcZElEQVR4nOzdd3iUVdrA4d87vSQz6ZVAQpcOghABAUUREcUuomBf66pYca2rK2vbVT9Q1oq6siguYMdFpIggUkSlGiC09DrJzCRT3++PSCBmJqRMS3Lu68qlOWfmnZNhZp457TmSLMsygiAIgiC0miLcDRAEQRCE9k4EU0EQBEFoIxFMBUEQBKGNRDAVBEEQhDYSwVQQBEEQ2kgEU0EQBEFoIxFMBUEQBKGNRDAVBEEQhDZShbsBkcjr9ZKfn090dDSSJIW7OYIgCEKYyLJMdXU1aWlpKBT++58imPqQn59PRkZGuJshCIIgRIgjR47QpUsXv/UimPoQHR0N1D15JpMpzK0RBEEQwqWqqoqMjIz6uOCPCKY+HBvaNZlMIpgKgiAIJ53yEwuQBEEQBKGNRDAVBEEQhDYSwVQQBEEQ2kjMmQpCBJFlGbfbjcfjCXdTIo5SqUSlUontakJEEsFUECKE0+mkoKAAu90e7qZELIPBQGpqKhqNJtxNEYQGRDAVhAjg9XrJzc1FqVSSlpaGRqMRPbATyLKM0+mkpKSE3NxcevXq1eQGekEINRFMBSECOJ1OvF4vGRkZGAyGcDcnIun1etRqNYcOHcLpdKLT6cLdJEGoJ77aCUIEEb2tponnR4hU4pUpCIIgCG0kgqkgCIIgtJGYMxXqHduS4fF4UCqVoFBQYa/F65XRa1TEGsVcniAIgi+iZyoAdQtgjhw5Qk5ODrm5uRRUWFjw7SamvfQ+Zz/3Fje+tZQfDxzBVusMd1M7rSNHjnD99dfXr/bt1q0bd911F2VlZc2+xsGDB5Ekie3btwevoYLQCYlgKuB2u8nLy8NmswGgN8fy5GdreX3NZqprHQDsKSjhujc+ZvuR/HA2tdM6cOAAw4cPJycnh//85z/s27ePBQsWsGrVKrKzsykvLw93EwWhUxPBVMDj8dQHUoVCgcXl4ccDR33e9plP11BabWvR9d1uNw6HA7vdjsPhwO12t7nNnc3tt9+ORqPhf//7H+PGjaNr165MnjyZb775hry8PP7yl78AdSdbLF++vMF9Y2JiWLhwIQBZWVkADB06FEmSGD9+fP3t3n77bfr3749WqyU1NZU77rijvu7w4cNceOGFREVFYTKZuPzyyykqKqqvf+KJJxgyZAhvv/02Xbt2JSoqittuuw2Px8Nzzz1HSkoKSUlJ/O1vf2vQtsrKSm688UYSExMxmUyceeaZ/PzzzwF85gQhNEQwFRqkrtNoNGw/XOD3tgdLK7A5mj/Ue+Lw8YEDB8jJyeHIkSM4nXXXEIH25MrLy/n666+57bbb0Ov1DepSUlKYMWMGH374IbIsn/RaP/74IwDffPMNBQUFLF26FIDXXnuN22+/nZtvvplff/2VTz/9lJ49ewJ1CSUuvPBCysvLWbt2LStXruTAgQNcccUVDa69f/9+vvrqK1asWMF//vMf3nrrLaZMmcLRo0dZu3Ytzz77LI888gibNm2qv89ll11GcXExX331FVu3bmXYsGGcddZZoqcttDtiAZJQt9jod16vF7PB/2Z4lUKBqpl7/f44fHyMzWYjPz+ftLS0RvVGo5H09HSRLu4EOTk5yLLMKaec4rP+lFNOoaKigpKSkpNeKzExEYD4+HhSUlLqy59++mnuvfde7rrrrvqyESNGALBq1Sp+/fVXcnNzycjIAOC9996jf//+bN68uf52Xq+Xt99+m+joaPr168eECRPYu3cvX375JQqFgj59+vDss8+yevVqRo4cyfr16/nxxx8pLi5Gq9UC8MILL7B8+XI+/vhjbr755lY8W4IQHiKYCiiVSoxGIzabDafTyaD0ZFQKBW6vt9Ftzx3Um9io5q3qPXH4+I/0er3fQJuXl0dGRgYqlXh5nqg5Pc/WKC4uJj8/n7POOstn/e7du8nIyKgPpAD9+vUjJiaG3bt31wfTzMxMoqOj62+TnJyMUqlskGghOTmZ4uJiAH7++WesVivx8fENHq+mpob9+/cH7O8ThFAQn1YCKpWK9PT0+uAm19h47vJJ3P/RCjze4x/g3RJiuOuc0Rg06mZdt6mTT/R6vd+elM1mw+PxiGD6u549eyJJErt37+aiiy5qVL97925iY2NJTExEkqRGQdflcjV5/T8OHbeWWt3wdSFJks8y7+9f0qxWK6mpqaxZs6bRtWJiYgLSJkEIFfFpJQB1c6UZGRn1+0xTkfjsnlms25tLQWU12T270ic1kSRTVLOveeLw8R+drJcljiA7Lj4+nrPPPptXX32Ve+65p0HwKyws5IMPPmDmzJlIkkRiYiIFBcfnvHNychqcQnNs+PzE5zc6OprMzExWrVrFhAkTGj3+KaecwpEjRzhy5Eh973TXrl1UVlbSr1+/Vv9dw4YNo7CwEJVKRWZmZquvIwiRQARToZ5KpWrQG4wy6LkmIbbV1ztx+NhX3cnuKxw3b948Tj/9dCZNmsTTTz9NVlYWO3fu5P777yc9Pb1+leyZZ57JvHnzyM7OxuPx8OCDDzboHSYlJaHX61mxYgVdunRBp9NhNpt54oknuOWWW0hKSmLy5MlUV1fz/fffc+eddzJx4kQGDhzIjBkzeOmll3C73dx2222MGzeO4cOHt/pvmjhxItnZ2UybNo3nnnuO3r17k5+fzxdffMFFF13UpmsLQqiJ1bxC0BwbPjYajQ3KjUYjGo2mUfmJ9SKYNtSrVy+2bNlC9+7dufzyy+nRowc333wzEyZMYOPGjcTFxQHw4osvkpGRwdixY7nqqqu47777GpxCo1KpeOWVV/jXv/5FWloaF154IQCzZs3ipZde4tVXX6V///6cf/755OTkAHVDs5988gmxsbGcccYZTJw4ke7du/Phhx+26W+SJIkvv/ySM844g+uuu47evXtz5ZVXcujQIZKTk9t0bUEINUkO1qqGdqyqqgqz2YzFYsFkMoW7Oe3eH9MUKpVKVCoVTqdTrOb9XW1tLbm5uWRlZYmjxZognich1JobD8QwrxAQ/gImNB4+PuaP87R/vJ8gCEJ7IT61hDZrSw/TX6AVBEFoT8ScqdAmTSVmyMvLExmNmuB2e6ipceL1ipkWQWjvRJegnWpqWDWUmkrMIPaL+mazOSgoqGT5p9soLKxk2NBMxozugVi9IAjtl/iUa4ciaeHOyfaDiv2iDdXUOlmzbg8v/uOr+rJtPx1i5cqfmX3PmDC2TBCEthDDvO1MpA2riv2iLVNRYeOll79uVG6vdVJVVYPbLb58CEJ7JIJpO9OcYdXmCNRpLccSM/gi9os2tm9fMR5P45zHAC6XR8yfCkI7JYZ5I9wf50ZlWUahUNTnN/2j5gTTQA4T/zGv7x+vJ+ZLG3K5TvalRQRTQWiPxCddBPMX9Lp06cLRo0d9BtST9QRPNkzcmtNaxH7R5uvdO9VvnVKlaHDCiiAI7Yd450aopoJeWVlZo2OroHnDqoEaJv4jlUqFVqvFYDCg1WpFIMX3UHpsjIHLLzut0W0VCglTtB6Vqn0Oi69bt46pU6eSlpaGJEksX778pPdZs2YNw4YNQ6vV0rNnTxYuXBj0dgpCsIhPvAh1sqCXmJjY4Aiz5g6ritW3odHUUPqVV4xi0MAM/r1oA2VlVk45JY0ZV56Gy2UJyGNXV1ipKLJgs9iJijEQk2QmOrb5p/20hs1mY/DgwVx//fVcfPHFJ719bm4uU6ZM4ZZbbuGDDz5g1apV3HjjjaSmpjJp0qSgtlUQgkEE0wh1sqCmUCjo1atXi4dVxerb4GvOUPrp2b0Y0L8LTpcbo0GLJHnJza1q82OXHCnlxRsXsHXlz/Vlw88ZzOw3biExI6HN1/dn8uTJTJ48udm3X7BgAVlZWbz44otA3TFv69ev55///KcIpkK7JIZ5I1Rzgl5rhlXF6tvga+5QusmkJyE+Gr0+MHuDqyusjQIpwJb//cw/blpAdYU1II8TCBs3bmTixIkNyiZNmsTGjRvD1CJBaBsRTCNUsIJeU8eiidW3gRGuofSKIkujQHrMlv/9TEVRYIaRA6GwsLDRMWvJyclUVVVRU1MTplYJQuuJT84IFcwtJ2L1bXCFayjdZrE3WW+varpeEITWE5+eESyYQU+c1hI8x0YVfA31BnMo3Wg2NFlvMDVdH0opKSkUFRU1KCsqKsJkMqHX68PUKkFoPTHMG+HElpP2J1xD6bHJZoafM9hn3fBzBhObbA7K47ZGdnY2q1atalC2cuVKsrOzw9QiQWgbEUwFIQiOjSr06tWL7t2706tXLzIyMoJ6EEF0bBSz37ilUUCtW817a1C3x1itVrZv38727duBuq0v27dv5/DhwwDMmTOHmTNn1t/+lltu4cCBAzzwwAPs2bOHV199lY8++oh77rknaG0UhGAS3Ryh3YmU4+dOJhxD6YkZCTz8n7upKLJgr7JjMBmITQ7+PtMtW7YwYcKE+t9nz54NwKxZs1i4cCEFBQX1gRUgKyuLL774gnvuuYeXX36ZLl268Oabb4ptMUK7JcmyOEXxj6qqqjCbzVgsFkwmU7ibI5wgko6fC6Ta2lpyc3PJyspCp9OFuzkRSzxPQqg1Nx6EdZj3ZCnInnjiCfr27YvRaCQ2NpaJEyeyadOmk153/vz5ZGZmotPpGDlyJD/++GOQ/gIhlCLt+DlBEIRjwhpMj6Ugmz9/vs/63r17M2/ePH799VfWr19PZmYm55xzToM0en/04YcfMnv2bB5//HG2bdvG4MGDmTRpEsXFxcH6M4QQCVZeYUEQhLaKmGFeSZJYtmwZ06ZN83ubY93tb775hrPOOsvnbUaOHMmIESOYN28eAF6vl4yMDO68804eeuihZrVFDPNGJrvdzoEDB/zWd+/eHYMhcrZ/tIQYvmwe8TwJodYuhnlbwul08vrrr2M2mxk82Pfyf6fTydatWxukKVMoFEycOLHJNGUOh4OqqqoGP0LkEXmFBUGIVBEfTD///HOioqLQ6XT885//ZOXKlSQk+E7YXVpaisfj8ZmmrLCw0O9jzJ07F7PZXP+TkZER0L9BCAyRV1gQhEgV8cF0woQJbN++nQ0bNnDuuedy+eWXB3z+c86cOVgslvqfI0eOBPT6QmCIvMKCIESqiP/0MRqN9OzZk549ezJq1Ch69erFW2+9xZw5cxrdNiEhAaVS6TNNWUpKit/H0Gq1aLXagLddCLxw5RWucbqosNXglWWitBpijCLlnSAIx0V8MP0jr9eLw+HwWafRaDj11FNZtWpV/UImr9fLqlWruOOOO0LYSiGYQp0M4Wi5hf9buYEVv/yG2+tlaLdU5kydQK/kBDQqMbQsCEKYh3mbSkFms9l4+OGH+eGHHzh06BBbt27l+uuvJy8vj8suu6z+GmeddVb9yl2oy7zyxhtv8O6777J7925uvfVWbDYb1113Xaj/PKEDKKis5to3lvD59j24vV4AfjpUwIzXFnOotCLMrRMEIVKEtWfaVAqyBQsWsGfPHt59911KS0uJj49nxIgRfPfdd/Tv37/+Pvv376e0tLT+9yuuuIKSkhIee+wxCgsLGTJkCCtWrGi0KEkQmmNr7lEKKqsblbs8Xv5v5UbmXj4Jo7b9Zl4SBCEwwhpMx48fT1PbXJcuXXrSaxw8eLBR2R133NHph3VdTjdl+RUc3HmY6nIrPYdkEp8Whyk+OtxNazc8Xi8rd+7zW//jgSNYax2dPpjOnTuXpUuXsmfPHvR6PaeffjrPPvssffr0afJ+S5Ys4dFHH+XgwYP06tWLZ599lvPOOy9ErRaEwGp3c6adicvtodRqw+XxolerSDQ1L1m5y+ni13W7eXzac9Taj88vj7loJHfOu4G41NhgNblDUSoUJEb73ooDYNbrUCgib0F8dXUNFRV2bDYHUVFaYmIMREcHb8HU2rVruf322xkxYgRut5uHH36Yc845h127dvndyrRhwwamT5/O3LlzOf/881m0aBHTpk1j27ZtDBgwIGhtFYRgiZgMSJEkEjIgFVdZeXf9Nj7a9At2p4u0GBP3Th5Lds+umA1NZ37J31/EDf3uxu1qnKv2uqeu5IqHpkXEnkyPx0tJSTX79hdRUlJNn94ppKSYiYsL7gknLbGnoIRLXvm3z7pHLpjAlaMGI0lSmx8nUJl9ikuqeOHFL9my9WB92fDhWdw3ezJJiaF5LZeUlJCUlMTatWs544wzfN7miiuuwGaz8fnnn9eXjRo1iiFDhrBgwQK/1xYZkIRQ63AZkDqyykobu3fn8+Zba3j3/fUcKiznLx9/zcLvtmJ3ugDIr6zi3v98wdo9B/B6m/7+s3Xldp+BFODjf35OeUFloP+EFvN4vOzancf1N73JY08s5f/mr+SOu97n4UeWUFwcORmo0mNMPHBe44AwtncmEwf0CkggDZTq6ppGgRRgy5ZcXvjHV1RX14SkHRaLBYC4uDi/t9m4cWODTGUAkyZNajJTmSBEMjHMG2bl5VZefGkFGzfWzc2p1UoyB6SwIeewz9u/+NV3nNYjgxSz/7nPggP+k1pUl1vxur1ta3QAlJRW89DDS6itdTUo/y2niLffWcfdd01Cp1OHqXXHReu1XDJiAGf0zWLd3oPYap2M7ZNJWqyJ+KjIygNcUWFvFEiP2bIll4oKe1CHe6FuK9rdd9/N6NGjmxyuLSwsbHGmMkGIZCKYhtmPmw/UB1KAxIRoDpSV+719qdWOzeFs8pqDzujHkhc+9VnX9ZQuaAzhXzCTm1tCTY3vv+PbNbuYNWsMqSkxoW2UH1E6LVE6LVmJ/ntakcBm873/ur7e3nR9INx+++3s2LGD9evXB/2xBCGSiGHeMKqstPPRxw3PWrXXOIk1+O89KCQJzUnmO3sMySS5W6LPuj+9cA2xSeaWNzbASksbbzc5xu324nKJ49RaymhsOouX0RDcLF933HEHn3/+OatXr6ZLly5N3jYlJaXFmcoEIZKJYBpGHo8Ha3Vtg7LKSjsxKi0Gje8hzgmn9CDuJMOLiV3ieX7V45w2eWj9nF5CehyPfjSbftlNb1cIlV69/O/7jY+PQq8Lf+/5j8ryy9n/80H2btlH0aESXE7Xye8UQrGxBoYPz/JZN3x4FrGxwRmWlmWZO+64g2XLlvHtt9+SleW7DSfKzs5m1apVDcpWrlxJdnZ2UNooCMEmhnnDKCpKx/Dh3Vnx9S8Nyj/69w/8bdbZzPnkf9SesJAoMyGWB88/o1n7GlO7J/PworuxlFThcrowmo3Ep8VGzIKZ5CQz/U5JY9fu/EZ1N90wjoSEyFnR63F72PdTLk9f8U8KD9bNR+ujdNz03DWMv+J0omMjo63R0Xrumz2ZF/7xFVu25NaXDx+exf2zJwdtvvT2229n0aJFfPLJJ0RHR9fPe5rNZvT6usecOXMm6enpzJ07F4C77rqLcePG8eKLLzJlyhQWL17Mli1beP3114PSRkEINrE1xodQbo05cqSMP922sNFCnNGje3HjbRPYkV9MfkUVg7umkpkYS1Iz95q2ByWl1bz73npWfrMDl8tDQkI0N98wnpEjuwd9oUxLFBwo4uZB9zbYs3vMM18+zIhzh7b5MQK55aN+n6ndgdGgJTY2uPtM/X1Be+edd7j22muBugQtmZmZLFy4sL5+yZIlPPLII/VJG5577rmTJm0QW2OEUGtuPBDB1IdQBlOPx8vhI2X86/XVbN5yAKVSwZkT+jHrmjGkpsYE9bEjgcPhoqLChsvtRadTkxAfFTG952P++8/PWXDvuz7reg3rztwVf8Gc0LbXiQgSzSOeJyHUmhsPxDBvmCmVCrIyE3nkLxdgszqQJAmTWY9OG/5tIaGg1apJiZBVu77IssyujXv91h/efRRnbWTNnQqCEHoimEaIKKOOKKP4ph1Mbq+bancZh2x7qXKV0dXQh3htKtFq/+kVJUmi9/AerPv4B5/1aT1TUGvF20gQOjvxKSB0Cm6vm0P2XbyX+zfc8vGeZIouk2syHyZGk+D3vmMvGcW7j3+Ey9G4B3rtX68kJjH8W40EQQgvsTVG6BSq3eW8l/tMg0AKUFh7kG8KF+H0+k9okNQ1gWdXPkrMCftz1Vo1N/59BgPG9A1amwVBaD9Ez1ToFPLs+3HLvjMu/WJZz1kpV6LRJPmsV6lV9D+9D69ueZaKokrcTjexKbHEpcSg1UfeflhBEEJPBFOhU6h2V/it88huPHLTi4gUCgWJXeJJ7BIf6KYJgtABiGAaIm63G4/Hg8fjQalUolQqUanE0x8qGYZefuvM6gQ0isjZ1yoIQvsjPs1DwOl0kpeXh81mqy8zGo2kp6ej0YhhwlAwqxPpaujLYfueRnXnpV6LSR3ZSewFIZBkTzl4i8D9GygSQZkJyhQkSSyjaS0RTIPM7XY3CqQANpuNvLw8MjIyRA81BKLVMVzZ7V7WFS9la/kqXLKTWE0yk1OvpXuU/6PCBKGjkT1FyJUPgOuEs2MlE1Ls28jq/khS0wdpCL6JT/Eg83g8jQLpMTabDY/HI4JpiJjV8UxOncXYxGl4ZDcaha7JPaaC0NHI3lpk62sNAymAXIVccS1SwmegTA9P49o50acPMo+n6aPETlYvBJZKoSFGk3jSZA1C87322msMGjQIk8mEyWQiOzubr776qsn7LFmyhL59+6LT6Rg4cCBffvlliFrbycllUPNfP3VWcPnP9iU0TQTTIFOe5OzRk9V3Vm63G4fDgd1ux+Fw4Ha7T34nAQCLvZbc4nJ+OVxAbkk5Fnvtye/UBl26dOHvf/87W7duZcuWLZx55plceOGF7Ny50+ftN2zYwPTp07nhhhv46aefmDZtGtOmTWPHjh1BbacAyE7A/55q2ZMXurZ0MCLRvQ+BTHTvdrs5cuSIz6Feo9Eo5kx96IwLtgKVwL2wsppHl/6PDTmH68tG9+rGXy8+m5SY6EA0tVni4uJ4/vnnueGGGxrVXXHFFdhsNj7//PP6slGjRjFkyBAWLFjQ5HVFovu2kT2FyGUXg7fUZ70UtxhJMyzErYpszY0HomcaZCqVivT0dIxGY4PyY8GhPQRSh9tNXoWFfUVl5FdU4XIHb2j6ZAu2RA/VP4u9tlEgBfg+5xCPLV0Z9B4q1E1bLF68GJvN5veg740bNzJx4sQGZZMmTWLjxo0+by8EkCIJKWq27zpVH1BmhLY9HUjkf5J3ABqNhoyMjHa5z7Skysbb6zbz4aZfcLg9GDRqZo4ZxvRRg0mINp78Ai0kFmy1XrnV3iiQHvN9ziHKrXbMhuD05n799Veys7Opra0lKiqKZcuW0a9fP5+3LSwsJDk5uUFZcnJy/aHinZ3H48Xt9qAN4MlRsqcQPHngLQPNqUimJ5CrXwK5ElCAdiKS6WEkZWLAHrOzEZ9KQVKaX469qga1RoU50YQhWt/ugkBVTS3PfbmWL38+vijB7nSx4NtN2Gqd3DVpNHpNYI+KEwu2Wq+61v9cGEC1o+n6tujTpw/bt2/HYrHw8ccfM2vWLNauXes3oAqNVVfXkJdfyaefbaOszMqY0b05bUR3kpNbf5CCLMvg3otccQN4S45X6G9Ail9SN4cqaUERj6QI/JfjzqR9fbq3AzaLjZ++3cFr9yyk+HApCoWC0y8cwZ9enElKpu/cr5Gq3FbTIJCeaPGmn5lx+hAy4mMC+phiwVbrReu0Tddrm65vC41GQ8+ePQE49dRT2bx5My+//DL/+te/Gt02JSWFoqKiBmVFRUWkpKQErX2Rzmar5bPPt/Pm22vryzZvySU+PoqX/zGDtLRWrjz3FiJXXAve8oblNW8hU4UU/SiSQsw9B4KYMw2wXRt/48lLXqD4cN0Ev9frZf2yTTx49lOU5pWf5N6Rpaza93ArgMvjpaom8D0dpVLZaH75GKPRKIJpE+KiDIzu1c1n3ehe3Yg1hi5lotfrxeGnJ5ydnc2qVasalK1cudLvHGtnUFZmaxBIj5dbeeOttdTU+D6k4aTcBxsH0mNqljfsrQptIoJpAFUUVbLg3vd81uXvLyT310MhblHbRJ2kpxPoIV7oGAu2wsVs0PHXi89uFFBP79WNJy46C71KQTAW78+ZM4d169Zx8OBBfv31V+bMmcOaNWuYMWMGADNnzmTOnDn1t7/rrrtYsWIFL774Inv27OGJJ55gy5Yt3HHHHQFvW3vx4+b9fuu+W78XS1VN6y7sKWii0kVT22SElhGfTAHkqHFyePdRv/W/rNvFiHOHhrBFbRMXZSAzIZaDpY1PXBmUkRK0nk57XrAVbkkmI3MvPYfKGgdWh4MorZYYvRaDWonX60WWZSRJCuhjFhcXM3PmTAoKCjCbzQwaNIivv/6as88+G4DDhw+jUBz/3n766aezaNEiHnnkER5++GF69erF8uXLGTCg86Z1rHX4X6Xu9crI3lZ+CVL19F8nmUAytO66QiPi0ymAlColRrMBm8Xusz65W/taKZcYbWTezAu46a2lFFiq68u7JcTw3JXnBXXYUKVSieDZCrIsY1ArMagNQOMPymD0TN96660m69esWdOo7LLLLuOyyy4LeFvaq9NGdOftd9b5rBs0KANjVCvnu5VpoDoF3Lsb1xlvBUX7WscRycSnVQDFpcQw7c7JfPB043RdKrWKYRMHhaFVbZOVGMcHt17BkXILR8stZCbEkh5rItEUFe6mCT6crNcZ6F6pEBhJSSbGndGXtesanmqkViu549aJmKJb98VVUiZA7GvIVU+B41tABskIxj8h6achSSIEBIp4JgNIqVIy9ZZz+G3LATav+Km+XKPT8OTy+0no0j6P+Uo2R5NsjmZ4VpdwN0U4CUmSUCgUeL3eRnUKhUIE0wgVYzZw5+0TGTWyBx8u2URVVQ1Dh3Tj6qtOJz29bTmkJWUamJ+rW4gk14IUBcokJCkwax4qHHaO2iwszf2FGo+LC7r1p5cpkUR95/rCLdIJ+tDWdIKWkipK88rZu3kf5kQTPQZnEp8eizoIC3aEjiGQafK8Xi8ul6tBQFUoFKjV6gZzl+1RZ0gnWFFpw+P2EhWlQ6eL7M+MCoedeTvXszBnc4PyEQkZvHz6RSTrQ5fCMliaGw9EzzQIzImmuiA6JDPcTalXYavB7fVg1uvQtLO5SKutFkulHZfbS5RRS3x8lOhhNUGhUKDRaJBluX7B0bEfIfLFxrSf5Am51eWNAinA5tIjrDiyh5m9hnea1137+lQVWqy02sbGfYdZ+N1WrLVORvfuxswxw8iIM6NsB72U/PwKXpm3ks1bDiDLkJAQze23ncWpQzOJiuqYPZNAEMFTCDa318u/923xW/9uzmbOyzil0wz3Rv6nqdBq5VY7Ty5fxUMfrWBPQQlHKyx8uOkXLp+3iP0lkZ9Aorikinvv/w8/bq4LpAClpdU8+dfl7NqdH97GCUIn55W9VDn971O1uZ14O9EsogimHdiRcgvf7mq8GdzmcPLSivUUVleFoVXNl5NTRFGx7zYueP1bKiv9Z2gSBCG4NEoVF3Tr77f+rNRemDWdZ/RIBNMObOWOHL913+09iCUI6QAD6ZdffJ+AAnDwYCmOJja6C4IQfCMSu5IZ1XiXQpRKw82nZKNTRfYCqkASwbQDU6v857FVKhRUu4J/vmVbpKbG+K0zmfTtYmWq0+mmsLCSQ4dKKSq2iFNvhA4l1WDi/fFXcWOfkZjUOrRKFed37ceys68nwxgT7uaFVFg/jdatW8fUqVNJS0tDkiSWL19eX+dyuXjwwQcZOHAgRqORtLQ0Zs6cSX5+03NlTzzxRIPVi5Ik0bdv3yD/JZFpYn//qcQmDuyBlVYmzw6R00Z0R6Xy/RK9/NLTiIuL7FWPZWXV/Ov11Vx7w5tcd+Ob3Hjz23z08WYqKsTwtFCXjcrpdeCR2/cXrDSjmfsGTuCrc29i1Xm3Mnf4FLqb4tvFAsdACutfa7PZGDx4MPPnz29UZ7fb2bZtG48++ijbtm1j6dKl7N27lwsuuOCk1+3fvz8FBQX1P+vXrw9G8yNeWkw0V2Y3zrqUZDIybVQ/upvathk82BISonnm6cvQahsuOj9jbG/OnTQQpTJy36xV1TW89Mr/WPbJVpzOuuFom83BG2+u4ZNPt9WXdUR///vfkSSJu+++u8nbLVmyhL59+6LT6Rg4cCBffvllaBoYZrIsU+4o4ruST/jg4N/59Oi/yK/JpdbtOw1pe6BWKkkxmEg1mDCoNeFuTliEdWvM5MmTmTx5ss86s9nMypUrG5TNmzeP0047jcOHD9O1a1e/11WpVO3+bESPx0tZmZWq6hpUKiVmk57Y2Jb1xGKNBm4YN5xRvTP4dPMeqmscjOjdhX6ZiSh0kGSI7A3VGo2KwYMyeOfNmzh4qISqqhp69UwhPj4Kkyl0x4m1RkWFne83+J6z/nDJJs6dNJCUlJigPLbFUUOpw0a1y4FJrSNea8CsDc3ztXnzZv71r38xaFDTqTM3bNjA9OnTmTt3Lueffz6LFi1i2rRpbNu2rcMnvC9xHOVf+x+m1nN8hGJLxTdMS7+FwbFnoBHni7ZL7WqfqcViQZIkYmJimrxdTk4OaWlp6HQ6srOzmTt3bpPB1+FwNDh7saoqvKtcrdZaNv24n/+b/w1Vvx+9lJWZyMNzppKVmYhC0fz9g2lmM3qtml6pCeRZLaCErlExJOuj0Sgj/59frVaRkmImJcUc7qa0SFGRxW+dw+HGag3O4q8CexVzfvyc74py68vGJndn7mlTSDW0PJtXS1itVmbMmMEbb7zB008/3eRtX375Zc4991zuv/9+AJ566ilWrlzJvHnzWLBgQVDbGU52dzXLj77WIJAe82ne6/SIGkSctn13BDqryB0n+4Pa2loefPBBpk+f3mRKp5EjR7Jw4UJWrFjBa6+9Rm5uLmPHjqW6utrvfebOnYvZbK7/ycjICMaf0Gw5OUX8be5n9YEUIPdgCXfP/oDiYv8f0v7E6gxkmuMYnZ7F6JQsMqJi20UgbS2320NBYSXrvtvL8k+2smdPfsjnKU/Wc9YGIU2cxVHTKJACfFd0gDk/foHF0cozMZvp9ttvZ8qUKUycOPGkt924cWOj202aNImNGzcGq3kRocZj5ZB9j886L16O1uwLcYuEQGkXn6gul4vLL78cWZZ57bXXmrzticPGgwYNYuTIkXTr1o2PPvqIG264wed95syZw+zZs+t/r6qqCltAtVTV8MZba3zW2WwOftycywVT28+ZqKHmcrnZsSOPhx9d0mDrzIABXXj0LxeSmBCaoe2E+CiSEk0UlzQe5Rg6tBsx5sAPu5Y6bI0C6THfFR2g1GEL2nDv4sWL2bZtG5s3N04t50thYSHJyckNypKTkyksLAxG8yKGV258AMGJXN7IXhQo+BfxPdNjgfTQoUOsXLmyxYnnY2Ji6N27N/v2+f/Gp9VqMZlMDX7CxelwcSC3xG/99p8PhbA17U9pqZU5jyxptAd1x46j/GfxxpAt/ElIiGbuM5c1mufu2jWe+2dPJrqVR2o1pdrV9NDxyepb68iRI9x111188MEHHTb5fKDolUYStf5PX+pq6BPC1giBFNE902OBNCcnh9WrVxMfH9/ia1itVvbv388111wThBYGnkqlJDnZxJEjvtP9de8uDvNtyq7d+X4D5pdf/cIVl40kOTk0869ZmYm8Nn8WR4+WU1BgIbNbPCkpMcTHBydXabS66QOkT1bfWlu3bqW4uJhhw4bVl3k8HtatW8e8efNwOBwolQ33PKekpFBUVNSgrKioqN0vHDyZKHUM09Jv4a0Dj+Ol4ZaY7PjziFK1r7UBwnFh7ZlarVa2b9/O9u3bAcjNzWX79u0cPnwYl8vFpZdeypYtW/jggw/weDwUFhZSWFiI03l8KOSss85i3rx59b/fd999rF27loMHD7JhwwYuuugilEol06dPD/Wf1yqxsUZmXjPGZ51KpWD8GZ1zz2xzlfgYVj3G6XTjdod2T19SoolhQzOZct5g+vfvErRACpCgNTI2ubvPurHJ3UnQBmdf7llnncWvv/5a/17evn07w4cPZ8aMGWzfvr1RIAXIzs5m1apVDcpWrlxJdnZ2UNoYSdINvbi91wsMMGdjUsWRpu/OVd0eYHzyZehVnSMpfEcU1p7pli1bmDBhQv3vx+YtZ82axRNPPMGnn34KwJAhQxrcb/Xq1YwfPx6A/fv3U1paWl939OhRpk+fTllZGYmJiYwZM4YffviBxMTE4P4xAXTqsEymXzGKD5dswuutSxRtNGh5/LFpJCWFbwg6GCorbVRW2nE43ZhNBuLijGg0rX9Z9uuX7rcuJcWMTtdx98CZtXrmnjaFOT9+wXdFB+rLj63mDdZ8aXR0dKPtLEajkfj4+PrymTNnkp6ezty5cwG46667GDduHC+++CJTpkxh8eLFbNmyhddffz0obYwkaoWaFH03LulyJ7VeOypJjUEV2dvUhJMLazAdP348TZ1N3pxzyw8ePNjg98WLF7e1WWEXYzYw46psppw3mLz8CrRaNclJJuLjo1A1kSKwvTl8uIy//u0TDhwoBkCrVXH1jNFMOW8wMWZDq66Znh5Lj+6J7D/QeN751j+dGdSeYSRINZh4OXta/T7TaLWWBK0xZPtM/Tl8+HCD9I+nn346ixYt4pFHHuHhhx+mV69eLF++vMPvMT2RRqlDoxRzzB2FJDcnYnUyzT1ZXWi94uIqbr3jXZ9bVu6fPZlzzx3U6vM4i4ureHvhOr5dvQu320tSoolbbzmTU4dF7hmotbW15ObmkpWVJRbxNEE8T0KoNTceRPQCJKHjytlX5Hfv5zvvrWfEiO4ktHIbS1KSibv/PIlZM8fgdnnQ6zWtvpYgCEJziGAqhMVvOf73E5aWVuN0tW2hkE6nJjVI6foEQWhIll3gKQDHemTPQSTNCFAPQFKmhrtpISOCqRAWWd0S/NaZzfomj48TBCFyyLIbnFuRK24AXHVl9oWgSIa4fyOpuoW1faES8UkbhI6p7ylpGI2+9z1edWV2xB+vJgjC77xFyJW3ciyQNii3/AXZ0/IUqO2RCKZCWCQlmvjHC9MbzGUqFBLTLhzGxLP6R/TxaoIgnMB9CGQ/ua9dP4LsOwFNRyOGeYWwUCgkevZI5tX/m0l5hY2aGicJCdHExBgwGoKTqUcQhCDwnqTnKbuaru8gRDAVwkaSJBISosVKW0Foz9S9/dcp4kHRObYXirE0odNyu904HA7sdjsOhwO3OzRJ8AWhQ5ESQHeh76roOaDoHPnERc9U6JScTid5eXnYbMfneoxGI+np6Wg0HTfloCAEmqQ0Q/SDyKq+YH8DvOWg7IEU/QBoTkWSOkefTQRTodNxu92NAimAzWYjLy+PjIwMVCrx1hCE5pKUCWC8DvTnA25AW1fWiXSOrwyCcAKPx9MokB5js9nweIJzskxJlZXth/L57+Yd/LDvMIWV1UF5nFB74oknkCSpwU/fvk2fbrRkyRL69u2LTqdj4MCBfPnllyFqrRAskqRAUiYjKdM7XSAF0TNtF8rKrNTWOlGplMTGtu1UFYGTBstgBNO8Cgu3LvyE/cVl9WXxUQbevOESeqcE9oPH7rZic1uo9djQKY0YVWYMQT7aq3///nzzzTf1vzfVs9+wYQPTp09n7ty5nH/++SxatIhp06axbdu2TpXoXuhYxKdyBKu21rJ9+yEW/OtbCgotaDQqJp87iKuuzCYxUayAbS1f52u2pL6lqmpqeWLZNw0CKUCZ1c4t7yzjP7dNx6wNzFvR4ixl6dH57LP+XF/WM2oIF3e5DbMmeL0FlUrV7IO9X375Zc4991zuv/9+AJ566ilWrlzJvHnzWLBgQdDa2JHIXht4i5Eda8FrQdKOBWXXTtkjjBRimDeCbdt2kMefXEZBYd0+LqfTzSefbuPJp5b5TRIvnJxSqcRo9J1hyWg0BjyYlltr2JBz2GddUZWVQktghnvtbmujQAqwz7qdpUdfxe62BuRxfMnJySEtLY3u3bszY8YMDh/2/fcCbNy4kYkTJzYomzRpEhs3bgxa+zoS2WuF2i+QSydB9TNgm49cfiVy5V3InuJwN6/TEsE0QpWWVbPgX9/6rNu1O5/CosCn6CoprWbrtoN8tGQTGzbmUFRsadaZsu2NSqUiPT29UUA9tpo30IuPak+y5abCVhOQx7G5LY0C6TH7rNuxuYOT1m3kyJEsXLiQFStW8Nprr5Gbm8vYsWOprvb9JaGwsJDk5OQGZcnJyRQW+j/8QDiBpxC56pHG5a7NyPYlyHJw5vyFpolh3ghVU+OiqLjKb/2ePQWc0jctYI+Xl1fBfQ/8p8FjRkfr+Mfz0+nRI7mJe7ZPGo2GjIwMPB4PHo8HpVKJUqkMyireaJ0WvVpFjct3UM2IMwfkcWo9TY9W1HrtAXmcP5o8eXL9/w8aNIiRI0fSrVs3PvroI2644YagPGZnJcse5NrP/d/A/h4YLgWl7/es7HWAtwSoBfSgTEKS1EFpa2cjeqYRSq1SoFL5/+cJZCJ4i8XO3Gc/axS8q6trmfPIx5SUdoxVp3+kUqnQarUYDAa0Wm3QtsMkRhu5ftwIn3Vn9MkiPtoQkMfRKZt+TegUbXscr9fbrJGKmJgYevfuzb59+3zWp6SkUFRU1KCsqKio2XOunZXstYHrl7qjzvzeyAJ4fVd5ipGtLyCXTkYuPQ+57Hxk62vIntLgNLiTEcE0QsXEGDnrzP4+6zQaFb17B+6Dx2KpYdfufJ91paXVlJcFb66tM9ColFw5chD3Th6LSac9XjZqME9ePJEYgz4gj2NUmekZNcRnXc+oIRhVresBu5xuqsqqKdhfRGFuMTXWGtxNnDdrtVrZv38/qam+z7LMzs5m1apVDcpWrlxJdnZ2q9rXaXgOIFfeg6QZ5v82mtNAavylSfZWIVfNBfu7gOP3QhvY5iHbXkf2BmaqoTMTw7wRSqdTc92ssezbX8T+/ccXFajVSp55+lISA5jP1uFsek7PanME7LE6q7goAzNHD2XyoN7YnW50KiXx0UZ06sC9BQ2qKC7uchtLj77KPuv2+vJjq3lbsz3G5XBxNKcAV+3xZOXV5VbMSSbiU+NQqZXcd999TJ06lW7dupGfn8/jjz+OUqlk+vTpAMycOZP09HTmzp0LwF133cW4ceN48cUXmTJlCosXL2bLli28/vrrbXsCOjDZa0Oung/efJD0oMwCT+4fbqVEin4ASeHjS5O3HBxf+L64/QMwXAOKjIC3uzMRwTSCJSWZePaZy8nLq2Dn7jwSE0z0OyWNhIQoVAE8PDs6SotWq8Lh8B1Uk5I6R6LqYFMplaTGBPe5NGsSuKLr7Lp9pl47OoWh1ftMvV6ZypKqBoH0GEtxFeb4aFRqJUePHmX69OmUlZWRmJjImDFj+OGHH0hMTATg8OHDKBTHB8FOP/10Fi1axCOPPMLDDz9Mr169WL58udhj2hTZDp69df9b9TekmOeRaz6D2q8AJ6gHI0X/BZQ9fd/fW9LExV2/Dw+LYNoWIphGuLi4KOLiohg4MHgv9Li4KK6ans07C79rVHf2xAHExgRmTk8IDYMqKiBJGjxuD5ZS/4vgLGXV6Iw6Fi9e3OR11qxZ06jssssu47LLLmtrEzsPSQfKruDJA7kCueJW0J2LZH4OJAXIClD397+YSDrJ60EKzFRDZyaCqYBGo2Lq+UOJjtbx/vvfU1Fpx2jQcsnFw7lg6lCionThbqIQJrLX/4Ij2dPxtk1FKkkRDVF3IJcf24vrgtrPkGs/AxRI8Z81vSpXkQDKTPAcbFynHgqKuMA32g/ZawdvGci1dfO7HWRFsQimAgAxZgMXnD+M07N74XS60aiVxMUFdjhZaF+USgVRMUaqy30vQIuOD26KQuEPVH2QTE8iVz1D/SIiKaqud6rs0uRdJWUixL6GXH4deE/Yz6vMRDK/gKSIDV67TyB7CpGr/wG1nwNukIxgvBn0lyMp40PShmARwVSop1BIJCWK+VGhjkKpID4tFpvFjtfTcLuFPkqHVieOqgslSWFC1l2MpBkL3iJACcokUCQ2q2cnqXpA/EfgPgyeI6DKAmUXJGVozhuVPeXIlfeDa9MJhTaw/hMZLxhvbtc9VBFMBUHwS61V0/WUdCqKLFgrbSgUCmKSzETFGlGJAxdCTlJoQdEFaLon6vf+yhRQpgCnBbRdzeItaRhIT2R7A/TTQJke0iYFkng3CILglyRJaHQaEjPiiU+NBQmUKiWSJIW7aUKQWapqsFTaqa11ERWtJS42Cp2uDT1Hj/98zch28FqhHc8qiWAaRDU1TioqbThq3RgMGuLiolCr2/GrRei0FAoFCo3I8RJMxVVWym01OF1u4qIMxEcZ0GvCM+xZUFDJM89+xs6deQCoVAounDqMq6ZnExvbyuxriqZOtFHUrVhux0QwDZKSkmreemcNq77djcfjRa/XcMVlpzH1/KGtfzEKgtDheL0yvxWWcOf7n5FfWbcVSa1UcMMZI5gxeghxxtBuTSsrs/LQXz7iyJHy+jK328t/l21Bb9BwzYzRresUKFNBkfz7fO8faM8CRftegCS+agZBpcXO35//nP+t3Inn94UbNTVOFr63nk8+3YbzJBmHBEHoPAos1Vz7xsf1gRTA5fGyYPUmVu8+EPL2FBZZGgTSE/136RbK/azuPhlJmYIU+xYoEhtWqAYimf6CpGjfq8NFzzQIKspt/PTTIZ91H338I+dOGkhKSkxoGyUIQkT66WAe1bW+U3a++s1GxvbOJMkUukBz9KjvQAp1nYIaHxmxmktS94b4/9atJvYU1q0oVqR0iEPNRTANgvzCSr91tbUubDZn6BojCEJE25Xv/0DvQosVlye055OmpPg/EEGjUaHTti1sHF9R3LGIYd4gaCr9niSBti0r4oQW83plbDYHDkfrv1ELTcvLy+Pqq68mPj4evV7PwIED2bJlS5P3WbNmDcOGDUOr1dKzZ08WLlwYmsZGmP7p/vd5psZEo1GGdtFiWlqs3/3mU84bTFxc+x6ODRbRMw2CxEQTSYkmiksa5zUdNapnp8x16/F4KSmtJvdAMcWl1fTqmUxKsjnob8zCIgvr1u3h+w05REfruPSSEWRlJmI2d9x/A9ljAbkMvNWgiAYpHkkZmAPIfamoqGD06NFMmDCBr776isTERHJycoiN9Z9VJzc3lylTpnDLLbfwwQcfsGrVKm688UZSU1OZNGlS0NoaiYZ0S8Ok01LlY6j3jonZJIZwiBcgMSGa5569gkce/ZijeRX15RPG9+WqK7PRiP3FPklyc0777WSqqqowm81YLBZMptZlBDp4sIQH5nxE6QkHa/funcxfH7+k053C4vF42bO3gAfnfIjdfnyIu3fvFP76+MVBez7y8iv4813vU1Fpb1B+8UXDmXn1aEymyEnuXVtbS25uLllZWeh0rd8iIHsKkC1/Aef644WasUjmp5GUvs8XbauHHnqI77//nu++a3xQgj8PPvggX3zxBTt27Kgvu/LKK6msrGTFihV+7xeo5ymSyLLMb4Wl3PXvzzhSbgHqzru9efxpXDlqELEhXs17TFm5lcoKGzabg7i4KGJiDJ0yT3dz44H4ihEkmZmJzH/lGgoLLZSUVtMlPY7ExOhOuS2mtLSah+Z81CCQAvz2WyFvvr2W2Xef27bN4D7U1Dh5Z+G6RoEUYOmyLUw+d1BEBdNAkD2WxoEUwPkdsuURMP8jKD3UTz/9lEmTJnHZZZexdu1a0tPTue2227jpppv83mfjxo1MnDixQdmkSZO4++67A96+SCdJEn1SE3n/lisot9pxuj3EGvUkBPi825OpqqqhuroWgKhoHfFxUcSLId1mE8E0iBITTSSKXLccPFSKze57teLqNbu57tqxpAZ4dXN1dS1r1+31W//dd3vp0T00OUlDRi5rHEiPcX5XV0/gg+mBAwd47bXXmD17Ng8//DCbN2/mz3/+MxqNhlmzZvm8T2FhIcnJyQ3KkpOTqaqqoqamBr2+Y33RaY7EaCOJ0aH/su3xeDl0qJR/vryCnbvyAejbN5XZd51LVlYiSqVYWtMc4lkSgq6szP++NI/HG6R9tzJer9dvrcfjv67d8la3rb61D+v1MmzYMJ555hmGDh3KzTffzE033cSCBQuC8nhCYBUWWbjjrvfrAynAnj0F3Hn3+xQ0sTNBaEgEUyHomuoBxsYYMOgDf/qIMUrHqJE9/NaPGdM74I8ZdorottW3UmpqKv369WtQdsopp3D4sP9crCkpKRQVNcyEU1RUhMlk6pS90nBxuz188eV2an3sHXU43CxbvhWXSySZaY6wBtN169YxdepU0tLSkCSJ5cuX19e5XC4efPBBBg4ciNFoJC0tjZkzZ5Kfn+//gr+bP38+mZmZ6HQ6Ro4cyY8//hjEv6L9cXk8WOw11LpCs1UkKclE/36+T4O44fpxxMcH/kPeaNBy840TMBgaB+rx4/qSnBS81a1hI8WDZqzvOs3YuvogGD16NHv3NhxS/+233+jWrZvf+2RnZ7Nq1aoGZStXriQ7OzsobRR8s9udbN120G/99u2Hxb74ZgprMLXZbAwePJj58+c3qrPb7Wzbto1HH32Ubdu2sXTpUvbu3csFF1zQ5DU//PBDZs+ezeOPP862bdsYPHgwkyZNorjY/8bozsLt8XCwtIJ/fLWem99ZxkMfreCXwwVU1fiezwyU2Fgjjz0yjcnnDqrP6RkXZ+SB+85jzOjeKBTBOYEkIyOef712HRdfNJz09Fj69knlsUemccdtZxPTAbcnSUozkvnpxgG1fjVvcL5A3HPPPfzwww8888wz7Nu3j0WLFvH6669z++23199mzpw5zJw5s/73W265hQMHDvDAAw+wZ88e5s+fz0cffcQ999wTlDYKvqnVyiYXGcXFGVBrxOEczRExW2MkSWLZsmVMmzbN7202b97MaaedxqFDh+jatavP24wcOZIRI0Ywb948oG4+JyMjgzvvvJOHHnqoWW0JxNaYSLTjaCEz//URDnfDjCoPTx3PRcP7Y9AE97Bnh8NFRYUNp8uDXqchISEqJEd5uVxurFYHSpUCU3RkDiEGcstHqPeZAnz++efMmTOHnJwcsrKymD17doPVvNdeey0HDx5kzZo19WVr1qzh7nvuYfeuXaSkpXHn7Hu5/rrridJp0ah8f4B3xK0x4fbzL4e5595FPuteePZKhg3LDG2DIkyH3BpjsViQJImYmBif9U6nk61btzJnzpz6MoVCwcSJE9m4caPf6zocDhyO472zqqrGyRbauzKrnUc+/l+jQArw7BdrOaNPFob44AZTrVYdlpzEarWK2Nh29VJvk7rAGdph7PPPP5/zzz/fb72v7EZjxp7Bl6vXUm6tqS/Lr6xGrbSRlRiLRtV5/s3CKSszkVnXjOHd9xuuBL/qymx69OhgK96DqN28Wmtra3nwwQeZPn26328HpaWleDwen0vu9+zZ4/fac+fO5cknnwxoeyONxV5LTlGZzzqPV2ZvYSkZ8TGhbZTQqbk8ngaB9Hi5l9JqOynm6KBNAQjHmUx6Lr1kOGee2Y9ffz2CLMsMHJhBXKyxUyZpaK12EUxdLheXX345sizz2muvBfz6c+bMYfbs2fW/V1VVkZGREfDHCSeZpkfzvZEx2i90IpaaWr91lfYaEqONKBRivi4UjEYdRqOOjC5x4W5KuxXxwfRYID106BDffvttk2PWCQkJKJVKn0vuU1L8n1Kg1WrRarUBa3MkMut1dE+M40BJ4+OVFJJE39REH/cShOBp6vub+GontDcRvc/0WCDNycnhm2++IT6+6aX9Go2GU089tcGSe6/Xy6pVqzr9kvuEaCNPXXI2ah8nUNx1zmjiozre6lYhspn0/r/AmnRaMcTbgVQ6S9ll2cSK/PfYUv4N5Y4i3N6OtX81rD1Tq9XKvn376n/Pzc1l+/btxMXFkZqayqWXXsq2bdv4/PPP8Xg8FBYWAhAXF4fm95WnZ511FhdddBF33HEHALNnz2bWrFkMHz6c0047jZdeegmbzcZ1110X+j8wwvRLT2bpn2ew8LttbD9cQIo5ipvGj6B3SiJGbXAXHwnCH2lVSqJ1GqprG+5jVCokkkxRKBUR/V1faKZSRwFv7X+UKvfxUTGVpOG67o+RYeiDUuoYQ/lhDaZbtmxhwoQJ9b8fm7ecNWsWTzzxBJ9++ikAQ4YMaXC/1atXM378eAD2799PaWlpfd0VV1xBSUkJjz32GIWFhQwZMoQVK1Y0WpTUGWlUSronxfPwBROwO5xo1SoRRCNMUykQOxqVUklarAlbrZNSqx2v7CVapyUuyuD3DM/O9Px0BHZ3NcuOzGsQSAHcspP3D87lzl7/IEbTMaaYImafaSTpqPtMhcjl9XrJyclBqVSSmJiIRqMJyR7cSOH2eJGRUSoUKHz83bIs43Q6KSkpwePx0KtXLxSi5xrxSmrzeOm3O/3W39D9r3SPGhDCFrVch9xnKgjBUOuxY3NX4ZXdaJUGTOrQr2hUKBRkZWVRUFDQrJSZnZXBYKBr164RGUhlWe5UX4CawyM3nbK01mMLUUuCTwRToVMrdxTxRf5b7K3eioxMjDqR89NvJMvYH50ytIuyNBoNXbt2xe124/E0Tq7R2SmVSlQqVcQFrLKyavbtK2blqp3o9RqmTB5EamoMZrNY1KdTRmFQRmP31J1YpFXo6WcYS4ycjk0qJ0nrO5NdeySGeX0Qw7ydg8VZyuv7/0Klq6RR3fXdn6RH1MAwtEpoT0pLq3n08f+y97fCBuXTLhzGrGvGdPqA6pU9bKtYw7Kj8+mjz6a/ZwqfLNnFgX2lpKaYmXHV6fTonkx0dOQmh2huPIi8sRJBCJH8mgM+AynAV/kLsbktIW6R0J54vTIrV+1sFEgBln+yjby8ijC0KrIoJCX9TCO5LusJupWdw4N3fcb6dfvIz69k67ZDzL7vP6xctcPnEXDtjQimQqe1z/qL37qC2lxcXnH0lOBfRYWNTz/7yW/9Z5//FLJD6GVPCbJzC97q+cj2Jcjuw8he/xmmQsmgiiLGkcX8l77D6208EPqv11dTUdn+507FnKnQacVp/G+XMihNSJL4rin455Vlamv9f+Gy2Z1NZnkKFNlTiFxxK7h31v0OgAop5hVkzRgkRfiHUKuqaigts/qsc7k85OdXkhqGQzACSXxaCJ1WX9NwFH7eAmMSLyBaFRPaBrWB1eXgYHU5nx/ayeeHd3GwuhyrK7jn1HZ2pmgd2aN6+a2fOLE/KlVwP2JlrwPZuqA+kB7nRq78M3gj4xznky0aUygja1FZa4ieqdBpmdTxXJ35EIsOPY/7hCX8/UynMSx2Aop2kpml0lHDov3b+Meva+pz2iokifsHTuCKHkMwayLzDNf2TqtVc9X0Uaz7bg92e8MeamZmAqf0TQt+I7xlUPNfP5VucP4IqvCvmDWZ9KSlxpBfUNmoTqtVtfteKYjVvD6J1bydh9vrpMpVQUFNLnZPNV0MvTCp4zCq2s+/+4/Fh5i++t8+6z48cybDEzvWCUiRxOuVycuv4IMPNrB+w29otWrOnzKY888bQmJi8F9DsvswculE/zcw3o0i+ragt6M5duw8yr33/weX6/i2L0mCh+dMZezoPmg0kdm3a248EMHUBxFMhfbC5nJy58alrC3Y77P+rLRevDRqGga1SBsZTLW1Lqqra5AkidhYA0o/6RADTfaUIpdfAx7f//5S3CIkzfCQtOVkXC4PhYUWPv/iJ3btySejSxwXXzSc9LRY9PrIfX2KDEiC0Ak4PG6Kaqr91hfWVOPwujEQuR9WHYFOp0anU4f8cSVlApj+glxxfeNKVX9Qdgt5m/xRq5VkZMRx043jqa11odWqUKs7TggK6Oz4kSNHuP56H/+ogiAERZRaw/AE/8O4IxIziFJ17LN6Oz31EKTYd0DZ4/cCLehnIMW+hqSMvCTyKpWSqChdhwqkEOBh3p9//plhw4a1+1RoYphXaE8OVJUx5es3cHobvu+0ShVfTLqJrOjQ5xoWQk/2lIJsB5SgSEBSRO6XqMoSC2X5FRz9LZ+4lBhSspJJ7NL0edXhEpRh3mNHovlz4MCBllxOEIQAyDDG8OGZM5mz5Qv2VNZthTglJpm5I6aQYTSHuXVCqEjKhHA3oVlKjpbx92v+j1/WHt/OE5cSw9yvHiFrUNeIy73cXC3qmSoUCiRJoqm7SJIkeqaCEAZltTYszrqsN2aNjnidMcwtEoSGam21vHLbG6x8f12jupgkM69u/juJGZH1pSAouXlTU1NZunQpXq/X58+2bdva3HBBEFonXmekuyme7qZ4EUiFiFRRZOHb/3zvs66y2ELevsZ5jtuLFgXTU089la1bt/qtP1mvVRAEQei8HDVOPG7/I5elR8tC2JrAatGc6f3334/N5j8hcc+ePVm9enWbGyUIHYEsy5TV2vHiJUajR6PsWKsXBaGlDNE6jGYDNovdZ33Xfl1C3KLAadG7e+zYsU3WG41Gxo0bV//70aNHSUtLQ6EQKYCFzqWoppr/Hd3L+zlbqPG4mNSlLzN7DSfDGNNuF1gIQlvFp8Vx1cMX88aDjTN29R7ePWJX9DZHUKNcv379OHjwYDAfQhAiTnFNNX/esIwntn3N/uoy8u1VvPPbj1y08h0O2yrD3TzBB6enVhy5FwJKlZJzrh3PDXNnYIiuyxmtUCgYe/FIHv/v/cQmx/i8X6iOsmuLoI47iflToTPaU1nMltIjjcornTW8vnsjjw49B51KDPlGAouzlBzrz/xcuQ6NpCM7YQop+m5EqcSWomCJSTRzyezzmXDlaOxVdrQGLTFJ5vrgeozT6aa4uIpvVu1k/4Fi+vdL54yxfUhONqNURt5op3hHC0IzeTweyvIrqC63olKrMCdGE5PY8EPXK8t8nOv/0PGvju7mzv5jSGlHifQ7qkpnCW8deJxy5/EVpHuqNzMkZhyTU68lSh36gCp7in9PvKAGRXxEnEUaDGq1iuRu/rMzeTxeduw8ykMPf4TbXdcr/X5DDu/9+3v+8cJV9O2TGqqmNlvkhXdBiEDWShvffrCeW4bezy1D7+fGAffw0DlPc3DH4QYjMBKgbSLJuVqhFHOmEcDjdbOpbEWDQHrM9sq1lDkLQtoe2VuFXLsSuXw6cuk5yKWTkKufQfa0360ibVFWZuWvTy2vD6TH1Na6ePpvn1Dm56DxcBLBVBCaYc+P+3ju2nlUlx9/E+//+SCzxz9O8aHS+jJJkriy+1C/17m8+xDiNIagtlU4OZvHwtbyb/3WbylfGdppKucm5MrbwXNsesAJNYuRK+6oSxPYyZSVW6mqrvVZl19QicXPauBwCmowFd/AhY6gssTCGw+877OuutzK9jU7GpRlRsdxcbeBjW6bGRXH9O5DUYfoeK6OrNJRw2FrBUetlVQ7fX/oNkWWwYPbb73b60YmNMFU9hQjV8/105BfTgiwnceJZ576EokLksQCJEE4CZfDzcEd/j/Qfl23i0nXTqj/PV5n5KEhZ3Fx1iDey9mC3e3kosyBjEzqRqpBzJW2hdvr4TdLCU9s+5qtpUeRgPGpPXl4yES6m5q/rcKgimaA+XS2lK/0WT8sbgIKKUQDd7IdPEf9V7t+RtL4H+3oiBITolGpFI2GeQGiorSYzZE3utPiYHrw4EFWrlyJ0+lk3LhxDBgwwO9td+3aRVpaWpsaKAjhplQpSOqaQOHBYp/1WQMbnxkZrzOSrTNyakIXPLKMXhX6sy47okPWCi5d9S4OT12vUgZWF+xje1key8++ni5RMc26jlqhYVziReyy/IDd0/A82ExDP1J0ITwHVFIDasDlu1oReceoBVtsrIHrZo3ljbfWNqq7/baJxMdHXrrMFgXT1atXc/7551NTU1N3Z5WKt99+m6uvvtrn7TMy/J+zKAjtRVxKLFc/eikv3PBqozq1RsWoqcP93ldkPQqcGreLN/b8UB9IT1ThrGHF0T3c0Gdks6eXYjXJ3NrzOTaVrWBn1Q9oFFqy46fQx3Qq0erYQDffPyke9BdBzUc+KjWgHhy6tkQInU7DlPOGkNktkYXvfUd+QSWZ3eK54fpx9OyRgjICp0padGrMmDFjSEhI4LXXXkOn0/HII4+wbNky8vPzg9nGkBOnxgh/VFliYfHc5Sx75Uu83rqhJ6PZwBNL76f/6L6oNSJoBltxTTWXfvMueXaLz/pRSd14fcxlGNUtO8fT43Vj91QjSYqw7S+VPQXIFXeA+9cTSjVIsa+DZgSS1HlHNior7bhcHrQ6FaY/7EUNhebGgxYF05iYGDZs2EC/fv0AsNvtmEwmioqKiI9vv2mg/kgEU8EXW5WdyuIq8vcXojNqSe6aSHxaLEpV5H1L7ogqHHauW7uYXyt8b1uZ2rUfz502td2OBsieEvAcQXZtR1IkgXoIKJM7dSCNBEE5HLyqqoqEhONnzRkMBvR6PRaLpUMFU0HwxWgyYDQZSO+ZEu6mdEqxWgN/6pvNHRuX+qyf1WtEuw2kAJIyEZSJSJph4W6K0AotfuV9/fXXmM3Hh0K8Xi+rVq1ix47j2wMuuOCCwLROEAThBKcldeXSrEGNskzdM+AMslqwmlcQAq1Fw7zNOf1FkiQ8nqb3CEU6McwrCJGr0lFDYU0164ty0SiUjEnOIlFnJFrTMVPvCeEVlGHeYwsvBEEQwiVGqydGq6dvTFK4myII9QK6K9nr9fL5558H8pKCIAiCEPECMlu/b98+3n77bRYuXEhJSQkul+/Nx4IgCILQEbW6Z1pTU8N7773HGWecQZ8+fdiwYQOPPfYYR4/6T4slCIIgCB1Ri3ummzdv5s0332Tx4sX06NGDGTNmsGHDBl599dX6/aeCIAgt5Xa78Xg8eDwelEolSqUSVRAOUa+urqHSUoPL6SYqSkd8fFREHjYttC8teqUOGjSIqqoqrrrqKjZs2ED//v0BeOihh4LSOEFo70IVINo7p9NJXl4eNputvsxoNBIfn0xVVS0//3IYt9vLkMFdiY0ztjoTTn5+BS/84yu2/3wYgOhoHTfdMI4zxvbFZAp9dh2h42jRu3rv3r1cccUVTJgwQfRCBeEk/AWI9PR0NBpNGFsWWdxud6PnCUCWlXz2+XbeXriOEzfwTbtwGDOvHkNMTMtODikpqebe+/9DUXFVfVl1dS3/eOlrjEYtE8aLzzSh9Vo0tnHgwAH69OnDrbfeSpcuXbjvvvv46aefWn1u6bp165g6dSppaWlIksTy5csb1C9dupRzzjmH+Ph4JEli+/btJ73mwoULkSSpwY9OJ/afCaHlL0DYbDby8vJwu/2fpdnZeDyeRs+TQqHAapV5652GgRRg+Sfb2LU7r8WPk3uwpEEgPdEbb62ltMzqs04QmqNFwTQ9PZ2//OUv7Nu3j/fff5/CwkJGjx6N2+1m4cKF/Pbbby16cJvNxuDBg5k/f77f+jFjxvDss8+26Lomk4mCgoL6n0OHDrXo/kLHZ7XWcjSvnJ07j3Igt5jy8sB+kPoKEMfYbLaQJTZxu904HA7sdjsOhyMig7iv50KvN7L805/83mfRfzZSXV3TosdpKgAXFlpwOsUuBKH1Wj15c+aZZ3LmmWdisVj44IMPePvtt3nhhRcYMGAAv/zyy8kvAEyePJnJkyf7rb/mmmuAujNUW0KSJFJSRP5Uwbeyciuvv7Gab1btrO/1dOsaz1+fvISMLnEBeYyTBctQBNP2Mszs6zgtWZYoL/f9ZQSOnyTSEl3S/f/bRkVpUUXgsV5C+9HmJWxms5nbbruNLVu2sG3bNsaPHx+AZrWN1WqlW7duZGRkcOGFF7Jz584mb+9wOKiqqmrwI3RMTqebjz7axMpvdjYYPjx0uIwHHlxMSWm1/zu3wMnOWwz2eYztaZhZqVRiNDY87FmW3Qwb2tXvfQYP7orR2LKj1vr3T0en830Cy6UXn9biA6cjqddfVVaNpayaFmSHFQIsoOvBhwwZwiuvvBLIS7ZYnz59ePvtt/nkk0/497//jdfr5fTTT29y/+vcuXMxm831P+JQ846rvNzGp5/7Hj4sKq6ioKAyII/jK0AcYzQagx5MI2WYuTlUKhXp6ekNnq+aGjvjx/UlKqpxwNRoVFxx+Ui02pYdTZaUaOL5v19BdHTDNRQTxp/C+VMGt+jfxOl0cuTIEXJycjhw4AA5OTkcOXIEp9PZoja1VWleOV++uYo55z7NQ+c8xfL/+4qSI6UhbYNQp0WJ7s8888yTX1CSWLVqVcsbIkksW7aMadOmNao7ePAgWVlZ/PTTTwwZMqRF13W5XJxyyilMnz6dp556yudtHA4HDoej/veqqioyMjJEovsO6OChUq6/8U2/9Q/eP4VJ5wwMyGOFc5jVbrdz4MABv/Xdu3fHYGjZathg++M2IoVCQX6+hf+bv5JtP9Wte+jbJ5W7/zyJ7t0TUbXiHFmPx0tZmZWCwkqqqmrp2jWe2BhDi7bFuN1ujhw54vPLitFoJCMjIyTbn0rzynl82rP8trXhv3OX3mk8t/JREjMS/NxTaImgJLpfs2YN3bp1Y8qUKajV7ePAWrVazdChQ9m3b5/f22i1WrTalg0ZCe2TTqdGp1NTW+t7sUl6emzAHkuj0ZCRkRGWfabhHmZuDZVK1ei56dYtgccfu4jqqhpkuW5u02xu/ZcApVJBUpKJpKTWf0luTq8/FP/GP6/Z2SiQAhz9LZ91H//ARXed16yTviJZTY0TWQaDIXLm+P1p0b/4s88+yzvvvMOSJUuYMWMG119/PQMGDAhW2wLC4/Hw66+/ct5554W7KUIEiI+L4pKLh/PBoo2N6tLTY0lJMfu4V+v5ChChcGyY2V/vKRKDqT/RUTqioyJne1skLC6zV9n58o1v/NaveGc1Z109lpjEwL6eQ6Ws3MqePfl88uk2PB6ZyecOZPCgbiQmRoe7aX616F1+//33c//997Nx40befvttRo8eTZ8+fbj++uu56qqrWjwkarVaG/QYc3Nz2b59O3FxcXTt2pXy8nIOHz5Mfn4+UJc0AiAlJaV+te7MmTNJT09n7ty5APz1r39l1KhR9OzZk8rKSp5//nkOHTrEjTfe2KK2CR2TWq3kogtPxWZz8Nnn2/F46o4V7NM7hUf/ciEJ8ZH7Zm2JY/OQ/oaZRRam1ouIXr8kISn87++v2/rfuv3/4VZWbuXvz37O1m0H68t+2n6IHt0TeebpyyM2oLbqHZWdnU12djYvv/wyS5YsYf78+dx3333k5+e3KKBu2bKFCRMm1P8+e/ZsAGbNmsXChQv59NNPue666+rrr7zySgAef/xxnnjiCQAOHz7cYCijoqKCm266icLCQmJjYzn11FPZsGGDyNgk1IuLi+KmG8Zz6cUjqK6uRadTY44xENOG4cNIFM5h5o4sEnr9hmg95//pbH5e43unwnk3TsScEJlB52T27MlvEEiP2X+ghPXf72Xahae2OlFQMLVoAdIfrV+/nrfffpslS5bQv39/Vq9ejV7f/vNbNnfCWRCEzikS9vCW5Zfz5GUvsntjw2Q5WQO68rcvHyaxS3xI2hFINTVOHn9yKVu2HvRZn9ktgRefn05sbMu2MbVFUBYgAeTn57Nw4UIWLlxIVVUVV199NZs2bRI9P0EQOo1I6PXHp8Xx+JJ7+XntLj599Wu8Hi+TbziTEZOGkNAOA+kxHo///t2xaZlI1KJ/+fPOO4/Vq1dzzjnn8PzzzzNlyhQxZCQIQqcUrsVlJ4pPi+PM6WM47byh4JWJio0Ka3vaSq/XcN65g/hpu+8UsGefPSBiT/dp0TCvQqEgNTWVpKSkJsest23bFpDGhYsY5hUEQQiPktJqHn5kCfv3FzcoT04289I/riI5KbQrlIMyzPvYY49F5MSvIAiC0DEkJkTzzFOXsf773/jsi5/weLycM3EAEyf2D3kgbYk2LUDqqETPVBAEIbxkWaay0g6AyaRHqQxPAoqg9ExjY2N99kzNZjO9e/fmvvvu4+yzz255awVBEAThBJIkhXTVblu1KJi+9NJLPssrKyvZunUr559/Ph9//DFTp04NRNsEQRAEoV1oUTCdNWtWk/VDhgxh7ty5IpgKgiAInUpAB6HPP/989uzZE8hLCoIgCELEC2gwdTgcIcv+IQiCIAiRIqDB9K233mrxeaOCIAiC0N61aM70WCL6P7JYLGzbto3ffvuNdevWBaRhgiAIgtBetCiY/vTTTz7LTSYTZ599NkuXLiUrKysgDRMEQehM3G63OOGnHWvRv9Tq1auD1Q5BEIROKxJOoRHaJjwpJQRBEASgrkf6x0AKYLPZyMvLw+12h6llQkuIYCoIghBGHo8Hp9OJVqtFoWj4kWyz2fB4PGFqmdASYkBeEAQhTGTZhUpRRFbab0jeEmTVIOzOWPILHHi9dWd3imDaPohgKgiCEAay7ALnFqSKm1HhqC+PVg0ms+tz5B6yI8sySqUyjK08TiyQapp4JgRBEMLBU4RccTOcEEgBJPfPaFwLMZtm4XJLERFMxQKpkxNzpoIgCOHg2s4fA+kxCsdSEuIgPT097L0/sUCqeUQwFQRBCAPZU9hErQONRhERvT6Px9MokB4jFkgdJ4KpIAhCGEiaof4rlRlICkPoGtOEkwVLEUzriGAqCIIQDsquoOrns0qKfhBJmRTiBvl2sjnbSJjTjQQimAqCIISBpExEil0A+ksAdV2hIg3J/H+gGRXWtp1IqVRiNBp91hmNRhFMfydW8wqCIISJpEyB6MfAeDvgAskYMT3SY1QqFenp6X5X84Z7gVSkEM+CIAhCGEkKPSi6hLsZTdJoNGRkZIh9pk0Qz4TQobjdHsrKrFiqalApFZhjDMTHRYW7WYLQ7qlUKhE8myCeGaHDsFprWfvdXhYs+BabvW7/XlpaDI/9ZRo9eiShVIolAoIgBIf4dBE6jN17C3jxH1/VB1KA/PxK7rlvEcXFVWFsmSAIHZ0IpkKHYLHYeevttT7ramqcbPxhX4hbJAhCZyKCqdAhOF1uDh0q9Vv/646jyLIcwhYJgWax11JksVJutYe7KYLQiJgzFToElUpJamoMBw/6Dqi9eiYjSVKIWyUEQnWtg98KSnjp6+/5rbCU9FgTt03M5tTMdGKN+nA3L+xkTznIlXW/SGYkZXxY29NZiZ6p0CHExhi5buZYn3VqtZJxZ/QJcYuEQPB4vaz/7SAzX1/CtkP5WB1O9haWcte/P+M/G7djczjD3cSwkWU3sutX5IprkUvPrfupmIXs/LnueDchpEQwFTqMQYMyuG7WWFSq4y9rs1nPc3OvICnJHMaWCa1VUmXj6U++9Vm3YPWmzj3k6zmKXHYVuPccL3P/hlw+AzxHwteuTkoM8wodhtls4LJLRzDxrP6UlFaj0aiIizMSHxcltsW0U5X2GirttT7rPF6Zo+UWMuJjQtuoCCDLLmT7Inwf4eZEtr0HpoeRpPCfOtNSXtmL1W1Blr3olEa0Sl24m9QsIpgKHYpOpyE1VUNqaky4myIEgFLR9JcgrbqTfoR5beDc7L/etRW8VlDGhaxJ1c5arG4nCkkiQWs86b+dL1WucrZXrGNT2VfUeu30jhrKhOTLidemopQiOwdwJ30lCoLQHsQa9XRPjONASXmjuiithpSY6DC0KgJIWlCmgHun73pFct1tQsDp8XCguoznf/6W74tziVbruKbnqVzefSgphub/+1S7KvjPoRc4bD8+bP2LZT27q37k1l7PkazrGozmB4wY+xIEIWIlRBt59orJGDTqBuUqhYIXpp9HUrTv00w6OkmhRzLe5L/eeDOSIjTPzb6qUi5a+TZrCvfj8nopd9h5eed33Pb9EoprrM2+TnHtkQaB9BiX7GRl4SIcnsieHxc9U0EQIlqf1ASW3XUNq3buY8vBPHonJ3D+0L6kxZhQdebjv1Q9IOpBsD4PeH8vVEDU3aDqHZImVDlrePbnVTi9jQ8I/7m8gP1VpSTpm5cb+1fLBr91e6u2Uuuxo1VGxoHpvohgKghCRFMqFHSJMzNr7KnMGD0UVSvm4joiSWEGw5WgmwiunYAM6gGgiEdShOZwB6vbxfdFuX7r/5e3l+zkzGZdS6v0v2dYrdAAkb1PPKyvynXr1jF16lTS0tKQJInly5c3qF+6dCnnnHMO8fHxSJLE9u3bm3XdJUuW0LdvX3Q6HQMHDuTLL78MfOMFQQg5EUgbkhRGJFU3JP15SPopdf8fokAKdeHNoPK/YjhGc3wlruwpRnbtQXZuR3YfRvY2HLYdEnOG3+sMj5uIUWVqc3uDKayvTJvNxuDBg5k/f77f+jFjxvDss882+5obNmxg+vTp3HDDDfz0009MmzaNadOmsWPHjkA1WxAEQQDitQau6D7Eb/15Gf2QZRnZ9Rty+VXIZRcgl19el2DCOg/ZU1Z/2xh1IuMSL2l0jQRtGqcnTEWlUDeqiySSHCEJSyVJYtmyZUybNq1R3cGDB8nKyuKnn35iyJAhTV7niiuuwGaz8fnnn9eXjRo1iiFDhrBgwYJmtaWqqgqz2YzFYsFkiuxvQ4IgdGxutzuiD+UusFdx/dr/8FtVw1SeDw0+kyu7DyVKWY5cehHIFY3uK0U/CoYZSFJdv87urqbcWcTmspXYPVUMjhlLhqEPZk34UiQ2Nx5Ezr9IgGzcuJHZs2c3KJs0aVKjIeQTORwOHI7jm5+rqsRxXYIghJ/T6SQvLw+bzVZfZjQaSU9PR6OJjIQMqQYTC8ddxa7KQlYc2UOczsi0bgNIM5iI1uiQa3f4DKQAsu1VJN3Zddt8AIMqGoMqmnR9D2RkFFL7GdbvcMG0sLCQ5OTkBmXJyckUFhb6vc/cuXN58skng900QRCEZnO73Y0CKdRNf+Xl5ZGRkRExPdRkQzTJhmgmpPVqVCe7Gm93qectA7lxfmVJkpAifMHRH7WfsB9Ec+bMwWKx1P8cOSLyWnZEbrcbh8OB3W7H4XDgdrvD3SRB8Mvj8TQKpMfYbDY8nsbbUSKRpD7Ff6UiAdphykNfIuNrTQClpKRQVFTUoKyoqIiUlBS/99FqtWi1ockWIoRHexgu6ww8Hg/l5TY8XhmdVkVMTOdMutAcJwuW7SWYou4PUqzvOVPjbaBICkOjAq/D9Uyzs7NZtWpVg7KVK1eSnZ0dphYJ4Xay4bKW9FDdHq84ZLyVysqsvP/vDdxw81tcdfVr3PfAYrb9dBC73Vey9raTZRmry0K1qxKP3E4CzwmUJ0lIcbL6SCEp05Di/g3KzBNK1WC8GXST6xcf+SN7CpBrv8Zb+QDe6peQXfuQvb577OEU1p6p1Wpl37599b/n5uayfft24uLi6Nq1K+Xl5Rw+fJj8/HwA9u7dC9T1Po/1NGfOnEl6ejpz584F4K677mLcuHG8+OKLTJkyhcWLF7NlyxZef/31EP91QqRoznDZyeaeCiqr2XzgCCt37iM+ysDlpw0iPc6EWd8+TrQIt8pKG8++8AVbthzf4H8gt4T7HljMM09fyqiRPQP6eBZnGTssG9hcvhKv7GFIzDiGxU0gRpMY0McJJqVSidFo9PnaNRqN7SaYAkjqXhD3AXjLQXaAIhYUCUiKpg93l91HkStmgufo8TLbq0imuci6yUiKyMmIFNatMWvWrGHChAmNymfNmsXChQtZuHAh1113XaP6xx9/nCeeeAKA8ePHk5mZycKFC+vrlyxZwiOPPMLBgwfp1asXzz33HOedd16z2yW2xnQsdrudAwcO+K3v3r07BoP/N2VeuYVZbyyhoLK6Qfk9k8ZwxciBRIuAelI5OYX86baFPuvSUmN4+Z9XEx8fmGQDFmcZ7x38G4W1BxuUx6gTuanH0+0qoHbm6QnZa0e2PAqOz3zUSkgJ/0NSdQt6O9rF1pjx48c3OWR27bXXcu211zZ5jTVr1jQqu+yyy7jsssva2Dqho2jLcFmNy8X8bzY2CqQA//x6PWf26y6CaTPs3J3vty6/oBK73RGwYJpr29kokAJUukr4qWI1ZyRdEvHHeR2j0WjIyMiI6H2mQSNXgOMrf5Xg3AAhCKbN1eHmTAXhj44Nl/lysuGySlsNX/6y12/9mt3+e7zCcWaT/+E8hUJCpQpMcHN6atlascpv/U8Va7G7G38ximQqlQqtVovBYECr1XaOQAogewD/6xlkb2WDDErhJoKp0OGpVCrS09MbBdRjw2VNfTh5ZRmXx+u33upsvEdOaKxv31TUat8B84yxfYiJCdzclwL/gVkpqdrd/sVOS4oClf9tNZKqO3L5DOTatY3y/IaDCKZCh+XxeCkurmLfviKO5lUSHZ1A79696d69O7169SIjI+Ok805ROi0jsrr4rR/ft3ugm90hxcdF8cRjF6FQNAxkaWkx3HzTBPT6wMz/aZQ6RsVP9lt/Wvw5EZ8wXagjKeOQTI/jM0xpRoEnDzwHkCtvBs/+kLfvjzrJeIHQ2djtDn7cfICXXvkfVVU1QN0H91/mXEDvXikolc37HmnW63jo/HFMf20xTnfD7RVn9MkkPdYc8LZ3RBqNimFDu/HuOzfz448HKC6uYsiQrvTonkRCQnRAH6uLoSc9owazz/pzg/JUXSb9TKOQJNEzbTdU/ZDilyBXPw/OraCIAf0lSKq+yJYHfr+RjFz9EsS8hKQI7GupJSIm0X0kEat527+dO49y593/blSu1ap48/UbSE+Lbfa1XG43h8osvLpqIz/sO4zZoGPWmFM5q39PEqNF0oFIVO2qIK9mHz+UrsCLh+GxZ9Etqh9mdfgSpgut5/WUI7l2gDcPueZzcG1ueANFHFL8J0jKZN8XaIN2sZpXEILBaq3l7Xe/81nncLj59ttdXD3j9Gb3UNQqFT2T43n6knOornWiVEgkiCAa0aLVsfRVj6B71CCQZTRKseK6PZMUMcjO78D+ru8bKFLDnpZQzJkKHU5trYvc3BK/9bt25+FytTwjjkGrIdkcJQJpO6JRaEUg7QAkSYGkvxz8LB6Tom5HUjR/tCkYRDAVOhyNRkVKiv+5zMxuCQHbiiEIQogo05HMLwEn5lFXgPEW0JwapkYdJ4Z5hQ7HZNJz7cwxPPTwkkZ1CoXE5HMHN1pVGiqOGieVxRY8bi+GaB0xSWIBU3NVVdfgqHWj1iiJMUdOGjkhNCSFAVl3JpL6K/AcqDu6TdULFPFIisAk/GgLEUyFDqlvnzRuvnE8by9ch9tdt0/UaNTyyMMXkJwcnkVlxUdK+eCpj1n53lpcTjeZA7pyxyvX03t4D/RRYijSH5utln37i3nz7bUczC0lJdXMtTPHMmBAlyaTQZyM7K0Fbyl4SwAVKBNAkYTUTrIjdUaSpAVVl7qfCCNW8/ogVvN2DLW1Tioq7BQVW1CplCQmRBMfHxWWId6y/HIemvQ0B3c2PCtXkiReXPMkA8c2ceZjJ+bxeFm9ZjfP/L1xftbrrzuDSy8ejk7X8oUnsqcSuWYZWF8Efk+8IcUixbwCmqFIHeSMTaHtmhsPxJyp0GHpdBpSU2MYMrgbA/p3ITnZHLa50oM7jzQKpFB3TNhr9yzEUloVhlZFvrIyK/Pmr/RZ99776ymvaDrzTXmtncPWCvJsFmrdruMVru1gnUt9IAWQK5ArrgeP/zzCguCPGOYVhBDY+r+f/dblbDtArdWBOSGEDWonqqpqqKqu9VnndnspKraQlhrTqK7G7WJnRSF//el/7KwoRKNQclHmQO7oN4ZUvYxsfdnPI7qQaz5Dir4zcH+E0CmIYNrBuN3ugJ0wUeN2UVJrpdxhR6tQEa8zkqQP/0R/exSfHue3zhCtR6ESg0S+nCxTlUbt+7W9p7KI6avfx/v7LJbT6+HDA9vZXHKE98dfSpLnsP+Luncjy24kSXw8Cs0nXi0dSCDPPiyrtfHW3k28tXcTbrluAU+3qFheG30pvc2JIiVbC42aciqv3/c+Xm/jpPlTbz2HmGSxqtcXk1lPenoseXkVjeqiorQkJjT+clfhsPPM9m/qA+mJDlSXsbeygiT9cHCs9v2g6sEikAotJr4OdxBut7tRIAWw2Wzk5eXhdvs/yuiPvLLMl0d28689G+sDKcAhawVXrf43+XYxv9dS8elxPLzoLhSKhm+5ftl9mHbneaj99LA6u/i4KB59+AJ0OnWDcqVSwWOPTCM+vnEu1hq3i21leX6vubrwAJLxLj+1OiSd/0T5guCPeAd3EB6Pp1EgPcZms+HxeJo93FtcU828Xet91lU6a/i1vIB0o+hJtYTOoGXU1FN5Z+/L/PTtr1QWVzH0rIGkZCURlxwT7uZFtB49knnz9Rv4bv1eduw4SvfuSUw8qz/JSSafw8AKSSJaraXa5fB5vWRdFKi6IZmeQa5+BmRrXYUyHcn8T1CmBfPPETooEUw7CI+n6fR4J6s/kdProbTWd2CGuvmoczP6Nvt6Qh2tXktajxTSeqSEuyntilKpIC01hisuG8mlF4846Txqgs7IrF4jfH4hlIBJXfoiKYzI+guRtKeDtxxQ1SVLVyYF548QOjwxzNtBKJVNb/k4Wf2JtAoViTr/C41OiQ38yQyC0BzNOTpPpVByVc9hjEjIaFAuAc+PvIAUQ93QsCSpkZRpSOoBSOq+IpAKbSJ6ph2EUqnEaDT6HOo1Go0tCqZJ+iju6Deax7d93aguVqNnQGxqm9oqCMGWrI9m3uiLOWytZH1hLrFaPWNTupOkj8KgEgkZhMATwbSDUKlUpKen+13N25LtMZIkMTnjFIpqrLyxdyOu31egZkbF8eroS8R8qdAuJOiiSNBFMSwh8lLPRTKXx0G1p5IKRxGSpCBWk0S0KgaVIjK/hMieAnDtQHb9gqTqBephoEwNeVpIkU7Qh/acTjCw+0ydlNbaKHfUoFOqiNMaSBT7TAWhw6pxW/mlcj1fFLyNR67bAaCWNEzrchunmEagVbY+F3IwyO4DyOVX1+VYPkYyIsW+C+oBSFLbZzKbGw9EMPWhPQdTIXJYLHYqLTU4nW6io3XEx0WhVosk6kLkOmjbzRv7/+Kz7vZeL5Kmzwpxi/yTPeV16R/duxpXKhKQ4pciKdu+2K+58UAM8wpCEBw9Ws4zf/+MPXsLANDp1Fxz9WgmnztIHB8mRCSHx87aoo/91m8o+YxpXW5BpdAgy06QPUiKMPZUveW+AynU9VQ9xRCAYNpcIpgKPrm9HpweDzqVGoXIdtQiJSVVzL7/P5SWVteX1da6eOPNNURH65gyebDIICVEHJfXSbmryG99qTMf2WtBdh9Btv+7LphpJ4F2HJIqHHtzfe8jrnds/3CIiGAqNGB3OzlirWTRvq0cqC5nWEIXLs4cSLrRjEohhiibI/dgaYNAeqJ331vPyNN6kJjQOHOPIISTRqknVdedUofvU3POTJyM0v4usv31+jLZuQFsyRC3CEmV4fN+QaOIAckIsq898VLIk2+IfaZCPafHzdr8/Uz5+g3+vX8bG4oPMm/Xes77+g12Vfj/xio0lLOv0G9dWZkVp7P5qR0FIRDKyqzk51dQXFyF2+07gYtGoWVc0sVIPsKCRqGjuz4BTgik9bxFyNZ5yN6aQDe7aYokpCg/aSH1V4IiPrTNCemjCRGtuMbKfT9+yh9XpNV63Mze9AklNaEdNmmvMrr4fxNHRWlRh+lMVaHzqaqqYe26Pdx59/tcPetfXH/Tm7z7/nrKyny/lxM0qczKegST+vhrOFaTzM3dn0Hh72AAgNrPwdv4MIJgkiQ16C9EMr8AyvS6QkUcmP6GZPwTeIuRXfuQPaVNXyhAxDCvUO+IrZJaj+9eU251OZXOmrBujZFlmcrKusOgTSZ9s7LhhEOf3ikYjVpstsZzOpddehrx8cYwtErobLxemY0/7OPZ57+oL7PbnXywaCMHDhTzwH1TMP9hMZxaqaVn1GBu7fF37J5qQMKgisakjsNb3dQcpbsuxVSISYpY0F8AmlEgO5HRIslFyJV/Avfeuhsps8D8N1APQpKCt1c2Mj+NhLBw+Tge7EQeuen6YCopqea/y7Zw7/3/4Z77FvHRx5soLo7M02sSE0384/npxMcf/+IhSXDupIFMmTy4RdmoBKG1ysqq+dcbvnuTG3/YT3m57/zbkiRh0sSTos8kRd8Nk7ruLF5JO9H/g2nOACl86wAkZRKSqgsSduSyq44HUgBPLnL5TPAcCmobRM9UqJcZHYtKUjQ4du2YZH00MZrwbOkoKanmob98SG7u8eGaN95cyxdf/Mw/XriKpKTI2gusUEj07JnMq/NmUVZmxWatJTnZTEyMgagoXbibF9DEHkLkstoc9SM5vhzILSYrK7H5F1R2Ac1EcH7TsFwyIEU/gKRoOphanDWU1Nj4tTwfo1rLKTHJJOqN6JTqJu/XXLLsRq5ZAtT6qHUjW98E05NIiuC8B8U7SKiXoDNyz8BxPP9Lw2+zEvC34eeRHKYh3q3bchsE0mPyCypZu243l1x8GgpFZG01kSSJxIToiFu1G8gD5IXIptGokCTwl5bHbGrZl2NJGQ/mJ8FxNrL9bfBaQHsGkvHGukDbhNIaG8//upqPc38+3j6Fkn+MupDxKT3QqwPw2pPt4Nzsv961/fftMsEJpmKYV6hnUGm4svtQFo6bzqkJXUjVR3NWWi+Wn309I5O6hmVvpNVay5df/eK3fsXXO6iqCvEqwnYqkAfIC5EvxqzntBE9fNYZDVoyMuJafE1JmYhkuAgpdiFS/MdI0Y8gqTKRpKb7Zd8W5DQIpFB31OOfNy4jvyZQ0zVaUDSxHUaZApI2QI/VmOiZCg3E/H66xqC4NGo9LowqDVHq4L0AT0ZSSE0uNFIqFYj8B80TyAPkhchnNOr4851nc/+DZeTnV9aXa7Uq/vb0pSS0YdREUjZ/20lJjZUFuzf4rPPKMssP7uDeQeNb3Zb6Nim0YLwe2fGF73rjLScdim4L8c7pJOx2J9XVNcjUbc+IMjY91GHW6DAHaTikJYwGLRdeMJSffznss/6CqUMarUgUfAvkAfKdgSx7wVv8+5YPCRSxdXsb29G3t9SUGF56cQaHDpexa1ceqakx9O+fTmJCdMhWw3tkL0U1vpOYAByyliPLcmCeV1UmkulJ5KqngGMjLQqI+jOoTmn79Zt66KBeXYgIR4+W8/qba9iwMQdZljn11Cxu+9OZZGTER+z2khMNHJDBoEEZ/PLLkQblvXunMHJkzzC1qv0J5AHyHZ3srQHnj8hVD4O3pK5QkYxkfg5ZMwwpiMOFgZaQEE1CQjSnDssMy+PrVWoGx6WxqcT3F+KxKT0C9gVFUkQj66YhaUaD+zfAA6q+oIhHUgR3zYc4NcaHjnRqTGFhJbfe8S4WS8N5RZ1OzesLrqNLesvnTcKhrKyaXbvz+eTTbcgyTDlvMIMGZrRpqKqzcbvdHDlyxO8B8hkZGWKY93eyaw9y2TTgjyvbVUgJnyGpfM9FCr79VHqUy1a92yghTLzWyLKzr4voM5KbGw8iv1sitJrXK/Ptmt2NAinUJV5ftmwLLlf7WHQSHx/N2DF9eOrJS3j6r5dw5oR+IpC20LED5I3GhkkjWnOAfEcme2uQra/TOJACuJFt79WdmiI0W5+YJN4+40oyjDH1ZaOSurH4zGsiOpC2hHj3dGB2u4ONP+zzW795Sy5Xz3AQG9t+XgZ6vdi+0RYajYaMjAyxz7Qpsh3cu/3Xu3eC1w5K8VpsLoNKwxmpPfjorFlUOWtRKRTEavWYNZF12HhbhLVnum7dOqZOnUpaWhqSJLF8+fIG9bIs89hjj5Gamoper2fixInk5OQ0ec0nnngCSZIa/PTt2zeIf0XkUquVmE3+X6wmkx6VSgxOdDYqlQqtVovBYECr1YpA+keSDlSZ/uuVWSB1nCAQSkn6KHqaE8iMjutQgRTCHExtNhuDBw9m/vz5Puufe+45XnnlFRYsWMCmTZswGo1MmjSJ2lpfGS6O69+/PwUFBfU/69evD0bzI55Wq+ayS0/zW3/F5SOJju5YL2hBaCtJYUQy3uKvFsl4Xd02DEE4QVi/kk6ePJnJkyf7rJNlmZdeeolHHnmECy+8EID33nuP5ORkli9fzpVXXun3uiqVipSU0J2wHskyMxO54rLT+HDJjw3KJ509kAH9m85aIgidlqoHkmkuctWT1KenkwxIpr+BsltYmyZEpogd38nNzaWwsJCJE48nVzabzYwcOZKNGzc2GUxzcnJIS0tDp9ORnZ3N3Llz6dq1q9/bOxwOHI7jJyJUVUVmAvXWMJv0XDU9m3POHsjGTfvweLxkj+pJYqKpySFgQejMJEUUsv58JM0o8BZQd9h0CigSg3rySDB4vTLFxVXs2HmUA7kl9OmVQt++qSQnd4yFP5EiYoNpYWHdAcvJyckNypOTk+vrfBk5ciQLFy6kT58+FBQU8OSTTzJ27Fh27NhBdLTv1Z9z587lySefDFzjI0x0tJ7oaH3LkloLQSMSzbcPkqQFVTqQHu6mtJosy+zbX8Ts+xZhtx9fgWw26/nnCzPIzEwIY+s6lg63+mTy5MlcdtllDBo0iEmTJvHll19SWVnJRx995Pc+c+bMwWKx1P8cOXLE720FoS2cTidHjhwhJyeHAwcOkJOTw5EjR3A6xVYLIfDKyqw88th/GwRSAIulhr8+vZyKCt/pJYWWi9hgemzOs6ioqEF5UVFRi+ZDY2Ji6N27N/v2+d8iotVqMZlMDX4EIdBEonkh1CoqbJSW+k7ld/BQKRaL/yPahJaJ2GCalZVFSkoKq1atqi+rqqpi06ZNZGdnN/s6VquV/fv3k5qaGoxmCgFW67FT7arE6Wl6xXZ71JxE84IQSLUOV5P1Tqf4AhcoYZ2osVqtDXqMubm5bN++nbi4OLp27crdd9/N008/Ta9evcjKyuLRRx8lLS2NadOm1d/nrLPO4qKLLuKOO+4A4L777mPq1Kl069aN/Px8Hn/8cZRKJdOnTw/1nye0gN1tpbD2IGuK/0uFs4h0fQ/GJ11CvCYVtbJjbEMQieaFUIuPi0KhkPB6G2eN1WpVmFp4pqngX1iD6ZYtW5gwYUL977NnzwZg1qxZLFy4kAceeACbzcbNN99MZWUlY8aMYcWKFeh0x08z2b9/P6Wlxw+OPnr0KNOnT6esrIzExETGjBnDDz/8QGKiWHwTqZzeWrZVfMtXBQvry8qdheywbOTarEfpGT04fI0LIJFoXgi1mBgDF180nI//2/jQ7GuuHk1cnNHHvYTWEInufehIie7bg3JHEf/cewdeGvfMYtSJ/KnnXEzq9pGQvyki0bwQDpWVNtas28O/P9hAebmN5CQT1147llGn9RDHFzZDc+OBeOcKYVfqyPcZSAEqXSXYPdUdIpgeSzT/x0VIItG8EEwxMUYunDqMMaf3xuX2oFGriI8P7nFkLVHtqqWs1o7N7SRapSVBZ8Sgbl97eUEEUyECKKSm18F53TJOpxuNpv2/XEWieSEcJEmKyFOWCuxV/HXb16zM+w0ZUEkKLs4ayD0DxpGkj7z2NkW8g4Wwi9emopLUuOXGKw8TtGls31zEb7/uZcb0bBIT2/+wu0qlEsFT6PQqHHbu3/QpG4sP1Ze5ZS8fHfgZZHhk6DkYf++hOjw12NwWqt0VqCQtUWozJlVcwA4VDwTxjhbCLkoVw7Qut/HxkZcblKskDeP11/HPd7dwNK+CnJxCnnryUrFoQhA6gLJae4NAeqL/HvyFW04ZjVGtwea2sL7kU9aXfFo/HWRSxTEj80HS9N1RSJGxcC9i95kKnYdaoaGf6TTu6PUiQ2Mm0NXQl+FR53Fp9GO8+8oujuZVALB7TwGFhZXhbawgCAFRXGv1W+eRZapddXvNd1dtZl3JsgbrKqrc5bx14HEsrrKgt7O5RDAVIoJWqSdVn8U44zXI68axdaGJe/70Gb/8nNfgdjt35fm5giAI7Umc1v9BGxJgVGupcpXzbdGHPm/j9NZywPprkFrXcmKYV4goHrfEso9/weXyvbo3Li5yViEKgtB6CTojfcxJ7LUUN6qbkNqTeK0Br1zdZO+zoCY3mE1sEdEzFSJKbIyBsycO8FmnVivpd0paiFskCEIwJOiiWDDmUnqbGybUOS0xg78On4xJo0MpqYjTJPu5AnQx9A52M5tN9EyFiKLVqpl5zWhycgrJ2Xf8kAO1WsnTf700Ipf3C4LQOl2jYnl/3FWU1Nooc9hI0keToDUSp6tLJhGtjuXslBl8ePgfje6rV0bRzdg31E32S2RA8kFkQAq/8nIrefkV7NhxlISEaAb070JCQjRqdWSs3BMEITTs7mq2VXzLN4WLcckOABK06Uzveh/Juq5B3x7T3HgggqkPIpgKgiBEDrfXRbW7Apu7CpWkxqgyE62OCclji3SCQofi8niwuh2oJSVRmo5xiowgCM2jUqiJ1SQRq0kKd1P8EsFUiGheWeaorZLF+39ibeF+YjV6buo7igGxqcTrRPIGQRAigwimQkQ7UFXGJasWYnU56ss2Fh/iqh7DuHfgeGKa2KsmCIIQKmJrjNAiToeL0vxyygoqgn6YdbWrlrnbv2kQSI9ZtH8bhTVVQX38SFNjq8VWZQ93MwRB8EH0TIVmkWWZwtxiPv7HZ3z3302otSqm3DSRs2eNJ7FLfFAe0+KsZW3hfr/1q/P30TfG/x60jqK8qJKcrQdY/sqXOGtdnHX1WEZMGkpiRnCed0EQWk4EU6FZCnOLuWPkHKrKquvL3nl0MWs+2sAzXzxMQpACalMkIufEiGCpKKrklVvf4PvlP9aX/bJuF+k9U3hu1eMkZSSEsXWCIBwjhnmFk3I5XCx7+YsGgfSY3F8Ps3Pjb0F5XLNax4S0nn7rm6rrKA7tOtogkB6Tt6+Qr95chccd3KF2ofOQZSeyJw/ZtRfZfQTZazv5nYR6IpgKJ1VVbmXdfzf5rf/fu2twOhqfRdpW0RodcwZPxKTWNaq7puepJHbw1bwet4fPF/zPb/2Kt7+lsrhzzRsLwSF7ypCtryGXnodcNhW59Bxky2PInsJwN63dEMO8QpMqnTVY3Q60eo3f2+gMGhSK4Ay5ZkXH8ek51/Nx7i+sKdhHjEbP5amD8Bx1sfSDzUw5bwgpKeaQHxJcWWmjsNDCDz/uR6dTkz2yJ/HxUURFNQ78rSUjN9nz9Li9yIicK0LbyLIT2fYu2BecUOoBx2fIlcUQ+wqSIjZs7WsvRDAV/CqrtfHyjnX8VlnCxOvH8uFflvi83QW3nYtKHZyXkiRJZETFcn3mCPpWxPHb7gIWLlhDWVndWYiffbGd+a/MpEuXuKA8vi/l5VZefGkFGzfuqy97/Y013HDdGVwwdSjR0YHZrqNSqTj3hrNYv6zxMC/AhOmjMYtcxUJbeYrBvtB3nWsTeEpABNOTEsO8gl+bS47wwf5tbC47QuaUU+gxNLPRbSZefQbd+nUJelsK8i08/9QXfPLxtvpAClBdXctb76yjpsYZ9DYcs3HjvgaB9Ji33llHfkFlQB+r59AsBow5pVF5XEoMF915HmqNOqCPJ0QGt9uNw+HAbrfjcDhwu93BezC5Gqj1X+85ErzH7kBEz1TwqcJhZ8HuDfW/37vva55640q8v1WxbfGPaAwaLrhlEl37phOTZA56e9Z9t8dv3Xfr93Lrn85E38RQdKCUV1j56GPfPUWAzz7fTs+7klEqA/M9NT41lkcW382PX/3EJ/NW4KhxMv6K05l03QRSMiM3tZrQek6nk7y8PGy24wuAjEYj6enpaDRBeI1LBuqO4/YzZaAQK8abQwRTwSeX10tp7fEeoNXl4J6cFWRExTD8/r4km+Lo2bcnBnXwAxiAook50VDOl3o9MlXVNX7ry8uteL1evMjUeFzolWrUyraddBOfFsfkG87i9AtH4PV4McVHo1SJ03M6Irfb3SiQAthsNvLy8sjIyEClCvDHtiIetGeB45vGdcp0UKa06rI1bit2TzUe2Y1OYcSkCd1UTDiIYCr4FK3WMiKxK58e3tmgvNJZw7bKPPonpKBXhW6I8Ywz+rJo8Q8+68aP64vJFJq0gkajlmFDM1m9ZrfP+rFj+pBfW8Vbezexu7KIvjFJzOw1gi7GmDY/X+YEcYJRR+RyubEUVyHLMgaTDrvdd5Yrm82Gx+MJeDCVFFFgehS5sgRcPx+vUKQixb6JpGx5YpQyRwGfHF3AftuvAJjV8ZyfdhM9ogagVRoC1fSIIoKp4JNepea2fqNZcXQPTq+HrsYY5gzNJkrtwOYuo6fJjNVdSbQ6NAsTkpPNnDd5EF9+9UuD8pgYA9fOHItOF5rArtdrmHn1aNZ//xsuV8OVtomJ0fQemMrZXy3A8/vJhtvK8lh8YDuvj7mcM1K6o1SIZQrCccWHS1k+70u+fmcNbpeHsZeM5NJ7z8eprsXpbLwOIFgpPCVlKsQsAG8RuA+BMhmUaUit6JVWOkt5Y/8jVLsr6sssrjI+OPR3buj+V7pHDQhk0yOGOM/UB3GeaR2nx8PuyiLm7fqO2/r15+uifzZ4gyRquzAr65GQHYtUWWkjZ18RS/77I9VVtYwZ3ZuzzuxHSkpMSB7/GLfbw8FDpbz62iq2/3wYlUrB+HGncM01o7l1x3/ZXVnc6D4xGj2fT7qBVEPw55eF9qH4SCn3TXiCggNFDcqjY6P45/d/pdptaXSfXr16odVG9hGEv1Z+z+LDL/qsS9N359qsxzCq2s/nqjjPVGgzjVLJ4Pg0/j7iTN7JfbRBIAUocRxl2ZFXmd7tPvSqqKC3JybGyIjh3RnQvwtutweDQRuwhT4toVIp6dkjmScfvwibzYEkSZjNBvbby3wGUqgbHi+rtYtgKtT76ZtfGwVSgOoKK58vWMnkO8Zjrz0+5Gs0GlG2cf49FPZX/+K3rqAmF7c3dCvvQ0kEU+Gkar0WKly+g8R+2y9YPZY2B1Ov10tZfgUVRZV4XB5ik2OITTGj1Tf+Fh6KVbvNER2tb7Cn1GtvepDHKxIsCL+rtdWyatF3fus3frKFyX+aUP/7sdW8AV98FATx2lS/dVGqGCSpY051RP6/jBB2do+1yXqXt/ERaS3hcrrZs+k3nrr8n1QUVQKg0Wm4/m/TOWfWeKLjgt/rDYR4rYFotZZqH0fGRak0JGg7dvpDofkUKiWGJpJ76IxazDFmUszJKJVKlEpluwikAKeYT+N/hf/Gi7dR3RlJFxGt6pgJIDrmVwQhoMzqxvvMJCROjR3DHd1nk6y0IbsPIntblye2+HAJD57zdH0gBXDWOllw77vs+iE4SfSDIUkfxdPDJ/us++vwySTq2seXAiH4NFo10+70/VoBmHbnZOJT4zAYDGi12nYTSKHu8+LqzIdQSQ1HkAbFjGWQeUzIU3+GSvv5FxLCJkpl5hTTCHZXbQbqAunVXW8mkx/QWP8EuJCRQDMezI8jKdNadP21H27A5SdR/ruPfUjf03q2i20hKoWS8ak9WTrxOl7b/T05lhK6RydwR//R9DAltHm/qdCxZA7IYNK14/l64ZoG5YPH9SP7ghFturbsrQRvGXgtIJlBGRey/LpqhYYeUYO5u88rFNUeptZjI03fnShVDAZVXfpLq7WW2loXGo0qZNvagk2s5vVBrOZtrMpVzuqiJWyr+JaBphFMNdegrn2/8Q1Vg5Bi/4WkbN75ph63h6cu/4fPY8YADNF63tz5z6AdQB4sVpeDGrcLvUpNlDqyV18K4WMpqSJvfyEr3voWZ62Tc2aNJ3NABnEprQ98sqcA2fIgOE/Yl60+DSnmuRZ/0Q00e42TgwdLePuddew/UExysplZ14yhX790zBEaVJsbD0Qw9UEEU99cXifV7gqiJRvKsgsB33OlUvxyJHW/Zl938bPLeGvOIp91fUb05JkvH8YULxK6Cx2bLMttHgKVPZXIlnvA+X3jSs0opJhXkBQxbXqM1vJ6Zb7f8BuPP7msUd21s8Zy2SUjImZx4YmaGw/EnKnQbGqFhjhNMipc+AukAHiOtui6Z1yS7feIt+uevlIEUqFTCMhcolzuO5BCXU/VW9b2x2ilsrJqXnrF9/m8772/norK9n0YuQimQstJeqCJ+T9Fy5I4JGUm8Pyqx0nMOL7QSR+l4+4FN9N7RM9WNlIQOiFv0yvv8VaHph0+VFXXUlHhO2B6vTL5eZWhbVCAiQVIQssp4kF7Hjg+a1yn7AItnJdRqVScMqo3r2z8G5aSKtwuNzGJZuJSY8QRY4LQEoqTjOIowjdtpVA03fNWqdv3Aj0RTIUWkxRGMN2PbCkD5/Fj2lB2RYp9A0nZuvSCCWlxJKR17JMlBCGoFPGgmQDO1Y3rNGeAFL73l9lsoGvXeA4fbjzUrNdrSE1p39nBxDCv0CqSMgUp5p9I8V8gxbyJFLcUKW4Rkior3E0LOrvdSVVVDR5P403pghBOksKEZH4StBMbVmgmIJmfRlLGhKVdAHGxRh5+cGqjQykUCom/zJlKXDtJzuKPWM3rg1jNK/hSWWnjt5wiPv7vj1RX1zJ6dG8mhiHRviCcjOytBm9p3RypIhoU8UhhHOI9xuPxUlRcxZo1u/l1xxG6dUtg8rmDSEk2o9VG5pROu1jNu27dOqZOnUpaWhqSJLF8+fIG9bIs89hjj5Gamoper2fixInk5OSc9Lrz588nMzMTnU7HyJEj+fFH33sYhc7LUeOk6FAJ+fsLqShufDrHH1ksdt54ay0PPfwRW7YeZO9vhbz9zjpuu/M98vIqTnp/QQglSRGNpMpC0gyq++8JgbS02kaRpRq7I/QJ55VKBWmpMVw1PZsnH7+Ym2+cQLeuCREbSFsirMHUZrMxePBg5s+f77P+ueee45VXXmHBggVs2rQJo9HIpEmTqK2t9XvNDz/8kNmzZ/P444+zbds2Bg8ezKRJkygu9p2oXeh8ig+XMv/Pb3Fdnz8zq9edPHDWk2xfvYMaq//XVWFRFV+taHwaRmWlnYXvfUdtre8MToIQKUqrbXz04y/Men0Jl/zfBzzy3/+xr6gMl9sdlvZoNKqTLkpqTyJmmFeSJJYtW8a0adOAul5pWloa9957L/fddx8AFouF5ORkFi5cyJVXXunzOiNHjmTEiBHMmzcPqDuNJCMjgzvvvJOHHnqoWW0Rw7wdV1l+OQ9NepqDO480KP//9u4+KIo7TwP4MwwwvAiDgMyLEXkTiPh2MSvBmBfjHOKp+JJdA1EX5TQVb3cTYsqYxOBL1MsRU8bs6uklh7DrGaJWaerWpHQRMa5ZghvGMbpJfAu+oIIgwsAMCMz0/WExF2QGGBqnB3w+VV3l/Jpunm8x8qV7un8tk8nwQfFajHna/mQTH/93MT7bU2p3nVzugd1/ehlhYXyvkHuqbTRjzYEjOPr9pQ7jXnI5Cpal4dGhrnkmcX/UL07zdqW8vByVlZXQ6f7/g3SlUonExESUlJTY3aalpQVlZWUdtvHw8IBOp3O4DQDcvXsXRqOxw0ID05XvKzo1UuDeH2/bX8tHXbX9n313f3JarLwYidzXjTpjp0YKAK0WC/7ji2OoNzs+K0M947bNtLKyEgCgUqk6jKtUKtu6+9XU1MBisTi1DQC89957UCqVtmXYsGEi05O7Kis87XDdxVPlaDbZ/6XyzFNxDrebmBSDsrJy1NZ2c8M8kUSO/3jZ4bpvy6+jsbl3j1EUBAHVTY2oMjegqe3h/qjDbZupK7311luor6+3LdeudT5yoYEhZKjjCfP9Anwh97R/47haE4Qpz3U+BRwQ4IMZ08fhP3ccxeHCs7xdhtySXxcX+Hh6ePRqKsNbTQ3YdaEMaUd3IbUwF+v0h1HeUPvQnqVx22aqVqsBAFVVVR3Gq6qqbOvuFxoaCrlc7tQ2AKBQKBAYGNhhoYEpcdo/wcPD/tt+5rJkBKns3zgepPTDv708Be+8nYrRox5BZMQQzJk9Hu+8nYpt24vQ3NyKPXtLUetgujQiKT0d5/j+75QxsQjyd+6JLdVNjXjtm8+x7tRhXG6sRU2zCfvKT2PWX3JxubFWbNx+yW2baWRkJNRqNYqKimxjRqMRpaWlSEpKsruNt7c3xo8f32Ebq9WKoqIih9vQwyVkaDDeLngVHvKOb/2EiXGY/bt/gZeX40nBBg/2R3W1EY/Ga/HUpFjcuHEHb63aZ5vRxWhsgqXN8kDzE/XGkEB/vDZ1UqdxVeAg/O6fJ8LPyWk7LzXcxje3rnYaN7W1YPOZr9DY2rvTxv2ZpNMJNjY24uLFi7bX5eXlMBgMCA4ORnh4OLKysrBhwwaMGDECkZGRyM7OhlartV3xCwBTpkzBnDlz8Nvf/hYAsHz5cmRkZODxxx/HhAkTsGXLFphMJixevNjV5ZEb8vFT4Inp45H340cwFJ9FfbURYyePgiYyDINVQd1uP2xYCP7rk2N212m1QfD25gyd5H4CfBSYlzgaE0eEY2/pd6huMEOXEIMnYoZBE+T8mbgvrn7vcN2R6+fR0Hr3oXuOr6T/87/99ltMnjzZ9nr58uUAgIyMDOTn5+ONN96AyWTCSy+9hLq6OkyaNAmHDh2Cj4+PbZtLly6hpqbG9vqFF15AdXU1Vq9ejcrKSowbNw6HDh3qdFESPbwUfgpoo9XQRjs+9e9ITLQKoaEBqKnp/PSNl5ZM7vdTotHAFejrg5FDfbB6tg4WqxVeDq4P6AlfT8dHsgq5JwbO3aM95zb3mboT3mdKXam4XotNH3yJM2fvPbc1MMAHS5dMxtNPxSIgwLnPnoj6o3/cqUTqX3LtrlsU+wusHPMcvOUD4yxNT/vBwKiWyIUeGRqM9eueR319E1pa2xAwyAchIYMgl7vtJQhEfWqonxL/GpeI3HMdJzIZPmgwMmMTB0wjdQaPTO3gkSkRUdfu3DXjckMtdl8sQ11LM2YOT8CEIeHQ+A2s35k8MiUiogdmsMIPgxV+GB2shVWwPpRHoz/3cFdP5CbarC2ob63FhYZTqG2pQtSgUdD4RELp7XiSCSJ34OnhATe+y9Jl2EyJJGaxtqHc9A/8qfzfYcW9+1S/rvlfDPYKQ2bUOgQreCU6kbvjnxNEEjO21eJ/LufYGmm7O6238MXNnWi2mCVKRkQ9xWZKJLHKpstoE+w/qPmcsQzmNj7FiMjdsZkSScxs6TwBRDsBVrQJ0jy8mYh6js2USGJa32iH65ReofCR+7kwDRH1BpspkcQCvYIRH/ALu+umazMR6BXs4kRE5Cw2UyKJ+XsGYvYjL2OKKh2+8ntz+4YpwrEocjWi/cdInI6IeoK3xhC5gQCvwXgmbC7GD34OVljgJfPGIK8gqWMRUQ+xmRK5CblMzkkaiPopnuYlIiISic2UiIhIJDZTIiIikdhMiYiIRGIzJSIiEonNlIiISCQ2UyIiIpHYTImIiERiMyUiIhKJzZSIiEgkNlMiIiKRODevHYIgAACMRqPESYiISErtfaC9LzjCZmpHQ0MDAGDYsGESJyEiInfQ0NAApVLpcL1M6K7dPoSsVitu3LiBgIAAyGSyPt230WjEsGHDcO3aNQQGBvbpvl1lINQAsA53wzrcy0Cooy9qEAQBDQ0N0Gq18PBw/Mkoj0zt8PDwwCOPPPJAv0dgYGC/fYO2Gwg1AKzD3bAO9zIQ6hBbQ1dHpO14ARIREZFIbKZEREQisZm6mEKhwJo1a6BQKKSO0msDoQaAdbgb1uFeBkIdrqyBFyARERGJxCNTIiIikdhMiYiIRGIzJSIiEonNlIiISCQ2UxewWCzIzs5GZGQkfH19ER0djfXr13c716M7amhoQFZWFoYPHw5fX19MnDgRf//736WO1aXjx49j5syZ0Gq1kMlk+PzzzzusFwQBq1evhkajga+vL3Q6HS5cuCBN2C50V8f+/fuRnJyMkJAQyGQyGAwGSXJ2p6s6WltbsXLlSowePRr+/v7QarX49a9/jRs3bkgX2I7ufhZr165FfHw8/P39MXjwYOh0OpSWlkoTtgvd1fFzL7/8MmQyGbZs2eKyfD3VXR2LFi2CTCbrsKSkpPRpBjZTF8jJycH27duxdetW/PDDD8jJycH777+PP/zhD1JHc9qSJUtQWFiIXbt24cyZM0hOToZOp8P169eljuaQyWTC2LFjsW3bNrvr33//ffz+97/Hjh07UFpaCn9/f0ydOhXNzc0uTtq17uowmUyYNGkScnJyXJzMOV3VYTabodfrkZ2dDb1ej/379+PcuXNITU2VIKlj3f0sYmNjsXXrVpw5cwYnTpxAREQEkpOTUV1d7eKkXeuujnYHDhzAN998A61W66JkzulJHSkpKbh586ZtKSgo6NsQAj1w06dPFzIzMzuMzZ07V5g/f75EiXrHbDYLcrlcOHjwYIfxxx57TFi1apVEqZwDQDhw4IDttdVqFdRqtbBp0ybbWF1dnaBQKISCggIJEvbM/XX8XHl5uQBAOHXqlEsz9UZXdbQ7efKkAEC4cuWKa0I5qSc11NfXCwCEI0eOuCZULziqo6KiQhg6dKhw9uxZYfjw4cKHH37o8mzOsFdHRkaGMGvWrAf6fXlk6gITJ05EUVERzp8/DwA4ffo0Tpw4gWnTpkmczDltbW2wWCzw8fHpMO7r64sTJ05IlEqc8vJyVFZWQqfT2caUSiUSExNRUlIiYTJqV19fD5lMhqCgIKmj9EpLSws+/vhjKJVKjB07Vuo4TrFarVi4cCFWrFiBhIQEqeOIcuzYMYSFhSEuLg7Lli3D7du3+3T/nOjeBd58800YjUbEx8dDLpfDYrFg48aNmD9/vtTRnBIQEICkpCSsX78ejz76KFQqFQoKClBSUoKYmBip4/VKZWUlAEClUnUYV6lUtnUknebmZqxcuRLp6en9brL1gwcPIi0tDWazGRqNBoWFhQgNDZU6llNycnLg6emJV155ReoooqSkpGDu3LmIjIzEpUuX8Pbbb2PatGkoKSmBXC7vk+/BZuoCe/fuxe7du/Hpp58iISEBBoMBWVlZ0Gq1yMjIkDqeU3bt2oXMzEwMHToUcrkcjz32GNLT01FWViZ1NBpgWltbMW/ePAiCgO3bt0sdx2mTJ0+GwWBATU0NPvnkE8ybNw+lpaUICwuTOlqPlJWV4aOPPoJer+/zR1G6Wlpamu3fo0ePxpgxYxAdHY1jx45hypQpffI9eJrXBVasWIE333wTaWlpGD16NBYuXIjXXnsN7733ntTRnBYdHY2vvvoKjY2NuHbtGk6ePInW1lZERUVJHa1X1Go1AKCqqqrDeFVVlW0duV57I71y5QoKCwv73VEpAPj7+yMmJgZPPPEEcnNz4enpidzcXKlj9dhf//pX3Lp1C+Hh4fD09ISnpyeuXLmC119/HREREVLHEyUqKgqhoaG4ePFin+2TzdQFzGZzp4fKyuVyWK1WiRKJ5+/vD41Ggzt37uDw4cOYNWuW1JF6JTIyEmq1GkVFRbYxo9GI0tJSJCUlSZjs4dXeSC9cuIAjR44gJCRE6kh9wmq14u7du1LH6LGFCxfiu+++g8FgsC1arRYrVqzA4cOHpY4nSkVFBW7fvg2NRtNn++RpXheYOXMmNm7ciPDwcCQkJODUqVPYvHkzMjMzpY7mtMOHD0MQBMTFxeHixYtYsWIF4uPjsXjxYqmjOdTY2NjhL9Dy8nIYDAYEBwcjPDwcWVlZ2LBhA0aMGIHIyEhkZ2dDq9Vi9uzZ0oW2o7s6amtrcfXqVds9mefOnQNw7+jbnY6yu6pDo9Hgl7/8JfR6PQ4ePAiLxWL77Do4OBje3t5Sxe6gqxpCQkKwceNGpKamQqPRoKamBtu2bcP169fxq1/9SsLUnXX3nrr/DxkvLy+o1WrExcW5OmqXuqojODgY69atw/PPPw+1Wo1Lly7hjTfeQExMDKZOndp3IR7otcIkCIIgGI1G4dVXXxXCw8MFHx8fISoqSli1apVw9+5dqaM5bc+ePUJUVJTg7e0tqNVq4Te/+Y1QV1cndawuFRcXCwA6LRkZGYIg3Ls9Jjs7W1CpVIJCoRCmTJkinDt3TtrQdnRXR15ent31a9askTT3/bqqo/22HntLcXGx1NFtuqqhqalJmDNnjqDVagVvb29Bo9EIqampwsmTJ6WO3Ul376n7ueutMV3VYTabheTkZGHIkCGCl5eXMHz4cGHp0qVCZWVln2bgI9iIiIhE4memREREIrGZEhERicRmSkREJBKbKRERkUhspkRERCKxmRIREYnEZkpERCQSmykREZFIbKZE/cyzzz6LrKysTuP5+fm2Z36uXbsWMpkMKSkpnb5u06ZNkMlkePbZZzutq6iogLe3N0aNGmX3e8tkMtuiVCrx5JNP4ujRoz3Ovm3bNkRERMDHxweJiYk4efJkj7clcmdspkQDlEajQXFxMSoqKjqM79y5E+Hh4Xa3yc/Px7x582yT/duTl5eHmzdv4uuvv0ZoaChmzJiBn376qds8e/bswfLly7FmzRro9XqMHTsWU6dOxa1bt5wvjsjNsJkSDVBhYWFITk7GH//4R9vY3/72N9TU1GD69Omdvl4QBOTl5WHhwoV48cUXHT4uLCgoCGq1GqNGjcL27dvR1NSEwsLCbvNs3rwZS5cuxeLFizFy5Ejs2LEDfn5+2LlzZ++LJHITbKZEA1hmZiby8/Ntr3fu3In58+fbffpKcXExzGYzdDodFixYgM8++wwmk6nL/fv6+gIAWlpauvy6lpYWlJWVQafT2cY8PDyg0+lQUlLiREVE7onNlGgAmzFjBoxGI44fPw6TyYS9e/c6fPRfbm4u0tLSIJfLMWrUKERFRWHfvn0O9202m/HOO+9ALpfjmWee6TJHTU0NLBYLVCpVh3GVSmV7xBpRf8bnmRINYF5eXliwYAHy8vLw008/ITY2FmPGjOn0dXV1ddi/fz9OnDhhG1uwYAFyc3OxaNGiDl+bnp4OuVyOpqYmDBkyBLm5uXb3SfQwYTMl6mcCAwNRX1/fabyurg5KpbLTeGZmJhITE3H27FmHR6WffvopmpubkZiYaBsTBAFWqxXnz59HbGysbfzDDz+ETqeDUqnEkCFDepQ5NDQUcrkcVVVVHcarqqrc6sHlRL3F07xE/UxcXBz0en2ncb1e36HptUtISEBCQgLOnj2LF1980e4+c3Nz8frrr8NgMNiW06dP46mnnup0gZBarUZMTEyPGykAeHt7Y/z48SgqKrKNWa1WFBUVISkpqcf7IXJXPDIl6meWLVuGrVu34pVXXsGSJUugUCjwxRdfoKCgAH/+85/tbnP06FG0trba7kP9OYPBAL1ej927dyM+Pr7DuvT0dLz77rvYsGEDPD3F/bpYvnw5MjIy8Pjjj2PChAnYsmULTCYTFi9eLGq/RO6AR6ZE/UxUVBSOHz+OH3/8ETqdDomJidi7dy/27dtnd5IGAPD397fbSIF7R6UjR47s1EgBYM6cObh16xa+/PJL0blfeOEFfPDBB1i9ejXGjRsHg8GAQ4cOdbooiag/kgmCIEgdgoiIqD/jkSkREZFIbKZEJNrVq1cxaNAgh8vVq1eljkj0QPE0LxGJ1tbWhsuXLztcHxERIfoCJiJ3xmZKREQkEk/zEhERicRmSkREJBKbKRERkUhspkRERCKxmRIREYnEZkpERCQSmykREZFIbKZEREQi/R/F5dh7MqHYxwAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" + "cell_type": "code", + "metadata": {}, + "source": [ + "distances = pseudobulk.calculate_distance_matrix()\n", + "distances" + ], + "execution_count": 9, + "outputs": [ + { + "output_type": "stream", + "text": [ + "/Users/vladimir.shitov/Documents/programming/patient_representation/src/patpy/tl/sample_representation.py:453: UserWarning: Using data from key X_pca of adata.obsm\n", + " warnings.warn(f\"Using data from key {self.layer} of adata.obsm\", stacklevel=1)\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array([[0. , 4.64685369, 8.5990148 , ..., 4.5335298 , 5.75458898,\n", + " 7.98608545],\n", + " [4.64685369, 0. , 6.21533269, ..., 6.09671616, 5.47561426,\n", + " 5.28739787],\n", + " [8.5990148 , 6.21533269, 0. , ..., 9.66443214, 7.75928943,\n", + " 4.24893086],\n", + " ...,\n", + " [4.5335298 , 6.09671616, 9.66443214, ..., 0. , 6.25521014,\n", + " 9.3778456 ],\n", + " [5.75458898, 5.47561426, 7.75928943, ..., 6.25521014, 0. ,\n", + " 5.92739653],\n", + " [7.98608545, 5.28739787, 4.24893086, ..., 9.3778456 , 5.92739653,\n", + " 0. ]])" + ] + } + } + ], + "id": "8bd2f018" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Run statistical test for the distances" + ], + "id": "a54fd07f" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "total_test_result = pseudobulk.evaluate_representation(\n", + " target=condition_col,\n", + " method=\"distances\",\n", + " control_level=control_level,\n", + " normalization_type=\"total\",\n", + " compare_by_difference=True,\n", + ")\n", + "total_test_result" + ], + "execution_count": 10, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'score': 1.4071983216304598,\n", + " 'p_value': 0.0,\n", + " 'metric': 'distances',\n", + " 'control_level': 6,\n", + " 'normalization_type': 'total',\n", + " 'compare_by_difference': True,\n", + " 'n_unique': 6,\n", + " 'n_observations': 113,\n", + " 'method': 'distances'}" + ] + } + } + ], + "id": "0b32efef" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "shift_test_result = pseudobulk.evaluate_representation(\n", + " target=condition_col,\n", + " method=\"distances\",\n", + " control_level=control_level,\n", + " normalization_type=\"shift\",\n", + " compare_by_difference=True,\n", + ")\n", + "shift_test_result" + ], + "execution_count": 11, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'score': 0.7520475783097537,\n", + " 'p_value': 0.0,\n", + " 'metric': 'distances',\n", + " 'control_level': 6,\n", + " 'normalization_type': 'shift',\n", + " 'compare_by_difference': True,\n", + " 'n_unique': 6,\n", + " 'n_observations': 113,\n", + " 'method': 'distances'}" + ] + } + } + ], + "id": "a32f54c4" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "var_test_result = pseudobulk.evaluate_representation(\n", + " target=condition_col,\n", + " method=\"distances\",\n", + " control_level=control_level,\n", + " normalization_type=\"var\",\n", + " compare_by_difference=True,\n", + ")\n", + "var_test_result" + ], + "execution_count": 12, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "{'score': 1.368932888187764,\n", + " 'p_value': 0.0,\n", + " 'metric': 'distances',\n", + " 'control_level': 6,\n", + " 'normalization_type': 'var',\n", + " 'compare_by_difference': True,\n", + " 'n_unique': 6,\n", + " 'n_observations': 113,\n", + " 'method': 'distances'}" + ] + } + } + ], + "id": "8f615299" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### The interpretation of the results format\n", + "- **score**: difference (or ratio if `compare_by_difference==False`) between the distances in comparison groups with correction for random\n", + "- **p_value**: simulated p-value of the score\n", + "- **n_unique**: number of unique values in `condition_col`. Doesn't really matter in this case, because they transformed to \"case\" and \"control\"\n", + "- **n_observations**: number of samples. Can be less than expected if for some samples value in `condition_col` is missing\n", + "\n", + "For the interpretation of different normalization types, please refer to the page 17 and figure 4 of [Petukhov et al.](https://www.biorxiv.org/content/10.1101/2022.03.15.484475v1.full.pdf)\n", + "\n", + "As we can see here, all 3 appoaches detect significant differences between cases and controls. That is, distances between cases and controls are significantly higher than within these groups. Additionally, variance within patients with diseases is significantly higher than between controls." + ], + "id": "70c22131" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot embedding of the data for a sanity check" + ], + "id": "3e859c4b" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "pseudobulk.plot_embedding(metadata_cols=[condition_col])" + ], + "execution_count": 13, + "outputs": [ + { + "output_type": "stream", + "text": [ + "/Users/vladimir.shitov/miniconda3/envs/sample_representation/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n", + "/Users/vladimir.shitov/miniconda3/envs/sample_representation/lib/python3.11/site-packages/umap/umap_.py:1858: UserWarning: using precomputed metric; inverse_transform will be unavailable\n", + " warn(\"using precomputed metric; inverse_transform will be unavailable\")\n", + "/Users/vladimir.shitov/miniconda3/envs/sample_representation/lib/python3.11/site-packages/umap/umap_.py:1945: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n", + " warn(f\"n_jobs value {self.n_jobs} overridden to 1 by setting random_state. Use no seed for parallelism.\")\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + } + }, + { + "output_type": "display_data", + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + } + } + ], + "id": "eb995473" + } + ], + "metadata": { + "kernelspec": { + "display_name": "sample_representation", + "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": "3.11.9" } - ], - "source": [ - "pseudobulk.plot_embedding(metadata_cols=[condition_col])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "sample_representation", - "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": "3.11.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 + "nbformat": 4, + "nbformat_minor": 5 } diff --git a/representation_methods_example.ipynb b/representation_methods_example.ipynb index a13cc1e..d44af25 100644 --- a/representation_methods_example.ipynb +++ b/representation_methods_example.ipynb @@ -1,5075 +1,5001 @@ { - "cells": [ - { - "cell_type": "markdown", - "id": "0576edce", - "metadata": {}, - "source": [ - "# Using sample representation methods" - ] - }, - { - "cell_type": "markdown", - "id": "89139dfa", - "metadata": {}, - "source": [ - "In this tutorial, we will demostrate how to use `patpy` to build sample representation from single-cell transcriptomics data, and how to compare representations from different methods" - ] - }, - { - "cell_type": "markdown", - "id": "982b5ff0", - "metadata": {}, - "source": [ - "## Install the patpy package\n", - "\n", - "This package contains interface to sample representation methods as well as some handy analysis functions." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fe2b1e5c", - "metadata": {}, - "outputs": [], - "source": [ - "!pip install git+https://github.com/lueckenlab/patpy.git@main" - ] - }, - { - "cell_type": "markdown", - "id": "d663964e", - "metadata": {}, - "source": [ - "## Import packages" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "983ba9ef", - "metadata": {}, - "outputs": [ + "cells": [ { - "data": { - "text/html": [ - "" + "cell_type": "markdown", + "id": "0576edce", + "metadata": {}, + "source": [ + "# Using sample representation methods" ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n const version = '3.9.0'.replace('rc', '-rc.').replace('.dev', '-dev.');\n const reloading = false;\n const Bokeh = root.Bokeh;\n const BK_RE = /^https:\\/\\/cdn\\.bokeh\\.org\\/bokeh\\/(release|dev)\\/bokeh-/;\n const PN_RE = /^https:\\/\\/cdn\\.holoviz\\.org\\/panel\\/[^/]+\\/dist\\/panel/i;\n\n // Set a timeout for this load but only if we are not already initializing\n if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, Bokeh, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n // Don't load bokeh if it is still initializing\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n // There is nothing to load\n run_callbacks();\n return null;\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error(e) {\n const src_el = e.srcElement\n console.error(\"failed to load \" + (src_el.href || src_el.src));\n }\n\n const skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n root._bokeh_is_loading = css_urls.length + 0;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n const existing_stylesheets = []\n const links = document.getElementsByTagName('link')\n for (let i = 0; i < links.length; i++) {\n const link = links[i]\n if (link.href != null) {\n existing_stylesheets.push(link.href)\n }\n }\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const escaped = encodeURI(url)\n if (existing_stylesheets.indexOf(escaped) !== -1) {\n on_load()\n continue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } var existing_scripts = []\n const scripts = document.getElementsByTagName('script')\n for (let i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n existing_scripts.push(script.src)\n }\n }\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const escaped = encodeURI(url)\n const shouldSkip = skip.includes(escaped) || existing_scripts.includes(escaped)\n const isBokehOrPanel = BK_RE.test(escaped) || PN_RE.test(escaped)\n const missingOrBroken = Bokeh == null || Bokeh.Panel == null || (Bokeh.version != version && !Bokeh.versions?.has(version)) || Bokeh.versions?.get(version)?.Panel == null;\n if (shouldSkip && !(isBokehOrPanel && missingOrBroken)) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (let i = 0; i < js_modules.length; i++) {\n const url = js_modules[i];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n const url = js_exports[name];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.holoviz.org/panel/1.8.10/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.9.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.9.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.9.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.9.0.min.js\", \"https://cdn.holoviz.org/panel/1.8.10/dist/panel.min.js\"];\n const js_modules = [];\n const js_exports = {};\n const css_urls = [];\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (let i = 0; i < inline_js.length; i++) {\n try {\n inline_js[i].call(root, root.Bokeh);\n } catch(e) {\n if (!reloading) {\n throw e;\n }\n }\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false;\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n // If the timeout and bokeh was not successfully loaded we reset\n // everything and try loading again\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n root._bokeh_is_loading = 0;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true;\n root._bokeh_onload_callbacks = [];\n const bokeh_loaded = Bokeh != null && ((Bokeh.version === version && Bokeh.Panel) || (Bokeh.versions?.has(version) && Bokeh.versions.get(version)?.Panel));\n if (!reloading && !bokeh_loaded) {\n if (root.Bokeh) {\n root.Bokeh = undefined;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, Bokeh, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n if (Bokeh != undefined && !reloading) {\n const NewBokeh = root.Bokeh;\n if (Bokeh.versions === undefined) {\n Bokeh.versions = new Map();\n }\n if (NewBokeh.version !== Bokeh.version) {\n Bokeh[NewBokeh.version] = NewBokeh;\n Bokeh.versions.set(NewBokeh.version, NewBokeh);\n }\n root.Bokeh = Bokeh;\n }\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));", - "application/vnd.holoviews_load.v0+json": "" - }, - "metadata": {}, - "output_type": "display_data" + "cell_type": "markdown", + "id": "89139dfa", + "metadata": {}, + "source": [ + "In this tutorial, we will demostrate how to use `patpy` to build sample representation from single-cell transcriptomics data, and how to compare representations from different methods" + ] }, { - "data": { - "application/javascript": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n let retries = 0;\n const open = () => {\n if (comm.active) {\n comm.open();\n } else if (retries > 3) {\n console.warn('Comm target never activated')\n } else {\n retries += 1\n setTimeout(open, 500)\n }\n }\n if (comm.active) {\n comm.open();\n } else {\n setTimeout(open, 500)\n }\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n })\n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n", - "application/vnd.holoviews_load.v0+json": "" - }, - "metadata": {}, - "output_type": "display_data" + "cell_type": "markdown", + "id": "982b5ff0", + "metadata": {}, + "source": [ + "## Install the patpy package\n", + "\n", + "This package contains interface to sample representation methods as well as some handy analysis functions." + ] }, { - "data": { - "application/vnd.holoviews_exec.v0+json": "", - "text/html": [ - "
\n", - "
\n", - "
\n", - "" + "cell_type": "code", + "execution_count": null, + "id": "fe2b1e5c", + "metadata": {}, + "outputs": [], + "source": [ + "!pip install git+https://github.com/lueckenlab/patpy.git@main" ] - }, - "metadata": { - "application/vnd.holoviews_exec.v0+json": { - "id": "1a311a3a-e3ca-4b45-99bf-e1d2a2977384" - } - }, - "output_type": "display_data" }, { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "
\n", - "\n", - " \n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "ⓘ\n", - "
\n", - "\n" + "cell_type": "markdown", + "id": "d663964e", + "metadata": {}, + "source": [ + "## Import packages" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import ehrdata as ed\n", - "import ehrapy as ep\n", - "import pandas as pd\n", - "import scanpy as sc\n", - "import patpy\n", - "import seaborn as sns\n", - "from plottable import ColumnDefinition, Table\n", - "from plottable.cmap import normed_cmap\n", - "from plottable.plots import bar\n", - "import matplotlib\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib.colors import LinearSegmentedColormap" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "d99d93b4", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "'0.15.2'" + "cell_type": "code", + "execution_count": 94, + "id": "983ba9ef", + "metadata": {}, + "outputs": [], + "source": [ + "import ehrdata as ed\n", + "import ehrapy as ep\n", + "import pandas as pd\n", + "import scanpy as sc\n", + "import patpy\n", + "import seaborn as sns\n", + "from plottable import ColumnDefinition, Table\n", + "from plottable.cmap import normed_cmap\n", + "from plottable.plots import bar\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.colors import LinearSegmentedColormap" ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "patpy.__version__" - ] - }, - { - "cell_type": "markdown", - "id": "36a105cc", - "metadata": {}, - "source": [ - "## Read the data\n", - "\n", - "Here, we use [COMBAT dataset](https://www.kaggle.com/datasets/shitovvladimir/a-blood-atlas-of-covid-19-combat-preprocessed). {cite}`ahern2022blood` This dataset contains 783k cells from 140 COVID-19 patients and healthy donors." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "a05229a9", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "AnnData object with n_obs × n_vars = 783677 × 3000\n", - " obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID', 'ifn_1_score', '_scvi_batch', '_scvi_labels', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'pct_counts_in_top_50_genes', 'pct_counts_in_top_100_genes', 'pct_counts_in_top_200_genes', 'pct_counts_in_top_500_genes', 'total_counts_mt', 'log1p_total_counts_mt', 'pct_counts_mt', 'total_counts_ribo', 'log1p_total_counts_ribo', 'pct_counts_ribo', 'vertex', 'eigenvector_centrality'\n", - " var: 'gene_ids', 'feature_types', 'highly_variable', 'highly_variable_rank', 'means', 'variances', 'variances_norm', 'highly_variable_nbatches', 'mt', 'ribo', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts', 'log1p_total_counts'\n", - " uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'X_gloscope_cuml_distances', 'X_gloscope_pynndescent_distances', 'X_scpoli', '_scvi_manager_uuid', '_scvi_uuid', 'genome_annotation_version', 'gloscope_representation', 'gloscope_scpoli_distances', 'hvg', 'log1p', 'neighbors', 'pca', 'scpoli_distances', 'scpoli_parameters', 'scpoli_samples'\n", - " obsm: 'X_pca', 'X_scANVI_batch', 'X_scANVI_sample', 'X_scVI_batch', 'X_scVI_sample', 'X_scpoli', 'X_umap', 'X_umap_source'\n", - " varm: 'PCs'\n", - " layers: 'X_raw_counts'\n", - " obsp: 'connectivities', 'distances'" + "cell_type": "code", + "execution_count": 96, + "id": "d99d93b4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'0.15.2'" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "patpy.__version__" ] - }, - "metadata": {}, - "output_type": "display_data" }, { - "data": { - "text/plain": [ - "DatasetInfo(n_donors=140, n_cells=783677, n_features=3000, sample_key='scRNASeq_sample_ID', cell_type_key='Annotation_major_subset', sample_metadata_columns=['Source', 'Outcome', 'Death28', 'Institute', 'Pool_ID'])" + "cell_type": "markdown", + "id": "36a105cc", + "metadata": {}, + "source": [ + "## Read the data\n", + "\n", + "Here, we use a preprocessed version of the COMBAT dataset. {cite}`ahern2022blood` This dataset contains 783k cells from 140 COVID-19 patients and healthy donors.\n", + "\n", + "`patpy` provides a ready-to-use version of this data in `AnnData` format." ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "adata, combat_info = patpy.datasets.combat_preprocessed(return_dataset_info=True)\n", - "display(adata)\n", - "display(combat_info)" - ] - }, - { - "cell_type": "markdown", - "id": "892bab5c", - "metadata": {}, - "source": [ - "## Set columns containing sample IDs, cell types and metadata" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "dd6105aa", - "metadata": {}, - "outputs": [], - "source": [ - "sample_id_col = \"scRNASeq_sample_ID\"\n", - "cell_type_key = \"cell_type\"\n", - "samples_metadata_cols = [\"Source\", \"Outcome\", \"Death28\", \"Institute\", \"Pool_ID\"]" - ] - }, - { - "cell_type": "markdown", - "id": "92201a46", - "metadata": {}, - "source": [ - "Currently, there is no such columns as \"cell_type\" in the data. But cell types are stored in the `Annotation_major_subset` column. Let's rename it to `cell_type` for better readability." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "126a838a", - "metadata": {}, - "outputs": [], - "source": [ - "adata.obs.rename(columns={\"Annotation_major_subset\": cell_type_key}, inplace=True)" - ] - }, - { - "cell_type": "markdown", - "id": "9a70c7c4", - "metadata": {}, - "source": [ - "## Store metadata and calculate QC metrics" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "dbf86880", - "metadata": {}, - "outputs": [ + }, { - "data": { - "application/vnd.microsoft.datawrangler.viewer.v0+json": { - "columns": [ + "cell_type": "code", + "execution_count": 97, + "id": "a05229a9", + "metadata": {}, + "outputs": [ { - "name": "scRNASeq_sample_ID", - "rawType": "category", - "type": "unknown" + "data": { + "text/plain": [ + "AnnData object with n_obs × n_vars = 783677 × 3000\n", + " obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID', 'ifn_1_score', '_scvi_batch', '_scvi_labels', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'pct_counts_in_top_50_genes', 'pct_counts_in_top_100_genes', 'pct_counts_in_top_200_genes', 'pct_counts_in_top_500_genes', 'total_counts_mt', 'log1p_total_counts_mt', 'pct_counts_mt', 'total_counts_ribo', 'log1p_total_counts_ribo', 'pct_counts_ribo', 'vertex', 'eigenvector_centrality'\n", + " var: 'gene_ids', 'feature_types', 'highly_variable', 'highly_variable_rank', 'means', 'variances', 'variances_norm', 'highly_variable_nbatches', 'mt', 'ribo', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts', 'log1p_total_counts'\n", + " uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'X_gloscope_cuml_distances', 'X_gloscope_pynndescent_distances', 'X_scpoli', '_scvi_manager_uuid', '_scvi_uuid', 'genome_annotation_version', 'gloscope_representation', 'gloscope_scpoli_distances', 'hvg', 'log1p', 'neighbors', 'pca', 'scpoli_distances', 'scpoli_parameters', 'scpoli_samples'\n", + " obsm: 'X_pca', 'X_scANVI_batch', 'X_scANVI_sample', 'X_scVI_batch', 'X_scVI_sample', 'X_scpoli', 'X_umap', 'X_umap_source'\n", + " varm: 'PCs'\n", + " layers: 'X_raw_counts'\n", + " obsp: 'connectivities', 'distances'" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "name": "Source", - "rawType": "category", - "type": "unknown" - }, - { - "name": "Outcome", - "rawType": "float64", - "type": "float" - }, - { - "name": "Death28", - "rawType": "int64", - "type": "integer" - }, - { - "name": "Institute", - "rawType": "category", - "type": "unknown" - }, - { - "name": "Pool_ID", - "rawType": "category", - "type": "unknown" + "data": { + "text/plain": [ + "DatasetInfo(n_donors=140, n_cells=783677, n_features=3000, sample_key='scRNASeq_sample_ID', cell_type_key='Annotation_major_subset', sample_metadata_columns=['Source', 'Outcome', 'Death28', 'Institute', 'Pool_ID'])" + ] + }, + "metadata": {}, + "output_type": "display_data" } - ], - "ref": "5c92f1e9-336e-4cd4-a622-8e2daeba3649", - "rows": [ - [ - "S00109-Ja001E-PBCa", - "COVID_SEV", - "2.0", - "0", - "Oxford", - "gPlexA" - ], - [ - "S00112-Ja003E-PBCa", - "COVID_MILD", - "5.0", - "0", - "Oxford", - "gPlexA" - ], - [ - "S00005-Ja005E-PBCa", - "COVID_CRIT", - "2.0", - "0", - "Oxford", - "gPlexA" - ], - [ - "S00061-Ja003E-PBCa", - "COVID_SEV", - "4.0", - "0", - "Oxford", - "gPlexA" - ], - [ - "S00056-Ja003E-PBCa", - "COVID_SEV", - "3.0", - "0", - "Oxford", - "gPlexA" - ], - [ - "N00027-Ja001E-PBGa", - "Sepsis", - null, - "0", - "Oxford", - "gPlexA" - ], - [ - "H00067-Ha001E-PBGa", - "HV", - "6.0", - "0", - "Oxford", - "gPlexA" - ], - [ - "G05153-Ja005E-PBCa", - "COVID_HCW_MILD", - "6.0", - "0", - "Oxford", - "gPlexA" - ], - [ - "U00515-Ua005E-PBUa", - "COVID_LDN", - "2.0", - "0", - "St_Georges", - "gPlexA" - ], - [ - "U00505-Ua005E-PBUa", - "Flu", - "2.0", - "0", - "St_Georges", - "gPlexA" - ], - [ - "S00028-Ja001E-PBCa", - "COVID_SEV", - "4.0", - "0", - "Oxford", - "gPlexA" - ], - [ - "N00023-Ja001E-PBGa", - "Sepsis", - null, - "0", - "Oxford", - "gPlexA" - ], - [ - "G05064-Ja005E-PBCa", - "COVID_HCW_MILD", - "6.0", - "0", - "Oxford", - "gPlexA" - ], - [ - "S00043-Ja005E-PBCa", - "COVID_CRIT", - "2.0", - "0", - "Oxford", - "gPlexA" - ], - [ - "S00027-Ja003E-PBCa", - "COVID_CRIT", - "2.0", - "0", - "Oxford", - "gPlexB" - ], - [ - "G05097-Ja005E-PBCa", - "COVID_HCW_MILD", - "6.0", - "0", - "Oxford", - "gPlexB" - ], - [ - "S00033-Ja001E-PBCa", - "COVID_SEV", - "2.0", - "0", - "Oxford", - "gPlexB" - ], - [ - "N00018-Ja003E-PBGa", - "Sepsis", - null, - "0", - "Oxford", - "gPlexB" - ], - [ - "S00040-Ja005E-PBCa", - "COVID_CRIT", - "1.0", - "1", - "Oxford", - "gPlexB" - ], - [ - "H00054-Ha001E-PBGa", - "HV", - "6.0", - "0", - "Oxford", - "gPlexB" - ], - [ - "S00034-Ja005E-PBCa", - "COVID_SEV", - "3.0", - "0", - "Oxford", - "gPlexB" - ], - [ - "G05164-Ja005E-PBCa", - "COVID_HCW_MILD", - "6.0", - "0", - "Oxford", - "gPlexB" - ], - [ - "S00078-Ja003E-PBCa", - "COVID_SEV", - "4.0", - "0", - "Oxford", - "gPlexB" - ], - [ - "S00104-Ja003E-PBCa", - "COVID_MILD", - "5.0", - "0", - "Oxford", - "gPlexB" - ], - [ - "S00119-Ja003E-PBCa", - "COVID_SEV", - "2.0", - "0", - "Oxford", - "gPlexB" - ], - [ - "U00519-Ua005E-PBUa", - "COVID_LDN", - "1.0", - "1", - "St_Georges", - "gPlexB" - ], - [ - "N00024-Ja001E-PBGa", - "Sepsis", - null, - "0", - "Oxford", - "gPlexB" - ], - [ - "U00613-Ua005E-PBUa", - "Flu", - "2.0", - "0", - "St_Georges", - "gPlexB" - ], - [ - "S00016-Ja001E-PBCa", - "COVID_MILD", - "5.0", - "0", - "Oxford", - "gPlexC" - ], - [ - "G05061-Ja005E-PBCa", - "COVID_HCW_MILD", - "6.0", - "0", - "Oxford", - "gPlexC" - ], - [ - "S00039-Ja001E-PBCa", - "COVID_SEV", - "1.0", - "1", - "Oxford", - "gPlexC" - ], - [ - "N00032-Ja001E-PBGa", - "Sepsis", - null, - "0", - "Oxford", - "gPlexC" - ], - [ - "S00052-Ja005E-PBCa", - "COVID_CRIT", - "2.0", - "0", - "Oxford", - "gPlexC" - ], - [ - "N00028-Ja001E-PBGa", - "Sepsis", - null, - "0", - "Oxford", - "gPlexC" - ], - [ - "S00129-Ja005E-PBCa", - "COVID_MILD", - "4.0", - "0", - "Oxford", - "gPlexC" - ], - [ - "H00085-Ha001E-PBGa", - "HV", - "6.0", - "0", - "Oxford", - "gPlexC" - ], - [ - "S00042-Ja003E-PBCa", - "COVID_SEV", - "3.0", - "0", - "Oxford", - "gPlexC" - ], - [ - "S00058-Ja003E-PBCa", - "COVID_MILD", - "5.0", - "0", - "Oxford", - "gPlexC" - ], - [ - "S00020-Ja003E-PBCa", - "COVID_CRIT", - "2.0", - "0", - "Oxford", - "gPlexC" - ], - [ - "U00607-Ua005E-PBUa", - "Flu", - "2.0", - "0", - "St_Georges", - "gPlexC" - ], - [ - "S00056-Ja005E-PBCa", - "COVID_SEV", - "3.0", - "0", - "Oxford", - "gPlexC" - ], - [ - "N00033-Ja001E-PBGa", - "Sepsis", - null, - "0", - "Oxford", - "gPlexD" - ], - [ - "S00006-Ja005E-PBCa", - "COVID_MILD", - "5.0", - "0", - "Oxford", - "gPlexD" - ], - [ - "G05078-Ja005E-PBCa", - "COVID_HCW_MILD", - "6.0", - "0", - "Oxford", - "gPlexD" - ], - [ - "S00109-Ja003E-PBCa", - "COVID_SEV", - "2.0", - "0", - "Oxford", - "gPlexD" - ], - [ - "H00049-Ha001E-PBGa", - "HV", - "6.0", - "0", - "Oxford", - "gPlexD" - ], - [ - "N00029-Ja005E-PBGa", - "Sepsis", - null, - "0", - "Oxford", - "gPlexD" - ], - [ - "S00041-Ja001E-PBCa", - "COVID_SEV", - "4.0", - "0", - "Oxford", - "gPlexD" - ], - [ - "S00045-Ja003E-PBCa", - "COVID_SEV", - "1.0", - "1", - "Oxford", - "gPlexD" - ], - [ - "S00005-Ja003E-PBCa", - "COVID_SEV", - "2.0", - "0", - "Oxford", - "gPlexD" - ] - ], - "shape": { - "columns": 5, - "rows": 138 - } - }, - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
SourceOutcomeDeath28InstitutePool_ID
scRNASeq_sample_ID
S00109-Ja001E-PBCaCOVID_SEV2.00OxfordgPlexA
S00112-Ja003E-PBCaCOVID_MILD5.00OxfordgPlexA
S00005-Ja005E-PBCaCOVID_CRIT2.00OxfordgPlexA
S00061-Ja003E-PBCaCOVID_SEV4.00OxfordgPlexA
S00056-Ja003E-PBCaCOVID_SEV3.00OxfordgPlexA
..................
S00065-Ja003E-PBCaCOVID_CRIT2.00OxfordgPlexK
S00048-Ja003E-PBCaCOVID_SEV4.00OxfordgPlexK
G05112-Ja005E-PBCaCOVID_HCW_MILD6.00OxfordgPlexK
N00038-Ja001E-PBGaSepsisNaN0OxfordgPlexK
U00501-Ua005E-PBUaFlu2.00St_GeorgesgPlexK
\n", - "

138 rows × 5 columns

\n", - "
" ], - "text/plain": [ - " Source Outcome Death28 Institute Pool_ID\n", - "scRNASeq_sample_ID \n", - "S00109-Ja001E-PBCa COVID_SEV 2.0 0 Oxford gPlexA\n", - "S00112-Ja003E-PBCa COVID_MILD 5.0 0 Oxford gPlexA\n", - "S00005-Ja005E-PBCa COVID_CRIT 2.0 0 Oxford gPlexA\n", - "S00061-Ja003E-PBCa COVID_SEV 4.0 0 Oxford gPlexA\n", - "S00056-Ja003E-PBCa COVID_SEV 3.0 0 Oxford gPlexA\n", - "... ... ... ... ... ...\n", - "S00065-Ja003E-PBCa COVID_CRIT 2.0 0 Oxford gPlexK\n", - "S00048-Ja003E-PBCa COVID_SEV 4.0 0 Oxford gPlexK\n", - "G05112-Ja005E-PBCa COVID_HCW_MILD 6.0 0 Oxford gPlexK\n", - "N00038-Ja001E-PBGa Sepsis NaN 0 Oxford gPlexK\n", - "U00501-Ua005E-PBUa Flu 2.0 0 St_Georges gPlexK\n", - "\n", - "[138 rows x 5 columns]" + "source": [ + "adata, combat_info = patpy.datasets.combat_preprocessed(return_dataset_info=True)\n", + "display(adata)\n", + "display(combat_info)" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "metadata = adata.obs[samples_metadata_cols + [sample_id_col]].drop_duplicates()\n", - "metadata.set_index(sample_id_col, inplace=True)\n", - "metadata" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "dec16692", - "metadata": {}, - "outputs": [ + }, { - "data": { - "application/vnd.microsoft.datawrangler.viewer.v0+json": { - "columns": [ - { - "name": "scRNASeq_sample_ID", - "rawType": "category", - "type": "unknown" - }, - { - "name": "median_QC_ngenes", - "rawType": "float64", - "type": "float" - }, - { - "name": "median_QC_pct_mitochondrial", - "rawType": "float64", - "type": "float" - }, + "cell_type": "markdown", + "id": "892bab5c", + "metadata": {}, + "source": [ + "## Set columns containing sample IDs, cell types and metadata" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "dd6105aa", + "metadata": {}, + "outputs": [], + "source": [ + "sample_id_col = \"scRNASeq_sample_ID\"\n", + "cell_type_key = \"cell_type\"\n", + "samples_metadata_cols = [\"Source\", \"Outcome\", \"Death28\", \"Institute\", \"Pool_ID\"]" + ] + }, + { + "cell_type": "markdown", + "id": "92201a46", + "metadata": {}, + "source": [ + "Currently, there is no such columns as \"cell_type\" in the data. But cell types are stored in the `Annotation_major_subset` column. Let's rename it to `cell_type` for better readability." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "126a838a", + "metadata": {}, + "outputs": [], + "source": [ + "adata.obs.rename(columns={\"Annotation_major_subset\": cell_type_key}, inplace=True)" + ] + }, + { + "cell_type": "markdown", + "id": "9a70c7c4", + "metadata": {}, + "source": [ + "## Store metadata and calculate QC metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "dbf86880", + "metadata": {}, + "outputs": [ { - "name": "median_QC_scrub_doublet_scores", - "rawType": "float64", - "type": "float" + "data": { + "application/vnd.microsoft.datawrangler.viewer.v0+json": { + "columns": [ + { + "name": "scRNASeq_sample_ID", + "rawType": "category", + "type": "unknown" + }, + { + "name": "Source", + "rawType": "category", + "type": "unknown" + }, + { + "name": "Outcome", + "rawType": "float64", + "type": "float" + }, + { + "name": "Death28", + "rawType": "int64", + "type": "integer" + }, + { + "name": "Institute", + "rawType": "category", + "type": "unknown" + }, + { + "name": "Pool_ID", + "rawType": "category", + "type": "unknown" + } + ], + "ref": "5c92f1e9-336e-4cd4-a622-8e2daeba3649", + "rows": [ + [ + "S00109-Ja001E-PBCa", + "COVID_SEV", + "2.0", + "0", + "Oxford", + "gPlexA" + ], + [ + "S00112-Ja003E-PBCa", + "COVID_MILD", + "5.0", + "0", + "Oxford", + "gPlexA" + ], + [ + "S00005-Ja005E-PBCa", + "COVID_CRIT", + "2.0", + "0", + "Oxford", + "gPlexA" + ], + [ + "S00061-Ja003E-PBCa", + "COVID_SEV", + "4.0", + "0", + "Oxford", + "gPlexA" + ], + [ + "S00056-Ja003E-PBCa", + "COVID_SEV", + "3.0", + "0", + "Oxford", + "gPlexA" + ], + [ + "N00027-Ja001E-PBGa", + "Sepsis", + null, + "0", + "Oxford", + "gPlexA" + ], + [ + "H00067-Ha001E-PBGa", + "HV", + "6.0", + "0", + "Oxford", + "gPlexA" + ], + [ + "G05153-Ja005E-PBCa", + "COVID_HCW_MILD", + "6.0", + "0", + "Oxford", + "gPlexA" + ], + [ + "U00515-Ua005E-PBUa", + "COVID_LDN", + "2.0", + "0", + "St_Georges", + "gPlexA" + ], + [ + "U00505-Ua005E-PBUa", + "Flu", + "2.0", + "0", + "St_Georges", + "gPlexA" + ], + [ + "S00028-Ja001E-PBCa", + "COVID_SEV", + "4.0", + "0", + "Oxford", + "gPlexA" + ], + [ + "N00023-Ja001E-PBGa", + "Sepsis", + null, + "0", + "Oxford", + "gPlexA" + ], + [ + "G05064-Ja005E-PBCa", + "COVID_HCW_MILD", + "6.0", + "0", + "Oxford", + "gPlexA" + ], + [ + "S00043-Ja005E-PBCa", + "COVID_CRIT", + "2.0", + "0", + "Oxford", + "gPlexA" + ], + [ + "S00027-Ja003E-PBCa", + "COVID_CRIT", + "2.0", + "0", + "Oxford", + "gPlexB" + ], + [ + "G05097-Ja005E-PBCa", + "COVID_HCW_MILD", + "6.0", + "0", + "Oxford", + "gPlexB" + ], + [ + "S00033-Ja001E-PBCa", + "COVID_SEV", + "2.0", + "0", + "Oxford", + "gPlexB" + ], + [ + "N00018-Ja003E-PBGa", + "Sepsis", + null, + "0", + "Oxford", + "gPlexB" + ], + [ + "S00040-Ja005E-PBCa", + "COVID_CRIT", + "1.0", + "1", + "Oxford", + "gPlexB" + ], + [ + "H00054-Ha001E-PBGa", + "HV", + "6.0", + "0", + "Oxford", + "gPlexB" + ], + [ + "S00034-Ja005E-PBCa", + "COVID_SEV", + "3.0", + "0", + "Oxford", + "gPlexB" + ], + [ + "G05164-Ja005E-PBCa", + "COVID_HCW_MILD", + "6.0", + "0", + "Oxford", + "gPlexB" + ], + [ + "S00078-Ja003E-PBCa", + "COVID_SEV", + "4.0", + "0", + "Oxford", + "gPlexB" + ], + [ + "S00104-Ja003E-PBCa", + "COVID_MILD", + "5.0", + "0", + "Oxford", + "gPlexB" + ], + [ + "S00119-Ja003E-PBCa", + "COVID_SEV", + "2.0", + "0", + "Oxford", + "gPlexB" + ], + [ + "U00519-Ua005E-PBUa", + "COVID_LDN", + "1.0", + "1", + "St_Georges", + "gPlexB" + ], + [ + "N00024-Ja001E-PBGa", + "Sepsis", + null, + "0", + "Oxford", + "gPlexB" + ], + [ + "U00613-Ua005E-PBUa", + "Flu", + "2.0", + "0", + "St_Georges", + "gPlexB" + ], + [ + "S00016-Ja001E-PBCa", + "COVID_MILD", + "5.0", + "0", + "Oxford", + "gPlexC" + ], + [ + "G05061-Ja005E-PBCa", + "COVID_HCW_MILD", + "6.0", + "0", + "Oxford", + "gPlexC" + ], + [ + "S00039-Ja001E-PBCa", + "COVID_SEV", + "1.0", + "1", + "Oxford", + "gPlexC" + ], + [ + "N00032-Ja001E-PBGa", + "Sepsis", + null, + "0", + "Oxford", + "gPlexC" + ], + [ + "S00052-Ja005E-PBCa", + "COVID_CRIT", + "2.0", + "0", + "Oxford", + "gPlexC" + ], + [ + "N00028-Ja001E-PBGa", + "Sepsis", + null, + "0", + "Oxford", + "gPlexC" + ], + [ + "S00129-Ja005E-PBCa", + "COVID_MILD", + "4.0", + "0", + "Oxford", + "gPlexC" + ], + [ + "H00085-Ha001E-PBGa", + "HV", + "6.0", + "0", + "Oxford", + "gPlexC" + ], + [ + "S00042-Ja003E-PBCa", + "COVID_SEV", + "3.0", + "0", + "Oxford", + "gPlexC" + ], + [ + "S00058-Ja003E-PBCa", + "COVID_MILD", + "5.0", + "0", + "Oxford", + "gPlexC" + ], + [ + "S00020-Ja003E-PBCa", + "COVID_CRIT", + "2.0", + "0", + "Oxford", + "gPlexC" + ], + [ + "U00607-Ua005E-PBUa", + "Flu", + "2.0", + "0", + "St_Georges", + "gPlexC" + ], + [ + "S00056-Ja005E-PBCa", + "COVID_SEV", + "3.0", + "0", + "Oxford", + "gPlexC" + ], + [ + "N00033-Ja001E-PBGa", + "Sepsis", + null, + "0", + "Oxford", + "gPlexD" + ], + [ + "S00006-Ja005E-PBCa", + "COVID_MILD", + "5.0", + "0", + "Oxford", + "gPlexD" + ], + [ + "G05078-Ja005E-PBCa", + "COVID_HCW_MILD", + "6.0", + "0", + "Oxford", + "gPlexD" + ], + [ + "S00109-Ja003E-PBCa", + "COVID_SEV", + "2.0", + "0", + "Oxford", + "gPlexD" + ], + [ + "H00049-Ha001E-PBGa", + "HV", + "6.0", + "0", + "Oxford", + "gPlexD" + ], + [ + "N00029-Ja005E-PBGa", + "Sepsis", + null, + "0", + "Oxford", + "gPlexD" + ], + [ + "S00041-Ja001E-PBCa", + "COVID_SEV", + "4.0", + "0", + "Oxford", + "gPlexD" + ], + [ + "S00045-Ja003E-PBCa", + "COVID_SEV", + "1.0", + "1", + "Oxford", + "gPlexD" + ], + [ + "S00005-Ja003E-PBCa", + "COVID_SEV", + "2.0", + "0", + "Oxford", + "gPlexD" + ] + ], + "shape": { + "columns": 5, + "rows": 138 + } + }, + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SourceOutcomeDeath28InstitutePool_ID
scRNASeq_sample_ID
S00109-Ja001E-PBCaCOVID_SEV2.00OxfordgPlexA
S00112-Ja003E-PBCaCOVID_MILD5.00OxfordgPlexA
S00005-Ja005E-PBCaCOVID_CRIT2.00OxfordgPlexA
S00061-Ja003E-PBCaCOVID_SEV4.00OxfordgPlexA
S00056-Ja003E-PBCaCOVID_SEV3.00OxfordgPlexA
..................
S00065-Ja003E-PBCaCOVID_CRIT2.00OxfordgPlexK
S00048-Ja003E-PBCaCOVID_SEV4.00OxfordgPlexK
G05112-Ja005E-PBCaCOVID_HCW_MILD6.00OxfordgPlexK
N00038-Ja001E-PBGaSepsisNaN0OxfordgPlexK
U00501-Ua005E-PBUaFlu2.00St_GeorgesgPlexK
\n", + "

138 rows × 5 columns

\n", + "
" + ], + "text/plain": [ + " Source Outcome Death28 Institute Pool_ID\n", + "scRNASeq_sample_ID \n", + "S00109-Ja001E-PBCa COVID_SEV 2.0 0 Oxford gPlexA\n", + "S00112-Ja003E-PBCa COVID_MILD 5.0 0 Oxford gPlexA\n", + "S00005-Ja005E-PBCa COVID_CRIT 2.0 0 Oxford gPlexA\n", + "S00061-Ja003E-PBCa COVID_SEV 4.0 0 Oxford gPlexA\n", + "S00056-Ja003E-PBCa COVID_SEV 3.0 0 Oxford gPlexA\n", + "... ... ... ... ... ...\n", + "S00065-Ja003E-PBCa COVID_CRIT 2.0 0 Oxford gPlexK\n", + "S00048-Ja003E-PBCa COVID_SEV 4.0 0 Oxford gPlexK\n", + "G05112-Ja005E-PBCa COVID_HCW_MILD 6.0 0 Oxford gPlexK\n", + "N00038-Ja001E-PBGa Sepsis NaN 0 Oxford gPlexK\n", + "U00501-Ua005E-PBUa Flu 2.0 0 St_Georges gPlexK\n", + "\n", + "[138 rows x 5 columns]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" } - ], - "ref": "e96be0c9-c507-4ae2-9e9e-857508f468db", - "rows": [ - [ - "G05061-Ja005E-PBCa", - "1107.0", - "3.0111593496488895", - "0.0506481760627073" - ], - [ - "G05064-Ja005E-PBCa", - "975.0", - "1.33242999096658", - "0.0608943862987631" - ], - [ - "G05073-Ja005E-PBCa", - "1141.0", - "2.422558871576935", - "0.0445304937076476" - ], - [ - "G05077-Ja005E-PBCa", - "1125.0", - "2.9467232437529502", - "0.0484897959183674" - ], - [ - "G05078-Ja005E-PBCa", - "999.0", - "2.82530839633904", - "0.0527831094049904" - ], - [ - "G05097-Ja005E-PBCa", - "988.0", - "2.4241444829680097", - "0.0581766408201342" - ], - [ - "G05105-Ja005E-PBCa", - "1093.0", - "2.68528158287476", - "0.0508300530549375" - ], - [ - "G05112-Ja005E-PBCa", - "1168.5", - "1.3157442312224699", - "0.0420382165605096" - ], - [ - "G05145-Ja005E-PBCa", - "1225.0", - "2.92150057938012", - "0.0549371633752244" - ], - [ - "G05153-Ja005E-PBCa", - "1011.0", - "1.5397082658022698", - "0.06497673672388901" - ], - [ - "G05164-Ja005E-PBCa", - "1065.0", - "2.07900207900208", - "0.0637450199203187" - ], - [ - "G05171-Ja005E-PBCa", - "1127.0", - "1.83933307205486", - "0.0565841841148988" - ], - [ - "H00049-Ha001E-PBGa", - "1103.0", - "3.44827586206897", - "0.0595374774479252" - ], - [ - "H00052-Ha001E-PBGa", - "1327.0", - "4.155156039798545", - "0.0497182631753397" - ], - [ - "H00053-Ha001E-PBGa", - "1337.5", - "2.74615204853696", - "0.0420382165605096" - ], - [ - "H00054-Ha001E-PBGa", - "1104.0", - "2.45269796776454", - "0.0569054710769713" - ], - [ - "H00058-Ha001E-PBGa", - "1269.0", - "2.71152397690183", - "0.0594961586564231" - ], - [ - "H00064-Ha001E-PBGa", - "1152.0", - "2.9151250506608797", - "0.0472972972972973" - ], - [ - "H00067-Ha001E-PBGa", - "1039.0", - "2.0283975659229196", - "0.0526025127709513" - ], - [ - "H00070-Ha001E-PBGa", - "1233.0", - "3.30082520630158", - "0.0470896010464356" - ], - [ - "H00072-Ha001E-PBGa", - "1244.0", - "3.255642324992665", - "0.0472972972972973" - ], - [ - "H00085-Ha001E-PBGa", - "1172.0", - "3.890673564376125", - "0.0568561872909699" - ], - [ - "N00006-Ja003E-PBGa", - "1288.0", - "3.53123787349631", - "0.0524193548387097" - ], - [ - "N00007-Ja003E-PBGa", - "1367.0", - "3.5541535226077796", - "0.0459159014016433" - ], - [ - "N00012-Ja003E-PBGa", - "1320.5", - "3.57186091217672", - "0.0404083368779243" - ], - [ - "N00013-Ja005E-PBGa", - "1225.0", - "3.64873222016079", - "0.0436688057598998" - ], - [ - "N00017-Ja003E-PBGa", - "1790.5", - "1.892969232235635", - "0.0486746987951807" - ], - [ - "N00018-Ja003E-PBGa", - "1212.0", - "2.64900662251656", - "0.0449197860962567" - ], - [ - "N00021-Ja001E-PBGa", - "1159.0", - "3.38312829525483", - "0.0503574759092322" - ], - [ - "N00023-Ja001E-PBGa", - "1091.0", - "2.127781280198235", - "0.0395627895924914" - ], - [ - "N00023-Ja003E-PBGa", - "1314.0", - "3.5568410574666602", - "0.0405283698589012" - ], - [ - "N00024-Ja001E-PBGa", - "1218.0", - "2.114904650377865", - "0.0568053083023143" - ], - [ - "N00025-Ja001E-PBGa", - "1214.0", - "3.92749244712991", - "0.0370474319393769" - ], - [ - "N00027-Ja001E-PBGa", - "985.0", - "2.3150478107700003", - "0.0483548687891301" - ], - [ - "N00028-Ja001E-PBGa", - "1362.0", - "3.099249186360845", - "0.052896725440806" - ], - [ - "N00028-Ja005E-PBGa", - "1163.0", - "2.8169014084507", - "0.0524193548387097" - ], - [ - "N00029-Ja005E-PBGa", - "994.0", - "4.407977595121305", - "0.0553542009884679" - ], - [ - "N00032-Ja001E-PBGa", - "1385.0", - "3.2218345988097696", - "0.048582995951417" - ], - [ - "N00033-Ja001E-PBGa", - "1103.0", - "3.3876637903483497", - "0.0531135531135531" - ], - [ - "N00037-Ja003E-PBGa", - "1369.0", - "2.72804782014327", - "0.0439204808136847" - ], - [ - "N00038-Ja001E-PBGa", - "1462.0", - "2.52036941992561", - "0.06535993323854135" - ], - [ - "N00039-Ja001E-PBGa", - "1474.0", - "1.2197928653624899", - "0.0538500251635632" - ], - [ - "N00040-Ja001E-PBGa", - "1824.0", - "2.37696335078534", - "0.0370474319393769" - ], - [ - "N00044-Ja001E-PBGa", - "1378.0", - "3.1620772443510248", - "0.0522898154477102" - ], - [ - "N00047-Ja005E-PBGa", - "1373.0", - "3.25738266609952", - "0.0579446064139942" - ], - [ - "N00049-Ja005E-PBGa", - "1561.0", - "3.5437804685546497", - "0.0579446064139942" - ], - [ - "N00050-Ja001E-PBGa", - "1566.5", - "2.3634887573188097", - "0.0535241123476417" - ], - [ - "S00002-Ja001E-PBCa", - "1331.5", - "2.2212641095494803", - "0.0610833653476758" - ], - [ - "S00003-Ja003E-PBCa", - "1219.0", - "1.8449264522563003", - "0.0642374154770849" - ], - [ - "S00005-Ja003E-PBCa", - "1202.0", - "2.3115577889447203", - "0.059513541486976" - ] - ], - "shape": { - "columns": 3, - "rows": 138 - } - }, - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
median_QC_ngenesmedian_QC_pct_mitochondrialmedian_QC_scrub_doublet_scores
scRNASeq_sample_ID
G05061-Ja005E-PBCa1107.03.0111590.050648
G05064-Ja005E-PBCa975.01.3324300.060894
G05073-Ja005E-PBCa1141.02.4225590.044530
G05077-Ja005E-PBCa1125.02.9467230.048490
G05078-Ja005E-PBCa999.02.8253080.052783
............
U00607-Ua005E-PBUa1827.02.9825090.043323
U00613-Ua005E-PBUa1251.52.0530830.036956
U00617-Ua005E-PBUa1410.53.8862150.057906
U00619-Ua005E-PBUa1532.02.6883500.041823
U00701-Ua005E-PBUa1093.53.7146500.063941
\n", - "

138 rows × 3 columns

\n", - "
" ], - "text/plain": [ - " median_QC_ngenes median_QC_pct_mitochondrial \\\n", - "scRNASeq_sample_ID \n", - "G05061-Ja005E-PBCa 1107.0 3.011159 \n", - "G05064-Ja005E-PBCa 975.0 1.332430 \n", - "G05073-Ja005E-PBCa 1141.0 2.422559 \n", - "G05077-Ja005E-PBCa 1125.0 2.946723 \n", - "G05078-Ja005E-PBCa 999.0 2.825308 \n", - "... ... ... \n", - "U00607-Ua005E-PBUa 1827.0 2.982509 \n", - "U00613-Ua005E-PBUa 1251.5 2.053083 \n", - "U00617-Ua005E-PBUa 1410.5 3.886215 \n", - "U00619-Ua005E-PBUa 1532.0 2.688350 \n", - "U00701-Ua005E-PBUa 1093.5 3.714650 \n", - "\n", - " median_QC_scrub_doublet_scores \n", - "scRNASeq_sample_ID \n", - "G05061-Ja005E-PBCa 0.050648 \n", - "G05064-Ja005E-PBCa 0.060894 \n", - "G05073-Ja005E-PBCa 0.044530 \n", - "G05077-Ja005E-PBCa 0.048490 \n", - "G05078-Ja005E-PBCa 0.052783 \n", - "... ... \n", - "U00607-Ua005E-PBUa 0.043323 \n", - "U00613-Ua005E-PBUa 0.036956 \n", - "U00617-Ua005E-PBUa 0.057906 \n", - "U00619-Ua005E-PBUa 0.041823 \n", - "U00701-Ua005E-PBUa 0.063941 \n", - "\n", - "[138 rows x 3 columns]" + "source": [ + "metadata = adata.obs[samples_metadata_cols + [sample_id_col]].drop_duplicates()\n", + "metadata.set_index(sample_id_col, inplace=True)\n", + "metadata" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cell_qc_metadata = patpy.pp.calculate_cell_qc_metrics(\n", - " adata, sample_key=sample_id_col, cell_qc_vars=[\"QC_ngenes\", \"QC_pct_mitochondrial\", \"QC_scrub_doublet_scores\"]\n", - ")\n", - "cell_qc_metadata" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "3b7ea057", - "metadata": {}, - "outputs": [ + }, { - "data": { - "application/vnd.microsoft.datawrangler.viewer.v0+json": { - "columns": [ + "cell_type": "code", + "execution_count": 8, + "id": "dec16692", + "metadata": {}, + "outputs": [ { - "name": "scRNASeq_sample_ID", - "rawType": "category", - "type": "unknown" - }, - { - "name": "n_cells", - "rawType": "int64", - "type": "integer" + "data": { + "application/vnd.microsoft.datawrangler.viewer.v0+json": { + "columns": [ + { + "name": "scRNASeq_sample_ID", + "rawType": "category", + "type": "unknown" + }, + { + "name": "median_QC_ngenes", + "rawType": "float64", + "type": "float" + }, + { + "name": "median_QC_pct_mitochondrial", + "rawType": "float64", + "type": "float" + }, + { + "name": "median_QC_scrub_doublet_scores", + "rawType": "float64", + "type": "float" + } + ], + "ref": "e96be0c9-c507-4ae2-9e9e-857508f468db", + "rows": [ + [ + "G05061-Ja005E-PBCa", + "1107.0", + "3.0111593496488895", + "0.0506481760627073" + ], + [ + "G05064-Ja005E-PBCa", + "975.0", + "1.33242999096658", + "0.0608943862987631" + ], + [ + "G05073-Ja005E-PBCa", + "1141.0", + "2.422558871576935", + "0.0445304937076476" + ], + [ + "G05077-Ja005E-PBCa", + "1125.0", + "2.9467232437529502", + "0.0484897959183674" + ], + [ + "G05078-Ja005E-PBCa", + "999.0", + "2.82530839633904", + "0.0527831094049904" + ], + [ + "G05097-Ja005E-PBCa", + "988.0", + "2.4241444829680097", + "0.0581766408201342" + ], + [ + "G05105-Ja005E-PBCa", + "1093.0", + "2.68528158287476", + "0.0508300530549375" + ], + [ + "G05112-Ja005E-PBCa", + "1168.5", + "1.3157442312224699", + "0.0420382165605096" + ], + [ + "G05145-Ja005E-PBCa", + "1225.0", + "2.92150057938012", + "0.0549371633752244" + ], + [ + "G05153-Ja005E-PBCa", + "1011.0", + "1.5397082658022698", + "0.06497673672388901" + ], + [ + "G05164-Ja005E-PBCa", + "1065.0", + "2.07900207900208", + "0.0637450199203187" + ], + [ + "G05171-Ja005E-PBCa", + "1127.0", + "1.83933307205486", + "0.0565841841148988" + ], + [ + "H00049-Ha001E-PBGa", + "1103.0", + "3.44827586206897", + "0.0595374774479252" + ], + [ + "H00052-Ha001E-PBGa", + "1327.0", + "4.155156039798545", + "0.0497182631753397" + ], + [ + "H00053-Ha001E-PBGa", + "1337.5", + "2.74615204853696", + "0.0420382165605096" + ], + [ + "H00054-Ha001E-PBGa", + "1104.0", + "2.45269796776454", + "0.0569054710769713" + ], + [ + "H00058-Ha001E-PBGa", + "1269.0", + "2.71152397690183", + "0.0594961586564231" + ], + [ + "H00064-Ha001E-PBGa", + "1152.0", + "2.9151250506608797", + "0.0472972972972973" + ], + [ + "H00067-Ha001E-PBGa", + "1039.0", + "2.0283975659229196", + "0.0526025127709513" + ], + [ + "H00070-Ha001E-PBGa", + "1233.0", + "3.30082520630158", + "0.0470896010464356" + ], + [ + "H00072-Ha001E-PBGa", + "1244.0", + "3.255642324992665", + "0.0472972972972973" + ], + [ + "H00085-Ha001E-PBGa", + "1172.0", + "3.890673564376125", + "0.0568561872909699" + ], + [ + "N00006-Ja003E-PBGa", + "1288.0", + "3.53123787349631", + "0.0524193548387097" + ], + [ + "N00007-Ja003E-PBGa", + "1367.0", + "3.5541535226077796", + "0.0459159014016433" + ], + [ + "N00012-Ja003E-PBGa", + "1320.5", + "3.57186091217672", + "0.0404083368779243" + ], + [ + "N00013-Ja005E-PBGa", + "1225.0", + "3.64873222016079", + "0.0436688057598998" + ], + [ + "N00017-Ja003E-PBGa", + "1790.5", + "1.892969232235635", + "0.0486746987951807" + ], + [ + "N00018-Ja003E-PBGa", + "1212.0", + "2.64900662251656", + "0.0449197860962567" + ], + [ + "N00021-Ja001E-PBGa", + "1159.0", + "3.38312829525483", + "0.0503574759092322" + ], + [ + "N00023-Ja001E-PBGa", + "1091.0", + "2.127781280198235", + "0.0395627895924914" + ], + [ + "N00023-Ja003E-PBGa", + "1314.0", + "3.5568410574666602", + "0.0405283698589012" + ], + [ + "N00024-Ja001E-PBGa", + "1218.0", + "2.114904650377865", + "0.0568053083023143" + ], + [ + "N00025-Ja001E-PBGa", + "1214.0", + "3.92749244712991", + "0.0370474319393769" + ], + [ + "N00027-Ja001E-PBGa", + "985.0", + "2.3150478107700003", + "0.0483548687891301" + ], + [ + "N00028-Ja001E-PBGa", + "1362.0", + "3.099249186360845", + "0.052896725440806" + ], + [ + "N00028-Ja005E-PBGa", + "1163.0", + "2.8169014084507", + "0.0524193548387097" + ], + [ + "N00029-Ja005E-PBGa", + "994.0", + "4.407977595121305", + "0.0553542009884679" + ], + [ + "N00032-Ja001E-PBGa", + "1385.0", + "3.2218345988097696", + "0.048582995951417" + ], + [ + "N00033-Ja001E-PBGa", + "1103.0", + "3.3876637903483497", + "0.0531135531135531" + ], + [ + "N00037-Ja003E-PBGa", + "1369.0", + "2.72804782014327", + "0.0439204808136847" + ], + [ + "N00038-Ja001E-PBGa", + "1462.0", + "2.52036941992561", + "0.06535993323854135" + ], + [ + "N00039-Ja001E-PBGa", + "1474.0", + "1.2197928653624899", + "0.0538500251635632" + ], + [ + "N00040-Ja001E-PBGa", + "1824.0", + "2.37696335078534", + "0.0370474319393769" + ], + [ + "N00044-Ja001E-PBGa", + "1378.0", + "3.1620772443510248", + "0.0522898154477102" + ], + [ + "N00047-Ja005E-PBGa", + "1373.0", + "3.25738266609952", + "0.0579446064139942" + ], + [ + "N00049-Ja005E-PBGa", + "1561.0", + "3.5437804685546497", + "0.0579446064139942" + ], + [ + "N00050-Ja001E-PBGa", + "1566.5", + "2.3634887573188097", + "0.0535241123476417" + ], + [ + "S00002-Ja001E-PBCa", + "1331.5", + "2.2212641095494803", + "0.0610833653476758" + ], + [ + "S00003-Ja003E-PBCa", + "1219.0", + "1.8449264522563003", + "0.0642374154770849" + ], + [ + "S00005-Ja003E-PBCa", + "1202.0", + "2.3115577889447203", + "0.059513541486976" + ] + ], + "shape": { + "columns": 3, + "rows": 138 + } + }, + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
median_QC_ngenesmedian_QC_pct_mitochondrialmedian_QC_scrub_doublet_scores
scRNASeq_sample_ID
G05061-Ja005E-PBCa1107.03.0111590.050648
G05064-Ja005E-PBCa975.01.3324300.060894
G05073-Ja005E-PBCa1141.02.4225590.044530
G05077-Ja005E-PBCa1125.02.9467230.048490
G05078-Ja005E-PBCa999.02.8253080.052783
............
U00607-Ua005E-PBUa1827.02.9825090.043323
U00613-Ua005E-PBUa1251.52.0530830.036956
U00617-Ua005E-PBUa1410.53.8862150.057906
U00619-Ua005E-PBUa1532.02.6883500.041823
U00701-Ua005E-PBUa1093.53.7146500.063941
\n", + "

138 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " median_QC_ngenes median_QC_pct_mitochondrial \\\n", + "scRNASeq_sample_ID \n", + "G05061-Ja005E-PBCa 1107.0 3.011159 \n", + "G05064-Ja005E-PBCa 975.0 1.332430 \n", + "G05073-Ja005E-PBCa 1141.0 2.422559 \n", + "G05077-Ja005E-PBCa 1125.0 2.946723 \n", + "G05078-Ja005E-PBCa 999.0 2.825308 \n", + "... ... ... \n", + "U00607-Ua005E-PBUa 1827.0 2.982509 \n", + "U00613-Ua005E-PBUa 1251.5 2.053083 \n", + "U00617-Ua005E-PBUa 1410.5 3.886215 \n", + "U00619-Ua005E-PBUa 1532.0 2.688350 \n", + "U00701-Ua005E-PBUa 1093.5 3.714650 \n", + "\n", + " median_QC_scrub_doublet_scores \n", + "scRNASeq_sample_ID \n", + "G05061-Ja005E-PBCa 0.050648 \n", + "G05064-Ja005E-PBCa 0.060894 \n", + "G05073-Ja005E-PBCa 0.044530 \n", + "G05077-Ja005E-PBCa 0.048490 \n", + "G05078-Ja005E-PBCa 0.052783 \n", + "... ... \n", + "U00607-Ua005E-PBUa 0.043323 \n", + "U00613-Ua005E-PBUa 0.036956 \n", + "U00617-Ua005E-PBUa 0.057906 \n", + "U00619-Ua005E-PBUa 0.041823 \n", + "U00701-Ua005E-PBUa 0.063941 \n", + "\n", + "[138 rows x 3 columns]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" } - ], - "ref": "4c8c0bf9-1350-4dcf-a000-bae729bc7bd5", - "rows": [ - [ - "S00052-Ja005E-PBCa", - "13918" - ], - [ - "H00054-Ha001E-PBGa", - "10938" - ], - [ - "H00067-Ha001E-PBGa", - "10781" - ], - [ - "N00023-Ja001E-PBGa", - "10484" - ], - [ - "H00053-Ha001E-PBGa", - "10458" - ], - [ - "S00028-Ja001E-PBCa", - "10443" - ], - [ - "N00032-Ja001E-PBGa", - "10395" - ], - [ - "U00515-Ua005E-PBUa", - "10079" - ], - [ - "N00024-Ja001E-PBGa", - "9828" - ], - [ - "N00033-Ja001E-PBGa", - "9507" - ], - [ - "G05078-Ja005E-PBCa", - "9441" - ], - [ - "H00072-Ha001E-PBGa", - "9074" - ], - [ - "S00005-Ja005E-PBCa", - "9002" - ], - [ - "G05064-Ja005E-PBCa", - "8957" - ], - [ - "H00049-Ha001E-PBGa", - "8701" - ], - [ - "S00042-Ja003E-PBCa", - "8486" - ], - [ - "H00058-Ha001E-PBGa", - "8411" - ], - [ - "G05073-Ja005E-PBCa", - "8336" - ], - [ - "S00034-Ja005E-PBCa", - "8289" - ], - [ - "G05153-Ja005E-PBCa", - "8123" - ], - [ - "S00104-Ja003E-PBCa", - "8109" - ], - [ - "G05097-Ja005E-PBCa", - "8090" - ], - [ - "H00070-Ha001E-PBGa", - "8035" - ], - [ - "N00018-Ja003E-PBGa", - "7969" - ], - [ - "N00028-Ja001E-PBGa", - "7760" - ], - [ - "N00013-Ja005E-PBGa", - "7699" - ], - [ - "S00078-Ja003E-PBCa", - "7679" - ], - [ - "S00114-Ja003E-PBCa", - "7649" - ], - [ - "S00056-Ja003E-PBCa", - "7600" - ], - [ - "H00052-Ha001E-PBGa", - "7540" - ], - [ - "H00064-Ha001E-PBGa", - "7522" - ], - [ - "S00039-Ja001E-PBCa", - "7515" - ], - [ - "S00109-Ja003E-PBCa", - "7457" - ], - [ - "S00112-Ja003E-PBCa", - "7384" - ], - [ - "N00023-Ja003E-PBGa", - "7380" - ], - [ - "S00064-Ja005E-PBCa", - "7362" - ], - [ - "S00037-Ja003E-PBCa", - "7359" - ], - [ - "N00038-Ja001E-PBGa", - "7270" - ], - [ - "N00029-Ja005E-PBGa", - "7072" - ], - [ - "S00006-Ja005E-PBCa", - "7036" - ], - [ - "G05171-Ja005E-PBCa", - "6974" - ], - [ - "S00082-Ja001E-PBCa", - "6945" - ], - [ - "N00021-Ja001E-PBGa", - "6937" - ], - [ - "S00050-Ja001E-PBCa", - "6914" - ], - [ - "S00058-Ja003E-PBCa", - "6824" - ], - [ - "S00106-Ja003E-PBCa", - "6708" - ], - [ - "G05164-Ja005E-PBCa", - "6649" - ], - [ - "S00033-Ja001E-PBCa", - "6621" - ], - [ - "S00005-Ja003E-PBCa", - "6534" - ], - [ - "S00126-Ja003E-PBCa", - "6477" - ] - ], - "shape": { - "columns": 1, - "rows": 138 - } - }, - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
n_cells
scRNASeq_sample_ID
S00052-Ja005E-PBCa13918
H00054-Ha001E-PBGa10938
H00067-Ha001E-PBGa10781
N00023-Ja001E-PBGa10484
H00053-Ha001E-PBGa10458
......
U00607-Ua005E-PBUa1021
U00613-Ua005E-PBUa970
U00701-Ua005E-PBUa872
U00601-Ua005E-PBUa619
U00504-Ua005E-PBUa161
\n", - "

138 rows × 1 columns

\n", - "
" ], - "text/plain": [ - " n_cells\n", - "scRNASeq_sample_ID \n", - "S00052-Ja005E-PBCa 13918\n", - "H00054-Ha001E-PBGa 10938\n", - "H00067-Ha001E-PBGa 10781\n", - "N00023-Ja001E-PBGa 10484\n", - "H00053-Ha001E-PBGa 10458\n", - "... ...\n", - "U00607-Ua005E-PBUa 1021\n", - "U00613-Ua005E-PBUa 970\n", - "U00701-Ua005E-PBUa 872\n", - "U00601-Ua005E-PBUa 619\n", - "U00504-Ua005E-PBUa 161\n", - "\n", - "[138 rows x 1 columns]" + "source": [ + "cell_qc_metadata = patpy.pp.calculate_cell_qc_metrics(\n", + " adata, sample_key=sample_id_col, cell_qc_vars=[\"QC_ngenes\", \"QC_pct_mitochondrial\", \"QC_scrub_doublet_scores\"]\n", + ")\n", + "cell_qc_metadata" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "n_genes_metadata = patpy.pp.calculate_n_cells_per_sample(adata, sample_id_col)\n", - "n_genes_metadata" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "1bb39bb4", - "metadata": {}, - "outputs": [ + }, { - "data": { - "application/vnd.microsoft.datawrangler.viewer.v0+json": { - "columns": [ - { - "name": "scRNASeq_sample_ID", - "rawType": "category", - "type": "unknown" - }, + "cell_type": "code", + "execution_count": 9, + "id": "3b7ea057", + "metadata": {}, + "outputs": [ { - "name": "cell_type_B", - "rawType": "float64", - "type": "float" - }, + "data": { + "application/vnd.microsoft.datawrangler.viewer.v0+json": { + "columns": [ + { + "name": "scRNASeq_sample_ID", + "rawType": "category", + "type": "unknown" + }, + { + "name": "n_cells", + "rawType": "int64", + "type": "integer" + } + ], + "ref": "4c8c0bf9-1350-4dcf-a000-bae729bc7bd5", + "rows": [ + [ + "S00052-Ja005E-PBCa", + "13918" + ], + [ + "H00054-Ha001E-PBGa", + "10938" + ], + [ + "H00067-Ha001E-PBGa", + "10781" + ], + [ + "N00023-Ja001E-PBGa", + "10484" + ], + [ + "H00053-Ha001E-PBGa", + "10458" + ], + [ + "S00028-Ja001E-PBCa", + "10443" + ], + [ + "N00032-Ja001E-PBGa", + "10395" + ], + [ + "U00515-Ua005E-PBUa", + "10079" + ], + [ + "N00024-Ja001E-PBGa", + "9828" + ], + [ + "N00033-Ja001E-PBGa", + "9507" + ], + [ + "G05078-Ja005E-PBCa", + "9441" + ], + [ + "H00072-Ha001E-PBGa", + "9074" + ], + [ + "S00005-Ja005E-PBCa", + "9002" + ], + [ + "G05064-Ja005E-PBCa", + "8957" + ], + [ + "H00049-Ha001E-PBGa", + "8701" + ], + [ + "S00042-Ja003E-PBCa", + "8486" + ], + [ + "H00058-Ha001E-PBGa", + "8411" + ], + [ + "G05073-Ja005E-PBCa", + "8336" + ], + [ + "S00034-Ja005E-PBCa", + "8289" + ], + [ + "G05153-Ja005E-PBCa", + "8123" + ], + [ + "S00104-Ja003E-PBCa", + "8109" + ], + [ + "G05097-Ja005E-PBCa", + "8090" + ], + [ + "H00070-Ha001E-PBGa", + "8035" + ], + [ + "N00018-Ja003E-PBGa", + "7969" + ], + [ + "N00028-Ja001E-PBGa", + "7760" + ], + [ + "N00013-Ja005E-PBGa", + "7699" + ], + [ + "S00078-Ja003E-PBCa", + "7679" + ], + [ + "S00114-Ja003E-PBCa", + "7649" + ], + [ + "S00056-Ja003E-PBCa", + "7600" + ], + [ + "H00052-Ha001E-PBGa", + "7540" + ], + [ + "H00064-Ha001E-PBGa", + "7522" + ], + [ + "S00039-Ja001E-PBCa", + "7515" + ], + [ + "S00109-Ja003E-PBCa", + "7457" + ], + [ + "S00112-Ja003E-PBCa", + "7384" + ], + [ + "N00023-Ja003E-PBGa", + "7380" + ], + [ + "S00064-Ja005E-PBCa", + "7362" + ], + [ + "S00037-Ja003E-PBCa", + "7359" + ], + [ + "N00038-Ja001E-PBGa", + "7270" + ], + [ + "N00029-Ja005E-PBGa", + "7072" + ], + [ + "S00006-Ja005E-PBCa", + "7036" + ], + [ + "G05171-Ja005E-PBCa", + "6974" + ], + [ + "S00082-Ja001E-PBCa", + "6945" + ], + [ + "N00021-Ja001E-PBGa", + "6937" + ], + [ + "S00050-Ja001E-PBCa", + "6914" + ], + [ + "S00058-Ja003E-PBCa", + "6824" + ], + [ + "S00106-Ja003E-PBCa", + "6708" + ], + [ + "G05164-Ja005E-PBCa", + "6649" + ], + [ + "S00033-Ja001E-PBCa", + "6621" + ], + [ + "S00005-Ja003E-PBCa", + "6534" + ], + [ + "S00126-Ja003E-PBCa", + "6477" + ] + ], + "shape": { + "columns": 1, + "rows": 138 + } + }, + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
n_cells
scRNASeq_sample_ID
S00052-Ja005E-PBCa13918
H00054-Ha001E-PBGa10938
H00067-Ha001E-PBGa10781
N00023-Ja001E-PBGa10484
H00053-Ha001E-PBGa10458
......
U00607-Ua005E-PBUa1021
U00613-Ua005E-PBUa970
U00701-Ua005E-PBUa872
U00601-Ua005E-PBUa619
U00504-Ua005E-PBUa161
\n", + "

138 rows × 1 columns

\n", + "
" + ], + "text/plain": [ + " n_cells\n", + "scRNASeq_sample_ID \n", + "S00052-Ja005E-PBCa 13918\n", + "H00054-Ha001E-PBGa 10938\n", + "H00067-Ha001E-PBGa 10781\n", + "N00023-Ja001E-PBGa 10484\n", + "H00053-Ha001E-PBGa 10458\n", + "... ...\n", + "U00607-Ua005E-PBUa 1021\n", + "U00613-Ua005E-PBUa 970\n", + "U00701-Ua005E-PBUa 872\n", + "U00601-Ua005E-PBUa 619\n", + "U00504-Ua005E-PBUa 161\n", + "\n", + "[138 rows x 1 columns]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "n_genes_metadata = patpy.pp.calculate_n_cells_per_sample(adata, sample_id_col)\n", + "n_genes_metadata" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "1bb39bb4", + "metadata": {}, + "outputs": [ { - "name": "cell_type_CD4", - "rawType": "float64", - "type": "float" - }, + "data": { + "application/vnd.microsoft.datawrangler.viewer.v0+json": { + "columns": [ + { + "name": "scRNASeq_sample_ID", + "rawType": "category", + "type": "unknown" + }, + { + "name": "cell_type_B", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_CD4", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_CD8", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_DC", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_DN", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_DP", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_GDT", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_HSC", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_MAIT", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_Mast", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_NK", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_PB", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_PLT", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_RET", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_cMono", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_iNKT", + "rawType": "float64", + "type": "float" + }, + { + "name": "cell_type_ncMono", + "rawType": "float64", + "type": "float" + } + ], + "ref": "db7e90a5-aaf3-4b5a-b4b0-e22f43f7004e", + "rows": [ + [ + "G05061-Ja005E-PBCa", + "6.324900133155792", + "33.92143808255659", + "12.366844207723036", + "1.5978695073235687", + "0.5326231691078562", + "0.4993342210386152", + "0.8988015978695073", + "0.06657789613848203", + "4.677097203728362", + "0.0", + "18.159121171770973", + "0.3162450066577896", + "0.16644474034620504", + "0.016644474034620507", + "15.81225033288948", + "0.033288948069241014", + "4.610519307589881" + ], + [ + "G05064-Ja005E-PBCa", + "3.4051579770012284", + "47.1474824159875", + "16.400580551523948", + "1.8198057385285251", + "1.2280897621971643", + "0.7256894049346879", + "2.1882326671876746", + "0.02232890476722117", + "1.317405381266049", + "0.0", + "7.45785419225187", + "0.44657809534442333", + "0.0", + "0.0", + "14.357485765323212", + "0.0", + "3.483309143686502" + ], + [ + "G05073-Ja005E-PBCa", + "5.1943378119001915", + "45.60940499040307", + "16.27879078694818", + "1.4875239923224568", + "1.2476007677543186", + "0.8397312859884838", + "4.654510556621881", + "0.01199616122840691", + "2.1952975047984644", + "0.01199616122840691", + "3.7308061420345493", + "0.20393474088291744", + "0.04798464491362764", + "0.0", + "13.963531669865642", + "0.08397312859884837", + "4.438579654510557" + ], + [ + "G05077-Ja005E-PBCa", + "5.8462111338670635", + "29.23105566933532", + "14.596909327871904", + "1.3777695028858685", + "0.44684416309811953", + "1.3405324892943584", + "0.46546266989387447", + "0.1675665611617948", + "0.8005957922174641", + "0.01861850679575498", + "22.84490783839136", + "1.0798733941537888", + "0.07447402718301992", + "0.01861850679575498", + "18.004096071495066", + "0.05585552038726494", + "3.6306088251722213" + ], + [ + "G05078-Ja005E-PBCa", + "1.3663806800127105", + "39.000105920982946", + "15.591568689757441", + "2.3408537231225504", + "0.7626310772163966", + "0.73085478233238", + "2.6480245736680437", + "0.2118419658934435", + "1.7371041203262365", + "0.021184196589344347", + "10.66624298273488", + "0.14828937612541043", + "0.021184196589344347", + "0.0", + "19.52123715708082", + "0.4978286198495922", + "4.734667937718462" + ], + [ + "G05097-Ja005E-PBCa", + "8.26946847960445", + "23.003708281829418", + "29.011124845488258", + "2.38566131025958", + "0.6427688504326329", + "1.1001236093943139", + "2.187886279357231", + "0.0988875154511743", + "2.496909765142151", + "0.024721878862793575", + "7.021013597033375", + "0.3708281829419036", + "0.0", + "0.012360939431396788", + "20.0123609394314", + "0.23485784919653896", + "3.1273176761433867" + ], + [ + "G05105-Ja005E-PBCa", + "4.932141674942072", + "41.14531612048991", + "14.233697451175106", + "2.896391923204237", + "0.7613373055279709", + "0.7778881165177094", + "1.9695465077788812", + "0.165508109897385", + "0.9930486593843099", + "0.0165508109897385", + "5.743131413439259", + "0.36411784177424694", + "0.0", + "0.0", + "23.50215160542867", + "0.0", + "2.499172459450513" + ], + [ + "G05112-Ja005E-PBCa", + "11.191335740072201", + "27.594765342960287", + "18.343862815884478", + "1.9404332129963902", + "1.0153429602888087", + "0.3835740072202166", + "2.6173285198555956", + "0.0", + "0.13537906137184114", + "0.0", + "3.2490974729241873", + "0.473826714801444", + "0.0", + "0.0", + "27.09837545126354", + "0.0", + "5.956678700361011" + ], + [ + "G05145-Ja005E-PBCa", + "6.9575471698113205", + "44.828167115902964", + "11.556603773584905", + "3.0997304582210243", + "0.4211590296495957", + "2.1394878706199463", + "0.2695417789757413", + "0.10107816711590296", + "0.5390835579514826", + "0.0", + "7.126010781671159", + "0.4716981132075472", + "0.03369272237196766", + "0.0", + "20.03032345013477", + "0.01684636118598383", + "2.4090296495956873" + ], + [ + "G05153-Ja005E-PBCa", + "3.570109565431491", + "29.607287947802536", + "33.103533177397516", + "1.0341007017111905", + "1.0833435922688661", + "1.0833435922688661", + "2.622183922196233", + "0.09848578111535149", + "0.8617505847593253", + "0.0", + "4.8258032746522215", + "0.36932167918256803", + "0.0", + "0.0", + "18.37990890065247", + "0.02462144527883787", + "3.3362058352825312" + ], + [ + "G05164-Ja005E-PBCa", + "2.722213866746879", + "48.74417205594826", + "10.994134456309219", + "1.067829748834411", + "0.5865543690780568", + "0.9023913370431643", + "1.3535870055647465", + "0.1052789893217025", + "0.7068732140171454", + "0.015039855617386072", + "13.189953376447585", + "0.27071740111294934", + "0.0", + "0.0", + "13.580989622499622", + "0.0", + "5.7602647014588655" + ], + [ + "G05171-Ja005E-PBCa", + "5.735589331803843", + "54.97562374533983", + "8.74677373100086", + "1.3335245196443934", + "0.5018640665328362", + "0.4588471465443074", + "0.6882707198164612", + "0.14338973329509608", + "1.1757958130197876", + "0.0", + "11.442500716948667", + "0.3584743332377402", + "0.0", + "0.0", + "12.718669343275021", + "0.07169486664754804", + "1.6489819328936048" + ], + [ + "H00049-Ha001E-PBGa", + "4.091483737501437", + "30.23790368923112", + "21.48028962188254", + "1.3331800942420413", + "1.5860245948741525", + "0.9883921388346166", + "1.4481094127111827", + "0.19537984139754053", + "1.8388690955062637", + "0.0", + "15.940696471669924", + "0.1494081140098839", + "0.0", + "0.0", + "14.51557292265257", + "0.04597172738765659", + "6.148718538099069" + ], + [ + "H00052-Ha001E-PBGa", + "2.1750663129973478", + "28.236074270557026", + "11.618037135278515", + "2.1883289124668437", + "0.1989389920424403", + "0.5968169761273209", + "1.1140583554376657", + "0.1989389920424403", + "6.16710875331565", + "0.0", + "24.78779840848806", + "0.23872679045092837", + "0.0", + "0.0", + "18.156498673740053", + "0.2917771883289125", + "4.031830238726791" + ], + [ + "H00053-Ha001E-PBGa", + "2.7634346911455347", + "49.14897685982023", + "8.385924650984892", + "1.3386880856760375", + "0.4685408299866131", + "0.535475234270415", + "0.1434308663224326", + "0.19124115509657677", + "0.49722700325109964", + "0.009562057754828839", + "19.047619047619047", + "0.17211703958691912", + "0.028686173264486515", + "0.0", + "15.069803021610252", + "0.019124115509657678", + "2.1801491681009755" + ], + [ + "H00054-Ha001E-PBGa", + "4.772353263850795", + "32.30023770341927", + "15.852989577619308", + "2.596452733589322", + "0.34741268970561345", + "1.151947339550192", + "1.609069299689157", + "0.0731395136222344", + "0.8868166026695922", + "0.0", + "16.438105686597186", + "0.16456390565002743", + "0.054854635216675815", + "0.0", + "18.696288169683672", + "0.0182848784055586", + "5.0374840007313955" + ], + [ + "H00058-Ha001E-PBGa", + "5.421471882059208", + "45.99928664843657", + "15.075496373796218", + "1.9498276067055047", + "0.23778385447628106", + "0.5350136725716323", + "0.22589466175246703", + "0.059445963619070265", + "1.1651408869337772", + "0.0", + "10.367376055165854", + "0.34478658899060755", + "0.023778385447628107", + "0.0", + "12.69765782903341", + "0.07133515634288431", + "5.825704434668886" + ], + [ + "H00064-Ha001E-PBGa", + "2.964637064610476", + "41.19914916245679", + "12.15102366391917", + "2.672161659133209", + "0.15953203935123636", + "1.7282637596383938", + "0.9571922361074183", + "0.06647168306301515", + "0.9571922361074183", + "0.0", + "10.475937250731189", + "0.35894708854028184", + "0.03988300983780909", + "0.013294336612603033", + "21.0582291943632", + "0.026588673225206066", + "5.171496942302579" + ], + [ + "H00067-Ha001E-PBGa", + "4.628513124942027", + "29.737501159447177", + "28.605880716074576", + "3.6174751878304425", + "1.3078564140617752", + "1.0945181337538261", + "2.513681476671923", + "0.07420461923754754", + "1.5582970039884982", + "0.0", + "5.509692978387905", + "0.2597161673314164", + "0.018551154809386884", + "0.0", + "16.473425470735553", + "0.6029125313050737", + "3.9977738614228735" + ], + [ + "H00070-Ha001E-PBGa", + "2.1904169259489734", + "30.217797137523334", + "22.87492221530803", + "3.671437461107654", + "0.3484754200373366", + "0.9583074051026758", + "0.8462974486621033", + "0.09956440572495331", + "1.120099564405725", + "0.012445550715619164", + "9.831985065339142", + "0.14934660858743", + "0.0", + "0.0", + "23.01182327317984", + "0.11200995644057249", + "4.555071561916614" + ], + [ + "H00072-Ha001E-PBGa", + "3.4163544192197484", + "34.00925721842628", + "16.07890676658585", + "2.3363456028212477", + "0.969803835133348", + "0.903680846374256", + "2.7661450297553447", + "0.07714348688560722", + "0.34163544192197487", + "0.0", + "12.497244875468372", + "0.26449195503636763", + "0.07714348688560722", + "0.01102049812651532", + "20.134450077143487", + "0.2534714569098523", + "5.86290500330615" + ], + [ + "H00085-Ha001E-PBGa", + "5.362116991643454", + "36.629526462395546", + "31.78969359331476", + "1.0967966573816155", + "0.3307799442896936", + "1.0445682451253482", + "0.7137883008356546", + "0.034818941504178275", + "0.36559888579387184", + "0.0", + "10.323816155988858", + "0.17409470752089137", + "0.0", + "0.017409470752089137", + "7.816852367688022", + "0.0", + "4.300139275766017" + ], + [ + "N00006-Ja003E-PBGa", + "1.1890805560207671", + "41.63456707419193", + "20.767040696700718", + "0.9546139675096299", + "0.5526712443476804", + "0.7368949924635739", + "0.3851951096968682", + "0.10048568079048736", + "0.41869033662703065", + "0.016747613465081225", + "6.766035839892816", + "0.3851951096968682", + "0.11723329425556857", + "0.016747613465081225", + "24.20030145704237", + "0.0", + "1.7584994138335288" + ], + [ + "N00007-Ja003E-PBGa", + "9.164066349154213", + "33.93003777303334", + "9.147643291180819", + "0.5748070290688126", + "0.4105764493348662", + "1.6094596813926751", + "2.134997536541304", + "1.1824601740844145", + "1.1003448842174413", + "0.032846115946789295", + "8.76991295779274", + "0.5419609131220233", + "0.11496140581376253", + "0.6897684348825751", + "27.557891279356216", + "0.032846115946789295", + "3.0054196091312204" + ], + [ + "N00012-Ja003E-PBGa", + "1.9650655021834063", + "47.56706175920149", + "7.174048658764816", + "0.43668122270742354", + "0.3431066749844042", + "1.4348097317529631", + "0.18714909544603867", + "0.3119151590767312", + "0.40548970679975044", + "0.0", + "1.9338739862757333", + "1.1852776044915783", + "0.4678727386150967", + "0.09357454772301933", + "27.760449157829072", + "0.0", + "8.73362445414847" + ], + [ + "N00013-Ja005E-PBGa", + "1.1819716846343682", + "9.31289777893233", + "8.455643590076633", + "1.5456552799064815", + "0.07793219898688142", + "0.25977399662293804", + "0.9871411871671646", + "0.16885309780490973", + "0.0129886998311469", + "0.0259773996622938", + "2.3639433692687364", + "0.402649694765554", + "0.0259773996622938", + "0.06494349915573451", + "65.76178724509677", + "0.0", + "9.351863878425771" + ], + [ + "N00017-Ja003E-PBGa", + "4.263206672845228", + "9.036144578313253", + "5.977757182576459", + "2.0389249304911954", + "0.9731232622798889", + "0.6024096385542169", + "0.8804448563484708", + "2.2242817423540315", + "0.09267840593141798", + "0.0", + "4.5875810936051895", + "2.7340129749768303", + "2.2242817423540315", + "0.9267840593141797", + "59.916589434661724", + "0.0", + "3.5217794253938832" + ], + [ + "N00018-Ja003E-PBGa", + "1.0666332036641988", + "19.826828962228635", + "5.132388003513615", + "1.1042790814405823", + "0.05019450370184465", + "0.3262642740619902", + "0.5144936629439076", + "0.7905634333040532", + "0.05019450370184465", + "0.05019450370184465", + "2.7481490776759947", + "0.9035010666332036", + "0.5521395407202911", + "0.012548625925461163", + "55.791190864600324", + "0.0", + "11.080436692182207" + ], + [ + "N00021-Ja001E-PBGa", + "12.080149920715007", + "45.23569266253424", + "14.06948248522416", + "0.8649272019605017", + "0.21623180049012541", + "1.6433616837249532", + "0.34597088078420063", + "0.34597088078420063", + "0.04324636009802508", + "0.0", + "6.818509442121955", + "0.2594781605881505", + "0.0", + "0.04324636009802508", + "13.406371630387776", + "0.0", + "4.6273605304886845" + ], + [ + "N00023-Ja001E-PBGa", + "3.014116749332316", + "36.72262495230828", + "15.909958031285768", + "0.5818389927508585", + "3.9011827546737883", + "0.8584509729111025", + "0.753529187333079", + "0.12399847386493704", + "0.06676840900419688", + "0.009538344143456697", + "4.349484929416254", + "0.04769172071728348", + "0.17169019458222054", + "0.0", + "27.174742464708128", + "0.0", + "6.314383822968332" + ], + [ + "N00023-Ja003E-PBGa", + "1.165311653116531", + "19.132791327913278", + "17.520325203252032", + "0.7994579945799458", + "3.3062330623306235", + "0.7723577235772358", + "1.9647696476964769", + "0.08130081300813008", + "0.23035230352303526", + "0.0", + "11.314363143631438", + "0.13550135501355012", + "0.08130081300813008", + "0.0", + "40.731707317073166", + "0.0", + "2.7642276422764227" + ], + [ + "N00024-Ja001E-PBGa", + "1.0276760276760277", + "52.56410256410257", + "4.1208791208791204", + "0.641025641025641", + "0.11192511192511193", + "0.49857549857549854", + "0.26455026455026454", + "0.40700040700040696", + "0.13227513227513227", + "0.0", + "1.4041514041514043", + "0.0407000407000407", + "0.030525030525030524", + "0.0", + "33.34350834350835", + "0.0", + "5.413105413105413" + ], + [ + "N00025-Ja001E-PBGa", + "1.0703773080010703", + "12.38961734011239", + "5.351886540005352", + "1.097136740701097", + "0.1337971635001338", + "0.2675943270002676", + "0.24083489430024083", + "0.29435375970029437", + "0.02675943270002676", + "0.0", + "31.38881455713139", + "0.10703773080010703", + "0.3211131924003211", + "0.02675943270002676", + "44.07278565694408", + "0.0", + "3.2111319240032112" + ], + [ + "N00027-Ja001E-PBGa", + "7.845068110946989", + "29.968816674872805", + "8.600032824552766", + "1.7068767438043655", + "0.2461841457410143", + "0.26259642212374856", + "0.27900869850648286", + "0.22977186935828", + "0.08206138191367143", + "0.03282455276546857", + "4.36566551780732", + "0.18053504021007713", + "0.18053504021007713", + "0.016412276382734285", + "33.070736911209586", + "0.0", + "12.932873789594618" + ], + [ + "N00028-Ja001E-PBGa", + "9.278350515463918", + "28.028350515463917", + "5.979381443298969", + "0.5412371134020618", + "0.24484536082474226", + "0.4252577319587629", + "0.6314432989690721", + "0.19329896907216496", + "0.4639175257731959", + "0.0", + "5.77319587628866", + "0.36082474226804123", + "0.10309278350515465", + "0.012886597938144331", + "25.644329896907216", + "0.025773195876288662", + "22.29381443298969" + ], + [ + "N00028-Ja005E-PBGa", + "7.396271797955502", + "41.61154539987974", + "10.683503708157946", + "0.9420725596311886", + "0.38083784325516135", + "0.9420725596311886", + "1.503307276007216", + "0.28061735818801364", + "0.14030867909400682", + "0.0", + "8.177991581479255", + "1.3830426939266387", + "0.30066145520144316", + "0.0", + "22.79013830426939", + "0.0", + "3.4676287833233115" + ], + [ + "N00029-Ja005E-PBGa", + "5.472285067873303", + "19.994343891402718", + "8.880090497737557", + "2.1210407239819005", + "0.15554298642533937", + "0.8625565610859729", + "0.4242081447963801", + "0.31108597285067874", + "0.056561085972850686", + "0.0", + "4.991515837104073", + "0.3393665158371041", + "0.056561085972850686", + "0.0", + "52.38970588235294", + "0.014140271493212671", + "3.930995475113122" + ], + [ + "N00032-Ja001E-PBGa", + "10.91871091871092", + "30.649350649350648", + "15.218855218855218", + "0.3270803270803271", + "0.22126022126022124", + "1.568061568061568", + "0.5675805675805676", + "0.02886002886002886", + "0.0481000481000481", + "0.0", + "3.107263107263107", + "0.33670033670033667", + "0.08658008658008658", + "0.009620009620009619", + "30.63011063011063", + "0.0", + "6.281866281866281" + ], + [ + "N00033-Ja001E-PBGa", + "3.481645103607868", + "16.81918586304828", + "12.485536972756917", + "1.5041548332807404", + "0.32607552329862205", + "0.18933417481855475", + "3.6499421478910277", + "0.05259282633848743", + "1.4094877458714632", + "0.010518565267697486", + "3.3974965814662883", + "0.12622278321236985", + "0.021037130535394973", + "0.010518565267697486", + "50.383927632270954", + "0.0", + "6.132323551067635" + ], + [ + "N00037-Ja003E-PBGa", + "0.5199667221297837", + "33.19467554076539", + "15.162229617304494", + "0.7071547420965058", + "0.10399334442595673", + "0.5199667221297837", + "0.14559068219633944", + "0.4159733777038269", + "0.14559068219633944", + "0.06239600665557404", + "6.738768718801996", + "0.7071547420965058", + "0.16638935108153077", + "0.04159733777038269", + "28.993344425956742", + "0.0", + "12.375207986688853" + ], + [ + "N00038-Ja001E-PBGa", + "1.595598349381018", + "49.669876203576344", + "8.088033012379642", + "0.5914718019257221", + "0.3713892709766162", + "0.8253094910591471", + "0.5364511691884457", + "0.15130674002751032", + "1.4305364511691885", + "0.0", + "10.0", + "0.09628610729023383", + "0.9903713892709767", + "0.0", + "20.013755158184317", + "0.0", + "5.639614855570839" + ], + [ + "N00039-Ja001E-PBGa", + "7.911200807265388", + "27.063572149344097", + "14.248234106962665", + "0.544904137235116", + "0.343087790110999", + "0.3229061553985873", + "0.7063572149344097", + "0.6054490413723511", + "0.7265388496468214", + "0.0", + "24.1372351160444", + "7.709384460141272", + "0.0", + "0.0", + "14.692230070635723", + "0.0", + "0.9889001009081735" + ], + [ + "N00040-Ja001E-PBGa", + "0.0", + "6.704188048336368", + "2.0360867406058603", + "2.052640291342493", + "0.01655355073663301", + "0.11587485515643105", + "0.03310710147326602", + "0.34762456546929316", + "0.08276775368316504", + "0.0", + "1.8539976825028968", + "0.03310710147326602", + "0.0", + "0.03310710147326602", + "83.56232411852342", + "0.0", + "3.1286210892236386" + ], + [ + "N00044-Ja001E-PBGa", + "3.392094017094017", + "41.746794871794876", + "7.825854700854701", + "0.3205128205128205", + "0.2670940170940171", + "0.5341880341880342", + "1.1485042735042736", + "2.8044871794871797", + "0.0", + "0.05341880341880342", + "6.063034188034188", + "2.0566239316239314", + "2.911324786324786", + "0.08012820512820512", + "25.934829059829063", + "0.0", + "4.861111111111112" + ], + [ + "N00047-Ja005E-PBGa", + "0.2697400686611084", + "26.900441392839625", + "13.070132417851887", + "0.9073075036782736", + "0.14713094654242276", + "1.5203531142717017", + "1.569396763119176", + "1.569396763119176", + "0.7356547327121138", + "0.024521824423737126", + "3.6292300147130945", + "1.6184404119666502", + "0.196174595389897", + "0.04904364884747425", + "39.16135360470819", + "0.0", + "8.631682197155468" + ], + [ + "N00049-Ja005E-PBGa", + "1.441784548422198", + "29.51577801958651", + "10.636561479869423", + "0.73449401523395", + "2.2850924918389555", + "0.6800870511425462", + "2.720348204570185", + "0.13601741022850924", + "0.1632208922742111", + "0.0", + "19.423286180631123", + "0.2992383025027203", + "0.2720348204570185", + "0.0544069640914037", + "17.709466811751902", + "0.02720348204570185", + "13.900979325353646" + ], + [ + "N00050-Ja001E-PBGa", + "3.493699885452463", + "36.597938144329895", + "5.841924398625429", + "0.3436426116838488", + "0.1718213058419244", + "1.3172966781214204", + "0.572737686139748", + "1.088201603665521", + "0.0", + "0.0", + "6.0710194730813285", + "7.961053837342496", + "0.3436426116838488", + "0.0", + "35.79610538373425", + "0.057273768613974804", + "0.3436426116838488" + ], + [ + "S00002-Ja001E-PBCa", + "6.800518134715026", + "26.068652849740932", + "17.033678756476682", + "1.6515544041450776", + "0.939119170984456", + "0.8419689119170984", + "1.7487046632124352", + "0.2590673575129534", + "0.5505181347150259", + "0.0", + "4.3717616580310885", + "0.38860103626943004", + "0.0", + "0.0", + "30.310880829015545", + "0.0", + "9.03497409326425" + ], + [ + "S00003-Ja003E-PBCa", + "3.495366607055763", + "43.521378637619904", + "24.727686555031703", + "0.8291334742318323", + "0.5690131685904731", + "1.1380263371809463", + "3.1214436676963095", + "0.04877255730775484", + "0.6340432450008129", + "0.0", + "7.234596000650301", + "0.7478458787189075", + "0.08128759551292473", + "0.0", + "11.461550967322387", + "0.03251503820516989", + "2.357340269874817" + ], + [ + "S00005-Ja003E-PBCa", + "3.351698806244261", + "62.64156718702173", + "8.233853688399142", + "0.3520048974594429", + "0.9029690847872666", + "1.1019283746556474", + "0.3673094582185491", + "0.18365472910927455", + "0.6580961126415672", + "0.0", + "6.244260789715335", + "1.8977655341291706", + "0.4132231404958678", + "0.015304560759106214", + "11.570247933884298", + "0.061218243036424855", + "2.0048974594429136" + ] + ], + "shape": { + "columns": 17, + "rows": 138 + } + }, + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
cell_typecell_type_Bcell_type_CD4cell_type_CD8cell_type_DCcell_type_DNcell_type_DPcell_type_GDTcell_type_HSCcell_type_MAITcell_type_Mastcell_type_NKcell_type_PBcell_type_PLTcell_type_RETcell_type_cMonocell_type_iNKTcell_type_ncMono
scRNASeq_sample_ID
G05061-Ja005E-PBCa6.32490033.92143812.3668441.5978700.5326230.4993340.8988020.0665784.6770970.00000018.1591210.3162450.1664450.01664415.8122500.0332894.610519
G05064-Ja005E-PBCa3.40515847.14748216.4005811.8198061.2280900.7256892.1882330.0223291.3174050.0000007.4578540.4465780.0000000.00000014.3574860.0000003.483309
G05073-Ja005E-PBCa5.19433845.60940516.2787911.4875241.2476010.8397314.6545110.0119962.1952980.0119963.7308060.2039350.0479850.00000013.9635320.0839734.438580
G05077-Ja005E-PBCa5.84621129.23105614.5969091.3777700.4468441.3405320.4654630.1675670.8005960.01861922.8449081.0798730.0744740.01861918.0040960.0558563.630609
G05078-Ja005E-PBCa1.36638139.00010615.5915692.3408540.7626310.7308552.6480250.2118421.7371040.02118410.6662430.1482890.0211840.00000019.5212370.4978294.734668
......................................................
U00607-Ua005E-PBUa3.62389810.5778651.2732624.7012730.0979430.1958860.1958860.6856020.0979430.0000005.8765921.1753181.9588640.09794337.9040160.00000031.537708
U00613-Ua005E-PBUa7.83505226.39175316.9072160.7216490.4123710.3092781.6494850.0000000.1030930.0000005.1546391.2371130.2061860.00000037.9381440.0000001.134021
U00617-Ua005E-PBUa2.97723341.41856416.4623470.4378280.5253940.2626970.2626970.9632220.0875660.0000007.53064817.5131350.7880910.0875669.7197900.0000000.963222
U00619-Ua005E-PBUa3.53761835.07723015.8943700.8968610.6975590.2989542.4414551.1459890.0996510.09965117.5884402.8400604.5341310.00000010.3637270.0000004.484305
U00701-Ua005E-PBUa1.03211015.59633039.3348621.2614680.8027520.4587160.5733940.1146790.0000000.00000012.8440370.0000000.3440370.22935824.8853210.0000002.522936
\n", + "

