{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9bfeac23",
   "metadata": {
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    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# LIANA x Tensor-cell2cell Quickstart (Python)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fffbfd01",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "This tutorial provides an abbreviated version of Tutorials 01-06 in order to give a quick overview of the pipeline to go from a raw counts matrix to downstream cell-cell communication (CCC) analyses. By combining LIANA and Tensor-cell2cell, we get a general framework that can robustly incorporate many existing CCC inference tools, ultimately retriving consensus communication scores for any sample and analyzing all those samples together to identify context-dependent communication programs.  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05884439",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Initial Setups"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee45fadf",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Enabling GPU use\n",
    "\n",
    "First, if you are using a NVIDIA GPU with CUDA cores, set `use_gpu=True` and enable PyTorch with the following code block. Otherwise, set `use_gpu=False` or skip this part"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f5747fbf",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "use_gpu = True\n",
    "\n",
    "if use_gpu:\n",
    "    import tensorly as tl\n",
    "    tl.set_backend('pytorch')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7928b2ac",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import torch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "247803b4",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.cuda.is_available()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4ca88e4",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Libraries\n",
    "Then, import all the packages we will use in this tutorial:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cbd1ad88",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import cell2cell as c2c\n",
    "import liana as li\n",
    "\n",
    "import decoupler as dc\n",
    "import scanpy as sc\n",
    "\n",
    "import plotnine as p9\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5f3e28ec",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import logging\n",
    "logging.disable(logging.WARNING) # This is to avoid too many logs because of GSEApy\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b03d87c1",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Directories\n",
    "\n",
    "Afterwards, specify the data and output directories:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "038b0287",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../../data/quickstart/outputs_pbmcs/ already exists.\n"
     ]
    }
   ],
   "source": [
    "output_folder = '../../data/quickstart/outputs_pbmcs/'\n",
    "c2c.io.directories.create_directory(output_folder)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27d9e44b",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Loading Data\n",
    "\n",
    "We begin by loading the single-cell transcriptomics data. For this tutorial, we will use a dataset of ~25k PBMCs from 8 pooled patient lupus samples, each before and after IFN-beta stimulation ([Kang et al., 2018; GSE96583](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE96583)). We use a convenient function to download the data and store it in the AnnData format, on which the [scanpy](https://scanpy.readthedocs.io/en/stable/) package is built."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e56e7727",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "adata = li.testing.datasets.kang_2018()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78c9280b",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Preprocess Expression\n",
    "\n",
    "Note, we do not include a batch correction step as Tensor-cell2cell can get robust decomposition results without this; however, we have extensive analysis and discuss regarding this topic in [Supplementary Tutorial 01](./S1_Batch_Correction.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "928e2d66",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Quality-Control Filtering\n",
    "\n",
    "The loaded data has already been pre-processed to a degree and comes with cell annotations. Nevertheless, let’s highlight some of the key steps. To ensure that any noisy cells or features are removed, we filter any non-informative cells and genes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7be0a4c8",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# basic filters\n",
    "sc.pp.filter_cells(adata, min_genes=300)\n",
    "sc.pp.filter_genes(adata, min_cells=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3b76021",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "We additionally remove high mitochondrial content:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9e98a340",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# filter low quality cells with standard QC metrics\n",
    "adata.var['mt'] = adata.var_names.str.startswith('MT-')  # annotate the group of mitochondrial genes as 'mt'\n",
    "sc.pp.calculate_qc_metrics(adata,\n",
    "                           qc_vars=['mt'],\n",
    "                           percent_top=None,\n",
    "                           log1p=False,\n",
    "                           inplace=True)\n",
    "adata = adata[adata.obs.pct_counts_mt < 15, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ed5eb61a",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "View of AnnData object with n_obs × n_vars = 24297 × 15688\n",
       "    obs: 'nCount_RNA', 'nFeature_RNA', 'tsne1', 'tsne2', 'condition', 'cluster', 'cell_type', 'patient', 'nCount_SCT', 'nFeature_SCT', 'integrated_snn_res.0.4', 'seurat_clusters', 'sample', 'cell_abbr', 'n_genes', 'n_genes_by_counts', 'total_counts', 'total_counts_mt', 'pct_counts_mt'\n",
       "    var: 'name', 'n_cells', 'mt', 'n_cells_by_counts', 'mean_counts', 'pct_dropout_by_counts', 'total_counts'\n",
       "    obsm: 'X_pca', 'X_umap'\n",
       "    layers: 'counts'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db1dc5f9",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Normalization"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16806f87",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Normalized counts are usually obtained in two essential steps, the first being count depth scaling which ensures that the measured count depths are comparable across cells. This is then usually followed up with log1p transformation, which essentially stabilizes the variance of the counts and enables the use of linear metrics downstream:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "941e129c",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# save the raw counts to a layer\n",
    "adata.layers[\"counts\"] = adata.X.copy()\n",
    "\n",
    "# Normalize the data\n",
    "sc.pp.normalize_total(adata)\n",
    "sc.pp.log1p(adata)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73828619",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Let's see what our data looks like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ece6dfb7",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nCount_RNA</th>\n",
       "      <th>nFeature_RNA</th>\n",
       "      <th>tsne1</th>\n",
       "      <th>tsne2</th>\n",
       "      <th>condition</th>\n",
       "      <th>cluster</th>\n",
       "      <th>cell_type</th>\n",
       "      <th>patient</th>\n",
       "      <th>nCount_SCT</th>\n",
       "      <th>nFeature_SCT</th>\n",
       "      <th>integrated_snn_res.0.4</th>\n",
       "      <th>seurat_clusters</th>\n",
       "      <th>sample</th>\n",
       "      <th>cell_abbr</th>\n",
       "      <th>n_genes</th>\n",
       "      <th>n_genes_by_counts</th>\n",
       "      <th>total_counts</th>\n",
       "      <th>total_counts_mt</th>\n",
       "      <th>pct_counts_mt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAACATACATTTCC-1</th>\n",
       "      <td>3017.0</td>\n",
       "      <td>877</td>\n",
       "      <td>-27.640373</td>\n",
       "      <td>14.966629</td>\n",
       "      <td>ctrl</td>\n",
       "      <td>9</td>\n",
       "      <td>CD14+ Monocytes</td>\n",
       "      <td>patient_1016</td>\n",
       "      <td>1704.0</td>\n",
       "      <td>711</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>ctrl&amp;1016</td>\n",
       "      <td>CD14</td>\n",
       "      <td>877</td>\n",
       "      <td>877</td>\n",
       "      <td>3017.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>AAACATACCAGAAA-1</th>\n",
       "      <td>2481.0</td>\n",
       "      <td>713</td>\n",
       "      <td>-27.493646</td>\n",
       "      <td>28.924885</td>\n",
       "      <td>ctrl</td>\n",
       "      <td>9</td>\n",
       "      <td>CD14+ Monocytes</td>\n",
       "      <td>patient_1256</td>\n",
       "      <td>1614.0</td>\n",
       "      <td>662</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>ctrl&amp;1256</td>\n",
       "      <td>CD14</td>\n",
       "      <td>713</td>\n",
       "      <td>713</td>\n",
       "      <td>2481.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACATACCATGCA-1</th>\n",
       "      <td>703.0</td>\n",
       "      <td>337</td>\n",
       "      <td>-10.468194</td>\n",
       "      <td>-5.984389</td>\n",
       "      <td>ctrl</td>\n",
       "      <td>3</td>\n",
       "      <td>CD4 T cells</td>\n",
       "      <td>patient_1488</td>\n",
       "      <td>908.0</td>\n",
       "      <td>337</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>ctrl&amp;1488</td>\n",
       "      <td>CD4T</td>\n",
       "      <td>337</td>\n",
       "      <td>337</td>\n",
       "      <td>703.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>AAACATACCTCGCT-1</th>\n",
       "      <td>3420.0</td>\n",
       "      <td>850</td>\n",
       "      <td>-24.367997</td>\n",
       "      <td>20.429285</td>\n",
       "      <td>ctrl</td>\n",
       "      <td>9</td>\n",
       "      <td>CD14+ Monocytes</td>\n",
       "      <td>patient_1256</td>\n",
       "      <td>1738.0</td>\n",
       "      <td>653</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>ctrl&amp;1256</td>\n",
       "      <td>CD14</td>\n",
       "      <td>850</td>\n",
       "      <td>850</td>\n",
       "      <td>3420.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>AAACATACCTGGTA-1</th>\n",
       "      <td>3158.0</td>\n",
       "      <td>1111</td>\n",
       "      <td>27.952170</td>\n",
       "      <td>24.159738</td>\n",
       "      <td>ctrl</td>\n",
       "      <td>4</td>\n",
       "      <td>Dendritic cells</td>\n",
       "      <td>patient_1039</td>\n",
       "      <td>1857.0</td>\n",
       "      <td>928</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>ctrl&amp;1039</td>\n",
       "      <td>DCs</td>\n",
       "      <td>1111</td>\n",
       "      <td>1111</td>\n",
       "      <td>3158.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "  </tbody>\n",
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      ],
      "text/plain": [
       "                  nCount_RNA  nFeature_RNA      tsne1      tsne2 condition  \\\n",
       "index                                                                        \n",
       "AAACATACATTTCC-1      3017.0           877 -27.640373  14.966629      ctrl   \n",
       "AAACATACCAGAAA-1      2481.0           713 -27.493646  28.924885      ctrl   \n",
       "AAACATACCATGCA-1       703.0           337 -10.468194  -5.984389      ctrl   \n",
       "AAACATACCTCGCT-1      3420.0           850 -24.367997  20.429285      ctrl   \n",
       "AAACATACCTGGTA-1      3158.0          1111  27.952170  24.159738      ctrl   \n",
       "\n",
       "                  cluster        cell_type       patient  nCount_SCT  \\\n",
       "index                                                                  \n",
       "AAACATACATTTCC-1        9  CD14+ Monocytes  patient_1016      1704.0   \n",
       "AAACATACCAGAAA-1        9  CD14+ Monocytes  patient_1256      1614.0   \n",
       "AAACATACCATGCA-1        3      CD4 T cells  patient_1488       908.0   \n",
       "AAACATACCTCGCT-1        9  CD14+ Monocytes  patient_1256      1738.0   \n",
       "AAACATACCTGGTA-1        4  Dendritic cells  patient_1039      1857.0   \n",
       "\n",
       "                  nFeature_SCT integrated_snn_res.0.4 seurat_clusters  \\\n",
       "index                                                                   \n",
       "AAACATACATTTCC-1           711                      1               1   \n",
       "AAACATACCAGAAA-1           662                      1               1   \n",
       "AAACATACCATGCA-1           337                      6               6   \n",
       "AAACATACCTCGCT-1           653                      1               1   \n",
       "AAACATACCTGGTA-1           928                     12              12   \n",
       "\n",
       "                     sample cell_abbr  n_genes  n_genes_by_counts  \\\n",
       "index                                                               \n",
       "AAACATACATTTCC-1  ctrl&1016      CD14      877                877   \n",
       "AAACATACCAGAAA-1  ctrl&1256      CD14      713                713   \n",
       "AAACATACCATGCA-1  ctrl&1488      CD4T      337                337   \n",
       "AAACATACCTCGCT-1  ctrl&1256      CD14      850                850   \n",
       "AAACATACCTGGTA-1  ctrl&1039       DCs     1111               1111   \n",
       "\n",
       "                  total_counts  total_counts_mt  pct_counts_mt  \n",
       "index                                                           \n",
       "AAACATACATTTCC-1        3017.0              0.0            0.0  \n",
       "AAACATACCAGAAA-1        2481.0              0.0            0.0  \n",
       "AAACATACCATGCA-1         703.0              0.0            0.0  \n",
       "AAACATACCTCGCT-1        3420.0              0.0            0.0  \n",
       "AAACATACCTGGTA-1        3158.0              0.0            0.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e2ef4ba",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Define columns to use for downstream analysis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a6aa4124",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "sample_key = 'sample'\n",
    "condition_key = 'condition'\n",
    "groupby = 'cell_abbr'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c24818ac",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Deciphering Cell-Cell Communication\n",
    "\n",
    "we will use LIANA to infer the ligand-receptor interactions for each sample. LIANA is  highly modularized and it natively implements the formulations of a number of methods, including CellPhoneDBv2, Connectome, log2FC, NATMI, SingleCellSignalR, CellChat, a geometric mean, as well as a consensus in the form of a rank aggregate from any combination of methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ed27ebc5",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Method Name</th>\n",
       "      <th>Magnitude Score</th>\n",
       "      <th>Specificity Score</th>\n",
       "      <th>Reference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CellPhoneDB</td>\n",
       "      <td>lr_means</td>\n",
       "      <td>cellphone_pvals</td>\n",
       "      <td>Efremova, M., Vento-Tormo, M., Teichmann, S.A....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Connectome</td>\n",
       "      <td>expr_prod</td>\n",
       "      <td>scaled_weight</td>\n",
       "      <td>Raredon, M.S.B., Yang, J., Garritano, J., Wang...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>log2FC</td>\n",
       "      <td>None</td>\n",
       "      <td>lr_logfc</td>\n",
       "      <td>Dimitrov, D., Türei, D., Garrido-Rodriguez, M....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NATMI</td>\n",
       "      <td>expr_prod</td>\n",
       "      <td>spec_weight</td>\n",
       "      <td>Hou, R., Denisenko, E., Ong, H.T., Ramilowski,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SingleCellSignalR</td>\n",
       "      <td>lrscore</td>\n",
       "      <td>None</td>\n",
       "      <td>Cabello-Aguilar, S., Alame, M., Kon-Sun-Tack, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CellChat</td>\n",
       "      <td>lr_probs</td>\n",
       "      <td>cellchat_pvals</td>\n",
       "      <td>Jin, S., Guerrero-Juarez, C.F., Zhang, L., Cha...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Rank_Aggregate</td>\n",
       "      <td>magnitude_rank</td>\n",
       "      <td>specificity_rank</td>\n",
       "      <td>Dimitrov, D., Türei, D., Garrido-Rodriguez, M....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Geometric Mean</td>\n",
       "      <td>lr_gmeans</td>\n",
       "      <td>gmean_pvals</td>\n",
       "      <td>CellPhoneDBv2's permutation approach applied t...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Method Name Magnitude Score Specificity Score  \\\n",
       "0        CellPhoneDB        lr_means   cellphone_pvals   \n",
       "0         Connectome       expr_prod     scaled_weight   \n",
       "0             log2FC            None          lr_logfc   \n",
       "0              NATMI       expr_prod       spec_weight   \n",
       "0  SingleCellSignalR         lrscore              None   \n",
       "0           CellChat        lr_probs    cellchat_pvals   \n",
       "0     Rank_Aggregate  magnitude_rank  specificity_rank   \n",
       "0     Geometric Mean       lr_gmeans       gmean_pvals   \n",
       "\n",
       "                                           Reference  \n",
       "0  Efremova, M., Vento-Tormo, M., Teichmann, S.A....  \n",
       "0  Raredon, M.S.B., Yang, J., Garritano, J., Wang...  \n",
       "0  Dimitrov, D., Türei, D., Garrido-Rodriguez, M....  \n",
       "0  Hou, R., Denisenko, E., Ong, H.T., Ramilowski,...  \n",
       "0  Cabello-Aguilar, S., Alame, M., Kon-Sun-Tack, ...  \n",
       "0  Jin, S., Guerrero-Juarez, C.F., Zhang, L., Cha...  \n",
       "0  Dimitrov, D., Türei, D., Garrido-Rodriguez, M....  \n",
