{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ee0d797b",
   "metadata": {},
   "source": [
    "# Tissue-specific proteoform inference across five mouse organs\n",
    "\n",
    "This notebook shows how to use ProteoPy for proteoform group inference following a previously established approach that we published in Bludau et al. (2021):\n",
    "\n",
    "> Bludau I, Frank M, Dörig C, Cai Y, Heusel M, Rosenberger G, Picotti P, Collins BC, Röst H, and Aebersold R. **Systematic detection of functional proteoform groups from bottom-up proteomic datasets.** *Nature Communications*, 12:3810, 2021. [doi:10.1038/s41467-021-24030-x](https://doi.org/10.1038/s41467-021-24030-x)\n",
    "\n",
    "In this paper, we introduced COPF (COrrelation-based functional ProteoForm assessment), a data-driven strategy that assigns peptides to co-varying proteoform groups based on peptide correlation patterns. It was applied to SWATH-MS (DIA) data from five mouse tissues (brain, brown adipose tissue, heart, liver, and quadriceps) across eight BXD mice, originally published by Williams et al. (2018):\n",
    "\n",
    "> Williams EG, Wu Y, Wolski W, Kim JY, Lan J, Hasan M, Halter C, Jha P, Ryu D, Auwerx J, and Aebersold R. **Quantifying and Localizing the Mitochondrial Proteome Across Five Tissues in A Mouse Population.** *Molecular & Cellular Proteomics*, 17(9):1766–1777, 2018. [doi:10.1074/mcp.RA118.000554](https://doi.org/10.1074/mcp.RA118.000554)\n",
    "\n",
    "In this notebook, we show how the COPF implementation in ProteoPy can be used to perform the core proteoform inference workflow."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "nqku72pdj79",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2bafc259",
   "metadata": {},
   "source": [
    "import random\n",
    "from pathlib import Path\n",
    "import numpy as np\n",
    "import scanpy as sc\n",
    "import matplotlib as mpl\n",
    "from matplotlib.pyplot import rc_context\n",
    "\n",
    "import proteopy as pr  # Convention: import proteopy as pr\n",
    "from proteopy.utils import is_proteodata\n",
    "\n",
    "# Set random seed for reproducibility\n",
    "random.seed(42)\n",
    "\n",
    "# Create a data directory in your current working directory \n",
    "# to store files downloaded in this notebook.\n",
    "cwd = Path(\".\").resolve()\n",
    "(cwd / 'data').mkdir(parents=True, exist_ok=True)"
   ],
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "id": "03c559b7",
   "metadata": {},
   "source": [
    "## Reading in the data\n",
    "\n",
    "The Williams et al. (2018) dataset contains peptide-level SWATH-MS intensities from five tissues of eight BXD mice. ProteoPy provides a built-in download function (`pr.download.williams_2018()`) that fetches the dataset from the original supplementary archive, processes it, and saves it as three separate files:\n",
    "\n",
    "- **Intensities** — long-format table with columns `sample_id`, `peptide_id`, and `intensity` (one row per measurement)\n",
    "- **Sample annotation** — maps each `sample_id` to its `tissue` and `mouse_id`\n",
    "- **Peptide annotation** — maps each `peptide_id` to its `protein_id` and `gene_id`\n",
    "\n",
    "This separation into three files mirrors a common data delivery format in proteomics. The files are then read into an AnnData object using `pr.read.long()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d68b55d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define paths to the data files. These are the same paths that will be used in the download function below.\n",
    "intensities_path = \"data/williams-2018_mouse-tissue_intensities.tsv\"\n",
    "sample_annotation_path = \"data/williams-2018_mouse-tissue_sample_annotation.tsv\"\n",
    "peptide_annotation_path = \"data/williams-2018_mouse-tissue_peptide_annotation.tsv\"\n",
    "\n",
    "pr.download.williams_2018(\n",
    "    intensities_path=intensities_path,\n",
    "    sample_annotation_path=sample_annotation_path,\n",
    "    var_annotation_path=peptide_annotation_path,\n",
    "    force=True,  # Overwrite files if already exist\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "jszc7mlblu9",
   "metadata": {},
   "source": [
    "A quick look at the first rows of each file shows the data format ProteoPy expects for each information layer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0ede6e75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample_id\tpeptide_id\tintensity\n",
      "C57_Brain\tAAAAAAAAAAAAAAAGAAGK\t26302.0\n",
      "DBA_Brain\tAAAAAAAAAAAAAAAGAAGK\t15460.0\n",
      "45_Brain\tAAAAAAAAAAAAAAAGAAGK\t24631.0\n",
      "66_Brain\tAAAAAAAAAAAAAAAGAAGK\t26554.0\n"
     ]
    }
   ],
   "source": [
    "# intensities\n",
    "!head -n5 {intensities_path}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cfbf3627",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample_id\ttissue\tmouse_id\n",
      "C57_Brain\tBrain\tC57\n",
      "DBA_Brain\tBrain\tDBA\n",
      "45_Brain\tBrain\t45\n",
      "66_Brain\tBrain\t66\n"
     ]
    }
   ],
   "source": [
    "# sample_annotation\n",
    "!head -n5 {sample_annotation_path}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b6d872a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "peptide_id\tprotein_id\tgene_id\n",
      "AAAAAAAAAAAAAAAGAAGK\tP55012\tSlc12a2\n",
      "AAAAADLANR\tQ9JHS4\tClpx\n",
      "AAAADGEPLHNEEER\tQ80WW9\tDdrgk1\n",
      "AAAAEGARPLER\tQ80UM7\tMogs\n"
     ]
    }
   ],
   "source": [
    "# var_annotation\n",
    "!head -n5 {peptide_annotation_path}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sa0gtgqxej",
   "metadata": {},
   "source": [
    "With the three files on disk, `pr.read.long()` reads the long-format intensities, pivots them into a dense matrix, and merges the sample and peptide annotations into a single AnnData object. Setting `fill_na=0` replaces any missing intensity values with zero."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "981576e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 40 × 32690\n",
       "    obs: 'sample_id', 'tissue', 'mouse_id'\n",
       "    var: 'peptide_id', 'protein_id', 'protein_id_annotation', 'gene_id'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a peptide level AnnData object from the \n",
    "# downloaded data files and fill missing values with 0.\n",
    "adata = pr.read.long(\n",
    "    intensities=intensities_path,\n",
    "    sample_annotation=sample_annotation_path,\n",
    "    var_annotation=peptide_annotation_path,\n",
    "    level=\"peptide\",\n",
    "    fill_na=0,\n",
    ")\n",
    "\n",
    "adata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "795e2296",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Is proteodata:  (True, 'peptide')\n"
     ]
    }
   ],
   "source": [
    "print(\"Is proteodata: \", is_proteodata(adata))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "95d976af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "sample_id",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "tissue",
         "rawType": "category",
         "type": "unknown"
        },
        {
         "name": "mouse_id",
         "rawType": "category",
         "type": "unknown"
        }
       ],
       "ref": "78188e38-2375-442f-a191-7ba1ab5f992a",
       "rows": [
        [
         "101_Brain",
         "101_Brain",
         "Brain",
         "101"
        ],
        [
         "45_Brain",
         "45_Brain",
         "Brain",
         "45"
        ],
        [
         "66_Brain",
         "66_Brain",
         "Brain",
         "66"
        ],
        [
         "68_Brain",
         "68_Brain",
         "Brain",
         "68"
        ],
        [
         "73_Brain",
         "73_Brain",
         "Brain",
         "73"
        ],
        [
         "80_Brain",
         "80_Brain",
         "Brain",
         "80"
        ],
        [
         "BAT_101",
         "BAT_101",
         "BAT",
         "101"
        ],
        [
         "BAT_45",
         "BAT_45",
         "BAT",
         "45"
        ],
        [
         "BAT_66",
         "BAT_66",
         "BAT",
         "66"
        ],
        [
         "BAT_68",
         "BAT_68",
         "BAT",
         "68"
        ]
       ],
       "shape": {
        "columns": 3,
        "rows": 10
       }
      },
      "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>sample_id</th>\n",
       "      <th>tissue</th>\n",
       "      <th>mouse_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>101_Brain</th>\n",
       "      <td>101_Brain</td>\n",
       "      <td>Brain</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45_Brain</th>\n",
       "      <td>45_Brain</td>\n",
       "      <td>Brain</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66_Brain</th>\n",
       "      <td>66_Brain</td>\n",
       "      <td>Brain</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68_Brain</th>\n",
       "      <td>68_Brain</td>\n",
       "      <td>Brain</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73_Brain</th>\n",
       "      <td>73_Brain</td>\n",
       "      <td>Brain</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80_Brain</th>\n",
       "      <td>80_Brain</td>\n",
       "      <td>Brain</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAT_101</th>\n",
       "      <td>BAT_101</td>\n",
       "      <td>BAT</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAT_45</th>\n",
       "      <td>BAT_45</td>\n",
       "      <td>BAT</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAT_66</th>\n",
       "      <td>BAT_66</td>\n",
       "      <td>BAT</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAT_68</th>\n",
       "      <td>BAT_68</td>\n",
       "      <td>BAT</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           sample_id tissue mouse_id\n",
       "101_Brain  101_Brain  Brain      101\n",
       "45_Brain    45_Brain  Brain       45\n",
       "66_Brain    66_Brain  Brain       66\n",
       "68_Brain    68_Brain  Brain       68\n",
       "73_Brain    73_Brain  Brain       73\n",
       "80_Brain    80_Brain  Brain       80\n",
       "BAT_101      BAT_101    BAT      101\n",
       "BAT_45        BAT_45    BAT       45\n",
       "BAT_66        BAT_66    BAT       66\n",
       "BAT_68        BAT_68    BAT       68"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs.head(n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "72b2377c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "peptide_id",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "protein_id",
         "rawType": "category",
         "type": "unknown"
        },
        {
         "name": "protein_id_annotation",
         "rawType": "category",
         "type": "unknown"
        },
        {
         "name": "gene_id",
         "rawType": "category",
         "type": "unknown"
        }
       ],
       "ref": "04976f23-9300-4544-9828-b994547316f3",
       "rows": [
        [
         "AAAAAAAAAAAAAAAGAAGK",
         "AAAAAAAAAAAAAAAGAAGK",
         "P55012",
         "P55012",
         "Slc12a2"
        ],
        [
         "AAAAADLANR",
         "AAAAADLANR",
         "Q9JHS4",
         "Q9JHS4",
         "Clpx"
        ],
        [
         "AAAADGEPLHNEEER",
         "AAAADGEPLHNEEER",
         "Q80WW9",
         "Q80WW9",
         "Ddrgk1"
        ],
        [
         "AAAAEGARPLER",
         "AAAAEGARPLER",
         "Q80UM7",
         "Q80UM7",
         "Mogs"
        ],
        [
         "AAAAKEEAPK",
         "AAAAKEEAPK",
         "Q91XV3",
         "Q91XV3",
         "Basp1"
        ],
        [
         "AAAANLC(UniMod:4)PGDVILAIDGFGTESMTHADAQDR",
         "AAAANLC(UniMod:4)PGDVILAIDGFGTESMTHADAQDR",
         "O70209",
         "O70209",
         "Pdlim3"
        ],
        [
         "AAAAYALGR",
         "AAAAYALGR",
         "Q6ZQ73",
         "Q6ZQ73",
         "Cand2"
        ],
        [
         "AAADLM(UniMod:35)AYC(UniMod:4)EAHAKEDPLLTPVPASENPFR",
         "AAADLM(UniMod:35)AYC(UniMod:4)EAHAKEDPLLTPVPASENPFR",
         "P63213",
         "P63213",
         "Gng2"
        ],
        [
         "AAADLMAYC(UniMod:4)EAHAK",
         "AAADLMAYC(UniMod:4)EAHAK",
         "P63213",
         "P63213",
         "Gng2"
        ],
        [
         "AAADLMAYC(UniMod:4)EAHAKEDPLLTPVPASENPFR",
         "AAADLMAYC(UniMod:4)EAHAKEDPLLTPVPASENPFR",
         "P63213",
         "P63213",
         "Gng2"
        ]
       ],
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>peptide_id</th>\n",
       "      <th>protein_id</th>\n",
       "      <th>protein_id_annotation</th>\n",
       "      <th>gene_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAAAAAAAAAAAAAAGAAGK</th>\n",
       "      <td>AAAAAAAAAAAAAAAGAAGK</td>\n",
       "      <td>P55012</td>\n",
       "      <td>P55012</td>\n",
       "      <td>Slc12a2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAAADLANR</th>\n",
       "      <td>AAAAADLANR</td>\n",
       "      <td>Q9JHS4</td>\n",
       "      <td>Q9JHS4</td>\n",
       "      <td>Clpx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAADGEPLHNEEER</th>\n",
       "      <td>AAAADGEPLHNEEER</td>\n",
       "      <td>Q80WW9</td>\n",
       "      <td>Q80WW9</td>\n",
       "      <td>Ddrgk1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAAEGARPLER</th>\n",
       "      <td>AAAAEGARPLER</td>\n",
       "      <td>Q80UM7</td>\n",
       "      <td>Q80UM7</td>\n",
       "      <td>Mogs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAAKEEAPK</th>\n",
       "      <td>AAAAKEEAPK</td>\n",
       "      <td>Q91XV3</td>\n",
       "      <td>Q91XV3</td>\n",
       "      <td>Basp1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAANLC(UniMod:4)PGDVILAIDGFGTESMTHADAQDR</th>\n",
       "      <td>AAAANLC(UniMod:4)PGDVILAIDGFGTESMTHADAQDR</td>\n",
       "      <td>O70209</td>\n",
       "      <td>O70209</td>\n",
       "      <td>Pdlim3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAAYALGR</th>\n",
       "      <td>AAAAYALGR</td>\n",
       "      <td>Q6ZQ73</td>\n",
       "      <td>Q6ZQ73</td>\n",
       "      <td>Cand2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAADLM(UniMod:35)AYC(UniMod:4)EAHAKEDPLLTPVPASENPFR</th>\n",
       "      <td>AAADLM(UniMod:35)AYC(UniMod:4)EAHAKEDPLLTPVPAS...</td>\n",
       "      <td>P63213</td>\n",
       "      <td>P63213</td>\n",
       "      <td>Gng2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAADLMAYC(UniMod:4)EAHAK</th>\n",
       "      <td>AAADLMAYC(UniMod:4)EAHAK</td>\n",
       "      <td>P63213</td>\n",
       "      <td>P63213</td>\n",
       "      <td>Gng2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAADLMAYC(UniMod:4)EAHAKEDPLLTPVPASENPFR</th>\n",
       "      <td>AAADLMAYC(UniMod:4)EAHAKEDPLLTPVPASENPFR</td>\n",
       "      <td>P63213</td>\n",
       "      <td>P63213</td>\n",
       "      <td>Gng2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                           peptide_id  \\\n",
       "AAAAAAAAAAAAAAAGAAGK                                                             AAAAAAAAAAAAAAAGAAGK   \n",
       "AAAAADLANR                                                                                 AAAAADLANR   \n",
       "AAAADGEPLHNEEER                                                                       AAAADGEPLHNEEER   \n",
       "AAAAEGARPLER                                                                             AAAAEGARPLER   \n",
       "AAAAKEEAPK                                                                                 AAAAKEEAPK   \n",
       "AAAANLC(UniMod:4)PGDVILAIDGFGTESMTHADAQDR                   AAAANLC(UniMod:4)PGDVILAIDGFGTESMTHADAQDR   \n",
       "AAAAYALGR                                                                                   AAAAYALGR   \n",
       "AAADLM(UniMod:35)AYC(UniMod:4)EAHAKEDPLLTPVPASE...  AAADLM(UniMod:35)AYC(UniMod:4)EAHAKEDPLLTPVPAS...   \n",
       "AAADLMAYC(UniMod:4)EAHAK                                                     AAADLMAYC(UniMod:4)EAHAK   \n",
       "AAADLMAYC(UniMod:4)EAHAKEDPLLTPVPASENPFR                     AAADLMAYC(UniMod:4)EAHAKEDPLLTPVPASENPFR   \n",
       "\n",
       "                                                   protein_id  \\\n",
       "AAAAAAAAAAAAAAAGAAGK                                   P55012   \n",
       "AAAAADLANR                                             Q9JHS4   \n",
       "AAAADGEPLHNEEER                                        Q80WW9   \n",
       "AAAAEGARPLER                                           Q80UM7   \n",
       "AAAAKEEAPK                                             Q91XV3   \n",
       "AAAANLC(UniMod:4)PGDVILAIDGFGTESMTHADAQDR              O70209   \n",
       "AAAAYALGR                                              Q6ZQ73   \n",
       "AAADLM(UniMod:35)AYC(UniMod:4)EAHAKEDPLLTPVPASE...     P63213   \n",
       "AAADLMAYC(UniMod:4)EAHAK                               P63213   \n",
       "AAADLMAYC(UniMod:4)EAHAKEDPLLTPVPASENPFR               P63213   \n",
       "\n",
       "                                                   protein_id_annotation  \\\n",
       "AAAAAAAAAAAAAAAGAAGK                                              P55012   \n",
       "AAAAADLANR                                                        Q9JHS4   \n",
       "AAAADGEPLHNEEER                                                   Q80WW9   \n",
       "AAAAEGARPLER                                                      Q80UM7   \n",
       "AAAAKEEAPK                                                        Q91XV3   \n",
       "AAAANLC(UniMod:4)PGDVILAIDGFGTESMTHADAQDR                         O70209   \n",
       "AAAAYALGR                                                         Q6ZQ73   \n",
       "AAADLM(UniMod:35)AYC(UniMod:4)EAHAKEDPLLTPVPASE...                P63213   \n",
       "AAADLMAYC(UniMod:4)EAHAK                                          P63213   \n",
       "AAADLMAYC(UniMod:4)EAHAKEDPLLTPVPASENPFR                          P63213   \n",
       "\n",
       "                                                    gene_id  \n",
       "AAAAAAAAAAAAAAAGAAGK                                Slc12a2  \n",
       "AAAAADLANR                                             Clpx  \n",
       "AAAADGEPLHNEEER                                      Ddrgk1  \n",
       "AAAAEGARPLER                                           Mogs  \n",
       "AAAAKEEAPK                                            Basp1  \n",
       "AAAANLC(UniMod:4)PGDVILAIDGFGTESMTHADAQDR            Pdlim3  \n",
       "AAAAYALGR                                             Cand2  \n",
       "AAADLM(UniMod:35)AYC(UniMod:4)EAHAKEDPLLTPVPASE...     Gng2  \n",
       "AAADLMAYC(UniMod:4)EAHAK                               Gng2  \n",
       "AAADLMAYC(UniMod:4)EAHAKEDPLLTPVPASENPFR               Gng2  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.var.head(n=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4da2630a",
   "metadata": {},
   "source": [
    "You can define consistent color schemes and category orders for the different tissues and BXD mice used for all figures created by ProteoPy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "76254f75",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Tissues\n",
    "n_tissues = adata.obs[\"tissue\"].nunique()\n",
    "cmap = mpl.colormaps[\"Set2\"]\n",
    "adata.uns[\"colors_tissue\"] = cmap(range(n_tissues)).tolist()\n",
    "\n",
    "adata.uns[\"order_tissue\"] = [\"Brain\", \"BAT\", \"Heart\", \"Liver\", \"Quad\"]\n",
    "\n",
    "# BXD mice\n",
    "n_mice = adata.obs[\"mouse_id\"].nunique()\n",
    "cmap = mpl.colormaps[\"tab10\"]\n",
    "adata.uns[\"colors_mouse_id\"] = cmap(range(n_mice)).tolist()\n",
    "\n",
    "adata.uns[\"order_mouse_id\"] = sorted(adata.obs[\"mouse_id\"].unique().tolist())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0808aed4",
   "metadata": {},
   "source": [
    "Looking at the sample distribution shows successful data import in agreement with the study design. The dataset includes 5 tissues derived from 8 BXD mice:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f33d3172",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OcQIAAMivKE4AAAAOUZwAAAAcojgBAAA4RHECAABwiOIEAADgEMUJAADAIYoTAACAQxQnAAAAhyhOAAAADlGcAAAAHKI4AQAAOERxAgAAcIjiBAAA4BDFCQAAwCGKEwAAgEMUJwAAAIcoTgAAAA5RnAAAAByiOAEAADhEcQIAAHCI4gQAAOAQxQkAAMAhihMAAIBDFCcAAACHXC1OcXFxatq0qYKCglSuXDl16tRJmzdvdjMSAADABblanBYvXqwBAwboxx9/1JdffqnTp0/rtttuU3p6upuxAAAAchXo5pN//vnnOW5PmzZN5cqV04oVK/S3v/3NpVQAAAC5c7U4/VpqaqokqXTp0rne7/P55PP5/LfT0tLyJBcAAICUjw4Oz8rK0pAhQxQZGal69erluk1cXJxCQkL8S1hYWB6nBAAAhVm+KU4DBgzQunXrNGvWrAtuExsbq9TUVP+SnJychwkBAEBhly+m6gYOHKhPP/1US5YsUaVKlS64ndfrldfrzcNkAAAA/+VqcTIzPfLII/roo4+0aNEiVatWzc04AAAAv8nV4jRgwADNnDlTH3/8sYKCgvTLL79IkkJCQlS8eHE3owEAAJzH1WOc4uPjlZqaqptuukkVKlTwL++9956bsQAAAHLl+lQdAABAQZFvPlUHAACQ31GcAAAAHKI4AQAAOERxAgAAcIjiBAAA4BDFCQAAwCGKEwAAgEMUJwAAAIcoTgAAAA5RnAAAAByiOAEAADhEcQIAAHCI4gQAAOAQxQkAAMAhihMAAIBDFCcAAACHKE4AAAAOUZwAAAAcojgBAAA4RHECAABwiOIEAADgEMUJAADAIYoTAACAQxQnAAAAhyhOAAAADrlanJYsWaIOHTqoYsWK8ng8mjt3rptxAAAAfpOrxSk9PV0NGjTQq6++6mYMAAAARwLdfPK2bduqbdu2bkYAAABwzNXidLF8Pp98Pp//dlpamotpAABAYVOgDg6Pi4tTSEiIfwkLC3M7EgAAKEQKVHGKjY1Vamqqf0lOTnY7EgAAKEQK1FSd1+uV1+t1OwYAACikCtSIEwAAgJtcHXE6fvy4tm7d6r+9Y8cOJSQkqHTp0qpcubKLyQAAAM7nanFavny5Wrdu7b8dExMjSYqOjta0adNcSgUAAJA7V4vTTTfdJDNzMwIAAIBjHOMEAADgEMUJAADAIYoTAACAQxQnAAAAhyhOAAAADlGcAAAAHKI4AQAAOERxAgAAcIjiBAAA4BDFCQAAwCGKEwAAgEMUJwAAAIcoTgAAAA5RnAAAAByiOAEAADhEcQIAAHCI4gQAAOAQxQkAAMAhihMAAIBDFCcAAACHKE4AAAAOUZwAAAAcojgBAAA4RHECAABwiOIEAADgUL4oTq+++qqqVq2qK664Qs2bN9fPP//sdiQAAIDzuF6c3nvvPcXExGjUqFFauXKlGjRooNtvv10HDhxwOxoAAEAOrhenl156SQ899JB69OihOnXqaPLkySpRooTeeustt6MBAADkEOjmk2dkZGjFihWKjY31rytSpIhuueUW/fDDD+dt7/P55PP5/LdTU1MlSWlpaZc/rKSM9BN58jx5Ka/+7/JS5qkMtyNccgF/wf106uRxtyNcFn/F36ljp9LdjnDJlfgL7qcTx0+7HeGSy6vfp+znMbPf39hctGfPHpNkS5cuzbH+scces2bNmp23/ahRo0wSCwsLCwsLC8slX5KTk3+3u7g64nSxYmNjFRMT47+dlZWlI0eOqEyZMvJ4PC4mu3TS0tIUFham5ORkBQcHux0Hv4F9VTCwnwoG9lPB8VfcV2amY8eOqWLFir+7ravFqWzZsgoICND+/ftzrN+/f7/Kly9/3vZer1derzfHupIlS17OiK4JDg7+y/xA/tWxrwoG9lPBwH4qOP5q+yokJMTRdq4eHF6sWDE1btxYCxcu9K/LysrSwoUL1aJFCxeTAQAAnM/1qbqYmBhFR0erSZMmatasmSZMmKD09HT16NHD7WgAAAA5uF6cunXrpoMHD2rkyJH65ZdfdP311+vzzz/X1Vdf7XY0V3i9Xo0aNeq8KUnkP+yrgoH9VDCwnwqOwr6vPGZOPnsHAAAA10+ACQAAUFBQnAAAAByiOAEAADhEcQIAAHCI4gRcAJ+bAFDYZGVluR0h36M4Ab+SmpoqM/vLXMansKDoAn/MqVOn1L9/f+3bt09FihShPP0OihNwjlWrVqlTp05at26d21Hg0JEjRySJopuPZZfakydPupwEufn222+1ePFi9erVS/v376c8/Q6KE/B/EhISdMMNN6hp06aqX7++23FwATt27NBLL70kSXr//ffVp08fHTp0yOVU+C0ej0dvv/222rdvr7S0NLfj4Fdat26tf/3rXzp+/Lj++c9/6sCBA5Sn30BxygPZ77ZSUlKUkpLibhjkavPmzYqKitLYsWP1wgsvuB0HF3DmzBnNnDlTL7/8sh544AF169ZNHTp0UNmyZd2Ohlxkv/alpaVp8uTJat++/V/qorB/BRkZGQoMDNTdd9+tHj166OjRo+rdu7cOHTpEeboAilMe8Hg8mjt3rjp27KimTZvqmWeeYSooH1mzZo1uuOEGpaenKyoqSpKUmZnJMTP5jJkpMDBQffr0UfPmzTVjxgx16dJF0dHRks7uM+QvHo9HX3/9tR555BFde+21euCBB9yOhHOYmYoVKyZJGjhwoObNm6ejR49q3rx5euCBBxh5ugCKUx74+eef1atXL0VFRalr16564403NHbsWC1dutTtaIXe6tWr1aJFC91zzz3q06eP2rZtq4ULFyogIIDilM9k748jR46oQYMGateundavX6/nnntOkhQQEEB5ymfOnDmjtWvXau7cufr2229VunRpSZTc/CL7uMABAwbos88+U2xsrBYuXKi4uDgdOXJE999/vw4ePEh5+jXDZbV9+3YbN26cPffcc/51ixYtsgYNGljXrl3t+++/dzFd4bZ582bzeDw2YsQIMzNLTEy0Bx980EqVKmVfffWVmZllZma6GRG/8sknn5jH47GlS5fajh077KmnnrLw8HAbO3Zsju12797tUkL82i+//GKvvPKKFS1a1IYNG+Zfz+9W/pCammqtWrWyiRMn+tedOXPGpk2bZlWrVrU777zTDh06ZGZmWVlZbsXMVyhOl9CECRPszTffNLOzP3h79+61ihUrWnBwsD322GM5tv3mm28sIiLC7rvvPlu0aJEbcQu9EydO2CuvvJJjHeUp/zpy5IhNnDjRXnzxRf+65ORke+qpp6x27dr27LPPmpnZyJEjrVu3bpaenu5W1EIr+w/r7t27bePGjbZv3z7LysqyzMxMe+mllywoKMieeuop//ZnzpxxKyrOcfPNN1ufPn3OW3/33Xebx+Oxxo0bW0pKigvJ8ieK0yWSnp5u0dHRlpiYmGP97NmzrUKFCnbLLbfY+vXrc9y3aNEiCwsLsx49etiJEyfyMm6hlp6eft6LwOnTp/3/pjzlP+vWrbOAgACrUaOGzZo1K8d9ycnJNnr0aCtbtqzVr1/fQkJC7Oeff3YpaeGVXZo+/PBDCw8Pt/DwcKtRo4b17dvXNm7caCdPnrQJEyZYqVKlbOTIkS6nLZxyex3LzMy0xx57zJo2bWpLly7NUWZHjRpl99xzT47RKFCcLonsF4zsH8offvjBXn31Vf8P4Pvvv2/XXHON9e/f3zZu3Jjjsd9++61t27YtbwMXYlu2bLHw8HB7+OGHbc6cOTnuy608lStXzubPn5/XMfErBw8etH79+lmRIkVs0qRJZpZztOLw4cO2ZMkSGz9+vG3ZssWtmIXe119/bVdddZVNnDjRMjMz7fnnn7eiRYvatGnTzOzsqOGkSZPM4/H4RwiRN879fVm/fr1t3brVP6WdkpJi9erVs5YtW9rHH39s+/fvt127dllkZKS98cYb/scxVXcWxekSysrKstOnT1uXLl2sQYMGNnnyZP8P67vvvmuVKlWyfv362aZNm1xOWnjFx8dbcHCwTZkyxUqVKmW9e/e2f//737lum5iYaPfcc49Vq1bN0tPTedFw2b59++zhhx82r9drX375pZkxEphfZO+HIUOG2EMPPWRmZnv27LFq1arZww8/7N/O5/PZsWPHbPLkybwO5qFzf08efPBBa9CggYWFhdnNN99s8+bNM7OzpTYqKsrq169vZcuWtSpVqlibNm38j+P17788Znx06FI7dOiQBg8erF27dql79+7q06ePAgICNGvWLMXGxioqKkojRoxQzZo13Y5a6KSkpKhhw4aaMGGCGjdurKlTp2r+/Pk6ffq0oqOj1bZtW1WvXt2/fWJiooKCglShQgUXUxcu9n+Xu9m+fbt8Pp9OnDihxo0bS5IOHz6s4cOH65133tG8efN08803KysrS0WK8AFhN9ivLk3Up08fNWnSRF27dlXdunXVvn17TZ482X9KFknq1KkT+8wl9913nxISEvS///u/yszM1NChQ7Vu3Tq99dZbuuuuu3TixAmtWrVK27dvV4kSJXT33XdLEvvr19ztbQVfdgv/9UGOBw8etG7dulnLli1zTNtNnz7d6tata/v27cvzrIVdRkaGmZmNHz/eevTokeMdVMmSJa1y5coWEhJi48aNsw8++MCtmIVa9j6ZO3eu1apVy2rWrGmhoaH26KOPms/nM7Oz03I9e/a0oKAg+/zzz92MCzt7aML27dvNzGzw4MFWvXp1q1y5sj3yyCP+6W+fz2fdu3e32NhY/+8h8tacOXOsZcuWtnPnTjMz//Fmbdu2taCgIPvkk09yfRyjuuejOP0J2S/yX375pQ0ePNjatWtnM2bM8B9jcW55mjx5sv9FJC0tzbXMhU1WVtZ5Q8yLFi2ycuXK2apVq8zMrFevXla+fHlbunSpxcfHW3h4uDVo0MAOHjzI8LQL5s+fb0FBQRYfH2979+616dOnm8fjsb59+9rx48fN7Oy0QteuXa18+fJ8es4lWVlZdubMGatSpYrdf//9Znb2o+033nijlSlTxk6dOmVmZ48dfPLJJ61SpUq2efNmNyMXKr8uPBs3bvSfFic+Pt4qVKhgX3zxhSUmJlrVqlXtyiuvtHfffdeNqAUOU3V/0kcffaT7779f0dHRSk1N1fbt21W1alU99dRTqlu3rn/aLiEhQTExMerVq9d5w9u4PBITE/XKK69oz549ioyM1NChQ/33DR48WIcOHZLP59N3332n+fPnq2HDhpKkrVu3Kjg4WOXKlXMreqF1+PBhDR48WPXr19fw4cOVnJysm266SXXq1NGiRYt09913a9KkSQoODlZKSopOnjzJNKrL3nnnHU2YMEGTJ09W48aNtWDBAg0aNEinTp1S7dq1VaRIES1fvlwLFizw/44h72zcuFE1atRQ0aJFdeLECRUpUkQdO3ZU+/btNWjQIJ0+fVqdO3fW4cOH1aBBA02ePNntyPmfy8WtQFuxYoVVq1bN/6mDo0ePWnBwsFWvXt3uuusu/+kH9u/fbz179rQdO3a4mLZwSUhIsNDQUOvUqZPde++9VrRo0RwHgX/66adWunRpq127tm3YsMHMOPgxPzhx4oS9/vrrtn37djtw4IBFRET4DzZ+6aWXzOPx2H333ecfeULeudDvx4YNG6xOnTr28ssvm9nZKfEDBw7YqFGjLCYmxsaPH29bt27Nw6TINnr0aAsLC7OFCxf6DxdJSkqy0qVL+885uHPnTrvjjjvs22+/dTNqgUJxukjZLx4ZGRn2/fff+08atmPHDrv22mutb9++9vrrr1vp0qWta9eu/ukg5onzzurVq6148eL25JNPmtnZ//uBAwfakCFDcpwvq1OnTnbzzTe7FRMXkF2KXnvtNYuKirK9e/eamdmUKVOsefPmVqVKFc4MnofWrFmT47ikDRs22I8//phjm3//+99WtmxZTgWRzxw/ftyaNm1qTZs2zVGeoqOjrUqVKjZ06FCrXr26denSxf8Y3kD+Pqbq/oBPP/1UycnJuvfee5WamqqwsDDdc889CgkJ0dSpU+XxeNSsWTMlJSXptttu05QpU1SsWDGm5/JAcnKyGjVqpNatW2v27Nn+9ffee682b96sU6dOqVKlSurTp4+Cg4P15JNPaty4cbrllltcTF042f9NWa9cuVJr1qzRyZMnFRUVpXr16kmSYmJi9O2332rZsmWSpOHDh6tChQrq16+fvF6vm9ELBTPTjBkz9MQTT2jjxo0KDg7WgQMHdNttt+nYsWPq0KGD+vXrp2uvvVY+n0/t2rVT586dNWTIEJ05c0aBgYH+r8Nr3+WXmZmpgICA89afOHFCN910kzIzM/Xiiy+qdevWWr16td58801t2LBB9evX18svvyyJfeWYm62tIMlu4QkJCeb1eu3tt9/2t/dDhw5Z3bp17e233zazswdI3nfffRYXF2d79uxxLXNhtGPHDmvatKl17NjRvvvuOzMzi4uLsxIlStiYMWPsjTfesFq1alnt2rVt3rx5VqFCBYuJieFdlkvmzJljFStWtFatWlmbNm3M4/HYjBkzzMxsyZIlVrRoUbvjjjusffv2FhISYmvXrnU5ceGT/SmsX375xczOnjzxgw8+sCpVqlhkZKR1797dDhw4YA899JC1bNmS0XUXnPv6NXbsWEtISMhx/4kTJ6xRo0ZWp04dW7JkiX/9yZMn/f9mvzlHcboIy5cvtzlz5tgTTzxhZv/9Yd23b59FRkbagAEDbPny5TZy5Ei7/vrr7eDBg27GLbQSExOtTZs21rFjR+vdu7eVK1fOFixY4L9/586d5vF4bM6cOTZ37lxbt26di2kLn+wX6FWrVlloaKi99tprZnb2gtgej8eefvpp/+/WJ598Yu3atbMHH3zQ1qxZ41rmwij7jWFmZqYlJCRYiRIl7L333vOvP3r0qL3++ut24403+j9Z5/F47H/+53/cjF0o/PqNXvY+OX78uJUoUcJatGjhP8Y2e9u0tDQLDQ211q1b27x583KcQoc3jheH4pSL7Bf27ItTmp09D0nNmjXN4/HYXXfddd4P2gsvvGARERFWvnx5q1y5sq1YsSLPc+O/Nm/ebLfeeqsVL17cf1HYrKwsy8jIsN27d1tERITNnj3b5ZSFy44dO3JcI/DTTz+1jh07mtnZ0lSpUqUcZ5nOHuHw+Xw5LocDd3Tq1MnKlCljH3744XmngHj11Vft/vvvt6uvvppTDlxm5/7tmTlzpsXExFizZs0sOjraPv74Y0tPT7eaNWtaZGRkjuujpqWlWatWreyKK66wUaNGuZD8r4Pi9CvZRWnz5s02cOBA69y5s//TWLt27bJWrVpZlSpVzmvzZmcPovzpp584cDWf2Lp1q912223Wtm3bHMPTI0aMsGrVqllSUpKL6QqXjIwMa926tVWoUMGOHj1qZmZvvPGGNW7c2NavX29VqlSxPn36+H//Pv/8c+vZs6cdPnzYxdSFS/b//bnTN2Y5T+573333WUhIiH344Yf+8zRlS01N9e9bXH7Dhg2zKlWqWLdu3axXr1523XXXWZEiRaxfv36WlJRk1atXtxYtWtjq1astKyvLDh8+bL169fJPveKPozidI/uF49cfZQ8MDLQXXnjBzM5eib127drWpEkT/x9ehjnzr+xpu9tvv91Wrlxp48aNsyuuuMJWrlzpdrRCZ+3atda0aVOrXbu2HTlyxHbu3GmtWrWykiVLWnR0tJn993cpJibGOnfunGOECpff7t27rUuXLvb111/nWH+h8pR9NnfkrfHjx1v58uVt2bJl/tHYpKQkGz9+vBUrVsz69+9v6enpVrduXatXr561b9/ewsPDrX379v6vwTFNfxzF6f9k/xBd6KPsgwcP9g9PJyUlWcOGDa1x48aWnJzsWmY4k5iYaO3bt7dy5cpZ0aJFbfny5W5HKlSyy1BmZqZt3LjRWrZsac2aNbOUlBQbPXq0lSlTxp5//nn75ZdfbMeOHTZ8+HArXbo0x565YNu2bdaiRQtr166d/8MV2X5dnsqWLWuzZs06b+QJl09WVpYdP37cbr31Vps4caJ/XfbvWEpKir388ssWEBBgs2fPtpSUFBs2bJj17dvX/zct+zH44yhO50hKSrKyZcvmOKeFmVm3bt2sQYMGFh4ebrfffrvNmjXLX55q1qzJ1FwBsGnTJuvYsSN/jPPQuVM+554HaOjQoebxeCwyMtJSUlLs0Ucftfr165vX67VmzZpZeHg4I4IuOneU9tzylH2JlWz16tWzevXq2bFjx9yIWWjt3r3bQkJC7LPPPjOz80vQnj17rGHDhtatWzczO39kiZGmP4/LHZ8jMzNT1apVk8/n0/fffy9Jev755/X//t//0z333KPHHntMu3bt0tNPP6309HR99NFHKlmypE6fPu1ycvye8PBwzZkzR3Xr1nU7SqGwZ88ePfDAA/rmm28kSUWLFpUkvfDCC5o2bZqmTJmi9PR0tWnTRiNHjtQXX3yht99+W/Hx8Vq0aBGX5nBRzZo1NWnSJHk8Ho0ZM8b/WujxeBQQEKATJ07oqaeeUmRkpD744ANdddVVLicuXIKDg1WsWDGtWrVKknKcd8nMVLFiRbVr107r1q1TRkaGMjMzc9xfpAh/9v80t5tbfvN7H2XftWuXeTwei4+PNzPj0z5ALrKnfO64444c59MqXbq0ffnll2Z29gzUERER1qhRIw4Cz4dyG3ny+Xw2cOBA83g8550rCHnj2LFj1qRJE2vZsmWOS9mcO2U3YMAA6927t5nxN+pyoDjlwslH2d9//32XUwL5W/Yf3jvvvNMeeughCw0NzfEmxOzsFdurVatmN9xwA1MI+dC55embb76xxx9/3IoXL85Uqsu+/vprCwwMtOjoaNu2bVuO+/bv32+1atWykJAQa9Cggb344os5LjWFP49LrlzAtm3b1L9/fwUEBCg2NlZRUVGSpJEjR2rGjBlavHixwsLCXE4J5G+JiYkaOHCgvvvuO40ZM0ZDhw6VJGVlZfmnDBITE1W0aFFVq1bNzai4gC1btigmJkbff/+90tPT9cMPP6hRo0Zuxyr0/vOf/2jIkCFq1aqVOnfurNatW2vTpk0aM2aMSpcurb59+yogIEB/+9vfdPXVV7sd9y+F4vQbtmzZokGDBsnMFBcXpy+//FKjRo3S0qVLOQYDcOjcNyFPPvmkWrVqJSlneUL+tnnzZj3++ON67rnnOE4wnzAzffHFFxoyZIh2796tkydPqkmTJrr++us1efJkt+P9pVGcfkf2u62ff/5ZR48e1Q8//KDGjRu7HQsoUM59EzJixAhFRka6HQkX6fTp0/6D/JF/HD16VCdOnNCBAwd0zTXXqFy5cpIufNFf/HkUJwd4twX8edlvQg4dOqSXX35ZN9xwg9uRgL8kM8vxaTtcWhQnh3i3Bfx5mzZt0ogRIzR+/HhVrlzZ7TgAcNEoTgDyVEZGhooVK+Z2DAD4QyhOAAAADvGRFgAAAIcoTgAAAA5RnAAAAByiOAEAADhEcQIAAHCI4gQAAOAQxQlAgbBo0SJ5PB6lpKS4HQVAIcZ5nADkSzfddJOuv/56TZgwQdLZE2ceOXJEV199NZeTAOCaQLcDAIATxYoVU/ny5d2OAaCQY6oOQL7z4IMPavHixZo4caI8Ho88Ho+mTZuWY6pu165d6tChg0qVKqUrr7xSdevW1WeffSbp7BXju3fvrtDQUBUvXlw1a9bU1KlTJeU+5ZeQkCCPx6OdO3f613333XeKiopS8eLFFRYWpkGDBik9PT2v/gsA5FOMOAHIdyZOnKjExETVq1dP//rXvyRJ69evz7HNgAEDlJGRoSVLlujKK6/Uhg0bdNVVV0mSRowYoQ0bNmj+/PkqW7astm7dqpMnTzp+/m3btqlNmzZ69tln9dZbb+ngwYMaOHCgBg4c6C9gAAonihOAfCckJETFihVTiRIl/NNzmzZtyrFNUlKS7r77btWvX1+SdO211+a4r2HDhmrSpIkkqWrVqhf1/HFxcerevbuGDBkiSapZs6YmTZqkG2+8UfHx8briiiv+4HcGoKBjqg5AgTRo0CA9++yzioyM1KhRo7RmzRr/ff369dOsWbN0/fXX6/HHH9fSpUsv6muvXr1a06ZN01VXXeVfbr/9dmVlZWnHjh2X+lsBUIBQnAAUSL1799b27dt1//33a+3atWrSpIleeeUVSVLbtm21a9cuPfroo9q7d6/+/ve/a9iwYZKkIkXOvuyd+4Hi06dP5/jax48fV9++fZWQkOBfVq9erS1btqh69ep59B0CyI8oTgDypWLFiikzM/M3twkLC9PDDz+sDz/8UEOHDtWUKVP894WGhio6OlozZszQhAkT9Prrr/vXS9K+ffv82yYkJOT4uo0aNdKGDRtUo0aN85ZixYpdou8QQEFEcQKQL1WtWlU//fSTdu7cqUOHDikrKyvH/UOGDNGCBQu0Y8cOrVy5Ut98841q164tSRo5cqQ+/vhjbd26VevXr9enn37qv69GjRoKCwvTM888oy1btmjevHkaP358jq89fPhwLV26VAMHDlRCQoK2bNmijz/+WAMHDsybbx5AvkVxApAvDRs2TAEBAapTp45CQ0OVlJSU4/7MzEwNGDBAtWvXVps2bXTdddfpP//5j6Szo1WxsbGKiIjQ3/72NwUEBGjWrFmSpKJFi+rdd9/Vpk2bFBERoXHjxunZZ5/N8bUjIiK0ePFiJSYmKioqSg0bNtTIkSNVsWLFvPnmAeRbnDkcAADAIUacAAAAHKI4AQAAOERxAgAAcIjiBAAA4BDFCQAAwCGKEwAAgEMUJwAAAIcoTgAAAA5RnAAAAByiOAEAADhEcQIAAHCI4gQAAODQ/wfyX4X8OExyHAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pr.pl.n_samples_per_category(\n",
    "    adata,\n",
    "    category_key=\"tissue\",\n",
    "    order=adata.uns[\"order_tissue\"],\n",
    "    color_scheme=adata.uns[\"colors_tissue\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "17fda9da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pr.pl.n_samples_per_category(\n",
    "    adata,\n",
    "    category_key=\"mouse_id\",\n",
    "    order=adata.uns[\"order_mouse_id\"],\n",
    "    color_scheme=adata.uns[\"colors_mouse_id\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afc3a4c6",
   "metadata": {},
   "source": [
    "## Quality control and preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d000ae1",
   "metadata": {},
   "source": [
    "Similar to the original analysis, we remove peptides from the iRT protein, which was used for calibration, and A2ASS6, which has extraordinarily many\n",
    "peptides and distorts the analysis.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d94da445",
   "metadata": {},
   "outputs": [],
   "source": [
    "irt_mask = (adata.var[\"protein_id\"] == \"iRT_protein\")\n",
    "adata = adata[:, ~irt_mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1227eeaf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "N peptides for protein A2ASS6: 919\n"
     ]
    }
   ],
   "source": [
    "A2ASS6_mask = (adata.var[\"protein_id\"] == \"A2ASS6\")\n",
    "print(f\"N peptides for protein A2ASS6: {A2ASS6_mask.sum()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "da282d13",
   "metadata": {},
   "outputs": [],
   "source": [
    "adata = adata[:, ~A2ASS6_mask]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd4bb21d",
   "metadata": {},
   "source": [
    "Next, peptides that differ only by technical modifications or derived from\n",
    "missed cleavages are summarized by summing up their intensities. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "58bbd476",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stripping modifications: 31760 peptides -> 29862 unique stripped sequences (method='sum').\n"
     ]
    }
   ],
   "source": [
    "pr.pp.summarize_modifications(adata, method=\"sum\", verbose=True)\n",
    "pr.pp.summarize_overlapping_peptides(adata)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e833350d",
   "metadata": {},
   "source": [
    "After these preprocessing steps, the dataset includes approximately 25,000\n",
    "peptides and 3,800 proteins per sample."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6f8a6601",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Global:\n",
      " mean_count  std_count  median_count  min_count  max_count  mean_pct  std_pct  median_pct  min_pct  max_pct\n",
      "    25184.2      199.1       25258.5      24623      25418      98.8      0.8        99.1     96.6     99.7\n",
      "\n",
      "Per tissue:\n",
      "tissue  mean_count  std_count  median_count  min_count  max_count  mean_pct  std_pct  median_pct  min_pct  max_pct\n",
      "   BAT     25181.2      191.5       25077.5      24997      25418      98.8      0.8        98.4     98.0     99.7\n",
      " Brain     25269.4        7.2       25268.5      25261      25280      99.1      0.0        99.1     99.1     99.1\n",
      " Heart     24860.5      110.9       24858.0      24623      24996      97.5      0.4        97.5     96.6     98.0\n",
      " Liver     25369.6       11.8       25372.0      25352      25386      99.5      0.0        99.5     99.4     99.6\n",
      "  Quad     25240.0       27.7       25240.0      25211      25289      99.0      0.1        99.0     98.9     99.2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='#'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr.pl.n_peptides_per_sample(\n",
    "    adata,\n",
    "    zero_to_na=True,\n",
    "    order_by=\"tissue\",\n",
    "    order=adata.uns[\"order_tissue\"],\n",
    "    color_scheme=adata.uns[\"colors_tissue\"],\n",
    "    print_stats=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f336afc9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Global:\n",
      " mean_count  std_count  median_count  min_count  max_count  mean_pct  std_pct  median_pct  min_pct  max_pct\n",
      "     3808.8        5.8        3811.5       3790       3815      99.8      0.2        99.9     99.3     99.9\n",
      "\n",
      "Per tissue:\n",
      "tissue  mean_count  std_count  median_count  min_count  max_count  mean_pct  std_pct  median_pct  min_pct  max_pct\n",
      "   BAT      3807.1        5.3        3805.0       3801       3814      99.7      0.1        99.7     99.6     99.9\n",
      " Brain      3812.1        0.6        3812.0       3811       3813      99.9      0.0        99.9     99.8     99.9\n",
      " Heart      3800.1        4.6        3801.0       3790       3806      99.6      0.1        99.6     99.3     99.7\n",
      " Liver      3814.0        0.5        3814.0       3813       3815      99.9      0.0        99.9     99.9     99.9\n",
      "  Quad      3810.8        1.5        3811.0       3808       3813      99.8      0.0        99.8     99.8     99.9\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='#'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr.pl.n_proteins_per_sample(\n",
    "    adata,\n",
    "    zero_to_na=True,\n",
    "    order_by=\"tissue\",\n",
    "    order=adata.uns[\"order_tissue\"],\n",
    "    color_scheme=adata.uns[\"colors_tissue\"],\n",
    "    print_stats=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b055722",
   "metadata": {},
   "source": [
    "Since proteoform group inference depends on high peptide coverage, we also inspect the distribution of peptides per protein:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4db161e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    mean  median  mode  variance  min  max\n",
      "6.680115     4.0     1 70.811955    1  118\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Number of peptide_id per protein_id', ylabel='# protein_id'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr.pl.n_peptides_per_protein(adata, print_stats=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d545f18",
   "metadata": {},
   "source": [
    "Note that no log transformation, data normalization or missing value\n",
    "imputation is performed here. This is because of the overall very high data\n",
    "consistency across the dataset and because COPF is based on covariation\n",
    "rather than direct intensity differences across conditions. This is also in\n",
    "agreement with the analysis by Bludau et al. (2021). However, other datasets\n",
    "might require additional preprocessing steps.  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "510952c2",
   "metadata": {},
   "source": [
    "## Exploratory analysis of peptide-level data\n",
    "\n",
    "Before proteoform inference, ProteoPy can be used to perform classical exploratory data analysis steps, for example to investigate the primary sources of variation in the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62956d00",
   "metadata": {},
   "source": [
    "### Sample correlation matrix\n",
    "\n",
    "High intra-tissue correlation and lower inter-tissue correlation show that peptide intensities are strongly driven by the tissue of origin and not by the mouse strain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "86b0a403",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x700 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pr.pl.sample_correlation_matrix(\n",
    "    adata,\n",
    "    method=\"pearson\",\n",
    "    margin_color=\"tissue\",\n",
    "    color_scheme=adata.uns[\"colors_tissue\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9755834a",
   "metadata": {},
   "source": [
    "### Dimensionality reduction\n",
    "\n",
    "The AnnData-based proteodata object created and used by ProteoPy is directly compatible with other AnnData based python packages such as scanpy (`import scanpy as sc`), which can for example be used for dimensionality reduction and clustering. \n",
    "\n",
    "Here, the PCA and UMAP analyses further confirm that tissue origin is the dominant source of variation in the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b40530b",
   "metadata": {},
   "source": [