138 rows × 17 columns

\n", + "
" + ], + "text/plain": [ + "cell_type cell_type_B cell_type_CD4 cell_type_CD8 cell_type_DC \\\n", + "scRNASeq_sample_ID \n", + "G05061-Ja005E-PBCa 6.324900 33.921438 12.366844 1.597870 \n", + "G05064-Ja005E-PBCa 3.405158 47.147482 16.400581 1.819806 \n", + "G05073-Ja005E-PBCa 5.194338 45.609405 16.278791 1.487524 \n", + "G05077-Ja005E-PBCa 5.846211 29.231056 14.596909 1.377770 \n", + "G05078-Ja005E-PBCa 1.366381 39.000106 15.591569 2.340854 \n", + "... ... ... ... ... \n", + "U00607-Ua005E-PBUa 3.623898 10.577865 1.273262 4.701273 \n", + "U00613-Ua005E-PBUa 7.835052 26.391753 16.907216 0.721649 \n", + "U00617-Ua005E-PBUa 2.977233 41.418564 16.462347 0.437828 \n", + "U00619-Ua005E-PBUa 3.537618 35.077230 15.894370 0.896861 \n", + "U00701-Ua005E-PBUa 1.032110 15.596330 39.334862 1.261468 \n", + "\n", + "cell_type cell_type_DN cell_type_DP cell_type_GDT cell_type_HSC \\\n", + "scRNASeq_sample_ID \n", + "G05061-Ja005E-PBCa 0.532623 0.499334 0.898802 0.066578 \n", + "G05064-Ja005E-PBCa 1.228090 0.725689 2.188233 0.022329 \n", + "G05073-Ja005E-PBCa 1.247601 0.839731 4.654511 0.011996 \n", + "G05077-Ja005E-PBCa 0.446844 1.340532 0.465463 0.167567 \n", + "G05078-Ja005E-PBCa 0.762631 0.730855 2.648025 0.211842 \n", + "... ... ... ... ... \n", + "U00607-Ua005E-PBUa 0.097943 0.195886 0.195886 0.685602 \n", + "U00613-Ua005E-PBUa 0.412371 0.309278 1.649485 0.000000 \n", + "U00617-Ua005E-PBUa 0.525394 0.262697 0.262697 0.963222 \n", + "U00619-Ua005E-PBUa 0.697559 0.298954 2.441455 1.145989 \n", + "U00701-Ua005E-PBUa 0.802752 0.458716 0.573394 0.114679 \n", + "\n", + "cell_type cell_type_MAIT cell_type_Mast cell_type_NK \\\n", + "scRNASeq_sample_ID \n", + "G05061-Ja005E-PBCa 4.677097 0.000000 18.159121 \n", + "G05064-Ja005E-PBCa 1.317405 0.000000 7.457854 \n", + "G05073-Ja005E-PBCa 2.195298 0.011996 3.730806 \n", + "G05077-Ja005E-PBCa 0.800596 0.018619 22.844908 \n", + "G05078-Ja005E-PBCa 1.737104 0.021184 10.666243 \n", + "... ... ... ... \n", + "U00607-Ua005E-PBUa 0.097943 0.000000 5.876592 \n", + "U00613-Ua005E-PBUa 0.103093 0.000000 5.154639 \n", + "U00617-Ua005E-PBUa 0.087566 0.000000 7.530648 \n", + "U00619-Ua005E-PBUa 0.099651 0.099651 17.588440 \n", + "U00701-Ua005E-PBUa 0.000000 0.000000 12.844037 \n", + "\n", + "cell_type cell_type_PB cell_type_PLT cell_type_RET \\\n", + "scRNASeq_sample_ID \n", + "G05061-Ja005E-PBCa 0.316245 0.166445 0.016644 \n", + "G05064-Ja005E-PBCa 0.446578 0.000000 0.000000 \n", + "G05073-Ja005E-PBCa 0.203935 0.047985 0.000000 \n", + "G05077-Ja005E-PBCa 1.079873 0.074474 0.018619 \n", + "G05078-Ja005E-PBCa 0.148289 0.021184 0.000000 \n", + "... ... ... ... \n", + "U00607-Ua005E-PBUa 1.175318 1.958864 0.097943 \n", + "U00613-Ua005E-PBUa 1.237113 0.206186 0.000000 \n", + "U00617-Ua005E-PBUa 17.513135 0.788091 0.087566 \n", + "U00619-Ua005E-PBUa 2.840060 4.534131 0.000000 \n", + "U00701-Ua005E-PBUa 0.000000 0.344037 0.229358 \n", + "\n", + "cell_type cell_type_cMono cell_type_iNKT cell_type_ncMono \n", + "scRNASeq_sample_ID \n", + "G05061-Ja005E-PBCa 15.812250 0.033289 4.610519 \n", + "G05064-Ja005E-PBCa 14.357486 0.000000 3.483309 \n", + "G05073-Ja005E-PBCa 13.963532 0.083973 4.438580 \n", + "G05077-Ja005E-PBCa 18.004096 0.055856 3.630609 \n", + "G05078-Ja005E-PBCa 19.521237 0.497829 4.734668 \n", + "... ... ... ... \n", + "U00607-Ua005E-PBUa 37.904016 0.000000 31.537708 \n", + "U00613-Ua005E-PBUa 37.938144 0.000000 1.134021 \n", + "U00617-Ua005E-PBUa 9.719790 0.000000 0.963222 \n", + "U00619-Ua005E-PBUa 10.363727 0.000000 4.484305 \n", + "U00701-Ua005E-PBUa 24.885321 0.000000 2.522936 \n", + "\n", + "[138 rows x 17 columns]" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "composition_metadata = patpy.pp.calculate_compositional_metrics(adata, sample_id_col, [cell_type_key], normalize_to=100)\n", + "composition_metadata" + ] + }, + { + "cell_type": "markdown", + "id": "0229e578", + "metadata": {}, + "source": [ + "Merge metadata tables" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "a8c20440", + "metadata": {}, + "outputs": [], + "source": [ + "metadata = pd.concat(\n", + " [\n", + " metadata,\n", + " cell_qc_metadata.loc[metadata.index],\n", + " n_genes_metadata.loc[metadata.index],\n", + " composition_metadata.loc[metadata.index],\n", + " ],\n", + " axis=1,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "af253b8b", + "metadata": {}, + "outputs": [ { - "name": "cell_type_CD8", - "rawType": "float64", - "type": "float" - }, + "data": { + "text/plain": [ + "(138, 26)" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "metadata.shape" + ] + }, + { + "cell_type": "markdown", + "id": "d5fbb868", + "metadata": {}, + "source": [ + "We can briefly inspect the distribution of our metadata:\n", + "\n", + "We can see that 90% of the data comes from the Oxford institute, and 10% from St. Georges.\n", + "We can also get an overview of the labels and their distribution at a glance" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "1b6f3ae5", + "metadata": {}, + "outputs": [], + "source": [ + "edata_metadata = ed.EHRData(obs=metadata.iloc[:, :4])" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "8c3f0e64", + "metadata": {}, + "outputs": [ { - "name": "cell_type_DC", - "rawType": "float64", - "type": "float" - }, + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ct = ep.tl.CohortTracker(edata_metadata)\n", + "ct(edata_metadata, \"Initial Cohort\")\n", + "ct.plot_cohort_barplot(legend_kwargs={\"fontsize\": 8})" + ] + }, + { + "cell_type": "markdown", + "id": "5c423c7d", + "metadata": {}, + "source": [ + "In a sankey diagram, we can further see that St. Georges contributed all the 12 Flu samples, and the two only Covid LDN samples.\n", + "This gives us important information to keep in the back of our mind: when we want to group samples by their disease status, they will also be grouped by the institute covariate.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "d8b9ba1e", + "metadata": {}, + "outputs": [ { - "name": "cell_type_DN", - "rawType": "float64", - "type": "float" + "data": {}, + "metadata": {}, + "output_type": "display_data" }, { - "name": "cell_type_DP", - "rawType": "float64", - "type": "float" - }, + "data": { + "application/vnd.holoviews_exec.v0+json": "", + "text/html": [ + "
\n", + "
\n", + "
\n", + "" + ], + "text/plain": [ + ":Sankey [source,target] (value)" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ep.pl.sankey_diagram(edata_metadata, columns=[\"Institute\", \"Source\", \"Outcome\",])" + ] + }, + { + "cell_type": "markdown", + "id": "bcf522ba", + "metadata": {}, + "source": [ + "# Quality control\n", + "\n", + "To reduce noise in the representations, we need to remove samples with too few cells:" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "8a5ed833", + "metadata": {}, + "outputs": [ { - "name": "cell_type_GDT", - "rawType": "float64", - "type": "float" - }, + "name": "stdout", + "output_type": "stream", + "text": [ + "0 samples removed: \n" + ] + } + ], + "source": [ + "adata = patpy.pp.filter_small_samples(adata, sample_key=sample_id_col, sample_size_threshold=100)" + ] + }, + { + "cell_type": "markdown", + "id": "0f5dd4f7", + "metadata": {}, + "source": [ + "If necessary, we can also remove cell types with too few cells in at least one sample:\n", + "\n", + "`adata = patpy.pp.filter_small_cell_types(adata, sample_key=sample_id_col, cell_group_key=cell_type_key, cell_type_size_threshold=10)`\n", + "\n", + "Some methods require this filtering step prior to building representation. In this notebook, we'll focus on simpler methods that can be used with only sample filtering." + ] + }, + { + "cell_type": "markdown", + "id": "8651ac51", + "metadata": {}, + "source": [ + "## Run a simple pseudobulk representation" + ] + }, + { + "cell_type": "markdown", + "id": "8e1345a9", + "metadata": {}, + "source": [ + "This method aggregates all cells from each sample into a single vector. It can be interpreted as an average cell from each sample. Any input space can be used specified by `layer` parameter. For example, to use count data, use `layer=\"X\"` or `layer=\"raw\"`. We find batch-corrected space to be the best for the representation, so we use `layer=\"X_scVI_batch\"` below." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "5bcbc398", + "metadata": {}, + "outputs": [], + "source": [ + "pseudobulk = patpy.tl.Pseudobulk(sample_key=sample_id_col, cell_group_key=cell_type_key, layer=\"X_scVI_batch\")\n", + "pseudobulk.prepare_anndata(adata)" + ] + }, + { + "cell_type": "markdown", + "id": "bff1aeaa", + "metadata": {}, + "source": [ + "## Calculate a matrix of distances between samples" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "8bd2f018", + "metadata": {}, + "outputs": [ { - "name": "cell_type_HSC", - "rawType": "float64", - "type": "float" - }, + "data": { + "text/plain": [ + "array([[0. , 2.13826083, 3.26751086, ..., 2.26537604, 3.47556017,\n", + " 3.50837059],\n", + " [2.13826083, 0. , 2.57066436, ..., 2.67332482, 3.12726692,\n", + " 2.3833747 ],\n", + " [3.26751086, 2.57066436, 0. , ..., 3.81414183, 3.50147504,\n", + " 2.11261287],\n", + " ...,\n", + " [2.26537604, 2.67332482, 3.81414183, ..., 0. , 3.55756191,\n", + " 4.0558818 ],\n", + " [3.47556017, 3.12726692, 3.50147504, ..., 3.55756191, 0. ,\n", + " 2.70576771],\n", + " [3.50837059, 2.3833747 , 2.11261287, ..., 4.0558818 , 2.70576771,\n", + " 0. ]], shape=(138, 138))" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "distances = pseudobulk.calculate_distance_matrix(force=True)\n", + "distances" + ] + }, + { + "cell_type": "markdown", + "id": "e934a3e8", + "metadata": {}, + "source": [ + "We can also see the pseudobulks for each sample:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "2bdacf12", + "metadata": {}, + "outputs": [ { - "name": "cell_type_MAIT", - "rawType": "float64", - "type": "float" - }, + "data": { + "text/plain": [ + "array([[-0.39708972, -0.1610353 , -0.60592145, ..., 0.04138801,\n", + " -0.23706943, 0.03939089],\n", + " [-0.16564418, 0.15338482, -0.00623349, ..., -0.36909145,\n", + " -0.61890358, -0.26146826],\n", + " [-0.91906726, -0.34432968, -0.03022187, ..., -1.03792512,\n", + " -0.26926878, 0.30427763],\n", + " ...,\n", + " [ 0.07143331, -0.52035475, -0.04083514, ..., -0.01975986,\n", + " -0.2641018 , -0.32993519],\n", + " [-0.86681354, -0.71001476, 0.40946293, ..., 0.38672951,\n", + " 0.59467804, 0.03230282],\n", + " [-0.98729014, -0.46418488, 0.28515279, ..., -0.19687848,\n", + " -0.42034405, 0.18162856]], shape=(138, 30))" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pseudobulk.sample_representation" + ] + }, + { + "cell_type": "markdown", + "id": "141b6414", + "metadata": {}, + "source": [ + "We can then visualise sample representation using dimensionality reduction methods:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "eb995473", + "metadata": {}, + "outputs": [ { - "name": "cell_type_Mast", - "rawType": "float64", - "type": "float" - }, + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pseudobulk.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols);" + ] + }, + { + "cell_type": "markdown", + "id": "4b70c494", + "metadata": {}, + "source": [ + "Other dimensionality reduction methods are also available" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "828ad784", + "metadata": {}, + "outputs": [ { - "name": "cell_type_NK", - "rawType": "float64", - "type": "float" - }, + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAB9cAAAHACAYAAAAY4uihAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjksIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvJkbTWQAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3Qd4FFXXB/D/9l7SK4HQe6/SQaUoCBZEUVGxV+y994q++mEXO6IgFlTEQgcpUqWXEEjv2/vu99wbE7LJLgTYbEnO733mlczd7E4mZXbuueccgc/n84EQQgghhBBCCCGEEEIIIYQQQgghQQmDDxFCCCGEEEIIIYQQQgghhBBCCCGEguuEEEIIIYQQQgghhBBCCCGEEEJII1DmOiGEEEIIIYQQQgghhBBCCCGEEHISFFwnhBBCCCGEEEIIIYQQQgghhBBCToKC64QQQgghhBBCCCGEEEIIIYQQQshJUHCdEEIIIYQQQgghhBBCCCGEEEIIOQkKrhNCCCGEEEIIIYQQQgghhBBCCCEnQcF1QgghhBBCCCGEEEIIIYQQQggh5CTEaEG8Xi8KCgqg0WggEAgifTiEEBL1fD4fTCYT0tPTIRS27PVYdA0hhJBTQ9cQuoYQQsjpomsI3YMQQghdP84MzWMRQkjT3YO0qOA6C6y3atUq0odBCCEx59ixY8jMzERLRtcQQgg5PXQNoWsIIYScrpZ+DaF7EEIIOT0t/frB0DWEEEKa7hrSooLrLGO95sRotdpIHw4hhEQ9o9HIFyXV/P1syegaQgghp4auIXQNIYSQ00XXELoHIYQQun6cGZrHIoSQprsHaVHB9ZpS8CywTsF1Qgg59b+fLRldQwgh5Mz+frZkdA0hhJAz+/vZUtH1gxBCzuzvZ0tG1xBCCGm6a0jLbqBLCCGEEEIIIYQQQgghhBBCCCGENAIF1wkhhBBCCCGEEEIIIYQQQgghhJCToOA6IYQQQgghhBBCCCGEEEIIIYQQchItqud6Y/h8Prjdbng8nkgfCiGNJhKJIBaLqZ8QIYQQQgghhBDSgtA8VsslkUj4fBAhhBBCCAkvCq7X4XQ6UVhYCKvVGuZvAyFnTqlUIi0tDVKplE4nIYQQQgghhBDSzNE8VssmEAiQmZkJtVod6UMhhBBCCGlRYia4zjLJn3zySXzxxRcoKipCeno6rr76ajz66KMhydb1er3IycnhKz7Zc7MAZSiel5BwrFJnN9SlpaX8Z7hDhw4QCqnjAyGEEEIIIYQQ0lzRPFbLxuaC2DxQXl4enweiDHZCCCGEkPCJmeD6Sy+9hHfeeQeffvopunXrhs2bN+Oaa66BTqfDHXfcccbPz4KT7MakVatWPAOYkFiiUCh4ObDc3Fz+syyXyyN9SIQQQgghhBBCCGkiNI9FkpKScOTIEbhcLgquE0IIIYSEUcwE19etW4cLLrgA5513Hv+4TZs2mD9/PjZu3BjS16GMXxKr6GeXEEIIIYQQQghpWWguoOWiipuEEEIIIZERM8H1s846C++//z7279+Pjh07Yvv27VizZg1ef/31oJ/jcDj4VsNoNIbpaAkhhMQ6uoYQQgihawghhBC6ByGEEBILaB6LEELCJ2YaMz/44IOYPn06OnfuzMtf9+nTB7Nnz8aMGTOCfs4LL7zAy8bXbKzkOyGEENIYdA0hhBByuugaQgghhK4fhBBCwonuQQghJHxiJrj+zTff4Msvv8RXX32FLVu28N7rr776Kv9vMA899BAMBkPtduzYsbAeMyGEBOLz+VDhLMXmirVYnPc5NlWsRoWjFF6fl05YFKFrCCEkWrndbp6VYLVa+X/ZxyS60DWEEBKVnBag7CCw7i3gt0eBwysAU2Gkj4rUQdePk/vkk0+g1+vp54aQMDPYnNhXZML//jyAl37diy1HK1FmPl4xlkQeXUMIIdHK6DLjkDkXX+X+gK+PLkGO5RhMLgtiWcyUhb/vvvtqs9eZHj16IDc3l6/ImjlzZsDPkclkfCOnprS0FI8//jh+/vlnFBcXIy4uDr169eL7hg4dSqeTkDNUaD+Gtw48Davn+AVELlTg9g6PI1PZhs5vlKBrCCEkGjmdTuTn58NiOX4NUalUyMjIgFQqjeixkePoGkIIicrA+t4lwOIb2Wrf6n3r3wJSugOXfwPoMiJ9hKSZXD+uvvpqVFVV4fvvvz/j52rTpg2vWsm2GpdeeikmTpxY+/GTTz7JX2vbtm2n9NwrVqzA6NGjUVlZScF6Qk6iyurEvLVH8OafB2r3vbPyEEZ1SsLLF/dEskZO5zAKNIdrCCGk+alyGjEvZyHWlG+u3fdt3i+YkDoS01qdB61EjVgUM5nrLDNHKPQ/XJFIBK+XMj1D7aKLLsLWrVt5VQDW4/7HH3/EqFGjUF5ejqacKCakJTC6qvBxzhy/wDpj99rw4eHXYHBWROzYCCGERDeWoV4/sM6wj9l+ymAnhBASlKnIP7Beo/hfYO0cwE3ZhyQ2KBQKJCcnR/owCGlRcsutfoH1Giv2leKP3SUROSZCCCGxYa/pkF9gvcavRSuRa81HrIqZ4PqkSZPw3HPP8WzqI0eOYPHixXj99dcxderUSB9as8JWF69evRovvfQSX8HbunVrDBw4kJeVmTx5Mn/M0aNHccEFF0CtVkOr1WLatGk8w73uKuUpU6b4PS9bZcwC9DXYv2+77Ta+PzExEePGjeP7d+3ahfPPP58/r0ajwfDhw3Ho0KHaz/vwww/RpUsXyOVydO7cGXPnzg3DWSEkdMxuI0odRQHHKl1lMLmNdLoJIYQE5PF4GgTWa7D9bJwQQggJ6ODvDQPrNbZ+AVhK6cSRkGNzP3fccQfuv/9+xMfHIzU1lWea122Zxj7Oysri2Zbp6en88TWfyypW3nXXXRAIBHyrXxae/fupp57C9u3bax/D9rF5Q/bvutnsbL6L7WMZ62yczXkxrFoj28/mshiWxMOqZGZnZ/NAPqvkuHDhQvrpIC2Wx+PF53/nBh3/cPVhlJpogRYhhJCGWOn3H/L/QDBLCv6EwxObibcxUxb+rbfewmOPPYZbbrkFJSUl/A33jTfeyEuVk9BhAXO2sZJagwcPblBKht1k1ATWV65cyTOkbr31Vl6Wi92gnAqWGX/zzTdj7dq1/GOWcTVixAh+A/XXX3/xADsbq8nC+vLLL/n3++2330afPn14dv3111/PS6EGaw1ASLRxe10nHvedeJwQQkjLdbLgOQXXCSGEBGUpCz7msgFeWqBFmgab+7n77ruxYcMGrF+/ngexWcvBc845B4sWLcKcOXPw9ddfo1u3bigqKuKBcua7777jge0bbriBz/0Ewuai/v33XyxduhR//FE9cavT6fwSQAJp1aoVf21WuXHfvn18/okF0hkWWP/iiy/w7rvvokOHDli1ahWuuOIKJCUlYeTIkSE/P4REO48PKDcHD3wYbC54vEEWbxFCCGnRPD4PLB5r0HGT2wq3zw0ZYq/NYcwE11kW8xtvvME30nTEYjFf5ctuXNiNRN++ffnNA+t137NnT/z555/YuXMncnJy+M0I89lnn/GboE2bNmHAgAGNfi12k/Lyyy/Xfvzwww/zmyB2UyWRSPi+jh071o4/8cQTeO2113DhhRfyj9kq4t27d+O9996j4DqJGSqxBmKBJGAQXSQQQS3WRuS4CCGERD/WEulMxgkhhLRgbUcDq14JPJbWG5Cqwn1EpIVgc0lsPqdmHoglTLC5JRZcZ5URWTb72WefzeeBWAY7q57IsEx39t6GzQeyxwTCAuIs+YPNZQV7TCDsednzM6zEfE0mvMPhwPPPP88D9UOGDOH72rZtizVr1vC5Jwquk5ZIKhZiYo9ULN8XuPz7iI5J0CpiJsRACCEkjFRiJfrouyPfFnjh48D4XlCI5DH5PYmZsvAkfNjK3YKCAt5rffz48TwjnQXZWdB9z549PKheE1hnunbtym9E2Nip6Nevn9/HrFwXKwNfE1ivX+qUlYefNWtWbXY925599lm/svGERDutRI9xqYHbWYxJPh8acfVNPSGEEBJoIphV7AmE7afgOiGEkKAS2gPp/vfgHCu1PeElQJVIJ480WXC9rrS0NF6Rkrnkkktgs9l4AJslebAWkDXVCyPh4MGDsFqtPPBfd+6JJZXQ3BNpyYa2T0SGvrq6Q11yiRC3jm4PpZSC64QQQhqSCMWYkDoCygABdK1EjbMS+kIoiM0wNV35SECspzm7mWAbK8d/3XXX8ZXG99xzz0nPmFAo5H2z6nK5Gmbp1p8crinBFYjZbOb//eCDDzBo0CC/MZpIJrFEIpTirISx0EsS8Evht7zPul4Sj/GpF6GHrj9kIv9WDIQQQkgNlpWVkZHBW+nU7b3O3lOx/WycEEIICUiTAkz/Alg/F/hnHuA0Axl9gXEvAqnd6aSRJlM/gYL1N2ctBxmWuMHKsrNM8d9//523gnzllVd4G8JAiReNxealmLpzU4HmpYLNPf3888/8vVVd9dsmEtKSpOsV+PqGwXjrzwP4flsBXF4vhndIwsMTO6NNgjLSh0cIISSKJcsT8EKP+/FF7vf4p3Infy84JKEvprc6n4/FKpqBI43CstNZH/YuXbrg2LFjfKvJXmel2auqqvhjGNaHivW8qp+VfrIbI7aamfXiYjc89R+bkpKC9PR0HD58GDNmzKDvGolpaokWAxNGoJO2BzxeN0QCMc9oZxcWQggh5ESkUil/D8b6q7ONLTJkGwXWCSGEnJQ2HRj7ODD4ZsDnASQqQBW7E1qkeWCJFpMmTeLbrbfeis6dO/N2hKyCInvfw97vnEigx7B5KaawsBB9+vSpnZeq/3lM3c9l81osiM7K1VMJeEL8tYpX4qkLumH2OR35whWNXAKt4vQXwRBCCGkZhAIhMpWpuKPDTFg8Nr5PI1JBLo7thYsUXCd+ysvLeVmua6+9lge7WW+rzZs3897oF1xwAe+D1aNHDx7gfuONN3i5LraymN109O/fnz/HmDFj+EpjVjaL9aj64osveLC95oYmmNtuuw1vvfUW7+/+0EMP8f7rf//9N++31alTJzz11FO44447+H5Wrp71wmLHVllZibvvvpu+kyTm6CRxkT4EQgghMYgF0imYTggh5PQuIlJA55+RS0iksPaDLLjNKhQqlUo+f8SC7a1bt+bjbdq0wapVq/g8EQt6JyY2bF/AHpOTk8OD55mZmXweiz3H4MGD8eKLLyI7O5uXoX/00Uf9Po+9BlvgvmTJEkycOJF/Dvvce++9F3fddRfPrh82bBgMBgPWrl0LrVaLmTNnhu3cEBKNFFIx3wghhJBTpRQr+NZcxGYxe9JkWC8pdlMzZ84cjBgxAt27d+dl4Vnvq7fffpvfePzwww+Ii4vj4yzYznpjLViwoPY5xo0bxz/n/vvvx4ABA2AymXDVVVed9LUTEhLw119/8TJcLFjPerKzMvA1WeysNP2HH36IefPm8QA/ewy7EWM3SoREkstjhNl1BJX2HTA5D8HhqaRvCCGEkEYxGKzIzS3Dnj0FOJZXAZO5ehUvIYQQcjIlJjv2Fhqx9WglcsstsDgi16uakNOh1+v5vM/QoUN5ggcrD//TTz/x+SHm6aefxpEjR9CuXbvabPT6LrroIp6AMXr0aP6Y+fPn8/0ff/wxTwhhc0uzZ8/Gs88+6/d5rOw7S+J48MEHebVElvDBPPPMM3xO64UXXuDVG9lzszLxNPdEmhXWMsFYABRuB/I2A5W5gIvuQwghhJycx+1FSYkB+/YVYt/eAhQXG+B2n7jSUHMk8NVvjt2MGY1GnvXMVp2yFad12e12vtKVvVlm/cYJiTX0Mxyh8+4uwe7yF1Bk/b12n17WC72TXoFSko7m/HezpaFzQQgJNXYD8uwLP2LXrvzafcOGdsAdt52LxERNzJ9w+rtJ54IQ0nQOlphx4+f/4FBpdY9okVCAKwZl4fYxHZCoie0SiwxdQ05+HmgOgNDPADktHjdQuBX45qrqADsjlgOjHwH6XAEo42P6xNL1g84FIaTp2O0ubPknB6+8sAQmk53vU6lkuOu+iRg4qC2USlmLuYZQ5johhJwmt9eKvRWv+wXWmSrHdmwpuQMOdzmdW0IIIQFVVlrw5NOL/QLrzJq1B/Du+8thtTrozBFCCAmosMqGyz74uzawzni8Pny6PhcLNh+F2+OlM0cIISQwQx7w6aTjgXU+wWUHfn8MyF1HZ40QQkhQhQWVePLRRbWBdcZiceDZJxcj71hFizpzFFwnhJDT5PCUo9Dya8Axo3MvHJ4yOreEEEICqqyyYN/+ooBjK1buQWWllc4cIYSQgPaXmFBqCrwI671Vh1ESZIwQQgjBvl+Cl4Bf/ixgLqWTRAghpAGn041F32yE1xu4GPrXX66HzeZsMWeOguuEEHKa3F4LfAjeT8ThoRsSQgghgVVUWIKeGnajYrVRYIQQQkhgB4qPZ6zXZ7S5YXe1vJ6HhBBCGil/S/Cx8kOAp+UERgghhJxaSficnODxjiNHyvhjWgoKrhNCyGkSC1UQQBR0XCZKonNLCCEkoPh4ddAzIxQKYr5PFSGEkKbTMUUTdEyrEEMuCX6PQgghpIXL7Bd8LKE9IJaG82gIIYTECLlcgux2yUHHs7MToVBI0FJQcJ0QQk6TTJSANPV5Ace00m6QiRLp3BJCCAkoPk6Jzp1SA46NHtUFcXoVnTlCCCEBdUhWI0UbeBHWTSPaIUVDC7QIIYQE0XECIFEGHhvzGKCiRBFCCCENSaViXHTxAJ4QUp9AAEyfcRbk8pazQIuC64QQcprEQiU6x81Gqmo8u4TU7o+T9UHf5NchEyfQuSWEEBKQXq/CE49NRY/umX43IyOGd8KN14+GUtlybkgIIYScmjS9Al9dN5gH2WuIhQJcO7QNpg1oBZGIpnoIIYQEocsEZi6p/m8NiQIY9zyQNZhOGyGEkKDSM+Lw9HMXQ6tT1O5Tq+V47MmpyGwV36LOnDjSB0AIIbFMLk5Gj4Qn0El/O1xeIy8VLxXF8S3SXB4TnN4KOD0VEAlUkInjKZueEEKiSEqKDk8/dRGqqqywWR38hkQfp4RaJY/0ocFgtKGq0gKjyQaNRoE4vRI6XZAMF0IIIWHXLlmN+dcPRrnFyXusxyklSFTLoJRFfpqnzORAmcUBs92NBLUMCSoptC2oRCQhhEQ1kbi6NPysPwBrWXWPdZatrkoBJFFQ+cRYCFhKAJcdUCdXH5sseEstQggh4SOTSTBgUDu89+EsPpfl8/mg1yuRkKCBSBzZBb4erxclJgvKrBa4PV4kqVVIUqkgkzTN/VHk77oIISTGSUQavkUTu7sUeyteQ4HlZwA+vk8taYe+KW9CLWkT6cMjhBDyH51WwbdoUlJixIsvL8G27Udr9/Xs2QoPPzAJycnaiB4bIYSQ4xI1Mr5Fk5wyC276/B/sKzbVVmU5v2caHjuvK5K1kV88Rggh5D/atOotWni9QPFO4OvLAUNe9T6hGBh8K3DW7YCaytUTQkg0YFWykpK1fIsWDrcbm4/l4+7vf0Glzc73ycViPDB2BCZ16wStPPT3IVQrjBBCmhmP14FDhg9RYFlSG1hnzK5D2FR0I+zu4ogeHyGEkOjFMtVffvVnv8A6s2PHMR5wNxptETs2Qggh0a3YaMfMjzfWBtYZnw/4aXsh3l5+kGfYE9IUnnzySaSkpEAgEOD7778P6XNfffXVmDJlSkifkxASgOEY8Mn5xwPrjNcNrHsT2PNj9QWFEEIICSDfYMT1C76vDawzdrcbT/32F3YVlaApUHC9GQj2Rn/FihX8xmLRokUQiUTIz88P+PkdOnTA3XffHYYjJYSEg8NThmOmhQHHbO58WN2B/xYQQgghVZVWbNmaG/BEsIB7ZZWFThIhhJCA8iptOFphDTi2YNMxlJocdOaIn2PHjuHaa69Feno6pFIpWrdujTvvvBPl5eWNPlN79uzBU089hffeew+FhYWYMGECnWVCYtGxDYDDGHhs1cuAqSjcR0QIISQGeH0+LNz+L9ysAkoAb61aD0OdoHuoUHA9xEwGK44dLsHe7UdxLKeUfxxpI0aMQEJCAj799NMGY6tWrcLBgwcxa9asiBwbIST0PD4bvL7gE1c2V51VwIQQQkgdFuuJAx9Wi5POFyGEkIDyKoPPfzjcXlidlLkerQxWJw6VmLH1aCUOlZr5x03t8OHD6N+/Pw4cOID58+fzual3330Xf/75J4YMGYKKiopGPc+hQ4f4fy+44AKkpqZCJju9Vgkul+u0Po8QEiLFu4KPscA66w1PCCGE1ON0u7GvpAzBHKms4lnsoUbB9RAqLarCi/d8jRvOm4O7pr+DGya+jhfv/ZrvjySJRIIrr7wSn3zySYOxjz/+GIMGDUK3bt0icmyEEH8+nwdWVz7yzUuwt+INFFl+h81deEqnSSxQQiQI3r9XKcmi004IIc2Q0+lGQUElflqyFR9+tAKbN+egrOx4ad7GUKtOPCGtVkdXb19CCCGhYXa4eVD1g1WH8cpv+7D5SAVKTaeW4dE6Xhl0TC4RQikVheBISagVVNlw2/ytGPv6Skyduw5jX1uJ2+dv5fub0q233sqz1ZctW4aRI0ciKyuLZ53/8ccfvPLiI488gr1790KpVOKrr76q/bxvvvkGCoUCu3fv5uXgJ02axPcLhUJevZHxer14+umnkZmZyYPtvXv3xtKlS2uf48iRI/yxCxYs4K8tl8vx5ZdfwuPx8MqOer2eJ6ncf//98FEpakJOzlpZHRxf9Sqw4kWgcBtgbXwFCi69d/AxXSYgktJ3ghBCmiGnpxwmx3bkVr6BY1XvweI8AJcnSCWTAKRiMXqkpQYdb5+YAIVEjFCj4HqIsAz1Nx79DlvWHvDbv2XNAbzx2HcRz2BnmelsNTDLVK9hNpuxcOFCylonJEqwm3ajcy/W5F+I7aUP4rDhQ2wpuQtr86fD7Dzc6OeRihLRWnt5wDGVpA0U4vQQHjUhhJBoCaxv3ZaLmdd+gDlv/oavvv4b9z+0AHff+xWKiw2Nfh59nApDhrQPODZwQFvo9cEDJ4QQQmKT2e7CD1vzeVD1uV/24P+WH8TF767HbV9t5X3UGys9ToF2SeqAY1cOboMUrTyER01CgWWoP7BoB1Yf8M/2WXWgDA8u2tFkGewsK/23337DLbfcwgPldbHs8xkzZvDAd6dOnfDqq6/yxx09ehR5eXm46aab8NJLL6Fr16649957MW/ePP55rCQ825g333wTr732Gv/cHTt2YNy4cZg8eTKfF6vrwQcf5GXoWWl59hj2OSwxhSWirFmzhh/n4sWLm+QcENJsWMqry7a/cxbw1zPAiheA90YCSx8GzKfQ5zajP6CICzw2+mFAmxayQyaEEBIdnO5SHCh7GNsKL8JRw9s4UvUKthRMQIHpM7g8jZvLEgoEmNKjC6SiwAt57xwxBFp56O9DKLgeIlXl5gaB9boBdjbelJYsWQK1Wu231e0zxW46Bg8ezG8Q6q72ZcG86dOnN+mxERIKHp8HVc5yVDjLYHafWhZerLB7SrC5+Da4ff79bJ3ecmwtvQ8Od+NW/YqEUmRrr0SWZjoEOL4qSyfrgQEp70AuTg75sRNCCIms8nIzHn/yO3g8/j2m8vIr8f6HK2CzNW5yXKOWY/Yd4zD0rA74L/mLYwH3e+4aD40meGUUQghpjiwON8/gZZvVGfpygtGgwGDHI9//22D/hpwKfLPpWINrSzDJGjnmXTMAfbP0tftEQgFmDMrC9SOyIRXTFFS0KTM7GwTW6wbY2XhTYEFuNh/VpUuXgONsf2VlJUpLS3lgfdiwYbjiiitw9dVXY8CAAbj99tv549jcF8syrwnKs41hQfUHHniAz3exAD0LxrPs9TfeeMPvdWbPno0LL7wQ2dnZSEtL4+MPPfQQ38eOgZWp1+l0TXIOSMtgtLmQX2VDYZUNDnczbY1Rugf4e27D/Tu+ru6j3lgsO/2aX4HEjsf3ieXAmMeADuNDc6yEEBJDKq02FBiMKDKZ4PY0z2tIue0vVNj+bLD/aNUbsLtzG/08GTotPrn8IqRqji/01chkeHnSOHRMSkRTCH0ufAtlOUm5NKv5xP0rz9To0aPxzjvv+O3bsGEDv/moce211+Kuu+7CW2+9BY1GwwPtl1xyCf83IdHM4KzE2rI/sKpsKWweK7KUbTE14ypkKFpDJmo+2Q8OTxkcntKAYybnPji9lZAhoVHPJRMnonP83cjWzYTLa+Cl4qWiOL4RQkhL43a7eZlPtolEIr6Jxc3rbfD+A0VwuQLfbK1ctRfXXTsSCkXjSikmJWrwwH3noarKCrPFAZVKhji9Emp187nmEkLIybDA35FyK15btg+//lsEtt5ofPdU3HtuJ7RJVDWrE/jjtvygY5+sO4Jp/VshRde4a0BWvBIfzhyACouTL0zQKyVIVMugkjWv625zYbSfuM+46STjZ6qxJdfZ/FXHjh156fddu3bVln8PxGg0oqCgAEOHDvXbzz7evn273z7W872GwWDgme+sdWIN9n6RPYZKw5NT5XR7cKjUgud/2YM1B8sgFQkxrX8mbhrVHhn6ZrRY1WUF1r0dfHzd/4A2wwHF8UVXQbHf6+QuwNU/A5YywG0HlAmAOgWQ0H0IIaTlsDqd2F1cihf+WImdhcXQymW4qn9vTO/TE8l1gsexzukuQ77xeDJwfQXGL9ExsRsEgpO3lpKIROiXmY5vr56OCqsNHq8P8UoFktUqiINktJ8pursJEZXmxBd5ZRP3p1SpVGjf3r+EJyuXVRdbscuC6yxjfcSIEVi7di1eeOGFJj0uQs6UyWXAZ7lv4aB5T+2+o9bD+N+Bp3Br+0fRQdO12Zxkj/fE7SO8vlNbpCMWKvkGtDrDIyOEkNjldDp5306LxeL3vikjI4P3+Wwuqk7Qgsjr9cF1ipkyLJBOwXRCSEuWV2nDhXPXotJ6PLi4ZEch1h4sw4+3DUOrE/QXjzUlpuD3GVU2F7yn2HM6XiXlG4l+WrnkhOOak4yfLjZ/xQLkrBz71KlTG4yz/XFxcUhKSuIfs6A4ey/HgussAM6yzEOBvSckpCnklFkx5f/WwuGurvzB/vv530d5pYj5NwxGmq6ZBNg9LsB2giqL1grAc4oVMNTJ1RshhLRQOwqKMPOrRah5B260O/D2mg3YdDQfb0ydiIRm8v7FBw/cnqqg4y5vOXw+d6OC6wx7b5mi0fAtHKgmV4joE9ToO6xDwDG2n41HGstQZ5nqbMUv60nFVv0OHz480odFyAmVO0v9Aus1fPBhUd4nPPjeXMjFKUH/LIsECkiFlHVOCCGnmrFeP7DOsI/ZfjbeXHTpnB50LDVVB5WyaRd6EkJIc8LKoC/8J88vsF6D7ftuS16jS6XHgnO6svuQwIa0TaCs82YsUS3FiA6BS2Wy/Wy8KSQkJOCcc87B3LlzYbPZ/MaKiorw5Zdf4tJLL+WTpKzvOSsH/8gjj/D/sn7s9T+nLq1Wi/T0dJ5QUhf7mLVMDIaVf2dBe1YFsgZ7r/jPP/+c0ddKWh6zw4XXf99fG1ivi1VE2XY0eCAh5kg1QKeJwcc7nAvIqbUCIYQ0VpnFgqeXragNrNe14Wge8g3Np12uSKiBXnFW0PFE5TgIhdE7l0XB9RDR6JSY/cyFDQLs7OPZz1zEx6PBrFmzsG7dOt43ipWJJyTaHTTvDjpWaD8Gh/fELRliiVQUj9ba6QHHOuhvgVTUNP1BCCGkuWJl4OsH1muw/Wy8uUhO0qJf3zYBx2675WwkRMFCT0IIiRUGuxu/7y4OOr5sdzGM9uazQKtHhg5tA5S6Z/3SH5zQGVpF02Qvk8jTKaV48aKeDQLs7OOXLurJx5vK22+/DYfDgXHjxmHVqlU4duwYli5dyoPurMLQc889xx930003oVWrVnj00Ufx+uuv8/dv99577wmf+7777uN91hcsWIB9+/bhwQcfxLZt23DnnXee8PPY+Isvvojvv/8ee/fu5f3eq6qaUSCUhIXJ7saaA4Fb/jFLdhTwylLNglAIdL+ounx7fTINMPB6QBy9gRFCCIk2FocLB8uCVwTZkOtfrTqWiYVKZOlug1DQ8DohFaVBr/Bv8RNtqCx8CCWl6vHgq9NRVW7mPdZZKXiWsR4tgXVm2LBh6NSpEw4ePIirrroq0odDyEmpRMGDASKBCEJB81kjJBGq0V5/I5TiLByq+gBObznk4jR01N+OZOVwiIRUWpEQQk7FyYLnzSm4rtcr8cD95+GHH7bg+x+2wGJ1oE3rRNx80xh07ZIR6cMjhJCYIhEJoFUEny5hwWaJqPnch6TqFPj8ukH4v78OYtGWPJ5t2be1Ho+f3xXtk2lxVnOXrlfgrcv6oMzs5D3WWSl4lrHelIF1pkOHDti8eTOeeOIJTJs2jWeop6amYsqUKXxffHw8PvvsM/zyyy/YunUr73/Oti+++ILPbZ1//vmYMGFCwOe+4447eA/1e+65ByUlJTxj/ccff+SveSLs8azs/MyZM3kJepaUwsrWs+cipLGEAnYNkcDiDHyvkaiWQSgUNJ8Tqs8CZi0D/nga2LcE8HmB9mcD5zwL6FtH+ugIISSmsMWtEqEQLm/gKllxyhO3p441ckkWeqUtxOGK52Cw/w0BJEhUnYfW+jshFwev0BgNBD7fKTbPimFGo5GXeWJvilmZqLrsdjtycnKQnZ0Nubx5/YCSlqG5/gyXOYrw3O574EXDC8rA+BG4pNW1kEZxeZDT4fN5YfeU8p4iQoEUcnF1n7lo+7vZ0tC5ICT2sGyoAwcOBB1nE6wyWfO6hrjdHlRUWuD1eCGTSRAXF7leXPR3k84FIbHszz3FmPXp5oBjH189AGM6N79+sHaXBxUWJ8+oVMnFiGvi4OqJ0DXk5Oehuc4BkMajn4HoxP6GfrD6MF74dW/A8Z/vGIZu6c2wVLrDDNgqeSNHyPWAPDJzSHT9oHNBSCyzuVx44tc/8f2/DdvkigQC/HbT1ciK06O5cXmM8PhMgE8AiSgOIqEi6q8hlLlOSAxMkrN+fuzNuUgkrN1aCq04Dle2uQ2fHXmL91mvkSxLw4S0S5pdYJ0RCIRQ8P7rhBByZkyuSpjdBrh9TqhEWqglcc3y72YwIpEIKpUqYGl4tp+NNzdisYiXiCeEkDPB1uAXGx0oNzvg9vqQoJYiWSODVNz8/m4G07uVHhf1zcCiLfl++y/um4memc0wKMIzR0Q8i5kQQs6E2+NFsan6GlKTqc2uIeIWMpfFstKn9MnAX3tLsCGnwm/svnGdkBnXTP/OytTVGyGEnAGny43yKgsqDFZIxELEaZVIjFNDIGhGFT9OQCGR4M6RZ2F7QRFyKtiCpeNVUV6bMgFJ6sglUDQliUgLCWJrLouC64RE+cWksMgAm93FP2aXEI1ajqQkDSQRmtjyeB1w+6wQC5QQhSFAIxXJ0E3bFw93eQ3/Gv5BlasCnbU9kS7Pgl4a3+SvTwghsarYfhRf5b6MMkcB/1gIEYYmno9hSVOglkQmKGCz2OG0u6DUyCGRNn3/VlY6lPXszM/P9wuws8A628/GCSGE+HO5vdieV4VbvtyCElN1YEQhEeGhiZ0xuVc69JHKZnaYAI8TkOkAUdP//U5Qy/DIeV1x9Vlt8MvOIrD5vAk90pChVyBeRe2aCCEkEKvDjVUHSnH/oh0w2tx8n04hwauX9MLQ9glQSiP0/ttmAHweQBHHMhqa/OVStHK8fXkf5JRZsGxXMTRyMb+GpGrlvGQ8IYSQhoxmO35dvQvvfL0GDmf1NSQpXo3nZ09C5+wUnkwQCVUOGwQQQCcLT6WgDJ0Wn824GHtLSrHmcC5StWqM7dAOKWo1D76T6EAzioREKZaxnl9QVXshYXz/XWTYKtjkJA3vARa24/HaYHUdxWHDPJhcB6CWtEdb3dVQSVpDLFQ26WvLRDIki9IwRn5+k74OIYQ0F1XOUnx46HFYPcbafV54sLrsB2glCRicOBFCQfiuIaYqC3J3HcM3L/+AkqNl6HpWJ0y9fQJS26ZA0sQTbFKpFK1ateL91dnGstXZRoF1QggJrKDKhhkfbuB9t2vYXB48/sMutElQYUTHMLcsspQCBduAdW9Vl5vtOA7oc0V1H9cmDpCwIDrbemQ2v9KLhBDSFHLKLbj5yy2o24TUYHPhxs8345c7hqNzWpiz0kxFwJE1wMb3qxdo9bgE6HoBoMts8pdO0sj5NjA7oclfixBCmoOd+wvwxmcr/PaVVphx27Pf4suXZyIjJbzvyQvNJvxx9CC+2f8vxEIhrujSG0PTs5Cq0jT5a6do1Hwb2S67yV+LnB4KrhMSpdxur19gvS6D0Yb4OBWk0vAERrw+N8pt6/FPyZ3/hfgBk3MfCi2/oE/y60hRjoZQQH9OCCEkWhTacvwC63WtKFmEbroh0EnDM8ljM9uxbN5fePeez2r3Hdp+BEs/+hOvrngKXQd3bPJjYIF0CqYTQkjjLNlR6BdYr+vVZfvQI0OHuHBlblsrgL+eBf755Pi+oh3Apg+BWb8DiR3CcxyEEEJOyuZy450Vh/wC6zW8PvA+5M9N7cFbUIQtsP7dDUDOyuP7CrYCG94Drv4Z0LcKz3EQQgg5qSqjFe99sybgGIuRrNx0EJef3z+sgfUZv36DQ4bj7T22lBSgT1Ia3jt7ClJU1AajpWsZzW4IiUEutyfoGLtP8Qa6W2kiDk8pdpQ9VhtYr3skO8uegMNdGrZjIYQQcnJF9tygYxYP68Fe3W4kHCqLDXj//i8a7Hc53Xht1juoLK4K27EQQgg5eZ9cVhI+mJxSC+wnuE8JOUO+f2C9Bstg/+PJ6lLxhBBCooLV4cGBYnPQ8b1FJticYbyGFO7wD6zXqMoFtnwGeAIntBBCCAk/p8uDowXHe4zXt/tQIXxhioewuMuSnL1+gfUaW0sLsak4LyzHQaIbBdcJiVIn6qnOih+y0vDh4vRUwOU1BBxze41weMrDdiyEEEJOLlXeOuiYSqSDWBC+Hk2HdxyB1xM4A/LonjyYKoJPwBFCCAkvsUiIXicogZ6dpII8nL0O9/18grFfABst0CKEkGihlInQISV4Jl/nVA2U0jBdQ9xO4J95wce3zwesZeE5FkIIIScllYiQlR4XdLxruzQImrglVI0Ku5WXgg/myz3bYXE6w3IsJHpRcJ2QKCUWCyEL0odWp1XwiS9CCCEkkDRFNpSiwP0MRyVfBI0k+A1LuIWvDgshhJDGOK9nGmTiwPca95zbMXwl4QkhhMQUhUSMm0e1Q6DYB8sPuX54W8jCVRL+pOguhBBCooleq8QN04YGHGMxkhED2iOa+Og60uJRdI6QKCUWi5CRrodCfjy7kN2faNVyJCSoIRSG79dXKkqARKgLfJxCLWSi8PTtJYQQ0jh6aRKua/c0EqRptftEAjGGJ16AnvphEArCdw1p27M1hEEWhGV1yYQ2nvpUEUJINMnQK/DFdYOQrJHV7lNIRHh6crcTZrU3iU7nnWBsIqAI8/EQQgg5oewEFebO6Aut4niyiE4hwXtX9ENWgjJ8Z08sBfpdE3y81+WAMjF8x0MIIeSkenRIx+yrRvklHCbFq/HWI5cgNUETtjMYL1diWsfuQcdndOkFtfT4vRJpmQKnxUap/Px8PPDAA/j1119htVrRvn17zJs3D/3794/0oRHSJKQSMTLS9PB4vLzXh0gohEhUvYWTTJSInonP4J+SO+ut7hWgR+JTkImTwno8hBBCTi5FnoXr2z0Ls5v1WHdCJdJCLdZDKpKH9fTFpepxw8tX4N17PvPbL5GKcc9HNyMuhQIjhBASTSRiIfq3jsOPtw1DucUBl8eLRLWMB9ul4SwJz+gygH5XN+y7rogDzn4SkIVvko0QQsjJKWVinNMlBT3vHIFys4Pvq7mGhL0CY1pPIHtkw77r+tZA36sAUUxNixNCSLOn0ygw9exeGNG/PSoNVp58GKdVIDFOHbaS8IxQIMD52Z0xf++OBn3X+ySlYUBKZtiOhUSvmHkXUVlZiaFDh2L06NE8uJ6UlIQDBw4gLi56ypoS0hTYRYRtoeBwuFBRaYHF6oRcLoFep4BadfIgi1AgRoJiCIalL8RhwzyYXAeglrRHW901UEmy+HhzZv/vvFmtTl5JIE6vhFJJq9MIIdGPlX8PVQl4h8cGs7sKTq8dMqGi0YF6hUqOc68Zg04DO2DBS9+j9Fg5up7VCVPvmIjU7GQ0d3aPFRa3ofq8iZTV501I1xBCSHRjk1epOjnfQsFgc6LC7ITV5eEZjI0O1CvjgTGPAp3PB9b9r7rHeodxQN8rqoMjzVyV1YlyixMOlwdahQQpWhkkomgpqUwIIYGxIDqrgsK2UKiwOFBhccLp9kGvlCBFI2tc0okmFbjwfSB3LbDhPcDtAHpeCnSdDOiaf2CkzOxApcUJt9cHPbv2auUQsfr8hBAS5cmGaUk6voVCWZUZBpMdPp+PVwROamSgPk2twZcTLsHvRw/h2/3/QiQQ4MouvTE0ow1SVM2/AqPJVQ6bx8T/rRBpoJFQ5eL6YiYi9tJLL6FVq1Y8U71GdnZ2RI+JkFhSWWnB199txHc/boHT5eE9sIYMbI+7bjkbyUmB+/LWJRYqoJV14pnqbp8VIoECYmF4sx8jobzCjM++XoclS3fA7fZCKBRg5NCOuPX6MUhKpEwZQkjLYHSV49eCz/CvYS288EIIEfrGj8HZKdMbFbzX6FXoPrQz2s2fDafNCaVWAYn0eNuT5srgLMOSgo+wx7iR9+NipfkHxp+LkVHW954QQppSXqUVDy7agTUHy2tLzN80qh2uGJSFBHUjFhupkoAO5wCtBgFeFyDTtYhsw9xyC+79djs2HankH6ukItw5tgMu7p+JeBUt0iKEtAwHS0y48+tt2FVg5B+z4PojE7vg3G6pfLFWowLs3S8C2o0FfN7qyidhzH6MBK/Xh33FJsz+ehv/LxOvkuLJSV0xqnMytHXaTxJCSHPldnuwN6cYT839FXlFVbUl5h++4Vz07pwJuezkfwvT1FoeUJ/ctjPv16uXhWbRWDRze50osO3DkoLXYHCV8H1aSTLOT78LGYouEAulkT7EqBEzPdd//PFHXv79kksuQXJyMvr06YMPPvjghJ/jcDhgNBr9tqZmMtlw9Fg5du8rwNG8cv5xOBQVFeH2229H27ZtIZPJ+EKESZMm4c8//6x9zLp16zBx4kSe7S+Xy9GjRw+8/vrr8Hg8fHzRokUQiUS8/H4gHTp0wN13383/PWrUKMyePbt2jH3MVvywjb1+RkYGf/3vvvvulL6Omuf4+++/G3wvExIS+NiKFSv8Hv/9998H/bgu9nk1z8/6let0Ov5zdP/996OwsBDNmdPpxjffb8bXizbxwDrj8wHrNhzEky/8iMoqS6OfSySUQSaKaxGBdbvdhU++Wofvl2zjgfWam5Tlq/fhxTm/wGAMz+83iYxIXEMIiUZWtxk/5L2HHYbVPLDOeOHB5orf8VvhFzyjvbFYFrsuUdsiAusWtxHfHn0Tu40beGCd8fjcWF/+C1aWLILTW10mkzRPdA0hpFqJ0Y6ZH2+qDawzNpcHc37fj0Vb8nj7q0aTawFlQosIrBcZbJjx4YbawDpjcXrw/K978duuYp55Q5qniF0/bJVA2X4gbzNQdqD64yZWWlqKm2++GVlZWXweKTU1FePGjcPatWtPOr8TjNPpxCuvvIK+fftCpVLxeZ9evXrh0UcfRUFBQRN9JaQpF2dNe+/v2sA6U2V14b6FO/BP7in+jCr01dVQmnlgncmvsuHS99bXBtYZlvl/x9fbsLvOuSTND92DEHJcYakRtz7zTW1gnSmtMOOelxbjaGHjryHs/YhermgRgXWmylWM+bmP1AbWGaOrBF/nPopKZ/OOoTXb4Prhw4fxzjvv8ADvb7/9xt+A33HHHfj000+Dfs4LL7zA30jXbCzg3JRKSo146sWfcOWNH+Hmu77AlTd8hKde+onvb0pHjhxBv3798Ndff/GbiJ07d2Lp0qW8hP6tt97KH7N48WKMHDkSmZmZWL58Ofbu3Ys777wTzz77LKZPn85vzidPnswD2IHO6apVq3Dw4EHMmjUr6HFcf/31PEh96NAhHqjv2rUrf+4bbrjhlL6e+hUKao5frQ5NuY19+/bxm6pNmzbhgQcewB9//IHu3bvz89ZclVdasPCHfwKO7dpbgPKKxgfXW5KKSjN+/m1HwLHNW3NPaVECiT3hvoYQEq1YSfO9ps0Bx7ZVreSl4klDZlcVcqy7Ap6ajRXL6Lw1c3QNIaTasUobDpWaA56O/1t+CMUmWmgUyMFSC/IqAy9ee/33/Sg22ulHrJmKyPXDkA98ey3w9gDgw7HA2/2BhbOq9zehiy66CFu3buVzUPv37+dJNSxxo7z8+GKcUw0qnXPOOXj++edx9dVX83ksNs/zv//9D2VlZXjrrbfQlFhgn4TW5iMVPCgcyIu/7uFlz0lDy/eVwGh3Bzw1Ly3dy0vFk+aJ7kEIqcaSSX9cvrM2ybAur8+HT7/fAJud/hYGylrfVL4YXjS8hrAkm00V3/PHkBgLrnu9Xr7ylL1JZtnGLGDLgrnvvvtu0M956KGHYDAYardjx4412fGxDPWX31iKTVuP+O3ftOUIXn5zaZNmsN9yyy18Bc3GjRv5zUnHjh3RrVs3nmXOMsAtFgs/Vyx4/v7776N3795o06YNrrvuOn4Ts3DhQnzzzTeQSCS48sor8cknnzR4jY8//hiDBg3izxuMUqnkK41ZAH/w4MG8lP97773HKwywAHZjzZw5E19//TVsNpvf67P9ocAqH7DjZOeJBf/ZquikpCS+YKO5Yr3CWfZ6MIV1VnCR48wW5wmzaVjJeNJ8hfMaQkg0s3iCLxL0wQubhxYaBVLlKgt63lgGu8NjDcn3h0QnuoYQUm1/0fGsufoMNheszoYTXgTYlW8IehpKTQ7YXKeQ8U9iStivHyxD/YfbgMN/+e8/9Cfw4+1NlsFeVVWF1atX83kjlhjSunVrDBw4kH/9bO6KzVkxU6dO5fNdNR+fyJw5c7BmzRqeeMKScVgSCsuKZ4kmbO6QzSfWnWNkQSjWblKhUPDsdjY3VtfKlSv5MbGs+rS0NDz44INwu4/Pq7CFALfddhuv6piYmMiz7hm2SIAlBrGKkexrY/Nu7GtgX3MNdpzDhw/nr80WULDjZXN3NebOnVv7HCkpKbj44ovREtWt3lHf/mIznP9VGCTHseSpvw8HX6Cyt9AEu5uuvc0V3YMQUs3ucOPfA8Er1rBy8VYbBYnrc3rtKLTvD3reWLl4p5cq+cZccJ29kWWZ0HV16dIFR48eDfo57A2wVqv125pKZZW1QWC9boCdjTeFiooKnqXOMtRZyav69Ho9li1bxlf+3nvvvQ3GWel2FmSeP38+/5hlph84cICv8K1hNpv5TcaJstaDYQFxVob+VMrDsxsgduPEst8Z9j1mx8MC/02B3czcdNNNPMheUnK83EVzIpeLIRIGL32VEB+aqgDNjeIk/bt0WmXYjoWEXzivIYREM4Wo4fuLumTCllEa61SpxbqgYwIIIG0B7VVaMrqGEFItMz74NUImFkIuiZkpibBqkxj82quRifm5I81T2K8fltKGgfW6AXY23gRYZUK2sbLvLOO8PlZpkGFVDVmFxJqPT4TNa7HMdZaQEwgLcNdggfXPPvuMB9137dqFu+66C1dccQUPqDOsXSJrqzhgwABs376dV9L86KOPePXHuljgXCqV8vkk9lw5OTk8ED5lyhT+eTfeeCMeeeQRv89h1R7Hjx/Pk2N27NiBBQsW8GA7C9Qzmzdv5sH2p59+mldeZHN+I0aMQEvUIUUTdCxdJ4f4BPNcLRX7Oe90gvOWEaeARETXkOaK7kEIqSaVitEqLS7o6UhP0kEqa/6tpk6VRCiDXpIWdDxOkg6xUBbWY4pmMXM1HTp0KH9TWRcrG8VWt0YDs9VxRuOni5VqZ6sSO3fuHPQx7DzVLEYIhH1uzWPYAgaWdc4yxWuwrHb2GizL+1Sx3uYseM9K15+Ka6+9tvYYWCY9u6lh2eVNpeb8nepxxoo4vQojh3UKOJaaokNyEgUNA543nRKD+rcNONYmKwHxcQ0nvVhJmYKiKuTklqG4xAA3rQgmhMQ4lViHNHl2wLG2qh5QiekaEohWEo8EaeCbki7agQHPm9FpR66pEgcMpSiyGnm5MkIIiWXtktRIVEsDjk0f2ApJGpqcCaRbuhZaeeAJv2uGtgl43ljp5MOlZhwoMfFe94Q0it14ZuOnSSwW87keFpxmSSFszu/hhx/mwWamZv6HjbHKg42ZD2LzWp06+c97sMz3mkD+WWedxfexYD7LYmdzTizbvG3btryMPAuus+qLNZnjLKP87bff5vNFLFj+1FNP4bXXXuNZ7zVYdvnLL7/MX5dt7PPZf1nLRvZfNo/GnrsuFtifMWMGz3hnn8+Oi5WuZ8F+u93OE0xY8sz555/P5zzZYgEWbG+JRndKCrqY6LYx7ekaEsSkXulBFx7cObYDEtUNryFlJgcOlphxqMSMcguV2yeExDaJWIRp4/qizro6P9dMHQSNkhIeGpw3oQyDE4NXy2FjgRJFiiwmHKgsQ46hAlWOlpPZHjPBdbaKlJU4Z2+AWUD5q6++4iXOa3qKR5paKTuj8dPFgt6hfiwLbLNMdZOpuoQfu+G45JJLoNEEX/l4stetu0K4MdhNzfr163H48GF+w8WOqSnVnJtTPc5YoVRIcfOs0ejTK8tvf1qqDq88fTESEyhzPRC1Wo57bjsX3bqk++1v3Soezz9+YYPgemmZCa+/vQxXXP8hrr75Y1xzyzx8s3gz9WYnhMR8Bvblre9Hssy/52eGoh0ubHUrlOLTe3/Q3Gkkcbgq+5EGAfY2yi44P30W5PUqAhwzV2L2+u8x9pe5GL/0fVzw+8f4MfdfGJwUICGExK50vQJfzBqEVK3/JMzZXZJxy6j2kIlFETu2aJauU+Cr6wcjqV4AZHKvdFwxpLVf1iG7l91XZMK1n2zEmNdW4pzXV+Hid9djzYFS2E7QGowQTq49s/EzwDK3CwoKeBl1lsm9YsUK3g4yUKvC08WC5Nu2beNzSlZrdUVJNqfI/s2y3GsC72xjwW2WVc7s2bMHQ4YM8ZsjYgsAWGXHvLw8v8qLdbGkIJbtXhcrLV8Xy2hnX2Pd12ZBfha0Z5nv7LhYUJ0F/VkFxy+//LL22FuaNL0cn147EFrF8cVG7Fsyc0hrnNsttdnO4Z2pDL0CH189gFc6qcFi7beMaoeh7RP9Hut0e3hv+0vf/xtnv74SY19fiSs/3Iid+Qa4T9AmkRBCol16ig5P3noeZNLjfwvFIiHuuGIk2rdOjuixRbMEaSYmps2GSHC8oi/79/i025FYb17Q7HTg99yDmPLjlzh70TyM+vYj3PjHDzhsqEBLEDO1D9ib08WLF/PeIaw0EuuL9MYbb/DVntEgTq/EgL5teAn4+th+Nt4U2CpX9mZy7969QR/DMsdrbg5qVurWxfbXLbnPVtayxQwsY52VnmLlrdjK2tPh8Xh4mfn6Nxcnk5CQwFfpslL0bOXuhAkTaoP9TYGdA6YxfbxiVXKSBk8+OBmVlRYUlRh5NjsLqlNg/cRSkrV4/rGpKK+0orTMyAPqrIx+/VL6VVVWPPPyT9j+7/EbbYvViffmreSZh5deOICvmiOEkFgUL0vBtW2fgslVAZO7kmdls+CxWqyP9KFFtURZOq5v9yyMrgqY3VXQSRKhkeh5NYC6WJb6FSu+RJ7leI/dMrsF92z4Ee8OvRjnZAauPkMIIbGgc5oW3986FEUGGyptLmTqFTzbUK8MnNFOWAU4Ac9e//G2oSg02mG0udAqXolElRS6euctr9KGS95bB6PteCD9aIUVV328ET/cNgw9MoK3KSEEqiSg3djqEvD1sf1svAmxnuIsmMy2xx57DNdddx2eeOKJBtnejZ0fq1/xkrWYZOLj42v3sQA58/PPPyMjI6NBSeVTEag948mw12fl4gNlo7Me8azM/JYtW/hiA9bm8fHHH8eTTz7JS+OzTP6WRCoSoX/rOCy9cwTyq2ywONxok6BCgloKjfzEbfxaMplEhLPaJWDpbHberLA5PbzdSIJKCnW985ZbbsVlH/wNl+d4QtbuQiOmvbsev945/IRtSgghJJop5VKMGtgePTqmIb/EAI/Hi8xUPRJ0KshldA0JRiZSoatuJFqreqLKVcQX8sZJ06ASx/HM9rp2lZfgut8X++37u/AYpi35Gj9ccAUy1M270mXMBNcZFmxlWzTSaBS4/87xePnNpX4BdhZYZ/vZeFNgNwhshev//d//8Tfm9d/YV1VV4dxzz+WPY+Wr6gfX2QphFvx+5pln6nwtGp6pzjLW2apdFpwfPnz4aR0fK/FVWVnJVySfKraymJWDf+CBByASNV1Q0maz8SoIbCFBU5aejwZ6nZJv2W2a99cZanq9im/tsoOft7IKs19gva4vF/yNs0d24SX4CSEkVrGgMNvIqZ63OL6dyD5DqV9gva4Xt/+J3gkZSFJQlRlCSOxK1cn5RhqPLaJP0yv4diK/7SryC6zX8PqAOcv24c3L+lAQigSniAMmvwX8eLt/gJ0F1tl+Nh5GLPGD9WFnJBIJT9horMsuuwyPPvootm7dGrTves1rsCA6K78+cuTIgI9hbRUXLVrkV4mRJZ6w+bLMzMygz81Kwf/yyy9+++r3i2fZ+bt370b79u1PWDb/7LPP5htbbMCC6n/99RcuvPBCtDQsy5BVQWEbObXzxvqrsy0Yu8uD91cd9gus17C5PPh601Hce24n/lyEEBKLpBIx0pJ0fCOn2Htdmsq3YCrtNjy/cWXAsVKbBRuL8jC1/fGE3uYopoLr0Y71rX7igUmorLLyHuusFDzLWD9ZYN3l8cDp9cDmdkEqFEEuFkMiFDW6vBELrLPyVKzUFMvq79mzJ9xuN37//Xe88847PCub9X1iGek33HADbrvtNmi1Wvz555+47777cPHFF2PatGl+z8kyxllAnX0uC243BitTVVRUxF+blclilQbmzJmDm2++GaNHj8apYmXBSktL+bGeClZGi5X9qr+CuUZJSQnPhmeZ8P/88w/vj1VWVobvvvvulI+RRIbL7YHd6YJcKomabPBj+cHLnVhtTlitzrAeD2k5fJ4iwH0IPvchCMTtAXFbCETB3/wQ0tI57U44HS4o1PImXbx3Kv4pOxZ07Ii5EnaPK6zHQ1oGj9eHQoMNewtNPBusW4YWWfFKJGsoAEpIUE4r4HUBMm11beIIc7g9WHuwPOj49jwDz/SkDE9yQroM4OKPAEtpdY91VgqeZayfILDu9frg8np5Rqzb64NKKuLtChobhCsvL+dJHSypgs1hsaD15s2b+fzMBRdcUFtZkM1bsfkuFgyPiztxoJ9VYGTZ6GPHjuUBaTanxT6H9WL/9ddfa9/3sde69957+eNZKfZhw4bBYDDw4Dmbf5o5cyZuueUWXi3z9ttv53NoLCOePefdd98NoTD418gy0l9//XU+j8bm1djcVE2Z+5o5PjY2ePBg/rwsU58lybBgO5vDYz3elyxZwlsksgQQdvwsWM+Os34/eRJ72N9j1pVSLY+O6Xizw40tRyuDjm/MqYDF6YFOQcF1ElpWqwOVFRb8uzMPTpcbPXtmIT5B1WTJiYQ0Bw6PBQIIIRVFx++J3ePCzrKioONr8o9QcJ2cGnYROJULgdPjxhFjFeye4yvNRQIBsrVxUIgljQqwsz5MrGTUc889h3vuuQeFhYU8A5v1fmLBdYYF0JcvX84fw24wWHCZBZwfeeQRzJ49u8HrsJsL9sad9aK66qqrGvW1fPDBB3xjJaxYWXf2+gsWLMDUqVNxOtgxJSb69wJqDHazU9/q1atr/82+LvbcrK8VO3css599TmoqBaOiRaXZhsJyI1ZsP8i/V2N6t0dKnAYyiRj5ZQZ8vWIrDhaUo3NmMqaN6oWMRB0fi6T6ZeLrl3WURcnNE2leWEDdV3E14C2u/pj9nzAViP8UAnF2pA+PkIioqDAjL78Sf284CJVShmFDOyIxUQOfy428/QVY9PoSlOaVo9fobhh39WiktEmKeJA9Sx18slgrkUMsjI5FAKR5BdZ35lfxnpomx/H7kC5pGnx41YATZjkR0pwVGezYV2TEmoNlPEtydKdknnEvd1YCxbuAv+cC9iqgy2SgyyRAnxXR45UIhWiTELwFXYpW7tefnZCgWCC9kVnqLLDOgnK5FVae2V2DLeLIjFM06meOzccMGjSIJ2SwiokulwutWrXC9ddfj4cffpg/hlVfZHM1bJ6JlW8/cqRhG8b6JeZZMJ4FxefNm8fbSrKgNGsryVoNsmB6DVa9kc2bsRaILJDNMsNZRnnNa7PXY0FtlpDSq1cvXg2SBctZZvyJsNdauHAhn5t78803ed92Nu/Gkk5qSs6zxQQrV67k+9n8HDuH7dq1w6WXXsrH2bGw5A9WCr5m7m7+/Pno1q3bSc8riaz8Siu2HavC1mNV6JiiwZC2CUjTyVFhcWLL0Sp8/vcRuD0+XNK/FYa2Z2ORfb8lEwv5deJQqSXgOLsOysV0DSGhZTbb8ftvOzH3rd/5YpMaky7og6uuYYuKqBUBaXl8Pjfs7kIY7H/D6joIjawXNLLekIvTYXSV4Yh5K3YYfodIIEa/uElIV3SCWnK85U0kiARCpKo0yDcbA4631UX2+MJB4Kv7TriZMxqN0Ol0fEVq/Wxo9oaVZTyzN8LsDXk4eLxeHDMbYHQ6GoyxAHsHfSLvL0RIY0TiZ7gpVBitmPPdKvy8YY/f/ouG98CFw3rgyhfn8x7mNcRCIf532xQM7JTFg9iRUlJmwo13foaKyoY3JSOHdsKDd42HUnlq/dui/e9mSxNt58LnKYWv4irAc6jhoLgjBHGfQiBKiMShERIxZeUmPPvcj9ix0z8T/OYbxyBLI8WjE57z28+y1+esfgbterVBJB0zV+HcX9/llYzqu7PbcNzSdWhMBtij7e9mJEXbuWCTvxP+tzpgKemJPVLx8sU9oaY+dKSFYb8XV3y0ETllx9/Pi4QCvDujD4Ybl0D+273+n6BJBa5ZCsRHdkEjWwww/s3VfhPUNebO6IuJPap7TseaaPu7GSnRNo/FOFwe7C82w1e9tNcPC9Qla2SNrsTYErAkl3fffRfHjgWvVNTS54Gag4MlJlz63t8otxyvWqiQiPD5dQOxaHMe5m/y//53SlXjk2sGRjzAvvZgGWZ8uCHg2Pe3nIXeWeFtDREKdP2I7nOxf18hbrlhXsCxx5++ECNGdg77MRESST6fFybHduwsvgpen612v0SYgO6pn+P7/A9xzPav3+e0VfXDeel3RTTA7vP58OXe7Xhk7e8BY5t/XHxtTAbYT+XvJi0/iyC3zxswsM54fD6e1U5IS7Mjp7BBYJ1ZtHonDhWUI17rn5nh9nrx2CdLUWYwI5KSEzV49dlLEF9vhWXnjqm47YbRMRlYJ1HOWxE4sM6491ePE9KCeDxeLFv2b4PAOvPOe3/BI5FAIvWvImIz2zHnhvdgKAu80jZcUhUazBt5GVRiqd/+czI6Ynq7PjEZWCfR7XCpJWBgnVn6bxEqzNSKgLQsVocbLy3d5xdYr6nycMtXW1ES36/hJ5mKgJWvAK7jk2CRkBmnxJxpvSGtly08a1g2BmXH3oQWiX6s4kmgwDpTZnYE7N/cksydO5f3WWcZ8Z9//jleeeUVXmqeNF/lZgfu/HqbX2C9pm/5jZ/9g4FtGy5631dkxs87Cv2qP0RCt3Qt7jmnI+rmqrCFZU9N7oa2ScErNBJyOtxuL77/7p+g4/O/WAeDwUonl7QoDk8xdpfc6BdYZ1zecuwvuw+dNL0bfM5hyz8odhxGJAkEAoxr3QHTOnT32y8TifH+OVOQrtKguaM6xRFU9w0UW80RL1fwUvCMyemEx+dFc/L888/zLRBWCov1wCItm8lqx+d/BH+T9evGvbxE/Dcrt/vtLzdaUWG2ITkusn+022Un4703rkRBURVKSk1o3SoBSYmaBgF3QkKi7psuYSoEymmAuB3gc8Fn/91/nJAWoLLSgu++3xx0fOP2o+g1qhs2L/O/huzbdBCmCjN0iZFbyS8RidA/MRO/jr8Bh4xlqHLa0FmfjCS5GnGy4OV+CTldpebjC3zbJalx2cBWPHPK5nLj+60FvI8zIS0JC4j8srMw4BgLFG4pAbLi2wIV9Sax/v0WGPNIdc/qCFHJxBjfPRV9W+uxr8gEu8vLgyWJahm0iur5BUJCyek+PlellIoQp5TyYBxbjFJpZYuzmiZYyMqi5+bmBhx77733MGPGDESDAwcO4Nlnn0VFRQWysrJ4iXhWop40XxVWJ3YVGINeX1j5dYlI0GDhyfyNxzClTwb/ex0peqUU1wxtg0m90rGrwMB/l7ukaZGkkUFZb2EyIWfK5XKjrLT6d4UVOOnTrw1GTu4OuVKC0kIjNv55AG4X3YeQlsXpLoIrSIKUxbkL2drA9xlbKpagtbInxEL/JI1wSlKq8OjgUbix50DsKi+BWipFx7hEpCjVLaIiN10lI0goEPKgOlvNwX7gSm0WlNqsYIsFdTI5ZKLmdSN80003Ydq0aQHHFArq60gAt8cLo9Ue9FSwMYU08O9FpFf71khO0vKNkCYnZOXZRIBsNASKKfBZ3gfM/wMESkA+CRDq6ZtAWhR2HTDXCRjWZ7Y4IVfLo/YawrLTM1Q6vhHS1DqlVi9InHlWG3RP1+LdlYdxqNQMvVKCywZm8TKmhLQkbq+Pb8FU2LyAJMBiJx+bAI78NUQuESErXsU3QpqaWibmGerV5ax9KDGxbHUv77VeHSRsmpLwrAc6680eSEpKCqIF6yPPNtIyF5wEYnW6+e+Hy+MfNGQtD6PgNgRquYRvbRLpGkKallwuQf+BbbF921Hc/dT52C4sx8OHV6LKYUd7fTzuvGkIBAoqtExaFo+vYYvZ+v3YA/HCG7SSUDjpZAq+tY9rea1JKbgeQRKhEKlKDV/FkWuqqu0jzf6fXVQsLifa6RKazSqP+Ph4vhESjEYpw/Du2bz8eyD9OmZiz9HiBvt1KjniNJTZR1oYYSKgvB4CaXf4qu7gb6s4nxWwLYDPtROIex8CUXKkj5SQsGDtN/r0zsKGjYFLY/XsnIpv5y1rsD+7RxY0cVTykLQsqVo5rhzcCm0TVbhv4Y7a/VVWF95ZcQi55RY8N6UH4lSRWwVPSDipZSJkJ6oalIWv0T9DBmzOaTjQZTKgiL1+tIScCbYAiwXRWUCdBdlrsI8LDTY+t5WklkFYt850CLRu3Tqkz0dIKLO/2aITs6NhAIRl5yaoZLA6G2bjTu2TgXh6r0VaEFZGmvVUdwg9WGjZj2V5x1sdHqyqwO1rf8b/pOdjctvO/LGEtARycav/FiY2DJSLBGq4fIF/F3rrx0EipDa0kURLgSKIXSR0MhmqHNU3H/W5vF6YXMEzsAhpbsQiES4c1hNqRcMLg14lx4QBnbFxn38vXfZe69EZZyNRG7oVtpUmK3KLK5BTVI4y44lXjxESKQKhCgLlZdUZ6zWB9brcuwF3ZPvvEBJOKpUM180aBbG44dvbzIw4ZLdORFFOid9+1oP9rvduhD45dNniFUVVOLonD3n7CyLey52QYBLUMlw3vB3eXn4w4PgvO4tQaqL7ENJyJGnkeHJyt4BjQ9slIN1XCjjr3RfI9cDoRwFpiO5D2JyAsQAo3QuUHwZshtA8L2n2wl2BRyIW8oBg/f7SNVgmu9vbvNocRqtoqL5EgGSNDPeO6xjwVFwxKAu7Cxr+Pc+MU+Civhm8DHsoeDxeFFTZcKDYhKMVFp4tT0g0SknVod/o9n6B9bqe/Xs5iqzmsB8XIZEiEcYjTXN5wLHW+ruxy9iw/WGavBPSFZ1DdgwerxN2dz4szgOwu/Lg9dJcQGNQ5nqEsffBZlfgGxLG6LAjTibnJeRJ7GEln9w+L7/hEQmFvFoBfS9PLCNRi8/un463fliLldsP8eD52D7tccvkoUjQqvDp/dPx4S8bcKS4Eu0zEnHd+IFonRIHsejMf0e8Xh8OFpTh6S9+x+7c6gz5NilxPHjfrU0qZBL6k0mijMALuI5nHNbnc6yEQDY4rIdEQjhR5i0GWN8lVnJWFA8IkyEQNK+WMaGW1SoB//fWVXjn3b+wbftRSKVijB/XA5ddOhgKiRAv/PoI5r+4GOX5Feg+rDMuue8CpLcLTRlRh92JfRsPYs4N7/HAOtOxfzvc8+HNaNO9FYRCei9HoovD7T1hAH1PkREd/ysfT2Kv1RILbpWzjFIBkKiSIVkrD9kEfnPVr3Uc5l8/CM8s2YPdhUZo5WLeOuGKwa2RKDQAF30M/P02YDcCHccDA64H4kKUScue8/ByYOmD1QF2dhPUdgxw3mtAfHZoXoM0OxJJ9ftCq9Ua9lZ77N45WGCX7Xd7fKB2zU3P6ayeTxSFsOKlw+Xh7w9YH3GxUMCzrlN0gVsrkWqs5PuU3tW9019eug9HK6y8Z/lto9vjvJ5p/PdBp5Tiyw25vO/6hX0ycEGfDGToQ/N7W2lx4IftBZjz+wEYbC7+fTuvRxoemNAZ6SF6DUJCmWx4wBC4vzRTYrPA5HQgTUX3IbHIbneiosICo8EGmUwCfZwScXHUcuJExCINsvS3QyFpi2OGd+HylEIubo02cfdALz8LIxROxMuysMuwHCKBBH3jJqK9ZhA0ktCUYXe6S5FvnIcC0+fw+mwQCuQ82J+hvR4ycVJIXqO5okhRhLF7ZpFACFegrEPef5NNxNIkSCyyu1283L/jv55K7LuYpFAhUaHkfVVJ8DdZbVLj8fRV42Cysf7rAmiVMijl1WVJe2Sn4YVZE2Fzunj/9Zr9oVBQYcCs176BxX58wQsL4t/0xiJ8+fAMdMhIpG8biTLC6h7rrBR8ICL6mY1FPp8LcG2Hr+qu6gA7I1BCoHkQPvlECITaSB9i1JJIROjQPhVPPTEVVqsTAqEAep2SB9mZ/uN6o/OgDnA5XFBqlZApQncNyT9QiPvGPgWv5/h7uv2bD+Gu4Y/h3a2vIK1t9PQCJYSRnmRhol5Bi3likcXhxuoDpbh/0Q4YbdVZa3FKCV67pBeGtE/k5ZxJYKyk75B2ifh81kDYXR6+GIEFSqoX8cqBHhcB7UYDXnd11ro4hG0T8jYD31x1/GMWtDz0J/Dp+cC1vwG6TPq2kQZYQFWv16OkpLoyj1KpDFsZXafTA587eKKI0+GAMEiPUBIaXq8XpaWl/PsuFodmerfK6sSiLXl45bd9sLuq39Om6+SYe0VfdE/XhSSpoTmXhj+/ZzoGZsfzHuwsuSZZK6v9nWQLtSb2SOOLT9hjQ5mxzgLrT/64u3af2+vj+45WWvHBlf2RqKGywSS66OUnXrAjoXnzmFRZacH8L9bhh8X/8L9NTJvsJDzx9IVoldXy+nGfCqkoEemaK5GoHA8f3BBAWhvY1omAIYmXoHfceAgggFIcusqLHq8FuVVvosj8de0+r8+OfOPHcHmq0C7+cYhF1EYxGAquRxgLsrJga545cNnQBLkSQuoxEnOcHg8OGyrgrrOS2/ff6jv2BiFerqDeMSehUkj5FggLqIcyqM54vF78smGPX2C9Bitp9/HSDXjsinOhlEV+otnhdsPotPPFN3Fy6jXfogkTAMWlgHVegEEBBLIxETgocsY8BfBVXM2uJsf3+azwGR+HQNQakA2hk3wSGo2Cb4Go9aFfNW2z2PHlM4v8Aus1rCYbln+9FtMfnBIV2es+rxXwWQCBjBZqtHCspO/wDolYfaCswZhSKkK7ZLqJjkWsZ/jNX27hsdkalVYXrvtsM369cwQ6UTWCRrVNCEoZj5AzlwLLHgk8ZsgDCrZHTXDdbHfzUsNKqRhqOU0nRYPU1FT+35oAe7h4vD5U8PLvDbPXWdasyCKjahlhwN5bZmVlhWx+adORSl69o64Cgx2Xvb8Bv80egawEmn84mWRN8KBhU/RXLzY58MYfBwKObT1ahUKDLWqC6yyr3un2QCUT8+sIabna6eKhFEtgdbsajA1Pb40EOVVciDUejwdLf9mO7xZu8tt/JKcU9971Jd5+52okJVOiyIkIBELIxIGTMoQCEVRiPULN6SlDkfnbgGMllsXI0t8aNcF1p6cS8LkhFuogFIb+eno66EoWBTRSGbRSGYxO/7KMyQoVpCL6FsUim9vlF1ivq9hm5t9vSQjLdjU1FnguNVvg8nghE4uRrGk+5VyKK004VFDGJwc2788L+rgdh4tgsTsiGlxn34ejZgM+2rUJK/NyoJcpcH33ARiSlsWrIpCWRyCQAqpr4HNuBNy76o5AoHsREFKmbCzy2Zb4B9brjpnfAMRdIBCF/k11U3E63aiqsvKVywqFBPomCG5H6uaxLK8C+zYfgiZOhT1/7w/62G1/7cTUOyZCoY5cSU2f1w54jsJnfgdwbweEqYD6ZkDSHQJhXMSOi0SOViHBs1O64/IPNiC/yuaX0f7hVf2RcoLJYRKdrA435i4/6BdYr8HiXx+vOYxnpvSAVBz5hT6n8jVVWp38+FmZdlZWt1lw2QFTEXDsbyChPVByPOOwgSOrgS7nIZJMdhcOFJvx5p8HcKjUjA7JatwxtgPaJ6uhkUd+8XFLxoKqaWlpSE5OhsvVMEjRpErMuPubbbxiRg0WNHt9Wi+0T6ZyvuEglUpDtniTtRJ59bd9AcdsLg/+2luMq4fGVpsKo83FN1ZKkmWLswolzYHZ4eal+9cfKuO/a1XW4L/7+4tN6JEZ2XvHSosT2/Oq8PZfB1FktPM2LLeMao82CUrIqKJOi5SiVOPDc6fi6qWL4PRWV3xl0lUaPDfsHGhldB8Sa8rLLFjw1d9BxszIzS2LueB6pdUGi9PJE1/jlQrI/2vHE+sMVjvKjBb8vf8oxvZiv3/Hfwf9+eDyVEAhCVEbrDMoW19l/xv5xg/h9hoRpxiFDO3VkIszIRBENr7WPN5VxDiWyZyh1iLZ4+EBdnZzpJPKeFZ7dVn40HB7PXyihf1BYP2/SdMG14N/H7zw8jz22MCC6gu3/ot5f/8Dg92BVnE63DtmGIZkt4IuzH3dQu1IcQVumLMQZQYLxvXvhERd8IBPkl4FaYhKrZ2uw8YKXPDT57UrO4+ZDbhj5U84v00nPD3kHMRTFnuLJBClAnHvAe4c3mMdogQIZGOr+3MLlSHs/13OpuYBob46qE+ahM/nrA58BuM+zBqPxMzZLy014utvNuCXX7fD4XCjXbtk3Hbz2ejYMRWKEJZkj0QZzgP/HMYD5zzDM9Mvf+RCJKTHoTSP/Z40lNImGZJIT+a5dsBXOfP4jZMnD77KWYDqdkB1LQTC5rHogZya1gkqLLxpCHYVGrExp4JPcg5rn4hUvZz3Dw0FtrCm3Fq9YCiBlUGlkrJNxuryYF+xOej43iITzzqWhrKceRNiPWtfW7YPP+8o5Nmxg7Lj8PikbjywKxXHzkLlgIH1wyuAb64APC7ggrcBZQJgDXwNiXTPdVaV7ffdxbj7m+PvT/IqbVi+rxRvTu/NyxyH6u8FObMS8aHsu90Y3VrJ8PGss/BPbiV25RvQLUPHg2asj3SoMqlZeW22wEYkECBBLaUKgE2InevDZcGvIVuPVYHV1ooFLHnicKkZz/28BysPlPI2jWd3ScGDEzojO1EV0z9HJpsLi7bm46mfdvE53nev6MerRQSqIsGk6BQRX5z10ZocvL38oN81hF3b598wGAPaNEFFGBL1WMLZgJRM/HnxtVhTkIsjhkoMTM1Et8SUkPZad3gcsLhtEAlF0Elo0VdTJ1WYzcHnqnKPlKH/gLaIBXaXG/tLy/DMsuXYXlDEf16ndO+MW4YNRoYuthYI1FdhtuL9ZRvw1ept/OP+HYaf8PGiEM0rny6npxwHK55CuXVp7b5C0+coMS9G77SFUErbI5LoDijEjBY7jhRVYGdOIf8v+7ixAXalRIpUlYav3pKLJacUWC8qKsLtt9+Otm3bQiaToVWrVpg0aRL+/PNPuLweVNltWLjsN4wdPw7xCfGQy+Xo0aMHXn/9dZ55xSxatIjfjOXn5wd8jQ4dOuDuu+/m/x41ahRmz55dO8Y+Zm9O2cZePyMjg7/+d999h1OxcuVKjBkzBvHx8bxvFHvNmTNnwumsnpBbsWJF7evU32rOQZcuXQI+99GjR/nX9+OPP6KpKcTBVzKx76uQv7WPfgabDc8vW4E3VqzjgXXmWKUBdy76Gb/vO8QzqWNVhcmKBz74mQfWmVU7D+Ocvh2DPn7W+IHQqSK3ctLosOO5jcsDlkxacmQf8oO0liAtg0CUDIFsEITa+yFUzYJA3CZ0gXVPMWD9Ar6KGfCVXwyf8SX43EerA+4k5PjCBXH34A8Qt6nu+xoDyivMeOzJ77D4+394YJ05dKgEd9/3FfbtL0IsYxnrD098ngfWmb++WoMJ140N+vgLbh0PsSRywXWfpxQ+4yOBVyRb/g/wNiwLTlqONL2CTzg/PLELLh/UGlkJrHpWaAI0LCP+reUHceHcdXxj/66bJU9CSykRoWNK8LJ9HVM0MVOGtaDKhkvfW48fthXUBgw25FTyn6PccitimqkQWDCjOrDO7PgG6MsWPwUgkgAdzkEklRodeOz7fwOOsf0lxthZ9EdCi83DZMYpcUHvDDx8Xlf+X/ZxKAKX7F4jt9yC537ejSn/txbT3luPz9bnoph+3poMWyTDAs/B9Ipw9vOpOFZpxdS567BifykPQLPLyLLdxbjwnXU8sBvLjlXa8OSP1YF1ZsW+EozrVt0eoj69UoK2J/iehkOZ2Yn/W3E8sF6DXdsfXLSDZ+CTlondb2Rp9bi8cy88PGgUzm7dPmSBdbfXjTxrId459BXu3/ESntr1P6wu3YQqJ82dNhWpTATVCVorZbVORKw4XF6B6Z8t4IF1xuXx4Nvtu3D1V4tQZDQhlu0+VlwbWGe251ihlnYL+FilpCMkrB1pBNndeX6B9Roenxk5la/A7Q2+KDAcKLgeQkUVJjz00c+48KlPMfPlr/l/H/roF76/KR05cgT9+vXDX3/9hVdeeQU7d+7E0qVLMXr0aNx6660ospgwb8F8XDnpAiSnpeKD7xbih3WrcfNtt+HZZ5/F9OnT+Y3L5MmTkZCQgE8//bTBa6xatQoHDx7ErFmzgh7H9ddfj8LCQhw6dIgH6rt27cqf+4YbbmjU17F7926MHz8e/fv356/Hvo633nqLl7mqWQBQY9++ffy16m6sDBo7vr1792LdunUNnv+TTz7hj5k4cSKamkIs5iurA2Hl/kNZkaAplZqt+GVX4DK3r/6xGiWm6sB0rAbXD+QfDybYHC6s23UEt08Z5vf9Yd/Ga8YNQI/sNESSyeXAyvycoOO/Hw3cY4uQM+HzlMBXdSd8pmcATw7gLQJsn8NXfhEvL02ahkAxmU1vBR5Tz46ZkvB5eRXYHyCIziaC3p77ByqrYvcaUpRTAlOFucHHk24+129CWSQW4e4PbkJauwi3aPAaAE9usEHAtTfMB0RaAhYcnf7+et4HlE1ks439m+1jYyT0lDIxbh7VLuCYUADMGp4dMyXh1xwsQ6GhYdDW4fby0uR1y1DHnMMrAW+d489ZBSR3BjpN8H+cRAFctgDQZiDSgRGLM3C5SKPdjXJL4FY2hJwJtohm8ttr8en6XP634HCZBU/8uAu3frmFFnQ0EdaX+55zOwUck0uEGNslGbGA9fT+fP0RXjq9PlY+/Ydt+TyzPRZ5vT58tcH/Pf3irfm4sG8GerfSNwisfzFrENJ0kV2Y/W++IWC7GuZQqYX3YSck1HKtBbh3+wtYXbYJlS4Dcq35eOPAPHyWuxhGV2SDcc1VQoIa06YPDjgWH69C6zaxEVw32u145a/VvPJwfbmVVdhZWIxYZbI58NGfm/z2zf11N1SCZyAX+5d+l4kz0TV5LqTiyH7fyi3Lgo5V2JbD7YnsgpnYWLYeA1iG+jNfLMP6Pf7BhvV7cvHMF7/jhVkToW2irNdbbrmFT+Ru3LgRKtXxFYndunXDZVddidyKCjx9970YOe5cPP76q7Xj7dq2RXpqKqZOmYJvvvkGl156Ka688koehH744Yf9XuPjjz/GoEGD+HMGwzLNU1OrV0tmZmZi8ODB6Ny5M6699lpMmzYNZ5999gm/jmXLlvHPf/nll48fY7t2POBeHwuS6/UNgwu9e/dG3759+fGeddZZtfvZ4gH2dbEseHEYSnuzSgRtdfHINVbV9o5hU+2JChX0MnnMlKA6VFYRdKzSZofR7kCaLjbL6jicDW+0Fq3ZibP7dsBrN02CxV49SdQlKwUJWiXUiuCr78JDAJFACLfPG/RnjpCQc+8FXFsa7vcZ4LO8D2geg0AYG1nUMUWUAUHcPPgMs49nFAsUEKjv5/2xY8WWrcGCucDhwyWws4mU2Fgn0IChvOEb+A8f/JIH15/96UEYyoyQq+Ro3ycbcSk6/u+IEpwkmCagWwISWuy999J/i3CsomEQne37bVcRrj6rTcy8J44l7ZLUePvyPnho0U6Y/gss6BQSvHpJL2TFR7asX2O53F7+MxLMukPlvMws6+0ck4wFDfd9fwsw/J7qDHZrBaBKBJK6AJpUIMJl/FlbuTMZJ+RU2ZxuzF1xMGDQbXNuJW9xkayle5CmMLBNPB6e0Bmv/b6fL2ZiUrQyvDOjHy/3HwvYop8V+4JXZfpzTwmuHNKGXxtjDcv2LqxXvYF9n+6Yv5UvjLhlVDv+e8OqErGMdRZYj/R7LVay/kROMkzIKTO5zPjw8AK4fA3nfVeWbsDk9LHQSoJXeiKnh1ULnnheL1RUmPHTD1vg9VSvqmmVlYAnn70IyTHSb93qdGHj0byg47/vO4hzOkW2FPmZLD6r+K/6Yo0Ksw03v/s3Hr74ebRNc0EhK4FCkgW5uBVk4pToqO4ZhACi6oBbBMXo3Wh0ZsHWD6zXDbCz8aYIrldUVPAs9eeee84vsF5DrFJi/c8/oaqiEjNvvdlvjJWXnnD+eejYsSPmz5/Pg+ss85uVimeZ4yNGjOCPM5vNWLhwIebMmXPKx8eC2ffccw8vD3+y4DoLrLMM9LqvfTrY1/Dggw/izTffrD0nrJx8Tk4OD/SHA3vzykrDt9PF82Aom2Bkfe7FAmFM9bvXKU78Mys7xV6Hbo8HZUYr3G4PZFIxknSRezOjUysgEYvgcvtnYfyx5QD+2noQPz5zDdITdIgWbFHG+DYdsSQncHbhOVkdwn5MpHljf7d8tsXBH2D/DVDfzv56h/OwWgSBQAKftD8ECYsAbwXAbgqFiYAoEQJBpBf6NF58XPAShDKZGMJT7M/q9LhRZrfw66pKLEWCPHIlDlt1CpxF+NM7y7Di63V4f8drSMyIov6BAh0g7gK49wQYlADi4G1RCDkdVTYXz6QK5rst+ZjSJwNxytjo/R1LWMCZlYft00rPM47ZnHqiWoZkjQziGOmLLRQK+DEHE6eUnPI9ldXhRoXVybPnNHIx9JH82cseDqx6yX8fy2Rf+RKQ0h246ofq4HqUYH2u2TmvtDYMdCaqpUhQ0e8xCS0WHGQLtIL5dvMxDO/A3hdTVC7U4lRSXHVWG0zokYZys4OXimd/A1K0kQ/SNpZUJORZ28HEq6T8MafCaHPxn0t2BnRKCTTyyATmWfUZ1sqHLRCoi1UXeXrJbkzqmYYXL+oBlSx6Fg50S9cG7QnfI0MHfQwuciDRzeKxYb85eOXPHYZ9aKPKDOsxtRRx8Wpcd/1oXHTxQBiqrJDJJdDHKREfHzuLGdi1jsVDyiyB21ClaE79a6m02mB2OvmC1HilAgpJZP7uaeQyDOmUhZwS/2TKUqMFd328DrdPPAvXjpkCURTdMyYqx+GY4a3AY6rzIBHGIZKi50zFOFZW4UTMJxk/XaxUOwuAsAzxQNgbv9xDh/m/szt2aDDGNva5+/dXl/5mpdxZxjnL/K7BstrZa7AS76dKKBTy4D0rXX8yl1xyCS677DKMHDkSaWlpmDp1Kt5++20YjQ2zw1hmvFqtrt3qZtRffvnlcLlc+Pbbb2v3zZs3D8OGDePHEk4SkYgH2ZUSKWQicUwF1pmsOB208sATW4PbtEKcsvErl1lv83m/bcKlz36OyY/PwzWvLMBvm/fBYIlMWdBErRJXjO0bcOyi4T2hU0XXqmyVRIr7+g5HkqJhMOmG7gOQqoqdNyoklpwgkCtgbwZjY4IlFgkEQghEaRBIukEg7QWBOCOmAutM/35teIAkkIkTeiFO3/gMyiKrEc9v+wPn/PouRv88F1es+BLrio/A4opMj774VD3OumBAwLGZT0/j2erRRCBKgED3AiBoeM4F2ierF28QEkJs4oBNyJ9ocpiyXZsOO/cZcUr0aqVHz0w90vWKmAmsMyKhAFcMygo6ft3wtkjSNP6aeLTCige/24FRr6zA8JeXY9anm7Ez38CzNyIisQOQ3DXw2LnPRFVgnWFBtTcu7c2/L3WxYMmcS3vzcUJC7UQtLBRSUcwEemORXCJCq3glemfFoVuGDqk6RUydb61CgptGtg06ft3wbP4z1BisfPyBYhNum78VI15ZjuGvLMfsBdtwqNTM50kjYUSHxIDXQIlIgFtHt4+qwHpNu4GnL2hYBVUlFeGli3og/gSL6Qg5HYL//heMlKq2NSmFUor0jDh06ZaBtu2SYyqwziSqlJg5oE/Q8cnduzT6uewuN7bnF+L6BYsxdu7HOPedeXhy6Z/IN0SmlLlUIsJlw3tDIRUHDLxP6Ns5qgLrjEycinTNNahPKkpGa/0dEAkjG7+JrrMVwzQnKRndFCWl2Rs5V71e5A1eV1Lndeu98dNIZbzMdH0su5tlqptM1b3iWaCdBb41Gs1pH2dj3oiz8iEsCJ6Xl8dLw2dkZOD555/ngXOW0V7X6tWrsW3bttrtl19+qR1j5eIvvPDC2gUCLDjPesCfqF88CSxZo8a7l14Aeb1S+uk6DZ457+yTZrbXMFjseG3hSrzz03qYrNWBkIJyIx766BeeKe7xBC513pTkUglmjO2Ley4eCb26+g+xVinD7RcMxQ3nDYJKHpoMDLZ4ILe4EgfyS1FUYTqjr7W1Ng7fn38FHh84BoNSWmFC6474duLluLnHYOhl0bUYgEQ/n88Nn9cAn7dhP1OG/d0WKKcFfwLFNEAYRZm5JOokJmrw6CMXNAiwd+yQgunTBkEa4A19IKU2M25c8y0+P/gP7J7q0m77DaW4csWX2FHh//4gXLQJGtwx93pc+sAUKNTV10KWqX7fvFsxevow3ms9FMrtFhw0lmFfVQmKraYzm8QTd4Qg4UdAdRsgGQDIL4Qg4XtAPgGCCN+QkNjjdHtRZXXCESQ4yUqtzjzLv29bXTPPis1yrCR8shKUeGBcw96/Z3dJPqW+vwVVNlz63nr8uL2wNmvun9xKXDR3HXLKAmekNDlW6n3Gt0CfKwHRf/ccCe2BGYuAzMALt05HsdGOfUUmHhgqNZ3+YjQWVB/cNgG/zR7Of68HZsfjmrPaYOnsEbyEdLCFdIQEY3d5+DUk2HxWglqGS/u3Cvr50wcEX3xDCNMnKw6X9GuYmXrdsGx0Sm18aeJjlVZMnbsOq/aX8ilVtrGs8QvnrkNeZWQSRdjiuW9vHIJzu6bUllRnGeBsX9skVch6uxdW2bC3yMgXElRYqtsmng6lVIzze6Vjye3DeG/4QdnxmD22A369c/gpfS8IqeH02mFzm+D1Bb6GaMQq9IsL3k6vpz5wgiIhDEuMnNqjKwa3bngNeWr8WKRpG79Y4HB5BaZ/tgA7/uvT7vJ6sXjnHlz15UIUGqvjbuGWEa/D53dOR7+2x6sxsmz2z+68FOlxofmb7HJ5UJxfiZy9Bcg/UgqL8fSvlxKRHln6m9EzdT4SlOdCJxuItvGPoVfat7x8faRRWfgQidcoMaRLa14Cvj62n42HEiuNWuWwQ5aaxAMg23f9i/MvmNyg77JEKETvrtWr4g/vP4DeA6tv1ll58jSlhv/B2LNnD89Yr8Ey1O+66y6esc7Ks69duxYvvPDCaR2nx+PBgQMHMGBA4ycJWFCd9X5n2zPPPMOzzd9991089dRTtY/Jzs4O2HO9Bgukjx07lmf2L1++nAfu2QIBcmrEQiF6ZaTi55uuwuaj+ThSUYk+menolJKIVG3jF1uUGy08Sz2Qt75fg6HdspEaH/7e7ez3cvro3rzPusPlhlTMStWrQrZK62hJJZ76/HdsPVhdFlWnkuPOqcMxpnc7aE8zMz5DrcM1XfthWoce/PddVm/hAyEn42M3IJ58+GzfAM6/AWEqoJoFiNtCIKyXbStuAyguAmyL/PeLsiFQTuflywkJRiaTYPDAdvh03g3YvDmH997q27cNMjPikZDQ+BuSI6YK/FsZuDTo01uX4YtRMyJSIj4hLQ4zn5qGyTePg8vhgkwpRUJ6fEgyezxeL/YZSnDvhp/4f5k0hQbP9p+IgclZUJ5G/10BW6EvzgLUtwK+awGBjH6HySlzuDw8C3je2hzsKjCifbKGZ4C1jldCWa//9ZC2CRjSNh7rD/uXnWP7BmfT4ixyYjqFFDOGtMY53VLx194SXtZ9TJdkZMQpkKBq/ML1tQfLUGhouJDQ6fHijT/28170EendrssEJrwCjLwf8LgAqRrQpIQscLn1aCXuW7ijNvjTLkmN1y7piW7pOkhOkBEcjEwi4r/vj57XlT8/y2w9UXUKQgIx2l04UmbB+6sO41iFFX1bx+HKwa2RGa+AVHR8Lov9bM0Y3Bq//luEw2UWv+eY1i8TbRJCO79Gmh/WWuThiV1wzdBs/LmnmC8SYguzWKWNxrYFYdVNPl+fC7OjYd9mViL+uy15uG10+4hk+bVJVOG1ab1QZXXB6/Pxdifxp3BtPBGTzYXl+0p4mXnWXobp3UrPr5ftk08vA1Url6B7hg4vXtiTL8xkAff61VAIORmr24BSxxFsKF8Mq7sK7TUD0V03BjpJit89uFKswMw2F/HS8EaX2e85rmw9FXoJLeogJ082fH3KRORVGbHyUA50cjlGtstGkloFtaxx1xCj3YFXl6+GJ0CCxLEqA7YXFCLtFGIrocKqmXVMT8IbsybDaLXXlsHXKENzDTFUmPHHos346q3fYTU7+PP3H9kJtz59IVIyT28OQCKKh04UD420J7xwQyRQRk1FHYrKhAjrp/7YFefgmS9+9wuws8D641eeE9J+6w6PG4cMFXB7vZBq1Dhr9Ci8M/cdXHbdLLRLToG4ToDdZDRi6nmTcE98PL5+7wMMGzoUWqmMb1KRGD/++CMPfrMgdg2Woc4C0Szz+9ChQzy4PXz48NM61k8//RSVlZW46KKLTuvz4+LieIl4i8X/hupkRo8ezQPwLBOeBdfZgoFAPenJyYlFImTG6fh2uo4UVwYdM1odMNnsSEX4LygMW2CSEhf61y6uNOGGOQtRUmX2y+B/+ovf+QVrbJ/T75HOLiBqKZXOIqfJvR++issAX0221g74HMsA9X2A8jIIhMdvmAUsM119L6C4ED7L54DPAoHiAkA6EAIR9VonJyeXS5CRHoeMyaffB2l9ScOFizVYBrvF7UQCInONl0glSM4KffnefKsB0//6nH9tNQptJly3egEWn3MtesSnnfZzCwQiQBBbpdlIdGBZTBuPVODqeZt4mVRme54B323Nw9wZfXkP0LrBtmStHG9O78PLb3+54SjfN2NQFs+uYmOENGYynm2nO5nPKiz8tit43+b1h8thsrsiE1xnpApAGvqMi9xyC674aGPt7ynDMg8vff9vLJ09HNmJp38NYL/jFFQnp8Pm8uDnHYV46LudtfvYNeSrDUcx//rBPNBeF2tn8eV1g7AhpwKLt+bz39OZQ1rzvwdURpo0tn8827qmn14gzWR384z1YNjCL1aJp7HB+lBjfd+bovf7trwq3PH1Nv99x6qqq8DcNpRnzp9Ju4cTtXwgJBibx4S/yxZiQ8XxxI9C+35sKv8eV2W/hgSZf7WTdEUyXurxADZX7sTmip2Il+owIW0kUuSJPPhOyMkkqlR8651xenMvVqcTG49WJ9sF8se+QxjfObzti+vSKeV8CyWPx4tVP2/Hhy8sqd3Hqi9uWrEXj1/7EV744kbEJ5/+4hahUAbhidqXRgAF10OIZd6+MGsiKkxW3mOdlYJnmbGhDKx7fV6UWC08sF7j4ZdewMzzJmPiqNF45qmnMaBvX7jdbvz+++945513eGb6e++9xwPML9z7AG6//XaYtVr8+eefuO+++3DxxRdj2rRpDTK/WUCdfe4DDzzQqGOzWq0oKirir81Kuy9evBhz5szBzTffzIPdJ8OOkZV4Z73W27VrB7vdjs8++wy7du3CW2+95ffYkpISPl5XQkICJBJJbfCRlbd//fXXeXCfHQc5MfbHrtBgwp7iUhwsLefZ6Z2Sk5CmO/PAs+4kq59YxngoWJxOlJkt2JSbD5vLhYGtM/lqs1PpDR8qe4+V+AXW6/rf4tXo1TYdiTpa8EHCy+ethM/4WJ3Aeh3mVwH5uUCd4HpNr2awTdIb8HkgEFJAhDTkdntQWmrC7j35KC42oGvXDGRmxiMx4cyvIUny4EEAuUjMq/GEgslk59n123Yc5SVue/XMQnycCur/yr6H83r889HdfoH12jEAc3auxP+GTKVFViTsSkx23P3Ndr+AHf+59AH3f7sDS+8agQy9/3suFkQfq5VjWIfqRSiyELVMIM2LzelGicmB9YfKeRbe4HbxyIxT8szDM8F6gidrgv8Nj1NKeaWuUKiwOHiG/MacCmhkYgzIjkeyRhawp2FTsjrdmLviUIPfU8bh9uLrjcdw37hOPGuFkHAqMznwxA+7Av5c3vvtdiy4cTCS6v2+pukVmNInA+O7s/LXFJQjwTOti00OrDlQCpfXh+HtE5Gqa3yGejBsIRELzgcTr5KGLFDMWnewag5bj1UhVStDr1Z6pGjkp1Vp5ExUmB148de9AcfKLU6+2OXCMwiuE3K6zK4Kv8B6DbvXjL+KP8LkjPsgE/nPsSbLEzAxbRTGJp8FkUDkl4xISI0qiw3FVWas35/Lq8OyEumJWhXU8jO7DxEKBIhTyFFsDpwwmqIJXcJDkcWEQ1UV2FtRija6OHSJT0KaShP27O6KEiO+eOO3gGNHDxaj8Gj5GQXXoxEF10OMBdJDGUyvj/WJMzj8+xRktmmNr/9chg/mvIkH7r8fJUVFSEpKQr9+/XhwnWEBdJbB/dxzz/GgOQtMd+jQAY888ghmz57d4Jdt2LBh6NSpEy+rftVVVzXq2D744AO+SaVSHuhmr79gwQIeLG+MgQMHYs2aNbjppptQUFAAtVrN+61///33GDlypN9j2bHVt379egwePLj246uvvhpPPPEEf45BgwY16hhasv0l5Zj5+beotB1ftMDKnXx25cVom3hmpTszEnW8nznLUq+vf8dMxGnOPPhtsjvw8669ePKXv3jwocak7p3x4DkjkKgObyB7+6GCoGPHSg1wuBuWFiOkyXkNgGtHkEEf4NoGiAP3yOUl4KkMPAkSWP93Vz4efPgbOJ3H/7a1aZ2AF56bhpSU0698wpyV0hoigSBgOa1LsnsjMQQl4asMVnw1fz0WLtrkt/+qK4biwqn9odWGb5EWq1C0sbQ6yzcQViKfBd6pggkJNzapGqxvs8nhRonR3iC4XoOC6uREweDfdxXjrm+2oW48+Kx2CZhzaW9ewvd0sYVSrFrCVxsD/029fnhbJGrOPPuh1GTHI4v/xbLd1f0UGVbu9tWLe+LcbqlhzYy3ONzYfqwq6PimI5WwOj3QKii4TsLrcKmZt2MIOFZmQaXV1SC4XkMuoalLEliV1YlP1x3BnD8O+O2f1j8T94/rfEZ/47UKCW4c0ZYvmgrk+hFteXnzM8V6m9/4+WbsyDfW7pNLhJh39QD0bx0f1gA7W+yyu/D4cdT39+FyXNi3YR9iQpraIbP/fXpdB82bYPeYGwTXa8hEkakuQaJfucmC135YjSX/7PHbP/v8Ybh4SA9ozyCzm8UhZg7si5f/Wh1w/IIeXRAKucZKXP7LN8gzH//brZfJ8fXES9ElIRnhZLc6YawMkMz1n5y9hejWPxvNCb1DjUENp5aBpNQUPPzS80iUK5GuDrwChAXVly5d2ujX2bs38GpFZsWKFSf8+HT06dMHn3/++QkfM2rUKJ7R1RiZmZm85zs5uRKTGbd884NfYJ0pNVswe9HPmHfFRUhQnf7q1CS9Gm/eOgU3v7kI9jqBl7R4DW+ncCYXqxoFBiOe+OWvBvt/+ncvhrbNwtRe3RBOrVOCl0DWq+S1WTKsxGphhREb9x7FriNF6NI6BYO7tOaVMFjJekJC6yR/P32BJ7wIOZGyMjMefvRbv8A6cyS3HO++vxz33zsRCsXp39CmKDT435ALccf67/wC7N3jUnFTlyG8zc2ZOnCgqEFgnfnsi7Xo27c1evYIfdneYCRCEdpo4rGq6HDA8XSVtrYvKQvEF1qN+DN/P3JMFRiU3Br9EjORrjqzBQ2EBHKyt+CNe4dOiD+W7T37m20Nfr7WHSrHgk1HceuoM+tn2ypeyfvuPv+L/6TZ2V2ScXbXM59wYvemP+0o9AusMyxz/O5vt+P3TP1pl7U/HawXOlvkcqQ88MRW6wQlfwzD+ggXGWxYsqOQZxWP7ZKCLmlanvFJSKixvtAn0shpHkL8HC61NAisM99szsOYzskY3/30WynV9Bq/bGArzN94zG//dcOy0TlVE5LKLW/8sd8vsM7YXV5c88km/H7XSH4dCxeRSIB0nQL5Vf5JXTXqXs/Ywgb2uB+3FcDu8mBijzS0TVIFXSRDyJnwnfBO48SjhASzYf+xBoF15o0lazCwQyt0z0o9o8z1yd07Y23OUazN8W91+NT4MUgPQb/1SrsNd634xS+wzlQ57Lhm2Xf4fvIMpKrC14ZXKhPzzekInFCY2up48mZVuQkFueVY9dM2iCRCjJzUB6mZ8dDGxVaVXwquxxiWuaWTyfkvSSBsZQohp6rcYkVeVeDVqftKylBhsZ5RcJ0Fibu1TsW3j12F7YcLcLS4Ej3apqF9emJI+p2zSa0FW473bqvv/XWbMbxdm7Bmr/fv2IqvsLe7Gl5Qrjqnf21J+P15pbh+zrew2P8r/7v2XyhkErw/+2J0a0M9rUmICXSAuAvgbvjmkZP2oVNOTllODmvV4go4tnrNPlx/3agzCq7LxRKMSmuH3yfchHXFR1BqN2NIchu01sQjWXHmAQuLxYGvF/wddHzBtxvRsUMa7x8fDuyaeVm7vvj8wOaAkwS3dx2OOJkSTp7hnovrVn0D938LY+Yf3srL6M8fcwWyNQlhOV7SciSopLwEaoWlYcsCpVTEy5cScqp+3VkYNKj28dojmNY/64yCvSzzkAVGxnZJxop9JbA4PBjVKYkHoBPOsOw8w6o5fLAq8GIo9nV9vzUf945rWHWtqbD+u7eNaY+1h8oDjs8als3LGFvsbvy0o8Cv//UXG47ywMln1w7k/a4JCaV2SWreqoFVY6wvK16JOGV43meR5sPh9uDjtTlBx99deRiD2yacUXl4dp14YHxn3lv9zz0lfE6WBe2TtbKQ9FpnVYEWbw1c9ZAF2HfmVYU1uM5aqdw6uh0eXvxvgzGJSIBzu1bPUVVanJi74iA+WH38/H+6PhdD2yVizqW9eFsgQkKpnbo/VpTMCzjWRtUHclH4FjKS5qHSbMW8vzYHHZ+/ehuemn4OxP8lNpyOZLUar04eh3yDCasOHYFWLsOIdm2QpFJBJTvza0iF3Yp/SgJfQwotJhRbLWENrsclaTD+0kH48bO1DcY0eiWyOqTUlo//v8e/w7plx6813324in/uzHsnQJ8QO7/PlBYZY9iEa4pCzd/Q1aeTymszmaLR888/z0u9B9omTJgQ6cNr0azOwEGRGvYQlDBnff1YefiJA7vgpklnYWi37JAE1hm314sCgynoOFsc4PGGNyM3JU6NuXdcCE29fvPnDeyMSUO68t/lUoMZ977/0/HA+n9sDhffH6xnOyGnSyCKh0D3LIuiNxxU3QwIKRhHTl3FCco+seocbteZV5FhAXYWTL+sfV/c0X0EBiRnhSSwzjhdblRUBO6DxVRWWOAKsFCqKWWqdHhryIW8p3zdlc+3dR2GvokZ/OMSuxm3rF1UG1ivwRYfPLTpZ1TVayNEyJliE6UvXdQTgVq3PTulO5I0VHKRnLoiQ+BF44zB5jpptmtjA84ssDdrWFvcMbYDembqQxJYr8lQLzc3XHBSIy9I9l9TYtnnLFuflaavIRUJ8crFPXnmOlNssvsF1mscLDFj7vKDPGhFSCix8twPTezcYD8LuL98cU8KxpFT5nR7URKkXQ1TbnHA5TnzawgLondO1eLW0e1x06h26JiqCUlgveZrCNYugSk6wdfXVFg7kysG+VftUsvEvEx9ur46aJ5TZvELrNdYe6gMv+0qCtuxkpZDI05Eb33D2IFUqMDZKTdAHqQkPCHBuD1eVFqCz2WVmSxwneDvc2MlqFTomZ6K24YPxlUD+qBNfFxIAuuM7STxGpMz+H1WU5DKJJh28xgMGO3/fk+fqMYLn9+IpDQ9/3jH34f8Aus1li7YgJy9wdvsRiPKXI9BLIDeXp/ASz8YnXYIBUIkKVRQSiQQC6M3uM56qU+bNi3gmEJBK+MjiWV0s0n7QJNX7OdNH+XfH4lIhNEds7H8QOCskX6tMqCWhWYCrbHYyrbu2Wn4+pErUFBm4P3ms1PjEa9RQquqviGpNNlQUB64YkBxpRmVJiuS9bGzWovECHFnCBJ/gs8yD3BuAkTJEKhuBCRdIBCGb0UjaT46/rf6NJDEBDUUIZp8aipqlQx9+7RG7tHAWX79+rWBMsxfg1IsxdiMDvhtwo283DvLUm+vTUSCXAW1pPp6xvZb3YEXx20qPYZKpxV6WXRfv0lsYYG6oe0T8PPtw3m20p5CE9onq3DLqPa8DKhUHL33ISR6je6czDOmA+mTpYfivxLm0UopE6Fvaz3+Phy4J+/YzuHtdciwoA8LjIzvlsKD5ex3t22SGkkaWW1J+L/2lgT9/G//ycMto9tT9joJKdab+uJ+rdAjQ8+vIccqbLzk9o0j26J1GDNzSfOhkooxplNy0J7ow9olQiOP7mlvlVTMK6kEK8Pep1V1ICKcEtUy3D++M64dls2vIWq5mP+Osqx21v+dBaQ+//tI0M+ft/YIL8fPrjmEhIpCrMGI5KvQQTMIf5cvhNVtQFt1P/SLPx86SfD5CEKCUStkvPT7ks2B2yKP7NqWV6SNZqy6NUvIsHsCB9mDtY5uSgkpOtz76mWoLDUh/0gpdHFqJGfGITFVB4FAAGOVBYs/XhX087//eDW69G0D+RlUvwyn6P4JaWZY5qyHZxcJeOb56fZTZj+IMpEYyUo1EhXsJkRQ2785msXHx/ONRB9W8v2yfj3x5ebtDcauO6s/ksJYTv108bLvKiXK6q06Y78bd44aErJVYaearZ8Wr+VbIK6TZIQ4KWOE1OHzVgA+9vMt4hnmAsHp/UwLBBJAnA1oHgF8ZkAgg0BIizjI6UtK0qJP7yxs3dYwOHLjjaN5gD2aSSRiTJ3SH78s3QFHvd5QLKg+YVxPiCJQGYj1ks9U6fl2OquQXV7KOiTHlZrsvLyoWCRAslp22j2sWXCka7qWZxlanR4e+FTJ6JaSnL5u6Vq0SVA26BHOKiQ8OrEr4lTRPbGiU0jx0IQumDp3LepXu07TydGvdVxEjkspEyOLbQmB7+MqrcErlzncXl55hpCaFmwsO5hl2LKWAskaGZ+TOh06hQQDs+PRNb0PvyaxbNiaBR+EnCqhUIDzeqbhvVWHGvxNk0uEuH5E26j/+UrRyfHIeV1wy5dbGoz1ytQhMy4yC2VZSxW2sYVZgSq2VFmDZ0uaHO6QVJ0hzYPH4+UZwKziqFwsRoL29OeXVWId2msGIlPZDR6fC3KhCiIhtRQhp0chleC6swdh2bYDDebf49UKjOre7rTf74RLslKFm3sNwpwtDcuwT23XFQnyyCxe1Map+Na6Y8N2tx63FxZT8Lksi8nGHxMroj8i2wy4vR7Y3C7kmqqwt7IM+ypLkW8xwhFkVUljsUxjlqkeC4F1Et3UMiluGTEI944dBr1CXhtwf2z8aFw5oHfUr9Ri0nVafHn1NIxqn42aS1/nlCR8MfMStEmIzKTWycSpFZAFudmTiEU8y50Qr7sMPsdG+Cquh690DHxl4+EzvQKf58zKrQmEMghECRRYJ2dMr1fioQcn4eKLBtT2JU9L1eHJx6diYP/ovyFh0tL0eOvNK9GtW3XJdaZ3ryy+LzU1/BkjjdFJHzwbMlmuhlZCvQ4JUFhlxdJ/CzH9/b8x/OXlmPDmaryz8hAPtp8JFmRnmU0UWCdnKlWnwJfXDcKFfTJ4P1emc6oG868fjM5psVFRp2OKGl9dP5j/l2HV2Md1S8XXNwyO2uxv1nc+GFYxgH63CZNXacWXG47igrfX8mvIlP9bi282H0OF5cxKVatlEn4NifbAJ4l+rB/5opvPwphOSbVtawZlx+G7m4ciK0YqIrCqQHNn9K0NpMvEQlw2oBXevbIfkjTR936ezWGd3zMt6PjoTknQRnnFANL02CK9gnID3l+2ARe98jkmPPMxrvm/b7Fq12Fe2fNMsBLwKrGeAuvkjGUl6PD5ndPROzutNtY2qntbfHrHpUgPkigXTVjy7ZVdeuPJIWMQL6++hqglUtzeezAeHjSSZ7ZHG7VOicFndws6PnRCTyhD1L4rHAQ+tgy1hTAajdDpdDAYDNBq/X9B7HY7cnJykJ2dDblcHtLAusPjQY6hAvXXXEiEQrTTxfPMJELOVCh+hll1hRKzha/YkolFSNao+YUllpjsDlTZbPD4fNDIZHyRQLRyuNz4evk2vLl4dYOxmycNwZVn94dcKo7av5stTSTOhc9TBrh2wld1M7s98R8Ud4Ug7n0IROEvN0pIIKwveUWlBW63F3KZBAlRnrEeiNFog8ls54u0NBo5NJroDIowBqcNz2/9AwuP7Ggw9taQqZjQqkvEFzbQNSSy56LEaOd9Lx/7YVeDsfN6pPE+6dGeFUxaDqvTjQqLk2fEscAuC7zFmjKTg2fssTLs8SoJDyBGq1KTA7d88Q825Vb67WfHvuimIeidFfnFyXQNiex5yKuwYt66HHy0pmH55zvHdsBNI9tCEeF7VUJqmOwuVFldvNICy7gOVU/0cCo22vm1UCISRv3ik4IqGy59fz1v71CXUirCz3cMQ3ZiZO8D6foR2XPBfg9ziyrw2pI1WLm7YfvOl66cgPF9OkX8XpWQGgaLHUabnVdE0SvlUMlj6z6Ex3OsFtg8rupq1woVb6EbrQqPluOOC96A2eB/DYlP1mLOotuRnBEXM3836Z1wE3N6PCi3WxsE1hmX1wuTy4kECq6TKMFaFaRpYyNDJBiNXMa3WCCTiHHBWd2QnqDF//24FkdLqtAqSYebJ52FQV2yIh5YJ5HlY21E3PvgM7/dMLDOuHcD7hzeM52QaCmvnpKsQyzTahV8iwU6qQL39RqDbvGpeHfPehTbTOiqT8GDvcaiZ3waTVa0cGxydm+REf/782DA8Z93FmL22R0ouE6iBquGwLZYlqiR8S0WsF64b13eF19tPIpP1x2B0e7CoOx4PDyxCzqmxPb9IDlzLDM9p9yCz9bnBhx/Z8UhXNwvE63iY/t3ljQfGrmEb7EsRRt9GYbBsKosrMLMe6sOY+HmPDg9XpzdJQX3jeuIrPjobytJmlZJhQn55caAgXXm1R9WoW/bDKTo6f0GiQ46lZxvMR3PUcfO71Nqq3jM+e4OfDHnN6z9bSdf1DB6Sl9Mv3lsxAPrp4reCTch1k+EBdctLmfQxxgddsTJ5BAKqLQ7IS2RXq3AOf06om+HDLg8rBeqEIln0IOINCPeMsBnA9w7gz7E51gFgWxQWA+LEBI9EuUqXNm+P8ZnduYVW6RCccT6apHoUm52wmz3oNQcvOzinkIjOlAQjZAWK1Unxx1j2uPygVm8Py7LOIzFbE8SeuUWJ4w2N1yewIUuWSCt3OLgJbkJIS1TZpwSj53XFbeMbMc/1irEUEVxxRYSPhUGKw4VlwcdLzVaYLI7kULfFEJaJIFAgMzsJMx+8RLMeuj86sqRcUrI5LF3H0LB9SYug+L2eSESCOAK9g0QCiGo7RBNCGmpEiigThrwVAfXBUrAZw18fkQJdN4IaeHYjUmyInZWKZPwYIEP8X/9q4PRKWkClJCWji3sZUF2QuqyuzyQnOQawtrIEUJaNqlYiDR9bFT9IuFjMNqgUQR/b8GqwUujuGQ1ISQ85EoZ32IZpUs3cUkGlkWklwV/o8Gyi6jHCCHh5fX6UFpmwtG8ChQVG+BwuulbQKKQAj7XAUA+Kci4AALZmDAfEyHE4/OgylmKUns+/6/HS9cQEn1UUhH2FZlwVruEoOPtkiLbD5OQlsjh9iCv0orDpWYUGmz8voSQaKNXSHn2eqv4wHNZrROUSFDFXnYRIbHO4nDjWEX1NaTEaI/04RASUGqSFjqZDApp4IW8Qzq1RpyaFmUQEm5ujxE211FYXTlweoJXlyAtILj+4osv8qD07NmzEU0MNjsOl1Vge34hjpRXQuwTQiIUQSNpeOORrFBBGqJ+60VFRbj99tvRtm1byGQytGrVCpMmTcKff/5Z+5h169Zh4sSJiIuLg1wuR48ePfD666/D4/Hw8UWLFkEkEiE/Pz/ga3To0AF33303//eoUaP8zj37mH0/2MZePyMjg7/+d999d8pfy/Lly/lxJiQkQKlUomvXrrjnnntqj2vFihW1r8W2pKQk/vidO/1LJ1999dWYMmUK/3fdxwfannzyyVM+ThKbDEYrlv6xEzfc+RmuvOFDXHnjR5j7wV8oKzdF+tAI8SMQ6SGQj6kOoIu71Ds7Agi0LwJC6rdOSDiZXVVYVfId3tp/F97Yfzv+t/8urChdxPcTEm19O9slq3DTyHbIqJdRJBML8f5V/ZEaQ709CWkOio12PPfzHox9bSXGvLYSk99aiwWbj6HSEryNHCGRkKSRwepw46nJ3Xmp57rYx3Nn9EUyXUMICSu2MOuBRTsw6tUV/Bpy8bvr8eeeYpjswWqlEhIZ8Tol9u4vwpMXnw1JvQz1tDgNHrloDDSK2M5WJSTWWJ2Hsbv0dmzOH4N/8s/Bv0UzYbRvhcdL9yEtriz8pk2b8N5776Fnz56IJoUGEx5dsgxrDh+t3TesbWs8ff7Z0MnkiJcref91FszVy+Q86M7Kwp+pI0eOYOjQodDr9XjllVd40NzlcuG3337Drbfeir1792Lx4sWYNm0arrnmGh68Zo/9448/cP/992P9+vX45ptvMHnyZB7Q/vTTT/Hwww/7vcaqVatw8OBBzJo1K+hxXH/99Xj66afhdruRl5fHX3P69Ok8yP3+++836mth39dbbrkFM2fO5MH+Nm3a4OjRo/jss8/w2muv8cUANfbt2wetVouCggLcd999OO+88/gxSqUNFzIUFhbW/nvBggV4/PHH+efXUKspc6cl8Hi8WLlmP157e1ntPqfTje9/3obcvAo8+cAk6PXU75xEEXFHwLULAtUNbI0hfK5tgCARAvm5gCgDAiH1OSQkXBweO5aXLMTf5b8c3+e14q/iBbC4DBiXdiVkIlqBT6IDu98Y2j4Jm3LK8fj5XVBucfEe620SlBjdORmZ8QpeDpoQEh4VFgfu+WYb1hw8niVSanbgoe92wuXxYsbALIjod5JECblEhCl9MrBiXwnmTOuN3HIrcsos6JauxeC2CTxznRASPkUGO674cAOOlB9vF3e0wopZn27GF7MGYliHJPp2kKihVSswbXwfrNp8EP+bOQm7C0pQZrKgX7sMdMtKRUaCLtKHSEiLYnflYXvRpXB7K2v3WVx7saPoMvRJ/wEqaaeIHl8si7ngutlsxowZM/DBBx/g2WefRTRlrNcPrDNrDufi8SV/4NWpEyCXiaEUSyAUCHjJ+FBhwWg2gbZx40aoVMcDg926dcO1114Li8XCA9+TJk/G/73zDh9jQf3rrrsOKSkpPKjOguuXXnoprrzySnzyyScNgusff/wxBg0axJ8zGJZlnpqayv+dmZmJwYMHo3PnzvwYWGD/7LPPPuHXwQLyd9xxB9/mzJlTu58F2EeMGIGqKv+ssOTkZL5IgL0my6JnXwdbSBBo0UXNcTE6nY6fr7r7SMtQXmHGh5+tDji2dftRlJabKbhOogoPnssGwOcp433XBdKzAIEaAmH4A3g+rwXwmQFIIBDFh/31CYk0i7sKG8uXBhzbVLEMQ5MmU3CdRBWdQoKzu6aiyGCD0+PDOV2ToZVLIJOEv8eh0eaCzemBTCKEXkmlhEnLU2x0+AXW63pt2X6c3SUF6dS3lkSRBLUMU/pk8tLTHVLUUErF/LoiicAikCqrEw6XFwqpCFpF4DLDhDRn+4qNfoH1up5eshtfXT8YiWrKBCbRIzFOjUmjeqDcYEHb1ATI2TVEo4BQKAj7sVRYrHB5vVDLpFAFSMgjpLkrt/7hF1iv4YMbuVVvo1PiixAJKdmwRQTXWSY2y1BmgdqTBdcdDgffahiNxiY7rnKLtUFgvW6AvdJqQ5wy9MGQiooKLF26FM8995xfYL0GCz6z0uzl5eW4+pabcNBQzoP7rNe7Tirnpds7duyI+fPn8+A6y0xn2eEsU50FtGsWNCxcuNAv4N1YLAOdlXRnxzB6zBi4fV54fT4IIeAB/rqLDL799ls4nU6eTR8I+1oCMRgM+Prrr/m/A2WtE1LDanXCYLQFPSE5uWXo0C6lUSeMZbyXlJmwet0BHMuvQN9eWejRNRMpyVo64c1EOK8hJyMQJUbstX0+J+A+Ap/5/wDXJkCYAKiuB6RnhfW4fF4j4C3niwwg0ADCRMrcJ2Fl8ZjghTfgGNtvdRuRIGvcwj2zy4EiqwlLju1Cqc2MszM6oos+BalKuoY0F9F0DUnVKSLaG3R/sQmv/74fewtNyIxT4M6zO6B3K31Yg+wsa5j1D2bBGb1SgiS1LCKLDEjLdaA4eAsqg80Fk919SoHGvEobfthWAJvLjfN7pqNdkgpJGmr10BxE0/VDJBQgLYKLPtjP+rZjVXjzjwP8Z75zmgZ3n9MRHVI0UMvCN53JFhhUWp1we32IU0qRopFRpQkSVusPBe+Nu7/YDLuzut1nY5SZHThSZsGP2wogFgswpXcGMuOUiFfRfGpzEE3XEIlEhNTEyN3fllmsWH/kKN5ftwnlVisGtMrArcMGo018HKTi8NwH+Hw+lBcbYay08I+1cSokpGh50h8h4eDx2lFpXxV03OjYDLfX3OjgusNdAotzL8qtyyARxSFJNQkyURrEIg1aopgKrrMA6pYtW3hZ+MZ44YUX8NRTTyEcTHUuXKczfrpYGXT2h5pliAez57/y5/FtsvhKLabAYoLBYUeWRs8/d//+/Xw/62/OMs5ZpnpNcJ1ltbPXYCXeT5VQKOTB+5ycHP6aVQ4bfP+NaaUypKu0kP7Xf+XAgQO8zHtaWprfc3i9Xrg9XjhcHvjgg8vtqc2OZ1hmPsMy1090Hkj0MdscqDBZYbI5oJJJEa9RQqtqukkhqUzMV0l6vTU/hf7iG1kS3uV2Y8v2XDz89GJeap75+bcdiI9T4X8vX4ZWGZTV2xyE8xoS1Vx74Ku4nP2j+mNvGXyGewH5VEDzEO8N39R8ngL4DI8BzprKE2JAcTGgvh0CUdJJg5jldgv2G0ohForQXpuIJLkKcjFlvcQ6o8mGqkorbDYn1GoZ4uJUUCqbLmNDKjzxhJNE2LjXZj+TP+buwmP//Fq77+vD29Bek4B5Iy9DuorK5DUHdA1h7+F9WH2gFDd9scWvDPbV8zbhgfGdMPOsNjwTsqnllJlxx/xt2Jlv4B/LJULcNro9Lh/YGvHqE/9eG6xOlJmd2Fds4tmS2QlKJGvkkIippH6sKzc7UG52wu728GBZoloKRRP+PLIe1sGwJC72c9kYrD/728sP4qM1ObX7vvj7KIa2S8Trl/ZCCvXBjnl0/ahmdbrx9cajeHHp8XZ+pQccWH2gDO9e0Rfndk1t8gxIj9eH3QUG3D5/a23WMMvef2JSV5zTJQWak2TRs4VdrGrF4VIzEjUyZMUpkaqTU1ClGSg22lFhcfK2HgkqKZK1sga9pUMpIy54KwaNTMwXwjR2ocjDi3fijz0ltfs+XnMElw5ohfvHdeIVK0hso2tItSqbDa8uX43vduyuPTe/7j2AP/Yf+n/2zgLMreJr4+/GXdfd6u6uSIEKBSpIoVhLcSnuf9zhwylaqNBSaKFQnBaq1N193eOe7PfMLLvdbJLtdi03u/PjuU/JTDa5ubm5c2fec96DRddOQ68kf+2hJXA63Ni75TjeeGAJyourghyIsH7fq1eie/8MiCRnGUPKLCgpMaGwwIjYOBXd9Pr2KWC2JXyVPpS7jDC5iTNoJVRCJbQiNfhRLTO/jIoSQMQPfb6L+NH0OQ3B6SnEvqLZsLrP/K5yjB8gXfMQEpRXtkuBPWLE9ZycHNx99934/fffIZE0THx75JFHcN999/lFa6WkpLTI/inF4ib1NxYieteH1+eji7j/Pdmvz+pxw+ENjJAnNu733nsv3nnnHSiVSiq0T506lf5/YyCZ6i6fFxVO/4xhk8sJX6WRCvwki518lrqRW2T/zTYnCspNNbufV1q1MLZ6zd9QKRXYtGkTXnjhBXz44YeN2j9GeCgxWPDWd//gl62Har7bgZ1S8PR1FyJe1zKRjRq1DCOGdMDf66uCSWpDhJmUZG2DXqeszIonX/i+RlivprzCilff/gXPP34ZlEpWdzfSac0xhKtU+spRaXrqjLBeG8dyQH4j0MLieqW3DJUVdwGe3bVaPYD9a1RGCQHFA4jiBb8vIOPOV0e24J396+hYRBDx+Hi+/yW4MLkTFEK2eBCpFBUb8cqrP2HHzirXILK4OnZMV9wyawz0ekWLvKecr0asOBXFzkCnohhxEuSChonixXaLn7BezVFzGT46uBGP9j4fYn7E3KIzQsDGkKqF58eW7w16fEgm+/ieiUjVtey5XmCw46p5/6LQ5Khpc7h9eO23w9DKRbh6YGpIkaPE7MTLPx/Esu25NW1yER/zruuPAemtl/HCaH6I0HX7ou04UFCVTS7i83DTiAzcPDyjxYSFNL2cuiYYbIH3VMQSXi9v2PseL7X6CevVrD9Wit/3F2HG4LRm2V9G+GDjRxWlZide/z1w3k4gY0uvZE2LZ9XnGWyYPm8TbLWygonTxH1Ld2HxrMEYkqUP+bekJAt53oZaGcckiGf+jQPRNYFlLUYqJOBiX74Rty3cTt0Uqu8NHrmkCyb2SqTBFy3ByA7REPCiqHtCXUiwIgneaAjkfKwtrFezZEsOJvVKxLBsNj+OdNgYUkWR2eonrFdDkg6f/vUvfHbl5S3iMFybglOlePLGT+GrtXZMstifuOETvP/TfUjrGNr1rqDAgMcfXopTJ0tr2pKSdXjxlelITGrY2jWDezi9Luw3HcHbR+f/J64DKoECt2XPQA91Z0j4ze8gwosSIFF5DYosS4L2J6tugYgf+n6mGl+lG/mmr/yE9WpOGl6GTjaqXYrrERNyv23bNhQXF6Nv374QCAR0+/vvv/H222/T//d6Ay1wxGIxzYSuvbUUerkMwzODT2RJO+lvCTp06EAXhEit8WB4KysRn161X8cPHwnoJ5nkBw4coNnl1VRnqJOMdZJNvn79emoX3xjI93L0yBHE/pdlXheLm1hrVX13ZB+IxXtBQUFNP8lSzy87I6zXJiEpGZ06daLW86R+PLG1Z0QGNocL76xYh5+3nBHWCZsP5eDhT1bRbPaWQCYV4fZZY5CZHh3Q/uozUxHdwAjAUzllcDqDWzfu2pMLQz3W84zIoTXHEM7iMwOewBunaipd/7bCPhTXEdZrYfsa8JWE/NO9Ffn4v31ra4R1Agn2emDzSpy2GFpibxmtgMFgxf+eWV4jrFdnyP7x5z58+vnfNJO9JVAINbg67QGohP4TD6VAi2vSHoJS2LBAk7/yA+/HqvnmxC6UOasceRiRDRtDgAqbm1qxB8PtrUROecvc79WGZJzXFtZr89YfR2gAQDDINeXH3fl+wjrB6vLihs+3oMAY/O8Y3IcGXHy8qUZYJ7i8Pnyw5hiW78ijwklLEK+SYP4NA6GS+AeUdIxT0CxYRZ32YBA3ty83ngzZ//n6Eygxs3Mz0mHjRxVEuCRjRTDI2EJs2luaX/cV+QnrtXnl14PUSSIYpFzDm78f9hPWCcQJ5dpPN7MxJIIhARdXzttUI6xX3xs8vmIvdpwOrGfbnGPIvGv70WCw2gzPjsa1Q9IgrNMeDHK+BgvOquazdSfoucuIbNgYUsXm0/738LXZV1gMk6Nl75ecDheWfbzGT1ivhrQt//wfuJzuEOVvbXjx2e/9hHVCXm45nn7iW1T8ZzHPiDyKHKV44cD7NcI6weSx4OWDH6HQERj41FxIBCnI0j0dIAXHK6ZBIx3SoNdwe8tQaFkcsr/EuhLtkYhJiznvvPOwZ88ev7YbbriB2oA/9NBD4Leg/U5DUEsleG7CBXj8x99pjfXawvrzEy6g/S2BTqfDuHHj8N577+Guu+4KqLtuNBgwdPQoqLVafPn+h+g9cIBf/x+rfqYC+rPPPlvTRjLUSaY6yVg/duwYFb1HjBjRqP2bP38+KioqcN7E8SGf4/nPqn7KlCl4+OGH8corr9D67iSTvdx85obVZDRCpT6TFVZmsiEh1kdrXd1+++3U+mb58uW47LLLGrWvjNaDiOc/bwkeELL7RAHtJxbxLUFcrBqvPTcN+YUGHDlWTGukZ2XEIEavbHDdNKut/jIPHk/wmrwMRuRBfhMkoy/4wlZUVCvU9vSeCbgKxA1UBp9YGF0OvLNvXci/JBntz/S/GEIeyzyMNIhLyMFDhUH7fv9jH2ZcPRRSacvUDIyRJGFO9ksoceShxJlLM9ZjxMlQi84e6VtNhSt0AJbT6/ELBmEwIpmzWZTWXSBuCfblha4zSTLTHSHu2Yh9/ftrjgXtI0LsmkMlmDm0YeWEGNzicLGZ2jQHg3zn43sktEg2LHFY6ZGkxqq7R+BQoRk5FTZ0S1QjTSdDbAOt3EnGojFI5ns1pG57C8UGMBitztnKb/B5LTuGkCCrrSdDi6VHSJ3r/0oW1qXU7MJ3O/KC9hErceJAkRjGWvaMxvPH/uKQARev/noIPZPV0DXQieRcEAv5GN4hGn/OHYVduQZ6HvVN1SJBLWmw4wpZe7WESBIhmBxueEhAC6uexmgDiOtxmCIzFF4L1zx32Fw4tj8/ZP/RPbn0OSJx4A/OYLBh/77gY8jxY8W0NB4piceILFw+N1bm/wlfkPVVUgb5+7zfMSfrGohbIHudZJTHKi6DVjoCJuc2+HwOqCQDIOLHQNhAN1Kyjx5f6MAOt7d9JjBFjLhOBN/u3bv7tREhWa/XB7SHiwS1Em9cfgnKrDZaY51YwZOM9ZYS1qshwvqwYcMwcOBAPPPMM+jZsyc8Hg+10P/ggw/w19bNeOK1V/DQ7Dl45r77ceVNN0KuVOLff9bi7Weeo6L2tGnT/F6TZKoTQZ1ktZPghYZgs9lQWFhI3zs3N5cK3UQkn33LLRg4fNhZJ0XEbpk8/4477qD2y9fMmAGxUocTp07jh2+/gUwuw4OP/88vq50sQJPhUiaTYdasWXjqqacwefJkVsOK41jsrnqzQsqMVmQn+meXNyd6nYJuPboGd1Q4G1kZsSH7ovUKKFpgMsVghAWeBhCNAFz/BOmMAkQDW2Ef6qupzgOiggfiOL1uFNhCiyqnLBVUyGTieuRRWnomyrcupFyHrYUzmdRCPd2ylT0b9fejE7Lw4YENQfv66om9fMsEBjAYrY1WJkS6XlZTp7Y2CrEAiZqWD9DKig1dJoJYt4YS+Ml9KhHf67MVZ0QmB2tlrNeFiBWhAi6aS2BP1sro1hgkQj4m9ErEmsPBXXvO6xzbYpbEDEZrk6iW0LEimBhIxhYyxrQk5PfaJUGJX/cFD+hM0UlDjiEOtzdk1j0hv1bWMyNyIAlA206FDrg4VmKB091yYwgpR5Oik9GtMZDSJKQMycdrjwftJ+V6yG+OwWgLDExNDpkmMjIrHRppywY4iaUiJGdE4+TB4MkiSZmxEEuCz/vtZ1nPsFnrT/hicBOH14mTttCOCidtefQ5LSGuEwQ8Od2kwsaVkBJEyaGVDEOFI9j6MKCXXYj2SMTYwkcKREjPjNahV1IC/belhXVCZmYmtm/fjjFjxmDu3Lk02OCCCy7An3/+ScV1vUSGCZddik+WL0NBbh5umDgZlw4Zjq/nfYJHHn0EX3/9dYAYPXz4cGq5TkTu6667rkH78fHHHyMhIQFZWVm4/PLLsX//fixZsgTvv/8+VKLgFwYpsfivFXF822234bfffkNeXh6mXHEFzh8xGE89NBcKpQI3zL7N728lYiGd8FRDRHkSDPDNN9+c4xFktDYyiRD1BQlqWyhrvbnQaWS4+PzgQT133XIeFdgZjLZAFE+JKNVjAE8X2Kd8FOC1XBBMDfw4gJ8RvE98McALnjEsF4jRU5cY8mUHxaRBymcL0JGIThc6SpvcF0hl3Ban0xU69NMHBnfxo6LwRJ8LoRVzewxkMBoKycZ968o+kAj9p5zk9v3N6b0Rq2z5eRLJFFZJgy8UzxqRgbgQNUrFAh616w7FwIzAcZERGXSoJ+CCnCvku+cyQ7P0VNSrC6n5O3tUFhXgGYy2ABkj3prem44ZtSFjyltX9m6w40NTuLR3IoT84AsX957fMWTGsFwsqDfQpWM8Wy+IRMi6KbmvCEWaTg4Rh8cQIZ+PawenBj03ie38BV1iWaISo80QI5fjsQtGB7TrZFI8ev4oKCUtmxQlkYow9ZaxIfunzBoFcYhxQqmS+ukdtSFr6WrmfBKRkHrqydL4kP1J0vgWqbneXAj4KqTrHkQUAvdRLuoGuagT2iNRlST0rp1AhGK1Wk3retetnetwOHDixAlkZGRAImkFm9tWxuX1wuZ2UStSfhSPCu5iPh+Cc7DD9VX6qI2Q0+ulVhBivgCCKF6D7LjI++dYDLC63X7CeppSAxE/dGSky+3B8YLyoBapmQk6SERMGInEc9hid+J/C37Hn9sD6852So7Bu3deBr2K2xY3pMbNmnWHsHDpJpSWW9AhKw633jQanbLjIf8vc93l9qLcbKX1EUkwSDTHP9O5XjfbG+35WFR68wDHalQ61wC8eETJrwb4yYjiNfw4VPosgK8c8BwFooRVgjk/BlFRZ5/UVHpOo7LiFsBby6JXNAJR6ucRxQ99c3rAUIRLf/sU3jpjiEwgxI/jZiFNoW3w/jO4df194KGvcfxEYObemNFdMPfeiyHjuMBeZDfj62M78OWRrTC5HRgYk4pHep2HbHU0JP8FfTgcbmoJR27VyedRqyNPdG/P1826tNdjQe6B8gx2fL8zD9tOGaiwOX1gCs3clZ6DCGi0u1FqceJYsQVKiRCpOiniVBIIzmItT34/+wtMuOmLrTW118mi1PR+KZg7rhNiQojrhDWHinH951sC2mOVYqy4fRiz9I1Q8g12THxnHa3ZXJf7L+yIOaOyznpehZu8Cjvm/XMM32zLhcvjwwVd43D/hZ2QHi2vKcdgJmPIfxbyREhRRWBGe3u9btalPR8Hu9uL3AoblmzOwZFiC/qlaXBp7yQkaaTn9DsttzpRbHLiVLkN0QoR/ft49dmzFl0eLzafqMDti7bTcYhAxPa7xnbAjMFp0MpFIZ2UPt9wEs/9dCCgr2uiCvNvGICYVggwYzQ/J0utGPfWP3AGcTn56Np+GNct9NyUC5D7IuIo9NYfh/HznkKQ5dzL+yTj1tFZfhnxFTYXLTVChhStTEQDRiKJ9nzdrEt7PhYmhxO5BiMWbduFQrMFo7MzMCY7E0maczsO5SUmlBUaUZxXgZhELaLj1dDFnv01bBYHNv62F+88/i2cDndNRvtdz12BwRd0hyxEgJbN5sQH7/6Bn3/aFdA3emwX3DP3YigUbAyJRE5Yc/DArpeorlaXV3o+jCxFKriMr9IFm/s4Tpa/ggrHOvB5ciQorkai6lqIBWfGv4pSMxxWJ/gCPjTRiqDlD9rKdZOJ6xEoTDaFapH6XGuLeH0+mFxO5FmMqL6FJK8QJ1NAJ5H5ZZ+HwuPzUnGebESQJ39zNjtecuPncHuQX2qC0+2pqb2VoFNBRjPXub3w0ZpE2jlcVGHG84v+wLq9J2vauqbF4eWbxyMpOnQ0MJcg52dZuRU+nw8ikQCaWsJHscGMr37fhm/X7YHD5UFanBZzp4xC76xEKKSRYxvfnm/E68KOBRHIHUCUAFFR5za5rvRVoNK6ELC+S0ai/1rFiFK/BIjHIIp3dtGw0lsK+MhWAfBiAb4eUcS2vh7sHjd2lOXh0S0/IcdaVf+nkzoWrwycgM6auAaNXQxuUlBgwNPPLseRI0U1bUOGZOPeu8YhOlqJSIDcW5U4rHRiJROIoBadGbsLCw34fP5a/LX6AF2g7dQxHnfecQGyiH1cBE1M2HWTHYva90xOj5dmTZ2tFntdiD37K78cpEJiNSqJAB/P7I++Kdqz1uUl711kctDXIfbCRFAh4goR6es9f+1urD5UjGd/3I9SS5UQOzBDi5ev6ImMaJZ1GMmQmuezvtyK0+VVJQvIKXn1oFTcfV7HegMuuAQR1cuILWglybgX1ggf5Hw/XmLFcz/tp/bxZPo/okM0npjQFVkxinP+/YUTNoaw41C7VIfb66U1dOu6Lp6NQqMdc5fuwvpjZTVtcSoxvrxxIDrFqxoUJFZsdtJxhFh+J2qrxhCZqP75EPl9Ltuai3f/Ogqzs0qkJIEwT07sRsV9RmTi9viwM8eAWxduq7k3IOUB7r2gA64cmEqF6EjA5vRUBYz8J55Xu56QgJJDhRY8tXIvtp8y0DHjom7xeOjiTkitxz2Ma7Dxgx2L2ni8RI+ohER47kEihTnleHrWZzh1+EyJkNTsOPzvkxsRnxrcRbE2bpcH5cUmlBQYqY4SnaCGNlZF15Dro6zMgiWLNmLlD9vhdnkhFPIx7uJeuHbmMOgjZL2DEQixfd9RsQ/vH1sAm7cq8FvKl+CWzKvQX9sDUgH39RyCx2uCt5LUX4+CkK8HjyRQkTVYqxMHd57Ch898j9NHiiASC3DBlIGYfttYxCQ0rLY7F2DieiMOTKQJk60NESiOGM5MRmqTodJCKTr7IsQLL7xAt2CQ+u4///xzvQMhmVCRxQIizAsFzO6uLpF4DpusDpSbbTBY7VBKJdAqpdBx3BK+IZSZrHhw3o/YcSw/oO/NWydhVM8sRApsUsKORXNQ6fwblRWzgvREIUq/ElHCjmhJiu1mGFwOarutEUmhl0TOwgAjNBUGK4wGGywWJ9RqKTQaGZTKyF+sLC4x4d77FqKg0OjXTqzhPnhvJjpkczsjpjZsDGHHoqn4fJX4bP2JoNl/xL779/tGIbWRtUcb+v5FZgddgCaL5zq5CJoIWThn1E+xyYFSq4sKDERQ18tFUJwl4CISIAEDE95ZC5PdE2Ab/9PdI5Cuj5x7IDaGsOPQVGwuD578fh+W1QrOqiZGIcYPdwxDQgsK3W4izJucMDvdkAj4iFaIoZBEVgYwI/S9ARHXiRhNShiQcaQtlOU4VGjCxHfWw+X1BdjGf3vrUCRpI2OuxcYPdiyaA2O5BU/d9BkO7Tod0NehRzKe/exmqFuwLKjL6UF5uQU2uwtSqYiWx4ukQHtG6OTTCpcRBreJJlpoRWpohSoIeJF/f7Bj/RE8eu1HAe3Z3ZPwv09uapDjQ6SNIZH/rTFaJdu91F4V1R+MYrsFUoHwrBmAc+bMwbRp04L2SaX136AJiIV95N+nMuqgkkvo1tYoKDcHFdYJr33zN83Qj1GzjCdG+6DSa0Cl5d1Qvai0LQJUj59zNvy5ECtV0o3RttBq5HRraxw4kB8grFcv5H38yRo8+fhkZgPHaDeQbMEP/65VEqQWxJJ13ZESXD0orcXenwS1JKildGO0LUi95tao2dyaEKeT77blBgjrBKvLiwUbT+HBizpBxCbWjHYCET9JWZJglFicOFVma1FxXcjn/SdGsjGkLdFW7w2sTg/e+uNIgLBOIKV1NhwrxdT+KWHZNwYjHBjLLEGFdcKRPbkwlFlaVFwnWb/xEZTty2gYpERzjERHt7ZERakZHz37fdC+o3vzkHeyNGLE9XOBieuMs0KyxV2+wAl67Whc8pyzodPp6MZgtHV2hRDWCXmlRthIrZ3IcL5nMJoBF+A9Y6EVgPckUEks6dgtCYNBWLf+cMgDsWt3Do1cZzXWGO0FUk6q2nY1GMdKiB0dg8EgEOtpUsogFH8fLqF1dfUKFrXOaB843F64vaHXqvKN9lbdHwaDy5gdbmyoVT6hLr/tL8LkPkk0aITBaA/Yba6z9DtbbV8YDK7jsLn8yifUZfemo+gxMBNtDbaS3cYgtZ9JTSi320treZCaHHw+n0ZWNhZSn10uEMHqdgftJ1nr51rDncFoLlxuL7Vhd7g9kIgEiFHLqdNBOIlWh86kFPBJWQM2GWFwE6fXBovHhApXEYQ8MdRCPZRCHfhRTfhNRckBQTfAdaY2th/C/kBUZNQ3ZbQ9HDYnDEVGuJxuSBUS6BO14J3FiaeliY0JHc2rVsuadE/HYLQkRpuL2mznVdihlgppTds4leSc6+PWtX7PipGHFNEHpGubsMcMRhNxmABbGeBzA2IVoAxv2Q6RoKp0QShIHxNFGFyl3OpEidlFa5vrFSLEKsWIUTbNXUIuEkApFtDAk2BkxzI3OUb4MNhcMNjc1C2U3DfpFeGdE5MSnGScoLXYg0B+k6TMGoPBRUocZpQ6LChzWREvUUEvlkMrbprLnUItpfOYYAmFpF2pifyypozIpdRuhcnppJqcRiKBRhxeNxW+gAexRAgnSSgMQlvMWicwcb2N2cCZLQ5aq9P333WfrL/GxaqhkIvBb2R0IRkwtBIp/dHWNQcit1WxMjm9CWMwWptSoxUL/9yGJX/vgsPlgUIiwrXn98PlI3pCrwrfTU739HgIBXy4Pd6Avov6d4K2DdSVZ7Q9rG4T1pV+j7Ul36Pyv6u9hC/HNWkPIlXWGQJe42o7RfHkgPIuVJatISFgdTpliJJOQlQUG0MYrU9JThk+f2IxVi9eD4/bA02sGje+cDWGTR4AlS58ZQQuOL8bFi/ZFLRvyhX9odOyhWAG9yg2O/Dcjwfww658v/qcn10/AF0SlI0W2Imw8vDFXTDry61BF3l7JjOrREaYKD8B/PwgcPR3YvUGaNOBi18F0oYA4vCMITKRALNGZmL1oZKg/beMyoJKymp1MrhHvsGOe77eic0ny/2E709n9keavvHiSKxKTN0aXvn1UEBft0RVm7P1ZkQGpNTT4WIzHl2+B9tPGWhb53glXry8Bz0vw1W6g9SNnzUik+5XMK4elMqCfBmc5LS1HLdvWoTjltKatoH6NLzY73LESxtvG6qJVmLMpX3w14rtAX2jJvSCpgUt4RmMUDi9HuwuKcQj637DEUOV28ig+GQ8P+wCZGv0TQpsbwqaaCUunDYQK79cH9DH4/PQe0g22iJsNbsN4XJ5UFh8RlgnkP8vKDLSTPamIOLxkanWQVwrI1jE4yFdpfVrYzBaC4vdibdXrMX837dRYZ22OVz44MeNmP/bFthdwSOlWoMYjQJvzplEBfbadEjS47ZJQyEVsUUtBvc4YtmJf0qW1wjrBIfXii9OPAuD+8wkpVHwMxCl/RjgJZxpE3RAlG4hwE9q2mszGI2gosiAZ6a+ht+//JsK6wRDsRFv3PwB1q/YQp2AwkVsrAr33XMR6s6J+vfPwHljurFFLQbncHm8+GL9ST9hvbo+59WfbEK+0dGk1x+YocOrU3pCKztz/9Q/XYuvZw9GYgvWymUwQmLMBb4YDxz5rUpYJ1ScBBZNBQp2h/XAdY5XUXGkLtcMSkWvZFaXisE9THY3nlix109YJxwttuDm+VtRYm687S5xapg2IAVzL+gImahqbk7ury7oGot51/WnYiKD0drkGuyY8sHGGmGdcLDQjOkfbcLpcltYv5Dzu8ZiXLe4gPbHx3dBipYliTC4mbFeV1gnbC47hRd2/wyLu/HzELlCghsfHo/x1wyBQFg1hpB/L75qMG5+dCLkSjYPYbQ+J4wVuPKnJTXCOuHfwlxc8eNi5FpMYftKRCIBps0Zg449kgOE9cfeuw66uLY5D2GZ620Er8+HsgpLyP5ygxXxsepGL8iSqBeZUEQFdvJeBH4UD0ImrDPCRLnZhp/+PRC07+s1OzFtVC8kx4Qnm4lEGvfvmILvnpqJbYdzUWSwoE92ItJitVR4ZzC4htltwF9FS4L2eSs92G/8FyNjJzf69aN4UkA8AtAvBXxGMoIAPA2i+Pom7DWD0XiKT5fi4OajQfs+e3QR+l/YCzHJ4Tk/ZTIxxo7pit69UrF12wlYLE7075eO+Hg1NJqmWdsxGC0BET7mbzgZtI/YnR4qNCGpCSI4sUq9vG8yhmdHw+hwQ8Svsi3VyELbXzMYLUruNsCUF7zvt8eBGcsAWXjGEPLbuGNsNqb1T6YZ7MRueEynGFqigf1mGFykzOrEX4eKg/YdKbagxOJskggerRDjllGZuKxvEiwODyRCPrWdV0pYwDuj9fH6KrF8ey4sQUoVuLw+fLDmGJ6b3B1SUXiW62OVErxwWQ/cObYD/j5UArmYj5EdY+hvkP1mGFykxGEJENar+avwEMqcViiEjS8xoo9VY9ajEzFl9mjYrU5IZWJoY5QQS9k8hNH6WN0u/N+ODfBUBiaDGJ0OrDpxGLN79A9b9np0vAZPfXIjCk6WYdemo9DFqNBraBZ0sWpqGd8WYeJ6G6HSV1lvdrrb5fmvRkjTflxCHp9uDEa4KTPZahJF6uLx+mCyNT7CvTkQCflIilbTjcHgOr5KLwzu4BaihELHiWZ5nyh+HEA2BiPMHN0R+pwmGex2c9MybZuKTCaCTKZDcrIurPvBYDQEp8cHqyv0PORkadOzsPi8KCRopEgAyxBhcIDjq0P3FewA3HaEExKQQrYOceErccJgNBSr0xtyXk8otzibJfg9mWXdMjiAzeXBuqOhXeG2nKyAxekNm7hOILXfydY9ia1lMbhPmTN0omElKmH3uJr8HkRIj09hiSGM8GNxObG1KESAL4C1eSdxXdfekArCJ2TrYlR06zYgA+0BZgvfRiAZ6WJx6B+ORCIKW9QKg9ESyMT1RwlKgkxGSICJ3emGJ0gtdAajPUPqqcdJUkP2Z8i7t+r+MBgtTXQ9WekCoQCiIFG1Xq8PdrsLXi8bQxiM2kiFfJotGwpSc53BaFOQ+uqhkMcQ/8Ogwb9EVCFZiwwG4wxKiQCCehwWiesCg9FWEAv4SFSHDhQkGeIifuDvwf3fGFKVNMVgMKqJl6pCHgxhFB/yJmStMxhcQ8QXIFYa2hE3SaGCkBco97o8nrCWz23LMHG9jVBcXIznnnkMF4wdhJ7d0jBmZD/cest12LhhLc1V12hk2LRpIy655BJotVpIJBL06NEDb7zxRs0i8bfffgs+n4+8vOARMB06dMB9991H/3/06NG45557avrIYyLek00sFiMpKQkTJ07Ed999d06fg/z9ihUrAtqvv/56TJ7sb0lcWFiIO++8E5mZmfQ9U1JS6Hv++eeftP/KK6/ERRdd5Pc3v/zyC32Pp59+2q+dPE5NDS0sVXPy5En698GOU0FBAQQCAe0nz6v9/J07dwZ9XJcvvvii5jiS9yDf1aBBg/DMM8/AaCRWyuG3Yi81WuhFOdzoVTKkxga3fe+WFgdtndo3+WVGLPprB+798Ac8s+B37DtVCLMtvJmJDAZXkAtUGBc/I2ifhC9HtrJXq+8To21BhOnycgvdyP+Hm/RuKZCpgtcNHHPVMGhq1YMiAVl5eeWY/9U6PPHUt3j/g79w4mQJHI6mR8EzGG2BWJUEd52XHbQvRSdFRgwricNoGm6vF8UmB0rMDm4IC10mBBXQKUPvAuRnXHrsLg8OF5nx7I/7MevLrXjz90M4WWqlYjuDwQBiFGJM658S/OeUpacZtAxGUyDX4SKTA+XW8LobEkQCHm4cHjqb744x2VDXKntjsruxJ9eAR77bQ8eQT9adQE6Y67IzGFwiWqxAf33w9fwpaX1pP4PRFFxeO8zuMtg95rAfSK1Eitt7DwrZf12X3hDUmqNUWGzYejQXjyz4Gfd89gNWbN6Hworwf462BLOFb2aMTjtK7TaY3E6oRGJES2RQi1vWvpAItsOGDYNGo8FLL72MuPg02J0urF+7Gs898yj27NmLH1f+gCuvnI4bbrgBq1evps/9448/8OCDD2Ljxo1YunQpJk2aBL1ej/nz5+PRRx/1e49//vkHR48exU033RRyP2bNmkVFYI/Hg9zcXCxfvpwK3EQYnzdvXot95ldffZUGCrjdbvz88y+4/fbbceDAAYwZMwb3338/3R8iehPIZyci/Jo1a/xej7ST5zcUEjzw5Zdf4pFHHqlpI8eNtJ8+fbpJn02lUuHQoUN04chgMGDDhg148cUX8fnnn2P9+vVITExEa1NitOKf3cewePVOem6N7JmFq8f2QXK0Onx1PNRyvHnrpZjz1jK6f9WQfXrxpkugVZwRTU4VleOG15bCYDlj0fjjvwdwz+UjcPnwHlBI2YSdwUiSdcCU5LvwU8FnsHurrLVixamYnnoPNMKYdnGA7F4rfJU+SPly8KJY/GFzUVxiwh9/7MPPv+6mZWzOP78bLr6oJ+Jiw2c1GJ2sw0u/PoaHxz0Pm+nMAlXnQR1ww3NXQSI7My4cOVKE+x5YBOd/tRG37ziF71dux5OPT8aQwdkQClm5HEb7hli2T+yZSGvZvrf6GOz/larqn67F61N7Ib6dZB0abFUBN6yudfNyutyGrzaexM97C2nG37VD0nBRt3jEq8N4XqmSgGlfAd9cD3hrBVp1mQT0mEZs5WoyDdceKcWcBdtQnbC+/mgZPl57AotnDUbfNG2YPgCDwR1kYgHuOb8DyLLC0q05cHsr6f9f2DUOT0/qVq8zSluBOFqYHG6awc/qWjcfJIjpVJkNH/59DOuPlkIrF2HWiEwMy46mGeLhIiNajicndsVzP+6vGRsIs0dkolfKmfkRqctOfhPP/XSgpo2MIe+vPoplc4YiK5aJhgyGVizHy/2uwPO7V2F14WFqBU8y1omwfkunkWG1x24tSJlgm9kBoVgAmZytbzfbcfU6UebKxbqSRSh0HIFKGINh0VchQdoRMkFox4SWZlB8CmZ27YP5+3fUtPGjovDs0PORqjqThFhhteOdVRuwbOOemraNh04jWa/GJ7dNQaIufJ+hLRFVyYnQ79bBZDJBrVbTDGAiYNbG4XDgxIkTyMjIoFndjSHfYsJD63/B2vyqrGXCyMR0vDTsIiQqWu6EJdnou3fvpoKsTCajN5AkK4xIniazCTKpBGlpaRg1ahTNTq/NypUrqaj+9ddfY/r06Zg7dy5tO3z4sN/ziEB+8OBBbNq0qSZTvXfv3njrrbeCPq6GCMI33ngjfv/9d5x//vln/SxEqCWifN0sdfL+RGiuzmqv/ZnlcjnNKiOL3uUGKyrKK5CQEIuiwhz06NGNBg8MHjyY/h3JAp85cyb9nBUVFfS7Jt89Eek//PBD+j5nE/XJOfL4449jyZIlfsepU6dO9Bg+++yz9FxKT0+vef6OHTvo8an7OFjmOnEEIJ+1rjNBt27dMG7cOCxYsCDovjXHORyMUqMVj322ClsO5/q1E0H6q4euQlpceBeFiirMOFVcgZwSIzLitEiJ0SBGc2aSYbY78egnq7B+/5nfZTVk0v7dU9eH/TNE6nWzvdEejoW30guzuwJ2rxm8KAHkfCUUwuAOEW0J8plPWQ9gQ+lPcFc60VM9Aj00Q6ERtY+ggpakpMSE+x/8Gjm55X7tcXFq/N8b1yA2Nny/JeLcU5pbjpP7clCWV46s3umITY2BtlbWelm5BffctxB5eRUBfy+RCPHZJzcjvtbzGe3vutlQ2sOxcHm8KDY7aZaVmFjFy0R0IbutU2i0Y/XBEny95TR4UVG4alAqRnaICa/424aE9cnvrUe51d8ppHeKBh9d2y+8dtFuB2ApAgp2AXYDkNwPUMYDsjNlR/IqbLjwzX9gdQWWE0nVybBszhDq/MBov9fNhtBejgOxvC41O2F2eiAXCaBXiNqF0EyuEz/sKsCPu/MhFwtw0/AM9E3VhlX8bSscKDDhsvfXw+H2dwqZ2DMB/7uUBG6E7xhbnR6UmJ3YmWOga7h90rTUxUElPXPOnyi1YuzraxBs1X5Eh2i8d3Vfv+cz2t91syG0l2NhdjlQ7rLC5nFBIRQjWqxs88I60X6Kcsvx8+JN2L72MLQxSkyZPRqZXRKh0srDvXsRzwnLdiw5/SQq4T+GjIiZgQG6yRDzgzshtgZGpwMldiu2F+dDzBOgd2wCYqQyyIRn5t57ThXimrcWB/37a0f1xT0ThkMoYIkiTb1usrSsZsxYryusE/7JP4mH1/9C+1uC8vJyanVOsrWJyEzEafLDkIiFtAZ7TLQev/32G8rKymgWd12IjXrHjh2xeHHVj41kph85coRmqldjsViwbNmyerPWQ0GEbGJtfq728OfymclgUlZhRU5+Baw2F0QSOX0sluppljfJSieYzWZs374dU6dOpcI3Ed0JJDPc6XSeU+Y6CUgg4vy6devoY/IveUyOZ0sQGxuLa665Bj/88EOr13o9UVgeIKwTLHYnPl61CQ5neGt2xGmVGNgpFVcM74G+HZL9hHWC0erAhgOBwjqBTFK2Hs5ppT1lMLgPP4oPjSgaCdIMxElS2omwbsB3ue9h8enXcMp2APn24/ilcD7mHXsMFa7icO9exPPv5mMBwjqhqMiIv9bshy+MtWdJ+ZW4tBgMuqQvLpl1PjoNyPYT1gkmkz2osE5wONz0czAYjCpEAj6StTJ0TVQjK0bRLoT1AqMd13++BY8s34NduUbsyDHgwWW7MevLLSg0svJDTcHl8eGTtccDhHUCESP25oX5+ktqeGrTgK6TgH7XAXHd/IR1QoHREVRYrw4cqPjP7YDBYAAykQCpejm6JaqRHi1vF8I6sfe+7P0NePmXg9iXb8LmE+W45atteHzFHpRawm9hHuluMv9buS9AWCes3F2AfEN4x2gSSEHO88l9kjClfwq9b6orlG8+URZUWCesO1pa45jDYDAApUiCNIUeXTQJSJHr2rywTsg5WoQ7JryJZfPW4PiBfGz75xAemfERln28BhZTy+hQ7QViA7+q4O0AYZ1AMtltXv+kyNZGLZYgW6PHtI49cGl2F6SpNH7COuH7LftC/j2xhy+3sBIjzQET15sJYgVfV1ivLbCT/paAWLUT84HOnTuHfE51dnWXLl2C9pO/rX5O165daZb3Z599VtNPLOPJexCL93OFx+NR8b66BnlDuOqqq6BQKPy2hQsXhvzMJGu9wmALaq01aNDQGnF97dq1dF9iYmIwcuTIGmt48i/J9ibZ/Q1FKBRixowZNceJ/Esek/aWgnxeEiBAAiVak582n7GgqstfO47CyPG65eRcqc+fw+kOf/14BoMRPoodp3HYvD2g3eguxabSVfD4whtAFMlYLA78+tvekP3EKt5Uy5Kdi5ytPrzHw2rmMhjtmT/2F+FgYWDduj15JmpBy2g8RFRftacgZD+xyuV63XJib10fZL7KYDDaJ06PFx/9c4w6vtTl131FOF5ypvQd49wxOzzYdDwwwLea1Qe5H0TtrGeeQda42BDCYLRfzAYb3n9qOezWwDHkmw9Xo6LYFJb9ais4vGaY3MHHCSK4lzqbVhK4NXCGCPAluD1esFlI88DE9WaC1FivD/NZ+hvLubj6N/S5xMadZKoTIbdaOCbZ3kqlstH7eC51ud98803s3LnTbyOZ4rVfrzYkWz0UffsNppnppB47EdGJfT2BWOTXFtfPJWu99nH65ptvUFhYSP8lj1uS6s/d2jXOSW3DUJA6s2Equd5glFIxuqbFhewnWe8MBqN9Quqrbyn/PWT/DsPfsHnZpKSxRPGiIKhnDBEI+TQIj8uoVTJoQ1iqCQQ8JCa0fXcHBoMRnAqrC0u2hnZAWrT5NIx2FqDVWHhRgJDPq3eOwvV5SLJWClGIzxCtaB9lExgMRugAoh925oc8PMvqGV8YZ4eMD3wykIRALOT2HIQwKMPfDaU2PZLUUEkFrbo/DAaDO1iMNuzZfDxk/86NR1t1f9oaUVH1jxGkjCbXmTAgdCLu+b2yoZax0lTNAffvJiIElbD+Wj3Ks/Q3lg4dOlCxldRDDwXJ1iYcOBA8A5m0Vz+HUJ2hvnDhYvy7eSfWr1+PGTNm0gzxc4VYmBObeZIZ3lDi4+ORnZ3tt9UW9hvymasZNHgYrFYrtmzZQjPYiahOIP/++++/1GKe/Dt27Nhz/mw9evSg2eQk0564AnTv3h0tCfmeSJ0HvT70DXZLMHFIt5B9kwZ3hVYRvhojDUGjkOLRq84LWkdk0pBuiNGwOjQMRnNjcRuRYzuC3woXYnXRNyhynIbdY2EHup0hl4lx2eS+IfsnT+oLlUoKLqPXKzD33ouCCjg33jAKWi23x0AGIxIpNjmw8VgpXvr5ALUFP15igc0ZeU5D5xADzQiCXi7C9AEpIY/NNYNSwed4gBYR0B+8qFPQvucv64E4JVvUYjCamwKDnbqKvLDqABb9ewqny6xwtXJpPUb40cpEuLBr6CSLsZ1jwXXiVGJcGWQcJEFbz07uHtaa8QxGW4QkteUZTVi57yBe/vMf+i95fC6JjYy2gZSvQow4PWgfP0oIvSj0HIUrZMXpMbBDckC7UiLGLRcOhlTU9ksntAbcD7OIEKKlMoxMTKcW8HUh7aS/JdDpdBg3bhzee+893HXXXbQGeW0MBgMuvPBC+rzXX38dQ4cO9esnNbyJ+P3ss8/WtEllMkycOBnzPv4EAwbsRXpGFpLTuqC4xIzYGGW9WWh1mT9/Pq1FfsUVV6DFPrPMP+LfZDJCpaqqmdq5c0ekpKTQz0ky4KvF9aSkJLqRY+JyuRqVuU4g2eq33XYbPvjgA7QkxcXFWLRoESZPntzkLD+7041KVEImblimRHK0GpcP74Hv1u3xa0+KVuPq8/oGFa25RoekaCx+9Bp89stmbDuSSwMCrh/XH/07JkMt57aww2BEGmZ3Bb7P/RAHzFtq2v4oWozRsVMwLHoiZILGuaC0BLwoHvrrLsAe4/qg/X00oyDn+9fgbu9YnS7woqIafCPerVsy+vZJw/Ydp/zau3ZJRP9+DQ+8Cxc8XhT69E7D++/OxPwv1+HosWIkxKtx3Yxh6NAhHhIJyzpkMJq7hvms+VuxN/+Ma8jzqw7gtSm9cHH3eMjE3Jm+kqzj6f1TsDdvX0jxV12nfmp7hixMWp1eCPhRkAjPPn/g83n0+K7cVYBjJf4BehN7JSArVgGuIxUJMLVfMjonqPD2n4dxusyOrglK3H1+R2THKugYw2Awmo9TZVZcNW8T8o0OPyHyixsHYGC6DoJ63DBaG51chEm9E7FgU3Br2an9ub9w39qlmmxuL3UtEQl4Dapp/vDFnbH1ZAVK6tSvv/u8DoiNgOAmjUyEB8Z1wogOMfjg76Mos7gwMEOHO8ZkI03PAnwZjObmYHEJZixYBrPzzDVDKRZjwYwp6BLHrYAchVqGHgMzQ2av9x6S3er7xGW8lR54fE4IeGLwG5B1LhdoMCHxPiw4+SDclbXL4UZhfMI9kAu04DrRKjleuOZi/L3vOBat3Qmrw4Ux3bMwY1QfJOnYOmdzwZ3ViQhHLZbipWEX4eH1v/gJ7ERYf3n4RbS/pSAi87BhwzBw4EA888wz6NmzJzweD37//Xcq+pKM548++ohmpM+ePRt33HEHzYD+888/8cADD2DKlCmYNm1azeu5nB5MmDQVX189GcePHcFNs26n7SaLAwqFGCpl8M9is9moRTp579zcXCxfvpxavN96662NFq8b8pmffvppJKdko7zCjA0b/sHXi+bjp1/WUguo2Gglfe/333+fZsDHxZ2JXCVC+zvvvEOz9hMTExu1H7NmzaKW+RrNudnCHjp0KKCtW7duNQtP5DiSf0lwxMaNG/HCCy9ArVbjpZdeQmMpNVqw92QRvvl7Fzw+Hy4d0o2Ky7Fa5Vkzv2+fNBQXD+yMJat3wGx34aIBnTCocxriddwRyeqDBABkJujx2NXnw+JwQsjn08/FYDCaH1K/vLawXs2a4mXopOyPVA6J64Q4SQo6KvsG1F1XC/UYHH0J+Dx2q0QoNJrx77EcrNi2j15Drx7SG92T4xCtrN/9Q69T4JGHJ+LI4UJ8v3IHHdvGX9ILXbokIVrPfWGEIJWK0KljAh57dBLsdhfEIiGUEbAgx2BEGi6PF5+sPeEnrBNIssj9y3ahT6oGmTHcum6c3zUOC/49hUOF/uJvt0QVhmVHh22/uEZehY3WEP5lXyG0MiFuGJaBjnFKKi7VR4JGigU3D8S/x8vx7fZcSIV8zByajk7xSkQrIiNjTy0TYXh2NHokquDw+CAT8aGUsKALBqO5MdndeHzFXj9hneDy+nDz/K34/d5RSNJyZw2AiMSzR2bRa2NJnbrrJOM6I4Y57BG8vkrkVtiwbFsuNh0vQ7JWhhuHpSM9Wn7Wa2maXo7ltw/FnweK8dv+QjpuXD80HRnRcqgiJPhNrxBjfM8EDMnSw+31QSkWcCrQkMFoKxSbLbjj2x/9hHUCeUzaF183DbEK7sxDlBoZbvvfZbhvyrsBdden3jIG2hhurbuFC7fPBaO7ENvLf0KR4xhiJZnop5sAtTAOQl79c4lYSQZuynoP+4x/4bRtL3SiJPTVjodGFA8hLzKSLGLVCkwd2hNje2TD5/NBLZdAJGBjSHPCjmYzkqhQ4Z3RE1Fqt9Ea68QKnmSst6SwTsjMzMT27dvx/PPPY+7cuSgoKEBMTAz69etXk1FNBHRii06eM2LECDgcDmqv/thjj+Gee+6pqeNNfmgVBhv69R+EjIwsnD59EpdOnlrzXhUVVshkwS8+H3/8Md1EIhG1Lifvv2TJElx22WUt+plJgAD5zNHRMejWvQeef+E16LVyqFVSWhOciOtffvllTb312uL6559/jquvvrrR+yEQCBAdfe4LZ9XW+7XJyamqqWUymZCQkEC/ExIE0alTJ8ycORN33303fdxYYf3JL3/Dpv1nMge3HMpBh+RovH3bZMSdRWDXKmXop5ShR0Y8vN5KSMWRMRGpC9nvSN13BiNS7ODXlfwQsn9T2SokSTM5JVgrhVpcnnw7TlkPYEPpj3BXutBTPQI9NEOhEcWEe/c4QaHBjNmfL8ex4rKatvVHTmFkpww8e8UFDRLY9YOz0adPGoihmiRCr8PE5p5sDAajZSi1uLB4c/AMPiKw/3WwmHPieoJaii9uGIjVB0uwZMtpev9+9cBUjOwYjXg1C8IhEEvmKz7c6CceETGJiCN3je0AzdkEdrUUk/skYVy3eBADLyJIRSJEZGc5IgxGy9YwX3ukNGifzeXF0RIzp8R1QqpOhuW3DcXKnfn4cU8BDb65aXgm+qVpIiaAqKU5WGjC1A830u+QsOVkBZbvyMPzk7vjsr5JkInqn1cSMf66IWmY2j8ZAh6vQVnvXORswWgMBqNplNvsyDEYg/aR9nKrnVPiOiElOw7v/ngvVi3aiB3rjlBBfcrs0cjskkgz29s7lZU+5Nr2YsnpJ1EJH23Lte/HjopVmJryNDIUfcCLCj2vIH1aUQKGRV+FgT4n+Dxhg7LeuYheyc6HliKqsh0VjiCiJcn+NRqNASIlEZtPnDhBa4NLJJJ2bbWUV1ABm90dtF8k5CM1WXdO1vCtvf/klCY2gtUBA+2F+s7hv3cfw70fBBe87p86CleN6dPujhej6dfN9gY7Fg04Ru5yfHDkQZg85UH7sxW9MSP9obNGiIYLu8eKSngh4SuoZTyDBN1V4vO1W/HGL+uCHo6PbrgMwzsGr0XFYLDr5hnYsTg7JDNt+MurQ/bfMjITj1zShbM/LIPNVWPjyqjC5vLg0eV7sGJHftBD8vPdI9AloX3fXzJCw66b7DicC4eLzLjwzX9C9v/flb1xae8kzmZnk8x74r4YKRnVrUG51YlrP92MfXUcbQgCXhT+un8UUnUsw58RCBs/2LE4V3blF2LqF4tD9i+7/ir0TIzn5M/N7fbCbnFAIBJAJufmWls4MLlL8Pnxu2DzGoPWVL8x8x2ohCyhhtG0MYStHDP8TwheFBTy0MEFJGOrqTW/WxIiqhPhnwnF/jXWiRV8KL5duwflZlurfD8MBqNtI+HLka3sFbK/u3oIZ4V1glQgh0ygYsJ6LcqtNizbsifkMVu8aRecHk9rfD0MBqONQ7LPeiWHzu0d3Ynbix9EVGfCuj8Gmxs/7ioIecx+3hO6j8FgMM4FpUSAmHqyvbkcyENEda1cxIT1IGNIMGGd4PFVYl9e8D4Gg8E4V3RSKS1/FwzSrpVxy/mkNsS1V6WVM2G9DjaPMaiwTrB7TbSfwWgq3FVJGWGBiNJKhRgCfuCpwYuKglYjowJ8YyB1wxUKRdDt4osvBheYM2dOyH0kfZEIyeQnE49QeH1V1igMBoPRVEQ8MUbGXA5hVGDWnkqoRwdlb3aQIwwyeni8occQj9dX9SQGg8FoBsvTpyZ2Q7CpBqlhnsUxS3hGw+YhvnqM8tz1jC8MBoNxLsQpJXh8fHB3k0t6xCNWyd0AX0Zw6lnGotS3zsVgMBjnQoxChtlD+gftu2VIf8TIma12pFF5loUq339W8QxGU4jMQgGMFkUoFFDr99JyC8xmB22Ty8WI0StoNFRjIeL0tGnTgvZJpdyIAHvmmWdw//33B+2LVEtsmUSEyUO7YfPB4DUsxw/qAo2cG8efwWBEPjpxPOZkv4xfCubjqGUXrVPUUz0cY+OmsxrmEYhGJsH43p3w8ZotQfunDOgOsZDdTjIYjOahS4IS38wZimdW7sOuXCOtP3vVwBTMGpGJWFX7Ld0VqailIoztHIs/DhQH7b+4OzftNRkMRuRBkkDGdI7FpzP744VVB3GsxAKtTEjHD1JvmzmLRB5qqRBZMXIcK7EG9JGqhj2SQrvdMBgMxrkgEQpxbf8+SFSp8M7ajSg0WxCvVOCukUMwtkMm7WdEFjK+GmKeDE5foFuviCeFXKAJy34x2hZsNZQRFJFIgPhYFRXUCcQKnliuNwWdTkc3LhMbG0u3tkbfDsnolBKDQzklfu0JOiUmDO7a5O+WwWAwquFH8REvTcP01Llw+GwgCYhygYrTdvCM0BALtKkDe+KH7QdQZLL49XVPjkOv1AR2+BgMRrMhFQnQL02Lz28YSOt1E+esaIUIIkHjA3wZ4UMhEeDhi7tg0/FyWJyegEzSJC0L8GUwGM0HqVd+Xpc49ErWwOH2QsCPQoxSQm3XGZFHjFKMl67oiavmbQrIUr9jTDb0ikC3NAaDwWgsOpkUU3t3x6isdLi9XroWEqtkzlmRikKow0UJd+L7vJcD+i6Mvx0KPrc1KkZkwMR1RkiIoN5c9dWJbazX64PL64WAx6O280K2SNZqxGoU+L9bJ+OvXUdojXXyfYwf2AXjB3dBgi4yM/IZDAa3IfXLpZA3y2uVOiwotltQZDcjTqpErFSJaEnzvDbj7CRpVVgwZzpWbNuHH3cdhIjPx5WDe2FMlyzEqthkk8FgtIxFPNmagyKTA4VGB8qtLiRrpYhWiqGVsQX51iIzWo4f7xyOLzacwF8HS2gm4uyRmRicqYO+nvrIDAaD0VjIdb458PoqUWxyIM9gpwFCaXo5DfhSSlgGY2vRM0mNVXeNwPt/H8X2UwbEq8W4fUw2eiZp2PfAYDBahOYS1IkGUmK2ItdohNvrQ6pWjWi5DDIRm4e0BvwoAbIUAzAz402sL1mMUudp6EUpGBZzFaLFqeDzmCzKaDrsLGK0OG6PF/llJlgdrpo2oYCH1BgtxCJ2CrYWsVoFpo/qjQv7dqJVRzRyCctYZzAYnCfXasCcdctwwFBU09ZVE4cPhk9BspzZOLUWiVoVbhkzCNMG9aSZpDoFqznGYDC4z5EiM67/fAsVRqoZ3TEGL0/piThmM99qVs3p0XI8eklX3D7GRQOttc0UOMFgMBgtBUlI2JVrwE3zt8Jgc9dYkV85IAVzL+yEaBYc1CqIhXx0jFfihct6wOr0QizgUYcCBoPB4DJ2lxtrj5/EAyt/gd1d5d5E7oHvHjkE0/v0gIYj5XHbOmK+DInSTpiU9CDcPgeEPAltYzCaC+YFzWhRfD4fSgwWP2Gd4Pb4cKq4ggrvjNYjiggiKhn0KhkT1hkMBucpd9hwz8blfsI6Yb+hCPduXIEKZ2DtJEbLQUqIRCvlTFhnMBgRQYHRjhmf/usnrBPWHC7BG78frlnoYrQOIgGP2jMzYZ3BYEQC+UYHrvnk3xphnVBZCSzenIMfduXDV8emnNGyyEQCahPPhHUGgxEJ5BpNuPO7H/3mGx6fD6+vWY89+f7rW4yWhwjqxCaeCeuM5oaJ64wWj/Y12hwh+1xMXGcwGAxGCMqcVuwoyw/at70sD2VMXGcwGAxGCE6X21Bkcgbt+257LkrM/sG/DAaDwWBUs/FYKRxuX9AD8sHqYygxBx9fGAwGg9G+8fp8WLxjF3WNDca76zbBYA+ulTAYjMiCieuMFoUE85Lo3lB4vCxzncFgMBjBsXrqFz4sbraoxWAwGIzg5NfJWK+N21sJh5vNQxgMBoMRnCPFlpCHpsTihNsXXHhnMBgMRvuG1Fo/XloRsj/PaILTwxy0GIy2ABPXGS17gvGiaG3WUIgErOY6g8FgMIKjFkkQagSJ+q+fwWAwGIxgZEYrQh4YuYhPNwaDwWAwgtE3VRvywKTrZRAL2BjCYDAYjEDEAgH6pSSGPDRd42IhFwnZoWMw2gBMXG8jFBYW4s4770RmZibEYjFSUlIwceJE/PnnnzXP2bBhAy655BJotVpIJBL06NEDb7zxBrz/ZY9/++234PP5yMvLC/oeHTp0wH333Uf/f/To0bjnnntq+shjUs+bbOT9k5KS6Pv/8P0KWt87GBKRAEKB/ylI/n7FihVBn79mzZqa9+DxeFCr1ejTpw8efPBBFBQU+D336aefps+bM2eOX/vOnTtp+8mTJ89yRBkMBoMRbvRiOS5K7hy075KUroiWyFt9nxgMBoMRGSRqJOiSoAzaN3tUFmJV4lbfJwaDwWBEBr1TNIhRBB8nHrqoM63/zWAwGAxGXUiS4aTuXSAVCoImidw5cjAUYjaGMBhtASauNzMmlw0nLSXYa8jBKUsJfdzSEKG4X79++Ouvv/Dqq69iz549+OWXXzBmzBjcfvvt9DnLly/HqFGjkJycjNWrV+PgwYO4++678dxzz+HKK69EZWUlJk2aBL1ej/nz5we8xz///IOjR4/ipptuCrkfs2bNoiL3sWPHqFDftWtXXH3VVXjkgXsRrZajdgK7QipCcowGAv65R/seOnQI+fn52LJlCx566CH88ccf6N69O/3ctSEBBJ9++imOHDlyzu/BYDAYjPCjEknwRN8LcXl6T/D/G0TIv1ek98Rjfc6HUsgy1xkMBoMRnBilBJ9c1x8jO8bUtIkFPNwxJgvXDEqFsBHzEAaDwWC0DxI1Uiy5ZTB6JKlr2lQSAZ6b3B1DsvRh3TcGg8FgcJsktQpfXTMVGbozLigxcjk+mHopsvS6sO4bg8FoPpgndzNSZDfi+b3fYVPZGTF3sL4DHut+OeKkZ27Im5vbbruNZmNv3rwZcvmZLL5u3brhxhtvhNVqpcI3Ec/nzZtX03/zzTcjLi6Oti9duhTTp0/Htddeiy+++AKPPvqo33t89tlnGDRoEH3NUMhkMsTHx9P/JyL+4MGD0blzZ7oP06ZOw+gxY+CrrKT7KuDxwOc3LrYjNjYWGo2GvlfHjh1x6aWX0gz2W2+9FevWrat5XqdOnehzH3vsMfr5GAwGgxF5xEmVeLrvONzRdTisHicUQjGixXLIhKJw7xqDwWAwOE6SVoZ3r+qDMqsLdpcHSokQcSoJRHXcsxgMBoPBqEtmjALzbxyIcqsTLo8PaqkIcSoxBI1cy2IwGAxG+4DoHj0T47FgxlQY7HZ4KyuhlUoRqyDJh6HL5zLaF8RN2u12h3s32iUikYg6Y7cbcf3FF1/Ed999RzOupVIphg4dipdffpkKqFyAZKjXFdYJ5DFpf67XdKhEwe3Rm0J5eTnNUn/++ef9hPVqiAhNstbLyspw//33B/QT63YiUC9evJiK6yQznVjFk0z1kSNH0udYLBYsW7YMb7755jnv38yZMzF37lysWLEcF154AVoCcj4Q+/d7770XxcXFVFCv5qWXXsKAAQOwdetW9O/fH5EOCU4gLgPEYoYNxgwGo70gF4roxmgaDo8blaiEVMCOJYPBaD+opEK6MZqG3eVFVFQlJEEsLhkMBqOtopOL6MZoGjanB3x+FKtVz2Aw2hUxCjndGI3HV+mja1nEdUzIaxvzEKLtkBLPBoMh3LvSbuHxeMjIyKAie1OImDPy77//phbnRCj1eDw0s/rCCy/E/v37g4rKrU25yxogrFdD2kl/S4jrxKqd/CBJhngoDh8+TP/t0qVL0H7yt9XPIVbuJOOcZKpXi+sk65u8B7GPb8yJSsT7lq5xXv35yfvUFtf79u2LadOmUfv42vXnIw2P1weX24Nysw1enw8KqQRKmRgiAbOzZDAYDEb9lDosOGAoxpeHt8Dp8+Ly9B4YFJuGBJmKHToGg8Fg1EuhyYFtJyuwZMtpGuA7Y0gaeiarEatkpVkYDAaDUT/5Bjv+PlSClbvzoZIIMXNoOjrFK6CTs3rDDAaDwQgN0aLybAb8krcP60uOIk6iwozMQUiV62kJyUimWlgnGhZxgmYJlK2Lz+ejJadJeevU1NQmHf+IEddJdnZtiHU5OQG3bdtWIwKHE4vH0aT+xkIuNM39XGLjTrLA33nnHSiVSiq0T506lf5/Y/expS8S1Z+t7vuQ9v898wy6d+uG3377zU94jxS8Xh8V1UuN1po2q8ONMpMV6XFaiDiYPVJkssDkcNDgCq1UAp28+QNLGIz2gMXigMfjg1wuhlDIgmlaG4+HWDR5IRIJGl3KJNyUOqx4ettv+Dn3QE3b+qITyFZF44tRV3FOYCdjXlm5BRaLEyIhH2q1FEqlNNy7xWBEJAabC15fJTQyEfg8Zj/Y2hALYbfXB5mIH7ELJoVGB275ait25Rpr2tYcLsHw7Gi8Ma0XYlXcWthyebwoNjthcXogFfKhV4igEDPXAgbjXCHrKAZblU2plmVthwWn20tthGUi7q33NJTcChuunLcJuRX2mrZf9hXi6oEpuH9cZ845ApDyMSUWF2wuD+QiAWKUYkjYHJzBaJTVtcVoB4/Pg1LN1oPDgcNZNYZLIvg++Li5BDPWfQaT+4ymtjJ3Nx7qPg5XpPaFXMitIC2L24lypxUOr5uWs4wRK2m2fbDfR7Wwrtfrw7KvDCAmJoYK7CSJWyhs/O8kYu/SjMaqCb5Opwv5HKfTSbdqTCZTi+2PQlD/woKEJ4LD7aGZxiTiv7no0KEDXawhdvmhIJnjhAMHDlA7/bqQdpKxXg3JUCfi+sJFizF06DCsX78ezz33XKP2j1wwjhw5Qh0HWhLyGQjp6ek1k0GyFZktEGr1uHrmTJq9/sknnyDSIItytYX12tnsxQYLEvWqZqkR0RzYXW5szcnDkz/9gXyjmbZ1jovBy5PGoWNcdLOe++0Vt88Ng7sMew3bUOwsQLaiKzIVHaEVRYd719ocrTmG1MVgsOHQ4QIsXrIJJqMdAwZkYtLEPoiPU0eEyGvxGGBxG+HwWiEXqOkmEygQKdjtLhQUGLDih+3IzS1H927JGHdhd8THayLi+NfmiLHET1iv5qipFN+d2I05XYaCz5ExxGy2Y/2GI/jo49UwGqsW4Xr3SsXc+y5GUqI23LvXZiCTB3J/RjY+n083gSBipwScJZxjSLHJgY3Hy/DF+pOwu72Y0DMBl/VJovXHI4EikwOlFiesTg+tjx5pAikJajheasUX60/QRfrzOsfiou7xSI6Q41+bvw4W+Qnr1aw7WoodOQaM6xYPrlBmcWLRv6fx4d/HYHV5QeJJLuoWj8cndEWihgVpNde5TbJQv9+ZD4fbi0t6JCAzRo4Y5mLQZsYPQoHRjt/2FWHp1hz6+OqBqTivSyzi1dz/HZGAMjIGlliqaqSTMSRaIYI0ggRqMv4dLDRj/oYTsLm8uKx3EoZlRyMhwq5j5PjP++e4n7BezaLNObhyYCqnxHVy3rz95xEs3ZoLl9cHEZ+Hqwam4PYx2ZwLJItUyLl9qsyGH3flg0w/L+2dRO+NuHQetAXCPYYU5Zbjj++2Yt3PuyGRiXHZjSPQfWAmdDHcCuoPBkmsKC+zoKzMQh/r9Qro9IqISnQprbBg79ECfP/nbvr4svN7oWtWPKK1kbMeRzC67Hhu9yo/Yb2aV/b+htFxnTglrhfYjHhp7y/4q+AgfKiEXCDGrA7DcUVaX+jE/o7b1TXWScY6o+H4Kt3wVTrg8ZoQFcWHgKcBL0pI/78xVNvBk3Wxdieuk9T9e+65B8OGDUP37t3rrdP+v//9r1X2SSeSY7C+Q1BreNLO8/JxtLQMGTot5OLmu3EgwQXjxo3De++9h7vuuivAIp9EwhD7fPK8119/PUBc/+GHH6j4/eyzz9a0SSQyXDJ+EubN+wQ7duxFekYWMjK7U1vyc82Snj9/PioqKnDFFVegpbDb7Zg3bx51MCBRJ9WCtNPjRanFRh9ff8fduGToIHy1aDEiDYv9zE1RXUw2J2K1lRBxQxfB8bJyzFq0HLU9Eg4WleDq+Uvx/ewZSNGqw7h3kY/H58Exy358dOxV+OClbRvK/oRSoMZdHZ5CrCQh3LvYpmjNMaQ2JpMdX3y5Fj+s3FHTdvJUKX78aSfee/tapKdXXee4SrmzEItOvYoCx4mats7K/piUfAvUQu5HZbpcHmzcdBTPv/gDqg1fdu46jW++3Yw3X78GnTtFzu/M4/Nh0bHtIfu/Pr4DUzN7I1bKjYkWOc6vvLYqoO2++xfhnf+7FrERMCHnOi6XC3l5ebBazwTtkXvHpKSkJteaYnBjDCkxOzF36S6sPVpa00YW6b/adArL5gxFio67k3gSGHuo0Iybv9xasxhPBNKrB6XinvM7IlrBnQWUUJjtbny18RRe/72q5BZh47EyfLDmGJbdOgQZ0dy43jaEcqsTC/89HbJ//oaTGJ6th5wDgQ9urxeLN5/2O+6+SmDV3kLkG+34ZOaAiDh/uEyF1UXP43lrj9e0zd94CsOy9Hhjem8qYjIie/wgFBjsuPazzThaXCUsEB5bsRcL/lXis+sHIIHDArvL68X2UwbcvnA7yqwu2kYE0nsv6ECFXK2M+/c5JEjo+R/3Y/nO/Jq29UfLkBEtx8KbB0VUoBAZQ77dlhuyf/n2PPRM1oALmB1uPL/qAA0cqoYI7OQaR5xQ/ndpt4gK8uMiJWYHHlu+F7/tL6pp+3TdSUwfkIIHx3WCno3RbWMMOV2GuVPeRUWp+cz+3HkKg8Z2wd0vToM2pnGOuK2BzebE5k3H8Porq2iyBUEqFeG+By7GoMHZkEVAKYuScgsef/tH7D6UV9O2addJ9OmSjGfuHB9RArvRbcfmsuAlhitRie3lp5CqCJ1w29plGO/a/DX2Gwtq2qweJ9468Cf4UTxclzUYAl6gABypzmbhEtbt7lPwVZ4J2HN5SyDmx0PA14HXCIG9uY4/RyS5c4PUXt+7dy++/vrrep/3yCOP0Az36i0npyrytiUg9dQf6345FdJrQx7P7TwRDoeP/PqRazTRyX9zQoR1EmUxcOBAfPvtt1QsJ5ncb7/9NoYMGUIXTT/66CN8//33mD17Nnbv3k1rk3/66ae4/vrrMWXKFFqXvNqOtbjEhEsnT8eO7Vuw5OuvcPkVV8Lu9CC/wEAtckNhsViRk5uHk6dOY9OmTTRTfM6cObj11lsxZsyYgOf7fJVUsDdZHdT23P6fZcmJEyewc+dOv632InBxcTGtTUE+JzkHSJBFaWkpPvjgA9pPji+xJK9NdEwMrpt9Cz58/z1EGudi/R9OLE4n/m/NBj9hvRqry4VfDhyOmM/CVUzuCnx64s0aYb0as8eIxafnweo5swjCaDqtOYbUprTM4iesV0Nu8N/74E9qFc9VzO4KfHXyJT9hnXDQvBW/FnwFpzcwc6H6ul1oM6HAZoLFFTqgqDY2jwunzOX47uRuLD62nWZok+jWplJebqUCb93LldPpwUuv/IjyikAnEa5CJh1kobE+8Z08hwuUl1sw75M1QftKSsw4dvTMQgyj8RnrdYV1AnlM2kk/I/LHECJO1xbWqykyOfHFhpPUNpurFBgduOpjf/tYIpAu2HQaS7fk0HlKMEgGLRGESLal3d2w89hod1HxiAiy32zNwYlSKyyOqrlIUyCW5LUF3mqI0PPCqgOwOCLnd0bGQRKwHArSR74fLkDObyL8BmNnjpHa2zOaBvmN1BbWq1l/rAy/7Stk87w2MH6QufrvB4r8hPVqDhSYse5I4NjCJfIrHLju0801wnq1QPryL4ew9WRFyL+zON10DCk02hs8RhLheH+BCQs2ncIPO/NxusxKx6KmQlxPagvrtX9/JNiJuBdG0hjiqWeQIMkwXKHU7MIPuwKPO2H5jjyUWs6cU4zGsfF4uZ+wXs2SLTk4UHhGiGVE7hjicrixbN4aP2G9mn//OoDcE8XgMnm5FXjufytqhHUC+f/nn/keeXmhxxCTzYFCgxnFRgu8voZdo4koaHLsRL7pK5Raf4fDnYvKyqbPEbbuO+UnrFez40Au3SIJ31n0A7ePO2NIod3oJ6zXZt7htShxsGtcU6isJKXWyvyE9WqcXjIHafocvilEXOb6HXfcgR9//BH//PMPkpOT632uWCymW2sRJ1XjuV7TUeq0wOiyQS6QQOATwGrx1VwU3B4vvdgGq7nQWDIzM7F9+3Y8//zzmDt3LgoKCmgGd79+/WoEZyKgr169mj5nxIgRcDgc1FL+scceoy4A1dEaZNHKYnWiX/9ByMjIwunTJ3Hp5Km0z+EkNqI+CAT++04+ExFGPv30E7qRzCedXo9+fftiyZIluOyyy4IK61anC7klhgAB47777gt4/tq1a2v+v1OnTnR/FQoF/ewkM5/8TXx8lS0hOb7BLsLXz7kNS7/6Ek6HAw6XG1aHC0I+j1r8csUSNxgKqRglQWzhCXKJCHyORDpZnW7sLQh9s/TvyRxcO6APJBysER8pEBt4ly+48HjcehBWjxnyCLLe5jqtPYZUs2VL4MJlNdu2n4TZ4oBCIeGsuF7sDJ7ltsewDufFXQkx3z/jgojqXx7ZisXHdlDBfGRCJh7oMQYZSn3IsdLscuD70/vwv+2/+l3vp2f2xtweo6GX+Lu4nAt5+RU0ez0YYrEAJpcT+blmuvgWq1JAr5BBKuJmJoOQx8fUzF74Iz9Q6CFMSO0KnYgbWaxOl6feSeve/XkYMsQ/gJFxbpBAzLrCejWknfQze/jIHkPI/fXXW0JnGn+/Mw+zRmRw1tp3f74JFf/V+K3LR/8cx+Q+SQFZe6fLbfhg9VGs2JlPx4PxPRJw1/kdkK6X1yuKvL/6GD5ZdyYQjNxOPzSuM64alAq1tPHX9H+OlITss7u81FngcLGZBl3HqsSIVYpp2TAuopGJMLl3El759VDQ/mn9U6CUcGP8IyUEiBV8fYJV9yTmoNVYSDDeV5uCZw8RPl9/Ehd1T6D1iRmROwchNdaJ0BWKxZtzcGG3+CZdI1uSH3fnUzE9GG/+fhh9UzV+2bHEQp6I1q/9dgh/HiiCRMDHtAHJuHF4JpLqyRAvNjvweJ0MXAEvCv93ZR+M7RzTaAt6Etzw9ebQY3iZ1YmcchtKrS6akU9+b8Qxgk8sXjgIOU9ISZTa2eC1ubRPErhChd0VsC5ZDYkPMJJ7E+4bsHGWCpsLnwYJzqrms3XH0S9VC6mIm/dDkUa4xhCTwYY1QZJEqvl92Rb0GJgFLuJ0urFk8caQ/aTv/ocmQFLrvtfhduNYYTne/GEtth3PhVomxTUje2PywG6IUYdel3V6CrC/+DZYXHtq2nhRMnSP+wwqcW9ERTVuDDFZHPj2t11B+8g8p9BowklzKUqdpHSjCHqxHLFS7joDqoQSdFbH46CxMGh/P30auMIxS+jgQ7PHAaunbQZokdLM99xzD91akkoQ3bE8ZL/HZwCfF75SZRGjcpEbzTvvvBPLly/HmjVrkJGRAS5CMtijfHzYzJUgyXeuOhmmLUVCQgLeffdduoWCiOq//PLLWRflqu8pV/26LqCfRMqSIZp8B1WPvSgsN+PjBcsCnpsWq4FcGnxAJ3+XW2wIyJfbd7IQ0Wo5YtTyoPYMDcl8Js+4be4DdKuNTqvBqZw8FJab4Pb4cKqoahFfo5AiViOHoBkDHpoToYAHlUxMLeBrQw5PnFbBmfq/ZGEwQaVEmbXKir8u6TotDWZgNB67N/ixrcbbDJGOjPATVc8CCfndc3P5pAqzJ7Q46oMPLp9/pGGR3Ywb//kah4xnxIi/8o9iXeEJfH/hjeiojg36WjlWA57aFjieLTm+E0Nj0zEhrVujP0Moh5ZevVNx0ZX9MOPjpaiwVn0Ock277bwhmDawBzRybopVPXQJ6KVLxK5y/4WtaIkc13UY0KzBfk1BwOdBpZTAZA6eXZicxGquNxUinjelnxEZ1LfGHkVHEO6OIkeI6BwCo91N67fWJq/ChikfbKDZ4tV8tyMPqw8V44c7hoe0wN+ZY/AT1glkivHSLwcxMEOHvmmNv97U3cdqLu+bhF7JGkx4Z22NCCwT8fHCZT1wftc4KMTcm5YTwYaIH4s2nw6omZsdq8DwDtHgClIhn+4vEcuCEa9iom9TIMfVYAs9zzA7PGfNMGJEAFFkDInMeQhZx9qbH7qu8Mkya4DwfqrMiknvrqN1zQlur4faVP91sASLZg0KaoFP3mfFjvyADFySoX3n4u34475RyIxpXLA7+Qk5Q4whd5/XgQa5jHtrbc3n0MqEeP+avuiXpuVkkJZMLKAlXVYfLIapjmvLiOxoZHKoTIr8LAERZLxmNB6Pt5La64fCZPfQ8xtgxznSqX8M4e56sMPhRs7pspD9p0+VUQG+trh+OK8UM99ZUnPvWW6x4Z1VG7Dp8Gm8ct0l0CsDA329PjtOVrzhJ6wTfJU27Cu6CX0Tf4JEWH8iaSjIfRjRWoLx4B0XYKvoBF7562daD5yQIFXjvUFXoaMqjpP25KRO+VM9J+C69Z8HZKlfnTEQejF3xpB4SeggBWEUHxJ+eIISiVs1KddM90MoRGpqKq677jo8+uijrZ5UkV5HiCePT506Rf9fIpEgLi6OOnITB+yxY8fW+WuiVYZ2hWgO14emwN0rWxAr+AULFmDRokVQKpXUFpxspN421xAL+HTiEQxy08vlLGker2rZrb7F77piuzlETfCCCnPIC7vF4QppREss4ptid0XqWQSL3o1TKJBfaqTCem0MFjsqLHbOWtkR0T9ep0RStAoSkYCK7SQgIDNBDzGHssC1MiluHTEoaB/5Nqb37cnpcz8SSJSmhuxTCbQ0I9hXGTlWcYzgDOwfOnhs4IBMzmatE1T11FTnRwkg5vkvUu2vKPIT1qtx+bx4c8/fsLgDxxfiTrLg6LaQ7/PBwQ0oczTeuj0lRUfHwtqQMX3qjMF4aPmvNcJ6tSXu//22HltPBlpvcYU4qRLvD5uCp/uOQ7YqGilyDW7pPATfnnc9UhTcqHNI0OkUmDY1+BgiEgnQqxd3IpMjFf5ZAinO1s/gPuTaddXA0PcKV/RNgl7BzYxDQpeE0AsTerkIYiHPT+D4aU+Bn7BeTcV/2ZfB5hNEpCdZ66H4bP0JOJtg7TuiY0xAm1zEx8XdE/DUD/v8squJoHPPkp04UcLdsj4ke3PJ7MG49/wOSNPLkBktxyMXd8ZXNw7kVO1lko06oUdC0D7iDhAq0ILR8PWNCT2DH1/CGJKtK2RjSKRDapLXN4bMGJwKFUez1sn4RzJfQ0ECgkhmejWkhMh7q4/WCOu1IdnsW0LYyJdYnPg4RAYu0VdW7QluC9vQzzClX6CoQq69CRoJ3lt9zC9AgIx11322GXkG7pa9SNPJsPLO4bh+aDqStVJ0jlfilSt64vVpvTjldKFXiNAtMfg9SK9kNe1nNB6NTIDzusSF7L+4RzxEfO6Je4xzQ6WTY8ylfUP2XzhlAGcPqVQiQlZ26HM0OzuOPqe2jvDid6uDBnVuOZqL3LLgwV5ubylKrD8G7fNWWmF1BXeLaghqhQQXjega0D6gZypOy0uxPG9HjbBOKLAbccP6+fRfrkIy15eNugUTk3vQYIAemiS8PXA6bu00CmoRd+YhaXIddQIIxvjkHiH7WoOLLrqIOlyT0srE7frpp5/Gq6++Ci7wzDPP0H07dOgQvvzyS2g0Gpx//vnUdbs2UeBDwAsdTCHgqenaQLiIGKWL2JuTWiGjR4+mWdrVG7Ed5xoCHo9m8NaFLM4naVRBs8SI3brL46E2s74G1uhoCfgkS1oZXLiRSYUBWdK2/+qkB8PlJhb4Z07uF154gVq5ky0lIRb9u2bWbLfMvKpO9nzjfxQkkzBRrQoICiCCTKhshjJT0wT91hDY1XIpUmO1SI/TIV6rpMI616LL+qUkYs6wAX7RiiI+H29cfgmSNIG/Cca5oRSoMEg3Kmjf+IRp+KPwB6wqWIoSRyHLYo9g9HoFpk0ZGNCuUIgx55axQcV1g9GGgkIDiotNcDew3mxLoBRqkCTNDtrXVzsGCqH/oteq0/tDvtaagmMwBxHXSdQqqc0eijKHDZ4mBJloNXLceP1Iv7bu3ZKxOTePlkAJxru/b6CRylwlXqbEjOx+WDjmGnxz3kzc230UkjkkrBPI/cVF43pg7Jgufu1ymRivvDQdsTFsDGn6MeZDLg8+sSPtJMjQ6XSy2usRTnasEud3iQ0qks4YkhZ0HkKsyonVLKlZHqqueWvQKU5JhdBg3HleNuJqzVHMTg9+3hPcJpDw675CKqTXhcy1Si3BA4MJpDZ3KFvhhpCgkuDyOla3F/dIwPIdoescfvj3cdhClCPhAklaGe4Yk41lc4ZiyS2DMWtEJhLqsUwOB3KxAA9f0hkD03V+7eR8+uqm4BmojHNjSJYeKTpp0IzOqf1TcPfXO/DN1hzkG7iX/MBoOGM7x6JrEJGRCIxDswLdKsi9A7lukjGk0OQIa8LCuG5xITOMHxjXCVr5GWGE2HyvPhS6jMfKXfk0iLYuZD2pvjGkrsvHudI1QYUBddxTiOD+1caq7K66uL2V+GEnd4N8ScBAml6ORy/pjO9uHYqFNw/CtAEpiFVxK1g8WiGmLgBZMfKAoIx3ru4LnZw7gQCRCLn3JME5wUpKkHG6W6Iat3y1Hb/sLUSRibvBIoz6IQHxV8wahej4wDI8wy/piaTMwDGEJOQVGczIKzOi1NT4BImmIhILMHX6oIAkCwJpm3rlIPqcaixOF/bl+DuY1GbDoeDXbB9IomE9Ooq38XXpiT4wZkAHJMX6H/8Lz++Mr/O2BP0bo9uO/YbGB4W1NCK+ANmqWDzVayIWj7wZHw65BucldKFZ7VwiTqrCx0OuRXSdbPqB+nTc1WUspILwBWiREhGkjHJaWhpuvfVWKl7/8MMPqKiooFnsWq0WMpkMF198MRXga/Ptt9+iW7du9DVIpvnrr7/erPumVCrpvpGM+pEjR2LevHl44okn8OSTT1LBvZqoKD5EfBL8EuT3GSWBy81HfrERVhtZy2p9N0bupL2eBa5mFQeDx+NBLZVAIhSi1GqlizgykRB6mQzCOnZNdCHT7UFRhRlWh5ueJiq5hNqii8KQlUwyi6OjlVTaNpsdNRK3QiZCXKw6oN56fZYvhNq9xNph2rRp9P9JvfP8WpFcxAKiGrGQf9bXrfc9ST12sQiZ0TqUmC1weDxQiMX1LhYSQT8SrOzqOgdwDZK9PmvYAFzeuzuOFJdSpwbyPcQo5BC3suVIW0QmUGBi4lVIkWXi96IVMLorkCRNx9jY8ThmOYgNZX/S560pXoU7OjyBdDmrTxyJKJVSXHXlYAwalIWl32yGwWDFoIFZGHdhD8TXmajYHS4cO1qMd97/HUeOFNGa4Jdc3AtXThuEmJjWr5+kEGhwddoD+C7nPRyz7qZtPPDQWzMKY+OmQ8TzX5jQiEMvdiuF4v8sjP2RCIQYlZCFfwqDZ430i06GQtD4BRCpVIQJE3qjY8d4LFi4HoWFJgwdko1NhtB1lHLKjXBx3FKbjI3REu5YZ4XKXr/rjgtx7YxhOHWqlP4WEhM09L6EKyVQIhli/ZWUlIS8vDy/2utEWNfr9Th+/DgN8CSPyfNEIpalE4mQTLAXL++BaacNtA6y3e3Fpb0TaZ3cujVkjXYX/j1ejhd/Pkgz9cii583DMzB9YApiQwTbtiREsP169mDcsWgH9hdUzRPEAh5uGZmJiT0T/Ra8SH1bhST0vaVSIqDPCWwXYlCGDifLggdEjegQDVkTMnCJePPo+C4Y2yUWH/59DBVWN7W/nVdPrdFjJRZaj13WyDq9rQG5BnMpyzAYRED/YEZfFJmdOFlipTXtSaZkPBPWm4VE8vucNRgf/XMc32zNpUEoYzrF4Loh6Xhm5X7syTNSsTJVJ8PiWYORpGUBDZFIvFqCT2f2x/ojpVi8JYfeiV8zOBVDMvW0vndtyixOGsj01h9HqItInEpMbcAv7BrnV9u8tc/R2xdvR055lcitFAvw2Pgu6JnsP4ci44lczEd5CC1HLREGXZMiDg19UjXYfsoQ9O9GBnEvOReI6PzuNX3x+/4izN9QNYaTjPyP/g49hpDxkiSScNklkKwLxaq47W5BggAWzx6MAoMDeRV2On4Qx4CYMNwPtUVStDKsuH0Y3vrjMHV4IL+vS3ok4LI+Sbj/m100MGXN4RL0T9PS30A8xwIwGA0jLlmH17+5A+t+2Y2/V+6EVC7GZTeOQMdeqdDo/YPlS0xWfLtxD776ezt1xE2P0eK+SSPRNzMRKlnrf/+JSVo899I0vPLijzBUVA0OGq0cDzw8HgmJ/kFP5PwlQSOhki/UIfafHyWHiB8bUkRXiAMzz8+FuGgV3ntiGn5eux8//bOPrqclJ2pgzA8d+HXMXILz4Z/gwDWIOB1Ogboha22d1PFYMmoW8m1GlDrNSJPrESNRci4QQCqVoqysjFrGEzGdCO0qlQoPPfQQLrnkEuzfv59ayG/bto1qeCTTffr06diwYQNuu+02um5E/raluPvuu/Hss8/i+++/x4MPPljTzosSQybMgtNbCK/PgijwwI/SodKnRus/Y90AAQAASURBVG6hhd4HmW0O6uAQq1MG6JctCXdn8BEOubGViXhIFqioPRS5eQ92c06E9xOF5bS+EoH8Y7Q6qPicHq8LS+0kEgAQF6NCtE5BT04SLEBE3WAL2zJxaFswpUzs9zc6nY5uBLfHC3lRBf38dYnTKptc/7zm+GvVVDQnx95eT5Y9nx/8+2GcOySQgWxpOm5lRbYVlEI1hkdfgJ6aAXB5ndhl3IxVBd+gzHXm5sxd6caCU+/jrg5PQSVk30MkolbL0Kd3Gjp3SqCRd7I619Nqjh0rxt33LagZQ5xOD5av2Ia9e3PxwnNTaRZ8a6MRxeDKtLmwekxw+uyQ8hVQCNS0bEFdLk/vic8Obw76Otdk9UO0JLiN6/lJHfHuvnWocPlPEgRRPNzVbQTkwqbdeKuUUvTvl4FOneLhcnohl4vh3LoHv+31j+SsJitWzwKImgmVSkq3tFTu1PJtSxDBPCUlhdZXJxsR04nQnpubW+OcRB4TAZ48r7VrcTGaB7IQTMR0kmVIalgS0byu2xEJLP3zQDHuW7qrpo1ker/++2HsLzThhck9/LL8WgtSq/bLmwai3OqCw+2lNsVE1JXUEbxJpvJNwzOw9kjwwCfSp5YF7j95ndkjs7BiZ35AbVsiwlzWN6nJwTwkA25Cz0QMzdLTOrxSIQ/rj5ViX4h6wF0SlPTzMJoOEfTIRrI/GS3jYvD4+K64dVQWrZ+74N/TuH3hduokUc3pchvmbzyJB8Z1DOqUweA+JFBlSv8UOo4QglnB210eWkaDWJVXU2Ry4pHv9lBx8tbRmZC2csAQWbPqmaLBt3OG0jGEZJ6TjGMSaEPcDWsToxBj5pB0PPfTgaCvRQIKgpUapAFUF3fB1I821sy/qiEBbH1Smj73JkEMMwan4eLu8TRTnuw6yaDemRNc0O+bquW0sB5JkMBCsvVqhu+R4Q+5D82IluPFy3rg4Ys609/oJ+tOYNaXW/3ux7aeqsD6o6W4om/j6k4zwk9skhaTbxiBC6YMoPfUsmDOi1Y7nl/2J/7ac2YMOVlSgbs+/R4vzbgYF/ft1OpOrWKxEP0HZOKDeTfAaLTRa7xGI4M+WhmQ0a5TSDG+X2es2Lwv4HXIbg/rFLykHcm+Tdc+gMOlDwT0KUS9IRb4u181VmC/9tKBmDSmB9WY3CIPzagudVpCWq8zmod4qZpuXIQk9/7555/49ddfaZb6ihUrsH79egwdOpT2L1y4kK7/kPapU6fijTfewHnnnUczyQkdO3akwjuxlG9JcV2n0yE2NhYnT570a48iJaCjpJBGpaKy0ktLPpeU22Gxmfy8r40WBzRKWauK6+wOrKUP8H/CdDDhlixilhqtATflBGJRbg1Ry7w1IAMgsXQhNUXEIkHIRSby2ZKiAy8cpC54nEYR8iafCPipcVqoZGK/v0mJ0UBaj2B/zp+Dx6OTevIvsVEPlfkdrZJzPiucwaiG3GSqhVoYPRVYmb/YT1ivpsRZCKvHzA5ahEOyqEn2brBrMLnhf/f9P4KOIUeOFuF0ThnChUygRIwkCcmybOjF8UGFdUKSXI17u/tbsBO6a+MxPasPBLzgN0TJcg2WnHcdhsWl17R1Usdi8dhrka70t4RtCkqFlAYoSCRCjO2aRV1ognH3uGHQylmGFiMyIII5sfYiNvFk0lJSUhJQkogI7ER8Z0Q2JLNbIxMFXZwqMjvwwqrgogKxWyd1ZcMFEac7xinRM1lDa2XXFdar6Z6kphlPdSFZkwMzQo8FJLP2mzlD0D3pjAA7MF2LZbcORbKm+WpzU1FHKYFSIsJNwzODCjWk6ZZRWSE/I4PBNUQCHnWZ+HTdCZpZW1tYr4bYw5dZQge2MyIDIqqHqrFeYnFh3j/Bs6mJa0epxYVwQbK/Oyeo0CNZQx0U6grrBDIuTuyViAHpgXXaZ4/IRLo+dKYZCd758saBVCisvo6TcYdkPTdnyQwSKEQ+i14hobb2wSCZ9Bd1Z8III3KQiQX0/vTplfuwfEdeQKAjgZRBMNjCdw1hNI8WolTLggrrBGIBX1tYr81rP/yDYmN4LOKJiB4Tq0J2h3h06BhP/z+YVbxEJMStFw1GanRgIM6TU89HjCr4GELGHp10LDpGv/6fzTVx/BUhTjENXWPfhYjfPAkGRAPRaeTQa+SIlSppjfJgkMzqjurQteYZkc+PP/5IyzMTx2giqpMsdCKOkzWhQYMG1TyPZKR36tQJBw5UrQ+Qf4cNG+b3WuQxyXZv6XWiysrKkME1xCLe6+PjdIEJZpszaFFpg9neqg7oLEQ+jJAoVJKhHgpykqjlEjoocXrAlIqQlaiHyeqgligKiZgK5HUt8OtCsvIT9CrEanz0x0BtVVowsoS8dlqcFnmlRjj+q2tIfqt6lZweZ67VL2cwzoa3sv76nL5KJoy0Zex2Nw4fDl1vdsvWEzT7ncuoRBJc22EAzUT//tQ+GFx2jE/pgo7qGDoJqI8sVTTeHXoFKpx2+OCDSiiBXtJylksJGiW+mDUVcxf/RG3gCaQEyQPjR6JHMpuQMCKPs02KmLjetjE7PPWKHwcLzVTg5jJEhH98QhfMHJqG5TvyqePW5N5JSI+W075QkIBeItwTccRo91DbY41MSAMRWoo0vQyfzRyA+5ftojXuq/ZfhFen9KJWtAxGpOEKIojUrgNN/mO0XcotTvo9B4OUDCizOmlwFJchGeLvXdMXx4ot+GFXPuSiKvcSkoFe33hAxMERHWKw5JbBsDg8NElDJxPVW6qkqfRIUuPVKT3x7I/7YXJUrQGk6KR496q+ASVfGIxIWAsPdf0gENeJSCjbyWg8B/NKQvYR4d3scCIO3C5pl6BV4dPbp2B/bjHW7D2GWLUCF/fphDiNEjJJ6DFEyFcjVj4JGskgeCtt4EEEIV8PPq9lruW8KB4uTOyKcqcVnxxZB6evagzprIrHa/2nIIGjmdaM5mHMmDH44IMPqINhYmIiFdWJFTxXKSsro8kfGRkZ9T6vviGitUuLM3E9jBAtl2QwBHFGp5BMxUgQfInALubxEKNRNCqaqjUtrEj2emqsBh4y4a8kFltR1II+WCQag8F1okVx4JOorSAiukqggVzALDHbMuS6RTKqHY7gmUE6bWQs1qtFErp11sQ1SpwnW2tAxqpuyXH46pZpqLDZ6aSfZKvHKOXM9pQRkZDM9ab0MyIb0VkcmzQhshW5hl4uplvvlMDsw4ZklpOtNSCZ6aSe+w93DKNWqPT9ZSIq7rB5CCMSubxfMr7bkRe0j9hZk4AVRttFfBa3DXEYyhs2xQZ8SFZ0I/8WrQJxEJjcJ4mWGym3uSDk8ahFPRlDGIxIgwSvXNE3KWSpA+JKRMoCMdouGnnoaxeRQSJlDCFCOtnGdM86p78jWo9Y0HquI6Tu940dhmFSSi8Y3HZIeALaxrV64IzmRy6XIzs726+tS5cu8Hg8+Pfff2ts4YmofejQIXTt2rXmOcQ2vjbkMbGHb8l1ov/7v/+jOuPkyZPrXZtVySWoMNuC9quV0lbVU7mbEt0OIKIuyZoOhU4piwhxPRKPu4RY3ouFEAkFbEGLEdH11ycmXhXQHoUoTE+5mdVbb+NotTJMGN87aB8ZOgYPOrcbfEbDiFEp0DE+Bt2S4pCoUTFhnRGxkEkRmWwFg7Qzcb1to5OLqNgbDIVYgMwYttjS3BARndQy7paophuxD2bCOiNS6RinwJDMwPILaqkQt4/JhlTI8jjaMnq5iJbYCOXUoVcwYay5Ifb2SVoZeiRpqO09E9YZkcz5XeJqSivUhjgyXNIjga2Ft3Ey4/SQhSgJO7xzOjSs5F6zI+ELkSzXorsmEdmqWCast2M6dOiASy+9FLNmzcK6deuwa9cuzJgxA0lJSbSdMHfuXFqj/dlnn8Xhw4cxf/58vPvuu7j//vubbT/MZjMKCwuRk5ODf/75B7Nnz8Zzzz2H559/PiAgoDZk/qzTyIIm65LrCilv3ZowcT3MyEk9XWlgxkSMWk5t0xmMtorN4UJOiQGHckqQW2qE3cnq8p0rIp4YA3WjcFvWY8iSd4ZGqEN3VV/c1+k5dFB2o/Y/jLaLUCjA1CsGomPH+ABh/ZGHJtJa4QxGW8VstiMntxxHjxWhsNAAt5uVwThXiCUYmUDVFdjJY9JO+hltF5IF9/zk7kjW+lsQigU8fDKzP+JZNhyjDVNmceJosRkHCkzIN9ipRS3j3LN237qyD56/rDs6xCqoNfWNw9KpOwMRVxltG1IL/KNr+9FgitqQxx/N6EfPDwajrVJsduBQoRkHC00oNDrCvTsRCQkwXHjzIDw4rhPS9TI6btx3QUd8PXsIElmpgzZPrEqOt2+6NED3SNKp8MgVY4PqJAxGW4C4KFe4jPD4PHB5XfD4wrOO9fnnn6Nfv36YMGEChgwZQvdr1apVEAqr7uv69u2LpUuX4uuvv0b37t3x5JNP4plnnqH12puLJ598EgkJCVRIv/baa2E0Gqmg/9BDD531b0mybHqSDjq1nJaBJk7VcXoVEuM0LVpyOhhRla1tRB9GTCYT1Go1/bJUKn+7ZIfDgRMnTlBPf4mkdScCHq8Xbo8PZruT1h0ngwip20Rs4SOBp59+GitWrMDOnTvDvSvtmnCew+dKscGMt75bi9+2Hqa1lMj5Pnlod8wePxjRapYp1RhsHivclS6IeRJI+NJWuW62N7h6LMrKLcjNLac11okV/MCBmdDrFJBKWcYIo21SUGjAa2/8jB07TtHHpDzC1VcOoU4OGg1b0D9XiCUYqa9ONpKtTrbmEta5et0MB1w9FgVGOxUYt52sQKpeRq1x41ViFuTLaLMcLjLj3iU7sS/fRB8T+/InxnfF+V1joWb3To0OVvBWVtJyEs2ZIMDV62Zrw9XjQJYSSXDK9tMGOo50TVShT4qGCmPMgZHRFnF5vdiTa8R9S3fhVFmVHW2CWoKXr+iJARk6SM9SLoERCAluO1MuR9hs6+BcvW6GA64eC7fXiyKDBVuO5OB0qQF9M5PQMTGa2qwzGG0Ru8eBvabD+PrYSlwqHIW4lARIpVLEivUQ80Ts3qkR+HyV8Pp8IL7fgnOcg9Sno53LdZOlpHDEppxsxKa8MZSUlNBoj59++glFRUXQarXo1asXbRs2bBhaGmIJceedd7b4+zDaBkarHc8u+APr952safN4fVi2djcNNLl/6mjIJEwUPFdkAhKUwAIT2iNESCdbr56p4d4VBqPFKS0z4+FHltKs9WocDjc+++IfSKRCXHZpv4gJTuQKREhnWertF2JTTraxnePCvSsMRouTW2HDtI82wmA745hF/n/uN7sw/4YBGNUpln0LjUCvYBlm7REioBObcrJN7JUY7t1hMFqc3HI7rv74Xzg9vpq2AqMD13++GT/dNQJdErgjXEYKfF4UYpRsDGmPCPl8JOvVdGMw2gO59kK8fPAj6KJUwH8SoMvnRr69GCmyeAijGqcLtmd4vCjweOENbGOrj82MzWNBkSMfJ61H6b/kcUtzxRVXYMeOHbT+AamD8MMPP2D06NEoKytDa6BQKKDX61vlvRiRT4XZ7ies12blpv0oM1dFADMYDAaDUZeCfIOfsF6bBQvWo6ys5e+7GAwGgxGZbDpe7ies1+alXw7SDGwGg8FgMOri9vqwaPNpP2G9GlJZ5P3VR2FzetiBYzAYDEYANo8dX5/+EZUINBD3wQezx0YdgSKRhQsXUm0w2NatWze0dZi43oxUuMow/+TbeOHAXLx5+An67/yT79D2lsJgMGDt2rV4+eWXMWbMGKSlpWHgwIF45JFHMGnSpJrn3HzzzYiJiaFWBmPHjsWuXbv8bN179+6Njz76CCkpKZDJZJg2bRq1PqhmzZo19HVJHU6NRkMz4k+dOuX39w15LoNRarLWawllsbFFLQaDwWAE5/jJkpCHxmR20Cx2BoPBYDCCsflE6Hn5wUIzXEFEEwaDwWAw7C4vdpw2hDwQe/KMsLqYuM5gMBiMQBxeJ07YcurtDya8RwKTJk2ipaKDbaSOe1uH2cI3EyRD/evTH+GgeY9f+0Hzbnx9eh5mpt8JmUCB5qY6EoTUPB88eDDE4kA7nalTp9IaDj///DOtF0BE9PPOO49muet0Ovqco0ePYunSpVi5ciWtK3DTTTfhtttuo9EnpBbn5MmTMWvWLCxevBgulwubN28OWgviXJ7LCA8ujxclFgtKrTbwo3jQy2WIVcrB57VOrI1KVn89eKmE2aAwGAwGV3E4XCivsMFQYYVIJKA1zqOjW68uWkK8JmSfWCyASMxubRkMBoOrmB1ulFpcqLC6IBfzoZeLEd2KdrAd40KPV0kaKbWnZTAYDAY3MdhcdAwx2d1QSYXQK0TQylqnpKBEyEdGtAzbTlUE7U/RSulzGAwGg8FNDKVmGMossFudUGnl0EQrIFdKW+W9hTwBYsQ6GN3moP0ingBRtHJ45KFUKunWXmErkM2E2WMKENZrC+ykvyXEdVIj84svvqBi9ocffoi+ffti1KhRuPLKK9GzZ0+sW7eOitvFxcU1wvtrr71Gxfhly5Zh9uzZtM3hcODLL79EUlISffzOO+9g/PjxeP311yESiWgW+4QJE5CVlUX7u3TpEnR/iDDf0OcyWh+T3YlfDhzGC7+tgd1dFVWrlUnx+mUXo39qEsSClr8k6FUyZCfqcTQ/MHNkcJdU6JSyFt8HBoPBYJw7BoMN3363BUu++Ree/7L74mJV+N/TlyM7K47WO2pp0tOioVZLYTTaA/omjO8NnVbe4vvAYDAYjHOn2OTAiz8fxIqdeah2PewUp8SH1/ZDRnTrXLsv6BqHV345BJc3MEP9zrEdEKuqPwiYwWAwGOEh32DHA8t2Yf3RM+tIgzN1eGNabyRqWl4cEQl4uHFYBpZtywvaf8fYDlCyRBEGg8HgJPknS/HsbfNx8mABfUySQEdN6o1Zj0yELlbV4u+vFCowLWU8XjjwfkAfWUVTCRQsMTVCYbbwzYTda2tSf1Nrrufn59Na6xdddBG1ZSciOxHdif27xWKhNdFr1zw4ceIEjh07VvMaqampNcI6YciQIfD5fDh06BDNbr/++usxbtw4TJw4Ef/3f/+HgoKqi1FdzuW5jNbnYHEJnvjpjxphnVBhs2P24hXIM5haZR/0KjnemHMpMuKrXBOq6Z4ejydnXHDWzHYGg8FgtD6k/tOGjUewcPHGGmGdUFRswtz7F6O4+EwpmZYkJkaJ1165CtF6/4DF4cM64sppg2k2PYPBYDC4hcPtxYd/H8PyHWeEdcKhIjOu++xfFJkcrbIfCRoJ5t84ACrJmbGCGKzdMCwd53eJbZV9YDAYDMa5Z6w/9O1uP2GdsOl4ORXciRtKa5Cml+Ot6b0hFpxZShfyo/DkxK7onNDy4gyDwWAwzp2yIiMev/7jGmG9en1rzfc7sOT9P+FqpdKCHRUZuDJlIqJqybE88BAviYGAx9axIhX2zTUTUr6sSf1Nwe31whMVhR6DBqPPkKF48JFHcNstt+Cpp56i1u4JCQlUcK8LqYfeUD7//HPcdddd+OWXX7BkyRI8/vjj+P3336kVfVOey2jdrPV31mwI2ufx+fDNjr24/7zhrWIPnxyjxkf3TEGp0YoSowVxWiWi1XKWtc5ghIHiEhOOHCnC3r25SErSom/fNMTGqCAQMFs7xhnKyy2Y/9W6oIfEanNi995cxNdj2d5ckAjjrMxYvPfuTJSWmGEy2xEfr4ZWK4eqlSy9GAxGFT5fJfKNdmw9WYF9+Ub0SFKjX5qWZpCxklCM2pSYnVj47+mgByWn3I6cchviWiFrXMTnY0C6Dr/cMxK5FTbYXF6k6+XUWphlHDIYrV+urtDowD9HSnG63IZBGTp0TVQhQc3u5xj+lFlcWHukNOhhIYJ7mdUFrbzl7eHlYgEu7h5P73XIuOWtrKSCe4xCBCkL8GUwWhWbw4XScgvWbj8Gg8mOwb0ykJ6khV7T/K7BjMimKK8CBacD3XMJP3/9Ly67aRTiU/wTAFsCpVCOCQljMUTVG2W5JYgTR0Muk0MQxWdz5wiGievNhFKgQmdlT2oBXxfSTvpbSlg/VW6Ao1YmcqHJgswOHWH9/nuawV5YWEjt49PT00O+zunTp2n2e2JiIn28adMm8Hg8dOrUqeY5ffr0odsjjzxCM9sXLVoUUjA/l+e2NUj0k6+yktp6kGPIFRweN06WG0L2HywqoRNcqah19pmI6WTrDJYlwmCEi7z8Ctx3/yKUlJyp+yMU8vHyi9PQvVsyE9jDgNvlhtPmgkgqgkgsBFdwe3x+50ldjh0tAs7v3mr7ExOtpBuDwQgfBwpNuGreJpgcZ+YhaqkQS2YPZhlc4cLjBNx2QCQH+NwZQ+wuL5y1XE/qQkSK/uktv6hFEPB5NACkNWyEGQxGcMi6w+YT5bjhiy1we6vsLOb9cxzJWikWzRqMVB0rFRcOiMOhy1MJhVgAfiuUe2ooprNkFZpbKeuQIBbykaKT0Y3BYIRPWP9z4yG8MO+3mrYFK7ega2YcXpo7GTE6JrCH5XtxueDxVUIpFnFKLC7KKQ/Z53Z54LC3jvsJQSoQI1qshZlngEQgprXYGZFNs6loxH6cz2+/WW6knvqVqbOpkF4b8pi0t0S9dSLgHjqdg2smX4qV3y7Dof37kXv6FH5d+QPefON1TJg4Eeeffz4VtydPnozffvsNJ0+exIYNG/DYY49h69atNa8lkUgwc+ZM+j2uXbuWZp5PmzYN8fHx1EKeiOQbN27EqVOn6OscOXIkaC31c3luWxTVnR4Pis1WnCyvQK7BBCsdWEIvJLUmUqEQWTGhF626JcRCxNFMVXKuF5rM2FdQhN15hdTCngSWMBiMxmM22/HGmz8HCKZutxePP/ktysos7PC2IsSK6tSBXHxw33w8evHzeHvOPBzbdRJ2S+tY5Z4NoYCPuDh1yP6OHeLBVTweL4qKjTh4qACHDheiuNgEb5B6uwwGo+EQG+9bvtrmJ6wTjHY35izYhmIzN65d7QanGcjfCXx/B7DwCuC3J4DSI4C39RaL6kMm5kMiDL30kKpvnZrrjbW0J+L/ztNVDg1FRnZuMxhNpdjsxKwvt9UI69XkVtjx1Pd7W1UsZYDaqv97ogx3Ld6J6z/bjPf+Okqve2SNiwuQwL36UHG41rnV6cGpMit2nK7AoUITSs3OcO8SgxHxlJRb/IT1avYfL8KSn7fB7WHrxa1JqcWK1UeO47ZlKzF76Qos3LYL+cbWKT3bEBJS9SH7xBIhJNKWdz5pLF6fFy6fGw6vEy6vmz5mcItmDY/gyo1XuNCK9JiZfifMHhOtsU6s4EnGeksI6wSP1wd3FA89+vbFVx/PQ+6pk/C43YhLTMIVV8/A448/RiOFVq1aRcX0G264ASUlJVQwHzlyJOLi4mpeKzs7G5dffjkuueQSlJeXY8KECXj//fdpn0wmw8GDBzF//nyUlZVRm/nbb78dt9xyS8A+nctz2xpEWD9eWkGFYIIdHpgcTsSpFNDJpK1it14fSokYd44cgo0ncgL6hDwerujVLez7GAyX14sdOfm477tVKLXaaJtMKMQjF47CRV07QiURh3sXGYyIxGi0Y8fO4BatNpsLuXkV9YqpjOa9f9q34SAeueh5eP+bCB749wh++/JvPL7kPgyZ1B/CMFsN6vUK3DBzBF565ceAPoVCjG7dk8FFbDYnNv17DG++9Su1ryeoVFI88tAE9O6VCjGH3AEYjEiizOKkIkgwTpbZUG5xIVbZ8jbfDBIV5wAOrARW3HrmcORuBbZ9Bly3EkgdFPbDRM6FmUPS8dE/xwP6MqLlNFuVq4LTki2n8eYfR2oy7xPVEnw4ox+6Jak5ldnJYEQSh4vMsLuDLxCvOVxCbb5ZqYbWwWh34eO1x/H+mmM1bTtyDPh0/Ql8e+tQZMeGPwOUlO4Y0ykGqw+VBPSN7hiDaIWIsyVR3v7zMBZtzoHXV7VO2DFOgQ9m9ENWTPiPK4MRqfyz9UjIvuV/7sa0i/oiVs9c7lqDUqsV//v1L/x66GhN2/bcfHz27zZ8NWMqktQt4+R8LsQmaZGUEYO8E4FjyPgZQ6CL5ea54vF5UOIsh9V7Zs4t5UsQK9ZHbMb7008/jRUrVmDnzp1oKzT4myDCa30YjUZOWT6ECyKkt5SYHkglhCIx7nnkMbrVRSSqEh2VSiXefvttutXHrbfeSre6EBF++fLl9f4wyNaQ53JBwKjOJBfweM12zpLXzDeaa4T12hSZLFQA5oJw3Sk2Gq9cOg7P/LIaFmdVJkusQo7XL7sYSVpuimgkS/2mhd/BXcsBwOZ244mf/kCaToNB6Slh3T8GI1IhGepny2xn+ONyeWiNb14UD1qtrNnGkLL8Crx83bs1wnrtMev1m97HvN2vIy4tJuxfx6CBmbjxhpFYsHADPRaEpCQtnn7yMsTFhn/SFIzTp8vw3As/+LWZTHY89sQyfDLvJqSnRYdt3xiMSMZRj8V3Q/rbIzaXB2a7BwJ+FPSKZgwOtRQBP94T3CJ+xRzghl8A5Zmg6nAgEvBw84hMmB0eLNl6RmTomazGO1f1aZV6641hw7FSvPTLIb+2fKMDV368Cb/eM5LZAjMYjcRgC52ZTpZUSDkihj8km9/m9NLraXPWFy82Of2E9dpONM//tB9vX9Un7IEOaqkIL1zeA0+s2Is/DhTXtI/tFIPnL+8BtYx74jpxWlyw6RS+2uQfzH64yIIZn/yL724digRWnoTBaBTlhqrEq2DY7K6ga/PtHbIGQtZwJBIhFIrmu+8+XlbhJ6xXk2s0YdG2Xbhn1FAIw+x0rYtV4dnPb8ZLdy3A4d1VCYc8Pg8XTh2AK2aN5lQ5xmq8lT6UOiv8hHWC3etAkaMU8ZIYCHjccx8ePXo0/v77b/r/YrEYmZmZuOOOO3Dbbbe1+HuTxN5PPvkEX3/9NaZOnQrOiesrV67EBRdc4JftXBsvs2hudXhRUZAIBX711mujEHPvBjPcdb0qbHYY7FUXJo1MCq1U2ixW6F6fDzZX6Aki6RMLwh9VpJCIcUm3ThiQloxyq51mW2hlMsQp5ZwMjiE3RMt37fMT1mvz9pqNeH96DNRSbi7IMRhcRq4QQ6ORwRBiYpKRHn4xlyv4fJUoKDRg6dLN2LDpCMRiASZP6ovRo7sguhkioo0lJpTlB68DZTPbUVZQwQlxXa2WYdqUgThvbFfqfCAS8qHWyKDnaE0zu92FrxZtCPmdrvh+G26/9XwIhdyblDAYXCdaIYaQHxVg6UsQC3jQN+PCf1uYg5woteGdv45g0/Ey6OQizBmVhREdYhCjbAaRvfx4lZAeqs9eHnZxnUA+62Pju+CWUZlUWJOJ+DQbUSfnpgtVqcWJN34/HLTP5vLi78MlmDE4rdX3i8FoC3RNCB2UGa+SQCkJ/9oJV7A6PDhSYsbrvx3GgQITkjRS3H1+R/RJ1UDbDKLyP0cCM/lquwiQ63W4xXVCglqK16f1ps45JFCLnCNkDCHCO1dLH3y67kTQvgKjAydKrUxcZzAayZA+Gfj65+1B+3p0TISUg2JpOEX1wwfzMf/ztSgoMCIjIxrX3zQKGZkxkMnETV6zX7pjT8j+7/bsx3UD+iBOqeCENfwzn90EY7kVDqsTCo0M2mglpBydh3grvbB6g6/VOnxO+Cq9MBudMJRaYDXbIVdJodEroFTLEG5mzZqFZ555BjabDV9++SV1tNZqtbjqqqta7D3JexFR/cEHH8Rnn33GTXGd1My+4oorcNNNNwXtJ+n8P/4YaBXKaDkEfD4SVEqcKKsI6COiO1frZ4dtUausHO5aNVZLzFYYbHZk6HUtfqy4FDNHIsYS1Sq6cR2Xx4P9hWcik+tyorwCDo8H3My5ZzC4DRGFb71lLF58OXDsHjO6C3Q67tY/bW3y8ytw6x3zYbWeES/e//AvrP77IJ556nJqmd6SZXV8HKoPLhIJkBCvoRvXsTtcOHWqNGT/sWPFcDrdTFxnMBoBsWCdPTIT760OzHa7bXRW84jGbYQDBWZM+XBDTSBCqcWF+5buwqW9EvH0pG5Nz0Cs9DWtvxWRiwV0Swtd+pAzkMzZ46XWkP27cw0AmLjOYDQG4lYxrlscft1XFND3xIQunHWzaG1IMChx0Jj11baaNjKG3PjFFsy9oCNuHJ5Br6lNe4/QfWSKUsmh1SxSe/1s9de5gsPtg8UZPBGKcKzEgqHZzEGLwWgMmcnRyE6NxtHTpQFJiHdfOxpqJTfLDbU2Docbv/68Cx+9/1dN244KK3Zs/xKPPzUZI0Z1Bp/fNJddbz1rWT6fj44jXEGtU9AtEvBV+kKOvlGIQkWRBW8/sgzb154JBO47siPueXEaYhJabq3ObDZjzpw51NpdpVJRMfv7779H79698dZbb9WUjCYlqQnE6XrRokX44YcfQorrJNv89ddfx4kTJ5Ceno677rqrJtP9xhtvxNatW7FlyxaaCe9yuTBo0CD06NGDCvfVfPPNN+jatSsefvhhJCYmIicnBykpreN03OBfUL9+/bB9e/CoIAL5gKmpqc21X4wGIhUKkBGtpf9WDyR6hYzaZTfUdoOc6G2p1kEw0cLkcPgJ69WQNtJ3NmHjbPCjeDSgIRRyYWRMALiGSCBA1/jYkP0ZOi0kHHAEYDAiER4vCkMGZ+O5Z65ASoquphb1rJtG4/Zbz4OSTUgoDqcbCxdv9BPWqzlwIB/HjocOAGoo6hgVNDHBA54kMjFikiNAheAgUokIafXYvmdlxbKa6wxGI5GJBLhxWAZevLwHzTKsrkX92pSeuHZIGiTMEYJSbnXhie/3Bs3w/35XPgpNjqafg/osgB9irqFJBaRVYzzj3BDyeciMDh1o2DOZ+0FmDAZXIUFFz07ujrkXdoRGVnX9IrW9v7hhAHX14KKrXjgoMjvw6PK9Qfve+vMIzeJuKiM7hr5XHpKpixgxm2tIhDwo6gl8YDXXGYzGE61V4LUHL6e11SX//c66d0jAR/+7iorujCoqKqz47OMqi+66vP3WrygrszTpUBENakqvbiH7J3TrDJ2MBTo07tjyEOpOSGQXBQjrhO3/HMZbjyyF2Ri6bEJTue+++7B+/Xoqlv/+++9Yu3ZtvXoxQSqVUlE8GAsXLsSTTz6J559/HgcOHMALL7yAJ554AvPnz6f9pMS11Wqlojnhscceg8FgwLvvvuv3Op9++ilmzJgBtVqNiy++GF988QVaiwarUh9++GG91u8ks51EGDBaFx6PB7lIhDSdlka1kEkIqe1NLnCMKkhNP4M99MIV6SMW8YImHDMBn4cktQrHy8oDorKiFTLazzh3yHl8ea9u+GzTdlqzqi53jxnCLOEZjCZAai0NHdIBnTslwOX20vGDZKw3NXq1LWE2ObBufXBbWMJvv+9B/34ZNFihsegTtbjv01vx1KWvBAR73f7OjdDGsQX8xiCVinDdNcOwcWNgDTDyfU2+tB/LWmcwmgCpG37lgBSM7RxLs3yFAh7LNgxSI3d3rjHkMVx/tBRd6rFHbhDyWOCC54BfHvJvJ3X4Jr0DqBKa9vrtlGilGHMv7ITbFgYuGMlFfIzqGP5yLQxGJBOrlOC2UVmY0i+ZrtlIBHz6u2OcgViyl4QQ0MkxO1lmQ6q+aW5jcUoJrhmUioX/+tcGJ6U7nprUjbO265Fwft80PAP/9+eRgL4EtQQZMcwljsFoCnF6JW6/egSuntCfZkjLJCKWsV6HkmIT3O7gWp7JaIfJaENsbNPmIR1jojE0PQUbTlbVMq8mRi7H9QP7MlflRsKP4kPOl8ESxBreY/QFCOu1BXZiFd8S9vAka52I3iQT/bzzzqNtn3/+Oc0UDwbRkRcvXozdu3dj9uzZQZ/z1FNP0az1yy+/nD7OyMjA/v378dFHH2HmzJlQKBRYsGABRo0aBaVSSbPjV69eTbPmqzly5Ag2bdqE7777jj4mIjsJAnj88cdbJVizwavnJDOdpPU3lJdeeolGEjBaByLekixfkq3OhHV/yO+ovh8TOV7N8VMTCwXIjtZDK6uq4y4XCamDQLRcRgUrRuNI1Kjw2dWXIUZxZvJBju1zE85H59jQWe0MBqPh6HQKxMepEROjZMJ6HcjwQWqLh0IsFjZJWK8OlOszpjs+2PYKRk0bipROiRg8oR/e3vg8Rlw+CCIO1DmMVIgrw+OPTYK8Vi0ttVqK55+dgoR4VlSEwWgq5B6b2Pcm62RMWA8xz6hviGiWDH+RDOh1JXDDz0DWeUB0B6DHdOCWtUDKoKa/fjtmSKYej1zcGWLBmbkcqXe8ePZgJGpYJg6D0VRIQC+ppZ2slTFhPdjxOcscQ1Tr2tRYNHIR7rugIz6Z2R/907Q0o3rmkDSsumsEsmMiwz6Xq+4n1w5Oo24+tb/HTnFKLLx5ED3vGQxG0xAJBVRkT4hRM2E9CIKzjBFkHaqpkLX6VyZehFcnXYQeCXHIitbhzhGDsXTmdKRo2HpLUxySo8VaKrDXRsqXwGlx1/u3NnMzOKMF4fjx43C73Rg4cGBNm1qtRqdOnfye9/7771NRnGSsk/rr9957L2699daA1yMZ6ceOHaMlyMnzq7fnnnuOtlczZMgQ3H///Xj22Wcxd+5cDB8+3O91SI31cePGITq6yrXikksugdFoxF9/nSmH0JK0mJ8ySeOfNm0aNBpNu6qHdDYhl9H6EGFbL5ch1xU8a0TfTOI3WTwjAnuCWkmj5qpdBBhNQ8Tno39aMpbddBXKrXZ4fD4asBCjlDe49AGDwXVItrLL4YJAJACfndecQqOR4ZJLemHhoo1B+8df0qtZ3kcilyCrdzru//RW2C1OiGUiyJg1f5ORycQYNaITunVNgqHCRsdmrVZGA0qYQwOjzUAKpnodAF9CVknCvTeMWhC7Y5LZ/8eB4CVEhmY1U9kPqQZIGwpMmw+47YBYAQibP2OhPVpXXz80HZf0SECZ1QURPwo6hbimFAKD0Rbwen1w+3wQC/hsLYtjaGUiKnaT+tx1IZnlydrmEWiJE835XeIwIF1HSyeqJAKWbdgMECeGhy/qjJuHZ6DC6oJUxKfHOlrBHBoYbQePx0czVEnSAYNb6KOVNMkgWInDhEQN1JrmmSvEKhW4tHsXjMpKp64qGqmE6SHNgIAnQKxEB2+lhrpV88CjortPWVbv38mU4Z2nXHPNNdS+nYjrCQkJIYM4LJaqe5uPP/6Y1lGvTe11caKxESt60nb0qL8rJbn2kGz6wsJCCGqVDSbtRHSvzrCPSHG9qTWsIwmXxwuL0wmTw/mfkEsylwUQsMUtzkAyneViIaxO/+geuVgEmUjY/BkqTBxr9mMar1LSjcFoS5CbhKJTJfjnm43YuXofEjJiMfHWCxGfHgspE1Y5gUDAx8TxffDP2kPIySn365swvheSErXN+n5EZCcbo/kgN+FxsWq6MRhtCo8TMJwGdiwACvcACb2A3lcDmjRAwGxcuYBSIsTj47tiV44xwNr38fFdENvcFshiZdXGaL5DKuQjRSejG4PRlrA6Pcgpt2HBplPIqbDTYB8SSELcGZrqysRoHmKUYrw1vTemz9sIm+uMtS/5ekh7rKp5xxBWX735kYsFdEtron0/g8E1TCY78nLK8f2KbTAabRgxshP6DchEXBybc3MFvV6BR5+8FE88+g183jM6nVgswKNPXEr7mxONlDlytIQ9PNn8jnO0An1HdqQW8HUh7aS/JcjMzIRQKMSWLVuQmppK24xGIw4fPoyRI0f6ZbNnZ2ef9fXi4uKopTzJiCeCfCheffVVHDx4EH///TfNUCdW9DfccAPtW7VqFbWr37Fjh58gv3fvXvoc4qre0onfLSautxdcHg+Ol1XA4/XVtBntDppVy+zAuQPJcE7WqOFwe1Bus9M2nUwKibDKSp/BYDDCwcm9Obh35JOwmc7U0Vn54W946Ks7qR24WMqi2rkAqUP12stXYu++PPz2+17IZCJMvrQvUlL0ULdALSMGg8FoULZ6zr/AgssB73/Bo8f+BDa+A8xYDqQPr6prwQg76dFyrLh9GP46WIQ/DxYjTiXGtYPTkaqTQcHKfjAYjDBgd3vx675C3Ld0V03b34dL8N7qo1g6Zwg6xzetBiuj+eiSoMTPd4/Ayl352HqyAlmxclw5MBXJGil1+WMwGIzWxmx24Nul/2LhVxtq2rb8e5yum7z+9gwkJLQfF2OuJ4r07pOGTz6fhZ9X7cLJEyXo2jUJ513QHbFxbJyPVEg99XtenIa3HlnqJ7ATYZ20t0S9dfq+SiWtg/7AAw9Ap9MhNjaW1kwnmemNdfH+3//+h7vuuosK8hdddBGcTie2bt2KiooKWjediOZPPvkkli1bhmHDhuGNN97A3XffTWuwE7H/008/xfjx49Grl7+jaNeuXakd/cKFC3H77bejJWHiehMzDovNVj9hvZoSsxVqCbPB4BJERCcbyVYnsNr0DAYjnBhLTXj9pvf9hPVq3rjpA3Qf2hnxGbFh2TdGIDExKowZrcKwoR3ozePZ6lcxGAxGi2IuAJbdeEZYr4Y8/vYmYPYaQJXIvgSOkKSV4toh6ZjWPwUCXhQrS8FgMMJKidmJh77dHdBucnjw8Le78dn1A6GTMwcULiDg82jW8+1jsuH0+CDi85izAIPBCCulJSY/Yb2a4mITFsxfh7vuHcds4jkCsetPTYvGrFvGwu32QCQSsBIwbYCYBA0e/r8ZMJRaaI11YgVPMtZbSlivhojbc+bMwYQJE6BSqfDggw8iJycHEknj3DdvvvlmyGQymp1ORHu5XI4ePXrgnnvugcPhwIwZM3D99ddj4sSJ9PmzZ8/GTz/9hGuvvRbfffcd/f9FixYFvC5Zs73sssuo+M7EdQ7j8VXC6HCE7Dc5HJAIW8aKoaGMHj0avXv3xltvvRXW/eASTFTnBk6XB063B1KxEEIBi7hmtD9MZRYc3nY8aJ/b5cGJPaeZuM5ByGSEEX7sLjcty6MQi5hIxWifWEuqtmBYiqr6mLjOSYtxRvghpcI8PtC6wo3NtGAwIpkDBSa4a1nE1mZnjhEGm4uJ6xyDXKskbAzhBGaHu6b0C4PRHlm3NtCOupq//tiHmTeMRGwc+31wCVLuhQjtjPBCymh7vGZUVgYm6p4rREhvaTE94D2VSpoNXo3VaqXZ50T0JqxZs6bev3/66afpVpurr76absHYt29fQNv3339f8/9ud51Eg1q8//77aA3YCnETqa+0fFPLznt9Pni9Prg9XkTxomjWNYlarbsAQCI45s+fH/D3R44cadoOMBgtgNXhwuniCiz8cztOFVWgW3o8po/ujSS9GiI2WWS0I3zeM3XzguFyupr0+maLHQaDnUYPKxUS6HRyREezOqyMyMZgs+NoURm+WLsNpRYbhnVIw+S+XZGkVbMsHkb7orL+MQS+s/SfhXKrE6UWF4pNDugVYsQoxIhu7vrgDEYYsnV35xrw2foTsLu8mNAzEeO6xVNnAQajPUEyoOvD18S1rBKzg/7eyq0uxKkkdBxhmfCMSKfQ6MCm42VYtPk0FUiuHJCKYdnRiFc3LmOPwYhUnP8FmATD4/GiEo0fRMhvq7TUjPIyCywWJ+Li1dBoZFAo2O+MEdk4PPkot/2BIsN68Hwz4PHGwVfJBy8qcoIeiE07qX8+cOBAWm/9mWeeoe2XXnop2istJq6PGDECUmnbnqTyeVE0Y8rynwBCMqK1ci/EQgu8PgskAjVcXi9EfPU5v7bH60WZyUa32u+XHKOBTCwMENhJXYLPP//cry0mJqbRn43BaAlIpvqaXUfxxBe/1rTtO1WE79btwYd3X4G+HZLZgWe0GxRaBRIy41BwvCigj1zjs3tnNPq1y8ot+PCjv/DnX/tr2uJiVXjhuanIyGBjAyMyMdudWLB+Bz7469+atj05hbRt4a3TkR0XHdb9YzBaFXkMIJIDLmtgn0hR1d9I8g123Lt0J/49Xl7T1jleiXnX9ad1whmMSKTM4sT/Vu7Dj7sLatq2nzbg47XH8c2cIUjWsnOb0X7onhi61mqaXgaVtPFLhSdLrbj5y604WmypaRueHY1Xp/ZEgrptrxEy2i5FRgfmLNhKnR2q2XKygv6WPpnZH/Hs3Ga0I4aN6IivF20M2td/YCYUisYF5Pp8lTh+rAiPP/INSkvMtI3IH+Mu6okbZ4+GThded2AGo7E4PHnYXXg1nJ48RHkTIa90wunNB99jhViQGFEC+2uvvYZDhw5BJBKhX79+WLt2LaKj2+9aXIMLhi5duhQu15ksutzcXFpzvBqbzYZXXnml5vGqVauQkJCAtgyfx0O8SvH/7J0HdFTV+sV3pveWTHoPvffei4iiiCKigAgo9ob96RO7PvvfZ9eHIE0QFVQQRZQi0nsnEEp6z/Q++a9zYkImmQlpM5NMzm+tuyD3DDPDnck99579fXuDnOiJsB6jsuGS6XnsypuCvQWzsD3nehwqeBIWZ16Dn9tosXsI6wSXu5x2/JJO9poIhUJER0d7bFwu16tgs3btWo99KpUKixcvRlvASZwAXC64m2orwGgUxXoTXl2+2evn8vySX1FYdvkG3F+QwpXcEj1OXMxHelYhinT+f00GwxvhMWo88ul8mgVTk5sfuw6qyIYXZhEcDhe++36vh7BOyC/Q47EnV9JOdkbjKqjLyswoLTNRVxlG4CkymjyE9UpIkeNrP22B3uw7qqe5sFvtyDtfgDP7zuHC8UyUFbLfJ0aQkEUDE173PjbxP4A8qlFPq7c48NwPRz2EdcKpPAPuWUocI2yNet62Dpk3yLEjXZyM4HC+yOQhrFeSq7Pif3+dp1EjfsdmBErOAzkHgaJ0wFLq/9dkMLwQIRPiruG1C3k5YcDrU7ojUt64DsECgxVzF+/1ENYJf50twqvrT8Jo893tyPANOT8RNwBi188IDjvOFXkI65Ucy9FjyxkfMT3NjM5iR0ahkTqwXCw20YgTBiMYxMSoMHBwu1r7hUIe5t87BlJp4+aQwgI9Hn9kRZWwTiDL9xt/OYJffj4E1xXcHxnesTgdKDSboLf5f72EURt3uQM5+mVUWK+J062Huzww99euciccbhvsbiucbgfcjbCm7927N/bv3w+j0YiSkhJs2rSJZqS3ZepdjnrrrbciNzcXkZGR9OcuXbrg0KFDSE1NpT8bDAY888wzNMi+LSHk8dAuIhwmRwnOlL2EYqtn5VaRdQeOFi5Er8g3693BTsTfIp2XLpR/JhXSuRXOZ47+DYEcU5PNjiKTmQrrCpEQGomYWu2znL3AkVOsh9Xh9DlWZrJCq/JfJSIRXjYfSMd7322D0VpxY5qgVeKNedeiQ4KWFswwGIGky5CO+GjvG/j6hVU4vfccIuI0uO3Zm9BtWCdIG5mdU1JixNp1B7yOEXH44qUiREb67lZh1Kaw0IC/dpzBz+sP0cLC8eO6YezYrtQNgBE4dp/LrHNMZ7VCIfGfXVxZgQ5rP9yI1W+tg+Ofxaz2fVLxrxUPI75DrN9el8HwCk8AdLkBCE8D/nwNKE4HwjsAo/8FRHUDuIJGd/f+cdr7IvGJXD0ViIkow6g/WaVmrNmfhZ8O50DA4+D2QckY0ykSUcxGNqCs3ut7DvnuQBbuHpHq385DQx6w+WXgyMrLsQ2pY4DJ/wWUzL2LEVgUYj7uHdUOfZPU+PDPs8jX29ArQYlHxnVAqlbWJNvsjCLva1kbjubiiQkdIWOZr/WGNNhklpjx1Y7z2JZeBKWYj7uGp2JAigZaFtUSMEjh4fLdl3yOr9h9CVd3jYZK0rhrr/q6Cj3z/VFs/UfIJ4UwU3rH4amrOyFSweyyGYFFpZbisSeuwe5dZ/Htqj0wGizoNzAVt942BLGx6kY/b/qZPBiN3gVg8jrjr+7B1rIagM3lxAVdGT45vBsHC3MQI5XjgV6D0DU8CmoRc5IJFA5XCQpMP9QxXgpumNSv+pTTbUeZI4+K64QwhEHKU0HCU4EbxjTGpsBrSMdWXT+3VcgXX8jnwVFurCWsVxfY7a6S+tvDl1dUpvrCaq8tTv7888+QyS7fBE2cOBHffvtt/V4vxCGdyjk6AwzWy5VAJKe11GxBaoSGFkgwAsOVThv+Pq8cv5CPl5f/7rEvs1CHu977Fquem4W4iMZ1CjMYjUUkEaJd7xQ8vexhWAwW8IV8KMKblotut7tgrSMDKzu7FP37Nekl2hSFRQb869/f4ty5gqp9Xy7aivUbDuHdd2YwgT2AXNF1xo9TCKmS//Obv7D8lTUe+9MPZODJcS/h//5+Fdr4cP+9AQbDG2IlkDwMmL4CcFgAvhgQq5p0rIy2ujtCSlnndYOF9Zs++ZsKV5U888NR9ElU4ZOZfWkWMSMwuOqYQ0jjhl/vQmymiiKYQ8s892f8AXw7B7h1RZOiHBiMxkAy0K/uFoOBKeGwu9yQCrlNFr5JznpdOe6mK8wxDE9Il/KUj/+G0XZ5DfD+FQcwuWcsFl7fBRopK3YLBOVXWKsi9yj+XMoqMdnw0MqD2Hex1OP36bsD2TQ+dOF1XSEVsnVNRmDRhMsw8dpeGDSkPXVokstFEDZxDsnMLPY5RkR3hxc9hOGbQwW5uG3Dajj/6VC+oC/DztxMPNZ3GOZ26wMZn80hgaG84majrnE/4nI7UGLPpp3rl1+xHEZnKcLCuJByVazxtAm0ujbNjz76CMnJyRCJRBg4cCD27NmDloDDXbe1tMN92dLkSpBCFSLY+0Iiql0NOXr0aOokULl98MEH9X69UMfmcnkI69WrgAsMJriqxRsw/EtsuAJ8Xu24AkKkSgaVzH+Vc6VGCz5c95fXMbPNga1HMvz22gzGlZDIxQiP1TRZWK+04iI3Nr5ISWaLtw3h0KGLHsJ6Jbl5Omz+4zjNBWMEhoGpCT7H+iTFQi72381hSW4Zlr/yvdexwqxiXDyR5bfXZjCuCBHUFTFNFtYJJGeXLNT6gnXKNcw5a9muix7CevWs7yNZte1lGf7j5r6+55Dre8ZC7ceOQ5gKgEPLvY9l7QGMta8zGIxAoZYKaKFPc3SUx6p8388LuBzIREwArC8GqwOvbSBW+rXFpHWHc5BTxux9AwVxDJjWz/ccQsZUEv/l5RYZ7B7CenWIwM4iexjBRK2WIiJC3mRhndCune9YK41GCgErIqk3BWYTntr+a5WwXp33DuxAkcUzipjhP3gcDbTS63yO87lq/3atlzs8hPXqmJwlcPsYY4SguL5q1SosWLAACxcuxIEDB9CzZ09MmDABBQX+uxklXzCX2wqbswg2ZzFcbhvc5bWrbfmcugWRK41Xh8flIlLt3YqLwwmDVFR7wpJKpWjXrl3V5ivvnvyy1qy4dDhCO6dHZ/F906G3Wln+egCJUEjwxM0ja+2n1bazxkOrlPrtte0OJ87neuaHVufwuRzmyMFodsrKTDh1Ohcrv9mJn9YfRHZ2CSwW/2blhYfLMOPWwV7HYmNUiItrvE1XW8NstmHDL0d8jm/adAw6PbspCRQRCilmDulVa7+Yz8Ozk8dAJfFfgZbNYoeuyHe++vkjF/322oy2S77eit0Zxfjoz7P44WA2tYa1+zlrkFi+39g7zuvYsHbhCGddcvWmxOTAukM5Pse/2XsJdicr8g0UaZEyjOpYu8AwQibA3aNSIeJ7LwBuFmwGwF3HwpWhdhY8g9FkdNlA+iZg2zvAyZ+AsswrW8k1kUi5kDpzeOO2gYnQyv1YxBKCVuR1ZXlvOpEf0PfT1iHzR6fo2uu6aVoZxneO8qswUmDwvaZJmoYMViaMMJqX8nI3rI5sFJp+waWyT1Bq3g6bM8/vhzk5VQut1rt+cvucEVTEZ9QPnc2C8/pSn24bJ4t9zy+M5oXLESBOMQd8bu37EC5HBk6Yf53MnHVkupPcddLFzmg8DSob/fXXX6FUVtgmk8zRzZs349ixY/TnsrIy+Jt3330Xd911F+bMmUN//vTTT7F+/XosWrQITz/9tF+EdZuzAHZ3tZORCxByIyDghoNTLZNAwNUgQjSUWsDXhOwn4w1BIuAjJlyB/FJDVVeckM+lttUkJ7yxaLVa5OZevnlPT0+H2RzawgDJkWC0DIQCPib064T2cVos2rgHWUU6dE6MxOyr+iFR618bEtIxH69V4myOd5sh8j78+fqMtkdxiRH/eWs99u0771Eg9cRj12D4sI6Q+KlDisvl4Krx3WA22/HN6t2w/2Od1a1rHJ5+chK7IWkA5JzA5fo+L3A4HDbHBBClWIR7xgzEsA7J+N/WfSgxmTEoLREzhvRCnNq/sR4CER9SpQQmnfdrpoRO3sVIBqMp2ZpzFu/B6bzL7lhCHgdf3dEf/ZM14PP8UyNNbEUfn9CRZnmuOZBNF23J5dFVXaLwwvVdaYcjo36Q2aMuF4C6xhjND3FdeHNqD+w6V4xFOy7AZHPimu4xmNo3HgkaiX8PuVAGhHF8W0JKI/37+oy2R9FZYMkkz8INsRqY/RMQ3d1vLxsuE+LD2/rg2R+O4s/TFQv3fG4YpvdPxH2j0mhBJKOehIWBExbmM9KCx+aQgBKtFOOrOf3x+4l8fLM3k9apTOufgAldohBTh2NDc/1e+YJco8lYNy+jmYV1o/04jubNgqu8+n1IHLpHLYWYn+i3463VKvDW+zPw+svrcPpUxfwlEvExY9ZQDBvRga3ZNoArrW9z2fp3QBHx49Er+lvkm9aiSLcbnDABBNxoiHhqcML853xC4Ib5vn8Po33X7J60KTToynb27NkeP999990eP/tTmLLb7di/fz+eeeYZj0XtcePGYedO71nnTcXlNnsK6/9gcxWBRytLqovrSnTXvoijhQs9BHYirJP99c5bryaOqKQiSEUCml1CDi2Py6Fd7U1hzJgx+PDDDzF48GCaH/rUU0+Bz/fvL3FLWIwvNnlfDFeJxeByWpWBQ6tHLhGiZ1osXr/zGlhtTkhEfIgE/v8OauQS3D1pMJ74/GevwvvY3u39/h4YbQdy3v7tt2MewjqBFEsRwb1Tp1gkJfovn1mlkuK2WwdjwoTuMBqs1KJLpZJAofDvjX+oIRYLMPn6Pjhw0HtX8nWTekGpZMc0kKilEgzvmIJeSbFwOF2QiYQQ+IgbaU7CY9SYumASlixcXWtMGaFAao8kv78HRtvBbHPizV9PeQjrBJvTjblL9mLTgpFIUPtPDCT2wM9f1xX3jW5Hu6GI4E66e+Ve3LMYvgmXCqhV7LubzngdnzUoCQI/FUkwvBMpF+H6XnEY0UFLC0dUYj697/Y7RDzvPBk48YOXN9UFkEX7/z0w2g6mIuC7ubUdESylwMrpwLxNgCLWby9PrOH/b3pvFJtsNGNdIeIhQi6ERMCE9YZAzk9Xd43G+qPenS2u6urbPpnhH2KUYswanIxre1Q4hZI4kUA0aGhlQnSOkeNkbu24UfIdCZexwkdG82F35eN4/jwPYZ1gc2bjTNHT6BL5MfjcpkdR+SI+XoPX/nMLynRm2G1OyBUi6s7IZ8VZDUItFKOTRotTJbU71PkcDh1jBF5gT1TeCzX/JmSZSsDnKvwurBP4YQJwwrhenbilPBW41fRNRsOp99EjnerBpKioiIrBUVGeF5Dk51OnTnn9NzabjW6V6PW+7TxrQr5wRET3hc1VDG6YGGGkAv0fxLxo9Ip8E3ZXCc1YJ1bwpGO9ocJ6JeQijS4YN+Oi8TvvvEM7/4cPH47Y2Fj83//9Hy1aCGUEXC7UEjFKzRaP/aRYQSuT0GpgRuCRCAV0CyR928fjvuuG4PMNu+B0VZzTSM77W/MnIVrD7IUYzTeHlJaasOb7vT7H/9xyAnfcPtyvh1wg4CEmWgWw9dom0aVzHHr3SsTBQ5c89qelRWLoEFY9HSzkIv/lq3uDy+PimrvGo+BSMTYu+qMqRiQ6ORIvrnsS2gT/Fcsw2t4cUmyy4+fD3hfTrQ43jmfr/CquE4igTjZG4yGiLemKXnswGxlFJo+xsZ0ivdrLMgKDyp/56r46169+DbAbgbObLu8nHcTTlgJy1rnOaJ75o0pczz3sfUyXBRgL/CquExRiPt0YjYfMwU9M6IhdGcX0uqA684al0EI4RnDQBDgihxSnfDarH+5dth/Hcy6fD0a0j8Dz13VhxY+MZp1DrM4cONzeIzX1tj10zJ/iOkGpktCN0XjCxRK8PeJq3PzzN7A4PeOAXxoyDlqx/2JZGb4JC+NCQDPW/e8AXgmXw4dGEIdSey5c5Ze/C2KuAhKuMqCOEC+88ALWrl2LQ4cOIVQI6RWT119/HS+++GIj/zXJHPCdaVhe7qSZBDW/fkRIb6yY3lgWL17sc2zLli0ePxNBndj7VycQlv4El9sNp9tN/+SEccDjkE58/3cKkNeIkkuhFAtpBzvpUiDd7HJhYLrdGC0HIqTPGNcHEwd0QkGZkX7+EUop3ZiDAaM55xCSYaTzYR9NKCyoXXXOqBtSuVxWZqaZ9XK5CCqlBDKZ/xeVSJX0v56+HidP5WDtuv3UfeCaiT3Qs0eSzzwwRmiiiVbh7nduxy1P3YCSnBKI5WKoo1QIj1UH+60xQmwOsbvINbPv7LNCo+/cNIbvvNISox1WhwsamZB24geii5J0cC6/cyC2pxfhuwNZtFP9jiHJ6BGvojbljDYEETNv/LxC+DQVVlh0SyMAGRPWGc25jkXCNT2bCmpBijwY9YYUVObrbSg22ujcTLqESbZ8INaSkiOkWPfAUGw4movfjudDIxVQYb19lDzwRUKMoJKokWDJ3AH0e1hmdlCreHItw74HjOaeQ5xuXZ3j7jrymxnejqcLhVYjiu0mqiFphFJohTLwOP6fQzprIrFxymysPnMUu/OykCBXYG7XfkhWqiAOcRdjhid8jhDhgni44aTr1dwwLu1mJ1tzMmrUKGzdupX+XSgUIjU1FQ888ADuu+8+v30k1YsDuFwu1T6nTp1Kz4XkPfibeq8obNu2rV6PGzFiBPxBREQEPUD5+fke+8nP0dHe2/KIhfyCBQs8qrUSEhLq9Xph4IIXJoW93LNCtBIeR/5PLgGjPjhcLuToDDBYbR658vEqZUBuSoidvozLhYTPB1mqJN3qLF+7bSIW8BEXoaQbg1EXTZlDxCI+uneLx+EjmV7HBw1KYwe/AeTmleGV19bh5MmKTk5y7TRqZGfcd89YKn77G/Iaw4Z2QN8+yXSBTSJhgkhbRaqQ0C2uHbOEYPhvDpEKeIhVipCjs3od7xnv326RUONMvgH3LN1f1T1OcmrnDkvB3SNS68wxbS5IFivJZSX53iSNilkjt2EkmopN2yHY74QRovMHRawBeCLA6WUOIRfR8gpLa8aVcTjdOJxVhvuWH0CBoWItS8zn4umJnXBDr1goAyBwx6sluHNYKm4dkEjz60XMGrnNEkEFdXYfyvDvHCLm+Y4744bJwAtTsI+gnpidduwoOIfnD62D3lExJyv5YrzcezKGaFMh5vl3DiFNjclKNR7rOwxmhwNCHumaDuk+2zaFwWBBaakZJqOVNh6p1BLI5b5jK7kcHlE7/f6+7rrrLrz00kswm834+uuvcf/990OtVuPWW2/122t+9dVXuPrqq+FwOHD48GHq2i2VSvHyyy/D3/AaUnngi0qRkvzpdDrhDwQCAfr27YvNmzfjhhtuqLKqJz+TCghvkOqExlYoELt3ATccdjfp6vbsHCGiOp8TWNuE1gzpVM+tIawTzHYHssp0SFSrAtLBTuCwfHUGg1FPmjKHkAuau+8ajQceXko7nasTE61Ep45sUau+lJSa8Ny/v8P5C5ezoogj959bTkIk4uPB+8fTPwOVwc5gMBj+nkOilSI8e20X3L/iQK2xAcka2g3NqB85ZRbc+vkuD0td0nn4+bYMRCtEtIucwwnMPZ1MxBazGAyGf+ePipNNFDD8MeDPV2uP9ZkNSFnOakPmkBlf7obNeTkm0+JwYeGPx5EcIcHIDoFxniDzlDxA9zsMBqNtzyF8bgQiJJNQZP651liS+hEIeMxxp75cNBbj0b2rqfNxJTqHBQ/vWYXvRt2NjsrAFOwTp1bi3ssIHQoL9Hj7zfXYv/d81b5+/VPw2JPXQhvpvwIYg8GAe+65h1q7KxQKPPnkk1i3bh169eqF999/nz5GIpFUNUITG/gVK1bgxx9/9Cmuf/nllzTG+vz580hOTsZDDz1U1ek+d+5c7Nu3D3v37qXnNbvdjoEDB6J79+5UuK9EpVJVvSYpJpo8eTIOHKi9luIP6q1olpaWet2ys7PxxBNP0P9gp06d/PpmSeXVF198gSVLluDkyZO49957YTKZaDWCP+CECSDjp4Ibdjnng8eRQcpPBSeMXdjWF2IFr68hrFcX2Ml4W8bpdFGb47wCHXLzdDCZbXQfg8Fo3aSkaPHe27fRbO7K7NWxY7rgnbduhVbLqn3rS3GRwUNYr85vm45R8b0tY3CU4qzhCNZk/hfrsj5FpvkMTM4GZnMyGIwWx/D2EfhsVl9qA1rZKTdnSDI+uLU361pqAMdzdLWyaiv56M+zyDd4dwdoK+TpLPjteB4e+eYgXv75BE7m6qG3eOYyMhiMVgZfBPSbC1z77uXYARJDMPZ5YPSzgIjdh9SXn4/megjr1XnntzMo9TG/tBWyS81Ysz8LD608gPc2ncG5QiMsdv80XDEYjMDA5yqRqnkWCcoHweVUxOAJuNFoH/4GIqWTmR5ST0jO+f/O/uUhrFdC9i0+9zdsrrZ7zU3ili2OS8jWLcbJgoeRpVtEf3aXszmkPh3rNYV1wr695/HOm+vpuD+12R07dlCxfNOmTdi+ffsVRWyxWExFcW8sX74czz//PF599VWq9b722mv497//TbVfwgcffEC136effpr+/Oyzz9J46w8//NDn6505cwZ//PEHFeEDQb3L55VKTwtl0jW+aNEimuNBuoE/+ugjzJ49G/7klltuQWFhIT3oeXl5tCpi48aNiIqK8svrkc50bpgIEn4CyssrLqjD/JBHEOrU7Nr01tneViEiemGxETr95ROfzmCBVCyg3a28EMiEt9od9DsgEbGOT0bbQijko3v3BLz5xi2wmO3gcDk0JzxQXdahQkGh73x6l8tNj21bRe8owbeX3keG6VjVvj0lv6GfeiyuipkJKa/1x1+YHXZ6PSbmsd8bRttCIeZjQtdo9E5Q0S45YutHsjWF/NZ/bRhITuX6nkOI6G73IZq0BbLLLJj15e4qu3zC//46j39d0xnTByRA0cqvV0iMi8nuBJ/DYb83jLaHNALoOwfoOLHCHp4rAGQxpNo32O+s1UCaQA5nEidL75wvNMHahpsiMgqNmPbZThQZL9+L/fePdHw8ow9Gd4xs9eddl7scFocTAi4XAh6LBGW0LYQ8LRJV9yFaPg3l5XZwwkQQcCOZg28DsLjsOKv33iRCSNcXwux0QMht3dfbjcVoP44jeTPhLq/QQ4rM63Gx7F10j/oacmHvVv9dc7pcsDlcdC4kUcXNCbGCrymsVxfYyXhd9vBN6VonojfpRB87dmyVHXtsbKzXx7tcLqxcuRJHjhzB/PnzvT5m4cKFtGv9xhtvpD+npKTgxIkT+Oyzz6jOLJPJsGzZMowcORJyuZx2x//555+0a746pCuexIkTR3WbzYZJkybRiIxA0Chvuu+//x7/+te/qNBN3uiDDz4YkIB4ArGA92UD31w34TXhhPGIFzyjkVzJapHYk7RVbHanh7Beiclih9Fko0JcXbjLy+F0uanAZLXZaaHClYoZAkWR3oRTlwrwzZZDtIjg+sFd0bdDPKLUFZWPDEZbQa2S0o3ROCK1vs8ZxA1AHICsw5bKKf1eD2G9kn2lm9FLPRIpsrrFdYvdgWKjGaUmCwQ8LjRSMbQK/2fY14c8sx57CzOx+vwh8MO4mNm+L7qrY6AVt4z3x2AEikiFiB3sJtApxvccEi4VtNkFc1JU8OnWcx7CeiWvbTiJ0R21VxTXDVYyh9hRarZDKuTR4xmIDPv6kF1qweZT+fjlaB4UYh7mDE1BhygZNNKW8f4YjIBA1lkU3hc8GVeGFLX1TFDhtxP5XsdTtFKIQqAZojGUme145vujHsI6gSxFPfzNIfy+YCQS/nHeqes5yBxC5hJSUKiRCqBqAfd1ZD0tq8yMtQdzsONsEY3imTs0GUnhUvo+GYy2AnHsFfFYnGFjEXMFaKfQIt1Q4HW8vUILSRttILA583Gy4MEqYb0Sd7kVJwsfQK+Y7yHk1W2ZX1ZsQFmxETazA3K1BKpwGSSy4N832x0uZJfqsObvIziRVYD2MRG4ZWhPxGkUEAma5/MmGetNGW8sGRkZNNN8wIABHs3YHTt29Hjcxx9/TK3eSbc6EbwfffRR6j5e632aTDh37hzmzZtHc9orIQJ59SbvwYMH4/HHH6f56U899RSGDRtW67nee+89jBs3jgr6Z8+epR32s2bNwjfffIMWJa5v3bqV/ieOHj2Khx9+mP69Zkd7a4XPr/iCm81malfAaN6bEoVI6NUaXiLg0/G2CLloLysz+xwvLTNDJhX67F4ngrrebEV+qbFCZLeakF9igI1fiB6pceAH8UavSGfCqyt+x9YjGVX79pzORLvYcPz3gSlMYGcwGPUmPEKOlGStV2v4q8Z3g0bdNgsXjI4y/F203uf4rqJfkCDpCB7H+wV8idGMZX8fxKJt++BwVXRuJoar8H8zr0P7qPCgVgoTYf3O7atwsuzyjejWvHMYEZ2KNwdcxwR2BoNRb7rGKqno680a/v7R7RAlD/4iTDAoMtrw7b5Mn+O/Hs9D+yjfhQkFeive+OUUfjiUjcra9O5xSnw0o09VlEGwyCwx4+ZPdyJPf3lh6dfj+bh9cBIeHdcBamnwxRsGg9E6mNQ9Bh9sTvdqDf/YVW33fFJmdmD3+RKvY+RYncrT1ymukyz7p747gu3pRVX7xnTU4rUbuyNaGdz12PQCA6Z+shMG22Vr4h8OZuPF67vi5r7xkAgb1aPGYDDaGMR5b167YdiYfaKWNXwYwnBH2pA227XucJXA5srxOmZ3FcDhKq5TXM+5UIRX7/8aGSdzqpo6r5o2ALc/OgHqIEZwkobdwxdycPdn39NGSML+c9lYveMIPrjzegzpmNQsXezSKxQRXGnc38yYMYPatxN9NSYmhjqee8NoNNI/SQR4TQt3IspXd08nVvRkHxHOvUHy1tu1a0f/TsR+0mVPutlfeeWVqv3+ot5XBddccw1+//13GiRPQusrQ+JDBfIBqVQqFBRULORKJJJWb0HRklAL+XDY7TBVy1gQ83mIEAnhdNjhbIMxI+TkYLPb4PaRseJwumG1Wn2K62abHTlFFbm6bqcdpSXF2HYiC7+t3oNv/z0LiZFqBIszWYUewnolZ3OKsXHvacwa1/eKjgYMBoNBIOL5Ky/fhFdeW4eTJ3PpPjI9jx7VGXPvGN5mbfbJDZrDXbtorRKL2wx3ObGq5Hu96N90LB2f/bnHY/+l4jLc8cW3WPPADMSqg3NTQt7bxqxTHsJ6JdvyMnC0NBdjxO2D8t4YDEbrg3ScrZw/CPcs3V/Vpc3nhtFO5sm9Ytvs9ShZ4rM6fFvil9WRu251uPDhn2fx/cFsj/1Hs3WY89Ueerwjg1S0QN/bH+kewnolX++8iGn9EtqsGMZgMBo3hyy/cyDuX3EA+fqK624xn4tnrumEnvGqNm2ZXxfGasJ0TYjbyePfHsbf54o99v9xuhDP/nAM797SC8ogdYiT9/b090c9hPVKXvzpOEZ11CKJiesMBqOeJMnC8V7/aXj+0DroHRXXpkq+GC/3noxEqabNHsdy1C0CuesYL87T4V+3f478rBKP5sWN3+yGQiXBzEcmgC8IThFUgd6Ep5f9UiWsV72/8nI8s2wj1jwxEzHNsM6mVkvQr38KtYCvCdlPxv1BamoqbU7eu3cvEhMT6T6dTkczzkeMGFH1ONKIXR9Bm8R8E0t50hFPBHlfvPXWWzh16hRt+p4wYQK1op8zZ06dz10pzlss/sufr6Te3zaSbc7j8bBq1SqsXr3a5+NKSrxXL7YGKgsGKgV2RvNCTiZh7vKKP8MAexgH2WWlDX+ef2zP67sYRqzSSV4SWbAnFvScsLAWs5Bmsdhpxro3pGIhnLYyr0Ue5BiUGs3UboQcDYfLhR2ncrDhUCb9ef3uk7hn0uAmFYiY7Q5wOWEQ8ho2KdkdTny77bDP8e//OopJgzojXNE2u00ZDEbDiYlW4bWXb6aOHuS8KZeJoFZLIW2gvSuZD3R2K3icMCgEV+6KIBfFhQYj8nRGaqEer1FCI5VAJgr+wryYK0MnRX/sKt7gdbyXagQEXO/iRoHBhE/+2O11TGe24mhWXpPEdTJH2WwO8Em+VANdVEpsZnxz7qDP8aXp+zA4MpllsDMYjHrTIUqOb+4ehBKjnebjEmtwkl8vaeDCi93pgsHqpFby8noUdpHHFxhsyCq10PMi6eKLkAupMBNsZEIeBqdqsDPD+737VV2ifP7bQoMN3+zx3vV+rtCE3DJrk8R1GnfldNPjzOdyGiyMrD3kvROG8PORHHSLCw3nPQaD4X/4PA76Jqmx7v5hKDbZ4HSVI1wmQKRcSCOVGlr8Y7Y7IeRxaZTGlSCPLTLYkFlqoUVhcSoxtI14XX9A5sB4tZjOb97oHue78IBYwdcU1ivZfKoAxUZbk8R14shFok9EfC5dz2oIOrMDBy+VeR0jy5CHM3XUHp7BYDDqg4QnwOjoDvh+1L0otpto4rBGIIVWJAOP08A5xGWD3W2HiCuEgHPl9SjiHlxiNiOrTA+pUIBouQxRchnVRIINn6MBJ0xcyxaewAkj/78In/82L7PEQ1ivzrolO3DNbYMRFd/4wgW3207Ff05Yw5tuiU5TqK8duUUwWGwoNpibRVwneeqPPXkt3nlzvYfAToR1st8feesVryunOehPPPEENBoNIiMjaWY66UxvrP704osv4qGHHqKC/NVXX03z0vft24fS0lJq7X7w4EE8//zzWLNmDYYOHYp3332XuqmTDHYi9ldSVlaGvLw82sianp6Ol156CR06dEDnzp3hb+q9okCqAkId8kUgdgXky0EyBBgti+ISEw4evoitO07Tz2rUsI7o1SPRpyUwEdMv5pfiPyt/R7Husv364M5JmHfNQGjkwbUsJBSVGPHF0vUoKjZ47JdKhHjp2cmI9GFnUqw34aU1P9KTM7FiLLPYYXOQDsUKTlzMh8PpgoDf8GqtXJ0BOzIu4ufjpyETCDBzQC900IZTQak+VIj97jrFqkr7SAaDwagvSqWEbo0ly1SGtReO4pesU5Bw+bijwwD01yYi0keGNylaOnQxBw8v+wk6S0WnCrkRuX1Yb8wb0R8aWXDnEGL3PjRiEg6VbYXV5XkBrxFEIU3W3ee/JfNDocH7RT/hVE4hJnTv0OD3RObdvHwdtm07jT17MxARIcONN/RDXJwasnpaU5HncNTRDUM6ZchjGAwGoyEQsbexgi8p0iVW40t3XcRf6UVUWLlnZBq6xSl8ZnibbE78fjKf2t5WdogLuBw8e21nTOkdC4U4uEVaRLh4blIXTPnob9hrXLf3T1IjJcL73Fj5f6v5b6qTVWqmOcUNhbh2ZZVZqF39wcwytNPKMGtQEuI14noXQpDpgXxeviCCC4PBYDQEsvYUrRTRrTEQUf1SsRmfbcvA0ewyJGmkuHd0GtprZZD7EJFLTXas2HMJ7206A+c/5zSpgIv3p/fGsPYRQS/SilKI8NLkbpi7eG+tMWKdTgrYfKGz1I5pqY7e6rvr/UrFCGSuXrbrEs4WGtEnUYWb+ybQIgBePQu1SCNQXdS1zsVgMBjeICJ6jERJt8ZgdlqQbcnH99m/ItdagBRpAm6IHY9okRZCrvdzbZHJhPe3/o1vDx2rMqTXSMT49ObJ6BYTFfR4Xj43Esnqx5FR8nKtsUTlI+BzfYvr2V7iIiuxWeywXmGO8YXTpYPFeRHZ+iWwu/KhEY9GhGQCRPz4BjeD+qKue5SGoo1U4NmFN6C01Ewz1okVPOlY95ewXgkRt++55x5MmjQJCoUCTz75JDIzMyESNe4a6c4776Tu4aQ7nYj2UqkU3bt3xyOPPELdnGfOnIk77rgD1113HX38/PnzsX79epqnvm3btqoO9cpOdnrNFh1NO+lfe+012ijub+r9CqQyoa1APpjq3v6M4FNQZMCzL6/D+YuXM5l277+EtBQt/vPiVGgjamcC5pXocd9HP6LM6FkJ9cOuU5DJpLj/+qEQBPmmJD5WhIXP3IDv1u3HL5uOUeF51LAOmHXLYMTGqHxW/shcgEQqRnqe96razolRjcpcz9HpMevrNcgq01Xt23T6LKb26obHxg6jk/GVEPJ5uGFIV/x9/ILX8YkDOkIV5PwPBoPRtsg0luLmzV+j0FqR6UM4sPMHjI5thzf6XYsILwJ7XpkB87/6gXYeVl9wWbz9ADpERWBy364INmpBFO5r9yb+LFiD47qd4Ibx0Fc9BoMjroVS4PuGhM/lQiuX+hTYO8ZoG/V+MjNL8NAjS6E3XLbj3fT7cdwzfzQmXdsLEsmVnQbUQgkmJ3XF/x3f7nV8WmovSPjBdw5gMBhtB5K/euPHf8Ns/2c+yAfturtzWAoeHNvea4fdxWIzHv7mkMc+Ikgv/PE4usQo0D8l+FaQ7SNl+PGBoXj7t9M095b8P+4Ykoyb+sbT7khfkLxZUijgS2CPb6QV4ZFsHW77YldVtvHOc8VYvvsiPpnZF6M7aSGox/25QsTD+C5R+OVYntfxST1iG/XeGAwGo7Hsv1iK2xftqVpUP5NvxKaT+XhtSnfc2CeOdljX5FBmGd769bTHPpPdhbuX7sNvj45Au8ja61+BZmCKBt/dOwRv/HISR7J0VHC/b1QaxnWJgkri+1r9Sl3p5DzeUMj92tbThbhvxYGqRg4yh3y5/Ty+mT8IvRPrF5moEPHRIUpGPyNv9E5su1EADAYj8DhcDuwqPoSPzi2t2pdpzsVfhfvwbJf70FPZuZZuQNasfjp2CqsPHfPYX2K24I4V3+Hnu2YhXhVcFycuR4BI6WSIeAm4WPouzM4MiHnJSFIvgFLYF1yOb80gLtn3WpVQLICoEQXMTrcRuYZVuFD2ZtU+nXUXMnWfomf0N5AI0ur1PGqZGAqJEHpz7fhGsYAHbTM7+BIh3d9ieu3XlGP58uVVP5tMJtp9TkRvwpYtW+r89y+88ALdqnPbbbfRzRvHjx+vtW/dunUePwe7+aZJpSqkgmDJkiX4+OOPact9W4J8cBaXHU735UV3hv/Yueesh7Beybnzhdizv3bGBCEjt7iWsF4JsS0v8mHVEWiiI5WYf8dIfPXxHCz9bB4evW884mLVdVpqKKUi3DtpiNcxIqoT2/WGWnKQG5Iluw94COuVrDl0DFmltff7okdqLDonRtbar1VKceOw7uCx4hVGG4dY1VhNVrhcbA7xNzaXE1+e3u0hrFfyZ85ZnDN4tyX88+Q5D2G9OsRSvaiOzu9AQc7z4cIYTI6bj0c6fIAH27+H8dEzoBLULY5HKqS4d8xAr2NKsRA9EipichqC0WjFBx/+5iGsV/LZF3+ipKR+x4vEt9yU0hMxktrOLZ1VkeivTWjwe2MwQg4yd9hNALsP8Ts6sx0L1x27LKxX48u/zqPAS7Y36Y5etCPD53OSvHJjIzvzmhNiLdwpRoH3bumFLY+Pwk8PDsPdI9OoQFIXWpkA0wd4PxenaaWIUTW8iJYcx0dWHawS1ishWtSCVYdQ+E/W8ZWQifh4/KqOkHuxXB7bKRKJ4cF3LmMwgo7LWTGHMCcgv5Ovs+KJbw977VYjGd4kZsNb1/r/bfa+vkqe5pu9mVfsjgsExNqeWOZ/cXs/OoesuXcwpg9IRISs7mLacKmQxpJ4Y0ynSIRf4d97g0SwLFh9uNZXmswpj646hAIv9yfeINEtr9/Yg9rw12T+8NQr/t8YjLaAw+GE1crcfgNBqUOPL85/U2u/G258dHYpSuy11+kLjEZ8trO2qwjB7HBgX2Y2WgJ8rgrhkjHoFr0E/eM2o3v0UkRIxoHPrbsYKipR49P2/frbh0AT2XDbdbur0ENYr8TpLkVGyWtwujzdhn2hVcjw/M3jvI49NWU0IuStP1aE2LSvXLkS586dw4EDB6qy0idPnoy2Sr1LAonPPbFK/+9//0t/ttvtGDx4MK0gIO37xAZg06ZNdF+ok2suxdaCE9heeApaoQLTkgYjQRIOOT+w1SItEafLhfxSI45k5CKnWIfuKTFIidZAq/JtLXgl9HoLNvx61Of4zxsPY8SQ9rWqdbKKvIvBw7ul4PohXVGkM8JosUEtF0OrbPz7aw5ILq237vu6IOL1s7eNxbvfbYPFVnFhE66Q4PV51yBa0/DJhGSxfH/4hM/x7w8fR4+4+gkukSoZ3rvnevxx+CzWbDsKh9OJq/t3wg1DuiEmvPH5IiQvmVgCk86VpuTJMxjBwul0ouBiETZ9vRXH/z6NhE6xuO6eCYhO0UIkYY4OJNecdFPvPncJZSYrBqQlIE6taNJFaKnNjJ8u1a52rGRNxmEM0CbWOqecyfMuuk/u3hFXpySj4EQ2jDIxVFoFVJHBrfzlc4RQCuq/2EP+r+O7tacxIIu376+yOEzQKPHBzOsQo2p4NwwR1Q8cvOh1jCx0HT56CfH1zL6Kkyqxaszt+P7CYay9cIxaqU1P642J8Z0Q7UV0b0iOL9kEDcxZZjBaDHYzUHYJ2PcVUHQKiOsH9LoNUCYCvMbnk4YKeqsDBXobtqcXUoF7eHstYpQiqKWNd7sosziw+3ypz/Ed54rQPkpeywI4o/ByJFUlZLH+3kGRuKmTEOLCw4BYDki0gKR+HXX+zM6tT4Z89c6LB0a3o/nzaw9lV4kZXWMV+HhGn0bZ75eY7cgs8V4UTbo1c3RWxNWzIz4lQoqfHhqGxTvO0/xe0ok4b1gKtVJuijBCHMaInkWy4BmMVolFB5SeB/Z8DuizgXbjgM7XA6pEcnGItg4RtXP1Vmw/U0h/z8kcEiUX+rRur9dzmu30/OUNIvxeKjEjQSOptZ/Ea9SEFA3NGZaMgSnh1OmDdIBrZULIGtHp3ZyQLnVVA+qWyJz8zrReeGLNYew4e/l+a1QHLV6d0q1ReevZpRZYqsUkVudCsRmlJke956bucQqsf2g4Pt5yFvsulNJ/98DoNPRKVEHRhO9CZSwJm0MYrRVdmRkXLxZh7ff7YDLaMHpsF/Tpl4LIRoiZoUiR2YRMow5/51yCWiTGkJhEREpkkPAbf94ospfA7vZeyECEdYPTiHChqtb1KulSr0mkTIq5Q/ogLlKKo6XZUAskiBBKIeIF1xVQwA1v0OMjopR49eu78Mp9X+PCqVy6j8MJw/ib++OGuSPAb8Raj86y0+dYqXUbnO4y8LhXXiMjESRDOyVjxaO34tNfd+FsbjGStCrcM2EQ2sVENMk9ubyczCFhLUILefvtt3H69GkIBAL07dsX27dvR0SEb+fMUKfe37jffvuNetVXQiwALl68SDvWExMTMXfuXLzyyivU9z6UuWgqxF27PkeZ43IH1oacg3iww9W4MWEApPyGLya4yt0otOqRbS6B3mFBskyLcIEMCoGk1QnrRzLy8MB/v4fVcbkbIylKjY8evBGxjRVVr3DeoCcWLyeXdrG1f7HvuKo/JCI+nl/ya5UgTd7Xm3ddi44JkbRjrrUgl4hw/eCuGNwlGaUGM51MSI48KRQgf28MZBL2ha8OTl9EquW4ZWQvXNWnI7WlIVbwje1YN9vtyC4zYNXBI7hYXIYByfG4unN7xKmUNAOZwWgtnD14AY+PWkizgAgHNx/FTx//hn+vXoBB1/UFX9DwC2+73Um7gjOzimGzOZGcHAG1SgqpjxzYliys/3kyA0+t+sUj765fchzeuvUaRCr8UwRF5hBvF6h9kmPxw35PUX7huGHI+ekoXp+zFM5/5rnUHkn084vv0LqsZklm/N2jB2Jq/+4oMVkg5HGhkYpptW1jKK8jJ53g9LHgVZfAfl/nYZie1odeBoQLpY2+kTAYrMjJLcWPPx5ESakRQ4d0QP9+KYiKCm5RBIPRIJwO4PxW4JvbyC9cxb6MLcDOD4HZPwEJAxp1QM02J4qMNqQXGEEuH9Mi5bQzmQiorYkysx3Ldl3E27+dqdr3+i+nMKV3HM05b6yoeqWzTpiXR4gFXPRKUOLApVIPYX3lrcnocfwtCFb8cLljNGUEMPljQNW6XDkiad5uVzw8tj099sQqPlwqaFTHIeFKXZhOV/27NMl9UHK4FM9M7Iz7R7cHl9wjNaHAothoo/m9S3depA4GN/WJR98kFaKVrLCe0YqwGYHDK4CNT1/eR+aQ7e8Ac38DtB0a97xWHWAsBApPAQIpEJ4GyKKBIC/WN5Qigw1v/HIKaw5keexfML4Dbh+cVKfNedPWsmrvkwi46BQtx1/VhGeFmIcPpvfGJ1vO4YPNZ+k+Mmdf1zMW/7qm8xUdR1oasSoxPry1D0pMdhisDipakzlE2cjjXJlL7wtXA1waiKtLhyg5te032ZzgczmN//z/cWY5lqPHyj2X6Gc2Y2ASOsco6oxfYTBaGnqdGYsXbcVP6w5W7du/7zxiYlR4+/0ZiIpu3H21vtSEkkIDsjIKoNTIEB2vQXi0ApxWtDZPyDcZ8fCWn7EzN7NqH1mrfn/kNRif1K7RsXbe7jPqcw6LVyqQpdNX7SM/vzR5NN5J/xXv7Mqn+/gcLmanDcbtaYPpWktrgljDv750PsqKTbCZ7ZCrJFBFyCBpZAStu7wuJ4ZylKPuta7qSEUCdEuMxn9mXQOz3QExnweZuPHne5fbAbvbAovLAE4YBxKuClwOn0ZCBoPevXtj//79QXntlkq9P4lLly6hS5cuHmL71KlTkZSURH9++OGHcc011yCUMTqseP/UBg9hvZL/ntmIEVGdGyyuE1v547osLNi/BAbn5YrWcdHdsaDzJEQIg5+lVF8Ky0x46KMfPIR1wsX8Urz97Ra8fMcESEUNP6Eo5GJcN7EnTqV7z8677pqekHs5gSZoVXTLLKzIJSd/T4xU4aVlmzwel1Osx/z31mDVc7MQF9G6FtqJBTwpDmh04UI1lGIRxndqh3VHT3odv75H5wY/JxFCNIqmFYkQUX/b2Qt45Lv1qLwl2nbuAj7ZvgcrZt+MTtG17ecZjJZISV4Z3pj5QZWwXj1m5M3ZH+LL4+8hKqlhWdcWqx17957Ha2/8REX2ykWaW24eiGnTBkKlbD1FWvl6I55ctaGWnd++C9n4Ztdh3Dd2UKMKdDRCCW5I6o4l6d6tsW5O6el1/8C0RGqRrrNU2DUObZcI498XsP6DXzwel3HkIp4c9xL+7+9XoY1vWNVtsBEL+IjXKOnWVGQyETp0iMaZM97n6p49Ehv8nKTgTStqWlGFyWTFTz8fxJeLtlbt270nAxHhMrz/7gzExga3Y5TBqDfGPOD7uy4L65WQ+weyf+6vgLxhkQ5EFP12Xxbe2HiqyrKWiMAvXd8Nk3rGNKibOdhcKDJ5COuV/HAwm9rMEgGiMSglfGpfuzOjxOv40Ha1i3nJQvzMQUlYtutSVS75nP5a9Dj5HgQnv/d88PltwJq5wK0rAWnrqvi/3PHe9AU50skYIROgyOh5jUQg+e7x6oYL2ULiDNaEDpFKYf31DZ6C2x+nCqjw9dWc/ohhAjujtWDMB359pvZ+Symw4Qlg2teAuIHXg0RU3/oGsPfLy/uIwH7zEiB5ONCIxpNgsft8SS1hnfDupjMY3j4CvRMbJ4yoJQJ6/soqrd1FKORxanWtE4jQ/NhVHfHX2b+r9j04pj19LyTbvBIyba87lEOf54Xru0LSyoriyHm/Kc4y1SHHkVy/OLwUYhERWy1p+PUMOZ5NPab5eiseWnmQfr8q+fV4PkZ11OLNqT0a5fTCYASD3NwyD2G9+v7v1uzFXXePAp/fsN+X4gIdPvjXGuz54/IatFIjxUtf3Yl2XeNajcBOdJ3lpw55COsE0jDy8Jb1+OPmeUhV1s/BrybhAjWEHAFsbrvXMTmv9lpJpEyGBaOGYsG6y+tWC8YPwb+P/4AC62V7c4fbhS/T/4JGIMXMtIHghrWO412JKlxOt2Z5LvEgwIdRmVzQCzxOwzUXIrKTrSkQYb3Eng1nNfHf4jJCwlVCxg8HN6xp9zmM5qHevznkpFY9IH7Xrl0YNGhQ1c8qlQqlpb4t80IB0lX+d2HtRZtK9hafa/BzFlh1eGDvIg9hnfB73lGsy9wLVyvKUszIK4b5n27wmmw7koFSg3erv/owsF8q2qfVFlE7to9Cv17JXv8NsaL/+KEb0ad9HP158pCuWPln7YsBAnnf24/5zkZsC4j5fNw/YiAUXgogBiUnIC2icRcDTaXQaMST6zZWCeuVmOx2PPnjryg21bZMYzBaIvoiPbLTK2yLamI125B3oaDBz1lQoMdLr6ytEtYJZKr+ZvVuHD3qeXHf0tly4pzP6McVOw+j2Ni433UBl4e5HQcgmtjv1uCquA5IUXgXxGNVciyZPw0doivEjsnt0vDz+xu8PrYwqxiXTrWM7KpgoVRK8OhDE2jMSU0mXdsT4eHBiV8pLjZ5COuVFBUb8b+vtsFSo9iFwWixEAtfm4+8t9ILgNl7lEVdnMk34NUNJz2yYMnC9DM/HMX5otrFxC0VYrW65G/vsRSET7eeo91xjUEpFuDFyd28ZnjfNyoNkT46z+I1Yiy/c2CVKDy1oxCCk995f5GsPYCx4dcAoUSUXERzbr11cT59TScqvAeDjEKTV8HtVJ4B3+3P8pqjzGC0SC7t9J2xfn4LYPFeQFQnZzZ6CusEkuW+cnrFnNWK7ODJPOGLRTvOV1l6NxTSUf7OtJ5eM7xfuaEbtXX3Bumc/nRmH3ruI93OJO6iurBene8PZHvNbm9LkOP05IROtfaTOeX1G7sjOkid/X+lF3kI65VsOV2Ig5cqmoAYjNbAbxt9R7X++sthlJU1bK3GYXdizedbPIR1gq7EhH/N/AxFud7Pdy2RIosZXx0/4HWMzLq/Xkhv9HOr+Arck3Zbrf1ECH+w3e3QCLwXxQ1LScK/x4+CVCBAhFQCG8fmIaxX5/P07Sj0MdZWEHCjECW9udb+sDAB0sJfuGIOvD8gNvAmV5mHsF6J2aWDq85ue0YgqXdZUefOnfHTTz/R7HWSs0462UePHl01Tizio6KiEMq44aZmEL6wuz07tuvD4bKLsPnIz1hx4S9MiuuDKLFnfkZLpUTvezIlFVsNtRWvDskjf33hTdh36AJ++uUw7Yi+fmJP9OmZVGdWOelEf+fu61BmtNDK3s/W7/L52KMZeZg+CiGL2WpHmYkch3LIxUIopbU7QBLVKnx3521YuucgNp/OgETAx+wBvTGyfSq0suDYxJwvLoPNx3fndH4RyswWhEtbT3cuo+3ivpJtdjWBvD6QgrcNGw77tFL9etkOdO+WAFVDQvCCSJ7O6HPMYLU1aQE7XqrC6rGzsTHzJH7OPAkJj485HQagpyYWESLv5zYyz7SPjsCX826i587yIhMMpb7f48Vjl9B3XA+EKnqLDXqLlRqTKSQiyL0UYqWmRuLzT+ZgxTc7cfhwJlRqCW67dTB6dIuHXB4c+9zde30vlm7ddgrz7xwFsbh1WZcy2ihXus9oYEGu0ebAh39WWMt644tt5/HWzT0gamLnbyBwuNzIN3jPtK0UTshjGks7rQw/PzQMq/dlYtuZIrqIP39EGu1e9pW/KuBy0T9Fg+/vHULzxJMdZ+v+jEhXadRll7hQo8Rkg9HmpBaZGomA2sjXtHIfmhaOdfcPxfu/p+NUrp52IhLb+S6xiqDEFLjcbizb7btoY8XuS5jWL4Fa5DMYLR7nFcTXmq4oV8KQX2Ep72u+OrEWGP4YWgNkfiDZ6L4oMlTMIY3Nyu6doMIvD4/A4h3ncSirjMZWzB+RSgVzX3OsVMjDVV2i0TNeBZ3V4bXzvbolOjm/hjIFBissdhfNsyUFCTU/C9JhfnO/eDpffLA5HZklZvp3MoekRcqCklFL3IGW7Lzgc3zxjgsYmhYBmah1OQ4w2ibVmzlq4rC7KlTkBkCs4H9Z4X193mSwIuNkDiLjWofDHImd0Nt9z7F5psYL1wIuH/3VPfBWj6exLvt35FjzkSZLwrUxoxEtjPB5blNJxJjepwfGdkij7sJ/lHjGHVanzG6GzRW6cwhZNy0uMtLvMGkE0YTLwOV6ziF8rgrJmsehloxAlu4zOFzFUIoGIkF5L0T84ER3uctdsDgvW/vXhIwJBOwepCVQ71n8ySefxPTp02mmOhHXiQV8SkpK1fiGDRswYEDjsv5aCzKeGN2UCTim894NOIDkSzWQSybfXSakm93Z0JucIEIyy30RrpA02Q6DiOgTx3XHsEHtaXaVXFq/kwgRkclWojdRa/iMXO/HvHNi6NqLZxXp8N8ftuOPQ2epQNU9JRpP3TIG7eIiaB5LJWRiJgL7E2NHYP6QAXShK9jCtc3pbLb8LAYjmMg1cmiiVdQeviZcEvGQ1jA7X6fThcws310mhQV6OJpQ1BRohnVMxtK/vbuLdIuPohbmTYFkeM/pOBA3pfYEL4wDGb9+MSXhMgndCmzlkCgkMPsoJEvoHI9QhIgL5wtL8MbPW7DzbCbtABnWPhlPXjsSKVq1xw0duVlJSorAow9fDZPJBh6PQzvag4nN6nsOIYUp1V2ZGIwWjTIB4AoAlxcBgNiJSxoWS2F1uJFd6luQvlRigtXhahXiOsmnHdclCn+f836NP6RdBBRNWLwm18NJ4VI8Oq4D7hqeShf162sVS4RXKr4WKwFit+jr3k4Wmvch5Dt0MlePf687hmPZevA4YdSin+QY17RDJoJ7j3gV/m96L5ptLuZzfRYvBAIyPZD37wub002LtxmMVkHSUN9jMT0BUQMt4YmArq/t6lBFwSm0Fsh5ZkhaOFbv8/7/Gds5ks4zjYWst7SLlOH567rCbHNCKODQDNb6zD0xKjFiIPZZTE0fFwbIvLirhAJ6qwP7LpTi5Z9PUEcdMi/cOiCBFidE14jlILnoJKqlW5ySnrulQi5kwuDNIeQjq8vxgDSQsLUsRmth7Phu+GX9Ya9jw0d0hLyBhYYOmwM2q+/O27zMRripBAnSuNFHG4MDhd5dKkclpDbp+cU8EVJlibi//SzYXHaIuELwOVc+5/O5XMQqK+zMM52+m2EVfBF1ewxFdGVm/L0jHYsXbaUCu1wuws3TB2HiNT2g1ng6Kwq44dBKJ0IpGoTycgd4HDm4nOA0iFRSV4NvQ3LgGf6l3qWXU6ZMoQJ6jx498Oijj2LVqlUe4xKJBPfddx9CGZVAgie6XA++l0yDa2N7QytseGZpd5XvDNJYsRqCepwwWwqRKhmGdPVu0f7IlOHQKpvHEpbkq9dXWK+ORiHFvZMG+8zkG9Wz4cURTYEs6BeUGZFVWIa8UgNcTeioqYu8Ej3mvb0Kmw6kV3V+Hj2fhzve+gaZBaU+bwC1cmnQhXVCO2047XLxRrRCBpWYVWoxWgcRcRo8+vndXqtL73j5FqijGjaHkEyrXr18zyHt20dDHMRF6YbSPiqCirU1IYfrqWtHQu3FbaOhkHOJSiCut7BeHU2MClMXTPI6po5SIalLYMV1MmeQWICcnFIUFRn8JhJnl+px68ffUGGdQF5m+5kLmPHJN3TMGyIRn9rAB1tYJ/Tv7/tmtkePBEilDf8uMBhBgYiv41/0Pnbte4A8pmFPJ+ShV4Jvd6x+yRq6MN0aIPPqVV2iEO4lu5Vk0d4zMq1ZOp9JxxxZvG9UBqtUC3S+3vtYdI+K8QBCFvyzSy24WGyiHYH+4myBEVM/3UmF9coOyx8OZuPWL3Yht8x7JybJcSdWysEU1is/76l9fM/tE7tFQy1tPddZjDaOLAroe0ft/Vw+cO27FUVaDYEvBqK7+x5PHYnWAikiu3tkGp0vaqKRCnB1t+hm6XwmhVkqqaBewnpNSDZ35xjvjo2TesQGPDqDFAlklZppIR5xJvEXuzNKMHfx3qqoGovDhUU7LuDBFQdR5MMKXymumEOCKaxXvo/re8b6HJ/SO44+hsFoDSQmhqNX76Ra+6UyIWbdMRyiBjbTCcUCqOtwoU3rWhHv2hpQi8R4btBo6vBXk1SlGp01zXONL+DwIedL6yWs16SDIpJmq3vjjnZDoBUGNsJPb7Uhq0xHN/J3f+BwOLFxw2G88+Z6KqwTDAYrFn2xBYu+3Aqj0fv9j4CrhpAXGXRhPSyMCxHXt4OwmNvwHHhGkMX1l156CYMHD8Z7772Hp556iorp1Vm4cCFGjQphT+1/aCePwrKhD+LqmF6IFCrQQR6DV3pOx4MdJ0IpkDTq+aJF3he2HugwAVpR6/llUcnEWDhzPGaP7wvJPxeyseEK/OfOazGseyqtvA02fTvE44HJQ8Gv1q1Nuuo/efgmRGt8T+zNTanRgnU7j2PWGytw/fNfYforS7H4t70o0jd/vuXuU5dQqKv9vE6XG5/+vIvaxbdkIqRizB/av9Z+8m166dpxiJQHJ8eXwWgoZFGm56hu+HD36xh4bV+Ex2rQdUhHvL7xOVx713iIGlE0NHxoR0gltcVBsv4zd84IyBrxnMEiSinD53NvxJS+XWmVLYHknS+6cyo6xQZWdPAGj8/DtfPH49q7x4PDuXz5FNcuGm9tfh6RCQ1clGwCJSVGrFy1C3fdswgzZ3+G+x5Ygo2/HoFO17hcel8Q54OVOw/BbK9dVU5ugtYdOOG3wrDmIipKgRHDO9baT7rs7793bNDs6hmMBkOEjJ63Arf/CCQOqRDT08YBd/0BpI0hLW6NEBNSaSdxTYjAMGNgYtW5uDUQr5Zgzb2DMb5LJO3iI/RPVuP7+4YgqUaHdFAg93RXvw60n+C5P7YPcMuygHau5+mseH3DSYx9dwtGvrUF0z/bhT9OFdAOweZEb3HgPxtPeY11IRbHBzNbft5s9wQVusfVvh9XSfi4a0QqhNXuKRmMFo1EDYx+Drj5ayCmF6CIBbpNBe7eXlHg0+Dn0wDjXvIxFg6kjEBrgswTP9w3FANTKgp9yTwyrnMk1twzmM4vwSZCLsTns/qhe5xnMfb4zlH41zWdIQ2gkEws15/54ShGvbUFI97cgtmL9uLAxdI6nT4aQ77eipd+9m5lvPdiKbJ9FGi1FLicMEzuFYsYZe378aRwCcZ2Du1YVUZoQay0n/n3ZDzy2EQkJkVAq5Xj+il98cnncxHbCPv28CgFZj16ldex+FQtYpMa5sgVbDprIrHq2uno9I+QLuBwMbV9NyydeDOipYHTGnwRI1Fh0dDZSJRqqvZxEIbpyf1wU2If8DiBuZ4lDSHnikqwYO0GjP14EcZ8vAgPff8T0guLqGNic1JSbMLSJX95HSOie1lZ866dNTcc4rbJC0eYF+lWwBGBF8aiDVsKYeX1bHXicrnIzc1FZGTrtazT6/VQKpXQ6XRQKJomWlucdhidVvA5XKh8VP/UlyxzMV479gP2lWTQn5V8Me7vcDVGR3VtlGAfbMhifLHeRHOpRAJes3WsNxdWuwPFejN9j0Rk18gl9D0GSvwnx2fFnwfxf99vrzU2eUhXLJg6kmaiN9drPfH5z9h2tOK7VROlVIRVz85EpDr4k31dlJrNOJCZi4+370aOTo9uMVF4aNRgpEVoIBGwCaW1nDdbO815LIi1uMVohUAsgFzd+HMksQi8cKEQb7y5HmfP5dN95EbnkYcmoGePREgkre/3g5yjS0wWenEtEQqoJXtLgnx2pQV6lBXoaEGEKlKB8JjA5YGRCtuPPtmMX387WmvsnvmjMeWGflQ4bg5KjGbc8cW3OFfg3Zate0I0PrtjCpSSll3EUVJiwu4957D6293Q6y3o0ycZM28bgthYFXWAYPgPNof46VhYSgGHFSD3IE0oxLU5XDiUWYYnvzuCi8UVCwxpWhnevrkHusUqwW9kvmwwMVqdNOfUjXIoRHzaad6iIJ+dqRAwl1Z8dqRjvaEdo02AdPrNX7oPBy7VFra/nN0P45pxsZ90phPx3u6jCOuG3nF4/5ZeaOmQYoQfD2dj2a5LtGvymm7RmDcshdraByPHty3B5hA/HQdzSUXEiFBeMY80FqseOPcH8MuTgLHiPgRxfYAbPgW0tQsbWwNk/tBbnXQpm8wfLS0Pu9hoQ5HRDoPVAbVUQB1bAjnP5ZRZMO2znbUy4ImQ/OP9Q9G1hvjfFDIKjRjzzlaf489f1wVzh16OKm2pZJeasWL3JXx3IJsWbdzcLwHT+icgTsUKfP0Jmz/8dyxKS010HYpYbAua4AylLzXhj7UHsOz9X2nOOrmm6jOiAx586SZEJVwWgVsTxRYTjA47uGEchIslEPNaljtFodWAEpsJZpcd4QIZNEIJZPzAreVklpbhhkUrYLB5dqtLBXysnTcTSWrfrmoNJf1MHu69a5HP8TffvRV9+gZnDrFarTh//jyN2xaJfB9/Itm6yh0wOUthdZuo0C7lqSDiyMBtRU7X1XnhhRewdu1aHDp0CMGmrs+hIefNen8SLJPSEzFPQLfmIF4Sjjd6zUCZwwS72wk5T4QIIcl2aJ2V8ESwjta0XBFOJOAjLkJJt2BQqDPi8/W7vI79uPM47riqf7OJ61wOB1qVtE63AS635S+cqiUSjO2Yhj4JsbC7XJDw+ZCLmJUvo/VCsrvJ1lRIUVBqaiTefOMWKhoSRwqFXEQtuVvrgi85R8c2MV89EJ8d6VgPBqTC1puwTliydAdGjuiEqAZGDPiCdK2qJL4XfjQSMY0RaeloNFJMvLoHBg1Kg8vphkwmotb1DEarRawGmmFNlsQiDUwNx7f3DEaZ2UFdgcgivVbeeq+xiBDS0sSQ2p9d4AqyapJZavYqrBNe+ukEesQrqf1wc0CuUYhter7eu91jrJduvpZItFKEO4el0mKAcjeooEXsnRmMVgvpOm8OSIEQibtIGABYyios5slzk871VgqZA1tcUVY1wmVCugWLA5dKawnrBOJQ8p9fT+PDW3s3W6QHn8sBnxsGh8t7P5g2iMehIcSpJXhkfAfcPqQiQjNCKmgVa3AMhi/U6qY1GFaiUEtx3awhGHJVN5iMVgiFPCg0MsgUrbfwJFwspVtLRSuS0y0YkOaZ74+cqCWsE0x2B1YeOIzHRg1rNuc0gbDu+0GJFwfQlgZZ0yUd6gq+FrLyimsrThi3Ra/1jho1Clu3VhTGCYVCpKam4oEHHvB7lPiff/6Jt956C7t374bFYkFycjImTpyIBQsWIC7OvzETDZrRW/KH19pRCMRIlEagnTwaUWJVqxXWGVdGb7LBYvNuu0h8JHJLvGfYNnZRa+pw3zZvs8b1Rbii5U78NVFLxIiSy5iwzmDUQKWS0Bys1BQtIiLkbL4OYfLydD7HLBY79Ibms0gkhV7zRvbzOT57eF+IW3AhRE3UKin9/WDCOoPhCRFTO0TJ0T5K3qqFdcaV2X+x1OfYpRIzTLbms/Ulwgfp8PYFEatbC+SeivyeRClFTFhnMDx/OSos5qO6ABHtW7Wwzrgyvx7L8zm2O6MYJpuz2Q5juEzgM7OcxNf0Smi+Dkd/QwoFSA482ZiwzmBchsvjIjJOjZSOMYhN1rZqYZ1RNwabHVvPXfA5/lfGxWbNX1cpJejQ0XtDDGlGCo9oWS7LdREWxqGd6mSrrs3qjVZczCnB8bO59E/yc0vgrrvuou7nJ06cwLRp03D//fdj5cqVfnu9zz77DOPGjUN0dDS+++47+rqffvop7Tp/55134G8aJK536NABGo2mzo3BYNSN8AoWtDJR81ZKx4YrsWBq7cyzMb3aYUT31GZ9LQaDwWD4F+kVujSaYs3mje7x0bhlYO0irTnD+6JDdOCsjBkMBoPRdOoqnhD80yXYnIL0Db3iMKKD51xB1oRen9K91XSuMxgMBqOC2DqszDVSQbNGLUoEPDx2VUd0ipbXmqu+uL0fohSsGJDBYDBaCwIuFxqp7zlEJRbTxzQXSpUEz/x7ci0RXSoV4pU3ptGmi9ZMfrEBz3/wM6Y/9hXu/PcK+ufz/11P9/sTg8GAGTNmQCqVIiYmBu+99x7tVn/kkUeqHiORSKjQTbrWiQ18+/bt8eOPP/p8zi+//BKdO3em1uydOnXCxx9/XDU2d+5c9OjRA7Z/HA/sdjt69+6N22+/nf6clZWFhx56iG6LFi2i74V0rY8YMYI+7/PPPw9/06AV2BdffJH6zTNaL2aLnVZKCpt58Z1Rf9RyMbomReH4xX9yyaoRoZBCq2re6im5RIgbhnTDsG4p2HXiIsw2BwZ3SUK0Wg61vGVlGTMYjJaLu7wcFqcdAi4PfOauEjQiwmXU5pzkiNekc+cYWqHbnGhkEjx01RDcOqgntp8+Dw6Hg2EdkhGpkEIhZsIIg8GoHyS2xOp0Qcjj0g4uRnDonaimwoS3HPTJvWJpp2BzEqkQ4d1pvZBdasFf6UVQSPgY1i4CkXIhpFewa2QwGIxKHC43bE4XxHzSucUcNYPFTX3i8dm2DK9jdw5PbXardiLmL5k7AOeLTNh7vgQxShEGpGhoXEdriKZiMBgtA7vDCafTDbGIz1weg4REwMe8gf2wzUf3+l2D+jW7S21CQjg+/OQOZGQUIP10HhKTItChUwwiIxWt+ntAOtRf/+xX7D560WP/7iMX8Prnv+GlB6+FQuaftTpis75jxw4qlkdFRVHx+sCBA+jVq5fPfyMWi6ko7o3ly5fT5/jwww+paH7w4EHa+U7E+9mzZ+ODDz5Az5498fTTT1Mh/9lnn0VZWRl9POHbb7+lz/3kk096fX6Vyv8uNw26o50+fToiIyP9924YfiO/QI+de89hy1+nIZcKcdP1fZGcFNHsi/ANoazMhFKdBTabA0qFGBqNrE2I/iTn/JU5E3H3+2tQUGb06Fj/v/snI7KZxXX63GIh3ZKjmLsEg8FouKieZSrDTxePY0f+ecRKlZjdvj+SZGooBMETVw2OEpicerjKXZDyFJDz1NQmKdQhFbavvTwVjz3xDUxmm8f+Z568Dko/zOskd51s7VmnOoPBaCB2p4vms67ccwlHs3XUfn7WoCTEayQQ84OzMO52lyNfb0WxqeImnwjKUXJRs3bctVSiFUJ8cXtf3Pn1Po8cW9IZ+Oj4DlS4am4iZEK69WxFFr4MBqNlQGzGL5aYsWTHBVwsMaFfkgZT+8YjXi0GL0iFWkToLzDYUGKygc/h0I5tUkjUFohRifDalO54du1RGmlYyaiOWlzXI8Yv82ilnfqgVBY5wGAwGobOYMHF3BJ8+8tBFOtMGNE3DSMHtEeMNniNo3a3HaV2PQxOEwQcPpQ8OZSC1t1FXV86RUZg7oA+WLTngMf+GX17ontslF9eUxupoNvAQe0QKpTqzbWE9eoCOxn3h7hOutaXLFmCFStWYOzYsXTfV199hdhY7xEuLpeL2sEfOXIE8+fP9/qYhQsXUuv2G2+8kf6ckpJCbd2J1TsR12UyGZYtW4aRI0dCLpfj/fffp/nqCoWCPj49PZ3+nXTRB4t63z235oqOtk5uvg4PPrEChUWXrSG2/Z2OG67thbmzhlNhO9BcyirBi2/8iLMZBfRnAZ+LW28eiCmTetNM1FAnKUqNJU9OR3p2EU5eKkBKtBpdkqJpNzn7XWMwGC2JdH0hpm3+GkbHP0JuIfDDhaNY2Psq3JTSE1J+83a5XQl3uQs5lvNYdekdlNgrHECEHAmuibkDXZWDIOa1nuykxkDmiHbtovHF53Nx+nQuLl0qRocO0UhN0UKrrbjAZDAYjJZAeXk5Dlwqw6z/7a4ScndllGDZrovU0nVkB23AxRGLw4U9GcV4/NsjKDRWzGuk0+6tm3tgYGp40AT/QEE6/QanhWPzY6PoccjTW9E/WYOUCGmbEYcYDEbrwOpw4bfjeXh09eGqfWQO+fKvDKyaPzgoBTs6ix2/Hs/Hyz+dgOGffPEEjRgf3toHXWMVQRP8A4VcxMfknrF0HtmeXgiDxYnhHSIQpxIjvJm71hkMBqMpGExWrN54AIu+31W17+DJLHz94x58+sKtSIxRB/wA6xwGbMzdih+yf4OjvGIOSZbEY0HHeYgT+0dcbkmoJWLcO3QgburZDdszLtB7xeGpyYiUy6Biroj1xlityaYx440lIyMDDocDAwYMqNqnVCrRsWNHj8cRW3diyU46yrlcLh599FHce++9tZ7PZDLh3LlzmDdvHu1Wr8TpdHo4pw8ePBiPP/44Xn75ZTz11FMYNmxY1Rj5DgVbR6u3uE7eLKP1QbrCl36z00NYr2Tt+kO4dkKPgIvrBYV6PPrMNygqvty1bXe4sGTF31Apxbjh2j5tonMkSi2nG7FrZzAYjJZImc2C5/ZuuCysV+PlQ5swMiYNUn5gHTHK7IX4X8bzsLutVftsbjN+yP4YKoEW7eQ9EeqQOTI6Skk3BoPBaKnk6214+JuDHh3SBHc58OjqQ/jl4RF0QT6QXCo2Y87ivfQ9VEJE9rmL99L307FGtmuoCuyJGgndGAwGo6VSaLDh6e+P1tpvdbjx+LeHsXL+IOqKEUiOZunw5JojHvsySyy49Ytd2PjwcCSGh36jiFTEQwrZIkL//8pgMFovRaUmD2G9klK9BR+v3Ibn750IiThwjSLucjf+LjqA1VkbPPZfMGdh4bH38UaPJxEhDLzgH2iUYhHd2muZG0ljkUmETRr3NzNmzKD27cQOnnSUk2hJbxiNFbrgF198gYEDB3qMEVG+ErfbTa3oyb6zZ896PK5Dhw7Q6XTIzc0NWvd6vcsqyX+EWcK3PvQGKzb9ecLn+OatpxBozl8s8hDWq7NkxU6fYwwGg8EILGV2Cw4UZ/u0iz9ckhPwj+SEfo+HsF6d3/KWw+ysXUzGYDAYjMBTYrJTgd0beouTCieB7oL8fFuGh7BeCdlHxmwOV0DfE4PBYDC8k1FkhM3p9jqWXmBE6T/RHoGCvN5bv572Oma2u2hHO4PBYDBaBjsPn/c5tn3fOeiMloC+n1K7Dt/WENarxhw6XDJ7X3djMGqiVkgwsEey1wND9pNxf5Camgo+n4+9e/dW7dPpdDhz5ozH40jXebt27RAXF+dTWCeQzHZiKU864snjq2/EHr6St956C6dOncLWrVuxceNGakVfydSpUyEQCPDmm296fQ2Sz+5vQj+ctI1DHAdcLu83JASHo8KGJJCcO19hBe+NMp0Z9iC8JwaDwWB4F9DrwuH2Pb/4q9r3ktn7ohah0JYFh5uINaHfechgMBitfQ4h2eeBxGJ34WSu3uf4iVwdTHYnhCFuDc9gMBitAVcN15OaBHgKgdXpwtkC340g+y+VYp67vE24MDIYDEZLx1FHwSy5Rwm0QbPd7aS28L64YMpCH3W3gL4nRuuE5Kk/M/8qvP75bzRjvbqwTvb7I2+dQDLPSQ76E088AY1GQ5uwFy5cSAX0xlqzv/jii3jooYeoIH/11VfDZrNh3759KC0txYIFC3Dw4EE8//zzWLNmDYYOHYp3330XDz/8MM1gJ2J/QkIC3nvvPTzwwAPQ6/W4/fbbkZycjKysLHz99dc0s51kuvuT0A4EYkAmE2HYoHY+j8SYEZ0DfpSSEnxbf8hlIpq/zmAwGIzgoxSI0EGp9TneOzwuoO+HE8ZBrNh3lIZGEA0ehx/Q98RgMBgM72ikAijF3s/JJNs8UhFYyzqRgINUrW8b2zStDGIBuw9hMBiMlkBapAxcH0J1vFoMlSSw1/xCLgdJddi+d41RMGGdwWAwWgiDe/leN+rbJQFyaWDvQ/gcHmQ83x3F8ZLgWFozWidR4XK89OC1+OadOfjy5dvon+Rnst+fEHGbZKBPmjQJ48aNo4J3586dIRI1TtC/8847aT476Ubv3r07Fc0XL15MO9etVitmzpyJO+64A9dddx19/Pz58zF69GjMmjULLldFAc19992H3377DdnZ2ZgyZQo6depEn1ehUNCsdn/DxPUQh+SH3Dl7BKSS2jkigwekIS5WFfD31C41Egq591+66Tf1R7hGFvD3xGAwGIzahIukeLXfNeB7sfKZ13EgIkSBz9rrrhwKbph3451xUdMh5bEccgaDwWgJRMqFeG1Kd69jz1/XBdoAZ+WK+TzcMzLN5/jdI9PoYxgMBoMRfEie+oLxHWrtJ3r76zd2R5TCP51ZvtDIhHh0fHuvYwIuB5N6xgb0/TAYDAbDN5Hhclw9rHZDoVDAwyOzR0MuDewcohYoMDl2vNcxGU+KFGlCQN8Po/VDOtSTYjXo2i6G/umvjvWa3evLly+HyWSiOefz58/H6dOnqZU7YcuWLXj//fd9/vsXXngBhw4d8th322230Q510rVeUlJC7d+JSE4E++PHj+Ozzz7zePy6deuqMtgrIUI/sYwn/95iseDkyZPUTj4QOexMXG8DxMeq8cUHs3HjdX0QHaWk4va/HrsGTzw0AWpV4IWRSK0C778xHdGRiqp9xDrr+ok9cc1VPcDlsq8lg8FgtBS6qaPx01V34vrEroiTKGm3+hfDp+GezkOgEAT2hoSg4msxJ2UhJNzLcwgR26+KnokkaeDdWBgMBoPhHR6Xg1EdtVh7/1CM6ailnYbD2oXj27sH49oeMUGxX0+OkOKD6b0grdahTv5O9qVEBP6+iMFgMBjekQp5mDEwEUvnDcCAFDWdQyZ2i8bPDw5Hv2RNUA4bed2nr+5IxfTqLi1L5g5AnDrw90UMBoPB8I5KLsaDM0filYcmoVNqFGK0Clw/pju+fmMWkuN8O+r6C24YF2MiB2NC1AhwcNmVRSvU4MWuDyNCoA74e2IwGgoRwVeuXIlz587hwIEDmDFjBt0/efLkNnsww8pJKHcbgXjvEw9/nU5HrQHaGna7EwajlYrXKqVvK5JAUVRsRGmZCRarHeFqGVQqCaSSwHawhAJmsw0lpSacOJ0L8uvcpWMs1GoJZAGuwmOEJm39vFmdtn4sLE4HjA4b+BwuVEJxUN+Lu9wFvaMURmcZXOUOyPkayHgqCDhsDmkoZqcRRmcpMs3p4HMEiBe3g4ynhoDLjiWj6bT182Z12vqxMFgdNPOc2K7LRcGN77C7XCjU25BvsAHlQJRCCK1CCEG16ndG/Sg22pCnt+JIlg4RMgE6RSsQrRCBz2PF0oym09bPm5Ww4wDoLA7YHC4quJMtmFjsThQZ7fTcR0R24tISqRD5tLBn+KbAYEVmiQVn8gyIU4vRLlKGGKWo0dmtDEYl7Lx5GXYsAJ3BAofLDZlECJEguHOI2Wmh2etlDj1EHCGUAjk0gsC7CocCxbZS5FgKkGctRJw4CtEiLTTCln8sid35+fPnqfV5Y+3UgymuE8t10q0uEAjQt29fahVPLN1bG3V9Dg05bzLfuzaEQMBrUZbrEeEyujEaj8FgwY8bD+OLxdtQWSZD7kNunz4YUyf3g0IRXAGMwWCEDmIen24tAU4YFypBBN0YjcfoKMOmvBXYV/r75WMLLm6Mvx9dlAMh5LI5hECynBwOB/uqeYHP53vYcTEYviCCerBF9UqIiB6nltCN0Xjy9VY8vvowtp8tqton5nPxv9n90C+FFGmxcwODwWgelGI+OcG0iMMpFvCQoCEbm0OaQlapGfOW7MXpPKOHC8CyeQPROUbOBHYGg9FsKOUtZ11DwhPTLUYcGey30qrJNufhhRMfoMReVrUvShiB57s8iGixNqjvLZTp3bs39u/fH+y30aJg4nqIY7bZYbU7IRHyIRK0jJsRRvNxIbMYn3+1zWMfEdmXrNyJnt0T0bdXEjvcDAaj0RisNjicLshEQgh4bJE81Eg3HvIQ1gluuLAm6wM8KH4P0eK2PYcQN5i8vDyUlV2+YWPURqVSITo6mi2CMmpRZrbDXV4OpYgUYbBO5lDC4XJh8Y4LHsI6weJwYc7ivdi0YCQSmfDEYDCaQKnJjnKUQy0RsGuMEENvceD5tcc8hHVCicmO2V/twY/3D0WMquWIYQwGo3Xhcrupcy+HwwlIDjUjsJTadXj91Kcewjoh31aEd9MX4bnO90PBZ82cjMDAxPUQxWC2ISO3GF/9uheZhWXonBiJ2Vf1Q6JWBSET2UMCq9WBVd/t9Tm+4tvd6NQ+GlIps/YNJdzlbugcpTA5DeCEcSDlyaHks2weRvNSajLjeFY+vty6DyUmMwalJWLGkF6IUytphi4jNLrWtxZ873N8X8lmXBs7p00vZlYK65GRkZBIJG36WPgqPjCbzSgoKKA/x8TEBPstMVoIBXordp0vwVd/nYfJ7sTEbjGY2jeedfmFEIUGO77eecHrmM3pxp7zJUxcD0Eq7bCJRTeJeIiQCqCUCIL9thghRq7Ogt9P5OObvZn055v7JWBC1yjEKJnYGioQEf3PM4VexwoNNmSXWZi4HoIYbQ4UGeww2JyQC3mIkAkhEzFZgtG85Bbq8Mv2E/hj1xkIBTzcfHVv9OuaiAg1E1tDBWKrn2utWIOoyTnjRTrOxPXQw+l2w1XuosX73DAOeBwO1UWCDZvFQhCb3YFf95/Gays2V+07n1eCX/edxn8fmIKBnRL9vkDsdLpppRiZyBj+we5worDI4HO8qNhAO04ZoYPNZcEpw1GszvwfjE493RcuiMTtyQ8gQZICbhj7fWM0HZ3Fis/+3IOlOw5W7TtXUILv9x3D8nuno2OM/y2WnG4nke7A4zDHFX9BLkpJZr0vyhz5NNu+rZ5XiBV8pbAeHh6OUBPFKzdyPVi5NQaxuGKhmwjs5Fgxi3gGWRR/8rsj2HL68qL5mfx0LN99Ed/fNzQggqvd6aYxSXxWDOY3SG6lye77PiO71Oy/F2cEhSKjDZ9vy6COBXaXm+4bnKrBm1N7ssIZRrMK63O+2otTeZfXOY7/eBxLd17EsnkDAiK4kmx3LjeMLtoy/IPV4aqKNfRGscnODn2Ikaez4vUNJ/HTkRy4y0nMG3BN9xg8d20XRCtZZzGjecgt0GH+CytRVGqq2vfiR7+gf7ckLLz/aoSr/Cuwk/trm8sFPocDLptD/IbFZa1z3OZmc0ioYXc5kWMpg9FZ8dmS1atwoRQRQhl4nOC6rLbNFdMQp0hvxturt9Ta73KX48Wlv2HJk7ci0k8Tik5vQVZ2CX5YfxB6vQWjR3RCn55JiNIqGvQ8JSUmZOeV4sjRLISHy9CjWzwiNDKaG8+oQCIWoFePRJxKz/N6SHp2S6CPYYQOedZsLDr/nse+YnsBPkx/GU91ehNaUXTQ3hsjdCjSmzyE9UosDide+fEPfDjreigl/lnYMjjKkG+9hD3Fv8JV7kBfzVjES9pDwdc06HnyzHqk64twrCQXyXINumtiECNWsBucagi5IiSIO+CM8YDXY9he3htcTtudcysz1knHeijhdrvp/438WQmxyyPZ6eTPxlB5jMjzMnGdca7Q6CGsV0K6XT/feg7/vq4LhH6KGSELt4cyy7B6XyaEPA5mDUpChyg5IuTCBi2K5ZRZcDxHj/QCI7rGKtAxSs466GpAupaTwyW4UOxdRO+X3LB5m9GysTtdWLrzAhXXq7Mzo4RmJi+/cyC0ciaOMJrOtjOFHsJ69bnl95P5mDkoyW+NIuTc/1d6ETYczYVaKsDtg5OQEiGFqgHuDA6nG3l6K/ZfLKXd1/2S1PQ5IhXs96M6chEPUgHXZ5FWcri0yZ8no2XFALz403H8cuzy2iUR2H8+kguHqxxvTe0BhZgV1TOa3oD2zS8HPIT1SvYeu4iMzGK/ievk/iHLqMeG82ewI+cCEuVKzOzcG/EyBWSC+t+HWJx2FFoN2F10AXqHBQMiUhArUSJcyLruq6PiKxCGMBodUxNeGBdyHptDQgmH24VLphJYaRNWBeSTL7KZ6PdAK5KDE0SXyba7ahrC5BTr6Q2wN/JLjSgzWvwirusNFqxcsxsr1+yp2rd733lERynxf29Mp3/WB9KN/dzLP3iIxjweB688N4VmiDOBvfKYcHHdxJ5Y+/NBWG0VIkAl5BhNvaFfSB4r4ohQWGZEZqEOZUYzUmLCEaGQQiULbZs4q8uCX3LXeB1zlDuwp2QbJsZMbRGWKIzWze6MCgtGbxy4kAO9xeYXcZ0I6z9mf4YT+t1V+04Z9iFe3B63JT0JpaB+3cOXjKWYtWU5sky6qn0yngBLR81AN01MUC+6WhIirhTjY25DevohlOOy0EqQcBXoIO+DUMThcKG42IhLmcWwWu1ISYmEWiWBzEcWWyhZwZOb/prCenXBXSBoXKZpKB0jRtP5dp/vOWTdoRzcP6adX6x983QW3PX1PhzNrnD2IZBF3Gu7x+DF67vWW2Anos70z3dR2+tKohRCrLxrEFK1bGGrkki5CM9e24Ue85qkRkjRLjI0j5WZ2KIbbDidb6Bdlx2j5dDKhJAIQ++eq6YjxRfbz3sdO5NvpCIiE9cZTYWcd1f9YwXvjVX7MjGpRywVvpubzBIzbvlsJ3J0l7vhfjiYjQdGt8NdI1KhrIfwR4T1vRdLaOc9iceopEOUDF/NGYA4liFeRaRCiAfGtMN/Np6udRxHddBC24CiuNaEweKgLiDkWoMUqZG5MlIuhMBPRYcthWKjHRuPe28K+vV4Hp66uiMT1xlNRmewYNPfJ32O//jHUfTtmtDogvK6OFNahKk/r4Tebqvat/TkYbwzYiKuTekIMf/Kc4jJacPmnJN49uA6uKuJxoO1qXi9zxQqIDIqUPDlGKkdgC2Fl9cOK7k6eiQV30MR4izpKnfC6baDE8YFN4xPnSZDfT3G6XZ5COvVKbaZoBZIIOAG716sVagwFy5cwLx585CSkkLtJ9PS0rBw4ULY7czmwRtX+p3y1+9cQaHBQ1ivJC9fh+Wrd8Fu9/6LUB3ymGWrd9bqxiY288++/AOKio0IBYp0RmQVlSGvxACnq/HW7aRg4cO3b6PZ6pW0T4vCf9+8FbHR9StmaG3C+omL+Zj+6jLc/f4aPPXlBkx7eSle+Po3FOpC47vhC5vLihzrJZ/jF81n6QTLYDSVYInPudbzHsJ6JVmWdJzU76HC4JUos1nwzN71HsI6gVgH3bl9FfItvqM0WgtudzktQsvJLaV/kp8bi1YQh7mpLyBCGFe1L1XaHfPTXoFaEIlQw2ZzYM/eDMy58ws8/a/VeOGltZg953N8tXgbyspqV7iHGuR3qKawXgnZX5/fMQbjSnDrmENI/Z8/Zhjy3V1/NM9DWK9k/dFcr12Q3sjXWTFv8V4PYZ3u19vw4MqDKDZeXjBrrThdbtqdeanEjAJ93ZaKV2JgigYf3tYb0f90ZBKL14ndovH1vAGICsEuTZ3FjtX7sjDmna246+v9mL90P/37yr2Xan1nQg3SXWquIwbgfGHoz6EM/0Pmh7oWiOk9ih8mEYvdif9uTvcQ1iv58M+ztHirPuQbrJi72FNYryxAeXPjKZhtV14Pa+nYnC5kl1bMIU2ZE/lcLqb1T8C/J3WBSlIhOhHHmZkDE/HGTT2g8UMBRbAhx+u9389gzLtbce/yA7jjq70Y+85W/Hm6kH4HQxmd1V5nDECoz6GMQFF31BmHXKj6gRKrBU9t/9VDWK/k6b9+RaGlftdI+RY9/lVDWCfsLMzA2kuH4Cr3fh/fmjDZ7cjW6ZFVpkOZpX5zqzekPDFmJt2AG2LHQ8ipmC/EXBFuSbgWU+KugpAbenOIy+1EmT0fRbZLKHPkocSejWLbJTjc1pBfx7H5ENYJ5Pel5u9MoGkVJdanTp2ii36fffYZ2rVrh2PHjuGuu+6CyWTC22+/Hey31+KIDVdAyOfSrKiaxGgUUEn90+H757ZTPsc2bj6OWdOHIFJbd6VVSZkJG3475nXM5XLj8LFMxMao0FrRm6zYn56F97/fRjuvZSIBbhnVi24RyobblvC4HCqm/+elqTAarfR0IpeJoFKGlo1tJfmlBtz7f9/BXKNTf9vRDKRsVuO+64fSY0DcGQgauRg8bmhUAfM5fIQLoqBzlHodjxLFgcvyqRnNwIDUBJ9jA9MSoJQ0/4K5w23DrqINPsd3F29EN9UQyHh1Fw2V2MzYVXDR61ixzYxskw4xktZbxUoE4G3bz+DrZX/R+BTScT3jtiEYM7ozVKqGzyF8rhCpsm64M/VlWF0m6nwh4coh5oVmx2F+gR4LX/y+VkHCD+sOoFOnWIwf1w1WqwMGoxVOR92LQK2RK910hfpNGSMw3Nw/Aav3Z3kdu7F3vF8WzEkX2PJd3s/9hK93XkD/FPUV7egLjTav4gqB2MSXmOwIl7Xebjoipi/ffQlf7TgPvdWJBI0Yz0zsjCFp4Q2yPa6EWLgSZ4D+SRoYbE4IeBxoJHzIRKFp7XquwIQXfjxeK3bt5Z9Pole8Cn2TNTBYHTDanDSrOZQ6L8V8LgRcTlXWek3i1KF578kILOScMmNgIrVU98ZtAxKhbsS56kqUmh1YeyjH5/gvR/PQMfrK9w9knrA6vP+OrD+Si8ev6tiqXS5IYdYnf56lczwpIOgULccL13dFjzhlo/5f4VIh7hicRIuySPEOEdfJeVPED431m5psTy/Coh0XPPaR43jvsv3Y9OhIpEXKUGa20zx60skeSgUGMiH/ijEBDEZTUSnEmDi8C5b/XNtViTB5bHe/dK2TBo+DhblexxykQaykAImKK+sYG7OPe7U5JyzN2IXrE3oiStx617IulZbh3S078OupdLjKy9EvIQ7PjR+F9hEa8HkNPweoBUpMT5iEq6NHwOZ2UEFdzVcGPX/bH5B1GrOrDDa3Z6GGG24qskcIk8AL48PpdNE1LFJIwuW2zH7qF154AWvXrsWhQ4fq/W/4dXympGSG45fy/frTMo90Da6++mp89dVXuOqqq5Camorrr78ejz/+OL7//vtgv7UWSbhCiudmjPMqxL50xwRo/ZQxUtOavDr0F7welSQup7vODvfiEmOrPhnuOH4Bj332ExXWCUarHf/buAcvLduEUqP3zML6QMT0+DgNEuI0ISusE05ezK8lrFfy7bYjNBLhve+24dbXlmHm6yvw6c87kVdSu4upNSLhyXB19I1ex0jGyNDwseCGhd5FBCPwaOVS3DNmYK39MqEAz1w3CgqxyD921eW+nRec5Q6U16NS1+aqu+pfZ29al14wIaLvD2v34/0PfqXCOqG0zIwPP/4d36zeDYul8c4Vcr4KWlEcwoUxISusEzZvPu6z03/Zir+RlVWCd977BXfO/x9eee1HmC02ev1SF5mZmZg7dy5iY2OprXpSUhIefvhhFBcXN8ihiVTZN+QGozFcyS4s1O3EGIGBZMtO6hFTa3+MUoQ7h6f4xfqU/Fb7Ev0IZKHaXY/iEdMVugqtVzgftGRKTXYs/Ok4/m9zOhXWCZklFty3/AB+O5FPReLGQM4bUUoRtbZN1EhCVlgnHaefbj3nc/zjredwrsCIh1YexIT3t9FogTX7M2nhRygQIRPg5n7xXsfI73aiJrTjuRiBgxT79EqoXUzbJVaBUR21fntdIoD4wuKlacVXfIIvnO7yOueplk6+3oo7l+zF0t2XqjrziSvMrV/swtFsT8ewhkAW/2NVYjqHJGgkISuskzgR4oLgDTL9rtmfhZO5esxbsg9XvbcNs/63G5tP5lOxPRQIlwowIEXtdaxfshoaaegUozGCB5/HxdQJvREdUVuAHt4vDcmx9YsZbChXuscgjh/1Idfi+1xaajPXS1NpqeTo9JixdDU2nDxDhXXCvsxsTFvyDS6WNX4O4XP50IrCES+JhlaoCUlhnUCs4E3OMq9j5HtButdNRiuyMktw8UIhcrJL6fogaVINNKNGjaL3h2QTiUTo0qULPv744yY9p4DDA9+H3qESSCDk8ateUyqVon379rjjjjuwf/9+BIJWIa57Q6fTQaPR1PkYm80GvV7vsbUFhHweRvVIw/JnbsPE/p3QNSkK00b2xKrnZqF7cu3FruZi5LCOPseGDEiDrB4XTGKxAInxvj/XHl2939QHk/p2ehWUGanw642/jp1HkY7Z6V2JrCLfv8NEdM/ILcaqLYdQarCgSG/Coo17Mf+9NdR+PxSIl6TghrhZNFOlEiFHjHkpC6AR+G+xoa3SVucQuViIWUN6Y8n8mzG6cyq6x0fh7jEDsOahmUjT+ueGRMAVoY9qtM/xHqphkPCuXKWrEIgg4/uea5Ll3m/qW8McUlpqoiK6N777fh8V2hm+IaI6yVn3RWGhASdP5WDzHydgMFhRVGyA0WBFQaHep8CekZGBfv36IT09HStXrsTZs2fx6aefYvPmzRg8eDBKSkpa1EdCbjZ8VeuT/Uxcb17a6hwSIRNi4XVd8b/Z/TC0XTh6J6io7euae4Yg3k/drWpJRQe1L27ulwAx/8odEcTK3FeNCemoU4kFrXYOIV35pPvSG2/8cooKJwzfEDGJ5Ir7gtgkrzuUTe199RYnzhUa8fi3R/CfX06FhDgiFvDw0Nj2uKpLlMd+UlCxdN5ARCuZuN6ctNX5g0C+S5/O7If3b+mF/slq9EtS452be2LR7P5++56RrtmR7X3fS0/odjmCry56xvt22CJFKDIBr9XOIRmFRpzIrb2mQv75iz+dCInYFH9CijfyfDjjEDKKTPhkyznq2kAK4IgLAhHaV+3NDAnLeLVUgPem9apVONMjXkl/10OpS78l0KbnkAgFPl14CxbMHoNu7WNoxvqbj9+Ap+aNh6YRTn/1QSEQIrmOzvTuWs9rJ1+Miu7gc6yPJhHiFmh1Xt85ZHvGBeQba2sedpcLn/y1G2Y7i4a4wpGuVVxBmuzKHTIYdQqcydIjR2cA+GEgtYJmsx2XLhbDYiZujIEvyrjrrruQm5uLEydOYNq0abj//vvpelljIZ3ryTINBDWKJxQ8ISJFFQ7ZpCmbvObx48fx0UcfwWg0YuDAgfj666/hb1qluE4WL//73//i7rvvrvNxr7/+OpRKZdWWkODb6jbUkIqF6JwYhednjsdHD07BY1NHIiVaA4EfK0HjY9Xo1zu51n6xiI+77hgBqeTK4rpGLcUD88d4HSP253GxLUcYIYLtr/tO4+kv1+PdNVtxNrsIJovvmwqT1U4FX1+cziz00zsNHbok+b4oiVTJUPqPHXx1sop0+PuEp/1Wa0XKk2FoxFg82/kdPNDu33i4/Qt4uvOb6KzoBQGXVfs2N215DiHxIf1S4vHm9Gvw+Zwbcd+YQUjQKP2WU0VIlXWHVli7gErOU6OfZly9nBkiRTI82m2E17FJCV0QLvTPDVVDIRe42aU6rNp1BAtWrMdHv+/EhaJSWB2+F090ejMcPjpnSEVqW8gMbwrku9u3T+1rlErapUV5Fd9tVodPRx1yk0C61X/77TeMHDkSiYmJmDhxIn7//XdkZ2fj2WefpY8jojWxvqqOSqXC4sWL6d9TUlLon71796aPJdW+lSxatAhdu3aFUChETEwMHnjggaqxS5cuYfLkyZDJZFAoFPTGJT8/38Nyq1evXvQ5yHuTy+V45JFH6Pfv3XffRXJyMu20f/PNN8HnV1T7EsrKynDnnXdCq9XS5x0zZgwOHz5c72PNqKAtzyHE1nVs5yh8PqsvFs8dgLlDkxGn9p/4RrJbZw5KgtaLZXvHaBn6J9ddkF1JuEyA6f29f073jUpDpKJlXGuRhagLZCH+z7O4f8UBLPrrPM2/rav7PD3fd6EpsbsnduYM30iFXPRJ8n0f2i1OQcWRmny7P6vObtbWBCk+eWtqD2xeMBLL7xyInx8chm/vGUw7ThnNS1uePwjRShFu6B2HRXf0p9tNfePpPn8hF/HxzDWdafxBTUZ31NIikvpAOrAH+Jhvnr22M3X5aClOHOkFBvznl5N4YMUB2jWdXVp3ke5fZ30XqJ7I1VNbd4ZvJHwunSd80TVWgfNe5pB3fjuDImPrL9CqjA/53+z++PWR4Vg2bwD986s7+vut8LIt09bnkKgIBaZO6IV3nroR/3nsBgzvm4ZwPwnrhEiJDK8PmwCOlwrded36IkJUv9fupopFgqT2tSaxvH6823goBS2jkFFnt+BkWS5ePbIBT+z7DptzT9K8eF/YnE5sPpPhc/zvi5kw2ELjWtlfhIHj0WRHhHWHRYUXV/yNm/6zArP+bzVuensZ3vh5K4RKQdW6Tn6+Ds5/3GaaC4PBgBkzZtAOcbI+9d5779H1K7LOVIlEIkF0dDR1HydrUqST/Mcff/T5nF9++SU6d+5MO907derk0elOXCJ79OhBLICQIotAgkCBGaOuwesPPolYiarKMp6sr5HXJGtcxPl8zZo19H2S9bPSUu9xQyEhrj/99NNVbfu+NpK3Xh2yWEls4m+++WZaCVEXzzzzDO1wr9yIdWdrg2TNFxfoUZing1Hvu1reF0IBDwqpmNqj+BsijP/rsWuw4IGraPc5+fmaq7rji//Oppbl9aVblzi8+dJUanFOEAh4mHxNL7y2cArCNS3j5j27SId576zGM//bgE0H0rFs8wFMe2UpNuw9RUV0b5DPoC7HVZWsZUyULZnkKDUStN4rAm8f3xdrdxzzOrZh90kY6yh8aE0IOEKECyPRXt4FqbKO0AgiwOO0vCr4UCAU5pByYqfuyke5Kw/lNfJ56oNEwIdCIgKP6/85RCkIx5yU5zE+6jao+ZFQ8MMxLGIy7m73OtSCyHoLLJOTuuHNAZMQLa6oYCSd7A90GYbneo+HStgyzrNn84sx9YPleGndZvx2LB0fb96Fye99jT0ZmXD46JImc2FdCAWhacXbnPTrmwqF3PvC5k039sMvG494HSOd7DUhXem//vor7rvvPojFnt8rclFPLuRXrVpVr0rhPXv20D+JKE+qbStjjz755BMq4M+fPx9Hjx6lNyTt2rWruj4kwjp5H1u3bsWmTZtoJ/0tt9zi8dznzp3DL7/8go0bN9JqYSK033jjjcjLy8Off/5JF1/IDc/evXur/g25xi4oKKD/jlhp9enTB2PHjm1xnfgtnVCYQ4ideq7OQjfy94YiFfKhFF8u3PAnxE72+/uG4K7hKYhSCGme+FNXd8LiOQPqLcoQgWXB+I54YkJH+r4JRLB/eXJXzBqcdMXM9kBABPQDF8uobex/fj2NDUfz8NLPJ3D1+9twIsf3wtaVMtX9YdcfSpDjc8eQZJo7XmuMy8H1PePw2/HLxU3V2ecjP7o1opQIaC7w0HYR6BanpII7o/kJhfmjMmojt8xCO3YdjbAmJedkksMeCNK0Uqx/aBim9o2n5/00rQyv39gd/5nagzqy1IdwmRAf3NqbFpRVCvVEmP90Zh+MqKMzPpAQi/tNJ/PpHPLJ1gysP5qHx789jBs+/turuFtJXcVl5P/K82MBdqicO5+c0Mn7mJhPxXVv9vokSiAvhJxlyO9Ix2gFhrXX0j/Jz4zmJ1TmEKPOjMLcMhTn6+i9b0Mg9x4KqQjSALlO9dbG4OcbZmF8Yhq0Yim6hUfi03GT8UDPQVAI6/c9jxIr8b+hszEpvjt4YRXXm50U0Vg87A60k9dvPSwQwvryjN2YuvUzrDi/B7/kHMNDe1bhrp1LkWf2bu/O43AQLvVdRKMSi+hjGL7hcniQ8y67iLodUryyeit2nr7k8bi/T1/C62v/hEBasXZIhHV3M1vDL1iwADt27KBrU2QNavv27Thw4ECd/4asl9nt3rWy5cuX4/nnn8err76KkydP4rXXXsO///1vLFmyhI5/8MEHMJlMVEMmQvorC1+EXqfDJx99fMUYgEcffZQWA5D36U+Cqsg89thj1AO/LkiVQyU5OTkYPXo0hgwZgs8///yKz0+6fMjWWikpNGDL+kP4YfFf0JWY0LVfCuY+NgGJaVEQttA8OyJ+EyF8+OD21IJVLiOfQcPeK+lwH9gvlXaqk4wILo8DtUpKCwVaAsR+/OMfdyDXS5b3G9/8gQEdEyEV1Z7A1TIxhndLxbajtSu2xEI+0vyU/xJKaFUyfPzQjXhj5R/4++QFakOmlIpw73WD6WLjsQve7S5FQh64LWyyNjmNMDkNNDtFzJVCyVczS94WRmufQ6igbl4OmFcD5RZAOAqQPwxwkxBWreqxJaEURGBE5BT01YyltkdSroJeSDYEtVCCG5N7YGhUKmwuBxXctUIZ/bMlUGI04+nVG6G3ehb8ON1uPLZiPdY9cjti1bU7G1RKCRISNMjMrC1wxkQroVKxqv8rERWlwPvvzsCb72zAqVO5dF9EhBwP3j8Ou/dkVGXZ18SbYwOxgifCOamw9QbZTypkCwuv7EpDOsQJ4eHhVJiv5JVXXqHXyiTDvZL+/fvTP4n1PBHcz58/X9WNQCyvSJc7EcorH0cWIoigTrrWSd4VuY4+ffo0NmzYQK3gyb633nqLCu3ENuuvv/6iYj8R1yvPf2+//TbtvCfVv0ToZ7SNOYR0Qn+65Rx+PJxDf76+ZyzuGZVW7w6+YEAEdiKM3zk8lRa0hkuF4DZwwZ903d8zIhVTesfRRW1iBx8lF/nVuaUhEPt2kpNeM7uXdA0+sPIAvr17MCK9CJ7JEVIoRLyqvPXqDG8fQfNQGXVDCja+mT8IT6w5Qm3fKwU5IsC993u6zzxliaBlXH94YMgDLGUAWZQSawApuw9tSbT2+cPpcuNCsRnvbjqNP04VUPH1tgFJmDkoETGqllHoWhMel4NUrQwv39AVerOTzh0R8oZ/BqSY6+mJnTBvWCq9tif/d2/n5GBRqLfhsdWH6TqKx36DDS/8eBz/vbW314IGYptPpkFvBim3DUygzi+MuukYLaeROc+tPYbcfyziiS3661O645FVh3z+O29FXcGErPOSaxGD1Qk+j0Mt3SsLEhktg9Y+hxDnuEvp+Vj05noc35sBpUaGKfNGYNR1vaGJvHJUYDAQ8/noGh6F90ddC6PDDgGXB42o4fNdnESFhT2vw0Odx8JV7oaMJ4BG2DKaDAmkQ/2j01tq7T9nKMTSjF14pPNY8Lme63dkLX5G35747shxr89558B+dYrvjAqERDdAJAzOIujNnFrCenWB3Tap2j1JM97CEqGaiN4rVqygzReVduyxsbFeH+9yuWiDx5EjR6rWkcgaWkVOvI124C9cuBDvvPMObQCpdHUkdvKfffYZZs+eTV0aly1bRp0iyZrW+++/T9euiMPilSBd8IQLF/zrZhzU1XWymFi5oHglSMc6WRDs27cv/eB8ZUaGCmUlRrz/3HfYu+101b5DO8/ikWnn8NbSu9GlTxJaMqRrvVmeoxmep7kpM1qwaX+61zFyk7Lr1EUkRdW2cpGJhXhi2iiczytGZqHOoxPi/+6dDK2y5f1fWyJxEUq8duc1KDWYYXe4IBMLoFXK8PPuEz7/za2jetMChmDjcJvgcJVB73RiVeZiZJgqnDmIsH5j3Gx0lHeHmMcuKhhNh3arl84DnNXOVbaNKLdvRVj4DwDvcuFaS4MTxoWc37QIEFKpHC2p6FxvaZSaLTiV611wJVlTmSU6r+K6RiPDC89PwYLHV0Cnu+xkI5eL8NKLNyE8vOXcdLVUyPciOVmL11+5GXq9hS7+ymUiKJViHD3qu6JfLvd9Y+yvDCsibpOi0sqbFoLL6aIbWdQ6evQYFdXJjQwR0Mn/jQjlxA6LVPxWiuvEFovchFQSFRUFLpfrcR1N9pHXIxD7d5JPRYT+6lgsFtoFz2gbZJWacdMnf3vYWa/Yc4l2u/1wn/+y05sDcl0dpWiamMnlcqi9b0uEfCbExt0bF4vNdMybkBMlF+J/d/THrP/thtVxecElXi3Gq1O6B6w7tDUj4FZYw6+aPwhlFgc9/xNHADGfWDV6X7kiAl2vBN85nAHFVFQhqJeeB9Y/BpRdrNgf0wuY/BEQ2YVUkwX7XTJCgIslZlz3379olzSBnHM+2nIWv5/Kw5I5A/1q8d5UxHwexEpek+chf0ahNIXDWWVw+ogQ2ZZeiFKz3et8QBxhiPD+4MqDHgI7yZm/a3gqcz+pB1Ihj0bmdItVQmd10G5/MoeQ6/jK35WaqCR8WvTXIjDkQWd144+LDry68bJd/bB2EXh1SjckhbP1TEbzcPZYFp6c/jG95yUU5enwxas/4dDf6Vjw5nSoWvC6h0wgpFtTkPAEdGuJrM8+6nPs24sHcHvaYESJa69lJaqVeGzUULyzZYfH/qs6tsOINN/RfQzPdVIxVwEhR4J8a90NHMRRWQouhKTRsBkLtIhTosPhwIABA6r2KZVKdOzY0eNxxNadWL2TbnWy9kQs4++8+y7Y3Q443Fa43HYU2S7BbDLTNaZ58+Z5uJM7nU76vJUMHjwYjz/+OF5++WU89dRTGDZsWL3eb+Vanb9d9Fpm65oXYZ3495NcSNI9U70LqHqHTyhRmFPmIaxXQiaXj19Zh1e/nEurtxiBx13uplXIvjBZ7HUKw18smIaMnGIcyshBXLgSfdrHIUolC4jtcqggFwvpVp0hXZPRt3089qdneewf07sdOiUG30LH6izAyZI3oRZfhy8vrITBebnAQucoxVcX3sf97Z5FB3m3oL5PRojgOOIprFdSbkG54SNA+TLCOC1XHAlliKBbFxa779zblGQtPvt4Ds6cyUX6uQKkpWjRsWMMIltoBXdLRamU0K06U28agF27zyEr29O+V6mUgu8lg5PYs5OLdCJkT5kypdY42a9Wq2kRKXlcTRGe3JTURU2reYfNgbwLhbAYKgorSnNLqcWX0+GCu9xFxXKSm16TmvvIe/G2r9JqjwjrJDtry5baFelEuGeEPsQJaN3BbK850WTfj4dycPfItAZ3hDOaB1/d0ZX4Ek1IV2bvBBU2PToSey+U4GKxiQrFHaLkiFG2TBGopUK6WWt2tL40uStu/nQnimsUPrxxY3dEtgRhpPA08NMjwNCHgG9uA8qrfY9yDwFfTQTu2Q6o2QIno+l53u9vOuNVLDydZ6TW1y1ZXA91jLba7iWVkEtVcg3gDbGAhzGdo/DHY6Pw19kiFBlsNB4iOUICrY/IJYZ3opQiulXnw9t649bPd3v83vC5Yfjw1j7Bj99wOoDcg8CW/2BPxxfw6Pee3ZLk+3Dr57vw3b1DWqwzBaP1UFZsxMcLf6gS1quz989TKMwpbdHieqijt/uOK7a6HHDD+xyiEIlwW5+eGNehHbadOw+L04kRqcmIVcqhkbB1yfpC1m24YXzIxXXPC8RNmWtxIzpGBV4Qor9mzJiBZ599lq5pRUZHweJ2otBmgoLvhs1trvqWmIxm+ue7H7+B0UOv8siVJ6J8JWStiljRk31nz56t9/sga3KV3fBo6+I68cYnB49s8fHxAekYCjaHdvvuDjp3Mhcmo42J60FCJhKiS1IUTlz0nqs3qHPdrgKRKhndBnVp2e4DrQ3Svf76vIlIzy7G2h1HaXXWTcN70Jz2cEVwq2gdLj2OFb0Ek/MCLGEjPIT16qzLXoF7056GjM+EMkbjKS93o9zys+8H2P8EykmsBbuIDQZKiQgRMgmK/rmQrA4pqEzVaur890RIJ9uwYZ7VoYymQY7pO2/diuMncvDHnycQHSWjbgGkq91btS/p7B4/fjytyiVZTtXFcJJnTrKjbr/9dnoDRAR2kqVe3VLebL78+QsEgirbrEpItznpOif278OHDkd2ei7s1suCfGpyGrJzsnH66Gl07N6B3nAQu62ysjLawd5YSL46ef88Ho++PqPtobc4sOGY95gdwvqjubh1QCLUzEY8KJBFdrLg7nDVvgeWC3nUntUXRGAn1vlkYzQvxE563QNDse1MEbacLqCOALf0T0CcWkJFqaBSllkhnne7Cdj7paewXolNDxxfCwx9uOJihMFoJKQj98/Tvjuq1h7MwthOkS0maqOt0SfRtztYaoSU5tz7gljck4gRsjGaF9LNvvGR4fjlaB72XypFlxgFbugdiziVOPjFjLpLwJJJKBz7Pl7fVuz1ITk6K47n6pm4zmgyFqMVGScrIqm8cXjnObTvXhGJxgg8E+K6YvXF/V7HhkW2g5znu6BULhLSLS2i7vUuxpXRyCUY0jEJf5/+x4WqGkM6JtIce3WkxGuTSFMg0d2kUYPEECYmJtJ9Op0OZ86cwYgRI6oeR7rOSTMKweK0I9NUgkSpEibn5TUxgjYqAtExkbQjft7tyeBzvBcNkBjDU6dOYevWrZgwYQJ1NJ8zZ84V3y+xkCf28ePGjQPaurhOctmvlM0eakhlvqtQOFxOs9o6MBqGSibGU7eMxry3V9fqYB/WLRnRmpZpRdwWiFDK6DagUwKNFWkp8RE2VzEKLFsQKRmFM2bf1sPZlgtwlNfdzchgXImwMA7KOXUUaISRBRG2oBUsIuUyPHv9GDy6onYBxOxhfaGRsYr/YKHVKjBqpALDh3WA3W6j2Ux1XW99+OGHGDJkCL3AJ/nopCL2+PHjeOKJJxAXF4dXX32VPm7MmDH0scTOigjoxMqqevd4ZGQkFec3btxIi0hFImJVr8QLL7yAe+65B2qlGt3TesFkNuLA4QOYdcvtGDJgKDqkdcC8u+fhvx9+ALvTTu22SBZVv379Gn0MyI0HeZ833HAD3nzzTXTo0IHa069fv5526DfluRmtA7KIW1dGtEzIA4/L5pBgESET4OGx7fH2b2dqjT07qXPLsY9tg5C4hNsGJmJav3hayNBiyNwNmIuBiPbAibW+H3d+GzDwboDPrkMYjYeDijnEV4e0UiJgwnoQIU4aU3rF4odDnuIVqal5+YZubA4JEmTOILbq94xKoy5nLWYOIYW/B5cBThus8iRkFJX5fOi+CyUY1zkqoG+PEXoQvYNsxKHNG1LmlBFU0uRa9FLH41Cpp2OskMPDo13GQcZnTiaBath54ZbxeGHVJg+BnQjuZH+U2j+6FGkAITnoZL1Lo9HQdayFCxdS7cWb9brL7UaB1UA71ckoyVqvyWPPPYR/P/4KotSxuO7aG2Cz2bBv3z6UlpZiwYIFOHjwIJ5//nmsWbMGQ4cOxbvvvouHH36YrnsRsb8S0mRCmkTIvydiP8lsX7t2Lb7++mu/OzC2kBmbUZOeg9J8ZgIMn9ANyhacddgW6BCnxdKnb8WwrskQCXiI0chpnvrzM6+iFUSM4MLlcFqMsE5wuCs61e2uUmgEvk/qJHudE9Zy3jej9RImnuZ7UHIbwIkI5NthVIN06gxpn4gl829Gr8QYiPg82q3+5i0TMW9EP+qOwgguRFCvTy5T+/bt6YU/uaifNm0a0tLSMH/+fIwePRo7d+6kNxyEd955h+ajDx8+HLfddhvNi5JUsz8jXeIffPABvQEgGeqTJ0+m+8mNC6m2/ezzzzDplom4+9H5uJh5gY6R9/fxO59BIVdg3FXjMGnSJCrur1ixokn/d/K8GzZsoJXHpBqYiOvTp0/HxYsXaTY7I/QhWavzhl2+Ua3JvGEpdXa2MfyLRMDDjIFJ+HRmX3SMkkPE56B7nBJL5w3ANd1iwG8pC/JtmBYjilQX1ysz1xVxvh+nSQW4LTPjk9F6IJEJswb5duib3p91HAYT4jrzr2u74LUp3ZCokdBu9CFp4Vh731D0TmTxPy2BFjWHOK1A1l76V57DQDPgfZHMMtcZzYBCLcWwid193qf2HFzRDcsIDlqRHO/1n4ZHOo+lf5dwBbgqpjO+HXU3kmWsIz2QRKvl+M/t12Dd07Ox/JHp9E/yM9nvT4i4TZoxyPoTacwYOnQoOnfuTBtEakJiAkhcQAXe19dmzJmGtz9+FUu/Xo7u3btT0Xzx4sV0bctqtWLmzJm04fq6666jj69cb5s1a5aH8yNZuyLxhp06dcK9994LmUyGPXv20PU3fxNWHqq+6l7Q6/W0E4hYFhBbgJaMxWzHtl+O4P3nvvPYHxmrwn+W3IXoeHbSagkYLTaYrHba5UOsx+uzGM9oexjsZ7E9+wY6mXTRfon/S/8v3KidQzc1fg6GRYxvUd+j1nTe9Det6ViUu8pQbv4CMH3hOcDrjjD1RwjjRgfrrTGqUWa2wOpwUjEkXMYsFlsS5EL+/Pnz9KLe241CIDHrLcg6490ej8wXiV3i4EZFdb9QKAx4cVldx6o1nTf9TWs6FiRb/d9rj2HjcU97+Ildo/ES62xrMRQbbTSDXcjj1mkHz2jj7F0ErH+0Qjwf8hDw8yO1H0PuPe75G4hqfKxIWz9v+pPWdhzydFbM/3ovjmSTGKrL3DsyFXePSIOKna9azFxPnBhJ0ZZSzIrmGF4gosgvTwH7/gdXyhh8Gvkc3tpaOzpIyONg06MjkNiCBPbWdt70J63tWORlFuOp2z5FQXapx/5H/zMNw6/tCbGENSMEG1e5G8VWI+1DlvGEkPLZZ9Ja15qaislkoq6NpKFk3rx5tTrXL5lKYHLZES6QQMi1wOY21noOThgXEYIEcDn8VrmO1Sps4dsiYokAw6/ujk49E/DHT4dQmFuGQWM6o3PPRGhjAldRanTYYbTbwCGZoWImHtdEJhbSLdQgJ0BiRyXgcVuU0NtaEXA1UAq6QWc/hnzDYsxOmovlmV/D7rZVPWagZiR6qQay481oFsK4KkByFyC6FuWW7wG3AWHiSQCvI8K4kQE7yuVuPVBOsqV5COOybvmaqCShab1KFupcRPDhs8vM5oAv4oPL58LlqF2UpYiQV3ps+bTjYjAaCrEWf2VKN9w5PAXf7s+iX7GpfeNpzmqELHDXvSUmO2xOF0Q8Lst490J4AD+LQOJwuUHK/wW8FtS915ppN6bC6r0kA7DqgP53UqGEHmQC6Vaf/DGgqshOZDCaSrRShC9m98fpPAPWHcqmjihT+8QjTi2GShK4QqAio42eT6QCHn0PDE9CNUbE4SS9cmwOaRa4fGDAncD+ReBe+BPTet2NE13UWH+i1CMu6MvZ/VjeOqPZiE4Ix9ur78fJgxex6/fjiIxVY8zkPoiIUQVMWHcT8dhmgru8nOaIS5h47AE3jINIccsv1GgMdrcDHHDA4zRvXnmoQGzaSf75gAEDqPD80ksv0f2V7os1XYWJw4HJVIxSuxlJUjXccMLhtnoI6xpBXMCF9eaErXq2YCRSIZLaRWHOoxMC/tp2lwsX9KV49+Bf2JFzAUqhGHO79MWklE6IlMgC/n4YgcFssyOnSI81248gq7AM/TsmYlyf9ojRKFg2WhMQcjXoHfkO9hc8hGLrdqjKrbgvdS70TtK/zkecOAVynhISXsup9GWEiMDOVSGMH/gupHK3GXCmo9z4DuA4CnCiAdm9gGAowrjhAX8/jMCgM1txsbgM3+w6jGKjGVd1a08t8GNUoXnjFSj4Ah7iO8QiOz0XTvvlDFOpSgJVlBLuchcV1kmOOxPXGc0FEdHJ1i858G5ZZWY7DmWW4e3fTuN8oQmpWhken9ABPeNVARVmGIGFCGHp+QYs3XkRVqcbN/eNR+9ENRXqGE1AEQ/MWgd8Mx34fSHQbx5w27eAIQ+QhANRXQFZFKnkYoeZ0WxEKUR0G9FBGxRXj23pRfjwj7PI11vRI16JJ6/uhA6RMkiEbAk0VCGf9ZHMMnyzLxM8ThhmDkpCp2hFyBYRBAxVMnDzEmDtvdCum4FXh/4bjwwcj9MGAVQKJVK0Mvq73qLs7BmtHtJUSLYR1/QM+GsXWg34JfsYlp7bDb3DgsHaVDzQaTSSZBrwOWwOCVWKbKU4pjuNHUX7IeNJcHX0SMSII6HgMw2sJm+//TZOnz4NgUCAvn37Yvv27YiI8N5MJebyES1SIN+qx0VTGaLFKij5ZL5wgRvGAy+M36qFdQKzhWd45XhxPqb8vAx2t2eX1PDYZLw34lpEiJtXBDSYrTDbHLSqJVwhYYvDQcBmd+CPQ+fw3OJfqhoZCDKRAP97fBraxwX+xjjUsDmLYXMV0U3I00LIJZsaLZnWZiHlT9ixqD/l1q0oL5tf0U5bHfEshMkfRhineb9LpTYzbC4neBwOIkTs4jcY6C1WfP3XQXzyxy6P/dFKGZbMn4Z4jRKtiZZo1UWEdafDCZfTDZ6ABy6PgzBOGL1mqtyCAbOFrx9sDqkfNocLK/dewgs/nqg19vLkrrilfwJ1VmpOigw2ONzEXp0DjZQtwgdLWH/xp+P46XCux/6usQr8b3Y/RCtD0+klYJB7eiKm63MAuwFQJwOSSKCFXzOx8yY7Dg1FZ3HgrV9PYdmuSx77ySXS4jsGYGTH5l3TICmbhUYbXO5y1iEfZGH93mX7ceBSmcf+cZ0j8dqN3REpbxnX8q0Wl71iDtFlAW4noEoCpJGAoOXOzWz+YMeiMRRZjXhy/3fYXXTeY7+Aw8M3I+5ER2V0s7vGFlpMdNVMISD26qyIOBgUWoux8Pj7yLcVe+y/PmYsboy/GnK+NOTXmvztBOF0u6nGSFas+BwudQYgLtnBhNnCM/xGmc2Kl/b8UUtYJ2zPuYBLhrJmE9eJoJuRV4IP1/6Fg+dyoJFLcPv4fhjTqx0ilKHXxUsmznyDERdLylBsMqO9NhyRcinUEkmw3xqK9Ga8sPQ3D2GdYLTa8cLXm/DRg1OgkrXci+fWgJAXTjegY7DfCoPhN8pd+SjXL6wtrBMsSwHpTKCZxHWD3YpjpXl468ifOKMrRLxUiQe7DsfgqGRohME/rzY3DocLxcVGXLxUBLPZjrS0SKhVUshbwIJRgd5YS1gn5OmM+Pj3nfj3lLEQ81t3RWqwIYI62RiMUKbAYMMbv5zyOvbahlMY3SkS8ermOb+XmGzYea4Y7/+ejqxSCzpEyfDU1Z3QPU4JeQhaCJvtTpqxeyrPQK/3O8fIqTuBtAV0cp7JM9QS1gnHc/T48XAO7hyWyly0mgKxtlTGVWwMRghDznE1hXUCOec9u/Yovrt3CO2ybZ7XsuLXY/n4bPs5FBns6JesxpMTOqFdlAxifujZyeqtDuoKcCJHT/9/HaLktCtc2AL+r7+fzK8lrFfsL8BtWTqM6Rz8e6VWDYkPIdEhLD6EEeKQfOiawjrB7nbireO/4t1+06BopqKSPJMBq08fxdKTh2By2jEmIQ2P9BmCZIWaNo2EGgaHEaUOPS6ZcqhYHSuOgkagBDcsuHOIw+3E2pzfawnrhB9zN2OEdkCzi+ttDU4YBwIu2YJ/z+kPQvN/xWgSRocNu/MyfY5vvnQOfSKb58b8xKUCzH/vW1rpS8gp1uONb/7AntOX8OxtY6GWSUJKWD+WW4C7VnwPnfVy1vbwtGS8dt14RMqD2zlwNqcIDmftggrCyUv5KDNamLjOYDCujNsAuHN8jztOAryUZjmn/pF7Fgt2raval64vwkM7f8D9XYbi7k6DIQ2hbCybzYH9By7g5VfXwWa7bA0+6dpemDN7ONTq4F7wbz5+zufYhiOn8eBVQyBWhZ5YxWAwmpdikw1Wh9vrmIUUGBntzSKum21OLN5xAR/8cbZq3+EsHW77cjfem9YT1/eMBTeELE71Fge+P5iNl38+UXXfxQkDLSYgbgDBtNu3O91Yuuuiz/Hluy9hSu84aFtAIRmDwWjZHM/R+RwjRVTkXNgc4nqJyY7n1x3HL8fyqvZtTy/CjrN/YdX8weifEvhIFX9CRPWP/jyLRTsuVO0jbi/vTutJi94kQSz+JIVyy+qYQxb/fQGD0sKD+h4ZDEbr4M887wW+hJ2F52F02ppFXM83GXHnph9wtCi/at9PGafw+6Vz+PmGWWinCq0oxVK7Dl9kfIPdJYer9km4Ivyr831oL0sJar653mHAnwU7fY5vL9qHFFlCQN8To3UROisGQcJFLHFCDA7CIKjjxCYTNM/iS4nBTIX0ygWe6vxx8CwKSk0IJfL0RsxZ9p2HsE7Yfu4Cvvx7H2xOz+8SEbrzS43ILzXAVOPf+AO7o+7vsrtmSzuDwWB440qVp2HNUzRVYDXgpQO/eR379OTfKLaZEUoUFBrw/AvfewjrhJ/XH8LO3bWFbZvFhsKsYrqRv/sbax1zCLGAYlMIg4Fmt6J1uLyL0K2ZK3Vq8LjNYx9HbHw/2uK9KOjFn08g3+D/82YgOVdoxAs/Hve47yJ//X/2zgM8qqJtw8/23tJ7g9BDL9KR3hS7IiooiNgQsXfFz0/97L3+dhQVRbAAoiJFQOm9t4T0ujXb979mYsomuyFle+a+riPZmZOzx7ObM2fmed/nfXb1ERwt0jf9BYse0ObX2Ig7bH49NxdcXgMq6KnYnPRcGQyG73A6XfT5LNKQCpufh/iqLnShttpNWK+F3KseW3mAitGRxJaT5W7COsFid+KOr3Yjv7K6yf5VJisKqqpRrDV7XO/zJeRrTIK0vGF1OOk+DAbDd5BEB7JFGnK+9+QMYg3vKxvrQxUlbsJ6LdV2G17euRlGmxWRgt3pwJqijW7COsHkMGPJoTdQbq1s8juVOhOKy/UoqzT4/fzICGV3eV/LMjsiazxn+B4mrrcBh8uBMksx1hWtxEenX8VPBV+j2FwAm9O/Cw+BQiOW4JKs7l77J6Rl++R9DNUWHM8v89q/87j37Plw5FBRCYxWzwPk17v2U5v4Wooq9Xhr1V+48unPcNGjH+HRj9fgZEE57A7PmeW+oGtqHK1F5omUGBUU0sjJAGUwgo3dbofFYoHJZKL/ktcRA1cNCPp46RQB/M4+eZtKSzWqrE0XcwgOlwu5hqbWgOHM+vWH6UKoJ778cgsqKuonHoWnivHGHf+HOV0W0u312z5EwcmmC4C+5MIenbz2De2cBoWYjSEMhq9sWYklK1m8J/VFv96ei/zKyAkmipYLEafwfL9IUIoRLfNNkC/JYPS24F9lslFhIFKottnx/sZTXvvf/vMEDJZ/57EOO1ByBFhxC/Bab+CtIcBvT9bUWfUTIj4PVwzw7oo2rXciNFLmfMJg+AKScb3zbCXuW74Pty/dhdX7C1Gk9fw8HY50S1BS61FPENt2X91L/jld4bWPlN7QmyNnbkcCBd5s4PLSEBI8+82O+vGh2mrH3rwq3PL5Dox4/g9Me2MT3t94EiU6s9/OTy0VYHrvJK/9l/dPgVzMstYZDF9QpjNi69GzePDz1XQjP5O2SGFconctZEZqH6iFvkkUWXXysNe+33NPQWeNHEG3yqbFL4XrPfZZnTYc1dXPUfRGM/7edwZ3/Xc5Lr3zfcx/4iv8uH4/Fdv9hYwvwUBNb6/9I2IG+O29GZEBe8JoA/mmM3jjxNOwOmtudgd0O/F78Y+4pdN9yFb0Cnq9iPYi4QuwsO9wbC3KQ57B3VbrwYGjESf1jfUsj8ulUV/eMqJl4uDZE/qD/Cqd1z6z3Q7rv5bsJVV63PHG9zhVWD9h27DvFP4+nIulD81CZqJ/LMZIvfvrxw/AZ+t2urWTz+jha8chVhVc23oGI1KwWq3Iz8+H0Vg/CZHJZEhOTobQR84gwYTD1QCqZ+EqvxZwNRS4ueCoXgR4sT55n/NZR0n4kfWIk5vXtAZULaVletj/zWAtOlOChcMeQVVJ/fj966d/4p/Vu/HGtv8iISPOL+eXrFHiwm5ZWH/EXcARC/i4b+poKCRMXGcw2ovRYseKXfl4YtVBt3qiRIz+dsFQpEeHfz04IqC/Nas/rvvwb5oV19B+9q1r+/msVq5YcJ4M+QiqdUgyv/OrvItnBVVmuo+c3KYrTgIfjAFs/+5v0QFb3wSO/wrcsBJQehcw2sOAdA2tAX+40D2LngRTzBmWASE/vOfXDEYoUGm04rXfjuHTrfUW2msPFqNLvByf3jgYiWrf1JENJqQG+CtX98UdX+1yc00iovqzl+b4rASGXOR9nkFKbvDIfyIEm8OFombE8dNlBuqkI+BxcSBfh6vf31rnNlJmsOL5NUex9WQ5Xr66L2LoQONbiBvBlQNTsGx7Lop17oJUp1gZRnSO8fl7MhgdkVKdEU8s+xWbD9e7WKzdcwzDuqbj6WsnIlYZ/mvG8WIFFnUfh1cP/+7WnirVYH6XkRDzfBOgpRJ6n89IBQJEzghCssIdNEvdG4WWUvovcULYvOsUlry9ur6vVIf/vv8rrprcDzdfORxyPyT9SXhiXJt2MfZWHYb5X52vlhxVN1obnsFojshZNQgQOlsVPj3zRp2wXosTDnxy5g3obE3tLMKRFIUKX0+diddHX4RJ6dm4vls//HLxbMzs0gfKZgaB1qCWiTGqd5bHPiLo9u+cgkiiZ6J3QSNOLoNEUDNBO3Cm2E1Yb2i5++5PW2Ay+yeTRi4RYc7EgXjplovQPS0O0UopRuVk4YsHr0WfLP8spDEYHQ2Sod5YWCeQ16Q9YjLYeZ3AiVkBjuJJQDQRkM4HJ/pnQDQKHI5vHoijRFJ0VnpeLFEIREiUKBFJDByQ4bWvS3Y8xCIBHA4H/li6yU1Yr4W0/fbFRrqPP4iWS/HEZeOx5PIJ6BQXhRi5FDP6dcfyO2chK1bjl/dkMDoaJXoLnvzxoMf2//5yBMba7OMwhsPhoG+KGr/ePQr3TeqKST3j8cCkrvR1n1Q17fcFCSoJlBLP4kjnODmifJQhHwrIRDwMyvB+Hx6YroGMCEVWI/Dnc/XCekPKjgH57gG4voR8Hh/NGYSHpnRDapQE8UoR5o7IwA+3D0dqlG+yhBiMjs7ZCqObsF7LsWIDlm3PqwvUDGfEAh4u7BaLdXePwi2jszCpZwKeuaQXfrxzBLLjFT57n0EZUVRE98T47vE0mzqSrPZ7p6i89hPxmgjrJMP98VUHPJbx2Hi8DAUe7ON9RYpGiu9uHYYFo7NokF6KRoJ7JnTB53OHRETQCIMRCuw+le8mrNey5ehZ7DpZgEhAIZTgqoyBWD76FlyTMRDjE7vjxQFX4JMRc5AkVfvsfS7v0tNr36xufRAjiZxnXyFXgHiR9xryXRU1uhCxgH/t8z897vPt2t1+zV5PlMThhT4PYVzcMKgFSiSJ43Bz1jW4K3s21MLIWldk+J7ISusKAAa7DmXWpnUxCNUOI6psFdAIAxMZaTJZUFllgk5vhlgsgEYlgVrtu4yVJJkSF2cpMT2jK7h+yN6QSURYfPkoHDpbjJIq9zoaj143HjGqyBlMCOlRamTFROFUWVPh/O4LhyNOIaf1M3/dcdTrMf46eAb6agukfsrqV8uluLBvZ/TrnEwz6WUiAf2cGAyGbyDCZmNhvRbSTvr5Acq4rrYbYLBrYXaaIOZKIeOrIOX7JtqYih+8ZEB2LSC9Ghw/OLrEiGV45YJLMHP95zDY6gPeBFwu3hx2OeIk4R853ZC+fdOhVktRVdV0UjH/5guhVEqgK9dj84p/vB5j8/d/46IFk6CK8d3iYkNiFTJcPrAXxnTLgsPhpOVEJILIWVxkMILNlhNlbpl4DVl3qAgVxu702S0QkEX0cqMVJqsdaokQMQoh5D56bwGfS7Pwb7+wM81iIG5XviZeIcLb1w7AjZ/8Q7PyGmYjvnZNX8R4saYPRwQ8Hq67IB1fbMt1cwMgEPvkuSMzqSAFnRY48Zv3A+3/Fug6DfBTVn+iSoKbR2bh0v7J9HtOMk1ZxjqD4TuW/eO97N6Xf+di5uA0JKh8k0hxPohNOBlDSK1sEswUIxdCIvTNHEgq5KNznAIPTenutzGEZMg/d3lv3L98n1s7EXYfmdYdCnHkPP8qJQLcO7ErNnt4BiFBauO612T1GSz2Ju4jDfnrZBl6p/pOnPIksN8zsQtuHJ5Jsz6J8wnPS4kABoPROsg69Jeb9njtX7ppN4Z2TYNS6v8xhJTKK9UZUGEgJZ6ciJJLEauS0eddX6ASSuj2mHo6nC4nuBzf30dSFSrc1mcw3t7rvnbTTRODWd36ntelMZyIEqpxffqlePHYh0364kUxSJUk0p/1Bgu0es9BWGTsySusRGqCf5I2eBwukiRxmJd1Fa6xTwcXXCaq+4knn3wSP/zwA/bs8X4/CTeYuN5KnK7mM74czsBkHZZXGPDRF5vxy6/762qwZneKx1MPXYzkJN/ebPwhrNeSEqvGJ/ddjV3H87Fx/ykkRikw/YKeSIhSQCKKnIwRAhHPP5x5KZ5Zux5/HDsF8qmpJWIsunAYLuySVZeJo5J5fxghVvkkq9/fqOUsupfB8Afnyxr2V1ZxY7TWcvxw7h0cM+yqa8uW98WlKbdB5eMAMX8I67V0U8fhp4nz8GfhCfxdchbdNfGYltoDSVJlRE1ICAnxKrz60iy8+PIvOHAwn7bFxiqw8I4J6JRV44zCE/AgUTQzhiil4J3HCtlXWeyM4LNx40a88MIL2LlzJwoLC7FixQpccsklzf7On3/+icWLF+PgwYNITU3Fo48+ijlz5gTsnBnNY7J5HyPIdMBbqSVfk1tuxO1f7sb+/BqXDJK9R2qakkzzOB/ZttfiD1Gk1kZ2cKYGv949Gj/tK8DhQh2GZEZjbLc4JEdglluqRopvbhmK+5bvpVmqhE6xcjx/eQ7SajPDyeKhSF5jBe8JSbTfhPVauFwO4poZxxgMRtsgQfyktIg3qm0OuOgKhf/P42iRHgu+2Ikz5aa6IJ9bx3TC7GHpiJKJwmIMIW4fU3MS0TdVje92nqOlN8Z1j6PjSFIEjiHZcXJ8MmcQHvnhAM79m4HeL02N5y7rTbPECcQKn8/lwO4pdZ2uffl/fY+Ia/HKyJoDMhihABGxiZuqNyw2OxwBmIeQJLB9Zwpx/+e/1NV6l4oEeODSMRjfO9vnpej8IawT1CIJbuk9GFMzu+Lro/tRZTHjkk490CsmDgky/yRCBJMcVVfc0fl6fHZ2BXQ2AzjgoI+qO+Z3ugbRopqgKz6/+WstCUDQmpArRFQElOoMJmPGjMGGDRvozyKRCFlZWbjjjjtw2223+e09vTnbffXVV7jmmmvgb5i43kpkfAWkPBlMjqaZh6TWeiCy1q1WO75ZsQM/rXGPkj1+shj3PfYtXv/ftYiJDp+MvYQoJaYOUWLyoG50QSWSSVYr8fyMyag0VdM66wqRCHEKmduk75JhvfDtRvfPtparx/RFlDLwokW5zoRzpZVYv/ckJCIBxvXNRpxGHpCoRAYjkuCdJ5r2fP2+ylhvLKwTjhv24Ptzb+HqtMWQ8sPjgZ4EG6XK1bg+eyBmdR4QkOCjYJKWFo3/LLkCWl017HYHFHIxYhpkoRPx/Iq7p2PfhkMef//yu6dDrgp8TeYSnQHHi8rx17EziFXKcGH3TohTySDtQBMXfaUBlcVaGLUmyNVSqONUUGj8+6xG3DD69OmDm266CZdddtl59z99+jSmTZuGBQsWYOnSpfj9998xb948JCYmYtKkSX49V0bLGNbJu6VeTrIKCjE/INmGcz7ejlNl9XMhso7+7c5z9P3vn9ytJgs6DCBZ0ZkxMtw5NpsGK0fyPIQEExBb/S/nXYCqahsV0YjQQbIv65DFAoPnA7896fkgA25AMCioqsbec1XYfrqCBgSMzI6hWe7E4YDBYLR84fGy/in4cV+hx/6JPQJjZU7+nq9+fxu01fVlTKwOJ177/TiS1GJcNTDVZ+U//A1xOukSr8BDU7vToIFwOe+2IBXxMbprHLVeJ58dEdFJ/fqGJVSipEJM652IlXua2kOT4XVoM88w/sLhdNHv3LZT5TSIrk+KGgMyNDSILpI/LwbD1yglYkzp1xWH8jw7+U7u1xUqif/XhwsrdLjl3e9ha5CUYrLY8MSydUiNUWNgp/ApL0sEdrLlxCRE/BgiF8gwKnYIrWFuclRDwOFDKVBAxq8PRlMpJOiSEYdjZ0qa/r5UhMRY7+VJ/IXFYUehUY8/804jV1eFYUlp6BkTj8QQCYDQVptRbjJBb7ZAIRYhWioNyN/h+bj55puxZMkSmEwmfPbZZ7j99tuh0Wgwc+ZMv73nxx9/jMmTJ7u1qdX+c8tpCBPXW4lSoMEVKTfis7NvNumbknAF5Hz/12KoqDRixU/uokgt+YVVKCrWhpW4XkskL2g1hNzwyOaNpBgVbp46BB/88rdbe05mAqZf0MNv0dfeKNMa8fina7HtcH19tvd+2ob50y7AzAv7NZtpz2AwmornMpnMozU8aQ+EuG60a5sI67WcMOyl/eEirjck0oX1Woj9O9m80W1INsZcPQx/fr3FrX30VUPR/YJsBJrCKh0WfPIDThSX17W9tGYTnrtqCsb16ASJMHJsM71RmleGl+a9i53r9ta1DZzYB4s/WIDYVP8FZU6ZMoVuLeXdd99FZmYmXnrpJfq6e/fu2Lx5M1555RUmrocIiSoxpuUk4Of9RW7tZJH76Rk9fZ7x5wmSnddQWG/I0r9zqR1rONbI7ijzEGJ379Xynji+9L4GOPILcK5RiZFR9wHqdASaU6UGXPP+NpTo68u/iPhcfHrTYForngQNMBiMltEjSYneyUrsy3d3p1CI+LhzXGdIBP5fHtyVW+UmrDfklXXHMaZrHOJ97IASCCJZFGkI+Wy8fT5EgCcONrtzq5BbUV/GilyaF67o4x7MFQCIWHWwQIuZ72+D0VovxKkkAnw9/wJ0S2R1dBmM1jwnT+ybjaUbd6Ooyr38Q7xajsn9uvj9WZoEwq7cftBNWG/IW6u34LWbLg7LJLCOMIYQ6/UYEXFa9uy2rFFK8eTtU3Drkm/c7OEFfB6eW3wxYvycmNAYq8OBLQW5mPfrCthdNWW1/u/gTqTIlfhq2tVIUwRGuPVGoU6PR37+FZtP59a1jcxMx3+mTUCi0n/ruXq9niZjEGt3pVKJ+++/HytXrkTfvn3x6quv0n2kUikSEhLqbOC//PJLrFq1yqu4/uGHH9I1KJLskZGRgYULF9ZlupNEkR07dmD79u00E95qtWLIkCHIycmhwn1DIb32PQMNE9dbCclO76Hqh4XZT+Cngq9RZM5DlDAOUxKvQKYsGyKe/2/i1WYbLM1YeuUXVqJXj2S/nwfDPxCxeta4/hjXLxur/zkMvcmCiQO7IjMxCrEqecAnJL/tPuYmrNfy/s/bMConi4nrDEYrIPXUk5OTkZ+f7yawE2GdtAei3nq109R8vwdnFkb4oIlX4/bXb8Jli6bh96Wb4XI6Me66UUjKiqfZ0oGEWMe9t/4fN2GdQBzjHvpmDX5aPBvpMf6pmxVKGeuNhXXCjl/34uWb38XDXy3yewZ7S9m6dSvGjx/v1kYy1hctWhS0c2K4Q8TzJy/uhVFdYvHehlOoMFkxOCMKiyd0QVZsYFwpGi6YN4bU8yY12BlhjDIRuPpzoPQocOB7QKwEel8FqFIASWDv11UmK+7/bp+bsF77Pbv50x1Ys2gkkjXhF8jBYAQLIoq+f8Mg/LA7H59vO0vv1xN6xOPWMZ2RHqCgqAP/lhPxRJHOTGuwM8IXUvecCNekbMxvh4upRf5FvZOQoBJTK/1AUqwzY/5nO92EdQIJ7rht6S58fcvQgAv+DEY4k6hR4pM7r8LXm/fix52H6XrxRQO745oRfWmfv7E67DiU1zSruZYzJZV0/YGFzYQvmSkx+PiZWdh96Bx2H85DVmoMRg7ojLhoRcADaotNBtzy28o6Yb2WcwYdntr6B14dMw0KoShoGeuNhXXCptNn8ejP6/DyJVP9lsFOSgj+9ddfVCyPj4/H448/jl27dlFx3RsSiYSK4p4gjonkGG+++Sb69euH3bt308x3skY+e/ZsvP7669SN8cEHH6RJH4888giqqqro/qECE9fbgIQnRSd5N8zLugc2pxV8rgDyAGb5icUCiER8rwJ7UmJwo2fai9leAqujEi7YIeRGQcSPBZfTsb6qJNKObF1SYoN6HsQO/qs/dnvt/27TXnRLndBhsn0YDF8gFAppLWNSX51sJFudbIEQ1glibvOLZ2Je4G3DfYXD4URFhQFVVSaaJqFWSRAdrehw9yh1rIpu3Yd0Cep5VBhMWLnLs0U9qQ299URuxIvrxAq+sbDeUGAn/aEirhcVFdEJUkPIa51Oh+rqajopYgQfshB89aA0jO0WT+1O5WIe5KLAOUDU1ef2AMkolgrD95mdZMKU6CyoMFoh4HGp3a2va8iHBYqEmi1rdFBPg3wOO85UeuzTW+w00IOJ6wxG6yAi5/xRWbi0fzIVRkgWrySA9+2eSd5ljwSlmNZfD1us1YCxGKiuBIjVrSymZutgJKoldJvYMzgZZLWUGaw0YMMTxIGn3Ghh4jqD0UqSopS4Y9owzBrdj77WyCUQBMB9kSDk8dE9JQ5bjjZN/iKkx2ogDoADi7+wOEwwOqpgcRgg5Eoh5akh4YfGOkEgIfbviaNVmDq6Z1DP41B5CbWF98TvuSdRYa4OmrhOrOAbC+sNBXbS7w9xnWStf/rppzQTfdy4cXV27ElJSR73J+vdpO75vn37MH/+fI/7PPHEEzRrvbaMIXFSPHToEN577z0qrsvlcnzxxRcYPXo0FAoFzY5fv349zZpvCMmKb+wES46TlpYGfxO+d50QQBakm1y0RoYZU/vhmxXbm/QlJaiRGB+e4rrTZYfWchB7Su9Dtb2mThOfI0eP6AcRLx0HAS/8bIrDHafTSTPnvVGur6b7cImNJIPBaDFESA+UmN4YOV+FbHk/HDc0DZzpJOtN+8MRs9mK3Xty8cJLv9SI62Syp5Hhwfuno3dOCkQBFJ8YNThcLljtnm3basX3SIfUWG8Oky7yrwHDPwQr24pkoWVES3GmvOl3d+bgtLBdqCZZ0j/vK8R/fzlcl+WWHi3FmzP7UytlXgcL0goFSB3m5tCZmUsCg9EWSNBpsKzXB6RroJTwoatu+vd71/hsxCnDcwyBsRTY+jaw9U3A8W92VmIf4IqPgOjOwT67DonZ5n0OQmAuCQxG2yBielyAXVVrx64Zg3vg0z93wu7hGfH2KUPD0hKeYLBV4I/ij3BI9ydcqPl/y5D1w9Sku6ASxAX79DoklZZ6a/rGuEhQtrP5McafkBrr7elvK6dOnYLNZsPgwYPr2lQqFbp27eq239tvv02t3km2OhG87777btx6661NjkfcXE+ePIm5c+fSbPVa7HY7PW4tQ4cOxb333ounn34aDzzwAEaMGNHkWCSrvbELozfR39eEcVhox0Uo5OOaywdhyoRebtl4nTJj8cJ/rgzLeusEIqj/XTS3Tlgn2F0G7Ct7FDrrkaCeW0dFLhXjgu7e6ytO7N8FfD4T1hmMcIJEv16acis6y91tezrJcnBZ6h1hWW+dcC6/Eo8+vrxOWCdUVhrx0CPfoLCwKqjn1lGRCQXolujdgWVoduDr9wYamap5pwipMnQsjUmNquLiYrc28ppEBbOsdUYtRJAh9a4bZh+SMoGX9UvGbWM6QSwIz+dCUiP2kR8OuNnHni034Zr3t6KgyvviCsN/KMUC6h7gjc5x4TnnZTA6MiRAa9nNQ5EaVe+GI+BxcMeFnTCxR3x41p0l9X/3LgM2v1wvrBMK9wKfXgxo84N5dh2WOIUIfC+BcWIBF1FS7+MLg8EITZI0Krx7y6WIktfPoSVCAR6/ajy6JgXX+bWtWB3V+LPkExzU/VEnrBPOGHdj5bn/wWT3Xk6F4T/6xCZ67SN11xWC4AUDKsSidvX7m1mzZmHPnj20hjoR0F9++WVwuU0laIPBQP/94IMP6P6124EDB7Bt27a6/UhSJ7GiJ0L9iRMnvK5lde7c2W0LVEIby1wPMsSKq7LcAJfTBYVSAqG4ZZl10VFy3HnLOFx39VBoddWQSgRQq6TQqMPXzrfQsBZOl2fbpqOVr2Gg8C0IeeGZURmuSEUC3DztAqzfewKWRpG/SdFK9M9OCdq5MRgMMobYAWdFzaXgasDhtGwMUQljcHXa3TDadTA7jBDxpDRjPVyFdbPZhq+WbaO1vBvjdLrw/Q87cOftEyAIY5uwcIRMeh+++ELMfv+bJp9Nv7REpEZF/piuiVdh4MQ+1AK+MaSd9IcKJCL4l19+cWtbt24dbWdEJiRrq9JoBYcLxMhELS6hkR4towJ7hcEKo9UOjVSIaLkQihbOY0INYg37wtqjHvuI2P7HkRLMHpYR8PPq6JBAjoendse93za9f17RPwUx8jDNcGUwIgSTxU4dJPg8Tov/Hol4TtxAvlswDOVGK80ujpaLECsXBtSe3qcYioBNL3nu0+UDZccAVXKgz6rDQ76TpATC23+ebHItFo3LDlunHQYjUjBUW2Cy2iDk86CWtaz8mFDAw8BOqVh2z7Wo0JtoiaxohRSxShkEYZr4RazgD2j/8NiXX30IRnslpGHqLhnOxEtlmJDWGetym4q5T1wwFvGy4AX5RkulGJmZTi3gG0PaSb8/yMrKgkAgwPbt2+vs1rVaLY4dO4ZRo0bV7Ueyzom4fT5ICUKSXU4y4okg740XXngBR44cwYYNGzBp0iRqRX/jjTciVAjTp9fIoLxEh81rD2DV0i2oNlkxZEw3XDl3FBJSozxGdDRGJhXRLSUp/OuVEkv4KqvnmqQEo+3Uv8I7G1ACTWqsCp89cC1e+34Tth4+Qy2Apl/QHTdNHoyEqPAU4hiMSMDlKIDL9C1QvYLcRQHJDEByDTj8li3eECE9XMX0xlSbrTh1qsRr//HjxaiutjFxPQj0SIrDF7dcjed++hP7zxVDLhJi5tA+uHZoX8QowjcgsKWQeuqLP1iAl29+101gJ8L64g9u9Wu9dRIJ3DCyl0QOk0jgqKgoOhl66KGHkJ+fj88++4z2L1iwAG+++Sbuv/9+3HTTTfjjjz/wzTff4Oeff/bbOTKCF9ybV2HCB5tPY+2BIpptft0Fabi4TzKtx9vSRetIETdJkMGJkprIeU/sPFvBxPUgQKz4J/SIw4ezB+LZX47gZKkBMXIhFozuhBl9k2mtaAaDEXhsdifOlBvx5voT2HKiHGqpgIqYY7rGtViwjFOK6RYR2Ktr6qx7o+QQ0OnCQJ4RgyaK8DF3RCbSoqR47ffjKNSaqWPCPRO6YnSXWIjC1GmHwQh3TBYrTpdU4O3VW3EwrwQJGgUWTByCvplJLRLZSTBwglpBt0jA4jC6Zaw3xmCvQCxYkG+giRJL8d8RE9D3aAI+PLCT2sR3i4rFo0PGoG+M96z2QEDqqf9n2gQ8+vM6N4GdCOuk3R/11gmk5jmpg37ffffRNaW4uDhaM51omG11HnrqqaewcOFCKshPnjwZFosFO3bsQGVlJRYvXozdu3fj8ccfx/LlyzF8+HCaBX/XXXfRGuxE7K+lqqoKRUVFTc5XJvP/miMT14NERakezy7+Egd31v8RrPl2Ozau3ofXvrkdKZnhaWfSVrgcPpTCbigx/emxX8pPA5cTGQt44Qafx0N2cgyemzcV+moLuOBAJZdAHK6R5QxGBOByFMJVcT3gyKtvNL4HV/UqIPorcHiBqS0TKohFAqSmRuFsbrnH/vT0GIjDNKMy3CE2bX3Tk/DOnEtRbbVRsYRktJNArY5CbGoMHv5qESqLtbTGOrGCJxnr/hTWCWRScuGF9Yu5ZHJCIBOiTz75BIWFhcjNza3rz8zMpEI6qYn12muvISUlhdbKItHBjMgit8KEGW/9hSqTra7tv78cwY97C/DhDYMQ30KBPVIQ8LhIi5Z6FdhzUtQBPydGDSqJEOO7x6NvihoWuwM8Lpda/bbUZcErxE4lHO2nGYwQ4FixHpe9swUWe40YUGqw4L7l+zClZwKeuawXomQdbN2GLwZESsCi89wf0yXQZ8T4F+KKcM3gNFzYLY7WaCbjfcQEdTAYYRrgu/NkPu748Ic6Z7sKgwkL/28V5k8YjBvHDoQsyJbWgUbIk4IDrleBXcZn85BgESeV49Y+Q3BFl15wOJ0Q8/mIloRGgkiiUoGXL5mKcpOJ1lgnVvAkY91fwnotRNwmSRnTp0+n5QPvv/9+5OXlQSxu2/vOmzcPUqmUZqcT0Z6I4Tk5OVi0aBHMZjOuu+46zJkzBxdddBHdf/78+XTN6vrrr8fGjRupVTzBUyb7s88+iwcffBD+hqljQeLM8SI3Yb0Wk8GCL9/+AwuXXAqxpGPVAEqWX4STVR/CBXuTvmzN7RDyAjegOFwOVFkrkGs6iXJrCdKkWYgXJUEljEJHRS4R0a092J1OFGr1+O3oCezNL0LvpASM79oJSSoFFfEZDEbLJiQw/+EurNfiLISr+idANg8c4vPbQZBIhLh25jBs/ut4kz6ydn7l5YMgDHBAkN1uh8PhoBt54CNboGr+hCIamYRu7cFSbUFJbjnWf7UZeUfz0X98b7rFp4d+QCIR0v0tpjdmzJgxNfcLLxCB3dPvkOhgRuRCBMr3N5xyE9Zr2Z+vw758LSZ0MHGdZOAvntAFty3d1aRPxOfSOsCBxGC2oURvwV8ny6ll8vDOMUhUiqFppv54pBPjC/tesxbQngP2fAnoi4AeM4CUAYCS2TUzGC2lymTFkz8erBPWG7L6YBFuH9u544nr8nhg6O3An8827ZPFAHHdA/4ZFevM2HyijAa1juwcSx0FlB3Y7YOUGWkvFUYrciuM+GbHOZitDlzaPxld4xVMrGcwWkGp1ogl3/zmsZzfh79tx8WDe3Y4cV3GU6GLYiiO6v9q0hcnyoKMH1i3Yq1Nj1JLBQ5qj0HKl6KXMhsaoQpiXsf6XGohgb0Jsva7JJTpjThVVIFV2w9CLRZgQnY87A738ruthQjp/hbTG0OywZcuXVr32mg00uxzInoT/vzTc9JsLU8++STdGnLttdfSzRMHDx5s0rZy5Uq3182teQWCjrvKG2TW/7jHa9+W3w/ipnsmt0pc11WZoKs0wma1Q6aUIDpOURe9ES6IeYkYlPAudpfcC5uzirZxOUJ00dwFtah3wM7D6XJSUf3tE/+F1Wmpa48VJeDWTg8hWhQXsHOJNA4WFmP258tRbasJoFh96Bhe+3MLPrnucvRNSWyzjQiD0aFw6eEyuz9MuGH+EZBcAfBaHgzkcpQB9L7rBLgqgBsXdn+PaalReOiB6XjltbW0BjtBKhXivnumIinA5VOsViu12yYPmrWQCMzk5GQIhR1XHGkPNqsNO9ftw1OXvQins2ZB98+vt0AVo8TLG55CWveUYJ8igxEWVBptWHPQ3TKtIct35uHCrrHg81oeoFWkM0NrstFgJmIPHKcIP3H+gqxo3DOhC17/4zhsjpoJOrEgf2fWACSp2hcY1Bp01TZ8vSMPz/x82K394j6JeGx6T1Yjtq2Y9TWi+poG2QsHlgNRWcANqwB1ans+Ngajw6A327H9jHcL9D+PlqBXcstL+ZF6uUQIJvc+AZ8LjVSIqHALJOIJgIE3AtoCYM/ngOvfwANNBjBzGaAK3DNqucGCl9cdw9K/652JCAvHdsaNIzLp9WW0ngqjBS/96n5dv9+dj0HpGrw5q79PxHsGoyOgrTajWOvZKcrpcuFUUTnSYlqeWOd02WC1l8Du0oHHEUPAjQafp0Q4IeLJMCHhFticFpwy7qhrjxd3wmUpjwRUXK+0avHm8c+wR1s/DyHutXd0vgGDo/pAQpxaGK2mVGfAY1/+ii1Ha5JsE5QS9IuXQ6Uz0YzvcEo2JIkYpP754MGDab31JUuW0PYZM2ago8LE9SAhakY4F4oEQCs0jfwzZXj54eU4tLvmj1ShluKmxZMxfGJPKFRShAs8rhDR4kEYkbwcFkcZXC4bRLw4iHgx4HEDFyGltVXgvZP/cxPWCaWWInyb9zFmZ94JCS98rmuoUKw3YOHyn+qE9VrMdjsWfvcTvr1pJhKUkVEzh8HwL1yA08zCCC2h0TJRxOVyAPajcGnvBez/1mbmxoOjfBou4WBwuOFzr5NKRRgzujt656SivNxAgwOiomSIjpaDz+cFNGO9sbBOIK9Je2pqaofOYG8r5QWVeOaaV+uE9Vq0ZTq8NO8dLFn1IFTRbAxhMM4HcdMW8r2PERIBD9wWBldV2xzYeaYCD3y3H/lV1bStU6wML13Zh4orrRHogw0Rc+aOzMQl/ZKp0EMy1km2dLxC3H4L8lZa9jcW1gmr9hbSesaX9WeBRG1CX+AurNdScQrY8AIw9XlAELggCgYjXCHDA8mGJqK4JyTClj9zE0H9jyPFWPLTYZoVTOiTosJLV/VB5zhF+GWvT34GGHEXYCwBhHJAFgsoEgJ6Grtzq5oI64TX/ziBUV1iMTCj4zoxtoeTpUaP13X72Uqs3l+I2cMywi4wncEIBrzz/J0IBS1fJ7E5KlCk/xZ52rfhcNWsvajFo5Ad8zTE/PByJVIIYnBx8n0wOapgsusg5skh5asCagnvcDmxvuRvN2Gd4IQLb5z4DK/2fQwp/MCOaZHC1qO5dcJ6Q4idu9lqh1wSPuI64cUXX8TRo0dp4tCAAQOwadMmxMTEoKMSPiseEcbES/t77Zt0+UCoolpmHVpaWIX7b3i/Tlgn6KtMeO3x77Hvn1MINzgcHiT8BKhFvaAR94NUkBxQYb1WRK92uIsitRzR74XB5qWWFqNZKowmFOk8RyiW6I2oMNUsyjIYjObhcOXgSG/w3i+9DpyWltFw5MNVcW29sE5wFsNVdQvgOBl2H4VAwEN8vAo9eiSje/ck+nMghXUCsYFvLKzXQtpJP6P15B4+B6u5ZuG1MYe2HoO+XM8uK4PRAqJlQswcnOa1f9aQ9BaLyWfKjJj98fY6Yb12Afrq97chrzL8nuukQj5So6RUfCB11hNVkoAK66Qe7Gdbz3jtf2/DKZqVyGgDx1Z779u/DDCVs8vKYLQAkvk8qaf3Uhmju7Tc5W93biUWfb23Tlgn7D2nxdXvbcO5SlP4fR4iBRDdCUgbCiTkBFxY15qsePtP7/O3DzedpqVGGK0fmz9vZmz+dOtZlBk8z1EYDIY7apkE2YmeRTixgI/0FmatkySREuMqnKl6oU5YJ1SZN+Jg8VyazR5uSPgKRItSkSrriVhxesBrrWttOvxU+LvHPhdc2FK2M6DnEylUGqqxdKP3snvlBlOTBJJQpl+/fti5cycMBgMqKiqwbt06WiO9I8PE9SCRkBKF6dde0KQ9OSMGF107lAoELeHEwXxUlHpeUP7opTVe+xjeMdi9i+dkQLG7mtaoZLSs3npz2JjgxGC0HEE/QDjKQ/tgQDisRYcgdWlc5p8Bl6fFKxdc+jfgcnoOiGF453ziORPX20a1wdxsv50tFjIYLYLH4+LKgSnomtA0kPeK/inIipW16Dgmix1vrT/hMXuR1OL9ensuXZBmtBy704USnXfxnAhQ9n8t6xltsIX3euEt9TbODAajWWQiPh6Y3A1xiqYJEA9M6oo4ZcsSI0ig0HNrjnjuM1qx40wF+yRaidXhpPbl3ig1WGBj43Krcbhc0Jnd3RcbYrTYqZ01g8E4P1EKKZ65dhJkIncnRpLQ/p9rJyFW2bJEQ4ujBLlVb3rsM9lOwGw/xz6OVkLuY3qb9/W/cqv3kjCM5q9rtcW7juR0EqWJEc4wX9IgodTIcN0d43HhtL746autMOjNGDu9L3oOzERsQstrVB3a09SaqJaCs+W0BjujdSSKvdfck/EUEDNL+DYRJZVCIuA3sYUniPg8RMvCx36awQg2HF4soHq2xtLd9BU1a+JIrgYEPcDhtTBjxGUBrNu999sPAjQKuGUTHEYNvPPUSzpfP8MzWb0zvF6a2JRoyNUtEwQZDAZoRvanNw7GzrNV+G7XOchEPFx3QTo6x8oRLW+ZMGK0OrDvnNZr/44zldQ2XhFG1vDBRizgYVz3OPx5rNRj/5CsKCjEbPreJrInApte9NyXNgwQhpkFNYMRRNKjZVhx23BsOFbsno7WAACzNElEQVSKXw8VUaGdjCGkXSkWtOgYVrsThwu9B738fboCl/RjZTBag1IiwIjOMThT7nmN8MKusdShhdE6yFrVpX2T8edRz2PzxB7xUEtb9r1nMBhAdlIMvr13Fn7dexw7TpxDRpwGlw3NQVKUAsIWJho6nSbYnVVe+43Wo1CKvTsGM5oi5grRTdEJh/QNXC0b0F/Ti122NqCSijCud2f83++e115VMnGLS7IxQhP2ZBVEVBoZ3br0ToHL4YJA1PqPIyUzttnj85qpqXg+qsoN1Hb+6P5z0MQo0LlHEqLjFOC3ogZKOKIQqNFT2R8Hdbua9E1PuhoqgSYo5xXuxMplWDx2OJ5Zu6FJ36IxwxArY8IIg9FqgZ1swiE005zTXB12jwcQAPxMwLrZcz8vkSwntPlDcTlKAEceDQAALwXgdabHjPR6dEQ8l8lkHq3hSTsT19uGJl6F6bdMwE/vrWvSd8ebcxGTzGpIMhitIUElwbTeEozvEUcn9IJWiuBiARfJGgmtEe6JjBgpXZBuK4VV1ThRYsCZCiOy4xTIiJYhQSVGpDO2Wzxe//0EzTBsiIDHwcKx2ZC2Yb7IIFG+mUDGKODMRvfLwRMAk58FpGx+x2C0BnL/v3ZIGi7vnww+l0NdUVoDqduepBKjQOvZmahzXNuDe4lrSpHOjMOFOvpvTpIKyRopYj1k20cSZMydOzIT3+3Kp8FtDVFJBJjRl5RcjOx5mL8YnBWFrBgZTpW5z++UYj7mjcxq1/MOg9HR4HG5SIlR48axAzFrVD/weVza1hq4HBHdnCRhxAMiftuDsywOK6psOpzQn4HRUY0uikxECdVQCiI76UQukOGGjMvw8P4XaJ31hsSLotFZnh60cwtn+DweLh+ag++3HUCl0b1sGvnuy8WiiF8jjXTY7LyVWM026LQ1i0ikLnpL7dub/RDIg1gbP4k+Q7IgFPFhtTTNBr5y3ihExbYtCr+sWIvn712GAzvqawuJxAI8+c4N6Dkg0yf/36GKnK/A1WnzsKFkNTaXrYPFaYZaEIWLkmaiu7IvuByWgdMWhHweLs7pgVS1Gq/+uQWnyyuQEaXBXWOGYUBqEkQRHrTBYBBcTiPgIlkaXIAbA44P7iccIpK36fd4gOQauExfUHG+Sb/sjpbXbm+Ey34Orsq5gON0gwNqwIn6BC5+t4h+eOTz+UhOTkZ+fr6bwE6EddJO+hmth2Sm3/DU1eg2JBtf/fd7lJ6rQPaALMx7bhayerOJHqNjoKu2wWi1g8/l+kwkaOuCsEIswMKxnbH1pOda1TcNz4SwjUG+x4r1mPXB324Cc2qUBF/MHUIzIyNdsPp2wVD895fD+O1wMYjrft9UFZbM6EUDFhhtRB4HXP4BsPdr4J93gepKIHM0MPZxIKYzu6yMDkGl0Qqz3QERn4somY/GkDauC5Ex7PaxnfHIigNN+oQ8LsZ3917X/XzC+p68Ktzw0T8wWesF5j4pKrx73QAkqiWIZFI1Unx/2zA8ueoA/j5dSa2WR2XH4rHpPZCiiez/d387/nwxbwg+23oGX2/Po84Lk3om4M5x2UiLYmMzo2NQoTXCbndCLBZAKWt/wCtZE2rrOrCQF4N4+ZUo1JO1LHf4XA2kwk5tOq7ZYcGuyoN49fhHcDQoGXRBVF/My7oGGqESkUyaNBFP9bwbH57+GmdN+eBxuBga3R+z0mYgWsQCUdtKSrQKXyy6Bh/9vh1r9xyDXCyETCxEcpSKaiWM8IbjIkVXOwg6nQ4qlQparRZKZetviIV55Vj+fxuxcc1+KohPuLQ/ps8ciriktokPvsBud+DI3jw8ddunMOjqo37HX9IfN90zBZqY1kdWESt5Uq/9h8/+atInEPLx/s9305rxkY7daYPeroXdZYeQI4RKGPn/z4GiwmiC1eGAgMfs4CP9vhlJtOdauFw2wHEWLv3rNZniHDkguwEc8cUtt3H3Ay6nCbBsgEv7AJlK/NvKBWS3gyO7Dhxu6x+gXU4tXFV3AdYtTTu5ceBELweHl4BIx2630/rqZCPZ6mRjwrpvqCiqgoMsDkuEUEb7x8rXbDbj9OnTyMzMhFgc+dmy/rpWbAzxzbUwWe04UWzA/9Yexe7cSsQpxbhtTCdc2DUOMUHMxKsyWeki8wtrj9J64QQi2jx7WQ4m9kyAvA1Z1sU6M654dwvyKtwj+wl9U9X4aM4gRMla6dQShhjMdlSarLROHwlk6Aj/zwHB6QSMJYDTAYgUgLhjP9uGOmwM8c110FZbaRkPcq8+WWJARowMd0/ogoHpGqilwbu3lBkseHXdMSz9Jxe1q5IKER/vXj8AgzI0bVpwPldpwqRXNtLSJY25amAKnprRk5aqi3TI+KyttlHxSi0RUMt4RvshNevLDVaQCrnEDYDZ7IcubPzw3bWo1Jmw/UAuPv5+K0rK9eiSEYdbrxmJTmkxkEmCNw+x2ItxvOxhVJrr3VEFvFj0ivsIMmHbEjoKqotx1+4lTTK3CXMyrsC0xDEdIuFOa9Wj2mGm/69KvhxifmQ7vwQKs9UOrakaNqsVurJiZGVlsbWmCFjHivynSh9RdK4Cd1/9DrSV9Vlo3364EZt/PYjnP5mH2MTgCOxE5O/eNw1vrbgLxQWVMOqqqVW8OkoOuaptkamVZQas/uYfr8L7oV1nO4S4zucKoBHGBPs0IpIoVl+d0dGwn4ar/HIyBah57TIA+v/BZf4DUL9WY/EeBDhcKVziceAIVlPxHy4rwM8CuNHgcNuYHeis8Cys0z5iFV8IdABxnQjpTEz3D1EJwQtqZDCCwe7cKlz3f3/XiQ+ny4y4b/k+XDUgBQ9P6x40cYS87/UXpGNKr0ScLDVQu9nMGBnNSCT1w9sqtngS1gkkG7HCaOkQQrNczKcbw8cQ21FF5D+DMBi1kID2X/YX4aHv99e1HSzQYd6nO/Dw1O64fmg6JEFyJYyRi3D/lG6YOzKLjiFyIR+p0VLEK0TUKrUtHCrQeRTWCT/sLsCdY7ORGhX591YyPgczcCJSISV0OkKJGgajFoPJgs9X/YOvft5Z17bnSD5ueXIZnrtnBkYN6BQ0V0IRPx5dY1+E1VEGs/0sBNwoiPiJEPIS2nxOf5Xt8iisE1bmr8Pw6AGIEqkQ6aiECqjgnySGjoxYyIdYqKCirr48ct08OxqR/1TpA2w2B35e9rebsF5LYW45dm05gUmXD0SwIPWtSPa8rzLo7TYHLGab1/7SoiqfvA+DwWB0BFxOPVz6F+qF9YbYdlDhndZODxK0Vjs/uWbzBS7PtRPrcLIxhMFgMFpKic6MR1bsrxPWG/LNznO4eVRWUBfQSQ3wNLJF+8YWVV/dtNRVQ6qt9RaNDAaDwWieUp0Fz/x82GPfS78exZReCUgNoq21ktgLiwU0MMsXEPcTb1gdTroxGAwGo2VUak1Y9ku9sN6Qlz76HT2y4hEbFTwRVsDT0E0mzPbJ8UrMZV77tDYdnGBjCIPRHp588kn88MMP2LNnT8RcyMj3svABeq0Jf6076LV//Y+7YTJ6EE38RGW5AQVny1GcXwmzyerz44ulAiSmes9M796X1TZlMBiMFuM0ANZNXrtdlrUBvZguRwlc9rNw2fPhcvph7OIqAU4zi3S8VN+/J4PBcOPZZ5/FoEGDoFAoEBcXh0suuQRHjx4971X69ttv0a1bN2qLlZOTg19++YVd2SCjM9txptzktZ9kcwcKh9OFQm01zpQZUVBVTWvb+pr4ZjLCiOW8WsqsbRkMBqOlVBitMFg8By1Z7E6U6M8TFOtDbA4H8qtqxpAibTX8UaGyV7L3jMJ4pQgyIattymAwGC3l9LlyjwG+hNJKA3QB1EIsFhuKi7TIP1eBinKDX96jn6aH175seSZEXDYPYTCaY8yYMdQ5gmxkTalHjx54++23/XrRat+v4TZixIiAfVBhl7lusVgwZMgQ7N27F7t370bfvn39/p5cLgcisfcbqFgipNnj/sZcbcWx/efw9n9W4ezxYvD4XIyY2As3Lp6E+GTf2bRHxSox7/6pePrOL5r0pWfHIyWTWaUzGAxGiyGWVBwR4PJscwtOYCJ9SS10WLbAZfgf4MgnoxcguQKQz/dtDXRuHCBbABhebtonHAdw2RjC6Hjo9dWorDTBaLRALhdBrZZCoWhb+Z6WsGHDBtx+++1UYLfb7Xj44YcxceJEHDp0CDKZ5+ywLVu2YObMmVSYnz59Or788ksqyu/atQu9evXy27kymofPa94yTtaGuuZtodxgwaq9BXjjjxNUrFFK+Jg3IgszB6dRG3hfES0T4tJ+SVixu6BJ300jMn36XgwGgxHpnM9eXcjjBcyF5eMtZ/DZljPUtj1OIcI9E7tgQo8En5b6SNFI0SdFhb3ntE36HpzcDfFKZunNYDAYLUV8nhJFbS3h0VpKSnT4/JNN+O3XA9RdODlZg1vvnICc3imQyXx3X++iyES0UINya6VbOwcc3JBxGRQCuc/ei8FoL1WWapRXm6CzWqAUihEtkUAt8t8aU0u5+eabsWTJEphMJnz22Wd0XUqj0dC1Jn/x8ccfY/LkyXWvhcLAOfuFXeb6/fffj6SkpIC+J6lffvGsoV77L75+WLPi+/mw2ew0C/3UkULkny2DUe9ZgDl9tAgPzvmQCusEh92JDb/so21lRU0nD+2h9+AsPPzKtYhNrIn8JUL+mOl9sOTdOVR8ZzAYDEYL4UYB4iu8dnPEU9p1KV3OarjseXDZDsNlz4XL2TTDkWaGWDbCpb3rX2GdYAaqv4Cr6h64HOXwFRyOABzJVeAoHgE4mn9bxYB0Njiqp8DhsXrZjI5FSakOTz+zEnPmfoDbF36G2Td9gKf/u4q2+4s1a9Zgzpw56NmzJ/r06YNPPvkEubm52LnTs60f4bXXXqMTkvvuuw/du3fH008/jf79++PNN9/023kyzo9GKsDQLM9BtAIep9ksvZagN9toFuHhQh3OVZpgtTfNRjfbHPh0yxk89eMhKqwTdNV2vLzuGF7+9Sg9hq9QSgS0DvCto7Mg/TfDkAj5D0zuirkjMttcy53BYDA6IkS4TtFIvAYzxcjbt/hYZbLiVKmBjiHE0cThwdGE7PPEjwfxzp8n6+qhl+gteOC7/VixOx82H7qgkACsd68fgCsHpNAxkkCE/Jev6oMLu8UFrTYwg8FghCOpCRqIvQTyds2Mg0rePmG73GjCibJyHC0pQ5Fe79HRhGSpP/bQN1j9814qrBPy8yvx6IPf4OCB2rUt3xAjisKSnoswUJNDBXVCojgOj/a4AxkyH5VRZDB8QIFBhzv/+BFjl3+ES1Ytxdjl/4c7//iJtvsTvV6PWbNm0YSNxMREvPLKKzRbfdGiRXX7SKVSJCQkICsri9rAZ2dnY9WqVV6P+eGHH9L1J5LpTlwUG2a633TTTejduzdNtiZYrVb069cPN9xwg9sx1Go1fc/aLSrKd0nIEZW5vnr1avz666/47rvv6M+BZPCYbsgZlIn920+7tV84vQ+yuia2+bhVFQas/voffPPhBmrxTh72B47qgjsen4G4pFpRAtBVmfDh/37xONAUnavE8YP5iI5XoqxYS4V2fVU1tXZXx8ihULW+hpZcKcHIyTno0S+dWt4LhDyoo2QQS1m2CIPBYLS6prl8LlzEGt5xxr1TthDgJbbP4t3wFlC9nIRq1QzrkksA+V3g8OLrd3SWwKX/n+eD2LYDzkK4uCq6HxXfndUAPx3gRoPDbX10LocXBZf0OnDEE//N2BfRuvL0WjAYHSxj/cWXfsGOne5/+zt2nMaLL6/GYw9f7NcM9lq02pogzOYmGVu3bsXixYvd2iZNmkRrYjGCh0oixDOX5uCq97aizFBfDoroAy9e2addmdxECHnqx4P49VAxtXwUC7i4eWQWZg/LQIy8/rilegve23jK4zG+3pGHW0Z3gpDHpWLJ2QoTna9kRMsQoxBB0gYxPFYhxt0TumDWBenUtpgcg4gjgcqOYTAYjEiBZGq/ObMfZn7wN6r/FSUI5J799qz+7crkJoFZ9y3fi+1najL8VBIBDYSampMItbT+mb/MYMHq/UUej/HqumOY3CsBaomA7keOKRLwaEAAue8L+a0fQxJVEiy5pCcWjsumNdaJFTz5/2TCOoPBYLSOaLUcS+6cjodeXknLQ9WikInw2ILJUCtbrzcQHE4nFdTv/3ENjpXWJHrEy2V4asp4DElPgaxB1um5vAqcPFHi8TjvvPkbOmfHgyfjo6zahLO6SqhEYiTKFEiQKcBtQ0BVgiQWd2XPgc5ugMPlhJQnhkbYvmBmBsPXGesPbFqDjfln3do35p/BA5vW4o2x0/2WwU7Wi/766y8qlsfHx+Pxxx+nTofNOYtLJBIqinti6dKl9BgkoYOI5sSlnGS+E/F+9uzZeP3112myyIMPPkiF/EceeQRVVVUhlQASNuJ6cXExvbhkgY9EQLQEEtVQG9lA0OnaHr0RHafEgy9dgzPHi/HrdzsgEPIx+cpBSM6IoZntbcFhd+C3Fbvw2evr6trIYtT2DUfx5G2f45kPboQmtsYu2FJtxeE9uV6PdepIPs0yf3zBp6gs1de1E4F8wcPT25xtTgT76Db9JoPBYIQ3vhxDOLwkIOozwLYXruqfakRr6ZUALwUcUqO8DbicBrj0LwHmFQ1a7VRodzn1gOqZ+mO7jICz2PuxHMXgOKvgqloIuGrrV3EB6Y2A7GYqlrcWDofXrsABBiMSIFbwjYX1hgI76fe3uO50Omkk8fDhw5u1dy8qKqITpIaQ16SdEdwxJCtWjpW3D8em42VYf7QUGTFSXNE/BclqSZvEawIRMW5buhN78urdr8w2J7V9JwtRt1/YqU7UIFmHROT2BFlnM1ntWLm3AI/9cKBuPyLcPDa9O2b0S4ayDQ5f5L2JvS+DwWB0NHw5fhCIw8naRaOw+kAhduVWISdZiem9k5CkEdMSiG2hUFuNa97fhiJdfc12bbUND684QB1IyPFrOV1m9HocvcUOi82B9/7JxVt/nqwTb4gg/vrMfhjeOaZNjiUSAR+pUWGz3MlgMBghOYYIBTwM6pWGpS/MwZrNh2gN9oG90jC8XxYSYtrualug1WHWF9/AaK13vyo2GHHrtyvxzZyZ6JNUX7Zw317vWsi5vHIYOXa8snUDvjtxqK49WizFRxMvQ05MPHjc1gfnSvkSujEYoQixgm8srDcU2Em/P8R1krX+6aef0vKB48aNq7NjT/LiMO5wOPDVV19h3759mD9/vsd9nnjiCbz00ku47LLL6OvMzExayvC9996j4rpcLscXX3yB0aNHQ6FQ4NVXX8X69euhVLrff4jlPK9BqSPyO6TEYSAIi6dNIjgTa8sFCxZg4MCBOHPG8yJlY0jNyKeeespn50EEarL1vaATjXptb+RreYkey95b77Hv9NFCFBdU1onrHC4HSo0U2grPE5P+w7vioRs/hKHB5Iawac1+msF+3Z3jIRCExcfNYDAYIYGvxxBa15xsogngcHyQfecsB8wrPfdZ1gLOxUCdcE+EDTIG2D2dGRX/XeWXN+p3Aqb/AwTdAcnF7T9fBqMDQmqsN9tvar7fF5AaVwcOHMDmzZv9/l4M/40hyRoprhmchqsGprZZDGlIsc7sJqw35INNp3DlwJQ6cbs5YUMu4tNsyPuX73NrJ9mCj608iB6JSgzICJwtG4PBYIQ7vh4/iOtHWrSUuow4nS6fjCGHCnRuwnpDnl9zBIMzohD3b1Z8wyz2xmTGyHCkSIfX/zjh1k7s4+d/vhO/3j0KnWJZjVsGg8EI1hgiFgmQnhSFW64aQYO2uW0Qqxuz+shxN2G9FhJe9dqGv/DapdOhENe4aMXG1eginrhgeDZWnD7kJqwTys0mXLv6a6y97EakKljWOSOyIDXWm+/3nCXeXk6dOgWbzYbBgwfXtalUKnTt2tVtP2LrTqzeSbY6Ebzvvvtu3HrrrU2OZzQacfLkScydO5cmVNdit9vpcWsZOnQo7r33Xlq28IEHHsCIESOaHItktY8fP77uNbGsDxRB9dYjKf21IrW37ciRI3jjjTdodMRDDz3UquOT/YkNZu2Wl5fnk/MmA4kvLKWIDbxR73lCQsg9WVr3syZGgUtnN/3yEGLiVago1TcR1mv5celWVJbWZiIyGAwGI5hjiE+EdYKTiCLN1Ch0VtX/zI0GRJM97yccCpdlvRfhnSSyvwmXo6y9Z8tgdEhksuYtu2V+Lrdzxx134KeffqLRvSkpKc3uS2pTEaeohpDXpJ3Revw3D/FNvVhivesNk9UBg8XuVrO3Z5Ln7JSZg1Px8V/eA5/fJjV2GxyLwWAwGMEZP3w5hpAMeG/kVVS7uZ0QlxVS390Tt47Owpt/nPTYR7LYl+/w3f87g8FgdAT8O4a0fy3LYrdje+45r/0Hi0thstUL7zl90sDne37fi68fhA8P7vTYZ7TZsLukoN3ny2CEGkph82tIygZlFYLBrFmzsGfPHpw+fZoK6C+//LLHe4fBUKNVfvDBB3T/2o0khmzbtq1uPxLUQ6zoiVB/4oR7MGYtZM2qc+fOdRuxle8Q4vo999yDw4cPN7tlZWXhjz/+oHUgRSIR+Hw+vUgEksVOLAK8QfYnNgENt1BCKOZD0EwmSHySuu5nHo+LCZf0x4ARXdz24fK4WLjkUhTnV3g9TrXJCpuVLWp1dMp1Ruw9VYC3Vv6Fz9btwJmiChiq/Z8xx2CEK6E+hoB7HrtcTn2WB4crBUd5L8B3jygExOAoHgXsnh9QKA4yIWkaVczoWJToDNh6Ihevrt2MZdv2Ire8CuYGk16GZzQaKQYOzPTYR9pJv79cn4iwvmLFCvocTey1zgeJCP7999/d2tatW0fbGZE3hiSovNfZ5XE5kDaYo0TLRXhjZj8kNKrNq5EKMHNwGs6Wm7weK7fCBHODOr+MjklBVTV+PViE51cfwXc7zyGvwgS7o5kAQQajAxPq4wchK8b7oiUZG/i8ehGfjB0f3zgICpG7k2JalBSDMqNwrsr7GHK8xAAbu1d0aEiQBRkzVuw+R8eQtQeL6JjCYDDCcwwR8HjIivbuapWsVELYwN45JkaBJc9c2UQ/6d4ziZbw1Vq8Jy2e0nrXShgdA4vVjnNFVfh+3R68/dVG/L3vDEorwjsBNVoixajkDI99pJ30+wOi0QoEAmzfvr2uTavV4tixY277kaxzot0mJyc3G5BDShASS3mSEd9QGCdbw/WrF154gSZfb9iwAWvWrKFW9KFEUH3CY2Nj6XY+SPH6//znP3WvCwoKMGnSJHz99dcYMmQIwhVNjBzjL+mP1d/WfylrUUfLkZTuXu08Kk6Je5+7EqVFWuz75xQUKglyyMJsrALCRhOVxscStqHWISNyKNUa8Ngna/HPkfpaNa9+vwn3XDEaFw/rAYXE+wIrg8EIUUg2umAAYPMQqcvvAXCjmtZ913wEOM7CZd0LDqmHLsihVvUcwWC4zD95fh8iyHPYPaIjU1Clw4KPV+BkSYWb+PbqrIswLDsdYlZ2xiuknvq9i6fgxZdX0xrrDYX1+xZP8Vu9dWIFT2phrVy5ktamqq2bTiY6EknNe95www10wkOsAwl33XUXrWVFal5NmzYNy5Ytw44dO/D+++/75RwZwYVkEiaqxCjUNl2Qmp6TSAX1xnXfV9w2DMdK9DhSqEfnODm6JSoRKxOib5oa+/M9W8z3TlFD1sw8hRH5nCo14Or3t6FUXx/UKxHwsHTeEPRNVfssk5bBYASOwZlR9O+YlAVpzPxRWYhT1M8dyN94ryQVVi8aiYMFOuqcQurAd4qV0WOQ8iHbTnkWQIZkRkPAC2pOECOIkGBR8nwx64NttFRALTFyIZbNH0qfRRgMRnjB5XBwZd9e+HT7bjhdxAjendtHDIFGWj9HFgr56Ns/HR99dgsOHjiHykojevZKQUKiClaRC0kyBQqMeo/v1Sc2cNbQjNDDarNj+4GzePDlVXD8G6j3+artSEvU4LWHr0BCTGgFnrQUUk/9+ZGT8MCmtbTGekNh/X8jJ/ml3jqBrCuRJOf77rsPUVFRiIuLozXT2+PwTUpYLFy4kK5TTZ48GRaLha5BVVZWYvHixdi9ezcef/xxLF++HMOHD6dZ8LXrVkTsDwXCYqUjLS3N7TUpZk/o1KnTeS0uQxmRWIhZt49HcWEVdm0+XtdOIq+efv9GxCbWZ643FMrJlt0z2a09JTOW1lYvzGs6KbnujnGIbqZGCSOyIXXV1mw/6ias1/LS8g0Y3DUVihQmnDEY4QaHqwFUL8BVdRtgP1Lfwe8Mjvp1cHjRTX+HFwvwYsERDnRrd4lHAAYl4NI1/R3FvTXvxeiQVNtsePPXLW7Cem0Wyd1Lf8JPi2cjNbrp8wqjnrhYJR57+GJUVppojXViBU8y1v0lrBPeeecd+u+YMWPc2kmU75w5c+jPubm5bpHEw4YNo4L8o48+iocffhjZ2dn44Ycf0KtXL/ZxRiAJKgk+u2kw5ny8HfkNMsCGZkXhoandPAriiUSQV0swukucW/ucoRlY9k8ubA73BTIShENEluZqtjMimwqjBYu+3uMmrBOIIDfvsx346c4RSFL7717IYDD8AwnO+mLeYNz0yQ5oq+udjC7tl4QrBqTS+39DiMCeopHSrTH3TuyKK97d2qRdLuJjUi9WmqYjU6Qz4+ZPd7gJ64QygxV3LdtNn2MaBwMyGIzQh2Snv37ZNNy3ag2qbfY60f3WYYPRPyWpyf5EYE9MUtOtMfcNHIm7N/zSpD1RpkA3TYyf/g8Y4UBZpREPNRDWa8ktrMQ7X23CAzdPgFQcXAv1tpIkV+KNsdNRXm2iNdaJFTzJWPeXsF4LEbcXLFiA6dOnU1eM+++/n5aeEIvbpivNmzcPUqmUZqcT0Z7Yuefk5GDRokUwm8247rrr6PrVRRddRPefP38+fv75Z1x//fXYuHEjtYoPNhwXCQUMM86cOUPtAUj0Qt++fVv8ezqdjkZCEMuCULJF0VUZaU30gtxyqKNlVFQnddRbS1FeBV559Dua1U6QSIW49rZxmHDpAKiiAldrgBFalFYZcMP/vkJxpWfbk2vH9se9V44O+HkxwoNQvW8Gg1C9FrQeurOkxr6dlwBw42tE9NYcgzwK2I/Dpb23XqjnaMBRPgqIxoDDZQFaHZX8Si2mvfSJV0vOZ6+chIv790CkQR7kSY0o8rzZ1olCR6G5axWq981gEKrXokhbTbPXifiZHi1FrEKEKFnrFqqtdgf25FXhnm/30lq7tZnxL1zRG/3TNUxc78CcKNFj/MsbvfZ/f+sw+h1hMMLpvhloQvU6kEDLYp0ZeZUm6KrtyIqVIUYmhErauoVqg9mGzSfK8OgPB6hoSsiOk+PVa/qie4KSuVt0YMizxSVv/eW1f93do5Adz+apjPC5bwaDUL0WVocDpXojzlZWweqwU6v4KKkUclHrxpBKczV+OHkIL+3YDL2tZgwZEJeEl0ZPRaaKPWN2ZNZtOYLH3/jZYx8pv/zNyzchKa71+lt7iaS1JqPRSN0Qifvh3Llz0RHXscIic70xGRkZNUJAhKBUy+iWnh3fruMkpEbh0ddnQVthhNVih0whplbyzdV1Z0Q+xGZHa/Reg6ZMa6B/T2218GAwGMGFw4sByCZou8BJ//4FXQDNx4CzEoAd4KoAbhw4HDaGdGRITdzmal2WG7zXyWQwGOGRwU629iDk8zA4MxrfLRiGSlPNopZaKkR8oxrtjI6H1d58XXW9pSZbicFghB8kO504T7TXfUIuFmBijwT0SVWjymSjx42SCRHDMpI7PMbzjBGW84wxDAYjdCF11ZPVSrq1B41Yguu69cXE9Gxaf13E4yNaLIFazJyROjqVOu9rVSSb3e5oWtqG0Twk0ZnUPx88eDAVnpcsWULbZ8yY0WEvXViK6wzvKFRSujEYtcjEQgzqmopN++trvTZkfP9sJqwzGAwKtZL3YCfP6LjIREJkxGhwpowEXTRlYGb4ludhMBi+JU4pphuDUYtKIoBCxPcoopO4vrQoNm9lMBg1tvGJKgndGIxaiAsOGSs85VbJhDxopAJ2sRgMBgREqJcr6cZg1JLTpWmJgVpS4tWQSsLTEj7YvPjiizh69CiEQiEGDBiATZs2ISam45ZgYOJ6mGMxW1FZZoDd5oBYKqT12lkGcnDR27Qw2HWwOa2Q8RVQCtQQcIN3w5ZLRLjj4uHYeugszUBsSEqMCjmZiUE7NwaDEVxcTkN9pjpH3mo7eUbkE6OQ4eGLxmD+xyua9A3ISEaShk1gGYyOSpXJSrMMCUoJv9V28gzf4vzXorncWOMeEC0XIl4hDqqlMgm2uHdSVzyx6mCTvmsGpSJGzha1GIyOSrnBQu3kudwatxMSjMMIskWzzoIKoxV8HhfRMmHQA+bIODZrSBq+2JbbpG/xxK6IU7LnDgajo1Jq1sNgs0DA5UEjlEImYPeDYGJ1WlFp1UFvN0LIFUDFV0AlDG7ZjoRoJQb0SMXOQ3lN+hbNvhAxanlQziuc6devH3bu3Bns0wgpmLgexpQVafHFm7/hj1W7YbM5qLB+4+JJGDymW6uy150uJ7gcrl/PtaNQbC7AJ6dfQ4G55uGfzxFgfPzFGBkzEXJB8ASI9IQofHr/NXjx2w3YfSIfAj4PUwd3w/ypFyBeE941qox2A+xOG0Q8McQ8FunOYLQUlz0PLv2zgOUPMhIAvHRA+QQg6AcOV8YuZJCw2+1wOBx04/F4dOPzg/u41jc9Cf8393I899OfOF5cTrPZrxnSG9cN74doOcs6ZDA6ooh7vMSAx37Yj3/O1Lha9EpW4plLctA9UUFt4ltxMJKy6L+T7SBUW+3YerIc9y3fVyeux8pFePHK3hicFQ1JkMqECXhczOibRC2en19zBOcqq6lgs2B0J1zaPxkKcRiLaeS7ayqtSamURAF8FijAYLQEq92BA/k6PLxiP44U6Wnb8M7ReOriXugcJ2/1eBTMAKJIQVttwy/7C/HMz4dh+NdpJDVKgreu7Y+eSSpq1R8MyBixaHwXZMXK8fb6EygzWJGikeDeiV0xuksszVYNV0jiCwlkIETLRUG7xgxGuGGwmbGj/Cye3b8G50yV4HG4GJfYDff2nIhkqbrFxyHlUYkpBpeVSG03WqsePxeux6qC32Bz1YwhGdIU3NN1LpIk7SuB3B40KimevGMqvl27G8t/3QNTtRVZKdG464YL0bNzAsK9BLCDzEXofCt8x8JIgOOKpOLl56E1xehDncpyPZbc/gWO7G0awXnPs1di3Ix+581gr7CU4rBuL47o9yFOlIhB0aOgEcRAxAtOtJfdaYTFUQGD9SS4HAFkggyIeNHgccPDXrLSWo6Xjz4Knb2qSd+VKTdiWMz4FgcxkIAHkgHvhBNCrggyvm+iqbTGahjNVvrdiJJLIRKGb3yN0a7HaeNxrC36HlXWCqTJsjAl4XLEiZIgDNJ3OBKJpPtme4mka+FyFMJVPhNwFjTq4YAT9SU4wgFhJwTr9WZUVRlxNrccMpkISYlqREfLwW+NyBNkrFYr8vPzYTQa69pkMhmSk5Op5VKwqTCYUG21gUeyWeTSsH+Ib+77azabcfr0aWRmZkIsDo/nkGDR3LWKpPtme4mka5FbYcK01zY1sfoW8bn4eeHI84sjViOgPQfs+QqoOAFkXQhkTwDUaQgWFUYLSvUWnC4z0WzqZI0ECUpx2DiCHSnUYerrm+BsNLMni/W/LByJrgktD6Y12xyoJAv+HJJNKoBE4JtxvURvhsXmBJ/HCXpGfbvRFQAHvgd2/B/gsALdZwBD5gOajGCfWUQRSffN9hBp1+FokQ7TXt8Me6MbFrnf/HTnCKRomg/c1FZbkV9Zja/+yUOpwYJpOYkYmK5BYjtrv7cLQ0nNfaEqF1ClAMokQBE+C/cbj5Xiho/+adIuFfKwZtFIpEW1PPDaaLFRRwIyhpBgqlYF3DUTREHGEJvDRZ81gp1R317OVZro93flnnxqe3/1wFRc1j8FScH8DkcYkXbfbA+Rdi22lpzEvK2fN2lPk0Xh0+FzECdp/v+xvNqEM7pKfHVkH6rtNlzRpRd6RMUhXha8LOZirQFFlTqU6YxIiVYjViWja/bhgMPlxJrCDfjozLdN+qKEKjybcz9iRJoWH09nrYbRYQUPHESL5TR4or2Q2uoVVSYqRouEAkQFuZxye9aaiIxLnGbKjCbozRY6n4qWSqEUi8J+fS5c17HCV1nr4JQWVHkU1gkfvbwGfYd2Qky8yuvvF5nz8fqxp2B01EQKE34v+RFzMu5CT1W/gNuYWx1VyNV9i+NVb8IFB23jcoTIiX4K8bKx4IdBFmVB9VmPwjphTdH36KUaCLUw6rzH0doqsbNiM9aX/AK9XYsMWTYuSb4OieJUmp3dHlQyCd3CHbPdRK/PuuIf6toOaHfioHYXFnR6CN2UOUE9PwYj5LHt8yCsE1xw6Z8HNO+Dw1WHjRBcWWnE/328Eb+s3lt/LlIRljx1GXr1TIEgSBl7rRV6G19PAnlN2lNTU1scuOCvoIdwmeC1hFD6/jIY4YTD6cKKXec81tC22J14f+NJLJnRC2Jv912bGTjxG/DtHFKbpKbt8I+ANAq4cQ0Q2xWBpkhrxv3L92Lj8bK6tliFCJ/eOJhm4oe6wE7E8Pc2nmwirNd+Xh9uOoX/XNoLohYIHCRwgmQH/rAnnyZkE9Fq4fhsZES3fy4WpwhvMaQOXSHw1UygcE9927a3gP1fA/N+ZwI7g9EMRosdr/1+vImwTiBlRn49VIwbh2V4ve/qzDYs+ycPz64+Ute25kARzbL+6uYLzivM+4XKXGDZNUBxg/IXMdnAtd8CUZkIdUj29P/W1l/PhpisDvx2qAQ3jchsUSb2mXIjXlh7DH8cKaZjzlUDUzB3ZBatnd4eiHiQoAr/dSwCCQy56t2tKNCa69pe/PUYvt+Vj6XzhgQ3SITBCHHKLQY8f2Ctx75cYwWO6UqaFdeJsP7c9g345tiBurafTh9F/7hEvDNuBhJkgXd2PVlUjlvfW4Giqnp9pn9WEp6/firi1aHvNFtp1WL5udUe+yqsWuSZClskrpsdNpzQleClg+uoM4FaKMV1WUNwaXo/xInbdx34PB7iokP/WrYEIqyfLKuAozZX2gkU6PTQmc1IUauYwB4EmAdfmHLikCdRpIbKUj2q/7UX8majvezs+27COoEYonx+9i3obFoEGp3lMI5VvVYnrBOcLiv2lj0Ek+0cwoF801mvfUQkt7tqalI2h8Gmwze5H2JlwZdUqCefyWnjMbx67AmcNZ3w8RmHL3qHDr8Vr2zSTq7X13kf0AAFBoPhHZd5k/dO217AVd0uIZj0BwoSufnnhsNuwjo9F5MFDz78DUpLdQgHiBDe+HrWQtpJf0tF47y8PBw/fhynTp2i/5LXpJ0Ret9fBiPcMFnt2NRAhG7MP6croDc388xrKAa+v7leWK87cAWw8o6afwNsp/7678fchHUCyWK/7v/+RmGDxe9QFqsOF7rP6xpyqFAHk8XRoky6K97ZgmXb82C2OWmwxPe783HpW38hr8Lk47MOY/J3uAvrtRjLgG3vAHZLMM6KwQgLDGY7tv9bTsQTG46WwmL3fr8q1prdhPVa8iqq8dYfJ2iwUUAhY9aK+e7COqHsOPDN9YChFKEOud4nSgxe+3ecraDzrZYEZ1385l9Ye7CIZpgTe/mP/jqD6z4kY2nzc8sOFaC4+5ybsF7LqTIjNhwP/e8LgxFMiAB7XF/itf+fstPN/v6JqnI3Yb2WXSWFWH3mWIvudb7OWF/w3vduwjo9n1MFeHHlRhgtob+GY3PaoLN7H0POGvNbdJyj2iJcu+n/8E/5GTjhQoXViNeP/IEHdnyHcrP343ckSOZ9sd5QL6w3wGC10bI7jMDDxPUwhdRX9wZfwINAyGveTtt0zGMfEYCLzHkIJDaHDser3vXaf0a3FM5/a3aEMgmSFK99Mp4CfM75swarbOU4oNvlUTRenvcxdDbPmfEdjYLqXHpNPFFhLYXJ7lmgYjAY/8L3fr8CN/q8jwe+EoJ9QXmFAV8u2+axz2Zz4O9/TiEcON81a8k1ZaJxy691qHx/GYxwQ8jnIkHlPQOZ1A1t1gK25LB38fHcPwEX10n91uU7871m85HF7lBHIuShU6x3K8vOsXKIhdzzWu7+vK8QJfqmn02lyYZvduTRrMQOj90G7Fnq/TIc+iHg32EGI5wQ8DmIlXsv4ZaoEoPP9X6/Ipnt3iDBQLU1rAOGsRTI3eq5r2h/TX+II+Rxkd6M7XvvZPV5HVyqbXa8+ccJmunemNNlRuxoJqCiI1FpsuKHPd4Tpb7bea75AEUGo4NDLMIVfO/zkCSpqtmM308PNV1vr+WzQ7tRVh3YYNLCCh2KqzwLx+v2HkeFPvSDWwVcPmQ8744bKdLzl0iptBjxzP7V1GK+MURsP2diYwiBiOo6s/cg3ipz6AeFRyJMXG8HVqcFZZYSHNTuphv52eLwX6S6rsqIwtxyFOVVILNrAmITPA8ao6f2hjra+wKL09X8orHFEdg/RofLArOj0Gu/yZ5L9wl1UqSZkPI8X/dx8RdBKTi/Dcopw1GvfcWWAlgcLOKXwOcImr2O3BC372QwGoqhFosFJpOJ/uvPjFmXoxwu+1m47OcA8TSA42URRToX4Mb6XQj2FU6HC+Xl3iNZc/PKEQ4Q6/b29BOYaNwyQun7y2C0FVIT+3ixntrh/n26HAVV1VQg9RfFOjNdIC/TW7BwbGfwvdTLvn1MJ6gkzTyn2c6zSOS0Bzxjz9qMaJxfGfqLWlIhHwtGd/LYRx6J54/OOm/ddGLzT75L3iB92mq24E8vaHNlunhCwAe1IRkMf1NmsOBggZb+be/OraQZ4f7M1iWZy2fKjNQV49Hp3emfkieuvyAdfB632cx3bxC3jUBnHcJ6ngAsS+g7aJGguMUTu3jsI/XNp/Q6vzCiNdmw/qj3bNJVewtgYwFaII9O5Jo2F8Do5fGKwQgpio0G7CkpxJozx3CgrBhlJv8FozqcdmhtJaiwFEDCs2Jxj/Ee9+NzuBgW19nrcZwuF4w278+yJpuN7hNISnXerxs5F7M19BMNNQIVZiR7/kyUfDnSZcnnPYbRbsXBKu+BR1tKTrbrHCMFznn0DqaFBAdWc72NkMzYnZV/YUX+Z3D8K1bzODxclnwD+muGQ8r3XY1wu92Bs8eL8daSlTi8J5dGjfYb3hlPvnMDXnnkOzeL+OyeyZi9aCLEEu/1QiU8GaKEMaiwerZ0TJZmIJDwuXKoRL1Qbfd8I9WI+4PPCf0afRpBNO7MfgwfnHqh7tpywMGImAkYHDUK3BYstJDPxhvkWFyOf+oGVztM1JLe6DBAzBVDLlBBzg/deiQJ4hTwOHw4PDgaJEsyIOWF7rkzGIGu+exymgDbfrj0SwD78ZqhXzQZnKhlcFXeDDgbLKYLx4MjuRic89yvfCEE+wpSTz0zIxanz3jODOmdk4pwgFwz8vl7yqgm7S0V19vT31Foyfc34IuzDEYrKNGZ8fjKg1hzsP7+rZEK8MmNg9ErWQWeD1dmiaC6+XgpteE9V1kNsYCLqwemYsVtw3D1+9vcstTmjshE37TzBJMm5HjvU6cBYu8ZJ/4SpkkwgDfhuEt8eDxTZsbK8No1ffHw9/th/PczkYv4eO7ynBbVSyfBEnKx96UBhZjvNaDCFyJfucGCaqsDGpkQMXIRZKIQXabg8YFBc4FDKzz3D7gRkMUE+qwYjFZBgrFu/3IXdufWu+KlaCT49MbB6BTnPUmjrX/fP+4twBt/nKBZ5UoJHzePzMLnNw3GDR/9g9qYMHJ7eerinkiNbr5m+vge8Xhng+dF9qFZUZCLmw/C9zkSdU1AjYdsO4o0PO4HgzOj8MDkrnhl3fG6gLNomRDvXNcfiRpxi2qikzGEOJ14Qi0VgOenBAgS/EfGEKvDhWi5kDojiAWBm4u2hiiZiAaQPPj9fo/9c4ZmQCYK8HeYwWglp7WVmL12Oc7q6seQXtFxeH/CJUiW+/Y5Xm+rwI6KldhV+ROszmrI+VEYGXs9XhgwDfft/LluPwGXh9cHXY34Zmpzi/l8XNq5B/4859k6fnJGF2jEgdUe0mLUXvskQj5kgR7T2gCPy8O4uOEos1Tit+K/qKU7IV4UjQe734pYUdR5j0FEYfIZ2pye16tUQu+Z8e21WS/VGlFhMIEs/0QpJIhVymiN9lCEx+VCLRGj3OQ58ZL0hTpPPvkkfvjhB+zZ46HEVpgSorPW0KfYko/l5z52ayMi+7fnPqYZzBn8bJ+9F8lUXzzzHVgtNUIiWfDdtfk4ju0/h1eW3Ya8kyUoL9ahc88kxCdroIlpfhFIJdTgypS5eP/U/5pYaxMhWMkP7KIWnytBZ9UtKDL+RmKz3Pp4HAlS5JeA4ydR2ZeQoIckSRoWZS+hNdYtTjOUfDUUAhXEzVikNCRT3gVccOFsdB0IvVWDIPOD4K21VmJl/lLsqtpS931Il3bG7Iw7ES2Ka1JSQG/T0ix6ci7RwlioBFEtChzwJeQ7em3aLfji7Ntu32ERV0zbFQLvZRMYjFDgfPbdqamp4PN9NETbj8JVeQMtMPFvA2D5CS77XnCiPqfCO1x6QNAX4MWDw40KiBDsKzQaGebfPAYPPfKtx74ePZIQDpDPmwRWeAu4aMn3IVhBD+T7TIR7spH3IJu3823Nvv6iJd/fcK+7/s4779DtzJkz9HXPnj3x+OOPY8qUKV5/59tvv8Vjjz1Gfyc7OxvPP/88pk6dGsCzZrQEm8OBT7accRPWCWRBe9aHf2PNopFI0TQvTrQUMuf480gJ7vq6fvJLsg4/3XoWR4r0+GXhSGw/UwG704VBGVGIVQihaibAlyKLBQbNA7Z/6N5OFt2nvgQoExFI4hUi3Dm2M/7z8+Emfd0TFVRwCgeIkD4lJwED0jXU2p1IGHEKEWKVIghbcO8nYjYJjtjUqPZ8LfNGZkEl9V3gXy2nSg24beku+n0ikMCQa4ekYeHYbMQqRE0EFJL9WqS10M8lQSlGTKN9AkJsN6DX5cCB79zb43oAva8GuKE/b2V0XIjl9OMrD7gJ6wQSPHXjJ9vx7YKhiFf6ZnGW1D//dMsZKqzXoqu246Vfj+HawWn4457R2HKyAiIBFwPSNPSeJT1PYE16lBQjOsdg84myJtbmj07v0bxzij+QxQF9ZwG7P2/a131GzZgXBmikQswZloHpvZPovZZkUBORmnwXiHB+PmJkIswZlomnfzrksX/W4LQWHae1jgiHCnS4delO+v0lkKzwuyd0oUGAJFir4fNModaMc5UmVBhtyIqR0TGm4T6B4sJuceifpsauRn+DY7rGok+qd6GNwQgFSkwGzFv3vZuwTjhQXoIHNq3FW2MvhkrkmzGk2q7HuqJ3cFT/V12bwV6B1YWvYVz8fPwy9nZsKTsDjVCKXuokxIkVEJIgyGYYkpCKTqoonNS6l/Ah5zy314Dz/r6vIUJun4xE7D3T1M33hjEDEKPwbcCbv1ALlbg+/VJcnDQeVTYdxFwRVAIFokQtu6dFCaWYnpKDFbl7PCYaNudI0FYsNjt2nDyHR5auQYWhZgxRiEV49MqxGNUjCzJx/fhAEvsMtgpUWPNhc5oRLUqFjK+BuJkESX9AghBiZDLoLVZa5qAh0VIJDVAINmPGjMGGDRvozyKRCFlZWbjjjjtw2223+fV9169fj5deegl///039Ho9XUMdOHAgbr/9dowaNcqv783E9TZAbNN/K1rltf/34h9xXfptEDVnGddCrGYbvvt4U52w3hCDthpb1h3AFXNHgdtMXSpPdJJ3w6IuS/BTwVfINZ2GWqDBxIRL0VWRA4kPs+5bikyQjsEJ72F/2RN1GexyQSf0jn0GEn54CCMNgxfI1haIGH99xh347MwbbqIxcRq4OPnaFov0LYWUMVhdtBw7q+ofVghnTSfw4amXcGvnh6AU1AyGWlsllud9hH3aHW615G/pdD9SpVkBFdgFPCFyVANxf7fnsLnsN5RZitBZ3h39NcMQJQyPCSyjY9MS+25fCI4uRxVc+ucbCOsNTyIPsJ8ARzI9KEKwL+nZIxkPP3AR3n7vd1RV1Vj49uyRhPvvm474uMAGjLUH4lhAAivaKj4HI+ihNQ4MgXJr8MX319fiutZkphHRerMFCokIUTIpVFL/RRanpKTgueeeoyI5WVD89NNPMWPGDOzevZsK7Y3ZsmULZs6ciWeffRbTp0/Hl19+iUsuuQS7du1Cr169/HaejNZTqrdSscITBosd+89pfSaukwX2/65uKjoT/j5dQUWaKwemtj7Lb/SDQMpgYNOLgL4QSOwLjH8SiOuGQMPjcXFpv2RqV/vW+pP0GhKdf2zXOCyZ0ROxitDPAKiFiOjks2/r509cD8i1WLHbvQb9pJ7xGJTRtrlNcxCh/LoP/0ZBAztqIpZ8vvUsoqRC3DG2MwT/2kOfLjNg9kfbkVtRb9PfK1mJ964bgGQffd9bjDwWmPw8MGAO8M/7gK26RlxLuwBQhte8ldHxKDdY8fsRz/bd5O+L3Pd9Ja6X6i14f+Mpj33Ltudi/qgsGkzTGkhAzUtX9cFP+wrx8V+nUWWyUbGd2JpnnCfr3S+I5MDYRwGBBNj5CeCwAjwB0HsmcOHDgCR85iEkSzI1imytv45EOJ/eOxFrDhRie6P66reMykJGjMwvDgzXvL+1zq2ltjTAc6uPIE0jxdTeNcF6pGTOwQId5nz8D8qN1rp9x3aLw7OX5fjs+95SyPu9c90A7M2rwlf/5IHPA2YNSUfPJGVYPXMwOiakJvmJKndhupZN+WdRbjb5TFw32ivdhPWGbC5dirlZwzAzc1CrjpkoV+CLKVfiyyN7sezoflgcdkzL7IoFfQYjVRH4+3WUQooXZk/DCys24Pf9J6gVPLkXE2H9mhF9IQxRFw5PSPkSuiVK3JP0WoKYL8RtXcdgV3kezhrdyzo+1fcixIp9H2RwrlyLOz74gc49aiFrNQ98vhpf3j0TvdJqSqLYnVbkmvbj+7xnYHPVz1n6a6ZhROwsyPiBDYoS8nnIjNbAaLHCYDej2mVFtcMKM5cLo0MAlY91o7Zw8803Y8mSJbT86WeffUYFbo1GQ9eb/MHbb79NBfzrr78eX3/9NTp16gStVksF97vvvhs7d+6EP2HiehuwOW2osHm2nyWUW0vpPr4Q1w0GM/Zu815bYvvGo5g28wLI5K17L3JuGbLOuClzMaxOM7XYJhnWwYLHFSNGMhRDE7+AzaklBugQcNUQ8aPRkRDyROip7IeHur+IPZXbUGEtRXdVX5pJrhH6/lro7VX4p6ImoqgxBeZcKqgTcZ3UuNlYusZNWCcYHXq8deK/eLD78wEXtcl3mDgFXJ4yG3anHUKukLoHMBjhQMDsu13VgG23927LRnDE44IiBPsSuVyMCy/sjt69U+m4SaziVSoplMrgP1i2FnL92noNAx300BoHhoC6NYTY97eoSo/Hvv8VW47n1rUNz07HkssmIEHtH8vpiy66yO31M888QzPZt23b5lFcf+211zB58mTcd9999PXTTz+NdevW4c0338S7777rl3NktA2r3em2kNyYM+W+q3losDhQrLN47T9QoENOirpt4mSfq4FOFwIOOyCU1ojuQaw3O29kJi7ukwS92U7tZIm1rCIMrBh9CbFjf3Rad8welo4fdhdQQWJGv2SkR0tpn68h9ZcbCusN+b/Np3HVoBQkq6Uo0Zsx79MdbsI64UC+Dg9+tw9vzup/fscEX0O+w2RLvaDGDlrABBFGeGC02qn1qTfKDPXiY3upNFmp2OkJspZdarC0SXQl4uRNwzNwUe9EOFwuWrZCHkwrbUUCMH4JMPT2mhrsAhkgj6sZ2zoQ5HN5a1Z/nCwx0FIAxN78kn5JSFZLoPaD88mm46Ven4de/PUotbonwRiFumrM+r9t1DWhIX8cKcF7G07iwSndaaZ+oK/VxJ4JGN0llq5hBfr9GYy2Umn2bEfdsG65ryBZwt6wOI10awtJciUW9R+G67v3o0ltapGEWsYHC7IesGTmRCy6aASqrTbIxUKasR5OwrovSJKq8dHwG3C4qgjri45SJ4IpKb2QIFZCxhf53Alu2ea9bsJ6Q97/9W88e/0UyERC6Gyl+Db3STjhPt7sqvwZCeJs9NFMRDACqis4Viw58CO2lNYHMQ6P7YQl/S5Ggh8D+0hW+IIFC6i1u1KpxP3334+VK1eib9++ePXVV+k+UqkUCQkJdTbwJHFj1apVXsX1Dz/8kGadnz59GhkZGVi4cGFdpvtNN92EHTt2YPv27TQTniTsDBkyBDk5OVS4z83NxaJFi+j28ssvux23d+/e9Fj+honrbUDMEyNdmo2C6vpF0oZkSDvTfXwBFQiiZCjM8xwZFhWroPu0FVIbXorAZ6p7Q8yPgxitj3KKJIhoHM9LwqTEywLiwkDKGXijylqOVGkmdPYqbCr91fMxnNXINZ0KWsY4j1MjiDAY4UTA7LuJowRHDbgqvbxRzQNPMIRgf2QfxsUp6daRCaRo3BoHhkC5NYTa95dkrDcW1gl/HT+Lx79fhxeumerXDHYCubbE8p1c56FDh3rcZ+vWrVi8eLFb26RJk+ikiRFaSAQ8xCtFXkXv3m0Ru70g5HOoTbe3hQdiGdsuiPgQIgh4vMBnQIcgJNCAbH1TfZ+p3piTpd4XRYmDAClBQCjTW7zuu+lEOc3EDbi4Xgs/SO/LYLQRpVhArbO9id4pat8Fpp6v7rVU2Pb5DhEk4wKccdwspB6sMAMdnTiFmG5DO/m/1vyePHdb6oacKjPW1Y4/UqhvIqzX8uU/ubhpRKbPHH9ai6iDiWeM8Cde6j2DWMDlQin0nQgq4TW/rsPntP0ZjM/lIV4WOpbrxIK8oQ15R4WIwmS7MLGrX9/HbLXjaIH3pNmTxeWottiouH5UR+rIe9ZNtpQtQyf5QMgF5y+t6Uu01mo8tnulm7BO+Kv0JB7fvQovDLzCb3XqyZrRX3/9RcXy+Ph4WnqQuB0Scd0bEomEiuKeWLp0KT0GSero168fdVokme8kQWj27Nl4/fXX0adPHzz44IN45ZVX8Mgjj6CqqoruT/juu+9gs9moyO+JQCRhsvC4NsDnCnBh3BQq6jWGZICPjptC9/EFCpUUV9482mv/JTcMhzCYUbqMsBfyufD+QK/+N1ve7rLTGvLeKLd4tpZjMBjN23d7wqf23dwYQDbHSycHHPFk9hFFIEQwJlGdJGKU/OsvAbk1DgwBc2sIMYgVfGNhvaHATvr9xf79+yGXy+l3gEQXr1ixAj169PC4b1FREZ0cNYS8Ju2M0CJOKcK9Ez0vOKRFSdEp1ndBs9EyEab2SvAqinRL9I/zAqNjQGreekMm5EH8byZfpan5LKjmnBwYDIY7pM40qa3tieGdohGj8N3ifrRMiB6JnsWRFI3EL44YjI5Dn2aCCTNjZBDwahbU8xq5njSEBHERRyAGg9EyYiRSjE3N9Nh3bbc+iJH4bh6iEsZ5FdjTpX0g5YdP2Q1GaCEW8tEl0XsQWGZcFCTCGq2tzOJ5LYdAstq9Ce/+pMJibCKsNxTYSb+/stZJucEXX3wR48aNo+UDP/74Y69reaT9iy++wL59+zB27FiP+zzxxBM0a/2yyy5DZmYm/ZdYub/33nu0n6xnkWO89dZbVIQn2fGff/45zZonHDt2jP5cmylfK7iT36vdyLqYP2HiehuJEsbh9s6PIlZU/+GRn+/o/CiifZzB26NfOqZePbhJ+/ULxyMlk9WXZrQdBV+NwVEjPfYlilOgEtRkrQg4wrqfPZEi9fxwxWAwmrfvbiyw+9q+m8PhgSO5HBCOaNTDBUf1EsB1F9MYDH85MATMrSHEIHW7mu23NN/fHrp27Yo9e/bg77//xq233kojfw8dOuS392MEBhJ9Pb57PJ66uCeUkvqxYmR2DL6YNwQJKt9FqctEfGqX2i3BXUQXC7j4eM4gJIRS1iAj7MiMlSFR5fk7NHdEJg0kITT3PSPiiUocGg46DEY4QLLJ543Mwq2js+i9nEAcSkhZjBev6oMome8Eb+KC8ea1/ajbSkM0UgH+b/bAgNe6ZkQWo7rE0kAsT9wzsUtd/fIeSd4FuBi5EJJ2OCgwGB0NtViCZ0dMwmWde4BPXBJp0hYfN+cMxJ19h0Iq8F3yn4IfjavTlkDIdZ/bqAUJmJp0F8S80Mk8Z4QXxLFs5si+9PnHE7dMHFLnJJAu6+P1OPHiLPA5gQ8U1NvM7epvK6dOnaJZ4oMH12uUKpWKrjs1roFORG2SsU6y0IlYTtajGkOcFU+ePIm5c+e6ieH/+c9/aHstxH3x3nvvpaUL77nnHowYMaLZ7HTiwEjWwX7++ec6l0x/wmaibUTAFaCTvBsWZj8Bo11P8v8g5ctpfWpfo46SY87dk3DRrKHYs/UkeHwe+g3tBE2MArJ/HxgZjLYg4okwNekqWJ0W7K7aRuvNENKkWZiTcVfd95kI69MSr8aXuU3rrsYI4xEvSmIfAIMRovbdHF4coHoBcBTCZfsHHI4SEA4GuLHgNJqoMBhtcWDwZPfe2IGhNftGEgpx85MthUjk13tM586d6c8DBgygdapIbfXaKOCGkEjf4uJitzbyumEEMCN00MiEmDUkDeN7xENXbaMCCRFEVBLfu1klayT47KbBOFNuwp68SiSqJOibqqaCJ5/H4rQZbYd8l5bOG4IFX+zEsWIDbSOLXDMHpeL6oel04YsQJRPiwq6xWH+0qX3jtUPSENtIuGMwGOfPXl80oQtmDUmH3mKnTiQki5wEVPmarFg5frh9OI4V66k9d6c4ObonKmkdbgajPSSpJfhq/gVY8PlOFGhrhARS8mDhuGwMa2BLnx4tpU4pxCq+MXeP74J4tqbKYLSKBJkCzwyfgEX9h8Nks0IuFCJWIvd53XIOh4t4cSfMy3obReaTqLQWIEGSjWhhChSCGpdVBqOtpEQr8ca8GXh46RpUGWvGEFLv/pErxiIrvt7mPV3WmzooVDt0TY4xJv4mSPmBL0upEIjb1e9vZs2aRe3bibiemJgILtfzmoHBUDP/++CDD2gd9YY0XB90Op3Uip60nThxwm2/7OxsaLVa6rhYu3ZFBHqyDhaospNMXG8nRHz0h6DuyR6ebBnZbJGT4VuIcH5V2jxMSbwSJocBIq4ECr4ScoHSLQqol6o/Lk+Zg18Kv0W1o2Zi0lWeg6vT5kEtDGx9EQYjUghUzXIOLxrgRYMj7OX392J0PAeG/Px8N9HckwNDa/aNJKLkUgzPTqcW8I0h7aQ/UJBJicVLpjyJBv7999+xaNGiurZ169Z5rdHOCD5E2CbiRCAEClLXlmyDM9nzHsP3wtvSeRegwmiByeqggSMxMiHk4vpAEdL27GW98b+1R7BqTwHsThcVUIgAf8uoLEgEkTl+MBj+RMTnISVKGrBAGrKN7hIXkPdjdAxIMFbvFDVW3DYcZUYLtXcnQSIkeIQ4NNRCHBI+vWkwHv3hADYcqwnSUoj4uGt8NqbmJIDrJXORwWB4RyoQIl3g/xrhXA4PKmE83RgMXyISCDC0azq+uec6lBtMcLlciFZIEauUgd9A2CXfvesyXsBP+S+i0Hyctsl4GkxIWIBEcU0iQ6CJEskwPLYTtYBvDGkn/f4gKysLAoGAJm2kpaXRNq1WS63ZR40a5ZbNXpvk0RykDGFSUhLNiCeCvDdeeOEFHDlyBBs2bKBZ6cSK/sYbb6R9V1xxBa3H/vzzz9Oa7MGAzUQZDAYkPCndmkPGV2B4zHjkqAag2mECnyOAnK+ElO+fmzaDwWAwIsuBIVBuDaGESirGkssm4PHv17kJ7ERYX3L5BNrvDx566CFMmTKFTnpIbawvv/wSf/75J9auXUv7b7jhBhrU8Oyzz9LXd911F0aPHk3rXU2bNg3Lli3Djh078P777/vl/BgMBqMWIoSQrTkSVGL8Z0YvLBqXTWusy0V8ahtPBEIGg8FgdFziVWK6NUdqlBRvzOyHcqMVFrsDCpGAjiEC5sDDYDAYHRYel4sEjYJuzREjSsVVaU+j2qGFw+WgJQkU/CjqrhAMVEIJlvS7GI/vXuUmsBNhnbSTfn+gUChoqcH77rsPUVFRiIuLozXTSWZ6Y2v2lvLUU09h4cKFVJCfPHkyTQYh61CVlZVYvHgxdu/eTWutL1++HMOHD8fLL79ct3ZFxH6y3kXWsEhbRUUF5syZQ2u3k59JrXaCv10yI3c1k8Fg+BwehweNMAbeq68zGAwGo6PRGgeGQLk1hBIJagVeuGYqKgwmWmOdWMGTjHV/CeuEkpISKqAXFhbSiUrv3r2psD5hwgTan5ub62bPNWzYMCrAP/roo3j44YepvdYPP/yAXr2Y2wWDwQgNpCI+0vxgW81gMBiMyEcpEdCNwWAwGIzWQuzfg2EB740EiQovDLwCFRYjrbFOrOBJxrq/hPVaiLi9YMECTJ8+HUqlEvfffz/y8vIgFrdtbWvevHmQSqU0O52I9sTZMicnhzoqms1mXHfddVQwv+iii+j+8+fPp7XUr7/+emzcuJEK53feeSe6d+9Oz41ksut0OkRHR1MXxjVr1tDj+ROOi/gedBDIxSULjMSygHwBGAwGg8Hum2wMYTAYjSEP8qdPn6ZRr22dKHQUmrtW7NmbXQsGg8FoK2wMYdeBwWAw2PjRPthYymCEFpG01mQ0GqkjIskenzt3LjriOhYL/WYwGAwGg8FgMBgMBoPBYDAYDAaDwWAwGAyGG8SmndQ/Hzx4MBWelyxZQttnzJjRYa8UE9cZdehtOpRbS7Cr4i/6un/UcMQI4yAXsCx/RsswO6phdpjAAQcKgRrcINUfYTAYwcFut3eoetoMBoPB8A2F2mocOKfFH0dLkKSSYGrvRCSqxJAK2RjCaBkVRgssdietoRsjb76GO4PBiCzyK6vx9+lybD9TgS7xCoztFodEtRhCP9fZZEQOpXoL7E4nxHweNDJhsE+HwWAECLvTgcJqLTYVn8AxXRH6RKVicEwGkiTqNteRZnQsnE4XKisM9F+JVAi5PLyz0c/Hiy++iKNHj0IoFGLAgAHYtGkTYmJi0FFhqxUMis6mxffnPsXuqq11V2RD2RoM0AzHpcnXQyFQsSvF8IrdaUeppRA/F36Do/r9EHMlGBk7EYOjRkMtjGJXjsHoAFitVuTn51NboFpIvRxiEUQeuhiM88GCMxiMjklehQmzPvwbuRWmuraXfzuGV6/qi4k94yFhAjujGbTVNuzOrcQLa4/iRIkB6dFSLJ7QFUMyo0JSICEBiDabLdinERIIBAIaiMlgtIfjxXpc9d5WVJrq/66eW30En940GAPTNeDzWMA/wzvlBgs2HCvFG3+cQEFVNXokKfHglG7okaiEQsxqtDMYkYzT5cS+ynOYt+VzWJx22vbt2V1QCsT4dPiN6KKKD/YpMkKc8nID1v9+CN998zd0umr07puGufMvRFpaNIQROIft168fdu7cGezTCCki71NmtImzxuNuwnotOyv/Qn/NUPRSDWBXluGVEksBXjr6KOyumgmt1WmhQvtB7S7clLUYKoGGXT0GI8JF0cbCOoG8Ju2pqaksg53RLCw4g8HomJgsdrz461E3YZ3gcgF3f7MH6+8dg/RoNmVleMbmcODnfQV4eMWBurZjxQYs+GIn7pvUFTcNzwiZ4AyXy4WioiJUVVUF+1RCCrVajYSEBJYdxmizMLro6z1uwjqBuFjM/3wHVt81CslqCbu6DI/ozTa8tf4EPvrrTF3b7twqXP3eNrwzqz8m92L3JgYjkikx67Hwn6/rhPVadDYz7t25HB8Pm41osTxo58cIbSorjXjx+Z+w/e9TdW3k5107zuDVN69H9x7JQT0/RmAIjZkmI6hUO0xYX/qL1/71Jb+gs7wHxDw2KWF4+P7YTViV/1WdsN6QM6YTKDEXMHGdwYhwSBZWY2G9FtJO+pk9PMMbLDiDwei4VBit+Hlfocc+pwvYdqoc6dGygJ8XIzwo0Vnw31+OeOx77bfjuLhPElKjQmPJo1ZYj4uLg1Qq7fBiMgk2MJlMKCkpodcnMTEx2B8RIwypNFlxsEDnsU9XbaeZyExcZ3ijzGDFx1vqhfWGPL7qIPqmqZGoYuugDEYki+uVVvcA31pO6ktpHxPXGd4oLtK6Ceu1OBxOvP3GOvznuaugUknZBYxwQmOmyQgqDqeD1sr2Bqmh7XC5R3ExGHXfD2c1juj3er0ge6v+QbaiJ7tgDEYEQ8Tz9vQzOjYsOIPB6LjYnS66NWf5zWB4o9xohcHieZ5qdThRrDMjNUoaEuNcrbAeHR0d7NMJGSSSGtGKCOzk2jCLeEZrsdq9jx8Eo5f7A4NBOFGip0453mqwk2cQJq4zGJGL2d78PMPqZOtYDO/s2H7aa9/hQwUwmaxMXO8AsOJDDEj4UvRWDfR6JXqrB0PCYxkjDM9wAAi5Iq+XR8wL/oIWg8HwL+dbDGWLpYzmYMEZDEbHRS7mo2u8wmv/BVlMiGR4R3CeWspCfmgsd9TWWCcZ6wx3aq8Jq0PPaAtqqQAqiee62BwOkMGcTxjNID1P2RABNzTGEAaD4R8SpCrwOJ7/zuV8EdRC5lzB8I5MJvTax+dzweUSxYQR6bDMdQZ4HB4GRY3ExrK1MNr1bldEzldioGYEuF4Gm0jAYi+H2VEKk+0sRPw4SPhJkPDjEcoWepW2MhzTHcAp41EkSdLRS9UfGkEMeNzmBa6WYnFYoLNV0ox0nU2LroocxIkToRSom+wr4ysxNHos/vRSWqC/ZqhPzonBYIQuRDyXyWQereFJeySL6+XlehSX6FFSokVighqxsQpERclD3oadCNpkI58N2Xxt29+a92DBGQxGxyVGLsKSGT1xzQfbmmSPjewcE9F2vuSZvlBrRl6FCWUGCzrFyhGnFCFK5j1oNdiYLHZ6zj/uK0B+VTXGdotD3xQ1En34OZFSAYVV1fj9cAn4PA7GdY9DvFIMtbTpAla0TIi0KClyK5paesbIhYiVh9a15BC1j8GuCcNnxCtEeHRad9y3fF+TvtlDMxAt977wHfaQjEtDEVB+AjDrgPgegCwWkDRdswkVSCY4ser/YXc+/Xla70QaYBenFPvsPUjG+dlyIzYeK4VKKsCFXeMQrxBDJm46D0mPlkIq5MFkbZqd2itZCY3Mc+AGg8GIDGJEMszudAE+OrGlSd/dPcYjVuw9ADjcsVRbUVmmx9njxXDYncjomgB1tALSEHt2bkiF0YTcKi1WHTgCl8uJi3p1R7pGjWiZ74JXS7QGnCgqx84T55AYpcSQ7FTEqxQQCpquaQ4cnOX1OGPG9mBZ6x0EJq4zKNGiONzdZQnWFq3A7sqtdaLopITLEC2KjdirVG0vwq6Se6C11Nuai3nxGJTwHhTCzghFCs15eP34ElQ76kWsHwu+wq2dHkKWvGu7AyGIsH5AuwOfn30LLtSscv5avAKpkkzMy7oXamGU2/4CrgBj4qbiiG4viiz5bn1TE6+CWsAyjhiMSIeIpsnJycjPz3cT2ImwTtojtd56fn4FHnj4GxQUVNW1ZWTE4Jmnr6BCeyhitVq9fk5CoTAo79GRgzMYDAaQk6LC97cOwzO/HMbOs5WIkgoxd0QmrhiQgugQXuBpr7B+qECHGz76h1qb1zK8czReurIvElS+Exp8RbXVjnWHirHomz11gRDf7jiHFI0EX918gU/s10mQwX9/Pozvd9fPKf639ihuHpmJW8d0RlSjDBEiyLx1bT9c/f42N3FExOfi7VkDqCjPYDAiFx6Pi4k94xEjH4Tn1xzB0WI9Dcq648LOmNAjHgpxhIqjdgtwdgvw9SzA2uD5ue91wPgnAHkcQg0ipn/812m8+tvxurZl2/PQN1WNd68b4JNxj5QCufPL3fjnTEVd29M/Hcazl+bgor5JkIvc56RxChHeurY/5n22A44GJWqIGwIZi0M52I3BYLQfKV+EGzsPRydFHN45ugHnTJXopIjF3d3HoX90GgQ+SmALNUx6Mzav2Yc3Hv0OdlvN8zPJsp5110RMv24YlJrQcy8uMxrx3G8bsergkbq2pbv2YXK3znh84ljEyNt/zgUVOtzy7nc4W1q/vsfncfHGvBkY1DkVQr779yE6So6Fd0/C66+sdWtPSFBhzk2jII7UZxCGGxwXmdl3EHQ6HVQqFbRaLZRKZbBPJySxOi0w2g3U6lvKlzdr9x3u2J0G7Ct9DEWmdU36xLwEDEtaCnGIZbDrbVq8deI/KDSfa9In5clxf7fnoBG2T8wuNRfhmcOL64T1hoyOnYKLkmZSQb0xVdYK5JlOYVflVup4MCR6NKKEsZDyQ29QZrQcdt9k1yLUMqJDhcpKI+65/yucOVPWpK9Xz2Q8veQKqJSSkPt88vLyvIrYqamp7f682voegRD9W4PZbMbp06eRmZkJsZiJM229VmwMYdeiNVSZrFQg5XI4iFWIwItgKz2S9T3t9U2oMjWt9ThzUCqeuLgnxB4yJIIJyQQc+9IGNwGilmk5ifjfFb0hayRctJY1Bwqx4ItdHvu+nn8BhngoE0DOh1zP3w8X0+CMnGQVJvdKQJJacl7b+EAR6mPKJ598gkWLFtG68IGGjSHnh42lLQ/Osdqd4HM5Ps2EDkkqTgFvDQYcHuoFT/kfMHh+jS9+CHGwQItpr2/22Ld4QhfcPqYTDZZoKw6HE2/9eQIvr6sX7xuy7u5RyPZQhsZsc6BQW41VewpwvMSAYZ2iMapLLA3SYG4j4Qu7b7Jr0VpKzXo4XE4qqEeLQtuJsL2cPJSPO6a/4rHvmc/mo/+ILgg1/jxxCvO/Wemx783Lp2Ni1+x2Hd9otuKJr3/Fr3uajiFEVF/50GwkR6ma/p7RjJJiHdat3Y/SUj2Gj+iCnr1SEBunDNt5gT958skn8cMPP2DPnj3BPhWfzUFCY7bJCBmImE7EWbUwOqKFdYLFUYEi0+8e+8yOIlTbCxFqGOx6j8I6weQwQGurj9BtK4d0ezwK64St5X/AYNd57CMZ7TnqgZideScuT52NFGkGE9YZjA4GEU1FIhGtn0n+jVRhvVZc9ySsEw4czIe2qqlFbbAhQQ+eRG8CaT9f7XN/vgcR0Inwnp2djaysLPoveR0MYd0faC3VOKkrw57yfJzSldPXgeS5556jC4REPGmOb7/9Ft26daOTi5ycHPzyi+eSLwyGPyC230QQJdlrkSysE06WGDwK64TvduVTW9tQY/vpCo/COmHNwSJq597e4Ir3Npzy2v9/m0/DbLM3aSffFWINf+PwTLx5bX/cMroT0qNlISOst4Q5c+bQezTZBAIB4uPjMWHCBHz00UdwOp0+fa+MjAy8+uqrrf69Dz74ACNHjoRGo6Hb+PHj8c8//7jtYzAYcMcddyAlJQUSiQQ9evTAu+++68OzZzCaLzNCxpCIF9YJR9d4FtYJm1+psYsPMYjTiTc+33YWpYb2jSHk9z/ZctZr/497Pa/vkUC2zBg57hrfhY4h1w5JR4pGyoR1BqODQSzgEySqiBfW7TY7Vn68yWv/sjd/g0Eb2LWK82G0WPHxP56Dbwkf/70LOrO5Xe9RaazG7/tOeOyz2h04fK7EY59MJkZmVhzm3zoOjzx+CbWDb05Y9yUGmxH5piIc05+m/5LXwWbMmDF1cxqypkTmAm+//bZf35O8FxHsPc2vLrnkEvibyF31ZjDOg8NFBgvvixUWh2fRJJg4XE0XlBpicbZ/IU5nr2rW2cDp8u0CD4PBYIQjRmPz91tTdfsWiPzB+cRzX4nrbe0nwRiRGJBRaNLhoX9+wqbi03VtI+Oz8OzgaUiU+n/itX37drz33nvo3bt3s/tt2bIFM2fOxLPPPovp06fjyy+/pJORXbt2oVevXn4/TwajI0Eyrb1hdThhsbf/fuxrdGbv8xAiunsT3luK3eFCVbUXsQig9vk2hwuR6rA4efJkfPzxx3ScLC4uxpo1a3DXXXdh+fLlWLVqVdDHxz///JOOEcOGDaOLZc8//zwmTpyIgwcPUpcZwuLFi/HHH3/giy++oCL+r7/+ittuuw1JSUm4+OKLg3r+DEZEUeY5O5uiLwScoTeGVDQzdzKY7V4TPFoKMWUl1vPeKNa3T3hhMBiMSMBqtqMw13tiXklBFawWci8NHRdGu9MBg8X7+hrps7czGNVGHDibmctUGEIreabMUom3T3yBvdrDdW191d1xa6frECPSBPXcbr75ZixZsgQmkwmfffYZbr/9dhqYS+YRkUj4hHMzGD6Gz1GAx/E+WEj5afTfUBKTZXw5JDzP9Qw54CBaGNvu9+imyPHalyLJhCjCHQ0YDAajJWiaqUNF6lUpFKGXNXO+2uW+qG0eiPcIJ0iGemNhnbCp+BQe+udnv2ewkyzCWbNm0YxDMqFpjtdee42KO/fddx+6d++Op59+Gv3798ebb77p13NkMDoi3RKaWtPWopEKIBXyqVAQShXcBmV6v4d0iZdDLm6f+KuU8DEqO8Zr/4Tu8ZAJIy8Aqxbi+JOQkECFanLvffjhh7Fy5UqsXr2a2rYTiG37vHnzEBsbSy0Kx44di71799Yd4+TJk5gxYwbNfJfL5Rg0aBB+++03t2ySs2fP4u67767LKmnI2rVr6f2f/C4ZDwoL6zM9ly5dSoXyvn37UoeTDz/8kGbV//77725BWrNnz6bvQ8T1+fPno0+fPk0y3BkMRjvJHOG9L74XwBeH1PhBuKhPkte+0V1joWjnGCIV8jA4w/s4NaFHaJV8ZDAYjGAgkgqQMzjLa3/XvqmQykU+d05qDwqxGJO6dvbaP7FbZ6jaaa8uEwmRpPGe+JCTlohQgWSoNxbWCXuqDuOdk1/4NYNdr9fT9SVSwjExMRGvvPIKfe5v6JBInEzJnIY4UhIbeOJKSQKFvUHmFGT+QYJ3yRyjYab7TTfdRJNELBZLXTnJfv364YYbbkCowMR1RodFxItBpnK2x74o0UA4IMGKc5/h0zNvYGfFX6i0liPYKAUazEi6zmPf2LjptNZ5e4kTJSFZku5RvL8s5QbIBYGxN2EwGIxQRq2WYtSorh77pk7pA7VKQh8ASbQm+ZfUIg82RNgmD8GeIO2+Etf9/R7hRJnF2ERYbyiwk35/QqKEp02bRu17z8fWrVub7Ddp0iTazmAwfEuKRoLuiZ4F9jvHZaPCYME93+zFvd/uxd+nymkt4WCTpJLgwq5NA3mJPrtkRi9qydweSD1DYu0uEzYdJ6JkQkzvnUiD1zoSRDwn4vT3339PX1955ZUoKSmhgvvOnTupCD9u3DhUVFTUBVRNnTqVCt67d++mAvlFF12E3Nxc2k+OQyzbSTYJEc4biufkeeXFF1/E559/jo0bN9Lfuffee72eG9nfZrMhKiqqro1ktZPFs/z8fCrsrV+/HseOHaMZ7gwGw4ekDAbkcR67HOOfwl8FwMKvduORFfux71wVLbsRbHJS1Oia0NRuWcTn4p4JXSAXtc+WRCUV4uGpPTyWlcmKkaFXElvHYjAYDLIeM/6KgRBJmpbf4/K4uOqWsdj2+yE8t3ApPvjvjzh7rAimIM9DuBwOpvXshlgP60xRUgkuzSH3/vZJnHEqOe6/dLTHvgu6pCFeHTrlArQ2fRNhvaHATvr9BXGp+uuvv+jz/rp167Bp0ybqdNgcpFQUEcU9QYJ3H3/8cTzzzDM4fPgw/vvf/+Kxxx7Dp59+Svtff/11Wl7ywQcfpK8feeQRGmwcSgkgYRX6/fPPP9OJ4L59+2g0w+jRoz166jMYLYHHFSJdNRPgcHFa+zG1ieeAhwTZJKQqb8Z/jzxGbdAJe6q2QSOIwZ3ZjyFa5HkS4yssDjP0di3sThtEPDEV1HmcmkUm8m8f9WCoBBr8WPAVCs15iBLGYnLC5eih7Asxr/22LSqhBvOz7sNvxT9iW/l62FxWpEgycFnKbPovg8FgMAC5XIw7b5sApUKCNWv3wW53QijkY8ZF/XDlFYNQUlLoVnucCMskGy2YNcSJpSw5B7Lo7encfGE5G4j3CCf0Nku7+tvDsmXL6ESH2MK3hKKiIprt2BDymrQzGAzfEqsQ48PZg/DUqoNYd7gYJMFQIeJTYT2aCMlv/uVWg31Sz3j855IcxCr87CBlqqjZXA5ArAYU9feEaLkIz1/eGyt25+PDTadRbrRgQLoGD0/tjq7NZOK3htQoKVbcPhz//fkwNhwvpYtpE3vE4/7JXZES5dm9K9IhGRxk/WPz5s00A5yI6yTLnUDEcLIeQqzja7PEyVYLcSBZsWIFXQAjtdCJEE4WVRUKBc0oaQgRykl99E6dOtHXZH+y9uKNBx54gNq9NwzKeuONN+h5EAGfjPdcLpc6p4waNcoPV4bB6MCoU4E5q4FVdwC5/wZByuPgmPQcPs2NxZJ1f9ftuvTvXNwyKgu3jukEtdS/85BSvYVas5OgK+LCEiWrH7MSlGJ8cuNgfLrlDL78OxcmqwMXdovFfZO6ITPGuyNYa8iOl2P5gqFY8tMh7M6tosL9Zf2S6diaoAodi2MGg8EIJvHJGrzw9W14+b5lOHO0Zq6fmBaNO5+5HD98vAm/fb+jbt/vP9yARc9dhdHT+0LsxzGEBGVaHSWwO/XgcvgQcKPA59UHRSWrlFh2w9V4d8vf+PHgUVpKZFr3rrhtxBCkqFU+OYfBnVPx9vxL8MIPG3G6pAJysRDXjOiLa0b0QZQ8dOYhRkfz7oem8/S3J2udiN6kfCAJ7iV8/PHHdD7gCVLq6quvvqLzGDI/8MQTTzyBl156CZdddhl9nZmZiUOHDtGyhsQNi7hpkXJTRAMm85dXX32VBu8SB6+GEMv5xok8JMmJJJr4m7BZ4fzuu++oZz+JYCAR3CQD7MCBA8E+LUaYI+JFo5PqZqTKL4HNZQSfI4bVJcR/Dt0Hm8u9XlOlrQw/F3yDq9PmUdHbH1RZy/FjwTLsqtwKJxyQ8mSYlHA5BmqG12WMS/ky9FD1Rao0E3aXnQruSoHap+ehFkbjkuRZGBc/ndriC7liKEIoY71m0C2ng6mQp6EDL4PBYASa6Gg5brt1HGZefQGqzTZIJQKo1BIUFRa4CcsE8poIzqmpqX4VmMnzEXmIJRt5uCRbw/cj4j45h+b2aS+BeI/2QM5Jq62mdrgqldSvmZAKgahd/W0lLy+P1uol0cQkIJXBYIQeyWoJXr6qL81KJzXWSdZeboURMz+oF0VqWXuwGFcMSPWfrS2xfiw9DKy8Ayj4N/sguhNw0RtA8gBAUHMfiVOKcfPILFzSLxlOpwsSIc+nYg3JOOwSr8DrM/tB969Ao5IIIA+hQutWu5NmgZJzJQEHgZj3kPGK2L+TzPTo6Gi3/urqamoHTyD9xH6RJCWQrHTyTED6azPXm4NYONYK6wRi9UiEfE8899xzNICL1GFvOMYQcX3btm1UzE9PT6cZ8MRBpbEIz2AwfEBMZ+CaL2sCopxWOEUqfHPYhiXrDjbZ9b2Np6j7h7/EdYvNgX35Wjz43T6cLK2ZA+Ukq2hAFgm+qs0mT1RJcM/ELpgzLJPe2xRicn/33fxALOChX5oG/zd7EIwWO33GJwFrpD1ksBoBix7gCQFpvfMHg8FgBAoen4fsXil49otboKs00fuxVC7G8vfXuwnrtbz+8LfIGZKFpHTv5ZvaAxHUq6q34mTFElgdNWK/Sjwc2dFLIBHUO+umalR4bOJY3DlyKH2tloghFvhujiCXiDCieya6p8TBbLXTbPgYpRT8EHJfdDickJ4nsfJ8/W3l1KlTNBh38ODBdW0qlQpdu7o7ehJbd2L1TrLVyTogKUd16623NjkeWSMlc5i5c+dSzbcWMn8hx61l6NCh1E2LBA2T4N4RI5qWxiH29I3nGmRfsvbnb0JjlfM8kItKFghfeOEFesFr6dGjR1DPixEZ8LgCSLhJqL317Cz9tYmwXsvuqm2YnnS1X8R1vU2Lj0+/hjOm43VtJocRK/I/oz+PjJ1Yl8FOUAh8E5nlDT5XAI3QPwNnezDbi1Fk/A25+q/hdNmQSJwGFFdCKkgO9qkxGIwOiFgkQGKi2i06srGwXgtpJw93/hKZycOrt4zxhhnz5P39LXQH4j3aQnGxFqvX7MNvfxwEj8fFtCl9cOGY7oiN9U8AWYxIhpHxWdQCvjGknfT7A2IXTEQRYhlcC/nuEaGDWGiR72njyF6SxVhcXOzWRl43zm5kMBi+g4gKtcICyfZ7Ye0xr/t+tPk0hmZF+1SIqEObC3w0GbDo6tvKTwKfXQTM3wgk9KprJmJFvNK/QTtKiYBuoQQJJsitNOHjzafx+5ESWh/4puGZGN0llgYd+AtikUiyOIhwTgRvImg3Rq2ueQ4hC08kqIpktHfu3JnaMF5xxRVerRgbImi0OEkEfU81m8mxibhOarmTGoi1EBGf1IknmfK1WSKkf8+ePfR3mLjOYPgBIs7+K9CWaM146bdNXnf9Zsc5as3uD86UmzDz/W2wO+vvGfvztbjy3S345a6RSI+uf94V8HhIUPlXqCClRMgWUtgtQMUpYNPLNW4DxNZ/5L1A6mBAFnrrbgwGI/JRRyvoRijKK8dPn2/x+gx84J9TfhPXDZb9OFx6m1ub1vwX9hXNQt/EbyHi19c7Fwv4SBD4xjHLG9EK/6zRtAeH0wmr1Y6yKiM4Qj76qLp7tIbvq+4OlZ+vz/mYNWsWtW8n8xAydyFOVp4gcxsCcbkaMmSIW1/DtSqn00mt6EnbiRMnPB6LrFmRuU9DSKY7sZD3N2FRc51YWpLFYvJhkKL15IOZMmXKeTPXycKhTqdz2xiM82F2mLz2kWxyJ5ouMviCKlu5m7DekLVF30Fnq0RHx2wvwY7ihThU8SwMtlMw2fNwUvshthbOgsmWH+zTY0QYbAxhtIXzRUb6K3KSBCI2FtYbZsyHQs33UBDW77p7KT774i8UFFQhL68C776/Hg8+8g1Ky/xTl0olkuDZwdOokN4Q8pq0k35/QGy69u/fT0WN2m3gwIF0okN+biys10YEkzq9DSEiDWlntB42hjDasmhSbfN+rzZZ7bCTDHNfQwTUA9+7C+u1OB3Ahv8BlprFj47MmXIjLnp9Mz7dehbnKqtxuFCP+5bvw/3f7aNWyP7gjz/+oPfyyy+/nAZLkTIdJHCNLB413GJiahY7ycLTnDlzcOmllyInJ4cuNJ05c8btmCTYrq3PIv/73/9o1siaNWvomNIQkslCtsYLaGS8IYtijJbDxg9GWyCufsRq3Rt6s+cEkvZistjx1voTbsJ6LUarg5YScXjo63AU7gXeGwns/wbQ5gH5O4FlM4FNLwLV/l/8Z3Qc2BjCaAtOh4uK6N7wV911q6MCpyqf9dJXBL1lLzo6JNjVaLLiTEEFDCYLDFoHbkq7mgrsjYX1WztdB7nAP8EBWVlZNBi3YdlBrVaLY8fcg8NJ1jmZn5AkH2/Cem0JQuJuRTLiG89tSGBxLSTZ+siRI9iwYQOdgxAr+lAi9FKKPEAuMoFYnL388svIyMigfvxjxoyhHyCpHeaJZ599Fk899VSAz5YR7nRV5OCnwq899qVJO/mkrrkniszexWGSwW52mNHRqbLshc7a1ObM4ihDrm4ZsqMWgscJrSwXRvjCxhBGW/AkWramv62QhfJgZcyHA8Q+69d1B1BS2lQ8On26DHv2nMWE8fWZmb4kUarEa0MvQZnFSGusEyt4krHuL2G9Nkq3Vy/3/x/iYkDshGvbb7jhBjrhIfc6AnGJIrWsyDM2yToklr87duzA+++/77fzjGTYGMJoLSqJEFN6JVLR1hMX9UmC0h/26DYTcPr/27sP8KjK7I/jv2RqJj0kIYXeexVQQAEboKKsrm3toqwdxEWwLCqubdfe2yq6Fmxr2cWyWLCt/rGAggiIoAiEEkjvZf7Pe7OJCZkQJMxkJvP9PM8Y5t5J5nozmTPve+57zodN79/8RU0JW1eMwpUpL3z7f9aooKzxxQ9L1uzQzzuLlBLravFkuEmem3htqoaYySPzPnLMMcdY79dmcspc7DR16lQryd2rVy9t2bLFKgFvkukm2d2zZ0/985//1JQpU6yV53/+858bJbbNXIqpYnLKKadYvdtrE/PNue222zRv3jyrz6L5GeZYDdML0dxM70MTQ2bPnm2tVDFl4c0k2NNPP23N4WDvET+wL0x8mNA7VYtWZPncf9wQ/1T6Kyyr1Ncbm14I8vn6nZo2tqtVAj5sFe2Q/j1TqvJxgcPnD0nDz5Wi/FNVAOGHGIJ94Yl1q0ufdP202ncMGXTgr62D9qdqb6mKyhuvwK6VW/q5kqMnKZxVVlZra3Z+g2R7YbZ0VvuTVd2xQhUqV7Q9ylqx7q/Eeu0ck+mDbj7rm1xsamqq1TPdjFHMuGNfmLztZZddZiXkJ02aZI2HzBxUTk6OZs2apWXLllnjj5dfflljxoyxxhS181Ym2R8MWnXl+ty5c62Tv6ebuTKhdkBoSgqYq7aHDx9uXaVg9r/00ktN/vyrrrrKuoKi9mb6TwLNMaXQ+8UOabQ9Ujb9vsPZirH7p7zGnvqmm+d2RDrCfDVPmX4peLXJ/VuK3lJFFVf8Yv8hhmBfmOS5SWL6Yrb7M7nekv1tXX5+sVUKvimmVHxxcfNlc/eVSaR3j0vWkHaZ1ld/Jtb3lunBa3ry1ho9erSVNDHJ9MGDB1sDmNdee61Rkh57hxiC38r0pD1+WKbPJG16vFuTB5qyehF+eGKnlPBrP8NGYtMku/97iwcz0/998aqGbTPq+9c3W1r8HCaZbir0mcS1mVz64IMPdO+99+r111+3PjuYuY8333xThxxyiM455xwruW4S5D///LO18sMwE06JiYnW+7lJsE+cOLFBexBj/vz51mp20189JSVlr4/voYcessrLmzLz5jhrb6bkey1zUdaIESOsKimmhZ8pH3/TTTfpggsuaPH5CSfED+yLaJddlx/RS1E++osPyIhTvwz/tEBy2iP32CokMyFKLnvw9KttFWZl+ramxyHatDSQR4M2jhiCfZHQLkaXzD9ekbbGqcLREweoXXv/xJAIk++wNX2hp9veSeHOVC4zFc7qMwn24vxqlWbb1MGZqUxPml8T67XMWMNc7Gsu/jUtn8aMGaO+ffvK7d63FlnnnXee1Z/d5HlN1S2TNF+wYIG1cr20tFSnn366VZXLjGuM6dOna8KECTrjjDOCZo4zwuurkVaA7NixQzt37tzjY8xVCKa82aGHHqqPP/64QdN6U4/f/CLNgG1vmLLw5koIk2g3V1YDTb5WKnKt/upLti9SYWWBesb009HpJyvVnS5HpH96N+WU79TfVl+loqrGq1WGJ4zWyZ3O90uv91BRXV2uZTtma1txw5K1tTz2jjow/Wm57Xs/SYTm8b7JuYD/ep/vT+YKzx9+8N1axDCr2cwKtXCVm1usK2Y/rw0/7fC5/4DhXTT/+hPk/t+qGvNBfsOGDdaH+n0dKISLPZ0rYgjnAr/dxl3Feuzj9Xpj+RaZRQC/G5pp9fbumOTx3+nM+ramXK0vpzwv9TlK4Swrr0QTbl+i0grf5c3PP7ibrjm6YWnG+ogpTSOGNI9Yir1VWVWtn3cW65731uq977fL47LrjFGdddKIDkqL99+FnR+s3q5zFvxaJra+f106VgMz4xXWTK/1e4c2vf/4R6VBJwfyiNo83jc5F/jtykor9Mu6bXry9re06ssNVsL9+PPGa8ykAUpK8U8ezeut1ub8J7XBR2n4CNk1PPNtRTm6qC35reOC0rIKbdjcdP60S0aSotz+mWdsTlFRkTXPaaofTps2TeE4BmnV+qDmSum9uVrarFQ3E8Jr1qypS66bfl7mimtTbgzwxyryQ5InakjCKFV7q61S8FE2j3+vEnMk6cIeV+mhdbc0SLB38fTQlMw/hHVi3YiMdKpz3ClNJtc7xp4gl813iwgACCSTQO/YsaN1JaW5mRVn5ubPsuy1K+Z9lYb354r5UBEfH6UpxwzRvfcv9rl/6nHD6xLrANCaOiV59Oej++ni8ab8YoSSoh1y+nvVX1JX6dj7a8rWVv+v9LnJ7B90qdRxpMJdosep44d20HNLN/rcf9yQjIAfEwDszm6LVPfUGN16/CDllVYoMiJCydFO2XysRNyfBndM0MXje+jBD9epdvmWqcYy/9j+6tLOv/NoIcGdIHU8UPrl88b7IiKlzBGtcVQA0IDL7VCPAR109b2nq6SoTJH2SCUmx+5zye+9ERERqdSYY1VQtkLZxf+u2x4Z4VbflAfktKWH/W/JxHC7zaZKHyu1bZE1+wLFlGk3VcZHjhxpJZ7nz59vbT/uuOPC9vcUEs03zRUCppSYqeNvJqtNQt00szdOPPHE1j487GcV1RUqqMxVYUWB7JF2RdtjFe9IDPh5NsEjkM9rnq9DVBfN7nOLdpRlKa8iR2nuTCU42inWEeZX+v5PrLOnUj2HaftuCfYYRw9lxByjiIjwTh4BCB4mkR7IHufmucwVo02tmA/nfuu1MXbsmF56+z8rtHZtTZ/YWiMO6KrevRm0ATCXsOfX9EYtzavpMR6dIkUFfhxiyuz6c5VhI65YacAJUteDpa0rpMoyKX2IFJMquan45nbYdNGE7lqyZru25JU2OHVnHNjZKnsMADnF5dpZWK6iskrFexxKjnEqxhX4izfNinVzC5SkaKcuGN9Nvz+gg1ZsypPDFqH+GXFKjnXJ4wzvMYjFkyRNuVt6YmLN54v6Jt1aE2sBhL3skiLtLClWaVWlEt1RSomKVpQ98DEkOi7KugWK05aiHu2uV6eEi1VYvkr2yDhFO3rKaUu1FtqFO3PhXGZqvDZm5cirXwuQm0se0lPiZLcHtuu3aQllFkCbRUXDhw+3Ko0nJzdd2r+tC5lPOSaZbiaGTU39kpISqyT8+++/b/UUQ9tRVFmoL3Z9pEVZL6q8usza1s6ZqnO6zlRmVGdFmqs62/jkf6KznXVDYy5bsgYmz1N+2Yn6Of95VXvLlRk7Ve3cB8htr+k1CACVlZUBXTUezivmQ0lycqz+csMJWvndZr351nLrCuDjjh2mXj3TlJQU09qHB6C15WdJb82RVr9hahTWbOs2QTrufim+g9o8p0dydpES21bpxf2lQ6JHL1042kqw//vbLCVEOXT26C7q2T5GidFM/AHhblNOsS5/Ybm++CnHuh8ZIU0dkqm5k/sodQ89yduKWLfDunVN9n/P15CU0kf640fSilek9R/UfK4Y9UcpqXvNxXwAwtq63J264N3X9UNuTflvZ6RN0weO0LkDhqtdVNuvAOKwJVi3aGfP1j6UoMwVuV0Ode3QTnkFJSopq5DLaVdiXJQcdptfKwvsbujQofrqq68C9nyhIGRmWx0Oh3VlhLmhcX+K0qrtKq/aqWpvpVy2dnLZUmSLDL3equsKV+nVzf9osG1n+Xbd98ONmtPnVrVzcUVnuDOv7xTPWCW5R8iratkjWSkCtERlZZV27irUrl01q52TEqPVrl2M7P4uQduG+p2H84r5UEywjx/XRweO6m5VPHa1wmoioC0pqahSdkGZdhSUyWGPtFbptY91K9JkFUJtxfo7V0vfv95wu5kAf+V86eRnpGgufg13ZoX6aaM663dDMmWzRcgVop+VgKBRVigVbZcKd9Rc4GOqhcSmKdSYODj9H19p1Zb8um3VXumfyzbL7YjUn6f0U5SDz+dhzQw8zMVrYy+vSarbnJK97Y9NAX8qrChSXmWhCiqK5LG7Fe8wlW9jQ+6kbynM1ymLXtCOkl/nsMqrq3T/N58rxROtM/sNtdp8IHyZsbVJqKckxaja67VeD4FMqqNpfLoLcVXeCuWVfquvt89SeXXN1U2REU71SrhUHWKPl9MWOuXECyrytGjLCz73lVWXaE3BCo12HRbw40JwCsWLR4BgU1xSrqVLf9Ttd76l4uJya1u0x6UrrpisUSO6KSrKGXIr1ndPrBvmvtluVnWTeIZBf3Wg5XKLy/Xil5t0x3/WqKyy2tpmkusPnjZMQzslyuHnHq/7lSkFv+pV3/s2/rdmP8l1/E8gyy0DbVbhdumjv0pf/F3y1sQQJXaVTnlOat9PoWRbfmmDxHp9L321SReM765OSbxvwMqQsFId2A92lefq0R8X6oucb+u2dYvuqD/1Pl/t3aFVonrVrh0NEuv13bf8M03s3FPpMaF30QD2P5NQt5FUDyohNOMBX0ors7R063l1iXXDlMpenXOHckqXhdRJq/RWantZVpP7fy5aF9DjAYC2bvOmXZr/l9frEutGUXGZbvzLa9q0eZdCjSmFvntivZbZbvYDAPaPL3/O0c1vfl+XWDeyC8t1xt+XanNOSWid5rL8X0vB+1KcHcijAYC2zXwmX/6ctPSxXxPrRs4G6aljpLxNCiVb8pqOeRVVXhWVMQYBgP2lpKpU//jp1QaJdWN90S+6ZfVDyi33fbFTsPp+5/Ym92WXFKusujKgxwNg73HpZAtVVBeqrHK7dpR8bP07JWqsPPYOctkDUzYwq/AdVavC574fcu9XgnuwXLbQ6Etvi7Ap2dVeO8q2+tzf0dMt4McEAP6Un1+i7OwCffZ/66x5pQMP7K7UlDjFxfm/3UFpWYUWvvh/PveZ/MILLy7V7Csmh1TZ7OaS5yTXAbQl2YVl2rSrWB+s2aFol12H9klV+ziX1fPU33YVlunO/6z1uc8k2xetyNLFE3ooZLhia0q2NpVg91ASHkAbU7BVyv5BWr9Eik2XehxaU5LdEYDeroVZ0qd3+95XvFPaurKmJ3WISItveuxmj4yQx0kLCQBtS35FtraX/qjNJWuU5MxUR09/xTlSFBnh//e7vPICfZLtu+/zL8VZ2lWepwRnnEJF78SmV9onuaPkspG+A4IVf50tUFFVoM2Fr2vVrlvrtq3LfUjt3AdqcMotcttT5E/V3irll3/X5P6iio2q9pYpVMQ5EjQ5/UQ9/dN9jfY5I13qEze4VY4LAPwhN69YT//jE732+td1255Y8JGOmjxI5507TgkJ0X498aWlFfp5469VT3b388Zs6zGhlFy32Wwt2g8AoWJ7fqmufOVbLVmzo26bWUV+1eQ+OnVkJ8VF+fe9u6yqWj/t9F0pxFixOU/V1d7Q6b1u+vz2Okpas6jxvswDavYDQFthVoY/d7K0beWv2yJt0u8XSD2PkBx+vtC3skwqyWl6/47vpd6TFCrS4lzqmRqjH7YXNto3dWimUmJoaQeg7dhVtkXP/TxHBZW/zifZI1w6tfNNyojq7fcEe0l1qapVr+rJbnLK88wSPb8ew/7UP7m9El1RyilrXAXlosGjlBrl37lBAPuOsvAtUFq1tUFivdbO0s+1pXCRvPXLW/mBCVbxrqYTzjGObrJFhNaH+N6xA3VU+omyRfx63Ue8I1EX97hWiU5WjABoO378cVuDxHqtN9/6VqvXNN0iY3+JcjvUvVvTyYLu3VJDrue6SZ5HR/seeJjtJNcBtAVer1fvfLe1QWK91i1vrdamnGK/H4PLblP3lJgm9w/rlBA6iXXDHS8dfbvU4/CG2zuMlE5cIEWHVu9GAGhSRan08R0NE+tGdZX08tlSgf/HIbK79/y+mtpfoSQl1q2/nz1C/TMarpScNCBNsyf2lsfFuiYAbUNJZYEWbbmrQWLdqPSW6aWN16uw0v/tBaNsbtkimk5ptXMlKJRkRMdq4dEnq1Psr8dt+mqf23+4ftejn2yRpO+AYMUnvBbYVPB6k/t+yv+HMmKOktueKn9Kiz5c63IfVJW38dVNvRIvkzNESsLXirHHakLq0TogcawKKvNkj7Arxh5vJdgjTKlGAGgDSkrK9cJLvkuyG6Yk+8ABHRUd7b8LpMyK9JNOHKX33l9lrS6szyRETvr9SDmdofUxwW63KzMzU5s3b27Qe90k1s12sx8A2kI5+Mc+3tDk/ueWbtSNxw3w62fnpGinlTA484mljfZFOWya1D9dIScuQzrhcaloR82KSle8FJNCSXgAbYt5jzP9zn0xCfYNH0tJfm7JZ8rPHzxbentO430x7aX2oZVcNzolefT0uSO1s7BchWWVSvA4lBzj8nslGQAIpOKqPG0q8V1Ft7S6ULnl26zy8P6U4IjThJSD9O72Txvt6x7dSYmOeIUSM2brk5Sil6ecqp0lxSqprFByVLSSozyKdoTWghdgT66//nq99tprWr58udoKLn1pgdKq7U3uK6/Ok3cPJUr2lyh7ukam/V1u+68TWLYIjwa0u04JrgEKRaYEfDtXqrpE91QHT1clOJNIrANoUyoqqpSfX7rHXuzmMf6WmZGoG284QfH1+gQmJHj0l/knKCMjtC7OquV0OtWxY0f17NlT3bp1s76a+2Y70FqKKwu1o3Szfilaa3019/09aDGD9Pq3Pn367PF7XnrpJesxbrdbAwcO1JtvvunXY8S+q6qWckvKm9y/Pb9MVU31Dt+PBndM0M2/G6joer1kOyRG6fnzRykjwa2QFJUoJfeSOo6SUvuQWEdIyCsu14/bC7VsY45+3FFo3Q+EBx54QF26dLHixqhRo7R0aeOLbRCEqiulyqbHISpsep5rvzEl6AeeII29QrLV+4ye2k86+99SfKZCUbsYl3qlxWpY50R1S4khsQ6gzanyVuxxf2mVf8e5htvm0imdjtG4lFGK1K8XE/eP66k/9T5f8c5YhaL2nhj1a5eq4e0z1TkugcQ6mq0isbPsF20uXqOdZZus+61t/PjxdfNPZnzQr18/Pfjgg359TvNcJmHfWljC1cJV41lFvice27lHyB7h/54YkRF2JboHaXT6syqvypFXlXJGJsppT5EtgitkASAYmRXpB47srrVrt/rcP2pUd8UEoDef2+3QyBHd9MhD5yg3t9galsTHe5ScHBta5Xx3Y1aos0odwSKvPFv/3PSA1hV+U7etR8wQHd/hIsU7/Vdqun///nr33Xfr7u/pb+K///2vTj31VN1yyy065phj9Nxzz2nq1Kn6+uuvNWBAaF6s2ZbFuGwa3S1Zb3/nO4ZMHpgmewDKB8ZHOXTiAZka1ytZu4rKZbdFWiva28eFaGIdCEFbcks055Vv9fEP2XXbDumZrFtPGKSMBP/1zX7hhRc0a9YsPfzww1Zi/e6779bEiRO1Zs0apab6t3ofWsgZLaX2lbZ/73t/14MDc4qjU6RDZkvDz5SKd9X0efe0k2J4/QBAsHLbYuSOjLFWqfvSztUhIMeR6IzXeV1P0okdJquoskRRNpfiHLGKddCfHG1ffsUOLdpyt34qWla3rWv0MB2VMcPvlSOac/7552v+/PkqLi7W008/rYsvvliJiYnWfFNbxMr1FkhwDZLH3rHR9gjZ1Ttxphy2wF0pZcrPx7l6K97VX1GODBLrABDEbLZITTxyoGJjGycgoj0uHXPUYNnttoAdS2pKnHr1TFPPnmlKTY0L6cQ6EEzMCvXdE+vGusLl+uemB/26gt0k09PS0upuyclNJ/LvueceTZo0SbNnz1bfvn114403atiwYbr//vv9dnzYdzFuh2Yd2UtOW+OhXGZClEZ1bRew0+uw2ZSZ6NHADgnqmx5HYh0IILNCfffEuvHRD9ma+8q3fl3Bfuedd1qTZ+ecc461KsUk2T0ej5544gm/PSf2E5O8nnSr730Zw6WkroE71c4oKbGLlDmsJuFPYh0AglqMPUnj25/jc1//+Any2AJXkt1jj1J6VKp6xHZWpieNxDrCglmhvnti3dhQ9LXe3HKPX1ewFxQU6LTTTrNab6anp+uuu+6yVqvPnDmz7jFmPGDmn0wlUVNR0VQTfeONN5r8mY8//rg1B2VWuptKivVXup977rkaNGiQysrKrPvl5eUaOnSozjzzTAULkustEGVP08i0x9UhZqoiVbNKPME1RAdlPKNoRwAHJACAkJOWFq/77zlDow/qYSWzTWvcA0d11/33naG0tITWPjwA+0FRZV6jxHr9BLvZ7y8//PCDMjIyrEGNGQBt3Lixycd+9tlnOvzwwxtsMysQzXYEpy7JHv3zotEa1bWmhYfDFqHjh2Zq4fQD/bpaFUDwyC4sb5RYr59gN/v9wUxsffXVVw3iRmRkpHWfuBEiMg+QzvrXr73NzWr2Ay+WTnmmpuc5AAA+REbY1Cd2rKZmzlWCI83aFmWL1biUs3RY6nmKsodmSXYgVBRX5TZKrNdPsJv9/mKqVn366adWsnzx4sX6+OOPrWqHexIVFWWNHXx59tlnNW/ePN100036/vvvdfPNN+vPf/6znnrqKWv/vffeq6KiIs2dO9e6f8011yg3NzeoFoFQFr6FPI5M9Wt3rXomXCSvvLJHxsgZwKu0AAChyfSF6dixna6aO0WFBaUy3XFjY9xWyXgAbUNpVdGe91cX++V5TYneBQsWqHfv3srKytINN9yggw8+WCtXrlRsbOMJj61bt6p9+4aT6ea+2Y7g5LTZNCAzXo+ccYAKSitlCo4kRjvlcTK8A8JFfume+54WNLN/X2VnZ6uqqspn3Fi9erVfnhP7mStG6nqIdMbrUkWRFGmvKdNuZxwCANgzk0DvG3+IOnoGqNJbbrWsjbEnWol3AP5VWrXnOaSyZva3ZNW6SXqbFoKHHXaYte3JJ5+0FnT4YsYKzz//vL799ltNnz7d52Ouu+463XHHHTr++OOt+127dtWqVav0yCOP6KyzzlJMTIyeeeYZjRs3zprHMm2oPvjgA8XFxSlYMPuyP05ipFv2SN8vJAAA9sSUgTc3AG2P27bnnm/uSI9fnnfy5Ml1/zZltEyyvXPnznrxxRc1bdo0vzwnWkeCx2ndAISfOHdN9bymxDazH1CM6cvZur05AQChKcaR1NqHAIQdt23Pc0iuZvbvq/Xr16uiokIjR46s2xYfH28t6KjPlHU3pd7NanWbzabLL79cF154YaOfZ1ak//jjj9b8lGk1VauystL6ubUOOugg/elPf7JaF86ZM0djx45VMCG5DgAAAPhBtD1ePWKGWCXgd2e2m/2BkJCQoF69emndunU+95ueWNu2bWuwzdw32wEAwSk5xqlDeiZbJeB3Z7ab/X553uRka7KMuAEAAAAEjseWoK7Rw6wS8Lsz283+1nTaaadZ5dtNOXjTl920jvKlsLDQ+vrYY49Zi0HqM+OMWtXV1VYperOtqfms1kTPdQAAAMAPPPYYHd/hIiuRXp+5b7ab/YFgBi7mqmAzuPHFXA383nvvNdhmemiZ7QCA4BTvcerWEwZZifT6zP3bThhk7fcHp9Op4cOHN4gbZuLL3CduAAAAAP5ry3BUxgwrkV6fuW+2m/3+0K1bNzkcDn3xxRd12/Ly8rR27doGjzOrznv06KHMzMwmE+u17aRMSXmzIt48vv7NlIev9be//c1qO/Xhhx/q7bfftkrRBxNWrgMAAAB+Eu9M1smdZqmoMs/qsW5KwZsV6/5MrJuyWVOmTLFKwW/ZssXqZWWu9D311FOt/WeeeaY12Lnlllus+zNmzLD6WJl+V0cffbQWLlyoL7/8Uo8++qjfjhEA0HIZCVG679Shyi4st3qsm1LwZsW6vxLrtWbNmmX1QjzggAOs8pCmB6Ip73jOOef49XkBAACAcBbnSNFxmXNUXJVr9Vg3peDNinV/JdYN0/PcfPafPXu2kpKSlJqaas0zmQR6RETEPv3MG264QZdddpmVkJ80aZLKysqseaicnBxrrLFs2TLNmzdPL7/8ssaMGaM777yzbu7KJPuDAcl1AAAAwI9MIj1Qq9SNTZs2WYn0nTt3KiUlxepL9fnnn1v/NjZu3NjgKuLRo0frueee07XXXqurr75aPXv21GuvvaYBAwYE7JgBAPvGJNL9nUzf3cknn6wdO3ZYE15bt27VkCFDrNUkZhUKAAAAAP8xiXR/JtN9McntCy64QMccc4zi4uJ05ZVX6pdffpHb7d6nn3feeefJ4/FYq9NN0j46OloDBw7UzJkzVVpaqtNPP11nn322tXDEmD59uhYtWqQzzjhDH330UV1S325vvRR3hNfr9SpM5OfnW1dCmJIF5gUAAOB9kxgCYHfmg/yGDRusclT7OlAIF3s6V3z25lwAIKYQQ1qGWAoAvG8SQ4C2oS3NNRUVFVkVEU0FxGnTpgX8+c0Fvqb1oSlVb6pptcY8FivXgd+opKpY5VWlskc6FB3gK4QAAAAAhKddhWUqr/Iqxm1TjMvR2ocDAAgRZl2VaR9RVe1VvMeuKAfTwQCAvVNVVaXcnUUmmCguKVoOYkhYMmXaTf9z0xLKJJ7nz59vbT/uuOMC/pnm559/1u23325VzWrNiot8mgL2UllVqbaVbtairBe1qeQnJTjaaVLaCeoa00sxJNkBAM2orKy0BiXmZvpfm1trli8CAISGnYVl+mz9Tj3wwTptzy/TsM4Juvzw3uqWEi23w9bahwcACGLb80v1zndb9cSnP6mwtFLjeqfoovHd1SnJI7vt1zZBAADsbkdWrha//IXeeWGpNZc1bsoQHXvmWLXvkMTJCkMmob1mzRo5nU4NHz5cH3/8sZKTkwN6DCax37t3b/Xt21cLFy5s1QoAzOgCe3lFzI+F3+vR9X+TVzWdFAor8/X4htt1ZPvf6bDUKXLboziXAACfysvLtXnzZqtsUi3TT8iUUDIfSgEA8CWvpEJ3vfuDnvn857pti1dt1/urd+i580dpVNd2nDgAgE87Ckp1+YvL9em6nXXbXv5qk95ckaXXLx6jnu2pxggAaCKGZOXq6jMe0ab1O+q2/fPxj/TB68t01yuXkmAPM0OHDtVXX33V2oehhIQElZWVKRhwiSKwF/IqcrTwl8frEuv1Ld72mgqq8jiPAIAmV6zvnlg3zH2z3ewHAMCXHQVlDRLrtUxp32teXansguCYWAAABJ8N2UUNEuu1isur9Ld31qiwjHEIAMC35Z/+0CCxXitnR0HNSvbKKk4dwhor14G9UFxVqLyKXT732SLsKqoskCvSbf072h7DOQUA1DGls3ZPrNcy281+ysMDAHxZtjGnyROTW1yuovJKeQskj9OmaBfDewDAr95csbXJ07F2W4EVR0rKqxTrttNmBABQp6SoTO+92vQq5R+/36Kd2QWyO+2KjY2Sg1ZVCEOMvoG9EBnhu5dht+jeOjLtd/pv9vtaV7hKsY54HZ567P/6sMdxbgEAVvK8yfgSGWm1HjEljejFDgDYncvuexxy3sFdNSgzXte8ukIbd5Wof0acLjm0h7omR8vjZJgPAJCifCQ7IiKka47qa12Uddnzy5RdWK6DuiVp+iHd1bkdfdgBAGauKkJOHxfuOpx2XXbbScotKde8a19RSXG5xhzcS1OOG6b0jEROHcIKo25gL0TbYpTh7qQtpRvrtsU7knRo+yl6fP0dqvRWWNt2lm/X4xvu0NjkI3R0+knysIodAMKezWZrMrHeoUMHZWVl0YsdAODTkI7xskVGWGXga00ekKZYt0OXLVxet23jrmK9/d1W/f2sEZrQO0URJnsCAAhrUwZn6KEPf2yw7Y+HdNP3Wfl65evNDWLIa8u36J8Xjlb/zPhWOFIAQDBxRTk15cyx+mLJ6gbbz/vzsXrrve/0zTe/1G17ceH/6e23vtX9D52tjEwS7Agf9FwH9oJZkX5a5wvlioyq2zYm+TD9Z+urdYn1+j7JXqz8ilzOLQDASq5HR0c3OhPt2rXTzp076cUOAGhScqxLN/9uQINtxw/roAfeX9fosV6vNPeVb7Utnz7sAAApI8GtCw7pVncqHLYIjeiS1CCxXqusslrXvr5SOcXlnDoAgHr0z9ToI38dhyQkxygqMbpBYr1Wfl6Jnnvmvyora5wnAdoqkuvAXsqI6qQ5fW7VlPRT1TdusLrH9NXG4oZXANf3Q+Eqzi0AwOqnnpmZ2SjBbu4314sdABDeTIn3owem660ZB+uMAzvpyP7tZdakl1dV+3z89oIyEiMAAEuCx6k/juuuVy8areOHZuqUEZ30447CJs/Oso25yi8hMQIAkBJTYnXJjSfolmf+qLGTBmrq2Qfr62U/N3lqPlryvfLzSzh18On666/XkCFD1JZQFh7YS5ERkWrnStVh7adonHeycit2NfN432WAAQDhx+l0qmPHjlbCvLa3emVl5R6/h+Q6AMCIcTvUN92h648doMrqaiv5sSeRVIQHAPxPYrTTug3sEC9vtfTil41XHAIA0FSC3dwGjKipgnLv3e80eaJsNtbxhrPx48frww8/tP7tcrnUrVs3XXLJJbrooov89pymFdqrr76qqVOnWvcrKip05pln6qOPPtI777yjAQMaVoDb33jFA/vwR+uIdFh92HvFNP0H2jOmH+cWANBgBbv5gOnxeKyv5v6+9GpH6PFW5clbuV7e8m9qvlbl+f05N2/erNNPP91qPxAVFaWBAwfqyy+/3OP3LFmyRMOGDbNenz169NCCBQv8fpwA9p7pve6y29QhMUpRDt8xomNSlBI9Tk5rOCnJkbLXSpu+lLJ/qLnvZ2bCasqUKcrIyLDGx6+99prfnxNAy9gjI+WwR+qg7u2afMzBPZOJIQCAxjHEYbNuEycPavLsHDFpkBISGrdExP5XUZWn4vIflV+2XMUV6637weD8889XVlaWVq1apZNOOkkXX3yxnn/++YA8d3FxsY499lh98cUX+uSTT/yeWDdIrgP7yGOP1gkdz1KUrXHQOCb9ZMXa4zm3AIDf3IvdMNtJrrcN3qosefMulzd7kry7Tqz5mjfL2u4vOTk5GjNmjBwOh9566y1rYHPHHXcoMTGxye/ZsGGDjj76aE2YMEHLly/XzJkzdd5551lX+wIILqmxLv3txEGK2G2FutMWqbtOGqLUOHdrHRoCLW+z9NK50v0jpMcPk+4/QHp5Ws12PzLtawYPHqwHHnjAr88DYP9LiXXpT0f2arQ9LsqueVP6KS7KwWkHAPiU2SFJR9Trw16rfVq8TjhxhBxNXACM/aesMkurd8zQV1sm6pus3+urzUdq9Y6Z1nZ/Kigo0GmnnWbNV6anp+uuu+6yVqubuaNaZjFRWlqatWrdlIHv2bOn3njjjSZ/5uOPP66+ffvK7XarT58+evDBB+v2nXvuuRo0aJDKysqs++Xl5Ro6dKi1Mn13ubm5OuKII7RlyxYrsd61a1cFAmXhgRZo78rU7N4366ucT7U6/1vFORI0PvUopbrSFWX3cG4BAM32YjcrjOv3XjcfVM325la2I0RWrOddI5V/0nBH+cfy5l0rxd+pCNv+vxjvtttus9oQPPnkk3XbmhtcPPzww9ZjTBLeMAMcMygxA6aJEyfu92MEsO+cdpsO7Z2qty47WAv++5PVP3doxwSdMrKTOiRFcWrDhVmh/vol0vr3G27/8T3pjUul3/9dimr6oqqWmDx5snUDEHpi3Q6dfmBnje6RrCc/2aBtBWUa3ytFUwZnWJVRAABoSkKCR9MvOkyHTxyof768VCXFFTr0sH4aeWB3pbZnoaG/mRXqa7OvUm5pwzmm3NKPtTb7avVJuVsOP8wxGbNmzdKnn35qJcvbt2+vefPm6euvv95jH3VTRdEkxX159tlnrZ9x//33W0nzZcuWWSvfzZzoWWedpXvvvde6mHfu3LnWvNQ111xjJdHN4+vbunWrxo0bp5iYGKssfUJCggKFWVugBUwJPNOH/fD2x+mQlImyRdjliNz7MowFFfnaVb5d3+Z9KUeEXYMSRirBkSSPPYbfCwCEaS92c9vbxLrp276v34sA8O5snFivVf5xzX7t/4GPGeyYhPiJJ55oDS7MxRqmz5UZqDTls88+0+GHH95gm/kZ9a9CBhA8PC67+qTHaf5xA1RWWWWVibf/hj6HWXklWrUlX5+v36mOSR6N65Wi9Hi3lbhHiCja0TixXj/Bbvb7KbkOILQleJwa1smp/ifGqbyqWh6n3Wo9sje8Xq+25Jboq59z9O2mPPXLiNPILknKSIhS5F7+DABA6EpMjNbwA7qq/4AOqjYxJNq1199bWVmlbbsK9MWKn7UxK0eDe2eqT7c0tW8X69djbisqqrIbJdbrJ9jNfn8k182q9aeeekrPPfecDjvsMGvbk08+abWI8sXMUZpy8N9++62mT5/u8zHXXXedtbjj+OOPt+6bxR6m6uIjjzxiJddNsvyZZ56xEuexsbG6++679cEHHyguLq7Bz5kxY4a1Un7x4sXWyvlAYvYV2A8iIyLltv22P978ily9/MuT+iZvad22t7a+ogmpR+uI9scp2k5QAYBwYJLh+5IQN1d/NrXq3STtEQSqC1q2fx+tX79eDz30kHVl8dVXX231nLrsssus14UZpPhirvY1Vx/XZ+7n5+erpKTEuuIYQPBx2iOt22+xcVex/vDY59qUU1K3zWGL0N/PGqEDuyfJaSPBHhJK81u2H0DYczls1u23WLutQCc98rnySirqtsW47Fo4/UANyGTVIgCEC7f7t7URqayq1oq1WzTz1ldUXlFlbXt+0VdKSYzRA/NOUsc0Lgpt9hx69zyHVOktlL/mmCoqKjRy5Mi6bfHx8erdu3eDx5my7qbUu5mvNIt/Lr/8cl144YWNfp6Zx/zxxx81bdq0BotAzAIi83NrHXTQQfrTn/6kG2+8UXPmzNHYsWMb/axjjjlGr732mpWUN88XSPRcB1rJ2oKVDRLrtT7YvkjbSv3bIw8AENrMB87dE+uGuW+2m/0IApGxLdu/j6qrqzVs2DDdfPPNVnktc6WwGbCY0u8AwltBaYVu+Nd3DRLrRkWVV+c//aW259f0tEMIcMe1bD8A/EY7Ckp14TNfN0isG4VllVYM2ZZXyjkFAPiUnVOo2be/VpdYr4stOYW65ZH/KL+QGNIce8Se55DsEa1bDfm0007T8uXLtWHDBmt+8s4771RkZOMUdGFhzUUAjz32mPX42tvKlSv1+eefN5jbMqXoTaJ+3bp1Pp/zjDPO0BNPPGEl4c3zBRLJdaAVFFUWWEn0pizZ/rYqqhsOVgAAqF9iaffEel2MKSqy9iMIRLSTnAf73me2m/1+kJ6ern79+jXYZnqob9y4scnvSUtL07Zt2xpsM/dNyS1WrQNtx66icr2/ervPfWWV1fo+i9XOISM6RepeU5axEbPd7AeA/WhnUbnWZ/seg2TllSq7iAu0AAC+bdqWq6IS3/23l63epNyChhf/ojGHLVkJbt9zTGa72e8Ppuy6w+GwqiLWysvL09q1axs8zqw679Gjh1VR01dSvX6VRFNS3qyIN4+vfzPl4Wv97W9/0+rVq612h2+//bZVit4XU6FxwYIFuvLKK3X77bcrUEImuW5+Uccdd5ySk5OtST5TAsDU2AdCUZW3SsVVvgckRlFVgaq9rDoEADQRR5pJnpNcDw4RtnhFxP+lcYLdebC13ez3hzFjxmjNmjWNPkt37ty5ye8x5bbee++9BttMzyqzHUDbUVFVLa+36f05xVzgGzJMP/Vj72ucYDf3zXb6rQPYz8orq/e4v3S31YgAANQqLNrzyvSKCnIhzTH91Hsl39wowW7um+3+6LdumJ7nJoE9e/ZsKyf73XffWSXdTQI9IiJin37mDTfcoFtuuUX33nuvNV+1YsUKK3leu/p82bJlmjdvnlVm3sxxme2mv7pJyDe1gt30hZ87d66VlA+EkOm5bmrn9+zZU++//761esY0sDfbTG1+s9IGCCVRNo/6xQ3RJ9mLfe4fnDBCzkh3wI8LABAaTEmkluxH4ETY0qX4OyXvzpoe66YUfEQ7vyXWDdNnavTo0VZZ+JNOOklLly7Vo48+at1qXXXVVVYLgaefftq6f8EFF+j++++3rvQ999xzrc/cL774ohYtarrSDoDQE+tyKD3eba0w9GUQ/XJDS3ym9Pu/S0U7anqsm1LwZsW6nxPrppRj/dKMpvSjKeWYlJSkTp06+fW5AbSepGinXPZIq9LJ7uyREUqJcbXKcQEAgl+XzKYr9yXERikmmlzI3nDZ09Un5W5VVGVbPdZNKXizYt1fifVaJrlt5o1MTtYsfr7yyiv1yy+/yO3et9/beeedJ4/HYyXCTdI+OjpaAwcO1MyZM1VaWqrTTz9dZ599tqZMmWI93rQ7NPNTJon+0Ucf+Zz3NGXpTcLfPMaUlDd92hXuyfXs7Gz98MMP+vvf/65BgwZZ22699VY9+OCDVh1+kusINY5Ip8anHKUvdn2ssuqGE1tx9gQNiB++z1f9AADaPvMh0nzw9FUa3mwnuR5cahLp/h3o1DdixAi9+uqrVgJ9/vz5Vlktc2GqGWjUysrKalAm3jzGDFRMYv6ee+5Rhw4drCuEJ06cGLDjBuB/7ePdum5KP13wzNeN9h3RN1WpcUxqhRyTSA/wKvUvv/xSEyZMqLs/a9asBiUZAbRNJnl+2WE99bd3GlZIMs4/uJuSSa4DAJqQFB+tSWP76u1Pvm+079LTxik5MZpzt5dMIt3fyXRfq9efffbZuvtFRUXW6nOT9DaWLFmyx++//vrrrVt9f/jDH6ybL2Z1/O5ef/31Bve9PkqynXrqqdYtEEIiud6uXTv17t3bWlkzbNgwuVwuPfLII0pNTdXw4cOb/L6ysjLrVis/n/5xCB7tXKma1etGvbHlOa3KX67IiEgNTThIk9N/ryQn/fGA1kYMQTCz2+1WDyOz8rh+gt0k1s12sx/hzVxNbG5N8ZX8GD9+vFV6Cy1HDEEwG90jWU+fO1J/WbRKa7cVKsHj0LQxXXXyiI7WqkSgOSZe+JrMQssRPxDMXA6bTh3Z0aqAcufitdqUU6K0OLdmHN5TR/ZrL4+LMQjQmoghCGZxMW5dcto49eiUomf//YVy8kvUOSNJF516sIb27SDbHnp0o/WZuSLT/3zkyJFWv/X58+db200r73AVEp96zAred999V1OnTrWukDBL+01i3TSxT0xs+gptU7PfXD0BBCOTTE+L6qAzulyikqpimXXqHlusXDbKaAHBgBiCYOd0OtWxY0erv7q5mdXq5kZiHWh9xBAEszi3Q4f0StFzGQda/XFtkRFKjXHJZmNCC2htxA8Eu6Rol44f1kFjeySrvKpaDjNHG+ei+iIQBIghCHbtEqJ1ytHDdcSYPqqqqpbTYbe2ITTcfvvtWrNmjTUfOXz4cH388cdKTk5WuIrwtuLlxqa5/G233bbHx3z//ffWqnWTWK+oqNA111xj9Vw3ZSrfeOMNffHFF0pPT9/rq7XMJLS5ssL0BQAA7Jl534yPjw/L901iCBC+TH8n0z/WlErf1/5R4WJP54oYwjgEADGFGPLbMAYBgJZhDMIYBAhWzDW1rXmsVl25fsUVV1hN6fekW7duev/99/Xvf/9bOTk5df9Dpt/64sWL9dRTT1lJel9M+XhzAwDgtyKGAAD2FTEEAED8AAAEEmMQAAicVk2up6SkWLfmFBcXW19NOfj6zP3q6mq/HR8AAAAAAAAAAAAAAEZINFU76KCDrN7qZ511lr755hutXbtWs2fPtpbuH3300a19eAAAAGiDWrF7UsjgHAEA75fEEAAAAIBxQTjNY4VEcj05OVlvv/22CgsLdeihh+qAAw7QJ598otdff12DBw9u7cMDAABAG+JwOBpUT0LTas9R7TkDABBT9hYxBAAAAOGCuabgUF5ebn212WyhWxb+tzAJ9Xfeeae1DwMAAABtnPmAnZCQoO3bt1v3PR6PIiIiWvuwgu5KX5MUMefInKuWDkoAoK0ipjRGDAEAAEC4YVzQ+kyb8R07dljzfHa7PTyS6wAAAECgpKWlWV9rE+zwzSTWa88VAICY8lsQQwAAABBOmGtqfZGRkerUqVOLF9GQXAcAAAB2Yz5kp6enKzU1VRUVFZyfJkqasWIdAJpHTCGGAAAAAIwLWp/T6bQS7C1Fch0AAABogkkek0AGAOwPxBQAAAAAjAtCX8vT8wAAAAAAAAAAAAAAtHEk1wEAAAAAAAAAAAAAaAbJdQAAAAAAAAAAAAAAmhFWPde9Xq/1NT8/v7UPBQBCQu37Ze37ZzgjhgDAb0MMIYYAwL4ihjAGAQDiR8swjwUA/huDhFVyvaCgwPrasWPH1j4UAAi598/4+HiFM2IIAOz7+ycxhHEIABBDGIMAQKAwBmEeCwD8GUMivGG0HLG6ulpbtmxRbGysIiIi9vnKBZOc/+WXXxQXF6dQwXFzvnmtBKdg/9s0IcIEk4yMDEVGhncnEWJI8L5OQ/Xvq60ddygfO8ftH8SQ/RdDQvU1GsrHznFzvnmttC5iSI1wHoOE8rFz3JxvXiuth/jxq3COIaF63KF87Bw35zvcYkhYrVw3J6NDhw775WeZX3qw/eL3BsfN+ea1EpyC+W8z3Fcb1iKGBPfrdE84bs45r5XWQwzZvzEkVN/PQvnYOW7ON6+V1kMMYQxSi/fiwOJ8Bx7nfP8iftRgHit0/7ZC+dg5bs53uMSQ8F6GCAAAAAAAAAAAAADAXiC5DgAAAAAAAAAAAABAM0iu/0Yul0vXXXed9TWUcNycb14rwSlU/zYRXr9vjpvzzWslOIXq3ybC63cdqsfOcXO+ea2grQjV97NQPnaOm/PNawVtBe9nnHNeK8EpVP82Q/3Y64vwmg7tAAAAAAAAAAAAAACgSaxcBwAAAAAAAAAAAACgGSTXAQAAAAAAAAAAAABoBsl1AAAAAAAAAAAAAACaQXIdAAAAAAAAAAAAAIBmkFxvoUWLFmnUqFGKiopSYmKipk6dqlBRVlamIUOGKCIiQsuXL1cw++mnnzRt2jR17drVOtfdu3fXddddp/LycgWjBx54QF26dJHb7bZeH0uXLlUwu+WWWzRixAjFxsYqNTXVeh2vWbNGoebWW2+1Xs8zZ85UKNi8ebNOP/10tWvXznpdDxw4UF9++WVrHxYCiBgSGMQQ/yKGtA5iCIghgUEM8S9iSOsghoS3UI4fBnNZ/sNcVusIpbks4geIIYETSuOQUIsfBuOQwNvcxnIhJNdb4JVXXtEZZ5yhc845R998840+/fRT/eEPf1CouPLKK5WRkaFQsHr1alVXV+uRRx7Rd999p7vuuksPP/ywrr76agWbF154QbNmzbKC3ddff63Bgwdr4sSJ2r59u4LVhx9+qIsvvliff/65Fi9erIqKCh155JEqKipSqPjiiy+s18egQYMUCnJycjRmzBg5HA699dZbWrVqle644w5rcgPhgRgSOMQQ/yKGBB4xBMSQwCGG+BcxJPCIIeEt1OOHwVyWfzCX1TpCaS6L+AFiSGCFyjgkFOOHwTgksHLaYi7Ei31SUVHhzczM9D7++OMheQbffPNNb58+fbzfffed17wMli1b5g01f/3rX71du3b1BpuRI0d6L7744rr7VVVV3oyMDO8tt9ziDRXbt2+3XhcffvihNxQUFBR4e/bs6V28eLF33Lhx3hkzZniD3Zw5c7xjx45t7cNAKyGGtD5iiP8QQ/yPGBLeiCGtjxjiP8QQ/yOGhK9Qjx8Gc1n+w1xW4IXaXBbxI7wRQ4JDMI5D2kL8MBiH+NecNpgLYeX6PjJX4ZgyBpGRkRo6dKjS09M1efJkrVy5UsFu27ZtOv/88/WPf/xDHo9HoSovL09JSUkKJqYsy1dffaXDDz+8bpt5jZj7n332mULp3BrBdn6bYlbdH3300Q3Oe7B74403dMABB+jEE0+0SvGb95HHHnustQ8LAUIMaX3EEP+eW4MY4j/EkPBGDGl9xBD/nluDGOI/xJDwFcrxw2Auy3+Yy2odoTaXRfwIb8SQ4BBs45C2Ej8MxiH+9UYbzIWQXN9H69evt75ef/31uvbaa/Xvf//bKmEwfvx47dq1S8HK6/Xq7LPP1gUXXGC9mEPVunXrdN999+mPf/yjgkl2draqqqrUvn37BtvN/a1btyoUmHIzps+TKdMxYMAABbuFCxdaH/BMn5RQew956KGH1LNnT73zzju68MILddlll+mpp55q7UNDABBDWhcxxH+IIYFBDAlvxJDWRQzxH2JIYBBDwleoxg+DuSz/Yi4r8EJxLov4Ed6IIa0vGMchbSF+GIxD/G99G8yFkFzfzdy5cxUREbHHW22/C+Oaa67RCSecoOHDh+vJJ5+09r/00ktBe9zmDbigoEBXXXWVgsHeHnd95krrSZMmWVe5mBX42P9Xzpor180H/WD3yy+/aMaMGXr22WfldrsVSsx7yLBhw3TzzTdbV2pNnz7dej2b3jkIXcSQ4Dzf9RFD/IsYEhjEkLaJGBKc57s+Yoh/EUMCgxjS9oRq/Pgtx85cFppDDPE/4kfbRAwJ3nNeH+MQ/yKG+F91G8yF2Fv7AILNFVdcYa3s3pNu3bopKyvL+ne/fv3qtrtcLmvfxo0bFazH/f7771slOcyx1mdWsZ922mkBv1Jkb4+71pYtWzRhwgSNHj1ajz76qIJNcnKybDabVa6sPnM/LS1Nwe6SSy6xrl7/6KOP1KFDBwU7U3Zm+/bt1htzLXO1nDn++++/X2VlZdbvIxiZEnz13z+Mvn376pVXXmm1Y0LLEUOIIS1BDAksYgiCDTGEGNISxJDAIoYgmIRq/DCYywoOxJDACtUYwjxW20QMIR8SzvHDIB8SGOltMBdCcn03KSkp1q055gpfMwhZs2aNxo4da22rqKjQTz/9pM6dOytYj/vee+/VX/7ylwbJ6okTJ+qFF17QqFGjFKzHXXuFlkms115dbfp3BBun02kd33vvvaepU6fWXZVj7ps36mAusXbppZfq1Vdf1ZIlS9S1a1eFgsMOO0wrVqxosO2cc85Rnz59NGfOnKAcjNQyZffN+0d9a9eubZX3D+w/xJDAIoYEB2JI4BFD2iZiSHCeb4NxiP8QQwKPGNL2hGr8MJjLCg7MZQVWqM5lET/aJmII+ZBwjB8G45DAGtMWcyFe7LMZM2Z4MzMzve+884539erV3mnTpnlTU1O9u3btCpmzumHDBq95GSxbtswbzDZt2uTt0aOH97DDDrP+nZWVVXcLNgsXLvS6XC7vggULvKtWrfJOnz7dm5CQ4N26das3WF144YXe+Ph475IlSxqc2+LiYm+oGTdunPW3GeyWLl3qtdvt3ptuusn7ww8/eJ999lmvx+PxPvPMM619aAgQYkjgEEP8ixgSeMQQEEMChxjiX8SQwCOGhLe2ED8M5rL2P+ayWlcozGURP0AMCaxQGYeEYvwwGIcE1tI2mAshud4C5eXl3iuuuMIaiMTGxnoPP/xw78qVK72hJFQGJE8++aR1nL5uwei+++7zdurUyet0Or0jR470fv75595g1tS5Nec91ITCgKTWv/71L++AAQOsDyB9+vTxPvroo619SAggYkjgEEP8ixjSOogh4Y0YEjjEEP8ihrQOYkj4agvxw2Auyz+Yy2o9oTKXRfwIb8SQwAqlcUioxQ+DcUjg/auN5UIizH9ae/U8AAAAAAAAAAAAAADBLPiaVgMAAAAAAAAAAAAAEGRIrgMAAAAAAAAAAAAA0AyS6wAAAAAAAAAAAAAANIPkOgAAAAAAAAAAAAAAzSC5DgAAAAAAAAAAAABAM0iuAwAAAAAAAAAAAADQDJLrAAAAAAAAAAAAAAA0g+Q6AAAAAAAAAAAAAADNILkONCMiImKPt+uvv9563KuvvqoDDzxQ8fHxio2NVf/+/TVz5sy6n7NgwQLr8ZMmTWrw83Nzc63tS5YsafY5Fy5cuFe/r2+//VYHH3yw3G63OnbsqL/+9a/8ngGgFRBDAADEDwAAY5A9Yx4LAIID81jA3rHv5eOAsJWVlVX37xdeeEHz5s3TmjVr6rbFxMTovffe08knn6ybbrpJxx57rBWEVq1apcWLFzf4WXa7Xe+++64++OADTZgwYY/P++STTzZKxCckJDR7vPn5+TryyCN1+OGH6+GHH9aKFSt07rnnWt87ffr03/B/DgBoKWIIAID4wRgEAAKJMQgAgBhCLgT+RXIdaEZaWlrdv82qdJM4r7/N+Ne//qUxY8Zo9uzZddt69eqlqVOnNnhcdHS0TjrpJM2dO1f/93//t8fnNcnw3Z9nbzz77LMqLy/XE088IafTaa2gX758ue68806S6wAQYMQQAADxg+Q6ADAGaRrzWAAQPJjHAvYOZeGB/RR0vvvuO61cubLZx5oy8mY1+csvv+yXc//ZZ5/pkEMOsRLrtSZOnGitts/JyfHLcwIA9h0xBABA/AAABBJjEAAAMQTYdyTXgf3g0ksv1YgRIzRw4EB16dJFp5xyirVyvKysrNFjMzIyNGPGDF1zzTWqrKxs8meeeuqpVsn5+reNGzc2eyxbt25V+/btG2yrvW/2AQCCCzEEAED8AAAwBvkV81gAELyYxwJIrgP7hSn3vmjRIq1bt07XXnutlQi/4oorNHLkSBUXFzd6/Jw5c7Rjxw4rAd+Uu+66yyrnXv9mEvMAgLaFGAIAIH4AABiDAABCAfNYAMl1YL/q3r27zjvvPD3++OP6+uuvtWrVKr3wwgs++6lfddVVuuGGG3wm32tLdPXo0aPBzW63N3sM5vu2bdvWYFvt/X3p4Q4ACAxiCACA+AEACCTGIAAAYgjw21EWHvATUx7e4/GoqKioyfIpkZGRuueee/br8x500EH66KOPVFFRUbdt8eLF6t27txITE/frcwEA/IMYAgAgfgAAAokxCACAGALsneaXwQJo1vXXX2+tQD/qqKPUuXNn5ebm6t5777US3EcccYTP73G73dbK9YsvvtjnfvMzdu+RHhsba5Vd2ZM//OEP1s+dNm2aVX5+5cqVVgLflJkHAAQfYggAgPgBAGAMwjwWAIQC5rEAVq4D+8W4ceO0fv16nXnmmerTp48mT55sJcb/85//WCvGm3LWWWepW7duPvedc845Sk9Pb3C77777mj2W+Ph463k3bNig4cOHW73f582bp+nTp7fo/xEA4B/EEAAA8QMAEEiMQQAAxBBg30V4vV5vC74fAAAAAAAAAAAAAIA2j57rAAAAAAAAAAAAAAA0g+Q6EGJMyfmYmBift5tvvrm1Dw8AEMSIIQAA4gcAgDEIACAUMI+FYEVZeCDEbN68WSUlJT73JSUlWTcAAIghAADGIACA1sY8FgCAGIK2huQ6AAAAAAAAAAAAAADNoCw8AAAAAAAAAAAAAADNILkOAAAAAAAAAAAAAEAzSK4DAAAAAAAAAAAAANAMkusAAAAAAAAAAAAAADSD5DoAAAAAAAAAAAAAAM0guQ4AAAAAAAAAAAAAQDNIrgMAAAAAAAAAAAAA0AyS6wAAAAAAAAAAAAAAaM/+H6l6hIsdYv/TAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pseudobulk.plot_embedding(method=\"TSNE\", metadata_cols=samples_metadata_cols);" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "8d55cbba", + "metadata": {}, + "outputs": [ { - "name": "cell_type_PB", - "rawType": "float64", - "type": "float" - }, + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pseudobulk.plot_embedding(method=\"MDS\", metadata_cols=samples_metadata_cols);" + ] + }, + { + "cell_type": "markdown", + "id": "757eae88", + "metadata": {}, + "source": [ + "### Evaluate how well a covariate is represented" + ] + }, + { + "cell_type": "markdown", + "id": "a0465902", + "metadata": {}, + "source": [ + "Let's try to classify \"Outcome\" based on the nearest neighbors for each sample in the representation:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "dc8331f1", + "metadata": {}, + "outputs": [ { - "name": "cell_type_PLT", - "rawType": "float64", - "type": "float" - }, + "data": { + "text/plain": [ + "{'score': np.float64(0.13977126662840952),\n", + " 'metric': 'f1_macro_calibrated',\n", + " 'n_unique': 6,\n", + " 'n_observations': 113,\n", + " 'method': 'knn'}" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pseudobulk.evaluate_representation(target=\"Outcome\", method=\"knn\", n_neighbors=5, task=\"classification\")" + ] + }, + { + "cell_type": "markdown", + "id": "66b9a50a", + "metadata": {}, + "source": [ + "It doesn't work too good. Now we can try to solve the ranking problem for the same covariate. It will train regressor and use a different metric for evaluation:" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "302646d6", + "metadata": {}, + "outputs": [ { - "name": "cell_type_RET", - "rawType": "float64", - "type": "float" - }, + "data": { + "text/plain": [ + "{'score': np.float64(0.6103813851943187),\n", + " 'metric': 'spearman_r',\n", + " 'n_unique': 6,\n", + " 'n_observations': 113,\n", + " 'method': 'knn'}" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pseudobulk.evaluate_representation(target=\"Outcome\", method=\"knn\", n_neighbors=5, task=\"ranking\")" + ] + }, + { + "cell_type": "markdown", + "id": "e54c8099", + "metadata": {}, + "source": [ + "Now let's see how well Pool is represented. This is a technical covariate so we don't want score to be high:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "6d8c9204", + "metadata": {}, + "outputs": [ { - "name": "cell_type_cMono", - "rawType": "float64", - "type": "float" - }, + "data": { + "text/plain": [ + "{'score': np.float64(0.13579292359838518),\n", + " 'metric': 'f1_macro_calibrated',\n", + " 'n_unique': 10,\n", + " 'n_observations': 138,\n", + " 'method': 'knn'}" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pseudobulk.evaluate_representation(target=\"Pool_ID\", method=\"knn\", n_neighbors=5, task=\"classification\")" + ] + }, + { + "cell_type": "markdown", + "id": "3d5a3e71", + "metadata": {}, + "source": [ + "Save the distances to adata to use later" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "11969c55", + "metadata": {}, + "outputs": [], + "source": [ + "adata.uns[\"pseudobulk_distances\"] = distances\n", + "adata.uns[\"pseudobulk_samples\"] = pseudobulk.samples\n", + "adata.uns[\"pseudobulk_UMAP\"] = pseudobulk.embeddings[\"UMAP\"]" + ] + }, + { + "cell_type": "markdown", + "id": "1b71d754", + "metadata": {}, + "source": [ + "## Run cell type composition representation" + ] + }, + { + "cell_type": "markdown", + "id": "7cd94e9e", + "metadata": {}, + "source": [ + "This representation is based on cell type composition differences. It is calculated as a difference between cell type proportions in each sample." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "c919c382", + "metadata": {}, + "outputs": [], + "source": [ + "composition = patpy.tl.CellGroupComposition(sample_key=sample_id_col, cell_group_key=cell_type_key, layer=\"X_scVI\")\n", + "composition.prepare_anndata(adata)\n", + "composition_distances = composition.calculate_distance_matrix(force=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "0c4debec", + "metadata": {}, + "outputs": [ { - "name": "cell_type_iNKT", - "rawType": "float64", - "type": "float" + "data": { + "text/plain": [ + "array([,\n", + " ,\n", + " ,\n", + " ,\n", + " ], dtype=object)" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" }, { - "name": "cell_type_ncMono", - "rawType": "float64", - "type": "float" + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } - ], - "ref": "db7e90a5-aaf3-4b5a-b4b0-e22f43f7004e", - "rows": [ - [ - "G05061-Ja005E-PBCa", - "6.324900133155792", - "33.92143808255659", - "12.366844207723036", - "1.5978695073235687", - "0.5326231691078562", - "0.4993342210386152", - "0.8988015978695073", - "0.06657789613848203", - "4.677097203728362", - "0.0", - "18.159121171770973", - "0.3162450066577896", - "0.16644474034620504", - "0.016644474034620507", - "15.81225033288948", - "0.033288948069241014", - "4.610519307589881" - ], - [ - "G05064-Ja005E-PBCa", - "3.4051579770012284", - "47.1474824159875", - "16.400580551523948", - "1.8198057385285251", - "1.2280897621971643", - "0.7256894049346879", - "2.1882326671876746", - "0.02232890476722117", - "1.317405381266049", - "0.0", - "7.45785419225187", - "0.44657809534442333", - "0.0", - "0.0", - "14.357485765323212", - "0.0", - "3.483309143686502" - ], - [ - "G05073-Ja005E-PBCa", - "5.1943378119001915", - "45.60940499040307", - "16.27879078694818", - "1.4875239923224568", - "1.2476007677543186", - "0.8397312859884838", - "4.654510556621881", - "0.01199616122840691", - "2.1952975047984644", - "0.01199616122840691", - "3.7308061420345493", - "0.20393474088291744", - "0.04798464491362764", - "0.0", - "13.963531669865642", - "0.08397312859884837", - "4.438579654510557" - ], - [ - "G05077-Ja005E-PBCa", - "5.8462111338670635", - "29.23105566933532", - "14.596909327871904", - "1.3777695028858685", - "0.44684416309811953", - "1.3405324892943584", - "0.46546266989387447", - "0.1675665611617948", - "0.8005957922174641", - "0.01861850679575498", - "22.84490783839136", - "1.0798733941537888", - "0.07447402718301992", - "0.01861850679575498", - "18.004096071495066", - "0.05585552038726494", - "3.6306088251722213" - ], - [ - "G05078-Ja005E-PBCa", - "1.3663806800127105", - "39.000105920982946", - "15.591568689757441", - "2.3408537231225504", - "0.7626310772163966", - "0.73085478233238", - "2.6480245736680437", - "0.2118419658934435", - "1.7371041203262365", - "0.021184196589344347", - "10.66624298273488", - "0.14828937612541043", - "0.021184196589344347", - "0.0", - "19.52123715708082", - "0.4978286198495922", - "4.734667937718462" - ], - [ - "G05097-Ja005E-PBCa", - "8.26946847960445", - "23.003708281829418", - "29.011124845488258", - "2.38566131025958", - "0.6427688504326329", - "1.1001236093943139", - "2.187886279357231", - "0.0988875154511743", - "2.496909765142151", - "0.024721878862793575", - "7.021013597033375", - "0.3708281829419036", - "0.0", - "0.012360939431396788", - "20.0123609394314", - "0.23485784919653896", - "3.1273176761433867" - ], - [ - "G05105-Ja005E-PBCa", - "4.932141674942072", - "41.14531612048991", - "14.233697451175106", - "2.896391923204237", - "0.7613373055279709", - "0.7778881165177094", - "1.9695465077788812", - "0.165508109897385", - "0.9930486593843099", - "0.0165508109897385", - "5.743131413439259", - "0.36411784177424694", - "0.0", - "0.0", - "23.50215160542867", - "0.0", - "2.499172459450513" - ], - [ - "G05112-Ja005E-PBCa", - "11.191335740072201", - "27.594765342960287", - "18.343862815884478", - "1.9404332129963902", - "1.0153429602888087", - "0.3835740072202166", - "2.6173285198555956", - "0.0", - "0.13537906137184114", - "0.0", - "3.2490974729241873", - "0.473826714801444", - "0.0", - "0.0", - "27.09837545126354", - "0.0", - "5.956678700361011" - ], - [ - "G05145-Ja005E-PBCa", - "6.9575471698113205", - "44.828167115902964", - "11.556603773584905", - "3.0997304582210243", - "0.4211590296495957", - "2.1394878706199463", - "0.2695417789757413", - "0.10107816711590296", - "0.5390835579514826", - "0.0", - "7.126010781671159", - "0.4716981132075472", - "0.03369272237196766", - "0.0", - "20.03032345013477", - "0.01684636118598383", - "2.4090296495956873" - ], - [ - "G05153-Ja005E-PBCa", - "3.570109565431491", - "29.607287947802536", - "33.103533177397516", - "1.0341007017111905", - "1.0833435922688661", - "1.0833435922688661", - "2.622183922196233", - "0.09848578111535149", - "0.8617505847593253", - "0.0", - "4.8258032746522215", - "0.36932167918256803", - "0.0", - "0.0", - "18.37990890065247", - "0.02462144527883787", - "3.3362058352825312" - ], - [ - "G05164-Ja005E-PBCa", - "2.722213866746879", - "48.74417205594826", - "10.994134456309219", - "1.067829748834411", - "0.5865543690780568", - "0.9023913370431643", - "1.3535870055647465", - "0.1052789893217025", - "0.7068732140171454", - "0.015039855617386072", - "13.189953376447585", - "0.27071740111294934", - "0.0", - "0.0", - "13.580989622499622", - "0.0", - "5.7602647014588655" - ], - [ - "G05171-Ja005E-PBCa", - "5.735589331803843", - "54.97562374533983", - "8.74677373100086", - "1.3335245196443934", - "0.5018640665328362", - "0.4588471465443074", - "0.6882707198164612", - "0.14338973329509608", - "1.1757958130197876", - "0.0", - "11.442500716948667", - "0.3584743332377402", - "0.0", - "0.0", - "12.718669343275021", - "0.07169486664754804", - "1.6489819328936048" - ], - [ - "H00049-Ha001E-PBGa", - "4.091483737501437", - "30.23790368923112", - "21.48028962188254", - "1.3331800942420413", - "1.5860245948741525", - "0.9883921388346166", - "1.4481094127111827", - "0.19537984139754053", - "1.8388690955062637", - "0.0", - "15.940696471669924", - "0.1494081140098839", - "0.0", - "0.0", - "14.51557292265257", - "0.04597172738765659", - "6.148718538099069" - ], - [ - "H00052-Ha001E-PBGa", - "2.1750663129973478", - "28.236074270557026", - "11.618037135278515", - "2.1883289124668437", - "0.1989389920424403", - "0.5968169761273209", - "1.1140583554376657", - "0.1989389920424403", - "6.16710875331565", - "0.0", - "24.78779840848806", - "0.23872679045092837", - "0.0", - "0.0", - "18.156498673740053", - "0.2917771883289125", - "4.031830238726791" - ], - [ - "H00053-Ha001E-PBGa", - "2.7634346911455347", - "49.14897685982023", - "8.385924650984892", - "1.3386880856760375", - "0.4685408299866131", - "0.535475234270415", - "0.1434308663224326", - "0.19124115509657677", - "0.49722700325109964", - "0.009562057754828839", - "19.047619047619047", - "0.17211703958691912", - "0.028686173264486515", - "0.0", - "15.069803021610252", - "0.019124115509657678", - "2.1801491681009755" - ], - [ - "H00054-Ha001E-PBGa", - "4.772353263850795", - "32.30023770341927", - "15.852989577619308", - "2.596452733589322", - "0.34741268970561345", - "1.151947339550192", - "1.609069299689157", - "0.0731395136222344", - "0.8868166026695922", - "0.0", - "16.438105686597186", - "0.16456390565002743", - "0.054854635216675815", - "0.0", - "18.696288169683672", - "0.0182848784055586", - "5.0374840007313955" - ], - [ - "H00058-Ha001E-PBGa", - "5.421471882059208", - "45.99928664843657", - "15.075496373796218", - "1.9498276067055047", - "0.23778385447628106", - "0.5350136725716323", - "0.22589466175246703", - "0.059445963619070265", - "1.1651408869337772", - "0.0", - "10.367376055165854", - "0.34478658899060755", - "0.023778385447628107", - "0.0", - "12.69765782903341", - "0.07133515634288431", - "5.825704434668886" - ], - [ - "H00064-Ha001E-PBGa", - "2.964637064610476", - "41.19914916245679", - "12.15102366391917", - "2.672161659133209", - "0.15953203935123636", - "1.7282637596383938", - "0.9571922361074183", - "0.06647168306301515", - "0.9571922361074183", - "0.0", - "10.475937250731189", - "0.35894708854028184", - "0.03988300983780909", - "0.013294336612603033", - "21.0582291943632", - "0.026588673225206066", - "5.171496942302579" - ], - [ - "H00067-Ha001E-PBGa", - "4.628513124942027", - "29.737501159447177", - "28.605880716074576", - "3.6174751878304425", - "1.3078564140617752", - "1.0945181337538261", - "2.513681476671923", - "0.07420461923754754", - "1.5582970039884982", - "0.0", - "5.509692978387905", - "0.2597161673314164", - "0.018551154809386884", - "0.0", - "16.473425470735553", - "0.6029125313050737", - "3.9977738614228735" - ], - [ - "H00070-Ha001E-PBGa", - "2.1904169259489734", - "30.217797137523334", - "22.87492221530803", - "3.671437461107654", - "0.3484754200373366", - "0.9583074051026758", - "0.8462974486621033", - "0.09956440572495331", - "1.120099564405725", - "0.012445550715619164", - "9.831985065339142", - "0.14934660858743", - "0.0", - "0.0", - "23.01182327317984", - "0.11200995644057249", - "4.555071561916614" - ], - [ - "H00072-Ha001E-PBGa", - "3.4163544192197484", - "34.00925721842628", - "16.07890676658585", - "2.3363456028212477", - "0.969803835133348", - "0.903680846374256", - "2.7661450297553447", - "0.07714348688560722", - "0.34163544192197487", - "0.0", - "12.497244875468372", - "0.26449195503636763", - "0.07714348688560722", - "0.01102049812651532", - "20.134450077143487", - "0.2534714569098523", - "5.86290500330615" - ], - [ - "H00085-Ha001E-PBGa", - "5.362116991643454", - "36.629526462395546", - "31.78969359331476", - "1.0967966573816155", - "0.3307799442896936", - "1.0445682451253482", - "0.7137883008356546", - "0.034818941504178275", - "0.36559888579387184", - "0.0", - "10.323816155988858", - "0.17409470752089137", - "0.0", - "0.017409470752089137", - "7.816852367688022", - "0.0", - "4.300139275766017" - ], - [ - "N00006-Ja003E-PBGa", - "1.1890805560207671", - "41.63456707419193", - "20.767040696700718", - "0.9546139675096299", - "0.5526712443476804", - "0.7368949924635739", - "0.3851951096968682", - "0.10048568079048736", - "0.41869033662703065", - "0.016747613465081225", - "6.766035839892816", - "0.3851951096968682", - "0.11723329425556857", - "0.016747613465081225", - "24.20030145704237", - "0.0", - "1.7584994138335288" - ], - [ - "N00007-Ja003E-PBGa", - "9.164066349154213", - "33.93003777303334", - "9.147643291180819", - "0.5748070290688126", - "0.4105764493348662", - "1.6094596813926751", - "2.134997536541304", - "1.1824601740844145", - "1.1003448842174413", - "0.032846115946789295", - "8.76991295779274", - "0.5419609131220233", - "0.11496140581376253", - "0.6897684348825751", - "27.557891279356216", - "0.032846115946789295", - "3.0054196091312204" - ], - [ - "N00012-Ja003E-PBGa", - "1.9650655021834063", - "47.56706175920149", - "7.174048658764816", - "0.43668122270742354", - "0.3431066749844042", - "1.4348097317529631", - "0.18714909544603867", - "0.3119151590767312", - "0.40548970679975044", - "0.0", - "1.9338739862757333", - "1.1852776044915783", - "0.4678727386150967", - "0.09357454772301933", - "27.760449157829072", - "0.0", - "8.73362445414847" - ], - [ - "N00013-Ja005E-PBGa", - "1.1819716846343682", - "9.31289777893233", - "8.455643590076633", - "1.5456552799064815", - "0.07793219898688142", - "0.25977399662293804", - "0.9871411871671646", - "0.16885309780490973", - "0.0129886998311469", - "0.0259773996622938", - "2.3639433692687364", - "0.402649694765554", - "0.0259773996622938", - "0.06494349915573451", - "65.76178724509677", - "0.0", - "9.351863878425771" - ], - [ - "N00017-Ja003E-PBGa", - "4.263206672845228", - "9.036144578313253", - "5.977757182576459", - "2.0389249304911954", - "0.9731232622798889", - "0.6024096385542169", - "0.8804448563484708", - "2.2242817423540315", - "0.09267840593141798", - "0.0", - "4.5875810936051895", - "2.7340129749768303", - "2.2242817423540315", - "0.9267840593141797", - "59.916589434661724", - "0.0", - "3.5217794253938832" - ], - [ - "N00018-Ja003E-PBGa", - "1.0666332036641988", - "19.826828962228635", - "5.132388003513615", - "1.1042790814405823", - "0.05019450370184465", - "0.3262642740619902", - "0.5144936629439076", - "0.7905634333040532", - "0.05019450370184465", - "0.05019450370184465", - "2.7481490776759947", - "0.9035010666332036", - "0.5521395407202911", - "0.012548625925461163", - "55.791190864600324", - "0.0", - "11.080436692182207" - ], - [ - "N00021-Ja001E-PBGa", - "12.080149920715007", - "45.23569266253424", - "14.06948248522416", - "0.8649272019605017", - "0.21623180049012541", - "1.6433616837249532", - "0.34597088078420063", - "0.34597088078420063", - "0.04324636009802508", - "0.0", - "6.818509442121955", - "0.2594781605881505", - "0.0", - "0.04324636009802508", - "13.406371630387776", - "0.0", - "4.6273605304886845" - ], - [ - "N00023-Ja001E-PBGa", - "3.014116749332316", - "36.72262495230828", - "15.909958031285768", - "0.5818389927508585", - "3.9011827546737883", - "0.8584509729111025", - "0.753529187333079", - "0.12399847386493704", - "0.06676840900419688", - "0.009538344143456697", - "4.349484929416254", - "0.04769172071728348", - "0.17169019458222054", - "0.0", - "27.174742464708128", - "0.0", - "6.314383822968332" - ], - [ - "N00023-Ja003E-PBGa", - "1.165311653116531", - "19.132791327913278", - "17.520325203252032", - "0.7994579945799458", - "3.3062330623306235", - "0.7723577235772358", - "1.9647696476964769", - "0.08130081300813008", - "0.23035230352303526", - "0.0", - "11.314363143631438", - "0.13550135501355012", - "0.08130081300813008", - "0.0", - "40.731707317073166", - "0.0", - "2.7642276422764227" - ], - [ - "N00024-Ja001E-PBGa", - "1.0276760276760277", - "52.56410256410257", - "4.1208791208791204", - "0.641025641025641", - "0.11192511192511193", - "0.49857549857549854", - "0.26455026455026454", - "0.40700040700040696", - "0.13227513227513227", - "0.0", - "1.4041514041514043", - "0.0407000407000407", - "0.030525030525030524", - "0.0", - "33.34350834350835", - "0.0", - "5.413105413105413" - ], - [ - "N00025-Ja001E-PBGa", - "1.0703773080010703", - "12.38961734011239", - "5.351886540005352", - "1.097136740701097", - "0.1337971635001338", - "0.2675943270002676", - "0.24083489430024083", - "0.29435375970029437", - "0.02675943270002676", - "0.0", - "31.38881455713139", - "0.10703773080010703", - "0.3211131924003211", - "0.02675943270002676", - "44.07278565694408", - "0.0", - "3.2111319240032112" - ], - [ - "N00027-Ja001E-PBGa", - "7.845068110946989", - "29.968816674872805", - "8.600032824552766", - "1.7068767438043655", - "0.2461841457410143", - "0.26259642212374856", - "0.27900869850648286", - "0.22977186935828", - "0.08206138191367143", - "0.03282455276546857", - "4.36566551780732", - "0.18053504021007713", - "0.18053504021007713", - "0.016412276382734285", - "33.070736911209586", - "0.0", - "12.932873789594618" - ], - [ - "N00028-Ja001E-PBGa", - "9.278350515463918", - "28.028350515463917", - "5.979381443298969", - "0.5412371134020618", - "0.24484536082474226", - "0.4252577319587629", - "0.6314432989690721", - "0.19329896907216496", - "0.4639175257731959", - "0.0", - "5.77319587628866", - "0.36082474226804123", - "0.10309278350515465", - "0.012886597938144331", - "25.644329896907216", - "0.025773195876288662", - "22.29381443298969" - ], - [ - "N00028-Ja005E-PBGa", - "7.396271797955502", - "41.61154539987974", - "10.683503708157946", - "0.9420725596311886", - "0.38083784325516135", - "0.9420725596311886", - "1.503307276007216", - "0.28061735818801364", - "0.14030867909400682", - "0.0", - "8.177991581479255", - "1.3830426939266387", - "0.30066145520144316", - "0.0", - "22.79013830426939", - "0.0", - "3.4676287833233115" - ], - [ - "N00029-Ja005E-PBGa", - "5.472285067873303", - "19.994343891402718", - "8.880090497737557", - "2.1210407239819005", - "0.15554298642533937", - "0.8625565610859729", - "0.4242081447963801", - "0.31108597285067874", - "0.056561085972850686", - "0.0", - "4.991515837104073", - "0.3393665158371041", - "0.056561085972850686", - "0.0", - "52.38970588235294", - "0.014140271493212671", - "3.930995475113122" - ], - [ - "N00032-Ja001E-PBGa", - "10.91871091871092", - "30.649350649350648", - "15.218855218855218", - "0.3270803270803271", - "0.22126022126022124", - "1.568061568061568", - "0.5675805675805676", - "0.02886002886002886", - "0.0481000481000481", - "0.0", - "3.107263107263107", - "0.33670033670033667", - "0.08658008658008658", - "0.009620009620009619", - "30.63011063011063", - "0.0", - "6.281866281866281" - ], - [ - "N00033-Ja001E-PBGa", - "3.481645103607868", - "16.81918586304828", - "12.485536972756917", - "1.5041548332807404", - "0.32607552329862205", - "0.18933417481855475", - "3.6499421478910277", - "0.05259282633848743", - "1.4094877458714632", - "0.010518565267697486", - "3.3974965814662883", - "0.12622278321236985", - "0.021037130535394973", - "0.010518565267697486", - "50.383927632270954", - "0.0", - "6.132323551067635" - ], - [ - "N00037-Ja003E-PBGa", - "0.5199667221297837", - "33.19467554076539", - "15.162229617304494", - "0.7071547420965058", - "0.10399334442595673", - "0.5199667221297837", - "0.14559068219633944", - "0.4159733777038269", - "0.14559068219633944", - "0.06239600665557404", - "6.738768718801996", - "0.7071547420965058", - "0.16638935108153077", - "0.04159733777038269", - "28.993344425956742", - "0.0", - "12.375207986688853" - ], - [ - "N00038-Ja001E-PBGa", - "1.595598349381018", - "49.669876203576344", - "8.088033012379642", - "0.5914718019257221", - "0.3713892709766162", - "0.8253094910591471", - "0.5364511691884457", - "0.15130674002751032", - "1.4305364511691885", - "0.0", - "10.0", - "0.09628610729023383", - "0.9903713892709767", - "0.0", - "20.013755158184317", - "0.0", - "5.639614855570839" - ], - [ - "N00039-Ja001E-PBGa", - "7.911200807265388", - "27.063572149344097", - "14.248234106962665", - "0.544904137235116", - "0.343087790110999", - "0.3229061553985873", - "0.7063572149344097", - "0.6054490413723511", - "0.7265388496468214", - "0.0", - "24.1372351160444", - "7.709384460141272", - "0.0", - "0.0", - "14.692230070635723", - "0.0", - "0.9889001009081735" - ], - [ - "N00040-Ja001E-PBGa", - "0.0", - "6.704188048336368", - "2.0360867406058603", - "2.052640291342493", - "0.01655355073663301", - "0.11587485515643105", - "0.03310710147326602", - "0.34762456546929316", - "0.08276775368316504", - "0.0", - "1.8539976825028968", - "0.03310710147326602", - "0.0", - "0.03310710147326602", - "83.56232411852342", - "0.0", - "3.1286210892236386" - ], - [ - "N00044-Ja001E-PBGa", - "3.392094017094017", - "41.746794871794876", - "7.825854700854701", - "0.3205128205128205", - "0.2670940170940171", - "0.5341880341880342", - "1.1485042735042736", - "2.8044871794871797", - "0.0", - "0.05341880341880342", - "6.063034188034188", - "2.0566239316239314", - "2.911324786324786", - "0.08012820512820512", - "25.934829059829063", - "0.0", - "4.861111111111112" - ], - [ - "N00047-Ja005E-PBGa", - "0.2697400686611084", - "26.900441392839625", - "13.070132417851887", - "0.9073075036782736", - "0.14713094654242276", - "1.5203531142717017", - "1.569396763119176", - "1.569396763119176", - "0.7356547327121138", - "0.024521824423737126", - "3.6292300147130945", - "1.6184404119666502", - "0.196174595389897", - "0.04904364884747425", - "39.16135360470819", - "0.0", - "8.631682197155468" - ], - [ - "N00049-Ja005E-PBGa", - "1.441784548422198", - "29.51577801958651", - "10.636561479869423", - "0.73449401523395", - "2.2850924918389555", - "0.6800870511425462", - "2.720348204570185", - "0.13601741022850924", - "0.1632208922742111", - "0.0", - "19.423286180631123", - "0.2992383025027203", - "0.2720348204570185", - "0.0544069640914037", - "17.709466811751902", - "0.02720348204570185", - "13.900979325353646" - ], - [ - "N00050-Ja001E-PBGa", - "3.493699885452463", - "36.597938144329895", - "5.841924398625429", - "0.3436426116838488", - "0.1718213058419244", - "1.3172966781214204", - "0.572737686139748", - "1.088201603665521", - "0.0", - "0.0", - "6.0710194730813285", - "7.961053837342496", - "0.3436426116838488", - "0.0", - "35.79610538373425", - "0.057273768613974804", - "0.3436426116838488" - ], - [ - "S00002-Ja001E-PBCa", - "6.800518134715026", - "26.068652849740932", - "17.033678756476682", - "1.6515544041450776", - "0.939119170984456", - "0.8419689119170984", - "1.7487046632124352", - "0.2590673575129534", - "0.5505181347150259", - "0.0", - "4.3717616580310885", - "0.38860103626943004", - "0.0", - "0.0", - "30.310880829015545", - "0.0", - "9.03497409326425" - ], - [ - "S00003-Ja003E-PBCa", - "3.495366607055763", - "43.521378637619904", - "24.727686555031703", - "0.8291334742318323", - "0.5690131685904731", - "1.1380263371809463", - "3.1214436676963095", - "0.04877255730775484", - "0.6340432450008129", - "0.0", - "7.234596000650301", - "0.7478458787189075", - "0.08128759551292473", - "0.0", - "11.461550967322387", - "0.03251503820516989", - "2.357340269874817" - ], - [ - "S00005-Ja003E-PBCa", - "3.351698806244261", - "62.64156718702173", - "8.233853688399142", - "0.3520048974594429", - "0.9029690847872666", - "1.1019283746556474", - "0.3673094582185491", - "0.18365472910927455", - "0.6580961126415672", - "0.0", - "6.244260789715335", - "1.8977655341291706", - "0.4132231404958678", - "0.015304560759106214", - "11.570247933884298", - "0.061218243036424855", - "2.0048974594429136" - ] - ], - "shape": { - "columns": 17, - "rows": 138 - } - }, - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
cell_typecell_type_Bcell_type_CD4cell_type_CD8cell_type_DCcell_type_DNcell_type_DPcell_type_GDTcell_type_HSCcell_type_MAITcell_type_Mastcell_type_NKcell_type_PBcell_type_PLTcell_type_RETcell_type_cMonocell_type_iNKTcell_type_ncMono
scRNASeq_sample_ID
G05061-Ja005E-PBCa6.32490033.92143812.3668441.5978700.5326230.4993340.8988020.0665784.6770970.00000018.1591210.3162450.1664450.01664415.8122500.0332894.610519
G05064-Ja005E-PBCa3.40515847.14748216.4005811.8198061.2280900.7256892.1882330.0223291.3174050.0000007.4578540.4465780.0000000.00000014.3574860.0000003.483309
G05073-Ja005E-PBCa5.19433845.60940516.2787911.4875241.2476010.8397314.6545110.0119962.1952980.0119963.7308060.2039350.0479850.00000013.9635320.0839734.438580
G05077-Ja005E-PBCa5.84621129.23105614.5969091.3777700.4468441.3405320.4654630.1675670.8005960.01861922.8449081.0798730.0744740.01861918.0040960.0558563.630609
G05078-Ja005E-PBCa1.36638139.00010615.5915692.3408540.7626310.7308552.6480250.2118421.7371040.02118410.6662430.1482890.0211840.00000019.5212370.4978294.734668
......................................................
U00607-Ua005E-PBUa3.62389810.5778651.2732624.7012730.0979430.1958860.1958860.6856020.0979430.0000005.8765921.1753181.9588640.09794337.9040160.00000031.537708
U00613-Ua005E-PBUa7.83505226.39175316.9072160.7216490.4123710.3092781.6494850.0000000.1030930.0000005.1546391.2371130.2061860.00000037.9381440.0000001.134021
U00617-Ua005E-PBUa2.97723341.41856416.4623470.4378280.5253940.2626970.2626970.9632220.0875660.0000007.53064817.5131350.7880910.0875669.7197900.0000000.963222
U00619-Ua005E-PBUa3.53761835.07723015.8943700.8968610.6975590.2989542.4414551.1459890.0996510.09965117.5884402.8400604.5341310.00000010.3637270.0000004.484305
U00701-Ua005E-PBUa1.03211015.59633039.3348621.2614680.8027520.4587160.5733940.1146790.0000000.00000012.8440370.0000000.3440370.22935824.8853210.0000002.522936
\n", - "

