00_core.ipynb

{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "---\n",
    "description: Glycans are a fundamental biological sequence, similar to DNA, RNA, or\n",
    "  proteins. Glycans are complex carbohydrates that can form branched structures comprising\n",
    "  monosaccharides and linkages as constituents. Despite being conspicuously absent\n",
    "  from most research, glycans are ubiquitous in biology. They decorate most proteins\n",
    "  and lipids and direct the stability and functions of biomolecules, cells, and organisms.\n",
    "  This also makes glycans relevant to every human disease.\n",
    "output-file: core.html\n",
    "title: Overview\n",
    "\n",
    "---\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#| default_exp core"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The analysis of glycans is made difficult by their nonlinearity and their astounding diversity, given the large number of monosaccharides and types of linkages. Glycowork is a Python package designed to process and analyze glycan sequences, with a special emphasis on glycan-focused machine learning. Next to various functions to work with glycans, glycowork also contains some of the largest curated glycan datasets in the field, that can be used for model training, motif comparisons, composition matching, etc.\n",
    "\n",
    "Where possible, glycowork uses the IUPAC-condensed nomenclature for glycans. However, since v1.0, glycowork broadly supports IUPAC-extended, LinearCode, Oxford, GlycoCT, and WURCS as input formats as well. No conversions or special settings are necessary.\n",
    "\n",
    "If you do want to use IUPAC-condensed (still recommended), here are some best practices: An example for this would be `Man(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc`, in which parentheses enclose the linkage description and brackets indicate branches. Ideally, the longest branch should constitute the main chain and side branches should be ordered ascendingly based on the last linkage of the branch (yet all functions in glycowork can deal with violations to these guidelines). Fragments with unclear attachment points are added within curly brackets. Where possible/known, monosaccharide modifications are indicated by the ring position to which they are attached (e.g., Glc6Me), while the type of connection is given if the exact position is unknown (e.g., GlcOMe). Linkage uncertainty is expressed with a '?' placeholder (e.g., a1-6, ?1-6, a1-?). As suggested in IUPAC-condensed, we omit the D-/L-prefix for the \"usual\" case and only add it for the rarer option (e.g., Glc vs. L-Glc).\n",
    "\n",
    "However, it should be noted that nearly all functions in glycowork operate on pure graphs (facilitated by `glycowork.motif.graph.glycan_to_nxGraph`), avoiding all ambiguity of the IUPAC nomenclature. We use the IUPAC nomenclature here as a human-readable glycan nomenclature that can be readily used for motif interpretation and user-friendly usage. The conversion to graphs in all end user-functions and operations, such as motif annotation via highly optimized subgraph isomorphism tests, are handled behind the scenes, allowing you to work with glycans in a human-readable format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#| include: false\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "from nbdev.showdoc import *\n",
    "import copy\n",
    "from IPython.display import HTML\n",
    "import pandas as pd\n",
    "from glycowork.glycan_data.loader import df_species\n",
    "from glycowork.motif.analysis import plot_embeddings, get_heatmap, characterize_monosaccharide\n",
    "from glycowork.motif.processing import presence_to_matrix\n",
    "from glycowork.motif.query import get_insight\n",
    "#%load_ext autoreload\n",
    "#%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All modules in glycowork, **except** for `ml`, can be run on any machine. For most parts of `ml`, however, a GPU is needed to load and run torch_geometric.\n",
    "\n",
    "If you want to run `glycowork.ml` in a Jupyter Notebook (in the cloud or wherever you have a GPU), just install glycowork with its optional dependencies for machine learning:\n",
    "```\n",
    "!pip install \"glycowork[ml]\"\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Okay, how about an example! (For more example workflows, head over to the `examples` section) <br>\n",
    "Let's say you're interested in glycans of the plant order Fabales that includes the legumes. Luckily, we've got you covered and `df_species` has >700 glycan sequences that stem from Fabales. So the first step is easy: import `df_species` from `glycowork.glycan_data.loader` and filter for Fabales glycans."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_fabales = df_species[df_species.Order == 'Fabales'].reset_index(drop = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_ccb5e_row0_col0, #T_ccb5e_row0_col1, #T_ccb5e_row0_col2, #T_ccb5e_row0_col3, #T_ccb5e_row0_col4, #T_ccb5e_row0_col5, #T_ccb5e_row0_col6, #T_ccb5e_row0_col7, #T_ccb5e_row0_col8, #T_ccb5e_row1_col0, #T_ccb5e_row1_col1, #T_ccb5e_row1_col2, #T_ccb5e_row1_col3, #T_ccb5e_row1_col4, #T_ccb5e_row1_col5, #T_ccb5e_row1_col6, #T_ccb5e_row1_col7, #T_ccb5e_row1_col8, #T_ccb5e_row2_col0, #T_ccb5e_row2_col1, #T_ccb5e_row2_col2, #T_ccb5e_row2_col3, #T_ccb5e_row2_col4, #T_ccb5e_row2_col5, #T_ccb5e_row2_col6, #T_ccb5e_row2_col7, #T_ccb5e_row2_col8, #T_ccb5e_row3_col0, #T_ccb5e_row3_col1, #T_ccb5e_row3_col2, #T_ccb5e_row3_col3, #T_ccb5e_row3_col4, #T_ccb5e_row3_col5, #T_ccb5e_row3_col6, #T_ccb5e_row3_col7, #T_ccb5e_row3_col8, #T_ccb5e_row4_col0, #T_ccb5e_row4_col1, #T_ccb5e_row4_col2, #T_ccb5e_row4_col3, #T_ccb5e_row4_col4, #T_ccb5e_row4_col5, #T_ccb5e_row4_col6, #T_ccb5e_row4_col7, #T_ccb5e_row4_col8 {\n",
       "  font-size: 11pt;\n",
       "  font-family: Helvetica;\n",
       "  border-collapse: collapse;\n",
       "  border: 1px solid black;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_ccb5e\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_ccb5e_level0_col0\" class=\"col_heading level0 col0\" >Species</th>\n",
       "      <th id=\"T_ccb5e_level0_col1\" class=\"col_heading level0 col1\" >Genus</th>\n",
       "      <th id=\"T_ccb5e_level0_col2\" class=\"col_heading level0 col2\" >Family</th>\n",
       "      <th id=\"T_ccb5e_level0_col3\" class=\"col_heading level0 col3\" >Order</th>\n",
       "      <th id=\"T_ccb5e_level0_col4\" class=\"col_heading level0 col4\" >Class</th>\n",
       "      <th id=\"T_ccb5e_level0_col5\" class=\"col_heading level0 col5\" >Phylum</th>\n",
       "      <th id=\"T_ccb5e_level0_col6\" class=\"col_heading level0 col6\" >Kingdom</th>\n",
       "      <th id=\"T_ccb5e_level0_col7\" class=\"col_heading level0 col7\" >Domain</th>\n",
       "      <th id=\"T_ccb5e_level0_col8\" class=\"col_heading level0 col8\" >ref</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th class=\"index_name level0\" >glycan</th>\n",
       "      <th class=\"blank col0\" >&nbsp;</th>\n",
       "      <th class=\"blank col1\" >&nbsp;</th>\n",
       "      <th class=\"blank col2\" >&nbsp;</th>\n",
       "      <th class=\"blank col3\" >&nbsp;</th>\n",
       "      <th class=\"blank col4\" >&nbsp;</th>\n",