    "#### PCA analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7810f73a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.tl.pca(adata)\n",
    "\n",
    "with rc_context({\"figure.figsize\": (5, 3)}):\n",
    "    sc.pl.pca_variance_ratio(adata, n_pcs=50, log=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "40e61923",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jjz7a+fq2227T+PHjlZycrDFjxuiOO+5QIND18+vee+9VXl6eUlNT9cUvflHt7e1Re28A4kdyQnav9guYbWoL1svryg+7vb5jtw62lUYyGoBBgn4LAAAg+uzqueKt32IQiajyh4K6f8Pr2t186B/UkGXq/eo9emzHB70+vtxXL1+go99ZDMPQt6eerRnZI+WQoQTDoVPyxugLE07t97mBwcrtTNH4zAWaPey/VJR6ihyG0+5IGORMK6TV1Y8cdZ+Pqh+JyhIWdXV1WrZsmb7+9a/L4/F02Zafn69rr71WTz/9dOdz144lNTVVjz76qDZv3qzf//73evDBB/W73/2uc/szzzyjxYsX6+6779aHH36o4cOH689//nNE3xOA+JSfMl3p7sJe7es3fZqRc22P21uDByMVC8AgQb9FvwUAAKLPrp4rHvstlmYd4va11Ku2vUXFqdlKd3uOfUAfravdp6ZA9+n56poyXT32BKW43D0e+1blDi3ds1YtQb+chkOn54/V58bOkcM4/vl5ZmKyvj75DAXMkBwy5HQwiweASKpp29rtV2Kf1BqsVU3b1h6fU3q8SktLZVmWJk2aFHb7pEmTVF9fr5qaml6d78c//nHnXxcXF+uWW27RU089pe9///uSpPvvv19f/OIX9cUvflGS9POf/1yvvvoqv9IHcEwOw6mzC+/Qmuq/qcK3SgmORBlyqC1U323f0oaXdV7hnXI5UhQwW7psM+RUTtL4WMUGMEDQb9FvAQCA6LOr54rHfotB5BDVEQrqL1ve1qb6SkmSwzB0UeEUXTpqekSv0xoKvwSrKUsdoUCPg8idTTV6YscHnU/OCVmm3qwsVVZishYU9v8fapeDu74AIBragt2/RO/PfsfjWL8Ic7t7/hHMkZ5++mn94Q9/0M6dO+Xz+RQMBpWWlta5fcuWLfrqV7/a5ZhTTjlFb7zxRt9DAxhyPAmZOrXg252vGzvKtWzvDxSyuq4E0hI4oN1Nb2lW7uf1wYG/6MhnS07JvlLJrt4t8wogftBv0W8BAIDos7vniqd+i9vBhqh/7l3fOYSUJNOy9ELZRm2pr4rodaZkDpcho1u9IDldWUd5LuPKA7sV7h+zFQd2RzAdACDSPAmZEd2vL0pKSmQYhrZs2RJ2+5YtW5Sbm6uMjAwZhtGtoTtyffz33ntP1157rS666CK98MILWrNmjX70ox/J7/dHPDcASFJ6YqGSnBlht9W2b9fYjHM1f9QvNTHzUo3PuFDnFt6paTmfjW1IAAMC/RYAAED02dVzxWO/xSByiPrwYFnY+vLK7WoNRu5vwpwkr64cPbPLKDI5waXPjzvpqMf5zfDrKgd7qAMABoZcz0R5Eo5+d05yQrZyPRMjfu3s7Gydf/75+vOf/6y2trYu26qqqvT4449r0aJFh3Lm5qqy8uMf5JSWlqq1tbXz9YoVKzRq1Cj96Ec/0ty5czVu3Djt3bu3yzknTZqk99/v+lDylStXRvhdARhKUt35YeteV54kKStptGYNu15z8r6gYcmTYxkNwABCv0W/BditsaNce5veVWPHPrujABFnmaas7R/KfO0xme+/KMsXvRUGMLDZ1XPFY7/F0qxDlCPMXYqStLZ2nza9/w+dXTBeF46crH+Vb9K62n1KdLp0Wv4YnTV8vAwj/LE9OX/kJM3IHqn1dRXyOF2anVMoT8LRbxuelVOoldXd736cmTOyT9cGAMSWw3BqzrAb9M7+3/S4z+xhN8hhRGeJ7D/96U869dRTNX/+fP385z/X6NGjtWnTJt16660aP368fvKTn0iSzjnnHP3pT3/SKaecolAopNtuu00ul6vzPOPGjVNZWZmeeuopnXDCCXrxxRf1j3/8o8u1vvOd72jRokWaO3euTjvtND3++OPatGmTxowZE5X3BiD+Tcq6TAdaN8iS2VlLcHg0LmOBjakADDT0W/RbgF1MK6T3Kv+gsuYVnbVRqfN08vBvRO3fOUAsWaYp87k/SrvXf1z78N9yfOZWGXmjbEwGO9jZc8Vbv8UdkUPUicOKe9wWMEN6ed8W/XzNS3qlYquq230qb6nXUztXa+medcd1vWGeVJ03YqJOyx97zCGkJM3MHnlo6HlEbWxari4tmnZc1wcAxE5h6kk6veCWbr8aS07I1ukFt6gw9eh3xffHuHHjtGrVKo0ZM0YLFy7UqFGjdOGFF2r8+PF699135fV6JUn33XefCgsLNW/ePF1zzTW65ZZblJyc3HmeT33qU/rud7+rb37zm5o5c6ZWrFihO+64o8u1rrrqKt1xxx36/ve/rzlz5mjv3r362te+FrX3BiD+5adM05kjf6i85KlKTsjWSO+JOq/wZz3eKQlg6KLfAmCH0oaXugwhJWlv89va2fiaTYmACNu5pssQUpLU0Sbz7SX25IHt7Oq54q3fMqxjPfEyCpqampSenq7GxsYuD8VE7ATMkB7d9p5WHywL+yzGniQ6EvSrk69QktN17J0joKq1SbubDyo3yauS9GExuSYADAWx+Cw2rZBq2raqLVgvT0Kmcj0TbfmV7E9/+lP99re/1SuvvKKTTz455te3C/0WAAD2ot+Kf/RbGGpeLfuJatq6P7MsL3mqzin8qQ2JgMgy33hC1powg3WHU86bHoh9IBxTrD6LB0LPNZj7LZZmHaJcDqe+POl0XdHu08NbV2hX88FeHddhBtXob1OSJzaDyPzkNOUn08wDwGDkMJzKS55idwzdeeedKi4u1sqVK3XiiSfK4WBBCAAAEB/otwDESrO/Sv6QL+w2hxGb7wmBqPNm9VDPjG0ODDgDoecazP0Wg8ghLifJq9Pzx/Z6EClJPn+78jwMBwEAg8cNN9xgdwQAAIC4Rr8FxCfLsvRh9UPa0fCK1MO6asVpZ8Q2FBAlxpRTZa36l9Te0rU++3ybEvWNVbVb5qp/S/UHZAwrknHSxTIyecxDPBms/dbgGZkiak7JG6OTP/HMyCmZwzWqh1+AvFC2MQapAAAAgMHNtIJaf/Ap/WPHl7Vk+3V6d//9ag3U2h0LAACg1/Y2v6sdDS8r3BDSabg0JevTKk47PfbBgCgwktPk+Oz3peJpktMlpefKOPsaOWafZ3e0Y7Iqd8l8+l6pdLV0cJ+szStkPvELWY29vwEJiBbuiIQchqEbJpyqC0ZOVrmvXvnJaSpOzdb/bF+pvb66bvvvaubLEwAAACAc0wopYLYq0Zmqj6r/R6UNL3VuK2t+V/Xtu3TR6N/Z8gw3AACAvipvXhm2npKQp/nF9yjRmRrjREB0Gbkj5fz0TXbH6DPzg39JoWDXYkerrDWvyjjrc7ZkAg5jEIlOI1IyNCIlo/N1blL4RiI3yRvR61a3NSvRmaB0tyei5wUAAABiaVPts9pa90/5TZ9SXcPVEqjptk9zoFL7fR9pZOoJNiQEAADom55+POV2JjOEBAaS+qqwZasufB2IJQaR6NHp+WP0+v6tag50dKkvKJwckfPvbjqo/9m+UpVtTTIkTc0q0KLxp8jrSozI+QEAAIBY2V7/ktYffLLzdXOgssd9W4OsMAIAAAaH4rQzVNa8olt9dPqZNqQB0BMjt1BWXff/BjGGFdmQBuiKZ0QOQVblLoWW/kGhB29V6B+/l7V/R9j90twe3Tr9fJ2QO0qZ7mSNTcvVVyfN09zcUf3O0B4K6I+blquyrelQJkkb6vbrf0vf7/e5AQAAgFg79Oyk3hmWHJkf9gEAAETbCO8cTc+5RgnGoRsHHHJqXMZ8jc+40OZkAI5knHSx9MkVB72ZMmadG5PrWx2tspp4HiXC447IIcaqKZf5zK+kUOBQoblOZtlmOT73Qxl53QeMeclp+tLE0yKeY13tPrUE/d3q62sr5Au0y+tKivg1AQAAgGjpCDX3sMXQoZ/dHTI+40JlJPKrZAAAMHhMyb5C4zIuUJO/Ql5XnpIS0u2OBOATjJyRclx7h6w1r8qqr5IxrFjGrHNlpPT/n1errlLmm09LezdLHq+MmefKOPFCGYZDVsAv6/XHZG1ZKZkhKWu4HOdeJ6NwYgTeFeIFg8ghxlr98sdDyMNCQVmrX5Zx0ZdjlqPjkw/O/Q9LlvxmKGY5AAAAgEgYnjJTu5uWd6vPyv0v+c1mBcw2jUiZq/yUabEPBwAA0E9uZ4pyPOPtjgHgKIzMPBnnXBvRc1odbTKX/FpqaTxUaGmU9e6zUigo49TLZL21RNamdz8+oK5S5tI/yPGFeyIyBEV8YBA5xFgN1X2qR8u0rBFyGB/KtKwu9SJvprISU2KaBQAAAOiv6TmfU03bVvkCVZ21kd6TND5zgRyG08ZkAAAAAHB8rG0ffDyEPLK+9jWZJ14ka/O73Q8KdMja9oGM2efHICEGAwaRQ4yRPzrsMyGN/NExzZGZmKxrxp6gJ3d+qJBlSpLSXEm6ftzJMc0BAAAAREKyK1sXFf9W5b731RKoVo5ngvKSp9gdCwAAoM+aOipU5lspQw6NSj1VXnee3ZEA2MVXH77e3iIFOqRA98evSZI62qKXCYMOg8ghxDJD0vSzpO0fdv0XSEqGjBMWxDzPvOElmp49Qhvr9suT4NK0rBFyOfi1OAAAAAYnp8Ol4rTT7Y4BAABw3HY0vKJVBx7U4Wdcbzj4tE4e/g0Vp82zNxgAWxiFE2Wt/Gf3DXmj5fB4FRo1Wdq7qftxY2fEIB0GCwaRQ4BlhmS986ys9W9K/jYpd5SM4qmyOlplZI+QMeMs29ZrTnd7dFr+WFuuDQAAgPgVNDvUFqxTckKOnA6X3XEAAAAGPH+oRR9VP6rDQ0hJshTS6gMPa6T3RJU3v6/Ndc/KFzig7KQSTc+5RsOSJ9mWF0D0GYUTZUw6RdaW9z4uuhLlOOsqSZLjnGtk/v0+qbnu8BEyTr5ExrBRsQ+LAYtB5BBgrVgq68OXPi7U7JXVVC3HDffISE61LxgAAAAQBRtr/09b655TwGyT25mqadmf1fjMC+2OBQAAMKDVtG1VyOq+zKLfbNHWun9qQ+3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      "text/plain": [
       "<Figure size 2183.4x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2183.4x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.pca(\n",
    "    adata,\n",
    "    color=[\"tissue\", \"tissue\", \"tissue\"],\n",
    "    dimensions=[(0, 1), (1, 2), (2, 3)],\n",
    "    ncols=3,\n",
    "    size=90,\n",
    "    palette=adata.uns[\"colors_tissue\"],\n",
    ")\n",
    "\n",
    "sc.pl.pca(\n",
    "    adata,\n",
    "    color=[\"mouse_id\", \"mouse_id\", \"mouse_id\"],\n",
    "    dimensions=[(0, 1), (1, 2), (2, 3)],\n",
    "    ncols=3,\n",
    "    size=90,\n",
    "    palette=adata.uns[\"colors_mouse_id\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44d5dd6e",
   "metadata": {},
   "source": [
    "#### UMAP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c439e33c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ifichtner/miniforge3/envs/proteopy-0-1-1/lib/python3.10/site-packages/sklearn/manifold/_spectral_embedding.py:328: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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uiLZ8c8i+3qyTwAjJt+oRPAAAjITgBq+pEx2krV1j1UcF6qsCPa0S5comSSo4WaEFPxy09y3OL9PB7bkuz5O5/oh9vdnf2qFUrX73TZ04dNDlfgAAjITgBq/Kzi9VqaTyX7Z9rJXqfOgnDd+6VL6rl8tWdmrUzWazVXkOm1VSyg3StVNOrT8rqdzmq/XH62lhuk3rFn6oNx/5o3ZnbPDoZwEAwNN4OQFe1aFRhEwmyWaTQsqKNemb/+iyvF9Gx7Yu1a6v5qvhnNkKjolRbOMwHdmd73SOpu1PhTWl3SVdPloZH/5Xq+cvUrnNbO9TWV6uFbNe19ip05nDDwBgWIy4wasSI4M1qlMjSdLIrUvPhLZflO3eraMvvihJ6jmyhYJ+80JDYmqkUrrWO9Pg66ftW/c7hLbTcrMOK/fIYfd+AAAAahAjbvC6p69PUbuG4Ypf/jeX+/OXLlPC5MmKrBeikX/tpB0bslWUe1JxTcNVv3mEU3+/IOfJeyXJZPKRf2CQW2sHAKAmMeKGWmFQ23qKCHX99qfJfGb0rI6/WSENKpStLfph+9fKzMx06t/qatfztjW5vKOCLOFuqRcAAG8guKHWCLvuWtft155p/+qrrzRjxgytXbtWGzZs0Ntvv62FCxc69G96eZquGnqbfP3OTPLbILmV+t49zjOFAwBQQ7hViloj+r77dPKnTSpeu9beFtC6tWImjJck5efna+XKlU7Hpaenq127dmrQoIG9Le3GIWrT5zod2bVDIXXrKrJ+Q89/AAAAPIzghlrDJzhYiW/OUfH69Tq5fbv8mzRRUFqa/S3QnTt3ymq1ujw2MzPTIbhJUkBIiBJbt/V02QAA1BiCG2qdoA4dFNShg1O7v3/V65uebR8AABcLnnGDYSQlJSk42PmNUbPZrFatWnmhIgAAahbBDYZRp04dDRs2TBaLxd4WGBiowYMHKywszIuVAQBQM0y2s60l5CH5+fmyWCzKy8vjCxfVZrVatW/fPlVWVqphw4aqU6eOt0sCgEsC39/exzNuMBwfHx81atTI22UAAFDjuFUKAABgEAQ3AAAAgyC4AQAAGATBDQAAwCAIbgAAAAZBcAMAADAIghsAAIBBENwAAAAMguAGAABgEAQ3AAAAgyC4AQAAGATBDQAAwCAIbgAAAAZBcAMAADAIghsAAIBBENwAAAAMguAGAABgEAQ3AAAAgyC4AQAAGATBDQAAwCAIbgAAAAZBcAMAADAIghsAAIBBENwAAAAMguAGAABgEAQ3AAAAgyC4AQAAGATBDQAAwCAIbgAAAAZBcAMAADAIghsAAIBBENwAAAAMguAGAABgEAQ3AAAAgyC4AQAAGATBDQAAwCAIbgAAAAZBcAMAADAIghsAAIBBENwAAAAMguAGAABgEAQ3AAAAgyC4AQAAGATBDQAAwCAIbgAAAAZBcAMAADAIghsAAIBBENwAAAAMguAGAABgEAQ3AAAAgyC4AQAAGATBDQAAwCAIbgAAAAZBcAMAADAIghsAAIBBENwAAAAMguAGAADwixdeeEEmk0kPPPCAva1Hjx4ymUwOP/fcc49X6vP1ylUBAABcqLTatHb3CWUXnFRMaICuaFxXZh9TjVx73bp1+s9//qPWrVs77bvzzjv17LPP2reDgoJqpKbfIrgBAIBaYcmmw3pm0WYdzjtpb4u3BOgvA5PVLzXeo9cuLCzUiBEj9MYbb+i5555z2h8UFKS4uDiP1nA+uFUKAAC8bsmmw7r3rXSH0CZJWXknde9b6Vqy6bBHr3///ferf//+6t27t8v9b7/9tqKiopSamqrHHntMxcXFHq2nKoy4AQAAr6q02vTMos2yudhnk2SS9MyizeqTHOeR26bvvfee0tPTtW7dOpf7hw8frsTERCUkJGjjxo2aOHGitm3bpo8++sjttZwLwQ0AAHjV2t0nnEbafs0m6XDeSa3dfUKdmka69dr79+/Xn//8Zy1btkwBAQEu+9x1113231u1aqX4+Hj16tVLO3fuVNOmTd1az7lwqxQAAHhVdkHVoe1C+lXHhg0blJ2drfbt28vX11e+vr768ssv9fLLL8vX11eVlZVOx6SlpUmSduzY4fZ6zoURNwAA4FUxoa5Hui60X3X06tVLP/30k0PbmDFj1KJFC02cOFFms9npmIyMDElSfLxnX5hwheAGAAC86orGdRVvCVBW3kmXz7mZJMVZTk0N4m6hoaFKTU11aAsODlZkZKRSU1O1c+dOvfPOO7ruuusUGRmpjRs36sEHH1S3bt1cThviadwqBQAAXmX2MekvA5MlnQppv3Z6+y8Dk2tsPrdf8/Pz0/Lly9W3b1+1aNFCEyZM0M0336xFixbVeC2SZLLZbK7CrUfl5+fLYrEoLy9PYWFhNX15AABwATz9/e3NedyMglulAACgVuiXGq8+yXFeWznBCAhuAACg1jD7mNw+5cfFhGfcAAAADILgBgAAYBAENwAAAIMguAEAABgEwQ0AAMAgCG4AAAAGQXADAAAwCIIbAACAQRDcAADAJe3gwYMaOXKkIiMjFRgYqFatWmn9+vUOfbZs2aLrr79eFotFwcHB6tixo/bt21fjtbJyAgAAqD2sldLeNVLhESkkVkrsLPmYPXa5nJwcdenSRT179tTixYsVHR2tzMxMRURE2Pvs3LlTV111lW6//XY988wzCgsL088//6yAgACP1VUVFpkHAADnxePf35sXSksmSvmHzrSFJUj9JkvJ17v/epIeffRRffPNN/rqq6+q7DN06FDVqVNHc+fO9UgN1cGtUgAA4H2bF0rzbnMMbZKUf/hU++aFHrnswoUL1aFDBw0ePFgxMTFq166d3njjDft+q9WqTz/9VM2aNdM111yjmJgYpaWlacGCBR6p51wIbgAAwLusladG2uTqJuAvbUsePdXPzXbt2qVp06YpKSlJn3/+ue69916NGzdOc+bMkSRlZ2ersLBQL7zwgvr166elS5fqxhtv1E033aQvv/zS7fWcC7dKAQDAefHY9/fur6Q5A87db9QnUuOu7ruuJD8/P3Xo0EFr1qyxt40bN07r1q3Tt99+q0OHDqlevXoaNmyY3nnnHXuf66+/XsHBwXr33XfdWs+5MOIGAAC8q/CIe/tVQ3x8vJKTkx3aWrZsaX9jNCoqSr6+vmftU5MIbgAAwLtCYt3brxq6dOmibdu2ObRt375diYmJkk6NyHXs2PGsfWoS04EAAADvSux86u3R/MNy/Zyb6dT+xM5uv/SDDz6ozp076/nnn9eQIUO0du1aTZ8+XdOnT7f3efjhh3XrrbeqW7du6tmzp5YsWaJFixZp1apVbq/nXHjGDQAAnBePfn+ffqtUkmN4M536x5A3PTYlyCeffKLHHntMmZmZaty4scaPH68777zToc/MmTM1adIkHThwQM2bN9czzzyjQYMGeaSesyG4AQCA8+KdedzqSf1e8FhoMxpulQIAgNoh+XqpRf8aXTnBaAhuAACg9vAxu33Kj4sJb5UCAAAYBMENAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAIBL2sGDBzVy5EhFRkYqMDBQrVq10vr16+37CwsL9cc//lH169dXYGCgkpOT9frrr3ulVlZOAAAAtUaltVLp2ek6WnxU0UHRah/TXmYPLnmVk5OjLl26qGfPnlq8eLGio6OVmZmpiIgIe5/x48drxYoVeuutt9SoUSMtXbpU9913nxISEnT99TW7hirBDQAA1ArL9y7XC2tf0JHiI/a22KBYPXrFo+qd2Nsj15w8ebIaNGigWbNm2dsaN27s0GfNmjUaNWqUevToIUm666679J///Edr166t8eDGrVIAAOB1y/cu1/hV4x1CmyRlF2dr/KrxWr53uUeuu3DhQnXo0EGDBw9WTEyM2rVrpzfeeMOhT+fOnbVw4UIdPHhQNptNK1eu1Pbt29W3b1+P1HQ2BDcAAOBVldZKvbD2Bdlkc9p3um3y2smqtFa6/dq7du3StGnTlJSUpM8//1z33nuvxo0bpzlz5tj7vPLKK0pOTlb9+vXl5+enfv366dVXX1W3bt3cXs+5cKsUAAB4VXp2utNI26/ZZFNWcZbSs9PVMa6jW69ttVrVoUMHPf/885Kkdu3aadOmTXr99dc1atQoSaeC23fffaeFCxcqMTFRq1ev1v3336+EhAT17u2ZW7hVIbgBAACvOlp81K39qiM+Pl7JyckObS1bttSHH34oSSopKdHjjz+u+fPnq3///pKk1q1bKyMjQ//4xz9qPLhxqxQAAHhVdFC0W/tVR5cuXbRt2zaHtu3btysxMVGSVF5ervLycvn4OEYms9ksq9Xq9nrOhRE3AADgVe1j2is2KFbZxdkun3MzyaTYoFi1j2nv9ms/+OCD6ty5s55//nkNGTJEa9eu1fTp0zV9+nRJUlhYmLp3766HH35YgYGBSkxM1Jdffqk333xTL730ktvrOReTzWZz/jfkYfn5+bJYLMrLy1NYWFhNXx4AAFwAT35/n36rVJJDeDPJJEl6qcdLHpsS5JNPPtFjjz2mzMxMNW7cWOPHj9edd95p35+VlaXHHntMS5cu1YkTJ5SYmKi77rpLDz74oEwmk0dqqgrBDQAAnBdPf3+7msctLihOE6+Y6LHQZjTcKgUAALVC78Te6tmgZ42unGA0BDcAAFBrmH3Mbp/y42LCW6UAAAAGQXADAAAwCIIbAACAQRDcAAAADKLawa2kpERff/21Nm/e7LTv5MmTevPNN91SGAAAABxVK7ht375dLVu2VLdu3dSqVSt1795dhw8ftu/Py8vTmDFj3F4kAAAAqhncJk6cqNTUVGVnZ2vbtm0KDQ1Vly5dtG/fPk/VBwAAgF9UK7itWbNGkyZNUlRUlC677DItWrRI11xzjbp27apdu3Z5qkYAAAComsGtpKREvr5n5uw1mUyaNm2aBg4cqO7du2v79u1uLxAAAMBTGjVqJJPJ5PRz//33S5LuvvtuNW3aVIGBgYqOjtagQYO0detWr9VbrZUTWrRoofXr16tly5YO7f/+978lSddff737KgOA6rBWSpnLpJw9UkJbqeGV3q4IwAWwVVaqeP0GVRw9Kt/oaAV1uFwms+eWvFq3bp0qKyvt25s2bVKfPn00ePBgSdLll1+uESNGqGHDhjpx4oSefvpp9e3bV7t375bZg3VVpVqLzE+aNElfffWVPvvsM5f777vvPr3++uuyWq1nPQ+LzANwq/zD0puDpGPbzrRd1lu69W2pToD36gIuMp7+/s5fulRHnp+kiqwse5tvXJxiH39MYX37uv16rjzwwAP65JNPlJmZKZPJ5LR/48aNatOmjXbs2KGmTZvWSE2/Vq3g5i4ENwBu9f4fpC0LnduvfkLq9nCVh5Xu3KnKnBwFpKbKJ4CAB2MrKSlRRkaGjh8/rtjYWLVu3Vr+/v5uvYYnv7/zly7VwT8/IP02lvwSnur9a6rHw1tZWZkSEhI0fvx4Pf744077i4qK9MQTT+jjjz/W1q1b5efn59F6XKn2IvN79uzRsmXLVFZWpu7duys1NdUTdQHA+akolba5vgugTfNdBrfyI9k6OH68SjZskCT5WCyKffghhd9yiycrBS5YxfHjKsnIkDmiroLat3Paf/z4cc2aNUuFhYX2tjVr1mjMmDGGGCCxVVbqyPOTnEObdKrNZNKR5ycptFcvj942XbBggXJzczV69GiH9tdee02PPPKIioqK1Lx5cy1btswroU2q5ssJK1euVEpKiu6++2796U9/Uvv27fXWW295qjYAODebTbJV8XhGFe2HJkywhzZJsubl6fCTT6kkI8MDBQK/z7HXX9eOHj114P4/au/w4do16AaVHzzo0GfZsmUOoU2ScnJytGrVqhqs9MIVr9/gcHvUic2miqwsFa/fUHUfN5gxY4auvfZaJSQkOLSPGDFCP/zwg7788ks1a9ZMQ4YM0cmTJz1aS1WqFdyefPJJ9enTRwcPHtTx48d155136pFHHvFUbQDgoNJaqdmbZmvQgkHqOa+n/u/r/9PB0uNS0jWuD0ge5NRUunu3itevd+5rsyn3w4/cXDHw+xR+9bWOTv2XbOXl9rbSbdt08JGJDv2qmtXBKLM9VBw96tZ+F2Lv3r1avny57rjjDqd9FotFSUlJ6tatm/73v/9p69atmj9/vsdqOZtqBbdNmzbp+eefV3x8vCIiIjRlyhRlZ2fr+PHjnqoPAOye//55vbjhRe3K26VjJce0cOdC3bb4NuX2+j8popFD38zA1hq5JU2Tl2zV0YJSe7s1L6/K81fm5nqocuDC5C1Y4LK9ZMMGle3fb9+u6radt27nVZdvdLRb+12IWbNmKSYmRv379z9rP5vNJpvNptLS0rP285RqPeOWn5+vqKgo+3ZQUJACAwOVl5enyMhItxcHAKdlF2fro0znEbHs4mx9dHSdxt6/Ttq6SJs2/ai/bwzU6pOtpJwSfb1vpxZmHNLHf+yiqBB/+ScnyxwRocqcHKdzBXfpUhMfBbArKq3Qu2v3ac3O46ob7KdhVzTU5YkR9v3WoqIqj7UWF9t/b9Omjb7//nunPm3atHFvwR4S1OFy+cbFqeLIEdfPuZlM8o2NVVCHyz1yfavVqlmzZmnUqFEO89Xu2rVL77//vvr27avo6GgdOHBAL7zwggIDA3Xdddd5pJZzqfbLCZ9//rksFot922q16osvvtCmTZvsbcznBsDddubuVIWtwuW+bSe2Sb5+Km95o8Z+bFG21fFvwgdzSzT7mz166Jrm8vHzU+yjE3XoscelX01dFNi2rSw3ON9aBTylqLRCg1//VpsP59vbPkw/oMk3tdaQjg0kSSE9uqvQxXNqdRIS5J+UZN/u1auXThw/ocwdmfa25pGN1bljJ899ADcymc2KffyxU2+VmkyO4e2Xt0pjH3/MYy8mLF++XPv27dPYsWMd2gMCAvTVV19p6tSpysnJUWxsrLp166Y1a9YoJibGI7WcS7WmA/HxOfedVZPJ5DCRnStMBwKgug4VHtK1H10rq4sXDu5re5/ubXOvdh4tVK8Xv3R5fFrjunr/7jNfYiU//6y8Dz9UZW6uStu313pfX+3YtUsBAQFq3769unbt6pXJNXHpmPH1bv31k81O7XWD/fTtY1cra2uufvxin3J+3q2QI1uUuG+pgkuyZfL3V/1XXlZIt24Oxx2dvlFZuw8qz1SsCFuILLYg+TUKU/TdrV3OR3YhLoV53Gq7ao24nWtiXQDwlISQBPVr1E+f7Xac+sPib9EtSaem8YgM9lMds0nllc5/H40Nc5ynLTAlRYEpKSoqKtJrr72mol9uSZWVlWnVqlXKycnRjTfe6KFPA0jf7nT9fPiJojKtXrpH2xfuPdXgE67C+E46ntBRvZvuUf2h/eVXv57DMSd35Kp0V54iFKIIW4i9vWxPvkozcxXQLEJGENa3r0J79arRlROMplovJ5yL1WrVJ5984s5TAoDdX7v8VWNSxyjcP1xmk1ld63XVrGtmKTro1APL4UF+Gtgmwek4H5N0W6dEl+dMT0+3h7Zf27hxo/LO8iID8HtFhVTx4oBN2r/6sFNzuc1Xe2K6OoU2SSo/XOjUdj77aiOT2azgtCtkGdBfwWlXENp+o9rPuLmyY8cOzZw5U7Nnz9bRo0dV/qvXlgHAXfzMfhp/+XiNv3x8lX0e6hSlQ1t/1rqiUFWazIr0t+nJG9qqQ6O6LvtnZ2e7bLfZbDp27JjDM72Au5SXlapbeJHmmSTrbwaIr24SqZIfil0el723wGW7b2Rgldc62z4YzwUHt5KSEn3wwQf673//q2+++UZdu3bVU089xa0FAF5TmHNCH//1UXXMy1VrHz+d9AlQaEWB6m65WWo32uUxVT1gbDKZHN6iB9wlc923Wvr6yzpZWKBeIc30TWQXFfucupXfo3m0Jt/UWgu2rlVZifPLOCfqHNGdS+9UhH+Ebml2i66Iv0KSFNCirnxjg1RxxDHw+UYHKqAlsz5cTKp9q3TdunW6++67FRcXp6lTp2rQoEEymUx67bXXdM899yg2NtYTdQLAOf247DMV5+VKkvytZbJU5MtHNv2weJFOFrq+XdS+fXsFBwc7tfsXxyg70zszo+PiVXjiuD791991svDUyFmLwu0avXeObsv5TKvGd9HsMVco2hKgVt2db4faZNXHQTP13eHvtHjPYt2+9HbN2zZPkmTyMSn69lYKbBMtmU2S2aTA1lGKvqOVTGb3vJiA2qFaI26tW7dWfn6+hg8frjVr1iglJUWS9Oijj3qkOACojqN7d7tsrygrVc7hg4pPau60Lzg4WFelXqdVq1aqzD9HJpuvAkpiFVTYUF/Py1STdtEym936ODAuYVu/+VKVv3mcyCyrLLl7Vbl5tWROkeo20RXXN5HJx6SfVh1QaXGFTOHlWhozV4csOxyOffmHlzXoskHyN/vLHOanyGEtZPvl3qvJh8B2MapWcNu2bZtuvfVW9ezZU8nJyZ6qCQAuSHic84sJkuRjNiss+swt0fKsIhVvPLV0TmBqlHL2VCosz/nPtOL8Mh0/UKiYRKYtgnuUnSxxagv2LVW/+O1KXHWbtMomRSbJp/+LSru+uzr2b6Syk5V6+Lvx2nXgR6dj80rzlJmTqdSoVHsbge3iVq2/Ru7atUvNmzfXvffeq/r16+uhhx7SDz/84Lb5YQDg92jbt7/8Ap0fxE7p3kvB4aemQyj48oCOTE1XwYr9KlixX9kv/6D44rIqz+kX6JZ3uABJUuN2HZzabqi/WY1CcmXSL28pHM+U3h0q5e6Xj9lHAcF1FBXk+nlLk0yKDOAZtktJtYJbvXr19H//93/asWOH5s6dq6ysLHXp0kUVFRWaPXu2YRazBXBxCo+N0+An/qaGqa0lk0kBoWG64obB6nX7fZKkihMnlbfE+XZq9NESBbv40zAhKVzhMUGeLhuXkPjLmqtN3zNrYcYFFCgu0MXzl+XFUsY79s1bmt0is8l5Woxu9bspPiTeI7WidqrWygmu5OXl6e2339bMmTOVnp6u1NRUbdy48azHsHICAE+zWa0y/Wa1l8I1h5S7cKfL/sXN62rVj8dUfvLUyi+xjcPU765WConw93ituPTs/SlDO9Z9q5iTW9Uqe7brTpePkQZOtW8u2bNEU9ZNUXZxtnxMPurZoKee6fyMLP41N2UN39/e97uD269lZGRo5syZevnll8/aj//wALyhaG2Wcj7KdLkvfFBT+bWL0ZE9+QoM8VNU/RCX/QC3Kjgi/TNFsrqY//Sm/0qtBzs0VVgrtDd/ryz+FkUF1vx0NTXx/W212nQ4M1dF+aUKDvNXfFK4fDz43F5lZaWefvppvfXWW8rKylJCQoJGjx6tJ554wv4omM1m01/+8he98cYbys3NVZcuXTRt2jQl/Wq92Jri1oc32rZte87QBgDeEpASKdOinbKV/2b5Pl+TAltFyRzgqwYtXE/UC3hEaKx01QPS6imO7Q3SpORBTt19fXzVNLxpzdTmBTt/yNZX72eqKLfU3hYc7q+utyapaTvPLOo+efJkTZs2TXPmzFFKSorWr1+vMWPGyGKxaNy4cZKkv//973r55Zc1Z84cNW7cWE8++aSuueYabd68WQEBAee4gntVa8Tt6quvPvcJTSZ98cUXZ+3DiBsAbynZfFwn3t8mW+mpW6Imf7PqDm6mwFQm24UXbVkkZbwrlRVKza45dZvUr/Y9X+nJ7++dP2RryX82Vbm/392pHglvAwYMUGxsrGbMmGFvu/nmmxUYGKi33npLNptNCQkJmjBhgh566CFJpx4Ti42N1ezZszV06FC313Q21RpxW7VqlRITE9W/f3/VqVPHUzUBgMcEJkcq/vE0ndx+QrJJAc0j5OPPm6PwspYDT/1coqxWm7563/VjDKd9PS9TjdtEu/22aefOnTV9+nRt375dzZo1048//qivv/5aL730kiRp9+7dysrKUu/eve3HWCwWpaWl6dtvv63dwW3y5MmaNWuWPvjgA40YMUJjx45VamrquQ8EgFrEx9+soFbR3i4DwC8OZ+Y63B51pTCnVIczc1WveYRbr/3oo48qPz9fLVq0kNlsVmVlpf72t79pxIgRkqSsrCxJcloZKjY21r6vJlVrOpCHH35Ymzdv1oIFC1RQUKAuXbroiiuu0Ouvv678/HxP1QgAAC5iRflnD23V7Vcd8+bN09tvv6133nlH6enpmjNnjv7xj39ozpw5br+WO1zQOi6dOnXSG2+8ocOHD+v+++/XzJkzlZCQQHgDAADVFhx2ftPunG+/6nj44Yf16KOPaujQoWrVqpX+8Ic/6MEHH9SkSZMkSXFxcZKkI0eOOBx35MgR+76a9LsW4EtPT9eXX36pLVu2KDU1lefeAABAtcUnhSs4/OyhLCTi1NQg7lZcXCyf38z5aDabZbWeevu8cePGiouLc3jxMj8/X99//706derk9nrOpdrB7dChQ3r++efVrFkz3XLLLapbt66+//57fffddwp0sdQMAADA2fj4mNT11rPPiXbVkCSPzOc2cOBA/e1vf9Onn36qPXv2aP78+XrppZd04403Sjo1W8YDDzyg5557TgsXLtRPP/2k2267TQkJCbrhhhvcXs+5VGs6kOuuu04rV65U3759NXbsWPXv31++vtV/G4vpQAAAMB5Pf3+7msctJMJfVw3x3DxuBQUFevLJJzV//nxlZ2crISFBw4YN01NPPSU/Pz9JZybgnT59unJzc3XVVVfptddeU7NmzTxS09lUK7j5+PgoPj5eMTExZ11YPj09/aznIbgBAGA8F+PKCUZTreGyp5566qyBDQAA4Pfw8TG5fcqPi4lb1yo9X4y4AQBgPHx/e1+1RtwiIiJcjrhZLBY1a9ZMDz30kPr06eO24gAAAHBGtYLb1KlTXbbn5uZqw4YNGjBggP73v/9p4MBLd9kOAAAAT6lWcBs1atRZ97dt21aTJk0iuAEAAHjA75qA97cGDBigrVu3uvOUAAAA+IVbg1tpaal9zhMAAAC4l1uD24wZM9S2bVt3nhIAAAC/qNYzbuPHj3fZnpeXp/T0dG3fvl2rV692S2EAAABwVK3g9sMPP7hsDwsLU58+ffTRRx+pcePGbikMAAAAjqoV3FauXOmpOgAAAGS1Vurglp9VmJujkPAI1WuZIh8fs0evuXr1ak2ZMkUbNmzQ4cOHNX/+fIcF5E+vVfrGG28oNzdXXbp00bRp05SUlGTvc3qh+oyMDPn5+Sk3N9cjtVZ/hXgAAAAPyPx+jVbMnq7CE8fsbSF1o3T16LuUlNbZY9ctKipSmzZtNHbsWN10001O+//+97/r5Zdf1pw5c9S4cWM9+eSTuuaaa7R582YFBARIksrKyjR48GB16tRJM2bM8FitLHkFAADOiye/vzO/X6OFLz1f5f7rxz/u0fB2mslkchhxs9lsSkhI0IQJE/TQQw9JOvVsf2xsrGbPnq2hQ4c6HD979mw98MADHhtxc+tbpQAAANVltVZqxezpZ+2zcs50Wa2VNVTRGbt371ZWVpZ69+5tb7NYLEpLS9O3335b4/UQ3AAAgFcd3PKzw+1RVwqOH9PBLT/XUEVnZGVlSZJiY2Md2mNjY+37ahLBDQAAeFVhbo5b+13MCG4AAMCrQsIj3NrPneLi4iRJR44ccWg/cuSIfV9NIrgBAACvqtcyRSF1o87aJzQySvVaptRQRWc0btxYcXFx+uKLL+xt+fn5+v7779WpU6car4fpQAAAgFf5+Jh19ei7zvpWac9Rd3lsPrfCwkLt2LHDvr17925lZGSobt26atiwoR544AE999xzSkpKsk8HkpCQ4DDX2759+3TixAnt27dPlZWVysjIkCRddtllCgkJcVutTAcCAADOi6e/v13N4xYaGaWeozw7j9uqVavUs2dPp/ZRo0Zp9uzZ9gl4p0+frtzcXF111VV67bXX1KxZM3vf0aNHa86cOU7nWLlypXr06OG2WgluAADgvNTE97c3Vk4wEm6VAgCAWsPHx6wGKa29XUatxcsJAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhuAADgkpeVlaU//elPatKkifz9/dWgQQMNHDjQvrh8jx49ZDKZHH7uuece+/GzZ8922n/6Jzs72211snICAACoNWxWm0p358laUCafUD/5N7bI5GPy6DX37NmjLl26KDw8XFOmTFGrVq1UXl6uzz//XPfff7+2bt0qSbrzzjv17LPP2o8LCgqy/37rrbeqX79+DucdPXq0Tp48qZiYGLfVSnADAAC1QsmmY8pdtFOVeWX2NrPFT+EDmyowNcpj173vvvtkMpm0du1aBQcH29tTUlI0duxY+3ZQUJDi4uJcniMwMFCBgYH27aNHj2rFihWaMWOGW2vlVikAAPC6kk3HdPytLQ6hTZIq88p0/K0tKtl0zCPXPXHihJYsWaL777/fIbSdFh4ebv/97bffVlRUlFJTU/XYY4+puLi4yvO++eabCgoK0i233OLWehlxAwAAXmWz2pS7aOdZ++Qu2qWA5Ei33zbdsWOHbDabWrRocdZ+w4cPV2JiohISErRx40ZNnDhR27Zt00cffeSy/4wZMzR8+HCHUTh3ILgBAACvKt2d5zTS9luVeaUq3Z2ngKbhbr22zWY7r3533XWX/fdWrVopPj5evXr10s6dO9W0aVOHvt9++622bNmiuXPnurVWiVulAADAy6wFZw9t1e1XHUlJSTKZTPYXEM5XWlqapFMjdr/13//+V23bttXll1/ulhp/jeAGAAC8yifUz639qqNu3bq65ppr9Oqrr6qoqMhpf25ursvjMjIyJEnx8fEO7YWFhZo3b55uv/12d5cqieAGAAC8zL+xRWbL2UOZ2eIv/8YWj1z/1VdfVWVlpa644gp9+OGHyszM1JYtW/Tyyy+rU6dO2rlzp/76179qw4YN2rNnjxYuXKjbbrtN3bp1U+vWrR3O9f7776uiokIjR470SK084wYAALzK5GNS+MCmOv7Wlir7hA9s4rH53Jo0aaL09HT97W9/04QJE3T48GFFR0fr8ssv17Rp0+Tn56fly5dr6tSpKioqUoMGDXTzzTfriSeecDrXjBkzdNNNNzm8jepOJtv5PpXnRvn5+bJYLMrLy1NYWFhNXx4AAFwAT39/u57HzV/hA5t4dB43I2HEDQAA1AqBqVEKSI6s8ZUTjITgBgAAag2Tj8ntU35cTHg5AQAAwCAIbgAAAAZBcAMAADAIghsAAIBBENwAAAAMguAGAABgEAQ3AAAAgyC4AQAAGATBDQAAXLJGjx4tk8kkk8mkOnXqKDY2Vn369NHMmTNltVrt/Ro1amTvZzablZCQoNtvv105OTkuz9uiRQv5+/srKyvLrfUS3AAAQK1htVq1e/du/fTTT9q9e7dDePKUfv366fDhw9qzZ48WL16snj176s9//rMGDBigiooKe79nn31Whw8f1r59+/T2229r9erVGjdunNP5vv76a5WUlOiWW27RnDlz3ForS14BAIBaYfPmzVqyZIny8/PtbWFhYerXr5+Sk5M9dl1/f3/FxcVJkurVq6f27dvryiuvVK9evTR79mzdcccdkqTQ0FCHfqNGjdK7777rdL4ZM2Zo+PDh6t69u/785z9r4sSJbquVETcAAOB1mzdv1rx58xxCmyTl5+dr3rx52rx5c43Wc/XVV6tNmzb66KOPXO4/ePCgFi1apLS0NIf2goICffDBBxo5cqT69OmjvLw8ffXVV26ri+AGAAC8ymq1asmSJWfts2TJkhq5bfprLVq00J49e+zbEydOVEhIiAIDA1W/fn2ZTCa99NJLDse89957SkpKUkpKisxms4YOHaoZM2a4rSaCGwAA8Kq9e/c6jbT9Vn5+vvbu3VtDFZ1is9lkMpns2w8//LAyMjK0ceNGffHFF5Kk/v37q7Ky0t5n5syZGjlypH175MiR+uCDD1RQUOCWmghuAADAqwoLC93az122bNmixo0b27ejoqJ02WWXKSkpSVdffbWmTp2qNWvWaOXKlZJO3e797rvv9Mgjj8jX11e+vr668sorVVxcrPfee88tNRHcAACAV4WEhLi1nzusWLFCP/30k26++eYq+5jNZklSSUmJpFMvJXTr1k0//vijMjIy7D/jx4932+1S3ioFAABelZiYqLCwsLPeLg0LC1NiYqJHrl9aWqqsrCxVVlbqyJEjWrJkiSZNmqQBAwbotttus/crKChQVlaWbDab9u/fr0ceeUTR0dHq3LmzysvLNXfuXD377LNKTU11OP8dd9yhl156ST///LNSUlJ+V62MuAEAAK/y8fFRv379ztqnX79+8vHxTGxZsmSJ4uPj1ahRI/Xr108rV67Uyy+/rI8//tg+qiZJTz31lOLj45WQkKABAwYoODhYS5cuVWRkpBYuXKjjx4/rxhtvdDp/y5Yt1bJlS7eMuplsNpvtd5+lmvLz82WxWJSXl6ewsLCavjwAALgAnv7+9tY8bkbCrVIAAFArJCcnq0WLFtq7d68KCwsVEhKixMREj420GRHBDQAA1Bo+Pj4Ob3LCEREWAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQBDcAAACD8PV2AYAkadsSaeN7UkWp1Kyf1Ha4ZK7j7aoAAKhVCG7wvi/+Kn31jzPb2z6TtiyUhn8g+TAoDADAaQQ3eEVxerryP/lUtpJ8hebMVUjcbzrsWC5lLpWa93N5vK3cqpO7cmWS5N80XCZfAh4A4OJHcEONO/raazr28iv27VxFKPwyP8V3yHPsuHu1y+B2cnuOTry/VdaiCkmST7Cv6t7aQgHNIjxaNwAA3sYwBWpU+cGDOvbvV53ac3cEq+T4b55pC45y6mctLtfxtzbbQ5skWYsqdPytLbKWVDj1BwDgYkJwg0cUFhYqOztblZWVju1r1khWq+tjDvuf2agTJLUZ5tSn+KdjspU5H28rq1TJpmO/r2gAAGo5bpXCrU6ePKmFCxdqy5YtstlsCgkJUZ8+fdSmTRtJkjkkpMpjzXVsp36JaCQN/JcUFm/fV5Sbo8KcE/IvNld5vLW0ssp9AABcDAhucKuFCxdq8+bN9u3CwkItWLBAERERatiwoUJ69pQ5IkKVOTkOx5kCAhT27FwpLFCKSZZMJklS+cmTWjr9FW379ivZrFZFhdXX1ZHDZZLJ8cImKbBFXY9/PgAAvIlbpXCbgoICbdmyxandZrNpw4YNkiSfgADVf+1V+cafGU0z162relP/Kd+kDlJsij20SdKK2dO19ZsvZfvl9uqx/APanPOt0zVCr24o36hAd38kAABqFUbc4DbFxcWy2Wwu9xUWFtp/D2rXTpctX6aS9HTZKisV1L69TH5++mbHMb26coe2HylQk6gQ3dG5vrZ8vdLpXJtyv5KpoZ+uaH29ZDIpsHWU/BuGeexzAQBQWxDc4DaRkZEKDg5WUVGR077ExESHbZPZrKCOHe3b3+w4pttmrlWl9VTwO1Z4Quv2nNC1deqpafkep/NlF+5T+MCm7v0AAADUctwqhdv4+vqqT58+Tu2RkZHq+KuQ5sorKzLtoe00m6Qfoju57N8gpdUF1wkAgFEx4ga3atu2rSIiIrR+/XoVFhaqUaNG6tChow5vLdSB7fsVGFJHza+MU1ik4/NoW7MKXJ4v2xwuH7OvrJVn5mgLi45VhwE3evRzAABQGxHc4HaJiYn2W6OVlVZ99upG7dt8wr5/w5K9uvbuVkpMjbS3NYkKVvq+3F+dxao64esUGrVR33T0UZOcGLU/Gq/EpFS16XOdgsIsNfRpAACoPbhVCo/a9l2WQ2iTpMpyq1a9s1XWX90avae74/Nq/vEfKSB+vsrr7NS2gkwt9l2nT1rvVccbBxPaAACXLIIbPGrPRterGRSeKNXxA2feNO2bEqdXh7dXi7hQ+fgdlZ9lg9MxPx79USv3O79lCgDApYLgBo+q41/1Sge+fo7/+/VvHa8lD3TTv0ZFSibX04r8dPQnt9YHAICRENzgUc2vjHPZHtMoTBFxwS73xQW7PkaSYoNj3VIXAABGRHCDRzVMjlTa9Y3l43tmNYSIuCD1vT25ymM6xHZQy7otndrD/cM1oMkAj9QJAIARmGxVTXXvQfn5+bJYLMrLy1NYGDPeXwqK88t0KDNXQWF1FH9ZuEwm01n7Hy0+qr9+91d9eeBLWW1WtYtpp8fTHleLui1qqGIAwG/x/e19BDfUagVlBaqwVigiIMLbpQDAJY/vb+9jHjfUaqF+od4uAQCAWoNn3AAAAAyC4AYAAGAQBDcAAACDILgBAAAYBMENAADAIAhuAAAABkFwAwAAMAiCGwAAgEEQ3AAAAAyC4AYAAGAQXlny6vTyqPn5+d64PAAAuACnv7e9sMw5fuGV4FZQUCBJatCggTcuDwAAfoeCggJZLBZvl3FJMtm8EJutVqsOHTqk0NBQmUymmr48AAC4ADabTQUFBUpISJCPD09beYNXghsAAACqj7gMAABgEAQ3AAAAgyC4AQAAGATBDQAAwCAIbsAlqEePHnrggQec2mfPnq3w8HBJ0tNPPy2TyaR+/fo59ZsyZYpMJpN69OjhtO/AgQPy8/NTamqqy2ubTCb7j8ViUZcuXbRixQr7/tWrV2vgwIFKSEiQyWTSggULLuQjAsBFieAGoErx8fFauXKlDhw44NA+c+ZMNWzY0OUxs2fP1pAhQ5Sfn6/vv//eZZ9Zs2bp8OHD+uabbxQVFaUBAwZo165dkqSioiK1adNGr776qns/DABcBAhuAKoUExOjvn37as6cOfa2NWvW6NixY+rfv79Tf5vNplmzZukPf/iDhg8frhkzZrg8b3h4uOLi4pSamqpp06appKREy5YtkyRde+21eu6553TjjTd65kMBgIER3ACc1dixYzV79mz79syZMzVixAj5+fk59V25cqWKi4vVu3dvjRw5Uu+9956KiorOev7AwEBJUllZmVvrBoCLEcENwFkNGDBA+fn5Wr16tYqKijRv3jyNHTvWZd8ZM2Zo6NChMpvNSk1NVZMmTfTBBx9Uee7i4mI98cQTMpvN6t69u6c+AgBcNLyyVikA46hTp45GjhypWbNmadeuXWrWrJlat27t1C83N1cfffSRvv76a3vbyJEjNWPGDI0ePdqh77Bhw2Q2m1VSUqLo6GjNmDHD5TkBAI4IbsAlKCwsTHl5eU7tubm5LheOHjt2rNLS0rRp06YqR9veeecdnTx5UmlpafY2m80mq9Wq7du3q1mzZvb2f/7zn+rdu7csFouio6Pd8IkA4NLArVLgEtS8eXOlp6c7taenpzsErNNSUlKUkpKiTZs2afjw4S7POWPGDE2YMEEZGRn2nx9//FFdu3bVzJkzHfrGxcXpsssuI7QBQDUx4gZcgu699179+9//1rhx43THHXfI399fn376qd59910tWrTI5TErVqxQeXm5fZ63X8vIyFB6errefvtttWjRwmHfsGHD9Oyzz+q5556Tr++5/8gpLCzUjh077Nu7d+9WRkaG6tatW+UUJABwqWDEDbgENWnSRKtXr9bWrVvVu3dvpaWlad68efrggw9cTrgrScHBwS5Dm3RqtC05OdkptEnSjTfeqOzsbH322WfnVdv69evVrl07tWvXTpI0fvx4tWvXTk899dT5fTgAuIiZbDabzdtFAAAA4NwYcQMAADAIghsAAIBBENwAAAAMguAGAABgEAQ3AAAAgyC4AQAAGATBDQAAwCAIbgAAAAZBcAMAADAIghsAAIBBENwAAAAMguAGAABgEP8PdTpyUC+GzK8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pp.neighbors(adata, n_neighbors=4)\n",
    "sc.tl.umap(adata)\n",
    "\n",
    "sc.pl.umap(\n",
    "    adata,\n",
    "    color=[\"tissue\"],\n",
    "    size=100,\n",
    "    palette=adata.uns[\"colors_tissue\"],\n",
    ")\n",
    "\n",
    "sc.pl.umap(\n",
    "    adata,\n",
    "    color=[\"mouse_id\"],\n",
    "    size=100,\n",
    "    palette=adata.uns[\"colors_mouse_id\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fed12e31",
   "metadata": {},
   "source": [
    "## Proteoform inference\n",
    "\n",
    "ProteoPy includes the core functionality of the COPF workflow: (1) compute pairwise peptide correlations between all peptides of a protein, (2) perform hierarchical clustering on the correlation distances, (3) cut each dendrogram into two clusters representing proteoform groups, and (4) score the between- vs. within-cluster correlation difference. Proteins require at least 4 peptides for meaningful clustering."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9cf0f468",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed 1770 proteins and 2984 peptides.\n"
     ]
    }
   ],
   "source": [
    "# Require ≥4 peptides per protein for COPF analysis\n",
    "pr.pp.filter_proteins_by_peptide_count(adata, min_count=4)\n",
    "pr.pp.remove_zero_variance_vars(adata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a5c373eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# COPF pipeline: correlate, cluster, score\n",
    "pr.tl.pairwise_peptide_correlations(adata)\n",
    "pr.tl.peptide_dendograms_by_correlation(adata, method=\"agglomerative-hierarchical-clustering\")\n",
    "pr.tl.peptide_clusters_from_dendograms(adata, n_clusters=2, min_peptides_per_cluster=2)\n",
    "pr.tl.proteoform_scores(adata, min_score=0.1, min_pval_adj=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "96db936d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove COPF outlier peptides (cluster_id == 1000000)\n",
    "copf_outliers = (adata.var[\"cluster_id\"] == 1000000)\n",
    "adata = adata[:, ~copf_outliers]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34223432",
   "metadata": {},
   "source": [
    "The pseudo-volcano plot shows proteoform scores vs. adjusted p-values (related to Figure 6B in Bludau et al. (2021)). The two highlighted proteins — Ldb3 (Q9JKS4) and Sorbs2 (Q3UTJ2) — are examined in detail below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "2e11160b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Proteoform Score', ylabel='adj. p-value'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bludauI_proteoforms = [\"Q9JKS4\", \"Q3UTJ2\"]\n",
    "pr.pl.proteoform_scores(\n",
    "    adata,\n",
    "    adj=True,\n",
    "    pval_threshold=0.1,\n",
    "    score_threshold=0.1,\n",
    "    highlight_prots=bludauI_proteoforms,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a3829467",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "65 significant proteoforms inferred.\n"
     ]
    }
   ],
   "source": [
    "pf_df = pr.get.proteoforms_df(adata, only_proteins=True)\n",
    "n_proteoforms = pf_df[pf_df[\"is_proteoform\"] == 1].shape[0]\n",
    "print(f\"{n_proteoforms} significant proteoforms inferred.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "103c871d",
   "metadata": {},
   "source": [
    "## Proteoform exploration\n",
    "\n",
    "ProteoPy also recovered the two exemplary proteins with proteoform groups highlighted in Bludau et al (2021): LIM domain-binding protein 3 (Ldb3, Q9JKS4) and Sorbin and SH3 domain-containing protein 2 (Sorbs2, Q3UTJ2)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43928958",
   "metadata": {},
   "source": [
    "### LIM domain-binding protein 3 — Ldb3 (Q9JKS4)\n",
    "\n",
    "Ldb3 is a muscle-specific protein. COPF assigns its peptides to two tissue-specific proteoform groups, consistent with known alternative splice variants (reproduces Figure 7A)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "8f50bdb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qPteoUaPKfioiUskq8nNa5Hx12WWXeToEQOtWzk8LFy7kxhtv5Pjx40XuT0xMJDExkc8//5y3336bMWPGeChCEd/RsGFDxo4di8lkolmzZmzYsIGxY8dy3333AUb196OPPuoef+edd9K7d293Mrpp06Zs3ryZt99+m3vuuYdatWphsVgIDQ0lJibG/bjXX3+dO++80/23ZJMmTXjvvffo3r07H374Ifv37+fnn39m8eLFdO3aFYAvv/yShg0b8uOPP3LLLbcQHR0NQK1atdzXfuedd0qNx+Xvz2PRokUUFBTw4Ycf0rhxYwBuvvlmPv/8c5KTkwkJCaFly5b07NmTefPmcdttt5Xr6/rHH3+wdetWZs6cSb169QDj7+WrrrqqXNcpK1Wki3ip6OhoLrvsMnr37l1kY4ekpCT38ak9Izds2MAVV1xBSEgI/fv3B4xKt+uuu474+HhCQ0OxWq3ExsYyZMiQYpVvp+uRfuocO3bs4LrrriMkJIRatWoxYsQI8vLyqvTrIOKryrKGweg/9+uvvwLGL1euX2aWL19OYmIiYPzyc9lll7k/XL/YgJE4P/WcEuki5ZeYmMh9991HbGwsAQEBREdHc9ttt7Fly5Yi4w4ePMjQoUNp06YNtWvXxt/fn1q1atGrVy9+/PHHImP//lbz77//nrZt2xIQEMDIkSMxmUxMmTLFPb5nz57aq0SkBH/vkf7999+773v44YeLjF2yZIn73K233uq+PysrixdeeIELL7yQoKAgwsLC6NGjh/tFaZc9e/a4H9+jRw8WLlxIly5dCAoKYuTIkVX+XEW8yYEDB7jhhhvcSfRu3brx3XffMWPGDHcRh8Ph4NFHH3X/Lisip9e5c+ci7Ve6dOnCjh073O1MOnToUGT8li1buPTSS4vcd+mllxZ5TEnWrVvH5MmTCQkJcX/069cPh8NBYmIiW7Zswc/Pj06dOrkfExkZSbNmzYr97luReP7+PACCg4PdSXSAOnXqEBcXR0hISJH7UlJSTjt/aXE1bNjQnUQH42tbVZRIF/FyNputyB/nF154YbExaWlp9OzZkz/++KNI36sZM2bwyy+/sGfPHrKysigoKGDfvn1MnjyZzp07l+ubVGpqKl26dOGXX34hOzub1NRUJk6cyCuvvHJWz0/kXHemNfzTTz+Rm5sLGK/Mn/qH/9dff10tMYqcz9asWUO7du34+OOP2bdvHzabjSNHjjB16lQ6duzIihUr3GP379/PpEmTWL9+PceOHcNut5Oamsq8efO48cYb+eyzz0qcY+HChdx8882sW7fO45tHifi6/v37ExERARhJdVd/WaDIW8LvuusuANLT0+natSsvvvgimzZtIi8vj8zMTBYsWMDVV1/N+PHjS5xnx44d9OvXj2XLlqlwRM5Lb731FqmpqQA0a9aM2bNnM2DAAPr168cnn3xSpAL16aefBorufXBqu4fT9TFfuHAht9xyC02aNCEiIgKr1Uq9evW49dZbWb9+fbGY1q5dS48ePQgKCqJBgwa8+OKL2O32Knn+ItWtst71lJWVxfDhw1m7dq37Y926dezYsaNIMruqlPQ8/P39i3xuMplKvM/hcFRpbJVBiXQRLzVlyhRMJhMBAQH861//Aoydid97771iY9PT07FYLHz00UfMnDnT3QKib9++TJw4kV9++YX58+czY8YM91tskpOTi/TjOpOMjAyioqKYNm1akeraiRMnns3TFDlnlXUNn9rW5eabb2bAgAHuSgUl0kUqzrUGT/1YsGBBkTFOp5PBgweTlpYGwKOPPsqsWbN48803sVgsZGVlMWTIEHeiLiYmhjfeeINp06bxxx9/MG/ePKZMmUJUVBTAaV9cTkxMpEOHDnz77bf8+OOPDBw4kEWLFhV5y+l7772nvUpEyiAgIICbb74ZMCpmly1b5j43bdo0wKisc62vZ555hg0bNgBw9dVXM336dD777DP3W9VHjx7N/v37i81z6NAhGjRowBdffMFvv/3GDTfcUJVPS8TrnFoI8uCDDxIQEFDk/KmtGzZs2OB+J2V5LFmyhO+++46dO3eSnp5OQUEBhw8f5ttvv6VLly5FqmN37txJjx49WLBgAXl5eRw8eJAXXnihSBwi3mz58uVFPl+2bBlNmjTBYrGUOL5FixYsXry4yH2LFy+madOm7sdYrdZi1ent2rVj8+bNJCQkFPuwWq20aNECu91eJJ5jx46xbds2WrZsedr4yxKPJ7Ro0YL9+/e7e8QDRX43qGzqkS7iQ4KCgsjMzCzx3BdffMEVV1xR5L4ePXrw6quv8s4777Bv3z531avLqlWryjX/V199Rdu2bbnpppv48ssv2bp1K0ePHiU9PZ3w8PDyPRmR89Df1/Dx48eZNWsWAPXr16dLly6YTCY6derEsmXLWL9+PVu2bKFFixaeClnknLZu3To2btwIQNu2bd2Jsq5du9KxY0eWLl3K5s2bWbNmDe3btycuLo6YmBjeffddNmzYQHp6epFq2B07dpCRkUFYWFiReUJCQpgxYwa1atUqcv+pbZouuugir+kFLeLt7rzzTndByHfffUeXLl1YsWIF+/btA+CWW27B398fh8PB//73P8BINowZM4aAgADCwsK46aabGD9+PDabjalTpxZLxpnNZn799VeaNWtWvU9OxAtkZmYWeYGpbdu2xca0atUKf39/CgoKANi0aVO55+nYsSP//e9/iY2NJTQ0FLvdzpo1a3jyySfJyclh7NixfPTRRwA8++yzpKenA3DxxRfz/PPPs3///irdVFCkMu3bt48xY8YwfPhw1qxZw3//+1/+85//nHb8o48+yiWXXMLLL7/MbbfdxtKlS3n//feLvJMqLi6OhQsXcvvttxMQEEDt2rV58skn6dy5M6NGjeLee++lRo0abN68mdmzZ/P+++/TpEkTrr/+eu677z4mTpxIaGgo//znP6lfvz7XX3/9WcXjCX369KFp06YMHjyYt99+m4yMDJ555pkqm0+JdBEv5dqosKCggD///JPnn3+effv2ceONN7J79+4im0kEBgYWS6IXFhbSp0+fUndSd1XglUVYWFiRX6AiIyOLXEeJ9OrjcDjYsWMHYPTONpv15iJvVJY1PG3aNPcfHzfddJO7Ev2WW25xv4r+1Vdf8dJLL3nseUjFaJ16nmsNnurBBx9k7dq17s+3b9/uPl67di3dunUr8Vpbtmyhffv2jB079owbqqWlpRVLpF966aXFkujiWVqjvq179+40bNiQ/fv3M23aNP7zn/+U2Nbl6NGj7tYUNpuNPn36lHi9knrCNmnSREl0D9M69ZyMjIwin7veeXUqk8lEZGSke/+fvz+mLDp37syiRYv46KOP2LVrFzk5OUXOuwq/HA5HkT7sX3zxhbtyNikpiVdffbXcc4tUt0GDBpGbm0vHjh2xWCw8/PDD/OMf/zjt+Hbt2jF16lSee+45Xn75ZerWrctLL71UpD3SSy+9xPDhw2ncuDH5+fk4nU5at27NggULeOaZZ+jWrRtOp5PGjRsX2cRz0qRJPPzww1xzzTXYbDYuv/xyfvvtt2LtVsobjyeYzWZ++OEHhg0bRseOHYmLi+O9997jyiuvrJL5lEgX8VKujQrB2IBsyZIlzJgxg9zcXH7++eci33BPrWhzWbx4sTuJXrduXd544w3i4+M5ePAgAwcOBChX/6maNWsW+dzP7+S3j1Or8UTEUJY1fGrrlv/+97/897//LXadb775Rol0kQo4dQ26VPRFX9f+I6eu0SeeeIJ+/fphtVp54IEH3K0jSvrZWqdOnQrNKyIlM5lM3HHHHbz55pvs3buXlStXutu6xMfHuzfuLqtT9xhy0bqV81loaGiRz48ePUrTpk2L3Od0Ojl27Jj78zp16hR5gbosBg4cyM8//3za867Cr5SUFLKysgCj//Kp7Sc6duxYrjlFPMXf3593332XDz/8sNi5PXv2lPiYAQMGMGDAgNNes3Pnzqxbt67Y/Zdccon7nc8lqVmz5mn39gGIiIgoMc9zpnhKeh733HNPsWT7Cy+8wAsvvFDkvlP3VTiTv8/TtGlTFi1aVOS+qspT6SVdER9x6jcB187pLqfu/Oxy8OBB9/Edd9zBoEGDTltpJyJV7+9r+PDhw8yfP/+Mj9u+fTtr1qypwshEzl+nJgW6d++O0+ks9pGdnc3w4cOBkz9bIyMjefPNN+nVqxcXX3xxkZ+5JSnp5zRQpLrSFzZXEvEmd955p/v4mWeeYffu3YDxe69rzdWuXdtdDBISEkJmZmaxNV5YWMikSZOKXf9061bkfBAWFkb9+vXdn7teLD7V5s2b3e+sBONdA6eum1P7Nh89erTY4/ft2+dOooeEhDB+/Hjmz59f5Pfjsvxs1FoVkeqkinQRL5WSksKff/6J3W5nyZIlzJ49233u79UAJYmNjXUfT5s2jcsuu4zU1FT++c9/Vkm8Un1MJpP7XQj6xdF7nWkNT5061f3HQZ8+fYr1o1u0aBFTp04FjPYu7dq1q77g5axpnfqGNm3acOGFF7Jx40YWLFjAoEGD3L2V9+zZw4oVK/jhhx/crSFiY2PZsWMHx44d44033qB169aMGzeu2AvcZXXqu72++OILLBYLFotFvdKrgdaod1m9enWJv6OW1vv4oosuonXr1qxfv77Iz1hXWxcwXqwaOHAg48ePJysri759+/LQQw9Ru3ZtDhw4wMaNG/n+++/59NNP6dGjR6U+Jzl7WqeedcMNN/DBBx8A8MEHHzBs2LAi70p+55133MeXX345jRo1KvLOL1fLF4AZM2YUu/6pL0L369eP+++/Hyh5k8Do6Ghq1KhBdnY22dnZRfYQ+vsGjiLi2xYtWuTeMLwkrneneIoS6SJe6vfff+f3338vdn+7du249tprz/j4Tp06uf+42LNnDzfeeCNg9GlNSUmp9Hil+phMpmKtdsT7nGkNX3755e77XP3pTtWtWzd3In3q1Km89dZb+iPSh2id+gaTycSUKVPo3bs3aWlpfP7553z++eenHf+Pf/yDxx9/HICnnnoKMCpemzVrxrZt28o9f8+ePd2JiEmTJrmrYtUyreppjXqXjRs3ujf+PdWIESNKfdydd97J+vXr3Z+3a9eO5s2bFxnz6quvsmjRIjZs2MDSpUtZunRp5QQtVU7r1LOeeOIJvvzyS9LS0tiwYQP9+vVj1KhRBAcH89133/Hpp58CRsvPl19+GYCEhAT349955x1CQkLYuXOne+ypTi38mjt3Ll999RUWi6XY/iZgvCh2zTXX8M033wBw99138+yzz3Lw4EHefffdynzaIlWiLO9EFkOHDh2K7GnkbdTaRcQHBAUFceGFF/LMM88wb968UjeAcLFYLEyfPp3rr7+e8PBwoqKiePjhh/n444+rIWIROdXf1/DBgwfd1TbBwcElbn7Wpk0bGjVqBBhvfV2yZEm1xixyvmjXrh1r165lxIgRXHDBBVitViIiIrjwwgsZMWIEc+bMcY8dPXo0r7zyCrGxsQQHB9OjRw/mzp1bZAPw8rjmmmv497//TePGjYtU+YlI2dxxxx1FWiSdWo3uEhERwdKlS3n55Zdp06YNQUFBBAcH06RJE26++Wa++uorOnfuXJ1hi/iERo0a8cMPP7hfzJg7dy433XQTV155pftvyoCAACZMmOAuEOnXr5/799fjx4/zyCOP8P777xd7gQugXr169O/fH4DU1FTuuOMObrvtttP+TH355Zfdm3mvXr2aG264gZEjR1KvXr3KfeIi4lFBQUEkJCSc9sPTTE6VvFSbjIwMwsPDSU9Pd/8AEBEpL6fTSW5uLmD8kFGVsoj30ToV8W5aoyLeT+vUOyQlJTFu3Dh+//13du/eTWZmpvvc3Llz6dmzZ5Hxf/31FyNHjmT16tVER0dz33330bVrV6644goABg8e7N5UMDU1ldGjRzN9+nTsdjvXXnst48aNo1atWoBRtX7qpoJr1qxh9OjRLF++nJo1azJ48GB69uzJlVdeWezaIn9X2Tm5vLw8EhMTiY+PJzAwsBIiFE8q67+nEunVSIl0EakMDoeDHTt2AMamPqdWYomId9A6FfFuWqMi3k/r1DutXbuWrl27kpuby6WXXsrcuXOxWq2eDkvkjJRIl9KU9d9TP4lEREREREREROSM2rZty4QJEwBYvHgxo0aN8nBEIiLVR80YRURERERERESkTAYNGkRBQQH79+8H4ODBg9SvX9/DUYmIVD0l0kVEREREREREpMyGDRvm6RBERKqdWruIiIiIiIiIiIiIiJRCiXQRERERERERERGR88T+/fsZOnQo9erVw2q1Ehsby8MPP8yxY8fcY5KTk7nnnnuoV68ewcHBXHnlle5NoF3i4uJ49913T/u50+nkscceIywsjPnz5wOwbt06rrvuOqKjowkMDCQuLo7bbruNlJSUYnEeO3aMBg0aYDKZSEtLK9NzO3z4MHfccQdNmzbFbDbzyCOPlPXLckZKpIuIiIiIiIiIiIhUs1ybHZvdwbGsfGx2Bzk2e5XPuXv3bjp06MCOHTv46quv2LlzJxMmTGDOnDl06dKF48eP43Q6ueGGG9i9ezc//fQTf/31F7GxsfTp04fs7OwyzVNYWMiwYcP47LPPmDdvHj169ODIkSP07t2bWrVqMXPmTLZs2cKkSZOoV69eidcdNmwYrVu3Ltfzy8/PJyoqin/961+0adOmXI89E/VIFxHxMSaTiaioKPexiHgfrVMR76Y1KuL9tE5F5FyXX1DIhAW7mbQkkYxcO2FBfgzpGs8DPRoT4G+psnlHjhyJ1Wpl1qxZBAUFAdCoUSMuvvhiGjduzDPPPMPo0aNZtmwZGzdupFWrVgB8+OGHxMTE8NVXX3HvvfeW/tzy8xk4cCCrVq1i0aJFNGvWDIDFixeTnp7Oxx9/jJ+fkZaOj4+nZ8+exa7x4YcfkpaWxnPPPcfvv/9e5ucXFxfHuHHjAPj000/L/LiyUEW6iIiPMZlM1KpVi1q1aumPChEvpXUq4t20RkW8n9apiPgSp9NJjs1e5o+svALGz9/FuDk7yMg1qtAzcu2Mm7OD8fN3kZVXUOZrOZ3OMsd5/PhxZs6cyQMPPOBOorvExMRw55138s0335Cfnw9AYGCg+7zZbCYgIIA///yz1DmysrLo378/mzdvZvHixe4kumsOu93ODz/8UGrcmzdv5qWXXuKzzz7DbPae9LUq0kVEREREREREREQqKLegkJbPzSzT2Fo1rPz5ZE8mLUks8fykJYkM734Bl705j+PZtjNeb/NL/Qi2li3Fu2PHDpxOJy1atCjxfIsWLUhNTSU6OppGjRrx1FNPMXHiRGrUqMHYsWM5cOAAhw8fLnWOl19+mdDQULZs2eJ+Z5FL586defrpp7njjjsYMWIEHTt2pFevXgwaNIg6deoAJ6vZ3377bRo1asTu3bvL9Nyqg/ek9EVEpEycTie5ubnk5uaW65VnEak+Wqci3k1rVMT7aZ2KyLkqKiSAY1k2dyX632Xk2jmebSMqJKDKYjjT99WAgAC+//57tm/fTq1atQgODmbevHlcddVVZ6wQ79u3L9nZ2bz22mslnn/11VdJSkpiwoQJtGrVigkTJtC8eXM2bNgAwFNPPUWLFi246667KvbkqpAq0kVEfIzT6WTfvn0ANGnSRG91FfFCWqci3k1rVMT7aZ2KiC8J8rew+aV+ZR7vZzYTFuRXYjI9LMiP6NBAfhjZtcxzl1VCQgImk4ktW7Zw4403FjvvqiKPiIigffv2rF27lvT0dGw2G1FRUXTq1IkOHTqUOkfv3r158MEHuf7663E4HO5+5aeKjIzklltu4ZZbbuG1117j4osv5t///jdTpkxh7ty5bNiwge+++w44mfSvXbs2zzzzDC+++GKZn29lUyJdREREREREREREpIJMJlOZ26sA5NrsDOkaz7g5O4qdG9I1HrvDUa7rlVVkZCRXXHEF48ePZ/To0UX6pCclJfHll18ycuTIIo8JDw8HjLYwq1at4uWXXz7jPH379uWXX37huuuuw+l08t577512rNVqpXHjxmRnZwMwbdo0cnNz3edXrlzJ0KFDWbRoEY0bNy7X861sSqSLiIiIiIiIiIiIVJMgqx8P9DCSwpOWJJKRaycsyI8hXeN5oEdjAspRZV5e77//Pl27dqVfv3688sorxMfHs2nTJh5//HGaNm3Kc889B8C3335LVFQUjRo1YsOGDTz88MPccMMN9O3bt0zz9OnTh19//ZVrr70Wh8PB+++/z6+//srXX3/N7bffTtOmTXE6nfzyyy/89ttvTJo0CaBYsvzo0aOA0b89IiKiTHOvXbsWMDY+PXLkCGvXrsVqtdKyZcsyPf50lEgXERERERERERERqUYB/haGd7+AkT0TyMwrIDTQH7vDUaVJdDDaZa1cuZIXXniBW2+9lZSUFJxOJzfddBOff/45wcHBABw+fJgxY8aQnJxM3bp1GTRoEM8++2yRazkcDvz8Tp9e7tWrF9OnT+eaa67B6XQyZswYgoODefTRR9m/fz8BAQE0adKEjz/+mLvvvrvSnuPFF1/sPl69ejX/+9//iI2NZc+ePWd1XSXSRURERERERERERKqZq31L5ImNRa2UvpFnZYmLi2Py5Mnuz59//nneeecd1q9fT+fOnQF46KGHeOihh057jcLCQo4dO0ZMTIz7vpIS1T169CArK8v9+UcffVSuWHv06FHuTaerapNqJdJFREREREREREREzlMvvvgicXFxLFu2jI4dO2I2l57QP3DgAJ999hmFhYVcdtll1RSl5ymRLiIiIiIiIiIiInIeGzJkSJnHtm3blsjISD7//PMiFenVoVWrVuzdu7fEcxMnTuTOO++ssrmVSBcR8TEmk4nIyEj3sYh4H61TEe+mNSri/bRORUS8l2sDUE/47bffKCgoKPFcnTp1qnRuJdJFRHyMyWSidu3ang5DREqhdSri3bRGRbyf1qmIiJQkNjbWY3NXTwd7EREREREREREREREfpYp0EREf43Q6sdlsAFitVr3VVcQLaZ2WgS0HLH6Qlw6B4VBoB2uwp6OS84TWqIj30zoVERFvo0S6iIiPcTqd7NmzB4AmTZrojwoRL6R1egb2PFj8LiyfCHlpEBgBnYZDtzHgF+jh4OR8oDUq4v20TkVExNt4tLXLCy+8gMlkKvLRvHlz9/m8vDxGjhxJZGQkISEhDBgwgOTk5CLX2LdvH/379yc4OJjo6Ggef/xx7HZ7kTHz58+nXbt2BAQEkJCQwOTJk4vF8sEHHxAXF0dgYCCdOnVixYoVRc6XJRYREREROQNbDix6Bxa8aSTRwbhd8KZxvy3Hk9GJiIiIiIiUyOM90lu1asXhw4fdH3/++af73OjRo/nll1/49ttvWbBgAYcOHeKmm25yny8sLKR///7YbDaWLFnClClTmDx5Ms8995x7TGJiIv3796dnz56sXbuWRx55hHvvvZeZM2e6x3zzzTeMGTOG559/njVr1tCmTRv69etHSkpKmWMRERERkTKw+BmV6CVZPtE4LyIiIiIi4mU8nkj38/MjJibG/eHalTs9PZ1PPvmEd955h169etG+fXsmTZrEkiVLWLZsGQCzZs1i8+bNfPHFF7Rt25arrrqKl19+mQ8++MDdS23ChAnEx8fzn//8hxYtWjBq1Chuvvlmxo4d647hnXfe4b777mPIkCG0bNmSCRMmEBwczKefflrmWERERESkDPLST1aiFzuXBnkZ1RmNiIiIiIhImXg8kb5jxw7q1avHBRdcwJ133sm+ffsAWL16NQUFBfTp08c9tnnz5jRq1IilS5cCsHTpUi666CLq1KnjHtOvXz8yMjLYtGmTe8yp13CNcV3DZrOxevXqImPMZjN9+vRxjylLLCXJz88nIyOjyIeIiIjIeS0w3OiJXuK5CAgMq85oRERERETOO/v372fo0KHUq1cPq9VKbGwsDz/8MMeOHXOPSU5O5p577qFevXoEBwdz5ZVXsmPHjiLXiYuL49133z3t506nk8cee4ywsDDmz58PwLp167juuuuIjo4mMDCQuLg4brvttiKdQVyOHTtGgwYNMJlMpKWllfn5laXNd0V4NJHeqVMnJk+ezIwZM/jwww9JTEykW7duZGZmkpSUhNVqJSIioshj6tSpQ1JSEgBJSUlFkuiu865zpY3JyMggNzeXo0ePUlhYWOKYU69xplhK8vrrrxMeHu7+aNiwYdm+MCIiIiLnqkK7sbFoSToNN86LiIiIiJwPbDlQaIPsI8ZtNewXtHv3bjp06MCOHTv46quv2LlzJxMmTGDOnDl06dKF48eP43Q6ueGGG9i9ezc//fQTf/31F7GxsfTp04fs7OwyzVNYWMiwYcP47LPPmDdvHj169ODIkSP07t2bWrVqMXPmTLZs2cKkSZOoV69eidcdNmwYrVu3LtfzK0ub74ryaBPKq666yn3cunVrOnXqRGxsLFOnTiUoKMiDkVWOp556ijFjxrg/z8jIUDJdREREzm/WYOj8ADgdsOL/jHYugRFGEr3bGPAL9HSEIiIiIiJVz54Hi9819gmqxt+JR44cidVqZdasWe78a6NGjbj44otp3LgxzzzzDKNHj2bZsmVs3LiRVq1aAfDhhx8SExPDV199xb333lvqHPn5+QwcOJBVq1axaNEimjVrBsDixYtJT0/n448/xs/PSEvHx8fTs2fPYtf48MMPSUtL47nnnuP3338v8/M7tc03QIsWLfjzzz8ZO3Ys/fr1K/N1SuLx1i6nioiIoGnTpuzcuZOYmBhsNluxsv3k5GRiYmIAiImJITk5udh517nSxoSFhREUFETt2rWxWCwljjn1GmeKpSQBAQGEhYUV+RAROVsmk4maNWtSs2ZNTCaTp8MRkRJonZYiPwumXAf12sJj2+GRDTBmM3T8h5LoUm20RkW8n9apiPgUpxNs2WX/yM+ERe/AgjdP7h+Ul2Z8vugd43xZr+V0ljnM48ePM3PmTB544IFiRcwxMTHceeedfPPNN+Tn5wMQGHjy93Oz2UxAQAB//vlnqXNkZWXRv39/Nm/ezOLFi91JdNccdrudH374AWcpcW/evJmXXnqJzz77DLO5fOnrM7X5PhserUj/u6ysLHbt2sXdd99N+/bt8ff3Z86cOQwYMACAbdu2sW/fPrp06QJAly5dePXVV0lJSSE6OhqA2bNnExYWRsuWLd1jfvvttyLzzJ49230Nq9VK+/btmTNnDjfccAMADoeDOXPmMGrUKIAyxSIiUl1MJpP7e56IeCet01Js/RWS1sGsZ6FZf1jwFmz7Dbo/efqWLyKVTGtUxPtpnYqITynIgdfqlW1scKRRTLJ8Ysnnl0+ESx+Gdy+CnGMljznV04fAWqNMU+/YsQOn00mLFi1KPN+iRQtSU1OJjo6mUaNGPPXUU0ycOJEaNWowduxYDhw4wOHDh0ud4+WXXyY0NJQtW7YQFRVV5Fznzp15+umnueOOOxgxYgQdO3akV69eDBo0yN1221XN/vbbb9OoUSN2795dpufmcqY232fTBcWjFemPPfYYCxYsYM+ePSxZsoQbb7wRi8XCwIEDCQ8PZ9iwYYwZM4Z58+axevVqhgwZQpcuXejcuTMAffv2pWXLltx9992sW7eOmTNn8q9//YuRI0cSEBAAwIgRI9i9ezdPPPEEW7duZfz48UydOpXRo0e74xgzZgz/93//x5QpU9iyZQv3338/2dnZDBkyBKBMsYiIiIhIGaz72rhtfTuYTFC7ifEHws4/PBuXiIiIiEh1CKkD2UdPVqL/XV4a5Bw1xlWR0qrBweiy8f3337N9+3Zq1apFcHAw8+bN46qrrjpjhXjfvn3Jzs7mtddeK/H8q6++SlJSEhMmTKBVq1ZMmDCB5s2bs2HDBsBold2iRQvuuuuuij25KuTRivQDBw4wcOBAjh07RlRUFJdddhnLli1zv1oxduxYzGYzAwYMID8/n379+jF+/Hj34y0WC7/++iv3338/Xbp0oUaNGgwePJiXXnrJPSY+Pp7p06czevRoxo0bR4MGDfj444+L9MS57bbbOHLkCM899xxJSUm0bduWGTNmFHn14kyxiIhUF6fTid1ubMbn5+ent7qKeCGt09PIOAS75xvHrW81bhP6wOznIHERFOSBv9q7SNXTGhXxflqnIuJT/IONyvCysvgbPdFLSqYHRkBoXbi3jIUm/sFlnjYhIQGTycSWLVu48cYbi513VZFHRETQvn171q5dS3p6OjabjaioKDp16kSHDh1KnaN37948+OCDXH/99TgcDsaNG1dsTGRkJLfccgu33HILr732GhdffDH//ve/mTJlCnPnzmXDhg189913wMmkf+3atXnmmWd48cUXS53/TG2+z4ZHE+lff/11qecDAwP54IMP+OCDD047JjY2tljrlr/r0aMHf/31V6ljRo0a5W7lUtFYRESqg9PpdL+1qUmTJvqjQsQLaZ2exoZvASc06gK14o37oltCaD3IPAT7lkDjXh4NUc4PWqMi3k/rVER8islU5vYqANhyjLaGC94sfq7TcCi0l+96ZRQZGckVV1zB+PHjGT16dJHEclJSEl9++SUjR44s8pjw8HDAaAuzatUqXn755TPO07dvX3755Reuu+46nE4n77333mnHWq1WGjduTHZ2NgDTpk0jNzfXfX7lypUMHTqURYsW0bhx4zPOfaY232fDq3qki4iIiMg5yuk8pa3LbSfvN5kgoTf89TnsnKNEuoiIiIic+6zB0G2Mcbx8olGZHhhhJNG7jQG/qnuX5vvvv0/Xrl3p168fr7zyCvHx8WzatInHH3+cpk2b8txzzwHw7bffEhUVRaNGjdiwYQMPP/wwN9xwA3379i3TPH369OHXX3/l2muvxeFw8P777/Prr7/y9ddfc/vtt9O0aVOcTie//PILv/32G5MmTQIoliw/evQoYPRvj4iIOOO8I0aM4P333+eJJ55g6NChzJ07l6lTpzJ9+vRyfJVKpkS6iIiIiFS9pA2QshksVmh1Q9FzCX2MRPqO2dDvVY+EJyIiIiJSrfwC4dJH4PLHIC8DAsOgsKBKk+hgvMtn5cqVvPDCC9x6662kpKTgdDq56aab+PzzzwkONlrFHD58mDFjxpCcnEzdunUZNGgQzz77bJFrORwO/PxOn17u1asX06dP55prrsHpdDJmzBiCg4N59NFH2b9/PwEBATRp0oSPP/6Yu+++u1KeX1nafFeUEukiIiIiUvXWf2PcNrsKgmoWPXdBDzBZ4Og2SNsHEY2qPTwRERERkWpnPdHfvEZt49ZirZZp4+LimDx5svvz559/nnfeeYf169fTuXNnAB566CEeeuih016jsLCQY8eOERMT475vz549xcb16NGDrKws9+cfffRRuWLt0aPHGTdHLekxZ2rzXRGlb7MqIiIiInK2Cu2wfqpx3Pr24ueDIqDBJcbxzjnVFpaIiIiIiMCLL77Ie++9x7Jly3A4HGccf+DAAd58800KCwu57LLLqiFC76CKdBERERGpWrvnQ3YKBEcabVxKktAH9i+DnX9AhyHVGp6IiIiIyPluyJCy/w7etm1bIiMj+fzzz4tUpFeHVq1asXfv3hLPTZw4kTvvvLPK5lYiXURERESq1voTm4xeOAD8TvN21YTeMO8V2L3A6A1p8a+++EREREREpMxcG4B6wm+//UZBQUGJ5+rUqVOlcyuRLiLig8qyU7WIeJbW6Qn5mbDlV+O4pLYuLnXbGhXrOcdg/wqIu7RawpPzl9aoiPfTOhURkb+LjY312NxKpIuI+Biz2Vzlr7KKyNnROj3F5p/BnguRTaB+u9OPM5uhcW/YMNVo76JEulQhrVER76d1KiIi3kabjYqIiIhI1XG1dWlzG5hMpY919U/f+UfVxiQiIiIiUgmcTqenQ5BKUNZ/RyXSRUR8jNPpxG63Y7fb9UNbxEtpnZ6QfgASFxnHF9165vGNexm3SeshM7nq4pLzntaoiPfTOhURb+bvb+znk5OT4+FIpDK4/h1d/66no9YuIiI+xul0smvXLgCaNGmC6UwVniJS7bROT1g/FXBC7GVQswy9DEOijF7ph9fCrrnQdmAVByjnK61REe+ndSoi3sxisRAREUFKSgoAwcHB+j7lg5xOJzk5OaSkpBAREYHFYil1vBLpIiIiIlL5nE5Yd0pbl7JqcoWRSN85W4l0EREREfFaMTExAO5kuviuiIgI979naZRIFxEREZHKd3gtHN0GfoHQ8vqyPy6hDyx826hIdxSCufSqEBERERERTzCZTNStW5fo6GgKCgo8HY5UkL+//xkr0V2USBcRERGRyrfuG+O22dUQGF72x9XvAAHhkJsKh/6CBh2qJj4RERERkUpgsVjKnIgV36bNRkVERESkchUWwIZvjeM2t5fvsRY/aNzDON75R6WGJSIiIiIiUlFKpIuIiIhI5do1F3KOQo0oaNyr/I9P6GPcKpEuIiIiIiJeQol0EREREalc674ybi+8GSz+5X98497G7cHVkHO88uISERERERGpICXSRUR8UFhYGGFhYZ4OQ0RKcd6u07x02PqbcVzeti4u4fUhuiU4HbB7XuXFJnKK83aNivgQrVMREfEm2mxURMTHmM1m6tat6+kwRKQU5/U63fwTFOZDVHOo26bi10noDSmbYeccuHBA5cUnwnm+RkV8hNapiIh4G1Wki4iIiEjlWfe1cdv6NjCZKn6dU/ukO51nH5eIiIiIiMhZUCJdRMTHOJ1OHA4HDocDp5JLIl7pvF2nqXth72LABK1vPbtrNeoC/sGQlQzJGyslPBGX83aNivgQrVMREfE2SqSLiPgYp9PJjh072LFjh/6oEPFS5+063TDVuI3vBuENzu5afgEQf7lxvPOPs7uWyN+ct2tUxIdonYqIiLdRIl1EREREzp7TebKtS5uBlXNNV3uXHUqki4iIiIiIZymRLiIiIiJn7+AaOLYT/IKgxbWVc01XIn3/MsjLqJxrioiIiIiIVIAS6SIiIiJy9tZ9Zdy2uAYCQivnmrXioVZjcNghcWHlXFNERERERKQClEgXERERkbNjt8HGacZxm9sr99quqnT1SRcREREREQ9SIl1EREREzs7OPyD3OITUgfgelXttdyJ9jtGHXURERERExAOUSBcRERGRs+Nq63LRLWDxq9xrx10KlgBI3wdHd1TutUVERERERMpIiXQRER8UEhJCSEiIp8MQkVKcN+s0NxW2zzCOK7utC4C1BsR2NY7V3kUq0XmzRkV8mNapiIh4k0ouGRIRkapmNpupX7++p8MQkVKcV+t00w9QaIPoVhBzUdXMkdAHds8zEuldHqiaOeS8cl6tUREfpXUqIiLeRhXpIiIiIlJx674xbquiGt3F1Sd972IoyK26eURERERERE5DiXQRERERqZjju2H/MjCZjf7oVSWqGYQ1AHse7FlcdfOIiIiIiIichhLpIiI+xuFwsG3bNrZt24bD4fB0OCJSgvNmna6fatzGd4ewulU3j8kECb2NY/VJl0pw3qxRER+mdSoiIt5GiXQRERERKT+nE9Z9bRy3GVj187nau+ycXfVziYiIiIiI/I0S6SIiIiJSfvtXQGoi+NeAFtdU/XwXdAezHxzbCccTq34+ERERERGRUyiRLiIiIiLlt/5ENXrL68Bao+rnCwyHhp2M411zqn4+ERERERGRUyiRLiIiIiLlY8+Hjd8bx61vq7553X3SlUgXEREREZHqpUS6iIiIiJTP9pmQlwahdSH+8uqb19UnffcCsNuqb14RERERETnvKZEuIiIiIuWz/hvjtvWtYLZU37x1LoIa0VCQDfuXVd+8vsaWA4U2yD5i3NpyPB2RiIiIiIjPUyJdRMQH1ahRgxo1qqEnsYhU2Dm7TnOOGxXpAK1vr965zeZT2rv8Ub1z+wp7Hix+F95uAm8nGLeL3zXulyLO2TUqcg7ROhUREW/i5+kARESkfMxmMw0aNPB0GCJSinN6nW6cBo4CiGkNdVpW//wJfWDdV0af9Cteqv75y8uWAxY/yEs3NkwttIM1uOrmWvwuLHjz5H15aSc/v/SRqpvbx5zTa1TkHKF1KiIi3kaJdBEREREpO1dblzbVXI3uckFPwATJGyHjMITV9UwcZeGqDl8+0UhoB0ZAp+HQbQz4BVbsmgW5kJta/KMgD9rdbcxVkuUT4fLHKvhEREREREREiXQRERERKZujO+HASjCZ4cKbPRNDjUio3w4OroZdc+DiuzwTx5mcqTq8y8gTSfC0khPjf78/78Tnp2vREt0SmvYzxpUkLw3yMqBG7Up6giIiIiIi5xcl0kVEfIzD4WDnzp0AJCQkYDZruwsRb3POrlNXNXrj3hBax3NxJPQxEuk7//DeRLrFr/Tq8Esfhv/rBTnHyn9tsx8E1TQq3INqGh/hDSEk2rivpGR6YAQEhIDTCSZT+ec8x5yza1TkHKJ1KiIi3kaJdBERH+R0Oj0dgoicwTm3Th0OWP+1ceypti4uCX2Myu5dc42e4xYv/JU2L7306vCcoxDeCCwBJ5PhQREnPmqW/mENKTkZbssxWsecWgXv0vE+44WHNZ9D/3cgvH7lPVcfdc6tUZFzkNapiIh4Ey/8q0NEREREvM7+ZZC2D6yh0Oxqz8ZSr93JyuuDq6FRJ8/GU5LA8NKrw0PrwvD5lTunNdjovw7F+7J3GQWTroTkTbB3ibFRa7vBoApPEREREZEy0W/OIiIiInJm605Uo7e83kjYepLFDxr3NI53/uHZWE6n0G4ksEvSabhxvir4BcKlj8DjO+DxXcbtpQ9DYBgM+BTqd4D8DPj1EfjsOji+u2riEBERERE5xyiRLiIiIiKlK8iDTT8ax21u82gobglXGLfemki3+EOnEXD540ZVOBi33Z80qsar8sUIazBYrMbGohYrWGsY90c3h2GzoN/r4B8MexbB+K6w5H1wFFZdPCIiIiIi5wC1dhERERGR0m3/HfLTIawBxF7m6WgMCb2N20N/QfZRI2nsTVZ+DKs+hb6vwuVPGFXggWFQWGBUjXuK2QJdHoBmV8EvD0HiQpj1DGz6Hq57H+q09FxsIiIiIiJeTBXpIiIiIlK6dd8Yt61v9Z6e2qExUOciwAm75nk6mqKyj8K81+Hodsg8BH4lVId7Wq14GPQzXPseBIQZveYnXg7z3wC7zdPRiYiIiIh4HS/5S0hERMojKCiIoKAgT4chIqU4Z9Zp9lHYOds4bnO7Z2P5O1dVure1d5n7ilHBH9MaLr7b09GcnskE7QfDyOXGBrKOApj/OnzU3Uisn+POmTUqcg7TOhUREW+iRLqIiI8xm800atSIRo0aYfaWylARKeKcWqcbp4HDDvUuhqhmno6mqIQ+xu2uOeBweDYWl8PrYfVk4/iqN41WKt4urB7c/j+4+VMIrg0pm+HjPjDrX2DL8XR0VeKcWqMi5yitUxER8Tb6aSQiIiIip7fua+O2tZdVowM07ATWEMg+AknrPR0NOJ0w45+AE1rdBLFdPR1R2ZlMcOEAGLkCLroFnA5Y8l+YcCns+dPT0YmIiIiIeJwS6SIiIiJSsiPb4dAaMPsZSVZv42eF+O7GsTe0d9n8I+xdDH5BcMVLno6mYmpEwoCPYeA3EFoPju+Gyf3h19GQl+Hp6EREREREPEaJdBERH+NwONi5cyc7d+7E4S2tDESkiHNmna4/UY2e0AdCojwby+l4S590Ww7MetY4vuwRiGjo0XDOWrMrYeQyaD/E+HzVpzC+M2yf5dm4Ksk5s0ZFzmFapyIi4m2USBcR8UGFhYUUFhZ6OgwRKYXPr1OHA9ZPNY69bZPRU7kS6ftXQG6a5+JY8l9I3w/hDaHrQ56LozIFhsO178LgX6BmPGQchP/dAtPug+xjno7urPn8GhU5D2idioiIN1EiXURERESK27vYSAwHhEPTqzwdzenVjIPIJuAshMQFnokh/QD8OdY4vuIlsAZ7Jo6qEn853L8EuowCkxk2TIUPOsLG742+8CIiIiIi5wEl0kVERESkOFdbl1bXg3+gZ2M5k4Q+xq2n2rvMfg7suRB7KbS60TMxVDVrMPR7FYb9AdEtIecofDcEvr4TMg4bY2w5UGgzNn8ttBmfi4iIiIicI5RIFxEREZGibDmw6SfjuM1Az8ZSFu5E+pzqr5DeuwQ2TgNMcOUbYDJV7/zVrUF7+McC6P5PMPvDtulGMj0/Exa/C283gbcTjNvF74I9z9MRi4iIiIhUCiXSRURERKSobb+BLRMiGkHDzp6O5sziLgW/QKOH95Gt1TevoxB+f9I4bj8Y6rauvrk9yc8KPZ+C4QugXju4/FFYPA4WvAl5acaYvDTj80XvqDJdRERERM4JSqSLiIiISFHrTrR1aX0bmH3g10X/IIi7zDiuzvYuf30BSeuNPvK9nq2+eb1FnVZw7x/QuDes+L+SxyyfCBa/6o1LRERERKQKeM1fRm+88QYmk4lHHnnEfV9eXh4jR44kMjKSkJAQBgwYQHJycpHH7du3j/79+xMcHEx0dDSPP/44dru9yJj58+fTrl07AgICSEhIYPLkycXm/+CDD4iLiyMwMJBOnTqxYsWKIufLEouISHUJDAwkMNDLexaLnOd8dp1mpcCuucZx69s9G0t5VHef9Lx0mPOScdzjn1CjdvXM623MFuPdC65K9L/LS4O8jOqMqMx8do2KnEe0TkVExJt4RSJ95cqVTJw4kdati74ddvTo0fzyyy98++23LFiwgEOHDnHTTTe5zxcWFtK/f39sNhtLlixhypQpTJ48meeee849JjExkf79+9OzZ0/Wrl3LI488wr333svMmTPdY7755hvGjBnD888/z5o1a2jTpg39+vUjJSWlzLGIiFQXs9lMbGwssbGxmH2hUlTkPOTT63TDd+AshPodoHaCp6MpO1cife8SsGVX/XwL3jI23KzdFDreV/XzebPAcAiMOM25CAgMq85oysSn16jIeULrVEREvI3J6azuHZmKysrKol27dowfP55XXnmFtm3b8u6775Kenk5UVBT/+9//uPnmmwHYunUrLVq0YOnSpXTu3Jnff/+da665hkOHDlGnTh0AJkyYwJNPPsmRI0ewWq08+eSTTJ8+nY0bN7rnvP3220lLS2PGjBkAdOrUiUsuuYT3338fAIfDQcOGDXnwwQf55z//WaZYyiIjI4Pw8HDS09MJC/O+PyhEREREmNDNaFdy9b99K0HsdMK41pC2D+6YCk37Vd1cR3fA+M7gsMNd004m8c9XthxjY9EFbxY/d/nj0PJ6qN3M6K0uIiIi4gHKyUll8PjLuiNHjqR///706VP0D5DVq1dTUFBQ5P7mzZvTqFEjli5dCsDSpUu56KKL3El0gH79+pGRkcGmTZvcY/5+7X79+rmvYbPZWL16dZExZrOZPn36uMeUJRYRERERn5eyxUiim/3hwgGejqZ8TKbqa+8y4ykjid70SiXRAazB0G0MdH/yZGV6YARc/gR0GgHfDYVP+8KxXZ6MUkRERETkrHh055+vv/6aNWvWsHLlymLnkpKSsFqtREREFLm/Tp06JCUlucecmkR3nXedK21MRkYGubm5pKamUlhYWOKYrVu3ljmWkuTn55Ofn+/+PCPDO/tDiohvcTgcJCYmAhAfH6+3uop4IZ9dp65NRpv0heBano2lIhL6wKpPYcfsqptj+yzYOdt4saHfa1U3j6/xC4RLH4HLHzN6ogeGQWEB7Ftu9N3PSzPe7dD/39BmoPHChwf57BoVOY9onYqIiLfx2E+i/fv38/DDD/Pll1+es5uHvP7664SHh7s/GjZs6OmQROQcYbfbi22sLCLexefWqaMQDv0FwZHQxoc2GT1V/OVg9oPUxKqpfrbbYOZTxnHn+yGyceXP4cuswWCxGhuvWqxgrQEJveD+JRB7GRRkw4/3w7RhxmatHuZza1TkPKR1KiIi3sRjifTVq1eTkpJCu3bt8PPzw8/PjwULFvDee+/h5+dHnTp1sNlspKWlFXlccnIyMTExAMTExJCcnFzsvOtcaWPCwsIICgqidu3aWCyWEseceo0zxVKSp556ivT0dPfH/v37y/bFEREREalOthyjVcl1/4VHNkDjXp6OqGICQqFRF+N455zKv/6KiXBsJ9SINnp/S9mE14fBP0OvZ8FkgY3TYMJlRrW6iIiIiIiP8FgivXfv3mzYsIG1a9e6Pzp06MCdd97pPvb392fOnJN/BG3bto19+/bRpYvxB1KXLl3YsGEDKSkp7jGzZ88mLCyMli1buseceg3XGNc1rFYr7du3LzLG4XAwZ84c95j27dufMZaSBAQEEBYWVuRDRERExKvY84yNIv/d1Nis852WsOQ9435flNDbuK3sPulZKbDgLeO4z/NG6xIpO7PFaPsybBZExBqbwk66Cua/abwbQkRERETEy3msR3poaCgXXnhhkftq1KhBZGSk+/5hw4YxZswYatWqRVhYGA8++CBdunShc+fOAPTt25eWLVty991389Zbb5GUlMS//vUvRo4cSUBAAAAjRozg/fff54knnmDo0KHMnTuXqVOnMn36dPe8Y8aMYfDgwXTo0IGOHTvy7rvvkp2dzZAhQwAIDw8/YywiIiIiPseWYyTRF7x58r68tJOfX/qI0a7DlyT0gT9egD2LoCAP/CupheCclyA/A+q2hTZ3VM41z0cNOsCIP2H6o7BhKsx/DXbPh5s+ggi1QRQRERER7+XRzUbPZOzYsZjNZgYMGEB+fj79+vVj/Pjx7vMWi4Vff/2V+++/ny5dulCjRg0GDx7MSy+95B4THx/P9OnTGT16NOPGjaNBgwZ8/PHH9OvXzz3mtttu48iRIzz33HMkJSXRtm1bZsyYUWQD0jPFIiIiIuJzLH6wfGLJ55ZPNCqIfU2dCyGkDmQlw76l0Ljn2V/z0F/w1xfG8VVvgTa8OzuBYTDg/4wXPaaPgX1LYMKlcO170OoGT0cnIiIiIlIik9PpdHo6iPNFRkYG4eHhpKenq82LiFSYw+Fgx44dADRp0gSzEjoiXsdn1mn2EXg74fTnH99lbBzpa358ANZ+CV1GQb9Xz+5aTid8eiXsXwYX3WokgKXyHN8N0+6Fg6uNz9sNgivfMDYqrUI+s0ZFzmNapyJSmZSTk8qgn0QiIj7IarVitVo9HYaIlMIn1mlgOARGnOZchO/2AU/oY9xWxoajG6cZSXT/YOjzwtlfT4qqdQEMnQndHgVMsOYzmHg5HFpb5VP7xBoVOc9pnYqIiDdRIl1ExMeYzWbi4+OJj49XZY6Il/KZdZq6FzreV/K5TsOh0F698VSWC3qAyQxHtkD6gYpfx5YNs58zjruNgfD6lRKe/I3FH3o/B4N/htB6cGwnfNwHlrwPDkeVTOkza1TkPKZ1KiIi3kY/jURERETOR0d3wLdDodMI6P7Eycr0wAjo/qSROPa1jUZdgmtB/Q7G8dlUpf/5LmQchIhGRpsYqVrxl8P9i6H5NeAogFnPwJc3Q2aypyMTEREREVEiXUREROS8U1gA3/8DktfDH8/DpY/A4zuMnuiP74BLHwa/QE9HeXbc7V3+qNjjU/fCkveM476vgH9Q5cQlpQuuBbd9Af3fMf4P7poDH3aF7bM8HZmIiJxncm12bHYHx7Lysdkd5Nh89J16IlJplEgXEfExDoeDxMREEhMTcVTRW95F5Ox4/Tpd9B84tMbokd7jaWNjR4vV2FjUYq3yjR6rhSuRvnu+8cJBec1+Dux5ENcNWlxXqaHJGZhMcMkw+McCqHMh5ByF/90Cv/8TCvIqZQqvX6MionUqHpVfUMiEBbvp8Ops2r/yBx1enc3EBbvJLyj0dGgi4kFKpIuI+CCbzYbNZvN0GCJSCq9dpwdXw4K3jOOr/3Pu9v2u1xaCakF+BhxYWb7HJi6CzT8afdavfMNI7Er1i24O984x2g8BLP/Q6J1+ZFulXN5r16iIuGmdiifk2uyMn7+LcXN2kJFrVKFn5NoZN2cH4+fvUmW6yHlMiXQRERGR84UtB74fDs5CaHUjXHSzpyOqOmYLNO5lHJenvYujEGb80zjuMBRiLqz82KTs/APhqjfhjqkQXBuSN8DE7rDqU3A6jf/ThTbIPmLc2nI8HbGIiPg4i9nMpCWJJZ6btCQRP21+K3Le0uoXEREROV/88QIc2wEhMUYP6nO90roifdJXT4bkjcamqz2fqYqopCKa9jM2Ir2gJ9hzYdmHkJcOi9+Ft5vA2wnG7eJ3jZY8IiIiFZSZV+CuRP+7jFw7mXkVaBknIucEP08HICIiIiLVYNdcWDHROL7+A2NTx3OdqyL98DrISoGQ6NLH56bC3FeM455Pnx9fI18SGgN3fQ/LPoBaCbD0fVj49snzeWmw4E3j+NJHwBrsiShFRMTHhQb6ExbkV2IyPSzIj9BAfw9EJSLeQBXpIiIiIue63FT4caRxfMm90KSPZ+OpLqF1IKa1cbxr7pnHz38Tco9DVAvoMKxqY5OKMZuh64OQ0AtW/F/JY5ZPBIvqhUREpGIKHQ6GdI0v8dyQrvHYtfmtyHlLiXQRERGRc930xyDzENRqDFe85OloqldZ27ukbIUVHxnHV76uRKy3y88wKtBLkpcGeRnVGY2IiJxDgqx+/OPyC3iwVwJhQcbvA2FBfjzcuwkP9GhMsFW/I4icr7T6RUR8kJ+fvn2LeDuvWacbp8HG78BkgZs+AmsNT0dUvRL6wJ/vwM45xkaiZkvxMU6nscGosxCa9YfGPas/TimfwHCjj31JyfTACAgMO+MlvGaNishpaZ2Kp3y8aDcX1Q9n2VO9OZ5to3ZIAA6nkwD/En6PEJHzhn4qiYj4GLPZTOPGjT0dhoiUwmvWacYh+HWMcdztUWjQwbPxeELDjhAQZrRsObwW6rcvPmbb77B7Hlis0O+Vag9RKqDQDp2Gn+yJfqpOw43zFutpH+41a1RETkvrVDzF6XTyzcr9HErPo1N8LdJyCujdIponrmzu6dBExMPU2kVERETkXOR0wk+jjIrdum2h+xOejsgzLP5wQXfjeOec4uft+TDzaeO4y0iodUH1xSYVZw2GbmOg+5NGBToYt92fNO7XRqMiIlJBWw5ncig9jyB/C71bRLMtOZPdR7I9HZaIeAFVpIuIiIici1Z+DLvmgF+g0dLF4u/piDwnoQ9s+QV2zC7+gsKyDyE1EUJijKp98R1+gXDpI3D5Y0ZP9MAwKCww7hcREamguVuTAbg0oTaxkUZLvMMZeZ4MSUS8hBLpIiI+xuFwsH//fgAaNmyI2aw3F4l4G4+v06M7YdazxnGfFyCqWfXO720a9zZuD66CnOMQXMv4PDMJFr5tHPd5AQJCPRKenAVX5XmN2sZtKe1cTuXxNSoiZ6R1Kp4yZ2sKAL1bRFM33HhxNik915MhValcmx2L2UxmXgGhgf7YHQ5tqCpyGloZIiI+KC9PFREi3s5j67TQDj/8A+y5EN8dOg73TBzeJKIhRDWHI1th93y48Cbj/jkvgS3L6Jve+jaPhijVTz9LRbyf1qlUt6NZ+azdnwZAr+bRmEzG/SmZ+RQUOvC3nFsv6OQXFDJhwW4mLUkkI9dOWJAfQ7rG80CPxtpYVaQE59Z3ABEREZHz3aL/wMHVEBAON4wHVfAZEvoYt64+6QdXw9ovjeOr3tLXSURERJi3NQWnEy6qH06dsEBq1wjAz2zC6YQjmfmeDq9S5drsjJ+/i3FzdpCRawcgI9fOuDk7GD9/Fzk2u4cjFPE++otBRERE5FxxcA0seNM47v9vCG/g2Xi8SYKrvctqcDhg3mvG520GQoMOnotLREREvMbcE21dejWPBsBsNlEn7ER7l3OsT7rFbGbSksQSz01akoifigxEilFrFxEREZFzQUEu/DAcnIXQ8ga46BZPR+RdGl0KA7+G+Msh6zDc+hkkLoIG7T0dmYiIiHgBm93Bwu1HAKM/ukvd8EAOpuWSlH5uJdIz8wrcleh/l5FrJzOvgMiQgGqOSsS7KZEuIiIici744wU4uh1CYuCasbibeorB5DQq9n8YAXlpEBgBnf4BjXt4ODARERHxBssTj5FtKyQqNIAL64W77485seHo4XMskR4a6E9YkF+JyfSwID9CA/09EJWId9P7NERERER83a55sHyCcXz9+xBcy7PxeBtbDix6Bxa+ZSTRwbhd8JZxvy3Hk9GJiIiIF5izxWjr0rt5NGbzyYKEuicS6UnpuR6Jq6oUOhwM6Rpf4rkhXeOxOxzVHJGI91MiXUTEB1ksFiwW7aIu4s2qbZ3mpsKPDxjHHYZBkyuqfk5fY/GD5RNLPrd8onFezjv6WSri/bROpbo4nU7mbE0GTvZHd3H1SD/XKtKDrH480KMxD/VKICzI+F0oLMiPh3s34YEejQm26vcjkb/TqhAR8TFms5mEhARPhyEipajWdfrb45B5CGo1hr4vV8+cviYv/WQlerFzaZCXATVqV2dE4mH6WSri/bROpTrtTMli//FcrH5mLmtS9HeCuuFBAOdcj3SAAH8L7WNrMqJHY7LzCwkP8sfucBDgrxewREqiinQRERERX7Xxe9jwLZjMcONEsNbwdETeKTDc6Ile4rkICAyrzmhERETEy8zZarR16do4slgl9rnaIx3gQGoOgyetpMfb8wkJtGD1M6sSXaQUSqSLiIiI+KKMw/DraOO426PQ8BLPxuPNCu3QaXjJ5zoNN86LiIjIeWvuKf3R/87VIz05Iw+Hw1mtcVW1VXtSAagbEUSQvxLoImeiVSIi4mMcDgcHDhwAoEGDBpjNek1UxNtU+Tp1OuGnkUZbkrptoPuTlXv9c401GLqNMY6XTzS+boERRhK92xjwC/RkdOIB+lkq4v20TqW6pOXYWLX3OAA9S0ikR4UGYDaB3eHkaHY+0aHnzu8NK/YYz/uS2JoejkTENyiRLiLig3Jzz60d40XORVW6Tld9ArvmgCUAbvwILP5VN9e5wi8QLn0ELn/M6IkeGAaFBUqin8f0s1TE+2mdSnWYv+0IDic0jwmlQc3gYuf9LWaiQgNIzsgnKT3vnEqkr3Il0uNreTgSEd+gl3RFREREfMnRnTDzX8bxFS9CdHPPxuNLrMFgsRobi1qs6ikvIiIi7v7ovVsUr0Z3iTmx4ei51Cc9NdvG9uQsADqoIl2kTJRIFxEREfEVhXb44R9gz4X47tDxNH2/RUREROSMCgodLNhmJNJ7Na9z2nF1w4wq9KRzKJG+eq/RH71xVA0iQwI8HI2Ib1AiXURERMRX/PkOHFwNAeFww3hQv1gRERGRClu9N5WMPDu1alhp2zDitONiTmw4ei5VpK90tXWJU1sXkbLSX18iIiIivuDQX7DgTeP46rchvIFn4xERERGPyrXZsdkdHMvKx2Z3kGOzezoknzNnSzIAPZpFYTGbTjuubrirIv3c6duvRLpI+WmzURERERFvV5AL3/8DHHZoeT20vtXTEYmIiIgH5RcUMmHBbiYtSSQj105YkB9DusbzQI/GBPhbPB2ez3D1R+/T4vRtXeDcq0jPKyhkw8F0QIl0kfJQIl1ExAeZTKevlhAR71Cp6/SPF+HodgipA9e8C/oeIHLW9LNUxPtpnZYs12ZnwoLdjJuzw31fRq7d/fnw7hcQbFW650wSj2az+0g2fmYT3ZrULnVs3RObjSZlnBuJ9LX70ygodBIdGkDDWkGeDkfEZ+g7q4iIjzGbzTRt2tTTYYhIKSp1ne6aB8s/NI6v/wCCVTUkcrb0s1TE+2mdnp7FbGbSksQSz01aksjIngnVHJFvcrV16XRBLUID/UsdW/eUinSn0+nzL/KscrV1ia/l889FpDqpR7qIiIiIt8pNg59GGscdhkKTKzwajoiIiHheZl4BGbkl90PPyLWTmVdQzRH5prkn2rr0bl56WxeA6LAAAGx2B6k5vv/1XbEnFYBLYmt6OBIR36JEuoiIiIi3+u1xyDgItS6Avq94OhoRERHxAqGB/oQFldxgICzI74zV1QIZeQWsSDSqsnu3iD7j+AA/C7VDrAAc9vENRwsdTtbsPZFIj9c7HUXKQ4l0EREf43A4OHDgAAcOHMDhcHg6HBEpQYXXqS0HCm2QfQTsedDqeohqDjd+BNYaVRewyHlGP0tFvJ/W6ekVOhwM6Rpf4rkhXeOx6+t1Rou2H8XucNI4qgaxkWX7Hcu14WiSj284uuVwBln5dkID/GgeE+bpcER8inqki4j4oOzsbE+HICJnUO51as+Dxe/C8omQlwaBEdDxPhg2GwL1R45IZdPPUhHvp3VasiCrHw/0aAwYPdEzcu2EBfkxpGs8D/RoTIC/xcMRej9Xf/TeLc7c1sUlJiyIjQczfH7DUVd/9HaxNbGY1R9dpDyUSBcRERHxNFuOkURf8ObJ+/LSYOHbYDLDpY+ANdhDwYmIiIi3CfC3cFO7+gzvfgHHs21E1gjAiVNJ9DIodDiZt83VH/3MbV1c6p4jFekrXf3R49QfXaS8lEgXERER8TSLn1GJXpLlE+Hyx6o3HhEREfF6v29M4qOFu4kKCSAzr4DF/+zl6ZB8wtr9qaTmFBAW6Ef7cmy26WrtctiHE+lOp5OVJyrSL4lTf3SR8lIiXURERMTT8tKNCvQSz6VBXgbUqF2dEYmIiIiXO5SWy/FsG8ezbQCk5hRQq4bVw1F5vz+2GNXoPZpF42cp+9aB50JF+r7jOaRk5uNvMdGmYYSnwxHxOdpsVERERMTTAsONnuglnotQj3QREREp5mBqbqmfS8nmnkik925R9rYucGpFuu9+nV1tXVo3iCBQbYBEyk2JdBERERFPK7RDp+Eln+s03DgvIiIicoqDaUZC12RyfZ7jwWh8w/7jOWxLzsRiNtG9aVS5HhsTdrK1i9PprIrwqtzKRKOtSwf1RxepECXSRURERDzNGgzdxkD3J09WpgdGGJ93G6ONRkVERKQYVwV68xjjnWsHVJF+Rq5NRtvH1iQiuHxtcFwV6Tm2QjLzfbPIYeVeI5HeUf3RRSpEPdJFRHyM2WymWbNmng5DREpRoXXqFwiXPmJsLJqXYbRzKSww7heRSqWfpSLeT+u0dOm5Be5kbse4mmw5nOGuUJfTc/VH7928fG1dAIKtfoQH+ZOeW0BSeh5hgf6VHV6VOpqVz+4j2QDl2mRVRE5SRbqIiIiIt7AGg8VqbCxqsYK1hqcjEhERES/kqkaPrGGlcXRIkfukZNn5dpbtOgZA7xZ1zjg+12bHZndwLCsfm91Bjs3u3nD0sA9uOLrqRH/0ZnVCy12NLyIGVaSLiIiIiIiIiPgQV/V5vYgg6kcEAWrtciZ/7jyKrdBBbGQwjaNKL1bILyhkwoLdTFqSSEaunbAgP4Z0jSc6NICtSZkk+eCGo6v2qD+6yNlSIl1ExMc4HA4OHz4MQN26dTGb9eYiEW+jdSri3bRGRbyf1mnpDqYaG4vWjwiifk0jka7WLqWbsyUZgF7NozG5dmgtQa7NzoQFuxk3Z4f7voxcO+Pm7ODCekY/el+sSF95IpHeMV790UUqSol0EREflJWV5ekQROQMtE5FvJvWqIj30zo9PVfSvH7NkxXp6bkFZOXbCQmoulRPrs2OxWwmM6+A0EB/7A4HwVbvTy05HE7mbj0CQO/mpbd1sZjNTFqSWOK5HSnG/8kkH0uk59jsbDyUAUAHbTQqUmHe/91ORERERERERETc3In0iCBCA/3dm2AeTM2lWUxolcx5unYnD/RoTIC/pUrmrCwbDqZzNCufkAC/M1ZkZ+YVkJFrL/Fcvt0B+F5F+l/70ih0OI13MJx44UVEyk/vjRIRERERERER8SGujUVdbV1cydGDaTlVMl+uzc74+bsYN2eHO8nsancyfv4ucmwlJ569xZytKQBc3rQ2Vr/SU2Ghgf6EBZVcdxpsNR7raxXpK9UfXaRSKJEuIiIiIiIiIuJDTq1Ih5MJ9YNVtOFoae1OJi1JxM/Le9if7I9eelsXALvDwT1d4ko8d9PFDQA47GObjZ5MpKuti8jZ8O7vdCIiIiIiIiIi4pZXUMjRLBsADf5WkX6gijYcLa3dSUauncy8giqZtzIkpeex6VAGJhP0aBZ1xvEbD6YzuGscD/ZKcFemhwX58XDvJozu0xSAjDw72fneXYXvUlDo4K99aQB0VCJd5KyoR7qIiIiIiIiIiI9wVaPXsFoID/IHTibUD1RRRbqr3UlJyfSwID9CA/2rZN7KMPdEW5eLG0ZQOySg1LEOh5Pnf96Mze7gvYFtebBXE45m5RMR7M++4zlEhgYQEuBHVr6dpIw8GkeFVMdTOCubD2WQYyskPMifJtHeH6+IN1NFuoiIiIiIiIiIjzi1P7rJZDKOI6q2tcvuI1kMPk27kyFd47E7HFUyb2VwtXXp3eLMbV1+XneILYczSMnIo154EFY/M+v2p3HZm/N4/Nv1AMSEBwK+0yfd3dYltiZms8nD0Yj4NlWki4j4GJPJRJMmTdzHIuJ9tE5FvJvWqIj30zo9vUN/648Op/RIr4LWLp8t3cOUJXuZOrwzJhNMXrKHjFw7YUF+DO4Sxz2XxhHgZ6n0eStDrq2QP3ceBaBX8+hSx9rsDv4zexsAI3o0pmYNKwCXxNciLcfG8WwbB9NyqRseyM6ULA77WiJdbV1EzpoS6SIiPsZkMumPCREvp3Uq4t20RkW8n9bp6bk3Gq15MpHeoGYwAEcy88krKCTQv3IS29PXH+b5nzfhdBrHI7o3ZlTPJmTmFRAa6M+iHUe4+cOl3NstnoEdG1XKnJVp6e6j5Nsd1AsPpHlMaKlj/7d8L/uP5xIdGsCQS+Pc99cOCaBDbC1W7DnOrE1JxIS5KtK9f8NRp9PJqj2pAHSMr+nhaER8n1q7iIiIiIiIiIj4CHdrl4hg9301g/0JOpE8r6xK6SU7jzL6m7U4nXBX50bc3SWWYKsfVj8zkSEBWP3M7D2Ww64jWfxn1jav3HB0zhajP3rvFnVKfWEmK9/Of+fuBODhPk0IthatO+3bymgLM2tTMnVdrV0yvL8ifffRbI5l27D6mbmwfrinwxHxeUqki4j4GIfDweHDhzl8+DAOL+5FKHI+0zoV8W5aoyLeT+v09A6UUJFuMplOtnephD7pGw+m84/PV2MrdHDVhTG8eN2FJSai7+4SywW1a3A0y8b4+bvOet7K5HQ63RuN9mpReluX/1u4m2PZNuJr1+DWDg2Lne/XKgaAFXuOE3Zig1df6JG+6kRbl7YNI7y2/Y6IL1EiXUTEB2VkZJCRkeHpMESkFFqnIt5Na1TE+2mdluxkRXpQkfvdG46m5ZzV9fcey+aeSSvJyrfT+YJajL2tLZbTbFLpbzHz9NUtAPjkz0T2Hz+7uSvT5sMZHE7PI8jfQpcLIk877mhWPh8v2g3AY32b4W8pniprWCuYFnXDKHQ43T3qfaFH+opEo63LJXFq6yJSGTyaSP/www9p3bo1YWFhhIWF0aVLF37//Xf3+by8PEaOHElkZCQhISEMGDCA5OTkItfYt28f/fv3Jzg4mOjoaB5//HHsdnuRMfPnz6ddu3YEBASQkJDA5MmTi8XywQcfEBcXR2BgIJ06dWLFihVFzpclFhERERERERGRqmIvdLhbihRLpFdCRfqRzHwGfbqCo1n5tKgbxkeDOpyx33rvFtFcmhCJze7gjRlbKzx3ZZt7oq3LZU1ql/oc3p+7k2xbIW0ahHP1RTGnHdfvRHuXTYeMF3d8oiJ9r1GRfok2GhWpFB5NpDdo0IA33niD1atXs2rVKnr16sX111/Ppk2bABg9ejS//PIL3377LQsWLODQoUPcdNNN7scXFhbSv39/bDYbS5YsYcqUKUyePJnnnnvOPSYxMZH+/fvTs2dP1q5dyyOPPMK9997LzJkz3WO++eYbxowZw/PPP8+aNWto06YN/fr1IyUlxT3mTLGIiIiIiIiIiFSl5Mx8Ch1O/C0mokMDipxzJdYPVDCRnplXwD2TVrD3WA4NawUxZcglhAX6n/FxJpOJf/VviclkbEjqaifiaXNOtHXp3fz0bV32Hcvhy+V7AXjyyual9lF3tXf5a59R5X0s20ZeQWFlhVvpUjLy2HssB5MJ2sWqIl2kMng0kX7ttddy9dVX06RJE5o2bcqrr75KSEgIy5YtIz09nU8++YR33nmHXr160b59eyZNmsSSJUtYtmwZALNmzWLz5s188cUXtG3blquuuoqXX36ZDz74AJvNBsCECROIj4/nP//5Dy1atGDUqFHcfPPNjB071h3HO++8w3333ceQIUNo2bIlEyZMIDg4mE8//RSgTLGIiIiIiIiIiFQlV7V53fAgzH9rt9LgREW6q4d6eeTbCxnxxWo2HcogsoaVz4Z2IjossMyPb1E3jNtO9BZ/+dfNOBzOcsdQmY5k5rPuQBoAPUtJpP9n9jYKCp10a1Kbrgm1S71m85hQGtYKwlZovJABkJKRX2kxV7aVe4yEf4uYsDK9ICIiZ+Y1PdILCwv5+uuvyc7OpkuXLqxevZqCggL69OnjHtO8eXMaNWrE0qVLAVi6dCkXXXQRderUcY/p168fGRkZ7qr2pUuXFrmGa4zrGjabjdWrVxcZYzab6dOnj3tMWWIREREREREREalKrv7nf2/rAicT6eVt7eJwOBkzdR2Ldx6jhtXC5CEdia9do9yxjenblBpWC+sOpPPTuoPlfnxlmrctBacTLqofTp3TvCCw6VA6P609BBjV6GdiMpno19KoSrf6Gem0w+lnv7FrVVm5x9XWRdXoIpWlQon0wYMHs3DhwkoJYMOGDYSEhBAQEMCIESP44YcfaNmyJUlJSVitViIiIoqMr1OnDklJSQAkJSUVSaK7zrvOlTYmIyOD3Nxcjh49SmFhYYljTr3GmWIpSX5+vntzFG2SIiIiIiIiIiJnw73RaM3iifT6EcEAJGXkYS90lOl6TqeTF3/ZxPT1h/G3mJhwd3suahBeodiiQwN5oGcCAG/N2EauzXNtT1z90Xu3OH01+lsztgFwbZt6XFi/bM+534VGIj2vwPj6uvrVeyN3Ij1e/dFFKkuFEunp6en06dOHJk2a8Nprr3HwYMVfaWzWrBlr165l+fLl3H///QwePJjNmzdX+Hre5PXXXyc8PNz90bBhQ0+HJCIiIiIiInJOy7XZsdkdHMvKx2Z3kGOzezqkSnPwRNuWkirSo0MD8LeYKHQ4Sc4sW8uR8fN3MWWp0SP8P7e2pVuTqLOKb9hl8dSPCOJweh4fLdx9VteqqHx7IYt2HAGgd/M6JY5ZsusoC7Yfwc9s4rG+Tct87XaNalI7xErhidY1h710w9HMvAK2HDaKObXRqEjlqVAi/ccff+TgwYPcf//9fPPNN8TFxXHVVVfx3XffUVBQUK5rWa1WEhISaN++Pa+//jpt2rRh3LhxxMTEYLPZSEtLKzI+OTmZmBjjFcCYmBiSk5OLnXedK21MWFgYQUFB1K5dG4vFUuKYU69xplhK8tRTT5Genu7+2L9/f9m+KCIipTCZTDRu3JjGjRuXuhmOiHiO1qmId9MaFfF+FV2n+QWFTFiwmw6vzqb9K3/Q4dXZTFywm3wv3hSyPA6UUpFuNpuoG1729i5fr9jH2zONquznr23JdW3qnXV8gf4W/nmV0SZlwoJdJHkg0bx893GybYVEhwbQql5YsfNOp5M3T1Sj39GpEbGRZW9jYzGbuKLlyeS8J55fWazZl4bDCY1qBZ+2tY2IlF+Fe6RHRUUxZswY1q1bx/Lly0lISODuu++mXr16jB49mh07dlToug6Hg/z8fNq3b4+/vz9z5sxxn9u2bRv79u2jS5cuAHTp0oUNGzaQkpLiHjN79mzCwsJo2bKle8yp13CNcV3DarXSvn37ImMcDgdz5sxxjylLLCUJCAggLCysyIeIyNkymUz4+fnh5+enP/5FvJTWqYh30xoV8X4VWae5Njvj5+9i3JwdZOQaVegZuXbGzdnB+Pm7zonKdFdFeoMSKtLhZKW6q5f66czenMzTP2wA4IEejRlyaXylxXhN67q0j61JbkGhO1FfneZuNXJEvZpHF9uQFWDGxiTW7U8j2GrhwV5Nyn39vi1PFlQeqsDGrtVh1Ym2Lh3UH12kUp31ZqOHDx9m9uzZzJ49G4vFwtVXX82GDRto2bIlY8eOLfWxTz31FAsXLmTPnj1s2LCBp556ivnz53PnnXcSHh7OsGHDGDNmDPPmzWP16tUMGTKELl260LlzZwD69u1Ly5Ytufvuu1m3bh0zZ87kX//6FyNHjiQgIACAESNGsHv3bp544gm2bt3K+PHjmTp1KqNHj3bHMWbMGP7v//6PKVOmsGXLFu6//36ys7MZMmQIQJliERERERERERHPsZjNTFqSWOK5SUsS8TOfdQrEo5xOpztxW1JF+qn3Hzh++gTvyj3HGfW/NTiccGuHBjzer1mlxmkymXj2GqO4cdqaA2w4kF6p1y+N0+lkzlaj40DvFsXbutgLHbw9y0ju33tZPFGhAeWeo2tCJIEnNhvdfTT7LKKtOisSXRuNqq2LSGXyq8iDCgoK+Pnnn5k0aRKzZs2idevWPPLII9xxxx3uqusffviBoUOHFklY/11KSgqDBg3i8OHDhIeH07p1a2bOnMkVV1wBwNixYzGbzQwYMID8/Hz69evH+PHj3Y+3WCz8+uuv3H///XTp0oUaNWowePBgXnrpJfeY+Ph4pk+fzujRoxk3bhwNGjTg448/pl+/fu4xt912G0eOHOG5554jKSmJtm3bMmPGjCIbkJ4pFhGR6uJwODhyxOj5FxUVhdnH/yAQORdpnYp4N61REe9XkXWamVfgrkT/u4xcO5l5BUSGlD9x6i2OZ9vIK3BgMuFu4fJ3JyvSS06kb0vKZNjkleTbHfRpEc1rN15UJe/Madswghva1uPHtYd4efpmvvlH52p5B9COlCz2H8/F6mfm0oTIYue/XX2A3UeyqVXDyn2XX1ChOQL8LHSIq8WfO496ZUW6ze5g7f40QIl0kcpWoUR63bp1cTgcDBw4kBUrVtC2bdtiY3r27ElERESp1/nkk09KPR8YGMgHH3zABx98cNoxsbGx/Pbbb6Vep0ePHvz111+ljhk1ahSjRo06q1hERKqLa8+GqKiz2wxIRKqO1qmId9MaFfF+5V2noYH+hAX5lZhMDwvyIzTQvzLDq3au5Hh0aABWv5JfWHBVpJeUSD+QmsOgT5eTkWenQ2xN/juwHX6Wqnsh8YkrmzNjUxIrEo8zc1MSV15Yt8rmcpmzxWjr0rVxJMHWoimvXFshY2dvB2BUz4Sz+v9w1YUx/LnzKDm2Qmz2Qqx+looHXck2HEwn3+6gVg0rjaPK3v9dRM6sQt8xx44dy6FDh/jggw9KTKIDREREkJhY8luqREREREREREQqU6HDwZCuJff6HtI1HrvDUc0RVS7XBqL1T9MfHaBBzZI3Gz2ebWPQpytIzsinaZ0QPh7cgSBr1SZ/60UE8Y9uRtX3a79tJd9e9Ru+zi2lrcukJYmkZObToGYQd3ZudFbzXNP65IsCK0+0UfEW7v7osTW1D4hIJatQIn3evHkUFBQUuz87O5uhQ4eedVAiIiIiIiIiIuURZPXjgR6Nebh3E8KCjGrksCA/Hu7dhAd6NC5WoexrDrr7owefdkyDiGD3WKfTCUCOzc7QySvZfSSbeuGBTBnakYhga9UHDAzv3pjo0AD2Hc9hypI9VTpXaraN1XtTAWOj0VOl5dj4cP4uAMZc0ZSAs6wgDw+2EuhvpNSmb0g6q2tVtpV71B9dpKpUKJE+ZcoUcnOLv00oNzeXzz777KyDEhEREREREREprwB/C8O7X8Dyp/vw55M9WfF0H4Z3v4AAf+9pvVFRB8pQkR4THojJBPl2B0ezbBQUOnjgyzWs3Z9GRLA/nw3reNr+6lWhRoCfezPT/87ZybGs/Cqba/72FBxOaB4TWuxr9OH8XWTm2WkeE8r1betXynwxYYEA/LnzSKVcrzI4HE5WnXgx4ZJ4JdJFKlu5EukZGRmkp6fjdDrJzMwkIyPD/ZGamspvv/1GdHT0mS8kIiIiIiIiIlIFgq1+TF68h2GTV/HvmVt9vhLdxV2RHhF42jFWPzN1Qo3zB47n8OR365m/7QiB/mY+vecSEqJDqyXWUw1o14AL64eRmW9n7B/bq2weV3/03i2K5qUOpeUy6UQ1/BNXNsNirpx2J03rGF/LfcdzvWbT0Z1HskjLKSDI30KremGeDkfknFOuRHpERAS1atXCZDLRtGlTatas6f6oXbs2Q4cOZeTIkVUVq4iIiIiIiIjIGdUJC2BbciabDmV6OpRK4+6RXrP0inLX+Q/m7+T7vw5iMZv48M72tGtUs8pjLInZbOJf/VsC8L/l+9ieXPn/JgWFDhZsNyrD/94f/d0/tmOzO+gYX4uezSqv+DOu9smNPGdt8o72Lq62Lhc3isC/CjeSFTlfletl2Xnz5uF0OunVqxfTpk2jVq2TbxOxWq3ExsZSr169Sg9SRERERERERKSsYiONJOfeY9kejqTynKxIP32PdON8EKv3pvLHiQrttwa0pmdzz3YP6HxBJP1a1WHmpmRemb6Fz4Z2rNTrr9xznMw8O5E1rLRpEOG+f0dyJt+tPgDAP69qXqmbb7pauwDM3JTMPZeWvNFtdXJtfNpB/dFFqkS5Eundu3cHIDExkUaNGmn3XxERDzCZTFxwwQXuYxHxPlqnIt5Na1TE+53tOo2LNJLNh9LzyCsoJNDHe6Rn5dtJzy0AzlyRnm2zu4+fuqo5A9o3qNLYyuqpq1owd2sKC7cfYd62lEqtDp974kWDHs2ii7RueXvmNhxO6NuyTqVX5NcNP5lIX7HnOKnZNmrWqJ5NXE9n5R6jP3pHJdJFqkSZE+nr16/nwgsvxGw2k56ezoYNG047tnXr1pUSnIiIFGcymfD39/d0GCJSCq1TEe+mNSri/c52ndaqYSU00I/MPDv7j+fQpE719wavTK62LuFB/oQEnD6VM39bCvO2GknlhjWD+MflF1RLfGURV7sG93SN4/8WJfLq9C1cllC70tqPzN1avD/66r2pzNqcjNlk9EavbDEnEul+ZhN2h5M5W1O42YMvWhxKy+VgWi4Ws4mLG0V4LA6Rc1mZE+lt27YlKSmJ6Oho2rZti8lkwul0FhtnMpkoLCys1CBFRERERERERMrKZDIRF1mDDQfTSTya7fuJ9LQcwGjbcjp/7Uvl/i/W4DiRqgkO8PO6d92M6tWEaWsOsjMli69W7GNQl7izvubuI1nsPpqNv8VEtya1AXA6nbz5+1YAbmnfsEo2Wa0bbvxbOE7kxmZuSvJoIt3VH71VvTBqlPJii4hUXJlXVmJiIlFRUe5jERHxDKfTyZEjxkY6UVFRXvfLsYhonYp4O61REe9XGes0NjKYDQfT2Xssp7LDq3YlbTSaa7NjMZvJzCsgNNCf1Bwb9SKCqBnsz6q9qRw68RhvEh7kz+g+TXj2p02Mnb2d69vUJzz47N4h5KpG7xQfSWigca1521JYsec4AX5mHrmiyVnHXZKo0AAsZhOFJ165WLj9CDk2O8FWzySxV51o69IhVm1dRKpKmVd3bGxsicciIlK9nE4nqanGL0m1a9fWH/8iXkjrVMS7aY2KeL/KWKdxJzYc3XMObDh6wL3RqJFIzy8oZMKC3UxakkhGrp2wID8Gd4lj2v1dsDscdHhlDpkn+qqHB3lXK6uBHRvx2dK97EjJ4v15O3imf8uzut6cE/3Re53YULXQ4eStGdsAuKdrnLtyvLJZzCaiQwM4nJ5HdFgAKRn5LNx+hCsvrFsl852JqyK9Y3zl9oIXkZMq1IxqypQpTJ8+3f35E088QUREBF27dmXv3r2VFpyIiIiIiIiISEXEnthw9FyqSG9QM4hcm53x83cxbs4OMnKNjUUzcu38d+5OJi3eQ7DVj1onNr086IVV6X4WM8/0bwHA5CV72HO04i90pOcWuBPIrv7oP609yNakTMIC/bi/R+OzD7gUrj7pF9ULB2DmpuQqne900nMK2JacCUB7VaSLVJkKJdJfe+01goKMV/SWLl3K+++/z1tvvUXt2rUZPXp0pQYoIiIiIiIiIlJe8bXPnYr0g6dUpFvMZiYtKbnl7qQlifiZze7K9QOp3vkiQo9m0XRvGkVBoZPXf99S4ess3H4Eu8NJQnQIsZE1yLcX8p9Z2wEY0aMxEcHWygq5RHVPJNIbnXjRZs6WZAoKHVU6Z0lW7zuO0wkX1K5BVGhAtc8vcr6oUCJ9//79JCQkAPDjjz9y8803849//IPXX3+dRYsWVWqAIiIiIiIiIiLlFXuitcuhtFzy7YUejubsuCrLZ25KIjkjz12J/ncZuXYy8wrciXRXAt4b/at/CyxmEzM3JbN017EKXcPVH733ibYuXyzbx8G0XOqEBTCka3ylxXo6MWHG19nfYiayhpWMPDvLdx+v8nn/bqWrP3qc2rqIVKUKJdJDQkI4dsz4Jjdr1iyuuOIKAAIDA8nN9d5v0iIiIiIiIiJyfqgdYqWG1YLDCfuP+16uIi3Hxrer9jN08gpSMvMBmL/9CJEhVsKCSt7yLizIj9BAf/empN7Y2sWlSZ1Q7ujYCIBXpm92b9pZVoUOJ/O2neyPnplXwAfzdgLwSJ+mBFktlRtwCWLCjerv5Iw8rmhZBzBe7KhuKxON5P0lcWrrIlKVKpRIv+KKK7j33nu599572b59O1dffTUAmzZtIi4urjLjExEREREREREpN5PJ5K5K3+sj7V1SMvP4Ytle7vp4Oe1f+YPHv1vP3K1HADABt1/SkKw8+2mrrYd0jcfucNCgpvdXpAOMvqIpoYF+bDqUwbQ1B8r12DX7UknLMTZTbR9bk/9buJvj2TYuiKrBLe0bVFHERcWc2Mj0cHoe/VrFADBrcxKOcr4ocDbyCgpZfyAdUCJdpKpVKJH+wQcf0KVLF44cOcK0adOIjIwEYPXq1QwcOLBSAxQRERERERERqYi42kbv6j1evOHogdQcPl60m1smLKHTa3P4148b+XPnUQodTprHhDKgXX0ALoiqwT+vakF0WCAP9GjMw72buCvTw4L8eLh3Ex7o0Zhgq59PtHYBqFXDykO9mgDw9sxtZOeX3LKmJHO2GNXoPZpFcTzHxv8tMvrGP963GX6WCqW7ys3VIz0pPY8ujSOpYbWQnJHPugNp1TI/wPoD6dgKHdQOCXBvsCsiVaPk9wKdQUREBO+//36x+1988cWzDkhEREpnMpnc7/4xmUyeDUZESqR1KuLdtEZFvF9lrdM4L61I33Ukixkbk5ixMYkNB9OLnGvTMIKrLozhylYxxNWuwdRV+5m25iD1TiTHAQL8LQzvfgEjeyaQmVdAaKA/doeDAH+jnYkvtHZxGdQ1li+W72XvsRwmLNjFo32blelxc7cmA0Zbl//O2UluQSFtGkZw5YUxVRluETFhJxPpAX5mejSPZvr6w8zanMzFjaqnX/nKPUZbl47xNfUzTaSKVSiRDpCWlsaKFStISUnB4Ti5I7HJZOLuu++ulOBERKQ4k8lEQIB2YhfxZlqnIt5Na1TE+1XWOnUl0hOPVm0iPddmx2I2F0lqB1tPplycTidbDmcyY+NhZmxKYntylvuc2WS05Ljywhj6tYopkjCHk8lwV7sWF9f1I0OMr5P1lKYDDSKMyuRj2TZybYXV0i+8ogL8LDx1VQtGfLGajxbu5vaOjdwV9aez/3gO25OzsJhNXFC7Bo9OXQfAP69sXq3J5DonEum2QgfHs230axXD9PWHmbkpiSevbF4tMbgS6R1i1dZFpKpVKJH+yy+/cOedd5KVlUVYWFiRb1JKpIuIiIiIiIiIN3C1uthbha1d8gsKmbBgN5OWJJKRaycsyI8hXeN5oEdjdh3J4se1h5ixMYl9x0/G4G8x0bVxba68MIYrWtahdsjpXzRwtWc5U3L5VGFBfoQE+JGVb+dgWi4J0SEVf4LVoF+rOnSKr8XyxOO8NWMr426/uNTxc7YY1egdYmvy0aJE7A4n3ZtG0aVxZHWE62b1M1M7JICjWfkcTs+jZ7Mo/C0mdh/JZmdKJgnRoVU6f6HDyeq9qQB0jFciXaSqVahp1KOPPsrQoUPJysoiLS2N1NRU98fx48crO0YRETmF0+nk6NGjHD16FKez+jaxEZGy0zoV8W5aoyLer7LWaVxtoyL9QGoONrvjDKPLL9dmZ/z8XYybs4OMXKO/d0aunXFzdvD+vJ0cSM3lo4W72Xc8hwA/M31b1mHsbW1Y9a8rmDK0IwM7Nio1iQ4nK9Lr1yx7It1kMrkT7wdSvbc/vIvJZOLZa1piMsFPaw/x177UUsfP2Wr0R29ZN4xf1h0C4Ikry9YSprKd2ic9NNCfro1rAzBzU3KVz70tKZPMPDs1rBaax1Rt0l5EKphIP3jwIA899BDBwdrEQESkujmdTo4dO8axY8f0x7+Il9I6FfFuWqMi3q+y1ml0aABB/hYczqrZeNNiNjNpSWKJ56Ys3cNlTWpzR8dGjL+zHX89dwUfDerAjRc3IDzIv8xznKxIL18Oxt0n3cs3HHW5sH44A9o1AODlXzef9t89K9/O8t1GEef6g2kAXN+2Hq3qhVdLnH8XcyKRfjgjD4B+rYwe7TM3JVX53Kv2Gl+HdrE1q22DVZHzWYVWWb9+/Vi1alVlxyIiIiIiIiIiUmlMJpO7vcueSthwNCOvgIXbjzB29nae+n49yRl57kr0YmNz7eTaCnntpou4+qK6RXqml5XD4eRwevkr0uFkT3Vf2HDU5fF+zQi2WlizL41f1x8uccyfO45iK3RQJyyA1XvT8LeYePQKz1Sjw6kV6cbX+YqWdTCZYP2BdA5V8YsYKxKNRPolcWrrIlIdKtQjvX///jz++ONs3ryZiy66CH//oq+kXnfddZUSnIiIiIiIiIjI2YiLrMHWpEz2HM2GcuRbnU4ne4/lsHpvKqv3pbJmbyrbkjNxFUrXqmHl2WtaEhbkV2IyPSzIj9DAsleelyQlM5+CQicWs4k6oeXbfNXV2sVXKtLB2LxzRPfGvDN7O2/8vpUrWtYh0L/oRqmu/uiFDuMf4s5OsTSK9FzHBHdFerpRkR4VGkD7RjVZtTeV2ZuTGdw1rkrmdTqd7o1GlUgXqR4VSqTfd999ALz00kvFzplMJgoLC88uKhERERERERGRShBbu2wbjuYVFLLhYLqRON9rJM6PZduKXy8ymPaNatIutibZ+YUM6RrPuDk7io0b0jUeu8OBtWLNAAA4mGbEHBMWWO7WHfV9sCId4L5uF/DVin0cTMvlkz8TGdkzwX3O4XAyb5vRH/1olo0aVgujeiWc7lLV4tQe6S79WsWwam8qMzclVVki/UBqLskZ+fhbTLRtGFElc4hIURVKpDsclb9Bh4iIiIiIiIjI2cq12bGYzWTmFRAa6E+9E4nOv7d2Sc7IcyfNV+9NZdOhdAoKi/bltvqZaV0/nPaxRuK8XaOaRP2tMvyBHo0BmLQkkYxcO2FBfgzpGs8DPRoT8Ldq6vI6UIGNRl18sSIdIMhq4ckrm/PIN2sZP28nt3RoQHSo8W+4/mA6R7NsmEzgdMK93S4442atVS0mzPg6n5pI79uqDq/+toXlicdJzbZRs4a10ud1VaNfWD+cIOvZ/T8TkbKpUCL9VHl5eQQGBlZGLCIiUtVsOWDxg7x0CAyHQjtYtXG0iMj/s3fX4XHV2R/H3yOZTNw9aaRJ3agLpS0tFHe3wuIUFtvfsrAsu6yxy+7ibm1xd4cWKFB3jbSNuyeTZPz+/hhp0ngySSbteT1Pn6SZm5nvJLkjn3vuOUIIIY4OJouN53461CbUXjImBoCccgOr1uW5g/OOAuaoIF+mJ4e5g/Px8cH4arsOKX19NNy4II3li9Ld4b3Vbu93iA6HQ/DE0D4E6c7wvbzBiNlqR6cdPsMoz5ocz4p1eewsrOORb7P51/mTgMNtXRQFIgJ0XH9C2lAuE2hVkd5gRFEUZ1/+AMbEBpFZ1sjqzAoumJbo8dvdnFcLSFsXIQZTn4J0m83GP//5T5577jnKy8vJzs4mLS2NP/3pT6SkpHDttdd6ep1CCCH6y2qEXx+Djc+DsQ70oTDrRph/F2jlgKgQQgghhBjeWsxWnvvpUJs2Kw0tVj7cXgxAaX0Lf/50r/sytQrGxgUzzRWcjwgjMcwPlUrV69t2DRKNcFZH96edS2vF/ahIjwzwRadVY7baKas3Dmkf8d5Sq1U8cMZYzn92Pe9sKeSqOSmMiw/m+33l7m1uOzGdQN9+14f2m6tHerPZRoPRSoifoy/+yeNjySxr5Nu9ZQMUpEt/dCEGW58ecf7xj3+watUqHn74YXe/dIAJEybw2GOPSZAuhBADSKVSMWLECPfnPWJudoToP/378NeMdYf/P+8OqUwXwoP6tJ8KIQaN7KNCeL++7KcatZoV63I7vdyuwImjozhuhCM4n5wUSoAXBLFdKXFWpCf0oSJdrVaREOpHblUTRXXNwypIB5iWHM4Zk+LYX9qIwWShqKYJuwIRgTr+cuY4lo6PG+olAqD30RDm70Nts4WyeqM7SF86PoYnVuewNqeSFrPNo+1XaprMHKgwADA9Ocxj1yuE6FqfnjFeffVVXnjhBRYvXsxNN93k/vrkyZPJzMz02OKEEEK0p1Kp8PPr5QtpjdZRid6Rjc/DCb/r/8KEEG592k+FEING9lEhvF9f9tNGo4WGFmuX2yybl8qCUVH9WdqgcrV26UtFOuAO0ofbwFGX+08fi95HQ2m9kfBAX15aNp2IQJ1jcKyidH8FgyQ2xI/aZgul9S2Mjg0CYFxcMIlhfhTVtvBTdiWnTIj12O1tcVajZ0QHDkj/dSFEx/p0rlFxcTHp6e2nItvtdiwWS78XJYQQwsOM9Y4K9A4vqwNjw2CuRgghhBBCCI8L0vsQ7NdxvaBW7ahqzz9i4Kg3UxTFHYDH96EiHSAxbHgOHHUJ9fNBo1bx5e5SZj+0mvkP/8Dsh1bz5e5STDY7LeauD5wMFnef9FYDR1UqFSePc4Tn3+4t8+jtbcl39EefLm1dhBhUfQrSx40bx88//9zu6++//z7HHXdcvxclhBCic4qiUFNTQ01NDUpPqzD0IY6e6B1eFgr6YE8tTwhBH/dTIcSgkX1UCO/Xl/3UZrdzzdzUDi+blBgCQF5Vs8fWONDqWyw0mW1A31q7tP6+4VqRblPghbWHeHLNAffZBg0tVp5cc4AX1h7C7iUP4a4+6aWtgnRwtHcB+H5/ORab3WO3tynXUZE+M1XauggxmPrU2uWBBx5g2bJlFBcXY7fb+fDDD8nKyuLVV1/l888/9/QahRBCtKIoCpWVlQCEhob2rGekzeoYLNq6R7rLrBsdl2vklEAhPKVP+6kQYtDIPiqE9+vLfuqn03LLwpEArFiXS0OLlWA/LdfMTSU8wIdtBXXDqiK9yBl+Rwbq0Pv0rb92wjCvSPfRqFm1Pq/Dy1atz+O2EzMGd0GdiAtuX5EOjorxiAAd1U1mNuXWMC89st+31WK2sae43nH9yVKRLsRg6lOQfvbZZ/PZZ5/x17/+lYCAAB544AGmTp3KZ599xkknneTpNQohhOgvnT/Mv8vx+cbnHe1c9KGOEH3+XaDVD+XqhBBCCCGE8AhfHw03Lkhj+aJ0Go0WgvQ+WO12thfUAZA7jIL04n4MGnVxV6QP0yC9oYu+9w0tVhqNFiICfQd5Ve25K9Ib2gbpGrWKJWNjeGdLId/sLfNIkL69sBarXSEuRO9u3SOEGBx9Hk89f/58vvvuO0+uRQghxEDS6mHeHXD8HdBUCYExYLdJiC6EEEIIIY4q/jpH1OEKWHWoSY7wB6CwphmbXUGj9v4zUVztWPo6aLT195bUtWC3K6iHwf1uLdjZ976jMD3YT0uQ3mcIVtVeXIjj51xW3/6AxdIJjiD9273l/OXM8f3+HWzJO9wfXc6oEmJw9alHelpaGtXV1e2+XldXR1paWr8XJYQQYoDo/OGn/8Cbl8DPj4AuYKhXJIQQQgghxICLC/FDp1FjsSmUDJPqbE9UpMcG69GoVVhsChWNJk8tbdB01ff+mrmpWO2e6zveH7EhjoM2R/ZIB5g7MpIAnYayBiO7nC1Z+mNznqM/+owU6Y8uxGDrU5Cel5eHzWZr93WTyURxcXG/FyWEEGIAhSRAxT4o2T7UKxFCCCGEEGJQaNQqksIdgXR+9fAYOOquSO9HkK7VqIl19u8urhse97s1P52WmxeO5LYT0wn2c5xpEOyn5fbFGdyycKT77IOhFuusSG80WjGY2lbP6300LBwdDcA3e8v6dTtWm51t+Y6K9Bkp0h9diMHWq0ecTz/91P35N998Q0hIiPv/NpuN1atXk5KS4rHFCSGEGABRYxwfK7OGdh1CCCGEEEIMotTIAA5WNpFX3cTxGf3vVT3Q3BXpYf79up6EMD+K61ooqm1hWrInVja4SuuMTEwIYcO9i2kx29x97337OIB1IAT6agny1dJoslJWbyQ9OrDN5SePj+GL3aV8u7eMe04Z0+fb2V/aSJPZRpBey6iYoP4uWwjRS70K0s855xwAVCoVy5Yta3OZj48PKSkp/O9///PY4oQQQgwAV5BeVwDmZke7FyGEEEIIIY5yyRGOtoZ5VcNj4KgnWrsAJIb6sYnhO3B0T0k9t721nYWjIln5m1mAo++9t4kN0dNYYegwSF80JhofjYqDlU0cqDC0u7ynXG1dpieHDYs+/0IcbXoVpNudvadSU1PZvHkzkZHefwRXCCGONiqViqSkJPfnvRYQCX7h0FID1TkQN9nDKxRC9Hs/FUIMKNlHhfB+A7GfpjgHjuYNg9YuzWYrNU1moH/DRlt/v6tVzHCTXd4IQFw/DygMtNgQPTkVBko7GDgarPdh7shIfsqu5Ju9ZaRHp/fpNtxBurR1EWJI9OkQXm5uroToQggxRFQqFf7+/vj7+/f9TYW0dxFiQHlkPxVCDBjZR4XwfgOxn7oq0vOrvb8i3TUQNchXS4ifT7+uy1XRPlwr0rPKHEG6t7cyiQtx9KIv62DgKDjauwB828c+6YqisDnP0R99ZqoE6UIMhT5PZVi9ejWrV6+moqLCXanu8sorr/R7YUIIIQZQ1CgoWAeVmUO9EiGEEEIIIQZFiitIr2nGbldQe3FrjCLXoNF+VqO3vo7hXpE+2suDdNfA0dKGjoP0k8bFcP/He9hZVE9pfQtxIb373eZXN1NlMKHTqJmYENL9NwghPK5PFekPPvggJ598MqtXr6aqqora2to2/4QQQgwcRVHcj7eKovTtSqQiXYgB5ZH9VAgxYGQfFcL7DcR+Gh+qx0ejwmy1U9ZJ2OktSuoc6+tvf/TW11FU2zLsHvNazDbyaxyteEbFeneQ3l1FenSQnqkjwgD4dm95r69/k7Oty+SkEPReNGhViGNJnyrSn3vuOVauXMmVV17p6fUIIYTohqIoVFRUABASEtK3U12jRjs+SpAuxIDwyH4qhBgwso8K4f0GYj/VatQkhflzqKqJvKom4r2453ZxnSM89kRFuut+tlhs1DZbCA/Q9fs6B8uBCgOKAhEBOiIDfYd6OV2KdQbppZ0E6QBLx8ewNb+Wb/eVsWxuSq+uf4v0RxdiyPWpIt1sNjN37lxPr0UIIcRgiXQG6TWHwGoe2rUIIYQQQggxSJKHycBRVxsWT4T9eh+NO4Qebu1dspxtXTJiAod4Jd07XJHe+c/45HGxAGw4VENdc+/eh7n7o0uQLsSQ6VOQft111/Hmm296ei1CCCEGS3A86IJAsUHNwaFejRBCCCGEEINiuAwcdQ0G9URrF4BEV5/0Ou8+gHCk4dIfHSAu2PEzrm22YLTYOtwmJTKA0TFB2OwKq/dX9Pi6KxtN5FY1oVLB1OQwj6xXCNF7fWrtYjQaeeGFF/j++++ZNGkSPj5tJ0g/8sgjHlmcEEKIAaJSOQaOFm91tHeJHjvUKxJCCCGEEGLApbgr0r08SPfgsFHX9eworHMPMR0uXEG6t/dHBwj20+Lno6HFYqO8weg+aHOkpeNjyCpv5Ju9ZZw/LbFH1+1q6zI6JogQP59uthZCDJQ+Bem7du1iypQpAOzZs8eT6xFCCDFYosYcDtKFEEIIIYQ4BqREuirSvbcy22I7PAw10VMV6aGuivRhFqSXDZ+KdJVKRVyInkNVTZTWdx6knzw+lifWHGBtTiUtZht+uu4Hh7rausyQti5CDKk+Bek//PCDp9chhBBisLkHjmYO7TqEEEIIIYQYJCnOcDOvugm7XUGt9r5hw2X1RuwK6DRqjw3YdFW2D6ce6Q1GCyXOwZ0ZwyBIB8fA0UNVTZR1MXB0fHwwCaF+FNe1sDankqXjY7u93s3OivQZqRKkCzGUehWkn3feed1uo1Kp+OCDD/q8ICGEEIPENXC0Knto1yGEEEIIIcQgSQjzQ6NWYbTYqWg0EescEOlNXFXj8aF6jwX9CcOwIj3H2dYlLkQ/bNqZuP6eSrsI0lUqFUvHx/LKr7l8s7es2yDdYLKyt6QegBkp0h9diKHUqyA9JCRkoNYhhBCih1QqFQkJCe7P+8xVkV6VA3YbqLs/pVAI0TMe20+FEANC9lEhvN9A7ac+GjWJYX7kVzeTV93knUG6h/ujt76u4dQjPavMAMCoYVKNDo7QH6Csvuuf88njY3jl11xW76/AYrPjo1F3uu32glrsimNgbFyI5/4mhBC916sgfcWKFQO1DiGEED2kUqkIDAzs/xWFjgCtHqxGqM2DiJH9v04hBODB/VQIMSBkHxXC+w3kfpocEUB+dTP51U3MTosYkNvoD1fVeIKH+qO3vq76FgsGk5VA3z51+h1UrkGjo4fBoFGXWGfQ3VVFOjh6nYcH6KhpMrMpt4Z56ZGdbiv90YXwHp0f8hJCCHF0U2sgMsPxuQwcFUIIIYQQx4jUCH8A8rx04Ki7Ij3U32PXGaT3cbdHGS590rOcg0YzoofPgc+4YGdFekPXQbpGrWLJ2GgAvtlb1uW2m3Od/dElSBdiyEmQLoQQw4yiKNTX11NfX4+iKP27skgZOCrEQPDofiqE8DjZR4XwfgO5nya7Bo5WNXn0ej3FXZHuwdYu0LpPunceQDjS8KxI775HuourN/q3e8s7/Ru32OxsL3RVpEt/dCGGmgTpQggxzCiKQllZGWVlZf1/UxE1xvFRBo4K4VEe3U+FEB4n+6gQ3m8g99OUSC+vSB+A1i5wOJgfDhXpVQYT1U1mVCpIH04V6c4gvcpgwmy1d7ntvPRI/HUayhqM7Cqq73CbPcX1GC12Qv19GBk1fH4OQhytJEgXQohjWZRUpAshhBBCiGOLqyI9v7rJ6w6m2e2KO0hPHKCK9KI67w/SXdXoI8L98dd5fz93l/AAHTqNGkWBisauq9L1PhoWjo4COm/vssXZH316cjhqtQzHFmKoSZAuhBDHMneQng1e9iZCCCGEEEKIgZAU5o9aBc1mG5UG01Avp42qJkcls1p1uE2IpyQOo4r0bGd/9FExw6etCziG5Lp+b2W9aO/SWZC+Kc/VH13augjhDSRIF0KIY1l4Gqi1YGmC+qKhXo0QQgghhBADTqdVu9uc5HtZe5eSOkf4GhOsx0fj2cjGXZE+DIL0rHIDAKOHWZAOEBvc8z7pi8ZE46NRcbCyiQMVhjaXKYrCFleQniqDRoXwBhKkCyHEsUzjA+EjHZ9XZQ3tWoQQQgghhBgkKc72LrleNnDUVS0e7+H+6NCqR/owau0yahgNGnXpTUV6sN6HOSMjAfh2X9uq9IOVTdQ2W9D7qJkQH+L5hQohek2CdCGEONa527tIkC6EEEIIIY4NyRGOgaP51V4WpNc5KuQ9PWi09XVWNpowWmwev35PURTF3dplOFakuwaO9qQiHWDp+BgAvtlb3ubrm53V6FOSQtFpJb4TwhvIniiEEMe6qDGOjzJwVAghhBBCHCNcFel5XtbaxVWRnuDhQaPgGITp56MBeh7yDoXSeiONJitatYrUyIChXk6vuSvSG3pW+X/S2BhUKthZWNemin2zuz+6tHURwltIkC6EEMOMSqUiPj6e+Ph4VCoPTG5vPXBUCOERHt9PhRAeJfuoEN5voPdTV5DufRXpziB9ACrSVSrV4fYuXtwnPcvZ1iU1MmBYVmL3tiI9OljPcUmhQNv2LhKkC+F9hvQR6aGHHmLGjBkEBQURHR3NOeecQ1ZW29YCRqOR5cuXExERQWBgIOeffz7l5W1PdykoKOD000/H39+f6Oho/u///g+r1dpmmx9//JGpU6fi6+tLeno6K1eubLeep59+mpSUFPR6PbNmzWLTpk29XosQQgw0lUpFUFAQQUFBHg7SM0FR+n99QgjP76dCCI+SfVQI7zfQ+2lKpLO1S1Uzihe9Bi4awIp0OBzQu1rIeCNXW5fh2B8dIDbE8TPuSY90l6XjYwH4Zm+Z+3sLa1pQq+C4EaEeX6MQom+GNEj/6aefWL58ORs2bOC7777DYrFw8skn09R0+IjwnXfeyWeffcZ7773HTz/9RElJCeedd577cpvNxumnn47ZbGbdunWsWrWKlStX8sADD7i3yc3N5fTTT2fRokXs2LGDO+64g+uuu45vvvnGvc0777zDXXfdxZ///Ge2bdvG5MmTWbp0KRUVFT1eixBCDEsR6YAKjHXQVDnUqxFCCCGEEGLAJYb5o1JBo8lKdZN5qJfj5qpITxyAinRgWFSkZ5cbgOHZHx0OV6RXNJqw2uw9+h5XkL7hUA31zRZ3Nfq4+GCC9D4Ds1AhRK8NaZD+9ddfc/XVVzN+/HgmT57MypUrKSgoYOvWrQDU19fz8ssv88gjj3DiiScybdo0VqxYwbp169iwYQMA3377Lfv27eP1119nypQpnHrqqfztb3/j6aefxmx2PBk+99xzpKam8r///Y+xY8dy6623csEFF/Doo4+61/LII49w/fXXc8011zBu3Diee+45/P39eeWVV3q8FiGEGAyKotDY2EhjY6Nnqmd8/CAsxfG59EkXwiM8vp8KITxK9lEhvN9A76d6Hw3xzsphb2nv0mC00Gh0nF0/0BXpRXXeHKQ7K9KHaZAeGeiLRq3CZleoMvTsIE1KZACjY4Kw2RVWZ5azxRmkT0+Wti5CeBOvajZVX18PQHi444Fi69atWCwWlixZ4t5mzJgxjBgxgvXr1wOwfv16Jk6cSExMjHubpUuX0tDQwN69e93btL4O1zau6zCbzWzdurXNNmq1miVLlri36clajmQymWhoaGjzTwgh+ktRFEpKSigpKfHcmwr3wNGsrrcTQvTIgOynQgiPkX1UCO83GPtpcoSjvUtelXe0OXFViYf5++Cv0w7IbSQ6A/oiL61It9kVciocQfroYdraRaNWERPkC0BZQ8/bu5w83pFr/XqgiopGE+EBOmamSpAuhDcZmEfmPrDb7dxxxx3MmzePCRMmAFBWVoZOpyM0NLTNtjExMZSVlbm3aR2iuy53XdbVNg0NDbS0tFBbW4vNZutwm8zMzB6v5UgPPfQQDz74YA9/AkIIMYSiRkH2VxKkCyGEEEKIY0ZKZADrDlZ7TUV68QD3R4dWPdK9NEgvrGnGaLHjq1UzItx/qJfTZ7EhekrqjZTVt4BzkGh3zpocz6TEEOalR1JtMBMRqMNs7VlrGCHE4PCaivTly5ezZ88e3n777aFeisfce++91NfXu/8VFhYO9ZKEEKJj7op0ae0ihBBCCCGODSmuivRqL6lId7ZbSRig/uhwOKQvazD2uH/3YMpytnXJiAlEox6+w6DjnG2DSnsxcHREuD+7iuqZ/dBq5j/8A7MfWs2KX/MwWWwDtUwhRC95RZB+66238vnnn/PDDz+QmJjo/npsbCxms5m6uro225eXlxMbG+vepry8vN3lrsu62iY4OBg/Pz8iIyPRaDQdbtP6Orpby5F8fX0JDg5u808IIbxS5GjHx6rsoV2HEEIIIYQQgyQ5IgCAPG+pSHcH6QNXiR0dpMdH4+jfXd5oGrDb6avssuHdH90l1jlwtKyHQXqL2cozPx7kyTUHaGhx9MlvaLHy+OocnvnxIM1m64CtVQjRc0MapCuKwq233spHH33EmjVrSE1NbXP5tGnT8PHxYfXq1e6vZWVlUVBQwJw5cwCYM2cOu3fvpqKiwr3Nd999R3BwMOPGjXNv0/o6XNu4rkOn0zFt2rQ229jtdlavXu3epidrEUKIYStqlOOjoRxaaod2LUIIIYQQQgyCFGeQnlvV5BXzEgajtYtGrXJXS3tje5esYT5o1CXOGaT3tCJdo1azYl1uh5etWJeLVu0VdbBCHPOGtEf68uXLefPNN/nkk08ICgpy9xoPCQnBz8+PkJAQrr32Wu666y7Cw8MJDg7mtttuY86cOcyePRuAk08+mXHjxnHllVfy8MMPU1ZWxv3338/y5cvx9XUMd7jpppt46qmn+P3vf89vfvMb1qxZw7vvvssXX3zhXstdd93FsmXLmD59OjNnzuSxxx6jqamJa665xr2m7tYihBDDlm8QBCdAQzFUZsOIWUO9IiGEEEIIIQaUqwd3o9FKXbOFsADdkK6naBBau7iuv6CmmeK6ZsC7hllmO4P00cM8SO9tRXqj0eKuRD9SQ4uVRqOFiEBfj61PCNE3QxqkP/vsswAsXLiwzddXrFjB1VdfDcCjjz6KWq3m/PPPx2QysXTpUp555hn3thqNhs8//5ybb76ZOXPmEBAQwLJly/jrX//q3iY1NZUvvviCO++8k8cff5zExEReeuklli5d6t7m4osvprKykgceeICysjKmTJnC119/3WYAaXdrEUKIYS1qtDNIz5QgXQghhBBCHPX8dBriQvSU1hvJq24a8iDdVSGeOIAV6XC44t3bKtLNVjuHKh1tdkbFDu8g3V2R3tCzn3GQ3odgP22HYXqwn5YgvY9H1yeE6JshDdJ7cuqUXq/n6aef5umnn+50m+TkZL788ssur2fhwoVs3769y21uvfVWbr311n6tRQghBppKpXLPZlCpPDiAJ2oMHFwDlVmeu04hjlEDtp8KITxC9lEhvN9g7afJEf7uIP24EWEDdjvdMVpsVBkcPcvjB6EiHaDIy4L0vOomrHaFQF8t8c4geriKdbbPKa83YbcrqLsZnGqz27lmbiqPr85pd9k1c1Ox2u3ovGPMoRDHtCEN0oUQQvSeSqUiJCTE81cc6eyTXiVBuhD9NWD7qRDCI2QfFcL7DdZ+mhIRwIZDNeRVNQ/4bXXF1Uvbz0dDmP/AVh+7K9LrvCtIz3IPGg0c9gc5o4N8UanAbLNT02wmspu2LH46LbcsHAk4eqI3tFgJ9tNyzdxUblk4El8fzWAsWwjRDQnShRBCOESNcXyUinQhhBBCCHGMSHYOHM2vbhrSdbQeNDrQIXJiqHe2dnH3Rx/mbV0AfDRqogJ9qWg0UVZv7DZIB/D10XDjgjSWL0qn0WghSO+D1W6XEF0ILyLnhQghxDCjKAoGgwGDwdCjFlk9FjXa8bG+EEwGz12vEMegAdtPhRAeIfuoEN5vsPbTlAjHwNG86qGtSHcM/hz4QaMAiWH+ztts8arHwMMV6cM/SIdWfdJ7OHAUwF+nRadVExHoi06rxl8n9a9CeBMJ0oUQYphRFIXi4mKKi4s9+8LXPxwCohyfV2V77nqFOAYN2H4qhPAI2UeF8H6DtZ+mRHpfRfpAiw3Ro1KByWqnymAe8NvrKXdF+lESpMc6g/Syeu+q/BdC9J0E6UIIIQ5ztXeRIF0IIYQQQhwDkp0V6bXNFuqbLUO2jiJnv/LBqEjXadXEBDlCXm/pk95itpFf46jKzzhKgvQ458DR3lSkCyG8mwTpQgghDnMNHK3MHNp1CCGEEEIIMQj8dVqigxz9q/OGsCrdVZGeOAgV6dBq4KiX9Ek/UGFAUSA8QEdkoG6ol+MRMcGuinQJ0oU4WkiQLoQQ4jAZOCqEEEIIIY4xKc6Bo0MapA9iRXrr23H1Zh9qrrYuo2ICB3zY6mDpS490IYR3kyBdCCHEYVGuinQJ0oUQQgghxLHB1d4lf4gGjtrsirtqeTB6pLe+nSIvqUg/2vqjQ6se6Q0SpAtxtJAgXQghxGGuivTaXLDICz4hhBBCCHH0cw0cHaqK9PIGI1a7glatItrZu3yguSvSvSRIz3JVpMcePUH64Yr0FhlsLcRRQoJ0IYQQhwXGgG8IKHaoOTjUqxFCCCGEEGLAuVu7VA1NkO5q6xIXqkejHpy2Ju4e6V4ybDS77OirSHf1SDda7NS3DN0gWyGE52iHegFCCCF6R6VSER0d7f7cw1cOUaOhaJNj4GjMeM9evxDHiAHdT4UQ/Sb7qBDebzD306Fu7eKqCh+s/ugASV40bLTBaKHE2dom4ygK0vU+GsIDdNQ0mSmtNxLqf3QMURXiWCYV6UIIMcyoVCrCwsIICwsbmDcVUaMdH6VPuhB9NuD7qRCiX2QfFcL7DeZ+6grSq5vMNBgHv3L48KBR/0G7zXhnaN9osg55tXSOs61LXIieED+fIV2Lp8U6q9LLZOCoEEcFCdKFEEK0JUG6EEIIIYQ4hgTpfYgMdFQLFwxBVXqRuyJ9cPqjA/jrtIQHOO7zUFelZ5UZgKOrGt0lTgaOCnFUkSBdCCGGGUVRaG5uprm5eWCG1rgGjkqQLkSfDfh+KoToF9lHhfB+g72fuvukD8HA0RJXRXrY4LV2gVYDR4e4T3p2uas/euCQrmMgxLoHjkqQLsTRQIJ0IYQYZhRFobCwkMLCwoF5UxE5yvGx+gDYrJ6/fiGOAQO+nwoh+kX2USG832Dvp8lDOHB0KFq7OG7PEaQX1Q5Nb3iXLOeg0VFHc0V6/dD3ohdC9J8E6UIIIdoKSQIff7BboDZ3qFcjhBBCCCHEgEtx9knPG+TWLoqiHB42OtgV6V4ycDSnwlmRHnv0BemxIY6fsVSkC3F0kCBdCCFEW2r14ap0ae8ihBBCCCGOAcmRjor0/EFu7VLbbKHFYgMOVy8PFm9o7VJlMFFlMKNSQXr00dfa5XBFugTpQhwNJEgXQgjRnnvgaObQrkMIIYQQQohBMFQV6a5q8KggX/Q+mkG97cSwoQ/SXf3RR4T746/TDtk6BkqsBOlCHFUkSBdCCNGeO0iXinQhhBBCCHH0c/VIr2w00WQavDlBxXWO4N5VHT6YvKG1S/ZR3B8dIDbYEaQ3mqw0Gi1DvBohRH9JkC6EEKK9SGeQXiVBuhBCCCGEOPqF+PkQHqADIG8Q27sUDVF/dIBE53DT6iYzLWbboN8+QFa5AYDRR2mQHuCrJVjvqLQvb5CqdCGGOwnShRBCtBc1xvGxMhvs9qFdixBCCCGEEIMg2dneJX8Q27u42qokDkFFerCflkBfbZt1DDZXa5dRR+GgUZc4GTgqxFFDgnQhhBhmVCoVUVFRREVFoVKpBuZGwlJAowNrC9QXDsxtCHEUG5T9VAjRZ7KPCuH9hmI/TXG2dxnMivTiIaxIV6lUQzpwVFGUVq1djr5Boy6uPukSpAsx/B19kxyEEOIop1KpCA8PH9gb0WghIh0q9jn6pIclD+ztCXGUGZT9VAjRZ7KPCuH9hmI/dVekVw1+RfpQ9EgHR4CfVd5IUe3gDlkFR7DcaLKiVatIizx6g/Q4GTgqxFFDKtKFEEJ0zD1wNHNo1yGEEEIIIcQgSI0cgor0uqGrSIfDAf5QDBx1tXVJjQxApz164ympSBfi6CEV6UIIMcwoioLR6HgRptfrB+5UVxk4KkSfDdp+KoToE9lHhfB+Q7GfJg9ya5cmk5W6ZgswtBXpMDStXY6F/ujQuiJ9aPrQCyE85+g95CeEEEcpRVEoKCigoKAARVEG7obcFekSpAvRW4O2nwoh+kT2USG831DspynO1i7lDSaazdYBvz1XeB2s1xKk9xnw2+tIYtjQVaRnlRkAGB1zdAfpsTJsVIijhgTpQgghOuYO0rNBQgYhhBBCCHGUC/XXEeLnCLQLaga+Z7grvI4fomp0YEiHjbor0o/yIN1dkd4gQboQw50E6UIIIToWkQ4qNZjqobFsqFcjhBBCCCHEgHNVpecNwsDRImd4nThE/dHhcGuX8gYjFpt90G7XZlfIqXAE6aOP8tYuMcGOIL2u2UKL2TbEqxFC9IcE6UIIITqm9YXwNMfn0iddCCGEEEIcA1KcA0fzB6FPeolr0OgQVqRHBvii06qxK1A2iK1HCmuaMVrs+GrVjAj3H7TbHQrBei3+Og0gVelCDHcSpAshhOhcpPRJF0II0TMtZitmq51qgwmz1T4o/YWFEMLTBnPgqKu1S8IQVqSr1Sp3kF9YO/BV+C5ZzrYu6dGBaNRH98BnlUpFrLO9S6kMHBViWNMO9QKEEEJ4sajRkPUFVGYO9UqEEEJ4MZPFxnM/HWLFulwaWqwE+2m5Zm4qtywcia+PZqiXJ4QQPTaYrV2K3RXpQ1uRnRDqR25V06AOHM0uc7Z1Ocr7o7vEheg5VNk0qFX/QgjPkyBdCCFE51oPHBVCCA9qMVvRqNU0Gi0E6X2w2u346+Sl6XDUYrby3E+HeHx1jvtrDS1W9/9vXJAmv1shxLDhqkgfjNYu3lCRDkMzcDS7wgDAqKO8P7pLbLDjZ1wqQboQw5q8ohVCiGFGpVIRERHh/nxAuYN0qUgXojcGdT8dhqR6efhTFIWaJjNlDUbSowNZsS63w+1WrMtl+aL0QV5d92QfFcL7DdV+6qpIL6k3YrTY0A/Q85LZaqe80RGqDmWPdDg87FQq0gdOnLO1S7n0SBdiWJMgXQghhhmVSkVkZOTg3FjkKMfH5ipoqoaAiMG5XSGGuUHdT4cZqV4eeJ6o9rfZFcoajJTUtVBc20JxXQtFzo/Ftc2U1BlpsdgYHRPES8um09DScT/0hhYrjUYLEYG+nrhrHiP7qBDeb6j20/AAHUF6LY1GK4U1zWQMUNBbVm9EUcBXqyYyUDcgt9FTror4wapIN1vtHKw8xirS3T3SJUgXYjiTdylCCCE6pwuAkBFQXwBVWRAwd6hXJIQYphRFobbJTIBeO+yql4eTnlb7Gy02R0jeKigvrm2hyPmxrMGIza50e3sKCpGBvgT7aTsM04P9tATpfTx6H4UQYiCpVCpSIgLYXVxPblVTj4P03h7ELKpz9GBPCPUb8jNjBru1S151E1a7QqCvlnhnwHy0c1WkS490IYY3CdKFEGKYURQFs9kMgE6nG5z2LvUFjvYuyRKkC9ETg76fehGT1UZ+dTOHKg0crGziUGUTh6oMHKpsIjZYPyyrl4eLrqr9FRQWjoriwc/2UVzXQpXB3O31+WhUxIX4kRDqR0KYH/GhfiQ6P08I9SMuVI+vVkOL2co1c1Pb3K7Lsjkp5FQ0kh4diK/We9r2HMv7qBDDxVDup8kR/uwurie/umcDR/vSssxb+qO3XkNpnRG7XUGtHtifdZazrcuomMBj5vFXKtKFODpIkC6EEMOMoijk5eUBkJGRMThB+oHvZOCoEL0w6PtpP/W2ik5RFMobTI6wvKqJQ5UGd2BeXNtCZ4XMWo2KiEBdl9XLAb5aDlYYGBkd6Km7d8zQqNWdVvuvXJfHTQtGUljbQk2TI5jy12ncIXnrj4lhfiSE+hMV5IumB2GKn07LLQtHArQJka6ek8KyuSlc9PwGfDQqHr14CmPjgj13h/thuO2jQhyLhnI/TXEOHM3rwcDRvrYsc1V/D3V/dIDYYD0atQqzzU6lwURM8MBWiWeXO/ujHyNtXQDiQhy/5yqDCbPVjk6rHuIVCSH6QoJ0IYQQXZOBo0Ic1bqqorMriqOq/IiwPLeyiSazrdPrDPLVkhYVQFpUIGmRzo9RAaRGBqAoSpfVy2uzK7nhta0sGRvNTQtGMj0lfCDv/lEjt8qAXqvpptrfypOXHkeInw8JoX6E+vt4LJhSAadOiOXGBWnUNJkJD9CRX93M3pIG6lvMVBnMnP3Ur/xu6SiuPT6tRwG9EEIMlWTnwNGeVKR3dRCzq5Zl7op0LwjStRo1scF65zyM5gEP0l0V6RnRx06QHubvg06rdgyZbTCSFO4/1EsSQvSBBOlCCCG6FjXG8bFKKtKFONp0VUVnVxQmJoRww2tbO/xejVpFUphfu7A8LSqAqEDfLgPajqqXr5mbyo0L0vjvN1moVPD9/gq+31/B9OQwblowkhPHRA/4qebDjdVm59t95axal0dOhYFf7lnUZbV/mL+OeemeH9zX+u8oPEBHVKAvlQYTNU1mbl+cwUe3zOXBz/bz/f5y/vllJqv3V/C/iyaTGCYhghDCO6VG9rwivdFo6VPLMndFuhe0dgFHoO8aLD0teWBv61isSFepVMSF6MmvbqZMgnQhhi0J0oUQQnQtcpTjY0MxGBtA7x2n5Qsh+q+rKrpV6/PYcO9i0iL9CQvwbROWj4wKYER4QJ9PS+6selmrUvHAmeO5YnYyL/58iA+2FrMlv5brXt3CqJhAbjxhJGdNicdHc2yfDl1lMPH2pgLe2Fjg7rWqUavILGvstNr/mrmpWO12dHjmZ2e02MitaqKgupkFo6Pcf0c1TWZ36xg4XI354lXTeHdLIQ9+to+NuTWc+tjP/OWs8Zw3NUHaqgghvE6ys7VLSV0LJqutyxkPQXqfPg1c9qbWLuAM9PMGfuCo0WIjv8ZR6T+qh4NcjxaxwY4gXfqkCzF8SZAuhBCia36hEBgLhjKoyoHEaUO9IiGEh9S3mLusomsx21jzu0Uevc3uqpdvXJBGWlQgD503iTuXjOKVX/N4Y0M+2eUG7n5vJ//7Notr56dxyYwkAnyPrZeyOwrrWLUujy92lWK22QGIDNRx6cwRXDZrBHEhfox39iDvzcC7rhhMVg5UGDhQYSCnopGDzs8LapqxKzA6Johx8cE9qsa8eMYIZqdFcNe7O9maX8vd7+3k+/3l/OPciYQH6Pr+gxFCCA+LDNQRoNPQZLZRWNNCeidzO+qbLewrrWfZnBSeXHOg3eXL5qTQYrG1O/BstyuU1jnC1HgvCdITnZXxrpYzA+VAhQFFgfAAHZGBx9Zjf5xz4GhZ/cD+jIUQA+fYevchhBCib6JGOYL0ykwJ0oU4CiiKwgfbijhtYlyfquj6o3UVfEfVyzcvHMna7ApGRgcRH6LnD6eO4ZZFI3ljQwGv/JpLSb2Rv32+jyfX5HDVnBSunptyVIewRouNL3aV8ur6PHYW1bu/PiUplGVzkzltYlybSklfHw3Xz09l+aJ0GowWgvU+mK22bkP0aoPJEZhXGsgpN3Cw0hGYd1U1F6zXEhfiS1SQb7cDZEvqmokP9Sc5IoB3b5zDcz8d5NHvsvlqTxlb8mv5zwWTWDg6ug8/ISGE8DyVSkVyRAD7ShvIr27qMEivb7ZwxcsbaTbbeO+mOahVqjYHMZc5n6N+9+4O/n3B5DbPVZUGE2abHbUKYkMGth95T7kq4we6It3VH31UTOAxd0ZSrHPgqFSkCzF8SZAuhBCie1FjIHetDBwV4ijQYrbxx4938+G2YkL8fLh6TgpPdFBF58lWIEaLja/2lLL+QDW3Lc7osnq5ymDiH19kklXeSJBey9jYYMbEBTEmNpgnLz2OzNIGVq7LI6+6mSdW5/DC2oNcPD2J6+anHVX9RkvqWnh9Qz5vby50H2zQadScMTmOZXNSmJwU2uH3mSw2Xvw5l493FKHXajFarZwzJZFbFo5Ep1VT1mAkp9zgDs0PlDs+tj6gcaSoIF/SowJJjw4kIybQ/XlUkKMXfovZ2u0A2eVvbuPSmSO4dVE60cF6li9KZ8GoKO54ZwcHKgxcvWIzV85O5t7TxuCvk7coQoihlxrpCNLzOhg46grRdxfXEx6go77Zwo0L0li+KJ1Go4UgvQ+NRgs3vb6VzXm1FL20kTevm0WYM0wvclZ9xwbrvaZdWcIgVaS7+6MfY21doHVFugTpQgxX8ipVCCGGGZVKRVhYmPvzQeHqky4DR4XokSHZT3sgt6qJm1/fSmZZIxq1itomM8sXpaM6ooquP61AXBRFYXdxPe9sLuTTnSU0Gq2EB+j4y9nju6xejgz0JdTfB61aRaPRyqa8Gjbl1bi3UalgRJgfUxJDKW1oobzBxKr1+by+sYAzJ8Vx44KRjI3reJZDi9mKRq12hxxWu92rQltFUVh/qJpX1+Xz7b4y7Irj6/Ehei6fncwlM5I6HFjn0tHwWMA9PHZKUijXrtrS6fcnhvk5wvJoR1CeHh1IelQQIf5dn5ngp9N2OUD2z5/uwWJTeHV9Pu9sLmTZ3BRuWjCSCQkhfH7b8fz760xW/JrHaxvy+fVAFY9cPIUpnRwo8BRv3UeFEIcN9X6aHOE4OJt/xMDR1iF6RICON6+fTWpUgPty1+N0RKAvD503iUtf3MD+0gYuaxWml3jZoFFoW5GuKMqA/cyznEH6qGNo0KiL6+wDb6tI9/bXR0J4E9kzhBBimFGpVERHD/Lp71FjHB+lIl2IHhmS/bQb3+wt43fv7qTRZCUy0JenLjuO2WkRAO2q6Kx2e59D9JomMx9vL+bdLYVkOk/fBkdIe+G0JExWe5cDMe2Kwjs3zsFstXOw0kBmWQOZpY3sK20gs6yRykYT+TUt5Ne0rZiz2RU+3lHCxztKyIgO5IrZyZxzXDwhfo7qP5PFxnM/HeqwUrs/Bww8oclk5aPtxby6Po/scoP763PSIlg2N5klY2PQ9qBisbvhsTcvXEx0kC9Beq0zMA9yB+ZpUQH9etPs66Pp8O/IX6flPxdM4dzjEvnvN1lsK6jjhbWHeGNDPtcen8p1J6Tx5zPHs3hMDL97byeHqpo4/9l1/PbEDJYvGtmj+90X3riPCiHaGur9NMU5cDS36nCQXt9s4fKXN7CnuMEdoo/uIhBOjw7kretncckLG9lf2sDlL23kjetmed2gUTjcq73ZbKO22TJgbdOyy6Qi3Zsq0l2vjzxdUCHE0UqCdCGEEN1zBem1+WBpAR/vedEvhOia1WbnP99m8fxPhwCYkRLG05dNJTr4cE9WV4DqqqLrbTsXm13h55xK3t1SyHf7yrHYHKXUOq2aUyfEctH0JOakRaBWO6rbOqtebv2mTadVMzYu2FFdftzh26oymMgqa2S/M1jPLGsgu9yA2Wp3b5NTYeDPn+7lz5/uJdxfx/NXTmVvaQMTEoK5ccEJVBvMRATq+CWnirc3F3Lh9MQBq7zqqsort6qJV9fn8f6WIhpNjgp9f52G86YmcNWcFEb1MGQoqWvhx8wKThgd1WXbnGaTjV/vOREf7cCE0139Hc0dGckHN0fwY1Yl//02i70lDTyx5gCr1udzwwlpXDMvhW/uOIH7P9nDZztLePT7bNZkVfDoRZNJi+p4yJ8QQgykwxXpjtYudc1mrnh5Y49DdJf06CDeun4Wl764gX2lDVzx8kbGxzvOnPKminS9j4bIQF+qDCaKa1sGJEhvMFoocYbIGcdgkO6qSK9oNGK12QfsYHFPdXQmW0OL1f3/GxekSWW6EEeQPUIIIYYZRVGwWh1BiVarHZxTXQMiwS8MWmqhKgfiJg38bQoxjA3JftqBikYjt725nY25jtYo189P5fenjPFYP9aC6mbe21rI+1uL2pymPCEhmIunJ3HW5IQO24J0Vr3ck8qnyEBfItN9mZce6f6a1WYnt6qJ/WWNbDxUzY9Zle5qv5pmM0//cJBHLp7Mil/zuPu9nW0GwV0zLxWtemDeyHZW5XXDCWn87fN9vL250L1tamQAV85O5vxpiYT4dT/k1Wix8c3eMt7fWsQvB6oI89dxztSELtvmBPv5DFiI3hMqlYpFY6JZMCqKb/aW8ch32eRUGPjPN1ms+DWXmxem858LJrFkbDR/+ngPOwvrOP2JX/jj6WO5fNYIj+5H3rKPCiE6N9T7aUqkoyK9qLaZykYj16zc7A7R37phdo8PdoIjNH7r+tlc+uIG9pY0uMP5hFDvmu2REObnCNLrmpmYGOLx689xtnWJDdb36LnuaBMZ4ItWrcJqV6g0mIgLGdoDKV2dybZiXS7LF6UP8oqE8H4SpAshxDCjKAqHDjkqSzMyMgbnTYVK5ahKL1jv6JMuQboQXRqS/fQIm/NqWP7GNioaTQT6ann4gkmcNjGu39frGhz67uYi1h+qdn89xM+Hc49L4MLpiYyP7/7Nd3+r4FvTatRkxASRERPEWZPjAahsNPH8Twd5a1MBl88ewYpf83iy1VDVhhar+//L5qTw/f4ypo4IZ0SEP2qVCrUKNGpVn393XVV52RWFE8dE886WQhaNjmbZ3BTmp0e6K/Y7oygKOwrreG9rEZ85+867jIoJpKLB1GXbHE8Nj+0vtVrFqRPjOHl8LJ/uLObR73IoqGnmb5/v48W1h7htcTqf33Y89360m18PVHP/x3v4fn85D58/qc2ZFP3hDfuoEKJrQ72fRgf54uejocVi49IXN3CgoonIQEclem9CdJeMmCDevH42l76wgWrngOdQLwuTE8P82FlY5x6G6mlZZY72Zcdif3RwPP/FBOsprmuhtN445EF6o9HS5ZlsjUZLl7NZhDgWSZAuhBCiZyJHOYJ06ZMuhFdTFIWXf8nloa8ysdkVRsUE8uwV0xjZj/YYHQ0OBccxtuPTI7loehInjYtB70W9NKOCfLn/jHHcsSQDrUbN3e/t7HA7R+/wkTz8TTY1zmCjNZUK1CoVGpUKlTNcb/25WqVC7fyaWuV4kxzmr+PdG+d02a98031LWPt/C0kKD+hwm9YqGo18tK2Y97cWkVNxuId6QqgfF0xL5PypiYxwtiDoSdscb6FRqzj3uETOmBTP+1uLeGJ1DqX1Rv740R5GhPtz24npLBodzcPfZPFjViVLH1vLQ+dN5JQJ/T8gJIQQ3VGpVCSF+5Fdbuh3iO4yKiaIN6+fxSmP/YwCPPp9NvPSI7sd6jxYElsNHB0I2eWu/ujHbsuu2BBHkO4NfdKD9D5dnskWpPeOv0shvIkE6UIIIXpGBo4K4fUajRbu+WAXX+4uA+DsKfE8dN7EbvtbdtbHu7vBoRdMT/SqQWkdCdT7UGUwdVlxVdNkJirQt8MgXVHApijYUHp8mwE6bbe32WSydhmim6121mSW896WIn7MrsRmd9y+3kfNqRPiuHBaIrNb9Z136U/bnKHio1Fz6cwRnHtcAm9tKuDpHw5QUNPM/72/i/ToQO45ZTQfbitmb0kDN72+jfOnJvLns8YRLG/whRADqK7Z7G5bFqDT8Nb1sz3S1zs22M/9jJJTYeDKVzby2rWzvKLViatne/EAVaS7gvT+HIwY7lx90ku9IEi32u1cPSeFJ1qdsefiTWeyCeFNJEgXQgjRM1GjHR8rs4d2HUKIDmWVNXLz61s5VNWEj0bFA2eM44rZyd2eCt9ZH+/fHJ/KZS+uJ9N5GnZng0OHg+BuKq6ig/R8ets8aprMrM2uZE1mBb/mVGEw29zb+WhUTEsOY+7ISGanhRMR6IvdrmBXHMNW7Yrjn82uoFapiA727VOV196Set7fWsQnO0raBPtTR4Ry4fQkTp8U122A7Mm2OYNJ76PhmnmpXDwjiVXr8nnup4McqDDwt8/3MzY2iNMnxvLVnjI+2FbEhkPVPHP5VEbFBHY6zFUIIfqqrtnM5S9tdJ+BddK4GI8Nxyyqc/RHD/HzQaNWsauonitf9o4wPWGwKtKP0dYuAHHOFmVl9QPzM+6N9QerWTY3BQXH2XLefiabEN5AXmUKIYToGVeQXnMQbBbQDH3VjBDC4ePtxdz74W5aLDbiQvQ8c/lUjhsR1u33ddfH+66TRvPEmpwuB4cOBza7vdve4f46LXEhflw8YwQXzxiB2Wpnc14N3+8v5/v95RTWtLDhUA0bDjkGt46PD2bx2BhOGhvDhITgdgcsWszWHvcrr20y8/GOYt7bUsS+0gb3dtFBvpw3NZELpiWSHn3snAbvr9Ny88KRXD57BC//nMvLv+Syv6yR/WWNjIoOpLbFgt5HQ2KYH8/+eJCV8uZfCOFBtU2OEH1faQOBvhoMJht1LRaPXb+r2js5wp+HL5jEZS9uZFdRPVe9vJFXhzhMd1ekD0CQXmUwUWUwo1JxTD2nHclbKtIrG03c/d5OIgJ8eeby47jtxIxhcyabEENJgnQhhBA9E5wAukAwG6Dm0OFgXQgxZExWG//4Yj+vrs8HYH5GJI9dPKXHg6E0anWXfby3/HEJJ4+P9dh6h4qfTtvr3uE6rZp56ZHMS4/kgTPGkVNh4Pv95azeX8G2glr2ljSwt6SBJ1bnEBPsy4ljYjhpXDRzR0ai99F0e5satcrduuX7/eVYbI4T/XUaNUvGRXPhtCTmZ0Si1QyPavKBEKz34c6TRnH13BSeW3uQVevyyHb2iH/kosmsXNd+gKzrwMWNC9KkMl0I0WutQ/TIQF/+cMpofvf+LvKrmz12G66QOiHUjzGxwbxx3Swue3EDO4vqueqVTbx27cwha13lqkiva7ZgMFkJ9PXc46irGn1EuP+weXzurPVdf7gGjJY3DF2QrigKf/p4D3XNFuJD/EiLCsRHox52Z7IJMRSGx6OXEEIIj+jXi0GVyjFwtGSbo0+6BOlCDKmSuhZueWMbOwrrAPjtiencvmQUml60XKlvMXfZx7vRaCUi8OioSOpP73CVSsWomCBGxQRxy8J0qgwmfsis4Pv95fycU0V5g4m3NhXw1qYC/Hw0HJ8RybnHxXPimBhOnRDLjQvSqGkyEx6gI7+6GYvdzpUvb2ZTXq37NiYkBHPhtCTOmhxPWIBuIH8Uw05YgI57Tx3LtfNSeebHg3y1u4yZqeEsf3Nbh9uvWJfL8kXpg7xKIcRwd2SI/tb1swjUO14nF9Y0Y7XZPXJw01WR7gqtx8YF88Z1s7n8pQ3sLKzjypeHLkwP0vsQrNfSYLRSXNvi0RYs2WXDqz96Z63v+nvWkzdUpH+xu5Sv95ahVav4z4WT8DmGD9oL0VsSpAshxDAUGhra6+/xyIvBqDHOID2r17cvxLGmL/tpT/2cU8lv39pObbOFED8fHr14MieOienx99vsCivX5XLpzBF96uM9XHmqd3hkoC8XTk/iwulJGC02Nhyqdlerl9Yb+W5fORdNT+TpHw7w5JoDhAfoiAr0pdJgoqbJzG0npnPd/DQOVO7mnCkJXDg9kbFxwR67n0er6GA9fzlrPMsXjaTRaO3mIJCl2zMzBnIfFUJ4xmDtp7VNZi57aSP7nSH62zfMIj06CLtdwVerxmS1U1zXQnJE50Oie8pVkR7falj3uHhHmH6ZM0y/yhmmD8XzcEKYPw2lDRTXNXcYpPe1MCer3HFG0agY72/r0lXrO+jfWU9xziC9vMGI3a4M+syZaoOJBz7ZC8AtC0cyPj5kUG9fiOFOgnQhhBhm1Go1MTE9D8zAgy8G3QNHJUgXoit92U97wm5XePqHAzzyfTaK4qhifvbyaSSF+/f4Ogprmrnr3R1szqtlRLg/V89J4YlW7TFcjuzjLTqm99GwcHQ0C0dH87ezFfaVNvBrTjXHp0dx93s7AahpMrcZHLpqfR6b/7iEDfcuRqeVn29vRQXpMVvt/ToINFD7qBDCcwZrP61xVqIfGaI71qAiOcKf7HIDedXNHg3SXf3IXRxh+iwuf2kjOwrruOqVTbz6m8EP0xPD/Nhf2uCunG+tP4U5rtYuw6EivavWd/096ykqyBe1Ciw2heomM1FBPWvH5yl//nQvNU1mxsQGceuJGYN620IcDeSVuxBCHAO6ezGoVffw6UCCdCGGTF2zmWtXbeZ/3zlC9EtmJPH+TXN7HKIrisJ7Wwo59fGf2ZxXS6CvFptdYfmidG5fnEGwn+NgWrCfltsXZ3DLwpHDpoept1CpVIyPD+GGBWk0m7uumDYYrRKi94PFZmfZnJQOL1s2JwWLzT64CxJCDEtdhegurvA8v7rJI7d5ZGuX1sbHh/C6c+Do9oI6lr2yiUaj5wad9oRrXUVHDBxtMVt55seDPL46x/385irMeebHgzSbO37OA8drEFeQ7sl2MQOl0Wjp9qynvvLRqN3hedkgt3f5ek8Zn+8qRaNW8Z8LJsvrECH6QN4dCSHEMKMoCjabDQCNRoNK1f3pgD15Mdij4YSuIL06B+w2UB8dvZOF8LS+7Kdd2V1Uz81vbKWotgVfrZq/nT2Bi2Yk9fj7a5rM3Pfhbr7eWwbA9OQwHr14ijuE72vvcNG5IL3PMdU2Z7BpVHDDCWmAo8LfVRm5bE4KN5yQRndnynt6HxVCeN5A76c1TWYue3EDmWWNzhB9NunR7duOpEY6gvS8qv4PHG0x26h2nqGUGNY+SAeYkBDirkzfVlDH1Ss2s+o3Mz06+LMrrnUdWZHenyrtsgYjjUYrWrWKtEjvb+0SqNcO6HN4bIgf5Q0mSutbmJg4OK1VapvM3P/xHgBuPCGtze0OxFBVIY5WsmcIIcQwoygKBw8eBCAjI6NHbyo8FuiEJoPGF6xGqMuH8LRerV2IY0Vf9lPo+I3Mj5kV3PHuTsxWOyPC/Xnm8qlMSOj5m64fsir4/fu7qGw04aNRcedJo7jxhJFthpJ6qne4OMxmt3PN3NQ2LbVcpG1O/+l1WtQWG6dPjOPmhSPbDHP11ajRdXMgqK/7qBBi8Azkfto6RI8K8uWt6zsO0QGSIxwHnT1RkV5S7winA3QaQvw6f/3dOkzfml/Lslc2DVqY7qpIL25VkW6y2Gg09X02RZZz0GhqZIDXV0G/tamAyEAdy+ak8GQHre+unpvS7+fwuGA9O3EcYBgsf/18H1UGE+nRgfx28eGWLgM1VFWIo5UE6UIIcQzwWKCj1kDkKCjfDZXZEqQL4UEdvZG5ek4Ky+amkBTmT2qkP/+7cAoh/j078NVitvHPL/fz2oZ8ANKjA3ns4im9CuFF3/nptNyycCSAvDkdIDofDSMi/NGq1QT6atGq1SRH+Hcbogshjm29CdEBUpytXXI9EKS727qE+XV7YMAVpl/24ga25tdy9SubWDkIYbqrd3tBdTPvbi7k+/3lNJutvHz1jD4X5rj7o3t5W5fnfjrIv77KZGRUIB/dMhe1StXmOXzZnBSWzUkhp9zA5KTQPt9OrHPgaOkgtXZZvb+cj7YXo1bBfy6YhN75PDmQQ1WFOFrJHiGEEMeAzgKdZXNSuP6EXr5AinIF6Zkw+pQBWrEQx5bO3sg8seYACvDM5ceRER2Eurt+FU47C+u4850dHKpyvOm/em4Kfzh1jPuNkxgcvj4aaZszwFzPXzqtzvFRqvyFEF3obYgOhyvSC2uasdmVNmd09ZZ70GgH/dE74gjTZ3P5SxvYkl/LNSs2seKagQnTHX3MDXzjbANX3WTm9x/sAiDAV8OvOVWdVmkvm5NCTkUjX+8u5caF6e3Wl1VmAGC0lw4aVRSFf3+dxXM/Oc6AWDo+hiC9tt1z+O7iOi56fgO1zWY+WT6vV8PeW4tzBumD0SO9vsXCfR/tBuC6+WkcNyLMfdlADlUV4mg1pK80165dy5lnnkl8fDwqlYqPP/64zeWKovDAAw8QFxeHn58fS5YsISenbTVlTU0Nl19+OcHBwYSGhnLttddiMBjabLNr1y7mz5+PXq8nKSmJhx9+uN1a3nvvPcaMGYNer2fixIl8+eWXvV6LEEJ4M1egs+WPJ7H1/iVsum8JExJCuOT59b07VTVqjOOjDBwVwmO6eiOzan0eqZGBPQrRrTY7T6zO4fxn13GoqomYYF9eu3YmfzlrvIToQ8Rfp0WnVRMR6ItOq5bKLiGEGCLVBlObEL2znuhHigvxQ6dRY7EplBwxgLO3Wlek99TExBBev24WQXotm/Nq+c2KzTSZOh/s2Rtmq51fD1Txl0/3csJ/fmDpY2t5+oeD7stHRgUwNjaIJpONf3yZyTXzUrntxPQ2A8pvOzGdq+em8Nu3dvDkDwdZ/N8f+XJ3KYqiuK/HXZHuhUG6za5w30d73CH6vaeO4fenjEGlUuF65eU6eJISEYC/TkNNk2MAfF+Hjh6uSO/f31NP/P3zfZQ3mEiLDOCuk0a1uWwgh6oKcbQa0iC9qamJyZMn8/TTT3d4+cMPP8wTTzzBc889x8aNGwkICGDp0qUYjYeP2l1++eXs3buX7777js8//5y1a9dyww03uC9vaGjg5JNPJjk5ma1bt/Kf//yHv/zlL7zwwgvubdatW8ell17Ktddey/bt2znnnHM455xz2LNnT6/WIoQQ3q51oOOjUfPKL7nsKWngjnd2YLXZe3YlroGjVRKkC+Epnngjk1/dxEXPr+eR77Kx2hVOnxTHN3ecwPyMKE8vVwghhBhWqg0mLn9pI5lljUQ7Q/SRUT0beqlRqxjh7pPev4GjhyvSe1fJPCkxlNevdYTpm/JquGZl38P0umYzH28v5tY3tzHtb99x+UsbWbkuj8KaFnRaNSeOiSYqyNe5rYX9ZY2oVXD6xFh8tSpOnxjHhnsX88s9i9hw72JOmxjHhoNV5DkLc8obTdzyxjaWrdhMXlUTNrtCToUrSPeuQaNmq53fvr2dtzYVoFbBv86byI0LHGfxulruTf/Hd0z563dM/8d3vLo+n6cvO47oIF+yyw389q3t2OxKN7fSXlyI40DKQFek/5hVwXtbi1Cp4OFWLV0ATFYbAb5a90GRI8lgdCE6NqRB+qmnnsrf//53zj333HaXKYrCY489xv3338/ZZ5/NpEmTePXVVykpKXFXru/fv5+vv/6al156iVmzZnH88cfz5JNP8vbbb1NSUgLAG2+8gdls5pVXXmH8+PFccskl/Pa3v+WRRx5x39bjjz/OKaecwv/93/8xduxY/va3vzF16lSeeuqpHq9FCCGGG41axSMXTyFIr2V7QV2Hp2l2KNIZpFdmg9L7F45CiPZcA4E70t0bGUVReHtTAac+/jPbCuoI8tXy6MWTeerS4wj11w3UkoUQQgiv1WK2YrbaqWs2Y7ba2V/aiMWmEB3ky1u9CNFdUpxBel4/+6T3pSLdZXJSKK9dO4sgXy2bcmu4/+M9GIwWzFY71QYTZqudZnPH4XpuVRMvrj3Exc+vZ9rfv+eOd3bw+a5SGk1WIgN1XDQ9kReunMaOB07iuSum4efjiIqqm8wkhfvx3k1zuOvk0QT4+nQ4m+L0yQm8ed2sNgNU12ZXcvJja/nrZ3sxWuzotGqSnf3mvUGz2cr1r27hi12l+GhUPHXZVC6ZOQJw/P088+NBHl+d4y50cPUO/2BbMU9edhy+WjU/ZFXyr6/29/q241r1SFcG6P1Ug9HCvR86WrpcPTeF6Snh7suK61q46PkN/JxTybI5KR1+v2uOlhCiLa9tIpibm0tZWRlLlixxfy0kJIRZs2axfv16ANavX09oaCjTp093b7NkyRLUajUbN250b3PCCSeg0x1+I7l06VKysrKora11b9P6dlzbuG6nJ2sRQojhKCHUj7+fMwGAJ9fksDW/tvtvCk8DtRbMjdBQMsArFOLY4BoI3JGu3shUGUxc/+pW/vDhbprNNmalhvPVHfM597jEboeYCSGEEEcjs8VGfnUzVrudRqMVq91ORKCOD26ew/s3z+l1iA64A+C8qn4G6b3skX6kKUmhvHbdLCYlhHD/6WN5fq2jYnra379n+j++4/mfDmGy2LDa7GzKreGhL/dz4v9+ZNF/f+QfX+5nY24NNrvCmNggli8ayUe3zGXTfUt4+ILJnDw+lpI6I+c/u46CGsc6x8YF8eVv5zMt+XAI6zrDNdRf16Zl2ay0CD5ZPo+0SMfPSq1yVHyvWu8Yeh4XrO9Xf3lPqm+2cOXLm/gpuxI/Hw0vL5vBaRPj3Jd31zv8uKQw/nPhZABe/DmXd7cU9ur2o4MdFf8mq5265oFpn/LQl/sprTcyItyf/1s62v31n7IrOeOJn9lZWMfTPxzkpgUjuX1xRpt2PbcvzuCWhSOlHZ0QHfDavaKszDHgIiYmps3XY2Ji3JeVlZURHR3d5nKtVkt4eHibbVJTU9tdh+uysLAwysrKur2d7tbSEZPJhMlkcv+/oaGhi3sshBA9Fxwc7LHrOntKAj9kVvDxjhLufGcHX94+v+sBRlqdI0yvynYMHA1J8NhahDia9GY/7Wwg8DVzU7ll4cgOh1Ou3l/OPR/sospgRqdR87ulo7j2+DSveZMqhLfz5HOpEGJg9HY/NZqtWOwKX+wuZdX6PPfz6bI5KdxwQhpRgb59WsfhivS+t3ax2uyUNThaeST2oSLdZUpSKC8um87KdXltzih1VUwrisKUEaH8ZuUW92U+GhWz0yJYPCaaxWNj2g3JVBSFNzYW8Pcv9mG02PHVqjFZ7YyNC+5Ve4+UyAA+umUeN7+xlXUHq1E5b9tsU8ivaeaWN7bypzPGuVubDIWKRiNXvbyJzLJGgvVaVlwzk2nJjgGcFpudjYeqSYsK7Lbl3lmT4zlQYeCJ1Tn88aPdpEQEMDM1vMPvOZKvVkNkoI4qg5nSeiNhAZ49g/CXnCre2uQI9x++YBL+Oi02u8Ljq3N4ck0OigITE0J48tLjCPBtP1RVBqML0TmvDdKPBg899BAPPvjgUC9DCHGUUavVxMXFdb9hL/z1nAlszquloKaZBz/d666w6FTUaGeQngXpiz26FiGOBn3ZT10Dgbt7I9NksvL3L/bz1qYCAEbHBPHYJVMYGyehoBA9NRDPpUIIz+rLfmpT4IW1h9oFzK7/3+Tsf91bror0/H60dilrMGKzK+g06j4H+i5h/jpWrc/r8LKV6/PYsHAxqZH+TEkKY8nYGE4YFdlpIF7ZaOKeD3axJrMCgOPTIzlpXAx//nSvuxVNay1mKxq1us1rldaVyyH+Pqz6zUwe+GQPb20qxGxztC5RAV/uLuOnrEruPGkUy+am4KMZ3CYJhTXNXPnyRvKqm4kMdAxkHxsXzIEKA+9uKeTDbUXYFfjlnkUE+2lpaLESHqAjKtCXSoOJmiYzwX5aAvWO+3vH4gwOVDTy5e4ybnp9K58sn9fuIEVnYkP0VBnMlDW0MC7ec6/hDCYr93ywC4Cr5iQzOy2CaoOJO97Zwc85VQBcPmsEfzpjnLtn+pFDVYUQnfPaID02NhaA8vLyNk+e5eXlTJkyxb1NRUVFm++zWq3U1NS4vz82Npby8vI227j+3902rS/vbi0duffee7nrrrvc/29oaCApKanrOy6EEEMgWO/DoxdP4eIX1vPe1iJOHBPNqRO7eOMSNQb2fyYDR4XwMNcb0QjnG2zdEV34thfUcuc7O9wVcdcdn8rvlo5uMzxKCCGEOFb5aNSdBsyr1udx24kZfbreVGe7kvyaZux2BXUfAkdXKB0Xqu/T97fW3ZDyJpON7+5cgLaboHr1/nJ+//4uqpvM6LRq7jllDNfMTWFbgaPdY9ERQbprAGd3Z8/5aNT889yJjIwK5O9fOHqIp0YGEKjXsKuogb9/sZ/3txbx93MmtOndPZByyhu54uWNlDeYSAzz44Urp7G7uJ77P97Tpr1lVJAv+dXN3H3SaOJD9cxLj6TaYCYiUMcvOVUU17XwU1Yln+0q5U9njOV/F06hoGYde4obuG7VFj64ZW7XZ/c6xQb7sae4gVIPDxz991eZFNe1kBjmxz2njGFrfi23vrmN0nojfj4a/nneBM49LtG9fU9/p0IIB6/tkZ6amkpsbCyrV692f62hoYGNGzcyZ84cAObMmUNdXR1bt251b7NmzRrsdjuzZs1yb7N27VoslsN9p7777jtGjx5NWFiYe5vWt+PaxnU7PVlLR3x9fQkODm7zTwgh+ktRFOx2O3a73aPDaWamhnOzs0rnDx/u7nqKvHvgqATpQnTE0/upxWbn0e+yueC59eRVNxMfoufN62Zxf6tqov5wDWXrbliZEEeLgXouFUJ4Tl/204ZuAuaKRiPXrdrMza9v5dHvsvlydykHKgxYbV0PVYwL0TtalFgPt2fpLVd/9HgPtDXpbkh5iJ9PlyF6s9nKHz/azbWrtlDdZGZMbBCf3jqPa49PRa1WuYehljUY3T+brgZwPvPjwXavHVQqFVfNSUHjnNlyqKoJg9HG75eOJszfh8yyRi54bj3/995Oqg0mBtLOwjoufH495Q0mksL8mDoilAufW8/v39/F1vxaNGoVS8bG8OJV01n/hxMZGxfMxTOS2F1cz+yHVjP/4R+Y/dBq9pTUc+nMEbyzuZDPdpaw+H8/8f62Ip6/YhrRQb5klTdy+1vbsdm7/3t1DRzt8j1XL60/WM1rGxw96f913kTe3VLIxc+vp7TeSFpUAB8vn9cmRO/t71QIMcQV6QaDgQMHDp9ylZuby44dOwgPD2fEiBHccccd/P3vfycjI4PU1FT+9Kc/ER8fzznnnAPA2LFjOeWUU7j++ut57rnnsFgs3HrrrVxyySXEx8cDcNlll/Hggw9y7bXXcs8997Bnzx4ef/xxHn30Ufft3n777SxYsID//e9/nH766bz99tts2bKFF154AXA8AXS3FiGEGCyKopCTkwNARkaGRwcK3rFkFD/nVLG7uJ6739vBa7+Z1XHFTJQrSM8ERQEZaihEG33dTzs6XbraYOLWN7ezs6gegLOnxPPXsycQ4tfznqVdkUokcSwayOdSIYRn9GU/DXYGzB2F6cF+WsIDdGwrqKOmycxXew7PO9Np1KRFBTA6NohRMUGMjglidGwQCaF+qNUqtBo1SWH+HKpqIq+qifgOhoV21/LEVZGe0I/+6C6uIeWPr85pd5lrSPmRZ7W57Cqq4463d3DIOTi1o7PbooP0aNUqrHaF8kYTCaF+3Q7gXL4ovd3X86qbsCkKfj4aQvy0HKpq4oWfD/HfCybz/f5y3t5cyHtbi/h2Xzn3nDKGS2Yk9bta/0jrDlZx3aotNJtt6LVqCmtbKHT+LlIi/LloRhIXTE0kOljv/p4Ws5XnfjrEE6vbtgh6YvUBVKh46LyJXPfqFnYV1fOnj/fwQVIo9546lj98uIvVmRU8/HUm9542tst1xTqDdE9VpDebD7d0uXBaIm9tLuSLXaUAnD4xjn9fMKldpXxffqdCHOuGNEjfsmULixYtcv/f1QZl2bJlrFy5kt///vc0NTVxww03UFdXx/HHH8/XX3+NXn/4Ae6NN97g1ltvZfHixajVas4//3yeeOIJ9+UhISF8++23LF++nGnTphEZGckDDzzADTfc4N5m7ty5vPnmm9x///3cd999ZGRk8PHHHzNhwgT3Nj1ZixBCDHc6rZrHLpnCGU/8wq8Hqnnl11yum5/WfsPIDEAFLbXQVAWBUYO+ViGONh0F2lfPTeHquSkYTDaC9Vr+fu5Ezpoc77HbdL1RbP1G3FWJBHDjgrQ2IYAQXekuRBJCiIHWXcBsttp57OIpZJc3klXWSHaFgZzyRprNNjLLGsksa2zzPf46DRnRgYyKCcKV7+4qqmfOyIg2wX5PDkq7KtITOgjhe6svQ8ptdoXnfjrIo99lY7UrxAbr+d9Fk5mXHtluW41aRXyoHwU1zRTXtpAQ6tdtO5lGo8Xdms4ly/nzHBMXxPNXTOP6V7ews6iem9/Yyj/PnciF05O4/+M97C9t4L6PdvPulkL+fs4EJiSE9PdHhM2u8IRzuKarQNxotaP3UXPahDgunpHEzNTwDg/Q9CRg/uiWeby+IZ//fJPFjsI6dhfv5ISMSH7IquT5tYdIjw7kwumdt/aNDfZsRfp/vsmioKaZqCBfNufVkFfdjFat4r7TxnLNvJQO72dffqdCHOtUipzLOGgaGhoICQmhvr5e2rwIIfrMbre3qc5Rqz3fpeuNjfn88aM96DRqPrl1XsdDDB+fDLV5cPUXkHK8x9cgxHDW2/20daB95FCr205M5/j0SEZE+BPngdPBm81WimtbKG80MiM5nBn//L7Tyr3Nf1xCgXMgV6i/j0erdiV0PbqYLDae+fHgsDmzYTCeS4UQ/dPX/bS3j0d2u0JxXYszWG8ku6yRrHIDBysMmDtp+RKs17qr139zfCqf7ChuU73scvviDPdB6Stf3sjPOVU8fMEkLuoiYO2NZrMVbQ+eSwtrmrnznR1scfYCP21iLP88dyKh/rpOr/vSFzaw/lA1j148mXOPS8RstTP9H991+pph031L8NGo2wys/N+3WTy55gCXzEjiX+dPosVs4+73dvDlbsfZADcvHMmdizN4fWMBj3yXjcFkRa2Cq+akcNfJowjuZEBqV4pqm3lvSxGr1uVR13K4xe+EhGAumTGCs6bEd3u9VQYT0//+faeXb71/iTtgLm8w8tfP9vHFbkf1d6CvBoPJhk6j5s3rZ3XaA37dgSoue2kjI6MCWH33wl7ey7a25NVw4fPrURTH2RVmm524ED1PXTaVaclhnX5fd7/TLX88CZ326Hl+lExOeIK8WxFCCNHOZTNH8ENmBd/vr+COt3fwya3z2vdhjhrjCNIrMyVIF6KfNGo1P2ZX8OJV09oNtXr6xwPcdmJGj9/INBgtFNW0UFzXQnFtM0W1js9dH2uazACMjgnipWXTu6xEqmx0tJXJKm9Ep1UTE+xLTJCemGA90cG+xATrHV8L1rv/9WTA1rHUTuZYOGAgZzYIIbyJr4+GGxeksXxRepvH3s6eX9RqFUnh/iSF+7NkXIz761abnfyaZmew3si3e8vYV+qosG4wWtmcV8vByib+ePpYVq7L6/C6W7fHcFWkJ3qgIt2luyHliqLw0fZiHvhkLwaTlUBfLQ+eNZ7zpiZ0e3Dc1YLG1ZLGbLOxbE4KT65pf8Bg2ZwU1mZX8vrGAp64ZIo7oM8ud/y8RsUEAeCn0/DUpVN5NCqbJ9cc4NkfD5Jb2cQjF0/m9Elx/O3zfXy+q5SV6/L4Yncp958+lrMmx6NSqTAYLei0GhpaLAT7+WC22gh0BuImq41v95bz7pZCfjlQRety0fSoQB69eAoTE3tW5V5lMBGg03bZIiioVRAfE6zn6cunckFmBX/6ZI97QKvZZue6V7fw2a3HkxTu3+56XK1dyhv61x/eaLHxu/d3uu+z2WZnfkYkj108pctq8vzqJgprmjv9nXbXIkiIY5W8ohVCCNGOSqXiX+dP4pTH1pJV3si/v87kz2eOb7tR5CjI/loGjgrhAc0mK68sm8HKdXnc/d5Od7i8bE4KryybQbPJik6rQ1EUapstFNe2UFTb7A7ID4flzTQaux8MFaTXEurvQ2Sgb5dvFCMCfLHYHdV4ZqudwpoWCmtaurzuAJ2mTdAeG6wnulXgPjIqkFXr8o6J0PVYOWAgPVaFEN6mu4C5J7QaNSOjAhkZFcipE+OYkhTK1Ss2MyomkMcvOY7s8kaqDWbqmrsfcPrE99nkVzcDYMdRBe/pXuBHqms288eP97j7ZE9LDuOxi6d0GOp2xNWCxnUA4NV1+Vw9NwWAVevz2jyv3XBCGhc+v459JY2c+dQvPHfFNMbHh5BdbgBgdGyQ+3rVahV3nzya1MgA/vDBbr7eW0bx8y28tGw6T102lYtnVPLAJ3vJrWri9rd38MuBSv561gRe+PkQK9fltWl/d9OCkaz4NZeXfs6lttnCkZbNSebPZ45v87NWFIUms40ag5nqJsfZf9VNZmqazOwuqmdNZgVPXDqly4MGRoutXYHDojHRfJe2gCfW5PDCTwexKVDXbOH8Z9fx7Z0ntKv+dwXpBpPVfcCnL/7y6V7yqprd///t4gxuX5zR5syAI208VM1Nr28lPMCX926ag1qlOupfqwjhKUfHuxQhhBAeFxnoy38umMw1Kzez4tc8Fo2O5oRRrXqhR41xfJQgXYh+89Gqefmng23esDW0WN3/n58RxR8/2k1RbQstFlu31xceoCMh1I/EMD8SQv1ICPMjMczf/blrUGmL2dplL1kFhTV3L8RktVHRYKKi0Uh5g4nyBsfHigYjZQ1GyhuMVDSYaDRZaTLbOFTV5B5iduS6frlnUbeh62AEDAPtWKrS7q7Hal2LmRC9j7whF0IMaykRAQAU1DQzOibI3frQbLV3O+D02/0V2JyNuq94aSNBvlrGxQczMSGECc5/qZEBXYafvbHuQBV3vbuTsgYjWrWKO5ZkcNOCkWg1PT+g4KpIL6pt4afsSh7+JosPthXz3wsncfPCkdQ0mQkP0JFf3YyPWsV/L5jCja9vobCmhfOeWcffzp5AXrXjtYCrIr2186YmkhTuz42vbWV3cT1nP/UrLy2bzvyMKL6+Yz4v/HSIp344wMnjYnnmx/avkZ5YfQBFgYkJIdQ2W4gI8CHUX8fBSsdtHp8eiVql4q53d7iDcldobrZ23LLH5fUNBTxy0WSg7UGDZXMcs2vu/3gP/zp/YrvncT+dhntOGcM5UxL43Xs72V1cT0WjieP//QOvXjuTqSMOt1nx12kJ8fOhvsVCWb2xT0H6S2sP8fbmQgACfDU8fdlUFo6O7vJ73t1cyB8/3o3FppAU7o9dUXp1BocQx7qj49W7EEKIAbFoTDRXzUnm1fX53P3eTr654wTCA5zVFFGjHR8lSBei33w0alatz+vwslXr87h54Uiqm8zuED06yJcEZ0ieGObvDMr9SHQG5T0NaHs6rMxXq3Gf9t6VJpOVikZX0G50B+6uoD3AV0O1wdxt5d7Nr2/FZLWTEhFAamQAKZEB7s9jgn373Kt9oNus2O0KNc1mKhtNpEUFDFmV9mC3kwnS+3QZIgX6ajnpkZ+YlRbB2VMSmDMywmNhkRBCDJaEMD80ahVGi52KRpO7ori7AadNJitXzkrmyR8O4KNRoVapaDRZ2Zhbw8bcGve2AToN4+KDHcF6fAgTE0MYGRXY5ePlke1OjBYbb27K519fOV6fp0YG8NjFU5icFNrr++tqQZNf3cxd7+5wrNFXw7nPrGs3z+W3i9M5Y2I850xJ4PNdpeRWNfH7D3YBoNeqeX1DHqBCURQUQFFAQUFR4JTxsXy5p5SyBiPnPP0ri8ZEMSI8AEWBZXOTOT49irvf29nhGletz2PjfUtIDNVTVGekuulwVfovB6r45UBVp/dP76MmIsCXIL2W0noj9c5+6lNHhPL4xVNYtnITyxems+Hexe6DBj/nVHHR8xs4WGmgstHEK1fPwE/XPnAeHRvEJ8vn8Z9vs3j2x4MYTFbOe2YdV81J5ndLR7t7tMeF6KlvsVBabySjg4MNnbHZFf7zdSbPrT0EQJi/D5/ddjyJYZ2/TrPZFf79dSYvOL/n9Elx/PeCyW3W358zOIQ4VkiQLoQQw1BgYOCg3da9p45l3cFqDlQYuPfDXTx3xTRHiBU5yrGBoQxa6sAvdNDWJMRw0Jv9tLuK3kajlZeumk5YgI64EH37mQX90Ntesl0J8NWS6qslNTKg0216UrlXXGekpsnsPiW8NT8fDckR/qRFOcL1lEhn2B4RQGSgrtOQvb9tVsxWu7Mi30hpvZEy17+Gwx8rGkyYbfYe9Z9vNFq67F3aV0PRTsZgsnZ6CvzVc1PYlFtDQW0LBVuLeG9rEZGBvpwxKY6zp8QzJSnUo0Nse2Mwn0uFEH3jTfupj0ZNYpgf+dXN5FU3uYP0nhyUHhvvqF6fmBDCuzfO4UClgd1F9ewtaWB3cT37ShpoMtvYnFfL5rxa9236+WgYGxfUpnI9IzoQrUaN0WJr1+7EVTH93pZiZqWFc//pY90HUhVFocFopa7Z0Y6m1vmxrtlMbeuPLY7PKxuNgKMCH2BkVAC5VY7nZVd1t8vKdXnctGAkb2wsaPN1AKPVzuMdDGLtiNWu8N2+Cvf/l46LwWCydvl8WtNkwmQ93BR9RLg/6dGBhAfoiAjQERGoIzzAl4gAHeHOfxGBOvx1WtZklnP3uzupb7EQoNPwz/MmcvaUBFrMVhaOiuaG17a2O2hwwbQEimubWX+ommtXbeblZR2H6Wq1intOGUNCqB/3f7wHgFfX5/P1njIeOHMcp0+MIzZET2ZZI2X1xh79fMDRw/32t7fz64FqwHFA4Os75hMT3HnvfYPJyh1vb+f7/Y6f7W8XZ3DH4oxhf/afEENBgnQhhBhm1Go1CQkJg3Z7fjoNj108hXOf+ZVvnEN8Lp4xAvTBEBQPjSVQlQ1JMwdtTUJ4u97up91V9Ib564gJ1ntyiW14opdsT5mtNq6em8ITHbypvnpuClabwse3zCO3uom8qiZyq5rIc35e6Gxtk1nWSGZZY7vvD/TVkhLpf7iSPSKA1KgA0qMCefmX3E7brFw3P5WKRlO7cLy0/nBwXt1kajO8rDMqFdgUpdv+833thdqV7trJXDknGbPVTqBeS4BO65GqcEVRePjrTP5vqeMspdanwF89N4VbFqaj06h598Y5fLKjmC92l1JlMLFyXR4r1+UxItyfsybHc/aU+F5V4/XXYD+XCiF6zxv305SIAPKrm8mvbmJ2WoT7690dlHYN7EwI80erUTMmNpgxscFc6Px+m13hUKWB3cX17CluYE9xPXtL6mky29hWUMe2grrDt6VVs/KaGaw7WN1pS7jnrpjKv7/O5MqXN7kD8/oWi7u9TF/88bSx/GbVlg4va2ixUt9i4fKZIyhvNKJCxS8Hqtz91f18NJwwKpKYYD0qcB9AValArVKhwvF8su5QNfudA13HxAZx3IgwQvw6f40UpNdw1zs7qTSY8NWqefqyqW0GxnbGbLXzjy/28eLPjjPHJiQE89SlU0lxFgIceXAkq7yRYD8tty/O4Oq5Kaw7WENJXQvrDjrC9FeuntFpkcMVs5MprW/h6R8OAlDhHOT+3qgigvWO11+lPQzSt+bXsPyN7ZQ1HN7+8UuO6zJEL6pt5rpVW8gscwyO/88Fkzh7inftV0IMJxKkCyGE6NaEhBDuPnk0//oqkwc/28fM1AhHxWnUaEeQXpkpQboQ/dDdaeFWu31Aw21PtgKx2xVqm81UGkxUNrb912yx8cDp47h6biqK0lHf0VT0PhpGRPgwIsKfBa3nMgAWm53CGkclYG5VM3nOkD23qoniuhYMJqszgGhwf09P+rLfuCCNC59b366K7kg+GhUxwXriQvTuQaqxIY5/rq9FB+nRadXd9p/39O/UaLGhVqu6vZ8nP7rWfT/9dRoCfbUE6rUE+WoJ8NW6/x/Y6vMjLwvy9SHAV0OgXsva7Cre3lzItvxafrd0dLtT4N/ZXMiF0xOZmRrOzNRw/nzmeH45UMmnO0r4dl85BTXNPPXDAZ764QBj44I5e0o8Z06Odw+5E0IIb5IS4c9PQF51c7vLujoo7QqUO3ts06hVZMQEkRETxHlTHV+z2xVyq5vYU1zP7qJ69pTUs7e4AR+tmslJodz4+tYOr2vV+jxuOzHDMa+ksv28En+dhlA/Rz/xsAAfQv10hPr7EObv+BjqryPM3weDycrtb+8AHAe6j8+I6nZA+d3Og6oAV6/YRHFdC9FBvlQ0mliTWcEDZ4zjitnJnZ6JpCgKK9fl8bfP95FZ1siP2RWcOSnOfQD+yOpwPx8tG3NrCPTV8tKy6W0ObnSmsKaZW9/azs7COvd9u/e0Mfhq2wbhnR0cUQELRkXx1qYCANYdrObylzbwxnWzOw3T7z5pNAcqDHyztxx/nQaL1c5P2ZXuA9quv4/OKIrCy7/k8q+vMrHaFXQaNWabnTMnx7N0fGyn37etoJYbXt1ClcFMZKAvL141jeNa9WkXQvSeBOlCCCF65Pr5afyYVcGGQzXc8c4O3r9pDj5RY+DQD9InXYh+6mmv8oHQ01YgTSarIxDvICB3fa2i0UiVwdxpxdvomCAqDSauXrGZe05pH7pe+Nx63rlhNpFBHbc88dGoSYsKJC2q/an+JquNwppmd8B+qMpRxa5R021f9pomM8nh/oQH6A6H40d+DNET7q/r8WnQnf1Ol81J4br5qR7pWV5Y08yPWRWsyaygymDimcundXs/40L07iC92Wyj2WyjotHU5zW4spD8muYOT4EP9tNy6cwR7u11WjUnjonhxDExNJutfL+/gk93FPNTdiX7SxvYX9rAv77KZEZKGGdNSeD0iXGHZ3MIIcQQS3YOHM3rYKB2V4rcFek9P0ioVqsYGRXIyKhAzp6SgNFi47t95WSWNtDQ0nW7kwajhQfPHE+T2Uqo/+GgPMTPp0ft4cxWO+c9+6v7/9OSw9oc9D/ysb6jA8TZzjPH/nvRZN7ZVMgXu0v50yd72VFYzz/OndDhOlQqFdfMSyU5wp/b3tzOhkM1XPHKJl5aNp3TJsQxIsKfaoOZiEAdGw5V848vHMHyqmtmMjExpNv79eXuUu75YBeNRishfj48fMGkLoPozg6OPHTeRBaNjuKud3dgMNnYml/HGU/+wue3zkPfwfO7Wq3ikYumcMFz69lf2kBaVABRgb7uHvmf7yrhwumJzEgJb1fcYLLaeOTbbFasywMgIyaQnHIDEQE6HjxrfKdr/2RHMf/3/i7MVjtj44J5adl0OUgthAdIkC6EEMOM3W4nJ8dR4ZiRkYFaPTjDYDTOF4BLH1vLzsI6nlxzgLuinH3SJUgXoo2+7Kee7FXeU121AlEUhbkjI7jnw92OanKzrVfX7XqTHRV0+F9SmB/RQb5UGoydhq7+vhpufn0r5xyXwOIx0Wg1PXuM89VqSI8OIj26fXuQ7vqyRwfp+Wj5vF7dvx6t6YjfaaBey49ZlZz/7Dr+d+GUHr3pb81stbMlv4YfsypZk1nBgYrDPeRdPV+7u59f/HY+JqsNg9GKweT81/rzI//fxWWNRiuK4uhH6+qhe2Tf3K76wfvrtJw1OZ6zJsdT12zmqz1lfLKjmI25Ne4+wQ9+upfjMyI5e0o8J42LJdC37duXvp5NMVTPpUKInuvPfup6bGg2W/HXaT02dDkl0jHMsaOK9K64Ko4Texlk2uwK6w9W8/GOYr7ZU0ajyUpaVAC3LxnV5eN9sN6H+Uec1dUbj3yXzZ7iBnw0Kiw2hdL6Fvx0WpYvHMmpE2LbBNoF1c2kRQaga/V6pcFoocTZrmRyQijzL4tk8s8h/OurTD7YVkRmWQPPXTGt0yHmJ46J4YNb5nLtyi2oVSrC/HWsXJfbrh/8ezfNodFocR/g6IzRYuPvX+zj9Q2OKvJpyWE8celx/QqWTx4fy5q7F3Ldq1vYVVTPgQoDc//9A5/eOq/DoZ8Bzqr5s5/6lUOVTaRHBXL9/FRe/DmXZrONP3ywm49umcvLv+S2OwB/64nprD9UxcLR0bzkbEfz17MndHig2W5XePT7bHebnyVjY3j8kikE+Er8J4QnyJ4khBCix+JD/fjHuRP57VvbeWpNDqefE89ogCoJ0oXwhMHsVa4oSpetQFauz+OmhSNpNFrdIbqfj4boYN82AXl0q6A8KlBPVJAvEYE6fDoJwFu3PDkydL16Tgq/5FTx1Z4yvtpTRkKoH5fPHsHF05P6NZhzKFvnHPk7/WxnCdnlBv7v/Z18euvx6LRd325Fg5Efsyr5IauCn3OqMJgOhyYatYppyWEsGh3NojFR7vvT3f301WrwDdT062e6Nb+W859dB8A/z53ALW9u6zTQ8dNpuPfD3Zw2MZZ5IyM7rOoP9ddx6cwRXDpzBKX1LXy+s5RPd5awu7ieH7Mq+TGrEr3PbpaMjeHsKQksGBWJojDog1WFEN7PbLGRX93MiAh/Go1WdFp1h2FvX7gC2/zqJhRF6fGw5OJaR/Ae34PgVlEU9pY08PH2Yj7dWdLmrKGEUD+Wjo+lxdL1vBGz1dbt80tn1h+s5vm1jn7eJ46J5pu95e6KegX4ak9Zh4+7reU4h4XHBusJ8XfMBLnhhJFMiA/h1re2s7ekgTOf+oUnLz2O+RkdB/5jYoP5ePk8DlQ0suLX3A77watVKm5ckNbl/TlQYeDWN7e5Z6vcsnAkd540qtPXKb0RHazn41vm8eBne1m1Pp+aJjOL/vsjT182lZM7qHRPCPXjhaumcckLG/h2XzmXzEgCQKdR84dTR/Piz4c67Xv/8rIZXP/qVqx2hVMnxHL6pLh2199itnH3ezv4cncZADcuSOOepWNkqKgQHiRBuhBCiF45a3I8P2RW8NH2Yu7+0cjnAHUFYG4CXdfVIEKIoVdWb+TD7UVsza/lL2eO7/LUcIPRyqu/mUmgr5aoIF+PVDN118ampsnMTQtG8s7mAorrWnj46ywe+y6HMybFcdXcFKYkhXr8NgczdH3wrPGsO1hNZlkjz/54kNuXZLS53GZX2FFY527Zsrekoc3lkYE6FoxyBOfz06PcAYXLYNxPi83OfR/uBuDCaYlMSw7rNMBf5jw48tamAt7aVEBCqB/nT0vkwmmJnVYixoX4cf0JaVx/QhoHKw18uqOET3eWkFvVxOe7Svl8VymvLJvOjsI6njgicHCt4cYFaR6pPhVCDC9GsxWLXeGL3aXt5nDccEIaNkXBrx+PDUlh/qhVjtZYlQYT0UHdDwJvNFpoMDqea7tq7VJQ3cwnO4r5eEcxB1v1Ng/x8+G0iXGcMyWeGSnh7lD0loXpAG2qtF1DnnvSvqUj9c0W7np3B4oCl8xIYkJCCN/sLae4tqXbgdatH3ezyx2h9ajYtmeJzU2P5LPbjufm17eyq6ieZa9s4ndLR3PzgpEdHpSICvIlxM+n037wK9blsnxReqf354OtRfzpkz00m21EBup45KIpnNCPSv2OqNUqHjx7AmPjg7n3g91YbAo3vLaVy2aO4E9njMNP1/Z3MXVEGA+fP4k73tnB25sLATDb7ExPCePu93Z2eBur1uehVqnYV9pAmL8Pfz17QrttyhuMXO+sjvfRqPjnuRO5cHqSR++rEEKCdCGEEH3w4Nnj2ZRbw55aaAwIJchWB1U5ED9lqJcmhOiA0WLj233lvL+1iF9yKrErPWsFEuqvIzq4+5Cgt7pqYxMX6scfTh3DHUsy+HxXKa+uz2NXUT0fbi/mw+3FTEoM4ao5KZwxKa5XQcFQtM6B9q1H/HQa/nLWeMeZPT/ksHRCDDFBetbmVPJDZgU/ZVdS22xxf79KBZMSQ1k0OopFo6OZmBDSZWXZYNzPl37OJau8kfAAHfedNrbbAxX51c1cOTuZT3YUU1zXwhOrc3hidQ5zR0Zw0fQkTpkQ2+nvcmRUIHeeNIo7lmSwu7ieT3eU8POBSmaPjOCOd3d0+D3dBStCiKOXTYEX1nZe1XvTgpGdfWuP6LRqEsL8KKxpIa+quU2Q3lmrKVdblxA/n3btqWqazHyxq4SPd5SwNb/W/XVfrdp5Bk48C0dHd1hdrvfRcMP8NG5dlEGD0UKw3gez1dbnEF1RFO77aDel9UZSIwP40xnj2JTn6OFdXNeCRq3ucqB168fdLGf19+iY9jNNEkL9ePfGOfz5k728s6WQh7/OYmdhHf+9cDJBep922zcaLV0e9O+ofViTycqfPtnDh9uKAZg7MoLHLp4yIK9pXC6ZMYKYID3XvboFm13hzU0FbMyt5olLj2N8fNtWbuccl0B2eSPP/HjQ/bXcyqYu7+fTPzj+hv9y1niijpgls7uonute3Ux5g4kwfx+ev3I6M1PDPXwPhRAgQboQQog+CNb78OjFU7jkhfXstcQxW13n6JMuQboQXkNRFLYX1vH+1iI+21lCo/Hwm7OZKeFcMC0Rm13xmpYnR96O3kfDBdMSuWBaIjsK63h1fR6f7yxlV1E9v3tvJ//4Yh8XzxjB5bNGdFrZ3Nvb9LTOBrnevCCNuSMjWHewmvOeWUeL2Ubr8azBei0njHIE5wtGRxHZyxYsA3k/C6qbeXx1NgB/PG0sYc7+rF0F+KNig/jbORP44+lj+WZvmeOAzoEq1h2sZt3BaoI+cfRKv2h6EpMSQzqsSlSpVExKDGVSYig2u0J1k6nXwYoQ4ujno1Gzan1eh5etWp/HbSdm8PfP92K1O4Y2pkcFkh4d2KvHi5SIAEeQXt3kDiu7Gtxd7Bo06mzr0mK28e2+Mj7ZUcLa7EqszgHdahXMHemYCXHKhNgOQ+UjBTq3cT1P9LWdC8AH24r5YncpWrWKxy529NR29XQvqm2htrnrwd2tH3fdFekx7eeWgOM5/t8XTGJyUih//nQP3+wtJ6fiV164clq7WSdBep8uD/of+XPaX9rA8je3caiyCbUK7lwyilsWpaMZhPYmi8ZEs+qamVyzchMWm8LByibOfuoX/m/pGK6fn9bmQPjvTh7NgQoD3+4rBxx99zu7n2oVWO0KS8bGcNbk+DaXfbW7lDvf3YHRYicjOpCXl81gRETPXhcJIXpPgnQhhDiG9HUoW0dmpoZz88KRHPg5ntnq/RiK9hA4+WIPr1gI0Vuu1i3vby3iUKtTwxNC/Th/agLnTU0kJfJwGyZvaXnSlSlJoUxJmsIfTxvLO1sKeWODo+3Lcz8d5IW1BzlxTAxXzUnm+PSO+28Pha5OgbcrCudMiWfdwWp3//kxsUEsGhPNotHRTB0R2uMhq4NJURTu/2QPRoudOWkRnDc1oc3lPTk4cvaUBM6ekkBRbTMfbC3mva2FFNW28MbGAt7YWMDomCAunJ7IuccldBpsadQqQv26PpuiJwGUEOLo09BN9XJNk5kdRfVsyattc1l4gM4RqrcK1zNiAokN1rc7uJcc4c/POY4+6dD14z1AkN7x2Kj3UXPnOzv4Zm9ZmwHeExKCOWdKAmdOjidmACumu5Jf3cSfP9kDwJ0njWKys42aq4LeYLKiKEqXj7t+Og2f7Szh9Ilx7iB9dGzHQbrLZbNGMDYuiJtfdwTfZz/1K/+7aDKnTDjc/7unc04UReGNjQX89fN9mK12YoP1PH7JFGalRfTpZ9JXx2dE8vKyGVy3agtmmx2rHR76KpOfsiv530WTiQtxHJxQq1U8evEUZv7je5rMNv7zTRZXzEpuU6XuYlccB9n/ee4E99+joig8/cMB/vut4+D2glFRPHnZcQTL858QA0qlKIrS/WbCExoaGggJCaG+vp7g4OChXo4QYpiy2+3k5DheSGZkZKBW9yxsMVlsPPPjQY+GZRabnVce+QM3Nj3PZv1cpv3+S68JsYQYSn3dT/uqo9Yt4HjTftqEOC6YlsjstIhO989msxWthw6yDQarzc7qzApeW5/PLweq3F9PiwzgyjnJnD8tcUjeSNrtChWNJopqm5mYEMKMf37faeCw4d7FXPHSRrYV1KHTqPnqjvmMjGp/Crw3+WxnCbe9tR2dRs3Xd8wnzQPrtdsVNhyq5t0thXy1pwyT1Q6AVq1iydgYLpqRyAkZUe0OLHQUXLncvjij2x7pg72PCiF6ry/7qdlqZ/o/vuvysfeEh38gSK8lWO9DlcFEcZ2x0+sL0GlIjvAnKSyA+DA9McF69pbU89nOUo5LCuXKOcmcNjGOmV083l84LYmXf2nbEiUp3I9znAcW06OH9rHfarNz4fPr2V5Qx8yUcN66YTaFNc2s+DWX97YWuUP/v549niqDqcMBp7edmM7EhBBueG0ro6IDya4woFLB3geX9uj1RGWjiVvf3MbGXEcrmZsXjuR3J492V5F39z6mvsXCvR/ucg/ZPHFMNP+9cDLhzrOm+qo/RUg/ZVdy/atbMFvtqFWOMDzEz4d/njuxzaDQ5W9s44vdpQCcNDaGsXFBfLKzGL1WS5PZQmmdCZui8N8LJ3PBtETA8brv3g9389F2R+uaq+emcP/pY73yILw3kUxOeIL3vkMSQgjRqYCA3g317M1woN7w0ag5a/FC+PR5wptzefmXXK4/Ia3X1yPE0ai3+2lv9aR1y6kTe3Zq+GC3POkvrUbN0vGxLB0fy4EKA69vyHdU4Fc18eBn+/jPN1mce1wCV81JaVMN54mzcux2hdIGI/lVTeRVN5NX3UReVRP51c3k1zRhtNgZHRPES8umd1kV2WK28cHNc1m2YjNrsyv5/fu7ePfGOYNy6nlf1LdYePCzfQAsX5TukRAdHBV5c9MjmZseyYMtFj7bWcJ7WwrZWVTP13vL+HpvGdFBvu4Bpa7b9cQA2YHeR4UQ/dfb/dRstXH13JQOw96r56SwLb+OKoOZKoMZAD8fDQmhfvhoVTSbbDSbbZisNqw2BQVoMtvYV9rIvtLGdte3vbCOZrONGSnhXT7euyrX/XQaLpyWyNlTEpg6IrTDNlZD4ck1B9heUEeQXstVc5K56fWtfL+/HFfJpV6rxmi1ExXoy8XTk1Chat+ybOFIPtlRTJBeS3aFAXD0eS+qbem0vUtrUUG+vH7dLP79VSYv/ZLLsz8eZE9xPY9fchzhAbou24ftKKzj1je3UVTbgo9GxT2njOHa41P7/fPtql1PT55jFoyK4oUrp3HDq1sx2+yE+Gmpb7Gw/M1trMlM5MGzxxPoq2VklONvXK2CQ1VN3HlSBreemEFDi4UAXy0/51TyY1YF5zvPAqtsNHHja1vYVlCHRq3iwbPGc8Xs5H7dVyFEz0lF+iCSo19CiKHSXXXOlj+e1Peeig2l8MgYrIqaydZVvLd8IePi5TFOiIHS29YtxwqDycpH24t5bX0e2eUG99dnpoazfGE6s9LCebaHZ+VYbXZK642OkLy62RmUOz4vqGnG7Kya7ohGrWJCfDBv3zCHWQ91XqHoetwtrmth6aNrMZis/PnMcVwzL9VzPxQP+uNHu3ljYwFpUQF8dft8fLUD2/Yns6yB97YU8dH2YmqazO6vz0gJ48LpSZwxKQ6tSsWhqiZGRPhT02QmPEBHfnUzIyMD0HlJWyIhxOAyW+0YTFZW/JrLqvV57sf7Za4iUnoAAQAASURBVHNSuGZeKn4+amb9czUNxo6D746oAK1GhVqlwq4oWGyHI5ToQB0/3XMis7qoSE+NCGBnUT0njY3mt4tHMSEh2GtC9K35NVz43HrsCiSG+VHk7OcOjqrua49P5bX1eXy9t5y/nDmOq+eldnkWW02TmZtf3+quLFer4OIZI7jzpIw2g1m78unOEu55fxctFhsJoX48f+U0JiSEtNvObld4+Zdc/v11Jla7QlK4H09eOpUpzrY0/dHfs55a+yGzghtfc4TpI6MCOFTZhAKMCPfn0YunkFXWyH0f7WZyYgivXD2Dlevy2v3t3rIoHT8fDZllDVy7cgvFdS0E67U8c/k0js+I7Pf9PVZIJic8QYL0QSQ7rRBiqFQbTEz7+/edXr71/iV9H8qmKCj/GoHK1MDJpn9D9Fg+vfV49EMYYniyF7wQg6mzv93+tm45liiKwoZDNby2IY9v9pZjsyu8eNU0dhXV8+Sa9hWKty/O4KzJ8by2IZ/8akdleWFtc5ug5Eg+GhVJ4f6kRASQHHH4Y2pkAPGhfvho1L16E/7Gxnz++NEe/Hw0fHPHCV43JGxrfi3nP7sOgLdvmM3sQew3a7baWZNZzrtbivgxq8L9t//ysunsLKzjiTUHCA/QERXoS6XBRE2TudchhxDi6FFtMHHR8xu455TRHJ8R6T7I9nNOFQ9/ncUb183i232OHuVatYqsskY25daQX9Psvo7EMD/OnhLPeVMTSQj1w1erbhN8N5usjP/zNyjAn88YxzlTE3jll9wOn2NuOzGdV9fnU99iaXP9p06I5ZQJcRyXFDpkz91Ftc2c/sQvbdbmq1Vz/rREfjMv1d1y5m+f7+PlX3K57vhU7j9jXLfXe99Hu3lzYwEjowI46Dzg76/TcOMJI7n+hNQePTZnljVw42tbya9uxler5olLj+OEjMg2r5F2FtXxhw92c7DSwGkTY3novEmE+HmmrZuni5DWZJZz42tbsdgU5oyMIL+qiZJ6Ixq1itMnxvHpzhLGxgVx0tgYnujktcqF0xNZ+uhamsw2UiMDeGnZdK9vCedtJJMTniCvLoUQ4hjQ22n3vaJSoYoaDUWbOc6vgnfKk/jXV5n85azx/Vhx3/X3NEwhhkpnf7vXHp/KFS9vZFdRvXvb3rZuOZaoVCrmjIxgzsgISutb+HhbMfPSI7n7vZ0dbr9iXS43Lkjj050lbSqfdVo1yeH+JEcEkBLhT3Kk42NKhCMs764FS29aj1w6YwSf7yxl/aFq7vlgF29eP8trqhUtNjv3fbgbwH3AZjDptGpOmRDHKRPiKG8w8sG2Ir7dW86ckRHc+e4OwFEB2fp3t2JdLssXpQ/qOoUQ3iFI70OlwcgNr21td5At2E9LeICOq+aktPu+PcX1vLmpgE+2F1NU28LTPxzkxbW5nDIhlstmjWBWarj7cdnfV0t8qB/FdS1MSgohQKd1n010ZCXx5bOS3QH7krHR/HqgmqLaFl78OZcXf84lNljPKRNiOXVCLNNTwgelvdehSgMrfs3jzY0F2Jx1lRGBOq6Zm8Jls5Lb9RVPCHUMxyyua2l3XR3JLnO0wfnt4gwSQv34+xf72VFYx6PfZ/PGxnzuPnkUF0xL6vK+jokN5tNbj+fOd3aQX93M9OQwnv3xICuP+Pm+e9Nsfs2p4szJ8R553jxQYWDdwSpOHBPdZbueRqOlV0VIJ46J4dnLp3HzG1tZf7CaU8bHMiNVzSc7Svh0ZwkA5Q0mVq7P6/D7Xa9VfH00TEoM5dkrphLq37/+761JEZIQPScV6YNIjn4JITzBbrdz4IDjBXl6enqPBi958vTEDn2yHLa/Tu6E37Joy2wAVv1mJgtGRfX9OvtgwO+nED3U2/20q79d1wCvBz/bd0y3bumPKoOJ6c6zco4MVgDW/+FEvthdir9O6wjLIwOIDdZ7pEqwp4Nc86ubOOWxn2mx2PjHuRO4fJZ39Dt99seD/PvrTML8fVh998J+D27zBEVRqDSYmPmP1Z1u092ZVn15LhVCDK6heM1rMFn5dEcJb27KZ09xg/vrI6MCuHTmCC6Ylkiov47LXtzAuoPV/O/CyZw2MZZ3txQRF6JvVwW/t7ieJ9YcQO+jZv9fT8FosfNTdiVf7Sll9f4KDKbDYW1koC9Lx8dw2sQ4ZqWGe3RwpOtsrZd/OcTqzApap0C3LkrntsXpnbbs+mZvGTe+tpVJiSF8euvx3d7OpAe/pdFo5es75jMmNhhFUfhydxn/+no/hTWOMH5MbBD3nja22/cKdrtCdkUjX+wq7fSssv6+vi+ua+GznSV8uqOEfaUNhAfo+OWeRcx+aHWnRUib7luC1a4Q6Nu72/1uXzm3vOGoTD9zcjyLRkfxwCd7MJhs3X7vL/cs4v2tRSxflI6PB/82XINcP95RhF6rxWi1cs6UxKOyCEkyOeEJkiYIIcQw1NtjoK0rI1u/SDprcgLXzEtB298AIXI0AKlKIcvmXMyq9fn87r2dfHPHCQMaulhtdg5UGthT3MChSgO3nZjBinW5HW67Yl0uNy8cyVe7SxkdG0RKRIC0wRADqjf7qUat7vRvd9X6PDb/cQk/j10kf7N9FKz3YXJSCLcuSmdeeiTVBjMRgTp+yani6R8PEBHoy3XzB2ZQck8HuSZHBPB/S0fz18/38dCXmSwcHe2uAhwqBdXNPL46G4A/nj7OK0J0cJx1EOqn6/eZVlJPJIT3689r3r6cnRjoq+WyWSO4bNYIdhfV8+amfD7ZUcLByib+/sV+Hv4mi9MnxuHv67ie/Oom/HRaLpmRxDM/HuSpH3KIC/ajtKGFRaNjmDoiDHBUdatUKvx0Gk6ZEMspE2IxWmz8eqCKL3eX8d2+MqoMJt7YWMAbGwsI8/fh5HGxnDIxlnkjI/s8y8hstfP5rhJe+jmXfaWHDwxo1SqsdoXbTkzn7pNHd3kd7or02u4r0ssajDQarWjVKtIiHW1HVCoVp0+KY8m4aF5bn8+Taw6QWdbIslc2MT8jkvtOG8vYuI5DTbXzelZ1UandlzOQKhtNfLm7lE93lrA1v9b9da1axZSkUCobTVwzN7XDAzLL5qSwNruS+z7aw+9OHsWF07uurm/tpHExPHXZVJa/sY3PdpagVsHntx3Pif/7CbsCgb6aDkP1YD8tUYG+3L44w6NnrLWYrby7pYgJCcHcuOCENq+P3t5cyIXTE6UISYgjyB4hhBDHCF8fDdfPT2X5onQaWiwE+/lQ0WDkznd2Eheq55/nTuz7lUeNcXyszObe68fy68FqDlQY+MMHu3j+ymkeecFnttrJLm9kT3E9e0rq2VPcwP7SBkzOoX+jY4K4dOaILk/DrDKYeOz7HLLKGwnSa5mYEMLExBAmJYQyKTGExDA/r2mnII4tjUZLl3+7BqO173MMBHa7ndevncULaw9x93s725wW/vq1s7DZ7dBJwD2Yls1N4YvdpWzNr+W+D3ez8poZQ/aYpCgK93+yB6PFzuy0cM6fmjAk6+iMzW7vNOS4Zm4qVru904MWQoijm6+PhhsXpLF8UXqbs4F6W107MTGEhxIncd9pY/lkRwlvbixgX2kDH20vdm+zOrOCa49PI8Tfp93rbLPVxs85VQAkhLWffaH30bB4bAyLx8Zgtk5k/aFqvt5Tyjd7y6lpMvPOlkLe2VJIkF7LSeNiOHVCHPMzItvMIeqsJUdtk5k3NxWwal0eFY0m5+2pOW9qAnuLG9hZVM+UpFB+uzij259DknPt1U1mWsw2/HSd/xyznG1dUiMD2oX/vloN181P44JpiTy15gCr1ufxc04Vpz3xMxdMTeTuk0cTG9J+IGl3r5F62malvsXCN3vL+GxnCb8eqHLP3FCpYFZqOGdNTuDUCbGEOQ8ad3ZA5oYT0rjljW1UGUz84cPdrFyXx5/OGMe89J4N/Vw6PpanLpvKrW9u45MdJahVKhLD/CioaWHp+Fg+2Fbc7nuunpuCxdb7v+HuaNRqzpwcz4pfc9u9PrpmXmr/i62EOApJkC6EEMcIk8XGiz/ntnsx+N8LJ3HR8xt4Y2N+31sJRI1yfKzOQa9WePySKZzz9K8crGwir6qJhDD/XvXcM1psZJY1sru4nr3O4DyrrLHD4X+BvlrGxQczMyWc6CDfLisUIwN9iQ3xJa+6iUajlXUHq1l3sNq9Tai/DxMTQpiUGMLEhFAmJ4UQG6yXcF0MuAGdYyBQgJd+bjsIrqHFypNrDqBWqbhxwcBUo/eWRq3i3+dP4rQnfuan7Eo+2FbMBdMSh2Qtn+8qZW12JTqNmn+cO9HrHgf7W3UqhDi69fRsoJ4I0vtwxexkLp81gp1F9by5MZ+Pt5dgttnZW9LAJS+u5+0b5vDyL4dYuS6vzePRdfNTGRkV2O0ZRjqtmgWjolgwKoq/nW1nU14NX+0u4+u9ZVQ2mvhwWzEfbismQKfhxLExXDgtkZmp4Z3OVrn85Q3sK3GE2tFBviybm8JlM0fw1uYC3txYSIBOw+OXTOlRi5BgPy2BvloMJivFdS0khOo77aedXe64zVGxQZ1eX6i/jvvPGMdVc1L49zeZfLGrlPe2FvHZrhJumJ/GDQtGtmmZ0p/XSC1mG9/vL+fTnSX8lFWJ2WZ3XzY5KZQzJ8VxxqT4DgP81gdkms1W/HVa93198arpvLYhn8e/zyazrJHLX9rI4jHR3Hf62B4NAD1lQixPXnoct761nY+2FxMZ6AjvpyWHER/q167X/tVzU9F10nqnP1osVlb82vHrI4Drjk/r89kQQhytpEf6IJJ+TEIIT7Db7eTkOCrwMjIy+t0v8reL05kQH8LyN7fx1vWzmZ4S3pdFwT/jwdoCt22DiJG8s7mAJWNjWLkur82LwSNDjiaTlf2lDewprmd3cQN7S+rJqTBgs7d/egrx82FCQjAT4kMYnxDCxIQQksP93e0uetoX02Kzk1NuYHdxHTuL6tldVE9mWUOHQX1koK8zWHcG7IkhRAe1f7EtQ3pEa73dT4/F/v6ufebIN6eeYLMrVBtMlNYbqfp/9s47vJHyXPu/UW+WbLn3vt7ed72901tCqEmoAZYOARIOIeck+U7KIZBQQkgWCD1AIKH3toXtve+6rHsvsi2rt/n+GFlusmzvepem+7rmmiqNRtLM+773cz/3Y3OzqCCBOb//bMhB+M77T/taDRR7fMmNGgWf3bWUJOPgZ87JRJfTy8o/rafN5ubOVYXcuWrcKT3/aDBSD/qBOJ62NIoooji1+Drfp7urO7jwb5uRCbDmilnsr+sK6+F9+4oCJqebKG3u5tYVw6u/B8IfENld08EHBxr56GATjV0uAJ66cuhz9tRWefTzMq5bnMs5U9JQKWTsr+vkwic24wuI/PGiqVwyO3PEn+OMhzdQ0tzN01fO4kC9dcgA5t2v7eM/u+v46apx3LFqZNe7u6aD379/hJ1Bi5UEg5qfnlbIpbMzUchlo+4jeXwBvixr5Z19DXx6uBmHp9cqZVyygfOnpXHetDSy44evNzNc/77D7uHRz8t4aWs1voCIQibw43nZ3LGyMKRsj4T39zdy+6t7QuOeOJ2SB34wlUWFCaHMhi/L2vjjRyW8tnremGQnenwBPjzYyBeHm3nwkunM/t2n35j+0YkiyslFMRb4do3IoogiiiiiCItI/svPba5i2y9WEaNRcuNLu3nvtkVhVRkRIZNJqvTGfdB6FOLzOW9qGn9bf2yQwuHRz8sQEVlelMQ9r++jos1OuJBuvF7F5HRTiDifnD689cpIFYpKuYyJaUYmphm5dI70WrfPT0lTN/uDxPr++i5Km7tps7n54mgLXxxtCZ0nxahhSoaJaRkmivPimZJu4u/rK74TRXqiODn4rqlrPV4/1e0OsuJ1dLt8qBQyatod5CXoUQ1zrR5fgGari2ari8YuF01d0lxad9LU5aK52x0alBYlxzDuqphhbZ/Wl7YyLtnAlPTYr3zQeP3iXD440MiB+i7uf+sgT47SIutEA3sPfnyUNpubvAQ9NwX/l19XjKXqNIoooohipOjx9I7VqVgyLpG7X98X9rjntlSx9b6VeAOBsPuHg1wmMCfHzJwcM/99zkT21XWyvrSVhQUJQ56zp7bKaROTQ22Hw+Pjzlf34guInD0lhYtHme2UHqelpLmbl7fV8kVJb5+4p28PsHppXkiRXpQyvCq7BzOz4nj9xvl8fKiJ//vwKFXtDu5/8yDPbqriF2ePZ3lR0rB9JH9AZFtFO+/sa+DDg010Ob2h9880a0Pk+fiUkZOnbq8/rOK/b78sTq/i1+dP4or52fzhgyN8dqSF5zZX8eaeem5fWcgV87Ij9inOmZqKiMhtL+9BRAoi9DT3vmA/RgAMGvkJZyc2djl5eVsNr2yvpc3mpig5hg6HZ0xsc6KI4ruEKJEeRRRRRPEdwHDegg63j7k5cXx0qJnVL+3iXzfM6+e/OCIkFPUS6ePPQSGXDVkY6LnNVdy4NJ8OhxdRhGSjOkSW95Dnx2upcry+mGqFnKkZsUzNiA1tc3n9HG60cqCui311nRyo66K81UaT1UXTYRefHm7mqStn8cr2mmiRnihOGGPl6Xo8OJUZFS6PD29A5P0DjYNSl29YkofDI913TWGJcklhPhLIBEg2akgxqUkYxvYpVqfkwY9LsNg9aJQyZmXHUZwbT3GumelZsahPQjp1JCjkMh68eCrn/WUjnx5u5r39jZw3LW1Erx3JwD8SdlV38M9tNQD87vtTTvm1RxFFFFF8E6BVyUk1aTBqlHQ5I/ezLXYPyYYTzyySyQRmZMUxIyuOdpt7VLVV/ve9I1S02UkxSnWRRtPHbupy4Qtaomw81hr2mGc3V3LT0nzKWoLWLslDW7uEgyAInDk5lRXjk3l5WzWPfl5GeYuNa5/byQ9mpvPb703mrMkprF6ah8XuwaxXUd3uICCK/HVtGc9vrg55wQMkxqg5d2oq509LY3pm7KjHFOFU8AODBn37SfmJBp6+ag6bytv43/cOc7Spm/997zAvba3mvrPG9wtqDMS5U9NYX9rK7upOXr1hHs9trhqzei6iKLKlop0Xt1TzyeHmkMggKUbNvDwzRo0iai0YRRSjRHRkH0UUUUTxDYRWG9lncSBG4i34y3MmsqXCwr7aTn751kEevGjq6DqdiUXSvLUUGElhIB9///FMchL0Ya1STgRjpVDUKOXMzIpjZlZcaJvd7eNQg5X9dZ1UtNlZXJCIw+uPFumJYhBGe5/CV6OuPVHiNRAQcfn8ODx+nB4/Tq80d3j8uLzS3OHx4fL6CYgiP5iVwZMbKob041y9JI9bX9mDxe4Z8pwquYwUk0aajBpSg8vSXEuKUUOCQYUi6P3q9PgiFqZs6HQyN8fM9ioLFruHTeXtbCqX6ieoFDJmZMYyLy+e4jwzM7PiRh9oPA6MTzFyy/ICHvmsjF+9c4gF+fHDqsJGO/AfCK8/wP1vHkAU4aJZGczPjx+bi/ma4nju0SiiiOLU4ut8n2bH6yhttmEapp9t1qv40VNb+cGsTK5akINJe+Lk5Gh8wz8+1MQr22sQBPjzpdOI1Q1tOSKKItXtDrZXWtheZWF7pYUaiyPk4e3xhXcGtjp97KvrxOUNIJcJofZ3tFApZFy9MJfvz8zgiXXlPLupijMnp/DEOinL1axXkWhQ02pzY7F7QjY2Ld1uTFolZ01O4fxpaRTnxSOXjV6QI4oiR5u6yU3QD5nN++zmSm5ZXhB238KCBN6/fTH/3lXLgx+XUtlm54YXdzE/L577z5nA5HRT2NedNiGZ0ydKlphjUc/F5vbxxu46XtxSTVmLLbR9bq6ZS2dnsrumg+e3VLOoMIGr5ueE/W6jhbujiCI8okR6FFFEEcU3DDKZjKysrFG9xh8IDEkiXTU/h1abmwyzjsd/OIOrntnOv3fVMTnNyNULc0d+khCRfhQYvoMfp1ORfIp9f8cCerWCublm5uZKXvJdTm+0SE8Ug3A89+lXgUjEq4jIiqIk/r6+IkSOO709pHgAh8eH0+vH5R15uvrcHDOXz80eMlvl+S1V3LaikCWFCbTZPCGivJckl9bNetWoAn0jsc75+xWzEEWRshYb2yra2VppYVuFhTabm22VFrZVWuBzicSflmmSFOt5ZmZlx0Ukp09E7X/zsgI+OtjE0aZufv3uYf5y+YyIx0ey8Xp2cyU3L8/nSKOVWJ0Ss141SG3+j42VHG3qJk6n5BdnTxjRZ+yLb1KtiG/KPRpFFN9lfN3v05x4PVsrLFS22SP2szeWtVFtcfLnT0t56ssKrlmQw7WLciMS2sMhUt++LwHabHXxX//ZD8ANi/NYkJ/Q79hAQKS0pVsizoNTX2U3SBleZr2KNpsHuQz8YZp9o1YRep0/ILLkj2uZm2Pm/OlpnD0lFfMI/ML7wqRVct9ZE7hqfjZmvTpkY2Oxe/oF2p/fIllUvnDtHOblJRxXn9sfENlZZeHjQ818fKgJg1rB01fNjigIsrq8JAwR3JbLBC6dk8U5U9P427pynvqyki0V7Zz3+EYumpnBz84oGlT7JCNOR06Cbki7Hom8z6el20WsVjXkdZY1d/PClmre2F2HPegNr1PJ+f6MdK6Yn02z1c0v3jhAfacTgP11Xdy6vIBzpqSSFa8LZdaO1G4viii+i/h69myjiCKKKKIYUwxFIl09P4erFuTwo6e3cueqcZw5OZX7zprA7z44wv++f4SiFOPIFYmJ46V5WxkEAiPu4H/ToVXKhyUFo4ji6wSvP8D+ui721XVw+ZzsiPUTblyaH1JpjwQapQydSoFWKUerkvebK+UCCXoVbcOko3c6PTx40TSUYxyAGol1jiAIjEuOYVxyDFfMz0EURSra7GyrsLC1op1tle00W93sqOpgR1UHj68FhUxgSoZErM/LMzM7x4xBLXWxe9T+x1s/QaWQ8eBF0/jeE5t4d18D505N5YxJKXh8Aarb7ZS12ChrtlHW0o3PH+D+cyZG/G5bu93c+epeSoIetjFqBfEGFWa9Cp1KwZZjbQAsLkxkQ2lraF+CQU2cbuiBe99r/S54/EcRRRRRAKFilW/uqeOu0yRBycBn4NULcrj5n7t49LLpPP5FOWUtNh77opx/bKzkivk5XLc4d0hCNhL69u2HamMCAZF7Xt9Hh8PLpDQjd50+Dp8/wKEGK9uDAeIdVZZ+fuLQGzCemyt5s8/KjqO8xcb3n9iMVqnA5h7czlyzIJeSJqltSTCoaLd7JEV7lYVfv3OIxYUJXDA9ndMmJqNXj5yGSovVDWtj43D7WDIuacTvCVJtpM3l7Xx8qIlPDzfT3qefk2bSDGsJp1PJeeSzUq5ZmDtkhoFBreBnZ4zn8rlZ/PGjEt7Z18Dru+p4/0AjNy7N5/rFeWhVUvuYYtLQbovsV97S7eYnz+2kpLkbo0ZBgkGNWS+1006Pn4o2e4ggB8iI03LZnEx+NC8bAcne5z+76wDJN/7/LpzKwoIE3F4/Hx5sCtt+RxFFFIMRJdKjiCKKKL4jUCvlXL84l1uWF2B1eTFqlLi8fh75rIyjTTZueXkPD17k57rFuRxs6OLtvQ3c8vJu3rl1IRlxuuFPEJcLMiV47WCtQxub9Z0onmgdxsKmy+klwTA69WwUUYwlXF4/+2o72RZUmu2q7sDp9VOUHMNpE1KGtWD6zfkTcftEtEo5OpUcTXDeQ5D3LGsUcmQD0qgdHh9fHG3h3X0NrC1pxaBW8D/nT4o4ODWoFaz88zpmZ5s5c3IKS8YljpmVymitcwRBID/RQH6igR8WZ4VS3rdVtrOtQiIh6jud7KnpZE9NJ39ffwy5TGBympE/XDiF7VWWE6qf4PL6kcsElhUl8vmRFm57eTcpJi31nc6Qz2kPzHoV8QZV6LsdmKJt1CqI16sJICKXCfgDIt1uH91uH1Xtjn7v9c6+Bt7Z1zDo88T0GbjHB88Xr1fzvRlpvLOvgcc+H1xcGoa3lDkRfJNU8FFEEcW3CznxUv+4vtOFAGE9vAUgxaTlgunpnDc1jY8PNfHYF+UcabTy9/XHeG5zJT8qzmb1krxBKuXh0K9v7/Ri1Crx+PyhPvazm6v4sqwNlVzGnOw4rnt+J7uqO3AElco90KnkzMqOY26OmTm5ZqZnxg5qd9PjJIsdh8fHrcsLeGFr1aC+/T3/lpTv1y3O44Lpaby3r5G399VzsN7K2pJW1pa0olHKWDUhmQump7N0XOKIFOSjsbGJBJvbx9qjLXx8qIl1Ja39AgImrZKVE5I4Y1IKSwoTQRSHFARdHcwyeOSzMl7YUs1PVxVy+dysIe1sMuJ0PHb5DK5emMP/vneYPTWd/PnTUl7ZXsO9Z47n/GlpxGqVaJSyYS2C2u2S6t/q8mF1+ahosw95vXUdTh76pJQ/fVIKAojBbkNOvI4F+fHsqLKQatLw1t76r6T9jiKKbyoEURTDm1xFMeawWq2YTCa6urowGkdeLTqKKKKIoi8CgQAVFRUA5OXlIRuhB7fb6+eJdccGqVZWL8njf945xL93SQqF335vMj+YmcFFf9/MoQYrk9KM/PvGBSHFRET8dR60HoEf/QcKVwFSh1vxLSY5PL4As3/36ZCd3m33reKZjZXcsiK8l2IU304c7306FnB6/Oyu6WBbRTvbKi3sqe3E4+ufhx2rU7KiKInfXziFub//bMj/7877Txt1mrTL62ddSSvv7W/g8yMtOL29A/a8BD1P/GgmHx5s4tHPywaRvbevLGBGZhzXPLcj9BqdSs7y8UmcOSmFFeOTRqVkOxWotTgk65fg911jcWDWq9h073Kc3gDPbqocVFT1moW56JRy7nxtD+02D05vAJvLF/KSd/sCeP0BAqPopRvUCtbds4x39zdQECdnXkEyHnsHKn0cW8qaONYZ4JLZmejVCgIBEavLS5tNSpH/5HATT39ZiVwQOG9aKr6AiMXuod3mod3uwWJ3D/lZzHoVG+9dzrw/fD6m/6ORoKddO55g7Vd5j0YRRRQjw4ncpzaXF5VC3o9gNoxx4cSD9V2c+5eNPHPVbPbWdfLY5+E9vFeOT2J6n3o7oijy+ZEW/vJFGfvqugApA+myOZncuDSftNiR+cIP9Qy8YUkej35eylMbKgn36DZplczJMTM3N465ufFMSjOiHMbTPBAQGf8/H+HxBfjkp4vJiTcM6tuf8fAGSpq7efbqOSwf36sQP9Zq4529UoC2sg/xa9IqOXtKCudPS2durnlIT/NwNnQ9uGNlYUSyt93m5rMjzXx8qJmNZW14+vjSJBvVnDEphTMmpTA31zzoO4jUxuyt7eT+tw5SHvQfL0gy8Iuzx7O8KCmieEYURd7d38gDHx4NqcenZZj473Mn4vD42VFl6WcXOfA61XIZ60tbeXFrNRvKWkM2O1qljPwkA4kGNXaPH4vdQ2u3e1C2QV98le33V4UoJxfFWODrNRKJIooooohiRPD7/cMf1AdDdUB71n993kT0KjnPb6nml28dxO72seaKWZz/+CYONVj5rzf288il04dXVScWSUR669EQkf5VFE88VRBFkdLm7lCRnoG4an4OX5a18uAnJYiI3Bq1eflOYbT36fHC5vaxs8oSUpzvr+vE6+8/dE4wqCnONVOcZ6Y4N57CJAMymdCvCOeJFJny+AJsLG/lvX2NfHK4uZ/KK9Os5dypaZw7NZWJqUYEQSAvQc+FU+JIMxtDZG+DxUpqvBm5XMbrN87nwwNNfHSwkYYuF+/vb+T9/Y2oFDKWFCZy1uQUVk1IxqQbW1LkeJBp1pFp1nHRrAwAGjqdHG204vYFItZPWDUhmS9L20IepqOFSi6gVspRyWWoFDLGp8QgInL13FTEL/+M7J01KF2doIllUfFqFi+6izaXj5/+ay+FyQZOm5jC1HQTiTFqbnl5NwC3rSzgzlXjBp0rEBDpcnppt3toD/4/2uweLDYPChl0OiJn5rTZ3GyraGdWtpms+BFkOI0AJ1pYFU7dPRpFFFEcP47nPnV5/Tz5ZQXPbe4NYl69IIeblxUMm+Hk8vpps7lpt3lC89a+63Y3bd0e2u3ukPJ8Xn48d762Fwjv4T2wMKUgCKyamMzKCUlsKGvjL5+XsbO6gxe2VPPK9houmpXBzcsKyDQPfl6Koojd48fj9fPclqqwSmKPz897+xpDJHqCQUVxXjzFwRo/45JiBmWQDQeZTCA9Vktlm512m5dxybJ+fXuPL8CxVolUHpcS0++1+YkGfnraOO5cVciB+i7e2dvAu/sbaLa6eWV7La9sryXZqOa8qWlcMD2dyenGfmOOkdjY9EVdhyPkd76zytIvEJyXoOf0SSmcMSmZaRmxEb+HSJZwxXnxfHTHYl7ZUcvDn5ZS3mLj2ud2sqgggfvPmcCE1PAkrSAInD8tjdMnJvOPjZU8sbacfXVdXPT3LczMiuWpK2cjCPT7716zIJebluXz+ZFmHl97jCON1tD7zciK5cr52Zw9JTVU90QURd7aW89v3j0s/XYCXDI7gzMnp2J1+ULtuFwmDNt+d7u8wxY6jyKK7xqiRHoUUUTxtUI0RfvkYLgCdLcsL+DX509Cr1bwxLpj/OHDo9jdPv76wxn8+B/beXtvA5PTTFy/ZJhq8QMKjn7b8eSGCl7bWcdrq+cN6vRevSCHq+bncOmTWwF46JNSNEo51y0e5juM4juNkTwDu5xedlRa2FbZzvZKCwcbrINsPlKMmhBpXpxnJi9BHzYQplUpuGVZPhdOiSPdbMTr6ESpi6U+SGpHKjLl8wfYUtHOu/sa+PhQcz/VU6pJwzlTUjlvWhpTM0yDzq0SvGQdeQphWy/Zm1W8GmHxXSDTMCdH8mX973MnsL+uiw8PSqR6VbuDz44089mRZhQygQUFCZw1OYXTJyZ/bQZ6KUYNggBaVeT6CTcFB/89RLpRoyAjTkeWWSo4lptgoCDJQFKMCrVSjlou50+flvDClmpSTRo++emSQensAbcd8ctHkG34Y+9GVyey9Q/gF8G88A52VnfwyeFm/rr2GMlGNUaNktZuN7nxOm4awg9VJhOI06uI06soSDIM2u/xBSJaysTqlPzv+0ew2D2MSzawakIyKyckMyMzMokRCSNp16KIIorvHmwuL09+WTGIYH7s83IQ4cKZGWwoa6UtRJS7abN5QvNw/t+RkGhQD+tt3eX0hiXwBUFg6bhEFuSZ+exIC39ff4x9dV28sr2WV3fUMi4phtwEHR6/GPp8bTY3erWCjfcu57nNVWHP+Y+NlXj8IjEaBS9cM5fpWbFjYjHYQ6TXdTiA/jWUqtrt+AIiBrWCNFN4ixpBEJiaEcvUjFjuO3sC2yrbeWdvAx8caKTZ6ubpjZU8vbGS3AQ9509L4/zpaeQnSm1OXxsbu9uHXq0I2dj0FAr/+GATHx9u4mC9td95J6cbOTOoPC9IMozqu4gkCFLIZVwxL5sLpqfx17XlPLuxio3lbZzz2JdcMjuTu04fR1JM+O9Co5Rzy/ICLpmdyZ8/LeFfO2opbbZxyZqt/OHCydy4NL+fRZDL6+fPn5ZxrNWGWiHjgulpXDk/h8nppn7v29Dp5P43D7C2pBWAialG/njR1EHH9aBv+z0Qo7HNiSKK7xKi7FQUUUTxtUG0UNnJQ3cfH++BJEdftcHPzxyPXq3gwY9LeOyLcmxuP/99zgR+/e5h/vDhEcanxrC4MHHoE/UQ6W2lp+Cqvlq8vbeeP3woBQzWHm3hxqX53Lq8sJcA9Qd47PMyyltsyAQIiPDb94+gVsi4Yn7OV/vho/haYqhn4E3L8tlRZeHzIy1sr7RwpMnKQGO+TLOWuTkSaT4vN55Ms3bEA8W+pLZiIKlN/2evPyCyvdLCe/sb+OhgU7/iXIkxas6Zksq5U1OZmRU3NEHqccCmRxDWP9C7zdXZu77wTlBJKjxBEJiWGcu0zFjuPbOIo03dfHSwiY8ONlHS3M2G0lY2lLZy/5sHmJtr5qzJUjHOlCEG8WMJl9dPRaudY6220LxnOcus4+mrZkckVqxOL/97wWSSjGoKEg3E6VXDnvO+syawvrSV6nYHf/jwKL///hRph70d2koR0mYgbH8y7Gvl29cgLv4pr03YxI5mWN+spqI7jkZrPKCjyerm7tf2cdrEZJaPT8I4isGzPxDg7tOKyIuVDbKUqewSqe90UpQcw/YqC6XNNkqbbTyx7hgJBhUrxiexckIyiwsThgyc+wNS9s/umg52V3fS6fTw6/MmRVV0UUQRxSCoFPIhCebntlRx47J8HvmsLGIRbYVMIEajwKRVEqtTEadTButQqEkwqEiM0ZAUoybFpOG37x7qV59iICQyUsHDn5aglMv6EPiSqr3N5qHD4RnUrosilDR3h4pD90VOfGTy3hPMSvvL5TOYkR0X9pjjQXrQcqZvQcse9BQaLUweGVEtlwksyE9gQX4Cv7lgEhtK23h7bz2fHWmmss3Oo5+X8ejnZUxJN3HlvGzOm55GXYeTrHgdNrcPtVJGXYeTDDPc8s89rC9tDb23TIA5OWbOmJTC6ZOSR1br6QRg1Ci576wJ/Lg4m//76Cjv72/k1R21vLOvgZuX5XPd4rwhMyESY9T84cKpXDk/hyfWlvPu/kYuWbM1rEXQr86byNEmKxfPyhzUZwgERF7ZUcMfPjiKze1DJZdxx6pCbliSF9G2xx8IDOkFP5rMxCii+C4hSqRHEUUUXwuMRYp2FEMjRqNkWqaJW5cXsLAgIeQXubGsjb+uK++nNrhleQEGtYJfvXOIZzZVcumcTC6amc6/d9dz68t7ePfWRUOn5ieOl+atR6URwLe0wOam8jbueX0fANctyuWi2ZmhfSHFikLGPWcUUdvh5P0DjaHifv/99iHUCjmXzMkM+95RfDfR9xlo1qsoSo6h1ebm0c/LCIgiU9JN/YiBvAQ9xXlSinZxbvyI/VQHweNAHILUFgFh+g8J1GyjprWTg9WtHK1vx+12EYuPKwUfRm2Awng1+fEqknUCMr8Xdrhhqwf8XvC7pbnPDX4PKPVwxRuwbU34z7NtDSy5J+wuQRCYkGpkQqqRn542jopWW1Cp3sSB+i62VljYWmHhV+8cYmZWLGdNTuXMySn9UuNHm/UkiiKtNjfHWvoT5cdabdR3OgcRHz3ocHhIMKgjqrTNejXnTE0d7hfqB63g5S9LZTz/1gZydtXS0WIlrrsMbE2QNBHh8lfB1Rn+xa5OBHsLBS0fU9B6mMtlQJBn7ha11IsJNByJp/FwPE8JCegSs8nLL2LGlMkkpeWBYmiiX6tScOWclCEtZQSlhldumEeXw8u60hY+O9LCuqMttNk8UlbPzjpUChmLChJYOSGJOTlx1He4JOK8poN9tV39VKIjKawaVdFFEcV3E1ZnZKuKDoeXbLMuIpHuC4h0OLx0OLwwoBjzQKgUMjaVt0W0+dtY1sajnw/e1xeCAGadigSDmniDCplMoLrNTm2HRFoLwLz8eG5YnEdxnhmFTDbkMxDgyvnZLCtKinDG0SM9Tkt+ooHlRUl4fIF+bWm7TSqCWZQcM8y7DIZaIee0icmcNjEZu9vHp4ebeXtvPRvK2jhQ30V6nAavP8D7BxoH1Ry5YUkeNyzOZcuxdhYVJnDGpGRWTfhqstQyzTr++sOZXLvQwv++d4S9tZ089EkpL2+r4WdnFnHBtPQhRQYTUo1MzYjl3f2NQHiLoNtWFLJk3GBBU3W7nXv/s5+tFRYAZmbF8seLplKQNPxv0dc2JypmiyKKkSFabPQUIlrYIIoohsZwBRu/bYVOTgSBQICyMinAUFhYOKLCSy6PD78oUmNxkh2vo93mId4gpQpmmbXUWJzkJuj7qSVe31nLvf/ZT0CEs6ekUNfhZH9dF0XJMbxx84LwBf98bvhdCogBuLsUYpLH7Lq/LjjcYOWSNVuwuX2cOzWVxy6bEdGawOMLcPM/d/HZkRYUMgFfQEQQ4JFLp3PB9PRT+MmjOJUY7X3q8QW4eM3mULCrJ523J9j16vXzeeSzUianmyjONZNkPEHFtbMTGvciZhYj/Gl8ePJVEwt3HYZHpoCj/cTO14OkiXD5q/Do1KGPufMArP096OIhbQakz4K4nIiBuVqLg48PNfHhwSZ2VXf02zcpzcgP52Zy4cxM/r4+fNEwQRCosdgp70OYH2u1U9Fqo9s1dJq/SaukIMlAfqKevEQD+YnScqZZh88f4LWddUOqtC+enTE0iR8IQGcVNB+GlsPQfFBathyTnq/hkDodrv0IIv2ed5fA+v+D1hLa6o8h764nTrANeX2hj4OAQ5WAPDYDTUI2gikDTJlgSgdTBsTlwtYnoG9ApgdL7+2XZdADjy/AjioLnx5u5qODTTRZXRE/g14lZ1pmLDOz4piZHcvsbDNv7qknLVbDwoIEHG4fOrWCjWVtNHa5In+/HF9b+l1E1HIviq8Sx3OfjmRM8eymShq7XHj9ATy+AJ6eeXDZ7eu/7u273xfAHVwHyX/cpFXx2up5PLe5ahDRe/WCHNZsOMaTGyQrKo1CxumTUlgxPpHEGA3xBok8j9OpwhbbPNTQxeNflPPhwabQtlUTklm9JJfDjd2hZ2BP335jWRtrNlTw1JWzMOvHlkz+5FATs7LjBl3nNQtyuXZRLhc+sZkfFWdx7aLc4z5HICCGvvOWbjdrj7bwvRnpPL+5Kmyg4rYVBaxemgcIGL5GxcjDFRWdmmHil+dMZG6uOexrXttRw8//c2DI99z1y1X9AgT+gMizmyp56JMSXN4AWqWce84o4uoFOUMWbh0KoeK8Li9Gzckpzvt1QJSTi2IsECXSTyGiN20UUQyGPyCyu9pCepyOBf/3xZDHbf/FSnRqOQb1t69BHy2Ol0j3BkSe3FARVslR0tTNr989xN9+NKufevODA43c8eoevH6RRQUJHGm00m73cNbkFJ740czwqZuPzZTInivfgbylY3bdXwfUdTi48InNtHS7mZdn5vlr54YK+0SCy+vn+hd28mVZG0q5gNcvIpcJPH75DM6aMjpFahTfDIz2Pu20exCR1EADvfavWZCLAMSOwPqjL9w+P81dbuo7nXQ2HkNetw1j607SrftI91YhS5owLKkt3nmI3S/dh721ltgYPclxRhJiY5Ar1SBX9Z8UPctqkCuD23qWg8crdZAxCx4aNzryXmuG9JmQNlMi1tNngiG80q7Z6uKTIKm+taKdgAhPXTmL/XVd/OWL8rDp0lPSTdzw4q6w7ycTJJVZD0men2gIkuZ6zHpVxBR20euSVNrb10jXq4klULwaIajSBsDeBs2HgoR5cN5yFLz28G+qjcOXOIk3603scqVSMHku1114NqhjQrY5wxHatRYHpz28Hpc3wJ+/V8CF+QJ01YK1Hrrq6G6uxNpUidDdQLyvBbXgHfx+PdDFS8GPP08c+je9pxTaj4Euni7BxO56K3uqO9hd08ne2s5hPYkTDWrOmJTMaZNSmJdnDj13PV4/XpcdnU6D6OxC0JqwO1yoNPqI/v4QJdJHArfXzxPrwgefoirFKE4Fjuc+DeeR3oPbVxZww+K8MSEIRVHE6xd5d38Dd7+2j3HJBu45vYhFhb3B8C/L2njwoxI+uGMxBxu6+MUbBzgatEApzjXzu+9PCVt3IhxKmrp5fG057+1vQBSlAp7/uWk+z2ys5LkBffubluWflIBXU5eTf26rGZLQnpJu4p/baojTKYPBCRFvn0CE1x/A4w+zzRfA65cI9IE1X8x6FRvvXc68P3w+ZHBk+y9W8ebuOlJMWrLidWTEaUfUPz8VcHn9PLOpkifWHgu1dWdNTuG/zhpPdry+37E7Ki1cvGZL2PcZKCwrbe7m5//ez97aTgAW5MfzfxdOPa6C3j3P+pEUcv2mI8rJRTEW+PqE7KKIIorvFBq7nLy2o47Xdtbi9PrZeO/yiN6CBo2C5Q+tZ3Z2HN+fkc6ScYnfaYW6RjM6NapflApj9u34Wp2+0PrqJXk0dLo47/GN/OXyGSEf9LOnpKJVyrnxpV1sLG9jSrqJLqeHDw828cS6Y+GLuSUWSUR6a8m3ikjvdHi46pnttHS7KUqOYc0Vs0fcSdco5Tx5xWyuenY72ystITL99lf3sEYpY8X4b59yP4rR3adKhYwnN4QvjiYgcMOAQr8+X4D6LidV7XZq253Udzpo6HTRZHXRbnVgspcz0XuYObISZslKmS8MVpQ32CHVkISgiR2aAI1J4vXUnzFuRgxnTEoh+XgtZPrC3Q3FN8D6Pw7eV3wDuG1w+u+gfhc07IamA+C0QPln0tQDU2avYj19pqTI1hhJNmq4Yn4OV8zPwWL3sKG0hUUFiTy+tpwXr5wySB3+p3W13LQsn8w4LWa9KkiUS4R5fpKB7Hjd8Q3IPQ6ETY8gbOhvmyNb/wAgQt5yeP1qsDWHf71cLT1PkydJSv7kiZA0CWJSUAgCSaWtvPrMdoT9MH2+l9k5SKrvRXdJ77/tyRB5T/EN0nalBlEU+eVbB3F5AxTnmvl+8ThJ7Z84LnTqmOAE0Gp1sWn/EfYfOkxzXTlJgVbShHZShXay5BZyTYkY7G0IESxlsDXBf34CLYeJEQWmEEOKaGKOaKINE13qWJSmVOKS0klNy8KcnMFei4oPKrysL7fQanPz0rYaXtpWg14lZ2lRIpfOzmBJngnFjscRtq+Rzq+JRRcMVLg8IpphiKTRtqU9+C6otKOWe1F8XTDa+9SgUXLzMql/OjAwffOygiG9qkcLQRBQKYSQlUmtxckNL+4iL1FPYaKBsqAVWLJRjS8QYGZWHO/etohnNlby8GelbKu0cPajX3LjsnxuXpY/7OcqSonhL5fP4M5VhTyx9hhnTk7mHxsrw/btZYJwUu5Rs14dsYj21vtW8l9vHIhomzNapBg1wxZzbbO5eW5zdchPXhAg1aghK15HtlkvzeOlYt7ZZj0m3cgDKSf6vNco5dy8rICLZ2Xy8GelvLq9hg8PNvHZkWauXpDDrSsKMWmlz5MYM7RgosevXPDD39Yd4y9flOH1i8SoFdx/zgQunZN5XAVlwz3rgeizPoooIiCqSD+FiEa/xh7fhYHMtwk+f4C1Ja28ur2GtSUt9AgOTFol/7yumE8PN4ctdHL7ygLm5pj58T+2h7bF6ZScNy2N781IZ0bm2FSi/zZjJGmuv3rnIK9sr0UmwD1nFHHT0vzQ97rlWDvXPb8Du8dPlllHjcWBIMA/rpo9mAT+7New8WGYcx2c86dTcHUnHy6vnx8/vY2d1R2kmjS8cfMCUk2jJxRtbh8/fnobe2s7UcllePwBVAoZz1w1h0WFCSfhk0fxTUHfezSc3/PW+1ay6k/rael24w+I9O28aXAzXXaM2UIJc2QlzJCVYRT6FwLziTIOijnsChSxI1DErsA4zMmZvHXDDFTb/oJ8w2AFs3/Jvfjn386PXzjA9krJd7MoOYbl45NYMT6JmVmxKCIUsMLrgo5KaC+X1Mjt5ZL6+qJnweuAbX+D7U/1kr1zr4fim0ATI6nXQx/eLSm163dB/W6JXG8tAQZ2YQVIGNdLrKfPhOTJoFDTafegwIN226PIt/cSzP65q3EW344XFbE65cjbEq9LIvcdFnB2SMvOjuC6RfKFX/XryDYrfZX3cTkSSZ48MUiaTwZzHsgj92l+9vo+Xt9VR16Cng/uWIxGdMOeFyXLlbzl4GgDXQIc+wKsDTDjCt472smtL+9BJZfxwR2LR6yGBLC7fXxZ1sonh5v54mgLnQ4vZr2KXfctRXiocMhrFe86QvvD84lzVCMXRj70CCDQLRhpF2JpCRhp9htpEU20iSZuvfUu9EdeR7ZhcEAmsPReAvPvQKHRh3nXE8N3QaXt8wfwiyJzfvdZ1HIvim8sTpVVhc3tY/KvPiY/0cBfLp9OToK+n83KpvI2fnPB5H6vqbU4+J+3D7K2RCqQmZug53ffm8yCgpH3BU+lLWaz1cXHh5pYMT6JRQ+sHfK4jfcuZ2NZm1TsUiFDKe+ZBNT91mWoFDJUchlKhSCtB7f1HN+zTSYThr3W7b9Yxf1vHuBQg5UaiwOHxx/xekxaZS+xHpxnmfVkx+tIMWpClo0n43lf0tTN7z44woZgcdQ4nZI7V43jh8VZyASBcb/8EH9AJD1Og0Gl7KcOL2228bN/7wtlNawcn8Rvvz95VGOSToeH0mYbZS3d1Hc4uW1FIcV/+O4866OcXBRjgSjjGMU3Fm6vn7+vr/hWD2S+Lai1OPjXjlpe31VLs9Ud2l6ca+ayuZmcNTkVjVJOYXAwH+43VSlkvHfbIt7cU8/bextos7l5YUs1L2ypJidex/dmpPP9GemDUuS+rjjVQSCrK3LhpW6Xl3vOKCIQgH/trOWPH5Wwr7aThy6eRoxGyfz8eF66rpirntlOjcVBnE5Jh8PLHa/s5a1bF5Kf2IeISSiS5q0lJ+16TiX8AZE7X93LzuoOjBoFz18797hIdACDWnr9D5/ayqEGK2qFDLcvwHUv7OCFa4uH9EyM4tsPq8tLokHDXy/OHaSY/s1HVVjsHmI0Shq6XMTTxWxZKbNlEnE+SahCKfQfNDrQUqYaT4V2CjWGaTTGTEKuNqBVyilUyZmilBOrVSJX6XDPuwONALJt/e1H3MV3oFBqOWNSMoGAyO6aDkqauylp7ubv649h0ipZVhjHOVle5sd2EWOrDpLm5VJWSmctg8jupIlgb4F/XgSrfiWRyX3J3mfPhB//B3Y+KxHh+StApe8lxnvgskLjvl7Vev1uyZqkrUSa9r0sHSdXQfJkTOc+jHj0/f6kq6sT+YYH0AK6udcj1B7rT4wPWu7sXfb1D1QMQtJEsLVELPyJuxuufBfiskE9cjK7L355zkTWl7ZS0WZnzYYK7liWLfnLuzolyxVDsqR4d7RLhPasq3nmsz2AyE3L8kdFogPo1QrOnJzKmZNT8fkD7KjqYHd1B6LfS2Du6vABmbmrQRQ53fMQnW4XZrpJELpIFDpJoIsEoSu43kUCwbnQhRkrckHEJHZhErvIA+jp3uniIf5PsP3JsJ9Ttm0NwhBFa08E32aVdiAgsr3Kwnv7GyhrtvHQxdOG7Td8FcX8oohipOghzRP6FIE/KedRK5idHceaK2bx/Jaqfir4q+bncPfpRYNek2nW8czVc/jwYBO/fucQlW12fvj0Ni6cmc79Z08Y0b3VPYK+/Ynco6Iosr3Swgtbq/n4YBNGrZKLZmVEzCCO16u5bG7WcZ9zKPgDAa5ZkBtWcHXNglwCosifLpke+txtNg81FjvV7Q5qLA5q2h1UWxxUtztos7npcnrZX9fF/rquQe+nUsjIjNPywA+msqG0lccGKP5P9HlflBLDC9fOZV1JC797/whlLTZ+9c4hnt9Sxf1nTyApRk1jl4u/Xj6T7Hg9erUCl9fPi1ur+cOHR/EHROJ0Sn59/iTOn5Y2pACgL2Fe1myjtLmbshYbrd29Y/Gi5Bgun5sVfdZHEcUoEVWkn0JEo19jh6FSkADuWFl4UgcyURX8yODxBfj0cDOv7qhhY3kbPU+aeL2KH8zK4NI5mf3J1yAcHh+KYb5fnz/A5mPtvLmnno8ONuH09hJIs7Lj+N6MdM6dkkrcKP2ETxW+CjXbcEqOHfev4rQ/r+f7MzIwaZX834dH8fgD5CXqefKKWaGq70carVzxj2202TxolDJc3gD5iXreumUhMT0qn/rd8NRy0CfBzwbfo98kiKLIr945xAtbqlHJZbz4k7kU58Wf8Pta7B4uXbOFshZbiEzXq+S8dF0xM7LixuCTR/FNg8cXwOt2oAmjmHYX34ay8nOObfwPKdZ9xDqqB79BTCpkzYOs+dI8adKwamaQ6ifIRC/KjmMI5twQqS1aKvHG5eMXlGiVcuhupLu+hGMle7HUHEawVJAZaCBLaEYlRFB+qY0Qnw/xBWDOlwjmojN7PdLDkL39lNoKjUSmjz8Hxp0F+gj3n62lV7Heo153Wkbm4X08RVUFOWjjQGeW5lpz77IxDeb8BB4qGvqcPyvrr7wfDVxWaCuF1hIqj+6h/PAuJibrSfvRXxEiFnLdDy9fhrPlGOr4LGTGNKlYqDFdUrEbM6TPbkoHjWnEH6fd7kYr+NBse3RQQMZVfAd2v5zXd9bRbvegkAsoZAIKmUyay3vmQmhdLhNQygLovF3ovRY0nnZ07nY0nnbUrjZi9FpiFq1GeGTykJ9J/NkxBP3YZvp82wqji6LIntpO3tvXyPsHGkJih5F4Em+7bxXHWm1MTh/5/ySKKL6t2FrRzqbytrDe4bevLODGpUN7lltdXh76uIQXt1YjihCrU/KLsydw8ayMiFlSJ+t5ZHf7eGtvPS9uqQ4pnwHm5MTxp4un8e9ddf3I5R7ctqKA0ycmMyUjdtTnHAnGavxkd/uo7ZBIdYlglwj3WouDug4nvoA44mfgz/+9D41STmKMuncy9C4b1IqIv6HPH+DVHbU8/Gkp7XYP+YkGipINfH9mer8CstXtDlKNGn7w9y1MSI3h1+dPCgWIRkKYD0R6rJbCZAPTM2O5aWk+c34fVaRHEcVoECXSTyG+7TftySaYRVGk0+GlyeoiL1EfMd10+y9W8eGBRtRKOUaNkhiNAqNWiVGjIEajPO7G4KtM5+35fh0eHzqV4mtL4Fe02nh1Ry3/2SUNmHuwuDCBy+ZkcdrE5DFtjO1uH58cbuKN3fVsKm8L2cUo5QLLipK4cEY6y8cnjZkf4oliLIJAgUCAyspKAHJzc0dUeCnSeW9bUcDs7DiuenYHAEaNgnOmpvL5kRZaut3oVXIeunhaqCjmsVYbP356G41dLuSCgF8UWTUhmSevmCWlQrpt8Id06c1/XikRS6cYY/U8+tu6Yzzw0VEEAR6/fCbnTB27wqAtVheXPrmVyjZ7KChh1Ch4+fp5UWLiW4DR3qc+lx3Z5keRhVH0suRnkDYdXv1R77akiZBZ3Eucx2ZJpqCjhceBuOkRhPUPDCK1xSU/R8hZBK9cPnThS8CDkopACpViClViChViKl3aLDILpzJ30jgWFSaiVyv6nTNiQcxZV8OWv8KRd6GzT9BAkEHWAolUH3+2ZIcSCaIIHVXQVib5jD88cehj7zwA790lEenhiHGtGXRx/berjZG/8xEW/oz4+e2tUnZPW4k0by2RCPTuxsHHjyBgIN51GGGkAQNVTJBcT++d9yXcTemg0rOupIXiXDOiz43WWjkoIOM05qJQacd8IC76PQgPRrCT+VkZQoRAxfG0pW02N7N/+9mQ+zfdu4K399ZTkGSgOC8+5Hv7dYIoihxqsPLu/gbe399IXUdvdkWMRsGZk1I4b1oas7LjeHLD0P2GngK9Z01O4e7Ti0ad3RDFV4OQ3YnTi1F78uxOxgrHc5+eSgQCIvWdDhIMmmHtMWQCEe3Q9tR0cN8oipGOtbCsotXGi1ur+ffOOrqDRTG1Sjnfm5HGFfNymJgm8RddTi9Pf1nBO/vqQ4UpL5iWzlULcthU3sb509NHfM7RYiSCqxOBzx+gsctFa7eb9Dgtxb//fMhjN967nJ88tzPkyx4OGqVsELmeaND0I96TYtSoFTKe3ljJ4sIEJqQYeWZTJc8PKCB7/eI8dld3UN/lHDVhPi45hoKk3rmhT5/M7vbx9/XHhiwge+PS/P59uG84vu2cXBSnBlEi/RTi23zTjgXB7PL6aepy0dDppL7TSUOntNzQJa03drpwev0UJcfw9FWzWfzHyP5skRo2jVI2gGAfalmBUaPEqFWQHa/nxS3VX4kK3uP1U9FmJyteF4pM17Q7yEvQozqJBPFIyUiX189HB5t4eXtNyEcXIClGzSWzM7l0TiaZ5tFXEB8tWqwu3tnXwJt76jnUYA1tj9EoOHdqKt+bns6cHHPI9+5koqcjVmNxhCaL3cOvz5t0wj50gUCAsjLpf1hYWDjiQUW4+/TqBTlcNT+HS9ZsRS4Dn1+kok0izIwaBSatktrgIPvGpfncc/o4FHIZtRYHP/7HNqrbHaH3v2NlIT89LVis7uHJks3CtR9LJN8pxFgFvN7YXcddr+0D4H/Onci1i3LH/LM2dDq5ZM0W6jqcITI9Tqfk1RvmU5QSM/wbRPG1xWjv02FJwbuPIGx+HFKnQcac4w9QhcjZo9BRDVMuGpmPt7NTsiDpUZb3qMzj88GYQWO3m7VHW/niaAubytv6ZQqp5DKK88wsL5K81XMS9IheF+LGPw9SLwuL7kJQano/a/MhOPo+HH0Pmvb3/3zJU4Kk+jmQMiUyqe33QITv94TU4ZHgdcHGP4Up/Hk39FxnIABdNdBa2kuYB9XmQ1rDABhSpAKhCUXYjfnctdbFtRedz5zmfwULmvaHf8m9bEr+Ee8faOaB0+LBWg9d9WCtC84bgtvqIp+3D1wKI1UeE3nXPImyci3Chj8OCsgEltxLYM71KESfFDhQ6kB+4sSd3y0Fn4Qw1youvZfAgjuQq4e2ezuetnQ4BejW+1ay6IG1WOweBAEmpBhZWpTIwvwEZufEfaVB/bLmbt7d18B7+xtD7TyAXiXntInJnDs1jcXjEvoV1h2qPb1xaT6PfV7Gmg3HCIggE+DiWZncsaqQtLEoSBzFSYHL6+eJdeUntQDnWON4+7wnA50OD0ebujnaaJXmTd2UNneTGacb0dj0xhd34RehKNlAUYqR8SkxFKXEkGrShFTLXn+AZzdV8vCnZTi9fpRygZuWFQxZjPRE+7z+gMgXR1t4YUsVX5a1hbbnxOv48bxsLp6VOagw53921VGcaybJqAkFZFq7XfzyrUPcvDyfOTnfDpvCkWTzfnSgibpOJ63d7t7JJs1t7vB2KUMhVqfk8ctnsK3SMiSp3RPAHIiREOZ94fD4WF/Syp7aTq5ZkINKIeO5zVX9giPnT0vn6gU5yAWB2K9plvfx4NvMyUVx6hAl0k8hvq037Uii4RqFnDa7u5ccH0CUN3Q6abONrLp3QZKBd29dFJGM3P6LVdz77/00dDnpdvmwOr1YXb5RN2g9GGl6153/2oPXL6JRytAo5WiUcrRKubSukKNVyVGH2Tb4+N79Hp8fb0DkyQ0VgyLTNyzJQyET0J4EAn8kHbOSpm5e2V7Dm3vq6XJ6AWkwtawoicvmZLJifFLkQnQnEaXN3ZKf+p56Grpcoe3psVq+NyON78/ICCk8jle9bHV5qQmmAtZYJO+9nuX6YGpgX4wkCLTrl6uG9aE7kUFFj5Kjb2bDnuoObnhxV6iQ6I/mZfHajlqOtUoD7R7rEYCFBfH85fKZmPUqWqwufvyPbZQ220Lv//cfz+LMySnw0g+g/DM471FJXXqKMFbqnC/LWrnm2R34AiI3LMnjF2dPOBkfF4CadgeXrNlCk9UVItMTDGpeWz2PvDD2R1F8MzDq+9TeCg8WDL3/Z8dgNDYVoiiplluPBpXMfebODumYpIlw+asQyQrk7lLwuSTrGMXIBlIur59tlRbWHm3hi6Mt1Fgc/fa/+JO5tHW7WZyrJ96oR3RaEbRG2rvsbKx2cPqk5PD3aWdNkFR/H6o3gRjo3RebBePPlUj1zHmDbW1OVB1+PPA4IhT+rIe0WfD+T6GtPILnuiAp7xOLpEKqiUVSHYqEQtDG9jvyvf0NPPxpGe/eNBvttkcR+gQpxOLVOIvv4MfP7eXpq+ZgHm5Q7LEHyfX6sIS7aK1DcAfFCsdjnSNT9pLqSt2AZT0otX2WddJ6aDl4fPosRKUOYfNjg4rWigtuR5ApQTU0qXs8belwyr0fzMzgjEc2hNrMvpAJUh92SWEiZ01OYWpmLMqT3EeqarPz3v4G3t3X2E9colbIWDkhiXOnprG8KAmtamjCLZICtLS5m4c+LuGTw82A5C185bxsbl5eMPx/LIpTCpvLy5NfVvDY5+GtR25YnPe1VKafSJ/3ePv3Hl+AijYbRxu7OdJkpaSpm6ON3TRZXWGPTzZqWHvP0ojjxL5BtoGI0SgoSpZIdYlcN2JQy3nw45IRFSM9nqKqFruHf+2o5aWt1dR3Su2PIMCKoiSumJ/NksLEIYVHNrePNeuPDRqXXr0gB5VcRszXMBNnOLi8fipa7ZQ2S8GRhk4nv/3eZNZsqOAvX5QPKgJ/24oCVi/NQyWXDymAcnh8tHV7aLW5whLtfde9/pHZyWy9byX3/ns/KSYNhckxwxLmfWFz+/jiaAsfHmhkbUkLLm8gdM6f/Xsf9505gSSjhi6nF5NWSbPVxf99dISHL5kRtXaJIooBiBLppxDf1pt2JNHaJQ+so7k7fOejL7RKOWmxGtJitaTHakk1aUmL1ZAeqyUtVkuKSYNGKT9usswfELG5fFhdXrqcXolkd3mx9luWimqElt1eEvRq/vd7k09IBX88MOtVbPjZslAjPhA9g7YXtlShVckxBRX1Jp0SjUKOIIBcJiATBAQBZIIQXAdBEJALvft6jpMJ0nmf31IVtrN9x8pCvjcjnbte28uems7Q9vRYLZfMzuSSORnHXYjxZCAQENlWaeHNPXV8eKAplKoIcNbkFB68aCpPfVkZNmCgkMto7HJSEyTIewrW9JDlHQ5vxHP3FKuRKsLrKUwycNHsjIi2RCdTkQ5IxI5cAa4uyf/WLykES5q6ue6FHdRanOhVch6+dDpOr59HPy+jorW/pUOqScOaK2YxNSMWi93Dlc9s42C9lAGgUch457ZFjNvzB9j6V5h3M5z5h5F/vhPEWPhFHqzv4tI1W7B7/Jw/LY1HLp1+0rMYjrXauHTNln7e8ylGDa+tnk9W/MnP5hgtorUihseo79PjVUwHAlL2R1+yvEfV7LYOPh4IkbMZc+D8xyIr0k9QqS2KIsda7SFS/VirjfU/W4bTK6nuBqqfrlmYi0GtGH7QZm+Hso8lUr388/5EtNYMRWdJxHr+comEBSkg8OWfoQ/BTPFqWHyX5MV+vPDYJfW1raV37rbBvBt7v9vhvODlKknhHyLLx0HieGmbcmSfTRRFfvPOYe5cVUintYv0eCNeeydKfSz17VZijSa2VrZz5uQTs6hqsbq4/sVdHKttIENu4denZTBv5kz483jpgIHXChLR/srl0HzwhM4dQg95//z5sPingwMVGx+Baz+M+N89PiLdS0CEJzdUDPrv3rAkD7vbxzv7GjjUYGVvTQfVlqGL0soFgbQ4DbOy4jhzcgorxyejjPC/H6nFX32nk/eD5PmB+t5Cekq5wNJxiZw3LY2VE5JHRLyMFLtrOnjgw6NsC2YlGtQKrl+cx08W5x7Xeb4pdoZfZ3Q5vBxutHKk0Upbt4s7Tysatn/08aGmkJpVfgqyN0eCsczCHCgIEkWRJqsrqDLv5miQNC9vsQ0Sw/QgI07L+BQjE1J7iG8jOfE6LA4PL26pDjteu2NlIauX5NFu94RU7EebuilpslLRah/yXClGDWa9iqo2O45gltcF09L4n/MmhkQ3Pdf51t660PPoe9MzhlSk76/r5PnN1by7vwFPMOAXq1Ny6exMflScPWyf0+nx8bf1x8KOEW9bUcBNy4b2gv86wOcPUNVup7TZRknwtyhp7qa63YG/z+9QlBzDc9fMQauU02h1kd0nK7zHr9zl87P6xV2Y9SoWFSayqCCBccmGiJ7o4SCKIl1OiZvQKuXMjWAnMxLBVV90Ob18fqSZDw40saGsNfSbA2SatZw9OZXrl+ShVshOuWjvq8K3lZOL4tTi23NHRPGVwdqnYvjAaK3V6cPm8pGdoKPF5iI5RtOPKE+L1ZJq6l2P1SlH1PhoVQpuXpYPMKpUNrlMwKSTiObMUV6nxxeIWKU8MUbNnasK6Xb5cHr9uLz+4DyAK7juCq47B6y7fH6cnuC6LxBq5BIMKuQyGc9vqQr7mZ7fUsVNy/J5a29DWIXD8aAnMv3c5vDnfHZzJTcuzae63YFCJrBqQjKXzc1kcWHi16bT3RcymcD8/Hjm58fz/y6YzGdHmnlrTz3rSlq5cGb6oCBFTzX2gCgyNcPE9S8MTp/riwSDikyzjmyzjiyzjszgPDteT1KMehAB6/T4Ilad9wUCqDhJUX+fS1JkhiGRilJiePuWRdz8z11srbCw+qVd/OyMIj65cwnv7m/g0c/KqArauDR2ufj+E5v5zfmT+PG8bF6+fh7XPLuDXdUduHwBrvjHNtYuL0AHEpl3EiGKIrUWJzuqLNR2OLhoVkbE51FLt4vHvyhHq5IzLqjkKEw2YAwqd2otDq55bgd2j5/5efE8ePHUU2IFlJ9o4KXrirnsya10OrxolDKarC5++PRWXls9/2uVKu/2+vn7+oqvpFbEtxp+n3Q/hlNMF68Gvxc6awery9tKwesY/BqQimHG50vEbOL44FQUJGeD/ymPA7F4dXh7jOLVCH7fCRHpgiBQkGSgIMnA9UvysLm9uH0SiT6QcOhZv3ZRLu/ua6YoxciEVGP4tkUfD9N/KE0eh0SeHn0fSj+UCozu/ac0KXVSsdJpP4SClYgTzkdYeEc/D2+BMO/v84C9JUiOtwwgyoPLPfs9tsGvT5oIky/sDVA42vv7krs6pYKhFz8vFfeMzR5RcdhIEASBO08v5B9fVoZV0N2+ooAbg32n48WBui6uf2EnTVYXRo2RX/5wGbPz4xHxIaTPloISecvA3iZlUFSshS8fRoxJQbhxoxQw8tjB65T+tx67NPc6pN9xyOXga3qW9cnS91m/U6odEI68d1lHl8UxAijlclxeH6vnp3LXylxEZxeC1oTd4SIgiph1Kianm1iQn0C8QYVaIaOyzc7B+i62VLSzr7aLpi4XIuAPtl+1Fidv7W0AJEKrKDmGxYUJLB2XyLiUGNQKOR6vn+p2B1nxOrpdPlQKWT+Lvxari/cPNPLe/kZ2VXeEPq9cJrAgP57zpqVxxsSUQRYNI8FIAqczs+J49YZ5bChr448fHeVQg5WHPyvlhS1V3LqigB8WZ/WzjIkEj9dPi6WDNLMRpbsDQRFHq8VKarz5pNoZflMRCIhUtds50tjNkSBxfqTR2i8b8/SJyXQ6PGHHMCD1fS12N6/vrGVDWRt6lZypGbHMyIplRlYcM7JiQ4UNvwkIJ7jq6d+LiJw2IZnfvn+Eo03doYzagYhRKxifKhHlRSkxTEiV+owxQyi9tUo5Vy/IARhERvb0j3RqBZlmHadNTA69zu2TlNAlTRKhW9IkTfWdTpqsrkEq+Lf3NfDu/gYmp5l48OKpvH+gcRCp3XPdq5fmIRMEOh0ePjjQyGs76/oVD80ya1lYkMDEVCO+gMh7BxpweqQxqTM4jg0te/yo5AJPXjlnyDHi81uquHV5AVsr2kiP1ZEWqx3zseFIg2yBgEhth4PSoJd4D2le0WrH4x+cMQRg0krP33EpBqakm4g3qHB4/Hx4sHGQHdK1C3ND9pf76rpCmQOJMWoWFSSwsCCBRQUJpJiGD4QLgkCsTkWsTjUs3zDU/68vOuwePj3czAcHG9lU3obX3xsgyEvQc9aUFM6anMqkNCOCIITul4Hj4b98UY5MEFi9NG/Yc0YRxXcNUSI9ihOGUaNkWqaJW5cXsLAgIeSVtrGsjb+uK0enUrB6SR7/vK54TFNY1Uo5q5fmccvygn6d+5NF5PgDgYgEqD8ghooxjhaiKPlSbznWztYKaWqzeRAQaLO5I3Z8Ox1eChL1HPD48QUC/RrL0UBASulLNmpot0XubHc6Paxeksf3Z6aTFHMCKr4wOJlKV41SzrlT0zh3ahoWmxu9WsHdr+8Le+zzW6rYet9KkmM06NVysuIlgryHLM+O15EZpxt18ZXjDQKdMMLZGrg6e9cX3olZr+PFnxTzm3cP8dLWGv74UQlHG7v540VTOW9qGm/tbeDRz0qp7XDiD4j88q2DvLG7jmevmcOLP5nLNc/uYFulhWarm//Z7OMhGHMi3R8QOdJoZWeVhR3VHeysks4HEnF+w5K8fs+jHvVIz/PIrFfxyeHmQYGnNJOGnAQ9hxqsdDm9ZMfreOSyaSMe+MOJ/3fHpxh58dpifvjUVrrdPjRKGXUdTn74lESmJxnH9l47HkQanAIntVbEtx8CzL9VsisZYFPB/Fuhbie8cH74l8qUktVHiDAPzs35w9qxuFAhm38nchHk23uDbP65q/HPvxMfKrxOL06PH4fHh8PjD069y06PD/uA5cHHS+sqhYy3b1kYMUB887IC/vhRCc3dblRygYw4HYVJBiZnmJiYaiROryJWq8QUnBQqHUw4V5r8PqjZInmqH31fUusffQ+m/xDxy4cQNjzYj3QVHO2IS3+OUHg6fP7/eslyZ0fYzzcklDowJEnva0gCcx6iIRlBEzu0770unhqvEafXj7vBhsvrx+0LBCcp0O72+XF7pW29+/vs8wWC+/2o5DIe/+HM0HdrsXv6Peue21LFjcvyWfLHL+iwexGR+h/SHETE4BwYsC6KffYFYXX5+PEz2zHrVey4dyGyK96UbFbeurm/zcoVbxLw+2iy+kg1aZHpxoiQ83ukc7g6BwcqNLGgGXulmcPtQyV40ex8HGHbGoTgdeqKV+MqvgOLw89v3jncLzsxRqMgwaAmXq9iSrqJxYWJCIg0dbmo6XDQbHXj8Ehq006Hl22VFrZVWnjok1IE4P6zJ3DJnEzeP9AYVi14rM3G2Y9tpCfHWBCkIoXnTk3jrMkpo1IvDsRoAqeCICneFxck8MHBRv70SSmVbXZ+8+5hnv6ykrtOG8f3ZqRHJNZcHh+ygIeMw08i3/4kyuD3mzF3Nf4Fd+IUVSdNGflVqOBH22+wuX0cDRLlh4PEeUlTd7+aFH2RatJg0Cg41mrDoFFEJOiMWiUHg/WF7B4/Wyra2VLRe09lmXUSsZ4pkesTUo1fW7sHuUzGs5srw+57bnMVNy7Np6zFRpfTi1wmkJegZ3yq5Fk+PiWG8alG0vr4lo8EMRolP/jbZlYvyWPn/avocHiJ0Sg4WG+N2LdXK+RMSJWCxn1hdXkp7UOuH23q5nCDFZvbR0CEuk4nmWZdROHT6qV5LPi/L4YUW9VYnNRsrx3xNRYlxww7Lm21ufnV29IzUCWXkRWvIydeT26CjpwEPbnBKTlGM2qhylABxZwEPfvrOtlb20lJk42ylm7Kmm1D3hd6lTxoiyJlXxSlSEGSpBh1v9/c5vLyzKbKfoEKq9MXWr9hcR4v/aSYTeVtfFnexvbKdlq73by5p54399QDkp3XoiCpXpxnHpYIH45vGEpw1drt5uNDTXx0sIktFe391PXjkg2cNTmVs6ekhlXMR7pfnt1cyS3LI9gORhHFdxTR0W4UJwxfIMDL1xXTaulEiZ+YQBdK4hhnlvPydcXsrrbwk+d3srgwgXtOL2JaZuyYnbuns9kzSDhpSl7GlgAVRZHKNjtbKywh4rxlQMVtlUJGdryOxBh1xI5vgkHNazcu6PfeVpcPi91Du81Ne3Ag3X/ZE1x2027z4Av0DqTdPj/JRk3Ec5q0StZsqOCtvQ2cPy2N86alkhF34vYTp1Lpajaoae/TGQynXnZ4/Gy+b8WYqyn6BoH6DthOqppXrpCU6OGwbQ0suQcApVzGb783haIUI7955xDv7Gugqt3Ok1fM5qJZGVwwPY03dtfx+w+O0uX0srumk1n/+xm3rSjkqStnccOLkqL9k1YTaJA8dd3doD6+wplOj589tR3srOpgR5WFPTWdg2odKOUCU9JNzMkxY3V6eeknxTy5oYLfvn+4X9r9Sz8pxuHx819njg+lcpY122iyumjocvVTb1W3Oyj+/RdkmrWMS4phXEpvhzs/0TCo4FPPf3ekqbVDYUqGieeuncMV/9iOw+NHrZBR1e7gR09v49Ub5p0QITIW6NvZHnjPRDvbJwi5HJ4/V7KpuOtwf5uKF78PV70DxnSJBO5LlicWQVxuSM0siiJuX4Bulw9bpxeby0m324vN5cPukbLEut3SPCCK3LlqHBf/Yzd3L/sR8++6G5/ThkJrYEtZE3/6x25euX4eyx9aN2ZZT0XJMcMGa9vtbmJ1Kpq73XiCBZAr2ux8HPRhHogYtUQCxeqkyaTVYdL+GFPR1eQHKpjs3MX4vOUIb90svWAA6Spse1LySG8+1G97QFDgVMfjUMVjV8ZjU5ixKsx0yePokpmxCLG0C7G0iXFYAyrcvgAeTwB3SwBNh4xXl/hh7mrkG8IU/pwrZRl8/4nNY/rdtg3TrlnsHrRKBTXuoS1HRotEgxqfz49q2+Ow4cHeHa5OaV2Q4Su+jWuf20NVu53cBD35SQbyEw3kJ+rJTzSQl6gfPWk5bBbHiWVThINR4UXc9AiyDX/s3ejqRLb+AdQiJC68gzi9iqQYNRa71L/qdvnodvmobLMP/cZ9IAiESHERyE7Q8dSX4dWCAD+YmYFepSBGo2B2dhzz8+OJ1UnX3bcAfM97hzlj2M8wMdXI67tqB5FIwwVOZTKBc6emccakFP69q45HPiulvtPJ3a/vY82GY9xzehGnTUwOkTldDi+1HQ6au1wsyzcgbB78/fbcQ/KFd7C7upvEGDVJRvWogt2R0Jeg8/kD+AKBfor/k4FIfV6VQgqkH+6jMD/S2D2o3kQP1AoZ41NimJAqqaetTh9rS1rYX9dJY9DdZ/Oxdq6anxPWeuSq+TkcabQOqc4GqAnaGr4dzJ5QygUmp5uYlRUXUq2nRiCfQz7eQcHVSHy8jxfdfbKlB8Lq9GF1+njgwimkxWkpSDKM2f/IHwhww4u7mJJuJNGgZm9dFxlxWl5fPX/UfXyjRsnsHDOz+xTuFEWR+g4nj68tZ39d17BtqcXuIdGgDrUxaoUMo1aJXhWsy6WSo1P11ufSKqV1TXCbNnhMz9yoUZBkjDwujder0avlKOUCHn+A8hYb5S2Ds7Y0Shk58XppSpCI9twEAzkJOhIN6kH/I5fHhzcgDhlQ9PoC/P6Do/1eo1LIKEg0hIjyohQDhUkxpMdqEQTodvvotHvpcHg40mhla4WXDruHDocXj8/P7avGDRmoeG5zFbcuL2RimpGJaUauX5KH2+dnd3UnG8tb2VjezoG6ztD1P7e5CrlMYHpmrESsFyYwPUydDK1KwU3L8gmIYr/rDDcebupy8dHBRj482MT2Kgt9DZsnpho5e0oKZ05ODdUE6/kPVbXZ2VXdwa6aDiw2N/efMzHi/6jb5f3Kxx9RRPF1Q5RIj+KEIYoiStFL5pH+6pHMoHokJVaLQibwZVkbX5a1cfrEZO46fRzjU755nlTHS4CKokh1u4MtFb2K8x4VbQ9UChkzs2KZlxfP/Lx4pmXGhvzgRxOZFgQhpNLLTdAPe009xHt7cKDt9gVweHwRO9sH67vodnmx2KWOxwMfHWVOThznT0/nnCmpx1Vgqq/S1axXUZQcQ6vNfVKVrjEDsikGqpeNGuVJs6vpeVf/EL6Iw0GlGuV37OoKr4qEXouBPinwV8zLJj9Rzy3/3M3+ui7Of3wja66YxYysOC6dk8WFMzP43QdHeH5TFb6AyMOflfLc5kpuW1GI2xdgTw20iLEkCZ24Go8gy5iNy+tHo5RHVFy129zsqOoIKc4P1XcN8o6MUSuYlRPHnBwzs7PjQvcKSP+j13bWMTXDxE3L8vv9pm/srufi2RlcMqe/sZPF7mH1izvZUdWBSi5jYloMdR0u2mzuUNr950dbQsfLBMiO14eI9YtnZfBFSQuT042sXrqk3zlf3VHLxbMzRvXfnZVt5h9XzeHqZ7fj9gVQK2SUtdi44h/beeX6eceVmn8i6PG43lfbwbz8BBINGv50cdGge+aBj0qine0BGM19Kjq7ECLYVATcdl6Z/z5VFic2t4/uOh+2Yz5srlZs7kZsbqmgts3lG9JvdSCKkmP4UXE2Npe/d9Aq9g6mbC5/aCDe5fSiCw66dSrFoGWtSo5+wLI2zPExGuWwwdrEGDU3Ls2jyeqivMXGsVY79Z1OLDYP/jClfbrdUnCgp2DaQMzNPY1/eewRn4Giy8pfYu5ia6edVjGWVtFEF3pE50gC9F2DthQlx9DilBFTfDtaBqv9ncW3Y3PJyDHrkAmSKlGtlElzhQxNn2W1Uo5GIQvt77dPIRUrVytlxKiVJBnVTMs0cc/yLOYVJOOxd6DSx0mBkXW1JMVoWHPFTMSgoY0ggIAQIliFYA2VnjbK5fXz/949zLpSKW39x/OyuG15IXK8yG3NyG2NyF3tqJRKqbhpGAjb1qAKBmvdvoDkR9zHXqAH6bFa8oLEen6Sgfwg4T5QJRiCSgeL70IMnqNvYVVhhL73o21LBYUS2fYnw+6Tb1+DuORuXr2+GARB6l85fbQFRQvtNjdtdg8Wm4f24La2oMih3eYO1V3p+xcvSjGwqCAxYvbcTUHitbHLxbv7G3l3f+OorikcRmLzt3ppHuc/vhFBEDDrlMTpVMTpVcTplMG5ipx4PY9fPoO39tbzxu56Sptt3PDiLkzBwJfF7qHbJT0H5uaYWTFuFsIw3+/j72/iixoPIJBgUJFi0pBi1JBi0pBq0pJi1JBqktZTTJph21+Xx0cAkQwDaOUBNEI3gtxEhgF8YgCX04/D02sFIdL/GTTwkTTwCTWwHJkoSh7yz22uCm89IopMy4zlJ8/vDPt5U4waJqTGhFTM41NiUMplknXh3nr+vatuUBugU8mZkRnLzKw4YLD1yDULc9Gr5PxwbiZ7ajqpsTiwusITaz3w+kX21HQG6yVVhs6TE69nUpqReXnxLB2XSEKMGpfXz5NfVgyyx7h5WcEgYUI4jPY+jdEoI7YxZr0KhVyg2eqizeZBIZNqSCnlAnKZLLSukAko5P3X5UNsc3n9KIL+7adPTOFggxWL3cOlszP58GATqyYm4Q+A1y9ZeHr90uT2SdnEPds8ffb3bhP7bUuMUbNiQuKwpHaiQU2GWcPtKws5Y1IyijHIDB9uXCoi8sbNC/EHRBo6nVS22alqt1PRKs2r2uzUdjhxeYduC/QqOTkJelJNGpRyGf6AyG/On8TL22uGDChevSCHMyYlE6NREqdTYlArkMsEupxeOhxedlVb+PxIMx0OD50OL51Ob8QxWFFyDD8szo5IMLd0u/j1O4fQqRRMSjMyKc3EpDQj8/Pj+dkZUpBwS0UbG8vb2FjWRlW7QyKwqzt49PMy9Co58/LiWViQwOLCBAqSJLW4DJiWGcvWZSvpsHsx65VUtTsQgKYuJ+/tl8jzvjZeANMyTJw1JZWzJqeQHa8P/l5+tlW0s7umk13VHeyu6egXvDfrVcQbVCdsJxNFFN81RIuNnkJ8WwsbBNx2xE2PIO+rHgnCv+RehIV30GAXePizMt7cU0dAlAZq501N46enjRsR2TsUvoqCdyNJ/RRFkRqLI0iaW9hyrH2Qx51KLmN6Vizz8+KZlxfPjKzYITuToy0kc6Lw+ALY3L6IheAcHh8fHmzi7b31bKvsjYIrZAKLCxO4YHo6p01MHrH1iccX4OI1m4cktV9fvWDMU0h71A2nurjKSAogjTmGK2R491HwukAX129XTbuD61+QiuiqFDIe+MEUvj8jI7S/vKWbHz+9jaY+gaEUoxoR+Lv/18zwH6D7zMdQz74iVAXe6vRi1ChQKmRUtzvYUWWRFOfVlkGFTaX30zAn18ycIHk+LllSt7fb3LQEK963dLvodvm4Yl42do+fZzdVhh0o6lRyHvjwCIIgw6BRYFDJ+fxoC9sqLSjkAv9z7kTm5kqplz5/gPoOJ+Wtkr9ij89iZ58is2a9ik33Lg8VTgx3zhEVTgyD9aWtXP/8Tjx+iUx3+wJMy4zlpZ/MPemdWqfHz5aKNtYebWVdaQu1FueIrlWnlPP6rlrOmpL6jfJT/TpA9HsQItyj4s/KWPnI5rD3yFAwqBXSpJHmMcG5Qa1Ar1aQFKPmJ4ty8XmcaLY9inz7k/3IXlfx7SjVOkREVHLZqAtoDYXjLRju8wc41GANBaS3V1qwe/qnbmuVkhVXilFDrE6JXBBIilFz7+n5CA9F+H7vKeOn/z5EabMtSFj3ktWqnuWw2yWiu4fU7tmnV8mZlhXLJWu2cPeyTOYXpvRX+6+rPSntWrfLixov8s0PD/o9/QvuxC0qidEO8/zwuqC7gZb6Cp77cDOBrnrSZR2sSPeRLrOAtUGywOmhDJMmwuWvwqNTh3xL8c4DsPERrKKOWnU+hwM57LHFUd7m4FirPaIq36BWhJTrkpJdWs6O14Mo0thuIc3cv7BqWsJJ8tO2t8KDETJv7twP79wOsVlQsApyl4I2dkRv7fMH6HB4+5HscTolE9NMzP7tZ0O+bvN/reD2V/ewv7YTzwjs/dRD/W+VMuSCgIhk43HP6UUsfOCLId9n473L+clzO/vZ2BwvYlV+rstu5ZaLzkB4eNLQB965H16+DE9zKS3E0izG0SL2zlvov95BDCatqg/RriEpRo1SIcPvF/EFAty0LA+dLID45Z+R9Ql4BYpXIyy6C6coZ9EDY5eV0xOkmPeHz7E6fYMyR4xaBVvvW8nyB9dhNqiZkBrDxCBpPiHViFGj4HCjlZ1VHWyrbGfLsfawpLdRo6A4L55VE5KYlW0mLVbD6zvrSDVpWFSYgMXuwaxX8WVZG01drkFBf39A5FiLjU8ON7GxvI2D9dZBGYEjwTNXzWZPbWf4ug0rC7hhcd6YK9Ptbh9/X38srCDothUFrF6Sx5IHx/Y33Xzvcv66TjqnUi6ErDbPnJzMI5fOAFFkwQNrx+ycc3PMPHvNnMjXuTSPp7+sRKuUMzldInl7slVOBG6vn7+uLee5Af3AW5aPLDDi9Qeo63BS1WbvR7SXNncPytCGwffMQPTcM4uO4/vVKGXEBf3J43Q9mW0q0kwarlucx9zffzbqc6aZNEwMkuqT0oxMSjeRZtJQ1+Fk8zFJWLj5WPug1yXFqHnyyll8cbSFxz4vJy9RT2GigbJWGxWtdm5bUcCUdBM3vNhbv2t2tlSs+szJKWTE6WjodIbI+j01HRxqsA4KrKkUMqakm5iVHcfMrDjm5Zt5dmPVqPtk31R8Wzm5KE4tvj13RBRfGQT5cOqce1hX2sAZk5K5fG4Gz26q5v0Djbyzr4H3DzTyg5np3L6ycNTWIF9FwbtIxZ7a7R6+LGsLDfD72kSAlAI5IzOOeXlm5uXHMzMrbkSdDZCU8NcvzuWW5QX9UiJPph/8htJWLp2dyW0rCkMEaLPVxYbSVk6flEysTsXlc7O4fG4WjV1O3tvXyNv76jlYb2VtSStrS1rRKGWsmpDMBdPTWToucRBh0Onw8PbeBrZVtvPf50zkmaukAjZ3v76vX8fsmavm0GH38EVJC0vGJZI+RoUXReDpPkXZelTwf/miHEGQ0qUPN7SilEuESc9cJZehVAjSXC4NQpVyGcqefXJhSMLpq1DeA+D3DVlQkLnXw7HP4a1bYPkvYPZPQjYRWfE6/nPzAu58dS+fHWnmp//ax9HGbn5+5njkMoGCpBjW3rOcn/97X0gF10Oqd6fkQ+cBjhzYyXUfpwxSIe2v6+KCv24a9HFy4/UUJBtCBYg9vgCt3W6+ONrCq9trael2Y7G7GSgkKUqO4QczMwYVMeyrWLl2YS6bj1nCDvx9fpH/efvQoO096k9V8LdONKiDiiE/Chkca7Xz8aGmsP8jgOsW5fHpoSbiDCompEj+ziPB0nGJPP7DGdz0z924fQFUcoF9tZ1c+9wOnr927pj/T6ra7KwtaWFtSStbK9pDRY9BCvxNSjPi8Ph5fktV2O9XEODiWZn899uH+M27h1k5IYlL52SypDBxTFRQXwVOZbDW6/Egj2AD4nO7uWB6Gg63H30fgjxmEFGuxKBRoFPKR+Q/6nfbUW57LKyVglYAccEdyNXHH/AOh57UZRGRt/f2BmsvmJ7OTcvyh2wbFXIZ0zJjmZYZy+ql+fj8AQ72IdZ3BIn1nmJtIBUPWzk+iYDf22uzMkDx75+7GsHv5ZHLZozpdTo9Pi6ckRFW7X/hjIyTUlxaL3gQNj+KEOb3lAmgmHcrtFWDtV4ixEPzBsmKy9oQyoJIAn4O0MNxNQ04mVwVKpQqGpIi+sELung4/BYmRzsmYDJwiVIPyZNgxhTs5onUKPM45E+n1BLgWIuNijY71e12bG4f++q62FfXX/n/1JWz2F/XxV++6Es4HKGi1X7yBv8aU68ve5jrRJcATQegYh3sfkEq+JsxRyLVC1ZC6nSQhf/NFXIZiTFqEmP6ByGHKz6XYFDz76DFn8vrp67DSY3FTk27g2qLo3duceAJefAHIAz5mmBQkWXWoVfLh7UWTDSoARGZwKD2eCRQ42GJbD9ny7exSthNTLsOtJdF/H5FXSKCrRmV4CODNjKEtojncIsKWgOxtHTE0mKJo1mMpUWMozFIwttVCdy+MBlx+9+QbehfQ0a2/gECgGr+7WTGaelySKRXT9YGMLhQcYTVnsdARpxUiyhSdpfD7WfjvStQKqT2Z09NJ9sq2vnr2nL21naGPPUHIi1Ww1mTU7lmYU7YcdVlczJ5Yt0xfvfB4WGFOXKZINnapcRw64pCRFGktNnG+tIW1pW0sqPK0q8uk1wQiNUpEQRCdTHMehXz8uN59IsynrpyVlihzK3LC4f+AY8Tfn+AW5YXIBOEQePEm5blY3f7WFyYQGWbHZ9fxB8Q8QYC+ANiaN0XkAItUsAleIw/MCjjAKRgn8PrpzTYt+z7vXx0sJknksu5an4OmuA4SC4DhUyGQi6gkEnjBmVwTNG7LPSOOeRSP1Qpl6FSylDLBQqTDHh8gSELnF69IAefT2TzsfZ+Fk8ZcVomp5mYnC4RvJPTTIOeOcNBAFZMSOLGZfl02L3E6ZVsq7SMuDVTymXoVHJcXj+NXU4ON1g5UN8lPZcGnMekVTIxNSZkTxYOPTY2hUmGYAByMDEeF1w39WTP6FTE6pQRx+LDqe89vgB/umQahxusHGro4lCDlep2R8gu8rMjvXZ0cTplSLF+2sRk7lhRiNPnZ8uxdjaWt7G90oIvIDIuOYZfvXNoyPvlpmX5nDYxiUUFiawYn0Sbzc3umk7+8MFRdlV3DBLuASQb1SHSfGZ2HJPSjIPsjL6S+l1RRPENRlSRfgrxbY1+ibZWhIeGVueId5dw+T/L2VolDYDyEvTkJ+mpszg5EhzoKuUCP5ybxS3LC0ZUUO941Wwngr7q5YEq7RuW5LG/tpMf/WN76HilXPJBmxdUnM/MikOrOr6G6KtQMLu8fp5YVz7qNMxjrTbe2dvA23vrqWrv9XI0aZWcPSWFc6em4fL6eWN3PZ8ebsbjD2DWq9jws2Ws2VARVrEyUD1SnGvmwpnpnDUlFeMIVCyiKNJsdQctAqSppdvFny+ZzuVPbR1SBf/K9fOOS90A0u+v6keuSwPkV66fx2VPbQmds0cRdDKV9wA+tx05AYTNf5E80XsKwRWvRpx/C+Ibq5GVfgiA21xE+6Lf4MlagkwQgqn/8PTGylCa96KCeP7vB1MxaiXFpwC8vK2a339wlACgkMGO06uIW/cLPvXP5HrvPf0+z+0rC7h4ViYr/rQOhUyGTJAGHh5//070cJD1DGhFiDeoWPezZREVK9t/sYqbX9qF0+unyeqisk36j5o0CmQyAZdXSp0dqTVGj0om0v/o9dULuODxjaHnXU9a9vgehVlKDLkJ+iHJ5nf3NXDHq3sIiIRUTgvy43nm6jkjDsaFg8vrZ1ulhbVHW1hX0tLvfgXJZmFZUSLLi5KYn2+mqctNRpyWORHUOTt+sYrrXtjJl2W95EayUc0PZmZwyexMck4gA+lU41Q/dz2+AF63A822x5AfeB2UGvC68E+5GFfxHSjV2rF9Nogi2Fuk58BD44YmBu8playhdPEgG5vrdnp8fHyomcU5OsxGvWRrozXRbrWzscrB6ZOS0SrleIOKUa9fxOcPBMkOadnr7yU2fMFtLm+AY602DjZ0caTRSlmzLTQw33rfCswaUHZUIJhzwN4G+gRESyXeuHw8ooLyVnvIL7bHkkajPDElvuh1Dal0FZQjKCAsiuD34Pc4sNu6cThsOO02XE4bbqcdj9OOz2XH63aglkHx+dcj/Klo6N/zrsPwyJT+hTnDwCmqaBTNtAjxODQpdCoSaZcnYJEl0C6Xpm7BBIJAjEbBk5dPhE2Phg8ELbkXYdY1HNv4L+KsJcR0HkXVfgTBF8aKR5BBfCGkTIGUKXgSJ1GnKqDUruFYq51jwXbcYvfw8U+XcPlTW4e0sTkp7Wm4wt09WHovLLgNardB+edQ/hm0lfY/RhcP+SslUj1/hVSYdhjYXF6e+rJyyD7v9YtzR6ToDQREmrtdgwn2djvVFsegbKu+/bKBGNgvU8llpMdpyYjTkmmWirFnmrVSgfY4HUaNApvbT6e1C1/pp+jL38Nc/wUqf2+70yaYib3uTYSS94fMcvXOu42L/r6djpZakoUOEoVOkoUOkoROkpHmScH1eGEESnldPNx5AP48MWI20NXP7WF9sF2TywTidErMetWASSooG6dXEd9ne5xONeh/2Dfzc3B2Vw67qjr4sryNHVUdlDRZIwYq4nRKLpsjCVuy4ocXJTk8PhRjUFTV7vax+Vh7iFiv6+h/P6fHapmVHcdZk1OYm2vmuc1VYclemSCMWGAwUjg8vmB2sJOceB0WhxezTkllu4Nss5YWq5s39zbg9vpxeqXi2C5fAKfHj9snrTu9flxeqbCzq+c4r3+QlQ9AZpyWz+5ayszffordPTjIYdQq2Hn/aZz5yHoq2sL73I8WeYl6PrpjCRev2cwtywoGZRk8Eex/XvrkFspbbLi9gSH72FqljASDmmSjhtRYDRlxOhINKtTKoIgkNJcxOdWITi3nr2uP8eqO2tB4bVyygX9cNRuZMDib1+MLcKihi901neyp6WBPTWdYK7Y4nZIZWXHMzJJsiKZmxmIIZjZ7fAFm/+7TIfufO+8/7aSMn0Y7Hra6vBxpsHIoNHVR3mILO67QKuVMSI1hUpqJcckGtEo58wvi0SjkQ94vO6st7K7pZHd1B/vrBgcf5DKBialGiTjPlr5LyRM+cj/G4/VjdfkwapVYXV6MGqUkpNMoTlqdiK8K31ZOLopTi6giPYoTxzDqHEEdw9+dd/Mv03we71pIRRtU9Cm4pJBJxNDzW6p5ZXsNV8zP5tblhWE7VQ6Pj1qLk5wEXcSCdzcuzeeuf+3F4w+Eovn95grZ0NuDy3KZgNXppd3mocvl4bI52by3vyGs9/K/d9Vx/rQ05uWaKUgyMCXdxLigZ6GkYgiwv64zqG6Q1nsVEP3X+6oe/AGR5UVJvHeggcc+Lx+kYBYROWdKKutKWpHLBGSCEJxLxZ7kghCay2USISoPs10WfE3P9px4HS9vrwlbpVxA4OLZGVKqmF8Mefz5+pAberWci2dnUN/h5HBjN6XN3XQ5vbyyvZZXBlSHjwmmbMtlMjaUtQ4Zgb9leQHJweJd2yotbKu08Ms3DzI3z8zZU1JZNi4RvVpBi9VFRZs95Kt7rNXGsRbboPT/ouQYuhzekAp+YGHKZ66ag83lY3lREuWtNrw+qQPq9QdCy57QNnGQz57XL+L1+6HPeQ1qBZ0OD89dPZdnN1f2U95fvSCH566ei8PtQ6WIPKAIBAJUV1cDkJ2djWwIdVtfyBVKBLcDJpwPC+/oLWRoqUAIiHDxMzz80G+4yvUSZksJae9cxkf+OfzW9yPqxMED/Y3l7Sx6YO2Q5zNqVWjTJgJQINQP2v/c5ipuXJpPjEZ5QmmugZ4quUCcTjVs4aU2m5v6TtcgRXpXBC9Qo0ZBnF6FWackRqNEq5IHlUECGXE67C5fxGyKToen3yC4yeqiyepibUlraJtKIWNcsoEJKcYgwR4TUq+fN00KPv3s3/vx+kWUMoHNx9q58aVdPHrpdLQqxYgHxLUWB+uCqvPNx9pweXs74Eq5wJwcM8uKElk2LhER2FZp4Y09ddz7n/0kGNQ8fdXsyIogh4dblhfw8zPG89beet7cU0+z1c0T647xxLpjzM01c+nsTM6akjLqgftIbLXGCuGCtSMpstcXo71P/YEAn5Z2sXTGamKX3gPOTtDGYrV2s760k9MnqUevXvZ7obMGOirBUoloqSRgqYSOSmSd1QhxOZIlR6T6CbYmePkyxJajuNVxOFV9im8q47HKzXQr4uiSx9EpxGGRmbGixxsQ+/m79jw3tUoZT185h9OLYtFsexRh2xqEIMFsLl7N6cV3IACzfvvZmKXAp5k0xGlVKAUvHHl7UDBRueguEGTc9a89g0gOQSBErGtVcnTKvt7vcrQqSf2vV4rEylyYZE5iBBcxgoslc2eg2vdS2MKUoijiKziNmrd/i+B1IvhdyP0uFH4XioAbZcCFSnSjxoOcAHLAGJyGRNJEsJ0f+fd0tOE0ZFFn09AommkSzTQSnItmmsR4GkUzXegJ6WkHZ9oDAUDyZx2RH7xPzq2lMylpLgTORUaAcfJmZmvqmKKoYTxV5PoqMPo7oK1Emg7+GxWQB2Trkzk9dQqylKkwaQpiyhQ6PT7+efV0tNseRf5Ob42ehXNXM/Pq24dtT4+nLR2RL3vBKmniD9BRLWV8lX8OFeulAMaB16QJIHVa7/EZc0A+mBA3aJTcFFQLDrT4i5TBMRAymUCqSUuqSUtxXvyg/V1OL7UWB9XtDrrdXpwef0S1q9sX4Lmr55AQIxFwQ9aU8Tig5ENMh97CVPoxePvYUxnTac8+kzWtU/lPSypbkqfgjS1AgzDof+QqvgOlSkN+qpkjgoLSzlR2R7AaUeEjS20jW9FFiryLZJmFBLGTeNFCnN9CXMBCijGJGHtb5Humu4n/8v2NxQoXRwLZHBGzKLel02Yb+fMpRqPoR7LfuqKAz4+0DJnJNiXdxAtbqkOv16vluL29QX65TGDl+CQumzv6rC+16EYmKDEFukAwIRe9HA8loFcrOG1iMqdNTEYUpaLQ60paWV8qZbXVdzqp73Ry3rRUnttcNeS13rg0P+J5juc+FUV4bWcdGXFasuN1yCW9BXUWB9sq2rl4VgYvbqkK1SU4UehUClq63WFJdOj101Yr5MEMVwGlTBpr9ozfekQrARH8ojSu8AdEAj1jwz7bAJQyGXa3j6WFidzw4q7BtjkrCrC7fTjc/lAdgqHg9Aao7XBS2+GE6qGPM+tVfPnzZQREqfisxe4JtdM+vxjs64os+MPnQbshMeT/Hi4WFKdTkmLUkB6nIydeR6pJgzYYwO5yetlRaUGjlOqC5CUauHpBTr+xaQ+k55Efrz/QW++jT+2PHvTd17MuhPb1ZJn0Huv0+vnkUDMXz8rk1uWFIYK52erio4NNnD4peVBf0KhRUpwX3+8Z6/L6KWu2hVTrhxq6ONLYjdPrl0jxms7QsX0zrXrQN7N2SrqJNesr+n2Hs7Klgr+zsuOYmmEadd/Y5fHhC8ALW6tYV9JCqlFLo9XJsqIkblicj1/0nRSr0yii+CYjekdEccIQ/V4YwjJCLL4BqjYR23WU1RzlGv2/2JNwHm+rz2NXl4mKNlu/9DePX+QfG6t4ZmMV2Qk6JqUakctkNHW5qGq309Ltpig5hqevmh0xJbLd7uZQg3VMfBtB6jhctyiPC6an8+ymykFk2TULc9EqZZS22NjaJ31uLM57xfxs1pf2EswDFcw3Ls1nzYaKMfdu7FEehwtUrF6ax31vHBiTc3a7fVidPjodnlGRkQDegMim8nY2lUdW1oHUMTJoFMTpVCTGqMmM0+L0+vnoUFPY4Mg7+xq4aFYGf7pk2oiuoyf40bdIkNcn4vH78fikfQFRxKhV8OSGyiGDFDcsyRvR+TyeUX73HgdsfRw2PDi4kOGSn8H8W6jJvYzvl8zlRvF1LuZjzpTvYLlsL8+I57ImcAG2gJqAKI4ohTvRoKZdl006kCW0oMaDm15CoycNM9WkGbP/rkhg2CKGCQY1nY7Rnc/q8mF1+WjoFEiKkTxWk00aknRqYjRSOu+/d9UN2eldvSSPVpu7n2cmSAPjGLWCTqcXlzfAwXorB+ut/c7dV71+8ewMXt9ZhzcgopAJ1FqcHKjvYmZ23CCrqR71iNvnZ2dVB2uPtrC2pIVjA/y1U4waFhcmMD0rFp1Szv66Lj4+1Myjn5djH0BQyASBBEPkVH+TVsnN/9yNze2jKNnAOVNTUMll7KruZH9dJ9srLWyvtPCrdw5x3rRULpmdyfTM2BEpZYay1RqJUqanqHKXw0uns7fQVFefolOdDi9dTg+BgMhffzQrFKwdiGc3V3LL8ggeyX0/9yjuUxlwweR4xC//jNCHQDIVr+aCRXdR0eHk4c/KegOYAYmclnvtxPsaSPQ0kORrIMXfSGqgibRAI8m0oaA3WCIAfb8tv60VmT4xoiWHqEtEtLUgI4DG3Y7G3U7c4CP7X7copw1TqGhnm2iiFWlZaUpFZs9AvfeF/v2GIMGsBTzFt5FoUA96NsgEyf5CGSz2JhWG602N7ykA1zddXiGTUZxnRvA7Ebc8OojUFtY/gF8EcdZPmCY7RpbSgl50oAk4MQhODDiJCTgxuBzo3S5pPbjdgBO94CQGJxphACGji4eVB2AI6zth+5MoFt1JnvPgsOrwHvhEGS7UuAQ1XkGFR9Dgk6vxyTQE5BqU8mTyh7FYEQ2pbF/5Wii4bAAKgQyPn2c2VXK0QXoGnT0lhbOnpCIbgRpfJZdhNqiCfvA/Yv5dd+NzdKLQxUrq8Of28ur180kwqLC5tVjsHpxeOOpP5ag9FZgTeq9EOpkoq2aiUM1EWRUThWpyhSbk9mYob5ZU3kj/5djL/wX1OxE2PNj7YXpsiQBh4R1A5MD0qNtSwCMqaZxwPWkL7+7vyy4qB58tLhtmXytNfi/UbpeuofwzaNoPjfuk6cs/gdoIeUuDivVVENtbGFujlHPb4jTuXJEDzi7QmvB7PSjGUClo0ioxpZuYnG6SrjNYu+aWZQVsvW9lP7Xrtc/v4PXVC5iaOYQlhMcOZZ/AobekubdPgMqUCRMvgInfg/RZxMtk/AI4q6YDjy/A63tbyU+W/kc93++WsiaO7W3h4lkZfFne1u/ZkGLUkJugJzdRT16CXlpO0JNp1qEcAcEs+j3D2hJN6NrABEXvfeoV5RwT0zgiZlEiZlOryqNenY9NaQYRPP4ANpePTqeXgAjdLh/dLh9V7Q7MetUg+4Ye28aevv3lc7NYVBBPRZudhk5XiKDNTdBzyexMfjArnaSYEWS0DLxWrwth06P92hiheDXiSDNkhoAgCFINg0QDP1mUi9PjZ2ulZLe1qCCBx9eW8+KVU8Jmjty2Ynhrl9Hep0q5LOKYrYe8PhHIZQKxWskqJMWkJsEgFXoua7ahUcpJNKhRKWTctqKAv66TggjN3W5JhOMDCE+6J8aoSY/VSlOcNE/rWY/VYtQqEEVCQZWblxeAIAlUSpq7MWoV3L6ygJuXFSAT4A8XTsHu8YUU6W6fP2Tx5PL4abW5qbE4aOh00mbz0OX0DmkdpJQJiCI8uaGC9/Y39hsj7qzu4MkNFaxekodcJozIT7/DIRUCPRKm4Ghf9NTo+cmiPAQG2/VcuygXhUxg4Rh60Pecc1lRIo1dLuIDAXz+AL6AlE2yrCgRuSDw9p564vSqUIHjcDWMNEo5UzJMTMkwhbb5AyKVbXYONXQFrWGsNHQ6WFiQELG49Lb7VnHdolzGpxqZmRVLboJ+VFlzTo+UkdvY5aSpy0WHw8OlczL5z+56pqSbuHFp//Hwf3bXcdGsjOHfOIoovmOIEulRnDCcqNAtCq/OYdFd2Nw+ntLexrn2NxhHPcXN/2K2+BofBebwj8DZ7GbcoPcUgao2B1Vh0t86HB4SDWpev3F+2A7S6zfOx6CSiiYZNYqQavh4/Bt7kByjxhUssBfJezk5ZuxIQZC8Dm0uX0QFs93tY1q6iWqLI1gITd7HU09qWP2iRCSF1A09y2G2Z5l1WOz9vRv7kvcPfFRCp8PLksIEGrtcKOX9Pf5kguSRXWNx0G4b7GMdDq02NzFaBWvWVwxNRi7No80eVhY3Ioj0DmRqLA4q2+z84cIpETvaCplA8e8+w+H1o1VKasS+c51KjkbZZ1vP/uA+tUKGTCYQCEjks0yAianGMSHoRg2VDrY/JS072vsTN9ufQlj6c+5s/zV/8U7kw+xb0Gb9hDPrHkVT+yU3CW9yk2kbnPYbmHIxItBsdbH6xV3sq+tCJsC9Z47n8rmZiEjX6/H7idOq6EKPSbCTKzRxVMwKndKoVZAUo8HtC99Z74FSLhCnU0kDfJ0Sk0ZJjFaBUa1EKRcIQOj/mxijxuX1R1SsdDu9eIN/yoJEAzOyYtlb20lZi23Q8bKgElVE6nh6/WJIYdUDs17FD4uzeH5LVdjP//yWKm5bUYBeJQ89G2SCRErb3f7Q4HhGVizTM0xoVAqOtdg40mSl1uIMq14HaQB17tRUtlVauP+tA/2yKa5fnMe/d9Xx0rYayltsg1J59Wo5KpmANyDS0u3i9V11vL6rLuLvAJLqxeX1c9X8nLAWTFfNz6G02UaX04s/IHKg3sqBAYGBHtjcvlCGikYhIzVWS0GSnqQYjfRb95lmZ8ehUcl5/0Bj2KLArTY3nx5u7kOGe+l0eIJEeZAwD36mkaAoOYY2mzui8r7b5SV+jIupKkU3bHo0rE+vCOTMvJq4sjeI99aTJbSQLTSTJTSTKIT/jkNvISqpEZOoFpOpEZOpFpOC82Sc8jQ2iWKvd/gA+OeuBlFkifdv4GsnRdZFksxKkqyLJKGTRKGLeLpIoBOz2EFcoAODaEMl+EnDQpoQLrAcD/rbJVV4GAjb1qBaeCcfyu6EWEtQQdZfKdb/BT3+48Cgnyy474gZccl6hAj1XOSL7uBh3+9BPjJSeyh4BA1OmY6AeTqxDouktg8HVyeiy8rWCffTbOlCptahVOtQavSotAY0Gj0avQG11oBeb0Cvj0Gv02