138 rows × 17 columns

\n", - "
" ], - "text/plain": [ - "cell_type cell_type_B cell_type_CD4 cell_type_CD8 cell_type_DC \\\n", - "scRNASeq_sample_ID \n", - "G05061-Ja005E-PBCa 6.324900 33.921438 12.366844 1.597870 \n", - "G05064-Ja005E-PBCa 3.405158 47.147482 16.400581 1.819806 \n", - "G05073-Ja005E-PBCa 5.194338 45.609405 16.278791 1.487524 \n", - "G05077-Ja005E-PBCa 5.846211 29.231056 14.596909 1.377770 \n", - "G05078-Ja005E-PBCa 1.366381 39.000106 15.591569 2.340854 \n", - "... ... ... ... ... \n", - "U00607-Ua005E-PBUa 3.623898 10.577865 1.273262 4.701273 \n", - "U00613-Ua005E-PBUa 7.835052 26.391753 16.907216 0.721649 \n", - "U00617-Ua005E-PBUa 2.977233 41.418564 16.462347 0.437828 \n", - "U00619-Ua005E-PBUa 3.537618 35.077230 15.894370 0.896861 \n", - "U00701-Ua005E-PBUa 1.032110 15.596330 39.334862 1.261468 \n", - "\n", - "cell_type cell_type_DN cell_type_DP cell_type_GDT cell_type_HSC \\\n", - "scRNASeq_sample_ID \n", - "G05061-Ja005E-PBCa 0.532623 0.499334 0.898802 0.066578 \n", - "G05064-Ja005E-PBCa 1.228090 0.725689 2.188233 0.022329 \n", - "G05073-Ja005E-PBCa 1.247601 0.839731 4.654511 0.011996 \n", - "G05077-Ja005E-PBCa 0.446844 1.340532 0.465463 0.167567 \n", - "G05078-Ja005E-PBCa 0.762631 0.730855 2.648025 0.211842 \n", - "... ... ... ... ... \n", - "U00607-Ua005E-PBUa 0.097943 0.195886 0.195886 0.685602 \n", - "U00613-Ua005E-PBUa 0.412371 0.309278 1.649485 0.000000 \n", - "U00617-Ua005E-PBUa 0.525394 0.262697 0.262697 0.963222 \n", - "U00619-Ua005E-PBUa 0.697559 0.298954 2.441455 1.145989 \n", - "U00701-Ua005E-PBUa 0.802752 0.458716 0.573394 0.114679 \n", - "\n", - "cell_type cell_type_MAIT cell_type_Mast cell_type_NK \\\n", - "scRNASeq_sample_ID \n", - "G05061-Ja005E-PBCa 4.677097 0.000000 18.159121 \n", - "G05064-Ja005E-PBCa 1.317405 0.000000 7.457854 \n", - "G05073-Ja005E-PBCa 2.195298 0.011996 3.730806 \n", - "G05077-Ja005E-PBCa 0.800596 0.018619 22.844908 \n", - "G05078-Ja005E-PBCa 1.737104 0.021184 10.666243 \n", - "... ... ... ... \n", - "U00607-Ua005E-PBUa 0.097943 0.000000 5.876592 \n", - "U00613-Ua005E-PBUa 0.103093 0.000000 5.154639 \n", - "U00617-Ua005E-PBUa 0.087566 0.000000 7.530648 \n", - "U00619-Ua005E-PBUa 0.099651 0.099651 17.588440 \n", - "U00701-Ua005E-PBUa 0.000000 0.000000 12.844037 \n", - "\n", - "cell_type cell_type_PB cell_type_PLT cell_type_RET \\\n", - "scRNASeq_sample_ID \n", - "G05061-Ja005E-PBCa 0.316245 0.166445 0.016644 \n", - "G05064-Ja005E-PBCa 0.446578 0.000000 0.000000 \n", - "G05073-Ja005E-PBCa 0.203935 0.047985 0.000000 \n", - "G05077-Ja005E-PBCa 1.079873 0.074474 0.018619 \n", - "G05078-Ja005E-PBCa 0.148289 0.021184 0.000000 \n", - "... ... ... ... \n", - "U00607-Ua005E-PBUa 1.175318 1.958864 0.097943 \n", - "U00613-Ua005E-PBUa 1.237113 0.206186 0.000000 \n", - "U00617-Ua005E-PBUa 17.513135 0.788091 0.087566 \n", - "U00619-Ua005E-PBUa 2.840060 4.534131 0.000000 \n", - "U00701-Ua005E-PBUa 0.000000 0.344037 0.229358 \n", - "\n", - "cell_type cell_type_cMono cell_type_iNKT cell_type_ncMono \n", - "scRNASeq_sample_ID \n", - "G05061-Ja005E-PBCa 15.812250 0.033289 4.610519 \n", - "G05064-Ja005E-PBCa 14.357486 0.000000 3.483309 \n", - "G05073-Ja005E-PBCa 13.963532 0.083973 4.438580 \n", - "G05077-Ja005E-PBCa 18.004096 0.055856 3.630609 \n", - "G05078-Ja005E-PBCa 19.521237 0.497829 4.734668 \n", - "... ... ... ... \n", - "U00607-Ua005E-PBUa 37.904016 0.000000 31.537708 \n", - "U00613-Ua005E-PBUa 37.938144 0.000000 1.134021 \n", - "U00617-Ua005E-PBUa 9.719790 0.000000 0.963222 \n", - "U00619-Ua005E-PBUa 10.363727 0.000000 4.484305 \n", - "U00701-Ua005E-PBUa 24.885321 0.000000 2.522936 \n", - "\n", - "[138 rows x 17 columns]" + "source": [ + "composition.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols)" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "composition_metadata = patpy.pp.calculate_compositional_metrics(adata, sample_id_col, [cell_type_key], normalize_to=100)\n", - "composition_metadata" - ] - }, - { - "cell_type": "markdown", - "id": "0229e578", - "metadata": {}, - "source": [ - "Merge metadata tables" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "a8c20440", - "metadata": {}, - "outputs": [], - "source": [ - "metadata = pd.concat(\n", - " [\n", - " metadata,\n", - " cell_qc_metadata.loc[metadata.index],\n", - " n_genes_metadata.loc[metadata.index],\n", - " composition_metadata.loc[metadata.index],\n", - " ],\n", - " axis=1,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "af253b8b", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "(138, 26)" + "cell_type": "markdown", + "id": "10d8cc03", + "metadata": {}, + "source": [ + "We can also visualise cell type proportions for each sample:" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "metadata.shape" - ] - }, - { - "cell_type": "markdown", - "id": "bcf522ba", - "metadata": {}, - "source": [ - "# Quality control\n", - "\n", - "To reduce noise in the representations, we need to remove samples with too few cells:" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "8a5ed833", - "metadata": {}, - "outputs": [ + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "0 samples removed: \n" - ] - } - ], - "source": [ - "adata = patpy.pp.filter_small_samples(adata, sample_key=sample_id_col, sample_size_threshold=100)" - ] - }, - { - "cell_type": "markdown", - "id": "0f5dd4f7", - "metadata": {}, - "source": [ - "If necessary, we can also remove cell types with too few cells in at least one sample:\n", - "\n", - "`adata = patpy.pp.filter_small_cell_types(adata, sample_key=sample_id_col, cell_group_key=cell_type_key, cell_type_size_threshold=10)`\n", - "\n", - "Some methods require this filtering step prior to building representation. In this notebook, we'll focus on simpler methods that can be used with only sample filtering." - ] - }, - { - "cell_type": "markdown", - "id": "8651ac51", - "metadata": {}, - "source": [ - "## Run a simple pseudobulk representation" - ] - }, - { - "cell_type": "markdown", - "id": "8e1345a9", - "metadata": {}, - "source": [ - "This method aggregates all cells from each sample into a single vector. It can be interpreted as an average cell from each sample. Any input space can be used specified by `layer` parameter. For example, to use count data, use `layer=\"X\"` or `layer=\"raw\"`. We find batch-corrected space to be the best for the representation, so we use `layer=\"X_scVI_batch\"` below." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "5bcbc398", - "metadata": {}, - "outputs": [], - "source": [ - "pseudobulk = patpy.tl.Pseudobulk(sample_key=sample_id_col, cell_group_key=cell_type_key, layer=\"X_scVI_batch\")\n", - "pseudobulk.prepare_anndata(adata)" - ] - }, - { - "cell_type": "markdown", - "id": "bff1aeaa", - "metadata": {}, - "source": [ - "## Calculate a matrix of distances between samples" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "8bd2f018", - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": 26, + "id": "ac75bbaa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "composition.sample_representation.plot(kind=\"bar\", stacked=True, figsize=(10, 8), width=0.8)\n", + "plt.xticks([])\n", + "plt.legend(loc=(1.05, 0), title=\"Cell type\");" + ] + }, { - "data": { - "text/plain": [ - "array([[0. , 2.13826083, 3.26751086, ..., 2.26537604, 3.47556017,\n", - " 3.50837059],\n", - " [2.13826083, 0. , 2.57066436, ..., 2.67332482, 3.12726692,\n", - " 2.3833747 ],\n", - " [3.26751086, 2.57066436, 0. , ..., 3.81414183, 3.50147504,\n", - " 2.11261287],\n", - " ...,\n", - " [2.26537604, 2.67332482, 3.81414183, ..., 0. , 3.55756191,\n", - " 4.0558818 ],\n", - " [3.47556017, 3.12726692, 3.50147504, ..., 3.55756191, 0. ,\n", - " 2.70576771],\n", - " [3.50837059, 2.3833747 , 2.11261287, ..., 4.0558818 , 2.70576771,\n", - " 0. ]], shape=(138, 138))" + "cell_type": "markdown", + "id": "ddc96251", + "metadata": {}, + "source": [ + "We can see that cell type composition reflects patient outcome worse than pseudobulk:" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "distances = pseudobulk.calculate_distance_matrix(force=True)\n", - "distances" - ] - }, - { - "cell_type": "markdown", - "id": "e934a3e8", - "metadata": {}, - "source": [ - "We can also see the pseudobulks for each sample:" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "2bdacf12", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "array([[-0.39708972, -0.1610353 , -0.60592145, ..., 0.04138801,\n", - " -0.23706943, 0.03939089],\n", - " [-0.16564418, 0.15338482, -0.00623349, ..., -0.36909145,\n", - " -0.61890358, -0.26146826],\n", - " [-0.91906726, -0.34432968, -0.03022187, ..., -1.03792512,\n", - " -0.26926878, 0.30427763],\n", - " ...,\n", - " [ 0.07143331, -0.52035475, -0.04083514, ..., -0.01975986,\n", - " -0.2641018 , -0.32993519],\n", - " [-0.86681354, -0.71001476, 0.40946293, ..., 0.38672951,\n", - " 0.59467804, 0.03230282],\n", - " [-0.98729014, -0.46418488, 0.28515279, ..., -0.19687848,\n", - " -0.42034405, 0.18162856]], shape=(138, 30))" + "cell_type": "code", + "execution_count": 27, + "id": "4b4d59f5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'score': np.float64(0.4739538892493282),\n", + " 'metric': 'spearman_r',\n", + " 'n_unique': 6,\n", + " 'n_observations': 113,\n", + " 'method': 'knn'}" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "composition.evaluate_representation(target=\"Outcome\", method=\"knn\", n_neighbors=5, task=\"ranking\")" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pseudobulk.sample_representation" - ] - }, - { - "cell_type": "markdown", - "id": "141b6414", - "metadata": {}, - "source": [ - "We can then visualise sample representation using dimensionality reduction methods:" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "eb995473", - "metadata": {}, - "outputs": [ + }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "code", + "execution_count": 28, + "id": "7e05f612", + "metadata": {}, + "outputs": [], + "source": [ + "adata.uns[\"composition_distances\"] = composition_distances\n", + "adata.uns[\"composition_samples\"] = composition.samples" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pseudobulk.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols);" - ] - }, - { - "cell_type": "markdown", - "id": "4b70c494", - "metadata": {}, - "source": [ - "Other dimensionality reduction methods are also available" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "828ad784", - "metadata": {}, - "outputs": [ + }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "id": "56a34316", + "metadata": {}, + "source": [ + "## Run PILOT representation" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pseudobulk.plot_embedding(method=\"TSNE\", metadata_cols=samples_metadata_cols);" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "8d55cbba", - "metadata": {}, - "outputs": [ + }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "id": "37fc64f2", + "metadata": {}, + "source": [ + "[PILOT](https://pubmed.ncbi.nlm.nih.gov/38177382/) is an Optimal Transport-based tool, which calculates distances between samples based on cell type proportion differences taking into account cell type similarities. Note that to run it, you need to install the dependencies additionally:\n", + "\n", + "`pip install patpy[pilot]`" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pseudobulk.plot_embedding(method=\"MDS\", metadata_cols=samples_metadata_cols);" - ] - }, - { - "cell_type": "markdown", - "id": "757eae88", - "metadata": {}, - "source": [ - "### Evaluate how well a covariate is represented" - ] - }, - { - "cell_type": "markdown", - "id": "a0465902", - "metadata": {}, - "source": [ - "Let's try to classify \"Outcome\" based on the nearest neighbors for each sample in the representation:" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "dc8331f1", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "{'score': np.float64(0.13977126662840952),\n", - " 'metric': 'f1_macro_calibrated',\n", - " 'n_unique': 6,\n", - " 'n_observations': 113,\n", - " 'method': 'knn'}" + "cell_type": "code", + "execution_count": 29, + "id": "02532556", + "metadata": {}, + "outputs": [], + "source": [ + "pilot = patpy.tl.PILOT(\n", + " sample_key=sample_id_col,\n", + " cell_group_key=cell_type_key,\n", + " layer=\"X_scVI_batch\",\n", + " sample_state_col=\"Outcome\", # It is not used for distances calculation and doesn't really matter\n", + ")" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pseudobulk.evaluate_representation(target=\"Outcome\", method=\"knn\", n_neighbors=5, task=\"classification\")" - ] - }, - { - "cell_type": "markdown", - "id": "66b9a50a", - "metadata": {}, - "source": [ - "It doesn't work too good. Now we can try to solve the ranking problem for the same covariate. It will train regressor and use a different metric for evaluation:" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "302646d6", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "{'score': np.float64(0.6103813851943187),\n", - " 'metric': 'spearman_r',\n", - " 'n_unique': 6,\n", - " 'n_observations': 113,\n", - " 'method': 'knn'}" + "cell_type": "code", + "execution_count": 30, + "id": "1ff4c040", + "metadata": {}, + "outputs": [], + "source": [ + "pilot.prepare_anndata(adata)" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pseudobulk.evaluate_representation(target=\"Outcome\", method=\"knn\", n_neighbors=5, task=\"ranking\")" - ] - }, - { - "cell_type": "markdown", - "id": "e54c8099", - "metadata": {}, - "source": [ - "Now let's see how well Pool is represented. This is a technical covariate so we don't want score to be high:" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "6d8c9204", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "{'score': np.float64(0.13579292359838518),\n", - " 'metric': 'f1_macro_calibrated',\n", - " 'n_unique': 10,\n", - " 'n_observations': 138,\n", - " 'method': 'knn'}" + "cell_type": "code", + "execution_count": 33, + "id": "8ba4c895", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[0. , 0.14451829, 0.42457524, ..., 0.10953257, 0.21343671,\n", + " 0.36804272],\n", + " [0.14451829, 0. , 0.32280757, ..., 0.10045083, 0.13157015,\n", + " 0.25766875],\n", + " [0.42457524, 0.32280757, 0. , ..., 0.36857701, 0.23438838,\n", + " 0.08670158],\n", + " ...,\n", + " [0.10953257, 0.10045083, 0.36857701, ..., 0. , 0.17271665,\n", + " 0.31134621],\n", + " [0.21343671, 0.13157015, 0.23438838, ..., 0.17271665, 0. ,\n", + " 0.21202688],\n", + " [0.36804272, 0.25766875, 0.08670158, ..., 0.31134621, 0.21202688,\n", + " 0. ]], shape=(138, 138))" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pilot.calculate_distance_matrix()" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pseudobulk.evaluate_representation(target=\"Pool_ID\", method=\"knn\", n_neighbors=5, task=\"classification\")" - ] - }, - { - "cell_type": "markdown", - "id": "3d5a3e71", - "metadata": {}, - "source": [ - "Save the distances to adata to use later" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "11969c55", - "metadata": {}, - "outputs": [], - "source": [ - "adata.uns[\"pseudobulk_distances\"] = distances\n", - "adata.uns[\"pseudobulk_samples\"] = pseudobulk.samples\n", - "adata.uns[\"pseudobulk_UMAP\"] = pseudobulk.embeddings[\"UMAP\"]" - ] - }, - { - "cell_type": "markdown", - "id": "1b71d754", - "metadata": {}, - "source": [ - "## Run cell type composition representation" - ] - }, - { - "cell_type": "markdown", - "id": "7cd94e9e", - "metadata": {}, - "source": [ - "This representation is based on cell type composition differences. It is calculated as a difference between cell type proportions in each sample." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "c919c382", - "metadata": {}, - "outputs": [], - "source": [ - "composition = patpy.tl.CellGroupComposition(sample_key=sample_id_col, cell_group_key=cell_type_key, layer=\"X_scVI\")\n", - "composition.prepare_anndata(adata)\n", - "composition_distances = composition.calculate_distance_matrix(force=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "0c4debec", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "array([,\n", - " ,\n", - " ,\n", - " ,\n", - " ], dtype=object)" + "cell_type": "code", + "execution_count": 34, + "id": "cc3a707e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pilot.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols);" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "code", + "execution_count": 35, + "id": "ae05f144", + "metadata": {}, + "outputs": [], + "source": [ + "adata.uns[\"pilot_distances\"] = pilot.calculate_distance_matrix()\n", + "adata.uns[\"pilot_samples\"] = pilot.samples\n", + "adata.uns[\"pilot_UMAP\"] = pilot.embeddings[\"UMAP\"]" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "composition.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols)" - ] - }, - { - "cell_type": "markdown", - "id": "10d8cc03", - "metadata": {}, - "source": [ - "We can also visualise cell type proportions for each sample:" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "ac75bbaa", - "metadata": {}, - "outputs": [ + }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "id": "51bce02f", + "metadata": {}, + "source": [ + "Let's check the covariates:" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "composition.sample_representation.plot(kind=\"bar\", stacked=True, figsize=(10, 8), width=0.8)\n", - "plt.xticks([])\n", - "plt.legend(loc=(1.05, 0), title=\"Cell type\");" - ] - }, - { - "cell_type": "markdown", - "id": "ddc96251", - "metadata": {}, - "source": [ - "We can see that cell type composition reflects patient outcome worse than pseudobulk:" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "4b4d59f5", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "{'score': np.float64(0.4739538892493282),\n", - " 'metric': 'spearman_r',\n", - " 'n_unique': 6,\n", - " 'n_observations': 113,\n", - " 'method': 'knn'}" + "cell_type": "code", + "execution_count": 36, + "id": "af9f4cb9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'score': np.float64(0.48835133146990367),\n", + " 'metric': 'spearman_r',\n", + " 'n_unique': 6,\n", + " 'n_observations': 113,\n", + " 'method': 'knn'}" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pilot.evaluate_representation(target=\"Outcome\", method=\"knn\", n_neighbors=5, task=\"ranking\")" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "composition.evaluate_representation(target=\"Outcome\", method=\"knn\", n_neighbors=5, task=\"ranking\")" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "7e05f612", - "metadata": {}, - "outputs": [], - "source": [ - "adata.uns[\"composition_distances\"] = composition_distances\n", - "adata.uns[\"composition_samples\"] = composition.samples" - ] - }, - { - "cell_type": "markdown", - "id": "56a34316", - "metadata": {}, - "source": [ - "## Run PILOT representation" - ] - }, - { - "cell_type": "markdown", - "id": "37fc64f2", - "metadata": {}, - "source": [ - "[PILOT](https://pubmed.ncbi.nlm.nih.gov/38177382/) is an Optimal Transport-based tool, which calculates distances between samples based on cell type proportion differences taking into account cell type similarities. Note that to run it, you need to install the dependencies additionally:\n", - "\n", - "`pip install patpy[pilot]`" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "02532556", - "metadata": {}, - "outputs": [], - "source": [ - "pilot = patpy.tl.PILOT(\n", - " sample_key=sample_id_col,\n", - " cell_group_key=cell_type_key,\n", - " layer=\"X_scVI_batch\",\n", - " sample_state_col=\"Outcome\", # It is not used for distances calculation and doesn't really matter\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "1ff4c040", - "metadata": {}, - "outputs": [], - "source": [ - "pilot.prepare_anndata(adata)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "8ba4c895", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "array([[0. , 0.14451829, 0.42457524, ..., 0.10953257, 0.21343671,\n", - " 0.36804272],\n", - " [0.14451829, 0. , 0.32280757, ..., 0.10045083, 0.13157015,\n", - " 0.25766875],\n", - " [0.42457524, 0.32280757, 0. , ..., 0.36857701, 0.23438838,\n", - " 0.08670158],\n", - " ...,\n", - " [0.10953257, 0.10045083, 0.36857701, ..., 0. , 0.17271665,\n", - " 0.31134621],\n", - " [0.21343671, 0.13157015, 0.23438838, ..., 0.17271665, 0. ,\n", - " 0.21202688],\n", - " [0.36804272, 0.25766875, 0.08670158, ..., 0.31134621, 0.21202688,\n", - " 0. ]], shape=(138, 138))" + "cell_type": "code", + "execution_count": 37, + "id": "1958fd84", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'score': np.float64(0.01832203003010072),\n", + " 'metric': 'f1_macro_calibrated',\n", + " 'n_unique': 10,\n", + " 'n_observations': 138,\n", + " 'method': 'knn'}" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pilot.evaluate_representation(target=\"Pool_ID\", method=\"knn\", n_neighbors=5, task=\"classification\")" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pilot.calculate_distance_matrix()" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "cc3a707e", - "metadata": {}, - "outputs": [ + }, { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "cell_type": "markdown", + "id": "4b9e214f", + "metadata": {}, + "source": [ + "Outcome is represented a bit worse, but Pool ID almost doesn't affect the representation" ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pilot.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols);" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "ae05f144", - "metadata": {}, - "outputs": [], - "source": [ - "adata.uns[\"pilot_distances\"] = pilot.calculate_distance_matrix()\n", - "adata.uns[\"pilot_samples\"] = pilot.samples\n", - "adata.uns[\"pilot_UMAP\"] = pilot.embeddings[\"UMAP\"]" - ] - }, - { - "cell_type": "markdown", - "id": "51bce02f", - "metadata": {}, - "source": [ - "Let's check the covariates:" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "af9f4cb9", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "{'score': np.float64(0.48835133146990367),\n", - " 'metric': 'spearman_r',\n", - " 'n_unique': 6,\n", - " 'n_observations': 113,\n", - " 'method': 'knn'}" + "cell_type": "markdown", + "id": "85a519e0", + "metadata": {}, + "source": [ + "# Compare representations" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pilot.evaluate_representation(target=\"Outcome\", method=\"knn\", n_neighbors=5, task=\"ranking\")" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "id": "1958fd84", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "{'score': np.float64(0.01832203003010072),\n", - " 'metric': 'f1_macro_calibrated',\n", - " 'n_unique': 10,\n", - " 'n_observations': 138,\n", - " 'method': 'knn'}" + "cell_type": "markdown", + "id": "937e1e39", + "metadata": {}, + "source": [ + "Let's write a small function to put all the sample representations into a single object. It will make sure that the order of samples is identical and cluster the patients" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pilot.evaluate_representation(target=\"Pool_ID\", method=\"knn\", n_neighbors=5, task=\"classification\")" - ] - }, - { - "cell_type": "markdown", - "id": "4b9e214f", - "metadata": {}, - "source": [ - "Outcome is represented a bit worse, but Pool ID almost doesn't affect the representation" - ] - }, - { - "cell_type": "markdown", - "id": "85a519e0", - "metadata": {}, - "source": [ - "# Compare representations" - ] - }, - { - "cell_type": "markdown", - "id": "937e1e39", - "metadata": {}, - "source": [ - "Let's write a small function to put all the sample representations into a single object. It will make sure that the order of samples is identical and cluster the patients" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "e39356a3", - "metadata": {}, - "outputs": [], - "source": [ - "def align_representations(adata, meta_adata, samples, methods):\n", - " \"\"\"\n", - " Align representations of different methods to have the same order of samples.\n", - "\n", - " Additionally runs clustering with Leiden algorithm.\n", - " \"\"\"\n", - " for method in methods:\n", - " # samples_to_take = np.isin(adata.uns[f\"{method}_samples\"], samples)\n", - " representation_samples = adata.uns[f\"{method}_samples\"].tolist()\n", - " samples_order = [representation_samples.index(sample) for sample in samples if sample in representation_samples]\n", - "\n", - " assert (adata.uns[f\"{method}_samples\"][samples_order] == samples).all(), \"Order of samples is not correct\"\n", - "\n", - " # meta_adata.obsm[\"umap\"] = meta_adata.obsm[f\"{method}_UMAP\"]\n", - " meta_adata.obsm[f\"{method}_distances\"] = adata.uns[f\"{method}_distances\"][samples_order][:, samples_order]\n", - "\n", - " ep.pp.neighbors(\n", - " meta_adata, use_rep=f\"{method}_distances\", key_added=f\"{method}_neighbors\", metric=\"precomputed\"\n", - " )\n", - " ep.tl.leiden(meta_adata, key_added=f\"{method}_leiden\", neighbors_key=f\"{method}_neighbors\")\n", - "\n", - " return meta_adata" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "id": "d520d792", - "metadata": {}, - "outputs": [], - "source": [ - "combat_methods = [\n", - " \"pseudobulk\",\n", - " \"composition\",\n", - " \"pilot\",\n", - "]" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "b782792f", - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "138" + "cell_type": "code", + "execution_count": 38, + "id": "e39356a3", + "metadata": {}, + "outputs": [], + "source": [ + "def align_representations(adata, meta_adata, samples, methods):\n", + " \"\"\"\n", + " Align representations of different methods to have the same order of samples.\n", + "\n", + " Additionally runs clustering with Leiden algorithm.\n", + " \"\"\"\n", + " for method in methods:\n", + " # samples_to_take = np.isin(adata.uns[f\"{method}_samples\"], samples)\n", + " representation_samples = adata.uns[f\"{method}_samples\"].tolist()\n", + " samples_order = [representation_samples.index(sample) for sample in samples if sample in representation_samples]\n", + "\n", + " assert (adata.uns[f\"{method}_samples\"][samples_order] == samples).all(), \"Order of samples is not correct\"\n", + "\n", + " # meta_adata.obsm[\"umap\"] = meta_adata.obsm[f\"{method}_UMAP\"]\n", + " meta_adata.obsm[f\"{method}_distances\"] = adata.uns[f\"{method}_distances\"][samples_order][:, samples_order]\n", + "\n", + " ep.pp.neighbors(\n", + " meta_adata, use_rep=f\"{method}_distances\", key_added=f\"{method}_neighbors\", metric=\"precomputed\"\n", + " )\n", + " ep.tl.leiden(meta_adata, key_added=f\"{method}_leiden\", neighbors_key=f\"{method}_neighbors\")\n", + "\n", + " return meta_adata" ] - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "combat_samples = list(set(adata.uns[f\"{method}_samples\"]) for method in combat_methods)\n", - "combat_samples = list(set.intersection(*combat_samples))\n", - "len(combat_samples)" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "c4110562", - "metadata": {}, - "outputs": [], - "source": [ - "metadata = metadata.loc[combat_samples]" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "id": "e8b056b7", - "metadata": {}, - "outputs": [ + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[93m!\u001b[0m Feature 'Death28' was detected as categorical features stored numerically. Adjust using `ed.replace_feature_types` if needed.\n" - ] + "cell_type": "code", + "execution_count": 39, + "id": "d520d792", + "metadata": {}, + "outputs": [], + "source": [ + "combat_methods = [\n", + " \"pseudobulk\",\n", + " \"composition\",\n", + " \"pilot\",\n", + "]" + ] }, { - "data": { - "text/html": [ - "
\n"
+      "cell_type": "code",
+      "execution_count": 40,
+      "id": "b782792f",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "138"
+            ]
+          },
+          "execution_count": null,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
       ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "source": [
+        "combat_samples = list(set(adata.uns[f\"{method}_samples\"]) for method in combat_methods)\n",
+        "combat_samples = list(set.intersection(*combat_samples))\n",
+        "len(combat_samples)"
+      ]
     },
     {
-     "data": {
-      "text/plain": [
-       "EHRData object with n_obs × n_vars × n_t = 138 × 43 × 1\n",
-       "    obs: 'Source', 'Institute', 'Pool_ID'\n",
-       "    var: 'feature_type', 'unencoded_var_names', 'encoding_mode'\n",
-       "    layers: 'original'\n",
-       "    shape of .X: (138, 43)\n",
-       "    shape of .original: (138, 43)"
+      "cell_type": "code",
+      "execution_count": 41,
+      "id": "c4110562",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "metadata = metadata.loc[combat_samples]"
       ]
-     },
-     "execution_count": null,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "combat_meta_adata = ed.io.from_pandas(metadata)\n",
-    "combat_meta_adata = ep.pp.encode(combat_meta_adata, autodetect=True)\n",
-    "combat_meta_adata"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "id": "aa76d3dd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "combat_meta_adata = align_representations(\n",
-    "    adata=adata,\n",
-    "    meta_adata=combat_meta_adata,\n",
-    "    samples=combat_samples,\n",
-    "    methods=combat_methods,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0abd54ce",
-   "metadata": {},
-   "source": [
-    "## Define types and prediction tasks for the covariates"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "id": "e8e82bdb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "benchmark_schema = {\n",
-    "    \"technical\": [\"Institute\", \"Pool_ID\", \"n_cells\", \"median_QC_ngenes\"],\n",
-    "    \"clinical\": [\"Death28\", \"Outcome\", \"Source\"],\n",
-    "}\n",
-    "\n",
-    "cols_with_tasks = {\n",
-    "    \"Institute\": \"classification\",\n",
-    "    \"Pool_ID\": \"classification\",\n",
-    "    \"n_cells\": \"regression\",\n",
-    "    \"median_QC_ngenes\": \"regression\",\n",
-    "    \"Death28\": \"classification\",\n",
-    "    \"Outcome\": \"ranking\",\n",
-    "    \"Source\": \"classification\",\n",
-    "}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "id": "cfa7da7d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results = []\n",
-    "\n",
-    "for method in combat_methods:\n",
-    "    for covariate_type in benchmark_schema:\n",
-    "        for col in benchmark_schema[covariate_type]:\n",
-    "            task = cols_with_tasks[col]\n",
-    "            try:\n",
-    "                result = patpy.tl.evaluate_representation(\n",
-    "                    distances=combat_meta_adata.obsm[f\"{method}_distances\"],\n",
-    "                    target=metadata[col],\n",
-    "                    method=\"knn\",\n",
-    "                    task=task,\n",
-    "                    #             n_neighbors=5\n",
-    "                )\n",
-    "            except Exception as e:\n",
-    "                print(\"Method:\", method)\n",
-    "                print(\"Col:\", col)\n",
-    "                print(\"Task:\", task)\n",
-    "                print(e)\n",
-    "                print()\n",
-    "                continue\n",
-    "            #             raise(e)\n",
-    "            result[\"representation\"] = method\n",
-    "            result[\"covariate\"] = col\n",
-    "            result[\"covariate_type\"] = covariate_type\n",
-    "\n",
-    "            if result[\"metric\"] == \"spearman_r\":\n",
-    "                result[\"score\"] = abs(result[\"score\"])\n",
-    "\n",
-    "            if covariate_type == \"technical\":\n",
-    "                result[\"score\"] = 1 - result[\"score\"]\n",
-    "\n",
-    "            results.append(result)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3f131e7b",
-   "metadata": {},
-   "source": [
-    "Scores are ranged from 0 to 1\n",
-    "\n",
-    "- For covariates that we defined as technical, 0 means that covariate strongly affects the representation, and 1 means that this covariate is randomly distributed across representation\n",
-    "- For biological and clinical covariates, 0 means that a covariate is not represented well (it is randomly distributed), while 1 means that similar patients have similar values of covariate "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "id": "8646511d",
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
-       "columns": [
-        {
-         "name": "index",
-         "rawType": "int64",
-         "type": "integer"
-        },
+      "cell_type": "code",
+      "execution_count": 45,
+      "id": "e8b056b7",
+      "metadata": {},
+      "outputs": [
         {
-         "name": "score",
-         "rawType": "float64",
-         "type": "float"
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "\u001b[93m!\u001b[0m Feature 'Death28' was detected as categorical features stored numerically. Adjust using `ed.replace_feature_types` if needed.\n"
+          ]
         },
         {
-         "name": "metric",
-         "rawType": "object",
-         "type": "string"
+          "data": {
+            "text/html": [
+              "
\n"
+            ],
+            "text/plain": []
+          },
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-         "name": "n_unique",
-         "rawType": "int64",
-         "type": "integer"
-        },
-        {
-         "name": "n_observations",
-         "rawType": "int64",
-         "type": "integer"
-        },
-        {
-         "name": "method",
-         "rawType": "object",
-         "type": "string"
-        },
+          "data": {
+            "text/plain": [
+              "EHRData object with n_obs × n_vars × n_t = 138 × 43 × 1\n",
+              "    obs: 'Source', 'Institute', 'Pool_ID'\n",
+              "    var: 'feature_type', 'unencoded_var_names', 'encoding_mode'\n",
+              "    layers: 'original'\n",
+              "    shape of .X: (138, 43)\n",
+              "    shape of .original: (138, 43)"
+            ]
+          },
+          "execution_count": null,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "combat_meta_adata = ed.io.from_pandas(metadata)\n",
+        "combat_meta_adata = ep.pp.encode(combat_meta_adata, autodetect=True)\n",
+        "combat_meta_adata"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 46,
+      "id": "aa76d3dd",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "combat_meta_adata = align_representations(\n",
+        "    adata=adata,\n",
+        "    meta_adata=combat_meta_adata,\n",
+        "    samples=combat_samples,\n",
+        "    methods=combat_methods,\n",
+        ")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "0abd54ce",
+      "metadata": {},
+      "source": [
+        "## Define types and prediction tasks for the covariates"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 47,
+      "id": "e8e82bdb",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "benchmark_schema = {\n",
+        "    \"technical\": [\"Institute\", \"Pool_ID\", \"n_cells\", \"median_QC_ngenes\"],\n",
+        "    \"clinical\": [\"Death28\", \"Outcome\", \"Source\"],\n",
+        "}\n",
+        "\n",
+        "cols_with_tasks = {\n",
+        "    \"Institute\": \"classification\",\n",
+        "    \"Pool_ID\": \"classification\",\n",
+        "    \"n_cells\": \"regression\",\n",
+        "    \"median_QC_ngenes\": \"regression\",\n",
+        "    \"Death28\": \"classification\",\n",
+        "    \"Outcome\": \"ranking\",\n",
+        "    \"Source\": \"classification\",\n",
+        "}"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 48,
+      "id": "cfa7da7d",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "results = []\n",
+        "\n",
+        "for method in combat_methods:\n",
+        "    for covariate_type in benchmark_schema:\n",
+        "        for col in benchmark_schema[covariate_type]:\n",
+        "            task = cols_with_tasks[col]\n",
+        "            try:\n",
+        "                result = patpy.tl.evaluate_representation(\n",
+        "                    distances=combat_meta_adata.obsm[f\"{method}_distances\"],\n",
+        "                    target=metadata[col],\n",
+        "                    method=\"knn\",\n",
+        "                    task=task,\n",
+        "                    #             n_neighbors=5\n",
+        "                )\n",
+        "            except Exception as e:\n",
+        "                print(\"Method:\", method)\n",
+        "                print(\"Col:\", col)\n",
+        "                print(\"Task:\", task)\n",
+        "                print(e)\n",
+        "                print()\n",
+        "                continue\n",
+        "            #             raise(e)\n",
+        "            result[\"representation\"] = method\n",
+        "            result[\"covariate\"] = col\n",
+        "            result[\"covariate_type\"] = covariate_type\n",
+        "\n",
+        "            if result[\"metric\"] == \"spearman_r\":\n",
+        "                result[\"score\"] = abs(result[\"score\"])\n",
+        "\n",
+        "            if covariate_type == \"technical\":\n",
+        "                result[\"score\"] = 1 - result[\"score\"]\n",
+        "\n",
+        "            results.append(result)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "3f131e7b",
+      "metadata": {},
+      "source": [
+        "Scores are ranged from 0 to 1\n",
+        "\n",
+        "- For covariates that we defined as technical, 0 means that covariate strongly affects the representation, and 1 means that this covariate is randomly distributed across representation\n",
+        "- For biological and clinical covariates, 0 means that a covariate is not represented well (it is randomly distributed), while 1 means that similar patients have similar values of covariate "
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 49,
+      "id": "8646511d",
+      "metadata": {},
+      "outputs": [
         {
-         "name": "representation",
-         "rawType": "object",
-         "type": "string"
-        },
+          "data": {
+            "application/vnd.microsoft.datawrangler.viewer.v0+json": {
+              "columns": [
+                {
+                  "name": "index",
+                  "rawType": "int64",
+                  "type": "integer"
+                },
+                {
+                  "name": "score",
+                  "rawType": "float64",
+                  "type": "float"
+                },
+                {
+                  "name": "metric",
+                  "rawType": "object",
+                  "type": "string"
+                },
+                {
+                  "name": "n_unique",
+                  "rawType": "int64",
+                  "type": "integer"
+                },
+                {
+                  "name": "n_observations",
+                  "rawType": "int64",
+                  "type": "integer"
+                },
+                {
+                  "name": "method",
+                  "rawType": "object",
+                  "type": "string"
+                },
+                {
+                  "name": "representation",
+                  "rawType": "object",
+                  "type": "string"
+                },
+                {
+                  "name": "covariate",
+                  "rawType": "object",
+                  "type": "string"
+                },
+                {
+                  "name": "covariate_type",
+                  "rawType": "object",
+                  "type": "string"
+                }
+              ],
+              "ref": "42899ae8-35a4-47b7-b380-c2d17e136f62",
+              "rows": [
+                [
+                  "0",
+                  "1.0",
+                  "f1_macro_calibrated",
+                  "2",
+                  "138",
+                  "knn",
+                  "pseudobulk",
+                  "Institute",
+                  "technical"
+                ],
+                [
+                  "8",
+                  "1.0",
+                  "f1_macro_calibrated",
+                  "10",
+                  "138",
+                  "knn",
+                  "composition",
+                  "Pool_ID",
+                  "technical"
+                ],
+                [
+                  "15",
+                  "1.0",
+                  "f1_macro_calibrated",
+                  "10",
+                  "138",
+                  "knn",
+                  "pilot",
+                  "Pool_ID",
+                  "technical"
+                ],
+                [
+                  "14",
+                  "1.0",
+                  "f1_macro_calibrated",
+                  "2",
+                  "138",
+                  "knn",
+                  "pilot",
+                  "Institute",
+                  "technical"
+                ],
+                [
+                  "7",
+                  "0.9288461538461539",
+                  "f1_macro_calibrated",
+                  "2",
+                  "138",
+                  "knn",
+                  "composition",
+                  "Institute",
+                  "technical"
+                ],
+                [
+                  "1",
+                  "0.8246554530697405",
+                  "f1_macro_calibrated",
+                  "10",
+                  "138",
+                  "knn",
+                  "pseudobulk",
+                  "Pool_ID",
+                  "technical"
+                ],
+                [
+                  "9",
+                  "0.8034904986198284",
+                  "spearman_r",
+                  "138",
+                  "138",
+                  "knn",
+                  "composition",
+                  "n_cells",
+                  "technical"
+                ],
+                [
+                  "16",
+                  "0.7926135131247589",
+                  "spearman_r",
+                  "138",
+                  "138",
+                  "knn",
+                  "pilot",
+                  "n_cells",
+                  "technical"
+                ],
+                [
+                  "10",
+                  "0.7525161194957081",
+                  "spearman_r",
+                  "119",
+                  "138",
+                  "knn",
+                  "composition",
+                  "median_QC_ngenes",
+                  "technical"
+                ],
+                [
+                  "17",
+                  "0.6564035470749743",
+                  "spearman_r",
+                  "119",
+                  "138",
+                  "knn",
+                  "pilot",
+                  "median_QC_ngenes",
+                  "technical"
+                ],
+                [
+                  "2",
+                  "0.6324953366408745",
+                  "spearman_r",
+                  "138",
+                  "138",
+                  "knn",
+                  "pseudobulk",
+                  "n_cells",
+                  "technical"
+                ],
+                [
+                  "5",
+                  "0.603333791693162",
+                  "spearman_r",
+                  "6",
+                  "113",
+                  "knn",
+                  "pseudobulk",
+                  "Outcome",
+                  "clinical"
+                ],
+                [
+                  "19",
+                  "0.5051198644073508",
+                  "spearman_r",
+                  "6",
+                  "113",
+                  "knn",
+                  "pilot",
+                  "Outcome",
+                  "clinical"
+                ],
+                [
+                  "12",
+                  "0.44627344856333967",
+                  "spearman_r",
+                  "6",
+                  "113",
+                  "knn",
+                  "composition",
+                  "Outcome",
+                  "clinical"
+                ],
+                [
+                  "3",
+                  "0.41413456419294037",
+                  "spearman_r",
+                  "119",
+                  "138",
+                  "knn",
+                  "pseudobulk",
+                  "median_QC_ngenes",
+                  "technical"
+                ],
+                [
+                  "6",
+                  "0.2920728485568985",
+                  "f1_macro_calibrated",
+                  "8",
+                  "138",
+                  "knn",
+                  "pseudobulk",
+                  "Source",
+                  "clinical"
+                ],
+                [
+                  "11",
+                  "0.21999107541276208",
+                  "f1_macro_calibrated",
+                  "2",
+                  "138",
+                  "knn",
+                  "composition",
+                  "Death28",
+                  "clinical"
+                ],
+                [
+                  "20",
+                  "0.1607695792139802",
+                  "f1_macro_calibrated",
+                  "8",
+                  "138",
+                  "knn",
+                  "pilot",
+                  "Source",
+                  "clinical"
+                ],
+                [
+                  "18",
+                  "0.1378848728246318",
+                  "f1_macro_calibrated",
+                  "2",
+                  "138",
+                  "knn",
+                  "pilot",
+                  "Death28",
+                  "clinical"
+                ],
+                [
+                  "13",
+                  "0.12544983620498495",
+                  "f1_macro_calibrated",
+                  "8",
+                  "138",
+                  "knn",
+                  "composition",
+                  "Source",
+                  "clinical"
+                ],
+                [
+                  "4",
+                  "0.04608294930875578",
+                  "f1_macro_calibrated",
+                  "2",
+                  "138",
+                  "knn",
+                  "pseudobulk",
+                  "Death28",
+                  "clinical"
+                ]
+              ],
+              "shape": {
+                "columns": 8,
+                "rows": 21
+              }
+            },
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
scoremetricn_uniquen_observationsmethodrepresentationcovariatecovariate_type
01.000000f1_macro_calibrated2138knnpseudobulkInstitutetechnical
81.000000f1_macro_calibrated10138knncompositionPool_IDtechnical
151.000000f1_macro_calibrated10138knnpilotPool_IDtechnical
141.000000f1_macro_calibrated2138knnpilotInstitutetechnical
70.928846f1_macro_calibrated2138knncompositionInstitutetechnical
10.824655f1_macro_calibrated10138knnpseudobulkPool_IDtechnical
90.803490spearman_r138138knncompositionn_cellstechnical
160.792614spearman_r138138knnpilotn_cellstechnical
100.752516spearman_r119138knncompositionmedian_QC_ngenestechnical
170.656404spearman_r119138knnpilotmedian_QC_ngenestechnical
20.632495spearman_r138138knnpseudobulkn_cellstechnical
50.603334spearman_r6113knnpseudobulkOutcomeclinical
190.505120spearman_r6113knnpilotOutcomeclinical
120.446273spearman_r6113knncompositionOutcomeclinical
30.414135spearman_r119138knnpseudobulkmedian_QC_ngenestechnical
60.292073f1_macro_calibrated8138knnpseudobulkSourceclinical
110.219991f1_macro_calibrated2138knncompositionDeath28clinical
200.160770f1_macro_calibrated8138knnpilotSourceclinical
180.137885f1_macro_calibrated2138knnpilotDeath28clinical
130.125450f1_macro_calibrated8138knncompositionSourceclinical
40.046083f1_macro_calibrated2138knnpseudobulkDeath28clinical
\n",
+              "
"
+            ],
+            "text/plain": [
+              "       score               metric  n_unique  n_observations method  \\\n",
+              "0   1.000000  f1_macro_calibrated         2             138    knn   \n",
+              "8   1.000000  f1_macro_calibrated        10             138    knn   \n",
+              "15  1.000000  f1_macro_calibrated        10             138    knn   \n",
+              "14  1.000000  f1_macro_calibrated         2             138    knn   \n",
+              "7   0.928846  f1_macro_calibrated         2             138    knn   \n",
+              "1   0.824655  f1_macro_calibrated        10             138    knn   \n",
+              "9   0.803490           spearman_r       138             138    knn   \n",
+              "16  0.792614           spearman_r       138             138    knn   \n",
+              "10  0.752516           spearman_r       119             138    knn   \n",
+              "17  0.656404           spearman_r       119             138    knn   \n",
+              "2   0.632495           spearman_r       138             138    knn   \n",
+              "5   0.603334           spearman_r         6             113    knn   \n",
+              "19  0.505120           spearman_r         6             113    knn   \n",
+              "12  0.446273           spearman_r         6             113    knn   \n",
+              "3   0.414135           spearman_r       119             138    knn   \n",
+              "6   0.292073  f1_macro_calibrated         8             138    knn   \n",
+              "11  0.219991  f1_macro_calibrated         2             138    knn   \n",
+              "20  0.160770  f1_macro_calibrated         8             138    knn   \n",
+              "18  0.137885  f1_macro_calibrated         2             138    knn   \n",
+              "13  0.125450  f1_macro_calibrated         8             138    knn   \n",
+              "4   0.046083  f1_macro_calibrated         2             138    knn   \n",
+              "\n",
+              "   representation         covariate covariate_type  \n",
+              "0      pseudobulk         Institute      technical  \n",
+              "8     composition           Pool_ID      technical  \n",
+              "15          pilot           Pool_ID      technical  \n",
+              "14          pilot         Institute      technical  \n",
+              "7     composition         Institute      technical  \n",
+              "1      pseudobulk           Pool_ID      technical  \n",
+              "9     composition           n_cells      technical  \n",
+              "16          pilot           n_cells      technical  \n",
+              "10    composition  median_QC_ngenes      technical  \n",
+              "17          pilot  median_QC_ngenes      technical  \n",
+              "2      pseudobulk           n_cells      technical  \n",
+              "5      pseudobulk           Outcome       clinical  \n",
+              "19          pilot           Outcome       clinical  \n",
+              "12    composition           Outcome       clinical  \n",
+              "3      pseudobulk  median_QC_ngenes      technical  \n",
+              "6      pseudobulk            Source       clinical  \n",
+              "11    composition           Death28       clinical  \n",
+              "20          pilot            Source       clinical  \n",
+              "18          pilot           Death28       clinical  \n",
+              "13    composition            Source       clinical  \n",
+              "4      pseudobulk           Death28       clinical  "
+            ]
+          },
+          "execution_count": null,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "knn_results = pd.DataFrame(results)\n",
+        "knn_results.sort_values(\"score\", ascending=False)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 50,
+      "id": "a4969efa",
+      "metadata": {},
+      "outputs": [
         {
-         "name": "covariate",
-         "rawType": "object",
-         "type": "string"
+          "data": {
+            "text/plain": [
+              "Text(0.5, 1.0, 'KNN-score')"
+            ]
+          },
+          "execution_count": null,
+          "metadata": {},
+          "output_type": "execute_result"
         },
         {
-         "name": "covariate_type",
-         "rawType": "object",
-         "type": "string"
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
         }
-       ],
-       "ref": "42899ae8-35a4-47b7-b380-c2d17e136f62",
-       "rows": [
-        [
-         "0",
-         "1.0",
-         "f1_macro_calibrated",
-         "2",
-         "138",
-         "knn",
-         "pseudobulk",
-         "Institute",
-         "technical"
-        ],
-        [
-         "8",
-         "1.0",
-         "f1_macro_calibrated",
-         "10",
-         "138",
-         "knn",
-         "composition",
-         "Pool_ID",
-         "technical"
-        ],
-        [
-         "15",
-         "1.0",
-         "f1_macro_calibrated",
-         "10",
-         "138",
-         "knn",
-         "pilot",
-         "Pool_ID",
-         "technical"
-        ],
-        [
-         "14",
-         "1.0",
-         "f1_macro_calibrated",
-         "2",
-         "138",
-         "knn",
-         "pilot",
-         "Institute",
-         "technical"
-        ],
-        [
-         "7",
-         "0.9288461538461539",
-         "f1_macro_calibrated",
-         "2",
-         "138",
-         "knn",
-         "composition",
-         "Institute",
-         "technical"
-        ],
-        [
-         "1",
-         "0.8246554530697405",
-         "f1_macro_calibrated",
-         "10",
-         "138",
-         "knn",
-         "pseudobulk",
-         "Pool_ID",
-         "technical"
-        ],
-        [
-         "9",
-         "0.8034904986198284",
-         "spearman_r",
-         "138",
-         "138",
-         "knn",
-         "composition",
-         "n_cells",
-         "technical"
-        ],
-        [
-         "16",
-         "0.7926135131247589",
-         "spearman_r",
-         "138",
-         "138",
-         "knn",
-         "pilot",
-         "n_cells",
-         "technical"
-        ],
-        [
-         "10",
-         "0.7525161194957081",
-         "spearman_r",
-         "119",
-         "138",
-         "knn",
-         "composition",
-         "median_QC_ngenes",
-         "technical"
-        ],
-        [
-         "17",
-         "0.6564035470749743",
-         "spearman_r",
-         "119",
-         "138",
-         "knn",
-         "pilot",
-         "median_QC_ngenes",
-         "technical"
-        ],
-        [
-         "2",
-         "0.6324953366408745",
-         "spearman_r",
-         "138",
-         "138",
-         "knn",
-         "pseudobulk",
-         "n_cells",
-         "technical"
-        ],
-        [
-         "5",
-         "0.603333791693162",
-         "spearman_r",
-         "6",
-         "113",
-         "knn",
-         "pseudobulk",
-         "Outcome",
-         "clinical"
-        ],
-        [
-         "19",
-         "0.5051198644073508",
-         "spearman_r",
-         "6",
-         "113",
-         "knn",
-         "pilot",
-         "Outcome",
-         "clinical"
-        ],
-        [
-         "12",
-         "0.44627344856333967",
-         "spearman_r",
-         "6",
-         "113",
-         "knn",
-         "composition",
-         "Outcome",
-         "clinical"
-        ],
-        [
-         "3",
-         "0.41413456419294037",
-         "spearman_r",
-         "119",
-         "138",
-         "knn",
-         "pseudobulk",
-         "median_QC_ngenes",
-         "technical"
-        ],
-        [
-         "6",
-         "0.2920728485568985",
-         "f1_macro_calibrated",
-         "8",
-         "138",
-         "knn",
-         "pseudobulk",
-         "Source",
-         "clinical"
-        ],
-        [
-         "11",
-         "0.21999107541276208",
-         "f1_macro_calibrated",
-         "2",
-         "138",
-         "knn",
-         "composition",
-         "Death28",
-         "clinical"
-        ],
-        [
-         "20",
-         "0.1607695792139802",
-         "f1_macro_calibrated",
-         "8",
-         "138",
-         "knn",
-         "pilot",
-         "Source",
-         "clinical"
-        ],
-        [
-         "18",
-         "0.1378848728246318",
-         "f1_macro_calibrated",
-         "2",
-         "138",
-         "knn",
-         "pilot",
-         "Death28",
-         "clinical"
-        ],
-        [
-         "13",
-         "0.12544983620498495",
-         "f1_macro_calibrated",
-         "8",
-         "138",
-         "knn",
-         "composition",
-         "Source",
-         "clinical"
-        ],
-        [
-         "4",
-         "0.04608294930875578",
-         "f1_macro_calibrated",
-         "2",
-         "138",
-         "knn",
-         "pseudobulk",
-         "Death28",
-         "clinical"
-        ]
-       ],
-       "shape": {
-        "columns": 8,
-        "rows": 21
-       }
-      },
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
scoremetricn_uniquen_observationsmethodrepresentationcovariatecovariate_type
01.000000f1_macro_calibrated2138knnpseudobulkInstitutetechnical
81.000000f1_macro_calibrated10138knncompositionPool_IDtechnical
151.000000f1_macro_calibrated10138knnpilotPool_IDtechnical
141.000000f1_macro_calibrated2138knnpilotInstitutetechnical
70.928846f1_macro_calibrated2138knncompositionInstitutetechnical
10.824655f1_macro_calibrated10138knnpseudobulkPool_IDtechnical
90.803490spearman_r138138knncompositionn_cellstechnical
160.792614spearman_r138138knnpilotn_cellstechnical
100.752516spearman_r119138knncompositionmedian_QC_ngenestechnical
170.656404spearman_r119138knnpilotmedian_QC_ngenestechnical
20.632495spearman_r138138knnpseudobulkn_cellstechnical
50.603334spearman_r6113knnpseudobulkOutcomeclinical
190.505120spearman_r6113knnpilotOutcomeclinical
120.446273spearman_r6113knncompositionOutcomeclinical
30.414135spearman_r119138knnpseudobulkmedian_QC_ngenestechnical
60.292073f1_macro_calibrated8138knnpseudobulkSourceclinical
110.219991f1_macro_calibrated2138knncompositionDeath28clinical
200.160770f1_macro_calibrated8138knnpilotSourceclinical
180.137885f1_macro_calibrated2138knnpilotDeath28clinical
130.125450f1_macro_calibrated8138knncompositionSourceclinical
40.046083f1_macro_calibrated2138knnpseudobulkDeath28clinical
\n",
-       "
"
       ],
-      "text/plain": [
-       "       score               metric  n_unique  n_observations method  \\\n",
-       "0   1.000000  f1_macro_calibrated         2             138    knn   \n",
-       "8   1.000000  f1_macro_calibrated        10             138    knn   \n",
-       "15  1.000000  f1_macro_calibrated        10             138    knn   \n",
-       "14  1.000000  f1_macro_calibrated         2             138    knn   \n",
-       "7   0.928846  f1_macro_calibrated         2             138    knn   \n",
-       "1   0.824655  f1_macro_calibrated        10             138    knn   \n",
-       "9   0.803490           spearman_r       138             138    knn   \n",
-       "16  0.792614           spearman_r       138             138    knn   \n",
-       "10  0.752516           spearman_r       119             138    knn   \n",
-       "17  0.656404           spearman_r       119             138    knn   \n",
-       "2   0.632495           spearman_r       138             138    knn   \n",
-       "5   0.603334           spearman_r         6             113    knn   \n",
-       "19  0.505120           spearman_r         6             113    knn   \n",
-       "12  0.446273           spearman_r         6             113    knn   \n",
-       "3   0.414135           spearman_r       119             138    knn   \n",
-       "6   0.292073  f1_macro_calibrated         8             138    knn   \n",
-       "11  0.219991  f1_macro_calibrated         2             138    knn   \n",
-       "20  0.160770  f1_macro_calibrated         8             138    knn   \n",
-       "18  0.137885  f1_macro_calibrated         2             138    knn   \n",
-       "13  0.125450  f1_macro_calibrated         8             138    knn   \n",
-       "4   0.046083  f1_macro_calibrated         2             138    knn   \n",
-       "\n",
-       "   representation         covariate covariate_type  \n",
-       "0      pseudobulk         Institute      technical  \n",
-       "8     composition           Pool_ID      technical  \n",
-       "15          pilot           Pool_ID      technical  \n",
-       "14          pilot         Institute      technical  \n",
-       "7     composition         Institute      technical  \n",
-       "1      pseudobulk           Pool_ID      technical  \n",
-       "9     composition           n_cells      technical  \n",
-       "16          pilot           n_cells      technical  \n",
-       "10    composition  median_QC_ngenes      technical  \n",
-       "17          pilot  median_QC_ngenes      technical  \n",
-       "2      pseudobulk           n_cells      technical  \n",
-       "5      pseudobulk           Outcome       clinical  \n",
-       "19          pilot           Outcome       clinical  \n",
-       "12    composition           Outcome       clinical  \n",
-       "3      pseudobulk  median_QC_ngenes      technical  \n",
-       "6      pseudobulk            Source       clinical  \n",
-       "11    composition           Death28       clinical  \n",
-       "20          pilot            Source       clinical  \n",
-       "18          pilot           Death28       clinical  \n",
-       "13    composition            Source       clinical  \n",
-       "4      pseudobulk           Death28       clinical  "
-      ]
-     },
-     "execution_count": null,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "knn_results = pd.DataFrame(results)\n",
-    "knn_results.sort_values(\"score\", ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "a4969efa",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 1.0, 'KNN-score')"
+      "source": [
+        "# plt.figure(figsize=(10, 20))\n",
+        "sns.barplot(data=knn_results, y=\"covariate\", x=\"score\", orient=\"h\", hue=\"representation\", palette=\"tab20\")\n",
+        "plt.xlim(0, 1.05)\n",
+        "plt.title(\"KNN-score\", fontsize=24)"
       ]
-     },
-     "execution_count": null,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
+      "cell_type": "code",
+      "execution_count": 51,
+      "id": "2f9a97d5",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "knn_results_wide = knn_results.pivot(index=\"representation\", columns=\"covariate\", values=\"score\")\n",
+        "# knn_results_wide.reset_index(inplace=True)\n",
+        "\n",
+        "# Order the columns as in benchmark schema\n",
+        "cols_order = [\"total\"]\n",
+        "\n",
+        "for covariate_type in benchmark_schema:\n",
+        "    cols_order.extend(benchmark_schema[covariate_type])\n",
+        "    cols_order.append(covariate_type)\n",
+        "\n",
+        "cmap = LinearSegmentedColormap.from_list(\n",
+        "    name=\"bugw\", colors=[\"#FF9693\", \"#f2fbd2\", \"#c9ecb4\", \"#93d3ab\", \"#35b0ab\"], N=256\n",
+        ")\n",
+        "\n",
+        "col_defs = []\n",
+        "\n",
+        "col_defs.append(\n",
+        "    ColumnDefinition(\n",
+        "        \"total\",\n",
+        "        width=0.7,\n",
+        "        plot_fn=bar,\n",
+        "        plot_kw={\n",
+        "            \"cmap\": cmap,\n",
+        "            \"plot_bg_bar\": True,\n",
+        "            \"annotate\": True,\n",
+        "            \"height\": 0.5,\n",
+        "            \"lw\": 0.5,\n",
+        "            \"formatter\": lambda x: round(x, 2),\n",
+        "        },\n",
+        "    )\n",
+        ")\n",
+        "\n",
+        "for covariate_type in benchmark_schema:\n",
+        "    type_cols = benchmark_schema[covariate_type]\n",
+        "\n",
+        "    for col in type_cols:\n",
+        "        col_def = ColumnDefinition(\n",
+        "            name=col,\n",
+        "            width=0.75,\n",
+        "            formatter=lambda x: round(x, 2),\n",
+        "            textprops={\n",
+        "                \"ha\": \"center\",\n",
+        "                \"bbox\": {\"boxstyle\": \"circle\", \"pad\": 0.35},\n",
+        "            },\n",
+        "            cmap=normed_cmap(knn_results[\"score\"], cmap=matplotlib.cm.PiYG, num_stds=2.5),\n",
+        "            group=covariate_type,\n",
+        "        )\n",
+        "\n",
+        "        col_defs.append(col_def)\n",
+        "\n",
+        "    knn_results_wide[covariate_type] = knn_results_wide[type_cols].mean(axis=1)\n",
+        "    col_defs.append(\n",
+        "        ColumnDefinition(\n",
+        "            covariate_type,\n",
+        "            width=0.7,\n",
+        "            plot_fn=bar,\n",
+        "            plot_kw={\n",
+        "                \"cmap\": cmap,\n",
+        "                \"plot_bg_bar\": True,\n",
+        "                \"annotate\": True,\n",
+        "                \"height\": 0.5,\n",
+        "                \"lw\": 0.5,\n",
+        "                \"formatter\": lambda x: round(x, 2),\n",
+        "            },\n",
+        "        )\n",
+        "    )\n",
+        "\n",
+        "\n",
+        "#     col_defs.append(type_cols)\n",
+        "clin_weight = 2 / 3\n",
+        "\n",
+        "knn_results_wide[\"total\"] = (\n",
+        "    clin_weight * knn_results_wide[\"clinical\"] + (1 - clin_weight) * knn_results_wide[\"technical\"]\n",
+        ")"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# plt.figure(figsize=(10, 20))\n",
-    "sns.barplot(data=knn_results, y=\"covariate\", x=\"score\", orient=\"h\", hue=\"representation\", palette=\"tab20\")\n",
-    "plt.xlim(0, 1.05)\n",
-    "plt.title(\"KNN-score\", fontsize=24)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "2f9a97d5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "knn_results_wide = knn_results.pivot(index=\"representation\", columns=\"covariate\", values=\"score\")\n",
-    "# knn_results_wide.reset_index(inplace=True)\n",
-    "\n",
-    "# Order the columns as in benchmark schema\n",
-    "cols_order = [\"total\"]\n",
-    "\n",
-    "for covariate_type in benchmark_schema:\n",
-    "    cols_order.extend(benchmark_schema[covariate_type])\n",
-    "    cols_order.append(covariate_type)\n",
-    "\n",
-    "cmap = LinearSegmentedColormap.from_list(\n",
-    "    name=\"bugw\", colors=[\"#FF9693\", \"#f2fbd2\", \"#c9ecb4\", \"#93d3ab\", \"#35b0ab\"], N=256\n",
-    ")\n",
-    "\n",
-    "col_defs = []\n",
-    "\n",
-    "col_defs.append(\n",
-    "    ColumnDefinition(\n",
-    "        \"total\",\n",
-    "        width=0.7,\n",
-    "        plot_fn=bar,\n",
-    "        plot_kw={\n",
-    "            \"cmap\": cmap,\n",
-    "            \"plot_bg_bar\": True,\n",
-    "            \"annotate\": True,\n",
-    "            \"height\": 0.5,\n",
-    "            \"lw\": 0.5,\n",
-    "            \"formatter\": lambda x: round(x, 2),\n",
-    "        },\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "for covariate_type in benchmark_schema:\n",
-    "    type_cols = benchmark_schema[covariate_type]\n",
-    "\n",
-    "    for col in type_cols:\n",
-    "        col_def = ColumnDefinition(\n",
-    "            name=col,\n",
-    "            width=0.75,\n",
-    "            formatter=lambda x: round(x, 2),\n",
-    "            textprops={\n",
-    "                \"ha\": \"center\",\n",
-    "                \"bbox\": {\"boxstyle\": \"circle\", \"pad\": 0.35},\n",
-    "            },\n",
-    "            cmap=normed_cmap(knn_results[\"score\"], cmap=matplotlib.cm.PiYG, num_stds=2.5),\n",
-    "            group=covariate_type,\n",
-    "        )\n",
-    "\n",
-    "        col_defs.append(col_def)\n",
-    "\n",
-    "    knn_results_wide[covariate_type] = knn_results_wide[type_cols].mean(axis=1)\n",
-    "    col_defs.append(\n",
-    "        ColumnDefinition(\n",
-    "            covariate_type,\n",
-    "            width=0.7,\n",
-    "            plot_fn=bar,\n",
-    "            plot_kw={\n",
-    "                \"cmap\": cmap,\n",
-    "                \"plot_bg_bar\": True,\n",
-    "                \"annotate\": True,\n",
-    "                \"height\": 0.5,\n",
-    "                \"lw\": 0.5,\n",
-    "                \"formatter\": lambda x: round(x, 2),\n",
-    "            },\n",
-    "        )\n",
-    "    )\n",
-    "\n",
-    "\n",
-    "#     col_defs.append(type_cols)\n",
-    "clin_weight = 2 / 3\n",
-    "\n",
-    "knn_results_wide[\"total\"] = (\n",
-    "    clin_weight * knn_results_wide[\"clinical\"] + (1 - clin_weight) * knn_results_wide[\"technical\"]\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "id": "68d23261",
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "text/plain": [
-       ""
+      "cell_type": "code",
+      "execution_count": 52,
+      "id": "68d23261",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              ""
+            ]
+          },
+          "execution_count": null,
+          "metadata": {},
+          "output_type": "execute_result"
+        },
+        {
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "fig, ax = plt.subplots(figsize=(18, 6))\n",
+        "\n",
+        "Table(knn_results_wide[cols_order].sort_values(\"total\", ascending=False), column_definitions=tuple(col_defs), ax=ax)"
       ]
-     },
-     "execution_count": null,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
+      "cell_type": "markdown",
+      "id": "9b40741d",
+      "metadata": {},
+      "source": [
+        "# Other methods\n",
+        "\n",
+        "There are other methods implemented that you might want to try:\n",
+        "- Aggregated per cell type (or some other group) pseudobulk: `patpy.tl.GroupedPseudobulk`\n",
+        "- Composition differences: `patpy.tl.CellGroupComposition`\n",
+        "- scPoli: `patpy.tl.SCPoli`\n",
+        "- MrVI: `patpy.tl.MrVI`\n",
+        "- PhEMD: `patpy.tl.PhEMD`\n",
+        "- MOFA: `patpy.tl.MOFA`\n",
+        "- GloScope: `patpy.tl.GloScope`\n",
+        "\n",
+        "In the [sample representation benchmark](https://github.com/lueckenlab/SPARE/tree/feature/viash_nextflow_pipeline), we found GloScope to be the best representation method. For running it, R installation is required. You can use [environment](https://github.com/lueckenlab/patpy/blob/main/envs/gloscope.yaml) from this repository or manually install required dependencies."
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(figsize=(18, 6))\n",
-    "\n",
-    "Table(knn_results_wide[cols_order].sort_values(\"total\", ascending=False), column_definitions=tuple(col_defs), ax=ax)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9b40741d",
-   "metadata": {},
-   "source": [
-    "# Other methods\n",
-    "\n",
-    "There are other methods implemented that you might want to try:\n",
-    "- Aggregated per cell type (or some other group) pseudobulk: `patpy.tl.GroupedPseudobulk`\n",
-    "- Composition differences: `patpy.tl.CellGroupComposition`\n",
-    "- scPoli: `patpy.tl.SCPoli`\n",
-    "- MrVI: `patpy.tl.MrVI`\n",
-    "- PhEMD: `patpy.tl.PhEMD`\n",
-    "- MOFA: `patpy.tl.MOFA`\n",
-    "- GloScope: `patpy.tl.GloScope`\n",
-    "\n",
-    "In the [sample representation benchmark](https://github.com/lueckenlab/SPARE/tree/feature/viash_nextflow_pipeline), we found GloScope to be the best representation method. For running it, R installation is required. You can use [environment](https://github.com/lueckenlab/patpy/blob/main/envs/gloscope.yaml) from this repository or manually install required dependencies."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "patpy3.12",
-   "language": "python",
-   "name": "python3"
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "patpy3.12",
+      "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"
+    }
   },
-  "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
+  "nbformat": 4,
+  "nbformat_minor": 5
 }
diff --git a/sources_of_variation_with_gloscope.ipynb b/sources_of_variation_with_gloscope.ipynb
index 78ceb9a..4fcd40a 100644
--- a/sources_of_variation_with_gloscope.ipynb
+++ b/sources_of_variation_with_gloscope.ipynb
@@ -1,2414 +1,2354 @@
 {
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "0576edce",
-   "metadata": {
-    "id": "0576edce"
-   },
-   "source": [
-    "# Understanding sources of variation in single-cell data with GloScope\n",
-    "\n",
-    "What explains differences between samples in your data? A disease condition of patients or maybe batch effects? In this tutorial, we will use `patpy` to build a sample representation from single-cell transcriptomics data and evaluate the sources of variation in it."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "cac1e757",
-   "metadata": {},
-   "source": [
-    "We will use GloScope, a density-based sample representation method. It treats samples as point clouds, where each point is a cell. To understand how dissimilar samples are, GloScope computes divergence between these point clouds. Intuitively, if some cells states are present in every sample, they will have a little contribution to differences between samples. On the other hand, **sample-specific cell states will have a high contribution**. You can find more details about GloScope in the [original publication](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-024-03398-1).\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8d6a2591",
-   "metadata": {},
-   "source": [
-    "Gloscope has shown the best performance among methods in the [SPARE sample representation benchmark](https://openreview.net/forum?id=IoRv5afWtb). It captures clinical information well and uncovers disease trajectories as demonstrated in our [patient trajectory analysis tutorial](https://patpy.readthedocs.io/en/latest/notebooks/Patient_trajectories_example.html). In this notebook, we'll run our Python reimplementation of GloScope. We'll see that it gives identical results to the [original R implemetation](https://www.bioconductor.org/packages/release/bioc/html/GloScope.html), but is orders of magnitude faster."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "89139dfa",
-   "metadata": {
-    "id": "89139dfa"
-   },
-   "source": [
-    "## 1. Setup"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "37d017a0",
-   "metadata": {},
-   "source": [
-    "There are 2 possible ways to run GloScope in python: with GPU and without. While both are more efficient than R version, GPU uses accelerated engine for mathematical operations and performs particularly rapidly. But all good things come at a cost: to use GPU you must have it in your computer and install additional packages. If this works for you, follow the installation steps below. **For running CPU version, jump to step 1.3**, all the required dependencies already come with `patpy`."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "777a8cc8",
-   "metadata": {
-    "id": "777a8cc8"
-   },
-   "source": [
-    "### 1.1 Option 1 (with conda)\n",
-    "\n",
-    "1. Download the environment file from [here](https://github.com/HCA-integration/scAtlasTb/blob/main/envs/rapids_singlecell.yaml) or manually create a file `rapids_singlecell.yaml` with the following content:\n",
-    "\n",
-    "```yaml\n",
-    "name: rapids_singlecell\n",
-    "channels:\n",
-    "  - rapidsai\n",
-    "  - nvidia\n",
-    "  - conda-forge\n",
-    "  - bioconda\n",
-    "dependencies:\n",
-    "  - python=3.11\n",
-    "  - anndata=0.11\n",
-    "  - scanpy=1.11\n",
-    "  - leidenalg\n",
-    "  - louvain\n",
-    "  - zarr\n",
-    "  - cuda-version=12\n",
-    "  - rapids=24.06\n",
-    "  - scikit-learn<1.6 # required by dask-ml\n",
-    "  - scipy<1.15\n",
-    "  - dask\n",
-    "  - dask-ml\n",
-    "  - sparse\n",
-    "  - harmonypy\n",
-    "  - pytorch\n",
-    "  - pip\n",
-    "  - pip:\n",
-    "    - rapids-singlecell\n",
-    "    - scikit-learn<1.6\n",
-    "```\n",
-    "\n",
-    "2. Create a new conda environment based on this file:\n",
-    "\n",
-    "```bash\n",
-    "conda env create -f rapids_singlecell.yaml\n",
-    "```\n",
-    "\n",
-    "3. Activate the environment:\n",
-    "\n",
-    "```bash\n",
-    "conda activate rapids_singlecell\n",
-    "```\n",
-    "\n",
-    "4. Install ipykernel to be able to use this environment in a jupyter notebook:\n",
-    "\n",
-    "```bash\n",
-    "conda install ipykernel\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c647f71c",
-   "metadata": {},
-   "source": [
-    "### 1.2 Option 2 (conda-free). Install the RAPIDS package"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "63acd0bb",
-   "metadata": {},
-   "source": [
-    "You can use the script provided by rapidsai developers. Activate a desired environment, and run the following:\n",
-    "\n",
-    "```bash\n",
-    "git clone https://github.com/rapidsai/rapidsai-csp-utils.git\n",
-    "python rapidsai-csp-utils/colab/pip-install.py\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ded10b06",
-   "metadata": {},
-   "source": [
-    "Run this cell to enable consistent usage of array API:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "4e4d391e",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:34:26.042625Z",
-     "iopub.status.busy": "2025-10-23T09:34:26.042318Z",
-     "iopub.status.idle": "2025-10-23T09:34:26.047199Z",
-     "shell.execute_reply": "2025-10-23T09:34:26.046901Z"
-    },
-    "id": "4e4d391e"
-   },
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.environ[\"SCIPY_ARRAY_API\"] = \"1\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "982b5ff0",
-   "metadata": {
-    "id": "982b5ff0"
-   },
-   "source": [
-    "### 1.3 Install the patpy package\n",
-    "\n",
-    "For latest released version, simply run:\n",
-    "\n",
-    "```bash\n",
-    "pip install patpy\n",
-    "```\n",
-    "\n",
-    "To get a newer development version (might be unstable), install from github:\n",
-    "\n",
-    "```bash\n",
-    "pip install git+https://github.com/lueckenlab/patpy.git@main\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d663964e",
-   "metadata": {
-    "id": "d663964e"
-   },
-   "source": [
-    "### 1.4 Import packages"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "983ba9ef",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:34:26.048539Z",
-     "iopub.status.busy": "2025-10-23T09:34:26.048409Z",
-     "iopub.status.idle": "2025-10-23T09:39:12.704693Z",
-     "shell.execute_reply": "2025-10-23T09:39:12.568156Z"
-    },
-    "id": "983ba9ef"
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/louvain/__init__.py:54: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n",
-      "  from pkg_resources import get_distribution, DistributionNotFound\n"
-     ]
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "import scanpy as sc\n",
-    "import patpy\n",
-    "import seaborn as sns\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "import random\n",
-    "\n",
-    "random.seed(42)\n",
-    "np.random.seed(42)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "d99d93b4",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 35
-    },
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:12.714139Z",
-     "iopub.status.busy": "2025-10-23T09:39:12.713586Z",
-     "iopub.status.idle": "2025-10-23T09:39:12.718034Z",
-     "shell.execute_reply": "2025-10-23T09:39:12.717630Z"
-    },
-    "id": "d99d93b4",
-    "outputId": "ec9617fe-bf64-4e9c-d863-9735c7446ac9"
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'0.11.2'"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "patpy.__version__"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1f14b221",
-   "metadata": {
-    "id": "1f14b221"
-   },
-   "source": [
-    "## 2. Data Preparation"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "36a105cc",
-   "metadata": {
-    "id": "36a105cc"
-   },
-   "source": [
-    "### 2.1 Read the data\n",
-    "\n",
-    "Here, we use [COMBAT dataset](https://cellxgene.cziscience.com/collections/8f126edf-5405-4731-8374-b5ce11f53e82). This dataset contains 783k cells (after some additional preprocessing) from 138 COVID-19 patients and healthy donors."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "c15dfec8",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:12.719346Z",
-     "iopub.status.busy": "2025-10-23T09:39:12.719205Z",
-     "iopub.status.idle": "2025-10-23T09:39:12.721200Z",
-     "shell.execute_reply": "2025-10-23T09:39:12.720824Z"
-    },
-    "id": "c15dfec8"
-   },
-   "outputs": [],
-   "source": [
-    "ADATA_PATH = \"/home/icb/vladimir.shitov/projects/vladimir.shitov/2023_05_patient_representation_benchmark/reproducibility/pat_rep_benchmark/data/combat/combat_processed.h5ad\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "cd2efb7a",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:12.722374Z",
-     "iopub.status.busy": "2025-10-23T09:39:12.722246Z",
-     "iopub.status.idle": "2025-10-23T09:39:23.187713Z",
-     "shell.execute_reply": "2025-10-23T09:39:23.187326Z"
-    },
-    "id": "cd2efb7a",
-    "outputId": "d217d11e-7edf-4b2b-91c2-cd9ab957dfd7"
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AnnData object with n_obs × n_vars = 783677 × 3000\n",
-       "    obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID', 'ifn_1_score', '_scvi_batch', '_scvi_labels', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'pct_counts_in_top_50_genes', 'pct_counts_in_top_100_genes', 'pct_counts_in_top_200_genes', 'pct_counts_in_top_500_genes', 'total_counts_mt', 'log1p_total_counts_mt', 'pct_counts_mt', 'total_counts_ribo', 'log1p_total_counts_ribo', 'pct_counts_ribo', 'vertex', 'eigenvector_centrality'\n",
-       "    var: 'gene_ids', 'feature_types', 'highly_variable', 'highly_variable_rank', 'means', 'variances', 'variances_norm', 'highly_variable_nbatches', 'mt', 'ribo', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts', 'log1p_total_counts'\n",
-       "    uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'X_gloscope_cuml_distances', 'X_gloscope_pynndescent_distances', 'X_scpoli', '_scvi_manager_uuid', '_scvi_uuid', 'genome_annotation_version', 'gloscope_representation', 'gloscope_scpoli_distances', 'hvg', 'log1p', 'neighbors', 'pca', 'scpoli_distances', 'scpoli_parameters', 'scpoli_samples'\n",
-       "    obsm: 'X_pca', 'X_scANVI_batch', 'X_scANVI_sample', 'X_scVI_batch', 'X_scVI_sample', 'X_scpoli', 'X_umap', 'X_umap_source'\n",
-       "    varm: 'PCs'\n",
-       "    layers: 'X_raw_counts'\n",
-       "    obsp: 'connectivities', 'distances'"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "adata = sc.read_h5ad(ADATA_PATH)\n",
-    "adata"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "892bab5c",
-   "metadata": {
-    "id": "892bab5c"
-   },
-   "source": [
-    "### 2.2 Set columns containing sample IDs, cell types and metadata\n",
-    "\n",
-    "For convenience, let's store columns contatining patient-level information to python variables:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "dd6105aa",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:23.195900Z",
-     "iopub.status.busy": "2025-10-23T09:39:23.195720Z",
-     "iopub.status.idle": "2025-10-23T09:39:23.214794Z",
-     "shell.execute_reply": "2025-10-23T09:39:23.214445Z"
-    },
-    "id": "dd6105aa"
-   },
-   "outputs": [],
-   "source": [
-    "sample_id_col = \"scRNASeq_sample_ID\"\n",
-    "\n",
-    "# Columns from adata.obs containing metadata about samples\n",
-    "samples_metadata_cols = [\"Source\", \"Outcome\", \"Death28\", \"Hospitalstay\", \"TimeSinceOnset\", \"Institute\", \"Pool_ID\",\n",
-    "                         \"Age\", \"Sex\", \"BMI\", \"PreExistingHeartDisease\", \"PreExistingLungDisease\", \"PreExistingDiabetes\",\n",
-    "                         \"PreExistingHypertension\", \"Smoking\", \"Requiredvasoactive\", \"SARSCoV2PCR\"]\n",
-    "\n",
-    "# Columns we will use for plotting\n",
-    "cols_to_plot = [\"Source\", \"Outcome\", \"Death28\", \"Institute\", \"Pool_ID\"]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6e71f9c7",
-   "metadata": {},
-   "source": [
-    "Additionally, let's set a layer that we will use as cell representations. It must be `\"X\"` or one of the keys in either `.layers` or `.obsm`. Here, we will use scVI embedding:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "08157ba7",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:23.216088Z",
-     "iopub.status.busy": "2025-10-23T09:39:23.215944Z",
-     "iopub.status.idle": "2025-10-23T09:39:23.217878Z",
-     "shell.execute_reply": "2025-10-23T09:39:23.217538Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "layer = \"X_scVI_batch\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "171cc650",
-   "metadata": {
-    "id": "171cc650"
-   },
-   "source": [
-    "### 2.3 Store metadata and calculate QC metrics"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9fb37423",
-   "metadata": {},
-   "source": [
-    "To evaluate sample representation, let's extract a sample metadata table from `.obs` data frame in annotated data object:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "5c03fcac",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 470
-    },
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:23.219105Z",
-     "iopub.status.busy": "2025-10-23T09:39:23.218970Z",
-     "iopub.status.idle": "2025-10-23T09:39:23.719536Z",
-     "shell.execute_reply": "2025-10-23T09:39:23.719134Z"
-    },
-    "id": "5c03fcac",
-    "outputId": "3308a6b4-82b6-40b0-ae01-74a8316831f4"
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
SourceOutcomeDeath28HospitalstayTimeSinceOnsetInstitutePool_IDAgeSexBMIPreExistingHeartDiseasePreExistingLungDiseasePreExistingDiabetesPreExistingHypertensionSmokingRequiredvasoactiveSARSCoV2PCR
scRNASeq_sample_ID
S00109-Ja001E-PBCaCOVID_SEV2.001.012.0OxfordgPlexA5.0150.00.00.01.001.01
S00112-Ja003E-PBCaCOVID_MILD5.002.012.0OxfordgPlexA5.0150.00.00.00.000.01
S00005-Ja005E-PBCaCOVID_CRIT2.004.014.0OxfordgPlexA7.0011.00.00.01.001.01
S00061-Ja003E-PBCaCOVID_SEV4.002.06.0OxfordgPlexA5.0150.00.00.00.000.01
S00056-Ja003E-PBCaCOVID_SEV3.003.023.0OxfordgPlexA7.0050.00.00.00.000.01
......................................................
S00065-Ja003E-PBCaCOVID_CRIT2.003.016.0OxfordgPlexK5.0050.00.01.00.001.01
S00048-Ja003E-PBCaCOVID_SEV4.002.012.0OxfordgPlexK7.0130.00.00.01.000.01
G05112-Ja005E-PBCaCOVID_HCW_MILD6.00NaN7.0OxfordgPlexK4.005NaNNaNNaNNaN0NaN1
N00038-Ja001E-PBGaSepsisNaN00.07.0OxfordgPlexK4.0150.00.00.00.000.00
U00501-Ua005E-PBUaFlu2.00NaN11.0St_GeorgesgPlexK6.011NaNNaN0.00.001.00
\n",
-       "
138 rows × 17 columns
\n",
-       "
"
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "id": "0576edce",
+      "metadata": {
+        "id": "0576edce"
+      },
+      "source": [
+        "# Understanding sources of variation in single-cell data with GloScope\n",
+        "\n",
+        "What explains differences between samples in your data? A disease condition of patients or maybe batch effects? In this tutorial, we will use `patpy` to build a sample representation from single-cell transcriptomics data and evaluate the sources of variation in it."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "cac1e757",
+      "metadata": {},
+      "source": [
+        "We will use GloScope, a density-based sample representation method {cite}`wang2024visualizing`. It treats samples as point clouds, where each point is a cell. To understand how dissimilar samples are, GloScope computes divergence between these point clouds. Intuitively, if some cells states are present in every sample, they will have a little contribution to differences between samples. On the other hand, **sample-specific cell states will have a high contribution**. You can find more details about GloScope in the [original publication](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-024-03398-1).\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "8d6a2591",
+      "metadata": {},
+      "source": [
+        "Gloscope has shown the best performance among methods in the [SPARE sample representation benchmark](https://openreview.net/forum?id=IoRv5afWtb). It captures clinical information well and uncovers disease trajectories as demonstrated in our [patient trajectory analysis tutorial](https://patpy.readthedocs.io/en/latest/notebooks/Patient_trajectories_example.html). In this notebook, we'll run our Python reimplementation of GloScope. We'll see that it gives identical results to the [original R implemetation](https://www.bioconductor.org/packages/release/bioc/html/GloScope.html), but is orders of magnitude faster."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "89139dfa",
+      "metadata": {
+        "id": "89139dfa"
+      },
+      "source": [
+        "## 1. Setup"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "37d017a0",
+      "metadata": {},
+      "source": [
+        "There are 2 possible ways to run GloScope in python: with GPU and without. While both are more efficient than R version, GPU uses accelerated engine for mathematical operations and performs particularly rapidly. But all good things come at a cost: to use GPU you must have it in your computer and install additional packages. If this works for you, follow the installation steps below. **For running CPU version, jump to step 1.3**, all the required dependencies already come with `patpy`."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "777a8cc8",
+      "metadata": {
+        "id": "777a8cc8"
+      },
+      "source": [
+        "### 1.1 Option 1 (with conda)\n",
+        "\n",
+        "1. Download the environment file from [here](https://github.com/HCA-integration/scAtlasTb/blob/main/envs/rapids_singlecell.yaml) or manually create a file `rapids_singlecell.yaml` with the following content:\n",
+        "\n",
+        "```yaml\n",
+        "name: rapids_singlecell\n",
+        "channels:\n",
+        "  - rapidsai\n",
+        "  - nvidia\n",
+        "  - conda-forge\n",
+        "  - bioconda\n",
+        "dependencies:\n",
+        "  - python=3.11\n",
+        "  - anndata=0.11\n",
+        "  - scanpy=1.11\n",
+        "  - leidenalg\n",
+        "  - louvain\n",
+        "  - zarr\n",
+        "  - cuda-version=12\n",
+        "  - rapids=24.06\n",
+        "  - scikit-learn<1.6 # required by dask-ml\n",
+        "  - scipy<1.15\n",
+        "  - dask\n",
+        "  - dask-ml\n",
+        "  - sparse\n",
+        "  - harmonypy\n",
+        "  - pytorch\n",
+        "  - pip\n",
+        "  - pip:\n",
+        "    - rapids-singlecell\n",
+        "    - scikit-learn<1.6\n",
+        "```\n",
+        "\n",
+        "2. Create a new conda environment based on this file:\n",
+        "\n",
+        "```bash\n",
+        "conda env create -f rapids_singlecell.yaml\n",
+        "```\n",
+        "\n",
+        "3. Activate the environment:\n",
+        "\n",
+        "```bash\n",
+        "conda activate rapids_singlecell\n",
+        "```\n",
+        "\n",
+        "4. Install ipykernel to be able to use this environment in a jupyter notebook:\n",
+        "\n",
+        "```bash\n",
+        "conda install ipykernel\n",
+        "```"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "c647f71c",
+      "metadata": {},
+      "source": [
+        "### 1.2 Option 2 (conda-free). Install the RAPIDS package"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "63acd0bb",
+      "metadata": {},
+      "source": [
+        "You can use the script provided by rapidsai developers. Activate a desired environment, and run the following:\n",
+        "\n",
+        "```bash\n",
+        "git clone https://github.com/rapidsai/rapidsai-csp-utils.git\n",
+        "python rapidsai-csp-utils/colab/pip-install.py\n",
+        "```"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "ded10b06",
+      "metadata": {},
+      "source": [
+        "Run this cell to enable consistent usage of array API:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "id": "4e4d391e",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:34:26.042625Z",
+          "iopub.status.busy": "2025-10-23T09:34:26.042318Z",
+          "iopub.status.idle": "2025-10-23T09:34:26.047199Z",
+          "shell.execute_reply": "2025-10-23T09:34:26.046901Z"
+        },
+        "id": "4e4d391e"
+      },
+      "outputs": [],
+      "source": [
+        "import os\n",
+        "os.environ[\"SCIPY_ARRAY_API\"] = \"1\""
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "982b5ff0",
+      "metadata": {
+        "id": "982b5ff0"
+      },
+      "source": [
+        "### 1.3 Install the patpy package\n",
+        "\n",
+        "For latest released version, simply run:\n",
+        "\n",
+        "```bash\n",
+        "pip install patpy\n",
+        "```\n",
+        "\n",
+        "To get a newer development version (might be unstable), install from github:\n",
+        "\n",
+        "```bash\n",
+        "pip install git+https://github.com/lueckenlab/patpy.git@main\n",
+        "```"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "d663964e",
+      "metadata": {
+        "id": "d663964e"
+      },
+      "source": [
+        "### 1.4 Import packages"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "id": "983ba9ef",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:34:26.048539Z",
+          "iopub.status.busy": "2025-10-23T09:34:26.048409Z",
+          "iopub.status.idle": "2025-10-23T09:39:12.704693Z",
+          "shell.execute_reply": "2025-10-23T09:39:12.568156Z"
+        },
+        "id": "983ba9ef"
+      },
+      "outputs": [],
+      "source": [
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import patpy\n",
+        "import seaborn as sns\n",
+        "import matplotlib.pyplot as plt\n",
+        "\n",
+        "import random\n",
+        "\n",
+        "random.seed(42)\n",
+        "np.random.seed(42)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "id": "d99d93b4",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 35
+        },
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:39:12.714139Z",
+          "iopub.status.busy": "2025-10-23T09:39:12.713586Z",
+          "iopub.status.idle": "2025-10-23T09:39:12.718034Z",
+          "shell.execute_reply": "2025-10-23T09:39:12.717630Z"
+        },
+        "id": "d99d93b4",
+        "outputId": "ec9617fe-bf64-4e9c-d863-9735c7446ac9"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "'0.15.2'"
+            ]
+          },
+          "execution_count": 2,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
       ],
-      "text/plain": [
-       "                            Source  Outcome  Death28  Hospitalstay  \\\n",
-       "scRNASeq_sample_ID                                                   \n",
-       "S00109-Ja001E-PBCa       COVID_SEV      2.0        0           1.0   \n",
-       "S00112-Ja003E-PBCa      COVID_MILD      5.0        0           2.0   \n",
-       "S00005-Ja005E-PBCa      COVID_CRIT      2.0        0           4.0   \n",
-       "S00061-Ja003E-PBCa       COVID_SEV      4.0        0           2.0   \n",
-       "S00056-Ja003E-PBCa       COVID_SEV      3.0        0           3.0   \n",
-       "...                            ...      ...      ...           ...   \n",
-       "S00065-Ja003E-PBCa      COVID_CRIT      2.0        0           3.0   \n",
-       "S00048-Ja003E-PBCa       COVID_SEV      4.0        0           2.0   \n",
-       "G05112-Ja005E-PBCa  COVID_HCW_MILD      6.0        0           NaN   \n",
-       "N00038-Ja001E-PBGa          Sepsis      NaN        0           0.0   \n",
-       "U00501-Ua005E-PBUa             Flu      2.0        0           NaN   \n",
-       "\n",
-       "                    TimeSinceOnset   Institute Pool_ID  Age  Sex  BMI  \\\n",
-       "scRNASeq_sample_ID                                                      \n",
-       "S00109-Ja001E-PBCa            12.0      Oxford  gPlexA  5.0    1    5   \n",
-       "S00112-Ja003E-PBCa            12.0      Oxford  gPlexA  5.0    1    5   \n",
-       "S00005-Ja005E-PBCa            14.0      Oxford  gPlexA  7.0    0    1   \n",
-       "S00061-Ja003E-PBCa             6.0      Oxford  gPlexA  5.0    1    5   \n",
-       "S00056-Ja003E-PBCa            23.0      Oxford  gPlexA  7.0    0    5   \n",
-       "...                            ...         ...     ...  ...  ...  ...   \n",
-       "S00065-Ja003E-PBCa            16.0      Oxford  gPlexK  5.0    0    5   \n",
-       "S00048-Ja003E-PBCa            12.0      Oxford  gPlexK  7.0    1    3   \n",
-       "G05112-Ja005E-PBCa             7.0      Oxford  gPlexK  4.0    0    5   \n",
-       "N00038-Ja001E-PBGa             7.0      Oxford  gPlexK  4.0    1    5   \n",
-       "U00501-Ua005E-PBUa            11.0  St_Georges  gPlexK  6.0    1    1   \n",
-       "\n",
-       "                    PreExistingHeartDisease  PreExistingLungDisease  \\\n",
-       "scRNASeq_sample_ID                                                    \n",
-       "S00109-Ja001E-PBCa                      0.0                     0.0   \n",
-       "S00112-Ja003E-PBCa                      0.0                     0.0   \n",
-       "S00005-Ja005E-PBCa                      1.0                     0.0   \n",
-       "S00061-Ja003E-PBCa                      0.0                     0.0   \n",
-       "S00056-Ja003E-PBCa                      0.0                     0.0   \n",
-       "...                                     ...                     ...   \n",
-       "S00065-Ja003E-PBCa                      0.0                     0.0   \n",
-       "S00048-Ja003E-PBCa                      0.0                     0.0   \n",
-       "G05112-Ja005E-PBCa                      NaN                     NaN   \n",
-       "N00038-Ja001E-PBGa                      0.0                     0.0   \n",
-       "U00501-Ua005E-PBUa                      NaN                     NaN   \n",
-       "\n",
-       "                    PreExistingDiabetes  PreExistingHypertension  Smoking  \\\n",
-       "scRNASeq_sample_ID                                                          \n",
-       "S00109-Ja001E-PBCa                  0.0                      1.0        0   \n",
-       "S00112-Ja003E-PBCa                  0.0                      0.0        0   \n",
-       "S00005-Ja005E-PBCa                  0.0                      1.0        0   \n",
-       "S00061-Ja003E-PBCa                  0.0                      0.0        0   \n",
-       "S00056-Ja003E-PBCa                  0.0                      0.0        0   \n",
-       "...                                 ...                      ...      ...   \n",
-       "S00065-Ja003E-PBCa                  1.0                      0.0        0   \n",
-       "S00048-Ja003E-PBCa                  0.0                      1.0        0   \n",
-       "G05112-Ja005E-PBCa                  NaN                      NaN        0   \n",
-       "N00038-Ja001E-PBGa                  0.0                      0.0        0   \n",
-       "U00501-Ua005E-PBUa                  0.0                      0.0        0   \n",
-       "\n",
-       "                    Requiredvasoactive  SARSCoV2PCR  \n",
-       "scRNASeq_sample_ID                                   \n",
-       "S00109-Ja001E-PBCa                 1.0            1  \n",
-       "S00112-Ja003E-PBCa                 0.0            1  \n",
-       "S00005-Ja005E-PBCa                 1.0            1  \n",
-       "S00061-Ja003E-PBCa                 0.0            1  \n",
-       "S00056-Ja003E-PBCa                 0.0            1  \n",
-       "...                                ...          ...  \n",
-       "S00065-Ja003E-PBCa                 1.0            1  \n",
-       "S00048-Ja003E-PBCa                 0.0            1  \n",
-       "G05112-Ja005E-PBCa                 NaN            1  \n",
-       "N00038-Ja001E-PBGa                 0.0            0  \n",
-       "U00501-Ua005E-PBUa                 1.0            0  \n",
-       "\n",
-       "[138 rows x 17 columns]"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "metadata = adata.obs[samples_metadata_cols + [sample_id_col]].drop_duplicates()\n",
-    "metadata.set_index(sample_id_col, inplace=True)\n",
-    "metadata"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "09378bd4",
-   "metadata": {},
-   "source": [
-    "Let's further add quality control information to evaluate how much representations are affected by number of genes, mRNA counts and percentage of mitochondrial genes. We'll aggregate this cell-level QC metric using a median for every sample:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "86fa8e37",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 538
-    },
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:23.720919Z",
-     "iopub.status.busy": "2025-10-23T09:39:23.720768Z",
-     "iopub.status.idle": "2025-10-23T09:39:23.876947Z",
-     "shell.execute_reply": "2025-10-23T09:39:23.876523Z"
-    },
-    "id": "86fa8e37",
-    "outputId": "c69d904c-ba44-48a3-bcde-e53b65d1c50c"
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/tools/vladimir.shitov/patient_representation/src/patpy/pp/basic.py:178: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
-      "  metadata = adata.obs[[sample_key, *cell_qc_vars]].groupby(by=sample_key)\n",
-      "/ictstr01/groups/luckylab/tools/vladimir.shitov/patient_representation/src/patpy/pp/basic.py:180: FutureWarning: The provided callable  is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"median\" instead.\n",
-      "  cells_qc_aggregated = metadata.aggregate(agg_function)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
median_n_genes_by_countsmedian_total_countsmedian_pct_counts_mt
scRNASeq_sample_ID
G05061-Ja005E-PBCa1107.03125.53.011159
G05064-Ja005E-PBCa975.02933.01.332430
G05073-Ja005E-PBCa1141.03554.02.422559
G05077-Ja005E-PBCa1125.03268.02.946723
G05078-Ja005E-PBCa999.03106.02.825308
............
U00607-Ua005E-PBUa1827.05749.02.982509
U00613-Ua005E-PBUa1251.53325.02.053083
U00617-Ua005E-PBUa1410.54524.03.886215
U00619-Ua005E-PBUa1532.04105.02.688350
U00701-Ua005E-PBUa1093.53074.53.714650
\n",
-       "
138 rows × 3 columns
\n",
-       "
"
+      "source": [
+        "patpy.__version__"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "1f14b221",
+      "metadata": {
+        "id": "1f14b221"
+      },
+      "source": [
+        "## 2. Data Preparation"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "36a105cc",
+      "metadata": {
+        "id": "36a105cc"
+      },
+      "source": [
+        "### 2.1 Read the data\n",
+        "\n",
+        "Here, we use a preprocessed version of the COMBAT dataset. {cite}`ahern2022blood` This dataset contains 783k cells from 140 COVID-19 patients and healthy donors.\n",
+        "\n",
+        "`patpy` provides a ready-to-use version of this data in `AnnData` format."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "id": "c15dfec8",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:39:12.719346Z",
+          "iopub.status.busy": "2025-10-23T09:39:12.719205Z",
+          "iopub.status.idle": "2025-10-23T09:39:12.721200Z",
+          "shell.execute_reply": "2025-10-23T09:39:12.720824Z"
+        },
+        "id": "c15dfec8"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "AnnData object with n_obs × n_vars = 783677 × 3000\n",
+              "    obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID', 'ifn_1_score', '_scvi_batch', '_scvi_labels', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'pct_counts_in_top_50_genes', 'pct_counts_in_top_100_genes', 'pct_counts_in_top_200_genes', 'pct_counts_in_top_500_genes', 'total_counts_mt', 'log1p_total_counts_mt', 'pct_counts_mt', 'total_counts_ribo', 'log1p_total_counts_ribo', 'pct_counts_ribo', 'vertex', 'eigenvector_centrality'\n",
+              "    var: 'gene_ids', 'feature_types', 'highly_variable', 'highly_variable_rank', 'means', 'variances', 'variances_norm', 'highly_variable_nbatches', 'mt', 'ribo', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts', 'log1p_total_counts'\n",
+              "    uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'X_gloscope_cuml_distances', 'X_gloscope_pynndescent_distances', 'X_scpoli', '_scvi_manager_uuid', '_scvi_uuid', 'genome_annotation_version', 'gloscope_representation', 'gloscope_scpoli_distances', 'hvg', 'log1p', 'neighbors', 'pca', 'scpoli_distances', 'scpoli_parameters', 'scpoli_samples'\n",
+              "    obsm: 'X_pca', 'X_scANVI_batch', 'X_scANVI_sample', 'X_scVI_batch', 'X_scVI_sample', 'X_scpoli', 'X_umap', 'X_umap_source'\n",
+              "    varm: 'PCs'\n",
+              "    layers: 'X_raw_counts'\n",
+              "    obsp: 'connectivities', 'distances'"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "text/plain": [
+              "DatasetInfo(n_donors=140, n_cells=783677, n_features=3000, sample_key='scRNASeq_sample_ID', cell_type_key='Annotation_major_subset', sample_metadata_columns=['Source', 'Outcome', 'Death28', 'Institute', 'Pool_ID'])"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
       ],
-      "text/plain": [
-       "                    median_n_genes_by_counts  median_total_counts  \\\n",
-       "scRNASeq_sample_ID                                                  \n",
-       "G05061-Ja005E-PBCa                    1107.0               3125.5   \n",
-       "G05064-Ja005E-PBCa                     975.0               2933.0   \n",
-       "G05073-Ja005E-PBCa                    1141.0               3554.0   \n",
-       "G05077-Ja005E-PBCa                    1125.0               3268.0   \n",
-       "G05078-Ja005E-PBCa                     999.0               3106.0   \n",
-       "...                                      ...                  ...   \n",
-       "U00607-Ua005E-PBUa                    1827.0               5749.0   \n",
-       "U00613-Ua005E-PBUa                    1251.5               3325.0   \n",
-       "U00617-Ua005E-PBUa                    1410.5               4524.0   \n",
-       "U00619-Ua005E-PBUa                    1532.0               4105.0   \n",
-       "U00701-Ua005E-PBUa                    1093.5               3074.5   \n",
-       "\n",
-       "                    median_pct_counts_mt  \n",
-       "scRNASeq_sample_ID                        \n",
-       "G05061-Ja005E-PBCa              3.011159  \n",
-       "G05064-Ja005E-PBCa              1.332430  \n",
-       "G05073-Ja005E-PBCa              2.422559  \n",
-       "G05077-Ja005E-PBCa              2.946723  \n",
-       "G05078-Ja005E-PBCa              2.825308  \n",
-       "...                                  ...  \n",
-       "U00607-Ua005E-PBUa              2.982509  \n",
-       "U00613-Ua005E-PBUa              2.053083  \n",
-       "U00617-Ua005E-PBUa              3.886215  \n",
-       "U00619-Ua005E-PBUa              2.688350  \n",
-       "U00701-Ua005E-PBUa              3.714650  \n",
-       "\n",
-       "[138 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cell_qc_metadata = patpy.pp.calculate_cell_qc_metrics(\n",
-    "    adata, sample_key=sample_id_col, cell_qc_vars=[\"QC_ngenes\", \"QC_total_UMI\", \"QC_pct_mitochondrial\"]\n",
-    ")\n",
-    "cell_qc_metadata.columns = [\"median_n_genes_by_counts\", \"median_total_counts\", \"median_pct_counts_mt\"]\n",
-    "cell_qc_metadata"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "a53f085c",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 450
-    },
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:23.878299Z",
-     "iopub.status.busy": "2025-10-23T09:39:23.878154Z",
-     "iopub.status.idle": "2025-10-23T09:39:23.896888Z",
-     "shell.execute_reply": "2025-10-23T09:39:23.896536Z"
-    },
-    "id": "a53f085c",
-    "outputId": "235fb99b-fb16-4f5b-a43e-7ae34956cb12"
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
n_cells
scRNASeq_sample_ID
S00052-Ja005E-PBCa13918
H00054-Ha001E-PBGa10938
H00067-Ha001E-PBGa10781
N00023-Ja001E-PBGa10484
H00053-Ha001E-PBGa10458
......
U00607-Ua005E-PBUa1021
U00613-Ua005E-PBUa970
U00701-Ua005E-PBUa872
U00601-Ua005E-PBUa619
U00504-Ua005E-PBUa161
\n",
-       "
138 rows × 1 columns
\n",
-       "
"
+      "source": [
+        "adata, combat_info = patpy.datasets.combat_preprocessed(return_dataset_info=True)\n",
+        "display(adata)\n",
+        "display(combat_info)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "892bab5c",
+      "metadata": {
+        "id": "892bab5c"
+      },
+      "source": [
+        "### 2.2 Set columns containing sample IDs, cell types and metadata\n",
+        "\n",
+        "For convenience, let's store columns contatining patient-level information to python variables:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 4,
+      "id": "dd6105aa",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:39:23.195900Z",
+          "iopub.status.busy": "2025-10-23T09:39:23.195720Z",
+          "iopub.status.idle": "2025-10-23T09:39:23.214794Z",
+          "shell.execute_reply": "2025-10-23T09:39:23.214445Z"
+        },
+        "id": "dd6105aa"
+      },
+      "outputs": [],
+      "source": [
+        "sample_id_col = \"scRNASeq_sample_ID\"\n",
+        "\n",
+        "# Columns from adata.obs containing metadata about samples\n",
+        "samples_metadata_cols = [\"Source\", \"Outcome\", \"Death28\", \"Hospitalstay\", \"TimeSinceOnset\", \"Institute\", \"Pool_ID\",\n",
+        "                         \"Age\", \"Sex\", \"BMI\", \"PreExistingHeartDisease\", \"PreExistingLungDisease\", \"PreExistingDiabetes\",\n",
+        "                         \"PreExistingHypertension\", \"Smoking\", \"Requiredvasoactive\", \"SARSCoV2PCR\"]\n",
+        "\n",
+        "# Columns we will use for plotting\n",
+        "cols_to_plot = [\"Source\", \"Outcome\", \"Death28\", \"Institute\", \"Pool_ID\"]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "6e71f9c7",
+      "metadata": {},
+      "source": [
+        "Additionally, let's set a layer that we will use as cell representations. It must be `\"X\"` or one of the keys in either `.layers` or `.obsm`. Here, we will use scVI embedding:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 5,
+      "id": "08157ba7",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:39:23.216088Z",
+          "iopub.status.busy": "2025-10-23T09:39:23.215944Z",
+          "iopub.status.idle": "2025-10-23T09:39:23.217878Z",
+          "shell.execute_reply": "2025-10-23T09:39:23.217538Z"
+        }
+      },
+      "outputs": [],
+      "source": [
+        "layer = \"X_scVI_batch\""
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "171cc650",
+      "metadata": {
+        "id": "171cc650"
+      },
+      "source": [
+        "### 2.3 Store metadata and calculate QC metrics"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "9fb37423",
+      "metadata": {},
+      "source": [
+        "To evaluate sample representation, let's extract a sample metadata table from `.obs` data frame in annotated data object:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 6,
+      "id": "5c03fcac",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 470
+        },
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:39:23.219105Z",
+          "iopub.status.busy": "2025-10-23T09:39:23.218970Z",
+          "iopub.status.idle": "2025-10-23T09:39:23.719536Z",
+          "shell.execute_reply": "2025-10-23T09:39:23.719134Z"
+        },
+        "id": "5c03fcac",
+        "outputId": "3308a6b4-82b6-40b0-ae01-74a8316831f4"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
SourceOutcomeDeath28HospitalstayTimeSinceOnsetInstitutePool_IDAgeSexBMIPreExistingHeartDiseasePreExistingLungDiseasePreExistingDiabetesPreExistingHypertensionSmokingRequiredvasoactiveSARSCoV2PCR
scRNASeq_sample_ID
S00109-Ja001E-PBCaCOVID_SEV2.001.012.0OxfordgPlexA5.0150.00.00.01.001.01
S00112-Ja003E-PBCaCOVID_MILD5.002.012.0OxfordgPlexA5.0150.00.00.00.000.01
S00005-Ja005E-PBCaCOVID_CRIT2.004.014.0OxfordgPlexA7.0011.00.00.01.001.01
S00061-Ja003E-PBCaCOVID_SEV4.002.06.0OxfordgPlexA5.0150.00.00.00.000.01
S00056-Ja003E-PBCaCOVID_SEV3.003.023.0OxfordgPlexA7.0050.00.00.00.000.01
......................................................
S00065-Ja003E-PBCaCOVID_CRIT2.003.016.0OxfordgPlexK5.0050.00.01.00.001.01
S00048-Ja003E-PBCaCOVID_SEV4.002.012.0OxfordgPlexK7.0130.00.00.01.000.01
G05112-Ja005E-PBCaCOVID_HCW_MILD6.00NaN7.0OxfordgPlexK4.005NaNNaNNaNNaN0NaN1
N00038-Ja001E-PBGaSepsisNaN00.07.0OxfordgPlexK4.0150.00.00.00.000.00
U00501-Ua005E-PBUaFlu2.00NaN11.0St_GeorgesgPlexK6.011NaNNaN0.00.001.00
\n",
+              "
138 rows × 17 columns
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                            Source  Outcome  Death28  Hospitalstay  \\\n",
+              "scRNASeq_sample_ID                                                   \n",
+              "S00109-Ja001E-PBCa       COVID_SEV      2.0        0           1.0   \n",
+              "S00112-Ja003E-PBCa      COVID_MILD      5.0        0           2.0   \n",
+              "S00005-Ja005E-PBCa      COVID_CRIT      2.0        0           4.0   \n",
+              "S00061-Ja003E-PBCa       COVID_SEV      4.0        0           2.0   \n",
+              "S00056-Ja003E-PBCa       COVID_SEV      3.0        0           3.0   \n",
+              "...                            ...      ...      ...           ...   \n",
+              "S00065-Ja003E-PBCa      COVID_CRIT      2.0        0           3.0   \n",
+              "S00048-Ja003E-PBCa       COVID_SEV      4.0        0           2.0   \n",
+              "G05112-Ja005E-PBCa  COVID_HCW_MILD      6.0        0           NaN   \n",
+              "N00038-Ja001E-PBGa          Sepsis      NaN        0           0.0   \n",
+              "U00501-Ua005E-PBUa             Flu      2.0        0           NaN   \n",
+              "\n",
+              "                    TimeSinceOnset   Institute Pool_ID  Age  Sex  BMI  \\\n",
+              "scRNASeq_sample_ID                                                      \n",
+              "S00109-Ja001E-PBCa            12.0      Oxford  gPlexA  5.0    1    5   \n",
+              "S00112-Ja003E-PBCa            12.0      Oxford  gPlexA  5.0    1    5   \n",
+              "S00005-Ja005E-PBCa            14.0      Oxford  gPlexA  7.0    0    1   \n",
+              "S00061-Ja003E-PBCa             6.0      Oxford  gPlexA  5.0    1    5   \n",
+              "S00056-Ja003E-PBCa            23.0      Oxford  gPlexA  7.0    0    5   \n",
+              "...                            ...         ...     ...  ...  ...  ...   \n",
+              "S00065-Ja003E-PBCa            16.0      Oxford  gPlexK  5.0    0    5   \n",
+              "S00048-Ja003E-PBCa            12.0      Oxford  gPlexK  7.0    1    3   \n",
+              "G05112-Ja005E-PBCa             7.0      Oxford  gPlexK  4.0    0    5   \n",
+              "N00038-Ja001E-PBGa             7.0      Oxford  gPlexK  4.0    1    5   \n",
+              "U00501-Ua005E-PBUa            11.0  St_Georges  gPlexK  6.0    1    1   \n",
+              "\n",
+              "                    PreExistingHeartDisease  PreExistingLungDisease  \\\n",
+              "scRNASeq_sample_ID                                                    \n",
+              "S00109-Ja001E-PBCa                      0.0                     0.0   \n",
+              "S00112-Ja003E-PBCa                      0.0                     0.0   \n",
+              "S00005-Ja005E-PBCa                      1.0                     0.0   \n",
+              "S00061-Ja003E-PBCa                      0.0                     0.0   \n",
+              "S00056-Ja003E-PBCa                      0.0                     0.0   \n",
+              "...                                     ...                     ...   \n",
+              "S00065-Ja003E-PBCa                      0.0                     0.0   \n",
+              "S00048-Ja003E-PBCa                      0.0                     0.0   \n",
+              "G05112-Ja005E-PBCa                      NaN                     NaN   \n",
+              "N00038-Ja001E-PBGa                      0.0                     0.0   \n",
+              "U00501-Ua005E-PBUa                      NaN                     NaN   \n",
+              "\n",
+              "                    PreExistingDiabetes  PreExistingHypertension  Smoking  \\\n",
+              "scRNASeq_sample_ID                                                          \n",
+              "S00109-Ja001E-PBCa                  0.0                      1.0        0   \n",
+              "S00112-Ja003E-PBCa                  0.0                      0.0        0   \n",
+              "S00005-Ja005E-PBCa                  0.0                      1.0        0   \n",
+              "S00061-Ja003E-PBCa                  0.0                      0.0        0   \n",
+              "S00056-Ja003E-PBCa                  0.0                      0.0        0   \n",
+              "...                                 ...                      ...      ...   \n",
+              "S00065-Ja003E-PBCa                  1.0                      0.0        0   \n",
+              "S00048-Ja003E-PBCa                  0.0                      1.0        0   \n",
+              "G05112-Ja005E-PBCa                  NaN                      NaN        0   \n",
+              "N00038-Ja001E-PBGa                  0.0                      0.0        0   \n",
+              "U00501-Ua005E-PBUa                  0.0                      0.0        0   \n",
+              "\n",
+              "                    Requiredvasoactive  SARSCoV2PCR  \n",
+              "scRNASeq_sample_ID                                   \n",
+              "S00109-Ja001E-PBCa                 1.0            1  \n",
+              "S00112-Ja003E-PBCa                 0.0            1  \n",
+              "S00005-Ja005E-PBCa                 1.0            1  \n",
+              "S00061-Ja003E-PBCa                 0.0            1  \n",
+              "S00056-Ja003E-PBCa                 0.0            1  \n",
+              "...                                ...          ...  \n",
+              "S00065-Ja003E-PBCa                 1.0            1  \n",
+              "S00048-Ja003E-PBCa                 0.0            1  \n",
+              "G05112-Ja005E-PBCa                 NaN            1  \n",
+              "N00038-Ja001E-PBGa                 0.0            0  \n",
+              "U00501-Ua005E-PBUa                 1.0            0  \n",
+              "\n",
+              "[138 rows x 17 columns]"
+            ]
+          },
+          "execution_count": 6,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
       ],
-      "text/plain": [
-       "                    n_cells\n",
-       "scRNASeq_sample_ID         \n",
-       "S00052-Ja005E-PBCa    13918\n",
-       "H00054-Ha001E-PBGa    10938\n",
-       "H00067-Ha001E-PBGa    10781\n",
-       "N00023-Ja001E-PBGa    10484\n",
-       "H00053-Ha001E-PBGa    10458\n",
-       "...                     ...\n",
-       "U00607-Ua005E-PBUa     1021\n",
-       "U00613-Ua005E-PBUa      970\n",
-       "U00701-Ua005E-PBUa      872\n",
-       "U00601-Ua005E-PBUa      619\n",
-       "U00504-Ua005E-PBUa      161\n",
-       "\n",
-       "[138 rows x 1 columns]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "n_genes_metadata = patpy.pp.calculate_n_cells_per_sample(adata, sample_id_col)\n",
-    "n_genes_metadata"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5844eb87",
-   "metadata": {
-    "id": "5844eb87"
-   },
-   "source": [
-    "Combine all the tables into one:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "a4c9386f",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:23.898191Z",
-     "iopub.status.busy": "2025-10-23T09:39:23.898052Z",
-     "iopub.status.idle": "2025-10-23T09:39:23.903165Z",
-     "shell.execute_reply": "2025-10-23T09:39:23.902855Z"
-    },
-    "id": "a4c9386f",
-    "outputId": "c982d5d8-8b2e-4556-bae7-9b38b8706e52"
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(138, 21)"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "metadata = pd.concat(\n",
-    "    [\n",
-    "        metadata,\n",
-    "        cell_qc_metadata.loc[metadata.index],\n",
-    "        n_genes_metadata.loc[metadata.index],\n",
-    "    ],\n",
-    "    axis=1,\n",
-    ")\n",
-    "\n",
-    "metadata.shape"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f1cc0d0f",
-   "metadata": {},
-   "source": [
-    "Merge aggregated QC to cell metadata:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "42a271eb",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:23.904372Z",
-     "iopub.status.busy": "2025-10-23T09:39:23.904248Z",
-     "iopub.status.idle": "2025-10-23T09:39:24.211279Z",
-     "shell.execute_reply": "2025-10-23T09:39:24.210724Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "adata.obs = adata.obs.merge(metadata.drop(columns=samples_metadata_cols), left_on=sample_id_col, right_index=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b84ae0b5",
-   "metadata": {
-    "id": "b84ae0b5"
-   },
-   "source": [
-    "### 2.4 Quality control\n",
-    "\n",
-    "To reduce noise in the representations, we need to remove samples with too few cells:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "69bc7bc9",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:24.213088Z",
-     "iopub.status.busy": "2025-10-23T09:39:24.212905Z",
-     "iopub.status.idle": "2025-10-23T09:39:28.257598Z",
-     "shell.execute_reply": "2025-10-23T09:39:28.257214Z"
-    },
-    "id": "69bc7bc9",
-    "outputId": "44ba1122-06fe-4467-cb88-279ddd5d69fd"
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1 samples removed: U00504-Ua005E-PBUa\n"
-     ]
-    }
-   ],
-   "source": [
-    "adata = patpy.pp.filter_small_samples(adata, sample_key=sample_id_col, sample_size_threshold=500)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f4bbeea9",
-   "metadata": {
-    "id": "f4bbeea9"
-   },
-   "source": [
-    "## 3. Running GloScope in Python\n",
-    "\n",
-    "The nearest neighbor computation for the distance matrix calculation can either be done using a CPU or a GPU. By setting the parameter `use_gpu=True` the matrix will be calculated using either [cuML](https://docs.rapids.ai/api/cuml/stable/) or [PyNNDescent](https://pynndescent.readthedocs.io/en/stable/index.html)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1ad36fb1",
-   "metadata": {
-    "id": "1ad36fb1"
-   },
-   "source": [
-    "### 4.1 Run the GloScope with GPU acceleration"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c304568f",
-   "metadata": {},
-   "source": [
-    "Using patpy, we can run sample representation methods with a simple interface:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "f19bc430",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:28.259303Z",
-     "iopub.status.busy": "2025-10-23T09:39:28.259137Z",
-     "iopub.status.idle": "2025-10-23T09:39:28.264096Z",
-     "shell.execute_reply": "2025-10-23T09:39:28.263711Z"
-    },
-    "id": "f19bc430"
-   },
-   "outputs": [],
-   "source": [
-    "gloscope_py = patpy.tl.GloScope_py(sample_key=sample_id_col, layer=layer, k=25, use_gpu=True)\n",
-    "gloscope_py.prepare_anndata(adata)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "18b35ae1",
-   "metadata": {
-    "id": "18b35ae1"
-   },
-   "source": [
-    "### 4.2 Calculate the distance matrix between samples\n",
-    "\n",
-    "GloScope does not create a vector representation of samples, but instead gives a pairwise KL-divergence matrix. The smaller the values, the more similar samples are. GloScope does not produce \"distances\" in mathematical sense, but we can treat the divergencies like it. Even with that caveat, it captures more information than other sample representation methods."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "81898119",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:39:28.265523Z",
-     "iopub.status.busy": "2025-10-23T09:39:28.265380Z",
-     "iopub.status.idle": "2025-10-23T09:41:42.929817Z",
-     "shell.execute_reply": "2025-10-23T09:41:42.929299Z"
-    },
-    "id": "81898119",
-    "outputId": "7caa3fae-6e9b-4604-f01f-0600842fb0d0"
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      ":1241: FutureWarning: The cuda.cudart module is deprecated and will be removed in a future release, please switch to use the cuda.bindings.runtime module instead.\n",
-      ":1241: FutureWarning: The cuda.cuda module is deprecated and will be removed in a future release, please switch to use the cuda.bindings.driver module instead.\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 21.4 s, sys: 3.54 s, total: 25 s\n",
-      "Wall time: 2min 14s\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "array([[0.        , 2.98802018, 4.96645102, ..., 3.36136601, 8.29764793,\n",
-       "        4.77171363],\n",
-       "       [2.98802018, 0.        , 4.58604968, ..., 4.24508584, 7.28937722,\n",
-       "        2.99966394],\n",
-       "       [4.96645102, 4.58604968, 0.        , ..., 5.72771941, 7.25859998,\n",
-       "        3.11516585],\n",
-       "       ...,\n",
-       "       [3.36136601, 4.24508584, 5.72771941, ..., 0.        , 7.92112695,\n",
-       "        5.27670011],\n",
-       "       [8.29764793, 7.28937722, 7.25859998, ..., 7.92112695, 0.        ,\n",
-       "        4.89489186],\n",
-       "       [4.77171363, 2.99966394, 3.11516585, ..., 5.27670011, 4.89489186,\n",
-       "        0.        ]], shape=(137, 137))"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "%%time\n",
-    "distances_py = gloscope_py.calculate_distance_matrix(force=True)\n",
-    "distances_py"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e9b9fc26",
-   "metadata": {
-    "id": "e9b9fc26"
-   },
-   "source": [
-    "Our implementation only takes about two minutes for the whole COMBAT data set when using GPU! Perfect time for you to go for another cup of coffee, but not long enough to make you feel bored."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "016fe326",
-   "metadata": {
-    "id": "016fe326"
-   },
-   "source": [
-    "### 4.3 Visualise the sample representation using UMAP\n",
-    "\n",
-    "But does GloScope capture information about samples? Let's build a UMAP plot to get an idea. On this plot, similar patients are localised together:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "287607cc",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 383
-    },
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:41:42.931527Z",
-     "iopub.status.busy": "2025-10-23T09:41:42.931109Z",
-     "iopub.status.idle": "2025-10-23T09:42:17.095748Z",
-     "shell.execute_reply": "2025-10-23T09:42:17.095204Z"
-    },
-    "id": "287607cc",
-    "outputId": "3529ef2c-d706-40fd-8fcf-2fb3740146bc"
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
-      "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
-      "  warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "gloscope_py.plot_embedding(method=\"UMAP\", metadata_cols=cols_to_plot);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b08af079",
-   "metadata": {},
-   "source": [
-    "We can see that patients with similar \"Source\" and \"Outcome\" are grouped together. The latter reflects the severity of the disease: from 1, which means death, to 6, which encodes healthy donors. \"Death28\" column encodes whether patients died in the period of 28 days. The last 2 columns represent locations where samples were processed and the batches. The visualisation suggests that the batches mix with each other and explain the embedding much worse than the Outcome. We will further validate this finding numerically."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ca9aea05",
-   "metadata": {
-    "id": "ca9aea05"
-   },
-   "source": [
-    "## 4. Evaluating sources of variation in the data\n",
-    "\n",
-    "While somebody is already writing a wrathful twitter thread on our interpretation of UMAPs, let's compute some metrics to understand what explains sample-level variation in the data. We need to classify our sample-level covariates (columns in the metadata) to clinically relevant, technical and contextual. The former 2 categories can be used to judge whether sample representation method is working well for our analysis goals. The \"contextual\" category contains columns, which we don't aim to analyse, but may want to know whether they impact the representation.\n",
-    "\n",
-    "Furthermore, we need to define prediction tasks for every metadata columns. They must be one of:\n",
-    "- \"classification\" – for discrete labels such as disease status\n",
-    "- \"regression\" – for continuous covariates such as number of hospital stay days\n",
-    "- \"ranking\" – for ranked variables. For example, \"Outcome\" in our dataset is encoded as numbers from 1 to 6. In this case, if a sample has label \"6\" (healthy), predicting \"5\" (hospitalised, no extra oxigen) is better than \"3\" (non-invasive ventilation).\n",
-    "\n",
-    "We will predict each covariate based on the nearest neighbors (the most similar samples) in the representation. Setting the task will define metrics used to evaluate quality of the prediction. For classification, it is F1-macro score (corrected for random prediction), and for other tasks Spearman correlation is used."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "cfdf0683",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:42:17.097243Z",
-     "iopub.status.busy": "2025-10-23T09:42:17.097088Z",
-     "iopub.status.idle": "2025-10-23T09:42:17.099825Z",
-     "shell.execute_reply": "2025-10-23T09:42:17.099485Z"
-    },
-    "id": "cfdf0683"
-   },
-   "outputs": [],
-   "source": [
-    "benchmark_schema = {\n",
-    "    \"relevant\": {\n",
-    "        \"Source\": \"classification\",\n",
-    "        \"Outcome\": \"ranking\",\n",
-    "        \"Death28\": \"classification\",\n",
-    "        \"Hospitalstay\": \"regression\",\n",
-    "        \"TimeSinceOnset\": \"regression\"\n",
-    "    },\n",
-    "    \"technical\": {\n",
-    "        \"Institute\": \"classification\",\n",
-    "        \"Pool_ID\": \"classification\",\n",
-    "        \"median_n_genes_by_counts\": \"regression\",\n",
-    "        \"median_total_counts\": \"regression\",\n",
-    "        \"median_pct_counts_mt\": \"regression\",\n",
-    "        \"n_cells\": \"regression\"\n",
-    "    },\n",
-    "    \"contextual\": {\n",
-    "        \"Age\": \"regression\",\n",
-    "        \"Sex\": \"classification\",\n",
-    "        \"BMI\": \"regression\",\n",
-    "        \"PreExistingHeartDisease\": \"classification\",\n",
-    "        \"PreExistingLungDisease\": \"classification\",\n",
-    "        \"PreExistingDiabetes\": \"classification\",\n",
-    "        \"PreExistingHypertension\": \"classification\",\n",
-    "        \"Smoking\": \"classification\",\n",
-    "        \"Requiredvasoactive\": \"classification\",\n",
-    "        \"SARSCoV2PCR\": \"classification\"\n",
-    "    }\n",
-    "}"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b491b749",
-   "metadata": {
-    "id": "b491b749"
-   },
-   "source": [
-    "### 4.1 Run the covariate prediction"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "dabb38f2",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:42:17.101040Z",
-     "iopub.status.busy": "2025-10-23T09:42:17.100908Z",
-     "iopub.status.idle": "2025-10-23T09:42:17.104164Z",
-     "shell.execute_reply": "2025-10-23T09:42:17.103853Z"
-    },
-    "id": "dabb38f2"
-   },
-   "outputs": [],
-   "source": [
-    "metadata = metadata.loc[gloscope_py.samples]  # Ensure the order matches the distance matrix"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "461b8f9f",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:42:17.105288Z",
-     "iopub.status.busy": "2025-10-23T09:42:17.105164Z",
-     "iopub.status.idle": "2025-10-23T09:42:17.216915Z",
-     "shell.execute_reply": "2025-10-23T09:42:17.216546Z"
-    },
-    "id": "461b8f9f"
-   },
-   "outputs": [],
-   "source": [
-    "results = []\n",
-    "\n",
-    "for type_name, type_data in benchmark_schema.items():\n",
-    "    for target, task in type_data.items():\n",
-    "        result = patpy.tl.evaluate_representation(\n",
-    "            distances=distances_py,\n",
-    "            target=metadata[target],\n",
-    "            method=\"knn\",\n",
-    "            task=task,\n",
-    "            n_neighbors=5\n",
-    "        )\n",
-    "\n",
-    "        result[\"covariate\"] = target\n",
-    "        result[\"covariate_type\"] = type_name\n",
-    "\n",
-    "        if result[\"metric\"] == \"spearman_r\":\n",
-    "            result[\"score\"] = abs(result[\"score\"])\n",
-    "\n",
-    "        results.append(result)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ca91ee02",
-   "metadata": {},
-   "source": [
-    "We can order covariates based on how well they can be predicted from a representation. It gives us an insight on what explains variability in the data:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "74b3b970",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 720
-    },
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:42:17.218540Z",
-     "iopub.status.busy": "2025-10-23T09:42:17.218387Z",
-     "iopub.status.idle": "2025-10-23T09:42:17.225124Z",
-     "shell.execute_reply": "2025-10-23T09:42:17.224760Z"
-    },
-    "id": "74b3b970",
-    "outputId": "ad3e48c0-00da-4ea3-9aef-e1f5cfc3af7d"
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
scoremetricn_uniquen_observationsmethodcovariatecovariate_type
90.745459spearman_r137137knnmedian_pct_counts_mttechnical
70.631919spearman_r118137knnmedian_n_genes_by_countstechnical
10.626460spearman_r6112knnOutcomerelevant
200.599415f1_macro_calibrated2137knnSARSCoV2PCRcontextual
80.585656spearman_r131137knnmedian_total_countstechnical
150.549561f1_macro_calibrated299knnPreExistingLungDiseasecontextual
40.423161spearman_r26127knnTimeSinceOnsetrelevant
20.421534f1_macro_calibrated2137knnDeath28relevant
100.395705spearman_r137137knnn_cellstechnical
130.317015spearman_r6137knnBMIcontextual
00.314356f1_macro_calibrated8137knnSourcerelevant
50.286458f1_macro_calibrated2137knnInstitutetechnical
110.275583spearman_r8137knnAgecontextual
30.260062spearman_r14102knnHospitalstayrelevant
140.259044f1_macro_calibrated299knnPreExistingHeartDiseasecontextual
120.113460f1_macro_calibrated2137knnSexcontextual
60.078434f1_macro_calibrated10137knnPool_IDtechnical
180.031751f1_macro_calibrated3137knnSmokingcontextual
160.003726f1_macro_calibrated2112knnPreExistingDiabetescontextual
170.000000f1_macro_calibrated2112knnPreExistingHypertensioncontextual
190.000000f1_macro_calibrated2115knnRequiredvasoactivecontextual
\n",
-       "
"
+      "source": [
+        "metadata = adata.obs[samples_metadata_cols + [sample_id_col]].drop_duplicates()\n",
+        "metadata.set_index(sample_id_col, inplace=True)\n",
+        "metadata"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "09378bd4",
+      "metadata": {},
+      "source": [
+        "Let's further add quality control information to evaluate how much representations are affected by number of genes, mRNA counts and percentage of mitochondrial genes. We'll aggregate this cell-level QC metric using a median for every sample:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 7,
+      "id": "86fa8e37",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 538
+        },
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:39:23.720919Z",
+          "iopub.status.busy": "2025-10-23T09:39:23.720768Z",
+          "iopub.status.idle": "2025-10-23T09:39:23.876947Z",
+          "shell.execute_reply": "2025-10-23T09:39:23.876523Z"
+        },
+        "id": "86fa8e37",
+        "outputId": "c69d904c-ba44-48a3-bcde-e53b65d1c50c"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "/Users/eljas.roellin/Documents/patpy_workspace/patpy/src/patpy/pp/basic.py:189: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+            "  metadata = adata.obs[[sample_key, *cell_qc_vars]].groupby(by=sample_key)\n",
+            "/Users/eljas.roellin/Documents/patpy_workspace/patpy/src/patpy/pp/basic.py:191: FutureWarning: The provided callable  is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"median\" instead.\n",
+            "  cells_qc_aggregated = metadata.aggregate(agg_function)\n"
+          ]
+        },
+        {
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
median_n_genes_by_countsmedian_total_countsmedian_pct_counts_mt
scRNASeq_sample_ID
G05061-Ja005E-PBCa1107.03125.53.011159
G05064-Ja005E-PBCa975.02933.01.332430
G05073-Ja005E-PBCa1141.03554.02.422559
G05077-Ja005E-PBCa1125.03268.02.946723
G05078-Ja005E-PBCa999.03106.02.825308
............
U00607-Ua005E-PBUa1827.05749.02.982509
U00613-Ua005E-PBUa1251.53325.02.053083
U00617-Ua005E-PBUa1410.54524.03.886215
U00619-Ua005E-PBUa1532.04105.02.688350
U00701-Ua005E-PBUa1093.53074.53.714650
\n",
+              "
138 rows × 3 columns
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                    median_n_genes_by_counts  median_total_counts  \\\n",
+              "scRNASeq_sample_ID                                                  \n",
+              "G05061-Ja005E-PBCa                    1107.0               3125.5   \n",
+              "G05064-Ja005E-PBCa                     975.0               2933.0   \n",
+              "G05073-Ja005E-PBCa                    1141.0               3554.0   \n",
+              "G05077-Ja005E-PBCa                    1125.0               3268.0   \n",
+              "G05078-Ja005E-PBCa                     999.0               3106.0   \n",
+              "...                                      ...                  ...   \n",
+              "U00607-Ua005E-PBUa                    1827.0               5749.0   \n",
+              "U00613-Ua005E-PBUa                    1251.5               3325.0   \n",
+              "U00617-Ua005E-PBUa                    1410.5               4524.0   \n",
+              "U00619-Ua005E-PBUa                    1532.0               4105.0   \n",
+              "U00701-Ua005E-PBUa                    1093.5               3074.5   \n",
+              "\n",
+              "                    median_pct_counts_mt  \n",
+              "scRNASeq_sample_ID                        \n",
+              "G05061-Ja005E-PBCa              3.011159  \n",
+              "G05064-Ja005E-PBCa              1.332430  \n",
+              "G05073-Ja005E-PBCa              2.422559  \n",
+              "G05077-Ja005E-PBCa              2.946723  \n",
+              "G05078-Ja005E-PBCa              2.825308  \n",
+              "...                                  ...  \n",
+              "U00607-Ua005E-PBUa              2.982509  \n",
+              "U00613-Ua005E-PBUa              2.053083  \n",
+              "U00617-Ua005E-PBUa              3.886215  \n",
+              "U00619-Ua005E-PBUa              2.688350  \n",
+              "U00701-Ua005E-PBUa              3.714650  \n",
+              "\n",
+              "[138 rows x 3 columns]"
+            ]
+          },
+          "execution_count": 7,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
       ],
-      "text/plain": [
-       "       score               metric  n_unique  n_observations method  \\\n",
-       "9   0.745459           spearman_r       137             137    knn   \n",
-       "7   0.631919           spearman_r       118             137    knn   \n",
-       "1   0.626460           spearman_r         6             112    knn   \n",
-       "20  0.599415  f1_macro_calibrated         2             137    knn   \n",
-       "8   0.585656           spearman_r       131             137    knn   \n",
-       "15  0.549561  f1_macro_calibrated         2              99    knn   \n",
-       "4   0.423161           spearman_r        26             127    knn   \n",
-       "2   0.421534  f1_macro_calibrated         2             137    knn   \n",
-       "10  0.395705           spearman_r       137             137    knn   \n",
-       "13  0.317015           spearman_r         6             137    knn   \n",
-       "0   0.314356  f1_macro_calibrated         8             137    knn   \n",
-       "5   0.286458  f1_macro_calibrated         2             137    knn   \n",
-       "11  0.275583           spearman_r         8             137    knn   \n",
-       "3   0.260062           spearman_r        14             102    knn   \n",
-       "14  0.259044  f1_macro_calibrated         2              99    knn   \n",
-       "12  0.113460  f1_macro_calibrated         2             137    knn   \n",
-       "6   0.078434  f1_macro_calibrated        10             137    knn   \n",
-       "18  0.031751  f1_macro_calibrated         3             137    knn   \n",
-       "16  0.003726  f1_macro_calibrated         2             112    knn   \n",
-       "17  0.000000  f1_macro_calibrated         2             112    knn   \n",
-       "19  0.000000  f1_macro_calibrated         2             115    knn   \n",
-       "\n",
-       "                   covariate covariate_type  \n",
-       "9       median_pct_counts_mt      technical  \n",
-       "7   median_n_genes_by_counts      technical  \n",
-       "1                    Outcome       relevant  \n",
-       "20               SARSCoV2PCR     contextual  \n",
-       "8        median_total_counts      technical  \n",
-       "15    PreExistingLungDisease     contextual  \n",
-       "4             TimeSinceOnset       relevant  \n",
-       "2                    Death28       relevant  \n",
-       "10                   n_cells      technical  \n",
-       "13                       BMI     contextual  \n",
-       "0                     Source       relevant  \n",
-       "5                  Institute      technical  \n",
-       "11                       Age     contextual  \n",
-       "3               Hospitalstay       relevant  \n",
-       "14   PreExistingHeartDisease     contextual  \n",
-       "12                       Sex     contextual  \n",
-       "6                    Pool_ID      technical  \n",
-       "18                   Smoking     contextual  \n",
-       "16       PreExistingDiabetes     contextual  \n",
-       "17   PreExistingHypertension     contextual  \n",
-       "19        Requiredvasoactive     contextual  "
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "knn_results = pd.DataFrame(results)\n",
-    "knn_results.sort_values(by=\"score\", ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "29fca0ce",
-   "metadata": {
-    "id": "29fca0ce"
-   },
-   "source": [
-    "### 4.2 Visualise the results"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3ed626a7",
-   "metadata": {},
-   "source": [
-    "Let's build a plot based on the table above for a nice visual comparision:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "b60cb1b0",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 701
-    },
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:42:17.226504Z",
-     "iopub.status.busy": "2025-10-23T09:42:17.226369Z",
-     "iopub.status.idle": "2025-10-23T09:42:17.918308Z",
-     "shell.execute_reply": "2025-10-23T09:42:17.917830Z"
-    },
-    "id": "b60cb1b0",
-    "outputId": "87e3712c-b1fd-4750-ccc1-cfb00fe8abdb"
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10, 8), dpi=300)\n",
-    "plt.rcParams.update({\n",
-    "    'font.size': 14,\n",
-    "    'xtick.labelsize': 10,\n",
-    "    'ytick.labelsize': 10\n",
-    "})\n",
-    "\n",
-    "sns.barplot(\n",
-    "    data=knn_results,\n",
-    "    y=\"covariate\",\n",
-    "    x=\"score\",\n",
-    "    hue=\"covariate_type\",\n",
-    "    dodge=False,\n",
-    "    palette=\"colorblind\",\n",
-    "    order=knn_results.sort_values('score', ascending = False).covariate\n",
-    ")\n",
-    "\n",
-    "plt.xlabel(\"KNN prediction score\")\n",
-    "plt.ylabel(\"Covariate\")\n",
-    "\n",
-    "plt.legend(title=\"Covariate Type\")\n",
-    "plt.title(\"Sources of variation in the COMBAT dataset\", fontweight='bold')\n",
-    "\n",
-    "sns.despine()\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "01111a8f",
-   "metadata": {},
-   "source": [
-    "We can see that median percentage of mitochondrial counts and median number of genes can be predicted very well from a representation. This is rather bad news, as these covariates are technical. On the bright side, the next best-predicted covariate is the \"Outcome\", indicating that disease outcome effects the transcriptomics in blood! Let's visualise these covariates on the representation:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "c1d15ee3",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:42:17.919821Z",
-     "iopub.status.busy": "2025-10-23T09:42:17.919674Z",
-     "iopub.status.idle": "2025-10-23T09:42:18.218404Z",
-     "shell.execute_reply": "2025-10-23T09:42:18.217926Z"
-    }
-   },
-   "outputs": [
+      "source": [
+        "cell_qc_metadata = patpy.pp.calculate_cell_qc_metrics(\n",
+        "    adata, sample_key=sample_id_col, cell_qc_vars=[\"QC_ngenes\", \"QC_total_UMI\", \"QC_pct_mitochondrial\"]\n",
+        ")\n",
+        "cell_qc_metadata.columns = [\"median_n_genes_by_counts\", \"median_total_counts\", \"median_pct_counts_mt\"]\n",
+        "cell_qc_metadata"
+      ]
+    },
     {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
+      "cell_type": "code",
+      "execution_count": 8,
+      "id": "a53f085c",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 450
+        },
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:39:23.878299Z",
+          "iopub.status.busy": "2025-10-23T09:39:23.878154Z",
+          "iopub.status.idle": "2025-10-23T09:39:23.896888Z",
+          "shell.execute_reply": "2025-10-23T09:39:23.896536Z"
+        },
+        "id": "a53f085c",
+        "outputId": "235fb99b-fb16-4f5b-a43e-7ae34956cb12"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
n_cells
scRNASeq_sample_ID
S00052-Ja005E-PBCa13918
H00054-Ha001E-PBGa10938
H00067-Ha001E-PBGa10781
N00023-Ja001E-PBGa10484
H00053-Ha001E-PBGa10458
......
U00607-Ua005E-PBUa1021
U00613-Ua005E-PBUa970
U00701-Ua005E-PBUa872
U00601-Ua005E-PBUa619
U00504-Ua005E-PBUa161
\n",
+              "
138 rows × 1 columns
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                    n_cells\n",
+              "scRNASeq_sample_ID         \n",
+              "S00052-Ja005E-PBCa    13918\n",
+              "H00054-Ha001E-PBGa    10938\n",
+              "H00067-Ha001E-PBGa    10781\n",
+              "N00023-Ja001E-PBGa    10484\n",
+              "H00053-Ha001E-PBGa    10458\n",
+              "...                     ...\n",
+              "U00607-Ua005E-PBUa     1021\n",
+              "U00613-Ua005E-PBUa      970\n",
+              "U00701-Ua005E-PBUa      872\n",
+              "U00601-Ua005E-PBUa      619\n",
+              "U00504-Ua005E-PBUa      161\n",
+              "\n",
+              "[138 rows x 1 columns]"
+            ]
+          },
+          "execution_count": 8,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "n_genes_metadata = patpy.pp.calculate_n_cells_per_sample(adata, sample_id_col)\n",
+        "n_genes_metadata"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "5844eb87",
+      "metadata": {
+        "id": "5844eb87"
+      },
+      "source": [
+        "Combine all the tables into one:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 9,
+      "id": "a4c9386f",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:39:23.898191Z",
+          "iopub.status.busy": "2025-10-23T09:39:23.898052Z",
+          "iopub.status.idle": "2025-10-23T09:39:23.903165Z",
+          "shell.execute_reply": "2025-10-23T09:39:23.902855Z"
+        },
+        "id": "a4c9386f",
+        "outputId": "c982d5d8-8b2e-4556-bae7-9b38b8706e52"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "(138, 21)"
+            ]
+          },
+          "execution_count": 9,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "metadata = pd.concat(\n",
+        "    [\n",
+        "        metadata,\n",
+        "        cell_qc_metadata.loc[metadata.index],\n",
+        "        n_genes_metadata.loc[metadata.index],\n",
+        "    ],\n",
+        "    axis=1,\n",
+        ")\n",
+        "\n",
+        "metadata.shape"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "f1cc0d0f",
+      "metadata": {},
+      "source": [
+        "Merge aggregated QC to cell metadata:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 10,
+      "id": "42a271eb",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:39:23.904372Z",
+          "iopub.status.busy": "2025-10-23T09:39:23.904248Z",
+          "iopub.status.idle": "2025-10-23T09:39:24.211279Z",
+          "shell.execute_reply": "2025-10-23T09:39:24.210724Z"
+        }
+      },
+      "outputs": [],
+      "source": [
+        "adata.obs = adata.obs.merge(metadata.drop(columns=samples_metadata_cols), left_on=sample_id_col, right_index=True)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "b84ae0b5",
+      "metadata": {
+        "id": "b84ae0b5"
+      },
+      "source": [
+        "### 2.4 Quality control\n",
+        "\n",
+        "To reduce noise in the representations, we need to remove samples with too few cells:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 11,
+      "id": "69bc7bc9",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:39:24.213088Z",
+          "iopub.status.busy": "2025-10-23T09:39:24.212905Z",
+          "iopub.status.idle": "2025-10-23T09:39:28.257598Z",
+          "shell.execute_reply": "2025-10-23T09:39:28.257214Z"
+        },
+        "id": "69bc7bc9",
+        "outputId": "44ba1122-06fe-4467-cb88-279ddd5d69fd"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "1 samples removed: U00504-Ua005E-PBUa\n"
+          ]
+        }
+      ],
+      "source": [
+        "adata = patpy.pp.filter_small_samples(adata, sample_key=sample_id_col, sample_size_threshold=500)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "f4bbeea9",
+      "metadata": {
+        "id": "f4bbeea9"
+      },
+      "source": [
+        "## 3. Running GloScope in Python\n",
+        "\n",
+        "The nearest neighbor computation for the distance matrix calculation can either be done using a CPU or a GPU. By setting the parameter `use_gpu=True` the matrix will be calculated using either [cuML](https://docs.rapids.ai/api/cuml/stable/) or [PyNNDescent](https://pynndescent.readthedocs.io/en/stable/index.html)."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "1ad36fb1",
+      "metadata": {
+        "id": "1ad36fb1"
+      },
+      "source": [
+        "### 4.1 Run the GloScope with GPU acceleration"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "c304568f",
+      "metadata": {},
+      "source": [
+        "Using patpy, we can run sample representation methods with a simple interface:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "f19bc430",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:39:28.259303Z",
+          "iopub.status.busy": "2025-10-23T09:39:28.259137Z",
+          "iopub.status.idle": "2025-10-23T09:39:28.264096Z",
+          "shell.execute_reply": "2025-10-23T09:39:28.263711Z"
+        },
+        "id": "f19bc430"
+      },
+      "outputs": [],
+      "source": [
+        "gloscope_py = patpy.tl.GloScope_py(sample_key=sample_id_col, layer=layer, k=25, use_gpu=True)\n",
+        "gloscope_py.prepare_anndata(adata)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "18b35ae1",
+      "metadata": {
+        "id": "18b35ae1"
+      },
+      "source": [
+        "### 4.2 Calculate the distance matrix between samples\n",
+        "\n",
+        "GloScope does not create a vector representation of samples, but instead gives a pairwise KL-divergence matrix. The smaller the values, the more similar samples are. GloScope does not produce \"distances\" in mathematical sense, but we can treat the divergencies like it. Even with that caveat, it captures more information than other sample representation methods."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "81898119",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:39:28.265523Z",
+          "iopub.status.busy": "2025-10-23T09:39:28.265380Z",
+          "iopub.status.idle": "2025-10-23T09:41:42.929817Z",
+          "shell.execute_reply": "2025-10-23T09:41:42.929299Z"
+        },
+        "id": "81898119",
+        "outputId": "7caa3fae-6e9b-4604-f01f-0600842fb0d0"
+      },
+      "outputs": [],
+      "source": [
+        "%%time\n",
+        "distances_py = gloscope_py.calculate_distance_matrix(force=True)\n",
+        "distances_py"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "e9b9fc26",
+      "metadata": {
+        "id": "e9b9fc26"
+      },
+      "source": [
+        "Our implementation only takes about two minutes for the whole COMBAT data set when using GPU! Perfect time for you to go for another cup of coffee, but not long enough to make you feel bored."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "016fe326",
+      "metadata": {
+        "id": "016fe326"
+      },
+      "source": [
+        "### 4.3 Visualise the sample representation using UMAP\n",
+        "\n",
+        "But does GloScope capture information about samples? Let's build a UMAP plot to get an idea. On this plot, similar patients are localised together:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "287607cc",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 383
+        },
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:41:42.931527Z",
+          "iopub.status.busy": "2025-10-23T09:41:42.931109Z",
+          "iopub.status.idle": "2025-10-23T09:42:17.095748Z",
+          "shell.execute_reply": "2025-10-23T09:42:17.095204Z"
+        },
+        "id": "287607cc",
+        "outputId": "3529ef2c-d706-40fd-8fcf-2fb3740146bc"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+            "  from .autonotebook import tqdm as notebook_tqdm\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
+            "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
+            "  warn(\n"
+          ]
+        },
+        {
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "gloscope_py.plot_embedding(method=\"UMAP\", metadata_cols=cols_to_plot);"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "b08af079",
+      "metadata": {},
+      "source": [
+        "We can see that patients with similar \"Source\" and \"Outcome\" are grouped together. The latter reflects the severity of the disease: from 1, which means death, to 6, which encodes healthy donors. \"Death28\" column encodes whether patients died in the period of 28 days. The last 2 columns represent locations where samples were processed and the batches. The visualisation suggests that the batches mix with each other and explain the embedding much worse than the Outcome. We will further validate this finding numerically."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "ca9aea05",
+      "metadata": {
+        "id": "ca9aea05"
+      },
+      "source": [
+        "## 4. Evaluating sources of variation in the data\n",
+        "\n",
+        "While somebody is already writing a wrathful twitter thread on our interpretation of UMAPs, let's compute some metrics to understand what explains sample-level variation in the data. We need to classify our sample-level covariates (columns in the metadata) to clinically relevant, technical and contextual. The former 2 categories can be used to judge whether sample representation method is working well for our analysis goals. The \"contextual\" category contains columns, which we don't aim to analyse, but may want to know whether they impact the representation.\n",
+        "\n",
+        "Furthermore, we need to define prediction tasks for every metadata columns. They must be one of:\n",
+        "- \"classification\" – for discrete labels such as disease status\n",
+        "- \"regression\" – for continuous covariates such as number of hospital stay days\n",
+        "- \"ranking\" – for ranked variables. For example, \"Outcome\" in our dataset is encoded as numbers from 1 to 6. In this case, if a sample has label \"6\" (healthy), predicting \"5\" (hospitalised, no extra oxigen) is better than \"3\" (non-invasive ventilation).\n",
+        "\n",
+        "We will predict each covariate based on the nearest neighbors (the most similar samples) in the representation. Setting the task will define metrics used to evaluate quality of the prediction. For classification, it is F1-macro score (corrected for random prediction), and for other tasks Spearman correlation is used."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "cfdf0683",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:42:17.097243Z",
+          "iopub.status.busy": "2025-10-23T09:42:17.097088Z",
+          "iopub.status.idle": "2025-10-23T09:42:17.099825Z",
+          "shell.execute_reply": "2025-10-23T09:42:17.099485Z"
+        },
+        "id": "cfdf0683"
+      },
+      "outputs": [],
+      "source": [
+        "benchmark_schema = {\n",
+        "    \"relevant\": {\n",
+        "        \"Source\": \"classification\",\n",
+        "        \"Outcome\": \"ranking\",\n",
+        "        \"Death28\": \"classification\",\n",
+        "        \"Hospitalstay\": \"regression\",\n",
+        "        \"TimeSinceOnset\": \"regression\"\n",
+        "    },\n",
+        "    \"technical\": {\n",
+        "        \"Institute\": \"classification\",\n",
+        "        \"Pool_ID\": \"classification\",\n",
+        "        \"median_n_genes_by_counts\": \"regression\",\n",
+        "        \"median_total_counts\": \"regression\",\n",
+        "        \"median_pct_counts_mt\": \"regression\",\n",
+        "        \"n_cells\": \"regression\"\n",
+        "    },\n",
+        "    \"contextual\": {\n",
+        "        \"Age\": \"regression\",\n",
+        "        \"Sex\": \"classification\",\n",
+        "        \"BMI\": \"regression\",\n",
+        "        \"PreExistingHeartDisease\": \"classification\",\n",
+        "        \"PreExistingLungDisease\": \"classification\",\n",
+        "        \"PreExistingDiabetes\": \"classification\",\n",
+        "        \"PreExistingHypertension\": \"classification\",\n",
+        "        \"Smoking\": \"classification\",\n",
+        "        \"Requiredvasoactive\": \"classification\",\n",
+        "        \"SARSCoV2PCR\": \"classification\"\n",
+        "    }\n",
+        "}"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "b491b749",
+      "metadata": {
+        "id": "b491b749"
+      },
+      "source": [
+        "### 4.1 Run the covariate prediction"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "dabb38f2",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:42:17.101040Z",
+          "iopub.status.busy": "2025-10-23T09:42:17.100908Z",
+          "iopub.status.idle": "2025-10-23T09:42:17.104164Z",
+          "shell.execute_reply": "2025-10-23T09:42:17.103853Z"
+        },
+        "id": "dabb38f2"
+      },
+      "outputs": [],
+      "source": [
+        "metadata = metadata.loc[gloscope_py.samples]  # Ensure the order matches the distance matrix"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "461b8f9f",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:42:17.105288Z",
+          "iopub.status.busy": "2025-10-23T09:42:17.105164Z",
+          "iopub.status.idle": "2025-10-23T09:42:17.216915Z",
+          "shell.execute_reply": "2025-10-23T09:42:17.216546Z"
+        },
+        "id": "461b8f9f"
+      },
+      "outputs": [],
+      "source": [
+        "results = []\n",
+        "\n",
+        "for type_name, type_data in benchmark_schema.items():\n",
+        "    for target, task in type_data.items():\n",
+        "        result = patpy.tl.evaluate_representation(\n",
+        "            distances=distances_py,\n",
+        "            target=metadata[target],\n",
+        "            method=\"knn\",\n",
+        "            task=task,\n",
+        "            n_neighbors=5\n",
+        "        )\n",
+        "\n",
+        "        result[\"covariate\"] = target\n",
+        "        result[\"covariate_type\"] = type_name\n",
+        "\n",
+        "        if result[\"metric\"] == \"spearman_r\":\n",
+        "            result[\"score\"] = abs(result[\"score\"])\n",
+        "\n",
+        "        results.append(result)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "ca91ee02",
+      "metadata": {},
+      "source": [
+        "We can order covariates based on how well they can be predicted from a representation. It gives us an insight on what explains variability in the data:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "74b3b970",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 720
+        },
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:42:17.218540Z",
+          "iopub.status.busy": "2025-10-23T09:42:17.218387Z",
+          "iopub.status.idle": "2025-10-23T09:42:17.225124Z",
+          "shell.execute_reply": "2025-10-23T09:42:17.224760Z"
+        },
+        "id": "74b3b970",
+        "outputId": "ad3e48c0-00da-4ea3-9aef-e1f5cfc3af7d"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
scoremetricn_uniquen_observationsmethodcovariatecovariate_type
90.745459spearman_r137137knnmedian_pct_counts_mttechnical
70.631919spearman_r118137knnmedian_n_genes_by_countstechnical
10.626460spearman_r6112knnOutcomerelevant
200.599415f1_macro_calibrated2137knnSARSCoV2PCRcontextual
80.585656spearman_r131137knnmedian_total_countstechnical
150.549561f1_macro_calibrated299knnPreExistingLungDiseasecontextual
40.423161spearman_r26127knnTimeSinceOnsetrelevant
20.421534f1_macro_calibrated2137knnDeath28relevant
100.395705spearman_r137137knnn_cellstechnical
130.317015spearman_r6137knnBMIcontextual
00.314356f1_macro_calibrated8137knnSourcerelevant
50.286458f1_macro_calibrated2137knnInstitutetechnical
110.275583spearman_r8137knnAgecontextual
30.260062spearman_r14102knnHospitalstayrelevant
140.259044f1_macro_calibrated299knnPreExistingHeartDiseasecontextual
120.113460f1_macro_calibrated2137knnSexcontextual
60.078434f1_macro_calibrated10137knnPool_IDtechnical
180.031751f1_macro_calibrated3137knnSmokingcontextual
160.003726f1_macro_calibrated2112knnPreExistingDiabetescontextual
170.000000f1_macro_calibrated2112knnPreExistingHypertensioncontextual
190.000000f1_macro_calibrated2115knnRequiredvasoactivecontextual
\n",
+              "
"
+            ],
+            "text/plain": [
+              "       score               metric  n_unique  n_observations method  \\\n",
+              "9   0.745459           spearman_r       137             137    knn   \n",
+              "7   0.631919           spearman_r       118             137    knn   \n",
+              "1   0.626460           spearman_r         6             112    knn   \n",
+              "20  0.599415  f1_macro_calibrated         2             137    knn   \n",
+              "8   0.585656           spearman_r       131             137    knn   \n",
+              "15  0.549561  f1_macro_calibrated         2              99    knn   \n",
+              "4   0.423161           spearman_r        26             127    knn   \n",
+              "2   0.421534  f1_macro_calibrated         2             137    knn   \n",
+              "10  0.395705           spearman_r       137             137    knn   \n",
+              "13  0.317015           spearman_r         6             137    knn   \n",
+              "0   0.314356  f1_macro_calibrated         8             137    knn   \n",
+              "5   0.286458  f1_macro_calibrated         2             137    knn   \n",
+              "11  0.275583           spearman_r         8             137    knn   \n",
+              "3   0.260062           spearman_r        14             102    knn   \n",
+              "14  0.259044  f1_macro_calibrated         2              99    knn   \n",
+              "12  0.113460  f1_macro_calibrated         2             137    knn   \n",
+              "6   0.078434  f1_macro_calibrated        10             137    knn   \n",
+              "18  0.031751  f1_macro_calibrated         3             137    knn   \n",
+              "16  0.003726  f1_macro_calibrated         2             112    knn   \n",
+              "17  0.000000  f1_macro_calibrated         2             112    knn   \n",
+              "19  0.000000  f1_macro_calibrated         2             115    knn   \n",
+              "\n",
+              "                   covariate covariate_type  \n",
+              "9       median_pct_counts_mt      technical  \n",
+              "7   median_n_genes_by_counts      technical  \n",
+              "1                    Outcome       relevant  \n",
+              "20               SARSCoV2PCR     contextual  \n",
+              "8        median_total_counts      technical  \n",
+              "15    PreExistingLungDisease     contextual  \n",
+              "4             TimeSinceOnset       relevant  \n",
+              "2                    Death28       relevant  \n",
+              "10                   n_cells      technical  \n",
+              "13                       BMI     contextual  \n",
+              "0                     Source       relevant  \n",
+              "5                  Institute      technical  \n",
+              "11                       Age     contextual  \n",
+              "3               Hospitalstay       relevant  \n",
+              "14   PreExistingHeartDisease     contextual  \n",
+              "12                       Sex     contextual  \n",
+              "6                    Pool_ID      technical  \n",
+              "18                   Smoking     contextual  \n",
+              "16       PreExistingDiabetes     contextual  \n",
+              "17   PreExistingHypertension     contextual  \n",
+              "19        Requiredvasoactive     contextual  "
+            ]
+          },
+          "execution_count": null,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "knn_results = pd.DataFrame(results)\n",
+        "knn_results.sort_values(by=\"score\", ascending=False)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "29fca0ce",
+      "metadata": {
+        "id": "29fca0ce"
+      },
+      "source": [
+        "### 4.2 Visualise the results"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "3ed626a7",
+      "metadata": {},
+      "source": [
+        "Let's build a plot based on the table above for a nice visual comparision:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "b60cb1b0",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 701
+        },
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:42:17.226504Z",
+          "iopub.status.busy": "2025-10-23T09:42:17.226369Z",
+          "iopub.status.idle": "2025-10-23T09:42:17.918308Z",
+          "shell.execute_reply": "2025-10-23T09:42:17.917830Z"
+        },
+        "id": "b60cb1b0",
+        "outputId": "87e3712c-b1fd-4750-ccc1-cfb00fe8abdb"
+      },
+      "outputs": [
+        {
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "plt.figure(figsize=(10, 8), dpi=300)\n",
+        "plt.rcParams.update({\n",
+        "    'font.size': 14,\n",
+        "    'xtick.labelsize': 10,\n",
+        "    'ytick.labelsize': 10\n",
+        "})\n",
+        "\n",
+        "sns.barplot(\n",
+        "    data=knn_results,\n",
+        "    y=\"covariate\",\n",
+        "    x=\"score\",\n",
+        "    hue=\"covariate_type\",\n",
+        "    dodge=False,\n",
+        "    palette=\"colorblind\",\n",
+        "    order=knn_results.sort_values('score', ascending = False).covariate\n",
+        ")\n",
+        "\n",
+        "plt.xlabel(\"KNN prediction score\")\n",
+        "plt.ylabel(\"Covariate\")\n",
+        "\n",
+        "plt.legend(title=\"Covariate Type\")\n",
+        "plt.title(\"Sources of variation in the COMBAT dataset\", fontweight='bold')\n",
+        "\n",
+        "sns.despine()\n",
+        "plt.tight_layout()\n",
+        "plt.show()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "01111a8f",
+      "metadata": {},
+      "source": [
+        "We can see that median percentage of mitochondrial counts and median number of genes can be predicted very well from a representation. This is rather bad news, as these covariates are technical. On the bright side, the next best-predicted covariate is the \"Outcome\", indicating that disease outcome effects the transcriptomics in blood! Let's visualise these covariates on the representation:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "c1d15ee3",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:42:17.919821Z",
+          "iopub.status.busy": "2025-10-23T09:42:17.919674Z",
+          "iopub.status.idle": "2025-10-23T09:42:18.218404Z",
+          "shell.execute_reply": "2025-10-23T09:42:18.217926Z"
+        }
+      },
+      "outputs": [
+        {
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "well_represented_cols = [\"Outcome\", \"median_pct_counts_mt\", \"median_n_genes_by_counts\"]\n",
+        "\n",
+        "axes = gloscope_py.plot_embedding(method=\"UMAP\", metadata_cols=well_represented_cols)\n",
+        "\n",
+        "for ax, col in zip(axes, well_represented_cols):\n",
+        "    ax.legend(loc=(0, 1.02), title=col)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "5d8d98da",
+      "metadata": {},
+      "source": [
+        "As we previously seen, outcome has a clear grouping on the UMAP. We can also see a notable gradient of median percentage of mitochondrial gene counts and number of genes in a sample.\n",
+        "\n",
+        "Another insight we can learn from this sample representation is **what doesn't affect the data**. For example, pre-existing diabetes and hypertension cannot be predicted well from the data we have. That can mean the following:\n",
+        "- These are **not the main axes of variation in the data**. Perhaps, they do affect the transcriptomics, but this effect is hidden behind stronger sources of variation. If you are interested in analysis of those covariates, a more targeted approach is needed.\n",
+        "- **These covariates do not affect the data at all**. There are limitations of what we can predict from transcriptomics. Perhaps, these information is simply beyond them.\n",
+        "- **Metadata is too sparse**. We don't have too many samples with positive values of these covariates. Larger datasets could uncover them better.\n",
+        "\n",
+        "In any case, sample representation allows us to immediately see what the data hides.\n",
+        "\n",
+        "Note another interesting phenomenon: smoking status can be predicted _worse_ than BMI. Isn't that surprising in the context of respiratory diseases?"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "d39c8909",
+      "metadata": {},
+      "source": [
+        "### 4.3 Run the GloScope using CPU"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "4e159090",
+      "metadata": {},
+      "source": [
+        "If you don't have a GPU, you can still run GloScope in Python way faster than in R! The interface is exactly the same, just set `use_gpu=False` this time:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 23,
+      "id": "09060c78",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:42:18.219830Z",
+          "iopub.status.busy": "2025-10-23T09:42:18.219684Z",
+          "iopub.status.idle": "2025-10-23T09:42:18.224321Z",
+          "shell.execute_reply": "2025-10-23T09:42:18.224010Z"
+        }
+      },
+      "outputs": [],
+      "source": [
+        "gloscope_py_cpu = patpy.tl.GloScope_py(sample_key=sample_id_col, layer=layer, k=25, use_gpu=False)\n",
+        "gloscope_py_cpu.prepare_anndata(adata)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 24,
+      "id": "016ce942",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T09:42:18.225554Z",
+          "iopub.status.busy": "2025-10-23T09:42:18.225426Z",
+          "iopub.status.idle": "2025-10-23T10:04:28.110248Z",
+          "shell.execute_reply": "2025-10-23T10:04:28.109753Z"
+        }
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "CPU times: user 22min 13s, sys: 5.63 s, total: 22min 19s\n",
+            "Wall time: 22min 9s\n"
+          ]
+        },
+        {
+          "data": {
+            "text/plain": [
+              "array([[0.        , 3.01316958, 4.98487267, ..., 3.3902534 , 8.34240482,\n",
+              "        4.79270835],\n",
+              "       [3.01316958, 0.        , 4.62207723, ..., 4.27903188, 7.35136176,\n",
+              "        3.02328651],\n",
+              "       [4.98487267, 4.62207723, 0.        , ..., 5.754768  , 7.31083296,\n",
+              "        3.14633485],\n",
+              "       ...,\n",
+              "       [3.3902534 , 4.27903188, 5.754768  , ..., 0.        , 7.98588573,\n",
+              "        5.30291834],\n",
+              "       [8.34240482, 7.35136176, 7.31083296, ..., 7.98588573, 0.        ,\n",
+              "        4.93305717],\n",
+              "       [4.79270835, 3.02328651, 3.14633485, ..., 5.30291834, 4.93305717,\n",
+              "        0.        ]], shape=(137, 137))"
+            ]
+          },
+          "execution_count": null,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "%%time\n",
+        "distances_py_cpu = gloscope_py_cpu.calculate_distance_matrix(force=True)\n",
+        "distances_py_cpu"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "e4568c00",
+      "metadata": {},
+      "source": [
+        "Well, that took a bit longer than a minute, but still better than 3 hours it takes for the R implementation. You can notice that numbers in the matrix are almost identical to what we had before. Let's take a look at UMAP visualisations:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 25,
+      "id": "0b9d1dd2",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T10:04:28.436656Z",
+          "iopub.status.busy": "2025-10-23T10:04:28.436426Z",
+          "iopub.status.idle": "2025-10-23T10:04:33.791018Z",
+          "shell.execute_reply": "2025-10-23T10:04:33.790502Z"
+        }
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
+            "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
+            "  warn(\n"
+          ]
+        },
+        {
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "axes = gloscope_py_cpu.plot_embedding(method=\"UMAP\", metadata_cols=well_represented_cols)\n",
+        "\n",
+        "for ax, col in zip(axes, well_represented_cols):\n",
+        "    ax.legend(loc=(0, 1.02), title=col)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "202d3bce",
+      "metadata": {},
+      "source": [
+        "We can see that embeddings look very similar to what we had before. Qualitative assessment would give the similar results."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "569db336",
+      "metadata": {},
+      "source": [
+        "## 5. Original GloScope Implementation\n",
+        "\n",
+        "This version is [implemented in R](https://www.bioconductor.org/packages/release/bioc/html/GloScope.html) and can be used via patpy. We **do not recommend this approach** for your workflow and only show it here for comparison. \n",
+        "\n",
+        "If you want to run it, you need to install R dependencies. The easiest way to do it is via conda. You can use the following environment:\n",
+        "\n",
+        "```yaml\n",
+        "name: gloscope\n",
+        "channels:\n",
+        "  - conda-forge\n",
+        "  - bioconda\n",
+        "dependencies:\n",
+        "  - r-base=4.3\n",
+        "  - r-data.table\n",
+        "  - r-reticulate\n",
+        "  - r-anndata\n",
+        "  - bioconductor-gloscope\n",
+        "  - anndata2ri\n",
+        "```\n",
+        "\n",
+        "Or install the required dependencies into an existing environment (don't forget to activate it in prior):\n",
+        "```\n",
+        "conda install -c conda-forge -c bioconda r-base=4.3 r-data.table r-reticulate r-anndata bioconductor-gloscope anndata2ri -y\n",
+        "```"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "b23d77ba",
+      "metadata": {},
+      "source": [
+        "Initialise the sample represenation method. You can set `n_workers` to the number of CPUs on your machine to make the computation faster:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 26,
+      "id": "2527e282",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T10:04:33.792512Z",
+          "iopub.status.busy": "2025-10-23T10:04:33.792363Z",
+          "iopub.status.idle": "2025-10-23T10:05:22.313501Z",
+          "shell.execute_reply": "2025-10-23T10:05:22.312963Z"
+        }
+      },
+      "outputs": [],
+      "source": [
+        "gloscope_r = patpy.tl.GloScope(sample_key=sample_id_col, layer=layer, k=25, n_workers=6)\n",
+        "gloscope_r.prepare_anndata(adata)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 27,
+      "id": "4bee5b89",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T10:05:22.315259Z",
+          "iopub.status.busy": "2025-10-23T10:05:22.315092Z",
+          "iopub.status.idle": "2025-10-23T17:55:27.473748Z",
+          "shell.execute_reply": "2025-10-23T17:55:27.473225Z"
+        }
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/tools/vladimir.shitov/patient_representation/src/patpy/tl/sample_representation.py:453: UserWarning: Using data from key X_scVI_batch of adata.obsm\n",
+            "  warnings.warn(f\"Using data from key {self.layer} of adata.obsm\", stacklevel=1)\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Calculating GloScope distance matrix\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "CPU times: user 32.2 s, sys: 4.59 s, total: 36.8 s\n",
+            "Wall time: 7h 50min 4s\n"
+          ]
+        },
+        {
+          "data": {
+            "text/plain": [
+              "array([[0.        , 2.88381577, 4.86649874, ..., 3.25397249, 8.19277845,\n",
+              "        4.66033323],\n",
+              "       [2.88381577, 0.        , 4.48540625, ..., 4.13700121, 7.18381653,\n",
+              "        2.88759288],\n",
+              "       [4.86649874, 4.48540625, 0.        , ..., 5.62388687, 7.15729136,\n",
+              "        3.00734636],\n",
+              "       ...,\n",
+              "       [3.25397249, 4.13700121, 5.62388687, ..., 0.        , 7.81237691,\n",
+              "        5.16143919],\n",
+              "       [8.19277845, 7.18381653, 7.15729136, ..., 7.81237691, 0.        ,\n",
+              "        4.78215528],\n",
+              "       [4.66033323, 2.88759288, 3.00734636, ..., 5.16143919, 4.78215528,\n",
+              "        0.        ]], shape=(137, 137))"
+            ]
+          },
+          "execution_count": null,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "%%time\n",
+        "distances_r = gloscope_r.calculate_distance_matrix(force=True)\n",
+        "distances_r"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 28,
+      "id": "3b2aaf06",
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2025-10-23T17:55:27.526447Z",
+          "iopub.status.busy": "2025-10-23T17:55:27.526283Z",
+          "iopub.status.idle": "2025-10-23T17:55:33.019107Z",
+          "shell.execute_reply": "2025-10-23T17:55:33.018672Z"
+        }
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
+            "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
+            "  warn(\n"
+          ]
+        },
+        {
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "axes = gloscope_r.plot_embedding(method=\"UMAP\", metadata_cols=well_represented_cols)\n",
+        "\n",
+        "for ax, col in zip(axes, well_represented_cols):\n",
+        "    ax.legend(loc=(0, 1.02), title=col)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "878a2993",
+      "metadata": {},
+      "source": [
+        "The numbers are again very similar to what we had before, and so it the representation. But it took us 8 hours to run!"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "3e140856",
+      "metadata": {},
+      "source": [
+        "# Conclusion\n",
+        "\n",
+        "In this tutorial we saw how to obtain a high quality sample representation from single-cell transcriptomic data with GloScope and patpy. It enables understanding the sources of variation in the data. With GloScope we saw that COVID-19 outcome has a high influence on the data. To learn how sample representation can be further used to derive markers of COVID-19 severity, see our tutorial on [patient trajectory analysis](https://patpy.readthedocs.io/en/latest/notebooks/Patient_trajectories_example.html)."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "ecfe5b4e",
+      "metadata": {},
+      "source": [
+        "# Benchmarking GloScope reimplementation\n",
+        "\n",
+        "Here are some more technical results on the reimplementation of GloScope for interested readers.\n",
+        "\n",
+        "## How much faster is the Python reimplementation of GloScope?\n",
+        "\n",
+        "**Up to 160x faster** with GPU and **up to 7x faster** without it. The bigger your dataset, the faster our implementation is. Here are the results of an experiment with COMBAT dataset subsets of a different size:\n",
+        "\n",
+        "![images/gloscope_eval_speedup.png](images/gloscope_eval_speedup.png)\n",
+        "\n",
+        "## How similar are the results of different GloScope implementations?\n",
+        "\n",
+        "For all practical purposes, **they are identical**. Here is the comparison of KL divergence matrices obtained on a different subsets of the COMBAT dataset by different reimplementations. Mean squared error (MSE) is used to compare numerical results, and Spearman correlation is used to check whether the order of samples is preserved. Both metrics are close to their limits (0 and 1 correspondingly):\n",
+        "\n",
+        "![images/gloscope_eval_matrices.png](images/gloscope_eval_matrices.png)\n",
+        "\n",
+        "The GloScope reimplementation in Python was developed by [Emma Schonner](https://github.com/EmmaSchonner) as a part of her Master thesis at the Technical University of Munich (TUM)"
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "well_represented_cols = [\"Outcome\", \"median_pct_counts_mt\", \"median_n_genes_by_counts\"]\n",
-    "\n",
-    "axes = gloscope_py.plot_embedding(method=\"UMAP\", metadata_cols=well_represented_cols)\n",
-    "\n",
-    "for ax, col in zip(axes, well_represented_cols):\n",
-    "    ax.legend(loc=(0, 1.02), title=col)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5d8d98da",
-   "metadata": {},
-   "source": [
-    "As we previously seen, outcome has a clear grouping on the UMAP. We can also see a notable gradient of median percentage of mitochondrial gene counts and number of genes in a sample.\n",
-    "\n",
-    "Another insight we can learn from this sample representation is **what doesn't affect the data**. For example, pre-existing diabetes and hypertension cannot be predicted well from the data we have. That can mean the following:\n",
-    "- These are **not the main axes of variation in the data**. Perhaps, they do affect the transcriptomics, but this effect is hidden behind stronger sources of variation. If you are interested in analysis of those covariates, a more targeted approach is needed.\n",
-    "- **These covariates do not affect the data at all**. There are limitations of what we can predict from transcriptomics. Perhaps, these information is simply beyond them.\n",
-    "- **Metadata is too sparse**. We don't have too many samples with positive values of these covariates. Larger datasets could uncover them better.\n",
-    "\n",
-    "In any case, sample representation allows us to immediately see what the data hides.\n",
-    "\n",
-    "Note another interesting phenomenon: smoking status can be predicted _worse_ than BMI. Isn't that surprising in the context of respiratory diseases?"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d39c8909",
-   "metadata": {},
-   "source": [
-    "### 4.3 Run the GloScope using CPU"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "4e159090",
-   "metadata": {},
-   "source": [
-    "If you don't have a GPU, you can still run GloScope in Python way faster than in R! The interface is exactly the same, just set `use_gpu=False` this time:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "09060c78",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:42:18.219830Z",
-     "iopub.status.busy": "2025-10-23T09:42:18.219684Z",
-     "iopub.status.idle": "2025-10-23T09:42:18.224321Z",
-     "shell.execute_reply": "2025-10-23T09:42:18.224010Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "gloscope_py_cpu = patpy.tl.GloScope_py(sample_key=sample_id_col, layer=layer, k=25, use_gpu=False)\n",
-    "gloscope_py_cpu.prepare_anndata(adata)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "016ce942",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T09:42:18.225554Z",
-     "iopub.status.busy": "2025-10-23T09:42:18.225426Z",
-     "iopub.status.idle": "2025-10-23T10:04:28.110248Z",
-     "shell.execute_reply": "2025-10-23T10:04:28.109753Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 22min 13s, sys: 5.63 s, total: 22min 19s\n",
-      "Wall time: 22min 9s\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "array([[0.        , 3.01316958, 4.98487267, ..., 3.3902534 , 8.34240482,\n",
-       "        4.79270835],\n",
-       "       [3.01316958, 0.        , 4.62207723, ..., 4.27903188, 7.35136176,\n",
-       "        3.02328651],\n",
-       "       [4.98487267, 4.62207723, 0.        , ..., 5.754768  , 7.31083296,\n",
-       "        3.14633485],\n",
-       "       ...,\n",
-       "       [3.3902534 , 4.27903188, 5.754768  , ..., 0.        , 7.98588573,\n",
-       "        5.30291834],\n",
-       "       [8.34240482, 7.35136176, 7.31083296, ..., 7.98588573, 0.        ,\n",
-       "        4.93305717],\n",
-       "       [4.79270835, 3.02328651, 3.14633485, ..., 5.30291834, 4.93305717,\n",
-       "        0.        ]], shape=(137, 137))"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "%%time\n",
-    "distances_py_cpu = gloscope_py_cpu.calculate_distance_matrix(force=True)\n",
-    "distances_py_cpu"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e4568c00",
-   "metadata": {},
-   "source": [
-    "Well, that took a bit longer than a minute, but still better than 3 hours it takes for the R implementation. You can notice that numbers in the matrix are almost identical to what we had before. Let's take a look at UMAP visualisations:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "0b9d1dd2",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T10:04:28.436656Z",
-     "iopub.status.busy": "2025-10-23T10:04:28.436426Z",
-     "iopub.status.idle": "2025-10-23T10:04:33.791018Z",
-     "shell.execute_reply": "2025-10-23T10:04:33.790502Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
-      "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