       "0  CellPhoneDBv2's permutation approach applied t...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "li.method.show_methods()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "240d0eae",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "LIANA classifies the scoring functions from the different methods into two categories: those that infer the “Magnitude” and “Specificity” of interactions. We define the “Magnitude” of an interaction as a measure of the strength of the interaction's expression, and the “Specificity” of an interaction is a measure of how specific an interaction is to a given pair of clusters. Generally, these categories are complementary, and the magnitude of the interaction is often a proxy of the specificity of the interaction. For example, a ligand-receptor interaction with a high magnitude score in a given pair of cell types is likely to also be specific, and vice versa.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6b28cd2",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "When considering ligand-receptor prior knowledge resources, a common theme is the trade-off between coverage and quality, and similarly each resource comes with its own biases. In this regard, LIANA builds on OmniPath29 as any of the resources in LIANA are obtained via OmniPath. These include the expert-curated resources of CellPhoneDBv223, CellChat27, ICELLNET30, connectomeDB202025, CellTalkDB31, as well as 10 others. LIANA further provides a consensus expert-curated resource from the aforementioned five resources, along with some curated interactions from SignaLink. In this protocol, we will use the consensus resource from liana, though any of the other resources are available via LIANA, and one can also use liana with their own custom resource."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bad6d62d",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "baccin2019, cellcall, cellchatdb, cellinker, cellphonedb, celltalkdb, connectomedb2020, consensus, embrace, guide2pharma, hpmr, icellnet, italk, kirouac2010, lrdb, mouseconsensus, ramilowski2015\n"
     ]
    }
   ],
   "source": [
    "liana_resources = li.resource.show_resources()\n",
    "print(*liana_resources, sep = ', ')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efa24a73",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Selecting any of the lists of ligand-receptor pairs in LIANA  can be done through the following command (here we select the aforementioned \"consensus\" resource:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "95d87625",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "lr_pairs = li.resource.select_resource('consensus')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25e9f20f",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "<img src=\"https://github.com/saezlab/liana/blob/master/vignettes/ligrec_pipe.png?raw=true\" width=\"900\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b10b8eb9",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Next, we can run LIANA on each sample across the available methods. By default, LIANA calculates an aggregate rank across these mtehods using a re-implementation of the [RobustRankAggregate]('https://doi.org/10.1093/bioinformatics/btr709') method, and generates a probability distribution for ligand-receptors that are ranked consistently better than expected under a null hypothesis (See Appendix 2). The consensus of ligand-receptor interactions across methods can therefore be treated as a p-value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "875bfe9e",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Now running: stim&1488: 100%|███████████████████████████████████████| 16/16 [01:20<00:00,  5.01s/it]\n"
     ]
    }
   ],
   "source": [
    "li.mt.rank_aggregate.by_sample(adata,\n",
    "                               sample_key=sample_key,\n",
    "                               groupby=groupby,\n",
    "                               resource_name = 'consensus',\n",
    "                               expr_prop=0.1, # must be expressed in expr_prop fraction of cells\n",
    "                               min_cells = 5,\n",
    "                               n_perms = 100,\n",
    "                               use_raw = False, # run on log- and library-normalized counts\n",
    "                               verbose = True,\n",
    "                               inplace = True,\n",
    "                               return_all_lrs=True, # return all LR values\n",
    "                              )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67714942",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "The parameterrs used here are as follows:\n",
    "    \n",
    "- `adata` stands for Anndata, and we pass here with an object with a single  sample/context.\n",
    "- `resource_name` is the name of any of the resources available in liana\n",
    "- `groupby` corresponds to the cell group label stored in `adata.obs`.\n",
    "- `use_raw` is boolean that indicates whether to use the `adata.raw` slot, here the log-normalized counts are assigned to `adata.X`, other options include passing the name of a layer via the `layer` parameter or using the counts stored in `adata.raw`.\n",
    "- `expr_prop` is the expression proportion threshold  (in terms of cells per cell type expressing the protein)threshold of expression for any protein subunit involved in the interaction, according to which we keep or discard the interactions.\n",
    "- `min_cells` is the minimum number of cells per cell type required for a cell type to be considered in the analysis\n",
    "- `verbose` is a boolean that indicates whether to print the progress of the function\n",
    "- `inplace` is a boolean that indicates whether storing the results in place, i.e. to `adata.uns[“liana_res”]`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d493968c",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Let's see what the results look like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4e9dea69",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample</th>\n",
       "      <th>source</th>\n",
       "      <th>target</th>\n",
       "      <th>ligand_complex</th>\n",
       "      <th>receptor_complex</th>\n",
       "      <th>lr_means</th>\n",
       "      <th>cellphone_pvals</th>\n",
       "      <th>expr_prod</th>\n",
       "      <th>scaled_weight</th>\n",
       "      <th>lr_logfc</th>\n",
       "      <th>spec_weight</th>\n",
       "      <th>lrscore</th>\n",
       "      <th>lr_probs</th>\n",
       "      <th>cellchat_pvals</th>\n",
       "      <th>specificity_rank</th>\n",
       "      <th>magnitude_rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ctrl&amp;101</td>\n",
       "      <td>FGR3</td>\n",
       "      <td>CD14</td>\n",
       "      <td>TIMP1</td>\n",
       "      <td>CD63</td>\n",
       "      <td>2.634805</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.247571</td>\n",
       "      <td>1.544213</td>\n",
       "      <td>2.285625</td>\n",
       "      <td>0.132291</td>\n",
       "      <td>0.984058</td>\n",
       "      <td>0.268787</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.401877e-09</td>\n",
       "      <td>1.325768e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ctrl&amp;101</td>\n",
       "      <td>FGR3</td>\n",
       "      <td>DCs</td>\n",
       "      <td>TIMP1</td>\n",
       "      <td>CD63</td>\n",
       "      <td>2.321779</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.076271</td>\n",
       "      <td>1.154960</td>\n",
       "      <td>1.413446</td>\n",
       "      <td>0.086314</td>\n",
       "      <td>0.980338</td>\n",
       "      <td>0.199095</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.764034e-09</td>\n",
       "      <td>8.484083e-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ctrl&amp;101</td>\n",
       "      <td>CD14</td>\n",
       "      <td>CD14</td>\n",
       "      <td>TIMP1</td>\n",
       "      <td>CD63</td>\n",
       "      <td>2.261914</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.904150</td>\n",
       "      <td>1.277493</td>\n",
       "      <td>1.908720</td>\n",
       "      <td>0.103844</td>\n",
       "      <td>0.982043</td>\n",
       "      <td>0.225244</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.401877e-09</td>\n",
       "      <td>1.548535e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ctrl&amp;101</td>\n",
       "      <td>NK</td>\n",
       "      <td>CD8T</td>\n",
       "      <td>B2M</td>\n",
       "      <td>CD3D</td>\n",
       "      <td>2.319840</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.631051</td>\n",
       "      <td>1.018839</td>\n",
       "      <td>0.661349</td>\n",
       "      <td>0.079802</td>\n",
       "      <td>0.975643</td>\n",
       "      <td>0.143878</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.773842e-08</td>\n",
       "      <td>9.029901e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ctrl&amp;101</td>\n",
       "      <td>NK</td>\n",
       "      <td>NK</td>\n",
       "      <td>B2M</td>\n",
       "      <td>KLRD1</td>\n",
       "      <td>2.337043</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.767930</td>\n",
       "      <td>1.685281</td>\n",
       "      <td>0.911614</td>\n",
       "      <td>0.096133</td>\n",
       "      <td>0.976239</td>\n",
       "      <td>0.136489</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.401877e-09</td>\n",
       "      <td>9.662321e-10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     sample source target ligand_complex receptor_complex  lr_means  \\\n",
       "0  ctrl&101   FGR3   CD14          TIMP1             CD63  2.634805   \n",
       "1  ctrl&101   FGR3    DCs          TIMP1             CD63  2.321779   \n",
       "2  ctrl&101   CD14   CD14          TIMP1             CD63  2.261914   \n",
       "3  ctrl&101     NK   CD8T            B2M             CD3D  2.319840   \n",
       "4  ctrl&101     NK     NK            B2M            KLRD1  2.337043   \n",
       "\n",
       "   cellphone_pvals  expr_prod  scaled_weight  lr_logfc  spec_weight   lrscore  \\\n",
       "0              0.0   6.247571       1.544213  2.285625     0.132291  0.984058   \n",
       "1              0.0   4.076271       1.154960  1.413446     0.086314  0.980338   \n",
       "2              0.0   4.904150       1.277493  1.908720     0.103844  0.982043   \n",
       "3              0.0   2.631051       1.018839  0.661349     0.079802  0.975643   \n",
       "4              0.0   2.767930       1.685281  0.911614     0.096133  0.976239   \n",
       "\n",
       "   lr_probs  cellchat_pvals  specificity_rank  magnitude_rank  \n",
       "0  0.268787             0.0      6.401877e-09    1.325768e-12  \n",
       "1  0.199095             0.0      8.764034e-09    8.484083e-11  \n",
       "2  0.225244             0.0      6.401877e-09    1.548535e-10  \n",
       "3  0.143878             0.0      1.773842e-08    9.029901e-10  \n",
       "4  0.136489             0.0      6.401877e-09    9.662321e-10  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.uns['liana_res'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f63c5ea8",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "This dataframe provides the results from running each method, as well as the consensus scores across the methods. In our case, we are interested in the magnitude consensus scored denoted by the `'magnitude_rank'` column.\n",
    "\n",
    "We can visualize the output as a dotplot across multiple samples:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "0a7c83de",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VUlbBNVxJ+xaJubsAmJ9dsMCYhqS8PUjK2wO13B9h7qNQy2MC5GyDVjkFhjTczt6AdO1pZGgvIlcfU/zc+RgZXJV14KGOgLdTGwRp+kEhc3FgbakikvOzcT41HrF3EiECCBGz0MgrEIHO7ry2JXKgTF0eLmXE42JaLG6mJUIvGuGV5o5wVz9EeAajrps/lDLeCqvKtPo4JGUvw52s5dAZk0s9n59f8nelPAD+rqPg7zoSKkWAnWpJFSWKIqJzknE+PRYX0+MQk5OK7PzcwjZLkg8iPEMQ4RGCRh5BUMjYj0BERPcHXnUSWSEu7zpWx36LxPzoCr82Nu8KYmOvYP+dNRgWOgMhLnWlryBZzGBMR2r628jJXWl1DKPxDtIzP0VO3nr4es2DWtVEwhqSNYxiAW6k/4pbmUtQYEw1s7WIHN0N5OhuICZrOTzVLVHP6wV4O7ezS12pYgyiEfsSonAg8TrOp8XjckYSsvVaCADclc6I8ApEE89A9Aiqjza+NdgJXgWJoog9d/Zjbdwm3NGW7lS7V54hD+czL+J85kX8edMN/QMfwsCgflBUovP0UuIdHLx+E+fjk3DlTjIy8/IggwAfVw0aBwWgSVAAetSrhQA3V6vLeNBEZsZgbewB7Ew8jQKjvvQG+cDZjBtAXOGv9d1CMTS0Ex4KaAm1nEl1VUVe3hakpr8Co/FOhV+rLTgIbepBqFRt4O35FZRKXuM6WoExH/uSFuFk6nqIFiR3FMk1pONQ8nIcTv4brbyHoJv/BChlTjasKVVEgUGPbXGXsOz6MZxMjSl7o7SbwM2TAIBQF088UasNhoe1hJeaSR5VgVHU43rGb7iWNh9G6KyKoTUk4Ura14jL3oTmfh/BQ91Y4lqSNbIKruJ6xm+Iz95iYt8aka27imzdVdzOXodLqZ8h1HUIanlMgrMi0K71JcucS43D0qgT2Jd4HYl5WSWfvFL4n7faBR39wzGqdiu08wtjO5TIDnRGA/YkRuKv6KM4mnK99AZ3NWmc5Eo8HNwMj4e3QyOPYPtVkswyGPMQmz4XCVmLYElCehGdIRG3M+YhLuM7BLo/hVDPmZAJapvVkyomz1CALbfP4e+bR3ExI67MbY5n3sLa2FMAgEAnDzwW1gbDaraBj5p9cUREVL0xAcvGdDodVq1ahc2bN+Po0aNISkpCZmYmPDw8EBYWhnbt2mH48OHo1asXZLKSy+uEh4fj5s3So841Gg08PDzg6+uL5s2bo23bthg2bBhCQkKsrqfRaETnzp1x+PDh4sfunVGkR48e2LNnj9VlAMDChQsxceLESsVwJKNoxJ6kldid9DeMMFQqVpI2BguiXkU3/+Ho6T+Syys5gLbgPJKSx5W51KA1dLoLiE8aAG/Pj+DuOkGSmFRxGdpzOHfnDeTooqx6fbr2FI4lTEQNt1Go7z2LyxNWEQUGPRZfO4YlUccRm5te6nkRQIYuD4eSbuBQ0g38fOUQ6rv7YXy99ngsvAVnfqgikrUp+Pn6HzifedGq12fqs/B37FocST2BKbUnIUxTw+LXGkURGy9cxuJjp3H6dnyZ28Rn5+B8QhL+OnUOCpkMvRvUwaT2rdAylB205cnS5eH7q+uwJf54hV53JSsWn136G4tv/ItXIh5HSy8m6ziS0ZiLtPT/ITdvdaVjFRQcR2JSH3h4vAVXzWTegHSQ2NwL2HT7C6Tryj7eWUKEESdS1yIq+ygGBr+EEJcICWtI1jiWfBNvnVyHWzlpFr8mNjcdX1z4F/Mj92BWk94YVastr4scSGtIxYnE55GutWzmZXOydVdxMG40Gnq/jFoe46yOk5+vw63oO0iIT4JCKYOrxgPuHmwHWcoo6hCV/guupf9UaglJc/TGLERnLkFs9j9o5P0KQl2H8txZRZxNjcMHp7biTOpts9umanOxMeYiNsZcRF13X7zRvA+6BtaxQy2pstKychEVnwajUUSBoEaNAC/IZeyjreoO3rmGD8+uQ1xeukXb5xt0WB1zAqtjTqCLXz283ewRBDp72LaSZFZW/nFEpbwMrb68mZfNE6FHfOaPSMv7F3V85sJV3VzCGpI1DiRdxQdn1yEhP8Pi1yTkZ+C7yzvwy9W9mNGwD0bVas/7ZUREVG0xAcuG1q1bh1mzZuH69dIjMFJSUpCSkoKTJ0/ixx9/RP369fHll19i4MCBZuPm5OQgJycHcXFxOHv2LBYvXowXX3wRQ4YMwZdffonw8PAK1/WHH34okXxFpRlFA9bdno+TaTukiwkjdietQGpBIoaFzoCcy7XYjbbgNBLuPAFRzJQ4sh6p6a9BFHPg4TZV4thkTmzWSlxMfh9iJRMkASAmaxlS8g+hTcDPcFZan+BKlXc2NQ6vHV+Ha5nmZ0u625XMO3jrxAasiT6D2W0GI9zNx0Y1JEtczrqKuZe/Ra4hr9KxbubG4O0LH+PZ2pPQybe92e1vpabjjQ3bcfRWrMVl6I1GbLl0FVsuXcXo1s3xv4e6QKPiEj93O5MWhQ8vLEGy1vpzaXx+Kl48+SMeq9EVz9YdxCnnHcBozMSdlLEoKDgmWUwR+UjPeAsGQzw83N/kjWQ7u5y5H+tj58BYwSSA8qQXxGH5zVcxOOQ11HfvLElMqhid0YDPz2/H4qgjVsfINejw0ZnN2Hb7Ej5vOwz+Tm4S1pAsodUn43DCJOTobkgaV4QBl1LnQG/MQT2vZy1+XWJCOjasPYnDB67iVnQyjMaSg/BCanijddvaGPRoK9SqzeVIy6PVJ+NY4lRkFlg3wKCI3piFc8lvIyl3F1r4zYFc5ixRDamitAY9vr24Fz9HHoIRFV/u/lpmMibvW4YnarXEa817w1XJGVmqElEUcfLKbazZdw4nr95GYmrJWc2c1Uo0CvNH37YN8HCHRtA4SdcGTE/NwaVzsbhy6TbibycDAhAc4of6jYLRsGkoPL2Y+GpOnqEAn53fhNUxJ6yOsf/OVQzb8y1ebfwwHqnRSsLaUUWk5mzGteQXIFo5G+i98nXXcDHxCdTz/QFeLr0kiUkVU2DQ49MLG7HqVsUG6N0t36jDZxc34d+EC/i05eMIcHaXsIZERET2wQQsG5k9ezbefPPN4lmkevfujUceeQQRERHw9PREamoqLl++jPXr12P79u24cuUK3nzzzTITsIKDg7F169bi33U6HdLS0hAdHY2DBw9i5cqVyMjIwJo1a7Bjxw4sXrwYQ4YMsbiut2/fxptvFt4Y8fHxQXJy2Te4Fy5ciJycnDKf++GHHzB//nwAwG+//Ya2bduWuV1oaKjF9apKRFHEhrgFkiZf3e1s+l4oBAWGhjzPG1R2oNNFITF5tA2Sr/6TlvEhZDIvuGlGWfwavcGIQ8eisPfQFSQmpSNfq4Onhyt8fdzQs3MDtG4eBpmMn4/y3MpcjkspH0gaM1cXjaPx49EueDGcFZwBxxGWXz+J909tgkGseMd3kRMpMRjy7wJ83X44egbXl7B2ZKnIzCuYc/lrFBgLJItpEA34IepXiBDR2bdDudv9ezkKL63dhDyd9YkIS0+cwf7r0fhl1KMI9/ayOs795HDyJbx97nfoylpu0AorY/YhKT8d7zQZa1USlk5nwMEDV3D5cjySkgpnhvH390K9+oHo3Lk+VCo2e8piFPOQnDJe0uSru2Vlfw9BUMPD/X8Vel1qWg42bzmLCxdvIyU1EwaDCC8vV9QI9cbD/Zuhbp0Am9T3fnA16xD+iZ1doSUHLWEQ9VgX+wkerfE26rqVf8wl6RUYDZh1dAV2xF+WJN7R5GiM3bsQC7uMR4iLp9VxRFGENl8Hbb4eXp56OLswgdYUvTEHRxOfkTz56m5X07+DUu6OcPfRJrfLzMzDj99sx79bzsLUJfbtmFTcjknFP6uPo22HOnjhfwMQEOgpbaWruXx9Eg7HT0Su/pZkMRNzd+JY4nNoGzCfSVgOkKMvwNQDK3AwqfLf1b9unMLZtDgs7DoaPk5MrKkKzt9IwMd//IsrseUvt52n1eHklds4eeU2vl21H08ObIexfVtXalas86dvYfXSwzi0NxJGw70H3ksAAJlcQOcejfDoqA5o3NzymZ4fJNm6fDx/7E+cSrV+tqQiOXot3jmzBvF5GXi2fk+r4xiNIhISMnAzOgUGoxE6nRJBQV5sf5qRmrsNV5OnAxIMoL2bKGpx9c6zqO//Czydu1X49UajiJibKYiOToSuwICMGkYEh3jDw5PLeJuTb9DhhWNLcDjZuhUp7nUy9SYmHvwZP3ecjFAX9sMREVH1witBG1i8eDHeeOMNAICfnx/++usv9OxZ+kK+d+/emDZtGs6dO4eZM2ciJSWlzHhKpRJNmjQp87nJkyfjq6++wnvvvYcvv/wSmZmZGDlyJPbt24fWrVtbVN/nn38emZmZmDx5MqKiospdZrBWrVrlxvD39y+xXXn1ra5Ope/CsdRtNi3jZNpOhDrXR1uffjYt50EnigbcSZsBo9HyZTuslZr+BpzUHaBUlP/dAQpvMq7fdhb/bD2DO8lZ9zxb2Cm0YdtZhAZ7YeiAFhjwUBO4uTrZqNbVU1LubsmTr4rkG+JxIuEZdAxewQ5wO1sadRzvndosSax8gx7TDq3Adx1HoFclkrBSkjJx/Uo8bscmQqmSo3ZdPRo0CS21jDD9Jyn/DuZe+U7S5KsiIkT8GLUQPipvNHQvvV+3Rl7FzFUbK5XAV+RWWgbG/PE3lo5/AmHenpWOV52dTb8hafJVkb13zuHzS3/jtYiRFiekJyVlYsP6U9i46TTS03LL3MbTywUPP9wCgwa1QEAAl5m4W0bGx9AWWD+jjiUys76EStUKzk4Pmd32/IVYrPnnJPbuuwy9/t4EomQcPxGNNetOonFECB4Z1BI9ujeEUsmkjyKp2lisj50jefJVERFG/BP7KSbW/h7eas4Oag+iKOLV42skS74qEpOThsn7F2NZ98nwVlcsKeBqZDw2rDyGPdsvIC/3v3O7h5cLHhrQDIMea4uQGt6S1vd+cCl1LrIKrti+nJTP4O3UBu6qsq93T5+Ixuz31yI1JbtCcY8djsIz4xZgxssD8FC/plJUtdozGPNwNGGKpMlXRVLzj+PUnf+htf+3HKRnR1qDHs8d+BuHkqIli3kpPRET9y7Bkh7j4a5iP46jGI0iflp/CL9tPApjBdqGOfkF+GbVfuw8eQ2fThmIIJ+KzcSSk63FgnlbsWXdKfN1NIjYt+Mi9u24iIeHtcZT0/tA48rZ04poDTrMOLZEkuSru82/shNOciUm1ulSoddlZORi86az2LD+FOLj00s8p9Go0bdvEwwZ2ho1a3Im9nvl6a4jKvkFSJ18VUSEDlfvTEOz4M1QKyybDCAzIxdbN57F+rUnEB+XXuI5mVxAx871MeTR1mjZJpzn5TIYRCNePrFcsuSrInF56ZhyeCH+6PwMfNSuksYmIiKyJd4tlFhcXByee+45AICLiwt2795dZvLV3Zo2bYrt27fj5ZdftqpMNzc3fPHFF/j0008BAHl5eXjqqacseu3q1auxdu1a+Pr64rPPPrOq/Ptdpi4Fm+N+tUtZWxIWIb0gyS5lPagys39CQcFJu5QlivlITn0Rolj+TbDjp6Mx5rlf8OuS/WUkX5UUG5eG737dhXHTfsPlawlSV7faKjCk40LyOzYtI0d3HVfTvrZpGVTSwcQbeF+i5KsietGIFw6vwrXM8ke7lsVoNOLkoWv4YOZSjOs3F29P+xM/zt6Ob9/fghfH/YzJg+ZhxaL9yEgre5bIB5lRNGLB9d+RJ8Gyg+WWASMWXF+EfIO2xOMX4hMxa81mSZKvitzJzsWTy1Yjp0D6ZLLqIkefj48vLJE8+arI1oQT+DfR/A0KAFi16hjGjpmPJUsOlpt8BQDpablYuuQgxo6Zj7//OlI8Q+2DLl97ENk59rnGTUv7H4zG8mceNRpFfP/jDkx/cQl27rpURvJVSRcu3sYnn23ACy8tQXp6+fv+QWIUDdgc9xX0otb8xpWgF7XYEveVyetbks7f0Sew5fYFm8S+lZOK909vtPiYeOZENGZO/hXPj1uALetOlUi+AoCMtFysXnoYk4d9izem/4kb1xJtUe1qKTnvEGKyVtilLBF6nL3zFoxi6eV8jhy8ijdeWlbh5KsiubkF+PSDdVi/xvpln+4nl9O+Rrbuqs3iJ+XuRkzWKpvFp9K+PL9L0uSrIpEZSXjrxEbJ45JljEYRH//5L37ZcKRCyVd3O38jAU999jfikjMsfs2dxEy8MOkXi5Kv7rVp9QnMnPwrUu6Y7id8kPxwZSdOpEbbJPa8S9twJs2yZNr8fB3mfbUFT4z4Dj8v2FUq+QoAcnK0WLPmBCZNWID/vbwMcXG2HwRcXYiiAddTXoFRzLdpOUYxG9dTXjd7navTGfDD19sw8tFvsOCHHaWSr4DC5MgDey/j1ReX4skxP+HMSWmTAO8HS24cwr4k2ww0iM1Nw4dn/2E/DhERVStMwJLYV199VbxM3/vvv4+IiAiLXieTyTB27NhKlf3KK6+gffv2AIDTp09j82bTN64zMzMxY8YMAMDnn38OHx+OyCjLhrifkW+0z42dAmM+1sctsEtZDyK9IRFpGfZNNNQWHEFO7soyn9t94DL+9/4q5ORW7EZ+aloOpr++HKfOST/Stjq6nPopCgxlL50qpZuZi5GWb5/kvQddtk6LN0+shy2a1lqjHq8fXw+DhTeO7yRm4IWxC/DGs7/j4K5LMBpL1yrhdhp+/WorxvWbi82rjktd5WptZ9JeXMqSdtaOsiRq72BF7Jri3wsMBry2fht0BulHVN5Ky8Dcnfslj1td/HhtAxLz021axjeX1yBFW36yjiiK+OnHnfjh+39hMFieBGI0ivjpp52Y/8OOB77zThT1SEuzbvCHNQzGeKRnflLmc0ajiI/nrMfK1RU/fl6KjMe0mYuRYmUywf3kVNoG3M67aJeyYvMu4FTaBruU9SC7nZuOz85vt2kZ2+IuYctt85+b7RtO4/Vpi3HpXKxFcU8cjsKsp37DiSPSjoKvjkTRgPPJ79u1zMyCi7iV+XeJx65fS8QHb66CTlf5a6Nv5m7GkYPXKh2nOkvNP4HozCU2Lycy9XPk6eNtXg4BJ5JjsPCK7WYF3Rx7CZtj7HOeppJ+2XAYa/edr3SchNQsPD9vDfK0pRNc75WZnovXpv6BmGjr+6pu3biD16b9gaxM2w1mqi7OpsXgj6gDNosvQsTbp1cj32B632Zk5OLll5Zi/T+nLD6fnjwRjenT/kBkZJwUVa32ErMWI1trn0TuzPz9uJNTfgJ8bq4Wb768HGtWHIOuwLL9GXMrBa/NWoqd2yp/TLlfRGffwXeR/9q0jF2Jl7Al7pxNyyAiIpISE7AkJIoifv/9dwCARqPBM888Y9fyBUHACy+8UPz7mjVrTGwNvPbaa7h9+za6deuGiRMn2rh21VOqNh6XMm27LMu9rmSdQFJ+jF3LfFBk5ywBYNtZAcqSmf1LqRu9Zy7E4sMvNlboxvHd8rU6vPnJWty4ZfvEo6osRxeNuOx/7FSaiKj0+XYq68H2zcU9uJ1r+cjSijqTehtLo8x3+MTHpuLFcQtw9cJti+IWaPX4+oN1WPbz7krW8P6gN+qx9rb9RnpvT9yNDF1h0s6vh47jcpLtjo9Ljp/BqdgHrwP1Zk4i1t8+bPNysvR5WHyj/A68FX8fxd9/W399tmrVMSxfZvv3UZXl5W+F3nDDrmXm5vwFQxlLQP/0yy7s3HXJ6rhxcel4/e2VyMt7cGemM4oGHE227ywpR1NWwSjaZtkQKvT1xV3I1dv+c/3pua3QGcvfl7u3ncfc99dVuN2Sm1OAd2ctw4UzD/agkaS8fcjVW5a4JqXozKXFM9Xp9QZ8/vF6FBRIN3vll59ueKCTAi6nfgPYZLhISXoxB9fSOUjP1kRRxHsnN9t8j35waiu0BtvMIktlu3QzEb9slK5f92ZiGr5bY34wzvefb0bsrZRKl3frRjLmf7Gl0nGquzkXNsFo42/ozZwULLtRfhsxP1+HN19fgUsXK94PkJ6ei9de/QsxEnwmqjNR1CM+82e7lhmfMb/MmXv1egM+eGs1Tp2IrnBMvd6IOR/9g8MHbDcLZnXydeR2aG00Q/rdvri4xWSbhYiIqCphApaELl68iDt3Cpc16tq1K9zdK7YuvBR69+5d/PO+ffvK3e7QoUP46aefoFQqMX8+EwrKczR1q0PKPeagcu9noqhHVs6fDim7QHcOBbrTxb8bDEZ8Mm8TdPrKNRqyc7T47LsH+7MSk/mXXctLyTuAHF20Xct80GTrtFhxo+JT9FfU71dNLz+QnZmHt6b+geTE8mfhKTf2dzvw73rbv4eq7mT6GaTp0u1WnkE0YHfSfhQYDPjj2Gmbl7foyIM3I9662EN2K2trwgnk6ksvSxB94w4WLNhZ6fi//LIbUVEP7vJY2Tm/271MEfnIzSl53r54KQ5/rzxW6dhXryVi2V8PblJdVPZRZOkrtrxuZWXqknA9u/L7jsqWos2x2dKD90rKz8Ku+LJnq7x5/Q7mvrfW6ti6AgPee2k5Mh/gpUJvZS53SLm5+ptIyS9MOtiw5iSuXZF2CfvUlGz88dteSWNWF5kFV5Bmp9k7ACAuewN0Rs70aEtHk28hMiPJ5uUka3OwJdb6pHOquE+X7IShjFmsK2P5jtO4ElP+ddfhfVewW8LZcXZsOotjD/Csg+fTY3E+3T6JzH/fPFrubOnzf9iBS5esH4SVlZmPt99aafVA3PtBWt5OFBjsO5AtXx+NzPyDpR7/c9F+nDh63eq4RqOIj99bg+TkB3uZ0MS8DOxOiLRLWXe0WdiVwHMoERFVDwpHV+B+cubMmeKfW7Vq5ZA6+Pn5ITQ0FLGxsbh69SpEUYQgCCW20el0eOaZZ2A0GvHqq69avExidXTh4GVsXLAd18/fhJOrGj1HdEbfCT3g7Ops9rVG0YhTabvsUMvSTqftQv+gSZALcrPb5uXk49/Fe7Drr/3IzcpHrYiaePjp3mjatZEdampf0RdisH7+Vlw8egVKlQIdBrbBw089BE8/D7OvzdcehMHguKn7s3NWQq1qCQA4cvIG4hOlmd3nQmQcLkclokGdAEni2VPizTtY/+NWnNpd2DHVskcTDH62HwLC/Cx6vVHU4Xa26Zn+bCE2ayUaeFu2bJMoiji+9TS2LNyJ21EJcPPWoO+4nujxRCcoVUob19S+MpIzsfHnf3F443HoCvSIaFcfg5/rh/DGNSoU559b55Bjh9kebuWkYX9iFLoF1i3z+TV/HsTtm9aPTvzxs83o2qcJ1E7Vcz/nZedh2++7sXvlQeRl5aN2kzAMfKYPGndqYHGMnUn2vym3685eyNNqIyXH9jd6t1+OQmJWNgLcXG1eVmXpCnTY8/dBbP1jF7JScxBSJxD9JvZC2/4tSl0nliffUICt8fZbYjPPoMX2hJN4JLRTicfXrTsBqVYPXLf2JGa9NECaYHZkNBpxbPMpbP19N+Ki4uHm64b+E3qh+4iOUCjNN+/0+lhoteUP1LCl7NzlcHN7tvj3teulS2TcsOkMxo3pDKXS/PVzVXN+/yVs/Plf3LhwC85uTuj5eBf0Gd8dzhoni15/Ns0xCfln07airlsHi7bNy87D9j/2YNeKA8jLyketxjUx8Jk+aNK5oY1raX83zt3E+h+34dKxq1CqFOg0uC0efqo33H3cLI6x+uYpu47wXnbjOPqGlO4XWLPscKWXrMvMyMOWf07h8fGdKxXHURKik7D+x204vfscIAho1asZBk/pA/+a5tssWkMK7uQ5btni29n/wFvdAWtX2SZZctvGM5j0dA+4aNQ2iW8LaUkZ2PTzdhzedAJ6nQER7RtgyHN9ERZheZslJmulDWtYmkHMQ1z2BoS5j7T4NecPRGLjgu3/nVdGdC48r1jQF1ad5GblYeuiXdiz6iDys7Wo0zQcA6f0QUSH+hWKs8yC2ZGlsiTqBB4Ja1qh19w4fwvr528tPq90HNQGDz/VGx6+9h/4a0sFWh12/3UA2xbvQnZaLkLrBqHfxJ5o08/yNsvdLtxIwPkb0iafFvl712m8Nb5Pmc+tWCz9UnkrFx9E205l911UVUajEUc2nsS233ch/kYi3P0K2yzdHrOszVLk75v2S/iPy0vHgaSr6BZQst8jIyMXW7ecrXT8mJhUHD50DZ27VOwYVRWIoohz+y5h08//IvpSDFzcnNDziS7oPc7yNsud7L/Nb2QDSdl/wcO5S/HvWq0O/6yu/HE/P0+HTetOYfyT3SodyxGizkRjw4/bEHn8KpRqJToNaYeHn3oI7t6Wt1lW3Tpu89np7vb3zaPoG9zE4u11BTrs/usgti3ehayUbITUDapwXxgREZE1mIAloeTk/5a6CQhwXDKEj48PYmNjYTAYkJWVVWomrjlz5uD8+fOoVasW3n77bQfV0rZEUcQPLyzE2u82l3j8wt7LWPnFesze+jZC6wWZjJFWkIBcQ8VnPpFCvjEXydpYBDiFmdwu/kYiXuv7IeLumsEh6mQ0/v1zLwY+3Rsz5j8Nmez+mOhu1Vcb8NPLf5RYyu/SwatYOfcffLj+dbNJAdoCx85Gc3f5azZKW5e1m07h1en9JY1pa/tWHcbssd9Ap9UVP3blSBRWz9uE1xZPR7fHOpqNkV1wFXqj/b+jafmWNdILtDp8MuorHFhbsrPo9L8XsHreRsze8qZFyYPVwYWDl/H24NnISsspfuza8RtYP38bnvl8HB6bNdjiWDvirtiiiuWWVVYCll5nwKZVlUs0yc7Mw95t59FnSMtKxXGE2KvxeL3fh0iI/m9Ub9TJaGz/Yw8emdYf076ZbLajwigacSXL/qN072hTsOmafUbE6Y1G7Lp6HSNbNbNLedbKSM7E6wM+xtUT/43ujDoZjb0rDqPjkDZ4669ZUKnNJwpGZsYgx1B6RipbOpF6tUQCVk6OFtu3SzcjzI4dF/DMlJ5wdbWsw7gqKMgvwAcjvsCRjSUTl05vP4+132zCxxvfMJvkUVDguNnb9PrLMBqzIJO5ISMjF7v3SDdaNi09F/v2X0avntVncInRaMS3037Bhp+2l3j8/J5IrPxiPT7d+haC6wSajCGKIm7nXbRlNct1O+9imQN+7hUXlYBX+36IhBv/zS4SdTIa/y7ei8HP9cP07568bzrA//58HX5+teSsu5cOXsWKuevx0YbX0ah9PYviHEyyfkS+NU4k34TWoIda/l8XUXZWPnZuOSdJ/I2rjmP4mI6Qy6tX23T3Xwfw2YTvoLtr6b4rR6Kw+qsNeGPpTHQe2s7k6zO00s2AYo107XmcP3sLt2NSbRI/N7cAe3ddQv9BLWwSX2rn9l3CO4/MQXb6PW2WH7biua8m4tEZD1sUJyVPuuXMLJWSf8yiBCxRFPHd9F/xzw8lE3PP74nEiv8/r4TUNd0XVl3EXL6N1/p9hKRb//XFRp2Mxrbfd2PYCwPx7JcTLDq3GEURe+KjbFnVEk6lxCKjIA8eKsuS4VZ8sR4/v7K4VF/Yirnr8dH61xDR0fIBMlVZWlIG3hjwMa6d+m+J7KiT0djz9yF0frQd3lw2s8KD2Nbtt90xePORSLw8siecVCVvrdy8fgfnT0m/9O7p4zcQezMFoWE+kse2BW2eFu8Pn4tjW06XePzUtvNY++1mfLzxDbh5WTaQ6WCSfZd5O3TnWqkErM2bzlY6Ib3IP+tOVrsELKPRiK+fXYBNv+wo8fi5PZFY+eUGzNn2NgLD/U3GEEUR2XacPfJu2dqS7d89Oy9Jtozyxn9OYfSEzlAoqtcgoKWfrMbCt5aVeKzoPsvHm95EgzZ1LIpz6I79zp8AcCr1JrQGHdRy8+eD9DuF55WrJ+86r5y6ib0rDqPz0LZ4Y9mLFvWFOcKMGTNw/nzhOezVV19Fv379HFwjIiKqqOrV+1XFZWX9N+WoRqNxWD1cXf9rwNxdJwC4evUqPv74YwDAd999B2fn+2v0W5F1328plXxVJCH6Dt4ePBt6nem1qW/n2fcC8l5xZso3GAx4Z8icEslXd9v4879Y9eUGW1TN7o5uPoUfX/q9RIdTkay0HLw9eDYykk0n4hToKj9SqTIKdBchijrEJaTjyF0X/lL4d88lZOdoJY1pS9EXYvDJ6Hklkq+K6LQ6zB7zNaIvxJiNk1ngmJuNWQWRMIrm17b/7fUlpZKvilw7dQOfjP5a6qo5REZyZqnkqyKiKOKnl//AkU2W3ewXRRHn0uw3Hfn5tLJnxTu46xLSkiu/zMeGv45WOoa96XV6vD14donkq7ut+34L1n23xWycuLwEaI22n8msLOfibDPKuSwX4m2/VEllzR77TYnkq7sd+uc4fn5lsUVxrmTZZ9mHu12+p8wd/15AXp50n6v8fB22S7g8iD38+NIfpZKvikQevYY5E741G8Px10SFCR2bt56T7EZGkXXVbPnXNV9vKpV8VST+eiLeHvIpDAbTf6NMXRLyDY5Z+iLPkGl26UOD3oC3Bn9aIvnqbuvnb8WabzbZonp2d/CfY6WSr4pkpmThrUGzkZlqfl+JooiL6faduVcnGnEls2S7cvuG09Dml75et0ZCXDpOHHZs+7qios5E49Nx35ZIvipSkK/DxyO/wq3I2yZjZGgd014pkqO7gbOnbft3v3DOfLutKkhLysDbQz4tkXxVRBRF/DBzIY5vO1PGK0vSG3ORrZO2PW+JTK1lCehrvtlUKvmqSMKNJLw9ZA4MevvNrmcrugId3ho0u0Ty1d1Wf72x3PPrvW5mpyJbb9/+lAtplrVXDm84gQX/+6PsvrDUbLw1+FNkptwfy199MnpeieSrux1YcxS/vbGszOdMOX3Ndn0L+QV6XIkpfW1z5rjtjg9nT0TbLLbU5s9cVCr5qsilw1cxd/IPFsVJzs/CHa19P+MXM0p+boxGERskbGMcP34DsbG2SYy2lZVfrC+VfFUk7loC3nlkDoxG00sravWx0BvTbVA78woMcdAZ/pvhfr0Es18VSU3JxsF99htIKoX9a46USr4qkpFc2GbJySh9vXQvvdGAK5n2638DAH0ZbZbyzB7zdYnkq7sdWHsMv762RMqqSSYhIQHz58/Hnj17sGfPHsyfP9/RVSIiIiswAUtCbm7/jTbPyTF/kWIrdydd3Tv71ZQpU5Cfn4/hw4fj4YctG93naBqNBs7OzjAYDBb9KyjQYcUX/5iMGXslHgfWHTMZJz7X/p1qd4vPjTZZvyMbT5hNUlk1bwO0+VqL/3YGg8EuSXkV3ad/f77OZLystBxs/nWHmc+Fo9cI10KrvYYLZjrprYpcoMeVqIRqsz9Xz9sAvYkbrnpd4Tbm4mTkO+aGhlHUIkt73WTdMlOzsGHBvybjnNpxDpHHrlX77+emX/4tM/nqbivm/mNRrNvZ6UgvkGYUmiUuZyRCq9OVqsfh3dIcLy6fj8WdxPRqtT8PrD2K2Cumb/qu+PIfFBSU/rvd/S86W/pRv5bQ62RIzLTfLE0X4hOr9P68evI6Tpi5mbj5lx1IT84wHytT+vOXOYn5aUjPzyquw9lz0n+uzp27VW2+n2lJ6djy206TMY9uOoWos6avIQsKpJtFzBpa7QUYDAZcuCj9Z+rCpTjo9fpqsT8LtAVY+eV6kzFvXbqNQ+uPm4yT4OBBIwm5pq9lDv5zDDFmrn9Xfrne7HmlOuxTc22WzJQsbPltl9k4MdmpyNTZd8ZBALiYFleiHqePSdsePnE4qlrtz1VfbTCZqKIr0GPN1xtNxsjUOv6G3KVI286mdiUyvlrsz40LtiMnw/QS1SvmrjMbJyP/MgDTN5ltIVcfC63O9PVaQYHO7HklJvI2Dv5jui+sOuzPfasOlzsYsciKL/6Broy23r3/zqfabwBQkfOpcRa9T7N9YanZ2Pzbjmq/PyOPXsXpnaYHRWz4aRsyU7Msjpmdm48b8bZNcrlwo3Q/3JVLtvs8Xbl0u1rsz5T4VGxdtMtkzIPrjiH6YozZWBfT7d8GjcyML9GeiI9PQ3x8uqRlnD59s9p8P7X5Wqyat9FkzBvnbuHo5pOmv5MWJhLbSnZ+YRs0JycfkRJ/T0+fLL/9XRX36V+fmT63pCdlYOui3Wbj3MhMQr5RmsEaFXEpvfSx8N5/l49fw8l/Tc/ku/Hnf5GRklmhc6g9LFu2rLgsURSxZcsWpKZWr6RNIiLiEoSS8vX1Lf45MdGyTGxbKFoKUaFQlEgK++2337Br1y64ubnh66+rzswrf/75J5YuXVrmc1lZWRg1ahSGDh1q8d807moCkm6WPQrubvvXHUa9TuUv8ZeWnVLuc/aQnpNi8j3vX2d+2vuUuDSc2n8WNSNCLC536NChWLBggcXbW2PMmDEALPue6LR6nN1jPtHm0IZj6DaufbnPO2Kpunslp8TgdpzKJrFjYxMQ6Ft62tyqtj8B4OgW8yPHjm45ZTZets7899xWkpJvIkdW/nTpZ3ZcgDbX/CjafWsPwj3ExeJyq+L+PLzR/FJ9Z/dcROyt21CqTV92ROXY97hbYDTgVvxtaBQlv5dJiWmSlXEjKgY6Q9nLBFTF/bn/H/PnlqSbyTh7+DyC65a/3HJitmOugwx6+077npKdU/y3rYr7c8+aA2a30eYV4OCmI2jRu4nJ7ZJz0i0qU2rRCbHwVxUu15piZrZLaySnZJb596yK+/P45jNlzh55r71rD8LZt0e5zxtE6Y5x1sjKSkROdiJSUqTfnwaDEbdu3YaTU8lroqq4P2MuxSH5tvmO1P3rjqB2uxrlPn+nwP43jkuUn5YA15zy3/O+dYfNx4hJwekDZxHawPJlsaraPtXmFeDCgctmtzu88Ri6jG5jcpsbOY65xr2dmoxEp//ea0pyhqTx7ySllvu3rGr7EwCObT1tdhtzbZbcAsffLLmTaNt2cPKd0ufRqrg/LWmznNp5HnG34yA3sYxQptExgwwAID7pBlRC+Us8xV6Ox50Y8+2p/f8cRp0ONS0utyruT0vaLPFRiTh/9CICavmZ3C4m2f4z2salm+7vA4CCvAKc22d+YNChjcfRdYzp5VDvVhX3pyVtlvwcLQ5uPopmPRtZFDMhLRvGMmYOk9LNuKRS7zEu1nbn8NsxydXieHtk/SmTgy6L7FlzAH0mdTO5TUyqfWfXAYB8gw6xCfFQyQrPBTejpe+nio+7U23aoNHnYpAab779uG/tYdRsGVzu8zlG+yfT3S0lLRZ5skSkpkg/acKdpPRqc42bl5WPyCPml/U8uOEoOoxoaXKb6Gz7zthbJC4tGYlq0+9175qDZuNoc7U4uOkImj/U2OKyBUEoc1ZKKf35Z8kZlXU6Hf7++288++yzNi2XiIikxQQsCTVv3rz455MnLVtuSWpJSUmIiyvshG/QoOR65XPmzAEAdO/eHfv27Sv39UWWL18OoDCLfvDgwbaoLoDC2cLuLvdeubmmRyney5JGXuF2ppcQEx0wqrEi5ZurfxGd1rLtqiqj0WjRha35/e7Y/VnICIOZKZmtpTfY9uJfSpYseWDJ99ix31Fz30/LjkNlLWlS3ej15veDKIowGgwwd9lh60ZsWYwoXaZRwu+TwYK/T1Vi6ZIkejOfXUfsy8Jy7VuerTv1K8viY5EF1wqO2qfGu4635pY1sCp+dTp/WnqNa3Z/Ovq4VPg+bPX9MVSTfWpxm8Xc8baM85g9mbses/Rza+l2VZWl9bfk2s9R+/Te76TRKG09qst3s4jBgva2+e+no4+3gCjxfryX1J8TW7GofWkUYTSIkJtqsjjw2s/s8dbS6/hq3kcEVOCayKJ+BQe0QS34HBkMlh0/7of9KVU/7t3s8VUtaz/aslxHtccqSsprP0e95cI2aGECli36cS39flcFlh9vq3obtLB8W1y3VKv9aem1QhU9fwIl+4jKU1375SMjI3Hq1CkIggCVSgWttnBw959//skELCKiaoYJWBKKiIiAr68vkpOTsW/fPmRmZpZaAtDWtm/fXvxzly5dSjxXdMLesGEDNmzYYDbWqFGjAABhYWE2TcDSaDTw9y97FF9WVhYiIyOxdu1aTJkyxaJ4Hm6ecHFzRm6W6WWsmnWKQEBA+bN3eIhegPkJbGzGzcXTZP2adorArj9NZ/OrnVVo3qkJNO6Wz7Dz008/WbyttZYsWQKNRmPxPg1tEIzYy6ZH90e0b2Dy7xWXpIHB4NgZH3x8ghEUKNgkdmhoQJnvvyruz/qt6+DoJtOzYDVoU8fk/gSAlBQvWLAkvU34+gTDXVV+/Vp1b27RqJgW3ZqafZ93q4r7s1HberhyxPTyR6ENglGzlvlR1rku9r0sEQDUDAyG6p67LN6+0p27w2qFICDAq8znquL+bNKhEfb9ZXpEuYubM5q2bwwnF3W52/jKfYD0itRUGnKFfTu+3Jydir/DVXF/tujaBKs+M71cAAC07tHC7LHII9kVcMAxt4Z/CLzVhTO6enu7A5B2lKW3t1u1OX+26t7c/EYAWnRvZnJ/Jqe6o6DAolA24ebmB1dNALw8XQFIO+uEIADh4aGQyUpeb1XF/ene0QNqF7XZGTObdTbdZknP8gcqNl5FUj6efghwM91m2bvc9CxYzq5OaNahMZw0ThaXW9X2qegvIqhOAOLNLInVuIPpNgsA5GTZdzbHIv6e3iXq5unlBim/o35+5bdvq9r+BIB6revg5PazJrdp0Lauyf15+44Hsu23unaZPDxdANiuEu7uLqX+BlVxfzZqVx9RJ6NNbhPWOBShNU3PHq7MD8J1+0+YBAAI9KsBldy73Oc9XD3gpFEjP8f0eaVp58bVvg3apGMjHFxtelYzjYcLmrRtBJWT6VnI/fPtP3Ovn7vp/j6g8LwSXDcQcddMzwAUYcF55W5VcX+26NoUa7/cYnIbQRDQqltzBASYntGsiFpj+/74QD/vUn97H18PALaZ6cfH16NaHG9b92gBYLHZ7SzpDwtEKnDTomIlIxcE1AgMhkyQAQB0utKrDVRWYKBvtWmDunZyg9pZBW2e6QZkMzPnltTcADhyFTUvz0B4OgfAVeMheWzfMr6bRaraPvX3F+Ff0xdJt0zP1te4Q0Oz389UJwPggNW2/T1KH3vv1bxrE6yeu8nkNoIg/H9fWPmzi97LnrNfTZ06FStXrkRMTAwOHTqE6OhohIeH27R8IiKSjszRFbifCIKAiRMnAiic1emXX36xa/miKOKbb74p/v3RRx+1a/nWGjt2LDZt2lTmv6FDhyI0NBR5eXmQy+UW/dO4uaDvxB4my3Rxc0af8T1MxvFzDrXPH6Ac/k6hJuv30JhucPXUmIzRe2w3uHu5Wfy3k8vlyMuzfQ9xTk5OhfbpI1P7m4wnkwkY9GxfkzGUito2f1+mCVCr6iC8RtlLkVVWWKhP9dmf0waYjTlkan+zcdzUdWz+3somg5u6tsm6hdQJQvuBrUxGCazlj/YPt6r238/Bz/WDIJhOLBzyXD+LYoW7+8LJ5JBzaYW7+cBZpS5Vj8Ytyl+etiL8Aj0QEOxdrfZn3wk94OLmbDJm3wk9oHFzMf0dcCl/6nlbUigNcHOy32eogb9fld6fbfu3RHAd0x1TbQe0RGi9YPPfT9dAm7+/e7kpnOHr7FFch7BwX/MvqqCaYb7V5vsZ1qgGWvVpZjJmjQbBaN27mck4SqWjzp+FVMq6kMvlqGGDa6LQEG8olYpqsT9dPTToO767yZgaDxc8NLabyTh+TpYvI2ULvk5hJuvXZ1w3uLibPq/0Gd8dGneNxX+7qrhPFQoFhjzXz2S8wjaL+WuicHff4mVv7Km+Z0CJetSpL+1xv06DoGqzP+VyOR6ZZroNCphvs7gqpbmmrIx6DcpfwlQKdeoHVov9OWSqJW0W821Qd6e6Nn9vZVHJvOCkLPuapeifxl2DvhN6mIzj4u6MPuNMn1eqw/7sN6knnDTlDwYBgP6Te8FZ42w2VkNPy5OXpNLAK8BsvRQKhUV9YYPN9IVVh/3ZYWBrBIabTqzqMLg1gmuXPt6U98/HwxUB3m42fZ8Na5bej3Ub2K7NVLdh6TZbVdyftZrURIueppf0Cm9cAy17NjUbq667/dugtV39oVQoi+sQFOQFjZnjTUXVqVv2MaAq7k93bzc8NKaryZhuXhr0Gt3V9DlKXc/m780Ujbo+5HI53Nxd4B8gbYJm7XL2Z1XcpwqFAkPMnFvkCjkGPdPHbKza7gGQwTYDzU2p52H+XND+4VYIqm36/N7u4ZYIqVN++6Ssf7a2dOnS4p/HjRuHkSNHFv++ZMkSm5dPRETSYQKWxGbOnAkXl8LZht555x1ERkZa9Dqj0Vhqfd+KmjNnDo4ePQoAaNWqFfr1K9kBHB0dDVEUTf7r3v2/mwBFj0VHR1eqXo4w8cORqN+m7JtLCqUcr/z+vNnkpWBnx96cMle+i5szXvtzBpSqsm80124ehic/HWOLqtnd4Of6ouOQNuU+/+yXExHWyHTCnEpl+oalrSkVdSCTadCofhBqhUl7A7ldy3AE+Nl3tr3KaNu/BYZOLz8Ja+j0AWg3wPQ68wDgrrJ8jXYpaZS1oJCZPn4AwIwfni63E9HF3RlvLJ1pl8abrYU1CsVzX00s9/mOQ9pgyFTTNySLKGQyNPKwXwdbE8+gMh/vPaQl1E6VH+U4YHgbyOXV61LL1VODV/+YDoWy7M9mvda1MfGjkWU+d7cwTQ3IHHCZKQhAo0Dpk3TK0yTI8pFyjiCXy/HG0pnlJj8EhPlh5o/PWBSrgbttb+CWV+bdN0sH9G8OM/dOK0QQgIcHWDarVFXx4k9T4FdO4pKrpwav/TkDMpnp755K6dj3XHRN9nB/6a/NbBHTlp6cPRp1W9Yq8zmlSoHXFs8wO5Otj7omFIK0N4UspRTU8FGbPjZoPDR4bfGM8s8rrWph8sejbFE9uxs6fQDaPVz+Ney0b55EaL2yrz3uppTJ0cDD/gkBER4l6zbgUdODCSrCRaNGj75NJItnDx0Ht8FgE0l1w18chNZmkmI91I5prxRRy/3QuLFtE4YaNDL/ma4KajWpiWc+H1fu850fbYeBz/Q2G0ct94GT3P7fT3d1hNkEMgCY/PEo1GtV9nlFoZTj1T+mQ+Nhvi1b1bl7u+GVRc9Drij73NKwXV2Mf+9xi2LV9/CHUrBvu6WJl2XfmyHT+qHDoNblPv/cvEmo0cD0rG3VgVwhx+tLZ5Y7ECiwlj9mfP9UheM2Cbfdd1UQgEZhpeNHNLNdmymimWMHClfErJ+fg29I2TP2uXkVtlksOabV1HhDo7DvdW4jj5KDyVQqBfpKeA0TFuaLJk2qz74EgKfmjEXtZmUnlSvVSrz25wtwNjOTrbOyHgQHtVnkMg+oFYXfTUEQ8PAQ833OllKrFXioml3jDpv5MNr0K79PYPp3T5pNXgIAF4UKtdwsm5VQSo3czQ/4lMvleH3JC+X2hQWG++GF+Zb1hdnL/v37ER0dDUEQ0LBhQ7Ro0aJEAlZl7x0TEZF9Va+7gtVASEgIvvvuOwCF2efdu3fHnj17TL7m4sWL6NevH+bOnWtVmdnZ2Xj55Zfx+uuvAwBcXFzsPvtWVaNxd8Hcne9i/HuPwze0sMEnV8rRZVg7zNv/EToPbWc2RoC6JhSC9NMMW0IGGQKdw81u1/7hVvj64MfoNqIDFKrCjiefYC+Me2cEvtr7Idy8XG1cU/uQK+R4d+XLmPb1ZNRoWHiRLQgCWvRqgk82v4lHZzxsNoa6itxsFAQBjw5oIWnsoSZu9FRFgiBg6rxJeP3PGSUSJeu3qYPXFs/A1HmTLOqIcVdHQHDASroe6qYWbecX6oNvj8zGY7MGw92ncOSlylmFvhN64Pujn6JRe8eO/pLSozMexieb30SLXk2K912NhsGY9vVkvLvy5XI7xsvS0T/cRrUsq6yyb064uTuje3/L9nN55AoZ+g8rv7O8Kuv0SFvM2/8RugxrB/n/3zD3DfXG+Pcexxe73rNoWVuVTIWaLvbvVHSWO6NHHft9tzpasLSmozVoWxffH5uDvhN7QOVcuASLu48bhr84CN8emQ3/GpYlrEW41yxehsFeGnuU7OQNCPRAhw7S3Uhu27Y2gkPKXiK0qgoM98d3R2Zj2AsD4eZdeJ2ndlGh/+Re+P7Yp6jf2vwAApXKcddEclkg5PLCRNvwMF+0aC7dd0iplGNAv8odu+1N46HBF7vfx/h3Hy++SSVXytH1sQ6Yd+Ajkzddi8gEOQKcHDNwJMCpLmSC+XN8x8FtMO/Ax+gyvH3J88q7j+OL3e/fF8kAAKBQKvD+mlcwdd4khDb4/zaLTECr3k0xZ9vbFiekA0Arb/ueX+q6+cFdVfLGWXCoN9p0lOaY22dQczi7mF4GrKoRBAHTv3sSr/4xHfVa/zebcsN2dfHG0pmYMne82TaLoxOwPFQRaNuhDtzcLF/esyJkMgE9H3Lse6yIx2YNxscb30CLno2L913NiFA8/+2TePuvWRa3WTydWtiwlmXzUlt27i4+r9zbFza8PeYd+BidhrS1ZTXtquvwDvhq34foNLQt5IrCa1T/mr6Y+MFIfLbjXbOz+hZRyxVo4WO/dkuoiweCnC0bQKdQKvDuqnv6wmQCWj7UFLO3vIWhz5ufXby6iOhQH98dnY0+47tD9f+DoTx83fDYrMH49vAn8A2p+Myp/ds3krqaxTo1DodXGZ+xJi3DEGSD9kVomI9Nk7ukFlQ7AN8d/RRDpw+Aq1fhdZ6TRo0BT/bC98fmoE7zcIviyAQZWnrZ95qopXfpRKPBj0iXlD7kkVYW9XlWJW5ervhy7wcY+/Zj8Aku/HwrVHJ0G9EB3xz82KJBtIKggMZRA2lVTUsO7BrUAgqFNH0bPfs0hpuZ2X6rGqVKiQ/WvYpnv5iAkHqFbXNBJqB13+b47N93MPCZPhbHamHn72dtVz+4qyz7ezdqXw/fH/0UfSeU3RfmF2qbVUqsdfcMV6NGFQ5QatmyJRo2bAhRFHHlyhWcOHHCUdUjIqIKsv+d6wfApEmTEBsbi3feeQdJSUno0aMH+vbti0ceeQSNGjWCp6cnUlNTceXKFWzcuBFbtmyBwWBA8+Zld6jodDqcP3++xO/p6emIjo7GgQMHsHLlSmRkZAAAPDw8sGTJErRsWb0SMmzB2dUZ494ZgVFvPIqYm7FQqhQICg6yeMYZhUyJRu7tcS5jv41rWloD97ZQySzrJK3XqjbeWDoT8XHx0Gl1qBFeAwrF/ffVlivkGDp9AAZP7YuY6BjIFHKEhAZbvD+dnbpBEJwhiraf+rcsLk7/dYz17dEYP/6+F7l5BZWOG+Dnjo5tHL28YsUJgoBeo7ui+xOdEHvrNgAgtGZIhWaEUsg0CND0RkLOFltVs0whrkMt3tbTzwNT5o7Hk5+ORkx0DJROSgQFWX4cqk7a9muBVr2b4nZsHIx6A2qE17DqfY6o1RI/Rh6AEaINavkfN6UaA2uU3/kzYmIX7NlyDtp8nVXxB45oB29f2y55YEsN2tbFW3/NKjy3FOhRIyy0wueWrn4dEX3zlo1qWLbOPu0xNKAx5u0+iAKDwaZltQwNQkRg1Z4Bq0hovSDM+vlZjPrgEejyrbtW8FS5orNvBPbdOW9+YwkIEDAgqPRNwiGPtMKhQ9ckKWPwEOk60u3JO9ALz301EU9/Ptaqc4tSEQGFog70+igb17Q0Z+chJX5/ZHBLnD4jzXGiZ/dG8PAwnyBa1bi4OWPcuyMw6k3r2iwA0MijB27nXbRhLcsv11IN2tTBW8tfrNR5pTpQKBV4dMbDGDKtn1VtliLDw1vi96jDNqplaSPCyz4eDn2iHY5X8pgrkwkYNLz82YyrMkEQ0HtsN/Qc1dmqNouLoiZclXWRrZPmvFVRAZqHoFYr0Xdgc6xafkTy+O071YN/oIfkcW2p3YCWaN23WaXaLKGuQ5GQs9VGNSyLgBDXIeY3+3+V7QurThq1r4d3VryEuNtx0OsMVp9bnqjdEseS7dNuGVmnYskXCqWiUn1h1UmNBiF46dfnMPqjoVa3We7WrXltBHi5IjEtW8JaFnqsR9l9+DKZgCGPt8NPX0l7jBjyeLtql7TjE+SFaV9PxpQvxleqP2xYzTbYf+eqjWpZkkahRv/g0rMZhYX5olWrcJw8GV2p+C4uKvSpZrMlFdG4u2DC+09gzNvDC/enWlnhc4uP5hFka0/asJZl89U8UuJ3bx9XdOvZCDu3X6h07CGPVs+Bl0qVEsNfHIShMwZU6twyrGZrrLp13Ea1LKu8irUpQusHY9Yvz2LUh9b3hdmDTqfDihUrin8fPXp08c8jR47Ee++9B6AwSat16+r5mSMietBwBiwbefvtt7Fq1SqEh4cDALZt24Zp06ahV69eaNWqFXr37o2pU6di48aNMBgMaNy4MT777LMyY8XFxaFp06bF/1q1aoVevXph8uTJ+PXXX5GRkQG5XI5hw4bhzJkzGDhwoB3fadUnCALUzirIrFgGqp2P6TWxbaW9T8VHscnkMqhd1NWuQW4NlbOq3GVMyiOTuUPjMsxGNTJNLguEi/N/nyUXFxWeHtdVktjTnuxR7ZY4u5dSrYBSbV3jp4abfZes0Shrw8up4qOGBUGA2kVtdlmo+4FCKS8eWWSNEI0negbbfgaj4eEt4Kwof5bDGrX88MbnT1h17mjTuR6eeckx5w+pyeQyqJ1VVp1buvp2gkpm39kuegf0gJeLMwY3aWjzssa2aWHzMqQmk1XuWuGRkE4S16h8HX0bIdC59LIVbdvWRteuDSodv1OnepLOpuUI1p5bBEGAq2aibSplhqtmfInfu3auj2ZNKz+a383NCePH2u/zaQuVabM09ugFpWCbGW7Ko5Q5I8KjV4VfV5nzSnVjTZulSD13f7T1LXupF6k5yRUYWrNFmc+16VQXjzxhfvZoU6a82A81a9l/eRKpWdNmEQQBYe7ml262BaXMHcGawn6FJ8Z2goentAmqSqUck6f0lDSmPVWmzeLn3BnOCvvNmOTn3BUuyoqXV5nzSnUjV8grdW7pH9oI3mrbJ3ErZXI8Ft7C6tdX5rxSnVS2zVJEIZdh+nBp+t7u1qZBDXRpWvZs2gAw5PG2qFM/ULLy6jUKwqBh1TORGah8f1j3gAYIcLJs1rjKGhTSAi7lLHn44kv94VmJc6kgAK+8OggajWOW4ZNK8f604tziq3kUMsG+A2bkMg/4uAwq9fiU53sjoJJJ5KPHd0a9BtVjKWZTKnNuaeIZisYe9lkK10mmxCOh1k06IdV5xVY2bdqE1NRUCIKAdu3aoXbt/wbbjxkzpvjn5cuXQxRtO2CZiIikcf+3wh1o2LBhuHz5MpYsWYKxY8eiQYMG8PLygkKhgLe3N1q1aoWpU6dix44dOHfuHPr27WtRXBcXFwQFBaFp06YYO3YsvvnmG9y6dQurVq1CWJh9OmkfFGEuEQhwCrdrmb7qENTSVK/lU6oLNwfdbHRzHQdBKNlZP3xQKzw2uHIjFp6b2B09OlX+JnR15uXUBu4q+31fanlMrrKNtfvJq017w0luuxFJfk6umNrIfEds+24N8MG3Yyu0ZE73/k3xzlejHoiOcXM0Chf09JO+w7s8zTwao4ZLYcfPrJ6d4eFku47NdjVDMbDxg3f8beVdF009yr/ZIBUZBIyv1bvM5wRBwOtvDEaTJtbf+GzUKBhvvDkEMtmDezzXuIyAINh32TcndQ8olSWXypPLZfjw3UcRVtP66f+VSjk+fn84QoKr13KSUlLLNWjqZVlbUirNPPtCLa9+M45VJ8836mGXcibW7Vhq+cEigiBgyov98NDDzayKPeapbhg6sn1lqlftBbsOgsLOx1sACHV9FHJZ4RItXl4aTJd4cMC4yd0QXrv6J9ZZQxBkqOPxlN3Kq+Npv7IeVGq5ArOa9LB5OU836Agfp/tj2d3qon+7BujeQrqlmp3VSrwzoY/JdoRCIcdL7z4CtVP5A74s5eSsxMvvDC1eZvNBpJDJMa3BQzYvx1WhxuS65fdfBAd74ePZI+DmXvFBD4IAvDCzH7p2e/D6EO6mkLnBz3WEXcv0dx0FWRmrjHj7uOLjuSPh7WPdMfnhwS0w8enula3efeG5+hUflGONMbU7Wrz8YHXz559/Fv989+xXAFCnTh20bdsWoigiMTER27Zts3f1iIjICg/u1budqFQqjB49GosXL0ZkZCRSU1Oh0+mQkpKCEydO4Pvvv0evXr3KvKEfHR0NURRL/cvJyUFcXBzOnj2LxYsXY/r06QgODpakvrt37y4upyLee++94tf16NFDkrpUBYIgYHDwMxBgvxt0Q4KfhUzgV9MW1Kom0LgMt2uZcnkw3F3L7jCd/lRPjH+8Y4VjymQCZk55CKOGVW40+v1AEAQ08fsQgh1W1PVx6ohg10dtXg4B4W4+mNXEdg34D1o9DE8LG+1tOtfDgjUz8PikrvDwKv9Gc+tOdfHu16Px2qcjoFJXvqP1fjGixlD4qErPYiQ1tUyNybXGFv/u56rB2/1sMyuDs1KBTwb1gewBTMaUCTK8GvE41DLbfsafCOuBhu41y31erVbi0zlPoGPHis9g1b59HXw+dxScKzFT3/1AJvOAh/tbdixRDU+PD8p8xt3dGV99PgqNGlZ89LCbmxPmfvoEmlYiIe9+0cVvHFwV1ieyVYSbwhdd/MbZpawHWTvfcIyuXfGZVyuinrs/nmvQzeQ2crkM/3tvKMY90wNKlYVL72nUePGtwRhfjWdIkopS5op6XtPsWqZK5o3ank+WeKx7rwiMGt9Zkvg9ekfg8TEVb8feT2q4DYOPk+2TC8PcR8PbqXoumVzdPF6rJToH2G6gQQMPf0yLsN/gFCokCALen9QXDWpUPmFULpfh0ykDEeJnftacOvUD8f4XI6G2crZ3oDD56oOvRiO8bvVY9t6WhoS2RBc/286U/lLEAAQ6m963DRsG49tvxyO0huV9HC4uKrz73jAMHsJjOQCEes6CUh5gl7LUihoI8Xi+3OfDwn3xzU+TULuO5d8xmUzA+Ce7YeYrD3OA7v/rGlAfQ6ycmcpStV398Gy9+7NdkZmZiQ0bNgAA5HI5Ro4sPXvuqFH/rQCyZMkSu9WNiIisxywPIjPCNI3Q0af0VLW20N57AGq5Vs+14KsLb88PIZfZr/PC12suZLKyp8oWBAFPje2COW8PQ0sLlt8RBKBjm9qY99ETGDaQDfcibqr6qOM11aZlyAUXNPb9gI1rOxpftx0G1WgsedxnGnTCQ8EVG3XoF+iByTP7YvHWl/Hq7McwfEJndB8Qgd6PNMWE5x/Cr//MxMfzJ6Bjj0b8jNzDWe6EZ2pPsHk5o2s+Bj+1b4nHBjdpiIntpO0EkgsCvhj6MGp6e0oatzoJdfHDc/Vsd11UxzUIE2uZn8nH2VmF9z8YjtdeH4xGEeYHIjRsGIRXXh2IDz967IFPviriqhkPtUqam/HmeLi/AqWy/JsmXl4afPnZKEwc3wW+Pq5m46lUCvTv2wTzvx0vyRKG9wMnuSv6Bc2wS1n9gmZALecMHvYwq3Fv1Hb1Nb+hFZzkCsxuPRQqC2YdFQQBY5/ujqUbZ+GpGX0QFFL2jHO16wXghTcGYemmWej/CNsrRcLdx8BLbdsbU3dr7PsW1PLSN4cnPdMD4580nXBnTv9BzfHa20MhfwCWtTNFEGRo6vsBFIL5c5a1XBQ10cBrps3iU0mCIGB2m8EIcHaTPLabUo0v2g+FSsZZkh3BzcUJ8196DM3rWj94WeOkwlfThphcevBeLdvVxtwFk1AjvOLn8Zq1/DB3wSQ0bx1e4dfejwRBwDvNhsJPLf33EwB6BTbCozUsu26pUdMHvy18Gh98OBxt2pT/eQgL88X0GX2x/O/nH/iZr+6mkLmjts9su5RV2+czyGWm2ywBgR744bcn8cGnI9C2fe1yt/PwdMHIsZ3w+19TMW5SV/b93eN/jQcgxMU2M1KrZQp81GK4RW2W6mjlypXQarUQBAG9evWCn1/phOEnnngCMpkMoihi7dq1yMvLc0BNiYioIu7PsxaRxB4KHIObuZdwO++azcoIdApHn0COJLc1ucwLPl5fICllPADbrpntqhkHZyfzozM6tq2Djm3r4MatZKzbfBp7D19FekYu9HojVCo5vD1d0atrAwzp1xzBgZ42rXN1VdvjaWQXXENCzibJYwtQoIX/13BW2mdNeyokEwTMafsIRAAbYy5IEvOp+h3xUiVm1lKplej5cHN069cEiYmJAICAgADI5exIN6WJRwTG1ByBJbdW2CT+Q/7d8ZB/6anfBUHAa326A4KARUdOVrocpUyGLx99GL0bSLeERXU1NLQz7uRnYMnNnZLGDXH2xWctnoZabtkMW3K5DH36NEGfPk1w5UoCNmw4hatXEpCengMA8PTUoG7dAAwa3BINGlR8dqX7nSDI4O31FRLvDITReMdm5ajV3eDmOsXsdk5OSkwY2xljRnbAgUPX8M+GU7hw8Ta0Wj2Awv0dGuKFh/s3Q7++TeHhfn8uP1AZddzaob3PCBxJsc3xFgDa+zyO2m62nZWJ/qNRqPBL57EYv28RYnPTJYurlMnxdbvH0dizYsdGd08XjBjXCcPHdMTlC7G4fi0W+fk6BAX7IzDYC7Xq+vOGVBkEQY5mfh/hwO0noBezbVpWsGYQgjRlJzILgoBxk7uheaswfPHJBsTdTrM4rqenC6a/PADdejaSqqrVnosyBK0DvsGxxOdgFLWSxlbJfdA28EcoZFzq1Z6CXNzxe7cxmLBnCRLzsySJ6apQ45cuI9HAg7MYOZKHxgkLXh6BJdtP4Md1h1CgN1j82g4RYXhrfG8E+ZQ9uNKU+hHB+OHPKfj7j/34Z8UxZKTlmtze01uDISPaYsT4zlCpeNvmbgHO7pjffgKePrwQaQU5ksXt4FsHn7YcUaHrF7lchs5d6qNzl/qIjU3F6dM3ER93BwaDEYGBvqhTNwBNmoTymqgcns49EeT+LOIzf7RZGaEeL8LdqYNF28rlMnTsUh8du9TH7dhUHD10DXG370CnM8A/wBuhNXzQoXM9fidNcFc646f2EzHp4C+4o5Xm/AkUtlnmth6Jxp73b5+8qeUHiwQFBaF79+7YtWsXcnJysGbNmnK3JSKiqoFXDUQWUMnUGBf+NhbeeBeJ+dGSx/dTh2JC+LtQy3kjyR5cnHvD23M2UtNfs1kZzk594eP5cYVeU6umL2ZO6Y3pT/VEQkICDEYRIcFBTO6wgCDI0dRvNgQIiM/ZKFlcmaBGC/958HWxzwwhVJJSJsfcdkPR2DMQ8y7sRoHR8k7Su7krnfBmi74YWrMZO8Ac5OGgvjCKIpbFrJQ0bi//bpgYPrrc/SoTBLzeuxuaBgXggy07kZFv3c2xBv6++HRwXzQOss9U+dXBU3UGwFmhxq9RWyBKkNBczy0EnzZ/Ej7qit/YAID69QMxa9YAGAwGJkhWgEJRA36+y3EneQSMxlTJ46tUbeHr/RsEwfL9oFDI0b1rA3Tv2gAGgwGxsXEwGIyoWTMECgWbr+Z0858EnTEfJ9PWSx67lfcQdPOfKHlcMi3IxQN/dpuE5w4tw6WMhErH81A6Y177EejgZ/1SWzKZgPoRwfDwKfxu83hrnkYZhjaB3+NowhQYxXyblOHr3AlN/cpe7vVuzVqE4efFU7B7xwX8s/oELl+KK3fbGjV9MOjR1ug7oBlc3ZykrO59wce5HdoGzMeJxOnQi9IkBDjJA9Eu8GdolOUvx0y2U8fdF8t7TcCLh9fgdOrtysVy88VXHR5FI0+2IaoChVyGCf3bon+7hli97xzW7DuHlIyyE6Lkchl6NK+Nx3o0R9uGNSrVj6BSKzD26R54fEIXHN57GRdO38LVyHgk38mAAAE+fu6o1ygYTVrURIduDaBU8nxannruAVjU6UnMPL4UN7KTKx1vYEhzvNvsEYsHAJUlNNQbQUEebINWUA3PV2AU85CY9bvksYPcn0Wwx3SrXhsS6o0hw1pzf1qhhsYbizo/jelHF+N6duUHeLkpnfB5qyfQ0a+uBLWrmmJjY7Fnzx4AgJOTE4YNG1butqNHj8auXbsAFCZtMQGLiKhqYw82kYU0Cnc8WftDLLs5BzdyzksWt6ZLQ4wOex0ahXU3HMk67q4TIECOlPRXIPVMWC7Og+Dn/T0EwfoGvCAIUMiZKFIRMkGJpn5z4KZuhGtp38AoFlQqnquyPpr6fQJ3dYRENSRryAUZnmrQCT2C6uGTM9uwP/F6BV4roF9II7zWvA8CnXmMdbRBwf0Q4OSH3278iUx95UbEqWUqPFFjGPoG9DLbGS4IAgY3aYgO4TXw5a4DWH8+EgUGy5L5fDQuGNemBZ7q1AYqdrqVIAgCxoY/hGaetfHZxb8Qm2ddB7hMkGFsWC+Mq9UbShmbJo6gUkbA33cN7qSMh8FwU7K4Tk594eM1H7JKzt6hVMqhVMqZQGshQRDwUOBzcFX6YH/SYhhhXfLy3WSQo6v/eLTzqdjsACSdAGd3LO/xFBZc3oefLu+DXjRaFad3UEO822IgfJ1st2walc/bqTXaBS7A8cRp0Bulmx0AAPxdeqKl31zIBcuW2VWpFej7cHP0fbg50lKzcSUyAdHXk5Camg6FUoYGDWuiYaMQ+AW483tvho9zO3QOWYFzye8gNf94pWIFawYiwud1qOSe0lSOrBKq8cTyXhOw8MoRzDu/B1qjvkKvlwsCnqzfETMad4P6Pl0yqToL8HbDc490wpTBHRF7Jx3nb8Tj+q0EGEURAX7eaBQWgHqhfnBWW9+nVxaVSoFuvRujW+/GHDRSCeGufvir61T8cGUn/og6AKMVfbreKg3ebDoYvYMa26CGZAlBEBDm9S5U8gDEpn8JERU7zpYZEyrU9HoNge6TJKghWSPUxQvLuj6H+Zd34o/r1n0/AaB7QAO83fQR+DnZZtnRqmLZsmUQRRGCIGDgwIFwdS2/jTZ8+HBMmzYNBQUF+Pfff5GcnAxfX9ssVU9ERJXHViBRBTjLXTGx1vs4krIR2xP+hK4SCR4KQYXeAaPR0XcQZBWYFYCk4+Y6FkplXSSnvgi9IbrS8QTBCV7ub8DN9UkIgqzyFaQKEwQZanlMhp9zD1xMeQ9pVnSAywQ1wj0moY7ns5BZeAODbK+uux9+6zoGN7JSsOz6CRxMvI5rmcmlGvNKQYb6Hv7oEVQPT9RqhUAXJl5VJW29W6GBWz38cXMZDqUcsypGhHsDPFVrPAKcKraMh5+rBrMH98UrD3XF6rMXcfDGLVyIT0Rqbl6J7Wp6eaBxUAD6NKiLvg3rMvHKjGaetfBL+1lYHbMf624fQmK+ZcsZKQQ5evg3w8iwnqjrFmzjWpI5SmV9BPrvQEbmx8jOWVipWILgBk+P96FxGcmb9g4iCAI6+D6BWq5tsPn2l0jSWp68fC9/p9p4OPgl+DvVlrCGZA2VTI7nG/VAv5AILLp2CBtjzlucFNDZvw7G1G6HHoH1+L10MG+nVugSvBLnkt9BSv6RSseTCWo08HoB4e5jKjTb4N28vF3RvlNdtGlfiwkBVtIoa6J94G+4lfU3otJ/Rr4hsUKvd1XWRX2v6QjUPGSjGlJFFQ4E6ohHw5th5Y0zWBZ1ArdzM0y+xketweO1W2BU7VYIcvGwU03JWjKZgJoBXgjxdUdiTU8APPZVF2q5Ei826ofBoS2wPPoINsSeQZ7BfB99qIsXHg9rh0drtIa7iqtQOJogCAj2eA4ezt1xPfl/yNVdtDqWRtUcdXznwll5/86WVF04yZV4MaIf+gU3weLrB7Et/gL0omWDgtr61MLoWh3QM6DRA9FmuXv5wTFjxpjc1tPTE/3798c///wDg8GA5cuX4/nnn7d1FYmIyEpMwCKqIJkgQ0ffwajv1gZ77qzEufT90FcgEUshKNHEozO6+T8GP/X9u351deGk7oDggB1Iz/wUmdmLAOisjNMFPp5zoFTy5lRV4KqqjXZBfyBDex4xmcuRkLMZBjHP5GtcFGGo4f4Egl2HcsRxFVbLzQdvNO8LAMjT63AlPRG3khIgCEC4fzDqe/pDxVHGVZq70g3P130Gj4U+gn8T92DvnQPIMZS99EMRlUyFjj5t0du/B2q7hleqfC8XZzzZoTWe7NAaoigiKSsbN+PiIBcE1AkNhaemcrP1PIic5CqMDu+FJ8J64EhKJI6lXMblzFhcy76NgruSA4KdfVDfLQSNPcLxUEBLeKvv79GM1Y1MpoGX5ydwdh6MrKxvka/dVaHXC4ILXJyHwd1tJhQKXuNWBQFOdTCu9te4mLELp1M3Ij7/ssWvDXJugJZeA9HIoyfkAs+rVUk9d3983OoRvNKkL7bFXcK5tNu4kB6PW9mp0Bp0UAhy+Dm7orFnMBp7BqFXUEPUcvNxdLXpLi7KELQL/Bm3slbgatp3KDBalrx8Lx+nDmjs+xZcleHSVpCsIggyhLmPRA23x3Andy9islcjLf80dMb0Mrd3kgfA26kNarqNgJdT6wfiRmN15KPWYErDTni6QUdEZ6fifFo8LqTGIykzDaII+Lp7oJFXIJp4BaGOmy8UMg7GI7KXum4BeKvpEMxs2BeHk6NwMSMOF9NvIyEnHXrRCI3KCWGuPojwCEFTz1C09K4JGQfMVjkaVQQaB61FSs56JGX9ieyCUxa/1k3dFgFu4+DtMgAC2yxVSoRnCGa3GoGXtQOwPf4CzqfH4mJGHGJzUqE16qEQZPBzckOERwgiPILRM7AR6rhVbKBldXbu3DmcO3cOQGFy1cMPP2z2NaNHj8Y///wDAFi8eDETsIiIqjBelRBZyUcdhGGh09E/cCJOp+/CtazTiMuLQo4hs9S2LnI3BDvXRR3XZmjl1QsuXG6wSpHJXODt+QE83KYjK2cpsnIWw2C4bfZ1guAMjcswuGkmQK1qaoeaUkV5qJvAw+8jRPi+i+yCa8gsuIhs7XVk5aRCEOTwcA2EhzoC7urGUMv92eldzTgrlGjiFQS/gsIOtABPjlatTgKdAjA27HGMqjkct/PicSPnJqKzbyEtJw1GUYSXxgM1NKGopQlDDZdQqGTSLgEBFI649NW4wOBemAjk5qSWvIwHiVyQoZNvBDr5Fi7dqtPrEJNwGwbRiBqBIXBS8u9bHTipO8JJ3RE6/Q3k5CyFVnsIOt0FiMgvta1M5g2VshmcnHpD4zICMhmvcasauaBAU88+aOrZBwl5V3Ej+wQS8q8iIe8qcvSpMMIAGRRwVXoj0KkeApzqopZrGwQ6c/R4VeehcsaI8FYYEd4KALicUTVTmKzzBELdHkVCzjbczFyGdO0Zs6+TCy4IcR2Mmu5PwF1V3w41pYqSCQoEaHohQNMLoigiXx+PDO1lpKTFQ4AMPl4h8HRuBLWcy8ZUJzJBQG03H9R288HAkEY83hJVIa5KJ/QOaozeQVzesbqSCUr4uQ6Dn+sw5BRcQEbeXuQUnEO29jx0hkSI0EOAEipFIDSqJtComsDTuQdcVA0dXXUyw0ftipHh7QG0B1DYZklISIAgCA/0d7Ro9itBEDBs2DAoleb7PAcPHgxXV1dkZ2fj+PHjuHbtGurWZbudiKgqYgIWUSW5KNzQyXcIOvkOgSiKyNAlI0ObjDupdyCHHDX968DbKYCJHdWAXO4HT/cX4OE2HTr9NRQUnEWB7ix0+ljk52cBUMDFOQBqdTOolM2hUkVAJnDK6upAJijhrm4Ed3UjGFwMSCz4/84Yjwe3oUdUVcgFOWq6hKKmSyi6eHdgZ+l9RCbI4CQrXMpVKWOzo7pRKmrB0+NNAIAo6qHVXkZKynUAOnh5B0KlrAm5PITXuNVIoHM9BDrXA/Bfso4oGhEYGMTjLZGDyAUVQlwHIcR1EAoM6cjQXkBGwUXkFNxCbl46ADncXPzg4dQIHqoIuKrqQCZIn5ROtiEIApyVwVDJAmDMLLzG9XXmNS4REVF5NKrG0KgaA+AAg/vVg96HIIoili1bVvz76NGjLXqds7MzHnnkESxZsgQAsGTJErz77rs2qSMREVUO74QQSUgQBHiq/OAm94YyywMA4Knye+AvKqsbQZBBpawPlbI+gMdKNPa8OcMOERERPWAEQQGlsiEEwQsAoFbxeuh+IXAZFqIqQyX3hJ9LZ/i5dC55w9Gbx1wiIiIiovvBnj17EBsbC0EQEBwcjJ49e1r82tGjRxcnYP35559MwCIiqqKYgEVERERERERERERERERERGQjO3bsQFhYGABg4sSJFXptnz590LhxY2RnZ0Ov1+PChQto3LixDWpJRESVwQQsIiIiIiIiIiIiIiIiIiIiG/nwww/x4YcfWvVahUKBc+fOSVwjIiKSGtcbICIiIiIiIiIiIiIiIiIiIiIishITsIiIiIiIiIiIiIiIiIiIiIiIiKzEBCwiIiIiIiIiIiIiIiIiIiIiIiIrMQGLiIiIiIiIiIiIiIiIiIiIiIjISgpHV4CIiIiIiIiIiIiIiIiIiOhBt3TpUly7dg0A8M477zi4NkREVBFMwCIiIiIiIiIiIiIiIiIiInKwxYsXY+vWrRAEgQlYRETVDJcgJCIiIiIiIiIiIiIiIiIiIiIishITsIiIiIiIiIiIiIiIiIiIiIiIiKzEBCwiIiIiIiIiIiIiIiIiIiIiIiIrMQGLiIiIiIiIiIiIiIiIiIiIiIjISkzAIiIiIiIiIiIiIiIiIiIiIiIishITsIiIiIiIiIiIiIiIiIiIiIiIiKzEBCwiIiIiIiIiIiIiIiIiIiIiIiIrMQGLiIiIiIiIiIiIiIiIiIjIwURRdHQViIjISgpHV4CIiIiIiIiIiIiIiIiIiOhBt2XLFkdXgYiIrMQZsIiIiIiIiIiIiIiIiIiIiIiIiKzEBCwiIiIiIiIiIiIiIiIiIiIiIiIrMQGLiIiIiIiIiIiIiIiIiIiIiIjISkzAIiIiIiIiIiIiIiIiIiIiIiIishITsIiIiIiIiIiIiIiIiIiIiIiIiKzEBCwiIiIiIiIiIiIiIiIiIiIiIiIrMQGLiIiIiIiIiIiIiIiIiIiIiIjISkzAIiIiIiIiIiIiIiIiIiIiIiIishITsIiIiIiIiIiIiIiIiIiIiIiIiKzEBCwiIiIiIiIiIiIiIiIiIiIiIiIrMQGLiIiIiIiIiIiIiIiIiIiIiIjISkzAIiIiIiIiIiIiIiIiIiIiIiIishITsIiIiIiIiIiIiIiIiIiIiIiIiKzEBCwiIiIiIiIiIiIiIiIiIiIiIiIrMQGLiIiIiIiIiIiIiIiIiIiIiIjISgpHV4CIiIiIiIiIiIiIiIiIiOh+cPHiRbuUExERYZdyiIjIMkzAIiIiIiIiIiIiIiIiIiIikkCTJk0gCIJNyxAEAXq93qZlEBFRxTABi4iIiIiIiIiIiIiIiIiISCKiKDq6CkREZGcyR1eAiIiIiIiIiIiIiIiIiIjofiEIgs1nwSIioqqFM2ARERERERERERERERERERFJrHbt2pg4cSK6du3q6KoQEZGNMQGLiIiIiIiIiIiIiIiIiIhIYjdu3MC7776LunXrYvLkyRg/fjyCgoIcXS0iIrIBLkFIREREREREREREREREREQkgU2bNmHYsGFQKpUQRRGiKOLatWt44403ULNmTQwaNAirV6+GXq93dFWJiEhCTMAiIiIiIiIiIiIiIiIiIiKSQP/+/bFixQrExcXhq6++QvPmzYsTsQwGAzZv3owRI0YgODgYs2bNwtmzZx1dZSIikgATsIiIiIiIiIiIiIiIiIiIiCTk7e2NF154AadOncLx48cxdepUeHl5FSdjpaSk4Ouvv0bLli3Rpk0bzJ8/H+np6Y6uNhERWYkJWERERERERERERERERERERDbSqlUrfPfdd4iPj8fSpUvRp08fCIJQnIx16tQpPP/88wgODsbo0aOxfft2R1eZiIgqiAlYRERERERERERERERERERENqZSqTBy5Ehs3boV0dHReO+991C7du3iRKz8/Hz89ddf6N+/P8LCwvDuu+/ixo0bjq42ERFZgAlYREREREREREREREREREREdhQaGop33nkH165dw86dOzFmzBi4uLgUJ2PFxMTgo48+Qv369SGKoqOrS0REZjABi4iIiIiIiIiIiIiIiIiIyEF69OiBxYsXIz4+Hj/++CMiIiIAAKIowmg0MgGLiKgaYAIWERERERERERERERERERGRAxmNRuzduxfbtm3D1atXIQiCo6tEREQVoHB0BYiIiIiIiIiIiIiIiIiIiB5Ely9fxsKFC7F48WIkJCQUP14061WjRo0gk3FeFSKiqo4JWERERERERERERERERERERHaSnZ2N5cuXY+HChTh8+HDx40VJV+7u7njiiScwadIkdOjQwVHVJCKiCmACFhERERERERERERERERERkY3t3r0bCxcuxKpVq5CXlwfgv6QrQRDQo0cPTJo0CY899hicnZ0dWVUiIqogJmARERERERERERERERERERHZQExMDBYtWoRFixYhOjoawH9JVwBQo0YNTJgwAZMmTUKtWrUcVEsiIqosJmARERERERERERERERERERFJRKvVYvXq1Vi4cCF27txZnHBV9L9arcbQoUMxefJk9O7dG4IgOLK6REQkASZgERERERERERERERERERERSWDq1KlYvnw5MjIyAJSc7apVq1aYNGkSxowZA09PTwfVkIiIbIEJWERERERERERERERERERERBL48ccfIQhCceKVj48Pxo4di0mTJqFZs2YOrh0REdkKE7CIiIiIiIiIiIiIiIiIiIgkJAgCatWqhUGDBkGpVOLPP/+UNP5nn30maTwiIqocJmARERERERERERERERERERFJ7MaNG/j2229tEpsJWFTVhYeH4+bNmwgLC0N0dHS52+Xn5+Obb77BmjVrEBkZiczMTBiNRgCF36Hw8HBMnDgRv//+e4nHpLZo0SJMmjQJALBw4UJMnDhR8jKocnr06IE9e/YAKLm8a1XBBCwiIiIiIiIiIiIiIiIiIiIbkDJJoGhpQ0EQJItJ1jt9+jT++OMPHDx4EFFRUcjIyIBcLoe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7vcYrLijCo7EBAPAmCrBQZfXq1VOHDh1Oer5v374aNmyYunfvroKCAr300kt66KGHZLHUzoMOp9OpeQeeU4E906vtFDpyNPfAs7q08fNMd+ZFdvthZWTe55O28vO/UEjQYAUHn+9yuXmLNurTb/7Qlu1lT6uWnVOoGT+u1owfV6tTuwa66tJeOqN7M2+kXCs5nSVKOfxvrxRfHXMo7ytFBHZXQvgVXmsDJ/s9bafG/fqZih1VG7b6eIcKc3X1wo80rd9otYysWiFjXm6hFv6wVts27dfhQ5myWM1q0DBefS/opOZtEqudY121IuNPzTk423vxM//UTwdn64LEYSc873A69d9Z1S++OsYpacIPPyvAZNZlXU/e/zmVfL33V48WXx1zsDBd965+R5O736FAN6YjtNns+v77VZrx7Qrt2nX4pNdzcoq0b1+GFi7YqMbJsRo+7DQNGdpVFguj90hH93EPpt+jErt7F6GqKrdgjjLzPlJ02BiXy+XnF2nqJ0v1/Y9rlJNTWOYyhw7naMrHS/TRtKU6q08rjR19ppokx3kj7VppY9Y8bciq3qh0FdmQ9ZMah3ZR28iBXm0HUlZxvu7560uvFF8d8/LG+eoc3Ug94pqWu8xPs1bp1We+U3FR5fJYunCT1qzYqQeevFTdejWvbqq1mtNp05GMf3tw2sHyFRT+oPyC6QoNueyk1xwOp95+bZ6++nxZpePm5xXphae/05+/b9P9j4yQNZDTiYeyX1Fuofe+c4/kTFawtYsiQi70Whs40Ydbl3m0+OqY2XvWKy4wTA90Ps/jseGeZRt36a43Z6mgqPJFsDn5RZrw4U9atXW/HrhqgMyVmCZq9fKdeu7Rb5V2MMut5fPzivX1tN+1ZOEm3fPoCHXsygjMx8zZv9ajxVfH5JYU6V9/TtHnZ/5L8W4WeOTkFGjOj2s1c9YK7dtb9vTQr78+T+df0EkXXthVDRvGeDLlWs3pLFK6D/aJnM5cpWfcrnrxsyqc0aCw0KaF89Zr5jfLtWXzwTKXeeu1eTrn3PYadlE3tWzN+b9/ej3lJ48XXx2zryBd9678RO/0upFCZgBArcEZE3hFu3btNGTIEE2fPl3Z2dnauHGjOnXq5O+0qmRt5mztyV/pk7b2F6zV6owZ6hJzkU/aOxVlZD0gh6OsKRa8Iz3zXtUPPF1mU/RJr9ntDr32/gJ9NWuF2/HWbNinNRO/0rirz9LVl/Xk7mNJ+7LfUW7xGq+3szPjSUUFn6XAAEap84UD+dm6ZemXHim+OiazuEDjl3yu2eeNV2iA1e319u48rG+n/ab5s1aVccfqZn3xwa9q27mRLryip/pe0FFmMycEjsktydGnuz/wejuzD3yjjlFd1SC4Uelzn/y1WjPXeab46ngTfpivDkkJaptwao5IuDsvTW9v815B3c68g3p/+w+6ueUwl8vl5hbq0Qlfa+VK96Ym3b3riF59da4WL96sxyZerPBw7l7Nzp+uPC+M2lGWQ5mPKzToHFkDGpf9+uEc/feh6dpWTjH6PzkcTi36ZbP+XL5Djz08Qt27lV88cqrItR3RwtQ3fdLWgoNvqlFIV4VZYn3S3qnq6XU/6HCRd0ZgPt7Dq2bo6363KKSMfaPZX/2lV5/+rsqxc7ML9cid0zThuSt1ep+W1UmzVsvJfUM2m/ePV47JyHxYQYFnyWz+expIp9Op11+co5lf/1Wt2L8s3KTi4ul69H+XKSDg1C1oLixep8PZr3i9nQMZDygk8AwFmCk29rYt2Wl6bt3PXov/4dZlOiexpc6oxz6Lry1P2as7Xp+hIlv1zi188+s6SdJDVw9061zc0kWb9OT9X6qkxFHptlL3Z+q/t36kh565XL3Ocn8En7rqUGGO/rd+ptfiZxbn64l1M/RSt6sr7NuVK3fpsUe/LveGkWNycgo1/cs/9PVXf+qGG/rp8is4hytJ2TkvyVbi+fM0ZSm2rVJO7puKCL+t3GV2bE/Tw/d+odQKiiSLikr04+zV+nH2ag27uJtu+fd5Mgdw7k+SVmfs0rQdS7zaxtrMPZq2Y4muaXaWV9sB3LV8+XJ/p+BV3bp183cKQK3HXgK8pkmTJqX/Lyx0fVBSUxU7CrTk0Ls+bXPp4fdVZPf+ifZTUXHxKhUUzPJpmw5HmnJz3z7peafTqefe+KlSxVfHe+fjX/TBp949uKkNCkv2aU+me9M8Vpfdmasd6RN90tapzul06uHl3ynHVuTx2HvzMvXcGvdPrP86b71uufx1zf78jzKnCzhm4+o9mvTAdE28c5oKXSx3qvlq76fKKcnxejslzhJ9sut9OZ1OSdLu9Ew997N3puAqcTh0/8w5stk9VxxYWzicDk3a+JmKvTgaiyR9uWexNmSVX1iVn1+k/9z9qdvFV8dbvXq37rpzmnJza+e+qac4HPk6lPmoz9pzOvN1KPOJMl/LyMjTHXdPc7v46nj5+cW6/6HpWr5iZzUzrP1+SXvXa9Ol/1ORI0e/HnrPJ22dqpYd2q7Ze31TsLMvP0NvpZw8quGa5Tv12jNVL746pqTEoSfu/1L7dh+pdqzayOHIUnaOb45XjnE6s5Sd8+oJz839YU21i6+OWbZ0qz56f7FHYtVGTqdT+9PvkeTd/SFJsjvSlZrJMai32Z0O3f/XLNk8ePNPWR5cPlv5JRwr+lJmboHuf+e7ahdfHfPNr+s0+/cNFS63af0+PfXf6VUqvjrGZrPrifu/UMoG745WWxs8vX6msm3eHTHpl7TN+n7/apfL/Ppriu6/77MKi6+O53A49fbbCzR58s+l5ytOVSX2A8rOec2nbWZnvyC7vewbsTdt2Kc7b5laYfHVP838erkef+Rr2avx+a4rShx2TVz7lZzy/t/25C1ztTffdzfVe9qcOXNkNptd/khH9zPdWdZsNuunn37y87sCAJSHEbDgNTt37iz9f+PGZd/tXtNtzp6vYkeeT9u0OQq0KXueOkeP8Gm7p4LcvCl+avcTRYTfKcP4+67yaV//oe/mrq1W3A8/+00NEqN1/jntq5tirZWa84mc8t0JzPSCuSos2auggIY+a/NUNHf/Zi06uM1r8T/e9pcubdpF7aPru1zul7nr9NQ9X1TqJNmyRZv18G0f6ck3x8hqPbV3s7JsmfojfanP2tuet1U787epaWgLPfvzLyqwee+i2MbUQ5q+ap1GduvstTZqohUZW7Q+u/JFT5XllFOf7JqnJztdf9JrDodTj0/8Vlu2lD01gDu2b0/TY499o6efvuKUHbEuJ3+m7I6yp8vwltyCH2Qr2S/LcSNJlpTY9eCEr7T/QGaV49rtDj0y8Ru9+cpoNW58ao7IlFeSoZRsz08L6kpK9iKdXW+cQgJOHuUV1ffx9t992t70Xct1U6u+Cv7/UbAKC4r1/MQZ8tR1wqJCm55/fKaee2usTKZTa/SHvPwvfDL14MntfqnIiAdkMoXq8KFsvfGyZy/QfPbxUvU5u41anYLTcOcXLVOhD0c0y8qfoXpRD8piTvBZm6eaRQe2am2G94tc9uZn6ptda3RV8+5ebwtHPfv5Qh3JzvdwzEXq1TZZ8VFhZb5eXFSi5x79VjYPFH3Ziu167rFv9dpH40/Z8wtbsg9qQepGn7T17taFGpzUucyRqjZs2Kcnn5hR5aK66V/+obi4cF122enVTbPWysv7RL4oXj6eU4XKy/9cEeE3n/D8gX0ZevjeL5SXW7UbP5cs3qzXXpqj2/8zyBNp1lqL0zZqd95hn7RV7CjRl7t+051th/ikPW+o6Pzy8d897pyLZlQ9/2vVqu6NUpmSkuKxWOnp6VqyZIn27t2r7OxsJSYmqlmzZjrjjDNKiw6BuurUvOIAr9u0aZO+++7o3bI9evRQ/fquL3J7k73ErszULBVUcqQDp9OpNRm+HS3pmDUZMyt9V0xBbqEyU7NU4sULzjWBw+FQ1qFs5WVW7gSK3ZGh/PxvvZNUBRyOQyoo+L70cU5uoaZ89ptHYr81ZbFKSmrvKCxOp1PZR3KVfSS30n/zDmeRUnO/8FJm5XEqNWdapdcqLrIp42CWigrq/t2ueZn5ykzLlsNR9TvBPtrypwczKtsn21yPALBjy0FNeuCrKt2huPavnXqzGtP11CTHti32KnzPLDm8SHanb7+fFqXN18HsHM3b7L0CvmM++Wt1rbuDtaigWBkHs1RcZKvS+jP2+q6g7rfDG3Ww4OS7G3//fav++GN7teOvWL5TS5Z47qSCP1Rn25KZ64+idLuy8j454ZlFv2zWxk0Hqh05P79YUz/x3d+nN1T1mEWS1mf+KIePL2bYnTaty5xT6fWqs12pTRwOhzLTKn/MIkn78zO1KNW330/ZtgL9uH996eMZX/yhg/szPdrG+lW7tWSBby6getqxY5ac9ModszidTr/dBOR05ii/4CtJ0mcfLa3yBcbyOOxOffD2Ao/G9KXcjDxlHaraMUuGz7ehJcrMrfwxaHW2K7VNQU71ti2fbPfM6HDumLb9ryodQ1Rnu1LbFOUXKeNglmzF1du32X7giH74w/NTneUWFOmjueVPPfTNp79rz07PFSTs2n5IMz7/w2PxfK248P+PQat4Pmz6bt+99115h/XHkZOPNZ1Op5579nsVV/Nv8u23flZaWna1Yvhbia2kitdZbMrN+9hLWbmWmzdFTueJ2/s3XpmrzGp+n87+doXWrNpdrRj+Vrptyara7+IrH34+JWnW3uUqtFf+u6S658Kqy+l0urXtP7acu/sJte2cJE4dKSkpuvjii5WYmKhhw4bplltu0f33368xY8borLPOUqNGjfToo4+quLjuXyvDqevUvHUCHpGWlqZ169aVPnY6ncrMzNRvv/2mF198UQUFBYqIiNBLL73kl/xyMnI17cmv9eMHPys34+goVl0HdNRVD16izv0qHjEo23ZAh4u8fwG3LOnFu5VRvFsxgckVLrvu1436+ImvtPyno8Mkh0WF6rwx/XTVQ5coIjbc26n6THGRTV8+N1OzJ/+kw/uOXpBt1b25rrh3uM6+9IwK1y8q/EVO+e/EY0HhTwoJGSFJ+vHn9Sr00A7/4fRc/bpsq/r1ae2ReL7icDj03Vtz9fUr32vv5qN3mjZsnaSL/z1YQ248VyZTxfXBWYVLVeLw/dDDh/JmKjn6XveW3XtEH0/8UvOn/aqi/CKZzCadMay7rn74UrXo0tTLmfrW4um/6fNJM5Ty19HvzbgGMRp603m67D/DZA20uB1nW/Zh/X7I+yPszNq9Tvd3GqgIa1CZr0//8NdqnfCd8+0KXXXjOYpLiKhyDH9avXC9PnnyK62cf3SkvrDoUF1wbX+NevBihUeXfafvP/ly9KtjlmcsU9buDrL74CREyqEjWr5nv7o3buD1tqpr+5pd+mjiF1o64y857A4FhgSq/8gzdfUjl6peozi3YmQV52rp4fUVL+ghTjk15+CfGtP0/BOenzmzalP3lmXWzJU6++w2HovnK6m7DunjiV9qwWdLVFRQLHOASb1HnK5rHrlMTTtUPOqsrWSPCm2up9fwlpz82YqLvKf08YxZKz0We9Evm3TrTf0VHR3qsZi+kJ2eo2lPfKU5Hy5UbubRY5bTzu2kqx68RJ3ObudWjM0+Hv3qmJTshTo97kq3ll29aL2mPfmVVsz7e7ty/thzNOrBixURU4eOWQqL9cWzMzX7rZ90ZP/RUebanN5Cl987Qmdd3NOtGHP2r/PJNB7/9P3eNbqocVfZ7Q5995V3ihFmTf9TZw1w7++6JnA4HJr15k/65tXvtS/laLFo47YNdPHtQzR43MAK7zovKdmqkhL/nFOQpIKCOTIbV2ruD94ZremvZdu1f2+6khrGeCW+Nyz6Yqk+nzRDW1YcvcAe1zBGw26+QJfcNdStYxaHo0DZBT94O82TZOV/pfjIO91aNicjV5888ZXmfLig9FzYaQM7atSDl6hz37o1evbKn9dq2pNfadWCo/uo4TFhGnTd0WOW0Ej39gcO5mfrl1TffU63ZB/Smoz96hzj3jFEcWGxvnxulma/9fe5sNY9muuKe0forEt6eTNVn9u6aoc+mvilfp+1vPSYZcCoM3X1I5cpvmHlRzn9arH3RqqbuXS9bhneR0H/GJXKXuLQrOmev6Fs9vQ/dfGoXrVq9N4DO1L18ePTtfCzJSoutMkcYFKfi07XNY9cribtG7kVw+Yo0Xf7Vnk30X+YuXe5esY1P+G51at3a9eu6hfVORxOfTd7pa69rm+1Y/la1uFsffLEV/ppykLlZeXLMAyddm4nXf3QJepwZtsK1y8uXimHI9UHmZ7Mbt8lm22DrNYOkqSDBzK1bOkWj8Se9c1ydepS+2Z+KSoo0heTZmr223OVfuD/j1l6ttTI+y9S7+E93IpxqDBbfxzZ6s00T5JTUqjFaZt0XmInt5bftnqnPpr4pX6beeK5sGsmVG27UhUTJkzwSTtATfHxxx/rpptuUl5e+TNLHThwQI899phmzpypr7/+Wk2aNPFdgoCPUICFKnvzzTf15ptvlvmayWTSjTfeqDvuuENt2vj+wlZ2eo7uOvsR7dqw94TnV85fq9UL1um+qbep/6izXMZILfTvqAiphSkVFmAtnv6bnhz5khz2v+/iyM3M09cvf6c/flihFxY/ruh6kd5O1euKi2x6aOj/SgsBjkn5a5sev/wFjX38Sl314CWuY/hwigBX7TudTn37g+cuNkrSN9+vqlUFWE6nUy/cMFlzPjzxjum9m/frlVvf1eY/t+nu926u8IJGbpF/+rTYvl/F9sOyml0XLezfdlB3nv1I6YGsJDnsDi355g/99eMqPfndA24Vg9YGnzz5lT58+LMTnju8L10fPvyZVi9crydm/9ftIqylaTu8keJJCu0lWnFkr/oltjjptayMPC2es66MtdznsDv0w9d/6Zqb+1crjj/8PO0XPTP6VTkcf1/8zc3I0/QXZunPH1fqhUUTKyzwLbDn62Ch96fx+Ceb06bF2313AWXZrj01vgBrzeINemDQkyeMklSUX6Qf3puvZd8t1wuLJ6pBi4qnD9qYvUcOHxcErM86sRhz/74M/emB0a+OWbFip3bvPlKrpq3bm7Jfd579iDLTskqfs5c49Mv03/XnDyv1vx8fUoc+rve9C4v9U3wlScUlW+Vw5MlkCtX2HYe0dt3eildyU0mJQ9//uEZXjay4ML+myDqcrTvPfkR7Nu074fkVc9do1c/r9N+P/61+V/RxGcPmKNSRop1ezLJ8h4t2qsRRpABToMvlFny2RE9f/fJJ25WvXpytP39cqRcXP14nbhwpLizWfwc9qTWLNpzw/KY/tmripc/p+v9dpSvvG1FhnHWZvt9+StL6rP1yOp3asGaPUg9kVbxCFaz+a6eOHMpRbHzN72+Hw6Fnr31d8z5afMLzuzfu00s3va2Uv7bpjrdudHnMUuynYte/21+jZUu3KD/fe3cWL5y/QaPGnOm1+J700WNfaupjJ46gfHhvut5/cJpWL1qvx2feJ4vV9TFLoW2dJN+PnlBcskN2R5bMJtfnd7KP5OjOsx/W7o3/2K7MW6tVP6/TfR/9W/1H1o7+qsjcqYv07LWvnzD6Q056rr54bqb+nLNKzy98zK0bR1ale25fxF0rjuxxqwCruMimB4c8VVpgdszmP7dp4mXP67onR2nkfy/yVpo+tWrBOj045CkVF/79+SrKL9L3787Xsu9X6MVfHldiU/en4XQ6nZr7l/fO62bnF2nZxl3q2/nEQp1Vy3foUKrnRzg6uD9T61btVuduTTwe2xt2bdyru/s+oqzDOaXP2UscWvzl7/rzh1V6+qeH1a5XxdM2bctJU34VRrupjrWZe056buYMz90E9N13q3X1NWfKYqk9Uy9lpGXpzrMe1r4tf49c7HQ6tfyn1Vo5f60e+uzOCgtCa8I+0bECrO9mrPTYNNu/LNyk9CO5iol170bFmqCooEj3n/+E1v164giBm5Zt0YSLJunG50br0rsurDDO+izfbz8laX3mXrcKsFYvWq8HBz9V9rmw71foxcUTldTc+7P2UICFU8n333+vMWPGnDDKcMuWLdW/f3/FxMRo27ZtmjVrlgoKCiRJK1eu1JAhQ/Tbb78pIqJ23sQOlKf23DaBWsXhcOiLL77Qu+++65dhBN9/4NOTiq+OcTicemHcZGUfySnz9WPSCj1zJ0RVVdR+bmaenrvujROKr463N+WA3r3fP0P7etqMV384qfjqeB8+/Jm2r3E9Yo6/D/RKSrbL4cjVuo37tGdfRsUrVMLKtbu1/2CmR2N609IZf55UfHW8OR8u0NIZFd8xmFtc/t+Et+UVV1yc8/It75xQfHW8ooJiPTP61ToxZej2NbtOKr463sr5azXjVffvEl+XUf2pqKrb1tyZK2WzVX9qpB+++kv2cr6ja6qsw9l6YdzkEy6SH2/Xhr16/8FPK4yzO9/7o5iVxemUtqR59jvWlXUH0nzWVlXYS+x6ZvSr5U5Rl34wUy/f/I5bsVJyfH9yLSVn7wkX1X780fOFt96I6U0vjJ98QvHV8QrzivTM6Fdlt7v+/ios9ud7dv7/xWvphzmez+OHOf7bN6iKd+/7+KTiq2Mcdoeev+FN5WTkuoxxqHC7nPLPtsYphw4VuS6KzE7P0Qs3vFnudmX3xn1677+flPlabfPVi9+dVHx1vPcfmKad60++qPdPG/xUgJVjK9Te/AxtXl/236SnbN7g3fie8stXy04qvjre9+/O17LvXF+QLfbr963kcBzWpo3ePa+R4oFpZH1hy4rtJxVfHW/5T6s1642fKoxT6MdjUHfafvf+T04qvjrG4XDqxXGTlZ3u+lxYbZCRlqWXbnqr3Kl3dqzd7fIY9XjrMn3/N7zezWPer1/67qTiq+O9/+A07VhXu6e/ko5OafbM6FdPKL463pH9GXr11ncrFTMtM1eHs707XeOGXSeP5rNprfeOmbwZ29NeGDf5hOKr4xXkFmrSmNfcmgJ2Y7bv94n25mco21ZQ+jgrK1+//uq5Yr6MjDz99pt/rzlU1jv3fnRC8dXxHHaHnrvuDeVV8Hnz9z7RsRujHQ6nfpy9ymNx7XaHfvq+dp1T+PK5WScVXx3v7Xs+0p7NFe+vb8zyzz79puyK2y2xleiZa1ycCzuQoZdvce9cGAD3HDhwQFdeeWXp9t0wDD3//PPatGmTJk+erKeeekqff/65du3apX79+pWut2HDBt14441+yhrwHgqwUGUTJkw4YV5ip9Op/Px8rVmzRvfcc49ycnL0/PPP67zzziutaK2K0NBQBQcHy263u/WTm5WneR+Xf6JUOlr8MOfDBS7jZBT598A2o2ivy/zmfby4wvnWF3y6RFlHst3+3dntdgUHB3v9vVWmT0tKSjRr8pwKY86a/JPrOLadXn9frjlVXLxDu/d5Z8q8vQcyakV/2u12zXyz4v6c+eacCuMU2Dw3Ckpl5RVtdZnbns37tGKu6wPwQ3uP6LdZf9Xqz6fdbtesyRVfqJg1eY5KSkrcipeS6buClpTMtDJz2LS24ouj7kg/lKO0/WV/Nmtqf/40ZWG5JyiOmffxYuVm5bmMcyDfPydiCgutKrT5rhBhS9rhGt2fv3+3XGm7XU+VsHL+Wu3auKfCWDvzDnr9/f1Tli1P6YV/78fs2XPE423s3XOk1nw+t6/dpbWLN7qMeXBHmv78caXLOEU2/02HJUlFxUe3ofs8XJAuSQcOZspmO3l7UxP7Mzs9Rz9/+qvLmIV5RZo7dZHLOOmF/r3weqTQ9ffH3CkLVZhf5DLG/E9+UXZGjtu/u5rYpyUlJZr9lut9IqfTqdlvuT5mKbQVa2++7wqJ/2lbdpq2bvZuMcLWTQdqfH/a7XbNduMYtKJjFlvJTq+/r4ps2+LdfbJtW1JrRX+6c8wyc3LFx6CFftyGFhS7PgbNzsjRz9N+cRmjML9Ic6csrNXft3a7XXM++LncYp1j5k5dpLyc/Apjbcuq/rRilbU1+3CFebmzXZGk2RWcC6sN/blkxp+l0yuW588fV2nvlv1ux9y82/vnFVL2HDr57ynFe8dMWzfXju3nlpXbtWHpZpcx9205oOVzV1f8+cz2z5R1W7MOluawe/dhefrGup07T/7bqan9mXk4Sws/W+IyZn5OgeZ/vNhlHFuJ/87hSpLNtl12u10ZGbnKzPRsceauXWX3Z03sU5vN5tYxy3dvz60w1s5c/9yQuDO3/N/3sZ/fZy/Xob2uzx+tmLtGezbvq9Q2FED5nnjiCeXk/F18/dhjj+muu+6SyXRiGUp8fLx++OEHtW379/S1n3/+uVau9OysQYC/MQUhPCo4OFgdO3bUpEmT1LJlS40fP16LFi3S//73P02cOLHMdT7++GNNmzatzNdycnI0cuRIjRgxQqmp7h107d6wT0UVnOSXpA1/bFaf1O7lvp5f6N+7AvOLcly+5/XLyr9T4RhbkU1rflun5qc1cbvdESNG6O2333Z7+aq46qqrJMmtPi3KL9KB7RXv0G9evsVlPLvTu3e+uePIkf06cNC9adgqa+/eVDVMOHn6l5rWn9LR+dcrXGbVjgrj2Ur816fZOUdkyi8/v5W/unf305ql69W8V2O3262J/ZmyYmuFyxzYnqbdO/YoKNT1FEWSlF1U9YLdysrIL/t7Nv2w56YM2LVzn5zmsrdJNbE/N/zp+kSpdPR7ee0f65XcvmG5y6Tner5Qxh32Et/eW5BbVFT6u62J/blmafl3zB9v1S9rZYl0PQVCVr5/9ov2ph1QkeXoMNTp6Z6fziM9vezvgZrYn6t+dW/UjTVL1qtx16RyXy+0e2dqMXdlZR1SQU6q0jM8/zflcDi1a9dehYRYT3i