JQyDBEOL/fbUc2pLhhNQG/l6VF/bOMqtrsXPfCTspbbKgVMh66eBrnTUsb0fWKomTJ5fEG+P6MdNyCGi9yrIIRI3JcqPn+jHT8gQD/vH5e6HVOjx+Lw0OH3UO7XZr3qBstjqlU2jzsckjrTpuVZNcxJgg9BHs14w12tLmL4c3VYT+XfPsaxKX3hN13IuibrTJqX3a5EnIWStOqX0F3Mxz7olex7rTAkXelCSChSCLUJ5yHmDYD2ebH+hGgsjEgQCPBHwiwbFwSN7y4a1DRuztWFg72+HfboOzjIHn+KfS17jFlwaQLYOL3IX0mg6SiwIysODrtHs6flsZzm6v47w829Wvbrl6Qg9Pr557TxmHUKclN0JMTrx9xUfuhEPB5EYpXIwtzzwSKVyO6rIgrf42tei+BxgPoOo6g8XUzXqhlPLXAJilBwwmtDiNHAtkcFbM4KmbREVuEkDCOxNgYEg1qDGoFiTFq7G4/z189l05rF0r8xAS6UBLHOLOc56+ey2VPbeFok9QvUStknDMllUvnZDI313zcVlN+tx1hc/g2JgAExrAehlYlZ3lREsuLkuiwe04oc+R44PT6Q2O2cCr4S+dkEqNR0G73oFHIQv2NOL3kpx2rlfyzTTppe2hdqwzNDWpFv9/C7vby8nXF7KzqYE6uOURGVrc7ePm6YgIBkXduXUh9h9SPbAj2J+s7XdR3OKjvdOLySjWBWrvd7K3tDHttBrUiSK5reOCiqXxwoJHJaaZBwa5Xd9Rw7pQ01pa0hAQDHXY3HY5gH8nhHZStOxwMGgUKef8M4oFBoFuWFxAT4Z7UKGXEqJXo1YrgOErKBFfIBGQyGQLSs8ftk+zanF4/aSYNNrcPo0bJmZNTWL00L3St1e0ONAoZVpc3bAD+eJFoUOPxBZDLBD440BjW1tUVtADsK9wzqBWhwsYpRg2psdoQyZ5q0pBqlIIhUp0pAwVJBi6Yng5I7WnbMJm1Do+PX547Mex+h8dHY5eLxs5eorzR6pLmXdK2zgFZGLOy4rhiXjbnTUvj2U2VgzK0r1mYO6KAZBRRfNcQJdKjOGEIgoAjIKd1/PWkD1DnJAbkWL0B3mQFzwiLKPbv5SrhPZbIDnCOfDvnyLezJ1DA076z+SgwBz/DK2taut04vD6e2xQ+TbCn4N3hRsl6ZPjPL0XYVQqpMVcEVQpiUFHi9PolQk0lD5FlAwmk57dUccvyAlKMKhQyI4lGDSlGNXF6FfJg3pjUBEnLogiB4ODTF/R+9fh7rFF6lYa5CdIA4ckNFUMqmK9ZmIPV5etnl9MXJq2UNpds0pARpwktpxg1JBulht2sU/UrSufxBfjPTfN5ZtNg8v4/N81Hp1Jw/7kTONYiVVmvaLVxuNHK4QYrnc7IaZKSckhHplmHQa2gIdioK2SyiN/vzcsKUAi9DblGIUOnVqBVylHIpEG51eXD5RuZx3aaSYPLF4jY0b52Ya5UZLXbPWxa5EhQlBzD/PyEU07QAZKCLRKhY28jW2jhIcU6Gute5ZmqM/lv/5VckrCE273PYupugDeuhx1PI5z1AClpM/jX6vn84s0DvLG7nj98eJTKNjv/74LJIY/CbpcXW0wBpu59FAp1/Yj0njRMi92LViknO14nDYoT9OTGS/OcBB2JBvWoBo0eX4CblxWEVazcuDSfG1/ahcXuYUKqkddWzwspR6wuL/tqO9ld3cnuGqnSvdXlGzTISIpRkR2vx6xXoVVKxdg67N6Iv2lrt4fvTU+nze5mT00HR5tsBIJ2NDqVHIfHz56aTvbUdBKjVnDutFQeuXQGhUl6SpttHGnq5kijlaONVo42dSOK0iDxvf2N/NdZRYOyKf6zu470WC2HG8MTrHa3n/BPC2mAE6tVkmzUkB6rJU6vwhgcYCbFqNGr5dy6vIBzpqSSFa8Lnbem3SGpYoC7VxWyv76L0mYbdR3OYX3vXb4AlW12KsM8w4by6R2o+H/si/IRDZ40SlkoMBOrU/YbLPcsJxnUJBl7lfcDCSSjVhFWcXSiEORKKRgdbt+2NcgX3sH/al8GcTDR2yEa+hHkNWIS1QFpuYVYxCEsYYoMhuEtOVwyDDoNJd1G6iMbiwCgwks8VhKFThKFThIEK4l0Bte7yDUkMt7RHpFgFhytCEo1dHQMe74RwZCEYG+N/Ax0tOOMn0yHr5Y2rwqLT40dLd2iFhta5Foj8eZ4UpMSSYhPAHUMfqWBgCqGgMpAQClNyKSutUIuEGvQRC5MqY9n/nk/GZtr7LkUUYVy/p3IxcG/p3/+nbQ44J9fHEUURUQku6fPjrbg8QXQKuUsKoxn7dEWPjrUhNsrqRfd3gAun+QXLJEbkm+w2yetx+lUbL53OZfNyeKJdeX9BuIXTE+Xnski3Puf/WiVcuL1KuINahIM0jw3Xs/s7Dh0KvmQz/tAQKTL6cUSJNePIjLdbYv4P8JlBX3CmH6/cpmMdaUtQ5JINy/P51BDF6kmLXE6ZeT2KyYZpl8uTQE/NO7t9Vav29FrcZOzEL58CNkA5f3JIED7QqtScMuyfC6cEkea2RhSEjdYrKTGm6VsIHc3lH4Mh98Kkud9Ct3FZsOk70nK87QZYcnzgdCpFSEV/E3L8ulweInTKfup4H84L3tMr1Ou1iMuuosAIOsjCOqpZSBTamDWlcTOulJ6gShKRXqbDhJoOoCrdh9i8yF03ZUkClYS5QdYwgHpWCd4auQcq07nsJjF0UAWG8Vs8q66mEnZqcQceRL59l5yOXPuavwL7uS/z5nI7z88ymVzMjl/ejom7RBtjt8nWeV4HJLq32MfMHfgcdqwudzELbx2yDZGtm0N4qK7KHv7/xADAdQaHSqtHq1Wh1ZnQKXWIii1knWRUiPNQ5MalFrp2dfnN/b5A7R2u0jWioibHu3vez/KzJHRQquUR7SLvGlZftB6ROqDuLrdNHdLYh2ZAGqFJMjq8QUPFZxXSkXne0RLfZevXZhDiknDzuoObnt1z6Cgf0u3mzd310tiJlFEFCVLmPxEPbnxOvyiiNPjx+by0e32YXf7sLn9ODw+HB7Jt93jl9TQJc3ddDo8xKiV/PnT0iH7KpfMzuTlbTW0jxG5rJDJ6LB7eP7quTQGi1r2ZFpmmnVScMjhIdLwW/Kcd9NqG1ocpZAJxBtUJBs1FCQayDRLHt9/XVfOY5+XD7rW21cWcO3CXH73/ckhu1HvwFoqwfF1T1afz99bUNbr62PX6ZMKzyplks3OG7vqhrR1lbIqJZV5Y5cTq8uHze2jvMVGeRiBTg+0SnmIXA8R7CYtWWYt8/ISImZ+xmiUvL1HqkPW2OWksauHKHeG/tPDQUAqeOsPQEu3RLJ/cbQl7HW+vbeeC2dknBT/+Sii+CYjSqRHccIQRfh7UEk8UJ1z24oCrlqQQ5fLi83t53Om8DlTKBJquFb+Ed+Tb2SGrJy/qh6jTkzgWd8ZvOZfTjdDF8sx61VolHLWR+gg3bg0H+MIvZclwlzE4/cxVJvuC0BrtzuinUybzU1Dl1uKSjdEVgiC1ElQymUoZFKquiyouhMRCQQkf7xDDV3csaowooJ59dL/z955x0dRfW38zGxN7w0SSkKoaRBIIIUWkN4ERECaSLOgoAjqq4hiF/3Z6CBNFBAEaTYEpCiggjRD7yUQSN9sf94/JjvZySabZHdDFO/384HszpZn78zcdu6550TShTulBijLENYyhskr8casLMyNJTmmt1pByx5tQ1uP3ajQeP9YekPq9uEeu+dXzgur8mqFjHiOIzNI3A538GIO/Xq+1FOxSYhXpef3TpGOfN0VlFUgDNy0RjNpjdUfGFq8gXM0elLLKx9oZ7twh0FusUESGqPsgkFNGeiIiMitklwGah8yFd4mI+QUxt2llxSrabL8G1qd25n6Gp+jXrLf6CnFJnK7coCwsBMh4RFSd5lJcwbHU7NQb3pr+9/01aErdO52Ic17JJECPVUEMygkKo7oyF/UQnmDNmtJkqRHazDRD8+0pwBPpVPJ/Kwxm81kJqIRbevTE50aSRLmGE0muppTTHV93WjZmDaSc+2tVlB6dBClRweVfA/ofHahaFj/83IOnblVSLcK9HSroPSeaBbqRdO6NbU76PXzUNAXBy+L9aV+gDspZTxdvFMkbp+V8xypFDwVWHlqRwV50KDECHqwVV0aUWI4MJtBWfnFtOXoTXqwVd1yQyGNSW1IajlPifV8KV9rJJ3RTLcKtJJ46ESCl1tcuA+lRAVSenQgxYX7VjpQLtIZSMbztO34DUnipTEpDWlSxygq1puob8u6NLxtA/JQCXX/90s5tPXoddp2/CbdLihtZD1VcmoZ4UsKOU+nb+bT1dxSA4xawVOIt5pa1fMjpVxWicd/ND3SNoJuFwgGF4uBXDCOl3iXlXiQVTWWcLHeSK/1jaHWDfwo2EstJFxyE+Ji/nEpx9YT0xVoK1ns0tylE56pdCy/gC5bjOUlxvMCzoM8VXLyVivIS136t51aTt5uwmMvdelf75K/fm4KCvBU0eAF+ysMybFuQjv6dFhLKtAZqVhvIo1emNhbHhcbpBN9jXjcSHf1JrpmfUxvpBiZD33lGWq3PYJnKE3Bs3RMZz9UGldu1FXLa6VEaLxoiVeo3fAN5BVKvXOn0vn8CpaZCkr+SeLH6kr+Zdu83d9DSYeeT7Hr7c8ZDcTJbA1IAEhnNFNesYHyiw2UrxX68dsFOrqaI3iZ3SrQ0t0iPeVpjEI8a4OJvNUK2jWtI035+m+a1WMSBXR4jlCcT5ybN+XkFdHMDX/Te4Piac3vV8rtv4sNJvrx5K3yy28HkxmUmVVAhy/nlrs1/MuDl6lzk2D69ewdupxTcaI9dUnCuwBPFQV6KEseS/8GeqqoYaAH+bkriWCwv1Chdn0SsSKd0a4RKadIT1PX/EWnsgrIXSmjur5CAs5wP/cyf93IvyQXkM5oFmIZuzWjoibRVNRgHOkL7pD66l4KunuY6kZ2Im7j4+X+Hv7AAkLqM1S8tB9xMhkpPANJ5hFA5OZP5F7yz63MX4Vblcur5AxU7+9FxB1YIBp76yVPIC5lMtG2WUR/LCcyWQ2e/RqWGs/D4qtkPLfGZDbTgy3DxY/JxJjGRA+2DK+ZtpeIOIWaTO0mE9f+OWEBRu1NZoOe5OV5+3MckU84kU848U26l85Y9BqiW38TZR0j3DxOhuvHiL91nJSGQmrGXaZmdLk0thZiCfu/LDcsEUeglCY9aWv4KqLLRURnNUSG4vIN5qbKx6hKIvIPbk4U38tuH8MVZVH0tU1Et05W/cRZYSae9JyS9KSkYiioGAoirzDiJm8j3s5uILR3/c6RIp393DUFxQZqFOxJJ67libmOxHKUOCsUG6rure3voaSXejatdNF/tdVY0Fl83ZWUXWh/7nS3SE+BnqpyDemWBQN1yUJB+YsE0tf83JXk7S4ns5loWwW7BL3kcgr3UxMI4hy07PizMoxmUFa+jrLydXT0ah75eyhpStfGklCnNnO2Do1o0hd/SsaZzuDvoaQXezW3HyKI42jf2Wy6U2QgL7WcQrzV5KmWi/NfOS/Mxwu1Jsou1FFWvpZyNEJ/fT67yMYJLjLIgzY/mSbu/CzLqHYNSG800Rvb/qZbTpQTJNg2iIiK9CYK9lLZD1+rvL+SjTIYroAZ0hlOoyizxatsDO9JHaNIXiYxzCnUo+nG8fSecQiNkP9Ij8h+pHAum15WfEHPyDfQGlNHWmbqTlcRZKMX5KmSJIksf4BkpHA/N5cNVvKKDRTsZT+cjLtSVq3Yy8IquGWQVv5grY6PW6XJE4UwLKVb2RyNYGNJjqlSyCjC373SGOnyipJKlWA0E+UWG4kq+O3W6IymSs+vp1JGSpnzxlZzyW4AT5Wi0rjs+cWu3SZY39+dzABN6dKYwv3cbOrLtdxiMpQkyHU1Br2e5EkTpFt6SzAnjSe6fJBkmtvipBUg8uKKaYJ8Kz0q206bzSk0TjeFBsr30ADZPuKOrKSiv9bTkYbjqV+fZ6lRSBuavPowHbqYQ/0+3UcLRyZSdLAXbbzmSYOIaHwzIw3u1YW8SpL0PLvuCH34UMsaKavJDFr+68Vyt2HO7t+C+JLkQrfytXa/x1utEBJvNhHaoQKdkY5fzaVfzmTT4cs5dPmuhgwmkEZvtBtO5na+jggQY6RfulNqSOJIMGhrjWYyloR58XVXUJHOSOduF9E732XSe99nUofGQTS4dQRlNAumMF93eqhNOC3eU3GoqZYRvvSHVfIiIsEDpnUDP2obGUBtIwMotq6Pzfk3m0G3CoTQTJfvauiK5V+OhvK1Bvp6YgotKPEIsta1JD8elx5JfT/dJ9YZN4WMPFRyYYLhpaJgTxXlaw10q0BHhToj7TkrGCDVJclWjUYzXS3Z3ixs15VRVr62Eo9/HeVphLobGeQpbpX1dGK7v5tSTt1jQmnurrM2iZce79ioygb5alFJ4m7yDKGcrnMoxARqpFaQh1JGcp4jmYwnAKQ1mEUjt0ZvoiKdkYoNQvigYr1wni7d0ZBGbxSOGYwk4zj6bHgruyE5tAazEPdea7RKjEYkk3Ek43mS8SRJYC0veY+M58hbrSA/d6WY5FrGcxTqrSKYDGS2F07GZKS76nBCQCAZzIKHmNFcmtTaZKaS5NxVC9umUHiTTq8nhR1Ng05HKjvbl8suUltjSdYtk3HiLrT6/u50W8uTd9unSc3Zerrqkp+mfC1Pjy/ZR1n5WpLxHBnNoEKtcO1MqH5vXt9fSXkaA73WN4aW7bdtA1/rG0MFWiM1CHCXhDviKihXVZHxHDUJ8aJ6/h5288gU6u2PB7QGM13NKaarOcV230dEFO6npl+eaWv3PqpoocIZVAqeTGbYNSJZduZp9CY6c6uw3NBhVSOIOjUZTkv0RZXu4HDT3qqyAdQocyOTypfg5k+8hz/Jyhrf3fyFGP+hMYTfl9rkMuB2v0MEsxDP/eBCIv+oUuN5aGy1jefWuCnlNKRNBM3ddVZyH1kWa2uk7SUhD8f5HDPVD5BRMXmRm0lGl3LMFBloqlIeDiISQuiFJxKFJxJHJT7WgJDwOesEUdZxopvHyJR3lfjIjhUvjhxcSJT2DNHZH6ucP8EEjjSkpmJSkQYq4a/VY1lRKHWuLH+CRzBtLWpKepM/qUhPKjKQmvSk4kr+lvfcKjcET2ZSQ0tq0gp7lzgS7qdKdgORLp9I7tqdI0o5T/N3n6twjNQ/oS71jguj7i1CRY9lnVEaP9zioaw3WuU+sngzm629ms0l/Rxvd9H/iU6NKLmhH93VGEgl50ktl5FKISO1nCc3hfDYTSEksudLdkfLeMH5h+dK+17La+4KGYVYzZ3KhuRYN7Edeapk9NmwViSXcaJnvcVAXp0EtdYU6Yy08JeKz+3EDlG0ZHSS5DM6o0lcGM6z/qcxCPlrrI7laoRwX3kaAxXojKQ3mqs0988r1pO/u9JlhvQgz6qFdfVQKehqrpaKDaZKjdtyniPPkt3UQjhQnhRynjjiSGc0U7NQT9IZzXaTPBfqjOTnrnTKkG5BxhGF+7lVWs7H0iKZRzqDUQZmSGc4TZGuNIb3Jz+fkRgclo1OovySVf9rOcXkrpTGl3ZXhtEVZQv6TP4ktc7/gZJvrqGA4gv0mHw7jZV/TzfrPkCXGo+m3IAE0hvN9Mvp2/T3zQIymkGrSzLARwZ5ULuGAXTmdqFkgASAeI4qnGTLOCJvtZw81UryVMvIQykndUlMa8tgSmc0k85gprp+bqQzmmnZfqGTEeIZ+9KRq7lCOBkiGtBK8KDhS0K3EDk3MSUi8nWXS0IMWOsevpwrxpn2UbuuKof7qilXY5B4OFhvXbZ4OFS1E5fzHClLBomeKjl5u8nJ311FAV5CeAUvtYICPRSkN5We37LXlOOIxqVHUpsG/hQZ7CluKxf+lno7ag0m0pYMgg2VhPUxm0EynqNl+8sPEUQkDBw8XLgKf6ugmDgONDRJ2P6+fP9Fig72ojO3Ciixvj9N6hhFcMB4UiUU7lScPJnUZLvdX5v8NPEKFT3Cf0gpun3UU3aQmvGXSz/KmelB2V56ULaXfjU1pdcMj1B/2T6K4y9Q6vn/0bkP19BK00iSq1qTWs7TtdxiGjB3P701IJYim7Umuk1Et0+J4YM8VHIakBBOeqPJqYGZ0WSmG3laupIjGHuzC/Q0KrU+LSzjEUREEo+g9u/tctniyF2NnlRynh5NbUgcEX1u5aU9OqUBPZrakNwVMvJSy+muxjbsEYhswhFZ4hcqZBz5qBWUXaSnnadu085Tt8nPXUGPpjakCR2i7IZCmtQxg+r4qCkq2FM0nMeF+5BCJsSRvHxHQz9nZpUYy4uFvzkaIRRLBeGRIvzUJOd5cZGtLMv2CyGYIgM9xPNr8erKtrOFl0rOweksW2PT7UIdBXgqK/X433z0hs01lfEcKWVC2C6VnBc9rJQynjiOoxJ7p/CYBNuP5fFr/VvQmaxCeqh1BD3ZKVrikb79+A3q2iyEPF28e8RkNBBvJ06v2Wigt7edogt3ikhvNIuJxpwhwENJCp4TQ3KUDeX1eMdGRADdKYld7QoCPJT0bLfG5JY+lczlGJj5tKlUDBmdvVVE1/PsL3ZVhILnSC7nS8K28RTmoyJe6UG8HU2eU1Kgh5LkfKmnljX2zrZlgdZgdU2u52rI101JepOJLjezDX3nzynIx42ni3c01Tq3Mp4jd6WMvNXC7osATxWFeKuojo8bNQ71JG83hY0Biai0DXy4TQSp5DIymUEcRzStWxOa1CGKOI4TjUnWIVwsYV0sYV60VuFeLM89VTLSGSs3OMTW9aYT1/PFPtsZvNVKyirmycfOQoXeqCBfF0dKsyTaq2j8OaFDJHmqZJTlIr1LdzXEVbKjDJ6hNLN4CGkNV8mPCsmPKyRfKiA/rpD8uALyo0LyLfkr58wkNxWTXFNMpLlBVJGd1j2A6JljFYYCoYOLCM9m0oXBO0jvH01ymWAAlOdpJcmAFSUJgGU8V6WdZ4VaAy3ac0EM32A5vx/tOENEROPSG1a57bXkADKW5FGxGD1NZqGumqyMoEo5T9uP36Sdp7LEeUynJiE0vn0k5eVr6cytQgIJ9dwSnhFERLA9BvE5EQgEKMiMeCKfeDJ7g/w9lNRer7G/A0mbT6u9x1Jm3i3ROK4hFRVDLRjISUXFlmOkIgOnIDMqPr9N5F7UwWQimZ38CXqDkd7DSLpuLi7Jm1Sls0wqMpQa3jkrgzsZKM7kRa9UthtI5fqdIwqZfaP2pI5R9L+fzrisX2sSwleaWyW7UEfnb2sq3SGskvPizjFPteCI4KVSlD5WK8hLJSeOiK7naWnXqVuUFO5GkzumShK5fvvXNereIpSKDSYy6szSumAGmczCQoBYH6ye27yvpL4oZDyNTm1Q6YLBol/Ok9GM0uTfZZKEy3me3JVCgno5b0kSLuTcUvAlf0veBwiGeDeljJbsrbiPGZPSgCZ2jCSjSah/QihV4bGlXhKVqa8lf80Q5oXWucNUcl4S1rW8sj7VOZrGt28oJArN09KtfGGnWL5WiGWuM5rJelpnNIMKdcYKE7EazWbytApv9dsLGeIc3BLeau34dqSpZFHagq+bnOr5e1D9AHeqH+BO9fw9KNzfjer5u1OotxDi9MLtQnKvQjkZDIYUZkhnOI1SztOPJ7NoVOtgmtK5IaE4jzg3H7qTX0S7T9+mtpEB9EyXaCrUGqlIb6RCrRDzrVBnoCKdiQq0RrpeSPSlsTMt8kijZnSI+mu/oSQcpbBr31HYte/oD3M0LTb2pB/MrcnHw40CPJV0PruQ/pieQv7eHgRdIXEqT7qTX0Qzt5+nMF81XcvV2h0EmkCUU2yknCp4TOdpDSSXCRnIT7+SRgqVG1FxLpFbNBl0xfT2z1cpxFtFelPVBp4yjojjOSKrrOtlcVcKhme90UwfDI6n9g3cbHR/uVhMOoOJUqIDyMtNQXc1esot0lO+Vji3VY0Xbo1aIadATxWtn9SOcvPySEkm8kE+KciXGvvLSmKkWxKaCpMkWYmBFCR4CVobeYxmkLFk0lxRjD5/DyUNah1B525bXVOr+2jm9vMk53naf/4OZeVrJR4hVU0gWJY7Gj15quWS3RQanZHcVXLJboqLdwXvYYuhzfJY/E+cOFVh4QQcGU2ggxey6cnUUFJ0bii9nmeyKTnSv0q/Xy6vXvOtM5rop9O5lN7Sdrv/ntM5lNE0hN6Z+BBl3uhO66/k0p3LJyk6+2dKN+6jWP6i+D3tZJnUTpZJN82+tMnYjlJlJyiKv0FL+Xdoh6ElzTY9QhcojPRGM83ddY6+fSSR6BciU/ZZGj5/LxWZiPonhNOkjlFUqDXQpC/+JJMZgscNz5GMK/Vu5Umop1qjkbR6M2kMJtLojFRY4lFb1hDTNNSLxqY3rDyXgZdrkxHlaoQ4791jwmhChyhxl8HFOxoiCMZ2taL63a3BBDG0kFLGlYQkMtCWozdoaFI9cbErrVEQafRGclfKac+Z2/TOd6eoSGekDx9OoDNZhXQlR0NL9p6nS3cEL3NH4/27KxVVmiiW/X5LOCUAduNmlkeuRk8XsotoTEpD+mjHGZvFxDEpDSmnSE/acrZgm8ygYjOouJpbiv09lBQd5EnRwV4VeqTzVfS4rE49NcvdSJc0mdTlxLbWJj1NMpmasov0ThsgrfFUyelukYG+PHTZZnL68Y6zBBCNSmlAAR5Kl9WZQE8V6Y2gdUduUsNg23AyFw7dpH4JdYTQSw4a0g1mkEFvIotf8+EreaQzmmj1nzcoshzN84du0MBW4XTiZkG5RnRHyCrQ06/n79Dhyzn0cTnJeZ/OiKaxaQ0rXLgiEkKk1ff3oKZhXhQX7kuRgR5kJiGhmCSOrtYoLih2bhJSYRu4dN8F2njkGl25K5wZd4WMFu+5QEv2COHjLIldLYtMlmMcSReeyOo1gMjHTU79WtattO2t6+tOdXzdyEulIC+1jNxKHBhUShmpZLywI4AXDBrXcrV07lYhXbxTRFdziikrXyfJt3AzX0u+7gohdFXTcRSe+iwZNLmkcPelq3fyyZcU5F6FXSnV7UsVMl46/ixnrOLK5XAlz5NBryOFHQOowaCnA3wrOmWqzNgB8qZiwbjOFZAvFZIvFYrPrY3wYR5hFGmdy8A9gMgzhKgwS/CS1uYSdEU0ZaeW/rq6t0plsfQFHGfxsrW6tziOgr2UtHVyezp7u4D2Tu9EwV5qKtIZyUMlp6x8Lb393d8k43nq9N5OMZ41RGO1rYGsKtfBTSGjb59IpeM38mhw63B6olMjKtYLRrusfC39cPImJYT70riVv4vJwZ0lwk9NvzybXro4Uvbcqn2J3APow+wkyq5C6BYiEgvLc1TiuVxaT81mkIIn0nGq0vwJZ38i8q5DlH+dTI26kKndM2TkFFSgM5briKKS86QucYLyVMnIU6Ugb7WCvN3lpJbLxF1Iwvit9DqrFTKCyUhkuX/LlBXJEwgmA3GVJButbj0t0JbmrikbTzu/2Eh5GgMNbFWXsvJ14kKPXFbyl+dL/nLiX7nM9pjMapHIXSmjYC/7uVUCPVWU1iiAGgV7Ur7WQAUl8bQLSh5b+nad0Uy6Ql2lDgj+HkraN70TDU4IIvWBj0i2dwcpSq5paqMulJg8mXiFgnp+vNeFCwZe1CsuzO65zS7U0dd/XK10waA6+Hsoae/0TmIfU1bXsjjy+pa/XVrWHrH2y3q7QEuHLuaQUs5TckN/igzypMhAD6rr6yY6DxXqjHTlThGdvlVIF7KL6PIdwUkgK19Hd4uEMbWlxqnlMirSGal/Ql1y4/SkJBP5Uz7x5EtupKP+CXWp2GAifw8lXckpJk+VnOr5u1H9AA+K8HenCD83Cvd3p4iSEGKWHTyFOiOdySqgM1mFtDPzFp3OKqQzWQV0PU9LTUK8aPGo1nbLWWP5uxiMfzHMkM5wGoWMp34xAYQ9HxB3bB1xCjWRQUv+cYOpX9pU0kFOT64+XOWO7TA1odU0g5pyl+lR2XbqJ9tHifwZSlR+RFfMQfS9uj8VFyTSp4NjiO6eJc7UgDhdAZFcRQG6a/Tp4Bi6qzNRwwB31038PVSk1Zvo5W5RRHvmEHfsayHZjkFLirhB9HK3ZylPb6b0RgF0p8hAId4qCvVWU10/YdU3xFtNXmoFuSuFlfXcYgPdLdJTjkZPWfk6On2zgM7eFhLz3S4JeaDRm+jIlTxS8RxlRPuWq5uR9iwZwNGKX10Xc+9Kjob0RhN5yIzkk7mIuKPrhBiRBi3VixtMppRnSG/iKNhLRceugfQm5ycWQZ4qKtIa6dPBLYj2fkDc0dL7KCBuMH06eCplaw0EEOWU49VbHSyx6RsGelBesYFWjkkihUlDapmZ3GRFRDIvSq+nprZjkiShXSzGchGI/1WZfJ2RVDKeMqJ9Kr6eXOUe8DzPU1RUVLW0VXIZ9YgJq9AwyIFo9W+XyNNNQVHBnpQa3Z5CvR8gP3cFZV47Q/pjGyn40rcUqhG8wkL5XOrH/0p6yOiiOZjCuWzKkB2mdP4ofW7qTp8YB9CMHom09oyGRsjdSaF0oy+HhJMiKJL2nsmmrw5dpvRGgXTg/B3SV9e6WgFAaS6DzwY3pLaNQsisLyZe6Ua/nrlJs767SNmFumobc+1h8bhefVAwRPaOC6X0RkG05+xt2nL0Jj3VuRFNaB9JOdUI+1QewjkSfviF7ELafeY2bXqiHcmMGlLLTKSmPCKZL6XXV1PqkymkkMlo6pp9dC3XMUNkeRTrjZIdMh0aB1LbhgH024U7tPt0Nnm7ySnAQ2WTQMrirWsPOSfER1bKZWQGkc5kJp3BRGYQ5Wn0NLFDQ3o0rSG5KWSkMwghqIr1JlLKiW4X6CnUS1USe5kjcVmvJGm08BsqN6wIyZcEL6gLdzSUeSNf9Eg3GE2kKAkzs/34DcpoGlLpborq1tN8rYGGLPiDZna3NfTOmv87LX+0DfmWeMW7igKdkXw9FJXsboiyWQQVw7uIhhOrv5bHVlvQLYYdnhdCF6nkMtpw+Co92amRTTiZDYfP0kOtI0gp4yjUW02mEu8wsxmSJG1mM8hMth5nlqbZ+lpbjB3fHL5WruY3h8/SkNYRpKhkq7v1gqq1QZDjiHjiiDghx4kRIF83BSVH+tPTaw6X+12f779AkzpGUYswL8rTGokjIWl2jkZPGoOJDCaQ0Ux0LruIzmUX0dZjNyu9nk1CvGxi5pbdUXbudiEpeI4MZlCR3mSTUNkRPFVedKdQX2kemT8u5ThtXJHzQj4XlZyn89lFdPDCXQr3c6PggNJrevquia5fuEYDW9lPkOZIX1qsF8Yq5Y15LWMVBe/4TiuOhHpjuWdvF+ro1B0TNU15hmRExJ8pNYCao7uQKWUK3SkmMhirch05yid3yoc7XUKI3XfWLVDTXs9QorqtidKnEkV2FJKWu/kQnd9JtOdD4ty8qaACz8rykPYFtq1xXV83KtQa6IPBCXQhu4j8Pcwl3rBCDPkPBidQvtZASrnMZQuKbkoZRfi7Uf0AdzJoi0jBGUlOhcRxnuSvMFKvmDAyA6SSy1xmSC/Sm8lsMhDf6UXifMJtzi3yrpHZZKiiR7gUM4jMVuMFCznFBuJ5nhbvu0YT2z1J6PBciSOHL3H6Ylr82zUakxpJ6grqi64k3ElecfXG4H7uCnq8YxQpU6eQvHk/4vwaiGXF3Qtk9G9EesjIXqpcR+qpl1pBveJCaXaPhuTr7SkkxVV5UW5+Af3f9osU4Kmil3o1r9Z3VkZesYFe7dOCOjV0t9HceaGYdAYzvdynRYWfN5lBhVoj5WsNJQZ2wYBZqDNSvuWxtvS4r5onXpdPqnM/EN9yBFGHaeI1leXfIPWZLWRo1J2ah3rSpZzichcILAsHpYsIQsg2YaGg7Ht58lbLKchLZffcBnqqKD1a2AVZNgSOwfqvyRKurSR0m0lI8ikkA7U6ZjJTqLea7hTqKbGeP33QP0rQLSlrbn4BTd14nu4W6SnCz42MJrPo5KUo8XK3zP1kvLV3vNUxvsRT3uo1b7Wi0rL6eSjph5NZNnNwlVyYZ0YGeVBkoKf4uGOTYJvEwSYz6HaBjq7lFpPWICwcjk4KE+bDP64T54npcYMpPW0qGTg5fTgkgQK9VORdZneOxWD+56UcWnPossRgXhEgUKCn/XLWWP4uBuNfDDOkV5PPPvuM3nvvPbp58ybFx8fTJ598QklJSZV/8D6GM2oIR74gvk48UdrTREXZRB6BxJ/fSeY/l5MsbjiFequrbejNRD163jiB3jMOoUfkP9II2Y8Uwd+mx4oWEYqHEHk0Ie7EN0QHF4mee1zSOELKZPJVykkh5ynURy2mJOKk/5HQdZBkAm4ymslMJZN1q61tGoORfOU6oj9WE1cnQYhdWFJO7vxOwp/LyCtuGJ3LLqK8YgNdviskDzGbhYmw3iRsgy4uMQxVFR83BcnMGqIjFevK4oaRl0ruMkM6gciN0xN/ZBVxYfFEqdJryh1ZSXzCI3QrX0sh3ipxS55MxpHCKjauJR6ucMo50WMIsJxfIamU3mSmEC8l+amMRH9+YaMplHM5+SUMpwYB7oIhTy0XEgi6KcjfU0mBnkrycVOSh1JObkqe5BwvGDtKvOVMELbWWbb26kuyt7vJZeSlAFH+NeJUDYh0hURyNamLrpI6IJoMZp6CvZTEc17i1na9yTKwM4lxes1Uuo3XHh5KGclNGqK/Kr6e8vhhRHLXb3MtNphow59XK0wEF1vXh9b+cbXc7YbCxL41cdSawiib+vJ7aCj/M4Xz2aTkTNSAE5LT6SAnFWekCfKtNEi+j7yKXiN94lCS1VlDFJ5I3rp8IpmZMiLdqJjzJxnPk2cVkwJXhRyNkC9g6xNJpDIWECfjiEhPJHOn9PputPWJJCJeWa1cBpVRqDNSqI+a3JQ8nZ+ZTpxSTVScSw8lxtLHAxrR/AO3SMZzFOajJg+VXAidUGJ811UhBFF56E2gyAB38pCZiX6dK2y9L2kD1ckTiNKm0rGbRS41ohMJu0sMRjPNH55IbesqxbJObF+PoC+m364ZyGR2zJ3XCKJCvZlIL/18ZJAbta4v7NLwpELiOTdSmHKJlL4k44rJxHlSiJeKcrXGEk9im9WuKgNLGU2ghgHuFBXoQXJTEXGckRTGXCKFL9V1N1JITJhTMYArwlutIE+1rNxY5Z5qGQV6qsjPXUF1fd2E3kvsuyy/39LGWj0m6zADpX2eZWEh3M+tUgNo2TwcREK7ZyJy6P5tEuJVaX6KvGI96U2gmy5aNPBzV1Yhvqqh0oUK6/NtzyBIRNQw0IMKtcZKjcu5xUaHjcsKnsjPQ0UBHkoK8VFTmLeagr2EHWU38myTYa6f2I5e3XyCbuQV0+0CvegJ6cjuNWvclTyFeNvPc+JRkudEreDF8AGOrGla8suojTKKDPSgMB+3CuOyq+Suj6ftwRsIf6yqcMzrFTuMCrSOL/hbdvZZdtupFTJqFOxJOrOZ3No+ISRmLDEgQV9MOsjI152nXDs7jaxbq6qe80KdiYxGA8lHbiIu56Jw0FxSLt8GhJGbyGQ0kGtbQpC7SkYmmKm+p1lwcODyiWS+VN/TTCaYyV0pq0YpKifUR0UmgFSciRRFV4hTlTrnuBddJlJHU4GRIz93141VlDKOsot5Cm41mnBHCA9pObfwbUAU1ZUu5xqo2KW7jxRUrDPSpNQIwZHj4EJx3EDJ42lS2rOUozc6tROoPBQyYUwu56wM9ObS+iHnOALv+noKs1lwuLojOFxZxve+uhv06eAY0pnNRC5OWuumkNGA2KByNQfERlfqKCPjOfJRmMhHf4fIfIvIkE1UfEuIMW/5V3hLaHOKSpJC9zxG1KIf0Z4PhHwFVtdUljaVZCBaVfCY0Fl4BBJ5BJX8C7B6bHXcPZCokt0BOr3R/rkF6P96V7xg4Ch6o5mWPhJDtOcDiSOSb9wgWvrIVDJwKtr0ZJpLNSsra47eRDN6NKUL2UV0vsSD+9IdDemMZsq8WUCZN2379kBPJUUGegpG9iAPaljy2BJ+0aQrIipnDm6ZD8sSHqFgb7XgYX5LMJSfziqks7cK6VpuxflFgr1UFB0i7LZsHOJV8tiTfN2VlV/TGqgvDMa/HWZIrwZr1qyhqVOn0vz58yk5OZn+97//Ubdu3ejUqVMUHBxc2z+v1pArlMTFDiI6MI9o4+OlnXjSOOKTJxEnl9Nk/SIqkOcQUfXsD5zVYHm3OZ7qc1nU2FNLnkFNifZ9RFQm2z398p5g9Et9ml7LfZGMxdnEE4gns92/HAfxOUfCY45APA/ieJCMCySO/5242MHllpNLnkS8TEHfFD9GKMquqDBEStvBf3mnQyw3gonnj9jXlStoOz+ZjKrbBOLIVFIqM3FkJp5M4MlEvHhceCwjE/FkJJ6MJCMThOcGkpGnOph4PpW4mPKvKZc8iXheRjON/6P84tskszqPshJlnswk40rPsayS868w+ZGM22NXU8bJaNbNx0lXmCOWE8SJ5bT8BXGkJU54DXyZ10sfy2Uy8pk0j8gnnLiT5S/I+Guu0oSrM8hoMpV8I4gvuT5cyX3DyUrvl9J/JN5XwrUUPueuCCJevsXu9SSFusr1ozq4KWT2M7IrhBjSVM5OUsvEnojoCgXQZ+b+9Bn1pwjKoqmKddSN/53cOT2puNKJfADlEp3eQoqEh4gu/kK0doSwRVztS3zyePJIe5Y0ZqIwn+ovslVEsJeKZKQjuYwjbv8iyaSCSx5PqrSpZIKO6gd6iNvCnSXES00Go9nu5DTPYCatwUwXsotcounvoaSEUIXgrVJOEjgQUWzKU+TvwnAcRKVhm9rV9yy3rO3SnqVcvZmCvFyne/52MWn0JvJRmol+/VSiySePJz7tWdKYeSEGvYs06/ioSW8yk5fcTLT/E5tyKtKeJa1ZRq6eVOiNJlo1NpkW/nLepo6uGptMRpOZcjQGuxOl6qKWyyjEW20/0bNK7lTi1rLIeY683OS0YPf5CmOdTugg5KfwdZOTSiEjpawkxr2CJ5WsNFmaSiEjlUJI2qZWlDwvCUGglgs5WVQKnvzdlFXSfDgpnLLyS3eFaUr+WnaeWOfmsE5IV55ZTyHjydddaT9JuUJGhTrHja4GM9GtAh3dKtDR3yUT9hHt6lOEv3uFyTBn94uh9u/b5ongOBLjrvu4Cf983ZXk4yYnXzchp4mPu4J8rV6zvFetkFGB1iDmOSl7fjlOiJF+9nYRacsJteSmkFGTUC9qEupFUYEeFOajJi83heidmVcsJJ0rLAmFUKQzUZCXstK47DWRIE2mUNgd86oUCnpe/iVdk+uoAO5UQO4lf92oAG7i80JyowJyKxkdVEzjEE8ymc3Cwuke2zbQI+1ZKjTZ70sdMTvzXMl4HWaikxslYyRKGkeUMplAMpf2MTfztaQzmslPCaJDn0nKqk4eT5T2LOXoOXGRyFF4MosxvQ1380hhKCCSyyscC6r1RVS/4A8K5u0btjk7Z9r6NZWWJx80JzJ5VqgZptBQHJ0hDUfiuNUylof1Y1gf58kkjo95yftzCzXkI9MR7fmEuF/eLf1h2lzidr9LICKftk/RXY1rxkYW5DxHZqOWiDdV6PzEkZFIbs8nvfqoSEcwmSq+pryMXG0GUZiKiVCxpgLFRJk7BSN4odU/TbZgJNfcIdJXIzGxbz0ig4bowHyiMteUdpc8T55IJFMQ5Vwgyrtc7tfYoPYp38he8lwV1ZlA3L07twARzKQwFtlxLFtOivihRCa+ZLUb0r+Sx2Yik4HIrCcy6olMOuGvWU9kNAjPTXoik4FUEckElVfF80RtNj1UvJHIg4jczUT1zGQymaigWEt5hcWUV1RM+RotFRZrqbBYR3q9nuRaM8mumUh+zUwyMpGJzHSeTHSFM5Ovjw/FT15T6Rx8//vDqEBTRGbIKYIUFEJyakty0ssVpFCqycfLnfy8vCjAx4uCfL0oxM+bPNxNRDIjkVxDJMsh4mREd+REOTJS+dYjyJT3tL4wGP92WI2oBh988AGNGzeOxowZQ0RE8+fPp61bt9LSpUtpxowZtfzrahG9RmjsyzFqExFxLUdQd8VfRPKLrtFziybi5UJDXx4HFxGX/iw1VucTaao4aKgMzkiUe5Ho+PqKyxkzSNgWzlXsFVRtZHKi/KtER9dUrJswjNzlHBFXgXGluu5CqmZEhiL71zR5IrVWXSWSZVbzyytA4VZ5OWMGUqgsn4i/5SJNd+Hv/o8rXJChmEGUpjhFRBrXaPIkxIU8vLLCclK7J4nc7HuDmM1munLlChERRUREEF+FbeTFBpNdg8OgxHAa0jqCig0mSRxTM0AavakkJrnFiGHJc1CP/k/3NE3VGagvv4+eln9DkbxV+IFec4jb84FNWS2TNvdWo2hGwdtUINeRnIwkJzPxnJkUZCJZyQKMvGQJyLJIIy9ZDrIs4MjIRLKShTBlgZLkuZuJO76+3EkFByJZzEBakD2KtEqd8I0QJp6CAmez6CQck4nHLYtOln/yXAV56xYT/bay/MkpiHxaDqepeW+RUW4sWWCy/IP42HpByvo4TyCeky4+eXuFEPHbKkwCxx1YQEibQlu93qQ8w62Sb6KShaXScpmtylq66FZaXnHhrWQxTmaQk58ukujglxWW1TdhGA3PnU96uWAssywsEYS/FmOCeNwSJkNccLJsSeeII5CHkicfbVOiA19VqOmeMIyeKf6MiuQmAoQFMxKXsCzLW2RRFH5BSdgXTnyt9Lcp7/LkZW5OtGd+hQYHdbuniMj+Vtfq1lOO42jRL+UbejmOaFCrcMpoGkzpjQNLQ9VYeZejJGEWSAiDApBktwxEj/TSYzKe6NKdIvr2r+vl6xJRr7gwCvVRUfeY0NLQJrBcO8sZ5CTX0/LQ6m3C+eaELfdy3n4iuCc6NaJW9X2pSZhX6RyYpJ72RKXe9yaAinQmKiwJvSCGeCl5j4dKTinRgXY1H+/UiC5ma0raQK7EIK+iQDGeszS2M18SNJwn4VwarLapG0xmkvEcnb9dSFuP3bB7bpuGelOIt7pk91Tp540mMxks32c2k6nkuGW3XHn5VdwUMuI5zibhsnVb3zM2jMJ81BTgoRRD9FjKJtwzRAajmW7l6ygrXytJxlY2jI7lfgvwUNK6iSmVJiL2cRMSi/u5K8jPXSn881CI28ZNZtCprELKzCoQL7JFq/SxsG3eZCZSKZxLkOZIX1rpmLftJOrvcYKo6GTl30VUYlx3o0IrI7tgdBf+mm56kYepEdH+hRW2R55JEyk+fxc14jWkJCMpOQMpyUgqMpCCDKQiIynISArOSErL45J/SjKSnDMJf8lEipK/Hgp3khV/RdyfyyscI8kThtM6+UzSKIoF4y7HlfTenFV/U9rXwMrBo9Txo9TBQQE5+RVGEJ34psL23q/FAPqQ3iezwiCOFeRkEkKywCQ+VliVRcGZJGVWcFaLOSpvIlN7ooPLKiynMnE0LVX9j4jyq3RNK0XpQWQaQLR/aYWa6ub9aI1qNpHMRd7hqgAi2THBwaAcuAMLiU+dQgeUjxOpbpfZ22XVd5bpT4mopM+1fq30dY7zJzXtJ27/3Irvo9Rn7P50h+opQJy98X3q00T/iy/17CarjsW69OXuPCrnvR6BxD35u/05RZtxRFueJtLmVf77q4LJQKR0r/Ca0oGFRGlTiAzVXHzX5gn/7py1fU3pQTT2R2FRpKJytnyE6KN4Is3dkhctowGSxsiUbJUpc37L4hVG3OQjRPYckWRKQbfQRame1b5ETxy0fx8ljiba+yGRrrRtkBGRb8k/GyqzvCmjhXN/aLGdOfgEesD7EpGugjm4mYjySv5drUSPSMhb8PRfxNlxUKRK6iiD8V+EGdKriF6vpz/++INeeOEF8RjP89SlSxf69ddfa/GX/QNQuts1alPaFCK96xKOkEwhrODbyXZPRbcq3ZpWLcwGYeW/snKaXOvJQcZiIRZmpee3Gh4MlVF0iyBXE1eZZtFt12kaNFUrZ1WTLlUFhRuRX/3KNRVuwu9zBfoCwbvDnmaH56v0VVpt9SZXbpUYHCZ1jKI1v19x0LuMp03mdNqkT6dY7jw9Id9ID9TjifcKtTtpo9RnKF3xN5HhjgOa5aAIIPKNqHhScXAhcWnPkJ/CSGTIdY2me4CwRbaich5cSJT2DHVzPyV4G7kCpU+lbSBXdIvClFoK46syiq4i7gFEXiGVlnWk+wHXlVUdQGTvPirRHKD+k8jsIk33AGFniJ17F+2nVemrqlNPFTKePt9/odzXlu2/SBM7RNFXDtfR8vH3UNLbA+MqbBuW/XqRJnaMol/P33VpAq/bBZUnrd1z5o7LkpU1CfGi7Eo07xTq6Lfzd12m6e+hpFf6NK/03B6+kuuyc+umlFG9APdK2/obeVqX3kdeKkWVrqmPm4Ju5mspu1BP2YXO6VflmlYlQVp1+9LKxrxIm0qFGi2Z4W67KCrZCSl8xIsrJi8qrtjpQR1IpPiw0r70TeXnREYXtYFERLIAInd/+04raVOokTyLSObCttevfqXtfYb7Odf1MTIFkZtf5WNBmQtjBMvVVRvzKj2IjC4ypHuGCB689sYNmtvEeQRaGZctOBFKh9cTyVX2y9q+8nFvteupTGlfM/1ZIoLrxvcmIxHHV35NeReaXtz8qjAfvi3U48LKc2xUCbmayK9B5eWEmQiVhCaqzm1lKCbKOk50+ruKHZGiH3BdfSEi4mVEKs972zYU3yVSeVWu6co5OC8XvNOdrKMMxn8NZkivItnZ2WQymSgkRJqcJyQkhDIzy18R1Ol0pNOVGlbz813kyfBPozjPfieuuUvkFea6Qa9BS+QZXJrtvixqXyKPYCKjC43aPuFExTn2y1mcQ+Rd13XlJBIG2pq79/b8eoYQV8lgmzTZwqDcVZo+9SovZ3EOkW8D12kGNqnCNc0lCoh2nablOtnT1OYJ2yddTL7WYNfgkKMxUGqjALqaU0wKS0IimTTxkOW5XMaLCYhKk/dY3htNZ/juVKe+nGKLc4VwLhWVVXPHtfeuX8Oq3Ud+DV2n6V230skpae4KbYirNE2GqrWBJucS89rgW6/y+1dzl8gnwsVtQ1U0XXh+q2BwqIl6WlBJHc3VGKhj4yC6miMY3Sze4RwJSTw54kTjHFfiNc2VPC5NksmJIRs44qiun5pyNfZ184oNNCypHmXla0XPZeFf6ffy4mNO/G7huPX7hGPuChkFeZUmrS2Lt5ucAj1VNCgxnHQlCRQ5q5hw1t8vlIisHpcet/6cm5yvkubQ5AjS6E1iMlOQ1Bvb8tiyC8D6PaWe28J7gr1UVTq3Q5MixFAVXBlrqqQsZT5fNkweR0Jy1qpodmwcSH/fLBCvjeU68cQRxwte9pZ7SLjmpdfT8lz8DEfk66Z0yTUtfVz+8dL3c1W6pjWSIK2SMS+nuU1e7mqiQhcZ6DyDBaPJvRyTEZWMPytpe4tzXNve+0cJhqTKNP2jXNuH3+s+xrdB5eNPbR5RQCPXafIKYVHa3rjBM5Sqv421EjxDK+9PdflE8kDX6uoqmZsW3RIWKlyFZ3AVxoJ3SuuVKzAZBecGu9c0hMjB3DXlEtBImBtV2i64sL4QCUbt4GZEqwaW/3pNLFR4hd378X1Vxp+ubu/dAyrvY2qijjIY/3KYIb0Geeutt2jWrFm1/TNqHrWP3U4cniHE+USUbLWyM0CrNHh6yes+4QSTnrjkCUTW8YEtJE8QXveuS6QvIrtL3qhsObzkda86BI9g4uyV0yNY0Cy4If295RalqmWtL5y/ys6vxYBo871lZ9pWzyVFR+nOO7+GBK/QSjRDBc3iPBJjzon7/ak0Fl1VH3sGVV5Oj2DiPINLjFcWSw5f+lg8xpVzrJz3+davwjUNIi4gSvD4L7u9s0rPy7wW1FQ4d/YGvSof2+MuwFutsGtwCPJU0SdDW7lUEya9/bbBK5S40Fii7NOV1MUq1mGPYIJXZfUlmDiPYMH7gqiSuliFOhzSguAdZl/TK4S44BZEtzId1hRLyXHCoN1sIi5pnNQzx0LSOILZROQdTpR3zWXzYi64ReVtg1cIcaHxRHfPWz4l+SMGUCkJrSI8h9XWca4kLIfwPj60JSmqoKkPbUmm7MtWoWOEbyMi4iDdiF4aqxbEwUylby15T3As8V72rympXV9PvSqpo4GeKvpgSILLdfVGs13dAA8VPdetiUs1i/VGGpPSkD7accbmtTEpDckM0Lj2kfdcc3RKQ5dqVuXcTuvW9J5rfjCkpUs1iYgKtQYandKAPt5hGw5gdEoDMprM9/yaGs1mUro6QVpVxrxKLyK5m50vsRovVYZ3eBXGZGHE+UUS5ViFM+RKWzzJqpPkN1CZ/sjqsXd4peMVYVwWInjG2oyBqMxzq9crGj95hlZhzFsyFpS5aNepm2/l5fQMIU7tI2i6YqyicKt8/OkeSJxMaWUYtDOet/tayescTzBoiUseXxo/25rk8cLrcjWRwqOC7ylLJa9zHJF3HUJl/anKuxIdB1DZr6fkESKMA+0mALW+nuWU1fqaKj2rtlCh8nHd+FPpRmTQEdm5pmTQEam9BX2OL50TWf6R9XOy81rJ48BoYR5WmSNHaKxgwIeZhDpf8thc4qlu8Vi3vKfcfyWfIzNRaFzJAlM5mkQlr+UThcYTXdpPYkw5zrqd40sfi/NByzG+9BhxRDwvON14hVW+UOFbXzB+2wtPY9NulBc+iIREzpXUF3iGEedVlyj/egXfY32szIPy2l61b+X3bk3UUQbjXw4zpFeRwMBAkslklJUljbuVlZVFoaGh5X7mhRdeoKlTp4rP8/PzKSIiokZ/Z23AmfRESeOlMYktJI0XXh/2les106YITw4sKI2TljyBKG0KcbyMaPRml2qSrtBuOakGyklExFWiy5n0RA+vcr2mnYUKzmQgGrr6HmvWwH1UFc3+c12vWdn1dGVYohJMZvM9NzhwBq3dAT5n0BINmC/8cxXagkomFVqiYV+6To9IGLxXpjlgnvDPQcpOqaAvIkqZLDwpJwkccRxxozY6rFchVSlrv4+FfxXAlflbGaiCpqrfR0T9PqriN7pG02WGnBJqo47Wlq6bUk6Pd4wiIqLP918QE2KOSWlIj3eMIpXCnnHj36NZG+dWbzTZ1dQbTS5PwElE5KlW0OMdGxGREIrIcn5HpzSgxzs2IvV9ck0rH/MaiR77wbWalfRrnFFLNPQLl2oSkTDutTNGIpOeaPha12pWpQ9/2MVlrUo5R9XAnKIyzdFbXCopzJ1K5qUHpEm0KW2qMHca/7NLNYmqONZ29bjXpLd/fs1Gokl7XatZlWs6ZqtrNSu5psTLiB770bWaVSlnv89cq0kkfK9dA34A0chvXKtZlbIOWelSySrVlxFfu1SzSuWsgbkpg/FvhhnSq4hSqaTExETasWMH9e/fn4iE5Cc7duygJ598stzPqFQqUqnsx2a8L+BkRClPERHKMeg8Vclqv4OYjER/byZKGE7U/jnBM9rNR1idPfktUbM+LjdycJyMkPKU4M1YppxIeYq4mignUe2cX1GTbBcq7jvNyRVoTq7hct7D60m1Y3AgXkWU9qzw2GaA/ywRXLyFmIg4XkFImyoYactoIu1Z4pwI9Vmxpkr47go1a6CcxBN4Iq55f2FRUZNN5B5IdPcCgZcRVwMGV6LaKauZVxJvR9MMIbmTK6mNctZKHa1FXZVCRhM6RNITnRpRgdZAXmoFGc3mGtOrDc3aOLeeagVNqkBzUseoGjFoW1ArZDQ+PZKe7BRN+VoDeasVpDeaalTznt9HtdGH8wr7xrIaaI+IrMe9ZDNGqqlxr/0+fGrN9Ke1Uc5a0CydOz1C1H7aPZk7EdF/bHx/jzVr45rWRjmJhJCt9hbZjLr7o6z/lfrCYPzL4YBKY1swSlizZg2NGjWKFixYQElJSfS///2P1q5dS5mZmTax08sjPz+ffHx8KC8vj7y977MtMkYdUfYZIv+GEoMOBUYLSWZqRFNLtOcDojM/CTHn8q8TRXchSp8qJEOpEU0dIfsMcVblxN0LxNVkOUt07/35tWhGCnHY3AOEcA33q2ZAJJEmh8jdj+jOvSqnY9fTbDbTmTOCt2F0dDTxfNWNphq9keQ8LzE4uCtrcE3VqBeSOSndhZifah8h5JLCo+a8G4x6gjaXODdfcVKB4hzi1H41q2nQEGdVTuiLiKvRclrao0jBU1ztTbh7/h60R/e+rDDoiYy2miT3IE7xz7ymjtbTe15Ha1n3v0BtnNtCrYGUcpmoqTeayLMmYob/i3G4L62VMZleMG5Y9WtUnENUk/0akbSfKRmX1Xg/Uyt9eG2UszY0a2HuROTU+N7pelob4/t7qlk78+F7Xk4iYUfK3jnlO+co7qOy/lfmw7XEfW2TY9wzmCG9mnz66af03nvv0c2bNykhIYE+/vhjSk5OrtJn7/tKq9cQyeREuiIilYeQ6M6ViVzsaZYYke6p5r0sZ23pMs1/pKbZbKbz54UY1JGRkdUypNcKlrIadEQK1b09v/piIY7kvdSsjXLWVnt0D8tq0hURL1eImmajnmQqzxrVdKac/7p6ymD8x3CqjtbmuOFe9mvWuvd7Wf9lY0GnNe/l3Mlat5pl/dfW0/v9mtbW+FNXIBh2Lc45Rh2RyqtmNf9r99G9vqb3mPveJse4JzBD+j2EVVoGg8FgMBgMBoPBYDAYDAbj3sJscgxXwNyjGAwGg8FgMBgMBoPBYDAYDAaDwbADM6QzGAwGg8FgMBgMBoPBYDAYDAaDYQeWRYrBYDD+ZZjNZrp69SoREYWHh7PYywzGPxBWTxmMfzasjjIY/3xYPWUwGAzGPw1mSGcwGIx/IcXFxbX9ExgMRiWwespg/LNhdZTB+OfD6imDwWAw/kmwJV0Gg8FgMBgMBoPBYDAYDAaDwWAw7MAM6QwGg8FgMBgMBoPBYDAYDAaDwWDYgRnSGQwGg8FgMBgMBoPBYDAYDAaDwbADM6QzGAwGg8FgMBgMBoPBYDAYDAaDYQdmSGcwGAwGg8FgMBgMBoPBYDAYDAbDDvLa/gEMBoPBqD4cx9X2T2AwGJXA6imD8c+G1VEG458Pq6cMBoPB+CfBAUBt/4j/Cvn5+eTj40N5eXnk7e1d2z+HwWAwGAwGg8FgMBgMBoPBuO9hNjmGK2ChXRgMBoPBYDAYDAaDwWAwGAwGg8GwAzOkMxgMBoPBYDAYDAaDwWAwGAwGg2EHFiOdwWAw/mWYzWa6fv06ERHVqVOHeJ6tiTIY/zRYPWUw/tmwOspg/PNh9ZTBYDAY/zSYIZ3BYDD+hRQVFdX2T2AwGJXA6imD8c+G1VEG458Pq6cMBoPB+CfBlnQZDAaDwWAwGAwGg8FgMBgMBoPBsAMzpDMYDAaDwWAwGAwGg8FgMBgMBoNhB2ZIZzAYDAaDwWAwGAwGg8FgMBgMBsMOzJDOYDAYDAaDwWAwGAwGg8FgMBgMhh2YIZ3BYDAYDAaDwWAwGAwGg8FgMBgMOzBDOoPBYDAYDAaDwWAwGAwGg8FgMBh24ACgtn/Ef4X8/Hzy8fGhvLw88vb2ru2fw2AwGAwGg8FgMBgMBoPBYNz3MJscwxUwj3QGg8FgMBgMBoPBYDAYDAaDwWAw7MAM6QwGg8FgMBgMBoPBYDAYDAaDwWDYgRnSGQwGg8FgMBgMBoPBYDAYDAaDwbADM6QzGAwGg8FgMBgMBoPBYDAYDAaDYQdmSGcwGAwGg8FgMBgMBoPBYDAYDAbDDsyQzmAwGAwGg8FgMBgMBoPBYDAYDIYdmCGdwWAwGAwGg8FgMBgMBoPBYDAYDDvIa/sH/JcAQERE+fn5tfxLGAwGg8FgMBgMBoPBYDAYjP8GFlucxTbHYDgCM6TfQwoKCoiIKCIiopZ/CYPBYDAYDAaDwWAwGAwGg/HfoqCggHx8fGr7ZzD+pXBgSzH3DLPZTNevXycvLy/iOK62f06NkJ+fTxEREXTlyhXy9vZmmveBLtO8vzRrS5dp3l+ataXLNO8/XaZ5f2nWli7TvP90meb9pVlbukzz/tKsLV2mef8AgAoKCqhOnTrE8yzSNcMxmEf6PYTneQoPD6/tn3FP8Pb2vueN739Fs7Z0meb9pVlbukzz/tKsLV2mef/pMs37S7O2dJnm/afLNO8vzdrSZZr3l2Zt6TLN+wPmic5wFrYEw2AwGAwGg8FgMBgMBoPBYDAYDIYdmCGdwWAwGAwGg8FgMBgMBoPBYDAYDDswQzrDpahUKpo5cyapVCqmeZ/oMs37S7O2dJnm/aVZW7pM8/7TZZr3l2Zt6TLN+0+Xad5fmrWlyzTvL83a0mWaDAbDGpZslMFgMBgMBoPBYDAYDAaDwWAwGAw7MI90BoPBYDAYDAaDwWAwGAwGg8FgMOzADOkMBoPBYDAYDAaDwWAwGAwGg8Fg2IEZ0hkMBoPBYDAYDAaDwWAwGAwGg8GwAzOkMxgMBoPBYDAYDAaDwWAwGAwGg2EHZkhnMBgMBoPBYDAYDAaDwWAwGAwGww7MkM5gMBgMBoPBcDkAavsnMFyE5Vqya8pg/HMpLi6u7Z9w3/NfaQP/K+WsDUwmU23/BAaD4STMkM74R2I2m22O1XSHXp5mecf+7Zq1RW1cUzYIrFnu3r17zzX//PNPyszMvKeaAMhoNN5Tzf8SO3fupJ07d9b2z7hv0ev191wzOzubiIg4jrvn2v817lU/d+7cOSK6d9fUUq77dUz0T6C2+zU2RnMtX3zxBU2bNq22f8Y94163Dfv27SONRnNP+7Uff/yRfv7553u6QJKdnU2FhYWUn59/zzQt1EabcK81N2zYQGvWrCGi2unfWJ/KYLgGZkhnVMq97mDMZjPxvHBrnj17lm7cuEFarZY4jquxFVxrzUOHDtHevXspNzdXPHa/aFp0y6Mmr7N1WY8fP06ZmZlUVFREHMfVmK7ZbBYHu9euXSOtVisalGpyEFEbCwanTp2imzdv1qhGWT766CNq06YNFRQU3DPNJUuW0NChQ+nXX3+9Z7qbNm2iRx99lHr37k2ffvrpPdEkIvr1119p8eLFtGzZMjpy5Mg90dy7dy/Nnz+fVq5cSb/99ts90fz8888pIyODtm3bRkT3foB/L/VqY1K6cuVKWrZs2T01mH3xxRc0ePBgOnbs2D3TPHDgAK1Zs4a+/PJL0mg090z38uXLdOXKFTp9+vQ907x48SJdvXqVzp49S0Slhu2a7GfWrFlDLVu2pJ9//rnGNMpy/fp1IiJx7HAv6+q9Hvdu3ryZfv/993uquWHDBlq4cCHduXPnnmmeP3+eMjMzJYsy9+JcGwwGKioqqnGdsppljZ81WdYlS5bQiBEjaO7cubRjx44a07HHvfKy/fnnnyk7O5t4nr9n7cL8+fOpX79+Yrt7L1iyZAk9+OCDlJmZSVqtlohqvm1avXo1PfTQQ5SQkECTJk2iQ4cO1aiehe3bt9NLL71EDz74IP34449kNptrvKwbN26kadOm0cCBA2ndunV06tSpGtUjIlq2bBkNGjSIpk6dSrdv367xOT+R0H8vW7ZMHNfXRp/KYNyXgMGwg8lkkjw3m82SvzXJSy+9hIiICDRp0gTdu3dHdnY2AMBoNNaY5vTp0+Hn54c6deogJCQE3333nc05+DdrWn/v5s2bsWnTJvz000/isZq+rjNmzEBQUBDq16+Ppk2b4syZMzWqBwAzZ85EbGws4uLi8NJLL+HKlSsAbO9tV2D9nWfPnsXJkyddrlGWVatWwcfHB6+99hpu3rxZ43oAsGDBAqhUKqxevfqe6AHAunXr4O7ujhUrVtwzzaVLl8LPzw8TJkzAqFGjIJPJ8M0339S47pIlSxAWFobU1FQ0bNgQ/fv3x+XLl2tUc/HixfDx8UG7du0QGRmJoKAgvPbaazWqOX/+fCiVSvTt2xdBQUE4e/ZsjepZ2Ldvn6TdA2qmPbBmzZo16Nq1K/78888a1bFmwYIF4DgOW7duFY/VdBv/+eefw83NDXPnzhXbWmtqQn/JkiUICQlBcnIyOI7DyJEjXa5RHitWrEBiYiIaNWqEhg0b4osvvqhxzSVLlqBx48aoV68eQkNDMW3aNEnbUBPnd+7cueA4DjzP44MPPgBQ8/VlxYoV4DgOU6dOxXfffYfi4mLJ6zV1H69btw6bN2+uUY2yzJs3D2q1Gnv27LkneoDQ3ru7u2POnDni2NpCTZV72bJliI+PR3BwMNq1a4clS5bUiE5Zvv76azz88MOIiYnBCy+8gNzc3BrXXL16Nfr164eYmBhMnjwZW7ZsEV+ribozf/58yGQyfPjhh+jQoQNefPHFGtOyZvny5ZgwYQJWrVp1z+rLV199BY7j0KhRI9y+fRtAzZdz/vz54Hkea9eutXmtpsq9fft2+Pr6Ys2aNZLjNTkHXr58Odzd3fHpp5/irbfeQkpKCt56660a07OwePFiBAQEYMSIEejYsSOUSiWOHTtWo5rLli2Dm5sbRo4ciS5duiAiIgLdu3fHtm3bakzTUk+ff/55xMXFide2Ju/f8+fPg+d59O3bF+np6Rg/fjx+//136PV6yfvuVf1lMO4nmCGdUSU++OADDBkyBI899hh27twJwPWNrnVHsmXLFoSGhmLjxo346KOP0L59e0RERODWrVsAXDeQsNbcvXs3mjZtip07d+Lw4cMYN24c3N3dsXbtWpcOXGpDE5Ber6lTp8Lf3x8NGjRA3bp1MW3atHLf5yzWZd2xYwfq1auH77//Hps2bUKvXr0QEBCAgwcPukwPkP7+1atXIygoCKtWrcL48ePRvn179OvXDxcvXrT5fa7k+eefR8OGDeHt7Y3evXvj8OHDNTJI2bVrF6Kjo9G2bVtERUXhrbfeqnFj+sKFC6FSqcQJRU5ODq5evYqzZ8/WyATVbDajuLgYQ4cOxdtvvw1AGBjOmTMH06ZNw9KlS2vkOh45cgTh4eFYt24dAKCoqAjdu3fHd99953Ita1avXg0fHx+sWbMGRqMRmzdvRnBwcI0uOmVmZiIsLExcpDh//jw+/fRTKBQKPP744zUycVuwYIG4MHHr1i20aNFCnLDV5KTi0KFD4DgOvr6+GDFiBDZs2IDCwkLJe1xdV7du3QoPDw9ERkZiwIAB98SYvnjxYshkMmzYsAEAxEmTVqutMc2LFy8iJiYGixcvBgBkZ2fj1KlT2Lt3r+QecuX53bJlCwICAvDtt9+iuLgYv/zyC9RqNa5duyZ5n6uv6bJly6BWq/H5559j06ZNmDRpEjp16mQzOXUl33//PTw9PfHFF19g+/btWL58OTw9PdGrVy/s37+/RjQt9XTv3r14//334efnJ/afNcl7772H+Ph49OvXDwMHDkRMTAy+//57m3bQlW3F+vXrwXEcOI4T601NGxfmz58PuVyOr776qkZ1rNm7dy9CQ0NFTZ1Oh7y8POTn54vvcXUbvHr1anh4eGDFihX46aefMHDgQAwZMkTynppaZPPx8cHzzz+PmTNnguM4fPzxxy7XsebLL7+EWq3GjBkzMGvWLCQkJCA5ORkvv/yy+B5XlvXjjz+GSqUSF/lnzZoFLy+vGl18N5vNuHPnDqKiopCcnIxHH30UzZo1w5o1a/D3339L3uvKe+nw4cNITEzEU089heTkZDRp0qTGjelffPEFOI7D999/DwC4evUqfvrpJyxZsgRnz56tsTb/9ddfx2OPPQYAOHHiBCZPnozOnTvjiSeeEBf7XMnFixeRmJiIVatWicemTJmCV155BdnZ2eL829Vs2LABfn5++Oabb8R6kZiYiE2bNtVY+3v79m2kpKRg/vz54rFt27ZhyJAhiI2Nxbfffutyzblz50KpVIqLah06dEB6errLdcqjW7duGDp0KE6dOoXu3buja9euyMjIwKFDh2yuKzOoMxhVhxnSGeViPSCZOXMmAgMDMXLkSHTq1AleXl74+uuvAdRMg7t8+XLMnz9f0sEdO3YMqampLjOm3717V/L8008/xTvvvINXX31VcvyJJ56Am5sb1q1b57QxqTY0AdtrdPXqVSQlJeGvv/7CiRMnsGjRIqjVajz55JMVfsZZ5s+fjwULFmDOnDnisZycHAwcOBABAQE4dOiQS/UAwejw/PPPY+XKleKxFStWoGPHjujTp49LjenW1+mrr75CVFQUvv76a2zbtg3R0dFo164d9uzZ49LzajAYsHjxYgwfPhw5OTl49dVXERERUaPG9HPnzoHjOHECfOzYMaSnp6Np06Zwd3dHr169sHHjRpfrms1mtGvXDps2bcLp06dRr149dOnSBe3bt4dKpcKQIUNsvOqcZfv27YiPj4dGoxGPJSUloVu3bkhMTMSUKVNcfp4vXbqEDh064KOPPpIc79SpE15//XV8+OGHEu9iV3HkyBE0atTIxkC2ceNGqNVqvPDCCy7VW7p0KTiOk3j3P/LII2jWrJn4vKYG80ePHkWvXr2wa9cuTJ06Fb1790ZUVBS+/fZbnDhxQvJeV/yG27dvo2fPnpgyZQo+//xzZGRkoE+fPjVqTLcYBBcsWAAAOH36NKZOnYpOnTphyJAhkomyKzl8+DCaNGkCrVaLzMxMxMfHIy4uDhzHoUePHqJx0pU899xzGD58uPj8xo0b6NixIz7//HN89NFH+OOPP1yuuWvXLkREREiMnytXrsQjjzyCU6dO1di1ffPNN9GlSxfJsczMTERHR6NHjx44fvy4S/UWLVokMSr/8ccfiImJwSeffAKgZhe89u7di0ceeQTHjh1DQUEBJk2ahN69eyMpKQkLFizAhQsXXKp36tQpdO7cGc899xyeeeYZyGSyGh3nAoKnNMdxolHs3LlzWLhwIWbMmIGVK1e6vE+zsHr1agwYMAAA8Ndff2HgwIFo3rw5OnfuLGnrXVFus9mMu3fvomvXrvj000/F4xs2bMDo0aNx+PBhHD16VDzuyntq27ZtCA4OFhfDAWDixIn4+OOPJYsGlt/pCjQaDQYNGiTZzXX58mW8+OKLaNGiBWbMmOFSzczMTPj4+Eg8pS9cuID4+HjMmjULJpOpRg1jb7/9NhITE3H79m3MmjULvXv3RrNmzfDuu+9KrivgmvJu27YNkyZNwtGjR3H27FkkJSVJjOmuXvS/ceMGkpOT0aJFC9y5cwdXr15F69at0bRpUwQFBcHd3R3vvPOOS43MlvPUo0cPzJgxAwaDARERERg7diwee+wxDBo0CKGhoS7vxy9evIi6deti06ZN4rEOHTogISEBderUQVJSEpYtW+ZSzVu3bmHUqFH48MMPJcdbt26NYcOGISUlBXPmzLEZm7lCNzQ0VFz0t3DgwAEMHToUaWlpLnXy+uWXX8BxHNavXy8e++mnnxAeHi72MzWBpT78/PPPGDBggLhgevHiRYwYMQJubm7IyMjA0qVLbdpEBoNROcyQzrDBerBz9uxZzJ49G/v27QMgGGGnTJkCjuPEwakzg6PU1FTJNqoLFy6gSZMm4DjOpmO1GO0aNGjglAErNTUVb775pvjcbDajS5cu4DgOw4YNsynPE088AS8vLyxfvtzhQX5taAKw8bScM2cO+vfvj3HjxsFgMAAQBv7Lly+HWq3GU089JfmNjpCamoqlS5eKz3NychAfHw+O4/Dcc89Jvjs3NxeDBg1CcHCweI85wrBhw/Dzzz+Lz/ft24e4uDgEBgbabMVcuXIlOnXqhH79+uHcuXMOawJAQUGB5Pm3336Lt99+G3PnzhWP3b17F3FxcTViTL948SJ+//138fnLL78sGtNv3LghHrfcQ85q5+fn491334Varcazzz6L2NhYPP744/j++++xbt06PPzww4iPj8evv/7qlI41RqMRhYWFaNmyJd5991288847mDx5snj/Hj58GB4eHpg+fbrLNAFgz5494DgOixYtwpUrV9C3b180aNAA7777Lj777DN4enqK3kKu4vbt29i8ebPEoN2/f38EBASgb9++6NmzJ3x8fFweUiczMxM8z5fr5bRixQqo1WqXGkHXrl0reuVYruPp06dRp04dm0WEmqBXr1545JFHAAj185133kGHDh3QqFEjzJkzB6dOnXKp3tq1a0VvtnXr1tk1prvCkHTgwAGxvd2xYwciIiLw8MMPY/To0Rg5ciR4nrfpX13BX3/9hZYtW+L06dNISkrCtGnTcOzYMRw7dgydO3dGRkaGy7Zrm81mmEwmPPjgg+jWrZvYFg8YMACBgYHo378/6tWrh7S0NHEXnav47bff8OKLLyIrK0s81q1bN9SpUwfR0dHw8fHBlClTXKZnabeff/55tGvXTjym0+kACPU3ODgYY8aMcZnejRs30Lt3b4lRBRDOb0JCgkt0KuOBBx7Aww8/LD7/888/oVKp4OXlhYyMDDz22GM4evSo2IY4w/Hjx/Hcc8/h0KFD0Gg0ePbZZyXGdFcvGhQWFmLYsGGIjIzE1q1bcfbsWcTExCA5ORmJiYmQy+UYPHiwjTHSFTz33HPIyMiAXq9HkyZN8NRTT2H+/PmYMWMGGjVqhEcffdSlelqtFrGxsZg5c6Z4rGvXrqhfvz4CAwMRExMjWQxzFrPZDI1Gg//7v//DW2+9JfEYTklJQVJSEurWrYsRI0a4fOHfbDYjKSkJEyZMkBy/desWXnnlFbRu3Rqff/65y/Ryc3Nx6dIlUdvCI488gri4OMnvciWW7ztz5gz69u2LAwcOAACKi4uxatUqcByHVq1aYdiwYfj7779duihk3YdkZmaiTZs2aNKkicSYrdPpxPbRWdavX4/evXsjNTUVQUFBeP7558Xf8Prrr8Pb2xtffvklANee53fffRc9e/bEiy++iBEjRojhrS5evIgpU6YgNTXVZueVM5w7dw5paWl46KGHsGLFCjzwwAOIiorC7t27sWnTJsyYMQPR0dE4fPiwyzQBwcicmZkpPu/evTvCw8Px+uuv45lnnkGDBg0wffp0p8+tdWjavLw8caGibNiwn3/+GYmJieJimDO6ls9eunQJR44ckRy7fv06WrZsifHjxzutUxmXLl1C8+bNxXGf2WxG69atkZqaihkzZsDd3R1NmzZ1+UIJg3G/wwzpDBFrQy8gGAU5jkNkZKRk4HLr1i1MmTIFPM87tZKq0Wjw8ccfS7aa63Q6fPfdd0hOTkazZs1sOrgTJ06gSZMm6N+/v8O6v/zyi6hpMTRrtVqMGjUKPj4+2L17t81nhg8fjs6dO/+rNEeOHImBAwcCEDrNwsJCzJw5E/7+/mjfvr3kvRqNBitWrICHhwdGjBjhsCYgGI3Khg84deoUevXqhfDwcJtBf25uLjp16oQePXo4pHfq1Cm8/PLLksmSyWTCe++9h8jISEl8fQtffPEFYmJi8PzzzzukCQCDBg0SPRJNJhNycnLEbeGW+JQW7t69i/j4eKSlpdnEZnYF1gOwV155BREREXj77bdx69Yt5Ofn4/nnn3fZgFur1eL9998Hz/N49NFHJef9999/R5MmTfDZZ585rVN2W/Jnn32GqKgoNGvWTPSItBhQ5s2bh+joaNy+fdspg4e1pkajwUsvvQSO48QwRNYx7zds2ACVSuUSo+vevXvF82i9ODN37lw0bNhQ1L179y4GDx6MQYMGQavVumzgrdfrMXLkSGRkZNgYd/Py8tC3b18888wzAGpusJ+Xl4c+ffo41bZXhsU75/Tp0+jUqRN27NghvlanTh2kpqYiPDwc6enp6NChg9MeOhWdK2tjumVSmpWV5ZKQGRbNvXv3QiaTgeM4vPzyyygqKgIg3F9vvPEGAgMDXW6ku3btGvz8/DBlyhQMHjwY58+fF1+7fv06wsLCxPBMruKnn34Cz/NISkpCcnIy6tWrJ+pqNBo0b94cTzzxhEu0rl69KtbTnJwc8fgTTzyBxo0b4+DBgzh79iy+/fZbyOVyl3vg//zzz+A4Toyrajabxd+zc+dOKJVKyT3tLHfu3BEfW9rV48ePIzg4GIsWLXKZTlksZfr999+RkpIitrHx8fHo3bs3/vjjD8ydOxf169dHnz59XKZr3f7n5ubaGNMBYfzmKqPgqVOnMG7cOMTHx8PHxwfTpk0TnUQOHTqE4OBgl9271vz4449ISUnBrFmzMHDgQOTl5QEQ6svSpUsRHx/vUm/MvLw8DB8+HOnp6Zg4cSI6deqEyMhIHDlyBH///TfWrFmD6Ohol+UYsNw/ly5dkhjoevfujYiICHz++edYt24dkpKS0KtXLxuHk+piaXNNJhP0ej2efvpp9O3bF9evX5e878qVK+jdu7e4G8AZKmq7LfX0woUL8PPzq7GFaeu+rX///ujVq5f4vE2bNkhPT8eXX36JxMRE+Pn5ScLaOKtXllOnTonG9Dt37qCwsBBjx47Fjz/+6LBe2Xvim2++QXp6OiZMmGAzLhg8eDBat27ttPf/iRMnxPkRAGzatAktWrRATEwMnn76acl7t27dCl9fX6c9tctqrlixAgMGDMCjjz6Khg0bSsaD+/fvR1BQEH744QenNAEhR5f1rnMLhw8fxpAhQyRjB8uueGfb3bLXZtasWfD29i43XOMLL7yAiIgIcdzkKGXbgLK/ZeXKlVAqleJClKsxmUxim7BkyRK0bdsWJ0+eREJCAtq3by/ulD9x4gRmz55do/H3GYz7EWZIZwAQvC/btm0r8ew5cuQIxo0bB6VSie3btwMobfxv376N5557DhzHucTba/bs2eLETK/XY8eOHYiLi0NSUpIktAIgxO91tLG37khnz56NESNGiJ67BoMB/fv3r9A72lEDXW1oAoJ3gcUjw/L32rVreO+99yCTyTB79mzJ+4uLizFv3jx07NjRJd5Xs2fPxv/93/+Jz8+ePYvU1FRERkaKgwvLuSksLHSJ5rx588TtjmazGXPmzEFycjLGjx9vMwj7/vvvnRo0vPHGG+J5tQy2Ll26hPr16yMxMdFmgHv37l2EhISI3geOsGfPHsybNw8rVqyw8fq2Lssrr7yCevXq4f/+7/+QmJiI2NhYh8u6Zs0am2RHBQUF+Oabb8S4vNb3eHx8vGT7siOsXLkSnTt3luwyOH78OB588EHIZDK88847Et3PP/8c6enpTnkglacJADdv3sS3335rE1Jhw4YNaNWqlcQr1VFdS1K98rA2ZgHCApm1l6Yj7N69G0uWLMHbb78tnrNNmzYhJSUFo0aNspmkjx49WlyUc5RPPvkE7777rt33/PDDD+A4Tuxvaors7Gx06tQJ77//PgAgLi4OqampAIQ2ct68eRgyZIjDdebChQu4cuWKTTxn60WntWvXIiMjA/369cNPP/2ExMREJCcnA3BsseLo0aNick/L5w8cOIBevXrhr7/+krx3z5498PT0xN69e6utY826devEa2rRnDdvHhQKBVQqlbgAbzmPQ4YMqfA+d0bz0KFD2LZtG0aNGiWGprAs5o4fPx6DBg1yun9ZuXIlkpOTRQOL9TVatWoVrl69Kj6/ffs2IiMjxdA6jnL58mUcPXoUd+7cEe+dyZMnIyIiQtzJZzHe3LhxA5GRkTZtdXXZuXOnzf1izZ07d9CxY0dxR4cruHz5Mi5dumSz0zArKwsdO3bEK6+8gpYtWyI9PV2y08qyK8FR9Hq9zfjS+vvy8/Px3HPPged5rF+/HjqdDt26dXPqupZd0D59+jRGjhyJ8ePHix61lntr7ty58Pb2RlZWllMGuv379+PgwYNiPTxz5gwSEhIQHByMrl27St577tw5+Pr6Op1Ue//+/Thw4IA4pzh27BhefPFFzJw5E61atZIYOa9du4aGDRtKQr84yoYNGzBhwgQbJ5wrV67glVdekYQE2rFjBziOczoUU0FBgWSHyK5du6BSqfDSSy/ZjEl+/PFH8DwvMfBXl/nz56NBgwZ2k3Pn5+fjwQcfxIABA2A0Gl2yAF7Wy9vy+NSpU0hKSsI333yD+Ph4pKenSxYaV69e7XBf+s033+C5557DgAEDsHbtWonjgnVdPXXqFJKTk9G4cWNxx4GjO1VWrlyJnj172uye2rVrlyQXhaVMEyZMwKBBgxzSsrB48WJER0dj48aN4sIWANGZo1WrVpLxhCWsjbVzhzOa1tdLp9Ph/PnzqFevnuhFDQie8PHx8U4v1i5evBgcx4ltj/W9qdfrxbpruX4LFy5ERkaGTZ2uDps3b8b48eMxZswYyeLSww8/jKCgIOzYsUMyPvviiy+Qnp5u0z9Uh4ULFyI1NdXuAsCFCxfQqlUrcbeOs+OU7du3Y/r06XjsscfE8Z3lPs3MzESXLl3g5eWFHj16iPPwsprMmM5gVB1mSGcAEDoyS2dmnWTj5MmTGDp0KLy9vW28pm/evImPP/7Y6W21er0ekydPBsdxokeKXq/HTz/9hJYtW6Jt27bldqDONvaWOLJPPfWUxLDdr18/hISElBuewtlOrjY0Fy5ciDp16oiJILOysvDWW2/B29vbZheC9SDZWd0PPvgAHMeJRk9AGPylpKQgKirKxpjurObNmzcxcOBAREdHi3HozGYz3nnnHbRr1w7jx4+3MUoC1b+Pyv7GTz75BO+9955oUL1w4QICAwPxwAMP2Hgr5+fnO3zfLl68GD4+PmjXrh0iIyMRFBQkicMJSMsybdo0cQBuGSBW5/yazWZkZmaKXvbWseYBlDvAzMrKQtu2bW3eWx2WLVsGlUqFpUuX2sSd/OGHH5CamgqO47B8+XLRO7B///4YOnSow5NFe5qA4PVq8aADhIWf/v37o3///k5NUOfNmwe5XI62bduia9euYpxPoPz7Mi8vD926dbNZBKsOixcvRnBwMNq3bw8PDw+kpKSIry1ZsgRt2rTBwIED8csvvwAo3THy7LPPOqy5cOFCiSdteZjNZhQUFKBHjx4YNWqUS7Zl//bbb1i5ciXWr19vkwj3u+++g5+fH0JCQpCeni657tb1pLr1dcmSJWjcuDHq1auH0NBQTJs2TeLpat1frl+/Hh07dgTHcWjZsqXDZd68ebO4GGPpVyz3pXVuDku5Dh06hDZt2jjlzbZ48WJ4e3vj1VdflSwm3bhxAzNmzADP83juuedE7z2DwYCUlBRJf+CMpsXoal3/Bg4cKInxbDAYkJ6e7nSMf8v9y3GcpO6VrfvW27jbtm3rVGLiZcuWITY2FiEhIWjatKloOD98+DCGDx+OqKgoSdiVoqIiNG/e3ClD+ty5c8FxXKVx5b/55hvI5XKXeL+vWLECrVu3RlBQEHr37i3mgLCcyw0bNoDjOLRr106yW8eZOgoIxr1+/fohJiYGkydPFkNNAdI6atnRpVQqERUVhfDwcIeTC65atQoNGzbE8uXLJccvX74s8Ui0lH3OnDlo3769U33M4sWLERAQgOXLl0sMOjt37oRCoYC7u7skvElubi5SU1OdurbWmtZ9mmUHRVxcnCRWcG5uLtq2bWtzXqrLggULwHEc6tSpI471rM+d5bpa7p3vvvsOKSkpksWZ6rJ27Vr06tULaWlpePTRR8VzvGLFCshkMrz66quSNnjfvn2Ij48XFz2ry/z588FxXLm7gcveJ9u2bQPP82JYMWfYsGEDBg8ejIyMDEleJ0sM/MGDB4PjOPTv319sm8vWy+rW02XLlsHNzQ0jR45Ely5dEBERge7du0vCgVq3A/v27QPHcUhJSRHraHU1NRoN4uLi0LhxYwwaNKjSXVsajQZdu3bFSy+9VC0da9asWQN3d3csXbq03DH6c889J+YC2rJlC44ePYoePXo45fRUmebZs2cRGxuL1atX4/Lly7h79y569eqF9u3bOzVPW7BgAZRKJaZMmQK1Wl1uO2N9H2u1WvTq1Qvjxo1zWNOScPixxx5D9+7dER8fLzprGAwGDBw4EF5eXvjkk09w6NAh3Lx5ExkZGejbt6/Dba+lLbLelVbRd02dOhV169Z1egfkggULEBgYiH79+iEtLQ1eXl6ShRAAmDFjBpRKpUtDAjEY/2WYIZ0h4fTp0+A4TuJt9Pfff2PEiBHw9/fHrl27ANh2CNUxppfXmeTm5uL//u//wPO8aISzGNNbt26NyMhIpwwrFXVgW7ZsAc/zePzxxyWG7QcffBAcxzkVz7U2NMvjr7/+QosWLRAfHy96Oty8eRNvv/02fH19y91qX93Bg/X7rR/Pnz8fPM/jrbfeEo+dPXsW6enp8PDwcGqrXnm/8ffff8djjz2GZs2aibHRzWYz3n33XaSlpWHw4MESbw9XMHLkSNSrVw9z584VjXHnz59HQEAAunXrhtOnT9t8prqD+8zMTISFhWHFihXi93/66adQKBR4/PHHxe+zLIjduXMH6enpSEpKEuumIwteGo0G3bp1wxNPPAGe5yuM7Wk0GnHz5k306dMH7dq1c3ixwJIId8mSJQCE+/T333/H+vXrxd9/5MgRPProo5DJZGjYsCGaNWuGli1bihOn6t67FWlu3LgRWq0WJpMJly5dQvfu3dG0aVP07dsXqampSEhIcGiBwsKCBQsgl8vx008/4e+//wbHcWKczbIYjUYxZnHr1q0dXrz87rvvEBAQgG3btiE/Px8nTpxAaGioxNNp/fr16Nu3L9RqNRITExETE4PY2FiHjUcLFiyAQqEQ66PBYLD5Luv7xbIA56ihwcKSJUsQEhKC1q1bg+M4TJo0CYC0jvTo0QNpaWk2iaAd5fvvv4enpye++OILbN++HcuXL4enpyd69eol8WSz3C/5+flo2LAhkpOTnaqnFs9VlUqFSZMm2Xj2Wt+fxcXF6NmzJ3r06OHwhHjv3r0IDg4WF76NRqPEyJmTk4OXX34ZHMehW7duGDZsGDIyMhAXF+fwvVueZmFhocQJwGIIfu+997B8+XL07t0bCQkJTi32L1iwADKZDKtWrcKzzz6Lrl272u1DNBoNevXqhY4dOzrcDn711Vfw8vLCokWLcPToUXTq1AkdOnQQX//zzz/FNnDixIl4+eWX0aVLF6d2Hi1cuBBKpbJCQ7x1H3Pnzh1069YN48ePd8pLcP78+VCpVFiwYIHoAVg2Pvf169fRs2dPcdHYFTvXvvzyS6jVasyYMQOzZs1CQkICkpOTJeEnrO+ZM2fOwNfXF2lpaQ7XU7PZjOHDhyM6OhrdunWr1GhsMSA5s4Pt22+/hbe3t03IFMtv/+GHHxAcHIykpCS89NJL2Lx5M7p27YrWrVs7fB9VpGm5bnfv3kVqaiqefPJJ7N+/H2fOnEHv3r3Rpk0bp5xjLP3M559/jnr16tmE1wOkYwOdToe+ffti8ODBDhvLli5dCk9PT7z55pt46qmnkJycLIadA0oX4EaNGoVly5bhjz/+QLdu3ZCenu7QfbxixQpwHCcu0GVlZeH48eP47rvvJKHeLLtUDAYDWrdu7XS+hvnz58Pb2xuTJ0/GxIkT4enpKckDBAhjC5VK5dTioTW3b99GSkqKJPzHtm3bMGTIEMTGxkocvgBhDmkJCepMX6rX65GWlibm3hgwYIAYfs36PikqKsLp06fRq1cvxMfHO6