-      "  warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAABNIAAAKcCAYAAAAtjZf1AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjYsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvq6yFwwAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3Xl8TFf/B/DPzTaZTPZNEksSJCpIUGuQhRJrpUpa2loqiiqKPkqlRW0t5VH1q5LUUp6nqKJVW2wRiaJqbRVRkao9smey5/z+8MzUmEkyIZNJ+Lxfr7xa55x77rmz3O/c7733XEkIIUBERERERERERETlMjH2AIiIiIiIiIiIiGoDJtKIiIiIiIiIiIj0wEQaERERERERERGRHphIIyIiIiIiIiIi0gMTaURERERERERERHpgIo2IiIiIiIiIiEgPTKQRERERERERERHpwczYAyAiInraFRUVoaSkxNjDIKIKmJqawtzc3NjDIHosjDVEZGjm5uYwNTU19jCMjok0MOjUJPxiEtHTJCsrC6mpqSgoKDD2UIhITzKZDM7OzrC1tTX2UIj0wlhDRNVFkiTY2dnBzc0NkiQZezhG80wn0hh0ah5+MYnoaZGVlYUbN27A2toazs7OMDc3536NqAYTQqCoqAiZmZm4ceMGADCZRjUeYw0RVRchBHJzc3Hv3j3I5XLY29sbe0hG88wm0hh0ah5+MYnoaZKamgpra2vUq1eP8YWolpDL5bCxscHff/+N1NRUJtKoxmOsIaLqJJfLUVBQgLt378LOzu6Z3e88s4k0Bp2aiV9MInoaFBUVoaCgAM7OztyPEdUyqqvjb9y4gaKiIs6ZRjUWYw0RGYOtrS2ysrJQUlICM7NnM6X0TD61UxV0mKipmWxtbVFSUsJ564io1lLtv3gATlQ7qb67/C1CNRljDREZgyp5VlxcbOSRGM8zmUhj0KnZ+MUkoqcFT9YQ1U787lJtws8rEVUn7nOe0USaCj8ANRPfFyIiIiIiIiKqiZ7pRBoREREREREREZG+mEgjIiIiIiIiIiLSAxNpREREpCEuLg6SJGHWrFka5V5eXvDy8jLKmIiI6OnBOEPlCQkJ4XQ/VKMxkUZERERUjrVr10KSJKxdu9bYQzGa4cOHQ5IkXLt2zdhDqZRr165BkiQMHz7c2EMhIiKqNkxGGhYTaXo6dOgQXnnlFdSvXx8ymQyOjo7o3Lkz/v3vfyM/P/+J+6+tP1CJiOjZceDAARw4cMDYwyAioqcU4wwR1QZmxh5ATVdcXIxx48Zh1apVUCgU6NWrFxo3bozMzEzExsZi8uTJ+Oqrr7Bz5040btzY2MMlIiIymEaNGhl7CERE9BRjnCGi2oBXpFVg+vTpWLVqFdq2bYtLly7hu+++w4IFC/Dll1/i0qVL+Oijj3D58mX06tULWVlZxh4uERHVMg/PE3P06FGEhobCxsYGLi4uePvtt5GXlwcA2LNnDzp16gSFQoE6derg/fffR0lJiVZ/P/zwA7p16wYHBwdYWlqiefPm+Oyzz3S2zcvLw7Rp01C/fn112+jo6DLHqmvumps3b2LmzJno0KEDXF1dIZPJ4OXlhbfffht3797V6uPhK7C//PJLNG3aFJaWlvD09MTs2bNRWlpayVfwgVmzZkGSJMTFxSE6OhrNmjWDpaUlGjRogOnTp5d59fi5c+fw+uuvo169epDJZHB3d0fPnj2xY8cO9XhHjBgBABgxYgQkSVL/PY67d+/ivffeQ5MmTWBpaQlHR0d06NABixcv1mr7008/ITQ0FHZ2dpDL5WjZsiWWLl2q9V6WNdcQUPatjar3Mjc3F5MnT0bdunUhk8ng7++PLVu2aLVdt24dAMDb21u9/SEhIeo2p06dwsCBA9GgQQPIZDLUqVMHHTt2xCeffPJYr5Oq/xs3bmDIkCFwdnaGjY0N+vTpg6tXrwIALl26hJdeegmOjo6wsbHBoEGDND5za9euhbe3NwBg3bp1Gu9dXFzcY42LqDZinKn6OLN582a0bt0acrkc7u7umDBhgvp1fBxKpRJTp07Vep3K278nJycjMjJSvd91d3fH8OHDkZKSotVWtU+9d+8e3nzzTbi6ukIul6NDhw5l7g+zs7Mxc+ZMNGvWDHK5HPb29ujZsycSEhK02t66dQsTJ06Ej48P5HI5HB0d0aJFC7z99ttPdIycn5+v8bq0aNECq1ev1mizZs0aSJKERYsW6exj165dkCQJEydOfKwxJCcnY8yYMfD29oZMJoOrqytCQkJ0Tvewbt06dOjQAdbW1rC2tkaHDh3U8fNh5U0ZUdZ7Xpn3UJIkHD58WP3/qr+HfwscOnQIvXr1goeHB2QyGTw8PBASEoKYmJjKvkTPJvEMysvLExcuXBB5eXnltrt8+bIwMTERjo6O4vbt22W2GzJkiAAgPvzwQ3UZABEcHKyzvaenp/D09NT4NwCtv0eXv3r1qhg9erTw8vISFhYWwsXFRQQHB4s1a9ZorWPt2rWiffv2QqFQCIVCIdq3by/Wrl2r1e7QoUMCgJg5c6ZITEwUISEhwtraWjg7O4uxY8cKpVIphBBi9+7dIjAwUFhZWQlXV1cxdepUUVxcrHP7tm/fLrp27Srs7e2FTCYTzZo1E4sWLSqz/aP0fX+IiGqqyuzHVPvhnj17CktLS9G/f38xZcoU0bp1awFAvPbaa2Lz5s1CLpeLV155RUyaNEn4+voKAGLu3LkafU2fPl0AEPXq1RMjR44UkyZNEs8//7wAIAYOHKjRtqSkRLzwwgsCgGjRooWYOnWqGDlypFAoFKJv377q2PCwR+OXEEJ8++23QqFQiBdffFFMmDBBTJkyRXTt2lUAEA0bNhQZGRka7YcNG6Yej7Ozsxg+fLiYMGGCaNCggQAgPvjgA/1f6IfMnDlTABB9+/YV1tbWYuTIkWLq1KmiefPmAoAICwsTpaWlGsts3bpVyGQyYW5uLgYMGCCmT58uRo4cKZo3by769+8vhBBi27Zton///gKA6N+/v5g5c6b6r7IuX74s6tatKwCIzp07i6lTp4px48aJ4OBg4eDgoNF26dKlAoBwdHQUY8aMEVOmTFG/7wMGDNDYlodj+aOSk5MFADFs2DCNck9PT+Hh4SECAwPFc889J9555x3x5ptvCisrKyFJkti7d6+67b///W8REBAgAIiJEyeqt1/1++P06dNCJpMJKysrMXjwYDFt2jQxZswY0aVLF9GwYcNKv05CPPgd5e/vL7y8vESHDh3E5MmT1Z/Lhg0bit9++004ODiIbt26iSlTpoiQkBABQLzwwgvqPk6fPi0mTpwoAIiAgACN9y45Obnc9fO3CNUG+n5OGWeqNs4MHDhQKBQKMWTIEDFp0iTRtGlTAUAMGTLksfotLi4WoaGh6n3V1KlTRWRkpLCxsRH9+vXT+TodO3ZM2NnZCTMzM/HSSy+Jf/3rX2LQoEHCzMxMuLq6ij///FOjvapvHx8f8fzzz4t3331XDBkyRJiamgoLCwtx/vx5jfb3798XzZo1EwBEly5dxKRJk8Sbb74pnJychJmZmdi2bZu6bW5urvD29haSJImwsDDxr3/9S0ycOFH069dPyOXyCve3ugQHB6tjeoMGDcSkSZPEO++8I1xdXQUAMX/+fI3129nZCV9fX519vfTSSwKAOHfuXKXHcfToUWFnZyckSRI9e/YU06ZNE6NHjxbt2rUTLVu21Gj77rvvCgCibt26YsKECWLixImiXr16AoCYNGmSRts1a9YIADqP48uK6ZV5D2fOnKnOMTwc+1Tv208//SQkSRIODg5i+PDhYvr06SIyMlK0adNGhISEVPi6MEYKwURaOT744AMBQEybNq3cdn/88Yf6S6NSmURaRT9QhTDcl7gqA6sQlQuuZeEXk4hqu8dJpAEQ27dvV5cXFhYKf39/IUmScHZ2FidOnFDXZWVlCVdXV+Hk5CSKioqEEELExsYKAKJXr14iNzdX3ba0tFSMGTNGABBbtmxRl6t+xPXs2VPjRMe5c+eEhYWF3gc4d+7cEdnZ2VrbtW7dOp2xQnWA4+3tLW7evKkuv3fvnrC3txc2NjaioKCgwtftUaoDHEtLS/Hbb7+py4uKikT37t0FAPHNN99ojNva2looFApx6tQprf6uX7+u/v/yfvBWRrt27QQAsWrVqnLX9+eff6oPhv766y91eUFBgfrgYv369eryx02kqZKDD7/e+/fvVyceH6Z633QdEE2ePFkAED/88INWXWpqqlaZPlTfiUd/t6g+y/b29mLp0qXq8tLSUtG7d28BQOP9LGv7K8LfIlQbVDaRxjhTNXHGzs5OXLx4UV2uVCqFr6+vkCRJ3Lhxo9L9xsTECADixRdfFCUlJeryP/74Q1haWmq9ToWFhcLLy0vY2NiIM2fOaPR15MgRYWpqKvr27atRrnr/3377bY11qNY9evRojfaqC0VWr16tUX779m1Rv3594eLiov7c/fjjjzr310I8+Bw9zmutinV+fn4iKytLXX7r1i3h7u4uzMzMNJKF48aNEwDE4cOHNfq5c+eOMDc3F+3bt6/0GPLz80X9+vWFiYmJ2L17t1b9w3E7Pj5eABBNmzbVSOxmZGSI5557TgAQR44cUZc/biKtMu+h6jXUZcCAAQKAOHv2rFadPnGbMZKJtHLbqc5u7tu3r8I+PTw8BAD1D97KJNKEKP8HqiG/xFUVWIWofHAtC7+YRFTbPU4iTdcZwI8//lgAECNGjNCqe/PNNzXixosvvqgRhx6WkZEhJEkSL7/8srpMdfb7119/1Wo/cuRIvQ9wylJaWipsbW21tksV7x79cf5w3eOcNVYd4IwaNUqr7pdffhEARLdu3dRlCxcuFADERx99VGHfVZFIO3HihAAggoKCKmyret8//fRTrbqff/5Za1ueJJF29epVrWU8PT2Fo6OjRpk+ibTY2NgKt01fAIS1tbXIycnRKFf9zmnUqJHWFYbffPON1vvERBo9zSqbSGOcqZo4oytuqOp+/PHHSverOubUldQYPXq01uu0detWAUDMmTNHZ38DBgwQJiYmIjMzU10GQCgUCq2EZFFRkTAzMxOtW7dWl927d0+YmppqxJmHLVu2TAAQO3bsEEL8k0h73Cv9dFElgf7zn/9o1S1atEhr+8+dOycAiDfeeEOjrSrWx8TEVHoMmzdvFgDE0KFDK2yr+q5s2rRJq+7bb78VAMTIkSPVZY+bSNP3PRRCv0Ta5cuXK9w2XRgjheDDBspx+/ZtAED9+vUrbFu/fn3cvHkTt27d0qt9Zfz444+4fv06hg4dip49e2rV16tXT/3/qvusZ82aBTs7O3W5nZ0dZs6cicGDB2Pt2rXo3LmzRh8hISHo37+/+t/m5uYYOHAgzp07h379+qFt27bqOhsbG/Tt2xerV6/G33//rZ7HYPny5QCAlStXwsrKSt1ekiR88sknWLlyJb799lu8/PLLj/9iEBE9pVq1aqVV5u7uDgBo2bJlmXU3btyAl5cXjh07BoVCga+//lpn/3K5HBcvXlT/++zZs7CyskLr1q212nbp0qXMfnTZunUrVq5ciVOnTiE9PV1jnpybN2/qXEbXelXxLCMjQ+91P6pLly5aZW3atIFcLseZM2fUZSdOnAAA9OjR47HXVRmVWd/p06cBQGMOMpUOHTpobcvjsre3V88h9rB69erh559/1rufgQMHYunSpQgPD0dERAS6d++Ozp07o0GDBk80Ph8fHygUCo0y1efe399fa566h78TRKSNcaZq4kxV93v27FkoFAr4+/tr1QUGBmLlypUaZceOHQMAXLx4Uefcabdv30ZpaSkuX76MNm3aqMt9fHxgbW2t0dbMzAx16tTRGPcvv/yCkpIS5Ofn6+w/KSlJvf6+ffsiKCgIbm5uWLBgAc6cOYM+ffqgc+fOaNGixWPPJ6qiK6aryh6Ogy1atEDHjh2xZcsWfPHFF+rj4NWrV8Pa2hqvvPJKpdddVXFbVVYVcVvf97AiERER2Lp1K9q3b4/Bgweja9eu6NKlC1xdXZ94jM8KJtKqiBACAJ54Z6FLdXyJnzSwAqh0cCUion/Y2tpqlZmZmVVYV1RUBABIS0tDcXExZs+eXeY6cnNz1f+fmZlZ5omfOnXq6D3uxYsX47333oOLiwt69OiBevXqQS6XAwCWLl2KgoICncs9fLJHRbVNuias1ldZPwJdXV01EiyqH5x169Z97HVVRmXWp5qYuaz34dFteVy63gPgwftQmcm4O3bsiIMHD2LBggX49ttv1Sf1nn/+eSxatAihoaGPNb4n/U4QkSbGmaqJM1Xdb1ZWVqVep7S0NADAf/7zn3L7ffi9AMrf5z88blX/iYmJSExMrLB/Ozs7/Pzzz5g5cyZ27NiBXbt2AXiQXJw+fTrefvvtcsdZHl0xXfWaZGZmapS/9dZbGDFiBP7zn//g7bffRkJCAi5evIhRo0ZpJZ/0Udm4bWJiAhcXF53jNTEx0Rrv49D3PazIK6+8AnNzcyxduhQrV67El19+qX6YwZIlS3Qe/5MmJtLK4ebmhosXL+L69eto0qRJuW3//vtv9TJVrTq+xFXxY7WywZWIiKqOra0tJElCamqqXu3t7Ox0Pu0MAO7cuaNXH8XFxZgzZw48PDxw5swZjdgjhMDChQv16qcqlbVNd+/e1fgBam9vD0DzhJAhPby+iqji7p07d+Dp6alVf/fuXY3YbGLy4CHsxcXFWm2r4oe7PoKDgxEcHIy8vDwcP34cO3bswJdffok+ffrg/PnzaNSoUbWMg4gMh3HGMGxtbXHv3j2ddbpeJ9X+f8eOHejbt69BxgMAU6ZMwWeffabXMqqnO5eUlOD8+fOIjY3FsmXLMG7cODg4OGDw4MGPNZa7d+9qJRlVr8mjSaVXXnkFkyZNQkxMDN5++2310ydHjRr1WOuubNwuLS3FvXv3tJJ/d+/eRWlpaY2L2wMGDMCAAQOQlZWFo0ePYuvWrfj6668RFhaGS5cuqbefdDMx9gBqssDAQADAgQMHym138eJF3Lx5E3Xr1lV/0SVJ0vnFACr/5XjcL/GjdH2Jq5KtrS2cnJwgHsy9p/MvOTnZIOsmInrWtW/fHvfv31ffclGRgIAAKJVKnDp1SqvuyJEjevWRmpqKzMxMdOjQQesEzsmTJ5GXl6dXP1VJ19hVY3n4DGu7du0AALGxsRX2aWpqCuDJrmCozPpUV4k/+jh74MFV6o9ui4ODAwDdvxNUV6o/KX1fA7lcjpCQECxevBgffPAB8vLysH///ioZw+OoiveOiB5gnDGMgIAA5Obm4ty5c1p1R48e1Spr3749AFTqFvzKaNu2LSRJeqz+TU1N0bJlS0ydOhXffvstgAfTFD0uXZ8TVdmjV03J5XK8/vrrOH36NA4fPozvvvsO/v7+GlMUVUZVxe3Dhw9rjbcmxW1bW1v07NkTq1atwvDhw3H37l0cP368SsbwNGMirRzDhg2DiYkJoqOjyzxLAADz5s0DALz55pvqMgcHB51fjGvXrum8f7m8D7ohv8RVqbLBlYiIqs6ECRMAPIhF9+/f16q/ffs2/vjjD/W/33jjDQDAjBkzNGLP+fPnsX79er3W6erqCrlcjlOnTkGpVKrL09PTMX78+Mfajie1fv16/P777+p/FxcX44MPPgDwIK6rDBs2DNbW1li8eLHOKQ8ejuGOjo4A/rn6/HG0bdsW7dq1Q3x8PKKjo8td35AhQ2BmZoYlS5ZozP1TVFSEadOmAQCGDx+uLm/SpAmsra3x448/qm/JAR6ctZ87d+5jj/lh5b0GR44cUd+O+jDVVQOqW7CMwcHBAZIkPdF7R0QPMM4YxmuvvQYA+PDDDzVuq7948SLWrVun1b5///5o0KABlixZgvj4eK36oqIiJCQkPPZ43NzcEBERgaNHj2LRokXqKYwedvz4cfX78dtvvyElJUWrTVXEgHnz5iE7O1ujzyVLlsDMzAxDhgzRaj969GgAD+KoUql87KvRAODFF19EvXr1sGHDBuzdu1er/uG4rfp9MXv2bI14mJWVpb5b6+HfIK1bt4YkSdi4cSPy8/PV5UlJSfj8888fe8wPKy9uHzhwQGO9KqorSI0Zt2sL3tpZDl9fX0ycOBH//ve/0a9fP2zbtk09NxgAlJaWYt68ediwYQMaNWqE9957T13Xpk0bxMbGIi4uTj03WWFhISZPnqxzXQ9/0B+9/eHhL/GQIUMQFhamUX/jxg31bZ/Dhg3D6tWrMXv2bPTs2VN99VlZX+KqNGHCBOzevRtvvvkmtm/fDicnJ43627dvIz09HU2bNjXI+omInmU9e/bEhx9+iDlz5qBx48bo2bMnPD09cf/+fVy5cgVHjhzB3Llz1fvgYcOG4b///S/27NmDVq1aoVevXkhLS8O3336LHj164KeffqpwnSYmJnj77bexePFiBAQEoF+/fsjKysLu3bvh6ekJDw8PQ2+2lhdeeAEdOnTAq6++CkdHR+zatQu//fYbwsLC8Prrr6vbubq64ptvvsGrr76Kdu3a4cUXX0STJk2QmpqK48ePw8vLC9u3bwfwYA4wuVyOpUuXIisrS31VhCqppa8NGzYgJCQEb731FtavX4+OHTsiPz8fv//+O06fPq0+MG3UqBE+/fRTTJkyBf7+/oiIiIBCocBPP/2Eixcvon///hrbYmFhgXfeeQeffPIJWrdujf79+yM7Oxs7duxAcHAw/vzzzyd8VYGuXbvis88+w+jRozFo0CAoFAo0aNAAQ4YMweLFi7Fv3z6EhoaiYcOGsLS0xKlTp3DgwAE0btwYL7300hOv/3FZW1ujbdu2iI+Px4gRI+Dj4wMTExMMGTLkiR+GQPSsYZwxjBEjRmD9+vX48ccf8fzzzyMsLAxpaWnYuHEjunfvjh07dqhvBQQAmUyGLVu2oFevXggODka3bt3QvHlzAMBff/2FI0eOwMnJ6Ynmpv7yyy9x6dIlTJ06VR2v7OzscP36dfz6669ISkrCrVu3YGVlhf3792PKlCno1KkTnnvuOTg5OeHq1av48ccfIZfL8c477zz2OBo2bIjmzZvj5ZdfRlFRETZv3oy7d+9i3rx5aNiwoVb75s2bIzAwEEePHoWlpaVGrKwsmUyGzZs3o2fPnujVqxd69uyJgIAAZGVl4cyZM1Aqleqrx4KCgjB+/Hh88cUX6vEKIbB161Zcv34dEyZMQFBQkLrvunXr4pVXXsHGjRvx/PPPo2fPnrh79y62bduGnj174vvvv3/scat07doVW7ZswaBBg9C7d29YWlqiRYsW6NOnD6ZMmYK//voLISEh8PLygiRJSEhIwIkTJxAYGIhOnTo98fqfesZ5WKhxVeZxrUVFRerH2SoUChERESGmT58uxo0bJ3x8fAQA4ePjI5KSkjSW2717twAgrKysxMiRI8X48ePFc889Jzp06CDc3d21Huu8a9cuAUA0adJEREVFiQULFmg87vfo0aPC1tZWSJIkevXqJaZNmybefvttERgYKFq2bKnR1/jx4wUAUb9+ffHuu++KiRMnivr16wsAYsKECRpty3q8rhDlP5ZX9YjnQ4cOaZR/+OGHAoCwt7cXr776qnj//fdFZGSkCAkJEaampmLBggUVvuZ8nC4R1XaV2Y9V9X543759ol+/fsLFxUWYm5sLNzc30bFjRzFnzhzx119/abTNzc0VU6dOFXXr1hUymUz4+fmJlStXljkmT09PrfhVWFgo5s2bJ3x8fIRMJhMNGjQQkydPFtnZ2TrbDxs2TAAQycnJem+TPh5eduXKlcLPz0/IZDJRr149MW3aNKFUKnUud/r0aRERESHq1KkjzM3Nhbu7u+jVq5f46aefNNrt3LlTtG3bVsjlcgGgzEfKV+T27dti4sSJomHDhsLCwkI4OjqK9u3biyVLlmi1/eGHH0RwcLCwsbERMplMtGjRQixevFgUFRVptS0uLhYfffSRqF+/vrCwsBC+vr7i888/F1evXhUAxLBhwzTa63pvVIKDg3Vu38KFC4WPj48wNzcXAERwcLAQQog9e/aIoUOHiiZNmggbGxthbW0t/Pz8RFRUlEhNTa30aySE0Oj/YcnJyTq3R4iyv0uXLl0SvXv3Fvb29kKSJL0+Y/wtQrWBvp9TxpmKt0kf5S1b3uuoj5ycHDFlyhTh4eGhfp1WrVoltmzZIgCIf//731rL/P3332LixInq18XW1lY0bdpUREZGigMHDmi0LWufKkTZ8UCpVIqFCxeK559/XigUCiGXy4W3t7cIDw8X33zzjToWXbhwQUycOFG0atVKODk5CZlMJho2bCiGDx8uLly48FivhyoOKZVK8d5774m6desKCwsL0axZMxETE1PusitXrhQAxOuvv/5Y637UlStXxMiRI0W9evWEubm5cHV1FSEhIeKbb77Rart69WrRtm1bYWVlJaysrETbtm3F6tWrdfabm5srxo8fL+rUqSNkMpnw9/cX//nPf8r8blT2PSwqKhJTp04VDRo0EGZmZhqxc+PGjSIiIkI0atRIWFlZCTs7O9GyZUuxcOFCkZOTU+Frwhj5YN6qZ87jvPH79u0TgwYNEh4eHsLc3FzY29uLjh07isWLF5f543zTpk2iRYsWwsLCQri5uYnx48eXucMXouwfqCqG+BJXdWBVvVb6Bldd+MUkotqO+7Hq9yQHR0SP4neYagN+Tp9+M2bMEADErl27jD2UWmPs2LECgDh8+LCxh/LU4r5HCEkIHTc9P+Xy8/ORnJwMb29vWFpaGns49Ai+P0RU23E/Vv1mzZqF2bNn49ChQ+opFYgeF7/DVBvwc/r0uHXrlsYUQgBw4cIFdOjQAaamprhx4wasrKyMNLra4969e/D29kaDBg1w4cIFYw/nqcV9D+dIIyIiIiIiIjKasWPH4tq1a2jXrh0cHBzw559/YseOHSgqKsLXX3/NJFoFdu7ciVOnTmHLli3Izc3FzJkzjT0kesoxkUZEREQ1zrVr17B27doK29nb2+Pdd981+Hh02b59u84nfj4qJCTkmb9Kbu3atbh27VqF7cLDww32dHEioocZKs5kZGRg6dKlerWdNWsWAGDQoEH46quvsHXrVmRmZsLa2hrBwcGYMmWK1oPmaqO4uDjExcVV2K5ly5YIDw+vdP/fffcd1q1bBw8PD8yfPx+vvPKKznaMRVRVeGvnM3opYk3G94eIajvux55cXFwcQkNDK2zn6emp149iQxg+fDjWrVtXYbuZM2eqD5aeVSEhITh8+HCF7dasWYPhw4cbfkAV4HeYagN+Tp+MoeLMtWvX4O3trVfbZ+VQXDX9QkWGDRumV3LzcdW2WFRTcd/DRNoz+8bXZHx/iKi2436MqHbjd5hqA35OicgYuO8BTIw9ACIiIiIiIiIiotqAiTQiIiIiIiIiIiI9MJFGRERERERERESkBybSiIiIiIiIiIiI9MBEGhERERERERERkR6YSCMiIiIiIiIiItIDE2lERERERERERER6YCKNiIiIiIiIiIhID0ykERERERERERER6YGJNCIiIiIiIiIiIj0wkfaM27BhA0aPHo02bdpAJpNBkiSsXbu20v2UlpZi+fLl8Pf3h1wuh4uLCyIiIpCUlFT1gyYiIqqlqiLuJiQkYMqUKXj++efh5OQES0tLPPfcc3j//feRkZFhkHETEdHTr7IxKisrC5MnT4anpydkMhk8PT0xefJkZGVlabW9du0aJEkq82/jxo0615GUlISIiAi4uLhALpfD398fy5cvR2lpaVVtNlGlmRl7AGRcUVFRSElJgbOzM9zd3ZGSkvJY/YwZMwbR0dHw8/PD+PHjcefOHWzatAmxsbE4evQo/Pz8qnjkREREtU9VxN2BAwciNTUVnTt3xtChQyFJEuLi4rBw4UJ8//33OHr0KFxdXQ0weiIieppVJkbl5uYiODgYZ86cQffu3TF48GCcPXsW//73v3Ho0CEkJCRAoVBoLRcQEIDw8HCt8ubNm2uVXbhwAYGBgVAqlYiIiEDdunWxe/dujB8/HufOncOqVaueaHuJHhcTadUgOz0H6XcykZuphLW9Fexd7WDjYG3sYQEAYmJi4OPjA09PT3zyySeYPn16pfs4dOgQoqOj0aVLF+zbtw8ymQwAMHToUHTv3h1jx47F4cOHq3roREREOmVnKpGRmoPc7HwobC1h72QNGzsrYw8LQNXE3UmTJmHo0KFwd3dXlwkhMG7cOKxYsQKzZ8/G//3f/1XlsImIqIpkZyqRcT8XuTn5UNhYwt5RUStj1MKFC3HmzBlMnToVn376qbp85syZ+Pjjj7Fw4ULMnj1ba7mWLVti1qxZeo1n7NixyMzMxM6dO9G7d28AwNy5c9GrVy9ER0dj8ODBCA0NrdxGElUBJtIM7N71VCyO/Aq/7jurLmvTIwCTo8fApb6zEUf2wAsvvPDEfURHRwN4sFNTJdEAoFu3bggLC8OePXtw+fJl+Pr6PvG6iIiIynPvVgaWTv8OpxIuq8tad/HFu/MHwcXd3ngD+5+qiLvvv/++VpkkSfjwww+xYsUKnrwiIqqh7t3OxNIPt+JU4j/T37Tu5IN35wyAi5udEUf2gL4xSgiBmJgYWFtb46OPPtKomz59Or744gt8/fXXmDVrFiRJeqyxXL58GfHx8QgNDVUn0QDA3Nwc8+bNw4EDBxAdHc1EGhkF50gzoOz0HK0kGgCcjD2LJaO+QnZ6jpFGVrXi4uKgUCjQqVMnrbqwsDAA4I96IiIyuOxMpVYSDQBOHbmMpR98h+xMpZFGVj3Mzc0BAGZmPE9KRFTTZGcqtZJoAHAqMQlLP9xaq2JUUlISbt68iU6dOmndvmlpaYmgoCDcuHEDV65c0Vr25s2bWLFiBRYsWIB169bh77//1rmOuLg4AECPHj206tq1awd7e3seY5LR8JeWAaXfydRKoqmcjD2L9DuZNeYWz8eVm5uLW7duoXnz5jA1NdWq9/HxAQA+dICIiAwuIzVHK4mmcurIZWSk5tSY22cMYfXq1QB0H3QQEZFxZdzP1UqiqZxKTELG/dxaE6NUx3aqY71HPXwM+Gibffv2Yd++fep/m5mZYcKECVi0aBFMTP65zqe8dUiShMaNG+PkyZNQKpWwsqodrxs9PXhFmgHlVnBWQZlVe846lCUzMxMAYGen+1JkW1tbjXZERESGkpudX269Mqf8+trszJkzmD17NlxdXTF16lRjD4eIiB6RW0EMqk0x6nGOAa2srDBz5kycOXMGWVlZuHv3Ln788Uf4+PhgyZIlmDFjxhOvg6i6MJFmQIoKzihY2TJzTkREVFUUNpbl1ltZl19fWyUnJ6Nv374oKSnBxo0b4exs/DlYiYhIk6KCGPS0xigVV1dXzJo1CwEBAbCxsYGLiwv69euHgwcPwsnJCUuWLEF6erqxh0mkFybSDMihjh3a9AjQWdemRwAc6hh/QsknpTpDUNaZgKysLI12REREhmLvbI3WXXQ/2KZ1F1/YO9fu6RR0SUlJQWhoKO7du4ctW7Zw0mUiohrK3kmB1p103wrZupMP7J0UOutqoqo8BnRzc0Pv3r1RWFiIX375pdLrUF2ZRlSdmEgzIBsHa0yOHqOVTHvw1M6xtX5+NABQKBRwd3dHcnIySkpKtOorun+eiIioqtjYWeHd+YO0kmmqp3bWlrln9HXt2jWEhITg5s2b2Lx5M/r27WvsIRERURls7Kzw7pwBWsk01VM7a1OMqmge7MoeA6qupFYq/5n6qLx1CCFw5coVeHh4aD3sgKg68GEDBuZS3xkffPsu0u9kQpmlhJWtFRzq2D0VSTSV4OBgbNy4EYmJiQgKCtKo27t3r7oNERGRobm422Pa0teQkZoDZU4+rKwtYe9sXasOUPTxcBJt06ZN6N+/v7GHREREFXBxs8O0z15Bxv3cf2KUk6LWxSgfHx94eHggMTERubm5Gsms/Px8xMfHw8PDA40bN9arvxMnTgAAvLy81GUhISEAgNjYWEybNk2rfUZGBnr16vVkG0L0mHhFWjWwcbBGg+fq4rl2PmjwXN1am0RLTU3FxYsXkZqaqlH+1ltvAQCioqJQWFioLj9w4AD27t2LoKAg+PrqvtWGiIioqtnYWaF+I1c0CWiA+o1ca90BikpZcVeVRLtx4wY2btyIl156yUgjJCKiyrKxs0L9hi5o4l8f9Ru61MoYJUkSIiMjkZOTg48//lijbsGCBUhPT0dkZCQkSVKXnzhxAkVFRVp9LVmyBImJifDz80NAwD93cvn6+iIoKAiHDh3Crl271OVFRUWIiooCAIwaNaqqN41IL5IQQhh7ENUtPz8fycnJ8Pb2hqXl0z2pY0ViYmKQkJAAADh//jxOnTqFTp06qc8ehIeHIzw8HAAwa9YszJ49GzNnzsSsWbM0+hk1ahRiYmLg5+eHPn364M6dO9i0aRMsLS1x9OhR+Pn56T0mvj9EVNtxP0ZlqYq46+XlhZSUFHTo0AFhYWE61/NonKbK4XeYagN+TqmqVSZG5ebmonPnzjhz5gy6d++O559/HmfPnsXu3bvRsmVLJCQkaFypFhISgosXLyI4OBj169dHXl4efv75Z5w+fRoODg7Yv38/WrdurTGeCxcuIDAwEHl5eYiIiICHhwf27NmDc+fOITIyEtHR0dXzwpAG7nt4a+czLyEhAevWrdMoS0xMRGJiIoAHP9ZVO8vyrFy5Ev7+/li5ciWWLVsGa2tr9OvXD/PmzePVaERERP9TFXE3JSUFAHDs2DEcO3ZMZxsm0oiIqLIqE6MUCgXi4uIwe/ZsbNmyBXFxcXBzc8OkSZMwc+ZMrbnLXn/9dXz//fc4evSo+kprT09PTJw4Ee+99x7q1aunNR4/Pz+cOHECM2bMwO7du5GTk4PGjRtj2bJlGDdunAFeASL98Iq0ZzSDWpPx/SGi2o77MaLajd9hqg34OSUiY+C+h3OkERERERERERER6YWJNCIiIiIiIiIiIj0wkUZERERERERERKQHJtKIiIiIiIiIiIj0wEQaERERERERERGRHphIIyIiIiIiIiIi0gMTaURERERERERERHpgIo2IiIiIiIiIiEgPTKQRERERERERERHpgYk0IiIiIiIiIiIiPTCRRkREREREREREpAcm0oiIiIiIiIiIiPTARBoREREREREREZEemEh7ht24cQNLly5Fjx490KBBA1hYWMDNzQ0vv/wyjh8/Xqm+SktLsXz5cvj7+0Mul8PFxQURERFISkoy0OiJiIhqnw0bNmD06NFo06YNZDIZJEnC2rVrK91PRkYGPvroI/j7+8PGxgbOzs5o27Ytli9fjvz8/KofOBERPfX0jVFFRUX4/vvvMXz4cDRt2hQKhQI2NjZo3749vvzyS5SUlJS5jv/+979o164dFAoFHBwc0Lt3b5w8ebLM9klJSYiIiICLiwvkcjn8/f2xfPlylJaWVsUmEz0WM2MPgIzniy++wKeffopGjRqhe/fucHV1RVJSErZv347t27fj22+/RUREhF59jRkzBtHR0fDz88P48eNx584dbNq0CbGxsTh69Cj8/PwMvDVEREQ1X1RUFFJSUuDs7Ax3d3ekpKRUuo+MjAw8//zzuHr1Kjp37ozRo0ejoKAAu3fvxvjx47Ft2zbs27cPJiY8X0pERPrTN0b9+eefGDhwIGxsbNC1a1e8+OKLyMzMxI4dOzBu3Djs2bMHP/zwAyRJ0lhu/vz5mDFjBho0aIAxY8YgJycHGzduRKdOnbB3716EhIRotL9w4QICAwOhVCoRERGBunXrqmPduXPnsGrVKkO9FETlE8+gvLw8ceHCBZGXl2fsoRjV999/L+Lj47XK4+Pjhbm5uXB0dBT5+fkV9nPw4EEBQHTp0kWj/f79+4UkSSIoKKhS4+L7Q0S1HfdjVJZ9+/aJa9euCSGEWLBggQAg1qxZU6k+Pv30UwFATJo0SaO8oKBAtG3bVgAQhw8frqohP5P4HabagJ9Tqmr6xqi///5bfPnllyI3N1ejPCcnR7Rp00YAEJs3b9aou3z5sjAzMxO+vr4iIyNDXf7bb78JKysr0ahRI1FUVKSxTFBQkAAgdu7cqS4rLCwU3bp1EwDEwYMHn3ST6TFw3yMET1VWg+zsPPz113388cdNXL9+H9nZecYeEgBgwIAB6NKli1Z5ly5dEBoairS0NJw/f77CfqKjowEAc+fOhUwmU5d369YNYWFhiI+Px+XLl6tu4EREROXIyslHyo00/J50Cyk30pCVU3NudXzhhRfg6en5RH1cvXoVANC7d2+NcgsLC3Tv3h0AcPfu3SdaBxERGUZWTj6u3UzD71duIeVm7YxRdevWxdixY2FlZaVRrlAoMHnyZADA4cOHNerWrFmD4uJizJgxA3Z2duryZs2aYejQofjzzz9x8OBBdfnly5cRHx+P0NBQjXhnbm6OefPmAfjnOJSouvHWTgO7ey8Lny3ehZO/XlOXtWnjjfcm94Kri63xBlYBc3NzAICZWcUfkbi4OCgUCnTq1EmrLiwsDHv27MHhw4fh6+tb5eMkIiJ62J3UbCz4ai9OnPvndpR2AV6YProH6jjbGHFkVadZs2YAgD179uCFF15QlxcVFWH//v2Qy+Xo2LGjsYZHRERluHM/G/NjYnH8/D8xqn0LT3wQ2QN1nJ6OGFXWcWRcXBwAoEePHlrLhIWF4auvvsLhw4fV9eW1b9euHezt7bWSdUTVhVekGVB2dp5WEg0ATp5MxmdLdteYK9Me9ddff2H//v1wc3NDixYtym2bm5uLW7duwdvbG6amplr1Pj4+AMCHDhARkcFl5eRrJdEA4MTZa1iwMrZGnfV/EpGRkWjbti0WL16MkJAQ/Otf/8KECRPQrFkzXL16Ff/9739Rt25dYw+TiIgekpWTr5VEA4Dj51MwP+bpiVGrV68GoJ0AS0pKgrW1Ndzc3LSW0XXMqPp/Vd3DJElC48aNcfPmTSiVyiobO5G+eEWaAaWnK7WSaConTyYjPV0JGxt59Q6qAkVFRXjjjTdQUFCAhQsX6kyOPSwzMxMANC7PfZitra1GOyIiIkNJz1RqJdFUTpy9hvRMJWytLat5VFVPLpcjLi4Oo0ePxoYNG9Rn5E1MTPDOO++gc+fORh4hERE9Ki1LqZVEUzl+PgVpWbU/Rq1atQq7d+9G165dtaYfyMzMhKurq87ldB0zVuY489FbTIkMjVekGVBubkH59cry66tbaWkp3nzzTcTHx2PUqFF44403jD0kIiIiveVUEFcrqq8tUlNT0b17dxw7dgw7d+5ERkYGbt++ja+++gpr1qxB+/btkZ6ebuxhEhHRQyo69qtpx4aVtXPnTrzzzjvw9PTEhg0bjD0cIoPiFWkGpFDIyq+3Kr++OgkhMGrUKGzYsAGvv/46vvrqK72WU50hKOuKs6ysLI12REREhmJdQVytqL62mDx5Mo4ePYqzZ8/C398fwIM4O2rUKJSUlGDs2LFYunQpZs+ebeSREhGRSkXHfjXp2LCy9u7di5dffhl16tTBwYMH4e7urtXGzs6uUseM+h5nqq5MI6pOvCLNgBwcrNCmjbfOujZtvOHgUDMuQS0tLcXIkSOxevVqDB48GGvXroWJiX4fDYVCAXd3dyQnJ6OkpESrvrx724mIiKqSg50V2gV46axrF+AFB7uaEXef1M6dO+Ho6KhOoj2sa9euAIBff/21uodFRETlcLS1QvsWup+I2b6FJxxta2eM2rNnD8LDw+Hs7IxDhw6hYcOGOtv5+PggJycHt2/f1qrTdcxY3lzbQghcuXIFHh4eUCgUVbEZRJXCRJoB2djI8d7kXlrJtDZtvPGvyb1qxPxopaWliIyMxJo1a/DKK69g/fr1Fc6L9qjg4GDk5uYiMTFRq27v3r3qNkRERIZka22J6aN7aCXT2gV44YMxPWr93DMqhYWFyMrKQmFhoVbdvXv3AAAyWe29soGI6Glka22JDyJ7aCXTVE/trI0xSpVEc3BwwKFDh9C4ceMy26qOB2NjY7XqdB0zhoSElNn+xIkTyMjI4DEmGQ1v7TQwVxdbfPjBi0hPVyJXWQCFlQwODlY1Jok2cuRIrF27FoMGDcKGDRvKTaKlpqYiNTUVzs7OcHZ2Vpe/9dZb2LhxI6KiorB//35YWFgAAA4cOIC9e/ciKCgIvr6+Bt8eIiKiOs42+HhiH6RnKpGjLIC1lQwOdla18gClrLjbqVMn7N27F3PmzMGcOXPU5QUFBep/h4aGVvt4iYiofHWcbDBnXB+kZf1zbOhoWztj1KNJtIruQBoxYgQ+++wzzJs3D/3791ffuvn777/jm2++QaNGjdRXVQOAr68vgoKCcOjQIezatUv98IKioiJERUUBAEaNGmWgrSMqnySEEMYeRHXLz89HcnIyvL29YWlZ+3ZaVWXWrFmYPXs2rK2tMXHiRJiZaedVw8PD0bJlS432M2fOxKxZszTajRo1CjExMfDz80OfPn1w584dbNq0CZaWljh69Cj8/Pz0HhffHyKq7bgfo7LExMQgISEBAHD+/HmcOnUKnTp1Up/FDw8PR3h4OICy4+6ZM2cQFBSE7OxstGvXDp06dUJ+fj727t2Lq1ev4vnnn0dCQgI/e0+A32GqDfg5paqmb4y6ePEiWrZsiYKCArz66qto0qSJVl9eXl4YPny4Rtm8efMQFRWFBg0aYODAgcjNzcW3336LvLw87N27V+sk0IULFxAYGIi8vDxERETAw8MDe/bswblz5xAZGYno6GjDvBBULu57eEXaM+3atWsAgJycHMybN09nGy8vL3UirTwrV66Ev78/Vq5ciWXLlsHa2hr9+vXDvHnzeDUaERHR/yQkJGDdunUaZYmJierpEby8vNSJtLK0bNkSv/76KxYsWIADBw5g+fLlMDMzQ+PGjTF79my89957z+wPWyIienz6xqjbt2+joODBU0Y3btyos6/g4GCtRNqMGTPg5eWFpUuXYsWKFbCwsEBgYCA+/vhjtG3bVqsPPz8/nDhxAjNmzMDu3buRk5ODxo0bY9myZRg3blwVbDHR4+EVafyhWePw/SGi2o77MaLajd9hqg34OSUiY+C+hw8bICIiIiIiIiIi0gsTaURERERERERERHpgIo2IiIiIiIiIiEgPTKQRERERERERERHpgYk0IiIiIiIiIiIiPTCRRkREREREREREpAcm0oiIiIiIiIiIiPTARBoREREREREREZEemEgjIiIiIiIiIiLSAxNpREREREREREREemAijYiIiIiIiIiISA9MpBEREREREREREemBiTQiIiIiIiIiIiI9MJFGRERERERERESkBybSnmEZGRmYMGECOnbsCDc3N8hkMtStWxddu3bF999/DyGE3n2VlpZi+fLl8Pf3h1wuh4uLCyIiIpCUlGTALSAiIqpdbty4gaVLl6JHjx5o0KABLCws4ObmhpdffhnHjx9/7H6LiorQsmVLSJKE5557rgpHTEREz4oNGzZg9OjRaNOmDWQyGSRJwtq1a3W2jY6ORr9+/eDt7Q2FQgE7OzsEBATgo48+Qlpamlb7a9euQZKkMv82btyocz1JSUmIiIiAi4sL5HI5/P39sXz5cpSWllblphNVipmxB0DGk5qaitWrV6NDhw4IDw+Ho6Mj7t69ix07dmDgwIEYNWoUVq1apVdfY8aMQXR0NPz8/DB+/HjcuXMHmzZtQmxsLI4ePQo/Pz8Dbw0REVHN98UXX+DTTz9Fo0aN0L17d7i6uiIpKQnbt2/H9u3b8e233yIiIqLS/c6ZMwdXrlwxwIiJiOhZERUVhZSUFDg7O8Pd3R0pKSlltl2/fj3S09PRpUsXuLu7o6CgAMeOHcOcOXOwbt06HD9+HG5ublrLBQQEIDw8XKu8efPmWmUXLlxAYGAglEolIiIiULduXezevRvjx4/HuXPn9D5WJapqTKRVg0xlPtJylMjOL4CNXAZHhRXsrCyNPSx4e3sjIyMDZmaaH4Ps7Gx06NAB0dHRmDhxIpo1a1ZuP4cOHUJ0dDS6dOmCffv2QSaTAQCGDh2K7t27Y+zYsTh8+LDBtoOIiOhhmXn5uJ/7v7hrKYOTwgp2cuPHXQBo164d4uPj0aVLF43yI0eOoFu3bhg7diz69++vjqX6OHXqFBYsWIAlS5ZgwoQJVT1kIiKqQpl5+bivfChGWdWcGBUTEwMfHx94enrik08+wfTp08tsGxsbC0tL7XF/+OGHmDt3LhYvXoxFixZp1bds2RKzZs3Sazxjx45FZmYmdu7cid69ewMA5s6di169eiE6OhqDBw9GaGiofhtHVIWYSDOw2xnZ+HBrLI4m/aUu6+TjiY8HdIebvY0RRwaYmprqLLexsUFYWBguXLiAK1euVJhIi46OBvBgp/bwD/9u3bohLCwMe/bsweXLl+Hr61t1gyciItLhVmY2onbEIuHqP3G3cyNPzO3bHe52xo27ADBgwACd5V26dEFoaChiY2Nx/vx5tGnTRq/+CgsLMXz4cHTo0AHvvPMOE2lERDXYraxszNgZi4Tkf2JUF29PzO3THe62xo9RL7zwgt5tdSXRAGDQoEGYO3fuE18lffnyZcTHxyM0NFSdRAMAc3NzzJs3DwcOHEB0dDQTaWQUnCPNgDKV+VpJNABITErBR1v3IVOZb6SRlS8/Px8HDx6EJEl63ZIZFxcHhUKBTp06adWFhYUBAK9IIyIig8vMy9dKogFAwp8piPppHzLzambcVTE3NwcArSvFyzNr1iwkJSXh66+/hiRJhhoaERE9ocy8fK0kGgAcSU5B1M6aH6P0tXPnTgC6b9UEgJs3b2LFihVYsGAB1q1bh7///ltnu7i4OABAjx49tOratWsHe3t7HmOS0fCKNANKy1FqJdFUEpNSkJajrBG3eGZkZGDp0qUoLS3F3bt3sWvXLly/fh0zZ86Ej49Pucvm5ubi1q1baN68uc4r3FTL86EDRERkaPdzlVpJNJWEP1NwP1dZY26fedRff/2F/fv3w83NDS1atNBrmV9++QULFy7E/PnzedU3EVENd1+p1EqiqRxJTsF9Zc2NUeVZu3Ytrl27huzsbJw6dQpxcXFo1aoVJk+erLP9vn37sG/fPvW/zczMMGHCBCxatAgmJv9c56M6ftR1PCpJEho3boyTJ09CqVTCysqqireKqHxMpBlQdn5B+fUF5ddXl4yMDMyePVv9b3NzcyxatAhTpkypcNnMzEwAgJ2dnc56W1tbjXZERESGUlvi7qOKiorwxhtvoKCgAAsXLixz6oWHFRQUYPjw4WjVqpVe8ZqIiIyrwhhVQX1NtXbtWo0rw3r06IH169fDwcFBo52VlRVmzpyJl156CQ0bNkR+fj6OHTuG999/H0uWLIGFhQUWLFigbl+Z40wm0qi68dZOA7KxLH+iYJtKTCRsSF5eXhBCoLi4GMnJyfj4448xY8YMvPzyyyguLjb28IiIiPRSW+Luw0pLS/Hmm28iPj4eo0aNwhtvvKHXch9++CGSkpKwevVqvRJvRERkXBXGqArqa6q4uDgIIXDv3j389NNP+Pvvv9G6dWucO3dOo52rqytmzZqFgIAA2NjYwMXFBf369cPBgwfh5OSEJUuWID093UhbQVQ5TKQZkKO1FTr5eOqs6+TjCUfrmpU5NzU1hZeXF6ZNm4a5c+di27Zt6gcJlEV1hqCsK86ysrI02hERERmKk8IKnRvpjrudG3nCSVGz4q4QAqNGjcKGDRvw+uuv46uvvtJruVOnTmHJkiWYMWOG3reBEhGRcTlZWaGLt+4Y1cXbE061/KoqZ2dn9OnTB3v27EFqaipGjRql13Jubm7o3bs3CgsL8csvv6jL9T3OVF2ZRlSdmEgzIDsrS3w8oLtWMq2Tjyc+frl7jZgfrSyqSR1VkzyWRaFQwN3dHcnJySgpKdGqL+/ediIioqpkJ7fE3L7dtZJpnRt5Yl7f7jVq7pnS0lKMHDkSq1evxuDBg7F27VqNuWHKc+7cOZSUlGDWrFmQJEnjDwAuXboESZJgb29vwC0gIqLKsJNbYm6f7lrJNNVTO2tSjHoS9evXR9OmTfHLL79AqVTqtYyzszMAaLQvb65tIQSuXLkCDw8PKBSKKhg1UeVwjjQDc7O3waJXeyMtR4nsggLYyGRwtLaq0Uk04MHTVAD9nhwWHByMjRs3IjExEUFBQRp1e/fuVbchIiIyNHc7GywZ0Bv3c/+Ju04Kqxp1gFJaWorIyEisWbMGr7zyCtavX1+p2zN9fX0xcuRInXVff/017OzsMHDgQM4ZQ0RUw7jb2mBJeG/cVyqRnV8AG0sZnKxqVoyqCrdu3YIkSXrHthMnTgB4MOWQSkhICAAgNjYW06ZN02qfkZGBXr16Vcl4iSqLibRqYGdlWSMTZ2fOnIG3t7fWbZdpaWn44IMPAEBj55SamorU1FQ4OzurzxoAwFtvvYWNGzciKioK+/fvh4WFBQDgwIED2Lt3L4KCgvg0MSIiqjZ2cssae1CiuhJt7dq1GDRoEDZs2FDugYau2BsYGIjAwECd7b/++mu4ubkhJibGIOMnIqInU5NjlL7u37+P27dvo1mzZhrlQgjMnj0bd+7cQbdu3SB7aG7SEydOoFWrVjA3N9dYZsmSJUhMTISfnx8CAgLU5b6+vggKCsKhQ4ewa9cu9O7dG8CDB/RERUUBgN63jxJVNSbSnmFr165FTEwMQkND4enpCYVCgZSUFOzcuRM5OTl4+eWXMWTIEHX75cuXY/bs2Zg5cyZmzZqlLg8NDUVkZCRiYmLQqlUr9OnTB3fu3MGmTZtga2uLFStWGGHriIiIap6PP/4Ya9euhbW1NXx9fTF37lytNuHh4WjZsiWAsmMvERFRVYuJiUFCQgIA4Pz58+oy1XQ/4eHhCA8Px/Xr19GqVSu0a9cOfn5+cHNzQ2pqKo4cOYJLly7Bzc0N//d//6fR99SpU3Hx4kUEBwejfv36yMvLw88//4zTp0/DwcEB69evV09RoLJixQoEBgbipZdeQkREBDw8PLBnzx6cO3cOkZGRCA0NNfyLQqQDE2nPsIEDByIzMxPHjh1DfHw8lEolHB0d0blzZwwdOhSvvvqq1s6sLCtXroS/vz9WrlyJZcuWwdraGv369cO8efN4NRoREdH/XLt2DQCQk5ODefPm6Wzj5eWlTqQRERFVl4SEBKxbt06jLDExEYmJiQAexKfw8HB4enpi+vTpiIuLw65du5CWlgZLS0v4+PggKioK7777LpycnDT6ef311/H999/j6NGjSE1NBQB4enpi4sSJeO+991CvXj2t8fj5+eHEiROYMWMGdu/ejZycHDRu3BjLli3DuHHjDPQqEFVMEkIIYw+iuuXn5yM5ORne3t6wtKzdl9U+jfj+EFFtx/0YUe3G7zDVBvycEpExcN/Dp3YSERERERERERHphYk0IiIiIiIiIiIiPTCRRkREREREREREpAcm0oiIiIiIiIiIiPTARBoREREREREREZEemEgjIiIiIiIiIiLSAxNpREREREREREREemAijYiIiIiIiIiISA9MpBEREREREREREemBiTQiIiIiIiIiIiI9MJFGRERERERERESkBybSiIiIiIiIiIiI9MBEGhERERERERERkR6YSCMiIiIiIiIiItIDE2mkYeHChZAkCZIk4dixY5VatrS0FMuXL4e/vz/kcjlcXFwQERGBpKQkA42WiIiodsnIyMCECRPQsWNHuLm5QSaToW7duujatSu+//57CCH07otxl4iIqtKGDRswevRotGnTBjKZDJIkYe3atTrbzpo1S33c+OifpaVlmev473//i3bt2kGhUMDBwQG9e/fGyZMny2yflJSEiIgIuLi4QC6Xw9/fH8uXL0dpaemTbi7RYzMz9gCo5vjjjz/w0UcfQaFQIDc3t9LLjxkzBtHR0fDz88P48eNx584dbNq0CbGxsTh69Cj8/PwMMGoiIqLaIzU1FatXr0aHDh0QHh4OR0dH3L17Fzt27MDAgQMxatQorFq1Sq++GHeJiKgqRUVFISUlBc7OznB3d0dKSkqFywwbNgxeXl4aZWZmutMM8+fPx4wZM9CgQQOMGTMGOTk52LhxIzp16oS9e/ciJCREo/2FCxcQGBgIpVKJiIgI1K1bF7t378b48eNx7tw5veMlUVVjIq0aZBbkIbUgF9lFBbA1t4STzAp2Mrmxh6WhpKQEw4YNQ0BAAHx9fbFhw4ZKLX/o0CFER0ejS5cu2LdvH2QyGQBg6NCh6N69O8aOHYvDhw8bYuhEREQaanLc9fb2RkZGhtZBRnZ2Njp06IDo6GhMnDgRzZo1K7cfxl0iotopszAP9wtykV2UD1tzSzjKFLCzqBkxKiYmBj4+PvD09MQnn3yC6dOnV7jM8OHDtRJguiQlJWHmzJnw9fXFiRMnYGdnBwCYMGEC2rVrh8jISFy8eFEjPo4dOxaZmZnYuXMnevfuDQCYO3cuevXqhejoaAwePBihoaGPt7FET4CJNAO7pczC9BM/4cidZHVZlzoNsaBdH7hb2RpxZJo+/fRTnD17FqdOncKiRYsqvXx0dDSABzs21Y95AOjWrRvCwsKwZ88eXL58Gb6+vlU2ZiIiokfdUmZi+i8/IeGRuDu/bR+4W9kZcWQPmJqa6iy3sbFBWFgYLly4gCtXrlSYSGPcJSKqfW4rMxF1+kck3r2qLuvs2ghzWvWDWw2IUS+88ILB+l6zZg2Ki4sxY8YMdRINAJo1a4ahQ4fiq6++wsGDB9GjRw8AwOXLlxEfH4/Q0FB1Eg0AzM3NMW/ePBw4cADR0dFMpJFRcI40A8osyNNKogHAkTtXMf3ETmQW5BlpZJp+++03zJ49G1FRURX+cC9LXFwcFAoFOnXqpFUXFhYGADwzTkREBpVZkKeVRAMexN0Pfqk5cVeX/Px8HDx4EJIk6XVLJuMuEVHtklmYp5VEA4CEu3/iw9M7kFlYc2NUeY4cOYKFCxdi8eLF2LlzJwoKCnS2i4uLAwB1ouxhuuJWee3btWsHe3t7xjkyGl6RZkCpBblaSTSVI3euIrUg1+i3mhQXF2P48OFo2rQppk2b9lh95Obm4tatW2jevLnOM+0+Pj4AwMmPiYjIoFILcrWSaCo1Je6qZGRkYOnSpSgtLcXdu3exa9cuXL9+HTNnzlTHzbIw7hIR1T73C3K1kmgqCXf/xP2C3Bpzi2dlfPTRRxr/dnd3x7p169C9e3eN8qSkJFhbW8PNzU2rD11xS/X/umKiJElo3LgxTp48CaVSCSsrqyfeDqLKYCLNgLKLdGfj9a2vDvPnz8fZs2dx/PhxmJubP1YfmZmZAKBxie7DbG1tNdoREREZQkVxNacGxF2VjIwMzJ49W/1vc3NzLFq0CFOmTKlwWcZdIqLaJ7sov9z6nArqa5qWLVti3bp1CA4ORp06dfD3339j48aNmD9/Pl588UUcO3YMAQEB6vaZmZlwdXXV2ZeuuFWZWMdEGlU3JtIMyMZc9kT1hnb27FnMnTsX7733Hlq3bm3UsRARET2piuKqtZHj7sO8vLwghEBJSQmuX7+OjRs3YsaMGTh69Cg2b95c5hPPiIiodrIxtyy33rqC+pomPDxc49+NGzdGVFQU6tSpg7feegtz587Fd999Z5zBERkY50gzIGeZAl3qNNRZ16VOQzjLFNU8Ik3Dhg1Do0aNMGvWrCfqR3WWoKwz31lZWRrtiIiIDKGmx11dTE1N4eXlhWnTpmHu3LnYtm2b+kECZWHcJSKqfZxkCnR2baSzrrNrIzjVwBj1OIYNGwYzMzMkJiZqlNvZ2VUqbukb61RXphFVJybSDMhOJseCdn20ftSrntpp7Hlazp49i4sXL8LS0hKSJKn/1q1bBwDo2LEjJEnC9u3by+1HoVDA3d0dycnJKCkp0aov7/52IiKiqmInk2N+W91xd37bvkaPuxVRTaismmC5LIy7RES1j52FHHNa9dNKpnV2bYQ5rfvVyvnRdLGwsICNjQ2USqVGuY+PD3JycnD79m2tZXTFrfLm+xRC4MqVK/Dw8IBC8XQkIKl24X0DBuZuZYvPO4YjtSAX2UUFsDGXwVmmqBE/5keOHKmzPD4+HklJSXjxxRfh4uICLy+vCvsKDg7Gxo0bkZiYiKCgII26vXv3qtsQEREZkruVHZZ2eAmpBbnIKSqAdQ2KuxW5efMmAOh1WyfjLhFR7eNmZYfP2r6M+wW5yCnKh7W5JZxkiqcmiQY8SHylp6drzI8GPIhJP//8M2JjYzF06FCNOl1xKyQkBAAQGxur9VC8EydOICMjA7169TLAFhBVjIm0amAnk9fIH/AxMTE6y4cPH46kpCRMnz4dHTp00KhLTU1FamoqnJ2d4ezsrC5/6623sHHjRkRFRWH//v2wsLAAABw4cAB79+5FUFAQfH19DbcxRERE/1NT4y4AnDlzBt7e3lq3XaalpeGDDz4AAI0DA8ZdIqKni52FvNYnzrKzs5GcnAx/f3+N8vT0dPXFGoMHD9aoGzFiBD777DPMmzcP/fv3V8fB33//Hd988w0aNWqErl27qtv7+voiKCgIhw4dwq5du9C7d28AQFFREaKiogAAo0aNMtg2EpWHiTSqlOXLl2P27NmYOXOmxtxqoaGhiIyMRExMDFq1aoU+ffrgzp072LRpE2xtbbFixQrjDZqIiKiGWLt2LWJiYhAaGgpPT08oFAqkpKRg586dyMnJwcsvv4whQ4ao2zPuEhFRdYmJiUFCQgIA4Pz58+oy1ZQD4eHhCA8Px/379xEQEIA2bdqgRYsWcHV1xY0bN7B7927cv38f3bt3x6RJkzT69vX1xaxZsxAVFQV/f38MHDgQubm5+Pbbb1FUVITo6GitK7JXrFiBwMBAvPTSS4iIiICHhwf27NmDc+fOITIyEqGhoYZ/UYh0YCKNqszKlSvh7++PlStXYtmyZbC2tka/fv0wb948nhUnIiICMHDgQGRmZuLYsWOIj4+HUqmEo6MjOnfujKFDh+LVV1+FJEl69cW4S0REVSkhIUE9X7ZKYmKi+sEBXl5eCA8Ph6OjI8aNG4djx45hx44dyMjIgEKhQIsWLfD6668jMjISpqamWv3PmDEDXl5eWLp0KVasWAELCwsEBgbi448/Rtu2bbXa+/n54cSJE5gxYwZ2796NnJwcNG7cGMuWLcO4ceMM8yIQ6UESQghjD6K65efnIzk5Gd7e3rC0rF2PGX4W8P0hotqO+zGi2o3fYaoN+DklImPgvodP7SQiIiIiIiIiItILE2lERERERERERER6YCKNiIiIiIiIiIhID0ykERERERERERER6YGJNCIiIiIiIiIiIj0wkUZERERERERERKQHJtKIiIiIiIiIiIj0wEQaERERERERERGRHphIIyIiIiIiIiIi0gMTaURERERERERERHpgIo2IiIiIiIiIiEgPTKQRERERERERERHpgYk0IiIiIiIiIiIiPTCR9ozz8vKCJEk6/8aMGaN3P6WlpVi+fDn8/f0hl8vh4uKCiIgIJCUlGXD0REREtUtGRgYmTJiAjh07ws3NDTKZDHXr1kXXrl3x/fffQwhRqf6ys7Mxc+ZMNG/eHFZWVrC3t0fr1q0xe/ZsA20BERE9rTZs2IDRo0ejTZs2kMlkkCQJa9euLXeZ5ORkjBo1Cp6enpDJZKhTpw5CQ0Px3XffabS7du1amcedkiRh48aNOvtPSkpCREQEXFxcIJfL4e/vj+XLl6O0tLSqNpuo0syMPQAyPjs7O7z77rta5W3atNG7jzFjxiA6Ohp+fn4YP3487ty5g02bNiE2NhZHjx6Fn59fFY6YiIiodkpNTcXq1avRoUMHhIeHw9HREXfv3sWOHTswcOBAjBo1CqtWrdKrr7/++gtdu3bF1atX8cILL6BPnz4oKCjAlStX8P3332PmzJkG3hoiInqaREVFISUlBc7OznB3d0dKSkq57fft24fw8HAAQL9+/dCwYUOkp6fj3Llz2L9/PwYNGqS1TEBAgHqZhzVv3lyr7MKFCwgMDIRSqURERATq1q2L3bt3Y/z48Th37pze8ZKoqjGRRrC3t8esWbMee/lDhw4hOjoaXbp0wb59+yCTyQAAQ4cORffu3TF27FgcPny4ikZLRERUe3l7eyMjIwNmZpo/wbKzs9GhQwdER0dj4sSJaNasWbn9lJSUYODAgbh58yYOHDiA0NBQjfri4uIqHzsRET3dYmJi4OPjA09PT3zyySeYPn16mW2vX7+OgQMHom7duti/fz8aNGigUV9WHGrZsqXex55jx45FZmYmdu7cid69ewMA5s6di169eiE6OhqDBw/Win9E1YG3dlYDZXEO7uXfwPXcy7iXfwPK4hxjD6lKRUdHA3iwU1Ml0QCgW7duCAsLQ3x8PC5fvmys4RER0TMmtzgHt/NvIjn3Cm7n30RuDYq7pqamWkk0ALCxsUFYWBgA4MqVKxX2s2XLFvzyyy947733dB5E6FoHEREZX00+NnzhhRfg6empV9v58+cjKysLX331lVYSDXjyOHT58mXEx8cjNDRUnUQDAHNzc8ybNw/AP8ehRNWNv7IMLLMwFVv//j9cyTmrLmts3RID6r0NOwtnI47sHwUFBVi3bh1u3LgBBwcHBAYGIiAgQO/l4+LioFAo0KlTJ626sLAw7NmzB4cPH4avr29VDpuIiEhLeuF9bEiJwR/Z59VlTW1a4HXPSDhYOBlxZOXLz8/HwYMHIUmSXtMhbNq0CQAwaNAgXL9+HTt37kRGRgYaNWqEXr16wdra2tBDJiKiSqoNx4b6EEJg8+bNcHJyQteuXfHrr7/i8OHDKC0tRcuWLdG1a1eYmOi+ZufmzZtYsWIFMjIy4OHhgW7duqFevXpa7eLi4gAAPXr00Kpr164d7O3tedcTGQ0TaQakLM7R2lECwJWcM9j695d4pcFkWJkZ/4fu7du3MXz4cI2ynj17Yv369XB2Ln+Hnpubi1u3bqF58+YwNTXVqvfx8QEAPnSAiIgMLrc4RyuJBgB/ZJ/HhpQYvOk9DooaEHeBBw8dWLp0KUpLS3H37l3s2rUL169fx8yZM9WxszwnT54EACQkJGDSpEkoKChQ17m4uGDz5s0ICQkx1PCJiKiSasuxoT6Sk5ORlpaGtm3bYuzYsfjqq6806lu1aoUff/xRZ4Js37592Ldvn/rfZmZmmDBhAhYtWqSRfFMdP+qKiZIkoXHjxjh58iSUSiWsrKyqatOI9MJbOw0otzhTa0epciXnDHKLM6t5RNrefPNNxMXF4d69e8jKysKxY8fQq1cv7NmzBy+++GKFTw/LzHywDXZ2djrrbW1tNdoREREZSnZxllYSTeWP7PPILs6q5hGVLSMjA7Nnz8acOXOwcuVK3L59G4sWLdL7AQF3794FAIwfPx7vvvsurl+/jnv37mHZsmXIzMxEeHg4bt26ZchNICKiSqgNx4b6UsWgU6dOYcOGDVizZg3S0tLUT/A8ffo0Bg4cqLGMlZUVZs6ciTNnziArKwt3797Fjz/+CB8fHyxZsgQzZszQaM/jTKrJmEgzoPyS3PLrS5XVNJKyffTRRwgODoazszNsbGzQvn17/PTTT+jcuTN+/vln7Nq1y9hDJCIi0kteSflxtaL66uTl5QUhBIqLi5GcnIyPP/4YM2bMwMsvv6zXgwJKS0sBAH379sUnn3yCevXqwdnZGePHj8ekSZOQmZmJr7/+2tCbQUREeqoNx4b6UsWgkpISzJkzB8OHD4eDgwO8vLywatUqtG/fHsePH0dCQoJ6GVdXV8yaNQsBAQGwsbGBi4sL+vXrh4MHD8LJyQlLlixBenq6sTaJqFKYSDMgS1NF+fUmNfMSVBMTE4wYMQIAkJiYWG5b1RmCss4EZGVlabQjIiIyFLlp+XG1onpjMDU1hZeXF6ZNm4a5c+di27Ztek2erIqrL774olZdv379APxz+ycRERlfbT021OXhY7snjUNubm7o3bs3CgsL8csvv2ito6LjTNWVaUTViYk0A1KY2aGxdUuddY2tW0JhVnOTS6q50ZTK8s+MKBQKuLu7Izk5GSUlJVr15d3bTkREVJVszGzR1KaFzrqmNi1gY1azf2yrJlRWTbBcniZNmgAA7O3ttepUZXl5eVU1NCIiekK1+djwUY0bN1bPj10VcUjXsWd5c20LIXDlyhV4eHhAoSg/QUlkCEykGZCVmTUG1Htba4epejJLTZ5M8vjx4wAe3HpSkeDgYOTm5uq8em3v3r3qNkRERIakMLPG656RWsk01VM7a8qDBspy8+ZNAA8mXq5I165dAQAXLlzQqlOV6RPDiYioetTmY8NHyWQyBAYGAqiaOHTixAmt9qoH5sTGxupsn5GRwWNMMho+tdPA7Cyc8UqDycgtzkR+qRKWJlZQmNnViB3lhQsX4OHhoXUWISEhAUuWLIFMJsOAAQPU5ampqUhNTYWzs7PG0zzfeustbNy4EVFRUdi/fz8sLCwAAAcOHMDevXsRFBQEX1/fatkmIiJ6tjlYOOFN73HILs5CXokSclMr2JjZ1pgk2pkzZ+Dt7a015UFaWho++OADAECvXr3U5WXF3hEjRmDhwoX44osvMGLECNStWxcAkJ2djfnz5wMAIiIiDL05RERUCTX52LCyxo4diyNHjmDWrFnYuXMnZDIZAODixYtYu3YtbGxs0LNnT3X7EydOoFWrVjA3N9foZ8mSJUhMTISfnx8CAgLU5b6+vggKCsKhQ4ewa9cu9O7dGwBQVFSEqKgoAMCoUaMMvZlEOjGRVg2szKxr5M5x8+bNWLhwIbp16wYvLy/IZDL89ttviI2NhYmJCb766is0aNBA3X758uWYPXs2Zs6ciVmzZqnLQ0NDERkZiZiYGLRq1Qp9+vTBnTt3sGnTJtja2mLFihVG2DoiInpWKcysa0zi7FFr165FTEwMQkND4enpCYVCgZSUFOzcuRM5OTl4+eWXMWTIEHX7smKvt7c3Fi1ahAkTJiAgIAAvvfQSZDIZdu7ciWvXruGtt95Ct27djLCFRERUnpp6bAgAMTEx6gcEnD9/Xl2mmnIgPDwc4eHhAIBXX30VW7duxZYtWxAQEICwsDBkZmbi+++/R35+Pr755hs4ODio+546dSouXryI4OBg1K9fH3l5efj5559x+vRpODg4YP369ZAkSWM8K1asQGBgIF566SVERETAw8MDe/bswblz5xAZGYnQ0FDDvyhEOjCR9gwLDQ3FH3/8gVOnTuHw4cPIz89HnTp18Morr2DSpElo166d3n2tXLkS/v7+WLlyJZYtWwZra2v069cP8+bN49VoRERE/zNw4EBkZmbi2LFjiI+Ph1KphKOjIzp37oyhQ4fi1Vdf1TqQKMv48ePh5eWFRYsWYePGjSguLkazZs3wwQcf8Cw9ERFVWkJCAtatW6dRlpiYqJ7Cx8vLS51IkyQJ3377LQIDA/H1119j5cqV6ls+P/jgA63bLl9//XV8//33OHr0KFJTUwEAnp6emDhxIt577z3Uq1dPazx+fn44ceIEZsyYgd27dyMnJweNGzfGsmXLMG7cOAO8AkT6kYQQwtiDqG75+flITk6Gt7c3LC0tjT0cegTfHyKq7bgfI6rd+B2m2oCfUyIyBu57+LABIiIiIiIiIiIivTCRRkREREREREREpAcm0oiIiIiIiIiIiPTARBoREREREREREZEemEgjIiIiIiIiIiLSAxNpREREREREREREemAijYiIiIiIiIiISA9MpBEREREREREREemBiTQiIiIiIiIiIiI9MJFGRERERERERESkBybSiIiIiIiIiIiI9MBEGhERERERERERkR6YSCMiIiIiIiIiItIDE2lERERERERERER6YCKNAADbtm1D9+7d4eTkBLlcDm9vbwwePBjXr1/Xa/nS0lIsX74c/v7+kMvlcHFxQUREBJKSkgw8ciIiotpr4cKFkCQJkiTh2LFjei+XkJCAKVOm4Pnnn4eTkxMsLS3x3HPP4f3330dGRobhBkxERE+tDRs2YPTo0WjTpg1kMhkkScLatWvLbJ+UlIQRI0bAx8cHcrkcdevWRffu3fHjjz+Wucx///tftGvXDgqFAg4ODujduzdOnjxZ7joiIiLg4uICuVwOf39/LF++HKWlpU+yqURPhIm0Z5wQAqNHj8aAAQOQnJyMV199FRMnTkSXLl1w9OhRpKSk6NXPmDFjMH78eJSUlGD8+PHo3bs3fvzxR7Rt2xYXLlww8FYQERHVPn/88Qc++ugjKBSKSi87cOBAfP7557CxscHQoUPx9ttvw8rKCgsXLkSbNm1w9+5dA4yYiIieZlFRUVi1ahVSUlLg7u5ebtvjx48jICAAGzZsgL+/PyZOnIiwsDD88ssv6N+/P2bPnq21zPz58/Haa6/hzp07GDNmDCIiIpCYmIhOnTohLi5Oq/2FCxfQtm1bbN++HWFhYZgwYQIAYPz48RgzZkyVbDPRYxHPoLy8PHHhwgWRl5dXLesrLc4QpUV/itKCMw/+W5xRLevVx+effy4AiHHjxoni4mKt+qKiogr7OHjwoAAgunTpIvLz89Xl+/fvF5IkiaCgoEqNqbrfHyKiqsb9mHEVFaeL/MIkocz/VeQXJomi4nRjD0lLcXGxaNu2rWjXrp14/fXXBQDx888/6738J598Im7evKlRVlpaKsaOHSsAiLfffruqh/xM4XeYagN+TmunkuJ0UVyYJAoLToniwiuipAbFqH379olr164JIYRYsGCBACDWrFmjs22vXr0EAPHDDz9olKekpAhbW1shl8s1jg0vX74szMzMhK+vr8jI+Od4+LfffhNWVlaiUaNGWseeQUFBAoDYuXOnuqywsFB069ZNABAHDx580k2mx8B9jxC8Is3ARMktiMxJEKk9IdIGPfhv5mSIklvGHhry8vIwe/ZsNGzYEEuXLoWpqalWGzMzswr7iY6OBgDMnTsXMplMXd6tWzeEhYUhPj4ely9frrqBExERlaGo+CZu3R+La7eD8Nfdvrh2Owi37r+NouKbxh6ahk8//RRnz57F6tWrdcbfirz//vtaVwtIkoQPP/wQAHD48OEqGScREVWdkpKbyEl/Gxn3QpCV2g8Z94KRkz4OJSU1I0a98MIL8PT01Kvt1atXIUkSevbsqVHeoEEDNG/eHHl5ecjOzlaXr1mzBsXFxZgxYwbs7OzU5c2aNcPQoUPx559/4uDBg+ryy5cvIz4+HqGhoejdu7e63NzcHPPmzQPwz3EoUXVjIs2AREkmROYMoDBBs6LwCERmFERJpnEG9j/79u1DWloawsPDUVJSgq1bt+KTTz7BV199hStXrujdT1xcHBQKBTp16qRVFxYWBoA/6ImIyPCKSzJwO20KlAWaMUdZEIfbae+huCTDOAN7xG+//YbZs2cjKioKzZo1q9K+zc3NAeh3IoyIiKpPaUkGctPfQ1FhvEZ5UeFh5Kb/C6U1JEbpq1mzZhBCIDY2VqP8+vXr+O2339CiRQs4Ozury1W3bvbo0UOrL13HjOW1b9euHezt7XmMSUbDX1mGJO5rJ9FUCo88qIed7vpqoJrU0czMDAEBAbh06ZK6zsTEBJMmTcJnn31Wbh+5ubm4desWmjdvrvOMuo+PDwDwoQNERGRwJaWpWkk0FWVBHEpKU2Fmal+9g3pEcXExhg8fjqZNm2LatGlV3v/q1asB6D7wICIi4xGlqVpJNJWiwsMQpamAkWNUZcyZMwcJCQkYMGAA+vfvj8aNG+PevXvYunUrPD09sXnzZo32SUlJsLa2hpubm1Zfuo4ZVf+vqnuYJElo3LgxTp48CaVSCSsrq6rcNKIKMZFmSKXZT1ZvYKqJiBcvXozWrVvjxIkTaNq0KU6fPo233noLixcvRqNGjTB27Ngy+8jMfHBV3cOX5z7M1tZWox0REZGhlJZmPVF9dZg/fz7Onj2L48ePq68eqypnzpzB7Nmz4erqiqlTp1Zp30RE9GRKRfnHfqUiG5W/0d94/Pz8cOzYMQwaNAhbtmxRlzs4OKif5PmwzMxMuLq66uxL1zFjZY4zmUij6sZbOw3JxObJ6g1M9chgCwsLbN++HW3btoW1tTW6dOmCLVu2wMTEBIsXLzbqGImIiPRlYmL7RPWGdvbsWcydOxfvvfceWrduXaV9Jycno2/fvigpKcHGjRs1bqchIiLjM5HKP/arqL6mOXnyJDp37gxHR0f8+uuvyM3NxdWrVzFy5EhMnjwZgwYNMvYQiQyGiTRDkpwAiy666yy6PKg3IlV2v02bNvDw8NCoa9asGRo2bIg///wTGRkZFfZR1hVnWVlZGu2IiIgMxdTEGVayEJ11VrIQmJoYN7k0bNgwNGrUCLNmzarSflNSUhAaGop79+5hy5YtCA0NrdL+iYjoyUkmzjC3CNZZZ24RDMnIMaoyioqK8Morr0CSJGzfvh2tW7eGlZUVvL29sWjRIrzyyivYtm0bDh06pF7Gzs6uUseM+h5nqq5MI6pOTKQZkGRqB8lurnYyzaILJLu5kEyNm1xq0qQJAMDe3l5nvao8Ly+vzD4UCgXc3d2RnJyMkpISrfry7m0nIiKqSmam9nBz/EwrmWYlC4Gb42dGnx/t7NmzuHjxIiwtLSFJkvpv3bp1AICOHTuqD0r0de3aNYSEhODmzZvYvHkz+vbta6DRExHRkzAxtYfCYZFWMs3cIhgKh0UwqUXzo128eBFXr15F+/btdd5W2bVrVwDAr7/+qi7z8fFBTk4Obt++rdVe1zFjeXNtCyFw5coVeHh4QKFQPNnGED0GzpFmYJKpO2C35MGDBUqzH9zOKTkZPYkGQH3G+o8//tCqKyoqwpUrV6BQKODi4lJuP8HBwdi4cSMSExMRFBSkUbd37151GyIiIkMzN/OAu9OXKClNRWlpFkxMbGFq4mz0JBoAjBw5Umd5fHw8kpKS8OKLL8LFxQVeXl569fdwEm3Tpk3o379/FY6WiIiqmqmpB6wd/g+iNBWlIhsmkg0kE+dalUQDgMLCQgDAvXv3dNarymUymbosODgYP//8M2JjYzF06FCN9rqOGUNCQgAAsbGxWg/nOXHiBDIyMtCrV68n2xCix8REWjV4kDQzfuLsUY0aNUKPHj0QGxuLmJgYREZGqus++eQTZGRk4PXXX4eZ2YOPSWpqKlJTU+Hs7Kwx98pbb72FjRs3IioqCvv374eFhQUA4MCBA9i7dy+CgoLg6+tbvRtHRETPLDNT+xqROHtUTEyMzvLhw4cjKSkJ06dPR4cOHTTqyoq9qiTajRs3sGnTJrz00ksGHTsREVUNE1N7wNS+Vj1Y4FHNmzeHnZ0dEhMTERsbq/Gk6Js3b+LLL78E8E8yDABGjBiBzz77DPPmzUP//v3Vt27+/vvv+Oabb9CoUSP1lWwA4Ovri6CgIBw6dAi7du1C7969ATy44CMqKgoAMGrUKENvKpFOTKQ947788ksEBgZi1KhR2L59O5577jmcPn0aBw8ehKenJxYtWqRuu3z5csyePRszZ87UmN8lNDQUkZGRiImJQatWrdCnTx/cuXMHmzZtgq2tLVasWGGELSMiIqr9yoq9ISEhSElJQYcOHXDu3DmcO3dOa9mqnouNiIiebjExMUhISAAAnD9/Xl0WFxcHAAgPD0d4eDhkMhkWL16MyMhI9OrVC3369EHTpk1x584dbNu2DVlZWRg3bhxatGih7tvX1xezZs1CVFQU/P39MXDgQOTm5uLbb79FUVERoqOj1RdwqKxYsQKBgYF46aWXEBERAQ8PD+zZswfnzp1DZGQk5wQlo2Ei7RnXqFEjnDx5Eh999BH27NmD2NhYuLm5Ydy4cfjoo4/KfETxo1auXAl/f3+sXLkSy5Ytg7W1Nfr164d58+bxajQiIqIqlpKSAgA4duwYjh07prMNE2lERFQZCQkJ6nk7VRITE5GYmAgA8PLyQnh4OIAH0xV4eXlh6dKlOHbsGHbt2gWFQoGAgABERkZq3b4JADNmzFAvs2LFClhYWCAwMBAff/wx2rZtq9Xez88PJ06cwIwZM7B7927k5OSgcePGWLZsGcaNG1f1LwCRniQhhDD2IKpbfn4+kpOT4e3tDUtLS2MPhx7B94eIajvux4hqN36HqTbg55SIjIH7Hj61k4iIiIiIiIiISC9MpBEREREREREREemBiTQiIiIiIiIiIiI9MJFGRERERERERESkBybSiIiIiIiIiIiI9MBEGhERERERERERkR6e6USaEMLYQyAd+L4Q0dOC+zOi2onfXapN+HklourEfc4zmkgzNTUFABQVFRl5JKRLcXExAMDMzMzIIyEiejyMM0S1m+q7q/ouE9VEjDVEZAw8Xn9GE2nm5uaQyWTIzMxkNrUGysrKgqmpKX+8ElGtxThDVHsJIZCZmQmZTAZzc3NjD4eoTIw1RGQMPF4HJPGM7nWzsrJw48YNWFtbw87ODubm5pAkydjDeqYJIZCbm4t79+7B3d0d9vb2xh4SEdFjY5whql2EECgqKkJmZiZycnJQt25d2NraGntYROVirCGi6sLj9X88s4k04EHgSU1NRUFBgbGHQv8jSRLs7Ozg5ubGHwFEVOsxzhDVPjKZDM7OzkyiUa3BWENE1YXH6w8804k0laKiIpSUlBh7GIQHl6g/y5eIEtHTiXGGqHYwNTXl7ZxUazHWEJGh8Xj9ASbSiIiIiIiIiIiI9PBMPmyAiIiIiIiIiIiosphIIyIiIiIiIiIi0gMTaURERERERERERHpgIo2IiIiIiIiIiEgPZsYegDGUlpbi5s2bsLGxeaYf2UpEVFWEEMjOzoaHhwdMTHiOhnGGiKhqMc5oY6whIqpa+saaZzKRdvPmTdSvX9/YwyAieupcv34d9erVM/YwjI5xhojIMBhn/sFYQ0RkGBXFmmcykWZjYwPgwYtja2tr5NEQEdV+WVlZqF+/vnr/+qxjnCEiqlqMM9oYa4iIqpa+seaZTKSpLn22tbVl0CEiqkK8teQBxhkiIsNgnPkHYw0RkWFUFGs4wQAREREREREREZEemEgjIiIiIiIiIiLSAxNpREREREREREREemAijYiIiIiIiIiISA9MpBEREREREREREemBiTQiIiIiIiIiIiI9MJFGRERERERERESkBybSiIiIiIiIiIiI9MBEGhERERERERERkR6YSCMiIiIiIiIiItKDmbEHQERUHUSpEii9C1FwAChJhSTrApg1hmTqauyhERHRU+J2ahbOX76JP67eRuMGLmjVtB5cnWxgasJz10RE9OTS0nLw9410/HzsCmysLdGpky+cnayhUMiMPbRnChNpRPTUE6V5QMF+iMx/ARAPypRfA2ZNAIdoSKZuxh0gERHVen9eT8XbczYhKydfXWZlaY7/i4pAE+86kCTJiKMjIqLaLjU1Gx/P+wG//fa3uixm9WG8M+4FhHVvwWRaNeLpMSJ6+pXe0UiiqRVfgshZBSEKjTIsIiJ6OqRl5mLG5zs0kmgAoMwvwtTFP+Beeo6RRkZERE+DkpJS7N5zTiOJprL8//bj3r0sI4zq2cVEGhE99URBPLSSaCp5W4DS1GodDxERPV0ysvKQcjNNZ9299BykZyqreURERPQ0SU/PxbYffi2zft+B36txNMREGhE9/Up1H9w8kA+I0mobChERPX0Ki0rKrc8rKKqmkRAR0dNICIHs7Pwy69PScqtxNMREGhE99SSLTmVXmjUDTKyqbzBERPTUsbOxhMxC99TDpiYSXBysq3lERET0NJFbWaBVK88y64M6+1bjaIiJNCJ6+pl5AWb+OiokSLZRkEwcq3tERET0FHGyVyDy5Y46617t9Twc7HjChoiIHp+1whJvRYbA1FQ7hVO/viN8fPjwtOrERBoRPfUkUxdIDssBq5GApHhQaO4PyfFbwMzPuIMjIqJaz8LcDH1DWmDWuN5wd7EFALg4WGPqmy/gtX5tYWVpYeQREhFRbdegvhP+b9lQ+PvXBwDIZGZ4sV8rLPrkVTg72xh5dM8W3degExE9ZSRTN8BmMmA1FEARAAtIZjxzQ0REVcPeRo6wTk3xvF995BcVw8REgou9AuZm/LlNRERPzsLCDL6+bvh41gDk5hQAQsDWVg6FtaWxh/bMYWQnomdHyT2Igt1A3o+AZA7IhwCyzpBMXY09MiIiegqk5uXidNYtrPrtF2QW5qNb/UYY3CQA9a3tIEmSsYdHRES1XF5uPu6lpGLzF3tx7Y+baNDEHRHjw1CvoSvkTKhVGybSiOiZIEpuQqS/DpT8/U9Z0TnAvDVgv6zMZJoovgEU/gxR+DNg1hiSZS/A1B2SJKuuoRMRUS2Qlq/EvBNx2Prn7+qyS+mp2HDxDLb3ewON7HTPx3kvOxdJqfex49wfkJubIzzAD/Ud7OBgJa+uoRMRUS1QUlyC0/EXMXfEKgghAAB/XbqFhB9PYdrKkejUpxXMzE21lsvOycedu1nYe+A3pKcrERrUBL6N3eDC20EfGxNpRPTUE6IEQrlVI4mmVnQKKDoHmL6gvVzxFYj7rwEi/Z+ynC8g2a+AkAVCkswNOWwiIqpFbuRkaSTRVLIKC7DwZDwWd+kNawvNudLuZudg0ve7cPL6DXXZf349i9faBOCd4I5wZDKNiIj+5/6dTCydtEGdRHvYsvf+g6ZtGsK1nuZJm5zcfPy0+yxWrj6sLtt/6AK8Gjhh4dxBcP3fvJ5UOUykEVGNlleSi4zCezidHofc4kw0twtEXXlD2Fo46d9JaRqQv63MaqHcBFh0hmTyz+XQojQdIuN9jSTaA8UQmRMhOe0EzOpWcmuIiKimKS4pxe20bMSf/RO/X7uN5t7u6OLvDTdHW5jpeDpaWfakJJVZF/tXEjIL8zUSaUII7L2YpJFEU/nPybPo07wJHK0YZ4iIngZ3M7Jx4a+72H8qCU62cvRp7wd3B1vYWOl/l0tmajay03N11imz85F+L0srkXYvNUcjiaZy7a/7+G7rL3jrzWCYmzMtVFl8xYioxsorycUv92Ox9/Z6ddmZjMNwldXHMO8PYW/hXIneyjkY0jVvTWk6UHxed3uhBEpSmEgjIqrlhBD4I+UOxizZgvzCYgDAnhOXsHxbAlZOGYjm3u5692VSzhRo0v/+Hpaaq8SGE2fKXOa/v5xFgIcbzEy1b9MhIqLa43ZaFsYu34prd/45Qf/NgVOY9FIQBnRqDmu5fsm0iuba1FV/KP5ime1/2nMOEQPawcWFt3hWlv6n2YiIqllW0X2NJJrK3YLrSEz9EcWlRfp1ZOIIyF8us1qSD9a4Gg0AIIrL71PoPhtERES1x72MXEz96id1Ek0lv7AY76/cibsZOXr3FebpW2ZdL68msJNpxplSIaAsLDuOZRUUoETH7TtERFR7FBYXY93+XzWSaCr/3hZfqThj52wDW0eFzjprOyvY60iI5eTml9lffkERShlnHgsTaURUY53PSCyz7mTafuQWZ+nVjySZQpL3B0y9tCvNOwDmzbXLTWwBE5eyegTMfPRaNxER1Vxp2coyD2Jup2UjPVupd191FbYY7OuvVe4gk+O91l2gMNecH81ObolQ34Zl9vdi8+cgM+PNI0REtVladh62H/2tzPoDZ67o3ZdjHTtM+WI4TB65BFqSJEz6/A041rHTWqZLx7KPWZ5v5QVFJW4tpX8wOhNRjZVfUvZVX0WlBRAo1bsvydQdcPwGyD8Ekb8VgDkkqzcAi+cByQai+G9AZAKSHDBxAExcIdl8BJE5Xrsz+WsPrnIjIqJarbik/DhSXKx/nHGwlONfzweht3cTrDp/ApmFBehevzFeauyHetZ2uK3MRnrBg8Sco8wKrnJrjOzYBjt/v4ScgkKNvjwd7dHWs17lN4iIiGoWIZBfVPadLlnKsq8Ye5SpqQn8O/ng/w7OwLaVB5F84W80aOKOl8e8AHdvF+TkFiAzQ4nCwmLY2FjC0dEaDeo7wa+pBy78cVOjL3NzU4wZGQJraybSHgcTaURUYzW1a4+f7+/SWdfI2h8yE6tK9SeZugGKwYC8NwATSCY2ECX3IXJXALlfA/jfgYx5K0h2iwBZJ0gOGyByFgJFfwCm7pAUbwOyYEgmfMINEVFt52gjh8zcFAVFJVp1lhZmcLCp3FMzneRWCKrrjedd6qJQlMDWXIbC0hLE37qKqcd+wr38ByeI3OQ2+KxjP7R2rostI4fg/+KPYf+lK7AwNcXAVs3xetuWcLPlnDVERLWdlcwCbX3r45fL13XWhwY0qlR/lnIZvJrWxbhPXkV+XgEsrSxgIbPA33+nYe6CH3H58m0AgExmhiGDO6Jfn1b4eEY4dsWew/Ydp5GTW4A2rTwROTwI9evywoDHxUQaEdVYrrJ6aCBvgr/yLmmUm0pm6Ok+DHIz3XMEVEQyeXDZsxAlEHnbgNwVmg2KTkOkj4DksBaAOSTrdx9cpSZZA6Z1IUncdRIRPQ2cbK0wpn8gPt9yRKvu7fBOcLJ7vDijsLCAasmUzFSMPLxZYx6a23nZGH5oI37qNRImZgJ92/ng9cAA2JlbwklhBdtH5lMjIqLayVZhickDgvDGom+1roJu2dADDVwdHqtfC0tzWFiaAwDu3cvC5H99i9TUbHV9QUEx1qw9Ans7K3Ro1whNG7qi5bR+sLWTw1phCWdnnqx5EjwaJKIaR4gioDQV1lIpBnu+i1/T4/Hz/V0oKFGisXUAuru9BhdZFTwxs/QOkLtSd13JdaDoPETWR4D431xskhySw9cQ5i2ZTCMiquXS7mWjsLAYPVr6oL6LPVb8cBR/3c2AZx17vN2/E1r6eEBm/mT7+rziInx14WedkzkXi1KsvnQCuSX52HPjD3X5RL8gvN64LexllbsajoiIapbs9Fwos/LgZGGO/0wdjOU/HsXxS3/BxkqGV4Nbon+HZnC2fbwTNg9LvpaqkUR72Lr1CTAzMcHiT35SlzVrXg8fzh4AZz6t87HxSJCIahRRcgci9xsg77+AyIW1WRMEOczH8w7BEDCFzFQOS9PK3dJZ9sryH8yLVpaSq4CpK6B6qIHIg0gfBcn5J8C0ChJ5RERU7bIylTj18xWsWbYfd25mwM7BCsMndMfn4/rDxNQE5mamcLStmjijLC7EhfQ7ZdZfTL+Lju4NNMo+vxCPTnUaopWMc6QREdVGRYXFSPnjBr6a+h+cT7wEM3NThA0LwgfvvwjJ0hwmkgRHWyuYmlTNsx+Trtwusy4tLRcKheY8aL//9je2bD6OkW+FwtzctErG8KzhUzuJqMYQJakQGZMBZTQg/veggeJLkNJehk3pRdhZOFVdEg0AIAOkcvozcQdK0x4ZZC5QpP/TdYiIqOYoLi7B4T3n8cm0LbhzMwMAkJmuxOezf8DG/zsEhblZlSXRAMDS1BxeNmXftlPf2g738rWfGrrm8nEUlJQ9OTUREdVcN/68g3dDP8b5xAfT0xQXlWBnzCH8q+tcSLmFcLG3rrIkGgB41ncqs87GxhIFBUVa5T/9eArpabqfWk0VYyKNiGqOkptA0S86q0T2XIiSe1WyGlGSClF0GShNheSwBpAPAqD5GGmYOAGSTDuRBgClqQ+unCu5DSEKteuJiKhGSruXjbXLD+isi/3hNDLSyn5adGVkFxQgOSMdSWn3McEvCFNahMDeQvtWzf5ezbHvxkWt8nsFOUjLU+JmZhay8wuqZExERGR4eTn5WD9vG4oKtU+G3L1+H+cTLulYqvKKCotx53YGLl24ARdHa3wwtS8aertotevd0x/79/6mVZ6fV4SCgmLc/fs+0u9lVcmYniW8tZOIagxR9GvZlSXX/neVmnaAqNQ6iq9CZLwDFKuuKjMD5IMg2X4MkfXhgyLTupBs50BkzdHdiakLxL1ugGQGyCMAxQhIpu5PNC4iIjK87Kw85Gbn66wTQuDW9TTU83R+onXcyc3BvITD+CnpIlQzo7Wq447PA8Mx6dgPSCtQwsrMHB+27o69Ny5CWaJ9pUB7Z0/M+GEfjl79C10aeWHqC13g7eQAM1PegkNEVJPlZuXh7OELZdYf2f4LQga2h6nZ4+/Ps7PzEH/gAlYu24f8vAcxxNHZGuOm9MS2Hadw5tx1SBIQ1qMFPOs7Yct/ftbqw8vbBacP/o4vJ69HfV83vDnzZTTv6AMb+yefs+1ZwEQaEdUYkokTtKdjVjH/39/jEyW3IdKGAqV3HyotBvK+hTB9F3DcCkmSABNnoOgMUJKs3YlFO6DoEoBCQBQCyrUQhUcBh68hmdZ5ovEREZFhWViU/9PXyvrJnpapLCrCkuOJ2JGkeZXZ6Tu3MD8+Hv8New1ZxflwV9iiVJRi7rk9Wn3YW8jR2rYBVlw9DQCI//MaTqT8ja2jXkMjZ8cnGh8RERmWiakEa3sFstN1X+HsWMcOJqZPdmPglUu38fmnuzTK0lJz8MnMbfi/NZFIz8qDi4sNZOZmmPH+Juh43g1efaUd/vvRdwCA65dvY/Zr/4dJXwzDC692hClP2lSIt3YSUc1h3hJlJsss+wImT3gAUXzlkSTaQ3JXQzJ1hGTe7EFCzKIDJLulgInHg3pJDsiHQLIaCpGz7JF+LwNF2rfmEBFRzWLroECT5ron8bdzsIKrm90T9Z+qzMXWi7qvRLh4PxVFJaVo41ofdRV2cLeyxeauw/G804PxSAC61GmIxa1fwoJd8RrL5hcX48v4Y1AWal+9RkRENYeDqx0GvBNWZn3vESEPTtw/puysPKxdeUhnXVFhCY4c+gOtWnqiXl1HuLjaYu6nEejZO0D9UIH6DZwwdWpvnN51Gjevah4XRX/4HdJulfMgNlLjFWlEVHOY1oFk/wVExjgAJQ+VN4JkMxGSifb8MpUhist5SIDIAsQ/89BIJnaAvDdg0QYQeQAERPa/ITLeBaA954HIj4VkGfxE4yMiIsOys7fCv+YNwNTINUi7l60ut5RbYNbnr8HJ1eaJ+s8tKkJxaWmZ9bdyctDM5cHVy2Ympmhq74avOkUgq+hB/Pn5yl94b+MeZOqYFy3xagqy8/NhZfFkV2cTEZHhSJKETv3b4PjeszgZe06jbuScCLh5Pdk0NQX5Rfj7r/tl1l/+4xaKCoth/r8rsF1d7TB+UhjeGN4FxcUlyMtS4tM3V+L6Ze0nfeZkKJGVnguXerz6uSJMpBFRjSFJMgiLQEjOe4GCBIjS25AsOgBmjarktknJrFHZt45KtoCkfUuPZOoKABAld4DCn6EriQYAMC37aTlERFRz1PN0xufr38KVizdx8fzfqO/tguatPOFSxxYmT/gUNYW5OcxMTMpMprkprLXK7GVWsJdZoVQInP/7F51JNACwtpQ98fiIiMjwnNzs8d5Xo3Dnr3s4sfssLK1l6NC7FZzc7aF4widDW8jMULe+Ey7+fkNnvc9z7uokmopMZo46/7vi+ref7+tMoj3cP1WMrxIR1SiSiSVg0gAwG/LoczSfnFljwMRV9+2dipGASTlniEycAKvXgNz/01ktWfatokESEZGhubjZwcXNDh1DmlZpv85WCgx4zg+bL2g/Ia2JkzPqWGsn0lRMJAmvtvbHd6d/11k/rF0rOCue7ACMiIiqh4OrLRxcbfFcm0ZV2q+tnRWGjw7FtAkbtOrMzU3RLaxFucu71neCtZ0VcjKVWnW+rbxg61R2nKJ/8LQWET0zJFN3SI7rANOHA5opIH8DknwQJKnscwuSZAbJ6lXALEC7zmYGwKd2EhE986zMzTG5XSf0bdxE42RQgKsbovuEw8Wq/Keh1Xeww9td2muVd/RugLCmPk80rw4RET0dfJ5zw/h/9Yal5T+3+js6WWPB569VONenk5sdZv5nHCwsNacJsHexwb9WvAk7pyeb4uBZIQmh6xkOT7esrCzY2dkhMzMTtra2xh4OEVUzUZIKlKY9mPvMxAEwcYJkot+jnkXJPaD4KkTBfkCyh2QZ9mBuN5NnO+hwv6qJrwfRsy27oACpeUpk5udDYWEBJ7kcjnL9ribLzMvHnewc7LlwGTmFhQh7zgeejvZwttYvTj2tuF/VxteE6NlVVFiMtLQcZKQpYWpqAnsHKzi52Oh1wqW4qBj3bqTj14O/469Lt9CsQ2M0bdMQrvU5VY2++1Xe2klEzxzJ1BkwdX7MZV0AUxdIMu0rBoiIiADARiaDjUz2WMvayS1hJ7eEr+vjxSkiInr6mVuYoY6bPeq42Vd6WTNzM7h7uaDvmyFVPq5nBW/tJCIiIiIiIiIi0gMTaURERERERERERHrgrZ30VMgtzkR+iRISTGBlZgNLUz7VioiIqo4yvxAZWXkoLimFtZUFHO2e7fmqiIioapWUlOBeRi4KikpgaWEKZztrmJryuheimoiJNKrVikoLcSsvGT/eWIVb+cmQIMHHuhX61H0TzjIPYw+PiIieAjfvZmL5xngc/iUJJaUCXh6OeG94NzRr5Aa5pYWxh0dERLVcWmYutsefx/o9vyInrwB2CksM7d0WfTv5wdGWJ26Iapoal+KOj49Hv3794OHhAUmSsH37do36rVu3IiwsDM7OzpAkCWfOnDHKOKlmuF9wC9F/RuFWfjIAQEDgcs4prPpzBtIL7xl5dEREVNvduZ+NcfM34+DxyygpffCg82s30zB+wXe48leqkUdHRES1nTKvEKt+PIYV244iJ68AAJCZm48vvjuCDXtOIq+g0MgjJKJH1bhEWm5uLgICArB8+fIy6zt16oRPPvmkmkdGNU1BSR4O3NmIUpRo1eUWZ+Jy9q9GGBURET1N/ki+jVv3srTKhQCW/TcOGdl5RhgVERE9Le5nK7Et7pzOum/3nUZalrKaR0REFalxt3b26tULvXr1KrP+jTfeAABcu3atmkZENVVBqRLXcv8os/5S1q943qEbzEzMq3FURET0NPn5THKZdb9duYWCwiIA8uobEBERPVXSs5QoFUJnXXFJKTJz8lHXpZoHRUTlqnGJtP9n767D466yBo5/x93jVnf3lnqRUqzFbaG4Lr6L7bILuyzw4u7uLsWLlRYKdXe3eDLu9v5RGgiZSdt0ZjJJ7ud53vd59ncmM5dp8pNzzz03HYLBIMFgsOF/u1xNZ5aFtkeKHL3chC+a+N/TpMghFIghUcVEo05BENJKXGfar8JcY9KYxaAlFosTCkdQKjrELZUgCK1IXGvaJ42q+Ul/hVyG3xdCoxU9OQUhW3SI7MLdd9+NyWRq+L/S0tLWHpKQAnqFiQm5M5LGe8rG8Y/b3uetd36lotJBPMlMjyAIwqES15n2a/KInkgkiWMnHjGI1z5dxL0vfsumHTX4AqKPjSAI6SOuNe2TxaChNM+cMNa9JIdtayv4703vsGj+Zuz1nswOThCEhDpEIu2WW27B6XQ2/N+uXbtae0hCivQwDGGweWKjYxIkTDKewzefbGfFyl28+NJcLr/iZXbvrm+lUQqC0N6J60z7lWcz8N8rj0UmbZxNG9m/E12KbHz07Qo+/3ENM299lQUrthOONO3bKQiCkAriWtM+5Zj13H/1dGxGbaPjeRY9180Yx0sPf8OSX7fyz2ve4NmHZuO0e1tppIIg7NMh1iGoVCpUKlVrD0NIA73CzDFF5zM+dwbbvGuQxhWo3cV8+eEGZn+5quF1LneA516Yw003HodO2/R3weUPUOP28uvmncTjMLp7GXlGHUaNOpP/OYIgtFHiOtN+aVQKxg3txrv3X8CKjXtwuv2UFljYvqee/zz1ZcPr4nG489mveeP/ZlKQ03Q5aDgSpdruYdXmcqrtHgZ2L6Ikz0yOWZfJ/xxBENowca1pv7oW2XjlX2ezZU8t28rrKTDpwBvh8Ts+pb729yq0779axQmnjcRkSXztqKn3sH1PHRu2VlFSYKZ31wLybAak0iSl1YIgtEiHSKQJ7ZtObkQnN1Kg6cRnXyzjoYdnkWgV5/xfNuN2B5ok0hxePy/8uIgX5zXe5XPmuKFcPGkEFl3j2SFBEAShY1GrFBTnmynON7OjvJ6Zt75GMBRp8jqfP0SN3dMkkRaORFi2YQ/XP/wxofDvFWs9y3J54NoZ5FsNaf9vEARBELJbvtVAvtVAn6JcrrvwBSr2OBK+7pvPltNnQEmT43uqHFxz5/uUVzsbjuk0Sh677VR6dskXyTRBSKGsW9rp8XhYvnw5y5cvB2Dbtm0sX76cnTt3AlBfX8/y5ctZu3YtABs2bGD58uVUVla21pCFLOJ0+BMm0YC9PdISBNdX1DRJogG88tNS1pXXpHqIgiAIQhsWDEUSJtH2iceaXmdq7F5uePiTRkk0gI07a3j2w/kEguGUj1MQBEFomyLRGPb65Ms3o9FYk2MuT4C7n57dKIkG4PWHuOGeD6mxi95qgpBKWZdIW7x4MUOGDGHIkCEAXH/99QwZMoR//etfAMyaNYshQ4Zw7LHHAnDGGWcwZMgQnn766VYbs5A9Ro3qljQ2fFgX9IbGSzV9wRAvJUii7fPi3MV4g4fePLq21k1FpYPaWrfY9EAQBKENMxs0WIyahDG1Sk6uVd/k+NptlQTDiZNvX/26nnq375DH5fD52VPvpMLhJpDkswRBEITsZzRqmHhkv6TxI44d1OSYw+Vj6drEPfPsLj9VtYe+w6s/FKai3kV5vROnL3DI7ycIbVnWLe2cNGlSs4mG8847j/POOy9zAxLalNwcA9OOHsiXX61sdFyjUXL5pYej1zVOpAUjUeo8yR9g6j0+QpEouha2o3A6ffzy62ZeemUeNTVurFYd55w9lgkTemERfXEEQRDanByLnlsunspND37cpMj5hpmHY0twbq91JK8sCEeiRCJNqwsOVCAcYVNlLXfP+oEVOytRyWVMH9aXS6aMpNDctFebIAiCkN1UagVnnD+eX+duxOlo/JwyclwPSspsTX6muUpp2Fuxdij21Dl56stf+HLpBiLRGCO6l/D3kybSLd+GXC47pPcWhLYo6xJpgnAoTCYtF10wkcMO68Hb7/yK2x1g+LAunDh9GAUFpiav16uVjO1Rxrry6oTvN6ZHJ/RqZYvGEgpFmPXZMl56eV7Dsfp6L488NpuKSgczzxmHRtOy924P4vEoxKohVrd3ya3UBrI8JBJxWhIEIXtJpRKG9yvl5f+dw6uzFrB5Zy0lBWbOmz6azsVWlIqm57D+3QqTvl9hjhGNStHi8WypquPsJ98m+tuS0mAkyrsLVrFo625euPhk8k0du/+a3e7F4fARCIQwGbVYrLoOfe0VBKFtKCqx8ujLF/H1rGX89MM6NBolJ541mkHDOmOxNa18NujUaDVKfP7EK2lKCswtHkul3cWFj71Hhd3dcGzR5t385cG3eefvZ9O1oGliryPxugM4al247T40OhXmHD0mW8e+9nYE4olVaHcsFh1jx/Rg4IASIuEYer0KRYIHGwCFTMbJIwbw1q8rmyzh1CoVnD5qIApZy2ZZ6us9vPHmLwlj73+wiBOOG9Jhb+bjMT+EFhJ33ghx+96DEgMS43+JqyYgkTa9QRAEQcgWGrWSnp3z+MclR+MPhlArFWibOZ8X5RgZ0K2AVVua9nO95oyJ5Fpads5z+QI88MW8hiTaH22rsbO+vKZDJ9J276rnjjs+ZOvWvf1OpVIJxx03hHPOHYfVKqrCBUHIbgXFFv5yyUSmnz4KqUyK0ZS4rQBAjlXHRacexqOvzmkSmzKmJ1ZTy895izbtbpRE2ycUifL0V79y+5lHolV1zGea+monL9w5ix8+XNSwqq7HwFJuefoCCjvltPLohHTKuh5pgpAqBr0Gi0WXNIm2T4nFxBuXnc6obqUNx0Z2LeWNy8+g2NLyZTFOp59QkjLrWCxOvT35Up92L7qLuOPS35NoAHE3cee1EN3WasMSBEE4GBq1AqtJ12wSDcBq0nH3lcdzypRBqH67JhXnmrj3qhMY0besxZ/vC4dZvG130vh3aza3+L3butoaF3+/8a2GJBrsvfbOmrWUWbOWEP7Txg+CIAjZSCaTYbbqmk2iAchlMo6e0JdbLj2KHMvepJlWo2TmiaO4duZkjHp1sz+fTCQa5ZsVm5LGf92wE7c/2KL3buuCgRBvP/I133+wsFFrqk0rd/Gvc56m/k8bPwjti6hIEzo8qVRCj4IcHj77OFz+IBDHqFFj1LTsggPgdgcIR5q/SVcdwlKetiweDxH3vQYk7gkU9zwDpv9DIhXVAoIgtB95VgPXnjmRc44ZQSQaRaNSkGNuefVtNBbD5w9h1Kixe/0JX5Nr6LjVvXv22KmuStxc+4P3FzFt2iDy85u2fBAEQWirzAYNx03uz+jBnQmEIijlMmwWHfIWrq4BcPoCmHXJk3gmnRq5tGPW5tir3XyVZPXR7i1V1OxxYM0T15n2qmP+1gtCAkaNmhKriRKr+ZCSaADrN1SwYWMlZQmagQLk5RqxmLWH9BltVtwPkXXJ45HNe18jCILQzigVcgpzjJTmWw4piQZQWeviqTfmMn1In6SvmTa41yF9Rlu2c2dd0pjPFyIYDGdwNIIgCJkhkUjItRooLbCQn2M8pCSa3evnxg++ZOKArklfc87kYdiMHXPy2+8NEG5mk4eq3cmvQ0LbJxJpgpBiTqeP51+cw/vvL+TyS6dgNDaexdFpVfz3PyeRk9NB+9ZINCDvnTwu77b3NYIgCEJS85Zu4adlWxlaVMig0oIm8dtmTKHA1HEr0kqTTGTB3p28O2pVuCAIwoGq9XiZv2UXi3bt4bwjhjeJj+vbmSkDurXCyLKDRqdGoUy+wC+/pGNvwtDeiaWdgpBioVCEnTvrCAYjPPn0d1x/7dHU13vYuauO4iIL3brl0bVLXmsPs9VIJErQziTuf59Eyzsl+svEsk5BEIRmxONxVm4oJx6H/z7xJVeePZFzxwxh2a4KdColw8qK6FZoQ69WtfZQW01xsYW8PCPV1U2Xd5588gis1o6bZBQEQTgQtR4fAK/8spQzhg/kscums2xLOYFQhCHdi+leYCOng1ajAVhyDRx91hg+fXlek1hJt3xyi82ZH5SQMaIiTRBSTKGQUVRoAWDXrnpu/89HvPf+QrZtq+XjWUtZu7YcmayD/+nJSpCYnwaJ+fdjEgMS00Mg69JqwxIEQWgLJBIJvX+bkAkEIzzw4nc8+Mx37FxVzbL523jq9XmoZB17rjQ318i9951J586/75omlUo4/oQhTJ8xFIWi5cudBEEQOgLrH3qjvb14JVe+/Sm/7NnF6vpq/vHpbGQySSuOrvWpNErOuGYqU04egUTy+3fRfUAp/3ntMtEfrZ3r2HdZQquKx6MQD4NEiUTSfhJLZrOO82eO5193fNhwrKLSSUWlE4VCxsQJzSxr7CAkUg1x1TgkOZ9ArA7icZDaQJaHRCJOS4IgpE4gFEYukyFvZxMYU0b25PkPfyH02+6TLm+AZev37uB5z7UnYDF10D6cf1BaauX+B87C4fARDIQxGDVYrTo0+9llVRAE4WCEQxGIg0LVvu5hc/Raehfksr5y7+7HkViMFbsrATiyb3esOnGdseaZuOJ/p3HWdUfjcfhQa1WYbHrMHbWFTwfSvv7ahTYhHvNDdA9x/9sQ2QKKIaCZDrLitCZR4vE4dXUewpEoCoWMHFv6TnADBpRw4QUTeeXVeUQie5cvms1abr9tBnl5xrR9blsikchBVrj3/wRBEFKsvM7J3NVb+XHlVvLMek6bMIiyXDMG7aFtJrM/dq8fXzCETCrFqteilKen8ik/x8gjN5/CrY/Mwu7au0GLQi7jwhNHM6R3SVo+sy2yWHRYLB136ZEgCOlTX+Nmy/oKPn9vEbF4jGNOHkHPfsVYc9ObRPEFQri8AeJx0GuVabuu2fQ6HjvreK55+zPWllc3HB/XvRO3HjMJQwduH/BHOoManSG99xZC9pHE4/F4aw8i01wuFyaTCafTidEokhqZFI+HIfgjccdfadwfS43E+hoS5aC0fK7D4WXuTxt5/fWfqa3zkJdr5LyZ4xg9ujvmNM3aBwIh7A4ftbVulAo5FquOHJsBqbRjl0EL7ZM4rzYmvo/WtbPaznkPvIPd03gH4GtmjOPU8QPRpeHm3x8Ks768hv/7ZA6rd1ehUcg5eVR/zps4nAJzeh6qYrE4NXYPdU4v4XCUXIseq0mLWjTSF9ohcV5tSnwnraeuxs39//yAZb9uaXS8/9BO3PJ/p2FL08T57moHT330M98t3kQsFmN0v85cc/oEOhdakUnTU3ld5/FR7/Xh9Aew6rRYdVrMaZ6UEoTWcqDnVVGRJmRWrJq48+80bTIfIO78G1jfRCLLTelH+v0h3n1/IW+/s6DhWHWNi3vv/4ILzp/AaaeMRNnMjistpVYrKSxQUlhgTvl7Cy3jjbhwhevZ6lmFTKKgu2EgerkZtUyUpgtCe+HxB3ngw7lNkmgAj3z8E5MGdktLIm1DeQ0zn3yX2G/zk/5whNd/Ws6SreU8eeEMctPQkFkqlZBvM5Cfxgpr4eAEQmFqnF6Wbt6Dw+NnWI8SimxGrAZxnRGE9mTt8p1NkmgAq5fuYNmCLRxx/JCUf2ZFrYuL7n6HOqe34dgvq7ezfNMeXv/3XygrsKT8MwFsei02vTiHZZNKu5tNe2rYXF5H9yIbPYpyKLCKZHomiUSakFnRcoh7k8R2QMwOKU6k2R0+3nt/UcLY62/M54gpfSkQya52zxN28GXFKyx3/Njo+NEFMxluPRyNXOzgJgjtgdMb4KfV25LGF2zYSed8a0o/0+71c88ncxqSaH+0rryabTX1aUmkCdnFHwwzb/VWbn3pS6Kx338XRvQs4X/nTSPXLK4zgtAeeD0BZr31a9L4rLcXMHJCL4wpXPUSj8eZu3xLoyTaPv5gmDdmL+H6MyahSkNxgJBdtlbUccmj71Pn8jUcsxq0PHvNKXQrtLXiyDqW9tV5V8h+8ch+XhBN+Ufa7V6i0T9XwO0VCkVwOJtWLQjtzxbPyiZJNICvKl+hPlTZCiMSBCEd4vF4woTWPqHQ/q5DB88fDLF6d1XS+M/rt6f8M4XsU+30cMuLjZNoAIs27uaDn1cRiab+HkcQhMyLx+JEwsn/nsOhKPFYarsn+UNh5izdnDT+y6rtuH2BlH6mkH3qXF5ueO7TRkk0gHq3jxue/ZTaBIlWIT1EIk3ILFkJkKR3i9QG0tSXJO9vZkapTE8jaCF7eCMu5tZ8nDT+S92XRGOpf7gWBCHz9BoVA7sUJI2P6t0p5Z8plUrRKJJfa2xiWV+HMGfFlqRJ3De/X0ad25cwJghC26IzqJlyXPK+zlOOHYjBpEnpZ8qlUsyG5O9p0KmQy8QzTXtX7/axvcqeMLaj2o7dI64zmSISaUJmSXNAf33CkMR4B0jzUv6RZrOW/CQNP0tLrWnbbEDIHtF4BG/EmTTuDtuJpaEaUhCEzDPrNdx02hQUCXbLPGZEb/LSsLzOqtdyyugBCWMSCUzo0zXlnylknyq7O2nM7Q8SS3GFiiAIrUMikTB6Ym+Kypq2CcgrNDFx6gCkKW78r1TIOeOI5H3Xzjl6eLOJNqF9CDZTCQkQCIvCgEwRiTQhoyRSDRLNyUgsL4JiyN7EmXI8Eut7oByLRJL6X8mcHAP/ueNkdNrGzaWNBjW333YiVqvoWdLeqaVauur6J433Ng5DLlFmcESCIKRTj6Ic3r75bI4Z3ptck46exTncdd40rj9pAmZ96h80lHIZ500YRt/ixpNBEgncdfpU8kyiP1pHcFjfzkljfTvlo1aK3VQFob3ILTBxz3Pnc+4Vh1NQbCG/yMxZl0zi/pcuIq/QnJbP7FRo5dxpI5ocnzKsByP6lKXlM4XsYtZrkCdJ0sqlUiw6kUzNFEk83kwjkXZKbBWdHeJRBxAEiRaJNL07jsVicaqrXaxes5ut26rp2b2A3n2KyM8zIpFI0vrZQnaoDuzi8U03EP1Tnz6dzMTlPf4PizL11ZAdiTivNia+j+zgD4bx+IPIZNKM7JpY4/KwrdrO/I3bseq1TOjTlTyTDq1SJOo7gmqHh4sffo+d1Y5GxyUSeOG60xjSvbh1BtZOiPNqU+I7aX3RaBRn/d7ldCaLFlmCauhUcnkDVNs9/LhsM6FIlImDu1FoM2IxihU2HYE/GOapz+fz2ndLm8TOnjKEK44bi1YlJm0OxYGeV0UiTVx0BKFDiMYiVAZ28Ome59jl34gECb0Mw5hWdB45qqLWHl6bJ86rjYnvQxA6pop6F098Op+vF28gEo3RtdDGTadNon/nArQqkVA9FOK82pT4TgSh46l3+/hswVpemr0IhzeASafm/KNGcPyovhmZNGzvRCKtGeKiIwgdlzfiIhD1IUGCVq5HLRNLrlJBnFcbE9+HIHRcgWCYeo+PSDSGTq3EZhTXmVQQ59WmxHciCB1TNBaj1uklGI6gVMjJNemQpbgvX0d1oOfV5rczFARBaGd0ciM6ubjZFARBENJDrVJQpDK19jAEQRCEdkomlZJvSW9rJKF5Im0pCIIgCIIgCIIgCIIgCAdAJNIEQRAEQRAEQRAEQRAE4QCIRJogCIIgCIIgCIIgCIIgHACRSBMEQRAEQRAEQRAEQRCEAyASaYIgCIIgCIIgCIIgCIJwAEQiTRAEQRAEQRAEQRAEQRAOgEikCYIgCIIgCIIgCIIgCMIBEIk0QRAEQRAEQRAEQRAEQTgA8tYegCAIQrbxRdyEYgEkSNDJTcilitYekiAIgtCOBMIR7D4fcUCvUmFUq1p7SIIgCEI7EovFqXN4iUajKBVyrGZdaw+pXRGJNEE4BPF4nNo99dSV1+Nz+cnvlIs5z4TOpG3toQktEI6FqArs5Mvyl9juW4dComK49QjG5U7HrMxp7eEJgtBB1ft91Pi8VPu82DRacrU6crXihrit2u1w8uTPC/hk9Xoi0SjjunTixsMn0M1mQS6TtfbwBEHogHz+EHaHl8pqFyqlnNwcAzarHrlMLGBri+odXr6Zt47XPl6I3emjtNDCFedMYHDfEox6TWsPr10QiTRBaKFoNMqWZdu57YR7qK90ACCRSDjm4sOZecfpWPLNrTo+4eDVBHfzzOZbiBEFIBwP8kvd52z1rOK8rv/CqLC28ggFQehoyt1urv7mMxZX7mk41seWyzPTplNmNLfewIQWqXC5OeeN99njdDUcm7dtB4tefouPLzybrjZxnREEIbMcTh/vfrKYtz5cSDQWB8CgV3PnLdPp36cYhVwk+NsStzfAM2/N47PvVjcc21Vh55Z7P+GWy6cybVI/ZCJBesjENygILVSzq46/H35HQxIN9laoff7st3zz2o9Eo9HWG5xw0PwRD1+Wv9KQRPujquBOKv3bMz8oQRA6NGcwwC1zvm6URANYV1fD5V/NotbnbaWRCS316/ZdjZJo+wQiEZ78aQG+ULgVRiUIQke2aNl2Xn9/QUMSDcDtCfC3f79PVXXT85WQ3exOX6Mk2h898dqP1NrFvUMqiESaILTQul834nP7E8bevXcW9RWOzA5IOCShWIBt3jVJ42tdCzM4GkEQBKjz+/hx1/aEsTW11dT5fZkdkHBIwpEoX67fmDQ+b9sO3MFgBkckCEJHV+/w8tLb8xPGwpEo837dlOERCYdqZ3l90pjLE8DtDWRwNO2XSKQJWS0UiuB2BwiHs6+6a8fa3UljzloXkVBkv+/h9QWx270Eg2IGurVJJBLUsuS97fRyUwZHIwhCpkSjMTxOHwF/qLWH0oQ31PyY7IH93wwHIxFqfV6RoMkCUqkEmzb5dcakViGTSjI4IkEQMsXrDeL1Zt95OBKJUVntTBrfsr16v+8Rj8ep9/qo94rJnWyg0zS/eY1YqpsaokeakJX8/hDl5Q4++GgRO3fW0bNnAdNPGEphgRmlMjt+bXsO75Y0lluag0KdfKdHt9vP1m01vPHWL1RVOenTu4gzThtNUVH2/Pd1NDq5mVG2o5lT/X7C+EDzuAyPSBCEdIrH41TtrmfOrGUs+G4N5hwDJ144gc49CzFasqORv1GlQiqREIvHE8ZzmknKhKNRdrmcvLhsKQt27yZPp+Oy4SPon5ePRSMaDbcGmVTKmUMH8sHKxNXP548cRo4uO373BEFIjdpaD6vX7GbWrKXEYnGOmTaQIUM6kZtrbO2hAaBUyOhSlsOmrYkTZgP6ljb78xVON1+t28hHK9ciQcLpQwdweM9u5Bv16RiucAAK800YdCrcCRK3/XsVYjaKe4BUEE/sQtYJh6MsWLiF//7vE/Y9O6xdV86nny3n3ntOZ8jgTq07wN/0GNIFa4G5UY+0fc6/8wxyihI3DPb7Q3z51UqefvaHhmO7dtXz3fdruf/eMxg0sCxdQxaaIZPIGGmbyhb3Cnb5G5exH190CUaFrZVGJghCOuzZVsP1Jz+K2/H7DPqv36zm1Esnc9rlh6PPgt2XbRodJ/bsywcbmiZexpd2wqZJPsb1tTWc9t67BKN7q6O32Ov5ZfcuLhs2gstGjMSoan7GWkiPThYTfx03msd/+rXR8fFdO3FEz+QTdIIgtD21tR7uvPMTVq7a1XBs5cpddOuay113nZoVyTSzScul507gb7c3nUjW61SMHNI56c9WON2c9/r7bK93NBy748vveXvJSp49cwYFRkMaRizsT45Fz//ddCLX3vk+oT+skLKZdfzjimmYDCKRlgoikSZknfp6D/c98CV/noCPRmPcc+9nPPHoueTktP6JObc0h/t/uJ27z36UTUu3AqDRqzn39tMYOW1I0p+z2708+/ycJsej0Rj3PfAFjzz0F2xWMYvTGkwKG2d3vpnaYDnrXYvRyg30MY7EpLCiambZpyAIbYvXE+D5u2Y1SqLt894zP3D4SSOyIpGmVyq5cfR4ZBIJH2xYQzQeRwJM7dKDf4+fgkWd+Ga43ufj1u++bUii/dHTSxZxSt9+IpHWSkwaDeeNHMLRfXowe8Nm/KEwR/TsRqnFJKrRBKGdWb1md6Mk2j5bttbw88+bmD59KBJJ6y/n7tOzkJuuPponXvgBz29VTJ1Kbfz7b8dRkJc42RePx/l6/aZGSbR9NlTX8su2XZw4qG86hy0kIZdJ6dezkNcfOo8lK3ewvbyegb2K6dO9gPyc1k/ethcikSZknZpaN/4kvWpqatw4Xf6sSKQBlPYq5u6v/oGzxkUoEMZg1WMtNKNQJl/WuWNHLbFY4mU65eUO3O6ASKT9QW3AQ13ARyAaxqzSkqPSoVMo0/Z5BoUFg8JCF32/tH2GIAity+PwsfD7dUnji35cR6eeBRkcUXL5Oj3/Hj+FK4eNwhMKoVMosWm1GJTJE2GuUJA1Ncn72iypKKerNXHVdEfkCQSpd/tw+oJolQqsBg0WffoSqUa1GqNaTc/cnLR9hiAIrcvnCzJr1tKk8c8+X8GkSX0wm1t/0sagV3P05L4MH9QJl9uPXC7DZNRgNSdP7tt9fj5ckXyTrveWreKIXt0wqMWkDUAoGqXG46Xe50MqkWLTasgz6JGmKZEql8sozjdTfKQ5Le8viESakIXiSXrBNMSTJKFaiynHiOkgsvuS/TQSbv15qeyx1VXHlfM/YKOzBgCZRMKZ3YZyVd9x5GhEslEQhBaKx5u91kQjsQwOZv90CiU6U+omEERD+9/VOL08/Ok8Pl+8rqESvl9ZPvfOPJaSHLHJjCAILROPk3TiHCAWixEne55pZDIZ+blG8g9wualEImk2CSSRSMiCYrus4AoEmb1hM3d++wPe0N4N5nJ0Wh6efgxDSopQykTz/7ZI7NopZJ3cHGPShvsWiw6TqW2v6+5UloNcnvhPr6zMhkGsWweg0ufi3DlvNCTRAKLxOK9vXsIbW5YSjmbfTq6CILQNOqOGwWN7Jo2PmNQng6NJPZNKzZCCwoQxCTCkoCizA8pSgVCY52Yv4LNF6xq1k1izs4qrnv2YWpe39QYnCEKbptOpOOaYQUnjU6cOwGRs/Wq0lrJoNZw+ZGDS+FnDBqEXLQQAWF9dwy1fzG5IogHUen2c//aH7HG6WnFkwqEQiTQh61itOq7665FNjksk8Lfrp2GzZceyzpayWnVc/dejmhxXKGTc+LdjsFpFjxSAbe56KvzuhLEXNyygOuDJ8IgEQWgv9CYtl942HbW2aZXX1NNHkVPQtiuRLBoNd045Ap2iaZuBvx02jtxmdvvsSGrdPj78ZXXC2Naqeqocia9BgiAIB2LIkE5065bX5HhRkZnJk/ogbePVwVN6dqF3ftMl6kNKChneqbgVRpR9XP4AD8+dnzAWjsX4YOWapDtzC9lNLO0Uso5SKWfi+N507pTD62/Mp7zcTteueZx95hiKSyxt/qKjUimYPKk3Pbrn8+77C6modNC/XwknHDeEgjb+8JZKW1x1SWOeSIhANJw0LgiCsD+l3fN54vMb+OTln1g6bwMmq45TLplM76GdMFra/oRGT5uNz846h/fWrmb+rl0U6PVcOGQo3a02USXwG18w1Gx1c3m9i35l2dErTxCEtic3x8Bd/zuF+b9s5rPPlhOLxTnqqP5MntSHvCRN/NuSfKOBZ86YwYLtu3hn6WqkEjhr+CCGlRWTbxAtWAD8kQjb6u1J42sqqwlFIqgTTHwJ2U0k0oSspNer6Ne3mNv+cQLBYBiNRoVa3X5OMDqdml69Crnp78cSDIXRqJXI5WJ9/B91M9qSxvRyJWpZ+/l9EAQh82QyKUWdc7no1uPwuo5ArpBlxU6dqSKTSulkNnPtqDFcPHQ4KplM3Kj/iVapQCGTJU2mFVrb/oOuIAitKzfXyAnHD2HihN7EiWMyatt8UcAfFRgNTB/Ylyk9uyGRICZq/kQjl9PFYqHW23SXcIB+BXko5SIl0xaJpZ1CVtNqVVgs+oNKooWCYWp211Gzu45gkt0/s4VSKceg14gkWgJdDFYKNYmX8Z7fayR5ajHTJQjCoVMoFZhzDAeVRIvH49Q6PVTVu3F6A2kc3aGTy2SY1GqRREsgx6TjxNGJd2jukm+lwNy2W0kIgpAdJBIJZrMWi1l3UEk0h8dPld3dJvo1GtQqkURLwKhRc82EMQljCqmUkwf2S9vOnUJ6ifSn0K5Ubq/m/Qc+5ZvX5hKPxZh42mGcecuJFHXL3qUZbneAQCCERCrFajm4C2x7VqA18uqks7ni5/fZ5KoF9u7aeXrXIfyl+3AUYocbQRBaQZ3Tyw/LNvPyV4updXrp36WAq08eT/diG1p16nbWTKVAJII94AfAotagFrPfAKgVCi6ZOgpPIMSXS9c3bDjQpySP+88/jhxj21/iKwhC2+P1B9mwu4ZHPprH+l015Jv1XDRtFOP6d8GapRsUxGJx7PVeYrEYao0Sg0Hd2kPKGn3y8/jftCP437c/4gvvbU1j02p5eMY0ik2i8rmtksSb2/+9nXK5XJhMJpxOJ0aj+OVtL6p31nDtuNuo2d24t5Ypx8jjC+6moEvTZp+tKRAIs31HLc8+9wNr1u7BbNZy2ikjmTypD1arqLbapzbgoS7gwx8NY1FqyVHr0Cmy82G1IxPn1cbE99E+OT1+7nt7Dl8uWN/ouEQCj197EqP7dmqlkSW30+Xg6WULmbV5PXHiTO/eh8uGjKLMKHpy7uPxB6lz+3D5AmhUSqx6DVZDdj6sdmTivNqU+E7an3g8zpwVW7jhmU+bxE4ZP5CrZozFoM2uJFV9nYc5363l/bd/xWH30bd/CRddPoXOXXPbVWueQxGORqn2eKnz+pBJJdi0WvIMelGNloUO9LwqlnYK7UI8HufnTxY1SaIBOGtdfPnid0QjyRsK/1E0GqO21k11tQunM/F69lTYuKmSv179KstX7CQcjlJT4+aJp77joUe+xuFI3+e2NTlqPb3MeQy2FdPJYBFJNEEQWk2N09skiQYQj8M9b3xPrfPAl9/YXT6qal3U1HtI15zmbreTkz9+izfXrcQTDuENh3lz3UpO/ugNdrudafnMtkivUdEpz8KAzoV0L7SJJJogCK2mxuHlnre/Txh7f95K6t3+A34vnydATbmdmgoHoUB6NulyOnw8ev+XPPXoN9RUuwmHo6xYtoNrLnuZjevK0/KZbZFCJqPYZGRgUQH9CvIpMBpEEq2NE4k0oV3wunz8+E7irYUBfvpgAe56z37fp77ew3vvL+TSy1/ijLOf5KZb32XFyp34fMFUDhe73cvDj35NLNb04enn+ZuoqXWn9PMEQRCEQ7dmW2XS2K5qBx7//q8Vbm+QBSu2c/V/3+PEK5/jwlvf4IOvl1PvSG0PnGgsxqxN66jxNX3fGr+PTzatIxqLpfQzBUEQhEPj8geoaWZSZtOemv2+RzQaY9fmKu6/4U3Om/A/Lp5yN0//92OqdtencqgA1FS7+HnexibHY7E4jz34NQ579vd3E4SWEIk0oV2QyWRoDJqkcY1Bg1TW/K+70+nj4Ue/5tnn52D/rSJs48ZKrrvhTVau2p3S8fp8QbZvr00aX7FyZ0o/TxAEQTh0zfVAk0j27pTZnFgszq/LtnHdXR+wZefea0Ct3cODL33P02/Nw5XCjQtcoSBfbN2UNP7Flo24QqmdJBIEQRAOjXw/1xGtav8rMyp31nHNjIf5ZfZqYtEYwUCYL9/8hRvPeILqcnuqhgrAqhW7ksa2b6vB6xHXGaF9Eok0oV3Q6NWcdM0xSeMnXnMMRlvzu2/V1nn46efEDx2PP/ENdXX7r2g7UFKZtNlNBfQ6seuNIAhCtunbKR95kkmZ0f06Y9Ynn9CBvUmzh1/9IWHsszlrsKewnYBcIkXXzE6dOqUSuUTcBgqCIGQTs17DgC6JN0lTK+V0KbA2+/PBQIj3nvkev7dpAqt6j53lSZ51WkrXzDOLVCpBKhPLF4X2SdxBCe1G96FdmXLWuCbHR04bwpAp/ff787t21TFwYCn5eU2bCpZXOPCmcHmnyahl3NieCWNSqYSBA0pT9lmCIAhCathMWu688Gj+3NYkx6TjxjMmYdA2Pwni84foVGShR6fchPGtu5JXKh8sg0rFhQOHJY1fMGAYBpWYtBEEQcgmZr2G28+Z2mRiRiaV8H8XHYvN1Pxuwh6nH0eth77DOqNK0Oh/7mfLCaawX1r/gaVJk2VjxvXEZBY9J4X2Sex/LrQbljwTlz94HtP/Oo3ZL/9AJBzlqJmTKO1VhCXfnPTnorEYFX4XNUVBrKfmMErbm/ywjhcfmUN5hQPYm9ySy1OXd9ZqlVx68WTWr6+gusbVcFwigRv/dgwWa/MXyY4mFotRvbOWpd+uYv3CTfQc1pVhRw4ir1MOMpmstYcnCEIHoVYqGDewK+//ZyZfLVjP7honh/XvzNAexRTYmt8xr67WTV2Fkz5mC+YuOq44dRwffL+Cn5ZubXiNfj+JuIM1JL+IaV168OW2xhUIU7t0Z1hBUUo/qz2o8nrYWF/L11s2Y1FrOL5HLwr0Bowi4SgIQgZ1KbTyxs1nsXDDLhas20GXQitHDetFgdWAUp78vtfl9lPnDZA/vhs5kRgnXnMU21bs5O2Hfu/LbLBoke2n3c3BsObo+futx3PvnbP44745uXkGLrnycLQpvq61dW63n6pqF9/9sI5AIMSkCb0pLbFitepbe2jCQZLE07VVVBYTW0UL+8TjcVbbKzn7h9fxRkINx3PUOh7sczwP/+tL6uo8jBnTnVtvOr7Z8uWWqK52sWbtHn75dTMF+SYOn9KX3FwjWq3YmfKPNi/bxg2Tb8fn+n3Zk1qn5v7v/03P4d2QiF1vWp04rzYmvg/hj6qrnNx207ts3VzdcEwqk3DV36fx4+pt/LxsG1q1gtfvn0lBrimln13r87HdaeeDjWuIx+GUXv3obLaQoxFVAn9U6XFz4ecfs6a2utHxf46dyGl9BohkWhYQ59WmxHci7ONw+Xjl/V957/OljY4fPqYnQwpsPHPbBwA88P7V9B3WOaWf7fOFqK128d03a6iqdDB6TA/6DigmLz+117O2zuXy89a7v/L2ewsbHR8yqIx/3HQctv20IRIy40DPq6IiTejQqvxuLpr3TqMkGkBtwMs9237g9DOG8fl7y7jy8iNSnkQDyMszkpdnZPKkPil/7/airsLOf059oFESDSDgDXD7Sffx2K93k1PcfL8IQRCE1hIKRnjzlZ8bJdEAYtE4j933JbffdzoLVu7g7r9NJ8eS+hnpHK2WHK2W4YXFKX/v9iIcjfLKqmVNkmgAd/78IxNKO4tEmiAIWW3LjtomSTSA737ZyLALplBQauWwowdS0jVxa4FDodUqKeucw/kXT0z5e7cnu/fYmyTRAJat2Mncnzcy4/ihojigDRE90oR2KRqNNZQwN6fK76E2kHhb5rWOKgaN6cQjD/+FokJzikcoHChntZOKrVUJY7V76nFUOzI7IEEQBPbuwBmJxfb7Orvdy+yvViZ+j2icql123n30Qgb1LkHezJIdIX3q/D5eX70iafzTTRsyOBpBEITfRSLR/b7GHwjzzqeLk8a/mr+BO167lDOuOByjRbSPaQ2xWIxZny9LGv/goyXYHanbcEhIP1GRJqRMIBCi3u6jqsqJUiEjJ9eAzarP6INBba2btevK+ebb1ej1ao4/djDFJVZMxsQ7qf25Eu3PpAopedb2WSofDEdw+PxIJRKsei2y/Wy33VpCoUjz8WDzcUEQ2o9oLEaN20ul00MgHKbYYsSq06JTZW45vMPjZ1e1g/fnrsTtC3Ls6D4M6FJIXpJqsmg0RjiU/EHI5w1QkNM+rzOxeJxar5cYYFKp0DSzi2hrisXjeMPJm2/bg/4MjkYQhNZW7/JS5/Bhd/mwmXVYjVosxswthw+FI1TUuvji57Vs3l3LwO5FHD6yJwU2Y8KdoyPRKE5X8vOU0+3HYNZi2M9GBW2V0+UnFI6gUsoxGprfPbu1RKMxXM38G/l8QWLR/U/OCdlDJNKElHC6/Hz22TJefvUnTCYNp84cRaHCiiriIE+vJ1etR69M77KI6hoXN9/6Ltu3/77r2dezV3HSjGGc85exmExNL4BFWiMSIFHtmk6uxKzKzpPxoYjF4uyqd/D8nEV8v24LaoWc00YOZMawvuSbsm9tvjnXiEqjJOhvmvRUKOVYm9lIQhCE9iMcjbJiZwVXv/kpnkCIM0YNYlz3MnZIHOQadOQYtNgM6X1IcHj8PPf5r7z1/fKGY3NWbKFbkY3HrzqRfGvTc6hWq6RTlxx2bEu8I+egIZ3SNdxWVeXxMGv9el5bvhxvKMTkLl24YtQoOpnNWTdxo1cqGVtcyrzdOxPGp3btnuERCYLQWsqrndz06Cw27qhhVL8yThrXj+qYBItJgy3PhDXPmNJm/X8WiURZun431z30MdHfEivzlm3lxVkLePqWU+nTpaDJz2jVSg4b3o01myoSvufooV3Ra9VpG3Nrcbn9rFlfzotv/cyeCgedy2xcdPZ4enbNR6/PruX4CoWcyRP78MuCLQnjo0Z2Q29of/9G7Vl23ckIbdaaNbt54aW5WK06rv/vsbwsXc75y97hrHmvc+SXT3PHsq+p8XvS9vnRaJTPPlveKIm2z4cfL6Gi0pnw52wqHWd1G5Ywdk2/8eSp298OKrvqHZz+xFt8uGQNDl+ASqeHR7+Zz5WvzqLKmb5/o5ayFlqY+Z/TE8bOvPUkzIfQyDQY9VMfrKImsAdXuL7F7yMIQvpVONxc9PKHuANB7jp5KvVOL1e+9AmXvfARJz/8Ohc99wE7a+1pHcPuGmejJNo+W8rr+GDeSiLRppVnZouOK685KuH79elXRGGRJdXDbHXVHg9Xfvop98ydyx6XC0cgwEfr1jH9jTfY7nC09vCaMKrU3DJ2IooECb5+OXn0tOa0+L3DsSjlPidbXLWU+5yEE/yOCIKQHewuH7c8/hkbd9Rw8sQBTCgq4JErXuc/F7zAdSc/zpXHP8SynzYSCiavYD1UtU4vtz75eUMSbR9/MMxtT31BraNpSxqZTMpRE/pgSlCNpdUoOenoQSgU7at1QDAY4YtvV3PTfz9kw+YqPN4gq9eVc+0/3+GnhZuIZuG5dtDA0oTtgtRqBWedPhq1quVV2zUuL9uq69ld58ATCB7CKIUDJRJpwiFzOn288upPAJxz+Xhu2fgFG501DfE48OH2VTy7/hdC0fQsw7PbfXz2xfKk8S+T9KcxKFVc3X88/xh8BDbV3oq1Iq2RB0adwEldBqKQta+LTiAU5vk5i3AnOMGuK69mbXniXmStSalSMPW8ydz27vWU9CwCoKhbAbe8cTUnXDEVdQu31baHqvlw9+M8tOFKHt54Fc9u+QfrXYsJREV/AkHIRj+s30IoEmVqv54s2bqHr1Zs5I/7jm+qrOOS5z+i2pW+CYFPfl6dNPbhvNXUuxMv2+jVt4j7Hj2brt3zAFBrFJx8xij+defJWG3tb8JmU10dyyqaVkb4wmEe+vlnvKHm2yq0hu4WG5+cejbjSzshlUgwKlVcPnQELxw7g3xdy/6NagMenlv/C8fNfpajv36aY79+hifWzaMmkH2TVoIgQL3Lx/ptVZgNGkZ1LuSF/3xCwPf7+crt8PHvS16iclf6Jl+r7R48vsSJkJ1VDpyexNeZwjwTT911JhNH9UAqlSCRwJihXXn27rMpzDOnbbytpd7h4bnX5iWMPfrc99TWJ+6B3Zryco088H9ncOL0oahVCqRSCePH9uDpx85tcT9uXzDE/A3bOe/Jdznh3lc49p6XueWtr9hdl7iIREgdsbRTOGShcJSKSgdarRKZTcbu8sR/uG9uWcrMniMo0ZlTPoZ4PE6wmV5ZXm+QeDyecCeUHLWO83qO5JjSvoRjUVQyGXma7FvimApOf4Dv1iUuKQb4ZMlaJvTqknXLbow2AxNOGUP/8X2IhCLIFTKsBS2v4nCG6nhx6+3UhyobjtlDVby2/S7O7/JvuhsGpWLYgiCk0IaKvRXHR/brwa1vfZnwNbvrneypd5JnTH1yKh6P42umCiEQChOPJ97kRqtVMXhoZ/7vobMI+MNIZRIsVn27qxDY59P165PGvtu6FVcwiE6Zub52B0Ipk9E3J4/HjzoObziMRAI5Gm2LJ9T8kTDPrp/PS5t+36HNEwnxxLqfqAl4uGXQkegV2bX0SBA6Oo93bwLr6FG9+Oq1+QlfE4vG+PzNX7j4luORp+EcHg43X0kVaaaPVlmRlX9cNQ2XJ0A8HsegV6Nv4YRztqup8xBOshGDxxvE4fSRn5t9/UcL8k1cdtFkzjx1NHHi6HUqtIfwb7S+vIZLn/uo4X/H4nHmrNnKhvIaXr3ydArM7fOZNhtk19MyMHfuXI4//niKioqQSCR8/PHHjeLxeJzbb7+doqIiNBoNkyZNYs2aNa0zWAEAtUpOl865mE1a9viTZ78D0Qj+SHpKoQ0GDYeNSd7D5Kgj+ze7nbBUIqFAa6BUb263STQAiUSCWp48f65TK5GQvdsuW/PN5JXmHFISDaAysKNREu2Pvqh4CU9YzOIIQrYZ2nlvRSrxOMFmdjHblaZZWIlEwjGjeieNTxrcDdN+etCYLToKiszk5ZvabRINQKdK/lCglsuz+CoDJrWaIoOBQr3hkKrSawIeXtuceBe997etSLpjuCAIrWff0sh8k47yBO1i9tm2vmK/m2G1VIHNkLQHm0mnxqxvvn+zVqOkINdIYZ6p3SbRgP1eQ9PZx+5QKZVycnMN5OUaDymJ5vD6eeDTuQljFXY3q3cmftYRUiPrfsO8Xi+DBg3i8ccfTxi/9957efDBB3n88cdZtGgRBQUFHHnkkbjd7gyPVNjHYNBw0QUTsTt8FGvMSV+nkSnQyNOzY5dareDcc8ah1Tad4e7dq5CuXXPT8rltjU2n5bSRA5LGTxs5AKk0mx9xDlwkGqXK6aHS4cbtb1wiv82zKunPVQV2Eo6L3gKCkG3GdCvDqFaBBDSK5BMCZTZz2sbQoySXfp3ymxzXqZVcfOyh9TdpT07q0ydp7IwBA7BpM7f7XbrVB91U+R3UBRvfhzpCfiLxxJUjMeLYg6KNgCBkG6tRw5iBnam0eyhp5tmhW98iVKr0LOyyGrVccuKYhLG/nTOFHEv73HnzYNnMuoQ94QAK802YE2wy11a5fQGq7G6qHZ5GvVgD4QirdiVPlv28YXsGRtdxZd3SzmnTpjFt2rSEsXg8zsMPP8w//vEPTjrpJABeeeUV8vPzefPNN7n00kszOVThD7p2zeOG644maI/SSW9hh6dpw+dzewxPa/P+okIzTz9xHm++/Qvzf9mMRq1g+glDOeLwfuTY2m+V2cGQyaScOLwfs9dsalgmtc/powZSZmsfTa+rnB7eW7iSt35dgScQYnS3Mq6bNo6uuVaUchlmZV7Sn1XLdEhpv5UigtBWFZmNvHrxaXy4ZDUzRvTjrfkrmrymLMdMkTV9SznyzHoeuOIEvliwjvfmrMAfDDNxUDfOP3oEJbnmtH1uW1NsNHLRsGE8v2RJo+NdLRbOGTKkXfQfdYa8LKnfyjObv2GXt5YyXQ6Xdj+KodaumJRatLLmk6rpmlgUBKHljHoNt154JM+8/zNTzzmMpfM2NnmNTC7lmDPHIJOn5zymUSs5afJAupfm8uyH8ymvcdK9NIfLTx5L99LcrGu/0lpsVj2333g8f7/jfSKR3yctVEo5//7bceRY237/0VA4yraqOh75eB6LNuxGr1Fy+sTBnDR2AHlmPVKJBKteS5078cRMsbXlG7IJ+yeJJ2vokQUkEgkfffQRM2bMAGDr1q1069aNpUuXMmTIkIbXTZ8+HbPZzCuvvJLwfYLBIMHg7xUmLpeL0tJSnE4nRmP2rZ1uq6LRGHa7F4c0wA2LZ7HavjdDLpNIOLXLYK7tP4FcTfpPasFgGJc7gFQiwWLRtZsKq1SqcnpYvbuSWcvWoVUpOH3kQMpyzFh1qZu9cXj91Hv9+EJhTBoVNr0WrSr9PXFq3B6uem0Wq3Y13jhBIZPy1hVn0qcoj7pgBQ9vuJoYTZeHTc47lcn5pyGTtP0HvUxyuVyYTKYOe14V15nMqfN48QZCvDBnMR8vXkM0tvc2pm9xHveffSxlOea0jyEWi1Pn8hKPxzHq1KiVIinyZ3a/n50OB2+uXIkrGOSE3r0ZUlhIgSF1E1v+YJg6lxenJ4BGpcBi0GJJUqGQSsFomHd2/MyTm75uEruq5zROKRuDJxzi/Llvss7ZdBOfLnorb0w+l9x2uDN4OnX06wyIa02meP1BnHYv6xZu46k7PsbrDgBgyTHw9wfOoN/wLigzUIHscPsJhSOolQqM+uZbB3REoVCEqhoXs+esZcv2Gvr2KmTy2N7k5xmRp2hpZzQapa7cjrPGhUQiwZxrxFZsbbZlUKqs31XNOfe91aQv3sAuBTxw8QlYDVpenbuUBz5rurxTKpHwyY0z6ZzbPookMulArzVZV5HWnMrKvYmZ/PzGyyry8/PZsWNH0p+7++67ueOOO9I6NmFvtVNOjoEcDLw44Qzqgz58kTAWlQabSodOkZnGwiqVglyxvKZZ+SY9+abuTOzTFSmSlCcbd9c7ufndL1m2Y++ubTKphJOH9+fKI8aQY0hvSfrWqvomSTSAcDTGA1/O5cGzjsOoyuEvnW/mjR3/RzT+e4+L7vpBjLRNFUk04aCJ60zm2PQ6bHodNx4/kQsnj8DpC6BVKrDqNFj0mVnKIZVKyDWLJEhzLBoNFo2GAQUFxOJx5CmuoqhzeXnli0W8+8PyhoeMvp3z+d8lx1Ka5h3q6oJunt/yXcLYs5u/YUr+AAq1Fh4dcxIz575Jue/3vn35agNPjT1NJNGEFhHXmszQaVToNCryjzMxYGRXnPXevUkUmw5rnhFphqrCzBmYGGjLlEo5pcVWLjx7HJFIFHmKqwT9ngBLv13Jgxc/jatu7/J9a4GZm169iv7j+qBUp+950+UL8MAHPybcXGLltkq2V9WTY9Jx7NDeLNu+h+9X/76ZnFwm5d6zjyHfJK4z6dSmKtLmz5/P2LFjKS8vp7CwsOF1F198Mbt27eKrr75K+D5i9kYQMqfG7eXC5z9gS3Vdk9jMcUO5ZupYVM1seHCo7pr1A2/8sjxhTCKBb268iEKzgUgshCtiZ49vC76Ii1JtT4wKG3qFKINuiY5eKSCuM4KQOeFIlJe/XMgzn/zSJFaca+K5G08nz5K+B4g1jl1cuODJpPEXR11BX3MpAJU+F9s99Wx21dLVYKOrwUaBVpwTWqKjX2dAXGsEIZM2Ld3KlSNubrIjt0wu49kV91PWpyRtn11R7+KY215IGv/LlKHccPJEAOweHzUuL8t3lGNQqxlQVkCOUYe6mX6yQnLtsiKtoKAA2FuZ9sdEWnV1dZMqtT9SqVSomtlBShCE1Kl0uBMm0QDe/nUFZ48ZnNY1+83tmqdRKNhXfCeXKrEq87Eqk587BOFAieuMIGROrdPL618vSRjbU+NkT40jrYk0hbT5qgeF9Pfb6wKtkQKtkdF5ndM2HqHjENcaQcgMvzfAW3d92CSJBhCNRPn4ia+4/KHzUKQpWSWRSFAr5QSS7A77x+cdi16LRa+lZ5HYXC+T2lS3wi5dulBQUMA333zTcCwUCvHjjz9y2GGHteLIBEHYZ7fdmTQWjETxhcJp/fypA3omjZ06ckBK+8AJgiAImRcIRfAGQknj2yvr0/r5FqWePHXiCaECtRmzUuyqJwiC0JYFPAG2rtqZNL556TaC3mDS+KGy6rWceFj/pPEpg7un7bOFA5N1iTSPx8Py5ctZvnw5ANu2bWP58uXs3LkTiUTCtddey1133cVHH33E6tWrOe+889BqtZx11lmtO3BBEAAoMidvJK2QydCkuSl3vknPjcdOaHK8R4GNc8cNRZGmXZYEQRCEzFArZKiVyasASvPS21w5V23knsFno5E17v2qkSm5e/DZ5KrFEjtBEIS2TKVVUdKzKGm8c78SVNr09f9WKmSce8RwuhXamsT+fspE8kSf1laXdUs7Fy9ezOTJkxv+9/XXXw/AzJkzefnll7nxxhvx+/1cccUV2O12Ro0axezZszGkcBcoQRBartBspNRqYld908q0E4f3I8eQ3oowg1rFScP6cVj3Tny+Yj31Hh9H9u9Br8Jc8ozioiMIgtDW2Uw6Tps8mFe/XtwklmfRp32zAYBexmJeP+wafq3dyDrnbvqYShid05MCTfo/WxAEQUgvrUHD2f88iQWfN20jIJVKOfHqY1GkuTigwGLgyb+exMbdNXy7fBM5Rh3Thvci32JArxFLvFtbVm82kC6iWakgpNeOWjtXvfZpo15pUwf04ObjJolkVjslzquNie9DENKr1unlsffn8cWva9l3J9sp38IDf51O50Jr6w5OSAtxXm1KfCeCkD5el4+fP1rIY399gYA3AIDOpOXvL13JsKMGom6mL7PQdh3oeVUk0sRFRxDSotbtpd7rxxMIYtVpseq1GMXsSbslzquNie9DENLP4w9S7/JR7/KhVSuxGrXkmER/svZKnFebEt+JIKRXOBSmvtxOfZUDiUSCtcCCtciMXJ51C/uEFGmXu3YKQltS8dvulTtq7XTPt9E5x0K+qeMsQc4x6MgxiAcaQRCEdKnz+KhwuFm5qwKrTkv/knzyjHqUHaQXpF6jQq9RUZaf3p5ogiAIHZXHH6Te6WXZxnKisRhDehZjM+kw6jpGNZZCqSC/cx75nfNaeyhClhGJNEFIg81VtVzw/AfUeXwNx4rMRl648CTKcsQNf1tV5Xez2VXL3Iot5GsMTCnqQb5aj0aRvmajgiAIiVS7PNz4zpcs2rq74ZhSLuOxc05gZNfSDpNMa29cYS81ASdzq1cRI8643H7kqy2YlaItgiAImeXyBvhozkqe+OAn/riG7cyjhnD+caOwpLnvsZAeoXCUKqeb+et3sKfOyfDuJfQqziW/mQ3jhKZEIk0QUqza5eHKV2Y1SqIBlDtc/P2dL3n6vBlYdOLC09aUe51cOO8dNjprGo7dveI7Hho9ncOLeqKR77/haDweRyKRpHOYgiB0AOFIlFd/WtooiQYQikT566uf8Ol1Mym1mVtncEKLOUIeXt32DR/u/rnh2Gvbv+Xw/CFc2eMErCrxkCMIQubsqKjn8fd/anL8rdnLGNm3E+MGdW2FUQmHIhSJsmjzLq5+/hMi0RgAr/ywhGKbieeuOJlim+mA3kc804hEmiCkXL3Hx2570x0rAVbvrsLuDbTpRFogHKbS6eH7tVvYVefksB5lDCgpoKAdz2IEIhGeWPtzoyQaQCwe57pfP+HbaZfRyZC8uXU8Ug6hX4mH5hKXliHRTAdZIRJp2/09EASh9dR5fLyzYGXCWDgaY+HW3W0+kVbucbGkZg+/Vu6kq8nK4SXdKdIZUMra763rVk9loyTaPt9VLWNi3gAm5A1M+rM1fg+bnXW8v2UlMqmUU7sNpKvRik0tWiwIgnDwguEIb8xuumPlPi9/vpBB3YswtOElnnUuLzurHHyzZCMqhYypI3pTaDVg0mtae2hpU+P0cN2LsxqSaPvsqXNy70c/ctdfpqJTJ+5p7fEFqax38dn8tVTb3Uwa2oNB3YrIt7bfZ8DmtN+7EaFdi8YiuCN2IvEwCokSg8KCVJIdy1jcgWCzcX84nKGRHDyPw0vQF0SlVaE3N735DoYj/LxxB9e+8Rmx32q83124kkKTgZcuOYVSqznDI86MuqCXD7cnfmiNxePMr9qeNJEWj2wnXn8WxGp/P+Z7BonpQeKqw5FI2+4NiCC0d3W1bvy+EAqFDLNFh0qd3q3uD1QkFsMXSn4tqXC6MjiagxOIRHAGAsikUnK0iScTtjrrOf2rN6kJeBuO3bNkDi8efgqj88tQyLLjep9KgUiI93b+mDT+9o45DLZ0x6ho+p1V+z38ff5nzK3Y1nDsvS0rOaFTX24bfgQ5GpFME4Rs5XYHcLv9xAGDXo3RmB1JnHA4So3dmzRe7/IRikQzOKIDF4vFcTi8xONgNGpQKJpeM2qdHv710mx+Xbej4dgrs5dw9uFDufCYkZjbaTJtw54aguHE/25z12zF7vEnTKR5/SG++HUd9775fcOx2Ys2UpRj5Om/nUpRzoFVsrUnIpEmHDBvOER90EswFkUvV5KvMbRKSac7bOfXui/5pfZzgjE/WpmRyXmnMNAyHr289f+I84x6JBJItB+uUi7DpMm+xInH6WPbqh28dvu77Fy3h9LeRZx7++l0HdgJnen3m/Yat5cb3vqiIYm2T4XTzd2fzuHe06ehTzKL0ZZF4zFCseQ3C7XBxDca8ZiLuOv2Rkm03yLEnTciyfkKpKUpG6cgtHWRaJRapxd/MIJKKSPHqEOpyPytitcTYNWyHTz18Gwq9tiRy6VMOqo/510ymbyC1r/OqBVyuuZa2VpTnzA+vHNJhke0f9FYjJ1OJ88tXsyc7dswqlScP3Qok7t0JU/3e6LHEfBz489fNEqiAYRjMS794SNmT7+QEn3r/xukWiQexRXxJY27I36iSa5DP1Vsb5RE22fWjrWc1G0AEzVi+ZUg/FFdvQevN4hMJsVo1GDQZ/7ePBaLs3NnLY8+9g3Ll+8EoG/fIq65+ii6dMlF3sp9LjVqBaP7d2Ll5vKE8aG9StBrsu+ev6bGzZwf1vLZp8sJhSNMnNib6TOGUVhobvS6H1dubZRE2+eN75Zy+NDuDO5enKERZ5bTG0gai8XjhP9UqbZPrdPbKIm2T3mti6c/ns+t5xyBWpUdk42ZIhJpwgEp9zq5Z8X3fLV7HdF4nDy1npsHHc6kwm6YVJnL2PujXr6ueI1ljjkNx3xRF59XvIg/6mVi3onIpa3b+N2q13LCkL58snRtk9jMcUOzbifLcCjCzx8t4P4Lnmw4VldhZ/kP/+KGFy7n8LPHo1DuPTGu2VNFOJpkFmPDNuq9/rQl0urqPITDEWRyGTarHqk0c0lcnVxJL1MeG5zVCeNj87sk/sGYHULzk7xrGMJrQC4SaYIAUO/28en8Nbz49SLcviAqhYwZYwdwwdEjyDVnttH66hW7+Nff32n435FIjG+/WMnmDRXc/chfsOW07jKGHIOOG4+dwGUvf9wk1jXXSte85EvNW8s2u50T33oT729V2ZUeD7d88w0TO3fmvqOmkvNbMs0e9LO4Zk/C9/BFwmxz1actkeb0B/AEg0gkEqxaDWpF5h4KtHIV43L6s8bZ9MEOYLStD3p50/ste8DHy+sXJX3fl9YtYkRuCVqxKY4gEAiEWbuhnAcfm83uPXYAhgwq47q/HkVZSWbPm5VVTq66+nW83t9XsqxdW85VV7/Oc89eQGlp657HZVIpxxzWlze+XoLXH2oUU8plnHP0cFTK7Eol1Na6+eet77J58+/36++9u5Bvv1nNY0/MbEim1bt8vPndsqTv8+4PK+jfuSAtycxgKILd6ycWi6FTKzHpMlv51rcsP2ms0GJAp058rfhlzfakPzd70QYun3EYhar2N8nVHGlrD0DIftV+DxfOe4fPd60l+lslUnXAw/ULPuHnqqYzoOnkjThZ7ki89GFuzUe4I46MjicRg1rF9UeP45JJI9H+loAyadXcMG0854wdiroVqiuaU19h54mrX0wYe/Kal6ivcDT8b7c/+bLVeHzvcqNUc7n8/DBnHVdf+xpnnfM0l13+Eh98tAh7M+XmqWZT6/j30KNIlLobYiumVGdO8pOR5t84nrn/BkHIZqFIhHfnrOCRj37C7dt7ngmGo7wzZzn3vP09Tq8/Y2Opr/PwzCOzE8a2b6lh9866jI2lOYM7FfHYOcdTbDECIJdKOXZQL545/0TyjNm1w6MnGOTen+Y1JNH+6Mft29nh/L2vaHPVvwCeUKjZeEuEo1HWVlZz5XufMvnxFznyyZe546sf2OPI3BJZqUTK5PxBmBVN/+10MjUzSg5DkaA/XDQexxtJ/p34IiGi8dRfmwWhLdqxq46/3fpuQxINYNmKnVz9tzeprErc3zgdotEY38xe3SiJtk8oFOGDDxYRCu3nHjIDCm1GXvjHGQzt9XuVc98u+Tx/6+kU52Zf0mTtmj2Nkmj72O0+Pvl4CeHfljRGY7EmycE/cvoCaXmmqah3cd/7c5h++0sc+68XufaZWazdWUUoyVLLdMgz6ZjYL3EBwI0nTiLPlPj+wdPMM2AkGmuyWqkjyK4neiErbXfXN2myvs89K75nWG4p+ZrMzM47Q3XESfyHGomH8EXcWJR5GRlLc3IMOq44YjSnjRpAMBxBrVCQa9Ahk2Vf7tpR48LvSVzm6/cEcFQ7ye+UC8DA0oKk71NqNWFQpXbGOxKJ8t0Pa3ns8W8ajtkdPp56+nt27arn0osno9Nlpqx8gLWQt6ecw53LvmWVvQK9XMnZ3Ydxbo8R5GqSPLRKDCArg+jOxHFF8sbRgtCR1Dq9vDp7ccLYD8u38NcZ4zI2axsMhJpNlq1evpNBQztnZCzNMahVTOnbnQElBXhDYRRSKRa9tmECJ5u4gkG+35Z84u2LjRsZVlQEgFGpJleta7K0c5+elpyUj297nZ1TX3q7oeI6HI3ywYo1LNixizfOPY1CY2bucQo0Vh4f/lde3PoVP1avJB6PMyanL5d0P5ZCTeLqFJNSzdFlvXhy9S8J48d37otekX3LrwQh0zzeAM+9PJdYrOlzhMPpY/HS7Rw3bVBGxuLzhVi0eGvS+LLlO/B6gyhbueJLKpXQrTiH+646AZc3QDwOBq0KsyH7+oeFQhG+/mpV0vgP36/j1FNHYssxYNSqGde/Mx/+tDrha48a3hN1iq+lVXY3lz32ATurHQ3Hlm8pZ+Z9b/PGTWfRsyQ3pZ+XjEWv5V+nH8kHv6zi9R+X4vIF6V5g428zJtK/U/LnvDF9O/H0x4lX2fTvWoAuC5f5pptIpAn7tbwu8RILgD0+J/5I5prnq2XNL4tUSLPnj1ghk1FoNrb2MPZrf0skZfLfk3+5Rj1H9OvOt2s2N3ndrSdMJjfFVRB1dR5efHFuwtjnXyzntFNGZiyRppUrGZ5bxosTz8AXCSGTSMlR6Zptei2R5YHxDuL2C+DPCWD1dJBm5qIpCNnO5QsSCCeffa+oc9GlIDPLXGQyGWq1gkAg8bUtJy+7zuu5Rj3ZfiaRSCTIpVJCSVoD6P/wwJKv1fPvkYfz17mzmrzutO4DyEnxLpTeYIiHf/wlYduC3Q4XS3aVc1y/Xin9zOaUaHP4e+9TubTbsSABvVyDTp68f5NCJuOM7oN5Z9MK6oKNe6wV64wcXtK9VfrZCkK28fvDrFufuN8XwILFW5l21ICMTHorlTJstuT3zBazLmGD/NZi1KkxZvnunFKpBKUy+Xem1iiQ/PbMo1LKOfeo4Xy1aAO+YONrfaHNyKg+ZSkf35odVY2SaPtEYjEe/eQn7r7gGAwZSkblGHVcdMRIZozqRzQWR6WQYzMk3vxnn8IcE2P6dW6yxFMmk/L3M6e0280ZmpN95TFCxrh8AVz+5A0H9ynWJS/dVcvkKKSZO9Eb5GbMisSPDCWaHujk2fWA0xaY80yY8xr/G9uKrPz1sQu589Obcdd72bWhHLfdg0Wn4bbpU/jbtPHY9HtPuP2K83nlklMZ1jn1TTnd7gBeX+JS4ngcKiodKf/M/bGqtJTozBRqjQe2c5xiCBLru6AcDRINyMqQGO9EYrgJicyc9vEKQmvyBkM4vH6iSZrX7qPZz6x7Jm/gLVYdx8wYmjAml0sZOKRTxsbSXlg0Gk7s06fRMblUysXDhvPiCScyorCEtVXVVLs9SCUSJhZ34bUjT6OPZe/1Pl+r546RR3Dj0ImYVKn9XXAHQ/yyPUnVMPDV2o3E0rDEpzkauYp8jYV8taXZJNo+pXozHx59Lmf2GIxBocKs1HBB7xG8c+RfKGrmHk4Q2oNgJILd7292Mgb2PvBbLcmTV4UF5oytHFGpFJx6ysik8TPPHI2+FTZAaMvkchnHn9D02j16bFfuevwEbrh/LHZFBXXBWiKxCMW5Jl679SwOH9IdmVSCWiHnlIkDef6GUymwpv558ocVTYsQ9lm4cRe+QOrbFjRHJpOSbzZQZDXuN4kGYDVq+fcFR3H96RPJtxpQK+UcNqALr/3zLHoUp75SvC0QFWkdUKXDzY/rt/HR0jXIpVLOHD2QEV1Lk/ZUGWQrQi2TE4g2vUCd3nUIuSmeHW6OUWnlnM638sLWf+OL/t67xKzI5bSya0UirQVsRRZuffMabp12F5FwhNwSG9c/dxlPXfcyO9f/Xo142PQRXP3EReQUWZk5bhjHDu5N7LdZDEuallwpmplZAtBqs6cCMRmJVAvKQWB+DOJ+QIZElu31I4JwaOo9PtbvqeHlHxfj9AaY0LcL00f0o9hiTFgdY9ZrGdGrlEUbdjWJFVgMSXt2pINCKeeUsw9jw9py1qz8fTwKhYzb7z0dW27rbjTQFqnlcq4cOYp5O3ZQ7nYjlUi4/6ijmb1uExf/vKThdWVmE8+cOp3uOTbGF3Xh9SPzCcYiyCRS8jS6tFRWySQSzBo1nmDih5hcvQ6pNPvnncsMFv417EiuHjAWkGBTaQ9sskcQ2qhAOMxOh5OXFi5lbXUN3WwWLho1nE4WMzpl01YjVouOs08fzT0PftEkJpHAtKMGZGLYDcrKbJx/3nheenleo+MnnTScXr0LMzqW9qJL11wmTuzNjz+uB2D6aYPoMVXGa46HCe3ce45XSdWc1/ki+pkG0KXAyh3nTcXlCyKRgEWvSdtO4Tmm5M/LJq0aaRuoHM4x6Tnj8KEcOaIXsVgcnUaZlTu3ZookHu94neFcLhcmkwmn04nR2L4TL7F4HHc4iEIiRatQUulwc9GLH7Ctxt7odUM6FfHgWccmTKaFo1GW1e3hwnlv4/vDMs5RuWU8NHoG+drMPlTE43Gc4VqqAjupDZaTr+5ErqoYk9KW0XG0J+FQmMpt1Xz14g/0O6wXT13/MpXbmjbrnHbhFK585AJUGUpgOZw+br71XTZurGwSM5k0PPPU+eTltu+/4baiI51XD0RH+z68wRCxeByDWoXD5+eJr+bz9vyVjV5j1Kh446oz6JxkR8nyWidXPf4x2yrrG47ZjFqeuuZkurfCbKe93kNVhZN1q3djturo068YW45xvwl+Iblyl4t5O3dQ5fbgcAd4bcnyJq/J0+t4f+aZGetLFo/HeXXRMv43O/FGRp9cdDZ9Clq/96rQ8c6rB6IjfSfBUIRgJIJWpUAqlfLTth1c8t7HDRuhAUiAh6Yfw5E9u6NMkEi227089/Jcvpj9ey8tmUzKzddPY9yYHmg0md3d1usNUl/vZcWKnUSjUQYP7oTVqsdgENVoLWWv97Jtew2zv17F0TM782T5/U1eI0HCbX3/Q4k29Us4k9lcXsup/3stYeyqE8Yy88jhyNrApE1HcKDnVZFIa8cXnT1eB1/sWsfXuzdgVKi4pv8EFq8u58Gvfkr4+ofPPo4j+/dIGIvEolT63Wxw1FAX9NDPXEiB1oAtg9VoQvpFo1HWL9jMteP+mTAuV8h5cd3DFHZNvnVyqu3cVcd1N7zZaJdOtVrB/feeQe9eRfvt8SZkRkc5rx6ojvJ91Li9rNhdwWsLlhOKRDlpSF/65edx+sNvJnz9lH7d+N+ZU9GrEyfjaxweyuucbKmopzjHRKd8CwUWUQHW3uxyODn2+VfxJ1mK9eqZJzOmc+YecKrdHm6aNZuft+1odPzvU8Zx+tCBGJP8vgqZ1VHOqwejI3wnHn+QndV2XvtuKbvrnAzuWsTJkwZyxhvvUufzNXm9Xqnk8wvPociU+Ptwuf3U272sW1+BRqOgZ/cCbFYdKlX2bdQitJw35OPF7c+wyrU8Yfww23jO7jQThTQz/+5uX5DPF67l/96b0+j4sB4l3H3+NHIzWHkvNO9Az6tiaWc7tdNj59TvXqH2D7teDTeX8eWS5Ouz31mwkrE9Oyfc8UsulVGiM1OiM6djuEKWkMlk1O5JvltdJBwhkGCr7nQqK7Xx1OMz2bCxgnXry+lUlsPAAaXk5RlFEk0QWlGNx8utn8xm3qbtfzgaZ1ehPdmPMGftVlz+YNJEWq5ZT65Zz6Buqe+5KGSPUDSaNIkGsMPuZEznzI0nz6Dn/hlT2WV38f2mrehVSg7v2ZU8vR6DSKIJQqsJhMLMXrqR/775bcOx1dsrGdSnOGESDcATClHt9SZNpBkNGowGDZ3LOmZfp44iKglTHWy6omWfikA54VgoY4k0g1bFcaP6Mqp3J+au3orLF2BC/66U5JiwGUVhSlskEmntkD8S5tHV8xol0WDv+v/mxOP7/p/QkRV2SV5tptIo0bRCuXlenpG8PCPjx2Vu5zRBEJq3obLmT0m0vWL7u4yIy0yHp5HL0auUSfuSdcuxZHhEYNPpsOl0DC4RvYkEIVvUuXzc/c73TY7vd0GVuM50eCqpmhJtGVVJkmmdtV1QSjM7UaLXqNBrVBnbhVxIL7EQtx1yhPx8tmtNk+PzarcyeUDXpD932qgBaFWZ7Q3QEblcfnburGPt2j3s2FmHy+Vv7SE1klNio8uAxEtqTrhiKtYCc2YHJAhC1glFory9eGWT42srqhnaNXk12YQ+XTC2gU1C2jp/JMwuj4PltXtYU19Jlc/d2kNqJFev4+JRwxPGyiwmyszmzA5IEISstLWyjkiCXZ+DgQhWbeKNrnRKBbl6UeGTbrF4nHKPi1XVVSyvqmC3y0kowcZ0rUUlU3FM4XFIaFpJIpPImJR3OHKpqCkSWk789rRDcfae3P5sQc1OLhw1mrIVZnbWORrFBpUVMKRTUWYG2IFVV7u474EvWLJ0e8OxIUM6cdPfjiUvLzt6W1gLzPx31s3cd/7jrJizFtjbG+3YS47glBuOR6kWyVZBEOJEE5SeBSNRVlVUcdyw3ny2ZH2jmEGt4vrjxidd1imkRn3AxxublvL46vmEYlEAirRGnp5wEn0t+VnRzFghk3Ha4AF4QyFeXrSMUHTvOAcXF/LA8dPIN4heMYIgJF8o8/b3y7npyPHc8vU3TZ55/jP1CJFIS7NQNMLiinKumv0Zdf69BQEauZzbxk7muB49MaqyY7OEPFU+V3S/hle3v4g74gLArLBwQZdLyFHmtvLohLZObDbQDhtzesMhbl70GV/sWtckZlNpeWf8TH7esIOPl6xFLpVwxuhBHNajU8IdO4XUcbv93HnXLBYt3tYkNmRIJ/79zxkYjYln11qDq96Ns8aF3xNAb9ZhLTCj1mXHhVHIPu39vHqwOsL38cOGrVz+5idNjksk8NzZJxKLxHl5zmKcvgDj+3ThlFEDKLKI3obp9vG2NVw3f1aT4zq5ki+PvZBSvTnzg0rCHw5T6/Xh9AfQKBRYtRosSapMBKEjnFcPVnv/TnbXOJjxn5cTTtycMmEgJ04cwIuLlrCuuoauNiuXjh5BZ4sFvVhhk1Zb7fVMffsVwrGm1YJvTj+Vw0oyt1nM/sTiMZxhB+6wG4lEgl5uwKwwI9lfzyOhwxKbDXRgOoWS6wdM5KfKbbjCgUaxkXllGHUqzh4zmGMH9UYqkWDSiuRIJtgdvoRJNIBly3Zgd/haJZEWiUSIRqNEo1FkMhkymQy5XI7RasBozb7d8iKxKFV+Dxuc1dQGvPSzFFCgETvICkKm9SvKY1hZEUt2ljc6nm/Q0yXXSrHZyNAuRYQjUQwaFXKZrJVG2nHU+D08uHJuwpg3EmJ+5XZO7z44s4MCqlxuNlbXsaa8is42CwOK8ykwGtAoFJSaTZSaTRkf0/64w3bsoSqqA7uxKPPIURVhUorm5IKQSVajlqunj+ehjxqf1+RSKVOH9KRvQR7/PfoI/OEwGoUCjULsvJlusXicDzasSZhEA3ho4Xz65uRhVmf2+TIerYdYBfHgfCQSDajGgjQXqVSPRWnFosy+vmROf4Aaj5dV5ZVoFUr6FuaRq9eiFr/HbYJIpLVTnfVWPjnqAt7esozvyjdhUKi4sNcoRuSUNSQcLDox65tJ3v3sdun1BpqNp0MoFGLPnj14vb9vTKHT6SguLkapzL7ZvHA0yrK6PVw07x28kd+bVB+W14n7R08nX5N9iT9BaK/yDHoeOvVYftqygzcWLCcUjXLcgN4cP7A3Rea9M3hiGWdmhWNRdnkcSeOr66s4PXPDAWBHvZ3zX/mAcufvfdr0KiUvn3syfQvzs7JC0R6q4pVtd1IT3NNwzCC3cH7Xf5Ovzp5KC0Fo77QqJTPG9KNfp3xe+HohFfUu+ncu4LwjhlOSawYQCbQMC0UjrK6pThrf5rATiISBzCXS4tEa4q7bIfjN3v8N4AaJ4Z/ENScikWbf80Gtx8tD3//M+8t/72uukEr5vxlTmdyzK9osfA4TGhOJtHZKIpFQprdwXf+JXNBrFAqpDJOybVSeJauQauv0uuYfKPUZXjYZiUSaJNEAvF4ve/bsobS0NOu+96qAm/PnvkXgT81M51fv4Pn1v/L3gZNRyrJrzILQnuUZ9Zw0pB9TenUlGo9j1qizogfX/tS6vFTUu9iwp5Z8s57uhTbyzYasTOocDLlURie9hR0ee8L4QFtmd6R0+ALc/NHXjZJoAJ5giEvf/IQPLjmLAlN2PeD4Ih4+3PVkoyQagDti59Vt/+PSbndjzMLKBkFor4w6NcN6lNC7NJdgKIpWrUCtzP7EmdsXpN7lZeXmCuQyKf27FmA16dC18V7DSpmcAbn5/Lhze8J4N7MFjTzD/z7B7xqSaH8Ud9+JRDkSpL0zO54DMG/z9kZJNIBwLMYNH37JZ5efS/dcWyuNTDhQ4omznVPIZOTI2s6St7ZWIXUwzGYdo0d149cFW5rEhg/rjNmszeh4otFokyTaPl6vl2g0mnWJtOW1e5ok0fZ5a8syzus5kmJd9i0REoT2ztyG+lpV2t1c9/ws1u76fUbdoFHx9BUn0bc0OyukDlSeRs8NgyZw9c9Ne9cZFCpG52e2mqre52PZroqEsTqvj0qXO+sSad6ok63eVQljjnANrki9SKQJQivQqVW0lVa9dref175cxGtfLW44JpVIuOb0iRw3ti/GtvIfkoBUIuHk3v14dtnihg1t/uj6UWMxZXBZZzxaQ9z7QvK4/12Q35ZVPdFqPV6e+XlRwlgc+GjFWv5+xPjMDko4aNk/bSx0GPurkIpEsmdL5ZYwGNRcd83RjBrZrdHx4cO78Lcbjsl4f7RotOnF72DirWG3z5k05o+GCSe4oAuCIOzjD4Z5eNa8Rkk0ALc/yGVPfkiVw53kJ9uOcYWduXHwJFR/qM4t1Zt584izMj7REAw3f912BZpvedAawrHmx+SLtP3fEUEQ0mvttspGSTTY21vsobfnsKva0TqDSqFig5HXTjiZPO3vxRp6hZJ7p0ylT05ehkcThVh9M+HKva/JIpFYjGp34mIGgB31DmJJetAJ2SO7yk2EDq0tVkgdrNxcA7fefDwOhxePN4hOp8Ji1mIwZL6aQ7afxt/7iycSj8cJBiMoFNIW/fz+DLEVJ40Va01oM11KLghCm1Ln9jJ72caEMbc/yNaqegqtbXvnO4tKywW9h3Ncpz7UB3woZTJsah15mszvzG3SqNGplHiDoYTxUkvLEnvBaBipRIJCmvp7Ao1Uh1yiJBJPPGaLMjflnykIQvvh9gZ46fMFSeNvzl7Cvy+YilLRdp9plDIZI4tK+OTUs6n3+4jE4+RotORqdSgzvbGQxADKURD8NnFYdQQSycF/15FolEg0lpZlxFqFkkHF+czftithfGL3zkjbQJuMji6tf8Hz589n8+bNnHvuuen8GKGdaIsVUi1hMKgxGFq/pFsmk6HT6RImL3U63UElwmKxOFVVTr6fs5bly3dSVGhm+glDKSg0o9WkbkluF4OVHsYcNrlqm8RuHnw4eWKzAUEQmhGMRInG4knjtc7kM8RtiUqmoFRvplRvbtVx5Bp0XDVpNPd83XQn0RMG9MamO7iWBrVBB+uc2/mqagEKiZzji8bRVV+ERZm6c79BYWFc7gnMqX6/SayvcRQ6uWgfIAhCcqFIlFpH8mtJdb2HUCTaphNpsLcfd6HeQKG+de+9JVId6K8hHvwRCDcOSvNBNfqg3s/p9bO9xs5b85Zj9/o5cmAPxvbpTKEldZNsRo2K6w8fxy/Pv8Wf70isWg2Hde2Uss8S0ietf8HPPfccr776qkikCQckHRVSQnJyuZzi4uKkPekOpvpv2/YarrnudXy+vTP4S4BPP1/OzTcey8QJvVGpUjObk6cx8MKEM7h7+bfM3rOBaDxOnlrPTYOmMDavc0o+QxCE9kunUmLRa7B7/AnjPYpyMjyi9k0hkzF9UF+MajWP/DCfKpcHo1rFeWOGcuqwARg1Bz6pVBt0cPvq59nk2d1w7Je6VYy1DeCqnqdiUabmIUcuVTLGdgwKiYp5NR8RiPmQS5QMtx7BxLyT0MrFhI0gCMnpNEqG9CxmT03idiQj+pSiSdF9sfAbeRcktreIu/4L4RWADFRHITHcgERWdMBv4/IFePmHJbzw3e/9y37ZsJN8s56X/noaJbbUTaR0z7Hx4l9O5vYvvmNHvQOAUZ1Luf2YKRSb23ZlfEfRtlPhQruSygop4cAolUpKS0sPaZdUh8PHvfd93pBE+6MHHvqKAQNKKSwwp2zMxToT94w8jhuDUwjFoujlSvI1hqxqIioIQnbKNem48tjDuPOd75rEBncppMAikiSpZtFqOHFwX8Z260QwEkEhk5Gr1yI/iGt6PB5nbs3yRkm0fX6uW8WxnrEMS+GSXL3CzPi8GQy2TCAUC6CQqtDLzSikbXvTI0EQ0k+tVHDutBF8vWAD4Ujj1TQ6tZJjx/ZrE7tbtyUSiRIUA8HyLMTcgAyk5r3VagehyulplERrOO7w8PTXv/KPU6agSdFST41SwWFdy3hj5mm4gkHkUilmjRrTQUwwCa3roBJpc+c2Lc1vTmVl5UG9XkjM4fRRV+dh2/YaLGYdJcUWcnIMyGSZOQn7fEHsDh8BfxitVonVqktZhdEfpbJCSjhwcrn8kL5bl9vPps1VCWPhcJTt22pSmkgD0CtU6BWqlL6nIHRkvkCIOrePDXtqAOhVnIvNoEWrzkziIBKJUlfrweMOoFTJMZu1GNKwAYtMKuXIwT2QSiQ8/tnP1Hv8yGVSjhvehyuOPQyrIbO7J3cUEomEfGPLe7Q5wm6+KJ+fND6r/CcGmLuhlKbu3kQmkWEW/dAEIWWisRjVDg87qx3Uu3x0K7KRa9Zj0WeuT3BdvQen2w9xMBo15FjT0zuyOM/Mszefxl2vfMOmXXvbkQzsXsgt5xxBoU1UG6WLRGoBqaXFP//dyk1JY18sXc9fpx2WskTaPrkGHbmGg0v4CdnhoJ6eJ02adFBVH/F4XFSJHKLaOjf33v8Fixdvazim16u4567T6NWzMO3JtJoaF0898z1z520gFoujUMg44bghnHnGGKzW1P/Rp6JCSsisWDP9hgCCofbR204Q2iuXL8BHv6zhkU/mEYvv/XuWSSVcfcJ4ThzTD6M2vbOjLqePb79ezSsvzMXn3btj4sAhZdxw83EUFbf8hjgZs07DiaP7M7ZPZ/yhMEq5DKtBm/KbYyF14nEIxZPvABqKhRt+dwVByD7RWIy1O6r46+Mf4fb9vjPu6L6duOOco8g1p3czlFA4yobNlfzvoS8or3QAUJBn5Oarp9G/T1HK+5Up5TL6dy3kiRtOweULIEGCSa/GlMGkoXDwAs3sNB2NxYg36WgmdGQHddaQyWTk5eVxwgknHNDrf/jhBzZtSp7ZFZoXCkV4550FjZJoAB5PkL/f9A4vPHchBfnpa3rrdPr4v/u+YOmy7Q3HwuEoH3y0mFg8zsUXTUJ9CJVpzlCAuqCXuoAXo0KNTa0lR60/5AopIbMMejVFhWbKKxxNYhIJdO+e6W2wBUE4GFsq6njo48YV59FYnIc+nsugLgUM7pp8t9xDFY/H+eWnTTz16DeNjq9ctpMbr3mDh586l5zcls/eB8MR6pxeapxeZFIpOSYtOSY9cplULONsQ4wKHRNzh/DurqZLcgGmFoxCLRPLLgUhW1XZPVz+yAf4go2bwf+6dgevzF7MVSeOQ5XG5vsVVQ6u+cfbRCKxhmOV1S5u+Pd7vPjITLqUtbw/Zjwep8buwe70EQhFyLHosBj3VnRbjFosRlHp3FZMGdCdF79bnDA2tldn9GqxGkb43UGdsfr27UtdXR1PPfXUAb3+/PPPF4m0Q2C3e/nsi+UJY35/iM2bK9OaSLM7fI2SaH/06WfLOOWkERQWmlv03lV+N7cv+ZrZezY0HOtpyuWpsafQ2WBt0XsKrcNm03P9dUdz483vNKlOO/P0MVjMolxZELKVLxji5W+b9gPZ5+VvF3P3zLy0NUauq/Xw0nM/JoxVVTrZsb22xYk0lzfAFwvW8egH8wiG91bGGrUq7rr4GIb2LEnrQ5uQWnKpjOMKx/Jt1SLqQ65Gsa66IvqburbSyARBOBDrd1U3SaLt8+FPqzj7iKEUprDP4R+Fw1E++nxZoyTaPtFojLc+XMQNlx+JSnXw14RoLMb6rVXc/OAnDTt1ymRSzjp2OGcdMwyzSKK1KSVWE5P6dWXOmq2NjmuUcq4/YTwGjUikCb87qHWBw4YNo6Kigurq6nSNR/iDcDhKMJi8xLSyMvFuMKlSW+NOGotEYng8gRa9rz8S5uHVPzZKogFsdNZw4dy3qfYn/1whO/XrW8zTT57HuLE9ybHp6d2rkDv/czKnnjICnU5cdAQhW4XCUSrtnqTxCrubYDNLHQ5VMBimrjb5OX/j+ooWv/f6ndXc9/achiQagMsX5NrHP6GiztXMTwrZKF9j5eHB13Ja6eHkqSwUaXK4qOsJ/HfAJeSozK09PEEQmlFel/yZJRCOEIqkrw2IPxBm7Ybk15L1myrwBZpumHUgqmrdXPW/9xqSaLA3OffarIX8tGxrMz8pZCOrQcu/TjuC/555FN0LbOSZdJw4qh/v3PAXOueJQg+hsYNKvQ8ZMoSXX36ZJUuWMG3atP2+vnfv3kyYMKHFg+voVGoFOTY9tXWJH3J69ihI6+ebzMnX8UskoNG0bBlFTcDDR9tXJYxt99ip8LnJ04glN22JSqWge7d8br7xOHy+IEqlHGMaGoULgpBaWpWSwV2LGjYZ+LPBXYrQqtK3ZE6hkKHVqRp6o/1ZcWnLblxd3gDPfPpLwlgkGuOTn1bz15PGiZ3T2ph8jZVzOx/DjOIJSCUSTAo9Uon4NxSEbNe3LD9pLNekQ6NMX4WwSimnqMDM+s2JN8ErzDehauHnL16zE3+SSrsXPpjP6IGdybGkt/+bkFo5Rh3TR/ZjfN8uRKMxjBp1i38/hPbtoO4+rrrqKmKx2AEl0QBuuukmfvjhhxYNTIAcm54LL5iYMFZWZqO4OL2ZcatFT2lJ4s8YNbIbZkvLypV9kTDhWNPy6n3KfemttBPSR6tVkpNjEEk0QWgjlAoZZ04cjFIuaxqT/xZTNI2litWm56RTRySMabVKevYqbNH7BsMRdlU7ksY37a4lHBYbobRFCqkMm8qERWkUSTRBaCNKc810KUj8TPHXGWPJNaUv2aRSyTnjxMTXGYCzTxmFtoXFAZt2JF+lVVnrJhJN/rwjZDerXkuuSS+SaEJS4g4ki0kkEsaM7s71105tSExIpRLGHtaDe+46DZstvTMcNpue//33FIr/tGta3z5FXHv1VPS6lu3kppMrUUqTP5iV6Mwtel9BEATh4JXYTLxwzal0K7Q1HOtWaOOFa06lxJa+PpwAcrmM408cxqTD+zY6bjZrufeRs8lrYR9QtVJO1z/89/xZ384FKd+lTRAEQUgs16zn8b+eyKRB3ZBKJACYdWr+cdbhjO/fFclvx9KltMjCTVdNbTQxJJdLufaSw+naqeUbDfTtlnyypyTfjCLBJJUgCO1Dxu8i77jjDv773/8SiaSv50p74HD4qKx08MOP6ykqMvPwg2cTjcZQqxWYzVp02sz0nSopsfLwA2dTW+emrs5Dfp4Jm02H+RAayOeq9ZzdfRgvbVzYJNbLlEeBVizrFARBSDdfKESVy8M3GzbjD0f478ypKCRS5FIZJp0aqyEzTZKtNj1X33A051wwnvLddgxGNXn5Jmw5BqTSlj1cGbRqLpt+GIvufadJTCmXcdyYPi1+b0EQBOHA7XG6WLJrD2sqqjjlyEH8dcZYYrE4erWKXLMuI0vsdToVR0zow9CBZeypcBCLxSkttmAx61AfwmY6g3sXY9CpcCdoT3DZ6eOwiQ23BKHdapXp2Hg8vv8XdWB2u5fHnviGOT+ub3R82tEDueiCiRlLou1js+lTWv2mlsu5tPcYApEw725bTvS334cROaXcP/oEctWil4AgCEI6+cNhvtu4lb9/9CX7rshPzltAZ6uZF88+OWNJtH0MRg0Go4ayQ6gM+LMexTb+d9E07nnze9y+vQ85BVYDd144jaKc9OwOJwiCIPxuU00tZ7/2Hg7/3g3KXlq4DJVcxstnnUwXszWjfSpVKgWF+WYK880pe8+CHCNP3nY6/3jkU3ZW2AFQq+RccupYhvcvS9nnCIKQfcS6hiy0as3uJkk0gC+/Wsmkib0ZMbztb/Oeq9Fzy+DDubj3aJzhADq5EqtKi0UltokWBEFIt2q3lxs//oo/T2ttr3fwyJz53HHs4WgULZ+lzwY6jYojhvVgcPci7G4/MqkUs0FDnllM1giCIKRbndfH9R9/2ZBE2ycYiXLFe7P4+KK/UGhs26tQJBIJ3ctyefK203G4fYTCUcwGDTazTrQPEIR2TvyFZxm3x8977zdd8rjPex8spH+/khbvmJlNdAoVOkVmq+sE4WC4PX4i4Rh6vRpFGhuuC0KmLdi+i1iS6vAv1mzgmkmHUWxu24k0ALlMRoHVSIFVVKAJ2Skc8xOJ+ZFLNSikYqMeof2w+/xsqK5NHPMHqHR52nwibR+bWSeWcQpZKxKL4on4kEmkGBTi9zRVRCIty0Qjcbyepuvs9/F4gkSiYqcxQUgnu93LmrV7eOe9BXjcAUaO7Mb044dQUGAWfZWEduHPFQJ/FI7FiDazs7IgCIcuHPPhDu1ilf0VHMGtmJSd6G+diUnRCYVMPOgIbV9oP88r/nA4QyMRhI4pHo9TFahjduUvLKhfiUamZkbxFPqZumFRignGQyUSaVlGr1dx2JjubN+ReAZn/LheaDWiiksQ0sXp9PH0s9/zzbdrGo7t2FnHF1+s4InHzqWsLPlOgILQVozqXJI01isvB52q7Vc9C0K2isUjVPgW8mPFLfDbAmtXeDu7vD8yNv8OOumnIJO2/YpQoWMza9ToVUo8wVCTmFQiodgkHuQFIZ0qAjX8bfkDuCO+hmP/t/5FxtgGcUX30zEr20dFaGvJXIdH4YDI5TKOPXYwRoO6Scxi1jJ5Uh9kstb9ZwuHo1RWOlm3rpwNGyqornYRjYrqBaF9qKpyNUqi7eP1BXnuhTl4fckrRgWhrSgxGxndqWkyTQL88+jJ2HSt36+y2ulh/e5qVmwrZ3etA39QVC8I7YM/UscvVXdBky6FsLDm//BH6zI/KEFIsVy9jr9PGZ8wds6IwVlxnXG5fOzcWceaNbvZsaMWp9O3/x8ShDYgEAny5o4vGyXR9vmlbgWVgcRFO8KBExVpWagg38Tjj53LSy/PY+68DUgkMGVSX849ZywF+aZWHZvHE2DevA089uS3BAJ7H2oMBjW33nw8gweVoTqELaQFIRv8NH9j0tgvv27G4w5kfOdcQUg1m07HfSdO491lq3h1wTKcgSCDiwu4+ciJ9M7PbdWxxWJxNpbXcO3zs6iwuwGQS6WcM3ko504elvEdRQUh1QJRO6GYK2EsHPMRiNShVxRkeFSCkFoKmYxj+vQkV6fj/h/msbXOToFBz5XjR3NEz27oW7nyuabGxX33fs6SJdsbjg0YWMottxxPfis/bwnCofJEffxcuzxp/MfqxfQ2dsncgNohkUjLQhKJhJJiK3+7fhqXXjwZJGA0alBnQZJq+/Za7nvwy0bH3O4A/7jtfZ5/9kI6d8pppZEJQmrsdyt2ieiRJrQPeQY9l48bxamDBxCLx9Eo5Ji1rd/svNLh5qLH38ft/736MxKL8dJ3iym2mTjlsAFIxN+h0Kbt5/dX/H4L7YRJo+aIXt0YXFxAKBpFLpWSq9e1+jnc7Q7w0INfNUqiAaxauYu775rFHf85GZNJTNoIbZtUIklU+PxbTCxMPFQZ/wbj8TjxJDuFCY1pNEry8ozk5RqzIonm9QZ59fWfEsZisTiffraMSERshCC0bePG9kgamzC+V8Jl14LQVsmkUvKNegpNhqxIogEs31reKIn2R89+/Ss1Lm+GRyQIqaWWmVHLrAljSqkBTZKYILRVOXodRSYjeQZ9qyfRABwOLwsWbEkYW7VqNw67WOIptG0GuY6JucOSxiflDc/gaNqnFiXSduzYwYcffsiHH37Izp07D+pnr7vuOrZt29aSjxVaWSAQZtdue9L41q01hEKRDI5IEFIvN9fIjBOGNjluMmm44PwJaDSiCbsgpNPG8pqksWqnl7CYsBHaOK08l8Py/4UE2Z8iEsbk/xONXFT3C0I6+XxNN0D4I7cn+c7WgtAWqGRKTiudikXRdFOPw/NGkacWm6cdqoNe2nnNNdfwxBNPNFSVSSQSrr76ah588MED+nmTyYTJJNadt0VqtYJOZTaqqpwJ4z175KNSidXCmeKLuInGI2hkOuRSkdxJFaNRw7nnjmPcuJ689/4iXG4/Y8f0YMrkPhQUmA/5/evqPXg9QWQyCUajFoOocBOERvqU5iWNFVgMKOR/Tj4I6eINhfCHwqgVcvQq0RsyVSQSKfmaIRxX9jrrne9gD2zCrOxKb8vpGBQlSCWHdi/lj3jwRd3E4lHUMi0GhahwE4Q/0ulUSCSQbJGUuDfLnEg0itMbQCqRYBE9UFOqQJPD/YNv4OfaZfxcuxydTMP04sl005dgUugP6b1DoQj1dR6CgTBqjQKrzYBC0bHuzw7qSv3KK6/w2GOPodFomDhxIgA//vgjjzzyCEOHDuUvf/lLWgYpZAedTsXMc8axcNHWJjG5XMqxxw5GJutYf0CtwRN2sMO3nnk1H+ONuOiuH8TY3OOxKPORScT3nwpmk5ahQzrTp3cRkUgUrVZ1yLvl+gMh1q4t56FHvqK83AHA4EFlXHvNVMpKxayQIOwzsFMhJq0ap69pRcDl08aQZzq0mz9h/3yhENvrHTw1byHrK6sps5i5fMIoeublYFSLhFoqyKUqzKoujMi5nkg8gFyiRpaCSbHaYDmf7XmGLd6VAFiUBRxfdAmddH1QSkVyQBAAzGYt48b1Yt68DU1ig4d0wmLRtcKoOp7yWicfzF3JD8u2oFEpOGPKYMb07USOWVznUyVPbWV68WSOLBiDTCJDIzv0a3hdrZv33viFzz9aQjAYQatVcsrZYzh2xjAs1o7ztyOJH0TDsokTJ7J48WIWLlxIv379AFi1ahWjRo1i5MiRzJkzJ13jTCmXy4XJZMLpdGI0Ni13FJLz+YL8umALDz/6NR7P3h42VquOW28+nv79SlAqRUVaOvkibr6ueJXF9u8aHVdIVFzW/W4KNJ1bZ2DCfq3fUMGVV73SZPbTbNby5OMzW31H3kMlzquNie+j5eLxOJsr6rjhpc/YUb23nYBKIeOiI0Zy6riBWPRixjqdYvE4czdt47K3P2nSo/j2Y6Zw4qC+qBWt37dVaMoRquGZLTfhiTRuwyFBwkVd76JM17uVRpYa4rzalPhOWq621s1jj87m5583NtybjRzZleuun0Zenvgu0213jYOZd7+Nw+NvdHxknzL+e8HR5Jg6TkKmLfG4/Tx67xfM+XZtk9gpZ41h5iUTUWVBb/dDcaDn1YPKeqxatYqTTjqpIYkGMGDAAE488US+/PLLZn5SaC+0WhUTJ/Sif79iHE4/UokEk1lLji07moe2d85wXZMkGkA4HuSz8hc5u9ONaORiFifbeDwBnn9hTsIlBA6HjyVLtnHsMYMzPi5ByEYSiYQeRTm8eNWp2D0+QpEoZp2GHKMOlUJM1qRbtcvDPz79JuFGX3d9/SPju3WmxNK2E//t1Tbv6iZJNIA4cWZXvsrZnW4V9wiC8JucHAN/v/FYLnZMxuMJoNOpMJt1YllnBgRCEV7+alGTJBrAwnU72VpRJxJpWcph9yVMogF88t5Cjj95GIVFlgyPqnUc1B2p0+mka9euTY5369YNl8uVskEJ2U0mk5GXZyIvT9xIZ9pm9/KksW3e1fijXnGTnIX8/jDr1lckjS9ctJVpRw9EKhVbUQvCPjlGHTlGcSOdaXa/n1pv4h3rQtEo5U6XSKRlqebuEXb7NxGKB9Ag7hEEYR+9Xo1eLxJnmeb0+vlm8aak8U9/XsuIXqWiSCML1dW6k8bC4SgeVwCKMjigVnRQT23xeDxhDyyZTMZBrBAVBKGFpM30QJMgERecLCWTScmxJX94KS6yiCSaIAhZQbqf64hMnKuylk1VkDRmkFuRNtklVBAEIfMkgEya/Fojl0vFM02W0u0n8azStO1lnQfjoO+GvF4v1dXVjf7P4/EAUFNT0yRWXV2d8kELQrYKBsPU1XlwOLxpef8ehsFJY70Mw9DIRPVGNrJadZx1xpiEMYkEpk4dkOERCYLQVsVicWo9XqrdHsLRaMrf36zRUGQyJIzplAoKjIljQusbYB6PJMmt/fjckzAoOsZyG0EQDp3T46fG4cEXCKX8vS0GLceN6Zs0PmNsv6QxoXVZrDqKShJfS/oNKB5+QKgAAM47SURBVMFs7jh9bA+62cj999/P/fff3+R4PB6noKDpTJhEIiESibRsdILQRkSjMSoqHLz97gIWLd6KXqfm1FNHMHJ4V6zW1C2jMCisTMo7hTnV7zc6rpHpObpwJmqRSMtaI0d25ZijB/LFVysbjsnlUm6+8TjyckVTW0EQ9q/S6ebLVRt4d9EqwtEYxwzoyekjB1KcwqWW+UY99804mvNe/7BRok4C3HXCUeQZxHUmW5nkOZxedgPv7XqIaPz3e+/B5kn0NY5qxZEJgtBWONw+Vm2p4IXPFlBj99C3SwEXTx9NWZ4FdYqayCvkMs48fAjfL9tMRV3j9lBHj+xFab5I+mcrW46B/9x3Bjdd/Tp1Nb8v8ywutXLjv2dgNHWcRNpB7do5adKkFpVZ/vDDDwf9M+kkdrgRUm379lquuOoVAoFwo+OHjenO364/JqXZeV/ETU1wNz/XfIYn4qCXcRgDzeMwK3JFGXSWc7v91Nd7Wb+hAo1GSY/u+Vituja/uw2I8+qfie9DSLUqp4fLXvuIDZW1jY7n6HW8denpKU2mhaJR9tidvLN0FSv3VNI1x8o5IwdTajGhVSpT9jlC6oVjITwROxX+bQSiPkq0PdDLzWjlbb+SUJxXmxLfiZBKHn+QV75YxMufL2x0XCqR8PgNJzOib1lKP6+y3sXPq7bz1aL1aFUKzpgylF6lOVhFf9SsV1Ptonx3PRW77ZR2zqGgyIwtp+1fZyBNu3bOmTPnUMclCO2OxxPgmee+b5JEA5j/y2YqKx2HnEirqnKyfn0F6zaU07lTDkMGd+LkkquJSyIopRqkEtGzpi0wGDQYDBo6dcpp7aEIgtDGLN2xp0kSDaDW4+XdRav46+FjUCToY3ug6pxedlc7mLt8CwatmolDuvHX8aOJS0CtkB/SewuZo5AqsSjzsSjzW3sogiC0MfUuH698sbDJ8Vg8zv9e+YbnbzmdHHPLV9p4/EGqXB5+WLMFTyDIxL5dOXx4D6aO7IVcJkWtbPsTyx1Fbp6R3Dwjg4Z2bu2htJq07yNfU1NDbm5uuj9GEFqN1xdk4aKtSeNzf9pA794t375kx45arvvbmzgcv++iplYrePC+M+nVq1BUoQmCILRzgXCYD5euSRr/YtUG/jJmCLktXHZZ4/Bw2zNfsGT97oZjT7z/E9eeMZETxvcTSTRBEIQOYNPOGpKtVdtT48TlDbY4kebyB/lgwSoe+Hxew7Hnf1jMyO4l3HPmNPI0YkdhoW1JSxlLPB7niy++4OSTT6a0tDQdHyEIWUOCBJks+Z/SoSzbczi8/Pd/nzRKogEEAmH+8a8PqK31tPi9BUEQhLZBIpGglCdPZilkMlo6pRKLxfli/tpGSbR9Hn77Ryrrkm91LwiCILQfCkXzkybSZnba3J8Ku6tREm2fhZt38+WyDcRiB9xtShCyQkoTaVu3buWf//wnZWVlHH/88Xz00UdYLKJZYKpEYzHKvS42OKvZ7q7HHQ609pAEwGjSMGVy8p1nxo/t2eL3djh8bN1WkzBmt3upqxeJNEEQUstR7WTnut3sXLcbe5WjtYcjACq5nDNHDkoaP33EAKy6lrUQqHN5eeeb5Unjn/2UvBJOEAShJbz+ILurHGzZXUtlnYtoNNbaQxKAbsU5yJMUB/TulIdJr27xe3+4cHXS2GvzllLr8bb4vQWhNRzy0s5AIMD777/Piy++yI8//rj3TeVyZsyYwfnnn8+0adMOeZB/5na7ue222/joo4+orq5myJAhPPLII4wYMSLln9Waavwe9vicbHBU089SwGp7BfevnIM95EcCTCrszu3DplKiM7f2UDs0tUrBzHPGsXTpdmrrGie2zjhtFLm5LW+8GA5Hm437/anfkrq9CUWi1Li9+IIh1Ao5Nr0ObTto7i8IqeBx+bHXeVi3chcWmw6dXMJDFz/N9jW7ACjrXcz1z19Oz+FdUYjeJa2qd1Euh/fpxnfrtjQ+XpjD1P49W1wpEI/FcfmST8zVOcXDzYGocntwBQLIpFLMGjVWbcfZuUwQmhMOR6mt87BlSxU+f4je/Yp4/J15zFu2lVg8jlGn5pKTxnDk6N6YDZrWHm6HZjNq+ef5R3H78181Oq5TK7nt/KOwGFp2XovF4tS6k19LnP6gqEg7AE6PH4cnQDgaxahVkWvWixY/rajFibQlS5bwwgsv8NZbb+FyuYjH4wwfPpzFixczc+ZMnn322VSOs5GLLrqI1atX89prr1FUVMTrr7/OEUccwdq1aykuLk7b52ZSudfJpT+9x1pHFQMshZzYeQD/WTa7IR4HfqjYzLY5dbw55RzyNe1jl4y2qrDQzGOPnMPCRVuZO28DJpOGE6cPo7TUhuEQbgqMRg1qtSLhRgZSqYS8PLFDU3PqPD7enL+cV35agj8cQS6VcsygXlw7dSz5JvE3I3Rsjnov7zz/Ix+9Ph+ZXMp/HjyDvx/1P0KB3xP0O9fv4W+Tb+eZ5fdR1qekFUcr5Oh1/Hv64Zw5ahBvLlhOKBLlpKH9GdKpkHxjy89nWo2SEb1L+WnltoTxKcNbXlXdEfhCIRbt3MO/vvqOCtfeZbD9C/K557ij6JFrEw85QocWCkVYvmInt93xEaFQhOuuP5qbH/2ULXvqGl7j8ga4/7UfUMhlnDBxwCEtHxQOjVqlYPKQ7vS44xze/345e2qcDOtdytRRvSi0tXxnaKlUwlEDe/L1yk0J42N6lGHQqFr8/h3B9sp6/vPKbFZsqQAgx6TjxjMmM6pvGXrx3bWKg0qk2e12Xn/9dV544QVWrVpFPB6npKSEyy67jJkzZ9K7d2+k0vTuHuj3+/nggw/45JNPmDBhAgC33347H3/8MU899RR33nlnWj8/E7zhIHct/5a1jioATu82mCfW/pzwtds9drb8P3v3Gd5mdTZw/C892luWvGMncfbeITthJ0DYBAg77JYy2lKgjFLKKPAyCh1AyygrEPYeYSRkAEnIIIvs4TiOtyVrS4/0fkiTYCzZiS3bknx+18UHntuRThT5Gfc5577dNSKRlgJyc63MPGUExx83GJVKiaqZejaHKyvLxJxLJ/PPp75qEjv9tJHYrGLGO5FgJMJLS1by7wXLDx6LRKO8v2oj1Q1eHjrvJOxGMfMpdF0b1+zmnZeXAjBmUh8WzVvSKIl2QCQc4c3HPuS6J+ag0Wk6epjCzzhNRpy9jYzqUUgsFkOnbvsqQZNey6/OnsR363cR+cX2qqJcG4NL8tr8HplsS1UNV817l5+vpVi3r4LZL8/j3TkX0M3W+odPQUh31dUN3P6nt4hEohgNGgwWbaMk2s89/dZSxg/rSW6WeKbpTAa9hr5F2fzhwmMIh2W0GnVSkpvDuudT5LBSWuNqdFwtSfzmxAkYteL+IpHyGjdXPDyPugb/wWPVLi9/ePpDnvrtWYzpX9yJo+u6jiiRVlBQQCgUwmAwcMEFF3DxxRdz7LHHduhsWyQSQZZldLrGe7T1ej2LFy+O+2eCwSDBYPDg/7vd7nYdY1vVBH18Vrbp4P/bNHrKfYnHvKamjAm5PTpgZMLh0OmSt/1JrZY44fghZGWZePa5hZTvc5GVZeTC2ROYOrU/RqOYgUikusHLi4tXxo0t3bqbGo9XJNKEpEm364zb5eO1/yw8+P9FxQ5Wzvsm4c9vWLoJn9svEmkpQqtKbtP17vlZPH/n+Tw+dyE/bNqDVq3i5IkDufSUseSIh9qE3IEAjy5cQrwNSe5AkC+3bOOSMSM7fFxC5kq3a82yFTuIRPYn6LNzLOwsr0v4s7VuH4Fg0x0YQudQSRKqJHZszrOZefbqs3nmy2W8/8MGQhGZsb2K+MPMKXTPFjXVm7Nyc1mjJNrP/e2txTx5/RnYxbboDndEd2LBYBClUskll1zCr371KwYOTFxgvb2YzWbGjx/PX/7yFwYMGEBubi5z587l+++/p0+fPnH/zAMPPMCf//znDh5p6wXkCNGf9R6ORKMYVRq8kfj1sIpN4uSTySyW/c0Mhg0tJhyWUamUOBxiT3xLGvxBgpHENeb21LrpnevswBEJmSzdrjORkExt1aFujC6XH2e3LDav2Bb357OLHGj0IomWqTQqif7dc3noN6fi9YdQKsBmNqDVJDdhl2l8oTAb9lUmjH+7s5QLRg5L6sOo0LWl27WmfN+h1Udutx9nMzspNGoJjVqcczJZgd3CbadN4+rjxhKLgUmnwaJvfQODrmL5ptKEsU27KwmFIx04GuGAI9qHeccdd9CtWzf++c9/MmTIEMaMGcMTTzxBZWXim4j28NJLLxGLxSgsLESr1fLEE08we/ZspAQ3Krfddhsul+vgf6Wlib+MqcCk0mDVHDqpfFy6kTN6DIn7s3pJzbCsgo4amtCJHA4TeXlWnE6zSKIdBr1GTXMfk8MktsUKyZNu1xmDScvA4Ye2Aiz5aiPHXXpMwp8//9YzMIjZzoxnMerId1rIdVhEEu0wqCWJXLMpYbxnlk0k0YSkSrdrzYifXWdqa73YDDpMhvi7KWZOGUyWRdybZTqtWkW+zUKB3SKSaIepR17iRTM5dhNSgk6rQvs6ok/9nnvuYceOHXzyySecddZZrF27lhtvvJFu3bpxyimn8Nprr7XXOBvp1asXCxcuxOPxUFpayrJlywiHw/Ts2TPuz2u1WiwWS6P/Ulmu3swNgyYf/P8v9m5mbHYxk/NKGv2cWa3lxWmzyTOk9t9HEDpDltHA1H4lcWOFdgu51sQPP4fL7Quws6qWZdtL+am8iqpmOhIJmS3drjM6vYbzr5qGpNp/G+BtCLB2bRmX/OV8lD+7IVMqlVz+wGx6Du3eWUMVhJTlMBr41aRxcWNKhYKzhg1u83tEokE84b1U+tdQ5V+LN7wPOSZWH3RV6Xat6VWSQ37eoTqBL7+4lLsvPxGLqXECZczAYi479SiRwBeEOI4Z0RtVgmTZnBljcVqNbXr9WCxGVZWbzZvKWbN6N3vL6vD5gi3/wS5OEYvFWt1rtra2lhdffJHnnnuOdevWHVwlM3z4cB5//HEmT57cwiskR11dHT179uShhx7iqquuavHn3W43VqsVl8uVsheg2qCPj0s38vjahdSF/BhVGh4cewrdTXa2N9Rg1xroYcoiT29GaucGD4KQrsrr3dzw8gesLzu0ajbPauLfc86kJMfRpteudHt44IMFfL7uUAeiHk47f7/4VHpmZ7XptdNROpxXO1I6fB6hUIStG/byt3veZdfW/b8j518+haNPHETpT2XEojFKhnXHnmNFL1ajCUJctT4fTy9dzgvLVh6slaZVSTw8czpTe/VEr2l93dSg3MDOhvn8UP035Nj+hxq10sjE3LvJ049BLXWt1RzpcF7taOnwmZTvq+fv//qS777fRjQaY/SoHlx51TRcviD1DT56FDjIthmxidVoghBXMBxhxaZS/vDUhwRChyZSTp80mF+fPrFNKzllOcq2rRXc8cc3qKnxAPu7rJ5+5mhmXzABu71tSbp0dLjn1TYl0n5u+fLlPPvss7z22mu43W4UCgUlJSXMmTOH2267LRlvcdBnn31GLBajX79+bN26lZtvvhmtVsvixYtRH0YHq3S46ADI0SiVAQ++SAitUoVDZ0SvSl4h+wMCoTANgRBqlRKbQTwsCZmlusFLpdvDrpp68qwmCmzWNq9GC4YjPPTxN7z23ZomsXybmVeuOS8pK97SSbqcVztKOn0e9bUePG4/CqUSs1WPpR26ActyFJd7f6Fcq0UvtiEIGaUhGKTG62NTZTV6tYoSRxbZJmObm0JU+Fbxedm1TY4rUHJK8cvYtPFXXWeqdDqvdpR0+Uy8viAul59IWMZg1OJ0tM89Ur3fT1iOYtJq0Cehq7EgpIpwJEK1y8euijo8/iC9C51kWQxYDG2bUNlXXs+Vl/8Hn69pLfbf3HACp50+qsuVFDrc82rS1s+OGTOGMWPG8Nhjj/HGG2/w7LPPsmjRIu64446kJ9JcLhe33XYbe/bsISsri7POOov77rvvsJJo6URSKslvx22b4YhMaa2LZxcuZ9n2PTjMBq6YOpqR3QvJEvWjhAzhNBtxmo0MLMxN2mtWNXh5e8W6uLHy+gbK6lxdLpEmpC9blglbVvt9Xyur3MxfsIFP5u//nZlx/GCOnzaQnOzUfegTUl9ADlIfasAnB9FLWmwaM3qpczpZm7VazFotPbKS1/wpJDfwY+2zcWMxomx2vc2o7BuRFGIrnJD6jAYtxgS10ZKhxuvjh7Iynv5uBdVeH+OKu3HVuDEUWS1oktzlWOg6ZDlKTXUDDQ0B1GoJq9WA1dY5z8hqlYp8h4V8R3LvnX78sTRuEg3glZeWMGlyP5xO0b07nqSfWfR6PRdffDEXX3wxW7du5bnnnkv2WzBr1ixmzZqV9NftarZUVHPBU68T+l9nw731bm54+UPOHTuUG06ciLWNGW6h64pEIsiyjCzLSJKEJEmoMuhGJhCOHPy9iaeszs3IHoUdOCJBSE2VVW5u+uPr7Nlbd/DYMy98w8efr+Wx+88VyTShVWqDLl7Z9QnzK75DjkVRouTonNFc0nMmDq215RdIA3IsSEN4T8J4fWg70WgIScqca6sgtIbL7+dvi7/l1dU/Hjz21roNfLBxE69fcC5D8pM3kSp0HZ6GAN8u2cJTT87H7dq/or5vv3z+cOdMuvfI7uTRJc/OHYmbRtbWeok087zT1bXr3orevXtz//33t+dbCK1U5/Vzz3tfxk0GvL7sR1E0XWi1UChEaWkpW7ZsYfv27WzZsoXS0lJCofizHenIoFGjb6ZFe7HD1nGDEYQUFYvFWPL91kZJtAP27K1jyfdbSVJ1CaEL8UX8PL/jfT7dtxQ5FgUgSpQvK5fx1NY38YR9nTzC5JAUemyaXgnjDu0AJGXnrMAThFRS6fE1SqIdEJJl7p7/JXU+fyeMSkh3G9aX8dC97x9MogFs3lTO7657mYp9rk4cWXL161+QMJabZ0XdzPNOV3dEn8yyZcta9SZjx45t1Z8T2k9DIMja0oqE8e+3ldI7t23F2DNFbdBHSJbRq9RYNWKVXnMikQhlZWV4vY0TsV6vl7KyMoqKijJiZZrTbOSiiSN5ZkHTc2KvnCwKbGIJtCA0eAJ8+kX8LdAAn8xfx7FTBmCxiNqcXn8IbyCIpFTiaGP3rUxXH/awoHJF3NjSmjVcGp6JSZ3+5Sk0kpGhjssp8y0FGieclQo1faynoVRInTM4QUgh35WWJoytKa/AHQxiFzWgiURk6tw+QIHNrEetFuePROrrvPznX1/FjbnqfaxbU0puXmasfu4/oACr1YDL1XQS6rLLp+Bop3qGmeCInmjHjRvXqmJzsiyWBKYaZQv/jGpRCJq6oI8fqvfwxPpFlHrq6WfN5vdDj6afLRuzWiTU4pFluUkS7QCv14ssyxmRSNOoJC6YMJxAOMzc79YQlvevihjVs5AHzj6RbIu46AiCUqFAUiW+lqhUShQtXYwyXCgcYXdFHU+99y0/bCrFbtZz8fQxTB5aIhJqCXjCPqIkXsnojnjJlI31Vk0PpuY/wHeVfyUo1wNgUOUyKfdujKr8zh2cIKQIjdR8QqiL1UmPa1+Vm7c/W8WnCzYQjcU4YfIAzjlpJPk5mZEMSrZwWGbHtsRbHn9cs4tjTxzcgSNqP7m5Vh7724X85c/vsGNHFQA6nZpLLp3M2LGJV0ULraiRplKpOP7448nOzpy9wV2RVa9nQu9ilm7dHTc+tqSog0eUWnyREK9s/YHH1n1z8Njy6lLO/epFnhh/BtO79UdSimTjL7WUNM+kpLrTbOT6EyYye8Jw3L4gBq0au0GPzShmPQUBwGTScfrJI1i/cW/c+OmnjMBs6tqTElv2VHP5X18j8r9kfIMvyL3/nc+xo/pw24XHYjOn/8qqZNOrmt/OaJAy5zulVhroZpzMyUUD9ifSFEp0kg2DStyDC8IBY4u6JYxN7F6MTde178v2Vbn59V2vsa/KffDY6x/+wJdLN/H0feeTly2Sab+kVCrIzrVQVeGOG8+kGmkA3Xs4efjR2bjqfYRCESxWPQ6HSWzrbMERfTrDhw9n9erVzJ8/n5NPPpk5c+Zw0kknoRQJhbRj1mu5bebRXPjUa7j8wUaxm06chKOL37xXB7w8uX5x3NjdKz9jpLNbu3ZUTaawLOMNhNCoVRg07dvZVmphVrCleLrRa9QUZdkgq7NHIgipaeTQ7gwZUMjajWWNjg8ZUMjIocWdNKrUUO/x8+ArXx5Mov3clz9sYc7JR6VVIs0V8kNMgVXbvoksq9rMIEsv1ru3NYn1NhVhVWfWimClQsKozsWoFgXTBSGebKOBP0ybxEMLGt+3W3Va7jxuGhZd160lGIvFWLR8a6Mk2gHVtR4++2YjF54+FilNdiL5AiHCERmTXtOuzxRZDhMXXDyRxx/+pElMrZYYN7F3u713Z7HbjdjtYiX8kTiiRNrKlSv58ccf+c9//sPcuXN57733yM3N5ZJLLuGyyy6jb9++7TVOoR30zLYz77oL+GztZhZt2kmOxcSFE4fT3WnHnGIXnZryOqKRKGqdClsHzJyUeuuJxJo+3MD+mml1QV/KJ9IicpSyOhfzvv+RZdv3kGM1MmfyaHrnOtutI6skSRiNxrjbO41GY8Yl0gRBaJ7TYeLu205j46a9vPfJamIxOO2k4QzsV4Azxepu1Pv8+MMRlAoFTpOh3Vcde3xBNuxsplbphl30K85p1zEkQ7nPzcK925i3fQ1KhYILeo9kQm4Pcg3tUyvSojbyu/4Xcd/6/7DNe6irZXdDPrcNuAybxkwsFqPC66EuEEBSKLDrdGQbU+v7JghCcpi0Ws4dNoRxxUU8v2IVlQ0eppR05+T+/Si0pta9eiAUxuUJAGA16tBp23eCu8EbZP6ijQnjXy79iVOPG4rdmtqTNvUNPjaXVvHSpyuob/AzfkgPTps0mHynFWU7lIhQKBRMmNKPHdureP/tFRzoi2Q0abn7/rPJ/t+W2PoGP/UeP6GwjMWoJdsmnnW6EkWslS2zwuEw77zzDs8++yxffvklsViMcePGcfnllzNr1ixMptS9YXG73VitVlwuFxZLap1gO0M0GsMfDqOWlGhSrH5VfaWLbz9YwSv3vkXl7mp6DC7iigcvZOC4vphs7Zc1X1G1fxtnIp9Mv5K+1tR+wPlpbyUXPvU6/nCk0fHrj5/ABROGY2qnZGkoFGrScMBoNFJYWIhGowH2NyWQZRlZlpEkCUmSMqJ2WlcmzquNic+jqUAgDOyvvZFK/KEwmyqqeOizb1hdWk6WwcAlE0Zy+vABZJvb715mb7WL0297jmiC27BbLzyWs6cNa7f3T4Zyn5vLvn6Nze7qRseHOwr416Sz2i2ZBlAXaqA25KI6WI9DY8WhtWLXWPCFQ3y3p5Tbvp5P5f+uQyU2O48cP4PB2TmoxENO2hLn1abEZ9JYKCITjsro1WqUKVYcbU9FPc+99x1ffLeZGDGOP6ofc04fR7dcW7u9p88f5Ja/vsvK9fEbMgzsk8cjfzwLizl1t7+6vQGe/eA7Xv18ZaPjJr2W524/j54F7dccz+sJUF/vY8/uWvQGDXn5VhwOM5JKyc7yWv70zCds3LF/Qsxs0HLdOZM5dkxfLF28bEW6O9zzaqunW9VqNbNmzeKzzz5jx44d3H333VRUVHDllVdSUFDA0qVLW/vSQgdTKhUYtZqUS6J53T5evf9tHr3yKSp2VRGLxdixdje3n3Q/S99b3q71tgoMFkzq+ImmErMDuya1Z27qvH7+9M4XTZJoAE9+sZQaT9POLMmi0WgoKiqiT58+lJSU0KdPH4qKig4m0UKhEKWlpWzZsoXt27ezZcsWSktLCYVC7TYmQRA6n06nTrkkGsCPZfuY/Z/XWbW7nFgMarw+Hp2/mNvfnU+tt/3OlTaTnqkj4hfyVShg7IDU3voai8X4fM/mJkk0gNU1e1lWlbiTXjLYNWZ6mbpxlGMwvc1F2DX7b3a319VxxYfvHkyiAWyvr+P8d+axpyF+vRtBEDKDRiVh1GhSLom2t8rFFffM5aNFGwiGI4TCMh8t3sAV98xlb5Wr3d7XoNdyzkkjE8bPOWlUSifRAKrqPU2SaAAef5DHXl9Igy/Qbu9tNOko7JbFURN6M3R4MTm5ViSVkn01bq7967yDSTTYX+P0gf9+wYqf2vfaJ6SOpOxbKCoq4tZbb+W+++6joKAAr9dLdXXTGytBOBL1FS7efbLp3nSAp373X2r21rXbe+foTTwx/gxUisa/IkaVhsfGnUa2PnVXXAK4/QHW7Ym/ZSgWgzW7y9v1/VUqFVqtFoPBgFarPbjaLBKJNFmtBvs7epaVlRGJNE38CYIgtJcaj5d7P/yaeIvCFm3ZyT5XQ7u9t0Gn4Yazp5Bta3o9+f15R+OwpHatkrqgn9e3rU4Yf2XLSjyhYMJ4e/CEQvxt2dK4PT0DkQjv/LQRORq/bIMgCEJ7kKNRPl26kTq3v0mszu3nk8UbkOPUykyWQX0LmDi66aTNmKHdGTko9ZvLfbt2Z8LYd+t20uDt2OsMwPrt+6hxxZ9o+8cbi6hxNS1xI2SeNi9BWrNmDc899xyvvvoqtbW15OTk8Nvf/pbx48cnY3xCF1a2dR+Jdh431HpoqPGQU+Rsl/dWKSWOyinm0xlX8faOtWxyVTLaWcT0ov4UGlK/u01LG7Zbt6G77WRZjls/DfYn02RZFls8BUHoMJ5giK1VNQnjy3eWMbCg/Yq8d8ux8fxt57Fs424Wrt5Gjt3EGVOGUuC0YNRr2u19k6KFBR8xYnETWu3JFw6xvqoqYXxFeRmBSASjJsU/W0EQMobHG2Thiq0J41+v2MpZxw3H1k4rwxx2I7dccwI799Tw3vw1RKMxTj1uKL2Ks3GkeXH5WIwOv84ArN2aeEFCaUU9oXD77ZoSUkernljr6up45ZVXeP7551m9ejWSJHHSSSdx2WWXccopp4gie0JS6M3N7y9Xa9s34aKT1PQ0O/jd0GmEozJqZfp8ry0GLQMLctiwt7JJTKGAYd3zO2FUtLgdtz236wqCIPySSqlEUiqQo/FvxS369m+8k+ewcOqkwZw0fiCSUoEixbYkJWLX6Dmn51D+suqLuPHze4/ArOnYxkVaSUWh2UK5J/5KwhKbHa24RxUEoQOpVEqMzVxLjHoNqnbumumwGXHYjIwY2I0YtHsznWQaN7gHf5v3TfzYoO5YjB1fj6xnQVbCmMNqSJsuqELbHNG/8ueff855551HQUEB119/PYFAgAcffJA9e/bw7rvvctppp4kkWhrwh0Ps8tTx3q51vLZtFZtdVdQHmy437my5xdkJGwr0HtETq7PjiqqmUxINIMto4M9nHodW1XTc1xw9Dqepc2q8tXR+EOcPQcgMsViMqvJ6VizezAdzv2fdDzupqUy9+lQ2o57jB8RvYy8pFYzqXthhY1FJyrRJosH+rmbTi/tTYm5a6HlIVh7jcrp3+JisOh3Xjx0XN6YALhw6TDQbEIQMUtPgY13pPl5fuoYv126lrNZFJJJak7JGvZbzZySuUzZ7xihMho6ZdFAqlWmVRAPItpmYdczwJseNOg03nTcVcwd9dj83ekAxWk38BR2XnDwWpzW9V/oJh+eIlvRMnz4dtVrNjBkzuOyyyxpt36ysbLry5YCcnNTubtiVeMJBPi39iT+u+Aj5Z/v7zuwxlFuGHoNTnzq/+I4CO3e/fTO3Tb+XcOhQ7SyLw8ytL/4Ga7boTtScvnlO3r7hIl5duprlO/aQbTZyxdQx9M1ztlvHzpZIkoTRaIy7vdNoFC2jBSFT7Ni8j9sufw5X3aEaIoXdHdz3zKXkdUs8k9vRjBoNvz9hMmvLKiirP5ToUyjgwTOnk21KnWtiKso3WHjpmPP5Ys9m3tj+I0qFgtm9RzIlv4S8duzY2ZwhObncMn4yj3y/hMj/6qHpVSr+77jpFFlSvzSDIAiHp6K+gZtf/phVO/cePKbXqPjH5aczonsBqjiTyZ1lUEkeJ4zvx+ffbmp0/Pij+jGkd+fsEkkXVpOOK04bx6RhPXnp0xXUNfgZN7gHZ00bSoGzc87puVkm/n7zWfz+8fdwefc3O1Ao4PQpQzjhqH4olekzKSa0niKWqAhVHErlkc+WKhSKlCsg3pVbRW+ur2TGZ/+OG3tw7Cmc3XNYB4+oeeFQhKrSar77cAU715UyZPJAhk4dSG737M4eWtoIRWS8wSAalQqjtvPrwoRCoSYNB4xGI4WFhQc7ewrppyufV+Ppyp9HdYWLG89/iuqKpivQho0t4Y7HZ2O2plaXsH2uBtaVVfDNlh3k2yxMH9SHXIsJgzgnHZZYLEZ9yI8CBTZt5//b+sIhqn0+dtbXo5aUFFms5BhNaMRkTVrryufVRLrqZxIMR/i/D77htaVrmsR0ahXv3nwxhVmplTivc/vYW+Xi06U/EYvFmD6hP4U5NuyWztklko48/iDhiIxJr0XdyYlSORqlus7Lvho3Xn+Ibrk2siyGDltdKLSfwz2vHtGKtClTpqTVtgOhsVgsxrwdTS84Bzy98Vum5ffGqUudGXi1RkVBrzzOvOGUzh5K2tKoJDSq1LlIazQaioqKkGUZWZaRJAlJkkSTAUHIENUV7rhJNIA1y7bjqvOmXCItz2omz2rmuIHxt3kKzVMoFNi1qXOdMag1FFs1FFttnT0UQRDaQY3HxzvL1sWNBcIR1u7el3KJNLvFgN1iYFAvsQKttUwdULf0cElKJbkOM7mOzll9LXS+I3pyXbBgQTsNQ+gIcizGHm99wnh1wEskmlp1BVpSW+thb3k9a37cjd1mZPiwYhwOE1qturOHJjRDpVKJxJkgZKiG+vgt4Q8IBsIdNJLk8Lp81Oyr54cv1hIJy4w6djDOwiwsWabOHpogCEKXFI7IBJuphVbh8nTgaNouEpGprmpg/fo9lJe7GDiokOJiB06nSNIIQqoST7JdiEqpZFp+b+aXbY4bH+koxKhKn20sVdUN3H3PO2zceKg2glKp4E93ns7YMSUimSYIgtAJcrvZE8a0ejWmFjoypxJ3rYf3nprPy/e/e/DYf+54nRMumszlf56FLafrbKUSBEFIFXqNmgK7hb118Vc/DynO6+ARtV4kIrNhfRm3/uE1gsFD5ZC6FWXx4MPnk5eXWivrBEHY74gSaXPmzGk2rlQqsVqtDB06lDPOOKNL7dVPF5PzeuLQGqkJNi72rlQo+O3QaZg16fGAEw7LvPnmskZJNIBoNMaf//Iu/33uKgoLEz/MCYIgCO3D7jAx8fiBLJm/oUns3CumkpWdPjPspZvLGyXRDvj8pUUcNX04k04b3fGDEgRB6OJyrCZ+d8pkfvfSR01i/QqcFDtsHT+oVqqp9vDHW+c1SqIB7Cmt5Z9Pfs4tfzwVozF1tjQKgrDfESXSXnjhhcP6OYVCwY033sizzz7LmWee2ZpxCe2k0Gjj9WMv4s8/fMaiih0A9LE4uWfUDHrFaWGfqurqvHzw0eq4sWg0xoofdrQ5kVbv8uH3h5CUCmw2I5oEbY4FQRCEQ8xWA7+6fSa5BXY+en0ZwUAYs1XP7GuO5phThqFOk3NpKBjm3X98ljA+79GPGDalP2Z767d4ekMhXL4AsRiYdRos+vSYzBIEQehs4/oW89CFJ/HIB99Q4fKgUiqZMbwf1580Eacldeo9t2TXrmr8/lDc2LffbsXl8rUpkRaRZaq9PsJyFJ1aJbpRC0KSHNHd7Ndff91sPBqNUl1dzdKlS3n22WeZPXs233//PcOGpVYnyK6up9nBExPOpD7kJxKNYtFocerSq9aLHI0SaKbOTnVNQ6tfOxAIs2XrPv7+zy/YsqUCrVbFiScMYfZ548kR23gEQRBa5Mi2cOmNJ3DaheMJBSPo9Gqysi1IkrKzh3bYIsEItZXxtw3B/m2f4VDru5Lvrq3nsfmLmb9xK3I0xvheRdw6fRolzixUafQ5CYIgdAaLXsf0YX0Z1bMQbzCERiWRZTKg16RXaZe6Om/CWDQaI9SG60yVx8u8VWt5ftlK3IEg3e02bj5mEkd1L8IqJm4EoU2OKJE2derUw/q5c845hzlz5jBmzBgeeeQRXnzxxVYNTmg/Fo0OS5ps44xHp1NTUpLD9u2VceMjR/Ro9Wtv21bBjb99hVhs//8HgxHe/2AV69bt4a8PzMIpurMIgiC0SKNRkVuQvlvsdSYt42YMZ92STXHjI44eiMnauk6Ve+vdXPCf16n2HGrM8O22Us59Zi5vX3shPZ3p+7kJgiB0FIVCQY41vRYD/FLvPrkJY1lZxlavRqvz+bnn06/4bNPWg8d21dVz3Vsf8uDMEzltyACUCkWrXlsQBGi3Kc8hQ4Zw6qmn8s0337TXWwhdmN1m5NfXHhs3VtIzm+Ki1m1Tdbl8/ONfXx5Mov3c9h1V7NpV06rXFQRBENKLUqlk8hljsDiaPqRp9RrO+s0MNLojb9ATi8X4atO2Rkm0AwLhCM8uXk4glF6dTQVBEITWcTrNjB1bEjd21TXH4GjlBH6119coifZzD321iMqG9OpsKgippl33DvTt25d9+/a151sIXVi/vvn834Pn0aO7EwC1WuKUk4dx/73n4Ijz4HM4AoEwP20qTxhfvnx7q15XEARBSD953bN57Is7GHfScBT/m7kfOqkfj391J3k9na16zUA4wlcbE19Llm7bjTsYbNVrC4IgCOnFajXw+1tO5tzzx6HX75+cycuzctfdZzBuXG+UytatGttcWZ0wVuP14Q6I64wgtEW7VvwNBAJoNEc+WysIh8Ng0DByZA8eefh8fP4QKkmJzWZAq219bQSlUoFer0lY9NPhSI0CnQHZRzDqQ4mESWU7+IAnCIIgJFe3Pvn84dlraKjxEIvFMNmMmO2tvxaolEqyjPqEcateh0rZ+TXSwuEIrlovoMBqN6RNkwihsZDsJhzzo0RCJznE/YIgpCCHw8xlc6Zy2umjiESi6LRqHM62bVm1tVADTauS2vT6yVJX7UGWZfQGLUZz+pYd6sqCoQgujx8Am1mPRt017hfa9W+5cOFCevfu3Z5vIbQgFpMhWgnyPoh5QeoGSgcKZebU+bLbjdjb8FAD4PeHcLn8KCUFp54ynNffWNbkZxQKGD+uT5vep63C0TDVwTI+L3+FXb4NGFQWJmefxkDLUZjVoqZOOolEIsiyjCzLSJKEJEmoVF3jwiNknvoaD7U1Hmoq3ThyzNgdZuytXBmcioxmPUZz4uTX4ZBlmeo6LxE5yuyxw/hobfzaa3MmjiLL2Lraa8lSsbeO917+li/fX0UsBtNOHsaZF08kr5u4zqSLsOzHFd7Ompp/UBVYi07KYqDtIopMR6NXpU+XdkE4wOsLUufysbeiHr1OQ47TjNNuSqsmNs1RqyVyc61tfp0qtwd/KEKh1YJRo8Ebaro4YFLPYrIMnXudqavx8N3CTbzxwiLqa7wMGFbEZb85jqKe2Wh16dUwoisrq3Lx34+X8fl3m1AoFEwf15+LZoymILvt3+VU1y5PbdFolL/85S+sXLmSP/3pT+3xFsJhiMUiEP6RWN21EKv731EF6M8H03UopNZtS8k0e/fW8cx/FrB4yWYAHnrgXNb8WNpoi6dCAbf+4RScbZwdaqt9/h08s+12osgABEN+3i97hq0Nazi927UYVaKraDoIhUKUlZXh9R7q1GQ0GiksLBSreIW0U7G3jnt/+xpbNpQdPNZ7QAF3PnZ+WjcbSKaaei/vzl/D6x+vxOMLctXsSVw5cTT/XrKi0c9NH9SH8b2KO2mU+1WW1/P7i/9NVbnr4LH3X/mWxZ+t47G5V4t/0zRRG9zAV3uvI0YUAF9kHyuqH6bSv5IxOX9AK9k6d4CCcATq6r28+Nb3vPnxyoN1jC0mHQ/cejqD+uajSpHVVZ3J4w+yYnsZD3+wkN3V9YwsKeDR02Zw/TsfEozIB3+u0Grh7hnHYda1rolBMrjrfTzzyKd8/fGPB4/9sHQrq77bxoP/vowho3p02tiEw7e32sXl986lxn2o5uubX69h4aptPHfHeeQ5Mvu59IgSaXPmzGk2Ho1GqampYfny5VRVVdGnTx9uuummNg1QaAO5nFjtpUDgZwdj4H8VVL2JGS7o8kv8Kypc3PjbV6iuOVRw88673+baq4/myiumsWr1Luw2I2PG9MSRZULXisLSyeKNuHl/7zMHk2g/t8H9PUeHzunURFooFCEUiqDXazJmdrA9RCKRJkk0AK/XS1lZGUVFRWJlmpA23PU+Hv7jm42SaABbN+7lr3+Yx91PXoi1jSuG053bE+CJFxcwf8lPB4898+pizj55BHPnnMuK0jKCkQhH9yshz2ru1NVosViMJfPXN0qiHVBb3cBXH6xh1hVTOu0cH4nK+CJhtJIKrSTOk4n4IzUsr3roYBLt53Z7v2RQZI5IpAlpIxaLsWj5Nt74aGWj425PgJvueZOXHr+Uwjxb5wwuhSzfvofrn3//4P+v3L6X2PwVPHP26ZQ1uCmtdzGyWwH9cpzkWTp3Z1JNVUOjJNoB0WiMv9//AX995rJOXdUei3oAJQpl567aS2WyHOWTpRsbJdEOqKr38MXyLcw+YWSra/ylgyO6C3nhhRcO6+c0Gg0XXHABjzzyCGZz5mwhTDuhpTROoh0S8z6FLzqVfZUabFYDDoepSybVVq7a1SiJBvu3eT76+Gccf9wgbrphOroUWV4ckH3s9ScuUL3N8yMFhvhdf9pTQ4Of0j21vPnWcqqqGxg1ogcnnDCEvFxrRp88W0uW5SZJtAO8Xi+yLItEmpA26ms9rFu5K25s44+lVFe6qah0Y7HoyXKY0HTBOlt1bl+jJNoBb360is8XbuSV/7sUR4okGz1uPwviPNwc8M2nP3LSOWOwZnXseCNRmT1eF/O2r2ZFdSlFRjuX9R1Ld7Mds7rzVlWkqnDUizu8M2G8KrAau1aUXhHSQ02dlxfmfRs3FgpF+G7VdoaN7Y6kUOAwGLDoul6drSq3h4feW9jk+KodZVz1r7d487cXcvbwwZ0wsvg2rN6dMLZrWxVeT6BTEmkxeR8EFxHzvwsKDRguAvUQFFJ2h48l1bl9Ab5YvjlhfP6ynzh18kAszdSETXdHdEf79ddfNxtXKpVYrVb69euHVitubDpbLBK/5TEA0Ur2lFbwqxu+wOEwccvNJzNkcLc2FepPN5GIzJKliU8A33+/jYaGQMok0hQKJUqUROPMMANopY4/Ufl8QT76eA3P/GfBwWPr15fx5tvLefLxi+jZU1x4fkmWm64oPJK4IKQSvzd+Y5YDykprueeed9FoVJx7wXhOO30UthRJGnWUPeV1CWNuT4BalzdlEmmSJKHVJ77maXUalKqOnyBZX1fB+V+/RFCOAPBD9R7e3bWWv445mZnFg9CpUuM6nSoUCglQALG4cbUyc+oXCplPjkaprGlIGP9pRyUf+XeycOdOJnfvzv3HH0+BJbO3lP2SNxhmT23TlcQHLNtaSr+C1Lkn1xsS7/BRKBSdsuo5dmAnl7zj0LHQEtAcDdb7REmkX1AplRiaeUbWazVIKdA4qT0d0d9u6tSpzf43efJkhg4dKpJoKUKhHp44KPVgb/n+pZg1NR5u/eM89pbXd8i4UoUkKXE6E6+YtFj0SKrUOQEYJTMDLEfFjSlQUGIa0sEjgto6L/9+dkGT4z5fiMf+9inuBn+HjynVSVLzdTxaigtCKjFZ9M2uZj5QMDgUivDS84v46ov1yHL8yYBMZTa10DkthVbpGUxaTr9wQsL46RdNwGzp2K0u1QEPN3///sEk2s/d9cOnVAXir/DtyrRKK4WGiXFjCiScutRZmSIILVGrJLoXZiWM9yxxUuran0RatGsXv/nwQ2p8TbebZTK1pETVTPLJaU6NyZoD+g8tQplgvKMm9MZi7djrTCwmE/O91SiJdlDoa4jEbw7UlZmNOmafMCph/IITR2LUZ3ZOKHWyBELyaUaAMv6Fp16+lpdfO7QaKxqN8cabywiFmt6oZiqFQsEpJw9PGD931lFkpcgqAdi/4mx6/kVY1E27bc0suAqzquMLQK9fX3aw6OsvrVtfRoM7/tbirkySJIzG+N8ro9EoEmlCWrFlGZl8wqC4sbFT+7Hmx8bbN155cQm1v9hOn+nynBbslvgrhof1L8SWINZZ+g8rYsKxA5scHzWpD0PH9Ozw8dQF/WxrqIkbC0VltjVUd/CIOlcsGtzfTKoZGsnESOeN6JtsR1IwPvdP6CXRtVNIH1k2I9dePCVuzGbRk1tkY3vdoZW/q/ftozJBCY1MlWUycMrIAXFjGpXE0O55HTyi5mU5Tdz4p9OaHLc7TFz7hxkYzR28PTdaC4G3EoZjvleJxcIdOKDOFQlHCAVa/vsO71vIlOFNywodO7oPA3um1neuPaTONKiQdAqpALJeIVb/O4hs+N9BMx5+zedfG9i5s3F2ffOWCvz+UJeqYZOXa+XX1x7LP/71ZaPjUyb3Y/y41KsfkqXN4+pe97PDs56N7mVY1E5GZx2LTZ3dKVs7W1pZEkuUZctAkUgEWZaRZRlJkpAkKW6tM5VKRWFhYcKunaI+mpBOjGYdV998EhqNiq8+/pGoHEUpKZl47ECmnjKM++59r9HPu1w+gsGuM2ED4LSb+L9bz+Q3f3kDn//QVtg8p5k7rp2OxZRaibQsp5nf/Ok0Tr9oAp++tYKoHGX62aPp3isHezOruNtLLMH2xAPkaNe4zsTkcggtI+b/ABRmMF4AqhIUCSZMzZoiTuj2HyoDq9nrXYJJXUAP83SMqlxUytT6zglCS4YNKOQP15zAv15aSIM3CEDvHtlcecUU7v5+QZOfL3e7GZCdOlsZ25teo+bXJ45nY1kFm/YemlxQSxJPXHYq2ZbU2s6t02uYfOxA+g4sZP57K9m3t56xk/sy4qgScvJtnTCiGMSaK63SNcquuKob2LVpLx88t5CAN8Ax54xjyPg+OBN063ZYjdx+2fFcWF7HB0vWo0TBzMmDKMq1k9XBq9c7gyLWlZ50/8ftdmO1WnG5XFi6wB76mFwL0TpisSBl5TH++cyPfL+saXHoqVP6c8sfTkbXheqkwf46XzW1Xn74YQf+QJjRI3uQnWPBluRlxW5/AH8ogkpS4DC1faVbNBZFqejcRaW7d9dw6eX/jhvr0yeXBx84N+mfYyoKhUIJE2MaTfw6EIebeEsXXe282pKu9nn4vUHqaj34vSFiCvj4w9V88vEawuHGN58Gg4b//PcqcnKtnTTSznGgxs/GbfsoLa+jf0kuPbs5yXEkNzEVjESo9/kBBVlGPeo2rnCNRvdPlig7sc5Jpb+BWV++SKm3vklMUij44qRrKTZ1/IrsjhST9xKrvRjkXxTo1s9GYboBhZTZf/8Dutp59XB0pc9ElmWqa724PAEUSlhYtovn1q2iwtN0lfO7s2czJC/zV8T8UpXbw66qelbt3Euu1cTInoXkWE1oVMnb7RCLxahxe4lGY5j0Wgy6xPXODteBSbjOEouFiXkeB2/8ZxqF7SkUumM6dlAdzFXTwHP3vM1nryxpdLxb7zweeOtGspvZXp1pDve8mr5PbcJhU0hZIGWhAHzBfXGTaADnnTuuyyXRAAwGLQaDlqJu7XOC8IfCbKus4W+fLWHtngqyzUauOnosE/p0x2FqfZKps5NoAFlZRmadPZZ5by5rdFytlvjtDdO7RBItEok0SaLB/g6cZWVlFBUVJVyZls6JM0H4Ob1Ri964vxZGZYWLhQt+apJEAzjznLFkdWJL+84iKZXkZ1vJz26/BGJprYvnl/7AJ+s2oVIqOXPEIM4bO4x8a+uTdZ2ZQDsgR2/mgTEnc8nCV5F/Mff7+yFH49SlTgmG9hCLhYl5X2yaRAPwvwr6s6CLJNKErk2SJHKzLeRmW/CEQqxdtzxuEq3EbifX1PWuMwDZFhPZFhOje3Vrl9evdnn5YuVmXvliFW5fgNF9i7j21PF0z7WjbkOyrjOTaAAKhRr0s4n534doReOgegSoM7+u5N7tlU2SaAB7tu7jkxcXccHNpyAlMSGbCTr/DknoUEXd7Nx2yymNOlHqdGpuu+UUirqJG7H2sGrXXs7751yWbt1NQyDI9qpabp33Kf/84lvc/vSuIWYy6Tj/vHE8cN85DBncjW6Fdk6aMYx/PzWHXr1yOnt4HUKW5SZJtAO8Xq/owil0Odk5Fh5+/AJycg/N4ikUcML0oZx6+ihU4kYs6fbUuTjv33OZu2wN9b4A1R4fzyxazqXPv0G5K3G3u3QxwlnIBydcwanFg+hhsjMxtycvT7uAc3sNx6Bq+2qIlBatBX8ztXsCb3fgYAQhNZg0Gm6bMoWpPXo0Ot7H4eA/p59OThdNpLWnWrePu//7GQ+9toCyahcNviBfr97KBfe/yra98etYphOFqhBF1mtgvB6kXqAagMJyLwrbEyikzH6micVifPLiooTxT15aRH1V+t9LJJtYDtHFGAxapk7pz5DB3aiq3v8LkZ1tIctu7FK10TpKldvDPe9+Gbcg/2vf/8iFE0dg0XdwQc0ks1oNHDW2F4MGFhIOyxgMGrRdaGVjS4kykUgTuhqFQkFJrxye+Nel1NV48XoDOLMt2OwGTC10sBSOXFiWeX35j9R6m3ZJ3l3rYum2XZw1Mr1n03WSmn62HO4fczKecBCdpMKs6SrfpRgQShyOiu7YQteUZzbz6IwZVPt8VHm92PR6nAYD2QkaOgltU1btYun6pruawhGZR+Yt5JFrZ2Ixpvd5WaEqBNO1YDgPUO7f1dUFxGIxAv7E15lwMNJivdKuSGROuiCNRkVeno28PFtSX7euzkt9vQ+fL4jVasBmEw9N7kCQ0lpXwvi6PRX0zM6Mk3RX/bduqcum6MIpdFVOpxlnkovTe/1Bajx+6hp86LVqsswGnJau/dBU7wvw+YYtCePvr9nI9EF9MWrTf+WWXqVGr+o6EzUAKCygOQ6CH8QP60/t4AEJQuqw6fXY9Hp6O5LXiTYsy1Q1eKn2+FAowGE0kGM2ouri93OL1+5IGPthyx48/mDaJ9IAFAoJJGdnD6NDKZVKjj9vAt+8uyJufNLMEZhtXfteKx6RSBOSYu/eOv50zzts21Z58NjUKf257lfH4khyMeV0omqhvoxB08UeCDKQJEkYjca42zuNRqNIpAlCklS7vfzzo6W8++16ov9b5ts9x85jV55KSV5mTEi0hqRUoFMnvpbo1WokpaIDRyQkk0JpAPNviIW+htgv6kGpx4Aq9TqMC0K68gZDLNi0nT998CXe4P4VOmadlvtPP4EJvYsxJGgg1RU011RArZJQiutMWus1uBsDxpSwcfn2RsdNNgOzbpiBVt91v/uJiBppQpvV1Hq47Y43GiXRABZ+8xPP/3cxgUC4k0bW+awGHSO7F8SNqSWJfvldpzV3plKpVBQWFmL8xVaCA107RUMBQWi7cERm3qI1vL103cEkGsCuyjqufvJNKuq6bu2OLKOBC44aljB+0bgRzSbahI4XigapCVZQ7t9FTbCSUDTY/B+QilE43gH9+aDMBaknCvOfUNgezfjaPYLQkXZU1/H7Nz85mEQDaAgEuf71D5rdYdIVTB7aM2Fs+ph+WE36DhyN0BI5GqWitoGte6rYta8Ol6f5MgBZeTbueO4arrnvXAp75eDIs3HqFUfzxPzbye8hnlfjEU94QptVVTVQWlobN/b5/LVccP548vNtHTuoFGEz6Ln7zOO4+Ol51PsONRZQKOD+c07Eac78rpbpJhKJIMsysiwjSRKSJLWYDNNoNBQVFR3xnxME4fBUu728smBV3FiV28uOijpy7V139fO0viWM7v4TK3aVNTp+0uC+9M8TN8CpxBWu4/N9b7CibgFyTEZSqDgq6xiOyz0Tizp+0yeFQgmq7mD+I5h+DShB6UChECtABCFZfMEwzyxaHjcWi8EL367k7pnHou2i93bZVhPXnzmJJ95e3Oh4vsPCVaeMQy922aQMty/AwlVb+dsbi6j/XwJtWO8C7rrsRLrnJm4u6Mi3cdpVxzD1jNFEozHMdiOaLlT3+kh1zTOBkFSVVe6EsUgkiq+Z4oVdQa8cB/Ouu4DFm3ayZMtOih02Th81iAK7WawSSDGhUIiysrJG2zQPrCzTtLCcX6VSicSZILSTYDiCN5D4WrKrspZx/Ys7cESpJcdi4tFZJ7Gpopq3fliHWpKYNXoIPZ1ZOExiwiZV+GUf75f9lzWubw8ek2MRltZ8TjAa4IzCOeikxKs6FEotIFagCUJ78IfD7KiKvzAAYGtFDYFQuMsm0swGLWdNHsr4gd15e9Faql1ejh3Zh5F9upGX1XUnslLRqk17+PPznzc6tmbrXq5+aB4v3D672X8vhUKBPcfa3kPMCF3zTCAkVW4zv2xqtYRB7Kmm0G7h3HFDOWvs4BbrpgmdIxKJNEmiAXi9XsrKyigqKhKJMkHoJFq1CrNeS4M//ha4nl24RtoB2WYT2WYTE0qKAYWoV5OCPGEXP7q+ixtbWbeI43PPajaRJghC+zFo1PTJdbC1qiZuvH9+dpdfdWU2aOlnyOG22cciR6NI4pkm5dS4vDzx1qK4sWqXlw079onEZ5KIb7/QZtlOEz0T7J0+ecYwsrJEl48DRBItdcmyHLdhAOxPpsmy3MEjEgThgGyrkUuOGRU3lmc30z1HJNIOUCqVIomWonxyAzFicWMxYvhkT9yYIAjtT69Rc8XkMcTbMS0pFVw8fgQaMaF6kEiipaZQRGbXvrqE8TVbyxLGhCMjfgOENsvKMnHvX85i0KDCg8eUSgXTTxzCBbMnoBV7q4U00FKiTCTSBKHzqCSJMyYM4cKjR6CSDt269CvM5unrziLXZurE0QnC4dEqm19t1lJcEIT21cNh48nzZmIz6A4eyzLq+efs0yiyi+1uQuqTlErs5sTXku5iBX/SiLS6kBT5eTbu/fNZ1Lt8+P1hzCYddrsRg0Fs6xSOTGuK/SeDJEltiguC0L4cFgO/Pnki500ZjssbQKdRYzfpyRJNW4QjVBlwUearoTxQR7HBSZ7OjlNnaff3NaksFOp7Uubf0STW3dAHk0pstxGEzmTQaJjWr4S3r72QWq8PhUJBlkFPjtkkVvoKR6TW56PS62VDZRVZej19HFnkmkyo2vl5wmk1cumMMTw275smMY1KYuzArltPNtlEIk1IGqvVgNUqHmiE1mtLsf+2kiQJo9EYd3un0WgUiTRBSAF6rZpuWhvdnJ09EiFd7fJUcv0Pz1IZdB081t2YzaMjLqPA0L4z9Sa1lYu738SzOx6kMnhoe02erogLiq/HqGr/ZJ4gCM2TlEryrWbyrSKxLbROpcfDbZ/PZ8GOQ5MmRrWaf59xOiMLClC34zOFUqlg+rgBbCmt5sNvNxx6f72Gx647jbwu3OE82RSxWCx+sYYM5na7sVqtuFwuLJb0uGmJxWJU+BuoCnjxR8LkGcw4tEaMarHiS8gMkUiE0tLShImsjij235mJvHSXjufV9pSun4er3kd9nZf6eh9Wqx6b3YjNLupcCpmhOujm2uVPs8fXtJj4cFtP/jr8Qqya9v++u8N1uMK11IWqsWuysamzMKtt7f6+6S5dz6vtKR0/E18oTI3HR4WrAZ1ahdNsFCu+hIwRlmX+tvRb/rVsWZOYVqXis0svocja/tuEG7wBatw+dpTXYDboKMy2km0zNSqPIcR3uOdVsSItDcjRKBvqK7h68RtU+BsAkBQKLukzhqsHTMCpa/tNXyAQRqlUoNGIr4TQOQ6n2H97J9I0Gg1FRUWdsrVUEDpbZYWLB+95jx9X7z54bMCgAm7/85nk5tva/PrhcIRIJIpedHIWOklt0BM3iQawun4HdWFvhyTSLGo7FrWdIkOvdn8vQUgldV4fLy5ZxbPfrCASjQLgNBn42wUzGdItt83b3mQ5SjASQatSIYmEgdAJqrxeXlq9Om4sGImwYk9ZhyTSzEYdZqOOHvmiJlp7EU+HaaDc7+bCr1/GEwkdPCbHYjy3eRndTXYu6D0KRbwWM4ehqqqBtWtL+fTzH1GrJU47dRS9e+eSJVYgCB0sVYr9q1QqkTgTupwGt59H//phoyQawMb1e7n/7ne458Fzsdpat3Xf5fKxe1c17761ArfLz5Rp/Rk7rje5eaJws9CxGiL+ZuMBOdRsXBCEtlm0eRdPL2i8Uqfa4+Py597ivRsupiirddeFYDhCmcvNvBVr2bivkgF52cwaNZRCmwWtWtzTCR0nEo3iCSW+lpS6XAljQnoRZ5Y0sLyqtFES7ef+vmEJxxf2I9dw5Pudq6rc3Hb7G2zfUXXw2LffbWPSxL7cdMOJ2EUyTehAoti/IHSe+jovPyxrWgAdYMO6MurrvK1KpLndfua+vJQ3X//+4LFVK3fizDbz2JMXkV9gb/WYhfZV7fdSF/QTjcWwafXkGtK/M2q2NvEWDbVCwqISdV4Fob1UNXj5x5ffxo0FwhEWbd7B7HHDj/h1o9EYK0v3cuXL7xxc5fb9zj28vGwNT19wOuN7FottoynK4w1S7/YRDEUw6jU4skyoVel9v69TqSm2WtmdIGE2srCgg0cktBex5jUNbHZVJoxVBTyEY0e+UicajfHl1xsaJdEOWLxkc9zjQuqIRCIEg0F8Ph/BYJBIJNLZQ2qzA8X+4xHF/gWhffl8za/E8XiCrXrdqkp3oyTaAdVVDbzy4hKCwXCrXldoP5GozJqqcs775DWOe/s5Tnjnec768BWW7N1FIJLe/142jYljcofEjZ1dPAGHNv2ThYKQquRolD11iVfj/LQ38fNOcyobPPz+rU8OJtEOiESj3Pz2J1Q2eFr1ukL72lfl5r4nPmb2r5/l0hv/y8U3vMBr762g3uXr7KG1SY7JyK1Tp8SN9bDZ6ONwdPCIhPYiEmlpYEhW4sx1ocGKRnnkCwvr6318+NHqhPF33/uBcDj9kzOZKBQKUVpaypYtW9i+fTtbtmyhtLSUUDPLiNOBSqWisLCwSTLtQLF/sd1SENqPyaSluQoBFouuVa/7zYKNCWNfzl+Hy9X8Vjuh4+3xuJn18Vy21B+qJVbqcXHRZ/PY6a7rxJG1nUWt56Z+Mzm7aPzBeyeDpGFOybFc2GMKWknU7xOE9qKWJEqyE9drGlbcupU6tT4fNd74yZdarz9hTOg8tXVe/vjAOyxeto0DbQ/9gTDPvLyITxes77ByLu1lXFERj8yYTvb/nmkUwLElJfz37LPINYkJm0whnkzTwLCsArK0BmqDTS8Evx0ylRz9kf9CxmIx5Eg0YTwSkYlGu1xD15QXiUSadJWE/cX4y8rKOqSzZXsSxf4FoXPY7EYmT+vPN1//1CQ2+qiSVnfuDIUS3wzLchS6XuPwdhWJylQFPNSG9l8jHFoj2TozkuLw5k3laJTXN68lIDedSJNjMf6+5nsemjQdg1qd1HF3JKfOwnV9T+L8HpMJymF0kgan1oJaKVY9C0J7cpgM3HjCJH7z8vtNYmadlnElRa16XbmF55WouM4kXbXXS43PTyASIUuvx2k0oD+C60JFtZstCXY//feN7zh6Qj9ys9OjC208Vp2O0wYMYFxREQ2hEBpJwqHXY9JqO3toQhKJp9M0UGi08urRF3L9t++w2bX/pKOX1Fw/aDJT81vX8cli0TNt2gBen9d0yw3AjOnD0GrT90Y5VUUikTYliVKhs2V7E8X+BaHjGU06rr3hRJSSkm++2kg0GkOhgPGT+nLdb6djtuhb9bqTp/bjjde+ixsbN743JlPrVroJTfkiIb6r2s7tK9/DFd6/0s+uMfDAyNMZ6+yJTtXyNd0bCbO8Yk/C+JrqcrzhYFon0gC0kpoCvehkJggdbXSPQu6YeTSPfrYYX2j/VvEeTjuPnn8SBfbWJU4cRgNGrQZvsOnODKNGjcMoah8m07aaWq5770O2VO9ftaxWKpkzZhRzRo887M96R2n87smwv26aL5Deu2wAFAoFeWYzeZ09EKHdiKfVNNHHms1L02ZTG/QTlCPYtXpydCY0Uuv+CdVqidNmjmD+F+uorW2cmOnbJ5eBA0QhxGQLhUJNVpMd2Lao0RzedpJU6WwpCELmcWabufEPJ3PpldPwegIYjDrsdgPGNiS78gvsjJ/Yh2+XbGl0XK/XcPnVx2AwitnZZNnlqeE3379OjEOrL+pCPn713VzePvoa+lpzW3wNnSTR3WxLmEwrNJrRtvK+QxAEwWrQcc7YIUzrX0Kdz49aksgy6nGaW9/gLNts5M4ZR3Pru581id1x0tFkt+G1hcbK3Q1c+NqbVP3sWSYcjfL098vJNhq4aORwJGXLK6BznYmb5KlVElpNek/WCF2DuBtKI06dCacuefuq8/Js/P1vF/HhR6v5esFGVGqJU2eOYMqk/jibOcEJRy5ZWzJFZ0tBENqT0ajFmMTklt1u5Kbfn8Tkqdt58/Xv8XgCjB3Xm3POPYq8fFvS3qer80dC/GfL4kZJtAOixHhx23fcNezkFiffNJKKywaN4s2t6+LGfzN8AhatWEUoCELrqSWJArul1SvQ4r3ecf178eqcc/nHgm/ZXlNHT4ed66aNo0+OE7W4N06aTdXVjZJoP/fPb5dxYt8+5FtafoYsKrBjsxriNhY4cdpAslrRJVwQOppIpHVxeXk2Lr1kMmecMRqlQoHNZkDRXMVpoVWStSXzQGfLeK8lOlsKgpCKshwmTpg+lLHjeiHLUcxmPRqNuP1IJp8cZos7cce7Te4KfHLosFax9zDbeHjSDG5f+jmh6P5VzpJCwe9GTmJQVk7SxiwIgpAsJp2WkcUFPD7rFPzhMHq1GrNOrHhOtk2V1QljtX4/oTj1NePJdph57O6z+f09b1FTd+iZZtTQYuacNwGdKC8kpAFxJyugUkk4skQHkfaUrC2ZBzpbJtoiKmqLCYKQqmw2sb2mveglNT3NTrY2xC/e3Mecjf4wO1KaNFpOLenP+PwittbXEolF6Wdz4tAbMKpFV0tBEFKXWacVCbR21NuZuLakTac77JJDCoWCXt2zeeahC9lX5aKu3kdRgZ0suxGbRaxGE9KDeOoWhA6QzC2ZorOlIAiC8HMGlYar+kxm/t6NTWIKFFzSe/wR1TbTqdQUmW0UmW1JHKUgCIKQzgbkZJOl11Pr9zeJXXXUGHJMhz9hplAoyHGayRHlhIQ0JZ68hU5TXVbL1lU7WPD6EqzZFk64eCo53bMx2zNvdVyyt2SKzpadp62dVwVB6DiuBj97q1x8vHA93kCIEycOoFexE6ct864zPc0OHhl9Nn9a/QGeSBAAs1rHfSNOo8goOlSmC0+4AVfExQ7PdvQqA8WG7lhVVjSHuaJQEISOFQxH2FfXwPw1W9i6t5rRfboxoX8P8u3mjCuXU2Cx8PJ5Z3PtO++zq94F7N/6f+HIYZw5eOBhNRoQOp8/FKba42VtWQWBUJhhRfk4zUaselED9UgoYrFY08q0Gc7tdmO1WnG5XFgsySl0KRyZqtIabj/5fnas293o+CX3nMvp183AlIFbgJLRtVPoXOLfMDFxXm1MfB6dr77BxwvvfMfrn65qdHxIn3zuu2Em2VmZNwsejspUBRqoCe4/Rzm1JrJ1JlRKUT8zHbjCLl7b/QrL65YdPKZSqLiq5FoGWwajkbr2ljVxXm1KfCadKxKRWb51D9c9/S6RaPTgcYtBy3O/mUWfAmcnjq79VHk8VPv8BMJhHAYDDqMBYxe/D04X3mCI+Ru2cue78xt9Z88ZNZgbjpuA4whWFWaqwz2vpl3aOBKJcMcdd9CzZ0/0ej0lJSXcc889RH/2RRBSWzgc4b1/fNIkiQbw37tep3J34kKW6ezAlsw+ffpQUlJCnz59KCoq6vIJmHTRUufVSOTwCqwKgtAx9uyrb5JEA1i7pZz5324iGs28eUS1UqLAYGOIvZAh9kLyDVaRREsT0ViU5bXfN0qiAURiEf617e/Uhus6aWSCICRS5fbyu+c+bJSQAHD7gtzx8qfUNjTtSpkJsk0mBuRkM6KwgGK7TSTR0sjeeje3vf1Zk+/sGz+sY+nWps/mQmJpl0h78MEHeeqpp/j73//Oxo0beeihh3j44Yd58sknO3towmFyVbj48On5CeNfzV3cgaPpWCqVCq1Wi8FgQKvVii2BaeRwOq8KgpAa5GiUd75YkzD+5uerqHPH/30WhM7gDrv5dN/HcWMxYvxQu6KDRyQIQkvKal14g6G4sZ/Kqqj3Nq0lJgidJRaL8caKtQnjzyxaTo0nM5O/7SHtnuK//fZbTjvtNE4++WQAevTowdy5c1mxQtxgpItYDALeYMJ4Q62nA0cjCIcnWZ1XBUFof7EYNPgSX2f8gXBGrkgT0leUKK6wK2G8KljZgaMRBOFw+IPN70YIy2LHlJA6InKUPfXuhPHqBm+TlWpCYmm3Im3SpEl8+eWXbN68GYA1a9awePFiTjrppIR/JhgM4na7G/0ndB6DRc/oE4cljE85e1wHjkYQDk8yO68KmUdcZ1KLSlJy4sQBCeMTR5ZgMYqiukLq0Cg19DSWJIwPsg7qwNEIqUpca1JL9xwbifoJZJn0WMV1RkghapXEpF7dE8aHFeVj0Kg7cETpLe0Sabfccgvnn38+/fv3R61WM2LECG688UbOP//8hH/mgQcewGq1HvyvqKioA0cs/JLRauCKBy5ArW36i9p3TC96DC7uhFEJQvMOdF6NpzWdV4XMIq4zqWdInwK6FzTtVmnQa7j41KPQxrkGCUJnMalMnNPt3Lgxu9pOL2PvDh6RkIrEtSa1ZJkMXDhtZNzYLWdOI8eSeR2ihfQ2tV9PbIamCV6lQsH1x07ArOvaTW2ORNp17Xzttde4+eabefjhhxk0aBCrV6/mxhtv5NFHH+WSSy6J+2eCwSDB4KEtHm63m6KiItHhphNFwhH2bC7nhTtfY/mnqzFY9Jz6qxOZcfmxOAubPvgIQioQXTsT6+qdw8R1JjVV1Lh5a/5q3vtqLcFQhKmje3P5WeMpzLUhKdNuLlHIcAE5wBbPZl7d/RJVwSoUKBhkGcLs4gvI0eV29vA6XVe/zoC41qSi2gYfS3/axTOffcfe2gb6Fjq58dTJDOyWg0kvkhJC6tleVcufP/iSZTv2ANDTaedPpx7LsG556NRikvFwrzVpl0grKiri1ltv5de//vXBY/feey8vv/wyP/3002G9hrgQpw5fgx+vy4dCqcCeaxWreoSkikQiyLKMLMtIkoQkSW1u8NAer5kJxHm1MfF5pI6ILFPr8kEMTEYtBl3XTnoLyVUX8FPj91EfCGDT6cjSGcjS69v0mvWhevyyH0khYVKZMKgMSRptehPn1abEZ5I6qt1eZDmKVqPCZmzbOUAQfs4fClHl81Pt9aJVSTgNRnJMRhSJ9hUfBpc/gMsXQI5GMeu0OM3xd910RYd7Xk27pz+fz4fyF7PIkiQRFYXx0pLBrMdgFhcbIfnaa/WYSqVKqcRZNBZFqRArawQhEZUkkZNl7uxhCBlob4Obm776mO/37jl47KiCbjx2zEkUmFuf1LBpbNiwJWGEySGuM4LQMqdFJCKE5Kv1+Xlh5UqeXrb8YCOAPJOJf51+KoNyclq9ut6q12HVp04Nv2g02iTHk+pS52nwMM2cOZP77ruP4uJiBg0axKpVq3j00UeZM2dOZw9NEIQUEYlEmiTRALxeL2VlZRQVFaVUMuxI+WUv9aEqfqj9EneklkGWcXQ3DsCmcXb20ARBELqE+oCfm7/+tFESDeD7vXv4/def8s8TZmLTpe9EoRyLUhWoZWnNWja4d9DLWMiU7JHk6Oyolel7/RQEQUgnX23fzj+++77RsX0eDxe+/gYfXXoxRVZrJ40sOaorXGxZu4evP1iNyapn+qyx5HWzY7GlfmI67a6ETz75JHfeeSe/+tWvqKyspKCggKuvvpq77rqrs4cmCEKKkGW5SRLtAK/XiyzLaZtIC8o+VtUt4KO9zx48tt71LTZ1Nlf0uge7RtTREQRBaG81fh9LynbHjS0t202135fWibRtnj3csuZJAtEQAEuq1zB392f8Zci1DLb2QhIr1ARBENpVpcfD35YujRvzhsN8u7uUoiHpm0ir2lfPXVe+wM7N+w4e++T1ZZxz5VTOuWIqZltqlzVIu6ug2Wzm8ccfZ9euXfj9frZt28a9997b5Qt9C4JwiCzLbYqnMne4rlES7YD6cBVf7HuNUDQY508JgiAIyeQONX+ubWghnspqg27+uvGFg0m0A8Ixmfs3PE9t0NVJIxMEQeg6ItEoe90NCeMbKis7cDTJFQnLfPTqd42SaAe88e+FVO6t64RRHZm0S6QJgiC0pKWmFenc1GJzw8qEsbWuJfgi7g4cjSAIQtdk1TZfW8bSQjyVuSIeygM1cWPuiJfakLjOCIIgtDeVUklxM1s3h+XldeBokstV6+Hj15cljM9/J/HzTqoQiTRBEDKOJEkYjfH31huNxrROpAWj/oQxORYhGhONVwRBENqbQ2/gmO4lcWPHdC/BoUvtLSnNkWPNr9oOxyIdNBJBEISuK8dk4neTJ8aNmbVaxnQr7OARJU80FiPoDyWMexsSP++kCpFIS0PhUIS92/Yx7+H3uH/247z3j0/Zt6NSdC4VhP9RqVQUFhY2SaYd6NqZrvXRAPqYhyeMFRv6oZPS9+FNSC1V+1wsmr+eB297g2cf/4ydWyvweQKdPSxBSAlWrY77phzP8T16NTp+XPde3DfleGy69F2RZlGZMEjxx69SSDg1to4dkJCx6tw+1m7dywPPz+ee/3zGDxtLqXHFr3ErCF3RxO7duWXKZHQ/e3bpYbMx99xzKLS0vjt0ZzOZ9Yyd1j9hfNopwztuMK2kiMVisc4eREdzu91YrVZcLheWNPsCyrLM+iWbuPXEewkHwwePG8x6HlnwZ3qP6HnYrxWJRJBlGVmWkSQJSZLSOsEgHBlfOERVwMPy6lK84RBjsovIN1iwazMnEZOJ33FP2MVbpU+y2dN4ybOkUHFVr/vpZujdKeNK5/Nqe0j3z6Nibz23Xvkc5Xsa16i47vaZHHPyMAxGbYuvEQqGqatqoKrcRYwYOQV27E4TGq26vYYtpJhYLMa++ga27K1mV1U9/Qqc9Mixk2Mzd/bQksYdDFLj9+IOhTBrNDj1hrTe1gkgR2W+rFzOY5vnNold0uNkTi+chk7q+NrE6X5ebQ/p/JnUun08MXchHy/d2Oj4uCE9uOuKE3DaTIf1OhW+BioCHhpCAQoMFhw6IxZNev8OCkemxuVlb42btdvLcVqNDOqZR7bNhEaVvjtQfi4YiVDl9VLr96ORJBwGA9kJdt6kk93bKrn+rCcJ+sONjvcd0o27/nkxjpzOOacd7nk1vZ8ou6DavXXcc/YjjZJoAL4GP/ee+yiPfvMXsvJsLb5OKBSirKysUWfDA6t1ROOGzOcJB/m09CduW/ER0Z/l0k8qGsBdI04gW394Ny+pTqVSpX3i7JdMaitnFv2ada6lLK56H5/cQIlpCMfnzsapze/s4QkZIOgP8/K/vmqSRAP4+30fMHxsSYuJNJ8nwNL56/n7XW8TDOy/Xml1aq778xlMOGEwBpN4yOkKNu+t5sq/v4nLd2glY2GWhad/dRZF2bbOG1gSWbRaLNqWE8vpRFJKTHAOJVtr54WdH7Lbu498vZOLup/EIGtJpyTRhMyzZXdlkyQawHdrd7Js/W5Omjiw2T8fi8X4qb6SKxfNo9x3qCD76d0HcevwYzPmXlZoXmVdA7c89RE/bi8/eEyjknj0ulMZ1a8oI5JpWpWKblYr3Zqpl5aOCrs7ePLt63n1H1+y7OuN6I1aTrlgHMedMarTkmhHIrOeMLuAmvI6XNXxi7yWbd2Hq8rdYiItEok0SaIBeL1eysrKKCoqalPyISj7CMh+lAolZrW91a8jtJ+9Pje3LP+wyfGPSzcyPqcHs3uP7IRRCYfLrLYzznESg60TiCKjVRrElk4haerrvHz98Y8J4z8s2UK3Hs5mX2PPjioe+cPrjY4FA2EeuWUexX1y6TukqE1jDEdk6jz762fYjHo06vS/Uc40lfUefvPMu42SaABltW7ueOVT/nbladiM+k4andASk8rACHs/epm6EYyG0ShUWDUiMSEkRyAYZu5niYuJv/b5SiYM7YnNnPgcUe5zc9HXr1IXalxL6d1d6yk02vjNoEmo21gTt9blJSJHMeg0mAyZlTDPBKFwhOc/WdEoiQYQisjc9Pf3eeueSyjMzqzkUyaRVBJFJdnc8Jcz8LhnoFAqsDlMSFJ6VB8TibQ0Ew42X+A1Em65AKwsy02SaAd4vV5kWW5VIi0SDVEdLOeLirns8KzDoLIwKftUBlqOEgm1FPP2jsQPyc/89C3HF/YVM3kpTqFQiN8roV3EYjEikcTFxj0NzddJCwZCvPHMgoTxN55ZwO8eOhedvnWrWspr3cxbtIb3v99ANBZj+qh+XHj0SAod4mY5lVS5PVTUe+LGVu8op87jF4m0NGBRp//2ISH1ROQovkA4YdznDyFHm68+tMlV1SSJdsB/Ny/nvF7DKTC27rpQ6/Ly7Y87efH9ZdS4fAzunc8150ykR0EWOlGeIGXUuH28v2Rd3Fg4IrN6a5lIpKUBnUGLLg0T1emR7hMOchZmISVYomqwGLA4W647IsvNd2NqKZ7IvsBu/rn1Zja6lxGI+qgN7eP9smd4b8/TeCOuVr2mkHzRWIxSb33CeE3Qiyw6PwpCl2Uwauk3pFvC+KiJzdfhC/rDlO+uSRgv21l9cLvnkdpX6+byJ97g+S9WUNPgo87jZ+7C1Vzy6OvsrYm/WlvoHG5fsNl44DAm/gRByExGvYbjj+qXMH70mD5YTc0/WO9oqE0Y80RCBFv5POP2BPjnvMX85enP2FVeh8cX5LsfdzLnrlfZsH1fq15TaB8ROUoglPhaUlkXfzJHEJJBJNLSjC3XygV3nBU3dvXDF+HIb3mFitTCMueW4vH4Ig18WPYf5Dgt0Tc2LKM+VH3Erym0D6VCwXEFfRLGRzm6YVCJ+ieC0FVZbAZ+devJSKqmtwgjxvUit7D564zOoKXXwMQt2fsM7oa+FavRYrEYC9dtj5swq3Z7+WDZemRZTAKkioKsxPVNdGoV1jScfRYEITkUCgWTR5SQ52i6AMBq0nH6tKGoWnge6W/LSRhzaA2NuhweiRqXlw8Xrm9yPBqL8dDzX1JTL7qKpgq9VkVRji1hfHifgo4bjNDliERamtEbdZz6qxO54/WbKB7QDbVGRa/hPbj/k9uZfPY4VOqWLxqSJGFM0OnDaDS2KpEWkL2U+jcnjG9tWH3Erym0n6NyupOrb3rzIikU3Dz0GNHtSBC6uJ59cnnilWsYNbE3ao0KR46ZK357Ijffexb2rOa3fWu0Ks6cMxllnBoXSknJGZdNRqM78q0xnkCIT1ZsShj/fOWWJvW4hM6TZTJw0qj4re0vP34sDrPYMigIXVmew8LTf5zFeSeMwGTQYtCpOXXKIJ6/a/ZhbccrMWdRmGDr5q8HTSRH17oSJWu37E0Y27m3Fk8Lq22FjuO0mvjtrKlxY326OZtNsglCW4kaaWnI6rQw9ZwJDJ06kEhIRqNVY80+/M4WKpWKwsLChF07W1MfTaFQokRJlPirATSSqIOSSgqMVuYecxH3r5rPV+VbicZi9LVmc8+o6fSyODp7eIIgdDKNVk2v/vn88cFz8XmDKCUFdocJpfLw5t/yixzc++zlPHrrPKr37d/a78yzctNfz6Gge+vOMZJSgVaT+PqkVatQKhWtem0h+cwGLb87fQoFWRZe/WYVvmAYu1HPVdOPYsbIfmgPY+JPEITMlu+0ct2syVw4YzQAFpMOnebwJlryDBZemnY+v//uA1bWlAGgk1RcM2A8pxQPRDrM69Uv6VuogZYuhdC7ihF9CnjkVzN5ZN5C9la7UUlKTho3gKtPHY/TKuo9C+1H3MWkMXsbsuwajYaioiJkWUaWZSRJQpKkVnfrNEoWBlrHs861JG68j3l4q8cqtI/uJjuPjDuN2qCPaCyGWa3FoRMrBARBOMRo1mE0H/kKVY1OzfAJvXnsjetw1/sgFsOSZcSRY0GhaF2yy6DVMHvqCL7ftDtufPa04aJ4fYpxWoxcM2McZ08YQjAio9eocFqMrX7AFQQh82jUKnKyWq7xHE93cxbPTDmH2qCPQCSCVaMjW29CK7X+EXdgSR6SpIxbKmDMoGKsJrFrI5WYDTqmjejNoJ55+IJh1JISu9nQYkJUENpKJNK6MJVK1erE2S9pJB0n5l1Aqe8nXOHGRaZPLpiDWWVLyvsIyWVSazGpRZ0aQRCST6FQ4Myz4sxLXsesQd1zOWZob776cWuj42P7FnFUv+KkvY+QPGpJIr+ZemmCIAhtYdcasGsNSXs9h83I7VecwD1Pf9r4fSx6fn/pMZiNIpGWirJtYvWZ0LFEIk1ImixtHlf1up/tnnVsdC/DrLYzJut4bJoctFLyLnCCIAhC1+S0GLn93GOYPW04by1ZSyQa5czxQ+hT6MRpEStqBUEQhLbRadVMG92bfj0v5oMF69hb5WL80B6MG9qT/CMopSMIQmYTiTQhqWyabEZmHc1w+xQUKFu9hUcQBEEQ4nFYjDgsRkb22t8Z9HDrtglCJgiEIzQEAkhKJVlGMUkpCO3BoNfQq5uTGy+cRkSOohJ10YQuJBqN4qrxEIvGsDpMSKojb0TYFYhEmtAulArxCyd0LZFIJGk1BwVBaJlIoAldSUSOsqfOxXOLVrBkyy6sBh2XThzJhN7dcYoOqILQbkQSTehKqvfWsvDt5Xzy32+IhGWmnTWWGZdMIbfY2dlDSzniKU8QhIxUU+NhT1ktP/5YitNpYtiwYpwOM5pmuv61VigUStgFV6PRJP39BEEQhM7n8gWocnlYunEX0ViUiQN6kmM1YW2HGko7qms5719z8YcjAJS7Grj1zc84YVBv7jr1WLJMYnWaIAhCpgmHZKqr3KxdvZvKCheDhxVT1N2Bw9m6Bh3Nqd5bx53nPMGODXsOHnvt0Y+ZP3cpj356q0im/YJIpAmCkHEqK93cftebbNtWefCYSqXknrvPZOSIHklNpkUikSZJNACv10tZWRlFRUViZZogCEKGqfP4ePbz5by0YOXBY4+9t5hzJw/j2hnjsCcxsdXgD/LwJ98cTKL93Ofrt3LFlDEikSYIgpBhwmGZH1ft5K7fv0Y4LB883qMkm3sfnU1OEps5AaxduqlREu2AmvJ6Pnt5MRf8YabY5vkzYq2qIAgZJRgM8+LLSxol0QAikSh33f021TWepL6fLMtNkmgHeL1eZFmOGxMEQRDS1+ay6kZJtANeX7SGDbsrkvpeDYEgS7buShj/cuO2pL6fIAiC0PlqqtzcdXPjJBrAzu1VPP/UVwQC4aS9V8Ab4PNXliaMf/3mMlxJfoZKdyKRJghCh4tEIgSDQXw+H8FgkEik6Sx7a9XV+5j/xboE7xtl3fqmMy1t0VKiTCTSBEEQOpY/GGJPdT0/bN3Dul372FfXgByNJu31fcEQ//3qh4Tx579cgccfTNr7KRQgKRLfsuvUYtWzIAhCR5LlKJUVLn5aX8ba1bspL6sjEAgl9T02b9xLOBT/OWLB/PXU18afyG8NhVKJSp14tZlaI6FQiiaCPyeuvIIgdKj2ricWichNZm5+ri6JFx0ASWp+iXNLcUEQBCF56jx+5n6zimfnLyfyv+SZ3ajnkctPYVj3fFRJ2JYSjsjUenzNjiGcxEkUq0HP9CF9+XDNT3HjxwzolbT3EgRBEJoXDsms+3E3997+Fg1uP7C/hMxFV0zl5NNHYrEmZ6t9c88sshwlEknedUar13DqlUezfP7auPGTLp2KrR3qsqUzsSJNEIQO01I9sWSsTNPrNBQW2hPGBw/u1ub3+DlJkjAa43dMMxqNIpEmCILQgZZt3s3Tn31/MIkGUOf1c80/36a8riEp72HUaZg8sGfC+MQBPTDptEl5LwCDRs1vjptAdpzunFdOHUOOxZS09xIEQRCaV1lRz+03vXowiQb7d708/9TXrFtTmrT36d/MM0tuvhW9IbkNzXoN7c5R04c2Od57aDGTTh2FQiFWpP2cSKQJgtBhOqKemMNh4tfXHhc3NqB/PvlJLsypUqkoLCxskkw7sMpONBoQBEHoGDVuL//85Nu4sVBE5qu1W5PyPipJ4rSjBmHWN02WGXUazpk0FHWSCzIXZVmZe8153DnzGMb3KmbG0L68cvW5XDZpFFZ98ruECoIgCPF9/fl6IpH45QJe/M9CXPXJ2f2Sk2tlyPDiuLGrbzgh6Z07s3Kt3PD4Jdz75o2Mmz6MUccM4o/PX8Pdc3+DsyDxIoWuSjzhCYLQYTqqntiQwd346/2z+Me/vqC0tBatVsVJM4Zx3qxxZGUlf+Zeo9FQVFSELMvIsowkSUiSJJJogiAIHSgSjbKnxpUw/tOeqqS9V6HDwos3ncej7y5k8cadAIzrV8zNZ0yjMCu5EzYHFNgsnD9uGKeNHIhKqUQjuqcJgiB0qKgcZduWxA1l9pXVEUpQ1+xI2bOM3PaXs3jz1W/5+N0fCPjDFBZlcfUNJzA4QYKtrbJyrWTlWhk6sR+xaBStIXmrqzONeMoTBKHDdFQ9MaNRy9gxJfTuNZtAIIykUmK3GdFo2u+Up1KpROJMEAShE6lVEr3yHGwqi58wG1FSkLT3UigUlORl8cAlJ+H2BQCw6LWYDe2/OsygUbf7ewiCIAhNKSUlg4Z2Y8nC+DUru5dko9Um73nAmW3m8muP4cxzj0KWZbQ6NVmO9q9VptGJ60xLxNbOTtTQ4Keqyk1dXXKLnwtCquroemJZWSYKCuzk5ljbNYkmCKkqGIpQUddAZb2HiOggK2S4LJOB60+ZGDdm1GqYOKBH0t/TrNdS6LBS6LB2SBJNEFJNNBqjyuWhor4Bb5K7FgpCKpo4tT86ffxE02XXHJO0ZgMHqDUqcvKs5BdmdUgSTTg84smyE/j8IXbuqOLfzy5g0+Z9ZGebuXD2BMaM7onNFj/JIAiZ4EA9sURdO8WKLkFIjlgsxp5qF899towvVm1FLSk5fcJgZk0ZRl6WuAkTMtfQHvncde5xPPreN3j+91DfPdvGQ5eeTL7d0smjE4TMUuXy8MmKTby6YBVuX4Cj+hXz61Mm0D3Hhlrc0wkZKifPyv/942Luv+tt9u6pA8Bk1nHtjSfQp29eJ49O6CiKWCwW6+xBdDS3243VasXlcmGxdPxN1bffbeX2O99scvz000Yy59IpmExiRlPIbJFIRNQTyzCdfV5NNZ39eeypdnHhg6/i8gYaHS/OsfHMDWeTaxfJNCFzRWSZKpeXeq8flSRhN+lxWsREZbrr7PNqKurMz6TG7eWW5z9mxZY9jY6rVRIv//48+nXL6dDxCEJHq6324HL5iERkrFYDjmxT0nfXCB3vcM+r4sm1g1VXN/D4E5/Fjb373krOOH10i4k0WZap3lPL5hXb2LttH/1G96ZbvwKchVntMWQhzfl8IVQqZUptbRT1xASh/YTCMnO/XtkkiQawu7Ke5ZtLOeWogS2+TqXPw05XHSsr9lJgsjAit4A8gwm1uEkUfiEYDBONxtDrNZ09FGB/V838LAv5WSLZIgjtZXdVfZMkGkA4IvPoO9/wf5fPxNxCoXJP2Etd2MXa+p9QKpQMtvbHrrZgVCd3a5yQ/sIRmVBERqdWIUmpUZ0qy2kiy5n8JmZCehBPsh3M4wlQVdWQML5tWwVF3RInxKLRKFt+2M4tx/8FX4P/4PH8klwe/PxO8ktykzpeIX1VVLj49vutfPPNJkwmLWeeMZoePbKxJXnfviAIqcXl8/P1mm0J4x8t28hxw/ug0yYuJFvmcXP5J2/xU131wWNaScUL089idF6hSKYJANTWedmyrYJ33l9JMBThxOMGM3JYd3KyxYpHQch0C35MfJ35flMpnkCw2USaO9TAW3s+4eN9Xzc6fkbhdGYWHItZLRIUAniDIfZUu3hl0SpKa+oZ0aOQ08YOpDDLgkrciwidSCTSOpjUQqvylmZzq8tq+eNJ9zdKogGUb6/g8Wue4c55v8Uk6qx1eeX76rnxt680StouXrKFU2eO4LJLJmMVyTRByFiSQomuma5+Rq0GpaRIGPeFwzy8bFGjJBpAUI5w2adv8cWsOXQzW5M2XiE91dZ5efwfn/PNki0Hj61as5vibln83/2zyMkWq8EEIZOZ9ImTZFq1hFKR+DoDsM27u0kSDeCdsk8ZZhvAIGvfNo9RSG+BcISv127jj69+evDYD9vKePmblTz363MYXCzqkQmdJzXWRWaocChC+Y4KvnxlEa89+A5rF21AE4sxcmT3uD+v0ajoXuxo9jX3ba+kodYTN7byix+pr3K3edxCeguFIrw699u4Kx/f/2AVlZXJ/45EIjJV1Q1UVbnx+YJJf31BEBKrrnSz8vttvP7CIhZ9uZ6wJ8TVJ41L+PPnTRuOppmt1TUBHx9ui9/WPSBHWF9d0eYxC+lv567qRkm0A3bvqeXT+euQ5WjS37O21kNVlZv6el/SX1sQhMTqvH5+Kq/k+cUrmPv9GnZW13H8yMSJrplHDcRu0ieM+yJ+3i2LX+oG4IO9XxCQxf1kV1fT4OXuefObHA+EI9wx9zNqGrxx/lTbNHgCVFa5qa5paJfrmJA5xIq0dhIORVj7zQbumPlXwsHwweMlQ7tz11s3c9Pt86iuOfTLr1QquP22mWRlNb+M2V2TeFsoQEi0ne7yXC4/879YnzD+1dcb6NMneTM4VVVu3nt/JR98tBq/P8S4o3ox57KpdCu0o2phBaYgCG1TvqeWW3/1IvvK6g4eMxi13P+Pi5g5dgAfLNvY6OdPGzeQkvzmJ2xCskwklvjmscovkhhdXSQS5f2PVyeMf/TZj5w8fSiOFu5pDle9y8eKH3bywkuLKd9XT4/uTq6aM5WBAwoxm0WDJkFoT9UNXh74eAGfrN3c6PgtM6bw+NWncuPT7zc6XuS0MueEsWjUiR8zw7EI7nDiZxpX2E0kGgGp+RprQmbbVVVPKCLHjW2vqKXeG8BhTs5OrGAwzM7dNTz1/ALWrNuD1aLn7NNGMf3YwUm7lgmZRSTS2knN3lruPPXBRkk0gO0/7uKVv7zBP/52Ed8t38GKH3ZSXJzF8ccOJifH0mJB+KJ+BQljJpsRk1Vs6+zqYsSanUEJheJfkFqjurqB225/g+07qg4eW7xkC8tX7OBf/7iUHt2dSXsvoWUxuQqQQWFAoRTbqjJdg9vPY395v1ESDcDnDfKnG1/l8RevZMZRA3j/2/Vo1SrOmDiY4mwbdnPzW7uNajX5RjPl3vgPOUOdYitFVxcjRjic+FoSiURJVk94vz/Em28v55XXvjt4bPuOKm69801+f+N0pp8wWHRJ60ANYS+haAhJIWHTiOtMV7Boy84mSTSABz/5hjeunc282y7g7SXrqGnwcfyIvgzrmd9iZ2iDUsdQ2wD2+PfFjQ+zDUKvEknyri4iN//MEkvWhQbYsr2S6//wKnJ0/2vW1nl55oVvWLlmN3f8/mTsonRShwkGwrjdfhQKBTa7IWUXZohEWjvZvGJbwtVhX89dwsV/msXMU0Zw8knDUSoVuMO17AttpaqmlCxNHk5tAVZN0ySEPc/GxNPHsOTd5U1il95zLo4Ce9L/LkJ6MZt0TJrYl4XfxN+adfTRA5L2Xpu37GuURDsgGIzwwn8XccvNJ6dMF7dMFpOrIfgFMe+/IVoN6hFg/h1IvVEoE2+tENKbq87LmhU74sfqfdRWNTB+eHfG9S9GoVDg8vqpcnlZuHY7Bp2GgcW5ZFsMaH9RTy3XYOL2cdO47ssPmrzumNxCCszi4bmrU6skTjpxCEu+2xo3fuy0AVgtyTn31NZ5mTvv+7ixf/37a0aP6kFujqjZ1958ET+7fGW8vOs9dnhLcWrtnN1tBsNsA7CqRXOJTFXj8fHsohUJ42+sWMudM4/h1lnHEI3GCIcj1NR6+XrhRvz+MAP755PlMGExNz4fqCU10/Om8VXFUgLRxls4DZKeo3PGIylS8+FZ6Dg9c7KQlIqDya2fK7BbsBiSk2ytd/l4/F9fxH2fFat2sq/CLRJpHSAajVFeVscrLy5myTeb0aglZswczilnjCInJ/XuPUUirZ3UlNcnjEXCESLhCLB/S2dtcB8v7PgLNaHygz9jVtm5rORucnVFjf6sxWHm+n9cSVG/Qt77x6f4PQEcBVnMufc8xs0c3WIzAyHz6fUa5lw6mRU/7MDrbXxzMn5cbwqTmGz96uuNCWPLlm/H4wmmZSItEokgyzKyLCNJEpIkoWqmplRnisl1xBruh8CHhw6GlhKr+Q6F/b+gParzBie0q1Aw0my8wbW/KY1CoaDG7eXRt7/h4+WHEuwqpZJ7L53OlME90WsP/Z4qFAomd+vBv44/jfu+W8CeBhc6ScW5/Ydw7fCjcOpFsxIB+vXJZ2D/fDb8VN7oeJbdyBkzR6BWJ+d+pKqqgWichxsArzeI2x1Iu0RaNBalPlSPK+wiHAtjV9uxqC1oU3QbWywWY61rEw9teubgsTJ/BX/b8gKn5B/DuUUnY1CJSZtMFIlGqfP6E8Yr3B6i0RiScv/WuKXfbeWBhz5qtDPihOMGcc2VR2O3N05E5Ogc3DvkZp7b8Tob3PvrLQ6x9Oeykllka7Pa5y8kpBWH2cB1Mybwt4+WNDquVCj406zjyLEmZ8ulzx9iy7bE9V9XrN7JgH75SXmvjlQfaqA+5MEd8WFTm7BpTFjUqZsQLN9bx6+vfA6vZ//zqw+Y+9JSFi/cxEOPz8aZYsm01HwyzAADjuqTMJZT7ERv2p9B90UaeKP0iUZJNICGSB0v7byfq3rdh0Xd+GKSlW/n4nvOZea1JxIOhdHqNTgKslC00B1H6DoKC7N46p+X8s67P/Dtt1swGnWcfdYYRo/q0eRGpi0szaw40Os1KNKwnUkoFKKsrAyv91ANQ6PRSGFhIRpNCiYFo5WNk2iHAsTcd0PWSygkscU2E5nMOgwmLT5P/ILMhf9rXhOLxfh6zdZGSTTY/4B02/Mf89Ydl9Azr/F1xqrVMaNnX0bmFOCPhFErJbINBjSSuG0Q9nM6TNxzx+ks+W4r736wilAowtFTB3DK9KHk5SYvsaXRNv+dU6nS60ITiUbY5t3GP7b+g4bI/u3TkkLitILTmJY9DXMKru6qDdXzzPbX4sY+Kv+a6XlTRCItQ5m0Gsb07Mbn65s2FgE4un8J6v9N4ldWubnvrx802db9+RfrGTqkiJNnDGt0XFJIdDcWcnO/q/HKPkCBSWXAqBKTNcJ+Bq2Gs8cPYVBRLk/P/559dQ0M7JbLVcePpXt28hYGKBUKVColkUj80jgmY2pOcjRnn7+WP69/gc0New4eG2Xvy839zyNbZ+u8gSUQCkV4Y+73B5NoP1e6u4a1P5Zy9HGDOmFkiYk74naS293JoAn9WL90U5PYNY9egqNg/0OLN+Jity/+Fry6UAWecH2TRBqAWq0ipzh1Ho7TaQVPV6BUKigssHP1ldOYfd44JEmJ1Zr8G5MZJw7h3fd+iBs77dSRabcMOhKJNEmiAXi9XsrKyigqKkq973V4VeKYvA1iDUDqnCuE5Kh1eYmplVx09dE8/cinTeJTjhuE3bF/prbG7eOF+fF/T2Mx+Hj5Rn49c2LceK4xdQrs7nM1sLO2nj11LkqcdrrZreSYU2d8XZHTYea0k0cwZWJfYrEYFrM+6bVMnA4TFoset7vpqpjiIke7XNvaU02ohv/b9H9EYodWlMoxmbfL3iZfl8/orNGdOLr4PBEf9eH4Hb9jxCj1lZOvz+ngUQntLRptQCu5+NXRY/j6p22Ef1F/12kyMql3j4P//9n8dQlrI776+neMP6pX3KZqJrURU4qskqkPeagO1rOlYQ92jZkepnycGgsqZYrd+3UhVoOecX27M7BbLsGIjFGrxqBN7sS21Wrg2CkD+Oyrps3aFAoYM6JHUt+vvdWFGrh73fNs8ZQ1Ov5D3Wae3PI2tww4H2OKTX643X6+W9y0FuMBX3y2jolT+rVYT74jpc5IMsSBhJLWrOGPc29k3kPv8elzXxH0h8gvyeWaRy5m6NRD2dRQtPnWzoFo8tv6JlvareBJYw0NfmprvWzYuBetVkX/fvnYs4zodfE/Z7Va1WIn2LbIzbNy0YUTeOnlpY2O9+ubx0nThyJJ6bVSQJblJkm0A7xeL7Isp14iTdHczacCENu9M4nXH2TdtnIee2UhO8pq+NUZE/j1bSfz2n++oaaqAYNJy+nnHsXMWWMx/2/FqByNUu32JHzN0ur6Dhp9622trGHOi29R+bNW9z0ddv590Rl0s6fXtr5UJ0dD+CLV1AQ3E4w2kK0biEHlRCcl/pzbc9LEkWXiL3edwe9ve71RgwOjUctdfzyVrCSusu4IP9T90CiJ9nPv7n2Xvua+WNQptn2lhVpVuhTdkiq0TiwWIxLZhtt1D8Hgl5hVU3nx8ju5/6NVrC2rQKlQcEz/Xvxu+iQK7Pu/q9FojLK99Qlfs7bW22wjrFRQE3Tx8E+v8kPdoYd5nVLDX4ZcwWBrT5FMS7JyTwM7XXXsrK+jxJ5Fd4uNPFPiFbnJqocWj16nZs6Fk1i7oYy9++obxW6+fnq7Pku1h7qQp0kS7YCl1eupC3lSLpGmVCjQ6dUJ4wajBqUytZ4rxRkhiX6ZUFIoFJxxywzO/t1M5EgUnVGLI7/xMlS9yoRKoSYSC8d7SSxqR7uPuy3ScgVPmqqv9/LcC9/w4UdrDh5TKhX8/rczmDK5HwZDx9/IWsx6zjpzDJMn9WP+F+tpaPBz9LSBlPTMxuFIr4sO7E+ktSXeKdTD2J8sizM2zRRQigYkmWTNlr3c9H/vHPz/f76zlMEleVx510x6FWSh02nIcpoarQrSa9QM7p7PD1v3xHtJJg3s2e7jbovKBg/XvPpeoyQawI6aOm5551P+cd6p2AypdUOYriLRIGXe7/l635+I/uy+pIdpGuNybsKg6vh7EklSMnBAAc8/czlLv9vK1m0VDB7UjdEje5KX2zEJp6AcoCHSgByT0Sl1WDW2Vr/WLt+uhLHKQGXCJFtnMqtNlBiL2O4tbRLTKbXk6bI7YVRCe5Hl3VRXzSQWcwEQiywgV7OZR8/+FbLyAiSlFptBj/Fnq4KUSgXjxpbwzaKmO3EABvYvSOmauWE5wlulCxsl0QAC0RB/XPsMz425lTx9aj+TpZNtdbVc8ME89nkPTfJ1M1t5eebZ9LB2zn1rXq6VJx48n42by1ny3VZyss0cO3UA2U4zhg747spylEqPl0A4jE6twmkyom5lR2pXOPHkaYwYPjnQ2mG2G3uWkZlnjOKpJ7+IGz/tzNEpV8pBZDiSJF5CKRaLUVdfi9FopKhH/ISSWWVngnMm31S93SQ2xDoRYzMzwKkgLVfwpKkfVu1qlESD/TOAD/3fx/Ttm0dJz87ZVmEx67GY9fTuldsp75/MbcVSCxesluKdQpmNwvpXYq4/AD/bU6HMQWG5A4Uy9ertCK1TU+/l0Ze/bnJ83fZ93PrURzx713kU5zV9oLUYddxwxiQu+b/Xmmy7cVqMjOrTrb2GnBRVDV721Lnixn7YtZdar18k0pLEG6nkq/I7iNF45chOzwJydIMZZJ+FohOKX6pUEoUFds45c0yHv3dNsJq398xjZf0K5JhMtjaHWUWz6Wvqj74VM/q9Tb1ZVrssbqxAX4BakXhGvrNY1CZ+0+cS7lz3KJ6I7+BxJUpu6juHLE1q36sKhy8Wi+DzzjuYRDsgKu9FId+B1VSGxXIrijjf05HDu2O3G6mra/xcoFQquPLyqZhM7beiqK3qwg18UL4kbiwcjbDOtUMk0pKkyuflqk/fbZREA9jT4OLXn3/Ai6ecjaOTmhplO81kO81MmdC3Q9+3xuPlndUb+Pfi5bj8QYxaDZeMG8HsscNwmo581XWWJvG9v1KhxCil3j2TQqFg6jEDWfjVBjau39sodvJpIygqTr3fv9RK66Wxw0koxaNWapjonMnxuRegU+4/aagVGiY6T+XkgjnoVam9ZSEtV/Ckofp6H6+++m3C+IcfrU7Y1SyThUIhSktL2bJlC9u3b2fLli2UlpYSCoVa9XqSJGE0xv+dMxqNKZlIUyj1oD0OheMjMFwF2ukoLH9F4ZiHQtW9s4cnJJEvGKL0F1sOfm715vjL+AF65zv453VnUpxtA/bX/Bg/oJhnbzqH/KzU2kb2S+5A8yUQ/OH4K7qFI7ezYWGTJNoBa+vm4ovUdPCIOld9qI7HNz/M8rrvkWP772eqgpX8Y+vjbPdubdVrDrcOR6eMn1A4q9tZKdlsAKBIn8/DQ2/jqpLzGO8YwaxuJ/H4iDsZYu0ntrxlkGi0gWDwy4TxYGAB0Wj8enm5uVaeeGQ2o0YeuvfoVmjn4Qdm0b17atdqjcRkAnLie8d9gdoOHE1mq/b72FYf//NcX11Jjd8XN5apAqEwL3y7kv+bvxiXf//9jjcY4p8Lv+fxL5fiaeEeKB6r2sRQa0nc2LE5I7E3k2jrTM5sM3+672zuf+Q8jj5uECfNHM4TT1/KZVdOw2pLvXqo4sqXJG1JKJnUVibnnM5w+xRC0SBqpQazyo5KmXqzkr+Ulit40lA4IlNTm3iZ7r59LmRZRtmFbmbbY1uxSqWisLAwYc2/VF1dqVAaQdkbhfr3xGLRTlkxIrQ/lSShVkmEI/GvJw5r4okXvVbDuP7defamWTQEgqiUSmxGHeZ2rDmSLHmWxNvENSoJqz71/w7poiG8N2HML9cSo2tN2Oz1l1ER3Bc3Nq90Lr8zdD/iemYOrYNb+t/Cv7b9i8pgJQB6Sc+sbrMoMcZ/8EkFCoWCHJ2DE/OmcHzuJJTiOpORFAoNSmXTJmcHKJU2FIrE29y6dcvi7jtOx+X2I8tRTEYdWVmpvSgAQKvUkK9zUB6IP1kw2JraJRDSiS/c/GS3P5J629vbU5XXxwvfxm8c9taqdVw5aTQm3ZGV77FpTNw28AIe2/QGy2r3NzVUouDY3JFc0etkDKrUrWvpcJpxOM2MHluCQqHo7OE0KzWfCtNQWxNKkkLCpkm/GhMHVvDEW42Xqit40pHBoGHQoEK+/Tb+DPiY0SWo1V3r17m9thVrNBqKiorStgutSKJlLrtFz4nj+/PhoqZdpVSSkqF9Clp8DafViLOZhFsqyjIamDGoL5+sb9rN6ZJxI1u17UGIr9A4hs3u9+PGnLr+qJSpe/PdHjY1bEwYKw+UtdgwKh6lQkkPYw9u63/bwbprZpUZm9qGpEyPeyaRRMtcSqURo+kagsEFceMm869QtlAywmTSpfQ2zngcWgtX9TqVP69/vkmsmz6bIoPoSpssDr0BBcSdllEpldi06fXdaat6n59wggU3sRhUe3x0dxx53bgcnZ0/DryQ+rAHXySISaXDrjFjUKXH55vqSTQQWzuTJh23hCXDgRU8v/y7p/oKnnRjNGi57JLJKJVNTyoWi57x43p3wqg6V3tuK1apVGi1WgwGA1qtVnyPhZSg06i56swJ9OrWuE6EJCl58PpTybalX4OPw2HV67htxlQuHjcC3f8mDExaDTccO4FLx488eExou2zdQIyq+A+MY53XNdu5MxNlaRLXZNEpdSjb0BXZprFRZCiih7EHDq0jbZJoQuZTqwdjNM5pctxguAi1enjHD6iDDLf14Y8DLsLxv5p/ShRMdg7jr8OuwaHtWue+9uTQGzin/+C4sQsHDiPb0LUmx/Tq5neg/bypx5Eyqw0UGXLoZymi0JCdNkm0dCHuPpMkXbeEJUO6r+BJF0Xdsnjk4fN57G+fsXv3/qXnw4cVc+P1J5KXd+gCHw6FCfpC6AxaVJrM/TfoqtuKY3IFRLYSC/2IQlUE6uEg5aFQZO6/tXBIrsPME384i13ldaz8qZRsm4kxg4rJtpvQZHBCKcds4nfHT+KS8SMIhGX0ahXZ5tZ3tBLiM6lzmdHtSb6rfJw9vu+AGGZ1AeOybyJL1+fgz8ViMTyBECpJiV6T+mUoWmuAZRCSQjpYH+3njs45Dqs6Mx+uA7ILb7iSMt8yJIWWQsMY9CoHWikzk/VCY5KUhcn8ewzGCwkEvgBi6HTHolTmI0mZ2wncpNYzLWcEg20l+CNB1EoVVrUppbfBpSOzRsvvj5qMQ2/gv2tX4YuEMak1XD5sFBcNGo7hZ4klfyBENBrDaMjcfwO7Uc/A/Bw2lFc2iRVnWckypl5jgGQIBMNU13pYuW43roYAIwcXkZ9jJcuWPolURSz2yx5emc/tdmO1WnG5XFgsyS2ynMwOgoIQT22tF483gCQpsZh1mM37T7BBf5B9O6p47++fsHX1TkqGFnP6b04ivyQHrT7zLkCRSITS0tKE24pbUyMt1cUipcTqLgW59NBBhQGF/XlQD0Wh6LykQnueV9OR+DyEdBaSPQRkF1EiaJRGDKpDhcL31rn54sctfPHjVsw6LRdNHUnfAidZptQrBNxWITnEpoaN/GvbE0Rih+r29DMP4PKe12DT2DpvcO3EH6nl+6on2d4wv9Hx0c5r6Gc9Fa3UeeczcV5tSnwmQroKyTJVPi/+SBidSk2u4dDkWE29lw3b9zFv/ipCYZmTJg5k3NAe5DpSs0h+W+2sqWPOf99ir6vh4DGnycALl5xN75zU61bZVv5AmCUrtnHP3z5q1Cxv2MBu3H3TKWRnde6kzeGeV0UiTVx0hAwgyzIrv1jLHac8QFQ+1HFNqVRyz3t/YPSJw5FUmbdyIxQKJVwFqtG0fil0KopF3cTqb4TQ4qZBhQWF430UqpZrZLUXcV5tTHweQibaU+Pi4idfp8rdeALjnPFD+M2MidhNmTdzHo6GcYXr2eHdTkPYTS9Tb7I0DsxH2GQgXWxzf87CfffEjc0s/g/Zuv4dPKJDxHm1KfGZCJmmpt7L/c9+zuLVOxodL8qz8fdbzybPkZnf8wp3A9ur69haWUNPp51e2Q7yrZmZOCzdW8vs658jXhbq0rPHcdms8Z26s+hwz6uiRpogZIDa8noevOjJRkk0gGg0yoOX/J2a8rpOGln7OrCtuE+fPpSUlNCnTx+KiooyLokGQLQ2fhINIOYGeXfHjkcQhC4lEA7z1OffNUmiAbzx7VrK692dMKr2p1aqcWqzGZN1FMfkHk93Y8+MTaL5I3WsrX01YXxj/ZtEY12ro54gCB1ra2lVkyQaQOm+ej5atAH5F886mSLXYmZ8STEXjRvBpN49MjaJBrB4+ba4STSANz9eRW29r2MH1EoikSYIGaC+0oWrOv5DTEOth/oKVwePqON0mcYAsRa6w0UzM1kqCEJqqPcG+HjlpoTxT1cljgnpIYaMX058LfFFakQiTRCEdhOOyLz91Y8J4x8sXEddQ3okWYTEKmsaEsY8vmCj7Z6pTCTSjlBtrZeKChc1NR664K5YIUW19F0U39UMoLSAwpY4rup6nVszlafBT2V5PVUVLkKhzH5oDcsytUEPDWF/Zw9FOAzNXUsiaXLjKySmVpooMIxOGC82TkKlFF3fMkFIjlDubaDM48YVDHT2cNpdnd9Prc9HVNwPp7hYsyvO5GgUxD9h2hs3omfC2IDeeei06dHEKEOXbiSf2+1nzY+7+fd/FrCnrA6nw8SFF0xg8qR+2O3p013icImmCenFlm3FaDXgdTWdpTFYDNhyMrOzWJeizEFh/h0x951NY9rjQMru+DEJSRWJRCjdXs0zj37G6u+3o9ZInHDqCGbNmUxOvq2zh5dU0ViUMl89b+xaxuKqzVjUei4pmcQwexFZWtEZMBVZ9FqOHdKLz9ZsiRufPrxvB49ISDa1UsewrIvY6fkaORZqFNNJdopNEztpZEIy7fW4eWrtMl7f/CMBOcLE/GLuGHsMvW0ONBnWCbmioYEFO3fy6po1hKNRzhgwgJP79aNA1JNLSWqVilOnDWHRqu1x49PH98dmybxanF1NSfdsiguz2F1W2+i4QgG/uexorGnybyyaDRzGiTQSkfn4kzU8/sTnTWJnnD6KOZdNyai2vF2pgHumkCMyi97+nvvOe6xJ7NaXr2fqOeNRqUUiNN3F5HoILSLW8H8QLQeFEQwXoTBciELKOczXqAa5lFhwAShMKLTHgJSDQtm2Wgyi4HFjrfk8dm2r5LrznyL8i1VoBcVZPPjvy8jOzZyE+PaGKi5e+jSeSOMtyzMLh/O7gdOxaTJvgioT7Kyq44LH5+L2N/53O35ob+44+9iM7NzZ1cjRMHWhHXxX+RiVgbUoUFJkmsgY56+waooO6zU8/iDVLi8L12zDEwgxaXBPumVbcVja9nstrjNNHelnss/bwOxPX2ebq/EDrEYp8cGpF9E/6/DuJdJBhcfDte+/z5p9+xodL7JaefWcc0QyLUVV13m47ckP+HFLeaPj2XYT/77zXPKzM+deqCvbV+XmuXlLmf/NRsIRmV7dndww5xgG9M5Dr2s53yDLUarL61n/w052bt5H3yHd6Du0iJwCe5vHJrp2NuNILzoVFS6uuOo5vL6mNYqUSgX/fe5KCguz2mOoHS4SiVBaWtooiXaA0WikqKhIrExLUb4GP3s27eWV+95i1/pSigd0Y/btZ1E8oACDWTzcZJKYXAmxAChUoMxGoTi8JdAxuZKY6w8QWto4YLoVheFsFMrW31SKB5zGjvTz8HmDPHLXOyz5ckPc+O0Pn8vk4wcle5idwhMO8MfVb/JNZfyaWnMnXcsAa+d1oBUSi8Vi7Kl1M2/JGhas345Jr+GSqaMY3bsbTrNIfmaSQMRNOOoBhQKt0opGOrz7CI8/yAffrufheQsbHR/Trxv3XjaDbFvrV5yK60xTR/qZfL5rC1d++U7c2HFFvXh86imYNZmxOOCTzZu57sMP48Z+O3Ei14wZg6QUVY5SUVWdh6VrdvDmF6sJhWVOGNePkyYPIt8pfu8zSTAYps7lQ47GMOjV2K2Hdx8Ri8XYsm4Pt170DH7vofyMNcvIQ69cQ3Hv3DaN63DPqyIjchgaGgJxk2gA0WiM8n2uw06kudx+qqrc/PDDDlRqFWNG9cThMGI0pkbNCVmW4ybRALxeL7Isi0RaijKY9fQd3YtbX/oNfm8QvVGL3pQeS2OFI3O4q89+LhaLEgt83DSJBuD5K2gn7K/DJnQKnyfAqu+2JYx/8/k6Jh47AOVh3PQHg2Fqqj2sXrUTl8vPsGHF5BfYsGelxpbJhnCARZWbE8YXVPwkEmkpSqFQUOSwcv3JE7n06FFIkhKbQVxnMpFOZUHHkV8TymsbmiTRAJZv2sNH32/k4uNHo1QqkjFEoRU+2vFTwtiivbvwhIOHnUgrr3WzuayKLXuq6VXgoH9RDvlZqXEf4Q+HeW3t2oTxt9evZ9bgwWQbxQRAKsq2mzht2hCmjupFNBrDatIjSSLpmWm0WjV5rSg/VFPh5u6rX2iURANw1Xr5602vcv8LV2JztP89r8iIHAa1uvl6AQb94W13rKv7//buOz6KOv8f+Gt2tvdkN52QBAi9izSRogLSFAtINcKpv1PPk7Nc+Xp3ljvLeerpqWc7xIJ6iiccoNIsCCfSBKRJryGE1N1kk822+f2RI7DsbtiQ3ewm+3o+HvzhfHZmPhOTee+85/P5vB147Y2vsHrNbr/tP5szHNdN6geDIfiX0TMnSnF8z0mcOnQauT3bI6tTOiyZ0RkB5/V6m9VOsafRa5hAi1OS5AZ8ZQAkQNA1awRYk/lKAcfbIZul2kUQFEHWX6MWIcgE6Axq1DiCv7QxJ+vDSqI5nW5s3HAQT/xpCXzecwPOe/XOxsOPTIbVGnwKb4XNgeKSKuzdX4TkJB06d0iD1aKDIhovTgRAJgjwhhgQLwp8yI53ClGEJQ5HoFW5HfBIXujkWihlifsV94zDAY/PC6Uowqpt2f9PyzfsDtn24dfbMGFQt2aNSqPmsWpC/z6YlCoICO/+e7ioDHe8+AnKz6ugaNap8ea8KeiUaQ26j6OmDuWVDvz40yn4JB96d22HZLMOBl10RsDJGoklMkGAwFgT98xxOKOmptaFWqcbapW8TS3t1FQ2Ry1qXR7IZAKS9RrIW3B9xfISOypKglf+PPJTEWwVDibS4oXRpEHHjqk4dOhMQJvJpIE1Jby1hbZtPxaQRAOA+Qu+Rf/+uejWNTD5cWTncfz6msdQWWJv2JbZMR1Prfg9Mjs2b9hiMOJF/ggu1k4UDItXAJK3CJLjHaD2I0CqAZTDAMNDgLxj2FMzm8cHSLbQzd4SSJIPgsA3frGQZNFj8ozBePP5lUHbr72hf1jHKS2twhOPLwkoHb7zxxP4z6dbUDB3OORy//t4aVkVHntuOXbsPtmwTaWU4+nf34jePdpBIY/sfd8o12BUWjesOR38gXtkWreIno/avgpXFXbbDuLfJ79ElbsG/ZO6YXK7kUhTWyC2knua2+eGzW2D01sLpUwFo8IItdi02QpltTX46thhvLh5A05W2dDBnISHBl2JIVnZMKtb5gVbaZCiR2fZHU5WTYyxm/N74p+7twRtu617f6Q0kmg7q8zuwEP/XO6XRAOASocT97+xFG/9aiqsJv+HWHtVLRav2oE3/7Ue5/8KzJo8EDOuGwCTMbIJE41CgRm9e+Pbo0eDtk/t1QvJGr50pvDV1LpwvLAc7yzagMPHSpGdYUbB1KHIa2+FPkrJ4EiTJAlnqqthc9ZBlMmQpFEjWdu0vz2ny42Dp8vw1yVrsf3oKRg0Kkwf1hdThvZGqqllXpI4a1yNtrvr3C3Sj8R6kr1ESWYdfv+76zDvgfdhs9U2bFep5PjTYzfBarl4Is1mq8FHH28M2b54yRbkPzjB7wGntLAcD098qiGJltsjG6PvugIGqw7rP/sO1866Bsbk5i0QfiFRFKHT6UKukcZEGjVVWyhe0dxEoOQthlRxO+A5r9qdax2ksu8hWD4FFF2i0OsLCHpAORio+zJ4s3oCk2gxJJPJMHJcb2xcuw8/bj3q11bwi6uRlmkO6zgbNxwMSKKdtXTJD7hu8mVIST03EtLl9uCDxZsakmgmgwajr+qOrKwk7NhXiHaZSUhLiezISZ1ChV92HY0tZUdQ6fZ/EJuWMwhp6viYGkStg81djfmHF+PrM+eSA58VrcOXxRvxfL8HkKPLiGHvwmN32/DlmTVYXbwSLp8LMshwedJA3Jw9FUnK8GYg1LhdeGvHVrzyw7nvmocrK3DXyqX44xWjMKtn3xapyHhVv074YnPw6YODu+VAH+YsDoqOLL0RD18+Ek9s/sZv++WpWbipU8+w1gwrr6rB4dPlQdtOlNhQXlUbkEg7erIMb3y4HgAgl8tw5cB89O6VBbfbh5PFtogn0gCgT3o6hmRnY8OJE37bOyYnY2KXLo2OWCM6n9frw5Ydx/D7vyxpSASfOl2JjduO4je/GIsxI7pDGedF3WpcLmw8cRJ/XL0GRVXVAIAeqan4y/ix6Gy1hv33sK+wBAUvfdzwUsReU4fXV23E5gMn8OyciS2yXqo13QSZTAj6fVetVcLUQkuZxPf/8TiSk2PFa6/cht17CrF7TyHy8lJwWf9cpFgNYa314PH4UNnIW7rycgfcbq9fIq2sqAIlJ0ohk8kw74O50PRx4UfhKxz0VKJdv86oUvSB1qeCXBa5LyVyuRxZWVkhEx+JNoqImsfj8QT8LgH16+0VFha2iuIVEUkEuvf4J9HONUCqeh4wPwdBFvqmL3mLAW8JIDkAMR2QWRr9fDCCTA/o50Gq+xbAeW9qxPYQDA8CgglS7XJAngvI0iGIwadmUPRYUgz43TNTUHi8HN99uRc6gwrDrukBa6oBuhBT/y9Ucib4UHcAcDjqAr50VFTWYPmq+nVkrh7ZDVeO6oIPN+7Av78/gAyzAVmFFgzSKmDWRfbNfXudBe8P+zm+KPwR35z5CWaFFrM7DEVnQzpMyvibykHxq6Suwi+JdpbT58I/Dy3Gb7vPgU4evyNP3D431hSvxuenzy2K7oMPGyu+h81jw//rcDcMiou/NC2tqcHr2zcHbXtu03qM6dAJ7Qyh16KprK1FqaMGpdU1SNKoYdFrYb2E9aN65qUjO9WME2cqG7apFCJ+fuMgDOqXhe8r9yBZaUCm1oIUlQkyvsBpUUalGtO69Maodh3wxdH9qHQ5MTYnH3nGZKSGOQ24zt34Mi9Ot3/laWedGx8srf8bbZ+ZjF/edRWW/bQPL+3cApVCjutULiSl6JBpjuxLlFS9Hs+PG4etp07hve3b4fH5cFOPHhiem4sMQ2QHIlDbVlZRjWdeWYlgA2pffPMrDOidc0lrfbWkA2VluPPTJTj/EnafOYNpH3yEZbfNRrbp4v2vrK7FU4u/CTqy+Icjp3Cy1NZoIs3pdKGivAYlZ+xQKkUkWw2wWPRNXv/ObNFj4qyhWPruf/22j7qxPybdPhw7i0ognC5Ffjsrkg1aaMOoAnop4vsJNs6kpZmQlmbCVaO6N3lfvV6F/v1ysXJV8IUvBw/uBLXaf3pXdWX9g/uspyajos8urK8798uyz7MZB49uwx0d/oxsXecm96cxSqUS2dnZCT8Vj5qvtReviFQiUHKuCN3oWg9I1QACE2OSJAGenyBV/BzwnS0DLgOMfwaUlwE+GyBoAFkyBDHl4hckz4NgWQTJ/gTg3gyIHSGYHodUeT/gKz7vc72BpL9DELnge0tLshiQZDGgZ7+cS9p/wMA8fBJi9HN+5/SAOOPxeOGsc6NLp3T0GZyL+z5Y3vBFsay6Bg+8/znuGTMYBcMvg1YV2S8iWdokzOl0JabmDoRCEKGRc6QKNd3mstBrcm2r3IdqT21cJ9Js7kqsLg4+pfunqr2we2xhJdJOO6rh8fmCtjncblQ4nSETaaftVfjdslX475HjDdtu7N0N/2/EQFR56gAJsGq0SNXoIZc1PqotLcmAV++7CW99sRHLv98Ln0/Ci/dPxEcVq7Fg66KGzxnlWjzT7w7kG7JazfTbtsKoVMOoVCM/6dJemJn1GshFGTzewN838X/rJZ3P5fagtKIaCrmIX951FeYt/wKVtc6G9lf+uxFrDx/BP265HmnGyI4kSdXrMa5zZ1yZkwOfJMGojo/ibtS6VNprYauqDdrmrHOjtLw6rhNpdqcTz6/7L4LNV6h2ubB6/0HMvfyyix6nus6FPSeKQ7Z/t+8o+uYFf3aw22qwfMkPeG/BOng89feO3A4p+N2jkyEJgNPlgdmoRbJZC81FRi5r9WpMv+sqZLa34KPXvkJFaTVm/3ocnJlaFDz3Mbz/e2ksygTcP3UEJgzuBoM28n/78fsE28aoVApMv2Uwvvp6D9wXvMkxm7UYNrRzwKKXqdlWKJRy9J6Yj4/rFuFCXsmDpafewG15f4BOHtk/XrlcHtcJDmodWnvxioglAmWWRtoMQKjFfX1FkMpv9VvbTDA+Dsm9DZL9DwD+9/MT84CkVyDIOzXaDUFQAorugPkfAKoByQupfJZ/Eg0APD9Csv8ZMD3T5JFvFFu5eSnIybXi2NFSv+2CANx97zUwmf1He6lVCmSlmzH5un54ds13Qd+2vrZmIyb27xbxRBoAiIIMRkX8Jjko/smF0IkdIeyl02On1lsLtxR6PZeSuhJkadpd9Djqi8QiZYgpe1XOOvx51Vq/JNr4np3Rp3M6Jq98B3ZXfcLDoFDhmSETMDwjD1pF4/eCTIsRD04dhdvHD4YgSvhX0ZfYWuE/KtvuqcGD217HPwfej3RNdApoUXRYjFrcevVleGtV4AjIaSP7IvmCBeJ1GiUG9MpBVroZS3/6yS+JdtauojPYVVQc8UTaWXpV61jDiuLTxWY9CnFeibjG7cbu4sC13s/6/sQJzOrXB8qLxBFRJkApF+HyBH9+MzVSxXvnjhNY8Oa5is4ZmWbcce81eOSvy3D8ZHnD8a8b1xe3ThuCZHPjI2TNVgMmzR6KYdf2gtfrwwl7Ne58/hO/z3h9Ev76r2/QIzcdvTpEfpmHVvkKKDc3F8L/qq2c/++ee+6JddcalZlpxit/vxU9e2QBAGQyAVcMzcff/zYL6emBiTBzqhE33Dcep3Eo5DFP1R6G0xt6yihRLLX24hWRSgQKmutDN2pmArLgb4UlbwmgGgHI/vd2R3klJO8JoHYRGpJoAOA9Aqn8VkjeoqDHCeiPaIIgZgG+csB3OviH6r78X4VRak2sVgOeeuYWXDu+T0PF6bwOKfjr32aiU356wOctyXrcPWckNHolSuzBk8Zen4SjJRXR7DbRJbvc0iNk2xBLLxjk8T1VWClrvFKiMcwXpSlaHVI0wa+1ozkZySHaalwumNQy9Mmqvz9oFQpM6tsFD2/5oiGJBgBV7jrc/e2nOFoV3r1ArZQjPdkASenFZ0XBR8lWe5w4XB1e3KL4oVEqMPOq/vj1lJENSbMkvQb33zgcc0YPDJhGJYoiJl7dE/36tsfaw8dCHvff23fDE+cvWCkxmY1aWEOsu6XXqWBNiu+XzkpRRIYx9Mjm3CQzFGE8kyXrtbju8uAz8wQBGNYtN2hblb0W+/YXYdAV+Q3fTef8fBSeemlFQxINqP++ufizbfh81c6wnrFkMhksaSbok3V4Z1XwIioA8O7KLXBGoQBBqxxytHnzZr8f7q5duzB69GhMmTIlhr26OLlcRKdOafjz4zfD4aiDIAAGoyZk6VxDkh5THrgOO2vXAyGK7Qmt4n0rJarWXrwiYolAMQPQPwRU/9V/u7w3BO1UCBeMqJC8ZfVrqtX+C5DcEPR3ARABQQ3J/ljwc/hK6/cRm/DGxVfaSKMESMGHsVN8S00z4d55YzC7YBi8Xh80WiWSkkK/2evbK/uiibKLvaUkihWL0oyb2l2Nf5/0L6RiUuhRkDcJGnl8T+Uyyo3oY+6L7ZXbAtosSiuSlUlhHSdNp8fr4yZj5tJFqPWce2AwqlR4ecxEpFyw/pXX54DbcxIuzwe4fdBxeH0DUOcbhc/3VmHxsZ1BpwBJAF7f8z2eHjweGnl41abdPg9cPk/I9tNOJulbo2SDFrcM74ur+nSCy+OFUi7CatKFLFaQkWJCb8EH5fbQ35s0CnnA7ByieGBN1uMPv5qABx5b1DAtEagfFPN/vxwHSyPfseJBslaLewYPwi+WLg9okwkCpvbqFdbfnkohxx2jB2LroUIcOeNfcOTxaWOQcsH6aJIkodBmx5q9B7FZZ0PKkCT8bsYU/PD1AdS6PSivCP4C98NPN2H0qO5hF7uqc3twujz0GsGnyuyoc3ugVoUXt8LVKr8Zp6T4rwX09NNPo2PHjhgxYkTQz9fV1aGurq7hv+12e1T6Ve6sgd3thEwQYFJqYFIG//JmNGpgNIY3lcWcakI3Zz+stAmQgnyt6aTvC42cC2ZSfGrtxSsilQgUZEZAewugGgHJ+Tkg2SGoRgPyTgFrm0neUkhVjwPnrasm1a0GFH0gGP7gN83zQpLnAATV8DCvDoCY3UinNYDAe0u4WirO1DhdqKiqhcfrhU6thNUc/C2oSqVAWpCRzsEYdGpk+ozomGbBoeLAUYgahRzZyfG79gclNoNCi5uzr8EgS08sOfkNbO4qDLb0whUpfZGmbmRafZzQyDWYkT0LNrcNRxyHG7YnKy2Yl38/zGEm0mSCgN6p6Vg5rQDrjh/F3rIS9E3LwODMbGQZ/B9GvD4n7LWrcbzsl0DDd8s1EGVm3NxvKe75bn/I8xyoLEWtxx12Ik0tKpCsNKDcFfwhJ9+QFdZxqF5LxBqv14uSSgfq3B6oFHJYTDoo5IHfd2QyAWlJ4X1PEEUZclKSMLV/T7z4zYagn5l+We+wqoYStTRBENCzSybefuE2LFmxHfsOFSMv24KbJvRHRprZr1hgvBqY3Q53DByAf27a0nDXV8vleHb8OGSZwi/0kZFkxBt334T9hSX4ds9hpBj1GN0nH6kmfcBo1EOl5Zj51kewOc/dsxbt2IVnJ12LMz8Fr/wLANWOOrhcoV/AXEinVqJPx0wcOhV8Jk2/TplRKTgQ30+xYXC5XFi4cCHuv//+kJnUp556Co89FmIURyT64PXip8pi/H7rF9hdUT9NanBqDh7tPxadjNZmv10xKJIwIfNnWH7qn37bdaIJEzLnQiPGdxacEltrLl4RyUSgIDMCMiMExbniIJK3EpLnBAAZIDNDkOkAz16/JFoD9w4AbkAwA1Jl8HPIm1h4REwFFIMAd5BpN9rbgXAKGBCA6McZACgqteGlf6/Dl1sPwOuTkJViwoPTRqFf5yzoNc1b/8Vi0OGpaWNR8Ooi1LrOjWaRCQKenH4trEbGGYpfRoUOPUwd0UnfHh7JC42obFXVIJNVFtzbaR4q3RU44zyDJGUSkpUWJIWZRDtLLpOhvdGMmT37Nmyr9bhxqtoOjyRBr1DCotHC4zuDE2X3Axe8oPX6KiHzLUW+KRd7K4Kvp5NvtoadRAMAi8qIuR3G4tmfPgloy9OlI1MT/8nOeBLtWFNud2Dpul1494stqKqpg06txPQx/XHzqD6wmJoXB0SZDDf27YEvdu/H/hL/B97Jvbsjz8q18ih+KZVy5LSz4J7bRsJZ54FKKW+YptganB2VdkvvXthfUgq1QoEOyUlI1emaPOsgzaRHmkmPK7vnAQB8koQzVdUoq6mBUi4i1aCHrdaJPyxd7ZdEA+qjzjNfr8OTw64KeXy9TgWVMvw+KRVyzLimP5Zt2AP3Beu3qRQipo7qG/RlQHMJkhRsaeHW4+OPP8aMGTNw/PhxZGYGrxIR7O1NdnY2bDYbjMbml1o+aCvBpFXz4fL5/48zKtRYOuZnyNabm32OWq8DFa4z2Fi6AnZPKTobLkNX4wAkKVObfWwiapzH44loIlCS3IDnACT744D7BwAioLoaguFBSI7Xgdp/B99RPQWQZwHVLwS2yVIgWD6B0JSpnQAk72lIVc8Bzs8AeABBB+huh6CZBkEM/wHHbrfDZDJF7L7a2kQ7zpRUVuPOZz7GiTOVAW2v3H8TBnW/tCqf5/P6fDhVYceK7fux9Ugh8lKScNOgXshKMkIT4eHwRBR9hVV2vLDlO/zn4F64fF50t6Tg0SuuRkdjMU6WTQ66j0zQQNJ8ickrFgbMgxAALB8/F92T05rUD5vbga9Ob8dbh1egylMLGQQMsXbHvZ2vb1KhgUSPM0B0Y42zzo3XFn+H91dtDWibPKIX5k0dDl0zX9oA9VVit58swuIde6BVKDDj8j7oYE2GRRff6xkSUaAyRw2W7/oJr63fhPKaWlh0Wtw1bCBGdMrDmJcWhNzv09nT8IfHlqC0vDqg7c5br8S0GwdCFMN/IebyePHTsWI89s5qHD1dP9qtQ4YFj9w2Bl2zU5o0ajDcWNPqE2ljx46FUqnEsmXLwt6nuYHY6a1BtacSh6t3weNzI0nREasLT+LvuzYGfOl4qPco3Nl1CGQRmvPvlbzwSV4oZJEfnkhELUPyHIRUOhmAy79BlgLB9CykioLgO4rZEJIWQHLM/1/Bgf8NexY7QjD/DYKi66X1x1dTX1hAcgKCFhBTIQhNS5zwAcdfc38eHq8PpaVV2H+wGEWnK5GXl4Liqmq8uHg9Kqv9167rmGXFqw/cjGRjZB5CJEmCy+OFXJRxmg1RjFW6bKjx1o+I1sn1MCnCu5+cdlRhxrKPcdjmvwaZAOCT62+E2nsLPN7gxWayU/6Lb4tteGzTl6h01d9vzEoN/jRwNK7IyEOSqun3Gq/Pi1KXHTWeOihlcpiVeuiauH4d40yg5v5MSuwOHC+twK4TxUg16qCVKbBg2SbsPuxfBEImCPjkyduQnda0UZKNqfN4IAoC5HG+Xi5RW1dVW4cKRy3qPB4Y1CqkGEOvd3i+GpcbL63dgLe+D0y+3z5kAEqqHFj6496g+/59ygTkqk148rnPceR4/ZrNoijDxGt7Y8ZNg5Ae5vpoFyqzO2B3OAEIMOnUl/TdONz7avzPrWrEsWPHsGbNGnz66actds5aTzW2lK/BitPv+m3vYRyBP18+Cg9v/tpv+7rThzG70wDoLlIqPFyiIEJspNQ7EbWcSxmpJvlqIFW9ioAkGgD4SgDPfkDeE/DsCmxXjYdU8zGAOgjmlwC4AcgB70lItv8Dkv4BQQyszHgxgkwLyPgmOF54vT7s21+EBx9ehNrac78n7bOT8ee7r8Wv31yOmvOqDx0qLIXTFblqRIIgQKVo1V8PiFo9t8+Do46jmH9kAYqc9QmvLE0mfpY3Bzna9pDLGv8b3VtaEpBEA+qn1Tzx/Qb85Yrb4Kl9OqBdKc+Bw1uLz4rX4cmhoyAX6r+/eiU3Fhd+i+5WyyUl0kSZiDR15JIw1HynKuz4xfwlOHD63DRLjVKBJ6eOxXvLNmPPkXOJVp8koaKqNqKJNFUrWOKDqK0rLLfhz4u/wvp9RyFJgEmrxrxxwzCmdyeYtI2v6V7qcODdTYGFcgDgnY0/4NVbrg+ZSMu1JGPei4sx6/r+yLaY4HH7IFeK+GrXIXy96xCmjex7SctjWYw6WFpoOZJWfQdbsGABUlNTMWHChBY7Z5mrKCCJBgC77WsxOrUHcvVJOFp97otLusYAJd+0ELU5Lpcr5NppSmUjiXOpCnAHX2gXAKS6dYDyisBEmswCQXsjpNJxAHyQaoO8QPAWA5eQSKP4UlpWhd/88RO/JBoAHD9RjsWfbsX1V/TAh19tb9iu16g4coyojSmpK8FTPz0Dr3Ru2ZDC2lN4au9f8OeejyNd0/j0yq+PHw7Z9kNxERSK8UBAIk2GzKQn8fje77DLdhy7bMcD9l12cgvu6zqxSddC8cfhdOH55d/6JdEAoNblxu8XrcITN43Bb1/2n+3DKf5EbcsZWzXuePNTHC+tbNhmq3HisX+vgUYpx8T+3Rrdv9xRC4/PF7TN7fNBrZBDJgjwXTABcublfVBYXIHTFdV4dvG3Afum/aTH6P75sJqCF9SKF632m7fP58OCBQtQUFDQYouWO2pq8F1JYNnYs/ZUrcJNeV38thXkXw6FjIk0orbE4/EEJNEAwOFwoLCwEB5PY5Vm5IDMHLpZlgLoCgDdvYAsHZBZAW0BhOSPAckLIHjAAgD4Qlf0pNbB4/Xh6PEyVFfXBW3fvPUIBuT7V1uddnVfWE0cUUjUVrh9bqwoWumXRGtokzz48sxX8Pgar2iWrg/9AGJUqqCUp6O95RWoFV0hypKgV49Cftoy+GQ9sKPyaMh9i5wV8IZ4cKLWo6zajjU7DwZtc9S5YHfVIclwbjRK+zQzkgyMM0RtydGSCr8k2vle+Hw9ztgC1y87n/oisxcMKhUW3T4dwzvlwqxRo3OqFc/dNA73jBiMr384FHK/MnsNvL74X32s1Y5IW7NmDY4fP465c+e2yPm8Xi8OHStGlTJwmPxZDo8Nmcr6RTgFAP/X9xrkGFiBhqit8Xq9AUm0sxwOB7xeb8gEvyBaAO0dkOy/Cd6unQlBtELS3w1obwEgAbIkCIISkqcQEDSAVBt0X8izLuVyKI4UldtxtDB4+W4A8Pkk+LznHmIHdc/BTSP7QOTIZ6I2o9brxEFH6BFl+6sPwOlzQi8LnSwbm9cZf920PmDtXgCY06s/UjUmyMXroFcPhSS5IQo6iKIRPrcTvUw5+L5sf9DjDrV24QjYVs7pOQOb81SjD6rl1TXQaVSoqKqFxaTDs/deD6uZ1ZuJ2pKdx4OvkwkAp23VcLobXzYkWadBTrIZx8orA9o6WJJg1Wth1evw3E3jUeNyQS6KDUVFhvbIxfKNwad99srLgEYZ/yNgW20ibcyYMWjJOgllZdX4cOEmXPmz7jiMIGsXAcjVdUeWKg1/GTgRA6zZsKp10CuaX92GiOKL1xs4SqAp7VBdCajHA87P/bfrHwTk7QEAgiAC4gVVecUUQHcnUP1ikGOOAYTwq2xS/Kmpc+HVz7/Dtd07h/yMyahBZqoZv55xFXp1zEB6kgFJESoyQETxQSFTIFmZhMLawqDtVqUViosUhMnQ6fH8VePxwNdf+E2rGZTRDjO69WlY4F0hWv320yvU+Hn+WGwqOwDfBWm4JKUeAy35l3JJFEdsrr2QiS5YDFqUVdUE/cxlHdvBKCrRPtWM3AwL0pINLdxLIoq2dhZTyDatSgHFRV7Spur1eGXKJMx+dxEqap0N25O1Gvz95omw6uuT7wa1Cga1f06kb8dMpJr1OFPpP+pNEID7brgSRl3TitHEQqtNpLU0u92JjZuO4JbbroNW/AI13iq/dlGQY0TqjUhVZ4c4QvM4nW6IogAFF4AmirmLjf65WLsgWgHjHwHdnfVroglqCKor66t2ykJ/WRUEJaCZBgg6SNX/AKTK+hFqmmkQdD+DIJov4WooXlTV1mHtriPolGpFv77tsW174PpEt982HJ1yUtClQ+PrI10Kl8cDr09qFW8BidoyjajGpIwJ2GkL/uJ2XMZYqMTGX9RqFUqMzc1H/1sysK7wGCqdtRialYP2BhOs2sZHFuXoUvHygDvw171LcMRxBgIEDLTk4/6uk5CuYcGA1q6o+nM4fKfwi2vvwmOLNga0D+zUDu1TzOiblxnxc3u8Xri8PqjkIkc2EsVYz+w0aJQK1AYpWDVtSB9Yw1i0Pz/Vik/vmIk9p89gX3EpuqRZ0T09FZmmxqtupicb8eb9U/Dsom+wftcRSBKQk5aE394yCvlZrWNgALMyYRLl9Tf7F55ejwf++Gtsdn+CwzU/QoKELHU+xqf/DMnKjIift6TEjh+2HcOXX+2GWq3EDZMvQ16uFWazDuVFFTix7xS+X74FhmQDht0wEJasZOg4OoEoqkRRhE6nCzq9U6fThTXNTpAlA7JkCIruTTq3IFogaWdDUI/93xRPFSCm1CfZqFWTCQK0SgVeW/U9np55LbIyk7Dmyz1w1rmRYtVj5vQhGHFFZ4hiZB8+yqtrcOh0GT7473Y4nC6M798Vg/PbI91sgK3OidPV1VhxaD8cLjfGdOyEXFMSrFrGGaJoaqfNwi3ZN2PRiU/h+9/amKIgYnr2LchQh/d9U6tQIMeUhBxT05JfalGBfskd8PKAO1DtcUIUZDAqtDAoGq/gRq2DQmaCzfUZOrbfhj9NG4KXv9iJYls11Ao5Jl+ej59dNQjJ+sje42vdbhRW2vHh1h9xsLQMvbPScVPvHsgyGyEIEoqddmwsPYij1WfQJzkXPUztkK4xR7QPROQvzWTAm3fciLvfWgJ77bm1eUd0y8PsK/tfdETaWZkmIzJNRlzTpVOTzp+dYsYTc8ahsrq+aIFerYLV1HqmkAtSS86PjBN2ux0mkwk2mw1GY+PZ0rMqKhx44KEPcfRYKYwGNSZM7oE+A9IgwYeTRxwYMag3rNbIDns+c8aOB379IQoL/ddlu3ZsLxRMHYQ/3/I8ftp4wK/tnhfnYnTBCCbTiKLskqt2tlGXcl9tyy7l5+H1+fDWqs145bPvIJfJMKpXB4zulQ9REGB31qFPfhY6ZET2LV1FdQ1e+Hw9Pt202297O4sJ/7zrJizatxsvbvavMntluxw8O/papOriu5oSUWvn9Dphd9txovYkBAhop2kHo8II9UVGo7VVjDOBLuVnYqvbg/+emgoAMCl7wiSbDclngShzQ6+tQTvjNZAJkVt30+31Yt2ho7h70TK/acZKUcRHc6bCpazFvZsXoO68AhoWpR6vD7oDOfqUiPWDiAJ5fT6csVXjeFklKqpr0THdghSDDmZd4r44Cfe+yhFpYUpK0uHh/7sO8+5/H/YqJz58bys+fA9QKET85ampSEqKbPbU4/FiydIfApJoAFBR5sBnb6wOSKIBwCv3vYW+V/WErgcTaUTRpFQqkZ2dDa/XC6/XC1EUIYpii1URprZHlMlw/eAe+GbnIew+XozVOw5i9Y76qmpzR1+Oq4yh1067VCfKbAFJNKB+lNqRyoqAJBoArDt5DCsOHcDsXn0hCELE+0RE9dSiGmpRjVR16sU/TBQmjTwLHU134pDtDdhcu2BDffEjo7I78nQvRTSJBgAl1Q48+J8Vfkk0AHB5vThda8cTO//ll0QDgDJXNR798RP8bUABzEo+0xBFiyiTISPJiIwkvpxoKj7xNUFebgrefG0ONm85gp27TqBDh1RcOawLUlOMEZ9qU1lZgy9W7AjaNnxwB7w595WQ+37z0X9x2+PTItofIgokl8uZOKOISjXr8cKd1+HAqVJ8seUnGLVqTBzYHZnJBpiisPDqks2BSTQAGNI5B4sPBK+mBAALdvyAcZ06I+Uiay0REVF8UYomdDAVIF03GoXVy+D2ViJDPx5GZWeo5ZFP2hZXVaO6zhWwXaOQwyXUocrjDLIXsMt2ApUuBxNpRBSX+ATYBDKZgPR0MyZN7IdJE/tF9VySJMHj8QVtU6kUcNiCV9kBgPLTlVHqFRERRVuKSY8Ukx5Du+VG/VxOtyfodq1KjpK6uqBtAGCrq4PXFzxGERFRfFOIJphEE0yqblE/l8cb4nlGLofDGzrOAIDbFzxGERHFGsulxCmjUYPhV3YJ2nbgSAn6jOoRct9hNwyKVreIiKgNue6y4MUu9p4swfB2uSH3G94+B0ZV/JcmJyKi2MowGaAMsmi5rdaJDHXoQhgmhQZGFrggojjFRFqcUqkUmDF9CIyGwAeVY4UVuP3pWRDlgUEpt0c2OvTOaYkuEhFRK9cp3YIBHdsFbD9jq8aVOTloZwhcM0MlyvGLAYOhVShaootERNSKWXRa/PrqKwO2SwB0MjUmtxsQdL97u4yDVRXZQm5ERJHCqp1xXPVHkiQUna7EkiVbsW79fqjVCtww+TIMHZoPo16Fo7tO4PUH38WPa/dArVVh3M+uwpQHr0NKtjXWXSeiBNNa7qstpTX9PM7YqvHNnsP4YP121LhcuKpHR8wc1g/tLCYUVtnxypaN+HTfHri9Xgxvn4vfDR2OjknJkIdZFp2IKBJa0321pbSWn4mt1om9xWfw0rff40SlDV1SrLh3+BB0tCajDi6sKvoRbx/6BmWuauToUvCLzmPR35LHEWlE1OLCva8ykRbHQecst9sDu90JmUwIqA5aVVGN2ionBJkAc4oRChVHCBBRy2tt99Voa40/j7LqGvh8Ppi0GijPG/Hs9HhQXlu/LqdeqeSUTiKKidZ4X4221vYzsdc64fR4oFUqoFepGrb7JB9K66rglXxQyuSwcCQaEcVIuPdVFhtoBRQKOSwWfdA2Q5IehqTgbUREROGy6INXRlPL5cgMMsWTiIioKYwaNYJFE5kgQ6ra1OL9ISK6VFwjjYiIiKLCJ0moqqtDnYeV14iIKDpq3C443K5Yd4OIEghHpCUoj8cDr9cLr9cLURQhiiLkcv46EBFR80mShJM2O5bv3YdvDh1Bil6HOQP6o6MlCWYN17whIqLmK66pwtbSQnxwYBt8koTpnfpiYGo20rScGkpE0cXMSQJyuVwoLCyEw+Fo2KbT6ZCVlQWlUhnDnhERUVtwuLwCUxf+CzZnXcO2FfsO4JdXDMZtA/rBqOY6a0REdOmKa6rwi/VLsKXkZMO2DcXH0MeSgdeG34R0JtOIKIo4tTPBeDyegCQaADgcDhQWFsLD6TdERNQMdmcdnvhyrV8S7ay///d7lDhqYtArIiJqSzaeOeGXRDtrR1kRvj11OAY9IqJEwhFpCcbr9QYk0c5yOBzwer3NnuLJaaNERInL5nRi3ZGjIdu/O3ocHS3JzTpHca0NP9kLsb3iKLK1Fgyy5iNVbYJCJl58ZyIiatWqXE4s3L81ZPvCAz9gdHZnJKkufSmBspoanLTbsOrgQajkcozp1AkZegNMHFFNRGAiLeF4vd5mtV8Mp40SESU2SZIgNdLu9vmadfyTNWX4+aZ/4ozT1rBNIYh4ccBt6JuUCzmTaUREbZpPAjxS6EjjkXyQGmm/mBKHA3/4ag1WHTrUsO2F7zfg5wMuxx2XDUAS1/okSnic2plgRLHxB4yLtTeG00aJiMioVuGyrMyQ7Vfktr/kY9vdtXhy12K/JBoAuCUvHvzhPZTU2S/52ERE1DqYVGpM7dg7ZPuUDr2bNRpt3bGjfkm0s17bshlHKiou+bhE1HYwkZZgRFGETqcL2qbT6ZqVSAtn2igREbVtZo0Gj44eBXWQKf3T+vRCmj54DAqHzeXAlvLga9/UeF045ii95GMTEVHrMSKjAzoZLQHbcw1JGJvdBYIgXNJxy2pq8M8fQk8bfWf7Nrj5TEOU8Di1M8HI5XJkZWWFnH7ZnLXMoj1tlIiIWod8qwXL5szCW5u34rtjJ5Cs0eDOwQPQPzMT5mZMiXH5Go8jVe7aSz42ERG1Hhk6I969ehq+OPYTPjq0Az5Jws0de+O6nO7I0Bkv+bhenw82pzNke3ltLTw+HxTNGHxARK0fE2kJSKlUIjs7O+IFAaI5bZSIiFoPuSgiLzkJD189ElV1dVCKYkQWaDYo1EhW6lHuqg7a3tGQ3uxzEBFR65ChNWJO18txXV4PQAKS1VrILnEk2llGtRrDc3Px0a5dQduvzc+HRqFo1jmIqPXj1M4EJZfLoVKpoNVqoVKpIlJVM5rTRomIqPVRy+VI0ekiVuXMqjJgXtfxQdvGpPeGRamPyHmIiKh1EAQBVrUOVo2u2Uk0oD5u3XnZ5dAGSZal6fQYmZvX7HMQUevHRBpFzNlpoxcm0yIxbZSIiEgmyHBFShc83/9W5OpSAABmhQ6/6DwWv+o2ASalNsY9JCKi1i7bZMKn06ZjZG4eBAAKmQw3dO2Gj6begizjpU8bJaK2g5kNiqhoTRslIiICAINCg2GpXdHN1A4unxuiIINFZYAo8N0gERE1n1wmQ2eLFS+OGw97XR0EAUhSazilk4gaMLtBESeXy5k4IyKiqLKoOI2TiIiix6BSwaBSxbobRBSH+PqWiIiIiIiIiIgoDEykERERERERERERhYGJNCIiIiIiIiIiojAwkUZERERERERERBQGJtKIiIiIiIiIiIjCwEQaERERERERERFRGJhIIyIiIiIiIiIiCgMTaURERERERERERGFgIo2IiIiIiIiIiCgMTKQRERERERERERGFgYk0IiIiIiIiIiKiMMhj3YFYkCQJAGC322PcEyKituHs/fTs/TXRMc4QEUUW40wgxhoiosgKN9YkZCKtqqoKAJCdnR3jnhARtS1VVVUwmUyx7kbMMc4QEUUH48w5jDVERNFxsVgjSAn4Wsfn8+HUqVMwGAwQBCHW3Ykqu92O7OxsnDhxAkajMdbdiSpea9vEa20dJElCVVUVMjMzIZNx1QDGmbaJ19o2JdK1Aq33ehlnAiVKrGmtv7OXIpGuFUis6+W1tg7hxpqEHJEmk8nQrl27WHejRRmNxlb3S3ypeK1tE681/nGEwDmMM20br7VtSqRrBVrn9TLO+Eu0WNMaf2cvVSJdK5BY18trjX/hxBq+ziEiIiIiIiIiIgoDE2lERERERERERERhYCKtjVOpVHjkkUegUqli3ZWo47W2TbxWoviWSL+3vNa2KZGuFUi866XWL5F+ZxPpWoHEul5ea9uSkMUGiIiIiIiIiIiImooj0oiIiIiIiIiIiMLARBoREREREREREVEYmEgjIiIiIiIiIiIKAxNpREREREREREREYWAirY0qLCzErFmzYLFYoNVq0bdvX2zdujXW3Yq43NxcCIIQ8O+ee+6JddeiwuPx4Pe//z3y8vKg0WjQoUMHPP744/D5fLHuWlRUVVVh3rx5yMnJgUajwdChQ7F58+ZYd6vZvv32W0yaNAmZmZkQBAFLlizxa5ckCY8++igyMzOh0WgwcuRI7N69OzadJQohUeIMkFixhnGGcYYoniRKrGGcYZxpjRI51jCR1gZVVFTgiiuugEKhwBdffIE9e/bgueeeg9lsjnXXIm7z5s0oKipq+Ld69WoAwJQpU2Lcs+j4y1/+gtdeew0vv/wy9u7di2eeeQZ//etf8dJLL8W6a1Fx++23Y/Xq1Xjvvfewc+dOjBkzBtdccw0KCwtj3bVmcTgc6NOnD15++eWg7c888wyef/55vPzyy9i8eTPS09MxevRoVFVVtXBPiYJLpDgDJFasYZxhnCGKF4kUaxhnGGdao4SONRK1Ob/5zW+kYcOGxbobMXHfffdJHTt2lHw+X6y7EhUTJkyQ5s6d67ftxhtvlGbNmhWjHkVPTU2NJIqitHz5cr/tffr0kR5++OEY9SryAEiLFy9u+G+fzyelp6dLTz/9dMM2p9MpmUwm6bXXXotBD4kCJXKckaS2HWsYZxhniOJFIscaxpm2IVHijCQlXqzhiLQ2aOnSpRgwYACmTJmC1NRU9OvXD2+++WasuxV1LpcLCxcuxNy5cyEIQqy7ExXDhg3Dl19+if379wMAduzYgfXr12P8+PEx7lnkeTweeL1eqNVqv+0ajQbr16+PUa+i78iRIzh9+jTGjBnTsE2lUmHEiBH47rvvYtgzonMSNc4AbT/WMM4wzhDFi0SNNYwzbUeixhmg7ccaJtLaoMOHD+PVV19Ffn4+Vq5ciZ///Of45S9/iXfffTfWXYuqJUuWoLKyErfddlusuxI1v/nNbzB9+nR07doVCoUC/fr1w7x58zB9+vRYdy3iDAYDhgwZgj/96U84deoUvF4vFi5ciI0bN6KoqCjW3Yua06dPAwDS0tL8tqelpTW0EcVaosYZoO3HGsYZxhmieJGosYZxpu1I1DgDtP1YI491ByjyfD4fBgwYgCeffBIA0K9fP+zevRuvvvoqbr311hj3Lnrmz5+PcePGITMzM9ZdiZqPPvoICxcuxAcffIAePXpg+/btmDdvHjIzM1FQUBDr7kXce++9h7lz5yIrKwuiKKJ///6YMWMGfvjhh1h3LeoufAMpSVKbfCtJrVOixhmg7ccaxhnGGaJ4kaixhnGmbUnkOAO03VjDEWltUEZGBrp37+63rVu3bjh+/HiMehR9x44dw5o1a3D77bfHuitR9dBDD+G3v/0tpk2bhl69emH27Nn41a9+haeeeirWXYuKjh07Yu3ataiursaJEyewadMmuN1u5OXlxbprUZOeng4AAW9qzpw5E/BGhyhWEjHOAIkRaxhnGGeI4kUixhrGmbYnEeMM0PZjDRNpbdAVV1yBffv2+W3bv38/cnJyYtSj6FuwYAFSU1MxYcKEWHclqmpqaiCT+f/ZiqLYZstFn6XT6ZCRkYGKigqsXLkS119/fay7FDV5eXlIT09vqNYE1K+VsXbtWgwdOjSGPSM6JxHjDJAYsYZxhnGGKF4kYqxhnGm7EinOAG0/1nBqZxv0q1/9CkOHDsWTTz6JqVOnYtOmTXjjjTfwxhtvxLprUeHz+bBgwQIUFBRALm/bv9KTJk3CE088gfbt26NHjx7Ytm0bnn/+ecydOzfWXYuKlStXQpIkdOnSBQcPHsRDDz2ELl26YM6cObHuWrNUV1fj4MGDDf995MgRbN++HcnJyWjfvj3mzZuHJ598Evn5+cjPz8eTTz4JrVaLGTNmxLDXROckWpwBEifWMM4wzhDFi0SLNYwzjDOtTULHmliWDKXoWbZsmdSzZ09JpVJJXbt2ld54441YdylqVq5cKQGQ9u3bF+uuRJ3dbpfuu+8+qX379pJarZY6dOggPfzww1JdXV2suxYVH330kdShQwdJqVRK6enp0j333CNVVlbGulvN9vXXX0sAAv4VFBRIklRfLvqRRx6R0tPTJZVKJQ0fPlzauXNnbDtNdIFEijOSlDixhnGGcYYoniRSrGGcYZxpbRI51giSJEktnbwjIiIiIiIiIiJqbbhGGhERERERERERURiYSCMiIiIiIiIiIgoDE2lERERERERERERhYCKNiIiIiIiIiIgoDEykERERERERERERhYGJNCIiIiIiIiIiojAwkUZERERERERERBQGJtKIiIiIiIiIiIjCwEQa0Xm++eYbCIKA2267rUmfGTlyJARBgCAIWLFiRch9+/fv3/C577//PuTn/vjHP0IQBKhUKpSVlYX83PnnFQQBMpkMSUlJGD58ON5++21IktTo9TZm5cqVGDlyJIxGIwwGA0aOHImVK1de8vGIiIhx5nyMM0REkcc4cw7jDEWLPNYdIGpL5HI53nrrLVx77bUBbTt27MC2bdsgl8vh8XhCHsPn8+Gdd96BIAhwuVxYuHAh7rvvvkbP+8ADD0Cv18Pr9eLw4cP49NNPsW7dOmzduhUvvfRSk6/j/fffx6xZs2C1WlFQUABBEPDxxx/j2muvxcKFCzFz5swmH5OIiJqPcYaIiKKJcYYoDBIRNfj6668lAFJBQUGTPjNixAgJgDRp0iRJqVRKpaWlAfvde++9klwul8aNGycBkDZs2BD0+CtWrJAASHfddZek0+mkXr16hezL2fMWFRX5bf/xxx8ljUYjCYIgHT58uPGLvkB5eblkNpslq9UqHT9+vGH7qVOnpPT0dMlsNkvl5eVNOiYREdVjnGGcISKKJsYZxhmKPk7tJIqgOXPmwOVy4f333/fb7nK58MEHH2DChAlITU1t9Bjz588HANx999244YYbsHPnTmzevLlJ/ejVqxdGjBgBSZKwdevWJu27aNEiVFZW4t5770V2dnbD9oyMDMybNw+VlZVYtGhRk45JRESRwThDRETRxDhDdHFMpBFF0JAhQ9CtWzcsWLDAb/uSJUtQVlaGuXPnNrp/WVkZ/vOf/6Bfv37o2bMnbr31VgDnglFL+OabbwAAY8aMCWgbO3YsAGDt2rUt1h8iIjqHcYaIiKKJcYbo4phII4qwOXPmYPv27di2bVvDtvnz5yMtLQ3jx49vdN/33nsPLpcLs2fPBgBcffXVaNeuHT788EPU1NSE3YedO3di7dq1EAQBAwYMaFL/Dxw4AADIz88PaDu77exniIio5THOEBFRNDHOEDWOiTSiCLv11lsbFukEgBMnTmDNmjUN2xvz1ltvQRRFTJ8+HQAgk8kwc+ZM2O12fPLJJyH3e/bZZ/Hoo4/iD3/4A2bOnImBAweitrYW9957L3Jzc5vUf5vNBgAwmUwBbTqdDqIoNnyGiIhaHuMMERFFE+MMUeOYSCOKsLNvaj744APU1dXh7bffhs/nw5w5cxrdb9OmTdi5cydGjx6N9PT0hu0FBQUA0BDIgnnuuefw2GOP4YknnsBnn32Gyy+/HG+//TZeeOGFiFwTERHFD8YZIiKKJsYZosY1nk4mSjAyWX1u2efzhfzM2baznw1mzpw5WLp0KRYvXoy3334bgwcPRrdu3Ro999nAcnYY9FndunXDgAEDsHbtWhw8eBCdOnUK2LeoqMgvWDXH2Tc3NpsNFovFr83hcMDr9QZ9u0NERBfHOMM4Q0QUTYwzjDMUfRyRRnSeszfUsrKykJ8pLS31+2wwEydORFpaGh588EEcPnz4ooty1tTU4MMPPwQAzJw5E4Ig+P3bsmULgMbf4kRKY+sGNLbeABERXRzjDOMMEVE0Mc4wzlD0cUQa0Xm6dOkCpVKJzZs3w+PxBF0DYMOGDQCA3r17hzyOXC7HrFmz8Nxzz0Gr1eKWW25p9LyffPIJ7HY7+vbti8suuyzoZ95991288847+NOf/gRRFJtwVU0zYsQIfPjhh1i1ahUGDx7s17Zy5cqGzxARUdMxzjDOEBFFE+MM4wy1AImI/MyaNUsCID3yyCMBbT/++KOk1+slg8EgVVRUNGwfMWKEBEAqKipq2Hb69Glp8eLF0rp16/yOUVBQIAGQNmzY0LBt+PDhEgDp66+/DtmvG264QQIgLVu2rNHzNld5eblkMpkkq9UqHT9+vGH7qVOnpPT0dMlsNkvl5eUROx8RUaJhnGGcISKKJsYZxhmKLo5II7rAc889h40bN+Kxxx7D8uXLMWLECKjVauzfvx9Lly6FJEl4//33YTabGz1OWloaJk+efNHzHTx4EN9++y06dOjQ6JuROXPmYPHixZg/fz4mTpzYxKsKX1JSEl5++WXMnj0b/fv3x7Rp0yCTyfDRRx+huLgY7733HpKSkqJ2fiKito5xhnGGiCiaGGcYZyi6mEgjukBqaio2b96Mv/3tb1iyZAlef/11uFwupKen4+abb8aDDz6Ifv36Rex88+fPB1AfWARBCPm5cePGIS0tDcuXL0dxcTHS0tIi1ocLzZo1C1arFU899RTefvttAED//v3xzjvvYOzYsVE7LxFRImCcYZwhIoomxhnGGYouQZIkKdadICIiIiIiIiIiines2klERERERERERBQGJtKIiIiIiIiIiIjCwDXSiNq4yspKvPDCC2F99tFHH41qX4iIqO1hnCEiomhinKF4wzXSiNq4o0ePIi8vL6zP8nZARERNxThDRETRxDhD8YaJNCIiIiIiIiIiojBwjTQiIiIiIiIiIqIwMJFGREREREREREQUBibSiIiIiIiIiIiIwsBEGhERERERERERURiYSCMiIiIiIiIiIgoDE2lERERERERERERhYCKNiIiIiIiIiIgoDEykERERERERERERheH/A+KTQSwOXtj0AAAAAElFTkSuQmCC",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "axes = gloscope_py_cpu.plot_embedding(method=\"UMAP\", metadata_cols=well_represented_cols)\n",
-    "\n",
-    "for ax, col in zip(axes, well_represented_cols):\n",
-    "    ax.legend(loc=(0, 1.02), title=col)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "202d3bce",
-   "metadata": {},
-   "source": [
-    "We can see that embeddings look very similar to what we had before. Qualitative assessment would give the similar results."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "569db336",
-   "metadata": {},
-   "source": [
-    "## 5. Original GloScope Implementation\n",
-    "\n",
-    "This version is [implemented in R](https://www.bioconductor.org/packages/release/bioc/html/GloScope.html) and can be used via patpy. We **do not recommend this approach** for your workflow and only show it here for comparison. \n",
-    "\n",
-    "If you want to run it, you need to install R dependencies. The easiest way to do it is via conda. You can use the following environment:\n",
-    "\n",
-    "```yaml\n",
-    "name: gloscope\n",
-    "channels:\n",
-    "  - conda-forge\n",
-    "  - bioconda\n",
-    "dependencies:\n",
-    "  - r-base=4.3\n",
-    "  - r-data.table\n",
-    "  - r-reticulate\n",
-    "  - r-anndata\n",
-    "  - bioconductor-gloscope\n",
-    "  - anndata2ri\n",
-    "```\n",
-    "\n",
-    "Or install the required dependencies into an existing environment (don't forget to activate it in prior):\n",
-    "```\n",
-    "conda install -c conda-forge -c bioconda r-base=4.3 r-data.table r-reticulate r-anndata bioconductor-gloscope anndata2ri -y\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b23d77ba",
-   "metadata": {},
-   "source": [
-    "Initialise the sample represenation method. You can set `n_workers` to the number of CPUs on your machine to make the computation faster:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "2527e282",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T10:04:33.792512Z",
-     "iopub.status.busy": "2025-10-23T10:04:33.792363Z",
-     "iopub.status.idle": "2025-10-23T10:05:22.313501Z",
-     "shell.execute_reply": "2025-10-23T10:05:22.312963Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "gloscope_r = patpy.tl.GloScope(sample_key=sample_id_col, layer=layer, k=25, n_workers=6)\n",
-    "gloscope_r.prepare_anndata(adata)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "4bee5b89",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T10:05:22.315259Z",
-     "iopub.status.busy": "2025-10-23T10:05:22.315092Z",
-     "iopub.status.idle": "2025-10-23T17:55:27.473748Z",
-     "shell.execute_reply": "2025-10-23T17:55:27.473225Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/tools/vladimir.shitov/patient_representation/src/patpy/tl/sample_representation.py:453: UserWarning: Using data from key X_scVI_batch of adata.obsm\n",
-      "  warnings.warn(f\"Using data from key {self.layer} of adata.obsm\", stacklevel=1)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Calculating GloScope distance matrix\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 32.2 s, sys: 4.59 s, total: 36.8 s\n",
-      "Wall time: 7h 50min 4s\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "array([[0.        , 2.88381577, 4.86649874, ..., 3.25397249, 8.19277845,\n",
-       "        4.66033323],\n",
-       "       [2.88381577, 0.        , 4.48540625, ..., 4.13700121, 7.18381653,\n",
-       "        2.88759288],\n",
-       "       [4.86649874, 4.48540625, 0.        , ..., 5.62388687, 7.15729136,\n",
-       "        3.00734636],\n",
-       "       ...,\n",
-       "       [3.25397249, 4.13700121, 5.62388687, ..., 0.        , 7.81237691,\n",
-       "        5.16143919],\n",
-       "       [8.19277845, 7.18381653, 7.15729136, ..., 7.81237691, 0.        ,\n",
-       "        4.78215528],\n",
-       "       [4.66033323, 2.88759288, 3.00734636, ..., 5.16143919, 4.78215528,\n",
-       "        0.        ]], shape=(137, 137))"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "%%time\n",
-    "distances_r = gloscope_r.calculate_distance_matrix(force=True)\n",
-    "distances_r"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "3b2aaf06",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-10-23T17:55:27.526447Z",
-     "iopub.status.busy": "2025-10-23T17:55:27.526283Z",
-     "iopub.status.idle": "2025-10-23T17:55:33.019107Z",
-     "shell.execute_reply": "2025-10-23T17:55:33.018672Z"
     }
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
-      "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/rapids_singlecell/lib/python3.11/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
-      "  warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+  ],
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "patpy3.12",
+      "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"
     }
-   ],
-   "source": [
-    "axes = gloscope_r.plot_embedding(method=\"UMAP\", metadata_cols=well_represented_cols)\n",
-    "\n",
-    "for ax, col in zip(axes, well_represented_cols):\n",
-    "    ax.legend(loc=(0, 1.02), title=col)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "878a2993",
-   "metadata": {},
-   "source": [
-    "The numbers are again very similar to what we had before, and so it the representation. But it took us 8 hours to run!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3e140856",
-   "metadata": {},
-   "source": [
-    "# Conclusion\n",
-    "\n",
-    "In this tutorial we saw how to obtain a high quality sample representation from single-cell transcriptomic data with GloScope and patpy. It enables understanding the sources of variation in the data. With GloScope we saw that COVID-19 outcome has a high influence on the data. To learn how sample representation can be further used to derive markers of COVID-19 severity, see our tutorial on [patient trajectory analysis](https://patpy.readthedocs.io/en/latest/notebooks/Patient_trajectories_example.html)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ecfe5b4e",
-   "metadata": {},
-   "source": [
-    "# Benchmarking GloScope reimplementation\n",
-    "\n",
-    "Here are some more technical results on the reimplementation of GloScope for interested readers.\n",
-    "\n",
-    "## How much faster is the Python reimplementation of GloScope?\n",
-    "\n",
-    "**Up to 160x faster** with GPU and **up to 7x faster** without it. The bigger your dataset, the faster our implementation is. Here are the results of an experiment with COMBAT dataset subsets of a different size:\n",
-    "\n",
-    "![images/gloscope_eval_speedup.png](images/gloscope_eval_speedup.png)\n",
-    "\n",
-    "## How similar are the results of different GloScope implementations?\n",
-    "\n",
-    "For all practical purposes, **they are identical**. Here is the comparison of KL divergence matrices obtained on a different subsets of the COMBAT dataset by different reimplementations. Mean squared error (MSE) is used to compare numerical results, and Spearman correlation is used to check whether the order of samples is preserved. Both metrics are close to their limits (0 and 1 correspondingly):\n",
-    "\n",
-    "![images/gloscope_eval_matrices.png](images/gloscope_eval_matrices.png)\n",
-    "\n",
-    "The GloScope reimplementation in Python was developed by [Emma Schonner](https://github.com/EmmaSchonner) as a part of her Master thesis at the Technical University of Munich (TUM)"
-   ]
-  }
- ],
- "metadata": {
-  "colab": {
-   "provenance": []
-  },
-  "kernelspec": {
-   "display_name": "rapids_singlecell",
-   "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": "3.11.13"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
+  "nbformat": 4,
+  "nbformat_minor": 5
 }
diff --git a/supervised_methods_example.ipynb b/supervised_methods_example.ipynb
index 87d8a22..e10bc0a 100644
--- a/supervised_methods_example.ipynb
+++ b/supervised_methods_example.ipynb
@@ -1,5062 +1,4929 @@
 {
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "0576edce",
-   "metadata": {},
-   "source": [
-    "# Using supervised sample-level methods"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "89139dfa",
-   "metadata": {},
-   "source": [
-    "In this tutorial, we will demostrate how to run supervised sample-level methods for single-cell data with `patpy`."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d663964e",
-   "metadata": {},
-   "source": [
-    "## Import packages"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "983ba9ef",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import scanpy as sc\n",
-    "import patpy\n",
-    "import matplotlib.pyplot as plt\n",
-    "from sklearn.metrics import classification_report"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "d99d93b4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'0.13.0'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "patpy.__version__"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "36a105cc",
-   "metadata": {},
-   "source": [
-    "## Read the data\n",
-    "\n",
-    "Here, we use [COMBAT dataset](https://www.kaggle.com/datasets/shitovvladimir/a-blood-atlas-of-covid-19-combat-preprocessed). This dataset contains 783k cells from 140 COVID-19 patients and healthy donors."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "c15dfec8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ADATA_PATH = \"/home/icb/vladimir.shitov/projects/vladimir.shitov/2023_05_patient_representation_benchmark/reproducibility/pat_rep_benchmark/data/combat/combat_processed.h5ad\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "cd2efb7a",
-   "metadata": {},
-   "outputs": [
+  "cells": [
     {
-     "data": {
-      "text/plain": [
-       "AnnData object with n_obs × n_vars = 783677 × 3000\n",
-       "    obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID', 'ifn_1_score', '_scvi_batch', '_scvi_labels', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'pct_counts_in_top_50_genes', 'pct_counts_in_top_100_genes', 'pct_counts_in_top_200_genes', 'pct_counts_in_top_500_genes', 'total_counts_mt', 'log1p_total_counts_mt', 'pct_counts_mt', 'total_counts_ribo', 'log1p_total_counts_ribo', 'pct_counts_ribo', 'vertex', 'eigenvector_centrality'\n",
-       "    var: 'gene_ids', 'feature_types', 'highly_variable', 'highly_variable_rank', 'means', 'variances', 'variances_norm', 'highly_variable_nbatches', 'mt', 'ribo', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts', 'log1p_total_counts'\n",
-       "    uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'X_gloscope_cuml_distances', 'X_gloscope_pynndescent_distances', 'X_scpoli', '_scvi_manager_uuid', '_scvi_uuid', 'genome_annotation_version', 'gloscope_representation', 'gloscope_scpoli_distances', 'hvg', 'log1p', 'neighbors', 'pca', 'scpoli_distances', 'scpoli_parameters', 'scpoli_samples'\n",
-       "    obsm: 'X_pca', 'X_scANVI_batch', 'X_scANVI_sample', 'X_scVI_batch', 'X_scVI_sample', 'X_scpoli', 'X_umap', 'X_umap_source'\n",
-       "    varm: 'PCs'\n",
-       "    layers: 'X_raw_counts'\n",
-       "    obsp: 'connectivities', 'distances'"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "adata = sc.read_h5ad(ADATA_PATH)\n",
-    "adata"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "892bab5c",
-   "metadata": {},
-   "source": [
-    "## Set columns containing sample IDs, cell types and metadata"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "dd6105aa",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sample_id_col = \"scRNASeq_sample_ID\"\n",
-    "cell_type_key = \"cell_type\"\n",
-    "samples_metadata_cols = [\"Source\", \"Outcome\", \"Death28\", \"Institute\", \"Pool_ID\", \"binary_condition\"]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "92201a46",
-   "metadata": {},
-   "source": [
-    "Currently, there is no such columns as \"cell_type\" in the data. But cell types are stored in the `Annotation_major_subset` column. Let's rename it to `cell_type` for better readability."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "126a838a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "adata.obs.rename(columns={\"Annotation_major_subset\": cell_type_key}, inplace=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "801ab24f",
-   "metadata": {},
-   "source": [
-    "For this tutorial, we will create a binaru condition column, containing information whether a donor is healthy or comes from COVID-19 group"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "aeb83325",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Using supervised sample-level methods"
+      ],
+      "id": "0576edce"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/localscratch/vladimir.shitov/ipykernel_1391033/647081437.py:2: ImplicitModificationWarning: Trying to modify attribute `.obs` of view, initializing view as actual.\n",
-      "  adata.obs[\"binary_condition\"] = adata.obs[\"Source\"].str.contains(\"COVID\").astype(int) # 1 for COVID-19, 0 for healthy\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "In this tutorial, we will demostrate how to run supervised sample-level methods for single-cell data with `patpy`."
+      ],
+      "id": "89139dfa"
     },
     {
-     "data": {
-      "text/plain": [
-       "binary_condition\n",
-       "1    524530\n",
-       "0     87204\n",
-       "Name: count, dtype: int64"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "adata = adata[~adata.obs[\"Source\"].isin([\"Sepsis\", \"Flu\"])]\n",
-    "adata.obs[\"binary_condition\"] = adata.obs[\"Source\"].str.contains(\"COVID\").astype(int) # 1 for COVID-19, 0 for healthy\n",
-    "adata.obs[\"binary_condition\"].value_counts()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9a70c7c4",
-   "metadata": {},
-   "source": [
-    "## Store metadata and calculate QC metrics"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "dbf86880",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Import packages"
+      ],
+      "id": "d663964e"
+    },
     {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
SourceOutcomeDeath28InstitutePool_IDbinary_condition
scRNASeq_sample_ID
S00109-Ja001E-PBCaCOVID_SEV2.00OxfordgPlexA1
S00112-Ja003E-PBCaCOVID_MILD5.00OxfordgPlexA1
S00005-Ja005E-PBCaCOVID_CRIT2.00OxfordgPlexA1
S00061-Ja003E-PBCaCOVID_SEV4.00OxfordgPlexA1
S00056-Ja003E-PBCaCOVID_SEV3.00OxfordgPlexA1
.....................
S00076-Ja001E-PBCaCOVID_MILD5.00OxfordgPlexK1
S00072-Ja001E-PBCaCOVID_SEV2.00OxfordgPlexK1
S00065-Ja003E-PBCaCOVID_CRIT2.00OxfordgPlexK1
S00048-Ja003E-PBCaCOVID_SEV4.00OxfordgPlexK1
G05112-Ja005E-PBCaCOVID_HCW_MILD6.00OxfordgPlexK1
\n",
-       "
101 rows × 6 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "                            Source  Outcome  Death28 Institute Pool_ID  \\\n",
-       "scRNASeq_sample_ID                                                       \n",
-       "S00109-Ja001E-PBCa       COVID_SEV      2.0        0    Oxford  gPlexA   \n",
-       "S00112-Ja003E-PBCa      COVID_MILD      5.0        0    Oxford  gPlexA   \n",
-       "S00005-Ja005E-PBCa      COVID_CRIT      2.0        0    Oxford  gPlexA   \n",
-       "S00061-Ja003E-PBCa       COVID_SEV      4.0        0    Oxford  gPlexA   \n",
-       "S00056-Ja003E-PBCa       COVID_SEV      3.0        0    Oxford  gPlexA   \n",
-       "...                            ...      ...      ...       ...     ...   \n",
-       "S00076-Ja001E-PBCa      COVID_MILD      5.0        0    Oxford  gPlexK   \n",
-       "S00072-Ja001E-PBCa       COVID_SEV      2.0        0    Oxford  gPlexK   \n",
-       "S00065-Ja003E-PBCa      COVID_CRIT      2.0        0    Oxford  gPlexK   \n",
-       "S00048-Ja003E-PBCa       COVID_SEV      4.0        0    Oxford  gPlexK   \n",
-       "G05112-Ja005E-PBCa  COVID_HCW_MILD      6.0        0    Oxford  gPlexK   \n",
-       "\n",
-       "                    binary_condition  \n",
-       "scRNASeq_sample_ID                    \n",
-       "S00109-Ja001E-PBCa                 1  \n",
-       "S00112-Ja003E-PBCa                 1  \n",
-       "S00005-Ja005E-PBCa                 1  \n",
-       "S00061-Ja003E-PBCa                 1  \n",
-       "S00056-Ja003E-PBCa                 1  \n",
-       "...                              ...  \n",
-       "S00076-Ja001E-PBCa                 1  \n",
-       "S00072-Ja001E-PBCa                 1  \n",
-       "S00065-Ja003E-PBCa                 1  \n",
-       "S00048-Ja003E-PBCa                 1  \n",
-       "G05112-Ja005E-PBCa                 1  \n",
-       "\n",
-       "[101 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "metadata = adata.obs[samples_metadata_cols + [sample_id_col]].drop_duplicates()\n",
-    "metadata.set_index(sample_id_col, inplace=True)\n",
-    "metadata"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "dec16692",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "import pandas as pd\n",
+        "import scanpy as sc\n",
+        "import patpy\n",
+        "import matplotlib.pyplot as plt\n",
+        "from sklearn.metrics import classification_report"
+      ],
+      "execution_count": 1,
+      "outputs": [],
+      "id": "983ba9ef"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/pp/basic.py:189: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
-      "  metadata = adata.obs[[sample_key, *cell_qc_vars]].groupby(by=sample_key)\n",
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/pp/basic.py:191: FutureWarning: The provided callable  is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"median\" instead.\n",
-      "  cells_qc_aggregated = metadata.aggregate(agg_function)\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "patpy.__version__"
+      ],
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "'0.13.0'"
+            ]
+          }
+        }
+      ],
+      "id": "d99d93b4"
     },
     {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
SourceOutcomeDeath28InstitutePool_IDbinary_conditionmedian_QC_ngenesmedian_QC_pct_mitochondrialmedian_QC_scrub_doublet_scoresn_cells...cell_type_HSCcell_type_MAITcell_type_Mastcell_type_NKcell_type_PBcell_type_PLTcell_type_RETcell_type_cMonocell_type_iNKTcell_type_ncMono
scRNASeq_sample_ID
S00109-Ja001E-PBCaCOVID_SEV2.00OxfordgPlexA11112.00.9607630.0361123984...0.2008031.0040160.00000020.6827312.4598390.0753010.02510028.6646590.0502011.079317
S00112-Ja003E-PBCaCOVID_MILD5.00OxfordgPlexA11068.01.2867510.0548087384...0.1354280.3521130.0000007.6245942.8169010.0677140.00000023.1717230.0135432.559588
S00005-Ja005E-PBCaCOVID_CRIT2.00OxfordgPlexA11123.01.1769370.0663259002...0.0999780.2888250.0000004.5989781.8329260.4443460.0000002.7771610.0000000.444346
S00061-Ja003E-PBCaCOVID_SEV4.00OxfordgPlexA11131.01.3085550.0447874278...0.2103790.3272560.0000008.9527821.0051430.1168770.00000043.0107530.0233753.295933
S00056-Ja003E-PBCaCOVID_SEV3.00OxfordgPlexA1950.01.9791070.0536917600...0.9736840.0394740.0263165.2631581.1315790.2368420.00000039.9605260.0131582.486842
..................................................................
S00076-Ja001E-PBCaCOVID_MILD5.00OxfordgPlexK11251.02.0559210.0410965779...0.0692160.0173040.0173048.9288800.2422560.1557360.00000032.1681950.0173047.527254
S00072-Ja001E-PBCaCOVID_SEV2.00OxfordgPlexK11251.01.5007900.0379535195...0.1347450.5389800.00000012.2810390.5197310.0769970.00000019.0375360.0384991.828681
S00065-Ja003E-PBCaCOVID_CRIT2.00OxfordgPlexK11263.02.2568980.0497183924...0.0509680.0509680.0254843.2110090.4332310.1274210.02548438.8634050.0254844.306830
S00048-Ja003E-PBCaCOVID_SEV4.00OxfordgPlexK11140.02.0321720.0627043444...0.2903600.0290360.0000003.1358891.5969800.0000000.00000023.2288040.0580720.871080
G05112-Ja005E-PBCaCOVID_HCW_MILD6.00OxfordgPlexK11168.51.3157440.0420384432...0.0000000.1353790.0000003.2490970.4738270.0000000.00000027.0983750.0000005.956679
\n",
-       "
101 rows × 27 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "                            Source  Outcome  Death28 Institute Pool_ID  \\\n",
-       "scRNASeq_sample_ID                                                       \n",
-       "S00109-Ja001E-PBCa       COVID_SEV      2.0        0    Oxford  gPlexA   \n",
-       "S00112-Ja003E-PBCa      COVID_MILD      5.0        0    Oxford  gPlexA   \n",
-       "S00005-Ja005E-PBCa      COVID_CRIT      2.0        0    Oxford  gPlexA   \n",
-       "S00061-Ja003E-PBCa       COVID_SEV      4.0        0    Oxford  gPlexA   \n",
-       "S00056-Ja003E-PBCa       COVID_SEV      3.0        0    Oxford  gPlexA   \n",
-       "...                            ...      ...      ...       ...     ...   \n",
-       "S00076-Ja001E-PBCa      COVID_MILD      5.0        0    Oxford  gPlexK   \n",
-       "S00072-Ja001E-PBCa       COVID_SEV      2.0        0    Oxford  gPlexK   \n",
-       "S00065-Ja003E-PBCa      COVID_CRIT      2.0        0    Oxford  gPlexK   \n",
-       "S00048-Ja003E-PBCa       COVID_SEV      4.0        0    Oxford  gPlexK   \n",
-       "G05112-Ja005E-PBCa  COVID_HCW_MILD      6.0        0    Oxford  gPlexK   \n",
-       "\n",
-       "                    binary_condition  median_QC_ngenes  \\\n",
-       "scRNASeq_sample_ID                                       \n",
-       "S00109-Ja001E-PBCa                 1            1112.0   \n",
-       "S00112-Ja003E-PBCa                 1            1068.0   \n",
-       "S00005-Ja005E-PBCa                 1            1123.0   \n",
-       "S00061-Ja003E-PBCa                 1            1131.0   \n",
-       "S00056-Ja003E-PBCa                 1             950.0   \n",
-       "...                              ...               ...   \n",
-       "S00076-Ja001E-PBCa                 1            1251.0   \n",
-       "S00072-Ja001E-PBCa                 1            1251.0   \n",
-       "S00065-Ja003E-PBCa                 1            1263.0   \n",
-       "S00048-Ja003E-PBCa                 1            1140.0   \n",
-       "G05112-Ja005E-PBCa                 1            1168.5   \n",
-       "\n",
-       "                    median_QC_pct_mitochondrial  \\\n",
-       "scRNASeq_sample_ID                                \n",
-       "S00109-Ja001E-PBCa                     0.960763   \n",
-       "S00112-Ja003E-PBCa                     1.286751   \n",
-       "S00005-Ja005E-PBCa                     1.176937   \n",
-       "S00061-Ja003E-PBCa                     1.308555   \n",
-       "S00056-Ja003E-PBCa                     1.979107   \n",
-       "...                                         ...   \n",
-       "S00076-Ja001E-PBCa                     2.055921   \n",
-       "S00072-Ja001E-PBCa                     1.500790   \n",
-       "S00065-Ja003E-PBCa                     2.256898   \n",
-       "S00048-Ja003E-PBCa                     2.032172   \n",
-       "G05112-Ja005E-PBCa                     1.315744   \n",
-       "\n",
-       "                    median_QC_scrub_doublet_scores  n_cells  ...  \\\n",
-       "scRNASeq_sample_ID                                           ...   \n",
-       "S00109-Ja001E-PBCa                        0.036112     3984  ...   \n",
-       "S00112-Ja003E-PBCa                        0.054808     7384  ...   \n",
-       "S00005-Ja005E-PBCa                        0.066325     9002  ...   \n",
-       "S00061-Ja003E-PBCa                        0.044787     4278  ...   \n",
-       "S00056-Ja003E-PBCa                        0.053691     7600  ...   \n",
-       "...                                            ...      ...  ...   \n",
-       "S00076-Ja001E-PBCa                        0.041096     5779  ...   \n",
-       "S00072-Ja001E-PBCa                        0.037953     5195  ...   \n",
-       "S00065-Ja003E-PBCa                        0.049718     3924  ...   \n",
-       "S00048-Ja003E-PBCa                        0.062704     3444  ...   \n",
-       "G05112-Ja005E-PBCa                        0.042038     4432  ...   \n",
-       "\n",
-       "                    cell_type_HSC  cell_type_MAIT  cell_type_Mast  \\\n",
-       "scRNASeq_sample_ID                                                  \n",
-       "S00109-Ja001E-PBCa       0.200803        1.004016        0.000000   \n",
-       "S00112-Ja003E-PBCa       0.135428        0.352113        0.000000   \n",
-       "S00005-Ja005E-PBCa       0.099978        0.288825        0.000000   \n",
-       "S00061-Ja003E-PBCa       0.210379        0.327256        0.000000   \n",
-       "S00056-Ja003E-PBCa       0.973684        0.039474        0.026316   \n",
-       "...                           ...             ...             ...   \n",
-       "S00076-Ja001E-PBCa       0.069216        0.017304        0.017304   \n",
-       "S00072-Ja001E-PBCa       0.134745        0.538980        0.000000   \n",
-       "S00065-Ja003E-PBCa       0.050968        0.050968        0.025484   \n",
-       "S00048-Ja003E-PBCa       0.290360        0.029036        0.000000   \n",
-       "G05112-Ja005E-PBCa       0.000000        0.135379        0.000000   \n",
-       "\n",
-       "                    cell_type_NK  cell_type_PB  cell_type_PLT  cell_type_RET  \\\n",
-       "scRNASeq_sample_ID                                                             \n",
-       "S00109-Ja001E-PBCa     20.682731      2.459839       0.075301       0.025100   \n",
-       "S00112-Ja003E-PBCa      7.624594      2.816901       0.067714       0.000000   \n",
-       "S00005-Ja005E-PBCa      4.598978      1.832926       0.444346       0.000000   \n",
-       "S00061-Ja003E-PBCa      8.952782      1.005143       0.116877       0.000000   \n",
-       "S00056-Ja003E-PBCa      5.263158      1.131579       0.236842       0.000000   \n",
-       "...                          ...           ...            ...            ...   \n",
-       "S00076-Ja001E-PBCa      8.928880      0.242256       0.155736       0.000000   \n",
-       "S00072-Ja001E-PBCa     12.281039      0.519731       0.076997       0.000000   \n",
-       "S00065-Ja003E-PBCa      3.211009      0.433231       0.127421       0.025484   \n",
-       "S00048-Ja003E-PBCa      3.135889      1.596980       0.000000       0.000000   \n",
-       "G05112-Ja005E-PBCa      3.249097      0.473827       0.000000       0.000000   \n",
-       "\n",
-       "                    cell_type_cMono  cell_type_iNKT  cell_type_ncMono  \n",
-       "scRNASeq_sample_ID                                                     \n",
-       "S00109-Ja001E-PBCa        28.664659        0.050201          1.079317  \n",
-       "S00112-Ja003E-PBCa        23.171723        0.013543          2.559588  \n",
-       "S00005-Ja005E-PBCa         2.777161        0.000000          0.444346  \n",
-       "S00061-Ja003E-PBCa        43.010753        0.023375          3.295933  \n",
-       "S00056-Ja003E-PBCa        39.960526        0.013158          2.486842  \n",
-       "...                             ...             ...               ...  \n",
-       "S00076-Ja001E-PBCa        32.168195        0.017304          7.527254  \n",
-       "S00072-Ja001E-PBCa        19.037536        0.038499          1.828681  \n",
-       "S00065-Ja003E-PBCa        38.863405        0.025484          4.306830  \n",
-       "S00048-Ja003E-PBCa        23.228804        0.058072          0.871080  \n",
-       "G05112-Ja005E-PBCa        27.098375        0.000000          5.956679  \n",
-       "\n",
-       "[101 rows x 27 columns]"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cell_qc_metadata = patpy.pp.calculate_cell_qc_metrics(\n",
-    "    adata, sample_key=sample_id_col, cell_qc_vars=[\"QC_ngenes\", \"QC_pct_mitochondrial\", \"QC_scrub_doublet_scores\"]\n",
-    ")\n",
-    "n_cells_metadata = patpy.pp.calculate_n_cells_per_sample(adata, sample_id_col)\n",
-    "composition_metadata = patpy.pp.calculate_compositional_metrics(adata, sample_id_col, [cell_type_key], normalize_to=100)\n",
-    "metadata = pd.concat(\n",
-    "    [\n",
-    "        metadata,\n",
-    "        cell_qc_metadata.loc[metadata.index],\n",
-    "        n_cells_metadata.loc[metadata.index],\n",
-    "        composition_metadata.loc[metadata.index],\n",
-    "    ],\n",
-    "    axis=1,\n",
-    ")\n",
-    "metadata"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bcf522ba",
-   "metadata": {},
-   "source": [
-    "# Quality control\n",
-    "\n",
-    "To reduce noise in the representations, we need to remove samples with too few cells:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "8a5ed833",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Read the data\n",
+        "\n",
+        "Here, we use [COMBAT dataset](https://www.kaggle.com/datasets/shitovvladimir/a-blood-atlas-of-covid-19-combat-preprocessed). This dataset contains 783k cells from 140 COVID-19 patients and healthy donors."
+      ],
+      "id": "36a105cc"
+    },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0 samples removed: \n"
-     ]
-    }
-   ],
-   "source": [
-    "adata = patpy.pp.filter_small_samples(adata, sample_key=sample_id_col, sample_size_threshold=250)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8651ac51",
-   "metadata": {},
-   "source": [
-    "## Run MixMIL"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8e1345a9",
-   "metadata": {},
-   "source": [
-    "[MixMIL](https://arxiv.org/abs/2311.02455) is a method, combining mixed models and multiple instance learning. It learns importance of each cell for a supervised task, aggregates cells with these learned weights, and predicts a label of interest. MixedMIL is a light-weight model and is a great baseline for supervised sample-level tasks. Here, we will show how to use it via `patpy` to distinguish healthy people from COVID-19 patients"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1c3e1d5b",
-   "metadata": {},
-   "source": [
-    "Initialize MixMIL. Select the layer you would like to use and a list of tasks. Supported tasks are:\n",
-    "- `\"classification\"`\n",
-    "- `\"regression\"`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "5bcbc398",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "mixmil = patpy.tl.supervised.MixMIL(\n",
-    "    sample_key=sample_id_col,\n",
-    "    label_keys=[\"binary_condition\"], \n",
-    "    tasks=[\"classification\"], \n",
-    "    layer=\"X_pca\",\n",
-    "    n_epochs=100\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "00455afa",
-   "metadata": {},
-   "source": [
-    "Train the MixMIL model:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "909d7e38",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "adata, combat_info = patpy.datasets.combat_preprocessed(return_dataset_info=True)\n",
+        "display(adata)\n",
+        "display(combat_info)"
+      ],
+      "execution_count": 3,
+      "outputs": [],
+      "id": "c15dfec8"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n",
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n",
-      "GLMM Init: 100%|██████████| 1/1 [00:00<00:00,  2.99it/s]\n",
-      "Epoch: 100%|██████████| 100/100 [02:04<00:00,  1.25s/it]\n"
-     ]
-    }
-   ],
-   "source": [
-    "mixmil.prepare_anndata(adata)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "48c2591d",
-   "metadata": {},
-   "source": [
-    "We can now display the training history:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "7364da73",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [],
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "AnnData object with n_obs × n_vars = 783677 × 3000\n",
+              "    obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID', 'ifn_1_score', '_scvi_batch', '_scvi_labels', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'pct_counts_in_top_50_genes', 'pct_counts_in_top_100_genes', 'pct_counts_in_top_200_genes', 'pct_counts_in_top_500_genes', 'total_counts_mt', 'log1p_total_counts_mt', 'pct_counts_mt', 'total_counts_ribo', 'log1p_total_counts_ribo', 'pct_counts_ribo', 'vertex', 'eigenvector_centrality'\n",
+              "    var: 'gene_ids', 'feature_types', 'highly_variable', 'highly_variable_rank', 'means', 'variances', 'variances_norm', 'highly_variable_nbatches', 'mt', 'ribo', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts', 'log1p_total_counts'\n",
+              "    uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'X_gloscope_cuml_distances', 'X_gloscope_pynndescent_distances', 'X_scpoli', '_scvi_manager_uuid', '_scvi_uuid', 'genome_annotation_version', 'gloscope_representation', 'gloscope_scpoli_distances', 'hvg', 'log1p', 'neighbors', 'pca', 'scpoli_distances', 'scpoli_parameters', 'scpoli_samples'\n",
+              "    obsm: 'X_pca', 'X_scANVI_batch', 'X_scANVI_sample', 'X_scVI_batch', 'X_scVI_sample', 'X_scpoli', 'X_umap', 'X_umap_source'\n",
+              "    varm: 'PCs'\n",
+              "    layers: 'X_raw_counts'\n",
+              "    obsp: 'connectivities', 'distances'"
+            ]
+          }
+        }
+      ],
+      "id": "cd2efb7a"
+    },
     {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Loss')"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Set columns containing sample IDs, cell types and metadata"
+      ],
+      "id": "892bab5c"
     },
     {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkAAAAGwCAYAAABB4NqyAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAlt5JREFUeJztvXmYXGWZ/n/XXtVL9b6ks+8LJCEghLAjkSQwiDAjGPgNggoDEhUiLkEFxFEcHXADwQ2C6FfAGcRREAyBsIYtJGxZyL713p3ea6/z++Oc961zTp3qrqpeqrr7/lxXLrurT516q5ukb+/nfp7HpiiKAkIIIYSQcYQ91wcghBBCCBlpKIAIIYQQMu6gACKEEELIuIMCiBBCCCHjDgogQgghhIw7KIAIIYQQMu6gACKEEELIuMOZ6wPkI/F4HPX19SguLobNZsv1cQghhBCSBoqioLu7G3V1dbDb+/d4KIAsqK+vx+TJk3N9DEIIIYRkweHDhzFp0qR+r6EAsqC4uBiA+g30+/05Pg0hhBBC0qGrqwuTJ0+Wv8f7gwLIAlH28vv9FECEEELIKCOd+ApD0IQQQggZd1AAEUIIIWTcQQFECCGEkHEHBRAhhBBCxh0UQIQQQggZd1AAEUIIIWTcQQFECCGEkHEHBRAhhBBCxh0UQIQQQggZd1AAEUIIIWTcQQFECCGEkHEHBRAhhBBCxh1chjqCBCMxtPaE4HbYUe335vo4hBBCyLiFDtAI8ssX9uCM/3oBv3h+T66PQgghhIxrKIBGkPJCNwCgvS+c45MQQggh4xsKoBGkTAigHgogQgghJJdQAI0gwgE6RgeIEEIIySkUQCOIEEBtvRRAhBBCSC6hABpBpAPUG4aiKDk+DSGEEDJ+oQAaQcoKVAEUjSvoDkWH9N4f1nfiD68fRDxOYUUIIYQMBOcAjSBelwOFbgd6wzG094Th97qG7N5f/tNW7G3pxZyaYpwyvXzI7ksIIYSMRegAjTBlw9AKf6C1F3tbetX79oaG7L6EEELIWIUCaISpGIZW+E27muXHPaHYkN2XEEIIGatQAI0ww+EAbfqoRX7cFx7abBEhhBAyFqEAGmHkNOghaoUPRmLYvLdNft5LB4gQQggZEAqgEaa8INEKPxS8vq8NoWhcfk4HiBBCCBkYCqARpmyIHaBNu1oMn9MBIoQQQgaGAmiEqRhyAaQGoBdOLAEA9A7xfCFCCCFkLEIBNMIMZQi6oy+MA219AIBPLKgBAPSyBEYIIYQMCAXQCDOUDlBfWC13uR121Pg9hscIIYQQkhoKoBFmKDNAwYgqdjxOOwo96lBvlsAIIYSQgaEAGmFEF1h3MIpILD7A1f0jur88LgcK3ZoAYgmMEEIIGRAKoBGmxOeC3aZ+PNhWeOEAeV12FLgdAIA+doERQgghA0IBNMLY7Ta5FX6wQWjpAOlLYHSACCGEkAGhAMoB5UO0DyzhADmkAKIDRAghhAwMBVAOGKpWeIMDpJXAesNRKIoyuAMSQgghYxwKoBwwVOsw9A5QgeYAxRUgGBlcuJoQQggZ61AA5YDyIlUAtQ1SAOkdoAKXQz5uzgE9/X4DnnjnyKBeixBCCBlLOHN9gPHIUDlAIZ0DZLfbUOB2oC8cU3NARdo10RhuenQbovE4li+ogd/rGtRrEkIIIWMBOkA5QISgB+sAiVKXx6n+GAssZgE1dgYRjsURV4CO3sigXo8QQggZK1AA5QAhgI4NOgSdcIAAoNCjBaF106DrO4Ly467gyAugvnAUX/7TVjz1XsOIvzYhhBCSCgqgHCC6wNoG3QafygFKtMI3dgXkxz05WJPxxv52/N+79fjVS3tH/LUJIYSQVFAA5YBKLQTd3B0a1H3MDlCRR0yDtnaAuoMjL4BETok7ygghhOQTFEA5YFpFIQB1IWpnX/ZlqbQcoE69ABr5Elgkps4kYms+IYSQfIICKAcUepyo8XsAAPtae7K+j3CAPP1kgBo6c1sCEwtfAxFOqCaEEJI/UADliBmVap/6/tberO+RThdYrktgUc0BCoQpgAghhOQPFEA5YnqVWgbb15K9AErqArPYCN/YlVsBFNY5QFzRQQghJF+gAMoRMypVATSUDpB5I3wwEkO7btZQLjJA0Vgi+yMmVxNCCCG5hgIoR8zQHKC9LYPPACXmAGkCSMv66APQQG4cIBGCBlgGI4QQkj9QAOWI6VoG6EBbL+JxBU+8cwQfv3sT9jSnL4iEAyQEUIHcCK8KjXpdABrIUQg6nnB9GIQmhBCSL1AA5YjJZT447TYEI3E0dAXxi+f3YF9LL/6yNf2lpfplqABQqIWg+1I6QDlog4/qHCAKIEIIIXlCTgXQSy+9hIsuugh1dXWw2Wx48sknB3zOpk2bcOKJJ8Lj8WDWrFlYv3694et33HEHbDab4c+8efOG5w0MAqfDjikVBQCADR82yizQe0c6076HfhkqoM8AqY83aAKo1u8F0H8J7L0jHXhhZ3MmbyEtonoHiCUwQggheUJOBVBvby8WL16M++67L63r9+/fjwsvvBDnnnsutm3bhptuuglf+MIX8OyzzxquO+6449DQ0CD/vPLKK8Nx/EEjWuF/+8p++dh7RzrT7pYyO0AFYhK0FoKu71BLYLNr1NdJJYAURcHn1r+Fzz38Flp7Bjed2kzYEIKmACKEEJIfOHP54qtWrcKqVavSvv6BBx7A9OnTcffddwMA5s+fj1deeQU/+clPsGLFCnmd0+lEbW3tkJ93qJlRVQjsAI4cS2R1OgMRHGrvw1RtWnR/BM0OkJgDpLXBixLYnJpivLy7NWUJrKMvglZtL9mx3jAqizxZvqNkooYQNLvACCGE5AejKgO0efNmLF++3PDYihUrsHnzZsNju3fvRl1dHWbMmIErr7wShw4d6ve+oVAIXV1dhj8jgWiFF0wq8wEA3k2zDJbkALmNk6DrpQBSHaCeUNTSXdILMKuVFW8daM8onK0nEmMImhBCSP4xqgRQY2MjampqDI/V1NSgq6sLgYD6S3zp0qVYv349nnnmGdx///3Yv38/zjzzTHR3d6e871133YWSkhL5Z/LkycP6PgTTdQJo0aQSfHxeNQDgvcMdaT3f7AAVaRmgvrBwgEQJrBgAEFcSX9NztKNPfmwuUzV3B7H616/jM79+3SBm0sXQBk8BRAghJE8YVQIoHVatWoVPf/rTWLRoEVasWIGnn34aHR0dePzxx1M+Z926dejs7JR/Dh8+PCJnnVFVJD/+xPwaLJpUCiC9IHQ0Fkc0rooLcwaoNxxFIBzDMW3R6szKIjjsNgDWOaD+HKDGziCicQWtPSG8sa893bcm0YumIEPQhBBC8oScZoAypba2Fk1NTYbHmpqa4Pf74fP5LJ9TWlqKOXPmYM+ePSnv6/F44PEMXe4lXSqL3Kjxe9DSHcLK4xOZpQ/qOxGLK1K0WKGfqmzOAClKYslqgdsBv8+JIo8TnYEIekIRAF7DvfQCyOwA9egE07MfNuKM2ZUZvccoS2CEEELykFHlAC1btgwbN240PLZhwwYsW7Ys5XN6enqwd+9eTJgwYbiPlzE2mw0PXX0K/vD5pZhdU4wZVUUocDvQF44NOCE6qBMTwgHyaUIIAD5qUkt+tSVe2Gw2FHtVcdRl4QAd7UjtAOmv37C9CfF4Zvu8WAIjhBCSj+RUAPX09GDbtm3Ytm0bALXNfdu2bTK0vG7dOlx11VXy+uuvvx779u3D17/+dezcuRO//OUv8fjjj+Pmm2+W19xyyy148cUXceDAAbz22mu45JJL4HA4sHr16hF9b+myoM6P02aprorDbsPxE0sAAO8OkAMSDpDbYYddc4rsdptciPry7lb1/hP8AIBirwvAwCWwJAdINz26sSuI946mP6cIMIWgWQIjhBCSJ+RUAL399ttYsmQJlixZAgBYu3YtlixZgttuuw0A0NDQYOjgmj59Op566ils2LABixcvxt13343f/va3hhb4I0eOYPXq1Zg7dy4uu+wyVFRU4PXXX0dVVdXIvrksWTxJFUAD5YCEAyTcH0GBFoR+cVcLAGDpjAoAQLH2eI+VA3QsEYI2O0A9ptb5Zz9s7P8NmDBkgOgAEUIIyRNymgE655xz+h36Z57yLJ6zdevWlM959NFHh+JoOWOmFoyu7wj0e51sgdeVvQCg0O1AC4A2bQv8shnlACBLYOZZQF3BiKHMlcoBKi1woaMvgmc/bMQ3VqY/WTsaZwmMEEJI/jGqMkDjgUJTK3sqUjpA7oSmrSxyS0FVJAWQ0QE6eswotMwOULcmgFYdXwu3w459Lb04oK3tSIdwlCUwQggh+QcFUJ4hhhmKdRapEA6Q12X8ERZ6Eo7QKdPLYbOp+SDpAJk2wh8xCSCzAyQEU63fh6na7rKjA7hTeugAEUIIyUcogPIM4eCk7wCZSmCehAN0qpb/AfQhaGMJTJ//Ue9rzgCpAqjI60R5oRtAoryWDswAEUIIyUcogPKMQrnQtH+xkNIB0pXAlk5PCCAxJdpcAhvIARIZoGKPExVFqgBqz2BhKtvgCSGE5CMUQHmG3Oc1QAkslQMknl9W4MLs6sSkab/XugtMlLOEu5OOA9SepQPEDBAhhJB8gQIoz0i3BJY6A6Q+f+n0CjkfCNCVwELGEphwgGZWFWr3Nb5ul1YyK/Y6UV6oTsvOpAQWNZTAuA2eEEJIfkABlGeIElY4Gu93+WjItAhVcM7cKtT6vbj8FONC16IUc4CEAyS6xUJmB0grgRV5nKjIygFKlMCYASKEEJIvUADlGT53QtBYuUBibpKcA2Rqgz9nbjVev/U8nDu32vB4sUUbfF84KsWMFECpMkAWIeijHQGs+tnLeOytQ0hFmLvACCGE5CEUQHmG22mHy6GWrsyt8I+/fRiL7vgn3tzfLt0UswOUiiKLXWBiBlCx14mqYrW8pS9TKYqSyAB5XEkO0As7m7GjoQv/+87RlK/LZaiEEELyEQqgPMQqBxSOxvHfz+5CdyiKTbuaUzpAqfBrGaAeXQZI5H8mlRXI++gdoFA0Luf4FHmdKC8yCqDGziAAoDeUOrBt6AJjCJoQQkieQAGUh4iFpn2hhGB45sNGNHer7eetPaGMHSBRAgtGEtmiI1r+Z2KpT95H7wCJALTNpp5JlMCO9YURiyuo71Sf39OvAErcLxSNZ7xNnhBCCBkOKIDyEJ9FK/z6V/fLj1t7wlKopOsA6QckihzQEW0I4qQyn6UDlCh/OWGz2VBWoAogRQE6+sJpOkDGUHUwSheIEEJI7qEAykOEWBElo/ePdOKdQx3y6609ISlUzMtQU+Fy2OHTrhXC5qgsgfnkffQOkH4IoriHmCfU3htGgyaAzMMVBbG4ArPhwzIYIYSQfIACKA8xD0Nc/9oBAMAMbVZPWxYOEKAPQqulrSN6AdSfA+RNuEcVRYlZQGJjfShFy77VYwxCE0IIyQcogPIQGYLWMkCv7W0FANxw9kwAQEsWGSAguRX+qMwAFVhmgLp1M4AEIge0t6VHBrEB6zKYfhGqGNjIWUCEEELyAQqgPMTsAHX0qY7N4smlANSOMDGLJxMHSL8QNRiJoUULVadygIRQEs8DEgLow/ouw72tymARnUASXWiBMKdBE0IIyT0UQHlIoa4NPhyNy7JRTbFXujEiwJyJA1Sjzfo51N4ny1eFbgdKC1wGB0gMW+zRSmWGEpgQQEc7Dfe22l0Wiatix2ZLuEgsgRFCCMkHKIDykAK5ET6KzkCiFb3Y60SlNotHtMRn4gAdP7EEAPDB0U6Z/5lY5oPNZoNHt1NMTG82h6CBhAO0s7HbcG/zig0gMQPI5bBLgUUBRAghJB+gAMpDZAksFJMCqNjjhN1ukyFkzaTJyAFaqAmg9492yvzPpLIC9T66rfIiB9RfBkif/wGsZwGJKdAuu0229rMLjBBCSD5AAZSHiBB0IJwQQCUFaoZGOECCbBygfa292KU5OBNLfQAAl8MGm7Y8XuSAui27wIyvL7ASQKILzOVMtOAzBE0IISQfoADKQwp1IeguIYB8QgB5DNdm4gBVFXswocQLRQE2bG8CoAagAcBms0kXSGyE77EMQRtfX2DVBSZKYE67XZcxyl4A/fblfXhOOzchhBAyGCiA8hD9LrDOAQSQPruTDsIFki3wmgDS30s4QFYZIBGCFtT6vQBSdIFpDpDboSuBZSmA9jT34D+f2oFb//J+Vs8nhBBC9FAA5SFWIWgpgIpNDpAzfQcISOSABCIDpL9X0OQA6Utg5SYBNLumSL22PwfIYYdPE1fZCqAGbe9YqqnThBBCSCZQAOUhhRYOkJijU2kSIJk6QGYBJDJA+nvJDFA/IWjBzCpVAFmXwLQMkMOWKIFlGYIWM4tC0Zhs0yeEEEKyhQIoD5HLUEND7wAdrxNAHqfdEKo2O0DdFnOAvC6HzChVFrmlILLuAku0wfsG2Qbf2qMKoLhinDBNCCGEZAMFUB5i6QANQQgaSAShgcQMIEGqDJBfJ4AAoFwTTRNKfNId6gklC5uEAzT4OUCtPWH5MTvJCCGEDBYKoDwkkQGyCkFn3wYvEC6QPv8DGB0gRVESGSCPy3Cd6ASbUJKYTC2mRusRAsipD0FnuQpDlMCA5BlEhBBCSKZQAOUhCQcouQRW5HHCrYket8MOu91mfZN++NjUMgDALC2/I9A7QKFoXJaaikwOkOgEm1DilV/rtXSAkktg2bo3ogSmno8CiBBCyOBwDnwJGWmEWxKJKWjTfvELAWSz2VBV5MHRjkBW7g8AXLVsGqr9Hpw7t9rwuEfnAIluK5sNKDCV2SZrrfMzq4tQqDlA3boMkKIosNlsiMYTIejBZoAMDhBLYIQQQgYJHaA8RKzCAIDGziCAhAACEmUwT4b5H4HP7cAlSyahtMC6oywUiSUC0G5nksv05fNm478/vRifPmmyLgOkXn/n37bjlB9sREt3COGoLgM0yFUYegdIhLQJIYSQbKEDlIe4HHa4nXaEo3H0aoLBKIDUDE62DlAqZAYoGk8MQfQm/ydSUeTBv500yfB1UQJ75oMGtHSH8EF9pyyhOe2D6wKLxRW09yZC0CKkTQghhGQLHaA8Re8CAdYCyJvhDKCBSDhAccshiFYUyhB0FLG4giatVBUMxxKToJ02QwYoHlcyygK194ah73xnBogQQshgoQDKU0QQWlBssZDUk+EMoIFIOEAxyyGIVoivh2Nx1HcEENOUSl84ZtgF5nMnJkHf+pf3sfCOZ7G3pSetc+nzPwAFECGEkMFDAZSn6B2gIo8TTkfiRzUSDlBiE7yrv6fIoYiAuq9L0BeJWc4BaugM4tG3DiMSU7Dl4LG0zqXP/wCcA0QIIWTwUADlKQU650Vf/gKAKeXq/J5Um9mzRe8AiS30VhkgPU5di7teAAXDMUQtVmGEde5Nm2644YbtTSkdIbMAogNECCFksDAEnafoW8/9JgF0ztwq3HXpQpw2s2JIX1PvAAnRUVU0sMgq9DgRiMSMDlA4hpiSPAdIj2jx39nYhWt//zaOn+jH3790ZtJ1SSUwOkCEEEIGCQVQnlLoSQiGEp/xx+R02LH6lClD/pperassGI1J0VFVPLAAKvY60doTwp4WfQksCoe2ZsMsgGw2QFGANq2z60BrLwDg6LGA5f3pABFCCBlqWALLUwrcqUtgw4WYKxSKxNGSgQMkgtC7m7rlY/ouMJe2CkOME7pkyUQACQHUrImtzkAEcYtFp/o9YAAzQIQQQgYPHaA8RR+CHikB5NWtwhBzd9JxgIRb1RVMTIPuC8fkolURgv7OvyxAXziGBRP8eOKdo7IEJtymuAL0hKPwm4LX4utuhx3hWJwOECGEkEFDAZSn5MQBciZm9cgMUBoCyLwsFVC7wMTOMqdDFULXnD4dAPD+kU4AiRC0PuPT2RdJEkDiLBNKvTjY1kcBRAghZNCwBJanGDNAI+sABSIxWXZKTwAlB5zVLrBECFqPmGPU1huCoiiyBAYAHX3JW+WFAJqk7SDjJGhCCCGDhQIoT/HloAQmHKDGzqAcaFhe6O7vKQCsp0X3mTJAesQ9IzEFXcGowQHqCBjzPtFYXGaFJpWq7f+hLHaBRWJx/GLjbmw9lN7sIUIIIWMbCqA8RT8J2twGP1wIB0i4P+WF7iT3xopCi2nRfZEYInFrB8jrcqBYe05bT8hYAgsYHaD2vjAURe0cqy3xAsjOAXp1Tyvu3vAR7vrHzoyfSwghZOxBAZSn6EPQIyWAzKs10ukAAyDFjJ5gOIaIltVxWogoUQZr6Q4Z2tzNJbDWblWMVRS6ZVkwGwdI5I06LUpshBBCxh8UQHlKYT+ToIcL82qNdPI/gHFfWKUmbPoi0cQyVFMJDFA3ygPAnpYeuTUeSHaARDt+ZZFHCrRsQtBiu31fJDrAlYQQQsYDFEB5Si4zQIJ0BZBerE2vLAQABMKJEpjTbuEAaTmgHQ1dhsfNAqi1OyGAhEDLZg5QdzAiz0UIIYRQAOUphTkZhJidA6TfFzajsgiAJoA0p8blTF0C29nQbXi8o88Ygm7rFQLIPSgHSGy3pwAihBACUADlLbkYhGh2gEQ5ayAMDlCV6gAZtsHbLUpg2iLXnY1mAWQKQfeqn5cXeuBxJgY1ZorYbt8XiUFRkqdNE0IIGV9QAOUpQvT4vc60OrGGgqHIAM3QSmCKksjdWJ1fOEDiGvHaHaYS2LFe0ZHmSixrzSYDpAkgReEuMUIIIZwEnbdMLi/A11fOxeSyghF7TbfDLheVAkBVkTet5xkEkOYAAQnXxdlPCFowq7oIHxztQpdJAIkZQGWFbnh1k6ozRQgtQC2DeS2205tRFEWu8yCEEDK2oAOUx3zxnFm4aHHdiL2ezWaTZSYgAwdIlwGaWFoAt+b4CDHjtnCAKk0DFmdXFwNILoEd0zJB5QXuQTlAIgQNqJOuB+La37+NC3/+CqIxukWEEDIWoQNEDHicDgS1OTvpCqBavxf/smgCKgrd8Lkd8LkdCAfiMnhsPQco2QECkidBH9M5QDIEncUcoG7Totb+iMcVbNjeBABo6AxicvnIuXCEEEJGBgogYsDrsqMzADjtNpSmGb622Wy494oT5ecFboehnd28CgNIZIAEszUBFIzEEYwkSlTtfYmp1CJLPZgQtPoa/T8/qLt/Om4RIYSQ0QdLYMSAcFkqizywW3RvpYPPlK+xCkGXFbihj9fMqCqCQ3s9UTqLxuJSSJXrHKBgFg6QPgM0kAOk/zrb5gkhZGxCAUQMiG6syuL0WuCt0A9xBKwFkMNuQ3lB4jWq/R74tSyR6ATrCERkILvU5zK0wWfSyq4oikkA9T8Nui80OAdIURR843/ew0+f+yjj5xJCCBkZKICIAeGypLsHzIoCkwCy6gIDEmUwj9OOYo8TpZogEkFokf8p8bngdNjl2eIKDOszBiIQicnt9sDAJTD9uoxsBFBDZxCPvX0YP9+4W85CIoQQkl9QABEDwgFKNwBtfQ+jALLqAgMSwxCr/R7YbDY5+0iUvdp7E/kfwDipOpNOsJ6g0fEZqATWq3OAglmUwITAiitAs27TPSGEkPwhpwLopZdewkUXXYS6ujrYbDY8+eSTAz5n06ZNOPHEE+HxeDBr1iysX78+6Zr77rsP06ZNg9frxdKlS/Hmm28O/eHHKNIBGoQAytQBEm5TaYEqgMQ6DNECX6Y9rm/Rz2QWUJdJAA3k6uhzP9k4QJFYwm1q7Axk/HxCCCHDT04FUG9vLxYvXoz77rsvrev379+PCy+8EOeeey62bduGm266CV/4whfw7LPPymsee+wxrF27FrfffjveeecdLF68GCtWrEBzc/NwvY0xhcjvDK4EZmwuTDXJulJ7jepideBisgOUCEADareZ25n5LCB9/gcYONiszwhlI4DCurM1dAYzfn6mPPrmIdzxfx9yxQchhGRATtvgV61ahVWrVqV9/QMPPIDp06fj7rvvBgDMnz8fr7zyCn7yk59gxYoVAIB77rkH1157La655hr5nKeeegoPPvggvvnNbw79mxhj/PupUxGPK1i1cELW9zCXwFIJoGkV6nwdsT+s1CSAjvUZS2CA6gKFo3GEMhAm+iGIQDoCaHBdYOFY4jmNIyCAfvjMTnT0RfD/nTpVzlMihBDSP6NqDtDmzZuxfPlyw2MrVqzATTfdBAAIh8PYsmUL1q1bJ79ut9uxfPlybN68OeV9Q6EQQqFEVqOrq2toDz6KOGtOFc6aUzWoe5hLYFZzgADgM6dMQV2pD6fNqgQAlJhC0G09iSGIAq/Lge5gdHAZoIFC0DrRk83ajdAIOkCKokjBOFB3GyGEkASjKgTd2NiImpoaw2M1NTXo6upCIBBAa2srYrGY5TWNjY0p73vXXXehpKRE/pk8efKwnH+8kCyArP8z87ocOP+4WrlLTDhAHWYHqMDoAAGZCZNucwZomEtgxgzQ8Aqg3nBMjgrgzCJCCEmfUSWAhot169ahs7NT/jl8+HCujzSqMZfAnGkOVBQZIBGCbu9NdoA8WWSAujPOAOlLYJm3sRszQMMbgta7W0FuuSeEkLQZVSWw2tpaNDU1GR5ramqC3++Hz+eDw+GAw+GwvKa2tjblfT0eDzye7EO/xIjeAXI5bGlvVBddYF39OEBCXA2mBDaQq9M3yC4wvQAabgdIn2/KplxHCCHjlVHlAC1btgwbN240PLZhwwYsW7YMAOB2u3HSSScZronH49i4caO8hgw/egHktKf/n5hsgzfPASqycICyCEGLSdMDzQEKhNPfG2aFPgTd1B0yDGEcavTuFgUQIYSkT04FUE9PD7Zt24Zt27YBUNvct23bhkOHDgFQS1NXXXWVvP7666/Hvn378PWvfx07d+7EL3/5Szz++OO4+eab5TVr167Fb37zGzz88MPYsWMHbrjhBvT29squMDL86EtgqQLQVpT4jCFoKYAMGSBtH1gWbfDVfrXdPhDpPyzcO8gQdCSaEDyxuILWnuEbhpjJkldCCCEJcloCe/vtt3HuuefKz9euXQsA+OxnP4v169ejoaFBiiEAmD59Op566incfPPN+NnPfoZJkybht7/9rWyBB4DLL78cLS0tuO2229DY2IgTTjgBzzzzTFIwmgwf+jlAqQLQVogMUFcwgkA4Jp0aQwbIlY0DpAmgYg/2NPcMmAEa7CDEkGn9RUNnEDWa+BpqjCUwZoAIISRdciqAzjnnnH6Ht1lNeT7nnHOwdevWfu+7Zs0arFmzZrDHI1lizABlLoAUBTjY3gtAXZoqSlcA4HVmngESZaJqbbr1wNvgdV1g2cwBMp2tsTMATC7N+D7p0EMHiBBCsmJUZYDI6EBfAku1BsMKt9OOCs3teXVPGwCgrMBtCFFLBygTAaS5JKIENpBQGHQJzMIBGi6MJTA6QIQQki4UQGTI0TtAqRahpuK8+dUAgD++fhAAUF7oMnw9mzlAPcHMHKDBlsCSHaBhFEChwc0sIoSQ8QoFEBlyfFk6QABw4aI6AMC+VrUEpl+DASRC0NnsAhMLXgdugx+aXWDCuKofVgeIbfCEEJINFEBkyMk2AwQAp82skO3wQLIA8soSWAx94Sje3N8+4BJQUSaSAmi4ByFqJbAJWsltODfC6zNAoSgFECGEpAsFEBlyfPo5QBkKIJfDjpXHJYZWlhWkcIAicfxs425c9qvN+PPbR1LeLx5XEm3w2tb5aFxJyunoGewuMOEATdGWvTIDRAgh+QcFEBly9CUwd4YlMAD4F60MBliVwBIO0HuHOwEA/9xunPytp0dXzqr2J6Z994VjuO+FPTjjv55PWldhzgAN5DCZEQ7Q1HJ1y31TVxDxYRqG2B1KlMC4C4wQQtKHAogMOU6HXYafM5kELTh1RrkUPmYHSK7CiMRRrwmXN/a3pZy2LEpELocNxR4nHNpeskA4hr+9W48jxwJ468AxeX0kFpcCBlAHGeqXm1qxcUcTLr73Fexp7gGQcIAmlflgt6nLUdu0oY5DjXEXGAUQIYSkCwUQGRZEGczlzPw/MafDjuvPnoFirxNnzK40fE20wQciMTR0qKWl7mAU2+u7LO8lyl/FXhdsNhsKNAEViMTQ3B3Snp9wUaw6xAYKQj+5rR7vHunE8ztVJ0oIIJ/bIXNHw9UJxknQhBCSHRRAZFgQZTBXmpvgzVx31ky8d/v5mFNTbHhclMCOdgQMTs3mfa2W9xHipsijDlP0asKsKxCRqzb0IkKUkRx2m9xiP5CwEM8RGRyRL/I47agsUgVQa+/wrMMw7gJjBogQQtKFAogMC6ITLNMuMD1WW+RFCHpfS6/h8c172yzvIcRNsTZNWpzrUHuf7pqEA9SrZYYK3A4p4gbK1ojuKyGUhAPkcthlR1tnX8T6yYOEbfCEEJIdFEBkWBAlsEznAA2EaIMXpS2xPuOtA8cQtejsEgJIOEBC1BgFULIDVOB2SLcoEIlhb0sP/u3+17BpV3PSawjhIWYTCWfK7bSjVMswHesb+gxQJBY3uD4UQIQQkj4UQGRYEEIj00nQAyEcIMFZc6rg9zrRE4riA4scUCIDpAkgTdQcaE04SHoB1CcFkDPhAEViePbDRrx98Jhly70QIWYHyO20o0xzgI4NgwOkD0Drz0EIIWRgKIDIsDBcDpDHFKqeXObDKdMrAFiXwUSJqNirChEhag5mUAILhmM4puWFuoLJQkYIHyFApAPksKPUpzpAHcPgAHWbBBBXYRBCSPpQAJFhYSgyQFaILjDBxDIfTp1RDgDYcrA96foeUwlMZoDaEgKoK40SmHBwugIWAigqSmCmDJAzkQHqGAYHSD8DCGAJjBBCMsGZ6wOQsYnsAhvmElhdqU8OGWzsSm417wqaS2DOpGutSmA+txMOTdAEInoHyOi6APoSmOYAaQLI47DLOUbDkQES5y7xudAZiCAUjUNRFMvwOCGEECN0gMiwIISGa5hC0IJJpb5Eq3l3ssho0Wb9iGt8ruT/5I1zgFRRUWjqAhMCxtIBihgdoIghBD18DlCPaceZegbmgAghJB0ogMiwUKOtnSgv9AxwZWZYOUCVmgBo6w0lra1o0pyeGm0xaYE72fS0doAcMscUjMSkgOkKRpJeI5QiBK22wWsZoEBqB2jjjiZ8/X/ezXiVhSiBVRUlvsdch0EIIenBEhgZFj53xnRMrSjAJxbUDnxxBugzQKUFLhTq1ltEYgo6AxEpOoBEqau2RBUJXpdRQAFqp5goHfXpMkCCQCSGds0BisQUhKJxeZ9YXJGhZ6s2+GIttN3Rm9oB+vGzu7CzsRvnL6jF8gU1aX8vhANUWuCC025DNK5wHQYhhKQJHSAyLPi9LlyyZJIMHw8VegdoYqkPgCpqRMantScxcVlRFDR3qZ+LTfB6YSOIxRUpfPpCogTmlCKnJxRDp670pS+DhXSCwzwPSD8HqDsUtdxAH48rONDWq12TWZlMn28SZ2UrPCGEpAcFEBlV6NvghQACEmWgFl0OqKMvIt0YsQneZ3KAxKYOUQbri+hKYNq1zV1B6KteXYbpy/GkjyO6NvgSnwsik2yVA2ruDsnn9YQyLIHJDjeXTgDRASKEkHSgACKjCr0AqtMJIJED0jtAovxVXuiWzpFP5wBVFLrh1yZJiyC0vg1eCKCjHQHDGToD1gtIzW3wbqcdDrsNfm0GUadFDki4P0DCfUqXnpCYceSU4XDOAiKEkPSgACKjCpvNJkXQpLJkB0gvgEQAulrXJaV3gKqKPbJ0JspJvSExCNEpxVKDaZN7V4r9W8FIHNFYHFpXvpyC3d80aP1E6t4MBVC3ZQmMAogQQtKBAoiMOoQAMjhARWrWxkoA1ZZ45WP6DFBVsQfFHpMDFNENQtRERYPJAdJngMy7uPQb6t3aOUvELKBeKwcoMZCxN8MOrh6dABLCLsQMECGEpAUFEBl1iLUWU8oL5GNWs4CatAB0TXFCAOlLYNXFXukAyQyQxS4wszDRD0PUd12FonFZ/gISQyCFA9RhMUNoKBwgNQOkvhYdIEIISQ+2wZNRx20XLcCuxm4cV+eXj1llgBIzgKxLYNV+j+zu6k4qgTkQiFj//wOjA2QUHPqZQmIIpJgGbbUPTJ8BytQB6g4ll8CYASKEkPSgACKjjhXH1WLFccb5QpX9ZIBqDCWwxH/y1cUeNGn5HqsSWF84uWUeMGaAzCUnIYDcTrtcSVHis84AKYqCg/oSmM4BSmelhThzkdcpQ95sgyeEkPRgCYyMCRIZoIFKYIn/5PUlMCFq9CUw89BEkenpStEFpr+PR7cDLZUD1NwdMjg2QgC19YRw6l0b8d2/fdjfW5Ziy+91GqZWE0IIGRgKIDImqJRzgBLrMBotQtA+vQPk98g8kcwA6Upg5plBk7WuM0MXWNS6BObSteuXFVrvA9Pnf4CE+HrvaCeaukJ4cVdLyverKAp6QroMkPZ6nARNCCHpQQFExgRiIWg4FkdXMIpoLC7LYdUpMkBVRR5DCFpRFDkIsUC3C0wwtaIQQOouMPU+6tfcOgcoUQIzOkAi/yM604QDJO7f32LTQCSGmNZvb2iD5y4wQghJCwogMibwuhxy7UZrTwitPWEoCuCw21ChW8ha5HHKTe+1JV6dAxRBKBqXE58LPM4kB2hqhdp1ZugCM5fANPHidlqVwEwOkJb/mT9BDXP3apvoxf37E0CiBd5uEy37wgFiBogQQtKBIWgyZqgq9qAnFEVrdwjdLlUgVBd75LJUQBUmf/jCUgDGHWJdwaghhOxzOZIyQFO1tvvufhygLl0IWpBSAGklsOPq/Nhy8Bh6tVUYwkUK91PO6pIt8E7YbDYp1pgBIoSQ9KAAImOGyiI39rf2orUnDKfWgl7t9yZdt2RKmfxYXwITGRyPtsIiZQksxSRo9T7q11wO49Z6wKoEpjpAC3QOkKIoMmQdtlieKhCB6hLt3h4KIEIIyQiWwMiYQd8KL1vgdWswrNCXwERHVqFWSjOXwKaIElggKoPWqULQegdICKBQNC53jakt8MIBKtEeU7M9QmCpJTndFlYdMt+kdbgl5gAlRJOiKLjzb9vx25f39fs9IISQ8QgFEBkzWAkgfQeYFX6dAyRKYEL46EtgPpdD7hQLx+Iyn2OeA2TVBl/kccKpleE6tIWojV1B9IVjcNhtmF1TJK/tDcVkjkhRgGjcWgC1dKsCSOxAsyqB7W3pxYOv7sfd//yo3+8BIYSMRyiAyJjBKIC0GUAWJTA9wgHqCUVx5FhAu4+a2XHYbdLJKStwodDthIgTCZGSahK0y5nIHdlstkQZrFd93s7GbgDAjMpCeF0OFOo6wfTTpFMFoYUAqixWz2q1CuPIMbXEFojEEE8hpAghZLxCAUTGDEIMtHSHdWswBhJAqgMUiyt4bW8bAGDx5FL5deGslBa4YbfbpGASTk/yIEStBOYw/tUqNQ1D3KUJoLm1xQDUrjNAzQHpM0bhVAKoRzhAxhKY/jz1HYkt9v3liQghZDxCAUTGDMIB+uBoJ945eAwAUDdACazA7ZBdYi99pA4ePMFCAJUXqgLG71OFSqcWVE6aA2TRBg8kFqKKdRhCAM3TBJBo4deXwAAglKITTJbAtLJcwgFKnOdoR2LNBsPRhBBihAKIjBmEAGrsCqI3HMMp08txyvTyfp9js9mk+DjaoZbA9F1iohNMlLD8ZgdIEyhCRInH3U5jgFo6QFoGaKd0gNQOMDkMMWwsgaV0gJIEUP8OEHeEEUKIEQogMmao1nV8nTWnCg9fcwqcjoH/ExdlMEAVOtO0bi8gISzELB8pgEwZIDHtWZTAxCZ4eV/t6209YURicext7gEAzK1RHaBCt3CA0iyBpRJAOsfoqJZpAlI7SYQQMl7hHCAyZphU5sNnTp4Mt9OOb104X25IHwg116OKhRMmlxq2sPu00lKZqQQmhI5wVkp9LrT3hqVg8ZhKYCLr8/q+NlywsBbhWBwFbgcmafvFCj3qWTv6Iga3xioErShKIgMkBJD2XgNhfQksIYDoABFCiBEKIDJmsNls+OG/Lsr4eXoHSJ//ARIlsDJzCczsAGlfF5hD0J9YUIP/fGoH3tjfjjf2twMA5tQUw66VzkQIurEzaHielQDqDEQQialdXaJjTWSAQtp5orG4XAarPychhBCVrEpghw8fxpEjR+Tnb775Jm666Sb8+te/HrKDETJS+HUCSJ//AYC5NWpG5/iJ6rBCv8+YARICRZTABC6TAJpaUYh5tcWIxRX8+iV1MKEIQANAkVYCa0gSQMnCRZS/Snwu6XIJoSZKYM3dIbksVX9OQgghKlkJoCuuuAIvvPACAKCxsRGf+MQn8Oabb+Jb3/oW7rzzziE9ICHDjWhtB4ATJpUavvbtC+fjzVvPw8nT1DB1wgESJTBVcJSaBJC5CwxQXSAAOKitwJirE0AFWgmssStgeI5VBshc/gISJbBITEE0FjeUv/TnJIQQopKVAPrggw9wyimnAAAef/xxHH/88Xjttdfwxz/+EevXrx/K8xEy7IgS2IyqwqRSlt1uM+wTS2SArEPQAisBdP6CWsPnegEkOtGSHSALAWSaAg0Yp1YHo3HUUwARQki/ZCWAIpEIPB71H9/nnnsOn/zkJwEA8+bNQ0NDw9CdjpARQHR4LZlcNsCVCQeo2xSCLtHuIbASQMdP9GOCbi6R6AADgAK3dQbI0gHqTnaA9KHrYCQmp1rLx1gCI4QQA1kJoOOOOw4PPPAAXn75ZWzYsAErV64EANTX16OiomJID0jIcHP5yZNx9WnTsObjswa8VmaAAhEoiiIzN0kOkEX7vc1mk2WwyiIPKnQOTpFWAhMb6QXplsDsdpsUQcFILMkBCtEBIoQQA1kJoP/6r//Cr371K5xzzjlYvXo1Fi9eDAD4v//7P1kaI2S0UFfqwx2fPA7TKwsHvFYEpruCEYRjcYhl7elkgADg0hMnwWm34Zy5VYbHhQNkpt8SmGnTfWIYokUGiA4QIYQYyKoN/pxzzkFrayu6urpQVpYoG1x33XUoKCjo55mEjG6EA9RpmtdTOkAbvOCEyaV47ZsfT8oaFXqs/yqG++kC02eAALUVvjNgdIAqCt1o6w3TASKEEBNZOUCBQAChUEiKn4MHD+KnP/0pdu3aherq6iE9ICH5hFi30d4XRl9YzQHZbAlhJDC3weup9nuThjSKQYhm+nOAKk0OkE+3DkNMgZ5RVZjyPoQQMp7JSgBdfPHF+P3vfw8A6OjowNKlS3H33XfjU5/6FO6///4hPSAh+UR5oRt2G6AokC6Lx2mXbeiCVCWwVKR2gJKFS2tPKgdIPUNTVwi9WpZIlPXYBUYIIUayEkDvvPMOzjzzTADA//zP/6CmpgYHDx7E73//e/z85z8f0gMSkk847DaUF6rC43C7KoC8Lgc8LuNfpYwFkCkDJALNZucmGoujrVddqGrOAHk0AbS3Rd0zVlHolktYh0IAKYoy8EWEEDJKyEoA9fX1obhYbeH95z//iUsvvRR2ux2nnnoqDh48OKQHJCTfEMLjyDF1oKHX6Ri0AyS2wZtfIxwzCqD23jAUBbDbVDdKj1d7zfeOdAIAJpb55GODLYFd89Cb+NR9rxqmSxNCyGgmKwE0a9YsPPnkkzh8+DCeffZZnH/++QCA5uZm+P3+IT0gIfmGECcJB8gud3EJUoWgU1FkKoGJrJE5vNys5X8qijxw2I0b58U6jOd2NAFQ13d4dLmgbOkLR/HCrha8e6QTDZ2BgZ9ACCGjgKwE0G233YZbbrkF06ZNwymnnIJly5YBUN2gJUuWDOkBCck3RPbmSIfmALkcUmgIMnaATCFoIYCEA9TcHcTf36vHh/WdhjPo0btQy+dX4xsr5+lmA2XvALX1hOXHYgUIIYSMdrJqg/+3f/s3nHHGGWhoaJAzgADgvPPOwyWXXDJkhyMkHzE7QB6XwzCJGcjcAfI4HXA5bHLLe1WxWt4SpasfPLUDT26rTzqDntNnVeCl3S248dxZuOHsmbDbbTIYbbVUVRAIx+Cw21KKNpE5AtRN9IQQMhbISgABQG1tLWpra+VW+EmTJnEIIhkXVBap4kR0gXmddnicdti07jAgcwcIUIchCoEhHB4hgMyrLWZVFyU9/9+XTcMVS6caSmP64YhWHDnWh3+7fzMKPQ5suPls2E1lNQBo07rOAAogQsjYIasSWDwex5133omSkhJMnToVU6dORWlpKb73ve8hHue8ETK2Ee5LVAsEe10O2Gw2gwvU3xygVOhzQGJNhmiDFysy7rp0Ie6/8kR8+bzZlvcw54L06zHMhKIx3PjHd9DYFcTell654NWM3gFKdQ0hhIw2snKAvvWtb+F3v/sdfvjDH+L0008HALzyyiu44447EAwG8f3vf39ID0lIPpG8gkIVGR6nQzot5pJYOohOMK/LLucChaQAUrM3s6qLcPK08rTvmSiBJf8fk+/9fTve1TrGAOBYX0S2zesxZoAGFkDhaBz7W3sxp6YINluyo0QIIflAVg7Qww8/jN/+9re44YYbsGjRIixatAhf/OIX8Zvf/Abr16/P6F733Xcfpk2bBq/Xi6VLl+LNN99MeW0kEsGdd96JmTNnwuv1YvHixXjmmWcM19xxxx2w2WyGP/PmzcvmbRJiSXWKHVz6TrBsSmBC9Pi9LimgxCoM4QD5XNYTo1MhzmR2gLYcbMcfXj8Emy0h1jr6wknPBzIvgf3XMzux4qcvYeOO5ozOSgghI0lWAqi9vd1SVMybNw/t7e1p3+exxx7D2rVrcfvtt+Odd97B4sWLsWLFCjQ3W//D+e1vfxu/+tWv8Itf/ALbt2/H9ddfj0suuQRbt241XHfcccehoaFB/nnllVcye4OE9ENVkdfwuei+8urESTYlMLEOw+9zSQElnJuAJoBSTYxOhVi5YXaAth7qAACcv6AGs2vUPFFHn7W4ae/NzAHa2dgFADjU3pfRWQkhZCTJSgAtXrwY9957b9Lj9957LxYtWpT2fe655x5ce+21uOaaa7BgwQI88MADKCgowIMPPmh5/SOPPIJbb70VF1xwAWbMmIEbbrgBF1xwAe6++27DdU6nU4a0a2trUVlZmdkbJKQf/D6noctLuCz6NvSsHCBtGnSx16lzgOJQFAW9WgnMPDBxIMTZzPOExLTouTXFKPWpZa9jKRyg1gy7wETJzDzEkRBC8omsMkA/+tGPcOGFF+K5556TM4A2b96Mw4cP4+mnn07rHuFwGFu2bMG6devkY3a7HcuXL8fmzZstnxMKheD1Gv/ft8/nS3J4du/ejbq6Oni9Xixbtgx33XUXpkyZkvIsoVAIoVDC5u/q6krrPZDxic1mQ2WRG/WdQQAJ50e/DiPTNnjAWAJz6wRQKBqHGMCcuQDSusBMDtDell4AwMzqIuxrVT8+lsIByrQEJkLTES5gJYTkMVk5QGeffTY++ugjXHLJJejo6EBHRwcuvfRSfPjhh3jkkUfSukdraytisRhqamoMj9fU1KCxsdHyOStWrMA999yD3bt3Ix6PY8OGDXjiiSfQ0NAgr1m6dCnWr1+PZ555Bvfffz/279+PM888E93d3SnPctddd6GkpET+mTx5clrvgYxf9EFoMQRR7wC5HJmHf/UlMH3pSuR/ALVVPhNSdYHt0xygGZVFKNOCz50pHCBDCSzY/yDEeFyR10foABFC8pis5wDV1dUldXu9++67+N3vfodf//rXgz6YFT/72c9w7bXXYt68ebDZbJg5cyauueYaQ8ls1apV8uNFixZh6dKlmDp1Kh5//HF8/vOft7zvunXrsHbtWvl5V1cXRRDpF70Akl1g2v+6Hfasup9SlcBEB5jHaU9qcx8Iqy6wzr4IWrUy1YyqQpQVuABYO0CKohi6wAZygLqCEbkvLEQBRAjJY7JygIaCyspKOBwONDU1GR5vampCbW2t5XOqqqrw5JNPore3FwcPHsTOnTtRVFSEGTNmpHyd0tJSzJkzB3v27El5jcfjgd/vN/whpD8MAsgUgs4m/wMA5x9Xi3m1xfiXhRN0IeiYdIAyLX/pzxaLK9KR2duquj8TSrwo9Dhl67tVBqg7FDVkeQYKQbfqxFIkysWphJD8JWcCyO1246STTsLGjRvlY/F4HBs3bpS5olR4vV5MnDgR0WgU//u//4uLL7445bU9PT3Yu3cvJkyYMGRnJ6SySO8AaRkgTbRkK4BOmlqGZ246C6fNqjQ5QEIAZW7Y6nNJogy2t1krf1UVAgBKNQfIqgusvccoigZygPTlMpbACCH5TM4EEACsXbsWv/nNb/Dwww9jx44duOGGG9Db24trrrkGAHDVVVcZQtJvvPEGnnjiCezbtw8vv/wyVq5ciXg8jq9//evymltuuQUvvvgiDhw4gNdeew2XXHIJHA4HVq9ePeLvj4xdrEpgQghlk/8xo2+D7wtl1wEGGAcyiiGNMgBdpba/iwxQRyDZAWrrVQPQQiSFovF+N8vrA9NhhqAJIXlMRv+X8tJLL+336x0dHRm9+OWXX46WlhbcdtttaGxsxAknnIBnnnlGBqMPHToEu133D3gwiG9/+9vYt28fioqKcMEFF+CRRx5BaWmpvObIkSNYvXo12traUFVVhTPOOAOvv/46qqqqMjobIf1RZeEACSGUrQOkR4Sgo3EFPUIAZTgDCIBc0RGKxuVC1EQA2ugAHetNdndE/mdqeQE6A51QFDXn400xkLGNDhAhZJSQ0b+oJSUlA379qquuyugAa9aswZo1ayy/tmnTJsPnZ599NrZv397v/R599NGMXp+QbLB0gDTRkk0LvBm9iBKlqYIMp0ALhABKOECqAJpZbXKALDJAQtBUFnng97rQGYigKxBBdbE36VrAuDaDc4AIIflMRgLooYceGq5zEDKqMLTBO41zgNzO7ISKHn3pSoSTRZt8pnhdDnQFowhGYojE4jjYpk5onqGVwIQD1BuOIRyNG8SXKGlVFLnh96nb6vvLAbX3Jkpg+egAPfrmIUwo9eHsOXSECRnv5DQDRMhoxRiCNjtAg88AOe02iE560Z7uyyIErZ4v0Qp/uL0P0bgCn8uBCX7VxfF7XRDd9WYXSDhAFUUelPhUodQVSD0LSD81Ot8yQIfb+/DNJ97HVx/fluujEELyAAogQrKg0OOUoWTPELXB67HZbLKUJkRJYRYhaPVciXUYIgA9o6oQdk312O02KW46TO6OKGlVFLrlNf06QPo2+Fh+tcHXdwQAqK360Tx0pwghIwsFECFZ8tnTpuG0mRWYU1MMQF8CG5q/VqIMJkpgviwFkBBowWhM5n9E+UsgckDHes0OkK4E5h1YALXpSmD5lgHSzygaaKI1IWTsk/UkaELGO99YOc/wuXBIij2uIbm/miWKyhB0YdYlMOEAJfI/07UOMEFpimnQCQdIXwLrLwOUvyUwvTjr6AujvNCdw9MQQnINBRAhQ8QnFtTgK+fNxqqF1pPMM0U4QB0yA5R9CBpQHaBWLdRcrQtxA5DToFNlgMrTKIHp94AB+ReC1jtA5lIfIWT8QQFEyBBR4Hbi5k/MGbL7mUtg2WaAEgtR47Krq7LI6H7IadA6YaAXNJVFHviFAxS0Fg8dgYjcWg/knwAybLW3mHpNCBlfMANESJ7iNjlA2azCABLb6kORmBQ0FUVGB6jMYh+YfrFpeaFbCqBUDpBeYAB5WAIzOEDJM48IIeMLCiBC8hS5D0xzUgqynQMkQ9BxQ1eXHrERvkM3DVqUjIq9Trid9gFLYG2mAHW+dYEZM0B0gAgZ71AAEZKnmLvJstkFBiS607oCEXRrazUqCq0zQHoHSOSFhFjye53afaKo7wjgxj++g/eOdMjrhbgq0lZ25FsXmMEBogAiZNxDAURInuIxTZTOtgQmHKCGziAAdcii32e8l1UG6KOmbgDANK1jTO8A/XLTHjz1fgPWv3ZAXi+mQNeWqAMW860E1qLPADEETci4hwKIkDxlqBwg0QZ/9Jg6CLCiyA2bzTit2mof2HtHOgEAiyaqOwD1bfDP72jWrk8umU3QBFA+haBD0Ri6dbN/KIAIIewCIyRP8SQJoCxD0JoDdFSbhGwufwHWc4A+OKoKoOM1ASRC0N2hqCyl6WcCiYB1rT//BFC7KZ9ktfiVEDK+oANESJ4y1A5QY5daAqsoSh4AqHeAFEVBMBLD7mZ1avTCSUYHSI/eSWkzlcAiMQWKkh9BaH3+B+AcIEIIBRAheYvZAcp+ErQqnERLu7kDDEgIoEhMQV84hu0NXYjFFVQWeaSj43LYk0SYQQBpIqNGux7InyB0q6lFn3OACCEUQITkKWYHKPtdYMb7mGcAAapL5NYNXnxfy/8snOg35IXEPjCBfiiiaIMXGSAgf1rhhTgTE7DpABFCKIAIyVPcjoTgcTlsWS9ZFQ6QwKoEZrPZErOA+iJ4/6gQQCWG60QZbHK5D4A6XToUjQHQZYD0AihPOsFEeW6mtgS2oy+MeDw/xBkhJDdQABGSp4j5PQDgc2Xn/gCJDJCg0iIEDSTKYLubu5MC0AIhgC5ePBHCGOoKRBGLK3KGUFWxB3bta/lTAlPPNrNabemPK0BPmBvhCRnPUAARkqe4HYm/noWe7Bs2zfOEUm1BXz6/BgDw/ad2ygD0okmlhms+c8pknDilFFeeOgXF2pk6AxF0BiIQeeeyAjdc2tnTnQWkKAq++b/v4bt/+zCt6zNFZIAmlhZIQcgcECHjGwogQvIUgwOUZf7HfB/AugQGAGs+PguzqovQ2hOSAegav9EtuvTESXjii6djQonPsBtMDEH0e51wORJ5onRb4Xc0dOPRtw7joVcPyJLaUCJXgBS5UeoTHW8UQISMZyiACMlTDA5Qlh1gQHIGqNIiBC2uu+eyxXBo9StzANpMiW47fLu2Q0y4S+Ls6ZbANu9rkx8HwsMggDSBVlnk1k295iwgQsYzFECE5CkenXAZjAPkdQ4cghYsmlSKm5fPBgB8XCuJpUI/GVo4QEIAiRJYJJpe0Hjz3oQA6hukAIrE4ugNGfM9iSWwHnluOkCEjG84CZqQPMWjc4CyHYIIGEtgXpd9wInSaz4+G5edPBlVKZwigWiJ7wxE4LSrryEdIGf6DlAsruCN/XoBNLhw8mW/2owDrb145RsfR6HHCUVRDCWwgbbaE0LGB3SACMlT9G3vQ1UCs1qDYUV1sbff8hcwkAOkPjedDND2+i7Dnq7BOEA9oSi2HurAsb4IDrT1AlBXdwghVlnkkSUwCiBCxjcUQITkKfoBhoMrgSXuU9lP+StTSgr0IWhVTJSZSmDpdIFt3tdq+HwwAuhAa6/8WHR5tXar4qzI44TX5UCpxeLXfEFRFHxY3zksOShCiBEKIELyFKMDNJgSmM4BGqCslQl+r+pKdQWi0gGqMJXA0nGA9PkfYHAh6INtffJjsdhVTKgW2ad8zgC9uqcNF/78FXz7yQ9yfRRCxjwUQITkKfr5Pb7BlMB0QirVDKBs0Gdp2jUxIYYpii4wIYAeenU/nn6/Ieke0Vgcbx04BiAhqHoHkQESZS8AcjBjW49RnCW6wPJPAL1zSP1evHekI7cHIWQcwBA0IXnKUDlATocdTrsN0bjSbwdYpujnAPVoXVfmLrBQNI6jHQF892/b4bTbcPrMSlk6A4B3DnWgJxSF3+vECVPK8NJHLYMqge3XlcBEiatVBqBV90vMAcrHQYji/Ifa+6AoyoA5LEJI9tABIiRPGaoMkP5eqdZgZIPfMAdIFRlSAMkSmCKFRjSuYOPOJvn8YCSG72ilnvPm18jJ0oMpgR0wCCCtBKYJIJF/yuc5QPta1AncoWgcLd2hAa7OjENtfXhk8wEEI8wXEQJQABGStxgcoEGswgASnWBD6QAZSmAmAaQvgQUiiZLWMx80yo9/8PQO7GrqRmWRB7deMF+KvMGVwKwyQKIE5jGcO98yQIqiYF9LQsAdbO/r5+rMuesfO/Cdv36IjTuah/S+hIxWKIAIyVP0Amgwc4AAvQAaOgdICInm7hACmquQmAOklm7C0bihpPXiRy3oDUXx3PYm/H7zQQDA3ZctRlWxR77HbB2g7mBE7vwCEiUw/Qwg/bk7AhEoSv5shG/tCaNbN8DxUNvQCiAREBeBdULGO8wAEZKneAwCaHB/VRdPLkFHXxjzJxQP9lgSMQhRtLq7HDYUaU6VS+8A6QRNKBrH428fxs837gYAfOGM6Th7ThWAxHvMNgN00CQYRMi5pUeswdAyQAWJcwcj8UGXF4cKUf4SHBpiB6i5OwhA/RkQQiiACMlbhtIBunf1iQhGY4MWUnr8PuO9ygvdMrSr3wUWMGVO7vz7digKcFydH19bOVc+Lt5jtgJIBIhF4DupC0xzgIo8TjjsNsTiCjoDkfwRQLr8EgAczkIAHW7vw8827sZ1Z83AnJqE2I3G4nIcADNAhKiwBEZInqJvgx+sALLbbUMqfgD1fF7dmg3RAg8kQtD6Elh1serAKArgcznw89VLLN9jtqswDmot8PMn+AHoQtC9IgStvr7NZkOpVgY7lkfDEIWAE9+nbDJAv998AP+z5Qh+v/mA4fHWnjBEtS8YoQNECEABREjeMpQlsOFC5GkAY8DabVECO2V6OSaV+QAAd3xyAWZWFRnuZS6BbTl4DBff9yq2HDwmr9nX0oOPmrotz7K/VRUMJ0wuBaBmgMLRuBRCFboZSEIMDXWn1WAQJTBREsymBPbB0S4AwLFeY8BblL8AOkCECCiACMlT3EO0DHU40QsggwMkd4EpsgRW6Hbi4c+dgoeuORmXfWxy0r3MIei/vVuPdw934Il3jgBQyzj/ev9r+NR9r6I7mNzBJYYgCgEUV4BD7epjdhvkCgwAqC3xAgAaO4PIF0QH2DlzqwGo4iyTQLiiKNjeoAogc4t/U1dC6DEDRIgKBRAheYrdbsPCiSWYUOJFtX/oureGEhGEBoxTpt2GEpha0vK5HZhZVYRz51ZbDvjzmUpgXVqIuUETKc3dIRzri6AvHMOuxmQXSMwAmltbLMXUnuYeeTaHPfGaEzQB1JAnAigSi0vHZ8mUUhRrU7EPH0vfBTraEZALXs2LXukAEZIMBRAhecwTXzwNL9xyjiErk0/oHSC9AHLpQ9Bh1XEYyMUqNJXAujSXp74jAED9BS/YZSqDdQUjMuszrbJQulFCAFWYBkBKB6grgHzgcHsfonEFPpcDtX4vppQXAEjubOuP7fVd8mPzjKNmnQMUpANECAAKIELyGpfDLmf45CMDCaBINDEI0TfA+/CZusC6AurzhACq1wsgkwN0UMv/VBZ5UORxynMJAVRZbBwAWesfOQforQPt+Nqf3zXMKDIjyl/TKgtht9swtUIVQJnkgET5C6ADREg65GeykhAyKvCnEEAe3TZ48ft2oHZzcxu8+CXeFYyiJxTFkWOpBdB+Lf8zTRMOZYWaAGoZwAEaAQH084278fLuVricdvzgkoWW14gOsBlVhQCAyZoDlEkr/Ic6B6g7GEUsrsiyXzMzQIQkQQeIEJI1BgFUYF0CE4JmoE42cxt8ly7o3NARMDhAHzV1G6Y4i/zPtEpVQIjA895m9XHzCpAJJWo3WmPX8AsgIdz+Z8uRlF1nQsDN0M4vSmAZOUA6AQQkMlSAmp8S0AEiRIUCiBCSNYYSWJGFAIomusB87v7/uRECKRCJQVEUQxnnaEfAkAE61hcxiAnRATZdExBl2rRn8dqVRdYOUEdfZFDLVwciHldwVBNA4WgcD792wPK6Y1p+qUqbAZTIAPVaXm+moy8svz+iA6/DIIASQi9EAUQIAAogQsgg8HsTro7eAXI7k+cA+VzpOUCKAvSEooaJ0PUdQYMDBBiD0NIBqtAcIJ/R8dHPABLnFq83nC5Qc3cI4Vii5PT7zQfQE0oe9CgeE6tEhAA6fCy9kLbI/0wu96G6WBV3QkDG4opBLLIERogKBRAhJGsMc4AKk+cA6SdBD9QFpg9JN5lESX1HQDopc7UVD/ockNgCL8LDYt+XwLwE1mazSReooXP4OsGOaG3sE0t9mFFZiK5gFI+9dTjpuu6gUQAJAReOxuWutf4Q5a/jJpTIsqRcBtsbQly385UlMEJUKIAIIVkjBFCx1ynLXoBpErQsgfUvgOx2mxRB5u6snY1d6NWE1Dnz1EnJQgB1BiJo17XAA8ahjEByBghIzAIaziC0yP9MKS/AZ05Rhz++ub8t6TrpAGmOmv57lc5qECGAFtT55ZoP4QDpA9AAV2EQIqAAIoRkzeyaYhS6HThxSpnhcesS2MDt/MIlMgugt7V1GBWFbpwwqRRAogQmcjJVxZ6Eg2JygKqKkgdJ1vjFLCDja8X1dskgEQ7QpDIfarXgtXlGDwD0aA6QGCzpdtrh1Dq40lkOKxapzqkpkqJUhKBF/kd05gWjdIAIASiACCGDoLzQjddvPQ8PXn2y4XHhBoV0k6DTWechnI8mkwASoqGu1Ic5tWoJ7KOmbsTjimwhn67lfwDj2gsgfQcoEI7h/J++hE8/8JqhyyxdOgMRnPPjF3DbXz8AkHCAJpUVSGFintEDJGeAgOSxAAO9LqCW+kpkCczoAIlcUYgOECEAKIAIIYOk2OsyrJkAdIMQMyiBAToHSHNlJpb6DF+fWOrDtIpCuJ12BCNxHD7WhwOtxvwPkOgCA1TnyaoFXzgyerdp065m7GnuwVsHjqErmPlW+veOdOBAWx8ee+swwtG4XGUxqcyX5MwI4nElqQQG6Lri0hBAIu9T6nNJ90uWwLqNAigYjWUl7ggZa1AAEUKGHLdTFUSBcAyRmPrLtmCALjAg8UtfuDKza4qg11Z1pT447DbMrlY3yb97pFO2wIv8D2DMAFm5PwAwwZ/sAD31foP8uDmL7jAx7TkUjWNHQ5d0gCaXFyRlcwS9uoyPtQPUvxCLxxMjA0oKXIkQtKkEJoYrKgoMnWmEjFcogAghQ47bof7y1rsomThAQpSUF7plWzcATCxTXZuz5qhB6P/dciRpBhCgDmgU+1bNHWCCWtNC1GAkhud3NsuvN3WlXl2RitbuxBb2tw8ek637egeoNxxDRCdARAeYy2GTOR1AtxpkgK6t7lBUdnmVWDhATaYSGMBWeEIACiBCyDDg0hwgUdpx2G2yNb4/zLN5Snwu1JXqBJD28WdOVjuqXtrdgh3aDJxpugyQw26TgeLKwhQOkCaAWntCCEfj2LSrxZC3Mbfip4N+39ezHzQiElPgtNtQ4/capmbrXSB9/sdmS3yPpAMU6l8AifJXgdsBj9ORyBr1GUtgE8t8UhSyFZ4QCiBCyDCgb4kHgAKXw/DLPRWiBCba2v1eF+p0OaCJpaqLMbWiEGfMqoSiJNq69RkgIJEDSlUCKy90y3b95u4gntaVvwCgqTtzAdSiE0BvHmgHkCjbOew2FGslLr0AkjOAvMYSofheDFQCE2FnUWITM4TEa7RoQq7G74XXqYoqBqEJoQAihAwDbpMA8qZR/gKSO8VUByghgPRu0OpTpsiPq4s9KPQYBUSJlgMyr8EQ2Gw21JSoXzvQ2oeNO5oAAKfNrACQ3ImWDq094aTHJpUlzu+3yAEJB6jYY2zdF9+LwABuTYfM/6jvV3aBBcKIxOLSAarxe+Bxaa3wGThAHxztlJ12hIwlKIAIIUOO22lygNIUQOackN/nQp1WqvK67IaN859YUCNXXOgD0IJyzQEqT1ECA4AJflWcfPGPW9AbjmFiqQ/nL6gBkG0GKPk5k8sSzpQ5nwMkZgCZHSBfmm3w+g4w82scbOtDNK6gwO1Ard4BSjMDdKw3jEvvfw2ffmDzkM5HIiQfoAAihAw55hJYOkMQgWSh5Pc6MVETEHWlPkMZze204zItC7Rggj/pXp/+2GQsnlSCT2iCxgrhKHUFoyh0O3DrBfNle3w2JTCRATp+YuI8egfIqhW+J6R+XOwxl8DSE0BCTAnhI1ymYCSOD+s7AQAzq4pgs9ngzdAB2tHQhXA0jtaekBxNQMhYYeC+VEIIyRCzA5ROBxiApHk9JT4XFk0qxYWLJkhnRs9Ny2djRmUhls9P/toFCyfggoUT+n29L5w5A9G4glNnVOBTSyaiyOPE1kPq1GnzComBiMcVmV36xPxafHBUDWdPKk8WQBllgCyWp+qRGSBNABV7nLDbgLgCbD3UAQCYpY0N8GgOULrrMHY398iP9zb3JM1lImQ0QwFECBlyzB1f6ZbAkhwgnws+twP3XXGi5fUepwOf/tjk7A4J4PiJJbjXdG+xIqO5O4h4XIHdPnB4G1BFTVQrEy1fUI2fPPcRAHUKtMA8pRmwngINJFyzgdrgxb1KtPCz3W6D3+dCR18Ebx9Ug9hCAGXqAO1uTiyc3dvSI8cPEDIWYAmMEDLkuOzmElh6/1/LKgQ90lQVq8HoSEzBsb7kUHMqRPmrxOfC/Fo/JpX5UOh2YFZVkbwmEweo0KOFoAfKAAW0DJBu+rXIA+1oUAXMTO0MHldmGaDdTQkHaI/ODSJkLJBzAXTfffdh2rRp8Hq9WLp0Kd58882U10YiEdx5552YOXMmvF4vFi9ejGeeeWZQ9ySEDD12u00u8wSyL4H5cyCAXA47KrXW+UyC0KIFvqLIDbvdhsf/Yxn+70tnoEwXwi7pJwRtzgD50myD7zS1wQMJoRXTHKmEAyRKYOk5QHrRs7eFAoiMLXIqgB577DGsXbsWt99+O9555x0sXrwYK1asQHNzs+X13/72t/GrX/0Kv/jFL7B9+3Zcf/31uOSSS7B169as70kIGR70OaCCLELQDrsNhWkKp6FGTJ/OJAgtWuBF231dqU86LwIrByhVCUx8zwbsAjOFoIFESzwAOO02OSMpk43wbT0htPUmHLC9LaO7FT4Q5g40YiSnAuiee+7Btddei2uuuQYLFizAAw88gIKCAjz44IOW1z/yyCO49dZbccEFF2DGjBm44YYbcMEFF+Duu+/O+p4AEAqF0NXVZfhDCBkc+k6wdB0g/XV+rzOt4YnDQY1fFTGZzAISLfBVKeYOASlKYGIOkDfFHKA02+BFBkj/OoA6IkD8LIQDlM4gROH+iFEDLd0hy032o4GGzgBO+s8N+Orj7+b6KCSPyJkACofD2LJlC5YvX544jN2O5cuXY/PmzZbPCYVC8Hq9hsd8Ph9eeeWVrO8JAHfddRdKSkrkn8mTsw9VEkJUshFA+hJYLspfArEnLJMSmMgAVaaYPA0gaU0FAPQE1Y9TzQHqzbANHjCWw8TiWADwZuAAiQ6wxZNLpSDcN0rLYDsbutEXjuGN/e25PgrJI3ImgFpbWxGLxVBTY2xframpQWNjo+VzVqxYgXvuuQe7d+9GPB7Hhg0b8MQTT6ChoSHrewLAunXr0NnZKf8cPnx4kO+OEOLJogRWaHCAcieA+iuBxeMKVv/6dXzy3lcMWZqEAMrMAUpMgjaHoNXPA/1kgBRFSWqD178OkMj/ANBNgk7fAZpdXSRLeaO1DCbKiG29mQ+3JGOXnIegM+FnP/sZZs+ejXnz5sHtdmPNmjW45pprYLcP7m14PB74/X7DH0LI4NC3wmdTAstFB5hAtsJbDP/b29KDzfva8N6RTvzpzUPy8TaRASpOLYDMe7qAfiZBp5EB6g3HZOt9mS73oxdDswwOkCiBpeMAdcvnJwTQ6HSAejURGYzEBwyVk/FDzgRQZWUlHA4HmpqaDI83NTWhtrbW8jlVVVV48skn0dvbi4MHD2Lnzp0oKirCjBkzsr4nIWR4GHwJLHdjymQGyKIE9taBY/Lj+zftlS5QJg5QIBJDWGtF704Vgk4jAyTyPx6nXeZ7AGP5UB/E9mbQBi9a4GfXFGNmlbpqZLS2wuu/h20W+9rI+CRnAsjtduOkk07Cxo0b5WPxeBwbN27EsmXL+n2u1+vFxIkTEY1G8b//+7+4+OKLB31PQsjQYugCy2IQYj44QE0WDtDbBxI5kubuEB7VXKBEF1jqDFCx1wmR6+4MRBCPK4kusFSToCOpu5esyl9AIgNksxkFkOwCS+EAvby7BZf/ajMe2XxALlGdVV2EWdXFAEa/AwTA0NlGxjc5LYGtXbsWv/nNb/Dwww9jx44duOGGG9Db24trrrkGAHDVVVdh3bp18vo33ngDTzzxBPbt24eXX34ZK1euRDwex9e//vW070kIGRkMDlCagxA9TjvE+KCcZoA0B6i1J4RozOiWvKVNV155nOoq/1JzgVrScIDsdpvM+nQGwpq4Ub9m3gYvXLNYXEE4Zu3YyAC0zyi6xDDHqeUFBvdtoDlAj751GG/sb8d3/vohAKCuxIsijxMzq1UH6FBbHyIpzpLP6B2gduaAiEZOV2FcfvnlaGlpwW233YbGxkaccMIJeOaZZ2SI+dChQ4Z8TzAYxLe//W3s27cPRUVFuOCCC/DII4+gtLQ07XsSQkYGdxYlMJvNhgK3Ez2haE67wCoKPXDYbYjFFbT2hGVXWGNnEIfbA7DbgLsuXYj3jnSgvjOIB1/dL0ta/QkgQB2G2BWMojMQQZEmepz2xKJSgd4N6wvF5B4vPXINhskBWjypFOtWzcMJk0sNj4vXSFUC6zK1uc/XlszW+r0ocDvQF47hQGsvZtcU9/se843ekD6sTgeIqOR8F9iaNWuwZs0ay69t2rTJ8PnZZ5+N7du3D+qehJCRweVMhKDTLYGJa3MtgBx2G6qLPWjoDKKpKygF0Fta+WtBnR9lhW5cd9YM3PG37fjlC3sBqF1sA4m9Up8bhxFAZyCCEl+iBd4888jlsMPtsCMci6MvEkOZxb3Eqo5S0/fKbrfhP86emXS9ZwAHSDhKP/q3RegKRHCetmTWZrNh4cQSvLG/Hf/c3jTqBFAgkiiBtbMERjRGVRcYIWT0YHCA0myDBxJiye/N7f8/E2Wklu5EyUTkfz42tRwAcPnJU1Be6JY5nv46wAT6Vni5B8xj/V59Mght3blkNQOoPxIZoP4doOmVhfjCmTMwvbJQfu0ybenso28dQjw+uiYq6x2gth6WwIgKBRAhZFjIpgsMgNydVZWGmBhORFu5fiGq6AA7eZoqgHxuBz67bJr8+kDlL8A4DDHVGgyBEIOpWuFFF1hpQergtR6ZAUoxCFEIKqsA+oWLJsDvdeJwewCv7GlN6/UA4MixvrR3jw0X+u8fQ9BEQAFECBkWXFl0gQHAbf+yAN9YOQ9Lp1cMx7HSprzQKIC6ghHsbFTX5Jw8LVGQumrZVPn++usAE4jSXkcgkliEmsLt8g0ogFILFiv6W4WhKAq6tPNYBdC9LgcuPXESABjmH/XHwbZenPWjF3D9H7akdf1woZ/9wxIYEVAAEUKGBY9DPwk6/XLWkilluOGcmXDYc7MHTCAcoPZeVWR8cKQTcQWYXO5DtT+xkqes0I0rl04BAMwwLT+1wlACS9MBSjULyGoRan/0twy1NxyT2+NTCarPnKKWwTZsb0JzGotiP6zvQlxJzBTKFX2cA0QsoAAihAwL+hKY1z36/qkpL1RFwDHNMWjQFqNOqyhMuvbrK+fh3iuW4HqL4LEZIVYMGaAULf9iFlBvqgxQn3UbfCr6c4BE+cvtsCd1pAnm1fpx4pRSROMK/rq1fsDXE3OURKkvV9ABIlaMvn+VCCGjAtEF5rDbDIHo0YLIIrVrJbD+Jj27HHb8y6K6tEpR4pouXQks6wxQQGSA0i2BpR6EKALQfl9yR5qeFdr8oy0Hj6W8RiAmafeEoimHOQJAOBof1mC1/vvX2hPq9yxk/DD6/lUihIwK3A71l3eBy9HvL9R8pUJkgHrNAig9tyUV+hJYT0gTHSkyQAOWwDLNADlTr8LolAKo/3stmlQKAHjvSMeAryccoFhcSdl51tYTwmk/3Ihrf//2gPfT81FTN778p62o7wgMeK1eAIWi8X73q5HxAwUQIWRYEA6QN4MAdD4hM0DSARKrLgbXnWYUQAO0wWvZqb5wDAfbenHH/32Io9ovfEVRMs8ApeMADTCB+/iJfthsQH1n0DAiwAr9KpFUZbBX97ahtSeMFz9qSZq63R/3Pr8H//duPda/diDpa72hKD5q6pafmxegsgxGAAogQsgwIcpemXSA5ROiC6w9yQEaGgHU0h2SDo55D5igQDcH6Hev7Mf61w7I3WPBSFxOn87UAYrGlSSx0V8LvJ5irwsztPlA7x/t6PfadATQO1opLRpXZM4qHbY3qB15eqEjuPmxbTj/Jy/hw/pOg/sk5lG1chYQAQUQIWSYECHoTIYg5hMiA9QZiCAaiyccoEHOJ5pRVYgSnwvH+iLYuLMZQHoZoP2tvQASTpQQLA67LeXzzeg3xpvLYOmWwAB11QYAvHeks9/rRAYIgMw7mXnnUCJLdKi9b8DXBtSS4D5tMatVh5lY2rqnuQcBnds1qcwHgA4QUaEAIoQMC2IbfCZDEPMJsV5CUVRxIFwDkQ3KlgK3E2s/MQcApIOTag5QogsshsOaOBClKr1jk27GyqObzWQug4kZQCW+gcXUwkklAID3+xFAPaGowfXpDkWSrglGYthe3yU/P9iWngDa1dQNkZk+2hFIcpfEe+kKRGT5y2YD6kpVAcRWeAJQABFChgnXKC+BOR12WQ5q6w1L12AoJlRfuXQKZlcnZgYVeVK1wavfu95QVGZ/Oi0EULrYdR15QZMD1JXB/RZpAujdI50pO6qau4zlLCsH6L0jnYjqur8Otvcavt7SHcINf9iCFz9qMTyuF02A6vTo6Q4mvkd92hqMApcDFVqAndOgCUABRAgZJoTbIFyM0YjIAe1r6ZFDAssH6QABqri67aIF8vNUGSDhnu1v7UUkpr6+WQBlujQ2VRA63RA0ACyYUAKH3YbWnhAau6xzO+bHrTJA5lb6w6YS2IbtTfjHB4342XMfGR7f3mB0nnbrckDhaFxmfjoDEdnxVeBxyvwW94ERgAKIEDJMfHxeNc6aU4UrtCnJo5EyrbvqIy1nUlbgMgx4HAxnzq7CdWfNwJmzK7Fggt/yGuEA6YO+XUGTAMpwaazHaT0MMRNHyed2SAfr3cPWZbDmLqPIsBJAIv9z6gx1t5q5BCbWkHxwtAsh3fRq4QAJQbNb5wAJ9wcQAkh93QK3IynYTsY3FECEkGGhrtSH33/uFJw7tzrXR8ka8QtTCJDBdoCZufWC+Xjk80tlXsqMEED6wPJgSmCAbhhi1JwBysxREkHoVJ1gTQM4QIqiYKsmgC5ZMhEAcKitz1BSE2cKx+L4UBM9sbiCnY3qz+OixRMAmAVi4nU6+nQOkNsp81ssgRGAAogQQlIiZgGJjMlQC6CBsCofdgUiiMeVQQggbSO8qQSW6f1EEDpVJ1iT2QEyZYAOtfehtScMt8OOlcerQqY7FJWjAYBEWQ5ItMsfbOtFXzgGr8uO8xeoU6n1nWD9OUCJDBBLYIQCiBBCUpLIAKnh3IpBToHOFKsAeVwBesLRjELLeoQDlKoElk4GCAAmlxcAQMphiMIBKtZa9M0O0NZDHQCA4yb6UeJzocavisuDuhxQp04AievF/J+5tX7Mn1AMQO0E6w2Jzq+o4fkJB8iB8kL1Ndpz2AX20kctaOgceHo1GX4ogAghJAViFlBYGxo40g5QqhECnX2RrAWQzACZS2AB0Qaf3v1E6353ivk+QgDN0LJCVg4QAMytUUXM1HJ1uOLBtkQnmF4AibyQyP8smOBHaYFbduUJl07vAHUFIujVCSBRAmvtDedkH9i7hztw1YNvYu1j72b0PEVRBpy6TTKHAogQQlJQXmB0fIaiBT4TUnXQdQYig88A6RygcDQuBwamez+/FEDJ830AoKlbFUAzq1Rh021ygESpS4hM4SgdarN2gBo6g6jvCMgs0II6NTguwtgiB9RlKoEFZAnMKR28cDQuhdFw8OTWo3jmg4akx0VY+0hHevOOBD9+dhdO/v5zeHVP65Ccj6hQABFCSArKTC3vg12EminmEli1JsC6BiOAnMkZIL1oSNWSb6ZYK5VZbXpXFEVmgGZWWTtAcpO9dv6pFZoA0pXAhCvlcqiDHn/78n68oomAxVoGaY7mIO2WDlDidXrDMXmPArcDBW6nDJx39A1PGawzEMHax7fhS3/amrTEVrhinX3WojEVH2iib6DJ2yQzKIAIISQF5YVGcTHyIeiEAPJ7ndIl6QpmL4DEHCCrzrJirxMOe3pTpUUJLK4gyU3p6IvIKdfCATJngIQDJBa5CgFklQE6eZraJv/gq/sRiyu4aHEdFk5UBdAszQESs4D0wWkAcr+Y+F4K5yrVbrLB0toTQlwBIjElabBjo3aW7lAU8Xj6JTjxntoZ3h5SKIAIISQFIjQryGUX2JSKAvnLW18Cy3QQoqUDlGEAGlB3vAmxZC6DifJXeaFbfg97kwSQ5gBpZcYpphJYPK5IZ0o/SmFqRQF+cMnxcv2HeJ4QOl0mp0kEjsX3UuxNS5VdGiz6GUMHWk0CSHOAFC3Ini7i+8D2/aGFAogQQlJgzgANdhFqpjjsNlmymVxWIN2ewWSAPFobfHtvGF94+C3c889dWd3LZrOlDEILp6O62JMQHKkcIO01hZBp7AoiGImhOxSFqKydN78adptaCrt39Ymy/AYkRKnY1dYV7N8BEs9NlV0aLHoBtL/VmPXRrwcxO1X9Icp4HOA4tIzeGfWEEDLMiJKQWIMx2EWo2VDgdiAcjWNKeYF0bZq7QrKElfEqDE1Q/eH1g+gNx/DCrhb856eO1+6V2a8Ev9eFjr5IkpgQU6Br/F4pgJIzQKIEpn5PywvdKPI40ROK4sixgDynx2nHjKoirL/mFBR5nXL+kKCyODHdORZXksSYdIA8I+MAHUvDAQI0UVOW3j3F95cCaGihA0QIISmw221yHUaxxymHCI4kBdprTi5POECHj6nOgs2WmLOTLuI9iNxOLK7g+Z3NADJ3k4QDpJ+9AyRclxq/R4aqA5EYoto4gXhckSUw8f212WxyFlBzVzDJlTprThVOnJKsGMoL3LDZ1CxSe284yVkR3W7i+zhQ+/5g0Zep9uta+qOxuKGV3exUpSIYiUmxyy32QwsFECGE9IOYBj3S5S9Bifb60yoKpdtzqF11NfxeF+xphpYFog1ez8u71W3rWQsg0y/zD+vVbqVZ1UUo9CREY6+2mb07FIXIAOsdrOpiLwCguTuUyCUNcCanwy5Lla09ISlsCk0ddOIc+u614SCVA9TaE4Y+99yZZglML9QG6wBFYnG8e7hDOprjHQogQgjpB9EKP9It8IJvXTAfX/r4LCybWZFwgLROqUwFC5BwgOw24LqzZgBIuCSZhKABfZ4m8UtaURRsO9wBAFgypQwep0PmmLpD2h4zLf/jczkMrlq1cIC6kx2g/tDngIQYEx1zAp8Wgi42zS9q7w3jR8/sxH5TuUpPdzCCH/5jpxzC2B/tuvb65u6QDH83mnajpZsB0ovLQCSW1FqfCetfPYCL73sVD792IKPnKYqCSCw+8IWjDAogQgjpB+EujHQHmOCM2ZX46vlz4bDbpBgQ7kU2AmjRpBLYbMD1Z8/Ev5861fC1bB0gvQBq6AyiuTsEp92G4+vUvI4o0wkHSM4AKjC+nphz1NyVEDJpCaDiZAdoUplRABW6jSUwkUn63y1H8MtNe3Hv83tS3v//3q3HAy/uxS+e3z3gWcwujRBWIhguMHerpcIslAazx+y9o6ozp5+1lA5X/vYNnPPjTUn740Y7FECEENIPCQcoNwJIj7kclI0AOm1mJT64YwW+vnIeJpcXYFKZL+X9BzyPRUeV2Nk1b0KxXOVRJGfvqNcd6zMGoAX6Elg2DlBLd0ieZXK5z3CNPIspBN2idY8d7kcUCMEgOs3645hJAB3QckBNWTtARqE0mDLYES07lomL1BuK4rW9bTjaEchYOOU7FECEENIPp82sgNtpx2kzK3J9lCQxkI0AAoBCXXD61BmJ9zUUDtC2w+rOrhMmlyZez228Ts4AMr2eVQnMn8ZkaiGADrb1yZxNsgMkSmDqawphIQTL0Y7UC0obOoLauQcWLaIENqNSHQApckBJJTBTbioUjeGZDxqSHk92gLIXQEePqe8xkIGTcyDFbraxAAUQIYT0w0WL6/Dhd1dg1cIJuT5KkkDJ1LGxQi+AMm2DN+dpgIQDtGRyomOryDR9uVO2wBvPL3atZesAiXKTy5HoKBMUmEtgmhsl2vEbu4KyS81MvSaO0hEAYtP8iVPLtDOprkmTVgIT78fcOff4W4dx/R/ewd3P7jI8bhZE2W6yD0ZiaNa60PoycIAO6nezZbjCI9+hACKEkAFwOfLjn8qhcoD0LJ1envX9zCHoSCyO97WcyQlTShPXmWYBHevtvwTW0hWSAiEdkScC6vtaVAHk97qS3ou5HGd2o2JxRQoEM6Ktv2MAARSMxOR4AdGyL0tg2nTsOTXq6g6zsPmoSd1l9sb+dsPj5nb9bEtg9TqHK5Msjz4cnm7r/mghP/5WE0IIGZACtwNOXdv7UAigyeUFmFdbDKfdhinlhRk911wC29nQjVA0Dr/XiekViXuZHaCUIWjNtekORWXJKL0QtPo88ZxirxOlPqO4EqswzLvA9GUtqzJYNBaX9w1H4/2KB3Evh92GRdrAxgOmEPRsbXmr2U0SAuWjpm7D2pChKoEdOZZ4b30ZrOHQt/KzBEYIISQn2Gw2gyDItGSVikevOxXPf/UcWYJKF7/M06i/GGX+Z0qZYT6ROXjcaVqDIVCHTaq/lvZq293TEUBVpoC632d0gDxOu9xbZnatjukEUL2FAGruDhnm5vSXAxIdWmUFbkzTMkBtvWF0BSNo0qZjz9GWt5qFjRBfccW49V18b92aC2leiHrPP3fhM7/ePKA7oxd3gUj6Le2GEhgFECGEkFyh/8U+FA4QoJaiplQUDHyhCbMDtFWb/6MPQAMJB0g4G8fkFGijS2Oz2WQZTDgd6ZXAjAKo2Os0fG/0oe+EGItAURR0BhKOit4lEYhVGoKOQGoHRpT2KrS1HkJQvne4UzpOczQHyFza0osvMUcJSGSFxM9HXwKLxxX89pX9eH1fO57cejTludT3lhAygQwcoP0MQRNCCMkHiodBAGVLsckB2tnQDQBYNNG4r6vIbS6BaQHnguTzV5tcqHTeY4VpSKXf60Kx1wltYTx8umGLQrRFYgrae8OIxBLujpUDdLTD2L3VXxBYdICVFapnFkLwR8/uVF/b40RtiSrw9A5QdzBiaHcXThqQ+N5Oq0g4SvK8nQEZaH7inYEEkN4BSi7jNXYG8cwHDYjr3K6eUNS4viOQvnAaDVAAEULIKGI4HKBs0edp4nFFllnMbpIMHptyN+YSGJDIAQnSeY8uh92QJyr2OmG322T4Wr+Oo9CdEEaHTY6PlQBq6DA7QKkFkGipL9dmR920fDZstkRJq6bEKx2t7lBUltYaTEMS3z2sK4Fprze9MtkB2q2VCQHVNdrbkvjcjDEDlCyAvvPXD3D9H97BS9paFAA4qHN/ADpAhBBCckg+CSDhACmKsXW9rtQ4hNC8EV4uQi1MXi8iSmCCdN+jvgwmskmiy0yswQDUBbfCkTIPP7QKQZtFUX8ioM0kgI6rK8GlSybJr9f6vYZ1I+L7IV53WkUBHHYbGruCMjQtnKGpmgOkb4Pf22wUPP2VwY4e678LTHwv9ujueaDV+P1Jd3jjaIECiBBCRhEluuBzrgWQ12WXXWk7G9U9WSU+lxQ8gmKTUyTnAFmcXx/Edtptcn7PQOh3tQlhJr4/5sWo4jyHtVyMR9tVdvRYAIpiXBSaSQlMOkC6bNMtK+bI+1f7PXA77bIkJ74PQmTNqi6SGSFRBks4QKoA6g5FEYqqAma31jo/SwtW/2XrUUMJa29LDw619SEUjck2fEAt/5l3ewlXTi8CRQu/KEuyDZ4QQkjO0Iue4gyXlw41NptNioldjWr+x+z+AECRR9thFoyiO5jYBD9QBsjvc8FmS2/bvcEB0kSi+F6ZRZQoyR1uV3/Zz6tVRUdvOJaUcxEh6CnactX+QtDtFs7WhBIf1pw7C4C6HFZ/PiEohACqK/XJ3JAIlItrJpX5ZCebCFvvbla/5/9x1gwUeZw4ciyAtw6oc4T6wlF86r5XcdG9r2BXYzcUJdFJBiTngMT70jteogV+0ST1TCyBEUIIyRnil3qx1yl/IeYSIcJ2agJoopUA0jlA4hdtgdsBjzPZ3an2J0pgmThcegFkdoAK3GZHSn1cdEZNKPHJspW5DCYEwfwJxvk9VhvSRXmq3FTaW/PxWXj56+fiylOmANCND5AOkOrO1JX6sEQTQO8e7tDmDqmvUepzy665tt4QFEWRGaCFk0rw8XnVACAFUGt3GN3BKDoDEfz0OXWJ6+TyhIjS7wMLRmLydep1jpdwgE6YXGJ472MFCiBCCBlFiF/quS5/CYQDJASQfrmqoEgLIfeEov0GoIFkByhd9KUzEc72p3KAtBKdWO5ZWuCSws0wLycck3OC5k/wA0iUir7y6Dac8v3nDKFk0d5vFkA2mw2TywvkbCRxLuHuHNU5QAu1AYof1ncZSk5FXicqtPu294bR3B1CdzAKu00tj4nVHyIzpH/u8zubAahDL0X5TS+AOlLMQjqgzQASDlBfOJYk+kYzFECEEDKKKNEmHJunKOcK4WbsaRYlMG/SNbIEFopKkVBSkByABowCKDMHKDkDVKu5SWZBIkSb+GVfWuCW59YLgHqt/FXkccrlqsIFeWFnM471RfBhfaJjS4gh83wjM+Z9YOI1J5Z6MaOqEHabOidIhJyLParbV64TQCKsPK2iEB6nI8lVssrrTCrzyZUg+k4w8TMB1CB3IBwztMAv1I01GEtB6KEZI0oIIWREOGN2JVYcV4MLF9Xl+igAjHN1AGBiafJARVECi8UV2d1UlkLAlRW44bTbEI0rWZfARMbm/zt1CjwuOy49caLpzC7DmUsLXDK7ZBBA2scTSrzyvJ2BCDoDEdnS36aVvRRFSekAmREOVVcwYvie1JX64HE6MKW8AAfa+vCOtlhWOEblmshr6wnLwLUIQMv2es0BMg9aBNSfjXSAItYOEKAKP+EQlRe6UVboRrHHie6QWlKrMA2eHK1QABFCyCiiyOPEr/79Y7k+hsQcxLZygApcDjjsNsTiitwWn8rBstttqCr2oKEzKIVCOli1wVcUeXD92TMtzmy8b1mBS3azHdEJoAZdNkeIsc5AxDBVubVHdUm6Q1EpqAYUQL6EW9PSHUI0rsBhT0zBnlVdpAmgY4bz6ktgQmzN1parFnuNwWrh1MyoKsT+1l4oiuoAiXKgsQRmDHbXdwTk6o7ZOoElBNBYgSUwQgghWWMWExMtMkB2uw3L56sh3ce3HAaQKOVZIcpgGTlAxckCKBXFpjb9Ep87kQHSzctJZHO8UrB19EUMQwXF7B/hyBS4HfC6+m/dF+frDETka9T6vTKgPFMTHVs1ASQdIE0AtXSHZAB6dnWx4Z5C+AgHaMEEP/791Kmo9XuxdEa5PJt+Iap5uGN9RwDb69WxBsfVlWjfo8SZxwoUQIQQQrJG79K4nXZUFlqXR9atmg+XwwYxZqe/DFOV5oRkIoBqij2YXO7DjMrCJFFmpsjCAZpRpYqOd490YP2r+9HWE8KLH6lTketKfIbgsn6AYpvmALWlmf8B9G3wUSmA9N1zs7SztGrlNfE9Fq34f95yWIqjgUpgxV4X7rz4eLx+63moLvYmHKB+SmBHO4Iy27Sgzp905rECBRAhhJCs0ZfA6kq8hi3weqZVFuJzp0+Xn6fKAAHAv500CcdP9OM8zTVKB6fDjg03n42nv3JmyjNYnRlQQ9Bza4tx9WnToCjAHX/bjrN/vAnbDnfAabfh3HnVUowpCrBD23kGJDJAwgEy7yWzQu/W1OtcJoEQNebrL1pch0uXTERcUfNLNhswsypFCUz7X3MZ0boLTD27+LYdPRbA9gbVAVqgdb/RASKEEEJ06N0Wq/KXnjUfnyW7tSpSOEUAsPL4Wvz9S2dillbeSReva+DyE5BcthNu1O0XLcAt588BoHaszakpwpM3no7jJ5bA43RI90Tf+dWqCZ9mrWPKvJneihKdm6QfgiiYaRZA2vUuhx33XH4CfvfZj2FyuQ8rj6uVXV1+U2dZtxBAJhfN148DJFywNw+0oTsYhcthk2KsxGcssY0FGIImhBCSNXo3xWoIovnaB/6/k/DXbfVYeXztcB8t9TmSMkDqe7DZbFjz8dmYW+vHkWN9uGLpFMOwxhKfC33hmGFfliiBNeg6xgZCL1bEvfQCyO91ocbvkUFks4tz3vwafHxetWFKthB14VgcwUhMVwKzdoCs2uCPq/NjT3OPnJA9u7oYbm2Nhz63NFjeO9KBrYc6cM7cKrnjLBdQABFCCMka/S9YqzUYZj42rRwfm1Y+nEcaEL1o81m4Rp9YUGP5vBKfCw2dQUR1+7ZECaxea2VPSwBpr7+3pQe7mhTYbcAp043fk1nVRQkBZJGFMq8IKdK23CuK6iyJEphZAAkXS78QVYSgF0zw46/b6uXjIv8j3jswNA7Qk1vr8eCr+/GZkyfjh/+6aND3yxaWwAghhGSNoQSWhgDKB/Qh6P6ySGasQtmBSAx94ajcGTahZODvgQgUCyF19WnT5RJUgQhCAwN3tQFqp51wtroCUekAmZ/rtRiEKDJAc2uLoY9PHacXQAWZO0DBSCxpuSwAvLxbDZefNacq7XsNBxRAhBBCskbvTowWAaQXbakmUluh71zze53wutRfoW09YTQIB8hiDpIZv6ls+FUtd6RHH4QWgmkghLPVHYxIp8Yc+C5wqfeyygBVFnlQo9vFJgLQQGYh6JbuEG79y/s47vZn8V/P7DJ8rb4jgN3NPbDbgNNnVqb1voYLCiBCCCFZk0kIOl8oztIBKtXNLppUViCD3C09ocTQxDQcoGKvEx4tW3Pnxceh0JMscPRB6HQcIEC/Y0znAJnEk8+tvq7oAlMURZbA9BOxAWC+zgGSnWsWKzb0/P29epz735vw/944hFhcwea9rYavv7Jb/Xzx5FLpKuUKZoAIIYRkTVmBG6UFLtiQXvknH/A4HXA77AjH4hntVNP/wp5U5oPLYcPRjgD2NvdIR6U2jQyQ02HHvVeciJ5QBOfNt84bGR2gNAWQaIUPRAxzgPT43JoDpAmgQCSGcFRdcFpWoA6E3HLwGCaX+wzCy5+GA/Tc9iZ85dFtiMUVTCrz4cixgOyOE7yolb/OnJ3b8hdAAUQIIWQQuBx2/P1LZwCA7BgaDRR7nWjrDaM0gxKYPgM0scwnMzwfHFXb4ssL3Wm14QOpg9aCqiIPJpR40dwdMpSl+kOInZbuEMLa1vaUXWCaYBPlL5fDhgK3QzpA+vIXoCuBmYYmvvhRC/Y09yAcjeMnz32EWFzBJUsm4qvnz8EZ//UCWrpDiMcV2LVVKK/uUR2gs2bntvwFUAARQggZJGJT+mhCCqAMpk3rBdCksgL0agtRP9DWRqTTAZYuNpsNj3z+FLT3RlBVnN7yUVHuErOFbDa1O0yP7ALTHCDRAl9a4IbNZsNFiyfg9X1t+PdTpxmeJ957dygqBc3h9j5c/dCb0Oecl8+vwY/+LdHZFY2rS2Irijz44GgnOvoiKPY4ccLk0vS+EcNIzuX6fffdh2nTpsHr9WLp0qV48803+73+pz/9KebOnQufz4fJkyfj5ptvRjAYlF+/4447YLPZDH/mzZs33G+DEELIKEJ0gqWzukKgL5dNLPXJrejbpQAa2hLgrOripPb4/hAlK7Feo8jjTJqKnXCAVPEmHB0hBI+rK8GTN56OM0wOjRBXiqKKIEAdCKkoQGWRGxcsrMWN587EvVcsgcthh8thl8tbRTv/S9pqkdNmVcDpyLn8yK0D9Nhjj2Ht2rV44IEHsHTpUvz0pz/FihUrsGvXLlRXJ49A/3//7//hm9/8Jh588EGcdtpp+Oijj3D11VfDZrPhnnvukdcdd9xxeO655+TnTieNLkIIIQmEo5FJBsgYgvbJrfAi/1OXRgfYcCIyQGJZq1V42mfaBn9ME0ADCUGP0wGvy45gJI6uQAQlPpcc4njWnCrcc9kJSc+pKvagrTeM5u4gFsCPV0T5K8ft74KcSrB77rkH1157La655hosWLAADzzwAAoKCvDggw9aXv/aa6/h9NNPxxVXXIFp06bh/PPPx+rVq5NcI6fTidraWvmnsjL3tUZCCCH5w+fPmI4Vx9VgeYoQshXGEpgvae1FOgHo4UQElUUJzGoprHkXWEdALYGl05FlboU3b6Q3U61ll0QQWlyfD+UvIIcCKBwOY8uWLVi+fHniMHY7li9fjs2bN1s+57TTTsOWLVuk4Nm3bx+efvppXHDBBYbrdu/ejbq6OsyYMQNXXnklDh061O9ZQqEQurq6DH8IIYSMXT4+rwa/+vePoaww/RJYbYkXdpvqbJT4XEmLT9NpgR9OhOARm+mtHCDzNvgOUwmsP5IEUJMqaMzLWwU1WnappTuE7mAE7dq5xFb7XJOz2lBraytisRhqaozqu6amBjt37rR8zhVXXIHW1lacccYZUBQF0WgU119/PW699VZ5zdKlS7F+/XrMnTsXDQ0N+O53v4szzzwTH3zwAYqLrVXqXXfdhe9+97tD9+YIIYSMOaqKPXjk80vVtn+bLWmh61CGoLPBLHisHCCvaReYmAKdjhDUb7GPxRXsbREOkLUAqvar35+mrqDcL1Ze6E5qzc8VuU8hZcCmTZvwgx/8AL/85S/xzjvv4IknnsBTTz2F733ve/KaVatW4dOf/jQWLVqEFStW4Omnn0ZHRwcef/zxlPddt24dOjs75Z/Dhw+PxNshhBAyyjh9ViWOqysBALnZXpDOLrThxDwvyGp+kHCAQtE44nFFOkBWaz7MiJEBjV1BHDnWh1A0DrfTjskpHJ3qYq0E1hXCoXY1L5Xq2lyQMweosrISDocDTU1NhsebmppQW2u9Jfg73/kO/v3f/x1f+MIXAAALFy5Eb28vrrvuOnzrW9+C3Z6s50pLSzFnzhzs2bMn5Vk8Hg88nvTaDAkhhBAg2TURjkeuMDs+lhkgd2JOUSASSzsEDQBLppTiuR1NeHVPqyxjzawqgsPUaSao1kpgzd1BHNYEUL6Uv4AcOkButxsnnXQSNm7cKB+Lx+PYuHEjli1bZvmcvr6+JJHjcKg/TKuFawDQ09ODvXv3YsKECUN0ckIIIUQdAilWaVQWeeBxpjcEcbhIqwTmNAqgzoCYAzSwA3TuXLU7+9U9bfjgqJqVTVX+Aowh6ENSAOXPtPCclsDWrl2L3/zmN3j44YexY8cO3HDDDejt7cU111wDALjqqquwbt06ef1FF12E+++/H48++ij279+PDRs24Dvf+Q4uuugiKYRuueUWvPjiizhw4ABee+01XHLJJXA4HFi9enVO3iMhhJCxi5gFlOsWeMCiBGaRtbHbbXKJayCccIDSEUDzJxSjxu9BIBLDY2+pzUX9CiDhAHWFcDAPHaCcDsi5/PLL0dLSgttuuw2NjY044YQT8Mwzz8hg9KFDhwyOz7e//W3YbDZ8+9vfxtGjR1FVVYWLLroI3//+9+U1R44cwerVq9HW1oaqqiqcccYZeP3111FVlR9zBwghhIwdKgrd2IPcB6ABqxKYtagpcDsRjIQRiMR0XWADl8BsNhvOmVONx94+jPpOdQBxqg4wAHKCdTgWl+tCmAHSsWbNGqxZs8bya5s2bTJ87nQ6cfvtt+P2229Peb9HH310KI9HCCGEpETMAsqHRbAuhx0+l0O2uJs3wQt8uk6wTEpgAHDuvCo89naiUWh2TWoB5HU5UOJzoTOQaIGfWlGY1uuMBKOqC4wQQgjJJxbUqUtDF00qyfFJVPQuUCoHSAShD7b1IhJTYLchaaZRKk6fVQmnFnp22m0DCpoaXTDc5bChNs3FriMBBRAhhBCSJTecPRPPf/VsXLJkYq6PAsCYA7IKQQMJB+i9I2pZalpFYdoB7mKvCydPU/eTTa8shGuAnV6iFR5QF8im6hjLBRRAhBBCSJbY7TbMqCqCzZYfv9j9OtFjFYIGEg7Q+5oA6i/HY8XyBWpO9/iJA7te1bpN9vmU/wHyIANECCGEkKFBX/byD+AAfVCvCqD+cjxWfHbZVBR7nDh77sDNRVW6Elg+tcADFECEEELImMFYAkvVBWZch5FqmWkqnA47Ljt5clrX1uhKYPnUAg+wBEYIIYSMGYTr43Ik5v2YEQ6QINMSWCZUGxwgCiBCCCGEDAPC9Sn2ulLmkvTrMGw2dZ3FcKEPQedbBogCiBBCCBkjiNk/qTrAAKMDNLmswCCIhhp9G3y+CSBmgAghhJAxguj8StUBBiQyQMDwlr8AVWCdNacKlYXufs+UCyiACCGEkDGCWMlR08/AQa9OAPW3y2sosNtt+P3nThnW18gWCiBCCCFkjHD2nCr8+N8W4dQZFSmvKXCNnAOUz1AAEUIIIWMEp8OOT3+s/xZ1feZndk1mLfBjCYagCSGEkHGEz53wPsazA0QBRAghhIwjRBdYXYkXRZ7xWwgav++cEEIIGYcsmVKKmVWF+NQJ+bHANVdQABFCCCHjiMoiDzZ+9ZxcHyPnsARGCCGEkHEHBRAhhBBCxh0UQIQQQggZd1AAEUIIIWTcQQFECCGEkHEHBRAhhBBCxh0UQIQQQggZd1AAEUIIIWTcQQFECCGEkHEHBRAhhBBCxh0UQIQQQggZd1AAEUIIIWTcQQFECCGEkHEHBRAhhBBCxh3OXB8gH1EUBQDQ1dWV45MQQgghJF3E723xe7w/KIAs6O7uBgBMnjw5xychhBBCSKZ0d3ejpKSk32tsSjoyaZwRj8dRX1+P4uJi2Gy2Ib13V1cXJk+ejMOHD8Pv9w/pvfOBsf7+AL7HscBYf3/A2H+PY/39AXyP2aAoCrq7u1FXVwe7vf+UDx0gC+x2OyZNmjSsr+H3+8fsf9DA2H9/AN/jWGCsvz9g7L/Hsf7+AL7HTBnI+REwBE0IIYSQcQcFECGEEELGHRRAI4zH48Htt98Oj8eT66MMC2P9/QF8j2OBsf7+gLH/Hsf6+wP4HocbhqAJIYQQMu6gA0QIIYSQcQcFECGEEELGHRRAhBBCCBl3UAARQgghZNxBATSC3HfffZg2bRq8Xi+WLl2KN998M9dHyoq77roLJ598MoqLi1FdXY1PfepT2LVrl+Gac845BzabzfDn+uuvz9GJM+eOO+5IOv+8efPk14PBIG688UZUVFSgqKgI//qv/4qmpqYcnjhzpk2blvQebTYbbrzxRgCj82f40ksv4aKLLkJdXR1sNhuefPJJw9cVRcFtt92GCRMmwOfzYfny5di9e7fhmvb2dlx55ZXw+/0oLS3F5z//efT09Izgu0hNf+8vEongG9/4BhYuXIjCwkLU1dXhqquuQn19veEeVj/3H/7whyP8TlIz0M/w6quvTjr/ypUrDdeM1p8hAMu/kzabDT/+8Y/lNfn+M0znd0Q6/4YeOnQIF154IQoKClBdXY2vfe1riEajQ3ZOCqAR4rHHHsPatWtx++2345133sHixYuxYsUKNDc35/poGfPiiy/ixhtvxOuvv44NGzYgEong/PPPR29vr+G6a6+9Fg0NDfLPj370oxydODuOO+44w/lfeeUV+bWbb74Zf/vb3/DnP/8ZL774Iurr63HppZfm8LSZ89Zbbxne34YNGwAAn/70p+U1o+1n2Nvbi8WLF+O+++6z/PqPfvQj/PznP8cDDzyAN954A4WFhVixYgWCwaC85sorr8SHH36IDRs24O9//zteeuklXHfddSP1Fvqlv/fX19eHd955B9/5znfwzjvv4IknnsCuXbvwyU9+MunaO++80/Bz/dKXvjQSx0+LgX6GALBy5UrD+f/0pz8Zvj5af4YADO+roaEBDz74IGw2G/71X//VcF0+/wzT+R0x0L+hsVgMF154IcLhMF577TU8/PDDWL9+PW677bahO6hCRoRTTjlFufHGG+XnsVhMqaurU+66664cnmpoaG5uVgAoL774onzs7LPPVr7yla/k7lCD5Pbbb1cWL15s+bWOjg7F5XIpf/7zn+VjO3bsUAAomzdvHqETDj1f+cpXlJkzZyrxeFxRlNH/MwSg/OUvf5Gfx+Nxpba2Vvnxj38sH+vo6FA8Ho/ypz/9SVEURdm+fbsCQHnrrbfkNf/4xz8Um82mHD16dMTOng7m92fFm2++qQBQDh48KB+bOnWq8pOf/GR4DzdEWL3Hz372s8rFF1+c8jlj7Wd48cUXKx//+McNj42mn6GiJP+OSOff0Kefflqx2+1KY2OjvOb+++9X/H6/EgqFhuRcdIBGgHA4jC1btmD58uXyMbvdjuXLl2Pz5s05PNnQ0NnZCQAoLy83PP7HP/4RlZWVOP7447Fu3Tr09fXl4nhZs3v3btTV1WHGjBm48sorcejQIQDAli1bEIlEDD/PefPmYcqUKaP25xkOh/GHP/wBn/vc5wwLgEf7z1DP/v370djYaPi5lZSUYOnSpfLntnnzZpSWluJjH/uYvGb58uWw2+144403RvzMg6WzsxM2mw2lpaWGx3/4wx+ioqICS5YswY9//OMhLSuMBJs2bUJ1dTXmzp2LG264AW1tbfJrY+ln2NTUhKeeegqf//znk742mn6G5t8R6fwbunnzZixcuBA1NTXymhUrVqCrqwsffvjhkJyLy1BHgNbWVsRiMcMPEgBqamqwc+fOHJ1qaIjH47jppptw+umn4/jjj5ePX3HFFZg6dSrq6urw3nvv4Rvf+AZ27dqFJ554IoenTZ+lS5di/fr1mDt3LhoaGvDd734XZ555Jj744AM0NjbC7XYn/VKpqalBY2Njbg48SJ588kl0dHTg6quvlo+N9p+hGfGzsfp7KL7W2NiI6upqw9edTifKy8tH3c82GAziG9/4BlavXm1YMvnlL38ZJ554IsrLy/Haa69h3bp1aGhowD333JPD06bPypUrcemll2L69OnYu3cvbr31VqxatQqbN2+Gw+EYUz/Dhx9+GMXFxUnl9dH0M7T6HZHOv6GNjY2Wf1fF14YCCiAyKG688UZ88MEHhnwMAEO9feHChZgwYQLOO+887N27FzNnzhzpY2bMqlWr5MeLFi3C0qVLMXXqVDz++OPw+Xw5PNnw8Lvf/Q6rVq1CXV2dfGy0/wzHM5FIBJdddhkURcH9999v+NratWvlx4sWLYLb7cZ//Md/4K677hoVKxc+85nPyI8XLlyIRYsWYebMmdi0aRPOO++8HJ5s6HnwwQdx5ZVXwuv1Gh4fTT/DVL8j8gGWwEaAyspKOByOpIR7U1MTamtrc3SqwbNmzRr8/e9/xwsvvIBJkyb1e+3SpUsBAHv27BmJow05paWlmDNnDvbs2YPa2lqEw2F0dHQYrhmtP8+DBw/iueeewxe+8IV+rxvtP0Pxs+nv72FtbW1SY0I0GkV7e/uo+dkK8XPw4EFs2LDB4P5YsXTpUkSjURw4cGBkDjjEzJgxA5WVlfK/y7HwMwSAl19+Gbt27Rrw7yWQvz/DVL8j0vk3tLa21vLvqvjaUEABNAK43W6cdNJJ2Lhxo3wsHo9j48aNWLZsWQ5Plh2KomDNmjX4y1/+gueffx7Tp08f8Dnbtm0DAEyYMGGYTzc89PT0YO/evZgwYQJOOukkuFwuw89z165dOHTo0Kj8eT700EOorq7GhRde2O91o/1nOH36dNTW1hp+bl1dXXjjjTfkz23ZsmXo6OjAli1b5DXPP/884vG4FID5jBA/u3fvxnPPPYeKiooBn7Nt2zbY7fakstFo4ciRI2hra5P/XY72n6Hgd7/7HU466SQsXrx4wGvz7Wc40O+IdP4NXbZsGd5//32DmBWCfsGCBUN2UDICPProo4rH41HWr1+vbN++XbnuuuuU0tJSQ8J9tHDDDTcoJSUlyqZNm5SGhgb5p6+vT1EURdmzZ49y5513Km+//bayf/9+5a9//asyY8YM5ayzzsrxydPnq1/9qrJp0yZl//79yquvvqosX75cqaysVJqbmxVFUZTrr79emTJlivL8888rb7/9trJs2TJl2bJlOT515sRiMWXKlCnKN77xDcPjo/Vn2N3drWzdulXZunWrAkC55557lK1bt8ouqB/+8IdKaWmp8te//lV57733lIsvvliZPn26EggE5D1WrlypLFmyRHnjjTeUV155RZk9e7ayevXqXL0lA/29v3A4rHzyk59UJk2apGzbts3wd1N0zbz22mvKT37yE2Xbtm3K3r17lT/84Q9KVVWVctVVV+X4nSXo7z12d3crt9xyi7J582Zl//79ynPPPaeceOKJyuzZs5VgMCjvMVp/hoLOzk6loKBAuf/++5OePxp+hgP9jlCUgf8NjUajyvHHH6+cf/75yrZt25RnnnlGqaqqUtatWzdk56QAGkF+8YtfKFOmTFHcbrdyyimnKK+//nquj5QVACz/PPTQQ4qiKMqhQ4eUs846SykvL1c8Ho8ya9Ys5Wtf+5rS2dmZ24NnwOWXX65MmDBBcbvdysSJE5XLL79c2bNnj/x6IBBQvvjFLyplZWVKQUGBcskllygNDQ05PHF2PPvsswoAZdeuXYbHR+vP8IUXXrD8b/Ozn/2soihqK/x3vvMdpaamRvF4PMp5552X9N7b2tqU1atXK0VFRYrf71euueYapbu7OwfvJpn+3t/+/ftT/t184YUXFEVRlC1btihLly5VSkpKFK/Xq8yfP1/5wQ9+YBAPuaa/99jX16ecf/75SlVVleJyuZSpU6cq1157bdL/kRytP0PBr371K8Xn8ykdHR1Jzx8NP8OBfkcoSnr/hh44cEBZtWqV4vP5lMrKSuWrX/2qEolEhuycNu2whBBCCCHjBmaACCGEEDLuoAAihBBCyLiDAogQQggh4w4KIEIIIYSMOyiACCGEEDLuoAAihBBCyLiDAogQQggh4w4KIEIIIYSMOyiACCF5xR133IETTjhhUPc4cOAAbDab3F9GCCFmKIAIIRlx+PBhfO5zn0NdXR3cbjemTp2Kr3zlK2hra8v4XjabDU8++aThsVtuucWwJDEbJk+ejIaGBhx//PGDus9Qsn79epSWlub6GIQQDQogQkja7Nu3Dx/72Mewe/du/OlPf8KePXvwwAMPYOPGjVi2bBna29sH/RpFRUVpbTHvD4fDgdraWjidzkGfx4pwODws9yWEjBwUQISQtLnxxhvhdrvxz3/+E2effTamTJmCVatW4bnnnsPRo0fxrW99S147bdo0fO9738Pq1atRWFiIiRMn4r777jN8HQAuueQS2Gw2+bm5BHb11VfjU5/6FH7wgx+gpqYGpaWluPPOOxGNRvG1r30N5eXlmDRpEh566CH5HHMJ7NixY7jyyitRVVUFn8+H2bNnG64/fPgwLrvsMpSWlqK8vBwXX3wxDhw4kHSG73//+6irq8PcuXMtvz/vvvsuzj33XBQXF8Pv9+Okk07C22+/jU2bNuGaa65BZ2cnbDYbbDYb7rjjDgBAKBTCLbfcgokTJ6KwsBBLly7Fpk2b5D2Fc/Tkk09i9uzZ8Hq9WLFiBQ4fPpzBT44QYoYCiBCSFu3t7Xj22WfxxS9+ET6fz/C12tpaXHnllXjssceg36/84x//GIsXL8bWrVvxzW9+E1/5ylewYcMGAMBbb70FAHjooYfQ0NAgP7fi+eefR319PV566SXcc889uP322/Ev//IvKCsrwxtvvIHrr78e//Ef/4EjR45YPv873/kOtm/fjn/84x/YsWMH7r//flRWVgIAIpEIVqxYgeLiYrz88st49dVXUVRUhJUrVxqcno0bN2LXrl3YsGED/v73v1u+zpVXXolJkybhrbfewpYtW/DNb34TLpcLp512Gn7605/C7/ejoaEBDQ0NuOWWWwAAa9aswebNm/Hoo4/ivffew6c//WmsXLkSu3fvlvft6+vD97//ffz+97/Hq6++io6ODnzmM59J+f0ihKTBkO2VJ4SMaV5//XUFgPKXv/zF8uv33HOPAkBpampSFEVRpk6dqqxcudJwzeWXX66sWrVKfm51v9tvv11ZvHix/Pyzn/2sMnXqVCUWi8nH5s6dq5x55pny82g0qhQWFip/+tOfFEVRlP379ysAlK1btyqKoigXXXSRcs0111ie+5FHHlHmzp2rxONx+VgoFFJ8Pp/y7LPPyjPU1NQooVDI8h6C4uJiZf369ZZfe+ihh5SSkhLDYwcPHlQcDody9OhRw+PnnXeesm7dOvk8AMrrr78uv75jxw4FgPLGG2/0ex5CSGroABFCMkLROTwDsWzZsqTPd+zYkfFrHnfccbDbE/9c1dTUYOHChfJzh8OBiooKNDc3Wz7/hhtuwKOPPooTTjgBX//61/Haa6/Jr7377rvYs2cPiouLUVRUhKKiIpSXlyMYDGLv3r3yuoULF8Ltdvd7zrVr1+ILX/gCli9fjh/+8IeG51vx/vvvIxaLYc6cOfK1i4qK8OKLLxqe63Q6cfLJJ8vP582bh9LS0qy+l4QQleFJCBJCxhyzZs2CzWbDjh07cMkllyR9fceOHSgrK0NVVdWQv7bL5TJ8brPZLB+Lx+OWz1+1ahUOHjyIp59+Ghs2bMB5552HG2+8Ef/93/+Nnp4enHTSSfjjH/+Y9Dz9eyksLBzwnHfccQeuuOIKPPXUU/jHP/6B22+/HY8++qjl9wsAenp64HA4sGXLFjgcDsPXioqKBnw9Qkj20AEihKRFRUUFPvGJT+CXv/wlAoGA4WuNjY344x//iMsvvxw2m00+/vrrrxuue/311zF//nz5ucvlQiwWG96Da1RVVeGzn/0s/vCHP+CnP/0pfv3rXwMATjzxROzevRvV1dWYNWuW4U9JSUnGrzNnzhzcfPPN+Oc//4lLL71Uhq3dbnfSe12yZAlisRiam5uTXru2tlZeF41G8fbbb8vPd+3ahY6ODsP3khCSGRRAhJC0uffeexEKhbBixQq89NJLOHz4MJ555hl84hOfwMSJE/H973/fcP2rr76KH/3oR/joo49w33334c9//jO+8pWvyK9PmzYNGzduRGNjI44dOzZs577tttvw17/+FXv27MGHH36Iv//971I8XHnllaisrMTFF1+Ml19+Gfv378emTZvw5S9/OWWo2opAIIA1a9Zg06ZNOHjwIF599VW89dZb8nWmTZuGnp4ebNy4Ea2trejr68OcOXNw5ZVX4qqrrsITTzyB/fv3480338Rdd92Fp556St7b5XLhS1/6Et544w1s2bIFV199NU499VSccsopQ/uNImQcQQFECEmb2bNn4+2338aMGTNw2WWXYebMmbjuuutw7rnnYvPmzSgvLzdc/9WvfhVvv/02lixZgv/8z//EPffcgxUrVsiv33333diwYQMmT56MJUuWDNu53W431q1bh0WLFuGss86Cw+HAo48+CgAoKCjASy+9hClTpuDSSy/F/Pnz8fnPfx7BYBB+vz/t13A4HGhra8NVV12FOXPm4LLLLsOqVavw3e9+FwBw2mmn4frrr8fll1+Oqqoq/OhHPwKgdsFdddVV+OpXv4q5c+fiU5/6FN566y1MmTJF3rugoADf+MY3cMUVV+D0009HUVERHnvssSH8DhEy/rApmSQaCSEkTaZNm4abbroJN910U66PMqpZv349brrpJnR0dOT6KISMKegAEUIIIWTcQQFECCGEkHEHS2CEEEIIGXfQASKEEELIuIMCiBBCCCHjDgogQgghhIw7KIAIIYQQMu6gACKEEELIuIMCiBBCCCHjDgogQgghhIw7KIAIIYQQMu74/wHJ3/eOclpMWAAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "losses = [step[\"loss\"] for step in mixmil.training_history]\n",
-    "plt.plot(losses, label=\"MixMIL loss\")\n",
-    "plt.xlabel(\"Optimiser step\")\n",
-    "plt.ylabel(\"Loss\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3c3c4d9f",
-   "metadata": {},
-   "source": [
-    "The loss is going down, which is a desired behavior. Note that the number of steps here is bigger than the number of epochs we set. This is because training history contains information for every minibatch of the data. For this dataset and batch size, every epoch consists of 2 steps.\n",
-    "\n",
-    "We can now obtain sample embeddings from the model:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "598a80c4",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "sample_id_col = \"scRNASeq_sample_ID\"\n",
+        "cell_type_key = \"cell_type\"\n",
+        "samples_metadata_cols = [\"Source\", \"Outcome\", \"Death28\", \"Institute\", \"Pool_ID\", \"binary_condition\"]"
+      ],
+      "execution_count": 5,
+      "outputs": [],
+      "id": "dd6105aa"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Currently, there is no such columns as \"cell_type\" in the data. But cell types are stored in the `Annotation_major_subset` column. Let's rename it to `cell_type` for better readability."
+      ],
+      "id": "92201a46"
     },
     {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
dim_0dim_1dim_2dim_3dim_4dim_5dim_6dim_7dim_8dim_9...dim_40dim_41dim_42dim_43dim_44dim_45dim_46dim_47dim_48dim_49
G05061-Ja005E-PBCa-1.3812771.341956-0.457196-1.456421-0.330128-1.155065-0.9131080.5215660.2983530.858071...0.0504550.191479-0.086966-0.1469080.0498810.0678010.042632-0.081675-0.021801-0.128855
G05064-Ja005E-PBCa-0.840356-0.758498-0.385595-0.936781-1.270981-0.677239-0.238136-0.8728340.7757940.139842...-0.0003160.086494-0.003116-0.1678110.169646-0.0170560.009289-0.028307-0.0225680.024029
G05073-Ja005E-PBCa-0.5384730.331862-0.132182-0.686238-0.267157-1.3164240.2371100.9572110.6835760.903618...0.1189590.088980-0.0392370.1307720.1415990.0178220.0179130.0705810.083621-0.170728
G05077-Ja005E-PBCa-0.5270641.9004640.300888-1.442165-0.584309-1.436059-0.1783770.0589340.6156830.767669...0.1765710.101752-0.0598870.1811350.034280-0.0560920.019616-0.0288760.061174-0.013765
G05078-Ja005E-PBCa-0.832603-0.414575-0.206571-1.346403-0.957619-1.585800-0.586254-0.0527730.4197450.945472...0.4432530.189156-0.1112140.0761690.133255-0.0420160.110961-0.1421480.008514-0.070022
..................................................................
S00134-Ja003E-PBCa6.9415520.031779-0.624828-0.2808280.296835-0.387412-0.4490770.100738-0.1259290.074249...-0.0384200.005695-0.0395850.186113-0.0746050.083164-0.0130900.0047230.0809610.004850