+JvbnjtW7K7x4LB3d5+91WddyX08v8v2F4+NlZB1WakH573nDH25sVwqKte6PDWrSsZHb7da0Ps3Lyq+w4FWSNv+11WW8PB9Ps/NPqemHlXHE89+1xzuUln7S76Cm9ackbV21s+JlVm6v4BjUv9+3kpSd5d1965ycglrRnynLKz5m2ZdyQHt375MlsPxTpfkO/+zjSlJ2dpqKc8t/v7vW7a3wRgpJWv/HZp2R2s3tdmtif7qzbSnILdT6vzaqYWvXU21nFrgeadIbcopO/tz8U0FOoVJ3Hqow1qblrrcr/1QT+3Pdb+WPHnm8Vb+ulSnUvRz2HfR+YUBGdu5J7zHdi9vQ9CPZteL71u1jlqXr1aCj62kl03P9sx09eCRN9YuPnr/au9fzRXVpqSfvC0k1sz+3Lt8pW3HFo/evW7ZJ3UeUPy2c3en779rjFRcf/fwc9MI020cOZ5X7+6xpfZqTnqsj+yu+2WPTX66vs0hSVr5/+rSwpLjC3Nw9F7bylzUyh5c/nfg/GYZR7uibwKksNTVV777792ilzZs31/3331/u8kFBQXrttdc0YMAASUcLP5944gl99dVXXs8V8BVGwILXXH/99YqJiZEkvffee+Uul5eXp7S0tDJ/CgoKlJ9fuSILVyfLTlguyHUhjGG4v/PlDUYFH09rBfkfU9H7rOnMAWYZpor7ouLfR034ujMpIMA7eXgrrje48xl17+/Wf++54s+n1eXrlV2uJnOnPw2ToQCL6+KOY8w+/O41qey2PPl5cvd91xSWQPe2GRV95xqGfz6fhuHbEyEmP+8rVMTtfYXgipcr7/Pibce3azZ7/u+qNm0/3e3Pipfz9/fS0d95gBf6U6o9feruPnpN/b4tbb+C7wZPvc+azmL1zDGo2U/ftce3b3Lj2Ks63Dm2qwnc+ZusDceg3u5Pb8f3FHe+i0xmk8wVbkP82aeu23b3XFht/76VPHfMIvlnH9edY16zxezWecm60Z+e2YYezxffTWW14c12a8v3rdWDn0+zn/ZzTcd933rjGLTibU3NYQny1LbF3+/56DGwd84p+Pv42n0Bbh+zVHy+2l/nw9xp91S5bgbUFDNmzFBx8d83gowfP14Wi+vPV//+/dWmTZvSx99//73y8vK8liPga4yABa8xmUxq2bKlli1bpv379ys9Pb20IOt4oaGhqlevXpkxcnJytGnTJn377bduzwMbHx+vpBb1tX+r6ztU+l7cWwkJ5d9pE34wVgf8OAhWeHC0y/z6XtJbP723yGWMeo3jdNrZXSp1cPHWW2+5vWxVffLJJwoNDXW7T7sO6FjhdG59hvV0+ftKOxSpErt/RwiIi2uiBkkVj3RQFY0aJpT5/mtif/Ya0l2zK5gCoteQ7i77U5LSUqOUb/P9lFiSFBWRpHph5ed35tBIvRk+Rfk5ru8473/ZWRW+z+PVxP7sM6yn1v+S4nKZrgM6qkGjBm7FSwiN1I78TLeWra6kiJgyf//16sdI8syUTs1aNFJkdNm36dbE/ux7cW8t+Mj18PJJLeqrU68OJw0hfLyE9ATJuwNolMlqrfjOTE+KDw8t/Ruqif15zqVn6bPHZ7hcJjgsSGcO7aXQiBCXy8Vnxkg+vsHRkKGmiY0VbD568i8+PkqSZ6dSio2NqDXbz7OGhWly8NQKR7c4p4JtS2pGvCrYPHlVVGQDhYckKDY2QpJnt+MWi1mNytje1MT+jIuLV0KT+ApHt+h7ietjluycJMmP/RkflaSE8PLzO/vi3po/xfVUi4nN6qlz744utyv/VBP7tMs57bVqgeu7rc8c7vqYxeF0yrrarGKHf6a4aBhfXwcbZWrFsl1eayO5aeJJv4Oa2J89h3TTD+/Od7lMr6Guj1nSM+NVWFipND0uoX6EtqZ470uiXkJkrejPPsN7atNvrkfB6nZeZyUmuR4t6VB2otL9NIhHVGRDRYaU//cWHx+vxGb1KhxB/OwKzoX9U03sz76X9Nbiz353uUyjNknq0KNdhUVM9fdESVm+nT49NiTcrT7o0r+DVs53PZrQmcNOr/X92f/ys/Xl07NdLhMSEaw+g3sqOCzIrZgtcry/HW1Q7+TzCQ0axWv9Ku/8PTVsHF8rvm/7XtRHb9/xscuRXg3D0DmXVnw+rH52rOSHU7lNEv7ev83xwrWBxMS4WnMMGhcbp/hGsTq0x/UIkH0v6eOyPw+nx6rYjwO9BgbGKjY6QeHhUR6PHV8vqtz3XuP6NEHqcGYbrfvV9cwqZ1VwzCJJ8YeipeydlcjUMyKtIRXmds5lZ+nzJ2e6XCYkPFhnDu2lkHD3p4lk9CugbDNnnvh5u/TSS91a79JLL9UTTzwhSSosLNRPP/2kiy66yOP5Af7g79Jz1HElJX9fCLXZyj7wuvrqq/X999+X+TNixAg1bNhQBQUFMpvNbv1YLBZdce8Il3k17dhYvYZ2cxknPqi5J38VlRYf1MJlft3P66KW3Zq5jHH5PcNltVrc/t2ZzWYVFHj/Ck5eXl6l+vTK+0a4PGkWnRCpQdcPcP13YW3v9fflimEEy2ptpk7tGnr8rrXgYItaN0+sNf15yZ1DXd6JYg2y6JI7hlQYJ9SPfRoW1MFlbmGRoRp26wUuY/Qa2k3NOzep9Z/PQdcPUHRCZLnxDMPQlfeNcDte+2jXFz08qUNM2Z+bPgPbeSb+acmKiYuoVf3Za2g3Ne3oelrMK+4dIYvF9bYlOayp199bWSxWu+LCKp7q0lPa10+o0f3ZrGOyeg/v4TLmsFvOV0R0eIWxWkWUP+WktzQMiVOYNbg0h85dkj3eRpcuybXm8xkZG6GhN53nMuZZl/RUcttGLuME+XmfKDiok8xmszpVYro5d3Xq0LDW9KfVatEV9wx3GbNF16Y6fdBpLuMkBLfw+ntzJSGkpcv8eg4+Tc27NHEZw53tSm3o0yvuc32iMCYxWudfe47LGJaAALWKqO/191aetlFJatXOvaL5qmrTvkGt6M9L7hzqcpSdoJBAXXy762OWQKtn9imrzlDrtt79jmjV5uT96ZrYn4NvGKDIuPBy4xmGoSvuHV5hnGBrB6+/t/KEBHZ0/f3hxrmwZp2T1XOw6+1KbejPPsNPV3I71/umV9w7QgEBARXGaufD489j2keVfRz6z58r7xvhMk5M/ShdcF3/Wt+fLbo01emDy59uWZIuum2wwiJD3Y7ZNjlB3h6cpX1ywknttmpX/jTg1dWqXe3YfkbFR2rwuIEuY/a9orcatkyquB+jvLtPUharKUDNI+qX5tC8eYJiYtyc+9JN3bs3qzWfT2ugVZf/x/UxS+sezdX93M6u41j8u08UaG0vs9ms8PAQtWnr2c/paeX0Z03t05H/vdhlvLgGMTp3dN8K47SO8N73nSutIyr+7mjeqYl6DXU93fKwWy9QeFRYpbahAMr2669/33SXkJCgZs1cX7c+pnfv3ic8Xrx4sUfzAvyJAix4TX5+vjZs2CDp6JyucXFxPmt70PX9NeqBsncmG7dtoCdm3V/hTlO9oJbeSM1tCUGtXL5uMpk08dt7y71Qfvl/hmnYLed7IzWf69q/o+5460aZyxjSN6Z+lJ76/kGFRbk+GLZayp+H3hcslg4yDLMS4iN0RnfPFved36+9QkJqz1R2DVsmasJX95R552JwWJAmfHWPGraq+CAuzNrRG+lVyFCAQq1tKlxu7MQrdO7ovmW+1vGstrpv6m2eTs0vwqJC9dT3DyomMfqk18wBZt0xeby69ne/rzrG+LYAqyynn9Va9RLLLypz19DLT692DF8zm816Ytb9aty27BOdox64WIOu719hnPpBSbIY/vle6pBY9qiaXmkryf27zf3l3g9vVae+ZZ/sHHD1Wbr2iZFuxWkV7vsCrH+22b9/O4WGeq7ALiTEqgED/VuMVFk3PH2VzhnZp8zXupzTXne/d0uFMYKs/tsnMowQWQOOnog5/9wOCnRzyhl3Db/wNI/G87ahN52nK+4t+4JGkw6NNHHGfRWOChVlTZLV5HoEO28JNIUp0uJ6u202mzVxxn1q0r7sgrsr77+owot0tUX38zrr32+Mk6mM0Ydjk6L11PcPVDjaoCS1i/R9MYAkNQqJUaQ1WB27er7Y9ZjgEKuat/bP+6us5LYN9ciXdyuojO1OSHiwHv3mHiU1d10sZ/HzMWhAQAt16urdAqwOnTxfTOsNETHhevL7B8u8cSTAYtZd796szn0r3icI8tsxaKACLa7PEUnS4HEDdeX9ZReDNmnfSI/PrPhcWG1gDjDridn/VaPWZZ83uOaRy3TemH5uxWof5YcCrGj3Cm1PG9hJd0weX/a5sMRoPfn9AwqN9GxhiL/c/9G/1eHMss+znDumr66ZcFml4oUEWdW6kXePCzu3OPnvr2sP9y44Vqm97k28FtvTxj97jc6+7IwyXzttYEfd9bZ7oy+1jfR9gUfL8ARZTH9/5gICzBo8pIvH4rdv30AtWtT88wjHG/6vC3TpXReW+VqzTsl69Jt7Kxxt0OrHY1DpxH2yCy92XZhTGTGxYepzdsXb55rk9EFddesr15V5zBLfKFZP/fCggsMqHhXKH59PSWoT6V5h5n1Tb1PHs9uW+dq5o/tq7MQrPJkWcMrav3+/srKySh937eq6qP54/1x248aNHssL8DemIITXTJgwobTK//zzz/fpSR7DMHTtEyPV78o++u7tudq+dqeCwoLU/4ozdfZlvd2ajz4hqJVMMssh30//YMikhKDWFS4X1yBWr//5tH756nfN+3SxCnMK1bR9sgaPG6jmnZt4P1EfGnzDAHU7t5Nmvz1XG37fpABrgM4Y0kPnjenn1lCxVqv7G35vsFr+bv+iwV205A/X0x9UxvBBXTwWy1dOH9RVU7e9ph/em6/l81dLkk7r31mDbxigqHj3Cl8iglyP6uItYYGdZTIqLgAwB5h1zwe3auiN5+rH93/W3q37FRYdqgvG9lfPId3qxInvY1p0baoPNr2suVMXaunsP1VSXKJ2PVtr6I3nKSE5vlKxzq7fQqEBVuWVeHds8kahUeoYXfbJArPZpMGX9dCHr8yrcvyomFCPjaTla/Uax+vNFc9q8ZdL9fPnv6owt1DNOjbRkPHnqmkH16NjHWM2zGoR1kobc9Z5OdsTxVjjdEb79lq4ZY/X2zIbhvq39O9ome4IjQzVpHmPaNn3K/Tjh/OVm56nBs2TdMF1/dXujFYVnig9pmV4A0VZwpRp8928Oz1iTrwIExRk0QUXdNJXX/3pkfjnnttBISG+GzHNEwIsAfrvx7dr2M3n68cPFmjf9gMKjwnV4OsG6vRBp7k1hVugtZMMWeWU7+eACLaeJsM4uv0LCwvSwP7t9N0PrqeZdldcXJh6n+Hf0aAqyzAM3fD01eo/6ix998487Vi3U0HhQRpw5dk6+9JeslgrPmYxDJOSgttrZ55nPheVkRRc8dROklSvUZzeWP6MFn35m37+7Je/tyvjBqppR+8V+/jDhTedp+7nd9Z3b8/VhmUpsgQGqM+wnjr3mrPdupAhSd1im+iLXX95OdOy2j3aF4kNo3Vaz2ZasWy7x9sYMKiTglyMhFvT9BraTVO3va7v352nlQvWyDAMdRvYRYOu66/IuIgK17daOuvofY8Or+dalkBrN7Xr0FDJTeK0a6fn53AKDQvU2f1rz/5u6+7N9cHmV/TTlIX6/fu/VFJcovZntNHQ8eeqXmP3jlmsAc0UYK6vErtnp9CtSHBgdxmGO9sEQ9c/NUr9R/bRd+/M+/tc2JVnqe9lZ7i1Xakt6jepp8mrntPCz5dowRe/qiivSC06N9WQ8ecquZ37hYFdYhsowhKkbJtv5gs1G4Z613O/SGfI+HPV7byj25X1v28+ul258HSdO7qv29uV2iA8OkzPLXhUv89erjlTflZuRp4atjh2zFLx+dGyXHRmB/1v2s8ezvSoNo3qqU0ZBV4Nk2PVpXtTrfprh0fb69aruZIaxng0pjdZrBY99NmdWnvrBZrz4QId2HFQ4bFhGnz9uepxfhe3p52uHxSpJqHx2pnnespuT+oVd/LxxNChXTTtk6VyOKo//diw4bXrhhHp6LblxudGa+A1Z+v7d+Zpx/pdCgoP0rmj+urMi3u6tW0JtHb3QablMRR43HWBvv3bavKr85STXf3RqYYM66qAMopka7oR/xqknoNP0+y3ftLGP7fIEhigM4f31MBr+io41L2pXttGNlCoOVB59iIvZ3ui7jHubUPDokL17PwJWvbdcv344d/blfOvrdy5MACubdp04pSmjRu7d+1AOjpaltVqVfH/z1H7z1hAbUYBFqosLS1N69adeGG1sLBQW7Zs0dSpU/Xjjz9KOjr61eOPP+6PFNW0Q2Pd/OJYpaamSjr6he5u0UOgOUwtws9SSs5C7yVYjmZhvRUc4F4RisVqUd/Le6tN36MXgSvzHmubhOR4jZ14RdX609pTZnNj2e27vZliuUJD/r5br3uXJmrUIFp79mVUO26XDo3UvEnlClxqiqj4SF1+z3D1Hd1LUuX/dkOtbRVm7azc4tXeSrFMCWFXur2sYRhqd0ZrtT69RZX+bmuTkPBgDb3pPPW4qLOkqr/PcEughid31LRtyz2d4glGNe8mk4uD7eEje2nxnHXavrnyF1cMw9C/HrxQFkvt3c2yBlp0zsgz1a7/0dEgq9KfZ8X393kB1tlx56h/fEs9FbpYR/LyvdrWuW1aqH5EmFfb8BSz+eg0YE26Hb1TsCr9aTEFaHDS6Zq2yzsXMf4pIiBE59TrfNLzw4afpm+++avaJ79NJkPDhnvuzldfMgxDHc5sq7ZntDph2+LuhQyzKVzhIRcqO/8rb6ZZpsjQE0dcGzHsNI8VYA0f2lXmMu7irQ2adUrWLS9V7ZhFkjpEDfJLAVaH6EFuL2uxWnTOlX3U7pyjF7Xq6v6QJCU2TdC1T4yscn8OSGyjKGuIMou9ux37p0uT//5OvHhkL48XYJnMhobVwtFBo+tF6sr7RuicsUdH8qhMf5rNsQoKOleFhXO8mWK5QkIul2EYGnFZD7387A8ejz/4wq61qqBOkkIjQjTslvPV85Iukir/+TQMk6JCR+lw9gteyrBsMWHXVGr5ph2Tq3wurDaxBlo04Kqz1GHg0dFHqvI+g8wWXZzcWR9uXeaNFE9yblIbJQSXPx1mWeo3qaexj19Z5/vTbDar19Buatrj6Ci41X2fg3u21avfLFFugeeLAy4/p3O5F+8vH9vH4wVYl48pewTcmswwDHU6u53a92ldpWOWYzEuSz5dz274zltpnsAkQxc1PrlQKD4+Qv37t9O8eeurFT8hIVJnn13xiPo1VfPOTXTLy9dW6bsoIKCJAq09VVTsm+/a4wUFniOz+e+RBwMDLRp+STd9/MGvLtaqWHCwVYOH+/eG7+pIbJag654aVeVtS5DZqiENu+qLXb97K8WTtAxPVIco94uszWazeg7ppibdPbNdAXCyffv2nfC4USP3P6OGYahBgwbasWNHmbGA2qx2nqFGjfDmm2+qY8eOJ/z06NFDo0aNKi2+io+P14wZM9Sxo3+Gaa+uTtHD/NRu2cP6ouoMw6yw0NF+adtq7SGrtUPpY5PJ0CN3D1WQGyOxuRIVGaL7bqsb00xWVf3wq33aXoApSrEhQ3za5qno2pY9ZTV574A4JjBElzXt4nKZ4JBATXz1GiU1rvxdpjffN1hn1rJpzbyhc1RXRVpOnprSW8yGWb3j+soaEKDRPbx/EuzanrXvztXqujDpDJkM3xw+DEo6XVbzydvJhg1jdPsd1d/23fqvc9Wkie+mx65posLG+rxNsylO4f/YhrZonqCxo8+sduyOHRrq8ktrX2GHpzQPP0OhAbE+bTM8IF7Nwnr5tM1TRaDZoosa+fZiTpuI+uoU/fe0rz36tFTfcz27L3PFmDOV3Kx23jhSHf46Bg0IaK1A69HP6KALu6pte/ema3FXvYQIXXXtWR6NWVtEh46S5LuLdwGmegoPvsBn7Z2KRjbrJl+Ng3FVc3+OAnNqCQ2y6s5LPf891alZoi48o/zR/7r1bK7zLuzisfYGjThNXbo39Vi82mZogy4KNlt90tbZCW2UFFz2OYzb7zi/WlMHhoYG6oknL5XVWntv1KuusNCxNabdq8ecpdPPqPqI5iazoYcfv1hxcZUrqK1rLmnU06ftXdq4JyNXATVMbu6JMyWEhVXuZuXw8L+/R0tKSlRY6JtRaQFvowALHmW1WlW/fn0NGDBAzz//vDZv3qzzzjvP32lVWVJwR7emAvSkuMDmahRSe++eqMlCQ66UYYT4vN3w0OtPeq51i/qaeP+wKh94h4UG6umHL1aDRN8VN9REcaFDFRTguxNRDSJulNnk3lDMqLom4TG6vX1fr8V/9LRBirRWPF1DXEKEXpw6Xl16uje8dWh4kB6YdLmGjeSCtCSZjQANSRzhs/bOiT9PEZajo0def0Y3tUnw3kXea3p0UdeGZU9hWZfVD47RFY2899k8JtYaoauSB5T7+tChXXXttWdXOf7o0WdqxIjaOfqVpwRZT1NwoG9PlkaHj5NhnHzxZPRVvTVsaNX3fZs1i9fjj158Sl/MMBlmdY+93Kdtdou9TCaDu4e95apmvRQW4LspUm9q3e+kixm33jtY9eq7NypzRVq1TdKo66v+vV2bBQX2U0CA76dHDQ+7vrRPzWaT7nlwmIKDPXMB22QydPcDFyo0tHZN4+sploBERVdyRKrqiIu8w63pB1F1TcNjNbal94/hBjVoq57xTbzeDv42ok8H9W7fxGPxgqwBenTMeTJXMIrTTXedr6Ytq16sc0zzVvU17vbae17dE8Itwbql1UCvtxNoCtC/W5f/uw4JCdT/nr5CLVvWL3eZ8oRHBOmp/12uZs1OnrbyVBIcPFhmc8OKF/SggIDmCgrqf9Lz5gCTHpp4sXq4eb7veBaLWQ9MuEg9elW9gKuuaBaeoCENfHMdq0lovM/aAuC+fxZgBQVV7trZP5f/ZzygtqIAC5XSr18/OZ3Ocn+Kiop04MABzZs3T3fddZeio2t3cYhhGBpY/26ZfDRbpyGTzk38jwwfjS5xqjGbYxUZ8bBP2wwK7Kfg4LJHUuvVrZleeuJyRUVWriisfr1IvfHMKLVrleiJFGs1kxGoFrGTJB/crxpm7aSkiJOL6eAd17fupdPj3Z8z3F0jkjtqUMO2bi8fGR2qp9++Vi9/cqPOG36arIEnbw+at66v2ycM1yc/3aOzz6+dIz56y1lx56hNuPdHA6sXWF/DGlxS+thqNuvpC8+T1QtDizeJidLd51R/xJ7aamzT85UcUv2LCa7c3eYyhVtcbxuvvqaP/nPP4EoV3VgsZt111yCNGXtqjthxPMMwVD/6ORmGb4qKAy0dFBN+U7m53HHbubpuTOX7pXu3Jnrl+asUGVFxUW1d1yV6mBKDyx+NwZOSgjuoi59GCj5VJARH6J72vhnp9oKkDhqQePK+UWRUiJ5+/RrF1YuoVvzmrerriVeuOmWLJA3DpJio5+SL45VjrNYeCg0ZdcJzjZJjNfGZyxVYxr5sZZhMhv7zwIU67RQejUWSEiIfkMXs/vQaVRUS2FvRob4r9jqV3dm+n5qGVX70Y3dFW0M0oav7U/fCMwzD0P/GDVbbxtUvfLEEmPXcTReqSf2K/05Cw4L09GvXqHmryhfrHNOiTaKeeu1qhYadmsWuxxvZpJe6RCd7tY1bWg1UkzDXN3HFxITqxZeu0gWDOikgwL1z9507N9arr4xWhw6+LTyqiQzDqpio533ZomKiXpBRzk0jwcFWTXzmcl0+6gwFBbtX6NyseT1Nevkq9e3v/nnFuu6utkMVF+jdkcBMMjSh06UKLGOUdKAuKyws1OzZs/XOO+9o9uzZNXJ0qH/mZLVW7qafwMAT93MKCgqqnRNQE1DlAVQgLqiZesb5ZpqzHrEjVS+opU/aOlWFhY5WoLW3T9oyjHBFRz3ncmjcDm0aaNrkG3T7+AFq3ND1SZzWLRJ0320XaOrr16pJ41N32qR/igjqpqSIG7zaxrFCL8M4NS8c+YPZMOnN3perQ7TnCg37JbbQk92HVmnd1h0a6q6JF+nT+ffpxY/G6e4nh+r+Z4fr7W9v02uf36JBF3dXUIhvhsWvTQzD0DXJNyjEHOq1NsyGWWOajJPVdOIBW7v69fTSxUMUUMHdyZVRLzxU7468SCHWU/ekj9Vs0UPtr1ao2TuFO5c2OltnxLlXRDJoUGd99vmtuvHG/kpMjCp3ucTEKI0bf44++/xfGjK0i2cSrQOsluaKi7zPBy1ZVD/mJZejdxiGoWuu6q33375Owy/s6nKUFsOQevVsrv89cameefLyU3YEln8yGWadn/gfBRje/X0EGIE6L+lubhjxgYsan6az6nn32DAuMEwPdBxc7usNGsfqpfevV9fTKz86gCT1v6CjJk0eo8go349CXJMEBvZUWKh3j1eOMRSkmKgXy7zY2KVbE0165WrVT6zayGYRkcGa8NSlOndQp+qmWeuZTKFKinlB3pyK0GREKCnmOb5vfSTIbNGLPS/xyuiDFsOkF06/SDGB3jsmQvnCgwM1+a5LqzUSVkx4iF69bUSlYkTFhOqF967TxaN6qTIzZplMhi67prdeeOdaRUXzNyNJJsOkxztfolhr5aY1ctdZ9VprVFP3zhUHB1t1zz1D9Oln/9L1N/RVvTIK1YODrRo2/DS9+94NeuHFq9SosW+nCq/JgoLOVmiIbwqLw8LGKzDQ9TT1AQFmjbulvz779nb9687zldzk5PPtAQEm9T+3vV58Y7Qmf3iDOnTyfgF2bRJhCdbDHS+RyYs3G1zX4hx1iOL3jlPLlClT1KZNG40aNUp33323Ro0apTZt2mjKlCn+Tu0E/xzBqri4uFLrFxUVnfA4OJgbLFE3cCUZcEP32JE6WLhZO3J/81obyaE9dLqPCr1OZYZhUkz0S0o9dKEcjlRvtqSYqOcUENCgwiXDQgN1ydDTdPGQrlq5do8W/5aig2npKioqUVRUuGKjwzTg7DZq25IRr8qTHHWvikr26kj+Dx6PbShArePfUIi1lcdjw7UIa5Cm9r1ady/7VgsObKlWrMubdtGE0wbJaqreRZLQ8CC1at9AkXFHd6ESEmJdFllCig2M079a3K2XtzyjIkdRxStUgiFD1za5Wc3Dyv58DmzdXK9fdqHu+uYH5VXyAPCfmsZG690rL1KjaM9Mx1SbtQhP0v86X6//rn5PeXbP3X01NKmXbm5xYaXWiYwM0eVX9NSll52uFct3aHPKAaWmpkuSEhJi1LJlfXXr1lRmMxcvyxIdNk5FxeuUnf+V19qoH/O8gqzuFdU1bRKvO247T+Ov76t5P2/Q2vV7deRwlux2p2JjI9SwYYwGndfRZcHdqSw6sKEGN3hAs/Y+JqccHo9vkllDGjykaGvF+7eoPsMwNKnbpbp+6RRtyNrv8fjhAUF6s9fViq6gICA+IUL/e+1qzZm5Up99+KsO7M2oMHbzVvV1zfh+OqNva0+lW+tFRtyv4uK/VGxb6dV2oqL+J4ul/Clx2nVoqLen3qj331qg72askM1mrzCmYUh9+7fTLXecp+gY71z8ro1Cg3orKeYF7U+/Q5LTo7ENI1iN46fKGuDdEV9wonZR9fXumSM1bsmnyrF55rjFYjLrlZ6XqE9C1QpZ4RnhwYF69bYR+nbJOr04/RflFrjfv+f3aK17rzxH0WGVvyAYFGTRjXeerwGDO+nbz/7QornrVFxUUuay1sAAnXN+Bw2/ome1Rs6qqxqExOiN08fq5j8+UHpxnsfi9oprrme6XilzJYtdY2JCNWpUb11xRS/t35+uXTv3y+5wqHHjJCUlRSsw8NS9aasiUZETZLOtV7FthdfaCLT2UmSE+zcbhYYGavgl3TXs4m46sD9DO3bsla3YrkaNE1W/fpRCw3wzcnRt1Tu+lR7qeLEeX/u1nB7eJ7qoUQ+NbzHAozGBmm7KlCm67bbbTno+PT299PkxY8b4Oq0yhYWdeHxY2VG6/rn8P+MBtRUFWIAbTIZZg5Me0ux9j2lX3h8ej98o5DQNaTBBZhcjA8BzAgIaKT7uMx06fKkcjiNeaSM66hmFhFRuahbDMHRap8bq3L6BUlOPFoclJCTI7IUptOoawzCrZdxLMg4H6HD+LI/FNRmBahX3uqKDz/FYTFROuCVQb/W5XN/sWqMnV81Vtq1yO/EJweF6otsQ9Uts4aUM4Y5mYS11R6v79dqW55Vn98xc7gGGRdc3vVldo3u4XO6cls303Y3X6MHZc7Vkx+5Kt2NIGtvzNN3Rr7eCLWynj+kY1UwvnXaLJq7/SHvyD1UrltkwaWzT83VV8oAqFzSaTIa692imrqclsw2tBMMwqX7MC3LKoZz8bzwc3aSE6EmKDL200muGhARq2NCuGjKoE/1ZSc3Dz9DQBg/p+/3/k91p81hcs2HR4AYPqFl4T4/FRMXCLEF6+4zRunXZJ1qdscdjcaOtIZrc6xq1iXTvBg/DMHTB8NN03oVdtWLZNv25ZItSNu7Xnl2HVVLiUFCQVclN49WybaJ692ujth0bUqD+DyZTiOLiPtGhw5fLZlvnlTaiIh9TWOiVFS4XHGLVrXeer1Fjz9Sc2av025It2r4lVYWFf39nBASY1LR5grqd3lRDhp+m+hS+likq9FIZCtC+9DskeeY712SKUuO4DxUS6HofF95xWmwjTes7Rv/581ttzkqrVqyGIVGa1GO4usc19lB2qA7DMHTRmR11brdW+n7ZJn3z61ql7D0kZxm1AtHhwTq3Wytd1reTmidVfwT6Fq0T9Z8Jw3XLfy7Q1k0HtHnDPu3bmyZDhpIaxqt1uwZq2TZJwYyq7VLLiPp6/4xxun/l59qUfaDa8S5q1F33tRsqq7nql8jMZpOSkqJlNh+94SshIZZjlgqYTKGKi/tYhw5fKZttjcfjW609FBc7VSaj8kWThmEooX6kZBw995iQEE9/uunCht0UaLZo4prpKnKUXWhaWVc3PUu3tT6f4wqcUgoKCvTII4+4XGbChAm64oorThp9yh/+WTCVk5NTqfWPXz4gIKBGvCfAEyjAAtwUYArUhQ0f06LUN7Q203MFHu0jB6lfwm0KMHGQ7UtWSxvVi5uhw0euUYl9h8fiGkaQoqOeV2jIxR6LCfeYDItaxr2o8Nxu2pXxjBzO6s0XHWrtoBaxzyrUyp37/mYYhi5u0lkDk1rr611rNG3rX9qRm+5ynQ7RibqqeTcNadRewQEUzdQETUNb6OF2T+mT3e9rbdaqasVqEtJMo5uMV1Kwe6OwJEVG6P1RF+unzVv1yZ+r9fuuii9iW8xmDW7XSmNO76oOiQnVyreuahHeQO/0uFsf7PhRX+5eJEcV7nRsEZak+9qOVIvwJC9kCHcYhkWJMa/IGtBMR7JfllT9k6VmU7zqxzyvsOCB1U8QldYi4kxdZnlOc/Y/q4zivdWOF21tqPOT7lFicFsPZIfKirQG673eY/TG5oX6cOuSKn3XHq9PvRZ6tPMw1Q+u/IiOJpOh7me0UPczWshut1MgWUlmU7TqxU3X4fRxKir6xYORAxUd9T+FhY6s1FrR0aG68po+uvKaPrLbHTqwP13796fKEmBW2/bNFBTEOQp3RIaOUKClpfan36lC2/pqxQoNOkdJ0ZNkCWC/yJ9aRyboq/436M1Nv+jtzUtlc1Q8UtzxTDJ0ZbNuuqfjAIUG8DmqacKCA3V5v866vF9n5RUWa+Oug9qya78cDoeSEuLVJjlB9aPDvXLBPyQ0UJ26NVH7Lo3YhlZR49A4Tel9kz7ctljvbF2oEmflPp+SlBAUoYc7XqTe8d6d6hnlO7ZPlJ5xmwoK53gsbnDwcMVEvSCT6dSe/tpfzkvspNYRSZq4ZrrWZFb+BshjEoIi9XDHi9Uzjs8oTj3z589XRobrUafT09M1b948DR061EdZla9BgxPPze/d6/45KKfTqX379pUbC6jNKMACKsFsWNS//u1qEX6m5h14XjklVb8bLiwgXgPq36kmYa7nIof3WCzNlVBvnrKyn1Ju3nvVjme19lBM9EuyBDC0vL8YhkmJ4aMVHdRPOzIeU0bBgkrHCDBFKilinBpEjJdhsJmsSSKsQRrb8nSNadFDu/MytC7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      "text/plain": [
       "<Figure size 1200x900 with 48 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 900,
       "width": 1200
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure Size: (1200 x 900)>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot = li.pl.dotplot_by_sample(adata=adata,\n",
    "                               colour='magnitude_rank',\n",
    "                               size='specificity_rank',\n",
    "                               source_labels=[\"CD4T\", \"B\", \"FGR3\"],\n",
    "                               target_labels=[\"CD8T\", 'DCs', 'CD14'],\n",
    "                               ligand_complex = 'B2M',\n",
    "                               receptor_complex=[\"KLRD1\", \"LILRB2\", \"CD3D\"],\n",
    "                               sample_key=sample_key,\n",
    "                               inverse_colour=True,\n",
    "                               inverse_size=True,\n",
    "                               figure_size=(12, 9),\n",
    "                               size_range=(1, 6),\n",
    "                               )\n",
    "\n",
    "\n",
    "plot.save(output_folder + '/Dotplot-by-sample.pdf', height=9, width=12)\n",
    "plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1973eb14",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "The key parameters used here are:\n",
    "\n",
    "- `source_labels` is a list containing the names of the sender cells of interest.\n",
    "- `target_labels` is a list containing the names of the receiver cells of interest.\n",
    "- `ligand_complex` is a list containing the names of the ligands of interest.\n",
    "- `receptor_complex` is a list containing the names of the receptors of interest.\n",
    "- `sample_key` is a string containing the column name where samples are specified."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0128ffac",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Let's export it in case we want to access it later:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "55e7c663",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "adata.uns['liana_res'].to_csv(output_folder + '/LIANA_by_sample.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbe20685",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Alternatively, one could just export the whole AnnData object, together with the ligand-receptor results stored:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7206c269",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "adata.write_h5ad(output_folder + '/adata_processed.h5ad', compression='gzip')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7a83770",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Comparing cell-cell communication across multiple samples\n",
    "\n",
    "We can use Tensor-cell2cell to infer context-dependent CCC patterns from multiple samples simultaneously. To do so, we must first restructure the communication scores (LIANA's output) into a 4D-Communication Tensor.\n",
    "\n",
    "The tensor is built as follows: we create matrices with the communication scores for each of the ligand-receptor pairs within the same sample, then generate a 3D tensor for each sample, and finally concatenate them to form the 4D tensor:\n",
    "\n",
    "![ccc-scores](https://github.com/earmingol/cell2cell/blob/master/docs/tutorials/ASD/figures/4d-tensor.png?raw=true)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08b278fd",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "First, we generate a list containing all samples from our AnnData object. Here, we can find the names of each of the samples in the `sample` column of the adata.obs information:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "30e78ff9",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "sorted_samples = sorted(adata.obs[sample_key].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc213b33",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Then we can directly pass the communication scores from LIANA to build the 3D tensors for each sample (panel c in last figure), and concatenate them, with the following function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "729cf373",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample</th>\n",
       "      <th>source</th>\n",
       "      <th>target</th>\n",
       "      <th>ligand_complex</th>\n",
       "      <th>receptor_complex</th>\n",
       "      <th>lr_means</th>\n",
       "      <th>cellphone_pvals</th>\n",
       "      <th>expr_prod</th>\n",
       "      <th>scaled_weight</th>\n",
       "      <th>lr_logfc</th>\n",
       "      <th>spec_weight</th>\n",
       "      <th>lrscore</th>\n",
       "      <th>lr_probs</th>\n",
       "      <th>cellchat_pvals</th>\n",
       "      <th>specificity_rank</th>\n",