       "      <th class=\"blank col5\" >&nbsp;</th>\n",
       "      <th class=\"blank col6\" >&nbsp;</th>\n",
       "      <th class=\"blank col7\" >&nbsp;</th>\n",
       "      <th class=\"blank col8\" >&nbsp;</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_ccb5e_level0_row0\" class=\"row_heading level0 row0\" >Man(a1-3)Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(a1-6)Man(b1-4)GlcNAc(b1-4)GlcNAc</th>\n",
       "      <td id=\"T_ccb5e_row0_col0\" class=\"data row0 col0\" >Abrus_precatorius</td>\n",
       "      <td id=\"T_ccb5e_row0_col1\" class=\"data row0 col1\" >Abrus</td>\n",
       "      <td id=\"T_ccb5e_row0_col2\" class=\"data row0 col2\" >Fabaceae</td>\n",
       "      <td id=\"T_ccb5e_row0_col3\" class=\"data row0 col3\" >Fabales</td>\n",
       "      <td id=\"T_ccb5e_row0_col4\" class=\"data row0 col4\" >Dicotyledons</td>\n",
       "      <td id=\"T_ccb5e_row0_col5\" class=\"data row0 col5\" >Angiosperms</td>\n",
       "      <td id=\"T_ccb5e_row0_col6\" class=\"data row0 col6\" >Plantae</td>\n",
       "      <td id=\"T_ccb5e_row0_col7\" class=\"data row0 col7\" >Eukarya</td>\n",
       "      <td id=\"T_ccb5e_row0_col8\" class=\"data row0 col8\" >nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ccb5e_level0_row1\" class=\"row_heading level0 row1\" >Man(a1-6)[Man(a1-3)]Man(a1-6)[Man(a1-3)]Man(b1-4)GlcNAc(b1-4)GlcNAc</th>\n",
       "      <td id=\"T_ccb5e_row1_col0\" class=\"data row1 col0\" >Abrus_precatorius</td>\n",
       "      <td id=\"T_ccb5e_row1_col1\" class=\"data row1 col1\" >Abrus</td>\n",
       "      <td id=\"T_ccb5e_row1_col2\" class=\"data row1 col2\" >Fabaceae</td>\n",
       "      <td id=\"T_ccb5e_row1_col3\" class=\"data row1 col3\" >Fabales</td>\n",
       "      <td id=\"T_ccb5e_row1_col4\" class=\"data row1 col4\" >Dicotyledons</td>\n",
       "      <td id=\"T_ccb5e_row1_col5\" class=\"data row1 col5\" >Angiosperms</td>\n",
       "      <td id=\"T_ccb5e_row1_col6\" class=\"data row1 col6\" >Plantae</td>\n",
       "      <td id=\"T_ccb5e_row1_col7\" class=\"data row1 col7\" >Eukarya</td>\n",
       "      <td id=\"T_ccb5e_row1_col8\" class=\"data row1 col8\" >nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ccb5e_level0_row2\" class=\"row_heading level0 row2\" >Man(a1-6)[Xyl(b1-2)][Man(a1-3)]Man(a1-6)Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAc</th>\n",
       "      <td id=\"T_ccb5e_row2_col0\" class=\"data row2 col0\" >Abrus_precatorius</td>\n",
       "      <td id=\"T_ccb5e_row2_col1\" class=\"data row2 col1\" >Abrus</td>\n",
       "      <td id=\"T_ccb5e_row2_col2\" class=\"data row2 col2\" >Fabaceae</td>\n",
       "      <td id=\"T_ccb5e_row2_col3\" class=\"data row2 col3\" >Fabales</td>\n",
       "      <td id=\"T_ccb5e_row2_col4\" class=\"data row2 col4\" >Dicotyledons</td>\n",
       "      <td id=\"T_ccb5e_row2_col5\" class=\"data row2 col5\" >Angiosperms</td>\n",
       "      <td id=\"T_ccb5e_row2_col6\" class=\"data row2 col6\" >Plantae</td>\n",
       "      <td id=\"T_ccb5e_row2_col7\" class=\"data row2 col7\" >Eukarya</td>\n",
       "      <td id=\"T_ccb5e_row2_col8\" class=\"data row2 col8\" >nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ccb5e_level0_row3\" class=\"row_heading level0 row3\" >Rha(a1-2)Gal(b1-2)GlcA6Me</th>\n",
       "      <td id=\"T_ccb5e_row3_col0\" class=\"data row3 col0\" >Abrus_precatorius</td>\n",
       "      <td id=\"T_ccb5e_row3_col1\" class=\"data row3 col1\" >Abrus</td>\n",
       "      <td id=\"T_ccb5e_row3_col2\" class=\"data row3 col2\" >Fabaceae</td>\n",
       "      <td id=\"T_ccb5e_row3_col3\" class=\"data row3 col3\" >Fabales</td>\n",
       "      <td id=\"T_ccb5e_row3_col4\" class=\"data row3 col4\" >Dicotyledons</td>\n",
       "      <td id=\"T_ccb5e_row3_col5\" class=\"data row3 col5\" >Angiosperms</td>\n",
       "      <td id=\"T_ccb5e_row3_col6\" class=\"data row3 col6\" >Plantae</td>\n",
       "      <td id=\"T_ccb5e_row3_col7\" class=\"data row3 col7\" >Eukarya</td>\n",
       "      <td id=\"T_ccb5e_row3_col8\" class=\"data row3 col8\" >nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ccb5e_level0_row4\" class=\"row_heading level0 row4\" >Rha(a1-2)Gal(b1-2)GlcAOMe</th>\n",
       "      <td id=\"T_ccb5e_row4_col0\" class=\"data row4 col0\" >Abrus_precatorius</td>\n",
       "      <td id=\"T_ccb5e_row4_col1\" class=\"data row4 col1\" >Abrus</td>\n",
       "      <td id=\"T_ccb5e_row4_col2\" class=\"data row4 col2\" >Fabaceae</td>\n",
       "      <td id=\"T_ccb5e_row4_col3\" class=\"data row4 col3\" >Fabales</td>\n",
       "      <td id=\"T_ccb5e_row4_col4\" class=\"data row4 col4\" >Dicotyledons</td>\n",
       "      <td id=\"T_ccb5e_row4_col5\" class=\"data row4 col5\" >Angiosperms</td>\n",
       "      <td id=\"T_ccb5e_row4_col6\" class=\"data row4 col6\" >Plantae</td>\n",
       "      <td id=\"T_ccb5e_row4_col7\" class=\"data row4 col7\" >Eukarya</td>\n",
       "      <td id=\"T_ccb5e_row4_col8\" class=\"data row4 col8\" >nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#| echo: false\n",
    "df_fabales2 = copy.deepcopy(df_fabales)\n",
    "df_fabales2.set_index(\"glycan\", inplace = True)\n",
    "df_fabales2 = df_fabales2.style.set_properties(**{'font-size': '11pt', 'font-family': 'Helvetica','border-collapse': 'collapse','border': '1px solid black'})\n",
    "style = df_fabales2.export()\n",
    "df_fabales2.data.head().style.use(style)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, if you're not a plant glycobiologist, that may seem a bit overwhelming to you. But fear not, we can just **plot** glycans. How? Easy: Glycan representations! <br>\n",
    "\n",
    "Representations or embeddings are really just a bunch of numbers learned by a machine learning model that express similarity. Meaning that if two glycans are similar (in sequence/properties/etc.), the difference between their representations should be small. Or, in other words, they should cluster in a plot. <br>\n",
    "\n",
    "Now, you might not be in possession of a GPU and/or the wherewithal to train a glycan-focused deep learning model. That's why `glycowork` has both trained models and **already calculated** glycan representations waiting for you! And the best thing: you don't even need to worry about them. You just pass glycan sequences to our functions and `glycowork` will handle glycan representations behind the scenes. <br>\n",
    "\n",