S00142-Ja005E-PBCa3.0979142.8504651.0511370.1212250.224610-0.820552-0.1505830.0942370.4027300.786933...-0.1364790.0919330.0334270.0082400.0219390.0001240.152159-0.048620-0.0336450.021786
S00148-Ja003E-PBCa0.7504302.3729790.1467770.036760-0.081484-0.8078870.5074210.3570300.096658-0.360064...-0.073529-0.368383-0.0526340.215808-0.0318420.0766040.1328630.085280-0.0314660.029088
U00515-Ua005E-PBUa-1.5336100.573506-0.5633730.437439-0.800104-0.9477900.095739-0.8863510.364036-0.315162...-0.231965-0.142485-0.208615-0.331639-0.022948-0.1724010.1088610.0089390.0784240.112581
U00519-Ua005E-PBUa-2.3158311.010524-0.5363700.538096-0.152678-0.441404-0.159282-0.569883-0.5227710.313985...0.1368630.1566100.0816930.005688-0.115762-0.0220720.0622070.0408320.0669580.014584
\n",
-       "
101 rows × 50 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "                       dim_0     dim_1     dim_2     dim_3     dim_4  \\\n",
-       "G05061-Ja005E-PBCa -1.381277  1.341956 -0.457196 -1.456421 -0.330128   \n",
-       "G05064-Ja005E-PBCa -0.840356 -0.758498 -0.385595 -0.936781 -1.270981   \n",
-       "G05073-Ja005E-PBCa -0.538473  0.331862 -0.132182 -0.686238 -0.267157   \n",
-       "G05077-Ja005E-PBCa -0.527064  1.900464  0.300888 -1.442165 -0.584309   \n",
-       "G05078-Ja005E-PBCa -0.832603 -0.414575 -0.206571 -1.346403 -0.957619   \n",
-       "...                      ...       ...       ...       ...       ...   \n",
-       "S00134-Ja003E-PBCa  6.941552  0.031779 -0.624828 -0.280828  0.296835   \n",
-       "S00142-Ja005E-PBCa  3.097914  2.850465  1.051137  0.121225  0.224610   \n",
-       "S00148-Ja003E-PBCa  0.750430  2.372979  0.146777  0.036760 -0.081484   \n",
-       "U00515-Ua005E-PBUa -1.533610  0.573506 -0.563373  0.437439 -0.800104   \n",
-       "U00519-Ua005E-PBUa -2.315831  1.010524 -0.536370  0.538096 -0.152678   \n",
-       "\n",
-       "                       dim_5     dim_6     dim_7     dim_8     dim_9  ...  \\\n",
-       "G05061-Ja005E-PBCa -1.155065 -0.913108  0.521566  0.298353  0.858071  ...   \n",
-       "G05064-Ja005E-PBCa -0.677239 -0.238136 -0.872834  0.775794  0.139842  ...   \n",
-       "G05073-Ja005E-PBCa -1.316424  0.237110  0.957211  0.683576  0.903618  ...   \n",
-       "G05077-Ja005E-PBCa -1.436059 -0.178377  0.058934  0.615683  0.767669  ...   \n",
-       "G05078-Ja005E-PBCa -1.585800 -0.586254 -0.052773  0.419745  0.945472  ...   \n",
-       "...                      ...       ...       ...       ...       ...  ...   \n",
-       "S00134-Ja003E-PBCa -0.387412 -0.449077  0.100738 -0.125929  0.074249  ...   \n",
-       "S00142-Ja005E-PBCa -0.820552 -0.150583  0.094237  0.402730  0.786933  ...   \n",
-       "S00148-Ja003E-PBCa -0.807887  0.507421  0.357030  0.096658 -0.360064  ...   \n",
-       "U00515-Ua005E-PBUa -0.947790  0.095739 -0.886351  0.364036 -0.315162  ...   \n",
-       "U00519-Ua005E-PBUa -0.441404 -0.159282 -0.569883 -0.522771  0.313985  ...   \n",
-       "\n",
-       "                      dim_40    dim_41    dim_42    dim_43    dim_44  \\\n",
-       "G05061-Ja005E-PBCa  0.050455  0.191479 -0.086966 -0.146908  0.049881   \n",
-       "G05064-Ja005E-PBCa -0.000316  0.086494 -0.003116 -0.167811  0.169646   \n",
-       "G05073-Ja005E-PBCa  0.118959  0.088980 -0.039237  0.130772  0.141599   \n",
-       "G05077-Ja005E-PBCa  0.176571  0.101752 -0.059887  0.181135  0.034280   \n",
-       "G05078-Ja005E-PBCa  0.443253  0.189156 -0.111214  0.076169  0.133255   \n",
-       "...                      ...       ...       ...       ...       ...   \n",
-       "S00134-Ja003E-PBCa -0.038420  0.005695 -0.039585  0.186113 -0.074605   \n",
-       "S00142-Ja005E-PBCa -0.136479  0.091933  0.033427  0.008240  0.021939   \n",
-       "S00148-Ja003E-PBCa -0.073529 -0.368383 -0.052634  0.215808 -0.031842   \n",
-       "U00515-Ua005E-PBUa -0.231965 -0.142485 -0.208615 -0.331639 -0.022948   \n",
-       "U00519-Ua005E-PBUa  0.136863  0.156610  0.081693  0.005688 -0.115762   \n",
-       "\n",
-       "                      dim_45    dim_46    dim_47    dim_48    dim_49  \n",
-       "G05061-Ja005E-PBCa  0.067801  0.042632 -0.081675 -0.021801 -0.128855  \n",
-       "G05064-Ja005E-PBCa -0.017056  0.009289 -0.028307 -0.022568  0.024029  \n",
-       "G05073-Ja005E-PBCa  0.017822  0.017913  0.070581  0.083621 -0.170728  \n",
-       "G05077-Ja005E-PBCa -0.056092  0.019616 -0.028876  0.061174 -0.013765  \n",
-       "G05078-Ja005E-PBCa -0.042016  0.110961 -0.142148  0.008514 -0.070022  \n",
-       "...                      ...       ...       ...       ...       ...  \n",
-       "S00134-Ja003E-PBCa  0.083164 -0.013090  0.004723  0.080961  0.004850  \n",
-       "S00142-Ja005E-PBCa  0.000124  0.152159 -0.048620 -0.033645  0.021786  \n",
-       "S00148-Ja003E-PBCa  0.076604  0.132863  0.085280 -0.031466  0.029088  \n",
-       "U00515-Ua005E-PBUa -0.172401  0.108861  0.008939  0.078424  0.112581  \n",
-       "U00519-Ua005E-PBUa -0.022072  0.062207  0.040832  0.066958  0.014584  \n",
-       "\n",
-       "[101 rows x 50 columns]"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mixmil_sample_reps = mixmil.get_sample_representations()\n",
-    "mixmil_sample_reps"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f4f7b3b4",
-   "metadata": {},
-   "source": [
-    "And apply our evaluation metrics to them. Here, we test how well binary condition is predicted from the nearest neighbors in the sample representation space:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "481223f9",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "adata.obs.rename(columns={\"Annotation_major_subset\": cell_type_key}, inplace=True)"
+      ],
+      "execution_count": 6,
+      "outputs": [],
+      "id": "126a838a"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "For this tutorial, we will create a binaru condition column, containing information whether a donor is healthy or comes from COVID-19 group"
+      ],
+      "id": "801ab24f"
     },
     {
-     "data": {
-      "text/plain": [
-       "{'score': np.float64(0.5933275812482024),\n",
-       " 'metric': 'f1_macro_calibrated',\n",
-       " 'n_unique': 2,\n",
-       " 'n_observations': 101,\n",
-       " 'method': 'knn'}"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mixmil_distances = mixmil.calculate_distance_matrix()\n",
-    "patpy.tl.evaluate_representation(\n",
-    "    mixmil_distances, \n",
-    "    target=metadata.loc[mixmil.samples, \"binary_condition\"],\n",
-    "    task=\"classification\"\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "141b6414",
-   "metadata": {},
-   "source": [
-    "We can then visualise sample representation using dimensionality reduction methods:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "eb995473",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "adata = adata[~adata.obs[\"Source\"].isin([\"Sepsis\", \"Flu\"])]\n",
+        "adata.obs[\"binary_condition\"] = adata.obs[\"Source\"].str.contains(\"COVID\").astype(int) # 1 for COVID-19, 0 for healthy\n",
+        "adata.obs[\"binary_condition\"].value_counts()"
+      ],
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/localscratch/vladimir.shitov/ipykernel_1391033/647081437.py:2: ImplicitModificationWarning: Trying to modify attribute `.obs` of view, initializing view as actual.\n",
+            "  adata.obs[\"binary_condition\"] = adata.obs[\"Source\"].str.contains(\"COVID\").astype(int) # 1 for COVID-19, 0 for healthy\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "binary_condition\n",
+              "1    524530\n",
+              "0     87204\n",
+              "Name: count, dtype: int64"
+            ]
+          }
+        }
+      ],
+      "id": "aeb83325"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
-      "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
-      "  warn(\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Store metadata and calculate QC metrics"
+      ],
+      "id": "9a70c7c4"
     },
     {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "mixmil.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols, continuous_palette=\"tab10\");"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9ae302f6",
-   "metadata": {},
-   "source": [
-    "Additionally, we can predict a label directly with the model:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "ea569c59",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "metadata = adata.obs[samples_metadata_cols + [sample_id_col]].drop_duplicates()\n",
+        "metadata.set_index(sample_id_col, inplace=True)\n",
+        "metadata"
+      ],
+      "execution_count": 8,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
SourceOutcomeDeath28InstitutePool_IDbinary_condition
scRNASeq_sample_ID
S00109-Ja001E-PBCaCOVID_SEV2.00OxfordgPlexA1
S00112-Ja003E-PBCaCOVID_MILD5.00OxfordgPlexA1
S00005-Ja005E-PBCaCOVID_CRIT2.00OxfordgPlexA1
S00061-Ja003E-PBCaCOVID_SEV4.00OxfordgPlexA1
S00056-Ja003E-PBCaCOVID_SEV3.00OxfordgPlexA1
.....................
S00076-Ja001E-PBCaCOVID_MILD5.00OxfordgPlexK1
S00072-Ja001E-PBCaCOVID_SEV2.00OxfordgPlexK1
S00065-Ja003E-PBCaCOVID_CRIT2.00OxfordgPlexK1
S00048-Ja003E-PBCaCOVID_SEV4.00OxfordgPlexK1
G05112-Ja005E-PBCaCOVID_HCW_MILD6.00OxfordgPlexK1
\n",
+              "
101 rows × 6 columns
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                            Source  Outcome  Death28 Institute Pool_ID  \\\n",
+              "scRNASeq_sample_ID                                                       \n",
+              "S00109-Ja001E-PBCa       COVID_SEV      2.0        0    Oxford  gPlexA   \n",
+              "S00112-Ja003E-PBCa      COVID_MILD      5.0        0    Oxford  gPlexA   \n",
+              "S00005-Ja005E-PBCa      COVID_CRIT      2.0        0    Oxford  gPlexA   \n",
+              "S00061-Ja003E-PBCa       COVID_SEV      4.0        0    Oxford  gPlexA   \n",
+              "S00056-Ja003E-PBCa       COVID_SEV      3.0        0    Oxford  gPlexA   \n",
+              "...                            ...      ...      ...       ...     ...   \n",
+              "S00076-Ja001E-PBCa      COVID_MILD      5.0        0    Oxford  gPlexK   \n",
+              "S00072-Ja001E-PBCa       COVID_SEV      2.0        0    Oxford  gPlexK   \n",
+              "S00065-Ja003E-PBCa      COVID_CRIT      2.0        0    Oxford  gPlexK   \n",
+              "S00048-Ja003E-PBCa       COVID_SEV      4.0        0    Oxford  gPlexK   \n",
+              "G05112-Ja005E-PBCa  COVID_HCW_MILD      6.0        0    Oxford  gPlexK   \n",
+              "\n",
+              "                    binary_condition  \n",
+              "scRNASeq_sample_ID                    \n",
+              "S00109-Ja001E-PBCa                 1  \n",
+              "S00112-Ja003E-PBCa                 1  \n",
+              "S00005-Ja005E-PBCa                 1  \n",
+              "S00061-Ja003E-PBCa                 1  \n",
+              "S00056-Ja003E-PBCa                 1  \n",
+              "...                              ...  \n",
+              "S00076-Ja001E-PBCa                 1  \n",
+              "S00072-Ja001E-PBCa                 1  \n",
+              "S00065-Ja003E-PBCa                 1  \n",
+              "S00048-Ja003E-PBCa                 1  \n",
+              "G05112-Ja005E-PBCa                 1  \n",
+              "\n",
+              "[101 rows x 6 columns]"
+            ]
+          }
+        }
+      ],
+      "id": "dbf86880"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "cell_qc_metadata = patpy.pp.calculate_cell_qc_metrics(\n",
+        "    adata, sample_key=sample_id_col, cell_qc_vars=[\"QC_ngenes\", \"QC_pct_mitochondrial\", \"QC_scrub_doublet_scores\"]\n",
+        ")\n",
+        "n_cells_metadata = patpy.pp.calculate_n_cells_per_sample(adata, sample_id_col)\n",
+        "composition_metadata = patpy.pp.calculate_compositional_metrics(adata, sample_id_col, [cell_type_key], normalize_to=100)\n",
+        "metadata = pd.concat(\n",
+        "    [\n",
+        "        metadata,\n",
+        "        cell_qc_metadata.loc[metadata.index],\n",
+        "        n_cells_metadata.loc[metadata.index],\n",
+        "        composition_metadata.loc[metadata.index],\n",
+        "    ],\n",
+        "    axis=1,\n",
+        ")\n",
+        "metadata"
+      ],
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/pp/basic.py:189: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+            "  metadata = adata.obs[[sample_key, *cell_qc_vars]].groupby(by=sample_key)\n",
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/pp/basic.py:191: FutureWarning: The provided callable  is currently using DataFrameGroupBy.median. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"median\" instead.\n",
+            "  cells_qc_aggregated = metadata.aggregate(agg_function)\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
SourceOutcomeDeath28InstitutePool_IDbinary_conditionmedian_QC_ngenesmedian_QC_pct_mitochondrialmedian_QC_scrub_doublet_scoresn_cells...cell_type_HSCcell_type_MAITcell_type_Mastcell_type_NKcell_type_PBcell_type_PLTcell_type_RETcell_type_cMonocell_type_iNKTcell_type_ncMono
scRNASeq_sample_ID
S00109-Ja001E-PBCaCOVID_SEV2.00OxfordgPlexA11112.00.9607630.0361123984...0.2008031.0040160.00000020.6827312.4598390.0753010.02510028.6646590.0502011.079317
S00112-Ja003E-PBCaCOVID_MILD5.00OxfordgPlexA11068.01.2867510.0548087384...0.1354280.3521130.0000007.6245942.8169010.0677140.00000023.1717230.0135432.559588
S00005-Ja005E-PBCaCOVID_CRIT2.00OxfordgPlexA11123.01.1769370.0663259002...0.0999780.2888250.0000004.5989781.8329260.4443460.0000002.7771610.0000000.444346
S00061-Ja003E-PBCaCOVID_SEV4.00OxfordgPlexA11131.01.3085550.0447874278...0.2103790.3272560.0000008.9527821.0051430.1168770.00000043.0107530.0233753.295933
S00056-Ja003E-PBCaCOVID_SEV3.00OxfordgPlexA1950.01.9791070.0536917600...0.9736840.0394740.0263165.2631581.1315790.2368420.00000039.9605260.0131582.486842
..................................................................
S00076-Ja001E-PBCaCOVID_MILD5.00OxfordgPlexK11251.02.0559210.0410965779...0.0692160.0173040.0173048.9288800.2422560.1557360.00000032.1681950.0173047.527254
S00072-Ja001E-PBCaCOVID_SEV2.00OxfordgPlexK11251.01.5007900.0379535195...0.1347450.5389800.00000012.2810390.5197310.0769970.00000019.0375360.0384991.828681
S00065-Ja003E-PBCaCOVID_CRIT2.00OxfordgPlexK11263.02.2568980.0497183924...0.0509680.0509680.0254843.2110090.4332310.1274210.02548438.8634050.0254844.306830
S00048-Ja003E-PBCaCOVID_SEV4.00OxfordgPlexK11140.02.0321720.0627043444...0.2903600.0290360.0000003.1358891.5969800.0000000.00000023.2288040.0580720.871080
G05112-Ja005E-PBCaCOVID_HCW_MILD6.00OxfordgPlexK11168.51.3157440.0420384432...0.0000000.1353790.0000003.2490970.4738270.0000000.00000027.0983750.0000005.956679
\n",
+              "
101 rows × 27 columns
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                            Source  Outcome  Death28 Institute Pool_ID  \\\n",
+              "scRNASeq_sample_ID                                                       \n",
+              "S00109-Ja001E-PBCa       COVID_SEV      2.0        0    Oxford  gPlexA   \n",
+              "S00112-Ja003E-PBCa      COVID_MILD      5.0        0    Oxford  gPlexA   \n",
+              "S00005-Ja005E-PBCa      COVID_CRIT      2.0        0    Oxford  gPlexA   \n",
+              "S00061-Ja003E-PBCa       COVID_SEV      4.0        0    Oxford  gPlexA   \n",
+              "S00056-Ja003E-PBCa       COVID_SEV      3.0        0    Oxford  gPlexA   \n",
+              "...                            ...      ...      ...       ...     ...   \n",
+              "S00076-Ja001E-PBCa      COVID_MILD      5.0        0    Oxford  gPlexK   \n",
+              "S00072-Ja001E-PBCa       COVID_SEV      2.0        0    Oxford  gPlexK   \n",
+              "S00065-Ja003E-PBCa      COVID_CRIT      2.0        0    Oxford  gPlexK   \n",
+              "S00048-Ja003E-PBCa       COVID_SEV      4.0        0    Oxford  gPlexK   \n",
+              "G05112-Ja005E-PBCa  COVID_HCW_MILD      6.0        0    Oxford  gPlexK   \n",
+              "\n",
+              "                    binary_condition  median_QC_ngenes  \\\n",
+              "scRNASeq_sample_ID                                       \n",
+              "S00109-Ja001E-PBCa                 1            1112.0   \n",
+              "S00112-Ja003E-PBCa                 1            1068.0   \n",
+              "S00005-Ja005E-PBCa                 1            1123.0   \n",
+              "S00061-Ja003E-PBCa                 1            1131.0   \n",
+              "S00056-Ja003E-PBCa                 1             950.0   \n",
+              "...                              ...               ...   \n",
+              "S00076-Ja001E-PBCa                 1            1251.0   \n",
+              "S00072-Ja001E-PBCa                 1            1251.0   \n",
+              "S00065-Ja003E-PBCa                 1            1263.0   \n",
+              "S00048-Ja003E-PBCa                 1            1140.0   \n",
+              "G05112-Ja005E-PBCa                 1            1168.5   \n",
+              "\n",
+              "                    median_QC_pct_mitochondrial  \\\n",
+              "scRNASeq_sample_ID                                \n",
+              "S00109-Ja001E-PBCa                     0.960763   \n",
+              "S00112-Ja003E-PBCa                     1.286751   \n",
+              "S00005-Ja005E-PBCa                     1.176937   \n",
+              "S00061-Ja003E-PBCa                     1.308555   \n",
+              "S00056-Ja003E-PBCa                     1.979107   \n",
+              "...                                         ...   \n",
+              "S00076-Ja001E-PBCa                     2.055921   \n",
+              "S00072-Ja001E-PBCa                     1.500790   \n",
+              "S00065-Ja003E-PBCa                     2.256898   \n",
+              "S00048-Ja003E-PBCa                     2.032172   \n",
+              "G05112-Ja005E-PBCa                     1.315744   \n",
+              "\n",
+              "                    median_QC_scrub_doublet_scores  n_cells  ...  \\\n",
+              "scRNASeq_sample_ID                                           ...   \n",
+              "S00109-Ja001E-PBCa                        0.036112     3984  ...   \n",
+              "S00112-Ja003E-PBCa                        0.054808     7384  ...   \n",
+              "S00005-Ja005E-PBCa                        0.066325     9002  ...   \n",
+              "S00061-Ja003E-PBCa                        0.044787     4278  ...   \n",
+              "S00056-Ja003E-PBCa                        0.053691     7600  ...   \n",
+              "...                                            ...      ...  ...   \n",
+              "S00076-Ja001E-PBCa                        0.041096     5779  ...   \n",
+              "S00072-Ja001E-PBCa                        0.037953     5195  ...   \n",
+              "S00065-Ja003E-PBCa                        0.049718     3924  ...   \n",
+              "S00048-Ja003E-PBCa                        0.062704     3444  ...   \n",
+              "G05112-Ja005E-PBCa                        0.042038     4432  ...   \n",
+              "\n",
+              "                    cell_type_HSC  cell_type_MAIT  cell_type_Mast  \\\n",
+              "scRNASeq_sample_ID                                                  \n",
+              "S00109-Ja001E-PBCa       0.200803        1.004016        0.000000   \n",
+              "S00112-Ja003E-PBCa       0.135428        0.352113        0.000000   \n",
+              "S00005-Ja005E-PBCa       0.099978        0.288825        0.000000   \n",
+              "S00061-Ja003E-PBCa       0.210379        0.327256        0.000000   \n",
+              "S00056-Ja003E-PBCa       0.973684        0.039474        0.026316   \n",
+              "...                           ...             ...             ...   \n",
+              "S00076-Ja001E-PBCa       0.069216        0.017304        0.017304   \n",
+              "S00072-Ja001E-PBCa       0.134745        0.538980        0.000000   \n",
+              "S00065-Ja003E-PBCa       0.050968        0.050968        0.025484   \n",
+              "S00048-Ja003E-PBCa       0.290360        0.029036        0.000000   \n",
+              "G05112-Ja005E-PBCa       0.000000        0.135379        0.000000   \n",
+              "\n",
+              "                    cell_type_NK  cell_type_PB  cell_type_PLT  cell_type_RET  \\\n",
+              "scRNASeq_sample_ID                                                             \n",
+              "S00109-Ja001E-PBCa     20.682731      2.459839       0.075301       0.025100   \n",
+              "S00112-Ja003E-PBCa      7.624594      2.816901       0.067714       0.000000   \n",
+              "S00005-Ja005E-PBCa      4.598978      1.832926       0.444346       0.000000   \n",
+              "S00061-Ja003E-PBCa      8.952782      1.005143       0.116877       0.000000   \n",
+              "S00056-Ja003E-PBCa      5.263158      1.131579       0.236842       0.000000   \n",
+              "...                          ...           ...            ...            ...   \n",
+              "S00076-Ja001E-PBCa      8.928880      0.242256       0.155736       0.000000   \n",
+              "S00072-Ja001E-PBCa     12.281039      0.519731       0.076997       0.000000   \n",
+              "S00065-Ja003E-PBCa      3.211009      0.433231       0.127421       0.025484   \n",
+              "S00048-Ja003E-PBCa      3.135889      1.596980       0.000000       0.000000   \n",
+              "G05112-Ja005E-PBCa      3.249097      0.473827       0.000000       0.000000   \n",
+              "\n",
+              "                    cell_type_cMono  cell_type_iNKT  cell_type_ncMono  \n",
+              "scRNASeq_sample_ID                                                     \n",
+              "S00109-Ja001E-PBCa        28.664659        0.050201          1.079317  \n",
+              "S00112-Ja003E-PBCa        23.171723        0.013543          2.559588  \n",
+              "S00005-Ja005E-PBCa         2.777161        0.000000          0.444346  \n",
+              "S00061-Ja003E-PBCa        43.010753        0.023375          3.295933  \n",
+              "S00056-Ja003E-PBCa        39.960526        0.013158          2.486842  \n",
+              "...                             ...             ...               ...  \n",
+              "S00076-Ja001E-PBCa        32.168195        0.017304          7.527254  \n",
+              "S00072-Ja001E-PBCa        19.037536        0.038499          1.828681  \n",
+              "S00065-Ja003E-PBCa        38.863405        0.025484          4.306830  \n",
+              "S00048-Ja003E-PBCa        23.228804        0.058072          0.871080  \n",
+              "G05112-Ja005E-PBCa        27.098375        0.000000          5.956679  \n",
+              "\n",
+              "[101 rows x 27 columns]"
+            ]
+          }
+        }
+      ],
+      "id": "dec16692"
     },
     {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
prob_0prob_1binary_condition_pred
G05061-Ja005E-PBCa0.5364460.4635540
G05064-Ja005E-PBCa0.5243780.4756220
G05073-Ja005E-PBCa0.5226350.4773650
G05077-Ja005E-PBCa0.5331990.4668010
G05078-Ja005E-PBCa0.5377120.4622880
............
S00134-Ja003E-PBCa0.4895050.5104951
S00142-Ja005E-PBCa0.5093780.4906220
S00148-Ja003E-PBCa0.5206260.4793740
U00515-Ua005E-PBUa0.5332690.4667310
U00519-Ua005E-PBUa0.5515270.4484730
\n",
-       "
101 rows × 3 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "                      prob_0    prob_1  binary_condition_pred\n",
-       "G05061-Ja005E-PBCa  0.536446  0.463554                      0\n",
-       "G05064-Ja005E-PBCa  0.524378  0.475622                      0\n",
-       "G05073-Ja005E-PBCa  0.522635  0.477365                      0\n",
-       "G05077-Ja005E-PBCa  0.533199  0.466801                      0\n",
-       "G05078-Ja005E-PBCa  0.537712  0.462288                      0\n",
-       "...                      ...       ...                    ...\n",
-       "S00134-Ja003E-PBCa  0.489505  0.510495                      1\n",
-       "S00142-Ja005E-PBCa  0.509378  0.490622                      0\n",
-       "S00148-Ja003E-PBCa  0.520626  0.479374                      0\n",
-       "U00515-Ua005E-PBUa  0.533269  0.466731                      0\n",
-       "U00519-Ua005E-PBUa  0.551527  0.448473                      0\n",
-       "\n",
-       "[101 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mixmil_prediction = mixmil.predict(\"binary_condition\")\n",
-    "mixmil_prediction"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "0764b010",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Quality control\n",
+        "\n",
+        "To reduce noise in the representations, we need to remove samples with too few cells:"
+      ],
+      "id": "bcf522ba"
+    },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "              precision    recall  f1-score   support\n",
-      "\n",
-      "           0       0.19      1.00      0.32        10\n",
-      "           1       1.00      0.53      0.69        91\n",
-      "\n",
-      "    accuracy                           0.57       101\n",
-      "   macro avg       0.59      0.76      0.50       101\n",
-      "weighted avg       0.92      0.57      0.65       101\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Make sure that the order of labels is the same in metadata and prediction\n",
-    "y_true = metadata.loc[mixmil_prediction.index, \"binary_condition\"]\n",
-    "print(classification_report(y_true, mixmil_prediction[\"binary_condition_pred\"]))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "02554a32",
-   "metadata": {},
-   "source": [
-    "The prediction is not perfect, but the model is not fully trained as you can see on the loss plot. Let's train it a bit further with a `fine_tune` method:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "4aaa89f0",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "adata = patpy.pp.filter_small_samples(adata, sample_key=sample_id_col, sample_size_threshold=250)"
+      ],
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "0 samples removed: \n"
+          ]
+        }
+      ],
+      "id": "8a5ed833"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n",
-      "Epoch: 100%|██████████| 100/100 [00:56<00:00,  1.76it/s]\n"
-     ]
-    }
-   ],
-   "source": [
-    "mixmil.fine_tune(\"binary_condition\", tasks=\"classification\", n_epochs=100, lr=0.001)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "a6a93493",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Run MixMIL"
+      ],
+      "id": "8651ac51"
+    },
     {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Loss')"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "[MixMIL](https://arxiv.org/abs/2311.02455) is a method, combining mixed models and multiple instance learning. It learns importance of each cell for a supervised task, aggregates cells with these learned weights, and predicts a label of interest. MixedMIL is a light-weight model and is a great baseline for supervised sample-level tasks. Here, we will show how to use it via `patpy` to distinguish healthy people from COVID-19 patients"
+      ],
+      "id": "8e1345a9"
     },
     {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "losses = [step[\"loss\"] for step in mixmil.training_history]\n",
-    "plt.plot(losses, label=\"MixMIL loss\")\n",
-    "plt.xlabel(\"Optimiser step\")\n",
-    "plt.ylabel(\"Loss\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "720409bd",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Initialize MixMIL. Select the layer you would like to use and a list of tasks. Supported tasks are:\n",
+        "- `\"classification\"`\n",
+        "- `\"regression\"`"
+      ],
+      "id": "1c3e1d5b"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil = patpy.tl.supervised.MixMIL(\n",
+        "    sample_key=sample_id_col,\n",
+        "    label_keys=[\"binary_condition\"], \n",
+        "    tasks=[\"classification\"], \n",
+        "    layer=\"X_pca\",\n",
+        "    n_epochs=100\n",
+        ")"
+      ],
+      "execution_count": 11,
+      "outputs": [],
+      "id": "5bcbc398"
     },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "              precision    recall  f1-score   support\n",
-      "\n",
-      "           0       0.19      1.00      0.32        10\n",
-      "           1       1.00      0.53      0.69        91\n",
-      "\n",
-      "    accuracy                           0.57       101\n",
-      "   macro avg       0.59      0.76      0.50       101\n",
-      "weighted avg       0.92      0.57      0.65       101\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "mixmil_prediction = mixmil.predict(\"binary_condition\")\n",
-    "\n",
-    "y_true = metadata.loc[mixmil_prediction.index, \"binary_condition\"]\n",
-    "print(classification_report(y_true, mixmil_prediction[\"binary_condition_pred\"]))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fd85f50c",
-   "metadata": {},
-   "source": [
-    "Interestingly, fine-tuning did not increase the metrics.\n",
-    "\n",
-    "Additionally, the model can be fine-tuned for other tasks. For example, let's add classification of all the disease labels:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "c629951b",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Train the MixMIL model:"
+      ],
+      "id": "00455afa"
+    },
     {
-     "data": {
-      "text/plain": [
-       "Source\n",
-       "COVID_SEV         41\n",
-       "COVID_MILD        18\n",
-       "COVID_CRIT        18\n",
-       "COVID_HCW_MILD    12\n",
-       "HV                10\n",
-       "COVID_LDN          2\n",
-       "Name: count, dtype: int64"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "metadata[\"Source\"].value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "77e62e83",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil.prepare_anndata(adata)"
+      ],
+      "execution_count": 12,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+            "  from .autonotebook import tqdm as notebook_tqdm\n",
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n",
+            "GLMM Init: 100%|██████████| 1/1 [00:00<00:00,  2.99it/s]\n",
+            "Epoch: 100%|██████████| 100/100 [02:04<00:00,  1.25s/it]\n"
+          ]
+        }
+      ],
+      "id": "909d7e38"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n",
-      "GLMM Init: 100%|██████████| 7/7 [00:01<00:00,  4.11it/s]\n",
-      "Epoch: 100%|██████████| 100/100 [02:51<00:00,  1.72s/it]\n"
-     ]
-    }
-   ],
-   "source": [
-    "mixmil.fine_tune(\"Source\", tasks=\"classification\", n_epochs=100, lr=0.001)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "8fe2a383",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We can now display the training history:"
+      ],
+      "id": "48c2591d"
+    },
     {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Loss')"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "losses = [step[\"loss\"] for step in mixmil.training_history]\n",
+        "plt.plot(losses, label=\"MixMIL loss\")\n",
+        "plt.xlabel(\"Optimiser step\")\n",
+        "plt.ylabel(\"Loss\")"
+      ],
+      "execution_count": 13,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Text(0, 0.5, 'Loss')"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          }
+        }
+      ],
+      "id": "7364da73"
     },
     {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "losses = [step[\"loss\"] for step in mixmil.training_history]\n",
-    "plt.plot(losses, label=\"MixMIL loss\")\n",
-    "plt.xlabel(\"Optimiser step\")\n",
-    "plt.ylabel(\"Loss\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "19a193d5",
-   "metadata": {},
-   "source": [
-    "The loss initially jumped, but this is expected because the multi-label classification task is more challenging.\n",
-    "\n",
-    "We can now predict the source labels:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "5077bff9",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "The loss is going down, which is a desired behavior. Note that the number of steps here is bigger than the number of epochs we set. This is because training history contains information for every minibatch of the data. For this dataset and batch size, every epoch consists of 2 steps.\n",
+        "\n",
+        "We can now obtain sample embeddings from the model:"
+      ],
+      "id": "3c3c4d9f"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil_sample_reps = mixmil.get_sample_representations()\n",
+        "mixmil_sample_reps"
+      ],
+      "execution_count": 14,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
dim_0dim_1dim_2dim_3dim_4dim_5dim_6dim_7dim_8dim_9...dim_40dim_41dim_42dim_43dim_44dim_45dim_46dim_47dim_48dim_49
G05061-Ja005E-PBCa-1.3812771.341956-0.457196-1.456421-0.330128-1.155065-0.9131080.5215660.2983530.858071...0.0504550.191479-0.086966-0.1469080.0498810.0678010.042632-0.081675-0.021801-0.128855
G05064-Ja005E-PBCa-0.840356-0.758498-0.385595-0.936781-1.270981-0.677239-0.238136-0.8728340.7757940.139842...-0.0003160.086494-0.003116-0.1678110.169646-0.0170560.009289-0.028307-0.0225680.024029
G05073-Ja005E-PBCa-0.5384730.331862-0.132182-0.686238-0.267157-1.3164240.2371100.9572110.6835760.903618...0.1189590.088980-0.0392370.1307720.1415990.0178220.0179130.0705810.083621-0.170728
G05077-Ja005E-PBCa-0.5270641.9004640.300888-1.442165-0.584309-1.436059-0.1783770.0589340.6156830.767669...0.1765710.101752-0.0598870.1811350.034280-0.0560920.019616-0.0288760.061174-0.013765
G05078-Ja005E-PBCa-0.832603-0.414575-0.206571-1.346403-0.957619-1.585800-0.586254-0.0527730.4197450.945472...0.4432530.189156-0.1112140.0761690.133255-0.0420160.110961-0.1421480.008514-0.070022
..................................................................
S00134-Ja003E-PBCa6.9415520.031779-0.624828-0.2808280.296835-0.387412-0.4490770.100738-0.1259290.074249...-0.0384200.005695-0.0395850.186113-0.0746050.083164-0.0130900.0047230.0809610.004850
S00142-Ja005E-PBCa3.0979142.8504651.0511370.1212250.224610-0.820552-0.1505830.0942370.4027300.786933...-0.1364790.0919330.0334270.0082400.0219390.0001240.152159-0.048620-0.0336450.021786
S00148-Ja003E-PBCa0.7504302.3729790.1467770.036760-0.081484-0.8078870.5074210.3570300.096658-0.360064...-0.073529-0.368383-0.0526340.215808-0.0318420.0766040.1328630.085280-0.0314660.029088
U00515-Ua005E-PBUa-1.5336100.573506-0.5633730.437439-0.800104-0.9477900.095739-0.8863510.364036-0.315162...-0.231965-0.142485-0.208615-0.331639-0.022948-0.1724010.1088610.0089390.0784240.112581
U00519-Ua005E-PBUa-2.3158311.010524-0.5363700.538096-0.152678-0.441404-0.159282-0.569883-0.5227710.313985...0.1368630.1566100.0816930.005688-0.115762-0.0220720.0622070.0408320.0669580.014584
\n",
+              "
101 rows × 50 columns
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                       dim_0     dim_1     dim_2     dim_3     dim_4  \\\n",
+              "G05061-Ja005E-PBCa -1.381277  1.341956 -0.457196 -1.456421 -0.330128   \n",
+              "G05064-Ja005E-PBCa -0.840356 -0.758498 -0.385595 -0.936781 -1.270981   \n",
+              "G05073-Ja005E-PBCa -0.538473  0.331862 -0.132182 -0.686238 -0.267157   \n",
+              "G05077-Ja005E-PBCa -0.527064  1.900464  0.300888 -1.442165 -0.584309   \n",
+              "G05078-Ja005E-PBCa -0.832603 -0.414575 -0.206571 -1.346403 -0.957619   \n",
+              "...                      ...       ...       ...       ...       ...   \n",
+              "S00134-Ja003E-PBCa  6.941552  0.031779 -0.624828 -0.280828  0.296835   \n",
+              "S00142-Ja005E-PBCa  3.097914  2.850465  1.051137  0.121225  0.224610   \n",
+              "S00148-Ja003E-PBCa  0.750430  2.372979  0.146777  0.036760 -0.081484   \n",
+              "U00515-Ua005E-PBUa -1.533610  0.573506 -0.563373  0.437439 -0.800104   \n",
+              "U00519-Ua005E-PBUa -2.315831  1.010524 -0.536370  0.538096 -0.152678   \n",
+              "\n",
+              "                       dim_5     dim_6     dim_7     dim_8     dim_9  ...  \\\n",
+              "G05061-Ja005E-PBCa -1.155065 -0.913108  0.521566  0.298353  0.858071  ...   \n",
+              "G05064-Ja005E-PBCa -0.677239 -0.238136 -0.872834  0.775794  0.139842  ...   \n",
+              "G05073-Ja005E-PBCa -1.316424  0.237110  0.957211  0.683576  0.903618  ...   \n",
+              "G05077-Ja005E-PBCa -1.436059 -0.178377  0.058934  0.615683  0.767669  ...   \n",
+              "G05078-Ja005E-PBCa -1.585800 -0.586254 -0.052773  0.419745  0.945472  ...   \n",
+              "...                      ...       ...       ...       ...       ...  ...   \n",
+              "S00134-Ja003E-PBCa -0.387412 -0.449077  0.100738 -0.125929  0.074249  ...   \n",
+              "S00142-Ja005E-PBCa -0.820552 -0.150583  0.094237  0.402730  0.786933  ...   \n",
+              "S00148-Ja003E-PBCa -0.807887  0.507421  0.357030  0.096658 -0.360064  ...   \n",
+              "U00515-Ua005E-PBUa -0.947790  0.095739 -0.886351  0.364036 -0.315162  ...   \n",
+              "U00519-Ua005E-PBUa -0.441404 -0.159282 -0.569883 -0.522771  0.313985  ...   \n",
+              "\n",
+              "                      dim_40    dim_41    dim_42    dim_43    dim_44  \\\n",
+              "G05061-Ja005E-PBCa  0.050455  0.191479 -0.086966 -0.146908  0.049881   \n",
+              "G05064-Ja005E-PBCa -0.000316  0.086494 -0.003116 -0.167811  0.169646   \n",
+              "G05073-Ja005E-PBCa  0.118959  0.088980 -0.039237  0.130772  0.141599   \n",
+              "G05077-Ja005E-PBCa  0.176571  0.101752 -0.059887  0.181135  0.034280   \n",
+              "G05078-Ja005E-PBCa  0.443253  0.189156 -0.111214  0.076169  0.133255   \n",
+              "...                      ...       ...       ...       ...       ...   \n",
+              "S00134-Ja003E-PBCa -0.038420  0.005695 -0.039585  0.186113 -0.074605   \n",
+              "S00142-Ja005E-PBCa -0.136479  0.091933  0.033427  0.008240  0.021939   \n",
+              "S00148-Ja003E-PBCa -0.073529 -0.368383 -0.052634  0.215808 -0.031842   \n",
+              "U00515-Ua005E-PBUa -0.231965 -0.142485 -0.208615 -0.331639 -0.022948   \n",
+              "U00519-Ua005E-PBUa  0.136863  0.156610  0.081693  0.005688 -0.115762   \n",
+              "\n",
+              "                      dim_45    dim_46    dim_47    dim_48    dim_49  \n",
+              "G05061-Ja005E-PBCa  0.067801  0.042632 -0.081675 -0.021801 -0.128855  \n",
+              "G05064-Ja005E-PBCa -0.017056  0.009289 -0.028307 -0.022568  0.024029  \n",
+              "G05073-Ja005E-PBCa  0.017822  0.017913  0.070581  0.083621 -0.170728  \n",
+              "G05077-Ja005E-PBCa -0.056092  0.019616 -0.028876  0.061174 -0.013765  \n",
+              "G05078-Ja005E-PBCa -0.042016  0.110961 -0.142148  0.008514 -0.070022  \n",
+              "...                      ...       ...       ...       ...       ...  \n",
+              "S00134-Ja003E-PBCa  0.083164 -0.013090  0.004723  0.080961  0.004850  \n",
+              "S00142-Ja005E-PBCa  0.000124  0.152159 -0.048620 -0.033645  0.021786  \n",
+              "S00148-Ja003E-PBCa  0.076604  0.132863  0.085280 -0.031466  0.029088  \n",
+              "U00515-Ua005E-PBUa -0.172401  0.108861  0.008939  0.078424  0.112581  \n",
+              "U00519-Ua005E-PBUa -0.022072  0.062207  0.040832  0.066958  0.014584  \n",
+              "\n",
+              "[101 rows x 50 columns]"
+            ]
+          }
+        }
+      ],
+      "id": "598a80c4"
     },
     {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
prob_COVID_CRITprob_COVID_HCW_MILDprob_COVID_LDNprob_COVID_MILDprob_COVID_SEVprob_HVSource_pred
G05061-Ja005E-PBCa0.0306400.5617690.0743740.0729610.0321380.228119COVID_HCW_MILD
G05064-Ja005E-PBCa0.0295760.6425430.0961330.0663860.0327630.132599COVID_HCW_MILD
G05073-Ja005E-PBCa0.0290370.6962790.0601700.0658210.0305820.118111COVID_HCW_MILD
G05077-Ja005E-PBCa0.0333310.5910170.0727860.0689090.0324330.201525COVID_HCW_MILD
G05078-Ja005E-PBCa0.0273930.6565290.0727470.0483500.0230970.171884COVID_HCW_MILD
........................
S00134-Ja003E-PBCa0.2315760.1259730.1277870.1316560.2391310.143877COVID_SEV
S00142-Ja005E-PBCa0.1022610.2055230.1181410.1709170.1312850.271872HV
S00148-Ja003E-PBCa0.0892730.2061380.1374930.1496480.1019610.315488HV
U00515-Ua005E-PBUa0.0948700.1819810.2206830.0989460.0572350.346284HV
U00519-Ua005E-PBUa0.1131430.0436820.2578340.0751000.0592500.450991HV
\n",
-       "
101 rows × 7 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "                    prob_COVID_CRIT  prob_COVID_HCW_MILD  prob_COVID_LDN  \\\n",
-       "G05061-Ja005E-PBCa         0.030640             0.561769        0.074374   \n",
-       "G05064-Ja005E-PBCa         0.029576             0.642543        0.096133   \n",
-       "G05073-Ja005E-PBCa         0.029037             0.696279        0.060170   \n",
-       "G05077-Ja005E-PBCa         0.033331             0.591017        0.072786   \n",
-       "G05078-Ja005E-PBCa         0.027393             0.656529        0.072747   \n",
-       "...                             ...                  ...             ...   \n",
-       "S00134-Ja003E-PBCa         0.231576             0.125973        0.127787   \n",
-       "S00142-Ja005E-PBCa         0.102261             0.205523        0.118141   \n",
-       "S00148-Ja003E-PBCa         0.089273             0.206138        0.137493   \n",
-       "U00515-Ua005E-PBUa         0.094870             0.181981        0.220683   \n",
-       "U00519-Ua005E-PBUa         0.113143             0.043682        0.257834   \n",
-       "\n",
-       "                    prob_COVID_MILD  prob_COVID_SEV   prob_HV     Source_pred  \n",
-       "G05061-Ja005E-PBCa         0.072961        0.032138  0.228119  COVID_HCW_MILD  \n",
-       "G05064-Ja005E-PBCa         0.066386        0.032763  0.132599  COVID_HCW_MILD  \n",
-       "G05073-Ja005E-PBCa         0.065821        0.030582  0.118111  COVID_HCW_MILD  \n",
-       "G05077-Ja005E-PBCa         0.068909        0.032433  0.201525  COVID_HCW_MILD  \n",
-       "G05078-Ja005E-PBCa         0.048350        0.023097  0.171884  COVID_HCW_MILD  \n",
-       "...                             ...             ...       ...             ...  \n",
-       "S00134-Ja003E-PBCa         0.131656        0.239131  0.143877       COVID_SEV  \n",
-       "S00142-Ja005E-PBCa         0.170917        0.131285  0.271872              HV  \n",
-       "S00148-Ja003E-PBCa         0.149648        0.101961  0.315488              HV  \n",
-       "U00515-Ua005E-PBUa         0.098946        0.057235  0.346284              HV  \n",
-       "U00519-Ua005E-PBUa         0.075100        0.059250  0.450991              HV  \n",
-       "\n",
-       "[101 rows x 7 columns]"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mixmil_source_prediction = mixmil.predict(\"Source\")\n",
-    "mixmil_source_prediction"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "ef2027e2",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "And apply our evaluation metrics to them. Here, we test how well binary condition is predicted from the nearest neighbors in the sample representation space:"
+      ],
+      "id": "f4f7b3b4"
+    },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                precision    recall  f1-score   support\n",
-      "\n",
-      "    COVID_CRIT       0.55      0.67      0.60        18\n",
-      "COVID_HCW_MILD       0.44      1.00      0.62        12\n",
-      "     COVID_LDN       0.00      0.00      0.00         2\n",
-      "    COVID_MILD       0.00      0.00      0.00        18\n",
-      "     COVID_SEV       0.83      0.46      0.59        41\n",
-      "            HV       0.37      1.00      0.54        10\n",
-      "\n",
-      "      accuracy                           0.52       101\n",
-      "     macro avg       0.36      0.52      0.39       101\n",
-      "  weighted avg       0.52      0.52      0.47       101\n",
-      "\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil_distances = mixmil.calculate_distance_matrix()\n",
+        "patpy.tl.evaluate_representation(\n",
+        "    mixmil_distances, \n",
+        "    target=metadata.loc[mixmil.samples, \"binary_condition\"],\n",
+        "    task=\"classification\"\n",
+        ")"
+      ],
+      "execution_count": 15,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "{'score': np.float64(0.5933275812482024),\n",
+              " 'metric': 'f1_macro_calibrated',\n",
+              " 'n_unique': 2,\n",
+              " 'n_observations': 101,\n",
+              " 'method': 'knn'}"
+            ]
+          }
+        }
+      ],
+      "id": "481223f9"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/sklearn/metrics/_classification.py:1833: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/sklearn/metrics/_classification.py:1833: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/sklearn/metrics/_classification.py:1833: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n"
-     ]
-    }
-   ],
-   "source": [
-    "source_true = metadata.loc[mixmil_source_prediction.index, \"Source\"]\n",
-    "print(classification_report(source_true, mixmil_source_prediction[\"Source_pred\"]))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "582be545",
-   "metadata": {},
-   "source": [
-    "The model is now trained to jointly predict binary condition and source:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "ced48c9c",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We can then visualise sample representation using dimensionality reduction methods:"
+      ],
+      "id": "141b6414"
+    },
     {
-     "data": {
-      "text/plain": [
-       "['binary_condition', 'Source']"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mixmil.label_keys"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "408f8f74",
-   "metadata": {},
-   "source": [
-    "We can therefore predict both labels:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "32fbbd3e",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols, continuous_palette=\"tab10\");"
+      ],
+      "execution_count": 16,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
+            "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
+            "  warn(\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          }
+        }
+      ],
+      "id": "eb995473"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Additionally, we can predict a label directly with the model:"
+      ],
+      "id": "9ae302f6"
     },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "              precision    recall  f1-score   support\n",
-      "\n",
-      "           0       0.19      1.00      0.32        10\n",
-      "           1       1.00      0.53      0.69        91\n",
-      "\n",
-      "    accuracy                           0.57       101\n",
-      "   macro avg       0.59      0.76      0.50       101\n",
-      "weighted avg       0.92      0.57      0.65       101\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "mixmil_binary_prediction = mixmil.predict(\"binary_condition\")\n",
-    "binary_condition_true = metadata.loc[mixmil_binary_prediction.index, \"binary_condition\"]\n",
-    "print(classification_report(y_true, mixmil_binary_prediction[\"binary_condition_pred\"]))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "db9f6f90",
-   "metadata": {},
-   "source": [
-    "Let's see how the model represents samples now. We must recompute distances matrix and update the UMAP, otherwise an old embedding will be used:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "id": "e4886ff0",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil_prediction = mixmil.predict(\"binary_condition\")\n",
+        "mixmil_prediction"
+      ],
+      "execution_count": 17,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
prob_0prob_1binary_condition_pred
G05061-Ja005E-PBCa0.5364460.4635540
G05064-Ja005E-PBCa0.5243780.4756220
G05073-Ja005E-PBCa0.5226350.4773650
G05077-Ja005E-PBCa0.5331990.4668010
G05078-Ja005E-PBCa0.5377120.4622880
............
S00134-Ja003E-PBCa0.4895050.5104951
S00142-Ja005E-PBCa0.5093780.4906220
S00148-Ja003E-PBCa0.5206260.4793740
U00515-Ua005E-PBUa0.5332690.4667310
U00519-Ua005E-PBUa0.5515270.4484730
\n",
+              "
101 rows × 3 columns
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                      prob_0    prob_1  binary_condition_pred\n",
+              "G05061-Ja005E-PBCa  0.536446  0.463554                      0\n",
+              "G05064-Ja005E-PBCa  0.524378  0.475622                      0\n",
+              "G05073-Ja005E-PBCa  0.522635  0.477365                      0\n",
+              "G05077-Ja005E-PBCa  0.533199  0.466801                      0\n",
+              "G05078-Ja005E-PBCa  0.537712  0.462288                      0\n",
+              "...                      ...       ...                    ...\n",
+              "S00134-Ja003E-PBCa  0.489505  0.510495                      1\n",
+              "S00142-Ja005E-PBCa  0.509378  0.490622                      0\n",
+              "S00148-Ja003E-PBCa  0.520626  0.479374                      0\n",
+              "U00515-Ua005E-PBUa  0.533269  0.466731                      0\n",
+              "U00519-Ua005E-PBUa  0.551527  0.448473                      0\n",
+              "\n",
+              "[101 rows x 3 columns]"
+            ]
+          }
+        }
+      ],
+      "id": "ea569c59"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n",
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
-      "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
-      "  warn(\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "# Make sure that the order of labels is the same in metadata and prediction\n",
+        "y_true = metadata.loc[mixmil_prediction.index, \"binary_condition\"]\n",
+        "print(classification_report(y_true, mixmil_prediction[\"binary_condition_pred\"]))"
+      ],
+      "execution_count": 18,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "              precision    recall  f1-score   support\n",
+            "\n",
+            "           0       0.19      1.00      0.32        10\n",
+            "           1       1.00      0.53      0.69        91\n",
+            "\n",
+            "    accuracy                           0.57       101\n",
+            "   macro avg       0.59      0.76      0.50       101\n",
+            "weighted avg       0.92      0.57      0.65       101\n",
+            "\n"
+          ]
+        }
+      ],
+      "id": "0764b010"
     },
     {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "mixmil.calculate_distance_matrix()\n",
-    "mixmil.embed(\"UMAP\")\n",
-    "mixmil.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols, continuous_palette=\"tab10\");"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e54c8099",
-   "metadata": {},
-   "source": [
-    "# Running PULSAR"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1e931c0d",
-   "metadata": {},
-   "source": [
-    "Install `helical` to get UCE embeddings. You can use `envs/helical.yaml` conda file in the patpy source directory for an easier installation."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4bf80027",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install patpy[helical]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3635dae4",
-   "metadata": {},
-   "source": [
-    "We need to load the data with raw counts to obtain UCE embeddings"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "74ce4345",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "The prediction is not perfect, but the model is not fully trained as you can see on the loss plot. Let's train it a bit further with a `fine_tune` method:"
+      ],
+      "id": "02554a32"
+    },
     {
-     "data": {
-      "text/plain": [
-       "AnnData object with n_obs × n_vars = 836148 × 20807\n",
-       "    obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID'\n",
-       "    var: 'gene_ids', 'feature_types'\n",
-       "    uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'genome_annotation_version'\n",
-       "    obsm: 'X_umap', 'X_umap_source'\n",
-       "    layers: 'raw'"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "adata = sc.read_h5ad(\"/home/icb/vladimir.shitov/projects/vladimir.shitov/2023_05_patient_representation_benchmark/reproducibility/pat_rep_benchmark/data/combat/combat.h5ad\")\n",
-    "adata"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "id": "51f90489",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil.fine_tune(\"binary_condition\", tasks=\"classification\", n_epochs=100, lr=0.001)"
+      ],
+      "execution_count": 19,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n",
+            "Epoch: 100%|██████████| 100/100 [00:56<00:00,  1.76it/s]\n"
+          ]
+        }
+      ],
+      "id": "4aaa89f0"
+    },
     {
-     "data": {
-      "text/plain": [
-       "array([[0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 2., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 1.],\n",
-       "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 2., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 1., 1., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 8., 1., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        1., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 1., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 2., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n",
-       "        1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],\n",
-       "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.,\n",
-       "        1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        1., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 2., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 2., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 1., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 1., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        1., 0., 0., 2., 0., 0., 0., 1., 0., 1., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],\n",
-       "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        1., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 2., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 1., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "        1., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 4., 0., 0., 0., 0., 0., 0.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
-       "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 2., 3.,\n",
-       "        0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 1., 1.]],\n",
-       "      dtype=float32)"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "adata.layers[\"raw\"][:30, :30].A"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a3e78cc0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "adata.X = adata.layers[\"raw\"]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "84bbcafd",
-   "metadata": {},
-   "source": [
-    "Let's subsample our data object to 1024 cells per sample that PULSAR uses. This will also drastically reduce time to get UCE embeddings"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "3e2b8b1b",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "losses = [step[\"loss\"] for step in mixmil.training_history]\n",
+        "plt.plot(losses, label=\"MixMIL loss\")\n",
+        "plt.xlabel(\"Optimiser step\")\n",
+        "plt.ylabel(\"Loss\")"
+      ],
+      "execution_count": 20,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Text(0, 0.5, 'Loss')"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          }
+        }
+      ],
+      "id": "a6a93493"
+    },
     {
-     "data": {
-      "text/plain": [
-       "View of AnnData object with n_obs × n_vars = 103460 × 20807\n",
-       "    obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'cell_type', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID', 'binary_condition'\n",
-       "    var: 'gene_ids', 'feature_types'\n",
-       "    uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'genome_annotation_version'\n",
-       "    obsm: 'X_umap', 'X_umap_source'\n",
-       "    layers: 'raw'"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "adata = patpy.pp.subsample(adata, obs_category_col=sample_id_col, n_obs=1024, min_samples_per_category=250)\n",
-    "adata"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "id": "5bde9912",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil_prediction = mixmil.predict(\"binary_condition\")\n",
+        "\n",
+        "y_true = metadata.loc[mixmil_prediction.index, \"binary_condition\"]\n",
+        "print(classification_report(y_true, mixmil_prediction[\"binary_condition_pred\"]))"
+      ],
+      "execution_count": 21,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "              precision    recall  f1-score   support\n",
+            "\n",
+            "           0       0.19      1.00      0.32        10\n",
+            "           1       1.00      0.53      0.69        91\n",
+            "\n",
+            "    accuracy                           0.57       101\n",
+            "   macro avg       0.59      0.76      0.50       101\n",
+            "weighted avg       0.92      0.57      0.65       101\n",
+            "\n"
+          ]
+        }
+      ],
+      "id": "720409bd"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2026-03-18 18:53:45,955 - INFO:helical.models.uce.model:Model finished initializing.\n",
-      "2026-03-18 18:53:45,957 - INFO:helical.models.uce.model:'4layer_model' model is in 'eval' mode, on device 'cuda'.\n",
-      "2026-03-18 18:53:45,959 - INFO:helical.models.uce.model:Processing data for UCE.\n",
-      "2026-03-18 18:53:52,059 - INFO:helical.models.uce.gene_embeddings:Finished loading gene embeddings for 'human' from /home/icb/vladimir.shitov/.cache/helical/models/uce/protein_embeddings for model 'ESM2'.\n",
-      "2026-03-18 18:53:52,310 - INFO:helical.models.uce.gene_embeddings:Filtered out 1202 genes to a total of 19605 genes with embeddings.\n",
-      "2026-03-18 18:54:46,924 - INFO:helical.models.uce.uce_utils:Passed the gene expressions (with shape=(103460, 20807) and max gene count data 78359.0) to ./test_counts.npz\n",
-      "2026-03-18 18:54:52,631 - INFO:helical.models.uce.model:Successfully processed the data for UCE.\n",
-      "2026-03-18 18:54:53,273 - INFO:helical.models.uce.model:Started getting embeddings:\n",
-      "100%|██████████| 4311/4311 [58:16<00:00,  1.23it/s]  \n",
-      "2026-03-18 19:53:10,308 - INFO:helical.models.uce.model:Finished getting embeddings.\n"
-     ]
-    }
-   ],
-   "source": [
-    "adata = patpy.pp.basic.get_helical_embedding(adata, model=\"uce\", device=\"cuda\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "6b65975b",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Interestingly, fine-tuning did not increase the metrics.\n",
+        "\n",
+        "Additionally, the model can be fine-tuned for other tasks. For example, let's add classification of all the disease labels:"
+      ],
+      "id": "fd85f50c"
+    },
     {
-     "data": {
-      "text/plain": [
-       "(103460, 1280)"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "adata.obsm[\"X_uce\"].shape"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "dc959c67",
-   "metadata": {},
-   "source": [
-    "Now goes a bit annoying part... At teh time of writing this tutorial, `helical` requires python version <3.13. And to run PULSAR, we need python >= 3.13. So we need to save the object with UCE embeddings now, change the environment to the one containin python 3.13 and run PULSAR from there. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "id": "fa8d1ad9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "adata.write_h5ad(\"data/combat_subsample_with_uce.h5ad\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "03fde513",
-   "metadata": {},
-   "source": [
-    "Load the data after switching the environment"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "c9ad4c9f",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "metadata[\"Source\"].value_counts()"
+      ],
+      "execution_count": 22,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Source\n",
+              "COVID_SEV         41\n",
+              "COVID_MILD        18\n",
+              "COVID_CRIT        18\n",
+              "COVID_HCW_MILD    12\n",
+              "HV                10\n",
+              "COVID_LDN          2\n",
+              "Name: count, dtype: int64"
+            ]
+          }
+        }
+      ],
+      "id": "c629951b"
+    },
     {
-     "data": {
-      "text/plain": [
-       "(103460, 1280)"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "adata = sc.read_h5ad(\"data/combat_subsample_with_uce.h5ad\")\n",
-    "adata.obsm[\"X_uce\"].shape"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b7e8d355",
-   "metadata": {},
-   "source": [
-    "You can now run PULSAR via patpy. Before doing that, make sure to install it by running `pip install git+https://github.com/snap-stanford/PULSAR`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "35720eab",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pulsar = patpy.tl.supervised.PULSAR(\n",
-    "    sample_key=sample_id_col,\n",
-    "    label_keys=[\"binary_condition\"],\n",
-    "    tasks=[\"classification\"]\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "id": "2ea14d34",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil.fine_tune(\"Source\", tasks=\"classification\", n_epochs=100, lr=0.001)"
+      ],
+      "execution_count": 23,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n",
+            "GLMM Init: 100%|██████████| 7/7 [00:01<00:00,  4.11it/s]\n",
+            "Epoch: 100%|██████████| 100/100 [02:51<00:00,  1.72s/it]\n"
+          ]
+        }
+      ],
+      "id": "77e62e83"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Loading weights: 100%|██████████| 203/203 [00:01<00:00, 157.49it/s]\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "losses = [step[\"loss\"] for step in mixmil.training_history]\n",
+        "plt.plot(losses, label=\"MixMIL loss\")\n",
+        "plt.xlabel(\"Optimiser step\")\n",
+        "plt.ylabel(\"Loss\")"
+      ],
+      "execution_count": 24,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Text(0, 0.5, 'Loss')"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          }
+        }
+      ],
+      "id": "8fe2a383"
     },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Resample 0 time\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "The loss initially jumped, but this is expected because the multi-label classification task is more challenging.\n",
+        "\n",
+        "We can now predict the source labels:"
+      ],
+      "id": "19a193d5"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "11it [00:02,  4.66it/s]\n"
-     ]
-    }
-   ],
-   "source": [
-    "pulsar.prepare_anndata(adata)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "c5fa92aa",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pulsar_distances = pulsar.calculate_distance_matrix()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "id": "269da2ba",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil_source_prediction = mixmil.predict(\"Source\")\n",
+        "mixmil_source_prediction"
+      ],
+      "execution_count": 25,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
prob_COVID_CRITprob_COVID_HCW_MILDprob_COVID_LDNprob_COVID_MILDprob_COVID_SEVprob_HVSource_pred
G05061-Ja005E-PBCa0.0306400.5617690.0743740.0729610.0321380.228119COVID_HCW_MILD
G05064-Ja005E-PBCa0.0295760.6425430.0961330.0663860.0327630.132599COVID_HCW_MILD
G05073-Ja005E-PBCa0.0290370.6962790.0601700.0658210.0305820.118111COVID_HCW_MILD
G05077-Ja005E-PBCa0.0333310.5910170.0727860.0689090.0324330.201525COVID_HCW_MILD
G05078-Ja005E-PBCa0.0273930.6565290.0727470.0483500.0230970.171884COVID_HCW_MILD
........................
S00134-Ja003E-PBCa0.2315760.1259730.1277870.1316560.2391310.143877COVID_SEV
S00142-Ja005E-PBCa0.1022610.2055230.1181410.1709170.1312850.271872HV
S00148-Ja003E-PBCa0.0892730.2061380.1374930.1496480.1019610.315488HV
U00515-Ua005E-PBUa0.0948700.1819810.2206830.0989460.0572350.346284HV
U00519-Ua005E-PBUa0.1131430.0436820.2578340.0751000.0592500.450991HV
\n",
+              "
101 rows × 7 columns
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                    prob_COVID_CRIT  prob_COVID_HCW_MILD  prob_COVID_LDN  \\\n",
+              "G05061-Ja005E-PBCa         0.030640             0.561769        0.074374   \n",
+              "G05064-Ja005E-PBCa         0.029576             0.642543        0.096133   \n",
+              "G05073-Ja005E-PBCa         0.029037             0.696279        0.060170   \n",
+              "G05077-Ja005E-PBCa         0.033331             0.591017        0.072786   \n",
+              "G05078-Ja005E-PBCa         0.027393             0.656529        0.072747   \n",
+              "...                             ...                  ...             ...   \n",
+              "S00134-Ja003E-PBCa         0.231576             0.125973        0.127787   \n",
+              "S00142-Ja005E-PBCa         0.102261             0.205523        0.118141   \n",
+              "S00148-Ja003E-PBCa         0.089273             0.206138        0.137493   \n",
+              "U00515-Ua005E-PBUa         0.094870             0.181981        0.220683   \n",
+              "U00519-Ua005E-PBUa         0.113143             0.043682        0.257834   \n",
+              "\n",
+              "                    prob_COVID_MILD  prob_COVID_SEV   prob_HV     Source_pred  \n",
+              "G05061-Ja005E-PBCa         0.072961        0.032138  0.228119  COVID_HCW_MILD  \n",
+              "G05064-Ja005E-PBCa         0.066386        0.032763  0.132599  COVID_HCW_MILD  \n",
+              "G05073-Ja005E-PBCa         0.065821        0.030582  0.118111  COVID_HCW_MILD  \n",
+              "G05077-Ja005E-PBCa         0.068909        0.032433  0.201525  COVID_HCW_MILD  \n",
+              "G05078-Ja005E-PBCa         0.048350        0.023097  0.171884  COVID_HCW_MILD  \n",
+              "...                             ...             ...       ...             ...  \n",
+              "S00134-Ja003E-PBCa         0.131656        0.239131  0.143877       COVID_SEV  \n",
+              "S00142-Ja005E-PBCa         0.170917        0.131285  0.271872              HV  \n",
+              "S00148-Ja003E-PBCa         0.149648        0.101961  0.315488              HV  \n",
+              "U00515-Ua005E-PBUa         0.098946        0.057235  0.346284              HV  \n",
+              "U00519-Ua005E-PBUa         0.075100        0.059250  0.450991              HV  \n",
+              "\n",
+              "[101 rows x 7 columns]"
+            ]
+          }
+        }
+      ],
+      "id": "5077bff9"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
-      "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
-      "  warn(\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "source_true = metadata.loc[mixmil_source_prediction.index, \"Source\"]\n",
+        "print(classification_report(source_true, mixmil_source_prediction[\"Source_pred\"]))"
+      ],
+      "execution_count": 26,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "                precision    recall  f1-score   support\n",
+            "\n",
+            "    COVID_CRIT       0.55      0.67      0.60        18\n",
+            "COVID_HCW_MILD       0.44      1.00      0.62        12\n",
+            "     COVID_LDN       0.00      0.00      0.00         2\n",
+            "    COVID_MILD       0.00      0.00      0.00        18\n",
+            "     COVID_SEV       0.83      0.46      0.59        41\n",
+            "            HV       0.37      1.00      0.54        10\n",
+            "\n",
+            "      accuracy                           0.52       101\n",
+            "     macro avg       0.36      0.52      0.39       101\n",
+            "  weighted avg       0.52      0.52      0.47       101\n",
+            "\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/sklearn/metrics/_classification.py:1833: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+            "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/sklearn/metrics/_classification.py:1833: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+            "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/sklearn/metrics/_classification.py:1833: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+            "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n"
+          ]
+        }
+      ],
+      "id": "ef2027e2"
     },
     {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pulsar.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols, continuous_palette=\"tab10\");"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2672c02a",
-   "metadata": {},
-   "source": [
-    "As we can see, the model doesn't preserve information particularly well, despite being trained on this dataset and having 87 million parameters (on top of underlying 650M for UCE and 15B for ESM2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "7e42a4b4",
-   "metadata": {},
-   "source": [
-    "Let's give PULSAR another change and load the model fine-tuned for disease prediction"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "id": "b4d20bb6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pulsar_aligned = patpy.tl.supervised.PULSAR(\n",
-    "    sample_key=sample_id_col,\n",
-    "    label_keys=[\"binary_condition\"],\n",
-    "    tasks=[\"classification\"],\n",
-    "    pretrained_model=\"KuanP/PULSAR-aligned\"\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "id": "1888349c",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "The model is now trained to jointly predict binary condition and source:"
+      ],
+      "id": "582be545"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Loading weights: 100%|██████████| 203/203 [00:00<00:00, 3414.69it/s]\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil.label_keys"
+      ],
+      "execution_count": 27,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "['binary_condition', 'Source']"
+            ]
+          }
+        }
+      ],
+      "id": "ced48c9c"
     },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Resample 0 time\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We can therefore predict both labels:"
+      ],
+      "id": "408f8f74"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "11it [00:01,  6.07it/s]\n"
-     ]
-    }
-   ],
-   "source": [
-    "pulsar_aligned.prepare_anndata(adata)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "id": "c3f2ec9e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pulsar_aligned_distances = pulsar_aligned.calculate_distance_matrix()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "id": "224b813a",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil_binary_prediction = mixmil.predict(\"binary_condition\")\n",
+        "binary_condition_true = metadata.loc[mixmil_binary_prediction.index, \"binary_condition\"]\n",
+        "print(classification_report(y_true, mixmil_binary_prediction[\"binary_condition_pred\"]))"
+      ],
+      "execution_count": 28,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "              precision    recall  f1-score   support\n",
+            "\n",
+            "           0       0.19      1.00      0.32        10\n",
+            "           1       1.00      0.53      0.69        91\n",
+            "\n",
+            "    accuracy                           0.57       101\n",
+            "   macro avg       0.59      0.76      0.50       101\n",
+            "weighted avg       0.92      0.57      0.65       101\n",
+            "\n"
+          ]
+        }
+      ],
+      "id": "32fbbd3e"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
-      "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
-      "  warn(\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Let's see how the model represents samples now. We must recompute distances matrix and update the UMAP, otherwise an old embedding will be used:"
+      ],
+      "id": "db9f6f90"
     },
     {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAACU8AAAHACAYAAACY6Au6AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3Wd0VNXXgPFneslMeieBUEKVjvSqIKCCIILwVwFBLIAKiL2ABREURUVEUYodREFsIKCAICgdhQChSUtI723a+yEvgZiZkJAyKfu3VtZyzrkzs2eI9+Tes88+CofD4UAIIYQQQgghhBBCCCGEEEIIIYQQQgghahmluwMQQgghhBBCCCGEEEIIIYQQQgghhBBCCHeQ5CkhhBBCCCGEEEIIIYQQQgghhBBCCCFErSTJU0IIIYQQQgghhBBCCCGEEEIIIYQQQohaSZKnhBBCCCGEEEIIIYQQQgghhBBCCCGEELWSJE8JIYQQQgghhBBCCCGEEEIIIYQQQgghaiVJnhJCCCGEEEIIIYQQQgghhBBCCCGEEELUSpI8JYQQQgghhBBCCCGEEEIIIYQQQgghhKiVJHlKCCGEEEIIIYQQQgghhBBCCCGEEEIIUSup3R1AWdjtdi5cuIDZbEahULg7HCGEqLIcDgfp6emEhoaiVNbuvFkZO4QQomRk7Mgn44YQQpSMjBuXydghhBAlI2NHPhk3hBCi5GTsyCdjhxBClExpxo1qnTx14cIFwsPD3R2GEEJUG2fPniUsLMzdYbiVjB1CCFE6tX3skHFDCCFKp7aPGyBjhxBClFZtHztk3BBCiNKTsUPGDiGEKI2SjBvVOnnKbDYD+R/U09PTzdEIIUTVlZaWRnh4eMF5szaTsUMIIUpGxo58Mm4IIUTJyLhxmYwdQghRMjJ25JNxQwghSk7GjnwydgghRMmUZtyo1slTl8oQenp6ysAghBAlIOVbZewQQojSqu1jh4wbQghROrV93AAZO4QQorRq+9gh44YQQpSejB0ydgghRGmUZNyovZvBCiGEEEIIIYQQQgghhBBCCCGEEEIIIWo1SZ4SQgghhBBCCCGEEEIIIYQQQgghhBBC1EqSPCWEEEIIIYQQQgghhBBCCCGEEEIIIYSoldTuDqCiORwOrFYrNpvN3aEIUWIqlQq1Wl3r92wWwl1sNhsWi8XdYVRJcn4SQoii5JqjMBkrhBDi6mTsqJ1kjBRCCCGEEJVFrjlqF41Gg0qlcncYQlRrNTp5Ki8vj5iYGLKystwdihClZjQaCQkJQavVujsUIWqVjIwMzp07h8PhcHcoVZacn4QQ4jK55nBOxgohhHBNxo7aTcZIIYQQQghR0eSao/ZRKBSEhYVhMpncHYoQ1VaNTZ6y2+2cOnUKlUpFaGgoWq1WVnWJasHhcJCXl0d8fDynTp0iMjISpVJ22BSiMthsNs6dO4fRaCQgIEDGjf+Q85MQQhQm1xxFyVghhBDFk7Gj9pIxUgghhBBCVAa55qh9HA4H8fHxnDt3jsjISKlAJcQ1qrHJU3l5edjtdsLDwzEaje4OR4hSMRgMaDQa/v33X/Ly8tDr9e4OSYhawWKx4HA4CAgIwGAwuDucKknOT0IIcZlcczgnY4UQQrgmY0ftJmOkEEIIIYSoaHLNUTsFBARw+vRpLBaLJE8JcY1q/PImWcElqiv53RXCfWQVRvHk/CSEEIXJebEo+U6EEKJ4cp6sveTfXgghhBBCVAb5u7N2kXktIcpOzppCCCGEEEIIIYQQQgghhBBCCCGEEEKIWkmSp4QQQgghhBBCCCGEEEIIIYQQQgghhBC1kiRPCSFEOXI4HFzIuMDPJ3/m9V2vs/b4Ws6nn8fusLs7NCGEEFVUWraFY7HpvLMpmjk/H2HvmWQSMnLdHZaoAZYtW4a3t7e7wxBCVIS0C3BsPax/Dv76EJJOgiXH3VEJ4ZKMSUK4V2aulVPxGXz0+0le/SmKbdHxXEyTcUMIIYRrcbkWdqRk8NLx87z770WiM3NIt9rcHZYoB71792bKlCku+yMiIpg/f36lxVPd/Pf7K8n3NXPmTNq0aVOhcQnhdlYLJJ2G3ctg/bMQ9T2knnN3VKUiyVO1RHx8PA899BB169ZFp9MRHBxM//792b59u7tDE6JGOZFyghE/jOCJ35/gk8Of8Oz2Zxn2/TCiEqNwOBzuDk+Ug7NnzzJu3DhCQ0PRarXUq1ePRx99lMTExBK/xunTp1EoFOzfv7/iAhVCVAspWXl8vO0UN83fypsbjvH+lhPcvvAPpn99gLh0mcyo7saOHYtCoUChUKDRaAgKCqJfv34sWbIEu718E6uv9cbW4sWL6dGjBz4+Pvj4+NC3b1/++uuvQsdkZGQwefJkwsLCMBgMNG/enEWLFpVT5EKIUkv+F5beDF+MgB3vwk+Pw4Lr4dRWsOa5OzpRTY0dO5YhQ4aUy2s5G5PuvPNOjh07VvD4WicPNm/ejEKhICUlpWxBClGLZOVZ2Rh1kRve3MIrP0bx4daT3P3xX4xZ8hcxKdnuDk8IIUQVFJubx7h/TjF033EWno1n1skYevx1hFWxSaRbre4OT1SwXbt2cf/997s7jGrjv9+XQqFgzZo1hY6ZPn06mzZtquTIhKhENiuc+wsWdoQfHoUdC2DF3fBRX0g84e7oSkySp2qJYcOGsW/fPpYvX86xY8dYu3YtvXv3LtVkf2nl5clNW1G7JGQnMG3LNFJzUwu1Z1oyeeS3R4jLjnNTZKK8nDx5kg4dOhAdHc2XX37J8ePHWbRoEZs2baJLly4kJSW5O0QhRDVzJjGLtzdFF2nffDSeDYcvuiEiUd4GDBhATEwMp0+f5ueff6ZPnz48+uij3HrrrVirwA3HzZs3M2rUKH777Td27NhBeHg4N910E+fPny84Ztq0aaxbt47PPvuMqKgopkyZwuTJk1m7dq0bIxeilspNh/XPQPKpwu12K6y8G9IvuCcuIa7CYDAQGBjo7jCEqJXi0nKZumI//13TdyQ2nYWbj5MrVUSEEEJcwWp38OmFRHanZRXpezr6PBdy3X8vQ1SsgIAAjEZjhb5HTZpDLsn3ZTKZ8PPzq6SIhHCDjFj4ahRY/7OjRnoMfDcZspLdE1cpSfJULZCSksLvv//OnDlz6NOnD/Xq1aNjx448/fTTDB48GIAzZ85w2223YTKZ8PT0ZMSIEVy8eHnCztkKxClTptC7d++Cx71792by5MlMmTIFf39/+vfvD8ChQ4e49dZb8fT0xGw206NHD06cuJxh+NFHH9GsWTP0ej1NmzZl4cKFFfdlCFGBknOSOZV6ymlfXFYcidkVl6woKsekSZPQarX88ssv9OrVi7p16zJw4EA2btzI+fPnefbZZwHnKwu8vb1ZtmwZAPXr1wegbdu2KBSKQufSJUuW0KJFC3Q6HSEhIUyePLmg72rn6kurt5csWULdunUxmUxMnDgRm83G3LlzCQ4OJjAwkFmzZhWKLSUlhfvuu4+AgAA8PT254YYbOHDgQDl+c0IIZ2w2O5/++a/L/o9/P0V8umzfV91dqvpap04d2rVrxzPPPMN3333Hzz//XDAuXO08fOLECW677TaCgoIwmUxcf/31bNy4saC/d+/e/Pvvv0ydOrWg0tWV1q9fT7NmzTCZTAXJXJd8/vnnTJw4kTZt2tC0aVM++ugj7HZ7odVwf/zxB2PGjKF3795ERERw//3307p16yIVqoQQlSArEY7+5LzPmgsxBys3HlEj9e7dm0ceeYQnnngCX19fgoODmTlzZkG/w+Fg5syZBdXNQ0NDeeSRRwqe62xMunLbvmXLlvHiiy9y4MCBgmOWLVvmtEJvSkoKCoWCzZs3c/r0afr06QOAj48PCoWCsWPHAmC325k9ezb169fHYDDQunVrVq1aVeHflRDVwdboeOwuiqGv3H2OhIyaM3kphBCi7OItVpacS3DZv+Zi9ZgAF8WzWq1MnjwZLy8v/P39ef755wt2T/lvJVmFQsFHH33E0KFDMRqNREZGFlpQZ7PZGD9+fMHf4k2aNOHtt98u9H6X5plnzZpFaGgoTZo04aWXXuK6664rElubNm14/vnnS/Q5ymM+5dNPPyUiIgIvLy9GjhxJenp6wTGZmZmMHj0ak8lESEgI8+bNKxLDld9XREQEAEOHDkWhUBQ8/m/lXbvdzksvvURYWBg6nY42bdqwbt26gv5L10bffvstffr0wWg00rp1a3bs2FGi70WISpd0CnJSnfed+QOyXI8rVYkkT9UCJpMJk8nEmjVryM0tOgFnt9u57bbbSEpKYsuWLWzYsIGTJ09y5513lvq9li9fjlarZfv27SxatIjz58/Ts2dPdDodv/76K3v27GHcuHEFq+w///xzXnjhBWbNmkVUVBSvvvoqzz//PMuXLy/z5xaisuXZi7/ZlGOV7Zeqs6SkJNavX8/EiRMxGAyF+oKDg7nrrrtYsWJFibZnvDTZvHHjRmJiYvj2228BeP/995k0aRL3338/f//9N2vXrqVRo0ZAyc/VJ06c4Oeff2bdunV8+eWXfPzxx9xyyy2cO3eOLVu2MGfOHJ577jn+/PPPgucMHz6cuLg4fv75Z/bs2UO7du248cYbpZKWEBXM5oDEYiYqUrMt2FzNcohq7YYbbqB169YF5/+rnYczMjK4+eab2bRpE/v27WPAgAEMGjSIM2fOAPDtt98SFhbGSy+9RExMTKHkqKysLN544w0+/fRTtm7dypkzZ5g+fbrL2LKysrBYLPj6+ha0de3albVr13L+/HkcDge//fYbx44d46abbqqIr0cIURybBRzFbPuZJX+/ifKxfPlyPDw8+PPPP5k7dy4vvfQSGzZsAOCbb77hrbfe4oMPPiA6Opo1a9bQsmVLoPgx6ZI777yTxx57jBYtWhQcU5J7UOHh4XzzzTcAHD16lJiYmIJJmdmzZ/PJJ5+waNEiDh06xNSpU7n77rvZsmVLeX0lQlRbiRmuF2TkWu1yzSGEEKIQh8NBajFVCePyLJUYjagoy5cvR61W89dff/H222/z5ptv8tFHH7k8/sUXX2TEiBEcPHiQm2++mbvuuqvgvpXdbicsLIyvv/6aw4cP88ILL/DMM8+wcuXKQq+xadMmjh49yoYNG/jhhx8YN24cUVFR7Nq1q+CYffv2cfDgQe69996rfobymk9Zs2YNP/zwAz/88ANbtmzhtddeK+h//PHH2bJlC9999x2//PILmzdvZu/evS5juvRZli5dSkxMTKHPdqW3336befPm8cYbb3Dw4EH69+/P4MGDiY4uvEPBs88+y/Tp09m/fz+NGzdm1KhRVaKSvRBFuEqcusRWPRZsqN0dgKh4arWaZcuWMWHCBBYtWkS7du3o1asXI0eOpFWrVmzatIm///6bU6dOER4eDsAnn3xCixYt2LVrF9dff32J3ysyMpK5c+cWPH7mmWfw8vLiq6++QqPRANC4ceOC/hkzZjBv3jxuv/12IL8ay+HDh/nggw8YM2ZMeXx8ISqNt84bvUpPjq1okpRKoSLAGOCGqER5iY6OxuFw0KxZM6f9zZo1Izk5mfj4+Ku+VkBA/u+Cn58fwcHBBe2vvPIKjz32GI8++mhB26VzcEnP1Xa7nSVLlmA2m2nevDl9+vTh6NGj/PTTTyiVSpo0acKcOXP47bff6NSpE9u2beOvv/4iLi4OnU4HwBtvvMGaNWtYtWqV7G0uRAXSqpXcfF0wvx5xvq1rj8b+eOrlz/WaqmnTphw8eLBE5+HWrVvTunXrgue+/PLLrF69mrVr1zJ58mR8fX1RqVSYzeZC4wqAxWJh0aJFNGzYEIDJkyfz0ksvuYzrySefJDQ0lL59+xa0vfvuu9x///2EhYWhVqtRKpUsXryYnj17ludXIoQoCZ0ZvOtCyhnn/WHtKjceUWO1atWKGTNmAPn3ehYsWMCmTZvo168fZ86cITg4mL59+6LRaKhbty4dO3YEKHZMusRgMGAymVCr1S6PcUalUhUk9wYGBhZUssrNzeXVV19l48aNdOnSBYAGDRqwbds2PvjgA3r16nWtX4MQNUL3yADe3nTcaV+LUE9MOlUlRySEEKIq81Ap6eZt4veUDKf9A/29KjkiURHCw8N56623UCgUNGnShL///pu33nqLCRMmOD1+7NixjBo1CoBXX32Vd955h7/++osBAwag0Wh48cUXC46tX78+O3bsYOXKlYwYMaKg3cPDg48++gitVlvQ1r9/f5YuXVowv7F06VJ69epFgwYNrvoZyms+ZdmyZZjNZgDuueceNm3axKxZs8jIyODjjz/ms88+48YbbwTyk87CwsJcxnRp7sfb27vYa5033niDJ598kpEjRwIUzNnMnz+f9957r+C46dOnc8sttwD5CWwtWrTg+PHjNG3a9KrfjxCVyr+x6z6jH+i9Ky2UspDKU7XEsGHDuHDhAmvXrmXAgAFs3ryZdu3asWzZMqKioggPDy8YPACaN2+Ot7c3UVFRpXqf9u3bF3q8f/9+evToUZA4daXMzExOnDjB+PHjC6pjmUwmXnnllULb+glRHaTlppFlyeLe65xnw9/T/B789LKfcU1QkspS1yIuLo4LFy4U/BH+XyU9V0dERBT8oQ8QFBRE8+bNUSqVhdri4vKTNQ4cOEBGRgZ+fn6FzsWnTp2Sc7EQFSwmJZsmIWbqeBuK9OnUSib3icSok+SpmsrhcKBQKEp0Hs7IyGD69Ok0a9YMb29vTCYTUVFRBZWnimM0GgsSpwBCQkIKxoD/eu211/jqq69YvXo1er2+oP3dd99l586drF27lj179jBv3jwmTZpUaOtAIUQlyMuCvEzo85zz/kY3gTm0cmMSNVarVq0KPb5y/Bg+fDjZ2dk0aNCACRMmsHr1areufj5+/DhZWVn069ev0Fj6ySefyDWNqPXi0nLQa1S0Cis60a1QwIxBzfH10LkhMiGEEFWR3W5FYznPMxFm1Iqi/Y2NOq4zF72PJaqfzp07F2yxDdClSxeio6Ox2ZxXHbvy+sDDwwNPT89C95fee+892rdvT0BAACaTiQ8//LDIfauWLVsWSpwCmDBhAl9++SU5OTnk5eXxxRdfMG7cuKvGX1HzKVde95w4cYK8vDw6depU0O/r60uTJk2uGl9x0tLSuHDhAt26dSvU3q1btyLz8ld+7yEhIQAu7+sJ4TaZ8WDJghbDnPf3exnMJV845U4yG1OL6PV6+vXrR79+/Xj++ee57777mDFjBo899thVn6tUKoskDFgsRUtzenh4FHr8362trpSRkZ+1vnjx4kIDD+SvJhSiusiyZLHm+Bpe3/06D7d9mCeuf4LPoz7nfMZ5goxBPNDqAW6seyNGjdHdoYoyaNSoEQqFgqioKIYOHVqkPyoqCh8fHwICAlAoFCU6Z16puPNlafw3WVWhUDhts9vzt3vJyMggJCSEzZs3F3mtSyu5hRDl70JKNnd99CfZeTbmDGvJN3vPs+6fWCx2O90b+vPsLc2I8JNxoyaLioqifv36JToPT58+nQ0bNvDGG2/QqFEjDAYDd9xxB3l5Vy937GwMcJYI/MYbb/Daa6+xcePGQjdmsrOzeeaZZ1i9enXBSrdWrVqxf/9+3njjjUIVqoQQFchmhZObYcVd0OYuGPoBbH8b4g6DwQc6PQTtx4CHv7sjFTVEcdcQ4eHhHD16lI0bN7JhwwYmTpzI66+/zpYtW5wuniupSws+rhynrnYdBZfvL/3444/UqVOnUN+lqo5C1EZxaTk8+tU+Dp5LZf7INmw5lsDqvefIzLPRKsyLF25tTvNQT3eHKYQQogpJzzjM3r0j8fDuyjctnuHVMxb+TMvGoFTwvxBfJtYNIlinvfoLiRqnuOuDr776iunTpzNv3jy6dOmC2Wzm9ddf588//yz0nP/OIQMMGjQInU7H6tWr0Wq1WCwW7rjjjqvGU5HzKZc+V1VwZXyXkt2qUnxCkJUEm16C/Z/DoHfArz7sWQaZCeDXCPq9BPW6gbJ65H5I8lQt1rx5c9asWUOzZs04e/YsZ8+eLcjAPXz4MCkpKTRv3hzILzP4zz//FHr+/v37r3pTrFWrVixfvhyLxVLk2KCgIEJDQzl58iR33XVXOX4yISpXQnYC8/bMA+Ddfe/SzLcZY1uMxVfvi91hp2toVzx1cjOquvPz86Nfv34sXLiQqVOnFvrjPDY2ls8//5zRo0ejUCgICAggJiamoD86OpqsrKyCx5dWV1y5isNsNhMREcGmTZvo06dPkfcvybn6WrRr147Y2FjUajURERHX/DpCiJKz2R18u/ccpxIyAbj/0z3c0iqEN0e0RqlUEO5joGmIjBs12a+//srff//N1KlTCQsLu+p5ePv27YwdO7YgeTcjI4PTp08XOkar1bpcHXg1c+fOZdasWaxfv54OHToU6rNYLFgslkIVDCF/sYPcrBGiEmXEwpqHwGGHfZ/Cv9uh/VjwiQBbHkT0BHOQu6MUtYjBYGDQoEEMGjSISZMm0bRpU/7++2/atWtXojHJ2TGXtriIiYmhbdu2QP69p/8+DwpfSzVv3hydTseZM2dkiz4hrrD/bAo7TiYB8OBne7mhaSCzhrZEq1biZdDQrq4PSqWTsiJCCCFqpby8BKKinsRuzyU96Te0Gf/wcug41OHtwGEh3CsUs14Sp2qK/yY27dy5k8jIyGsqbrF9+3a6du3KxIkTC9pKWgFWrVYzZswYli5dilarZeTIkSVKjKqM+ZSGDRui0Wj4888/qVu3LgDJyckcO3as2OsOjUZT7PWQp6cnoaGhbN++vdDrbN++vWA7dCGqjZQzsPeT/P/+bhJEdIe+M0HnCQoVNLgBtNWnYqEkT9UCiYmJDB8+nHHjxtGqVSvMZjO7d+9m7ty53HbbbfTt25eWLVty1113MX/+fKxWKxMnTqRXr14Fkyc33HADr7/+Op988gldunThs88+459//im4meXK5MmTeffddxk5ciRPP/00Xl5e7Ny5k44dO9KkSRNefPFFHnnkEby8vBgwYAC5ubns3r2b5ORkpk2bVhlfjxBldijxEHbH5cnDqKQoZv05q+Dx90O+l+SpGmLBggV07dqV/v3788orr1C/fn0OHTrE448/Tp06dZg1K//f/YYbbmDBggV06dIFm83Gk08+WSiBNDAwEIPBwLp16wgLC0Ov1+Pl5cXMmTN58MEHCQwMZODAgaSnp7N9+3YefvjhEp2rr0Xfvn3p0qULQ4YMYe7cuTRu3JgLFy7w448/MnTo0DK9thDCucSMXFbsPlvwONdq59u95/l273kA+jYL5L272qFTV4/VGKJ4ubm5xMbGYrPZuHjxIuvWrWP27NnceuutjB49GqVSedXzcGRkJN9++y2DBg1CoVDw/PPPF0lcioiIYOvWrYwcORKdToe/f8mqz8yZM4cXXniBL774goiICGJjYwEKtjzy9PSkV69ePP744xgMBurVq8eWLVv45JNPePPNN8v9+xJCuJARDzkplx8nnYQNL1x+fP8WSZ4SlWbZsmXYbDY6deqE0Wjks88+KxgjoGRjUkREBKdOnWL//v2EhYVhNpsxGAx07tyZ1157jfr16xMXF8dzzxXeprJevXooFAp++OEHbr75ZgwGA2azmenTpzN16lTsdjvdu3cnNTWV7du34+npyZgxYyrlexGiKsnOs/HZzn8LHtvsDjYcvsiGwxcBaBjgwYoHuuBvkupsQggh8lksqWRmHit4nJcXT/zpOQWP/Vsuwqzv547QRAU4c+YM06ZN44EHHmDv3r28++67zJs375peKzIykk8++YT169dTv359Pv30U3bt2kX9+vVL9Pz77ruPZs2aAfkJRCVV0fMpJpOJ8ePH8/jjj+Pn50dgYCDPPvtskQWG/3Upqatbt27odDp8fHyKHPP4448zY8YMGjZsSJs2bVi6dCn79+/n888/L/HnF6JKOLS68OPT2/J/AFQaeOQAaOsUfV4VVfz/3aJGMJlMdOrUibfeeouePXty3XXX8fzzzzNhwgQWLFiAQqHgu+++w8fHh549e9K3b18aNGjAihUrCl6jf//+PP/88zzxxBNcf/31pKenM3r06Ku+t5+fH7/++isZGRn06tWL9u3bs3jx4oIkgvvuu4+PPvqIpUuX0rJlS3r16sWyZctKPKAKURU42/qmUD/F94vqIzIykt27d9OgQQNGjBhBw4YNuf/+++nTpw87duzA19cXgHnz5hEeHk6PHj343//+x/Tp0zEaL2+/pVareeedd/jggw8IDQ3ltttuA2DMmDHMnz+fhQsX0qJFC2699Vaio6MBSnSuvhYKhYKffvqJnj17cu+999K4cWNGjhzJv//+S1CQTMAJUVGKGzpsdpCho+ZYt24dISEhREREMGDAAH777TfeeecdvvvuO1QqVYnOw2+++SY+Pj507dqVQYMG0b9/f9q1a1fofV566SVOnz5Nw4YNCyp3lMT7779PXl4ed9xxByEhIQU/b7zxRsExX331Fddffz133XUXzZs357XXXmPWrFk8+OCD5fMlCSFKQCq9iarD29ubxYsX061bN1q1asXGjRv5/vvv8fPzA0o2Jg0bNowBAwbQp08fAgIC+PLLLwFYsmQJVquV9u3bM2XKFF555ZVCz6tTpw4vvvgiTz31FEFBQUyePBmAl19+meeff57Zs2fTrFkzBgwYwI8//ij3l0St5cCBvZhrCrvj6vezhBBC1DZXGRccck1Sk4wePZrs7Gw6duzIpEmTePTRR7n//vuv6bUeeOABbr/9du688046depEYmJioSpUVxMZGUnXrl1p2rQpnTp1KvHzKmM+5fXXX6dHjx4MGjSIvn370r17d9q3b1/sc+bNm8eGDRsIDw93WYTkkUceYdq0aTz22GO0bNmSdevWsXbtWiIjI0sVnxBuZy+m6rTDQXWb6FA4qvFVUlpaGl5eXqSmpuLpWbiqS05ODqdOnaJ+/fro9Xo3RSjEtZPf4erj37R/GbR6kNMkqcY+jVncbzG+Bl83RHZZcefL2kbGjrKT70mIsrHa7Ly9KZp3fz3utH/xPe3p1yK4kqMqSsaOfDJuXBv5boQoZyln4f0ukJtetM/gAw9uA6+wyo/rCjJuXCZjhyiO/A6IyvLDwQtM/mKf077pNzXmod6NULl52z4ZO/LJ9yCEqApyc+PZu+9/ZGWddNKrpEvnjRiN9So9rv+Sc2a+mnTN4XA4iIyMZOLEibIrURlUt393UUOc2w0f3ei8r8VQuO090HpUbkz/UZpxQypPCSFEGfnp/Xio9UNF2jVKDTO6zChz4lS2NZuLmRe5mHkRi81SptcSQgjhfmqVkpEd61LHu+he3+3r+dAq3LvM75GYnUhsZizJOcllfi0hhBBVgDkYbp1ftF2hgEFvg6lsSbd5VhuxqdnEpGaTYylm1aAQQohq4/oIX1qHeRVpD/c1cHu7sDInTiVn5hGTkk18ek6ZXkcIIUTVoNMF0KzpaygUmiJ9DRs8hlZbdCvm0rDbbGQkJZKemEBedlaZXkvUHPHx8SxYsIDY2Fjuvfded4cjhCgtnwhocXvRdr033PBc2ROnctIg9Tykx4K94isgqiv8HYQQooYzaU2MajqKdkHt+OjgR1zMvki7wHaMaTGGMNO1r/62O+ycTT/LBwc+YNOZTWhVWm6PvJ1RTUcR7OH+iiRCCCGuXR1vAysf7MLa/RdYs+88GrWC0V0i6NU4gCDPa18ZlJKbwp7YPSzYv4Cz6Wep71WfR9o+QuuA1njqau9qPCGEqPZUGmg8ACb8Br/Pg4RjENgMuk8D/0hQXfvtnXPJWSzZdopv9p7HZndwS8tgJvZpRD0/964MFEIIUTZBnno+uKcDm4/G8enOf7HaHAxrX4dbW4US6mQhR0ll5Fg4HJPGa+uOcOh8GqHeBib3aUTvJgH4mXTl+AmEEEJUNrO5JZ06/sC/Zz4iNXUvOl0IEREPYTY1Ra2+9uuDjKRE/tm8gf3rfyQ3O4uIVu3odufd+ITUQaWWqeraLDAwEH9/fz788EN8fHwK9ZlMJpfP+/nnn+nRo0dFhyeEuBoPfxg4J7/K1I53IScVGg+EDveCdxmqFVpz8+99bXoRTm/Lr7re6SFoNSJ/gWEFkRFJCCHKgbfem04hnWjh14JcWy4mjQmdumw3jM6ln2PkDyPJsGQAkGXNYsk/S/j1zK98dNNHBHkElUfoQggh3KSOt4H7ezZgRIcwlAoFPh7aMr1ejjWHVUdX8fa+twvajiQdYeKmiTzX+Tlub3Q7GlXR1YNCCCGqCZ0J6rSD2z+EvCzQGEFXtgSnCynZ3PnBTs6nZBe0rdh9jg1RcXw3qRvhvsayRi2EEMKNgr30jOxYl/4tgnHgwNugRVmGilMOh4PtJxJ54NM9BW2nEjJ57OsDjOlaj8duaoKnXq45hBCiulKptHh4NKJJ45nYbBkolXrUatcJLCWRkZzEd/NmEXv8WEHb8V07OLV/N3e9+hYBdSPKGLWozhwOh8u+/fv3u+yrU6dOBUQjhLgmpkBoPhjq9wCbFQze+YsAy+LiYfi4L9it+Y8t2bDheTi+CYYtzn/PCiDb9gkhRDkyaU34GfzKnDiVa81l6aGlBYlTVzqddpq9cXvL9PpCCCGqBpVSgZ9JV+bEKYCE7AQWHljotO/N3W+SkJ1Q5vcQQghRBWg9wBRQ5sQph8PBpqiLhRKnLknKzOOrv85gsVV8SXQhhBAVz8dDi6+HrkyJUwCxaTk8v+Yfp32f7PiXxPTcMr2+EEKIqkGl0qPV+pc5cQog8fzZQolTl9gsFn7/Yjm5WZllfg9RMzVq1Mjlj8Fw7VU0hRAVxOCTf7+qrIlTWUnw8xOXE6eudGozJP9bttcvhiRPCSFqPIfDgdXZCbYKS81LZfPZzS77vz/xPXm2vEqLRwghah2btVL20C5PCdkJWOwWp31Z1iyScpIqOSIhhKhdqluiUUaulbUHLrjs/+mfWFKznI8rQgghys5mt2O3u662UBWlZVuIc5Eg5XDA0YtFFwEKIYQoP1Zr9ZrnAIjeud1l3+kDe8jLzqrEaIQQopax250nIVVluelw7i/X/dEbKuytZds+IUSNlZabxrmMc6w6toqE7AT61utLx+COBHtU3F6o5UWJEoPadea8WWtGqZD8VyGEKHep5+HMTjj0DRh88/fm9qkPRl93R3ZVGmXxKzrUSvnTXwghyltWnpULKdms3H2Ok/EZdGnoz03NgwjzMaBQlK26R0VTK5V46FyPDUatClUZK5QIIYQoKi4th8MxaazYdRaNSsmojuFEBpnxN5WtinllUKuKvxfloVVVUiRCCFF72Gw2UlNT+eeffzh//jxBQUG0bt0aLy8v1Oqqf69H5+G6Yq5Gp4Mqft0khBDVUmYCJETD7iVgzYY2/4PQtmAOcXdkV6dQgkoLroqI6D0r7K2r/qgqhBDXICMvg6+Pfc38vfML2n47+xvBHsEs7b+UMHOY+4IrAT+DH6OajmLurrlO++9scqdMggshRHlLOQufDIakk5fb9n0K3adCt0fzy85WYX4GP/z0fiTmJBbpCzOF4auv+glgQghRneRZbWw5Gs+kL/ZyqXDIxqg43t54jJUPdqFpcMXdzCkPBq2Kcd3qs/lovNP+8d3rl8u2skIIIS67mJbDw1/s46/Tl6vCrj1wgYEtgnlpyHUEmKt2ApWPUUvrMC8OnEst0mfQqKgfULYtZYUQQhR14cIFli9fXlB16ujRo2zfvp27776bevXqoVRW7UXWTbv24q81Xzvta3njAIxmr0qOSAgharjMBNjwAuz//HJb1PcQ0gZGfQmeoW4LrUSM/tByBOz/zHl/4/4V9tZVe0QVQohrFJcVVyhx6pLYzFgWHlhItjW78oMqBYVCQf+I/rQNaFuk784md1Lfq74bohJCiBrMmgt/vFs4ceqSbW9B6rnKj6mUAo2BvNn7TbTKwhPdBrWBN3q9QYAxwE2RCSFEzRSXnsuUFfv5745LaTlWHlt5gKRM59saVSXNQz0Z0qboTbOekf50b+TvhoiEEKJm23w0rlDi1CU/H4rl0IWiCUlVja+HljeGt8bbWLjqrUqp4L3/tSXQs2onfwkhRHWTlpbGqlWrimzXZ7PZ+Prrr0lPT3dTZCVn9ven64i7i7T7htWl3cDBqDTFV1IXQghRSvFHCydOXRKzH/75Jn8rv6pMa4DeT+bvCPJfA+eCueJ2mJKyJUKIGmnLuS0u+34+9TMPt3kYg8n1tnhVQaAxkHm953E85Tjfn/geg9rA0MihhJnC8NZ7uzs8IYSoWbISnF9QXPL3NxDcsvLiuQZKhZJW/q1YM2QNm/7dxKHEQ7QJbEOvsF6EeFSDcrxCCFHNnIjPINfq/IbToQtpJGVa8PWo2pPI/iYdz9/anNFdIlix+yw2u5072oXTMNCDALPe3eGJGmzmzJm8//77xMXFsXr1aoYMGVJurz127FhSUlJYs2ZNub2mEOUhMSOX5X/867J/6R+n6VTfD0MV3/quUaCJHx7uzrboBLYdTyAy0MSg1qHU8TagVVXt2IUQorrJysoiNdV5cm1WVhaZmZl4eVXtyk16DxNt+99Kw/Yd+WfzBrLT0mnatQeBDRph9vVzd3hCCFGz2Cyw6yPX/buX5Fd1MgdVXkzXwrsujP0Rzu+Gw2vBMwRa/w+8wkBnrrC3leSpKsjVTZ7NmzfTp08fVq1axYgRIzhz5gx16tQp8vzIyEgGDRrEm2++WUkRC1H1FFdZymq3YndU8aza/xdgDCDAGECX0C7uDkVUA1u3buX1119nz549xMTElGgSYvPmzUybNo1Dhw4RHh7Oc889x9ixYyslXiGqFIcjf+9vV3Kr/ko+ALVKTbg5nLHXjXV3KKKae++993j99deJjY2ldevWvPvuu3Ts2NHdYQlRpeRYir+msFX1lXz/z8+kw8+ko129qr09ragazp49y4wZM1i3bh0JCQmEhIQwZMgQXnjhBfz8Sjb5FRUVxYsvvsjq1avp3LkzPj7yuydqB7sDciw2l/3ZeTasdjtQtROQFAoFYT5GRnasy8iOdd0djhBC1Gj2q1xT2Gyux5WqRG8yoTeZuGHsA+4ORQghajaHHSyZrvstWfnHVAdedfJ/mt9WaW8p2/aVQGpWHifiMth3JpkT8RmkZuW5NZ6ePXvi5+fH8uXLi/Rt3bqV48ePM378eDdEJkTV0b1Od5d9HYI6YNZWXFaqEOCesSMzM5PWrVvz3nvvlej4U6dOccstt9CnTx/279/PlClTuO+++1i/fn0FRypEFaT3gshi9sq+bmjlxSLEFdwxnqxYsYJp06YxY8YM9u7dS+vWrenfvz9xcXEV/t5CVCeNg8woFM77Qrz0eBu0zjuFKAfuGB9OnjxJhw4diI6O5ssvv+T48eMsWrSITZs20aVLF5KSim5F5syJEycAuO222wgODkanu7YKbRaL5ZqeJ4S7+Bg13NLKdUXY29vWwayXrYuEEEJcZjQaXf6tpFarMZlMlRyREJXPXfP07733HhEREej1ejp16sRff/1VKe8rRJmoddB6lOv+ZoPB6Ft58VQzkjx1FRdSspn85T5ufHMLQxf+wY3ztvDwl/u4kFJMZYIKptFouOeee1i2bFmRviVLltCpUydatGhR+YEJUYWEmcLoGdazSLtGqeHJjk/iqfN0Q1SitnDX2DFw4EBeeeUVhg4tWZLHokWLqF+/PvPmzaNZs2ZMnjyZO+64g7feeqtC4xSiStKZ4cYZoDEW7avXDfwjKz8mUeu5azx58803mTBhAvfeey/Nmzdn0aJFGI1GlixZUqHvK0R142/SMqF7gyLtCgXMGtqSIC/Z9k5UDHeND5MmTUKr1fLLL7/Qq1cv6taty8CBA9m4cSPnz5/n2Wef5ciRIxiNRr744ouC561cuRKDwcDhw4eZOXMmgwYNAkCpVKL4/wxEu93OSy+9RFhYGDqdjjZt2rBu3bqC1zh9+jQKhYIVK1bQq1cv9Ho9n3/+OTabjWnTpuHt7Y2fnx9PPPEEDoejQr8HIa6VWqXkzuvDCTAVnQSv52ekZ+MAN0QlhBCiKjObzQwYMMBp34033ijJU6LGc9e1jywsFNVaeCcIbF603eADnSfmJ1gJpyR5qhipWXk8+c1Bfo9OKNS+NTqBp7456NYKVOPHjyc6OpqtW7cWtGVkZLBq1SqpOiUE4GvwZWbXmTzX6TnqmuvipfPipno38fWgr2no1dDd4YkarCqPHf+1Y8cO+vbtW6itf//+7Nixw00RCeFmfo3gga3Q6s78CwmfCOg/G+5YAqYqvge4qHHcNZ7k5eWxZ8+eQuODUqmkb9++Mj4I8R9mvYYHezdk4V3taBpsxsugoXsjf1Y/1JXO9WUVn6gY7hofkpKSWL9+PRMnTsRgMBTqCw4O5q677mLFihU0adKEN954g4kTJ3LmzBnOnTvHgw8+yJw5c2jevDnTp09n6dKlAMTExBATEwPA22+/zbx583jjjTc4ePAg/fv3Z/DgwURHRxd6r6eeeopHH32UqKgo+vfvz7x581i2bBlLlixh27ZtJCUlsXr16gr5DoQoD2E+Rr6d2JV7u0Xgb9ISaNbx8A2N+HJCZ0K9DVd/ASGEELWKSqWiWbNmjBkzhvDwcAwGA6Ghodx99920adMGjUYqFoqay51zLbKwUFRrnqFw9yro8yx41gGjH3QYDxN+y5/zEC6p3R1AVZaQkVfkhHzJ1ugEEjLy8DJWTBn+H374oUjG+JV7Fzdv3pzOnTuzZMkSevbMr66zcuVKHA4HI0eOrJCYhKhuAgwB3Nn0Tm6sdyM2uw2z1ozRWUWRKiAuK44TKSfYF7ePMFMY7YPaE2QMQq2S03R1486xo7RiY2MJCiqcEBIUFERaWhrZ2dlFJkWEqPFU6vwKU7e+BTmpoFCBKRCXezK5UbYlm/jseHbG7CQxO5FOIZ2oa66Lv9Hf3aGJcuKu8SQhIQGbzeZ0fDhy5Ei5v58Q1Z2vh5abW4bQqb4vFpsDo1aFp6FqTmDEp+dyJimTbdEJ+Jp09GjkT4BZh4dOrjmqE3eND9HR0TgcDpo1a+a0v1mzZiQnJxMfH8/EiRP56aefuPvuu9FqtVx//fU8/PDDAJhMJry9vYH8pKtL3njjDZ588smCe1pz5szht99+Y/78+YW2JZ8yZQq33357weP58+fz9NNPF7QtWrRItiEXVV64r5GnBzblgZ4NUSjAz0OLWlX11jhbbXZiUnPYdTqJM4lZtK3nTZMgM8Fecq9ACCEqk16vp379+owaNQqr1YparcZorJrzHHl5yeTmxpCYuAWFUoO/X2+02kA0GtkJRJSeu659Li0sfPrppwvaZGGhqHY860D3x6DdaHDY87fqU1fRCukpZyFmP8T+DUHXQWhb8Apzy7yM3CErRlqOpdj+9Kv0l0WfPn14//33C7X9+eef3H333QWPx40bx9SpU3n33Xcxm80sWbKE4cOHYzabKywuIaojf0PVnkg+n36e+zfcz5n0MwVtWqWW9/u+T7ugdqiVcqquTtw5dgghyonWI/+nisq2ZLP53Gae+v0p7A47AAsPLKSVfyve7PMmQUapklUTyHgiRPXi52QLpqokNjWHh7/Yy65/kwvaFAp4c3hr+rcIxigJVNWGu8eHkm6Jt2TJEho3boxSqeTQoUMF2/M5k5aWxoULF+jWrVuh9m7dunHgwIFCbR06dCj479TUVGJiYujUqVNBm1qtpkOHDrJ1n6jytGoVwV4qd4fhktVmZ9+ZFO5Z8ic5FntBe7ivgc/v60xd36o5aS+EEDVZVU2YuiQ3L4Hj0bOJvbimoO348dlEREwiPOxetFof9wUnqiV3XfvIwkJRY6hUYA6++nHuFBcFy26BrMTLbQYfGPsjBLWo9HCq3pKWKsRTX/xqUfNV+svCw8ODRo0aFfqpU6dOoWMurcZbuXIl0dHRbN++XbbsE6KaycjLYM6uOYUSpwDy7HlM/nUycVmyf3J1486xo7SCg4O5ePFiobaLFy/i6ekpVaeEqMLisuMKJU5dcjDhIJ8f/hyLTZJqagJ3jSf+/v6oVCqn48OVFUKEENWH1Wbn8z//LZQ4BeBwwLSvDxCbluOmyMS1cNf40KhRIxQKBVFRUU77o6Ki8PHxISAgAIADBw6QmZlJZmZmwdZ85cHDo+omuAtRk1xMy2Hcsl2FEqcAziZl8/yaf0jLlmsOIYQQhaUk/1koceqS06ffIyv7VOUHJKq96jTXIoS4BhkXYeU9hROnALKT4au7ID220kOS5Kli+Ju09Ix0XrGmZ6Q//ib3brtkNpsZPnw4S5YsYenSpTRu3JgePXq4NSYhROkk5yaz5dwWp33Z1mxOpJyo5IhEWVX1seNKXbp0YdOmTYXaNmzYQJcuXdwUkRCiJLae21okceqSFUdXkJiT6LRPVC/uGk+0Wi3t27cvND7Y7XY2bdok44MQ1VRCRi7L/zjttM/hgPWHLjrtE1WTu8YHPz8/+vXrx8KFC8nOzi7UFxsby+eff86dd96JQqEgKSmJsWPH8uyzzzJ27FjuuuuuIs+5kqenJ6GhoWzfvr1Q+/bt22nevLnL53l5eRESEsKff/5Z0Ga1WtmzZ881fkohxCUnEzJJz7U67dsaHU9SZl4lRySEEKIqy8tL5t8zi132nz27DLtdxg5ROu669pGFhUJUksxESIh23pd8CjKdb9tZkSR5qhheRi2vDWtV5MTcM9KfOcNaVcg+qqU1fvx4/vjjDxYtWsS4cePcHY4QopTybHkuJ8ABknKSKjEaUR7cOXZkZGSwf/9+9u/fD8CpU6fYv38/Z87kVzZ7+umnGT16dMHxDz74ICdPnuSJJ57gyJEjLFy4kJUrVzJ16tQKi1EIUXbFVSXMsmYVO66I6sOd48m0adNYvHgxy5cvJyoqioceeojMzEzuvffeCntPIUTFsTsgLcf5BDjkVxcR1Yc7x4cFCxaQm5tL//792bp1K2fPnmXdunX069ePOnXqMGvWLCD/OiM8PJznnnuON998E5vNxvTp04t97ccff5w5c+awYsUKjh49ylNPPcX+/ft59NFHi33eo48+ymuvvcaaNWs4cuQIEydOJCUlpbw+shC1VnKW68pSDgfkWuWaQwghxGUOhxWLJdllf15eAna7VC0UpeOuax9ZWChEJbG6XmQFgOUq/RVAXenvWM2Eeht4d1RbEjLySM+xYNZr8Ddpq0TiFED37t1p0qQJx48fLzQhLoSoHkwaEwGGAOKz4532N/NtVskRifLgrrFj9+7d9OnTp+DxtGnTABgzZgzLli0jJiamIJEKoH79+vz4449MnTqVt99+m7CwMD766CP69+9foXEKIcqmW2g3lh1a5rSvuV9zDGrZdrOmcNd4cueddxIfH88LL7xAbGwsbdq0Yd26dQQFBVXo+wohKoZBo6JdPW/2/pvitL93k4DKDUiUmbvGh8jISHbv3s2MGTMYMWIESUlJBAcHM2TIEGbMmIGvry+ffPIJP/30E/v27UOtVqNWq/nss8/o3r07t956KwMHDnT62o888gipqak89thjxMXF0bx5c9auXUtkZGSxMT322GPExMQwZswYlEol48aNY+jQoaSmplbEVyBErdE0yOyyz89Di6dephWEEEJcplab8fXpzoWYr5z2B/jfiEplrOSoRE3grmufadOmMWbMGDp06EDHjh2ZP3++LCwUorwZ/UGlBZuTyoRKNXg4rzxXkeQqpwS8jJWbLLVs2TKn7b1798bhcBRpP3LkSAVHJIQojcy8TOKy4/jtzG8k5ybTM6wnEZ4RBBiLTkoEGgOZ3mE6T/7+ZJG+HnV6OH2OqB4qe+wA1+PEJc7Gl969e7Nv374KjEoIURLxWfGcTD3JtvPb8NP70Tu8N4HGQIyaojeWGno3JNI7kuiUwiVtFSh48von8dH7VFbYohK4YzwBmDx5MpMnT6709xVClEye1UZMag5bjsVzJimLLg38aB7qSYhX0QRaHw8tz93cnDsW/YH9P38qNgo00SzEs5KiFuXJXeNDvXr1XN63Ahg9enSRxX0dO3YkL+/yzdAhQ4YUuW5RKpXMmDGDGTNmOH3diIgIp9c6arWa+fPnM3/+/JJ/CCFqqYSMXM4mZfHLoYvoNUoGXBdMsJcBL4OmyLEBZh03NQ/il8NFt3Z9amBTgjz1lRGyEEIIN7I7HJzPyePP1Ez+Ts+mtaeB6z1NhOk1KBSKQseqVHrq1ruP2IvfYbcXrhSi0fgRENC/yHOEKCl3XPvIwkIhrlFWMqSdh6i1YLNAs0HgXdd5IpRHIHR9BH5/o2hfp4fAFFjx8f6HJE8JIUQ5yrBk8PPpn3lpx0sFbcsOLaOlf0ve6v0WQR6F/7BSKBR0r9Od+b3nM2/PPM6mn8VD48H/mv6PUU1H4aP3ISU3haTsJDItmZi1ZvwMfpi1rlcACiGEqF5iM2N5+NeHOZJ0OSH+zT1v8kq3V+hbr2+RBKoAYwAL+y5k8cHFrDm+hjx7Ho19GvN0x6dp6tcUm93BxbQcEjNycQB+Jh1BZh1qlezYLYQQNUGezcbOk0mMX74Liy0/meSj308R5mPgiwmdqetbNPG2WYiZFQ90YebaQxy6kIZOreT2tnV4+MbI/AnwnDTIjIfsZNCa8m9quWGFnxBCiIoRl57D09/8zaYjl7cAf2tjNJP6NOK+HvXx+c+EpI+HlleGXEfTYDNLt58mPddKuK+Bpwc2o2tDP5RKBRdTc0jIzMVqc+DroSXQrEOnUVX2RxNCCFFBDmVkc/u+46TbLm/V6q1W8W3bRjQ3FV20YdCHc32HVRw99jIpKTsBJf7+fYls9AQGQxh5uTlkp6SQlZ6KWqvD6OmFh7csABRVlywsFKKUshJh6xuwc+Hltm1vQvMhcPPrRZOhtAbo/BB4hsCWuZBxETwCoMd0aDkMtB6QEQeZCWDJAqNffsKVzqPCPoIkTwkhqjWHw0FMag7/JmYRl55DZKCZIE8dfiadW+KJy4wrlDh1yd8Jf/PV0a+Y1HoSalXhU6+nzpMb691Iq4BW5Nhy0Cg1+Ov9UavUxGTE8Oz2Z9kVu6vg+BvCb+CZzs8QZJQMdyGEuBa5WVlkpiYTf/oUaq0G//B6GL190Ggrf+zIteWy7NCyQolTAA4cPLf9OVoFtCLCK6LI84I9gnni+ie4r+V92Bw2jGojvgZfsi02thyL57GV+0nOsgDgaVAze2hLejcJxEMnf/4LIcS1uJiWw7nkbM4lZ1HX10gdbwOBbqq6EZeWy/2f7i5InLrkXHI2M9ce4u2RbTDrC1cRMWjVXB/hyyfjOpKZa0OlzE+u1WtUkB4L65+DQ6vgUmWfOu3hjqXgU6+yPpYQQtQo2XlW4jPyOBKThtXuoHmIJ/4mLSZ90SpPleG3I3GFEqcuee+34/RtFohP3aLVHAI99Tx8YyQjO9bFarejV6sI9NRjszs4cDaFhz7bw4XUHAB0aiXTb2rCHe3D8PGo/Kp4QghRE2RkZJCenk5CQgJmsxkfHx+8vLzcEktsbh73/n2qUOIUQIrVxn3/nGZN20YE6gqPaUqlGpOpKa1aLsRqTQMUaDTeqNUmslJT2P3DGvb8uAa7zQqAT0gdBj/2DP7hcs0hhBDXIs9qIy49l+NxGaTnWGn2/9cc3m6oUg1A/NHCiVOXHF6TX4Gq5R1F+zz8of04aHIzWHNBrQNTMCiVkBANK++BuKj8Y5Uq6DAeej5eYVWpZPZECFFt2e0ODsekMXrJXyRlXt4CoHMDX+bf2YZgJ1tWXBKXFcep1FMcSTpCXXNdmvg2IdgjGKWibFU5fvn3F5d9K46sYGSTkUWqT13y3y36knOSeWLrE+yP31+o/dezv6JRapjZdSYmralM8QohRG2TlZbKrrXfsPuH1QUTxCq1mpsefJRG13dGq3cxduRl5q98OP0H5KZBRHfwDC1zVY7knGS+jf7WaZ8DB7+f/91p8hSATq0jxBRSqO1MYib3Ld9VaFumtGwrk77Yx/eTu9EyzLtM8QohRG10KiGTMUv+4kxSVkFbwwAPlt7b0WmVp0vi03M4m5zNntPJBHnqaFPXh2BPHVp12apyRMWkkWOxO+377WgcSZl5RZKnLvEz6fC78hIiLwt+exX++brwgef3wJcjYfQaMMmiDSGEKI20HAs/Hojh+e/+wfr/f5grFfDojZGM7hLhMrkoz2rjYlou+8+mEJuaQ9t63tTzNRJgLluybkJGLh/9fspl/yd//EvLOl5OK9VqVEpCvQtfI11IyWbU4p1k5dkK2nKtdmb9FEVdPyP9WwSXKV4hhKiNUlNTWblyJefPny9oM5lM3HPPPcVuE5ZksXIhJ48dKZl4qJR08TYRoFVjKuM1R0KelXO5Fqd9J7NzSbBYiyRPXaLReKHRXE76ctjtHNnxO7vWrip0XHLMeVa++DR3v/Y2nv4B/30ZIYQQxci15Fclf/CzPWRbLv9dfnvbOjxzczP8zS4WijsckHoOLv4Dicch6DoIaJI/11EWlhzY4SRx6pI/3oWGN4DRt2ifUln0/dPOwyeDIe3C5Ta7Df76ML86VfepoCr/hSmSPCWEqLZi0nK4++M/Sckq/Ef8zpNJvLXhGDNva4FBU/Q0dzb9LPf/cj/nMs4VtJk1Zj7q/xHNfJuVae/tpJwkl33plnQcOFz2/1diTmKRxKlLfvn3Fx5p94gkTwkhRCmdP3KY3d8XTlayWa38vGAeo19fQEDdiKJPys3I36P7u0nguGKyusktcOtbYL72SWWbw0a2Ndtlf2J2YolfK89qZ8n204USp660cPMJ5g1vjVGqTwkhRIklpOfywKe7CyVOAZyIz+SRL/exZOz1+DqZBI9JzWbi53vZdyaloE2rUrJ4dAe6NPQtUwJVSrbzSQzIvwdmsTlPrHIqMw72f+68L+4wpMdI8pQQQpTSv4lZPL3670Jtdkf+Nnnt6vnQI7LoBLHFamfX6WTGLdtFrvXyefy6UE8+HN2hSAJTadjsDlKLGTsSM3Ox2u0l3ub71yNxhRKnrvTG+qO0r+eDv5sqwgshRHWUm5vL+vXrCyVOQX4lqk8//ZQJEyY4rUAVl2vh2ejzfB+fUtCmAOY2DmNIkDdm9bXf/8l1dXOpoL/k1xwZyUn8+e0Kp33Z6WnEnTohyVNCCFFKMak5jF++q2CxxiXf7jtPq3AvxnSJcD7fffEQLL8VspMvt3mFw+jvwK/htQdkt0K26zlyclLB5vqapIiE6MKJU1f6411oPQq8w0sXYwmUrcSKEEK40fG49CKJU5es3neBhPS8Iu2puam8sP2FQolTkJ/YNHHjROKyipYwL41eYb1c9nUI6oBBXfKbXUnFDDIOHKTnpZcqNiGEqO2y09PY+e1XLvsPbvwZu93JJEDaeVjzUOHEKYCjP8KhyxWsroVRbaSFXwuX/d3qdCvxa2XlWTkSk+ay/9jFDLIszic5hBBCOJeYmcuxixlO+/afTSlUAfeSXKuNhZtPFEqcAsiz2ZnwyW5i03LLFFPLUNdbd4R46TG7WAHuVG5G/g0uV1Jd3KgSQgjhVJ7Vzse/n3TZ/95vx0lzksgUm5ZTJHEK4J8LaczfeIzsvGLO1VfhqVfTs7HrSembW4agd7L40JX9Z1Nc9p1MyMRiLUUSrxBCCDIzM4mKinLal5GRQUpKitO+XxJTCyVOATiAx4+d42xOKSaonfDXqtG4WGSuVyrwK8W4YbNYyEpNcdkf96/r6ohCCCGc2xB1sUji1CXvbz5BXLqTe09pF+CLEYUTpwBSz8K3EyCz5Au5i9B65G/N50pkXzB4l/z14o+67stNA2tOyV+rFCR5SghRbcWkuD4x5tns5FqLThAn5ySz++Jup89JzEkkNiu2TDFF+kTS2LtxkXaVQsX0DtPx0pV8j3Jfg5PShf9PgQKz1nxNMQohRG1ls1jISHJ9AZByMRa71cmkxAHXCVfseDd/O79r5KP34amOTzndNra5X3MiPCNK/FpGrZqmwa7HhsZBJoyaspVtF0KI2iYjt/jJ6kwn/Qnpuazcddbp8Xk2O7tPF7MSrwQCPfX0a+68GtSMQc0J8irF9k5aEyiLmfgoa9l2IYSoZXKtNs4lu64sG5Oa4/R+1cFzKUUSpy5Zs+8CiRlFk3VLyqBVM7F3QwxOrgVCvPT0KCaxypnW4d4u++r7e6BRy5SDEEKUhsViwVHMwryMjKKLOeJyLbx3xvVC8C9iyjABDgRo1EwMdz4+TKkXTKC25As2VBoNRi9v1+9VL6KU0QkhhDgVn+my72JaLjZniVUZF/MXijtzfg9klWHsUCig6S3Oq5frzNDpIVCXojqtfxPXfTpPUJdta3NX5EpGCFFtNSlmgtjHqMGoLToJkGsrfpV3am5qmWIKNAbyXt/3uKvZXQVVptoGtOWzmz+joXfpyh366n1p7d/aaV/fen3x1btOrhJCCFGURm8guGHRBNdL6rZohUpTdOslUpxPgAOQGQ+OslVzauLThE8GfEIr/1ZAfjWqsS3G8k6fdwgwlnwiQ6tWMq57fZQudp99qHdD2bJPCCFKyceoxdWu3iqlAm9j0UkDq93hcgIcIDa1bKvjfD20zBpyHY/f1KTg/RsHmfhkXEe6NvIv3YuZAvNLnTsT2AzMIWWKVQghahujRkWnBq7v17St641JX/Rv8ovFVCXMs9mxlGJ7JGfq+hpZM6kbfZoEoFCARqXgjvZhrHigC3VKuSXgDU0DnSZiAUy/qYls2SeEEKWk0+nQap3cj/p/fn5+RdpsOEgopirh+RyL84nzEjKqVdwfHsibTcIJ/f/KtmE6De80q8s9oX7oS7jVK4DJx5dOQ0c47TOYPQmqX4ZtooQQopbq2qjo2HBJi1BPdBon5+kc17tWAGDJKltQ3nVh3HpoeWf+Qj2FEhoPhPs2gU9E6V7LP9L1Pakuk8AcXLZYXZDZEyFEtRXmY6BFqCeHLhQ92U/t25ggz6JZp2atGaPaSJbV+QAQbi77/qjBHsFMaz+NsS3GYnfY8VB74KUvecWpS3z1vsztNZdntj3Dnot7Ctp7h/XmyY5PYtKayhyrEELUJjqjka4j7uLUvt04/rMFn9ZgpHGnbs73AW8yEP752vmLhncCjUeZ4jJoDLQObM17N75HljULpUKJn94PjaoU2y79v7q+RhaP7sBjXx8o2NrWU6/m1aEtaRgg44YQQpSWv0nHra1C+P5ATJG+OzuEO50gNmhVRPgZOZ3o/JqjQ0TZF0EEeup5sFcDhrWvg9XuQK9RXdtktdYINzwHlmw49M3lrWhD28HwZWB2XuFKCCGEcyqVkhEdwlmy7TTZ/9kyW61U8FCvRhicbHXUtq63y9cM8zE4XSBYGmqVkibBZt4Z1Za0bCsKBfh4aJzGcjWhXnq+vL8zD322h5j/TwjWqZVM69e42MQxIYQQzpnNZrp3786vv/5apK9u3bqYzUUXkZtUKjp5e7AxMd3pa/b390TlanVdCflp1YwK8eUGP08sDgdahYKg0mwR/v8USiVNu/YkPTGBvT99h92WPz56B4dy22PP4ukfWKY4hRCiNmpX14cAs454J9vzPXNzM/w8nNwj8grLrxDlrNqhxgAGn7IH5lsfBr0FfZ/P30tW7w36a9hJyasOjFkLK+6+vIWfUgXt7oUO4+Aa5k5KQpKnhKhibHYbdocdi82Cg2tfGVAbBJj1LB7dgZd/OMz6Q7HYHeBpUDOlb2NubR3i9OIgwBDAg60f5M09bxbpGxAxoNyqOWlVWoI9yp71GmoKZX7v+STlJpGRl4Gn1hNfvS+eOs9yiFIIURM4HA4SshOwOWwY1UY5P1yFb2gYw559iQ0fvktqXP52e0ENGtH/oSl4Bri4WVO3U/6FReq5wu0KJfR7qXR7dRfDW++NN2V7LYNWTa/GAfz8SA8SMvJw4MDPpCPIrENdilWBQoiaLTPXSlq2BYUC/Ew6NHJ+cMnToOH5W5rjY9SyYtdZcq129Bolo7tEMKFHAzycVPQLNOt5/tbmjF9edLvw5iFmIvyM5RKbSqUk2Kt01UKcMgfDrW9Bn2cgOzl/Kz8P//wfIYT4f/HpuVhtdnRqJb5SWahYdbwNfP1gF55YdZDDMfkL/hr4e/DasJYux4AwHyNtwr3ZfzalSN8zNzdzukDwWpj1Gsz6sk00qFVK2oR7s2ZSNxIzcsmz2fEz6Qg06dDJNuFCiP9ntdjJ+f8tR/UeGtRaOT+4olKpaN++PQqFgm3btpGbm4tSqaRFixb069cPD4+ii/bMahVP1Q/ht6R0bP+ZRgrSqunucw0T1U4oFAqCryFh6r+MXt50veN/tO53M9npqag1WoxeXnh4S9KtEOIKmYlgzQGV2vn2b6JAqLeBlQ905qlv/ubPU0kABHnqmDGoBa3CXBT08PDPrz6+/4uifd2ngqmcqjlpPfJ/ysq/MYz5ATIT8qtiGf3AIwB0FbdIXJKnhKgi7A47udZcLmZdJMuahcKiINOSSVJ2EqH6UHeHV2WFeht4Y3grnhrYlFyLHZNeTZBZh8rFBJBGpWFIoyGYNCbe2/8eiTmJeGg8+F/T/zGq6Si8dKWvEFXRvPXeeOu93R2GEKIKSshK4OfTP7P80HKScpJoE9iGqe2n0sirEQZNOUym1kAanY56Ldsw8qXXycnMQKlUojd5YvQsJunMKwzG/gi/vABHvgeHHYJawM1vQEDTygu+hNQqJSHeBkJKuf2GEKLms9rsnE7M4s0NR9kUFYdBq+J/Hetyd+d6hMo5w6VATz3P3NyMCT0akJ1nw6hTEWjWo1W7Tjq7vr4vH43pwEvfH+ZMUhZalZKhbUN5tG9jAstpArxc6T3zf4QQ4j+SMvPYFh3P/I3RnE3OonGQmSf6N6FtXW88Da63GKrN1Col19Xx4tPxHUnJsmB3OPA2aggwuz7/B5h1LLq7Pe9siuabvefItdoJ8zHw7C3N6NawaiazBnnqyy2pSwhRs6QlZLN3/b8c23URHNCoQyDtB0TgFSDXHK54eHjQtWtXWrZsSV5eHhqNBg8Pj2K382tk1PFd20iePHaOQxnZKIGb/DyZ0agOYfqqN0Zr9Hq89cF4B1XMVktCiGosOxUu7INNM+HiP+AVDr2egkY3ysKuYtT3N/HBPe1JzrJgsdnx1GsI8tQ5310DQO8FfWfmf78734fctPzvt+eTcN3toKmCi2RMgfk/lUSSp4SoInKsOZxKPVXw2OawkZabxrf7vuXxLo/ja5AMfFc8dBo8SrH6wUfvw7DGw+gZ1pMcWw5apRZ/g/81bY8kRFUxe/Zsvv32W44cOYLBYKBr167MmTOHJk2aFPu8r7/+mueff57Tp08TGRnJnDlzuPnmmyspalEWyTnJvPLnK2w6s6mgbVfsLu7+6W4+vuljOgR3cGN0VZ/JxxeTTynGVp8IGLIQsl4GuzV/gtkjoMLiE8Jdtm7dyuuvv86ePXuIiYlh9erVDBkyxN1hiXLyb1IWgxdsIysvf5uEXKudhZtPsCHqIp+O61g+VYxqKL1GRbhvyStGeeo19G0WRKs6XmTm2dCoFPh5aDGUcdslIYSoTFm5Vj7edor3fjte0HboQhpjlu5i7h2tuL1tHaluWgw/kw6/UlTpCvbS88Kg5kzs0xCLzYFRq5LkJCFEtZOemM03r+8hKzWvoC1qewynDyZwx5Md8PSXaw5XVCoV3t7eJT5er1LRwcuDFa0bkG61o1KAr0aNSS1VvoQQ1YjdBtHr4dsJl9uSTsLq+6HrI9DziWvb9q2W8DZq8TaWImHWFAQ9H4d294A1F9QGMIeAUq7rAORbKInsZEg4Bud2Q0J0/uMKFhsby8MPP0yDBg3Q6XSEh4czaNAgNm26PEH6xx9/cPPNN+Pj44Ner6dly5a8+eab2P5/v+BvvvkGlUrF+fPnnb5HZGQk06ZNA6B3795MmTKloK93794oFAoUCgU6nY46deowaNAgvv3221J9jkuvsXPnzkLtubm5+Pn5oVAo2Lx5c6Hj16xZ4/LxlTZv3lzw+kqlEi8vL9q2bcsTTzxBTExMqeJ0N6vdSkym85j3XNzjsk9cO6VCSZBHEPU86xFiCpHEKVH+Knns2LJlC5MmTWLnzp1s2LABi8XCTTfdRGZmpsvn/PHHH4waNYrx48ezb98+hgwZwpAhQ/jnn38qNFZRPi5mXSyUOHWJ3WHnlT9fITE70Q1R1XA6E/jUA7+GkjglKk8ljyeZmZm0bt2a9957r0LfR1S+rFwr72yKLkiculL0xQwOnEt1Q1Q1X6Cnnvr+HoT5GCVxSpQvN9yrio+P56GHHqJu3brodDqCg4Pp378/27dvB4q/h+NKXl4er7/+Ou3atcPDwwMvLy9at27Nc889x4ULFyrgU4jSiM/IZdGWE077XvnxMHHpuZUcUc2n16gI8zFS399DEqeEENWOw+4gendcocSpS7LTLRz9Mxa7ze6GyGo2f62G+kYddQ06SZwSNZMbrn22bt3KoEGDCA0NvabrHFEK6TGw7knnfTsWQFZ85cZTG6g0+dWn/BqBVx1JnLqC3Lm7mtTz8N1kOPnr5baGN8Lgd/N/mSrA6dOn6datG97e3rz++uu0bNkSi8XC+vXrmTRpEkeOHGH16tWMGDGCe++9l99++w1vb282btzIE088wY4dO1i5ciWDBw/Gz8+P5cuX88wzzxR6j61bt3L8+HHGjx/vMo4JEybw0ksvYbVaOXfuHKtXr2bkyJGMHTuWDz/8sMSfJzw8nKVLl9K5c+eCttWrV2MymUhKSir9F/QfR48exdPTk7S0NPbu3cvcuXP5+OOP2bx5My1btizz61cGu8NOjjXHZf+fMX/Swr9FJUYkhCgTN4wd69atK/R42bJlBAYGsmfPHnr27On0OW+//TYDBgzg8ccfB+Dll19mw4YNLFiwgEWLFlVInKL87Lm4x2XfiZQTZFgy8DP4VWJEQohy54bxZODAgQwcOLBCXlu4V1qOhd+OxrnsX73vPP2aBaFUuijtLYSoOtwwPgAMGzaMvLw8li9fToMGDbh48SKbNm0iMfHakvZzc3O56aabOHjwIC+++CLdunUjICCAU6dO8eWXX/Luu+8ye/bscv4Ul+Xl5RW7FY6ACynZ2OwOp31p2VaSM/Nk21chhBAFcrOtnNjr+prjxN54rutZB4NZxl8hRAm56drn0uLCcePGcfvtt1fY+wggOwWyXOQLOOyQeAJ8G1RqSKL2kjSy4mQnFz0hA5zYBGsfrrDM1okTJ6JQKPjrr78YNmwYjRs3pkWLFkybNo2dO3eSmZnJhAkTGDx4MB9++CFt2rQhIiKC++67j+XLl7Nq1SpWrlyJRqPhnnvuYdmyZUXeY8mSJXTq1IkWLVwn5BiNRoKDgwkLC6Nz587MmTOHDz74gMWLF7Nx48YSf54xY8bw1VdfkZ2dXej9x4wZU6rvxZXAwECCg4Np3LgxI0eOZPv27QQEBPDQQw+Vy+tXFgWuJynMWilHKES14aax479SU/OrR/j6ut6WbMeOHfTt27dQW//+/dmxY0eFxibKh0ljctmnVChRKWSlmRDVWhUZT0TNoVAo8Cim8pG3QYNC8qaEqPrcND6kpKTw+++/M2fOHPr06UO9evXo2LEjTz/9NIMHDyYiIgKAoUOHolAoCh4X56233mLbtm38+uuvPPLII7Rv3566devSq1cvFi1axKuvvlpwrN1uZ/bs2dSvXx+DwUDr1q1ZtWpVodfbsmULHTt2RKfTERISwlNPPYXVai3o7927N5MnT2bKlCn4+/vTv39/ANauXUtkZCR6vZ4+ffqwfPlyFAoFKSkpBc/dtm0bPXr0wGAwEB4eziOPPFKoyu/ChQsLXiMoKIg77rjjGr7lqkenKf6aQrbsE0IIcSWlSoFG53rs0OhVKFRy0SGEKCE33hsbOHAgr7zyCkOHDq2w9xD/T3WVWj9aj8qJQwgkeap4mfFFT8iXnNiU31/OkpKSWLduHZMmTcLDo+jJwNvbm19++YXExESmT59epH/QoEE0btyYL7/8EoDx48cTHR3N1q1bC47JyMhg1apVxVadcmXMmDH4+PiUavu+9u3bExERwTfffAPAmTNn2Lp1K/fcc0+p378kDAYDDz74INu3bycuzvUqh6pEpVDhqfN02d8xpGMlRiOEKBM3jB3/ZbfbmTJlCt26deO6665zeVxsbCxBQUGF2oKCgoiNja3oEEU5aBfUzmWCVJ/wPvjofCo5IiFEuaoC44moWfxNOkZ3rueyf1THuigke0qIqs9N44PJZMJkMrFmzRpyc4tu1bZr1y4Ali5dSkxMTMHj4nz55Zf069ePtm3bOu2/8pw0e/ZsPvnkExYtWsShQ4eYOnUqd999N1u2bAHg/Pnz3HzzzVx//fUcOHCA999/n48//phXXnml0GsuX74crVbL9u3bWbRoEadOneKOO+5gyJAhHDhwgAceeIBnn3220HNOnDjBgAEDGDZsGAcPHmTFihVs27aNyZMnA7B7924eeeQRXnrpJY4ePcq6detcVv+tboI99XgbNU77GgaY8POQyiFCCCEu0+rVtL4x3GV/6xvD0bsYV4QQogi5N1Y7GP0gyMU8lt4rf3s5ISqJJE8VJyetbP3X4Pjx4zgcDpo2berymGPHjgHQrFkzp/1NmzYtOKZ58+Z07tyZJUuWFPSvXLkSh8PByJEjSx2fUqmkcePGnD59ulTPGzduXEEMy5Yt4+abbyYgIKDU719Sl76/0sbpLiqlikBjIBpl0QuHh9s+TICh4r4rIUQ5c8PY8V+TJk3in3/+4auvvqrw9xLu46/355VurxSpXBjsEcxjHR7DQ1ZkCFG9VYHxRNQsKqWCoe3CaBPuXaTvgZ4NqOtnrPyghBCl56bxQa1Ws2zZMpYvX463tzfdunXjmWee4eDBgwAF93i8vb0JDg4u0T2fY8eO0aRJk0JtQ4cOLUjU6tq1K5C/vd+rr77KkiVL6N+/Pw0aNGDs2LHcfffdfPDBB0B+5afw8HAWLFhA06ZNGTJkCC+++CLz5s3DbrcXvH5kZCRz586lSZMmNGnShA8++IAmTZrw+uuv06RJE0aOHMnYsWMLxTR79mzuuusupkyZQmRkJF27duWdd97hk08+IScnhzNnzuDh4cGtt95KvXr1aNu2LY888sg1f9dVSZCnnkV3t0f7nwpTZp2ad0e1xd+sc1NkQgghqqqg+l40bF/074D6rf0JbejlhoiEENWW3BurHTwC4PbFYPjPYnCVBkZ8AuYQ98QlaqWr1EGr5fSuKwGVqP8aOByOcj923LhxTJ06lXfffRez2cySJUsYPnw4ZvO1bQXncDhKvSL57rvv5qmnnuLkyZMsW7aMd95555reu6QufTdVcuW0zQo4QKkCxeWbT1qVlvpe9cmyZpGelw5KcBgdhIWGYdTIRIYQ1YYbxo4rTZ48mR9++IGtW7cSFhZW7LHBwcFcvHixUNvFixcJDg6uyBBFKVmtdvKyrCiUYDBdXtlt0Bi4oe4NrLltDT+d+onzGefpGdaTtoFtCfaQf0Mhqj03jyeiekvNtpBntWPSqzBoLl/2B3vp+eCe9hyNTee7/efx1GsY1j6MMG8D3kapHiJEteDG8WHYsGHccsst/P777+zcuZOff/6ZuXPn8tFHHxVJOLpWCxcuJDMzk3feeaegivrx48fJysqiX79+hY7Ny8srqFoVFRVFly5dCt0H6tatGxkZGZw7d466desC+dXRr3T06FGuv/76Qm0dOxau/n3gwAEOHjzI559/XtDmcDiw2+2cOnWKfv36Ua9ePRo0aMCAAQMYMGAAQ4cOxWisPvdybDY7SVl5KBUKfD20Bd+jSqmgXT1vfpnak/WHYomKSeP6CF96Ng6gjrfBzVELIYRwJ3uOFYfFjkKrRKm7fM1h9NTSc2QTWt9Ql6M7YnAATTsH4xVoxOgp1xxCiFKQe2M1i8MBWYngsIPBD1RX7KoR2Awe2AonfoPTv0NQC2h2G3iFXX1bPyHKkfy2FccjABremF/6778a3pjfX84iIyNRKBQcOXLE5TGNGzcG8m8MXVqFd6WoqCiaN29e8HjkyJFMnTqVlStX0rNnT7Zv387s2bOvKT6bzUZ0dHSRG0tX4+fnx6233sr48ePJyclh4MCBpKenX1MMJREVFQVAREREhb1HqdkskJsOmXFgt+WXGvQIAJUW/v+mlEalwUvlhZfOi5ycHNKV6Ri11edmmxACt4wdkH/z/uGHH2b16tVs3ryZ+vXrX/U5Xbp0YdOmTUyZMqWgbcOGDXTp0qVCYhSlY7c7SE/I5sCvZ/n3nyR0RjVt+9WlThOfgptNRo2RBt4NmNx2spujFUKUOzeNJ6J6S87M48C5FBb8epyL6Tm0q+vDpN6NiPA3olXn35QK8tQT5KmnZ2P5HRKiWnLz+KDX6+nXrx/9+vXj+eef57777mPGjBnXlDwVGRnJ0aNHC7WFhOSvKvb19S1oy8jIAODHH3+kTp06hY7X6UpX+cjDo/TVWTMyMnjggQecVpOqW7cuWq2WvXv3snnzZn755RdeeOEFZs6cya5du/D29i71+1W2c8lZfL37HGsPXECjUnB353rc1DyYYC89AFqVigh/Dx7o1dDNkQohhKgK7DlWLHFZpG36F2tcNupAI5431kUTaESpz59yNJq1GM1aQqTSlBCiLOTeWM2RdgGivoc9S/Pny1sOhzb/A+/8RS4oFPn/3X5M/o8QbuLWbfvS09OZMmUK9erVw2Aw0LVrV3bt2uXOkAoz+MDgd/NPwFdqeGN++3/Lx5UDX19f+vfvz3vvvUdmZmaR/pSUFG666SZ8fX2ZN29ekf61a9cSHR3NqFGjCtrMZjPDhw9nyZIlLF26lMaNG9OjR49rim/58uUkJyczbNiwUj933LhxbN68mdGjR6O6Mpu0nGVnZ/Phhx/Ss2fPCt0asFRsFkg9Cyn/giUbbHn5e/HGHwFrrrujE0KUJzeMHZC/Vd9nn33GF198gdlsJjY2ltjYWLKzswuOGT16NE8//XTB40cffZR169Yxb948jhw5wsyZM9m9ezeTJ0siTlWQcjGLFbN28ffm86QlZBN/Jp1fPj7E1q+Okp2e5+7whBAVzU3jSUZGBvv372f//v0AnDp1iv3793PmzJkKeT9RftJzLHz0+ynGLt3F7n+TOZuUzXf7L3DzO79z8Fyqu8MTQpQXN40PrjRv3rzg/pVGo8Fms5X4uaNGjWLDhg3s27fvqu+h0+k4c+YMjRo1KvQTHh4OQLNmzdixY0ehKu3bt2/HbDYXW5G3SZMm7N69u1Dbf+9NtmvXjsOHDxd570aNGqHV5i9qUKvV9O3bl7lz53Lw4EFOnz7Nr7/+WuLvwl3OJWdxx/s7eHtTNKcSMjl2MYMXvjvEhE92EZua4+7whBBCVDEOm53sqETiFx4g92gKtuRcco8mE7/wADlHknDY7Fd/ESGEKKkqdu0jrlFaDHxxJ/z8BMRFQeJx2DwblgyAFLnfKKoWt1aeuu+++/jnn3/49NNPCQ0N5bPPPqNv374cPny4yEoyt/GqA3d8nJ/okpOWXwLQI6BCT8jvvfce3bp1o2PHjrz00ku0atUKq9XKhg0beP/994mKiuKDDz5g5MiR3H///UyePBlPT082bdrE448/zh133MGIESMKveb48ePp0aMHUVFRPPnkkyWKIysri9jYWKxWK+fOnWP16tW89dZbPPTQQ/Tp06fUn2vAgAHEx8fj6Vm6MoqXJmyuFBkZWfDfcXFx+VWa0tPZs2cPc+fOJSEhgW+//bbUMVYYWx7kOJmwcNgh/QJ418vfxk8IUTO4Yex4//33Aejdu3eh9qVLlxasAj9z5gxK5eW86a5du/LFF1/w3HPP8cwzzxAZGcmaNWu47rrrKixOUTK52VZ2fHscS27RyacTe+Npd1M9DGYpdS5EjeeG8WT37t2F/tafNm0aAGPGjGHZsmUV9r6i7BIy8li45XiRdqvdwVPf/s2XEzoTYC5dhRYhRBXlhvEhMTGR4cOHM27cOFq1aoXZbGb37t3MnTuX2267Dciv/r1p0ya6deuGTqfDx6f4eKZOncqPP/7IjTfeyIwZM+jRowc+Pj4cO3aMn3/+uWDhndlsZvr06UydOhW73U737t1JTU1l+/bteHp6MmbMGCZOnMj8+fN5+OGHmTx5MkePHmXGjBlMmzat0DXQfz3wwAO8+eabPPnkk4wfP579+/cXjHeXtq578skn6dy5M5MnT+a+++7Dw8ODw4cPs2HDBhYsWMAPP/zAyZMn6dmzJz4+Pvz000/Y7XaaNGlSDt98xbHY7Hz511li04omSf19Po19Z5IZ2DLEDZEJIYSoqmxpeaSsOeG0L3nNcbT1PFH76Cs5KiFEjeaGax/IX1x4/PjleyyX5qp9fX0LtgQXJXRmB8QeLNqedh72fQ49nyi8hZ8QbuS25Kns7Gy++eYbvvvuO3r27AnAzJkz+f7773n//fd55ZVX3BVaUQafSs1ebdCgAXv37mXWrFk89thjxMTEEBAQQPv27Qsmx++44w5+++03Zs2aRY8ePcjJySEyMpJnn32WKVOmFNzguaR79+40adKE48ePM3r06BLFsXjxYhYvXoxWq8XPz4/27duzYsUKhg4dek2fS6FQ4O/vX+rnXZqwudLvv/9e8N9NmjRBoVBgMplo0KABN910E9OmTSM4OPia4qwQ2Smu+3JS87fxk+QpIWqWSh47rlxh7crmzZuLtA0fPpzhw4dXQESiLPKyrZz+J9Fl/4n98QRGyJ7uQtQKlTye9O7du0Rjiqh6/j6Xiqt/uuNxGaRlWyR5SoiapJLHB5PJRKdOnXjrrbc4ceIEFouF8PBwJkyYwDPPPAPAvHnzmDZtGosXL6ZOnTqcPn262NfU6/Vs2rSJ+fPns3TpUp5++mnsdjv169dn4MCBTJ06teDYl19+mYCAAGbPns3Jkyfx9vamXbt2Be9dp04dfvrpJx5//HFat26Nr68v48eP57nnnis2hvr167Nq1Soee+wx3n77bbp06cKzzz7LQw89VLAlYKtWrdiyZQvPPvssPXr0wOFw0LBhQ+68804AvL29+fbbb5k5c2bB/bkvv/ySFi1aXOvXXSmSs/L4bv95l/0rdp2lT9MA9Bq3rr0VQghRhdgzLDicLPQDcOTYsGdaQJKnhBDlrZKvfUAWF5abvEzY+4nr/r9XwvXjwBRUeTEJUQy3Xf1arVZsNht6feE/pAwGA9u2bXP6nNzcXHJzL29xlpaWVqExulNISAgLFixgwYIFLo/p0aMH69atK/FrHjlyxGXffyfUnU2wX4viJl68vb2L9F/tcWlev0r5TzLbfzorLQwhaqPaNHaImkWpUGB3Mc4pVTJ2CFFRZNwQ1ZX6KmNDsZckQogyqQ1jh06nY/bs2cyePdvlMYMGDWLQoEGlft0nn3zyqlXSFQoFjz76KI8++qjLY3r16sVff/3lst/Vva7BgwczePDggsezZs0iLCys0D3L66+/nl9++cXp87t3715u99EqkwIFaqXrwUGtUqCQe1ZCVIjaMG6IGupqw4IMG0JUGBk7KpcsLiwnCkXxxUOUKmTwEFWJ67rVFcxsNtOlSxdefvllLly4gM1m47PPPmPHjh3ExMQ4fc7s2bPx8vIq+AkPD6/kqIW4Rnpv130GH6k6VUapuamcSj3F7tjdRCdHk5Sd5O6QRBUiY4eojvQeahq1D3TZ37Ct6z5xdTa7jdjMWP5O+Ju9F/dyLv0cOdai25WI2knGDVFdtQj1ROViErxVmBfeRk0lR1SzpOdYOJ2QyZ+nEjl0IZWLTra5ErWXjB3V28KFC9m1axcnT57k008/5fXXX2fMmDHuDqvC+XloGXm96y1H7ulcD51G7leVxcXUHA6dT+XPU4mcTsgkPcfi7pBEFSHjhqiulCYNSqPzmgxKkwalh7aSI6pZ7Hk2rEnZ5J5OJfdsOtaUXBx2Sd4Q+WTsENWSxggd73fd3/7e/G0YxbXLiIOLh+D0dkg4BlnJ7o6oWnNb8hTAp59+isPhoE6dOuh0Ot555x1GjRqFUuk8rKeffprU1NSCn7Nnz1ZyxOJKr776KiaTyenPwIED3R1e1aLSOj/5KzVgDpbkqTKIzYzliS1PMHjNYO5dfy+3r72dBzc+yLn0c+4OrdzZc3KxZWRItnspydghqiONTk3HwQ0weha96dT6xnBMPrLt0rXKs+Wx5+Iehn8/nP/9+D/GrBvD4DWD+Tzqc1JyUtwdXvlyOCA3HSzZ7o6kWpFxQ1RXAWYdLw0uukWUh1bFa7e3wtdDxo5rFZ+ew8s/RNFn3mbu/GAnt7yzjWHv/8HR2HR3h1bu8qx20nMs2GSSplRk7HCuRYsWLu8bff755+4Or0B0dDS33XYbzZs35+WXX+axxx5j5syZ7g6rwimVCm5rG0rjIFORvj5NA2kWKtuEXyuHw0FUTBq3v/8Ht7y7jTs/2MkN8zYz++cjxKfnXv0FqpnMXAvZec638RLOybghqiuVpw6fO5sUnVlUKvC9swkqJ/exRMnYMi2k/36e2Hl7iF90kPj39hP37j5y/03DYbO7O7xyZbdbsFrTsdslqbg0ZOwQ1VZIG2jYt2h7YAtoMURKpZdF0in4dCi83xWW3QwLrofV90PaBXdHVv7yMiE3s8Lfxq2b1jds2JAtW7aQmZlJWloaISEh3HnnnTRo0MDp8TqdDp1ObvhWFQ8++CAjRoxw2mcwGCo5mipOpQZTMOi9IDMe7Lb8/9Z7gVp+p69VRl4Gr/31Gn/E/FGoPSopiim/TeGDfh/gZ/BzU3Tlx5qURO6xaJI++QRbWhrmm/ph7tsXbWiou0OrFmTsENWVV4CBYU924OT+eE7tj0fnoaHNjWH4hHig95DqIdcqJjOGBzY+gNVuLWiz2C3M3zufht4N6R3e233BlaeUM3B4LRz9EQx+0GUiBDQFo6+7I6vyZNwQ1ZVRq2Zwm1BahXmxZPtpzqdk07mBH8Pa1SHMx+ju8Koti83OZzvPsHJ34RvT55Kz+d/inXz/cHdCvav/9W9atoXTiZl8vO0UF1Ky6drQn9v//3fHVUUzcZmMHc799NNPWCzOJ8WCgoIqORrX3nrrLd566y13h+EWIV4Glo/ryM4Tiazccw6tSsnoLvVoGeZFoFl/9RcQTl1IzWbU4p2kZF3+/bc74Is/z1DH28CDPRugUrl1TXO5iEnJZvuJRL7Zcw6NSsGYrhG0CvMmwCznw6uRcUNUVwqlAl0DL4IebU/GzgtYYjPRhHhg6hyKykeHQv5uvGa5J1NI3/BvoTZ7poWEj/8maEp7NP7V/5rDZssmO+cc585+SkbmEczmFoTVuRu9PgyVSs6JVyNjh6i2zEEwZCFc2Ae7PgSbBdrcDfV7gKfMc16z9Ivw5UiIP1K4PfoX+OV5GPQ26IoulKl20mPh/B7Y9RHYrdD2boiouN8dtyZPXeLh4YGHhwfJycmsX7+euXPnujskUQK+vr74+soEXImp1KAyg8YDcIBCKdm0ZZSYk8ivZ3512nc0+SiJ2YnVPnnKmpxM/LsLSPnyy4K27N27SfroY+p9/jna8DA3RieEqGiefnpa3xBG864hKNUK1LJtRpn9fOrnQolTV3pv/3u0DmiNj96nkqMqZ0kn4eOb8hO2LznyPXR5GHo+lr9lsBCiRjLrNbQM82bOsFbkWm0YtWpJfCmj+PRclmw75bQvMTOPoxfTq33yVFauldX7zjNj7aGCtl2nk/no95OseqgrzUKk+oy4NvXq1XN3CKIEQrwMDG0XRr8WQagUSgxaueYoq0Pn0wolTl3pw60nGdq2TrUfO2JSsrn74784EZ9R0LY1OoEbmwby2rCWBEjynRA1llKjQhlkxPvWBjgsdhQaJYoakBDqTraMPNI2nHHeaXWQfSgBTa/qvUWb3W4lOflPDhycAORX0kpN3cP581/QuvXH+Pp0RaGQ3yMhaixzEDQZAPV7gsNeM5J63C0jtmji1CWHvoUbnq3+33P6RVj9IJz87XLbqa0QdB3c9XWFJFC5dSRav34969at49SpU2zYsIE+ffrQtGlT7r33XneGJUTFUirzt+mTxKkyy7Rk4sD1dhKJOYmVGE3FsMTEFEqcusQaF0fCokXYc2peuXchRGEKhQKtQS2JU+XAZrcRlRTlsv9s+lnybHmVGFEFyMuETS8XTpy6ZMe7kBZT+THVArKlblHynbiXVq3ErNdI4lQ5yLXaSM91nnQLcDK+4kuGV7T4jFxe/P5QkfbMPBvPrP6bpMxqPjZWUXKerL2q6r+9SaeRxKlycjwuw2VfaraFPGv13n7JZnewet/5QolTl2w6EseRGritrRCiKIVKiVKvlsSpcuCwOrAmZbvst5x3Pa5UF3l5cRw6PI1LiVOXOBxWDh9+jNzcOPcEVsNV1b87RcWoFv/eWmP1T+ipKjIuuu5z2PPnCaq7C3sKJ05dcvEfiFoLFfA779a/alJTU5k0aRJNmzZl9OjRdO/enfXr16PRyFY0QoirM2vMqBSub+wFGAMqMZqKkfbjT677vv8eW0pyJUYjhBDVm0qpok1AG5f9DbwaoKvuZcKzkiDqO9f9R36ovFhqgUvXLVlZWW6OpOq59J3ItZ2o7nRqFT5G17/HTYKq/02/g+dSsbu437TvTAopWZI8VZ5k7BAyRtZ8zUNdV+zzN2nRaap3okFiZi5f7nJRIQX4dMe/1T5BTAghKpNCrUAT6HqrdV2EVyVGUzHy8hKwWlNd9lks1X8hfFUi1xy1U15e/rW7SiULImoFczFVl1Qa0Fbz+1V5mfDXR677dy+FzIRyf1u3bts3YsQIRowY4c4QhBDVmK/Bl0ENB7Hm+Joife0C2+Gnr95b9gE4bK5XuTtsNoopvCWEEMKJfvX68f6B98m2Fl3R92i7R/HWe1d+UOXNUcxEhc359iHi2qhUKry9vYmLy18haTQaUdTy6qIOh4OsrCzi4uLw9vaWGzai2gvy1DOpTyNe+bFo5cJQLz2NAqv5zSjAai9+grs6LF6tTmTsqL1kjKw9mgSZCfLUcTGtaLXwR26MJKiab2nncIDN5npwsNgcxVaKF0IIUZjKpMWzfwSJS4tWg1VoVeib+rohqvLlKO5eFdWkYk41ItcctY/dbic+Ph6j0Yha7db0D1FZzEFQpz2c31O0r83dYAqq/JjKm931HHl+X/mPHfJ/jxCi2vLQePBI20ewO+z8cPIH7P//B3j30O7M6DoDH72PmyMsO8/+/Ulettxpn7lvX5RerlczCiGEKCrYI5gl/Zfw+JbHOZdxDsivZPj49Y/TzLeZm6MrB3ovaNQXojc47296S+XGUwsEBwcDFNyQEvm8vb0LvhshqjOVUsHQtnVIycpj8e+nyP3/ShrX1fHk3VHtCPYyuDnCsmsd5u2yr3GQCa9iKm+JayNjR+0mY2TNF+Jt4MsJnZn8xT4Ox6QBoFMrebBXQ25pGYKymm+r6+uhZXCbUBZtOem0f1THcHRqSQ4UQojS0NY14317I1J/PIUj1waAyk+P36imqLyreZV0QKsNQKUyYrMVrYSkVnui1Vb/BLGqRq45ah+lUkndunUlUa628AiA4cth7WQ4uTm/TamCVqOg91P5WyRWZ1oPaHs3nNrivL/VnWAs/yIqkjwlhKjWAowBPNPpGR5o9QDplnQ81B746n3x1NWMpCJt3bqYbryRjE2bCrUrzWYCpjyKyljNBz8hhKhkaqWa6/yv45OBn5Ccm4zVbsVH50OAMQC1sgb8aaz3hH6vwL87IC+jcN91w8ArzD1x1WAKhYKQkBACAwOxWKSyF+SXh5dqGqIm8TPpmHxDJHdeX5eUrDz0GhV+Ji2+HtV/EgMgwKRjYu+GLNx8olC7RqVg9u2t8DfVjM9ZlcjYUXvJGFl7NAgw8en4jiRl5pFjseFt1BLoqasRSUUalZK7O9dj9b7zRaprtQn3LjYpVwghhHMqgwaP9kHoI32wZ1lQqJQoPTSozFp3h1YutNoAmjR+kcNRjxfpa9rkFbTaQDdEVbPJNUfto9VqUSqr9/bQopS8w2H4svzt6/IyQO+dn1Slq/5V0gGI6A5BLeHi34XbvcKh9aj8ZLFyVgNmiIQQtZ2HxgMPjYe7w6gQaj8/QmbOIHPgAJKWLsWWnoG5T2987roLTZhMgIvL3n//fd5//31Onz4NQIsWLXjhhRcYOHCgy+d8/fXXPP/885w+fZrIyEjmzJnDzTffXEkRC+FeAcYAAowB7g6jYvhHwgNb4c/34fim/Iumbo9AvW7g4e/u6GoslUolk6FC1GB6jYpwXyPhvjVv8YLZoOG+Hg3oWN+XBb8eJy49lw71fHiod0Pq+dW8z1uVyNghRM3mZ9LhV0MTUMN8jHzzUFdW7T7H2gMX0KiU3NOlHn2bBRHkVb23JRRCCHdRqJSoffTgU/POoyqVFv+Am2hvjOD06QVkZZ3Cw9iIiPqT8TA2RFkTFjRWUXLNIUQNZ/DJ/6mJPEPhrpUQ9QPsWZK/VV/LO6H1yPzEsQogo1EJpOamkpSTRHpeOmatGV+9L146rwp9z9jYWGbNmsWPP/7I+fPnCQwMpE2bNkyZMoUbb7wRgD/++INXXnmFHTt2kJ2dTWRkJPfeey+PPvooKpWKb775hhEjRnDmzBnq1KlT5D0iIyMZNGgQb775Jr1796ZNmzbMnz8fgN69e7NlS34ZNK1Wi7+/P+3atePee+/l9ttvL/Hn2LJlCy+++CL79+8nJyeHOnXq0LVrVxYvXoxWq2Xz5s306dPH6XNjYmKYNWsWGzduJCoqqkj/mTNnqF+/PqtXr2bw4MEljkmUjjU1FVt8PNl//43S6IG+eTPUAQEo9TXvD/iqSh0QgNett+LRrRvYbCg9PVFqa8aKk5qssseOsLAwXnvtNSIjI3E4HCxfvpzbbruNffv20aJFiyLH//HHH4waNYrZs2dz66238sUXXzBkyBD27t3LddddV2FxitohJiWbkwmZnE3OIjLQTLiPgUBPGTcqjVIFfg3hplnQ43FQqSukhK0QQpSb3HTIiIPzu/Mf1+kApkDQmd0bVy3i66Gld5NA2tb1Ic9qx6RXYdDILSMhRNV1MS2Hs0lZHI/PINzHSAN/D0K8q/9WqtVJmI+Rh29oxF2d66JUKGpsopgQooawZEPGRbiwH/IyoU57MAfV3AnnKkijNuHt1Y7rWryDzZaNSmVAra4h1VGEEDVTZjykXYCYA2AKgsBmYA7Nv98uKodnKHScAC2GAo78eY4KqDh1ifzLXkVsZiwz/pjBHxf+KGjrFtqNmV1nEuwRXCHvefr0abp164a3tzevv/46LVu2xGKxsH79eiZNmsSRI0dYvXo1I0aM4N577+W3337D29ubjRs38sQTT7Bjxw5WrlzJ4MGD8fPzY/ny5TzzzDOF3mPr1q0cP36c8ePHu4xjwoQJvPTSS1itVs6dO8fq1asZOXIkY8eO5cMPP7zq5zh8+DADBgzg4Ycf5p133sFgMBAdHc0333yDzWYrdOzRo0fx9Cy8zVpgYCDjx49nwYIF/PHHH3Tt2rVQ/7JlywgMDJQqKRXImpBA3Lw3SV29+nKjRkPoa69h7tMbpWwZV6nUPnIhV124Y+wYNGhQocezZs3i/fffZ+fOnU6Tp95++20GDBjA44/nl0p++eWX2bBhAwsWLGDRokUVEqOoHY7GpnP3R38Sn3F5+4aGASaW33s9YTWwWkeVptbl3wgUQoiqLDsZdn0Mv70CDkd+m0IBfZ6D68fLZEYl8zJo3B2CEEJc1dmkLMYu/YsT8ZkFbQEmHZ9P6ETjIEm8rUwqlZIAsyyUEUJUcXmZcGw9rL4fbFdsX9bmLug7M3/hhqg0arVJkqaEEFVfWgx8ex+c3na5TWuCu1ZB2PWSQFWZFAowVc4uIrLxZTFSc1OLTH4DbL+wnZl/zCQ1N7VC3nfixIkoFAr++usvhg0bRuPGjWnRogXTpk1j586dZGZmMmHCBAYPHsyHH35ImzZtiIiI4L777mP58uWsWrWKlStXotFouOeee1i2bFmR91iyZAmdOnVyOqF+idFoJDg4mLCwMDp37sycOXP44IMPWLx4MRs3brzq5/jll18IDg5m7ty5XHfddTRs2JABAwawePFiDIbCK8ECAwMJDg4u9KNUKmnTpg3t2rVjyZIlhY53OBwsW7aMMWPGoFbLyamipP/2W+HEKQCLhQvTp2OJiXFPUEJUce4aO65ks9n46quvyMzMpEuXLk6P2bFjB3379i3U1r9/f3bs2FHh8Yma62JaDuOW7SqUOAVwIj6Dx1cdICUrz02RCSGEqLIuHoZfX76cOAX5//3ry/l9QgghxBVSs/J4fNWBQolTAPEZudy7dBcXU3PcFJkQQogqK/UcfDOucOIUwP7P4dg698QkhBCi6rLmwra3CidOAeRlwGe3Q9p598QlKpwkTxUjKSepyOT3JdsvbCcpJ6n83zMpiXXr1jFp0iQ8PDyK9Ht7e/PLL7+QmJjI9OnTi/QPGjSIxo0b8+WXXwIwfvx4oqOj2bp1a8ExGRkZrFq1qtiqU66MGTMGHx8fvv3226seGxwcTExMTKH3vhbjx49n5cqVZGZevimyefNmTp06xbhx48r02hXK4cjfe9Nud3ck18SakEDi4o+cdzocpH63tnIDEqKacMfYccnff/+NyWRCp9Px4IMPsnr1apo3b+702NjYWIKCClekCQoKIjY2tsLiE1dntdjIzbZitzuufnAVdDEth/Mp2U77dpxMIilTkqeEEKK8pedYyM6zXf3Aqig3I/9mlCvb385fJS6EEKLc5FntpOdYsNiq5/2qxMw8dp50fl19PiWbi+mSPCWEEOUtNzeX3Nzcqx9YVe3/svBijStteyt/Oz8hhBDlx2aBnDSwVtP5gIw42PeJ8z5LFlzYW7nxiEojJXuKkZ6XXqb+a3H8+HEcDgdNmzZ1ecyxY8cAaNasmdP+pk2bFhzTvHlzOnfuzJIlS+jZsycAK1euxOFwMHLkyFLHp1Qqady4MadPn77qscOHD2f9+vX06tWL4OBgOnfuzI033sjo0aOLbNEXFhZW6HG9evU4dOgQAP/73/947LHH+Prrrxk7diwAS5cupXv37jRu3LjUn6HCORxgy8vffiI3DZQa8AgAtb5alfBzWK1Y4+Nd9uf9+y8Oux2FUnIwhbiSO8aOS5o0acL+/ftJTU1l1apVjBkzhi1btrhMoBJVR06mheTYTA5sPEtWWh71rvMj8vogzH56FAqFu8MrseQsS7H91XZyXwghqqALKdn8eiSOtQcu4KFTcW/X+jQP9cTfpHN3aCVnzYWMYhK30y+ANQe0RRcWCSGEKJ3MXCtnkrJYuv0UJ+MzaVPXm/91rEuYrwGtSuXu8Eos21L8NUXKVa5JhBBClFxaWhpnzpxhz549AHTo0IG6detiNlejLVLtdkg+6bo/PRZs1sqLRwghajJrHqT8C7uX5CcY+UVCpwfBNyJ/y7vqwpYHFueLxAFIOVt5sYhKVX0yOdzArC3+D8Cr9V8Lh6vs9zIcO27cOKZOncq7776L2WxmyZIlDB8+/Jr/wHU4HCWayFWpVCxdupRXXnmFX3/9lT///JNXX32VOXPm8NdffxESElJw7O+//14oHo1GU/Df3t7e3H777SxZsoSxY8eSlpbGN998w3vvvXdN8Vc4ay4kHAPHFTdzclLAHJKfRKWsHjeklEYjhpYtyfrrL6f9pp49JHFKCCfcMXZcotVqadSoEQDt27dn165dvP3223zwwQdFjg0ODubixcKrqi5evEhwcHCFxSecy822cPC3s+z64XRBW8yJVPZtOMOwJ9rjE1x9JozDvA0u+/QaJZ4Gjct+IYQQJXc+OYs7P9zJueTLN3J+OxLP0DahPHdrc/yqSwKVzgx1u0Ls3877I7pDBf7tJIQQtUWe1cbGqIs8+tX+grbd/ybz6Y5/+fy+TnSI8HVfcKXkqdegUyvJtTqvnBVazDWJEEKIkktLS2PFihWcP395a6JTp04RFhbGiBEjiiyQr7KUSmh0Exz+znl/nfayWEMIIcrL+T3wyeD85COAMzth/2dwx1Jocguote6Nr6Q0RvAKy9/21ZmwDpUbj6g0kvlQDF+9L91Cuznt6xbaDV99+d9YiIyMRKFQcOTIEZfHXKq2FBUV5bQ/KiqqUEWmSxWmVq5cSXR0NNu3b7+mLfsAbDYb0dHR1K9fv8TPqVOnDvfccw8LFizg0KFD5OTksGjRokLH1K9fn0aNGhX81KtXr1D/+PHj+f333zl+/DgrVqxApVIxfPjwa/oMFcpuhdSzhROnLkmPKbqndhWm8vQk8LHHwEminMrPD48uXdwQlRBVnzvGDlfsdrvLktpdunRh06ZNhdo2bNhAF/l/u9JlpeYVSpy6JDfLyravo8nNqj6r3/xMWvq3CHLad3+PBgR56is5IiGEqHnyrDaWbD9VKHHqktX7L3A6McsNUV0jtRY63Z9fpfe/NAa4/r7qc2NNCCGqsLi0XJ785mCR9lyrnWkrDxCXVn22ugv01HF/zwZO+/q3CMLfJOOGEEKUhxMnThRKnLrk3LlzJdqZpEpp0Ct/Yft/KRTQ70UweFd6SEIIUeOkxcDq+y8nTl3icMB3k4qvPF7VeIZA35ec9wU2B9+GlRuPqDSSPFUML50XM7vOLDIJ3i20GzO7zsRL51Xu7+nr60v//v157733yMzMLNKfkpLCTTfdhK+vL/PmzSvSv3btWqKjoxk1alRBm9lsZvjw4SxZsoSlS5fSuHFjevTocU3xLV++nOTkZIYNG3ZNz/fx8SEkJMTpZytOnz59qF+/PkuXLmXp0qWMHDkSD48quBrAboO8DNf9xfVVQdrIRoR//BGaK5LZjF27UO+zT9GEhroxshoiNxPSL0J2qrsjEeXIHWMHwNNPP83WrVs5ffo0f//9N08//TSbN2/mrrvuAmD06NE8/fTTBcc/+uijrFu3jnnz5nHkyBFmzpzJ7t27mTx5coXEJ1w7dyTZZd+Zw0nkVqNtJ7yNWl667TrGdK2HTp3/Z6anXs2TA5owpmsEWrX86VlW1uRkLAkJ2C3V5/dCCFG+kjLzWLWn6CTGJSt3V7PS4d4RMG4dhLS+3BbSBu79Ob9PlEmOxUZceg7JmXlXP1gIUWOdTc4ix+K8UtOZpKyrbr9dlejUKsZ2jeCJ/k3w1Kv/v03JmK71eOm26/A2SvJUWaVk5RGXnkO2pfos5BFClK/s7Gx2797tsn/Xrl1kZxeznVFV4x2ef31Rv9flNt8GcPdq8G/qvrhqCIvdTlyuhYS86vP3hBCiAmQlQcoZ5315ma6rOFVVjW6AoR+A6f8XiytV0OJ2+N9KMDtfQC5KISctf448t2rlTsi2fVcR7BHMnJ5zSMpJIj0vHbPWjK/et8Imv+H/2LvvMKeq9IHj35veJ9M7zFCG3pFebSgC4iqIDRHEXrDv6vpbVxdddbGsBbFjRRRBXRVEBBGQIkXpvTO9JZlJT35/RAbHSYaBSSZTzud55lHuSXJPwpBz7znveV945ZVXGDx4MP369ePxxx+ne/fueDweli5dyuzZs9m5cydz5sxh0qRJ3HTTTdxxxx2YTCaWLVvGAw88wBVXXMHEiROrvea0adMYOnQoO3fu5KGHHqpTPyorK8nLy8Pj8XDs2DEWLlzI888/z6233srIkSNP+/w5c+awZcsWLrvsMtq2bYvD4eC9995j+/btvPTSS9UeW1BQgMNRfZdbfHx8Vfk+SZKYOnUqzz33HKWlpTz//PN1eg+NT93LMtbG4/VRZHPh9/sxaBQYNZEpgyTX6TAMGkTrD97HZ7UiyeXIY2ORN5WUvI2V2w7F+2Hls3BicyD147AHAotEutho904Ig2iMHQUFBUyePJnc3FxiYmLo3r07S5Ys4YILLgDgyJEjyP5QanPQoEF89NFH/P3vf+fhhx+mffv2LFq0iK5du0asj0JwXm/wRQwA/GdW0rc2jgobbocDSZLQmc3IIlRGNtmk4eHRnZg+pA0OjxetUkGySY1CLgKn6sNdWEjF6tWUvDsXX0UFxnNHEnvNNSgzM+tUTlkQhObDD3h9occGT23jypmcx++nwOrE5/OjVckjtxgtV0BaL7j2c7D/HlCsjQV9QmTO10J4vD6OllbyxsqDrNpXhFmn5OZhbenfJo6EplLWURCEsPGe5pYiXPccFU4PFocbCYjTq1ApInPPEW8IZJ+6tGc6drcHjUJOokmNOkLnaylKbC42Hy3lleX7KbQ56JcVxy3D29I6QYdKLj5bQWhJ/H4/Pl/o+wqfzxe2saPIXoTX50UpV0Y2Y39Ce5j4HthLwOsBTYxY/A6DI3YnH+YW82VBGWqZjBvSExiVYCJFLYKZBaHlOc18lC9I1aaz4PR4KalwgR/MeiVaZYTCXbSx0P1KyB4GTiso1IEshqLUa/3Yy6FgB/z4NJQcgKROMPwhSMgBtSHavRPBU3URo46J6IL3n7Vp04ZNmzYxc+ZM7rvvPnJzc0lMTKRPnz7Mnj0bgCuuuILly5czc+ZMhg4disPhoH379jzyyCPMmDGjxiLakCFD6NChA/v27WPy5Ml16scbb7zBG2+8gUqlIj4+nj59+vDJJ59w2WWX1en5/fr1Y9WqVdxyyy2cOHECg8FAly5dWLRoEcOHD6/22A4dOtR4/s8//8yAAQOq/jxlyhT+8Y9/0KVLF/r371+nPjQ4SR6og+oOUSpDVf9/9Lnldj5ed4T31x6mwullaE4CD47qQHaCPmKTUsrEREgMktZWODtH1sEHl4H/9wuJssPw/mo47zHoN71RDA5C/TX02PHWW2/V2r5ixYoaxyZMmNA4S6C2MJkdQ08MpbaLQa2rX4Csx+Wi+PgRVn74Lsd2bENjMND74kvpMvxcDHHx9XrtUNQKORlxuoi8dkvkKSoi95G/U7FyZdWxkrnvUbZwEdnzP0GVlRW9zgmC0OBidSou6ZbCJ78E37F3RZ+Mep+j0Org6625zPnxAIVWJz1bmfnbxZ3olGJEp47QNII+QQRMhdH+QhvjX1mD3R2YnDxSArd/tInLeqXz6JjOxOnFYoYgtCSt4nQo5RLuIFFUKSYN5nrec3h9fg4VVfDc0j18vzMftULGxL6ZTB2STZpZW6/XDkUhl5EeG5nXbonK7S5eWbGPt1YdrDp2tOQ4X/2ay/xbBtAzU2z2E4SWRKvV0rNnT3Jzc4O29+rVC52ufvM+pY5S1uWu49Utr3LUepQ25jbc1esueib1jNycqtYsSvSF0RG7k0s27aXQdSpT4UN7jvFZvo43u2STrI7Mpn9BEBopbXwgS5Mtv2abQg3mVvU+xdGSSuas3M/CTcfx+WF0txTuPLc9reN1kdlgLElgEpWYwsbthB0L4au7Tx0rOwx7l8CE96DjJYEMX1Ek+cMVHh4FFouFmJgYysvLMf0pE47D4eDgwYNkZ2ej0Wii1EOhRXJVQtEeamSZ0iUEaqTK6rbYEOx3ON/i4Ma5G9h63FLtsWqFjC/uGEzHFJERKhrsHjsWpwUJCbPGjEpey0KEJRfevjB46kqZHO7YBHFZYe9jbd+XLY0YO+pPfE7h5ahws3bRfrb/dKLacYVSxuUP9iEh01iv18/du5uP/+8B/H/aMZjZuTtjZjyILsZcr9cXzk6xzYnL40OpkJ02A0jlxo0cvubaoG2msWNI/ec/kdVz0jIYMXYEiM9BaIwOF1dw2atrAjvt/mBouwSeu7IHicazH59LK108umgb//ut+kKJJMF7U/sxtL3YVBEVHhdUFgF+0MSCKvT3fnmli1s/3MSa/cVB27+5awid08K/ICW+L08Rn4XQ2NhdHuZtOMo/v9pR7bhMgnemnMOwnMR6LTYcLKpgzH9/osJVfTd5doKej27sT2qEAqiE2pVVurC7vchlEkmnuTbYV2Dj/Od+DNrWJc3Ee1P7ER+BzIXi+zJAfA5CY1ReXs57771HcXH1a8qEhASuu+46YmLO/nrS7rEzd/tcXtnySo22R/o/wuXtL0cpF4E3Dc3v8+OzufD7QKaRI9OEXstyen3MPHCC148VBW1/v1s2FyREJghOfGcGiM9BaHR8Pti3FD6+Ev4cfjJ6FvS6BpRnf19wvMzOFbPXkFtevZJVrE7JF3cMoZXYzB0dDiu4LIAMDEm1Bz+VHYFX+gUqNP2ZLg5u/ilQrSnMzuT7UmSeEoRwU2ohsSNUFATqdMoUgfSvSl2dA6dC2ZNnrRE4BeD0+Hjm2128eFWviJXwE2ry+/0csR7h9d9eZ+nhpShlSsa1Hcd1na8jzRAiEtlRFrrmr88LRbsiEjwlCELjpdEr6TeuDa27xrNpyWHsNjcZHWLpeX4rjAn1C06rtJTzwztzagROARzd8Rtl+XkieKqBlVW62HColP8s2c2BIhvZCXruu7AD/bLiiA2RBaT8f/8L+XrWJd+RdN99EQmeEgSh8Wodr+eL2wczb/0Rvt2Wh1YlZ+rgbIa2T6hX4BRAfrmjRuAUBOa9Hl20jfk3DyTJJIKnG1TZUVg7G7Z8CF4XdBobSGkemw2ymmVxLQ5PyMApgOW7CiMSPCUIQuOlVSn4S+8MOqeaePmHvRwptdM1LYbbR7YjO6F+u7TtLg+zV+yrETgFgaCqDYdKGddTBE81pAqnh525Fp76dhdbj5WTZFJz24i2XNA5hURj8ACojYdLQ77e9hMWLA53RIKnBEFovGJiYpg8eTLbtm1jy5YtSJJEr1696Ny5c70CpwCK7cXM+W1O0LbnNz7PsIxhoefXhYjwWpxUbCzAtuY4PrsHdVszMRdloUzUIgWpeFLq8bCooCzk632UW8KIOCPKIPcrgiA0UzIZZA2Fm1bCT/+BvK0QmwXDHoCkzvUKnPL7/Xy3Pa9G4BRAaaWbT9YfYcYFOSjl4junwXhcULwXlj0OB5YHyuH2uxl6XhNIJhOMNTd44BRAZQlUFkckeOpMiOAp4aw9+eSTPPnkk0Hbhg4dyrffftvAPWokJAmUGjBlgN8LSCAPzz+1b7blhWz7cW8RNodHBE81oOO241z99dVYXIGANjt2Ptj5AcuPLufdi94lRZ8S5FmnmZCsZ4CdIAhNk86oIrtHIqntzPg8PlRaBQpV/dOTuh0O8vbvCdl+6NdNpOV0rPd5hLpxur18vvk4j/9hx/+efBs3v7+Rhy/uyORBWWiUNf/eJUUtY7tCjBuC0FJlxumYcUEOUwZnIZdJxOnDs6C5+WhZyLZDxZVYnR6SwnImoU7Kj8F746DkwKljv30Ce5bATSsgLrvGUyQpkE3GFyLPuEIegVT2giA0ejFaJf3bxNM5zYTD7UWvUoSlFKvF7uGHXQUh27/49TgXd01BqRALGQ1l/cESbnh3Q9Wfj5XaeXjhNjYdLuPvYzph1tXctHG6sUE63XyWIAjNUkxMDAMHDqRHjx4A6HQ6ZGEIhim0F+LxeYK2VXoqKXWUiuCpBuS1uij+aBeuQ6c27jt3l1Kwr4yk23qiSjfUeI6EhKKW4GulJMYOQWiRVDpI7Q6XzgaXLRAwpal/ZjSb08PXQTb6nbR4ex43DMk+bYUHIYyKdsMb5wY2+QHYCuCHJ2DvUpj4XiCxzJ9Jp7mGiETpxTMk7lqFs3bLLbewZcuWoD9vvvlmtLsXfTIZyJVhC5wCMOtCL57qVfLG8J3SYri9bj7a9VFV4NQfHbcdZ/Xx1cGfqIuDhJzgbQo1xLcPYy8FQWhqNHoluhh1WAKnACSZhLyW4BqNQR+W8wh1U2hz8sziXUHbZi3dQ6HNGbQtZtzYkK8ZM/5S5LGxYemfIAhNj1IuI9GoCVvgFICxltIMkgQKmbjpaFAHV1YPnDrJUQZrXwFPzbHDrFNyQedgGzkCRnYU4W+C0JIZNUoSjZqwBE5BYPpLX8trmTSKYEnyhAjJtzh49IttQds+23SMohD3HH1axYacV+yXFVvrnKQgCM2bTCbDYDBgMBjCEjgFoJIFz7x9kijZ17A8RfZqgVNVvH7K/rcfb6W7RlOCUsFVqXEhX3NyeoK4dxSElkytDwTPhCFwCkAuk9DXMl+lVyuQi0XyhmMvhyV/PxU49UdH1wYyUgVjSAlkqArGlAa6hPD18SyJW1fhrMXFxdGuXbugP+np6dHuXrN0ac/Quy2u6d9apM9uQOXOcpYfWR6y/ZuD31DprqzZYEiCy+YET0859r9gCBKJKwiCcJa0xhg6DhkRsj2rR9+G64xAsc2Fw12zhCIESvAWWYMvZCgzMjBPnFjjuCI1lfhp05CpxfgvCEL4dM8wowyRfWJETiJxIUqMChHgroStn4Vu3/UN2GuWWTKolfz14g5B/65uH9mOZJMYNwRBCJ8Eg5rrB2WFbL92QBZyET3VYKwOD8dKQ5TCAH47Vh70eKJRzSOjO9U4blQreGJ8t6DZqgRBEM5WgjaBeE180LZMYyaxarFJrCHZd5WEbHMdtOB31izNK5dJXJ0aT1ttzXuLSxJi6KAXpd4FQQgfnUrBtME1M2+fNG1wNrFivqrhuKxwcEXo9p3/C37cmBpYI/9zBiq5Ei57PdAeZaLOhyA0IWkxWh4Y1YFnl+yudrxTqpHJg1qLWq4NSCaToVPqQrbrlXrkUojMMSnd4dY1sOn9QARuXFvofzPEZgdKPgqCIISJUq1m0BVXc3zndsryq6e1PX/67RhiQ+8QE8IvVDDCSaoQ47giNpbEu+/GNHo0Je+/j89qwTR6NIZhw1GmRf+GQhCE5iXJqOaFK3tyx8eb8f+h7FuySc1j47qIMuENSVKAqmaJjCpqA4S458hOMPDlHYP5dlse3+/IJ96gYurgbNolGYjRiglFQRDCR5IkLumWyrdbc9lwqHpA59TBWbRJENluG9LpsnyEyjCpVyuY2DeTc7LieGf1QXLLHQxpl8ClvdLJMAfZACgIglAPibpEXhj5Ajd+dyNO76mNZHqlnlnDZ5GoS4xi71oeWS3ZXFDIQpZRSteo+LRnW34qtTI/rxSNTOLGjES6GLUkqsR9oyAI4dUlzcRfeqXz+ebj1Y6f2zGJge2CB+QKkSKBUhfY9BeMNkQQtFwB2cMDa+Tr34DCnZDaC/reAObWjaJsnwieEoQmxKRVct2A1pzbMYmFm49TWuFidPdUOqeYSI4RQTcNKU4TxzWdruEfa/4RtP2aTtegVoTY0S1XQFwbGPl38FSCXA0KsYAhCEJkmBKTmPiPp8jbv5d9G9ZijI+n4+ARGBMSUGnFJHhDiterSTdrOV5Wcyd4skldawZJRXwcivj+aHv2xO/1INeLRShBECJDo5QzsmMS3987nP/9eoIjJZUM75BE39axpInF04alUAU2Wez8Inh7v5vBEHphKSNWx7TB2VzVLxOlXIZaEZ6ywIIgCH+WbNLw6jW92Vtg44stJ9Cp5FzeO4OMWK3IWNTAzDolA9vE8fOBmllE1AoZHVNCl04xaZX0yDTzzBU9cHl9aJVy5KLkkiAIESCTZHRN6MrCSxfy49Ef2VG8gx5JPRiSPoRUvdgk1tC0XeKxLDkUtE3fJwmZIXQgVJpGxZWp8YxJNCOTJLRig78gCBESb1Dz9zGduG5gaz7fdByPz8dfemWQnaAnwSgybDcofSL0ug7Wzwne3vnS0M9V6SCpE1z8NHgcoNAG1s0bicbTE0EQ6sSkVWLSKumUGp46scLZG5o+lP4p/VmXt67a8cvaXUZ7c/vTv4BcDnJjhHonCIJwijE+AWN8Au37DYx2V1q05BgNr1zTm6vfWEul61TKc41Sxuxr+tSpjJJMowbEzaAgCJGlUylom2jg7vNzot0VIbED9LkBNr5T/XjWUOh4yWmfLpNJGNRi17cgCJGXaNSQaNQwqG1CtLvSopl1KmZe1o0r56yl0HYqm4tMghcn9SSpDgtLKoUMlUIsfguCEFkKmYJMYybXdr422l1p8eQmFTFjsin/38FqxxUJWowjM5HVYUzQi40agiA0gDi9mji9ml6tRHnXqFKoYPBdcGA5FO2p3nbBE2CqQyC0XBn4aWRE8JQgCMJZStQl8u9h/+Zg2UG+3P8lKrmKS9tdGqjLrhEDtyAIglBT1zQTi2cMZdnOArYcLaN7hpkLOiWRZtYiNYK0tIIgCEIjo0+Acx+F3tfB5g/BbYcekyCxIxiTo907QRAEoRFqk2hg0e2DWHughJ/2FpKVoGdsjzTSYjSolWJxWxAEQahOplGg75OCul0slZvy8VrdaLvGo8owoogRG/gEQRCEIGIyYPIXkLsFti8KZKPqcVXguCYm2r07ayJ4ShAEoR4StAkkaBM4J/WcaHdFEARBaAIUchmt4vTcMDg72l0RBEEQmgp9fOAnvU+0eyIIgiA0EemxOi7vo+PyPhnR7oogCILQBMi0ClRaBarRbaLdFUEQBKGpMKUFfjqMjnZPwkbk3xUEQRCEZujf//43kiQxY8aMWh/36aef0rFjRzQaDd26deObb75pmA4KgiAIgiAIgiAIgiAIgiAIgiAIgiA0AiJ4qg485eU4DxzA/uuvOA8cxFNeHvFz5uXlceedd9KmTRvUajWZmZmMHTuWZcuWVT1mzZo1jB49mtjY2KpF7+eeew6v1wvAggULkMvlHD9+POg52rdvz7333gvAiBEjqi2wjxgxAkmSkCQJtVpNeno6Y8eO5fPPPz/j97J8+XJGjx5NfHw8Op2Ozp07c99991X1a8WKFVXnkiSJxMRERo8ezdatW6u9zpQpUxg/fjxAtccH+3nsscfOuJ+CIAjhFI2x46QNGzYwZ84cunfvXuvj1qxZw1VXXcW0adPYvHkz48ePZ/z48Wzbtq2BeioIgiAIgiAIgiAIgiAIgiAIgiAIghBdInjqNNy5eRy/9z4OjL6EQ1dO4sDo0Ry/737cuXkRO+ehQ4fo06cPP/zwA88++yxbt25l8eLFjBw5kttvvx2AhQsXMnz4cDIyMli+fDm7du3i7rvv5l//+heTJk3C7/czbtw44uPjmTt3bo1zrFy5kn379jFt2rSQ/Zg+fTq5ubns37+fBQsW0LlzZyZNmsRNN91U5/cyZ84czj//fFJSUliwYAE7duzgtddeo7y8nFmzZlV77O7du8nNzWXJkiU4nU4uueQSXC5X0NfNzc2t+nnhhRcwmUzVjt1///117qNQfy6Pl3yLg3yLA6/XF+3uCELURWPsOMlms3HNNdfwxhtvEBsbW+tjX3zxRS666CIeeOABOnXqxBNPPEHv3r15+eWXI95PQXDYbFiLi7HbrNHuiiAIgtAEeH1+Cn6/53B5xD2HIAiCcHpWh5u8cgfFNme0uyIIgiA0EYUuN3kON5Ueb7S7IgiCIDQBdreHvHIHhVYnfr8/2t0R6kkR7Q40Zp7yck78/e9Url5d7XjlqlWcePRR0mf9B0VMTNjPe9tttyFJEuvXr0ev11cd79KlC1OnTqWiooLp06czbtw4Xn/99ar2G2+8keTkZMaNG8f8+fO58sorue6663j33Xd5+OGHq53j7bffpn///nTp0iVkP3Q6HSkpKQBkZGQwYMAAOnbsyNSpU5k4cSLnn39+re/j2LFj3HXXXdx11108//zzVcezsrIYNmwYZWVl1R6flJSE2WwmJSWFGTNmMG7cOHbt2hU0c8rJfgHExMQgSVK1Y0LDOVZSydyfD/HlryeQSxITz8lkYt9M0szaaHftrPn8PgorCylxlODz+4jTxpGoTUQhE1+ZwulFa+w46fbbb+eSSy7h/PPP51//+letj/3555+rMhCeNGrUKBYtWhSx/gmCs7KCgkMHWT3/fUqOHcWcksagideQ0rY9Gr0h2t07a96KCrzFxXjLypDp9cjj4lCcJoBREARBqJvccjsLNx3no/VHcHp8jO6awrSh2bSK05/+yY1YgcVBcYULl8dHvEFFokGNWimPdrcEQRCaPIfby/5CG88v3cPmI2UkGtXcPrIdg9rGE29QR7t7Z83h9lJodVJS4UKtkBFnUJFk1ES7W4IgCM1CvtPN0uJyXjtaSJnby7BYAzOyUsjWqlDKmm4eCk9JCd7iEnz2SuRmM/L4eOT6pn0fJQiC0Bh4vD6OlFTyyvJ9/LinEINawdQh2YzqkkKyqQlfo3vdYM2DiiKQyUGfAMZUkKRo96xBiEiAWniLi2ssfp9UuWoV3uLisC+Al5SUsHjxYmbOnFktcOoks9nMwoULKS4uDppdaezYseTk5PDxxx9z5ZVXMm3aNJ577jlWrlzJsGHDgEBWks8++6xaQFNdXX/99dx33318/vnnpw2e+vTTT3G5XDz44INB281mc9Dj5eXlzJs3DwCVSnXGfRQazrHSSv4yew0F1lM7+F74fi9fbjnBhzf2J7UJBlA5vU42F2zmryv/SrGjGACTysSjAx5laMZQ9EpxYyHULhpjx0nz5s1j06ZNbNiwoU6Pz8vLIzk5udqx5ORk8vIinyFLaJm8Xg/7Nqxl8aunrkHsVgsLZj7KuTfcTLfzRqFQNr2x31NYSOGLL1L2+ULwBbKhaHr0IH3Wf1BlZES5d4IgCE1bXrmdG97ZwK68U5kK5/58mK9+y2XR7YNpFaeLYu/Ojs/nZ2eehVs/2MSRkkoANEoZ956fw4S+mcTqm95YKAiC0Jj8erSMq99ch9cX2PldXOHizo83c+2A1jwwqgMxWmWUe3jmSmwu3l93mFeX78P5ewbGNgl6Zl/bm5xkI1ILWcwQBEGIhCKXmwd3H2VJsaXq2OcFZXxTVM7XvXPoYmx66xwArsOHOX7vvTi27wgcUCiIvfJKEm69BUVCQnQ7JwiC0MQdLKrg0ldWU+kKZCossrn4vy+2s3hbHi9O6kliU9zk4LDArq/h2wfB+fuYaEyFy9+CzHNA3vznq5puuHQD8FlrLyPjs9rCfs59+/bh9/vp2LFjyMfs2bMHgE6dOgVt79ixY9VjOnfuzIABA3j77ber2ufPn4/f72fSpEln3D+ZTEZOTg6HDh067WP37t2LyWQiNTW1Tq+dkZGBwWDAbDbz0UcfMW7cuFo/ByG6PF4f8zccrRY4ddKBogpW7SuKQq/q77jtOLcuvbUqcArA4rLwwMoHOFh+MIo9E5qKaIwdAEePHuXuu+/mww8/RKNpghdlQotQUVrCD+/MCdq28sN3qSgrbeAe1Z/P4aDozbco+2xBVeAUgOPXXzl68y24Cwuj2DtBEISmb+PhsmqBUyeVVLh4Z/VBXE2wnMbxMjuT5qytCpwCcLh9PPntLlbvb5r3UYIgCI1FodXJwwu3VgVO/dEHaw9TFGQeq7Hz+/18vyuf55fuqQqcgsD825Wvr+VEmT2KvRMEQWj6jjpc1QKnTnL4/Pxj33HK3J4o9Kp+3Pn5HLlx+qnAKQCPh9IPP6Tkgw/xud3R65wgCEITZ3W4eXbJ7qrAqT9as7+Yg0UVUehVGORvg0W3nAqcArDmwvvjoexI1LrVkETwVC1kRuNp2sNfWuZMamHW9bFTp07ls88+w/r7gv7bb7/NhAkTMJ7m/dV23hq7mfz+aguGIR9Xi59++omNGzfy7rvvkpOTw2uvvXZW/RMaRlmlm//9lhuyfcGmY9icTesC3OP1MH/XfDz+4DdDc36dQ4W7iQ54QoOJxtgBsHHjRgoKCujduzcKhQKFQsGPP/7If//7XxQKBV5vzYu4lJQU8vPzqx3Lz89vsDKoHrcXn9d3+gcKzYbdYsFlrwza5nE5qShtesFTnqIiyj7+OGiba/9+PLmhx0pBEM6M1+fH4fae0T2T0LQ5PV4WbDoWsv2brbmUVjatew6Anw8UY3UGv+f4z5LdFDbBhX1BaKzcHh8uj7jnaEksDjf7C0PP3Ww+2vTuOQqsTp5fuidoW1mlm81Hyxq2Q4LQjPl8PtxuNz6fGDtakqVFNQOnTlpVZsPaBK8l3MeO4T56NGhb6fvv4SkoaOAeCUIz5nWDR9zHtyRWh4dlu0J/j369tQlWd7GXwfIng7d5XbDl4xqxIM2RCJ6qhTw+Ht2QIUHbdEOGII+PD/s527dvjyRJ7Nq1K+RjcnJyANi5c2fQ9p07d1Y9BqjKMDV//nz27t3L6tWrmTZt2ln1z+v1snfvXrKzswMHfB5wVQSiDUsPBupfelxV/SwvLye3jouG2dnZdOjQgeuvv54bb7yRK6+88qz6KDQMmQxUitBfIWqFHLnUtL5iHF4HO0uC/7sC2Fe2D7tH7OYTaheNsQPgvPPOY+vWrWzZsqXqp2/fvlxzzTVs2bIFuVxe4zkDBw5k2bJl1Y4tXbqUgQMHRqSPJ9lKHexam8viOdtYNncneQfKsdtcET2n0DhIstrHBVmQ39PGzldZid8V+vfXffx4A/ZGEJqnSpeHPXlW/vW/Hdzy/kbm/HiAIyWV+IJklBCaF5kkoVGGHhvUCjlNsUjRr7Usch8qrsQtgssFod4KLA6W7sjn1g83cte8zfy0t1AEJrYQ8tNs5KxtXGmsXB4fueWOkO3bjpc3YG8EoXnyer0UFxezYsUKPvnkE5YtW0ZRUREeT9PLOCScOa089HyVUpJoipVRnQdDV9HwVVTid4QeVwRBqKOKQjj4Eyy4EeZPhh1fgkVspG0JJAlUtYwdOmXTWh8HwG2HouAbNgA4sRm8zX/saIJ/cw1HERND2hNP1FgE1w0ZQtq/nkARExP2c8bFxTFq1CheeeUVKipq7pIqKyvjwgsvJC4ujlmzZtVo//LLL9m7dy9XXXVV1TGj0ciECRN4++23eeedd8jJyWHo0KFn1b+5c+dSWlrK5ZdfHgicqigK/EOylwRSuJUfDfzZ4+SKK65ApVLxzDPPBH2tsrKykOe5/fbb2bZtGwsXLjyrfgqRF6dXM3lgVsj2KYOz0Kqa1oSUWq6mfWz7kO1ZMVlo5KIcmlC7aIwdEPiu79q1a7UfvV5PfHw8Xbt2BWDy5Mn87W9/q3rO3XffzeLFi5k1axa7du3iscce45dffuGOO+6ISB8BrMUOFs7axLJ3d3J4WzF71uez4JmNbFpyGEdF08scIZwZnSkGQ1zwAEKt0YTebG7YDoWBTKdDUipDtivT0hqwN4LQ/DjdXn7YWcCoF1fyzppDrNhTyL8X72L0iz+xO7/2UrlC06eUy5g8oHXI9msHtCLBoG7AHoVH1/TQ14OZcVoU8ia4OiMIjUi+xcGtH25i+nu/8P3OAhZvy+O6t9bzt89/EwFULYBZp6R/dmzQNoVMonst38GNlUouI8kYerzrnGpqwN4IQvPj9/s5fvw4s2fPZuXKlezbt4/Vq1fz6quvcvjwYZGFqgW4MCH02HBpkpk4RdNa5wBQtQ59HyVptUgasc4hCPVSUQiL/wZzx8CORbBnMcy/Dj6cAJYT0e6dEGFxehVX9EkP2T62Z+i2Rkuphbi2odtTuoG86c3BnSkRPHUaytQU0mf9hzbffE3WJ5/Q5puvSZ/1H5QRLGn0yiuv4PV66devHwsWLGDv3r3s3LmT//73vwwcOBC9Xs+cOXP44osvuOmmm/jtt984dOgQb731FlOmTOGKK65g4sSJ1V5z2rRprFmzhtdee42pU6fWqR+VlZXk5eVx7Ngx1q5dy0MPPcQtt9zCrbfeysiRIwNpCK1BImh9geOZ6Wk8//zzvPjii0ybNo0ff/yRw4cPs3r1am6++WaeeOKJkOfW6XRMnz6df/zjH6IsRyN2Xqck+rSuOSF1YedkuqY1vYkbpVzJVR2vQi4Fvxm6pfstGFSRKbkmNC/RGDvq4siRI9WyAQ4aNIiPPvqI119/nR49evDZZ5+xaNGiqmCrcPN4fGz67jCWoprR6VuWHsVa0vyj1ls6fWwcY+5+EPmfgo1kcgWX3P0g+ti4KPXs7CkSEoi54oqgbcrWrVGkpjZwjwSheSmwOrnv01/58y2Bzenhvvm/UmwTi+DNXftkA+N71gxE7ZJmYlyPdGSyphdoNKRdAroQG03uvSCHJKNYyBCE+li2s4CNh2uWZvt+ZwG/HStr+A4JDcqsU/Gv8d0w62pucHjyL91IrCUIqbFKMqm5+/zgm/1MGgW9g8zNCYJQd1arlc8++6xGlimfz8eCBQuwWsWmjeYuVaXkoeya87ZpaiUPZKega4rBU5mZKEJs6Iu9+ioUiYkN3CNBaGYKdsHWT2sez98Kv33aIsqbtWRqhZxbhrcjM05bo+3mYW1Ii2mC8zpaM4x8OHibTAG9rgVZ0xsPz5Qi2h1oChQxMRHLFBJMmzZt2LRpEzNnzuS+++4jNzeXxMRE+vTpw+zZswG44oorWL58OTNnzmTo0KE4HA7at2/PI488wowZM5D+lEd0yJAhdOjQgX379jF58uQ69eONN97gjTfeQKVSER8fT58+ffjkk0+47LLLAg9whK4Djb0MjGncdttt5OTk8J///IfLLrsMu91OVlYWY8aM4d577631/HfccQfPPfccn376aY1gMKFxSDZpePWa3mw7Xs68DUdRyiSuHdCa9snGJjkZBZBuSOe/5/6Xh1c9TLkzkPZcp9DxSP9HaGuuJeJWEP6koceOYFasWFHrnwEmTJjAhAkTGqQ/DquLXT+HTlu7d0M+iZnGBumLEB2SJJHSrgPX/+cVdv60nLx9e0nMakOX4ediSkxC1gQvvmUaDQm33oLPasXy9decjPBQd+hAxn//izIpKco9FISm7UChDacn+ITTjlwLpZVu4ptg5iGh7uINav4+pjNX9WvF+2sP43B7mdA3kx4ZZlKa4mQUkGbWMm/6AG56fyN5lkDwuEou47aRbRmeI8YNQaiPkgoX7689FLJ97ppDDGwbj04lpkSbs3ZJBv535xCW7sjnxz2FtI7TcVX/VmSYtWib4N+9JElc1CWFYyV23vjpAJ7fSxdnxGp5/bo+pMXUXLQRBKHuKisrsViCr3VUVlZSUVFBTJTn+ITIMinl3JCewMg4I3OPF1Po9nBJQgzD4oyka1TR7t5ZUaak0OqtNzl251249u0LHJTJiBk/nvgpU5Cpmub7EoRGweuGDW+Gbt/4DvSYBMbkhuuT0ODSY7V8ctNA1h0s5qtfczFrlVw3sDXZCXrMuib6HZvSDcY8D0seAXdl4JguHi5/G8ytotu3BiL5m3BaH4vFQkxMDOXl5ZhM1bPcOBwODh48SHZ2NhqRfjIyLLlgywvdntQZFGIh42w1td9hl8eHTAJFLTVeC6wOjpfa2V9YQUasltZxOlLNjW+Cx+PzUGQvoshehM/vI0GbQII2AZW8iQ521P592dKIsaP+zvZzspU6eO+Rn/H7gl96dB2ezvCrOoSrm0Ij5/f78Xo8yBWKGkHfJ3lcLirKSig8fAiXw05ym3boY2LRGBpfFkCv1YqnuBhvaRkyvR5FfByK+OAlCpsKMXYEiM8hur7bnsdN728M3X7PMHKSReBtS+Hx+fD7QKkIfc9RbHOSZ3GwK9dKglFFu0QDySZNrfcp0eD3+8m3OCm2OXF6fCQY1SQYVE06oEN8X54iPovoKbI5uXLOz+wvrAja3j87jreuPweDpun+WxPOjNPjRSmThcxU6PH6yLc42Fdgo8jmolOqiWSTulEGZ1c6PRTZnBTZXGiUMuINapJNTXvuQnxfBojPIbpOnDjB66+/HrJ92rRpZGZmNmCPhGjy+v14/H7UstD3D253OS5XIVbrNuRyPQZDR1SqROTyxved7CkqwlNcgq+yEkVcLPL4eOSNcF7tTIjvzADxOUSRxwnzJwdK9QVjTIXpy8EkKhK0FG6PD5kM5LWMHblldg4XV3KszE7bRD3psdrGmXnc4wRbfuBHpgR9IhhTmnTWqTP5vhQzBcLZ05hCBk/5VQZ8SEh+HzKpcU1SC5GhqmUBA+BYaSU3vLOBvQW2qmPJJjUfTOtP+0a24KWQKUjRp5Cij26JNUFoblQaBVnd4zm4pShoe3bveIori4nXNe2AE6FuJElCoaxZSuMkl8PBwc2/8O3L/8H7h9T53c4bxZArr0MXY26AXtad3GhEbjRCVrR7IgjNS06yEUmiRtk+gHSzFpVcosLpQa8Wt7YtgUImg1puO/ItDu6dv4XV+4qrjhnVCt694Rx6ZJobVQCVJEmkxGiabPYsQWisYrVKxnRP48Vle4O2j++Vht3tQaeSN8myn8KZU9dSasnj9bH5aBk3vLMBm/PUPceQdvHMmtiz0QUm6dQKWqkVtIrXR7srgtCs6HQ61Go1TmfNkuBKpRKDVo/X7kauDT2HITQfcklCHmKTH4DTWcT+A/8hN/dUuS5JUtG1y3PEx49ALm9cm8UVCQkoEhKi3Q1BaF4Uauh5TejgqU7jQCKQoUouxo6WoLZNfgB7861c8+Y6CqynrjVykg28PeUcMmJ1ke7emVGoA1mmWkimqT9rPDOHQpPz5DPPYcgZgqH94Bo/F19zG/sthyioLMDtc0e7q0KUlVW6ePCz36oFTgHkW5xMnbuB/N9LVQiC0LyptAoGXNoWpbrm5HVKjpFNzrVct/g6NuZvxOmtOWEltCzW4kL+9+LT1QKnALYuW8LBzb9EqVeCIDS0eIOKW4fXLJ0sSXDvBTnc8fFm/vr5VnLL7VHondCYuDw+Xluxv1rgFIDV6eG6t9eTWy7uOQShJZDLZUzom0GyqWbWoDYJemK0Kkb/dxXfbsvD6hDzVS1drsXB5LfWVwucAli1r5g3Vh7A5fFGqWeCIDQko9HI6NGjg7adN3gkrm+OU/LBTjzF4p5DgOLi5dUCpwD8fhdbt92Fw3EiSr0SBKHBZZwDyd1qHtfFQ84omD0Y1r8BFcU1HyO0KPnlDm54d0O1wCmAPfk2/rrgN8orXVHqmRCM2J4rnLVbbrudiROuAKcN7MXg8+JT6vDoYimXKnH73BTbi/H5fSTrkpE34XRuf+T2uXF5XVS4K1DIFOiVepSSElktqfhaupIKF2v2B79AOFpip8DiaJDdfG6vG4UsdHkoQRAiz5ysY+LD57Dpu8Mc3lqMSqug1SADnqwyHtjwGE6vkxuX3Mhn4z6jrbnmYnmT5HWB5QQcWg1lh6HVQEjsKNL2nsb2H5cFTzUDrFv0KVk9+6A3x0a0D36vF7/fj0whLpkFIVqMGiXTh2bTM9PMSz/sI7fcTudUE9cNbM3CzcfZdtzCtuMWCqwOXr26d6MssXM2SiqcHC9zsGJXARqVnJEdkkgyqjGJ3e4hFVodfLzhSNC2SpeXbcfLyYyL/G4+l8eHQiaJjDaCEEUZsToW3DqI938+zBdbTqCQS1zcNZX+beJ48LPfKKlwcftHm/hoen8GtW0emRj8fj8nyuz8erSMXXlWuqTH0C09hjRz48p+0dj8erQMuzt4gNSH645ww+Bs0mMj+xn6fH48Pv9pM7oLghA5crmcDh06cMMNN7B8+XIKCwuJi41j2DmDiTkmw7UjH4DCN7eSeEsPFDHN457DbrdjtVrZu3cvXq+X9u3bExMTg07XyDJgNCJOZyGHDs8O0eojL+8L2ra9N+L98Ht9IElI4p5DEKLHlArXzIffPoWN74DHAe0vhM6XwrcPQGUxLPlbIItPnxuguawhW05A/g44th7i2gTWOkzpIBfz56HkWx0cKw0egL1qXzHFFS5idKrIdsLvD2RCU0T4PM2A+E0WzlpcXBxxcXEAeD1OKtw2KjwOylwWTP5Tk/pljjIStAnIiWzwlN/rxe/x4LNY8Ls9yIwGJI0GWS0lgc6U2+vmqPUodk/1L7kMYwZGpVEEUIVQ6ap9p15ZZeR2e3p8HnIrcllycAmbCzfT3tye8e3Gk6pPRa1oHje6gtCUyGQS5mQdgye0JXaIh92lu3jl+AK2r91e9RiP38M7297h0QGPRv7fqTUfivfCrq9BEwOdx4MpLVCaNhw8bjjyM3w0IVAr+qT4tnDdohab+vR0fD4fZXm5IdttpSX4vJHbBe4pLcV18CCl8z7BZ7MRM24c2l49USYnR+ycgiCEFqtXc2GXFDqlmFi5t5B9hTbu//Q3yu2nriHXHSih0OqMePCU2+Mjt9wR6EeBjb5ZsfRqFUt6GBenC61O/u+LbXy77VSJ9Jlf7+T+C3O4bmAWMSKAKiiX14/D7QvZfqwsspkCjpfaWbGngGU7C0gza7i6f2syY7UYNeLvSxCiISNWx/2jcriwSwpbjpayfFchb646UC02/6lvdjF3aj/i9JGdQC6pcHK0xM43W3ORySRGd00hI1ZHbBjPuyvPyqTX11YbG+P1KubdNID2ycawnae5OR5iEQPA7vbi9oYeV+rLandztLSSD9YeIc/i4ILOyQxrn0B6YyvbIQgthEajoXXr1kwcfwW2/cVQ5ML7dQkuy6lsEN5SJ+78iogHT/n9fsrLyzly5AjHjh0jOTmZNm3aYDKZkMvDs8ZSWVnJmjVrWLVqVdWxH374gR49enDBBRdgMBjCcp7mxu/34nTmh2yvtB/C7/dHbPO2p9yJ67CFys0FSBoFhgGpKBK0yPXinkMQosKUBoPuhPbnBTZOH14NH00E3x+ymq54EnIugpj0yPbFXgaW47Dji0DSk05jIL4dGJLCd46Sg/DeOCj7w8Y1pTawzpHeVwRQhVBaUXtmKUeIzRxh4bZD+VHY/AEU7oLMgdBlfGBdqpkkvQk38VsshIXD7+FoRV7QNj9+vP7Iprn2+3x4rVbcx46dOlhSjKRSo8pqjUxV/wkpn99HsaO4RuAUwDHrMdrFtkONCMYJJkarRK2Q4fQEn3SK5E7IXSW7mLpkatXf28pjK3l3+7u8fO7LDEgbgEImvgYFIRockp1ndzzF1qKtQdt/K/oNm9sW2eApSy58ej0cXXfq2Iqn4IInoPf1oI2p/zlsufDxpOqBUwDF+2HJwzD+NVCLCak/k8lkZPXozd51q4O2p7Rtj1ITmYyFntJSCl/8L2Xz5lUds/3wA6r27Wn1xusoU1Iicl5BEE7P5vLwyKJtIduPlFTSMTVMwa9BeLw+Nh8t5bq31ldd17675hAJBhWf3DSQtknh+T7/cXdBtcCpk/7z3R6G5STSPcMclvM0NzqlnNQYTcjyfD0ywjCuh3CwqIKJr/1Moe3UeP/B2iM8cWkX/tI7A71a3HMIQjQo5XI+WneYBZuOB23fkWvBGcmJaqDI6uSJ/+3gi19PlfGZvWI/V56TyYOjOoQl6Dff4mD6e79UC5wCKK5wceuHm/h4+gASjWK+KpgemeaQbWkxGrTKyCwo2JweFmw+xmNf7qg69sOuAhKNaj69eSBZCfqInFcQhNNTeeW4Pg2ezRTAfcSKNicuon0oLCzknXfewW4/tQ6hVCqZPHky6enpYdnAXVhYWC1w6qRff/2VDh060Llz53qfozmSy7WYTD0oK1sXtD0+bmjkAqfKHBS9tQ1P4anfC/vmAvSDUjGd1wp5hIPBBUEIQSaDwz/Dtw8Gb68oAndFZPtgL4V1cwJrGyetfQWyhsLlb4IxDPPZ9jL46u7qgVMQCM75aCLcshrMmfU/TzNU2+YItUIWuU13Hjcc+BE+uRp8v9/37lkCPz0LU76BtJ6ROW8TJ9LkCGEhl2qfTJBF+FfN73ZXD5w6edzlxFNQiN9X/51iXp+XUkdpyHaby1bvczRXiUY104ZkB227sHMy8YbIXNgXVhby0MqHagS8ef1eHlz5IIWVhRE5ryAIp6eRa0g3hN5tkaZPQy2P4AS/1wub368eOHXS0kfBUnNMOSv528FdGbxt19eBmychqKzuvdAagwRBSBJDr7oejT4yQWeuw0eqBU5VHd+7l7JPP8UfwYxXgiDUTquUU1tVgqQILwwXWJ3c+N4vNTYEFNlc3DN/CyWn2UlWF0U2J6//dCBk+3s/H8YThnub5ijJpOahizoGbWufbCArPjIL0VaHmyf+t71a4NRJ//fldgqtNY8LgtBw2iWGvmZMjdEgl0e23M3GI6XVAqdO+mTDUbafsITlHMU2V8gyEPsKbGEZn5qrNgl62ob4HXno4o4kx0Rmw0ah1cE/v9oR5LiTp77dhc0ZuQztgiCchlxC0oRe65AnRLaUp81m47PPPqsWOAXgdruZN28eVqu13udwu938/PPPIdtXr15d4/xCgFIZQ7u2DwA1rx9Uynhi4wZF5Lx+r4+KtbnVAqdOqliTi7dE3HMIQlTVVl1CqQVFZK4pq5Qerh44ddKhn2Db51RLv3u2Kovh4I/B2xzlUHqw/udophIMKs7vFDwD2PSh2SSZIjSfacuDBdNOBU6d5KqAz6eDrSAy523iRPCUEBZymTzkIrdeqUce4dRvvorQUbve8jL8Hk/I9rry48fnD71Q4fHV/xzNlUYpZ+qQbO65IAfD77uu1QoZ1/ZvxRPju2KOUC3XMmcZR6zBdwpZ3VbyKoNnSxMEIfLUCjVTukwJ2T6923QMqghmZKoogPWvh27f8nGYzlNLkKbfB14xuRGKKTGJSf98moxOXauOxSQlc/nf/kl8ZuuInNPv91P26fyQ7WXzP8VTJALeBCFa4g0qLugcvHxmRqyWlAhmMwU4VlqJxR78mv+3Y+VhWZz2eP2U1lLSusjqxOMNw6RXMyRJEiM6JPL05d2I/33XtUyCi7qk8O6Uc0gyRWaysrTSzfLdwcd7vx/WHiiOyHkFQaibi7qloggReXvHyHYkGSO3kGGxu3ljZeiA2Dd+OkCFs/5zSXZ37a8R0TIQTVySScN7U89hVJeUqgDtBIOKZ6/ozvCcxIidd/W+4pBrWEt35FFaIYKnBCFa5EYVhsFpQdskpQx1q8hluoVAOb2CguCLmRUVFdhs9d/A7fV6qawMsdEPsNvteMXGsZD0+hx69HgLjSaj6pjZ3J/eveeh1USmLJfX5qZiQ+hygRW/iHUOQYiqpM6gMQdv6zU5vKXz/szvh43vhm5f9xrYQn9/1NmfK2v8WWXo5CMtnVmnYuZl3bimfytU8kBojkGt4L4LcpgyOBu1IkIxFGVHIFTil6I9gYA4oQaRO14IC6VMSaYpkyOWI7i8pxYNNAoNaYa0iJdGqzULhN8flqhamSRDo9Dg8AQvA2FQirJLtUkwqLltRBsu752O3eVFo5STaFSjiVAKdOC05SL/+LsqCELDa21qzT8G/oOZ62ZWBaDKJTkzes+gfWz7yJ7c7wNnLTu9K8IUdZ/aM3SbKQ3UxvCcp5mKS8/k0vsfwW614vN6UOsNGGIjmB7f78dXGXp3pc/hABGzIAhRY9Qo+cfYLhRYnWw+UlZ1PC1Gw7s3nENKhIJjTrKdZoHbFaJE9ZkwaRQMahvPF1tqZikBuKBLckSvn5s6s07FhD6ZDGufiM3pQa2QEW9QoVdHKAU64PP5a73dtIugBUGIqrQYDW9d35dbP9xEpevUv8dr+7fi/BABueHi9vqwOEIHwZTb3bi99R87Egxq5DIJr6/ml5FaISNOlPGpVXqsjlkTu1Ns64jL48OgUZBs1CCrLd1lPdldoccGnx984cgOIAjCWZHkMgwD0vAU2LFvPbV5StIqSJjSBXlMZLPdni5oyeWq/3y2SqUiJyeHI0eCbzpu06YNGk2Es6Q0YQqFnoT44Rj7fIrHY0GSFCiVsSiVkSsTDuB3h75m8DnFPYcgRJUpHSZ/AR9eXr3SRLsLYMg9kc085ffWvoHbUR5YC6kvjQl0cVBZErw9sUP9z9GMJZs0PDqmM7cMb4vD7UWnUpBkUqOURzDP0ekC3v6ckUoARPCUEEZquZosUxZunxu3z41KrkIpU0Y8cApApg9dgkGm1iDJ677A4PV58fg9OH//UtEoNCgkBQqZghR9CofKD9V4jkahQSUXk1Gno5TLyailtmu4mdVmzGozZc6yGm0KmaLWkmGCIESeQWXgkuxLGJA6gP3l+/H7/bQztyNOE4dOGeHvCrURskfA3iXB27uMP7PXs+ZB+TEoOQCxWRCTCabUQIBU2/Ng/7Kazxn1JBhTz+w8LZDGYERjaJggM0kmI+bSS7F++23QdsP55yM3R3YyTBCE2qWZtbw5uS95FgeHiytJNmlIN2tJiVBZnT/KTjAgScH3ZZh1Ssy6ugfoONxeCq1OdudZcXp8dE4zkWBQYdQoufPcdizellejPGCSUc2InAjuVmwmZDKJ1AhnIfsjk1ZBlzRTyPJbA9vEN1hfBEGoSa2UM7BtPN/dM4yDRRVUOL3kJBtIMKgxaSMXWAlg0iq5oFMye/KD7/a9qEsKRk3d+1Bsc5JvcbC3wEaSUUNWvI6UGA0JBjVTBmXx1qqapTJuGd6WxAiXtW0ODGolhggG2v7ZoHahx4buGTFn9HshCEL4yY0qzJe1w3R+a9wFlch0ChTxGuQmNVIEAysBtFotKpUqaJCUJEnExNR9TsLj9ZFvcbK/0EaZ3U3HFCOJBjWxehVdu3ZlzZo1NTJQqVQqBg4ciEIhlg5PR61OQq1umPszmUaOpnMc9i3BAyR0vcV9oiBElUwGqT3gppVQdjgQQBXfDgzJoI/wnIBMAV0ug13/C97e9lxQn8F8tr00UM4tfxtoYiAhBwwpgXWM8/8JX95Z8zmdx0c2u1YzoVHKyYxruDVy4rJBJg8eJKVPBG1sw/WlCRFXQC2U1+fH4/NV7Y5WKWQoZbJ676pSypUo5Q1/gy9TqpDp9UHL9ynSUpHqeLHv8XkocZRQWHnqIlRCIsWQQowqBo1cQ1ZMFrkVuTg9TiRJIlYdS4I2ISrvW6hdojaRR/o/wgMrH6jRdluP24jTRjB7iSA0sMcee4x//vOf1Y516NCBXbt2hXzOp59+yqOPPsqhQ4do3749Tz/9NKNHjw75eK/Hg8/rxVlZgdftpqK8FI2mfsE/WqWWDGUGGcaM0z84nDQmOP8fcGA5/DkLXUJO7Rmj/qzkIHw0AYr2njoW1wauXRD47/hXYd0c2PAGOK0Q3xYunAmtBoEU2Uk34cxpOndC07Urjm3bqh2XGY0k3nwzMrH7UhDqzOX1UmBxcri4ErvLS7skA/G/BwjVR7xBTbxBTZe0hg1mjDeouKpfKz5aV3OH9t8u7khyHRenK5wevtuex4MLfsP9ewk+SYKbh7XhpmFtaB2n5/PbBvH4VztYd7AEuUzi4q4pPDCqA+mxDRcUJNRNnF7NE5d2ZeKcn/H8KevL+J5pJDdAYJ8gNCelFS6KbE4OFFUQp1ORHqslxVS/LEAqRWAjV0Nu5gJQymVc2a8VH6w7Qrm9egaqeL2KcT3SkNfxfeWW27n74y2sP3Rqp3ecXsV7U/vRJc3ErSPakhGr5ZXl+yiyuUgyqplxfg4XdRUZCxuj1BgtY7un8tVvudWOK+UST1zaVWQLE4Qz4Pf5sZU7sRY5cFS4MSfr0JlUaPT1u+eQ65TIdUqUyQ07dhiNRs4991wWL15co61///7oa9lE/kcur5eNh8q4ce4GKv6Q7W50txT+Oa4LiWYz06ZNY+nSpezevRu/30+bNm246KKLMJvN4Xo7QpjI1ApM57XCsbME/5+yTClbGVCm1O33QhCEAKvDTZHNxb4CGzqVnNbxOpKMalT1KZ8mSRCTHvhpaK0GQmw2lP5pM4VCAyP+Cuo6fkfYCuC7R+G3eaeOKXVw5YeQNRg6jg1sSv/+MSg9FChVOOBW6HNDICuV0LjoE2H4X2H5zJptl8wSG/tDiGAuMKE+8vLyuPPOO2nTpg1qtZrMzEzGjh3LsmWnMlesWbOG0aNHExsbi0ajoVu3bjz33HNVqV0XLFiAXC7n+PHj1V7b4/NRWukip30Ot905g4NFFQwZOpzb7rwLry8QTDVixAgkSUKSJNRqNenp6YwdO5bPP//8jN6HJEksWrSoxvEpU6Ywfvz4M3rPkyZN4qKLLqr2nMWLFyNJEv+c+S+UGRkoEhORZHL+9eqr5Fx4Iars7FoXOQ8dOoQkSVWfk8PjqAqcKswrpEdKD7okduGXHb/g8rk4euQoBpWBsgNltI9tj6JMQZoxje1btwd9/Xfffbfqc5TL5cTGxtK/f38ef/xxysvLz+CTFM6GXCZnSPoQ3rv4Pc5JOYcYdQyd4zvz8rkvM6HDBHSKhr35FVoWR4Wb0rwK8g+WU5pXgaMidLmGcOnSpQu5ublVP6tWrQr52DVr1nDVVVcxbdo0Nm/ezPjx4xk/fjzb/hQwcpLX7aYsL5fiY0ewFBVSUVbKty89R2nu8aCPbxIS2sP0HwIZqCBwI9DvFrhuYSBjVF1UFMOCqdUDpyCQgeqTawM3HMYUGPkw3LYW7toCU76FDheDVmQwaoyUSUlkvPIySQ/cjzI9HXlcHOYJE8j+7FOUrTKj3T1BaDIcbi8/7SnigudWcs2b67jxvV8YOWsFL/2wj2LbadJGN1ImjZJ7L8jhn+O6kPR7oFTbRD1vTu7LRV1Tkdcx1fbRkkrumf9rVeAUBLJZvfbjAX45VIpSIaNLWgyvX9eHnx4cyY8PjODpy7vTOl5MiDdWXdJM/O/OIYzqkkKsTkm7JAP/mdCdRy7pTKxOLIALQl0VWBw8tOA3Lnh+JTe/v5EJc35m7Eur2H6iHF+QknRNQWaslkW3D+aSbqnIZRIKmcSlPdNYcNsgMuq467jS5eG57/ZUC5wCKKlwce1b68gtd5BgUHP9wCy+unMIKx8YyZd3DOGqfpnE6UXWqcYoTq/i/8Z24dkrutM20UCsTslFXVL4351D6JQqSrsLQl35fH4KjliZ/68NLJy1iW9f28rH/1zHig92UVHeNO855HI53bt3Z8KECcTFBRaiTSYTY8eOZejQoajVdftezyt3MuWd9dUCpwC+2ZrHJxuO4vX6iI+P57LLLuPuu+/m7rvvZsKECSQlJSE/gyoeQsNRxGtJurMXur7JyPRK5LFqYi7JJuGazihMYrwXhLoqtjl5fukezp21gunv/cI1b65j1PMrWbO/GIe7iZYxi0mH67+CvtMCAVOSBO3OD6x9xLWt22v4fLD1s+qBUwDuSvh4IliOgy42kOVq6pLAOseta2Do/WCMbDl04SypDXDOjXDVvECyAG0sZA2FaUsD1VJkIkwoGJF5qg4cFW7sVhcuuweVVoHWWP+dC7U5dOgQgwcPxmw28+yzz9KtWzfcbjdLlizh9ttvZ9euXSxcuJCJEydyww03sHz5csxmM99//z0PPvggP//8M/Pnz2fcuHHEx8czd+5cHn744arXd7p9fLX4e44cOsBlk66tOm5zenC6fejUgX8s06dP5/HHH8fj8XDs2DEWLlzIpEmTmDJlCq+//nqDv+eRI0dy//334/F4qtLGLl++nMzMTFasWMFjjz2GlJSEPC6OVdu2ce555yGv406M9PR03p37LlfffnXVsS8++YKk1CRyjwV2gZXYS/D9XhdWIVOgkqvqVKrPZDJV7d4oKytjzZo1PPXUU7zzzjusXr2atLQ6LtALZ8WgMtArqRcvjHgBu8eOWq7GrDFHu1tCM2crcfDD+7s4uvPU5HZmpzjOva4jhrjIZR9QKBSkpKTU6bEvvvgiF110EQ88EMjM9sQTT7B06VJefvllXnvttWqP9Xm9lBcV4HY6qh23Fhey8OnHmfiPpzDENsGdBXIVpHSDiXPBZQMk0CeA4gwmHCoK4fim4G352wMpeg1JIFdCTANn1xLOmjI5mbgbbiBm3Dj8Ph/ymBiRcUoQztDxUjs3vb8Rr696gNDrKw/QLT2GsT2a5jVwgkHN5IGtuahrCh6vH7VSRoKh7uOG1+vj/bWHQ7a/vHwf52TFEatXEaML/AiNn1opp2OqiVkTu2NzeFDIZCSIMlmCcEZcHi9vrjrIdzvyqx0vrnBxzZvr+PbuoaQ3cOaocJAkiewEPc9c0Z1HLukEgFmrRKeu+5Rskc3Foi3BN62UVbrZX2gjzawNlC2NERkKm4pEo5oJfTMZ2SEJj8+HQa3AIMr1CcIZsZU6+OKFzbgd1Re7928uxJyi45wx2XXe4NCY6HQ6unTpQqtWrfB6vcjlcgwGA9IZZC9fs6+oRhnwk95cdZDL+2SQGqNFrVbXOSBLiC5JJqFM0GK+tC2+C1ojySRkemXES0kKQnPz455C3l59qNqxCpeXG+f+wnf3DKNNoiE6HasvcyZc9CQMvQ/wBzJEac5g83ZFPqx+Pnib1w17lgSyTEFgs7jQNOjiAhv5M/uBxxlIIKA1R7tXjZoInjqNaCyA33bbbUiSxPr166ulYe3SpQtTp06loqKC6dOnM27cuGpBTDfeeCPJycmMGzeO+fPnc+WVV3Ldddfx7rvvVgVPeX1+Cq1OFn3yId169aVdh07Vzl1oc5L5ezpvnU5XtQifkZHBgAED6NixI1OnTmXixImcf/75DfaeAUaOHInNZuOXX35hwIABAKxYsYK//vWv3HfffTgcDjQaDU6vl3Xr13PD78+ri+uvv553332XCbdOqDq26ONFXHrlpbw2KxBE4PK58PvPfKejJElVn2NqaiqdOnVi7NixdOnShQcffJAPPvjgjF9TCOws8ji9yJUy5IrT3wSb1CZMalMD9Exo6RwV7hrjBsDRnSX88P4uLryxS8QCcPfu3UtaWhoajYaBAwfy1FNP0apVq6CP/fnnn7n33nurHRs1alTQbIE+rxdXZWXQ1ynNPU5lWVnTDJ46SWs++wtGd81ysdW4bGf3ukJEeNxufB4PSo3mtJOOkkyGIjGxgXomCM3Pws3HqgVO/dF/l+1lYNv4Mwo6akwkSSLZdHb3gi6fj6MlwcdUgLxyBy5v8EUOoeH5/X4qXB6UMhnqOpS9MqiVGNRi4VsQzkah1cUHIYJLLQ4PO3ItTTJ46iS9WoH+DAKm/sjl8VbLVvhnueWOkG1Cw3N5fLi8XrRKRZ3KMopgW0E4e4WHrTUCp076bfkxugxNxxjBTYyRZjSefSa6Q8Wh56vKKt14ahlXhIbncrkAUKlOv3lGppQjixHZwQThbBRanbz0w76gbR6fn//9doK7zstp4F6FkUJz9mUDfd5AFY1QioN/bkKUeD3gsQf+zuV1mIfSxUe+T81E0wu7b0CnWwCPRAmmkpISFi9ezO233x60frXZbOa7776juLiY+++/v0b72LFjycnJ4eOPPwZg2rRp7N27l5UrVwKByd9Si4Wl33xZLevUSS6PD18tAULXX389sbGxZ1y+rzZ1ec8AOTk5pKWlsXz5cgCsViubNm1iwoQJZGVl8fPPPwOBUlROp5ORI0fWuQ/jxo2jrLSMbRsC5ao2rd2EpdzC8FHDqx6jV+qRSeH5J5OUlMQ111zDl19+WVVmUagbv89PeaGdjd8e4uvZv/HD+7soOGzBWRn5kmiCUBd2q6vGuHHS0Z0l2K2uiJy3f//+vPvuuyxevJjZs2dz8OBBhg4ditVqDfr4vLw8kpOrp1NNTk4mLy+vxmP9/toXce3WFlyGVBsLshATFpIkLkobCbvVwvFdO/j25f+w6NnH2fTtl5QX1nIzKAhCvfh8fvYWhJ6szy134G6hAUIahZyBbUKPDT0yY9CrxUR4Y3C81M77aw8zfe5G7pq3mbX7iympaJrlXwShKXB6vFS6Qs+PHC4OHXja3OlUCsy60BPiHZJFmbfGwOZws+NEOY8s2sq0d3/hhe/3cKioAk8LveYRhIZQVmAP2eZ2ePGGyLzUEpyTFXqTY5sEPZo6bAwQIs9isbB161bmzZvH/Pnz2b17d8i5XEEQ6s/j83GiLPTYsSe/BW+EVqghuWvo9qyhDdcXITSPEwr3wNJH4aMrYfHfoGAXuEP/XgtnRgRP1SIaC+D79u3D7/fTsWPHkI/Zs2cPAJ06dQra3rFjx6rHdO7cmQEDBvD2228DIJNJLPt6EX6/n4vG/aXGc3UqObJadkXJZDJycnI4dOhQXd8SV111FQaDodrPhx9+WNVel/d80siRI1mxYgUAP/30Ezk5OSQmJjJs2LCq4ytWrCA7O5vWrVvXuY9KpZJrr72WLz76AgmJzz/6nDFXjEGpCExOySQZMeqYM0qNezodO3bEarVSXFwcttdsCUpyK5g/cz3rvzrIiT1l7FmXx6dP/cKe9Xm4HJ5od08QcNlr/z08XfvZuvjii5kwYQLdu3dn1KhRfPPNN5SVlTF//vx6v7Ykk9f6/WeIT6j3OZosfRL0vC54W9cJoBeZi6LNYbOy4avPmfePB9mzdjVHt29lxdw3+OiReynNOxHt7glCsySTSQxqGzpAqHOaEW0LnayXJIlLeqRhDJJ9RCbBjPNyROaiRuBoSSVXvLaG//tiOz8fKGbJ9nwmvbGW55bupbQiMoHwgtDSaVVyEmvJSNg1/QxKTjQzyUY1d5/XPmhbt3QTaWZRqi/a7G4v327LY/R/V/HpL8dYd7CEl37Yx8Uv/sTOPLEILgiRktQ6dPCo3qxGoWq5y1+d00ykhxgf/ja6E4ki613UWSwWPvroIxYsWMCBAwfYt28fH3/8MYsWLRIBVIIQIRqFnM5poSvUDG7bktc5EuHCJ4K3GVMgo2/D9keoyeeDo+tg9kBY+yocXg0b3oDXBsHBnwLZqIR6a7lXj3UQjQXwMykLV9fHTp06lc8++wyr1YpMkvh83gdcOOZS9IaaNxfxBjWy0wQI+f3+Mwoiev7559myZUu1n3Hjxp3x+wAYMWIEq1evxu12s2LFCkaMGAHA8OHDqwVPnUnWqZOmTp3K5ws+R2PXsPSrpVx29WVVbRnGDFSy06dMPRMn33c4A7KaO4fNzfIPd+EKko75p0/2RiyjjyCcCZW29lIMp2sPF7PZTE5ODvv2BU+nmpKSQn5+frVj+fn5VWVG/0gml6M1BV+syOrRB12IthZBbYBzH4aBd4Dy90kphRr63Ry42dCIcqHRZispYcMXn9U4Xllexup57+NyiDInghAJ53ZMwhRizHtwVEfMuvBeWzclGWYt828ZSNf0U2NEqzgd70/rT5skQxR7JgA43F5eXb4vaBmsD9Ye5ngtu1QFQTh7yUYN914YvERGdoKe7ISamcpbCrlcxqU90/j7JZ2qxlaZBKO7pTDnur5iAbwRKLI6eXjh1hrH7W4vD3z6K8U2kblQECIhNlWPKSF4Wb7+l7ZBH9Nyvx9TY7R8NL0/Q9ufCgRINKh5/sqe9MuOjWLPBAisDe3cuTNoBYD9+/dz4oTY7CcIkRCrV/HQRcETeZh1SobmtODgKYD0vjBhbiBY6qSsITDlG4jJiF6/hABbHiy4EXx/ik/xeWHhTYF2od4aZgW3iYrGAnj79u2RJIldu3aFfExOTmAyaefOnQwaNKhG+86dO+ncuXPVnydNmsQ999zD/PnzGTZsGD+vWcOS72eiUshw/Z66VpIkYrRKVIra4+m8Xi979+7lnHPOqfN7SklJoV27dtWOGY1GysrKgLq955NGjhxJRUUFGzZsYPny5TzwwANAIHhq6tSplJSUsG7dOm6++eY69++kbt260bFjR6ZNnkanTp24eODF/LrlVwA0Ck3Yg5x27tyJyWQiPl6UdKorR4Wb/AOWoG1+PxQcshKTqGvgXglCdVqjisxOcUEzF2Z2ikNrbJjFYpvNxv79+7nuuuBZkQYOHMiyZcuYMWNG1bGlS5cycODAGo+VyWTozbFIQKXlVIm+Nn36MegvE9EaW3iAkCEZznsU+t0E7kpQ6gLHlMEn8ISGtX/jupBte9atZti1N6DSiL8rQQi3jFgtn948kHvn/8r2E4HrtySjmifGd6VjSssuLySTSXRKNfHe1H6UVrrx+fzEaJUkmcR3UWNQWuni883HQ7Z/9euJFp0BRxAiRSaTGNUlGbvLywvf78Hye2bpoe0TePKybiS38O/IOL2aKYOyuLhrKhVOD2qljHi9CoNGZCtsDPYVWHF7g28O3ZVnpbTSTXwtmdUEQTg7BrOaS2f04of3d3J8dxkQWLPpPy6b7G4JLX7Tcut4Pa9c3ZuSChcurw+jRkGyUVNr5RGhYVRWVrJx48aQ7evXryc7OxuVquVuOhKESOmSZmL2Nb35vy+3U2gNBLh3TTfx3MSeITP2tRgaE3S+FDL7gaMc5CrQxYPWHO2eCQAVRWDLD95mL4WKQhHkFgYieKoW0VgAj4uLY9SoUbzyyivcdddd6PXVd9aVlZVx4YUXEhcXx6xZs2oET3355Zfs3buXJ544lVrPaDQyYcIE3n77bfbv309OTg4XnjcCt9eH1xe4sdcq5SjlstNmnZo7dy6lpaVcfvnlYXrHdXvPZrMZgLZt25KZmcmXX37Jli1bGD58OADp6emkp6cza9YsXC7XWWWegkD2qdtuu43Zs2ejVqhRKSJzcVpQUMBHH33E+PHjkclEAri6Ol2WspZcx15oPDR6Jede15Ef3t9VbfzI7BTHuZM7otFHZnL7/vvvZ+zYsbRu3ZoTJ07wj3/8A7lczlVXXQXA5MmTSU9P56mnngLg7rvvZvjw4cyaNYtLLrmEefPm8csvv/D6668HfX25QoEhLh5tjBm73Y7F5aHThKsxxpgj8n6aHIUGYuteLlZoOF6PO2Sb3+8/owyYgiDUnSRJdEg5FSDk8fkwa5Ukm8K/KaGpitOridOLhdRGx0/VfXIwLnHPIQgRE6dXc93A1ozqmoLF7kajlBGvV2PSigAhAIVcRnpsC1/QaaRCBU6d5BP3HIIQMaYELRfd1A2HzY3H7UOtU6CLUSGXizl3AJNWKcbRRsjv9+Pzhb6v8Hq9Yr5KECLEqFEyqksKPVuZKat0o5LLiNUrxfzMSZIEprTAj9C4+E8zH+WrWbVJOHMieKoW0VoAf+WVVxg8eDD9+vXj8ccfp3v37ng8HpYuXcrs2bPZuXMnc+bMYdKkSdx0003ccccdmEwmli1bxgMPPMAVV1zBxIkTq73mtGnTGDp0KDt37uShhx4CQCmXoZQH2oOtX1RWVpKXl4fH4+HYsWMsXLiQ559/nltvvfWsg5Pq855PGjlyJK+++irt2rUjOTm56vjw4cN56aWXyMnJIS3t7L7Up0+fzoQJE6qCtepq9+7dNY516dIFCFwI5+Xl4ff7KSsr4+eff+bJJ58kJiaGf//732fVz5ZKrVMSl6an5ERF0Pbk7Bae/UZoNAxxGi68sQt2qwuX3YNKq0BrVEVs3AA4duwYV111FcXFxSQmJjJkyBDWrl1LYmIiAEeOHKkWrDlo0CA++ugj/v73v/Pwww/Tvn17Fi1aRNeuXUOeQ5LJUMhkKL1eZHI5KnXL3v0tNA1t+vTn588+DtqW1b0Xar0okSUIkRRvUItMC0KTYtIqubBLMt9sDZ7ufEwPMYEoCJGklMtIN2vFrm+hSemQYkQmQbDY21ZxOswicEEQIkqjV0Z0zk0Qwk2n09GtWzeWL18etL13796o1eI+WhAiRSaTSI3Rkhoj7jmEJkQXDxozOMpqtqn0YEhq6B41SyJ46jSisQDepk0bNm3axMyZM7nvvvvIzc0lMTGRPn36MHv2bACuuOIKli9fzsyZMxk6dCgOh4P27dvzyCOPMGPGjBq7uYcMGUKHDh3Yt28fkydPrlM/3njjDd544w1UKhXx8fH06dOHTz75hMsuuywq7/mkkSNH8t577zFixIhqx4cPH84777zD1Vdffdb9UCgUJCSceU3bSZMm1Th29OhRACwWC6mpqUiShMlkokOHDlx//fXcfffdmEwi2OdM6EwqRl7bkYWzNuH7066+nhdkojOJNLZC49HQEzfz5s2rtX3FihU1jk2YMIEJEyZEqEeC0DiYEhLpMHAou3/+qdpxpVrD8OumodHpQzxTEARBaIn0agX3X9iBn/YUYXV6qrWd2zGJ1vGiTLggCIJQXbxBzd3ntef57/dWOy6XSTx9eTdRmlcQBEGoRiaT0bNnTzZt2kR5eXm1tqSkJLKysqLTMUEQBKHxMqbCmOfhsxtqtl30NBhSGr5PzZDkb8K5Hy0WCzExMZSXl9cIQnE4HBw8eJDs7Gw0GnGDKjQ94nc4OK/bS3mhg43fHiL3QDn6GBV9LsoiOdsUkVKazUVt35ctjRg76k98TkJTU1FWytHtW9nw1QIcNhtZPXrTd8x4YpJSkMnl0e5eoyXGjgDxOQhCy+Pz+TlaWsk7qw+xbFc+RrWSaUOyGdo+QSyA10J8X54iPgtBaHlKK1xsPV7Oy8v3cqLMQY8MM3ec247sBD0apbjnCEV8XwaIz0EQWqaysjK2bNnCb7/9hkwmo0+fPnTp0kV8D5yG+M4MEJ+DILRAThsU7oIfnw78N64djHgIkjqBJibavWu0zuT7UmSeEgShSZEr5cSl6RlxbQdcDi9yhUykZRYEQRBqpTfH0nHwMFp374nX40GjN6BQiYBbQRAEITiZTKJ1vJ6HR3fk9pHtkMsk4vRi3BAEQRBCi9WrGJaTSI9MM063F4NagU4tpt4FQRCE0MxmM0OHDqVv374A6PX6GlVlBEEQBKGK2gAZfeGKt8FVAUodaETwZDjJot2B5s7v8+FzufDZHficTvxeb7S7FDZPPvkkBoMh6M/FF18c7e4BcMstt4Ts4y233BLt7gn1oFQr0MeoReCU0Cx5vD4cbi92lxeXx0cTThIpCI2K1mjCEBsnAqeE5sfrhrIjkLcNiveDvSzaPRKEZkGlkJNoVIvAKaFZKqt0caDQxo4TFo6X2fF4fdHukiA0CzFaJUkmjQicEpodv8+PrcRB0TEbJXkV2K2uaHdJEJoFuVxetWYlAqeEZsdpg5IDgfmq0sPgcUS7R4LQPKiNYEwRgVMRIO7iIsjvduMpLMJTWgJ+PyAhjzGhSElBpmz6AR+33HILEydODNqm1WobuDfBPf7449x///1B20QaS0EQGhu/34/D7eNoaSUOdyDYViGXkW7WYlArkMvEDbQgCILwJxXFsOUD+PEZcNkCx9qMhLEvQmzr6PZNEARBaJQOF1fw4Ge/se5gCQAmjYJ7L8zh0h7pxIpgQUEQBOFPnHY3h7eVsGr+HuxWNwAJmQYuuKEzsakiU44gCIIQRPlxWPI32PkV+H2g0EC/m2DQnWBIinbvBEEQghLBUxHi93pxFxbiLSn541G85eX4vT5UGelIiqb98cfFxREXFxftbtQqKSmJpKRmNghXloK7AiQZ6JNA3rR/jwRBOMXt9XGg0Ib3D5mmPF4fh4sraJtoQC92rgpnwefzU2lxBu5RVTK0BrEgJgjNhs8L2xfC0v+rfvzAcvjgLzDlf2BMjU7fhCbN5vBgcbiRJIjXq1EpRNJqQWgucsvtXP3GOo6X2auOWRweHvtyByaNkr/0zohi74SmrMDiwOPzo5LLSDCqo90dQRDCqPCwlaVvba92rOiojc9nbWLiw+dgim8cG6mFpsXusVPuLAcgRhWDVil+jwSh2agoggU3wpE1p455HLDmv4H/H/kIKDXR6ZvQtNkKwesEmQIMySACuIUwE6uwEeL3evGWlgZt89ms+L3eJh88JTQwtx3yt8OSR+DYOtCYod/N0GcKmMSiWLh53D4cNhdIElqDErlYMBIaQLndUy1w6o/yLA5ax+tQyMTvolB3FeVOdq/NY8v3R7Bb3SS1NjL4ivYkZBpQacR1SLjZrRY8LhdypRKdKSba3RFaAmse/PhU8LbifVByUARPCWfE4/VxoKiCZxbv4oddBagVcib0zeDm4W1JN4vFjHDzeH0UV7jw+/2YdSo0Snm0uyS0AHvyrdUCp/7o2SW7Gdw2geQYsZAh1F2xzcny3QW88P1ejpXaaZOg58GLOjCgTTxmndi4EW4Wu5sKlweFTEaiCFITGoDd5mLN5/uDtjkrPBzbVUrnweI6UTgzR61HmfPrHL49+C0+v4/zW5/PHb3uoJWxlchkFmZ+v58Clwef349BIceoEPccQgOw5VcPnPqj9a/DOTeKbOnCmXGUw9ENsPRRKNgBpjQYch90HicymUWCqwIcZSDJA4lcWtC6pFg1ixSv9/dSfcH53W5Qixtc4Qzk/gbvXBRIbwlgL4Uf/w2HfoIJ74ZtcPCUlODOzaNi1U9IGg2GoUNRJCYiNxrD8vpNQXmRnc3fHWHfxnxkMomOA1PpNiIDY5yYQBYix+f3U+H0hGx3uL34fEDLuUYR6sluc7Hio90c+rWo6ljBYSsLZ21izJ09aN0lPjwn8vuh/Cic2BK4cUnpDqndIablZC1w2GzkHdjDqnnvU3L8GLEpqQyaeC1pOZ3QtqDxU4gCd2VgN18oeVuh9aCG64/Q5B0uqeTSl1dj/718sN3t5b2fD/PjnkLmTR9AapgCqMrtLvItTn7cXYjb62NExyRSTZoWVS4st8zOR+uPMG/9UZxeLxd1SeG2Ee1oHa8TC0ZCRP12tDxkW265A4fH24C9EZq6SqeHt1cd5JUVpwIrDhRVcMsHm3hsXGeu7tcKVZgWafPK7ezOt7LlSBlZ8Xp6t44lNUaDQt4ybpLtLg97C2w8s3g3W46WkWhUc9uItozskCQyfQkR5XX7KD5uC9l+fHcpnQenNWCPhKbuhO0Ek7+dTJH91L3s4kOLWXNiDZ+M+YQMY3jmk1wuF1arlf3792O322nTpg2xsbEYDIawvH5TkO9082VBKa8fK6LM7WGw2cBDbVJpq1WjaiHjpxAlZUdCt3kc4LQ2XF+Eps/nhd2LYeFNp45ZTsA39wWSjlzwGGjCtJHZmg8lBwJr7/okaDMssDG1pWRH9HqgZD+seAr2LQO1MZDIpcfEFrNBVwRPRcppIvBE1inhjFQUwbcPnAqc+qPDq6H0UFiCpzyFheT9aybWJUuqjhU89W8S77uX2CuvRG4y1fscjZ2lyM6Cp3/BbnVXHdv83RH2bypg/L29RQCVEDEySUKtlIEjeLtSLkMm1tGEM1BR5qwWOPVHP83bQ8L9vdHHhGGSPX87zB0TCOo9SZ8IU76GxA71f/1GzuvxsGfdapa+/lLVsYJDB1j0zOMMu3YqPUddglIlFjOECFGoQakLBFEFE5vVoN0RmrZKl4eXf9hXFTj1R4eLK1l/qIRLe6bX+zylFS5eX3mA2T+eWmh/ZsluJvTN4K8XdSTe0Py/M3PL7Vz71nr2F55aiJz/yzEWb8/jqzuG0DpeH8XeCc1dVkLo3y+TRoFSLKQJZ6DI5uS1lQeCtj27eDcXdEomPVZX7/McKa7g6jfXcaz0VNY0rVLOBzf2o2dmLPIWcLO8+UgZ17y1rmqvrs3p4YHPfmNCnwweuaSTyPIlRIwkkzDGaSgvDJ61MC5NXLcIdefz+/ju0HfVAqdOsrgsfLrnU+7oeQdKubJe53E6nezYsYMvv/wS/+9fnMuXLycrK4vLL78cYwvY6FbkcjNj1xGWl5wKUllcbGFZiZVv+rSnm7H+47MghFTbeqUkC8xlCUJdWfNgyd+Ct218GwbdHp7gKcsJmHctnNh46phMDle8A+0vaBm/t8V74Y2RgWpYAE4LfP9/sOcbmPAeGJOj278GENUZEa/Xy6OPPkp2djZarZa2bdvyxBNPVF3MNGWSXI4sRAS7pFYjyUVqTOEMOG2Q+2vo9gMrwnIa28qfqgVOnVQ46zlcR4+G5RyNmdfrY/uqE9UCp06yFDk4sr04Cr0SWpJYnYpQU77JRnWL2VErhEfeAUvItvJCOy5H6ExndWbJhXlXVQ+cAqgohE+vB1tB/c/RyFWUlvDj+28GbVv9yftUlpU1bIeElsWQAn1uCN6mjYWkzg3bH6FJs9jd/LinMGT7V7+ewO0NspnjDO0tsFYLnDrp01+O8cvh0iDPaH42HCqtFjh1ksXu4c2fDuDy1P9zFoRQemaa0auCz0lNHZJNkshgI5yBPIsDry/4PG6Fy0tJpave5yi3u/jr51urBU5BIDviDe9uIM8SYgdSM1JgdfDIom1Bixx8uvEYhVZnw3dKaDH0MWr6jM4K2iaTSbTtLUrlCHVnc9n4/sj3IduXH12OxRV6PquuLBYLX3zxRY21xkOHDrFp0ya83uafafOw3VUtcOokt9/Po3uPU+YOw7ygIIRiSgu9oa/DJWBIbNDuCE2cvRQqa1mfLdxT/3N4nLD6v9UDpyCQ9erTKYEArubOYYHvHzsVOPVHR9ZCURg+5yYgqquwTz/9NLNnz+bll19m586dPP300zzzzDO89NJLp39yIycpFCjT0pBpq6dxk1QqVK1aISnrFzkvtDAyOchr2UGmjav3KTzFxRS//XbI9tKPPsbfzG8qnBVuDmwOvWC0e10+Tru4qRAiRyWX0Tpej+wPpVokIMmoQa8WGQuFM6PWhf6dkSSQhaNOdUVh6DTMBTtrv6lpJiot5bjswXfget1uKspKGrhHQouiUMHgu6DD6OrHDUkw+YsWVT5TqD+5TMJQy/VGrF5V7RrlbDjcHt5adTBk+5wfD1AWhoX2xszp8bJw0/GQ7Uu251PazD8DIbrSzFo+nD6AWF31ealxPdK4un8rsWFDOCMaZe2bQ1Vh2DxaUuFizf7g9xUWu4ejxSEycDYjVruHg0UVIds3Hy1ruM4ILVLrrvF0PzeDP+74U2rkXHJHd4yxIuhWqDulTIlRGTrrk1FpRCGr/xzo9u3bQ7atW7eOiorQ36nNxbLi0EFoa8srsIhSzUIkGVPhmk9rBlBlDoSLnw6UAhOEulKcJsNqOH6fKgph09zgbX4f7F9e/3M0dk4L7P0udPuORQ3WlWiK6krsmjVruPTSS7nkkksAyMrK4uOPP2b9+vXR7FbYyFQqVK1b43e78bvdgYAphQKZCJwSzpQuAbpPgs3v1WyTJGg7st6n8Hs8eEtD7/T2FBbi93iaddY0SSahUIWeKFZqZMjkzT8VvBA9MpmEQaMgJ9mAy+PD5we1UoZCJiGvQ6DL8ePHeeihh/j222+prKykXbt2vPPOO/Tt2zfkc1asWMG9997L9u3byczM5O9//ztTpkwJ47sSoiU5y4RMLuHz1tyenNU9Aa0xDNcj7tNMNgXbpdDMyE5TilmmENd9QoQZU+DSVwKZ3koPBoLqYzICu/zqGegitCwJBjVTB2fx2Fc7grZf2791vcsiuTx+imyhA4NKK11hyW7VmMklCb069D2VViWvd5CaINRGLpPonh7D13cN5XiZnfJKN1kJehIMKlH2SzhjiUY1iQY1hbaamY/aJuqJ09f/d8rprn1cKLPXzB7e3Jxu/A2VTU4QwkVnVNFvbDbdRmRQmleJSi3HlKBFZ1YhF0G3whnQKrVM7jKZVSdWBW2f3GUyMer6l16yWEIHDtnt9mZR/eZ0DIrQY4NSkpCLew4h0hJyYOpiKD8BtnwwtwrMYekTot0zoanRxUN6Hzi+sWab2hQ6y9mZ8HnAXcumDGtu/c/R2J0sqemqmSkdgDCMz01BVK9sBw0axLJly9izJ5Dm69dff2XVqlVcfPHFQR/vdDqxWCzVfho7SaFAptUiN5mQabV1DpzKy8vjzjvvpE2bNqjVajIzMxk7dizLli2resyaNWsYPXo0sbGxaDQaunXrxnPPPVeVcnTBggXI5XKOHw++q7V9+/bce++9AIwYMYIZM2ZUtY0YMQJJkpAkCbVaTXp6OmPHjuXzzz8/s/cvSSxatCho24oVK6rOIZPJiImJoVevXjz44IPk5lb/EnrssceQJIlbbrml2vEtW7YgSRKHDh06o341OSotDH8Q4ttVPy5JcOmrgQuOepIbjegHDAjZbjz/PGTq5r2TSGtQ0X1k6AwN3UdmogzXhJQlN1Bucfm/YcuHUHoIvGKHeSREa+xw2KyUHD9G7t7dlJw4hsNWM01yMDJJQqWQY9AoMWmVqBXyOgVOlZaWMnjwYJRKJd9++y07duxg1qxZxMbGhnzOwYMHueSSSxg5ciRbtmxhxowZ3HjjjSwJUr5TaHp0MSpGTe9aI3bCGK9h8IT2qDRhiKE3JAcuqoNRqAM3Ns2czmjClBi8TIEuxow+xhyW87hdXsoLKtm28jgbvj5I7r4yKspFeY5IaIr3HOjiIKkjdLgYWvWHmHQROCWcMUmSuLhbKoPa1sxqe/uIdrSO19X7HHq1gvM7hi7tMqR9AjHa5h28oZDLuG5g65Dt1w1oTYIhPJ9BkdXJpiOl/HfZXt77+RCHiiqodIlMupHQ1MYOmUwizazlnKw4zu+cTLskgwicEs5KslHD65P7oP1TBiqTVsHLV/cmMQxlIE1aJWZd6PnUton6ep+jsYvVKRnYJnjWeYVMoluGOSzn8Xh9HC2pZOHm47ywdA8/7ikgr7z5b4iJhqY2bgCotUrMSTqyuyeQ3iEWY7xGBE4JZ6VDbAf+0u4vNY5f0PoC+iT3Cc85OnQI2daqVStUquZ/3XNBvClk21+SY4lThie3Ronbw3arnf8ezuPVIwXsqXBQLkoCRkRTHDswpkJGH+g4GlK6isAp4ezo4uGy10D/p3KPchVM+iDwe1ZfSj0kdwnd3mZE/c/R2Oniode1odu71hy7z1rZMdj5NSx/CnZ8AWVHCVqjPAqimnnqr3/9KxaLhY4dOyKXy/F6vcycOZNrrrkm6OOfeuop/vnPfzZwLwML4JXl5TgrK1Dr9ehMMWgMkUspeOjQIQYPHozZbObZZ5+lW7duuN1ulixZwu23386uXbtYuHAhEydO5IYbbmD58uWYzWa+//57HnzwQX7++Wfmz5/PuHHjiI+PZ+7cuTz88MPVzrFy5Ur27dvHtGnTQvZj+vTpPP7443g8Ho4dO8bChQuZNGkSU6ZM4fXXXw/b+929ezcmkwmLxcKmTZt45plneOutt1ixYgXdunWrepxGo+Gtt97ivvvuo3379mE7f5NhzoTrv4K8bbBncSCbQOdxYEwDVf0nimQ6HQm33Yr1++/xu6oH8SiSEjEMGVLvczQFrTrHk55j5viesmrH2/VNIjHTEJ6TlB2B9y+D4n2njinUgTSmmYNAZCkJq2iMHdbiQpa89l8O/7a56lhWj95cePOdGOMjU8/76aefJjMzk3feeafqWHZ2dq3Pee2118jOzmbWrFkAdOrUiVWrVvH8888zatSoiPRTaDgKpZzMznFc/c8BHNhciLXYQWbnOJJaGzHEasJzEn0SnHMTrH+tZtuQewPBVc2cIS6eMXc/xPzHH8bjOhXMJFcoGDPjIQyx9S+t63Z6ObytiO/e2oHfF7iJWP/VQZKzTVx0U9fw/X0KQPTuOQShMUg2aXhxUi8OFlXw9W+56NUKxvZIIzVGE5bACrlMYkyPNF7/6QClldUzhWiVcqYOzkalaP6LcO2TDFx5TiafbDha7XjPTDNjuqchhSH4Md/i4K6PN7Pu4KnysZIEz17Rg4u7poiS0GEmxg6hpZLJJLqlx7DknmH8tKeQHbkWerWKZUCbONLN2rCcI9mo5sFRHXl44dYabaO7pYQlQKuxi9Gp+Ndl3Zj42s8UV5yas5Mk+M+EHmH5DDxeH1uOlnHdW+uxu0+VcsqI1fLR9AG0iqt/ELVwihg3hJYsThvHjD4zmNhhIosPLcbj83Bx9sVkGDKI09Z/DgUgNTWV+Ph4iourl32VJIkLL7wQrTY8Y1RjlqJW8I+2afxz/4lqx1tpVNyXlYw2DMGPhS43/9p/gk/yTlU0eXz/Ce5uncQtGUnEqsQ9RziJsUNo0RJyYPpyOLoODq2GxA6QMyqwgVQejk3iiXDR0zB3TM225G41k5s0Rwo1DLoT9n1fff0aYNhDgUoH4VCwC+ZeAhVFp45pY+H6ryGllgC2BiL5o5ifct68eTzwwAM8++yzdOnSpSrrxXPPPcf1119f4/FOpxOn89SilMViITMzk/Lyckym6lHUDoeDgwcPkp2djUZz9gtK0VgAHz16NL/99hu7d+9Gr68eFFNWVoZSqaR169YMHz6cBQsWVGv/6quvGDduHPPmzePKK6/kvvvu46uvvqrK7nXSlClT2LVrF2vXrgUCmaZ69uzJCy+8EPTPJ73zzjtMnTqVpUuXcv7555/2vUiSxMKFCxk/fnyNthUrVjBy5EhKS0sxm81Vx+12O7169SIhIYFVqwLpWx977DEWLVpEUlISZrOZ+fPnA4HMU7169eLgwYNkZWWdtj9NSbh+h8+Ez+3GuXcv+f+aiX3TJpDLMV5wAUn33oOqVasG6UNjUFHupOREBTtXn0Aml9F5aBrmZB06Yxh2pDitsOhW2PlVzTalDm5bB7Hh/6wtFgsxMTFBvy+bu4YeOxw2K/978Zlq48ZJWT16c8ldD0QkALdz586MGjWKY8eO8eOPP5Kens5tt93G9OnTQz5n2LBh9O7du9p3/TvvvMOMGTMoLy8P+bxofD8JjZitEH6bD6ufC1zwGlNg+EPQaVyL2U3k83qxFBWwZ91qcvfuJjm7LR0GDcOUkIT8NGX96qKsoJKP/rE26OaLHudnMnB8G+S1pGM/Wy117DiTcUMQhLNzoNDGU9/uZNnOAnx+GNIugUfHdKZdkqHepQGbihKbk0PFlcxbf4RKt5cr+mTQKdVEsqn+11Yer4+Xl+/jhe/31miTJFh6z3DaJYVpY8gftNRxA8TYIQiRVlbpYuXeIp5ZvItjpXZMGgU3DM7m2gGtW0Tw1EnHSitZtbeIFXsKaRWn44o+GWSYtejCEBB7vLSSi1/8CYujZraQoe0TeOXq3pi04d/s11LHDjFuCELklZWVsWLFCrZu3YrX6yU1NZWLL76Y1NRUlHWoEOP1enG7m3ZpWJvbS67Lzf8KyihyexgRZ6S7UUuyOjyZt5YXW3h0X/DKN692akV309lt+lcqlcjloee5xNgRIMYOQQgzpw1ObIJvH4KCHaDQQM9rYOh9gSCtlsJyHI5thG2fgTYe+lwPsa0DAU71ZcuHuWOhcHfNNnNrmLYkPJnE/uRMxo2ohv0+8MAD/PWvf2XSpEkAdOvWjcOHD/PUU08FDZ5Sq9WoG7BsmMNmrRE4BXDo1018N+eliCyAl5SUsHjxYmbOnFkjcArAbDazcOFCiouLuf/++2u0jx07lpycHD7++GOuvPJKpk2bxnPPPcfKlSsZNmwYADabjc8++4znn3/+jPt3/fXXc9999/H555/XKXjqbGi1Wm655RbuueceCgoKSEo6Vdbh3//+N+eccw6//PILffv2jcj5WzKZUom2c2cyXn0Fn80GkoTcbEYe5HexOdPHqNHHqMnoEAsSYdn5XaWiGHZ9HbzNXQkF2yMSPNWSNfTYUVleHjRwCgLjR2V5eUSCpw4cOMDs2bO59957efjhh9mwYQN33XUXKpUq6JgKgRKxycnVMwMlJydjsViw2+0tYheWEAaGRBhwC3S9DDzOwA4FY2qLKhkmk8sxJ6fSb9wV+Hw+ZHUotXkmjmwvCZm1dsdPJ+h5biaGuPAHT7VUDT1uCEJL1CbRwPMTe1Fmd+H3B0oyxURgQbYxizOoiTOo6dXKjN8fyN4SLkU2F++sPhS0ze+HxdtyuePcFpjNOYLE2CEIkWXWqRjXI43+2XE43F6UchlJRjWKFlYyLCNWx6R+rZjQNwN5mO85DhdXBg2cAvhpbxHFFa6IBE+1VGLcEITIM5vNXHLJJYwYMQKfz4darQ665vZnfr+fvLw8ysrKIt/JBqAAxgN+JUjWEiqtcDAMr+vz+9G5PTxpCj4euXJPcKBIftZrK2azmZSUlPCuzTRxYuwQhAhTGyB7GEz+Elw2kCkCax+KFpZAwJQOndOh4xgI8z0HFcXBA6cAyg6DrSgiwVNnIqrBU5WVlTUWl+RyOT6fL0o9qi4aC+D79u3D7/fTsWPHkI85mUWqU6dOQds7duxY9ZjOnTszYMAA3n777argqfnz5+P3+6uC1s6ETCYjJyeHQ4cOnfFzz8TJ93/o0KFqwVO9e/dm4sSJPPTQQyxbtiyifWjJFGYz/CEbWEslRWLXu9cJ/lq+4/6YplBokpyVFbW322tvP1s+n4++ffvy5JNPAtCrVy+2bdvGa6+9FjJ4ShDCRiYPlJMVwh44BVBR5gjZ5nZ68fkaRz1wQRCEM2HQKDBoRBkHSZLCHm/s8/spt4feJZ9XHnpcEQRBaMzCkZ2vOQh34BRAaaWr1naXx1truyAIQmOkVCqrVT2pi5OBU0lJSeh0OhG8E4Lb5wO7C3eI3X5amYwMrQr5GX5+fr+fyspKCgoKgEAJRkEQhAZlSAQiU32sSYnAPQcee+3t7srwn/MMRXWmcuzYscycOZNWrVrRpUsXNm/ezHPPPcfUqVOj2a0q0VgAP5Mqin98rN/vx+Pz4PP78P0pMGPq1Kncc889vPTSSxiNRt5++20mTJiA0Xh2gV9+vz/iF4wn31uw8/zrX/+iU6dOfPfdd9UCqwShSVAbA1Gz1tzg7Wk9GrY/QtipdbXvYFJrI5PJLTU1lc6dO1c71qlTpxrlXf8oJSWZ/NwT4HYELoTkKvLz8zGZTCLrlCA0Ipmd49i05EjQtoRMA0q1yDolNJwCqwObw4NCJhGrV2HUiAwEgtDY6FRy+mbF8suh0qDt53YS99FCw3F5fBRYHTg9PnRKOUkmTYspzykITUn75NDzxLE6pbjmExqUy1WCx1MOyFAoYlCpzNHuktBCeL3eqsCp+Pj4aHenUVP5/cTIFBS7gmctjFUr0akUZ7WWeHJe+mRlmtpK+AkCAF4PWPMCgRkKDRiSQRGe8pSCIISRLj5QucTjrNkmk4Mh+vNVUQ2eeumll3j00Ue57bbbKCgoIC0tjZtvvpn/+7//i2a3qkRjAbx9+/ZIksSuXbtCPiYnJweAnTt3MmjQIDw+DzaXjfzKfDw+D1u3b6Vjp464vW6UciWTJk3innvuYf78+QwbNozVq1fz1FNPnVX/vF4ve/fu5Zxzzjmr59fVzp07AcjKyqrR1qZNG26cOpWHHniAOc88A4DP5WqQoC5BqDdjKlw4ExYECRJtey4YReaWpk4XE0NWj94c+nVTjbasHr3RxcRE5LyDBw9m9+7q6S737NlD69atgz/B42Jgzy58s3QxFE4FuQpM6Sz97jsGDhwYkT5GVWUJlB+F3z4N3ER1vRzi2zWKizFBOJ3YFD3xGXqKj/0pcF+CIRPaozWKyQAh8ipdHjYfKePvi7ZxsKgCSYLzOibx6JjOtI5vniWeT5TZ2XyklFX7imgdp2dU1xRSYzRolGLiVmjczDoVf7+kM395dTV/Tk7YJkFP59TIXI8Kwp/lWxy89uN+Pl5/BIfbR5xexd3ntWdsjzTi9M3v+sXmcJNncfDVr7kUWp2c3zmJzqkxpMSIbElC45doUHNx1xS+3ZZXo+2vF3cUWb+EBuHzebDZdrFr99+xWrcCEGPqTceOT6DX5yBJza9UZ0WZk+LjNg5sKURjUNL+nGQMsWrUokxmVLjdgeytOp0uyj1p/GSSRKJSQanbU+OeQy5BjPLsS/bBqb8Dt9stgqeE2tkKYcuHsOp5cJSBSg/9bob+t4AxOdq9Cz+PE8qPwa5voHgfZA+FzP5gzox2zwTh9AzJMHgG/Ph0zbZ+t4A++ut1UQ2eMhqNvPDCC7zwwgvR7EZI0VgAj4uLY9SoUbzyyivcddddNWowl5WVceGFFxIXF8esWbMYOHAgNpeN47bjACxfvJzDBw5zx1/v4Kj1KK1MrTAajUyYMIG3336b/fv3k5OTw9ChQ8+qf3PnzqW0tJTLL7+83u81FLvdzuuvv86wYcNITKyZFs/vcPDQ1VfT5b33+OSTTwBwHT6MPyMDtFoRQCU0bpIE7c6DSR/Bd3+HkgOBbFTn3Bi4mNMnRLuHQj1pDEYuvPlOvpvzUrXxI6tHby68+c6wl3s96Z577mHQoO/ueYIAAQAASURBVEE8+eSTTJw4kfXr1/P666/z+uuvVz3mb3/7G8ePH+e9d96Ekv3ccvUYXn5zLg/+6wWmTrqUH1Z9wPxPP+Xrr7+OSB+jprIEVj4La189dWzDm9BmJFz2GhhTotc3QagDfYyaMbf34JdvD7Hr5zy8bh/x6XqGTswhsVVkvlME4c925Vq59q11nEx+6/fD9zsL2H7CwoJbB5Fmbl4ZCw8XV3DlnLXkWU6VN3v2u93MubYPw3ISUCnE5K3QuHVIMTL/5oH848vtbD9hQSWXcVmvNO46P0cEcggNorTSxSMLt/L9zoKqYyUVLv7x5XYcbi9Th2ShbEYLYRVOD1/8eoJHFm6rOvbR+iO0TzYw94Z+zW6cFJqfWL2Kf17ahZxkI++sPojF4SEjVstfL+7IkHYJImOc0CDsjiNs3DQRn+9UNoJyyyZ+2TiRfuf8D52uVRR7F362Ugf/e+XXahulNn57mCET29NxYCpqrShxHS1ijaluVDKJdjoNJ5wubJ5ARRyTQk6qWom6nuWexN+BUCduO6x9JRA4dZKrAlY9B5ZcGP0MaEzR61+4eVxw6Cf46Erw/Z71bdO7gQ3iU76BhPZR7Z4gnJZSC/1uCqzJrfg32PID6+JD74OuE0Ad/Q264uqrFtFaAH/llVcYPHgw/fr14/HHH6d79+54PB6WLl3K7Nmz2blzJ3PmzGHSpElMv2k64yaPQ6PXsHblWmb9cxYXjr2Qi8ZfhN1jx+V1oZApmDZtGkOHDmXnzp089NBDdepHZWUleXl5eDwejh07xsKFC3n++ee59dZbGTlyZJ3fz8GDB9myZUu1Y+3bn/oCLygowOFwYLVa2bhxI8888wxFRUV8/vnnNV7L53bjOnKUpLg47pw8mRfefff3Bh+uI0dRtW2DpBS7MoRGTmuGjpdAet9A/Va5MhBtKxe/u82FMT6RS+56gMrycpz2CtRaPbqYmIiNGwDnnHMOCxcu5G9/+xuPP/442dnZvPDCC1xzzTVVj8nNzeXIkSOB3QkeB9mt0vn6vf9yz2OzePGtj8lITebNWf9k1PnnRqyfUVG0t3rg1EkHlsPub6HvDQ3fJ0E4Q4ZYDUMm5NDnoix8Xj9KjRydyDglNJCyShdPfruTYBXGc8sdbDpS2qwWhS12N49+sb1a4BSA1+fn9o828f29w8mMEzuRhcZNq5TTNyuO96f1w+b0Ipcg3qAWmdOEBlNkdVYLnPqjl37Yx5juqaTHNp/v0jyLo1rg1El7823MXrGPv4/pjFoE3gqNXJJRw53ntuPKczJxe31olHKRcUpoMD6fk6NH3qkWOHWS11tBbt5nZGfdhUzWPJa0vB4vvy47VjPDNLBq/l4yO8WJ4Cmh0ZMkCa1corVGjRc/EiCXJOQi8EloKLZ8+PmV4G1b58HwB5pX8JQtDz657lTgVNXxAvjyrkDSBl1sdPomCHWlT4A+N0DORYG1SoUaDClQz6DbcBFXX6cRjQXwNm3asGnTJmbOnMl9991Hbm4uiYmJ9OnTh9mzZwNwxRVX8MMPP/Cvmf/imkuuwel00rpNa2665yauu/m6qqhsh8eBTqljyJAhdOjQgX379jF58uQ69eONN97gjTfeQKVSER8fT58+ffjkk0+47LLLzuj93HvvvTWO/fTTT1X/36FDByRJwmAw0KZNGy688ELuvfdeUlKCZALxePG7XQDMmDKFN+fPx+EM3FD5PW7weEAETwlNRXNMGSpU0RiMER0rghkzZgxjxowJ2f7uu++Czxu4mP7diEF92fzdx9Uf6PdFqIdR4HXD+jmh29e+GghmFOX7hCZAoZRhjBOLF0LD8vv9lNvdbD5SFvIxP+4uZEz35lN6uLTSxU97C4O2OT0+duZaRPCU0GTE6dXERX/jntDCVDg97CuwhWy3OT1YHB7SG7BPkfZDiEAxgPm/HOPWEe2aVaCx0Hwp5DLxuypEhauynNKydSHbS0pW0ypzGjJZ8yg/bLe62b7qeMj2fRvz6TemTQP2SGhusrKymDFjBjNmzIj4uRQyCQUiYEpoYB4HVBSB1xW83e8Hax7Et23YfkVS0d5AQoZgjqwBe7EInhKaBkkCU+OcSxbBU3UQjQXw1NRUXn75ZV5++eWg7X63h4EdO/Ll559xwHEMf7Bt4IDiDzsxdu3aFfJ8K1asqPXPZytUv+raftJjjz3GY489hq/y1KBgMhg4snLlWb3emfD5fXh8Hvz4kSFDKbIDCXXhdgai3u0loNSALhH08dHuldCS+f2BKG5bQSCSOxRJBs3pZtfnCdQ6D8VpjUiwmKe0FJ/VCjIZ8pgY5EZRWk04PbvNhd3qxuPyotEr0cWoUSgbx44LoWUqrXCxdGc+AAkGFfmWmrvAAdJjm9cCm9vrC5pl6ySLwx32c3q9PvKtTpweHxqFjCSTRpTHEU7L4/VRYHVSUuFCKZeI1atIMoogWyG6jpVWMuu73ZzXsfbNQppmdo1TVhli0YZA4K0vAvNVFrubMrsbv9+PSaskVieykgqnZ7G7KbY5sbm8mDQKEgxq9GqxRCBEj8/pwXnIgjO/FJU+kUr2B32cWp2MTFbLfFYT4/eD2+kN2e6whf+ew+/34ykowO9wICmVyBMTkYmN6FEzZcoU5s6dC4BSqaRVq1ZMnjyZhx9+GIWiYb+X/xxolZWVxeHDhwHQaDQkJyfT55xzuPGmmzjvvPNQSpIoqydElyUXfnoO2p2mgoa6mc3JOy21t3vDP3bgqggEqfk8gc9TbEIX6sJVEViLdJSD2gC6hEBVpiZA3BmdIZ/Xi9/nAwlkckVULhD8Xi/uwgK8JSXIYs3EGE2UucprPE4mydAomtnEqUIRWNgPttAtSUhhvqh0e90UOYoodZTi9/tRypQk65PRK/XVAtMEoZqKIvjlHVg1K1BzGSCtF/zlTUhoF92+CQ3P7wefG/wEoqmjFYDpdUHRHvB7Ia4NgQCpIBP4ugSQN6PvN6UWuvwF9i0L3t5+FGjMYTudz+3GuWsXef98HMe2bSBJ6IcOJflvf0OdnRW28wjNT1lBJUvf3k7BISsAcqWM3qNa0214OlpRnq/FsdjdWJ0eZECsXhWVMlter4+vt+by90Xb6Ns6livPyeS/y/bVeJwk0ayyTgEYNUoyYrUcK7UHbe+ebg7r+QqtTj795ShzVh6g3O4mVqfkthHtuKx3OgmG5rNAJISXxe7m+535PPbVdiz2QMr+rHgdL13Vm85pJhF819L4/YESDl4PyFVRy3KcV+7g6jfWcaSkkmE5SSQa1BTaagbeDstJJF7fvL7fhndI4pUVwRf8e7c2hzU4xe/3c6Dw/9m77zCpqvOB49/pvWzvjd67FFEUsIEFxS4YK/bYEkt+RkRNNIklxijGqGADu1GClSg2EKRK73XZ3qe3O78/RhaXmVlYmJ2Z3T2f59kn8b6zM4fd2bn3nvOe93Xw8H838v2OGoJBGFpo5U9TBtAry4RK2bkS04TYKWtw8cePNvD1llClNIVcxkXD8vjdGb3JFO35uhynx0+DK7TIatGpEpZE591vp3buRhRmNQWXX0ND47KIjyssuBaFovO8T9VaBXm9rBzY2hAxXjIkI6av529owPHtt1Q9/Xf8lZXI9HpSLr2U1GuuRpUpFsIT5ayzzmLu3Ll4PB4+/fRTbr31VlQqFX/4wx8SPTQeeeQRrrv+ehpcblZs28GCt9/i7DPP5LYHZ/KnBx/EqJAjFwlUXY+9EvxekCvBmJWYNluOGvjwBtjzXei+J3cYlK0Of1xKcedL9MnqHz1mygZtjKszNuyD/z0Cm/4TSp7K6AOT/wZ5w0FtjO1rCZ2HrQIWPw5r3zzUYrLH6XDuM2DJT+jQjoa4mz5KkiThdbmoLy+jet8eavfvw15fR8DvP/I3x1jQ7ydQVx8aV0Mj6QpLWJKUXCan0FyISt5+i/SPPfYYRqMx4tekSZPa5TVlSiWqrMgnO2VGRkyTp/ySnwP2A9S56porWvkkH6W2Uuxee7tUuRI6AUmCTR/B4j8dSpwCKFsDr58LjdHLMQudUMAXWsSo2gJVG6FuZ6jSkRR9Z1m7CAbBVR9KnIJQxre1kLAKU2ojGDN+qT7ViXQ7FaxF4cfVRhh7e6g6XIz49u5l7xXTQolTAMEgju++Y+8VV+A9IP7+hcjs9W4WPLO2OXEKIOCTWLFwN9tWVCJJ4pqjq/D5JbZUNHHr/NWc9NevOfXJb3jkv5s4UB+lJHc7qrR5ePLLrQCs3FtPUZqBCX1aXocr5TL+edlQcq2dZxEDIMusZdZ5kSekzhmUQ4Ypdgv+Do+f577ezt++2ErjL4tX9U4ff/50M//+bhdOb/zvN4WOYUNZI3e/+3Nz4hTAnlonl/37Rw40RE78EzopezWsehVemgDPDIC5Z8HGj8BZF/ehbDjQyL660Dnrua938JcLB2LVt5yX6p5h4M/nD8Cs61yVLkrSDQwvtIYdV8hlPHRO/5hWhSqtdzH1haV8t72muVLimn0NTH1hafPPXxAOV+fwcOc7a5sTpwACUpB3Vpby1KJtOD3imqMr2VPj4P4P1zHub4s5+W+L+f17P7OrOv7z3QG7l8ZPdoX+f5MXVWkuBVnXHfYoGd263Y3B0DOuY2tvGr2KsRf1RK4ITz7JKDSSmh27vsvBQADb519Qdt/9+CtDlYWDTid1c+dS/uBM/PX1MXstoW00Gg3Z2dkUFRVx8803c9ppp7FgwQLq6+v5zW9+Q0pKCnq9nkmTJrF9+/YW3/vBBx/Qv39/NBoNxcXFPPXUUzEdm8lkIjUzC19GFkNOHMvMZ59jxr338/yfHmXxuvV4xFxV1+Kqhy2fwqtnh+45/n0KrHgptM4Qb00HQolTAMtmw4QHwuf+jZlw+duhhKLOxJABQ6ZHjp31FzDlxO61msrg9Smw4b1DCTDVW0LHKjbE7nWEzsXrhG/+CqtfPfS+AdixCN67JpT8mOQ6UWmJ9uX3uKkrO7ToKUkSjvo6fC4XlqxsFHEsoxkMBGiuFhIMEty7n/ycLPx6JW7Jg0qlQavUoZKr2rUy1k033cQll1wSMabTtU/rDplcjsJqRaZS4ausIuj1IFOrUWZmojAakcUwy9kn+XD4HBFjlc5KDCqDaOEnhLNVwDd/iRxrKoPqzWDJi++YhMQI+KBhbyhZ6iCfC2p3QGp30JrjN5ag1HIcXnvof1OKQ1WxpECo5KpCnbjKWO3Jkg9XL4Qlz8LaeaEqXL3Phol/DP0MYkRyOqn514sEfeHlcQP19di++orUK68UZa2FMPWVTmx17oixlZ/uofuQDIypnSs5RYhsb52DKc8tweMPVVn1+CXm/7SPH3bU8M6No8mxxK89ns3to8F56PPsvvfXcfvEnlw+spBN5U3kWLSMLkkl06xNSGWs9ja6Wxpv3zCaxz7dzPoDjWQYNdx4SjfOG5xLiiF2C+A1dg9vLt8XMTZ3yW6mjy6kMFXctgst1Tu8/O3zrRFjDm+ALzdWcP3J3eI8KiEhPDb44e+w7PlDx+p2wXtXwVl/hROui+v1/Xfbq5v//85qO3/9fAt/On8Ado+fikY3o7ul0S3d0Ckr3GSYNDw/bTjzf9rH6z/uocnlY1RJKv83uR89s2K3K1uSgixcV96ccPtrHr/Ei9/t5JEpAzrluVk4PjU2Lz/tjpxU+cGqUm45tTtFon1fl1Ba52TqC0upcxxqN/rZhgqW7Kxh4W9PpjBVH7exBL0SvvJD8++OT2pJG3cuWQOn0ORag0ytJDVzFGp1OkplJ2u9BKRm67no/hEs/XAnB7bUodYp6T8uj4Gn5GGwxm7Dhr+qiupnnokYc3z7Lf7qapQpKTF7PeHY6XQ6amtrufrqq9m+fTsLFizAbDZz3333MXnyZDZt2oRKpWLVqlVccsklzJo1i0svvZSlS5dyyy23kJaWxtVXXx2TsQSDQaq9vhaNC6bddAsv/e0vLF64kKF9+5KvVYvqU11BIACb/wsLfnvomL0SPrsXqjbD6Q/HvuJRayrWH/r/zlr4+DaYOBPkitC9UO5wyOrXISrctJkuBU57CHKHwA9Pg60csgfB6Y+EKnDF8u+xfF3o53m4YBC++D+Y9j7oU2P3ekLnYK+CtW9EjpX+FPrsMKTHd0xtJO6IjkLA76eppjpizOt2EfD745o8dXiCUFCSCB4oRyGXY1SpUBUWIle0b3sXX8CH2qjGorWgVqjRxSFZ6yCZUonCYkGu1xMMBpHJZMjaoTe32x95ERNCVakCwQAqOmGSgXB8/C5wRP68AEIXdj1Oi994hMQJ+FomLP1aYymoesZvIUMmg8MrEXrtoS+FClTG0AVLO7YjdXr9VDV5WLarlkaXjzHd08iz6kiLVzsiayGc+Sc4+a7QBb7WGuq1HEMBux3nT8ujxh3ffUfKJZcg03a+xSLh+NSW2qPG3HYffl+EdsVCp+Pw+Pn7ou3NiVO/tq/OyYo99Zw3OH7JU1qVApmM5ooWfinI04u2oVHKKUzV85cLB1KYFrvd0BHZq6B+D+xdGqqMWHhiaBddDCsGRmPUKBndLY1XrxmJ2xdAIZORYdIgj3ErtFq7l0CUHbu+QJA6h49CMRclHMbtD7C9Msp1JrBiTz3Xjg3G/P0qJCFHNSx/IXLs60ehz9lgLYjbcHIPS/LdVmnntvlryDBqKEzTc/kJhe2aOOXzS1Q0uVm9r56yBhfDClMoiWOyVrZFy+0TenDFyEKkYBC9WoE1hhWnABxeP99sjb7D/8ddtdjcfpE8JYSptLU2zxnE7haVp7qCgBTko7UHWiROHdTk8vPOT/u48/ReqBRxqkgulyHTKAh6DlVod33XAN+DKr0PpgkF6IvbtxWt11uPx1NBXf0SFHIdKaknolFnoFS2fzsihUpBRoGJM2f0x+cOIJODzqRGEeOff8BuJ9DQEDXu3bETba9eMX1NoW2CwSBfffUVX3zxBZMmTeKjjz5iyZIlnHjiiQDMmzePgoICPvroIy6++GKefvppJk6cyIMPPghAr1692LRpE0888UTMkqckwHXYvaolNZXUjAzK9u3DJUlIwaBInuoK7OWwaGbk2OpXYcxt8U2eMh52XrCVw0c3hxKLzHkweFr7Jk4Fg6H1ncr1UL0VsgZAZr/4FU0wZsIJ10Pfc0OVfZTa9klG2fG/6LEDq8DnBMSElXAYT1NobTSaprLW208mgU6fPBWLUrPBoITfG35DcZDX5UQdz4VQhQKZWk3wsDEFJQkZIFO07wSJN+BlT9MefL9688tlcorMReiUurhV1JCpVIc3nIop5RGSCOTt3NZKtAXsoJSa0IWiuzFyPE3ciHYEMfn780auXAdAwBOq9hS35Cl5aNHZHaEMd8AHZmubEqckqW2JHE6Pn883VvD7937m1/fc43ql88RFg8mK185zpTZ0A9VOZEolitQ0/FWREyiVmZkxbS8rdB7WrOg7e9VaBQpVJ2ulKURkc/v5fkf0BOyFP5cxeWA2yhhWWm1NqkHN+N6ZLVq7QKiqRZXN0/5VsJrK4N2rQruSDpIr4ZI3oPuEuCRQQejn0J506tbv3XTi71+IQK2UU5CqZ0tF5ASqfjkmkTjVVTQeCFWZjcRrB1ddXJOnzuifxd++2MLhOaHVdg9XnVhEurH9PlN9folV++q5as5PLRKRe2UZefWakeRa45OArFTIyba03zlKrZST2Ur72DSDBlWEFlCC0NrGJZkM9KLqVJdgc/tYtKkyanzR5kquPakkbhvdFCYVxjG52L7Z3zIQBH+tC3VB+1Zt93ir2b7tT1RWLWxxvGePP5KTcyEqVXyqxmv1KrT69psjlKvVtNgZcxiFqDqVMAsXLsRoNOLz+ZAkiSuuuIKpU6eycOFCRo0a1fy4tLQ0evfuzebNmwHYvHkzU6ZMafFcY8eO5ZlnniEQCKCIwRqhHNDIZbgCLY8fLGigkctFdf2uwtUQatsXSTAIdTshvUf8xpPRJ9RF4/CN6656KDm1/ashVW2C185p2SbdlA1X/RfS47T+J5O1f0vC1hLQdCmhNSdBOJzaGHpvRJunMGbGdzzHoNO+s1W/VCJyOp0xeDZZqxcB8nZOVgp7PZUKdWFh2AKsTKlEFeF4LAWkAGX2shaJUwBSUGKfbR9+qfPsUtIoNFETpMxqMwpZ+/7eD753Ve1QVUtoR8bsUKZ9JLoUyBkU3/EIbaJShSroVVdX43K5cLvdx/7lC+D2B6N/ebzH9/xt/fIHcWsywsehtOKWFEf1HC6Xi8bGRsrKypDL5ajVR7f4Ud7o5neHJU4BfLethg9XH4hacaOjUaamknb9dVHjKVdcIZKnhIjS8oxoDZHP94MmFqC3tG/yhpAc5DIwa6Nf96Ub1SjiODFp0qp45Lz+dM9oWV3KqFHy2rUjyW7PxFe/B5Y+1zJxCkI76t6dDray9nvtOEszqClJj1zBq1eWMX4VGoUOJc2g4a7TI0/KqhQyzhsi2oR3GeojVABs56rkh8uxaPnn5cNQHpa8N65nOpeMKIh5JY1fq7S5uWbuirAKjtsq7fzlsy04PZ1jvkqjVHDNSSVR4zed0j3m1a6EziHDqKF3VuS2Z2f0y2rX5EYheagUciytJOlYdCqU8ao6BcgUcown5qDudljFEoWMtOn9ULTzvXBt7XdhiVMA23f8Cbd7f4Tv6JgUqakYxo2LGJObzaiLCuM8IuGg8ePHs3btWrZv347L5eK1115LmoQkmUxGhrrlPGZDXS31NTXkFRWRqVbGdY5CSKAj3VNo4txW1ZQD0z4IvxfK7AdnPBrzbhMt2MrhrctbJk4B2Crg/Wtb70rT0fQ5O3obwNG3gKF9K0MKHZQxA/qeFzmW0Tu0hp7kOu0KnkKhwGq1UlUV2imt1+uP+aJDkiTkGi1uR+SWKpJMhtsdvfRxWwX8EgG/hN8rIVeASq1ErgxP4JJycwn6fAS9XmRqNTK1Gm8wCDEcy+G8AS82Z+TdrRISNqcNvSp+fdHbUzAYJEudRbm9HIlDk29quRqLwoLP68NHK6XnjuN1nU4nVVVVWK3WmOwSEOJIoYThV0PD/lBf14M7esx5cMU7nbPPcieiUCjIz8+ntLSUPXv2HN+TSX5oqqFFY/iDVHqw749Zdn4wGCQohaokBiUJhVqNXKFAfnh1kqAEkjJU+SoYDFVisjmhtrRNr6fX6yksLAx//igWriuLtrmNV37YxdSheWS14+7seDKMGYPl/PNp/OijQwdlMjLvvQd1UVHCxiUkN2OKhil3DeXT2euw1f1yHSeDPqOzGTgur10XGoXkkWHScO3YEh5ZuCli/PJRRTGdRK22udlb6+SH7TWkGtWM65lBplmD/leTo/mpeubPGM2eWgfrSxspTNXTL9dMjkXXvlVtHNWwam7kmBSAXd9Barf2e/04yjRrefHK4Vzx0jJq7IcqC2eaNLwwbTjpInlKiOKE4lR+d0Yvnv1qO75A6ELLqlfx/BXDyLN2jusq4SgYs0I7N+0R2rhl9gV9Wsxe6mBLvJ9217GvzsHwolR6ZZlaVFnSqZVM7JvJ1787lVV766h3+RhZnEqORdvuyaCby5tw+QIRY5+uL+f3Z/amsJNU1umebuD3Z/TiyS+3tTh++cgCRhSL6iFCZBkmDS9dNYIb31jJ5vJDc7sn9Uhj1nn9MbWSxC90HgaNkutP6sZ322oixmec3A2LLnbvBZfdi73ew971tShUMooGpGOwqNH8KoFLYdaQdkUfAg0ePHuakBtUaArNyM0q5O3YgtTjrWXf3n9HjZcemE+f3o8ga+cN1PGgMJnInvkg+6/fi3f3nubjcoOegpf+jTJLLIAnisFgoEePlhV7+vbti9/vZ/ny5c1t+2pra9m6dSv9+vVrfsySJUtafN+SJUvo1atXTNeTNHI5hTo1pW4vUhDmvzAbuVzOFRdORROnqthCEtCnQd4wOLA6PKZLAUsMK90ebIlXtgYq1kP2QMgdGlpXOzgnplBC3nC4eRmUrw2txeUNg9SS9q/GZK+Ghr2RYxXrwVEDhoz2HUO8mHPhwjnw4fWhubiDup0Kw34DYu1aiERjgrMeD1WG2/nVoeOZ/eCy+WBK/muOzjFrEEV2duhD8mAC1fGQAgGcjQ1IgZYTMTqzGdv+0pgtZEiBIE6bl2DgV6vMsl96XUdIoIo3n+Sj2hk9c9av9aNVdp6J2mAwiBSU8Ek+AlIAlUKFT+bjQN2Bdn9tq9Xa/B5uZq8KnZgPrAmduHIGgSk3dLEgJA9jJpz5ZzjpzlDLGY0pdMycm+iRCUfBaDTSs2dPfL7jTI70eWBfKXx+PwR/de4w58P5s2P2fvB6POzf8DPfzZvbovx2RlEJ46++AYM1tpPnCoUCpVLZpvPRgQZX1Fidw4vUidqUKtPSyLz/PlKvuQbnsmXINGr0o0ejTE9HYWzHXS9RSD4f/spK3Bs34q+uQTd4MKrcHJRpsVtIE46fTCYjPd/I1HuH4Wry4nEFMFo16ExqNHpxju8qZDIZZw/K4avNVSzZ2XIx467TelKYGrsNChWNbm6dv5pVew+VXZfL4OlLhnBG/6wWCVRZZi1ZZi2jSuL4uSH5wddKBeFOVHkKoFeWiQW3ncSWiia2V9rpnW2id5aJnDi1mDpcncNLZZOblXvrMGlUDCu0kmHWomvHxSuh7VINaq47qYQpQ/Ioa3ChUcrJMmvJNGniWjFCSDBTTmgC8rXzWn5u6lPhorkxK4nvD0is3lfPbw5riVeYqmfe9aMo+NU5SqtSUJimpzAtvhvrqpo8UWN+KYgv0LbW48nMoldz1YnFTB6Yw5Kdtfj8EmN7pJNl1iSk6lQwGKSs0c22iib21bnok2OiOM0Qv/bswlErTNXzxrWjqLF7qHN4yTBpSDNq2r1NsZBc+ueaueyEAt5e0bKy0pTBuQwrit0ckrPJww/v7WD7ikNtApd+sJMRZxczeEJBi+rLCqMahVGNOj9+1UuCkg+vry5q3OOpJBgMdIrkKQB1Xh6Fr72Gd/ce3Bs2oMrPRzugP6rsbGQJWAB3u93Y7Xb27t2LTCajsLAQo9GIVivOHT179mTKlCnMmDGDF198EZPJxP33309eXl5zq77f/e53nHDCCTz66KNceuml/Pjjjzz33HPMnj07ZuOw2WxUV1bi8Xqp2rWLN9+cx2tzXuFPjz3GsD69kYuqU12HIQ0ueBFePbvlpg2l9pdkiJzYvVbVZnjt7JaVnfSpcNUnkNXv0DGFElIKQ1/x5I1cZKWZL/o6SIejNkDvSXDbKti7NNQSvmhsKFnOmKAEsaZyqN0Rep+kdQ9VMhIFK5KPORcufDm0OdZeCbrU0NxEB2jZB508eUomk5GTk0NmZubxL4IDjoZ66ivKOLB5Iwarlfz+gzFYrajUsdk953X7WfL+Dsq2N4TFlGo559wyCENKYi8eqxxVPLT4IRw+R8T4cxOfo9AsyrweL5VKFb5DoPEAvDMdyn6V3a3Sw/QPIH+kSKBKNlpz6Cute6JHIhwDhUJx/Lt0tFrodSpkfwjbPg/tmOh2ami3RAwT6Vz1tXz+zyc4vLTT3roaNhYWMfbS6SgS/PlwWt8s3l0ZubrViKIU9OrOMRF1kNJqRWm1ou0dpx7nUUheL66VK9l/8y0EPYcWk3QnjCDvySdRiZ2FScdo1WIU1UK6tCyzln9cNoQ9tQ4+31iBUaNk8oAcsi1azDHaAe4LSLz+454WiVMAUhDuenctX919Ct0y4p/s2YJKDxl9oHpL5HjxyfEdTxzkWnXkWnVM6JPYz+Yqm5uHPtrIZxsrmo8p5TKevmQwp/VrmVgnJJ5eraQwVRnT5Eqhg5HLIWco3LIMdn8LlZsgfwQUjAJr7HaAVza5ufbV8JZ4++qcPPTxBv5x+dCEV60ZlG+JGss2azF0ss8vk1aFSatK+Dk7GAyyqbyJK15aTqPr0NxrSbqB168d2SKxTkgO6SYN6SZR2bIrSzNquO+sPlw5uohP15cjBWHSwGzyU3SkGmL33ijd2tAiceqglZ/soah/GtmHt+qLM5XKRErKKKqqPosYT0+fiFzeuRILVZmZqDIzMYwamdBxOBwOli5dGlY5afz48YwcORKdLjGbSJLJ3LlzueOOOzjnnHPwer2MGzeOTz/9FJUqdL01bNgw3n33XWbOnMmjjz5KTk4OjzzyCFdffXXMxjBz5kxmzpyJWq0mOzub0aNH89VXXzF+/PiYvYbQgaT3ghmLoXQl7FsWSlrpPh5MebFbm7RVwjvTwlviOetCx6/5PPFVa4zZoW4iwQgbM5SamFb+TQoqXaiiV2r0tuFxU7cLXj+/ZeUvQwZc9d9Q1WUhuehTQ18ZvRM9kjbrXDMHUcRkERzQZueQlp1DjyHDYzCqcJ4mJ7tW1UXs8AQSjroAaTmJXVDLVedySf9LeOynx8JipxWeRpY5S+wOaA8+Jyx+rGXi1MHjb14Ity4Hq0haE4Sko9KFEujG3NpuL7Fz5fKwxKmDfv7yE4aeeQ6mtPR2e/2jMTDfQmGqnn11LauIyGXwf5P7YknA7uiuwF9Zyf4bbyJ4WAK5a8VK6ubOJePuu5Grxc9eEJLNwQWtEcWp7fL8NXYPr/8YucR4MAj/21zJDYlOnjJmwll/gTfOD49l9oP0nnEfUlcQDAb5ZF15i8QpCFVsueOdtfzvrlPonpng94YgCOEUSkgpgpTftNtL7Ki24/BGbom3eFs1tXZvwpOncqw6RpWksnx3eBWR/zu7L1lmkSzSHiqa3Fw9Z0WLxCmA3TUO/u8/63nuimExbQEmCEJspBjUpBjU9M9rnwQml93Lmi+jtDUCfv56PxmFJhTKxFXLVCgMlBTfTnX1/wgGW36GqdUZpKWOS9DIOr/y8vKwxCmAxYsXU1JSQmFh11jnePXVV6PGUlJSeP3111v9/gsvvJALL7wwanzPnj1HPZbDH9uW7xW6EEt+6Kv/+e3z/I7qUIJMJHW7QvGEJ09lwPBrYOUr4bET7wi1VRdiz1ELH1wf3jLRUQ3zL4XrvohtBTShSxO13JNIwC9FSZwKcdmPv3rW8VLKlUwqmcSfx/6ZLH3oJGBQGZgxcAYPjHoAizaxO0Y6LXs1rH83csznhPKf4zseQRCShr0+eolxr8tFUEp8e4oci475M0YxZUguSnmopHPfHBNv3zCa3tnxK8ne1ThXrgxLnDqo/p13CdTWxnlEgiAkA0kKYvf4o8YrW2l7FFf5J8D0Dw8lSinUMPQ3MO09MGW3/r3CMam2eXjx28gTlcEgLPi5c7VLFATh6NU7os9HBYPgTYKWeOlGDf+4bCjXnFiMVhWa7ixI1fHCtGGc2iu9TW3HhaNX1uCm2h752uH77TXUObxxHpEgCMlACgTxOKLfc7htPiR/KwshcaLTFTN8+LuYTYN+OSInPf0Mhg97G50uL6Fj66zcbjc//PBD1PiSJUvwesW5QxC6JL/7+OLxoDHBqffDxIdA90urW0MGTHoCRt0AKlFcpF04a+DAqsixhr0t20kKwnHqEpWnOgq1TonerMbZFPniMD0/OXb5WrVWzu1+LqNyR+Hxe1DJVaTr0lEpxE6ydhPwhr6isVVEjwmC0KkVDxnOqk8+ihjL7t4LVZJUA8xP0fP4BQO554zeBIJBDBol6Uax+7s9+cqjnxuCLhdBf/SJTEEQOi+9WsngfAs/lzZGjJ/SKyPOI4pCY4QeE+GqT8DnALkKDOmhqo5CuwhIQWqiLIADlNY7o8YEQejc+uZE3/CQYdRg0ibH9GK2Rcv9k/pw/cnd8EkSOpWCLHNy3A91VvVHSI5y+yJXLBMEoXPT6JTk90lh89LyiPHiwekoNYnf169QqLGYBzF48Bz8fhsymQyVKgWlMjnWYTojv9+Pw+GIGrfb7QQC4twRS/PmzePGG2+MGCsqKmLjxo1xHpEgRGFIB4UKAhE2bih+mRNKBsbMUJWpQZdCwBNq12fMCbVUF9qH7wjzUR5bfMYhdAnJMbshAGCwaDhxanf+9+rmsFjxoHT0luRprSOTyZorTwlxoDaAOReaouz2zh0a3/EIgpA00vMLSSsoonb/YSVLZTJOvWoGOpM5MQOLQK9RoteIS4940Q+P3mZYXVyMPEkS6wRBiK8Ug5qZ5/bjon/9GNb1tVeWMfkqAia6JHsXolMrGFZk5afd9RHjp/bOjPOIBEFIFhkmLaf3zWTR5vAdvX+Y3IcsU/JcV2pUCvJSRKJtvBSl6aPGDGpF0iTWCYIQX0q1gqFnFLJ9RSV+X8vqhDqTipLByVURUK1OQa1OSfQwugStVktRURHV1dUR4yUlJajVybMO1hmcd955jBo1KmJMpRIFEYQkYsiAMbfDD0+Fx8bcFoonC4UCLKJCYdzoUkNJav4IG/5kMlGhXogpkQaZRGRyGUUD0znrxgFYMkITPWqtguGTijh1Wm90RnHR2GWZcuC0RyLHcoeBtWv0AU9qkgSNB6BqC9TtBo890SMSughjahpT75/FoNMmofjlhjezuBuXzvoLmcUlCR6dkEjqkmLUPXtGjGXedy/KjCS64eyiAg4H3n378OzYga+8IinabApdQ98cM+/eMIb+uaEEW41SzrSRhbx6zUhRoaMLs+rV/GFSXyKtY+VYtAwvEgtKyaCyyc32Shu7axw0OEVLEyE+Ug1q/nzBQG6f0APzL8kwRWl6/jV9GBP7ZiGXJ88CuBBf6UYNp/eLnOj824k9yTKLasOJ5vL62V/nZHuljQP1TnyioosQJ+YMHRfeN4K83lYgtPbRfWgGU+8ZjjlNJLl2VUqlktGjR6NUhifXqtVqhg0bhkKhSMDIOi+TyUSPHj0ifhUVFUX8nmBAQvIFkHwBgknQnlnoItQGGHMzTH4KjL9cXxqzQv895tZQXOiajJkw5reRYwMvS67Euq4q4IOGfaE18vo94HUlekTHTBYMHr7fuONoamrCYrHQ2NiI2Zw8lTViwdHowe+VkCtk6C1qFAqR59bluephx1ew6MFQBSqFGgZeAuP/T2Q4J5qrHrZ8Cv+bCY4akMmh92Q46y9gLUj06IDO/XnZVp31Z+H3enE2NSAFJNRaHXqLJdFDEpKAr6yMqmeeoenTz8DvR5WXS+b9f8AwahQKc5JVl+livGVlVD32OLavvwZJQpGaSubdd2M8/TSUSfL321k/L9uqM/8cau0eHN4ACrmMNIMarUpMUnd1Do+fn/c38ODHG9hZ7UAug4l9M/nj2f0oShMTlYnk9PhZsaeeBz5aT2l9aBJqZHEKj08dRPfM5Ggt05k/L9uqs/4sfAGJapsHfyCIViUnUyTcCkBVk5t/f7eLecv34fIFSDWouXNiT84ZlEuq2AiaUJVNbp79ajvvrSzFG5AwqBXcMK4b00YXkW5MjsS2zvp52Vad+efgdvrwOv0gA61BhVpUpOvyAoEAVVVVLFy4kAMHDgBQUFDAOeecQ0ZGBvIEtr5yu93s3r2bkpIStF2wYnswGCTokwjUuwn+UjVOppKjSNEiU8njWjGutd9FZ/7MbItO+3OQJLBXhKoMKTVgzBYt8QRwVMPat0OVyVz1oDbCqBth5I2ian2i2ath1RxY8ix47aH8hSHT4NT7k6YqWFs+L0XylCB0JMEg2MrB6/ylx28mqMVOnYRb9x58eH348fRecNWCUOWwBBOfl4eIn4XQ1UhOJ/66OoI+H3KDAVWmaLuUaL6qKvZdcy3enTvDYrl/+xvmc89JihYG4vMyRPwchK6o2ubB5vahVMhJ1asxikWuhFuzr56pLywNa7eZalCz4Lax5KdEb50VL+Lz8hDxsxC6Go8vQLXdg9cvoVMpyDRrUYiKZAnV4PRyz/vrWLSpMix286nduWNiz6RInBeflyHi5yB0RU6nE5fLhUwmQ6vVotcn/nq2qydPSb4A/ioXYTcdMlBm6pHH8bwhkqeOTPwchC4nEAB7OfhcoNSGKpMpxWaNhPK54du/RW632essOP8F0KfGf1yHacvnpZgBFYSORCYDc26iR9HhBRwOZDIZ8ljckDWVw/8eihyr2Qa1u5IieUoQhK5LrtejToIJqA4t4AOfE1T6UPLycfLu2xcxcQqg6umn0Y8aiSpL7JgRBCFxMkwaMkzJUZGio3J5AwSCEkbN8Z83Gp1e/vr5lrA1DIA6h5cfttdw2UjRyl0QhMTRqBRJkcTZkQUCEk5fALVSjkZ5/IvTtXZvxMQpgDk/7OaKkYUUpIrfmSAIiaPX65MiYaojCwYlIAgcf1WoYDCI5PCFJ04RegnJ4UNmiW/1KUEQhBYUCrDkJ3oUHVswCB5baI1DFYPiLPZKWPZ85Ni2z0MVw5IgeaotYpo8tX//fh566CHmzJkTy6cVBEGICV9lJY7ly2n84ENkSgUpV1yBbtAglBnH0Q/X54SmA9HjB1ZC8dhjf35BEAQhcXxuaNgLK16Bip8hcwCMnAEpRcd1c+Fetz5qzF9RQdDVcXuCC4IgdHXVNjfrSht5bekefIEgFw7PZ2yPNHIsx37ecPoCrCttjBr/dls1l4woQC6qvAiCIHQ4ASlIab2TD1Yf4MedNeRZdVx7UgnFaQbMumNPwD3QEP2ewuOXaHT5KDjmZxcEQRASSZL8SJIHr7eGYNCPUmlGpbIglx9HBRYpSNATiBoOegIgBUEh7jkEQRA6pIb9sGUhbF4AWiuMvhky+4Mh7dif090Ifnf0eGMpZPQ+9udPgJgmT9XV1fHaa6+J5ClBEJKOr6KC/TfehGfr1uZjjiVLMZx4Irl//cuxJ1Ap1KFKJD5n5Li16NieVxAEQUgsSYJ9P8K8i0Dyh47tWwar58Jlb0H3iaA4tktpVV70KpIynQ7UotywIAhCR1Rtc3PfB+v5ektV87Efd9XSPcPIm9ePPOYEKqVcTpZZy+4aR8R4SbpBJE4JgiB0UNsqbVz0wlIc3tCC9Qrq+WhtGQ+f15+Lh+ej1xzbPUeKvvXEK7068S37BEEQhLaTJD9ebzVeb03zsUDAiddbg17fDYXiGCsIy2SgkINPihxXyEOPEQRBEDqe+j0w50ywVRw6tvVTGHEdTHgA9MeYQKU6QgXJDlZ1CtqYPLVgwYJW47t27TquwQiCILSHYDBI0xdftkicOsixdCmuDRswjR9/bE9uzIThV8Oy2eExtQFyhx3b8wqCIAiJZSuHD2ccSpw6SArAf26Em3445jLB2gEDkOn1BJ3hibfWSy5GmZ5+TM8rCIIgJNbmcluLxKmDdlbb+WhNGTeM64biGJKcMkwabjm1O/e8vy4sJpPB1GGibL0gCEJHVOfwct8H65oTp37tkYWbOLV3BkXHmDyVadaSn6KjtD68AtXY7mmkGsSGDUEQhI4oGPS1SJw6dNyP11uJVpuHTNb2BNmHH3mYj/7zH3765IeIcYVJhUxs2BAEQeh4fC749omWiVMHrXwFhl917MlThnQoOQV2fxsesxaCKfvYnjeB5G158Pnnn88FF1zA+eefH/Hr7rvvbq9xCoIgHLNAXR0N774bNV4/bx7SsbZIUmrgxNuh22HJVxozTP8PmKNXFxEEQRCSmLMm1JM7Eld99NhRUGVlUfjKy8iNxhbH9WPGkHbddchF5SlBEIQOx+MP8OayvVHjb/20j1q755iff3yfTC4f2bLBkloh5/krhpFr1R7z8wqCIAiJ0+D0Rm3LGpCCrD8QvWXrkWSZtcy9+gSyzC0rkPTMNPLXiwZh1Yt7DkEQhI7I72+KGvP5mggGI7feO/XUU5HJZMhkMrRaLf369WP27MM2hMtkKCzhlasUFg0yZZuWk1u48cYbUSgUvPfee8f8HIIgCMIxctbBhlY+fzd8eOzPrbPClOcgs2/L46YcuOK90P92MG3aupKTk8Ps2bOZMmVKxPjatWsZPnx4TAYmxJfL5sXe4KFqTxNao4qMAhMGqxqFUpRw7up8ngDOJi+1B2xIAUgvMKI3q1FrY9r1s30FgxBopV+3P0AwGDz25zfnwIUvh6qUVG4EQwak9wqdFI6xpZMgJDtJCmCvq6Vm/z5sNdVkFnfDnJGJwZqS6KEJScDZ2EBTbQ31ZaUYU9OwZmVjSjvG9qiJEoxSpvxo462QKZXoBg6k24KP8ezejb+2Fm2vXigzM1GmdrxStoJwtBpdPqptHlbvrUetlDO00EqGUXPM7WiEzsMbCFDV5GF7lR2by0+/XBPpRk3HWtgNgi8Q/Z4iIAU5jjsO0o0a7p/Ul+tO6saGskYMagV9ss1kmDRoVeK+Xei8yhtd7KlxsKvaQfcMI8XperKPsQWm0LnUO71UN3nYXNFEil5NtwwD2WYtSsWxL+7G25GmovytnFeORs8sEx/fOpa9tU4ONLgoSTeQl6Ij0ySSboXOy+ty4Wisp3zbVqSAn9zefdFbrGgNxiN/s9CpBYMSHk8FTucevN4aDIYeaDRZqNXHWG3jCBqdXmrsXprcPsw6FekGNZYY3N+0flfR+nljxowZPPLIIzidTl5//XVuvfVWUlJSuPzyy5sfIzeokOmUBH+piihTK5DJZcdcdcrpdPL2229z7733MmfOHC6++OJjeh5BaFe2SmjYB5UbQp0GMvqAOQ/kHee6Umgn7iawV0HF+lAxjax+YMwCVUe6Jw2Gd9f4tYDv+J7eWghXfgyN+6F2O1gKIaUYLHnH97wJ0qZZ6uHDh7Nq1aqoyVMymez4EhCEhHA0elj8xhb2bqhtPqZQypl000DyeltRionYLsvj8rF9RRXfv70NSfrlb1sGJ5xdzMBT89EZO8ZihiIlBfO551Lzz39GjFsvvhiF/gh9WY/EkB76yh54fM8jCB2AJAWo3LWDD/48E4/T0Xw8s6QHU37/AOb0DpYkI8RUU001/336cSp2bms+prdYueiPfyKjsDhxA2srQzpoLeCOsNtbbQRD5nE9vUypRJWbiypXVCgUuoZau4d/fLWd1388VJlHLoNHpgzgvCG5mLWqBI5OSCSPL8CPu2q56c1VuH2HElOnDs3jD5P7kmEK3/mcjDQqBZeeUMDireFt+wDOH5J73C2SLDoVFp2KHpli8U/oGnZW25n20nIqmtzNx/KsOt68fiQl6eLvoCuranIz8+MNfL6xsvmYQa3glatPYHhhCqrjqI4RTxa9ip6ZRrZX2cNiMhkMzrcc92tkW3Qi4VDoMtwOO5u++5pvXnuZ4K82PA2bPIVRF1yC3nz8f1NCxxQMSthsG1n78zX4fPXNx63WUfTv9zRabWzbCpU1uLjvg3V8v/1Qe71xPdP5y4WDyLUe32eySmnG6wmvhm6zObj77r+wcOEizGYz9957Lx9//DFDhgzhmWeeAUCv15OdHfq3zpo1i/nz57NgwYIWyVPNiVJKOS+//DJPPfUUu3fvpri4mNtvv51bbrkFgGuvvZaVK1eyYsUKNBoNXq+XUaNGMXDgQF5//fXm53vvvffo168f999/P7m5uezfv5+CgpYVdQUhoRr2w1uXhRKnDtJa4TcfQfZgkUDVlTlq4Idn4MdfrS0rVDBlNvSeDJoOck+qtULvc2Dzx5Hj/S84/tcwZYW+8kcc/3MlWJv+4u+55x5OPPHEqPEePXqwePHi4x6UED+BgMTG7w+0SJwCCPglPp29Dkf9sbcVEDq+xioX387feihxCiAIKxbuoWZ/+MROspIpFFgvOB9lhAVqTd++6EeIinmC0Bb2ulo+eKxl4hRA1e4dfD/vVbzuY2yDKXR4XpeTb15/qUXiFIQqUX3w2ExstTVRvjMJGXPgnGcixyY/GboZEAThqP20u65F4hSAFIQ/frSB/XXOBI1KSAbljW6uf21li8QpgA/XHOCT9WUdaoPW0EIrQwqsYcezzBouH1WIqgNVQxGERKu2ebjxjVUtEqcADjS4uGXe6uNqgyl0bP6AxFs/7WuROAXg8Aa4as5PlB/2nklm6UYNf7lwICpFeDWPm0/pTnoHSSAWhGTRUFHO4lf/3SJxCmD1px9Tvn1rgkYlJAO3u5w1a69qkTgF0NCwnN27/0EgELu5zEanNyxxCuC77TXc/8E6Gp3e43p+mUyNShWeCPjAA0+yfPkaFixYwKJFi/j+++9ZvXp1q8+l0+nweiOPZ968ecycOZM///nPbN68mccee4wHH3yQ1157DYBnn30Wh8PB/fff/8vrP0BDQwPPPfdci+d55ZVXmD59OhaLhUmTJvHqq68ew79aENqJxwZf/KFl4hSAuwHenAq2soQMS0gS+35smTgFoSpN/7khVKmso9AYYeKDoDGHx3qfA6nFcR9SMmvTzN3JJ5/MWWedFTVuMBg45ZRTmv+7tLQUSTr2liZC+3M1eVn3dWnEmCQF2be5Ls4j6iR87lC2ct1usIfvAugI/D6Jn/+3P2p85Wd78DhbKfOXZFS5uRS/+Qbpd9yBuqQETa+eZP3xAQr+9QKqLLEALghtUXegFI/DETG2ddn3OBsjVOoRjshl89JY7cJW68bnjd5qNJk5GxvZ8dOyiDFHfR1N1ZGrcSQlhRJ6ngEzvobekyClBHqcAdf9D/qcA4qOUX1REJJBncPL89/siBp//cc9+ALivrGtfAGJsgYXe2sdVHagheLDfbmpAr8UOUHqhW92UmXrOAkSWWYt/5o+nD+dP4A+2Sa6pRu487SefHjzieSnHGelW0HoYmrtHnZEqMYDsLncRq39+BYeu6pGl5f9dU5K653Y3MfZniFBqm0eXlmyO2LM45dYvqs2YixZDcyz8OntJ3PhsDwKU/WcUJzCq9ecwPUnd8MkKnMKwlHz+32s/jRKRQVg+X/exW23xXFEnUNQkvBVVuLdtw9fRQXBQAedr3LuwO+PPF9ZXvERXm/szh01dm9Y4tRB322voeY4r2HkciUaTQ46XSEKhQ65XI3Ho2H+/AU88cSTTJw4kQEDBjB37lwCUX5fgUCAN998k3Xr1jFhwoSIj3nooYd46qmnmDp1KiUlJUydOpW77rqLF198EQCj0cibb77J888/z8yZM3nmmWd44403MJsPLc5v376dZcuWcemllwIwffp05s6d26E2yAidnKMatnwSOeasC63xCm3nsYeSi+r3hH6OHZGzFr57InIsGISVc0HqQOfE1O5w43cw+hZI7Qa5Q+HCl+Gcp8EgOsn8Wpva9rVVv379WLt2Ld26dWvPlxGOgyQFW02AsdV23En4hGkshW+fgHVvgd8DmX1h0l8hd3jHKeFHqPqYrS7679/R4CHgC9DOHyMxpcrNJf2GGaRcfBHIZChSU5HJjq1XtyB0Zfb66Be8QUki4BMLGW3h8wSo3m/j+3e2UbPfjlwpo+cJWYw8pxvmNG2ih9cmPq8nbIfnrzka6qPGkpLGCHnDYepL4HWCWg8aU6JHJQgdji8gUd1KAkxZgxt/IIjoFn70qprcvLlsH3OX7Mbm8ZOfouPeM/swrmc61uNsDRdvu2uiVx6rsnkIREmsSlbZFi3TRxcxaUA2UjBIql6NQlScEoQ2c/pan4g+UlxoyR+Q2FFlZ9Z/N7JsVx0yGUzok8kDk/vSLaPjzFUB+KUgTa7oc5l7ajtWRUu1UkHPLBN/umAAdncAtVKORSeSpgShrSSfr9Vq146GegL+jrMROBn46+po+uILap6fTaCmBkVKCmk33IDlvHNRpqUlenht4vZURI0Fg14kKXbrYE1HSE6ORfKyXK5CLregUBiAIDt2bMDn8zFq1Kjmx1gsFnr37t3i+2bPns3LL7+M1+tFoVBw1113cfPNN4c9v8PhYOfOnVx33XXMmDGj+bjf78diOVT1asyYMfz+97/n0Ucf5b777uOkk05q8Txz5szhzDPPJD09HYDJkydz3XXX8fXXXzNx4sTj/jkIwnHzuaGVuWzsHWgjcLKo2wWLHoKtn4SSiwpGweQnIKMvKDvQfJXfC02tVB6r3xWqQiXvIJOZcjmklsBps+Cku0CuBH1qokeVlNo160FkDx9SYw9N+pq0SvTq5Ek2UaoVpOYaqCuLXEEkr5c1vgPq6GwVMO8SqNp46FjVZnjtPLhqIZScnLix2asg4AW56qhaDanUcnJ6WinfGXlHRlaJGZUutu9lX00N+P3INBqUKSkxfe6DZAoFyl8u1gUhmfm9Htx2OzKFAoPFmujhtJBRVBw1pjOZUelEZYW2qC2z89FTqzl42ST5g2z9sYKKnY2cf9dQjCmJSaAK+AK47D6CQdDolai1R/7MV+v0qLQ6fFFaN6bkhLdPPS4+N7h+SebTp4GyndpaaEwiaUroEOodXjx+CaNGifEo/mbjxahRMrwohU/XR56wPrlnOlqVSC45WvUOLzM/3tCiXVFpvYvb317D4xcM5JIR+QlL1ql3enF5AyjkMjKMGuTyI29UOLF7Gm/9FLnceb8cM1plbP8tdQ4vHl8ApUJORju2Q0ozilZLQvLzBQLUOXzICL1nFUfxNxsvaQY1clmoxevhFHIZKXqRXNIW++qcXDB7Ka5fks6CQfhqcxWr9tbz39tOoiA1MfdwgYBEtd2LFAxiUCuw6I+8oKJRySlO00dNkjqhOLbzSf6ARK3di0QQs1aFQdM+11g6lRKdKnmu3wQhKlcD+Fyg0oHOmujRNFNptBQNGkrp5g0R43l9+qEW81VHTXK7qXtzHrWzZzcfC9TXU/XXv+IrLyfjjttRGAwJGZvb6cDnCs076S1WFMojf3YaDb2jxlSq1F+SkGLDfISqgbGsKiiXh/7tMtnR3TNNmzaNBx54AJ1OR05ODnJ55O+z20PVP1966aUWCVkACsWhRAFJkliyZAkKhYIdO1pWmw4EArz22mtUVFSg/NXvKBAIMGfOHJE81YVIUpAah4dgEFL0KtTKJEo20ZhAaw216Ysko1c8R9PxNeyHOWeB/Vfttfcvh1dOhxu/h4zon8XtKhgMjUnyg1ILhqNYIz64qXrb55HjJafEdi2ieYwBUBtBF96eNSaUGjBmts9zdxLijqydVdvcLN5SzUvf76LB5eOkHuncOr4HxWl6lEmw+1RvUnPSRT1Y8OzPYTFzuo60vI61+yzhara1TJz6tc/vh998fHQfyrHkqoe9S+Grh6F6K6QUwyl/gJ6ntToWuUJOvxNzWPf1fvzelpnXcrmM4WcWoVLH5iLHX1eHY+lSap5/Ht+BMjS9epH5u9+hHdAfhUksVgtdiyQFaKys4KeP32f32lVodHqGTTqP7ieMxpiSHJngxtR0cnv3pWzr5rDYSZddibGdkh87I7fDx9IPdhAp37yxykXNfntCkqdsdW7WLtrH5qXl+H0SRQPTGHN+d6yZOuStXL8YU1IZOeUilrzzRlgsv98ADLF8D9fvgSX/gPXvg0wGAy6GsbdDSlHsXkMQOoh6h4dVe+t59usdlDe4GZhn5q4zetM9w5AUGzcMGiV3TOzJlxsrw9qzWXQqJg3IEdVA26Da7mmROPVrf/1iC6f0ziDXqovrmBweP5vLm/jzp5tZu7+BdIOG608u4YJheWSaWj+PDS9KIdOkidie74HJfUmNURJSk8vHutIG/vL5FrZX2slP0XPnaT0Z2yONVINIdBK6ntJ6J2/+uJePfy5DIZdx6YgCLhyeH/fPj2jSjGouHVHAWyv2h8WmjyokQyQoHjWPP8CcH3Y3J079WoPTxyfryrlhXLejSniNpcomN++u2M+cJbtpcPkYWZzCHyb3o3e2CV0r5SgzTVr+b3JfbnhjVVgsP0VHn2xzhO86NuWNLt5cto+3ftqHyxtgYt9M7jqtF8XphqRKNhSEuHA3QeUGWPwY1GwNtX859Q+QMzgpkqhkcjl9xp7Cyv9+iMfZcqO4XKFk5PkXo9KIc8fR8ldXU/fSSxFj9fPmkTp9WtyTp/x+P/VlpXw3by57f16DSqtl0GlnMWzSeZjSWl9z0WrzMBr7YbdvCot1K7kDjSY2C8lBSSJNK2dczzS+2x7eCnBcz3TSjbGvvNKtWzdUKhUrVqygsLAQgMbGRrZt28a4ceOaH2exWOjRo8cRny8rK4vc3Fx27drFtGnToj7uiSeeYMuWLXz77beceeaZzJ07l2uuuQaATz/9FJvNxpo1a1okXG3YsIFrrrmGhoYGrFbrMf6LhY6iotHFR2vLmL98H16/xOSB2Vw9toTCBCXuhzHlhM5ln98XHis5JRQXjt6ORS0Tpw7ye0Idm877B6jjnHhrr4YtC+H7J0Odo7IGwOkPQ94JrScoaUyh98b2L8Ork2kt0O+80JpELNgqYeMHsPS5ULvAwjGhMab3CiWrC3GV+OydTqzW7uH//rOeez9Yx/YqO9U2D/9Zc4Czn/2e7VX2RA+vWWaJhck3D8T0S2sgmQxKhqQz5c4hCat20WHt/CZ6rHIDeCNX+Go3AV9oUfntK0KJUxBabP7oRlg2O9R3thWmNC1Tfz+M9PxDSXTWLD1T7hqKJSM2H9gBh4PaOXMp+/09eHfvIej14t6wgX3XXIP92287bB91QThW9eVlvHH/nWxYvAhHfR11ZaX875XZfP7800nT8sxgsXLOnfcxYPzpzbu79BYrp9/wW3qOGou8o5QqTQI+TyBqhT+APRuil5xvL/Z6Nx8/s4Z1i0vxeQIEpSB7fq7hvcdX0FgduaLUQQqlkkGnncVJl1/VvKNTrlDQ9+TxTL7t9+jNMdox0bAPXjkDVs4BTxO4G2HlyzDnzNAOF0HoQuxuHy9/v4frX1/FutJGqu0evt5azZTnfmDFnuQ4bwAUpxl4+4bR9Mo6dF05qiSF928aQ36KmAhoix2V0a/hG5y+I7aJaA+r9tZz0b9+ZM2+BoLBUILX459t4YH/rKfOEb1lI0CuVcc7N45mdLdDCbbZZi3/mj6MgfmxOW8EAhJfbqpk+is/seFAEx6/xM5qO799aw1zl+zB6REtXISupbTeyYUvLOVf3+2ivNFNab2LpxZtY/rLyylvbP16L16MGhV3n9GL28Z3x/DLxi3jL8m4v53QE307Vf/pjJpcPr7fEf2+4qstlTi88f0crLF5uOudNTy1aBv1zlC12+W765k6ewkbD0S/PzpoVLdU/n7pkOYkOpkMxvXKYP6M0WRbYjOXWdHo5uq5P/H84h3UOby4fAEWrivn3Od+YG9tnOf3BCHRAj7Y8gnMnQR7vg91ONj3I7x+Hmx4H3ytX+/FiyUjk8se+Ru5vfs1H8soKuGyh/9KSpZYAG+LQEMDQV+U+4pAAH9NeGJQe6svK2XeH+5kz9pVBIMSXpeTlf/9kA//Mgt7Xevj0WgyGDzoRTIzJ3FwWVSptNCr50wyMycjk8VmLlNyudCU7uHxs3szrkfL1objeqbz1wsHHVWVxbYymUxcddVV3HPPPSxevJiNGzdy3XXXIZfLj3mj0sMPP8zjjz/Os88+y7Zt21i/fj1z587l6aefBmDNmjXMnDmTl19+mbFjx/L0009zxx13sGvXLgBeeeUVzj77bAYPHsyAAQOavy655BKsVivz5s2L2b9fSE4VjW6ufXUFf/lsC/vqnFQ0uZmzZA/nP7+EfXVJ0mZZoYRBF8PZT4e6GkCoMs/wa+CCf8W/GEZH5nOHkpSi2fNtKBE7ntyN8O3jsPDOUOIUhNbq37wQtn8eqvLUmvRecOV/IKXk0LG8YXDNZ2CN0QZuRw3893b4/A/QdAD8bti1GF4aD+XrYvMaQpuImYZ2VFrvYtGm8H6oHr/Enz7ZxOxpw5Oih71Gp6RkcAaZRWa8bj9yhRydUYU6xi3ZugRzdvSY2hD/3qe2CvjfrMixJf+AYb8JlR6MQq6Qk1Fo5rw7huB2hCaztHolekvsdukEamupmzMnYqzyz4+hHz4cVY64uRW6Bq/LyQ9vvRax5dne9WupLy/DYE2Oqk6m1HQmXHMTo6deRsDnRaXVYUxJRRal3LMQmUwmQ6NX4nFEXqwwWOOfxFy+o5HGqvD3oN8rseqzPZxyRW9UrSxW6c0WRpx7AX3HnoLX7UKp1qC3WFFrY/RvCQTg53ci72KxlcPGD2HMb0N9vAWhC6ixe5n97Y6w41IQHvjPej64+USyzInfEKFRKRhRnMr8GaNpcvmQy2VYdSqs7TBx3NmlGFq/h9TEuQR+lc3NzI8jt0dZtKmKu073HLGyU0m6kX9NH06904cvIGHWKskya2NWkazS5uGRhZErBM/+ZicXD8+nUCRiCF2EPyDx3spSKpvCF7p31Tj4YXsNF48oSMDIwmWYtNxxWk8uG1mI2yehU8nJNGtRJUEl945EpZCTqlezN0qbu3SjJu4/0/31TpburAs7LgXhoQUbeeO6ka2eOyw6NVMG5zK6Wyo2tx+1Qk6qQY05hvOs60ob2FoRnrDs9AZ49uvtPHbBwKSo8CkIcWGrgM/ujRz78o/Q8wywFsZ3TBHI5HLSC4o4/54HcTtsBKUgWoMBvcWa6KF1ODJN6/eQcl187zE9Tgffz3+VgD98/qxm3x6q9u7GmJoW4TsP0Wpz6dvnL3Tvdg+S5EWpNKBWZ8VsE2jQ78dfVgaSRGpdOU+fWUjDWT2xeQKYNArSzTqs5vbbOPT0009z0003cc4552A2m7n33nvZv38/2mOcj7v++uvR6/U88cQT3HPPPRgMBgYOHMidd96J2+1m+vTpXH311Zx77rkA3HDDDXzyySdceeWVfPjhh3zyySfMnz8/7HnlcjkXXHABr7zyCrfeeutx/ZuF5LZmXz2bym1hx+scXl5bupv7zuqTHC389Gkw/GrodRb4HKD4pa2ZqPjTNnIlGFtZI9enhZLV4slRHdp8Hcnnf4Cik8CSF/371Xrodipc+3mobbFcAfrUQ4l2sdBYGrk1oBSAz+6B6R+KJL44a9d3aVdvvfD1lvDEqYOW7KjF5vIlRfLUQQarBgPHnxTjl/zUuGrwBrxoFBoy9Zld573Q/TSQycNL+AEMuxoMce4j6qwBb5Sd6ZIfmspCbfyOQGdSozO1z8KWd+8+kCL8vAj1UQ80NIjkKaHL8Did7Fz1U9T41h+/I79v/ziOqHUqjQZLZlZsnszVCO5fKqRoU9qvp3OS0ZtVDJ5QwE//3R0elEGPYRlxHY/kl9i+MnIrKIC9G+rwuAKtJk8BKBRKzBntdM5zN8Dmj6PHN/4Hhv4G9MmRaCgI7W1rpS1i608IbeZodPqSInnqoHSjhvQYtFoKBoNUNnnw+AOoFHIyTZqkaIseD4VpBsw6JU2u8IWDk3umk2aIb0Ka3e1nT5QFeYBVe+vol3PkFkpWvbrdkunqnd6IPy+AgBSktN5FYVqcS8cLQoI0OH389+eyqPEPVpcyaUAORm1yJIWoFAryU2LT1sPh8VPv9BKQgpi0yi7TstOqV3PTqd25MUKbO4DrTipB20qbvPbww/bolbA2ljVhdwdIPcLHslwuI8eiI6cdbh0lKchHaw9EjX+9uYqms3wieUroOpw1oarPkfhcoXYzSZA8dZDOZEJnMsXkuRyNHvyeQGjDuUWNUtk17jmUaamoe/TAuyN8o44qLw9FWgwXjo+C1+Vi77q1UePblv1At6Ejjvg8SqURpTL6ZvLjEQwEkDy/JKdLEobGOppPZS5QaXOA9mtVZjKZWlRzcjgcPPzww9xwww0AfPPNN61+/6xZs5g1a1aLY1dccQVXXHFFxMdv3Bi+OeXjjw/N1/miVS4DZs+e3epYhI7P65d4b1Vp1PjCdeXcMK47WeYkSJ6CUFJMa0k0beF3h1rFST5QGcAUo/WTZKdQwsgbYG2UqnIn3gGG+K51ULOdqJOmztrQetTR/N5N2aGv9rD72+ix8p9D118ieSqu2vUOLxjtDdlFtDbxoJTLkMk7X0JRjauGD7Z9wOubXqfJ20SmPpNbh9zK+ILxpGi7wCKmOQcufhXev6Zlub+8EXDibaCM8856xREmApWJX0iTHWGXikwlqhEIXYtCpcLviVzuXKXphLsdJAlqtoYy/XctDh3rNh7O+kuoLGonrx4kV8jpNzaXA1vrObCt4VBABhOv6ovBGt8FHZlchkYfPbFbrVPErJX3MZMrQNXKZJPaENrpIghdhOYIk/fyTnjPUefw8OWmSp7+chtVNg9mnZIZJ3fjshMKyDAl/vq2vWWbtbx69Uimvbwcl+/QPUdBqo4/XzAwplU3joZSIUcuC1ULicSiTfz1vPII1xPxThoQhESSy0HdyrlDrZCj6ITnjn11Tv72+RY+21BBQAoyKN/CI+f1p2+OGU0X+AwYUZTCxSPyeW9ly0WsW8f3oEdm+ywit8baSqJv6D0Yx8FEIJOBWRv9fKpXK7vORlFBgCN3U4h3t4U48Dh9lO9s5If3ttNY5UKpktN3bC7DzizEmNL57zmUaWnk/+MZ9v7mKgK1h1riKaxW8mc/jyozvpvEQ5Xb9bhskZP4dKYjb9Zod0c6L7TzyW3NmjVs2bKFkSNH0tjYyCOPPALAlClT2vV1BSESmQy0rd1zKOWJn2NuD01l8P3TsOaNUBJVWg8483EoHA3aJPicam8pxTBxFnw1q+Xx/lOhx8T4j0dzhERqeeLnq9C08r6QK0Am1jnirc0/8T179rBo0SK8Xi+nnHIKAwYMiPrYTZs2kZube1wD7MhO65vJXz/fEjF29qAcUpKo6lQsNHma+Puqv7Ng54LmY1XOKh5a+hBNI5qY1mcaKkXn+jeHUelCZYpvWwW7vwv1fy85GVK7hco8xps+HdJ7hrJrD2fIAGPiM57VubnIjUYke3iFLE2vXihSrPEflCAkiM5kpv+4ify86NOI8T5jx8V5RHHQsBdeOR08vyrhu2tx6NiN30FqSfTv7SQMVg1nXN+fplo3pZvr0BrV5PdJwWBRH7HCU6zJ5DIGnJLLlh/LI8YHji9Ab07wTYXOCqNvgf3LI8dH3wLa2OwwFYSOoEeGEY1SjscfXsmzf66ZlFYSIjsirz/AeytLefyzQ/dZTS4/T325jX21Th48p1/ck4fiTSGXMSjfwpd3jWPNvnr21DoZUmClV5aJbEv8F3JS9WpO65vFl5vCKxcq5TKGFFrjPqbDpRrUdM8wsrM6/J7DolMl5OcmCImSatBw5ZgiHvhP5HabV59YjE7duRbByxpcXPbij5Q1upuPrStt5KJ//ciC206iX27nX8hIM2r4v0l9uXZsCd9urUapkHFq7wwyTdqEnDdP7pGOTBZ5I/iUIbmkGhN7zyGTybh8ZCFvr9gfMT59dGFMKmkKQoehTwdzbmhROCyWmhRzzLFWtqOBT2evb/5vv09i/TelVO1tYvLNgxI/NxIHmu7dKXn/PdybN+PesgVNj57oBvRHmYAuETqLlcFnTGbZB29HjPc7eUKcRxROplCgMJsJNEVO8JLr26/q1EFPPvkkW7duRa1WM3z4cL7//nvS00XFEiH+VAo5V44p4tMNFRHj00cVkd7ZqsDaq+CdK+HAykPHanfA/Ivhineh15mJG1u86KxwwnXQ9xzY8b9Qdcoep4E5DwzxrVgIgLUolJwUqXpm7rDYtt87ViXjiHpj1Pe8xPzcurg2pTovXryY/v37c+ONN/Lb3/6WYcOG8eabb0Z9fEFBAQpF55pwaYsss5Y7T+sZ4biG353RG32cF0TbW527rkXi1K+9sPYFql3VcR5Rgqh0ocX+4VfBKfeEMooTkTgFYMqEi14FrbXlcZUOLpsPpsS3w1NmZpL3j3+AquVkndxsJveJv6GMcwlgQUgkpVrNCVMuwpwRPuk0/JwLMKfHuaxpewv4YNWrLROnDvI0werXQ4/pAvRmDdklFkZMLmHAuDysmfq4J04dZMnQM+zMorDjuT2t9ByeJK14C8dAr0nhx/ueB/knxH88gpBA6SYNT1w8OGzHnlGj5ImLBpPWyRb2qmwe/vFVhI0BwPurS6l1eOM8osRQKuQUpOo5b0get0/sybheGQlLADJqlTxwdl/yrC0rZMpl8M/Lh5JpSvx7MMOk4dnLh2A67NyqVsh5YdqwpBijIMTTaX2zGBohsXFin0wG5ocf7+h+2l3XInHqIL8U5Mkvt2Bzd417jhSDmr45Zm46tTvXn9yNHpmmhCUcZ5o0PHFR+PVLSbqBO0/rhU6V+DnTwjQ9M04O38wzMM/MRcMLOmWFNkGIypQDF74CisMShuRKuHBO+7WySRBHo4cl74W3qwOo3N1EU40rziNKHFVODqYJE8i45RbMZ5yOKjc3IfNCCoWCQRPPIqtb+HrbyVdcjSkJEoRkCgXKrCxkqvBzqyovL+LxWBo6dCirVq3CbrdTV1fHokWLGDhwYLu+piC0pmeWiSmDwwus9MsxMWVIbuerlF6/p2Xi1K99fn+oxW1XoDWHinqMvhlOvhtyBiUuAciUA5e+GX79YkiHC/6VHIlJpiw459nw45YCOG1WqMuGEFdtuhN98MEHOf3003nhhRfQarX88Y9/5N5772X69OntNb4OzaxTcfWJxYzvncnry/ZSa/NwZv9sxvVKJy+l/bPM463UHr1/rdPvpMnbRC5dtxJZwmT1h5u+h93fh6p0ZA+EHqeDJT8p2mHJlEr0J4yg+8L/0vT557i3bsUwahSGk05C1YUr1wldlyUjk0tn/YX9G9exZel3aI0mhp55Nik5eWiNnayajrsptAMhmp1fhVqeJsMOgC5Ea1Ax9IxCeo7IZNuKSrzuAD1HZGLN0mOwJMnisikLzns2tHtn7TxADkOuCJVCNnayJENBOAKtSsFpfTL5/I6Tmb98H3tqnYwuSeXswbnkWztfu9cGpw+nNxAxFgxCab2TknQxsRBvRWkG3r9pDGtLG/huWw0FKTrOGpBNjkWbNC3x+mab+fSOk/lmaxXLd9fRP8fMpIE55Fq1KBPdH0oQ4izLrOVf04ezrrSRt1fsQyGXceXoIvpkm8noZMmEkhTki42Rd7wDLN9Vh93jx9RKizYh9vQaJZP6ZzO0wMon68sob/QwsW8mA3LNZFuS4/olRa/mllN7cN7gXN5bWUqTx88FQ3Lpm2Mm0ywqFgpdjEwG+SPglmWwdj6Ur4HMATDsSrAWdrq2fT5PgMbq6AlSFbsaye5mieOIBABTWjrn3/sgtaX72LZsCVqjiT5jx2FOy0BjSI57QLlGg7qkBMnpRLLZkKnUKKwWZCoVsiRYixGEeEo3anjw3H5cPrKQ13/cg8snccmIfIYWpnTO6s/7foweq9sFXjvQ+So1JjWFMrQJ+9afYOtnUL0FisdC4YlgLUj06ELURhgwFQpOgJ/fgcb90GcyFIwKreMLcdem5KkNGzawdOlScn4py/nEE0/w4osvUltbS5qoDhORVa/Gqlfz1zwz/kDwuCeOg8EgnoAHpVyJUp74XVi/ZlK3vqivUXSuCbgOQyYL3cQOnRb6SkJytRp1URHpN96Y6KEAILnd+Gtq8GzZiuRyoe3fD2VaGgqLuCkW4sOcnkH/UybS+8STkcvlyBXH93kf9PsJ+v3ItUl2U6LUtJ4YpUsFce5ICK1BhdagIr0giRP2jJmhr6ITEz2SEEcN2MqhYkNoXOm9Qm0NOtkkspCc9BolvbPNzDy3P75AAI1Scdy7gd0+Pwq5HFWSJZVoVa2PxywWvxMmx6ojx6pj0oDEV7eNRC6XUZCq58oxxVw5pjjRw8EfkKhscrOj2k6t3UvfHDNZZg2pna11gZC0ssxaTu+n5ZReocRztfL4Pu8DAQmvJKGNwTkoluRyGTmtLM6kGNSiglCCGLRKumuN3D6xV6KHElWKQU2KQZ00FdkanF5q7F7WH2jAqFHSJ9tMpkmDJkkSlYVOTqGGtO4w/gEIeELzNceZDOLxB5AhO+5zUKzJFTLkShmSP0ILHegSLfuSlTElFWNKKkUDhyR6KFHJ1WrkajVYrYkeCgABv4+Az0/A70OhUqNQKlEok2ttUei80o0a0o0ahhWlECSIRnmc1yySBH53aF0h2eZcja1UYVRqQCHmqxJCqQ51ixpzS6JHEp3GCJl94fRZiR5JiMceakNZ/nPov3MHgyEzNM4uoE1nyKamphb9cfV6PTqdjsbGRpE8dQRKuZzjuQcIBoMcsB9g0d5F/Fj+I3mGPC7tcyn5xnyM6uR4s2bps0jTplHrrg2LDU4fTIomJQGjEoS2kZxObN9+R/m99xL0HSrdb730UjJu/61oIyjElVJ1fJMx/sZGfHv2UDdvPoG6Wkynn47x5JOTp6qbxghj74Dd30aOj72jy1yQCR1cUzn858aW72WNGaa/D7nDQ7tcBCEOFHIZiuPcYFHW4OKH7TV8sr4ci07Jb8YU0z3DSIohORYIUg0ahhRYWbu/ISyWadKQaRaJJ0Ly8wck1uxr4JpXV2D3+JuPj+uZzhMXDyZLVDQR4uh4F6wdHj/76528+eNe9tY5GdMtjXMG5ZKfokuaVhyXnFDAnCV7IsZmnNyNjE7W4lbonGpsHp74YivvrNzffEytkPPs5UM4pVcGOrW45xDiRC4H+fFViKtsdLNmfwPvrNiPSiFj+ugi+uaYyDAlxzWQ3qSm18hstiwtD4vJlTKyRNUpoYPweT3Ul5ch+Q/dcyjVaqzZuSjbuY2gIPzacSfJ+r3QuA/WzIPytZD1S/VDSyGokuPcQeHoUKJxwBseG3QZGES3BKEDcNbDqrnw9aMQlELHZHI47WEY9hvQWRM6vHho813VF198geVX1VckSeKrr75iw4YNzcfOO++82IxOaLazYSdXfX4VTd6m5mPvb3+fWWNmMblkMjpV4ktaZ+mzmD1xNtd9eR12n735eLYhmz+f/GesWmviBicIR8lXXk7Z3XeH+r78SsM776AbMgTrBecnZmCC0EaBpibqXnuN2tkvNB9z/LAEZVYWRW++gbogScqS5gyGUTfD8hdaHh9zK2QPSsyYBKEt/B744e/hSYCeJnjjglBbA2thYsYmCG1UWu/ksn8vo7T+UIuKBT+Xc/1JJdw2oQdWfeITqFINav5+6WCueGk55Y3u5uNmrZI5V59Atkg6ETqA8kY3v5nzEy5fyxaU322v4eXvd3HPmb1RH++OXEGIA7cvwKJNldz5ztrmY99vr2H2Nzt598Yx9Ms1J25wv5Jn1fHolP7MXLCxxa3+xD6ZTBqYnVSVsgQhmq+2VLZInALwBiRumbeaRXedQvdMsfFI6BgqGl3c+MYqfi5tbD725aZKTuubyeNTByVF+1ilWsHIc0qo3mejtvTQOodcKWPyzYMwWhN/XyQIRxLw+2k4LHEKwO/10lRThTUzG7lC3HMIHUAwCKUr4I3zDyUm7fwals2Gae9DybjkqEJlyobL3oK3L4PAocIMZA+CU+6DJFjHF4QjqtoEXz3c8lhQgkUPQsHIUJJgJ9fm5Kmrrroq7NiNv2q1JZPJCAQCYY8Rjl2Du4FZP85qkTh10KPLHmVkzkgKVIlfBJfJZPRJ68MH533AxpqN7G7aTb/UfvRM6UmWQfRxFTqGxg//E5Y4dVDtv/+N4eSTUP2qAp8gJCtfZWWLxKmD/JWVVP/zOXIenoVclwQX7IZ0OPU+GH4V7Pgq1Gq0+4TQzYZOVCwUOgB7Jax5PXLM64CytSJ5SugQ3L4AsxfvbJE4ddDLP+xm6rC8pEieAihJN/LhLSeytcLGhgONdM8wMjDfQq5FJxbAhQ5h7f6GsMSpg+Yt38fVJxaTl6KP86gEoe2qbR7ufX9d2HG7x8897//MG9eNTIpWlCatiqnD8jmpZwY/7KjB7vZxUs8Mci1a0kTVKaEDqLZ5eH7xzogxKQgfrz3A3Wf0jvOoBOHYLNpU2SJx6qD/ba5i2oFGxvfJTMCowplStZz728E0Vrko39GAwaohp6cVo0WNQiS5Cx2A5PcTOCxx6iCv04kUCIjkKaFjsJXDB9eGV3SS/KHjN/4AlrzEjO3XlBooORluWwl7l0BTBRSdGGoZZ2qlpZ8gJAuPPbRJPJol/4DsgaA2xG9MCdCm5ClJktprHEIrGr2N/Fz9c8RYIBhgU80mCkyJT54CkMvk5BpzyTUmSUsoQWiDoCTh3b8vatxfVQVRbjgEIdnYv/46aqzp00/JuPMO1MmQPAWhJCldSqivsyB0NAEv+MKTTZo17o8eE4QkUu/w8sHq0qjxhevK6ZebPO0pciw6ciw6Tu2dHIsrgtAWpfXOqDGnN4AvEHkzhyAkm+2VNryByHOFG8uaqHf4kiJ5CsCgUVKiUVKS3rkneoXOyS9JVDa5o8Z31TjiOBpBOHa1dg9vLos+9/rq0j2M7paGTp0cCR0GiwaDRUNuT2uihyIIbSZJrRe5CEbZQC4IScdRA7aKyDFnHTiqkiN5CkIJVCnFoS9B6Gj8brCVRY83HQg9ppMnTx1nk9GWJEli4cKFsXxKAZCCrSeteSRPnEbSAQWD4GoET8ebRAgGg1Q2uilrcFFrF7/jeJDJ5RjGjo0a1w4ciFwvdoALHYPkjj6xit8ftcKaAH6fhNvpI+DveJU0vW4XttpqbDXV+Dzi3BEXKj2YW0kazx0av7EIwnEIAn4p+rkhWpUcIcTm9mFz+478wCRUbfNQ1uCiqpVFWSG2hhZEr66ZZ9UlzYKhIBxJtMSpgwLiniMqXyBAo8uHpwOeXz3+AOUNLsoaXB323NfR6FQKBuVHT2I/pVdGHEcjCMdOCgZbPXd4/dIR10K6Mq/Hj8fp65BJLwGHD3+DG3+jh2Ar951C7CiU0WtnyGQyZPKWy8OzZs1iyJAh7TwqQTgGwSNcLx8hUbBLCwTA1QDe6Bu4kpU/IFHRGLrnaHB6j/wNwvHTmKBgTPR44RhQm+I3ngRpc9u+SHbs2MGcOXN49dVXqa6uxucTN86xZFKbKLGUsLtxd8T4wPSBcR5RB9FYCls/hfXvhxY2R90EecPAmPy702tsbj5ZX8Hzi3dQZfPQO8vE/03uw9DCFMw6VaKH16kZTjoJRUoKgfr6lgGZjMy77kJhNidmYILQRqYJE6h94V8RY/qxY8V7OQKvx09TlYu1X+2nodJJZpGZgafmYU7TolAl9yJmMBikvryMpe++yfafloZa6Y49hTEXXo4lS5QFblemHJg4C/5zQ3gsoy+kdov7kAThWJi1Kib2yeTLTZUR42cPzInziDqGyiY3y3bVMn95aAf9ZSMLGNMtjWxLklR3bEW9w8uPO2t54sut7K5xkJ+i487TejK+d6ZoY9XOSjIMdM8wsLM6fJPPfZP6kGXWJmBUgtB2fbLNyGSR92Xkp+iwiPmLMN5AgP11Lt78cS9r9zdQlKbn+pO7UZxuwKiJyTRtuyqtd/Kvb3by/upSvH6JCX0yue+sPpSkG1AqYrpHV/gVq17N/ZP6ctG/lob9vaUb1ZzYPS0xAxOENkrRqzlvcC7/+Gp7xPjFI/IxaMS543DOJg9Ve22s+7oUn8dPjxFZdBuSgSk1+a8ZJY8f7wE7jZ/sxnfAjtygwjguD8OwLBSm5GgL31nJFUo0egMeZ+ieY+oV0/nxp58A0Gg0dOvWjdtuu41bbrml3cYgk8ma/79CoSA3N5eLLrqIxx9/HI1G3HMKR0mfDhozeJrCYyp9h1jzjbtgEBr2ws/vwI4vwZAJY24Ldf7QpyZ6dEdU0ehm3vK9vPbjHppcfkYUp/DHs/vRO9uELsnXaTo0pQZG3wRr3wD/YRvzlVoYOQOUnf/cfcx3tS6Xi9dff51x48bRu3dvli5dysyZMyktjd7qQTg26bp0Zo6eiUIW/oEwve900rTiBjlMw36YOwk+vQf2L4ddi+GtS+GT34G9KtGja1Wjy8eTX2zjoQUbqbKFPpy2Vtq4au4KvtpShSR2ZrQrdV4eRfPeRDdiRPMxVX4+Bf/+N5qePRI4MkFoG1VeHsbTTgs7LtNqybrvXhSmzp8h3hYBf4A962p5588r2LqsgsrdTaz/ppS3H/2Jit0RbsySTGNVBfP/eDdbf/weKRAg4Pez8duveGvmPTRVJ/d5r8OTyaDn6XDec2BI/+WYHPqeC9PeEz3thQ7DqFVy71l9MESoeDOuVzrFaZ27JPOxqGh0c+Mbq7jj7bUs313H8t113PXOz8x4fSUVjcldxcnrD/DB6lJumb+a3b+0+imtd/H799Yxd8lunB7Rqro9ZZm1vHbtSM7sn438l/WEdKOaJy4axLie6YkdnCC0QbpRzS2nhN8ny2Xw+NSBIhEwgp/3NzLpme+Zu3QPa/Y38NHaMs755w98ubEi6atQlTW4uPylZby5fB9un4QUhP9truK855awr67j7WbvaPpkm5h79QnkpxxK0B5Vkso7N44hL0VUSRc6BqVCzsUj8skyhydN9Mg0MkYkAoZx2rx8/952Pnl+Hfs311Gxq4kf3t3Oh0+soqnGlejhHZFndxM1/16P74AdAMnho+mzPdT/ZwcBRycvwuCqh5ptULoSaraH/juO5AoF5oxMdGZLcxLT9MsuZcfmTaxft45LLrmEW2+9lbfeeqtdxzF37lzKy8vZvXs3s2fP5o033uBPf/pTu76m0MmYsmHyE5FjZz4Gxqz4jqcjqNkGL54C3zwW+gza+im8Ohl+fD7UrSmJVdvc/Hb+av759Q6aXKG5qZV76pk6ewmbypJ/nabDsxbD1Z9BZr9Dx7IGwDWfhWJdQJu3NK1YsYKXX36Zt99+m+7duzNt2jSWLl3K7Nmz6dev35GfQDgmA9IH8O457zL759msq15Hhi6DGYNmMCxrGGaNqB7Sgt8Ly1+Ehgj90zcvCFWgSuJM5Bq7h7dX7o8Y+9PCTYwuSSXHmvw72TsyTbdu5D//HFJDA0GfD7nFgipDlEAXOhZlairZD83EMWECdXPnEmhsRD92LOk3zEBdUJDo4SUdR6OXxW9sDjsuBYJ89epmpt47DKM1ORd/Aj4fa7/8FI8jvHqFo6GebT8tZfik88LKcQsxpE+FIdOg+wTw2kChAUMGaIyJHpkgtElJuoGFt5/Mv7/dyddbqzBpVVx3UgkT+2SSbhK7Qg+3ZGcNa/c3hB1ff6CJ77ZVc8kJyXu+rbJ5eOrLbRFj//p2F5eMKKCwA1RA6cjyU/Q8dfFgah198PoljFolWSYtcrnsyN8sCEnCqFVx/cnFDC208M+vd1De6GZwgYU7J/aiW4ZIuj1cZZObu99dG7Fl1R8+XM/IklTykzgJZtmuWvbXhS/Uu3wBZn+zk0fP749OJc4d7cWgUXJq70w+uPlEmlw+lAoZKXo1Vn3n3/0tdC75KXo+uPlE5i3bx4Kfy1DIZVx+QgHnD80jpwNUb423xionO1aEb4qz13v4+av9jJnaHWWSVuEINHlo+HhHxJh7Uy2B04tQGDpppbHGA/DxbbDr60PHuk+E8/4Jlrx2eUmbzcZNN93ERx99hNls5t577+Xjjz9m8ODBPPXkk6i0GlIzMunWuw8ymYxZs2Yxf/58FixYwOWXXx7xOV9++WWeeuopdu/eTXFxMbfffntzpaprr72WlStXsmLFCjQaDV6vl1GjRjFw4EBef/315uewWq1kZ4c2FhYUFDBlyhRWr17dLj8DoZNSqKD3ZLjm81AyUM02SO0O4/8vlNShFPNVLbga4bP7wd0QHvv+SRh0Ceiit4NOtL21TlbsDU82lYIwa8FGXrv2BFIN4nfebpQqyB8OVy04lPSrTQFj11kjb9Md7aBBg2hqauKKK65g6dKl9O/fH4D777+/XQYnHKJVaumV2os/n/RnHD4Harkaq9aa6GElJ2ctrGslW371a1B0YqhSRBLaUWWPGqt1eGl0+8hB3Ei2N6XFApbkvYAQhKOhysjAOvUCjKeMIxgIoDCZkOvE50ck9joPfm/4IgaArc6N2+7HaI3vmI6W22Fn9+oVUeM7li9l4KmnozGIBax2JZe32wSYIMSLQi6jJN3AQ+f1505XLxRyGemifVtEjS4f85ZF2Kzxi3nL93JG/6ykXdCsd3hxRalw4peCVNk8FIpqY+3OqFVi1IpEA6FjSzFoOK1fNsOLUvEGJAwaBUbRcimiBqcvYvIRgMcvsa/OmbTJU16/xMJ15VHj32ytosnZG51FfKa1tyyzVlR1Ezq8/BQ9d5/Ri6vHFiMD0owaFCKBPKLNS6N/9m5dXsHQMwoxpiRn8pTkCRCo90SNe/fbUOd0wnsOV3144hTAzq9gwW/holdAlxLzl7377rtZsmQJCxYsICsri5kzZ7J69WqGDBmCUqVCJpMjk8tbtNLT6XR4vd6Izzdv3jxmzpzJc889x9ChQ1mzZg0zZszAYDBw1VVX8eyzzzJ48GDuv/9+/v73v/PAAw/Q0NDAc889F3WM27Zt4+uvv+bqq6+O9T9f6Oy0ZigaA5e8CT4nqHSgsyZ6VMnJXQ+7F0eP7/oGMnrHbTht9f32mqix9QcacXgCpHbCU0fSMWSEvrqgNt3Rbt26lUsvvZTx48eLKlMJYlAZMKjEp0LrghCMvAAOgOQP9XtN0uQp4xF2eKsVyVc5JBgMUtnkoc7hBRmk6lVkmbUtLsQFQUgcZZooe34kwWDrLVGPFE8kuUKJWhd9kUVjMCJXJt9EmtftxtlQj8fpQK3TobNY0erFNY4gJAOtSoE2SXcvJ4tgMNjquSEQDJLEpw5UytbvKZL1919tc1Pn8OGXJFL0arJMGhRJeH8kCF1RiiE5k0WTyZHuKaRWprISTSEHqy56UpxJq0rKynkeX4Bqu4cGpw+tSkGqQU2qeK8KQlJQKeQiEfAoBKXo5w6plVgykMllIAOiDFOuS86EW0mS8Hu9+GQgkytQKBRtq+buqA5PnDpo51eheIyTp2w2G6+99hrz589n4sSJQKhdXm5ubsTHBwIB3nrrLdatW8cNN9wQ8TEPPfQQTz31FFOnTgWgpKSETZs28eKLL3LVVVdhNBp58803OeWUUzCZTDzzzDMsXrwYs7llp5zLL78chUKB3+/H4/Fwzjnn8Ic//CGG/3qhS9FZkrpqUlIIBml1Qkryx28sxyBFH/2eQ6OUJ+U9hz8gUWnzUO/wolLISTWoyRAV/DusNl2d7Nq1i1dffZWbb74Zl8vF5ZdfzrRp00SChJBc9Gkw4EL46aXI8aG/CVWHSFLFaXqMGiV2T/gJbFiRlZQk273u9gVYsaeO37/3M5VNoZ0k2WYtT10ymOFFKUm78CIIgvBrplQtCpWcgC98xUJvUaMzJu/ueZ3JxPBzzueTf/wtYnzY5PNQaZJrQtJeX8fS9+ax8Zv/IQUCIJPRfdgJTLjuZsxpXXNHgyAIHYtVr+aSEQWsidC2D+CSEQVYW5nwSbRUg5qSdAO7a8JbvmaaNKQZk+ueIyAF2VzexO1vrWHXL2O26FTMOq8fp/XJwtTKgr4gCEKySNGrybFoKW90h8XUCjlFaclZdQpAIZdz5ZgiPlxzIGL82rHFpCfZuaPW7uHN5ft44ZsduH+5zxtaYOXvlw6hOF1s2hAEoWPoMyaHLT9WRIz1HJGJNonb3skNKrR9UnFvrgsPKmSo84zxH9QRNFZV4WpsoF6lQKVQIJPLMFhT0ZnNKBRHuZzqbjq++DHYtWsXPp+PkSNHNh+zWCz07t2yuszs2bN5+eWX8Xq9KBQK7rrrLm6++eaw53M4HOzcuZPrrruOGTNmNB/3+/1YftWtY8yYMfz+97/n0Ucf5b777uOkk04Ke66///3vnHbaaQQCAXbs2MHdd9/NlVdeydtvvx2Lf7ogCIfTWaFoLOxdEjnefXxch9NWp/TORLZwU8T8rwuH5ZOWZBshmlw+Fm2q5OGFG2lyhdb1u2cYefayIfTNMSdlspfQujZlkOTl5fHAAw+wY8cO3njjDSoqKhg7dix+v59XX32Vbdu2tdc4BeHoKTUw5jYwZobHup0KWX3jPqS2yDJrefHK4WEVpjKMGp68aHDS7ebcV+vk6rkrmhOnACqa3Fw15yf21zkTODJBEISjp7eoOfnSXmHHZTKYcGUfDNbk3ilQ0G8gPUedGHZ84MQzySgqScCIovO63Sx9bx7rv/oilDgFEAyyc9VPfPbPp3A1xX4SSRAEoT2c2ieDXlnhE/7dMwyc3jcrqTcZZZq0zJ42DPNhu731agX//s0IspOsCsCBBheXvvhjc+IUhFon3vXOz2woE+cNQRA6hiyLlr9dNChia6oHzu5LepLvTi5ON3DzKd3Cjp/UI50z+2cn1XlPkoL8d10Zf1+0rTlxCmDN/gamv7KcisbI7RMFQRCSTUq2gaIB4RXldSYVw84sRqlO3o3Lcq0S67ndUBw+pyaHtGl9kZuSK/HLVlvD5y/8nYD/0Kb2oBTEXleLx+E4+qr0WvPxxdvRtGnTWLt2Lbt378bhcPD0008jj1BowG63A/DSSy+xdu3a5q8NGzawbNmy5sdJksSSJUtQKBTs2LEj4mtmZ2fTo0cPevfuzdlnn83DDz/MO++8E/XxgiAcJ10KTPobqCJszBhxHRhz4j+mNsgyafjbhYPCjvfINHLbhB5JV7Bj3YEGfvfez82JUwA7q+1c+u9lHGgQ9xwd0THXxZwwYQITJkygsbGRefPmMWfOHJ588kkGDBjAunXrYjlGQWi7lGK4/itYOx82/id0khh1E3Q7BYxZiR5dq5QKOScUp7Do7nEs3lrNjkobo7qlMbwohVyrLtHDa8HjC/Did7sIRCgR7JeCvPLDbh6e0h9NEraLEgRB+DWlSkGP4Rmk5hhY9dkeGqtdpBcYGX5WEZYMfVItBERisKZw2nW3cMK5F7Llx++QK5T0GXMypvRM9ObETcpE4mysZ+M3/4sYK928AUdjPbokG7MgCEIkORYdr107kkWbKnn7p/0ECXLJiALOGpBNjiW5rtsj6ZNt4tPbT2bZrjrW7qunf56Fk3qkk2NJvvbbizZV4vAGIsb+9sUW5lx1QtJtMhEEQYjkhOJUPr39JF74difrSxspTNVzy/ge9M4yokuyhYDDpejV3HhKd84bksfCn8tw+gJMHpBDcboh6dpSVNrcPPtV5EXZ0noXO6sdZHeAc7UgCILerGb8lX04sLWen7/ej88ToPvQTPqemIM5Pfk/x5SpOjJuGoz3gA3PjgaUKVq0/dJQWNTIk+y8V1u6D2dDfcSYva4WjV6PQnkUCV+GDOg+MdSi73DdJ4biMdatWzdUKhUrVqygsLAQgMbGRrZt28a4ceOaH2exWOjRo8cRny8rK4vc3Fx27drFtGnToj7uiSeeYMuWLXz77beceeaZzJ07l2uuuabV51YoQr93l0skFQhCu8noAzf9AMv/Bbu+CXVsOukuyBsO+ti2DY01vUbJ5IE5DCtM4bMN5VTZPEzok0mfbDPZluTa6Ffn8PLXz7ZGjNk9fr7eUsVVJxbHd1DCcTvupsIWi4VbbrmFW265hbVr1zJnzpxYjEsQjp+1EE6+J5RJK1eAPjXRIzpqaqWCojQDV5+Y3GXEHV4/G8sao8bXH2jE6QmI5ClBEDoEjU5FTncLZ1zfH79XQqWRo9Ic96VS3OgtVvQWKzk9ex/5wQnkcToPVZyKwFFfR3pBURxHJAiCcOxyLDquHF3E2QNzkMlCC8vJlngUjUwmIz9Fz0XD9Vw0PD/Rw4lKkoKs2BOh1ccvtlXYcPujn1cEQRCSiValoHe2mcenDsThDqBVyzFqkqvyRmusejVWvZq+Ocm92cHtk6hzeKPGN5c3MbZHehxHJAiCcOwMFg29RmZT2D8NKRBEY1CiULSpqUxCKa0alFYN+v7J/blbtWdX1JgUCBCMsIE8Il0KnPdPWPDblglU3SeGjutin7hgMpm46qqruOeee0hNTSUzM5OHHnoIuVx+zPenDz/8MLfffjsWi4WzzjoLj8fDypUrqa+v5+6772bNmjXMnDmT999/n7Fjx/L0009zxx13cMopp9Ct26FKlQ0NDVRUVCBJEtu3b+eRRx6hV69e9O2b3B1iBKFDUyghrTuc/ifwNIFCFWrn10EYNEq6Zxq5bULPRA+lVR5/gG2VtqjxFXvqRPJUBxTTFcEhQ4bw7LPPxvIp241f8lPtqqbOVUeQIGnaNDJ0GSiPtm+x0DEoFGCMfSa/EKJVKihO17OlIvLJoSTdgFbdcW7kBOFImlw+auweGlw+jBolaQY1acbk2mErHD+1Vok6uTYxdCpqrTbUDzFKuXO9xRrfAQlCewoGwVYOjmoI+EI7TI2ZoEr+HcLC0ZPJZOJ6oB3J5TL6Zpv4fENFxHhBqj6s5bkgdGQOj58au4dahxedSkGaQU1mkrXSFI6fTqVEpxJzkO1Fo5Rj1Cixe/wR4yXpyb1ZURDaqsZVQ52rDlfARYomhTRdGgaVeJ93NlpDx0m27YhScvOixuRyObIIbXejsuTBRa+E5gLcTaFWfYaMdkmcOujpp5/mpptu4pxzzsFsNnPvvfeyf/9+tNpju468/vrr0ev1PPHEE9xzzz0YDAYGDhzInXfeidvtZvr06Vx99dWce+65ANxwww188sknXHnllXz33XfNFaYOVqKSyWRkZ2czbtw4HnvsMZRKcR2UUD432CtD71GF6pf5qmyI0MZR6MBUGlCJNfL2olLIKUjVs6PKHjHeL8k3nAiRtensNGHChCM+RiaT8dVXEcpRJhGn38mysmU8uORBmrxNABhVRmadOIuTck/CoBY3FoJwNPQaJTef0oPPN1RGjN84rruYDBQ6jcomNw8t2Nhi4W5QvoXnrxhGQWqE/tGCIESkt1jpPnwUO1cuC4ulFRSJ5Cmh8wj4oWwVvPsbsP1y7lBq4dT/g2FXdqiqqIKQaOcNyeW5xTvwBcITb+88rZdIXhM6jRq7hxe+2cGrS/cS+KW6QXGanhevHEHvbFOCRycIHUeGScO1Y4t59uvw1n1WvYo+YiFD6ER2NezijsV3sKdpDwAKmYKLe13MTYNvIk2XltjBCUIHklXcHbUu8hyv3mpF3tbCC7qUdk2WOpzJZGLevHnN/+1wOHj44Ye54YYbAPjmm29a/f5Zs2Yxa9asFseuuOIKrrjiioiP37hxY9ixjz/+uMV/B6NsnBQSzFkP696G/80Cvzt0zJgJF78G+SeEkqkEQTiidKOGO0/ryW3z14TF1Ao5kwfmJGBUwvFqUwrpN998w+7du+nXrx+DBw+O+DVo0KD2GmvM7G/az52L72xOnAKw++zc8+097LXtTeDIBKHj6ZZh4MmLB6NVHfo40akUPH3JYErSkyehpNJRyYqKFby79V1+Kv+JSkfkhC9BiMTh8fO3z7eEVTxYV9rIjNdXUmPzJGhkgtDxaPQGJl57EwX9B7Y4nl5QxPn3PIjBmhx9150+J/ua9vHJzk/4aPtH7G7cTZOn6cjfKAgHNe6H16ccSpyC0KTU/2bCvh8TNy5B6IDyrDrmXn0CZt2hBQulXMZdp/VkZEnyJCJW2dys2VfPW8v3sXhrFQfqnUhH295D6PICUpCP1hzglR/2NCdOAeypdXL5S8soa3AlcHSC0LGoFHKmjy5i6rCWVURyLFremjGaXEtyVHPz+gPsr3Py+YZy3vppH5vKGqlziPkF4ehVOCq47svrmhOnAALBAG9vfZv3t72PX4pcfU0QhHCm9AzOuvUuZIdV3tGZzOhMlqRpzx4IBPB5PDibGnHb7fh9PoKSxJo1a3jrrbfYuXMnq1evZtq0aQBMmTIlwSMWks6BlfD5/YcSpwDsVfDG+dCwP2HDEoSO6MTuadw+sSfKX1UntOhUvHrtCeRak+OeA0kK/W1vXwQrX4X9K0KV54SI2pQq/de//pW5c+fy3nvvMW3aNK699loGDBjQXmNrFx6/h9c2vkaQ8AnMIEHmrJ/Doyc9ik4pWmkIwtEwaVWcOyiH0d1SOdDgQgbkWnVkmjSolYpEDw+AvY17mbFoBuWO8uZj2YZsXjr9JYotxYkbmNBh1Ng9fLS2LGJsS4WNSpubdJOoeCAIR8uUls45d/0BZ0MDjoY69GYLeos1aRKnbF4bn+z6hMd/ehwpKDUfv6LvFdw46EZStcmzUC8ksa2fgi/KQvfXf4L8kaK9tCAcJbVSwehuaXx+xzgqGt14/AHyUvSkG9ToNclR6baswcWM11eysexQoq1Zp+TN60YxINeCvC1tPoQuqcrm5vnF4VVyAOocXjaVNZFrFXNVgnC0Ms1aZp3bn9+O70FZoxuzVkmGSUO2JTn+jjy+AEt31nLTm6vw+A/dc0zsk8njUweKdp3CUdnZsJMaV03E2GsbX+O8HueRYxBVDwThaMhkMlJz82lwe7Bm5aBWqVAolcgVCuSK5FjnCPj9NNVU4XE4mo/JZDIsWTkEJYknn3ySrVu3olarGT58ON9//z3p6ekJHLGQdBy1sPjPkWN+D2z8AMbdE98xCUIHlmrQcNO4blw0LI8DDS40SgXZFi2ZJg1KRRK0wZQkqPgZXj8f3A2HjmcPgsvfAkt+okaWtNr0W7vnnnvYtGkTH330ETabjbFjxzJy5Ej+9a9/0dTUMXbiu/wudjbsjBrf2bgTV7RFDkEQItKoFOSn6BlVksbIkjTyU/RJkzhV66rl7m/vbpE4BaGdWXd9cxe1rtoEjUzoSBwef4vd34erbHJHjQmCEJneZCa9oJCigUPIKCpJmsQpgP22/fx5+Z9bJE4BzN88nzVV4WV4BSGiA6uix+p2QsAbv7EIQiegVMjJteoYVpTCmO7pFKbqkyZxyuHx89inm1skTgE0ufxc+cpPVIhrReEoeHwS9U5f1PjWClscRyMInYNZp6Ikw8jYHukMzLcmTeIUQEWTmxmvr2yROAXw1ZYq3lmxn0BAivKdgnDIrsZdUWM2nw2PX1QyE4S2kMlkyOUKVBoNGr0epVqdNIlTwWAQl62pReLUweONleUMGjSQVatWYbfbqaurY9GiRQwcODDKswldlt8DtZE3bABQthZE1UJBaBO9RklhmoEx3dMZVpRCrlWXHIlTALYyeOOClolTABXr4Iv/A489IcNKZsf0mxszZgwvvfQS5eXl3HrrrcyZM4fc3NwOkUClU+roldoraryHtQc6VYxvpCUpVPLQVgkBcdIRhHiqd9ezrX5bxNiOhh3UueviPCKhIzJqlC3Kbh4uux12hHrdfhyNHtyO6AsogiDEnl/y8/aWt6PGX1r3Eg2H32wIQiT5J0SPpfUEZewrFtbaPVQ1haryCIIQP7UOD58d1t75oEaXj101jogxQfg1jUpOmkEdNd4nxxTz13T7AlQ1uUWbMEFIgG+2VuOPsknrlSW7qbKLv0vhyLpbu0eNmdVmNO1wz4GzLtSa3COubwQhnqRAAGdjQ8RYMBjE43TGd0BCx6TSQnrP6PG84SCP8SalgC903rBXQVC0tReEuKrdCa76yLHN/wVHdXzH0wEc1yfg6tWr+fbbb9m8eTMDBgxApVLFalztRqPUcGW/K1mwc0FYNQEZMq4beF1sW/Y1HoANH8DqV0EKwMCLYdhvwFoYu9cQBCEql7/1SnJHigsCQLpRw4XD8nhnZWlYrH+umUxT7JKnfN4AjVVOVnyym6o9NgxWDSecXUxmsRmdMfpiiiAIseEL+CizR27TCVDjqsEniaRG4Sj0Ogu+egR8ESYwJ/wRDLErnV9lc/Pd1mpe/mE3TS4fE/pkcv3J3ShI1aMQrcIEod25fVKrVUqrReUp4ShkmrTcOqEHj/x3U1gs3aimb445Zq/lD0jsr3Py4ne7+G5bNVa9mhnjSjipRwYZoh25IMTF/rroi9wNTh9SK+cVQTiom6UbmfpMqpxVYbFrBlxDpi4zdi/mqIHSn+C7J0OL4AWjQq2dUruFFuMFQWhfwSBSIPpGqYBPzFUJR0GfCuP/CG9ODY8ptdD//Ni+Xv0+WDkHNn4ISjUMvzb0Gubc2L6OIAiR2Sujx4IS+MV81eHaXHmqrKyMxx57jF69enHRRReRmprK8uXLWbZsGTpd8pQ+bk2BsYBnJzyLVWNtPmbRWPj7+L9TaI5hUlPjAZh3ESx6MJTZV78HvnsC5pwFDfti9zqCIERl1VhRyCKX1pXL5C0+BwQhGr1Gye/O6M2UIbnIfrUGPaI4hRevHE56DBcYKnc38e5jK9m1pgZ7vYfK3U0sfG4d674uxeMS1QsFob1plVrG5I6JGh+aORSDyhDHEQkdlqUArloY+t+DVHo46y9QODpmL1Nj93DfB+v5/fvr2FJho6zRzZvL93HOP39gt6h2IwhxYdQoseqjbybrlRX7ikFC56OQy5gyOJebT+mOSnHopqN7hpG3bxhNrjV2c247qx1MfvYH3l6xn7JGN5vKm7jrnZ+Z+dEGakW1G0GIizHd06LG+mSb0KiSo02UkNyyDdm8csYr9LQeqiKilCm5su+VXNDjAhTyGL2PXI2w5Bl46/JQe/KmA6GF8BdPhjLR2l4Q4kImQ6mJPget7iDrs0ISyBsOZz8N6l/Nb5pz4aoFYInhGnn9XnjlNFjyd2jYCzXb4Ys/wFuXQVP0jauCIMRQZp/oMV0KaMR81eHaVHlq8uTJLF68mDPOOIMnnniCs88+G6UyxuX74kCn0nFS7km8d+57zS27UrWppOvSUcayHOGeH6AqfMcgTQdg7Xw4+R5Ikn7JgtBZpepSuajXRbyz9Z2w2EU9LyJNF32yShB+LdOs5U/nD+Cu03rR6PJh0ChJNahJbaW1Rls5Gj0sfmMLwQg7TFd9toc+o7PR6DreeVcQOhKZTMaZxWcyZ8McmrwtW1Ir5UpuGHQDepU+QaMTOhSFEvKHw3WLwFkTKlNuSAdjVkxb9u2pcbB4S/hOc7vHz5NfbOWpSwZh0CR/hWBB6MiyzFp+d3pvHvx4Q1hsVEkq2RZRjUE4OmlGDbdP7MHlowqoc/jQKuWkGTUxrQbV5PLx50834/KFVy74bGMFN4/vTppRVJ8ShPbWP9dCQaqO/XXhFdH/eHZf0sXfoXCUii3FvHTGS9S56/AEPFg0FtK0abG9b3VUwdJ/hh+X/LDwjtCmEWMMq1wJghBGoVRiSk2nvvxAeEylQtVKYpUgtKCzwtAroefpoaqCChXo08CUQ4ud48cj4IMVL0euelP+M5SuhH7nxea1BEGIzpQLxSeFclYOd+r/gTEn/mNKcm1agf3888/Jyclh3759PPzwwzz88MMRH7d69eqYDK49KeQKsg3ZZBuy2+cFPHZYOy96fP27MOKa0OKJILRBICDhavIiSUGUagV6k2jj1RqDysBNg2/CqrHyxqY3cPqd6JV6pvebzuV9LhfVQ4Q2MWlVmLTttwDtcfhoqoncSjIYhJoDdiyZImlDaDu33Y7H5UQmA53JIiZUjiDPmMfrk17n0WWPsqpyFQA9rT15cMyDsa1SKnQN5pzQVzv5dH151NiizZU0uvwieUpoM0kKUm3z4A1IqJVysswi+ac1CrmMswfloJDDU19uo9bhRa2Qc8HQXO48vZdIRBHaRKdWUpiqpDC1fZ7f5vbx/fbqqPEvN1YyKN/aPi8udGp2t49Glx8IYta1771zZ5Bt0TL/+tE8unAT/9tciRSE/BQdD53bn8EF1kQPT+hg0nRp7btB9EAr6z3VW8HVIJKnhGNjqwy1DFKoQmtlsaqW1kmpNBqs2TnYamua2/RpDAZMaRkolOK8K7SBUg3WwtBXe3DWhioURrPmDeh5hmj7KrSdzx3apCpJoDGGWlEK0RnSYepL8M1f4Oe3IOANHRv/APSdIor8RNCm5KmZM2cii1XWaWcnk4d2m0ejUHMMXROFLs7R4GH9t6WsX1yK1x0gNcfA2It6kNXNIqrRtCJdl86Ng25kas+puANutAotGboMVApxQyEkF5m89XOsXCHOwULbBPx+akv38c1rL7F/03rkCiV9xo7jxIunYckUCdzRyGQyulu784/x/6DB04AUlLCoLaTqxM2YkHw0yug3uUq5LGabBoWuo8bu4ZN15Tz39Q6q7R7yrDruPr0X4/tkxrTiZmeTalBz2QmFjO+dicMbQKOUk25Uo1OL+zQhychkKGQy/MHwarcAWpWYqxLabneNnb9+vpVFmyqRgkHG987g/yb3pVu6EfkR7nO7soJUPU9dMph6hxdvIIhJqxQJy0JyUhzhGlAuzh1CGznrYc938L9ZULcrVPXmxNthyOWi4EAr5AoFWoMRlUZLUJJAJkMulyMXi99C0pGBvJX1N4U6tI4uCG3RsB++exLWvQV+D+SPhEl/hcx+IhGvNeZcOOuvcPLvQgnLaiOYskXCchRtmsWbNWtWTF+8uLiYvXv3hh2/5ZZbeP7552P6WnGn1sPIG2HHV5HjI64LZfYJCROUJHwVFXg2b8F34ADafn1RFRaiykzOXTJOm5f/vbaJ0s31zcfqyh38958/M/nmgZQMzkjg6JKfSqEi15ib6GEIQqu0BhXp+UZqSu1hMblSRlquMQGjElpwNYTKDe/5IbQrruhEMGSBNjl7Q9dXlDH/j79r3o0mBfxs+u5r9m9cz2WP/A1zujh3tMaisWDRWBI9DEFo1TmDc3jh250RY1OH5pGiF8kuiVbe6GJntYNtFTa6ZxrolWkix6pL9LAisrt9zF68gzlL9jQfO9Dg4nfv/cz9k/pwzYnFaFRiciUauVyWtL9bQTgoRafi7EE5fLy2LGL89H7tVKFdOGoOt59qu4ef9tTh8QUYVZJGplmDNUnP6fvrnEydvZR6p6/52Ndbqlmxu56Ft59EUZqo+N2a9q5wLQgxkTsktMAmhbd8JX8kiI1GiWerhPo9ULYaLPmQMzjUqqe1Df6JEgjA5o/hv3ccOuashf89BNVb4Ky/hNqKCVEplLH/vc6aNYuPPvqItWvXxvy5hS7IkAHDrw79XUdywoxQ9SshcfwesJVD6apQJaf8kaHzhzFJ1wuayuCN86F2x6FjpT/BK6fDjMWQMyhhQ+sQ1DpQFyV6FB1Cm86wKSkpEStPWSwWevXqxe9//3tOP/30o36+FStWEAgcuuDesGEDp59+OhdffHFbhpW8coZAzzNh+xfhx/ucHbvesUKbBSUJ98aN7Lv2OiSbrfm4uls3Cl76N+q8vASOLjJHvadF4tSvff/udjKLzBisoh2EIHRkOpOaCVf15T9PrsbnaTkhNX56H3RmcUORUI4a+O5vsPzFQ8dkMpjwEIy4GnQpCRtaJF63i2Xvv9WcOPVrttpq9m9aT/9xExIwMkEQYinPquPascUtkl0Aci1abhnfA61IdEmoXdV2pr28nPJGd/OxDJOG+dePomdW8iXe1jq8vLp0T8TYP/63nXMG5ZCfIloIC0JHptcoufv0Xvy4s5Yqm6dF7JZTu5NtETt2E8nm8vHhmgPM+u9Gfl0c7JIR+dx7Zh/STck17xOQgny89kCLxKmDbB4/by7byz1n9kbdSqVMQRA6AGMmTH4KFt7Z8rjWAuc+I1rmJFpjKcy/DCrXHzqmNv4/e/cdHlWZPXD8O72X9EboXRCQpoKCXdfeBVRs2EVlbbuuirqra0N/rmt3UewuKrq6unZUbFTpvUN6mUzvvz9GAjEzAUIyM5mcz/Nk9/GeycxJSHLn3ve858CF70HJ8PQroHKVxTpOxfPrm7HOGFI81ebGjx/P3LlzAdDpdPTs2ZPrr7+ea6+9tl1f9+uvv+aRRx7h559/xuv10r17d0466SSmTZtGSRquw4k2olTCwefB0negckXTWP/ToGBgavISMUEfbJoLb18YG+O2S49xcOZzYC1KXW6JlC1pWji1SyQEn98N574CBtkELQ7cfr1reuKJJ+Ier6+vZ+HChZxyyinMnj2bU089dZ+eLy+vafXi3//+d3r16sW4ceP2J630ZSmA0/4B5Uvhlxdiv8CHXAylo2It0tpZnS9WaGPX2WXc4u+EKirYNuXKJoVTAIGNGym//6+UPPIwKkt6LWZUbHYkjDlrfAT8IUyk1000IcT+yykxc/5fRrH2l3J2rK3Hmmfg4PFdsObq0Wjb94azL+TDE/SgU+kwaWV3cDPb5zctnAKIRuHL6dBjLHQZmZK0EvF7PGxd/mvC+Lqfvqf/4Ue2y241IUTy2I1arj+6DycNKuLlHzZT7w1w8uBixvfLozgJHXDqPQHCkSg2gwa1Slqu76na5ee6NxY1KZwCqHL6mTJrAe9cfRj5lvQqUihv8BGJP8kLbzBMnTsgxVNCZIBuOSbev3YMX66u4NPl5eSYtVxyeA965ZmwGdq3A04gFKbBF0KrUmJt59fqiLbWebjnwxXNjr+zYDtje+dx2tD06qjt8of4clVlwvhXq6u4alwvcs1SPCVEh6Y1waCzY4U4Pz8Hjq3Q8ygYdBbYurb7yzsDTgLhABatBe3eRgh2NgF3bNF4z8IpgIALXj8brvkB7O3/b7RffPXgjb9JHIDqdZDbJ2nptBeH30GtrxZnwIlFayFbn53y7uZTpkzhvvvuw+PxMGvWLK677jqysrKYMGFCu7zec889x7XXXsvkyZN599136d69O1u3bmXWrFk89thjzJgxo11eV6QJazFcOBu2/ABLXgeVDkZfCQWDYkW57SkSjv2dUSilwDceZxm8NTFWt7CnTXNj9QxH/Sk2dSOdrPoocWzzd7HznhRPiTawX6tlkydPbjE+dOhQHnzwwX0untpTIBDgtddeY9q0aQkLffx+P37/7l1xDQ0N+/06QKxzhKc6VllpzI7NUFa3U9GJpQAsx0H3I4AIaNr/RnOFu4Kvt33Nu+veJRKNcEbvMziu23EUmqT1+i6BrdsI19fHjbnnziVcW5t2xVN6U+ITlUKpQCWLVULE1RbnjmgwSKiqilB9PQqNBnVWFurc9hm9qlQqsOUZGHFSd4YeE0Gpaf/fb1/IxzbnNmaumMny6uWUmEu4YvAV9LH3waqztutrdxjeevi+hQv6H5+GM59tv/cTraBUKtGbzXid8X/mjfZslEo5dwjxe211zVHvCVDrDuAOhLHp1eSadRh17VOsmG3Skt0jmyGldsKRKIZ2LrYFqHT6+GVjLS99vwmXP8SJgwo5b0QppdlSWLNLrSvAqjJn3NjmGg81rkDaFU8ZtS3/jMrIPiHia4tzRyQSpcLpo84dQKFQkG3Ukm/VtdtmuJIsAxcd2o1zhndBrVSiVbfv+8JwJMq2Wg+v/LiZb9dWk23ScNW4XgwrtZNjTp/30KkUCkd49cctCePPzF3PmN45afX90qqUZLVwv8pu1KCR+1VCNNNW1xzugJsaXw2uoAuTxkS2LhuLrp3uaeutsZE4pz4R61KhNsQ6i7SjOl8dK2tW8tKyl6j2VTOqYBQXDryQLpYuqJWyEQwAdxWsnBM/5ndC5ar0K55S7eU8lgFdp8rd5dzzwz38sPOHxmNjiscw/fDp7bZO53Q6ufrqq5kzZw5Wq5XbbruNDz74gKFDhzY2xjAajRQWxl5/+vTpvPHGG3z44YcJi6defPFFHnvsMTZt2kT37t2ZOnVqY6eqyy67jAULFjB//nx0Oh2BQIDRo0czePBgZs2axfbt25k6dSpTp07l8ccfb3zO7t27c+SRR1KfYH1OJNZma+TO8tiozEj4tzXywvbrUGcthsHnQL8/xAqZNEm4B1K/FX59C1a8FztXjb4Keo4Hi6yRN9rwVfPCqV3mPw8jLwdbmnWGs7TQDctgj/18CdEG2vSv4SmnnMJf//rXVn3unDlzqK+v55JLLkn4mAcffJB77723ldn9pnotzL4Myn+rxNcYYdztcMhFYMw5sOduSTJOCMQKp6798lrW1q1tPPbw/Id5Z807vHD8C1JA9ZtwbW3iYDRKxB9IHE+R/G5WVGol4VCkWaznsDwMZtl1I0Q8B3ruCDscNHzyCZWPPErE7QZiIz5LZsxA169vuy1mKJQKNPrkLFD+WvUrV31+FeFobFTgJscmvt/xPbePvJ2z+56NQd3+nUvSXsgPrqrEcWdZ7DFpVDxltNk55A9n8OVLT8eNDzn2RBRSPCVEM21xzbGjzstts39l3oYaANRKBRNGdWXqMX3Ia8dxO+298L1LtdPPn99bxhd7dJpY99V6Xv95K+9fezjdcqR7IcQ6NbUYD7QcT4U8s44Cq46KBn+zWL8CC9kmueYQIp4DPXd4AiF+3FDD7e8updoVux9RZNMz47whDO+W1W4jzxQKxV6LJtvKhkoXZzw9D89vf/s2VMH8zQuYOKqU207sj90of19CkUizboV7qnYFCCVqD5giBq2KK8b25KvV8a+VrjqyZ7t3MxOiI2qLa44qTxUzFszgv5v/SyQaQYGC8aXj+fPoP7fvGoBKk5RuFA3+Bv61/F+8vOLlxmObHJuYs2EOs06axcAcGfkExO5FRVq4rnBVJC+XfWXMgdJDYdtPzWOGrPQr9tpPDr+jWeEUwLyd85j+w3QeOvKhdulANW3aNObNm8eHH35IQUEBd999N4sWLWLo0KEJP8dgMBAIxF8Le/3117n77rt56qmnGDZsGIsXL2bKlCmYTCYmT57Mk08+yZAhQ7jjjjt4/PHHufPOO6mvr+epp54C4N///jeBQIDbbrst7vPb7fYD/ZI7nQM+d4RDsdFn714OdZtjxwxZ8IdHoc/xsSLZ9qJN0ka7ui3wr+NjBWK7vH9VbBzdWc9LAdUuju2JY35n4sKqVBp8Dnz3aPzY6Gvav5uZ6DTa9O663+9Hq23dzY6XXnqJk046ieLixO2n//SnP+FwOBo/tm3btn8v4tgOL5+8u3AKIOiBL+6BNZ/GRu90cD+U/dCkcGqXzQ2b+WLLF0Qz4GtsC9pePRPGlFYrKos5idnsG5NNy0lXD0apbFqoYcs3cPhZvZJWZCFER3Og5w7PwkWUT7+3sXAKYiM+t1x0EcGdO9s63aSr9FRy17y7Ggun9vTYwseo8dakIKs0pLf+1kUygV7HxNrYpxGFQkHvkYfSY9iIZrExF1yMLV8uFoWI50DPG9VOP1e9tqCxcAogFIny6k9beHbuenx7KajpCDZWu5oUTu1S6w7wz6/X4w2k4U2WFMgyadCo4hdZKxWQnYabHwqsOl68eATm33VJyzFpeWriMHLTqNuJEOnkQM8dm6rdXDFrQWPhFECZw8fF//qFbbXetk436RzeIPd+tKKxcGpPb/yyjfIWCoY6E71GzVH98hLGR3XPbvb3OR30L7JwyeHdmx0/+5ASDumWlfyEhOgADvS84Qq4eHTBo3y06SMi0dhG2yhRvt72NffMuweH39EeaSdVta+6SeHULv6wn7/+9FfqfC2MfetMdJaWF4wLD05eLvvKmA1nPB3rSLMnjQEmvNVyd5EOoNZX26xwapd5O+dR62thY38rOZ1OXnnlFR599FGOOeYYBg0axMyZMwmH499/CIfDvPbaayxdupSjjz467mPuueceHnvsMc466yx69OjBWWedxc0338xzzz0HgNls5rXXXuOf//wnd999N0888QSvvvoqVmusAGfdunVYrVaKijr2v2c6OfA18m3wyim7C6cgNtru3cuhcmWb5poSIT/8/GzTwqldNs3NjK+xrfQ4MnEsf2BSpmjtN2sX+MNjzY93OxyGXQhKWSMXbaNNr7hfeumlFquYE9myZQtffPEF7733XouP0+l06HQHcLO2bCm4mt/kB+Drv0Kvo8HacU/kDf4G3l/3fsL4nPVzOLnnyWTp5caFOi8P05FH4P72u2axvKk3oM5PvwpVlUZFST87E+89lG2ranHWeCnpm0V2iRmzXRYxhEjkQM4doZoaqvZoK7yniNOJ58cf0Z5zzoGkl3IOv4Myd1ncWCgSYkvDFrpYuiQ5qzSkMcCYG2DZ27ELsT3p7XDwuWn5Bt2clc2J19yEo7KCDQt/QWsw0Gv4KExZOehN6VXsJUS6ONBrjvIGH8t3xG+d/tpPW7nk8B4dfrTde4t2JIz959cybj6uL4YkdTJJZ7lmHZeO6cHz325sFrtgZFdy07B4SqFQcFCxjU9uOoKFm+tYU+5kcBcbQ7rYKMnq2D+3QrSnAzl3ePwh/vn1+rj7+YLhKK/8uJm7ThmARpV+7zX3VYM3yLz1iTdlzF1bRf8iGRcOcOzAAp78aj217qZdIDQqBVOP6Y0pDYunsk06bjq2DxeMKuXzFRWEIlGOH1hAkd0gHQuFSOBArzlqfbV8uvnTuLEfyn6gxlvTLp1tkmlRxaKEsWXVy2gINMg6B8TGbR0zHT64tnms2+FgTbOxS7vk9ILLv4CyX2HbL5DbB7qPiS2Op+H9tf3hDMQf3b6v8dbYuHEjwWCQUaNGNR6z2Wz069evyeOefvppXnzxRQKBACqViptvvplrrrmm2fO53W42bNjA5ZdfzpQpUxqPh0IhbLbdf1sOO+wwbrnlFu6//35uv/12xo4d2xiLRqPtNrGhszrgNfJlsyGYYGPGV/fD+a937LGZnhpY9u/E8YUvxzpQdfC/MW0ir3/s7271uuaxEx4Ac+INHSmjt8CQ86HnuFhDHF899DkOsntK1ynRpvbrinvatGlxjzscDhYtWsTatWv59ttv9zuJmTNnkp+fz8knn7zfn7tfdi5JHGvY2XwxtINRKBQoW5jpqVQoUSBvVgDUWVkU/fWv1Lz4EvXvvEPU50OVm0vejVOxHHssijS9KanWqLDlGbDlpelFjxAZJhoI4l+/PmHcs3gx9g5ePLW380JL55VOx94DLvsMPr4Zdvx2E6/7EbHWxvZuqc2tBUabHaPNTlGffnt/sBDigG2vS9whxB+K4PJ3/K5MKmXic0cLoU7HqFVz5ZE9yTZqeWbuBhzeIFa9msuP6MnEUV0x69JzjJFSqaA0y0ipFEsJkRSeQJhVZYkX0ZbvcOAJRLAZ0vM+xb5SKBI3fP99h+3OrEuWkdlXH8b0/6zku3VVRKNwULGVv54xiB656bv5wW7UYjdq6V8oRXBCJIMz6GzsOBVPnb/jd2Xa2/0oWef4jVIJ/f8Aqufhi+mxdS61DoZMgnG3pucC+C62kthH/z+kOpM2ZdFaDijeniZNmsSdd96JwWCgqKgIpTL+75nL5QLghRdeYPTo0U1iqj3WziKRCPPmzUOlUrH+d/fQ+/bti8PhoKysTLpPpYOQH7b/kjheuTI2qakjF0+hgJbOHQpV7DEi1kjmwvfhi3th5fuxMX3ZPeHEv0NJ8ykWaUNniX3k9kl1JiKD7Vfx1OLFi+Met1qtHHfccbz33nv06NFjvxKIRCLMnDmTyZMno1a38+6p/BYWDU25oE7Pm9f7yqK1cF7f81hYsTBu/Ny+52LX25ObVBrT5OeTf8sfyZ58MdFAAKXBgDo/H0WCN4xiN3/IT7WvGn/Ij0FtIM+Yh1qZfrsfhThQCo0aTWkpwa1b48Z1/Tp+MYpdZ6fUUso2Z/M2v1qllq6WrinIKk2pNVA8FCbOBp8jtgJkyOrgF5XJU+eraxwdYNPZZIeoyFiFtsS7ANVKBSZtx178Bjj7kC68/nP8c+NZh5RIl4k95Jp1TDmiB6cNLcYXDKPXqMiz6NCo5Jpjb4LhCJUNfrzBUOP3Tafu+L8/QvyeXquke46RTdXuuPFeeWYMmo79s283ahjfN4+v11TFjY/vm8YLuynQM8/MUxOGUecJEImCVa8mR8am7hOHN0idJ0AoHMVqUJNv0ac6JSHahUndcjGlTduxu04BHJJ/SMLY8ILhHb6zVpsyZMHg82Ib/ALuWPGUKR808jdwryIRcJWD3xn7vqkOvAg4W5/NmOIxzNs5r1lsTPEYsvXZB/wav9ezZ080Gg3z58+na9fYvVyHw8HatWs58sjd47lsNhu9e/fe6/MVFBRQXFzMxo0bmTRpUsLHPfLII6xevZq5c+dywgknMHPmTC699FIAzjnnHO644w4efvhhHo8z2aG+vh673b6fX6loNZUWCg6CdZ/Fj2d1B3UH/5thyoUhE2Fe/EkijLg0VnAqYuylcOr/wTF3QTgYK0qyFKQ6q47B7wJPdawoUWeJjZuVTnsZY7+qHb7++us2T+CLL75g69atXHbZZW3+3M10GQk6K/jjjNEYc3OsxWkHN6JwBEPyhvBr1a9NjvfL6seRXVqYYdpJKbVatCXSxWl/VHmqeGHpC7y3/j38YT8WjYXLBl/GmX3OJEefk+r0hGhT6txc8q6/jp233d4sptDpsIwfn/yk2liuMZe/jf0bl//vcoKRYJPYXw79C7mG3BRllsZMObEPsU9CkRBr69Yy/YfprKpdBcCA7AFMP3w6fbP6SvGtyDhFNgPdc4xsrvE0i50+tJjcDFj87JZj5IyhxcxZsrPJ8UKrniuP7CUFLr+jUikpthtSnUaHUu3y8878bTw7dwMNvhA6tZILRpVy7fjeFFg7+A1dIX7HrNNw/dF94hYWKRRw2dgeaNUd+ya/Ra/hLycPZOHWeTR4m3ZgvOrInuRbO/65sa1ZDRqsho69yTPZNla5uPP9Zfy4sRaA7jlG/nrGIA7ploVRxgmLDJOtz2Zs8Vi+3/l9s9hBOQe1S3FGsuUYcrhh6A38Y8k/mhw3aUz8efSfpXjq9xQKsBanOouOxVsHa/8Hn98NrorYKK+DJ0OfA1urtOlsTD98OtN/mN6kgGpM8RimHz69XX52LRYLkydP5tZbbyU7O5v8/HzuuecelEplq0fn3XvvvUydOhWbzcaJJ56I3+9nwYIF1NXVMW3aNBYvXszdd9/N7NmzGTNmDDNmzODGG29k3Lhx9OzZk9LSUh5//HGuv/56GhoauPjii+nevTvbt29n1qxZmM1mHnvssTb+ToiEFAoYOgl++Eesy9Dvjf8zGDv4uUOlgZGXw4r3oH5L01i/P8RG1YmmdKbYh9h39dvgs7tg9YcQCYO5AI