       "      <th>magnitude_rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ctrl&amp;101</td>\n",
       "      <td>FGR3</td>\n",
       "      <td>CD14</td>\n",
       "      <td>TIMP1</td>\n",
       "      <td>CD63</td>\n",
       "      <td>2.634805</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.247571</td>\n",
       "      <td>1.544213</td>\n",
       "      <td>2.285625</td>\n",
       "      <td>0.132291</td>\n",
       "      <td>0.984058</td>\n",
       "      <td>0.268787</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.401877e-09</td>\n",
       "      <td>1.325768e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ctrl&amp;101</td>\n",
       "      <td>FGR3</td>\n",
       "      <td>DCs</td>\n",
       "      <td>TIMP1</td>\n",
       "      <td>CD63</td>\n",
       "      <td>2.321779</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.076271</td>\n",
       "      <td>1.154960</td>\n",
       "      <td>1.413446</td>\n",
       "      <td>0.086314</td>\n",
       "      <td>0.980338</td>\n",
       "      <td>0.199095</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.764034e-09</td>\n",
       "      <td>8.484083e-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ctrl&amp;101</td>\n",
       "      <td>CD14</td>\n",
       "      <td>CD14</td>\n",
       "      <td>TIMP1</td>\n",
       "      <td>CD63</td>\n",
       "      <td>2.261914</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.904150</td>\n",
       "      <td>1.277493</td>\n",
       "      <td>1.908720</td>\n",
       "      <td>0.103844</td>\n",
       "      <td>0.982043</td>\n",
       "      <td>0.225244</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.401877e-09</td>\n",
       "      <td>1.548535e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ctrl&amp;101</td>\n",
       "      <td>NK</td>\n",
       "      <td>CD8T</td>\n",
       "      <td>B2M</td>\n",
       "      <td>CD3D</td>\n",
       "      <td>2.319840</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.631051</td>\n",
       "      <td>1.018839</td>\n",
       "      <td>0.661349</td>\n",
       "      <td>0.079802</td>\n",
       "      <td>0.975643</td>\n",
       "      <td>0.143878</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.773842e-08</td>\n",
       "      <td>9.029901e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ctrl&amp;101</td>\n",
       "      <td>NK</td>\n",
       "      <td>NK</td>\n",
       "      <td>B2M</td>\n",
       "      <td>KLRD1</td>\n",
       "      <td>2.337043</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.767930</td>\n",
       "      <td>1.685281</td>\n",
       "      <td>0.911614</td>\n",
       "      <td>0.096133</td>\n",
       "      <td>0.976239</td>\n",
       "      <td>0.136489</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.401877e-09</td>\n",
       "      <td>9.662321e-10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     sample source target ligand_complex receptor_complex  lr_means  \\\n",
       "0  ctrl&101   FGR3   CD14          TIMP1             CD63  2.634805   \n",
       "1  ctrl&101   FGR3    DCs          TIMP1             CD63  2.321779   \n",
       "2  ctrl&101   CD14   CD14          TIMP1             CD63  2.261914   \n",
       "3  ctrl&101     NK   CD8T            B2M             CD3D  2.319840   \n",
       "4  ctrl&101     NK     NK            B2M            KLRD1  2.337043   \n",
       "\n",
       "   cellphone_pvals  expr_prod  scaled_weight  lr_logfc  spec_weight   lrscore  \\\n",
       "0              0.0   6.247571       1.544213  2.285625     0.132291  0.984058   \n",
       "1              0.0   4.076271       1.154960  1.413446     0.086314  0.980338   \n",
       "2              0.0   4.904150       1.277493  1.908720     0.103844  0.982043   \n",
       "3              0.0   2.631051       1.018839  0.661349     0.079802  0.975643   \n",
       "4              0.0   2.767930       1.685281  0.911614     0.096133  0.976239   \n",
       "\n",
       "   lr_probs  cellchat_pvals  specificity_rank  magnitude_rank  \n",
       "0  0.268787             0.0      6.401877e-09    1.325768e-12  \n",
       "1  0.199095             0.0      8.764034e-09    8.484083e-11  \n",
       "2  0.225244             0.0      6.401877e-09    1.548535e-10  \n",
       "3  0.143878             0.0      1.773842e-08    9.029901e-10  \n",
       "4  0.136489             0.0      6.401877e-09    9.662321e-10  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.uns['liana_res'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "77e9122a",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████| 16/16 [00:21<00:00,  1.36s/it]\n"
     ]
    }
   ],
   "source": [
    "# build the tensor\n",
    "tensor = li.multi.to_tensor_c2c(liana_res=adata.uns['liana_res'], # LIANA's dataframe containing results\n",
    "                                sample_key=sample_key, # Column name of the samples\n",
    "                                source_key='source', # Column name of the sender cells\n",
    "                                target_key='target', # Column name of the receiver cells\n",
    "                                ligand_key='ligand_complex', # Column name of the ligands\n",
    "                                receptor_key='receptor_complex', # Column name of the receptors\n",
    "                                score_key='magnitude_rank', # Column name of the communication scores to use\n",
    "                                inverse_fun=lambda x: 1 - x, # Transformation function\n",
    "                                how='outer_cells', # What to include across all samples\n",
    "                                outer_fraction=1/3, # Fraction of samples as threshold to include cells and LR pairs.\n",
    "                                context_order=sorted_samples, # Order to store the contexts in the tensor\n",
    "                               )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f9f5a3b",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "The key parameters when building a tensor are:\n",
    "\n",
    "- `liana_res` is the dataframe containing the results from LIANA, usually located in `adata.uns[‘liana_res’]. We can pass directly the AnnData object to the parameter adata in this function. If the AnnData object is passed, we do not need to specify the liana_res parameter.\n",
    "\n",
    "- `sample_key`, `source_key`, `target_key`, `ligand_key`, `receptor_key`, and `score_key` are the column names in the dataframe containing the samples, sender cells, receiver cells, ligands, receptors, and communication scores, respectively. Each row of the dataframe contains a unique combination of these elements.\n",
    "\n",
    "- `inverse_fun` is the function we use to convert the communication score before using it to build the tensor. In this case, the 'magnitude_rank' score generated by LIANA considers low values as the most important ones, ranging from 0 to 1. In contrast, Tensor-cell2cell requires higher values to be the most important scores, so here we pass a function (`lambda x: 1 - x`) to adapt LIANA's magnitude-rank scores (subtracts the LIANA's score from 1). If `None` is passed instead, no transformation will be performed on the communication score. If using other scores coming from one of the methods implemented in LIANA, a similar transformation can be done depending on the parameters and assumptions of the scoring method.\n",
    "\n",
    "- `how` controls which ligand-receptor pairs and cell types to include when building the tensor. This decision depends on whether the missing values across a number of samples for both ligand-receptor interactions and sender-receiver cell pairs are considered to be biologically-relevant. Options are:\n",
    "    - `'inner'` is the more strict option since it only considers only cell types and LR pairs that are present in all contexts (intersection).\n",
    "    - `'outer'` considers all cell types and LR pairs that are present across contexts (union).\n",
    "    - `'outer_lrs'` considers only cell types that are present in all contexts (intersection), while all LR pairs that are present across contexts (union).\n",
    "    - `'outer_cells'` considers only LR pairs that are present in all contexts (intersection), while all cell types that are present across contexts (union).\n",
    "\n",
    "- `outer_fraction` controls the elements to include in the union scenario of the `how` options. Only elements that are present at least in this fraction of samples/contexts will be included. When this value is 0, the tensor includes all elements across the samples. When this value is 1, it acts as using `how='inner'`.\n",
    "\n",
    "- `context_order` is a list specifying the order of the samples. The order of samples does not affect the results, but it is useful for posterior visualizations."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4f0e371",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "We can check the shape of this tensor to verify the number of samples, LR pairs, sender cells, adn receiver cells, respectively:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2497a7c3",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([16, 435, 7, 7])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tensor.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48847962",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "In addition, optionally we can generate the metadata for coloring the elements in each of the tensor dimensions (i.e., for each of the contexts/samples, ligand-receptor pairs, sender cells, and receiver cells). For this, we have to pass dictionaries for each dimension containing the elements and their respective major groups. In cases where we do not account with such information, we do not need to generate such dictionaries. For the contexts/samples dictionary, we can use the metadata in the AnnData object. This information will be used later for visualization of the results.\n",
    "\n",
    "In this example dataset, we can find samples in the column `'sample'`, while the condition groups are found in the column `'condition'`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "8ca2e359",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "context_dict = adata.obs.sort_values(by=sample_key) \\\n",
    "                        .set_index(sample_key)[condition_key] \\\n",
    "                        .to_dict()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22528120",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Then, the metadata can be generated with:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "148e9e6b",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "dimensions_dict = [context_dict, None, None, None]\n",
    "meta_tensor = c2c.tensor.generate_tensor_metadata(interaction_tensor=tensor,\n",
    "                                                  metadata_dicts=dimensions_dict,\n",
    "                                                  fill_with_order_elements=True\n",
    "                                                 )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12fed28e",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "We can export our tensor and its metadata:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "fed69c57",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../../data/quickstart/outputs_pbmcs//Tensor.pkl  was correctly saved.\n",
      "../../data/quickstart/outputs_pbmcs//Tensor-Metadata.pkl  was correctly saved.\n"
     ]
    }
   ],
   "source": [
    "c2c.io.export_variable_with_pickle(variable=tensor,\n",
    "                                   filename=output_folder + '/Tensor.pkl')\n",
    "c2c.io.export_variable_with_pickle(variable=meta_tensor,\n",
    "                                   filename=output_folder + '/Tensor-Metadata.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e9b5752",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Then, we can load them with:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "fe03ee4f",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "tensor = c2c.io.read_data.load_tensor(output_folder + '/Tensor.pkl')\n",
    "meta_tensor = c2c.io.load_variable_with_pickle(output_folder + '/Tensor-Metadata.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5a8bba1",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Perform Tensor Factorization"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "288e8d17",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Now that we have built the tensor and its metadata, we can run Tensor Component Analysis via Tensor-cell2cell with one simple command that we implemented for our unified framework:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4d415194",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running Elbow Analysis\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████| 25/25 [03:40<00:00,  8.83s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The rank at the elbow is: 6\n",
      "Running Tensor Factorization\n",
      "Generating Outputs\n",
      "Loadings of the tensor factorization were successfully saved into ../../data/quickstart/outputs_pbmcs//Loadings.xlsx\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<cell2cell.tensor.tensor.PreBuiltTensor at 0x7ffa482c84d0>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x225 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 24 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c2c.analysis.run_tensor_cell2cell_pipeline(tensor,\n",
    "                                           meta_tensor,\n",
    "                                           rank=None, # Number of factors to perform the factorization. If None, it is automatically determined by an elbow analysis\n",
    "                                           tf_optimization='regular', # To define how robust we want the analysis to be.\n",
    "                                           random_state=0, # Random seed for reproducibility\n",
    "                                           device='cuda', # Device to use. If using GPU and PyTorch, use 'cuda'. For CPU use 'cpu'\n",
    "                                           output_folder=output_folder, # Whether to save the figures in files. If so, a folder pathname must be passed\n",
    "                                          )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e10dbdbe",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**Key parameters are:**\n",
    "\n",
    "- `rank`  is the number of factors or latent patterns we want to obtain from the analysis. You can either indicate a specific number or leave it as `None` to perform the decomposition with a suggested number from an elbow analysis.\n",
    "\n",
    "- `tf_optimization` indicates whether running the analysis in the `'regular'` or the `'robust'` way. The `'regular'` way runs the tensor decomposition less number of times than the robust way to select an optimal result. Additionally, the former employs less strict convergence parameters to obtain optimal results than the latter, which is also translated into a faster generation of results. **Important**: When using `tf_optimization='robust'` the analysis takes much longer to run than using `tf_optimization='regular'`. However, the latter may generate less robust results.\n",
    "\n",
    "- `random_state` is the seed for randomization. It controls the randomization used when initializing the optimization algorithm that performs the tensor decomposition. It is useful for reproducing the same result every time that the analysis is run. If `None`, a different randomization will be used each time.\n",
    "\n",
    "\n",
    "- `device` indicates whether we are using the `'cpu'` or a GPU with `'cuda'` cores.\n",
    "\n",
    "- `output_folder` is the full path to the folder where the results will be saved. Make sure that this folder exists before passing it here."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b12b4263",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "The figure representing the loadings in each factor generated here can be interpreted by interconnecting all dimensions within a single factor. For example, if we take one of these factors, the cell-cell communication program occurs in each sample proportionally to their loadings. Then, this signature can be interpreted with the loadings of the ligand-receptor pairs, sender cells, and receiver cells. Ligands in high-loading ligand-receptor pairs are sent predominantly by high-loading sender cells, and interact with the cognate receptors on the high-loadings receiver cells."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f604c57f",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Downstream Visualizations: Making sense of the factors\n",
    "\n",
    "After running the decomposition, the results are stored in the `factors` attribute of the tensor object. This attribute is a dictionary containing the loadings for each of the elements in every tensor dimension. Loadings delineate the importance of that particular element to that factor. Keys are the names of the different dimension."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "a5cb1cda",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "odict_keys(['Contexts', 'Ligand-Receptor Pairs', 'Sender Cells', 'Receiver Cells'])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tensor.factors.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37bc353f",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "We can inspect the loadings of the samples, for example, located under the key `'Contexts'`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a75ef8df",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Factor 1</th>\n",
       "      <th>Factor 2</th>\n",
       "      <th>Factor 3</th>\n",
       "      <th>Factor 4</th>\n",
       "      <th>Factor 5</th>\n",
       "      <th>Factor 6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ctrl&amp;101</th>\n",
       "      <td>0.270332</td>\n",
       "      <td>0.247286</td>\n",
       "      <td>0.292592</td>\n",
       "      <td>0.215103</td>\n",
       "      <td>4.010570e-10</td>\n",
       "      <td>0.231475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ctrl&amp;1015</th>\n",
       "      <td>0.291630</td>\n",
       "      <td>0.291086</td>\n",
       "      <td>0.341411</td>\n",
       "      <td>0.233093</td>\n",
       "      <td>1.044283e-02</td>\n",
       "      <td>0.250662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ctrl&amp;1016</th>\n",
       "      <td>0.238585</td>\n",
       "      <td>0.217481</td>\n",
       "      <td>0.288124</td>\n",
       "      <td>0.247691</td>\n",
       "      <td>1.342540e-02</td>\n",
       "      <td>0.246392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ctrl&amp;1039</th>\n",