    "So, for our Fabales example, we pass our glycan sequences to `glycowork.motif.analysis.plot_embeddings`, which will retrieve their learned representations, transform them into two dimensions via t-distributed stochastic neighbor embedding (t-SNE), and plot them! If you want, it can even color the resulting scatterplots by a label, for instance the taxonomic family within Fabales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnAAAAHWCAYAAAD3vrTNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3xV9fnA8c85d8/c7EUmIRCWypIhIooiFsT9c1VxtVptHbVqW0etWrXOUutuxVVRq+KeKMoWkD1CSAhJyB43N3ffe875/XHDhWuCk833/XqlNWd+c7i5ee53PI+kaZqGIAiCIAiCcNCQ93cDBEEQBEEQhB9HBHCCIAiCIAgHGRHACYIgCIIgHGREACcIgiAIgnCQEQGcIAiCIAjCQUYEcIIgCIIgCAcZEcAJgiAIgiAcZEQAJwiCIAiCcJDR7+8GCIIgCMKhTFVVwuHw/m6GcBAwGo3I8g/rWxMBnCAIgiDsJeFwmK1bt6Kq6v5uinAQkGWZoqIijEbj9x4riVJagiAIgrDnaZpGTU0NkUiEnJycH9yzIhyeVFWlvr4eg8FAfn4+kiR95/GiB04QBEEQ9oJoNIrf7ycnJwer1bq/myMcBNLT06mvrycajWIwGL7zWPFxQBAEQRD2AkVRAH7QcJggwM7Xyo7XzncRAZwgCIIg7EXfNxQmCDv8mNeKCOAEQRAEQRAOMiKAEwRBEARhj5g1axYul2t/N+OwIAI4QRAEQRASzJgxA0mSenxt2bJlfzdN6CZWoQqCIAjCAUxRNeZXtdHQFSLbYWJ8cSo6ee/Pqzv55JN57rnnEralp6fv9fsKP4zogRMEQRCEA9Sbaxsouuczjn9yMRe8/A3HP7mYons+4821DXv93iaTiaysrISvf/zjHwwZMgSbzUZeXh6/+c1v8Hq9Pc6dM2cO/fr1w2w2M3nyZGpra+P7KisrmT59OpmZmdjtdkaOHMlnn32WcH4oFOLmm28mLy8Pk8lESUkJ//73v+P7161bx5QpU7Db7WRmZvLLX/6S1tbW+P6PPvqIY445BpfLRWpqKlOnTqWysjLhHrW1tZxzzjm4XC5SUlKYPn061dXVe+jp7X0igBMEQRCEA9Cbaxs4+/nl1HUGE7Zv7wxy9vPL90kQ922yLDNz5kzWr1/P888/z+eff85NN92UcIzf7+eee+7hhRdeYOHChbjdbs4999z4fq/XyymnnMLcuXNZuXIlJ598MtOmTaOmpiZ+zEUXXcQrr7zCzJkz2bhxI0899RR2ux0At9vN8ccfz1FHHcXy5cv56KOPaGpq4pxzzomf7/P5uOGGG1i+fDlz585FlmVOP/30eEWMSCTC5MmTcTgczJ8/n4ULF2K32zn55JMPmrJnohKDIAiCIOwFwWCQrVu3UlRUhNls/lHnKqpG0T2f9QjedpCAPi4zVX+atFeGU2fMmMFLL72U0O4pU6bw+uuvJxz3v//9jyuvvDLe+zVr1iwuueQSlixZwtFHHw3Apk2bKCsrY+nSpYwaNarX+w0ePJgrr7ySa665hs2bN9O/f38+/fRTJk2a1OPYu+++m/nz5/Pxxx/Ht9XV1ZGXl0d5eTmlpaU9zmltbSU9PZ21a9cyePBgXnrpJe6++242btwYT90RDodxuVzMmTOHk0466Uc+sT3jx7xmxBw4QRAEQTjAzK9q223wBqABte4g86vaOK4kba+0YeLEiTzxxBPx7202G5999hn33nsvmzZtwuPxEI1GCQaD+P3+eLUJvV7PyJEj4+cNGDAAl8vFxo0bGTVqFF6vl7/85S+8//77NDQ0EI1GCQQC8R64VatWodPpmDBhQq/tWr16NV988UW8R25XlZWVlJaWUlFRwe23387SpUtpbW2N97zV1NQwePBgVq9ezZYtW3A4HAnnB4PBHkOtByoRwAmCIAjCAaahK7RHj/spbDYbJSUl8e+rq6uZOnUqV111Fffccw8pKSksWLCAyy67jHA4/IPLhd144418+umnPPjgg5SUlGCxWDjrrLPiQ5cWi+U7z/d6vUybNo3777+/x77s7GwApk2bRkFBAc888ww5OTmoqsrgwYPj9/B6vQwfPpyXX365xzUOloUaIoAThMOQEuok6qlBDXUgGx3o7X3QWQ+ONy1BOBxkO0x79Lg9YcWKFaiqykMPPYQsx6bQv/baaz2Oi0ajLF++PD5cWl5ejtvtpqysDICFCxcyY8YMTj/9dCAWTO26eGDIkCGoqsqXX37Z6xDqsGHDeOONNygsLESv7xnGtLW1UV5ezjPPPMP48eMBWLBgQY9rvPrqq2RkZOB0On/C09j/xCIGQTjMRDw1dCz4E62fXkH7VzfR+tlVtH5xLeGO8v3dNEEQuo0vTqVPkpndzW6TgDyXmfHFqfusTSUlJUQiEf75z39SVVXFiy++yJNPPtnjOIPBwG9/+1uWLl3KihUrmDFjBqNHj44HdP369ePNN99k1apVrF69mvPPPz8+xAlQWFjIxRdfzKWXXsqcOXPYunUr8+bNiweLV199Ne3t7Zx33nksW7aMyspKPv74Yy655BIURSE5OZnU1FSefvpptmzZwueff84NN9yQ0MYLLriAtLQ0pk+fzvz58+P3+N3vfkddXd1efIp7jgjgBOEwEfXWE+mspnP5g4SaViTu66yiY8GtRP1N+6l1giDsSidLPHraYIAeQdyO7x+ZPnif5IPb4YgjjuDhhx/m/vvvZ/Dgwbz88svce++9PY6zWq3cfPPNnH/++YwbNw673c6rr74a3//www+TnJzM2LFjmTZtGpMnT2bYsGEJ13jiiSc466yz+M1vfsOAAQO44oor8Pl8AOTk5LBw4UIUReGkk05iyJAhXHfddbhcLmRZRpZlZs+ezYoVKxg8eDDXX389DzzwQI82fvXVV+Tn53PGGWdQVlbGZZddRjAYPGh65MQqVEE4xEX9zfi3foCv/HVspWfS/tUt6CwpyEYHSLqEY1OPn4k5q/dVYoIg/Dg/ZxXqDm+ubeC6OesSFjTkucw8Mn0wZwzJ3lNNFQ4QYhWqIAgAKGEvXWuexl/13o4NoIZRfI1oagSdJQ00FU1TkJBRAq3ffUFBEPapM4ZkM31Q1n6pxCAc2EQAJwiHMKWrFn/V+zs36EwgybGgTQmjhjyowXY0NYIk65EkHUqwHZ05Zf81WhCEBDpZ2mupQoSDl5gDJwiHsKi3jljGqJhI+ybMeROR9GYkJBRvHZoSAk1F7ywi3LIW78b/okYD+6/RgiAIwvcSAZwgHMIk3c45FJLRiaS34DziN1iKfoESbGfHdGhj2lCcR16Nf+sHeMtnE+2q3c0VBUEQhAOBGEIVhEOY3pmPZHRiTCnDkFqGr3w2XeufJ/X4f2LOGhWb+6a3oHi307V+FlrUD4DStR2Se5ajEQRBEA4MIoAThEOY3pFH8ti7CG3/io75f2THcKrSWUXHwluRzcnorBkJq1H1rlIkg41g/WKQdOjt2ejsfeL1AgVBEIT9TwRwgnCIUSM+FH8zaBo6awZ6ey4d1R8gW1LRlBCy3oKmKejsOSi+RmSTC0kfK11jyh6DzppO25e/BzUCgGxKImn477H0OQ5Jb9yfP5ogCILQTQRwgnAICbeuw7P2GUKNy0DTMGUOwzbgPGRTKjrLzoUJwbqvcA67DveiO9BZM7Hkn4BkcqF35OFefBdIOxc+qKFOOhbfiW5SJqb0I/bHjyUIgiB8i1jEIAiHiHDHZlq/uJ5Qw1LQVEAj1LSC9i//gK1keix9SDfF10CwbgHpv5iNpXAyvoo36Fr9JJ6V/8A++GKMmSMSL64p+CvmoKnRfftDCYJw0Jk1axYul2uf3/e4447juuuu2+f33V9EACcIhwBNUwnUfBFfhJBAjRCsm48xcwTW4qk4hvwKx6AZ2PqfQ6jpG7ybZoMkgSwTalpBx/w/YkgqRufIS7hMpLMKLRrseX1BEA45M2bMQJIkJEnCaDRSUlLCX//6V6JR8SHuQCGGUAXhIKZpGlFPDZGOctSwB8fgS1H8Tfi3fhifw4asRwm04Tzi17iX3kO4ZTUAOksGhrRBOIf+iq71zyFJKpKsR1OjdK19GscRv8G36b/xe+md+QlpSQRBOLSdfPLJPPfcc4RCIT744AOuvvpqDAYDf/zjH/d30wRED5wgHLQ0TSPUsISWT6+gY+GteFY8TPuXvyewbS6OwZckrCy1Fv8Cz+oniHrrkPQWZHMyGirB2s8J1H6BKXsMSDpkcypAbHGDfpdgTZKx9TsDSbf7z3xq2E+oZQ3+6o8J1M4j3FG5t350QTisaKpCoPZLvJtmE6j9Ek1V9sl9TSYTWVlZFBQUcNVVVzFp0iTeeecdOjo6uOiii0hOTsZqtTJlyhQqKip6vUZ1dTWyLLN8+fKE7Y8++igFBQWoqgrAO++8Q79+/TCbzUycOJHnn38eSZJwu90AtLW1cd5555Gbm4vVamXIkCG88sor39n+F198kREjRuBwOMjKyuL888+nubk54Zj169czdepUnE4nDoeD8ePHU1m5873r2WefpaysDLPZzIABA3j88ccTzr/55pspLS3FarVSXFzMbbfdRiQSSTjm7bffZtiwYZjNZoqLi7nzzjv3SE+m6IEThIOAEuwg6t2OFvEjm1MwOPOJerfTvvBWtIgPJBnZnIziDRBuXkEopRTnEVfGhjwlHXpnPoqvAZ0lHSwaaBpqyI2mRvFvfY+U8Q8QrPsC2WBFs6ShBtviAaCkt5I07Dp0zmKCzSsJNy5HCbZjyjgKQ3IphqRCIl3b8a6fhWf1v9AisWFcnbOA1AkPYc47DlkWbzWC8FP4trxF27wbULzb49t09lxSj3sYW8np+7QtFouFtrY2ZsyYQUVFBe+88w5Op5Obb76ZU045hQ0bNmAwGBLOKSwsZNKkSTz33HOMGLFzbu1zzz3HjBkzkGWZrVu3ctZZZ3Httddy+eWXs3LlSm688caE6wSDQYYPH87NN9+M0+nk/fff55e//CV9+/Zl1KhRvbY3Eolw11130b9/f5qbm7nhhhuYMWMGH3zwAQDbt2/n2GOP5bjjjuPzzz/H6XSycOHCeHD18ssvc/vtt/PYY49x1FFHsXLlSq644gpsNhsXX3wxAA6Hg1mzZpGTk8PatWu54oorcDgc3HTTTQDMnz+fiy66iJkzZ8aDw1/96lcA3HHHHT/r30PSNE37/sMEQdhfwu2bcH99H5H2TbENOhP20nPQO3Jxf33fzgPVKIq/GZ2zCHv/s/FVvku4cSmyLQfn0F/hXf8fJL11Z/CmqSjeOtA0UsbfR6htPebso0FTkPQ2jBlHoYXc6Oy5SOYUApXv0Dbv+p1Ds4ApezSpJzxOsPYL2r/8fY+2S0Y7mae9iznjqL39mAThgBMMBtm6dStFRUWYzT9++oFvy1s0v3cuu5bDi4nlZMyYOnuvBXEzZszA7XYzZ84cNE1j7ty5TJ06lSlTpjBnzhwWLlzI2LFjgVjvWF5eHs8//zxnn302s2bN4rrrrov3nr322mtceeWVNDQ0YDKZ+OabbxgxYgRVVVUUFhZyyy238P7777N27dr4/W+99VbuueceOjo6drsgYurUqQwYMIAHH3wQiC1iOPLII3n00Ud7PX758uWMHDmSrq4u7HY7f/rTn5g9ezbl5eU9Ak+AkpIS7rrrLs4777z4trvvvpsPPviARYsW9XqPBx98kNmzZ8d7HCdNmsQJJ5yQMOz80ksvcdNNN1FfX9/j/B/zmjmohlC3b9/OhRdeSGpqKhaLhSFDhiR0y2qaxu233052djYWi4VJkybttltXEA4G0a7ttH91887gDUAJEaj5jPCu2wBkPTp7HxyDL6Z94a0oXdvQO/LQGR3IBitRXxPIOjQljOJvQot0xZL4ynoMqQOJuitp+/xa2uffgmfVYwTr5mFI6Y8hqZBox2bavrg2IXgDCDUsIdS0nK51/+m1/VrYS7Dm8z39WAThkKepCm3zbqBn8EZ8W9u83+/V4dT33nsPu92O2WxmypQp/N///R8zZsxAr9dz9NFHx49LTU2lf//+bNy4sdfrnHbaaeh0Ot566y0gtkp14sSJFBYWAlBeXs7IkSMTzvl2r5qiKNx1110MGTKElJQU7HY7H3/8MTU1Nbtt/4oVK5g2bRr5+fk4HA4mTJgAED9n1apVjB8/vtfgzefzUVlZyWWXXYbdbo9/3X333QlDrK+++irjxo0jKysLu93OrbfemtCm1atX89e//jXhGldccQUNDQ34/b0sOvsRDppxjY6ODsaNG8fEiRP58MMPSU9Pp6KiguTk5Pgxf//735k5cybPP/88RUVF3HbbbUyePJkNGzb8pE8/grC/RTrKUfxNPbarwQ5kYxKaEkbS7Uyua8oZg3/rB0iSDklvRdIZ0Vkz0TvySR59G2qwA509K1a0ftMrQAR72S8J1HxOuHUNsiUZXfc8OO+GF5FkA44hlxOs/QK03v9QqMF2FF/PNu4Qbl338x6CIByGgtsXJAyb9qSheOsIbl+AJW/CXmnDxIkTeeKJJzAajeTk5KDX63nnnXd+9HWMRiMXXXQRzz33HGeccQb//e9/+cc//vGjrvHAAw/wj3/8g0cffZQhQ4Zgs9m47rrrCIfDvR7v8/mYPHkykydP5uWXXyY9PZ2amhomT54cP8disez2fl6vF4BnnnkmIVgF0Oli00sWL17MBRdcwJ133snkyZNJSkpi9uzZPPTQQwnXufPOOznjjDN63OPnxiUHTQB3//33k5eXx3PPPRffVlRUFP9vTdN49NFHufXWW5k+fToAL7zwApmZmcyZM4dzzz13n7dZEH4uJdSJKXc8athDpHVdPIjSlCCaGkVny0ENtoJsxFp0MsbMEXQs+DM6SxpIIFuzsJWcSusXv0NCQ/G3oGlRTJkjSR57J8H6RdgH/pLWTy+PVWNQQrGUIt285a9hKZ5G1New+zb6m9HbswkHW4HY/LpYD4EEkoQhpf/efUiCcAhSvuN37qcc91PYbDZKSkoStpWVlRGNRlm6dGnCEGp5eTkDBw7c7bUuv/xyBg8ezOOPP040Gk0IaPr37x+fl7bDsmXLEr5fuHAh06dP58ILLwRAVVU2b96823tu2rSJtrY27rvvPvLyYimRvr2QYujQoTz//PNEIpEevXCZmZnk5ORQVVXFBRdc0Os9Fi1aREFBAX/+85/j27Zt25ZwzLBhwygvL+/xHPeEg2YI9Z133mHEiBGcffbZZGRkcNRRR/HMM8/E92/dupXGxkYmTZoU35aUlMTRRx/N4sWLd3vdUCiEx+NJ+AqFQnv1ZxGE76OpCuG2jYRb1xBpWQXRAM4hl2PMGB4/xl/9ISnj/4YxYxjOwZcS2PYp/qp3AQ3F30jUsw1r0WQ6Fv8V1d+MEmiLldZyFqJ4txNp34glbyK+iv+heLcj6UwgGxJWr2oRL2qwDVPG8FhyYE3dsSf+FW5Zi33gL0FT0ZQImhKO/z+SAUv+CfvwyQnCoUFny96jx+0p/fr1Y/r06VxxxRUsWLCA1atXc+GFF5KbmxvvPOlNWVkZo0eP5uabb+a8885L6P369a9/zaZNm7j55pvZvHkzr732GrNmzQKI12Du168fn376KYsWLWLjxo38+te/pqlp9z3/+fn5GI1G/vnPf1JVVcU777zDXXfdlXDMNddcg8fj4dxzz2X58uVUVFTw4osvUl5eDsCdd97Jvffey8yZM9m8eTNr167lueee4+GHH463qaamhtmzZ1NZWcnMmTPjw8Q73H777bzwwgvceeedrF+/no0bNzJ79mxuvfXWH/7Qd+OgCeCqqqp44okn6NevHx9//DFXXXUVv/vd73j++ecBaGxsBGJR864yMzPj+3pz7733kpSUlPB177337r0fRBB+gFDDElo/uxL/lrcJNa3AX/kObfNuQO/IRZ8yAABL9hiMKQNIGXcXoeZvUINtRDu2YOt3OiAhG+yowXbUUHvsopqKpDMiIRH11tG1/nm0aACdKRktGkLxbkc2JyPJOz+JamhEO6vR2bOQ7bloahRNU7oDtBCaEsZWMh1z/gnYB18G8s63FNmaQdqJTxBqXY8S9u3LxycIBz1z7jHo7LnsWLDQk4TO3gdz7jH7sllAbAXp8OHDmTp1KmPGjEHTND744INe55Lt6rLLLiMcDnPppZcmbC8qKuJ///sfb775JkOHDuWJJ56I92qZTCYgtqhh2LBhTJ48meOOO46srCxOO+203d4rPT2dWbNm8frrrzNw4EDuu++++GKHHVJTU/n888/xer1MmDCB4cOH88wzz8R/jssvv5xnn32W5557jiFDhjBhwgRmzZoVH/079dRTuf7667nmmms48sgjWbRoEbfddlvCPSZPnsx7773HJ598wsiRIxk9ejSPPPIIBQUF3/+gv8dBswrVaDQyYsSIhJUfv/vd71i2bBmLFy9m0aJFjBs3jvr6erKzd34iOeecc5AkiVdffbXX64ZCoR49biaTKf6iEYR9LeprpPWz36D4YiuUtIiPqK8eVAVJZyZ5/N8IN6/ENfIW9I5cIu2baf74kvjwqq30bEKNy4i0bcScfxxd6/6DhBQrWm9yogbb0cJeNE0hedw9SEh0LLs/tqjBlIxsTY8FcZqCIXUwsimJiKcW17Br6Vz5DwJb3wdNQ+fMwzX8D2iShN6aSdRTgyFtIKq/BUlvRtJb6aqYQ7R1Fekn/Rtjatn+fKyCsM/tuVWokLiYYe+vQt0b7rrrLl5//XXWrFnzvcfec889PPnkk9TW1u6Dlh04fsxr5qCZA5ednd1jrLusrIw33ngDgKysLACampoSArimpiaOPPLI3V5XBGvCgULTVKJddUQ9NUQ9VbEgStIhGWzonQWghNFUBZ05heSxf0Vnji3gUaP+hAUGvs3/w1JwIpaiU5AAv/ltJJ0RNeKDsBc13AWaimxOQdIZ8Jb/j+Sj/4h7yd9Qwx6QJCSjA2P6kVj6TMCz9hnQFEIta7AUTsYx5ApQoyDLBLZ+RKh5JbZ+Z+Jd/1xsHh0yoCb8bGqoc989SEE4RNhKTidj6uzd5IF76KAJ3rxeL9XV1Tz22GPcfffdvR7z+OOPM3LkSFJTU1m4cCEPPPAA11xzzT5u6cHloAngxo0bFx+X3mHz5s3xbsiioiKysrKYO3duPGDzeDwsXbqUq666al83VxB+FCXYgb/qXbo2vIS99EyindVIegs6WyaSzowkG0E2xj53y4Z48AYgGx1IOhOasqMnWSOw7ROomYt94C/RJxUTbl4JaEhGR6xcViSArd8ZBGq/ItKyEk+wnaTh1yMZHWhRP7I5GWP6kbR9cV08OJT1Jtq/+kP8vnpnfiyvXHcbtKi/O4BLDN5i++175bkJwqHOVnI61uJTY6tSfQ3obNmYc49BknXff/IB4pprruGVV17htNNO6zF8ukNFRQV333037e3t5Ofn8/vf/16U7PoeB00Ad/311zN27Fj+9re/cc455/D111/z9NNP8/TTTwOxiY7XXXcdd999N/369YunEcnJyfnOcXJBOBAEtn2CZ1WsRIumRpHNqbE5bV11sUBJ7k4VIskYkooTztU78rEWT8VX8UbiRdUwvoq3cI36I+6v7yXc/A1qxI/OmoU5ZyyyJY1Qd61TpWsb7q//RvKxDxKsm48SaMFWchp6Rx7Rzu6cR9K35+Ls/F4NudE7i1HDPXvajGlD0TvyfvrDEYTDnCTr9lqqkH1h1qxZ8UUJu/PII4/wyCOP7JsGHSIOmgBu5MiRvPXWW/zxj3/kr3/9K0VFRTz66KMJy3tvuukmfD4fv/rVr3C73RxzzDF89NFHIgeccECLeuvp2vBi/PtA7fzuwvP3ghpFiwaRjLEAztbvrNhw6i4knQH7oIvRNBV/1fughgEJY9pQLAWT6fzmUcy547EPvBCUMDpHHuH2TXjXPI2mdCfmlWQcgy8n6t6C4o8t+om4KxMCOMXXiCF1EJG29bE5brvkn/Nv+4SUY/6G++t7Y9UduumTS3GNugXZlLQ3Hp0gCMJh66BZxCAIh6pwezktH12csM2YORJT+hB85a+hBNswpJRhH3Ae5pxx6Cwp8eMUfzPh1vUEauaiTyrCmDYoNr/N5EK2ZeFZ+a/YooNvMeWMw9b3VIL1i0CLonfkE2xcRrhpZ54k+4DzMecdR9u869EiPiSjE8eA82hffCc6swtJt/ODkWPIFdgHnIca7iLatQ11R8oSRwE6a9peeGqCcOD7uYsYhMPPIbmIQRAOVZLOhKQzI5uTMecdj6w3x+ad6UxY+p2JMWUApowj0JlTEs6L+hpwL7mHUFNickpT9miSjvodsmzEXnIagZrPYgl6dxFuXonzyKswph+BZ+VMYAGyMQnJ4ECLdIGsx1IwCUNKGeknPUu4bT2Ktx59cn+ypr9DcPuXhJpXobOkYis5A0PaIGSDFdlgRW9LTOUjCIIg7HkigBOE/Uxvz8VWdgES0LniIRRfbAhT0luwD7wIQ8EJPYI3gGDdgsTgTY2iRrz4Nv03NvTpa8De/1xSj/07ntVPdNdTlTCmDcF55FUYkvqiM6ciyXrCLauJerdjyhmNbHJhcPXD4OqHJEkYkoowJBUl3NuYPiQ2tCsbkHQ930aUQBtKsB1J0qGzZSEbrHvykQmCIBz2RAAnCPuZpDNgzhpF0ztnoAbb4ts1JYi/6j3MOWMxJJcmnKOE3Pgq3965QVNRAm2ooQ4A/Fs/wJQ1irbPf4tr7F9IPe4RFH8LSBJ6a0Z8TlrUXYl72d9Rg61oSgRJkpBtOaQe9zCSbvdJOSVJQjL0rCOoKRFCjV/TueYJoh1bQNJhyhqF84hfY+xOQCwIgiD8fAdNJQZBOJSFGhajMyejd+ajs2ais+egdxYiGx14N76EEmhNOF5TImjRwC7fh+PBG4AW8XdXVNDwfPMPtIgfY0opxuR+O4M373baF/8FLeKNDeEaHUgGO1rYg3vJ3T3u+W3hjgqCTcsJta5DjcTaEmpZRdtXN8WCt1jDCDUspm3eDUQ6t+6BJyUIgiCACOAE4YAQbt8Ish5kQ2yFZ7weqUbU14Aa8SccrzMnY846GjQlVns0GmDXTO2mrFFEOqsBUIPtKP7mHveMempRdxOkRT3VRLvqet0X8dbjWf0ETW9Pp/H1STS+cRLt828m3LYJ78b/JiQV3kENthOs331NYkEQDk3V1dVIksSqVasAmDdvHpIk4Xa7gViKEZfL9aOuedxxx3Hdddft0XYejEQAJwgHAIOrH1rES9SzLfbVVUvUUx0rQG9JB0km1PQN7hWP0LHkHgJ18zHnH48a8hL1VKOpYTQ1Eq+wYMocTtS9eecNekn6qUa839kmLRrseY4axVf+Gu3z/4ji3VHqy493wwu0ffV7zHkTAZD0VmRLOsg7U40EG79GVaKoSvinPCJBEPax2tpaLr30UnJycjAajRQUFHDttdfS1tb2/Sd3y8vLo6GhgcGDB++xdr355ps9CtMfjsQcOEE4AJiyR9Ox5K5YiaodNA010Iqt3xn4qz/Cu/bZ+C7f5lcxpJSResI/YwsU2jYiySbMeROwlZyBd/Nr8WN1jjz0tqwe99TZsokl4+0lk5CsR2dJ7bE52rG5e9VqT6HtC3AOuwHH4MtRI17UQAs6Rx5aNIAS7MCUNpiORbehBtsxZ4/G3OdYDK6+vV5LjQZjPYBKAMngQO/IO6gyzwvCwa6qqooxY8ZQWlrKK6+8QlFREevXr+cPf/gDH374IUuWLCElpefiqm/T6XTxUpd7yg+57+FA9MAJwj6khNyEWtbgq3qfQN1XRD21aJpGxF1J8pi/IO+62lSOJejVWbPxrn5y5/buBQuB6o/xV3+MKWsUrjG3kz7lRZD0uJf9HcXXgKaEkWQDruE3oLNm9GiLwZGHuc/4XttpLT4VXS/VE5RAO2qwvddz9I4CiHjpXP4A7sV/wbPqX3TMvwXfljmYs0bhXvZ3grVfEG5ZjWfNU7TOvZpw2/oe14l4auhYfCctH8+g5ZMraPnkcnxb3kIJ9H5fQTjUKarKvIYtvFK1knkNW1DUnuXq9rSrr74ao9HIJ598woQJE8jPz2fKlCl89tlnbN++nT//+c9AbEHTnDlzEs51uVzxygvfHkL9PpWVlUyfPp3MzEzsdjsjR47ks88+Szjm20OoL774IiNGjMDhcJCVlcX5559Pc3PitJH169czdepUnE4nDoeD8ePHU1lZGd//7LPPUlZWhtlsZsCAATz++OMJ5998882UlpZitVopLi7mtttuIxKJJBzz9ttvM2zYMMxmM8XFxdx5551Eo1H2FtEDJwj7SNRbj3v5A4R2mQsmm5JIHnMHkY5ywi1rSBpxI5JsQFMjyHoL0UA7Xev/g6ap8cJVmhpFi8bmxAWq3sUx5Ao83zyKMXMU1qKTCZqcKIFWDI58LIWTkU3JsfOlxM9rsslJ0rDrkS1pBLZ+iBYNIBns2Pqdga30rFg+um+R9GZ212tnKzsf99J7UKOJ8/VUbz2elf/Ekn8Cwbovd24PufGsfpKUY+6N10pVAq24F98ZD+wMqYOw9DmWQPUn+CrewJw9BkvBSRhSSnv8PIJwKHqzei3XL51DnX9nmbo+1iQeOfo0zigcslfu2d7ezscff8w999yDxZK42jwrK4sLLriAV199tUeQsyd4vV5OOeUU7rnnHkwmEy+88ALTpk2jvLyc/Pz8Xs+JRCLcdddd9O/fn+bmZm644QZmzJjBBx98AMD27ds59thjOe644/j8889xOp0sXLgwHly9/PLL3H777Tz22GMcddRRrFy5kiuuuAKbzcbFF8eSrDscDmbNmkVOTg5r167liiuuwOFwcNNNNwEwf/58LrroImbOnBkPDn/1q18BcMcdd+zx5wQigBOEfUJTovhrPseQVILBVUqkcyvhxqWooU7aF9yKa9QtBLZ+gHfDC91nxIIkU/bo2IrSXYMVSQJJBk1BDXvjJa1C9QvwVfwP5xFXYsoYTrDxa9xL/4akt5B2/EyMaT3noOjt2biG3YC99JxYMXqDHb2jz26DI72zAHP+8YCMMaU/asRPoPZzVH9TLPBUQugs6WhGZ6x6g86ApiqEGpdi638OgeqPQSK2QlbSEWpcTtTXiNFYAkCkszoevOmT+mJMG0zbvBtiCyMkiUj7JnwVb5ByzN8w547bU/88gnBAerN6Led88XyPj0vb/Z2c88XzvDbx4r0SxFVUVKBpGmVlZb3uLysro6Ojg5aWlj1+7yOOOIIjjjgi/v1dd93FW2+9xTvvvMM111zT6zmXXnpp/L+Li4uZOXMmI0eOxOv1Yrfb+de//kVSUhKzZ8/GYIilRyot3Zma6Y477uChhx7ijDPOAKCoqIgNGzbw1FNPxQO4W2+9NX58YWEhN954I7Nnz44HcHfeeSe33HJL/Pji4mLuuusubrrpJhHACcLBLNyxiWDN5wS2fYqmhDBnj8Yx5HJ8W95G8dahBNqQLemogR1viBqS3ooxeQDG1IF0fvMokqxHko1IsgHZmIQabMeUcWR8tagW8WFwlWDKHE6g7isU73ZAQ4v66dr4Mslj7ui9V02nx5BU2Gu7NU1F6apDCbSAbEBnzcI16o94vnkEb/lsZIMDW99T0VmzkPQGQOoevg0iycbuQFNF05RYmS1Pdeyeeis6azqS3gLazuGgHftRo5j7jMe95K6dq1o1rXvVbQj3sr+T5noSvS37Z//bCMKBSFFVrl86p7cZqmjEPuLd8PXbTM8fhE7eO73R31dp02g0fuf+n8Lr9fKXv/yF999/n4aGBqLRKIFAgJqamt2es2LFCv7yl7+wevVqOjo6ULuHmGtqahg4cCCrVq1i/Pjx8eBtVz6fj8rKSi677DKuuOKK+PZoNEpS0s4azq+++iozZ86ksrISr9dLNBrF6XTG969evZqFCxdyzz33xLcpikIwGMTv92O17vlk5iKAE4S9LOLZRvuXfyDUsHPoNLj9K0JNy0k59n48a55CDbTgGvVHOhbdgRbpQtJbcAy+BO/G/2LrdwZoGlFPDZLOiCF1EPaBF6Ezp2BILSNUvwi9sxjLoAlEOqvwrHwMJBlb31NRw134q94l1LQCNdCG7Mj9we1Wwl0Etn6IZ+2zaGEPALIlFVvxqUQ8daApKP5GvOtnYS44CcfAi4h2bYsFWoCmhNC0KDpLOpKkT0gvokX9RLvqMOcfj86ys1aqbEpCDblRw51oEV9svp2s606r0t3zCCj+JhRvgwjghEPW/KaqhGHTb9OAWp+b+U1VHJddskfvXVJSgiRJbNy4kdNPP73H/o0bN5Keno7L5UKSpB6B3rfnhv0YN954I59++ikPPvggJSUlWCwWzjrrLMLh3lev+3w+Jk+ezOTJk3n55ZdJT0+npqaGyZMnx8/59jDwrrze2Gr8Z555hqOPPjphn04XWzi1ePFiLrjgAu68804mT54c78176KGHEq5z5513xnvxdrW36uCKAE4Q9rJQwxIUf1O8N2oHLerHX/UupswRGFL6Y84ZTfpJzxL11iLJJjq/eRQ12IZv8+u4jv4T/qr3iPrbsA84m66NL6H6W9BUBUPqQFzDr6f9q1uI+rajhbti961fiLXkNCz5kwi1rI4HPz+83UvpXPHwzvaqUUINSwk1fE3ymDvoWHQ7kqxHjUbwV7yOY/AlGNOOJNyyMn6OrLehRYPYB11MYNuniTeQJBwDf4nOElu4sSO9iBYNoimx/HZoGihRNFlDNjq7kxPvbI8gHKoaAl179LgfIzU1lRNPPJHHH3+c66+/PiEAamxs5OWXX+bqq68GID09nYaGhvj+iooK/H5/j2v+UAsXLmTGjBnxwNHr9VJdXb3b4zdt2kRbWxv33XcfeXmxhVfLlyfWhx46dCjPP/88kUikRy9cZmYmOTk5VFVVccEFF/R6j0WLFlFQUBBfuAGwbdu2hGOGDRtGeXk5JSV7Npj+LmIWsCDsRZoSIVDzBZLOmLjCtFuo4WsMKWUYUwYiSTKGpAIsuccg6U1EOytBklHDHjxrnkJn70PK2Dtwr3iEaGc1ir8ZNRjLE+f++j7UqDcevO3g3zIHvasvjkGXoqlhIp6aHkmBe6ME2+naMCtxoxpBC8fuEXFXYHCVxIKs7kDKt/kNkkbdhKVgUiwpMSCZXFiKpmDOOx5TxjD0jgJkUxLm3GNIPfYBwm2bdt7TU0Pn6qdxjb4NWW9BNjqhO6GxJOljK2l3fG+wobNl/uB/B0E42GRbHHv0uB/rscceIxQKMXnyZL766itqa2v56KOPOPHEEyktLeX2228H4Pjjj+exxx5j5cqVLF++nCuvvLLXocofql+/frz55pusWrWK1atXc/7558eHRHuTn5+P0Wjkn//8J1VVVbzzzjs9csRdc801eDwezj33XJYvX05FRQUvvvgi5eXlQGz+2r333svMmTPZvHkza9eu5bnnnuPhhx+Ot6mmpobZs2dTWVnJzJkzeeuttxLucfvtt/PCCy9w5513sn79ejZu3Mjs2bMT5s7taSKAE4S9SZLjhdx1JlcsiJOk+G7Z5MKUNYJQ6xqCjV/HKybsGLKMU6PoHQV0rfs3Smc1asgd683TVIypgwjWfYUa8iCbE3O3yZY0dJY0Qo1LaP7wIpo/OJ/2BX8i1LIGTdv9m6IW9hHt7GXOSXfTI+0V6GzfHo5VCTUsRecoIGX8/aQcG/tSgh20ffZrIh2bsZedj3PYDRhSBtK1flbCsKrib0T11uKreg/X6D8jW1JxHnU1OnsusiU1offSOfgy9PY+u22/IBzsxmcW08eahLSb/RKQZ3MxPrN4r9y/X79+LFu2jOLiYs455xwKCgqYMmUKpaWlLFy4ELs9tnL8oYceIi8vj/Hjx3P++edz4403/qz5Xg8//DDJycmMHTuWadOmMXnyZIYNG7bb49PT05k1axavv/46AwcO5L777uPBBx9MOCY1NZXPP/8cr9fLhAkTGD58OM8880w80Lz88st59tlnee655xgyZAgTJkxg1qxZFBUVAXDqqady/fXXc80113DkkUeyaNEibrvttoR7TJ48mffee49PPvmEkSNHMnr0aB555BEKCgp+8rP4PpL2fbMUBUH4WQK1X9I+/+bu77Rdeq00bKXnEPbUEm1bC4DeVULK2L+iRYO0fHIZu6brSBrxB9yL7iDi3hJbedo9JOoa8xc65v8RyWBG7yxCU8PdAZ5G8pg78Kx5pkcSXElvJe2ExzCmDuy1zVFfE62fXYni2zk0gqYQ9WxDDXmwl51PpLOKcPOq+O6Mqa/R8fXfYJcKDvqkvujt2firPkA2OUkkkTbpcUwZRwEQbFhC2xfX7dxrsGPteypaNIBv8+tIkg59SimOgRdhyhqNzrR3eh4EYU8JBoNs3bqVoqKinzQPascqVEhM3LMjqNtbq1B354477uDhhx/m008/ZfTo0fvsvt82ZswYTjjhBO6+++791oa95ce8ZkQPnCDsZca0IVgKT+7+TkLSmUBnRDKnonPkEW1bFz826t5C57IHkC2pmLJHJVxHU0LdPXhyQi9epH0jxszhIOmRZB2ywY7e3gdz7ngi7kpQepbE0qJ+vOWvx4LJXuhtmdhKz07cKOnQWTNBZ8CYOYJw8+r4LtuA8zAkl2LJPTbhlGhnJeY+x2HJP+5b15JxHvkbDMn945t09j7IpuSdbYx48W36L6H6hdgHnE/6lBdImzgTa8GJIngTDgtnFA7htYkXk2tNStjex+ba58EbxIYaZ86cyZIlS75zWHNvCYVCLF++nPXr1zNo0KB9fv8DjeiBE4R9QAm2E2nfhH/rR2jRAOacMcimZEKt65B0BtAU/NWfovobAYn0yf9GMtjp/OYRQvVLAA29qx+WvONon3d9woIEyejENeoWutY83Z1oN8bc5zjCrWtR/U3dc9IkDCkDMbiK0bQo0a46Usbd1WuZLQDF34Jn9ZP4t37Ajs//ks6E88irUUKd+Da9gmx2YR9wAaaskRic+SjBDiKdVYTqFwES5pyx6F3FoCrxHjvJYI3Nh3MWIht2To7WNI1g3Ze0L7wd1F0CS9lIyri7MPc5Fkna3YCSIBx4fm4P3A6KqjK/qYqGQBfZFgfjM4v3WuqQA9mcOXO46KKLOPXUU3nuued+1ly7A9WPec2IAE4Q9jEl0I572f10rXmaHYGRbEnDNeoW/Fs/QvHWkXb8Y5iyRqCGvUS7alDDXchGB+jMdC77O77y2QnXTBr1ZywFx+OvmEO4dTWSwYFz+HV0rXmacPM36GzZ2EvPIdiwmFD9IiSdGWvxL7CXXYjBtfs5NEq4C6Wrhoi7CklnxuAqRu/IR5Mk1GA7ks6MrsfQ6E+nqVEiHRUEauYSaS/HkNofS94JGJL7Icli0bxwcNlTAZxw+BABnCAcoDRVwbPqMbrW/ZuoZ+ciAUlvRrZmkjrhIaKeasw54zCm9p4FPeptIOLeQnD7fJB0WPqMR5fUF4MtE1UJowbdqMH2WNoOSaZjyV9JOeZvuJfcFZsb101nTcecO57kY+45IPOpaZometyEg5oI4IQf68e8ZsRHWkHYhxTvdnyV78QqKujNaNEgktGBhES0o4Jg7RcEtn2Cf8vbuEbdgilnTI+yVnp7Nnp7NpZdCtGrSohwRwVqsAMkiUDtPAJbP8BSOBnnkb8hsO1jlO5yV0gykt6CZHQSbttAuHk1+qIDL4DrLXhrCnho8HehoZFhdpBrS+rlTEEQhEOfCOAEYR9SowG0iA9kPTpbDkqgFUnWoXhjqz2j/ib0ScVEPdtoX/An0iY9hTF1wHdeM+pvomvtf2Jz1dQIir8ZvbMQx+BL6Vr/As6jrsG/5W1kYxLIMrIpGUlvjifF9W/9AEvBiT1Wqu5KUxWiXTVE3JVoER/6pGIMznxk074JoCKqwuLmah5e9yX1/liKlXSzjd8NHM9xWSWY9OKtTBCEw4t41xOEfUg22JBNLtSQG0lnRGdNJ9pVEy9Ib3T1I1A7D4itOg3Wzv3OAE5TIng3vIS/8u3Y92oUNdxFuPkbOld0YB90SawmqqrGevp25KWTdgnWvrWqtbd7BGrn4f76XrToziTAlryJOIddu9tFEHtCU8BDrddNU9BLa9DH4OQsmgJdKJpGS9DHHd98zD/HWBmZnr/X2iAIgnAgEgGcIOxDOnsutv7/R9eap7q3aLGccJKMbE5FNqeghjrix4faNqBpao9h1B2iXbX4K9+Nfy8RG3rUgGjnVnSWVNBZMGaNwFf+SiyFiaxDNtjiQZy1eOpur69pGuG2DbQv/DNoSkIpq0DtF7GevqG/2itz1da2N3DbNx+y3d9Jg78LTzjIsdnFXNJvFP/Z/DUqGioaL1d+w+DkbCz6Q29FmiAIwu6IAE4Q9iFJkrD1nYYW9uCteBNJjSLJevSOQpxHXYN38+sJxxuS+u42uAJQ/M0o/ka0aABkA7LBjmxOQfE1IunNKN7tdK17DudRvyNYMxcl0ILirUezpKEzp2LKGoExrfdcUlF/E8G6+YQalxPt2AyyAZ01A50lFU2JABq+LW9h7TsNvT0nfl5EibLZ08rchgq2edsZ4sphXGYRJc5UJElC1VQqPW0sbtlGubuZ/q4MRqcXUOJMRe7+Wet8bm5Z/h4tQR+qphFUImhofNlQidNgYlhaHxY1V2OQZSq72vBEgiKAEwThsCICOEHYx3SWNBxHXIWl+Beo/lbUiJdQ0wq8m/6LGurceaCsx1I4ebfXCbdtINKxGSXQBmoEADXQis6WhWS0x3rbkFDDHjqXP0DSyBuJdlYTrF+MpDfhHPprzH2ORd9LTVEl3IVn1ZMo3jq0aACdLQt72QVIBjtaNIjenk3EU0Ng2ydoSmjnearK3IYt3LnyE5Tu0lfzG7fy/JZlPDBqGiPS8ljaUsMty94noMTa/Gn9Zv6tW8pDo6aRZ0+m0d9Fja+D7f5OjLIeWZIwyDpCShQVjXdrNvDXYSfz38pvsBtM9HdmYNWJ4E0QhMOLCOAEYT+QdUaMrhJwlaAE2gm3rkMNe+P7JYMd18ibMCaX9nq+GurEvfwhZJMTS/4JBKo/6t6jofga0DnykA2OWL1TNYpkdNC17j/oXaWY844DNYrOUbD7JL5dtQSqP0JnzcCcdxymnLF0LnsgVlpLAkk2Ysoei/OIq5H0tvh5Nb4O7ls9Nx687eCLhrlv9Vz+PnIad638NB687ZBlcbCmo4E7Vn6CpmkMS+1DtbeDdLOdJIOZZJMFTyRIWFVAA0VTUTSVznCA0RkFtIZ8OIwiTYMg7CkzZszg+eef77G9oqKCkpKS/dAi4dtEACcI+5nOkoJz6K+xFk0h6t2OJBvQO/PRO/J2P/fNu51I23qQdDiGXIYa7CDUuBQ0FU2JIOutJI/9C+0LbgXZgBYNIRsdKJ6tKJ6tANhKTt1tm2I56jQUfxPGtKG0fHIpqq8ptlOL/U+ocQmGlFJs/U6Pn1fV1Y7/W8HZDjU+N3V+N60hH7AjCNPQSRKn5JXxh6/fJd1iJ8VoIdvmRFFVGv0e9DYZm97AuIwigkqEOl8nEhI6SeaikhE0B718WLeJqwaMFXnjBGEPOvnkk3nuuecStqWnp++n1gjfdvjV4hCEA5BssGBM6Y81/3gsfcZjcBZ859w3TYmAGkWLdNG5ciam7NGkHPcwSSNvJnn8vSQd/SeUYCdqsA0t4kUNtXenMPGiRQNIBhs6e5/dXl/SW7r/30qkfRNyd966nQfo0FnTCTUtI9pVF9/87Z61bwsrCoqm0hUJUetzU93VjstgZmHTVvxKBFXTCKkKiqqQb3MBMCApnavLxlHsSCHL4uTaQeMZkdaHJ8aeiaZpfFS3ia8aq3CHAz/gSQvCwUdTFXwb59G5+BV8G+ehqco+ua/JZCIrKyvh6x//+AdDhgzBZrORl5fHb37zG7xeb8J5zzzzDHl5eVitVk4//XQefvhhXC5XfH9lZSXTp08nMzMTu93OyJEj+eyzzxKuEQqFuPnmm8nLy8NkMlFSUsK///3v+P5169YxZcoU7HY7mZmZ/PKXv6S1tTW+/6OPPuKYY47B5XKRmprK1KlTqaysTLhHbW0t55xzDi6Xi5SUFKZPn051dfWee4B7mQjgBOFgJOtQI36inhqUzmo8K/9Bx4I/46t4E883M0FV8W/7lKTh14Eko3VXaIj6moh21WHv/3/d9VF7p08qQDLYkY12FF89SrAN2ZSEztEHvSMPfVIhsjkVNC0htUiRPYXd9YHZ9SYyLHb8kTB1PjeBaARFU8mwONjU2Yyiqei76zu+U7OeO46azG/LjmFoSg6/XTKH5yqW8XlDBY+un8+Vi94goqqs6qgHwCjr0H9HwCsIByvP8jepuKGQbfdNZPuT57PtvolU3FCIZ/mb+6U9siwzc+ZM1q9fz/PPP8/nn3/OTTfdFN+/cOFCrrzySq699lpWrVrFiSeeyD333JNwDa/XyymnnMLcuXNZuXIlJ598MtOmTaOmZmd1mosuuohXXnmFmTNnsnHjRp566insdjsAbreb448/nqOOOorly5fz0Ucf0dTUxDnnnBM/3+fzccMNN7B8+XLmzp2LLMucfvrpqGpsekckEmHy5Mk4HA7mz5/PwoULsdvtnHzyyYTDYQ4GopSWIBxkFH8zHV//HZ0pic4VD8U2ynp0pmTUqB9j5nDMOeOQJBnJko6khgjWfYUS8qC3ZWHOHUegbj46SyrJY/4Sywv3LZqmEqydR8fSv2HrdzodC/4c2yHJ6B19kPSxcySdmfTJ/4nXU+2KhHh43Ze8X7uhxzWvGTiOSdml3L36M17csjy+fWxGIU6jma8aq8i0OBiQlM7kPgNoDngZkpzN779+G72sQ9U03OEA3khs0cSE7L4McGbwVVMVNw89njMLh+7BpywIP9/PLaXlWf4mdf88ix01k3eKfUzq89v/4Rxxxs9vaC9mzJjBSy+9lNDuKVOm8PrriSvl//e//3HllVfGe7/OPfdcvF4v7733XvyYCy+8kPfeew+3273b+w0ePJgrr7ySa665hs2bN9O/f38+/fRTJk2a1OPYu+++m/nz5/Pxxx/Ht9XV1ZGXl0d5eTmlpT3nDre2tpKens7atWsZPHgwL730EnfffTcbN26MT70Ih8O4XC7mzJnDSSed9MMe1B72Y14z4iOrIBxkIp5thOoXoEZ8uEbfit5ZiM6cjBrxYS2agjV/Ep3L/o576T0EKucQbt9M1NeM86jfoiHjWfM0kbb1BLcvJNpV0+s9JEnG3OdY0k54DENyfwypg9BZM9A7C+LBGxBLIeLIi3/vMJj4zYCxXF02jgyzHRmJAnsydxx1EtPzB1Pn7yTP5uKGwRPItjgBqPF2cH7xMEw6HbkWJ8dn9+OPy97nhS3L+KKxglqfm4aAB70ko+7yeXN+YxX9XRkMS81lbEbBXnragrB/aKpC40vX0jN4I76t8eXr9upw6sSJE1m1alX8a+bMmXz22WeccMIJ5Obm4nA4+OUvf0lbWxt+f6wnvry8nFGjRiVc59vfe71ebrzxRsrKynC5XNjtdjZu3BjvgVu1ahU6nY4JEyb02q7Vq1fzxRdfYLfb418DBsQSnu8YJq2oqOC8886juLgYp9NJYWEhQPweq1evZsuWLTgcjvg1UlJSCAaDPYZaD1RiEYMgHICUkJto5zYiHeVIBjvG5NJY8KQzoAbaAAjWzUNnzSJp5M2AStRTjb/601glBy32ph6omUvKuOOR9GaCtfOItK7eeRNNhe+YsybJeowpAzCmDEDvzMf99X1E2rp71mQD1qJTsJddiPStFB7pFjsX9xvJSbn9CSlR7AYjaebY0IdOknhr21rybcn8esAYnEYznnCQVe3b+XX/saSZrfzlm48JKBHMsoFANIosyUQUheagl2yrk0A0QmckNt+t1JnOtLxBZFkde+KxC8IBw18+n2hH3XccoRFtr8VfPh9b2XF7pQ02my1hxWl1dTVTp07lqquu4p577iElJYUFCxZw2WWXEQ6HsVp79ub35sYbb+TTTz/lwQcfpKSkBIvFwllnnRUfurRYLN95vtfrZdq0adx///099mVnx+o6T5s2jYKCAp555hlycnJQVZXBgwfH7+H1ehk+fDgvv/xyj2scLAs1RAAnCAeYqK+RzhUPE6z7audGnQnXiBuxFJyEbE2Lb1b8jWiRLtoX/DmeC07vyAeTCzXiRUJPxL0FY+ZIJC1K1FdPtH0ThvQjsOSMw1/zGb6KNzFmDceUfkRCb9qujMmlpE54iKh3O1rUj86UHEtVot99F3+21dljW441iQyznRpfBzVbOxL2jUkvoH9SOk6jBYfRjE6WGZKcHZ9T54+GUTWVJKMZp9FEjtXJAFc6mRYRvAmHnqi7YY8etyesWLECVVV56KGHkLvnq7722msJx/Tv359ly5YlbPv29wsXLmTGjBmcfnpsBbvX601