67H/oeHytmFh2eIhpN1DQ7/TU0NGCz2XA4HFit+1ARHolA+VJ48wJwlsWOKZSxatNxf0rvFqb7odJTycKKhbyz5h0i0Qhn9zmb0UWjKTBJxag4MA6/g7vn3c1X275qFrv64KuZcvAUtCrpNJCO9vvvZQbb3+9FqLaW2ldmUfPiixAOA6DKyqLLU//AMGQIivbumpgEwXCQHa4dvLXmLZZWLaXUXMrFB11MN2s3zFpzqtMTHdyWhi2c8+E5+MK+Jsf1Kj2zT5tNN2v6jjzs7OTcEdOa78OmajdTZi1gfaWr8dgx/fP525mDKbRlRuFHtdPP8p0OXvxuE55AiD8MLuKkQUWUZEmRkDgw/lCYf3y5nqe+bj46+cSDCvn72YOxG+WaIx3JeWO3/f1eOL1BPl5exvQPV+ALxsYwmbQqHj7nYI7ql49R1/GvOaLRKNvrvLy3aDvfrKki26RlyhE96VtokY6F4oDtqPNw+j/nUe0KNDmuUMCca8cwpNSemsTEXsm5I6Y134dydzl/+u5PLKhY0HhsYPZAZoyfQYklMzYLO/wONtRvYNaKWVR6Kzm06FDO7HMmJeaSvY71E2Kvlr0L7zYtlPKZS9l05D/ocdAI9KYDG6/n8Duo9dXiDDixaC1k67PbtejP6XRy9dVXM2fOHKxWK7fddhtvvfUWRx99NA8++CDjx49n6NChPPHEE3E/f/r06cyZM4clS5Y0HnvjjTd45JFHWLlyJSaTicGDB3PTTTdx0kknMXz4cMaOHctzzz3X+PjTTz+d6upqvv3228bxfl988QWPPvoov/zyC16vl+7du3PKKacwbdq0Fsf5+Xw+Nm3aRI8ePdDrm95HkXNHzH5/H4I+2PI9zL4cfPWxYyotHH0XDLuw4xdP7eLYDms+gWXvgNoAh14NxcOlq5I4cM5yePXM2JjL3zv3ZTjozKSnJPbN/vy97FzFUwDRaKxwylURa6tmLYkVTelSN2e4vbgCLqJEUzpDWWSWjfUbOf2D0+PG9Co9c06fkzEX55lGLih2a833IuLxEKquJlhegVKvR52fl5FjPoPhIJ6QB71Kj04tu7/FgQuGgzy64FHeWP1G3PikAZP44/A/olHJrvp0JOeOmNZ+H6qcPqpcARyeAPkWPTlmbUYWfLj9IUKRKFa9utU7WoXY07ZaD8fOmIs/FIkb/3LaOHrlS3F3OpLzxm6t+V74g2EqnX7KHT6Uylg3vzyrDq0qs7r5hcMRXIEwWpUSQwaMshXp4Z3527jt3aVxY4f3yuGZC4djk05eaUnOHTGt/T7U+eqo9dVS460hS59Ftj6bHEPmdcr2hXwEwgGMGqN0rxZto6EMXjo2VmSxB5+5lE1jHosVT1k79u+S2+2mpKSExx57jMsvvzzV6ew3KZ7au1Z9H8Kh39bIyyEUAFsXMOWB1ti+ySZbNAo+ByjVoJP7B6KNbJ4HL/8hfsxWCld8HhvhJ9LO/vy97HzvNHe1L01xC9Naby3BSBCD2oBV1z4nd+kWItraTvfOhDFf2Icz6ExiNkIkj9JoRNu1K9rfZsanRMgPnhpAEZvf3Q7FJhqVBptK2p6LtuMKuprsgv29BeULcAVdZKmkpa3IPHkWPXmW1HaZqvcE8AXDaNWqduvqYcqAbigivTT4ggkLpwB21HuleEpkJJ1GRWm2kdLs1C1chMMRqt0BotEodqMWvabti5tUKiU2Q2ZtQhGpFYlE+XpNZcL4km31eAIhKZ4SGSlLn0WWPote9l4pyyEUchIKuVEq1Wi1ue3yGnq1Hr06Mzr4ijQR9DQrnGoa9yYvlzayePFiVq9ezahRo3A4HNx3331ArBuUEI1UarCXxj5SyVkB0TDorO1T3KRQgMHe9s8rOrcdidc5cGyDgCd5uYh2I3e6k6zOV8eC8gU8u/RZylxl9M/pz9RhU+lj74NJK3NFRXqz6+wtxvUquYgVol3UbYGfnobls2PjZodMhJFXpP4iR4i90Kl05BvzWVu3Nm680FSITiVdzoRoaw3eICvKGnj0f2tYV+GkNNvIH4/ry7CuWWTJaCSR5vZWrJFllMVvIdpDmcPLvxds542ft+ILhTlhYAHXjO9N12wjSqV0FhTpS6lU0C0ncdFhgVWPWn6GhWhz4bAPj2cjGzbOwOFYgFabR7euV5GbO77diqiEaDMqLWgMiYukOmiH9EcffZQ1a9ag1WoZPnw43333Hbm58vso0oizAlZ/DD/+I7ZRvPsRcNSdkNMb1HK/SqQ5WwvrcRpD7NwiOjzZ6pVEroCLV1a8wrS501hbtxZn0Mn88vlc9MlF/FT2Ex14gqLoJPKN+RSaCuPGRhWOIksvnUOEaHP1W+Ffx8PPz4K7GlyVMO8JePnklndICZEGjBojlw9K3Br80kGXYtRkWFtoIVIsFI7w+coKJjz/Ewu31NHgC7FiZwOXvbKAdxZswxsIpTpFIVqUY9JyaM/suLESu4H8FHd0EyITlTt8XPbyfGZ8vpbyBh/1niBvL9jOaf/8nm11sntWpL+zD+lCounB14zvlfJuoEJkogbnMuYvOIOamq8JhZx4PBtZtfp21q1/iECgPtXpCdEycz4MvSh+TKEEtSG5+bSBYcOGsXDhQlwuF7W1tXz++ecMHjw41WkJsZu7Gv5zE3x8M9RujI3VW/0RPH8kVKxIdXZC7F3J8FiRVDyHTI6dW0SHJ8VTSVTrq2XmiplxY3/7+W9UehK3mBYiHeQb83nmmGfI0Ted993D1oP7xtyHTSfjvoRoU+EwLHkTnOXNY/VbYM0nsfndQqSx3lm9uWHYDSjYvZqhQMENw26gt713CjMTIjNVOP3c+5/4N50e+2wt1a5AkjMSYv/YjVoeOWcIvfKadmbOs+iYeclICmyyAC5EW1uyrZ5VZc5mxxu8IZ6buxFfMJyCrITYdyV2A/93/lA0qqYVVOcO78LR/WURQ4i25g9Us2bNXUSjzc8P5eXvEQjIOodIc2odHHEzdB/b9LjGCKa8Dtt5Soi05tgGa//b/Hg4CJ/cBp7a5OckxP6wlsCF74H2d6Mmux8JY26MnVtEhydj+5Jok2MTkWgkbqzKW0VDoIECU0GSsxIivnA4gscRIOgPo9YqMVp1qDVKemf15q1T3mJzw2Z2OnfS096TEnMJeca8VKcsRObx1cLK9xPHl70Dg8+V+d0ibfjcLnxOJ5FwGJ3JiMmejV1nZ2L/iZzQ/QSWVS1DgYJBeYPIMeRg1rTDTHshOrk6d4AGX/zuUoFwhDKHl9Js6fgm0kM0GqW8wYfbH0KrVpFj0mLSqSnNNvLGlEPZXudlXaWT0iwjPXJNFNs73g5wIdJdKBzhvUWJO9p+uqKcqcf0ptAmv38iPbj9IWrcAQKhMCadmkKrHqNOzfEHFfJl1yyW73Dg9ocYUmon36LDbpTxGUK0tVDIidu9LmG83rEAs7lvEjMSomVVnipcQRcqhYosfRYWrQWsxXDuy9CwE8p+BXMB2PtAtY+E7QyFEK23/qvEse2/gK8BjPG7UAuRdCFfbMxkyBcrrLUUgUoNXUbBtT9C5arYlJiig2PnE5OskWcKKZ5KIr265R2yKoUqSZkI0TJPQ4BVP+xk0f+2EvCGUGmUHHREMYcc3w2TXUehqTA2vq8o1ZkKkeEUqpbbRGuMoJRTuUgPtTt38OVLT7N1+a8A2AuLOfaKaynu2x+zzoxZa6abtVuKsxQi86mULd/k1arlmkOkh3pPgK9XV/LAJ6upcvpRKRX8YVAhd/xhACV2AwVWPQVWPcO7yWhwIdqTUqHApEt8TWHQqFDIAqJIEzvqvTz431V8sryccCRKvkXHn/4wgKP752MzaOiabaSrFIkL0e4UChWgAOJ3Q1ep5PdQpAdPyMOvlb/y15/+ylbnVgAOLTqUO0ffSXdb99hitykPiobEPsHng5pNqUtYiEymNSWOKdWglGFZIk04y+G7GbDolVjxlN4OY2+GoZPAnAf2rrEPkZHkL1ESlVpKMSRYBO+b1Re7zp7chISIIxSMsPTrbfw0ZyMBb6xrQTgYYelX2/n27bX43MEUZyhEJ2LMhtFXJY6PvgZ00rlHpF5DVSVvT7+9sXAKoL58J7P/dhc127amMDMhOp9sk5bS7PjXHHajhnyLtJAW6eHbddXc/M6vVDn9AIQjUf6ztIzLX55PZYMvxdkJ0XkolQomjU584/fCQ7uRa5Zzh0i9ygYfl878hY+WlhGOxAo2Kp1+bn57Cd+vq0pxdkJ0LhqNnezssXFjCoUKm3VYkjMSIr4NdRu46vOrGgunAH4q+4lLPr2Ena6dKcxMiE6o99GJYwNPB0NO8nIRIhFPHXz8R/jluVjhFICvHr64B+a/ACF/StMT7U+Kp5Io15DLw0c+3KzDlFlj5oGxD5BtkHaEIvU8Dj9LvtgWN7ZxcRVeZyDJGQnRyfUcDz3GNT/e7xQoOSTp6QgRz5ZlS/A46psHolG+e2sWPrcr6TkJ0VkVWPU8NeEQDJqm1xwalYJ/TjxEiqdEWih3ePn7f1fFja0ud7KlxpPkjITo3Hrmmpg4qrTZ8UHFVs4cVrzXroZCJMOmGjdrK+JfVzzw39VUSOGtEEmjUVvp1/cetJrmC939+/0NnS4/BVkJ0VSDv4HHFz1ONE6HtBpfDb+U/5KCrIToxCxFcMIDzY9bS+CYu0HXQmcqIZLFXQmrP4of++FJcJUnNx+RdDLrJ4m0Ki2HFh3K+6e/zwfrP2CjYyMjC0ZyVNejKDYXpzo9IQDwe0KEg5GEcWetn6xCeRMjRNJYCuGsF6ByJSx8OdbCdvglkNcPzHIzSqReNBJh05KFCeNl69YQ9PvQm6RLmhDJclCxlf/dfAT/XVrOwq11DCyycsawEkrsetQq2T8jUs8bjLDTkXiR+9ft9YzsIZuLhEiWbLOOW07oxznDS3n95y24/GHOHdGFQSU2Cq36VKcnBABLttYnjO2o9+INhJOXjBACo7EHI0a+T23t91RXf41eX0JJ8fno9cWoVPE74QqRTN6Ql2VVyxLGv9/+Paf3Ol3GEwuRLDoLDL0QehwJC18B507ofyr0OAJsXVKdnRAxjvjNRQAIesHrAHvSshEpIMVTSaZX6+lh68FNw28iFAmhVso/gUgvam3LC2p6k/zMCpF0loLYx64OVDL/W6QRhVKJvaAwYdxkz0KpVCWMCyHanlqlpGu2iavH9yIUjkjBlEg7GpUCnVqJPxR/00aRTYo1hEi2bJOObJOOoaV2okRRyTWHSDPF9sTFGHqNEo1KFr+FSDbDbwVTRYVno5R1DpFmVAoVucZctju3x413tXaVwqk9TJ8+nTlz5rBkyZJUpyIymcEGhsHwh0cgGo5tFBcinRiyWo5rjMnJQ6SM3AlJISmc2gtfA7gqIeBNdSadisGipaSvPW7MkqPHaNMmNyEhxG5KpRROtSASieJpCMh40RQ4aNwxkOCG06jTz8Fk38tFhxCi3UjhVMvc/hBVTh9ufyjVqXQqeRYd549sPiIMwKBRcXAXe3ITEkI0UioVUji1F7VuP9UuP+FI8zFAov0MLbWj18T/2Zwwsit5Fim8FSJVpHCqZb5gmGqnH6cvmOpUOpVcYy5XDLoibkyBglN6npLkjFJr/PjxKBQKFAoFer2egQMH8vTTT7fra+56PYVCgclkok+fPlxyySUsXJi4g73oJBQKKZzaG29dbI08JGsdSWUpTtwJrfsRYGo+slhkFrkbItKPpxY2fANvXwgzT4KP/whVayDkT3VmnYLepOHoiwdgL2haPWu0ajn5uoMx2+VmlBAi/ThrfSz+3xY+eGIxHz65hBXf7cBVn3gckGhbltx8Tr7+FpSqph2mDhp3DD0PGZWirIQQIjGXP8TS7fVMe2cJ5z33Eze/vYSl2+txSRFVUujUKq4d35vRvxvNZ9KqmHXZKOk8JYRIS+UOH2/+vJWLXvqFCc//xLPfrGdHnWz4S5Yim55XLhuFUdv0muOwntlcNa4XWrXc5hZCpJdAKMy6Cid3zVnOec/9yFWvLuT79dXUuWUhPFnGl47ntF6nNTmmVqp5+MiHKTQn7qLeFkIOB/6NG/H++iv+jZsIORzt+nr7YsqUKZSVlbFy5UrOO+88rrvuOt588812fc2ZM2dSVlbGihUr+Oc//4nL5WL06NHMmjWrXV9XiA7LVQkrP4DXz4GX/wBfTIfaTRCJ37lbtDFrEUyaDaa8psdz+8Dp/9x7ZyrR4UlZp0gvfif88gJ888DuYzXrYfk7MPlj6Do6dbl1ItZcA2fcPIyGGi+1ZR6suXqy8o2Ys2URQwiRfpy1Pt5/bBHOmt3FUt+8vob8bhb+cM3BmOy6FGbXOWj1enqNOpRL+zxHxcZ1BHw+ivv0w2TPQm+2pDo9IYRoIhSO8M3qSq5/c3HjsU3Vbj5bWcGTE4Zx0qBCNNKxq90V2vT8c9IhlDm8rNjRQJ5FR79CC4VWvXRME0KknQqHj6tfW8iSbfWNxx75bC1v/LKNd646jJKsxCPlRNtQq5QM75rFZzcfyepyJ9UuP4OKbRTZ9OSY5ZpPCJF+lu1o4ILnfyQYjnUq3Fjt5ocNNdx8bB8uG9sDi16T4gwzX44hh1tH3sqlgy5lWdUyjBojB+UcRJ4hD526/c4dwbJydv7lL3jmzWs8Zhw7luL770dT1D5FW06nk6uvvpo5c+ZgtVq57bbb+OCDDxg6dChPPPFELAejkcLC2OtPnz6dN954gw8//JAJEybEfc4XX3yRxx57jE2bNtG9e3emTp3KtddeC8Bll13GggULmD9/PjqdjkAgwOjRoxk8eHCTwii73d74mt27d+f4449n8uTJXH/99Zx66qlkZUkhghCN3NXw6R2w/N3dx6rXwZLX4IovYwU8ov3lD4Arv4nVJ9Rtgbx+kNUdLO1bdCvSgxRPifTiqoS5DzY/Hg7Ch9fDJR+DOT/5eXVCJrsOk11HUS97u75OrbeWne6dzNs5D5PaxNiSseQaczFrzO36ukKIzBAJR1j1w84mhVO7VG5xUrbRQe9D5LyRDBqtDntBIfaC9r2IiEYiBMvK8C5dSmDDBvQHDULfvx+aoqJ2fV0hROaoaPDx5/eXxY3d+d4yhne1U5JljBsXbSvXrCPXrGNwib1dX6feE6Ciwc83ayqJRmFcvzyKbHrsRhlJLoTYN4u21jUpnNplR72Xfy/YxvVH95bCzyRQq5R0yTLSJQnn6bJ6L6vLnfy6rZ6eeSaGdcui2GZApYw/rlwIIfZU5fRz+7tLGwun9vTEl+s4fWiJFE8liV1nx66z09veu11fJxyNEoxECToc1P6ucArA8/337LzrLkoeexS1zdbmrz9t2jTmzZvHhx9+SEFBAXfffTeLFi1i6NChCT/HYDAQCMTvhPb6669z991389RTTzFs2DAWL17MlClTMJlMTJ48mSeffJIhQ4Zwxx138Pjjj3PnnXdSX1/PU089tddcb775ZmbNmsXnn3/Oeeed19ovWYjMU7+1aeHULj5HrAPVmc+CTjYqJ4WtS+LxfW3JWQ41G2Dzd2Apgh5HxEYHaqSZSapI8ZRIL+XLINr8ggKA6rWxGa9SPJUxqj3VTP9xOnO3z2089tD8h7h95O2c3vt0LFp5EyCEaJnXFWTtzxUJ4yu/30m3QTlofjfaQXRM0WgU36rVbJ08mYjL1XhcnZ9H11deQdejRwqzE0J0FDXuAA2++OP5nP4QNe6AFE9lkFq3n39+vYGXvt/UeOzvn65m0uiuTDuur3QrEULslTcY4u352xLG31u8g4mju5JvlRvcmWJztZsJL/xEmWP3Jh2TVsUbUw5lcIkNpRRQCSH2wuENsr7SFTcWjcKyHQ6655qSnJVoL+FolLpgiB2+ID1qa5sVTu3i+f57wjU1bV485XQ6eeWVV3jjjTc45phjgNi4vOLi4vj5hsO8+eabLF26lCuvvDLuY+655x4ee+wxzjrrLAB69OjBypUree6555g8eTJms5nXXnuNcePGYbFYeOKJJ/j666+xWq17zbd///4AbN68uRVfrRAZbNV/EsfW/Be89VI8lUkcO+CN86Fijw2eSjWc/xr0PEoKqFJEtkSJ9KLYy4+kQm5OZIpoNMoXW79oUji1y0PzH2KHa0cKshJCdDSKxv+JT6lUtBQWHUyoooLt11zTpHAKIFRZxc5bbiFUW5uizIQQHcnezgsKuebIKKvKnE0Kp3Z5/eetLN3hSEFGQoiORoGixXODStlyXHQsdZ4Af/z3r00KpwDcgTCXvTyfiobmXY+FEOL39nZakC52mSUQibLDFwQg6nK2+NiIM35R3YHYuHEjwWCQUaNGNR6z2Wz069evyeOefvppzGYzBoOBKVOmcPPNN3PNNdc0ez63282GDRu4/PLLMZvNjR9//etf2bBhQ+PjDjvsMG655Rbuv/9+/vjHPzJ27Nh9yjf6WwMFef8kxO8oWtgArlDKGnkmCXrh20eaFk4BRELw9oXgLEtNXkKKpzqLYFUVgW3bCJaXEw3F32WdFgoHgzLByaFwMBiyk5uPaDc13hpeWflKwvh7a99LYjZCiGaCXqjfBnWbwV2T6mwSMli0DBwTfxcVwKBxJail61TGCFVVEaqsjBvzrVhJuLYuyRkJIfZU4/KztdbDjnov/lA41ekklGPWkWWMPyIjy6ghxySj3DKF2x/i+W83JIw/P3cjzt8WOYQQyRcMh9lZ72VrjYdKZ/oWpOg1Ki46tGvC+PkjSuXckUFq3QEWbol/XVHjDrDT4U1yRkKIPTk8AbbVethe58HtT991DrtBw0HF8TvwqJSKhDHRMdUFd/8sKswtd4VRWsztnU5CkyZNYsmSJWzatAm3282MGTNQKpsvE7t+27T4wgsvsGTJksaP5cuX89NPPzU+LhKJMG/ePFQqFevXr9/nPFatWgXEulkJ0e4iEWjYCbWbYv+faPpROhh4WguxM8GQlbxcRPtyV8Ovb8SPRUKw9Yfk5iMaSfFUhgs5HDg+/ZQtEyay4bjj2XjqaVQ/+yzBqqpUpxafOR9O+Hvz4xojnPYUmHKTn5NoF+FomHpffcJ4pbeScCR9F92EyGj12+C/t8E/DoH/GwKvnQVbf44VVKUZhVJBn1EFZBU1H6/UZUAWeV2ljW0m+X3HqWZxf/ouugmRyTz+ED9trOHCl37myIe/5uhHv+Gv/1nJzvr0O28AFFj1zDhvKL/f7K1UwGPnDaVAxi5ljGAoQq07cXFUrTtAIBRJYkZCiF0qGnw88fk6jn/8W4585GvOe/ZHPl9ZgcMbSHVqcQ3qYuOI3s3vSfXKM3H60GIZ45ZB/MGW70U1eNO3WEOITBYMRVi5s4ErX13AEQ9/zbhHvuHW2b+ypcad6tTiyjHreOjsgzFomm/ou+uUgeTJ6OiMEtyjGMNttWEcMybu44xjx6LKyWnz1+/ZsycajYb58+c3HnM4HKxdu7bJ42w2G71796akpCRu0dQuBQUFFBcXs3HjRnr37t3kY8+Cp0ceeYTVq1czd+5cPv30U2bOnLlP+T7xxBNYrVaOPfbY/fxKhdhPrir45Xl47kh4cii8cBQsnBkrXElHti4wckrz46Y8OPrPoJVxrxkjEoSQP3HcWZG8XEQT6lQnINpPNBzG9cUXlN35l8ZjEaeT6qf+iX/tOgrvuxe13Z66BOPRmuDg86HLcPjxn+DYBl3HwPCLwZZ4l5/oeMwaM6MKR/HVtq/ixo/pegyqRF3IhBDtp2EnvHYmVK/bfaxsCcw8ES7/HLqMSFlqiViy9Jw2dSjbVtWy6odyVCoFg4/qQkEPKyab3IzKJJri4lh74jg7hBRGI6p0e18jRCexfKeDCS/81Pir6Q9FePXnrSzYWsfLl45Ku2IklVLBYb1y+PSmI3l53iZWlzvpX2jhksN7UJpjlBEaGcSsV3NUvzyWJRjPN65fHlaD3BYRItlq3X5un72Ub9bu3ti3ucbDlFkL+MeEYZxycFHajXHJt+h57LwhLNlWzys/biYQinDu8FKO6JtLkc2Q6vREG7IZNFh0apwJOtp0zWm+cUcI0f621Ho48+l5+H8rfA9Hovx3WTnzN9cx59rDKclKv9/N/oUWPrnxCN5ZsI2fNtZSYjdwxRE96JFrwqiT96CZxKZWUf9b8W213ki3++6Fu+/BM29e42OMY8dS/Nf7Udtsbf76FouFyZMnc+utt5KdnU1+fj733HMPSqWy1e+p7r33XqZOnYrNZuPEE0/E7/ezYMEC6urqmDZtGosXL+buu+9m9uzZjBkzhhkzZnDjjTcybtw4evbs2fg89fX1lJeX4/f7Wbt2Lc899xxz5sxh1qxZ2OU+nmhPfjfMewJ+fGr3MWc5fHRz7P/H3gyaNHsfb8yG8XfAgFPhp6fBWwv9T4GDzgS7rJFnFK0Jcvs0XYfbU7f4Rbii/ck7tAwWqqyk8pFH48acn31G3tQb0q94CsBgg5LhcPrTEPKB1gwq+VHNNCatieuGXce3O74lFGl6Q6rQVMiIwvQr0BCiUyhfHv8NWzQCn/0FLngj9iY+zZiz9Aw4vJiew/JRKECrl/NGJlJlZ2M/71zq336nWSz32mtQ5+WlICshOrdat597/7MybtfzVWVONla50q54CmIjmPoWWJh+2iC8wTAGjQqtWhozZxq1Ssk5I0p5+cfNzTqFmHVqJo3uikYlGzaESLZyh79J4dSe/vbxKkZ2z6IwDQuS8q16jj+okDG9c4hEwaKPPwJWdGz5Vj3Tju/Lvf9Z2Sx21rAScqVbjBBJ5wmEeOrrdY2FU3uqcvr5Zk0Vkw7tloLMWqZWKemea2LacX1xB8Lo1Up0cTpRiY7PqFKiVSoIRKJEgC2WLHIf/DtZDQ5UbhdqiwVVTk67FE7tMmPGDK6++mpOOeUUrFYrt912G9u2bUOvb931+BVXXIHRaOSRRx7h1ltvxWQyMXjwYG666SZ8Ph8XXnghl1xyCaeeeioAV155JR9//DEXXXQR3377LarfrrMuvfRSAPR6PSUlJYwdO5ZffvmFQw45pG2+cCEScVfCz8/Ej817AoZOhKzuycxo35hyoee42Cb2cAh0FmihU5zooMwFcOJDsakvv1cyArK7Jz0lESMrixks7HQRrq9PGPevX4+ud+/kJbS/NPrYh8hY3a3defWkV/n7z3/n1+pfUSvUHN/9eG4YdgNFpqJUpydE57T2f4lj236CoAdIv+KpXXTSPSKjqSwW8m64AU1pKbUvvkS4vh51QQF5U2/AfPTRKLXaVKcoRKfj9odZsbMhYfz7ddUc1it9R29r1UopmspwpVkG3rtmDA98vJKvfyvWOKJPHnedPIDSNOxQIERnsDxBNziA8gYfrgQdf9KFSSdFU5lMo1JyxtASbAYNj/5vDTsdPmwGDVcc0YMLRnbFZpB/fyGSzekN8cP6moTxz1ZWcPbwEvSa9LwnpFYpsRnkmiOTaZVKehl1lPuD1IfCRKLgNJmx5mRhUCpRJqGjpsVi4fXXX2/8b7fbzb333suVV14JwDfffNPi50+fPp3p06c3OTZx4kQmTpwY9/ErVqxoduyDDz5o8t/ReLushEgWdxVEEoxjDvnBU5OexVO7yIi+zFc6Ci56Hz69A6rWxDqhDbsYxt4UK64SKZGe7yZFm1DqWl5AVNnsyUlEiAS0Ki2Dcgfxz2P/iTPgRKlQYtfZMWpkEUOIlLG2ULiot4NCbvaI1FLn5pJz6aXYTjmFaDCIQqtDnZ+XdqNdhOgsVEoFRq0KTyD+Dak8i3RnEKmlUCjonW/m/yYMw+ENQhSsBg1WWfwWImWyzYnvVykVSFGrSLksk5azDunCmN65+ENhNEol+RYdKpX8bAqRCiqVgiyjlkqnP24816JDLV05RIpplUpK9FoKo1GigAoF6iSOhF+8eDGrV69m1KhROBwO7rvvPgBOP/30pOUgRFrZ20g+dfp1uhWdjM4CvY6GyR9BwBObwmXKA7XcS00leUeZwVRZWRgPPzxuTGmxoO2Wfq1sRedk09noYulCsblYCqeESLWBp0GiIpRRV4EpP7n5CBGHQqVCU1iItrQUTUG+FE4JkUK5Zi0TR3eNG1MqYHw/OW+I9GDRa+iSZaRLtlEKp4RIsf6FFgwJxhYdN7CQbJN0ExXpocCqp2u2iSK7QQqnhEihXLOOKUf2SBiffGg31PI7KtKASqFAq1SiUyqTWji1y6OPPsqQIUM49thjcbvdfPfdd+Tmpm8naCHalSkP7AnWwXP7giknufkIkYg5Pzamz9ZFCqfSgLyjzGAqq5Wie6ejKSlpclyh11P67DOo8/NSlJkQQoi0ZSmG059uXkDV9TAYcWms+l0IIYT4jVat4vKxPRhaam9yXKmAJycMo8AqF/1CCCGaKrDoeWnyCHS/6zDVI9fEX04egFnG4gkhhPidcX3zOXlwYbPjtxzfl265MtpIiGHDhrFw4UJcLhe1tbV8/vnnDB48ONVpCZE6lkK44A0wZDU9bsqF816VsWhCiLhkBTTDaUtL6fb6a/jXrce7ZDHabt0wHHIImsJCFGr55xdCCPE7OnOs+1TpaNjwFXhqoddRsfnfZukeIoQQorkim4EXLh7OlhoP36+rJteiY2zvXAqsOgxaueYQQgjRlEatZESPLL6YNo6fN9awrc7DyO7Z9CmwUGDVpzo9IYQQaSjPouP+MwZxzfjefL26Er1WxdH98sm36LBIV1EhhBDxFBwEV30HOxdBxQooPBiKh8Y6/AghRBxyJ7sT0BQWoiksxHzE2FSnIoQQoiPQmiHHDDm9Up2JEEKIDiLPoifPomdE9+xUpyKEEKID0KpUlGYbKc02pjoVIYQQHUS2SUe2ScegEluqUxFCCNERKBRgL419DDw91dkIIToAGdsnhBBCCCGEEEIIIYQQQgghhBBCCCGE6JSkeEoIIYQQQgghhBBCCCGEEEIIIYQQQgjRKUnxlBBCCCGEEEIIIYQQQgghhBBCCCGEEKJTkuIpIYQQQgghhBBCCCGEEEIIIYQQQgghRKckxVNCCCGEEEIIIYQQQgghhBBCCNEJTZ8+naFDh6Y6DSGEECKlpHhKiI4u6Ie6LVC2FKrXgac21RkJIYRIc15XgLoyN1VbnThrvIRDkVSnJIQQIo2FwxF21HtZudPB2gon1S5/qlMSQgiR5hq8QTZVu1mx08G2Wg/eQCjVKQkhhEhj0WiUCncFa2rXsLZuLZWeylSnlFHGjx+PQqFAoVCg1+sZOHAgTz/9dLu+5q7X+/3HW2+91a6vK4ToRPxuqN0UWyOv2QC+hlRnJDo4daoTEEIcAHc1zH8R5j0BQW/sWNfD4cxnIKt7KjMTQgiRpuorPHwxcyUVm2MXEhqdipGn9qD/oYUYzNoUZyeEECLdOLwBPl9Rwf0fr8LhDQLQr8DCkxOG0rfAgkKhSHGGQggh0s3Oei9/mbOcr9dUEo2CVqVk0qFduXZ8L/Is+lSnJ4QQIs34Qj4WVSzi7h/upsJTAUCxqZgHjniAwbmD0ao63v0qnzuI1xkg4A2hNagxWLToTZqU5jRlyhTuu+8+PB4Ps2bN4rrrriMrK4sJEya022vOnDmTE088sckxu93ebq8nhOhEnOXw9QOw5HWIhEChhAGnwYkPgrU41dmJDko6TwnRUYXDsPRt+ObB3YVTAFt/gFfPhIay1OUmhBAiLTnrfMx5fHFj4RRA0B/mh9nr2byshmg0msLshBBCpKMlW+u5ZfbSxsIpgDUVTs577id21Htb+EwhhBCdUbXLz7WvL+Sr1bHCKYBAOMLMeZt57tuN+ILh1CYohBAi7Wx1buWaL69pLJwC2OneyRWfXcEO144UZtY6rlofn724gjem/8zshxbyxvSf+ezFFbhqfe32mk6nk0mTJmEymSgqKuLxxx9n/Pjx3HTTTY2PMRqNFBYW0rNnT6ZPn06fPn348MMPEz7niy++yIABA9Dr9fTv379Jp6rLLruMgw8+GL8/1pU4EAgwbNgwLr744ibPYbfbKSwsbPKh10shtRDiAPld8OX9sOiVWOEUQDQCK+fAB9fLlCbRalI8JURH5SqDbx+JH6vdCHWbkpuPEEKItFez3YW7Pv6opZ8/2IjbEUhyRkIIIdJZjdvPQ5+uiRtzeIPMW1+d5IyEEEKku8oGP0u2OeLGXv1xC1VOGf0qhBBiN2/Iy0vLXiISjTSLhSIh3lr9FsFwMM5npiefO8hXr65m26qmC/fbVtXy1aur8bnb52uZNm0a8+bN48MPP+Tzzz/nu+++Y9GiRS1+jsFgIBCIfy/w9ddf5+677+Zvf/sbq1at4oEHHuCuu+7ilVdeAeDJJ5/E7XZzxx13AHDnnXdSX1/PU0891bZfmBBCxOOuhKVvxo9t+BLcVcnNR2QMGdvXjmp9tVR6KllXt45CUyG9bL2w6WyolKpUpyYyQdAL3rrE8YoV0O3w5OUjhDhw4RA4y6B6bezNXZeRYM4HnSXVmYkMUbXVmTDmrvcTDja/USWESG8OT4AqV4AVOx1Y9RoGlVixGzVoVHLNIQ5cIBhhTUXic8cvm2o5f2TXJGYkhGgLZfVettR6KKv3MqDISpFdj83Q8cbhiPS0vc6TMOYPRXD5Q0nMRgjRJvwucFVC+a+gUMXuVxnsoDGkOjORATxBD6tqVyWML6tehifkwaayJTGr1vM6A80Kp3bZtqoWrzPQ5uP7nE4nr7zyCm+88QbHHHMMEBuXV1wcf2xVOBzmzTffZOnSpVx55ZVxH3PPPffw2GOPcdZZZwHQo0cPVq5cyXPPPcfkyZMxm8289tprjBs3DovFwhNPPMHXX3+N1Wpt8jwTJkxA9bv7EytXrqRrV7mOzHjOCnBsg5r1kNMbsnuCMTvVWYlM4XNApIWOtu4qyOuXvHxExpDiqXZS6ankz9/9mUWVi/jjiD+iUqj4YP0H6NV6Tut1GqWWUrL0WalOU3Rkah1ojBBMcFMqq0dy8xFCHJhwCLbPhzfOJZzdm53jZ/DNrw4WVzoY3MXGMQMKKbYbUKukaaRoPXuBMWFMZ1SjUiuSmI0Q4kBVu/w89MlqZi/azl+OLmREiR/L1++hiviJHHwuyrx+YClIdZqiA1OrlHTJMrClJv41R/8ia9zjQoj0tabcyYUv/YxOreQvJw9k3oZqlm530CPXxKlDiim26TFo5XahaL18qy5hTKkAo1YKvIXoUDy1sHAmfPVXwoMuItj1NBqeeYlQnRPLscehHzQYTaFcc4jW06v1lJpL2eSIP0mjm7UbelXHGfMW8LZcJLy3eGts3LiRYDDIqFGjGo/ZbDb69WtaOPD000/z4osvEggEUKlU3HzzzVxzzTXNns/tdrNhwwYuv/xypkyZ0ng8FAphs+0uYjvssMO45ZZbuP/++7n99tsZO3Zss+d6/PHHOfbYY5scS1TUJTJI3RZ449xY4e2JD8aaPfzyPJjyYcgFYCsFQ8coiBRpSruXhgMGqcEQrSN3Q9qBP+TnhaUv8HP5z/x1zF/5aONH/FT2U2P87TVvc2bvM7npkJvINkiVrWglcwGMvBx++EfzmDEH8vsnPychROs17IDXzgRLESuPfIYLXt+COxCrnH9vSRkP/W8tb1xxKMO62lEopMBFtE5BDysavYqgr/mujGHHdcVolY4DQnQkn60o598Lt3PfcUWc7XwN0zsv7Q4umQXdxsLZL4K1KHVJig4tz6LjxmP6MO2dX5vFtColxw2QhTIhOpJyh49LZ/5CIBThsXOHcMu/f6VyjxFqT365jqcnDWd8vzz0GilwEa1TZDPQLccYt/D2D4OLyDUnLq4SQqShypXw5X2EB07E4ehPxUU3NIYccz5E26M7pS+9hFaKIUQrmTQmrjj4Cr7d8W3c+MUDL0an7jjnDq2h5WXXvcXb06RJk7jzzjsxGAwUFRWhVMbfpOtyuQB44YUXGD16dJPYnl2kIpEI8+bNQ6VSsX79+rjPVVhYSO/evdvoKxAdgqcW5lwT6zh1wZvwxT1QuUd3uR//AcfeB8MvkQIq0XqmXOh1TGxE3+8VDgZTXvJzEhlB2le0gxpfDe+vf58+9j7U++ubFE7t8v7691lbvzYF2YmModbBYdfDwDOaHrcWw8UfgrUkJWntq3AoQsAXIhqJpjoVIdLD9l8g6KXisLu49j9ljYVTu/iCEa56bSHlDb4UJSgygTlLzxk3DcNg2aM9uAL6H1bIgDHFKNO8s1nA5yPo9+/9gUJ0ApVOH09/swGrQc2x+Q5MS15q/qAt38PqjyAq77dE643rm8eVR/ZEuUftttWg5pXLRlGcld47wEPhCC5/kFBYxtIKAVDu8LLT4eP8kaU89+2GJoVTAJEoTH1zMVVOeb8lWq/AqmfmJSPpkWtqcnxs7xzuPHkAJl167+X1BkN4Ay2MABGiM/E74bsZoFAS6nUuFQ8338Qb2LSZmmefI+KT+1Wi9Xrbe3PXoXehVe7e1KdX6Xlg7AN0tab3eLdoNEo0EiX623W3waKldED8pgmlA7IxWNp+42LPnj3RaDTMnz+/8ZjD4WDt2qZrkDabjd69e1NSUpKwcAqgoKCA4uJiNm7cSO/evZt89Oixe+LJI488wurVq5k7dy6ffvopM2fObPOvTXRAnmrYMg/6ngRr/9e0cGqXL+4G547k5yYyh8EOpz0JXUY1PZ4/AM57Fcz5KUlrn4X8sbHIIu2k99VqBxUIB/CH/RzT9Rg+3vhxwse9tvI1huYNRa9O7xvOIo1ZCuHUJ+DoO6F+W+xkYSmKFVClKb83iKPKy9KvtuOs9VHaP5s+owqwZutRKKWbjujE6rYAUGvqzbbabXEfUuX0U+MKUGQzJDMzkUGUSgV53Syc9+eRuOv9+L0hrDkGDBYtOmP6vi101lSzbeUyVsz9ApVGy7ATTiG/e09Mdmm/KzqvcDhKZYOfUwblkb/qmcQP/PlZGHharGupEK2QY9Yx9ejeTBzdlW21HgwaFUV2AwUWXdqOE/YFw2yr8/DaT1tYU+5kUImNiaO60iXLgFYt3XRE51XjDgAwvFsWz3+7Me5jAuEIK3Y6KM1OPO5ZiL3pmWfm7SsPpdLpp8YdoMimJ8+sI8uUvp1uKxt8LNvh4NUftxCKRLlgZCkjumdTaJP7tqITC/ljndKLhuL6aUnChznmzCH36qtQSvcp0UoWrYXTe53O4cWHs9O1E4VCQbG5mDxDHlpVep47otEohKOEPUGi/jAKlRKlWYPOoOboi/rz1aur2baqtvHxpQOyOfri/uhNmhaetXUsFguTJ0/m1ltvJTs7m/z8fO655x6USmWrJxjce++9TJ06FZvNxoknnojf72fBggXU1dUxbdo0Fi9ezN13383s2bMZM2YMM2bM4MYbb2TcuHH07Nmz8Xnq6+spLy9vlq/JZPr9S4pMEfit++iAU+G/tyR+3PL34OiByclJZCZbF5jwZmw8pHMnmArAUpDehVPuaqhaDT89C35HrEFKn+PBXprqzMRv0neVrAMzqA3kGnLRqXW4g+6Ej3MFXYQibT/fWHQM0WiUSk8l7qAbjUpDtj4bk6YVbxgNWbGP3L5tn2QbC/hCrP25gm/f2r3jYefaehZ/toWzbh1OTok5hdkJkWJdRgIQ3EtjhEBIOid0agE3uKtiNzC15ljBbAs7xeJRKBSYs/SY07xbyC7Ommpm/+0uanfsLirctGg+vUcexrFXXCsFVKLT0mtUDOpixahRoPY7Ej8w4IKInDs6s0qnjwZvCLVSgd2owW7c/8UHs16DWa+he0763+AOhSP8uKGGK2YtIPxbl9ufNtbyyg+bmXXZKA7tmSMjkEWntasgKryXDtBOn9yr6sz8oTBVTj++YBiDVkW+RY+mFcWy+VY9+daOcc1R6fRx67+XMnddVeOx79dXM6jYyouTR1AoG5hEZ6UzQ+mhULOWcF3idY5oICDTBTq5UF0dYUfsulRltaLOjt95qSU6tY4uli50sXRp6/TaRTQYIVTlbez0HCVMxBNElaXHZNdx/BUH4XUGCHhDaA1qDBZtuxRO7TJjxgyuvvpqTjnlFKxWK7fddhvbtm1Dr2/dufiKK67AaDTyyCOPcOutt2IymRg8eDA33XQTPp+PCy+8kEsuuYRTTz0VgCuvvJKPP/6Yiy66iG+//bZxvN+ll17a7LkffPBB7rjjjtZ/sSK9Geyg0sam5wRa6KzjrUtaSiINhUPgKosV26n1sYInTSvec5tyYx8FHaAQz1ML3/wd5r+w+9imb2OTpC79BLK6pS430UiKp9pBvjGfqcOm8s22bzi0+FC2rtka93Endj+xdcUyosNr8Dcwb+c8Hl3wKJWeSpQKJcd0PYZbRtxCsTlzd+h4nQG+e7v5uMqAL8w3b6zm5GuHtOsFhBBpLbcv5PQiW+HGoFHhDTYfE6BVKcmz6FKQnEgLju3w+T2w8n2IhGMXFMdMh/5/iBXRZqBIJMzKb79qUji1y/r5PzL0xFOkeEp0WlkmLX86aQB3vr+M6lGnkrvu8/gP7HtSxv6NEC3zBkIs2VbPn99fzqbq2GLXoT2z+dsZg+mVn7mbFiqdfm56e0mz4pBgOMqNby3hw+vHShcR0WnlmnUc2SeXWneA0mwD22q9cR83pIs9uYmJtFHZ4OPZuRt445et+IIRLDo1V43ryQWjupJrztxr0V+3OZoUTu2yfGcDn6+s4MJDu0nhreic1Ho4/DqY+QfMo66lZuYbcR9mGDYMlVnWOTqjaCiEf+06yu6+C9/yFQDoBgyg6L570ffvj0KTmff6o+EI4TpfY+HUnsL1PpQ6E3qTJqlrHRaLhddff73xv91uN/feey9XXnklAN98802Lnz99+nSmT5/e5NjEiROZOHFi3MevWLGi2bEPPvigyX9H43x/RCdgyoeRU2DHIugxDjZ+E/9xA05LaloijbirYMlb8N2j4KuPFdoNuxiO/GNss3imcmxtWji1S8MO+P5xOPHvoJH7VamWnj32OziFQsFRpUdxZJcjOa7rcdh0tmaPKTQVMq7LOLnw7qR+Kf+F2769jUpPJQCRaITPt3zO1Z9f3XgsE1Vudsa7ngCgfEMDPlcwuQkJkU6sRXDhHPKrfuC28YVxHzL1mN7kmtOzVbVoZ84KeOMCWD47VjgFsXa0H1wLaz+Le7MmE3gaHCz98n8J47/+77+EQ9IZQXReA4us3H5ifyqyR0F2z+YP0Fng8BvkwruTWl/pZtKLPzcWTkGsA9O5z/3I9jpPCjNrX1VOPw5v/OuK2Pgof5IzEiJ9ZJu0PHzOEKqcPm46pi/xbkmdNqRYNmx0Ug5vkPs+Wsm/5m3G91tLZKc/xKOfreWl7zbii7PBJxN4AiFm/bg5Yfy1n7ZS+9vISyE6pazucMGbaI1eDCOGNY+r1RT8+U+o7PZkZybSQHDHDjZPmtRYOAXgX7WKLZMuJLB9ewoza1/RSJRoovEBURLH2tHixYt588032bBhA4sWLWLSpEkAnH766UnPRXRyWiOMvQn0djjs+lgXqt8rPgTy+iU7M5EOQn5Y8C/4/C+xwqldx+a/AP+5KdadKVMtezdxbOlb4KlJXi4iISmeaid2vZ0zep9BL1svXjnxFU7teSo6lQ6j2sgF/S7g5RNfpsicwdWTIqEqTxWPLXgsbmxTwyY2OzYnN6EkCu9l3FiUzFz8F2KfZXVFe+iVnDmshBcuHErfAjMqpYJeeSaenngIk0Z3w6CVppGdUv1mqFgWP/bldHCWJTOb5IlCJJy4OCocCsouNtGpmXRqjhlQQH6XHvgnziEy+lrQWWM7tgadDVO+hqweqU5TpIDTF+SRz9YQb3pKrTvA3DXNu2tkishezgsyxVJ0doU2PVeP78WoHtm8OeVQDulqR61UUGzTc99pB3HXKQPJMsmGjc6oxuXno6Xxryv+NW8zVc7MLD6NRqOEwonPHaFIRO5Wic5NpYXSkagPGk/JQw+Sd9NUVLm5oFZjHDOGHu+8g65v31RnKVIgGgxS9847RL3NO1lGAwFqZ71KJNA5i09Ttc7x6KOPMmTIEI499ljcbjffffcdubm5KclFdHLm/NhmvvyBcPnn0Od4UGnAmAPjbocLXgdL/A3kIsO5KuD7J+LH1n4a2zCeqcItnBPD0lwkXcgKbDtSKVXkmfLII4+7DruLGw+5EYAsfRbaeJW2olPwhXxsdyXedfFr1a+MKhqVxIySp6CHNWEsu9iEzpCZbXyF2C96C3a9heOyYVi3XILhCBqVklzZ/d257VicONawE4KZ2UHEYLHS7/AjWfjR+3Hjg48+HnWGtoAXYn/kWfRg6QbH3Qtjboh1ozPYQSujMzorlz/Ekq11CeNz11Zx/shS1KrM20+VZ9ElHIFsNajJkS6eQmDQqCnNVlOabeSlySPxBcOolAryLDrpkN6JlTt8CWP+UIR6b5DSJOaTLCadhnNHdOHHjfF3ep8xtIQso5w7hMCcj8YMOVOuxHbm2RCNoDQaUVkT3+8VmS3s8eD5+ZeEce+CBURcLpTZ2UnMKjkUSgWolZBgs7hCo0pyRjBs2DAWLlyY9NcVIiG1FmwlsY+zXwK/ExTK2Fg/VfJ/R0Sa8DW0vJZRtxny+yctnaQ66Ez4+dn4sQGnxu7lipTLvDulacqgNlBgKqDAVCCFU52cWqnGoDYkjBeZMrcjmdGqY+hxzW+1KVUKxk/qj9EqvxtC7CnXoqPIbpDCKRG7yExErYvf/jgDqNRqhp1wCiZ7VrNYYa++FPbqk4KshEhjai1Yi2N/M6RwqlPTqJSxoroESrONGVk4BZBv0TH9tIFxY387YzAF8r5KiCayTFqK7AbyrXopnOrkrHvZ0GZMwUJwshzWK4f+hZZmx0vsBs46pAsqpfxuCLGLQqVCU5CPprBQCqc6OaVWi7owcecYdX4+Cm1m3q9SqJSo7fGvK5RWbay4Sgixm94au1dlLZLCqc5Ok3h9HABTTnLySIXsntD3hObHdVY46k65l5smpPOUEEmWa8jlvH7n8cqKV5rFdCodw/LjzI7PEDqjmkNO6EZJnywWfLIZjyNAYS8bI07qji0v8eKOEEJ0ekVDQGuGgKt5bMik2I6dDGXLL2DC/Y+y7Kv/sfqHb1GpNQw94WR6jzwMc3YGX0wJIcQByDXruPaoXvzxnV+bxRQKOH9EJvYOidGqVfxhUBE988z83xdr2VTtoW+BmRuP6UPvfDOqDC0aE0KIA5Vn0dE128jW2uY7wUd0z8rozn1FNgMzLx3Jx0vLePOXrYQiUc4aVsI5w0spydrLAo8QQnRSSoOBnMsuxfXFF3HjOVOuQGU2Jzmr5FFoVajzjYSdAaKBCAqVApVVi0KjlOIpIYRIxJgLPY+GjV81j1mLwdrCJvKOzpwPp/4DNnwFP/0z1oWr7wlw6DVg757q7MRvpHiqE4r4fISqqwlVVKDQaFHn5cZ2AUi1b1JoVBouHngxq2tX83PZz43HDWoDTx39FAXGghRm1/4MZi3dD86lsJeNcCiCVq9Co5M/RUKkPXc1uKvAWxebTW7KA2Pmtd1OW5ZiuPA9eP3sWIvjXboeBuNuBU1mF6Da8gs47NyJDDvxVFAoMFpt0hlBiDQXCIepavBT4fRDFPKtOvItOrRqueZIlnF987hgZClvzd/WeEytVPDIOQdn/EKwxaBhZPdsnrlwON5AGKNWjVkv1xxCpDuHJ0C1O0C1y4/NoCHXpJMuvElUYNXz0uQRTHrxZyqd/sbjPXJNzDhvKPYMH11XZDNw2ZgenDG0hCiQbdRIwa0QaS4SiVLR4KPS6ScQjlBg1ZNr1mLUyvu+ZNH16kXeLX+k6rEZsfHxAAoFuddeg65/ho5d+o1CqUChVaHI0se+dgUolHLeECLt+ZyxdQ5XeazTjyk/1hFLJIfBBqf9H7x+LlSt3n3clAuTZscKqDKZpQCGToA+x0EkHBvVp5Zr3nQi7yI7mVB9PfXvvkf1E08QDQYBUNntlDzxOIZDDkGZoW1U002+MZ+Hj3yYSnclK2tXkq3Ppm9WX/IN+ahV+/drGW5oIOxoAEBls3aYdsl6U8vt4IUQaaRuC/x7MuxcvPtYz6Pg9H+2PE5OtB2VGkqGwzU/QOUqcFVA4cGxnRjmvP17rmgUnGUQ8sXG/ZkLY8+f5lQqddzxfUKI9OP2h/hmTRW3v7sUlz8EgFGr4q9nDOK4gQVY9PI+MBlyzTruOKk/VxzRg8Vb6zFqVQzuYifPosOwn6OX3P4Qde4A4WgUi15Ntqlj3Nix6DXy8yZEB1Hu8HHnnGV8uaqy8diAIgvPXjicbjkyviBZ+hRY+OD6MWyudrOlxkPvfDOl2UYKrPu/WaPS6cMbCKNWKsi16NB1gAJq5W+5CiHSXzAUYcn2eq55bSHVrgAAGpWC64/qzUWHdesw71c7OpXNRtaECViOOw7f0qVEI1EMQw5GnZODytJ8HGpLQoEAnoZ6wqEwGp0ec1bHuAcU6zIlG/yE6BBclfDNQ7DwXxCNxI7ZSmHCW1BwUKxVt2h/9q5w8QdQvxUqV8f+O7c32Lrs/3O5a8DfAApVbORfRxl9Z8pNdQYigfRfKRNtyvvrr1Q98kiTY+H6erZOuZKe//kQXffuqUmsE8rWZ5Otz6Z/Tut2YEQjEfwbNlDxwAN4fvwJAOPhh1H45z+j7dlTdjkIIdqGqwreuQjKfjf2Z+PX8N9b4cxnYzPLRftTqWMXEvaurX8Odw2s/g98/UCsAEtvh0OvheGXxHY9CCFEG9hS4+b6Nxc1bjwG8ATCTHvnVz64bgxDSu0py62zsRu12I1aeufv38LFnrbWevj7J6v434oKwpEog0qs3H/6IAYWWdHtZxGWEELE4/aH+Psnq5oUTgGsKnNy+SsLeGPKaPItmd1pNZ0U2QwU2Qwc1qt1n9/gCzJ/Uy33f7SSzTUedGol540s5drxvSiyZXbnQyFE8ux0eLnwxZ/xhyKNx4LhKI9/sY7e+WZOPjjDO1ekEZXJhMpkQtetW6ufw1lTzc/vv8OKb74gFAxgLyzmqMlTKOk/EJ2xgyyECyHSWyQMS96EBS82Pe7YBq+cAld9B/bS1OTWGVkKYx+lo1r3+UEflC+NrVGVLQGlCgacBsdOh6zubZio6GykuqITCdXVUf3kk/GDwSCO/3yU3ITEAQlu386WCyY0Fk4BeH74kc3nX0Bwx44UZiaEyCjuquaFU7us/W8sLjqGkB8Wvwr/uTFWOAXgq4dvHoAvpoPXkcrshBAZwh8M8+L3m5oUTu3p6W/W4wmEkpuUaLWd9V4ueO5H/rusnHAk9o+6fEcD5zz7IxuqXCnOTgiRKapdfv6ztCxubH2li4oGf9yYSE+/bKrl8lcWsLnGA4A/FOHVH7dw7euLqHL6UpydECJTfLayoknh1J5mfL6OaqecOzoKd30dH854gF8//y+hYKyLWH35Tt5/6F62r1qR4uyEEBnDWQ7zHo8f89bFCnBEx1G9FmaeuPvfLRKGFe/DyyeDY3tKUxMdmxRPdSLRQIDA1m0J4/5Vq4iGZCGjI4gGg9S9/Q4Rt7tZLOJ2U//OvxvHMnY29b56Njk2saZ2DeXucsKRcKpTEqJj81QnjkWj4HcmLxdxYJwV8O3D8WO/vtFpC+Gi4TDBsjJ8q1fj37SJUF1dqlMSokPzBsOsr0xcVLOxyo03IO/POopfNtWw09F8oTscifLI/9bg9HXOa44Gb5BN1W5W7mxge62HQEh+poU4EG5/uLFAM56KBim46SgqG3zc95+VcWOLt9azrc6b5IzSQzQapdzhZXVZA+sqnFLUIUQbWLEj8QawrbVuguH4hVUi/dRXllO+fm3c2DevvIC7vjbJGaWHSCRCKBgk6PcTCgaJRNr3Z3r69OkMHTq0XV9DiJQK+2NFUolUrk5eLuLA+Brgy3tjBVO/59gOW39Mfk7pwlkJlaugYgU0xN+gJFomY/s6EYVej653L7yLl8SNG4YNRaGWH4mOIOxy4f7++4Rx1/ffk33Zpag7yFzwtrLJsYk/f/9nllcvB8Cms3HLiFs4uvRorDoZKyZEq5jyE8cUShnZ15H46iDQvOi2kWNrbLZ4JxKqd+D64nMqHnmUiCN241U/dAjFDz6IrkePFGcnRMdk1Ko5qMjK0u3xFzMGFFkx6mTUW0cQiUT534qKhPFfNtXi8oew6DVJzCr1dtR7uev9ZXy9topoFAwaFVeP68WFh3Ylx6xLdXpCdEgWvRqNSkEwHL+AqlhGvXUY7kCYrbWehPGFm+s4pGvnulflCYT4ZVMtd7y7jPLfCgF755uZcd4QBhZZUatkb7MQrXFItyzmLNkZN9Y734xWI79bHcXONfGLbgHqK8oIeH2Y7MnLJx2EQyFctTX4XE6i0SgKhQK9xYI5KwdVK9fwxo8fz9y5cwHQ6XT07NmT66+/nmuvvbYtU29CoVA0OzZmzBi+b2FtS4h2o9aDuWD3RIbfKzo4ufmI1vM7YcsPieOrP4ZB50Ccv0EZKxyC8l/h/augel3smLUETvsHdD0MtMbU5teByDvITkRts5F3001xYwqDAesJJyQ3IdFqCq0WVU5Owrg6OxuFVpvEjFKvzFXGpZ9e2lg4BeDwO7hr3l0srlzcZq8TrKjEv349/s2bCdfXt9nzCpG2zHnQbUz82ODzWi6uEulFvZdFJ70tOXmkEc/8Xyj7y12NhVMAviW/snXyZIJlbbQzI+iBui2xHR/1WyEUaJvnFSJNadVKLh3bA5Wy+Q0KpQKuHtcLg0Y2bHQESqWCYnvic0eWSRv33zmTVTn9THllPl+tqWocTekNhnn8i7W8s2Bbm3U4qHb5WV/pYn2li2qXdCcRmS/XouWCkV3jxg7uYiPfKoWJHYVGpUDbQjFQQSf8t9xQ5ebSl+c3Fk5BbBzl+c/9xI76tunEFQiF2V7nYW25k621HrxBmSwgMt/4fvmYdfGvK247oT85ps7396ajMtmzE8ZUGg3KDrrh3+dyUrtjO2Xr1lC7czs+175174+EwzhrqvA6G4j+dtERjUbxNjTgrKkmcgCTNqZMmUJZWRkrV67knHPP5brrruOV118n2I5drWbOnElZWVnjx4cffthuryVEi8yFMO72BLECKDgoufmI1lOqwJSbOG4t6VyFUxDbGP/yybsLpwAadsDr50Dt+rZ5jUgYHDti6xy1G8GXmVNppHiqk9EPGEjRgw+itFgaj2lKSuj28kw0xcUpzEzsD5XJRM7llyeM51xxOSqTKYkZpd7SqqXU+Grixh5b+Bg13vixfRVxu3HNncvmCRPYeMqpbDzxJLZdcy3+jRsP6HmFSHvGHDjreeh93O5jCiUMPh+Omw46c8pSE/vJlANdRsSPWQrBUpTcfFIsVF1N5aOPxY9VVuFdtjxubL80lMEnf4KnhsPTh8Y+vnsUXJUH/txCpLFu2UZevnQkeZbdCxa5Zi0vXDyC7rmy06kjOW9El4SxK4/sSV4n67S0o97DyrL4N4ee+WYDlc4DGy0WCIVZsrWOiS/8xLEz5nLsjLlMfOEnlmytk9GAIqMZNGpuOLo354/o0qQo8/BeOTxz4XByO9nfmo4sx6TlrENK4sa0KiXDOlnXKZc/yBNfrG0suN2TNxjm/UU7iLQwsnJfVLv8/PPrDRz/+Lcc/8S3HPPYN0z/cCXlccbuCpFJutgNvHXloXTP2X19Ydap+dsZgxjW1Z66xMR+K+47IGE3pYFHHo3J1vE2+zlrqvjo/x5m5rSreeMvf2TmzVfz8ZOP4Kyp2uvnRsJhfC5X3JjP5SSS4LrA6XQyadIkTCYTRUVFPP7444wfP56b9mioYDQaKSwspLhbdy667U907dWbt96fwzqPH3+cjSAvvvgiAwYMQK/X079/f55++unG2GWXXcbBBx+M3x/b7BEIBBg2bBgXX3xxk+ew2+0UFhY2fmRnJy6WE6JdKZUw8HQY/6dYF6pdCgbBJR+DLfH9D5FmzAVw2PWJ40MnJS+XdBAJw+LXIBhnY0Y0AnMfBn/888o+89TCktfhuSNiaxz/OATevzK2WTzDdMyS7U6q3lePP+xHo9SQbWjdGwyV1YLt1FMwjh5FuK4OhUqNKjsLTb50Dulo9AMHkD15MrWvvNLkePYll6Dr3z9FWaXOospFCWObHJsIhA+s04dv3Tq2XX0Ne97x8i5ezJaJk+j+7my0JfFvDgqRStFwmFB1NUSjqKxWlMZWLljbusDZL4K7GvwNYLDHOk5J4VTHYsyBM5+HWafFZn/vorfBhLc7XfFUxO8nuGVLwrh38WKsxx+XML5Xnlr46CZY++nuYwE3zH0IQn4YfwdoZASNSD9OXxCXP4RKqSDPrIvbZn9vdBoVY3vn8uH1Y6h1B4hGY4upBVY9yk7WqaijK7Yb+NsZg/jLB8ubLPweOyCfkwYVturnoyNbX5l4/G2DL4Tbf2AFTtvrvJz//E/4Q7sXLtZWuDj/+Z/45MYj6Jkn771E+olGo1S5/IQjUUxaNVZD60Z55lv13H3qQVx7VG8c3iAmnZpckxabsXN11e7oDFo1U4/pw7IdDlbsbGg8rlUpeXHy8E7XecrtD7N8R/xRxgDzt9TiC4Uxalt3i94XDPPSdxt5Zu7ujX3BcJS352+jqsHPjPOHYJffIZGGPP4QDl8QpUJBrkmLqhXjK5VKBYNKbLxz9WHUugMEQxGyTVryrTo0KhkT3pGYs7M5/da7+OCR+wmHdnfOy+/Rm8POnoBa27HOHT6Xk/89+yRbljadhrH510V89tw/OHnqrejNlgSfDZG9dIFKFJ82bRrz5s3jww8/pKCggLvvvptFixYxdOjQJo8LRCKs9/gIR0Fv0BMMBAlGotSFwuxZz/v6669z991389RTTzFs2DAWL17MlClTMJlMTJ48mSeffJIhQ4Zwxx138Pjjj3PnnXdSX1/PU0891fI3SIjWclVBOAgaPRhbWYRnyoUxN8GQCeCtjRVRmXLBlNemqYp2plDAwDNgw1dN770rFHDyDLCVpiy1lAh6YdvPieM7l0DA1fr1vGgU1n8OH97Q9Nia/0LNOpj8n4xaW5LiqQ7AFXCxqnYVTyx8gnX16yg2F3P1wVczumg0Wfr937GlUKvRFheDdJrq0NRZWeReew32c8/B9f33oFBgHjMGdV4eqg64G+NA9bT3TBjLM+ShUrb+ojnkcFD52AzibRUM19fj/uEHtOee2+rnF6I9BMvLqX/3XerfepuIx41p3Djyrr8ebdeuKFrT7tpgj32Iji2nF1z2GVStgrKlkNMbioeCtUuna2WrUKtR5eQQronfmVDbM/F5ZZ+4q5pevO3p52dgxGWQ1e3AXkOINuQLhtlQ6eKR/63h50215Ji1TDmiJycNKiTfqt/7E/yOQqGgyGagyCZFgh2ZRa/hjKElHN47l3nrq3H5Q4ztnUuRTU9OJ+wEU2JP/LugVSkxaFp/zREIhZn5w+YmhVO7+EMRZv6wmbtOHoBWLYuBIn1UOX18uryc577dSI0rwIjuWdx+Yn965Ztb9ftg0qkxJRjBJDqOYruBmZeMZEuth/mbaim06RnRPZtCq67T/Q3TqZWU2A1UNMQfwdorz9zimMO9qXL6+de8zXFjX62ppNoVkOIpkVbCkShbatz835fr+HJVJQaNigmjSpkwumurrxvyLXryLft/vSLSh1qjpfSgwVwy41l2rFmJu7aW4v4DsBcUYc7qeF2KPA5Hs8KpXTb/ugiPw9Fi8ZRiLxuO4m1IcjqdvPLKK7zxxhscc8wxQGxcXnGcNUBnKEIgFObT2e+wdvlyzrrkssZYMBolFImiViq45557eOyxxzjrrLMA6NGjBytXruS5555j8uTJmM1mXnvtNcaNG4fFYuGJJ57g66+/xmq1Nnm9CRMmoNqjoPG1117jjDPOaPFrFKIJTw1s+g6+eTDW5Sa/PxwzHYqGgqEVa6EafeyerNyX7dgsBXD6P2ObxDd+Azor9BwX60rV2Tb9q3WQ3Qs2fx8/bu/atNva/nKWwRfT48eq10HNBimeEskTjoT5bsd33PbtbY3HNtRv4NZvb2XK4ClcPvhyTJrONZ5N7Kay2VDZbOh69051Kil3ePHhaJVaApHmHaauGHwFeYbWV45HvV58K1YkjLu/n4f97LNRKGUSqkgPwYoKtl13Hf4VKxuPOf/7Ca5v5tJj9r/RHWhRiOjYbCWxj97HpjqTlFLn5ZEz5Qoq//5Qs5hCp8N06OgDe4E9u3v9XsgPvsQ70IVIhRU7GzjvuR8J/7bVdHudl3s+XMH366t46OyDyTZ1vkIZEWPSq+mhV9MjV647u+WYyDPrqHI1XwQ/65AScs2tX6B2+8Ms3FyXML5wcx0uf4jsTlZ4INJXrTvA3R+s4JPl5Y3HvltXzQ8b5vHWlYcysnvHW+wUbSffqiffqu/0Pwd2o5Ybj+nD5Jnzm8UUCpg0uivqAyieavAF4xbd7rKz3kvv/E62eCTS2pYaN6f+43vcgVi3Tpc/xJNfrefzVRXMvGQUhTYpguqs1Bot9oJC7AWFqU7lgPk9ibvVAvi9LceVShUanZ6gv/n4VY1ejyJOZ7WNGzcSDAYZNWpU4zGbzUa/fv2aPO7pp5/mhRdfJBAIoFKpuPC66znv8imN8ShRIkRxuz1s2LCByy+/nClTdsdDoRC2PTbuH3bYYdxyyy3cf//93H777YwdO7ZZbo8//jjHHrv7HmRRUeYssIsk8Lvg5+dinfx32bEoNlnhzOdg0Lkg3QY7L1Nu7KN4aKozSS2VBkZdCYtnxW0CwpG3HlhjhKAXGnYmju9YCN2b//3vqGSlP81Veat48OcH48b+tfxf1Ppqk5yREOmpyFjE88c9j1W7e2eDAgXn9jmXE7qfcGAjRdRqNAWJR1tqe/SQwimRVnyrVzcpnNol6vFQ9dRTRDyeFGQlRHpRKJXYTjkF29lnNzmutNno+q+X0BzozRxjTstxTSvHaArRDmpcfu7+YHlj4dSePl9ZSVl985u2QnRGxXYDr10xisLfdWMb1zeXm47ti6GVY5cAdBolRS10tiqy69EfQGcrIdpaucPXpHBql3Akyl1zllMdp8hQiM7o4C52bjm+L6o9OoXoNUr+MWEYpdkHdk2wtw5vWcbWjdEUoj14AiGe/GpdY+HUnlaVOVm+UzYYicygM7a86URnaDmuUquxFRSi1jbdmKHW6bDlF6JStf6aY9KkSXz+yy98vHQlP5ZVccsDD6H83bqGAnC5XAC88MILLFmypPFj+fLl/PTTT42PjUQizJs3D5VKxfr16+O+ZmFhIb179278MJlkU47YD+4q+O7R+LFP7wBXWXLzESJdZXWHs15q2mFKqYZj74WiIQf23Cpty2sZ9szq4iadp9Jcvb+eOn/83afhaJitDVsptXSy2Z1CxKFWqRmSP4TZp85mh2sHrqCL7tbu5OhzsOgSt8HdF5rcXHKuuoqyO/7UPKhUYjvt1AN6fiHaWsNHHyWMub6ZS7ihAaVRCjeEUOfmUnD7beRccTmBzZtRWixoS0pQ5+fH3cm3XywFsYuWus3NYz3Hx3bFCJEmXP4QK3Y2JIzP21DDQSWdbyy0EPH0K7Qy57rD2enwUesK0DXHSJ5ZR5bpwMYiGbVqrhnXiy9XVcaNXz2uF8YDKM4Soq39vCn+6GOA1eVOnL4QuZ1wvKcQv5dl0nLpmB6cNqSYDVVuNGol3XOM5FsOfIxhjlnHEX1y+W5ddbNYabahVaOXhWgvDm+QrxK8zwF4f9F2ju6XH3ckmRAdidFmo/uQQ9j866Jmse5DDsFo2/u1tVqjIauohEg4RDgUQqVWo1SpUanjXw/07NkTjUbD/Pnz6dq1KwAOh4O1a9dy5JFHNj7OZrNxSL/+rHHH3yClUSjQKJUUFBRQXFzMxo0bmTRpUsI8H3nkEVavXs3cuXM54YQTmDlzJpdeeulevz4h9ln9Vog0L7oFwFsHnlqwdUluTkKkI50Z+p8MXeZD7UaIBCGnN5jzQXuARavmfBhxOfz4j+YxrQmKhx3Y86cZufOW5tTKlv+J9Acyo1KIDKNWqikyF1FkbvvWr+YjjsA+4QLq33yr8ZhCq6X40UdQS6tZkWaUFmvimMEQmw8ghABAZbWislrR9ejRtk9sKYKJ78CrZ0LDjt3HCwbBaf84sFa5QrQxlUKBSqmI23kKwKyTbjdC7KnQZqDQZmjz5+1TYOHOPwzg75+ubvx9VCkV3HFif/rI2CWRZsy6xPerlAqadNkRorMz6dSYdGq65rRttw2bQcPfzxrMFbMWsKrM2Xi8yKZn5iUjKZDiKZFGlAoFBq2KBl8obtyi10jhlMgIerOF46+6gc+e+0eTAqruQw7h+KtuQG/et43eKnWsWEqzD7XoFouFyZMnc+utt5KdnU1+fj733HMPSqWy2UQOrVJBN4OWrb5Ak+lORpUS5R6Pvffee5k6dSo2m40TTzwRv9/PggULqKurY9q0aSxevJi7776b2bNnM2bMGGbMmMGNN97IuHHj6Nmz5z59jULslWYv72VU0mVTiEYaPWR1jX20JbUODr8OqlbB+i92H9fbYNJssJa07eulmBRPpbksXRa97b1ZX9+85aVZY6bYVJyCrITofNQ5OeTffDPZF12Mb9UqlCYjut69UeflodTJblqRXuxnnUn9G2/EjWVdcD7qnL2MExNCtI28fnDFF1C3BRzbIKdXbDeUuSDVmQnRRJZJywkHFfDfZc3HLykUcHgv6ZQmRDLYDBomju7K8QcVsKqsgUgUDiq2kmvWYWqhUEWIVBjZPRulAuLV3R47oEDGhQmRJCVZRmZdNoqyeh8bqt2U2A10zW6fIl8hDkSuScuk0d2Y8fnauPEJo9p4oU+IFLLk5HHy1FvxOBz4vW50BhNGm22fC6daY8aMGVx99dWccsopWK1WbrvtNrZt24Ze37T4RKlQYFWr6GfS4w9HCAMGpRKzSslhCCvfAACcYUlEQVSeZVZXXHEFRqORRx55hFtvvRWTycTgwYO56aab8Pl8XHjhhVxyySWcempsKseVV17Jxx9/zEUXXcS3336L6kA7ugsBsaIMvR189c1juX3BmJ3sjITonCxFcObz4CqHipWxqRo5vcFaDMrM+nuf8rtvO3bs4Pbbb+eTTz7B4/HQu3dvZs6cyYgRI1KdWlrIMeTw9yP+ziWfXoIr6Go8rlaoeWzcY+QZ81KYnRCdh8PvoDZai9fmxT5uKHadHW1LM16FSCFNly5kX3E5tS++1OS4rl8/7OeeiyJBi2chRNuJRCNUeiqpDzWgsuSSld+HHH1Osx1/QqQDk07NHScNYPHWesocTdv3P3DGYPIsUiguRDK4/EGqnQGc/iADi61kGbRYDFKAItJTvlXH388+mNtmL21yvNCq586TB2DRy8+uEMlQ0eCj1h1ApVJweM8ccsxa1CplqtMSohmVSsm5I7rw2Ypylv9uZPgVY3vQNVvus4rMojdb2rVY6vcsFguvv/5643+73W7uvfderrzySgC++eYbACKRCJFIBEUkgkGhQKVSoVQque/ee7nv3nubPOfEiROZOHFi3NdbsWJFs2MffPBBk/+ORuN3txZin5kL4bxX4PVzIBzcfVxngbNfkg2qQiSLuwrcNRAOQbfDY8VT6sy8X5zS1dO6ujrGjBnDUUcdxSeffEJeXh7r1q0jKysrlWmlnT5ZfZh92my+3fYtCyoW0CerDyf1OIlCU+Fex/oJIQ7cTtdO7pp3F7+U/wLEihfP7ns2Vw+5mlyDdGIQ6Udtt5NzxRVYTzyR+nffJexowHbqKegHHoSmID/V6QmR8TwhD7+U/cI9P9xDra8WgAJjAQ+OfZAh+UPQqrQpzlCI5rpmG3n3msOZv6mWz1dVUGTTc87wUkrseul4I0QSVDT4+NvHq/ho6U4i0VjXt+MGFHDv6QdRJN1DRBoyatX8YXARQ0vtzF64nR11Ho4dWMDoHjkU2+VnVoj2FgpHWLbDwQ1vLmZ7nReIdTC87/SDOLp/vhQwirRUZDPw0iUjWbGzgfcXbcdi0HDByFJKs4xkmeQ6WYgDsXjxYlavXs2oUaNwOBzcd999AJx++umNjwmHw7hcLtxud+MxjUZDVlYWatlsK9KRSg1dD4drf4bl70HFcuh2GPQ9EWzSsVCIpKhaA7Mvi/3+AWiMMO52OOQiMGbelJuUng0feughSktLmTlzZuOxHj16pDCj9KRUKCkxlzBhwATO738+SoXsHmoVb32sMrJsKWiNkD8wVpW8t5m5olOr9lYz9auprKlb03gsFA3x9pq30al0TB02FV2GVteKjk1tt6O22zEMGkQ0GpVuN63kqvfTUO3FWePDnm/AnK3HZJPfedGyLY4tTP1qKlF277Cr8FRw5RdX8t5p79HDJu93RXoqths4fVgJpw4pRqmU80ZruP0hql3+2Mi1CBxUIiPXxN45fUH++tFK/rO0rPFYNAqfrazAGwzzjwnDsBtlQVGkH7NOTd8CC3/+wwAikaicO1qpyuljZ72PjdVuim16uuYYpWhS7NX2Oi8XPP8T/lCk8ZjDG+TGt5Yw++rDGNFdxtiI9FRg1VNg1XNUvzy5V9VK4XCAQKASt3stoZAbi2UgWm0uGo0t1amJFHv00UdZs2YNWq2W4cOH891335GbG9v8HY1G8Xg8TQqnAILBIDU1NeTm5sqoPZGe1FrI6QXjboVIBJSyRt4q7prfRq6tAGMu5PaJjWJTyf0q0QLHdnj55Fh9xS5BD3xxD5jzYOik1OXWTlL6G/Hhhx9ywgkncO655zJ37lxKSkq49tprmTJlStzH+/1+/H5/4383NDTEfVxHEKqrI1RZiXfZMlQ2G/oBA1Dn56PUtnxDVAqnWslVBXP/DvNf3H1MpYWznoc+J8SKqYSIo9JT2aRwak9vr3mbif0nUmIpSXJWYn9kzLkjEoGGHVC9Bhw7YgWgWV33qTWt3IxqnbpyNx/+3xJcdbt/frKLTJx83cFYc2UxQ8TnDXp5funzTQqndglFYsW3fxz+RzQq2QmerjLmvAE0eINUufws3lqHRqVkSBc7eZa9F/LI4nfrOLwBZi/czgP/XU04EvsboFTArSf0Y8KorlL8IhKqdgX4aFlZ3Nh366qpdgXk5yfNZdK5o9zhZUuNh41Vbrrnmuieu2+FPHLuaJ0ddR6mzFrAyjJn47ECq47XLh9Nn4LkjfoRHUs0GuWDJTuaFE7t6bHP1vDcRSOwyujXtJVJ5w1PyEONt4ZlVcsIRoIcnHcwOfocrDpri58n96paJxz2Ulv7PctXTCUSCTQeLy46j549/4hOJ1MSOqthw4axcOHChPFdXacSxUKhkBRPpblMOnfgqoT6bbFONtZiyOsP1pK9F0ZJ4VTrOMvhgxtg/We7j+msMOnfUDJCCqhEYjuXNC2c2tPXD0Cvo2NFeBkkpb8NGzdu5JlnnmHatGn8+c9/Zv78+UydOhWtVsvkyZObPf7BBx/k3t/N3O2IQlVVlN13H67Pv2g8ptBqKfm/JzAddhhKvXRCanMbv2paOAUQDsDsS2PtHvP6pSYvkfZ2OHckjPnDftwhd8K4SA8Zce6IRKB8Kbx6Bnjrdh8vPBgmvAm2LilLLVO5HX4+fnppk8IpgNoyN1/NWsWJVw1Gb5Ib0aI5T8jD2rq1CePLq5fjC/mkeCqNZcR5A6h1+3nmmw288N2mxmNKBdx96kGcNaxEFtPawYZKN/d/tKrJsUgUHvp0DYd0zWJ0z8xrZS3ahtMXJNq85rZRnSeQOCjSQqacOzZVu7nopZ8bR4ABFNv0vHbFaHrmmVOYWWZq8Aa5c87yJoVTABUNfi6ZOZ93rzmcQpvcIxTNBUIRFm+rTxhfW+HCEwjL+700linnDVfAxSebP+FvP/2NcDTceHxi/4lcNeQqsvXSAa2t+XxlLF12LdC0eHJn2TtYbcMoKT4vNYmJtBeNRom2cNERCoXQ6aTbfjrLlHMHju3w9oWwc/HuY3o7XPQeFA2TAqm2FgrAT880LZwC8DfAq2fCtT9BVrfU5CbS356/p7/n2A4hf+J4B5XSv0CRSIRDDjmEBx54gGHDhnHllVcyZcoUnn322biP/9Of/oTD4Wj82LZtW5IzPnDRcJj6OXOaFE4BRAMBtl9/A8GKihRllsFcVfDdY/Fj0SgseT25+YikiUQjVHoqKXOVUeutbdVzFJgSd/VRK9QY1NJ9Jt1lwrkD50547aymhVMQK6j69E/gd8b/PNFqHkcAR6U3bmzH2nq8TlnEzFTuoJsydxnl7nK8ofg/Ay3RqXR0tXZNGO9l7yXjXtNcRpw3gMVb65sUTkGskGf6hyvYXCPF323NEwjx3NwNCeNPf7Metz+YxIxEMlU6feyo81LZ4GvV55v30g3OJovfaS8Tzh3VLj/Xvb6oSeEUwE6Hj6teXUiVM/NuiqZajTvAN2vi7+LdUe+lopV/U0T68wXDlNV72Vnvxenb//cHGpWS/oWJO5N1zTai18jCYzrLhPMGwHbXdu778b4mhVMAb6x+g0UVi1KUVWarqPyI3xdO7bJlyzP4/Qm6Q4gOLxQJEQgHCIaDLRZBJaJQKFrs+KZWS+eZdJcR546AG76Y3rwgw1cPr54Vm7wh2paronlzkV2CHti+ILn5iOQJB6FhZ6zIydO6NXLyBySOmfJiU74yTErPhkVFRQwcOLDJsQEDBvDuu+/GfbxOp+vwlc+h6mpq/zUzfjAcxvX1N+guad51Kx2EQyECXg8qjQatvgMVjESC0BB/BAIANRsgEgKlvDnMJDXeGv676b+8tOwlanw19LL34o/D/8iQvCF7bRu9pyJTEaWWUrY5m78RPaXXKeQapBVyusuEcwe1m8BTEz+2+iNw3we69Bzp4PYHCYSjWHRq1KqOc/PW52n5BnYwEP9Glei4ItEIWxq28OSiJ/l629coFAr+0OMPXDPkGrpY9r27m1lr5qqDr+L7Hd83iylQMGnAJLQZeFGRSTLhvFHvCfDPr9cnjM+ct5mHzj4YrToN/y5HwuBzgFID+vQ8t8UTCEbY6Ui8yF3u8OMPRTB17B8t8Tt17gDfr6/m0c/WsKXGQ4ndwE3H9uGYAflk78c/drZJy5F98/h2bfPFrqGlNnJMct5Id5lw7qh1BVhZFn/0x7pKFzUuP3mWNP0aAx4IeUFrAXXH+X3xBkItxmvdUrCWibbXefjnV+t5b/EOAuEIR/XL408nDaBHrmmfr5mVSgXnDi/lxe82EYo0X0C/6bi+Mu41zWXCeSMUCfHW6rcSxl9Y9gLDC4aTpc9KYlb7wVMHCgUY7KnOZL943BsTxvz+cqLRls8touMJR8J4Q14qPBX4Qj5UShU5+hzsOvt+dTVXqVQYjUbc7uabqZRKpYzs6wAy4dyBuwpWvBc/5quH6nVgL01qSvss6IOgGzRG0HSwNfJA/JGdANRvSV4uInkayuCX52OFc/4G6DIKTnwQCg7av5/f0lGxEY/+OPcKjpgG5sK2yzlNpPRu+ZgxY1izZk2TY2vXrqVbtwxuDxeJEK6rSxgOpmGlcCQcpq5sJ9+98TKz/3YXH//fw2xbuRyvq4N0OtEYoXho4njPo6RwqgMIRUKUucr4tfJX5pfPZ7tzO56QJ+5jG/wNPL7wcR6e/zA1vljByYb6DVz75bV8t+M7ItF9L3rIM+bxzLHP0NPWs8nx8V3Gc8OwG6TzlEgOVwtdCaOR2EJBmql1BfhubRVXvbqQC1/8mSe+WMfWWnerdkalgtme+EJUqVagM8p5oyMINzTg37wZ948/4V2xosUOnztcO5j08SS+2PoF4WiYUCTEhxs+5KJPLmKna+d+vW4vey+mHzYdvWr3mBWTxsSM8TP2qxBLiNYKhCJUttAhpMzhJRAOJ4ynTN1W+P7xWNvwtybAmk/BVZnqrPaJSa9iZPfEC0MjumVh1kn3oHQXjUYpc3hZur2eH9ZXs7nanbAjiD8Y5t8LtnHDm4vZUhO7LtlR7+XW2Uv51/eb8eylKGJPdqOWv581mNE9mv4MHdzFxlMTDyHH3MFvkIsOwRts+bzg2Us8JXwO2DYf3psCs86IdeWtXgvhjtEl1qLXtNgdqEuWMYnZiNZy+0NsqXHz04YaFm+tY2e9l3CcgiaAnfVeLnj+J96cvw1/KEI0Cl+truK0p+axtTb+Pa5ESrIMvDR5BFbD7mtTrUrJnScPYEgX2wF9TULsi2Ak2OK1crW3mlAkDQt5HDtgwb/g9bPhjXPh17da3nidZrJzxiaMWcyDUCrlXnVHEA5FCAbCBLwhQoEwkXDi9QpPyMOWhi34QrHNOuFIODZtw122X79jCoUCs9mMwdD0Z0SlUpGTkyOdp0RyBH2xTXOJuMqTl8u+CnqhYgV8PC12zfHB9VC2FPwtFCSlE40B7ImnJNBlRPJyEa0X9EHdFtjyA2z5Eeq3xkYyxuOqgHcuhu9n7C562v4LvHQclC/bv9e1doHJ/wFL0e5jCiWMuhIGnZuRYzZTeja8+eabOfzww3nggQc477zz+OWXX3j++ed5/vnnU5lWu1LodOgGDMC/alXcuPGwQ5Oc0d5Vb93Mm/fcRsgfW4Cp3LSBjYvmM+b8Cxl24mnojGl+M8dgh2PugZeOjY3paxLLgr7HpyQtse/8YT8Lyxdy67e30hCI/aFXK9VcO+Razu13Lnadvcnjq33VfLDhg7jP9cj8RxheMJxC075Xw3azduOlE16ixltDg7+BXGMu2fpsbDq5GSWSJK9f4pjennZdp+rdAZ74ci2zfty9a2HFzgZm/bSZ968ZQ698cwqz2zcGi5YeQ/PYtKR5B4iDx3fBZJVdvOkuVFVFxcMP0/CfjxqPqYuLKX32GfR9+zZ5bDAc5M3Vb+IMNi8Mr/ZW8+XWL7lwwIUttjffk0Vr4ZRep3Bo8aFUuitRKBTkG/PJM+Tt165AIVrLrFczontWs9FLu4zplYtRk2Y3Rms3xS7i3Xv83d38HQw+F078O5jSu9unRqXiwkO78frPW/GHmt741qqUXDa2R3p2+hKNIpEoq8oauOyV+VQ0xK59FQq4YEQp047v16zjTpXLz4wv1sZ9rmfnbuC8kaV0zd7337Niu4FnLhxBjctPjStAlklDrlknhVMiaexGDSqlIm7Rh1IR65CWVgJuWPpv+O8fdx8rXwqLZ8Hkj6Dr6NTlto/yrTquGNuTp+J0ixzXN5dc+f1Pe7XuAP/6fiPPzN3Y+LuTZdTw7IXDGdbNjvZ3XTx+WF8d9/2ZNxjmmW82cN/pB2HQ7tu5Q69RMaZ3Lp/eeCQVDT6C4QhFNgO5Fh0GjXQPEe1Pr9JzePHh/Fj2Y9z40LyhmDSmJGe1F44d8OoZsULbXbb9EuvGcN4ssBYl/NR0kWU/DI0mh2CweYf63r3vQKu1Jz8psV9CwTCOKi/h4O7rRq1ejSVHj+p314zBcJAyV/ziPmfASSgSQr0fjQFUKhU2mw2z2UwkEkGhUKBSqaTrlEgenRmM2YlHiOUPjH88VSIR2Pw9vHFebBM7xK45VrwL58yE/ien/9gySxEcMx3evax5LKcX5PRJekpiP/kaYNWH8PEf4bdCWrQmOPUf0PeE2O/Vnmo2xoqlfi8agU9uh0mzwZSzb6+tVELREJjyVWyDa8AFluLYyL4ONDFgf6T07u3IkSN5//33efPNNxk0aBD3338/TzzxBJMmTUplWu1KnZ1NwR23x48VF2M4aFCSM2qZx9nAZy881Vg4tad577yOx1Gf/KRaI38ATJwN9j26mnUZBZf9r+WKW5EWylxlXPfldY2FUxDrRPXk4idZUrmk2eM31G1I+Fw1vpomz7Ovcg259Mvux8iikfSw9ZDCKZFcliLofkT82Pg7wJxeN3fKGnxNCqd2afCGePCTVbh8/8/efYdJVZ59HP9O7zPbK3XpXURQRAV7w240ioqxoAZjiyWJiWJ8E5OoaIwlRg1qrFFjiTF2EcWuYAEBKdJhe5stU98/JiyMO0PdnZnd/X2uay/lPLNn7j0se+85z/3cTwauPPwBu8vC5B8PZsSBJRjNsYIZi83EPsf0ZewRfTFb9VAhk0WCQaof/Udc4RRAaMMG1pz7E4Ib4x881QXqeHftu0nP9+bqN/EH27c13x6byUapu5SxhWPZq2AvStwlKpySlHFazcycMhCLqX3Bn8dm5oSxpRiNO1cMmBLBZnj31vjCqS2+fgZqvk95SLujT46Tf140kSGFWx8eDCpw8/RF+9E7VyvAM92GumbOeOCjtsIpiK29efLTtTzz2VrCP1gNXu0P0BJMvEI8FIlS0ZB8G8dkclxWBhV62G9ALkOKvCqckpTKc9s4c9/Ez0dO26c3ee4MmxTwV8Brv2h/PByAF3+6/e69GcJmNnHupH5cefhgXP+7v7CYDJy+Ty/+eMoYsjOtYE3aee+7Cu5+Z0Vc0WFNU5Bz/v4JG2vj80BrMMzLXyfvbjN3WQV1zbt2r2w2GSnJcjC2TzYT+ufSO8epwilJGYPBwOF9D8dr9bYbMxvMXDzmYpyWDFp0HY3C4hfjC6e2WPcJrElcBJZpHI5Sxu39FFm+CW3HbLZiRo9+ALd7aBojk50RDkWoK48vnAIItIRorGkl8oMi9kg0QjCSuBMuQPNu7EZgNBqxWCzYbDasVqsKpyS1PMVw8K8Tj/XeD3ylqY1nRxo2wguXbC2c2iIahZd+Bg2Zf88BwIBD4IR7ty5MNBhg8NFw1gtdonC4x6tYCi/O3Fo4BbHFRM+dB9UJtvNd/mbyc234YvvbOCZiMIC3JLbLV78DILes2xZOQZo7TwFMnTqVqVOnpjuMlLKPGEGv++5l8//9juD69WAw4JoyhaJf/RJLcWbtDdna2MDmFd8lHoxG2fjdErKLS1Ib1O6wumDQYXD+a9BcByYzOHJiFc6S8f698t+EkuzXft/C+xiTP4Zs+9YtLjzW7f/Qthr1AFK6GFcenPw3mPsH+PLJ2ISAMwem/BJGnBL7mZZB3l6SfIult5eUU9ccwG3PrJgTcWXZOOBHg9j7yL4EA2EsNhMunxWTWQ8VMl2oooLqxx9POBaurqZ1+XIsxVtvDC0Gy3Zzh9fq3aWVfCKZoG+uk6dnTOSX//qapZtjXdXG9c3mdyeNpFdWhhXyNFXHVu0l8/UzXaKNuNlkZEzvLJ64cF9qm4JEiXVyUeeQruGrdXXUJynw/tt7KzlpbCnF2/zbsZq2vxbNpt8XpItx2cxcdsggsh0WHnp/Ff5AGKfVxLn79+Mnk/pn3tajFUshnGQysWo5NNWAuzC1Me2GPLeNn04p49S9S/EHwtgtJvI9VhyZ1iFS2qloaOHPbyZ+ZtoaivD64s1ceGBZ2zGTyUCOM/nzKK/djCmTittFdkKJu4RHj36Umz+6mc83fw7EtrG/Yb8b6OPNsAXLTVWw4B/Jxz+fA4OOaN+9IQO5XGWMHn0fwWANkUgIs8WL3Zb5OU8gEo4SDiVegNHaFMSVZcVo3HofsaMO6CZDx91zzJo1ixdeeIGFCxd22DlF2jGaYMSJsW2/3vk/8FeCyQKjTodDro91s8kkTZWJF/oBtDbEFmxk9U5tTLvDmQ1jzoCyKbFt3Mw2cOaBvX0BtGSYgB/evz35+Id3w3F3gcW+9dj2uveb7bF/h5KU7sTTwOR24zn4YOwjRhBpaMRgMWPKycHk3vqLeUtjkGAgjMEADq8V0w4ezHaW9s3afzD+w23wMp2nOH5fTsl4oUiIZTWJt8MAWNe4jkA4fl/Xvt6+OM1OmkJN7V4/rnBcXKGVSJfhLYGj/ggH/q81p9UV+3n2v190IuEwTXU1RCIRzBYbTl/6uqNtLzdE2XFuySRmqwlvXoYVGcgORVtbiTa1zwFbBFavhgO3dnPz2X1MHzGda+ddm/D1Zw8/G7vZnnBMJFNZzSb27pvNExfuS11zEIPBQJbDEtfFoqElSH1LCAOxjjf2tHYq2E526GL3HLnaaq1LWlGefOVdbVOQwA86T+W4rPTPc7Gqsn1nwkKvLfO69IjshHyPjZ8dOpDTxvemJRjBYTGS77Fh/V8xYDQapbyhlVA4gsVkpMCbzt+PdvjEKiVRdASLyURpdgZ1Z5GdEopEWVOd/J5j8Yb4rudmo5GzJ/blXwvWJ3z9eQf0b7dFrEimMxgMDMgawJ8P/jO1rbVEohG8Vi+5jq1bwTQFm6gL1AHgtXhxWdO1ld8OnkhFu9YTK4slC4slK91hyC6KhBMXTm3xw1tfk8GEx+qhIdDQ7rUGg2GXnlVNmTKFd9+NdV232WyUlZVx6aWX8tOf/nSnz7E73nnnHW6//XY+/vhjGhoaKC0tZZ999mHmzJkcdNBBnfrekqGcubD39FjBaqAxVsjjLoBtuxU2lkOoFYzm2IIIY1o30tqOrpM3MBr/19krw7p7yfYFmxN3l9qi6rvYa7Ytnhp0BLz2y8TPU/c6a/vFVZLebft6OktBAbYBZVj79GkrnAq2htm0so6X7/mSR3/1AU/e9DGfvLSSxtr22+algt3lprBsYOJBg4GSwcNSG5D0OGajmbH5Y5OOD8wa2O4mId+Zz12H3IXFGL8yNs+Rx03736Qt96Trsjoguy/kDwFfr7bCKX9NNZ+8+CyPXPMzHph5Hs/+7tes+eZLWrdTPNKZDh2WfLXbIUML8DkybNW6dDtGux1TVlbScdugwe2OjS8az+F9D293/PQhpzMoW3u/S9eV67ZRlu+mf56rrXAqFI6wdFMDlz25gAP++DYH3zaXWS8tYl1NevIGzuxYJ8VkRp+WulikxxpRmnzFZaHX1q6TVIHXzr3T9sbriF+T5rKaeODsfShMa1GJyO6zmEz0ynYysMBNabazrXCqqrGVpz9by0n3zGfSH9/hlL9+wIsL11PjD+zgjJ0kf2hsMiWR3AGxbuMinchqNjK4MHn32vH92i/c65/n4pLJA9odP2hwHodv5z5aJNP5bD76evvS39c/rnBqbcNabv7wZo751zEc9dxRXD//elbVrSLyw+2PUsGRC3tNSz4+7idg675b0EjqhZuCBMubaF1TT7CiiXBTEKN5O1OyBjD+oNOUyWiiyFXUbp4DoLen9y53Sb/wwgvZuHEjixcv5rTTTmPmzJk8+eSTu3SOXXHvvfdy6KGHkpuby9NPP83SpUt5/vnn2X///bnyyis77X2lC9hSyJM/BLL7bS2caq6Fpa/CI1PhzpFw/4Hw8X2xYqp0cOYlLzSxusGdWbtJSTdkdULhqOTjxWNjr9mWpxCOv6f9a/OHwYFXxrpPSVIqnsowlWsbeO7Wz9m8KrY6KdAS5ovX1vDa/V/TVJ/6Aiqn18fhF16K2dp+5dPEU85Ia2eTLSLRSHpuuCRlDu93OA5z4s4vl429rF0xlNloZu+CvXnxxBf51YRfccbQM7h98u08ccwT9PX2TUXIIinTVF/PGw/cw/yn/0FLY2wVUsXqVTxz8/Ws+/brtMRU5LMzbd/27dm9djO/PHoYHnsGFE9FwumOQDqRuaCA3ItmJByz9OqFtV+/dsfzHHn8et9f8/gxjzN9xHQuGHUBz0x9hkv3ulQdC6XbWV3dxAn3vM87SyuIRmNbyzz16Vp+/LeP2FDbnPqALE6YfG3iB1IjTok9SEuzaDRKJNKFVhTKLhtW5KXQm7jjx5WHD044NrTIwyuXHcjs08YwfWJf/njKKF694iBGlPp2uMWGSFfS1BriwfdW8YvnvmZDXQsAa6ubufyphTzz+ToCoTT8bu3KhyN/3/64yRJ7UOxJfyFKOKJnVd1ZrsvGtUcNSTjmtZs5cFD7bWeynFYumlzGfy8/kJ8dMpDzD+jHc5fsz+wf7ZXmTm4iHW9D4wbOfuVsXl71MqFIiEg0wltr3mLaf6axvjFxB7ZOZTTCiJMhL8HiqNJx0Hf/1MeUQES5o1sI1bZS/eQSNs/+nIp7v2Tz7Z9T/eQSDE1BzLbEHZ8dbitGU/t7CKvJSn9ff3p7epNjz6HIVcTA7IG4LC6Mhq1TvA0NDUybNg2Xy0VxcTF33HEHU6ZM4Yorrmh7jdPppKioiLKyMmbNmsWgQYN46aWXkn4dDz74IMOGDcNutzN06FDuvffetrHzzjuP0aNH09oam7cMBAKMHTuWc845B4A1a9ZwxRVXcMUVV/DII49wyCGH0LdvX0aPHs3ll1/OZ599tkvXVHqASBiWvQpPnh7bohtiW+a99it4c1assCrVPMVwwr2xbQZ/6Lg/Z8Q9B5FIl+vYLrvA4oQDrkz8PWg0w74Xxbq3bcvqhuEnwKWfwWGzYMJFcNa/4JznY00ZZLu0bV8GaWoIMO/pZQm7/G1aVU9deTPOJA9zO1Nen36c86e7WPDqy6z79htcWTmMP+EU8vv0x+ZMV5tdqGyqZHntcp5f/jxGg5GTB51Mma8sbnWLdA/FrmLmHDmHa+ddy5qGNUBsRdMvJ/ySITmJH1RZTBZ6e3pzxrAzUhmqSMr5a6pY8fnHCcfenvM3CvsPwp2T2lXX2U4rVx0+mMOHF/K3eSupaQpw8JACfjy+N73SuR1FOAR1a+Hbl2Hdx7GK/VGngq83mLW1TndiMJnwHX884YYGqh/6O9H/PchxjN2Lkj/+EUthQcLPy3HkkOPIYXT+6FSGK5JSTYEQd7+9nJZg+4fy62qa+XBFFaeMS8ONdE5/uOBt+PIpWPLv2KrviZdCr/FpbSdd7Q/wfZWfpz5egz8Q4uS9ezGy1KeuQt1QcZaDJy/cj8ueWsA362OLmRwWEz87ZCBHDC9MWAxlMBjole2kV7aTk/fWAyjpviobW3ngvcRbBdzxxjKOGVWU+t/zrS4YfToU7wXz74DaNVA6Hib+FLL7pzaWH1hf08z85ZW8taScXtkOTt+nN6XZDlw2PYbtbsb2yeYPJ4/i9698S31LCIAB+W7uPnMspVmJFwFmOa1kOa0MK07e8VCkq4tEI7z+/etUtVS1G2sINvDUkqe4Yu8rsJhSvLjOVwpnvwhLX4GFj8cmIsdfAGUHg7c4tbFso7U5SENVC4vf34i/tpWysfmUDMrCk6N7jq4o3BSk5rlltH5XG3e89btaap77juzTh9BoMBD4X94AcLgtOL1WDMbECzAsJgsWkwWvLXnuuOqqq5g/fz4vvfQShYWF3HDDDXzxxRfstddeST/H4XAQCCTuIvr4449zww03cPfddzN27FgWLFjAhRdeiMvlYvr06dx1112MGTOGX/ziF9xxxx1cf/311NbWcvfddwPw3HPPEQwGufbaaxOeX4tNpJ2GTbFCqUQWPh4rIHFkpTQkjEbodyBc9B588BfY/DXkDYFJl0PuQDClcU6hfgOs/xy+fgYc2bGtEHP6x/5fupecMjjzn/DiTGjcHDvmLYWT/gpZSRqG2NxgGxT7dyO7RHftGSTUGqZybWPS8TXfVlM8MCt1Af2PyWwmu7iUyWedR2tzM2aLBasj8QOAVKloquD696/nw40fth17eeXLHN73cH6176/Ic2i/zs4QrKggGghgMFswF+Sn7Bdcs9HMiLwRPHzUw9S21hKKhMi2Z5PnyNvl1rQi3c3G75YmHauv2Exrsx83qd+yItdtY8qQAsb1zSYYjuCxW7CY0tzwctNX8PCxEPzftlTf/hveuxWmPQf9DmjbBlE6UKAZmqtiq19sXnCkrmOlOTeXvIsuIuvkkwnX18e28svOxpytG0jp2eqbQ8xbVpF0/OWvNnLcmBKs29tOoLNk94UDr4YJF4DRAvb0TipW+1u5/fVlPP7xmrZj//l6E6NKvTxwzniKfJrM6AyVja20BMOYjQby3DbMKfz9oSzfzaPnTaCqMUBrKEKW00KBx9a2bZlIT1Xe0EooSfe95mCYan8gPYskHFnQZ18oegiCLbEHxD9cdZtiqyobOe2vH1HRuLV7/EPvr+K2H43hmFFFOK16htHRguEwlQ0BwtEoTquJHFfqvgd8DgunjuvFgYPzqfUHMJuM5Lqs5HnS+30okm7+oJ+31ryVdHzeunmcN/K89CyC9pXGCqZGngIYYluIp1GgOcSSDzfx/j+/azu2cmEF7mwbJ/58b3x56Z2H6a7CTUGirWEwGDC6LdvfTm8XRRqD7Qqntmj9rpZoUwhvnp1IJEo0AgajAaPJgDFJ4dTOaGho4JFHHuGJJ57g0EMPBWDOnDmUlJQkfH04HObJJ5/kq6++YsaMxJ3bb7zxRm6//XZOPvlkAPr378/ixYu5//77mT59Om63m8cee4zJkyfj8Xi48847eeedd/B6Y/fxy5Ytw+v1UlS0dVuz5557junTp7f9+cMPP2TUqO1sRyU9S0stNLUvum1TsSRx98DOZnVC0Ug47k4INIHVsXWbwXSpWw//OBEql2099vnDsUKZ/S9Pe27rliIRaNwEkVDsntOdwq5jVicMPAxmzP3fvxEDOHPTWvjdnemOPYMYjAZMFiPhBKvAARye9HbFMFksOC0ZsNUS8PHGj+MKp7Z4Y/UbnDDgBCb3npyGqLqvUE0N/vnzqbjjToLr12MuKCDvkovxHHEk5tzUFWXkO/PJd7Zvey7Sk9k9nqRjBoMRkzm9qT4jtuiD2MqVZ8/bWji1RTgIz54bWz2ilqUdq3Y1zP0TfP1PCAeg/xQ48nex1Tnm1HxfGG02rL309yqyLZPRgNdhocqfeHVprttKgp0CUsdkij0AyAArK/xxhVNbfL2+nhcWrGfGQWV79IBb4jW2BPlyXR03v7yYJZsa8DrMnLt/f6bt2yelnb5yXLaUTryLdAV2y/YLCG3pLjC0umIfaVbfHOTGlxbHFU5tcd1zXzG+XzZ9c/UotiNtqmvh4Q9W8Y8PV+MPhBlV6uOG44YzosSbskI1s8lIaZYjaacpkZ7IYrTgsyVfPOWxejClcwGbwQDO1C80TMRf1xpXOLVFY00rH7+4koPPGoJFnQs7TDQUJripidqXVxL4vh6DxYhzXCGeKb0wZ3XMPUdkm45SycYtJmOHruFcuXIlwWCQCRMmtB3z+XwMGRK/a8e9997Lgw8+SCAQwGQyceWVV3LJJZe0O5/f72fFihWcf/75XHjhhW3HQ6EQPt/Wf9sTJ07k6quv5uabb+a6667jgAMOiDvPDxffH3nkkSxcuJD169czZcoUwuE0bP0smWtHXZzsqVuUm5DFEftIt3AQPv5rfOHUFu/fEduiVsVTHauxHL76Z6zjsb8ScgfAYTfFFuSnqtOXwQDektiHdKo0t4CQbTncFoZOLEo8aIA+wzPjF/p0q22p5bFvH0s6/ti3j9H0w8lx2W2RQIC6F15gw9XXEFwf248+VF7Oppt+S9UDDxD2+9McoUjPVth/AKYkha1l4ybg8KT5piJTNFVBzaokY9Vb251Kx6hbBw9PhYWPxQqnAFbNhQcPhZrEW76ISGrkua2cf0Dy7YzO2q8PpnR3CswAkUiUJxIUTm3x2MerqfS3nxyX3ffJ9zVMe/BjlmxqAGJd0u566zuuffYrqhIUIohI6uS5bRR6ExcVDsh3kePSFtgANU0B3vsucXfHcCTKwrW1qQ2om6toaOGnj3/OX99diT8Qm3z9en0dp93/IV+vq0tzdCI9m91s5+zhZycdnz5iOlm2rNQFlMHWLK5OOrbi83Ja/NsvxJFdEyxvpvy+Lwl8H9umOxqM4P9oI5UPfUOormPuOYz27Re77Wi8M02bNo2FCxeyatUq/H4/s2fPxmhsf//f2BjbIeeBBx5g4cKFbR/ffPMNH330UdvrIpEI8+fPx2QysXz58rhzDBo0iLq6OjZt2tR2zO12M3DgQPr2TbLNlPRszlzovV/iMZs37VtzZwx/BXzxaPLxr55KXSw9QXMtvHkTvH59rHAKoGoFPH1WbGcTFYF2O3oqnkHMVhPjjupHTskPVssZ4LDpw3D59DAKYnumt4Rbko43h5oJRXRT0VFCFRVU3PWXhGPV//gH4arttNHsJMHNm2ldvpzA998TqtMDMenZXNk5HHfVrzCa4pcrefMLOXj6BdicaW4hmyl2lBdCiTuwyG76/n2oTVB0EGqBd/8EraktvG0KhFhT3cSyzQ2sr2kiqJsa6cEMBgNHDC/koMHtt7m+9OCB9MtNf+eOTBCJRmlsTZ47mgJhIkm2sJJdV17fwo0vfZNw7N1lFWyqS37/12kay6FiWWw1pz/5VpciPUGh18YD5+yDyxp/z+FzWLjnzL3J1xZlQKxAKrqd1NC4g04UsmtWVzfxxZradsejUZj170UpL7wNhMKsq4ndc6ytbqIlqHsO6dkGZw3m9CGntzt+RN8j2KdwnzRElJmC28kNsW3ddM/RUSLNIer+uwrC7a9pqKKZ4IbGDnkfo9uCbVBWwjHboCyM7q2LYKOhEJHWViItLUSCwd1+z7KyMiwWC59++mnbsbq6OpYti+9M4/P5GDhwIKWlpQmLprYoLCykpKSElStXMnDgwLiP/v23FrDceuutLFmyhHfffZdXX32VOXPmtI2deuqpWCwW/vjHP+721yU9jDMHTrgHPD9oMmK2wY+fAI+2KANiv+xur4FIS33qYukJ/BWxBeKJvHEDNG5MbTyRcGzhevm3UL0KWhtS+/49gPp9ZhhPjp3jL9uL6g1+Vi+qwum10n+vPFw+W0ras4YbGgjX1UE0itHrxezLvI4lPpuPI/oewX219yUcP7b/sXisybex6qoi0QiVzZVEohGsRis5jtR0IgvX1BJtbk4yGCa4uRxrnz6picXvp+mTT9j025sJbYwlJMf48RT/9iZs/VV1Lj2T2WKl78gxnDv7PlYt+Iy68s30GTmagn4D8OS2nxjvcNFobEu8UHOsta67EEwZslXfthw5sda+LQkKLk3WbtvuNOz3E6mvB4MBU1YWRnsKtj0KB2HxC8nHV7wFrXVgS02Bxqa6Fu54Yyn/WrCeYDiK22bm4sll/HhCH/LcmuiTnqnAa2f2j/ZidXUTry3ahMNi4phRRRT57Pgcnb9go6k1RHVTgHAk9m8yNwP/LZpNRk4aW8rrixN3JjxyeCFZzu65uKWioZVgOILFZExZQURja4i11UnuOYAv1tQwojRF96bhAGz4El66FCqWxI4VjoQT7obCUWDSYxTpeQwGAyNKfLx6xUF8tLKKxRvrGdMri336Zadsq7KKhlb8gRAWo4Fct22HWwmmg9duYWCBm+XliSdf9+nXPTvKtwTD1PgDRAGvw4zblpr7wQ+XJ1/M9+3GBvyBELmkJo9VNrTwyIereej9VTQFwlhNRk7bpxc/O3RQSreeFckk2Y5sLt3rUk4ddCqvr36dcDTM4X0Pp8RdQo69838eBsIBqpqrCEaCOMwO8p35nf6eu6PP8Fw+filxp/TCMi/WNHYp6kzNDQFCwQhGowGn14ohBduhRwJhWlckX4jd/HUlzv57/qzK5LSQfcpgap5bRut3tW3HbYOyyD5lMCanhWg0SrS1leCGDUSaYkUQBosVS0kxRqcTg2nXfs/xeDxMnz6da665hpycHAoKCrjxxhsxGo3tts7bWTfddBOXXXYZPp+Po446itbWVj777DNqamq46qqrWLBgATfccAPPPvsskyZNYvbs2Vx++eVMnjyZsrIy+vTpw+23387ll19OdXU15557Lv3796e6uprHHosVIph28euUHiBvIFzwFqz/AlZ/AHmDYMAh4CtNzb14U1Ws+MhgjHXCsrk7/z13ld0Lg46AJS8nHh95amrjSZVwMFbIFI2A1Q2OrNS8b9Xy5GPNNdBSC75eqYmlqRoWvwhv/zb2/wYjDJ0KR/4esnqnJoYeoHv+5tXFubJsuLJs9E7hNn3RaJTAqlVsvuUP+N9/H6JRnBMmUPjr67ENGLDLv6x1JpPRxAkDT+CZZc9Q2VwZN1biKmFK7ym7/QthpqpsruSVla8wZ9EcKpsrGZozlJ/v83NG5I7o9EIxg237k0JGR+oeArUuWcK6S34ad6z5009ZfdbZ9H/mn1hKumfxg8iOmK1WsotKyD76+NS+cVM1LHsV3r4Z6jfE2ufuezGMP7/9CpF08xTDkbfAiz9tPzbll+DKzIdouysaDhNYvZqKO+6k4e23MZjN+I4/ntyLLsLaq7Rz39xg2v71dGTHXpMC1f4A1z77JfO+2/r7QmNriNteX0YwHOGnUwZiy8CJN5FUyPPYyPPYGNc3O6Xvu66miVtfW8p/vtpIKBJlRImXm44fwYhSH44M+/c4tk8WQ4rcLN0UPwnutZu5aPKAjJy43xPV/th2U7PfWMbqqib65jq56vDBHDgov9O35DKbjBgNkGxhfXYqtwSr+R4ePmbrtrMAm7+BOUfDxfMhd0DqYhHJICajgd45TnrnpLazbWNLkM/X1PLbfy9iRYUfm9nIKXv34tJDBlKSosKtnZXnsfG7E0dyxgMftft5dtLYUgq6YYeutdVN3PvOcv61YD2hSJTDhxdyzRFD6J/nwtjJE+G57uS5wWY2YkrRs8HmQIj73l3JQ+9vLX4IhCM89vEaqvwBbjl5VLctuBbZkSx7Fln2LIbmDk3p+25u2sycb+bw3LLnaAm30MvTi2v2uYbxReMzbtG1J9dO31G5rP46viDUaDRw4GmDsbszcIHiHmhtDlG+up4Pnl1O5bpGnF4rY4/sw+DxhTiTbBHckYwOMxF/4g5PJm/H/aw2Z9nIOWMokcYgkZYQRrsZo9uCyRn7+4wGgwRWrSK6TWf0aDBAYPVqbGVlGHZjJ4HZs2dz8cUXM3XqVLxeL9deey1r167FvpsLKS+44AKcTie33nor11xzDS6Xi1GjRnHFFVfQ0tLCWWedxbnnnstxxx0HwIwZM/jPf/7D2Wefzbx58zCZTPzsZz9j2LBhzJ49m1NPPZX6+npyc3OZOHEir776KqNGjdqt2KSb8/WKfQxP4VxHqBU2L4JXfh4r3DKaYMgxcPjNkJNhjRtsHjj0BljxdvsOVKXjoSC1OTcl6jfAJw/AZw9Baz30nQRH/A7yh4Klk+eobd7tj5tSdI8XicDSV+DlK7Yei0bg25diBV5nP595c3JdlCEa3V5D6cxWX1+Pz+ejrq4Or3cH37yyXYG1a1l1yqmx7hTbMDidlD3/L6wdtQdxOBzrTmK273GV8LqGdTy6+FH+u+q/GA1Gjh9wPGcMPYMSd/cqoKlrreP3H/+eV1a90m7sjil3cGifQzu1WCxUVcXq6ecSWN6+utZckE+/Z57BUljYae/fFkdtLesuuYTmBQsTjhf/4Q9knXhCp8fRVenn5Va6Fh0kHIRPH4JXr2s/NuJkmDo7ViTTASItrRCNYHTs4eRIcx1sXBirzK9YGtsn/eBfQe99Y22Bu5HA6tWsOvkUIv747fHMxcX0e/xxLCWd3OZ4wwL425TEY8fcHiuwS8FkxrJNDRxx57yEY3aLkTeunJzyCcCuRD8vY3QdOs7G2mZO+9uH7ToMGQ3wwsxJjO6V1SHvE4lEaQ6GsZiMWM17tlP9xrpmnv50LU98vIaWUJijhhfx04MH0ifH2emTwqnUEgzz0HuruPX1pe3GrjlyCOcf0L9Ti8UaW4Nc88xX/PebTe3GrCYjb/08RT+vQy3wynXwxcOJxydeCofNyswumxlAPy+30rXoOPOWVXDO3z9pd3xEiZc5546noIO6+gRCEYLhCE6raY+esTQHw6wob+TW15byxeoa8jw2Lp5cxqFDC8jzdK8OROtrm/nRfR+w4Qdbq7ptZl7+2QH0y+vcTrPfV/o55Pa5CQtvz5zQhxuOG56SQuc11U0cevtcggm2gQJ46+eTGZCfgV0LMoR+XsboOnScquYqfj7353xe/nm7sdlTZnN438M77L0CLc0YTWbMlj373dBf18qKBRV8+eZaWhoDlAzOZt/jy8gudGDqRgs2otEoKxdW8Or97bfrHjyhkANPH4zd1Xm/Z0fDUernrqHhjTUJxwuv2JtwlolVq1bRv3//3S462hmhqiqCGxNv9WR0u7H27r3HDQ38fj+lpaXcfvvtnH/++Xt0rnRoaWlJ+nehn5kxug4daPMi+Nvk2JzHtjzFcP4bHdfVJxyMFWpZHLECrd0+TwhqVsLcP8Hy12OdmCZcCKN/DN5utr1hwyZ48kzY8IO8bjTD+W9C6djOff+6tXDfAbEOUz/UawKc+XRq5pbqNsADU6AxcYd8znsN+uzX+XF0Ubvy81Kdp4RoOEzdiy+2K5wCiDY1Uf34ExRc/XOM1j2ovA8FoHYNfPEobFwA+cNhn59Adt9YktgNvTy9uHqfqzl/1PkYogay7dlYuuFD7MrmyoSFUwB/+OQPjM4bTYGroNPe35ybS+kds1lzznTCNTVtx40uJ73uuQdzQee997aiLS00f7Mo6bj/g/kqnhJJpYZN8M7vEo8t+hdM+cUeF0+FKqtoWbqEmsceJ9raivfEE3BNmIClaDcr6B0+KJsMRc9AsAXMVnClYGvDFIu0tlL18MPtCqcAQhs30vj+e2SfdlrnBpHdDw6+vv33yIBDYdjUlBROAaytSb7/e0swQkNLKCVxiEjMwrW1Cbdmi0Thlle+5a9njcO3B50ZotEo62qaefnLDcxbXkmJz865+/ejX64Lj2P37hOKfQ5+dvBAzhjfhwhRshwWHNbudxtd0dDKXW9/l3Dsrre+4/gxJZ1avOS2Wbj+2GEs3ljP6qqtP7tNRgP3nbU3hSlYhQ5AawOs/Sj5+JoPYq/pZkXXIpmqsqGVm/69OOHYog31rKry73HxVG1TgJUVfh7+YBWVjQEOH17I4cML6ZW9ez/zHBYTI0t9/OWMsfgDIczG1G2Bmmpzl5a3K5yCWKfXh95fya+nDsdm7rxJ/0KvjTt/PJYrnloQV0A1uNDNpYcMTFmHyPrmYNLCKYDy+hYVT4mk0Eb/xoSFUwB/+vRPjMkfQ4Fzz55n11dW8P3Cz1n60XvYHC7GHn08ub164/Tu3jbTLp+NUZNLGTA2n2gkitVuxurofvcc/roA7z2d+J5j2SebGXd0v04tnjKYDLj3KaJ1WS2B1fFzYb7jyzBl2QjT+c+JotEokcbEW/wCRJubiUYiu1w8tWDBApYsWcKECROoq6vjt7/9LQAnnKA5E5Htam2Eube0L5wCaNgIK+fC3mfv+XvUfB/rnlSzEvrsD2NOB1+f3Ws0YjJD3mA47s/QWhfbvs2Vv2cFWZmq8rv2hVMAkRC8fj38+PEOW8SfkLsYzngS/nFSbMHdFp4iOPG+1D0fCjYlL5wC2Piliqc6SPf7DUx2WaSxkcZ57yUd98+fT+SiGRhzc3fvDaJRWPcp/OPErVsfrJoHnz0AP34yNpG6m12orCYrhc7O73qUTkuqlyQd29y0mYZgAwV0bgGTfdAg+j33LM0LF9Ly9TfYhgzGuc8+WIqLU7ZFosFkwlJQQHD9+oTj1n4Z1jpTpLtrqYu1SE2meiXkD9nt04eqqtj0f/9Hw6uvth3zf/AB1rIy+jz0IJbiPVhB0c0nPMN1dTS+m7jbEkD9f1/Fd9xxe97Ja3sc2TDhIhh2HCz5T2yieeixsaIqd2qKboHtbjNlMIDD2g1vKEUy2JvfJr/J//T7GpoCYXx7UJ+zvLyRU+77gPptCiOf+2I9Nx0/glPH9cJl2717DpPJSKGve3UL+aEqfyutoUjCsdZQhCp/a6d3fuqV7eTpGfvx7aYGPlxRRWmWg8mD8yny2bF24uR7HLMdvKVQkeQezNur81vCi0gbfyDEiorkk4sfr6xm3/67+ayKWNHL399fxV1vb+20/cGKKu59ZwXPXDxxjzoneR0WvLtZuNsVNAVCvPJ14o4ZAG8vqeBnhwYp8HTez2+H1cxhwwp46+dTeHvJZjbXt3LgoDwGF3oo7KCOZDsXx/a/xu78fSCSib6pbN/VaItN/k34g+0Xmu2KuorNPD3rFzRUVrQd++6TDxhz+DFMOv0sHJ7d6/5iMBhw+bpnse0WgaYg/trWpOOVaxvIKe7croUmn43cs4YRrGymZUkVRocFx/BcTF4rRrsZUrDIzmAwYLDagIbE42bzbs+53HbbbSxduhSr1cq4ceN47733yMvrfgtHRTpUaz18/37y8aX/gTE/3v0O1MGW2HZr/7pw67FV8+CDu+Anr0DJHnROsrliH93Z0v8mH1s9H1r9nVs8ZTLHtkOc+XHs761iGfSeAKV7x7aXTBWzNfbMKtR+8QoAvg7qjiYqnhIwWCyYt1MYZcrOxrAnrWcbNsK/LthaOLVFJAz/mgGXzE/tD5guZkf7sFuMqXkIYy0pwVpSgu+YY1Lyfj9kzs8n96IZbLrhxvaDJhPeo49KfVAiPZl5Bw907Fl7dPrW5cvjCqe2CKxcSe3zL5B30Yw9bl/dXRnMZkxuV9K1ciafD1Jx7Ry+2EfBsM5/rySKfQ5KfPaEK+IPHpxP7naKq0Sk45VkJS/azHZZ92gbvNqmANc//3Vc4dQWN/17EVOG5O928VRPYN1BXkhV8VKRz0GRz8HBQ1JXaBvH5oEDroQVbyUe3/8ysGi7V5FUMRuN2C1GWoKJizv3tCvdpvqWuMKpLSoaW/nTa0u49dQxyh1JmI1GfNspCvLYzZhSsNjOaTXTP8/M+QeUdfp7JZPrsjKhfzafrKppN9Y/z0W+u3sXQ4hkmjxH8kIRs8GM1bj7zwFCgQCfvfSvuMKpLb584xVGHnLEbhdP9QTGHWypnqpuWyaPFZPHir3/7nUK65AYsrMIVVUmHsvPx2De9WsxduxYPv88cdc1EdkOoxmcudDc/nc5ADwlsdfsrsbN8NKl7Y8Hm+CFS+Ccf4M7f/fP391tb+cQqyvWdauzmS2xReHZ/Tr/vZJxFcDYs+HTB9qP2TxQNDL1MXVTKfiOkkxndDrJ+clPko7nXngBpj3ZL7epCuo3JB5rqd1+mzlhQNYA7KbEK+b2K96PLFtWagNKI88hh+A75ZS4YwabjV5/uQtzUTfbx1ck07nyoN8BicecuXu0D3g0FKLmqaeSjtc++yyhqqrdPn93Z87JIWf6uUnHc84+a8+24u1Cinx2Hj5vAgU/2CpleImXm08cqVXgIil2wl4lSccuOKD/Hk0u1jYF+eT7xA+6IlH4Yk2Sh2ACQK7bSmmS4rZe2Y6eVWxaNBIOvSH+AZzRBEf9AfIGpS8ukR4o32Pj9H0S31eYjQb2K9v9rlMA7ywpTzr22qLN1DYFko73dFazkXP375d0/PwD+pPbQ4qGspxWbv/RXgwqiN+ar8Rn58Fz9tnjrSVFZNcMyx2GzZT4589R/Y4i27773SmaG+pZ9G6SInvg2/fe2e1z9wR2l4XSIVkJx8wWIzkl3bx7yjYMFguW3r1jbdG3Yc7JweTWVq8iKeUuiC2USmbcT9r9W90lVcshlKTrXvm30Fy9++fuCYZOTT629/TtF1d1JxY7HPhz6D8l/rg9C85+IdZFXTqElk8JAPbBg8iZcSHVf4uvWMw64wwco0bt2ckj4R2Md34r1K4s35HPHVPu4Gdv/4xQdOu1KnAW8Ov9fo3X1nNWs5jz8ii89hpyzz+PlsWLMbrd2AYOxFxQ0GMKAUQyhiMbjr8bHj0BaldvPW51w5nPxFZk7KZoNEo0kGCP8S2CwdiWsJKU66ADcR10EP558dv3ZZ99Ntay9K3KTofBhR5enDmJNdVNbKhtZkCBm2KfnXyPJjFEUq3Y5+DWU0dz7XNfxf0YP2hwHieNLd2jzlORHeSFQEh5Y3sKvXb+etY4znjgIxpbt95zuG1m7ps2LqXbH6Xdlq1nR5wEG78EjFA8OrYS1KqJDJFUspqNXDJlAAvX1vLlurq242ajgb+etec/mwJJtisFCEeiRJQ6tmtggYdz9+/Lwx+sjjt+8JB8Jg/pWavne+c4efzCfVlf08z3lX56ZTvpnRPrpigiqVXgKODuQ+5m5lszCUS2FsEOyhrEZeMuw7lHXUSjRMLJ5zLCwe08yxLsLgtTpg3lhdlf4K/d+ndjNBo46uJR3X7bwm0ZTCZMHg/GQYOItrQQjUQwOhyxLfvUaV8k9QYfBcNPgMUvxh8/6g+Q3WfPzv3DXZl+KLqDOfSezlsMx94O//l5/PGCETDx0th2dj2FtxhOfSi241f5t+DKh9yB4C2JLfqTDqHiKQHAlJVF3gUXkHXCCfjnzycaieDafxLmwgLMvj1sX+rKiz2ATtTy0OIAjzoGbY/VZGV88XhePPFF3ln7Dmvq1zCheAKj80ZT7O55187k82Hy+bD1sMl/kYyU0x/OexUqlsL6LyB3QGyvZ28pGHe/uaXRYiHr5JNofCvxaj7v0Udjyu7Efay7AUt+PiW//z2BtWuof+W/GG02vMceg7m4GHNWVrrDS7niLAfF29kuTERSw2Uzc+yoYsb3y+GDFZXUNQeZNDCP0izHHnen8DksDC3ysGRTQ8Lxffoqb+zIiBIv/738QD5YUcnX6+oY1cvH/gPyknak6tZs7thHju45RNKtyOfgwenjWV3l55NV1RR4bEzon0Oh147NsmcPiA8eWsDtbyxLODZpYK66lO5AjsvK5YcN5kf79ObfX26gNRjh2NHF9MtzkddDuk5tq8Bjp8BjZ2wf/c4hkk4Wk4VxheN48cQXWVi+kE1Nm9grfy/6evuS79yzwk6by83A8RNZ+uF7CceHTjpoj87fE2QVODnl2n3YvKqOdUtrySpw0G90Hu5sG6YdbOvX3RiMRgxWK2hRuEj6eQrh2DvgwKthxduxhVNlU2LHbZ49O3f+kFhn62iChRtZfWAPOiL2CDYPjDod+h0Ii14AfzkMOQYKhseKiXoaV17so2gPG99IUiqekjYmrxeT14ttwICOPbG7CKbeAc+c237siN+Dq3C3TlveVM6y6mXMWz+PfEc+h/U9jEJn4R6uHslMNpONPt4+TB8xPd2hiIjE85bEPgYc3KGntY8ahX30aFq++iruuCk3l+xzzt6tbnORlhZCmzfT8PbbBNeuw7n/RBwjR2IpKuqosDOKOS8Xc14uzrFj0x2KiEgbp81MP5uZfnkduyVDrtvG708axel/+5BgOL5VyE/270eeZ/cmcSsbWllV6ee/32zEYTUxdXQJxT47Wc7u94DbaDTQO8fJ6Tl9OH18uqMREdkq32Mj32Njn345HXrekiw7x40p5t9fbow7brcY+c2xw/HtRvFUOBJlQ20z7y+v5NuN9YzplcW+ZTmUZjkw7Ml2Hxkq22kl22llRMkeLrwUEelAFpOFXp5e9PL06tDzWu0O9j9tGqsWfk6guSlurO+Yvcku3s0tc5qqoW4NfPN8bJeOESdBVt9Y59NuyJNjx5NjZ+C43ZsXEhHpFK7c2Efx6A4+bwFM+SW887v44wYjTP3z7hcA1a6DdZ/A6g8gbxAMOgJ8pWDqfs+rsHvAPgSmXJfuSKQHUPGUdD6TGQYeDhe8Be/cApVLYit4J/8CikaCZdcnMjb6N3LJG5ewom5F27G/LPgLN0+6mcP7Hp60gKox0EhNaw2BcAC3xU2+Mx+joWetaBAR6QosBQX0+stdNLzxBjVPPEm0tRXP0UeT/ePTsfba9YdfkdZW/B9+yLpLfwbhWCvcmieewFJaQp+HH8HaezvnbNgILfVgNIMzJ9ZNUUREMs7IUi//uexA7nlnOZ+uqibfY2PmwQMZ1zd7tybAN9e3cPU/v+S95ZVtx+55ZwU/nTKACw8qIztJAVVzIERlY4CWYBin1UyB14bFpHsOEZFMk+OyccPUERw2rJC/zVtJbVOQSQNzuXjyAPrk7PrCvGg0ytfr6zjzgY9oCmzZfmM1XoeZp2dMZFixN+nnVjW2Utsc2+4py2HZ446MIiLSObKLSjj7D3/m8/++yIrPPsbmcLL3sSfQf699cGXtxvMif2VsQv2zv2899uHdse2jjrkV3IkLjCLBIKHyCqLNTRjsdsx5eRjtPWirbRGRrsLmhvEXQOk4ePePUL8eiveKFQLlDNy9c1Z+Bw8fC42btx57/ddw1rPQZ1JsXj6Rphporo4V6tp94Omei8pF9oSKpyQ1bG7otQ/8aA4Em8DsAMfurUprDbXyt6/+Flc4BRAlym/m/4a9Cvair6Vvu8/b0LiBP376R+aunUskGiHXnstV465icu/J+GxaIScikmkshYVkT5uG96ijiEajmLKyMFp2b+uMUEUF6y+7vK1waovg+g1svuUWSv70R0xud/wntTbCmg/hP1dB7ZrYsX4HwNQ7Y6s5REQko1jNJgYXerjlpFE0toawmo273SEqGo3y+qJNcYVTW9w7dwVHDC8ku0/7c2+qa+Gut5bx7OfrCYQjeGxmLp5Sxo/H99FEuIhIBsr32Dhhr1IOHJRPKBzB67Bg383tADfVtzDj0c+2KZyKqW8OMfPxL3jqov0o8MRPbAdDERZvrOfaZ79i6ebY1rPDi7388ZRRDCv2YlbxrYhIRjEYjWQVFTP5rPPY98TTMBpNOH17MLew+Zv4wqktFr8Y60A14qR2Q6GqKmqeeorqv/+diL8Jg9VK1o9OJfeii7AUFOx+LCIi0jmcOTDwUCjdG0KtsW0Bbe4df14iTdXw4sz4wimAcACemgaXfAhZvdt/XsUy+PdlsfkOgOz+sV2jek8Aa8d2hxfpynQHLqll98YqWXezcAqgurWal5a/lHAsSpT317/f7nh5UzkXvXERb695m8j/9pWtaqni+vnX89GGj3Y7FhER6VwGgwFzXh6W/PzdLpwCaFm8mGgwmHCsce5cwtXV7Qc2L4LHT91aOAXw/fsw52ioXbvbsYiISOdy2swUePdsa73KxgB/n/990vF/fLyGcCQSd6ymKcCv/vU1T3yylkA4NtbQGuLW15bx6IffEwhFEp1KREQyQI7LSoHXvtuFUwBVjQHKG1oTjq2s9FPtD7Q7vqamidPu/7CtcApg8cZ6fnT/h6ytaWr3ehERyQxmixV3ds6eFU4FmuDDe5OPf3BXbJJ8G5GWFqr+PofKv9xNxB/LE9FAgJrHn2Dz//0fobq63Y9HerRZs2ax1157pTsMke7NkR2bI9/dwimApipY+3HisdYGqF7Z/njtGphz5NbCKYCaVfDYSVCxdPdjEemGVDwlXU4kEiEQaf/AaYvaltp2x76v+57v679P+PrZn8+mvKm8g6ITEZFMFK6tTT4YiRANheKPNdfAGzckfr2/Ar5/r8NiExGRzBOORGloSVx0C1DjD/CD2ikqG1p5e2ni+4r7562kvL6lI0MUEZEM0xIMb3c8+IMi2kAowpz3V9GaoLi2JRjhsY/WEAxv/5wiItKFRYKQYC6jTUt9bGulbYQqK6l59NGEL294/Q3CVQkWB0paNDc3U1lZybp166isrKS5uTmt8UyZMgWDwYDBYMButzN8+HDuvXc7xXsdwGAw8MILL7Q7fu6553LiiSd26nuLdFvh5PPjQKyA6oeWv9muGBeAaBTevAmaVXgrsoWKp6TLcVqcDM8dnnR8/9L92x37quKrpK/f4N9AS0gTGSIi3ZljzJikY5ZevTD+cMu+YBNsXJD8hMvf6qDIREQkE/mcZiYPzk86PnV0MRZz/O302prkD8NbghHqtlOMJSIiXV+Bx4bZaEg45rCYyHbFd0RsbA3y6fc1Sc/3yapq/C0qnhIR6bZsXhh2fPLxwUfHupRsI1xfn7SzOkBw86aOik72QF1dHc888wx33303Dz74IHfffTfPPvssdWnuDHbhhReyceNGFi9ezGmnncbMmTN58skn0xqTiOwiexa48pKP5w+J/3MkvP25jA1fQLCxQ0IT6Q5UPCVdTrY9m19M+AVGQ/tv37H5Y+ntab+Xa6m7NOn5HGYHFuPubwUlIiKZz1xQgPvQQxOOFf76eiwFBfEHDWbwFCc/Ye6ADoxOREQyjcNiZubBA3Ek2L6pV7aD/cpy2x3PcW3/nsJpNXdYfCIiknny3DYumlyWcOznRwymwGOLO2Y1Gyn02RK+HqDEZ8dq0aNbEZFuy2CA4SeAu7D9mD0Lxp8Ppvh7DKPDsd1TmvZkG0HpEM3Nzbz44ousXBm/ddaKFSt46aWXOq0DVUNDA9OmTcPlclFcXMwdd9zBlClTuOKKK9pe43Q6KSoqoqysjFmzZjFo0CBeeumlpOd88MEHGTZsGHa7naFDh8Z1qjrvvPMYPXo0ra2xLYsDgQBjx47lnHPO6ZSvT0T+x1MMR96SeGzsOeD6wUJAowlyEt+jxM5XBJojF2mjO3DpkoblDOMfR/+DsfljAfBYPFw0+iJum3IbeY72Fbej80djN9kTnuv0Iacn/BwREek+zNnZFM26kfyfX4UpO7Zqzz58OH0efQTnPvu0/wRPIRxwZeKTGYww6tROjFZERDJBnxwnL146icOGFWA0gM1s5Kx9+/DUjP0oyWo/aVHkc1DiS3zPMXlwPrk/6DgiIiLdi9Nm5vwD+nPbj0bTKzuWJ/rlOrnnzLGcMq4XVnN8Qa7bZmHmlIFJz3fhQWUqvBUR6e6yesN5r8GYaWCyxia5h58EF7wF2f3avdyUk4Nj/PiEp7L07o05T/Mc6eb3+9sVTm2xYsUK/H5/p7zvVVddxfz583nppZd44403eO+99/jiiy+2+zkOh4NAIPEWYI8//jg33HADv/vd7/j222/5/e9/z29+8xseeeQRAO666y78fj+/+MUvALj++uupra3l7rvv7tgvTETiGY0w+EiY9iwU/G+XJk8RHP0nOPQ34Mhq/zljz4oV7CZy4M/BXZB4TKQH0h24dEl2s53R+aP5yyF/oSnUhNFgJNeRi9mY+Fu60FXIXw//Kz9986c0hZraju9fsj9nDz8bi0lVtSIi3Z0lP5/c887Dd/zxRMNhjHY75pyc5J8w5BhY+yksfGzrMZMVTnkIvL06P2AREUkrs8nI4EIPd5y+Fw0tIQxAjtuKzdy+GxVAkdfOwz+ZwLSHPqaiobXt+NAiD787aSReh+45RES6uxyXjVPH9eagwfkEw1GsJiP5nuTdpYYUebj6iMHc/sYyotHYMaMBrjtqKIMKPSmKWkRE0iqnP0y9DQ65HojGuk7Z3Alfavb5KLnl96ydcRGBbQp0zIWF9P7rfe07q0vKtbS07NH47mhoaOCRRx7hiSee4ND/dd6fM2cOJSUlCV8fDod58skn+eqrr5gxY0bC19x4443cfvvtnHzyyQD079+fxYsXc//99zN9+nTcbjePPfYYkydPxuPxcOedd/LOO+/g9XrjznPGGWdgMsXfQ7e2tnLsscfu6Zct0nPZfTDocCjeC8KtYDDFCqiSFUj5esHJD8ELF0F4m61fx/0EBiTerUOkp1LxVA8SCocoby6nvKmcUCREsauYPEceNnPyhziZzmf34WPHrWjNRjNj8sfw/AnPs7J2JdWt1QzJHkKBs4Bse/YOP19EpMdqrgF/JTRsjD28cRfEfhHvogwmE5bCBO3QE3EXwBH/B5Mugw0LwOaFwhGxduqWxJ1FRER6ukgkyub6FsobWmkKhCjJcpDrsuK2d93CIY/dgmcn4x9c5OGlmZNYXdXEutpmBua7KM12kO9R3hARSaaxJUiVP8CG2macVjMFHhuFXjtGY5KH/11AwU7+3M9yWjl3Un+mji7h6/V1GAwwqtRHntuGy6bHtiIiSTVsgsZyaKmNbWHkygNHF37Ob3GCz7lTL7X26kXfRx4msH4DgVWrsPQqxdq7N5airvu8rjux27f/O8COxnfHypUrCQaDTJgwoe2Yz+djyJAhca+79957efDBBwkEAphMJq688kouueSSdufz+/2sWLGC888/nwsvvLDteCgUwrfN1pATJ07k6quv5uabb+a6667jgAMOaHeuO+64g8MOOyzu2HXXXUc4HN7tr1dktwSbY3mjbh2YzOApAXcRmLvu8yrc+Tt+DYDVBUOPhUs/h01fQ8APpWPBVZC4U5VID6a78B6iOdjMhxs/5Ffv/wp/MNYW1Gq08vN9fs7Usql4bd4dnKHrMxvNlLhLKHEnrrYXEZEfaNgE//k5LHl567GcMjjzacgbnL64UsmZHfvIH7Lj14qI9HChcISv1tUx4x+fUdkYa/1vNMBPJvXjp1MGkuvuuos2dkVxloPiBNv6iYhIe5WNrdz7znIe/uB7Iv/rvJTvtvG3c8YxqtSH2WRMb4Ap4LaZcdvM9MtzpTsUEZGuoWIZPHk6VG+zNdqw4+GYW7v0gr9dYc7Px5yfj3OvMekORX7A5XIxYMAAVqxY0W5swIABuFzpy/fTpk3j+uuvx+FwUFxcjNGY+PesxsZGAB544AH23XffuLFtu0hFIhHmz5+PyWRi+fLlCc9VVFTEwIHx2xR7PB5qa2v34CsR2UXNtfDlU/DGbyD8v60qbR446W8w4GCw9IBnOBY7ZPeNfYhIUt3/CYQAsN6/nivnXtlWOAUQiAS45ZNbWFqzNI2RiYhIRgo0w9w/xhdOQezB1D9OgvoN6YlLREQy1sa6FqY9+HFb4RRAJAoPvf89ry3aRHTLfkQiIiJANBrlv19v5O/ztxZOAVQ0tjLtwY/ZWNfx29qIiEgXV78B/nFifOEUwLcvwbzbYp1FRNLI4XBw/PHHM2DAgLjjAwYM4Pjjj8fh6PgijbKyMiwWC59++mnbsbq6OpYtWxb3Op/Px8CBAyktLU1aOAVQWFhISUkJK1euZODAgXEf/fv3b3vdrbfeypIlS3j33Xd59dVXmTNnTod/bSIdYtOX8Op1WwunAFob4OlpUPN92sISkcyjzlM9QCgc4qklTxGJRhKO37fwPoYcPKRHdJ8SEZGd5N8MCx9LPFa3DmpWg1ed/EREZKv5yytpDiZuvX/XW8s5dFghhV5tXyciIjGbG1r5y9uJuxQ0BcJ8uLKK3jk7t4WRiIj0EDXfQ/36xGMLHoX9f6auGpJ2Pp+PU089Fb/fT0tLC3a7HZfL1SmFUxDr5DR9+nSuueYacnJyKCgo4MYbb8RoNGIw7N42yDfddBOXXXYZPp+Po446itbWVj777DNqamq46qqrWLBgATfccAPPPvsskyZNYvbs2Vx++eVMnjyZsrKyDv4KRfZAc21skXgi0Qh89jAc+bvYVn4i0uOp81QPEIgEWFm3Mun42sa1tIZbUxiRiIhkvGBz/EqMH6pbm7pYRESkS1i6uSHp2Kb6FkLhxIs5RESkZwqFI5Q3JH8etWxT8rwiIiI9VO3q5GOhVgg2pS4Wke1wOBzk5eXRq1cv8vLyOq1waovZs2czceJEpk6dymGHHcakSZMYNmwYdvvuLWC64IILePDBB5kzZw6jRo1i8uTJPPzww/Tv35+WlhbOOusszj33XI477jgAZsyYwcEHH8zZZ59NOJx4UZVIWoRaoGZV8vGKb0Fz5CLyPyqj7AFsJhujckfx6aZPE44PyRqC06yVfCIisg2rCyzO5A+dcgYkPi4iIj3W2N5ZJGvS3y/XicWstTsiIrKV1WykT46TNdWJ7znG9M5KbUAiIpL5cgYmH7O6Y8+zRHogj8fD448/3vZnv9/PTTfdxIwZMwCYO3fudj9/1qxZzJo1K+7YmWeeyZlnnpnw9YsWLWp37MUXX4z7czQabfcagIcffni7sYh0KIsTCobHtn1NpHQfMKtLuojE6Ol1D2Aymjh58MlYjdZ2YwYMXLLXJbh0UyEiIttyF8J+P008lj8UfL1SG4+IiGS8vftmk+20JBy79sihFHj0MEpERLYq8Ni55sghCcdyXFb27pOd4ohERCTjZfWG/MS5g4kzwV2U2nhEMsSCBQt48sknWbFiBV988QXTpk0D4IQTTkhzZCJpZvfClF8lHjPbYOw0MJpSG5OIZCwVT/UQJa4SHjzyQUpcJW3Hcuw53DHlDvr7+qcxMhERyUhmG+x7Eew3E0zbFN/2PQDO/Cd4CtMXm4iIZKRe2U6evmgiQwo9bcdcVhOzjh/O/gNz0xiZiIhkqgMG5nHDccNxWbdOWAwt8vD0jP0oze7c7W1ERKQL8hTBmc9A30lbj5msMPFnMP4CMLdfQC7SU9x2222MGTOGww47DL/fz3vvvUdeXl66wxJJv/whcNo/wLnNs6msvnDOv8HXJ31xiUjG0bZ9PYTFZGFswVj+ccw/qG2pJRKNkGXPIt+Rj0kVtSIikoi7AA75New7A5prY63PnXng1ApwERFJbHChh8cv2JfqpgCtoQg5TgsFXhsWk+45RESkvWyXlbP27cORwwupaQpiNRvJcVnJc9vSHZqIiGSq7L5w+mPQVAmBJnBkgasQrCq6lZ5r7NixfP755+kOQyQz2dww9FgoHQdNVWAwgSsHPMXpjkxEMoyKp3qYAmcBBc6CdIcBQGtziOaGAOFQBJvdjDPLhtFoSHdYIiKyLasTrP0gQ+qlGquraPE3YjSbcXi8ONyeHX+SiIikVJ7HRp4nMya9mwIhKhsDtATCOG0mClXIJSKScaxmE6XZTkoz5J6jsrGV2qYgANlOC7kq5BIRyTzOnNhHBgiEwpQ3tNLUGsZuNZHvseKwaOpNRCSjGE3gK419ZIKm6thHJBQrAvZo21mRTKDf4CQt6quaee/JZXy/qAqi4PBYmHjSAPqPycfusqQ7PBERyTCB5mbWLv6atx66j4aqCgBKh47giBk/I6e0V5qjExGRTLSproU73ljKvxasJxiO4rKamDF5ANP27aOOJiIi0k4gHOabdfVc+9xXLC9vBGBIoYc/nTqa4cVeLGZjmiMUEZFMU9HQwqMfruah91fRFAhjNRk5dVwplx82mEKvPd3hiYhIpolGoWIpvPQzWPdJ7FhWHzh2NvSdCFZ3euMT6eF01y8p11jbwkt/Xsj338QKpwCaG4K8/egS1iyuTm9wIiKSkSpWr+SFP/22rXAKYP2SRTw16zrqKsrTGJmIiGSian+AXzz3FU9/to5gOHbT4Q+EueONZTw8/3taQ+E0RygiIplmbVUzP/7bR22FUwBLNzdw2v0fsq62KY2RiYhIJmoOhLh/3kr+8vZymgKx+4tAOMITn6zlNy98Q21TIM0RiohIxqlbC3OO2lo4BVC7Bp74EZQvSV9cIgKoeErSoHZTE3XlzQnHPnp+Bf661hRHtOea6lupWt9I+ep6GqpbCIci6Q5JRKTbaG5sYN4TDyceq69j7aIvUxtQBwgFg9RVbGbzyuVUrl1DU11tukMSEelWKhtbmbusIuHYg++vpLy+691z1PgDLC9v5Ot1daytbqI5EEp3SCIi3UZrKMxD768iEG7/PKc1FOEfH64mGO5ahbehcIQNtc18s76ObzfWs7m+Jd0hiYh0KxWNAR79YHXCsdcXb6aqsesVT4UbGgh8/z3N33xDYM0awn5/ukMSEelelr0OzTXtj0ej8NZN0Fyb8pD2SDQK9Rth09ew8SuoXw8RzZFL16Vt+yTlNq+qTzrWUN1CKNB1HkZFo1Gq1vt5/cFvqNkUW4VosZuYeNIABu1TqC0IRUQ6QKi1lc0rlycdX/3lQkZOOTyFEe2ZpoZ6vnnnDT589glCrbHJ+/y+/Tn28mvJLe2d5uhERLqHdTWJF2sAtAQj1LcEUxjNnltT7efKp7/k89WxB2xWk5HzDujHBQeWaQtCEZEO4G8Ntf2MTeTT72vwt4TJcplSGNXua2gJMndpBb958Rtqm2I5r1e2g7t+PJbRvXyYTVpPKyKyp+qbgwmLbrfYVN/CgIKus/1ScNMmNv3f72h8663YZLjRiPeYYyi49hosBQXpDk9EpOuLhGHlO8nHNyyEoB8cWamKaM+EWmHdp/CvGbGiKQBXPhx/F/SfDFZXeuMT2Q26U5aU8+Q5ko5ZbCaMXegBTkN1Cy/M/qKtcAog2BJm3pPL2LC8Nn2BiYh0I0aTCXdObtLx7NLSFEaz51Z+/gnvPT6nrXAKoGL1Kv550y+pr0zcJUVERHZNrsuadMxgAKe166wj2lzfwjkPfRI3qR8IR/jruyt56pM1BLczYSMiIjvHZjZS5EtejFris2O1dJ3nVUs3NfCzJxe0FU5BrLD4jAc+2m6BsYiI7DyndfsFtVnOrrOwOlRby4Zf/4bGN9+MFU4BRCLUv/wy5X/4I+HGxu2fQEREdsxogtwByce9xWDsOrmD2jXwjxO3Fk4B+CvgqTOhKvlieJFM1nXu+qXbKCrzYrYm/tYbObkUpzf5REemWb+0ltamxNtlfPTCCprqu15rXhGRTOPKymbfE09LOGYwGhm6/0Epjmj3NVZX8cE/H0s41lRXy+aV36U4IhGR7qnIa6dXduJFG5MH52+3uCrTrKlq4vuqpoRjf5vXNbcgFBHJNC6bhZ8ePDDp+IzJZV2m8La+Ocjtry9NONYaivDCwvVEt0yMi4jIbst1WZlYlpNwrF+us0t1iA1XV9P0/vsJx+r/+1/ClVUpjkhSbdasWey1117pDkOk+9trWmxVXyIHXg3uLtLpLxyETx+M/feHolGYdxsEtPWrdD0qnpJ26lrr2OzfTFVz5/xC7Mqycfzle2G1x6/M6DsylzGH9MZkNhIOhWmobqGhqpkWf+ZuqbFpZV3SsZqNTYRDWgUuIt1fOBKmvKmczf7NNAUTT+7uqbJxExh1yJFxx8wWK8f//Fd4cvMBaG6op76inIaqSsLBzMwd4VCIhqrKpOPb255QRKQ7aWgJsrGumfL6lk6ZwC302Zlz7niKvPa448NLvPzuxJF4HRbCkSib6lpYV9NEZUPmFiAtL0++yru+JURzsOtsey4isicqGlrYWNdMQydtvTqk0MMvjhqCcZu5DJPRwG+mDmPQ/7ZdamgJsqG2mQ21zTQHEy+mS7emQJhlm5PnjoVramnV8yoR6QGagyE21jWzua6FcCd0a/U5rfzp1DEMLozfmq/EZ+eh6eMp3HIv0rAp1p2jYVOHx9BRwrW1yQejUcINDSmLpbsIBuvw+1dQV7cQv38lwWDyuaRUmDJlCgaDAYPBgN1uZ/jw4dx7772d+p4Gg4EXXnihU99DpMP5K6F+AzRVd875fb3h1IfB/IMC2/EXQtnBsf8PNkHdOqhdBy31nRPHngo2w4YFycc3fwMBdS2UrqdrLJmSlGgMNLK0Zil//vzPLK1ZSom7hIvHXMz4ovHk2BOvoNgdJpORwn5efvybfaktb6K5IUBuiRtnlhWH20pjTQsL31zL4vc3EGwNU1jm5YAfDSK31I1lB61wUy2vV/I9y715doymJNXDIiLdxGb/Zl5c8SJPL32apmATB/U6iIvHXExvT2/Mxo77NcPly+Kgs37CPsedRPmqFVgdDnJ79cWVnU00GmXj8qW888gDbFy2BIvNzujDjmLcsSfiyc3rsBg6gtFswunLoqmuNuF4bq++qQ1IRCTFWoNhVlT4ue31pXy8sooct5UZB5Zx5MgiCjz2HZ9gFwwq9PDCzP1ZU93E+toWBuS7KPbZyffYKa9v4bkv1vG3eSupaQoyqMDN9ccOY+8+2XgdmdUivW+uM+mYw2LC3oW2kRIR2R0VDa28sXgT989bSWVDK+P75XD1kUMYWODGbum450RZTitnT+zH0aOKWbShHqMBhhd7yXPbsFlMfLe5gVv++y3vLK3AbDQwdXQJVx4+mD45yX9Op4PdYqRPjpMqf+Ju6EOKPFhNyh0i0n1FIlFWV/v5y1vLefPbzdgtJs7ctw+nj+9NsS9xd9rd1TvHyeMX7MuG2hZWVvrple2gd7aDIp8jNgG/7DWY+/vYJLivF0z5FQw+ElyZ9bzK5PVud9zodqUoku6hpWUj3y75JdXV77Udy8k5kGFDb8FuL05bXBdeeCG//e1vaWpq4tFHH2XmzJlkZ2dzxhlnpC0mkYzRVA2rP4j9zK5ZDQVD4dBZUDQaHL6Oex+rEwYfBTM/hfLFEGiC4tHgygdHFtR8D+/cAoueg0gIBh4Gh98MuYPAlEFlHWY75A2BtR8nHs8ZAJbMuk8S2Rm6UxYAItEIH2z4gHNfPZcFFQtoCjWxvHY5V797Nf9Y/A/8wY5trWc0GfHk2uk9LIfBE4rI7eXG4bbir2vlP/d+xZdvrSXYGltBvXllPf/60+dUrc+8CtU+I3IxJ5msGD+1Py5f12nNKyKyqyqaKrj8ncv5y4K/UN5UTmOwkVdWvcLpL5/O2oa1Hf5+dpebnJJeDJ00mbK9J+ArKMRssVK55nue/PU1bFy2BIBgawuf/+cFnv/jb2ms6aQVIrvJnZXDhBN+lHDM6nBSMmRoiiMSEUmtbzfWc/zd7/P2knL8gTBrq5v5zYuLuP75r6lq7PjuT0U+BxP653LS2FJG98oi32Onxh/gpn8v5o+vLqWmKda95LvyRs6d8ynvLqvIuK2M+ue5KPAkvq84a7++HV50JiKSSWr8AX7770X86vlvWF3VhD8QZu6yCk64Zz5fr+v4Dg4um5m+uS6OGVXMUSOL6ZPrwmkzs6a6iRPumc/bSyqIRiEYjvL8gvWcet8HrK/pnO67uyvLaeXKwwcnHDMZDZy2T2+MRi32E5Hua3V1E8f/ZT7/WrCe+pYQ5Q2t3Pnmd5z38Kdsqm/p8PfL99gZ0zuLk8aWMr5fTqxwKtgc287oxZ/GCqcg9t8XfwqfPBCbLM8gppwc7KNHJxxzHXAAppyOW1zf3QWDde0KpwCqq9/j2yW/7LQOVA0NDUybNg2Xy0VxcTF33HEHU6ZM4Yorrmh7jdPppKioiLKyMmbNmsWgQYN46aWXkp7zwQcfZNiwYdjtdoYOHRrXqeq8885j9OjRtLbG7uMDgQBjx47lnHPO6ZSvT6RTBfyxn9lPT4PNi2Idk9Z9Bo9MhWX/hXAHd/y22CG7Lww5GkadAnmDYoVTtWvh70fBV0/FtsOLRuG7N+DBQ6H2+46NYU+ZrbDfxcm3IDzoGrB5UhuTSAdQ8ZQAUN5Uzu8//n3Csb9/83eqW1Iz+Vy90U/l2vZFUtEovP/Mdxm3hZ87x8bxV+yFw7N1dbrBaGDvI/vQd0RuGiMTEel8S2uWsqhqUbvjzaFm7l14b6dt4Rf3Xg31zH30QaLR9u3XK1avpGrdmk6PYVcYjEaGHjCZvY6aisGw9dcwd3Yup93we7z/24JQRKQ7qva38psXFxGKtC9OemNxORvrOn4iI5GKxlb+8/XGhGM3v7y4UyZU9kRxloPHL9i3XWeT48eUcOGB/bGadVsvIt3XpvoW/v1V+5/Z4UiUX7/wDZWdUHj7Qy3BMA/MW0lToP2kSXlDK28tKc+4wtvRvXz8+thhcR2mvA4zD03fh9Lsju26IiKSSZqDIe55ZzkNre23Vv12Y0OnFN4m1LgZ3rs98dj7s8FfkZo4dpI5J4fSO2ZjHzky7rhjn30ovvm3mH0d2HWlmwsEKtsVTm1RXf0egUBlp7zvVVddxfz583nppZd44403eO+99/jiiy+2+zkOh4NAIHGnyscff5wbbriB3/3ud3z77bf8/ve/5ze/+Q2PPPIIAHfddRd+v59f/OIXAFx//fXU1tZy9913d+wXJpIKjRXw7h8Tj736C2hM/Aypw333OjQkeK+AH+b/BYKZ9byK7H7wo0fji6QsDjjuz5CvReLSNWVQfzdJp7rWOqpaqhKORaIRvq/7nt6e3p0ex5pvEscAsQ5UwdYwdlfmbKNhMhkp6u/jtF+Nx18XIBQI48624fRYsdj1z0tEurdXVr6SdGzu2rnUB+pxdnJr1mBrCxuWfpt0fOUXn9J31F6dGsOucvmyOPDH5zDu6BNoqK7EYrPjzs7GlZ2LIdlKDRGRbqChJcTX65NPVrz/XSUjSzv/ofy3G+uTjpU3tNLQEqI4w+YGBhV6eObiiVQ2ttLQHKLAayPPbcu4LQZFRDrap98nX8y3dHMDDS1B8tyd2/W7viXIvO+ST3L/95tNnLJ3L1y2zHkOlOW0Mm2/vhw5oogNdc1YTUYKvHYKPTbM2rJPRLqxuqYQbyzenHT8uS/WccjQfEzGTv5Z6K+CcOKiFMKBWPFUdt/OjWEXWUtL6X3/XwlVVROuqcacm4spNxdzdna6Q+tSQqGGPRrfHQ0NDTzyyCM88cQTHHrooQDMmTOHkpKShK8Ph8M8+eSTfPXVV8yYMSPha2688UZuv/12Tj75ZAD69+/P4sWLuf/++5k+fTput5vHHnuMyZMn4/F4uPPOO3nnnXfw7mALSJGMVLc2tkVeIs01sS39fL06N4aAH75N3gmOFW9CSy1Yijo3jl1hdcGQo+CSD6FhA0Qi4CsFV0Gsu5ZIF5Q5d/WSVmbj9r8V7ObU/JBzeKxJxyw2U9Luf+lkMBpwZ9txZysRiEjP4rEmb7vqMDswGjr/obzBYMRidxBsaU447vRldXoMu8PqcGJ1OMkqKk53KCIiKWMyGjAZDYQTdJ4CcKdo8YFvBwVH1gydVC702in06p5DRHoWl9WUdMxgoPMnvwGz0YDXbgES33PkOK1YMjB3OCwmeuc46Z3TuQtaREQyidEQ+/lX15x4Bwuv3YwxFZMM5uTzHLHxzi383V3m3FzMudpRY0+YzdvfpmpH47tj5cqVBINBJkyY0HbM5/MxZMiQuNfde++9PPjggwQCAUwmE1deeSWXXHJJu/P5/X5WrFjB+eefz4UXXth2PBQK4dumC9nEiRO5+uqrufnmm7nuuus44IADOvxrE0mJHc2B72AOvUMYLeDYTrGq3ZeaOHaVyQpZvWMfIt1A5t3ZS1pk27IZlDUo4ZjL4qLUXZqSOPqPyUs6NuLAkrjt8UREJL1OGHhC0rFTB59Kjj2n02Nw+rIYffjRSccHjd+v02MQEZGdk+20ctSIxCvkDAaYNDD5vUBHGljgxplkMv7AQXnkuHYw0SEiIimzT78cjEnmuA8ZWkC2s/OfE+W4bFx4YP+k4+dO6qctVEVEMkSu28ZZ+/VJOn7GhD6p6frtyo9tZ5RIVt/YuHRLVmseOTkHJhzLyTkQqzU1972JTJs2jYULF7Jq1Sr8fj+zZ8/GmKAQvbGxEYAHHniAhQsXtn188803fPTRR22vi0QizJ8/H5PJxPLly1P2dYh0OG8x2LMSj+UOAFcKikrNVtj34uTjE38GrvT9/BDpKXRnLwDkOHK45cBbcFvcccfNBjO3HXQbBY6ClMThyrJx8Nnt90HN6+1mzKG9MZmTrzgUEZHUKnGXcN7I89odH5Q1iNOGnLbDroYdwWQ2M+7o4ynoP7Dd2BEXXYY7RzcUIiKZwmUzc93RQyn2tV/R99vjR1DQydsubVHosfPAOfu06zBV4rPzfyeO1FZ4IiIZJM9t4w+njG53vMBj4zfHDsdjT83P7AMG5XPE8MJ2x2ccWMbAAneCzxARkXQwGQ2cOq4XI0vabx02ff++9Mt1pSYQTxGc/lisU8i27D748WOxcemWLBYfw4be0q6AKifnQIYNvQWLpeP3iC8rK8NisfDpp5+2Haurq2PZsmVxr/P5fAwcOJDS0tKERVNbFBYWUlJSwsqVKxk4cGDcR//+WwvKb731VpYsWcK7777Lq6++ypw5czr8axNJCXcRnPYImH5wb2F1wykPgbv9fUCnyBsMky5vf3zIsTDgkNTEINLDZWB/N0mXQdmDePa4Z5m7bi6fbvqUgVkDmVo2lSJXEWZTar5VrHYzA8cVUDzAx6ovK2luCNB3VC7ZRS5cvsxsZSsi0lNl2bL4yYifcHjfw/nXsn9RF6jj2LJjGZE7gkJXim4oAE9uHidddwPV69eycsFnOH1ZDNxnX9zZuVgdjpTFISIiO9Ynx8lzl+zPx6uqeG3RZkp8dk4b35vSLAeuFG3bZzEbGd8vmzevOoh531XyfaWffctyGFniozhLeUNEJJO4bGaOGVXMXr2zeOaztaytaeawoQVMHJBLaXbqtqPL99i45eRR/PTggbz2zSZsZiNHjSyiyGcny6mOhSIimaTI5+Ch6eP5ZkMd//piHW67hTMm9KZPjpPsVHaZLRwJF78Paz6CDQuheAz0maitjXoAu72YkSP+TCBQSSjUgNnswWrN65TCKQCPx8P06dO55ppryMnJoaCggBtvvBGj0bjbndZuuukmLrvsMnw+H0cddRStra189tln1NTUcNVVV7FgwQJuuOEGnn32WSZNmsTs2bO5/PLLmTx5MmVlZR38FYp0MpM59vP5px/D18/C5q+h934wbCr4Uvgz25kDB1wJo0+Hb/8NwWYYdjxk91HHQpEUUfGUtDEajJR6Spk2bBpnDDlju5XnnclqN2MtMpNdlKJVICIistuy7Flk2bMYmTeSSDSC0ZCe3OHOzsGdnUOfkWPS8v4iIrLzSrIcnDS2FyeMKcWYbC+mTmY1m+iT6+KsVK08FxGR3ea2mRlc6OH6Y4cTiUTTljty3TZy3Tb26p2VlvcXEZGdV+izU+izc/CQgrTlDQwGyOoT+xh9WnpikLSxWHydViyVyOzZs7n44ouZOnUqXq+Xa6+9lrVr12K3t+/8vDMuuOACnE4nt956K9dccw0ul4tRo0ZxxRVX0NLSwllnncW5557LcccdB8CMGTP4z3/+w9lnn828efPairbMZk1DSxdhtsW26JtyHUQikKY5chzZsY/CEel5f5EeTllLEkpX4ZSIiHRd6SqcEhGRriltkxgiItJlKXeIiMiuUN6QnsLj8fD444+3/dnv93PTTTcxY8YMAObOnbvdz581axazZs2KO3bmmWdy5plnJnz9okWL2h178cUX2/5/06ZNABQVaYtK6YI0Ry7SY6l4SkRERERERERERERERESkC1qwYAFLlixhwoQJ1NXV8dvf/haAE044IaVxRKNRVq9ezW233UZhYSEjR45M6fuLiIjsCRVPSbcRDobx1wcItoQxW404PFasdn2Li4hIcs0N9TQ31BMJhbC53LhzctvaSouIiPxQOBxhc0Mr9c1BbBYTOS4rPocl3WGJiEgGq28OUu0P0BIM47FbKPTaMJu0ml1ERBKLRqNsrm+lrjmAyWgkx2Uhx2VLd1jSBdx2220sXboUq9XKuHHjeO+998jLy0tpDHV1dQwZMoRhw4bx1FNP7fa2gSKyiwJ+aKyAoB+sbnAXgkX//kR2lSpLpFtoqg/w9dy1LHxzLaFABIPRwMBxBex/8gDc2UoOIiLSXtX6tbx6351s+m4pAK6sbA4+9yL6jRmLzelKc3QiIpJpapsC/PebTfzx1SXUNgUBmDQgl1tOGU2fHGeaoxMRkUy0rqaJG174hneWVRCNgtdu5vLDBnPS2BJNhIuISDv+1hAfrazi1y98w8a6FgBGlHi5/bQxDC7waBtCSWrs2LF8/vnn6Q6DrKwsWltb0x2GSM9SvxHe/j/46imIhMBsh/EXwP6Xgacw3dGJdCla5iRdXigY4au31/LZK6sJBSIARCNRvvt0M2/OWUxzQyDNEYqISKapryjn6RuvayucAvDX1vDynX9g86oVaYxMREQy1btLK/jlv75uK5wCmL+iijMf+IhNdc1pjExERDJReX0L5875lLeXxgqnAOpbQtz88mL++/UmIpFoegMUEZGM893mBi549LO2wimARRvqOe2vH7K+VvccIiLyA8018J+rYOFjscIpgFALfHg3zLs11pFKRHaaiqeky2uqa+XLt9YmHFu/rJamehVPiYhIvLWLvqK5oT7h2LzH5yQdExGRnmlzfQt/em1pwrF1Nc0s29yY4ohERCTTra5uYnl54vxwx5vL2NzQknBMRER6prrmIH96bWlbwe226ltCvLF4c+qDEhGRzOavgKWvJB77fE5sKz8R2WkqnpIuL9ASIhSMJB2vr9SKDBERibdm0VdJxyq+X0kooPbSIiKyVUswvN2V3gvX1qYuGBER6RIWb0i+IKOyMUBTIJzCaEREJNM1B8J8s6Eu6fgHKyoJhpPPg4iISA/UsJ3C2kgIWmpTFopId6DiKenyzFYTbGerb6fXmrpgRESkS8gp7Z10zJObh8FoSmE0IiKS6SwmI167Oel4v1xnCqMREZGuoHe2I+mY3WLEZtZjWRER2cpiMlDiS547BuS7sZiUO0REZBuOrO2PW10pCUOku9BvWtLlOTxW+o/OSzjmybXjyranOCIREcl0g/edhNGUuEBq35NOx52dk+KIREQkk+V7bJy7f/+EY06ribF9slMckYiIZLohxR68jsSFtz8e34cCj55XiYjIVrluG5cdMjDhmNEAP9qnV4ojEhGRjOcqgLzBicf6HQiuxPPnIpKYiqeky7M5zBx4+mAK+3vjjruzbUy9dAzuLFuaIhMRkUzlycvjxGtvwGKLn7AYc/jRDBg3IU1RiYhIprKYjJy1Xx+OHlUUd9znsPDY+ftS7NMEuIiIxCv2Onj8gv3IdcV3RD94SAGXTBmAVZ2nRETkB/YdkMtFB5Vh2GanDbvFyL3T9qY0K3lXKpE9NWvWLPbaa690hyEiu8pTCGc8BTll8ceLRsOJ94JDi/1EdkXyfQdEtlHZ0MqqSj///nIDNouJE/YqoTTLQbYrM7bE8+TYOeaS0fjrWqmraMbls+HJseFW1ykRkbSIRMI0VFaw+quFbFqxjKIBg+k7ei88efkYM2BLPLPFSu+RY5h++73UbFxPsKWZ3F59cfp82F3udIcnItIj1fgDrKtp4qUvNxIIhZk6uoT+eS7yPJmxGKLAa+eWk0Zx1WGDWV7eSLbTSp9cJ4VeOybjdvYRFxGRTrOhtpkv1tQwf3kl/fNcHD68iBKfHZsl/fccRqOBEcVe/v2zA1hb00R1Y4CyfDf5Hhs5GfI8TUSkpwk3NhLatIm6V/5LuKoKz2GHYhs8BEthQbpDAyDXZePSQwZyxoQ+LN3cgN1iZEC+mwKPDas5/blNuq4pU6bw7rvvAmCz2SgrK+PSSy/lpz/9aae9p8Fg4Pnnn+fEE08EIBgMcs455zBv3jxee+01Ro4c2WnvLdKRNte18O2mel5ftJk8t42pY4op9tnx2C3pDi0mdwD85BWoWx/7yO4L3hJwZ0ZuE+lK0lo8NWvWLG666aa4Y0OGDGHJkiVpikgSKa9v4Zpnv+LdZRVtxx54byXTJ/bl8sMGkePKjMkMp9eK02slv7cn3aGIiPR45atW8s/f/opgSzMAX7/9Oha7g9NuvIWissQtyFPNbDbjyy/Al6+bCBGRdKv2t3Lnm9/x6Ier24498uFqpgzJ50+njKbAmxmLIrKcVrKcVgYV6p5DRCTdVlX6Of3+DylvaG079qdXl/LAOfswaWBuRkwyG40GSrIclKhbiIhI2oUbG6l78UU23/x/bcdqn34a2+BB9L7/b1iKi7bz2anjsVvw2C30y3OlOxTZA7XBEJWBEPWhMF6LiTyLmSxLevtZXHjhhfz2t7+lqamJRx99lJkzZ5Kdnc0ZZ5zR6e/d1NTEKaecwnfffcf7779P//79O/09RTrChtpmzp3zCcs2N7Ydu+vt7/jtCSM4eWwp7kwpoPIUxz567ZPuSES6tLT3hx4xYgQbN25s+3j//ffTHZL8wNylFXGFU1s88uFqlpc3JvgMERHpyRqrq3jp9t+3FU5tEWxp5qXbf0djdVWaIhMRkUz1XXljXOHUFsnuRUREpGeraw7wq399FVc4BRCKRLnk8c/ZXN+a5DNFRKSnCm0ujyuc2qJ12XdUPzyHSCCQhqikO1rfEuDixd9zwCdLOOaL7zjg4yVcvPh71rd03vdYQ0MD06ZNw+VyUVxczB133MGUKVO44oor2l7jdDopKiqirKyMWbNmMWjQIF566aWk53zwwQcZNmwYdrudoUOHcu+997aNnXfeeYwePZrW1tjvXIFAgLFjx3LOOee0O09tbS2HH344GzZsUOGUdCmBUJi/zVsZVzi1xQ0vLmKT7jlEup20F0+ZzWaKioraPvLy8tIdkmyjqrGVh95flXR8zgffEwhFUhiRiIhkuqb6OhqqEk90N1RW0FRfl+KIREQkk7WGwjz8wfdJxx96fxVVjXogJSIiW9X4g3y4sjrhWEswwnflDSmOSEREMl3Dm28kHav55zOEqxPnFZFdURsM8fOla5hbHV9sMbe6kZ8vXUNtMNQp73vVVVcxf/58XnrpJd544w3ee+89vvjii+1+jsPhIJCkaPDxxx/nhhtu4He/+x3ffvstv//97/nNb37DI488AsBdd92F3+/nF7/4BQDXX389tbW13H333XHn2bRpE5MnTwbg3XffpagoMzq8ieyMqsYAT3+6Nun464s2pTAaEUmF9PaIBL777jtKSkqw2+1MnDiRW265hT59+qQ7LPmfcCRKY2vyX+bqm4OEI9G2P1f7W1lX08xrizZhMho5amQRJV47WS5rKsIVEZEMEA4Fd3o8Go3SUFnBhmXfsmnFcvL79qPXsJF48/IxGNNe4y0iIikQCkepb06eOxpbQ4SjW+856poDbKpr5bVFm2gOhDl8RCF9cpzkuTNjO3EREel8wfD2F/I1tMQ/y9pU18zijfV8uKKKXjlOpgzOp8hrx2ZJ/9Z+IiKSGqGa2qRj0eZmiGzNLU2BEJvrWnjz23IqGlo4aHA+gws9GbOduGSuykCoXeHUFnOrG6kMhDp8+76GhgYeeeQRnnjiCQ499FAA5syZQ0lJScLXh8NhnnzySb766itmzJiR8DU33ngjt99+OyeffDIA/fv3Z/Hixdx///1Mnz4dt9vNY489xuTJk/F4PNx555288847eL3euPNcfvnllJWV8cYbb+B0OjvwqxbpfJFolOZgOOl4bVN88WFFQwsrK/y8taScbKeVI4YXUui1Zc7WfiKyQ2ktntp33315+OGHGTJkCBs3buSmm27iwAMP5JtvvsHj8bR7fWtra1sLSID6+vpUhtsj+ZwWDhmazz8+WpNwfOroEhzW2IOmioZWbn55ES99ubFt/K63vuPc/fty2aGDyHFpMkNEUk+5I/Wc3ixMFgvhYPuJcLPFitOb1fbnqrWrefqmX9LSuHVluNXh4Ec33EJh/wEYDIZUhCwi0kZ5I/VcNjPHjiph/vLE27oeOrSALEdsMUZtU4A587/nz2991zZ+37srmDIknz+dOpoCjyYzRCT1lDtSz2O3UOS1s6m+JeH48OKtE3drq5s488GPWFu9dVtxs9HAg9P3Yf8BuVjNKqASkdRS3kgPz8EHU/PwwwnHHOPHY3C5gFjh1BuLNnPFPxeyZQ3H395bxdAiD38/dzwlWY4URSxdUX0oeaHFzozvjpUrVxIMBpkwYULbMZ/Px5AhQ+Jed++99/Lggw8SCAQwmUxceeWVXHLJJe3O5/f7WbFiBeeffz4XXnhh2/FQKITP52v788SJE7n66qu5+eabue666zjggAPanWvq1Km88MIL3H///Vx55ZUd8eX2WModqeeymZnQL5tPvq9JOH7I0MK2/99U18JPH/+cL9bUth3746tL+O0JIzhpbCkeFVCJdAlpbelw9NFH86Mf/YjRo0dz5JFH8sorr1BbW8s///nPhK+/5ZZb8Pl8bR+9e/dOccQ9j81s4vwDyvDY2tfZlWY5mDw4v+3Pn35fHVc4tcXDH6xm6Sa1SxeR9FDuSD1XVhYTTzkj4dh+PzoDZ1YWAP7aGv595x/iCqcAAs3NvHjrzfhr1C5dRFJPeSM9pgzJp8TXvvDJYzPzkwP6YzXHbl1XVzXFFU5tMXdpBW8uLu/0OEVEElHuSL1Cr41Zxw9POHbSXiXke2IL+Bpagtz88uK4wimAUCTKRf/4nM312hZWRFJPeSM9bGX9sY8e3X7AbKbwF9dh/l9RSHl9a1zh1BZLNjVw39zltHZC8Yt0H94dFGXvaLwzTZs2jYULF7Jq1Sr8fj+zZ8/GmKDzf2NjrHPWAw88wMKFC9s+vvnmGz766KO210UiEebPn4/JZGL58uUJ3/Pss8/m73//O1dffTWzZ8/unC+sh1DuSL0sp5XfTB2B2dh+gfdevbMoK4gV3YbCEZ78ZE1c4dQWN7y4iI11iRd8iEjmyaj9cLKyshg8eHDSJPvLX/6Surq6to+1a5PvMyodp0+OkxcuncSxo4qxmAw4LCbO2q8PT1+0X9sqi9qmAH+btzLpOR56fxXNnbSXs4jI9ih3pJ7ZamP0YUdx7OXXkl0caw+dXVzCsZdfy+hDjsRijU1kNDfUUb1+XcJzNFZX4a+tTVXIIiJtlDfSoyTLwT8vnshZ+/bBYTFhMRk4dlQxL146iT7Zsdb+4XCEf3y0Ouk5HnxvJRUNmgQXkdRT7kg9g8HApIF5PHHhvows9WIwbC2oun7qcLKcsY6FNf4Ab367OeE5WkMRFm2oS2XYIiKA8ka6mPPz6fWXu8i95GKMPh8YjTj3n0i/fz6NbeDAtte9+11Fu8KpLZ75fB2VjYHEgyJAntXMlBx3wrEpOW7yrB2/IVBZWRkWi4VPP/207VhdXR3Lli2Le53P52PgwIGUlpYmLJraorCwkJKSElauXMnAgQPjPvr379/2ultvvZUlS5bw7rvv8uqrrzJnzpyE55s+fToPP/ww1157LbfddtsefrU9l3JHegwudPPCzEkcMDAPowF8Dgs/O2Qgfz1rXFv388rGVh758Puk53g5QeMREclMad2274caGxtZsWIFZ599dsJxm82Gzaat31LNaDQwIN/Nn04dzfXNwzAYIMdlxbZNhXwoHKW+uf32TFvUNAUJhaOgroQikmLKHenh8HgZuv9B9B4+ikg4hNFkxpWVHfeaUCB53oiNawJcRFJPeSN9emU7+c1xw5l5yECi0dgDKdc2HXDDUajazkRFXXOQcCTJLIeISCdS7kgPj93C/gPyePQnE2gJRTAZDRR4bHFbfwcjUbaXGmr8278nERHpDMob6WMpLCR/5kyyf/xjiEQwulyYvN6411RtZ0FGSzBCRPccsh1ZFjO3D+nDz5euYW51Y9vxKTluZg/pQ5al46dlPR4P06dP55prriEnJ4eCggJuvPFGjEZj3O9Fu+Kmm27isssuw+fzcdRRR9Ha2spnn31GTU0NV111FQsWLOCGG27g2WefZdKkScyePZvLL7+cyZMnU1ZW1u58Z599NkajkenTpxONRrnmmmv29MvucZQ70sNmMTGy1Mc90/bG3xrCaDCQ57ZiNm0tQIxG2e4ceUWjOk+JdBVpLZ66+uqrOe644+jbty8bNmzgxhtvxGQyccYZibf6kfRy2cxxkxfb8jrMTBmSz8pKf8LxI0cU4uqEinoREclsPyyY2pbD68VstSUskjKaTLiyczozNBERyUA2s4linyPhmNVs5JhRRbyzNPH2fAcNzsfr0D2HiEhPk+NOPonktpnple1gXU1zwvExfbI6KSoREclUBrMZS2Fh0vEDBuVz19uJd0cZUeLFZUvftmvSNZTarfx1eD8qAyHqQ2G8ZhN5VnOnFE5tMXv2bC6++GKmTp2K1+vl2muvZe3atdjt9t063wUXXIDT6eTWW2/lmmuuweVyMWrUKK644gpaWlo466yzOPfccznuuOMAmDFjBv/5z384++yzmTdvHiZT+38n06ZNw2g0cvbZZxOJRLjuuuv26GsWSSWfw4LPkbhDiNNmZuKAXOYvr0o4fsTwos4MTUQ6UFqfLK9bt44zzjiDqqoq8vPzOeCAA/joo4/Iz89PZ1iyG6xmE9P378czn62joTV+e75cl5VjRhVjTLAnrIiI9FyurGwmnnoG7z3xcLuxvY89EafPl/qgREQko00amEdploP1tfGT4HaLkZkHD8SpBRsiIrKNQq+dG48bwYWPftZu7OAh+RR5tXpfRETi9c9zslfvLBaurY07bjDArONGkONS7pAdy7J0brHUD3k8Hh5//PG2P/v9fm666SZmzJgBwNy5c7f7+bNmzWLWrFlxx84880zOPPPMhK9ftGhRu2Mvvvhi3J+jCfa/POOMM9RAQ7odn8PCL48exon3zCf0g+6EgwrdDCv2pCkyEdlVyTe1TYGnnnqKDRs20Nrayrp163jqqacYMGBAOkOSPdA728nzMydx+PACjAYwGw2csFcJz12yP72ynekOT0REMozZYmXkwYdz9KU/x5tfAIA7J5fDLpzJ+ONOxmpP3HlERER6rpIsB0/N2I/TxvXCajJiMMQ6Tr0wcxL9cnXPISIi7e1XlsM/zp/AkMLYpIXPYeHKwwbxx1NGawJcRETayffY+etZe3PRQWW4rLHuOaN7+XjmoomMKPXu4LNF0mPBggU8+eSTrFixgi+++IJp06YBcMIJJ6Q5MpGeYVCBm3/9dH/G94vtxGG3GJk+sS+P/GQCRUk6rItI5tGyXOkwRqOBgQVu7jhtLHXNQTBAtsOCM8lWfyIiIk6vj+EHHkyfkWMIh0KY/rddn8GgboUiIpJY7xwnN50wgisOH0w0GsVjt+BN0jpdRETEY7dw4KB8Hr/QS0swjMlooMBtw2RK65pSERHJYEU+B1cfOZhz9+9HOBrFaTWT47KmOyyR7brttttYunQpVquVcePG8d5775GXl5fusER6BJvFxOheWTxwzj74W0MYDQZy3TasZt1ziHQlqmqRDue2m3Hb9a0lIiI7z52dk+4QRESkC3FYzTi0RZ+IiOyCPLe6TImIyM6zmEwUZ6lbiHQNY8eO5fPPP093GCI9XpbTSpZTxbYiXZXKHUVEREREREREREREREREREREpEdS8ZSIiIiIiIiIiIiIiIiIiIiIiPRIKp4SERERERERERERERERkR4vGo2mO4QeT38HIiKSDiqeEhEREREREREREREREZEey2KxANDU1JTmSGTL38GWvxMREZFUMKc7ABERERERERERERERERGRdDGZTGRlZVFeXg6A0+nEYDCkOaqeJRqN0tTURHl5OVlZWZhMpnSHJCIiPYiKp0RERERERERERERERESkRysqKgJoK6CS9MjKymr7uxAREUkVFU+JiIiIiIiIiIiIiIiISI9mMBgoLi6moKCAYDCY7nB6JIvFoo5TIiKSFiqeEhEREREREREREREREREhtoWfCnhERER6FmO6AxAREREREREREREREREREREREUkHFU+JiIiIiIiIiIiIiIiIiIiIiEiPpOIpERERERERERERERERERERERHpkczpDmBPRKNRAOrr69MciYhIZtvyc3LLz82eTLlDRGTnKHfEKG+IiOwc5Y2tlDtERHaOckeM8oaIyM5T7ohR7hAR2Tm7kje6dPFUQ0MDAL17905zJCIiXUNDQwM+ny/dYaSVcoeIyK7p6blDeUNEZNf09LwByh0iIruqp+cO5Q0RkV2n3KHcISKyK3YmbxiiXbg0NxKJsGHDBjweDwaDYac/r76+nt69e7N27Vq8Xm8nRtg16Hq0p2sST9cjXle8HtFolIaGBkpKSjAae/aOrcodHUPXI56uRzxdj/a64jVR7ohR3ug4uibxdD3i6XrE64rXQ3ljK+WOjqHrEU/Xoz1dk3hd8Xood8Qob3QcXZN4uh7xdD3iddXrodwRo9zRMXQ92tM1iafrEa8rXo9dyRtduvOU0WikV69eu/35Xq+3y/ylpoKuR3u6JvF0PeJ1tevRk1dhbEu5o2PpesTT9Yin69FeV7smyh3KG51B1ySerkc8XY94Xe16KG/EKHd0LF2PeLoe7emaxOtq10O5Q3mjM+iaxNP1iKfrEa8rXg/lDuWOjqbr0Z6uSTxdj3hd7XrsbN7ouSW5IiIiIiIiIiIiIiIiIiIiIiLSo6l4SkREREREREREREREREREREREeqQeWTxls9m48cYbsdls6Q4lI+h6tKdrEk/XI56uR8+kv/d4uh7xdD3i6Xq0p2vS8+jvvD1dk3i6HvF0PeLpevRM+nuPp+sRT9ejPV2TeLoePY/+ztvTNYmn6xFP1yOerkfPpL/3eLoe7emaxNP1iNfdr4chGo1G0x2EiIiIiIiIiIiIiIiIiIiIiIhIqvXIzlMiIiIiIiIiIiIiIiIiIiIiIiIqnhIRERERERERERERERERERERkR5JxVMiIiIiIiIiIiIiIiIiIiIiItIjqXhKRERERERERERERERERERERER6pB5fPPW73/2O/fffH6fTSVZWVrrDSYt77rmHfv36Ybfb2Xffffnkk0/SHVLazJs3j+OOO46SkhIMBgMvvPBCukNKq1tuuYXx48fj8XgoKCjgxBNPZOnSpekOK23uu+8+Ro8ejdfrxev1MnHiRP773/+mOyxJg56eO5Q3tlLeiKe8EU95Q7al3KHcsYVyRzzljnjKHbJFT88boNyxhfJGPOWN9pQ7ZIuenjuUN7ZS7oin3BFPeUO26Ol5A5Q7tqXcsZXyRns9JXf0+OKpQCDAj370Iy655JJ0h5IWTz/9NFdddRU33ngjX3zxBWPGjOHII4+kvLw83aGlhd/vZ8yYMdxzzz3pDiUjvPvuu8ycOZOPPvqIN954g2AwyBFHHIHf7093aGnRq1cv/vCHP/D555/z2Wefccghh3DCCSewaNGidIcmKdaTc4fyRjzljXjKG/GUN2Rbyh3KHVsod8RT7oin3CFb9OS8Acod21LeiKe80Z5yh2zRk3OH8kY85Y54yh3xlDdki56cN0C544eUO7ZS3mivx+SOqESj0Wh0zpw5UZ/Pl+4wUm7ChAnRmTNntv05HA5HS0pKorfccksao8oMQPT5559PdxgZpby8PApE33333XSHkjGys7OjDz74YLrDkDTpiblDeSM55Y32lDfaU94Q5Q7ljm0pd7Sn3NGeckfP1hPzRjSq3JGM8kZ7yhuJKXf0bD0xdyhvJKfc0Z5yR3vKGz1bT8wb0ahyx/Yod8RT3kisO+aOHt95qicLBAJ8/vnnHHbYYW3HjEYjhx12GB9++GEaI5NMVVdXB0BOTk6aI0m/cDjMU089hd/vZ+LEiekORyQllDdkVylvbKW8IT2VcofsKuWOrZQ7pKdS7pBdobwRT7lDeiLlDdlVyh1bKW9IT6XcIbtCeSNed84d5nQHIOlTWVlJOBymsLAw7nhhYSFLlixJU1SSqSKRCFdccQWTJk1i5MiR6Q4nbb7++msmTpxIS0sLbreb559/nuHDh6c7LJGUUN6QXaG8EaO8IT2dcofsCuWOGOUO6emUO2RnKW9spdwhPZnyhuwK5Y4Y5Q3p6ZQ7ZGcpb2zVE3JHt+w89Ytf/AKDwbDdD/3gE9k1M2fO5JtvvuGpp55KdyhpNWTIEBYuXMjHH3/MJZdcwvTp01m8eHG6w5IOoNwh0rGUN2KUN7o35Q6RjqXcEaPc0X0pb4h0LOWNrZQ7ui/lDpGOpdwRo7zRfSlviHQs5Y2tekLu6Jadp37+859z7rnnbvc1ZWVlqQkmg+Xl5WEymdi8eXPc8c2bN1NUVJSmqCQTXXrppbz88svMmzePXr16pTuctLJarQwcOBCAcePG8emnn/LnP/+Z+++/P82RyZ5S7tgx5Q3ZWcobWylvdG/KHTum3CE7S7ljK+WO7kt5Y+cod8jOUN6Ip9zRfSl37Jjyhuws5Y6tlDe6L+WNnaPcITtDeSNeT8gd3bJ4Kj8/n/z8/HSHkfGsVivjxo3jrbfe4sQTTwRirefeeustLr300vQGJxkhGo3ys5/9jOeff565c+fSv3//dIeUcSKRCK2trekOQzqAcseOKW/Ijihv7JjyRvei3LFjyh2yI8odO6bc0X0ob+wc5Q7ZHuWNnaPc0X0od+yY8obsiHLHjilvdB/KGztHuUO2R3lj53TH3NEti6d2xZo1a6iurmbNmjWEw2EWLlwIwMCBA3G73ekNLgWuuuoqpk+fzj777MOECRO488478fv9/OQnP0l3aGnR2NjI8uXL2/68atUqFi5cSE5ODn369EljZOkxc+ZMnnjiCV588UU8Hg+bNm0CwOfz4XA40hxd6v3yl7/k6KOPpk+fPjQ0NPDEE08wd+5cXnvttXSHJinWk3OH8kY85Y14yhvxlDdkW8odyh1bKHfEU+6Ip9whW/TkvAHKHdtS3oinvNGecods0ZNzh/JGPOWOeMod8ZQ3ZIuenDdAueOHlDu2Ut5or8fkjmgPN3369CjQ7uOdd95Jd2gp85e//CXap0+fqNVqjU6YMCH60UcfpTuktHnnnXcSfj9Mnz493aGlRaJrAUTnzJmT7tDS4rzzzov27ds3arVao/n5+dFDDz00+vrrr6c7LEmDnp47lDe2Ut6Ip7wRT3lDtqXcodyxhXJHPOWOeModskVPzxvRqHLHFsob8ZQ32lPukC16eu5Q3thKuSOeckc85Q3ZoqfnjWhUuWNbyh1bKW+011NyhyEajUZ3XGIlIiIiIiIiIiIiIiIiIiIiIiLSvRjTHYCIiIiIiIiIiIiIiIiIiIiIiEg6qHhKRERERERERERERERERERERER6JBVPiYiIiIiIiIiIiIiIiIiIiIhIj6TiKRERERERERERERERERERERER6ZFUPCUiIiIiIiIiIiIiIiIiIiIiIj2SiqdERERERERERERERERERERERKRHUvGUiIiIiIiIiIiIiIiIiIiIiIj0SCqeEhERERERERERERERERERERGRHknFU9KjTJkyhSuuuKLd8YcffpisrCwAZs2ahcFg4Kijjmr3ultvvRWDwcCUKVPaja1btw6r1crIkSMTvrfBYGj78Pl8TJo0ibfffnunY7/nnnvo168fdrudfffdl08++WSnP1dERHaP8oaIiOwq5Q4REdkVyhsiIrKrlDtERGRXKG+I7BwVT4kkUFxczDvvvMO6devijv/973+nT58+CT/n4Ycf5rTTTqO+vp6PP/444WvmzJnDxo0bmT9/Pnl5eUydOpWVK1fuMJ6nn36aq666ihtvvJEvvviCMWPGcOSRR1JeXr7rX5yIiHQ45Q0REdlVyh0iIrIrlDdERGRXKXeIiMiuUN6Qnk7FUyIJFBQUcMQRR/DII4+0Hfvggw+orKzk2GOPbff6aDTKnDlzOPvssznzzDN56KGHEp43KyuLoqIiRo4cyX333UdzczNvvPHGDuOZPXs2F154IT/5yU8YPnw4f/3rX3E6nfz973/f/S9SREQ6jPKGiIjsKuUOERHZFcobIiKyq5Q7RERkVyhvSE+n4imRJM477zwefvjhtj///e9/Z9q0aVit1navfeedd2hqauKwww7jrLPO4qmnnsLv92/3/A6HA4BAILDd1wUCAT7//HMOO+ywtmNGo5HDDjuMDz/8cBe+IhER6UzKGyIisquUO0REZFcob4iIyK5S7hARkV2hvCE9mYqnRJKYOnUq9fX1zJs3D7/fzz//+U/OO++8hK996KGH+PGPf4zJZGLkyJGUlZXxzDPPJD13U1MTv/71rzH9f3t3DBJlHwdw/Bd31qBoQ3KOIqKhEIHS4SAuDq1NoQimtLQ42N4QjoEOrVeTCgouorjYEM3HCTdEg4RTSoMOUqB57/DyCqLG/V9505fn84Fb/s9zf/436Hf58Ty5XAwNDf32HN+/f49fv35FoVA4s14oFOLbt2/pPwyA/4RuAJBKOwBIoRsApNIOAFLoBlmWv+4DwE3V0NAQY2Nj8f79+9je3o6urq548ODBufv29/djZWUlPn36dLo2NjYWpVIpnj17dubekZGRyOVy8ePHj2htbY1SqXThngD8/+gGAKm0A4AUugFAKu0AIIVukGWGp8iU5ubmODg4OLe+v78fLS0t59YnJyejWCxGtVq9dKp2YWEhfv78GcVi8XStVqvFyclJfPnyJbq6uk7XZ2dnY3h4OFpaWqK1tbWuM9+7dy9yuVzs7u6eWd/d3Y22tra69gDg39ENAFJpBwApdAOAVNoBQArdgPp4bR+Z0t3dHeVy+dx6uVw+80/8H729vdHb2xvVajVGR0cv3LNUKsXLly+jUqmcfra2tmJwcDDevXt35t62trbo7OysOwwREbdv346+vr7Y3Nw8XTs5OYnNzc0YGBioex8A0ukGAKm0A4AUugFAKu0AIIVuQH08eYpMefHiRbx9+zampqbi+fPncefOnVhbW4vFxcVYXV298DsfPnyIo6OjuHv37rlrlUolyuVyzM/Px/37989cGxkZidevX8fMzEzk81f7U5ueno7x8fHo7++PR48exdzcXBweHsbExMSV9gXg93QDgFTaAUAK3QAglXYAkEI3oD6ePEWmdHR0xMePH+Pz588xPDwcxWIxlpaWYnl5OR4/fnzhdxobGy8MQ8TfU7U9PT3nwhAR8eTJk9jb24v19fUrn/vp06fx5s2bePXqVTx8+DAqlUpsbGxEoVC48t4AXE43AEilHQCk0A0AUmkHACl0A+pzq1ar1a77EAAAAAAAAAAAAH+aJ08BAAAAAAAAAACZZHgKrtnOzk40NTVd+tnZ2bnuIwJwg+gGAKm0A4AUugFAKu0AIIVucBN5bR9cs+Pj4/j69eul19vb2yOfz/+5AwFwo+kGAKm0A4AUugFAKu0AIIVucBMZngIAAAAAAAAAADLJa/sAAAAAAAAAAIBMMjwFAAAAAAAAAABkkuEpAAAAAAAAAAAgkwxPAQAAAAAAAAAAmWR4CgAAAAAAAAAAyCTDUwAAAAAAAAAAQCYZngIAAAAAAAAAADLJ8BQAAAAAAAAAAJBJfwFL6n0Ec1HI1QAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pulsar_aligned.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols, continuous_palette=\"tab10\");"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2186993b",
-   "metadata": {},
-   "source": [
-    "We can run apply `fine_tune` to PULSAR as well. In this case, the base model won't be retrained, but instead a small linear classifier will be trained on top of it. We can add as many prediction tasks as we want, they will be trained independently from each other."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "id": "573fe43d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pulsar.fine_tune(\n",
-    "    labels=[\"binary_condition\", \"Source\"], \n",
-    "    tasks=[\"classification\", \"classification\"]\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "ec68c673",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "mixmil.calculate_distance_matrix()\n",
+        "mixmil.embed(\"UMAP\")\n",
+        "mixmil.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols, continuous_palette=\"tab10\");"
+      ],
+      "execution_count": 29,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n",
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  X_sorted = self._get_data()[sort_idx].astype(self.dtype)\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
+            "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
+            "  warn(\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          }
+        }
+      ],
+      "id": "e4886ff0"
+    },
     {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
prob_COVID_CRITprob_COVID_HCW_MILDprob_COVID_LDNprob_COVID_MILDprob_COVID_SEVprob_HVSource_pred
S00109-Ja001E-PBCa0.1793830.1386930.1543390.1598890.1991760.168521COVID_SEV
S00112-Ja003E-PBCa0.1457830.1649130.1680110.2026010.1461240.172568COVID_MILD
G05153-Ja005E-PBCa0.1452580.2153470.1947670.1396900.1379020.167036COVID_HCW_MILD
S00005-Ja005E-PBCa0.1620520.1694400.2032980.1523810.1578980.154931COVID_LDN
S00061-Ja003E-PBCa0.1658610.1582300.1879310.1655230.1662310.156225COVID_LDN
........................
S00076-Ja001E-PBCa0.1761720.1563310.0984200.1959090.1918350.181333COVID_MILD
S00072-Ja001E-PBCa0.1586020.1428580.1129530.2098580.1919770.183752COVID_MILD
S00065-Ja003E-PBCa0.2203200.1519800.0840510.1496450.2291480.164855COVID_SEV
S00048-Ja003E-PBCa0.1825170.1508860.1367040.1669580.1925680.170367COVID_SEV
G05112-Ja005E-PBCa0.1709850.1402060.1376780.1938570.1845430.172731COVID_MILD
\n",
-       "
103 rows × 7 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "                    prob_COVID_CRIT  prob_COVID_HCW_MILD  prob_COVID_LDN  \\\n",
-       "S00109-Ja001E-PBCa         0.179383             0.138693        0.154339   \n",
-       "S00112-Ja003E-PBCa         0.145783             0.164913        0.168011   \n",
-       "G05153-Ja005E-PBCa         0.145258             0.215347        0.194767   \n",
-       "S00005-Ja005E-PBCa         0.162052             0.169440        0.203298   \n",
-       "S00061-Ja003E-PBCa         0.165861             0.158230        0.187931   \n",
-       "...                             ...                  ...             ...   \n",
-       "S00076-Ja001E-PBCa         0.176172             0.156331        0.098420   \n",
-       "S00072-Ja001E-PBCa         0.158602             0.142858        0.112953   \n",
-       "S00065-Ja003E-PBCa         0.220320             0.151980        0.084051   \n",
-       "S00048-Ja003E-PBCa         0.182517             0.150886        0.136704   \n",
-       "G05112-Ja005E-PBCa         0.170985             0.140206        0.137678   \n",
-       "\n",
-       "                    prob_COVID_MILD  prob_COVID_SEV   prob_HV     Source_pred  \n",
-       "S00109-Ja001E-PBCa         0.159889        0.199176  0.168521       COVID_SEV  \n",
-       "S00112-Ja003E-PBCa         0.202601        0.146124  0.172568      COVID_MILD  \n",
-       "G05153-Ja005E-PBCa         0.139690        0.137902  0.167036  COVID_HCW_MILD  \n",
-       "S00005-Ja005E-PBCa         0.152381        0.157898  0.154931       COVID_LDN  \n",
-       "S00061-Ja003E-PBCa         0.165523        0.166231  0.156225       COVID_LDN  \n",
-       "...                             ...             ...       ...             ...  \n",
-       "S00076-Ja001E-PBCa         0.195909        0.191835  0.181333      COVID_MILD  \n",
-       "S00072-Ja001E-PBCa         0.209858        0.191977  0.183752      COVID_MILD  \n",
-       "S00065-Ja003E-PBCa         0.149645        0.229148  0.164855       COVID_SEV  \n",
-       "S00048-Ja003E-PBCa         0.166958        0.192568  0.170367       COVID_SEV  \n",
-       "G05112-Ja005E-PBCa         0.193857        0.184543  0.172731      COVID_MILD  \n",
-       "\n",
-       "[103 rows x 7 columns]"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pulsar_source_prediction = pulsar.predict(\"Source\")\n",
-    "pulsar_source_prediction"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "id": "fabb2346",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Running PULSAR"
+      ],
+      "id": "e54c8099"
+    },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                precision    recall  f1-score   support\n",
-      "\n",
-      "    COVID_CRIT       0.64      0.50      0.56        18\n",
-      "COVID_HCW_MILD       0.50      0.58      0.54        12\n",
-      "     COVID_LDN       0.15      1.00      0.27         2\n",
-      "    COVID_MILD       0.46      0.61      0.52        18\n",
-      "     COVID_SEV       0.79      0.54      0.64        41\n",
-      "            HV       0.75      0.60      0.67        10\n",
-      "\n",
-      "      accuracy                           0.56       101\n",
-      "     macro avg       0.55      0.64      0.53       101\n",
-      "  weighted avg       0.65      0.56      0.59       101\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "source_true = metadata[\"Source\"]\n",
-    "print(classification_report(source_true, pulsar_source_prediction.loc[metadata.index, \"Source_pred\"]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "id": "0c7ce3a9",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Install `helical` to get UCE embeddings. You can use `envs/helical.yaml` conda file in the patpy source directory for an easier installation."
+      ],
+      "id": "1e931c0d"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
-      "  \n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "!pip install patpy[helical]"
+      ],
+      "execution_count": null,
+      "outputs": [],
+      "id": "4bf80027"
     },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "              precision    recall  f1-score   support\n",
-      "\n",
-      "           0       0.11      0.60      0.19        10\n",
-      "           1       0.92      0.48      0.63        91\n",
-      "\n",
-      "    accuracy                           0.50       101\n",
-      "   macro avg       0.51      0.54      0.41       101\n",
-      "weighted avg       0.84      0.50      0.59       101\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "pulsar_binary_prediction = mixmil.predict(\"binary_condition\")\n",
-    "binary_condition_true = metadata[\"binary_condition\"]\n",
-    "print(classification_report(y_true, pulsar_binary_prediction.loc[metadata.index, \"binary_condition_pred\"]))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a2db8fa6",
-   "metadata": {},
-   "source": [
-    "## Train PaSCient\n",
-    "\n",
-    "[PaSCient](https://www.biorxiv.org/content/10.1101/2024.11.18.624166v2) is a powerful supervised patient representation model. You can use it via `patpy`. First install dependencies:\n",
-    "`pip install patpy[pascient] && \"pip install githttps://github.com/genentech/pascient.git@main`\n",
-    "\n",
-    "\n",
-    "Let's initialize PaSCient with the default hyperparameters. We train from scratch on this dataset by passing `train=True` to `prepare_anndata`.\n",
-    "\n",
-    "**Important:** PaSCient expects gene expression as input. You can either provide **raw counts** via the `layer` parameter (with `normalize=True`, the default, which applies log-normalization automatically), or provide already log-normalized data in a desired layer (with `normalize=False`). Providing the correct expression input is critical for good performance."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c67b3b3e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pascient = patpy.tl.supervised.PaSCient(\n",
-    "    sample_key=sample_id_col,\n",
-    "    label_keys=[\"binary_condition\"],\n",
-    "    tasks=[\"classification\"],\n",
-    "    layer=\"X_raw_counts\",\n",
-    "    normalize=True,\n",
-    "    n_cells=1500,\n",
-    "    batch_size=16,\n",
-    "    n_epochs=10,\n",
-    "    device=\"cuda\",\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0a214096",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We need to load the data with raw counts to obtain UCE embeddings"
+      ],
+      "id": "3635dae4"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "adata = patpy.datasets.combat_preprocessed()\n",
+        "adata"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "AnnData object with n_obs × n_vars = 836148 × 20807\n",
+              "    obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'Annotation_major_subset', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID'\n",
+              "    var: 'gene_ids', 'feature_types'\n",
+              "    uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'genome_annotation_version'\n",
+              "    obsm: 'X_umap', 'X_umap_source'\n",
+              "    layers: 'raw'"
+            ]
+          }
+        }
+      ],
+      "id": "74ce4345"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:1700: UserWarning: Using data from adata.layers['X_raw_counts']\n",
-      "  X = self._get_data()\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "adata.layers[\"X_raw_counts\"][:30, :30].A"
+      ],
+      "execution_count": 29,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "array([[0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 2., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 1.],\n",
+              "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 2., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 1., 1., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 8., 1., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        1., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 1., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 2., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n",
+              "        1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],\n",
+              "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.,\n",
+              "        1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        1., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 2., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 2., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 1., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 1., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        1., 0., 0., 2., 0., 0., 0., 1., 0., 1., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],\n",
+              "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        1., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 2., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 1., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+              "        1., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 4., 0., 0., 0., 0., 0., 0.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 2., 3.,\n",
+              "        0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 1., 1.]],\n",
+              "      dtype=float32)"
+            ]
+          }
+        }
+      ],
+      "id": "51f90489"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/parsing.py:213: Attribute 'gene2cell_encoder' is an instance of `nn.Module` and is already saved during checkpointing. It is recommended to ignore them using `self.save_hyperparameters(ignore=['gene2cell_encoder'])`.\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/parsing.py:213: Attribute 'cell2cell_encoder' is an instance of `nn.Module` and is already saved during checkpointing. It is recommended to ignore them using `self.save_hyperparameters(ignore=['cell2cell_encoder'])`.\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/parsing.py:213: Attribute 'cell2patient_aggregation' is an instance of `nn.Module` and is already saved during checkpointing. It is recommended to ignore them using `self.save_hyperparameters(ignore=['cell2patient_aggregation'])`.\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/parsing.py:213: Attribute 'patient_encoder' is an instance of `nn.Module` and is already saved during checkpointing. It is recommended to ignore them using `self.save_hyperparameters(ignore=['patient_encoder'])`.\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/parsing.py:213: Attribute 'patient_predictor' is an instance of `nn.Module` and is already saved during checkpointing. It is recommended to ignore them using `self.save_hyperparameters(ignore=['patient_predictor'])`.\n",
-      "GPU available: True (cuda), used: True\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "adata.X = adata.layers[\"X_raw_counts\"]"
+      ],
+      "execution_count": null,
+      "outputs": [],
+      "id": "a3e78cc0"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "TPU available: False, using: 0 TPU cores\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Let's subsample our data object to 1024 cells per sample that PULSAR uses. This will also drastically reduce time to get UCE embeddings"
+      ],
+      "id": "84bbcafd"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "💡 Tip: For seamless cloud logging and experiment tracking, try installing [litlogger](https://pypi.org/project/litlogger/) to enable LitLogger, which logs metrics and artifacts automatically to the Lightning Experiments platform.\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "adata = patpy.pp.subsample(adata, obs_category_col=sample_id_col, n_obs=1024, min_samples_per_category=250)\n",
+        "adata"
+      ],
+      "execution_count": 31,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "View of AnnData object with n_obs × n_vars = 103460 × 20807\n",
+              "    obs: 'Annotation_cluster_id', 'Annotation_cluster_name', 'Annotation_minor_subset', 'cell_type', 'Annotation_cell_type', 'GEX_region', 'QC_ngenes', 'QC_total_UMI', 'QC_pct_mitochondrial', 'QC_scrub_doublet_scores', 'TCR_chain_composition', 'TCR_clone_ID', 'TCR_clone_count', 'TCR_clone_proportion', 'TCR_contains_unproductive', 'TCR_doublet', 'TCR_chain_TRA', 'TCR_v_gene_TRA', 'TCR_d_gene_TRA', 'TCR_j_gene_TRA', 'TCR_c_gene_TRA', 'TCR_productive_TRA', 'TCR_cdr3_TRA', 'TCR_umis_TRA', 'TCR_chain_TRA2', 'TCR_v_gene_TRA2', 'TCR_d_gene_TRA2', 'TCR_j_gene_TRA2', 'TCR_c_gene_TRA2', 'TCR_productive_TRA2', 'TCR_cdr3_TRA2', 'TCR_umis_TRA2', 'TCR_chain_TRB', 'TCR_v_gene_TRB', 'TCR_d_gene_TRB', 'TCR_j_gene_TRB', 'TCR_c_gene_TRB', 'TCR_productive_TRB', 'TCR_chain_TRB2', 'TCR_v_gene_TRB2', 'TCR_d_gene_TRB2', 'TCR_j_gene_TRB2', 'TCR_c_gene_TRB2', 'TCR_productive_TRB2', 'TCR_cdr3_TRB2', 'TCR_umis_TRB2', 'BCR_umis_HC', 'BCR_contig_qc_HC', 'BCR_functionality_HC', 'BCR_v_call_HC', 'BCR_v_score_HC', 'BCR_j_call_HC', 'BCR_j_score_HC', 'BCR_junction_aa_HC', 'BCR_total_mut_HC', 'BCR_s_mut_HC', 'BCR_r_mut_HC', 'BCR_c_gene_HC', 'BCR_clone_per_replicate_HC', 'BCR_clone_global_HC', 'BCR_clonal_abundance_HC', 'BCR_locus_LC', 'BCR_umis_LC', 'BCR_contig_qc_LC', 'BCR_functionality_LC', 'BCR_v_call_LC', 'BCR_v_score_LC', 'BCR_j_call_LC', 'BCR_j_score_LC', 'BCR_junction_aa_LC', 'BCR_total_mut_LC', 'BCR_s_mut_LC', 'BCR_r_mut_LC', 'BCR_c_gene_LC', 'COMBAT_ID', 'scRNASeq_sample_ID', 'COMBAT_participant_timepoint_ID', 'Source', 'Age', 'Sex', 'Race', 'BMI', 'Hospitalstay', 'Death28', 'Institute', 'PreExistingHeartDisease', 'PreExistingLungDisease', 'PreExistingKidneyDisease', 'PreExistingDiabetes', 'PreExistingHypertension', 'PreExistingImmunocompromised', 'Smoking', 'Symptomatic', 'Requiredvasoactive', 'Respiratorysupport', 'SARSCoV2PCR', 'Outcome', 'TimeSinceOnset', 'Ethnicity', 'Tissue', 'DiseaseClassification', 'Pool_ID', 'Channel_ID', 'binary_condition'\n",
+              "    var: 'gene_ids', 'feature_types'\n",
+              "    uns: 'Institute', 'ObjectCreateDate', 'Source_colors', 'Technology', 'genome_annotation_version'\n",
+              "    obsm: 'X_umap', 'X_umap_source'\n",
+              "    layers: 'raw'"
+            ]
+          }
+        }
+      ],
+      "id": "3e2b8b1b"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "adata = patpy.pp.basic.get_helical_embedding(adata, model=\"uce\", device=\"cuda\")"
+      ],
+      "execution_count": 32,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "2026-03-18 18:53:45,955 - INFO:helical.models.uce.model:Model finished initializing.\n",
+            "2026-03-18 18:53:45,957 - INFO:helical.models.uce.model:'4layer_model' model is in 'eval' mode, on device 'cuda'.\n",
+            "2026-03-18 18:53:45,959 - INFO:helical.models.uce.model:Processing data for UCE.\n",
+            "2026-03-18 18:53:52,059 - INFO:helical.models.uce.gene_embeddings:Finished loading gene embeddings for 'human' from /home/icb/vladimir.shitov/.cache/helical/models/uce/protein_embeddings for model 'ESM2'.\n",
+            "2026-03-18 18:53:52,310 - INFO:helical.models.uce.gene_embeddings:Filtered out 1202 genes to a total of 19605 genes with embeddings.\n",
+            "2026-03-18 18:54:46,924 - INFO:helical.models.uce.uce_utils:Passed the gene expressions (with shape=(103460, 20807) and max gene count data 78359.0) to ./test_counts.npz\n",
+            "2026-03-18 18:54:52,631 - INFO:helical.models.uce.model:Successfully processed the data for UCE.\n",
+            "2026-03-18 18:54:53,273 - INFO:helical.models.uce.model:Started getting embeddings:\n",
+            "100%|██████████| 4311/4311 [58:16<00:00,  1.23it/s]  \n",
+            "2026-03-18 19:53:10,308 - INFO:helical.models.uce.model:Finished getting embeddings.\n"
+          ]
+        }
+      ],
+      "id": "5bde9912"
     },
     {
-     "data": {
-      "text/html": [
-       "
┏━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃   ┃ Name                        ┃ Type                    ┃ Params ┃ Mode  ┃ FLOPs ┃\n",
-       "┡━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ 0 │ gene2cell_encoder           │ BasicMLP                │  3.1 M │ train │     0 │\n",
-       "│ 1 │ cell2patient_aggregation    │ NonLinearAttnAggregator │  1.1 M │ train │     0 │\n",
-       "│ 2 │ patient_encoder             │ BasicMLP                │  787 K │ train │     0 │\n",
-       "│ 3 │ cell2cell_encoder           │ CellToCellIdentity      │      0 │ train │     0 │\n",
-       "│ 4 │ sample_prediction_loss_func │ CrossEntropyLossViews   │      0 │ train │     0 │\n",
-       "│ 5 │ patient_predictor           │ BasicMLP                │  1.0 K │ train │     0 │\n",
-       "└───┴─────────────────────────────┴─────────────────────────┴────────┴───────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1;35m \u001b[0m\u001b[1;35m \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mName                       \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mType                   \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mParams\u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mMode \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mFLOPs\u001b[0m\u001b[1;35m \u001b[0m┃\n",
-       "┡━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│\u001b[2m \u001b[0m\u001b[2m0\u001b[0m\u001b[2m \u001b[0m│ gene2cell_encoder           │ BasicMLP                │  3.1 M │ train │     0 │\n",
-       "│\u001b[2m \u001b[0m\u001b[2m1\u001b[0m\u001b[2m \u001b[0m│ cell2patient_aggregation    │ NonLinearAttnAggregator │  1.1 M │ train │     0 │\n",
-       "│\u001b[2m \u001b[0m\u001b[2m2\u001b[0m\u001b[2m \u001b[0m│ patient_encoder             │ BasicMLP                │  787 K │ train │     0 │\n",
-       "│\u001b[2m \u001b[0m\u001b[2m3\u001b[0m\u001b[2m \u001b[0m│ cell2cell_encoder           │ CellToCellIdentity      │      0 │ train │     0 │\n",
-       "│\u001b[2m \u001b[0m\u001b[2m4\u001b[0m\u001b[2m \u001b[0m│ sample_prediction_loss_func │ CrossEntropyLossViews   │      0 │ train │     0 │\n",
-       "│\u001b[2m \u001b[0m\u001b[2m5\u001b[0m\u001b[2m \u001b[0m│ patient_predictor           │ BasicMLP                │  1.0 K │ train │     0 │\n",
-       "└───┴─────────────────────────────┴─────────────────────────┴────────┴───────┴───────┘\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "adata.obsm[\"X_uce\"].shape"
+      ],
+      "execution_count": 33,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(103460, 1280)"
+            ]
+          }
+        }
+      ],
+      "id": "6b65975b"
     },
     {
-     "data": {
-      "text/html": [
-       "
Trainable params: 4.9 M                                                                                            \n",
-       "Non-trainable params: 0                                                                                            \n",
-       "Total params: 4.9 M                                                                                                \n",
-       "Total estimated model params size (MB): 19                                                                         \n",
-       "Modules in train mode: 20                                                                                          \n",
-       "Modules in eval mode: 0                                                                                            \n",
-       "Total FLOPs: 0                                                                                                     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[1mTrainable params\u001b[0m: 4.9 M                                                                                            \n",
-       "\u001b[1mNon-trainable params\u001b[0m: 0                                                                                            \n",
-       "\u001b[1mTotal params\u001b[0m: 4.9 M                                                                                                \n",
-       "\u001b[1mTotal estimated model params size (MB)\u001b[0m: 19                                                                         \n",
-       "\u001b[1mModules in train mode\u001b[0m: 20                                                                                          \n",
-       "\u001b[1mModules in eval mode\u001b[0m: 0                                                                                            \n",
-       "\u001b[1mTotal FLOPs\u001b[0m: 0                                                                                                     \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Now goes a bit annoying part... At teh time of writing this tutorial, `helical` requires python version <3.13. And to run PULSAR, we need python >= 3.13. So we need to save the object with UCE embeddings now, change the environment to the one containin python 3.13 and run PULSAR from there. "
+      ],
+      "id": "dc959c67"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "SLURM auto-requeueing enabled. Setting signal handlers.\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "adata.write_h5ad(\"data/combat_subsample_with_uce.h5ad\")"
+      ],
+      "execution_count": 34,
+      "outputs": [],
+      "id": "fa8d1ad9"
     },
     {
-     "data": {
-      "text/html": [
-       "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/rich/live.py:260: \n",
-       "UserWarning: install \"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/rich/live.py:260: \n",
-       "UserWarning: install \"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Load the data after switching the environment"
+      ],
+      "id": "03fde513"
     },
     {
-     "data": {
-      "text/html": [
-       "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/_\n",
-       "pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and \n",
-       "treespec.is_leaf()` instead.\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/_\n",
-       "pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and \n",
-       "treespec.is_leaf()` instead.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "adata = sc.read_h5ad(\"data/combat_subsample_with_uce.h5ad\")\n",
+        "adata.obsm[\"X_uce\"].shape"
+      ],
+      "execution_count": 30,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(103460, 1280)"
+            ]
+          }
+        }
+      ],
+      "id": "c9ad4c9f"
     },
     {
-     "data": {
-      "text/html": [
-       "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
-       "nectors/data_connector.py:434: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider \n",
-       "increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve performance.\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
-       "nectors/data_connector.py:434: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider \n",
-       "increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve performance.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "You can now run PULSAR via patpy. Before doing that, make sure to install it by running `pip install git+https://github.com/snap-stanford/PULSAR`"
+      ],
+      "id": "b7e8d355"
     },
     {
-     "data": {
-      "text/html": [
-       "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/d\n",
-       "ata.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 10. To avoid \n",
-       "any miscalculations, use `self.log(..., batch_size=batch_size)`.\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/d\n",
-       "ata.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 10. To avoid \n",
-       "any miscalculations, use `self.log(..., batch_size=batch_size)`.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pulsar = patpy.tl.supervised.PULSAR(\n",
+        "    sample_key=sample_id_col,\n",
+        "    label_keys=[\"binary_condition\"],\n",
+        "    tasks=[\"classification\"]\n",
+        ")"
+      ],
+      "execution_count": 31,
+      "outputs": [],
+      "id": "35720eab"
     },
     {
-     "data": {
-      "text/html": [
-       "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
-       "nectors/data_connector.py:434: The 'train_dataloader' does not have many workers which may be a bottleneck. \n",
-       "Consider increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve \n",
-       "performance.\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
-       "nectors/data_connector.py:434: The 'train_dataloader' does not have many workers which may be a bottleneck. \n",
-       "Consider increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve \n",
-       "performance.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pulsar.prepare_anndata(adata)"
+      ],
+      "execution_count": 32,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "Loading weights: 100%|██████████| 203/203 [00:01<00:00, 157.49it/s]\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "Resample 0 time\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "11it [00:02,  4.66it/s]\n"
+          ]
+        }
+      ],
+      "id": "2ea14d34"
     },
     {
-     "data": {
-      "text/html": [
-       "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/d\n",
-       "ata.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid \n",
-       "any miscalculations, use `self.log(..., batch_size=batch_size)`.\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/d\n",
-       "ata.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid \n",
-       "any miscalculations, use `self.log(..., batch_size=batch_size)`.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pulsar_distances = pulsar.calculate_distance_matrix()"
+      ],
+      "execution_count": 33,
+      "outputs": [],
+      "id": "c5fa92aa"
     },
     {
-     "data": {
-      "text/html": [
-       "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/d\n",
-       "ata.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 11. To avoid \n",
-       "any miscalculations, use `self.log(..., batch_size=batch_size)`.\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/d\n",
-       "ata.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 11. To avoid \n",
-       "any miscalculations, use `self.log(..., batch_size=batch_size)`.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pulsar.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols, continuous_palette=\"tab10\");"
+      ],
+      "execution_count": 34,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
+            "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
+            "  warn(\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "iVBORw0KGgoAAAANSUhEUgAACU8AAAHACAYAAACY6Au6AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3XmcjeX/x/HXWeac2fd9LDMYW0VUJEIhVKK+bVIoUaFEtCmklEK0Sd9k+ybt5NeipBAhu0J22WYYM2Zfzsw55/fHZDLNYjAzZ8a8n4+Hx4PrupfPOWbu67rv+3Ndl8HpdDoRERERERERERERERERERERERGpYYyuDkBERERERERERERERERERERERMQVlDwlIiIiIiIiIiIiIiIiIiIiIiI1kpKnRERERERERERERERERERERESkRlLylIiIiIiIiIiIiIiIiIiIiIiI1EhKnhIRERERERERERERERERERERkRpJyVMiIiIiIiIiIiIiIiIiIiIiIlIjKXlKRERERERERERERERERERERERqJCVPiYiIiIiIiIiIiIiIiIiIiIhIjWR2dQAXwuFwcOzYMXx8fDAYDK4OR0SkynI6naSlpREZGYnRWLPzZtV2iIiUjdqOfGo3RETKRu3GP9R2iIiUjdqOfGo3RETKTm1HPrUdIiJlcy7tRrVOnjp27Bi1a9d2dRgiItXG4cOHqVWrlqvDcCm1HSIi56amtx1qN0REzk1NbzdAbYeIyLmq6W2H2g0RkXOntkNth4jIuShLu1Gtk6d8fHyA/A/q6+vr4mhERKqu1NRUateuXXDdrMnUdoiIlI3ajnxqN0REykbtxj/UdoiIlI3ajnxqN0REyk5tRz61HSIiZXMu7Ua1Tp46PQ2hr6+vGgYRkTLQ9K1qO0REzlVNbzvUboiInJua3m6A2g4RkXNV09sOtRsiIudObYfaDhGRc1GWdqPmLgYrIiIiIiIiIiIiIiIiIiIiIiI1mpKnRERERERERERERERERERERESkRlLylIiIiIiIiIiIiIiIiIiIiIiI1EhmVwcgIiJS1djtdnJzc10dRpVkMpkwm801fk15ERERqRnULyzMzc0Nk8nk6jBEpBpyOp3k5eVht9tdHYpUIj1DKD/6HXIt/SyLiIhUL+o71Rzl2U9T8pSIiMgZ0tPTOXLkCE6n09WhVFmenp5ERERgsVhcHYqIiIhIhVG/sCiDwUCtWrXw9vZ2dSgiUo3YbDbi4uLIzMx0dSjiAnqGcOH0O1Q16GdZRESkelDfqeYpr36akqdERET+ZrfbOXLkCJ6enoSEhGg02b84nU5sNhsJCQkcOHCA2NhYjEatACwiIiIXH/ULi3I6nSQkJHDkyBFiY2M1A5WIlInD4eDAgQOYTCYiIyOxWCy6ptYQeoZQPvQ75Hr6WRYREak+1HeqWcq7n6bkKRERkb/l5ubidDoJCQnBw8PD1eFUSR4eHri5ufHXX39hs9lwd3d3dUgiIiIi5U79wuKFhIRw8OBBcnNzlTwlImVis9lwOBzUrl0bT09PV4cjlUzPEC6cfoeqBv0si4iIVA/qO9U85dlPU3q8iIjIvygLvXQaXSciIiI1hfqFhen7EJHzpfvImkv/9+VD36Pr6f9ARESk+lC7XbOU1/+3fmpERERERERERERERERERERERKRGUvKUiIiIiIiIiIiIiIiIiIiIiIjUSEqekotC3smTZG7YwPHJkzn53n/J2bcfe1qaq8MSEZEqKs/u4FBSJh//doiXvtnBd7/HcSw5y9VhiYhIVZaRCMe2wLKX4KcJELcNMpNcHZXUUHPmzMHf39/VYYjIWRw9lcXX247x0jc7+GzDYQ4nZWJ3OF0dllQCXadFioqOjmbatGmuDqNKs6emkbN3LwnvzuD45Mlkbt5M3slEV4clIiJVWeox2LMUvn8O1s6ApP2Qm+3qqKqsjh078vjjj5dYr/5K6f79/ZXl+xo3bhyXX355hcZVXpQ8JdVe7okTHHn8cf669z6SZn5AwtSp7L/pJpK//FIJVCJS7g4fPswDDzxAZGQkFouFunXrMmzYMBITy/4g4+DBgxgMBrZs2VJxgUqJ7A4nWw4nc8PUFTz95e/M/OUAj8zfRM+3V7M/Id3V4YmISFWUngA/jIb/doBfJsHK1+C9a2HZeMg46eroxAX69++PwWDAYDDg5uZGWFgYXbp0YdasWTgcjnI91/k+uHv//fe59tprCQgIICAggM6dO/Pbb78V2iY9PZ2hQ4dSq1YtPDw8aNq0KTNmzCinyEVqtj3H0+jx9iqGfrSZmb8cYNTn2+g6bSW/H03B6VQClav179+fXr16lcuxirtO33XXXezevbvg3+f7wmD58uUYDAaSk5MvLEiRMjizf2OxWGjQoAHjx48nLy+v0mP59+9VdHR0QWweHh5ER0dz55138tNPP1V6bBXFnprKqQUfsf/mHpx84w2SZn7AX73v4dioUeQmJLg6PBERqYqSD8Gcm2D+7bDmLVjyFLx9Jez/WQlU52n9+vUMGjTI1WFUG//+vgwGA4sWLSq0zciRI1m2bFklR3Z+lDwlLue027EdPUbaTz+T9OF8MjdtIq+MNwNOu52UhYvI2rCxSN2JVyaSeyyuvMMVkRps//79XHnllezZs4cFCxawd+9eZsyYwbJly2jTpg1JSZp9otJknYKEXbBhNmyeD4n7IKdsCbPHU7N5cN4GsnMLv9hMSM/hic+2kpRhq4iIRUTExeJSsli99yRzVh9g1Z4E4s5lxsEj62HrgqLlG2fnz0AlNVK3bt2Ii4vj4MGDfPfdd1x33XUMGzaMm2++2SUvGf9t+fLl9O7dm59//pk1a9ZQu3ZtbrjhBo4ePVqwzYgRI1iyZAkffvghO3fu5PHHH2fo0KEsXrzYhZGLVA0ZOXkcPJnB5xsOM3/tX+w+nkZyZtnuFRLTc3h0weYi9xaZNjsD527geKpeZFzsPDw8CA0NdXUYIufsdP9mz549PPHEE4wbN45Jkya5OiwAxo8fT1xcHLt27WLevHn4+/vTuXNnJkyY4OrQCpzIyWV9SgYfHEng+5MpHM7OwV7GhFnbkSMkTJ1WpDxjzRrSlixR4q2IyMUoNxtOHYTfv4Df3s+f8bysg/RsGbB0bP5MU2dy2OHT+yA9vryjrRFCQkLw9PSs0HPYbBfPO6iyfF/e3t4EBQVVUkQXRslT4lJOh4PsP/7gQM+eHBk8mOMvvcRf9/Th0IAB5B47dtb98xITOfXhhyXWpyz+qjzDFZEabsiQIVgsFn744Qc6dOhAnTp16N69Oz/++CNHjx5l9OjRQPGZ1f7+/syZMweAmJgYAFq0aIHBYKBjx44F282aNYtLLrkEq9VKREQEQ4cOLag7dOgQPXv2xNvbG19fX+68806OHz9eUH96JOusWbOoU6cO3t7eDB48GLvdzmuvvUZ4eDihoaFFHiolJyfz4IMPEhISgq+vL9dffz1bt24tx2+unGWchJ9egndawdePw1eD4e0rYNM8yE456+5HT2WRnJlbbN3mQ8lKnhIRuQjtO5HOre/8Sp+Z6xj3fzu494Pf6DV9NftOlGHGwawU+PXNkuvXvAU5mrmwJrJarYSHhxMVFUXLli159tln+eqrr/juu+8K+n1n62ft27ePnj17EhYWhre3N1dddRU//vhjQX3Hjh3566+/GD58eMFsC2f6/vvvadKkCd7e3gUvO0+bP38+gwcP5vLLL6dx48bMnDkTh8NRaLTfr7/+Sr9+/ejYsSPR0dEMGjSI5s2bF5mhSqSmSc3K5ZMNh7luynJGfr6N0Yv+4IapK5n0/S4S03POun9iho0/44sf3JGQnsPx1LMfQypPx44deeyxx3jyyScJDAwkPDyccePGFdQ7nU7GjRtHnTp1sFqtREZG8thjjxXsW9x1+sxl++bMmcMLL7zA1q1bC7aZM2dOsbNSJycnYzAYWL58OQcPHuS6664DICAgAIPBQP/+/QFwOBy88sorxMTE4OHhQfPmzfn8888r/LuSi9/p/k3dunV55JFH6Ny5M4sXL+bUqVP07duXgIAAPD096d69O3v27Cm07xdffFHwTCs6OpopU6aUa2w+Pj6Eh4dTp04d2rdvz3//+1+ef/55xowZw65du8r1XOfjSLaNu7buo8emPYzec5R+vx/gut92sTU186wJVE6nk+RPPyuxPmnuPOwnNeOtiMhFJTcL9v+UP1PUFw/AtyPzZzz/8iFIK0PiU8ZJ2FnCe3B7LhzZUL7xXkTy8vIYOnQofn5+BAcH8/zzzxckKf979kuDwcDMmTO59dZb8fT0JDY2ttCAM7vdzoABAwr65Y0aNeKNN94odL7Ts95OmDCByMhIGjVqxPjx47n00kuLxHb55Zfz/PPPl+lzlMf7xP/9739ER0fj5+fH3XffTdoZq3plZGTQt29fvL29iYiIKLZvd+b3FR0dDcCtt96KwWAo+Pe/Z+F1OByMHz+eWrVqYbVaufzyy1myZElB/en7pC+//JLrrrsOT09Pmjdvzpo1a8r0vVwIJU+JS+XGx3No0EM40gu/bMjZvYfjr0zEnpFRqDwlJ4WDKQdZF7eOnYk7SXKzYfDwKPH4eQm6oRCR8pGUlMT333/P4MGD8fjXdSc8PJw+ffrwySeflGkU2OmXUT/++CNxcXF8+eWXALz77rsMGTKEQYMG8fvvv7N48WIaNGgA5HcmevbsSVJSEitWrGDp0qXs37+fu+66q9Cx9+3bx3fffceSJUtYsGABH3zwATfddBNHjhxhxYoVvPrqqzz33HOsW7euYJ877riDEydO8N1337Fx40ZatmxJp06dqu5MWofWwPqZhcucTvj+2SKjLBxOB8czjvPHyT/4Le43DqcdxmLJ5V/vHQux5ZXvUjsiIuJaCWk5PDJ/I/H/muXjeGoOD324kZNphV9gp2fn8ldiBmv2nWTr4WTisgw4PINLPkFWcv5DKRHg+uuvp3nz5gX9u7P1s9LT07nxxhtZtmwZmzdvplu3bvTo0YNDhw4B8OWXX1KrVq2CmRbOTI7KzMxk8uTJ/O9//2PlypUcOnSIkSNHlhhbZmYmubm5BAYGFpRdc801LF68mKNHj+J0Ovn555/ZvXs3N9xwQ0V8PSLVxl+JGYz/vx38+/Zu/rpDrD9Y9D7pRGo224+l8Ovek+xLSMdkMGAxlfzYNdPm+tnppLC5c+fi5eXFunXreO211xg/fjxLly4F8hNCpk6dynvvvceePXtYtGgRl112GVD6dfq0u+66iyeeeIJLLrmkYJt/38sXp3bt2nzxxRcA7Nq1i7i4uIIXMa+88grz5s1jxowZbN++neHDh3PvvfeyYsWK8vpKRID8WdRsNhv9+/dnw4YNLF68mDVr1uB0OrnxxhvJzc3vB2/cuJE777yTu+++m99//51x48bx/PPPFySUV5Rhw4bhdDr56ivXDqJOz7Mzds9RdmYUvudItzvovW0/cTmF7xdyc3M5deoUBw8e5PDhw6QkJ2P4O+GyOPbUVJx2e0WELiIirpIWB5/cW/SZ0r4fYeMc+Pd1P+MknNgJ+1fAiR35M0xZfEo+fmZiuYd8sZg7dy5ms5nffvuNN954g9dff52ZM2eWuP0LL7zAnXfeybZt27jxxhvp06dPwXMdh8NBrVq1+Oyzz9ixYwdjxozh2Wef5dNPPy10jGXLlrFr1y6WLl3K119/zQMPPMDOnTtZv359wTabN29m27Zt3H///Wf9DOX1PnHRokV8/fXXfP3116xYsYKJEycW1I8aNYoVK1bw1Vdf8cMPP7B8+XI2bdpUYkynP8vs2bOJi4sr9NnO9MYbbzBlyhQmT57Mtm3b6Nq1K7fcckuRxPzRo0czcuRItmzZQsOGDendu3eFz/RurtCji5yF7eBBHCnFzxKStmwZoYmJmLy8AEjITGDibxP54a8fCrap41OHaTMm4DbwaXLPWHrgNJ8bupRbrFm5Wdiddrwt3uV2TBGpPvbs2YPT6aRJkybF1jdp0oRTp06RUIZlR0NCQgAICgoiPDy8oPyll17iiSeeYNiwYQVlV111FZDfsfr99985cOAAtWvXBmDevHlccsklrF+/vmA7h8PBrFmz8PHxoWnTplx33XXs2rWLb7/9FqPRSKNGjXj11Vf5+eefad26NatWreK3337jxIkTWK1WACZPnsyiRYv4/PPPq97azplJ8MvrJdevnQG3vAVmC3aHnR2JO3j0p0dJzM6/UTAajPRu1JsXb+vBc18cLLK7r4cZf0+3cgnVabfjyMzE4GbB6G4tl2OKiMi5S8rIYffx4meG2nsincSMHIJ98q/Tiek5vLt8H7NWH8Dx9wvzYG8L/73rZZqlHcd8tJjZeBrfBO6+5RJrVm4euXlOvKxmTMZSMn2lSmvcuDHbtm0rUz+refPmNG/evGDfF198kYULF7J48WKGDh1KYGAgJpOpYKaFM+Xm5jJjxgzq168PwNChQxk/fnyJcT311FNERkbSuXPngrK33nqLQYMGUatWLcxmM0ajkffff5/27duX51ciUq3k2h3M+fVgifXTl++jdUwQAV4WIH92wwfnbeDAyX8GAN7QNIw3e7fg0QWbyLUXzsAyGiDSv+SBgOfC6XSSnpOH2WjEw2Iql2PWVM2aNWPs2LEAxMbG8vbbb7Ns2TK6dOnCoUOHCA8Pp3Pnzri5uVGnTh1atWoFUOp1+jQPDw+8vb0xm80lblMck8lUkPAaGhpaMJNVTk4OL7/8Mj/++CNt2rQBoF69eqxatYr33nuPDh06nO/XIFLA6XSybNkyvv/+e7p3786iRYtYvXo111xzDZA/w2Xt2rVZtGgRd9xxB6+//jqdOnUqmCmhYcOG7Nixg0mTJhXMmFYRAgMDCQ0N5eDBgxV2jrJIzM3ju5PFv+dIybOzLzObWu757UZWVha///47P/zwQ8ELQKvVSq+bbsLz0CEyv/22yDG82rTB6FPKC/JzkJdrIy/XhpvVHZNJrwhFRFxm9/f5CVDFWfsutOwLvpH5/04+DJ/fD0fOSEaJugLunAuf9i1+RY7arcsv1py/ZyOylk9b5Gq1a9dm6tSpGAwGGjVqxO+//87UqVMZOHBgsdv379+f3r17A/Dyyy/z5ptv8ttvv9GtWzfc3Nx44YUXCraNiYlhzZo1fPrpp9x5550F5V5eXsycOROLxVJQ1rVrV2bPnl3wfm/27Nl06NCBevXqnfUzlNf7xDlz5uDzdx/jvvvuY9myZUyYMIH09HQ++OADPvzwQzp16gTkJ53VqlWrxJhOv/v09/cv9b5n8uTJPPXUU9x9990ABe8sp02bxjvvvFOw3ciRI7npppuA/AS2Sy65hL1799K4ceOzfj/nSzNPiUvZT5aS9epw4Px7zc+cvBze3/Z+ocQpgENph3hk49MYRz9WZHdLdDQel152wTEmZiXyy5FfGL58OEOWDeHjPz8mLqPoKDIRqRnKMrPU+Thx4gTHjh0r6IT8286dO6ldu3ZBRwegadOm+Pv7s3PnzoKy6Ojogo4OQFhYGE2bNsVoNBYqO3HiBABbt24lPT2doKAgvL29C/4cOHCAffv2lffHvHB2G2ScKLk+7Rg48kdqxGfEM+CHAQWJU5A/E9X8P+eTa91Cyzr+RXZ/ulsTwnwuLNHJ6XRiO3yYk++9x+FBgzj65JNkbtpEXgnJwiIiUrGycksfoZ1py693Op18vz2emav+SZwCOJluo8+8HRxrP6nozp6BcNkdYLywF9bJmTY2HExi+Mdb6T97PdN/3svhpMwK63dIxXI6nRgMhjL1s9LT0xk5ciRNmjTB398fb29vdu7cWTDzVGk8PT0LEqcAIiIiCvp4/zZx4kQ+/vhjFi5ciLu7e0H5W2+9xdq1a1m8eDEbN25kypQpDBkypNDSgSI1jS3PQVxKdon1J9NysNnzZ6uNT8mm76zfCiVOAfyw4zg/7zrBLc0ji+zf75pogrwsRcrP1dFTWfxv7V/cP3s9D8/fyIpdJ4rMpihl16xZs0L/PvOaescdd5CVlUW9evUYOHAgCxcurPARz6XZu3cvmZmZdOnSpVD7Mm/evKp5Hy/Vytdff423tzfu7u50796du+66i/79+2M2m2nd+p+XsEFBQTRq1KjgmdTOnTtp27ZtoWO1bduWPXv2YK/gGZNO971cKdvhoLR5zBPOmHHw+PHjfPvtt4WuIzk5OXy6cCFu9/fH4FZ4UJ/BYiH40aEFg8zPly0rixMH9/Pj+++w8JVx/PLhbJKOHcHuwuuZiEiNllzKfX928j+JVZlJsPDhwolTAEc3ws+vQJuhRXan3nXgV3KSS5mlxsHvn8OC3vl//vgyf8asau7qq68u1Hdo06ZNqX2WM+8VvLy88PX1LfT85Z133uGKK64gJCQEb29v/vvf/xZ5rnPZZZcVSpwCGDhwIAsWLCA7OxubzcZHH33EAw88cNb4K+p94pn3QPv27cNmsxXq/wUGBtKoUaOzxlea1NRUjh07Vmy/8czYoPD3HhERAVDic6/yorRycSlrbIMS60z+/hj/viE4mXWSL/Z8Uex2xzOPk3h1CKHt25O5ciUGqxW/224leOBA3MLDLii+xKxEJv42kSUH/1lnc9OJTczZPodZXWcR6V30IZiIXJwaNGiAwWBg586d3HrrrUXqd+7cSUBAACEhIRgMhiIvO09PY16Sfy8FeL7c/v2AxWAotszhyH+kk56eTkREBMuXLy9yLP9Spgt3Gasv1GkLv39SfH39TmDO/y7Xx68nKy+r2M3+9+cHTLplFg/NyeRkuo3oIE+e6t6YNvWCMJWyvEZZ2Pbv52Dve3CkphaUpf/wA8GPDiWwb19M5TRSUEREyibA04LJaMDuKJqIZDIaCPz7BfaJtBzeXLa32GNk5dr59ZQfdVo/Ar+9BwYDNLkFrn8eAupeUHxpWbnMXn2QN5b9MzX1pkOneH/Vfr585BoahKrdqG527txJTExMmfpZI0eOZOnSpUyePJkGDRrg4eHB7bffju3vgUSlKa6PV1zC3eTJk5k4cSI//vhjoQdPWVlZPPvssyxcuLBgJF+zZs3YsmULkydPLjRDlUhN4mkx0aFhCL/uK37A31UxgfhY8x+pHjmVydHk4u85Fm46yhePXMNvB5M4nJRFqI+Vodc14MZmEXi7X9hst0dOZXL3f9dy5NQ/516xK4FbmkcytkdTgrw18+25Ku2+uXbt2uzatYsff/yRpUuXMnjwYCZNmsSKFSuK7HcuTg9yOvPafbZnB5B/Hw/wzTffEBUVVaju9EyHIufruuuu491338VisRAZGYnZbGbx4sWuDqtEiYmJJCQkEBMT49I4fEwmAt1MJJUwcKOxV37yenZ2drF9Q8i/Fmz+6y9aP/MMJydOxGmz4XlNG8KefBJr3Qu758jLtbF/429889Y/A0KO7f6TLT98wx3PTyCq8SUXdHwRETkP9a6DtdOLrwu/DNz+fmeUcRL+WlX8dofXQvdXYediiP8d3P2g9cNw5QPgFXxh8aUey19W8OjGf8oO/gJRV8Fd/wPfiAs7fjVS2r3Cxx9/zMiRI5kyZQpt2rTBx8eHSZMmsW7dukL7eBWTBN2jRw+sVisLFy7EYrGQm5vL7bffftZ4KvJ94unPVRWcGd/pZLeKjk/JU+JS5rAwPNtcTeaatUXqQh4fhjk0FIBsezY2R8kPj+NsCbSYPAlnejoYDJgCAzGWw8OCv1L/KpQ4ddrR9KMs+HMBj7V4DDdT+SzvJCJVW1BQEF26dGH69OkMHz68UOckPj6e+fPn07dvXwwGAyEhIcTF/ZN9v2fPHjIzMwv+fTq7/Mwsdh8fH6Kjo1m2bBnXXXddkfM3adKEw4cPc/jw4YJs8R07dpCcnEzTpk3P+3O1bNmS+Ph4zGYz0dHR532cSmPxhGtHwI6F+bNQnckjAC65Ff5+AL0neU8xB8iXkJVAuJ8bXz96LXkOB1aziZALnHEKwJ6aSvyECYUSp047+dbb+N54o5KnREQqWbC3lT6t6zBvzV9F6u5pXYfgv18w59mdxKeWPNPInycyodsYaDMkP3nKIwAsFzb6G+B4Wk6hxKnTUrPyeOH/dvDOPS3x9dA9R3Xx008/8fvvvzN8+HBq1ap11n7W6tWr6d+/f0Fyfnp6epFlZywWy3nP2PDaa68xYcIEvv/+e6688spCdbm5ueTm5haaoRTyl4mqSg/LRCqbwWDgxssimL58HylZhRNZ3EwGhlzXAM+/k6dKSpwCsNkdWMxGvnj4Gmx2B25GI6G+1gueHcWWZ2f26gOFEqdOW7z1WP7MVkqeKnceHh706NGDHj16MGTIEBo3bszvv/9Oy5Yty3SdLm6b08taxMXF0aJFCwC2bNlSZD8o/PygadOmWK1WDh06pCX6pNx5eXnRoEHhAc9NmjQhLy+PdevWFSzbl5iYyK5duwqeSTVp0oTVq1cX2m/16tU0bNgQk6nilhV94403MBqN9OrVq8LOURZhVjeejongyd1HitS19fci3Jrfn8/NzeXUqVMlHifh5Em877gDv+s6gtOJ0dsbk++FLxGeceoU37/3ZpFye14e373zOnePn4R3QOAFn0dERM5B+KUQWA+S9het6/ryP8lPOUXfNRTiyIX7FkJuVv7M6F5hUB7Lsu5fXjhx6rSj6+HASmh+14Wfw0X+ndi0du1aYmNjz6vPcnpZ48GDBxeUlXU2WLPZTL9+/Zg9ezYWi4W77767TIlRlfE+sX79+ri5ubFu3Trq1KkDwKlTp9i9e3ep9yBubm6l3hv5+voSGRnJ6tWrCx1n9erVBUuju5KW7ROXMgcGEjlxIv739Mbwd7KTOSSEiJdexLdbNwx/X6Q8zB54mj1LPE5dn7qYfX1xi4zELSKiXBKnnE5nibNdAXy19yuSspMu+DwiUn28/fbb5OTk0LVrV1auXMnhw4dZsmQJXbp0ISoqigkTJgBw/fXX8/bbb7N582Y2bNjAww8/XChDOjQ0FA8PD5YsWcLx48dJ+Xs5t3HjxjFlyhTefPNN9uzZw6ZNm3jrrbcA6Ny5M5dddhl9+vRh06ZN/Pbbb/Tt25cOHToUeRF2Ljp37kybNm3o1asXP/zwAwcPHuTXX39l9OjRbNiw4QK+rQoUWA8eWAIRzf8pi74W7l8C/nUKipoFNytm53y1fGphMVkI93OnVoBnuSROAdhTUsj8dU2J9Rn/6pSLiEjF87KaeaxTLCO6NMTXPf/hka+7meFdGvLY9bF4/f0C3GI2Eh1U8j1Hi9r++Um8/rXzpz4vh8QpgF/3nSyxbtXekyRnnX0GInGNnJwc4uPjOXr0KJs2beLll1+mZ8+e3HzzzfTt27dM/azY2Fi+/PJLtmzZwtatW7nnnnuKJC5FR0ezcuVKjh49ysmTJf+8/Nurr77K888/z6xZs4iOjiY+Pp74+PiCGUt8fX3p0KEDo0aNYvny5Rw4cIA5c+Ywb968YmdaFalJagV48PkjbbimflBB2SWRvnz2UJtCbUV0UMltgYebCS+LiVDf/HuOMD/3cllWKikjly82HS2x/pP1Z1/2U87NnDlz+OCDD/jjjz/Yv38/H374IR4eHtT9eyaYslyno6OjOXDgAFu2bOHkyZPk5OTg4eHB1VdfzcSJE9m5cycrVqzgueeeK7Rf3bp1MRgMfP311yQkJJCeno6Pjw8jR45k+PDhzJ07l3379hU8P5g7d26Ffx9S88TGxtKzZ08GDhzIqlWr2Lp1K/feey9RUVH07NkTgCeeeIJly5bx4osvsnv3bubOncvbb7/NyJEjyy2OtLQ04uPjOXz4MCtXrmTQoEG89NJLTJgwoUjCV2UzGQzcHOLP1Ma1CbXk319YjQb6RQbxdtNogi35zwUtFgthYSWvlhEVFYWbuztuERG4RUaWS+IUQErCcfJsxS/tmnLiONlpaeVyHhEROQe+kXDfV9C0V37SE+S/+7jnM4hs8c92Hv6lH8c9ALxC8t+N+EaVT+JU5inY8EHJ9RtmQlbyhZ/HRQ4dOsSIESPYtWsXCxYs4K233mLYsGHndazY2Fg2bNjA999/z+7du3n++edZv3792Xf824MPPshPP/3EkiVLyrRk32kV/T7R29ubAQMGMGrUKH766Sf++OMP+vfvX2QA3r+dTuqKj48vMWF81KhRvPrqq3zyySfs2rWLp59+mi1btpz3/0F50sxT4nJuYWGEPfkkQQMG4LTZMHp4YA4NxXDGL1+IRwh9m/ZlxrYZRfaP8YupsOXz8hwlr/dtd1bsWu0iUvWc7gSNHTuWO++8k6SkJMLDw+nVqxdjx44lMDB/hNaUKVO4//77ufbaa4mMjOSNN95g48Z/MvTNZjNvvvkm48ePZ8yYMVx77bUsX76cfv36kZ2dzdSpUxk5ciTBwcEFU3QaDAa++uorHn30Udq3b4/RaKRbt24FnaHzZTAY+Pbbbxk9ejT3338/CQkJhIeH0759+1If5riU2QJRV8C9X0J2ChiM+bN//OsmollIMwKsAZzKKdpBG9ZiGCGeIeUfWzFL5RSSp7ZDRMQVgr2tPNKxPrdfUYusXDvubiZCfay4nbFUa4iPlSe7NmbwR5uK7O/v6caV0QEVElueveS2w+k8e9MirrNkyRIiIiIwm80EBATQvHlz3nzzTfr161fwMOls/azXX3+dBx54gGuuuYbg4GCeeuopUv81g+X48eN56KGHqF+/Pjk5OcUuzVecd999F5vNVmTK97FjxzJu3Dggf3r5Z555hj59+pCUlETdunWZMGECDz/88AV+OyLVm8FgIDbUh3f7tCQ5KxeHMz/x9t8zOkX6u9MwzJvdx9OLHGNAu2hCfct/BignTuyltB2ltStyfvz9/Zk4cSIjRozAbrdz2WWX8X//938EBeUn15XlOv2f//yHL7/8kuuuu47k5GRmz55N//79mTVrFgMGDOCKK66gUaNGvPbaa9xwww0F+0VFRfHCCy/w9NNPc//999O3b1/mzJnDiy++SEhICK+88gr79+/H39+fli1b8uyzz1ba9yI1y+zZsxk2bBg333wzNpuN9u3b8+233xYMFmzZsiWffvopY8aM4cUXXyQiIoLx48fTv3//cothzJgxjBkzBovFQnh4OFdffXWJMy64QqDFzF3hgXQI8CHT4cBqNBLiZsb9jHsOq9VKhw4d2LNnT5FrhclkomXLlhUyU9fZ+o9Op2YdFRFxiYA60PMd6PIC2PPA6gM+/3ov4xkCTXrAzv8run+jmy58eb5iOcFRyrsMh71aP7Dq27cvWVlZtGrVCpPJxLBhwxg0aNB5Heuhhx5i8+bN3HXXXRgMBnr37s3gwYP57rvvyrR/bGws11xzDUlJSbRu3brM562M94mTJk0iPT2dHj164OPjwxNPPFEwGURJpkyZwogRI3j//feJiooqMrs6wGOPPUZKSgpPPPEEJ06coGnTpixevJjY2Nhziq8iGJxlfepWBaWmpuLn50dKSgq+5ZSBL1VXYlYic7bPYf7O+eQ68qdNvzLsSl5q+xJRPlEVcs61x9YycOnAYuvubnQ3I68cidWsqdCl6tP18h+lfRfZ2dkcOHCAmJgY3N3dXRRh1Vedvqd9yft4cuWT7D61GwBPsydDWwylR70e+Lv7l/v57MnJHH7kEbI2bym2vt7X/4fVxaMhRcpKbUc+fQ81S3KmjUVbjjJpyS4ybPkPiRqGefN275Y0DK+YZVd3x6dxw7SVxdZdFR3A+32vxN/TUiHnlpJVp/5OZSrte9H18h/6LmqWw0mZjPp8K2v3589ObjEZ6dumLg91qF9uM9yeKTvXzvj/28FHvxU/w9SCga1pU78iXqCcH11PRW3H2elZVfVQXv8XOTk57N+/n6+//pqMjAwgP0nz1ltvpVatWhWSPJVyIp7Zwx/Gnld0sLh3YBD3THgdn8CgYvYUqXrUduTT91DDpMbB96Nhx0JwOvIHlDftBV0n5M9gVd6cTlg/E74tYQbJm6fClWWfJakyVbe+k9PpJDY2lsGDBzNixAhXh1Ntldc9h2aekmojyCOIIZcP4a5Gd5FqS8XD7EGgNRA/d78KO2cD/wZcHXE1a+PWFo7FPYh+l/RT4pSISBVX378+73d5n6ScJGx2G/5Wf0I8QnAzuZ195/Ng8vcnfMwYDva+B2d2dqG6gD73YA6pgNmuRESk3Ph7WujTug6dm4RxKjMXq8lIoLeFYO+K6/eH+lq59+q6fLj2r0Ll7m5GXrjlUiVOiYhUcbUDPZlx7xUkZtjItNnx93Aj2MeCh1vFPHZ1dzPxcId6fL89nsSMwku7to8NpkGod4WcV0REyofVaqVRo0ZERkaSmZmJwWDA09OzQpMfPP0C6HDfg/w0u/DKHgaDkRseegzvgMAKO7eIiJQD3wi45Q24fjTkpOXPUOUVCu4VM9APgwEa3Qi/vQcn9xSuC24IsV0r5rw1TEJCAh9//DHx8fHcf//9rg5HUPKUVDPuZndq+dQ663aJWYnkOnKxGq0EeJRteQ2n00mqLRWjwYiPJb+xCfYM5uV2L7Mmbg3zd8wnKy+LLnW7cFvD24jyrpjZrkREpHwFegQS6FH6QyCb3cap7Pzl/fysfribyzYiwZGTgyMrC6OHB0Zr/ot1a2wsMQsXkjRnDpnr1mEKDCRo4EA8mjfD5FdxCb8iIlI+3EwmagV4UusstxGnMmxk59oxm4znNLNIWnYudoezICnK39PC8M6xXNcohOnL95GUYaNt/SAGtIuhdqDnhXwUERGpJP6elrMmu9rtDk6m23A4nfi4u+HtXrbHsrl2OxnZdixuRjwt+fvUCfJi0ZC2fLz+MEv+iMPDYuKBtjG0axBMiE/VH10tIjXb/Pnzeeihh4qtq1u3Ltu3b6/kiCqf0WjEz88Pv7M8J0rNSSUzLxOjwUiwRzBGg7HU7U+zZefhsDuxeJgxGg24Wa00ubYjIdExrPvyE5KPxxMaU5/Wt95JQHgkBoOhPD6WiIhUJKtP/p/SOJ2Qfjx/WT2LJ5TxHTl2O+SkgskNrH8PxvCLgvu+gh2LYPP/AAO0uA+a9syvkwsWGhpKcHAw//3vfwkIKPx/5e1d8qCY7777jmuvvbaiw6uRlDwlF5VT2af4Lf433tnyDofTDlPPrx7DWg7j8pDL8bWWPHIjPiOe5YeXs3jfYtyMbvRu3Jsrwq4gxDOEEM8Qbql/C+2j2mN32vGz+mE26ldHRORicSz9GLO3z+brfV9jd9rpGt2VQZcNorZv7RL3cWRlYTt0iMRZs7Ht2YOlUUOC+t+PW53amDw8sMZEE/bsMzjS0jBYLJg0dbKIyEUjLTuXP46lMvHbneyISyXCz4PHrm/AdY1DCSplhqrjqdn8diCJeWsOkmd38p8ratGpSSgRfh4EeVvp1CSMK6MDyc1z4ONhxmou/+U6RETENeJTsvj4t8P8b+1fpOfk0aFhCCO7NiImyAs3c/EvwnPzHBxJzmLemoOsP5hElJ8HD3WoT/1QL/w8LNQO9GR451juvyYak9FAgJdmKhSR6uGWW26hdevWxda5uVXMTOHVTY49hwPJB3h94+tsPL4RP6sf9za5lx71exDiWfKs5plpNhIOpbHlx0PkZORR7/IQGrYKwzfYA3cvb2o1voSQx58mz5aDxd0Dt2qwnJGIiJRR+gnY8RWsfiM/gSrqSugyHsKagsWr5P1O/QVbP4bd34G7P1zzKEQ0B6/g/CSpqwdDszsBA3gG5c9KJeXC6XSWWLdly5YS66KilLxWUZQBIheNrLwsPtn1Ce9seaegbPep3QxZNoTnrn6O2xrcVuwyTfEZ8Qz4fgCH0g4VlG06sYlW4a2YeO3EgpsRf3f/Cv8MIiJSueLS4+j7XV+OZx4vKFu0dxErDq9gwU0LiPIp2gl15uWR8esajgwdmj+SA8jesYPUrxZT6+238G7fHoPZjNFqLZiNSkRELg4Oh5OVu08y5KNNBWWHkjIZ+fk2+l1Tl5E3NMLHveg9x/HUbB5bsJl1B5IKyjYfTmbWKi/mP9iaCH8PAPw89LJIRORicyI1m4HzNvD70dSCsh92HGfF7gQWD21Ho/DiR4/vjEvljvfWkJPnAOCPo6l8v+M4Y25uyt1X1cbTasZsMhJ8DrMfiohUBT4+Pvj4VNAyQxeJ3Um76ftdX/KceQAkZCUwddNU1sStYeK1EwnyCCqyT1a6jbWL9rFzdVxBWcKhNLb9fJj/jLoCv9D8WW2tnp5YPTXDrYjIRSUzCb57GrZ/8U/ZoV9hVhe4dxHU71j8fon74IPO+fuftv9nuKI/dBoLnoH5yVJeJSfuSsVo0KCBq0Ookco2x6dINZCYlch7294rtm7qxqkkZCUUKbc77Czeu7hQ4tRpv8X/xo6kHeUep4iIVA1Op5OfDv9UKHHqtFM5p/hizxfk2fOK1OUlJHDsmWcKEqcKOBzEPTuavISi7Y2IiFwcjqdlM25x8cuIzFvzFyfTbcXWbT2cXChx6rT9JzP4assxHI6SR5qJiEj1tut4WqHEqdNy8hy89v2fpGXnFqk7mZ7DqM+3FSROnWnCtzs5mZ5TIbGKiIjrnco+xSu/vVKQOHWmtXFrOZp+tNj90pJyCiVOnZaVlsu6/ztAbk7R44mIyEUiLb5w4tRpTid8OwLSir4DwZYBy14snDh12sY5kHKk3MMUqeqUPCUXjYSsBPIcxd8AZORmkJyTXKT8VM4pFu5bWOIxP/nzE3Ly9EBKRORilJ6bzpIDS0qs//GvH0mxpRQpz0tMxJFa9OUHgD05mbykU+UWo4iIVC0pWbkklPDC2umEPcfTipRn2vKYv67oYI3TPt1wmMQM3XOIiFysvv296Ivs01bsSiA9u+izrOTMXHYV06YA2B1OdsQVfz8iIiLVX2ZuJr+f/L3E+tVHVxdbvm/TiRL32bfxBNkZSp4SEbloHfmt5LrEfZBT9D0HWafgz8Ul77fz/y48LpFqRslTctGwGC2l1puNxaxSqQHeIiI1ltlgxsut5LW+Pd08MRlM537gUtapFhGR6s3NWPottJe16D2HAUOp+zj/3kpERC5OvqUsyeppNWE4jyZAExaKiFy8DAZD8e8y/uZjKX7JQ2cpz6PUbIiIXORKaBuA/GX3jCXfk5TIWXQWXJGLnZKn5KIR5BFEoHtgsXW1fWoTYA0oUh7gHsAt9W4p8Zi3N7wdq9labjGKiEjV4eHmwb1N7y2x/r6m9+Hv7l+k3BQYiNGn+JsRo58f5qDi2yIREan+ArzcuCzKr9g6T4uJukGeRco9LCZ6t6pd4jH/0zKKQK/SB4KIiEj11evyqBLr7mlVhyDvom2Av6cbDUK9i93HaIBLIn3LLT4REalaAtwDuCnmphLr20W1K7a8QYvQEvep1yIEd8/zeHEuIiLVQ9QVUFLibYPO4BlUtNzdHxrdWPIxm/Qol9BEqhMlT8lFI9QzlKkdp2I1FU528jR7MrnDZEI8Q4rsYzKa6BXbi1retYrUtQxtyaXBl1ZYvCIi4npNApsU+0Dq2qhraRXeqth93EJDiXjpRYoMETcYiHhxPOaQou2NiIhcHAK9rLx+Z3MC/vXiwWw0ML1PS8J83Ivdr0WdAFrW8S9SXifQk9ta1sJk1MxTIiIXq0h/d0Z0aVikvHG4D/3aRONmKjrbbbC3ldf+0wyLqeij2ye7NiLYWwP9qptx48YRFhaGwWBg0aJF5Xrs/v3706tXr3I9poi4jofZg8GXD6aWT9F3Fs9d/RwhHsU/d/IJcqdhq7Ai5VYvM1ffUg839/OYXV1ERKoHnzC47f2i7yx8IqDbq+BezOALqzd0GpefRPVvze8Bv5IHAopcrEqe+1OkmjEajDQLbsbCngv5+dDPbE/cTovQFrSLakeEV0SJ+0V4RTCr6yyW/rWUxfsWYzFZ6N24N60jWhPqWfJoDRGRqmblypVMmjSJjRs3EhcXx8KFC8/6AHX58uWMGDGC7du3U7t2bZ577jn69+9fKfFWBUEeQTx51ZP0btybr/Z9hd1hp0f9HkT7RRPsEVzsPgazGe927Yj54nNOvj8T2969WGMbEDRwIJa6dTGY1b0SEbmYxYb58H+PtuPXfYn8uvcksWE+3HhZBJF+7riZix+fFObrzvQ+V7BqbwL/W/MXeQ4nt7WsRfdLw4n096jkTyA12TvvvMOkSZOIj4+nefPmvPXWW7RqVXzCuIiUDz8PC/2uqUvnpmF8ufEISRk2bm4WQdMoP8J9i0+6Bbi0li/fDbuWWasOsOGvU0T6u/Nwx/o0CvMpdplYqRiHDx9m7NixLFmyhJMnTxIREUGvXr0YM2YMQUHFjOAvxs6dO3nhhRdYuHAhV199NQEBRWfHF5HijRs3jkWLFrFlyxZXh1KpIr0jmdN1Dr+f/J1lh5YR5hnGzfVvJtwzHC+LV7H7ePhYaHt7LA2uCGXz0sPkZOYS0zyEpm0j8Akqub0REZGLgJsHNOwKQ36D3z+HpAMQ2wXqtAH/UpKggurDQytg41zYvQQ8/OGax/JnsvIqW19X5GKiO225qJhNZmr71KbvJX3Pab8I7wjubXovPer3wGgw4mctfikOEZGySsm0cTLdRmp2Lr4ebgR7WfDzrNgleTIyMmjevDkPPPAAt91221m3P3DgADfddBMPP/ww8+fPZ9myZTz44INERETQtWvXCo21Kgn0CCTQI5Dmoc3LvI/Rywv3pk2JfHkCjqwsjB4eGD308ltEpKaoFeDJnVd6cueVZR+FF+7nzu1X1KZzkzCczvwlmQz/HhEoNYYr+oqffPIJI0aMYMaMGbRu3Zpp06bRtWtXdu3aRWioBg6JVCQ/Dwt+Hhaa3ty0zPtYTCbqh3oz5pampGfn4e5mxMtas5dcquxr5/79+2nTpg0NGzZkwYIFxMTEsH37dkaNGsV3333H2rVrCQw8+7Lt+/btA6Bnz54X1Pbn5ubi5lazfwbkwrii/3E2HTt2ZMWKFQBYrVbq1avH0KFDGTx4cIWf+6GHHmLmzJl8/PHH3HHHHRV+vnMV5hVGmFcYnet2LvM+nr4WYpqHEBkbgMPuwOJpxlTMLIYiInIRsnhBcEO47tmy72MwQEB0/j5thoDJDdz1jrwqcVX/raYOvlPylMjfjAYjAe4a+SUiF+5YchZPfbGNX/acLChrHxvMxP80q9DZJbp370737t3LvP2MGTOIiYlhypQpADRp0oRVq1YxderUGpU8dSGUNCUiIufK38UvqMT1XNVXfP311xk4cCD3338/kN8X/Oabb5g1axZPP/10hZ1XRC6M1WzC6q2lllxx7RwyZAgWi4UffvgBj7/v++rUqUOLFi2oX78+o0ePZtiwYbRs2ZKZM2dyzz33APDpp5/Sr18/Nm7cyKeffsoLL7wAgNGYn8DgdDpxOBy89NJL/Pe//yUhIYEmTZowceJEunXrBsDBgweJiYnh448/Zvr06axbt44ZM2Zw3333MWrUKGbNmoXJZGLAgAE4nc4K+fxycXFV/6MsBg4cyPjx48nMzGTevHkMGTKEgIAAevfuXWHnzMzM5OOPP+bJJ59k1qxZVTJ56kJYPfXqT0REzoHJDbyKX4lDXMdV/beaPPhOKeciIiLlKCXTVqQzA7Byz0me/mIbKZk2F0VW1Jo1a+jcufDota5du7JmzRoXRSQiIiJycXNVX9Fms7Fx48ZCfT+j0Ujnzp3V9xORKs8V186kpCS+//57Bg8eXJA4dVp4eDh9+vThk08+oVGjRkyePJnBgwdz6NAhjhw5wsMPP8yrr75K06ZNGTlyJLNnzwYgLi6OuLg4AN544w2mTJnC5MmT2bZtG127duWWW25hz549hc719NNPM2zYMHbu3EnXrl2ZMmUKc+bMYdasWaxatYqkpCQWLlxY7p9fLi6ufFaVlpZGnz598PLyIiIigqlTp9KxY0cef/zxgm08PT0JDw+nXr16jBs3jtjYWBYvXlziMWfOnEmTJk1wd3encePGTJ8+vaDugQceoFmzZuTk5AD5faAWLVrQt2/hlSo+++wzmjZtytNPP83KlSs5fPhw+X5wERERkQvgyv7bmYPvmjZtyowZM/D09GTWrFkVds6qQslTIiIi5ehkuq1IZ+a0lXtOcjK96iRPxcfHExYWVqgsLCyM1NRUsrKyXBSViIiIyMXLVX3FkydPYrfbi+37xcfHV8g5RUTKiyuunXv27MHpdNKkSZNi65s0acKpU6dISEhg8ODBtGvXjnvvvZf+/ftz1VVX8eijjwLg7e2Nv78/kJ90FR4eDsDkyZN56qmnuPvuu2nUqBGvvvoql19+OdOmTSt0nscff5zbbruNmJgYIiIimDZtGs888wy33XYbTZo0YcaMGfj5aWkVKZ0rn1WNGDGC1atXs3jxYpYuXcovv/zCpk2bSt3Hw8MDm634mObPn8+YMWOYMGECO3fu5OWXX+b5559n7ty5ALz55ptkZGQUzKo5evRokpOTefvttwsd54MPPuDee+/Fz8+P7t27M2fOnAv/sCIiIiLlxFX9t5o++E5zd4pUgLyTJ3Gkp4PZjDkwEKOnp6tDEpFKkpqdW2p92lnqpYbKy4H0E2DPATdP8InIX29cRESkBEkZNlKzcjEaDfh7uOHr4ebqkKQM1FcUEVex2x0cT8shJ8+O1WwizMeKyVQ9xtW68tpZ1iXxZs2aRcOGDTEajWzfvh1DKfdzqampHDt2jLZt2xYqb9u2LVu3bi1UduWVVxb8PSUlhbi4OFq3bl1QZjabufLKK7V0n5TKVb9DaWlpzJ07l48++ohOnToBMHv2bCIjI4vd3m63s2DBArZt28agQYOK3Wbs2LFMmTKF2267DYCYmBh27NjBe++9R79+/fD29ubDDz+kQ4cO+Pj4MG3aNH7++Wd8fX0LjrFnzx7Wrl3Ll19+CcC9997LiBEjeO6550r93a2JsjMyyE5Pw+l0YPX0wtNXyZoiIlIKpxPS4iA3E0xW8A4Fs9XVUVVLruq/lTb47s8//6yQc1YlSp4SKUf2jAyytmzh+EsvYTtwEMxmfLt2JWTEcCxRUa4OT0Qqga976S8ufc5SX5nCw8M5fvx4obLjx4/j6+tbZFkCqUCpcbB6GmyaC7lZ+YlTncZCw67gGejq6EREpIqx2e38GZfGc4v+YNuRFAwGaNcgmHE9LqFeiJde+FRxruorBgcHYzKZiu37nZ4FRUQuXifTcvh0w2HeW7mflKxc/DzceKh9Pe68qjbB3lX/ZYYrrp0NGjTAYDCwc+dObr311iL1O3fuJCAggJCQEAC2bt1KRkYGRqORuLg4IiIiyiUOLy+vcjmO1Gyu6n/s37+f3NxcWrVqVVDm5+dHo0aNCm03ffp0Zs6cic1mw2QyMXz4cB555JEix8vIyGDfvn0MGDCAgQMHFpTn5eUVmoGtTZs2jBw5khdffJGnnnqKdu3aFTrOrFmz6Nq1K8HBwQDceOONDBgwgJ9++qkgyaumczqdnDp2lJ/mvMdfv28Bp5Ow+rF0HjCYkLoxmMx6tSgiIv+SmQS7v4dlL+QnULl5QMt+0PZx8C2fvnFNUp3eNV5MqsfwIpFqInv7dg4PeDA/cQogL4/Ub77h0AMDyP3XQ2oRuTgFe1toHxtcbF372GCCvS2VHFHJ2rRpw7JlywqVLV26lDZt2rgoohoo4yQsegTWzchPnIL8G4tFD8PO/wOH3bXxiYhIlfPXyUxuf3cN246kAPmD+n7Zc5L/zPiVI6e07G5V56q+osVi4YorrijU93M4HCxbtkx9P5GLXGZOHu8s38tr3+8iJSt/dHJKVi6vfb+L6T/vJTMnz8URnp0rrp1BQUF06dKF6dOnF1nWPj4+nvnz53PXXXdhMBhISkqif//+jB49mv79+9OnT58i+5zJ19eXyMhIVq9eXah89erVNG3atMT9/Pz8iIiIYN26dQVleXl5bNy48Tw/pdQUVf1ZVZ8+fdiyZQsHDhwgIyOD119/HaOx6Kur9PR0AN5//322bNlS8OePP/5g7dq1Bds5HA5Wr16NyWRi7969hY5ht9uZO3cu33zzDWazGbPZjKenJ0lJScyaNatiP2g1kppwggVjRvHXts35NxzA8X17+HjMKJLj41wcnYiIVDkOe/77jEUP57/fgPz3Hetm5L//yCh++Tkpmav6bzV98J2Sp0TKSV5SEicmvlpsXe5ff5G9a1clRyQiruDnaWHif5oV6dS0jw3m1f80w8+z4h5IpaenFzw4Ajhw4ABbtmzh0KFDADzzzDP07du3YPuHH36Y/fv38+STT/Lnn38yffp0Pv30U4YPH15hMcq/pMXB/p+Lr1v2AqTFV248IiJSpWXl5vHu8n3Y7I4idcmZuSz5I17L9lRxruwrjhgxgvfff5+5c+eyc+dOHnnkETIyMrj//vsr7Jwi4noJ6TnMW/NXsXXz1vxFQnpOJUd07lx17Xz77bfJycmha9eurFy5ksOHD7NkyRK6dOlCVFQUEyZMAPLvrWvXrs1zzz3H66+/jt1uZ+TIkaUee9SoUbz66qt88skn7Nq1i6effpotW7YwbNiwUvcbNmwYEydOZNGiRfz5558MHjyY5OTk8vrIcpFy1e9QvXr1cHNzY/369QVlKSkp7N69u3B8fn40aNCAqKioYpOmTgsLCyMyMpL9+/fToEGDQn9iYmIKtps0aRJ//vknK1asYMmSJcyePbug7ttvvyUtLY3NmzcXSsBasGABX375pX6fyJ91ave61WSnpxWps+flse6rT8nNqfpth4iIVKK0uPz3GcXZ//M/CVVSZq7qv9X0wXeaW1OknDizs8nesaPE+oxff8WnfftKjEhEXCXS34O3erfgZLqNtOxcfNzdCPa2VOjLMIANGzZw3XXXFfx7xIgRAPTr1485c+YQFxdXkEgFEBMTwzfffMPw4cN54403qFWrFjNnzqRr164VGqec4fj2kusyEyEnFdCyryIiki81K4+1+xNLrP951wn6tK6Dp1W3+lWZq/qKd911FwkJCYwZM4b4+Hguv/xylixZQlhYWIWeV0Rc61SmDbuj+MTaPIeTU5k26gZV/aXhXHHtjI2NZcOGDYwdO5Y777yTpKQkwsPD6dWrF2PHjiUwMJB58+bx7bffsnnz5oJZbD788EPatWvHzTffTPfu3Ys99mOPPUZKSgpPPPEEJ06coGnTpixevJjY2NhSY3riiSeIi4ujX79+GI1GHnjgAW699VZSUlIq4iuQi4grfod8fHzo168fo0aNIjAwkNDQUMaOHYvRaDzvpaZfeOEFHnvsMfz8/OjWrRs5OTls2LCBU6dOMWLECDZv3syYMWP4/PPPadu2La+//jrDhg2jQ4cO1KtXjw8++ICbbrqJ5s2bFzpu06ZNGT58OPPnz2fIkCHl8fGrrdycbA5s3lBi/ZHtf5CTmYGbteov+yoiIpUkJz3/fUZJTuyE8MsqL56LhKueH40YMYJ+/fpx5ZVX0qpVK6ZNm1ZjBt/piapIeTEaMfr64khNLbbaLULruYrUJH6eFd+B+beOHTuWOtvEnDlzit1n8+bNFRiVlMo7tOQ6gxHM7pUXi4iIVHkWk5EgbyvHUrKLrQ/zc8ds0gTT1YEr+ooAQ4cOZejQoZV+XhFxHXez6YLqqxJXXDvr1q1b7L30aX379i00wzNAq1atsNlsBf/u1atXkXt1o9HI2LFjGTt2bLHHjY6OLvb+3mw2M23aNKZNm1b2DyHyN1f8Dr3++us8/PDD3Hzzzfj6+vLkk09y+PBh3N3P73nHgw8+iKenJ5MmTWLUqFF4eXlx2WWX8fjjj5Odnc29995L//796dGjBwCDBg3im2++4b777uPLL7/km2++4aOPPipyXKPRyK233soHH3xQ45OnTGY3fIKCSqz39PPDZNarRREROYPZmv8+w1l0pnQAvEIqN56LiCv6bzV58J16OCLlxBwcTMB995L4zvSilUYj3h06VnpMIiJSxQXFgrsfZBczSrjRjeBV/JrWIiJSMwV4WXikY30Gz99UbH3/NtFYzEqeEhGRfwR5W6kf4s2+hPQidfVDvAny1swhIlJxfHx8mD9/fsG/MzIyeOGFFxg0aBAAy5cvL3X/cePGMW7cuEJl99xzD/fcc0+x22/fXnSG76+++qrg77m5uSWea/r0Yp7r10Ams5kW3XqwY+XPxda36nkHHj6+lRyViIhUaV7B+e8z/vy6aJ27HwQ1qPyY5ILU1MF3eqoqUk4MZjMBd92F17/X+zSbiXpjGuYakI0pIiLnyDcS+nwOFu/C5SGNoNtEsPq4Ji4REamyWscEcvdVtQuVGQzwTPfGxAR7uigqERGpqkJ8rLx3X0tCfKxlKhcRKU+bN29mwYIF7Nu3j02bNtGnTx8Aevbs6eLIpDT+4ZG0v/eB/BuNM1zWqSu1mlzioqhERKTKsvrkv88IaVy43OKd//7DN9I1cYmcI808JVKO3EJDiZwymdxjx8jcsBFzYAAeLVpgDgnBeJ5TEYuIyEXMaILIljB4DcRtheRDENkCAuuBT7iroxMRkSooyNvK090b80DbGNbsT8RiMnJ1vUBCfKx4u7u5OjwREamCGoT6sHhIW3afSGPP8XRiw7yJDfUh0t/D1aGJSA0wefJkdu3ahcVi4YorruCXX34hOFgzbVdl7l7eNOvcjQZXtubw9t+x5+VR+5LL8A4IxN1bA/1ERKQY/rWh71eQtB+ObQb/OhDRHHwi89+DiFQDSp4SKWfmwEDMgYF4XHqpq0MREZHqwGTOv5Hwr+PqSEREpJrw97Tg72mhYbheXIiISNlE+HsQ4e9Bh4ahrg5FRGqQFi1asHHjRleHIefB6uGJ1cOTgIgoV4ciIiLVhU94/p+617g6EpHzomX7RERERERERERERERERERERESkRlLylIiIiIiIiIiIiIiIiIiIiIiI1EhKnhIRERERERERERERERERERERkRpJyVMiIiIiIiIiIiIiIiIiIiIiIlIjKXlKqo10WzoZtgxXhyEiItWEzW4jNScVm93m6lBERKSayMjJJS0719VhiIhINZFnd5CSlUt2rt3VoYiISHVhy4CsFHA4XB2JiIhUBw5Hfruhd+QiFc7s6gBEzuZ4xnF+jfuVr/Z+hdlg5u7Gd9M8pDkhniGuDk1ERKqgnLwcDqcdZv7O+ew+tZvYgFj6NOlDbZ/auJvdXR2eiIhUQSdSs9l8OJm5vx4k1+7gP1fUokNsCBH+Hq4OTUREqqA8u4Mjp7L4ZP1h1h1IJNLfgwevrUe9YC98PdxcHZ6IiFRFGSfhxA5Y8w5kJUGjm+DS28C/jqsjExGRqir5EGxfCH9+De7+cPUQCL8UvIJdHZnIRUkzT0mVdjzjOIOWDmLM6jFsPL6RdfHrGL58OM/88gwJmQmuDk9EpMp45ZVXuOqqq/Dx8SE0NJRevXqxa9eus+732Wef0bhxY9zd3bnsssv49ttvKyHaimN32Fkfv57b/+92Pt/zOdtObuOLPV9w+//dzrq4deQ58lwdooiIVDEJadmM+mwbD/1vI7/uS2T9wVM8/cXv3PvBOuKSs1wdnki5WblyJT169CAyMhKDwcCiRYtcHZJItbUrPo3ub/zCuyv2selQMl9vi6PXO6v5YtMRMnN0zyEiUl7GjRvH5Zdf7uowLlxmEqx4Feb2gN1L4PBv8ONYeP86SNrv6uhERKQqSjoAMzvB0jH57caeH+B/PeGnl/LbFREpd0qekirL4XTw7YFv2Z9S9OZhXfw6tidud0FUIiJllHUKTu6GIxvg5J78f1egFStWMGTIENauXcvSpUvJzc3lhhtuICOj5Klcf/31V3r37s2AAQPYvHkzvXr1olevXvzxxx8VGmtFSshK4NlVz2J3Fl42w+F0MHr1aE5mnXRRZCIiUlX9cTSVFXuKDszYl5DBws1HsTucLohKLnqV3FcEyMjIoHnz5rzzzjsVfi6Ri1lSRg5PfrGNrGKW6nvpm50kpOe4IKoaopKvnQkJCTzyyCPUqVMHq9VKeHg4Xbt2ZfXq1QDnlYhqs9mYNGkSLVu2xMvLCz8/P5o3b85zzz3HsWPHKuBTiJzBBf2Ps+nYsSMGgwGDwYC7uztNmzZl+vTpFXrO0+czGAyYzWbq1KnDiBEjyMmpwOt36lH47b9FyzNOwk8TIEdLMYmIyBlsmbD8FUg/UbRu42xIOVz5MYlruKD/VpMH32nZPqmyTmWfYuGehSXWf7LrE66OuFpLMIlI1ZNyFL4aCvt/+qesfie45S3wi6qQUy5ZsqTQv+fMmUNoaCgbN26kffv2xe7zxhtv0K1bN0aNGgXAiy++yNKlS3n77beZMWNGhcRZ0ZKykziVU3znMSUnhcSsRMK9wis5KhERqapycu38b+1fJdZ/suEwd1xZmxAfayVGJRc9F/QVAbp370737t0r7PgiNcWpzFy2H0stts7ucPLH0VTqBnlVclQ1gAuunf/5z3+w2WzMnTuXevXqcfz4cZYtW0ZiYuJ5HS8nJ4cbbriBbdu28cILL9C2bVtCQkI4cOAACxYs4K233uKVV14p50/xD5vNhsViqbDjSxXnov5HWQwcOJDx48eTmZnJvHnzGDJkCAEBAfTu3bvCzjl79my6detGbm4uW7du5f7778fLy4sXX3yxYk648/9KrtuxCDqPA6vaDhER+VtWEmz/suT67YsgonmlhSMu4qL+2+nBdw888AC33XZbhZ2nKtLMU1JlOXEWmTnkTHanHadTo8BFpIrJOlW0MwOwbxksfrTSRvWlpKQAEBgYWOI2a9asoXPnzoXKunbtypo1ayo0top0tnbBidoNERH5hxNwlNJ22B1OtR1SvqpIX1FELsBZmgXNWFgBXHDtTE5O5pdffuHVV1/luuuuo27durRq1YpnnnmGW265hejoaABuvfVWDAZDwb9LM3XqVFatWsVPP/3EY489xhVXXEGdOnXo0KEDM2bM4OWXXy7Y1uFw8MorrxATE4OHhwfNmzfn888/L3S8FStW0KpVK6xWKxERETz99NPk5f2zbGTHjh0ZOnQojz/+OMHBwXTt2hWAxYsXExsbi7u7O9dddx1z587FYDCQnJxcsO+qVau49tpr8fDwoHbt2jz22GOFZraePn16wTHCwsK4/fbbz+Nblkrjwv5HWloaffr0wcvLi4iICKZOnUrHjh15/PHHC7bx9PQkPDycevXqMW7cOGJjY1m8eHGJx5w5cyZNmjTB3d2dxo0bF5qp6oEHHqBZs2YFs0jZbDZatGhB3759Cx3D39+f8PBwateuzc0330zPnj3ZtGlT+X74MzlKfs+B01Fx5xURkeqrtPbBkVt5cYhruLD/1r17d1566SVuvfXWCjtHVaXkKamyAqwB9Kjfo8T622Nvx8PNoxIjEhEpg4yEop2Z0/Yty6+vYA6Hg8cff5y2bdty6aWXlrhdfHw8YWFhhcrCwsKIj4+v6BArTKB7IL4W32LrvN28CXIPquSIRESkKnN3M9G7VZ0S629rEUWgp2ZokHJUBfqKInJh/DzdiA31LrbOYIDLavlVckQ1gAuund7e3nh7e7No0aJil/Jav349kD97TVxcXMG/S7NgwQK6dOlCixYtiq03GAwFf3/llVeYN28eM2bMYPv27QwfPpx7772XFStWAHD06FFuvPFGrrrqKrZu3cq7777LBx98wEsvvVTomHPnzsVisbB69WpmzJjBgQMHuP322+nVqxdbt27loYceYvTo0YX22bdvH926deM///kP27Zt45NPPmHVqlUMHToUgA0bNvDYY48xfvx4du3axZIlS0qc8VqqCBf2P0aMGMHq1atZvHgxS5cu5ZdffjlrkpKHhwc2m63Yuvnz5zNmzBgmTJjAzp07efnll3n++eeZO3cuAG+++SYZGRk8/fTTAIwePZrk5GTefvvtEs+3e/dufvrpJ1q3bn2en7IMmtxccl2j7uDhX3HnFhGR6sfdHxqV0nY0rXlJLTWOnh+5hJbtkyrLZDTRs35PFu5ZyLGMY4XqLgm6hMtDL3dNYCIipckufvmGMteXgyFDhvDHH3+watWqCj9XVRPiGcKYNmMYuWJkkbrnr36eEI8QF0QlIiJV2eW1/WlRx5/Nh5ILlUf6uXPXVbUxmzTmSMpRFegrisiFCfa2MvE/zbj7v2vItReeZeqx62MJ9lbSbblzwbXTbDYzZ84cBg4cyIwZM2jZsiUdOnTg7rvvplmzZoSE5N9bnp69pix2795Nx44dC5XdeuutLF26FIBmzZrx66+/kpOTw8svv8yPP/5ImzZtAKhXrx6rVq3ivffeo0OHDkyfPp3atWvz9ttvYzAYaNy4MceOHeOpp55izJgxGI35/ZfY2Fhee+21gvM9/fTTNGrUiEmTJgHQqFEj/vjjDyZMmFCwzSuvvEKfPn0KZgaKjY3lzTffpEOHDrz77rscOnQILy8vbr75Znx8fKhbt26JCWFSRbio/5GWlsbcuXP56KOP6NSpE5CfcBgZGVns9na7nQULFrBt2zYGDRpU7DZjx45lypQpBUvIxMTEsGPHDt577z369euHt7c3H374IR06dMDHx4dp06bx888/4+tbeKBd7969MZlM5OXlkZOTw80338wzzzxTjp/+X/zqwGV3wO+fFS63+kKncWD1qbhzi4hI9WP1hk7Pw4EVkJ1cuK7prRBQ1yVhSSXS8yOXUPKUVGkR3hHM6TaH7w58x//t/z/MRjN3NryT9rXaE+oZ6urwRESKci9+1qMy11+goUOH8vXXX7Ny5Upq1apV6rbh4eEcP368UNnx48fL/OC3KjIbzbSLbMfHN33M+7+/z77kfcT4xTCo2SBi/GIwm9T1ERGRwsJ83ZnR5wp+3n2C/635C1ueg1tbRNHz8iiiAjTTrZQzF/cVRaR8XBbly3fDruW/K/ez8a9ThPm6M/i6Blwa6YuPu5urw7v4uOja+Z///IebbrqJX375hbVr1/Ldd9/x2muvMXPmTPr3718u55g+fToZGRm8+eabrFy5EoC9e/eSmZlJly5dCm17evkxgJ07d9KmTZtCs1W1bduW9PR0jhw5Qp06+TNrXnHFFYWOsWvXLq666qpCZa1atSr0761bt7Jt2zbmz59fUOZ0OnE4HBw4cIAuXbpQt25d6tWrR7du3ejWrRu33nornp6eF/htSIVx0e/Q/v37yc3NLfQz5ufnR6NGjQptN336dGbOnInNZsNkMjF8+HAeeeSRIsfLyMhg3759DBgwgIEDBxaU5+Xl4ef3z6x/bdq0YeTIkbz44os89dRTtGvXrsixpk6dSufOnbHb7ezdu5cRI0Zw33338fHHH5fHRy/KKwi6vgxNe8LqN/JfhMd2haseBH+9ABcRkWIENYBBK2DDB7D7O3D3gzaPQt1rwCvY1dFJRdPzI5dw6RvEcePG8cILLxQqa9SoEX/++aeLIpKqKMI7gn6X9KNXg14YDAYC3ANcHZKISMm8QqB+p/xpM/+tfqf8+grgdDp59NFHWbhwIcuXLycmJuas+7Rp04Zly5YVjCYFWLp0acHI1urKy+LFJcGX8HK7l8nKy8Ld7I6Xm5erwxIRkSoszM+du6+qww1Nw3A4IcDTgsloOPuOIufKRX1FESlfFrOJBqE+jO95KWnZebi7GZU0VZFceO10d3enS5cudOnSheeff54HH3yQsWPHnlfyVGxsLLt27SpUFhERAUBgYGBBWXp6OgDffPMNUVFRhba3Wq3ndE4vr3O/F05PT+ehhx7iscceK1JXp04dLBYLmzZtYvny5fzwww+MGTOGcePGsX79evz9/c/5fFIJqnj/o0+fPowePRoPDw8iIiIKZk77t9O/G++//36RJfZMJlPB3x0OB6tXr8ZkMrF3795ijxUeHk6DBg2A/HdSaWlp9O7dm5deeqmgvNx5h0KTHlC3HThy85dkMmu2QhERKYHBAIHR0GkMXPMomNzAQ+/Ia4wq3n+7WLl8/YFLLrmEuLi4gj81cYkhOTuT0USgR6ASp0Sk6vMIgFveyu+8nKl+p/zyCurcDhkyhA8//JCPPvoIHx8f4uPjiY+PJysrq2Cbvn37FpqCfNiwYSxZsoQpU6bw559/Mm7cODZs2MDQoUMrJMbK5unmSZBHkBKnRESkzAK9rAR7W5U4JRXHRX1FyH/huGXLFrZs2QLAgQMH2LJlC4cOHaqwc4pc7NzdTIT4WJU4VdFceO38t6ZNm5KRkQGAm5sbdru9zPv27t2bpUuXsnnz5rOew2q1cujQIRo0aFDoT+3atQFo0qQJa9aswen8Z+nI1atX4+PjU+os1I0aNWLDhg2FytavX1/o3y1btmTHjh1Fzt2gQQMslvxED7PZTOfOnXnttdfYtm0bBw8e5KeffirzdyGVzEW/Q/Xq1cPNza3Qz1hKSgq7d+8utJ2fnx8NGjQgKiqqxMQpgLCwMCIjI9m/f3+Rn80zBxFOmjSJP//8kxUrVrBkyRJmz5591lhPJ1+d+RytwngG5CdSKXFKRETKwuSW324ocapmqUL3QDWJy9euMZvN1Xp5IBERkSL8ouD2DyAjIX/dYXff/CzwCuzMvPvuuwB07NixUPns2bMLRsQeOnSo0EOoa665ho8++ojnnnuOZ599ltjYWBYtWsSll15aYXGKiIiI1Hgu6CsCbNiwgeuuu67g3yNGjACgX79+zJkzp0LPLSJywSr52pmYmMgdd9zBAw88QLNmzfDx8WHDhg289tpr9OzZE4Do6GiWLVtG27ZtsVqtBASUHsvw4cP55ptv6NSpE2PHjuXaa68lICCA3bt389133xUkb/j4+DBy5EiGDx+Ow+GgXbt2pKSksHr1anx9fenXrx+DBw9m2rRpPProowwdOpRdu3YxduxYRowYUWryyUMPPcTrr7/OU089xYABA9iyZUtBG3B6CcCnnnqKq6++mqFDh/Lggw/i5eXFjh07WLp0KW+//TZff/01+/fvp3379gQEBPDtt9/icDiKLMUmVYwL+h8+Pj7069ePUaNGERgYSGhoKGPHjsVoNBZacvJcvPDCCzz22GP4+fnRrVs3cnJy2LBhA6dOnWLEiBFs3ryZMWPG8Pnnn9O2bVtef/11hg0bRocOHahXr17BcZKTk4mPj8fhcLBnzx7Gjx9Pw4YNadKkSXl9fBEREZEL46LnR+np6YVm7zw9+C4wMLBgefCLlcuTp/bs2UNkZCTu7u60adOGV155pcQvPScnh5ycnIJ/p6amVlaYIiJSTbms7fAIqNTM7zNHm5Zk+fLlRcruuOMO7rjjjgqISESketI9h4hUikruK0J+kn1Z+oxy7tR2iFSSSrx2ent707p1a6ZOncq+ffvIzc2ldu3aDBw4kGeffRaAKVOmMGLECN5//32ioqI4ePBgqcd0d3dn2bJlTJs2jdmzZ/PMM8/gcDiIiYmhe/fuDB8+vGDbF198kZCQEF555RX279+Pv78/LVu2LDh3VFQU3377LaNGjaJ58+YEBgYyYMAAnnvuuVJjiImJ4fPPP+eJJ57gjTfeoE2bNowePZpHHnmkYEnAZs2asWLFCkaPHs21116L0+mkfv363HXXXQD4+/vz5ZdfMm7cOLKzs4mNjWXBggVccskl5/t11zg15VkVwOuvv87DDz/MzTffjK+vL08++SSHDx/G3d39vI734IMP4unpyaRJkxg1ahReXl5cdtllPP7442RnZ3PvvffSv39/evToAcCgQYP45ptvuO+++1i5cmVBkuL9998P5CcNhoeH0759e15++WXMZpe/MhMRKZbuOURqKBf032ry4DuD04VPzr777jvS09Np1KgRcXFxvPDCCxw9epQ//vgDHx+fItuPGzeOF154oUh5SkoKvr6+lRGyiEi1lJqaip+fX428Xp5L25Gdnc2BAweIiYk574c4NYG+J5Gaoaa2HbrnEBFQf6ckpX0vNbXdALUdIqXR9bTqmzBhAjNmzODw4cMVcny1HUXV5GdVGRkZREVFMWXKFAYMGODqcM7JxfZ/IVJdqe0orKZ9DyJno/a6Ziqve46S5/CtBN27d+eOO+6gWbNmdO3alW+//Zbk5GQ+/fTTYrd/5plnSElJKfhTUTd0IiJy8VDbISIi50LthoiInCu1HSJSnUyfPp3169ezf/9+/ve//zFp0iT69evn6rBqlJrUbmzevJkFCxawb98+Nm3aRJ8+fQAKlr8UEZGyqUlth4iIq1SpOUj9/f1p2LBhoTUUz2S1WgumDxYRESkLtR0iInIu1G6IiMi5UtshIgCXXHIJf/31V7F17733XkHSiKvt2bOHl156iaSkJOrUqcMTTzzBM8884+qwapSa1m5MnjyZXbt2YbFYuOKKK/jll18IDg52dVgiItVKTWs7RERcoUolT6Wnp7Nv3z7uu+8+V4ciIiIiIiIiIiIiIlIm3377Lbm5ucXWhYWFVXI0JZs6dSpTp051dRhSQ7Ro0YKNGze6OgwRERERkbNyafLUyJEj6dGjB3Xr1uXYsWOMHTsWk8lE7969XRmWiIiIiIiIiIiIiEiZ1a1b19UhiIiIiIiIyHlyafLUkSNH6N27N4mJiYSEhNCuXTvWrl1LSEiIK8MSEREREREREcHpdLo6hCpF34eInC9dP2ou/d+LiIiISGVTH7RmKa//b5cmT3388ceuPL2IiIiIiIiISBEmkwkAm82Gh4eHi6OpOmw2G/DP9yMicjZubm4AZGZm6npaQ2VmZgL//CyIiIiIiFQU3X/UTOV1z+HS5CkRuXhlpdvISs0lPTkHDx83PH0tePlZXR2WiIhUUQ67nfRTSaQnniQv14ZvcCiefv5YdIMjIiIlSM3KJTE9h6PJWfi4uxHqayXc1x2DwXDBxzabzXh6epKQkICbmxtGo7EcIq7eHA4HCQkJeHp6YjbrcZKIlI3JZMLf358TJ04A4OnpWS7X6fOVm+cgz+HA4XTiZjRiNBkw6xpfIZxOJ5mZmZw4cQJ/f38l3opItZSRk0dieg5HTmVhdTMS7udBmI8Vs0lth4hIVVQl7j/suWDPA6cdjOb8PyY9R6kI5X3Pof8lESl36aeyWTZ3J0f+PFVQFhDhyU2PNMMv1NOFkYmISFVkz83l6K4d/N/rr5CdkQ6AwWikVc87aHnjLXj6+rk4QhERqWoS0rJ59bs/+WLzUU7PzB3ma2VWv6toEuGL0XhhD8YMBgMREREcOHCAv/76qxwivjgYjUbq1Knj0sQHEal+wsPDAQpeYLhKrt1BYrqNPMc/Szp4Wkz4ebhhusB2Q0rm7+9f8DMgIlKdJGXY+N+ag7z1096CtsPX3cw7fVrSKjoQq5uSQkVEqiKX3n848iAjIT+B6jSzO3gG5idRSYUor3sO/Q+JSLmyZeex6rM9hRKnAE7FZfL1O9voNaKFZqASEZFCUhMT+PKVsdjz8grKnA4H6xZ+QnCdujS+pr0LoxMRkaomz+5gwW+H+XzT0ULlx1Nz6D1zLd891p6ogAufudBisRAbG1uwVJ3kfyeahUtEztXphNTQ0FByc3PPvkMFOJ6azcP/20Bqdl6Runta16Fvmzq4aWakcufm5qYZp+SCjBs3jkWLFrFlyxZXhyI10PqDSUz9cU+hstTsPO6fvZ4fhrenXoi3iyITEZHSuOz+IyMRvhoCSXuL1kVfC13Gg9Wn8uKpIcrznkPJUyJSrjJTbezfnFBsXfLxTDJScpQ8JVIB3n33Xd59910OHjwIwCWXXMKYMWPo3r17ift89tlnPP/88xw8eJDY2FheffVVbrzxxkqKWOQfu9euLpQ4daY1n39E7abN8PL3r9ygRESkyjqRlsPMVfuLrUvNyuOPYynlkjwF+TMtubu7l8uxRERqOpPJ5LJEmn0HU9iZkFNs3bu/HKbXldFEeel6L1LZOnbsyIoVKwCwWq3Uq1ePoUOHMnjw4Ao9788//8ykSZNYt24dWVlZREdH0717d0aMGEFUVFSFnluqh8T0HKb9uLvYujyHk6+2HGN4l4aVHJWIiJyLSr//SE6CQz8XX7d9AVw3EvxCKi8eOWcaLigi5So3x16wbEZxMlM0altqhpScFA6kHGBbwjYOpBwgJSelQs9Xq1YtJk6cyMaNG9mwYQPXX389PXv2ZPv27cVu/+uvv9K7d28GDBjA5s2b6dWrF7169eKPP/6o0DhFipPw14ES61JOHMdhLz6xSkREaiab3UFqVsltw94T6ZUYjYiIVAcHT2aWWJeek0dOrqMSoxFxjcp+VlVWAwcOJC4ujh07dnDnnXcyZMgQFixYUGHne++99+jcuTPh4eF88cUX7NixgxkzZpCSksKUKVMq7LxSvdjsDo4kZZVY/2d8KnaH2g4RETlDZmLJdU4n2PS8qqpT8pSIlCuLhxmjyVBivXeARvHJxS8+I54nVz7JLYtuoc+3fbhl0S08tfIp4jPiK+ycPXr04MYbbyQ2NpaGDRsyYcIEvL29Wbt2bbHbv/HGG3Tr1o1Ro0bRpEkTXnzxRVq2bMnbb79dYTGKlCSq8SUl1gXXrovZYqnEaEREpKpzNxsJ8Sl5NttLo3wrMRoREakOGoeXvDxGoJcFDzctLScXN1c8qwJIS0ujT58+eHl5ERERwdSpU+nYsSOPP/54wTaenp6Eh4dTr149xo0bR2xsLIsXLy7xmDNnzqRJkya4u7vTuHFjpk+fXlD3wAMP0KxZM3Jy8meas9lstGjRgr59+wJw5MgRHnvsMR577DFmzZpFx44diY6Opn379sycOZMxY8ZUzBch1Y6Hm4nY8JKX5bsqOhCTlrMWEZEzeYeXXGc0g1XPq6o6tewiUq48fS1ccm1ksXXh9Xzx8tMLcLm4peSkMPbXsfx67NdC5auPrWbcr+MqZVSf3W7n448/JiMjgzZt2hS7zZo1a+jcuXOhsq5du7JmzZoKj0/k3+q1uAKLh2exddf27oeHj24qRETkH6E+7ozoXPwSGRF+7jQMK/kFuYiI1Ez1QrypVcKSro91akCorwb7ycXLlc+qRowYwerVq1m8eDFLly7ll19+YdOmTaXu4+Hhgc1W/OoF8+fPZ8yYMUyYMIGdO3fy8ssv8/zzzzN37lwA3nzzTTIyMnj66acBGD16NMnJyQWDBT/77DNsNhtPPvlkscf39/c/z08qFxt/TwtPdm1cbJ2XxcQNl4RVckQiIlLleYVA9LXF113eB7xCKzceOWdKnhKRcuVmMXFF92gu7RD1zwxUBoi+NIgbHrwUDx8lT8nFLSk7qcjDqNNWH1tNUnZShZ37999/x9vbG6vVysMPP8zChQtp2rRpsdvGx8cTFlb4Jj8sLIz4+IodcShSHN/gUO4aN5HAqFoFZe5e3nR95HHC6se6MDIREamKjEYDXS8N48mujQrNFNK8lh8fDbyaCL/iX46LiEjNFe7nzvwHW9Oyrn9BmbubkeFdGtKjWSQmY8mzqItUd656VpWWlsbcuXOZPHkynTp14tJLL2X27NnY7fZit7fb7Xz44Yds27aN66+/vthtxo4dy5QpU7jtttuIiYnhtttuY/jw4bz33nsAeHt78+GHH/LOO+8wZswYpk2bxv/+9z98ffMHZe3ZswdfX18iIiIq5DPLxaVppC9v3HU5/p5uBWX1gr34+KE2RPkXPwhQRERqMK8guPU9aHQTGP6+vzCaoWU/uO5ZsHq5Nj45K7OrAxCRi4+Xn5VrbqvP5Z1rY8uy42Y14eFjweqpS45c/NJsaRdUfyEaNWrEli1bSElJ4fPPP6dfv36sWLGixAQqkarCYDQSGl2PO8dOJCs1BUdeHu4+vngHBGI0afkMEREpKtDLyoPXxnBL80hSsnOxmo0EelkJ9NJgDRERKV7dIC8+6HcVSRk2snPt+Hm4EeJtxaol++Qi56pnVfv37yc3N5dWrVoVlPn5+dGoUaNC202fPp2ZM2dis9kwmUwMHz6cRx55pMjxMjIy2LdvHwMGDGDgwIEF5Xl5efj5+RX8u02bNowcOZIXX3yRp556inbt2hXUOZ1ODAYlS0rZ+Lq7cVOzCK6KCeRUpg03o5EAL0upS4iLiEgN5xcFt86AjASwpecv1ecVqsSpakKZDCJSIdysZvxCdImRmsfHUvoyMWervxAWi4UGDRoAcMUVV7B+/XreeOONgtF3ZwoPD+f48eOFyo4fP054eClrMotUMC8/f7z8/F0dhoiIVBMWs4lagZ7UOvumIiIiAAR4WgjwVKKt1CyufFZVFn369GH06NF4eHgQERGB0Vj8ginp6ekAvP/++7Ru3bpQnemMgVcOh4PVq1djMpnYu3dvoe0aNmxISkoKcXFxmn1KysRsMhLp70Gkv2a3FRGRMnL3zf8j1Y6W7RMRESlHge6BtI1sW2xd28i2BLoHVlosDoeDnJycYuvatGnDsmXLCpUtXbqUNm3aVEZoIiIiIiIiIiJSCVz1rKpevXq4ubmxfv36grKUlBR2795daDs/Pz8aNGhAVFRUiYlTAGFhYURGRrJ//34aNGhQ6E9MTEzBdpMmTeLPP/9kxYoVLFmyhNmzZxfU3X777VgsFl577bViz5GcnHyen1ZEREREqjtNCyMiIlKO/Kx+jLtmHON+HcfqY6sLyttGtmXcNePws/qVsvf5e+aZZ+jevTt16tQhLS2Njz76iOXLl/P9998D0LdvX6KionjllVcAGDZsGB06dGDKlCncdNNNfPzxx2zYsIH//ve/FRKfiIiIiIiIiIhUPlc9q/Lx8aFfv36MGjWKwMBAQkNDGTt2LEaj8byXznvhhRd47LHH8PPzo1u3buTk5LBhwwZOnTrFiBEj2Lx5M2PGjOHzzz+nbdu2vP766wXPwOrVq0ft2rWZOnUqQ4cOJTU1lb59+xIdHc2RI0eYN28e3t7eTJkypZy/CRERERGpDpQ8JSIiUs7CvcJ5tf2rJGUnkWZLw8fiQ6B7YIU9jAI4ceIEffv2JS4uDj8/P5o1a8b3339Ply5dADh06FCh0XvXXHMNH330Ec899xzPPvsssbGxLFq0iEsvvbTCYhQRERERERERkcrnimdVAK+//joPP/wwN998M76+vjz55JMcPnwYd3f38zregw8+iKenJ5MmTWLUqFF4eXlx2WWX8fjjj5Odnc29995L//796dGjBwCDBg3im2++4b777mPlypWYTCYGDx5Mw4YNmTx5MrfeeitZWVlER0dz8803M2LEiPL8+CIiIiJSjRicTqfT1UGcr9TUVPz8/EhJScHXV+tGioiURNfLf5T2XWRnZ3PgwAFiYmLO+yFOTaDvSaRmUNuRT9+DiEjZ6Hr5D30XIiJlo+tlvpr0rCojI4OoqCimTJnCgAEDXB3OObnY/i9Eqiu1Hfn0PYiIlM25XC8185SIiIiIiIiIiIiIiIiUq82bN/Pnn3/SqlUrUlJSGD9+PAA9e/Z0cWQiIiIiIoUpeUpEqoyEzAQy8zIxG80EugfiYfZwdUgiIlKFOXJyyDt5EnJzMXh64hYa6uqQRESkikvKyCE1Ow+jwUCApxs+7m6uDklERKqwPLuDE2k55OQ5cDcbCfV1x2Q0uDoskWpl8uTJ7Nq1C4vFwhVXXMEvv/xCcHCwq8MSqThZyZB1Kv/v7n7gGejScEREpIpzOiEtDnKzwGQB7zAwW1wdVY2k5CkRcbl0WzqbT2xm4m8TOZR2CLPRzE0xNzG0xVDCvcJdHZ6IiFRBucePc/K990j54kucOTmYIyMJfXIU3m3aYPLzc3V4IiJSxdjy7Ow4lspzX/3BH0dTMRjg+sahPHdTU2KCvVwdnoiIVEEJaTl8/Nsh3v9lP6nZeQR6WRh6XQN6Xh5JkLfV1eGJVAstWrRg48aNrg5DpHI4nXByN3z7JBxYnl9WuzXcNAVCmoBJr2RFRORfMhNh13fw04uQFg8WL7hqIFz9CPjoHXllM7o6ABGRrQlbGbxsMIfSDgGQ58jjq31fMfjHwSRkJrg4OhERqWryEhM5+sQTJH+0AGdOTn7ZsWMce3w46b+swul0ujhCERGpag6czOCO99bwx9FUIP+9xrKdJ7hzxhqOnsp0cXQiIlLVpGXn8voPu5iydDep2XkAJGXYGP/1Dub8epDsXLuLIxQRkSon+S/4oMs/iVMAh9fllyUfdFVUIiJSVdnzYNtn8NWQ/MQpAFsGrJ4G3zwBmUkuDa8mUvKUiLhUYlYir61/rdi6Pcl7OJByoJIjEhGRqi43Lo6sDcWPXD0xaRJ5J05UckQiIlKVpWfnMnXpHnLtRZNrE9JzWL5bAzZERKSwxHQbn2w4XGzdf1fuJyEtp5IjEhGRKs1hh62fQHZK0brcLFgzHfKyKz8uERGputLiYPnLxdf9+TWk6z1HZVPylFQ4e1oaucePk3fypKtDkSooKy+L/Sn7S6xfH7++EqMRkSoj7TikHoOcNFdHIlVQ9h9/lFiXd/w4joyMSoxGRKqCTFse8SnZnEjNxuHQ7HNSWHpOHr8dLHm03rKdJ8jNc1RiRCJSFSSm5xCfkkVKps3VoUgVdCItm5K6FDl5DpL1cyNS4zidTpwOJ/Z0G067+o7yLznpsHdpyfUHVkB2auXFIyJVQ+ap/PccGYmujkSqouyU4pNuT0vcW3mxCABaYFdw2u3kxh8ne+cOco8cwb1pUyzR0biFhl7QcR3Z2dgOHODEtDfI2rQJc3AQQQ8OxLtDe8zBweUUvVR3ZqMZD7MHWXlZxdaHeYVVckQiUiZOByTuh6OrwWiG6HbgHQbuvhd23LTjsOsb+PWt/LWeo9vBdaMhqAGYreUTu1R75pCQUirNGCyWygtGRMosLjmLvSfS2XU8jQah3jQM8yHS3+OCjml3ODmYmMHbP+3lpz9P4GUx0bdNNL1aRBHu515OkUt1ZzYaCfSykJRR/IvuSD93TEZDJUclImeTkZPHibQc1u1PJDvPztUxQYT7uePveWF9vaSMHNbuT+LNZXs4lpxFkwhfRnVtRONwH7zd3copeqnuvK2lPzZ3dzNVUiQici7seXnYc3PJzcnGZHbDbLViMpsxGC6sr+fMc2BPs+FItZH4ww5yG4Xi3SYSc4DuOeRvZgt4h5dc7xUCJj2vEqlycrMhPR4Or4eMBKjTGvzqgHcpz5/LIjsF4n+HZeMh4U8IiIaOz0Dt1uAZWC6hy0XA7Sz9CP2sVDolT9VwToeD7B07OHT/AzjS0wvKLTHR1J45E0tU1HkfO3v7dv7q2w/sdgBsaWnEjR6N7y23EPbsM5j9/S80fLkIBLkHcUfDO5i3Y16ROrPBTOuI1i6ISkRKZc/N7/x/OwjSz1jG4Prn4coB4BlwfsfNOAlfj4BdX/9T9uc3sOcHeOAHiGp5YXHLRcPauDEGT0+cmZlF6nxv7I45UDcVIlXN/oR07nl/HfGp/yxTEOxtYcHAq4kN8znv4x48mUGPt1eRacu/50jJymXikj/5fkc87917BaG+epkhEOxj5eEO9Rj52bZi6+9pXQejkqdEqpS0rFy+2HyUF/5vO84zZv+5vWUUT9/YhGDv8xtYkZ6dywerDvLOz/+M4F13IInbZ6xhxr1XcEPTMF0PBIAgbyu1Ajw4cqroYL9LIn0J9NILcJGqxp6by6njceTl/LOspsFoICA8Cjd39/NOoHLmOchNyMSRk4fT6cSRmUf6yqNk/X6SkIeaY/bXYD8B3DzgmiHw5/8VX99uOHj4V2pIInIWudlwYDl8cm/+O4/T6raD/8wE34jzO67dDruWwMJB/5TFbYUFd0OnsdD6YbB4XlDocpHwDIZ6HWH/8mLqgsC/TmVHVONp2b4aLu/4cQ4PHFQocQrAduAg8S+Mx552fssl5SUmEj/uhYLEqTOlLl5M3omE8zquXHzcTG70vaQvLUMKJ0WYjWbeuP4NQj0vbAY0EakAednFL6f304uQuOf8j5typHDi1Gn2XPh2FGSWvNyO1CxuYWHUfm8GBvfCSRHWRo0IfXw4Rk/dfIpUJYnpOQz5aFOhxCmAk+k2Bs7bwIl/lZdVRk4eU5buKkicOtPmQ8nsOq6lX+UfHRqG0uvyyEJlBgOMu+USageo3RCpag6dymTc4sKJUwCfbzrK6r0nz/u4iRk23l1e/NIHz3/1ByfSzq9NkotPmK87H/S7skiSVLivO2/1bkHQeSbwiUjFcDgcpCUlFkqcAnA6nJyKP4Y9L++8jpufLJUL9qLreNpP5ZC9IxHnvxsrqbmCG0GHp4uWtxoEUVdUfjwiUrq0OPi4T+HEKYC/VsG694qWl1V6HHz3ZPF1y1+GjBPnd1y5+Hj4Q483ILBe4XKrL/T5HHwii91NKo5mnqrhbIePYE9OLrYu45dfsCclYfI595Hg9rQ0cvaU/AI9c8N63BvGnvNx5eIU5hnG69e9ztH0o2w+sZkg9yAuD72cEM8QrCY9jBKpUhx5+TNElWTNOxDe7OzTjRZn308l1x3dADmpmqZUADCYzXhefjn1vv4/sn//ndz4eDyaNcNSp07pS/qJiEskZtjYGVd8ItPBxExOZtjOa4ao1Kxclu0s+YHTV1uOcm2srgmSL8THytgel/Bwx/r8ujcRD4uJNvWCCPGx4nWWpZlEpHLZ7Q4+XPtXifXvLt9HuwbB55W8sj8hA0cJ77gT0nI4lZlLuN+FLSkrF49G4b58/Wg7/oxLZW9COo3DfYkN8yZCPyMilWbcuHEsWrSILVu2lLqdw24nO6P4ew6nw0GezYbZ7TyWZnU4cWSVnHiVufkEHi1CMHlo2Vch/7llm8Fw2e1wYGX+c9SYDuATBh7nOVO/iFSc/T/n/54WZ8NMaDUQ/M5jhabMRMhOLr7OngspR/OX8ROB/J+F/t9C4l44thkCYyCiOfhGgVHzIFU2PSGs4exJpczi4XTi+NdIjbIymEz5w3hLGHVh9PQ6r+PKxSvII4ggjyCahTRzdSgiF4WJEyfyzDPPMGzYMKZNm1bidp999hnPP/88Bw8eJDY2lldffZUbb7yx5AM7neAoOsNHgfR4sNvOL3nK4l1yndEEBnUU5R8GNzcstWphqVXL1aGIyFlk55bSbgBZtvMbBW4wgLubiZw8R7H1Pu56gSGFBXhZCPCy0Djc19WhiEgpch1O4pJLngEqMd1GXjEzgJSFu5up1HqzluyTf4n09yDS34Prm4S5OhSRi1LHjh1ZsWIFAFarlXr16jF06FAGDx58bgdyOqGUpsFh/+ee48zl+zw9PYmMjKRt27Y8+uijXHFFMbMDlbLcn8FixKC2Q87k7pf/J1iTB4hUeclHSq7LSSs5sepsjGdJvzBr+Wf5F9+I/D8x17o6khpPbyFrOEu9eiXWGX19z2vWKQCTvz9e17Yr4cBGPFu2OK/jiohUF3kpKeTs30/W1q3k7D9AXkpKpZ17/fr1vPfeezRrVnoy4q+//krv3r0ZMGAAmzdvplevXvTq1Ys//vij5J0MptLX467fCSznmSBb/7qS65rckr/Gs4iIVDv+nm64mYp/oWA0cN7L3gR5W+h9Ve0S6//TUsmVIiLVkbubieubhJZYf1VMAN7u5zcetHagB56W4hOoGof7FFmiTUTkYuLKZ1WlGThwIHFxcezYsYM777yTIUOGsGDBgnM6hsFowGguOUHWzVr4nmP27NnExcWxfft23nnnHdLT02ndujXz5s0rfFyTEaN3yYMyvK+JxKhZTEVEqqeY9iXXhTYBt1Leg5TGMwgCYoqv8wgAn4jzO66IVDglT9Vw5pBgvDp0KLYu5LFHz3vpG5OPD2HPPospOLhIXcT4FzAXUy4icrHIjYvn6Ign2H/jTRy8627233gjR58YSW5cfIWfOz09nT59+vD+++8TEFD6dNBvvPEG3bp1Y9SoUTRp0oQXX3yRli1b8vbbb5e8k9EIHkHFj7pz94dmd+bPEnU+fMKh26tFy30jodPY80/KEhERlwrxtvJA2+IfGvW+qg7B3uf3otrNZKLvNdHUDyk6c+Gga+tRy19L6oiIVFfXNw4lqJhEJjeTgWGdYs97uc1QXytv9W6B6V+zhPhYzbx+5+XnndArIlLVuepZVVpaGn369MHLy4uIiAimTp1Kx44defzxxwu28fT0JDw8nHr16jFu3DhiY2NZvHhxicecOXMmTZo0wd3dncaNGzN9+nSMJjM+gcEMf/oZrr+pBzk5NgBsNhs39LyVBwY8WOgY/v7+hIeHEx0dzQ033MDnn39Onz59GDp0KKdOnSq0rdFqwmAt+qzLvUkgljqa0VREpNoKbQTBDYuv6/oKeJ/fO3J8wuH2WUXfZ5jc4PbZ4B1+fscVkQqn5KkazhwQQMSL4wno3x+DR/7LBXNICOEvvojvTTdhMJ//qAlrdDQxn35C+Ivj8e7UiYC+9xGz+Ct8unXD6Hme2boiIlVcXkoKx557jszVqwuVZ65axbHnn6/wUX1DhgzhpptuonPnzmfdds2aNUW269q1K2vWrCl9R7MbeIdB6KX/lMV0gAe+B/+65xN2PqsPXN4bHl4FVw2ExjdDrxnwwA/56zyLiEi15GExM7B9PZ7t3hh/z/xR277uZoZ3acjjXRribT3/5fUi/T348MFWvNunJV0vCefOK2vx1ZC2DL6uPv6aPUREpNqqFeDJZw+3oWPDkIJxG5dE+vLpQ22ICT7/QRUWk4m2DYL54fH2DO5YnxuahvH8zU35dti1NA4/v9nXRUSqOlc+qxoxYgSrV69m8eLFLF26lF9++YVNmzaVuo+Hhwc2m63Yuvnz5zNmzBgmTJjAzp07efnll3n++eeZN28eVk8v3nzzLTKzspgwaTIGg4HJb08nLSODd6ZPP2usw4cPJy0tjaVLlxYqN5iMmAPdMQdYMVhMWBsHEjzwMgJui8Xko3sOEZFqyycC7v0SLrvrn6X2AuvBPZ9B1JUXduzwZvDwaug8HhrfBO2fhEfWQt1rwKQZC0WqKv12Cm6hoYSOGE7gfffhzLVhdHfHHBZWaO3v8z52ZCQBd9yB/623XlAilohIdWFPTCzyMOq0zFWrsCcmYvbzq5Bzf/zxx2zatIn169eXafv4+HjCwsIKlYWFhREff5ZRhwYjmCzQYxo4XwYM+dPNevifV9yFuPtB+GVw4yRw2s++PriIiFQLwd5WBrSL4ebmkeTk2bGaTYT6WDGbLnw8T4SfBxGXedDlkjBMBkO53MeIiIjr1Qvx5q17WnAqMxeHw4mvh5lArwufGcrdzUT9UG+e7NaYPLujXNoiEZGqzFXPqtLS0pg7dy4fffQRnTp1AvKXy4uMjCw+TrudBQsWsG3bNgYNGlTsNmPHjmXKlCncdtttAMTExLBjxw7ee+89+vXrR0hEBB9++CHXd+pEaGQk7/73v/z888/4+p59hqjGjRsDcPDgwSJ1BpMRo9WMydMN/+7RuHtqllsRkYuCf23oMRWuHw2OXLB4588cdaFM5vwB4e2GgT1PCVMi1YR+UwUAo8WCJar4m5byoMSp6iM7Lxub3YaXmxem8116S6QGc6SlnaU+vULOe/jwYYYNG8bSpUtxd3evkHMU4eEP7hU0xazBAAa1HdWB0+kkLTsPs9GA53kunyIiNYPJZCSyApfSMxv18rvayMuG3Oz8KexN5z/zmIhc/Hzc3fBxr7jrhBKnqo/07DycOCv050HkYuWqZ1X79+8nNzeXVq1aFZT5+fnRqFGjQttNnz6dmTNnYrPZMJlMDB8+nEceeaTI8TIyMti3bx8DBgxg4MCBBeV5eXn4nZH81e7aaxk5ciQTXn6Zp556inbt2pUpXqfTCVD6YAwDGIwarFEd5NpzybJnYTVasZq1LK+IlMLiVXSJvfKkxKnqw5YBjjyw+oIGZ9ZI+m2VCuHMyyMvIYG8kydx2u2YQ0Iwh4RgtGga26oqOSeZ/cn7mbd9HglZCbSNakuP+j2I8o7CaLgIHybm5UD6ccg4mT+Djldw+WSTS41n9Cl9qQejj3eFnHfjxo2cOHGCli1bFpTZ7XZWrlzJ22+/TU5ODiZT4YTI8PBwjh8/Xqjs+PHjhIe76HchOwUyEvJ/L60+4BUC3qGuiUXK5FhyFkt3HGfx1mN4uJl4oG00l9XyJ8Tn4nwoZU9OJi8xEUdmJiZfP0zBQZi8KvDGWkRK5XQ6OZ6azcl0Gzl5dkK8rQR7W5XIWZXlpEPSfljzDiTthciW0Gog+EeD+eK7V8yzOziRlkNiug2DAYK8LIT5umPUCzcRl8nMyeNkeg4J6TlYzSaCvfN/LzVrYdUVn5rNb/sTmb/uEAC9W9Xm6npBhPtdnLO+pGXncjLdRmpWLt5WM8HeFvw8L742UiqXq55VlVWfPn0YPXo0Hh4eREREYCxhUER6en6S1/vvv0/r1q0L1Z35zMvhcLB69WpMJhN79+4tcxw7d+4E8mezOpMzNxen3Y49MxNnXh72jAyorIGLcs5sdhtH04/y8Z8f88fJP6jrW5f7mt5HHd86eLldnM9w0pMSyUxNwWG34+nrh1dAICZNaCDiOrnZkH4i/x2k0ZT/jsM7XElUVVn6CTi2Bda9C7Z0uPQ/0Phm8Kvl6sgqhi0z/+cz6xS4eeS/I/cKcXVUVYJ+S6XcObKzyfztN46OehLH3+ulGzw8CHv2GXy7dsPkW/rNmlS+NFsaH+38iHe3vltQtu3kNj7c8SH/u/F/1Pev78LoKkBmEmz7FJa9ALmZ+WX+deHOufnrEGvGLbkApqAgPNu1I3PVqiJ1nu3aYQoKqpDzdurUid9//71Q2f3330/jxo156qmniiROAbRp04Zly5bx+OOPF5QtXbqUNm3aVEiMpUqLh++fg+2fw98j/QhpDHfPh6AGlR+PnNXRU1n8P3v3HR91kT5w/LO9l/QOJITei3SwCyrYUREFG1jP9rOddyrqnZ69nGdFsQF2BbuIokjvvYcS0utme//9sRKI2Q0Iye4mmffrlZfync3upO18Z+aZ57n09WUU1Trrr/2+u5Kze6fz2Pm9SW5jAVTe4mKK7rkX55o1oQtSKcYJE0i9+/9QpIiJhSBEmz8QZEuxhRveX0OJxQWAXCrhhpPzuHZkLkn6tvUe1Cb43LDze/jsusPXDq6GNbPgqnnQaWTs+tYCHG4fi3dXct9nG6l1eIFQ8NSzl/ZjWF4SaoWYcwhCtFXZ3Lz1+17e+K0AXyA058gwqXnjqkH0yjSJwMY4VGpxcuMHa1hfaKm/tmJvNX2zjLwx5STSTW0reKGszsUjX23hu82l9dPikZ2TeHpivxbN3im0fbFaq8rLy0OhULBq1So6dOgAgMViYefOnYwZM6b+cSaTifz8o6/9pKWlkZmZSUFBAZMnT474uKeffprt27fz66+/MnbsWGbNmsU111xz1Od/4YUXMBqNnHHGGfXXAm43ngMHCLrdeAMBfBUVVH7xBcobb0KRKtYC4tHmys1c9+N1+AI+ILTP8VXBVzwx6gnO7HQmKlnbmSv6fT5K9+zimxefxFpVCYBCreGUqdPoOnQEal1sAyMFoV1yWWDz5/DD38H7x7q5JgEuehM6jQZF27p/bRPsFfDdfbDl88PXClfC0v/CNd+BuUPs+tYSbBXw+/Ow8vVQli2AtN6hPXKxF0cbTCcjxJq3qIjCm26uD5wCCDqdlD74EO6dO2PYMyGSSmdlg8CpQ6xeK0+seII6d10MetWCClfA9/cdDpwCqN0P74wHy8HY9UtoE+QmE5mPPYb2TynBtaNGkfmvx5AfkUa8ORkMBnr37t3gQ6fTkZSURO/evQGYMmUKf//73+s/5/bbb+f777/n2WefZfv27cyYMYPVq1dz6623tkgfI/K6YPFzsPmTw4FTABXb4f2LoK4kuv0Rjsrj8/PO0r0NAqcO+W5zKQWVLZPyP1Z8lVUU3nLr4cApgECAunnzqPzvywScjb8PgiC0rOJaJ5PeWF4fOAXgCwT53y97WLi9PIY9EyKylcH8vzW+7vfCFze0ufG+oNLOjR+sqQ+cAqiye7ju3dUcqHY08ZmCILSEYDDIj1vLeGXRnvrAKYASi4tJb66g2CLu5+LRkt1VDQKnDtlYVMfiXRUx6FHLsbl8/PubbXy7qbTBtHjJnipu/3Ad1XZ37DontHqxXKuaOnUq99xzD7/88gtbtmzhuuuuQyqVHnfGv0ceeYQnnniCl156iZ07d7Jp0yZmzZrFc889B8C6det46KGHmDlzJiNHjuS5557j9ttvp6CgoMHz1NbWUlpayv79+1mwYAGXXHIJc+bM4dVXX8VsNgMQ8Hrx7NtH0N3w78/2yyKqZr5JwC3+LuNNuaOcB35/oD5w6kiPLHuEKmdVDHrVcuoqy/n0sX/UB04BeF1OFrz+EmUFe2LYM0Fox0o3w9d3HA6cglB2n7mXQe2BmHVLaELVnoaBU4dYDsLyV0OHAdsKvw/WvQfL/3c4cAqgbDO8dz7UFceub3FCBE8JzSro81Hz4Yfg94dtr/jf//Afpca6EH0rS1ZGbFtRugKLp/FCVatlq4CFj4Zv89hg14/R7Y/QJiky0sl69hnyvv2GTh99RN6335D17DMoYlUO7w8HDhygpOTwxuSIESOYM2cOb7zxBv369ePTTz/lyy+/rA+2ihpbGax9J3xb7f7QhxBXqu1ePltbFLH9o1WFBI9c8W/lvOVluP9I3/9ntV98ga+yMmybIAgtZ3lBFXZP+DnHCwt2UlbnCtsmxFBtYcPDC0eyFIayw7YRDrePVxftIdxQ6A8Eefv3vXh8geh3TBDasXKrmxd/2hW2zeb2sbyg7bwHtRUWp5fZKyLPBWevOECtwxPFHrWsSpubrzeG36xYta+GSlvb+VqF2IjVWtVzzz3H8OHDGT9+PGeccQYjR46kR48eqI+z7N3111/PzJkzmTVrFn369OHkk0/mnXfeITc3F5fLxZVXXsnVV1/NhAkTAJg+fTqnnnoqV111Ff4j9iyuueYaMjIy6N69OzfddBN6vZ6VK1dyxRVX1D8m6PEQ9Hob9QGg9qOP8VWItYB4U+uupcgWfr3K5XdRZI28ltUa7Vj6Gz5v+PFhycfv4xR7cYIQXU4LLHoifFvAD6vfjrh/LsTQuvcjt22YC442FHhrK4ElL4ZvsxyEyvBz5vZElO0TmlXA7W4yu5Rn3z6CLhccpc66EF0Bml64b0sb4Pg9UNlEBrSDq2DItOj1R2iz5CZTi53cO1aLFi1q8t8AEydOZOLEidHpUCReR9PR+zX7ocOw6PVHOAZBAk2MDf5AkGAQjvMgadzxlZRGbvR6CdhFBhFBiLatJZEzoxZbXPj8IjAl/hxtTtF2fmYOr58dZZE3KraV1OHw+FDKlVHslSC0b15/gNImAmu3NTGuCLERDAYJNDF0+APBo44srYnV5W3y662yuSFNrKcKJyYWa1UGg4HZs2fX/9tut/PII48wffp0IPxa1ZFmzJjBjBkzGly74oorGgQ5HWnLli2Nrs2bN6/Bv491rTvoiRy0GHS7CbpE1sJ4c7Sf7dH2QVoTv89H6e7I+xzVRYX4PG5AjB2CEDU+J1QXRG4v3wp+F8h00euTcHSBJgLagm1n3ABCVWBcTSRMqdgOeSdHrz9xSGSeEpqVVK1G3bNXxHZVl3wkGk0UeyQciyHpQyK29U/pj0l54pNqr99LlbOKGlfNCT/XCZEpIDEvcnvmgOj1RRCEEKUOFNrI7UlN/M0KMZGgUzKhb0bE9omDc5BKmyFyylUH1jJw20/8uU6APD2tiUY5Ul0Tv7+CILSIftnmiG05iRoUMjHVjTumHJCrwrcZ0kGbdMIvEQgEqbS5qbK5CTS1A93CtEoZnVMiL4Z2STOgUcqi2CNBEJRyKdkJkdej+mXH9uCL0JhZq2Ti4OyI7ZcOziZBe+JBqHa3jwqrG6srfHaZaNGrFU0ePknSRRhDBSHOrVu3jrlz57Jnzx7Wrl3L5MmTATj//PNj3LOjk6gi/91JNBqkYp8j7pjVZtK04ddwFFIF2YbI48pf4bR5cNS58cfw0I5MLic1t3PE9oT0LORKcVhDEKJKoYWU7pHbM/qD7PgyLwotqP/kyG29LwZN4om/htcV2udw1p74c50IuRpUTQTVJneNXl/ilFhRFpqVRCbDfOlEUCjCtqfccgsyvT7KvRKOJkWTwuQejQcHtUzNP4b9A5P6xBYRD1oP8vL6l5n6/VSmL5jOvN3zqHBUnNBzHjd9Kpz6j/BtCg10PTu6/TlGocU8F3XO2C7mCUKL0KfBkOnh25LyQ5utQlxRyWVMH9OZFH3jhcTR+cl0STvBsd5ZC/t+h4+uhLfHwryboXQTeGKT4UmRmooyPz9sm2nCBORJJ77h3xIcdRbstTX4fb6jP1gQWpnBnRIwasInUr77rG6kGsViVNzRp8K4/zS+LpHCeS+DIXJQ7rEornXy5uICLn9jOZe/sZy3luylpDY22QC0Sjk3nxJ+3JBI4PpRuajk8Rc85fL6qbC62lQZLEE4JNWg5u6zuoVtM2kUDOqYEOUeCcfitO6pdEltPLfonKLnjB5NHHA4Bg6Pjy1FFv7v4w1c8tpSbv5gDSv3VmFxxuY9MFmvZGzP8OXT+ueYSNLH5wZ4rcNDhdWFyytK0AiRPfPMM/Tr148zzjgDu93O4sWLSU5OjnW3jkqiUCCJEHySeOWVyFJSotwj4WhSNak8OuJRpJLGW5/3nnQvSeoTW7+x17rZuqSY+S+s5/Nn1rLyq73UVcYuA1mPUacgk4efF4+4dDIagzHKPTo6r99PhdVNtb2JKgSC0FqpjXDK/eHbZEoYOAVk8bcW0O6ldIPOZzS+rkuBkbeD4gTWGH3eUDWkb++BWeNgzkTY8R3YY1T615AOw24O36ZPg+Qu0e3PMbK6vFRYXdjdLb/PIQm24npcdXV1mEwmLBYLRmP83QS0VwGPB+e69RTfcw++8nIApCYT6Q8/jH7MaBE8FaeqXdVsqdzCW5vfotpZzdCMoUzuOZlsfTZy6fFX+CysK+SKb6+g1l3b4PrwjOE8PvpxkjUxmCg7qmDNO7DoP6EyfhAaMC59HzIHgix+Kpo6PD4KKuz89+fdbCm20CFRy99Oy6dnpgmTJnyQYjji/fKwpr4XLpeLvXv3kpubi1otNl0jaZHvk60MFj0Fa2cdTpOaNQgueRsSOjXPawjN7mCNg09WH+SbTSVolTKuGdmJkZ2TTyxoweOAte/C93+aaEqkMPkT6Hx6TOoBegoLKbr9Dlxbt9ZfM5x1Jmn//CeK1NSo96cptppq9q5bxbrvv8brcpE/ZDj9zjwHU2oakr/wvRNjR4j4PsSnYDDIjlIrN89eS0FlKDudWiHljjO6ctngHBJ08bnB2O45LaEU4L89A7V7Ib0vjLoLkjqHDjIcp+JaJ5NnrmBvZcNMhZ1T9Hxw3RAyzNHPCmBz+1i4tYx/fLkZ2x+LO0a1nKcn9mN0l2S0yviZc3h9AQ5UO3j9tz0s3VNFkk7JTad0ZnCnRJLDBEpHIt4vDxPfi/hUbffw8aoDvLBwFy5vKFNEXrKOVyYPpFu64S/dJwnRU1Lr5MetZXy46gDBIFx6Ug5n904nw3T87+2BQJBFO8q57r3V/Hll/LHzezFxcA5qRfQ3tkosTh74fBO/7Dh84HBgRzMvXT6A7IT4ynZbaXOzel81r/1aQKXNzYjOSdwwpjMdErUo5Md+Xlu8X4aItar4FfB48BYWEnA6cQcCHKiowLx+PZlTpyJvBQFg7ZHL5+KA9QBvbXqLbVXbyDJkMb3PdPLN+RiayrZxFHaLmwVvbaFoZ22D6xqDgovvG4wpOfpzDr/XS/HO7Xz94pM4LKF+yRVKRk++mh6jT0Wjj6+SfQeqHXywfD8/bClFo5Bx9YhOnNo9lbS/uI4oxo4Q8X2IUy4r7PoRvrkLXLWha4YMuHgmZA8BuVivikvWUtj7Gyx/Fbx26HE+DLgSEjqe2POWbIC3zgLfn0rInzQNTvsHaGJwiMdWDr88HtqDOVSWMCkfLp8TCiSLIxanl23Fdbz08y4OVDvolWnkb6d1IS9F95fW1f7K+6UInhJaRDAYxFdWjr+mmqDfjzwpCXlqKhIRURv36tx1eANeDEoDStmJDeIun4vHVzzOF7u/CNv+9llvc1LGSSf0GsfN6wwNELby0M2KLiV0AxNHi6XBYJBFOyq49t1VjRbzHprQk0kn5aA5xsFBvF8eJhakTlyLfZ/cdrCXg7MmVMpPmwy6+MzoIxzm8weodXqRSSXNUjaDmn3w8mDwh8m0Z8yE6xeG/hsDvupqfFVVBGx2ZGYT8qQkZHH2nmqrreHbl56mcMvGBtc1BiNX/OtZzOnHntlFjB0h4vsQ3yqsLqrsHtzeAEk6JSkGFaoYbHYKf5HbGrofV+pBeWKbwcFgkHeX7mPGV1vDtj9+YR+uGNrhhF7jeHn8firq3FTYPEiAZIOKNIMKeZyVldxSZOGiV5fi9jUsOzJpSA73jeuO+RjHd/F+eZj4XsQvtzeU7aDK7kGlkP4xdoi5X7wLBoPUOLxAkASt8oQD3UosTs777xIqbI2zXqjkUn6662RyEmMTrGRxeKi0eah1ejCoFSTrlSTGWcm+WoeHp77fzpyVhQ2uq+RSPrtpBL2zjj2DvXi/DBFrVfEt6PMR9PlwOZ3sO3iQTtnZaBNExsJ45/Q5cXgdqGVqdMrIJbWP1YGtVXz10oawbb1PzmLkJV2QK6J/nx8MBLDVVOOw1OL3+dCZE9CZE+KuZN/+KjsXvrKUanvDDI/D8xJ5cdIAUv/C/ZgYO0LE9yGO+X1gLQFHJUhloX2OONt/FCJwVIcO92sSTjzRhqMKZl8KRavDt9+8AlKbKPPYktzW0P64o+rwXpzhxDL7Njenx8dHqwuZMb/hep9EAm9NGcyp3VOPeV74V94v4+eoo9CmSCQSFOlpKNLj6w9NODqjqvlusixuCz/u/zFi+5d7voxd8JRCE4oYPtGo4RZUVufivs82NgqcAvjPt9s5s0caOYnibVxoQ1Q6UOUCubHuifAXyGXSv5SV4qiq94YPnAKoKwZndcyCp+SJicgTm6HGeQuqKtzfKHAKwGmtY+X8Tznt6unIlfG1+SIIJyLFoBab3q2RyhD6aAa1Di+frDkYsf3j1YWc0yf9mAOAmpNSJiMrQUtWnGULOVKNw8OD8zc3CpwCmLuykGtG5MbkeycILUWlkJGdqCU7RoExwvGRSCQkNmNWyRq7N2zgFIDbF6Co1hmz4CmTVokpzt93y+rcjQKnIPS9e3DeZt6++qTmOVgjCHFCIpcjkcuR/vH/Uk30MwwJf51GrkEjb56fVTAQZPvSkojtu1aXMWhcR/QJ0Z+bSqRSDEnJGJLiNxOay+vntUV7GgVOASwrqGZnme0vBU8JQtyTycGcE/oQWhdtM679uyyRA6cA9i2OXfDUoXW5pM6xef1jUGnz8Pg32xtdDwbhvs83Mf/WkSeUjTiS+DruKAhCmyOTRD75r5Aee9m59qjG4aXcGn4xz+MPldYQBEFoc6RHyxgjbl8jCQaDbPl1YcT2HUsX47Rao9gjQRCElieRgFwa+aSZTCpBKk53RlTn9LJ2f23E9t93V0avM4IgCFFytGFB1sS4IsDSPZHHhnUHaqlzRjgMIwiC0IpJm8geK5VKREaZJtQ6PHyzOXLw2aerC2nFRZIEQRAiOMq4IBXJMZpysMaBx9/4oB9AhdX9R2bi5id+KgLe8nICVisSuRyZ2YzMdOyplQWhKQnqBM7rfB4fbPsgbPsF+RdEt0NxzOqxUu2qxuVzYVAaSNGkcLS1uqY2iQShRQUCEPBBdQFoDWBIB5kIhhSaibljKDug19m4LTGveU9/tGLBYJAKRwW1nlpkEhkJqgQSNYnI5JFv70NtYuwQYqPK5qbW6UUCmLWKuCs/I7ReZq2SK4d1ZMOnjbPuAUwZ3hGjRtynADg8PiqtbuwePzqVnFSDCskf+zyR9ioUchG0LMSG1x+gvM6Fw+NHrZCRYlChFmVZhWaSqFOSnaDhYE3jOYdWKSPDJLJfHFJudVHr8BIMhu7h0oxqFE0EEITGFTHnEGIjEPARDPqBIBKJDKk4uCs0E4lUQs9RmexYURq2vceIDDQG8fsG4PGF7uGsbh9apYwkvRKQIJdGHjuUcVbWXGhHAoFQeT2PFWRq0CWDSh/rXglthSYBcsfA3t/Ct3caFd3+xDN7FTirQhVJ1GYwZBz1QEtLbZGL4Kl2LOBw4FizhtJHHsV7MFTmQDtsGOkPP4QqV5RMEk6cUqbkqp5X8fOBnym2FzdoG583ng7GDjHqWXwpshXxr2X/4vfi3wHQKXTc0PcGzsy+mA6J2rAZpjQKGVkJIkW0EAN+D9jKQpOK7+4CrwVG3QkDrwJdSqx7J7QFhnQ473/w+XUNd3LlKrjgtVB7O+fwOlhZupLHlj9GuaMcgK4JXfnP6P/Q+9Qz2fzLgrCf1/OUM9CKIHkhyry+ANtK67j/s01sLakDoFemkf9c3Jce6QbkYpFUaAZjuqTQP8fE+kJLg+uDOyYwLC8pRr2KL2V1Lp76fjvz1hfjCwRRyqRcMbQDN5ycx5guKfy6syLs543oLL5/QvRV2tzMXXGA138rwOb2oZJLuXxIDjefkk+aUQS1CCcuzajm+Uv7M3nmiganmSUSeGZiP1KNIsjb6wuwqcjC3Z9soKDSDkB2goZnJvZrcmwdnZ+MWQQtCzHg97twuYrx+0O/r1KpErU6E5lMh0Qi5hzCiTOna8kfnMru1eUNrhuTNfQ+ORuZmNtSaXMza8le3vp9Ly5vAKkExvVKZ8Z5vbhkUDZv/FYQ9vMuPSlHBN4K0eesge3fwk8Pg70iVA2h+3lw1mOi3J7QPDRmOOcZeOsscNU2bDv9IdCnxaJX8adiB3xxIxSvDf1blwLjniQz8yy0ShkOj7/Rp3RI1LZYmXARPNWOuXbupHD6DQ02Jh3Ll7P/qinkfvwRiszMGPZOaCsy9Zm8c/Y7/HbwN77b+x1auZYre15Jt4RuJKpF9pAKRwU3/XQTey1766/ZvXaeW/McKZoUnr9sBFe8uQK378+LeX1JNYjFPCHK/D6oLQzVaj40drjrYOEj4HPBqP8Dhfi9FE6QXAVdx8INi2HF61C1C7KHwKCpYBZBtwC7a3dz28+3EeTwPdzOmp1M+W4K88d+Ro/Rp7Jt8S8NPseUmsbAseObzEwlCC2hsMbBxNeWNbiX2VJcx8TXlvL97WPolKyLYe+EtiLNpOa1Kwezen81c1YcQCKByUM7Mqhjggi0IFQm459fbGbBtrL6ax5/gHeW7kMmkfDPc3uw4WAttX9KeX73WV1JEXMOIcpcXj9v/b6XVxftqb/m9gV4d+l+yixu/nNxH8wttEgqtC/9Opj4/o7RzFl5gPUHaumcqufqEZ3omKRFKRNZzgprHEx6c3mDe7iDNU6unLmCH+8Ywz1ju/H0DzsafI5Jo+ChCb1Exkch6gIBDw5HwR9Zp468tg+trjNymTaGvRPaCq1ByehLu9BjeAYbfinE5w7QdUgaHXolYUgUcw6PL8CsJXv53y+H7+ECQfh2cynVdg9PTezH95tLGx0Uv7B/JrliXUCItmAQdv0I824+fC3gh61fQOVOuOpzcYBXaB7JXeGGX2HTp7D7J9Cnw/CbIakLqI2x7l3s1R6AWWeDo+rwNXsFfHYtqdf9yjMT+3HLnLUNztir5FKeu7Rfi633id2TdspnsVD+zLNhc/P7Kyuxr1iJ+cILot8xoU3K0GVwWbfLODf3XORSOWq5mEwcUmgtbBA4daSnVj3FpxM+5/s7RvPRqkLWHailc4qOKSM60SFBi1IuFvOEKAv4QsFS4Sx9CfpPhoSO0e2T0Dap9JDeB859LhSYp9CCTNy2AtS56/jvuv82CJw6xOa18V3pT1x81XX0Ovl01n43H6/LRfeRJ9Op30CMySI7nBBdhxZPj9x0O8TlDfD+8v3cf3Y3FGKDUmgG6SY14/tmcmq3VCSAViXGjUOq7J4GgVNHemfZPq4d1ZGvbh3FNxtLWLSznFS9imtG5ZKbrMOoFhvgQnRVWN28/Xv4OfL3W0q5Z1w3ETwlNAulTEZeip77x3XH6fWjkstQilKlQKhs5uwVB8Lew/kCQV7+ZTcPnNuDEZ2TeHvJXirq3JzcLZXxfTPIFlnShWY2Y8YMvvzyS9avXx/xMT6frUHg1JE87jKk6hykUnFvKJw4rVFFh14qMrqYCfqDKDXi9+qQ8joXb0W4h1u+txqX18+H04fx264K5q0rRqeScfWIXLpnGEjSiwMbQpRZS+CnGeHbyrdAzV4RPCU0D4kEEjqFqrcMmR46OC4X73n19v3eMHDqCMpvb+OUK77iu9tH897SfeypsDOgg5lLB+eQndhycw4xI2yngk4nrk2bIrbbFkeovykIJ0Cv1IvAqT/ZVbMrYluNuwa7z0qnJB1Th3fin+f25OJB2WiVckQWW+HPZsyYgUQiafDRvXv3Jj/nk08+oXv37qjVavr06cO3337b9Iv43ZHbvM7IgVWCcLzkytAJDBE4Vc/pc7KtelvE9hWlK1DotWR26c6pU6Yx8rIrSe/cBalU3PYL0Wd1eVm5tyZi+/KCKmyu8JscgnC8dCq5CJz6k0pr5Hs4fyBItd1LTqKWiwZl8dD4Xkwd2YkErRKZVEw6hOizOL1hAzYOKal1RrE3Qnsgl0kxqBUicOoIDo+ftfsj38NtOFgLwVAp5nvHdufecd0ZmZ+EXCoh0PiMhyA06ZRTTqlfx1Kr1fTs2ZNXXnnlmD8/GAzi81kjtvv9DqDhuPLn9bNDHx9++OHxfhlCO6NQykTg1J9Y3T5c3sj3cHsr7WSaNVySb+Dt05J5sY+ck2R1JPjEvZ0QA14H1BVHbj+4Nnp9EdoHqSy0zyECpxratzhyW+kmtAEb+Sl6bjk1n7+f04OxvdJD87YWnHOI0b2dkshkyFNS8B48GLZd2alTdDskCHHAbnFjq3ZRW+HEmKjGkKxGb27ZYK9MfeTymGqZGq1Mx6aDFqa/v4bSOhcACpmEm07J5+oRHUnUiYE2XrnsXpxWDx6nD6VGjsagRK1r2ZP7vXr14qeffqr/t7yJ8lxLly5l0qRJPPHEE4wfP545c+ZwwQUXsHbtWnr37h3+k452Sk8hTpgK7YvP48FeW01l4X68bjepnTqjM5lR6Vou3bhSpiRDl4HFbQnbnmvMxWdzsPrrL1nzzRcE/KHAFENyCuff/U9SO+YiEYFUQpSoFVLSTSp2lIXfzMg0aVArRNYpoX2ptnkotbrYWWYlRa+iU7KODKMaaQsGKpmOUj7JqFFQUGFj+vtr2F1uA0KHIy8akMX9Z3cnxSAOwAjRo1U2PS6YNCLrlNC++PwByupcFFTaqbJ76JFuIMWgJlHXcn8LarmUnEQt6wprw7ZnmTUEgU/WHORfX2/D6Q3NORK0Cl6aNIAhnRJRiXu8uBSLtapjMW3aNB599FEcDgfvvfcet9xyCwkJCUyaNOmonyuRSJBKI/89SCRyoPF91qxZsxg3blyDa2az+a92XRDik7MGbBVQuimU3T2lRyiLjrzlxg6tUoZUQsQg2nSjCm9xMUX33Ydz1erDnzd8GJlPPIEiXWT5EaJIpgS5OlTxIBxzTnT7IwjxoK4YqvdCXREkdwFjFuhTW/Y1k5tIAGHKwSnRsGxXJXd+tB6L0wuExptHz+vF2N7pGFogW7oInmov3Dbwe0NRjdJQ4FTS9OmUPvRQ48dKpZjGj49+HwUhhuoqnXz9vw3UlByuuW1IUjPhtv4kpGlb7HXzzfmYVKawm+AXd7kYt1vH5W8uxuE5nJXB6w/y0sJddErSctHA7Bbrm3D8bNUufn5/O4Xbquuv5fRI5LSruqNPbLnNJ7lcTvoxTjRffPFFxo0bxz333APAY489xoIFC3j55Zd57bXXCAaDBANBkEgOb+bJFKEPn6fxE+adCtrk5vpSBCHueVwuCtau4vv/PYvf56u/PuDs8xh20WVojaYWed0EdQI39ruRO365o1GbVCLl8m6Xs2vFMlbN/7RBm7Wygk8efYCrnnoJU0pai/RNEBweHx5vAJ1ahkImQ6dScNMp+fy6szLs4284OQ/NUTbJBaEtKbW4+L+P17Nkz+GU5CaNgveuHUKfLFOLBVAl61V0TdOzs8zWqG14XiJSiYQr3lpB0REZfYJB+GxtEcl6Ff93VjeRkUVoMbUODzKppH7RM1GnZGhuIiv2Vjd6bE6ihlSjOEAktB8+f4C1B2q59p1V2NyH5xxn9Ejl8Qv7kGpsmfUFlULGtNG5zN8QPiPDHWd2YU+FjX98sbnB9RqHl2tmreLHO8eQl6Jvkb4Jxy9Wa1VWq5Ubb7yRL7/8EqPRyL333su8efPo378/L7zwAgBarbZ+PWvGjBnMmTOH+fPnhw2eCgSDvPnmTF54/jn27t1Lp06duPXWm5gy5TQAbrnlIdat28Ivv8xFpVICZgYNGkKfPn1477336p/HbDYf8xqaILQqtnJY+Cise//wNYUGLnkH8k4BRcv8vSfplYzrlc63m0sbtWUnaMhT+Sn6v4aBUwCOZcspeeghMp9+GrmpZdbSBAFXHQT9oEkI/VufCgOmwKo3Gj9WqYPM/lHtniDEXPk2eP8CsB7xHp7eDybNAVML7kP3GA+/PBaKYfmzMfdy0Kng+neXNQjMdXj83P3pRvJS9AzsmNDsXRKrX22dvQJ2/wQfTYYPLoTFz0LNfgAMp52K6cILGzxcolCQ9dxzyDMyYtHbFlXn9FJicVJudREMihzSwmEuu5ef3t3aIHAKwFrl4ttXNmK3NFGq7ASl69KZeeZMktRJDa6PyRrDtL7TWLKnqkHg1JGe/2kn5dYIkfFCzLjs3kaLUQCF26r5+f3tuOxhbgKaya5du8jMzCQvL4/Jkydz4MCBiI9dtmwZZ5xxRoNrY8eOZdmyZfi9ARwWD7XlTuoqnLidPgL+QOhERmJnkPwp9jqlO5z3EmjMLfBVxU4wGMRWU421qhKXwx7r7ghxxlpRzjcvPdUgcApg3XfzObB5Y4u+9sDUgUzrMw2p5PCtvEau4bmTn8PgVbL8s/ClBtwOO8U7trdo34T2yeL0snZ/DXd+uJ4r317BE99uZ2+lHZ8/QPd0A3ef1bVByWGpBO4f14381La3qeZw+yixOCmrc+H3Ry5ZILQ/Lq+f//28q0HgFIT+fq6cuYISS8uVq0g2qHhzymDykhtmRuyVaeSZS/tRXOtsEDh1pPeW7RdzDqFFlNQ6eX/ZPq6ZtYpr31nF1xuKKa9zYdYqeWZiPzr/KfAi1aDi7aknkdZCwSKxVGl1U2JxUmMPc0hFaNdKLC6mvL2iQeAUwE/bynlv2T68LXiv0SlZx5MX90EpOzznkEsl/PPcHmQnaHluwY6wn+cLBPloVSF+Ub8vrsRyrequu+5iyZIlzJ8/nwULFrB48WLWrm26HJJGo8Hjafie6A8GcfoD/Pedd3nw4Ye446EZrNu8hX/9+988/PCjfPLJ74CEJ5+8H7vdyYwZL6BQJDBjxlPU1tby8ssvt9jXGG0+rwdrdSXW6kp8XjF2CEcIBmH71w0DpwC8TvjoCrCEr0TTHPQqBQ+O78mQTokNrmcnaHjnmpNQWi2NAqcOsf+2GH9148B5QThh1lLY/DnMuRQ+uBhWzgRLUSjr1Og7odPoho9XGeDKL8AQuWJMa1Vj91BicVJpbbn9TqGVqisO/X1Y/xT8WroBvr07FHzYUkzZcMUnob+9QyQSOGka3m7jeW/Z/ogZDV9cuAurq/nvYUXmqbbMXgULH4O17x6+VrwOVrwG1y1AntyZ1PvvI+m663Bu2oRUr0Pdowfy5GSk6razGOXy+tlTbuOpH3awal81iTol08fkMa53Oqmi/IAAOK0eSnaFL39UW+bAafWgM7XM6VaJREK3xG58NP4jiu3F1Lhq6GDsQLI6GbPazJaiyHWXC6ud+PxiMSreOK2eRotRhxRuq8Zp9bRISvShQ4fyzjvv0K1bN0pKSnjkkUcYPXo0mzdvxmAwNHp8aWkpaWkNs8+kpaVRWlpKdak9lHXqDx6XD7Vegd6sQqrQQEInqPXDqQ9Bai6YO4ChbWWysdfWsGvFElZ99QXOOgtZ3XsyatIUErNyUCjFaff2LhgMsvHnH0KLUmGs+OIjOvTu26LZp67rcx0X5F9AgaUAlUxFR2NHkjXJOKtqsNVURfzciv0F9Bh1cov0S2if7G4fn64p5LGvt9Vf21xUx+wVB/j4huH0yzFz9YhOjO+byYaDtUiQ0C/bRJJBhV7Vdqaj/kCQfVV2Xlq4i4XbytEoZUwe2oHLTsohwyTK2gpQaXPz8ZrwmxVWt49tpVayElou423HJB0fTh9GqcVFSZ2LbLOGNKOaZIOKJbsijxtOrx+XN/xhDkE4XsW1TibPXMHeysMHFFbtq2F4XiIvXj6AnEQtc6cNpbDGyZ4KGzkJWjolackwt63302q7m2V7qnjhp10crHHSLd3AveO60SfThOEo5TaF9mH1/hpc3vABUu8u3c8VQzuS2UJ/Fwa1gvP7ZzGiczIFlTYCgSCdUw0k65VYnT72Vjoifu7Wkjo8fj8aadu512vtYrVWZbVaeffdd5kzZw6nn346ECqXl5kZflPa7/czd+5cNm7cyPTp0xu02Xx+9jk9PPvYY9z17ycYdu4EPMCZ53Xkjq1beeut97nmmuvQaJy8++5MzjhjAomJHXnxxZf45ZdfMBqNDZ5v0qRJyGQNs+Bu3bqVDh06NN83oAVYystY/c0XbF+8CIDuo09h8LkXYkptW+tywnGylcHi58K3BfywbT6MvqvFXj7DrOHVKwdSbnVzoNpBqkFFhklDukmNo2h3k58bsDXOkisIJ8RaCp9Ng32/Hb5WtAZWvAJT5oeCNibOCgWOlG4OZaNK6Q6GDJC1nXsYq9PL5mILT36/gx2lVrITNNxxRheGd04iUSf2OQRCAYV1ReHbdn4PjspQZbOWIFdBx1Fw0zKo2RuqpJbSDXTJuNCyo8wa8VMLKm04vf5mL93Xdv76hcbqDjYMnDrEUQU//wvOfxm5yYTcZEKV3zn6/YuSzUUWLntjef2JJ4fHyUPztrBkdyVPXNRHDA4CXnfTmwFuh6/J9hMlkUhI06WRpms8ye2XY+aDFeGzB3VK0qKQiQSC8cbjbPr35Wjtx+vss8+u//++ffsydOhQOnbsyMcff8x11113TM8RKtVHg8CpQ1w2LxqDEqkMkP9RE7zLedCGgm0PcdRZWPjWq+xaubT+2r4Na9m/aT2XzfgPWd16xrB3QjwI+P1Yykoittuqq/D7Wu7kLoBOoUOn0NHB2HBh1yOXY0hKwVpVEfbzUnPzW7RfQvtTaXPz72+2Nbru9gW477ONzL5+KEl6FXq1gk5/ynrTluyrsnPef3/H/kfGUJvbxws/7eLHLaXMunoIaaa2N14Kf43bF8Dti5whpDhC5qfmlGpUk2pU0/dP13NTIv9t6pQy1ApRXlNoPv5AkC/XFTUInDpkWUE1Gw5aOLOnuv73dVALpOGPB3a3j7d/38fLvxzeSFxfWMsVb67ghcv6M6FfJrIWKuUptB4HqiJnQLa6fS2aeQpArZCRk6glJ7FhcK/PH6RLqp6KCJkL+maZUMnE2BFPYrVWVVBQgNfrZciQIfXXTCYT3bp1a/C4V155hZkzZ+LxeJDJZNx5553cdNNN9e1BoNDlwWm3U7i3gEduvZlHb7u1vj3g82EymZBKlUilSsaMGcvdd9/Nv/71b+677z5GjRrVqG/PP/98o4zskYK64oWlopwPH7q3wYGp9d9/ze4Vy5j02NMYU1Jj2DshLgT8YI28XkXlrhbvQpJeRZJeRY+MhhvtsqOU5JPqGx/+FYQTUry2YeDUIVV7YOPHMPJ20KWEPjL6Rb9/UeAPBPl5ezm3f7S+/tquchu3zFnH307L58aTO6NrQwcbheNkD7+PAIQOj3siH5poFnIFmHNCH0dQ+wP0yjCycm/4AwBdUg1olc0/5xC77m3Z1q8it22bB86a6PUlRqpsbh6atyVsqugftpRRahHlBwRQaRVIZZEXJbUmZRR709CwvCSM6vA3L/93VjdSDCL4L94oNU3fbB6tvbmYzWa6du3K7t3hT/Wkp6dTVlbW4FppaRkpyZEXWtwtmMY9ntiqKhsETh0SDARY+NarOOrCZ6oT2g+ZXE6H3v0jtqfl5aNUxyYzgi4hkRETrwjbptYbyOjSLWybIByvLcV1EdMnby+1Uuts+2OHw+3jpYW76gOnjrS1xMrmYjFuCKBVykjWR55X9MxsoVN8x6BDopYOieGzXl0zMpdUMecQmlG13cMnEbKwAcxesR+Xt2UPMMWDSpubV3/dE7btka+2UFYn1qsEGNhE8GBOogZNjIJbjRoFd57ZNWybUiblksHZSEXwX1yJl7WqSCZPnsz69evZu3cvdrud5557Dqn08NZVEPAHwWEPZaZ58KWX+WjxsvqPVRs2sHz58vrHBwIBlixZgkwma3JdLD8/v8GHXB6/G8jBQIAdS38Lm2naVlPF9qW/EQyIsuHtnkIDGX8+KnGEvFOi1pU/kyUmoh0xImyb/rTTkCclhm0ThOPidcLqtyO3r3sf7JXR60+MlNW5mPHVlrBtryzaQ5VNlPATCFWaiUShBVVs1qsUMimTh3VEHmFecdvpXdCrmj9zqgieasuC8Zta31rtYtfqMn55fxtrf9hPbZkDXwuUArC5fWwtiVyLc+meyOUJhPZDa1TQ++SssG2dB6agaWKTo6VlmTV8OH0YHZMOb2aoFVIeOLs7o/KTY9YvITKNQUlOj/CTvZweiWgM0fl9stls7Nmzh4yMjLDtw4cPZ+HChQ2u/fTTTwweeFI0uveXuR0Oqg4eYOnHs/nxjZcpWLcaa3XLvIcXbt0Usa1i/17cjsinf4X2o/Pgoah0YTJ1SCSMuvwqVNrYZNiRSCTkDRrCiEuvRKY4PHlIyMji0oefwJicEpN+CW1XhOqVRzwgKt0Iq8ziYtGOcv7++Sae/XEHO8usWF3NH8xlcXlZuK08YvuX64oIHvUbJbR1aQY1/3dW+ADW7umGiMFL0ZBmVPP+dUPonXV4QUwulXDV8I5MHdEJpVxkDxGaV6Cp98Rg7IYOt9fPvko7r/+6h/s/28j89UUU1bbMKdvCGmfYg34ANQ4vtY62H3wsHF2XtMjjw9/P7kGqMXaZLbulG3ju0n4NDvylGVW8f/0QshLaVonNtiBWa1V5eXkoFApWrVpVf81isbBz584GjzOZTOTn55OVldUgaOrPklLTSMnIoGjfPjp07lz/0Tk/n9zc3PrHPf3002zfvp1ff/2V77//nlmzZjX/F/eHKmcVa8vW8u/l/+bpVU+zpXILta7aZn8dl93GjmWLI7bvWLYYl12UPWv3tIlw5r/Ct+lSoGP44KVokJvNZD7+b3RjxjS4rj/9dNIfehCZMXaHSYQ2KniUgNJYxXkH/FCzH1bPgnm3wqq3oWZf6Hozq3V4qIkwr/AHghyobuGMQkLrYEiD3FPCt424LdQeIzkJGt65ZkiDRCJGjZz/ThpAfqq+RV4zfkPphRPX83z4PUJ9427jQW2OancOqS138MWza3FYPPXXls8r4Jwb+5DTMwFZMy7MSiUSpBIinobXi3SEAqBQyRk0riNypYyNPxfi8wSQyiX0GJHBSefkotY1f+TqsZJKJfTMNPHJDcOptntw+wIk6pSkGlSoRPmMuKTWKTjtqu78/P52CrcdTieZ0yOR06Z0b7Hfp7vvvpsJEybQsWNHiouLefjhh5HJZEyaNAmAKVOmkJWVxRNPPAHA7bffzsknn8yzzz7Lueeey4cffsiaNat57skXI76GShubvwW308G2xb+w8O1X669tWvg9STkduej+Gc0eDNJUxiCJRIqkiYU8of0wpqRy+SNP8ePr/6Vk13YATKlpnHH9LSRldzjKZ7csrdHESRMuoufoU3DW1SFTKtEaTejMbbPsjRBbvTKNEe+3u6bpMcVo7CiudXLNOyvZUXp4A+G/P+/m4Qk9uWRQNgZ18/VLKpGgUcqwucNnSjFoFEgkIvtCeyeVShjXKx2fP8CzC3ZS6/AilcBZPdN5cEJPUg2xLe3YMUnHu9cMocruwenxk6BVkKxXoRVzZqGZJWoVXDwwm+cW7AzbPmloBzSK6P/eefx+lu6pYtp7q/H9Mah9uKqQFIOKj6YPIy+leRdm1fKm5xTyJrJjC+1HulHN7OuH8tC8zSzaWUEwCMl6Jfef3YMRnZNi2jejWsGEfpkMzU2k2u5BKpWQpFORZlSJ+544FKu1KoPBwNSpU7nnnntITEwkNTWVhx9+GKlU+pd+TySATBLKPnXT3//JU/fdjd5oZOQZZ+LzuFm5ZRNWi4W77rqLdevW8dBDD/Hpp58ycuRInnvuufo1sLy8vPrnrK2tpbS0tFF/deEOSUVQ4ajgwSUPsqR4Sf2197a+x2XdLuOW/reQoG6+ObhUJkOhiny/qFCpkYhymQKEMk9dPge+vQfqikLXOo6ECS82KokUbYr0dLKefgpfdTUBmw2pwYA8KQmZQZTsE5qZQgODroXdC8O395sE2hglJyjdCO+MB88f61Xr3gelDqZ+DVkDm/Wl5EfZx1CLPUYBQJsEF74KP/8LNn0Mfi+oDDDidhh8Nchjl41cpZAxonMS828dSZXNQzAYJEmvItWgQi5rmX06sQrWlplyoO/lsPHDhtc1CXD6Q6BqmYi8prgdXhbN2YHD4kEqk5DXP4VOfZORyiQUbq8mMUuHMan5Ticl6hSc2TOdH7aUNmqTSkIl0QQBQGtUMeTcTvQanYnP7UeulKE1KpG3QL3U45FqVMf0RKHw1+gT1Zx1fS+cVg8epw+lRo7GoGzRQLyDBw8yadIkqqqqSElJYdSoUSxfvpyUlFBg0YEDBxqc3hsxYgRz5szhn//8Jw888ABdunThyy+/5KThA6kpdRD80y64WqdAJo/NAqi9uro+cMqQlEKf084iMTsHt93OzpVL6H/mOcgVzXdKMrtXHyQSKcEwp1PyTxqK1mBqttcSWi+JREJyTkcuvO8hnFYrgYAftU6PPiE+0ozLlUpMqemYUtNj3RWhjUs2qLhnbDee/H5Hg+tKmZQnL+5Lsj76E2yPz89bvxewo9SGRAJjuqQwvm8GGqWMrcV1VNo8zRo8laxTMnlIB15YuCts++UnxXaBWogfCTolVwzpwOk90rC5fajkUpL0yhZJM348kvQqkmLwNyu0LzKZlEsGZfPJmkIKq50N2gZ1TKB/jjkm/Sqvc3PT7DX4AkEStAomDs6hb7YJty/AJ2sKuWFMZ8za5ptzZJg1GNVy6lyNA2/zU/Uk6mKXAVuILzmJWl6aNIAqmwePP4BBJSfNqI6LsngKmZSsBC1ZCbHLnigcu1isVQE899xz3HjjjYwfPx6j0ci9995LYWEhavWxr3NKgGy1kv1ODxdNvRq1VsO7L77A8w/+A51OR98+fbjjjjtwuVxceeWVXH311UyYMAGA6dOn880333DVVVfx22+/IfsjwOiaa65p9DpPPPEE999//zH3a0nxkvrAqX7J/Zja6UqSlInssRVw0HqwWYOnVFodA885n6Lt4csvDTznfNQxyoAtxBmVAbqfC5kDwWUBmSKUkUoTHwfqZCYTMpNYWxWiIHsw5AyDwuUNryd0gv6TQBqDvT9rCXw8JRQ4pdRBn4mQOyaUJWvjR2DIAGP4SiLHI1GnJD9Vz+7yxpkJjWo5GWaRLVT4gzETznkGTr43VPZSqQdDemgMiTGpVEKGSUOGKTq/ryJ4qi3TJcFZj0GvC2DpS+CshW7nwMCrwNwxJl1y2rwUba9Ba1Ry2pQe7Flbzq9zduD3BujQKxGX3Yc+IdhsCwA6lYJ/nNOdDYW1lNa5GrQ9flEfUg1iYVg4TKaQNWvwntC+qXWKqGYt+/DDD5tsX7RoUaNrEydOZOLEiQ2uBYNBEtJ1uOwe3A4fUqkkFEiokiFtoUjuo9m9OjTB6TH6VDoPPIlVX3/B0k/noDOZ6X3aWdhrazClNF/qUJ05kTOn38qPr7/U4Lo+MYkxV16LUiPeJ4TDNAYjGoNILS60X3qVnElDOjCwYwKvLtpDSa2LwR0TuHZULjkxuq+qsnuYu7IQjULG85f1Z9W+av797TYsTi+DOyYwuksyGSZ1s52wk8mkXDYkhx+3lrK1xNqgbdroXHJiWI5NiD8ymZRMsUAptHOZZg0fTR/Ot5tK+GJdEXKphCnDOzGySzJpMTo0tKvchssbYHjnJKaNzuOt3wuYubgAvUrO+f2zsDi9zRo8lWZQ8b/JA7lm1qr6TFcABpWcly4fEJPgYyF+GdSKZg38FtqvaK9VQSib0+zZs+v/bbfbeeSRR5g+fToQfr3qSDNmzGDGjBn4g0G66FRUeHxcdPnlXHHFFaQo5aikUmRHZLHasqVxcNG8efMa/Ls5SmrXuGp4f+v7SCVSnh38JN0rOiKbX4ff4iYroyuS0014dC6U2uYb17K69aDzoKHsWbOiwfXOg4aS2a1Hs72O0EYYmzcIQxBaHUM6THwHCn6FVW+Esun0uzxUtcmUHZs+2Suh9gCkdIdxT4RK931xA0hk0PM8cFuB5vu7TTaoeOnyAVz2+jKsR2RLV8gk/G/yQNLEHrlwJKUWlJ1i3YuYE8FTbZ0+FbqdHapl7PeC2hTTKMGAPzQxGX1ZV377cAd1lYcDmvZtqqJoZy2XPnAS5rTm22DokKTj85tHsHJvFQu2lpFp1nDJoByyzGpRguAY2C1uvG4/MpkEjVGFXBH/5aoCTidIpEjVYuAXhL9KIpEgV0jQmVRoDUpAgjTGJSOc1jqSO3SiY5/+fP3iU/XX7bU1rPj8I6oPHuDM6X9rtgAWpVpN1+GjyOjSjS2LfqKusoLOg4eS3aN3s5cIbIt8Hg8OSy1+vw+FSh03mZia5PeBzwVyDYg094Lwl5m1SobmJtE704jLG8CgVqA8SjmilhQIgsPj59Hze/HGbwWsPVBT37ZqXw1XvrWST28czoAOzXfyNsOkYdbVQ9hcbOHLdUUYNAouPymHnEQtCc242d5WVdvdWF0+ZFIJCVolulYwT3N5fQSDoZKNgiD8dZlmDdeNyuWigVlIJZJmDUw6HlanjwStgmmj87jh/dV4/1i/qnP5eH/5ftbsr2bWNUOaLbhLLpMyNDeRBXedzNcbitlaUsfQvCRO755KlgiwPCqfP0C51Y3HH0Atl5JmVMd9qTh/IIjL60cpl6AQcw6hHVm3bh3bt29nyJAhWCwWHn30UQDOP//8v/Q8MokErUxGjlqKPxhEJpEgjeHfvT/gx+61c0O3afTclElgXSX+P9q8JXb4wI73cjWKviokzXVQ3JzAmdNvZVDxhWz+5UcAep96FomZWejM8ZFVKJ756+rwW+oAkJmMyIzxfxDO7XMTCAbQKMS9gSAcF2MG9L8cuo2FQCCUhS2W94w+Tyjj1bgn4NNrwXlovcoLGz+GvYvhugXNWmKze7qBb28fzc/by1leUEWPDAMT+maSlaBpsbJnbUYwGMoW5nOBTAn6dJDF+XpVMAgee6i/crEeeTzi/CcsNBt1fKTBVGpkZHczY6txNQicOsTr9rP2h/2Mubxrs5ZLyzRruGBANuf1y4qLtNatgdvpo2RXLb9/ugtLuROZQkqP4ekMOrsT+oT4LB/nLS3FvnIlli++RKpWk3DlZNTduiFPjlHtYkFoxSQSCZIYB00dkjdwCKbUdJZ9Njds+66Vyxg+cXKzZv9RabSocjpy8lXXEQwEkBylPrgQYq2qZOW8T9j88wJ8Xg/m9ExOmXIdWd17o9bFYfp4rxNq9sPqt6B8G2QOgIFTQhk6xeRCEP4ynUqBLg5i13VKGad1SyFRq2wQOHWIPxBkxvwtzLpmSLOWRUozqUkzqTmte2rcb+DGC5fXz7aSOh6ct5nNRXXIpBLG9krj/rN70CFOM3aVW11sPGjhg2X7CQSDXP5H5rV0UWJbEP4yiURCYjwMHEDPTCMTB+fw9u976wOnjrS1xMqOUmuzZsZSymXkJuv42+ldCASaLwt7W1dhdTFnxQHeWrKXOqePFIOKu87oytjeaXHz+3Qknz/AwRonn609yOp9NXRM0jJ1RCc6JGpbRbCwIDSHZ555hh07dqBUKhk0aBCLFy8m+TjXa6UxDpo6xKgyckr2KYxLOZPAF+VhH2P5ugBVJxNyc/O9N+nMCejMCWT36AUg5h3HIBgI4CkooPTxx3EsXQaAdvgw0h54AFXnznG55lfjrGG3ZTdzts3B6rEyttNYRmWNIkMvMkkJwnGJk7KV6JKh+wTY9vURgVNHsJbA9q9h6I3NFuQllUrISQzdf141rKOYcxwrRxVs+wYW/RuspaE4i2E3w+BrQN98VVCaVe2B0O/Wzu9AmwLDboSk/FDQoHDMxAxNiCq9Wc3QCzqz+tt9ER+zf3MVboe3WYOnDhGDwrEr2VXLN69srP+33xtg82/FlO+3cu4tfdEa42tByltSyoHrrsNTUFB/zfbLLxjOHkf6P/4RlwFUgUAgFKAiJrmC0KTEjCy8LieWstKIjynZtYOUDp1a5PXjcRElHtlra/jq+Sco2bWj/lptaTFfPvUY59/zIPmDh8awd2H4fbD3V5g7KVRXHmDfYljxGlz1ZShrZxy+Pwf8fqTipLogNMmsVfLP8T35YPn+iI/ZcNCC3e1r1uCpQ8S93bErqLBxyWvL8P9RssofCPLtplLWHajls5tGxF15u/I6F3d9vIHfd1fWX/ttVyX9sk28ftVg0k3xF0AV+ON7K+bCgtC0ZL2SU7ql8NbveyM+5vvNpYzp2jKZaMXf6LGpc3r5z3fb+WxtUf21Cqubv3+xCYvTw7WjclHK4+teeWtJHZe9vhynN5STZllBFR+uKuTFy/oztnd6s5URbk6+QAC5mAcLzWTAgAGsWbMm1t1odkqZkqt6XoV/uzXiYwI2L0GXD2j+dXQx5zh23oMH2XfZ5QTs9vprjmXL2X/5JHK/+Bxlhw4x7F1jNa4a/rv+v3yy85P6aytKV5Cpy+TtcW+Tpc+KYe/CCwaDBIJBZGLsEISm6dNg4NXw3d2RH7P1S+g/GdTNnx1PzDmOkc8D62bDggcPX3NZYNETUL0Xzn4SNOaYdS+sqj3w9liwVxy+tuUzGHMfDL8FNPGRZKeBgA+k8ReqJEYyIeoSM3SoNJH/GBRqWVxuVrYndoub3z/dFbatfL8VS0XjrGGxFPT7qf38swaBU4dYv/sed5jrsWSrcVGwrpwf3tzCL+9vp3SvBafNE+tuCULc0iUkYE7PaHJsUOv0UeyREI6lvKxB4NSRFr33Jraa6ij36ChspfD59MOBU4f4PfD5tNCJkjjh83ioLj7I7x++z1fPPcHqr7+gtqyUQMB/9E8WhHYqJ0FDRhOBNyq5VCwaxZjV5eXpH3bUB04dqcTiYuXeqhj0qmlrD9Q2CJw6ZMNBC79sD59xIFYqrC6W7K7k9g/XccdH61iyu5IKa3zN4wQhnpi1SnIStOhUkQNZEnWKKPZICKfK5m4QOHWkl37eTXmdO8o9alqlzc1dH2+oD5w60r2fbaTSGj/99QeCHKiy8+ZvBdz8wVqe/XEHBRU23GH6LghCSIY+g0TTUQ7sxklW9/Yq6PVS+8mnDQKnDgnY7dR89DEBrzcGPYus2FbcIHCq/rq9mHc2v4PHHz/7CNV2N+sO1HDfpxu5Zc46fthSSqlFzDkEISKFGlK7gaqJwCiVKS4DStoVWyn8+mT4to0fNgxQigduG/z0cPh+/fZkKKNZPKkthHUfwMdT4dv7oGwLuCIHo0ebCJ4Sok6pltPnlOyI7f1Oy0FrFKVyYsnr9mMpd0ZsL91TG73OHANfVRW1n34Wsb1m7ocEfb4o9igyW42Lr17ewHevb6ZgXQXblpbw2ZNrWP3tPhFAJQhN0JkTye0/KGybTC4nLa9zlHsk/Fnxzm0R2yxlpXhdkceVmLCWhk6MhFNXBI7Gm+Ox4Pf5KNy6kXfvvoUVX3zE7tXL+fX9t3j/vr9RsX9frLsnCHFLIZdxRo/UiHG3Fw/MJqkFsk4Jx87m9rFyb+TA2h+2lNVnTYoHdreX95bti9j+wYr9VNvjYxO8vM7FPZ9uZPLMFXy1sYT5G0qYPHMF9362iXIRQCUIEaWb1Fw5tGPE9gn94i/TQ3tzsCbynMLh8WNxxdcGeK3dw+5yW9g2ty9AQWXjzfxY2VZSx9kvLubf327jx61l/Pfn3Zz1/G8sL6jG5w8c/QkEoR2SSqSoU/RIIlTQUHY0IBWBtzHlt9mw/f57xHb7kiUEbOHfp2Pl64KvI7bN2zOPGleYUl8xUGP38N+Fu7nwlaV8vOYg328u5Yb313D1rJWUWOJsDVAQ4okxM5QJKJJhN4NSG73+CI05a8HTxNhQGznTfUw4q2H7N5Hbd/8Yvb4cTXUBvHUGzLslVKJy5Wvw6gjY/EkoCCwOiOApISZMqRr6n5nT6HpWNzN5A1JE2tkYk8okyOSR3x60pvgq2UcwCE0ERwU9HuJh28XvD7Dlt2Kqixovjm38+SDWSrGRIQiRqLRaTrvmBgxJDctkSKRSxt9xHzqzqNsca039DGRyOVJ5nJ2YCRwlqPbPGalixF5TzdcvPEnA3/DEt8fp5Nv/Po29Nj4WzQQhHqUa1DxxUZ9G1zun6LjltPy4LJPTnsikEhKaCGDLMKvjKjtYIAi+JoK5vP4AwXiYdACr9lWzaEfjE4e/bC9nzT4xbghCJAqZlCnDO9Irs/FJ8AfO6UFmHJbmbG8MmqaDENRxVrLPf5RxwRsnQUkVVje3zV2H3dNwzuELBLl1zlrK4ihDliDEG5lBSdJVPRplmJLqFSRc0hWZVgRPxZJEqUSe2MR6VWIiEkV8/YyayizlC/gIxsVOB+yvtjNr6b5G17eXWvloZSH+OBnjBCEudRoN3c5tfH3gVEjvFf3+CA3JjzLvU5uj0o1jFgw2vZfhi5MDJm4r/PCP8BU/vrkLbGXR71MYcbaLJbQXGr2SQeM60XVIOrtWleF1++kyOBVTmhadMc4Cc9ohrUFJt+HpbF1c3KhNKpeQ0Tm+aqPKEhIwnH02Ne+9F7bdfMnFcbFp77R62fJ7+PTyAFuXFpPaqfnrGAtCW2FOy+DyR5+idPdO9m9ahyk1nfwhwzEkJiNXiuwhsZbZtRsyhQJ/mHTnPcachtZojn6nmmLIBIUGvGFOw2kTQZsU/T6FUVdVgccZ/sReddFBnFYrOnNClHslCK2DTiVnfN9MBndM5JuNxZTVuTmjRyo9M02kiw3wmEvRq5g+Jo+H5m0J237poMaHbWLJoFZwycDsiNmyLhyQjVkb+/uROqeXWUv2RWx/e8leRnVJxqCOr00iQYgX6SYNb199EjvLrPywuZQEnZLxfTPJMKmPGrgjtLw0o4pUg4ryMME8AzqYmwzKjQWzVkGWWUNRbeP7eZlUQn5qfJSfr7F7ImbBsrp9lNQ6yWqiHLIgtGcSuRRVrom0Owfh2laFr8KJMs+EqqMReYKYc8SaTKcj8bprsS9ZErY96bprkenj4734kHNyz+HjnR+HbTuz45mYlPGxN/PRqsKIbbNXHmDS0A6kGcXfgCCEZUiDCS/CqDtg02cgk0GfiWDuEDdr0u2aLhlyhkLhisZt+jQwZkS/T01Rm0IBefsWh2/vcmZ0+xOJoxp2fh++LRiE/UshKfYVZuIm89R//vMfJBIJd9xxR6y7IkSJWqcgJcfAiIvyOXlSNzK7JIjAqTghV8o46exOpOQ0nDhIZRLOuakvOlN8LUZJlUoSp1yFLKnxTYW6fz/UveIkUjsYxOeJHP3rcfoIxstxdUGIU8bkFLoOG8mZ025lyPmXkJiRhUIlxo54oE9I4oJ7HkT2p2DV1E6dGXHJpPj7OelTYezj4dvOfR706dHtTwQ+T9MlXQP++ChLKwjxSq+Sk5+q5/YzuvL4RX04rUeaCJyKExKJhHG90zmzZ+qfrsO/L+hNVkL8bdKO7pocdqM7O0HDef0zkcVBpix/IIjT64/Y7vT68R0tFYogtHNpRjWju6Twrwv78H9ndaNbugGjCJyKC+lGNW9ffRJGdcM5R4ZJzXOX9icxzoKn0oyhLJjhhoc7z+hCsj4+5ki+QNPZQdw+kT1EEJoikUtRJGswjM4m4aIu6PqnisCpOKLu0YPEa65pdD1x6lTUPXvGoEdN62jqyMjMkY2uGxQGbup/ExpF7OdJgUAQqyvyepTL4ycg9jkEoWn6FMgZAuc8GVqjzhwgAqfihTYRLnwNTH861Kc2wRUfhw5lxxONGc5+MnRQ/M96XwLGOCk/H/Q3nSHLbY1eX5oQ+1QswKpVq3j99dfp27dvrLsiCMIf9Ilqzr21H3UVTop3W9CZlWTmm9GZlMjisMSJMjubTh99SM2HH2H9/nskKhUJV1yB4YzTUaSmHv0JokClldOpbzK7VoVPPdhtaIYoWSkIQqslUyjI6dmHa55/jaId27BVVZHZvQfm9Az08VhWUaGGXhdBcjf49clQve3UHnDy/ZDSDWRxcZuMOTUdiVRKMMyGhsZgRGMQGQsFQWi9Ug1qnry4L7ef7mLJ7kr0Kjkj8pNJNajQqeLjffhIGSYN7187hPkbivloVSH+YJCLBmRxyaDsuMnIYdIomNA3ky3FdWHbz+uXiUkEgQiC0EpJJBJ6Zhj59vbRbC6qY0+Fjd5ZRrqmGcgwxcf78J+d1CmBr/42iv8u3M2mIguZZjV/O60LfbJMcTPWmbVKErQKahyNswjLpRJyErQx6JUgCELzkCckkHzTjZgvvgj70qUEg0H0I0ciT0lBZoqPLE5HStYk89jIx/i96Hc+2PYBNo+NU3JO4coeV5JliI8NcKlUwoUDsvh6Y0nY9jN7pok5hyAIrVtiHlz3I5Rvh5L1kJQPmf3BmB069RdvkrvBDYthyUuwdxFoEmDEbZA7BnRxEpSnMkJ6XyjdGL49d3R0+xNBzGdoNpuNyZMn8+abb/Kvf/0r1t0RBOEIOpMKnUlFRr451l05JsrsbFJvv43EqVOQSKWhmuVxNIgpVHJOGp/Lvo2VeN0NT4OndNCTnB1fKYIFQRD+KplCgSk1HVNqfGRtOiqNGTqNhPT3Q+X7lDpQGWLdqwa0ZjPDLrqMZZ/ObdR22rU3oksQJfsEQWjdEnUqEnUqemfF38ZFOBlmDdNG53HRwCxAQqJWgUwWN0m9kUolTOiXwTtL91Fa52rQlmFSc26fTKRxkCFLEATheEmlErITtGS3koAejVJOr0wTz17aD7vbh0ouxRQHZV6PlGZU88h5vbjtw/WN2m49LZ9kfXz1V2hfZsyYwZdffsn69etj3RWhFZMZjciMRlT5+bHuyjFJ0aZwYZcLOTnnZAKBAEaVEaUsvt6Le2eZ6J1pZPOfDm3oVXL+dlo+WmXMt58FQRBOjDEz9JF/Wqx7cnQyOSR3gXOeApcFpIr4CZo6RJcM5z4Ls8ZB4E8Z03teGDcZvWK+wnfLLbdw7rnncsYZZ8S6K0I75nb6qCmzs+nXg6xfeIDKgzactqbL5AixVe2qpqC2gJ01Oymzl9WXu5MoFChSUpAnJSGRSKh11VLuKMfutce4xyGmFA0THziJbsPSUWnl6BNUDDs/j3Nu6ofOHB/p2oXWq6ioiCuvvJKkpCQ0Gg19+vRh9erVTX7OokWLGDhwICqVivz8fN55553odLYNsNVUU7h1Eyvnf8aOZYuxlJfh94kSanHL74XaQijdDFW7Q5OIQ9QmMKSHAqf8XrCWgq0MjlK+IhqUag39x03gvLseIKVjLkqNlqzuvbhsxn/I7T8IqTT+skEKghCey+tnf5WdT9cU8sZve1hfWEul1R3rbglNqHV42FthY1tJHUW1Tnz+0LgglUpIMahJMaiQyaTUOb2U1bmoczbO2BELWQlaPr1pONePyiVJpyRZr2Ta6Fw+uXF4XJZDFAQhskqbmw2Ftbzx2x4+WV3I/ip7k6U5hdgKBIKUWJxsL61jd7mNavvhcV6nkpNqVGPSKgkEglRYXZTXufD6Yz/nkEklnNo9lY+mD2NwpwQMKjk9M4y8ftUgpgzvhDZOMmQJbdMpp5yCRCJBIpGgVqvp2bMnr7zySou+5qHXO/Jj1KhRLfqaUeP3Qe0B2PIlLHkR9i6GuvDZgYQ44bZB9d7QelXNfvAdPgCRqE4kWZuMUqbEb7fjLS/HV1sbu74eIc2oZubUwdxzVlcyTGpMGgUXD8xi/q0j6ZCki3X3BEH4KxzVULYFlr8Kq96Cyl3gCp/NWogT1lIo3wrl28B6RLUjhSa0z3EocMpeEboP8LrCP0+0pfeF6b9C13GhPZmkzjDhxVDQV5wEe8V05vPhhx+ydu1aVq1adUyPd7vduN2HJ511deIPt6X4A34qXZUEggHUMjUJ6rab1cBl97L192KWfbGnwfXuw9IZflE+WmN8RfS3d4FggN21u3lg8QPsqNkBQIomhX8O+ydD04eiU4ZuzGtcNawtW8sbm96g0llJn+Q+3NzvZjoYO6CWx67mvFQqISFNy8lXdGPY+XlIJBI0RqU4/d2CYjV2uGxWHBYLbocdlU6H1mhCrW+5jDY1NTWMHDmSU089le+++46UlBR27dpFQhNZafbu3cu5557LjTfeyOzZs1m4cCHXX389GRkZjB079i/3weryYnX5kEggSadCKY95jHaLsVSU8/kTD1FddLD+mlyl4pIHHiOjSzekMhHQElccVbDhQ1j0H3D/8R6QdxpMeAESOh5+XM1+WDUTtnwOMiUMuhb6XBw6YRJDWoORLkNHkNWjF36vF4VK1aLvJ+2dmHNEmbUUAr7Q35w+PkottwSn18+vO8q5Zc46/IFg/fWhuYm8NGkAacbY3Z8K4R2osnPfZxtZVlANgFEj5//O7MZ5/TJJ0IXmiHVOL9tK6nj+p50UVNjJT9Vz55ld6ZZuwKiObZmK7AQt947rxvWjcwEJiToFSrm4P2kpYuyIHofHh+WP0mImjaJNB3WU1bm486N1LN1TXX9NJpXw4uX9Oa17qsjoEGesLi+/7axkxvwtVNhC7wd9skIZp7qk6uszo5dYnHy5rpgPVx3A5w9yfv9MrhjaIeaZtAxqBUPzkpg5ZTAurx+lTEqiXhzyayntZa3qWE2bNo1HH30Uh8PBe++9xy233EJCQgKTJk1qlucPBLxAEJAgkYTeO2fNmsW4cePqH6NUtoE9gIAfitfC+xeA54iDxEn5cNXnYO4Y8VOFGKkrhh/+AVu/hGAA5GoYeiMMv6V+fux3uvDu20vFy//DtWkT8rQ0km+6Ec2AAchjnI083aThxlPyuWRwDsEgmLRyNApxf9JSxJwjinwecFRAMAhKA2haR6bs42KrgIWPwrr3Gl4/7UE46bpQ+TchfnhdULQG5t0CNXtD1xLz4ILXIGtAaH0VQuutO3+E5f8L7Yd0PhNG3QYJuRDLw9gKNaT3gYveBI8NpPK4Ww+O2a5mYWEht99+O7Nnz0atPraF4ieeeAKTyVT/kZOT08K9bJ8qHBW8vfltJs6fyFmfnsXNC29mbdlaHF5HrLvWIiyVzkaBUwDbl5dStLMmBj0SmlJsK+bq766uD5wCqHBWcPsvt7OrdhcAde463tz4JncsuoOtVVspd5Sz8MBCLv36UjZXbo5V1xtQKGXoE9TozCoRONXCYjF2WKsq+PrFp5h1143M+ef/MevOG/nmpaexVlW02Gs++eST5OTkMGvWLIYMGUJubi5nnXUWnTt3jvg5r732Grm5uTz77LP06NGDW2+9lUsuuYTnn3/+L722zx9gR6mV2+euY9STP3PaM7/yr2+2UlTjPNEvKy65HQ5+fe/NBoFTAD63m8//8zC26qoY9UwIKxCArfPghwcOB04BFPwMH1wI1j9OYNbsh7fOgKUvgeUgVBfAgn/C7EtDi1lxQGs0YUhKjovF7bZMzDmixF4Ba9+HmWfA873gnXNg29fgbJv332UWFzfPXtsgcApgxd5q3lu2Py6yTgiHlVqcXDFzRX3gFECd08fD87fwy45ygsEgHp+fbzeVcNkby1leUE251c3SPVVMfG0ZP20ti4ufqVIuI92kId2kFoFTLUyMHdGxv8rOP7/YzMlPL2LM07/w9y82sa/SXp+Jui3x+QPMXXGgQeAUgD8Q5La56yizxMnJYaHeluI6bpmztj5wCmBTkYVLX19GUW1oblxicTL17ZU8+f129lc5KKp18sqiPVz86lIO1sTHuqtZqyTdpBGBUy2svaxVAVitViZPnoxOpyMjI4Pnn3+eU045hTvuuKP+MVqtlvT0dPLy8pgxYwZdunRh/vz5EZ9z5syZ9OjRA7VaTffu3Rtkqrr22mvp27cvbrebQMCH3V7JgAH9mDz5YuyOPXi9ofdVs9lMenp6/UdiYmKLfQ+ipq4YZl/SMHAKQtm3v71PZBGJN/Yq+Hx66ABf8I+5g88FS16Apf+tzxLiWr+OvRdfgm3hQnzl5bg2beLgzbdQ/c67+G222PX/DzKphDSjmnSTWgROtTAx54gSSxH8NANeHgIv9IFPrwllhvO10WpFB5Y2DpwC+PkxqGq8dy7EWM0+eO+8w4FTENrHeHd8aH8DwFYO826Fr/4GFdtD9wfr3oXXTw7dE8QDtTF0YD3OAqcghsFTa9asoby8nIEDByKXy5HL5fz666+89NJLyOVy/P7GKaj//ve/Y7FY6j8KCwtj0PO2rdpVzcNLH+aldS9R4w5tXGyu3MzV31/NhooNMe5d8wv4Amz65WDE9rU/7Bfl++LMosJFWL3WsG0vrn2ROncd1a5q3t/2fqN2f9DPo8sfpdJZ2cK9FOJJtMcOl83KD6+9xP6N6xpc37dhLT++/l9ctvC/vydq/vz5DB48mIkTJ5KamsqAAQN48803m/ycZcuWNSqbO3bsWJYtW/aXXntflYPz//c7P++oIBAMZdd4b9l+Js9cTklt2wugctZZ2L1qRdg2j9NJVZG4P4kr1hL45fHwbVV7oKogNPld+WZoYvFnZZugcGXL9lGIK2LOEQVuGyx5CebfCpY/vr+Vu+CjybDps1D5zDbm5+3lBCLs7b+3dB+VNlG+L57sKrNxMEIQ+NM/7KDM6qbc6uaRr7aGfczD87ZQLkoytiti7Gh5B6sdXPzqUj5fV4THH8DrDzJvfTEXvLIk4t9ra1Zpc/P20r1h2wJB+HFrWdg2ITZq7B6e+HZb2LZah5clu0PrUMsLqthZ1niju6zOzcerD9aXhxXavvayVgVw1113sWTJEubPn8+CBQtYvHgxa9eubfJzNBoNHk/4NfnZs2fz0EMP8e9//5tt27bx+OOP8+CDD/Luu+8C8NJLL2G327nvvvvw+er4+9/vprbWwtNPP0Aw4MXlCh2OCgTa4N9b1R5wWcK37foeHGJNPK7YymDf4vBtK18HWxne8nJKHnwodDDwT6reeANfpTjA2Z6IOUcU1BXDBxeFsvV4bKHAxj0L4c1ToWpXrHvX/BzV8PsLkdtXvNZ2g8ZaI68rFFwb8DVu83tg5Ruhn1f1Xti9oPFjPDZY+Ai4W+6+ry2IWRjw6aefzqZNmxpcu+aaa+jevTv33XcfsjDlblQqFSqVOPXSksrsZSwuanzDFiTI4yseZ9bYWSRrk2PQs5bh9wex10Ze1HZavQT88XGCsdpVTZGtiAX7FiCXyjmr41mk69Mxq8yx7lrU+AI+VpVGLvO5vXo7Hr+nyexSey17sXqsJGvazu+x0LRojx0Oi6XRYtQh+zasxWGxtEjWmIKCAl599VXuuusuHnjgAVatWsVtt92GUqlk6tSpYT+ntLSUtLS0BtfS0tKoq6vD6XSi0WiO+roOt48XftqJy9t4Er+vysGaAzWMNx/9eVoTv89LMBh5kc1hibBQFWXBYBBvcTGONWtwbdqMukcPtEOHoEhPR9Keygr6nKEMN5GUbgzV1t76ReTHrHs/VIdbIcpqtQdizhEF9nJY9nL4toUzoOtYMLetE5Qllsgb+1a3r1FGqlixOL2U1Dr5dnMpLq+fsb3S6ZikJbmdZZ/YeDDyWF5iceH2+qmxe3B6Gx/6gtDPtMrmJquN3QMJkYmxo2X5A0HmbyimMszhtlqHl49WFXLHGV2Qy9pO2fBAMJTxLpLSuvjJPFVS62RzsYWle6rokKjl1G6pZJjUqBTtZ87h8vnZVhJ5E2LJ7krG983kk9WRD3DOX1/EVcM6kmIQ7yXtQXtZq7Jarbz77rvMmTOH008/HQiVy8vMzAz7eL/fz9y5c9m4cSPTp08P+5iHH36YZ599losuugiA3Nxctm7dyuuvv87UqVPR6/V88MEHnHzyyahUbl59dTZffz0To1Hf4HkmT57cYA/qgw8+4IILLmiGrzqGmlr7CAbBFx/B/R6XD3utm70bKnHUeejYO4nEDB06czt7/6s9ELnN5wZ3HQGbF+/BCGNHMIh7x3ZUnUQ5xvZCzDmioGR9KFPPn/k98PO/4MLXQxlz2gq/p+nAWmtp6ICjPA5K21pLoXIn7PgetInQY0Ioc5GqHVVo8NigeE3k9oOrQhkMt34Z+TE7vgsFWren79tfFLPgKYPBQO/evRtc0+l0JCUlNbouRM+68vCTKIB9dfuweW0k03aCTuRKKZ36JnNwe/jyIFldzSjVsV/sqXRW8viKx1mw/3Ck6Jub3uSK7ldwY78bSVC3j5qzcqmcXFMuRAioz9BlIJfKUcgUTT6PVNJ2FlSF+ON22JtudzbdfrwCgQCDBw/m8cdDGXYGDBjA5s2bee211yIGTzUHi8vLb7siL858taGEs3unI5O2nb87pUaL1mTGYakN257SsVNU+xOJe8dO9k+ZQqDucFp2qU5Lh3ffRd2rFxJJOykZKlOBQguRyg8ndAKJ5HA98HDkahBjhyA0H0vR4bIEf+a2grO6zQVPjeqSzJuLw2cQ6ZVpRKOM/Zyj1uHhjd8KeGXR4bTsb/xWwCndUnjq4r6kGttPAGnHZG3ENoNKjkImRXaU0ttHaxcE4dhZXV5+2FIasX3B1jKuGdmJpDYU6KlWyOibbYoYzDmmS0qUexTe/io7V7y5or4sHcC/v9nGm1MGMzI/qd2UDJVLJWSa1eyrCj/n6JpmQCIBZRMBfkq5FDF0CC0lVmtVBQUFeL1ehgwZUn/NZDLRrVu3Bo975ZVXmDlzJh6PB5lMxp133slNN93U6Pnsdjt79uzhuuuuY9q0afXXfT4fJpOp/t/Dhw/nrrtu58knn+GOO65l+PCBjZ7rmWeeYOzY8fX/zsjIOKGvNS6k9Yzcpk0CVew3/D0uHwXrKlj43jb44/zIhoWFJGbpmHBrP/QJ7WfO0WSpIokElLqj1g6SKOMgoEEQ2pItX0Zu2/MzeKxtK3hKZYJOY2D9B+Hbu5wFysjrI1FTVwwfXgHFR8Qw/PwYnPMM9L0c1O0kEEiuBlMHKA+f8RZzx1Cgm7yJsVSmAMSkoyliF0howKiM/KYvk8iQS9tWzWKJREJuv2TU+sbBNlK5hEFnd0Khiv3XvLJ0ZYPAqUPmbJ/D7po4qU8aJefnn49MEn7x7YZ+N2BWm+mZ1DPiY/ql9GtX2bqE6FNpdU23a5puP14ZGRn07NlwkaRHjx4cOBD5FFN6ejplZQ3LPZSVlWE0Go8p6xSAVCLBqI4csJikUyBtY0E6+oRERl9xddi2jn37o09Mim6HwvBWVHDw9tsbBE4BBOwODt76N3zlYcrTtVX6VBh8bfg2tRnSeoM2BQZdHfk5TpoWHydsBKGtUBxljGkqmLGV6pZupHNK+HuAB8f3JEkX+w3/ggp7g8CpQxbtqGDh9nY0bgD9c8zoIgS0XTOyEykGFUl6FQna8PdAqQYVSbq293ssCLGikEkwqCOvzRjUoaDGtiRRp+TB8T0JN5XKTdbRIyP2GwRWl5dHvtraIHAKwBcIcuMHayiri48MJ9GQYlDzt9O6hG2TSyWc2zcTrVLO1BGdIj7HlcM6kijGDqGFxGqt6lhNnjyZ9evXs3fvXux2O8899xzSMIfwbLZQ2cs333yT9evX139s3ryZ5cuX1z8uEAiwdOlyZDIZBQXh18XS09PJz8+v/9DpYvs9aBaGdMg/M3zb6Q+H2mPMYfE0CJw6pLrIztofDuDztcFyipEYMyAhN3xb13NAm4zMbEbVo0fYh0gUClT54cceQRCOU1OVl9RG2lxYhVIDo24PH2yjSYCe5xN2QhJNfi+sfLNh4NQh394N1uLo9ylWVHoYfVfk9pF//Cx7XxT5MX0nhQKqhYji6q980aJFvPDCC7HuRrvWP7U/ckn4BanTO5xOojoxyj1qecYkDRffM4iOvZPqgy3T8oxcfM8gTCmxL7NQ66rl3S3vRmx/f9v7uHzxk669pWXoMnj+1OfRyA//bKQSKdf2vpYh6aFTTMnqZP457J+NPtegMPDw8IcxqUyN2gShuWhNJjr1a3yiDaBTv4FoTS3z+zdy5Eh27NjR4NrOnTvp2DFy6ubhw4ezcOHCBtcWLFjA8OHDj/l1U/SqJheAJw3p0OYyHEmkUvIHD+Xcv92DISl04luuUjHo3AsYd/OdaI2xf4/xV1fj3b8/bJuvtBRfVVWUexRDchWM+Bt0O6fhdV0KTJkHxiyQSqHPREjr0/jze57f9OlNQRD+OkMG6CIsSKV0b3qxqpVKN6p579ohXDwwC4UsNC52TtHzwXVD6JMV+3HD5w/w3rJ9Edvf+n0vldb2swmeYdIwe9qwRsFR5/RJ58rhHVHIpKQZ1bw0aQDyP6UJUcgkvDRpAGntKFOXILQ0nUrB9aPzIrZPG5OHUdN0BurWqFeGkdnXDaVLaqjUlEIm4YIBmXxw3RDSTbFfr6q2e/hlR/jgWrcvwPbSurBtbdUp3VK4ZmSnBvtLOqWMt6YOJtMUGhN6Z5k4vXvjTCN9soyc1TO9zc2dhfgRq7WqvLw8FAoFq1atqr9msVjYuXNng8eZTCby8/PJysoKGzR1SFpaGpmZmRQUFDQIfMrPzyc393AQytNPP82OHTv5/vvZLFy4hA8++LLRc0kiHLxt1bRJcP7LMPxvoaxFEFrzuOiNUHkjaey/5v2bKxsFTh2ybUkxzrrGJXrbLEMGTP4klCnkSNlD4JynQG1EnphI5uOPIw0T3Jfxr8eQp7S9ubMgxFT/SZHbTpoGuiYyxrVW5ly47sfQew+EgqXyzwhdS4iDsqD2Clj9VuT2LV9Ery/xIKU7nP3UHxmk/iBTwoQXISk/9G9jduhe4M9M2aHgK4VYr2pK7FPqCHElWZPMU2Oe4u7f7iZwRCmNbH02dw26C60iDtLztQBzmpYzr+uF2+4lGAyi0ijCZqOKBV/Qh9Vjjdhe56nDF/BFsUexpZarGZk5ki/P/5IDdQdw+V3kmfJIVCeiV4YWFDUKDeM6jaNPch8+3P4hRbYihmUO46yOZ5Glz4rxVyC0dWq9gbNu+Bs/vv5f9m1YW3+9U7+BnHXD31DrW+aE8J133smIESN4/PHHufTSS1m5ciVvvPEGb7zxRv1j/v73v1NUVMR7770HwI033sjLL7/Mvffey7XXXsvPP//Mxx9/zDfffHPMryuVSjivXyY/bS1jxd7qBm1/Oy2fnMS2OW6o9Qa6jzqZ7J698XrcyGRytOYE5Ir4GDuCnqYXm4Lu9rMBDoROV57/P7CVQ/We0IKiKSdUF/3QBoUxEyZ/DIUrYN0HoVMaJ00LBU41lUpdEIS/zpABl82B988H7xHZKjQJcMks0MdHKaLmlpWg5bELenPnmV3x+YPoVHJSDLHPOAWhLCG1Dm/EdovTiz8YYZejDZJJJfTNMvHtbaMprHFQ6/CSl6InWa/ErFXWP2ZIp0R+uGMMH60uZGtxHX2yTEwcnE12gkZsgAtCM+udZeKSgdl8uvZgg+sT+mYwsENCjHrVsrQqOSPyk5k7bRg2tw+5VEKiTok2DjKkA3j9AZoaGmrskceVtihJr+KuM7oydXgndpXb0ClldEzSkmpQo5CHgkFSDCr+c3EftpVY+WD5fjz+AJef1IH+Hcyki6BboQXFaq3KYDAwdepU7rnnHhITE0lNTeXhhx9GKpUe973SI488wm233YbJZGLcuHG43W5Wr15NTU0Nd911F+vWreOhhx7i008/5dRTz+Txx+/l/vufZOTIweTmZtevAUgiHCBv9QzpcPpDMPQG8HtAoQ1lOIoTDmvkscHnDRAMtJ85BwDJXeDaH6CuCKyloUAFQ3rowN8fVN26kvvlF9R9+y2OFStRdMghYdIkFNnZSNVi7BCEZmXuAKfPgIUzGl7PGgwDrgJZ7INQm51cARn94IqPwGUJjZOaxPgpTxgMgLuJQxm29pUpHY059LvYdSxU7gIkobFEn3o40782IRQk1WM8rHwDnLXQ8wLIPy0UQCU0qY3eIQrHSy1XMyprFPPOn8fPB36m2F7MiMwR9ErqRZouLdbda1EqjRyVJv7+JIxKI2OyxjB7++yw7ad3OB2dog2kFf4LlDIlmfpMMvWZER+jV+rpltiNfwz9B96AF7VcLTYwhKgxJKVw7m334LBYcDvtqDQ6tCZTiy1GAZx00kl88cUX/P3vf+fRRx8lNzeXF154gcmTJ9c/pqSkpEEZv9zcXL755hvuvPNOXnzxRbKzs5k5cyZjx479S6+dZlTz8hUDKKi08+2mUgwqGeP7ZpJhVmPStO2yA/FQoi8cWWIiEpUqfJCUQoE8uR2eTNMmhj5Su0d+jDETel0IXceBRBrKWiUIQvOTSiFrENy8HHYvhLItkDMEOo4IBTa2YVqlHK0y/uYcaoWMs/uks2hnRdj2U7umYGyiZFZbJJVKyDBryDBHzu6iUsjonKrnvnHd8fgCKOVSZFIx5xCElpCsV/HAuT2YMqIjX20oIRgMMr5fBjkJWpL0bfueLdmgIjlOgm2PpFcryDJrGpXtO6RvTuwzK0abQaPAoFHQKTnyOl2KQU2KQc3QvESCwdAYLAjREIu1KoDnnnuOG2+8kfHjx2M0Grn33nspLCxEfZxBH9dffz1arZann36ae+65B51OR58+fbjjjjtwuVxceeWVXH311UyYMAGAW299gAULVnLjjQ/x889fo1KZAdr2OrFcCeb4nFd17JXE2u/DZ0pP7WhAoW6H74nGjCYD3CRSKcqcHJKmTSNxyhQkCgUSefuamwlC1KhNMPha6DYONn/+R9DJBEjuGhelT1vUobXzeKPUQ8eRsO/38O3dz41uf+KBUgvKTpDQKfJjtInQYRhkDoSAL/Q5wjGRBIOt9/hoXV0dJpMJi8WC0RgnEZCC0AIO1B3gsq8vw+a1NbierElm9jmzmwwiEgQQ75dHaup74XK52Lt3L7m5uce9iNMeiO9T/Au43VS/9z4Vzz7bqC3pphtJnj4dqSb2pT6E+CbGjhDxfRDai+JaJ5e8upRiS8OS4BqFjG9uG0Veij5GPRNaC/F+eZj4XgjtxY9bSpn+/ppG18/qmcZ/Lu5Loq5tH6YRTpx4vwxpT2tVdrudrKwsnn32Wa677rpYd+cvaWs/i1iwW9x899omyvY2zCIikcBF9wwiPa/9Bd4Kf50YO0LE90FoN4rXw8zTQ0FAR0rtBVd+FlcZFoX49FfeLyMXkBYEIW5kG7KZfe5sTu9wOlKJFLlUznmdz+O9s98TgVOCIAhCI1KVCvMll5D59NMoskOpWOWZmWQ8/m8Sr7pKBE4JgiAIjWSaNXx0w3AuG5yNSi5FIoHTuqcw79aRdGijZXgFQRCEEzO8cxIfXDeEHhmhzDUJWgX3ju3Gvy7sLQKnBEEAYN26dcydO5c9e/awdu3a+gzp559/fox7JsSCzqRi3PTeDBzboT7LVHpnIxfdM4ikbHFYQxAEQQgjpTtc/xN0HBX6t1IHw26ByZ+IwCmh2YncjoLQCkglUvJMefx75L+p84ZOZZhVZjRysfndGgWDQapd1QSCAUwqE0qZWFAUBKH5yRPMmCaMRztsKHi9oFCgSEmJdbeE4+VxhOq7yxSgjc9ykYIgtH45iVoeOb83t5/RlSBgVMsxqBWx7pZwnKrtHrz+AEaNHI1CLP8IgtD8DGoFo7qk8MF1RlxePzKplBSDSpQwbaU8Pj+1Di9SqYTkNl4OU4iuZ555hh07dqBUKhk0aBCLFy8mOTk51t0SYkSfoGbIhDz6nJJNMAhypRSNXqyPt1rOWvC5QsEMqpYtAyoIQjulUEPmALj8A3DbQ+kKdSmhMrVC6+P3g6My9P+6ZJDGV8lesXomCK2ITqlDp9TFuhvCCSh3lPPzgZ+Zu30uTp+T0zuczuQek8nSZyGRiMVFQRCanwiYauX8HqjeC789C/t/D00oRt0JnUaFJomCIAjNTK2QkWkWhzRas0qbm+UFVby6aA/Vdg/D85K4+dR8OiRqUMrja1FKEIS2IUkE2rRqwWCQwmoHby/Zx4KtZWiUMq4e0Ykze6aRZhSlyYQTM2DAANasaVzeU2jfZHIp+gTx/tKqOWtCpbR+fRJq90Nabzjl75DSFZQii5ggCC1AkxD6EFovy0FYNxs2zA0FwfW7AvpPAlN2rHtWTwRPCYIgREmFo4J7f72XNeWHFww+2PYBXxV8xdxz5pJjzIlh7wRBEIS4VLYF3jorFEQFUFcEn1wNA66CMx8FbWJMuycIgiDEl1qHh/98u51P1x6sv/b5uiK+2VTCpzeNoE+WKYa9EwRBEOLR/ioH5/9vCRant/7aP7/czPz1xbw8eQCpBhHgIAiCIBzB44C1H8CCfx6+VlcMuxfA5XOh67jQprggCIIgHGI5CO+Mh5q9h6/98i/YMAemfhU3AVTSWHdAEAShvdhZs7NB4NQhFreFtza/hdvnjkGvBEEQhLhlr4Kv7zocOHWkde+DtTT6fRIEQRDiWqnF1SBw6hC3L8BD8zZTYw8zpgiCIAjtltPj43+/7G4QOHXIyn3V7Cy1xaBXgiAIQlyzl8PPjzS+HgzCV7eDtST6fRIEQRDiVzAIW+c3DJw6pLoAtn8bekwcEJmnhNbDURXaJKzZHypZY8oGY2aseyUIxyQYDDJ/z/yI7T/u+5Gb+t1Emjwtir0SIgnGySAdrwKBQKy7cEwC/gB2i4e6Sicel4+ENB0agxKVVtz+CK2E2wLFayO37/0N0npGrz+C0A5YnF6qbG4KKuwY1HJyErWkGdXIpOLUrNA6LNlTFbFt3YFa6lxeEnTKKPZIENq+EouTkloXVXY3HRJ1pBhUJIq/M6GVqHV6+W5z5EMZn649yMj8JCQig4ggNBuH10GVq4q9lr0opAo6GDuQoklBKRNjh9BKVO8Df+OgWwBsZeCoFnt3gtDcrGWhwERLEZizwJAJ+tRY90oQjo2zBjZ+FLl9w1zoc0lcVNkQu4etiNfvxea1oZQq0Sl1se5OdNUVwxc3wt5fD18zZsGVn0Fqj9j1SxD+AqU08gRYKVMiQSxExZpCoUAikVBRUUFKSkqbWBz0B/wECSKVSJFKTizhZDAYxOPxUFFRgVQqRamM30Udvy9AaYGFb1/dhMfpq7/ec1QmQ8/LQ2uM374LQj2JNJTmPFJAp1yUzxCanz8QpM7pRSaVYNQoYt2dqKqwunnq++18suZw1h6jRs5bU09iQI4ZuUwkbhbin0oe+fdUIqFN3N8K8cfh8eHy+tGp5Kjkslh3J6p2lNYx5e2VlNUdziQ9pksyT13Sj3STuFcT4p8ECQpZ5LFBLZeKsUNoEUF/6GCepJ3dY9e6a/lo+0e8uuFV/EE/ACqZin+P+jejs0ejlWtj3ENBOAayo2wtn+AatCCE5XWGSkYqNKBsZ++VNftgzmVQsf3wtbReoTKZCR1j1i1BOGYSCciaWGeWKeJm7BDBU62AL+CjyFbERzs+YkXJCpI1yVzT+xq6J3THrDbHunstz2OHnx5pGDgFUFcE718I0xaGAqkEIY5JJBIu7noxX+75Mmz7BfkXkKiOfURteyeTycjOzubgwYPs27cv1t05IYFgAI/fg91rJxAMoJKp0Cq0yKSyEw7U02q1dOjQAak0Pm5mwrHVuPnqpQ34fQ2zZG39vZikLD19TskSC8BC/NMkQOfTYfdPjdskEug0Kvp9Etq0g9UOPl9XxPebS9EqZVw/Oo9BHRNIMahi3bUWFwgE+XJdUYPAKYA6p48rZ65gwV0n0yGxnS3OCa3SiM5JEdtO7ZpCgrZ9BUUKLavO6WV3uY1XF+2hsMZBv2wT14/Oo0OiFpWi7QdRldQ6mTxzBZW2huUwf9tVyYs/7eShCT3RKMXSqxDfkvQKLh2cw+u/FYRtv+yknCj3SGjrgr4AAZePgN0HEpDq5EhVciRNBIC3JZsrNvPy+pcbXHP73dzz6z18dt5ndEnoEqOeCcJfYO4ASl1o7+7PEvNAG3lOIgh/mdcZKuu19L9QuhGS8mHkHZDcBVSGWPeu5dkr4ZOrGwZOAZRtgc+uh0kfgk78zQlxTpMAQ6bBwVXh24dMB405ql2KRMzgW4HdtbuZ8t0UnD4nADtrdrK0eCnX97mea3tfi0HZxgcHWwVs/jR8m7UkVMZPBE8JrUBHQ0fO73w+8/bMa3jd2JHLul2G/GgnNoSo0Ov1dOnSBa83QurhVsDqsTJn2xy+KfimwXWNQsPTY56mg7HDcT+3TCZDLpfHfeDRgS1VjQKnDlnz/T46D0hBZ277wQBCK6c2wbj/wNtnhVKeH+mMR8EgSr0KzedAtYOLX1lKhe1w5ozV+9cwtlca/76wD8n6tv2eWW518dqve8K2uX0Blu2ppEPi8Y+fghAtKQYV94/rzn++b7iwmqhT8s/xPTGoRfCU0DycXj9fbSjmH19urr+2vdTKZ2uL+OD6oQzLa/sL+Hur7I0Cpw75bG0RN5+aT06imOcL8U0hkzFlRCe+31LK/ipHg7ZLB2XTUQSPC80o6Avgq3QSPGK9xu/xE1B4kSdp2nwAlcVt4bWNr4VtCxLk4x0fc9+Q+5BLxdghxDlDOlz4Gnw8pWG2dLkaLnpDrFcJzScYhP1LYfYlEPxj7CjbAlvnwQWvQe+LQN6216uwV0DxuvBtB1eCo1IETwmtQ6cx0GE4HFjW8HrHkXF1SFzchcW5Wnct/1r2r/rAqSPN3DST8zuf3/aDp3xOCPgit9cVR68vEVQ4Kthn2ce6inVk6jIZkDqAVG0qiqZS0AnxyeMEe3komluhBm1ys93sJ2gSuGvQXZzX+Tzmbp+L3WdnfO54hmQMIV2X3iyvITQPmUyGTNZ6T0oXOguZuX1m4wYPPLvhWZ4++WmMSmP0OxZFNaVhTj79wWHxEAhEKIMWLV4nWEth3+9gK4dOI0Mns0Sd8lbJYfXgtHrwuQOo9Qq0RgUKVTPdZid3gWmLYNtXsHsBGDJCJzES89rH6SohKlxeP6/+srtB4NQhP2wpY9rovDYfPOULBKmyh98AB9hTbotib8KrtLk5WONgye4qErQKRnROJsWgQtdc7zdC1Hj8fsrr3FTZPMhlEpJ0StKM6mYJTjeoFUwa2oHhnZN4Z9k+yutcnNY9jbG90shOEBvgQvOptLp55Kutja77AkHu+XQDn904glRj2y5bV1zbeK3uEI8/gMvrj2JvGvP5A5TWuVh3oJb9VXb65ZjpkmoQ5QRbqVqHhyqbB6vbh0mtIEmvbLYSy1lmDXOnDWPpnkrmrS9Gp5Rx9YhcuqTpSWzj94BC9ASDQQIuX4PAqfo2b4CA248sTPDUjBkz+PLLL1m/fn0UetmyPH4PJfaSiO376/bj9XtjGjzlq63FV1aG/fclSORydKNGIk9JQWZs2+uIbVEw6MftLsfjqQKCKJVJKJWpSJvj90umhM5nwE3LYNVbULkTcoZAvytCWakEoblYS+DLmw4HTh3pm7tCa+pt/XfOfZT1qKO1R4PlIJRuhrLNkNIdMvqBKTtUOUFoXdzW0H6VsxZU+tAeeXMF5xkzYOI7ULQW1rwNSGDwNZA5MBSUGyfEKmucq3PXsaFyQ8T21WWr6WTqFL0OxYJSB0o9eCIMAEn50e3Pn5TYSrjhpxvYa9lbf00lU/HK6a8wMHWgyCbUmtgrYMXrsORF8P+xeZbcFS59D1J7NMtLJGoSGaIZQr+UfgSCATQKTbM8ryAcaUnRkohty4qXYXVb23zwVEa+mU2LisK2JWRowy7IRY3XGSrD9slUCByxoZJ1Elz2HhgzY9c34S+rLXPw/RubqSoK3adIpRJ6n5LFoHGd0BqVzfMiCR1h+C2hyYRUAfJmel5B+EONw8P8DZEPJHy65iCDO7Xt8sJKuZROSVr2/SnjwiGDYvz1l9W5uOuj9SzZU1V/TSqBZyb2Y2yvdBFA1YpYnB6+21TKY19vxe4J3QekG9W8fMUA+mWbUTTDPYpJo6BfjpknM/riCwTQKGRxnzVUaH32Vtrx+MNnei2sdlLt8LT54Kn8FH3ENqNajlYVuwM5/kCQjUUWrpy5Aofn8JwjJ1HD7OuHiVK0rUxxrZN7PtlQfx8gkcDYnunMOK9XswXDZZo1XDIoh3P7ZCKTSlC28QxAQgwEggTsjbO8nznxHH5b/jsAKpWKvLw8br31Vm6++eYW7c4vv/zCs88+y4oVK7BarWRlZTF48GBuueUWxowZ0yKvqZVr6ZHQg3JHedj2AakDUMUwg4qvqoryF17A8knDKiBJN95A4tVXIzebY9Mx4S/z+53U1K5k69Z78HpDY4dcbqJH98dJTByNXK478RdRakN7JuP+A353KOuUtPUeRhbilKMKbGXh27yOUHKNth48pU0I3fwFwxwGl0hjX+qsYie8O77hz0mTAFd/A2m9Ytcv4a+zlsKCh2HTx4cDFrOHwMUzQ/sTzcGQDt3Pgc6nhv4dh3vkYhbUykloBwughgwYeVv4tswBMd1kdngdPLv62QaBUxCqU37rz7dS7gw/ERLiUCAAW+bBb08fDpyC0KmJd8dD7cFmfTmVXCUCp4QWc9TNsXYwdKTnmdAYwp/CHX5hfvMFtRwPa0njwCmAolWw7H/gi5z5RIgvthoX815YVx84BRAIBNn480G2/F6EP8KG4nGRSEIB5SJwSmgBRxsWpO1g3Eg1qLn/7O4R2lT0yTJFuUeH+f0BPlld2CBwCiAQhP/7ZAOlFleMeiYcjy1Fddz/+ab6wCmA0joXk2euoKiJLDbHQymXolXGf7lloXU62m9Ve1ivykzQ0CMjfCbQm0/pTJohdsFjZXUurpm1qkHgFIQC2/7xxSbqnK23TH17U213c/uH6xrcBwSD8P2WUv71zVasrub9WWqUMhE41Yb5HV685Q7cB+rwVjjwO+LjveDaK67mwKY9bNm8hUsvvZRbbrmFuXPnttjrvfLKK5x++ukkJSXx0UcfsWPHDr744gtGjBjBnXfe2WKvq1PquKn/TWHHSI1cw/i88Uglsfv7c65b3yhwCqDqtdfx7Alf4lyIT07nQTZunFYfOAXg81nYtPlWHI59zftiMnlovUoETgkx0fbnHGhToOcF4dt6TwRdSlS704CtIrTP8ecAN2cNzJ0U2gcRWgevAxY9CRs/bJjp7eBK+HBSKBtVc1Jo4jJwCkTwVNwzqUz0T+kfsX1Q2qDodSZWZAoYdC2cfB8o/jgZJ5FAt3Pgsg9iWuKo2lXNTwd+Ctvm9DnZWbMzyj0SjputFH57MnybvRJKImeAE4R4MzJrZGEwTbwAAQAASURBVMS2EZkjMCradtYpAEOimgv/byBpuYe/VrVOwWlTupPROXYb4ADs+aVx4NQha2aFSocKrUJtmQNbTeMyZwDrFxTisIhAOKF1MGuVnN8/K2L7xYNyotib2BmWl8R/LuqDWXs4+HZgRzMf3TCMTHPsJvQVNg9vL9kXti0YhG82icWo1qLW4eHZBeHniG5fgHnrw2fNFIR41ClZh1IWflmxQ6KWBG3zlBOLZ6kGNTOnDOa0bin1FSm0Shl3ndmViYNzkEf4/kTDgSoHlggBUot3VTZZqlaIL1U2D6v21YRt+2ZTCZU28bMUjo2v1k313O2UPbeGilc2UPbsGqrnbsdXG35O21ysViuTJ09GbzTQoV8+L775MmdOPIf/m3Ff/WO0Gg2ZeTl0zu/MjBkz6NKlC/Pnz4/4nDNnzqRHjx6o1Wq6d+/OK6+8Ut927bXX0rdvX9zu0Nfl8XgYMGAAU6ZMAeDAgQPccccd3HHHHbz77rucdtppdOzYkb59+3L77bezevXqFvpOhOSac/nf6f8jTZtWfy3PlMessbPI0Ge06Gs3xWexUPXWzIjtVe++R8DVsr8rQvMIBDwUHnyHYDDc2mOQfftfwecLn3FZEOKONilyOS+lLlQGrK3TmGDcEzDgKjhUdlOmgEHXwFmPgjqGez2OSihvXModgNr9oeAqoXWwlsP698O3lW0Ba+SKBW2NyO0f50wqEw8Oe5Arv7sSp6/hKdQb+t5AkqaZ6kzGO30KjP4/6H8luOtC0Yi6lNgOCoTqlPvD3oSGVDmrIrYJccbnbjpytnQT9Dg3ev0RhBOQoknhqh5X8f62hjc7eoWee066B4Mq/OnotiYhXcf4W/rhtHnw+4KotHJ0ZhXSWKdQqWviRtNjjxxYJcSdmtLIi00epw+fR/wshdZBrZBx4ymdWbCtjAprwwXxc/qk0zGpfZT2MWuVTByUzZiuKdQ5vSjlUhJ1Ssza2GZ8CwSD1Dgib4yWiMxTrYbLG2B3eYRy9MDGIgseX0Bk/BBahWSDikfO78XfP9/U4LpCJuGZiX3bfMm+Q7IStLw4aQCVNg8urx+DWk6qQYVSHtvsC02NGwBun7hPbS2qmgiOCgbB1syZp4S2ye/wUvPZTty7ahtcd++qpeaznSRO6o6shYJe77rrLpYsWcL8+fNJTUrhwX/8k3WbN9C3V5/6x0ikEqTKw++bGo0Gjyf87/7s2bN56KGHePnllxkwYADr1q1j2rRp6HQ6pk6dyksvvUS/fv24//77ef755/nHP/5BbW0tL7/8MgCfffYZXq+Xe++9N+zzt3TGTq1cy6isUcw5dw4WtwWpRIpZZY79Po/Xi686fKAmgL+ykqDXA+rYlRUUjo3f78RmjRDMANjtOwkEHED7mOcLrZwhAy54DWZf3HjNfPyLoI8QWNXWGDLg7Cdh9N3gsYFSD4bUwwlHYsV7lPUorwjUbDU8NvA3Ma+oLYKM/lHrTiyJ4KlWoLO5M59O+JRPdn7CipIVJGuSuab3NXQxd8GgbB8b4ADIVZAQX7VrdQodqdrUiHXKeyb1jHKPoqiuJJSK0VULxizQJYfq2LZWclXoa7BXhm9Pa8M/S6HNMalMTOs7jTE5Y5i1eRa1rlpGZo3kwi4XkqWPnFmkLVLrFaj1cXbqPe9kWPxM+La03rGf9LSQgMuFr6ISb3ExEoUcRXo68pQUJIo4+/n8Bea0yD8rhVqGXCFSlgutR4dELV/cPIKvNpTw7aYSdCoZ143Ko3+OiWR9+1kgl8mkZJo1Mc009WdapYzBHRMiZp04vXvsMvG2tEqrm0q7m0qrmxSDimS9iqRW/PuokkvJS9axrrA2bHvvTJMInBJaDY1Cxvi+GfTMMPLar3s4UO1gQI6Zq0d2okNi27yfjcSgVmBQx9c9bedUfcQ2s1aBMc7621w8fj/ldW5KLC78gSBZZg3JBhWaVnxfnqiPHMQtkYBeLZb3haML2LyNAqcOce+qJWDztkjwlNVq5d1332XOnDmcfvrpALzz3rtkdchGIpUgUcpALkWiliORS/H7/cydO5eNGzcyffr0sM/58MMP8+yzz3LRRRcBkJuby9atW3n99deZOnUqer2eDz74gJNPPhmDwcALL7zAL7/8gtEYOoS9c+dOjEYj6emHN9w/++wzpk6dWv/vZcuW0adPH1qKRCIhVZtKqjZ+7uOlBgO6ESOo3b8/bLv+5JORatvm+G5xWah2V1NmL8OkMpGsSSZFG8MyWCdIJtOg13enzroxbLtWm49M1jZ/lkIbJJFAh+Fw4xJY9j8o3QiJ+TDyNkjKB3lsD7tFlVIHibpY96IhbWJob9UXJjOhRBrTylEtKhAIlSS0FoPHAeYc0KWCKvIcLO4p9aHMZgFf+HZT+9lXFLOrVkAmldHB2IHbBtyGvbcdpUyJto1urLY2qdpU7h58N/f+1vikytD0oQ3S77Yp5dth7mVQs+/wtR7nwzlPRU6hGe/06TD6Hvj+vsZtmgTIHBD9PgnCCUhQJzAsYxh9kvvg9XvRK/XIpWLYjwvJXSG1F5Rvadw27olQtsU2xmexYPnsc8qffx68oRMMUp2OzGeeRjtsODJN68xMYE7TojMrsdc2PhHb7/QctOZ2NIEX2oTsBC3Tx+Qx6aQcZDJJ3G0Et1dmrZJ/nNuTi15ZQiDYsK1TkpbeWTEuR9tCDtY4uOmDNWwqqqu/NrCDmf9eMZCsOApu+ysSdEruOqsrV721slGbUiblggGZMeiVIBw/g1pBvxwzz17aD7c3gE4lFwGAcSJFr2Jcr3S+31LaqO2es7qRZmi9gaiRODw+ft1Rwf99sgHHHxlgVXIp/zi3Bxf0z8SoaZ335kk6JQM6mFl3oLZR21k909pVkLtw/AKuCBthx9h+vAr+n737Do+6yho4/p3eZ9IbJJDQO4iCiAIidgW7C4goCra1rqi7viLoqrtW1q6ggCK6lhV0LdgABSxU6b2T3jOT6TPvH7OUmJlQksmknM/z5H2Xe6ecCTK/cs89Z9cuvF4vAwYMODwWlxhPly5dUBjUqJP0KFQKXnv9Nd56+y08Hg8qlYp7772X2267rdbrORwOdu7cyU033cTEiRMPj/t8Pmy2I+fEgwYN4v777+fxxx/nwQcf5Mwzz6zxOn+sLnX++eezdu1aDh48yLBhw/D7W191PqVOR+L466mYP5+gs2YHFFVcHNaLL0Khar6JqJEUVhfy2M+PseTAksNjWZYsXjnnFdrb2scusHpQKrVkZt5Abt7HQKDWfHb72yR5SjQvGj2kdIOLnw11bdAYQ92JROyZU+CMu+HHp2vPnXZzKKGopfH74OAq+GA0VP+v+5RCCaffDmfeGyrS0RyZk6HPaFgTpnVfctfW0SLzf+SORjOiUWmI08dJ4lQTolAoGJwxmOnDptPW0hYAg9rA+B7jefKsJ0kwJMQ4wiioOAjvjqqZOAWweQH89AL4mmnbEKUSel4Jg+480jcYID4bbvgCbG1jF5sQ9WDSmIjTx0niVFNiSYOxH8IpN4R2ZkDoBPT6BZBxSkxDixbXhg0UPv304cQpgIDDwYE/34kv92AMI6sfS4KeUff0Iz7tyLmZQgE9zsqg19A2qFRyqi2aH5VSQZxJK4lTTUyXVDP/vmUQ3dNDO+Y1KgVXntKGuTcPJM3WPBNQ61LqcHPn+2tqJE4BrN5Xzv0frqX8GO2omrJebWw8NrIHes2RY0SSWcs7Nw2gTbzcABbNk1GrJt6klcSpJiTepOWxUT24c3hHLLrQtWCGTc+/ru3Lxb3TW+R56v7Sam6ft/pw4hSA2xdgyoKNbMmvimFk9ZNo1vHS6H6c2r5mtffhXZOZOrKHnLOJ46I8RoWyY81Hg0KhQKEMfReNHTuWtWvXsnv3bhwOB88//zxKZe3vKbs91P54xowZrF279vDPhg0b+OWXXw4/LhAIsGzZMlQqFTt27KjxGp06daKiooL8/CPJpWazmY4dO9KuXbtofNRmQ9O2Le0/eB/joWQ3hQLTsGG0mzcPTZuWV3HC6XPy8pqXayROAeyr2sct395CQXVBjCKrP4Mhi969XkOtPpJUqFKZ6dF9OkZjTgwjE6Ie1HowJkriVFOiMcDAW+Ci545UmTImwLmPw5DJzbsSUySVB0Jr5IcSpwCCAfj5Zdj6Veziqi+tCYb/H/S4PLTAcUh6XxjzbzC30GIxYchKqhD1ZNVZOafdOfRO7o3L50KtVJNkSEKjaqE3L0p3QlXtnYsArJ4Ng26H+GZ6oWlOhmEPhTKiHYWhA78puflW0xJCNF22tnDhP2DI/RDwhsqittAytr6KCopffjn8pN9P2YcfkfrA5Ga7gzE+zcRl9/bDWeXF6/GjN2swWrRoDXKaLYRoOAatmtPaJ/DuTQOwu32olAoSzVoMmpb5XVNs94StsAHw865SSuwe4ozNs4JInFHLtadlMrxrCkV2N2qVkiSTllSrHqVScewXEEKI45Ri1XPXOZ0YPSALrz+AXqMi1dryEm4BPL4As5fvIRgMP//i99t57Tprs000ahtv5M1xp1LicFPl9GEzakgyabE102OhaHxKswZdp7iwrft0neJQmqPzbyMnJweNRsOKFSvIysoCoKKigm3btjFkyJDDj7PZbHTs2PGYr5eamkpGRga7du1i7NixER/3zDPPsGXLFpYsWcL555/PrFmzuPHGGwG46qqreOihh/jnP//JCy+8UM9P2LIo1Gr0XbrQ5qUXCVRWgkKBymZDZbHEOrSoKHGW8Pmuz8PO5TpyybPnNdvOIiqVgcTEYQwc8F88nmIAtNpEtNoUlMrmeSwUQjRRpiQ4dQJ0vShUXEOlC62pKpvnvf5j2vE9eJ3h55b8Azqd23zXlC1pcMm/QklU1aWgs4AxqUV2SqlLg95p3b9/P48++ihvv/12Q76sEM1Cc+6DfULKwvc9B0IHRl+Eg0ZzoTOHfhLaxzoSIURLpzGE+mG3cEG3G++ByNWlPDu2E/R6m23yFIDRpsNok3YZQojoSzTrSGwF7Xnsx2gdU+WOTmuZxqLTqGibYKRtglSVFkJEl0alJKOZtjo9EW6fn51Fjojze0urcXr9zTZ5CiDBpCXBJMlS4uSojBrir+xM2SfbaiRQ6TrFEX9lZ1TG6PzbsFgsjB8/nsmTJ5OQkEBKSgqPPvooSqWyVuu84zVt2jTuuusubDYbF1xwAW63m5UrV1JWVsZ9993HmjVrmDJlCh9//DGDBw/m+eef5+6772bo0KHk5OSQlZXFc889x913301paSk33HAD2dnZlJaWMnfuXABUzfj+RENQ22xga5mtwY/m8rnwBSJfV+Q7ImwgbyaUSjV6fQZ6vbQGF0JEmVIJ1lbyXVOwMfJcxQGo47jSLBhsoZ/EWAcSOw1ao7m0tJQ5c+Y05EsKIZqapM6R53RW0JgaLxYhhBBNntJgQNs58rFD368fCq0sAgghhDgiro4FPIUCbFLdTwghxFEMGhV92kZe6O+ebsOklWOHaN3UcToSRncl9b7+JN/eh9T7+pMwuivquOgm5j///PMMGjSISy65hBEjRjB48GC6deuGXn9ylfBuvvlmZs6cyaxZs+jVqxdDhw5l9uzZZGdn43K5uO6667jhhhu49NJLAZg0aRJnn30248aNw+8PtfW88847+eabbygqKuKqq66iU6dOXHTRRezevZuvv/6aXr16NdjnF02XUWNEr4r832FbS9tGjEYIIUSzkDkw8lxSZ1DJOkdzd0JXjZ999lmd87t27apXMCJGqgrAng+OIrC2CbUNMrbilEJRt/h2kNQJirfXnht8d/MtRyiEOG4BlwtfcXGompBCgaZNG9TJSSh1Lb8ShjhxKouFlLvuZM+yZbXmFHo9cSNHolA2aD6/EKIJKrG7Kba7ya90k2TWkmzRkWJpma2DRP0lmLSc0y2F7zcX1pq7uFc6Sa2g+pYQrZ3PH6Cgyk1uuRO3109mgpFksw6jThJgRG1qlZLRA7KYs3wvHn+gxpxCAXcO74hJ/tsRApVRE7UqU5FYLBbee++9w392OBxMmzaNSZMmAbB48eI6nz916lSmTp1aY2zMmDGMGTOm1mOD/gDr164Df5CAx49CqUChVrJgwYJajx0xYgQjRow48Q8kWowkQxJju43lrQ1v1ZrrEt+FNJOscwjR4gWDUJULlXngKoe49qE2dIa4GAcmmqx2Z4AhHpxltedGTA3lWIhm7YSuGi+77DIUCgXBSA3k4aTLrYoYKdkJ866Bkh1HxrKHwGWvg61N7OISTZclDcZ+DJ/eBvuWh8bUOhh4G5wyHlTNtwS6EOLY/FVVVH75FQVPPEHQ4wFAodORNm0qlnPPRWWS6nOiNm3HjrT513Typ07DXxa6sNBkZpLxzNNoMlpJSV8hWrHccid3vb+GlXuP3FjolGJm5vhTaZcoxw1RW5xRyxOX9USv3sxXG/IIBEGpgJF9M/jrBd2addslIcSxubx+ftlVwp3z1hxu06lSKrjz7I5cf0Z7aV0mwmqbYGDuzQO478PfOVDmBCDZrOPJK3qRkyznG0LEypo1a9iyZQsDBgygoqKCxx57DIBRo0Y16PsE/QH85W4CzqPa5agUqBMNKDQn3yZQtFxalZZx3cfh8Xv4YOsHeANeAE5PP51pZ0wjyZAU4wiFEFEVCED+7zDvWrAXHBnvMxpGTANLauxiE02XrS3c+CV8fBMUbgqN6ayhxKmsM2IammgYJ5Q8lZ6ezquvvhrxxHbt2rX079+/QQITjaAqH+ZdHUqgOtruH2HhX2HUK6CzxCY20bTFt4c/vQfVJeCtBn0cmFNBI9UDhGjp3Dt3kv/oozXGgm43eQ/9FV2nThh69IhRZKIpU5lMWEaMwNCnTyh5SqVCFR+PJjk51qEJIaKs0unl/+ZvqJE4BbC90M6kd1Yx9+aBJFukipCoLc1m4J9X9mby+V2wu31Y9GqSzFpMOkmcEqKlyy13cvOclfgCRzZv+gNBpn+/nW4ZVs7vIZUgRG1alYoB2Yl8ctsZlDk8BIF4o4YUix6lUpImhIilZ599lq1bt6LVaunfvz8//fQTSUkNl5gSDAbx2701E6cA/EF8xU40KUZQy/eAqC3RkMhdp9zFmG5jqPJUYVAbiNfHY9NFbgUrhGghKg/AnJHgrqw5/vv7kJADZ94HKqlcKv5AoYCU7nD9Z6E1cr8nVInKkibFRVqIE/pX379/f1atWhUxeepYValEE1OVVztx6pDNn4eyJCV5SkRiTAj9CCFaDb/DQcmMGRHnS99+m/QnnkSpl0VwUZtCpUKTloYmTRa7hGhNSuxufthSu/UawNaCKortbkmeEhGZ9WrMerlZKURr8+magzUSp442/bttnNYungRp3ykiSLXqSbXK5j4hmop+/fqxatWq6L6JP0jA7g0/FwgS9AZQqJXRjUE0W3q1nraWtrEOQwjR2HLX1E6cOuTnV6DvmFCVISHCMSeHfkSLc0J3ISdPnozD4Yg437FjRxYtWlTvoEQjqSqIPBcMgCfy37UQQojWJ+h24923P+K8Z+9eAi6nJE8JIYQ4zO7x1zlf6vA0UiRCCCGaA18gwNb8qojzB0qduP2BRoxICCFEUxcMBqGOTf1Bnxw3hBBC/EHxjshzrvJQRSEhRKtzQslTZ511Vp3zJpOJoUOHHv7zgQMHyMjIQKmUrP4mqa6MWZVWqk6JJs9fUUHA4QCFAlVCAkqdJGwIEU1KoxFdj+64t28PO6/v1Rul0djIUQlxAgKBUA/7gC90riO964WIOqtejVqpiFhBJEWqTokmzuH2UeEMVTKwGTSYdFIJS4hoUiuVnJadwDebwm/465puwaBRNXJUQpyYwioXXl8AlUpJqkWHQiHtwoSIJoVCAUoFRLjmUGhkfUo0bW6fmzJ3GYFgAIvWgkUra3NCRF1Gn8hzljRQSyVT0cQ5isHrBKUKTCnSZrKBRPW32L17d9auXUtOTk4030acLHMqZA6E/b/Wnjv1ptC8EE1QwOvFs2MHBf/4J9W//opCp8N25RUk3XwzmoyMWIcnRIul1OtJnHATlZ//F/x/qCSi0ZBw3ViUWm1sghPiWOxFsPE/8NOzYC8M9a4fMQ2yzwr1JRdCREWyRcfV/dvy/oralQvP7JhIorRdEk1UMBhkT4mDp7/eejiJ44Ieadx/fheyk0wxjk6Ilu38Hqn867vt2N2+WnOTz+9KnFGuOUTTVF7tYdmOYp5euJW9JdWkWHTcObwTF/VKk3MeIaJJpUBl1eIvd9eeUyulZZ9o0vLsecxYP4MFOxbgCXg4Pf107j/1fjrYOqCWhXAhoielG1jbQOXB2nPDHgZLeuPHJMTxcNshby0s/Bvk/Q56Gwy8FU6dEEr8E/US1bPGYB2lUkUTYE6Gq2ZBlwvh0A4olRYG3Apn3gsaQ2zjEyICz+7d7LnmWqp/DSX+Bd1uyue9z74JN+HNz49xdEK0bNp2WWTNmIE67chJmDojg6y3ZqLJzIxhZELUwVUBi5+Crx4IJU4BlO6CD8fBxvngr70wJ4RoGEatmnvP68zYAVmolaFrDqUCLuyZxrNX9yHBJAvgomnaX+bksleW89WGfPyBIP5AkC/W53HFq8vYX1od6/CEaNHaxBn596TT6ZBsPjyWYNLy0uh+dEuXSgyiafL6/SxYm8sd89awtyR0nCiscvPIgg289MMO7C5vjCMUouVSKBQoDWpUVu2RdQ5AoVWhSTJI8pRosvId+dz0zU18tO0jPIFQi7Bf8n5hzBdj2FO1J7bBCdHSWdvA+M+h7YAjY1oznPs4dLu4xvFEiCZl/28w++JQ4hSE1j6W/BM+vQUcRbGNrQWQtOXWztYGLn8z9I/J4wC9FcwpoJG2SyL6/AE/Rc4ifAEfWpWWZEPyMUuZ++12CqdPJ+itfdPJs2cPzg0b0KRJZq0Q0aLU6TAOOp32//4Af3k5AKr4eDQpKbENTLQafrsdf0UFBEFls6KyHMcCmqMYVr0dfu67qdDp3LrbGQsh6iXFoufhi7txy9Acqlw+TDo1iWYtFr0m1qGJVqKg0oXbF0CjVJBi0aFS1b2A5vMH+PeK/Yfb9R2trNrLp2sOcsewDsd8HSHEyVEpFfRoY+ODSadTVu3B5w8QZ9SSatWjUsoihog+p9dHqd1DIAhmnZr440j2Lqx088zCrWHn3vl5DzcObo9Zzn2EiBqFSonSokVp1BAMBEEBCqUChZyviUZSXOWm2utHpVSQbNahPY6kvbWFa9lfVbtKsyfg4dU1r/L4mY9j0kjVWyGiJrEDjPl36N6xzwWGODCngVo2+olG4POAozC0sVtrOL6OYFUF8NXk8HO7FkPFQTAlN2iYrY0kT4lQwpTeGusoRCtT4izh852f8/aGtylzl5FqTOWOvncwLHMY8frI7ZMCdjvVy3+OOF/11ddYR4yIRshCiP9RKBRoUlPRpEp7V9F4gsEgnt27KXj6GRxLlgBgOvNMUh98AG1ODgplHTelSndBpIqornKoLpXkKSGizKhTk6WTy0/RuMocHpZsK+KZhVs5WO7EZtAw8axsrj0ti2RL5PZJlS4vP2wpiDj/zaZ8rj+9HXFSOU2IqEq26Or8typENBwoq+aFb7fx2e+5eP1B+rS1MW1kD7qmW9FrVBGfV17tDdtqEiAQhANlTtolygK4ENGkUChArUDSbEVjsrt9rN1XxrTPN7G90I5Bo+La09py69AOpNkid3cJBAIs3LMw4vzyvOXYPXZJnhIi2owJoR8hGlNlHvz8MqyaFSpuk9QJzn8KMgfWnbPhsUPJjsjze5dDRt8GD7c1kbR7IUSjs3vsvLb2NZ5b9Rxl7jIACqoLmLJ8Cv/Z/h88fk/kJyuVqKyRq4yokpIaOlwhhBBNgPfAAfaMHoNj8eJQIlQwiOOnn9hz7Z/wHjhQ95N1x6hOpZZFOSGEaGm8/gALfj/IPf9ey8FyJwAVTi/PfrONp77cHLaq1CEalRJrHdVB4gwaNNL+RQghWpy8CidjZvzKJ6sP4vWHNl/8fqCCK1//mZ2F9jqfe6wKI0Zt5MQrIURkU6dOpW/fvrEOQ4iI1uwr47q3fmP7/44TTq+f2cv3cuvc1RRVuSM+T6lUkmhIjDhv1VpRKuSaQwghWhx7EXxyUyh5yuMIjRVvh/eugj1L636uUh36icQU+bgijk9Uj7zHar8lhGidSl2lfLjtw7Bzb6x7gyJn5J6s6sRE4seNizgfd/ll9Q1PCCFEExP0+6mYP59ARUWtuYDDQdn7HxAI0871MFtbMESoapjRD0ySeCuEEC1NYZWb5xZuCzv3nzUHKbZHXsiw6DVMHJITcf7ms3IwSSU1IYRocdbuK2dfaXWtcX8gyD++3kJlHYm3CSYt3dLDb9pINGlJs+obLE4hWpJhw4ahUChQKBTo9Xq6d+/Oq6++GtX3VCgUzJ8/v9b4DTfcwGWXXRbV9xYtS1GVi6mfbQo7t3Z/OXtLHHU+/8pOV0acu67bdXUmVwkhhGimKvbD3mXh5xb+FaryIz/XmATdR4WfU6qh7cD6x9fKRTV5KhipPYoQTZjT5+RA1QG2l23nYNXBuqsgiZOS78gnSPjvB6fPSYW79uL4IQqVCtuoURhO7V9rLmXy/Wgy2jRYnEIIcbx8xSW4d+7EvWMnvuLiWIfT4vjtduxLfow471i6lEBVVeQXsKTD6A9A84dy6aZkuPxNMMrNKCFE4/L4/Bwoq2ZrfiX7SqqpjtDmR5y8imovVXX8Xo+1kNE3M44r+9W+trjm1Lb0amOrd3xCCHGiyqo97Cqys62givwKl9x3jYJvNkVu2frrrlIcdRxXEs06XvxTPxL+0NLVoFEx4/pTSZXkKdEEOJ1OiouLOXDgAMXFxTidzliHBMDEiRPJy8tj06ZNXHPNNdxxxx28//77sQ6r2Qv6/Xjz8nBt245n7178dd03ESel2uNnZ1HkyoS/7iqt8/ltzG24q99dtcZPSzuNC7MvlMpTQojG56qE0l1QsAkqDoDfH+uIWp4DKyLPle0JteaLRGeCEVMh4Q8b/pQquHo2WNIaIMDW7YS3Su7Zs4dvv/0Wj8fD0KFD6dmzZ8THbtq0iYyMjHoFKERjKqwu5OU1L/P5rs/xBXzoVXrGdBvD9d2vlyz/BnSsPt06Vd3tkzQpKbR94QU8+/ZR9d33KK1WrOeOQJ2aispyjNZMQgjRgIJeL65Nm8n929/w7NwJgDa7PelPPIG+Z0+UWu0xXkEcD4VGgyohcu95VVwcCk3k9kooVdDmVLj9F9j9IxRuDvUPb3tqqCqVEEI0omK7m3eW72Hm0t1Ue/yolQou7ZPOgxd0Jc1mOPYLiOOi09S90FBXWz6AJLOOhy/pzg2D2/P1xnwUKLigZxoZcXoSTNLuVQjRuHYU2nngk99ZvbccgFSrjsdG9WRwh0TMx/g+E8cvzRr5+z3OqEGprLvLQqdUC5//+UzW7C9j9d4yuqRZOKNDEuk2/TGfK0S0VVRUsGDBAnbt2nV4rEOHDowcORKbLXqJ4VVVVdx6663Mnz8fq9XKAw88wIIFC+jbty/Tp08HwGg0kpYWWuybOnUq8+bN47PPPmP06NFhX3PmzJk899xz7N69m/bt23PXXXdx++23AzBhwgRWrlzJihUr0Ol0eDweBg4cSK9evXjnnXei9jmbGl95OVXffkvRc8/jLy8HhQLT4MGkTX0UbVu5D9JQ1EoFOrUSty8Qdj65juMKgFVn5U9d/8TwrOF8t/c77F47w7OGk2nJJMkgVdKFEI2sfB98eT9s/waCwVAnh7P/Bj2vAmPke/PiBJmSI88p1aA8xvVdXBbc8AUUbISdiyAuEzqdB9Z00MiGjfo6oeSpRYsWcckllxzekaBWq3n77be57rrrwj4+MzOz/hEK0Ugq3BU89vNjLDmw5PCYy+/i7Q1v4/F7uOuUuzCoZTGjISQZkkgxplBYXVhrrmtCV+L1EVorHUWdnIw6ORlj/9oVqIQQorF4Dhxg77hxBD1HqhR6du9h7/gbyJk/H12HyC1/xPFTGY0k3ngDjh/DV59KuPmmYyfPqtQQ3z70I4QQMeL2+Zm1dDevLN55eMwXCPLpmlyKqty8OPqUWhUrxMlJNGnp3y6eVXvLas0lmLRkxB372i7BpCXBpKVX27goRCiEEMfnQFk117zxM6WOI9ccBZVubnl3FR/ecjoDsmWzX0O5/JS2vLZkV9i5m87MJtl87OTZNvEG2sQbuKS3bCgWTYfT6ayVOAWwc+dOPvvsM6666ioMhujc977vvvtYtmwZn332GampqUyZMoXVq1fTt2/fiM8xGAx4POG7Qbz33ntMmTKFl19+mX79+rFmzRomTpyIyWRi/PjxvPjii/Tp04eHHnqIF154gYcffpjy8nJefvnlqHy+psqxdBn5j0w5MhAM4li6lH03TqDd3HfRpKbGLrgWJNGs48pT2jLvt3215tRKBQOzj51sYNFasGgtdIjrEI0QhRDi+FTlw9wroXjbkTFnGXw5GVR66HcdKKUaXoNo0x/UOvC5a8/1uBJMx5E8a80I/XQ6t+Hja+VO6L/yRx55hHPPPZeDBw9SUlLCxIkTeeCBB6IVmxCNqsRVUiNx6mgfbP2AYqe0YWooKcYUXhr+EmaNucZ4kiGJp4c8TYJeMpiFEE1fwOul7P0PaiROHeb1Ujp7FgGXq/EDa6F0XbuSMH58rfG4a67B0KtXDCISQogTV1jpZubS3WHnlu4ooagqzI0TcVLijFqeu7oP6baau+6MWhVv33AqadI+SQjRTPy8s6RG4tTRnvpqC2UR5sSJS7fpeeLynij+UCTqzI5JXN6vjVSPEs2Ww+GolTh1yM6dO3E46m5nfLKqqqqYM2cOzz77LOeccw49e/Zk1qxZ+CO0APL7/cydO5d169YxfPjwsI959NFHee6557jiiivIzs7miiuu4N577+WNN94AwGw2M3fuXF555RWmTJnC9OnTeffdd7FarTVeZ/To0ZjN5ho/7733XsP+AmLEW1hI4fPPh5/bvx/3zp1h58SJ02tU/Hl4R7qn19zQp1YqeG3sKdKyVQjRfJTuqpk4dbRFj4eSq0TDsKTDn+aB6g8VppK7wjmPgLbu7k0iuk6o8tSGDRtYvnw56enpADzzzDO88cYblJSUkJgou5xE81ZUXRRxzhfwUeWRnuANRaFQ0DWhK5+M/IT1RevZWbGT7ond6ZLQhXRTeqzDE0KI4xKorsa5elXE+eo1awlUV6PUy42ShqCOjyfp9tuwXXUljiU/EgwEMA8dgjo1FXVcXKzDE0KI41Ll8kVs6QCh6iJd0qQNdUNpn2TiP7edwZb8Stbur6BDsol+WfFkxBlkAVwI0Wws3RF5M9/Gg5W4vOGTEMSJs+g1XNa3DWd0SGTJ1iIqXT7O6pREZoKRpOOoOiVEU+U6xsauY82frF27duH1ehkwYMDhMZvNRpcuXWo87tVXX2XmzJl4PB5UKhX33nsvt912W63Xczgc7Ny5k5tuuomJEyceHvf5fDVaDw4aNIj777+fxx9/nAcffJAzzzyz1mu98MILjBgxosbYgw8+GDGxqzkJulz4cnMjzjvXrcN8xhmNGFHLlhFnYPaNA9hd7OCXXSWkWPSc0TGRVKsevUYV6/CEEOL45K2LPGcvBG90Eq1bJbUW2p8Fd6yAPUuh4iC0PwOSOoUSq0RMnVDyVGVlJUlJR0qFGY1GDAYDFRUVkjwlmj2bru7e7ka1sZEiaR2UCiUZ5gwyzK2jjHnQ78dXWIivtBSCQdSJiaiTk1GoT+hrWAjRhCh1OtRt2sCGjWHnNRnpKHRyg70hqWw2VDYb+k6dYh1K43BXhS5OXeWhHSfGZDDJObcQzZlBq0KhgGAw/HyiWVr2NbT0OAPpcQbO7to6WpMUVLoosbvx+oMkmLSkWHToZNFGiGatY7I54lyaTY9KJcmgDcmkU5OtM5OdFPn33pI4PT6K7R5KHR50aiWJZi3JFtkA1NLoj7Gp61jz0TZ27FgefvhhDAYD6enpKCO0BbLb7QDMmDGDgQMH1phTqY6c7wQCAZYtW4ZKpWLHjh1hXystLY2OHTvWGLNYLJSXl9fjkzQNCo0GpclEIEJFMW1mViNH1PKlWPWkWPUMzGkd92yK7W5K7B6cXj8JRg1JZh1GnaxzCNGsxdVxbNAYQm3mRMNR6yAhO/TTGvg9UFUAjiJQqsCUHEoU+2PJ3ybghI9mCxcurJHFHwgE+P7779mwYcPhsZEjRzZMdEI0oiR9Eu2s7dhbubfW3MC0gcTr42MQlWgJAi4X1b+tIPfBB/GXlQGgtFpJf/wxzGeeidIkJRiFaI6Uej1JN92EfeE3YecTJ05CJf++xcmqyodvH4X1/z6SZdF2AFw5E+LbxTY2IcRJSzJrObtLCj9sKaw11zbeQLrVEIOoREvgDwTZlFvBbe+t5kCZEwC9Rsn953XhylPaEm+SxDwhmquLe6cz/fvt+AO1M2//PLwjKZLoIk5Sid3NrGW7efPH3Xj8ocqYHZJNvHZdfzqnSiXMlsRkMtGhQwd2hmnX1qFDB0xRuneRk5ODRqNhxYoVZGWFFmUrKirYtm0bQ4YMOfw4m81WK5EpnNTUVDIyMti1axdjx46N+LhnnnmGLVu2sGTJEs4//3xmzZrFjTfeWP8P1EyokpKIv24sJW+8WWtOYTRi6NM7BlGJlmJ3sZ3b31vN5rxQpxa1UsF1p2fx5+GdpEqjEM1ZWk/QWcFdWXvulPFgbh0b0kQUOMth0wJY+DfwhBLhsaTDVbOg7am12xfGWPgU/jqMHz+eyy677PCP0+nklltuOfznyy+/PBpxChF1ScYkXh7+Mm3MbWqMd47vzGODHztmZSohIvHu38/+2247nDgFEKis5OA99+Lesyd2gQkh6k3bPpvUR/4Pjq4ip1KR8sBk9J1bSXUk0fC81bDkaVj3Qc3yNAd+g/f/FKpGJYRolix6DX+/rCe92lhrjKfb9My64TRSbbIALk5ObrmTP735y+HEKQCXN8Dfv9jMr7tLYxiZEKK+MuIMvDmuP3pNzdu4YwdmcU7XlBhFJZq7QCDIl+vzeHnRzsOJUwA7ixz86c1fOHjU8UQ0fwaDgZEjR9KhQ4ca4x06dGDkyJEYDNFJ4LdYLIwfP57JkyezaNEiNm7cyE033YRSqURxkpUGpk2bxlNPPcWLL77Itm3bWL9+PbNmzeL5558HYM2aNUyZMoWZM2cyePBgnn/+ee6++2527drVkB+tSVNqNMSPHYv5nHNqjlutZL01E01aWowiE81dfoWTsTN+PZw4BeALBJm9fC/v/boPrz9yi3ohRBNnbQPXLwDDHwqJdBwBZ94jlafEycv/HT6/60jiFEBVHrw7Csr3xy6uCE6o8lQgIAc+0bK1t7XnnQveIdeRS74jn0xLJqmmVJIMScd+shBhBDweSt+dC35/7clgkJI33iDjH/9AaZS2kEI0RyqrhbgrrsA8ZAjubdshGEDXuTPqxESpKidOXlUhrHkn/FzhJqjMBbMslAnRXGXEGZh1wwDyK13sKXaQZtPTNt5Amk2qTomTt3hrIQ5PmGsO4NlvtnJq+3jZCS5EM6XXqDirUxLf3TeUnUV2HC4/XdItJJu1WA1SVU6cnMIqFy9+H76dWanDw8bcCtrEy7lJS2Kz2bjqqqtwOBy4XC70