       "      <td>0.275843</td>\n",
       "      <td>0.289148</td>\n",
       "      <td>0.302774</td>\n",
       "      <td>0.231855</td>\n",
       "      <td>4.795332e-03</td>\n",
       "      <td>0.233603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ctrl&amp;107</th>\n",
       "      <td>0.259571</td>\n",
       "      <td>0.206496</td>\n",
       "      <td>0.321550</td>\n",
       "      <td>0.283955</td>\n",
       "      <td>1.288960e-06</td>\n",
       "      <td>0.221600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ctrl&amp;1244</th>\n",
       "      <td>0.277072</td>\n",
       "      <td>0.260974</td>\n",
       "      <td>0.317252</td>\n",
       "      <td>0.261879</td>\n",
       "      <td>9.721018e-05</td>\n",
       "      <td>0.254720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ctrl&amp;1256</th>\n",
       "      <td>0.286455</td>\n",
       "      <td>0.266752</td>\n",
       "      <td>0.315117</td>\n",
       "      <td>0.195056</td>\n",
       "      <td>4.492147e-02</td>\n",
       "      <td>0.244827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ctrl&amp;1488</th>\n",
       "      <td>0.265057</td>\n",
       "      <td>0.222111</td>\n",
       "      <td>0.292968</td>\n",
       "      <td>0.249131</td>\n",
       "      <td>5.467816e-06</td>\n",
       "      <td>0.222546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stim&amp;101</th>\n",
       "      <td>0.239308</td>\n",
       "      <td>0.220685</td>\n",
       "      <td>0.207800</td>\n",
       "      <td>0.210447</td>\n",
       "      <td>3.497421e-01</td>\n",
       "      <td>0.270802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stim&amp;1015</th>\n",
       "      <td>0.226724</td>\n",
       "      <td>0.319908</td>\n",
       "      <td>0.161027</td>\n",
       "      <td>0.238773</td>\n",
       "      <td>4.213534e-01</td>\n",
       "      <td>0.260401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stim&amp;1016</th>\n",
       "      <td>0.235833</td>\n",
       "      <td>0.270952</td>\n",
       "      <td>0.173388</td>\n",
       "      <td>0.231356</td>\n",
       "      <td>3.268313e-01</td>\n",
       "      <td>0.248756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stim&amp;1039</th>\n",
       "      <td>0.214386</td>\n",
       "      <td>0.219641</td>\n",
       "      <td>0.189005</td>\n",
       "      <td>0.243921</td>\n",
       "      <td>2.827033e-01</td>\n",
       "      <td>0.255100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stim&amp;107</th>\n",
       "      <td>0.234389</td>\n",
       "      <td>0.188312</td>\n",
       "      <td>0.160595</td>\n",
       "      <td>0.329494</td>\n",
       "      <td>3.207296e-01</td>\n",
       "      <td>0.255509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stim&amp;1244</th>\n",
       "      <td>0.229499</td>\n",
       "      <td>0.237026</td>\n",
       "      <td>0.155739</td>\n",
       "      <td>0.305001</td>\n",
       "      <td>3.654820e-01</td>\n",
       "      <td>0.258046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stim&amp;1256</th>\n",
       "      <td>0.220098</td>\n",
       "      <td>0.275639</td>\n",
       "      <td>0.174542</td>\n",
       "      <td>0.204366</td>\n",
       "      <td>3.748907e-01</td>\n",
       "      <td>0.265136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stim&amp;1488</th>\n",
       "      <td>0.214711</td>\n",
       "      <td>0.227280</td>\n",
       "      <td>0.136243</td>\n",
       "      <td>0.278003</td>\n",
       "      <td>3.661750e-01</td>\n",
       "      <td>0.273102</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Factor 1  Factor 2  Factor 3  Factor 4      Factor 5  Factor 6\n",
       "ctrl&101   0.270332  0.247286  0.292592  0.215103  4.010570e-10  0.231475\n",
       "ctrl&1015  0.291630  0.291086  0.341411  0.233093  1.044283e-02  0.250662\n",
       "ctrl&1016  0.238585  0.217481  0.288124  0.247691  1.342540e-02  0.246392\n",
       "ctrl&1039  0.275843  0.289148  0.302774  0.231855  4.795332e-03  0.233603\n",
       "ctrl&107   0.259571  0.206496  0.321550  0.283955  1.288960e-06  0.221600\n",
       "ctrl&1244  0.277072  0.260974  0.317252  0.261879  9.721018e-05  0.254720\n",
       "ctrl&1256  0.286455  0.266752  0.315117  0.195056  4.492147e-02  0.244827\n",
       "ctrl&1488  0.265057  0.222111  0.292968  0.249131  5.467816e-06  0.222546\n",
       "stim&101   0.239308  0.220685  0.207800  0.210447  3.497421e-01  0.270802\n",
       "stim&1015  0.226724  0.319908  0.161027  0.238773  4.213534e-01  0.260401\n",
       "stim&1016  0.235833  0.270952  0.173388  0.231356  3.268313e-01  0.248756\n",
       "stim&1039  0.214386  0.219641  0.189005  0.243921  2.827033e-01  0.255100\n",
       "stim&107   0.234389  0.188312  0.160595  0.329494  3.207296e-01  0.255509\n",
       "stim&1244  0.229499  0.237026  0.155739  0.305001  3.654820e-01  0.258046\n",
       "stim&1256  0.220098  0.275639  0.174542  0.204366  3.748907e-01  0.265136\n",
       "stim&1488  0.214711  0.227280  0.136243  0.278003  3.661750e-01  0.273102"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tensor.factors['Contexts']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6d8d8cf2",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Factor 1</th>\n",
       "      <th>Factor 2</th>\n",
       "      <th>Factor 3</th>\n",
       "      <th>Factor 4</th>\n",
       "      <th>Factor 5</th>\n",
       "      <th>Factor 6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>0.416015</td>\n",
       "      <td>0.385384</td>\n",
       "      <td>0.010189</td>\n",
       "      <td>0.358390</td>\n",
       "      <td>0.367898</td>\n",
       "      <td>0.263979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CD14</th>\n",
       "      <td>0.164361</td>\n",
       "      <td>0.382299</td>\n",
       "      <td>0.645374</td>\n",
       "      <td>0.376272</td>\n",
       "      <td>0.484843</td>\n",
       "      <td>0.467544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CD4T</th>\n",
       "      <td>0.469885</td>\n",
       "      <td>0.365400</td>\n",
       "      <td>0.000145</td>\n",
       "      <td>0.367074</td>\n",
       "      <td>0.229020</td>\n",
       "      <td>0.175351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CD8T</th>\n",
       "      <td>0.490371</td>\n",
       "      <td>0.374164</td>\n",
       "      <td>0.002215</td>\n",
       "      <td>0.373320</td>\n",
       "      <td>0.220655</td>\n",
       "      <td>0.221917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DCs</th>\n",
       "      <td>0.254085</td>\n",
       "      <td>0.388060</td>\n",
       "      <td>0.534771</td>\n",
       "      <td>0.402502</td>\n",
       "      <td>0.452011</td>\n",
       "      <td>0.538169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FGR3</th>\n",
       "      <td>0.218537</td>\n",
       "      <td>0.376688</td>\n",
       "      <td>0.545346</td>\n",
       "      <td>0.381490</td>\n",
       "      <td>0.470661</td>\n",
       "      <td>0.507878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NK</th>\n",
       "      <td>0.475756</td>\n",
       "      <td>0.373264</td>\n",
       "      <td>0.001327</td>\n",
       "      <td>0.385126</td>\n",
       "      <td>0.320317</td>\n",
       "      <td>0.290097</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Factor 1  Factor 2  Factor 3  Factor 4  Factor 5  Factor 6\n",
       "B     0.416015  0.385384  0.010189  0.358390  0.367898  0.263979\n",
       "CD14  0.164361  0.382299  0.645374  0.376272  0.484843  0.467544\n",
       "CD4T  0.469885  0.365400  0.000145  0.367074  0.229020  0.175351\n",
       "CD8T  0.490371  0.374164  0.002215  0.373320  0.220655  0.221917\n",
       "DCs   0.254085  0.388060  0.534771  0.402502  0.452011  0.538169\n",
       "FGR3  0.218537  0.376688  0.545346  0.381490  0.470661  0.507878\n",
       "NK    0.475756  0.373264  0.001327  0.385126  0.320317  0.290097"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tensor.factors['Sender Cells']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9c8b8e6",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Downstream Visualizations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73960a87",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "We can use these loadings to compare pairs of sample major groups with boxplots and statistical tests:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "4438a906",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 1600x1200 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_filename = output_folder + '/PBMCs-Boxplots.pdf'\n",
    "\n",
    "_ = c2c.plotting.context_boxplot(context_loadings=tensor.factors['Contexts'],\n",
    "                                 metadict=context_dict,\n",
    "                                 nrows=3,\n",
    "                                 figsize=(16, 12),\n",
    "                                 statistical_test='t-test_ind',\n",
    "                                 pval_correction='fdr_bh',\n",
    "                                 cmap='plasma',\n",
    "                                 verbose=False,\n",
    "                                 filename=fig_filename\n",
    "                                )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1b03880",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Using the loadings for any dimension, we can also generate heatmaps for the elements with loadings above a certain threshold. Additionally, we can cluster these elements by the similarity of their loadings across all factors:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "38aa9e4b",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2800x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_filename = output_folder + '/Clustermap-LRs.pdf'\n",
    "\n",
    "_ = c2c.plotting.loading_clustermap(loadings=tensor.factors['Ligand-Receptor Pairs'],\n",
    "                                    loading_threshold=0.1,\n",
    "                                    use_zscore=False,\n",
    "                                    figsize=(28, 8),\n",
    "                                    filename=fig_filename,\n",
    "                                    row_cluster=False,\n",
    "                                    tick_fontsize=16,\n",
    "                                    dendrogram_ratio=0.15,\n",
    "                                   )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6672057-ad2f-4b9d-b4c4-caab95d90ed2",
   "metadata": {},
   "source": [
    "### Overall CCI potential: Heatmap and network visualizations of sender-receiver cell pairs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88619ac8",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "In addition, we can also evaluate the overall interactions between sender-receiver cell pairs that are determinant for a given factor or program. We can do it through a heatmap where the X-axis represent the receiver cells and the Y-axis shows the receiver cells. Here, the potential of interaction is calculated as the outer product between the loadings for the sender and receiver cells dimensions of a particular factor. To illustrate this, we chose Factor 3, but this can be repeated for every factor obtained in the decomposition."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "55878b96",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "selected_factor = 'Factor 3'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "ee86a88a",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "loading_product = c2c.analysis.tensor_downstream.get_joint_loadings(tensor.factors,\n",
    "                                                                    dim1='Sender Cells',\n",
    "                                                                    dim2='Receiver Cells',\n",
    "                                                                    factor=selected_factor,\n",
    "                                                                   )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "571d3915",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lprod_cm = c2c.plotting.loading_clustermap(loading_product.T, # Remove .T to transpose the axes\n",
    "                                           use_zscore=False, # Whether standardizing the loadings across factors\n",
    "                                           figsize=(8, 8),\n",
    "                                           filename=output_folder + '/Clustermap-CC-Pairs.pdf',\n",
    "                                           cbar_label='Loading Product',\n",
    "                                          )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5871748c",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Similarly, an interaction network can be created for each factor by using the loading product between sender and receiver cells. First we need to choose a threshold to indicate what pair of cells are interacting. This can be done as shown in [the extended tutorial](https://ccc-protocols.readthedocs.io/en/latest/notebooks/ccc_python/05-Downstream-Visualizations.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "f17cc26e",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "threshold = 0.075"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32aa6f12",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Then, we can plot all networks we are interested in:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "537abd25",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 3600x1200 with 3 Axes>,\n",
       " array([<Axes: title={'center': 'Factor 3'}>,\n",
       "        <Axes: title={'center': 'Factor 4'}>,\n",
       "        <Axes: title={'center': 'Factor 5'}>], dtype=object))"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3600x1200 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c2c.plotting.ccc_networks_plot(tensor.factors,\n",
    "                               included_factors=['Factor 3', 'Factor 4', 'Factor 5'],\n",
    "                               ccc_threshold=threshold, # Only important communication\n",
    "                               nrows=1,\n",
    "                               panel_size=(12,12), # This changes the size of each figure panel.\n",
    "                               node_label_size=30,\n",
    "                               filename=output_folder + '/Factor-Networks.pdf',\n",
    "                              )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2554f94",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "If ```included_factors=None```, all factors will be plotted."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bc477de",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Pathway Enrichment Analysis: Interpreting the context-driven communication"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2824a1b",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Classical Pathway Enrichment\n",
    "\n",
    "As the number of inferred interactions increases, the interpretation of the inferred cell-cell communication networks becomes more challenging. To this end, we can perform pathway enrichment analysis to identify the general biological processes that are enriched in the inferred interactions. Here, we will perform classical gene set enrichment analysis with `Reactome` gene sets."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69e27d0d",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "For the pathway enrichment analysis with GSEA, we use ligand-receptor pairs instead of individual genes. `Reactome` was initially designed to work with sets of genes, so first we need to generate ligand-receptor sets for each of it’s pathways:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "d4ecf1b1",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "lr_loadings = tensor.factors['Ligand-Receptor Pairs']\n",
    "\n",
    "# Generate list with ligand-receptors pairs in DB\n",
    "lr_list = ['^'.join(row) for idx, row in lr_pairs.iterrows()]\n",
    "\n",
    "# Specify the organism and pathway database to use for building the LR set\n",
    "organism = \"human\"\n",
    "pathwaydb = \"Reactome\"\n",
    "\n",
    "# Generate ligand-receptor gene sets\n",
    "lr_set = c2c.external.generate_lr_geneset(lr_list,\n",
    "                                          complex_sep='_',\n",
    "                                          lr_sep='^',\n",
    "                                          organism=organism,\n",
    "                                          pathwaydb=pathwaydb,\n",
    "                                          readable_name=True,\n",
    "                                          output_folder=output_folder\n",
    "                                         )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c2aeeaa",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Next, we can perform enrichment analysis on each factor using the loadings of the ligand-receptor pairs to obtain the normalized-enrichment scores (NES) and corresponding P-values from GSEA:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "b308f6ea",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../../data/quickstart/outputs_pbmcs/ already exists.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████| 6/6 [00:01<00:00,  3.52it/s]\n"
     ]
    }
   ],
   "source": [
    "pvals, scores, gsea_df = c2c.external.run_gsea(loadings=lr_loadings,\n",
    "                                               lr_set=lr_set,\n",
    "                                               output_folder=output_folder,\n",
    "                                               weight=1,\n",
    "                                               min_size=10,\n",
    "                                               permutations=999,\n",
    "                                               processes=6,\n",
    "                                               random_state=6,\n",
    "                                               significance_threshold=0.05,\n",
    "                                              )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10a15570",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "The enriched pathways for each factor are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "4624502f",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Factor</th>\n",
       "      <th>Term</th>\n",
       "      <th>NES</th>\n",
       "      <th>P-value</th>\n",
       "      <th>Adj. P-value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Factor 1</td>\n",
       "      <td>NEUTROPHIL DEGRANULATION</td>\n",
       "      <td>1.143737</td>\n",
       "      <td>0.002002</td>\n",
       "      <td>0.046547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Factor 1</td>\n",
       "      <td>ADAPTIVE IMMUNE SYSTEM</td>\n",
       "      <td>1.121092</td>\n",