RlMplQVFSEvn37inOkS5cuYf78+XjnnXck8arfe+89dO3aFRzHITExEampqQ6NPyvTtK6348ePR2BgICIjI5GYmIikpCSnxrwWxxGLcblr164YPnx4ueFTLOe3d+/eknFDdevqoUOHULduXbFfu3btGmJjY20M+JMnT0ZCQgLc3NwQHx8vcUCqruaSJUsgl8vFezQ3Nxc5OTk2O0gsZbp+/Tr8/PwkbUd1WbhwIeRyOdavXw+z2Yzz588jISEBu3btktyb169fR+vWrW3qL4PBcAxmSGdIMBqN2LhxI/z8/DBq1Cjx+MmTJzFy5EgEBQU55d1QdkJv3YHm5eWJnmzWxvQtW7Zg9OjRDg+yrTWzsrIk8eAAYeBf1rCt1+sxY8aMf5VmWV3rY8ePH0d8fDxiYmIkxvR33nmnXG9jRzXz8vJsjOOfffaZjTE9MzMTEyZMcMn5LWuUO3jwIMaMGWNjTH/55ZcxYcIEpybiFQ2onnjiCURGRuLTTz+VGNNDQkLQqlUrm3jf1eXIkSNo1KiRTQzljRs3Qq1W23hcLlu2DBEREeK5cdSQpNVq0bp1a2zevBmzZs2SeEKtWLEChYWF0Ov1WLJkCbp06SIZfDpybTMzM9GwYUPcvHkTJ0+eRFxcHGJiYuDm5oYmTZqIHphGoxF//vknVq1ahc2bN4tajpTTnmazZs1Eb70DBw7gtddew/Dhw/H66687NVn74osvwHGcZPv8qFGj0L59exuPeL1ej+XLl6NXr16SiYwj53f27NmSMBfZ2dlITk7Ghx9+iGeeeUYM6XDr1i1s374db7/9NpYsWeJwWXft2iVZIDhx4gQmTJiA5ORkDBw4EHPmzJGU0/KbHn30Uafawfnz50Mul2Pt2rUwGAyix3bZ+vPWW28hMDBQbBOdNdK9+eabNiGAMjMzER0djR49euD48ePi8aKiInTv3h3R0dEO11NLe7Rr1y7MmDED+/fvB8/zmDhxorjwbPHMLC4uxqZNm9C+fXvEx8c7NSFevXo1hgwZAkAI2dCnTx/Ex8cjMTERc+bMERcmdu7cibFjx2LkyJGYNm2aWD5HPYjL02zTpg3ee+89ZGdnQ6/XY+bMmfD09ERycjIGDx7sVH358MMPoVQqxXq6Y8cO8DxfbuxzrVaLzZs3IyP1HOC4AABxLklEQVQjw+HzazabkZOTg86dO4thhwDB4Dlx4kT8/vvvuHbtmvjdq1atQlpaGnr16oVRo0Y5XNYlS5aA53nR2HDx4kWsXLkSb775psSYY31/Pv744zb3enVYtGgRVCqVxBt63rx56NevH3777TeJoePFF19EeHi4SxbBNRoNBg0aJNnNdfnyZbz44oto0aKFJCyZZZdMRkYGoqKinGrzAeDpp59Gjx49MGLECKSkpJS7MF1YWIhdu3ahd+/eiImJcciAZHnvE088Iea2OHPmDF566SWxLlp2BO7btw+TJk1CvXr1kJKSgt69ezt0H1WmOX36dHGB79tvv0VYWBiCg4PRokULdOjQwal6Om/ePMhkMtHLfcqUKWjXrp0k3JKFwsJC7N69G3379pWc3+q2g6dOnUKzZs0khsd+/fph7ty5MJlM4gLT1q1b0bVrV4SGhiIuLk5S1uponj17FpGRkWKy4StXriA1NRVRUVFwc3NDdHQ01q5da7NT8JtvvnGqL128eDHkcrnYBmo0GvTr1w+LFi0S23lLOR588EFMnjzZJbvJbt26hdDQUCxevFhy/MCBAxg6dCjS0tIkcfx37tyJ4cOHOzXmtdzDL774IjZs2ICtW7ciPT0dQ4YMwZEjRzB9+nSxDdqyZQtiY2ORnp7u1L2r1WrRsmVLHDx4EBcuXEC9evXwwAMPoHnz5ggLC5PkjMnJycHx48dx7tw58Zw7Us7qaK5atQpz587FihUrnBpnf/PNN1AqlZK+86233kJwcLA4P7KuD9u3b0dSUhI6d+7s1PldvXo1EhISJPdkamoqBg0ahAEDBkhiz588eRK7d+/Gnj17HC7rH3/8AU9PTzH84rlz59CjRw80adJEzEFWdsdXUVER3nvvPafCH3Ech6VLl0qON2nSBH369EHjxo3x/PPP46+//oLJZMKQIUOcDoXJYDAEmCH9P0xFgzidTodNmzbBy8tLYkz/+++/0adPH4eTQlrrffDBB3jggQeQmpqKp556SjxeWFiIGTNmQCaTSTzPLDgThmPWrFlo1aoVgoOD0a1bN+zcuVMc7H777beQyWR48sknbQbf/wbNsronTpxAZmamaDgym804ceKEjTH92rVrWLlypcMTQ2vNt956C6mpqWjcuDEeeughXL58WXz9s88+g0wmK9f73ZnzO3fuXAwZMgTDhg2TxF+2GNObN28u2QJr7bFTXaw/o9FobEJFTJo0ycaYfubMGfTs2dNpA11mZiZ4nsfmzZttXluxYgXUarWNcceZgTZQel0ee+wx/PDDDzCbzXjrrbfAcRwCAwMxcuRIcdL2888/48MPP3Ta0HD06FFx23OPHj0wffp0ZGZmiokoGzVqVGE4CkcHoZVpRkVF4e+//3aZpk6nw+LFi8UFScs9uWzZMgQFBeHQoUMApPebJTa+MxMZABg7dixatGghTkwefPBBhIaGYtiwYYiJiUF4eLi466gs1S2r2WzGgQMH0LBhQ/Tu3RuHDx9GdHQ0Bg0ahGnTpmHQoEFISEjAk08+WeF3OHJ+v/zyS3Achz179ojH7t69i9atW2PWrFmYNm2axDiYmJgo2dXhCJZr+Pzzz4uGDuuYuZmZmQgODsaYMWMkn9u8ebPTi12AYGRp1KgRAGFHAc/zmDRpEuLj40Uv23PnzuHdd9/FiBEjnK6ns2bNQqdOnXD16lU0atQIEyZMwMqVKzF27FgkJSVhypQp4jblsm1fTWlOnTpV7FuvXbuGu3fvitfFEc3c3FzEx8eLCaUt98fQoUPxwAMP2OxiuHjxIj766CM89thjTp3fgoICtG7dGh9++KF4rGvXrqLhMTY2Fo8//rgY07ZsYm9HNHv27AmO43Du3Dmxnnbo0AENGjRA/fr10bZt23K/33Jtq+uxd+bMGXAch7Fjx0qOd+rUSQyJ5O3tLRp0DAYDAgICbELROYLZbEZSUhImTJggOX7r1i288soraN26tcTAffr0abz44osuMdDNnz8fs2fPxpUrVzBkyBB06NABy5YtQ/fu3cVYx8ePH0daWhoyMjIcNiBZ9Dp16oTly5cjPz8foaGhGD58OHr06IG2bdsiODhYjBeu0+lQUFCA3Nxch+tMdTWPHTuG77//Hjt37nRqrLJr1y74+PhIxj+7d++GSqWSOFJYOHnyJB544AH06NHDKQPdr7/+irCwMEms8w4dOqBt27Zo2bIl2rVrJ5Y1OzsbV69exdmzZ50q67vvvovOnTujb9++qFOnDp577jns3r0bt27dwoMPPoh69erht99+K/f7HSnj999/bxPOCgBatmyJmJgYBAYGIjU1VRxjv/vuu3B3d7dxHHIES5i3GTNm2Ox6+fnnn5GYmGgT2tCZ9t6a2bNni3PfDRs2oGPHjvDx8UFUVJTkfVu2bHF6TGY2mxETE4O3334bTz31FJ588knodDrcvXsX27dvR1BQUIVh9ZzJ21WZZkW5TBwdJ/32229ieFjLd+h0OsTExFQYtsU6j5Wj53fr1q0IDw/HvHnzRE/88PBwvP766/i///s/+Pv7Y/To0eV+1pGyXrp0CWPGjEFGRgamTp2KBg0aYPLkyVixYgW2bt2KevXqoXv37qIDnbPhjwAhGWv9+vXx+uuvi+OuAQMGiMdeeOEF8DwvRhrYsWMHOnTo4JLdXQzGfx1mSP+PYt2Arl27Fh988AFee+01yeTXYky37mQuXrzodOP7wgsvICwsDG+88QZWrlwJlUqFESNGiMbHwsJCvPjii+A4ziWx/QAh+aIlNMa5c+cQHR2N1NRUrF27VhykWbwWrT3B/i2a1hOFmTNnokmTJmjUqBECAwMlXq8nTpxAQkIC4uPjJcllAOcGny+99BLCwsLwySefYN++fQgICEDv3r1x6NAhSRI6juPE8CTOMn36dISGhmLGjBl49tln0aBBA8k26IMHD2Ls2LEICAiQJJB0ZBuv9T3/5ptvomfPnqhbty5mz54tiW06adIkREVF4bPPPrOJu+nMoNdoNGLkyJHIyMiwSYyVl5eHvn37il5g1jquSDA1ffp00Wvj7t27CA0NBc/z+Pjjj8t9vzMGSb1ejwYNGqBXr17o06ePuKXWQvPmzZ3a6u6opmWg74rzCUjrmvV3pqamomfPnuW+ZsGZ83vy5EkEBQWhQYMGSEpKQnh4uGTS27ZtW4m+o1j/7iNHjiA6Ohocx2H69Oni4otGo8Hrr7+O2NjYChcqqktubi5GjBgBmUwmiW3ar18/BAQEYMSIEYiNjUVQUBDee+89AMCwYcMwcuRIl+jv3LlTEgveEhPY8ppSqSw3Jqgzba/RaEROTg7i4+NFj/dNmzaB53mEhYVJkpHduXPHJcaGr776Cu3atcOKFSswbNgwiaFj9uzZiImJKdfLzBkq02zRokW54YCcqbOWcDVlw5UFBASIBrSyO7IsOFpPjUYjMjIyEBsbiylTpqBz586IiorCgQMHcPPmTXzwwQeIj4/HTz/9ZKPjTFkzMjLg6+uLhg0bYvr06cjKykJBQQH27duHyMhIcTdAWRy9vrNmzYJarRZDnAwcOBBNmjTBkSNHcPz4cSxduhQymQzvvvsuzGYzFixY4HReHEtf+vTTT6Nv376iV7aFK1euoHfv3hgwYEC5n3fWQLd7924xRM+ZM2fw8MMPw8fHB2FhYZKddZmZmU4vhAPAiBEj8OCDD+LFF1/EY489Jt4f586dQ9euXZGenl5uWAVn7qOqaFoS9lrj6H1UUFAg9tmWkCYAMGbMGCQnJ5cbPtBZgzYgXKO4uDiMHj0af/75J3r06IEGDRrg66+/xooVK9C9e3c0adLEZpxt+Z1V5c6dOzh//rz4/MMPP0SLFi0wadIkG+/zFi1auDQJ8LZt29C8eXOMGjVKHHcOHDgQUVFRWLlyJbZs2YIWLVqgadOmyM/PR15eHkaOHOmSRWkAeOONN+Dt7V1uuJgXXngBERERKCoqctm4zDpPmHUS3nr16iEgIAC9evUqN7mnsztrX375ZfTp0wfJyclYt26d5PWZM2ciIyOj3DpT05qWJLo1gaUtfuGFF9CyZUtJzpOyms7cT5cuXRJD1HTv3h2BgYGSazh37lxERUXZ7FasLsXFxaL9xKJZp04dPPnkk5K2/cyZM1AoFFi0aJFTeoC0HXn55ZfRqlUrvPbaa+jZsycSEhIkiZU//PBDcBwnlt0ZpzIGg1EKM6T/B7HupKZPn46IiAh07NgRSUlJqF+/vrjtyGw249tvv4Wvry/69esn+Q5HG9+NGzeiSZMmYjbp7777Dm5ubnB3d8cDDzwgGtPz8/Mxb948p1b5LezZs0eSafyXX36Bu7s7GjVqhMaNG2P9+vXipHzv3r3/Ks2yzJw5EyEhIfjuu+9w8+ZNDBo0CGq1GgsWLBDfc/LkSYSFhblswP3999+jRYsWYnLCXbt2wd3dHf7+/mjZsiV+//138X7ZsGGDS8q6cuVKNG7cWPS+WbduHdzc3ODp6YnBgweL79u7dy/efPNNl2Uhf/HFFxEcHIxPP/0UixYtQmRkJAYNGiQaNQBha7OHh4fopePMQNT6d2/duhUpKSkYNWqUTQKk0aNHY+DAgQ7rlIfld3/44Yd4/PHHAQDx8fFIS0vDtGnToFAo8Nlnn7lMz3KPrFu3DvXq1YNKpRINgxbP3nHjxom/5d+qae93zJ8/H02aNBEnrTUxicnKysLPP/+MZ599FtOmTQMAcZI2ffp09OvXz6nB9c6dOzF79mzMmjVLNKYeOnQIzz//vJj4yPL9lmS2lsRPruDo0aMYNmwYgoODcfz4cYwcORItWrQQDZ9ZWVno2LGjmGT17t27kvjP1cXaK9dsNuPpp59GRESEmBDNYty5ceMGIiMjnUoGaY8BAwZg9+7dMJvNosegTCbD5MmTbXY8OXtfaTQaREVFged5pKSkSLYIFxUVwcvLS/TkdhW1oWmN9TlLSEjAoEGDqvTe6mC5l4qLizFmzBi8/vrraNq0qSQesEajQUhIiLgQ5CjHjh3Dzp07JbucevXqhU6dOkm8+QHgtddeQ0xMjMtzmrz66quQyWSIiYlBQkKCxJhx5coVNGrUCP/3f/8n+Ywr+vK9e/dCpVLhpZdestne/uOPP4LneYmnsas4evQoGjduLD6Pjo5GSEgI2rZti9WrV9u839F22PK5lStXonPnzmjVqpUktB4ghBdr3LhxueFP/m2a5bFq1SrUqVNHdHSoKOyho+h0OsyZMwdt2rTBkCFDUKdOHcm4bMeOHQgNDRXHqI6wdu1a9OnTB5GRkRJj8ldffYVff/1VfG4ZU/fp0wcTJ050WA8Q6qn1efn222+RlJSEESNGoEOHDkhISJAsvv/xxx/gOM5mt2R166l1SDvrzw4dOhRBQUHYsWOHxCBpyalQXtJ7Z7ly5QoeeOAB3Lx5E7GxsejYsSPmz5+Prl27on379jh37pxL9X777Te0aNECHMdJdtYCwm7eDh06OJWL4p+iWR7nz5+HWq3GBx98UGMad+/exdWrV7FkyRJ06tRJ8tqqVavQsmVLSVLk6rJx40aMHTsWbdq0Ee+NK1eu4J133pGEcbGMBVu0aFHu7mxnmTFjBurXry/Z2WqpM19++SViY2OdDjPKYDCkMEP6f5hPPvkEderUERv69evXg+M41KtXT0yMZjabsWbNGnTp0sXpcBiAEPfMsmV527Zt8PPzw8KFC3Hw4EGo1Wo88sgjNp681TW8lg3Bcfr0aXH196effkJgYKC4dbdevXpITU3FsmXLJBOqf4MmIJ2c/vnnn+jYsaM44N60aRP8/PzQs2dP8DyPhQsXiu+9cOGCS+KTA8JA+tNPPwUgGNUDAgKwfPly3LlzBwEBAejZsyf27dsn+a3OnF8A+Pzzz/HKK68AEAb6fn5++N///icmhivPa9nZCfiWLVsQHR0tTox+++038DyPRo0aoVevXpKQGO+//77DemvWrMGYMWPE82U9eVi6dCnatGmDgQMHigsXubm56NSpU4XbP53l+PHj6Nq1K8LDw5GWlobs7GwUFxdjypQpSE1NdbmxNysrC6+++irUajUeeugh6PV68Vx27NjRxrDyb9Ws6HeEhIRg+vTpNfL91vVo5MiREi9Ts9mMTp06SUJtVZelS5eifv36eOqpp7Bs2TLx3jAajZKJsuX477//jjZt2pTr5eUMx44dw+DBg6FQKBAeHi6Gv7Bc0xdeeAGpqakSL6/q9m+7du0SwztZf/avv/7C8OHDERUVJcb0BwRjb/PmzV1uSLdojx8/HtOmTUPbtm2Rnp4OQOhvOY6TxKJ3Fss5PHToEJo2bYo6deqIW7YBIfdGcnKyuFj+b9UsD8u5fv/99xEXF2fj3eUKrPtGnU6Htm3bYt++feKxW7duoW3btk4tGqxatQpJSUkYMmSIJCQXAImBzlLeOXPmuMSwUlhYaDO+s+RpsYRtsWjm5uaidevW4mKto+f43LlzYj21NhKuXLkSMpkMr776qiRMz759+8RQXzXBwIEDcfz4ccTFxaFz587YtWsXRowYgSZNmrgsUaOFgoICDBw4EBzHoU+fPpJ2au/evUhMTHR5OWtDsyJat26N3r17u/x7rfs1jUaDPXv2oGHDhsjKyhLfc+jQITRv3lxcPK4uS5YsQUBAAJYuXVqldi0/Px8dOnRw2Y5aa9avX4+WLVvC399fjENvYf/+/WjatKlkZ2Z1+eKLL5CRkYEffvhBPGYddmfw4MHw8vLCJ598gkOHDuHmzZvIyMhA3759a8TZ4Pr164iIiIC3tzc6duwoth+LFy/GU089VSNevDt37kS9evUQGRkpJr7Pzs5Gnz59bBIw/5s1rbGcxylTpiAlJQXXrl2rUb2tW7eiQ4cOOHXqFABhrt6nTx889NBDDt9HS5YsQVhYGD7++GObBMvl7SK4ceMG2rRp49Q4MDMzE1u2bMHUqVPx+eefS8IYzpw5E3FxcXjllVfEvtZkMqFXr17o169fje0wYDD+qzBD+n8I685fp9PhmWeewapVqwAIRldvb2988skn6NGjB+rXry8aDK0b3uomzrLw1FNPYfbs2TAajbh06RLy8vLQrl07MfbetWvX0KhRI3Ach8mTJztcRmvNxx57DCNHjkRBQQGysrKg1+vRu3dvvPDCC+LKcEZGBjw9PSuM0fZP1Syre/HiRRQXF+Ojjz6C0WjEzp07xVArANCjRw94eHhI4q4CjsfeBITkiE8++STMZjOuXr0KjUaDjIwMzJw5E4AwsG/Tpg04jqswBl11mT17thjf+MKFC7h9+zZatmwpru6fPn0aderUAcdxkqRhjlB2ceTgwYOi18SWLVvg6+uL5cuXY/fu3VCr1ejfv7/EcxCo/vndtGkTlEolgoODMXr0aPF8Wy+4rF27Fv369YNarUZiYiJiYmIQGxtrk3S1OtgbXJ06dQpRUVHo37+/uP0SEM6J5XOODM7sfcYSwsDb2xvx8fHo378/0tLSEBsb69SOhtrQrEzXguVe+d///ofQ0NAKY8G7SvObb75BcHAwxo8fj4ULF+KBBx5AQkKCQ8ntAGEByMPDQ4xLWxmWeJUPPPCAUxPTW7duITMzEz/88IPECHjy5EmMHj0a/v7+Eq8grVaLjIwMmxjJ1eGrr74Cx3Fo0aKFGM7Duq7/8ccfGDduHGQyGSZOnIiXX34ZXbp0QWxsrMt2x1iwXCdLbPguXbpIDDr79u1z2Y4na4xGI3bs2IF69eqJ8VY3bNiAnj17IikpyeXlrC3N8rhy5QoCAwNtkjy7GqPRiJYtW+Khhx7CxYsXcfz4cfTv3x+tW7d2uKzLli2Dm5sbVq9eLfEMruj7tFotunXrhkmTJjmkBwjOBM899xwiIyMRHR2Nhx9+GD/88IOoOWvWLMhkMslif8+ePZ0qJyAYy8PDw/Hpp59KEgpb6sySJUvAcRxGjRqFZcuW4Y8//kC3bt2Qnp5eI8YyvV6P1q1bg+M4dO7cWVxc/OOPPzBz5kyX3r+W32/J9REYGIjx48fj6tWrOH36NPr06YM+ffq41LBSG5rlYTmPy5YtQ/PmzZ0y8laEdRkyMzPRtm1bbNmyBYWFhcjPz0efPn3QrVs3h+6jHTt2IDg42CYMYnnnrbi4GDdv3kTPnj2RmJjo1D30xx9/YN68eejduzcmTpwoqY+bN29GmzZtMGzYMMnCXp8+fZCRkeFwfdm2bRsCAgLg7e2Nnj17SsIwWn/n1KlTkZCQADc3N8THx0sS2zuSiLcyXnvtNTz44IOSMa81js6F7fHLL7+gV69eCAwMRP369REXFydJXF0T5XSlpiPvBwQDN8dx2LlzZ7U/Wx3Nw4cPo1GjRujWrRseeughZGRkIC4uzuHE65s3b4aPj4/NbqLyfo/BYBDj/qempjpcT7/88kukpKSgWbNmaNy4MdRqNSIiIvDOO++I75kxYwZatmyJV155BTdv3kS/fv3QpEkTpxLMMxiM8mGG9P8gn332GQoKCrB//35cuXIFx48fR6NGjUSj69dffw2O46BSqXDs2DGHNKw7kp9//hnR0dGSTtISM9yykpqdnY1x48bh6NGjLplMXLx4Ea1atZJoFhUVoW3btqLHhtlsxpgxYyShR/4tmtbnd8qUKWjSpAm0Wq3oOTF69GiMHz9eNKA89thjiIuLQ1pamsOTmLJxj1u0aCHxIMnKykKLFi1ETzmNRoNJkybh3LlzLvF+X7VqFerWrSvZKvvbb7+hYcOGOHPmDADBkD5s2DD8+OOPLpuUPvvss/jggw+QlZWF27dvIy8vDx07dpRsW46Li0NwcLCY2M8Rzp8/jy5duuCZZ57Bhx9+iJYtW2LEiBHlGtOvXbuG7du34+2338aSJUscTm537ty5Kt0Pp06dwp07d8p9rbr3U1U1DQYDzp49iyeeeAJPP/00Xn75ZbF81b22taFZHV1rvvvuOzz00EMOtw9V1czKysJnn32Ghg0bIi0tDcOGDXO4rNnZ2ejatau4iGahvN+h0Wiwfv16dO7c2alJDCCEiurRowfq1q0LhUIBjuMwZMgQMSzDqVOnMHjwYAQFBeH3338HICwqtmjRwuEFgz///BOtWrXCE088gZYtWyI2NlY00lnXv5ycHKxevRppaWno1asXRo0a5VRyu8o4d+4c5s2bJ/H8tz6nNWFMBwTvvQEDBojGjX79+tVoOWtL04LlnE6ePBl9+/YFUDMhmCw6v/76K+rWrQsvLy80a9YMnTp1crisf/31Fxo1aoTFixdLjldkoNu3bx+6d++O+Ph4h+vL559/jvr162PChAl4/vnn8frrr4t5Gj7++GOxDK+++irkcjkWL16MPn36oHHjxk5d0x07dqBhw4Zo1qwZmjdvjgULFoj11LoM33//Pbp27YrQ0FDExcWhQ4cONWJwsGju2rULTz75pI1nvgVX3r+W78rPz8fUqVMRGxsLuVyOuLg4tGnTpkbKWRuaFXH16lWX78gpj6KiInTp0gUJCQmIiYlBeno6WrZsWe2yWu6RGTNmYMCAAWKOBnvvXbp0KWJjY9G2bVun6svKlSsRFxeHjh07olevXoiMjBTjSltYv349kpKSMHz4cOzfvx/9+vWT1NPqXtP8/Hw8/vjjmDx5Mg4dOoSEhAR07dpVYky3dhA5deoUdu/ejT179jiUhNIyP6rK+SkuLpbkD3D0fq2KpnV7dP36dXGX74YNG2qsnK7WrKpuRcyaNcvhpODV0dy1axfGjx+PwYMH44UXXnBo7mQymWAwGDBixAg8+eSTlZ5no9EohoFKTEx0uJ4uWLAAnp6eWLBggRiC8ueff8bQoUPBcRzeeOMN8b0vvfQSWrdujaCgIIkRvabGgQzGfxVmSP8PYN1hfvrpp1CpVKJRAQBWr16N9PR0cWC/fft2TJ48WWJEcpQNGzZg9OjRePHFFyW/JScnBwEBARg1ahS2bduGrl27Soy8zkwm5syZgwEDBmDMmDGSQZhWq0X79u3Rtm1bvPLKK+jUqRPi4uLEAdK/TRMQVth79+4t8RDRaDRITEwUveUMBgMGDBiAvXv3OuVBbGHJkiUYOnQonnjiCcl3FRcXi6v9ixYtQpcuXdCqVSuXXNPdu3dj6tSp4mKP5fydPXsWoaGhePbZZ/H333+jW7duePDBB53StD43+/fvR2BgoMTT9ebNm2jSpInoLZSdnY0xY8Zg3bp1Ti+OvPzyy6IH6bx582yM6fa8zqtb1s8++wxpaWk1vp3S1Zq1UU5H7iNndB1NBOSIZkFBgTgZARwbaJ89exYBAQGSxMbWWMpRUFAAjUaDV199VbLQ54jmokWLEBgYiHfeeQe7d+/GyZMn8cknnyAgIADt2rUT49UeP34cDz/8MMLCwhAfH++0gW7z5s2YOHEijh07hszMTMTHx1doTAdgEw7D2bBWrnqvK77HOj58bm4usrOzHU5mWhua1dEty8mTJyW/pSY17969iw0bNmDv3r1OJUncuHEj4uLicPHixUp/8y+//IKhQ4c6ZbhfsGABVCoVvvzyS4lRKisrC23btkX9+vUlIWpmz54NjuMkddSRclriV48aNQq3b9/GuHHj0KhRI4kx3WQyScLIXL161akklFW9B8xms8uMGdXZ6WQwGJCXl4cffvgBhw8fdthYVhuaVdW1xnIdt27d6pK8R5Xp5OXl4X//+x9eeuklfPLJJw71bRa95ORkcQdI2d9geW5ZMC0sLMT8+fOd6kvnz58PNzc3fP755+LY4datW3jjjTfg5+cniSu9ceNGtGvXDu7u7mjWrJlT9dRgMGD37t2i89GFCxcQHx9vY0yvqN2pTnv00ksvoVWrVqKH+b3YveQqzdooZ3U/5yrd6txH1dG0F1rUkd+q1WpRv359cZdyRfXUEt7l4MGDeP755x2up4sXL4ZSqbTZ9QwIC0yjRo2Cn5+fZAz+3HPPoWfPnk61DQwGwz7MkP4f4pdffsHTTz+NjRs3So6///778PLywtWrV5GVlYU+ffrgmWeeEV93tEM8d+4cOnXqBF9fX8k2esvAa/v27QgODkbz5s2Rnp7u8FYya3Jzc/HCCy/Ax8cHaWlpNprZ2dnIyMgQ4+u5wjumNjQBYYtXp06d0K1bN2i1Wkkn+dJLL0GpVGLixIlITExEXFycUwn1LFy/fh0jRoyAv78/BgwYIB63eEtnZmaicePGSExMRNeuXZ2+piaTCZmZmXB3dwfHcRKPb7PZDI1Gg/fffx8hISGoX78+kpKSXHIfAUKIjXfeeQevvvqq5Pj58+eRmJiIcePGYcmSJejRowfS09OdMt6Xdy8UFBSUa0zPzs4Ws8M7yrx588BxnJgQ9V7gqGbZZI7/dE1X6Va3fXDFNXW0rd+3bx/8/f1tEhxZc/v2bbz66qsoLi5Gfn6+U8bPRYsWQS6XY8OGDTav7d+/H0FBQejZs6d47MSJE+jXr5+kfXB0UmE0GiVJ5Y4fPy4a061jMWu1WptEhs60SdaJGO8VVdEsr0zO9G21oVlV3fKo6bKW9/2O1tNXXnkF4eHhdt9z5swZ/PTTTzCZTDhy5IjDhuVVq1aB4zgx1JPlN1vqxK1bt9CoUSN06NBB8rmvv/7aJRP/U6dOSRbAx44dKxrTrRcOXZGE0vr9FkN9TVMdzYranereR7WhWV3dinBmYa8yTVcYeq3p3r07OnfuXOGYvaCgAK1btxYTWjujt2zZMnAch59++snmtYKCAsyZMwcBAQFiTiJACAs3cuRIl9TTsp89f/48EhIS0KVLF9GYnpub6/RYddmyZejQoQO6d+9+z4zpjmo6M06oDc3a0nVU0xXXXafToW7duja7MK3JyspChw4dbPr56uofPXoUXl5eeOihh8Rj1iHKAMFQHx4ejqefflryWWfG2QwGo3KYIf0+pazn8fbt2xETE4OwsDAxkailMS8sLERSUhKUSiWioqIQExPjULzls2fP4ujRo7hw4YJ4bNeuXejRowfCwsLKXUnNzc3F+fPnHZ6s/f7779i+fbskqdvly5fxxhtvgOM4vPfee+JxS8I5vV6P4uJihzuY2tAsi8V7uXHjxggPDxdXvS3fq9FoMGvWLPTu3Rtjx4512KPs2LFj2LdvnyScypEjRzB+/HioVCosXbpUPG7R1mq1TnkJ3rx50yY8xffff4+IiAh06NBBEu/YUtYrV65g//79TnnrWZObm4uMjAxwHIdHHnkEgHTAt3r1arRu3RotWrRARkaGy4z3FizXqaioCHPnzkXLli0xatQoXL9+HS1btnQqj8CaNWvAcZyYwKq6246Z5j9Pt7bKauH27dvw9/eXLJiW/Q2rVq3C0KFDJdvVHdH/6aefwHGcmLy5vO+xJM625FMA4JS3aWW/98SJE6IxPT8/HwUFBRg/frzDMT8BIXbs66+/DkDIMTJixAhoNJpq/8bqtPn/Fc3a0q2tslqw5IA4ffp0ud9rMpnw8ssv2xgHqmtYNpvN6NWrF0JCQvD999+L46Cyi80bN26ESqXCwYMHbb6jJry2rY3pBQUFyM/PxxtvvGE3hEZ1vn/cuHHo2bOnxPu+JnBU05n2vjY0a0vXUU1nDXQW3eeffx5BQUHYsGFDubtXr1y5gl69ejkd+/3ChQto0aIF4uLixGNljfc5OTno0KGDmMC6LK400Fm0Lcb0Bx54AOvXr0d6ejo6dOjg9L309ddfo0ePHujatStu374t0SwPaz1HEy3/VzRrS7c2NE0mE7RaLXr06IE2bdrgr7/+krxm4fjx4+jatSvOnz/vkI6FixcvimGyrGOhl90RN3bsWDGviLUNpyZCzzEYDAFmSL9PsQz6LB3KhQsXMGnSJHh5eUmMcJbXtVotli1bhq+++sohL4Nly5YhNjYWAQEBSEtLkxg59u7di969e6Nz58747rvvxONlv7+6k7UlS5agQYMGiIqKQoMGDTB27FjxtZs3b+LVV1+Fh4cH/ve//1WoWd0OpjY0AeEczp07F6tXr8bff/8NQDhfn3zyCSIjIzFixAhkZ2fbfL/1QKG6A96lS5ciOjoaYWFhiI2NxaxZs8TX/v77b4wfPx5NmjQRE9YCtp6o1b2mq1atQlJSEoKDg9GlSxccPnxYfG3btm0IDw/H2LFjxfhwgGuMDJmZmfjrr79w5MgR8dj58+cxYsQIeHt7i5621ufw5s2buHXrlsuM92WxlKuoqAjz589HQkIC1Go1mjVrZuPpWlUWLVoEjuPA87xovKjKNbI+x2vXrpUYKJlm7erWVlmtv8dgMGDKlCnw9fUVt7pao9VqMXDgQBtvGUc4ffo06tati549e1YYZzg7OxsNGzaUxIy0UFOxeU+cOIGWLVsiJiYGycnJCA8Pd7hNKCoqwowZMxAVFYVOnTrB09NT0uZVhPU1tSyq3EtNS86Tf7JmbenWxjUty5UrV+Dv748RI0aIx6zrQ25uLvr164f58+c7pQMIdb5nz55o1aoVvv7663IXm/fs2QOe50XnjprCekwwduxYNG7cGO+//z6SkpLQsmVLl3goXrt2DWlpadi9e3el77U+B9ZOB0zzn6VbW2W9c+cO6tevj9jYWEloGrPZjJycHPTv3x89evRwui/T6XT/3955x0VxfW38DoJYQJCo2BAEovSqFAGFINKRYjSRaDTqT8USSDVEYyFqKiqKvYDYUCPGGHs3mjckxhKVoiKKqBCjoAhByvP+wWcnO4AIu8sOuuf7lw6z88zdnXLvc849F6tXr8aAAQMQHh5eZ9wo0V27di1ee+01FBYWNntmq0Q7NzcXNjY24DhOkNwlTxmtffv24f3330fr1q0REhLCl8ep7/6X1klMTMScOXMa3e9WFU2xdMVqa21++uknfrHqq1evCv5WUlKC8PBwvPnmmwoxsm/duoUZM2agb9+++Oabb/jt0h6Ov78/xo4dK7cWQRCNh4z0V5CdO3di2LBh8PLywtdff82/WO7fv4+pU6fC1tZWENWsr2PUlIHFypUr0bp1a6xfvx7Hjh1DUFAQgoKCBPscPnwYISEh8Pb2xsGDB2VsmVBTXV0dqampyMrKwuLFi2FlZYVHjx7x+xQUFGDOnDno0KEDEhISXkpNoKYTq6+vj/79+6NHjx549913+TqG1dXV+Oabb+Dq6oqJEyfi4cOHAOQ37yVt3bx5M86dO4fp06fDzc1NcNxLly5h4sSJMDMzw+bNm+Vs5X91GhctWoSff/4ZBgYGGDlypGCftLQ0GBgYYPz48Y0yIRpDUlIS+vbtC1NTU2hrayM5OZn/W15eHoKDg9GpUydcuXIFQP33iywDmsb8JpJ9cnJy0K1bN7i6uso8nXb16tVQV1fH0qVLERUVhY4dO/LTeRs6f+nzXLFiBdq3b4/Dhw+TZgvQFaut9fHXX3/hjTfegL6+PmbOnInS0lIUFhbi119/hY+PD+zs7GResLA2165dg5GREby8vPgpvbWPa2hoKFgQWBmcPHkSHMdhwIABMs8CkuxfUFAAZ2dncBwnCH4/73eVbvvKlSuhpaUlCAySpni6YrW19rHKy8vx9ddfg+M4jB07VpCJfffuXQQEBMDd3V1uY1l6cO/r61vHTJe0Nzk5GZ6ennwSQHMi/b4cNWoUOI6DnZ2dQkrtxcfHw9vbGyNGjHjhDAPp33Tx4sUIDg4WlJohzZahK1ZbJffOpUuX0KNHDxgaGiIqKgonTpzAt99+izfeeAPW1tZyX7eScy4vL8eGDRvg5OSEiIiIOmZ6ZWUlpkyZIiiVJqtWU/avqKhAv3795OrzShMdHQ0LCwtMmzYN3t7e6N69O3x9fVFQUABA+J6WPt9Vq1ahdevWfIkq0mw5umK1VZqEhARwHIeAgAAkJyfjzp072LlzJ7y9vWFjY8Nfs4pI4HiemQ7UJEv6+Phg3bp1ACgLnSCUBRnprxirVq1Cu3btMHPmTISFhcHW1lawmFNeXh6ioqLg7OwsKEEi60N+zZo10NTUFCxw8dNPP8Hb2xv79u1Damoqv/3IkSMIDQ2FjY2NoFRIU9m4cSPU1NQEpWKuXr0Ka2trJCQk4KOPPuJN1gcPHiAuLk5Qq/Nl0QRqfk+JeV9ZWYmNGzfitddeQ15eHr9PVVUVvvrqKwwYMACTJ0+We1C6du1aaGpqCkrXnDlzBv3798emTZsQHx/Pa1y+fBmTJ09Gx44d5QqQSK4j6fr9a9euxZgxY3D27FlcuHCBz65PS0uDkZERIiIi5J4yJwkYbNq0CSdOnEBMTAysrKzqNRg6d+7MZx3I00mpXbbmRRQXFyMoKAhmZmYyDygkpS4k129WVhbGjBnzQuO1tpGjq6uLHTt2kGYL0BWrrQ1du+fPn8fbb78NdXV1dO/eHR07doSTkxMGDx4s1wKf9ZGdnQ1DQ8M6ZjpQUy/S1dW1UZmEiqKoqAjOzs6wsLBQyMD/wIEDmD9/PsaPHw9LS0t8+eWX/N8aWixr5cqV6NChg0w1ZVVFUyxdsdoqzb179zB79my0b98effr0wciRIxEREQEnJyf069dPYffp88x0SZmXJ0+ewN/fH5MmTVLaoL+qqgrFxcUYOHAgnJ2dFXKflpWV4auvvoK+vj7s7Oz47S/KiFy1ahU6dOiALVu2kGYL0xWrrbWPmZ+fj9DQUBgaGqJVq1bo378/Jk2apLDFA19kpgM1CVh+fn4yB6UlAYWmPE8qKysxevRodOrUSe41TYCamTzdunXDqVOn+G3r1q2Dq6sr/P39BSVBavePOnTogB9++IE0W5iuMjQb+17avHkzXn/9dWhoaEBNTQ1WVlYYPny4wvu8gNBMl06IDAgIgJeXl1IW0SUI4j/ISH+FkCzAJm1qe3h44Ntvv8WTJ0/wzz//AKh5EE+ZMgUDBgwQLCDTVPLz88FxHAIDAwXbBw8ezGdS6OnpCbJ+9u/fj08//VTmDN7i4mIYGhrC1tZWsOBbcHAwunbtCh8fHxgbG6NLly44ceIEgJrgwfr162XqiImhKUGyCJC0eV9RUQE7OzvExMTgf//7HzZu3AigZoD4zTffwNTUtE6kuiltffjwITiOQ//+/QWZ9pI69/b29ujatStMTEx4E/vcuXP45ptvZH6BZ2RkQFNTE2+//bZgu5ubGwwNDaGtrQ1DQ0OEhITwHfzt27cjLCxMrij/xo0bwXEcDh06xG9LS0uDt7c3fvrpJ2zbto3P/L9//z5CQkLAcZxgDYCmkpiYCHd3d/64jaG6uhpfffWVXAOK0tJSfuEmCdnZ2Q0ar/UNEJti5KiKpli6ytZsbADo4cOHuHDhAuLj47Fs2TKcOnWq2cofSZvpd+/eBVAzaAkKCsLQoUNlfj7I8rnDhw9jxIgRMt+n0ppffPEF2rVrh9zcXNy+fRuxsbHo27dvnVI1mZmZgs811XBVFU1Va+uLKCoqwtmzZxEREQFPT0+MHDkS3333ncIMOgn1mem7d+9GeXk5QkJC5J6lIstnvv32W+jr6yvkPpVQWFiIhIQEqKur4+OPP653X3kMJFXRFEtX2ZqNuW4l986zZ89QWlqK7OxsQelERRlm9Znp4eHh/H3h7+8PV1dXmfQ+//xzODg4yLS4Z05OjsKeR/v374euri5u3LjBb3v27BkWLVqEtm3bIiwsrE6ZOFn7gqqmKZZuc2s2NQB0+/ZtZGZm4ujRo8jLy+Pvq6Zcu419n0nMdHNzc3z33XcIDw+HmZlZsxj3BEE0DBnprwj1LcAGAC4uLnB0dETv3r1hZmbG1/W8ffs2IiMjMWHCBLmygZKTk9GmTRvMmzcPABAREQFzc3NcvnwZt2/fxt69e6GtrV1vbVxZH/bp6ekwNzfH8OHDcfnyZQwbNgxWVla4fv06SktLUVJSAisrK3h5edX5rKwdMmVrVlZWIjIyEhzH4a+//uK3S8z7kSNH8othLlmyBEBNB3/z5s1yv0RPnDiBdu3aYcKECSguLkZERAQsLCyQlZWFBw8e4PLly+jZs6dgBXHp824qd+7cwaxZs6Cnp4fly5cDqLmO+vbti/T0dNy4cQNz586Fvr4+li9fXud6lcX0ysnJQZcuXeDj4yPIZg0MDISenh4cHBzAcRzc3Nz44Elubi4+/vhjmb/fFStWgOM4mc0foG4N+hdx9+5dPjNDgvT5SxuvR48erVdz5cqVaNeuXaMHpaqiKZauGJqyBIBqI+8U9OeRnZ0NIyMjDB48GPfv30dgYCDMzc0VUrIhNze3Secpy+CpNjdv3sS8efOwb98+flteXh4+//xzWFhYYPbs2aisrISvry+mTJnC77Ns2TJ07NhRpoGpqmi+6m2V5VpvKBNeEdQ20/v37w8LCwv07dtXroG/dFuLi4sb/bny8nKZA3vSmn/++ScOHTrE9wGB/xZz/fzzz/n9ardt9erVMgdjXmVNsXSVrdmU61b63fc8A18R1DbTnZ2d8eabb2Lw4MFy3adJSUkYNGgQ/Pz8mmSmP6/dTUXy2cuXL8PKygqpqal11oTo06cPOnXqJCi19f3330NbW1umTGlV0RRLVxmaTQkANXQvNuXabapxf+vWLcTGxkJdXV1wjzb3GgYEQQghI/0VQbIAm5+fH/9AjoiIgJGREfbs2YPVq1fjjTfeQMeOHfkI7t9//11n1WdZSE5OhpqaGnr16gU7OzuB+fDw4UM4ODgIXmjyIDnf9PR0mJqaQl9fH6ampnypE4mZMXbsWAQHByukLpkYmkDN9NLQ0FB069YNly9fxvDhw2FlZYXs7GwANQsSDRs2DMbGxnUi77IOhiXnfuLECairq6NTp06wsrLC7du3+X1KS0vh7++PyMhIGVtWl4KCAsydOxfa2tro06cPHB0dcevWLf7vf//9N/T19REXF6cwze+//x5OTk6IiYlBYWEh3nrrLVhYWODKlSsoLS3FxYsX0apVK8TGxtb5bFM7K6mpqeA4jl8srrHXiDz3ZVpaGjp37oyRI0di48aNAs3axuvYsWPRuXNn/Pzzz4Jj3Lp1C76+vo3u8KqKpiq1VZYAEAC53y1NKYGUnZ0NExMTcBwHCwsLmQcV+/bt458x06ZNw6hRo15YH7c+HVmfv3v37gXHcdDX18fx48cFf8vLy0NcXBw6deqE3r17C+rknjlzBrq6uoJSaqTZMnTF0GxMAEgRZlxj32PSZrqbmxscHBzkGvhLn/uECRMQEBAgKEfRmM/JUrdZwowZM2BqagoTExNYWVnhrbfeQnZ2NkpKSrB48WLo6elh1qxZdY6xfPlycByHXbt2kWYL0FW2pqzXrbw0ZT2e8vJyJCUloVevXoLnkawG3c6dO+Hv7w8fHx9BuY3nIf1MkZRzbCzPex6VlZVh8ODBcHV1FZQVvX37NsLDw+uYsR999BE2bdpEmi1AVwxNWQNAsiLrzI2cnBysWLFC4TPJCIJoPGSkv0Jcu3YNhoaGGDJkCIKDg2FtbS0oQ7Fnzx60adMGP/30k+BzijB+U1NT0bp1az6bStIpKykpwYABAwS1vORFcr7nz59H37594efnh3PnzvF/f/bsGTw9PREdHf1SawI1A8+goCBwHIfevXsLaqMDQGxsLNzc3JqcqdwQkraePXsWbdq0QUREBL9greScPDw8MHPmTIVpAjXlU+bPnw8dHR3Bsaurq/H333/DyckJa9askVtH+npftGgRHBwcYGpqitdff52v/S7Zx8vLC2PHjpXLdFizZg04joOamhrS09PrnMPzkNbcvn07kpKSGq1ZXV2NOXPmwNDQEDt27ECXLl0watQozJw5ExUVFXX0s7KyEBoaCj8/vzrHqh2kUXVNVWqrGAEgQLYM+IyMDIwbN07mgf/Tp08xY8YMmJiYwMvLC1paWo1a0Fi6rZLvSVYKCgoQExMDNTU1fnaZ9KCqqKgIf/31F7Zt28Zvr6qqwvXr1wVlx0iz5egqQ1PWAFDt+1RWs6Axxr3k2NLPKnkH/vn5+XB3d2/UWgjSbX3w4IHMz6iEhATo6+vzmlOnToWOjg5fZuvRo0dYsmQJOI7DqlWrBJ89ePBgk9ajUDVNsXSVranM61aWDPjy8nL8/PPPgntWVs19+/bh/fffR+vWrRESEsKPJV5Ubz4xMRFz5sxBeXl5kzV37NiBuXPnYvHixfj1118B1CR1WVpawsnJCbGxsdi6dSu8vLzg5+enkBkqr7KmqrUVaHoASPrabWoASBHGPZVzIQhxICP9FSM7OxvW1tbgOA6///47gP8esBcuXEDfvn3lHuw/j5SUFLRq1UpgggYEBMDe3l7hkVLJS/L333+HqakpwsPDeWM7ICAA1tbWctXebCmaQE0G+OjRo6Gnpycw7ysqKuDn54dx48YpTEuCpK0nT56EhoYGxowZw6+EHhAQAFtb22aJft+9exfz5s2DtrY2Fi1axG8PCAhAv379FNZZkO6gJSYmwtjYGGPGjBFk3j958gT9+vXDggULZNZZvXo11NXVsXTpUkRFRb1wIUgJ0tfPihUr0L59exw+fLhJ2oWFhejduzeOHz+O/Px8LFmyBF5eXrC2tsa8efP4hVMl5Obmyj19WFU0xdJVpqYYASBA9gx4aRo7+JYgea4UFBTA2dkZHMcJZlE9r921a+RqaWnhwoULjdJ83jHv37+P//3vf9DU1Hzhs0IR9Z1fRU2xdMXQFCMAJKtxXzvgL8/7PD4+Ht7e3hgxYsQLtaXbunjxYgQHB/MzNxtLdXU1KisrMWLECH7hxT179kBbWxsrV64EUGOglJaWori4GNu3bxf8lrLWgFcFTVVqqzKvW1ky4BVROlFCdHQ0LCwsMG3aNHh7e6N79+7w9fXlxxLS93/t9Vtat26N7du3N0pH+rOffPIJevXqBW9vbwQFBcHY2Jiflffo0SNMnDgRLi4usLS0hK+vr8wl4FRFU5XaKkYASII8Mzca8+4lCKJ5ICP9FeTatWswNjaGt7c3vwAbUGNGent7K6z0SH2kpKRAXV0dX3zxBQIDA9GnT59mWwBD2tju06cP3nzzTfTv3x+vv/76K6UJ1GSBh4SEQF9fH3/88QeAmt/TwsKiWcx7QGimt27dGu+99x68vb2bva3379/H3LlzoaOjgyVLlmD48OHNch1J3weLFy+Gvb09pk6dypvpAQEBcHBwkDlg8MMPPwgWi83KympwIUgJtc05XV3dJmc8STpxs2bNqlNWieM4WFpaom3btpgxYwbWrVsn+LuszwdV0RRLV5maYgWAxMqAl3DgwAHMnz8f48ePh6WlJb788kv+bw2Vb5FnEcpTp07h2LFj/PcL1JTtGjduHNq0afPcOvdNRVU0xdIVQ1OMAFBLmLlRVlaGr776Cvr6+rCzs+O3v8jkkCw2t2XLlkbp1BeEDA4OxsmTJ3Hs2DFoaWnxhuuzZ8+wcuXKOqW05AnGvMqaYumK1VZAeddtbcSYufHLL7+gW7duOHXqFL9t3bp1cHV1hb+/v8AslHeBWgmJiYkwMDDgS32sXLkSHMdBW1ub70NXVFTg6dOnuHfvnkLWNFEVTbF0xdBUVgBITOOeIAjFQEb6K0p9C7BJm5HyRGpfxKZNm8BxHExNTZt9AQzJef3xxx/Q1dWFra3tK6kJ1JjpQ4cORffu3eHo6KiUVbolbT116pRCftPGdsrv37+PuLg4cBwnMO6ba2YDUGOmOzg4IDo6Gm5ubnIHDEpLS/mpwRKkF4Ksz5isb/DUWHOuvLy8TrbRvn37oK2tzQcH7O3t4eHhgfz8fKSkpMDBwQFhYWEyD5ZURVMsXTE0xQoAiZEBL338L774Au3atUNubi5u376N2NhY9O3bF/Pnzxd8JjMzU/C5ppro0ucbGxvLLwSuo6OD6Oho/veWGK/t27cXLFIpC6qiKZauWG2VoKwAkBjG/fOOW1hYiISEBKirq+Pjjz+ud19FGXRJSUm4c+cOAOCdd96Bvr4+tLS0sHHjRsH5eHl58Yu/y4uqaIqlqwxNsa9bQPkzNyTs378furq6/JpcQE1gYtGiRWjbti3CwsLqlJhrap9XmuLiYkyaNIkPgvz000/o0KED4uLiEBkZCW1tbezfv7/O5+QJZqqKpli6YmiKEQBSlnFPEITiISP9FUZ6ATZLS0uZzMhr167JpH3y5EmZF8BIT0/n64Q1BslL88aNGzLX9Pv3338F/3+RCaUITVkoLy9HQECAwERvbl1JWzMyMmT+TQ8cOMAPWhrbyblz5w5SUlKa/fuVPp8lS5agQ4cOci2GdvfuXb6zJaH2QpASY/J5mYkrV65Eu3btGt0p27lzJ8LDw2Fvb19nQdbJkydj5MiRMDMzg5ubm+Dc8vLy+Gu9qcarqmiKpStWW5UdAALELYEEADdv3sS8efME5mZeXh4+//xzWFhYYPbs2aisrISvry+/DggALFu2DB07dpRp4L9gwQLo6+vj7NmzAMAHDt977z2UlJQAqKkBGhERAU9PzyYfX5U1xdJVlqYYASBplGXcA8K2/vnnnzh06BCuX7/Om4Lx8fHo0KEDPv/883o1gZrni6xtLSsrg7a2Nr/+zf379zFo0CAYGRmhsrISJSUlKCwshL+/P1xdXRWS1KAqmmLpKkNT7OsWECcDXtLuy5cvw8rKqs6ij0VFRejTpw86deokCMJ9//330NbWbnSft77+R0ZGBq5du4bMzEyYmJggISEBALBt2zZwHAeO4+r0bWRp26uuKZauWG2VRtkBIDGMe4IgFAcZ6a848izAtmLFCjg7O/MGaGORftjXfvi/iHXr1qFz587YuHFjk+p+SberqqqqSRHpXbt2YezYsRg8eDASExPxzz//NLumBFkWCf33339lXkjl2LFj2LBhAxYuXIjc3Fw+U+5Fv5G0TlN/05SUFHAch7CwsCadqzTNvZCK9G/3448/ymzep6WloXPnzhg5ciQ2btwoOG5tM33s2LHo3LlznWnDt27dgq+vb6M7SJIOVUxMDKKjo9GqVSs+gwMANm/ejFatWiEsLAxPnjyp9xhNvXZVRVMsXTE0xQgAAeKWQAKAvXv3guM46Ovr4/jx44K/5eXlIS4uDp06dULv3r1hbW3NP7PPnDkDXV1dpKamNlnzxo0bePPNN7F7924AwO7du6Grq4vo6GhoaWlh3Lhx/MJwjx8/Vki5E1XRFEtXDE1lBYDEMu6l7/EZM2bA1NQUJiYmsLKywltvvYXs7GyUlJRg8eLF0NPTw6xZs+ocY/ny5eA4Drt27Wq0bm39pUuXwsPDA1lZWaisrMSBAwdgZmaGbt26wdbWFs7OznB0dFTIDEFV0XyV2yrWdStGBvzznmNlZWUYPHgwXF1d+bIcAHD79m2Eh4fXMdg/+ugjbNq0qVGa0qxbtw779+8X9NU3b94Md3d3/nl75MgRvPPOO1i9erVCEnJURVMsXTE0lRUAqo2yjXuCIBQLGekvEfIOvJpSQ2vVqlXgOK5eY6Kh85D+W+2H/4vYsWMH2rdvjy1btrwwY+J527OyspqkuW7dOmhpaWHGjBl8pvfp06df+Dl5NIEas3bcuHFwc3PD4sWLG/252t99UxcP1NbWhru7O/T19WFgYICZM2fyJSIa8/3m5uY2Wg+oCcaoq6sjICAA/fv35zsLjc34B8B3nGSlsQOg2t9tU4Mc1dXVmDNnDgwNDbFjxw506dIFo0aNwsyZM1FRUVHn+FlZWQgNDYWfn1+dYzX23lmzZg00NDSQlpbGb3v77beRkJAgOMbgwYMxbNiwJrVH1TXF0hVDU4wAkAQxMuClKSgoQExMDNTU1LBhwwYAwjYXFRXhr7/+wrZt2/jtVVVVuH79Oi5duiSTZklJCTZs2IDi4mKcPXsWBgYGWLZsGYCahbU4jkN4eDjKysr4z8j7/lcVTbF0la0pRgBIjJkbAJCQkAB9fX2+xvPUqVOho6PDPzcePXqEJUuWgOM4rFq1SvDZgwcPNjrA9rzf4/z58+jVqxfWrFkDoOb58OTJEyxduhRLly4VPBsUtUDtq6Yplq5YbQWUd90C4mTAS2vu2LEDc+fOxeLFi/Hrr78CqJl9Y2lpCScnJ8TGxmLr1q3w8vKCn5+fzMlA0lRUVMDU1BQ2NjY4fvw4357k5GRoamrizJkzKCkpQXBwMKZOnSr4HGm2TF1laYodABLLuCcIQrGQkf4SsHv3bt7cbcrAS9YauUlJSeA4jjdK/vnnH+Tk5OC3335rtN7q1asRHh6OBw8eNPpcR48ejdmzZwMArl+/jmXLliEqKgrbt2/HrVu3ADRsJK9YsQLdunXj930R58+fh7GxscCw6t+/P7Zu3YqqqiqBaaIoTQBYu3YtOnbsiMmTJ2PixIngOA6bN29+4eekdf/v//6vSbULMzMzYWxsjNTUVL6MTWxsLFxcXDBq1Kjnnn/tTJX+/fsLFrBtiJUrV0JDQwOHDh1CaWkptLW1+d+3IWqbZJ9//jk/Lb4xJCUl4YsvvsCJEyca/ZnaurXrUjeWwsJC9O7dG8ePH0d+fj6WLFkCLy8vWFtbY968ebh69apg/9zc3OcahC/i+PHj4DgOc+fOFWy3tbWFjY0NtLW14eTkhJSUFKSmpsLZ2Zkf4MiKqmiKpSuGphgBIECcDPjnvT/v37+P//3vf9DU1HxhSRlFDtgAYObMmRg2bBg/s+Crr75CRESEwGxoKqqiKZauWG2VRtkBIDGM++rqalRWVmLEiBFYuHAhAGDPnj3Q1tbmZ+iUlZWhtLQUxcXF2L59u+D+bOz7VLoUIVCTJVg7uCd5RjaUTNCUrGVV0RRLV6y2Asq7buvbX1kZ8NKan3zyCXr16gVvb28EBQXB2NiYHz8+evQIEydOhIuLCywtLeHr66vQtbqePn0KFxcXODo64ujRo6iqqkJ+fj4iIiKgoaGBPn36wNLSkv9+m/rdqoqmKrVVjACQ2MY9QRDNAxnpLZwdO3aA4zhoamryg5fmXIDtr7/+gpaWFkJDQwHUZCANHjwYJiYm0NPTg6OjY72Gem3zs23btk2aklhaWgozMzOkpaXh77//hoGBAUJDQ2FlZYV+/frB29u7TuZ3bZNXR0enSRkcR44cweuvv47r16/z21xdXREWFgZHR0dERUXVMT7l1dy9ezc6d+4syPgYNmwYUlJSGsyArr1Kd58+fXD58uVG6547dw5dunTB+fPnBduXLVsGFxcXTJ8+HQ8fPnyupmSBsMYaVrt27QLHcYIgxaxZs2BjY9Ng3f3a15GGhkaTTLL79+9DU1MTffv2xYQJE+Dm5oYzZ87UKU/UUHAkPj4elpaWgszBxiCZ8TFr1ixBBgEAfp2Ctm3bYsaMGVi3bl2D59MYsrOz4eHhgZCQEPz+++8AgPDwcJiamiI1NRUHDhyApaUl7O3tcejQIbRu3Rrff/99k3VUUVPV2qrMABAgTga8tMapU6dw7Ngx3jQH/lsIsk2bNs817puK9Oe3bduGuLg4xMbG4ty5c/zfQ0ND4evrC6BmUBUSEiIYKMljNrzKmmLpiq0pTXMGgGqjLOO+vudKcHAwTp48iWPHjkFLS4s3I589e4aVK1fWeTY0pa2zZ8/GgAEDeK2srCyYm5vDwMAA48aNQ3p6Op49e4a7d+/CxcUFycnJTdZQVU1Vaquyr9v6UGYGvITExEQYGBjwJuDKlSvBcRy0tbX541VUVODp06e4d+8e/93I09baAfinT5+if//+sLOz49uen5+PtLQ0JCcnK2SdJVXRFEtXWZpiB4DEmLlBEETzQUZ6C+bSpUtwd3fHlClTGlUzVoK8C7BNmzYNHh4emDx5Mrp3747o6Gj89NNP+OOPP+Dh4QEjIyPk5eXxWopaAGP48OGYO3cuJk2ahClTpvBTEnfv3g0fHx9ER0fzL8/6NJs6bXjv3r0wMTHB4sWLkZGRgeDgYPTq1QvJycmIjY2Fr68vhg8fzmd+y6v57NkzTJgwAXFxcYJjubi4YNCgQbCwsMDUqVP5AbmE+nQbu0q35LMXL16EiYkJ30mQfikvXLgQpqamfKBGnt9UkomzZ8+eOhnhx44dg46ODn/uDZnZ8lxHs2fPRlBQEK5cuYLJkyfD1dUVgwYNwrp16+pkzFZXV9ep4/raa681OuJfXl5eJ3t937590NbW5kvm2Nvbw8PDA/n5+UhJSYGDgwPCwsJknjEiTXZ2Nvz8/BAYGAg3Nzc4ODjg5s2b/N/PnTsHjuPwyy+/4OjRowrpjKmKpli6ytZUdgBIjAx46XstNjYWvXv3hpmZGXR0dBAdHc3fwxIzvX379oLyFfLy0UcfwdDQEKGhoYiMjATHcdi2bRuAmoUbW7VqBRcXF1hYWMDa2loh15GqaIqlqyxNsQNA0ijTuE9KSuID4O+88w709fWhpaWFjRs38vsUFhbCy8sLS5YskUtLcq6ZmZkAarIBDx8+DAsLC7i6uiI4OBi5ubkICwvDoEGD5NJSNU2xdMVqqzKvWwnKzoCXUFxcjEmTJvEaP/30Ezp06IC4uDhERkZCW1sb+/fvr/M5eWZWL126FBYWFnUSiUpLS2FlZQVbW1scP368wUWPSVNcXbHaKo2yAkBiGPcEQSgPMtJbMOnp6Rg/fjwuXryInJwcjB079oVmem1TsLELsP366698BiQAxMTEoGvXrnj//ff5UiBAzUvByMgIH3zwAf9/CStWrICOjk6jzeV79+4Jjv3xxx/DwsICbm5uWL9+vWDfWbNmoU+fPnVMyxUrVkBXV7dJmtKZxmPHjoWVlRX8/f3RtWtXZGdn839LSEhAjx496kz7bKomUDPN9Nq1a8jPzxd0FkJCQtCzZ0/Ex8dj/fr16Ny5M95++23+74pcpdvT0xP9+vXjp5tLdwhcXV0RERFR5zNNbavk93nei3/06NGwsbFpsCyNJNO/qYERyXd1+PBhBAUFoaCgAEBN9uyiRYvAcRz8/PwQHR2N4uLiOuVimhoc2blzJ8LDw2Fvb4+4uDjB3yZPnoyRI0fCzMwMbm5ugmyLvLw8/lwVZaYPHjy4TpCiuroa586dg7m5uaDuv6LMXlXQFEu3uTXFDgApOwNewoIFC6Cvr4+zZ88CAOLi4sBxHN577z3+efDw4UNERETA09NTxtbVIDnfH374Ad27d0d6ejqA/0pkSJfzOnz4MKKiojB79mz+t5RlkKgqmmLpKltTjACQGMZ9bcrKyqCtrY3o6GgANQb+oEGDYGRkhMrKSpSUlKCwsBD+/v5wdXWV+xqqrq5GWloaOI7Dzp07eQNDYjoOGTIExsbG8PX1BcdxjU5kUGVNVWsroLzrVrqdgPIy4OvTzMjIwLVr15CZmQkTExMkJCQAqJmtw3EcOI6rU1KnKdy/fx+3b9/GxYsXUVJSgqKiIhgZGcHDw4MfS0nO5dChQ1BTU4OZmZlgPEuaLUtXrLZKUEYAqDZizNwgCKL5ISO9BSI9eMrJyeH/nZWVxWemS2eYl5aWCgxpoGkLsJ08eRIcx+Htt98W1NtNTEzEL7/8IjivsrIyuLq6YsaMGYJjbNmyBW3btm20CblhwwZ4enoiPT1dcO4DBw4Ex3GIiYkRbN+3bx8GDhyIx48f89v279+PVq1aNXo6orSmtIlUWFiIn3/+Gba2toLyJidPnoStra1gNe2magL/1ZxfsGABgP9+30uXLmH69OmC33j37t3gOE5g6AM1v0VTzOWTJ08iPj4ey5cv502jO3fuwNDQEEOGDKlzvcTExGDkyJGCbbt27ULr1q0b3dbk5GR8+OGHdY4N/NfmtLQ09O7dG4cOHQJQ11hYsWJFk8xs6XtFupPj4uKCESNG8P+3t7eHm5sbvv32W5ibm0NbWxtLly7l/75q1aomfb8S0z0mJgbR0dFo1aoV3ykDalaYb9WqFcLCwvjARW0UaT5cv34dvr6+8Pf3x6lTp/jtQUFB8PT0bJaMBlXRFEu3uTTFDgApOwNewo0bN/Dmm29i9+7dAGqetbq6uoiOjoaWlhbGjRvHL2z8+PFjmbUOHDggeI8sWbIEY8aMAVAzrVdLS4ufVl9UVFTv+h9NHTypiqZYumK1VYKyAkBiz9yQPoelS5fCw8MDWVlZqKysxIEDB2BmZoZu3brB1tYWzs7OcHR05A1SeUxJCSNGjICenh527drFz4iUsHHjRkycOBGDBg1SiJaqaYqlqyxNsa5bMTLg161bh/379wueaZs3b4a7uzv/Dj1y5AjeeecdrF69WuZn3+bNm+Hh4YFu3bqB4zj07NkTCxYs4APxAwYMECQm7d27F1FRUXjvvfdk/l5VRVOV2ipGAEgaMYx7giCUAxnpLZDaLwvph6n0AmySh7y/vz9+/PFHfp+mLsCWmpqK1q1bw8vLC6NGjWpwUdFHjx7Bw8MDq1ev5s+turoaixcvxoEDBxqlt3HjRrRt2xaJiYl8p0vCvXv34OTkBB0dHSQmJuLWrVt48OAB/Pz8EB4eLtj37NmzOHPmjNyaQM3L2sLCgs+SLy8vh7+/PwIDAwWDy6ZoAv8tuOnm5gZDQ8M6dcglprNEY+vWrYLOKFCT2datW7dGZ8ysXbsWXbp0gaenJ0xMTBAaGsp3tM+ePYuePXvC3d0dly5dwsOHD/Hs2TO4ubkhKipKcC47duxodEdi1apVggVqpY9TG0dHR4SEhNT7t5iYmCZlotfuaEhMutOnTyMgIABnz56FjY0NPDw8eEO7qqoKS5Ys4e+zTZs2geO4Rt8va9asgYaGhqD++9tvv42EhARBqYnBgwdj2LBhjW6LvEhKggQEBOD06dMIDw9Hnz59mnV6oKpoiqWraE2xAkBiZ8ADQElJCTZs2IDi4mKcPXsWBgYGWLZsGYCaKbccxyE8PFwwY6mpbX38+DEsLCxgZGSER48eAagpnRUSEoIdO3ZAW1sby5cv5/dPSkrCxIkT630nkWbL0BWrrRKUFQCSRoyZG7U5f/48evXqhTVr1gCo6Rc/efIES5cuxdKlSwW12Jtq1D148EDwf+nPjxw5Ejo6Oti1a1edpICysjKZMwVVRVMsXWVrinHd1kaZGfASKioqYGpqChsbGxw/fpw/ZnJyMjQ1NXHmzBmUlJQgODgYU6dOFXyuKaxfvx5t2rRBYmIijh49ilOnTmHMmDFQU1PD+PHjUVBQAFNTU7i7uyMtLQ05OTkICQnhS9sATQ9SqIqmqrVVgrICQGIb9wRBKA8y0lsQO3bswDvvvIOBAwdizpw5goUhpR/o165dw3vvvYfXXnsN5ubm6NatG//33NzcJi3AJvnM6NGjkZqaCgcHB0RGRvJZ2JKXVnl5Of7++28EBgbCycmp3lrljSE/Px/9+vXjB56FhYU4ceIEDh06hCtXrgCoMZf9/PxgZmaG9u3bo1+/frC3t5fZPGpIU1JCoKqqCsbGxjAxMUFAQAAGDhwIOzs7ubJGVq1ahVatWmH37t3Izc2FqakpVqxYITie9PdXXl6O4OBgjBo1SrD96tWrDQY3pDl8+DBee+013nT/+eef0blzZ0HWe2ZmJmxsbGBsbAxjY2P0798fFhYWMq+ALjGWJdecZKBSu3SK5PgSI0CygIys7NmzB2PGjMHIkSN5Q0zC7du34ezsDDU1NQQHB+P+/fsA6jfe9+/fX282QH0cP34cHMdh7ty5gu22trawsbGBtrY2nJyckJKSgtTUVDg7OwtmeTQ32dnZCAwMhIaGBvr27ctfv805PVBVNMXSVZSmWAEgMTLgn/eOkJjkM2fOxLBhw/hgwVdffYWIiAjB4k6ycuXKFfTv3x9mZmZ4+PAh0tPTYWdnhzZt2ggWhn3y5AkCAwMxbdo0uYMFqqIplq5YbQWUEwCSRlnG/cmTJwXPsP3799cxEiRrKdQurydNU/tmp06dgqenZ53+h/RxJMZrWloaH5yXpqm/rapoiqWrTE2xrtvaKCsDvr77++nTp3BxcYGjoyOOHj2Kqqoq5OfnIyIiAhoaGujTpw8sLS1lHlP8+eefMDExQWpqqmD7gwcPsHz5cqirq+PTTz9FaWkp3Nzc0KNHD3Tv3h39+vXj29lUVEVT1doqQVkBIGmUZdwTBCEeZKS3EFJSUqCpqYnJkydj+vTp6Nq1K7y9vQXZgtIP2bNnz6JNmzZwc3OrYzA3dgE2oKaDc+PGDRgbG6OoqAipqalwcXHBO++8Ax0dHcTExKCqqgopKSmwt7eHk5OTXOby7du3YWtri+LiYly5cgXm5uZwdHSEnp4erK2tBZld6enp2L59Ow4ePChXBkdjNUtLSzFp0iRMnjwZ8+bN47Vk0VyzZg04juNNq8rKSgwZMgQDBw7k95F0LktLS/Hbb78hODhY0PmUZUGeWbNm1al17unpibi4OCxYsEAwc2HLli1YtmwZ1q5dK3NbDx48CI7jMGfOHAA1pt/48ePh7u6Ofv36YfPmzXWm016+fBnvvvuuXIN9SSmWcePGYejQoTA2Nq5Tgmbr1q3o2LGjoCxGfTSlk5+dnQ0PDw+EhITw9frCw8NhamqK1NRUHDhwAJaWlrC3t8ehQ4fQunVrgdGiDDIyMjBt2jS5rl/SbFm68mqKFQASIwNeev9t27YhLi4OsbGx/CLOVVVVCA0Nha+vL4Aacz0kJESwwLAszybJZyoqKpCbmwsnJye4u7ujqKgIs2fPRrdu3TB//nxcvnwZZ8+ehZ+fH+zs7GQ2G1RJU1XaKmYASIIyjPvZs2djwIAB/PeTlZUFc3NzGBgYYNy4cUhPT8ezZ89w9+5duLi4IDk5GYBinrWZmZkYNGgQAgMDBaULAWGfNjIyEp06dcKWLVvqNV5Js+XoKktTzOtW7Ax46SA3UGOm9+/fH3Z2dnwAIz8/H2lpaUhOTpZL88cff4StrS3u3btXJ+moqKgIM2fOhK6uLm7evInHjx/jl19+weHDh0mzBesqW1OMAJA0Yhj3BEEoHzLSRaa6uhpFRUXw9vbGokWL+O3Z2dmIjIyEi4uLoJZzdXU1iouL8cYbb6Bv374CY0WegWJwcDAuXLgAoMZgbd++Pbp3787Xsr5+/Tq+//57uc2ja9euoUuXLjh69CiCgoIQExODu3fvIj09HTNmzED37t35TKjayJrBIYbmb7/9xpvWku/qt99+g56eHlJSUgT7pqenw8/PDz4+PnLXTfziiy/g6OjIz2YICQlBp06dMGzYMAQEBKBTp05ISkqq97OyaB4/fhzm5uaYNGkSkpOTYWRkhDFjxuCDDz7A1KlTwXEc5s+fD+C/MkDyaq5duxbq6urYtWsXAODu3btwdXXFrl27BIP7/Px8eHt747vvvuP1FYGk3EZgYCDc3Nzg4OCAmzdv8n8/d+4cOI7DL7/8gqNHj4raMRJDW1U0xdKVRVOMAJDYJZA++ugjGBoaIjQ0FJGRkeA4Dtu2bQNQU/O6VatWcHFxgYWFBaytrWX+LaVLCkibM35+fuA4Di4uLigqKsKnn34KR0dHfps8z3tV0VSltooRABLTuJfcb5mZmQBqEh4OHz4MCwsLuLq6Ijg4GLm5uQgLC8OgQYPk0qqN5B3u6+tbZx0g6d+tV69edUoKkmbL1FWWprKvWzEy4Gv305cuXQoLCwtB7WqgJgnIysoKtra2OH78eJ13qKzjmDlz5kBfX/+555OZmQkNDY062c2k2XJ1xWqrsgJAYhv3BEGIAxnpLYDKykpYW1vzWb2Sh+mtW7fw7rvvYtCgQbyhDdRMkXrvvfcUWlYgKCgIGzZsQHV1Nezs7GBubg57e3uMGTOGX2Va+nxl5d9//0VgYCCmT58OHx8fXLx4kf9bXl4eAgMDERsbC0BxxqcYmvVRUFAAT09PjBs3TqBVWVmJCxcuCLLfZCUrKwuurq7o2bMnBg4ciK5duyIjIwNATU3T0aNHIzQ0FE+fPpXrdzx//jzS0tKQlZWFs2fPwtHREa+99ho++ugjgfGQmJgITU1N/PXXXzJrSZOWlgaO4+qUcrGzs4OzszOMjIwwdOhQ/PHHHwBqaq7r6OjUyYqXl+zsbAwePBg6Ojp8GR1JoODcuXMwNzfH6dOn+f0py4AQG2UGgMTKgJc8Q3/44Qd0794d6enpAGrWwOA4Dps3b+b3PXz4MKKiojB79my+rYoqEzFs2DBYW1vjyJEj/PT6R48eoaysDKdOncKtW7dkft6riqaqtVWCsgJAYs/cqK6u5t/nO3fu5PuzxcXF2L59O4YMGQJjY2P4+vqC47hGrxHTWKSNV+l3NVDTLwwODkZsbKxCF75UFU2xdJtTU4zrVqwM+Pv37+P27du4ePEiSkpKUFRUBCMjI3h4ePBmuuScDh06BDU1NZiZmfFBenlJTU1Fu3btcPDgwXr/XlFRAQMDA/65SJotX1cZmmIHgADlztwgCEJ8yEgXmaqqKpSUlCAoKAhjxoxBZWUlqqur+U7b9evXYWtri7Fjx9b7eXkfvpIXz/z58xEbGwtnZ2cMHDgQlZWV2LlzJ3r16oV58+bJpVGbX3/9lV9co/Y0zFGjRmHUqFEK1RNLsz42btwINTU1frBaG0UY+Xfu3MGZM2cwffp0TJkyRfC3mJgYfmAsK5s2bYKdnR2CgoLw2WefAagZ4E+YMIE37SXk5OSgY8eOz834byqpqanQ1tbGJ598gry8PABAWFgYevfujeXLl2PFihXo1asX3NzcANTUex02bJjCB4lAzb3p6+sLf39/QfmYoKAgeHp60orrRItDWQEgZWfAHzhwQLCQ85IlSzBmzBgANWuPaGlpYdWqVQBqphHfunULgPB5K0tbJSUFAgIC+OBdREQELC0t+UVUr169Cjs7O9ja2tZZEE+WZ4SqaIqlK4amsgNA0ijLuH8eI0aMgJ6eHnbt2lUn4L1x40ZMnDgRgwYNapZ3eH1ZzPfv38fAgQNhZGQk9wxBVdYUS1dZmsq6bpWdAb9582Z4eHigW7du4DgOPXv2xIIFC1BYWIjevXtjwIABAmNy7969iIqKwnvvvaew3/HGjRvQ0dFBREQE/64G/vvNbty4gX79+iE2Nhbp6em4c+cOabZwXWVoKjsA1BKMe4IgxIWMdJGQLkEB1AxY1NTUkJiYyG+TPFwlRkBeXl6zPXAlAzZPT09+YUYAOHr0aLNonjp1iq+1KXnpPH36FEOGDKmTxfgya9bmn3/+gZubG6ZPn97sL885c+Zg/Pjx/CC9rKwMfn5+mD59uszHTE5ORtu2bbF161Y8evRI8Le7d+/y/5Z0MC5cuAB7e3uFZaoANR397t2748MPP4Svry9sbGwEU1p3794NjuNw+vRpwXfcnAPxgIAAnD59GuHh4ejTp4/MC+MSRHOjrACQsjLgHz9+DAsLCxgZGfHPpIULFyIkJAQ7duyAtra2YO2NpKQkTJw4kV/sSV6k2+nu7g57e3tBO4GaGvc9e/ZEZGQkab4EusrSFCsAJIZxXzvgIH3ekoUgd+3axS9WLqGsrIzvTzRH1p7kt/b398eePXvg4+MDc3PzZl1IWlU0xdJVpKZY160YGfDr169HmzZtkJiYiKNHj+LUqVMYM2YM1NTUMH78eBQUFMDU1BTu7u5IS0tDTk4OQkJCsHDhQv4Yiupnb9myBZqamhg5cqQg8ai0tBS+vr5o06YNevbsiVGjRmHv3r2k+RLoNqemGAEgsWduEAQhPmSki8COHTswc+ZMgWEN1NSfVFNTw+rVqwXb9+zZAwcHhzrGpSIpKytDWloaCgoKANSNtDaXmW5kZAQzMzOEhITA1dW1WTKexNaszaeffooOHTqgqKioWXX++OMPaGlpYcaMGfjuu+8QEBAAGxsbmeuxXb58GZaWlvyiRhKeZ7xJSurIW0/13r17uHTpEpKSkvgSMXv37oWenh50dHRw/Phxwf4HDhyAmZkZrly5IrNmU8jOzkZgYCA0NDTQt2/fZh+YEoS8KCsApKwM+CtXrqB///4wMzPDw4cPkZ6eDjs7O7Rp00aQ6f7kyRMEBgZi2rRpCq1HWV87AeH3mJubq/DMS1XQFEu3uTXFCACJZdw/r1yO9HcnMSXT0tLqXQiyOevHZmdnIyAgABzHKcVcViVNsXQVodmSrtvmzoD/888/YWJiUqdG9YMHD7B8+XKoq6vj008/RWlpKdzc3NCjRw90794d/fr1479bRVJRUYE1a9agdevW6NGjBwICAjBy5Eh4eHjAwcEBDx8+xJMnTxQWEFclTbF0m0tTjABQS5i5QRCE+JCRrmQkmQUcx2HGjBmCelolJSWYN28eOI7Dxx9/jIMHDyI7Oxu+vr7w8fF5JReiyMnJQXx8PCZOnIiFCxcqZKpyS9QE/utQ37x5s9nKjdTm5MmTsLOzg4uLC95991252nrw4EH07t0bWVlZ9V6Lkm3V1dVYvXo1Bg0aBFtbW7nMuR9++AEBAQHo2rUrOnToAE1NTYSEhCA3NxenT5+Gvr4+oqOjkZWVxX8mODgY/v7+Ss0Gz8jIwLRp0+RejJcglIWyAkDNmQEvXZM6NzcXTk5OcHd3R1FREWbPno1u3bph/vz5uHz5Ms6ePQs/Pz/Y2dk1y+JO0u2UDg7Ubp8in/uqoimWbnNrKjMAJObMDUm5nMDAwDql9aS/u8jISHTq1Albtmyp15RsTsR4h6uKpli68mqKcd2KlQH/448/wtbWFvfu3ePbJjleUVERZs6cCV1dXdy8eROPHz/GL7/8gsOHDzd7jefz588jKioKXl5eGD16NBYuXNjsgTZV0RRLV5GaYgSAWtLMDYIgxIWMdCWSn5+PoUOHIi4uDuvXr+cN88LCQsF+27Ztw+uvvw59fX2Ym5vD1dVVpUpFiPGCUaam9G+oDN2SkhI8ffpU7unRCxYsQKdOnfj/19fJuXr1Kn7++WekpqbinXfekWvQtHr1anTs2BHfffcdjhw5gkePHmHevHno06cP+vTpg5ycHOzfvx/dunVDTEwMsrOzERwcjNdff13U+4VMdOJlQVnmhqIz4KXNBukBmJ+fHziOg4uLC4qKivDpp5/C0dGR3+bj49Ns9YCB/9rp5+dXx3hpLlRFUyzd5tAUKwAk5syN+mpXAzVtkb4Xe/XqhfDwcIVoyooY73BV0RRLV571PpR13YqZAT9nzhzo6+s/9ziZmZnQ0NCoY1jWPj9lQZqvnq4smsoOALW0mRsEQYgLGelKpKSkBCtXruQ7Sdu2bXuumX7v3j1kZGTg3LlzgkEXQciDPIPi7du3o23bts9ddR0APvvsM0yYMEHu2uSrV69G69at8cMPP9R7HlZWVvDw8EB5eTm2bduGXr16QUdHBxYWFlRahSBkQBnT+xWRAf88s2HYsGGwtrbGkSNHYGtrC2dnZzx69AhlZWU4deoUbt26pZR3qaSd/fr1w8WLF5tNRxU1xdJVlKZYAaCWMnND2pSUzvAHgLy8PAQHByM2Npay9YgWhbKuWzFnbqSmpqJdu3bP7d9XVFTAwMCAX4hYmYgxG1tVNMXSVZSmsgNALXXmBkEQ4kBGupKpvcjo1q1bwXEcPvroI36Q9ejRozr1nVUhE51o2Txv1XVJJ6K4uBjh4eFISEiQS+f48ePgOI5fALa6uhrV1dWCDsiyZcugqamJnTt3AqiZaufr60ulVQiiBaOIDHiJ2RAQEIA//vgDABAREQFLS0vcvn0bQM3MGDs7O9ja2taZKq+Md+nVq1fxwQcfKPW9rSqaYunKqylGAKglztyoL8P3/v37GDhwIIyMjJp1xghByIqyrluxZm48r38v0bxx4wb69euH2NhYpKen486dOwrTJghZUXYA6GWbuUEQRPNCRrpISBZcA/4z0z/55BNcuXIF3t7emDRpkshnSBB12bp1K7/q+p9//slvz8/Ph7+/P9zc3OQ2sbOzs+Hh4YGhQ4cKaioDQhPM2tq63vuETHSCaPnIc59KzIbAwEC4u7vD3t4eN2/eFOyTkZGBnj17IjIyUs4zlQ8xguCqoimWriyayg4AteSZG5L719/fH3v27IGPj49SF78kCFlQ1nUr1syNLVu28P37c+fO8dtLS0vh6+uLNm3aoGfPnhg1ahT27t2rUG2CkAVlB4Ba8swNgiCUDwcAjBAF1AQymJqaGtu+fTuLjIxk7du3Z126dGFXrlxhGhoaYp8iQQioqqpiGzZsYFFRUUxfX59ZWVmx6upqVlxczKqrq9mZM2eYhoYGq6qqYq1atZJZ59q1a2z69OkMAJs5cyZzd3dnjNXcMxzHscePHzNHR0c2evRoNmvWLEU1jyCIl4Rr166xqKgo9vvvv7M1a9awN998kzHGWHV1NVNTU2OMMXbr1i3Ws2dPuZ5FBKEoJO+1Vq1aseLiYvb06VO2a9cuZmRkxO+TmZnJfHx82KBBg9imTZtk1srKymITJ05k7du3Z/PmzWOOjo5s2LBhLDMzk+3fv58ZGBiwjIwMNnLkSAaAHT16lL322mv856Xvo+bg2rVrLDo6mu3fv5+ZmZmxixcvMg0NDVZZWcnU1dWbTZcg5EFZ1610H3jWrFnMzc2NFRQUsOHDh7Pbt2+z7OxshfS1pamsrGRJSUlsypQprHPnzszW1pbp6uqyvLw89vTpU3bkyBGmoaHBqqurWYcOHRSiSRDysnXrVjZ27FgWERHBPvzwQ+bg4MAYY6ysrIyFhYWxkydPsk6dOjEvLy82YsQIFhgYKLNWTk4Oc3BwYIMHD2bx8fGsV69ejDHG34c5OTlsxIgRbMiQISw0NJR1796d9ejRQyHtJAii5UFGushIjEHGGDMxMWHdu3dnx48fZ+rq6jSgIFosFy5cYOvXr2dZWVnMwMCA2dvbs0mTJrFWrVop7LqtbyAhuV8uXLjAYmJiWGxsLPPx8RHcRwRBqAY3btxgU6ZMYWpqaiw2NpYPuNU2ARVpNhCEPCgzAKRM414WMjMz2fLly1l8fDz1eYmXBmVdt5L7l+M4NnnyZLZ06VJ2586dZg86Xbhwga1Zs4ZlZGQwAwMDZm5uzj744APWunVrwX7U7yZaAsoOACnTuCcIomVDRnoLoLS0lA0dOpRdvXqV3bp1iwYUxEuLog0raTP9888/Zx4eHqyyspINHTqUqampsR9//LFZs+YIgmjZSJ4RjDE2c+ZM5ubmJvIZEUTDKDMA9LLM3KA+L/Ey0tzXbUuauUEBaaIlo6wAEM3cIAhCAhnpLYCKigqWlpbGwsLCaGor8dKgrGwUiVEmMR3i4+NZZmYmu3DhAt9ZITOdIFSXa9eusZiYGFZQUMDWrVvHbGxsxD4lgmgQZQaAaOYGQby8iDFzg7LNiVeF5nqv0cwNgiDISG9hkIlOEHWRGGWHDh1ixsbG7K+//qKgE0EQPBkZGWzt2rXs22+/pcAa8VKgzAAQzdwgiJcf6vMSxPNpCaY1BaQJQnUgI50giJcCqqdKEERjoFkqxMuCMgNANHODIAiCIBRDSzDuCYIQDzLSCYJ46SATnSAIgniVUEYAiGZuEARBEARBEIR8kJFOEARBEARBECoEzdwgCIIgCIIgiKZDRjpBEARBEARBEARBEARBEARBNAClohAEQRAEQRAEQRAEQRAEQRBEA5CRThAEQRAEQRAEQRAEQRAEQRANQEY6QRAEQRAEQRAEQRAEQRAEQTQAGekEQRAEQRAEQRAEQRAEQRAE0QBkpBMEQRAEQRAEQRAEQRAEQRBEA5CRThAEQRAEQRAEQRAEQRAEQRANQEY6QRAEQRAEQTQzHMex3bt3i30aBEEQBEEQBEHICBnpBEEQBEEQxCvB33//zSZPnsx69erFNDU1WdeuXZmvry87c+aM2KdGEARBEARBEMRLjrrYJ0AQBEEQBEEQiiAiIoI9e/aMJScnM2NjY1ZQUMCOHj3K/vnnH7FPjSAIgiAIgiCIlxzKSCcIgiAIgiBeeoqKitjp06fZ119/zby8vJihoSFzcnJin332GQsJCWGMMRYfH8+sra1Z+/btmYGBAYuKimIlJSX8MZKSkpiuri7bu3cv69u3L2vXrh0bNmwYKy0tZcnJyczIyIh17NiRTZ8+nVVVVfGfMzIyYnFxceztt99m7du3Zz169GCJiYkNnm9eXh4bPnw409XVZXp6emzo0KEsNze3Wb4bgiAIgiAIgiDkh4x0giAIgiAI4qVHS0uLaWlpsd27d7Py8vJ691FTU2MJCQnsypUrLDk5mR07dox98skngn1KS0tZQkIC27ZtGztw4AA7ceIECwsLY/v27WP79u1jKSkpbNWqVWznzp2Cz3377bfM1taWnT9/ns2YMYO9//777PDhw/WeR0VFBfP19WXa2trs9OnT7MyZM0xLS4v5+fmxZ8+eKeYLIQiCIAiCIAhCoXAAIPZJEARBEARBEIS8/PDDD2zChAmsrKyMOTg4sEGDBrG33nqL2djY1Lv/zp072aRJk9iDBw8YYzUZ6WPHjmXXr19nJiYmjDHGJk2axFJSUlhBQQHT0tJijDHm5+fHjIyM2MqVKxljNRnp5ubmbP/+/fyx33rrLfb48WO2b98+xljNYqNpaWksNDSUbdq0iX355ZcsIyODcRzHGGPs2bNnTFdXl+3evZsNGTKkeb4ggiAIgiAIgiBkhjLSCYIgCIIgiFeCiIgIdvfuXbZnzx7m5+fHTpw4wRwcHFhSUhJjjLEjR44wb29v1qNHD6atrc1GjRrF/vnnH1ZaWsofo127dryJzhhj+vr6zMjIiDfRJdsKCwsF2q6urnX+n5GRUe95Xrx4kV2/fp1pa2vzmfR6enrs33//ZTdu3JD3ayAIgiAIgiAIohmgxUYJgiAIgiCIV4Y2bdowHx8f5uPjw2bNmsXGjx/PZs+ezTw9PVlQUBCbPHkymz9/PtPT02O//PILGzduHHv27Blr164dY4wxDQ0NwfE4jqt3W3V1tcznWFJSwhwdHdnmzZvr/K1z584yH5cgCIIgCIIgiOaDjHSCIAiCIAjilcXCwoLt3r2bnTt3jlVXV7Pvv/+eqanVTMrcvn27wnT+7//+r87/zc3N693XwcGBpaamsi5durAOHToo7BwIgiAIgiAIgmg+qLQLQRAEQRAE8dLzzz//sDfeeINt2rSJXbp0id28eZPt2LGDffPNN2zo0KHM1NSUVVRUsKVLl7KcnByWkpLC1zhXBGfOnGHffPMNy87OZomJiWzHjh3s/fffr3ffyMhI1qlTJzZ06FB2+vRpdvPmTXbixAk2ffp0dufOHYWdE0EQBEEQBEEQioMy0gmCIAiCIIiXHi0tLebs7MwWLVrEbty4wSoqKpiBgQGbMGECi42NZW3btmXx8fHs66+/Zp999hkbOHAgW7hwIRs9erRC9D/88EP2xx9/sLlz57IOHTqw+Ph45uvrW+++7dq1Y6dOnWKffvopCw8PZ0+ePGE9evRg3t7elKFOEARBEARBEC0UDgDEPgmCIAiCIAiCeFkxMjJi0dHRLDo6WuxTIQiCIAiCIAiimaDSLgRBEARBEARBEARBEARBEATRAGSkEwRBEARBEARBEARBEARBEEQDUGkXgiAIgiAIgiAIgiAIgiAIgmgAykgnCIIgCIIgCIIgCIIgCIIgiAYgI50gCIIgCIIgCIIgCIIgCIIgGoCMdIIgCIIgCIIgCIIgCIIgCIJoADLSCYIgCIIgCIIgCIIgCIIgCKIByEgnCIIgCIIgCIIgCIIgCIIgiAYgI50gCIIgCIIgCIIgCIIgCIIgGoCMdIIgCIIgCIIgCIIgCIIgCIJoADLSCYIgCIIgCIIgCIIgCIIgCKIByEgnCIIgCIIgCIIgCIIgCIIgiAb4f/Z2bLpReRBOAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pr.pl.proteoform_intensities(\n",