ej0mkylqiVOHPP/889x6661ccsklWK1WHnjgAfbv33/SrQJvvvlmjEYjzzzzDJMnT8ZkMtGrVy/uueceXC4X1113HTfccAOXXnopAJMmTeKLL75g3Lhx/PjjjzXa+7VkmpQUMp74O9577sazYyeq+Dg0WVloUlNRtJLfgWh4u4sd5Fa4ws7N/HEXV53SVo4dQjRXShWk94Vbl0LpbqguhqTOYE4DU+toSSqioLoUfngi/JzPDes/hGEPNW5Mx9CgTWgDgQBffvkll1xySUO+rBCNKsWUQopJFiRFwwg6nbi2bIk4796+g4DTKclTQjRjSoMBbWYm2szMWIciWgpPFfi9kecrDkBG30YLRwjR8JIsOpIsOnq2keq2omGs3V8ecW5XkV12gQvRzGnVKtrGG2kbL/cORMNw+wIU2d0R5zfmVnJeD6lO09IYDIaoJ0v9kcVi4b333jv8Z4fDwbRp05g0aRIAixcvrvP5U6dOZerUqTXGxowZw5gxY8I+fuPGjbXGFixYUOPPwWDtNqgAs2fPrjOW5kYVF4cqLg59J6mMLhrG9kJ7xLkqtw+XN/xmDiFEM6FUgq1t6EeIhuBzQfG2yPO5q8HnAXXT2RR0wm37wtmxYwd/+9vfaNu2rbTtE0KIoygMBnRdOkec1+bkoDjJnVZCCCFaKJ0FlHXscbC1iTwnhBCiVerdNi7iXHaSCY2yQW7/CCGEaCG0aiVJ5siLFF3TLY0YjWjJ1qxZw/vvv8/OnTtZvXo1Y8eOBWDUqFExjkwIcaI6JJsjzpl16lothoUQQrRyaj0kdog8n9anSSVOQT2Sp5xOJ++88w5DhgyhS5cuLF++nClTpnDgwIGGjE8IIZo1pVZLwrhxoYztMJJuvQWVtPYSQghxNFMK9Am/i5bkLmDJaNx4hBBCNHlnd0nBoAnfguW+czuTZJGWfUIIIY5Itei54+yOYefijBp6t4lr3IBEi/bss8/Sp08fRowYgcPh4KeffiIpKSnWYQkhTlBOsok0a/iN4BMGtyfFKtccQgghjmJMgLP/L/ycSgt9/tS48RyHE06eWrFiBbfccgtpaWlMnz6dUaNGoVAoePXVV7n11ltJTU2NRpxCCNFsaTIzafvyyyhtR9qyKM1mMp59Fm1OTgwjE0II0SRpjTD8YehxBSgUR8bT+8KYD8Ei59tCCCFqyojT8/6k02ssZujUSiaf34VBHWRxUgghRE1KpYKRfTKYNCQHtfLINUdWgpEPJp1ORpxUSRcNo1+/fqxatQq73U5paSnffvstvXr1inVYQoiTkG4z8N7NA2tUoFIqYMyALMYNaodGFX4zhxBCiFYsox9c9BxojmodbUqG6/4DcZmxiyuCOvqB1Na7d28qKysZM2YMy5cvp0ePHgA89NBDUQlOiJauotpDpcuHQgHxRi0m3Qn9k2wRvH4vlZ5KNEoNVp011uFEhcpgwDzkLHLmf4qvpASCQdSJiaiTk1FoNLEOTwjRjAQDAexlpfh9PlQaDeb4BBRHJ9e0EnaPHbffjVljRqduobvaLGlw6XQY/n9QXQo6c+iiwiQL4EKIE2N3eyl3eAkCVoMGm6H1nX8GAkHKnR4UKIg3Na1y4A1FrVLSp62N+XcMptThxu0LkGTWkWzRoY9QkUoIISIprHTh8vlRK5WkWHSoVa2vDU+120e1x49Bq2qx9+sSzTruOacT1w3MotjhwaBRkWjSkhKhqogQQkTkdYKjGAJ+0FnAlBjriGKi3FVOgAA2rQ2VsmWeg3dIMfPBpNMpdbhxePwkmLQkmbSY9a3vOlMIUT8l9tD3iEqpIMmsRadumd+bdfK6wF0Fah3oW+YaOYY46DcOOp8H9kJQaUJrHOb0iF2bYumErvy2bt3Ktddey9lnn0337t2jFZMQLZ7XF2BbYRWPfb6RX3eXoVIqOL9HKg9e0JV2ia2jhVswGOSg/SAfbv2QxQcWY9VaGd9jPP1S+pFkaHkLwwq1Gk16Opr09FiHIoRophwV5WxdtoRf539EdUU5prh4Bl01mk4DB2O02o79Ai1AubucbaXbmLF+BgWOAvqk9OGGHjeQaclEq2qBi+F6W+inrr7gQghRh93Fdp76cgvfbS4gEITBHROZckl3OiSbW81CeG65k8/W5vLpmoOoVQquG9iOs7umkGZreQvDCoWCNJu+RX42IUTjKK/2sHRHMf/4agsHypxY9WpuHJzN2NOzSLG0ju8Wh9vHriI7ry7eydb8Kjqlmrnj7I7kJJsxt8AkKqNOTZZOTVYruR8phIiC8v2w5GlY9wH4PZDeBy58OvT/j64y0YIVVhey9OBSPtjyAd6Al4tzLubi7ItJN7fMtYBkS2iThhBCnIxqt4/fD5Qz7fNNbMmvQqdWcnX/ttxxdkfS41rHcQOfB8r2wPKXYP/PYMmAs+6DtN6hVnctjUYHcVmhnybuhK74du3axezZs7nttttwOp2MHj2asWPHtsqKB0LUx95SB1e8uhy3LwCAPxDky/X5rNhTxvzbz6BNvDHGEUbf3sq9jP1yLJWeysNj9y2+jwvaX8BfB/yVBEMLPDgIIcRJ8ricrFjwMau+mH94zFFexnczX8VeVsrAy65GrW3ZNy2qvdV8tPUjXlzz4uGx3ZW7+e+u//LWeW9xSuopMYxOCCGangOl1Vz52s+UOjyHx5btKOGyV5bz5d1nkZ3U8hdJD5Y7ufaNnzlQ5jw89tdP19OnrY03xp0qSUZCCHEUfyDIwo35PPjJ+sNjlS4f//p+O9sKqnjy8l4ttnrfIT5/gCXbirhj3mqCwdDYrmIHCzcW8OKf+nJhr3Q0rST5WAghjktlLrx7GZTsODKW9zvMuhBu+hbanhqz0BpLYXUh9y2+j9+Lfj889q/V/+LDrR8y+4LZZJgzYhidEEI0PesPVjBm5q+Hz7fdvgBzf93Hqn1lzLlxQOuogpr3O8y+KJR0DFC8HXYvgWF/hdPvAL0ltvG1Yid0tdemTRsefvhhduzYwbvvvkt+fj6DBw/G5/Mxe/Zstm3bFq04hWgxqt0+Xvphx+HEqaMVVblZtLUoBlE1LofXwUtrXqqROHXI13u+5qDjYAyiEkKIpqu6opzVX30Wdm7FZ5/gKC9r5IgaX7GzmJfXvlxr3BfwMXX5VIqdxTGISgghmqZAIMgX6/NqJE4d4vT6eeunXbh9/hhE1nj8/gCfrDpQI3HqkN8PVLBqb8s/dgohxIkoqHTxj6+2hJ37akM+RXZ3I0fU+Aqq3Dz0n3WHF3KO9vCnGyisdDV+UEII0ZTlr6+ZOHVIMAALH4bq0saPqZGtL15fI3HqkDxHHp9u/xRfwBeDqIQQomkqdbh57L+bwp5vb86rYmeRvfGDamz2Qvj8ziOJU0db8g9wFDZ+TOKwk94qM3z4cObOnUteXh4vv/wyP/zwA127dqV3794NGZ8QDcPvB0dRkzhZr3L5WL6zJOL8t5sKcHlb9kJGpaeS7/d9H3H+mz3fNGI0QggRnsflo7rSg9cd+5sc1eXlBAO1k24B/F4vzqqqRo6o8W0t20ogGP53sLtyN5Xu2gm5QgjRmILBIKUONyV2N8Fwd4EakcPj4/stkW+2/LSjmEqntxEjanyl1R4+XRN5U8b7v+3D6WnZ111CiKbP6fVRbHdjd8f+O7nS5aWsOnIc2wta/jVHid1NpTP89V+V20exPcwChxBCNDJnVRXVFeX4/U3gXHbbwshzB34Fb3XjxRIDbp+bT7Z9EnH+812fU+4ub7yAhBAiHJ8b7EXgrIh1JDjcfjbmRr6Pv3R7K9gg7SqHws3h54JByF3TqOGImurdqN1ms3H77bdz++23s3btWt5+++2GiEuIhlO+D9a+D5s+DfXYHnAL5AwDS1pMwlGpFMQbNRRVhd+xl2TRoVa17FaYChShdp8R1pRUClXjBiSEEEdxO72U5VWz6qs9VBQ5Scq0cMr5WdiSjWh0sfl+Uuvqbsmn1rTs9hkAypPP+RdCiKjLq3Dy7aYC/r1iP4FgkGtOzeSCnmmk2wwxiUerUpJYR2ulOIOmxbcdUqBAWcdllaquSSGEiDKX18/ekmpeW7KD9QcqyUowcPvZHemSasFq0MQkJp267mudeGPLv+ZQHOPQcKx5IYSIJkdZGfs3rWfVl/Pxulx0GngGPYediy0lNXZBWdIjz+njQNGyrzmA0DrHScwJIUTUBfxQtgd+fQN2LQJTEgy+B9r0D/3vGFApFRi1KqojbGZLttS9DtIyHOuiQ9bIY6lBz1z69u3Liy++2JAvKUT9lO2FmSNg8ZOhLM6Dq+HTW0I/9oIaD/W4fXhc0a8ukmTWMWlITsT58ae3Q61s2RcVNp2NC9tfGHH+vPbnNWI0QghxhM/rZ+eqIj55ehV71pdQll/N9hUFfPjECnK3l9eoJOL3+3FVO/B5or/72GiLw5oc/mZYQptMDFZr1GOItc4JnVErwuf9d47vTJwurnEDEkKI/8mvcHLDrN+YsmAjG3Mr2ZxXxbTPN3HdzF/JK6/ZMs7p8VPl8ka9MpVOo2LC4OyI87cO7UBcC18ETzBpuebUzIjz1w3MwqCVG1JCiNhYtbeMi178iflrctlZZGfR1iKufv1nPl1zEKfnyL2pQCBIlcuL0xv9+1UJJi1ndQq/iGLVq2mXZIp6DLGWaNKRECH5OM6oIcncGhZzhGhapk6dSt++fWMdRsw5ysv45o0X+eLFp8nfsY2SA/v45ZMPeO/h+ygvyKvxWL/fjddXSSDQCJWpuo+KnFk64BYwpUQ/hhjSqXVc2+XaiPNXdLyCeF18I0YkhBBHKdoCb5wFv70Bxdtg73KYdw0sehKqy2o+1lUFHkfUQ0oyaxk9ICvsnFIBw7q07OMGAIZ4SO8Tfk6hhIy+jRqOqOmEMjSGDx9+zJ9zzjknWrEKcWK8bvj55VpJUgDsWgwFoZJ4jnI3O9cU8tWr6/nilXVs+TkPe5krqqEN7ZzCxb1qV766/7zOreJmlEFt4LY+t5GoT6w1d1Xnq0g31bFjRQghoqi6wsOP/95WazwYhB/e3Yyj3I3f56MsL5dlH7zDp089ysI3/kX+zu24q6N3cWGOT+Cyyf+H3mSuMW6w2rj0vr9iimv5N2ISDYk8OODBWuN6lZ5pZ0wjwZAQg6iEEAIWbytia7691vjOIgffbCogGAxSYnezdEcxd8xbxQ2zVvDW0t0cKItuC4uOKWbuGNax1vhVp7ThtPYt/ztTqVQwsk8GHVPMtebO6JBAn8y4xg9KCCGAggoXkz/6HX+gdiLtE19spsgeqlR+oLSaN3/cxQ2zVnDnvDX8srOEUkf4KuYNwWbQ8MTlvWgbX7Nqol6j5O0bTiO1FewCT7Xqef6aPrWqEyoV8OzVfUhpBb8DIRrbsGHDUChCXQr0ej3du3fn1Vdfjep7KhQK5s+fH9X3aGiluQfZtWZFrXFnZQW/LfgYn8eN11tBReXvbNr8AL+vvYndu6dTXb2XYDCKSVTWDBj1au0EqqwzoP8NoKp385smr1tCN87IOKPWeHtrey7pcAkqpWzYEELEgLMMvnogfELUyrfAnh/63xUHYfU78P418MEY2PIFVIVZV28gWrWKiWfl0PcP92SUCnhpdD9Sra3gfNuUBCNfAo2x9tz5T4IpufFjEoed0JnL4sWLadeuHRdffDEaTWxKSAtx3JwlsCFyv2nWvIMj8XS+nbWZg1uPZNjmbi8noY2JS//cB3O8PiqhJVt0PH5ZT24b1pHFWwvRa1QM65JCilWHVd86/m1lWjOZd/E8Fu5ZyPf7vseisXB9j+vpktCFeH3LTwIQQjRN9jI3fm8g7Fx1hQe304e9dD//nvoQPk9o4SJ32xa2LF3CiIl30P2s4WiO0WLvZCVltWfcP18kf+d2ivfvIbl9DqnZHbEmtY6TaaPayMU5F9MjqQdzNs4hz57HKamncHXnq8kwZ8Q6PCFEK1Xh9PLhiv0R5z9cuZ/zuqfy4g/bef+3I49btbeMN37cxSe3nUFWQpibJQ0g3qRl0tBsRvXLYPHWQrz+IGd3SSHdpie+jpZ+LUl6nIF3bxrAT9uK+XDlfjQqJdcPakf/dvGkWKNzrSeEEMdS5vSQWxF+057HH+BAqZNAAK58bTkljiNVbr/bXMiEwe2565xOUasemJVg5ONbB7G1oIrVe8tpn2Ti1HbxpNv0qFt4u1cItREZmJPIV3efxaylu9mcX0WXNAsTBmeTlWBoFb8D0bJ5vRV4PMX4fFWo1Va02kQ0Glusw2LixIk89thjVFdX884773DHHXcQHx/P6NGjYx1ak7Hpx+8jzm1d/iODr72Gksqv2L798cPjFZWr2X9gNv1P+RCLpVt0AtOZQ9WnMgfCzh+guhQ6nA3x7cHcCqqHAMnGZP4++O+sK17HvM3z8Pg9XNbxMga3GUyaqfYGeiGEaBSuCtizNPL8ju9BZ4V3RkLJjiPjuxZDx3PhslfAHJ22sGk2PTOu78+ekmqW7ygm0azjrE5JpFj1GDStJOE0pQfctgxWzYG9S8HaFs74MyR2Ch1bRcycUPLUP//5T2bNmsVHH33E2LFjmTBhAj179oxWbELUFAxCVR44iiHoB2MSWNJAVUeyUV09tc0pFOypqpE4dUjpQQc7VhfSZ3hm1PpSJ5h0JJh09GwT+wvUWMkwZzC+x3iu7HQlGqUGg8Zw7CcJIcQJ8Lr8VFd5cDm8aHQqDGYNBksdCw3HajeNk4WvTT+cOHW0H95+nXa9+hGXGp0bIwqFAmtyCtbkFDqfPjgq79HUWbQWeiX14onBT+D2uzGqjahbwS5GIUTjKqx0Uerw4PYFSDBpSbbo0Ee4eaOAOq8XDBoVRXZ3jcSpQ4qq3Lz0/XYeG9UDgzY632U2gxabQUvnVEtUXr85SLcZuOa0TC7slYZCocCsk+OGEKJhub1+CqvclDo86NRKEkzaOhM0Fce46LAZNDyzcGuNxKlD3l62h6tPzYxq69U0m4E0m4GhnVvHovcfGTQqOqdamDaqJ06vH4NGhVYtSVOi+XO58ti85a+Ulv50eCwh4Sy6dX0KvT56XQCqqqq49dZbmT9/PlarlQceeIAFCxbQt29fpk+fDoDRaCQtLXQvZerUqcybN4/PPvssYvLUzJkzee6559i9ezft27fnrrvu4vbbbwdgwoQJrFy5khUrVqDT6fB4PAwcOJBevXrxzjvvRO1znihfaSn+0lICTicqmw1VYiIqU+SOFIo61jkUCiVBpYPt25+oNef3V7N5y1/p22cWWm2UNixrTZDYIfTTSiUbkzkn6xxOTzudQDCARdd6r7+EEFHi94XWyKuLQaE6skaurOM8VaEIra2HE5cJv79fM3HqkB3fQv4G6Bid5CmAZIueZIu+VVRGD0ulhoQcGP4IeOyg1oGskTcJJ3TlN3nyZDZt2sT8+fOpqqpi8ODBDBgwgNdff53KyspoxSgE+DyhDNkZZ4f6s745DF4fDBs/DfVhDceUDH0i707x9r2ZDUsORpzftDQXZ5W3noE3Hf7qavzV0W0NcjKUCiVWnVUSp4QQDa660s2y/2znvUd/4eN/rOT9ab/y35d/p6Io8nehOV6HRhd+gdwcr8Pvq6Z4/96w8wG/n5IIc82S3xc6xvpqL9rEmk6tw6qzSuKUEKJBBYNBtuRVcu2bv3DBv35i1CvLGPH8Emb+tIuyCG2SrAYN152eFfE17zi7A1+sy4s4v2BtLuXVLeeaw+n1YXc3zc9j0WskcUoI0eBKHR7eWrqbEc8vYdQry7jgXz9xzRs/szmvkmCEhYp4oyZi1UGdWolRp+LrjfkR3/PbjdFro9HYAoEgVS4vbl8UW0qdJK1aic2gkcQp0SJ4vRW1EqcASkt/YvOWv+L1VkTtve+77z6WLVvGZ599xrfffstPP/3E6tWr63yOwWDA4wl/L+K9995jypQpPPHEE2zevJknn3ySRx55hDlz5gDw4osv4nA4eOihhwB4+OGHKS8v5+WXX27YD1YPnv372X/Lrey65FL2XH0NOy+8iMJ/Po23qDjic3oMOyfiXL8LL8Xu2ACEr6ReVbUen6+8nlE3HT5vALfTRzBM+9tYM2lNkjglhGh47irYND+0Lv7msNA6+YxhoYpFvghtvQ3x0CHysYOU7rDm3cjzK96K/NrNkbsKvE1vjRyVGgxxkjjVhJzU1d+gQYOYMWMGeXl53HHHHbz99ttkZGRIApWInvK9MPdyqDrq5pGrAv4zEYo2h3+OSgMDJkFcmMWMrpeCMSnijSyAYACg6Z2AnyhvQSEVX3/NgTv+zIE7/kzF11/jLSyMdVhCCBFVfq+f378/wMYfc2vcTCncW8XnL/2Oozz8ib/JpmXYdV1rVaBSqhScc0N3FMq6d4kHAk3vpv8J83ugeAd8NxXmXQ1f/AUKNobvjy6EEC3IwXIn17z5M7uLj3zfuX0Bnv1mG4u2FkV83qCcJPpmxtUa75lhpU9mHP46buoHgsEWcMUBxXY3P24r4o731nDznJXM+3UvueXOWIclhBBR99O2Ip5euBW378iC9Z6Saq5982cORvgeTLHqef6aPmjDtIB78vJeqJVKAnXcr/IFwi+ONyfBYJD9pdW8vmQnE2av4C8f/s6qvWWUVze9jRtCtAQeT3GtxKlDSkt/wuOJnLRTH1VVVcyZM4dnn32Wc845h549ezJr1iz8/vD3Tvx+P3PnzmXdunUMHz487GMeffRRnnvuOa644gqys7O54ooruPfee3njjTcAMJvNzJ07l1deeYUpU6Ywffp03n33XaxWa1Q+44nyFRWxf9IkXOvXHxn0+yn/8ENKZ80iECFpLD4tgy6Dzqo1bklMotfw8znWOkZd6yDNhcvhJW9nBd/P3sQXr/zO6oV7qSx2tojPJoQQdSrcAp/cFFoXP8ReAHOvgPJ94Z+jt8H5T4I+rvbcmfeFKh3VtZYR9EWuWtWcVByAlbPg/T/BhzeE2hXaI9/jE6Je2y5Xr17NkiVL2Lx5Mz179kSjqaN9mhAny++H1e+CP8IO5kVPwTVzQB/mAiguE278CrZ8CRs+Ao0RBt4GbU5BY46j++AMDmyp3bYPoMvpaejN0SuD3hi8hYUcuPtuXGvXHh6r/vln9H370vZf09GkRq/kYmMKBAIo6ypNKYRodRyVHtYtqt0iCaCi0ElliQtTnK7WnEqton3vRK7922ms/W4/5QXVJLez0HtYW6xJelyOIPHpGZTl5dZ6rkKhJDkru8E/S6M7uBrmXBpKogLY9zOsfReufBu6XgLq5n1sPCQQCKI8RjKcEKJ1WbW3jEqnL+zc899u48yOSWHbMKXZ9Lw+rj+/7iph3q/7CAKjB2QyKCeJBJOOi3unM3Pp7rCve36PNGyG5n0dXWJ38/jnm1jw+5Fj4y+7SslMMPDBxNNpEx++ukqzEwjUXQ5fCNHqFFa6ePbbrWHnKp0+fttdStsI34G9M218dc9ZzP15L2v2l9M+0cjNZ+XQPtFIEDi7SzI/bAl/U/+8HtFpE96YdhY5uPK15VQ4j9zr+++6PO47tzM3DG6PVd+8j42HybFDNBE+X4TODcc5f7J27dqF1+tlwIABh8dsNhtdunSp8bhXX32VmTNn4vF4UKlU3Hvvvdx22221Xs/hcLBz505uuukmJk6ceFT8Pmw22+E/Dxo0iPvvv5/HH3+cBx98kDPPPDMKn+7keA4exLN7T9i5snnziB8zBm3bNrXmjLY4zr7hFnoMPYdVXy7A43TS9YwhdDztdKxJyairexPaCVh7odtk6oxGY6s13py4nV7WLz7Ab58fua7K21HBmm/3ccXk/iSkR2552KwcSlSoozW8EKKVcVXC4n+En/N7YdVsGDEtVMHoj5I6wy1L4PcPQq34jMlwxp2Q0g10Fuh1NSx9PvxrnzIeNJFbkTcL5fth9sWhAi2HbF8Iva6BC54CU1LsYmtIcs3RoE44eSo3N5fZs2cze/ZsKisrue666/j111/p3r17NOITAvwuyFsbeb54S6jUXrjkKQBbWxgwEXpfA0o16MyHp9I72UjOMlO0z17jKZZEPV0GpjX7RVXHzz/XSJw6xLV2LY5ffyVu5MjGD6oBVRYVsmfdGvasXUVcegY9hp6DNSkZja6ZH9CFEPXmc/vxeSLvyK4orCa9Q/gbR1qdmqRMC8Ou64rP40ejU6JSh1r5meISOO+Wu/jo8YcJ/GGn5BnXjsVoi2uwzxATVfnwn0lHEqcOCQZhwR3Q9tTwFR2biUqnlwNl1fx7xX6K7G4u6pVO/6x40uOkLK4QAtYfiNyu5ECZE48/8nElzapnVN82DO+aAoRaxB2SlWDkwh5pfPWHFkxWg5q/nNcZUzNvJbe72FEjceqQ/aVO5vy8l8nnd0ajCt8St1moPAj7V8DG/4ApBU4ZB3HtQmXVhRCtmtcfYH9p5Cp76w5UcMUpbcPOaVUqOiSb+dvFXXG4/Rg0KnSaI9+Vf7uoG7/tLsPurpnUe1nfDDLimvc9j0qnl2mfb6yROHXI899u4+Le6c07ecpTHdrh/vv7ULIDOgyHjuc06+so0fyp1XW3ETvWfLSNHTuWhx9+GIPBQHp6esRNsnZ76B7+jBkzGDhwYI051VHnm4FAgGXLlqFSqdixY0f0Aj8J3n3hN/oBBF0uAs7ILYVMcXFk9zuVNl17EAj40RlNKP6XZKPRJNG+/e3s2fNKjecoFFq6dX0SrTaxYT5AjFRXeGokTh3irvax9MPtnD+xJzpjM76uqiqAwo2w5r1QNZhTrofEji1nYV8IcfK81VAcfsMGAHm/g88FKnPtOYUC4tvDWZNh4K2g0oL2qM0dp06Adf8O3fc4WpvTIOOUBgk/Znwe+PX1molTh6z/EE67uXl/x/p9ULEfNi2Agyshoz/0GAXWTFA342upJuCEziYuuugiFi1axHnnncczzzzDxRdfjFrdjE9IRPOg0kNqD9i9JPx8YkdQH2PRU6EIe3PbHKfnotv6sGddERv+19qp88BUOg9Iw5LQvG9G+SsqKH//g4jz5fPexzJ0KCpbA+068TpDB3GtCdTR/92VHtzPB48+iLPqSLvQFZ99wiV3P0CH/gNRa1tGZRQhxMlR61SoNEr83vAL3bbkYyfLqDVK1JraN+zSOnRm3D9f5LcFH5O/YyvmhCQGXnEtKe1z0BqaeRJOdUn4CwoIfceX72/Qm/6uai8EQW+K/gl9pcvL+7/t46mvthwe+3J9Pu0Sjcy7+XTaxDfzvzshRL11z4jcyiPdpkcTpr3SH1nCLPYmmnU8dlkPLu6dzoyfdlHl8jGiWwrXnd6OzITmX5Xp3ysiLwB9tHI/EwZnk2ZrmOQpjy+Aw+1Dp1Fi1DbCvYjy/fDuKCjZeWRsxQwY/kjoRpskUAnRqmlUStrEGSK25+tRx3HlyGuoiDPW/o7MSTLz37vO5J3le1i8tQibQcOkITmclp1Agql2Bd3mpLzaw0/bI7cIW76zhA7JYRZ/TlKVy4vfH8Ri0KCK9iZJrwt2fg8fXg/B/12Lbv4MjAlw49eQ3KXu5wsRJVptEgkJZ4Vt3ZeQcBZabXQWD3NyctBoNKxYsYKsrNC9hIqKCrZt28aQIUMOP85ms9GxY8djvl5qaioZGRns2rWLsWPHRnzcM888w5YtW1iyZAnnn38+s2bN4sYbb6z/B2oAmjBVpQ5RaLUoj+O+Urh7TxqNhazMG4mzncaeva/hdhcQF3cq7bImotc3/+TNA1vDdw8B2L+lFJfD23DJU34fuCtApauxET9qqvLh4wmwd9mRsbXvQe8/wXl/B3Ny9GMQQjRdGiMkdgglyoST0uPYa7IqVfj7F3GZMGFhqDLVho9CyVWnTYRO54E1vd6hx1R1Mfw+L/L86jmQNTDy/InyOEJJbDorqKK81hEMQu5qeGdkaG0eYPPnsOQfcP0CyBwoFQzr4YTOJr7++mvS09PZt28f06ZNY9q0aWEft3r16gYJTggg9KXe/0b47U0IhGmjMeyvYDj5BCBzvI6eQ9vS4ZQUgkHQmzXNvuIUhPqYB33h244ABH2+hukH7rZD6U5Y9i8o3g5pvWHQHZCQDZroLEQ77VV8O+OVGolTAASDfPXyc9z4wuvYUpp/GXshxMkzWnX0HNKG37+vfVFhSdRjSTr5JE+1VktSZjvOnfhnPM5q1FotOmMLKw8ecb6OPugnwF7u4sDmMjb8eBCC0PWMdNr3SsQcH73k24IKV43EqUP2llTzyqIdTLm0O3pNM66MIoSotwHtE7Do1FS5a59D3zOiEymWk1+sTrbouaRPBmd2SsIXCGLVq9Gqm/93TjAYxFtHRS5/IEi41iEnyuPzs7/Uyaxlu1mzv5y28QZuHdqBDslmrNFqe+hzw9LpNROnDvnhceh6sSRPCdHKpVj13DOiE5M/XldrzqxTMyjn5Kt8KJUK2ieaeOjCrtw2rCMalYI4Y8vYJHaso4KvjuPKiSiucrP2QDkzf9qF3e3jwh5pjOrXJmIrxQZhL4BPbjqSOHVIdSl8dieM/iCUSCVEI9NobHTr+hSbt/y1RgJVQsJZdOv6VNRaulksFsaPH8/kyZNJSEggJSWFRx99FKVSebhi0omaNm0ad911FzabjQsuuAC3283KlSspKyvjvvvuY82aNUyZMoWPP/6YwYMH8/zzz3P33XczdOhQcnJyGvgTnjhN27ZoMjPx7q99vyru2mtQJ518IptGE09i4llYbX0I+D2o1WZUqua9QfyQgL+Oo0fw8P+pn2AQyvbAmrmh9laGBBh8V2i9I5rVSbZ9XTNx6pB1H0DfMWAeGr33FkI0fXpraB181+Lac0oVnDYhfMu+4xWXCWfeB/1vAIUSTM27UmENgTrWMvye0Pd+fZOMqkuhcDMsmx5Khs0eEqroFdeufn8vdanKg4/GH0mcOsTnCo1PXATWjOi8dytwQn9rU6ZMOemT2nBee+01XnvtNfbs2QNAjx49mDJlChdeeGGDvYdoIeKyYMy/4T8TQ19EEMq2veCpUFZtAzBYWsZNqENUNhu2yy/HtWFD2HnbFVfUv+qU3xPqD/vxhCNj+etg3fsw5kPIGR6VPqsuexUHNof/XH6fj6K9eyR5SohWTq1R0u+8LJx2L9t+yz98DyUhw8SFt/TC3ACtLjQ6HRpd8971XYsxAcypoZv+f6TShk7668le7ubr19dTsKfq8FjBnkrWp5u49K4+UUug+uYP7bKO9snqA/x5eEcypH2fEK1aRpyB9yedzqR3VpJb4QJAo1IwaUgOI7qlNsi1cEtZ+D5EoVBw1amZzF9bu20fwCW9MxrkM687UMHoGb/g/d+iycbcShZuLODvl/XkylPaYIhGFSpHMfz+XuT5jfMhpVvDv68QolkZ3i2FO4d35PUlOw9/R6Xb9Lw5rn+DtIbWqlUkW5p/su3RbAYN/bLiWLOvPOz84A71X6AusbuZ9vlGPl+Xd3hsw8FKZi/fyye3DSIrMUqbX4o2h5Jvw9n/a+iepiRPiRjR69Pp2eNfeDzF+HxVqNUWtNqkqCVOHfL8889z6623cskll2C1WnnggQfYv38/ev3JXfvffPPNGI1GnnnmGSZPnozJZKJXr17cc889uFwurrvuOm644QYuvfRSACZNmsQXX3zBuHHj+PHHHw+f08eqo4omJYXMmTM4eOeduLdtDw0qFFgvuYTEiZNQnuTvpcZ7qK0nuPLX9LXtEh9xLjXHis7YABsqirfDWyPAdVQ7912LYMCkUOJCNL6/HcXw6xuR5399I1RBRNMykuCEECcppRuMfBm+fjBU4QjAEA9XzGiQ+/WoVC2vyp0hAbpfDqtnh5/vN67+iVOuSvhtBix+8shY/jpY+Xaoold67/q9fiTVxVAZ/j4cVfngKJLkqXo4oVOoqVOnNuibt23bln/84x906tSJYDDInDlzGDVqFGvWrKFHj4ZJiBEthEYPOWfDLT+F/tEH/GBOCS3wqlvYwnUDUSgUWM4ZTtncd/Hs3lNjTpvdHsvws+u/AFRVAJ/dVXs84If5t8OkxVH5gg7UUVELwOMKXzJfCNG6mGw6hvypM6dd3B6X3YtGp8Jg0WC0ynEjIkt66ELs/Wtr75Y+7++hY2895W4rq5E4dUhpnoNda4voNaxtgybrH2J3R95p4vYFGqYaoxCiWVMqFfRsY+PTOwZTYnfj8gZIsuhIMmsbp0VcM9Ul1czgDoks21lSYzzBpOXWoTn1rupXWOXi/o9+P5yUcLRpn29kSOdkshKi8fcTDO3ai8RdGXlOCNFqJJp03DasA1efmklxlRudRkmSSUeqTRY5I4kzavn7ZT254tXluH01rznGDswipQGu1/aWVtdInDqkyO7mlUU7mDaqZ3Sqznqq654PV1FfiEak0diiniz1RxaLhffeO5KQ7nA4mDZtGpMmTQJg8eLFdT5/6tSptdalxowZw5gxY8I+fuPGjbXGFixYcPh/5+eHNlalpcVu462uXTuyZs3CV1JKoNqBKj4edUICKoslZjE1daY4HT3OymDjTzUXi1UaJUNHd0FvqmfylKsSvnm4ZuLUIb+9CafeGJ3kqYAfvHUcOzz2BqsCL4RoxvQ26H0t5AwFe2Go4pQpGcxp0atu1Nxp9HDmPbDlc6iueb+K7KGQ3LX+72EvhCVP1R73VsN/74WxH0Xn2OE/xjWF39vw79mKnNC/qPj4+LCLWTabjc6dO3P//fdz7rnnHvfrHcr+P+SJJ57gtdde45dffpHkKVGbUgW2tqEfcVw0aWlkvf02lV9+RfknnwAQd+WVWC++CE1DXCBW5YdO4MOxF4R2TkQheUpnMmNLSaWiMExlFCA1p2ODv6cQonnSGdToDGqof85P66BQQPvBMGkJ/PgM5K+H+HYw5AFI7VHvdqwel4+NSyPsigA2Lc2j02mpGMwNX5lleLcUXlsSpvUSMCgnAbM+yr3IhRDNRqpVT6pVFr2PV7JFzwvX9mXJtiJmLdtDtcfHRb3SGT0gi8yE+rdGKq/2sqck/IKC1x9kV5GdrAZ4n1q0FsgeFtptHk63S8OPCyFaHaNWTVaCOjrfRS1Ul1QLX959FjN+3MXPu0pINGm5dWgH+reLb5CKhQvWHIw893su95zbmXRbFKrOpvWKPBeXBYbGTVoRoilYs2YNW7ZsYcCAAVRUVPDYY48BMGrUqEaNIxgMsnfvXp599llSU1Pp2bNno77/H6kTE1EntqDWSFGmN2kYMDKHrB6JrF64F5fdS0bnOPqdm4U1uQG+z53loVZ9kWz7BlK61/99/siYAF0vgZ9fDj/f6xrQRqlaohCieVFrQ+eTcVmxjqT5SMgOtbBbOQs2Lwh9nw68FTqOAEtq/V9//6+h1n/hHFwJrvLoJE+ZkkLducIl32oMDbIBvjU7oeSp6dOnhx0vLy9n1apVXHLJJXz88ce1kqKOh9/v56OPPsLhcDBo0KCwj3G73bjdR0ofV1bKTk8hjkWTnk7CjTdguyx0QaqKj0fRYK30jlWlIzpVPMzxCYy4+Q4+eerRWgemXuecj8kWuYyvaH3k2CHECdKaQiVlL38d3PbQCbfe2iAvHQxyjENDMFqHDrITTZzRIYHlO0trjGtVSv7vku7YDJI8JULkuCHEiUux6rn61EzO6ZaKPxAgzqhFo2qga45jHBeiVjfQYAtVXZw5vHYLpnZnQGKHaL2zaIbk2CHEiVGrlHRINjN1ZA+qXD40KkWDtratq6hsVAvOmlLgtJthxcya4woFXPRcqNKvELS+48azzz7L1q1b0Wq19O/fn59++omkpPq36DwRFRUVdOnShW7duvHBBx+cdNtAETtGi5acvslkdIoj4A+g1atRaxuqiuCxLjqidPBQaWDARPh9Xqi169EScqDDsOi8r2iWWtuxQ4gGEd8Ohj8Mg24DhRpMDZm4HKNjhzkVzp0GX06uPXfOFDA1QGJYK3ZCyVPjx4+vc75v37489dRTJ5Q8tX79egYNGoTL5cJsNvPpp5/SvXv4DO6nnnqKadOmnUjIQghAoVRGZyeLJT20yH6ox+7RzCmh7NcoyejSnTF/f5af5s0hf+d2zPEJDLz8GrL79kdvNkftfY/J6wQU0oe8CZFjhxAnSWtq8N1tOoOaHmdlkLu9POx8t8EZ6M3RSWJKsuiYfm0/Pvs9l7eX7qbC6eXMTsncd25nspNiVyUgEAji9wRQaRQoGyrRQNSLHDeEOHkJpoavHBhn1NAu0cjeMNWnNCoFHZKjeO6f1CVUjXHRU7Dz+1Cp/IG3Qu9rQjerYsTt8xMIBjFopDx/UyHHDiFOjl6jikr7vFH92vDOL3vDzo3sk0FctDZOGGww7CFoexr89CxU5kFGXzhnKqR0i857HodAIIjL50erUqKWa44moTUdN/r168eqVatiHQZxcXE1kg5E81XvFn3hGOKhwzmw47vw853Pb/j3PCSuHdz8AyydDpvmh1pw9b0OBtwc0y4sfl+AgD+IRheFNrfipLSmY4cQDUqlic49nMzTI8+1OQUMcQ3/ngBqHfS6GuJz4IfHoWQ7JHaEs/8PMk8DTf3boJ80jwOUmlCltGZKEQw2XNrbtm3bOP300yktLT32g//H4/Gwb98+Kioq+Pjjj5k5cyZLliwJm0AVLqs2MzOTiooKrNaGqYgghDgBPg9sWgD/ubnmuEIJYz4MXXDUs8qVo8KNs8pLwB9Ab9ZismlQqY+csLscdrwuF0qVClNcDCtOVebBgRWwek7owHDaTaHKLTFcVDlaZWUlNputVX5fyrFDiKbFXu7iq9fWU7i3qsZ4fJqRkXf3xRxfv+RTn8eNo7wMZ2Ulap0WgzUOky3u8HwgEKTY7sYfDGLRqzHrYlNxyu/zU1XiZtOyXIr2VZHYxkyPszKwJOpRR2EB6WS01mOHHDeEaHpW7C5lzMxf8Ppr3r6YNrIHV5/aFqO2fklEJXY3JQ4PLq+fOKOGJLOu5mu67eCqDF3bmFLqfY1zsoqr3GzOr+Tdn/fi9gW4sn9bBrRPIM3WNDZutNbjBsixQ4impsTu5pEFG/hyfX6N8SSzlk9uO4N2ifXbJOLx+ymq9FDicKNWKkk0aUn943exvRACXtCYordwcgzBYJD9ZU6+WJfH0h1FtIkzMP6M9mQlGLE0kbblrfXYcSLHDZfLxe7du8nOzpZqSTEmfxctXNFWmDkC3H+o5nPazXD2w/VuveRyeHFWefC6/GiNagwWLTrDUdccXhc4SwFFaFO6Kjbf0y6Hl/KCatYtOoDT7iGnbzLteyZhSWw6/83LsSNErjmEiDFXJSx/GX78Z81xjREmfA3pfer3+oEAVOVBdXGoipUpKVTURHnU2oGjBPwuUOmiWtDkmCoOwI7vQ0nAehsMuAWSO4OxabQoPpHjRoMmT61fv55zzz2X/Pz8Yz84ghEjRtChQwfeeOONYz62tR4ghWhS3HYo2QFLXwhlt6b2gsF3QXw2aE++kkcgEKR4fxULZ2ygstgFgEan4vTLcug8IC06O0xOVmUufDAGctfUHO94Hox6uWF659aTfF8eIb8LIWLPXu5m/6YSNv6YSyAQpNvgdLJ7J9U7caq6soI1X3/Ois8+we/1ApCY2Y5L732IxDaZDRF6gwgGg+RuL+ezf60lcFQigFKp4KI7epPZLQGlUhHDCEPk+zJEfg9CxJ7H52dfqZO3l+5m9b4yMuON3DasAx1TzFjrWT1kd7GdP89bw8bc0CKJRqXghjPac8vQDiSZY7hb7w+Kq9xM+ax2IkCXNDOzbxxAus0Qo8iOkO/LI+R3IUTsFVW5WbOvjJlLd2N3+bigZxpXnNKGtvH1qzpb6fTy9cZ8Hvt8E3a3D4A2cQZeGt2P3m1tTaqy09b8Kq5+fTmVLl+N8Scv78ll/drUO/m4Icj3ZUhdvwdJ2Gk65O+ihQsEoHwfrJoNO74NLfgOvgvS+9Z7Qbqq1MWid7ewf/P/Ck8ooOMpKZx5dSdMcU3nmsNd7WXtt/tZ+dWeGuNGm5Yr7j8FW3LsKrcfTY4dIfJ7EKIJqC6Fgo2wbDpU5UP7M2HApFBVQVU9zrW9Tti7DD69FRxFoTFjAox8GXKGNXjHkHop2wuzL4aK/TXHB94GQx+od/JxQziR78sGvUJ666236Nu3b71eIxAISPlUIZoTnTlUgvyy10Jf5lojaOp/495e6mL+82vwuv2Hx7xuPz/9ezuWRAPZvWOYQXu0YBC2fFk7cQpgxzeh8S4XNH5cQgjRhJnjdHQ7I4PsPslAEH0DtHkKBgJs+2Upv3zyQY3xkv17+XDaXxn75AtYk5Lr/T4NwVHu5pu3NtZInIJQ4vB3b2/imodPw5IgN2KFEOIQrVpFxxQzj47sjsPtQ69RNciCb36Fk7EzfiW3wnV4zOsPMuOn3cQbtUwaktNkFsG3FlTVSpwC2JpvZ8GaXCYNyWkSibdCCNFUJFt0nNcjjdNzEvEHglj1alQN8J2+IbeCBz5eV2PsYLmTMTN/YeE9Q+pd1aqhlDk8/O3T9bUSpwAeWbCRwR2TaJcY++QpIYRoMpRKSGgPwx+GM+4MtRzSWer9ss4qD9++vZG8HRVHBoOwY1UhCqWCYWO6oDU0je9je7m7VuIUQHWFh18/283Z13VBo2sasQohRJNgTIDssyCjH/jcoeNGQ7SsK9sD866BwJE1cqpL4d9jYdKPoc5HTYHXBT89XztxCuDX16DvmCaRPHUiTugod99994Udr6ioYPXq1Wzbto0ff/zxuF/vr3/9KxdeeCFZWVlUVVUxb948Fi9ezMKFC08kLCFEU6A11qvS1B/t3VBSI3HqaL8u2ElathWDpQn0TK0ugZVvRZ7/7c3QgbMpZQELIUQT0ZBVBO3lpfz88fth56oryinau6vJJE857V6qKzxh51wOL9VVHkmeEkKIMHRqFTp1w7U23VXkqJE4dbTXf9zJZf3akBEX+4pOHl+Aub/sjTg/77d9XNG/DSkWOXYIIcQf1bdC4dHKqz08+83WsHMub4D//p7HHcM7Ntj71UeF08uqvWVh5/yBIOsOVDSZRC8hhGhSVBowNVybIWeVt2bi1FF2rCxg4KXZTSZ5avfvxRHndq4qZNBlOZI8JYQQ4ejMoZ+G4HPDL6/XTJw6JBiEpdNDXY8acE3+pFWXwLoPIs9v+KTpJHodpxM6yq1ZE6ayCmC1Wjn33HP5z3/+Q3Z29nG/XmFhIddffz15eXnYbDZ69+7NwoULOffcc08kLCFEC5S/K/wFBUBZXjV+X6DRYgkEAwSCAdTKMF+ZwQD4wy+AA6G5YOPFKoQQrZXf46W6ojzifOGe3XToP7DR4vH6A6iVChSK2lVAgoG6u2YH/Q3WVVsIIUQdthVWRZyrdPpwecNv5oiKYDB0YyxMWfcgQdx1XP94fAGCcugQQoioc3r97Ci0R5xfs78Mrz+AppGqFvoCAZQowlYe9B/jwODxNeIxTgghWrHqqsiddoJBcIepEBhNAZ8PpTr80nBday6BQBC55BBCiEbgcUDBusjzhRtCj2ms5KlDSVzKcJsZgxDwRn6u1xmVkKLphJKnFi1a1KBv/tZbdVRrEUK0asntLGz7rSDsnC3FgLIRbkSVucrYW7mXD7d9iMPrYGTOSHol9SLFlHLkQYZE6HU1LH4q/Iv0Hdsg5X2FEELUTaXRYLBYcVZVhp1PysxqlDgOllXz4/ZifthSSIZNz58GZJEZb8CsP7Lj3WDRojWo8Thr3yBTa5UYbU2gsqIQQrQCOUmRdwWadWp0mkZY/HZVQPk+WDkbqnKh68WQPRTiMg8/RKdWcfWpbflhS2HYl7i0TzoJDVjNUQghRHh6tYr2iSbWHQi/4a9Hhq1REqfyK1ys3lfGgrUHseg0jD09i/aJJuKPaoduM2jomGKOmOzVNys+6nEKIYQAg7mOezwK0OqjX8kp4HLhzc2l4tNPce/YifG007Ccey6aNhkolEeOW9m9klj5xZ6wr9G2WwK6JlIhSwghWjStEZK6wMHV4ecTOzdO4lRVARRuhFVzQKGE/jdASjcwH7VGro+DzhfClv+Gf42eV0Q/zgbWONtgBF6/F3+48mpCiLCyeyejjrBYMeDSbIzW6C4sl7nKeHnNy4z7ahyf7/ycH/b9wD2L7+G272+jwHFUUpdKFerZam1T+0WSu0D2kKjGKVquYCBAwFNHVTMhRA2m+HgGXHZ12Dm9yUxqdvTbZ+wudnDZK8v563/W8+2mAub8vJcL//UTn6/Lo9p9JFHKaNMy5E+dw77Gmdd0xhTlY5xoubz+AL6AVLwU4nh1SjGTbNGFnbvpzPakRJhrMG47/P4+vH4mrJwJW7+EBXfAW+dC6e4aD+2XGU/PDGutl0gya7l+UHs0qoZrZyhaj2AwiNvnJyily4Q4LvEmLfedG/48XqtScnm/MPeGGlhuuZPr3vqV299bzcKNBXy8+gCXv7qcVxbtoKz6yD2EJLOOf1zRC3WYqlQTBmeTbI7yMU60WMFgsFGPG1OnTqVv376N9n5CNDSDVUtyu/Cbq7N7J2GwRPceUMDrxfHLL+y6dCQlM2ZiX7SIwqefZvdll+HeWrMVrSVRT06/5FqvodYoOfOqjuiMsmFDnCSfG+R+lRDHR62HQX+GMB0tADjrPtBGuf12VT58egu8ezlsmg8b/wPvjITP7gT7UWvkOjOMeDR8EZEOIyAhJ7pxRoEkT0VZniOPBTsWcM/ie5j28zQ2Fm+kwh25HZkQIsScoGPkPf1qJEkp1QoGjsyhTZfo747bV7mPD7d9WGt8W9k25u+YXzMZMi4LJnwNQyZDXLvQwWDEY3Ddp2CL/o0z0bL4HQ5c27ZR8OSTHLzzLkreeQfPgYOyoCHEMSiVKrqddTb9Lri0xq45a3IK1zz6FJak2jd/GlKVy8tjn2+kyF67HPvDn66vMa5SKWnfO4krJ/cns1sCpjgdbTrHcdlf+tHxlBRUGlkAFyemoMLFNxvzuf291dzzwVp+2VVCcZj/FoUQNaXHGZh380DaJx7ZsadUwJ9Oy+S609tFPyGpKh++ejDMeB58NzWUXPU/aTY9M8efypRLupOTZKJtvIFbhuTw6e2DyUxopFLtosXw+PzsLnbw/LfbuOXdVUz/bjt7ih14/LLpT4hj6ZsZxyOXdEOnPnLNkWDSMmfCaWTE6aP63l5/gHd/3hu2mtTMpbs5UFazLUavNjb+e9eZXNwrnTSrnj5tbbw5rj9/Ht4Bq0EWwMWJCfoDBFw+/KUufCUuAk4fQX/9F8KHDRuGQhFqea/X6+nevTuvvvpqA0QcmUKhYP78+Yf/7PV6GT16NG3atGHDhg1RfW/R+hgtWi6Y1JPU7JobIbK6JzDkT52jXs3JV1hE7l/+An84zws4HOQ+8CC+kpLDYwaLliGjOzPihm4ktjFjjtfRbXA61/zfacSnyTWHOEGBAJTtheUvw7+vg4UPQ+Fm8ERugSyE+J+EbLjmHdAddezQmuGKGZDUKfrvv+cn2BWmI922r2H/ippjCR1g0hI49SawtYWU7jDyZbjslZpVqpoJqbEYRQerDnLjwhvJc+QdHvt0x6fc0ecOxnQbg1VXe9eoECJEpVKSlmPl6r+eirPKg88bxGTTYrRqUWuju4gRDAb5aNtHEec/2vYRl3e6nBTjUV/6cVkw9CE4bSIoAGMyKCU/VZwYv9OF/bvvyH3wocNj9iVLKH7lVdq/Nxddx+hXzhGiOTPZ4jjzT9dzyoUjcVSUodHpMdpsmOMTo/7eZdVeFm8rCjsXCMKKPaW0SzyyI0RnUJPWwcb5k3ric/tRa5Wyg0+clPwKF5PeWcG6g0daVv53XR6j+mTwyKXdSZKqAkLUqVOqhQ9vHUSJ3UO1x0eiSUeiWYtF3wjfyeFuRB2y5XM497HQLr7/SbMZuHFwey7tk0EwGCTepJGKU+KEBQJBVu8rZ9xbv+L1hzZoLN5axOtLdjL3poGc2j4eRaQdrkII4oxaxg5sx3k90iiqdKNRKUgy60ix6lGFqfLUkErsHt5fsS/i/Mcr99Orje3wn3UaFV3TrDx9VW/sbh9albJGaz/R+pR7fRR7fFT6/Fg1KpI0auI0x14iCvoD+MvdBI5qPe9z+VBoVagT9Sjq2a5y4sSJPPbYY1RXV/POO+9wxx13EB8fz+jRo+v1usejurqaK6+8ku3bt7N06VKys7Oj/p6i9bEmGrj49t44q7y4nV70Jg0GiwZ9I3wnew8cIOCoDjvn3r4df1k56sQj981MVh1dTk8nq0cigUAQnUEd9fUY0UIVbYFZF4Ra1QPwDfz2Glz5NnS5CDTRTToXolnTmqDzRXDbcrAXAkEwp4IlFVRRPnZUl8Gvr0ee//V1yB4K+v9Vm1KqILEDnP8kDH0AFCowR3cjezRJ8lSUOH1OXvv9tRqJU4e88vsrjGg/QpKnmjC/34/X6411GAJQG8BiOHIg8AW8+FzR/bvxB/yo/CrStelh500KEx6XB5fSVXtS87+bVDFot6bValFKwlaz5i8uIvfh/6s1HqioIG/Ko7R99RXUcXGNH5gQzYjWYEBrMBCXFv47PFr8gQB1FYir9oSv5KAzqKO+y1C0XMFgkP+uy62ROHXIgt9z+dOATEmeEuI4pFj0pFhicOPW44g8F/BDsHY1B4VCEbHVoBDHo6DSxR3vrT6cOHWI2xfgz++vZsEdg0mzGWIUnRDNg16jIjPeSGZ841bhCAaDuLyRK8TZj2oVfjSTTo1JJ9ccrd1Bl4e/bN3H4tIjFT+GJZh5rksWbfR1L8IFvYEaiVOHxz1+Ak4fKnPk51dVVXHrrbcyf/58rFYrDzzwAAsWLKBv375Mnz4dAKPRSFpaGhBq0zdv3jw+++yziMlTM2fO5LnnnmP37t20b9+eu+66i9tvvx2ACRMmsHLlSlasWIFOp8Pj8TBw4EB69erFO++8U+N1ysvLufjii7Hb7SxduvRwDEJEg8GijXqLvnCCnrqrUgd94Y8dsYhVtCCOElhw+1GJU/8TDML8W+GOFRDfLjaxCdFcqNQQlxn6aUxBP3jDrH8f4q2GQJhjh0YPmuZ/LiVXTVFS7irny91fRpxftG8RHeOkgkhTEwwGyc/Pp7y8PNahiBi7LOEyhhiHhJ0zaoxU5ldSpahq5KjqplQqyc7ORquVC5vmyrVpE0S4YHWuXk2gvAIkeUqIJsmq19A1zcKW/PDHhoHZCY0ckWgNiu0e5v6yN+L8nOV76N8uAa1akquFaJI6DIPvIsy16Q96W4RJIU5esd1DiSP8Zp+CSjclDo8kTwnRRFkNGkZ0S+W/62pv1gW4rG+bRo5INBflXl+txCmAxaV2/rJ1H693bx+xAlUwEMRvj7yRNeDwojSoI1afuu+++1i2bBmfffYZqampTJkyhdWrV9O3b9+Ir2kwGPBE2Jj63nvvMWXKFF5++WX69evHmjVrmDhxIiaTifHjx/Piiy/Sp08fHnroIV544QUefvhhysvLefnll2u8Tn5+PkOHDsVsNrNkyRLi5H6baKG07dqFOmQEam/MUCUloYqTaw4RBc5SyF0Tfs7nhqLNkjwlRFNliIeeV0JBhFbGva8BQ1yjhtSYJHkqSoIE8QYiX1Q4fc6IcyJ2DiVOpaSkYDQapVR9K+b1e8lz5OH219yZoURJpjUTbbTLIp6gQCBAbm4ueXl5ZGVlyX+7zVTAfYydQP7wiVVCiNhLNOv4+2U9ufbNX/AHalZyuKxvm9hUNBEtXiAYxO2rfQP0EJc3QKCukmhCiNiytoVul8Lmz2uOqzRw0bNglMRb0fD8YRbOas7LcUOIpsqkU3PviM4s2lKI4w+VbftlxdE5zRKjyERTV+zx1UqcOmRxqZ1ij6/u9n11XFPUdblRVVXFnDlzmDdvHueccw4As2bNIiMjI+zj/X4/77//PuvWrWPSpElhH/Poo4/y3HPPccUVVwCQnZ3Npk2beOONNxg/fjxms5m5c+cydOhQLBYL06dPZ9GiRVitNbuA3H333eTk5PDtt99iNDZuFTkhGpMqMZHEWyZR8lrtFkxpjzyCOiUlBlGJFi8QuVImUHdVGyFEbClV0Osq+O1NqPrDpo24LOh6CbTgNWhJnooSs8bM6emn80veL2Hnh2UOa9yAxDH5/f7DiVOJR/V4Fq2THj16vZ5ydzllrjICBLBqrSQaEtEqtU0yOSk5OZnc3Fx8Ph8ajSbW4YiTYOjZM+Kctn17VFZp9ypEU9azjY3P/3wmz3+7lRV7ykgya7l1aAeGdUkh3tS0km5FyxBv1HBRr3TeWro77PxV/dui16gaOSohxHEzJcFFz0HHc2H5v6C6FNoNhrP/BolSqVpER5JZh16jxOWtnURl1qlJlHMWIZq09kkm/nvnmby8aAffbynErFMz7vR2jOrbhlSrbNgQ4VX66l7ErmteoVSgNGrwu8M/RmlQgzL8fdJdu3bh9XoZMGDA4TGbzUaXLl1qPO7VV19l5syZeDweVCoV9957L7fddlut13M4HOzcuZObbrqJiRMnHh73+XzYbEeq5wwaNIj777+fxx9/nAcffJAzzzyz1mtdcsklzJ8/nzfeeIN777034ucXorlTmUwkXH89hu7dKXrlVby5uei7diX53nvQde6MQimVqkUUGGwQ1w7Kw1RLVyggrVfjxySEOH5xWXDTQvj1TVj/IaCAPqPhtJvB1jbW0UWVJE9FiVVnZfKpkxnz5ZhalWuGtBlCW0vL/g+rOfJ6Q5XCZKeJOESj0pBkSCJOFweASqlCqWi6FxOH2vX5/X5Jnmqm1ElJxI0dQ/l782pOKJWkTZuKOjk5NoEJIY6LXqOie4aV6df2w+72oVIqSLboYh2WaMG0ahXjz2jPp2sOUvqHFkxd0syc2l6q1gjR5FlSof946HJBaHeuzgo6c6yjEi1YskXHwxd145EFG2vNPXJJN5Ktcu4iRFOmUirITjbz98t7Mrnah1IJSSYdygjJK0IAWNV1b6g41rxSpyKgVhL8Y9VbpQKVSVPvTaZjx47l4YcfxmAwkJ6ejjJCMofdHqqeNWPGDAYOHFhjTqU68hkCgQDLli1DpVKxY8eOsK81btw4Ro4cyYQJEwgGg9x33331+gxCNGXq+Hgs556LoX9/gh4PSqNRNumK6LKkwyXT4b0rapcoHPRnMMk6hxBNXlw7OOfR0L9ZCG0AVLX8tWdJnoqiHFsOH17yIW+ue5Plucux6WyM6z6OszPPJkEvCxlNVVOsKCRiR6FQoGkmBwP5b7f5U1mtJN9+O8b+p1Ly+uv4CgvR9+tHyp13osnOjnV4QojjZNarMevlNFs0jqwEI/PvGMzbS3fxxbp8tGolowdkcmX/tqTZpPqAEM2GOTXWEYhWQqdRMbJvG3KSzTz3zVZ2FzvokGLmL+d1oUe6Fa1KKhYK0RwYNGoMNrnmEMcnSatmWII5bOu+YQlmkrR1/7ekUCtRJxnwV3sJOHxAEKVBjcqsRaGOvNE0JycHjUbDihUryMrKAqCiooJt27YxZMiQw4+z2Wx07HjsqpupqalkZGSwa9cuxo4dG/FxzzzzDFu2bGHJkiWcf/75zJo1ixtvvLHW48aPH49SqeTGG28kEAhw//33HzMGIZozdYKsS4pGlDUQJi6CH/4OuavB2gaGTA5VW9ZL8p4QzYJaC9b0WEfRqOQKK4rUKjU5cTlMGTQFu9eOUqEkyZAU67CEEEI0YerERGwXXYjp9IEEvV6UJhMqs1QfEEIIEVlWgpG/XdSd24Z2RKGARLMOlVQfEEIIEYHNoGFwxyR6ZFhxef3oNSrijNKuTwghWqo4jZrnumTxl637aiRQDUsw83yXLOI0x14mUqiVqCxaVKb/bTJVKo65kdNisTB+/HgmT55MQkICKSkpPProoyiVypPeBDpt2jTuuusubDYbF1xwAW63m5UrV1JWVsZ9993HmjVrmDJlCh9//DGDBw/m+eef5+6772bo0KHk5OTUer1x48ahVCoZP348wWCQyZMnn1RcQggh/kBrgox+cNUs8NhBpQ1VrhFCiCZMkqcagVFjxKiRVnBCCCGOn+wEEkIIcSK0aiWpUmlKCCHECZCEKSGEaD3a6LW83r09xR4flT4/VrWKJK36uBKnDlEoFKA6saSn559/nltvvZVLLrkEq9XKAw88wP79+9HrT+7a5eabb8ZoNPLMM88wefJkTCYTvXr14p577sHlcnHddddxww03cOmllwIwadIkvvjiC8aNG8ePP/5Yo73fIWPHjkWpVDJu3DgCgQAPPvjgScUmhBAiDL1VKk0JIZoNSZ4SQoRVVFTElClT+OKLLygoKCA+Pp4+ffowZcoUBg8eHOvwhBBCCCGEEEIIIYQQQhynOM2JJUs1BIvFwnvvvXf4zw6Hg2nTpjFp0iQAFi9eXOfzp06dytSpU2uMjRkzhjFjxoR9/MaNG2uNLViwoMafg8FgrceMHj2a0aNH1xmLEEIIIYRo2SR5StRLMBikyFmEN+BFo9SQYkyJdUiigVx55ZV4PB7mzJlDTk4OBQUFfP/995SUlETtPT0eD1qt7HwVoqULVFfjr6iAYBClxYLKYol1SEIIIZq4oioXbm8AtUpBskUvbQmFEELUyeMLUGJ34w8GMenUxEuVLSGEiIk1a9awZcsWBgwYQEVFBY899hgAo0aNinFktfkCQQKEEqvUCgXKk2wtKIQQopXw+8FRAH4faPRgljVyIZo7SZ4SJ63UVcqifYt47ffXKKguIM2Uxh197mBo5lDi9fGxDk/UQ3l5OT/99BOLFy9m6NChALRr144BAwYcfsy+ffu48847+f7771EqlVxwwQW89NJLpKamAnDDDTdQXl7O/PnzDz/nnnvuYe3atYd3FA0bNoyePXuiVquZO3cuvXr1YtGiRWzcuJEHH3yQH3/8kWAwSN++fZk9ezYdOnQAYObMmTz33HPs3r2b9u3bc9ddd3H77bc3zi9HCFEvnn37KHrxJSq//hr8fkxnnUXqA5PRZmejCFM6XQghROtW4fSwck8ZT365mZ1FDuKNGm4+K4er+7clxSptCoUQQtSWW+7kzR938u8VB3B6/fTLiuPRS7rTNd2KXiPXHEII0dieffZZtm7dilarpX///vz0008kJSXFOqzDAsEgTn+Ag24vTn8ApQISNGqStWq0SmWswxNCCNEUVeXD6nfgl1fBWQbJXeC8JyBzAOhtsY5OCHGS5MxPnBSnz8ncTXOZ+vNUCqoLAMh35PPI8kf499Z/4/K5YhyhqA+z2YzZbGb+/Pm43e5a84FAgFGjRlFaWsqSJUv49ttv2bVrF9dee+0Jv9ecOXPQarUsW7aM119/nYMHDzJkyBB0Oh0//PADq1atYsKECfh8PgDee+89pkyZwhNPPMHmzZt58skneeSRR5gzZ069P7cQIro8B3PZO/Y6Kv/7X/D5IBjE8eOP7Ln2Wrz7D8Q6PCGEEE1MIBBk8ZYibpqzkp1FDgDKqr08s3Ar0z7fRHm1J8YRCiGEaGoKKl3cOPs3Zi/fi9PrB2DNvnKufP1ntuZXxTg6IYRoffr168eqVauw2+2Ulpby7bff0qtXr1iHVYPTH2BHtRunPwBAIAjFHh97nB68gUCMoxNCCNHkVJfAf++DRU+EEqcAirbCe1fBzh8gTHtYIUTzIMlT4qSUOEuYtXFW2LkZ62ZQ7Cxu5IhEQ1Kr1cyePZs5c+YQFxfH4MGD+dvf/sa6desA+P7771m/fj3z5s2jf//+DBw4kHfeeYclS5awYsWKE3qvTp068fTTT9OlSxe6dOnCK6+8gs1m44MPPuDUU0+lc+fO3HjjjXTp0gWARx99lOeee44rrriC7OxsrrjiCu69917eeOONBv89CCEaTjAYpOr77/AVFdWaCziqKXlnDoEwyZpCCCFar4IqF49/sSns3Bfr8yiskuOGEEKImrbmV7E1315r3B8I8sQXkngrhBCiJl8gyEG3N+yc0x/AFZAFcCGEEH9QlQ9bvwg/t/BvUJXXuPEIIRqMJE+Jk1LqKsUX8IWd8wQ8lLvLGzcg0eCuvPJKcnNz+eyzz7jgggtYvHgxp5xyCrNnz2bz5s1kZmaSmZl5+PHdu3cnLi6OzZs3n9D79O/fv8af165dy1lnnYVGo6n1WIfDwc6dO7npppsOV8cym838/e9/Z+fOnSf3QYUQjSJQXY39u+8izjuW/Ii/srIRIxJCCNHUVbl8FNsjL3JLBREhhBB/9MOWwohzv+0pw+HxN2I0QgghmroAwcMVp8Kp8slxQwghxB/krYs8V5kLbrlfJURzpY51AKJ50qq0dc8r654XxxYMBAj6/SgA1GoUCkWjx6DX6zn33HM599xzeeSRR7j55pt59NFH+ctf/nLM5yqVSoJ/KE3p9dbexWMymWr82WAwRHxNuz20e3TGjBkMHDiwxpxKpTpmTEKI2FGo1aji4yPOq+JsKNRyWlJv1WXgc4LGCIa4WEcjhBD1olHVvdfHZqidbC9OjN8foNgRSlBLMGnQyDm1EKKZSzZHvh9l0alRNf6tlRanyuXF4fajVStJMMn9PyEaS0Dax0WNUhFq1ReO+qh78vJ3cJKCQXAUQsAPhnjQRL7/L4QQzYIh8joHCgWo5H5VvXkc4KoEpQrMKbGORrQiskopTkqiPpEMUwa5jtxac1mWLOL1dRw4RJ2CwSBBrxd/cXGoCotCgSohAVVcHMow1ZgaU/fu3Zk/fz7dunVj//797N+//3D1qU2bNlFeXk737t0BSE5OZsOGDTWev3bt2rAVpY7Wu3dv5syZg9frrfXY1NRUMjIy2LVrF2PHjm3ATyaEiDalTkfC9ddTtfCbsPMJE25CXUdylTgGZxnkrg31WS/dBUldYPj/QVpP0NtiHZ0QQpyUBJOWMzsmsXRH7ZbgJq2KDsmmMM8Sxyu33MmHK/bz4cr9+AJBRvXNYPyg9rRNMMY6NCGEOGkX9EznmW+2hZ0bN6gdiWZdI0fUclR7fOwotPPsN9vYcLCCdJueu87pxGnt40kwye9ViGjRarUolUpyc3NJTk5Gq9XGZJNtSxUIBrEGfJR5w1eY0qvAGfDh8XgoKipCqVSi1Uri6HGryodNn8Gvr4UqsXQ8D866F+KzQSXLk0KIZiq1e2jzsre69lzHEWBMavyYWgqfF8p2wZJ/wu4loUS1QXdC5wvAkhrr6EQrIGcn4qQkG5P519n/YsLCCVR5j5QftGqtvDDsBZKNyTGMrnkLer14du4k6D9yweYrKCBQUYGmXbtGSaAqKSnh6quvZsKECfTu3RuLxcLKlSt5+umnGTVqFCNGjKBXr16MHTuW6dOn4/P5uP322xk6dCinnnoqAMOHD+eZZ57hnXfeYdCgQcydO5cNGzbQr1+/Ot/7z3/+My+99BJ/+tOf+Otf/4rNZuOXX35hwIABdOnShWnTpnHXXXdhs9m44IILcLvdrFy5krKyMu67776o/26EECdPm5NDwoQJlL79do1xywUXYBo4IEZRtQBeF6z7EL564MjYvuUw+yK47HXodZXsdhFCNEs2g4YnLu/J6Dd/IbfCdXhcq1Iyc/yppFr1MYyuecstdzJ25q/sLnYcHpvx024WrM3lP7efQdt4SaASQjRPaTY9/7iyFw99sr7GeN/MOK4/o/0xqxqKyH7bXcqNs1dwqMh4qcPDLe+u4rahOdxxdkfMernmECIalEol2dnZ5OXlkZtbeyOzqD9/MEi5x4fnqC4KCiBeo2a/UoHyf8lqRqORrKwslEo5lhyXqgL4ZCLs+fHI2O/vweb5MHERJHeJWWhCCFEv5jT40zyYdzX4j+q4E9cOLnoW9NbYxdbcFW+BmeeAzx36s6MYPr8LulwMl/4LzJJ/IKJLkqfEcan2VlPiKiHXnotWpSXNmEaHuA58PPJj1hSuYUvpFrondKdPSh/STemxDrfZCgYC+EtKaiROHRJwuQhWV4Mt+hVEzGYzAwcO5IUXXmDnzp14vV4yMzOZOHEif/vb31AoFCxYsIA777yTIUOGoFQqueCCC3jppZcOv8b555/PI488wgMPPIDL5WLChAlcf/31rF+/vo53hsTERH744QcmT57M0KFDUalU9O3bl8GDBwNw8803YzQaeeaZZ5g8eTImk4levXpxzz33RPNXIoQ4CcXOYoqdxZS6SkkxppBoSCTplknYRo2i6rvvCHo9WM4ZgaZNBuqEhFiH23zZC+DbKeHnvn4Q2p8JcZmNG5MQQpwEt9dPkd3NwXInwSC0jTeQatXzyW1nsDG3kt/2lNI+0ciZHZNJi9OhlgXwk/bj9qIaiVOHFFa5+XjlAe4c3hGV/H6FEM1AqcNDid1NfqWLRJOWZIuOS3tnMKB9At9tLqDU4eHsLilkJ5tIsUjS7ckqqHDxt/+sJximrdXrP+7i2tOyJHlKiCjSarVkZWXh8/nwh7lvLI5fwO+nurKC6vIyfF4P5vhE9BYrcUoV+5wefqmwk6BWMzjeTKJGjVEdamutUqlQq9VS9etElOyomTh1iMcB3z8Gl78OOkvjxyWEECfKWQGOIqjYF+ryYEmHdmfAHStg5yIo2w3tBkN6b7BmxDra5stZBl8/dCRx6mhbv4Ah90vylIg6SZ4Sx1TmKuP9Le8zY90MfEEfEKow9ezQZ+mf2p+Lcy7m4pyLYxxlyxD0+/FXVESc95eXo7RYUER5d4tOp+Opp57iqaeeiviYrKwsFixYUOfrTJs2jWnTpkWcX7x4cdjx3r17s3DhwojPGzNmDGPGjKnzvYUQsbWvah93/XAXO8t3Hh47LfU0njzrSdK6dEbfpXMMo2th7AXgc4Wfc1VAdbEkTwkhmrwql5dvNhbw8Pz1uLwBAHRqJX+/rCcX9ExjRPdURnSX8twNwe7y8enqgxHnP1+Xy3WD2pEkra2EEE1cXoWTv3z4O8t3lhwe65RiZub4U8lJNjMp2RzD6FqWCpe3RhXIowWDsLWgivZJ0k5XiGhSKBRoNBo0jdCVoKXye70c3LGVz55/ErcjtJFAoVQy8PJrOOWCS2mbmsgZqYkxjrIF2Tg/8ty2r8BVKclTQoimr6oAvn0U1r1/ZMySDmM+hLRecNqE2MXW0riqYM/SyPPbFkKbUxovHtEqyVZScUyrClbx2u+vHU6cAqj0VHL797eT58iLYWRNQ9DnI+DxEvB6CYbbgncCFACKOv5ZKpUgu1sahd8XwOvx43H58Hn9BPyBWIckRLNR7CyulTgFsKJgBU/++iRVnqoIz2wdvP4A+RUu8sqdVLm8x37CsSiPkQt/rHnRIHweDxWFBRzcsoncbVuoLC7E7/Md+4lCCAD2FDv4y0e/H06cAnD7Akz+eB27impXSGp1nOVQcRAq86Ce1QaUylBiWiQ6tepwaxIRXaUON9sKqvh5ZzHb8qsosYfZXSmECKvK5WXa5xtrJE4BbC+0c9OclRRWRdhc0EoEAkEKKkPXHGXVnnq/3rGOC3UdV0TD8fkDHCx3snpfGSv2lLK/tBqXV6oQCXG8KouL+OTJRw8nTkGoE8Qvn3zAvo11d0toDTwuH/YyF/YyF/6G+G7RGCLPqXT/WwwR0VbprmRPxR5W5K9gS+kWiqqLYh2SEM2H3wurZtVMnAKoyoN3RkLFgdjE1ZTYC0L3q+wN8N2iUNS9lqGt47giGk4wCJW5kLsG9iyD0l3gtsc6qkYjq2miTqXOUl5d+2rYOV/Ax1e7v+LWPrc2clRNQ9DvJ+B04svPJ+ByodBoUCcno7JaUahP8p+WWo06IR5vQUHYaVVCQuxLAweDoROGgDf0v1Wa0MFMqWrwtwp4vQSdTvx2OwqNJvS71WiiXnnL5/VTUejE7zuyeKczqjHH61HJDUEhjqnYWVwrceqQxfsXU+oqxaJtnTvL8iqczP1lH3N/2YvD7ePMjkk8eGFXOqSY0KpO8nvUnALGBKgurT1nawvGpPoF3QDcTi/OKi+OcjcanQqjVYcpTtvwxzSPI3Riv/lzKN8Pnc+F9L5RL5fsctjZsvxHlsyZic8bWpzSGoz8P3v3HR5VlT5w/Du9l8ykNyCQ0KUXKQqioKxgBbGCoK7YVnHd4jZX1/5bddfeENeOAnaxoIhSRAWU3nt6n95/f4wEYmZCS2ZukvN5nnl2ue9k5k1M5t57znvec85Nt9Opb39UGtG9RRCa4wkEeebrXXHjT3+9g0em9Eev6YC3rwEvVGyGz/4G+1aA1grDZsPAK6IrHU+AXq1k+ojOLNteGTN+1amdsBnUJ5F0yyir81Lh9OH0BsmwaLEb1Jh1Ld9podzhZWe5k8UbSjFplZzbL5ssixaLrnV/BgdrPNzy5hp+3FvbcGxAvpUnLhtIjlUMCArC0VQ5/Xy6MfbYyY5yJ+X1vg67TV+Fw8eHPxfzzNc7qXD46Jdn5c6JPemVacagPbFzaYpeRe9sMxuL65vENEo5XdOT3+XL7Q9S6fRTUudBrZCTYdaSbmr5bX4DwTAldR6+2lrBtjIHgzqlMLSLjdwUfYu+z695AiFW7qjkd2+uw+GLLtLQKOXcObEn5w/IwdIK50hBaG+2rvyGcCj2IqeV77xObq8+GCzWxCYlAeFwhLpyN9+9t4vdP1eiUMnpOSKL/uPyMdlP4lza92JY8Z/YsQFXSGK8qtLpo9Lpo8blJ9WowW7UtMq9ULXLx75qNx/8VAzApH7Z5Nn02A2tO15U4a7ggdUP8NnezxqO5ZvyeWLcE3SxdGnV9xaEdsFZBiufjB3z1EDpzx13xwd3VXTLwqX3QfVuSC2EM/4e3c5Qbzux19TboPeFsH5+7HjROSeeb0sJ+sFZGl3cSCQ672BIB1UL33tGIlC3H/augH3fQUZP6DYezDmgbMXr/nAIStbBG5dGf/8h2vRl2GwYfRsY2v+2iR1w9Fk4HoFwgAPO+JWzW6u3Eo6EkTfXLakdikQihJxOAvv3Hz4WCBAoLibs8aLKzEB2ApPgMpkMudWKvK6OsLfxKkmF1Yo82ZOvkTD43dH9e8OHbjRlYMyIfmAqWu4jJez349+zh4j/8ArJYFkZqrw8FK24dWEoGKa23EM42LjTlM8dRC73YUzRIpOLZTGC0Jxqb4winl9EiOAOuBOYjXSU1Xu59uUf2HDEhMPSbRWs2FnFezeNpGeW+cRe2JQFF78Er10cLW49RKmFi14E84lNrrcUd72P1R/sZuO3xfBLg0Zjiobf3HAK9lxjyxVQ+d2wdTEsnBW9uQD4cS7YCuCq98Ca3zLvE0PF3t0seaFxsbnf4+b9/7uXqx5+gtS81ntvQWgPvP4we6rid5faW+XGGwx1zOKpsg0wd3x08AKig1Nf/Qt2fQVT5kULaE/AKbkWxvfK4LNNjQsPBndKYWyPE3vNlrS11MGsl7/nQI0HiC4+vGBADn8+pwdpLVgMUVrn5cbX1/Dj3pqGY098tZM5ZxUxfUSnViugqnH5+f3b6xoVTgGs3VfLbW+u5ZkrB0uigE0QpMzlD9Jc8+/KDtrJrcbl5673N/LR+sOd4tfuq2XKMyuZd/UQxnQ/sc94u1HD/03px9RnVjYU7kD08/mRqf1IT/JWrzUuP29+v49HPt9GIBT9xbDoVDx52QCGdrGhVrbMgr9QOMLa/TVc+eJqfL+MG7323T5S9Crm//ZUCjNab5HQwRoP177yI6Hw4V98XzDMP97fSFGGiVO7iq3GBKE5kUiEir3xF2zUlZcR7qDdo+srPLx9/w8EfNF7jnAoxM9fHmDv+irOu20AJtsJXn9bcmHELbDiv42Pp3SJHlcm99yxr9rN7Fd/bFQYPKKrnX9P6UdWCy5mqHT4+NdHm3h3XXHDsRe/3cMF/bP5y7m9Wm27dF/QxwvrX2hUOAWwz7GPaz+7ltcmvkaGIaNV3lsQ2o2gD3xNFw80qNyeuFykxO+G1c/D0vsPH6vYCm9dDmc/CINngvIExjTUBjjjL7B3OdQfbBw7429gyjy5vE+WzwnbP4P3b4ou4gZQ6eE3/4Ye54L2BOd3YqnYAi+dEy3SO0T5N7jyXcgb2ioNTYBoN7WXJ4P/iE5TkTCsehLsXaP/bZPd5KWVdayKF+G4aRQaCq2FceODMgZ1uMIpiG7VFyyJvWVhqKaayEncaMlVKlSdOqHOz0dhMqGwWFB36YIqM/PEO1q1lFAAqnYcUTgFEIlW2bbgNlyRUIhgWVmjwqlDAvsPEAm0wDZXcYSC4SaFU4d4XAHCoZPbmlEQOoJ0ffwBeaVMiVGd/FXJybCtzNGocOoQfyjMg59sod5zgp9tcgXknwqzV8Go26HwLDj9TzB7JWQPOsmsT044FGbzihI2fnO4cArAWePj3UfX4qxuwUktZxksupYms2jVu2DJPYdvaFqY1+1i1TtvxoxFImHWffYRoTgrWwVBiNJrFPTJjj/A0Cfbgl7dAQun3NXwyR8PF04dae/y6IKGE5Rm0nLfBX157ZphTOyTyVm9Mpg7fTBPXj6QDHNyO7UU13q47PlVDYVTEP1oX7jmIC+v2EvgJLctPCQUjrBgzYFGhVOHPPL5tkbv39KqXX5W7opdbL56Tw3Vro5Z9CEIx8OkUaFSxB+0zbJ0zK5T5Q5vo8KpI/39vY2U15/4dobdM0x8/LvR3DmxB2O6pzFzZGc+vfU0xvZIR6NqpcH7Y/Tj3hoeXLy1oXAKoM4T4Op533OwBT/Py+q9XPfKjw2FU4fUuAP87s11rbb9aigU5rXv9jYqnDrSY19so+5E7ycFoYOQyWTk9uwTN56a1wmluuMVrwf9IdZ8urehcOpIdRUeirfXnviL620w6ja4Zgn0uxSKJsCFz8OMj5LeqaXS6WtSOAWwYmcVf39v44mP0cWw7kBto8KpQxatK+an/bUt9j6/Vump5J1t78SMlbnL2O/YHzMmCMIRVLrmF61lnpK4XKTEVQ7f/F/s2Jd3R+eMT1RKZ5j1GUx+AgrHw4Ar4bqlMOQa0FpO/HVbQvUueOfqxvMMATe8O7tlC+lcFbBgVuPCKYCgF968NLptZGvZu7xx4dSRlj0EjpP4b9tGdLyqF+G4WLVWfjfodzFjBpWBMXljEpuQVIRCzRZIRbwnN1gi/2WLOlVeHqrcXBQGQ/ILpwC8tTSa/T6So6Rxx5OTEAmFCNXFq+aOEHa3XteaZoujItFVSoIgNM+utTM4Y3DM2AWFF2DXdswVsYs3xL+wXLa9AqfvJApslBpI7Qbj/gaXvAZj/gT2gtZt4XoMXPV+1n6+L2bM5w5Svq+ZlTvHa8/y2AUGABsXgquq5d7rCEGfj5qypoNgh1Qd2EcoRjGwIAiHaZQKrhldgDJGd0+FXMa1owvQJnlSNil8Djj4Q/z49iUn9fKpJg0ju6Xy30sH8ORlAzmjZ0bSC6cgWmxc5Yr9uTlvxR7K61tmYrrS6ePlFXvixt/+IX4H5pPl8DV/31TvFUW3gnA0qSY104bE7u45tIut1bo4SN26ZiZh91W7T+rzRS6XkWfTc91pXXn2ykH89Te9KMowJb3Audrl59EvtsWMBUKRmBPWJ6qkzkOtO/Zn+KaSeqrdrXPd7w9F2FYWf9HinioX3kDLFBcLQntWMHAIal3sLTZHXTYdnakFO0a0ET53kL0b4o+XbP++jGCchcbHRG+D3MFw3pMw9VU4ZSpYck789VpIpdMXcytagC+2lFHVQosZHN4Azy+L3/HshW924/C2TvGrN+TFH45/XjroPBg3JgjCL4yZ0UXKsVhyIb1HYvORCmdZ/PlgvyvaNf1kWHJh4JVwyasw6T+QPQB01pN7zZMV8MKKx+PHv32k5RZvu6ugbGPsmKfmly0DW0nZpvgxRymE2/+CDVE8JRxVT1tP7h99PxbN4YrOLpYuvDThJbKN2UnMLImO1pJO0TJ/WjK5vOW2M/pFOBQm4A/hqvPhqvMR9IcIh47xBijQzGq9oL9pt48TFYkQt0gLoIVWm8eiUMb/ectkMrFlnyAcgxRtCvePvp+xeWOREf2bUcqUXFx4MbP7zUavij1Q1d5Z9fELmYwaJS3y8SKTRQupWvjcUV9ZwY4fVrHi7dfYuvJb6irKjqmYNBwM43PFn6CpKWnBblDepp1DjkjkV10TW45aqyUtv3PceGbXQpTqjjl5JwjHI8+m5+WZQxt1Csk0a3n56iF0snfM8wZyRfNbWbTQwJFSIUetbNmhAYc3wI5yJy9+u4vHl2zn5wO1x9yNY3dl/HOD0xds0u3jRIUjkWYLl6ucvlZbOGHRNV/cbD1KXBAE0KuV3HxGN64Ylt/QgUomgzN7pvPYJf2xd9DiKZM2/ueHTEaz3bqOh0apQN7C4yNl9V5W7Kjk0c+3Mf+H/eyrcuMPHn38xx8Msb86/iK7zSX1BI913OsoXDE6sxwp0ELnqF9TK+X0z7PGjffINKNXd8BCc0E4TubUdC656wFsObkNx7RGE+fcOIfMLl2TmFnyyOQyVNr4nx8avRJ5S9wqyBUntoVTMwJ+HzWlxfz0xWJWvP0a+zdtwFkbu7vrr1U74xcVRSLgPMrn/THnGGr+nqPeGyAYp6vgydIpdeiV8e+lO5s7t8r7CkK7IpdDr/Ng3N+j27MdkjsErnofzB10jlxxlHstRQt93is1Lb89nbMC9n8PSx+E756Fyh3R7fiOJuCBqma6S1XtiHahagnBoyzIaKUdNgDIGRg/ltL56P/t2wEJtLIRpKa41sP2Mge7K10UZZooSDVwTudzGJwxmFpfLUqZkhRtCnZdx+wcAiBTKJDrdIQ9TYuJZHI5Mom2+A2FwrhqfXidhytDXbU+9GY1erMa+dGKvtSGpm0CD1FqW2yyXqZQINNoiPhiT7DIDYYWeZ+Yr62Qo1DJCQWaDnjpTKoWHxwUhPbA53bhqq3h4OaNRIDcHr2xWq3cO+peqr3VuAIuTGoTdq29wxZOAUzul8OTX+2MGbtsWL5kJ3iqD+7nrX/+GXddbcMxjd7AlL/fR8ZRBhcVSjl6sxp3fewL/tQ8U8sl2mlU/Fh6T9C04HsdQa3Tc+rFl7Jr7Q9NiogVSiV9z5iAXCEmMgTh18rqvOypcrG5pJ58u57uGWZGdLXz7o0jqXb5iQB2vZp0s6bFFxO0GXo7nHIprJkXO144PqHpHKt6T4A3Vu/j/k+2NBz79+fbOKtXOvde0Jd0U/PdrbpnxP+8tupVLdaFzKRVMrowjU83xu4MOalfdqv97tkNGib0zoz53uN6pmM3SvN+UhCSyeMPUu7wsWZfLU5vgEGdbWSatdw5sSfXnVZAvTeIQaPEblBj7sAFiH1zLKgVcvwxioXGFKVhM0jz8+VgjZur5n7PzorDExdqhZwXZwxmWIENdTPX01qVgsIMU8xtWAEGdUpB2UKLHPNteuQyiDXPbdYpsepb5+erkMu4eFAeL3yzO2YR8W1nFjZbOCcIHZW73oej2kfZ7jr0ZjXpnczYczsz9e/346mvJxwKojWZMabYOux9u86k4pSxuXzzVuwJ4T5jcpG3SPVUywr4fexZt4YPHr2fSDj6ubjynTdI79KN8+/4KyZ7arNfn2aKPwankMswa1tm6tSiVXJWr4y4Xa4m9M7ErGmdado0XRpX9bqKZ35+pkmsi7lLx22MIAjNCIbClNR52VhcR2m9l365VnJTjKSdehP0nRKdH1VqwZAaHbPpqIzpYMyIdqD6NVsB6Jv/DE4aRyksvA52f334mEwG5/4H+lwEGmP8r1UbILMfFK+NHc88BdTNfP3x0KdEtyj01jWNyeSQ0qll3ieW3CHRrpHuGMXIY/8KpozWe2+JEMVTQiNbSx1c9vyqRtsk5KboeO2aYXSyZ5JpyExidk2VO7xUOf34g2FsBjVpJk1CtvSQKZWocnPx79pNJHTEygGZDFVenjS22Ish6As1Kpw6xF3vR61Toj7aYJLGDDIFRGKsvDBng6JlBmpkSiWqrCz8e/Y0icmNRmSq1hsQUijlWNP01Fd5Gu31rjOp0ZnVovOUIPyKx+lg3eIPWPH2642OD5l8MYMnX0gncyteyJ2AgN+Hu7YWT30dCpUKncmC0WZLyHtnW7T8+ZwejSaTAXpmmZg+ojOqFhrQb0nuulo+eOzBRoVTEC2Ye+/he7jsX//GaIt/o2iwaBhybhe+fn1rk5jeosae00I3FBBt59v1DNj5ZePjMhmc8zAY01ruvX7Flp3H5Dl/5vPnnsDjiA6ImexpTLz5dizp7f+GQhCO1/5qN1fNXd2ow5BVr+K1a4bRK8ssia3jjlTt8lHl9OP2h7DoVaQa1Rg1CZigVOngtN/D3m+g6lfFt5P+AyZp3Zsdsq/a3eRcB/D5pnLGdi/nsmGxt9k6pCDNSG6KjgM1TReq3DS2W4v9fhg1Km4fX8TSreVNJqK7phk4JdcS5ytPnlmn4p+Te6OUy/h4QwmRSPR0dXbvTP4xqRcWnTSLGwQhWdy+IJ9vLmPO/J8IHVG1ck7vTP55fm/y7a23wOpEBENhyuq9VLv8yGQy7AY1GWZtQhZjpZs0/PfSAdzw2o+NCnwyzVr+Mam3JAtsXL4gD3yypVHhFIA/FOaal3/gizmnk2eLvwjHqldzx4TuTHtuVZOYXq3g7D4td760G9VMH9GZl5bvaRK785yepDczGX+yclK0vHbNMH735joO1kbPkSl6Ff86vy/d0lvwvkoQ2glnrY/PXthAyY7DE48KlZyJs08hp8iCwZqSxOyaCnkChJ0BIt4gMq0SuUGFopkO5i1FJpPRdUA6u9ZWcHBbbaNYv3F5pKRLcxGkq7q6UeHUIeW7d7D6vbc5/cpZKFXxr6ntRjWndrWzcmfTraUuGJDTYtv/KhRyLhqYy/9W7qX6V1uT2w1qLhiQg6KVxgNVChXTekzDHXTz+pbXCf7SkX1g+kDuHXUvafrWGycThLYoGArz494aZrz0PZ4jtkPul2vhmSsGkWXNB2vz4xmJFA5HKHN4qXb6CUUi2A1q0syaZhcdtBhTVnRLvf9NbrxjkcYEU+ZJs8AmHIJ1rzcunILoYugPboH84ZDWPf7XK9UwfDase7XpDhcyOYz8XXQcryUYs+DMu+HD3zWNDZvdusVp1jyY8TG8czWUb44eUxtgzJ3QbVzrva+EyCKt1Yc+Aerr67FYLNTV1WE2d7z9qFtaWZ2Xi55ZEXOQun+elbkzhkhmhVokEmFLqYPrX/2RvVXRNnhqhZzZY7oyfUTnE8rT6/Wye/duunTpglZ7bAPyYb+fsNtN2OlCrlEjN5uRqVTIJLgaIxwKU1fRuCDoSGqdEnOqrvnBvEgkeiKs2QOhX7pCyRTRwimdFeQtVzQWCYUI+3wES0oIezzIFAoUqakorFbkrVg8dUg4FCYcjhAJR9sXyxUyyXedau53WHxeHiZ+Fi3rwOaNvHXXH2PGLrrzbjr3a6bNZ4K56+tY/+VnrHrnDYKB6ICFJT2DSXPuJL1Tl4R8dtd7ApTUeXh3XTE1Lj/n9MmkhwQLBQ6p3L+Xl39/Y9z4Ffc/RkZBt2Zfw+Pws+Gbg6z5ZC/BX7r6peYZGX9NH1IyWngQzlEKa1+FVU9GV0fkDoUJ90J6b9C07qRaOBzCWVONt74emVyOzmRutrCsLRCfl1Hi59Cyat1+bnxtDctjDFKnmTS8f9NIsiwtNNjQAvZVu7np9TX8fCA66SKXwUUDc7ljQnfSE/XZXV8MJT/Blo+iA1R9LgJLTqt11DsZ4XCEv767gddX74sZ75JqYP5vT212pTfAnkoXv3tzLT/98nPXKOVcd1oBM0Z0btFOjYFgmF2VTh74ZAtfb6tAq1Jw6dA8Zo0qINva+r+HDm+AKqcfhy+AURMtzJNiYcOxEp+Xh4mfRcvaUe7krEe//nWTTwDumtSL6SM6S6ZLodMbYMmWcv66aAOOX7bpSTWqeWRqf4Z1saFJwII/jz9ISZ2Xj9eXsK/azWlFaQzMT0nI59qJ2FftZuz/LW1UGHekpy8fyDl9s5p9DYcnwOeby7jrg43Ue6I/93ybnscvHUDvbHOLdZ6C6Laun28q4/Evd3Cw1kNhupE/ndODwZ1tR92WtSUcKswLhSPYfinMU0h8vKo54vMySvwcWlYwEGLlop38/OWBJjG5Usbldw3HnCqdz8RgnY/ad3fg3Xy4y4Om0ErKRYUorYm553DV+agtc7P9+zJUGgVFwzIx2bRoDdK8Nv3pi8V88fwTMWNKtYarH30Gc2rzxUEltR7+8u4GvtxSDkQ7Tp3fP4c/nN29xcfp9lS5+O8X2/ng52JkyDj3lCxuObOQzgkoAPcEPVR5qqj316NVaLHpbFg11lZ/39YkPjOjxM+hZR2ocXPWI8saFU4dcsngXO6a3BudWhqNM/zBEGv21XLzG2upcETnao0aJf+Y1Iuze2diSkQn3lAQ6g/A9s+g+CfIGwIFY8GSR8vs99rC6ovhudPBWR47ftodcMZfm3+NgBf2rYJ3rwdHSfSYMR0mPwmdR4G6Bec6PDXR9/riLqjYEv25nv4HKDqnVReJN3CWg7sKgr5oJypjZotvv5tIx/N5KY2/ckESKpy+mIVTAOv211Lt8kumeOpgrYdpz62iznO4i5I/FOY/S7aTk6Jj6uC8hOQhV6uRq9VgtSbk/U5GhOhkRjzhUOSX7YaaGXCRyaIf/qmF0craSCRaMKVQRitrW5BMoUCh10PnTgQjISKRMBG5AlkLFmg1R66Qt/hWuoLQ3gR8Xr7/YEHc+Or3F5BV2B2NXhorwfetX8e3b7zc6FhdeRnz//lnrnro8YR0CDLrVJh1Kv54dtu4oQ0FmnYrPJLf6z3qa+hMagaclU/3YZl4nQGUagU6owqdqRWuKUyZMPI2At0uIexwglKFwmBD2cqFUwByuQKzPQ2zXazcE4Tm1Lj8MQunACocPkpqvZIpniqr93L1S6vZWXG4Q1Y4Am//eACjVskfz+6RkK63mLOjj+7ntP57naRgOEK5I/65odbtJxRuut3Qr3VONfDS1UOpdvnwBMJYdapW6TKsUsrpnmnmsUv6U+Xy4wmEMGmUCbvvNWlVbbpYShAS5b11B2MWTgE8t2wXE/tmJa6g9Sh2lLv43ZvrGh2rdPqZOe97Ft96WkI6BOnUSgrSjNx0RmGrv1dLCITCcQunACpdvqO+hkmn4rx+2QwvsFPt8qNUyLDp1a3ye2E3apg2NJ/Rhak4fUHCkWj3kEQUTgFkmLWSXXwjCFLhcQTY9G1xzFg4GKF4R61kiqdCnkCTwikA3/Zaat7Zhv2ynsgT0IHKYNFgsGjIKZJWR654XLUxthP6RdDvIxyKvYD8SFlWXfQ+wOnD6Qth1ilJNWowtMI2ep3tBu4+rze3jCvE5Q+iVytJTdBW3TqljlxTbkLeSxDasg0H62IWTgEsWlvMzWcUkmuTRlnFgRoPV774HYHQ4Wtopy/IHe/8TGe7gSFdErDThkIJKZ1h6HWt/14tIRKJvRXdIfWxrxsaUWmh4HS49stoYVEkEu0CZcps+YIxXUp0HDCzH/jqIewHXQK3izSmRx8dkDT+ygVJcHibnyD1xjlpJMPafbWNCqeO9Ojn2zi9KK1DDSTMmDGD2tpa3n333UbHly5dytixY3nnnXeYOnUqm37aRoqp6aTu8DED+M3Ec/nvE48d2xsqVC22RV9zAqEApe5S6n3RLZDkMjlp+jSsGivKBBVRCYIQXzAQwFVbEzfurq0hFAzGjSeSq6aG5W+9GjPm97jZv/FnLOlnJTgr6dMaTSjVGoL+phMWMpn8mLc8VKoUmO06zPbWHZwMe714fvqJkr/9ncC+aNcTTc+eZN93L5qiImSJaFssCEKzPIHmC2dq3P5m44lUXOtpVDh1pNe/28fMkV2a3UaoI1Ir5UzonckXm2Ov5Du1q/2Yi4VsBnVCipjK6708/fVOXv9uH75gGI1SzqVD87lhTFfJFGMIQke3P85CP4gWJoUk0lTf4Q3w3yXbYsaC4QivrdrLnb/pKcntupPJqFbG3a4VoH+u9ZheR6GQk23VtXqHrVA4wtZSB3e88xMbi6PjVZ3seu6/sC8D8lPQJaKwWhCEZoVDYYL++PcdzpqjF2UmStgZaFI4dYhvRx0hZyAhxVNtTX7vU1j59usxY/a8TqiPcWeRQ4scW1uVy8eCHw/w+JIdOHxBFHIZ5/TJ5M6JPSXbGVIQOprSuvgLwfyhMP7Q0ReCJUI4HOHtHw80Kpw60iOfb+XZKwcn5LOtTVEboNMI2L0sdrz7xGN7HZns8CLH1la9Cz743eGcjekw/j4oHA86S+u/fwcl7taFBpnNDAxrlPKEraA6FhsO1sWNldR58QeTexKrc/vZWe5k7b4adlY4qUvyJNBpp52G3W7n7UVvNGllv/K75ezes4trr71GMm3uAYLhIPsd+xsKpwDCkTBlrjJqfbW04R1HBaHdUOv0dOrbP248r3df1HppTCqHQkFqy0rixkt3bk9gNm2HISWFYRdMjRnrN/4cDBZrYhM6Cv+eveybOauhcArAt3kze6+4gsDBY1g9IghCqzPrlBjU8ScVOyVg24Jj1dxkvS8Yxu2XRoGw1Izomhrz3lKtkHPrmUWtspL7RDm8AR76dCsvLd+D75d7SF8wzLwVe3hw8ZajLjASBCExzugev7PngHwr+mbOK4nk8YfYVu6MG99YUi+phYlSkWHR8rdze8WMjehqI0tik8oHatxMeWZFQ+EUwN4qN1e+uJo9lbGLrgVBSCylWoElPf5nR1ZX6Uw4RrzNnxfCHnHPEYs1K5uMLt1ixsZOvxa9hMargqEwi9Yc5L6PtzRs6RsKR/jw5xJueO1HKh3SKeYThI6sX541bizLosUgkS37vMEQ6w/EnyPfUeGK20GrQ9NZ4ay7ibnlkK0AcgYkPKVm1R2Eeec2LvZylsPCa2D/d8nLqwMQxVMtIBgOUumppMpT1aYLOuxGDRcOyIkZu+60AtJMmgRnFF/v7PjbHWWataiVyfvVLq71cNMbaxn3yNdc8NQKxv37a25+Yy3FtfEnX1qbSqXiyiuv5H+v/I+UTD1q7eGT/FsLX2Po0KH07dcnafnFEggH8ARj/8wq3BUEwmIiQ2jbQk4ngfJyQg5HslM5YQqFgr5jx6PSNh2QUqo1DDxnMkqlNApv5Qpls9vyZRTEHnDp6JQqNaeceTbjf3sLRlu0JazObOH0K2dx6kWXotZJozgOIORyUfn00xCjNXvY5abug/eJHMNWUYIgVZFIhEqnjwqHj6BEVrudiAyzhpvjbCM0oXdGwrYuOBZ5KfEnXDRKOXqJDJxJTU6KjvnXn8qkU7JQyqOLM4Z0TmHhDSPonCqd8wZAldPPwjUHYsYWrT1IlVM6ndAE4US4fUHKHV5qJdTV70QM7mwjy9K0KFMmgz9P7IlFJ41zh16tbHZbvh6ZpsRs99oGjSiw8+L0wRSkRouoDWoF151WwKOXDCDVKJ3xyHA4wnvrinH5m95zhMIR/vPFdlw+UeggtG3BmhoCFRWEfW23oMNg0TDy4tjjPLYcA9Z06VyTyrTNnxfkOnHPEYvRauO8O/5K/7PPRamOnidS8zox5W/3ktWte5Kza6ys3sd/v4y9aHPd/jpK6pI3byQILSLoBUcpuKqSnclJyU3R0S83dnHtnyf2JCPG/UgyaJSKZufIu6YZRCfUeNJ6wtWfQvbA6L8Vauh/BVz1Pphj10ckTfE6qD8YO/b5X6OFVEKrEFdeJ6nYWczC7Qv5ePfHKOVKphRNYXyn8WQY4k/QSpVZp+LPE3uQadHy8oo9uPwhrHoVN47pxoUDcyQ1wDOwUwpmrZJ6b9MBid+dWUh6kgq96tx+/rjgZ77ZXtno+LLtlfxpwc88fukALPrkDOrNmjWLRx55hBWrljNq5CgiYXC6nLz/4bs8+uijkuo6BeALxb9BD0fChCNtd9JQ6NhCTie+7TuofPJJfLt2oe7ShbSbbkRTWIjCGH+gXarM6elces/DfPHCUxRv3QRAVmEPzpw1G3OadM6FxpQURk69go+f+HeTmEqrI79PvyRk1TbozRb6jD2LLv0HEQwEUCiVGFJSkMdapZFEEbcbz/r1cePu1asJX301Col0QxOE41Fa5+GTDaW8umofwXCYyf2yuWRIHrkpbe/3WaVQMHVwHnq1gseWbKfa5UenUnD58HyuG12ANUnXyrFkW3V0STWwO0YXiUuG5ElqcYnU5Nv0PHjRKfzpnB6EI2DSKiX13/aQWo+fcJz1T+FIdBvJzkinG5ogHCtfIMSeKhePf7mDdftrSTdFC1f75VkTsh1mS8u26njzuuH866NNLNlcTjgCXdOM3HNeb4oypHMPZdQqueWMQpZurWgSU8hlXDm8k9iyLw6TTsW4nhmckmvFEwihksuwG9WoldK65/AGQ6zaFX9i8KcDtTh9QUl1WRSEYxWsrMS1YiVVL71EuL4ew+jR2K+egSo3F5lCWn+LxyK70MrZv+3D8nd24KjyIlfI6DYoneHnd8Vglc51vNyoQtM9Bd/WmiYxdYEFuUEaixKlyGRP5fQrZjJk0kWEQyHUWq2kOk4d4vIHqW+mg9j2cid9j3GLWkGQlHAIavbAyqdgx+egNcOpN0PXMWCUzrzAsUozaXnmikE89sU2Fq0txh8Kk2XR8ueJPTm9KH4n3ERTyGVcMiSPuct3x9y677Yzi8SWffGotJA3BC5/B/wOkCnAkAoqaXW6BWDv8vixiq0QbLtF7lIn7uROQrGzmKs+uYoyd1nDsYe+f4j3drzHU2c+Rbo+PYnZxeb0Oyl2FfP+jvep8FRwZqczOSX1lIZirzSTltvOKuTyYfn4gmG0KgUZJg0KiQ3u5Fh1vHndqVz3yg8c+GU7DZVCxnWnFTChd0bSCoEqnf4mhVOHLNteSaXT32rFUx9++CHGXxVehI7ovtGrVy+GDx/O3LlzOe2000ABCxa+QyQSYdq0aa2S08lQyeKf3GXIkMuk9TspCMciEgjg/PJLiv/wx4ZjweJi9i5fTvaDD2CaOBG5SnoXtqV1HtYfrOOjn0uwGdRcPCiPnBQtFp0auVxBWn5nzr/jb/hcTiJE0BqM6EzxVz8kS+d+Axkx9Qq+W/gmoWB00MJkT2Py7XdiSk1NcnbSJpPJGjpPSZZajSojnWBx7O35VHn5yNRtb7JQEErrvFzz8g9sOGJrmMe/3MH8H/azYPYIaRZQBTxQdwA2LISKLdB1LHQZAyn5ANiMai4f3omzemfg8YfQKOWkmTSSmyDNMGuZd/UQbnhtTcPWPDIZnN8/h5vGdpPU4hIp0muU6CU+eXy07mFSacsvCMfrpwO1XPb8dwR/qQ48UOPh6nnfc+OYblw/pgCTVnr3HBUOLzvKnSxYcwClXM6UwXl0tuux/9J1qJPdwKNTB1Dt8hEMRzBpVZIsYi3MMPLI1H78/b2NOH/pQJSiV/HoJf3Js0nwnC0xUvxveiSVQk6+Tc+KnbELqDLNWjRJ7IYvCCcqWF1NyT/vxvn55w3Hat98k/oP3qfzW/PRdOuaxOxiC4eDeH3FVFYuoa5uLWZTX9LSxqPV5iCXK9HoVHQdkE5mgQW/N4RCIUNnUqGS2PWpQqci5cJCahZsx7ftcAGVpsBCytQiFKJ4qllKlRpzqnSKGmLRqhQo5bKG67Jfi9VdUxDahKod8PwZ4D9i2+pF10H3c2HyY2CQ4N+muwqq98C6V8Hvhn6XQHovMGUCkGXVcdfk3tx8RiH+UBiDWimZjlNHyk3RMe/qodzyxlqqXNEuw3q1gr+f24ueWdKbl5Ecgz36kDJ7M9deejvIpXU9056InyxEWwkG3CCTgzEdFEe/IA2GgyzcvrBR4dQhW2u2sqZsDWd3Obs1sj1hTr+T93a8xwPfP9Bw7OPdH5NnyuOF8S+QbcwGoqvBc6Q4CXMEmUxGr2wzC2aPoMrpxxcMYTdqSDWqk7p9Rr23+a3kHEeJn4yxY8fy9NNPNzr23XffccUVVzT8e+bMmdx22208/vjjmEwm5s6dy5QpUzCZTK2W14lSK9Qo5UqC4aarMswaMwqZmKwSkiccCuOu9xMOR1CqFehNx1aQEayooPSfd8eMld59D/ohQ5BnZ7dkqietuNbD9JdWs73s8E3Q3OV7uGNCd64c3qlhFYPOZEInwc+SI+nMFgafewG9Ro/BXVeHQqVCb7ZIvyhIOCZKi4XU669n/2+vjxlPufwy5Epx6SskT70ngMMbRCaLTqLqjvGa9ce91Y0Kpw4pq/fxxur93HZmIUopLXQI+mHX1/DWZdFViAAbF4LeBlcvhrToFgoKuYwsiwRXdv1KJ7uB/80cSqXTj9sfJEWvxm5US7LwQDh+doOaPjlmNhxs+jfWO9uMXULbSAodTyQSobzeRyAcRq2Qk24+tkH7CoePPy1YH3OC7qmvd3Dx4FzJfYaV13u5ff5PfLPj8GK0N7/fz4UDcrjzNz0btm0zapUYtdK+njNpVZzbL4thXWxUOv3IZJBq1JBh1qKQS6vjt3D8VAo5V43ozJvf748Zv+mMbpLstCh0HK5giNpgiAhgVSowHuPihMD+A40Kpw4Ju9yUPfJvch56SHLd0p3OTaxZezmhkBuA8vKP2LX7UQb0fwWLZQCyXxbeGiwaDLF3YZIMpUWDbVp3ws4AYW8QuVaJ3KhCoZfW+Vo4MakGNZP7Z7NwTdPtl+wGNZ3sotOtkGTOsmgXG7kSjJkgP4YxJp8Dvvhn48KpQ7Z+CDW3Sa94ylUFX/0Lfph7+NjPb0L+cLh4HpizANCpleTapH3PoVYqOLXAzoc3j6LS5ScUDpNq1JAuwYWJwgnqOi66rWDI3zQ24nfRehahVUholD0J/C7Y9x28djE81geeHApL7oH62B0LjlTrq+Wj3R/FjS/csRBPUFp7FVd4KhoVTh2y37GfZ396Fl8bbPGWYdbSK9vMgPwU8m36pBZOAZiPMgDZmgOUBoOBbt26NXrk5DTeo/VQh6n58+ezfft2li9fzqxZs1otp5OhlCvpZO6E8lfVs3qVngx9BgqJbRcldByuOh8/Lt7Lm/es5pW/rOT9x9ayf3M1vmbaLx8SrK4m7Gq69Q9A2OUiWCWtfcH9wRAvfru7UeHUIQ9/upWSOm8Ssjo5Ko0GS3omWYXdSe9cIAqn2hntKf2w3zA72hrmEJWKrPvuQ52Xl7zEhA4tGAqztbSeG19fw6iHvmTMw0v5x3sbOVDjPurXegNB5v9wIG78vXUHqXbFuIlOJkcpvDPjcOHUIe5qeO/G6P+2MXajhu6ZJgbkp9A51SC5ogPhxNmNGp68bCAFqY0nLLqkGnjq8oENHW8EIdGqnD7eWL2P855czqgHv+LCp1fw7tqD1BzDZ36dJ8CuGNuNAkQisP5gXUune9KWbatoVDh1yMK1B9lc0rS4UerUvyxK7Jdn5ZRcK9lWnSicakfybXr+PaUfKsXh/6YyGdw4thsD8lOSmJnQ0e3x+Pj91v0MW7WJoSs3cdOmvexweQlH4uxRfATHF1/EjbmWfk243tGSqZ40n6+c9RtubiicOiQc9rF+w434fOVJyuzEKfQqVOl6NPlmVOl6UTjVjug1Su6Y0J2hnW2Njqca1bwya6joPCUkj6cWtnwM834Dj/WFZ0fDqqfAeQyfod462PZJ/Pim91oszRZTua1x4dQh+1bB5g+iN0ttiFwuI8uqo2+Ohf55KeSm6EXhVHtiyYYr3gH1r4rX+1wM/aaBmCNvNdIunWxtJT/BvImHPxD9TljxH9i7Ai59rdk9WWXImt1WTCVTIZdYbdrS/Uvjxj7c9SHX97+eLGVWwvJpj1KNak4rTGVZjK37TitMJTXJK5dNJhNTpkxh7ty57Ny5k6KiIkaPHp3UnOKRyWRoFBoKLAX4w36C4SBqhRqVXNWkoEoQEsXj8PPVK1vYu+FwkVPVQRfv/2cdE2f3pUu/o6ymONqqjWNZ1ZFAVS4/b67eFzf+4c/FdM/snsCMBKF5yhQr9pkzsZ53Ht4tW5GplGiKilDYU1HoxGCUkBx7qtxMfmI5vmAYAH8ozPwfD7B8ZxVvX38q2db43ZdkyBpNzP2aSiFP2nbVcVVti27bF8uB76Mt0vW22HFBSIJOdgNvXjecg7Ue9le7ybPpybbqyDjGLj+C0NJcviDPLdvFs8t2NRw7UOPh1rfW8edzejBjRGc0zWwberQaHXUz55VkqHb5eGnFnrjxl5bvYXDnFHQqMQ4gSINRo2TiKVkM7WJja5kDfzBMryyz6EwpJNV+j49zf9xOZeDwwr7FVfUsr3Xy+ZDudNY1XxAuUzfzu6tQgLROHfj9VXi9sReZ+P0V+P2VaLWZCc5KEOLLsuh4+oqBlNZ72VnhIsOkId+mJ9Oild49vdAxhEOw9WN4d/bhY65K+OwvULYRzr4fdNZmXkAWLd4IhWOHFRJbiBQKwOrn4sdXPwu9z2u2LkAQEkqhhrwRcMNKqNwBnhrI6B3tOCXGVVuVtGZpE8lVCZ/8IXYl6cHvoWpX0+NHSNGmcFHRRXHj03pMQ6OU1snBGYjRPvEX/rCfcCTOSU44Zha9mgcuOoXTClMbHT+tMJUHLzoFiwRad8+aNYsVK1bwzDPPMHPmzGSn0yyZTIZKocKgMmDRWNApdaJwSkgqZ62vUeHUkb6Zvx1XXfMd/JQ2Gwpb7AsbRUoKSru0uiBFIuAJhOLG6zyttxWpIJwohdGIulMnzBPGYzrjDNS5uaJwSkgaty/I419ubyicOtLBWg8rdjbfcVCjUnDF8E5x45cOzcNuSP71ZSP+2N1OGoTFuUOQnnSzlgH5KUzun8OA/BRROCUkVaXTxwvf7o4Ze/SLbVQ4m7/nsOpV9M2JvT+RUi6jV5a09i4KhSO4fPG7+Lp8QULxb0kEISl0KgV5Nj1n9sxgYt8s0ZlSSKpwJMJ75bWNCqcOcYTCzDtYiT/e5PYvTGedFTdmnjgRhdV6smm2qEik+XuKcERi3XkFgWjX297ZFib3y2ZYgZ0sq04UTgnJ4yiJFkrF8tPr4Kpo/uv1KdBnSvx47/NOPLfWEA6Bv5kuin4nhMUcuSAxShVY86HbGdD3IkjvIQqnEqDjFk/5nVC6Pn5811fNfrlcJufszmdTlFLUJDY6ZzQ9bT1PNsMWNzonfoehAWkDMKqktW95W5Vt1fH4pQNYMud03r1hBEvmnM7jlw4gq5muAok0atQounfvTn19PVdddVWy0xGENqV8T/wtIxxVXvxH2bpPmZ5O9sMPg/JXRYAKBdkPP4QyTVr7gBs1SkYXxs/pnD5iFZ8gCEJz6r1Bvo3RkfSQj9eX4I9RWHWk3tlmxvVouo99j0wTk/plI5faNkDpveLHzNmgtSYsFUEQhLao3OEjFI69ZYQ3ED7qdq02g4YHLzoFg7ppd6p7zutDqklaRbdWvYqze8e/r5jULxujViyiEgRBiMcZCvFpVfzxqs8r66k7ShWqMisL29Uzmh5PTyPtxhuQ66Qxrn2ISm1HodDHjMnlajTqpvdPgiAIwhG8deCujh+v2Nr816v0MOaPYIqxm9Hw2WDOPbn8WppKC32bKfbq/ptoQZggCB1exx19kClAqYWgN3bccPQJ7AxDBk+Ne4o15WtYtH0RSrmSS3tcSk9bT1L1qUf9+kTLM+UxNHMoq0tXNzqulCn509A/YdFIa/VhW2bRqxPaZWrevHkxj48ZM4ZIjO5qW7ZsaeWMBKF90hrirySVyUCuaL4mWSaXox88iIL336Pmrbfwbd6MpkdPUi65BFVuDjKFtPYpNutU/PmcHqzaVdWka8qAfCtd00TRrSAIQnMUchlmnYqqOBPdNoOao+2elGbScv9FfdlUXM//Vu7FFwwxdXAew7rYybRIsDuOMR2GXAPfv9A0ds7DsQfWBEEQhAa6ZrbkA9Aoj74OsnumiY9/N5r31h1k5c5qclJ0zBjRmU52PXq1tIYCVQoFlw3vxFs/7KfG3biTSG6KjjNiFBALgiAIhymRYVXGP3dYVApUR+luo7RYsF93HaYzz6T6lVcI1dRgOms8xjPGos7ObumUT5palU7Xgj+wbftdTWJdutyKWi29uRlBEARJURxl/lJ7DPPFKZ1h1uewbTFseg90Nhh+PaR1l2YhUqdRYO8KVTsbH9eYYcRN0ZoBQRA6PGmNmCSSIQ36Xw4/vNg0JpND1zOO6WUyDBmc0+UcxuSOQSaToZXwh6tdZ+eB0Q/w4a4PeXXzq9T56hiWOYxbBt5CF0uXZKcnCIIgeWn5JhRKOaEYXUI690tFZzx6m365RoOmoICMO+4g7PMh12iQ/boTlYQUpBl4/6ZR/PuzrSzbXoFJq2L6qZ24eFAe6WJLG0EQhGalmTTMGtWFv767IWb8yuGdUByl8BYg3aQlvbuW4QU2whEkN/HdiNYCY/4E2QPhm/+D+oOQ2Q/O+idk9o1WGwuCIAhxpRo1ZJq1lNY3XezXNc2IzaA56mso5DI62Q3cNLaQWaOCqBQK1MdQdJUseSk63r1xJE9+tYOPfi5BoZAxZVAuV4/sQrZEungLgiBIlV6p4Le5aXwep/vU7Lx0rKqj3z8oU1JQDhqEtm9fIsEgcp10txRTKFRkZk5Gp8tl565/43bvRKfrTEHBbaRYh6BQiPEqQRCEZuntkDcc9q9qGtOYo4VRx8KaF11A1+9SUKhAefR7laSx5MBV78F3z8Pa/0HIDz3OhdP+ANbOyc5OEASJkPCoeytTaWH0HNi3Eso3HT4uk8EFz4Hp+LYi0qnaxmBOmj6N6b2nc27BuYQjYQwqA0Z163cOcdZ6cdX58XuCmFK06EwqNPqjFxkIgiBIicGi5uzf9uGTp9cTPmIrDXOqllEXF6LWHftpVaZUopBw0dQhaqWC7pkmHrmkH05vEJlMRqpRg6KVt4nyez2462qpryhHqVZjtKViTLEhl1h3LkEQhKMZ3yuDzzeV8fW2ikbHfzeuG53ssbeaiEd7DJMekmBIgwGXQ+GZEA6CUgd6W6u/bYXDR4XDR7XLR4ZZi92owWaQ1vZUgiAIR5Nh1vDcVYO49LlVuPyHt1my6lU8dflA0kzHPiEhl8swaKQ/9iKTRYu97j6vD7edVYSMaHdGdTOdVFqCLxCi3OGjpM4DQLZVR5pRg+Yo3b8EQRCkpqdRx8ycVOYebLxl+AXpVoZbDMf1WnK1GtTSv4ZWqSykpo7FbD6FcNiPTK5Go7a3+vu6XC5cLhcOhwO9Xo/JZMJoFJ3ZBUFoY/Q2OP9JmPcbcJQePq7UwKVvHl/XcJkMNG3kc9CSB+P+Fu2QBaC1gvr4xuaOWygIjpLoI+iN5mBIazs/M0HoYNrI6HsrseTClQuhfAvsWBItmCo6O3pSUB/fTUVbIpfJSdMffVvClhCJRKg64OSjp37GWeNrON59eCYjLuiK3iKdKuSQy0UkGCTkdhOORECpRK6S/iCjIAiJo1ApyO2RwmV3DWPvpmoclR5yuqeQmmvEmNK+V7UZNSqMCZp4cTvqWbf4Q75b9BbhUHTCSGMwMHnOneR074VCSp/NjhJwVkDADcYMceMjCEIT6WYt/57aj33Vbj7fWIZOLWdC7ywyLRosOulPSpwUY0bC3mpvlYtr//cD28qcDcdGdLXz76n9yLJIZ6GL2x+k0umnwuFFrVSQalSTadZKdlW/IAiJJ5PJ6J1tYfGtp/Hd7mq2lNTTL8/KgHwrOe28C5NWpUjYZ7bDG+DzTWXcuWg93kD4l/eXc+/5fRnfOwOTVjr3HJVOH1VOHw5vEJtBjd2owaKTTn6CICSfXa3kji6ZXJ5l56PKWoLhCBPTLORpNdil3LW2BagTUDB1SF1dHYsWLWLPnj0Nx9LT05k2bRo2W+svFjlWwWAQp9OJ0xm9NzIajZhMJhRiQaIgCEeyd4NrlkDxWti7EtKKoGAMmHJA0Y7PHQoVmBO0JW3QH23iMv8q8NZGj8mVMPp2GPbbaAcwqXBXg6sSPNXRojJDavQhCB1MO/70O0amrOij69hkZ9IuOWt8vPvYWnyuYKPjW1eVYrJrGTyx8zFtVdLaAhUVVL3wAsGhQwlEIsjlcmRqNer8fORaaRREhEMhQsEgXmc94VAIjcGISqNtE51rBKE9UaoUWNL1nJLeyisSOrADm9az8p3XGx3zuVwsuO8fzPj3U6RkJejmpjmRCJRtgDcuhbr90WNyBQz9LYyaA8bEFCkfVX0xHFwLm9+LFjH0uzRaPK41JzszQehQUo0aUo0aBuanJDuVdqnC4eWal39ge7mz0fEVO6u46/2N/N+UfpKYBK92+fjfyr08+dUOAqFoB8s0k4ZnrhhEv1wLSgncF3n8QYrrvHzwUzF7Kl2MLkxjeIGNnBRx3SMIiaSQy8iz6cmzib+91rK70sWc+T81OuYNhLn97Z94P2Mkp+Rak5PYr+ytcnH9qz+yucTRcGxC70zuPq83GVLZRt1RBhVb4Oe3ot0mB1wW3epFSpNBgtABpKiUpKiU9Da170LbZPF6vXzyySeNCqcAysvLeeONN5g+fbokOlB5vV62bt3KRx99hN/vB0Cr1XLeeefRtWtX1BLoKhYMhSmu9fDF5nJ+OlBL/zwr43pkkG3VSuKeSBA6FEtu9NFzUrIzaZ/q9sNrF0EocPhYOAhfPwjpvaH3ecnL7Uh1B+H9m2Dnl4eP5Q6Bi+eCNT95eR3JVQk1e2DdGxDywSmXQGoRmBK3cFPoGMSViNCqKvc7mhROHfLzkv246/wJzqipcCBAzauv4fjs80bHI34//j17CAcCcb4yccKhEB5HPVUH9uGqrcXjcFBbWkJNyUFCEshPEAShpbjraln59usxY+FQkK0rliU4ozjq9sO8cw8XTgGEQ7DqKdjwNoTDycvtkNr98PK58NZl0YmMFf+Fp0+Fta+C13H0rxcEQWgjKhy+JoVTh3y2qYwqZ/LvOQC+3V7JY19sbyicgmjul7+wiuJabxIzi/IFQny9rYKzHvmax77Yzrvrirn97Z84/8kV7K6M/fMVBEFoizyBIM9+vStu/JmlO3H7Y49lJVK5w8vVL33fqHAK4NONpfzfp1tx+5KfI45SWDAL/jcZ1r0GP7wAz58BS+6JTnAIgiC0Ey6Xi61bt8aMVVRU4HBIY5ylsrKSRYsWNRROQbSgav78+dTU1CQxs6hIJMLPB+oY/9gy7v5wE++tK+afH2zi7P8sY2NxfbLTEwRBaFkbFzYunDrS1/dHd7RINk8dfHR748IpgAPfw9szpHFN76qEz/8BL4yL3m+sfSU677HousbbTgpCCxDFU62g1lfLrtpdfF/6PdtqtlHlqUp2SklTW+6OG/N7Q4QCyZ9cDpZXUPPqKzFjkWCQiM8XM5ZI4VAQR1XTE1TQ78dVV0tECpP0giCcuHAI6g7AgR9h74poBb0//udnexYKBqkrL4sbL9+7WxqfeQfXHG61+2vf/BucSb5oD3rh20ehamfT2Kd/Bkdx4nMSBKFFObwB9lS6WLWzig0H6yirS37xTbJUNlMcFYmAUwKTyxUOL49+sT1mzBsI89XW8gRn1FS5w8ctb6wjHGl8vMLp486F66nzSKMITRCEE1dW72XDwTpW7axiT6ULh7djLsby+sPsrnTFje+ucuENhBKYUWyltV52xclz0dqDVDqTP17Flo9hzzdNj//4ElRuS3w+giC0qIAvSF2Fh+LtNZTtrsdZ7SX864vFDsLv9xOJxP/eXa7455VE8fl8fPNNjM9kokVLq1atIhhM7r1RWb2P2a/92LBl7iFuf4gbXltDaX3Hva8VhHbDWQ5lG2HPt1CxLbodXEcUDkPphvjxmr0QksA4i7sCtn0SO3bwR3BJoMCrbCOse7Xp8V1LYfsXCU9HaN/Efl8trNRVyt+X/52VJSsbjhWlFPHY2MfIM+UlMbPkSM01xY3pTCqU6uTX70V8XsIuN5gtceI+SHLLXa8z/kpvj6MOg9WKQp78n6UgCCfg0L7Xb08Hzy8rwBQqOP1PMHgm6G3JzS/BlGo19rx8SnfEHmjP7dEbmRQ+78o2xY+5KqP/XZPJVRld+R3P1o8hrXvi8hEEoUVVOLw8vHgrb685wKHx+9wUHS9cNZjumSZkMllyE0yw5rYtUsplmLXJv+0NhiLsrYo/obLhYF0Cs4ltc0k9/lDsAuWVu6qpcQWw6JK/zYcgCMcvEomwpdTBrHnfU/xLsa1MBpcMyuP2Cd1JM2mSnGFi6TUK+uSY2VQSu8NF3xwLenXyzx0lzUwgB8MR3P4kF3g5y+G7p+PHv3sWcgaDUpw7BKEt8jj9bPj6ID98tKehYEprUHH2b/uQWWBBoZTA2EwCabVa5HI54TgL+kym+PMgiRIIBKisjN8hpKKigkAggFKZvHNcpdNHWX3s4t+DtR6qnT4ypbItrSAIx696N7x1ebTY5ZCu4+C8J8Ccnby8kkEuh06nwqZ3Y8fTe4BKAlvt+o7SOdGT5K6FAU/0viKe756G7meDITVxOQntWse6wm1lTr+TB1Y/0KhwCmBbzTZu/erWDtmBKiVTj8kW+2J3yG+6YLAkf4BOrtUhb+bmRqZN/sV6vJsygEg4Ah1zwY8gtA+H9r0+8iI0FIAv74kWVXUwOpOZ0ZdOjxlT63R0HTw0wRnFkdUvfsyUmfwJgkgk2n0qHk9twlIRBKFlBUJhXl21j/k/Hi6cAjhQ4+GyF75rmBTvSNJMaoZ2jl1sfMngPFKNyb/nUCnldE2LvyBjQH5KArOJzXWUDl1BKXR+FAThhBTXerj0+VWNzhGRCLz5w37eXL2PYJzCyfZKo1RwzegCFPKmxcYKuYxrRhegVSmSkFljOdb4kylqhRy9JskFXpEw+JvptOKrh0jyuz8KgnBiirfVsvqD3Y06TXldAd7/7zoc1R3vnsNgMDBgwICYsfz8fIxJXnwNoFKpSE9PjxvPzMxEpVIlMKOmjnbNceQW54IgtDGOMnhjWuPCKYCdS+DTO49epNMeFZ0Nmjjzz+PuksbCeY05urImHr09cbnEEg6Bv5nfHb8z+hxBaCGieKoFVXmr+HLflzFj22q2UemRwL6gCWZM0TL51v5kdDY3HFOq5Ayd3IVug9KRxRioSjRlWir2mTNjxmQqFTJ18lfIaQyGuDG1Ti+NLiyCIJyYDQvi73v91X3S2FM6wTK6dOXsG25Dazg88JSSlcPUfzyAOTX+IFBCZfWLv5phzJ/BlJXYfH5NY4ROI+PHi85OXC6CILSoCoePud/ujhmrdvnZGqeLRntmM2h4bFp/xvVIbxjvUcplXDokj9+dVZj8yWUg1ajhjgmxO/4ZNUpGFyZ/hVyfnNideCHa2cykTe5EiyAIJ25TST217tj3HM9/u4tyhwS2f0uwfJueeVcPadTdItOsZd7VQ+hk0ycxs8MyzFp6ZsWebJk2NI80Y5LHq3Qp0H1i/HjfqaCSxs9SEITj43b4WP1h7HuOcDDCzjXJ33I60dRqNWPGjGHQoEHIfxmLl8lkFBUVcdFFF2FoZvw+UTQaDaeddlrMTsRyuZxhw4YltesUgN2oQROna5lOpcCe7HObIAgnzlkKFVtixza9F+1a2tFY8mHGR2DvdviYLgXOfway+ictrUYM6dDrgtixTqOS39FJY4Q+F8WPd/9N9GcqCC0k+aPI7Yg74CbSTAugKm/H6zwFYE3X85ubTsHrDBD0h9EYlOjNapQSWMUH0QIp69QpeAMBjtx5V67VosrLQ57k1RgASpUalVZLwNt4VY9MJsNkT0WukMbPUhCE4xQOQ+n6+PGaPRDqeBMZGoORnqPGkNf7FLxOB3KFAp3JjMEqoYtgay7M+BjmX3X4plCpgVFzoMe5za/WSARdCpx9P7wwrmlxXv6pYO+anLwEQThpvmAYRzMdgnZWuDijZwITkohsq45HL+lPlcuPyxfEpFWSZtRIonDqkKFdbPxjUi8e/nRrw1ZLnex6nrpsYLPdRRIlzaThooE5LFhzsEnsnvP6NLs9oiAI0raj3Bk3Vu8J4g92rM5TAFqVglHdUnn3xhHU/FJYlqJXkWHWSmb72zSThuevGsyc+etYvTvaqVghl3HxwBxuOqMbumRvLajUwKk3wvr54P3V9rMpXaDL6OTkJQjCSQsHI9RXeOLGK/c7iUQikvm8TBSTycSECRMYOXIkPp8PtVqNwWBAK4GdKw6x2+1MnTqVDz74ALfbDYDRaOSCCy7AarUmNzmi57Y5ZxVx/ydNCyzumNCdNAl0DRYE4QQ1Vxx1tI6l7ZVcHl2EPeNj8FRBKBjtNmXMAqnM62pNMOG+aGvize/S0Oa+65kw+T/J7zwF0O1MsHaC2r2Nj+tSYOh1yd8FRGhXpDOS3A4YVUYUMgWhSOz2cOk6iXTLSAKdUY1OwqsGlHY7tquupH7/ftR5eWi0WmRKJbIkr8Q4RKFUYs3IwuOox11XSyQcRq3TY7TZUR5R3FVaWsq9997LRx99xMGDB0lPT6d///7ceuutjBs3DoBvvv2Ge++9l1WrVuH1eOnWrRvTr57OnFvnoFAoWLBgAVOnTmXfvn3k5OQ0yaWwsJBJkybxyCOPMGbMGPr3789jjz0GwJgxY/j666+B6Gqc1NRUBg4cyNVXX82FF154zN/voRvvlStXMnz48IbjPp+P7Oxsqqur+eqrrxgzZkzD8xctWsT5558f899HWrp0KWPHjm14nslkoqCggLPOOovbbruNrKwkd4sROha5HPKGweb3Y8fTuoMy+ZOpySBXKDCnpmFOTUt2KvGldYfpH4C7CgLeX258MkAlkUGztB5w7VJYchfsXgZaKwy7HvpfCsbjvCapL4Gq7bB/NVjyIH84mLJBmfwCY0HoaLRKOTaDmmqXP2Y8XoeKjsCsU2HWSfdzyapXc/mwfM7qlUG1y49aIcdmVJNuksZ5w6pX86dzejKwUwpPL91Jeb2PvrkW/nxOD3pmmo/+AkfwBkKU1XtZtauKSoef4V3t5Nt0pEnkexWEjqZXdvy/4VSjGo2qY3azlslkZFp0ZFqke8+Vm6LnuSsHU+n04/YHsehUpBo1GKRSHGztBNd+CUsfgi0fgEIN/S+H4bPBkntcL1Xp8HGgxs3ynVWk6FWM6JpKulmDPtlFYoLQASlUclKyDFTsi71NTlZXS4crnDpErVZjs0lgm6U41Go13bt3Jzs7u6F4ymAwYDKZJPHfTKtSMHVIHp1TDfz7s63sqXTTJdXA7ycUMaSzDc1xLLgPh4P4fKXU1a/D496LxdIPvaEbWk1mK34HgiDEZc6OH1Oo4m9f1xGYMqIPqTJnweT/wri/RRdFaExgSAOdNdmZRVlyYcaHsPJJ+OmN6GLxXufDab+HlE7H91ruaqgvjm4nKVdBt3FgzARd/G7sQsci7j5bkF1nZ3LXySzasahJbGD6QOw6CVRnCnHJfymYkmu1yE92tYinBlwV4K0HrSXa1vAk2wYqlEoM1hR0JjMQQSaTN+o4tWfPHkaOHInVauXhhx+mb9++BAIBPv30U2688Ua2bNnCggULmDZtGudfej4vLnwRk8XEyq9Xcu/d9/Ldyu94++23mTx5Mna7nZdffpk777yzUQ7Lli1jx44dzJo1K26e1157LXfffTfBYJADBw6waNEipk2bxowZM3juueeO+fvNy8vjpZdealQ8tWjRIoxGI9XV1c185bHZunUrZrOZ+vp61qxZw0MPPcSLL77I0qVL6du370m/viAcsx7nwtL7Yq+8GPcPaex7LcRnTD/+QqREUWogsw9cNDe6p7xMHs1VfpyrWmr3wasXQuX2I15bC5e/E+1ipRCXk4KQSOlmLTed0Y27P9jUJJZt0dIt3RjjqwSpUCsV5KboyU2R5jZGaSYNlw/rxFk9MwiFI+jUCqz641sE4wmEWLq1nJteX0sofLgz84B8K09fPlDSRQqC0F4VpZvINGsprfc2id18RiEZorBR0qx69XF/FieMXB7dhmTSY3DmP6IdePWpx736u6zey61vrmXlrsPjPXIZ/HtKPyb0zpRUJ0lB6Ah0RjXDzy/gg//+1CSm0ijodEryt5wW4pPL5VgsFiwWaU4Ep+jVTOidyaD8FAKhMGqlHPtxdpyKRELUO35m7dqrCIcPd0nTavMYOOAVdLq8lk5bEISjMaZD7hA48H3TWP8rpDuGLkRpzdGHVFnz4ay7YeTvgEh0zv14twh3VsAXd8G6Vw8f+xQ47Q/RxR9iLk4AOubSslaiV+m5ecDNnN/tfBSywxOTo3JG8eBpD5KildB2Q0LrqTsIb8+EJ4ZEt0t6YjC8Myt6/CTJZDIUSiUKparJVn033HADMpmM1atXc9FFF1FUVETv3r2ZM2cOq1atwuVy8dvf/pYxE8Zw1yN30aNvD3Lyc7j4you594l7WbBgAfPnz0elUnHllVcyb968Ju8/d+5chg0bRu/evePmqNfryczMJDc3l+HDh/Pggw/y7LPP8vzzz/PFF18c8/c6ffp03nzzTTyewzc/c+fOZfr06cf8Gs1JT08nMzOToqIipk2bxvLly0lLS2P27Nkt8vqCcMyseTD9I7AVHD6mtcB5T0F2/6SlJbQjWjNYcqIrSI63cMrnhE//0rhwCiDohTcuAUdxy+UpCMIxUchlnNcvm9+N64ZGefh2rm+OhdevHS4KU4QWkW7WkmXVndBkfVmdlxtfW9OocApg7b5a5n67G38wdqdmQRBaT5ZVxxvXDaNPzuHBcI1Szm1nFnLuKVnI5cnvRCG0cWr9L/cc2cddOBUKhXlz9b5GhVMA4QjMefsnSmIU/QmC0PoyOpsZe2UP1LrDxYuWdB3nzxmAySaKboWTl2rSkGXVHXfhFIDXV8ZPP81qVDgF4PXuZ8vWvxEI1LdUmoIgHCtDGkyZB13HHT4mV8CAK2HMn0FtSFpqQjuh1ETvN8w5x184BbBvZePCqUOWPQSV204+P6FdEMt2WliaPo0/Df0T1/a9FmfAiV6px6a1YdZIuFozjgp3BTW+GoLhIFaNlXRdOkrRXaJ5nhp47ybY9WXj4zuXwPs3w8UvnnQHqliqq6tZvHgx9957LwZD0wsQq9XKwoULqaqqYsaNM5rEx0wYQ5duXXj99de55JJLmDVrFo888gjLli3jtNNOA8DpdPLOO+/w6KOPHnd+06dP5/bbb2fhwoWceeaZx/Q1gwYNonPnzixYsIArrriCffv2sWzZMp588knuueee487haHQ6Hddffz233XYb5eXlpKeLKnghQeQKyBkAVy8Gd2W05ajB/su+123rM9cb9FLpqaTOX4dWoSVFm4JNK6r12zRXJWz5MHbM74KyTdFVH4IgJJTdqGH2mG5cPCiPWk8ArUqO3aDGZjj+Qedkq3L6qHL58QVCWPVq0kwatMexVYMgPV9vq+BXdVMNXvtuHzNGdiHbKor8BCHRuqQaefnqoVS7/HiDYaw6FelmDRpl2/rM9YdCVNT7qHb7UcmjW9mmm8UkfltW4fTz0oo9MWORCHyyvoSbzihMbFKCIKDRq+g+PJO8nil4nQHkCjlaowqDpe3dc4TcAcKuABFfCLlOidygQq5tW2NuQmMe916CwdgFUtXV3xAIVKNStb05OUFo8yy5cPHc6Jiy3xld1GtIB00b65IeDoOjBNxV0X8fmq+Ri540bZanBpY/Fj++8inI6g8qcW/Z0YkrxFZgUBkwqNpuBW0wHGRL9Rbu+PoODjgPAGBUGfnDkD8wLn9cmywESxhXRdPCqUN2LonGW6F4aseOHUQiEXr06BH3Odu2RatmC4oKYsa7dOvCtu3R5/Tq1Yvhw4czd+7chuKp+fPnE4lEmDZt2nHnJ5fLKSoqYs+ePcf1dTNnzmTu3LlcccUVzJs3j4kTJ5KWlnbc73+sDv389uzZI4qnhMST+r7XR1HtqebVza/y8saX8Yf9APS09eTh0x+mk/k4950WpCPkg0g4ftxVkbhcBEFoRKtSkGfT05Y3I9hV4eSm19eyqSQ66K1Ryrn+9AKuOrXzCa0+FqShrJkOIS5/qElHKkEQEsdu1LTpz9c6T4CP15dw70ebcfqCAHSy63ni0oH0yjajEB202qRwJEKtOxA3XlonOk8JQrIoFHJMNh0mW9stfA/Weql5Zzu+HbXRA3LQD0jHMqEzCnPbPSd2dIFATbPx8C9jk4IgJIHOGn20VX437PkW3rvh8Ni3MR3Ofxo6jQRV2z0ndmhBP7ir48fdFRDyi+IpQWzbJzRV4iph5qczGwqnAJwBJ39f8Xc2V29OYmZtgPco7WCPFj9BkcjRJyBkMlmzz1XIFcg4PNA4c+ZM3nnnHRwOBxDdMm/KlCmYTKYTzvFQDsf6/CuuuIKVK1eya9cu5s2bx8yZM0/ovY/nPYHjylMQBAiFQ3y460OeX/98Q+EUwObqzcz6dBZlrrIkZiecFI0JTFnx41n9EpfLsQg3U+glCIKklNR6uPT5VQ2FUwC+YJj/LNnBBz8XExYFNm3WqG6pcWO9sszo1dLpcnMs91GCIEjHun01/Hnh+obCKYC9VW6mPbeS4lpPM18pSJlerWBQp/gLDc/oIa3FbeIaRRDajpDTT9Vrmw8XTgGEwf1jOXWf7yN8xPlEaFsMhm5xYypVCkqltLrciPsOQWhDanbDG5c0XjTsLIfXp0LNnqSlJZwknQW6jo0fL5wAagmdO8Q8R9KI4qnjUOWp4qDjIKWuUoKh9nthvWTvEjzB2INO/1nzH2q9tYlNqC3RHqUr19HiJ6iwsBCZTMaWLVviPqeoqAiAvTv2NonJZDJ2b9/d8BygocPU/Pnz2b59O8uXL2fWrFknlF8oFGL79u106dLlqM8NhKKrDau8Vfg0Ps6ZeA4zZ83E6/VyzjnnnND7H6vNm6PFgZ07d27V9xE6jkAoQKmrlIOOg9R4ml8R1ZZVeCp4fv3zMWNl7jJ21e1KcEZCizFlwfh/xY4VjInuMZ5sAS9U7oClD8A7M2D181CzN7rHhyC0QbVuP/ur3RTXevAGQslOp9VsK3NQVu+LGXviyx2UOUSXibaqW7qR7pmxB5z+PqmXJLreVDh8rNxZyZz5P3H7/HV8t6uKSmfs30dBkLpQOEJJnYf91W7K2/FnZ7XLx0Ofbo0Zc/lDLNksFmy0VVa9mr/+piexGod1STXQKzv5HfBD4Qj7qt3M/XY3N76+hseXbGd3pQt/sP1eqwntmyMYYr/XzwGvH2c7/j0OOQIE9jtjxtw/lhF2xu96J0ibRpNGWupZMWNdu/4ejSb53f39/hrq6taxecudbNh4K5WVX+HziesVoQ1zlEbHXOtL2m9hh98Dy/8beyeGcAhWPAHB9nvP1a4ptTD8xtidw/Q26H2BNLZlrN0P696IznN89jco3wy+2NcyQusQ2/YdA4ffwfqK9Tz0w0PsrN2JUWXksp6XMa37NNL0rbeFWDKEw2HWVayLG99ZuxNfSAwqx2VIg67jolv0/VrXcdF4K7DZbEyYMIEnn3ySW265BYOh8baRtbW1jB8/HpvNxvzn5jNyxEgc/mhHKZ1Kx49f/siO7Tv41z2HJ8hNJhNTpkxh7ty57Ny5k6KiIkaPHn1C+b388svU1NRw0UUXNfu8QCjAXke0uMsdcFPjrWH8lPHMvnQ2d/zhDhSK1lul7vF4eO655zjttNNadWtAoeMoc5XxyuZXmL91Pp6gh562nvxx6B/paeuJXqVPdnotyhf0UeurjRvfXrOdU7NPTVxCQsuRyaDbmTD1Ffj8b9HVNWoDDJ4Jp94EhvjdRRIiGIA930RXA4V/GfDd9B5oLXD1J5DRO7n5CcJx8AVCbC11cNeHG1mztxaNUs7FA3O54Yxu5FjbX0vwIztO/Vql048v0E4H4jqAdLOWl2YM5fEl21m49iC+YJiiDCN3TepN3xxLstOj3OHlD+/8zNKth1eRLlhzkLN7Z3DP+X1JMyW/uEsQjlWFw8uCHw/w7LJd1LgDdLLr+dM5PTi1wI5Vr052ei3KFwyzozz+oPEPe2uYMfLoC7YEaeqRaeLN64bzj/c3srnEgUoh47z+Odx2ZhGZluRfB20uqeeSZ1fi8kfvOT7ZUMp/v9zOy1cPZWgXG0qFBCZaBOEYhCMRdrh93LOzmC+q6pHL4JxUC3cWZFGgb3/b1ITiLNYAIBwh7Gu/hWPtnUqVQvfud6M3FHLgwP8IhZxotdl0LbgDu/00ZLLkdrv1+2vYs+cJ9h+Y13CsvPxDTMY+nNLvWbSazOQlJwjHy1UFOz6HL/8FdfujW9iNviNabGJsZ3NpAReUrY8fL1sPfle0EEdoe1I6w6wv4JM/wt5vo3MfhRNg/L2Q0inZ2UH1LnjpnGih4iEr/hvdMrLXedF5GaHVieKpY/BD6Q/c8tUtDf92Bpw89/NzbKjcwP2j7semsyUxu5Yll8vpaevJkn0xin+APFMeakX7GoBrUboUmPw4vH9z4wKqruOix3Xx25CfrCeffJKRI0cydOhQ7r77bk455RSCwSCff/45Tz/9NJs3b+bZZ59l2rRppN6eyvU3XI/JbOKLL7/gT3/8ExdffDFTp05t9JqzZs1i9OjRbN68mT/+8Y/HlIfb7aa0tJRgMMiBAwdYtGgRjz76KLNnz2bs2PgtESORCNXeanzBxje1o8aN4pst39A3r+9x/Tx2797NunXrGh0rLCxs+P/l5eV4vV4cDgc//vgjDz30EJWVlSxcuPC43kcQYqn0VDJn6Rx+rvy54djm6s1cvfhqXpzwIkMyhyQxu5anVqoxqow4A7EnM7pYxCRGm6azQq/JkDcUAm6Qq8CYAUoJXA84S+HtGYcLpw7x1sHC6+Cqd1utcFkQWtqOcicXPr2C4C9bwfiCYV5bvY+Vu6p4/dphkpg4bEnd0uO3wrboVKiVYhKyLcu26vjH5N7cdEY3guEIBrWSVIkUJX23q7pR4dQhizeWcfHgPM7smfxV6oJwLOo8Ae7/eAsL1x5sOLa3ys3sV9fwwIV9mTIoF0U7KuhQKeR0suvZVhb7nqNPdvKLM4UTp1MrGdrFzquzhuH0BVHKZdiManSq5A9dl9d7ufmNtQ2FU4cEQhFueH0NH98ymux2WOgutE/7vH5+8+M2HKHoQoVQBD6sqGNlrZNPBhWRr5PG9VpLURibGbeQgVwjne2kheOn0aRT0OUWcnMuJRwOoFBoJdFxCsDj2duocOoQh3MDpSWL6NTpuqQXeAnCMQn4YO2r8MXfDx9zlsMnd0S3txt7J2hMycuvpan0YC+Eso2x46lF0ecIbZNCCZl9YNqr0fkDZKCzgVYCv8PeevjkT40Lpw55/ybIPxVsYp4tEZJ/Bypx5e5yHvz+wZixFcUrKHOXtaviKYBzupzDsz8/SyDctG3tTQNuIkXbegVAJ8vhc1DnryMcCWNSm5KTqyUHLn4xuh+utz66VZ8hrVULpwAKCgpYs2YN9957L7fffjslJSWkpaUxaNAgnn76aQAuvvhivvrqK+69917OGHMGXq+XwsJC/vKXv3DrrbcikzXukT5q1Ci6d+/Ojh07uOqqq44pj+eff57nn38etVqN3W5n0KBBvPXWW1xwwQXNfl0wHKTG13RbM5lMRoo9BXfEjYVjHwydM2dOk2PffPNNw//v3r07MpkMo9FIQUEB48ePZ86cOWRmilUfwsnbV7+vUeHUIREiPLD6AZ4/6/l2de5I06ZxVe+reGrdU01iNq2NbtZuScjqGEUi4CiBgAcUaukUBUmRSYKfj7V7wR+nA0HZBnBXi+IpoU2o9wS4/5MtDYVTR9pV6WJDcX27K57qlWXBqldR6256z3HdaV3IkEihTSxuX5Aql59gOIJRoxSdiuLQqhTkpEhrULHO7Wfut7vjxl/8djfDC+wYNWKoRJC+SqevUeHUkR5YvIXTitLaVUFHqlHDnLO6c/2rPzaJaZRyzukjwWvVI1Q6fDh+KQqyG9ToxedMTHajRhLbux6pxu1nd6UrZqzWHaCs3tuu/taE9ssfCvPSgcqGwqkjVQVCvFtey4356ShkMfbQbKMUZjXKDD3BMneTmK5vKnKjKglZHZtgMIjT6SQUCqFSqTCZTE3G7gWQy1VotdnJTqORSCTMwYNvxI0fOPgaWVkXSqbQSxCa5SqFr++PHVv9LAy9tn0VT6n1MOpW2PRu7PiIW2Jv+yYV7mrw1oJMHp2T1ooFJjHpUlp9zv64uatgx2exY+EQ7F8liqcSRNypH4U74OagM/ZgFMD6yvX0tPdMYEatL9OQyTNnPsPtX9/esA2TSq7ixv430j+tf1Jza86euj08sPoBVhSvIEKEPql9+Ouwv1KUUoRKkeAboSR98GZlZfHEE0/wxBNPxH3O6NGjWbx48TG/5pYtW+LGli5d2uy/j1f4l32EN1RsaBr7ZQ9lq9VKJNJ4YvFo//61o8UF4WR9V/Jd3Ni2mm24gi5stJ/iKaVCyZSiKZS5yli4fSERon9jOcYcHj/jcbKMWUnOMA53NWz/HJbcBfXF0VUjA6fDyN+BWaI5C40FPM3HQ02LMgRBily+IKt2VcWNf7qxtN11w8m2annz2uFc878fOFAT/VuWy2Da0HwuGZwv2W4pB2vcPPTpVj76uYRgOELXNAN3Te7NwPwUDGIiXPKC4QieQPztWTz+EMEYE4qCIEW7KuJvYVfrDlDvCbS7go6hXWzcPr6I/y7ZTiAUveewGdQ8fcVAslKkuXWGyxdk7b4a/vH+JnZWOFHKZfzmlCz+MKG75ApMhdgO/a7F4wuK84bQNtSHQnxZHX/r7E8r65iebccigY5vLUVhUpM6vRdVr2wmUHK4CFLTPQXLbwqQS/T6vb6+nuXLl7NmzRoCgQBms5lx48ZRWFiIXi/OHVIXiUQIhhxx46GQR8xPCG2Huzr++Gs4FO2SYytIbE6tzV4IF74AH/4uukUfgNoIk/4r3e816IfyTfDRHDj4Y3Q7uq7j4Oz7o9+PKL6VvkgoutA/Hl/8+3+hZSX16vD+++9n4cKFbNmyBZ1Ox4gRI3jwwQfp3r17MtNqRClXopApCEViD7BaNdbEJpQAaoWaQRmDeHvS21R6KvGH/GToM7Dr7Ggluo/rQedBrvzkyoZiL4ANlRu48pMreWfSOxRYJXpCExrIZXJMKhP1/tg38RaNqJAW2g67zh43plFoUMqkOThzMlJ1qfx+8O+5us/VVHmq0Kv02LQ20vXpyU4ttnAYtnwY3Wb1kIAbvnsaKrfChc+DITV5+QnHxlYQXUkTiTFhkYCuj4LQUuQyGRadiiqXP2Zcyl2YTpRMJqNHlpkFs0dQ6fTh8gVJN2mxG9WYtNJcAV5a7+XKF1ez64juEzsrXFz54mreum44wwrin/8FabDqVEzsm8WW0tiTGZP6ZWPRSfP3TxB+zXyUz8r2uP2pzaBm1qgunNc/h7J6LxqlnFSjhkyzFrlcmhMCG4vruOLF1Q3/DoYjvLeumJ8P1PHGtcPJtEhznE04LMWgxqxTUu8JNokp5TKyxX9DoY1QyWRYVUrAFzOeolSgkuhn6clQ2nSkzupDyBkg7AmiMKiQG1Uo9NK85nO5XLz33nvs3Lmz4Vh9fT2LFi1i0qRJDBgwALm8/Z3j2xO5XEFmxnlUVHwaM56WOg6VSsx1CG3E0eaE2+MWdhoj9DoP8of9soWaLLojgykjunOFFNXshrnjIfjLOT4SgR1fwNw1cO3XkJKf3PyEo9NYIK0HVMRpaJJ/amLz6cCSepX19ddfc+ONN7Jq1So+//xzAoEA48ePx+WK3Qo5GWxaG+Pyx8WMqeVqetl7JTijxFDIFWQaMumT2oeBGQPJMeVItnAqEonwxd4vGhVOHRIIB3hhwwt4gkfpTCEkzH333YfRaGzysJgtXDP1GuSyph9LWqUWjaL9TRoK7dfwrOExf5cBzut6HjZt++k6dSSj2kgncycGZgykh62HdAunILpV35J/xo7t/DIaF6TPmA6n3hw7NvFhMIkOYkLbkGpUM2NE57jxyf1zEpdMgmWYtfTOtjC0i53OqQbJFk4BbCmpb1Q4daS7P9xEtSv2RJQgHQqFnAsH5sTcajHbouXsPpliOxShzciz6THrYi/KGNw5BZtBogP7J0mvVpJv0zOks41Tcq1kW3WSLZyqdvm4+8NNMWO7K11sKY3fAUaQjgyThr+f2ztm7JZx3Uhth0XuQvtkUSm5IS/+OM31+enoFYoEZpQ4CqMadaYBbRcLqnS9ZAunABwOR6PCqSMtWbIEhyN+RyNBOszmfhgMTZtEKBRGOneejULRvrqDCu2YPhXS4+y+ZM6Ojs22R0o1WPMhbyjkDQFrnnQLpwJu+PbRw4VTR3JXR7cgFN3upM+YBr95JLpQ/Nd6XyR2SkmgpBZPLV68mBkzZtC7d2/69evHvHnz2LdvHz/++GMy02pEr9IzZ/Ac8k2NqzKVMiWPjX1M2hPDHYQn6OGbA9/EjX9f+j1Ov2hnJxXXX38969ati/l48YUXKbAUYNFYkMvkKOVK0vXp5JvyE7/1oiCchDRdGg+f9nCTAqqilCKuPeVaNEoxuJp0Pge4KuPHyzYmLhfhxGlMMPIWuHgupHUHtQFyh8KMj6OticVqTKGNUCjkTB2Sx5DOTbul3XNeb7JERwNJ+GZ7/PPGxuJ6PP7428EJ0pGbomfB7BFceWonLDoVVr2KWaM6M//6U8lpZ1ucCe1bhlnL3OlD0KoaX+9kmrU8fHE/rHqJDu53IB5/iA0H4xdINXdeEaRDqZAzvlcGr10zjH65FvRqBd0zTDxzxSCuGN4Zvbr9dZYW2q/BFj1TM5rec1yTk0pPg7gOkoKysrK4Mbfbjc8nFmy0BVptJv37vUjnzregVqeiUBjJyDifIUPeRacTHWCENsSYBhfPa7pDg8YE094QC1elwFsPe+LPkbPj82iBlSB9OQPh2q+g4IzoPEdKFzj30ej2i3rR7T5RJHV3V1dXB4DNFrsjh8/na3RxWF+fmBVaOcYcXprwEttrt/N96fdkG7M5NftU0vXpqKVaadqBqBQq0vRpceM2rQ2VXBTeSIXNZov7N35ItiGbkD46+aSUK8Xqb+GkJOPcoVPpGJ0zmg/O/4BvDn5DhbuCU7NPpcBS0OznlZBASk387d4ADKI4us0wpEKfi6DzaRDyg0oH+vbZ3U1IjGTdc2SYtTx1+UD2Vrn5aksFFr2ScT0zyDBrMWokddvWYWVb4xexmbVKFBLtfCI0lW/T87ff9OLGMV0BGTaDCrWyfXZaEBIjGecOhVxG/zwrn992Oqt2VbGzwsmgTjb6ZJvJEoWAkqCQy+Ju9wbNn1cEaTHrVIzslsq8q4fiDYZQK+TYjWJRlHDiknXPkaZWcVdhDtfmpfFpZT0KGUxItZClUZGiEvccUmA0GuPGZDIZSqX479RWaLVZdOl8I7k504hEwiiVVpRKcY0mnLhknTtI7wHXLoWDa6B4DWT0hvzhYM4FMXeXfAo1GNKg7kDsuCkLxBx526DSQXZ/mDIPAi6QKaLbRQoJJZkrrXA4zK233srIkSPp06dPzOfcf//9/POfcbbYaWXphnTSDemMzBmZlPcX4lPJVVze83I+3PVhzPisPrOwaq2JTUo4KXK5HHlyG+MJ7Uiyzh06lY58VT6Xmy9P+HsLx8CQCt0nwpYY5w6NGVILE5+TcHKMojBRaBnJvOdIM2lJM2kZ3FkUAErRuB4Z3PvRZsIxup3PGNmFVDGJ2qaolXIyLWLyQmgZyTp3KBVy8mx68mz6hL+3cHSpRg0zRnThv0u2N4nJZXBGDzEQ3taktNPtMIXES+Y9h02lxKZS0tckzh1SZLfb0Wq1eL3eJrGioiIMBkMSshJOlFyuRKMR53uhZSTz3IE1L/rofV5y3l+IT2+DkbfC29Njx4f9NroNodB26CzRh5AUkqlOuPHGG9mwYQNvvvlm3Of8+c9/pq6uruGxf//+BGYoSFm+KZ85g+Y0OX5htwsZlDEoCRkJgiAV4twhxKQxRdudphY1Pq42wBULonu2C4LQIYnzhhBPhiXaHUz5qw5TI7rauHxYPkqFZG6vBUFIMHHuEGJRKuRcPiyfkV0bb7GglMt48vKBZJpF0a0gdFTivCHEYzabufzyy1GrG090p6amcs4556DRiHOHIHRU4twhxNVpJAyMUTx15j/B1jXx+QhCGyaJzlM33XQTH374IcuWLSM3Nzfu8zQajbg4FGIya8xMKZrC2LyxfF/6Pf6Qn6FZQ0nTpYmuU4LQwYlzhxCXNR+mfwBVO6Mth635kNUfzDkgF1v3CEJHJc4bQjw6lYIx3dP58vbT+X5vDTUuP0O72Mi26kTXKUHo4MS5Q4gnw6zlP5cOoLjWw+rd1aQY1AzplEK6WYtWJe45BKGjEucNIR65XE52djazZ8+mpKSE2tpasrOzsdvtmEymZKcnCEISiXOHEJcxDc68C4ZdD7uXgVIDnUeDMQO04twhCMcjqcVTkUiEm2++mUWLFrF06VK6dOmSzHSEk+AJeqjyVOENetGr9KTp0lApEruHqlFtxKg20tnSOaHvKwiCIJwgZzl4aqP/X58S3Zs70UyZ0UdnsS2vIAiC1PmDIcodPty+EDq1glSjGp06sbe0WpWCfLuBfLvYLkMQBKEtqHH7qXH7CYUimHUqMszahOeQatSQatRwSq414e8tCIIgHJ9QOEJZvRenL4hGKcdu0GDUJvaeQ6FQkJKSQkpKSkLfVxAEQThB3npwV0LQBxozmLJAnuDu5Hpb9JHRK7HvKwjtTFKLp2688UZef/113nvvPUwmE6WlpQBYLBZ0Ol0yUxOOQ7m7nMfXPs6Huz4kGA6iV+q5us/VTCmagl1nP/oLCIIgCB1LyA/FP8H7N0LF1uix9F5w3pOQeQooJNEYUxAEQZCQSoeXl1fu5cVvd+P2h1Ar5EwZlMstZxYmZSJcEARBkLZIJMKOcid/WPAza/fVApCbouPe8/sypHMKeo245xAEQRAaq3H5+Xh9Cf/32VZq3AHkMjirVwZ/O7cXuSn6ZKcnCIIgSFHNXvjkDtj+GUQiYEiFM++G7hOjC8YFQWhTElz22NjTTz9NXV0dY8aMISsrq+Hx1ltvJTMt4TjUeGv4+/K/8+6OdwmGgwC4g26eXPckr295HX/In+QMBUEQBMmp2QPzJh4unAIo3wQvnQO1e5KVlSAIgiBRHn+QZ77exeNf7sDtDwHgD4V5bfU+/vbeBmrd4p5DEARBaOxgrYcpz65sKJwCOFDjYca81WwvdyYvMUEQBEGSIpEIX2wu4y/vbqDGHQAgHIFPN5Yxc973lNd7k5yhIAiCIDn1JfDK+bDt02jhFICrEt67AXZ9ldTUBEE4MUktnopEIjEfM2bMSGZawnGo8laxvHh5zNj/Nv6PCk9FgjPq2EpLS7n55pspKChAo9GQl5fHpEmTWLJkScNzVqxYwcSJE0lJSUGr1dK3b18eeeQRQqHoRNSCBQtQKBQcPHgw5nsUFhYyZ84cAMaMGcOtt97aEBszZgwymQyZTIZGoyEnJ4dJkyaxcOHC4/o+vv76a8444wxsNht6vZ7CwkKmT5+O3x+dGFu6dGnD+/z6cehn0LNnz5ivvW/fPhQKBe+///5x5SQIQgsJemHFk9HuU7Fi378IoUDi8xIEQRAkq8Lp538r98aMfbaxjCqXKJ4SBEEQGvtqSzm17qb3FZEIPPzpVuo94p5DEARBOKy03stDn26NGdtW5mRvtTvBGQmCIAiSV7kNqnfFjn3xj2hxlSAIbUpSi6eEtu+gM3aBDYA35MXp75ir+ep8deyu283PFT+zu243db66Vn/PPXv2MGjQIL788ksefvhh1q9fz+LFixk7diw33ngjAIsWLeL0008nNzeXr776ii1btvC73/2Of/3rX0ybNo1IJMLkyZOx2+28/PLLTd5j2bJl7Nixg1mzZsXN49prr6WkpISdO3eyYMECevXqxbRp07juuuuO6fvYtGkTZ599NoMHD2bZsmWsX7+exx9/HLVa3VDgdcjWrVspKSlp9EhPT2fWrFls2bKFFStWNHn9efPmkZ6ezsSJE48pH0EQWpjPCQe+ix/ftwp8jsTlIwiCIEhenSeAPxSOGy+rE6vABUEQhMOC4TDfbK+MG//5QC0ufzCBGQmCIAhS5/GHqHD44sY3HGz98X1BEAShjTnwQ/xY7T4IehKXiyAILUKZ7ASEts2mscWNyZChVWoTmI00lLpK+ceKf7Ci+HDhzsjskdw14i4yDZmt9r433HADMpmM1atXYzAYGo737t2bmTNn4nK5uPbaa5k8eTLPPfdcQ/yaa64hIyODyZMnM3/+fC655BKuvPJK5s2bx5133tnoPebOncuwYcPo3bt33Dz0ej2ZmdHvMzc3l+HDh9OjRw9mzpzJ1KlTOfPMM5v9Pj777DMyMzN56KGHGo517dqVs88+u8lz09PTsVqtTY7379+fgQMHMnfuXEaMGNFwPBKJMG/ePKZPn45SKT7+BCEplBow50D55thxcy50wHOHIAiCEJ9erWg2btGrEpSJIAiC0BYo5XI6pxrixjPMWlRysZ5UEARBOEytlKNRyvEFYy/ayLHqEpyRIAiCIHkpnePH1EaQi/EqQWhrxEiBcFLSDelkGbJixkbmjGy2uKo9qvPVNSmcAlhevJy7VtzVah2oqqurWbx4MTfeeGOjwqlDrFYrn332GVVVVfz+979vEp80aRJFRUW88cYbAMyaNYvt27ezbNmyhuc4nU7eeeedZrtOxTN9+nRSUlKOafu+zMxMSkpKGr33iZg1axbz58/H5XI1HFu6dCm7d+9m5syZJ/XagiCcBI0JRs2JHx95M6j1ictHEARBkDy7Qc3wgtj3FZ3telKNmgRnJAiCIEjdlMG5yGSxYzed0Y1Ukzh3CIIgCIelmTRMG5oXM2bUKOmVbU5wRoIgCILk5Q4GVZy5jCHXgKn1GmoIgtA6RPGUVDkrYP938Nnf4Kv7oGwjeGqSnVUTGfoMnjrzKdL16Y2O90jpwd+G/w2TxpSkzJKj2lvdpHDqkOXFy6n2VrfK++7YsYNIJEKPHj3iPmfbtm0A9OzZM2a8R48eDc/p1asXw4cPZ+7cuQ3x+fPnE4lEmDZt2nHnJ5fLKSoqYs+ePUd97pQpU7j00ks5/fTTycrK4oILLuCJJ56gvr6+yXNzc3MxGo0NjyM7Yl122WUEAgHefvvthmMvvfQSo0aNoqio6Li/B0GQunA4Qn2lh80rSvhm/ja2fleKo8pDJBJJdmpNpfeCcXeB7IjLELkCJtwPqeLvUxAEIVFq3H42Ftfxf59u5YFPNrNuXw1VzvhbVSSLVa/m4Yv7UZhubHQ826LlxelDyDCLjoWCIAiJUlzr4ZMNJfzzg428snIPe6tc+EOhZKfVRI5Vx+OXDkCtaDz0Of3UTozqlpqkrARBEDoer9dLRUUFy5YtY/HixezevRuHw5HstJrQKBXMPr0bI7vZGx0365S8MmsoWRbReUoQBCFh6ktg55ew+M/w7WNQuR38zmRn1ZQ5B65YCJpfFdh2Gw/DZ4NCdJ4ShLZG7FslRY5SeO8m2PH54WNfPwijbocRN4FeWt2culm78frE1zngPECJq4TO5s5kGjJJ1XW8wSiHv/kbv6PFT9TxFEcc63NnzpzJbbfdxuOPP47JZGLu3LlMmTIFk+nECuIikQiyeMs+j6BQKHjppZf417/+xZdffsl3333Hfffdx4MPPsjq1avJyjrc6eybb75plI9KdfhCxGq1cuGFFzJ37lxmzJhBfX09CxYs4Mknnzyh/AVByiKRCJX7HLz76FoCvsMTFxq9kvPnDCQ119jMVyeBPgWGXgu9z4OS9SCTQWZfMKZF29kKgiAIra7a5eM/X2zn5ZV7G4498/UuzumTyd3n9SbNJK2CpDybnteuHUZJrZddlS5yU3TkpejIFJMYgiAICbO70sklz66i3HG40FatkDNv5hCGdrahVEhnjaZereRR4TrTAACYk0lEQVTMnhksuf10tpY5cPtD9Mk2k2rUYNaJSQxBEIRE8Hq9/PTTT3zyyScNx1atWkV2djbTpk3DbJZWN6dMi5bHLx1AWb2PbWUOUo0aOqcayDRrUciPPq4tCIIgtIC6A/DaFCjfdPjYkrvgvKeg12RpzR8olJA7BGavgKod4KqEjN5gzACD/ehfLwiC5IjiKSna+knjwqlDvv039JgoueIpgAxDBhmGjMS9YcALzlI48D24qyFvGFhywZDcgi2TuvnCoqPFT1RhYSEymYwtW7bEfc6hbkubN29mxIgRTeKbN2+mV69eDf+eNm0at912G/Pnz+e0005j+fLl3H///SeUXygUYvv27QwZMuSYvyYnJ4crr7ySK6+8knvuuYeioiKeeeYZ/vnPfzY8p0uXLlit1rivMWvWLMaNG8eOHTv46quvUCgUTJky5YS+B0GQMletn4+fWd+ocArA5w7y6fMbOH/OAAwWiW1LoTFGH7aChL2l2+HHWe2ldFcdWoOKjAILBosapUqRsBwEQRCkYmups1Hh1CGfbCjlN32zOLdfdhKyal66SUu6SUu/PGtC3i8UjlBS52FTcT0Haj30zbHQyaYnXXS6EgShA6p1+/nTgp8bFU4B+ENhrvvfj3x662hyUqS1/bZWpSDPpifPlri8at1+yh0+Vu+uRqWQM7SLjTSjGqNWFGwJgtDx1NfXNyqcOqS4uJjvv/+eMWPGoFBIa0zGZtBgM2jomZW4wq5SVym76naxs3YnXS1dKbAWkGkQWz0JgtABBb3wzaONC6cAIhF474boXLBdQsVTEC2gsuZFH4nic4KzDPaugJAPOo0EY2Z00bogCCdFFE9JjbMcVjXTGef75yG7P8g78H+6gCfarvHt6RAKHD5eMBYueCape8jatDZGZo9kefHyJrGR2SOxaVun8M1mszFhwgSefPJJbrnlFgwGQ6N4bW0t48ePx2az8e9//7tJ8dT777/P9u3bueeeexqOmUwmpkyZwty5c9m5cydFRUWMHj36hPJ7+eWXqamp4aKLLjqhr09JSSErKwuXy3VcXzd27Fi6dOnCSy+9xFdffcW0adOa/GwEoT3wOPy4amNvs1Rb5sbjDEiveCrBXLU+lvxvM/s3Hd4+Va6QMeHaPuT1sqFSS2uwThAEoTV5AkFe/HZX3Pjz3+xiVGEqVr06gVlJSygcYf3BWq54YTVOX7DhePdMI3OnDyUnRXS8EgShY6lx+flud03MmNMXZE+VW3LFU4lW5fTx6BfbeXXV4eJkmQzuPKcnU4fkYtF13POqIAgd08aNG+PGvv/+e4YMGSK57lOJtrtuN9d8dg3l7vKGY2m6NF6c8CJdLF2SmJkgCEISuCph3auxY5FItPGIvWtic5Iabx2sew0+vTP6Mzlk0NUw9i/R3T0EQThh0umnLUSFQ9EPvnhclRAKxo93BPXFMP/KxoVTALu+gh9eSurPx6KxcNeIuxiZPbLR8ZHZI7lrxF1YNJZWe+8nn3ySUCjE0KFDWbBgAdu3b2fz5s3897//5dRTT8VgMPDss8/y3nvvcd111/Hzzz+zZ88eXnzxRWbMmMHFF1/M1KlTG73mrFmzWLFiBc888wwzZ848pjzcbjelpaUcOHCAVatW8cc//pHrr7+e2bNnM3bs2KN+/bPPPsvs2bP57LPP2LlzJxs3buSPf/wjGzduZNKkSY2eW15eTmlpaaNHIHD490ImkzFz5kyefvppVq5cyaxZs47pexCEtiYYCDUbDwXCCcpEmsKhMJuWFzcqnIoej7D4uQ1xC88EQRDaq2AoQp0nEDde5wkQCHXsc0dpnYer5jYunIJox667P9yEwxv/5ycIgtAe+Y9yXqhv5rzSUXy/p7pR4RRE5zPu/XgzeyrdScpKEAQheZxOZ9yYz+cjcuSkbwdU5anitqW3NSqcAqjwVHDrV7dS6a5MUmaCIAhJEg5Fu0/F46xIXC5SVb0LFv+5ceEUwI8vRTtRCYJwUkTxlNToLND1zPjx3heCqoNvE7H9s+gJNJbvngFXeexYgmQaMnnwtAd5//z3eW3ia7x//vs8eNqDrd5qt6CggDVr1jB27Fhuv/12+vTpw1lnncWSJUt4+umnAbj44ov56quv2LdvH6NHj6Z79+48+uij/OUvf+HNN99EJmu8d/uoUaPo3r079fX1XHXVVceUx/PPP09WVhZdu3blwgsvZNOmTbz11ls89dRTx/T1Q4cOxel0cv3119O7d29OP/10Vq1axbvvvsvpp5/e6Lndu3cnKyur0ePHH39s9JwZM2ZQV1dH7969GTZs2DHlIAhtjd6sQS6XxYwpVXJ0po69RYS73s9PS/bHjEXCEfasF4NRgiB0LEaNkgm941+bjuuZjkXXsc8du6vc1HtiL8r4fFMp1S5/gjMSBEFILrNOhd0Qv3NSYYYpgdlIT43Lz9NLd8aNz1uxB3+wYxcmC4LQ8fTo0SNurHPnzqjVHbsjX7W3mp21sc8du+p2Ue2rjhkTBEFot9RGyB4QP96tmfnzjiAUgO+eix9f/ii4xblDEE5GB977TaJUehg9Bza9C4FfrUqz5EHB6TG/rEOpjT0BDoC3Nn5hVQJZNJZW7TIVT1ZWFk888QRPPPFE3OeMHj2axYsXH/NrbtmyJW5s6dKlzf77RAwYMIBXXnml2eeMGTPmmFcm5ebmEgol/3dCEFqT3qxiwPh8fly8t0lsyLld0Js79mBUJAw+d/yuhI6qZlazCIIgtEMymYyz+2Ty7LJdVDgad98zaZRcdWpn1MqOvZ1ppTN+V8JwBHxiAlwQhA4mw6Tlr+f24ra31jWJXTQwhzRjx77nCITCVDrjF9aW1nsJhMKolWIdqyAIHUdGRgbp6emUlzde7CyXyxk/fjw6XcfeCtsban48yttc9xVBEIT2yGCHsx+El86ODuofKWcw2AqSk5dUhPxQfzB+3FkefY4gCCdM3LFLUUoXuPZLKBwPMhkoNTDgKpjxEVhyk51d8hWMiR/L7Auqjn3TJQhCx6PSKOk3Lo+xV/bAmKIBwJyq5ayZveg5MgulqmNPgCvVclLzjHHjeT1tCcxGEARBGnJT9Lxz/alcOCAHlUKGXAYTemfy7o0jyUvRJzu9pOveTAeVFL0Ko0asQxIEoWORy2WM65HO3BlD6JYevbZONar562968ueJPbHoO3bxlEmnZFiX+PcVpxemoevg92WCIHQ8ZrOZyy+/nOHDhzd0merUqRPXXHMNqampSc4u+awaK0pZ7PsKhUxBiiYlwRkJgiBIQNYpMPMzyB0S/bfGBCNvg0teBVNGcnNLNpW++e5bnUaCxpy4fAShHRIjvlKkUEJ6T7joRfDVR4/p7aIo6JDMPtHq4updTWMT7gODuPGSsvvuu4/77rsvZmz06NF88sknCc5IENoHnUlNr5HZdOptJxyOIFfIMFg0yU5LEnQmNaOmFPLuI2ubxCxpOlJz4xdWCYIgtGed7Ab+dUEffj+hOwBmnRKjpmNv13dIuknDqG52vt1R1ST2+/HdyTB38K3UBUHokMw6FWf0SOeUHAu+YAilQk6aMf4W4h2JTqVk9piufPhzCf5Q41XyFp2K35ySJX5OgiB0SBaLhTPPPJNTTz2VSCSCRqPp8B2nDrFr7VzS4xJe2/xak9jUoqnYdGKxnyAIHZBKB3lD4LL54HeBTA7GdFCI8SpkMuh1Hnz7CHhqGscUahh9O6jFgkhBOBmieErKtOboQ2jMnA1XvQef/wM2vxfdps9WAOc8DNkDk52dcBTXX389U6dOjRkTN86CcPIMVlEwFUtavolJt/Rj2ZvbqCv3IJPL6DogjVMv6IoxRUyAC4LQcenVSvRqcVv4a3ajhn9P7c9TS3fw5ur9+IJh0k0a7pjQnTN7ZqAQE+CCIHRgqSZxzxFLp1Q978w+lb8s2sD6g3UAjOqWyj8m9yI3RYx3CILQcSmVSiwWS7LTkBy9Ss+1fa/FrrUzb+M86v31mFQmZvSZwUWFF2FQGZKdoiAIQvLobdGH0Jg1P9qZ65M/wK6vosey+sO5j4htDQWhBYhRcqFtsubDeU/Amf+AUDDatrENtGuMRCJEgkEAZDIZMmXH+xO02WzYbOKCRxCExFJrleT3snPB7QMJeEPIFTJ0RjUqbRvYOsPvAm8tIANDmlhlIwiCkCAZZi13TuzJtaML8AfD6NUKMsxaZDLpF05VOnwEQmHUSjl2oyhyEARBSAS1QsEpuVZenjmEOk8QuQysejUWnfSv3/3BENWuABEiWHUqdKKwWhAEISHsOjtX97macwvOxRfyoVFqSNOloZRL/3M45AoQCYSRKWQoTB17+15BEISEkckgrQimzIt2n4qEQWsFgz3ZmR1dKASu8l9yNkfn9gVBYqR/BSYI8agN0UcbEQkECDkcBCsqiASDyHU6lJmZyDUaZIo2MHkvCILQDhgsGmgrix3D4egWtV8/CFs/irbeHXAlDPstWHKTnZ0gCEKHoFEqyE1pOy3Pa9x+vttVzSOfb2VvlZuuaUZ+P6GIgfkpWPViQkMQBCERbAYNNkPbKVw9UOPmxW93s2DNAUKhCL/pm8WNZ3Qj36ZvEwXDgiAIbZ1SriTLmJXsNI5Z2BskUOKibvFu/AedKCwazGPz0PawoTCKew5BEISE0Fmjj7aivgTWvgrfPwc+BxSMhXF/A1shKKW/2EToOOTJTkAQOoJIMEigrIxAcTGRQAAiEcJuN/5duwi73clOTxAEQZCi2j3w/FhY/8v+7p4aWPFf+N9kqDuY7OwEQRAEifEGQry5eh/Xv/oj28qc+IJhNpXUM3PeD7y/rhh/MJTsFAVBEASJKa71cMmzq3hp+R7qPUFc/hDzfzzA+U8uZ3+NJ9npCYIgCBITiUTw7qyl4tmf8e91QDBCqMpLzTvbqf9iH2FPMNkpCoIgCFLjKIW3roCv/gXOcgh4YOvH8NwYqNqW7OwEoRFRPCUICRAJBgnV1saMBUpKCAcCiU1IEARBkLaAF1Y8Dr76prGqnbB3eeJzEgRBECStwuHj0c+3x4w9sHgL5Q5fgjMSBEEQpG7J5jIO1jYtkqpxB3j9u70EQuEkZCUIgiBIVajeT+17O2PGXKtKCDn9Cc5IEARBkLyKrXDwh6bHgz74/O/gjTEHIghJIoqnBCEBwp74q/Uifn90ayZBEARBOMRTE119Ec/6+dECK0EQBEH4RYXDhz/OJLfbH6LaJSYyBEEQhMOc3iAf/FwSN754Qym1bnHuEARBEA6LeIKE6+OfGwKlYpcNQRAE4Vc2fxA/tvPL2AvIBSFJRPGUICSATC7+1ARBEITjIJeD2hA/rrGAXJG4fARBEATJUymav+c4WlwQBEHoWBQKMGji31MYNEoUclkCMxIEQRAkT9H8eUGuEfccgiAIwq9oLfFjKj3IxLlDkA7x2ygICSDT6UAW+8ZCbjQiUyoTnJEgCIIgaYZ0GPrb+PGh14BClbh8BEEQBMlLM6lJM2lixnJTdNgM6gRnJAiCIEiZTqVk5sguceMzR3bBZoh9XhEEQRA6JrlehTrfFDMmU8lRpukTnJEgCIIgeX0uih8bOB30qYnLRRCOQhRPCUkV9vnwFxfj37ePYGVlstNpNTKlElVubuzjWVnIFC3TPaS0tJSbb76ZgoICNBoNeXl5TJo0iSVLljQ8Z8WKFUycOJGUlBS0Wi19+/blkUceIRQKAbBgwQIUCgUHDx6M+R6FhYXMmTMHgDFjxnDrrbc2xMaMGYNMJkMmk6HRaMjJyWHSpEksXLjwuL+Xr776iokTJ2K329Hr9fTq1Yvbb7+9Ia+lS5c2vJdMJiMtLY2JEyeyfv36Rq8zY8YMzj//fIBGz4/1uOuuu447T0EQEq/a5WNftYsDNW7cvmCy02kdMhn0nAz5w5vGBs8Ce1HicxIEQWirQkGoOwDVu6G+BCKRZGfUKtJNWp6+fCAaZePbfL1awVOXDyTDrE1SZoIgCG1PvSfA/mo3+6vd1HsCyU6n1fTMMnPh/7N33+FRldkDx7/TW2YmvQdIgNBRelGasnawgrCiCIgNC3Z33V13bVvc1f3t6tpWwK5gWXUtuCp2RYqgSAudQArpbfrc3x8jgZiZkEkmTJI5n+fJs8t9Z+68dxLnzL33vOcMy2q2fWLfZCb0lZsYQgjRaooCNQehYhdUH4CfrrV3NxqLjoSL8lGbf7YYXA2Jv+yPxiYLNoQQotXc9VC1L3C9qqEi2rPpOLZMOOW3zben9Idx14JWYofoPKTcTYT4HQ68ZWX46+tRm81okpLQWFpotyPwFBdT9uRTVL/2GorLhT4vj7Rf/QrTsBPRxMVFe3rt4q2uxldejr+2FrXVhiYpEY3VirpvX3xV1ShuF2qrFbXZjFofmaCwZ88eTjrpJOLj43nwwQcZMmQIHo+HlStXsmjRIrZu3cobb7zBzJkzmTdvHqtWrSI+Pp4PP/yQ22+/na+//prly5czffp0kpKSeOaZZ/j1r3/d5DU+++wzduzYwYIFC0LOY+HChdxzzz14vV4KCwt54403mDVrFpdffjlPPvlkq47liSee4Nprr2Xu3Lm89tpr9OrVi3379vHss8/yt7/9jYceeqjxsdu2bcNms3Hw4EFuu+02zj77bHbs2IE+yPtaVFTU+P9feeUVfve737Ft27bGbXFd/O9OdEF1h6ChHBQfmBLAmhGySp0Ap8fH5oM1/O6tTWw6UINWreLsoRncdlo/shO74co2WwbMeBZKt8D3LwdK2A67BBJywZwY7dkJIaLA7fVRWuui1unFqNOQaNFjN0kVuhbVlcDapfDNY+CsAlsWnPIbyD+j232WqtUqTsyJ54ObJvLB5hK+L6xiRI8EThmQRla8KdrTE0JESWW9m8oGNy6vH5tRR5rNgFbaeIbk8yvsPFTHPW9v5osdZahUMLFvCr89ZwC9U+JQdbPzteQ4A785ZwBzxvVkxdr9eHx+LhqeQ+9UCylWSboVIhYpig+XqwSPpwa1WodOl4Be372+N0dcfRlsfRc+uR9qiwPX+MbfAMPmQFxqtGcXcbpUM6nXD8O5owrXjiq0qWbMQ5PRxBtQyXcMIWKTsxYaDoG7AQxWsKaBVr5LtqhiN3z0B9jyFvh9kDUCzvorpA0CbTer/mqKh1FXQP7psOElqD8Egy+AjBMCiVVCdCKSPBUBnkOHKPvXY1S9+ip4PKDRYDv7bFJvuRldWlq0p9cpeQ6VUXjd9Tg3bWrc5t61i/0LF5Lz1JPETZgQxdm1j6eomIO/+Q0NX37ZuM188slk3nsvuox01Gkdc8J07bXXolKp+Pbbb7Eclbg3aNAg5s+fT319PQsXLmT69OlNkpiuuOIK0tLSmD59OsuXL+fiiy/m0ksvZdmyZc2Sp5YsWcKYMWMYNGhQyHmYzWbS09MByM7OZuzYsfTv35/58+czc+ZMpk6d2uJxFBYWcsMNN3DDDTfw8MMPN27v1asXEydOpKqqqsnjU1NTiY+PJz09ncWLFzN9+nS2bt3K0KFDm+378LwA7HY7KpWqyTYhjhu/D0p+hNcXwqGtgW3WdDj7IcidBAZJ5AtmR2kdM574Gp8/UDHE61d4c8NB1u2tZMVV48jojjeGrWmBn96Toz0TIUSUVdS7eOnbfTy6aicN7sAq5gl9k3ng/CHkdMcE0khwVMLK38APy49sqzkA/7kGzvhT4MJNN2uBqtWo6ZlkYeGEvGhPRQjRCewpq+eWFRtZt7cSAJtRy22n92PaCZnEm2V1bzD7Kxo4/9Evqf8p1ioKfLr9EN/9q5L/3jCBHt0w5iZaDCRaDAzvkRDtqQghoszjqaGs/GMKCu7H4wlUwLBaBzNw4F+Js/SN8uw6Ka8L1j8buAF+mKMy8O+qvfCLe8Foi978Oog2wUjcqHTiRsm1dSFiXnUhvHcHbHsn8OVZa4Qx1wQqCnXDBNKIqCqEZWcHrlEddmAdLDkNrvw0kEDV3ZjiAz9nDIn2TIRokaSBt5Ovvp5Df/8/ql56KZA4BeDzUfPWWxT/4Q94q6ujO8FOyrN/X5PEqaOVPPDHLtvCz1td3SxxCqDhiy84+NvfdtjfQ0VFBe+//z6LFi1qkjh1WHx8PB988AHl5eXceuutzcanTZtGfn4+L730EgALFiygoKCAzz77rPExdXV1vPrqqy1WnQpl7ty5JCQktKp934oVK3C73dx+++1Bx+Pj44Nur66u5uWXXwYIWnVKiE6laj8sPfNI4hQEVqa9/Mum20SjGoeHP7+/tTFx6miFlQ6+2191/CclhBDHic/n543vDvLgyu2NiVMAnxeUcfnSbymtcUZxdp1YfVnTxKmjrXogEHuFEKKbKqpyMPupbxoTpwBqnF5+++aPfLr9UBRn1nm5vT5eWL23MXHqaDVOL6+uK8Tr80dhZkIIcXzU1Gxk8+ZbGhOnAGprN7F+/WwcjgMtPDOG1ZXAZw8GH1v/TKC6hhBCdFd1h2DFPNj630DiFIDXCV8+DKsfDySYiub2fN40ceownwdW3Q+u2uM/JyEEIMlT7eYrL6f6P/8JOlb38Sp8Fd24R2k7NKxZE3LMvXs3/oaG4zibyPGVlzdLnDqs4Ysv8JWXd8jr7tixA0VR6N+/f8jHbN++HYABAwYEHe/fv3/jYwYOHMjYsWNZsmRJ4/jy5ctRFIVZs2aFPT+1Wk1+fj579uw55mMLCgqw2WxkZGS0at/Z2dnExcURHx/Piy++yPTp01t8H4ToFDb/B9x1wcc+vg8cknj7c/UuL6t3hY6pH/woN8CFEN1XSa2Lf35cEHRs56F69lV0ze/OHa5iV+gxVw04Jd4KIbqvLcU1FFUHT659cOU2SiTxtplap7fFxLJPtpVS5/IexxkJIcTx43aXs2Pnn4OOeTyVVFV9e5xn1EU0VIAnxPmYogS/OS6EEN1FXTEUhogP3/xLFq0F4/fC1rdDj+/5QpKnhIgiSZ5qJ19NDfiar0g7zF0mKwuC0aaELtWo0utB0zU7SvprWw5o/toQyRLtpCjNK7G097Hz58/n1VdfpfanY1qyZAkzZszAarW2eY4qlSpijzvs888/Z926dSxbtoz8/Hwef/zxNs1PiOPG64K9wZMsASjeiM8tX45/Tq1WkWAJ3Vopwy491IUQ3ZfD46OqwRNyfEtRzXGcTRdijG95XGs4LtMQQoho2LCvKuRYYaUDR5DqSrFOr1WTaAldyTrJokevkUupQojuye93U1cXuhp6ZeXq4zibLkR3jOtR+rjjMw8hhIiGyj2hxzwOcFYdr5l0HWotWDNDj5uTQK05fvMRQjQhZ/ztpA7SIu1oDUYVDaFWHsQw86iRoA2eIGW/4AK0SYnHeUaRoT5GYpHa2jEnS3379kWlUrF1a+gT3Pz8fAC2bNkSdHzLli2NjwEaK0wtX76cgoICvvzyyza17APw+XwUFBSQm5t7zMfm5+dTXV1NUVFRq/adm5tLv379mDt3LldccQUXX3xxm+YoxHGj1kFyv9Dj9h7U+d3Hbz5dREqcgStOzgs5fv7w7OM4GyGEOL4MWjUGbehTN6tRR2W9xI5m7NlgSQ4+ljM2cEFKCCG6qbyU0Ncf4s06nB5Jnvo5q1HHVZN6hxxfODEPs6FrLvYTQohjUak0GI2hb+Zq1ZnUV1cdvwl1FeZkyDgx+JgtE6zpx3U6QghxXLX0GafWgN8X+BFNjZgbemz89RCXdvzmIoRoQpKn2kmTmIh5zJigY4Z+/Vjt3EK5o2NatXVl2tRUsv/5j2YJVIZBA0m++irUxp9WbLgdULkXSrdA1T7wdu6bQpqkJMwnnxx0zHzyyWiSOuYGTWJiIqeffjqPPvoo9fX1zcarqqo47bTTSExM5G9/+1uz8bfeeouCggJmz57duM1qtTJjxgyWLFnC0qVLyc/PZ8KECW2a3zPPPENlZSUXXnjhMR970UUXodfr+ctf/hJ0vKqqKuRzFy1axKZNm3jjjTfaNE8hjgu1GmX4paAKHoLLRi/gyYLXcHgdx3linZtareLcEzOZlJ/SZLtKBX+8YAiZR1We8paX49q1C9euXXjLyo73VIUQIuJSrAZmje4RdCzBrEOrVlEk7Zeas2bAL1eA4WcLHOzZcP5jYA4s2PD4fBRWNrC9pJZ9FQ04PNKSSQjR9Y3omYBZH3zF8qxROTz3zV4q6l3HeVad39BsO3PG9my2feGEXPqn2xr/XdXgZndZPQUltZSEaI8ohBBdicGQSq+e1wYdU6n0WHQjKdkVvJV4TLMkw4VPB849jma0w+xXGrf7/X6qq6spLS2loqICp1NihxCiG7BlQXzw61X0Oxt+fF1a9wUT3wPOCNIqt9/Z0P/sI/921ULF7sA98upCSUQT4jiQ5VLtpLXbSbz3d3gX34Z78+bG7fq8PPwP3MZDm+7in72GkUNOFGfZ+agNBizjx9P7vXdp+HYNnkOlWEaNQt+jB9qUn26M1xTBp3+BDc+Dzw16C4xdBKMXQlzotn/RpLXbybz3Xg7+9rc0fPFF43bzySeTed+9aO32DnvtRx99lJNOOonRo0dzzz33MHToULxeL//73/947LHH2LJlC0888QSzZs3iyiuv5LrrrsNms/HRRx9x2223cdFFFzFz5swm+1ywYAETJkxgy5Yt3HHHHa2aR0NDA8XFxXi9XgoLC3njjTd4+OGHueaaa5gyZcoxn5+Tk8PDDz/MddddR01NDZdddhm9evWisLCQZ599lri4uKAJYABms5mFCxdy9913c95554XV/k+I48kdl4brvH9h++/NcLg6oVpD7dhr+JgGPtj3AZcPvhyT1hTdiXYyqTYjf5t5AgcqHXxRUIbNrOPkPsmkWg1YDFoUrxfnli0U3XUXru2BC3r6Pn3IvP8+DAMHotaFbvsnhBCdmUGrYd5JvdhbVs8n24+0BU+1GvjjBUP443tbWTSlDwMzbC3sJQap1ZBxAlzzFRxYB2UFkDkc0gYELvABZXUuXli9jyc/3Um924dOo+KCYVnc9It+pEtLWCFEF5ZhN/L4nBHc+PJ3VB7V+vWsIen0TbNy64qNXDu5N7RcUD3mJFkM3HpaPpeO7cGn28tQqWBSfgppNiN2U+B8YmdpHXe+/j1r9lQCkBVv4p5zBzE2NwmLUS61CiG6rnjbBNKSZ1JStgJQANBo4ujd4498/dJ/Sc7KJW/YqOhOsjNK7gNXfAQlm6BoI6T0g8xhYMsGlYqGhga2bdvGhx9+SH19PSqVir59+3LWWWcRHx8f7dkLIUTb2TJhxrOwYi5U7T2yvcc4OPGXsOJyOPESICtaM+ycjHYYdgn0mQq7PgZXHfQ+pWkF9ap98P6dsO09UPyB6umn/BYGntu4GFAIEXlyRh8BJTY/m399HoNZhFJyCFVKEts1Zfxp012UO8sxauWiezBqgwF9Tg76nCCJZQ2V8M4tsO2dI9vc9fDZX8DrgCl3ga5zJhXoMtLJ+ttf8ZWX46+tQ22NQ5OU1KGJUwB5eXmsX7+e+++/n1tuuYWioiJSUlIYMWIEjz32GBCo6rRq1Sruv/9+JkyYgNPppG/fvtx1110sXry4WbLRySefTL9+/dixYweXXXZZq+bx1FNP8dRTT6HX60lKSmLEiBG88sornH/++a0+lmuvvZb8/Hz++te/cv755+NwOOjVqxfnnHMON998c4vPve6663jooYdYsWJFs2QwIToLtcHCa0oNY2YtJclRCz43DfYMXt7/MS9+/yiDkgahU0uiTzDJcQaS4wyckBPfbMxdWMjeOZeiuI6soHfv2MHeOZeS++abGPKO3TpUCCE6KxVwYo94Lhvfi+JqBzaTDpfHz/3vbGFXWT0pcfpoT7FzUmsCK/qCrIR0eX0s+3I3j6za2bjN41N4ZW0hJTUuHp51IglmeV+FEF2TVqOmvM7F76cPQq1SUev0kGE38c2ucm5/9XtsRh1qtSw4CiberCferKdfevOk5AOVDcx84mvKj2qXe6DKwYJn1vLq1eMY2UtuZAghui6/x0Dlljz6j3wWj+8gGo0ZT4ORz5e+Q9G2beSeGLwDhwDsWYGf/NObDe3cuZM333yz8d+KorB9+3bKy8uZO3cuNpssghFCdGFeJ0y8FYzx0FAWqLh3aCu8tiBQGEPukQdnsAZ+kvs0H6sthhcugkPbjmxrKIf/LgatAU6YHWjJIYSIOEmeioB4QzxPF77Kvpp9xOnjqKuow+sPtHroHd+bRKNcOAlbw6GmiVNH+/ZJGHUFJPQ6rlMKh9Zu7/BkqWAyMjJ45JFHeOSRR0I+ZsKECbz//vut3ufWrVtDjn3yySct/rs9pk6dytSpU0OOT548GUVRmm3PycnB4zmyqnbZsmVBn3/55Zdz+eWXt3eaQrSJTq1jVPZJXPzObMxaM1q1lhp3TeP4giELiDfGR2+CXZDf46HyxZeaJE4dpng8VDz7LGm//hVqvdwEF0J0TYkWPVuLavnHRwXYTToa3D5cXj8ANpOW3GQpHRKu0hoXT32+O+jYJ9sPcajWJclTQogubViPBE596FN0GhVGnYZqh4fDp9HzTupFapwhuhPsgr7aWd4kcepof3p/K/++bCTxEjuEEF2U2Z6ARm3h5V8/gDHOis/jweMKtJdTqdVSdaoNampq+PDDD4OOlZeXU15eLslTQoiuzZ4NL80KdNgwxIGz+kh7uQHTj1RSEq1Xsatp4tTRProH8iYHqn4JISJOHe0JdAfJpmT+PuXvJJoSqXJVNSZOpZpTeXjywySZkqI8wy6o+mDoMa8LHFXHbSpCCNERelh7cPuo23F4HU0Sp2bkz2BE6ogozqxr8tfX41i3NuS4Y/16/HV1x3FGQggRWVajjt+eM4C+aXFUNngaE6fiDFqenTeadHvnrMramdU6j7yPwRyodBzH2QghROSl2408fslwfH6FqoYjiVMT+ybzy9E90GjksmC4Pj2qfe7P/VBYjcPtO46zEUKIyNJoNAydegY9hw7DWVfbmDil1miZfvOviUuS+xzh8nq9VFdXhxw/cODAcZyNEEJ0AFsmzHktUBGpoeJI4lTqQDj9gUB1JRGeg9+FHqstCiSqCSE6hFSeipBcey4vnPUCu6p3satqF73je5NrzyXdkh7tqXVN5oSWx/Wysr6reuCBB3jggQeCjk2YMIH33nvvOM9IiOiwGWxc0PcCJmVPYm3JWjw+DyPTR5JsSsZuOP6V67o6tV6PNj0DftwcdFybkY7KKCWChRBdW1aCmefmj2FfRQM/HKgmO8HEgAwbGXYTGmm9FDaTvuXT4USLVA4RQnRtRp2GCfkpfHTLZDbsq6Ki3sXIXolk2I0kSdWpNumdEhdyLN1uRCsJaUKILi4uIZGzrruF2ooyDmzdjMlmJ6NPP+ISEtFKNe+waTQa9Ho9bnfwqoXx8fHHd0JCCBFpag1kDoNrvoLiH6BqP2SeAAm5YJV75G0S3yP0mM4EGonHQnQUSZ6KoHRLOumWdMZnjo/2VLq+uDRIzAuUJvy53IlS5rELu/rqq5k5c2bQMZNJKiaI2GLRWbDoLPSwtfBlWLSK2mwm6YoF1H30UdDxpCuuQGM2H+dZCSFE5KXajKTajIzsJa3B2yvJomdifgqfBakikp1gIt0mSbdCiK7PqNPQI9FMj0T5LhwJ556YyT8/LsCvNB+7dnIfUqySlCaE6PrM9njM9njScvtEeypdnsViYeTIkXz11VfNxnQ6HVlZWVGYlRBCRJhaE0j4aSnpR7RexgmgjwN3kE4aw+cG7qELITqEJE91Y06vkzJHGYV1hahRk2XNItmUjEHTBS7kWNPhl6/As+dBzVGla1MHwLmPgukYlalEp5WYmEhiotzsE6LTqj8EtSWB8q9xqWDNCPxvF2Do3ZvUO++g9MG/gu+n8sBqNSk3LcaQnx/dyQkhRDfl9voorXVxoNKB2+unR5KZ5DgDFkPnP9W0mXT88fzBLHx2LZuLahu3p9kMLL18FGl2SZ4SQoiOUNXgpqzOTWFlA/EmHel2E+ld5DM3I97E43NGcP1L3zVp/TprVA6nDuga501CCNHV+BWFYpeHgy4PNV4fPU16knVa7LrOf86h1WoZN24cpaWl7Nixo3G7wWDgkksuwWazRXF2QgjRjTlrA/c6KneD3gy27MC9Dk3njx3YsuCy/8DzF4Gz6sj2vClw0uJAi0QhRIfoAp8Qoi1qXDW8s/sdHlzzIB6/BwCjxsjd4+9mSvYULF2h7V1yPlzxIVTuhap9kNQH7NlglYxaIYToEFX7YcVcOLDuyLbUATDrZUjsFbVptZbGZiNh5kysp56Kc8sWUBSMAwagSUpCY+kCcU8IIboYh8fHVzvKuOGl76h3B5JWtWoVN57alzlje5LQBdreZSWYeWb+aIqqnOwsqyMz3kSPRDMZdqmIKoQQHaGkxsnv3tzEyh9LGrdl2I0svXwU/dKtqFSduw2tSadhcr8UPrx5EttLaqlzeRmcaSfZasBu0kV7ekII0e34FIXvaxu49PvdlHm8jdtnpSfy67wMUg2d/7PXarVywQUXUFtbS0lJCRaLhaSkJKxWKxqNJtrTE0KI7qf+EHz+MKx+DJSfFjwY4+Hi56HHmM7f9k6tgczhcPUXUL4jcDypAwOFR6QzkxAdSpKnuqmCqgIeWP1Ak21On5Nfff4rVkxbQf/E/lGaWZhsmYGfnuOiPRMhhOjeHJXw5qKmiVMApVtg+aUw53WIS4nO3MKgNpvRm83oc3KiPRUhhOj2DlQ2sPDZtU1aF3n9Cn/733YGZto4dUDXWPSQYjWSYjUyNCc+2lMRQohuze3188SnO5skTgEUVTu55N+refv6k8mM7/zJq3qthpxEMznSClEIITrcQaebizbspN7nb7L95eIKepsNXNsjFU0nT7wFMJvNmM1m0tK6xjmSEEJ0adtXwjePNt3mrILnL4BFqyExLyrTCotaA/E5gR8hxHGjjvYEROTVuet46vunQo4/t/k53D73cZyREEKITq++DHZ/Gnys+PvA6gYhhBDiJ4qisGJtYZPEqaP9/cMCKuvlnEMIIcQRpbVOXvx2X9Cx8no3O0rrjvOMhBBCdHbfVtc3S5w67LH9pZS4PMd5RkIIITq12hL47MHgYz43bHvv+M5HCNGlSOWpTqbcUR74cZaTYkohyZREgjEhrH24fC4K6wpDju+t2YvT60Tf2csSxhDF60VRFFQaDSq15DQKIVrP7fVRWuviYJUDvwJZ8SZSrAaMujDLfruPcaPi6N7aIvq8rsDvRKUFS1K0ZyOE6GoaKgJJsTVFYE6EuLSwW2N7fArbS0LHjgNVDlxeX3tnKiKo2uHB7fVhMWgx6+VSgBCi9Xx+hZIaJyU1ThxuH1kJJpLjDFgM4X2WOD1+nJ7gN8AB9lc0tHeqIoJ8Pj8VDW7UKhWJFn2nb6kohOhcXA31NFRXU1NWit5kJi4xkbiEpLA/S3Y0uEKOVXh8eJQQqzlEVLhcLtxuN3q9HoPBEO3pCCG6mpoiqCsBRxXYswMt6kzx4e3D74WqvaHHS7e0Z4Yi0hQlsLAfBUxJIO1sRZTJFdNO5EDtARZ/spitFVsbtw1LHcafJ/6ZDEtGq/dj1pkZmDiQvTXBg8OQ5CGYtd2jtHhxjZOiKgeltS56JJpJtRpIius6X8oVjwdffT2+sjIUnx+1NQ5tUhIqvVyUEkIcW73Ly6ptpdz+6vc0uAM3qA1aNXdPG8Q5QzOwmXSt35nRDir1kR7gP9dNemm7nU4aqquoOLAflUZNYkYW5vgEdPouEjv8vsDJ3zf/goL/BX5v466D3ElhJz4IIWJUzUF46wbY8b8j25L6wC9fCfxvK+m1akb1SmDVttKg4/3TrZi6SYLOoVoXJTVODlQ5yLAZSY83kmo1RntarVZR7+b7wioe+XgHxTVOhuXEc90pfemVZMYQbrK1ECLmeLx+vttfxVXPraWyIVDdQ6NWsXBCLgsn5IV1Dcas12A36ah2BK8Skp9ujcico+3wApfdZfW4vX56p8SRHKcnzhjG+VmUFVY2sGJtIW9tPIhWreKSMT04Y3A66fbO31ZRCBF99VVVfLXiBb7/6P3ATVHAEp/Aebf/jrTc3mEtHh5mC30fI9ugw9BNFiJXOispd5Szr3YfCcYEMiwZpJnTusw9AqfTyaFDh/j0008pKysjKSmJyZMnk5KSgtHYdc6dhBBRVLoFXpwJVUdVqh10AZzxR7Cmt34/WgOkDoSSH4OP9xjXvnl2EocXuOyvbKC6wUPeT+cc8eYuVDil5iBseRvWLglUBRsyA4bNgfge0Z6ZiGHd42p2N1DhqODmT25ukjgF8F3pd/zhqz/w54l/xm6wt2pfJq2JK4Zcwcq9K/H/7Ca4Tq3j4n4Xo9V0/V/9jtJa5i5Zw4EqR+O20b0S+b/ZJ5LRBS7mKF4vnqIifDU1jdt8FRX4q6rQ5+WhkpMKIcQx7Kto4PqXvuPoRXYur59fv/ED/dLjGNEzsfU7s6TC0Fmw8cXmY31PA3NK+yccZc66OjZ98j8+f3EZfl8g2Uyj1TJ14XX0HT0eg7kLJBaX74R/nwKu2iPbXl8IA6bB2Q9DXNf/PQkhOpC7Hj78Q9PEKYDyHfD8RTD/PbC2ftHG2UMzeGTVjsYE3qPdelo/7OEk8XZShZUNXPncOjYfPPKdvXeKhSWXj6JnkiWKM2udOqeHpV/u5p8f72jcVljp4L1Nxby4cAyjc6V6oRCiZQerHVz69Gpc3iPXl3x+hcc/3UXfVCsXjshu9b7SrAauP6UP973TfLV3XrKFHold4Pv4MTS4vXy2/RCLX9nQWGVLrYJFU/ow76ReJFo6/6KNwsoGLnrsa4prnI3bfv/2ZlasK+TpuaNIt8v1KiFEaH6/j82ff8z3HzZti1RfVcmKe3/NZQ8+gj2l9Yu/BseZSNfrKHY3T7y9My+DdEPXP+cobSjl91/9ns8PfN64LdmUzONTHyc/Ib/TJ1D5fD62b9/O66+/3ritqqqKnTt3csEFFzBo0CA0UklECNGS6kJ4djrU/WyB3o+vgy0TTv1dICmqNSzJMPUP8MJFzcdMCZA7of3zjTKvz8/3hdXMW7amycKUc0/M5K6zB3SNBX81B+GlWVC08ci2T/8M3z0H81dKApWImu6Rln+c+BU/FY4KKp2VKBEuB1vhrGBzxeagY18e/JJKZ2VY++th68Fjpz5GmvnIiUi2NZt/n/ZvsuKy2jXXzqC42sllT3/bJHEK4Ns9Fdz/zhbqnB3Q61xRIIK/d8XtbpI41bjd78dbUoLiC7/NSXFxMddffz15eXkYDAZycnKYNm0aH330UeNjvvrqK8466ywSEhIwGo0MGTKEhx56CN9Pr/faa6+h0Wg4cOBA0Nfo27cvN998MwCTJ09m8eLFjWOTJ09GpVKhUqkwGAxkZWUxbdq0JidOraFSqfjPf/7TbPvll1/OeeedF9Yxz5o1izPOOKPJc95//31UKhW///3vm2z//e9/T48exw7Ie/bsQaVSBX2fioqK0Gq1qFQq9uzZ0+TxGzZsCPrvn1u2bFnj+6jRaEhISGDMmDHcc889VFdXH3N+onNpcHkpq3VR74rs55Lb6+fpL3aF/Fj658c7qAvnNQ1xMPVuGH45qH9KsFWpYdCFMO3/wBxeC9nO6NDeXXz63NONiVMAPq+XlY/9narigxF/PUVR8HlDtyUJm6sWPry7aeLUYVvebroqRwjRtdWXQ90haMP3wRbVlcKmFcHHKndDdfDvf6FkJ5h55cpx9E45kkSUHKfn8TnDu0X1kMp6N7cs39gkcQpg56F6rnpuHWW1oVuItJXX78fnj1zsKKtz88iqHc22e/0Kd772A4c64BiEEMef0+PjUK2LmhAVndrj462lTRKnjvZ/HxVQWusMOhaMRqPm/GFZ3PSLfExHVb4b3zuJZ+aPJs3WBS7yH8OBSgfXvrC+SXtCvxI4P1u7J7xre63ljuA5h9fn55U1+5skTh3248Ea1u6tiNhrCSGiy9fgwVfrRolwq+36ykrWvPlq0DG3w0HR9m1h7S/TqOf1Yb0ZflQFqjiNmnv7ZHFqkq1dc+0MXF4XT33/VJPEKYAyRxlXfHAFxQ3FEX9Nv9/feC8gEmpra3nnnXeCjr3zzjvU1ga5jiWE6Hp8nsC1qoYO+D5YVtA8ceqwtUtCj4WSPQrO/VcgWeqwtMEw7z2w57R9np1EUbWTS/69ullF3zc3HGT5mv34fBG8J3GY1x3Re+TsX900ceqwmoOw/lnweSP3WkKEoeuXHzpOiuuLeW/3e7y18y3UKjUX9b2IU3qcgt1gp9Zdi16tx25sXWWoYGrczZNojlbnqQtrf0atkXGZ43jxrBepclehQkW8IZ6UblA5BOBglYOD1cEv0L37QxG3nd4vcuXQfe7AKn1HJag0gaxljQFaqN7lrPfgqHXjdnjRm7SYrHqMlqbzCZY41ThWW4vW50MVxoqMPXv2cNJJJxEfH8+DDz7IkCFD8Hg8rFy5kkWLFrF161beeOMNZs6cybx581i1ahXx8fF8+OGH3H777Xz99dcsX76c6dOnk5SUxDPPPMOvf/3rJq/x2WefsWPHDhYsWBByHgsXLuSee+7B6/VSWFjIG2+8waxZs7j88st58sknW308kTrmKVOmcOutt+L1etFqA7+zVatWkZOTwyeffNJkf6tWrWLKlCmtfv2srCyeffZZfvWrXzVue+aZZ8jKymLfvvYlMdhsNrZt24aiKFRVVfHVV1/xxz/+kaVLl/Lll1+SmZnZrv2Ljtfg8rK7rJ5HVu1ga3EtuckWrj+lD33T4ojz1QY+W4x20LWtUp7T42PXofqQ43vLG3C4/YTVydSaDmc8ACcvDiToGOICFakMcW2aY2ficjTwzRvLQ46ve+dNTrvqerT69pe19bh91FY42fpVEZVF9WT0iaf38FSsSUbU6nasFnRWw/b3Q49veQuyR7R9/0KI6KsthoIPYc2T4HHA4AvhxF/ijsui2uFFraJ9Lao9DYH2n6HUhJdIqlGrGJJt5+Urx1HZ4MbnV0gw60i1tvPzrpOoqHezenfwi4Jbi2spr3eRbI1MBZFDtU62FNXy8pp9qIDZo3vSLz2OlHauFtx0sDrkta1dZfVUOzykROgYhBDHn9vrY3+Fg6c+38Xq3RWkWA0smtyboTl2NCo1To8Pi0GLxdD2y39bikJfu9hf2YDPF94F9KQ4A9dMyuPCYVnUOD0YdRoSLV2svUQIfr/Cy2v24Q/xlvzj4wJG9kok0dL+Y/X6/ByocvDu90Ws3VdJv7RAFbCseBPGdrRkrWzw8OaG0N8HXlmzn1P7p2HSSwURIboqX60b974aaj8txN/gxdA3gbiTMlEn6HE4AguVzWYz6ja2w/N5vThqQ8eO8gPhXzPNMxt5fmgeFW4vTr+feJ2WNL0WXTdo2VfmLOONHW8EHatyVbGrahcZltZXB25JfX095eXlrF27FrfbzdChQ8nOzsZma18SWn19PS5X8EUZLpeL+vp64uPj2/UaQogoUhSo2gtrl8K2d0BvhXGLIHci6Mzgrgvc42jHPXIqdoce8zSA1xF6PBhTfKDLRt6kwL1djR7MSYH7u93A2r0VODzBr+899fluLhyRHbkOTVX7YMdHULASbNkw4vJAVShjO2KHpwHWPxd6/IcVMGohWFtfqVKISJHkqVYoqi9iwcoF7K/d37ht5d6V9I7vzZs732Rt8VqSTEnMHzyf4WnDSTSG0SbpJ/HG+JBjapUamz78DyGVSkWqJZVUS2rYz+3sSltYIe1XwBGkdUibeN1QsQO8R72eowIsKRCXHjSBqq7CycfPbWX/liM3WnIGJHLKpf2JSzzq5kdL5XbbUIr32muvRaVS8e2332KxHFn9P2jQIObPn099fT0LFy5k+vTpTZKYrrjiCtLS0pg+fTrLly/n4osv5tJLL2XZsmXNkqeWLFnCmDFjGDRoUMh5mM1m0tMD/Yezs7MZO3Ys/fv3Z/78+cycOZOpU6eGfWxtPWaAKVOmUFdXx9q1axk7diwAn3zyCXfeeSe33HILTqcTo9GI0+lk9erVzJs3r9WvP3fuXJYuXdokeWrp0qXMnTuXe++9t13HplKpGt/HjIwMBgwYwLRp0xg0aBC33347zz//fLv2LzqWz6/w5Y4yrnx+XeMNy73l9Zyfr2dA5S5Y/Q9oKIPcSXDSjRDfC7ThJXya9GqGZttZv68q6PigTBuWtlzQ1lsgMTf853VyXpeL2rLQK1SqS4vwetztTp7yef0c2FrJu4//gPLTXZM9P5Sz9t09nH/LMFJ6tHNVpFoDoVaOaLr+DSchYlptMbw6D/Z+1bhJ+eFV9uecy3NfbOX9zSVY9FouP6kXp/RLJbUt1Tn0caA1gjdElZCEnm2aeorV0C0TcOrdLa9y+/kKv7YqrXFyy/KNfL6jrHHbOz8UM7lfCn+5aGi7yq1rj5HE1sk7gAghjmFLUS0zn/i6sTLU7rJ6hveIx+X1s+TL3RRWOhiUaeOGU/qSm2LBrA//MuDIXoksX1sYdCw/1YpOG/6Na71WQ3Y3aNH3cx6/n50tLHA5WOWMWJWozUU1XPzEN403TT7aUsqTn+3i6bkjOalPMlpNWxMKlBZjh1atltghRBfmq/dQ/f4eGtaVNG7zO734+pvYsnkHGzYGKkAMGzaMIUOGYLeHfyNcq9dhTUqmtrws6HhaXp82zT1RpyVR1/1uZ7l9bly+0Pc6DtSFVx04lPr6elatWsXatWsbt23dupXU1FQuueSSNv2uDztWW8HO3nZQCHEMFbvg36cGkpAO2/YumBPh26egZBMk9IJJdwSqO5niw3+N1P6hx4zxgSStcGk0YM8O/HQzLS2qr3Z48IS5wCWk8p2w9Iymlb/WPAVnPwxDZ7Zj0b26xQIlqLVywUpETddPze9gfsXP+7vfb5I4lWZOY+6guVzz4TW8tfMtDtYf5IeyH7jpk5t49LtHqXaF31YryZDESZknBR07O/dskoxJbT6GYBS/Ql2lk6qSBmornPgiXJ63o/Vo4SKbSachrh2rKhsp/kBygzfIyUv9oUDVmJ9x1nuaJU4B7N9SwcfPbcVZf+QGi8YW+oREY7ej0rb+GCoqKnj//fdZtGhRkySiw+Lj4/nggw8oLy/n1ltvbTY+bdo08vPzeemllwBYsGABBQUFfPbZZ42Pqaur49VXX22x6lQoc+fOJSEhIez2fS1pzTED5Ofnk5mZyapVq4BAGeH169czY8YMevXqxddffw0E2hm6XK6wKk9Nnz6dyspKvvjiCwC++OILKisrmTZtWjuPLrjDJ7NvvfVWREsri8grqXFyx+s/NKn08Osp6Zx68AmMb1wOB9cHMva/ew4ePxkObQn7NXQaDZeO7YVO0/xLpFoFi6b0wRyJz8KjuB0NVJUUU1l0kPrqqojuu6PpTWbSeueHHM/oNxCdsf1tQhqqXXzw9I+NiVOHeVw+Ply6hYaadrRHMiUG2iiGMnB62/cthIi+ou+bJE6hNbL3jGVMf2E/T32xh/0VDrYW13Lnaz9w0ysbOBRGm6RGcWkw6orgYxkngjUyK5qPVlLjZHdZHfsrGnB4ulbJbbtJh6aFG8jJ7akCdpSvd5U3SZw67JNth1i/t30tngZm2EPeBB+cZSPBHKFqvUKI466i3sWv3/ihSUu9c4ZmoNequfK5dXyzq4LCSgcrfyzhnEe+YPWuCpQ2tFkY3zsJmyn4ecUdZ/SL2GfhYQ63l8LKBnaX1VESouJ4Z2XQahibG/r63aBMGxZD+ys2ldY6ueGl75qtNvf6Fa5/6TtK2tGSNcliYNbo0K1MLhvfs12VrYQQ0eWrdjVJnALQXZDDiytf5aOPP6a8vJzy8nI+/PBDnn32Waqrw7/PEZeQxEkXXxp0zBKfQFpu7zbNvSVlbg+7G5zsdbio7WL3OYxaI3ZD6PsEfRP6RuR1KioqmiROHVZaWsp3333XrmvNFosl6PX5Y40JIboAdwN88uemiVNZI6D3FHj+gkASVdU+2P0ZLDsbvn8lUEk9XAm5kJgXfOzkmyEuwterfB6o2g/lO6C6sOUq7Z3QsB7xIceyE0wY27DApRlnDbx/Z/CWie/eAvVhtlI8ms4Y+vokwPDLwdw9qoSJrkeSp46hylXF2zvfbrJtRv4Mnvz+Sdz+5skzy7cvp8wRfFVFS+xGO38Y/wd+0fMXqAhc3NaoNJzb+1xuGnETFn3kvmA6at1s+vwAyx9Ywwt3f8NLf1jN6rd3U1/djhu6x1mazcCInglBxxacnEuqLQIX7/zeQPJUKA3lzTY5at3NEqcO27+lAkftkb8ZlU6LNqn5RTWVVos2NRVVGGWHd+zYgaIo9O8fOjt7+/btAAwYMCDoeP/+/RsfM3DgQMaOHcuSJUsax5cvX46iKMyaNavV8zpMrVaTn5/Pnj17Wv2c2bNnExcX1+TnhRdeaBxvzTEfNmXKlMYWfZ9//jn5+fmkpKQwceLExu2ffPIJubm59OzZ+ooLOp2OOXPmNL5PS5YsYc6cOeh0HXcTqn///tTW1lJe3vzvT3QeFfVuKuqP/Peu16g5vYeCedMLzR/sdcK7t7apV3hOoonnF4whK/5ICdYUq4Gn546iZ1JkV3JXlRTx3qMPseTGK1my+EpW3HsX+zf/gCdEWe7ORmcwMPrci4J+tmp1ek449XQ0La12aKWaciceV/CTrYqiepx17Ugc0Jthyq8C7RV/bsw1YMtq+76FENHl88D6Z5pscgy8mH+traeqoXl1oy93llNQEl5bbyBwceKkG2H01aA56vtK71Ph4uchLnIVa2sdHj74sZgLH/uKKX/9lFP+9gm/+8+PHKxqw0W0KEmOMzBjRPAViqcNSiMprv0V/6ob3Dzz1Z6Q40u/3EOts+0VrpKteu49d3Cz7Ra9hj9fOJRES/erGCZErKh2ePnxYNO2SOcPy+KxT3Y2e6yiwJ2vf09JGxL5s+JNLL9qHPlpR1YV24xa/njBEEb0Cr/yekuKqh384e3NnPLXT5ny10+54LGvePeHIqodza+/dVZnDc0IuqBPpYJbT+uH1dj+6wUV9W72lDcEHatxeimubnusVatVTDshk/7p1mZjk/ulMDiznZV0hRBR5dzW9NqTroeVguLdVFQ0vyZVXl7Otm3b2vQ6ucNGMnHOfHSGI4vUUnN7M/PuP2JNSmnTPoNx+nx8W1XHjA07Gbd6K2O/2cK1m/eyq6HrJN+mmlK5eujVQcd6x/cmO679FVMURWHdunUhx9etW0dDQ/C40hpWq5ULLrigWatHtVrN+eefj9XaPKYIIboIRyVs+U/TbaMXwkf3QLCFGR/8JniyzbHYMuDSN6DHuCPbtEaYeBuc+MtAFalIqS2BT/8Mj42Df46AJyYGKmjVh39vP1oGpNvItAdfCH7nGf3bVq3+5xwVsON/wccUP+z9un37zzgB+p7efHvqQBh8AXSD1ryia+p+dU47wM/LiubF5/HIhkdCPv7b4m/pHR/+Coo0Sxr3jL+HG4ffSL2nHqvOSqIpEYsucolTPq+PzV8W8c1/jlxM87h8fLdyHzWHHEy+pD9GS+dffZwUZ+Cfs4dx7383s/LHYvwKGHVqrjg5l8vH90KvjUAgVQge/BvHm98cdztavil+9LhKq0WbkoLaZsNXXo7i86Gx2VBbrajDbBsVzurR1j52/vz53HTTTfzzn//EarWyZMkSZsyY0eaTHUVRwirR+/DDDzdr8XfHHXc0roIJ55gnT57M4sWL8Xg8fPLJJ0yePBmASZMm8cQTTwCB5Klwqk4dNn/+fMaPH88DDzzAihUr+Prrr/F6O66qwuHjlnLHndvPfz190+KwHPgi9BP2rwZndaDUbRj0Wg1j8pJ47drxVNa7URRIsOhItxkj+jdSU3aIV35/J3UVR5L2yvfvZcU9d/HL+/9Geu/IrILraAnpmVx0172sfPwf1BwKrLRMzMzm9GsWY0uJTP9sn6flNhx+fztL5ib0ggX/C6zq2fI2GBNg3LWQ3C/svx8hRGeiCpSkPkpVrzN4982qkM94dV0h4/u0YRVWXCr84m4Yew04qwKt/CzJbSur3oJvdldw5XNHLtB7fAor1hXy48Fqls0bHZkLOR3MYtBy8y/yMWjVvPTtftw+P1q1ivOGZXHraf2wm9qfPOVTFJwtxA6nx4evHbHDrNdyzgkZDMm2s/SnFl5j85K4YHgW2Qndr2WWELHk59/2LXoNVQ2hWzSU1LiobHCTHuIie8jXUanon27jxYVjqah34/b6SbDoSbMa2tEarrlDtU6ufm4dGwuPVDk5UOXg2hfW869LhnPWkMhXR+wI2fEmXrlqLLcs38jW4loA0m1G7jt/MH1T29rWoqljxYX2tgbMsJtYOm8Uq3dVsHztfvQaNZeN68ngbDsp7WglK4ToBH52rUjV28IPBatDPnzjxo0MHjwYszm8741mm53hZ0yj39iTcdTVotXpMdlsmFvoxNAWOxpcnL9hB4dDnwL8r7yGjbUNvDsin2xj+7+vdzSNWsNZeWfh8rl46oenqPfUo0LFyVkn85uxvyHF3P5kM0VRcLtDJyJ7PJ42Vac8TK1W06NHD6655hrWrFlDSUkJaWlpjBo1ivj4+GZJVUKILkQFqH52v1VnDp0g5XMHKlEltL5IQaOEXjDrxUBRC48j0K7PmhZIoooURzV88Fv44ZUj2xrK4f07AtfITroJdJ1/kVlGvIkXF47ljtc2snp3oCqY3aTj9tP7cXLfCFVs8vtavkfubsOizqPFpcH0f0LRBvj2ycDC0mFzoNfJYMts376FaAdJnjqGBEMCd425izJHGQ6vg//u+m9jZahQdOq2Jx/F6eOI00fmYkow9dVu1r23J+jYzvWHGDM9L6zkKUVROFDl4NvdFfxwoJpBmXbG5CaSFW9C3UKLi0jIjDfx4Iyh3HlmfxxuHxaDljSbEX0kyhECqDVgsIMzRKsMU/Ob1PoQpexDjau0WjRaLWqTKRCE1Oo2JTz07dsXlUrF1q1bQz4mPz/QrmrLli2MHz++2fiWLVsYOHBg479nzZrFTTfdxPLly5k4cSJffvklf/zjH8OeG4DP56OgoIBRo0a1+jnp6en06dOnyTar1UpVVRXQumM+bMqUKdTX17NmzRpWrVrFbbfdBgSSp+bPn09FRQWrV6/mqquuav1B/WTIkCH079+f2bNnM2DAAAYPHsyGDRvC3k9rbdmyBZvNRlKQqmWi80ixqnni8t4o+NlW5ObbHU4UdQsXbFSqdvVwTrcZSe/Am9AHtm1ukjh1mKL4+fyFZUy75VcYLa2PXc66WmrLyyhY/RUej5u+o8ZhT0vHYo+P4Kyb0+r19Bh8ArPveRBnfS0qlQpjnBVLfPBKhm1hTzWhUquate0DMNv0GC0R+OoV3wNGXwUnXgJqXaCSjBCia9NoqZjwBxoGXona7yR583OoFD/aFirites7r84Mib3a/vxjKK1xct87m4OObS6qZU95Q9jJU0VVDjYdqObrXeX0TLIwuV8KGXZjZBZNtCDVZuTOM/tzxYQ86l1ezHotyXH6iLXGjTfpmXZCJpuLaoKOnzssC7upfYtbrEYdg7Ps/PGCobi8Psx6bYvtCIUQXUO8WcdTl43A4wtcl3l9/YFj/retbsc5R3KcIeIt+o62v9LRJHHqaPe/s4URPRNICyN21Du9FNc6+eDHEsrrXEzul0LfNGtY+2gLtVrFoEw7z18xhqoGNz4/2E2B61WRWuCSYNaTYNZRGaQ6pU6jikhybIbdxHnDsvjFwDTUahUmadUnRLdgONGMNSsFFPBs8uAHNC1U81C38Vo1gEanw5aSii0lctVtj1br9fHHXUUEyxkudXv5orKWWRnhXT91uUqpr99JWfnH6HWJpKSchsGQhlbbcfdrABKNiVw28DLOzD2TOncdBq2BREMiVkNkKjap1WpOOOEENm8Ofo7Wv39/jMb2xUedTkdKSgqnn346Xq8XrVbb4t+WEKKLMCUFKpW76wJJRuufA9Uxrkep23G9xJzYsQuE6w81TZw62pd/hxNmh5X45fb6KKp28un2Q+wpq2d0bhJDs+1kHtUppKP0SrbwxKUjGxe42Ew60qwGNJFa4GK0Q/oQKP4hxAQmtP81rGlgPR1yJwaStQwdG2+FaA1JnmpBtauab4u/5eF1D7O/dj/xhngu7HshCYYExmWM4+ui4CXpRqW3PkHkeHM3eEO2EwKoKXOQkN76SldbimqZ9eTX1DiPVNqJM2h5+cqxDM6K7EqSYOIMOuIMHVQpS60JtEZyVQdKEB5NZwZd8+BnsurJGZAYtHVfzoBETNbgyRPhtOgLJjExkdNPP51HH32UG264oVkf8aqqKk477TQSExP529/+1ix56q233qKgoIB77723cZvVamXGjBksWbKEnTt3kp+fz4QJbQuGzzzzDJWVlVx44YVten4wrTnm+Ph4AHr37k1OTg5vvfUWGzZsYNKkSQBkZWWRlZXF3/72N9xud5sqT0Gg+tS1117LY4891q5jOpbS0lJefPFFzjvvPFmx04kV1RXx703/5s2db+LyuRiafALzTl2MQ3sKfBriSX2mBk3I7Cx2rf025NjB7VvwOJ2tTp5y1Naw5q3XWfPWq43b1r71GnnDR/OLK68jLqHj34e4xETiEjvmdcxWPSPP6sma/+5pNjZxdj4We4RuOKlUEKGLaEKI6Gpwe9l0oJo/vL2fHw/WYNZrmH3iIhYkWZl9Yj2PfVUc9HkzR+Uc55m2nsPjY2+IdkIAa/dUMDq39Z/De8vr+eVTqzlwVMs/nUbF03NHMrZ3EvoOvihv0mvJSeyYU2e1WsX0EzJ49us9FFU3bS+SnWDi9EHpEbvZrteqI7fQRAgRVSU1Tp7/Zi/PfLWHGqeXvqlxXD2pN9kJJkw6DQ5P8+s+vZLMJHTiSuMb9lWFHDtQ5aDe1foKz/UuL+9sKuL2V79v3PbvL3YzMMPK03NHkXEcbmZ0ZLJZms3IPecO5vqXvms2dtPU/Ii0lT3MEqFkYSFEdPn9HuobdrB9131UVX2DSqUjtc9Z9Ey+hjGJoygsLAz6vNGjR2MydfxnZlvUen18W10fcvyDshpmpCW2etGA01nM999fRW3dpsZtO3f9lX797iU9bXqHJ1DpNDoy4zqu0kZmZiYZGRkUFRU12W40GpkwYQL6MDthhKLRaCRpSojuov4Q/Pgf+OxBqCsBe3agirk5CeJ7QtXe5s/RxwUe11nVBI93QKDalbMKaF3ylMfrZ82eSuYtXYPbF7iHvOTLPaTbjLx85Vh6JUeuq1Qo8WY98eYOqrJoSYazH4KlZ4L/Z+diQy4O3D+PlCD324WIlpi8clrhqGBn1U42l2/mQN0BXD5Xs8f4/D4+2vcRN39yM/tr9wNQ5ari6U1P89LWl7hz9J3Y9LZmz1s8fDFJxrZVhKlzeTlQ5eBglYOGMC4KhUOjb/lXbjC3/kJaaY2Ta15Y1yRxCgLHcdVz6yip6Tq9xUPSGiClXyCpQa0BjT5QLjAxFzTN3yujRccpl/YnZ0DTm0E5AxI55bKObYn46KOP4vP5GD16NK+99hoFBQVs2bKFf/zjH4wbNw6LxcITTzzBm2++yZVXXsn333/Pnj17ePrpp7n88su56KKLmDlzZpN9LliwgK+++orHH3+c+fPnt2oeDQ0NFBcXU1hYyDfffMMdd9zB1VdfzTXXXNPm5KS2HvPRpkyZwr/+9S/69OlDWtqR9lyTJk3in//8J/n5+WRmtu0EdeHChRw6dIgrrrgirOdt27aNDRs2NPnxeAIrRxVFobi4mKKiIrZs2cKSJUsYP348drudP/3pT22ap2g7j8/HgcoGNh2oZltxLYdqm8cNgJL6Eq768CqWb1/eGFu+L9vIrV9cQanOje8X9zd/kjkRTn8AjM1jSmvUVVZQc6iUusqKdpXYbok9NXRLO5PdHlYCaEXRgSaJU4ftWv8tezauC/KMrkVn1DJkcjZnXj2E5Jw4DGYtWfnxXHDbcHIGJKKSSh9CxA5HJZQVwMENULEb3MEv7P9QWM3FT37DjwcDlYca3D6e/raUa94uZfa4PuQkNr+AcNHwbHomta2qhMPt5eBP5xw1juYVKyJBq1Fj1IWODeG0jKpxeLj7zR+bJE5BoA3glc+to7QmeEzuSrISzKy4ehxXTswjxWog1Wrgmkm9eeXKsWQdhxv8QojOwe9XKKpy8OPBajYX1VBc7Qj6/b68zsXtK77nnx/vaLweU1Baxy0rNlJY6eCxOcObFbU1aNU8NPNEUtvYcq28zsWBygaKqx34fO1rCRdKui10opFeE17yZ0mNkzte+77Z9s1FtTz1+S7c3tCLCrsCjVrF5H4prLhqHKNzE7CbdAzOsvH03JHMHtMDs14SnoSIFbVeH7sbXHxf08CuBic13uD3FByOvaxdeyFVVd8AoCgeSsreZOPueeT2SyA7u/mN7h49etCzZxvaLhHoQlBTU0NVVRUNDaEXVbSHVqUiuYXPu2yjrtWJU36/h/2FzzZJnDps27bf4nKVtHmenYXVamX27NlMnToVu92O2Wxm2LBhLFy4kISEyFVkF0J0AbXFULwJijZCdSH4gnw3dtXBF3+Hd28NJE5B4LEr74Jdn8DM5wL3T4+mUsF5jwWqCbVBdYObA5UNFFU7Ou77uvEYRT+0rb8GU1LrZOGzaxsTpw4rrnHy6zd+oNoRul1ql5E+FK78FPqdBaYESM6Hc/8Fp9/XsRXChIiimDub3lW1i9s+u43tldsBMGlNXDn0ykBFKeORL4mHHId4aN1DQfexcu9KFg1bxPJzlrNyz0o+P/A5qeZULhlwCb1svcJuu+f3K+wuq+fP72/lwy0lqFUqzh6awc2/yKdnUmQzU01xejL7xnOwoKrZmNmmJy6h9aviyuvdIVeUH6hyUF7n6vBy6B1OpQr007XngJIBqAIlJ1tY/R2XaOS0KwbhqHXjdnjRm7SYrPoOTZwCyMvLY/369dx///3ccsstFBUVkZKSwogRIxorIl100UWsWrWK+++/nwkTJuB0Ounbty933XUXixcvbraq/eSTT6Zfv37s2LGDyy67rFXzeOqpp3jqqafQ6/UkJSUxYsQIXnnlFc4///yoHPNhU6ZM4dlnn2Xy5MlNtk+aNImlS5fyy1/+ss3z0Gq1JCeH30d41qxZzbbt3x9I1qypqSEjIwOVSoXNZqNfv37MnTuXG2+8EZutbUk2om2qGtz89/si/vTeVup+SmztnWLhn7OH0z/d2qRF6dbKreyu3t1sHz7Fx7++/wcPnfwAtp5j4OvHoL4E+p4Gg84PtGELk6O2hj0b1/PFy89Rc6gEa1Iy4y6cTe9RYzHbIlv5b8CEyax+c0XQHtejpl3Q6rZ3Pq+XDe/9N+T42v/+h7xhozB3cPu+jmaK05N3YgoZfez4PH50Bk1YyclCiG6gah+8uQh2fxb4t1oLwy+HSbc3uYhUXufiD29vDvbxysYDtRTX+Vh+1Tg+3X6INzccxKLXMO+kXPqnW0myhF/NorCigX98XMB/vjuIx+9nUt8UfnXWAHqnWNBGqqw3kBJnYObIHJ79uvkqRL1Gzcherb/AUtHg5tOCQ0HHnB4/W4trI9KeKNqyE8zcdno+C07KBRUkWvToIvg7EUJ0bg1uL1/tLOfO176nrC5wkT3dZuShmScwsldCkxalxTXOkJ+Lf/1gG8uvHMd7N07g2a/2sPNQPcN7JHDxqJw2JWPWOj1s3F/Ffe9sYWtxLfFmHQtOyuXiUTlht189liHZ8Rh1apye5slZFwzPCquK04dbSoLGVoCXvt3Pwgl5x6X6VEeyGnWMyk3kqUtH4vD40Gs1JFo6aNW5EKJTKnZ5uHfHAd4orcIPqIDTkmz8MT+bTOORzwOvt4Hdex7F72++6MDlKqKm7ltmz57N3r17WbcusKht5MiRZGdnY7WGX/G6pqaG1atXs3btWlwuF1lZWZxxxhmkpaVFrLoRQKpBx6Ieqdy6LXgVkdlhtOxzu8s5cOCFkOOlh94n17Io7Dl2NjabjfHjx3PCCSegKAomkwmdTq5XCREzfF4o+g5eXXCkapQpAc58EPJPb7q4u/4QrA7RaeWrf8CJv4Rrvgq08StcA8n9YPTCQMs7TXif9S6Pj+0lddz3zo+s3l2JSadh1ugcFk7Ii3z7u7j0QGWs6iCxI3tUoNpSK+08VEeDO3iS11c7y6mo92A3dfHv5zojpA+GC54EV23g+mZcx7TjFaKzUCkdVabiOKipqcFut1NdXd2qZIKiuiJmvzObcmd5s7F7xt/DeX3Oa0weKags4IK3Lgi5r79P/jun9jwVv+LH4XWgU+vQhxkQDttbXs85//iC2p9Vm0qJM/DGovERvxlQfcjBW/+3gZqyI6u3DWYt5940jOTsuFa3hdi4v4pzH/0y5Pjr145neI+us2rB6XSye/ducnNz293jW4hoaOlvONzPy+4s3Pfiwy0lXPHM2mbbbUYt794wgezEI5/Rv//q97xW8FrQ/ahValZeuJJ0Szp4XeDzBFqAtqEFo9fjZv27b/H5i8uajY069yLGXnAxemPkTizcTgcFq79i5WP/h3JUG9M+o8cxdcG1rU6e8rhcvPnX+9j7ffP2EgBxiUlccv/DHdZSTwgRHokdAWG/D3Wl8PxFULyx+djYa+HUuwMXH4D9FQ1M+MuqkLu68dQ+3PSLfkCgBZFGrcKoa1sLhINVDmY8/nWzCk5GnZp3bphA75TItqEornZy7QvrWH9UGyaDVs2/545kTG5ik0SAlhSU1PKLhz8LOf7XGSdw0YhOXBJeiBgiceOIcN+LHw9Wc84/v2iW8KNVq3h/8UT6pB75jH5p9T5+9cYPIff10S2T6J0Sh8fnw+X1Y9Jq0LQxGfN/m0tY+Gzzc6FT+6fy4IyhJLYhkTcUj9fP2r0VXL50DS7vkXOOoVk2nrh0ZFjJTn96bwuPf7or5PgXd0zpFom3QnQHEjsCwn0f6rw+btu2nzdKq5qNTUyI44lBvUjQBdbNO50lfLtmGh5P83siAElJUxg65F+o1Xrc7kACb1uTnGpra3n55Zc5cOBAk+0qlYp58+bRo0f4iwdbUury8NsdB3jzqPdBDTzYL5vpqQlYW3nO4XQe5MuvJoQcz866jH797m7nbIUQkSKxIyDs96FiNzw2LtCe7ufmvQ89j+rmsu9rWHJG6H0tXAVZwwNVq7wNgSIUQbr1tMamA9Wc9+iXeP1NT4by0+J4bsGYyBfpKN4Ez06Dhooj2+J7wGVvQmJeq3fz9saDQdtoH7Zy8UT6pYefhCyEiLxwPi9jqvLU1oqtQROnAB7d8CgnZZ1EqjmQMalTt/whf7hln1qlxqJre3Uot9fHs1/vaZY4BXCozsX7m4qZf1Juk8om7WVPMXH+rcOoKnFQVliLPcVEcraVuARDqxOnILAa2qBVN7modZhOowprVWC0+RU/bm83KKEohIiosjoXf3l/a9CxGqeXL3eWcXHikQs/yabQKxNsehvqw91ytYbmZW3DUF9ZydevvhR0bN1/32DoqWdENHlKbzSRP/YksvoN5MDWzbgc9WQPGExcYjLmME5QdQYD+WNOCpk8lXviCIxxHd8LPFI8fg8qVGjVMfV1SghxLLUHgydOAax9GsZcBQm9AFCrVSG/TwMkH9VeyWJo32fNlzvKmiVOQaB6079W7eC+8wdj0kXu8yzdbuTJS0eyv7KB7/ZVkWI1cGJOPGk2Q6sTpwBsRh3pNiPFIVqCD8mKbLXFjqQoCm6vH71WHdZ5lxCie2tweXl01Y6glZK8foVnv97Db88ZgE4T+OxMaKG6kFpFY9U6nUbT+Jy2KKl28vu3fgw69tHWUkpqXBFNntJp1YzsmciHN0/i+8IqSmpcnJgTT06iiZQw2w1Ozk8NmTw1rEd8u2Pq8eT1+fErhNW2UAjR/R1ye5skDB3ts8o6ytzexuQptVqDTmcPmTyl1ycBmp/+f/sqZFRUVDRLnILA9+D33nuPOXPmYLFE7rpPqkHHH/OzubFnGl9X1WHRqBlrjyNVr8UcxjmHRmMh3j6aqupvg46npEyN1JSPC6/Hj1qjiug9JSFEN/DDiuCJUwCr7oOLXwBTfODfumMsNND9dO9BowFN2xOEqh0eHnh3S7PEKYDtJXVsLaqJfPJU2iC48jMo3QzlOyBtMCT3BVtmWLvp30JiVIrVgM3Udc458PlA8bbrnpUQ3UUX+i+3/TaXbw45VtJQgtt3JHkmwZjAiLQRrCtZ1+yxVp2VbGtkVjdXOzx8vDV4uXWA9zcVc/GoHKzGyJZPjYs3EhdvJLtf2ytDpVgNXH9KH/76wfZmY9dM6kNKXOcvR9jgaeBg3UFWbF9BTX0NFyRfgNvnxqCEl0gmWu+BBx7ggQceCDo2YcIE3nvvveM8o+auvvpqnn/++aBjc+bM4fHHHz/OMxLR4vH6KSitCzm+bm8lF486kjx1Zu6ZPPH9E0Efe0n/S0gytb5keEsctTV43c3LrQP4fT7qqyqIT0uPyGsdpjMYiU/PID49o1376XXiCKxJydSWlzXb/8hpF6LVd/4v6KUNpfxY9iNv7HgDnVrHzH4z6RPfJ2K/XyFEF1e1P/SY1wWuI3ElOU7PzFE5PBekvZ1aBRP6hN8WOBiX18c7PxSFHP90+yGqG7yY7JE9PUy2Gki2GhjWjmq0qTYDv58+kKufX99s7MzB6aRaO3/ccPt8HKx08tr6Qn4orGZwlo0LR+SQFW8MK5FMCNE9Nbh9bCmqDTm+6UA1DW4/dlPg82JQpi1k4u1pg9JJtETm+lGtyxs06fawjfurGJAR2ZX+Oq2anEQzOYntqwqVl2JhaJaN7w/UNNmuVsHvzhlIgrnzX68qq3Oxo6SO577Zg8vrZ+bIHE7IiY/8zSMhRJdU4/URfPlFQLnHS9+f/r9en0xOzgK2bbsr6GOzsy5BrY7Md9KdO3eGHCsqKsLtdkc0eQogUaclUadlYFzbFxHqdHb69v01a9ddiKI0bcEUFzcQi6VviGd2HoqiUFvuZNfGQxRuqcSabGTwhCysSUb0xpi6DSiECMbrCrTXC6V0M3gajiRPWVLAlgU1zRNiSekP5shcr6p3eflmV/DkXoD3fyxhUr8It4lTqSA+J/DD6W3eTYrVwPQTMnlr48FmY789ewDpXeF7e0MlVO6GNf8OtGoceB7kTQq0NhQiRsXUt6be8b1DjiUaE5tUm7Ib7Nwz/h7mr5xPSUNJ43aDxsA/T/0nKeaUiMxJq1Fja+HLa7xZh1bTOZN4jDoNl4zpQWa8iYf+t53CSgdZ8SYWT+3LqQPSMOk795+X0+vkk/2fcOfnd6KgkKHPYKp1Kvtr9tPb0BujtgsEti7o6quvZubMmUHHTKYI9y9uo3vuuYdbb7016Fgsl4GNRVqNmh6JZvaWNwQdH/izmwVpljR+N/Z33PPNPU22D08ZzgX5F6CJ0MUoja7lGyKdOQHJlpzCzLv/xDevv8LWL1bh8/nIGzaKCb+8POIJXx2htL6Umz+5mY1lR6rKfLD3A37R8xfcNeYuSaASQoC1hZVqai3oj9wsMGg1XDupN+v2VLD5qBvnahX836xhpNki83muUatIbOFGsd2kQ9tJVyWrVCrG90nm2fmjuf+dLWwrqSXBrGPhhDxmjMxusQJLZ6AoChv2VTHn39/i9gVucX2y/RBPfrabZxeMZnSvRFkRLkSMM+rV9Eoys7usPuh475Q4TEe1bE2zGXjy0hFc8exaPL4jK7R7Jpm566wBxBkikzyl16hQqQhaEQtaroAVbak2I09cNpKlX+7hhW/2Uu/2MbxnPL87eyD9Ipzw1RHK6lz84e0feXvjkcTnD7eUMjTLxpOXjSTd3jmunQghoifuGNXo4n+WoJ+SfArlZadQVv5xk+15uTdhMvWM2LxaSozSarWo1Z23ip7F0pcRI16loOB+qqvXotGYycqcTU7OfAyGCN+47wCVRfW8/tf1uBqOdDjZ9MkBTr18AL2Hp6LTy6INIWKaRh+ouFTwQfDxhNxA673DrBkw60V4Zhq4jlqQYE6CGcsgLjL3yNUqFXFGLTWO5t2ZIJCg1FnFm/X89pyBDMq08eRnuyivd9M3NY67zh7A8B4Jnb9Ah6MKVj8Gn/75yLaCD8CeA5e/AwmR+34gRFfSubNbImxoylDidHHUeZpXEVkweEGzhKgeth48f9bzbK3YyobSDfS09WRU+ijSLekRa9GTYNazcGIe170YvIXRgpNzI9o+I9ISLAYuGJ7NyX2T8Xj96DRqUrtCNi1Q5ijjN1/+BoWmVwL9+DlYd5Aeth7SiqkDJCYmkpiYGO1ptCg1NZXU1M5/Uiw6XorVwI2n9uXm5c3bLxm0ak7p3/TvJE4Xx1m5ZzEqfRSf7v+UKncVE7MnkmPNabGlX7jMNjsJGVlUFjVf+RGXmITZHh+x1+oI8WnpnDr/asbP/CUoYDCbMZg7f7s+RVH4eP/HTRKnDvvf3v9xUd+LGJ81PgozE0J0KvYsSMyDiiDtgoZeDJamsSMj3sSyeaPZeaiOLwrKSLEamNwvlVSbIWKLEbRqNZeN78nr3wVZMQgsODmP5E58Qcpm1DExP4VBmTacHh8atZoUqwFNF0g6Kq5xct2L3zUmTh3m9vm5/sXveOv6k8iQm+BCxLQ4g47rTunLqm3Nq5KrVDD/5NwmLdv0Wg3jeifx4c2T+KIg0JJ1TG4i/dJtpNsjdz0mwaLn1P6pfLiltNmYQatutpCks8mwm7jt9Hzmje+FXwGzXtOpE76Otq24tkni1GHfH6jh3U3FzBvfq/PfjBFCdKhknZZTEq18XNG8cuGJVhPJPzuPMBhSGTDgTzgchZSVf4RGbSI55RcY9KnodJH7PO/Tpw8qlQolSObtiSeeGPGqU5Gk0Rix24ZywtAn8PnqATU6XTIaTWQ7gnQEZ52Hj5/f2iRx6rBVz20lo3c89hQ55xAipqlUcOIl8NU/wR8kUWnKr8Gc2PTx6UPh6i+hcDUU/wiZJ0LWiJ8qNkVGcpyey8b24pFVO4KOnzO0fV0wOlqK1cDCCXmce2IWPr8fg05Dclznvb7WRO3BpolTh1Xvh0//Amf9FfQSO0TsianMkHRLOk+f/jQ3fHxDYzUptUrNzPyZnJ13NmpV85UP6ZZ00i3pTM6Z3GHzGpObxNlD0nnnh+Im2+eO60m/Fnqmdiap1q6RMHW0gqoCPH5P0DGH14HP75PkKSEEk/ulct2UPjz+6c7G3ttJFj1PXDqCzPjmXx4tegsWvYVe9l4dNidLfALTbrqT5X/4Fc76IwnBOqOJc2/9DXEJnTtBEUBnMKAzRGaFyvFS4azg5W0vhxx/ceuLjEgbgUF6gwsR26zpMOc1eGk2HNp6ZHv+mXDKb8HQ/IZBqs1Iqs3IuN6RS7T9uV5JFq6b0qfZBanJ/VKYOrBrJI0ndZULUEepqHdTWhu81e6hOhdldW5JnhJCkJ8Wx58vHMLdb/2I0xNItowzaPnLRUPpmdS8hZ1eq6FnkoWeSR13E9pq1PG7aYPYWlxLYeWR9n1atYrH5oyIWHXEjqTTaMgIcs7Wmbm9fp75ak/I8ee/3su0oRmkdMHrcEKIyLHrtDzYL4frt+zlq6ojlQtPiDPx1KBeJOubJ/zo9Uno9UnY7Sd02Lzi4uI499xzefPNN5skUKWmpjJhwgS02s5/rV2ni0eni4/2NMLirPdQsqsm6Jjfp1BWWCvJU0KIQEWhX66AV+eBsyqwTaOHU++GzOHNH69WQ0KPwM+QGR0yJa1GzZyxPfliRxkb9lc1Gbvn3EFkRHBxSEdRq1URXcRy3Gz5b+ixH5bDlF+BXtr3idjT+b+tRpBapWZA4gBePPtFyhxl1HvqSTOnkWhMJE4fF7V5pVgN3HveYK6a2Jv3fixGq1Zx5uAMMuONxLfQXkO0j8sb/CbGYT+vSCWEiE2JFj3XTu7NzJE5FNU4MOk0pMQZSLMZo9pmJ7lHL+b8+R8c3LaF4p3bSe2VS/aAIViTk2UVcgdRUHD5QscOl8+FT/EdxxkJITqtxDy47G2oLwVHJVjTwJICpoSoTSnerGfhxFymnZDBe5uKcbh9nD4onR5J5q6zKq4L8vlbPqfw+f0tjgshYoPVqOO8E7M4qU8yxdVO1CoVaTYDKTYDek302uz0SDSz4upxbD5Yw9c7y8lONDOlXwrpNiN6rbT/6Qh+xY/TE/qcwuX1h2ylKISILVlGPf8elEuZx8sht4cknZZkvTZo4tTxYjAYGDhwINnZ2Wzbto3a2lr69u1LamoqVmvXWCTeFfmPcc7h9cg5hxAC0BkhdyJc8yXUFoPPDbaswPUqffMFG8dLut3Ik5eNYNehej7aUkKCWc9pg9JJtxmIM3b+6n9dlrsh9JjfE7p/uxDdXEwlTwGoVCpSzamkmjvX6upEi4FEi4GhOfHRnkrM6J/YHxWqoElSOo0OjUouBAohAswGLT0MWnoEWfUdLSqVCntKKvaUVAacPCna04kJ8fp4Tu95Ok9vejro+PTe0zHrOs/fiBAiyqypgZ9OxG7SYzfp6ZfeuVstdSdJFj0WvYZ6d/Mb4aauVM5dCNHhDDoN2QlmshM61/fJDLuJDLuJUwekRXsqMcGo03LRiGw+KygLOn72kHQSLHITSQgRkKjXkqjXkm/pPBUv9Ho9ycnJJCd3XFVd0ZTBrMWeaqK61BF0PLWHJK4JIX6i0YI9O/DTiaRajaRajYzNS4r2VGJH/7Phy4eDj+VOAYNcOxSxqXmfOiFiRJIpicsGXhZ0LNOSia41/cx9nkB2rqMK3HWBTG0hhBDdklajZUa/GSQZm5/E5dpzGZ0++pj78Hn91JQ72Le5nJ3flVJZUo+rIUifeSGEEN1Cis3Ab6cNDDr2m3MGkGo9dvJUZb2bgpJa3v2hiG92lnOwynHMilZCCCG6rlG5ifRLb14hP8mi59JxvdAdoxqZ369wsMrB6l3lvPtDEduKa6mol+tVQgjRXVnsBiZf0p9gheiHTMnGbDt2dxO/04unzEHDj2U4tlfgrXSieKW6uhBCdFsJvaDPL5pv15ng9PvAZD/2PmqKoHAN/PgmHNwAdaWRnqUQx13MVZ4S4jCr3sr8IfM5IfUEnvz+SfCAUWskx5qDWduKlZ5eN1TuBs9RpQ01ekjsHSh/KYQQotvJisvihbNe4MWtL/Le7vfQqrVc0PcCzutzHmmWllfjez0+CrdWsvKpTXjdR0qmD56UxahzcjFbpVWvEEJ0N3qNhrMGZ9Az0cJD/9vGzkP15KVYuHlqPoOy7Mdse1Va4+S3b25i5Y8ljdvsJh3L5o1iSJYdrUbWQwkhRHeTYTexbN5oXltXyMtr9uPy+jlnaAbzTsolJ7Hl61V+v8Kmg9VcvnRNk4SpU/qn8scLhpBmk+tVQgjRHaXl2pjxq1F8+/YuSvbUYLEbGHFmT7LyEzCYW14k7qvzUPvpPuq+OMjhJh0qnZqEWf0w9k1ArZcOHUII0e3EpcC5j8C29+DrR8BZBb1PhYm3QkLesZ9fvgOevyhwn/yw9BNg1gsQn9Nh0xaio6kUpes2raypqcFut1NdXY3NJuXjRNtVOitpcDRQVVRF77zeGI3HuJjk90HlHnDVNB/T6CG5b+B/hTiOnE4nu3fvJjc3t9nfsHxeHiHvhYgEj89DpasSFSoSjYlo1Me+kFRV0sCLf1iNEqRayCmX9WfA+MyOmKoQbSaflwHyPohIqWpw4/T4MerUxJuPfa7g8fn5vw+388iqnc3GzHoNKxdPPOZNdCGOJ/m8PELeCxEJPr9CeZ0LRYEEi+6YCbcAByodnPl/n1HjbF7ddv5JvbjzzAHotZJ4KzoP+bwMkPdBRIrL4cXj9KLRqjG1cpFew8ZDVLy0tfmACtJuGoEuVc45ROcin5kB8j6IiKkrBb8XjPGgb8Vnfm0JPHM2lBU0H8udBDOfAVNCxKcpRFuF83kpZ8tCAAnGBJJMSahVrfxPwu8JnjgFgdZ9Pk/kJieEEKLT0Wl0pJpTSTGntCpxCmDHupKgiVMA697bS321K5JTFEII0cnEm/Wk242tSpwCOFTrYtlXe4OONbh9bNhfFcHZCSGE6Gw0ahWpNiNpdmOrEqcANhdVB02cAnjx230cqnVGcopCCCE6GYNJS1yCsdWJU746NzUf7ws+qEDDupLgY0IIIbqPuFSwZbYucQqgriR44hTA7k+hvjxycxPiOJPkKSHaQvGHHlOpcTocVBwopKhgGxUHC3HW1R6XaRUXF3P99deTl5eHwWAgJyeHadOm8dFHHzU+5quvvuKss84iISEBo9HIkCFDeOihh/D5Aj3MX3vtNTQaDQcOHAj6Gn379uXmm28GYPLkySxevLhxbPLkyahUKlQqFQaDgaysLKZNm8brr78e1nGoVCr+85//BB375JNPGl9DrVZjt9sZNmwYt99+O0VFRU0e+/vf/x6VSsXVV1/dZPuGDRtQqVTs2bMnrHkJIUR7VBQ1hByrrXTi93XZYqBCCCE6gMfnp84V/AY4wL7y0HFFCCFEbNpf6Qg55vT4cXlbuJ4lhBAi5ig+BV9V6MV8nkMOFL/EDiGEEEdxVLY87q47PvMQogNENXnqs88+Y9q0aWRmZraYLCGCqC2GwrWw+S0o2hgoqSeOH5UGUAXZrqZWlcB/H/k/lt58NS/+5haW3nQ17/zjQWrLD3XolPbs2cOIESP4+OOPefDBB/nhhx94//33mTJlCosWLQLgjTfeYNKkSWRnZ7Nq1Sq2bt3KjTfeyH333cesWbNQFIXp06eTlJTEM8880+w1PvvsM3bs2MGCBQtCzmPhwoUUFRWxc+dOXnvtNQYOHMisWbO48sorI3q827Zt4+DBg6xZs4Y77riDDz/8kMGDB/PDDz80eZzRaOTpp5+moCBEFrQQMcLncODev5/aTz+l9tNPce/fj98R+sK6iLzs/qFL1abkWNHqJaddCNG5lNW52Hywmvc3FfPdvkpKaqRaxfFk1GrItIduJz40x34cZyOEEMfm9vkorGzgi4IyPvixmN1l9dQ6pDL38TQ4M3QLgpQ4AyZ96ypYCSHE8VLp9rK93sk7pVV8XVXHAacbvyKLy44XlV6NLisu5Lixtx2VWq5XCSE6Eb8fqgth71eBe+SlW6GhItqzii3WjNBjGh2Y4o/bVISING00X7y+vp4TTjiB+fPnc8EFF0RzKl1L2Q544UKo3HNkW8aJcPHzEJ8TrVnFFrUuUMawrmnZWqfKysqnn2Lv99812b5n43o+eOKfnH3DbRjjrB0ypWuvvRaVSsW3336LxWJp3D5o0CDmz59PfX09CxcuZPr06Tz55JON41dccQVpaWlMnz6d5cuXc/HFF3PppZeybNkyfv3rXzd5jSVLljBmzBgGDRoUch5ms5n09HQAsrOzGTt2LP3792f+/PnMnDmTqVOnRuR4U1NTiY+PJz09nfz8fM4991yGDRvGNddcwxdffNH4uH79+pGamspdd93F8uXLI/LaQnQ1vppaqt/5LyUP/BE8P9280GpJu/MO7NOno5Ge6MdFdv8EjBYdzvrmN5DGnd8bU1zrSqoLIcTxcLDKwbUvrGPD/urGbdkJJp6dP5q8lNAX10XkpNmN3H5Gfxa/sqHZWE6iib6pHXNeIYQQbeHy+PhyZzmLXliPwxOobK1SwbzxvVg0pQ9JcYYozzA29Eyy0DvFws5D9c3Gbj4tnzRr6KRcIYQ43kpcHu7cvp/3ymoatyXqNLwwNI+hVjMaVZDFyyKiNCYd9tN7ceixjc3GVCYtxgFJUZiVEEKE4PcFCoq8cBE0HNUart/ZcM5DYE2P3txiiSUZ8s+A7e83HxsxP3D/XIguKqop42eeeSb33Xcf559/fjSn0bXUFsNLM5smTgEUbYC3F4OjOsiTmiuudvLJtlLuf2czS7/czd6yepw/XdwSraBWgyUF4tJAdeQ/owaPqlni1GF7Nq6nobp1v59wVVRU8P7777No0aImiVOHxcfH88EHH1BeXs6tt97abHzatGnk5+fz0ksvAbBgwQIKCgr47LPPGh9TV1fHq6++2mLVqVDmzp1LQkJC2O37wmEymbj66qv58ssvKS1tWontT3/6E6+99hpr167tsNcXojNz7d5FyR/uOZI4BeD1UnLf/bh27mzVPjwuF5VFB1n3zn/45Lmn2bNxPXUV0rs6HLYkE+ffOpy03CPJama7njOuGkxyjtwAF0J0HjUOD79544cmiVMAhZUO5i1b0+oKVIdqnXy7u4I/vbeFf63awY7SOmqdUoEkHJP7pXD/eYOxm3SN2yb0TeaFK8aS3kJVKiGEON4OVDlY+OzaxsQpAEWBJV/u4bOCslbtw+vzs6+igZe/3cd972zmvR+KOFgl1XLDkWYz8sz80Uzpl8LhnAObScvd0wZy+qB01GpJRBBCdA4ev59/Fx5qkjgFUOHxMWPDTg628ryh3O3l+9oG/rSriL/sKmJTbQOV7tCtr0VzunQzSXMHorEdWdSny4oj9aqhaBIk+VkI0YnUHIRnz22aOAWw7R34+l/gdbdqNwcqHfz3+4Pc985mVqzdz/6KBnx+qXrYauZEOOfvcOIloP6pTo/WCONvgIm3gM4c1ekJ0R5RrTwVLpfLhct1pP9yTU1NC4/upupKoDzEje6dH0L9ITC13L6hsLKBOf9ezZ7yhsZt972zhSfmjGBC32QMOinh3SoaHcSlgzkJFD+o1Lh272nxKS5H85V/kbBjxw4URaF///4hH7N9+3YABgwYEHS8f//+jY8ZOHAgY8eOZcmSJUycOBGA5cuXoygKs2bNCnt+arWa/Px89uzZE/Zzw3H4+Pfs2UNq6pHM5uHDhzNz5kzuuOMOPvroow6dg+h8Yj12+B0Oyv/9dMjx8n//G+ODD6I2h/5C63G52LV+De/8319QFD8A6/77BolZOVz463uwJadEfN7dVWKGhbMXDcVZ58HvUzCYtVjiDahkNaUQnUasxw2A8no3q7YHbzm9t7yB0hoXabaWE3dKapxc9+J61uypbNz2l5Xb+O05A5g5IgfrUclAIrR4s55Zo3KY0j+VGqcHg1ZDkkWPTd4/IToViR3w1saDIW84PPJxASf3SSbFGvoGrM+vsGF/FXOeXo3TEzjn+De7SYkz8MpVY6XqYRiyE8z836xhVNS7cXp9WI1a0qxGtBppuyREZyFxA0rdXpYcCJ5cW+fzs7G2gRxTyxW6y9we/rDjICtKjpxzPLS3hMsyk7gjN50kvXxnbg21QYuxfyIpi05EcXhBrUJt0aKxSIV0IToTiR0Eqk65Qhz32n/D6IXH7NBUUFLLxU9+Q0X9kUQrs17DiwvHckK2Xa7Tt5YtA856ECbeDp560MeBNS2QRCVEF9alzpr/+Mc/YrfbG39ycmKwRd3Ps2l/ztNyck69y8uf3tvaJHEKAheprnlhHSW1rhDPFEGp1aA1gM4EWgMGc/OqT0czmFoebysljD7wrX3s/PnzefXVV6mtrQUCLftmzJiB1dq26iiKonT4l47Dxxbsde677z4+//xzPvjggw6dg+h8Yj12+J1OPIWFIcc9+wvxO1v+7K+vrOCdfxxJnDqs4sB+vn71RTwuiR3hMMXpSUi3kJQVR1yCUU7IhOhkYj1uADS4vbT0lbG8vuXPfZ9f4bV1hU0Spw67979bOCBVRMKi0ajJjDfRP91GbrJFEqeE6IRiPXYoikJBSV3I8QNVDrw+f8hxCCTdXvHs2sbEqcMO1bm4ZcXGJjc3xLHZTDp6JVvon24jK94siVNCdDKxHjcA3H6F+hZiwx7Hsa81ratuaJI4ddizB8v5oU7OOcKhUqnQ2g3o0i3oUs2SOCVEJySxA6jcHXrMXQ++lmNHeZ2L61/6rtm5RYPbx8Jn1ra60rr4id4Cib0gbRAk9JTEKdEtdKkz51/96ldUV1c3/uzfvz/aUzr+bFmhxzR6MLZcdaqi3s17m4qDjnl8Chv2VbVjcsJst9PrhOFBx3qdMByzveXfT1v17dsXlUrF1q1bQz4mPz8fgC1btgQd37JlS+NjgMYKU8uXL6egoIAvv/yyTS37AHw+HwUFBeTm5rbp+a11+Nh69erVbKx3794sXLiQO++8M6xkM9H1xXrsUFssmE48MeS46cQTUce1nNi5f/MPKP7gF7S2fL6KhpqOaUkqhBDREOtxA8Bq1KFv4SZrZrypxeeX1blY+tWekOOvf3egrVMTQohOKdZjh0ql4qQ+ySHHB2XaMelbrnJ+oNJBVUPwFk3f7auS5CkhRLcS63EDwKRWkd5CZagTrC23/Kn2ePnX/tKQ44/vO0Sd1xdyXAghuhqJHUDGiaHHrOnHbBdXXu9ma3Ft0LFDdS5KamSRuBCxrkslTxkMBmw2W5OfmGNJgd6nBh8buQAsaS0+3ev3t9i3teIYq8hFy4xxVk676vpmCVS9ThjOaVddjzGubVWbjiUxMZHTTz+dRx99lPr65tXHqqqqOO2000hMTORvf/tbs/G33nqLgoICZs+e3bjNarUyY8YMlixZwtKlS8nPz2fChAltmt8zzzxDZWUlF154YZue3xoOh4Mnn3ySiRMnkpISvIXY7373O7Zv387LL7/cYfMQnU+sxw61Xk/ipXNQ6YJckNLpSJx7GWp9y6vJGmqqQo75vF4Un1yMEkJ0H7EeNwBSrQYuG98z6NjJfZJJiQvddgnAryjUOILfAAc4JNVuhRDdjMQOmJifjD1EZbw7zuhHvLnlc45al7fFcbe35cpVQgjRlUjcgDSDjl/lZQQd62XS09fS8jmHV4HqFpKjqrxePLKAVgjRjUjsAJL7QGJe8LEpvwFr8Lhy2LHOKRrcLZ+TCCG6P220JyDCZE6Ecx+BD/8Am1aA3xcogzd6IYy/AfQtrwK36LX0TDKz92dt+w4b0TOhI2YdU6xJKZx9w200VFfjctRjMFkw2+0dljh12KOPPspJJ53E6NGjueeeexg6dCher5f//e9/PPbYY2zZsoUnnniCWbNmceWVV3Lddddhs9n46KOPuO2227jooouYOXNmk30uWLCACRMmsGXLFu64445WzaOhoYHi4mK8Xi+FhYW88cYbPPzww1xzzTVMmTKl1ceze/duNmzY0GRb3759G/9/aWkpTqeT2tpa1q1bx1/+8hfKysp4/fXXQ+4zLS2Nm2++mQcffLDV8xCiO9BlZ9PjmWUU/fou3Hv2BLb17EnmA/eja0V535yBQ0OOJef0RGdqOfYIIYToWow6DVdN7I1WrWLZV3twevxo1CqmDc3gjjP7k3CMFg5xBi3jeyexatuhoONnDk7viGkLIYSIoqx4EyuuGsctKzbyw4FAZdpUq4F7zh3EwIxj39jJTQq9Stxm0hJvlpalQgjRnahUKk5LtvFA3yz+vLu4MRFqUkIcf+mXQ7qh5XMOm1bN1CQbW+uDt1g6I9mOTdty1UMhhBBdjDUDLv0PvL0Ydn0c2Ga0w+RfQ/+zQKVq8enxZh1mvYYGd/PkW7Xq2JXWhRDdX1STp+rq6tixY0fjvw8nSyQmJtKjR48ozqyTs2XCOQ/B5DvB0wD6OLCmtaqXaKrNyB+mD+LypWuajZ3cJ1kCQ4QY46wdniz1c3l5eaxfv57777+fW265haKiIlJSUhgxYgSPPfYYABdddBGrVq3i/vvvZ8KECTidTvr27ctdd93F4sWLUf3si8XJJ59Mv3792LFjB5dddlmr5vHUU0/x1FNPodfrSUpKYsSIEbzyyiucf/75YR3PzTff3Gzb559/3vj/+/Xrh0qlIi4ujry8PE477TRuvvlm0tNbvhl366238thjj+F0Su9iETvUej3m4cPp+dyz+KqrURTQxNvRhajS9nP21DSy+g/kwNbNTQdUKqZcfhUWe3zkJy2EECKqUqwGbvpFPnPG9KTO5cWk15AcZ8BiOPYppNWo4/Yz+vPFjjI8vqarvXOTLQzN7phW1kIIIaJHpVKRn27lmfmjqKz34PUr2E1a0mzGZtcagkmKMzB7VA4vrWnefuTOMwaQZm25AokQQoiuJ0Gn5bLMZE5LtlPr9WFQq0jSabHrjn3OoVOruTQziecOljerQJWo03BBWgKaVsQfIYQQXUxCT5ixFBrKwesEgy2QVKU5duxItRq4+Rf53PfOlmZjc8f3IukYiwWFEN2fSlGiV7v0k08+CVqJZu7cuSxbtuyYz6+pqcFut1NdXR2b5QnbqM7l5fv9Vdz3zhY2F9VgM2q5/KRcLhnTgzTbsROwuiun08nu3bvJzc3FaIzd90F0XS39Dcvn5RHyXrRNXUU53638LxtWvoPb0UBqbm+mXLaQ1Lw+6OUzU4huST4vA+R9aBu318f2kjru/e9mVu+uwKBVM2NkNtdM7kOWLNgQoluSz8sj5L1om7JaJ29uPMhjn+ykrM5NryQzd5zZn3F5Scds+yeE6Jrk8zJA3oe2URSFnQ0uHthVxPtl1ahUcE6ynTvyMskzS9KtEN2VfGYGyPvQNpX1bj4vKOPBD7ayv8JBqtXAdVP6cNbQDJLjJHYI0R2F83kZ1cpTkydPJoq5WzErzqBlfJ9knlswGofHh0atIiXOgFajjvbUhBBCdFJxiUmMn3kJJ552Nn6/H53BgNkmlUOEEEIEp9dqGJxl54lLR1Dv8qJSqUiK02OQ1hlCCCFCSLYamTc+l7OHZOL1+9Fr1aRaZaGGEEKI4FQqFX0sRv5vQA+qvT5UQLxOg0Uj5xxCCCGCS7DomX5iJmPzEnH7/OjUalJthlZVyxVCdH9RTZ4S0ZUkGbQiCh544AEeeOCBoGMTJkzgvffeO84zEkK0lkajxZqUHO1pCCGE6ELizXqpFiKEEKLV1GoV6XZJmBJCCNF6Vq0GqyzSEEIIEYbUGO7EJIQITZKnhBDH1dVXX83MmTODjplM0sJFCCGEEEIIIYQQQgghhBBCCCGEEMePJE8JIY6rxMREEhMToz0NIYQQQgghhBBCCCGEEEIIIYQQQgjU0Z6AEJ2NoijRnoIQbSJ/u0IIIYQQQgghhBBCCCGEEEIIIUR4JHlKiJ/odDoAGhoaojwTIdrG7XYDoNFoojwTIYQQQgghhBBCCCGEEEIIIYQQomuQtn1C/ESj0RAfH09paSkAZrMZlUoV5VkJ0Tp+v59Dhw5hNpvRauWjXQghhBBCCCGEEEIIIYQQQgghhGgNucMuxFHS09MBGhOohOhK1Go1PXr0kKQ/IYQQQgghhBBCCCGEEEIIIYQQopUkeUqIo6hUKjIyMkhNTcXj8UR7OkKERa/Xo1ZLN1YhhBBCCCGEEEIIIYQQQgghhBCitSR5SoggNBoNGo0m2tMQQgghhBBCCCGEEEIIIYQQQgghhBAdSEqUCCGEEEIIIYQQQgghhBBCCCGEEEIIIWKSJE8JIYQQQgghhBBCCCGEEEIIIYQQQgghYpIkTwkhhBBCCCGEEEIIIYQQQgghhBBCCCFikjbaE2gPRVEAqKmpifJMhBCiczv8OXn4czOWSewQQojWkdgRIHFDCCFaR+LGERI7hBCidSR2BEjcEEKI1pPYESCxQwghWiecuNGlk6dqa2sByMnJifJMhBCia6itrcVut0d7GlElsUMIIcIT67FD4oYQQoQn1uMGSOwQQohwxXrskLghhBDhk9ghsUMIIcLRmrihUrpwaq7f7+fgwYNYrVZUKlWHvU5NTQ05OTns378fm83WYa8TbbFynCDH2h3FynFC245VURRqa2vJzMxErY7tjq0SOyIrVo4TYudYY+U4IXaOta3HKbEjQOJG5MXKscbKcULsHGusHCfIOUd7SeyIrFg5ToidY42V44TYOVY552gfiRuRFyvHGivHCbFzrLFynCCxo70kdkRWrBwnxM6xxspxQuwc6/GIG1268pRarSY7O/u4vZ7NZuvWf3CHxcpxghxrdxQrxwnhH2ssr8I4msSOjhErxwmxc6yxcpwQO8faluOU2CFxoyPFyrHGynFC7BxrrBwnyDlHW0ns6BixcpwQO8caK8cJsXOscs7RNhI3Ok6sHGusHCfEzrHGynGCxI62ktjRMWLlOCF2jjVWjhNi51g7Mm7EbkquEEIIIYQQQgghhBBCCCGEEEIIIYQQIqZJ8pQQQgghhBBCCCGEEEIIIYQQQgghhBAiJknyVCsYDAbuvvtuDAZDtKfSoWLlOEGOtTuKleOE2DrWrixWfk+xcpwQO8caK8cJsXOssXKcXV0s/Z5i5Vhj5Tghdo41Vo4TYutYu7JY+T3FynFC7BxrrBwnxM6xxspxdnWx9HuKlWONleOE2DnWWDlOiK1j7cpi5fcUK8cJsXOssXKcEDvHejyOU6UoitJhexdCCCGEEEIIIYQQQgghhBBCCCGEEEKITkoqTwkhhBBCCCGEEEIIIYQQQgghhBBCCCFikiRPCSGEEEIIIYQQQgghhBBCCCGEEEIIIWKSJE8JIYQQQgghhBBCCCGEEEIIIYQQQgghYpIkTwkhhBBCCCGEEEIIIYQQQgghhBBCCCFikiRPtdKf/vQnVCoVixcvjvZUIu73v/89KpWqyU///v2jPa0Oc+DAAebMmUNSUhImk4khQ4awdu3aaE8ronr16tXsd6pSqVi0aFG0pxZxPp+P3/72t+Tm5mIymejduzf33nsviqJEe2oRV1tby+LFi+nZsycmk4nx48ezZs2aaE9LtEBiR/cQC3EDYid2xFLcAIkdXY3Eje4jFmJHrMQNiK3YIXGj65HY0T3EQtyA2IkdsRQ3QGJHV9RdY0csxQ2Q2CGxo+uSuNH1dNe4AbEVOyRudK+4ARI7OiJ2aCO+x25ozZo1PPHEEwwdOjTaU+kwgwYN4sMPP2z8t1bbPf80KisrOemkk5gyZQrvvfceKSkpFBQUkJCQEO2pRdSaNWvw+XyN/960aRO/+MUvmDFjRhRn1TH+/Oc/89hjj/HMM88waNAg1q5dy7x587Db7dxwww3Rnl5EXXHFFWzatInnnnuOzMxMnn/+eaZOncrmzZvJysqK9vTEz0js6B5iJW5A7MSOWIobILGjK5G40X3ESuyIlbgBsRU7JG50LRI7uodYiRsQO7EjluIGSOzoarp77IiFuAESOyR2dG0SN7qW7h43IDZih8SN7hc3QGJHh8QORbSotrZW6du3r/K///1PmTRpknLjjTdGe0oRd/fddysnnHBCtKdxXNxxxx3KySefHO1pHHc33nij0rt3b8Xv90d7KhF39tlnK/Pnz2+y7YILLlAuueSSKM2oYzQ0NCgajUb573//22T78OHDlbvuuitKsxKhSOzoPmI1bihK940dsRI3FEViR1cicaN7idXY0V3jhqLETuyQuNG1SOzoPmI1bihK940dsRI3FEViR1fT3WNHrMQNRZHYIbGj65K40bV097ihKLETOyRudL+4oSgSOzoidkjbvmNYtGgRZ599NlOnTo32VDpUQUEBmZmZ5OXlcckll7Bv375oT6lDvPXWW4wcOZIZM2aQmprKsGHDeOqpp6I9rQ7ldrt5/vnnmT9/PiqVKtrTibjx48fz0UcfsX37dgA2btzIF198wZlnnhnlmUWW1+vF5/NhNBqbbDeZTHzxxRdRmpUIRWJH9xGLcQO6d+yIlbgBEju6Eokb3Ussxo7uHDcgdmKHxI2uRWJH9xGLcQO6d+yIlbgBEju6mliIHbEQN0Bih8SOrkviRtcSC3EDYiN2SNzofnEDJHZ0SOyIaCpWN/PSSy8pgwcPVhwOh6IoSrfNqn333XeV5cuXKxs3blTef/99Zdy4cUqPHj2UmpqaaE8t4gwGg2IwGJRf/epXyvr165UnnnhCMRqNyrJly6I9tQ7zyiuvKBqNRjlw4EC0p9IhfD6fcscddygqlUrRarWKSqVSHnjggWhPq0OMGzdOmTRpknLgwAHF6/Uqzz33nKJWq5X8/PxoT00cRWJH94odsRg3FKV7x45YihuKIrGjK5C40b3ihqLEZuzoznFDUWIrdkjc6BokdnSv2BGLcUNRunfsiKW4oSgSO7qKWIgdsRI3FEVih8SOrk3iRtcQC3FDUWIndkjc6H5xQ1EkdnRE7JDkqRD27dunpKamKhs3bmzc1l0Dw89VVlYqNptN+fe//x3tqUScTqdTxo0b12Tb9ddfr4wdOzZKM+p4p512mnLOOedEexod5qWXXlKys7OVl156Sfn++++VZ599VklMTOyWAX/Hjh3KxIkTFUDRaDTKqFGjlEsuuUTp379/tKcmfiKxo/vFjliMG4rSvWNHLMUNRZHY0dlJ3Oh+cUNRYjN2dOe4oSixFTskbnR+Eju6X+yIxbihKN07dsRS3FAUiR1dQazGju4aNxRFYkd3FEuxQ+JG5xercUNRum/skLjRPUnsiHzskOSpEN54443GN//wD6CoVCpFo9EoXq832lPsUCNHjlTuvPPOaE8j4nr06KEsWLCgybZ//etfSmZmZpRm1LH27NmjqNVq5T//+U+0p9JhsrOzlUceeaTJtnvvvVfp169flGbU8erq6pSDBw8qiqIoM2fOVM4666woz0gcJrGj+8WOWIsbitL9Y0csxg1FkdjRWUnc6H5xQ1FiL3Z097ihKLEZOyRudF4SO7pf7Ii1uKEo3T92xGLcUBSJHZ1ZLMeO7hg3FEViR3cUi7FD4kbnFctxQ1G6Z+yQuNE9SeyIfOxQR7YJYPdx6qmn8sMPP7Bhw4bGn5EjR3LJJZewYcMGNBpNtKfYYerq6ti5cycZGRnRnkrEnXTSSWzbtq3Jtu3bt9OzZ88ozahjLV26lNTUVM4+++xoT6XDNDQ0oFY3/SjTaDT4/f4ozajjWSwWMjIyqKysZOXKlZx77rnRnpL4icSO7hc7Yi1uQPePHbEYN0BiR2clcaP7xQ2IvdjR3eMGxGbskLjReUns6H6xI9biBnT/2BGLcQMkdnRmsRo7umvcAIkd3VEsxg6JG51XrMYN6L6xQ+JG9ySxI/KxQxvRvXUjVquVwYMHN9lmsVhISkpqtr2ru/XWW5k2bRo9e/bk4MGD3H333Wg0GmbPnh3tqUXcTTfdxPjx43nggQeYOXMm3377LU8++SRPPvlktKcWcX6/n6VLlzJ37ly02u77n/q0adO4//776dGjB4MGDeK7777joYceYv78+dGeWsStXLkSRVHo168fO3bs4LbbbqN///7Mmzcv2lMTP5HY0f1iRyzFDYiN2BFLcQMkdnR2Eje6X9yA2IodsRA3ILZih8SNzk9iR/eLHbEUNyA2YkcsxQ2Q2NEVxErsiJW4ARI7uqNYih0SNzq/WIkbEDuxQ+JG9ySxowNiR0TrWHVz3bWf68UXX6xkZGQoer1eycrKUi6++GJlx44d0Z5Wh3n77beVwYMHKwaDQenfv7/y5JNPRntKHWLlypUKoGzbti3aU+lQNTU1yo033qj06NFDMRqNSl5ennLXXXcpLpcr2lOLuFdeeUXJy8tT9Hq9kp6erixatEipqqqK9rTEMUjs6PpiJW4oSmzEjliKG4oisaMrkrjRPcRK7IiFuKEosRU7JG50TRI7ur5YiRuKEhuxI5bihqJI7OiqumPsiKW4oSgSO7qbWIodEje6pu4YNxQltmKHxI3uR2JH5GOHSlEUJbLpWEIIIYQQQgghhBBCCCGEEEIIIYQQQgjR+amP/RAhhBBCCCGEEEIIIYQQQgghhBBCCCGE6H4keUoIIYQQQgghhBBCCCGEEEIIIYQQQggRkyR5SgghhBBCCCGEEEIIIYQQQgghhBBCCBGTJHlKCCGEEEIIIYQQQgghhBBCCCGEEEIIEZMkeUoIIYQQQgghhBBCCCGEEEIIIYQQQggRkyR5SgghhBBCCCGEEEIIIYQQQgghhBBCCBGTJHlKCCGEEEIIIYQQQgghhBBCCCGEEEIIEZMkeUoIIYQQQgghhBBCCCGEEEIIIYQQQggRkyR5SsSUyZMns3jx4mbbly1bRnx8PAC///3vUalUnHHGGc0e9+CDD6JSqZg8eXKzscLCQvR6PYMHDw762iqVqvHHbrdz0kkn8fHHH7d67o8++ii9evXCaDQyZswYvv3221Y/VwghRNtI3BBCCBEuiR1CCCHCIXFDCCFEuCR2CCGECIfEDSFaR5KnhAgiIyODVatWUVhY2GT7kiVL6NGjR9DnLFu2jJkzZ1JTU8Pq1auDPmbp0qUUFRXx5ZdfkpyczDnnnMOuXbuOOZ9XXnmFm2++mbvvvpv169dzwgkncPrpp1NaWhr+wQkhhIg4iRtCCCHCJbFDCCFEOCRuCCGECJfEDiGEEOGQuCFinSRPCRFEamoqp512Gs8880zjtq+++oqysjLOPvvsZo9XFIWlS5dy6aWX8stf/pKnn3466H7j4+NJT09n8ODBPPbYYzgcDv73v/8dcz4PPfQQCxcuZN68eQwcOJDHH38cs9nMkiVL2n6QQgghIkbihhBCiHBJ7BBCCBEOiRtCCCHCJbFDCCFEOCRuiFgnyVNChDB//nyWLVvW+O8lS5ZwySWXoNfrmz121apVNDQ0MHXqVObMmcPLL79MfX19i/s3mUwAuN3uFh/ndrtZt24dU6dObdymVquZOnUqX3/9dRhHJIQQoiNJ3BBCCBEuiR1CCCHCIXFDCCFEuCR2CCGECIfEDRHLJHlKiBDOOeccampq+Oyzz6ivr2f58uXMnz8/6GOffvppZs2ahUajYfDgweTl5bFixYqQ+25oaOA3v/kNGo2GSZMmtTiPsrIyfD4faWlpTbanpaVRXFwc/oEJIYToEBI3hBBChEtihxBCiHBI3BBCCBEuiR1CCCHCIXFDxDJttCcgRGel0+mYM2cOS5cuZdeuXeTn5zN06NBmj6uqquL111/niy++aNw2Z84cnn76aS6//PImj509ezYajQaHw0FKSgpPP/100H0KIYToeiRuCCGECJfEDiGEEOGQuCGEECJcEjuEEEKEQ+KGiGWSPCViis1mo7q6utn2qqoq7HZ7s+3z589nzJgxbNq0KWRW7YsvvojT6WTMmDGN2xRFwe/3s337dvLz8xu3P/zww0ydOhW73U5KSkqr5pycnIxGo6GkpKTJ9pKSEtLT01u1DyGEEG0jcUMIIUS4JHYIIYQIh8QNIYQQ4ZLYIYQQIhwSN4RoHWnbJ2JKv379WL9+fbPt69evb/IhftigQYMYNGgQmzZt4pe//GXQfT799NPccsstbNiwofFn48aNTJgwgSVLljR5bHp6On369Gl1YADQ6/WMGDGCjz76qHGb3+/no48+Yty4ca3ejxBCiPBJ3BBCCBEuiR1CCCHCIXFDCCFEuCR2CCGECIfEDSFaRypPiZhyzTXX8Mgjj3DDDTdwxRVXYDAYeOedd3jppZd4++23gz7n448/xuPxEB8f32xsw4YNrF+/nhdeeIH+/fs3GZs9ezb33HMP9913H1pt+/5Tu/nmm5k7dy4jR45k9OjR/P3vf6e+vp558+a1a79CCCFaJnFDCCFEuCR2CCGECIfEDSGEEOGS2CGEECIcEjeEaB2pPCViSl5eHp999hlbt25l6tSpjBkzhuXLl7NixQrOOOOMoM+xWCxBAwMEsmoHDhzYLDAAnH/++ZSWlvLuu++2e94XX3wxf/3rX/nd737HiSeeyIYNG3j//fdJS0tr976FEEKEJnFDCCFEuCR2CCGECIfEDSGEEOGS2CGEECIcEjeEaB2VoihKtCchhBBCCCGEEEIIIYQQQgghhBBCCCGEEMebVJ4SQgghhBBCCCGEEEIIIYQQQgghhBBCxCRJnhIiyvbt20dcXFzIn3379kV7ikIIIToRiRtCCCHCJbFDCCFEOCRuCCGECJfEDiGEEOGQuCE6I2nbJ0SUeb1e9uzZE3K8V69eaLXa4zchIYQQnZrEDSGEEOGS2CGEECIcEjeEEEKES2KHEEKIcEjcEJ2RJE8JIYQQQgghhBBCCCGEEEIIIYQQQgghYpK07RNCCCGEEEIIIYQQQgghhBBCCCGEEELEJEmeEkIIIYQQQgghhBBCCCGEEEIIIYQQQsQkSZ4SQvx/u3YgAAAAACDI33qQiyMAAAAAAAAAgCV5CgAAAAAAAAAAWJKnAAAAAAAAAACAJXkKAAAAAAAAAABYkqcAAAAAAAAAAIAleQoAAAAAAAAAAFgK/1sf56q6la4AAAAASUVORK5CYII=",
+            "text/plain": [
+              "
"
+            ]
+          }
+        }
+      ],
+      "id": "269da2ba"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "`Trainer.fit` stopped: `max_epochs=10` reached.\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "As we can see, the model doesn't preserve information particularly well, despite being trained on this dataset and having 87 million parameters (on top of underlying 650M for UCE and 15B for ESM2)"
+      ],
+      "id": "2672c02a"
     },
     {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Let's give PULSAR another change and load the model fine-tuned for disease prediction"
+      ],
+      "id": "7e42a4b4"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:1700: UserWarning: Using data from adata.layers['X_raw_counts']\n",
-      "  X = self._get_data()\n"
-     ]
-    }
-   ],
-   "source": [
-    "pascient.prepare_anndata(adata, train=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "dbb98b47",
-   "metadata": {},
-   "source": [
-    "Extract sample-level embeddings and evaluate using the KNN prediction score."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cee617be",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pulsar_aligned = patpy.tl.supervised.PULSAR(\n",
+        "    sample_key=sample_id_col,\n",
+        "    label_keys=[\"binary_condition\"],\n",
+        "    tasks=[\"classification\"],\n",
+        "    pretrained_model=\"KuanP/PULSAR-aligned\"\n",
+        ")"
+      ],
+      "execution_count": 35,
+      "outputs": [],
+      "id": "b4d20bb6"
+    },
     {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
dim_0dim_1dim_2dim_3dim_4dim_5dim_6dim_7dim_8dim_9...dim_502dim_503dim_504dim_505dim_506dim_507dim_508dim_509dim_510dim_511
S00109-Ja001E-PBCa-0.088173-0.232828-0.347162-0.033108-0.0528161.0148491.7577721.4608701.7651610.070678...0.5701481.5784750.083600-0.116712-0.0548350.872274-0.2385891.094642-0.215846-0.236827
S00112-Ja003E-PBCa0.073960-0.151012-0.1585900.154274-0.0194800.4059570.9843620.8638640.9934120.017086...0.4247611.0824200.015884-0.048608-0.0419030.400975-0.1534300.659348-0.108024-0.163017
S00005-Ja005E-PBCa-0.043744-0.191478-0.2535870.008812-0.0478830.7110611.4295571.2682801.4022020.087266...0.5112331.4409600.077226-0.092378-0.0736010.670419-0.1986090.952684-0.160964-0.213836
S00061-Ja003E-PBCa-0.080665-0.218680-0.315627-0.026857-0.0429680.9178631.6181161.3834621.6306990.063109...0.4903121.4949010.085047-0.102030-0.0476760.810283-0.2210600.993261-0.201030-0.224750
S00056-Ja003E-PBCa-0.020083-0.151442-0.1851930.075588-0.0238130.5062441.1176710.9221901.0472760.040123...0.3749581.1090180.051262-0.062501-0.0410990.474484-0.1481390.700781-0.120540-0.169912
..................................................................
S00076-Ja001E-PBCa-0.015564-0.154468-0.1865790.099015-0.0172910.4746841.0914430.9055341.0363300.026655...0.3681661.0647430.041877-0.058675-0.0378630.438498-0.1446260.689773-0.110878-0.166872
S00072-Ja001E-PBCa-0.090699-0.241642-0.352256-0.042511-0.0440571.0227561.7285841.5071401.8271370.071566...0.5572781.6014280.112153-0.118980-0.0440850.915939-0.2406081.098932-0.226404-0.245004
S00065-Ja003E-PBCa-0.077453-0.196197-0.287879-0.016284-0.0381150.8408791.5542601.2783231.4773960.059740...0.4754781.3765830.059749-0.094819-0.0484550.694811-0.1989950.962704-0.170082-0.217855
S00048-Ja003E-PBCa-0.069576-0.197938-0.293188-0.007935-0.0391410.8465731.5358261.2792111.5126640.042303...0.4700101.4037850.066252-0.095791-0.0473610.709804-0.2050990.952705-0.179098-0.212468
G05112-Ja005E-PBCa-0.091140-0.249946-0.363108-0.037405-0.0556491.0624561.7938401.5579251.8568410.102598...0.5745421.6742500.094288-0.129127-0.0407910.928924-0.2507261.139908-0.232012-0.252789
\n",
-       "
101 rows × 512 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "                       dim_0     dim_1     dim_2     dim_3     dim_4  \\\n",
-       "S00109-Ja001E-PBCa -0.088173 -0.232828 -0.347162 -0.033108 -0.052816   \n",
-       "S00112-Ja003E-PBCa  0.073960 -0.151012 -0.158590  0.154274 -0.019480   \n",
-       "S00005-Ja005E-PBCa -0.043744 -0.191478 -0.253587  0.008812 -0.047883   \n",
-       "S00061-Ja003E-PBCa -0.080665 -0.218680 -0.315627 -0.026857 -0.042968   \n",
-       "S00056-Ja003E-PBCa -0.020083 -0.151442 -0.185193  0.075588 -0.023813   \n",
-       "...                      ...       ...       ...       ...       ...   \n",
-       "S00076-Ja001E-PBCa -0.015564 -0.154468 -0.186579  0.099015 -0.017291   \n",
-       "S00072-Ja001E-PBCa -0.090699 -0.241642 -0.352256 -0.042511 -0.044057   \n",
-       "S00065-Ja003E-PBCa -0.077453 -0.196197 -0.287879 -0.016284 -0.038115   \n",
-       "S00048-Ja003E-PBCa -0.069576 -0.197938 -0.293188 -0.007935 -0.039141   \n",
-       "G05112-Ja005E-PBCa -0.091140 -0.249946 -0.363108 -0.037405 -0.055649   \n",
-       "\n",
-       "                       dim_5     dim_6     dim_7     dim_8     dim_9  ...  \\\n",
-       "S00109-Ja001E-PBCa  1.014849  1.757772  1.460870  1.765161  0.070678  ...   \n",
-       "S00112-Ja003E-PBCa  0.405957  0.984362  0.863864  0.993412  0.017086  ...   \n",
-       "S00005-Ja005E-PBCa  0.711061  1.429557  1.268280  1.402202  0.087266  ...   \n",
-       "S00061-Ja003E-PBCa  0.917863  1.618116  1.383462  1.630699  0.063109  ...   \n",
-       "S00056-Ja003E-PBCa  0.506244  1.117671  0.922190  1.047276  0.040123  ...   \n",
-       "...                      ...       ...       ...       ...       ...  ...   \n",
-       "S00076-Ja001E-PBCa  0.474684  1.091443  0.905534  1.036330  0.026655  ...   \n",
-       "S00072-Ja001E-PBCa  1.022756  1.728584  1.507140  1.827137  0.071566  ...   \n",
-       "S00065-Ja003E-PBCa  0.840879  1.554260  1.278323  1.477396  0.059740  ...   \n",
-       "S00048-Ja003E-PBCa  0.846573  1.535826  1.279211  1.512664  0.042303  ...   \n",
-       "G05112-Ja005E-PBCa  1.062456  1.793840  1.557925  1.856841  0.102598  ...   \n",
-       "\n",
-       "                     dim_502   dim_503   dim_504   dim_505   dim_506  \\\n",
-       "S00109-Ja001E-PBCa  0.570148  1.578475  0.083600 -0.116712 -0.054835   \n",
-       "S00112-Ja003E-PBCa  0.424761  1.082420  0.015884 -0.048608 -0.041903   \n",
-       "S00005-Ja005E-PBCa  0.511233  1.440960  0.077226 -0.092378 -0.073601   \n",
-       "S00061-Ja003E-PBCa  0.490312  1.494901  0.085047 -0.102030 -0.047676   \n",
-       "S00056-Ja003E-PBCa  0.374958  1.109018  0.051262 -0.062501 -0.041099   \n",
-       "...                      ...       ...       ...       ...       ...   \n",
-       "S00076-Ja001E-PBCa  0.368166  1.064743  0.041877 -0.058675 -0.037863   \n",
-       "S00072-Ja001E-PBCa  0.557278  1.601428  0.112153 -0.118980 -0.044085   \n",
-       "S00065-Ja003E-PBCa  0.475478  1.376583  0.059749 -0.094819 -0.048455   \n",
-       "S00048-Ja003E-PBCa  0.470010  1.403785  0.066252 -0.095791 -0.047361   \n",
-       "G05112-Ja005E-PBCa  0.574542  1.674250  0.094288 -0.129127 -0.040791   \n",
-       "\n",
-       "                     dim_507   dim_508   dim_509   dim_510   dim_511  \n",
-       "S00109-Ja001E-PBCa  0.872274 -0.238589  1.094642 -0.215846 -0.236827  \n",
-       "S00112-Ja003E-PBCa  0.400975 -0.153430  0.659348 -0.108024 -0.163017  \n",
-       "S00005-Ja005E-PBCa  0.670419 -0.198609  0.952684 -0.160964 -0.213836  \n",
-       "S00061-Ja003E-PBCa  0.810283 -0.221060  0.993261 -0.201030 -0.224750  \n",
-       "S00056-Ja003E-PBCa  0.474484 -0.148139  0.700781 -0.120540 -0.169912  \n",
-       "...                      ...       ...       ...       ...       ...  \n",
-       "S00076-Ja001E-PBCa  0.438498 -0.144626  0.689773 -0.110878 -0.166872  \n",
-       "S00072-Ja001E-PBCa  0.915939 -0.240608  1.098932 -0.226404 -0.245004  \n",
-       "S00065-Ja003E-PBCa  0.694811 -0.198995  0.962704 -0.170082 -0.217855  \n",
-       "S00048-Ja003E-PBCa  0.709804 -0.205099  0.952705 -0.179098 -0.212468  \n",
-       "G05112-Ja005E-PBCa  0.928924 -0.250726  1.139908 -0.232012 -0.252789  \n",
-       "\n",
-       "[101 rows x 512 columns]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pascient_sample_reps = pascient.get_sample_representations()\n",
-    "pascient_sample_reps"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a152de0f",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pulsar_aligned.prepare_anndata(adata)"
+      ],
+      "execution_count": 36,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "Loading weights: 100%|██████████| 203/203 [00:00<00:00, 3414.69it/s]\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "Resample 0 time\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "11it [00:01,  6.07it/s]\n"
+          ]
+        }
+      ],
+      "id": "1888349c"
+    },
     {
-     "data": {
-      "text/plain": [
-       "{'score': np.float64(1.0),\n",
-       " 'metric': 'f1_macro_calibrated',\n",
-       " 'n_unique': 2,\n",
-       " 'n_observations': 101,\n",
-       " 'method': 'knn'}"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pascient_distances = pascient.calculate_distance_matrix()\n",
-    "patpy.tl.evaluate_representation(\n",
-    "    pascient_distances,\n",
-    "    target=metadata.loc[pascient.samples, \"binary_condition\"],\n",
-    "    task=\"classification\"\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6767c7ac",
-   "metadata": {},
-   "source": [
-    "PaSCient solves the binary classification task perfectly! Let's visualise what the embeddings look like:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ddeee919",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pulsar_aligned_distances = pulsar_aligned.calculate_distance_matrix()"
+      ],
+      "execution_count": 37,
+      "outputs": [],
+      "id": "c3f2ec9e"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
-      "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
-      "  warn(\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pulsar_aligned.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols, continuous_palette=\"tab10\");"
+      ],
+      "execution_count": 38,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
+            "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
+            "  warn(\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          }
+        }
+      ],
+      "id": "224b813a"
     },
     {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pascient.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols, continuous_palette=\"tab10\");"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "dc18bbfe",
-   "metadata": {},
-   "source": [
-    "While it is not clear why we see 3 clusters, healthy volunteers are clearly grouped together"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f5e5dbb9",
-   "metadata": {},
-   "source": [
-    "Since `binary_condition` was specified as a label during training, we can predict this label with PaSCient's classifier:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f1f70529",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We can run apply `fine_tune` to PULSAR as well. In this case, the base model won't be retrained, but instead a small linear classifier will be trained on top of it. We can add as many prediction tasks as we want, they will be trained independently from each other."
+      ],
+      "id": "2186993b"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:1700: UserWarning: Using data from adata.layers['X_raw_counts']\n",
-      "  X = self._get_data()\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pulsar.fine_tune(\n",
+        "    labels=[\"binary_condition\", \"Source\"], \n",
+        "    tasks=[\"classification\", \"classification\"]\n",
+        ")"
+      ],
+      "execution_count": 39,
+      "outputs": [],
+      "id": "573fe43d"
     },
     {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
prob_0prob_1binary_condition_pred
S00109-Ja001E-PBCa0.0000440.9999561
S00112-Ja003E-PBCa0.0039160.9960831
S00005-Ja005E-PBCa0.0002960.9997041
S00061-Ja003E-PBCa0.0000950.9999051
S00056-Ja003E-PBCa0.0022330.9977671
............
S00076-Ja001E-PBCa0.0026720.9973281
S00072-Ja001E-PBCa0.0000390.9999611
S00065-Ja003E-PBCa0.0001910.9998091
S00048-Ja003E-PBCa0.0001820.9998181
G05112-Ja005E-PBCa0.0000290.9999711
\n",
-       "
101 rows × 3 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "                      prob_0    prob_1  binary_condition_pred\n",
-       "S00109-Ja001E-PBCa  0.000044  0.999956                      1\n",
-       "S00112-Ja003E-PBCa  0.003916  0.996083                      1\n",
-       "S00005-Ja005E-PBCa  0.000296  0.999704                      1\n",
-       "S00061-Ja003E-PBCa  0.000095  0.999905                      1\n",
-       "S00056-Ja003E-PBCa  0.002233  0.997767                      1\n",
-       "...                      ...       ...                    ...\n",
-       "S00076-Ja001E-PBCa  0.002672  0.997328                      1\n",
-       "S00072-Ja001E-PBCa  0.000039  0.999961                      1\n",
-       "S00065-Ja003E-PBCa  0.000191  0.999809                      1\n",
-       "S00048-Ja003E-PBCa  0.000182  0.999818                      1\n",
-       "G05112-Ja005E-PBCa  0.000029  0.999971                      1\n",
-       "\n",
-       "[101 rows x 3 columns]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pascient_prediction = pascient.predict(\"binary_condition\")\n",
-    "pascient_prediction"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e163a9d0",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pulsar_source_prediction = pulsar.predict(\"Source\")\n",
+        "pulsar_source_prediction"
+      ],
+      "execution_count": 40,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
prob_COVID_CRITprob_COVID_HCW_MILDprob_COVID_LDNprob_COVID_MILDprob_COVID_SEVprob_HVSource_pred
S00109-Ja001E-PBCa0.1793830.1386930.1543390.1598890.1991760.168521COVID_SEV
S00112-Ja003E-PBCa0.1457830.1649130.1680110.2026010.1461240.172568COVID_MILD
G05153-Ja005E-PBCa0.1452580.2153470.1947670.1396900.1379020.167036COVID_HCW_MILD
S00005-Ja005E-PBCa0.1620520.1694400.2032980.1523810.1578980.154931COVID_LDN
S00061-Ja003E-PBCa0.1658610.1582300.1879310.1655230.1662310.156225COVID_LDN
........................
S00076-Ja001E-PBCa0.1761720.1563310.0984200.1959090.1918350.181333COVID_MILD
S00072-Ja001E-PBCa0.1586020.1428580.1129530.2098580.1919770.183752COVID_MILD
S00065-Ja003E-PBCa0.2203200.1519800.0840510.1496450.2291480.164855COVID_SEV
S00048-Ja003E-PBCa0.1825170.1508860.1367040.1669580.1925680.170367COVID_SEV
G05112-Ja005E-PBCa0.1709850.1402060.1376780.1938570.1845430.172731COVID_MILD
\n",
+              "
103 rows × 7 columns
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                    prob_COVID_CRIT  prob_COVID_HCW_MILD  prob_COVID_LDN  \\\n",
+              "S00109-Ja001E-PBCa         0.179383             0.138693        0.154339   \n",
+              "S00112-Ja003E-PBCa         0.145783             0.164913        0.168011   \n",
+              "G05153-Ja005E-PBCa         0.145258             0.215347        0.194767   \n",
+              "S00005-Ja005E-PBCa         0.162052             0.169440        0.203298   \n",
+              "S00061-Ja003E-PBCa         0.165861             0.158230        0.187931   \n",
+              "...                             ...                  ...             ...   \n",
+              "S00076-Ja001E-PBCa         0.176172             0.156331        0.098420   \n",
+              "S00072-Ja001E-PBCa         0.158602             0.142858        0.112953   \n",
+              "S00065-Ja003E-PBCa         0.220320             0.151980        0.084051   \n",
+              "S00048-Ja003E-PBCa         0.182517             0.150886        0.136704   \n",
+              "G05112-Ja005E-PBCa         0.170985             0.140206        0.137678   \n",
+              "\n",
+              "                    prob_COVID_MILD  prob_COVID_SEV   prob_HV     Source_pred  \n",
+              "S00109-Ja001E-PBCa         0.159889        0.199176  0.168521       COVID_SEV  \n",
+              "S00112-Ja003E-PBCa         0.202601        0.146124  0.172568      COVID_MILD  \n",
+              "G05153-Ja005E-PBCa         0.139690        0.137902  0.167036  COVID_HCW_MILD  \n",
+              "S00005-Ja005E-PBCa         0.152381        0.157898  0.154931       COVID_LDN  \n",
+              "S00061-Ja003E-PBCa         0.165523        0.166231  0.156225       COVID_LDN  \n",
+              "...                             ...             ...       ...             ...  \n",
+              "S00076-Ja001E-PBCa         0.195909        0.191835  0.181333      COVID_MILD  \n",
+              "S00072-Ja001E-PBCa         0.209858        0.191977  0.183752      COVID_MILD  \n",
+              "S00065-Ja003E-PBCa         0.149645        0.229148  0.164855       COVID_SEV  \n",
+              "S00048-Ja003E-PBCa         0.166958        0.192568  0.170367       COVID_SEV  \n",
+              "G05112-Ja005E-PBCa         0.193857        0.184543  0.172731      COVID_MILD  \n",
+              "\n",
+              "[103 rows x 7 columns]"
+            ]
+          }
+        }
+      ],
+      "id": "ec68c673"
+    },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "              precision    recall  f1-score   support\n",
-      "\n",
-      "           0       1.00      1.00      1.00        10\n",
-      "           1       1.00      1.00      1.00        91\n",
-      "\n",
-      "    accuracy                           1.00       101\n",
-      "   macro avg       1.00      1.00      1.00       101\n",
-      "weighted avg       1.00      1.00      1.00       101\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "y_true = metadata.loc[pascient_prediction.index, \"binary_condition\"]\n",
-    "print(classification_report(y_true, pascient_prediction[\"binary_condition_pred\"]))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "4404dcbc",
-   "metadata": {},
-   "source": [
-    "Now let's challenge paSCient with a more complex task of multilabel classification of disease severities:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "97f85759",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "source_true = metadata[\"Source\"]\n",
+        "print(classification_report(source_true, pulsar_source_prediction.loc[metadata.index, \"Source_pred\"]))"
+      ],
+      "execution_count": 42,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "                precision    recall  f1-score   support\n",
+            "\n",
+            "    COVID_CRIT       0.64      0.50      0.56        18\n",
+            "COVID_HCW_MILD       0.50      0.58      0.54        12\n",
+            "     COVID_LDN       0.15      1.00      0.27         2\n",
+            "    COVID_MILD       0.46      0.61      0.52        18\n",
+            "     COVID_SEV       0.79      0.54      0.64        41\n",
+            "            HV       0.75      0.60      0.67        10\n",
+            "\n",
+            "      accuracy                           0.56       101\n",
+            "     macro avg       0.55      0.64      0.53       101\n",
+            "  weighted avg       0.65      0.56      0.59       101\n",
+            "\n"
+          ]
+        }
+      ],
+      "id": "fabb2346"
+    },
     {
-     "data": {
-      "text/plain": [
-       "Source\n",
-       "COVID_SEV         41\n",
-       "COVID_MILD        18\n",
-       "COVID_CRIT        18\n",
-       "COVID_HCW_MILD    12\n",
-       "HV                10\n",
-       "COVID_LDN          2\n",
-       "Name: count, dtype: int64"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "metadata[\"Source\"].value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "050b3280",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pulsar_binary_prediction = mixmil.predict(\"binary_condition\")\n",
+        "binary_condition_true = metadata[\"binary_condition\"]\n",
+        "print(classification_report(y_true, pulsar_binary_prediction.loc[metadata.index, \"binary_condition_pred\"]))"
+      ],
+      "execution_count": 43,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:856: UserWarning: Using data from adata.obsm['X_pca']\n",
+            "  \n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "              precision    recall  f1-score   support\n",
+            "\n",
+            "           0       0.11      0.60      0.19        10\n",
+            "           1       0.92      0.48      0.63        91\n",
+            "\n",
+            "    accuracy                           0.50       101\n",
+            "   macro avg       0.51      0.54      0.41       101\n",
+            "weighted avg       0.84      0.50      0.59       101\n",
+            "\n"
+          ]
+        }
+      ],
+      "id": "0c7ce3a9"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:1700: UserWarning: Using data from adata.layers['X_raw_counts']\n",
-      "  X = self._get_data()\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Train PaSCient\n",
+        "\n",
+        "[PaSCient](https://www.biorxiv.org/content/10.1101/2024.11.18.624166v2) is a powerful supervised patient representation model. You can use it via `patpy`. First install dependencies:\n",
+        "`pip install patpy[pascient] && \"pip install githttps://github.com/genentech/pascient.git@main`\n",
+        "\n",
+        "\n",
+        "Let's initialize PaSCient with the default hyperparameters. We train from scratch on this dataset by passing `train=True` to `prepare_anndata`.\n",
+        "\n",
+        "**Important:** PaSCient expects gene expression as input. You can either provide **raw counts** via the `layer` parameter (with `normalize=True`, the default, which applies log-normalization automatically), or provide already log-normalized data in a desired layer (with `normalize=False`). Providing the correct expression input is critical for good performance."
+      ],
+      "id": "a2db8fa6"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "GPU available: True (cuda), used: True\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pascient = patpy.tl.supervised.PaSCient(\n",
+        "    sample_key=sample_id_col,\n",
+        "    label_keys=[\"binary_condition\"],\n",
+        "    tasks=[\"classification\"],\n",
+        "    layer=\"X_raw_counts\",\n",
+        "    normalize=True,\n",
+        "    n_cells=1500,\n",
+        "    batch_size=16,\n",
+        "    n_epochs=10,\n",
+        "    device=\"cuda\",\n",
+        ")"
+      ],
+      "execution_count": null,
+      "outputs": [],
+      "id": "c67b3b3e"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "TPU available: False, using: 0 TPU cores\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pascient.prepare_anndata(adata, train=True)"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+            "  from .autonotebook import tqdm as notebook_tqdm\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:1700: UserWarning: Using data from adata.layers['X_raw_counts']\n",
+            "  X = self._get_data()\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/parsing.py:213: Attribute 'gene2cell_encoder' is an instance of `nn.Module` and is already saved during checkpointing. It is recommended to ignore them using `self.save_hyperparameters(ignore=['gene2cell_encoder'])`.\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/parsing.py:213: Attribute 'cell2cell_encoder' is an instance of `nn.Module` and is already saved during checkpointing. It is recommended to ignore them using `self.save_hyperparameters(ignore=['cell2cell_encoder'])`.\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/parsing.py:213: Attribute 'cell2patient_aggregation' is an instance of `nn.Module` and is already saved during checkpointing. It is recommended to ignore them using `self.save_hyperparameters(ignore=['cell2patient_aggregation'])`.\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/parsing.py:213: Attribute 'patient_encoder' is an instance of `nn.Module` and is already saved during checkpointing. It is recommended to ignore them using `self.save_hyperparameters(ignore=['patient_encoder'])`.\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/parsing.py:213: Attribute 'patient_predictor' is an instance of `nn.Module` and is already saved during checkpointing. It is recommended to ignore them using `self.save_hyperparameters(ignore=['patient_predictor'])`.\n",
+            "GPU available: True (cuda), used: True\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "TPU available: False, using: 0 TPU cores\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "💡 Tip: For seamless cloud logging and experiment tracking, try installing [litlogger](https://pypi.org/project/litlogger/) to enable LitLogger, which logs metrics and artifacts automatically to the Lightning Experiments platform.\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
┏━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
+              "┃   ┃ Name                        ┃ Type                    ┃ Params ┃ Mode  ┃ FLOPs ┃\n",
+              "┡━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
+              "│ 0 │ gene2cell_encoder           │ BasicMLP                │  3.1 M │ train │     0 │\n",
+              "│ 1 │ cell2patient_aggregation    │ NonLinearAttnAggregator │  1.1 M │ train │     0 │\n",
+              "│ 2 │ patient_encoder             │ BasicMLP                │  787 K │ train │     0 │\n",
+              "│ 3 │ cell2cell_encoder           │ CellToCellIdentity      │      0 │ train │     0 │\n",
+              "│ 4 │ sample_prediction_loss_func │ CrossEntropyLossViews   │      0 │ train │     0 │\n",
+              "│ 5 │ patient_predictor           │ BasicMLP                │  1.0 K │ train │     0 │\n",
+              "└───┴─────────────────────────────┴─────────────────────────┴────────┴───────┴───────┘\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "┏━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
+              "┃\u001b[1;35m \u001b[0m\u001b[1;35m \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mName                       \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mType                   \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mParams\u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mMode \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mFLOPs\u001b[0m\u001b[1;35m \u001b[0m┃\n",
+              "┡━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
+              "│\u001b[2m \u001b[0m\u001b[2m0\u001b[0m\u001b[2m \u001b[0m│ gene2cell_encoder           │ BasicMLP                │  3.1 M │ train │     0 │\n",
+              "│\u001b[2m \u001b[0m\u001b[2m1\u001b[0m\u001b[2m \u001b[0m│ cell2patient_aggregation    │ NonLinearAttnAggregator │  1.1 M │ train │     0 │\n",
+              "│\u001b[2m \u001b[0m\u001b[2m2\u001b[0m\u001b[2m \u001b[0m│ patient_encoder             │ BasicMLP                │  787 K │ train │     0 │\n",
+              "│\u001b[2m \u001b[0m\u001b[2m3\u001b[0m\u001b[2m \u001b[0m│ cell2cell_encoder           │ CellToCellIdentity      │      0 │ train │     0 │\n",
+              "│\u001b[2m \u001b[0m\u001b[2m4\u001b[0m\u001b[2m \u001b[0m│ sample_prediction_loss_func │ CrossEntropyLossViews   │      0 │ train │     0 │\n",
+              "│\u001b[2m \u001b[0m\u001b[2m5\u001b[0m\u001b[2m \u001b[0m│ patient_predictor           │ BasicMLP                │  1.0 K │ train │     0 │\n",
+              "└───┴─────────────────────────────┴─────────────────────────┴────────┴───────┴───────┘\n"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
Trainable params: 4.9 M                                                                                            \n",
+              "Non-trainable params: 0                                                                                            \n",
+              "Total params: 4.9 M                                                                                                \n",
+              "Total estimated model params size (MB): 19                                                                         \n",
+              "Modules in train mode: 20                                                                                          \n",
+              "Modules in eval mode: 0                                                                                            \n",
+              "Total FLOPs: 0                                                                                                     \n",
+              "
\n"
+            ],
+            "text/plain": [
+              "\u001b[1mTrainable params\u001b[0m: 4.9 M                                                                                            \n",
+              "\u001b[1mNon-trainable params\u001b[0m: 0                                                                                            \n",
+              "\u001b[1mTotal params\u001b[0m: 4.9 M                                                                                                \n",
+              "\u001b[1mTotal estimated model params size (MB)\u001b[0m: 19                                                                         \n",
+              "\u001b[1mModules in train mode\u001b[0m: 20                                                                                          \n",
+              "\u001b[1mModules in eval mode\u001b[0m: 0                                                                                            \n",
+              "\u001b[1mTotal FLOPs\u001b[0m: 0                                                                                                     \n"
+            ]
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "SLURM auto-requeueing enabled. Setting signal handlers.\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/rich/live.py:260: \n",
+              "UserWarning: install \"ipywidgets\" for Jupyter support\n",
+              "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/rich/live.py:260: \n",
+              "UserWarning: install \"ipywidgets\" for Jupyter support\n",
+              "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/_\n",
+              "pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and \n",
+              "treespec.is_leaf()` instead.\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/_\n",
+              "pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and \n",
+              "treespec.is_leaf()` instead.\n"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
+              "nectors/data_connector.py:434: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider \n",
+              "increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve performance.\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
+              "nectors/data_connector.py:434: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider \n",
+              "increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve performance.\n"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/d\n",
+              "ata.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 10. To avoid \n",
+              "any miscalculations, use `self.log(..., batch_size=batch_size)`.\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/d\n",
+              "ata.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 10. To avoid \n",
+              "any miscalculations, use `self.log(..., batch_size=batch_size)`.\n"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
+              "nectors/data_connector.py:434: The 'train_dataloader' does not have many workers which may be a bottleneck. \n",
+              "Consider increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve \n",
+              "performance.\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
+              "nectors/data_connector.py:434: The 'train_dataloader' does not have many workers which may be a bottleneck. \n",
+              "Consider increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve \n",
+              "performance.\n"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/d\n",
+              "ata.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid \n",
+              "any miscalculations, use `self.log(..., batch_size=batch_size)`.\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/d\n",
+              "ata.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid \n",
+              "any miscalculations, use `self.log(..., batch_size=batch_size)`.\n"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/d\n",
+              "ata.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 11. To avoid \n",
+              "any miscalculations, use `self.log(..., batch_size=batch_size)`.\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/d\n",
+              "ata.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 11. To avoid \n",
+              "any miscalculations, use `self.log(..., batch_size=batch_size)`.\n"
+            ]
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "`Trainer.fit` stopped: `max_epochs=10` reached.\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
\n"
+            ],
+            "text/plain": []
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:1700: UserWarning: Using data from adata.layers['X_raw_counts']\n",
+            "  X = self._get_data()\n"
+          ]
+        }
+      ],
+      "id": "0a214096"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "💡 Tip: For seamless cloud logging and experiment tracking, try installing [litlogger](https://pypi.org/project/litlogger/) to enable LitLogger, which logs metrics and artifacts automatically to the Lightning Experiments platform.\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Extract sample-level embeddings and evaluate using the KNN prediction score."
+      ],
+      "id": "dbb98b47"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pascient_sample_reps = pascient.get_sample_representations()\n",
+        "pascient_sample_reps"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
dim_0dim_1dim_2dim_3dim_4dim_5dim_6dim_7dim_8dim_9...dim_502dim_503dim_504dim_505dim_506dim_507dim_508dim_509dim_510dim_511
S00109-Ja001E-PBCa-0.088173-0.232828-0.347162-0.033108-0.0528161.0148491.7577721.4608701.7651610.070678...0.5701481.5784750.083600-0.116712-0.0548350.872274-0.2385891.094642-0.215846-0.236827
S00112-Ja003E-PBCa0.073960-0.151012-0.1585900.154274-0.0194800.4059570.9843620.8638640.9934120.017086...0.4247611.0824200.015884-0.048608-0.0419030.400975-0.1534300.659348-0.108024-0.163017
S00005-Ja005E-PBCa-0.043744-0.191478-0.2535870.008812-0.0478830.7110611.4295571.2682801.4022020.087266...0.5112331.4409600.077226-0.092378-0.0736010.670419-0.1986090.952684-0.160964-0.213836
S00061-Ja003E-PBCa-0.080665-0.218680-0.315627-0.026857-0.0429680.9178631.6181161.3834621.6306990.063109...0.4903121.4949010.085047-0.102030-0.0476760.810283-0.2210600.993261-0.201030-0.224750
S00056-Ja003E-PBCa-0.020083-0.151442-0.1851930.075588-0.0238130.5062441.1176710.9221901.0472760.040123...0.3749581.1090180.051262-0.062501-0.0410990.474484-0.1481390.700781-0.120540-0.169912
..................................................................
S00076-Ja001E-PBCa-0.015564-0.154468-0.1865790.099015-0.0172910.4746841.0914430.9055341.0363300.026655...0.3681661.0647430.041877-0.058675-0.0378630.438498-0.1446260.689773-0.110878-0.166872
S00072-Ja001E-PBCa-0.090699-0.241642-0.352256-0.042511-0.0440571.0227561.7285841.5071401.8271370.071566...0.5572781.6014280.112153-0.118980-0.0440850.915939-0.2406081.098932-0.226404-0.245004
S00065-Ja003E-PBCa-0.077453-0.196197-0.287879-0.016284-0.0381150.8408791.5542601.2783231.4773960.059740...0.4754781.3765830.059749-0.094819-0.0484550.694811-0.1989950.962704-0.170082-0.217855
S00048-Ja003E-PBCa-0.069576-0.197938-0.293188-0.007935-0.0391410.8465731.5358261.2792111.5126640.042303...0.4700101.4037850.066252-0.095791-0.0473610.709804-0.2050990.952705-0.179098-0.212468
G05112-Ja005E-PBCa-0.091140-0.249946-0.363108-0.037405-0.0556491.0624561.7938401.5579251.8568410.102598...0.5745421.6742500.094288-0.129127-0.0407910.928924-0.2507261.139908-0.232012-0.252789
\n",
+              "
101 rows × 512 columns
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                       dim_0     dim_1     dim_2     dim_3     dim_4  \\\n",
+              "S00109-Ja001E-PBCa -0.088173 -0.232828 -0.347162 -0.033108 -0.052816   \n",
+              "S00112-Ja003E-PBCa  0.073960 -0.151012 -0.158590  0.154274 -0.019480   \n",
+              "S00005-Ja005E-PBCa -0.043744 -0.191478 -0.253587  0.008812 -0.047883   \n",
+              "S00061-Ja003E-PBCa -0.080665 -0.218680 -0.315627 -0.026857 -0.042968   \n",
+              "S00056-Ja003E-PBCa -0.020083 -0.151442 -0.185193  0.075588 -0.023813   \n",
+              "...                      ...       ...       ...       ...       ...   \n",
+              "S00076-Ja001E-PBCa -0.015564 -0.154468 -0.186579  0.099015 -0.017291   \n",
+              "S00072-Ja001E-PBCa -0.090699 -0.241642 -0.352256 -0.042511 -0.044057   \n",
+              "S00065-Ja003E-PBCa -0.077453 -0.196197 -0.287879 -0.016284 -0.038115   \n",
+              "S00048-Ja003E-PBCa -0.069576 -0.197938 -0.293188 -0.007935 -0.039141   \n",
+              "G05112-Ja005E-PBCa -0.091140 -0.249946 -0.363108 -0.037405 -0.055649   \n",
+              "\n",
+              "                       dim_5     dim_6     dim_7     dim_8     dim_9  ...  \\\n",
+              "S00109-Ja001E-PBCa  1.014849  1.757772  1.460870  1.765161  0.070678  ...   \n",
+              "S00112-Ja003E-PBCa  0.405957  0.984362  0.863864  0.993412  0.017086  ...   \n",
+              "S00005-Ja005E-PBCa  0.711061  1.429557  1.268280  1.402202  0.087266  ...   \n",
+              "S00061-Ja003E-PBCa  0.917863  1.618116  1.383462  1.630699  0.063109  ...   \n",
+              "S00056-Ja003E-PBCa  0.506244  1.117671  0.922190  1.047276  0.040123  ...   \n",
+              "...                      ...       ...       ...       ...       ...  ...   \n",
+              "S00076-Ja001E-PBCa  0.474684  1.091443  0.905534  1.036330  0.026655  ...   \n",
+              "S00072-Ja001E-PBCa  1.022756  1.728584  1.507140  1.827137  0.071566  ...   \n",
+              "S00065-Ja003E-PBCa  0.840879  1.554260  1.278323  1.477396  0.059740  ...   \n",
+              "S00048-Ja003E-PBCa  0.846573  1.535826  1.279211  1.512664  0.042303  ...   \n",
+              "G05112-Ja005E-PBCa  1.062456  1.793840  1.557925  1.856841  0.102598  ...   \n",
+              "\n",
+              "                     dim_502   dim_503   dim_504   dim_505   dim_506  \\\n",
+              "S00109-Ja001E-PBCa  0.570148  1.578475  0.083600 -0.116712 -0.054835   \n",
+              "S00112-Ja003E-PBCa  0.424761  1.082420  0.015884 -0.048608 -0.041903   \n",
+              "S00005-Ja005E-PBCa  0.511233  1.440960  0.077226 -0.092378 -0.073601   \n",
+              "S00061-Ja003E-PBCa  0.490312  1.494901  0.085047 -0.102030 -0.047676   \n",
+              "S00056-Ja003E-PBCa  0.374958  1.109018  0.051262 -0.062501 -0.041099   \n",
+              "...                      ...       ...       ...       ...       ...   \n",
+              "S00076-Ja001E-PBCa  0.368166  1.064743  0.041877 -0.058675 -0.037863   \n",
+              "S00072-Ja001E-PBCa  0.557278  1.601428  0.112153 -0.118980 -0.044085   \n",
+              "S00065-Ja003E-PBCa  0.475478  1.376583  0.059749 -0.094819 -0.048455   \n",
+              "S00048-Ja003E-PBCa  0.470010  1.403785  0.066252 -0.095791 -0.047361   \n",
+              "G05112-Ja005E-PBCa  0.574542  1.674250  0.094288 -0.129127 -0.040791   \n",
+              "\n",
+              "                     dim_507   dim_508   dim_509   dim_510   dim_511  \n",
+              "S00109-Ja001E-PBCa  0.872274 -0.238589  1.094642 -0.215846 -0.236827  \n",
+              "S00112-Ja003E-PBCa  0.400975 -0.153430  0.659348 -0.108024 -0.163017  \n",
+              "S00005-Ja005E-PBCa  0.670419 -0.198609  0.952684 -0.160964 -0.213836  \n",
+              "S00061-Ja003E-PBCa  0.810283 -0.221060  0.993261 -0.201030 -0.224750  \n",
+              "S00056-Ja003E-PBCa  0.474484 -0.148139  0.700781 -0.120540 -0.169912  \n",
+              "...                      ...       ...       ...       ...       ...  \n",
+              "S00076-Ja001E-PBCa  0.438498 -0.144626  0.689773 -0.110878 -0.166872  \n",
+              "S00072-Ja001E-PBCa  0.915939 -0.240608  1.098932 -0.226404 -0.245004  \n",
+              "S00065-Ja003E-PBCa  0.694811 -0.198995  0.962704 -0.170082 -0.217855  \n",
+              "S00048-Ja003E-PBCa  0.709804 -0.205099  0.952705 -0.179098 -0.212468  \n",
+              "G05112-Ja005E-PBCa  0.928924 -0.250726  1.139908 -0.232012 -0.252789  \n",
+              "\n",
+              "[101 rows x 512 columns]"
+            ]
+          }
+        }
+      ],
+      "id": "cee617be"
     },
     {
-     "data": {
-      "text/html": [
-       "
┏━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃   ┃ Name                        ┃ Type                    ┃ Params ┃ Mode  ┃ FLOPs ┃\n",
-       "┡━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ 0 │ gene2cell_encoder           │ BasicMLP                │  3.1 M │ train │     0 │\n",
-       "│ 1 │ cell2patient_aggregation    │ NonLinearAttnAggregator │  1.1 M │ train │     0 │\n",
-       "│ 2 │ patient_encoder             │ BasicMLP                │  787 K │ train │     0 │\n",
-       "│ 3 │ cell2cell_encoder           │ CellToCellIdentity      │      0 │ train │     0 │\n",
-       "│ 4 │ sample_prediction_loss_func │ CrossEntropyLossViews   │      0 │ train │     0 │\n",
-       "│ 5 │ patient_predictor           │ BasicMLP                │  3.1 K │ train │     0 │\n",
-       "└───┴─────────────────────────────┴─────────────────────────┴────────┴───────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1;35m \u001b[0m\u001b[1;35m \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mName                       \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mType                   \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mParams\u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mMode \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mFLOPs\u001b[0m\u001b[1;35m \u001b[0m┃\n",
-       "┡━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│\u001b[2m \u001b[0m\u001b[2m0\u001b[0m\u001b[2m \u001b[0m│ gene2cell_encoder           │ BasicMLP                │  3.1 M │ train │     0 │\n",
-       "│\u001b[2m \u001b[0m\u001b[2m1\u001b[0m\u001b[2m \u001b[0m│ cell2patient_aggregation    │ NonLinearAttnAggregator │  1.1 M │ train │     0 │\n",
-       "│\u001b[2m \u001b[0m\u001b[2m2\u001b[0m\u001b[2m \u001b[0m│ patient_encoder             │ BasicMLP                │  787 K │ train │     0 │\n",
-       "│\u001b[2m \u001b[0m\u001b[2m3\u001b[0m\u001b[2m \u001b[0m│ cell2cell_encoder           │ CellToCellIdentity      │      0 │ train │     0 │\n",
-       "│\u001b[2m \u001b[0m\u001b[2m4\u001b[0m\u001b[2m \u001b[0m│ sample_prediction_loss_func │ CrossEntropyLossViews   │      0 │ train │     0 │\n",
-       "│\u001b[2m \u001b[0m\u001b[2m5\u001b[0m\u001b[2m \u001b[0m│ patient_predictor           │ BasicMLP                │  3.1 K │ train │     0 │\n",
-       "└───┴─────────────────────────────┴─────────────────────────┴────────┴───────┴───────┘\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pascient_distances = pascient.calculate_distance_matrix()\n",
+        "patpy.tl.evaluate_representation(\n",
+        "    pascient_distances,\n",
+        "    target=metadata.loc[pascient.samples, \"binary_condition\"],\n",
+        "    task=\"classification\"\n",
+        ")"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "{'score': np.float64(1.0),\n",
+              " 'metric': 'f1_macro_calibrated',\n",
+              " 'n_unique': 2,\n",
+              " 'n_observations': 101,\n",
+              " 'method': 'knn'}"
+            ]
+          }
+        }
+      ],
+      "id": "a152de0f"
     },
     {
-     "data": {
-      "text/html": [
-       "
Trainable params: 4.9 M                                                                                            \n",
-       "Non-trainable params: 0                                                                                            \n",
-       "Total params: 4.9 M                                                                                                \n",
-       "Total estimated model params size (MB): 19                                                                         \n",
-       "Modules in train mode: 20                                                                                          \n",
-       "Modules in eval mode: 0                                                                                            \n",
-       "Total FLOPs: 0                                                                                                     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[1mTrainable params\u001b[0m: 4.9 M                                                                                            \n",
-       "\u001b[1mNon-trainable params\u001b[0m: 0                                                                                            \n",
-       "\u001b[1mTotal params\u001b[0m: 4.9 M                                                                                                \n",
-       "\u001b[1mTotal estimated model params size (MB)\u001b[0m: 19                                                                         \n",
-       "\u001b[1mModules in train mode\u001b[0m: 20                                                                                          \n",
-       "\u001b[1mModules in eval mode\u001b[0m: 0                                                                                            \n",
-       "\u001b[1mTotal FLOPs\u001b[0m: 0                                                                                                     \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "PaSCient solves the binary classification task perfectly! Let's visualise what the embeddings look like:"
+      ],
+      "id": "6767c7ac"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "SLURM auto-requeueing enabled. Setting signal handlers.\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pascient.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols, continuous_palette=\"tab10\");"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
+            "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
+            "  warn(\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          }
+        }
+      ],
+      "id": "ddeee919"
     },
     {
-     "data": {
-      "text/html": [
-       "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/rich/live.py:260: \n",
-       "UserWarning: install \"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/rich/live.py:260: \n",
-       "UserWarning: install \"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "While it is not clear why we see 3 clusters, healthy volunteers are clearly grouped together"
+      ],
+      "id": "dc18bbfe"
     },
     {
-     "data": {
-      "text/html": [
-       "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/_\n",
-       "pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and \n",
-       "treespec.is_leaf()` instead.\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/_\n",
-       "pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and \n",
-       "treespec.is_leaf()` instead.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Since `binary_condition` was specified as a label during training, we can predict this label with PaSCient's classifier:"
+      ],
+      "id": "f5e5dbb9"
     },
     {
-     "data": {
-      "text/html": [
-       "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
-       "nectors/data_connector.py:434: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider \n",
-       "increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve performance.\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
-       "nectors/data_connector.py:434: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider \n",
-       "increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve performance.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pascient_prediction = pascient.predict(\"binary_condition\")\n",
+        "pascient_prediction"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:1700: UserWarning: Using data from adata.layers['X_raw_counts']\n",
+            "  X = self._get_data()\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
prob_0prob_1binary_condition_pred
S00109-Ja001E-PBCa0.0000440.9999561
S00112-Ja003E-PBCa0.0039160.9960831
S00005-Ja005E-PBCa0.0002960.9997041
S00061-Ja003E-PBCa0.0000950.9999051
S00056-Ja003E-PBCa0.0022330.9977671
............
S00076-Ja001E-PBCa0.0026720.9973281
S00072-Ja001E-PBCa0.0000390.9999611
S00065-Ja003E-PBCa0.0001910.9998091
S00048-Ja003E-PBCa0.0001820.9998181
G05112-Ja005E-PBCa0.0000290.9999711
\n",
+              "
101 rows × 3 columns
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                      prob_0    prob_1  binary_condition_pred\n",
+              "S00109-Ja001E-PBCa  0.000044  0.999956                      1\n",
+              "S00112-Ja003E-PBCa  0.003916  0.996083                      1\n",
+              "S00005-Ja005E-PBCa  0.000296  0.999704                      1\n",
+              "S00061-Ja003E-PBCa  0.000095  0.999905                      1\n",
+              "S00056-Ja003E-PBCa  0.002233  0.997767                      1\n",
+              "...                      ...       ...                    ...\n",
+              "S00076-Ja001E-PBCa  0.002672  0.997328                      1\n",
+              "S00072-Ja001E-PBCa  0.000039  0.999961                      1\n",
+              "S00065-Ja003E-PBCa  0.000191  0.999809                      1\n",
+              "S00048-Ja003E-PBCa  0.000182  0.999818                      1\n",
+              "G05112-Ja005E-PBCa  0.000029  0.999971                      1\n",
+              "\n",
+              "[101 rows x 3 columns]"
+            ]
+          }
+        }
+      ],
+      "id": "f1f70529"
     },
     {
-     "data": {
-      "text/html": [
-       "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
-       "nectors/data_connector.py:434: The 'train_dataloader' does not have many workers which may be a bottleneck. \n",
-       "Consider increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve \n",
-       "performance.\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
-       "nectors/data_connector.py:434: The 'train_dataloader' does not have many workers which may be a bottleneck. \n",
-       "Consider increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve \n",
-       "performance.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "y_true = metadata.loc[pascient_prediction.index, \"binary_condition\"]\n",
+        "print(classification_report(y_true, pascient_prediction[\"binary_condition_pred\"]))"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "              precision    recall  f1-score   support\n",
+            "\n",
+            "           0       1.00      1.00      1.00        10\n",
+            "           1       1.00      1.00      1.00        91\n",
+            "\n",
+            "    accuracy                           1.00       101\n",
+            "   macro avg       1.00      1.00      1.00       101\n",
+            "weighted avg       1.00      1.00      1.00       101\n",
+            "\n"
+          ]
+        }
+      ],
+      "id": "e163a9d0"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "`Trainer.fit` stopped: `max_epochs=10` reached.\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Now let's challenge paSCient with a more complex task of multilabel classification of disease severities:"
+      ],
+      "id": "4404dcbc"
     },
     {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pascient.fine_tune(\"Source\", tasks=\"classification\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "72ed7a4e",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "metadata[\"Source\"].value_counts()"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Source\n",
+              "COVID_SEV         41\n",
+              "COVID_MILD        18\n",
+              "COVID_CRIT        18\n",
+              "COVID_HCW_MILD    12\n",
+              "HV                10\n",
+              "COVID_LDN          2\n",
+              "Name: count, dtype: int64"
+            ]
+          }
+        }
+      ],
+      "id": "97f85759"
+    },
     {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
prob_COVID_CRITprob_COVID_HCW_MILDprob_COVID_LDNprob_COVID_MILDprob_COVID_SEVprob_HVSource_pred
S00109-Ja001E-PBCa0.3945350.0254770.0257430.1449560.4091880.000101COVID_SEV
S00112-Ja003E-PBCa0.0633280.2671640.2170970.2956040.1504870.006321COVID_MILD
S00005-Ja005E-PBCa0.8805950.0030010.0085790.0247220.0830510.000052COVID_CRIT
S00061-Ja003E-PBCa0.3889460.0295240.0290420.1486870.4036220.000178COVID_SEV
S00056-Ja003E-PBCa0.2103930.1326180.1125670.2442510.2972480.002924COVID_SEV
........................
S00076-Ja001E-PBCa0.1256800.1926390.1501160.2814830.2465660.003515COVID_MILD
S00072-Ja001E-PBCa0.3614170.0295260.0279500.1706130.4103700.000123COVID_SEV
S00065-Ja003E-PBCa0.3985390.0327030.0323770.1435770.3925910.000213COVID_CRIT
S00048-Ja003E-PBCa0.3788790.0335920.0321300.1510740.4041120.000212COVID_SEV
G05112-Ja005E-PBCa0.2871300.0487380.0329030.2135810.4174970.000151COVID_SEV
\n",
-       "
101 rows × 7 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "                    prob_COVID_CRIT  prob_COVID_HCW_MILD  prob_COVID_LDN  \\\n",
-       "S00109-Ja001E-PBCa         0.394535             0.025477        0.025743   \n",
-       "S00112-Ja003E-PBCa         0.063328             0.267164        0.217097   \n",
-       "S00005-Ja005E-PBCa         0.880595             0.003001        0.008579   \n",
-       "S00061-Ja003E-PBCa         0.388946             0.029524        0.029042   \n",
-       "S00056-Ja003E-PBCa         0.210393             0.132618        0.112567   \n",
-       "...                             ...                  ...             ...   \n",
-       "S00076-Ja001E-PBCa         0.125680             0.192639        0.150116   \n",
-       "S00072-Ja001E-PBCa         0.361417             0.029526        0.027950   \n",
-       "S00065-Ja003E-PBCa         0.398539             0.032703        0.032377   \n",
-       "S00048-Ja003E-PBCa         0.378879             0.033592        0.032130   \n",
-       "G05112-Ja005E-PBCa         0.287130             0.048738        0.032903   \n",
-       "\n",
-       "                    prob_COVID_MILD  prob_COVID_SEV   prob_HV Source_pred  \n",
-       "S00109-Ja001E-PBCa         0.144956        0.409188  0.000101   COVID_SEV  \n",
-       "S00112-Ja003E-PBCa         0.295604        0.150487  0.006321  COVID_MILD  \n",
-       "S00005-Ja005E-PBCa         0.024722        0.083051  0.000052  COVID_CRIT  \n",
-       "S00061-Ja003E-PBCa         0.148687        0.403622  0.000178   COVID_SEV  \n",
-       "S00056-Ja003E-PBCa         0.244251        0.297248  0.002924   COVID_SEV  \n",
-       "...                             ...             ...       ...         ...  \n",
-       "S00076-Ja001E-PBCa         0.281483        0.246566  0.003515  COVID_MILD  \n",
-       "S00072-Ja001E-PBCa         0.170613        0.410370  0.000123   COVID_SEV  \n",
-       "S00065-Ja003E-PBCa         0.143577        0.392591  0.000213  COVID_CRIT  \n",
-       "S00048-Ja003E-PBCa         0.151074        0.404112  0.000212   COVID_SEV  \n",
-       "G05112-Ja005E-PBCa         0.213581        0.417497  0.000151   COVID_SEV  \n",
-       "\n",
-       "[101 rows x 7 columns]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pascient_source_prediction = pascient.predict(\"Source\")\n",
-    "pascient_source_prediction"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0e60967f",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pascient.fine_tune(\"Source\", tasks=\"classification\")"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:1700: UserWarning: Using data from adata.layers['X_raw_counts']\n",
+            "  X = self._get_data()\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "GPU available: True (cuda), used: True\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "TPU available: False, using: 0 TPU cores\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "💡 Tip: For seamless cloud logging and experiment tracking, try installing [litlogger](https://pypi.org/project/litlogger/) to enable LitLogger, which logs metrics and artifacts automatically to the Lightning Experiments platform.\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
┏━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
+              "┃   ┃ Name                        ┃ Type                    ┃ Params ┃ Mode  ┃ FLOPs ┃\n",
+              "┡━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
+              "│ 0 │ gene2cell_encoder           │ BasicMLP                │  3.1 M │ train │     0 │\n",
+              "│ 1 │ cell2patient_aggregation    │ NonLinearAttnAggregator │  1.1 M │ train │     0 │\n",
+              "│ 2 │ patient_encoder             │ BasicMLP                │  787 K │ train │     0 │\n",
+              "│ 3 │ cell2cell_encoder           │ CellToCellIdentity      │      0 │ train │     0 │\n",
+              "│ 4 │ sample_prediction_loss_func │ CrossEntropyLossViews   │      0 │ train │     0 │\n",
+              "│ 5 │ patient_predictor           │ BasicMLP                │  3.1 K │ train │     0 │\n",
+              "└───┴─────────────────────────────┴─────────────────────────┴────────┴───────┴───────┘\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "┏━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
+              "┃\u001b[1;35m \u001b[0m\u001b[1;35m \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mName                       \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mType                   \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mParams\u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mMode \u001b[0m\u001b[1;35m \u001b[0m┃\u001b[1;35m \u001b[0m\u001b[1;35mFLOPs\u001b[0m\u001b[1;35m \u001b[0m┃\n",
+              "┡━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
+              "│\u001b[2m \u001b[0m\u001b[2m0\u001b[0m\u001b[2m \u001b[0m│ gene2cell_encoder           │ BasicMLP                │  3.1 M │ train │     0 │\n",
+              "│\u001b[2m \u001b[0m\u001b[2m1\u001b[0m\u001b[2m \u001b[0m│ cell2patient_aggregation    │ NonLinearAttnAggregator │  1.1 M │ train │     0 │\n",
+              "│\u001b[2m \u001b[0m\u001b[2m2\u001b[0m\u001b[2m \u001b[0m│ patient_encoder             │ BasicMLP                │  787 K │ train │     0 │\n",
+              "│\u001b[2m \u001b[0m\u001b[2m3\u001b[0m\u001b[2m \u001b[0m│ cell2cell_encoder           │ CellToCellIdentity      │      0 │ train │     0 │\n",
+              "│\u001b[2m \u001b[0m\u001b[2m4\u001b[0m\u001b[2m \u001b[0m│ sample_prediction_loss_func │ CrossEntropyLossViews   │      0 │ train │     0 │\n",
+              "│\u001b[2m \u001b[0m\u001b[2m5\u001b[0m\u001b[2m \u001b[0m│ patient_predictor           │ BasicMLP                │  3.1 K │ train │     0 │\n",
+              "└───┴─────────────────────────────┴─────────────────────────┴────────┴───────┴───────┘\n"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
Trainable params: 4.9 M                                                                                            \n",
+              "Non-trainable params: 0                                                                                            \n",
+              "Total params: 4.9 M                                                                                                \n",
+              "Total estimated model params size (MB): 19                                                                         \n",
+              "Modules in train mode: 20                                                                                          \n",
+              "Modules in eval mode: 0                                                                                            \n",
+              "Total FLOPs: 0                                                                                                     \n",
+              "
\n"
+            ],
+            "text/plain": [
+              "\u001b[1mTrainable params\u001b[0m: 4.9 M                                                                                            \n",
+              "\u001b[1mNon-trainable params\u001b[0m: 0                                                                                            \n",
+              "\u001b[1mTotal params\u001b[0m: 4.9 M                                                                                                \n",
+              "\u001b[1mTotal estimated model params size (MB)\u001b[0m: 19                                                                         \n",
+              "\u001b[1mModules in train mode\u001b[0m: 20                                                                                          \n",
+              "\u001b[1mModules in eval mode\u001b[0m: 0                                                                                            \n",
+              "\u001b[1mTotal FLOPs\u001b[0m: 0                                                                                                     \n"
+            ]
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "SLURM auto-requeueing enabled. Setting signal handlers.\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/rich/live.py:260: \n",
+              "UserWarning: install \"ipywidgets\" for Jupyter support\n",
+              "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/rich/live.py:260: \n",
+              "UserWarning: install \"ipywidgets\" for Jupyter support\n",
+              "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/_\n",
+              "pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and \n",
+              "treespec.is_leaf()` instead.\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/utilities/_\n",
+              "pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and \n",
+              "treespec.is_leaf()` instead.\n"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
+              "nectors/data_connector.py:434: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider \n",
+              "increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve performance.\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
+              "nectors/data_connector.py:434: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider \n",
+              "increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve performance.\n"
+            ]
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
+              "nectors/data_connector.py:434: The 'train_dataloader' does not have many workers which may be a bottleneck. \n",
+              "Consider increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve \n",
+              "performance.\n",
+              "
\n"
+            ],
+            "text/plain": [
+              "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/lightning/pytorch/trainer/con\n",
+              "nectors/data_connector.py:434: The 'train_dataloader' does not have many workers which may be a bottleneck. \n",
+              "Consider increasing the value of the `num_workers` argument` to `num_workers=7` in the `DataLoader` to improve \n",
+              "performance.\n"
+            ]
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "`Trainer.fit` stopped: `max_epochs=10` reached.\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
\n"
+            ],
+            "text/plain": []
+          }
+        }
+      ],
+      "id": "050b3280"
+    },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                precision    recall  f1-score   support\n",
-      "\n",
-      "    COVID_CRIT       0.68      0.72      0.70        18\n",
-      "COVID_HCW_MILD       0.59      0.83      0.69        12\n",
-      "     COVID_LDN       0.00      0.00      0.00         2\n",
-      "    COVID_MILD       0.60      0.50      0.55        18\n",
-      "     COVID_SEV       0.72      0.71      0.72        41\n",
-      "            HV       1.00      1.00      1.00        10\n",
-      "\n",
-      "      accuracy                           0.70       101\n",
-      "     macro avg       0.60      0.63      0.61       101\n",
-      "  weighted avg       0.69      0.70      0.69       101\n",
-      "\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pascient_source_prediction = pascient.predict(\"Source\")\n",
+        "pascient_source_prediction"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
prob_COVID_CRITprob_COVID_HCW_MILDprob_COVID_LDNprob_COVID_MILDprob_COVID_SEVprob_HVSource_pred
S00109-Ja001E-PBCa0.3945350.0254770.0257430.1449560.4091880.000101COVID_SEV
S00112-Ja003E-PBCa0.0633280.2671640.2170970.2956040.1504870.006321COVID_MILD
S00005-Ja005E-PBCa0.8805950.0030010.0085790.0247220.0830510.000052COVID_CRIT
S00061-Ja003E-PBCa0.3889460.0295240.0290420.1486870.4036220.000178COVID_SEV
S00056-Ja003E-PBCa0.2103930.1326180.1125670.2442510.2972480.002924COVID_SEV
........................
S00076-Ja001E-PBCa0.1256800.1926390.1501160.2814830.2465660.003515COVID_MILD
S00072-Ja001E-PBCa0.3614170.0295260.0279500.1706130.4103700.000123COVID_SEV
S00065-Ja003E-PBCa0.3985390.0327030.0323770.1435770.3925910.000213COVID_CRIT
S00048-Ja003E-PBCa0.3788790.0335920.0321300.1510740.4041120.000212COVID_SEV
G05112-Ja005E-PBCa0.2871300.0487380.0329030.2135810.4174970.000151COVID_SEV
\n",
+              "
101 rows × 7 columns
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                    prob_COVID_CRIT  prob_COVID_HCW_MILD  prob_COVID_LDN  \\\n",
+              "S00109-Ja001E-PBCa         0.394535             0.025477        0.025743   \n",
+              "S00112-Ja003E-PBCa         0.063328             0.267164        0.217097   \n",
+              "S00005-Ja005E-PBCa         0.880595             0.003001        0.008579   \n",
+              "S00061-Ja003E-PBCa         0.388946             0.029524        0.029042   \n",
+              "S00056-Ja003E-PBCa         0.210393             0.132618        0.112567   \n",
+              "...                             ...                  ...             ...   \n",
+              "S00076-Ja001E-PBCa         0.125680             0.192639        0.150116   \n",
+              "S00072-Ja001E-PBCa         0.361417             0.029526        0.027950   \n",
+              "S00065-Ja003E-PBCa         0.398539             0.032703        0.032377   \n",
+              "S00048-Ja003E-PBCa         0.378879             0.033592        0.032130   \n",
+              "G05112-Ja005E-PBCa         0.287130             0.048738        0.032903   \n",
+              "\n",
+              "                    prob_COVID_MILD  prob_COVID_SEV   prob_HV Source_pred  \n",
+              "S00109-Ja001E-PBCa         0.144956        0.409188  0.000101   COVID_SEV  \n",
+              "S00112-Ja003E-PBCa         0.295604        0.150487  0.006321  COVID_MILD  \n",
+              "S00005-Ja005E-PBCa         0.024722        0.083051  0.000052  COVID_CRIT  \n",
+              "S00061-Ja003E-PBCa         0.148687        0.403622  0.000178   COVID_SEV  \n",
+              "S00056-Ja003E-PBCa         0.244251        0.297248  0.002924   COVID_SEV  \n",
+              "...                             ...             ...       ...         ...  \n",
+              "S00076-Ja001E-PBCa         0.281483        0.246566  0.003515  COVID_MILD  \n",
+              "S00072-Ja001E-PBCa         0.170613        0.410370  0.000123   COVID_SEV  \n",
+              "S00065-Ja003E-PBCa         0.143577        0.392591  0.000213  COVID_CRIT  \n",
+              "S00048-Ja003E-PBCa         0.151074        0.404112  0.000212   COVID_SEV  \n",
+              "G05112-Ja005E-PBCa         0.213581        0.417497  0.000151   COVID_SEV  \n",
+              "\n",
+              "[101 rows x 7 columns]"
+            ]
+          }
+        }
+      ],
+      "id": "72ed7a4e"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/sklearn/metrics/_classification.py:1833: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/sklearn/metrics/_classification.py:1833: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/sklearn/metrics/_classification.py:1833: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n"
-     ]
-    }
-   ],
-   "source": [
-    "source_true = metadata.loc[pascient_source_prediction.index, \"Source\"]\n",
-    "print(classification_report(source_true, pascient_source_prediction[\"Source_pred\"]))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c7e46648",
-   "metadata": {},
-   "source": [
-    "Not bad! PaSCient achieves macro F1 score of 0.61, the best we've seen so far\n",
-    "\n",
-    "The sample embeddings has changed after fine-tuning as the entire model was retrained. Let's visualise them:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e65181a1",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "source_true = metadata.loc[pascient_source_prediction.index, \"Source\"]\n",
+        "print(classification_report(source_true, pascient_source_prediction[\"Source_pred\"]))"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "                precision    recall  f1-score   support\n",
+            "\n",
+            "    COVID_CRIT       0.68      0.72      0.70        18\n",
+            "COVID_HCW_MILD       0.59      0.83      0.69        12\n",
+            "     COVID_LDN       0.00      0.00      0.00         2\n",
+            "    COVID_MILD       0.60      0.50      0.55        18\n",
+            "     COVID_SEV       0.72      0.71      0.72        41\n",
+            "            HV       1.00      1.00      1.00        10\n",
+            "\n",
+            "      accuracy                           0.70       101\n",
+            "     macro avg       0.60      0.63      0.61       101\n",
+            "  weighted avg       0.69      0.70      0.69       101\n",
+            "\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/sklearn/metrics/_classification.py:1833: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+            "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/sklearn/metrics/_classification.py:1833: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+            "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/sklearn/metrics/_classification.py:1833: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+            "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n"
+          ]
+        }
+      ],
+      "id": "0e60967f"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
-      "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
-      "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
-      "  warn(\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Not bad! PaSCient achieves macro F1 score of 0.61, the best we've seen so far\n",
+        "\n",
+        "The sample embeddings has changed after fine-tuning as the entire model was retrained. Let's visualise them:"
+      ],
+      "id": "c7e46648"
     },
     {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pascient_distances = pascient.calculate_distance_matrix()\n",
-    "pascient.embed(\"UMAP\")\n",
-    "pascient.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols, continuous_palette=\"tab10\");"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "10238021",
-   "metadata": {},
-   "source": [
-    "### Cell importance\n",
-    "\n",
-    "PaSCient can compute per-cell importance scores to identify which cells contribute most to sample-level representations.\n",
-    "\n",
-    "> **Note:** By default, `get_cell_importance()` uses Integrated Gradients (IG) from the PaSCient paper when [captum](https://captum.ai/) is installed, and falls back to cosine similarity between cell and sample embeddings otherwise."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "89cd7af0",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "pascient_distances = pascient.calculate_distance_matrix()\n",
+        "pascient.embed(\"UMAP\")\n",
+        "pascient.plot_embedding(method=\"UMAP\", metadata_cols=samples_metadata_cols, continuous_palette=\"tab10\");"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1865: UserWarning: using precomputed metric; inverse_transform will be unavailable\n",
+            "  warn(\"using precomputed metric; inverse_transform will be unavailable\")\n",
+            "/home/icb/vladimir.shitov/software/miniconda3/envs/patpy/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
+            "  warn(\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          }
+        }
+      ],
+      "id": "e65181a1"
+    },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:1700: UserWarning: Using data from adata.layers['X_raw_counts']\n",
-      "  X = self._get_data()\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Cell importance\n",
+        "\n",
+        "PaSCient can compute per-cell importance scores to identify which cells contribute most to sample-level representations.\n",
+        "\n",
+        "> **Note:** By default, `get_cell_importance()` uses Integrated Gradients (IG) from the PaSCient paper when [captum](https://captum.ai/) is installed, and falls back to cosine similarity between cell and sample embeddings otherwise."
+      ],
+      "id": "10238021"
     },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Importance scores: min=0.0000, max=0.0415, mean=0.0000\n"
-     ]
-    }
-   ],
-   "source": [
-    "cell_importance = pascient.get_cell_importance(target=1)\n",
-    "importance_scores = cell_importance.iloc[:, 0]\n",
-    "print(f\"Importance scores: min={importance_scores.min():.4f}, max={importance_scores.max():.4f}, mean={importance_scores.mean():.4f}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "926d0b21",
-   "metadata": {},
-   "source": [
-    "### Cell importance by disease severity and cell type\n",
-    "\n",
-    "Visualize the distribution of cell importance scores. Since most scores are near zero with a long tail of important cells, we use strip plots with log-scaled y-axis for better visibility."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "da1fa610",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "cell_importance = pascient.get_cell_importance(target=1)\n",
+        "importance_scores = cell_importance.iloc[:, 0]\n",
+        "print(f\"Importance scores: min={importance_scores.min():.4f}, max={importance_scores.max():.4f}, mean={importance_scores.mean():.4f}\")"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/ictstr01/groups/luckylab/workspace/vladimir.shitov/patpy/src/patpy/tl/supervised.py:1700: UserWarning: Using data from adata.layers['X_raw_counts']\n",
+            "  X = self._get_data()\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "Importance scores: min=0.0000, max=0.0415, mean=0.0000\n"
+          ]
+        }
+      ],
+      "id": "89cd7af0"
+    },
     {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import seaborn as sns\n",
-    "\n",
-    "# Build dataframe with importance scores and metadata\n",
-    "cell_imp_df = pd.DataFrame({\n",
-    "    \"importance\": importance_scores,\n",
-    "    \"Source\": adata.obs[\"Source\"].values,\n",
-    "    \"cell_type\": adata.obs[cell_type_key].values,\n",
-    "}, index=adata.obs_names)\n",
-    "\n",
-    "severity_order = [\"HV\", \"COVID_HCW_MILD\", \"COVID_MILD\", \"COVID_LDN\", \"COVID_SEV\", \"COVID_CRIT\"]\n",
-    "\n",
-    "fig, axes = plt.subplots(1, 2, figsize=(16, 5))\n",
-    "\n",
-    "# Filter to nonzero for log-scale\n",
-    "nonzero = cell_imp_df[cell_imp_df[\"importance\"] > 0]\n",
-    "\n",
-    "# By disease severity\n",
-    "ax = axes[0]\n",
-    "sns.boxplot(data=nonzero, x=\"Source\", y=\"importance\", order=severity_order, ax=ax)\n",
-    "ax.set_yscale(\"log\")\n",
-    "ax.set_xlabel(\"Disease severity\")\n",
-    "ax.set_ylabel(\"Cell importance\")\n",
-    "ax.set_title(\"Cell importance by disease severity\")\n",
-    "ax.tick_params(axis=\"x\", rotation=45)\n",
-    "\n",
-    "# By cell type\n",
-    "ax = axes[1]\n",
-    "sns.boxplot(data=nonzero, x=\"cell_type\", y=\"importance\", ax=ax)\n",
-    "ax.set_yscale(\"log\")\n",
-    "ax.set_xlabel(\"Cell type\")\n",
-    "ax.set_ylabel(\"Cell importance\")\n",
-    "ax.set_title(\"Cell importance by cell type\")\n",
-    "ax.tick_params(axis=\"x\", rotation=45)\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "52b2a2a1",
-   "metadata": {},
-   "source": [
-    "The distributions per disease severity look quite similar, but maximum cell importances seem larger for more severe COVID stages"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2974fea7",
-   "metadata": {},
-   "source": [
-    "### Summary statistics\n",
-    "\n",
-    "Descriptive statistics of cell importance scores grouped by disease severity and cell type."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9ad529b8",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Cell importance by disease severity and cell type\n",
+        "\n",
+        "Visualize the distribution of cell importance scores. Since most scores are near zero with a long tail of important cells, we use strip plots with log-scaled y-axis for better visibility."
+      ],
+      "id": "926d0b21"
+    },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "=== Cell importance by disease severity ===\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "import seaborn as sns\n",
+        "\n",
+        "# Build dataframe with importance scores and metadata\n",
+        "cell_imp_df = pd.DataFrame({\n",
+        "    \"importance\": importance_scores,\n",
+        "    \"Source\": adata.obs[\"Source\"].values,\n",
+        "    \"cell_type\": adata.obs[cell_type_key].values,\n",
+        "}, index=adata.obs_names)\n",
+        "\n",
+        "severity_order = [\"HV\", \"COVID_HCW_MILD\", \"COVID_MILD\", \"COVID_LDN\", \"COVID_SEV\", \"COVID_CRIT\"]\n",
+        "\n",
+        "fig, axes = plt.subplots(1, 2, figsize=(16, 5))\n",
+        "\n",
+        "# Filter to nonzero for log-scale\n",
+        "nonzero = cell_imp_df[cell_imp_df[\"importance\"] > 0]\n",
+        "\n",
+        "# By disease severity\n",
+        "ax = axes[0]\n",
+        "sns.boxplot(data=nonzero, x=\"Source\", y=\"importance\", order=severity_order, ax=ax)\n",
+        "ax.set_yscale(\"log\")\n",
+        "ax.set_xlabel(\"Disease severity\")\n",
+        "ax.set_ylabel(\"Cell importance\")\n",
+        "ax.set_title(\"Cell importance by disease severity\")\n",
+        "ax.tick_params(axis=\"x\", rotation=45)\n",
+        "\n",
+        "# By cell type\n",
+        "ax = axes[1]\n",
+        "sns.boxplot(data=nonzero, x=\"cell_type\", y=\"importance\", ax=ax)\n",
+        "ax.set_yscale(\"log\")\n",
+        "ax.set_xlabel(\"Cell type\")\n",
+        "ax.set_ylabel(\"Cell importance\")\n",
+        "ax.set_title(\"Cell importance by cell type\")\n",
+        "ax.tick_params(axis=\"x\", rotation=45)\n",
+        "\n",
+        "plt.tight_layout()\n",
+        "plt.show()"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "
"
+            ]
+          }
+        }
+      ],
+      "id": "da1fa610"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/localscratch/vladimir.shitov/ipykernel_540455/745167923.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
-      "  cell_imp_df.groupby(\"Source\")[\"importance\"].describe().loc[severity_order].round(6)\n"
-     ]
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "The distributions per disease severity look quite similar, but maximum cell importances seem larger for more severe COVID stages"
+      ],
+      "id": "52b2a2a1"
     },
     {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
countmeanstdmin25%50%75%max
Source
HV87204.00.0000180.0000880.00.00.00.0000000.006155
COVID_HCW_MILD84359.00.0000180.0000880.00.00.00.0000000.008232
COVID_MILD107376.00.0000270.0001210.00.00.00.0000030.010584
COVID_LDN14832.00.0000170.0000930.00.00.00.0000000.002996
COVID_SEV230343.00.0000210.0001390.00.00.00.0000040.041486
COVID_CRIT87620.00.0000180.0002100.00.00.00.0000070.035924
\n",
-       "
"
-      ],
-      "text/plain": [
-       "                   count      mean       std  min  25%  50%       75%  \\\n",
-       "Source                                                                  \n",
-       "HV               87204.0  0.000018  0.000088  0.0  0.0  0.0  0.000000   \n",
-       "COVID_HCW_MILD   84359.0  0.000018  0.000088  0.0  0.0  0.0  0.000000   \n",
-       "COVID_MILD      107376.0  0.000027  0.000121  0.0  0.0  0.0  0.000003   \n",
-       "COVID_LDN        14832.0  0.000017  0.000093  0.0  0.0  0.0  0.000000   \n",
-       "COVID_SEV       230343.0  0.000021  0.000139  0.0  0.0  0.0  0.000004   \n",
-       "COVID_CRIT       87620.0  0.000018  0.000210  0.0  0.0  0.0  0.000007   \n",
-       "\n",
-       "                     max  \n",
-       "Source                    \n",
-       "HV              0.006155  \n",
-       "COVID_HCW_MILD  0.008232  \n",
-       "COVID_MILD      0.010584  \n",
-       "COVID_LDN       0.002996  \n",
-       "COVID_SEV       0.041486  \n",
-       "COVID_CRIT      0.035924  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "print(\"=== Cell importance by disease severity ===\")\n",
-    "cell_imp_df.groupby(\"Source\")[\"importance\"].describe().loc[severity_order].round(6)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "edecd0d0",
-   "metadata": {},
-   "outputs": [
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Summary statistics\n",
+        "\n",
+        "Descriptive statistics of cell importance scores grouped by disease severity and cell type."
+      ],
+      "id": "2974fea7"
+    },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "=== Cell importance by cell type (sorted by max) ===\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "print(\"=== Cell importance by disease severity ===\")\n",
+        "cell_imp_df.groupby(\"Source\")[\"importance\"].describe().loc[severity_order].round(6)"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "=== Cell importance by disease severity ===\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "/localscratch/vladimir.shitov/ipykernel_540455/745167923.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+            "  cell_imp_df.groupby(\"Source\")[\"importance\"].describe().loc[severity_order].round(6)\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
countmeanstdmin25%50%75%max
Source
HV87204.00.0000180.0000880.00.00.00.0000000.006155
COVID_HCW_MILD84359.00.0000180.0000880.00.00.00.0000000.008232
COVID_MILD107376.00.0000270.0001210.00.00.00.0000030.010584
COVID_LDN14832.00.0000170.0000930.00.00.00.0000000.002996
COVID_SEV230343.00.0000210.0001390.00.00.00.0000040.041486
COVID_CRIT87620.00.0000180.0002100.00.00.00.0000070.035924
\n",
+              "
"
+            ],
+            "text/plain": [
+              "                   count      mean       std  min  25%  50%       75%  \\\n",
+              "Source                                                                  \n",
+              "HV               87204.0  0.000018  0.000088  0.0  0.0  0.0  0.000000   \n",
+              "COVID_HCW_MILD   84359.0  0.000018  0.000088  0.0  0.0  0.0  0.000000   \n",
+              "COVID_MILD      107376.0  0.000027  0.000121  0.0  0.0  0.0  0.000003   \n",
+              "COVID_LDN        14832.0  0.000017  0.000093  0.0  0.0  0.0  0.000000   \n",
+              "COVID_SEV       230343.0  0.000021  0.000139  0.0  0.0  0.0  0.000004   \n",
+              "COVID_CRIT       87620.0  0.000018  0.000210  0.0  0.0  0.0  0.000007   \n",
+              "\n",
+              "                     max  \n",
+              "Source                    \n",
+              "HV              0.006155  \n",
+              "COVID_HCW_MILD  0.008232  \n",
+              "COVID_MILD      0.010584  \n",
+              "COVID_LDN       0.002996  \n",
+              "COVID_SEV       0.041486  \n",
+              "COVID_CRIT      0.035924  "
+            ]
+          }
+        }
+      ],
+      "id": "9ad529b8"
     },
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/localscratch/vladimir.shitov/ipykernel_540455/3781085762.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
-      "  cell_imp_df.groupby(\"cell_type\")[\"importance\"].describe().round(6).sort_values(\"max\", ascending=False)\n"
-     ]
+      "cell_type": "code",
+      "metadata": {},
+      "source": [
+        "print(\"=== Cell importance by cell type (sorted by max) ===\")\n",
+        "cell_imp_df.groupby(\"cell_type\")[\"importance\"].describe().round(6).sort_values(\"max\", ascending=False)"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "=== Cell importance by cell type (sorted by max) ===\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "/localscratch/vladimir.shitov/ipykernel_540455/3781085762.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+            "  cell_imp_df.groupby(\"cell_type\")[\"importance\"].describe().round(6).sort_values(\"max\", ascending=False)\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "
\n",
+              "\n",
+              "\n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "  \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "    \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "      \n",
+              "    \n",
+              "  \n",
+              "
countmeanstdmin25%50%75%max
cell_type
PLT920.00.0005440.0027470.00.00.00.0000520.041486
CD887562.00.0000200.0000780.00.00.00.0000000.008232
cMono152220.00.0000350.0001050.00.00.00.0000150.003444
NK57648.00.0000580.0001610.00.00.00.0000000.003357
GDT7935.00.0000330.0001090.00.00.00.0000000.002455
DN3426.00.0000150.0000660.00.00.00.0000000.002018
ncMono21281.00.0000190.0000620.00.00.00.0000000.001800
DP5354.00.0000140.0000640.00.00.00.0000000.001764
CD4218353.00.0000040.0000170.00.00.00.0000000.001737
DC7287.00.0000070.0000270.00.00.00.0000000.001444
PB6945.00.0000040.0000120.00.00.00.0000040.000440
MAIT3977.00.0000090.0000240.00.00.00.0000000.000407
HSC1124.00.0000070.0000210.00.00.00.0000090.000269
iNKT360.00.0000100.0000270.00.00.00.0000000.000253
RET197.00.0000050.0000160.00.00.00.0000030.000151
Mast42.00.0000080.0000220.00.00.00.0000000.000133
B37103.00.0000010.0000020.00.00.00.0000020.000080
\n",
+              "
"
+            ],
+            "text/plain": [
+              "              count      mean       std  min  25%  50%       75%       max\n",
+              "cell_type                                                                 \n",
+              "PLT           920.0  0.000544  0.002747  0.0  0.0  0.0  0.000052  0.041486\n",
+              "CD8         87562.0  0.000020  0.000078  0.0  0.0  0.0  0.000000  0.008232\n",
+              "cMono      152220.0  0.000035  0.000105  0.0  0.0  0.0  0.000015  0.003444\n",
+              "NK          57648.0  0.000058  0.000161  0.0  0.0  0.0  0.000000  0.003357\n",
+              "GDT          7935.0  0.000033  0.000109  0.0  0.0  0.0  0.000000  0.002455\n",
+              "DN           3426.0  0.000015  0.000066  0.0  0.0  0.0  0.000000  0.002018\n",
+              "ncMono      21281.0  0.000019  0.000062  0.0  0.0  0.0  0.000000  0.001800\n",
+              "DP           5354.0  0.000014  0.000064  0.0  0.0  0.0  0.000000  0.001764\n",
+              "CD4        218353.0  0.000004  0.000017  0.0  0.0  0.0  0.000000  0.001737\n",
+              "DC           7287.0  0.000007  0.000027  0.0  0.0  0.0  0.000000  0.001444\n",
+              "PB           6945.0  0.000004  0.000012  0.0  0.0  0.0  0.000004  0.000440\n",
+              "MAIT         3977.0  0.000009  0.000024  0.0  0.0  0.0  0.000000  0.000407\n",
+              "HSC          1124.0  0.000007  0.000021  0.0  0.0  0.0  0.000009  0.000269\n",
+              "iNKT          360.0  0.000010  0.000027  0.0  0.0  0.0  0.000000  0.000253\n",
+              "RET           197.0  0.000005  0.000016  0.0  0.0  0.0  0.000003  0.000151\n",
+              "Mast           42.0  0.000008  0.000022  0.0  0.0  0.0  0.000000  0.000133\n",
+              "B           37103.0  0.000001  0.000002  0.0  0.0  0.0  0.000002  0.000080"
+            ]
+          }
+        }
+      ],
+      "id": "edecd0d0"
     },
     {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
countmeanstdmin25%50%75%max
cell_type
PLT920.00.0005440.0027470.00.00.00.0000520.041486
CD887562.00.0000200.0000780.00.00.00.0000000.008232
cMono152220.00.0000350.0001050.00.00.00.0000150.003444
NK57648.00.0000580.0001610.00.00.00.0000000.003357
GDT7935.00.0000330.0001090.00.00.00.0000000.002455
DN3426.00.0000150.0000660.00.00.00.0000000.002018
ncMono21281.00.0000190.0000620.00.00.00.0000000.001800
DP5354.00.0000140.0000640.00.00.00.0000000.001764
CD4218353.00.0000040.0000170.00.00.00.0000000.001737
DC7287.00.0000070.0000270.00.00.00.0000000.001444
PB6945.00.0000040.0000120.00.00.00.0000040.000440
MAIT3977.00.0000090.0000240.00.00.00.0000000.000407
HSC1124.00.0000070.0000210.00.00.00.0000090.000269
iNKT360.00.0000100.0000270.00.00.00.0000000.000253
RET197.00.0000050.0000160.00.00.00.0000030.000151
Mast42.00.0000080.0000220.00.00.00.0000000.000133
B37103.00.0000010.0000020.00.00.00.0000020.000080
\n",
-       "
"
-      ],
-      "text/plain": [
-       "              count      mean       std  min  25%  50%       75%       max\n",
-       "cell_type                                                                 \n",
-       "PLT           920.0  0.000544  0.002747  0.0  0.0  0.0  0.000052  0.041486\n",
-       "CD8         87562.0  0.000020  0.000078  0.0  0.0  0.0  0.000000  0.008232\n",
-       "cMono      152220.0  0.000035  0.000105  0.0  0.0  0.0  0.000015  0.003444\n",
-       "NK          57648.0  0.000058  0.000161  0.0  0.0  0.0  0.000000  0.003357\n",
-       "GDT          7935.0  0.000033  0.000109  0.0  0.0  0.0  0.000000  0.002455\n",
-       "DN           3426.0  0.000015  0.000066  0.0  0.0  0.0  0.000000  0.002018\n",
-       "ncMono      21281.0  0.000019  0.000062  0.0  0.0  0.0  0.000000  0.001800\n",
-       "DP           5354.0  0.000014  0.000064  0.0  0.0  0.0  0.000000  0.001764\n",
-       "CD4        218353.0  0.000004  0.000017  0.0  0.0  0.0  0.000000  0.001737\n",
-       "DC           7287.0  0.000007  0.000027  0.0  0.0  0.0  0.000000  0.001444\n",
-       "PB           6945.0  0.000004  0.000012  0.0  0.0  0.0  0.000004  0.000440\n",
-       "MAIT         3977.0  0.000009  0.000024  0.0  0.0  0.0  0.000000  0.000407\n",
-       "HSC          1124.0  0.000007  0.000021  0.0  0.0  0.0  0.000009  0.000269\n",
-       "iNKT          360.0  0.000010  0.000027  0.0  0.0  0.0  0.000000  0.000253\n",
-       "RET           197.0  0.000005  0.000016  0.0  0.0  0.0  0.000003  0.000151\n",
-       "Mast           42.0  0.000008  0.000022  0.0  0.0  0.0  0.000000  0.000133\n",
-       "B           37103.0  0.000001  0.000002  0.0  0.0  0.0  0.000002  0.000080"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "In this tutorial you learned how to run supervised sample-level methods, evaluate and visualise the results with `patpy`"
+      ],
+      "id": "de71bbb9"
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "patpy",
+      "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": "3.13.12"
     }
-   ],
-   "source": [
-    "print(\"=== Cell importance by cell type (sorted by max) ===\")\n",
-    "cell_imp_df.groupby(\"cell_type\")[\"importance\"].describe().round(6).sort_values(\"max\", ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "de71bbb9",
-   "metadata": {},
-   "source": [
-    "In this tutorial you learned how to run supervised sample-level methods, evaluate and visualise the results with `patpy`"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "patpy",
-   "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": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
+  "nbformat": 4,
+  "nbformat_minor": 5
 }