       "      <td>0.001000</td>\n",
       "      <td>0.026571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Factor 1</td>\n",
       "      <td>IMMUNOREGULATORY INTERACTIONS BETWEEN A LYMPHO...</td>\n",
       "      <td>1.120429</td>\n",
       "      <td>0.001000</td>\n",
       "      <td>0.026571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Factor 2</td>\n",
       "      <td>INFECTIOUS DISEASE</td>\n",
       "      <td>1.139834</td>\n",
       "      <td>0.001000</td>\n",
       "      <td>0.026571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Factor 2</td>\n",
       "      <td>IMMUNOREGULATORY INTERACTIONS BETWEEN A LYMPHO...</td>\n",
       "      <td>1.139245</td>\n",
       "      <td>0.001000</td>\n",
       "      <td>0.026571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Factor 2</td>\n",
       "      <td>ADAPTIVE IMMUNE SYSTEM</td>\n",
       "      <td>1.135042</td>\n",
       "      <td>0.001000</td>\n",
       "      <td>0.026571</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Factor                                               Term       NES  \\\n",
       "0   Factor 1                           NEUTROPHIL DEGRANULATION  1.143737   \n",
       "1   Factor 1                             ADAPTIVE IMMUNE SYSTEM  1.121092   \n",
       "2   Factor 1  IMMUNOREGULATORY INTERACTIONS BETWEEN A LYMPHO...  1.120429   \n",
       "31  Factor 2                                 INFECTIOUS DISEASE  1.139834   \n",
       "32  Factor 2  IMMUNOREGULATORY INTERACTIONS BETWEEN A LYMPHO...  1.139245   \n",
       "33  Factor 2                             ADAPTIVE IMMUNE SYSTEM  1.135042   \n",
       "\n",
       "     P-value  Adj. P-value  \n",
       "0   0.002002      0.046547  \n",
       "1   0.001000      0.026571  \n",
       "2   0.001000      0.026571  \n",
       "31  0.001000      0.026571  \n",
       "32  0.001000      0.026571  \n",
       "33  0.001000      0.026571  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gsea_df.loc[(gsea_df['Adj. P-value'] <= 0.05) & (gsea_df['NES'] > 0.)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60552b04",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "The depleted pathways are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "7b33d52d",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Factor</th>\n",
       "      <th>Term</th>\n",
       "      <th>NES</th>\n",
       "      <th>P-value</th>\n",
       "      <th>Adj. P-value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Factor 1</td>\n",
       "      <td>DISEASES OF SIGNAL TRANSDUCTION BY GROWTH FACT...</td>\n",
       "      <td>-1.097015</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.026571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>Factor 6</td>\n",
       "      <td>TOLL LIKE RECEPTOR TLR1 TLR2 CASCADE</td>\n",
       "      <td>-1.705882</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.026571</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Factor                                               Term       NES  \\\n",
       "4    Factor 1  DISEASES OF SIGNAL TRANSDUCTION BY GROWTH FACT... -1.097015   \n",
       "155  Factor 6               TOLL LIKE RECEPTOR TLR1 TLR2 CASCADE -1.705882   \n",
       "\n",
       "     P-value  Adj. P-value  \n",
       "4      0.001      0.026571  \n",
       "155    0.001      0.026571  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gsea_df.loc[(gsea_df['Adj. P-value'] <= 0.05) & (gsea_df['NES'] < 0.)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a32e2a15",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Finally, we can visualize the enrichment results using a dotplot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "ec0b7adf",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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ndsteeOEFRUU5/gHNmjWrypYt61LbNm3apODgYNWpU0dbt27V0qVL7S7spegvOTdu3NDChQuVJ08e2/wGDRqoX79+TttQokQJpxclVmvXrtWZM2c0Y8YMValSxW5Zz549ndYZ061bt/Taa68pQ4YMWrBggd3+a9Cggfz8/DRy5EgVL17c4aIuZ86cLu8fqx9//FG5c+fW1KlT5en53+nYvHlz25cpI2+++aZOnDihadOmqVKlSnbLGjRooAEDBmj79u0O61WrVk179uzRxIkT4w0qrVw5pgmRPn16h/1m7V1rtD9jnv+VK1dWZGSkxo4dq40bN6pt27Z2ZY8cOaJjx47Z2r5o0aI4vwC6s28mT56sSpUqacyYMXbzW7du7fRci71N1apVU+fOnW3/Q58nTx6XjntcvvjiCwUEBOirr75S69at7ZY1atRIvXr10v3791W4cGG7ZX/99Zckx8+UuERGRmrQoEG6c+eOFi5cqAIFCtiW1a5dW/7+/nrjjTf0xRdf6JNPPrFbNyHnnjP58uWz25e1a9fWkSNHtGrVKnXt2lUdOnTQhg0b9L///U+VK1e2BVbDhw+XxWLR559/blj//v37NWLECNWuXVtjxoyx+3JdtWpVde7cWWvWrFHq1I5fGmJ+TlWrVk03btzQkiVLtH//frvPpbffflt//fWXZsyYoYoVK9rmV69eXbVr11b37t319ttva+rUqZL+CxH37Nmj5s2b28rv2bNH7dq109y5c7V//37Vrl3bblnx4sWdvp98fX3l4eHh9H2W1CFifOeWK+/Rs2fPasiQIcqfP79mzpxp9x9KVatWVbdu3bRhwwa3P1P279+vzz//XLVr19a4ceMcPosHDhyozz77TMWLF3cIQNz5HIqLq+eL5PgZ4szBgwf18ccfq1q1avrhhx/szt3q1aurZ8+e2rFjh906adKkcfnvV8z3XqVKlZQhQwa9//77WrJkifr3729XNr7PFnffA1bOPkvr1Kmj+fPn2/1dmjFjhjw8PDRz5ky7gKVJkyZ6/fXXZbFYXNrm5PobYhX72qZ58+bq0qWLunTpov79+2vdunVOA10rd68lXDnerr7frKZMmaLVq1c79MKsXLmymjVrpg4dOmjQoEFas2aNMmbMaFvu7e2t5557TmPHjlXLli2VJk3895mLfb1Vu3Zt9ezZUwMHDtQ333yjIkWK2H0OxqV+/fpav369Vq9erQ4dOtjm7969W+fOnVOHDh20YMECh/Xi+tyMyZ1r3MReSxipWbOmVq5c6dJInIReU7rz/cCVz7u9e/fq4MGD+vzzz+0+R2vWrKkuXbrEey2fEHd3j7bvgegqS6QiLh5Q6O7RSlfjrSRvFwDg0fPEPZ352Wef1dtvv627d+9q3rx5cZYLDQ1VWFiY0+F1khx62blr0aJF8vLy0hdffKGcOXNqyZIlDhfrISEh8vDwcBh6nZg2WL/4JnS7Fi5cqOvXr2vo0KFOA9g+ffqoYMGCmjp1qsLDw91un7P2+vj42F30u9rWX3/9VQEBAerQoYPDxZ6Vj4+PWrVq5TDfOvRr9uzZcQ6Lic2VY5qSrF9Qr1+/7rBs0aJFkqKHmJUrV06rVq3SvXv3nNbjzr4JCQlJkvfQa6+9piJFimj27Nl68OCBy+vFdPXqVS1atEg1atRwCBCt8ufP79Jw/vhs2LBBf/75p/r27WsXIFo1a9ZMNWrU0OLFi3X16lW7ZQk591zh4eGhdOnS2b2XPvvsM0myDYVbtmyZNm/erA8//DDeXrSTJk2S2WzWJ598EueX96ZNm7rUG7dkyZKS7M/NI0eOKCAgQG3btrULT6wqVqyotm3bKiAgQL/99puk6KFqJpNJQUFBtnI3btzQiRMnVKdOHZUoUcJu2cWLF3X27Flbj81HmSvv0enTpys0NFQfffSR0x7pJpNJjRo1cvu1J0+eLJPJpI8//tjhs9jT01MfffSRTCaTpkyZEm9dRp9DrnJ2vrhj0qRJMplM+vTTT52eu6lSpYrzFhwJYQ0PLly44NZ6CXkPxCV9+vTKnz+/rl27Zjc/JCRE6dKlU7p06ZyuF3voc1yS62+IkWLFiqlfv366cOGCVq9ebVg2MdcScXHn/RYWFqapU6eqUKFC6tOnj0PZrFmzasiQIbp27ZptX8Y0bNgwXb58WTNnzkxQW6XoYPSzzz6Tl5eXQ+gclwwZMqhBgwa2XqZWixYtUvny5V26LUFc3LnGTaprCWd69+6tzJkzx9sTMTHXlInh7PMusdfy7rKE39f9QzPdDxBtFUTp3uFZskTcT9J2AQAeTU9ciChF/4+s2WzWvn374izj6+urfPnyac6cOZo2bZpOnToVbyBksVgUERHh8BN7vUuXLmnnzp2qX7++fH191bp1a505c0Z79+61K1e2bFlFRUXptdde044dO5wOGYktKirK4fUjIyPt6pSiezds3LhRN27ciLfOmHbt2iWz2ay6des6XW4ymVSvXj2FhITo6NGj8bYtvn1atmxZHT58WP/73/90+PBht4LJXbt2SYq+P05CvPbaazKbzRo9enS8ZV09pinp3LlzkuRw0X///n2tWrVKpUqVUtGiRdW2bVvdvXtXa9eujbMuV/dN2bJltX79eo0dO1bHjh2zOxfdVbduXd27d09HjhxJ0PpBQUEKDw9XgwYNEtwGV1nPPaMgon79+oqIiHB67y13zr24xHy/Xbt2TZMnT9aJEyf0/PPP28pkz55dw4cP15YtWzRp0iR9/vnnaty4sd3wZmciIyMVFBSkkiVLOgy5TQhn56Z1HxodL+v+tZbNnDmz/Pz87ILCvXv3ymw2q1y5cqpUqZLd/raWi92bzR3OPtciIiLc7gnirB4rV9+jAQEBbvV4cUXMYx3X8P2cOXOqRIkS2r17d7zv8bg+h9xhVEd8f4cjIyO1e/dulShRwuF2IPFJ6HE+c+aMJOdDF40k5D0Ql4iICF26dMlhn5UtW1ZXr17VsGHDtGfPHt2/7/6X/OT8GxIf69/3+P7WJuRaIr7j7c777ejRo7p586bq1asXZzBbt25deXh4aOfOnQ7LypUrp4YNG2rKlCmJ6gWdI0cOlShRQgcPHrT7jDHSrl07HTp0SKdOnZIUPSJlw4YNateuneF68e0/d65x3b2WcPV6XIoest2/f38FBAQoMDAwzjoTc03pTntic/Z5V7JkSXl5eemzzz7T8uXLbfcjTi4PTq6SJex2ouqwPLilByeMw34AwJPhiQwRvb295ePjE+8f3W+//VaZMmXSl19+qWbNmqlChQrq16+fli1b5vQP/5w5c1SiRAmHH+t98qwWL16sqKgo2wVY27ZtZTKZHP73uWXLlurYsaN27dql3r17q2LFimrWrJm++OIL20VFbNWrV3d4/SZNmtiWV6hQQYMGDdKxY8c0YMAAValSRfXr19dHH32kY8eOxbvvLly4IF9fX8N7GVpvrh2718W3337r0DajCzYpuldDhQoVNGvWLHXo0EHlypXTiy++qMmTJ+vu3buG6168eFFSdO/TmGJfzMV1MZotWzZ1795dK1asiHffuHpMHyZrKHH37l3t2LFDEyZMUKVKlRwugNeuXavbt2/b2t6sWTN5e3sbtt3VfTNixAgVLFhQ48aNU6tWrVS+fHn16NFDs2fPdrunqvU4JvRi2Xo+Gj3kIqlYXyvmEK3Y4nqfSO6de3F54403bO+z6tWra9SoUerXr5/dkDQpejhf06ZN9d1338nLy0sff/xxvHXfuHFD9+/fd3hvSdEhTXxfkqzn5q1bt7RmzRrNmzdPLVq0UIkSJWxlXDlezvZh5cqVdfr0adt5smfPHpUsWVLe3t6qVKmSfv/9d9uX1aCgIJnNZqf3IHOVs8+1EiVKOL2fmpEOHTo41GH9ku/qe/TixYtJfn7fuHFD9+7di7fe3Llz6969ew4Bh6ufQ0ZcOV+stm3b5vR4TJgwwa3tie3kyZNO6/3www/jbO/9+/e1b98+ffXVVzKbzWratKlbr5nQ94Bk/3fuwoULGjFihEJCQjR06FC7cr169VKDBg20cuVKde3aVeXLl1ebNm00atQoBQcHu9TO5PwbEh/rwzDi+7vg7rWEK8fbnfeb9XrEqHy6dOnk6+trKxvbkCFDdPfu3TgfxOeqZ599VmFhYbp586ZL5atUqaLcuXPbjueKFStkNpvtri1jCw0Ndbr/Yt4X0J1rXHevJeL7HIjtxRdftN0HM65gLzHXlK5+P5Bc+7zLnTu3Pv74Y125ckVvvvmmatasqRo1aujtt9827CCRUPd+nRP9FObEMHno3q+zk6ZBAIBH2mN9T0QjrvzvX+nSpbV+/Xrt3r1b+/bt02+//abAwEBt2bJFa9eu1YQJE+z+R7lp06ZOn9IZM0iwWCxasmSJcubMqerVq9uW+/v7a/369Ro+fLjtvkQmk0mffPKJXnnlFW3btk2//fab9u3bp+nTp2v+/PmaPHmyw42Tp0+f7nDj6Nj3JBswYIA6duyobdu26fDhwzp48KDmzZunRYsW6auvvnJ4+Im7rPs29v+2d+vWza4XlCSnQz1j8vHx0Zw5c3TkyBEFBgbqt99+0549ezRy5Ehbm93t3bFp0yYNGDDA9ru3t7cOHjzotGyfPn00f/58ffvtt/rxxx+dlnHnmD5MscOiQoUK6YcffnAYzrV48WKlSZPGdg+5dOnSqUmTJlqyZIlOnz4dZ48hV/ZN3rx59csvv2j//v0KCgrSb7/9pr179yowMFCLFy/W3Llznd4zz5lHaWh4UojrfWLlyv41MmzYMFsPu9u3byswMFBTpkxRWFiYww3nrffh6tq1q9vvp9heeOEFu1DA2dOLre8Tq0qVKjl9+qerYu7DypUra8aMGdqzZ49atGihoKAg1alTR5JsYeHevXtVt25dW8CYmPens881SVq+fLlbQw+/+uorFSpUyG6e9b2a0PfowxTX+ezq55ARd86XChUqOH3adWIfcpU3b1599913DvOdvV/eeOMNu99z586tMWPGJMmtEuISe79bQ5SYRowYYXsvWKVKlUrjx4/XqVOntGPHDttn9MSJEzVv3jzNnTvX4YE/sSXn35D4uPp3wd1rCXeOd1KyWCxx/k0oWLCg2rVrp59//lldu3Z1+p84rr6GO0wmk9q0aaO5c+dq6NChWrx4sZo2bRrnEHgpeuj0zz//7DA/5metO9e47l5LuPs5kCpVKr3++usaOnSo1qxZo2bNmrm8f1y5pnTl+4GVq5937dq1U+PGjbVt2zYdOnRIhw8f1vLly/XLL79o2LBhTh+eExYWprCwMLt56dOnV3x3LYgMOZ3wocxWlihFhpyJ97WAh81kkkaOWK0eA2umdFMAt5lM0trlv6tS9bg7rrhaT1J6IkPE0NBQhYSEqGjRovGW9fLyUs2aNVWzZvQHy40bNzRo0CBt2bJF27dvt7sxta+vb7wPXbDejLpnz552QzeaNm2qoKAgrVy50uGJqLly5VKnTp1sv1tvzP311187/E+/n5+fSxe5WbNmVdu2bW03ZN67d6/69Omjzz77zDBEfPbZZxUYGKjQ0NA4eyNa73EUe6jYM88849JDKZwpVaqUbd3w8HB9++23mj59un788Ue99ZbzGzVbL7AvXLhg9yXI39/ftt/Gjx9vN/QxtvTp06t///76/PPPtXv3bqdlEnJMHwZrKHH37l2tXr1a8+fP15AhQ+y+rFmHXDdq1EgWi0W3bt2SJNsXwMWLFzv0XLFyZd9Isj351noPodDQUL3//vtavXq1Fi1apM6dO7u0PdaeNtbhs9YQIq6epNb51qcZWs+HuHrxJiXra509e9YhGLKK631i5er+jUuePHns3m/VqlXTzZs3NW3aNLVr186uXdb7wrn65GsfHx+lSZPGaS/KkSNH6t69e7p69arDQySsrP/ZcfPmTS1YsEDr1q3Tp59+aveQmZjHK64Qw3osY+5Df39/eXh4KCgoSNWrV9fJkydtD05Inz69ihcvrj179sjPz0/nzp1z68uiM3F9rjkbpm6kUKFCTutx5z2aM2fOJD+/fXx8lDZt2njrPX/+vNKmTevwxGVXPofi48r5YpUhQwbDvzOubk9sqVOndvnvlzXAN5vN8vHxcXvYtFVC3wPSfyFKVFSUTp8+rdGjR+vTTz9V4cKFnd5fsVChQrbPBIvFohkzZuiLL77Q6NGjDYccP4y/IUasn6Ou3lbB1WsJV463O+836/ExKh8aGqobN26oePHicZYZOHCgli9frtGjR+urr75y6bVju3DhglKlSuXy09Gl6NEV48eP18SJE3X06FF98MEHhuU9PDxcfr+4eo3rzrVEfJ8DzjRv3lw//fSTRo0apYYNGzosT8w1pSvfD6zc/bxr0aKF7br95MmT6tmzp77//nt16NDB7gE9UvT9YMeNG2f7PV26dDpw4ICyZHG8p2dM1yLuKSn+G9cUcU9Zsxq/FvCwjRwRPcx++rgdGvpR4q4JgYdt7fLfJUl7d55Vk+efS+HW/OeJDBG3bt2qyMhIh158rvDx8VH37t21Z88enThxwqWn28VkvdCYNm2apk2b5nR5fIFTs2bNNHnyZJ08edKt1zZSqVIlVa9eXRs3btT169fjvNF1tWrVFBAQoC1bttg9/dTKYrFo8+bNypw5s9OhZknBy8tLAwcO1PTp0w33QbVq1fTdd99p8+bNqlGjhm1+xowZbRdzmTNnjvf1XnrpJc2cOVPffvutXnrpJYflSXFMk0PMUKJKlSqKiorSwoULtXbtWtswpMWLF8tisWjdunVat26dQx1Lly7V66+/LrPZ7PQ14ts3znh7e+uVV17R6tWrXT6HLRaLtmzZIm9vb9s2+fj4yGw2xzmM7fLlyzKbzbZjXLlyZXl5eWnjxo0utzWhqlWrpvnz52vTpk1xhoibNm2Sp6en4edQQvavET8/P1ksFh0/fjzOdrnCbDarSpUq2rlzp65cuWL3Bd76ZGujL8sx/7OjevXq6tWrlxYsWKB27dqpdOnSkv57/27cuFG1atVyWs+mTZtsZa0yZMhgCwr37NkjDw8PlS9f3rbc399fQUFBtv9EetQfquLOe7RmzZqaNWuWDh06lGT3RTSbzapcubJ27NihS5cuOb0v4qVLl3T06FHVqlXL4bPClc+h+LhyvrizPVWqVDHcnsSKHeAnVELfA5J9iFKmTBmVKVNGrVq10ogRI/TLL78YPnjBZDKpR48eGj9+fLyf0SnxNySmzZs3S1KCrudcvZaIizvvtxIlSihTpkzavHmzhg4d6rS34ebNmxUVFeXQEy2m7Nmzq3v37po8ebJ69uzpdpsvX76so0ePqlKlSm71Bs6ZM6eqVaum8ePHq0CBAnafqUnN1WvchFxLGDGZTBo2bJh69uzp9InTSXVNGZ/EfN4VKVJEzZo104wZM3T69GmH8q+88orT8+b69dsy6qBq8UwrhRnfQsgVFs+0unYtcfdWBJJaj4E1NX3cDvUYWJPzE4+dStXzaO/Os6pUPU+izl+TSfH+h5I7nrh7Il64cEFff/21MmTIYBjshIeHx/nQkb/++kuS6//zbXXz5k1t2LBB5cuX18yZMx1+WrZsqSNHjujEiROS4r7Hz927d3Xx4sUEPdDg2rVrTm8EHxkZqTNnziht2rROnzJo1b59e2XJkkUjR450+mTMKVOm6K+//lKvXr1c7tVkJK59YL3Bt9E+KFWqlGrUqKEFCxYk6h4x1mEuR44ccbhRvLvHNCW9+eabypQpk8aMGaOoqChFRkZq6dKlyps3r9O2v/zyy7p69aq2b98eZ51G+0ZK3PGLady4cfrzzz/VrVs325Cl1KlTq3z58tq8ebPDE5sfPHigzZs3q0KFCrby2bJlU7t27RQQEKBly5Y5fZ1//vknUffnsmrYsKEKFy6syZMn6++//3ZYvnr1agUEBKhdu3ZxPl1Rin//usu6bXH9J4E7+vbtq8jISH300UeJehK7yWTS8OHDHR6yYH3/Ll68WPv373dYb9++fVq8eLFq1qxpe3qllfW+iCtXrlSJEiXshtBVqlRJf/zxhzZu3CgvL69k/TKcWO6+R7t37y5vb2+NGDFCt287XkhYLBZt2LDB7Xb07dtXFotFH3/8sUPP38jISH388ceyWCzq27dvvHXF/hxyV1znizteeeUVWSwWffDBBw5D+6Tov//WcColJeY9EFv+/PnVu3dvnThxwu5Jxkb/CXPnzh3Dz+iH8TfEyLFjxzRp0iTlypUr3vtNJtXfopjceb+lSpVKvXr10qlTp5z2wr1+/bq+++47Zc2aVe3btzd83T59+ihTpkwaOXKkW+29f/++3n//fUVERDgd6hqfnj17qm7dunr11VfdXtcZd65xk+P4OVOtWjVVr15d48ePd7hXZlJdU7ojrs+7GzduOP3skoy/o6RKlUrp06e3+5Eki8X4x5w5f5LcE9GcOV+8r8UPPynxM/SjZineBn74SehPk+efS5J6ktJj3RPx5MmTtpv8BwcHa9++fVqyZInMZrPGjRtnOOz39u3bql+/vpo0aaKqVasqZ86cCg0NVVBQkGbOnKlChQqpUaNGdutcu3ZNhw4dcqgrffr0Kly4sFasWKEHDx6oa9euTnu/ZM6cWStWrNCiRYv03nvvaeLEiTpw4ICaNWumYsWKKU2aNDp37px+/vlnhYSEOB3Ge/ToUachYOHChZU+fXr98ssvmj9/vlq0aKFSpUopQ4YMunTpkhYuXKiTJ09qwIABtqGNzmTMmFFjx45Vv3799MILL6hXr14qVqyY7ty5o9WrV2vFihVq1qxZgi5QnenVq5eeeeYZ1a1bVwULFpTFYtEff/yhn376Sd7e3urWrZvh+t9884169eqlHj166IUXXlCNGjXk6+uru3fv6vjx49q1a5fhfX2s/s/efUdHVe1/H/+cNEpCaEE6ggRCl4B0RESQIigQuhQBQSlWEMH78yqieBHUqxQRAekKJvQqRaRKUZp06U0g9BJIO88fPDOXYSaTSc4kBHy/1pq1knN2mzM7JzPf2aVp06aaOHGi04ehlL6mNgcOHHD5gal8+fL2heK9LXv27OrZs6eGDx+uBQsWKDg4WOfOnVP//v1dtr1EiRKaNm2aIiMjk9yNW0r62tjOVa9eXXXq1FGRIkV0+/Zt7dixQ99//71CQkKcdne8evWq/W8oJiZGhw8f1uLFi7V161Y1btxYr732mkP6fv36qXPnzmrbtq26dOmi/Pnz68yZM5o8ebKio6Od1rQaNGiQTpw4oYEDB2rt2rVq0KCBQkJCdOnSJa1fv16zZ8/WF198YXntMl9fX3399dfq1q2b2rVrp65du6pixYqKjY3VL7/8olmzZqlq1aoaOHBgsmW5u77uHDt2zH4tr127pg0bNigyMlLlypVzOZ0xpSpXrqx///vf+vjjj9WyZUu1adNGoaGh8vHx0fnz5/Xzzz9LkkfrDRYtWlRt2rTRjBkztHXrVnv7hg0bpq5du6p79+7q1KmTatSoIenOEgJTpkzRY4895nKtqOrVq2vixIlavny5w0L+kuxlr1y5UuHh4W43ibrf1qxZk6K/0cKFC+uLL77QW2+9pRdeeEEdO3a0T408dOiQfdSYq6l67lSuXFnvvfeehg4dqg4dOujFF19UgQIFdPr0ac2YMUM7duzQe++951FA9t770AsvvJCitkhJ9xfJ8R5yt4CAAJUpc2eaR3h4uD788EMNHjxYERERateunUqUKKH4+Hjt2bNHs2bNUokSJRw2f7l165bLciV5dTfse6X2b8CVbt266ccff9SoUaPUuHFj+fr66t///reuXr2qZ599ViVLlpSPj48OHz6syZMny8fHRz169EiyvJT2z6R4co+zvbeJj4/XuXPntHHjRs2bN0+5c+fW2LFj3b5vkVL+XsKT1zulf289evTQvn37NGLECO3bt09NmjRRtmzZtH//fk2YMEE3btzQ2LFj3X6RK92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",
      "text/plain": [
       "<Figure size 500x1200 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pathway_label = '{} Annotations'.format(pathwaydb)\n",
    "fig_filename = output_folder + '/GSEA-Dotplot.pdf'\n",
    "\n",
    "with sns.axes_style(\"darkgrid\"):\n",
    "    dotplot = c2c.plotting.pval_plot.generate_dot_plot(pval_df=pvals,\n",
    "                                                      score_df=scores,\n",
    "                                                      significance=0.05,\n",
    "                                                      xlabel='',\n",
    "                                                      ylabel='{} Annotations'.format(pathwaydb),\n",
    "                                                      cbar_title='NES',\n",
    "                                                      cmap='PuOr',\n",
    "                                                      figsize=(5, 12),\n",
    "                                                      label_size=20,\n",
    "                                                      title_size=20,\n",
    "                                                      tick_size=12,\n",
    "                                                      filename=fig_filename\n",
    "                                                      )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91f39d59",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Footprint Enrichment\n",
    "\n",
    "Footprint enrichment analysis build upon classic geneset enrichment analysis, as instead of considering the genes involved in a biological activity, they consider the genes affected by the activity, or in other words the genes that change downstream of said activity [(Dugourd and Saez-Rodriguez, 2019)](https://www.sciencedirect.com/science/article/pii/S2452310019300149).\n",
    "\n",
    "In this case, we will use the PROGENy pathway resource to perform footprint enrichment analysis. PROGENy was built in a data-driven manner using perturbation and cancer lineage data [(Schubert et al, 2019)](https://www.nature.com/articles/s41467-017-02391-6#Sec8), as a consequence it also assigns different importances or weights to each gene in its pathway genesets. To this end, we need an enrichment method that can take weights into account, and here we will use multi-variate linear models from the `decoupler-py` package to perform this analysis [(Badia-i-Mompel et al., 2022)](https://academic.oup.com/bioinformaticsadvances/article/2/1/vbac016/6544613)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22044dad",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Let’s load the PROGENy genesets and then convert them to sets of weighted ligand-receptor pairs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "40660a28",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# We first load the PROGENy gene sets\n",
    "net = dc.get_progeny(organism='human', top=5000)\n",
    "\n",
    "# Then convert them to sets with weighed ligand-receptor pairs\n",
    "lr_progeny = li.rs.generate_lr_geneset(lr_pairs, net, lr_sep=\"^\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57534f3e",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Next, we can run the footprint enrichment analysis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "e5f1c89a",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "estimate, pvals =  dc.run_mlm(lr_loadings.transpose(),\n",
    "                              lr_progeny,\n",
    "                              source=\"source\",\n",
    "                              target=\"interaction\",\n",
    "                              use_raw=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fde379b8",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Finally, we can visualize the results:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "2b788a50",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_filename = output_folder + '/PROGENy.pdf'\n",
    "_ = sns.clustermap(estimate, xticklabels=estimate.columns, cmap='coolwarm', z_score=4)\n",
    "\n",
    "t = _.ax_heatmap.set_xticklabels(_.ax_heatmap.get_xmajorticklabels(), fontsize = 16)\n",
    "t = _.ax_heatmap.set_yticklabels(_.ax_heatmap.get_ymajorticklabels(), fontsize = 16, rotation=0)\n",
    "\n",
    "plt.savefig(fig_filename, dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3424a7f",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Let's zoom in on **Factor 5**, which was most associated with Interferon-beta stimulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "e4698196",
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "selected_factor = 'Factor 5'\n",
    "fig_filename = output_folder + '/PROGENy-{}.pdf'.format(selected_factor.replace(' ', '-'))\n",
    "\n",
    "dc.plot_barplot(estimate,\n",
    "                selected_factor,\n",
    "                vertical=True,\n",
    "                cmap='coolwarm',\n",
    "                save=fig_filename)"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "gpuType": "T4",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}