    "    adata,\n",
    "    protein_ids=\"Q9JKS4\",\n",
    "    order_by=\"tissue\",\n",
    "    order=adata.uns[\"order_tissue\"],\n",
    "    xlab_rotation=45,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ac856b5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "protein_id",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "peptide_id",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cluster_id",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "proteoform_score",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "proteoform_score_pval",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "proteoform_score_pval_adj",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "is_proteoform",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "ref": "1f22b8a1-65ba-4aaa-abf7-1d74780992cd",
       "rows": [
        [
         "0",
         "Q9JKS4",
         "QYNNPIGLYSAETLR",
         "0.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "1",
         "Q9JKS4",
         "ASSEGAQGSVSPK",
         "0.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "2",
         "Q9JKS4",
         "VLPGPSQPR",
         "0.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "3",
         "Q9JKS4",
         "EMAQMYQMSLR",
         "0.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "4",
         "Q9JKS4",
         "ILAQMTGTEYMQDPDEEALRR",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "5",
         "Q9JKS4",
         "IMGEVMHALR",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "6",
         "Q9JKS4",
         "QTWHTTCFVCAACK",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "7",
         "Q9JKS4",
         "SKRPIPISTTAPPIQSPLPVIPHQK",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "8",
         "Q9JKS4",
         "SASYNLSLTLQK",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "9",
         "Q9JKS4",
         "SWHPEEFNCAYCK",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "10",
         "Q9JKS4",
         "ASGAGLLGGSLPVKDLAVDSASPVYQAVIK",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "11",
         "Q9JKS4",
         "TPLCGHCNNVIR",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "12",
         "Q9JKS4",
         "TQSKPEDEADEWARR",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "13",
         "Q9JKS4",
         "TSLADVCFVEEQNNVYCER",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "14",
         "Q9JKS4",
         "AAQSQLSQGDLVVAIDGVNTDTMTHLEAQNK",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "15",
         "Q9JKS4",
         "CYEQFFAPICAK",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "16",
         "Q9JKS4",
         "LQGGKDFNMPLTISR",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "17",
         "Q9JKS4",
         "GAPAYNPTGPQVTPLAR",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ],
        [
         "18",
         "Q9JKS4",
         "GPFLVAMGR",
         "1.0",
         "0.5298133392013425",
         "0.0027711223769781856",
         "0.0629935497480934",
         "1.0"
        ]
       ],
       "shape": {
        "columns": 7,
        "rows": 19
       }
      },
      "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>protein_id</th>\n",
       "      <th>peptide_id</th>\n",
       "      <th>cluster_id</th>\n",
       "      <th>proteoform_score</th>\n",
       "      <th>proteoform_score_pval</th>\n",
       "      <th>proteoform_score_pval_adj</th>\n",
       "      <th>is_proteoform</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>QYNNPIGLYSAETLR</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>ASSEGAQGSVSPK</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>VLPGPSQPR</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>EMAQMYQMSLR</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>ILAQMTGTEYMQDPDEEALRR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>IMGEVMHALR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>QTWHTTCFVCAACK</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>SKRPIPISTTAPPIQSPLPVIPHQK</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>SASYNLSLTLQK</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>SWHPEEFNCAYCK</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>ASGAGLLGGSLPVKDLAVDSASPVYQAVIK</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>TPLCGHCNNVIR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>TQSKPEDEADEWARR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>TSLADVCFVEEQNNVYCER</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>AAQSQLSQGDLVVAIDGVNTDTMTHLEAQNK</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>CYEQFFAPICAK</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>LQGGKDFNMPLTISR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>GAPAYNPTGPQVTPLAR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Q9JKS4</td>\n",
       "      <td>GPFLVAMGR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.529813</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.062994</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   protein_id                       peptide_id  cluster_id  proteoform_score  \\\n",
       "0      Q9JKS4                  QYNNPIGLYSAETLR         0.0          0.529813   \n",
       "1      Q9JKS4                    ASSEGAQGSVSPK         0.0          0.529813   \n",
       "2      Q9JKS4                        VLPGPSQPR         0.0          0.529813   \n",
       "3      Q9JKS4                      EMAQMYQMSLR         0.0          0.529813   \n",
       "4      Q9JKS4            ILAQMTGTEYMQDPDEEALRR         1.0          0.529813   \n",
       "5      Q9JKS4                       IMGEVMHALR         1.0          0.529813   \n",
       "6      Q9JKS4                   QTWHTTCFVCAACK         1.0          0.529813   \n",
       "7      Q9JKS4        SKRPIPISTTAPPIQSPLPVIPHQK         1.0          0.529813   \n",
       "8      Q9JKS4                     SASYNLSLTLQK         1.0          0.529813   \n",
       "9      Q9JKS4                    SWHPEEFNCAYCK         1.0          0.529813   \n",
       "10     Q9JKS4   ASGAGLLGGSLPVKDLAVDSASPVYQAVIK         1.0          0.529813   \n",
       "11     Q9JKS4                     TPLCGHCNNVIR         1.0          0.529813   \n",
       "12     Q9JKS4                  TQSKPEDEADEWARR         1.0          0.529813   \n",
       "13     Q9JKS4              TSLADVCFVEEQNNVYCER         1.0          0.529813   \n",
       "14     Q9JKS4  AAQSQLSQGDLVVAIDGVNTDTMTHLEAQNK         1.0          0.529813   \n",
       "15     Q9JKS4                     CYEQFFAPICAK         1.0          0.529813   \n",
       "16     Q9JKS4                  LQGGKDFNMPLTISR         1.0          0.529813   \n",
       "17     Q9JKS4                GAPAYNPTGPQVTPLAR         1.0          0.529813   \n",
       "18     Q9JKS4                        GPFLVAMGR         1.0          0.529813   \n",
       "\n",
       "    proteoform_score_pval  proteoform_score_pval_adj  is_proteoform  \n",
       "0                0.002771                   0.062994            1.0  \n",
       "1                0.002771                   0.062994            1.0  \n",
       "2                0.002771                   0.062994            1.0  \n",
       "3                0.002771                   0.062994            1.0  \n",
       "4                0.002771                   0.062994            1.0  \n",
       "5                0.002771                   0.062994            1.0  \n",
       "6                0.002771                   0.062994            1.0  \n",
       "7                0.002771                   0.062994            1.0  \n",
       "8                0.002771                   0.062994            1.0  \n",
       "9                0.002771                   0.062994            1.0  \n",
       "10               0.002771                   0.062994            1.0  \n",
       "11               0.002771                   0.062994            1.0  \n",
       "12               0.002771                   0.062994            1.0  \n",
       "13               0.002771                   0.062994            1.0  \n",
       "14               0.002771                   0.062994            1.0  \n",
       "15               0.002771                   0.062994            1.0  \n",
       "16               0.002771                   0.062994            1.0  \n",
       "17               0.002771                   0.062994            1.0  \n",
       "18               0.002771                   0.062994            1.0  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr.get.proteoforms_df(adata, proteins=\"Q9JKS4\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34ca76a4",
   "metadata": {},
   "source": [
    "### Ldb3 peptide sequence map (reproduces Figure 7C)\n",
    "\n",
    "Mapping detected peptides onto the canonical protein sequence and annotated UniProt alternative sequences confirms that the two proteoform groups correspond to known splice variants."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "eeb34806",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'LIM domain binding protein 3 (Q9JKS4)'}, xlabel='Position'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Canonical sequence and UniProt alternative sequences for Q9JKS4\n",
    "# Source: https://www.uniprot.org/uniprotkb/Q9JKS4/entry#sequences\n",
    "seq = \"MSYSVTLTGPGPWGFRLQGGKDFNMPLTISRITPGSKAAQSQLSQGDLVVAIDGVNTDTMTHLEAQNKIKSASYNLSLTLQKSKRPIPISTTAPPIQSPLPVIPHQKDPALDTNGSLATPSPSPEARASPGALEFGDTFSSSFSQTSVCSPLMEASGPVLPLGSPVAKASSEGAQGSVSPKVLPGPSQPRQYNNPIGLYSAETLREMAQMYQMSLRGKASGAGLLGGSLPVKDLAVDSASPVYQAVIKTQSKPEDEADEWARRSSNLQSRSFRILAQMTGTEYMQDPDEEALRRSSTPIEHAPVCTSQATSPLLPASAQSPAAASPIAASPTLATAAATHAAAASAAGPAASPVENPRPQASAYSPAAAASPAPSAHTSYSEGPAAPAPKPRVVTTASIRPSVYQPVPASSYSPSPGANYSPTPYTPSPAPAYTPSPAPTYTPSPAPTYSPSPAPAYTPSPAPNYTPTPSAAYSGGPSESASRPPWVTDDSFSQKFAPGKSTTTVSKQTLPRGAPAYNPTGPQVTPLARGTFQRAERFPASSRTPLCGHCNNVIRGPFLVAMGRSWHPEEFNCAYCKTSLADVCFVEEQNNVYCERCYEQFFAPICAKCNTKIMGEVMHALRQTWHTTCFVCAACKKPFGNSLFHMEDGEPYCEKDYINLFSTKCHGCDFPVEAGDKFIEALGHTWHDTCFICAVCHVNLEGQPFYSKKDKPLCKKHAHAINV\"\n",
    "alt_seqs = {\n",
    "    \"Q9JKS4-2_0\": {\"seq_coord\": (107, 227), \"group\": \"alt_2\"},\n",
    "    \"Q9JKS4-3_0\": {\"seq_coord\": (295, 357), \"group\": \"alt_3\"},\n",
    "    \"Q9JKS4-4_0\": {\"seq_coord\": (107, 227), \"group\": \"alt_4\"},\n",
    "    \"Q9JKS4-4_1\": {\"seq_coord\": (295, 357), \"group\": \"alt_4\"},\n",
    "    \"Q9JKS4-5_0\": {\"seq_coord\": (295, 327), \"group\": \"alt_5\"},\n",
    "    \"Q9JKS4-5_1\": {\"seq_coord\": (328, 723), \"group\": \"alt_5\"},\n",
    "    \"Q9JKS4-6_0\": {\"seq_coord\": (107, 227), \"group\": \"alt_6\"},\n",
    "    \"Q9JKS4-6_1\": {\"seq_coord\": (295, 327), \"group\": \"alt_6\"},\n",
    "    \"Q9JKS4-6_2\": {\"seq_coord\": (328, 723), \"group\": \"alt_6\"},\n",
    "}\n",
    "\n",
    "pr.pl.peptides_on_prot_sequence(\n",
    "    adata,\n",
    "    protein_id=\"Q9JKS4\",\n",
    "    group_by=\"proteoform_id\",\n",
    "    ref_sequence=seq,\n",
    "    add_sequences=alt_seqs,\n",
    "    title=\"LIM domain binding protein 3 (Q9JKS4)\",\n",
    "    figsize=(8, 4),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a83f4ac5",
   "metadata": {},
   "source": [
    "### Sorbin and SH3 domain-containing protein 2 — Sorbs2 (Q3UTJ2)\n",
    "\n",
    "Sorbs2 peptides are assigned to two proteoform groups with distinct tissue expression patterns: one group is abundant across brain, heart, and liver, while the other is brain-specific (reproduces Figure 7D)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "fedaba5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pr.pl.proteoform_intensities(\n",
    "    adata,\n",
    "    protein_ids=\"Q3UTJ2\",\n",
    "    order_by=\"tissue\",\n",
    "    order=adata.uns[\"order_tissue\"],\n",
    "    xlab_rotation=45,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "89a8b435",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "protein_id",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "peptide_id",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cluster_id",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "proteoform_score",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "proteoform_score_pval",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "proteoform_score_pval_adj",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "is_proteoform",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "ref": "449eaf85-f88a-424c-a807-49b2620a646d",
       "rows": [
        [
         "0",
         "Q3UTJ2",
         "LAFLVSPVPFR",
         "0.0",
         "0.6196374661164469",
         "0.00034255468974286885",
         "0.0139298954256453",
         "1.0"
        ],
        [
         "1",
         "Q3UTJ2",
         "ASVVEALDSALKDICDQIK",
         "0.0",
         "0.6196374661164469",
         "0.00034255468974286885",
         "0.0139298954256453",
         "1.0"
        ],
        [
         "2",
         "Q3UTJ2",
         "QGIFPVSYVEVVKR",
         "1.0",
         "0.6196374661164469",
         "0.00034255468974286885",
         "0.0139298954256453",
         "1.0"
        ],
        [
         "3",
         "Q3UTJ2",
         "APHYPGIGPVDESGIPTAIR",
         "1.0",
         "0.6196374661164469",
         "0.00034255468974286885",
         "0.0139298954256453",
         "1.0"
        ],
        [
         "4",
         "Q3UTJ2",
         "SFISSSPSSPSR",
         "1.0",
         "0.6196374661164469",
         "0.00034255468974286885",
         "0.0139298954256453",
         "1.0"
        ],
        [
         "5",
         "Q3UTJ2",
         "SIFEYEPGK",
         "1.0",
         "0.6196374661164469",
         "0.00034255468974286885",
         "0.0139298954256453",
         "1.0"
        ],
        [
         "6",
         "Q3UTJ2",
         "AQPARPPPPVQPGEIGEAIAK",
         "1.0",
         "0.6196374661164469",
         "0.00034255468974286885",
         "0.0139298954256453",
         "1.0"
        ],
        [
         "7",
         "Q3UTJ2",
         "SYSSTLTDLGR",
         "1.0",
         "0.6196374661164469",
         "0.00034255468974286885",
         "0.0139298954256453",
         "1.0"
        ],
        [
         "8",
         "Q3UTJ2",
         "VGIFPISYVEK",
         "1.0",
         "0.6196374661164469",
         "0.00034255468974286885",
         "0.0139298954256453",
         "1.0"
        ],
        [
         "9",
         "Q3UTJ2",
         "ADLPGSSSTFTK",
         "1.0",
         "0.6196374661164469",
         "0.00034255468974286885",
         "0.0139298954256453",
         "1.0"
        ],
        [
         "10",
         "Q3UTJ2",
         "GLGDQSSSR",
         "1.0",
         "0.6196374661164469",
         "0.00034255468974286885",
         "0.0139298954256453",
         "1.0"
        ]
       ],
       "shape": {
        "columns": 7,
        "rows": 11
       }
      },
      "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",
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       "        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>protein_id</th>\n",
       "      <th>peptide_id</th>\n",
       "      <th>cluster_id</th>\n",
       "      <th>proteoform_score</th>\n",
       "      <th>proteoform_score_pval</th>\n",
       "      <th>proteoform_score_pval_adj</th>\n",
       "      <th>is_proteoform</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Q3UTJ2</td>\n",
       "      <td>LAFLVSPVPFR</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.619637</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.01393</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Q3UTJ2</td>\n",
       "      <td>ASVVEALDSALKDICDQIK</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.619637</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.01393</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Q3UTJ2</td>\n",
       "      <td>QGIFPVSYVEVVKR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.619637</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.01393</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Q3UTJ2</td>\n",
       "      <td>APHYPGIGPVDESGIPTAIR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.619637</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.01393</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Q3UTJ2</td>\n",
       "      <td>SFISSSPSSPSR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.619637</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.01393</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Q3UTJ2</td>\n",
       "      <td>SIFEYEPGK</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.619637</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.01393</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Q3UTJ2</td>\n",
       "      <td>AQPARPPPPVQPGEIGEAIAK</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.619637</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.01393</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Q3UTJ2</td>\n",
       "      <td>SYSSTLTDLGR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.619637</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.01393</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Q3UTJ2</td>\n",
       "      <td>VGIFPISYVEK</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.619637</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.01393</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Q3UTJ2</td>\n",
       "      <td>ADLPGSSSTFTK</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.619637</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.01393</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Q3UTJ2</td>\n",
       "      <td>GLGDQSSSR</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.619637</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.01393</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   protein_id             peptide_id  cluster_id  proteoform_score  \\\n",
       "0      Q3UTJ2            LAFLVSPVPFR         0.0          0.619637   \n",
       "1      Q3UTJ2    ASVVEALDSALKDICDQIK         0.0          0.619637   \n",
       "2      Q3UTJ2         QGIFPVSYVEVVKR         1.0          0.619637   \n",
       "3      Q3UTJ2   APHYPGIGPVDESGIPTAIR         1.0          0.619637   \n",
       "4      Q3UTJ2           SFISSSPSSPSR         1.0          0.619637   \n",
       "5      Q3UTJ2              SIFEYEPGK         1.0          0.619637   \n",
       "6      Q3UTJ2  AQPARPPPPVQPGEIGEAIAK         1.0          0.619637   \n",
       "7      Q3UTJ2            SYSSTLTDLGR         1.0          0.619637   \n",
       "8      Q3UTJ2            VGIFPISYVEK         1.0          0.619637   \n",
       "9      Q3UTJ2           ADLPGSSSTFTK         1.0          0.619637   \n",
       "10     Q3UTJ2              GLGDQSSSR         1.0          0.619637   \n",
       "\n",
       "    proteoform_score_pval  proteoform_score_pval_adj  is_proteoform  \n",
       "0                0.000343                    0.01393            1.0  \n",
       "1                0.000343                    0.01393            1.0  \n",
       "2                0.000343                    0.01393            1.0  \n",
       "3                0.000343                    0.01393            1.0  \n",
       "4                0.000343                    0.01393            1.0  \n",
       "5                0.000343                    0.01393            1.0  \n",
       "6                0.000343                    0.01393            1.0  \n",
       "7                0.000343                    0.01393            1.0  \n",
       "8                0.000343                    0.01393            1.0  \n",
       "9                0.000343                    0.01393            1.0  \n",
       "10               0.000343                    0.01393            1.0  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr.get.proteoforms_df(adata, proteins=\"Q3UTJ2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "578c4daf",
   "metadata": {},
   "source": [
    "### Sorbs2 peptide sequence map (reproduces Figure 7F)\n",
    "\n",
    "The brain-specific proteoform group maps to a region covered by alternative sequences 3, 4 and 5 in UniProt (10 in Bludau et. al. Figure 7F), a brain-specific splice variant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "27dbceb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Sorbin and SH3 domain-containing protein 2 (Q3UTJ2)'}, xlabel='Position'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Canonical sequence and UniProt alternative sequences for Q3UTJ2\n",
    "# Source: https://www.uniprot.org/uniprotkb/Q3UTJ2/entry#sequences\n",
    "seq = \"MNTDSGGCARKRAAMSVTLTSVKRVQSSPNLLAAGRESQSPDSAWRSYNDRNPETLNGDATYSSLAAKGFRSVRPNLQDKRSPTQSQITINGNSGGAVSPVSYYQRPFSPSAYSLPASLNSSIIMQHGRSLDSAETYSQHAQSLDGTMGSSIPLYRSSEEEKRVTVIKAPHYPGIGPVDESGIPTAIRTTVDRPKDWYKTMFKQIHMVHKPGLYNSPYSAQSHPAAKTQTYRPLSKSHSDNGTDAFKEVPSPVPPPHVPPRPRDQSSTLKHDWDPPDRKVDTRKFRSEPRSIFEYEPGKSSILQHERPVSIYQSSIDRSLERPSSSASMAGDFRKRRKSEPAVGPLRGLGDQSSSRTSPGRADLPGSSSTFTKSFISSSPSSPSRAQGGDDSKMCPPLCSYSGLNGTPSGELECCNAYRQHLDVPGDSQRAITFKNGWQMARQNAEIWSSTEETVSPKIKSRSCDDLLNDDCDSFPDPKTKSESMGSLLCEEDSKESCPMTWASPYIQEVCGNSRSRLKHRSAHNAPGFLKMYKKMHRINRKDLMNSEVICSVKSRILQYEKEQQHRGLLHGWSQSSTEEVPRDVVPTRISEFEKLIQKSKSMPNLGDEMLSPITLEPPQNGLCPKRRFSIESLLEEETQVRHPSQGQRSCKSNTLVPIHIEVTSDEQPRTHMEFSDSDQDGVVSDHSDYVHVEGSSFCSESDFDHFSFTSSESFYGSSHHHHHHHHHHRHLISSCKGRCPASYTRFTTMLKHERAKHENMDRPRRQEMDPGLSKLAFLVSPVPFRRKKILTPQKQTEKAKCKASVVEALDSALKDICDQIKAEKRRGSLPDNSILHRLISELLPQIPERNSSLHALKRSPMHQPFHPLPPDGASHCPLYQNDCGRMPHSASFPDVDTTSNYHAQDYGSALSLQDHESPRSYSSTLTDLGRSASRERRGTPEKEKLPAKAVYDFKAQTSKELSFKKGDTVYILRKIDQNWYEGEHHGRVGIFPISYVEKLTPPEKAQPARPPPPVQPGEIGEAIAKYNFNADTNVELSLRKGDRIILLKRVDQNWYEGKIPGTNRQGIFPVSYVEVVKRNAKGAEDYPDPPLPHSYSSDRIYTLSSNKPQRPGFSHENIQGGGEPFQALYNYTPRNEDELELRESDVVDVMEKCDDGWFVGTSRRTKFFGTFPGNYVKRL\"\n",
    "alt_seqs = {\n",
    "    \"Q3UTJ2-2_0\": {\"seq_coord\": (210, 211), \"group\": \"alt_2\"},\n",
    "    \"Q3UTJ2-2_1\": {\"seq_coord\": (307, 308), \"group\": \"alt_2\"},\n",
    "    \"Q3UTJ2-3_0\": {\"seq_coord\": (3, 34), \"group\": \"alt_3\"},\n",
    "    \"Q3UTJ2-3_1\": {\"seq_coord\": (210, 211), \"group\": \"alt_3\"},\n",
    "    \"Q3UTJ2-3_2\": {\"seq_coord\": (387, 914), \"group\": \"alt_3\"},\n",
    "    \"Q3UTJ2-3_3\": {\"seq_coord\": (1125, 1180), \"group\": \"alt_3\"},\n",
    "    \"Q3UTJ2-4_0\": {\"seq_coord\": (3, 34), \"group\": \"alt_4\"},\n",
    "    \"Q3UTJ2-4_1\": {\"seq_coord\": (387, 914), \"group\": \"alt_4\"},\n",
    "    \"Q3UTJ2-5_0\": {\"seq_coord\": (44, 67), \"group\": \"alt_5\"},\n",
    "    \"Q3UTJ2-5_1\": {\"seq_coord\": (210, 211), \"group\": \"alt_5\"},\n",
    "    \"Q3UTJ2-5_2\": {\"seq_coord\": (307, 308), \"group\": \"alt_5\"},\n",
    "    \"Q3UTJ2-5_3\": {\"seq_coord\": (387, 914), \"group\": \"alt_5\"},\n",
    "    \"Q3UTJ2-5_4\": {\"seq_coord\": (1125, 1135), \"group\": \"alt_5\"},\n",
    "    \"Q3UTJ2-6_0\": {\"seq_coord\": (44, 67), \"group\": \"alt_6\"},\n",
    "    \"Q3UTJ2-6_1\": {\"seq_coord\": (210, 211), \"group\": \"alt_6\"},\n",
    "    \"Q3UTJ2-6_2\": {\"seq_coord\": (308, 316), \"group\": \"alt_6\"},\n",
    "    \"Q3UTJ2-6_3\": {\"seq_coord\": (316, 1180), \"group\": \"alt_6\"},\n",
    "    \"Q3UTJ2-7_0\": {\"seq_coord\": (310, 313), \"group\": \"alt_7\"},\n",
    "    \"Q3UTJ2-7_1\": {\"seq_coord\": (313, 1180), \"group\": \"alt_7\"},\n",
    "}\n",
    "\n",
    "pr.pl.peptides_on_prot_sequence(\n",
    "    adata,\n",
    "    protein_id=\"Q3UTJ2\",\n",
    "    group_by=\"proteoform_id\",\n",
    "    ref_sequence=seq,\n",
    "    add_sequences=alt_seqs,\n",
    "    title=\"Sorbin and SH3 domain-containing protein 2 (Q3UTJ2)\",\n",
    "    figsize=(8, 4),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07253c56",
   "metadata": {},
   "source": [
    "## Proteoform quantification and statistical analysis\n",
    "\n",
    "To test if the inferred proteoform groups are indeed tissue-specific, a one-way ANOVA analysis can be performed directly using ProteoPy functions. In strong agreement with Bludau et al. (2021), our analysis revealed that 59 out of 65 proteoform-containing proteins (90.8%) are expressed in a tissue-specific manner."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "4b851d42",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Aggregate peptide intensities to proteoform level\n",
    "adata_pfs = adata.copy()\n",
    "pr.pp.quantify_proteoforms(adata_pfs, group_by=\"proteoform_id\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "f8b0ccfa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retain only significant proteoforms (score >= 0.1, adj. p-value <= 0.1)\n",
    "pf_mask = (\n",
    "    (adata_pfs.var[\"proteoform_score\"].astype(float) >= 0.1)\n",
    "    & (adata_pfs.var[\"proteoform_score_pval_adj\"].astype(float) <= 0.1)\n",
    ")\n",
    "adata_pfs = adata_pfs[:, pf_mask].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "0a75eabd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Log2 transform for statistical testing\n",
    "adata_pfs.layers[\"raw\"] = adata_pfs.X\n",
    "adata_pfs.X[adata_pfs.X == 0] = np.nan\n",
    "adata_pfs.X = np.log2(adata_pfs.X)\n",
    "adata_pfs.X[np.isnan(adata_pfs.X)] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "696e88c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved test results in .varm['anova_oneway;tissue;all']\n"
     ]
    }
   ],
   "source": [
    "# One-way ANOVA across tissues\n",
    "pr.tl.differential_abundance(\n",
    "    adata_pfs,\n",
    "    method=\"anova_oneway\",\n",
    "    multitest_correction=\"bonferroni\",\n",
    "    group_by=\"tissue\",\n",
    "    alpha=0.01,\n",
    "    space=\"log\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "a9f07ae1",
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>proteoform_id</th>\n",
       "      <th>test_type</th>\n",
       "      <th>group_by</th>\n",
       "      <th>design</th>\n",
       "      <th>fstat</th>\n",
       "      <th>pval</th>\n",
       "      <th>mean_Brain</th>\n",
       "      <th>mean_BAT</th>\n",
       "      <th>mean_Heart</th>\n",
       "      <th>mean_Liver</th>\n",
       "      <th>mean_Quad</th>\n",
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       "      <th>is_diff_abundant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>O08601_0</td>\n",
       "      <td>anova_oneway</td>\n",
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       "      <td>all</td>\n",
       "      <td>29.998692</td>\n",
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       "      <td>309.316738</td>\n",
       "      <td>8.846917e-27</td>\n",
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       "      <td>16.274997</td>\n",
       "      <td>16.297549</td>\n",
       "      <td>19.401295</td>\n",
       "      <td>16.539176</td>\n",
       "      <td>1.150099e-24</td>\n",
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       "      <td>2.441509e-04</td>\n",
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       "      <td>15.845380</td>\n",
       "      <td>17.226098</td>\n",
       "      <td>7.078387e-21</td>\n",
       "      <td>True</td>\n",
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       "      <td>O54749_0</td>\n",
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       "      <td>5.288221</td>\n",
       "      <td>1.938883e-03</td>\n",
       "      <td>13.162980</td>\n",
       "      <td>12.879554</td>\n",
       "      <td>14.428646</td>\n",
       "      <td>13.568651</td>\n",
       "      <td>13.071253</td>\n",
       "      <td>2.520548e-01</td>\n",
       "      <td>False</td>\n",
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       "      <th>125</th>\n",
       "      <td>Q9JKS4_1</td>\n",
       "      <td>anova_oneway</td>\n",
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       "      <td>66.936903</td>\n",
       "      <td>6.594055e-16</td>\n",
       "      <td>17.255804</td>\n",
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       "      <td>8.572271e-14</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>126</th>\n",
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       "      <td>all</td>\n",
       "      <td>14.856602</td>\n",
       "      <td>3.441306e-07</td>\n",
       "      <td>15.506743</td>\n",
       "      <td>12.560879</td>\n",
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       "      <td>13.230452</td>\n",
       "      <td>13.061866</td>\n",
       "      <td>4.473698e-05</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>127</th>\n",
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       "      <td>646.764070</td>\n",
       "      <td>2.861598e-32</td>\n",
       "      <td>20.504493</td>\n",
       "      <td>16.481401</td>\n",
       "      <td>16.861090</td>\n",
       "      <td>17.344528</td>\n",
       "      <td>16.848407</td>\n",
       "      <td>3.720078e-30</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Q9Z204_0</td>\n",
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       "      <td>75.275766</td>\n",
       "      <td>1.071660e-16</td>\n",
       "      <td>16.117296</td>\n",
       "      <td>12.403909</td>\n",
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       "      <td>13.374945</td>\n",
       "      <td>12.716591</td>\n",
       "      <td>1.393159e-14</td>\n",
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       "    <tr>\n",
       "      <th>129</th>\n",
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       "      <td>all</td>\n",
       "      <td>152.715690</td>\n",
       "      <td>1.224770e-21</td>\n",
       "      <td>15.790335</td>\n",
       "      <td>14.611674</td>\n",
       "      <td>13.502690</td>\n",
       "      <td>16.977432</td>\n",
       "      <td>13.218752</td>\n",
       "      <td>1.592201e-19</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>130 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    proteoform_id     test_type group_by design       fstat          pval  \\\n",
       "0        O08601_0  anova_oneway   tissue    all   29.998692  7.135979e-11   \n",
       "1        O08601_1  anova_oneway   tissue    all  309.316738  8.846917e-27   \n",
       "2        O54724_0  anova_oneway   tissue    all   12.603239  1.878084e-06   \n",
       "3        O54724_1  anova_oneway   tissue    all  184.250825  5.444913e-23   \n",
       "4        O54749_0  anova_oneway   tissue    all    5.288221  1.938883e-03   \n",
       "..            ...           ...      ...    ...         ...           ...   \n",
       "125      Q9JKS4_1  anova_oneway   tissue    all   66.936903  6.594055e-16   \n",
       "126      Q9QYR6_0  anova_oneway   tissue    all   14.856602  3.441306e-07   \n",
       "127      Q9QYR6_1  anova_oneway   tissue    all  646.764070  2.861598e-32   \n",
       "128      Q9Z204_0  anova_oneway   tissue    all   75.275766  1.071660e-16   \n",
       "129      Q9Z204_1  anova_oneway   tissue    all  152.715690  1.224770e-21   \n",
       "\n",
       "     mean_Brain   mean_BAT  mean_Heart  mean_Liver  mean_Quad      pval_adj  \\\n",
       "0     15.447875  16.438822   13.642355   15.286296  13.226680  9.276772e-09   \n",
       "1     17.173194  16.274997   16.297549   19.401295  16.539176  1.150099e-24   \n",
       "2     15.879478  13.639894    8.489357   10.545068  11.828292  2.441509e-04   \n",
       "3     16.359031  19.356209   18.207868   15.845380  17.226098  7.078387e-21   \n",
       "4     13.162980  12.879554   14.428646   13.568651  13.071253  2.520548e-01   \n",
       "..          ...        ...         ...         ...        ...           ...   \n",
       "125   17.255804  17.226273   19.196674   17.040296  19.944539  8.572271e-14   \n",
       "126   15.506743  12.560879   13.676294   13.230452  13.061866  4.473698e-05   \n",
       "127   20.504493  16.481401   16.861090   17.344528  16.848407  3.720078e-30   \n",
       "128   16.117296  12.403909   12.737527   13.374945  12.716591  1.393159e-14   \n",
       "129   15.790335  14.611674   13.502690   16.977432  13.218752  1.592201e-19   \n",
       "\n",
       "     is_diff_abundant  \n",
       "0                True  \n",
       "1                True  \n",
       "2                True  \n",
       "3                True  \n",
       "4               False  \n",
       "..                ...  \n",
       "125              True  \n",
       "126              True  \n",
       "127              True  \n",
       "128              True  \n",
       "129              True  \n",
       "\n",
       "[130 rows x 13 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anova_results = pr.get.differential_abundance_df(adata_pfs, keys=\"anova_oneway;tissue;all\")\n",
    "anova_results.rename(columns={\"var_id\": \"proteoform_id\"}, inplace=True)\n",
    "anova_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "888c78b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "59 tissue-specific proteoform groups found via ANOVA.\n"
     ]
    }
   ],
   "source": [
    "# Count proteins with all proteoforms being significantly tissue-specific\n",
    "protein_id_map = adata_pfs.var[[\"protein_id\", \"protein_id_old\"]].set_index(\"protein_id\")[\"protein_id_old\"]\n",
    "anova_results[\"protein_id\"] = anova_results[\"proteoform_id\"].map(protein_id_map)\n",
    "n_tissue_specific_pfs = anova_results.groupby(\"protein_id\")[\"is_diff_abundant\"].all().sum()\n",
    "\n",
    "print(f\"{n_tissue_specific_pfs} tissue-specific proteoform groups found via ANOVA.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ae40c32",
   "metadata": {},
   "source": [
    "## Summary\n",
    "\n",
    "This notebook reproduced the core proteoform inference workflow from Bludau et al. (2021) using ProteoPy. Key results:\n",
    "\n",
    "- **Proteoform detection**: COPF identified 65 proteins with proteoform groups, comparable to the 63 reported in the original study (Figure 6B).\n",
    "- **Biological verification**: The tissue-specific proteoform assignments for Ldb3 (Q9JKS4) and Sorbs2 (Q3UTJ2) match the published findings (Figures 7A, 7C, 7D, 7F), with peptide-to-sequence mappings consistent with known alternative splice variants.\n",
    "- **Tissue specificity**: ANOVA analysis recovered 59 tissue-specific proteoform groups (90.8% of the inferred proteoform groups) — similar to the 56 tissue-specific proteoform groups (88.9% of the inferred proteoform groups) reported by Bludau et al.\n",
    "\n",
    "Minor discrepancies between reported numbers are expected due to implementation details in preprocessing (e.g., peptide modification summarization, overlapping peptide handling) and statistical testing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "3a899aff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "adjustText==1.3.0\n",
      "anndata==0.11.4\n",
      "anyio==4.12.1\n",
      "argon2-cffi==25.1.0\n",
      "argon2-cffi-bindings==25.1.0\n",
      "array-api-compat==1.14.0\n",
      "arrow==1.4.0\n",
      "asttokens==3.0.1\n",
      "async-lru==2.3.0\n",
      "attrs==26.1.0\n",
      "babel==2.18.0\n",
      "beautifulsoup4==4.14.3\n",
      "biopython==1.86\n",
      "bleach==6.3.0\n",
      "certifi==2026.2.25\n",
      "cffi==2.0.0\n",
      "charset-normalizer==3.4.6\n",
      "comm==0.2.3\n",
      "contourpy==1.3.2\n",
      "cycler==0.12.1\n",
      "debugpy==1.8.20\n",
      "decorator==5.2.1\n",
      "defusedxml==0.7.1\n",
      "et_xmlfile==2.0.0\n",
      "exceptiongroup==1.3.1\n",
      "executing==2.2.1\n",
      "fastjsonschema==2.21.2\n",
      "fonttools==4.62.1\n",
      "fqdn==1.5.1\n",
      "h11==0.16.0\n",
      "h5py==3.16.0\n",
      "httpcore==1.0.9\n",
      "httpx==0.28.1\n",
      "idna==3.11\n",
      "igraph==1.0.0\n",
      "ipykernel==7.2.0\n",
      "ipython==8.38.0\n",
      "isoduration==20.11.0\n",
      "jedi==0.19.2\n",
      "Jinja2==3.1.6\n",
      "joblib==1.5.3\n",
      "json5==0.13.0\n",
      "jsonpointer==3.1.1\n",
      "jsonschema==4.26.0\n",
      "jsonschema-specifications==2025.9.1\n",
      "jupyter-events==0.12.0\n",
      "jupyter-lsp==2.3.0\n",
      "jupyter_client==8.8.0\n",
      "jupyter_core==5.9.1\n",
      "jupyter_server==2.17.0\n",
      "jupyter_server_terminals==0.5.4\n",
      "jupyterlab==4.5.6\n",
      "jupyterlab_pygments==0.3.0\n",
      "jupyterlab_server==2.28.0\n",
      "kiwisolver==1.5.0\n",
      "lark==1.3.1\n",
      "legacy-api-wrap==1.5\n",
      "llvmlite==0.46.0\n",
      "MarkupSafe==3.0.3\n",
      "matplotlib==3.10.8\n",
      "matplotlib-inline==0.2.1\n",
      "mistune==3.2.0\n",
      "natsort==8.4.0\n",
      "nbclient==0.10.4\n",
      "nbconvert==7.17.0\n",
      "nbformat==5.10.4\n",
      "nest-asyncio==1.6.0\n",
      "networkx==3.4.2\n",
      "notebook_shim==0.2.4\n",
      "numba==0.64.0\n",
      "numpy==2.2.6\n",
      "openpyxl==3.1.5\n",
      "overrides==7.7.0\n",
      "packaging @ file:///home/conda/feedstock_root/build_artifacts/bld/rattler-build_packaging_1769093650/work\n",
      "pandas==2.3.3\n",
      "pandocfilters==1.5.1\n",
      "parso==0.8.6\n",
      "patsy==1.0.2\n",
      "pexpect==4.9.0\n",
      "pillow==12.1.1\n",
      "platformdirs==4.9.4\n",
      "pooch==1.9.0\n",
      "prometheus_client==0.24.1\n",
      "prompt_toolkit==3.0.52\n",
      "proteopy==0.1.1\n",
      "psutil==7.2.2\n",
      "ptyprocess==0.7.0\n",
      "pure_eval==0.2.3\n",
      "pyarrow==23.0.1\n",
      "pycparser==3.0\n",
      "Pygments==2.19.2\n",
      "pynndescent==0.6.0\n",
      "pyparsing==3.3.2\n",
      "python-dateutil==2.9.0.post0\n",
      "python-igraph==1.0.0\n",
      "python-json-logger==4.0.0\n",
      "pytz==2026.1.post1\n",
      "PyYAML==6.0.3\n",
      "pyzmq==27.1.0\n",
      "referencing==0.37.0\n",
      "requests==2.32.5\n",
      "rfc3339-validator==0.1.4\n",
      "rfc3986-validator==0.1.1\n",
      "rfc3987-syntax==1.1.0\n",
      "rpds-py==0.30.0\n",
      "scanpy==1.11.5\n",
      "scikit-learn==1.7.2\n",
      "scipy==1.15.3\n",
      "seaborn==0.13.2\n",
      "Send2Trash==2.1.0\n",
      "session-info2==0.4\n",
      "six==1.17.0\n",
      "soupsieve==2.8.3\n",
      "stack-data==0.6.3\n",
      "statsmodels==0.14.6\n",
      "terminado==0.18.1\n",
      "texttable==1.7.0\n",
      "threadpoolctl==3.6.0\n",
      "tinycss2==1.4.0\n",
      "tomli==2.4.0\n",
      "tornado==6.5.5\n",
      "tqdm==4.67.3\n",
      "traitlets==5.14.3\n",
      "typing_extensions==4.15.0\n",
      "tzdata==2025.3\n",
      "umap-learn==0.5.11\n",
      "uri-template==1.3.0\n",
      "urllib3==2.6.3\n",
      "wcwidth==0.6.0\n",
      "webcolors==25.10.0\n",
      "webencodings==0.5.1\n",
      "websocket-client==1.9.0\n"
     ]
    }
   ],
   "source": [
    "!pip freeze"
   ]
  }
 ],
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   "language": "python",
   "name": "python3"
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