From e33b4f1785cf68b3cce8cca910ee3475b5384b60 Mon Sep 17 00:00:00 2001
From: eroell 
Date: Wed, 6 May 2026 13:26:37 +0200
Subject: [PATCH 2/3] update dataset name

---
 representation_methods_example.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/representation_methods_example.ipynb b/representation_methods_example.ipynb
index d44af25..4579423 100644
--- a/representation_methods_example.ipynb
+++ b/representation_methods_example.ipynb
@@ -100,7 +100,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 97,
+      "execution_count": null,
       "id": "a05229a9",
       "metadata": {},
       "outputs": [
@@ -131,7 +131,7 @@
         }
       ],
       "source": [
-        "adata, combat_info = patpy.datasets.combat_preprocessed(return_dataset_info=True)\n",
+        "adata, combat_info = patpy.datasets.combat(return_dataset_info=True)\n",
         "display(adata)\n",
         "display(combat_info)"
       ]

From 59b5e64c444afb3e0888ca8983aafc32bfc11477 Mon Sep 17 00:00:00 2001
From: eroell 
Date: Wed, 6 May 2026 13:32:40 +0200
Subject: [PATCH 3/3] next try

---
 sources_of_variation_with_gloscope.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/sources_of_variation_with_gloscope.ipynb b/sources_of_variation_with_gloscope.ipynb
index 4fcd40a..648d59d 100644
--- a/sources_of_variation_with_gloscope.ipynb
+++ b/sources_of_variation_with_gloscope.ipynb
@@ -274,7 +274,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 3,
+      "execution_count": null,
       "id": "c15dfec8",
       "metadata": {
         "execution": {
@@ -313,7 +313,7 @@
         }
       ],
       "source": [
-        "adata, combat_info = patpy.datasets.combat_preprocessed(return_dataset_info=True)\n",
+        "adata, combat_info = patpy.datasets.combat(return_dataset_info=True)\n",
         "display(adata)\n",
         "display(combat_info)"
       ]