YPDBkyBBUVeXLL7/sdQh12LBhvPHGGxQWFqLvpQ5yW1sb5eXlPPPMM4wfPx6ABQsW9LjGq6++SkZGBk5nz/eqg4EYQhWEA4imafgr30kM3gCUUKwHzL0Fg6MAfVLxt88EYvnj6O4Rk/QWJJ0JJdCKb+OLtH31Byw54zBljcbgLKB9wZ/xbXoFf/WHuJfcTevcawh3VOy2bTpzMqa0wZizRmFI7vedwdvuZFud3DR0IkZZl7BdRmJK3gACSpQkoxmX0YIsSXgiAUak7QwqVW3n8b/uP5ZMy8H5xisI30fvyt6jx+0JJSUlRCIR/vnPf1JVVcWLL77Ik08+mXDMb3/7Wz744AMefvhhKioqeOqpp/jwww8TUvz069ePN998k1WrVrF69WrOP//8+OICgMLCQi6++GIuvfRS5syZw9atW5k3b148WLz66qtpb2/nvPPOY9myZVRWVvLxxx9zySWXoCgKycnJpKam8vTTT7NlyxY+//xzbrjhhoR2XnDBBaSlpTF9+nTmz58fv8fvfvc76uq+q+fzwCECOEE4gCi+BnwVb/W+U1MI1n6BzppOytg7MaTE5nyEOyow5x4TSw1iywAljBpyo4W70CI+zLnjiHRUgBqla/1zWAtPwrP6SXTW9Fgh+x339jfhWfU4asTf+/1/JLffzeqmCt6uWMQX21aytb0ORY0yLqOIp8adzTlFRzIkOZupeWU8Oe4sjssuodSZlnCNt7et5/y+w7ig73BcRgs6WaLInsLfRpzChKy+e6SdgnAgsvYfjz65D+x2XbeEPiUPa//x+6xNRxxxBA8//DD3338/gwcP5uWXX+bee+9NOGbcuHE8+eSTPPzwwxxxxBF89NFHXH/99QkT8h9++GGSk5MZO3Ys06ZNY/LkyQwbNizhOk888QRnnXUWv/nNbxgwYABXXHEFPl8sh2ROTg4LFy5EURROOukkhgwZwnXXXYfL5UKWZWRZZvbs2axYsYLBgwdz/fXX88ADDyRc32q18tVXX5Gfn88ZZ5xBWVkZl112GcFg8KDpkROrUAXhABLp3Ebz++fS+8RlMPeZQOqxsXkfSrCdaFcdWtgHso72+TejRQMo/ibUYGx40pQzDkufY/Ftfh1NDWMpnoYl7zgi7ZuQ9Ba0aIDAts9Q/N1JeiUd6Sc/jzG590zrqhJC8dSgBFqRdCZ0jlz01p6luLZ7GnlwxTt8sW1FfJvT5OCuYy7imNyB6GQ9mqYRVqMYZF28BmpL0Msfvn6XDe6m+HkSUObK5Jd9h1PsTMVpMJNqtn37loJwwNlzq1Ah8T1h769C3ZOuuOIKNm3axPz58/d3Uw54P+Y1I+bACcIBRDba0DvziXq29brflHFU/L915hR05hQgNvSaNukJfFveJlD9EZotB2vRFCSjE1/5qyDrsZddSKR9I62f/QY10BK7hi2LpBF/IFDzOQZXX/RJhSjeOiJoPea4KYFWvBtewlvxRny+nc6WQ/LoP2PKHB4/LhqN8kr5woTgDcAT6uLmr/7NCyffQGlqAZIkYfr2Agiznb8OO5mnyxczr6GSsKrgMlo4PqeEo9L6kGL6YZOkBeFQ4BxxBn1++z8aX7o2YUGDPqUPWRc8esAGbw8++CAnnngiNpuNDz/8kOeff57HH398fzfrkCN64AThAOOv/piORXf02C6bkkg74Yl4zrXeaGqUcPsmfOWvEW5ZHe9Z07tK0Nty8G76L7LZhbJL9QTJ6CTj5Odxf/03Qs2r0DvzkfQWrIUn4xhyebxeateGF/Cs6vkmLBkcpJ/4VLxd1R11XPDhQ/jCvQ/F3jTqHM4feMJ3PoOQEqXO5yaoRHEazPSxJYkyWcJB5+f2wO2gqUpsVaq7Ab0rG2v/8Ujfmkd6IDnnnHOYN28eXV1dFBcX89vf/pYrr7xyfzfroCB64AThIGbKGUvSiBvpWvtv1FBsKNSQMoCk4Td8Z/AGsdQfemchens2gW2fxLebs0fTufIf6CxpSLIeVW9Giwa7z9ERrPuSqLehe78B1Cj+qvdA0uMacUOs923T7F7vqUW6CDV/E29bUInsNngDqPG07nZf/Bno9PT91nw4QThcSbJur6UK2Ru+vTJV2DtEACcIBxid0YGt35mYskejBtqQdHp0tlx0ZtcPPN+ObcAFGDOH4698DyXQiiFtELLBjqQzxY6x56AG2lHDHpBkIu5KDCn9UbpqE67lr/4Qe/+z0TQNNdi+23tGdlm9atMbSbUm0+bv6PXYASm5P+jnEARBEHZPBHCCcACSJAmDow84dl9w/rvoTE50WaMwZ41CUxUUXyM6a1a8R0+SjehsmciWVLSwB0NyP4KNyxJWpQKghFBDHnTWdGSjMxbw9cKQVBj/71xnNr8ceDyPLn+jx3EpFhdD00TVBEEQhJ9LpBERhEOcJOvQ2XOw9T/n23uQZAOSORWdPTe+sCHxEB2SwRo7v/SsnvuJ5ZszZY2Mfy/LMlMLh3Hp0FMwG3bO4ShNLeLRiVdQnNJ7smBBOFSJqebCD/VjXiuiB04QDgOSJGErnoYa7MC35U1QowDobNm4Rv4Bz5pnez3PnDMGvSMPSZKx9p2O4mvEX/1RrAwXIJtTSB59W4/Ewmn2NK4aOoVTCo6iLdiFSW+kjy2ZNLuY1yYcPnS62EKDcDj8veWhBAGIl/ra8dr5LgftKtT77ruPP/7xj1x77bU8+uijQGz1xu9//3tmz55NKBRi8uTJPP7442Rm9sxTJQiHIzUaROmqRQm0xPK42fugt2USal5F+8LbEnrhjGlDcI2+FYNz55CnEvahdNWg+BqRDBb09jx09hyxQlQQeqFpGjU1NUQiEXJycuLlpwShN6qqUl9fj8FgID8//3vfVw/KAG7ZsmWcc845OJ1OJk6cGA/grrrqKt5//31mzZpFUlIS11xzDbIss3Dhwv3bYEE4CES99UQ91SjBDvT2HPSOAnSWlP3dLEE4qIXDYbZu3ZpQKkoQdkeWZYqKijAajd977EEXwHm9XoYNG8bjjz/O3XffzZFHHsmjjz5KZ2cn6enp/Pe//+Wss2JzdTZt2kRZWRmLFy9m9OjR+7nlgiAIwuFIVdX40JggfBej0fiDe2oPujlwV199Nb/4xS+YNGkSd999d3z7ihUriEQiTJo0Kb5twIAB5Ofnf2cAFwqFCIVCCdtMJhMmk2nv/ACCIAjCYUWW5Z+VyFcQenNQDcjPnj2bb775pkfxXIDGxkaMRiMulythe2ZmJo2Njbu95r333ktSUlLCV2/XFwThwBZVVLqCEcKKsr+bIgiCsNcdND1wtbW1XHvttXz66ad79JPMH//4R2644YaEbaL3TRAOHhFFZWOzlzlrGyhv8ZLtMHPWETkMyXJgMx00b3GCIAg/ykHz7rZixQqam5sZNmxYfJuiKHz11Vc89thjfPzxx4TDYdxud0IvXFNTE1lZWbu9rhguFYSD24Kt7fzpg41E1dh03s0tPr6sauO6Y4s5a2g2Jv2BWzNSEAThpzpoArgTTjiBtWvXJmy75JJLGDBgADfffDN5eXkYDAbmzp3LmWeeCUB5eTk1NTWMGTNmfzRZEIS9rMET5KEvK+PBm8UgMzLPhdNsYFWdm6PzXJSk2/dzKwVBEPa8gyaAczgcDB48OGGbzWYjNTU1vv2yyy7jhhtuICUlBafTyW9/+1vGjBkjVqAKwiGqwROkqSu2CGlsYQoDM+3MWddInTtIQYqFLW1+cpIsWI2iF04QhEPLQRPA/RCPPPIIsixz5plnJiTyFQTh0NTd8UZZhp0Uq4Hfv7Mhvm9ru5+KZi/3/mIgpw3OQpZFsmFBEA4dB10eOEEQhB3q3AEue20VZw3N4c8fbMIf2WUFqgRFyRbS7EZm/d9RFKRY919DBUEQ9rCDKo2IIAjCrnKTzPz2mCIiipoYvAGpVgM6WabDH6GuM7ifWigIgrB3iABOEISDliRJnFCSTlGKFZtRh14nYTHI5CSZsBh01LoDVHcEqHEHWLW9k6giyhkJgnBoEAGcIAgHNYtRx4AMO/3SrRQmW8hNMuMPK9S5g4SiKg6jno5AmKvfXMOyWvf+bq4gCMIecUgtYhD2H03TqOkIUNnmpyMQpjDFSmGylXBUZUNzF9/UdZJiNTKmMJm+qVaRm0vYo/q4LFx7TDEPzKvEG1ZwB6IAyBL8bnwRX25pJaxoPLZgKwMy7CRbv79QtCAIwoFMLGIQfjZN01iyrYPbPtpEZzD2h1MnS9w8sYTnl9Wy3bNz/pEswc0TS/jFwEwRxAl7lC8cZW1DF08uqmZtg4fCFCu/KMtgaY2bb7Z3xo976fxh9M8QueEEQTi4iR444Werbvfzpw834g3tnEQ+ok8Ss1du5+taN9lOE7IUS+GgavD3L7ZQlumgLNOxv5osHIJsRj2jC5Jp9gTJS7bQ4Q/z7Nc1RJSdn1ElQBLZRARBOASIAE7oQVE1at0BOgIRzHqZPkkWHObYS8UbilDVFmBRdTuBiMLRBcmgQSCSODl8aLaTW97fRERVSVOMmPQ7/2oqGiyt6aBfmo3KNj/La93Ue4IMznYyOMtBnsuyT39e4dCSn2LlrrkVve4bku0k0y5K5wmCcPATQ6hCgjZfiDfWNPDfldvxhRUkYFifJH4/oS+ZDhMvr6jjP8tqE84pSrFyXEkqz329c/ufju/H2+sbWdfgIaio9E+3M64wBYdZT1hRcZr1lKTa+P276xN6SDLsRh46dRADMkTvnPDTeIIRnlq8jddW1ydstxl1PDJ9MEflJu2nlgmCIOw5IoAT4lRV4/nltTy+qLrHvgKXheuOLeb6d9b32NcVijJ1YCY1HQFyHEamDc5mTb2HyjY/gzIdDM1xsLrBwyNfVtHgCeE06fnVmALyXRaeWlIdz6a/w5E5Th4+dRAOs2Ev/aTCoa7DH2FVfSdvrKnHHYgyrE8Sp5Rl0D/djiTGUAVBOASIIVQhbntngJe/qet1X7LVwBtrGnrdZ9bLfLSpmT+dUIJBp+P0WcsIhBVkWUJVNXKcZp4++wiM3aWMQorKq6u2U5Jm46TSdD4qb0m43up6D3WdQcpEACf8RMlWAxNL0hhbkExY0bAZdaKUliAIhxSRB+4w1+EPs67Bw4o6N+3+CBn23tMrWAw6Grp6ZrNXVA1JkrAb9fRNtXHNm2vxhxU0QEJCr5Op6wxy+8ebuHFiX5xmPblJZsKKxhdb2ihOtfHtP6saEIqKhKuHujZfmK3tfurcAdRvd8PuISaDDodZL4I3QRAOOaIH7jC2pt7D/Z9XsLnVB4BJL3NCvzTyXFY+39KacGyNO8AJJWlUtvkBiChqd76tCJoGvyjLYLsnRFcoilEX+1wgSxKqpoEEy2s7yZpsJsdpQpIkot1/sLd7gthNerpC0fi9nCY9yVbR+3ao8oWiLNrWwbNLtlHe4sOsl5hSlsnJAzLIsJsocFlEwCUIgvA9RAB3mNra7uP3767HHYjEtwUjCs8sqeHa8UVkOkyUpdsYkZcMwNoGNxNKUnlvYxNNXSEaPCF84VjaEL0sMWVAOi3eEEA8ZcgOUvf/hCJqfP6RXpbIdJgoTrHizU9iflU74e7FDBePyCMvSaxEPVTN3dLKXZ9uJhRVqe8MEoyqrGv0snBrOyeWpjGmMIWxBSkiiBMEQfgOYgj1MLWspjMheINYXcl0m5E31jZw+4mlGPU6/vZ5BX/7vAKDTodOkvjn6bFVfIHuwuEDM+3cN7WMT8pb6JtqRdNA1TQ0tO5rxoZSHWY9FqMOf1ihIxChxh3AF47S4g2xscnLr0YXUJRi4Q/H9eXUwZnij/chqsET5KnF1aiaRrM3RHCXofJF1R24LAb+8nE51R3+/dhKQRCEA5/ogTtMrWno7HW7US/jDyus3N7JQ19WdQdg8MC8Kt5a18jLFwxjTEEyYwtT0IDmrhBvrWlgSlkGiqpxSlkGc9Y3IhHrZZMlCZ0s8dtxRby3oZGuUJSG7mHT204s5fPNLWxtD/Dfb+r55xmDKU0XGfIPZW2+MM3eMGFFwxtWeuzf3OLDatSxqdlLcaptP7RQEATh4CACuMNUn+8ZomzwhNB/qxesotXHu+ubSDIbePbr6vhQ6XF9U1la08FfPi7nlQuHU5hi4fnldXQEIhS6zFwzvoij812sru+iK6SQYjFSnGpl3pZWajqDmPQy7YEwW1p9PyiAC3X3/pkMohTXwcagk5GIlV+jl3ULNqOOcFSlxRve520TBEE4mIgA7jA1oW8qzy+vjS8m2CGsqJxYms4n5c3xbRoaqgZRReWNNQ08dOpAtncGSbeZMBtkBmU5eHLxNjQNrnhtNZcfncfL5w8DwB9RsOhlrp2znt8dU0hFi48Ov5sad4CCFAvWXYKwlds7OaUsc7dt3t4ZYMm2Dj7Y2IwkwdSyTEblu8jZy/PlfKEodZ1BAhGFJIuevCQLep2YffBT5DhNHJWbxOJtHcgyqLssNtbLEvnJVt7f2EzfNNH7JgiC8F1EAHeYKkm1ccdJ/bnns81owITiVApTrFj0Mul2E42eIOsau1C1WP3SiBL7SyvLEhowMNPBN3Wd9Euz0e6PMDDDzvjiVFKsBuo6g9zxSTmdgQgdgQgPTh2ISS/TFVaoaPHh7+5B+3bqiHRb7yWOvKEojZ4gt39cTkX3ilmI5YsbmGnnb1PKyN1L5bcq23w8+lUVX9d0oGqxHqKzh+bwf0flkLab9gq75zAbuPbYYrbNWYcnGKXVF+tpkyW46fi+zK9qo2+qjX4igBMEQfhOohLDYSyqqNS4AzR6gvz9i0pWN3iAWGA1NMfJuMIU7pm7mWBUY8fL5O4pA9juDtA/w0GbP8zaeg9XH1PIG2sa+HRzKxFFZWS+iykDMnh2SQ1rG7v41+mD6QoryMCSmg5eXx1LCFyYYsHS3QOnk+A//3cUA7N2ltBq94dZVutm3pZWjDqZZ5bWkGw1YNHrEgqS/+G4vpxzZO4efz5NniDXvr2eyjZfj32XjMzj12MK0YnFFj9JdbufJds6+GJLK0a9zLDcJJZsa8eo13HdscX0FfPfBEEQvpPogTuM6XUysgS3vL+R1Q0eujvZyE0y8/mWVvSyxNlDc/i0ohU0KEixMLKPiyXVHWztCCAB1x9bzL8WVvPp5pb4+e+ub+KT8hbuPaWMJxdVs6rBw5OLtnHxiD5cMjKPVl+YTc3eeL44nSxx88QS+qZZ423rCkX499IaXltdzyllGXywoRlPMEpXKEqfJDN2kx6TXibTbmJ+VTtTBmTs8dJbW9r8vQZvQHe7MilMsfa6X/huhSlWClOsnH1EDo1dQVp8YcYWptAnyYzNJN6WBEEQvo94pzzMVbUF+Ga7J2FbY1eQgmQrq+s9/HlSP9Y2dnFSaTqTB6TjDSn0S7Oh18XmvnmCUba1B8h2mtneGUTVNKKqRjgU5YNNTdxzygBufn8jZr3MB5uaGV3gYnhuElMGZFDvCdI31cbYwhQKUyyY9Dvnw21rD/B6dzFyCYlI93CrpkFnMMKMkXk4THrKW7yk20xs6whQmi5j1P/8hQ3+sEJNh5+mrhC/Gp2PN6TwyeaW+HAfgC+s0BmMfMdVhB9CJ0vkJlnI/YnzGCtavbT5whh1MvnJVtJsvVcSEQRBONSIAO4wV9cZ6LHNpNfR6gvjC0exGnSMK0wm2WLgvrlbWLStA6tBhycYxW7SccXoAo4tTuGrqnYKk610haN4Q1FMepnKNj8NnhAmvUy63UiNO8CCrR24gxE+29JKpt1ErTvI8f3SEoI3gDUNnvgixYpWL8cUpbCl1RebKzWxH7NXbmddYxcAaXYj729s4pbj+3HygPQe1/oxmr0hnlpczfsbmmgPRKnvDNInycxNE/syZ30jDZ5YsmKdRHz4V9j32nwhPtzUzH2fb6G6PYAswaR+6fz5xH4M7+Pa3807LNR3Bljf6GXFdjfJFgPHFKVQnGLDYhS/F4KwL4ildIe5LEfPifhWo44Of4SwotIVjrK51UeLL8wnm1viwRmA06znmSXb6J9px6iXMBtkkrqHv3xhBU8gijccBQ3a/REkJMKKilEnE4rG5t9taOpi6Tb3bttnN+koSrFyxpAsBmbaOaFfGou3tbOme76eXifhNOmJqhr3zt1MVdtPTwCrqhr/W13PO+ubUDQw62VkGeo6g9z2UTnTBmbFjx1TmCKqRexHX2xp48r/raW6PfYBRNXgk80tXPjyN2xs6trPrTv0bW33ce2c9fzpw428saaBZ5fWcMnsVbyzoZFAL/n9BEHY80QAd5grTrVSkpY4j0vrrqRwXN80trT4GFeYwgebmjDoZHSyhERsAYLDpMdlMTB3cytDsp0A8Un9UUVjUmkaaxs8RFUtvvJ0eB8X276VZf/LytYeK1KHZjspSbVy4bA+zK9q59JXV3PJqDzOH5bLF1taMegkXBY9fZLMmLrn0ikaLN7W8ZOfRV1ngDfWNMS/N+llcp1mZBk6g1GaukKkWo2Uptv43TFFoqdhP6np8PPgl1t63VfrDrK05qe/BoTvFlYUNjd7WV7byeQB6UwsScOgi/3Oa8BD8yqpahdVNARhXxAB3GGuJM3OM2cfQb/0nav+ZEliVH4y/3dkDguq27Hodbj9UXSShEGWMellLAYdsiRh0esIRNR4PjedLJFhN5GfbOa4vmmsbehCkkAnSYzIi5XgCkTUhDYkWQw9SmcVplg5f1gf/vDuRlbUddLqC3Pz+xsJRmI9eFkOE8GoSq07QKs/HM9n19pdj/WnCEQUPKEoEEubEoqqGPUyhclWcpPM+MMK9/+ijEemD6ZIrJL8XqFIlDX1nXxe0cKSbe3Udwb3yHU9gSgZNhNnDc1mTIGLby8EXlx9eARw6xs9fLCxiWeXbOPjTc1savZ8/0k/Q5MnyEPzqrjgv99w6auruP7t9axv7OKKowvivfIasHBr+15thyAIMWIOnMDI/GTeuHgEVe1+2n1hcpLMrN7uYdbXtUQUjYauIIOy7CzY2oFOluKrRyE2hHlS/3SG9UkiGI0FPRNLUhmU5eSVlXXYTDoyDCbOOSKHZKuBF5bX9bj/tEE9k/fKEny4qZkMu5H2QISoqpJiMbKp2YtZL9MVUlBUDUWFFm8YTYM0m5EjcpN+8nOwGnRYjTrq3EHafLGgUCeDy2wg2WpgRL7rZ13/cFLbEeA/X2/jycXb6ArFel+Pzndx39SBjMxz/aBrhCIKYUXFZtTHA3x/OEqrP4wkSaxr9FCSZuP+XwzkpRW1rG6IDZ32Ni3gULNkWweXvrqSTc07V0kfmePg6bOPZMQPfL4/Rjiq8O+va3hrXSPBqMqO5FNfVrbR7g8zfVAmb6xtBKA9IKpoCMK+IAK4g1xEUQkrKha97mcVgC9OtSXUnky2GHhvYxMhX5gl2zq4ZGQeS2vcZDvNGPU7AziHSc9J/dMpTbczMs+FomqYu3vj+qfHkvzqdRKaCje/v6FH5Ydzj8ylrJfyWW3+CBuaunCY9dhMOlQNQlGVt9Y2MmNkPg/Oq8Ssl4koseCg3R9mYKadQZmOHtf6obLsJk7ql869n+8cnlPUWFssBvlnXftwoqoqr67ezgPzqhK2L61xc9F/v+GtGSMZ8B3PssMfYXV9J/9bU09HIMKwXBe/GJhBUbKFOesaefjLKrZ3BmnxhVhV7+Gd9U3cNWUAbf5t1HuCTBuYSTiqEFE0rEYdknRo5erb1NzFVW+sTgjeAFbVd3H92+t47twjKUnbszWFa9wB3t/YBIBekjDqJMJK7Hd5bUMXl47KQyfFpjGMEItIBGGfEAHcQcoXirK+qYs31jTQ2BVkYKaDqQMzGZDh2CPJZQdlOXn67CPY0NTFlhYfhclWXrlwGM8sqaHGHZs4PjjLwbXji+P1Sw06mV0XZlqNeqzGnS+xv08dyPqmLr6qbMNm1HF8v3T6pdlIsvTM32aQJWxGHb6wgixJyBJ0RVUau0Ksa/Rwx0mlzFpei7fVj16WOLZvKnecVEqfn1GRodYTxGHWc9bQbOasa4wHmztWoWq9Fe8Ueihv8fH4wm297qt1B1ld79ltANcVjPDvr2t4ddX2+LbNLT7e3dDI36YMYNayGiQp1tsaiCh4w1HCispjC7Zy4bA+HFOcTEcgwvVvr8cbjjK2MIUT+qVTsktlB28oSlWbn0XV7QQiCqPykylNt5Fu/3k9dy3eEOUtPhZXt2PSy4wvTqUk1brH8xPWuYOsru99ocbC6g62dwb3eADnDkTjAZteJ5FuN7F9lyHxxq4QNqOeNKsxIRm3IAh7jwjgDkKhqMJb6xr5x/ydPRwbmry8u76J+6cOZFxRyh65T57LQp7LwuT+O7cN7+OixRdGliRyHCacvQRfu5PlNJPlNHNCv/TvPTbTYWLawCz+/XVNfNuOwPS9Dc2cOiiLy0blY9bLSJLExqauhLqqP0WbL8yLK+oYU5DMQ6cOJBiNzbfzhKK8trqBDIeZARnij9P38YaiNH/HXMS1jV383272VbX7E4K3HXxhhUfmVzEqP5kl2zrIceqxGmTcwSi+cBRV0zixNI3PKlr5cNPOOr4bmry8saaBf5w2mLJMB55ghJe/qeM/X9fGj/nvyu0My03i9pP6k5tk/kk/c4MnyJ2flLOirjO+7cUVdZx3VC6Xjcrv9UPKT+X+nvyDnmB0j91rB5tRhwTxjzB2k47cJDMt3hBhRWNgpoOJJWl4glEWVLVRkGylKMVChuOnPU9BEL6fCOAOQts6Avxr4dYe20OKygPzttAv7Qgy9tI8oHS76Wf3VPwQkiQxbVAmX9e6WdudMsTUndbj3CNzWd/YxSebW+LHH5nj/Ml/fHfYMTS8eFtHr6tZ7WLV6Q9iNujivae9KUzefS/p1zXu3e5bW9/Fr44uxGrU0+4Lc1L/dIJRlTlrGwhGVRRN4/0NTfGeU4NOQpIkOgIRnl1aw91TBrCx2ZsQvO3wzfZO3t/QyBWjC37SkOuHG5sSgrcdXlm5ndEFyYwt3DMfqgAyv+P3T5Ig1bpnkxl7Q7EAOT/ZwvyqduwmHTajHqdZj9Wg47i+KdiNei5+ZSVNXeF4O84Yks0dJ5ZSLOraCsJeIQK4g9DmFl+PuWQ7bO8MUu8J/uQArjMQocYdoKrNh9WopzjFiqppfFbRyuZmL2VZdiYUp9Evzfaz5tz9ELlJFu49JfZHd35VOxa9zPC8JOZWtLJgazu5TjPuYASnWc+Nx5Xg/JlDVX2SLBSnWHtNg+Aw6SkSZbN+kJIUK+cPy+WZJTU99jlMOkbmu3Z7rrKb17WmgYrGxqYu/vZZRXz7gAw71xxTyOur6vEEo9R1BuMpa5wmPSk2I2a9zMLqdhq7Qry7rpHSNBvjilKQJQmdLOEORJhb0crb6xs5dVAWWc4f90GgqSvEnPWxCfyqqhFSVBRVQ5YkjHqZt9Y2MDo/eY/9vuQ6zUzun87H5S099p05JJv87wiQfyx/WOF/a+p5dkkNl4/Op7YjyPqmLnRyhDyXmT5JZi4Ynsf0/3xN5y49f5oGb6xpIDfJzJ0n9cegFwkPBGFPEwHcQSQSVantDGDQSfx6dAGbmr0srG7vEcyp2k+bq9XkCfLo/K18VrHzD4OqacwYkcfS2g7Km30sqG7nheV13H3yAPKTLWga5CSZ91pVgkyHmUxHLCUJxP5AZthMDM5yUNnmpzTNxpAcJ/0zfv6cn1SbkT9N6seN727AHdg5TGXSydx+Yil5P2N+3eHEYtJz1dhCtnUE+GSXICPNZuCJs4Yy6DuGoUfmu2LD5hqE1Z2BEMR6lr5dOWRTs5d31jXyh4l9+WhTc0KvX2cwii+skJ9swayX0VSNLIcJvU7mb59V4O4OOIpSrFw7vojPt7TES7b9UIGwgicYoSsYm4vX1BXCG9rZBrNeprkrTFRVMcp75nekOM3G36eWYTfqeGtdI6oWmzN69pE53DKx5GfNA/22re1+Hl9YjQb8e2kNZw7N4jJrHo2eEPnJFiaVpPFheUtC8Lar55fVcsGwXAZlOfdYmwRBiBEB3EGi2RvixeW1vLWuEXcgQq07yIS+qfxqdAH/XlpDqLuSfJrNSOYP6H2rbvezpsFDZauPwhQrw/sk8eGm5oTgLayoVLf7uf3jch6ZPojyZh+qptHqC3P1m2u4/OgCXl1dz7jCFK4cU0C/XlaT7mnrGru46b31tPl3BliDsxz8YWJfCpKt2Iw/7yV9RE4ST581lFX1HtY3dlGQbGFUfjIl+6DH8VBSmm7nn6cPZmu7ny2tPlxmA/3SbfRPs6P/jt6Y4hQrx5ek8drqetr9YRQ1NhznMuu56+ShPLFoK7lJZtr8YaKKhkkvU9HqI6Jo5CX37CGNqhreUJQxBemk202k2o3c8sGmhGO2tvv54wcb+dcZQ1hR56aixUdZhp3s7xiSD4QVVtV38t+V28mwG8lxmtnQ5MUbjhJLdR0TjKoUpFjwBKOk2ffch5wh2Un847RB/H5CXzzBKEkWPYXJVjJ/ZO/h91lR58agl5lQnIJRJzOvso32QAS7UUcwonBiaTqVrb7dnt8ZjPbI+ygIwp4hArgDVCCiUNMRoM0fJsVi4K11jby5NlYlwKSTcZr1fLa5hWZviJNK0/nfmnrMOh1Xjyv83sLgq7Z3cuO76xM+NV88Io/Z35o8Ho6qKCooaKyp91CYbGFdYxd17tjqM5tRj6JqfFXVRnmLl8fPGEJ+L39Efw5V1WjsChJVNQyyxN/mbo4HbzajjguG9aGqzc9V/1tLnsvM6UNyGFPgIudnlLkqSrVRlGrj9CHZe+rHOCztKFJ/TFHqDz4nyWzghH5pOM163lnfhDsQYUiWgyllGbyxpp7jStJoW9OAzahD1TR0soSqajR5QwQjCmMKknvMX4yqKleMLiCiqvxvdQN6WUrotVY0jY5AhIpWH+XNXjY2eylItvL3qWUJqXV2UFWNj8qbuXduBRqxuZl/OqEfb65rQNMgFp/Ggrh0m5GCZAtb2nyk7eG5ozlJVnKS9u6wfmGyhT8f349PKlpo80W4aEQedqOO+7/YQkjRCIYVBmY50Ml0J/OVCEYUdjzedLsBm5g7Kgh7hQjgDkCNXUGeWrSND8ubUVSNK47O518Lt+KyGLAYYnmtHEYdYGR9YxcXDe9DYbKFC4bncUT2dw9VNHtD/PXT8h5DHia9zLqGLgpSLBh1MlFVQ1E1It09e3WdQSwGHS2+nUk6o9rOT9ZNXSFW1HXu0QCutiPAW2sbeH9TE4GIQr80O5P7Z/BJeTNb2vxcPCKPh+ZVUt0RG1Zr8YUpb/ExNNvJXScPIOdnLmoQ9r0ad4B7P6/AotcxuX86Fr1MvSfEo19WUdnu5+HuxQA6WUKPxKR+aQzIdOCPKEiSxE0T+7KhsYvnltfRFYoyvE8S5x2Vy9AsB43eME1dIfJcZpq9YXxhJRYEShKZSRaW17nJ6V41ua3Dz78WVnP3lAE9pgfUugM8tmBrfEVmKKriCUa47xcDeWlFHesbuzDoJI4tTuHsI3L47zd1pNkK9+FTjAkrCv6wgtWow6jb+TNsa/fT5g+jlyUKU6y7nTva0Bng3Q1NPPLVztXu//66hmOKUrhzcn/+tbAah8XA0GwHRSlWqtsDSJKGy2JA0TQ6A1GuHFNI/3SxiEEQ9gYRwB1gIlGVF5fX8V530kyIFep2B6IEIyo5SWYUVWObO4BejhVyVzUYmZfMU4urqWrzc8vxJRh0vQ9T1boD1LoTSxoVp1jJdpoYku2kzR9GljSavSGMOhlVi2U/K0yxsqi6HX9YQQOsBhn9t1brLapu32O9Vg2eIH/8YAPlLTuHZxZVt/PW2kYenFaGvbqd5XXuePAWe06xP6lrGjwsr3NzalJWj+sKBzZ3III3pOANKXy4qRlN0/CGFYIRFVmSqGjxEeh+Df56TAFfVbYxe1U9siR15yLTccdJpVw1toCOQIQ6dwCX2YDRoMNskEmzGQkpKn1cZiKKRlhR8YaidAQiZNhM8VJqAAur29neGeiRU62xK5RwHHSnOfmyipMHpHcntZXY1Ozl6cXbCCkqGftg5fYOwYjCusYuXl9dz7YOPwXJVs45MocCl4Uvq9q5b+5mNjb7MOolppZlcuNxfRma07PCyJqGLh5fVI0sSQnzahdsbWdeZRu3TSqhqSvEnZ9s5upxRTzyZRWbWrx0BqOk243cMKGY847KRZbFAgZB2BtEAHeAqe0M8E73irYdDDoJs0HGbtLT4Ali0MmEoiphSSKiRNA0jc8qWggrGh+XN/PL4X0o3M2KyWAkVu4qoqhowNlH5KBpcN/cLUwqTeeBL7bgNOsxG3QEwgrJViOaFpv8Xd3uRyNWqP7ckbnMWddAIKLEeyjSbCZqOwKsbvDgDkTol2ajb6r1Jw0drW3oSgjeAPSyRFhRefmb7fx6TD63f7S5x/4d3lnfyOTSdEx7aXGFsHdYDHJCvjF/RKWuM4gEpNuNFKRY6AxGyU0yUesO8M32TpIsBlRNwxyU8YUV/vzhJh6ZPog31jQwuX86Q7p7pTPsJs49KpeHvqxEliRMeglPMII7EEUnS4wuSOaJRdXxtiiqRijac1FDb1lGNjZ5OSrXyUsrtjOvsg2Haedba26Sebe/jztUtfnwhRWSzPqf1Yutqhofl7dwz2eb48+wss3PF1taueaYIv61YCsbuys4hKMab65tZHWDh1cvHJ6QXFlRVF5ZtR0JCYMuVpFkx7CzJEm8tqqey0fl8+I3dby9vonF2zq4eEQe1yQXElFiQ9v9M2x7fEqFIAg7iQDuAOMNKwSjiZN+q9p8nFSazuurY3N/JCn2RqppGklmAxrEs6SHoiqhaO/5t4KRWP3Q7Z0BQlGNYblOPIEITy3Zhk6W6Jdm49pji3lmyTba/GGcJj2l6TauPbYvD83bgi+sMCTLwdRBmdR3BvmqqgODTqIg2YJelhmV7+KiV77Bu8tKwMFZDu6c3P9Hv5F/VdnaY5uxe+7f17VubpjQF0XV0NCQkHCa9Zh26XWMpZ0QDja5SRZG5LlYVutG1TTafGHQYgFdKKqSm2Tm9pNKKUi2cPvHm0ixGrsDKok+SWYCERVPMFZp4emzh1KUYsFl2ZkXbVJpGlXtPt7uXr1pMeiwGVVumtiXr6raEmptpFqNuCw93yKzHSZcFkPCSuUF1e1cPiqfYFRhe+fOJMaFyRbuOnkA2btZXLCltYtltZ08vrCabR0BBmTY+d34Io7McdLH9eODnxp3gEe+quxRMyQUVfnTBxu5ZlwR65sqEvZVtvpZXudOCOCiqkZH91xTCQm9LKGTu/8hJOgKRXEHI7yyMjZvttkb5oF5lQnXnTIgnSOzk0g/DGrTCsL+IAK4A4zNoEuoMwgQCKucNjiLtQ0etrYHcHav4kuzGbl1UinPr6iNv7Fm2I27ndOyvqmL11dv57TB2by6qp5TyjL5+7wtRFUNSZL4eHMLE4pTuGliCRIwMMvBsho3zy7exrHFqZw1NIfSdBuzV23nf6tjvYQRRSMcVbnq2ELeWd+YELxBbNXov5fW8OdJ/TDqf3hvmM2kQ9M0AhGVrlAsRYPVqCPFasCil2nxhhhdkMzra+pJtRpItxsTVomePCBjr6U2EfYeu0nPDRP6cvN766ls8xPq/jBjM+q4/cRSXl5RR21nkF+NzmdLq5/JpekM6+PCoJPY2u7n65oOnGY9oaiCSScza1kdzd4wo/OT6Z9pp3+6nd8dU8zpg7OpavOjkyXa/WHeWd9IZVti/r/LRuX1uiCoj8vCDccWc+cn5ez4NVVUjf98HUsWnGYz0h6I4DDqyUu2xIdPm7qCdAajGHUyuUlm2r1hXly+nbt2yWtX1xlk7pZWnjhjCBcPy8Vk+nG5Dbd3BntNoKxoGo1doYQ6xruaX9XOhcPz4t+bDDomlaYxt2LnBykJacfaDMYWxlal+neTrBnAH1EIK+JjlCDsLSKAO8DkucycWJrO+xt3lgNKtRu5b+4Wpg3Kok+SmUj3AoNgROWfC7bS4gtTkGxBJ0lcMjK/10/7ESW2Am9JjZtzjsjh12MKsBh0eIJRZEnCZdaTajOyocnL4ho3Ld4Q144v5pWV22nqCvFheaw95x2ZwxWjCxiZl8zaBg9Wo47TBmUTjCo8u7Rn4laAzypauHhkXq8r+nbnhH7p/PvrWra1B+I1SPWB2F+PX48pJMWm55JReWxq8VLTESCiavE6rH1TbYwpSP7B9xIOLCVpNh47YyjrG7uYW9GCw2wg3Wbko01N1HbX33QHIvx9ahnLazr518KtBCIqI/KSuGJ0Ae+ua6SPy8Jpzy1LSMo8oo+LZ885gsHZTsoyHZR19zhVt/tZ19hFjTtARNFItxm5dFQ+J5b2XvJNkiSO75dGlsPM62vqqWrzkZtk5pwjcxmS5Uio/wvQFYrwZWUbzyypod4TxKSXOak0nZMHZHD/F1t6XF/T4O9fVDKuMAVZDqKoGmk24w9KMKztJgekBMiSxO5SRGbYe1ZvmFiSRp8kM3WdQdjxW6jFgrvfji8i22Hi+H5pvVa2ADi5fya5IneiIOw1IoA7wBj1Oq4YXYA7EGFRdQcasZQiNpOOt9c14jTryXGaOXNoNi+sqGO7J4jVoCPVauCSkfkcletkbkUr/ohCUbKFgmQrDrM+lpbEHftj9trqekrTbUwqTSMvyYKKhj+s0BmI0O6PkGE3IksSVqMu4RO2xaBjXFEqn25uobLNj6pp2I06nGY9rW1hrji6AF84ytwtrTR17RxGCitaj2Hh72M36TmmMIXq9rr4Nk2D7CQzI/ok8XWNm69rOrl6XBFLazpYUecm12lm6sBMTizN2KPJTIV9L9tpJttpJqqpPDSvKmG4EiDZauS1VQ0s2Noe3/bFljaWbOvgwWkD6QxGe1TUWF7n5h/zq3j41IE4zDsDlsIUK3ecVMrlnfmEoipJZsP3rmA26XUc1SeJwdkOfOEoVoNutz3Mn21u5W9zd/ayhaIqX2xppV+6LaGnfYc8l4XrJxRzxyflbOtepJPtNHH1uCKOLUrF8h1pOWJJteUeuddMepk8l7nXAE+SYEpZZo/tg7OcvHLhcB75qpK31jUQjKiML07hpuNKyLQbcZgNXH50PnPWNdLuT/z36Zti5aT+abttpyAIP58I4A5AuUkW/jp5ANvcARq7QqRaDRyZm8T9n8eGO2vcAR5fVM3YwmTOHJJFvzQ7RSlWatx+Ln11dbyUkARM7p/Ob48pJsVqoCjFxubuhQGbW3zMr2qnONXKgq3tmA069HLszd0fUeibaqXAZSGiqOhkODY/lbOOyOaZJdvwRxQuHplHszdEqs3Eb99cS7MvzPbOIDlOM9dPKOLLyrb4kFSyxYDT9ONeamvqPegkiQemDmT+1tjq12F9knCY9Fz/znrumTKAj8tb+dfCrQzMsHPmkGzOGppDX1F38ZAyPNfFmILkhAL1KRYDOkmisStIht1IW3fCX4it2P5iS2t3TrKeZq+q5+pxRRyZm9jjZNLrflQP8Q4GnZwwx+7b6j0Bnl26rdd9OklKWLCxw3Xji7j9o3LSbEac5tjvTYMnxG0fbuLh6YO+M69evsvCVWOLePjLxPlokiRx24mlLKhq+9Z2uPeUAZTtppJJkkXPcX1T+eXwPECj2RfiX4u20hVUePzMoQzPcfDupaP454KtfLipCYNOxxlDsrhidAFH5bp2205BEH4+EcAdoJwWA0MsBnZk5ch3WVhb38UHm2LpRUJRlXlb2shymDkix0mDJ8RN721MSFCqAR+Vt1CUYuPSo/M5c2g2C7e2MiIvmWynGaU7wenWdj+qBu3+WI43s17mt8cUsbi6nbunDEAvS2xu9fHQl1U0dYWwGGRSrQbSbEZmzt+KSS9jMcgYdBLtgTCPfFnFY2cModYdoLLNz9DsH19ovj0Q4dXV9by9XmZ4nyScZj3vrm9kY7MXiM2922FDs5cmb7j7j4xwKEm3m/j9hL6cMSSb1fUeDDqJMYUpzJxfiUEnk2o14jDpiagashQLqOZVtnHZ0QUJ1zHoJI4rTiPPZWE3GXb2Crc/SrN3Z+5Eo05iQnEqxWk2ki0GHpk+iPlb23l7XSMacGSOk20dAQIRBYMucbnrjnJWQ7KcJFl6nxun18lMG5hJnsvMyyvqqOsMxuuVHpXj5NjiVKYPzmbB1nZSrAYmlqRRmmbDZe09CP2yso0nFicGoKGoii+s8M8FVZw9NJvCFBuPTh8UmzsrQUGSGZdNLFwQhL1NBHAHiTS7iRsmFHPakCxW1LrRyRIj8lwUplhwmAy8snL7bgvcv76mnillGRSnWLjp+FIe/rKSZ5fW4LIYuHBYH165cBhrG7pYWd9Jpt1ESZqN7e4gL6zYTp6rDXt375nLosdq0DEg08bIPBe3flROqy9MUnfakT4uC+3+MNs6AryycjtVbT7S7SbOPyoXqbfcC99hcGasRyAYVVlY3YEsQbI19kcr2WKIz4vb4ZQBGWSJ1W6HpCRLrAf6yNyducriJdMkMOpljAnH64mqKilWAxl2EwUuCycPyOCj8haW1HSgfKVy8YjYdAPHbhb87ClGvYROAkWLVVC57Oh8Xl21nX8urI71JMoSpel2Hpg6kEe+qiQ3ycz6Rg9ZDlO8BuyuKtt8eIKR3QZw0D39oCiVo3KS8Iaj2I16bN2/w8UmPcWpNqYN+v4cif5wlC+/1WPnCyvUuQOoGny6uZXiVBt3fVbBA9MGMTLP9eMejiAIP8tBk2Hx3nvvZeTIkTgcDjIyMjjttNMoLy9POCYYDHL11VeTmpqK3W7nzDPPpKmpaTdXPPgkWQwclZvE5aMLuGRUPkOynTi6V6lVd/h3e16bL4yixgKhGa98w+YWbyz9iAYvrKjl3s+3kGE30tQVYlF1B498VUWq3YjLrE/4IyJLErIEJ/fPYOHWDlbWdeIJRql1B2n3h/GForgDEXSyRK07wJBsJ9vaA9zywUbq3IHdtq83xanWhEnkqhbLP+cyG7h0VD5LqneWS+qbamP6kCxRq/Qw8ote5mztMH1QNkOynFw1tpDxRamcOjgLf3dyW28oypqGLn7/7npeX11PMNJ7EfZddfgjrKnv5PMtrSyvddPsDX3vOTvkOM2M7q4ecVL/dGYtq2XB1g40LdbLbDfpqO7ws7C6nXOPzOHIHCeDshx0BqNUt/t7rPJMMhswfEct2V3ZTHoyHeZ48PZj6WUJ6y4rucOKSn1nMF4my2rQEVEUfGGFv35STqMnuJsrCYKwNxw0PXBffvklV199NSNHjiQajfKnP/2Jk046iQ0bNmCzxeauXH/99bz//vu8/vrrJCUlcc0113DGGWewcOHC/dz6vW9IlpMjcpIoSrbSEQhjNeqR0HhicTURRSMUVbn70834wiq+8M4Jzhoa721oYsbIPNp8Ibzd+95c28Dfpw3kvQ1NVHQXq86wmTh9SBbLat3kdE8y7wx6sRl1mPU66j1BNA1kKTbk6wsrIMXKbK1v6vpRCwv6uKz8fVoZzyy28fI3dXQGoyRZDLGs8dkO5qxtJNNhYlJpOkfkOL+3/qtwaBmQYefUgZm8syHxA1qu08zpQ7L53Ztr2dDsxayX+ffXNThNeu45ZQCvra7H011G7pmlNRxTnEppeu/zvyBWUutvcyv4pq4zvq0g2cLdJw9IyJu2O1ajnqvHFlLd5qdPkoUVu1wny2HCqJNRVJUvK1s576ihvL++kTFFqYSVWjQtVvouNuwb+3By5tBsshz7pkScUa/j9CHZLKt1A7FpC//P3nlHx1Ge7fua2d6LtOrVqlaxjbupBpveWwoJEELqL50vJEAICWkkISR84QuQRkmAhFBC7wZjwBj3bkuWZPW+krbXmfn9sfJaa0nGvbHXOT4HdnZXs9Luzv0+7/Pc99gq/wVTs1jX5QUS6RSdnvA+TcqmSZPm0CAok82dH+MMDAyQlZXFu+++y+mnn47H48HlcvHEE09w1VVXAbB9+3amTp3Khx9+yPz584/yGcNwMEKzO0SPN4xBq6LYbqBiLxeP/WFbn49HVnVw//LWpA/UvEI7d19cg4KCUaPmjPuXT/hYSVH45iklxGUlOdVn0qr4wyV1lDiN9PrCxGQFvVrkp683sGMwQKZJy8KyDO5f3kowmkhj6PSEEYWE4e59l9fxlxVtydX652bm893Ty/b7dUVicZpG/cAsejUVmYfm95Xm+GcoGGVrr4/nt/Tij0gsqsykPsfCnW80smMwQFxWCMUk2oZDCCQWFV+ZX8y/1ncln+Nn51VzfnXWhM/vj8T50avbWD6m2ruLApueB66aPuG2/Y4BP/5IHL1GRUWGCbVapHMkxEftw3z3uS2oVQJmrQqdWkQQBPr9EdyBhC3Kw6s6mF/swK7X8Mf3dyLJClMyjOjUIqdPcXLzwvIjKpIGAxHuWdrMWzsG8UXidI7G8M3It/L5mQX8feVu66B7L63jlFLnETu3NGk+6Rw3Fbg98XgSK1mnM/GFsWbNGmKxGIsXL07ep7q6mqKior0KuEgkQiSSuiWi0+nQ6Q5tP1XrUJB7ljbzjzWdSKOqptCu5/+uqOfMsoyDyguMRuM8s7GH3y1NdWD/qGOEa59Yy3M3zE34/ApM6AOlEgTsBg1zC+3Y9RqqsszMKbQnJzp39Z51DoeoybEwv9jBcDBGqcPIFfW5PLC8Fb1ahSiAWafi+2eU8/zmXuKSktzWzDvAi45Oo6Y2x3pAj01zYuM0ajl1SganlDqRlUTA/ZrOkWTFWC0KqITEP0iY5Jr1+27u3DES4sMJxNuu52odCqYIuM6RIM9v7uO+93fS6QnjNKq5bnYhN8wpoizTRK8vQo51gu+V0c+kbtSGZEXbMCflWbn30lp2DgXJs+qZW2Sn1GnEMcmwwcEwHIzR6QkRjEo4jBqK7Ab0Y+Lxvr+wnAunZvP8ll7ahkLML0l4LP5jzW7/N7UoTOgllyZNmsPHcSngZFnmu9/9Lqeccgp1dXUA9Pb2otVqsdvtKffNzs6mt7d3gmdJcNddd3HnnXem3PaTn/yEn/70p4fsfONxmcfWdPLwqlTDy46RMNc9sY5XvjyP6ROESe8rWwf83Pf+zl1hDCm0jYTZ1Ovj/Ooszq5w8UbjwLjHCwKcVZHJgmInZ1dNXI0YCUVZ2+Xh9e39NA4EKLIbmFtkp8cb5u6LaxAQMGhEhoIxnt7QzZY+PyVOAwYxUWk4qeDAX1+aNHtDEBKDAsA4/zO1KhEDtWvrLyYp2PVqTil1UmAzUGjTE5dk1BOMpnrD8XEWH2MZ8EeQZIV+XwRZUXh8bTc/f6sxKciGgnHuXbaT1qEQv7u4hiKHgWKHgbbhEIqiEJUUFAWM2oSFSduYPtZ13V7WdXs5tcTB5xaWHbZhi4Z+P3e9vYMtvT4gIcQunJrNl+cVkT266MowJYTy7EIbT67v4R+rO/BGUnsHr6jPpTDtvZgmzRHluBliGMs3vvENNm/ezL///e+Dfq5bb70Vj8eT8u/WW289BGe5m6ahwKReUJ5wnBVtE6/y95VAVGIgkLAqUPb4B7C1z0eGScsti8rJnmDL5+aFZVTsxQMrEpf497rExWkoGCMYk9jW72drn593m9387I1GfrWkEVlWeG17P1v6ElYfcVnBpFXx8/OqmeJM+7OlOfxkmrTJfjFIbOfves+LQiLQ/srpeYnA9yU7+PozG7l7aVOKeNqFzaBBNclcjEmrIt+m5w/LWvjCk+t4ZXs/f/pgJ1km7Tj7j+c297JzKEiWWccvzq8m16Kjxxth51CQnUNBihwGvnt6KW/tsbjSq0U+N6vwsIm3bk+YH768NSneIPGZfX5LL/9Y00FsjxgsvUbN+VOz+PRJ+dgNuyfC/9/JJdwwpzBZtUuTJs2R4birwH3zm9/kpZdeYtmyZRQUFCRvz8nJIRqNMjIyklKF6+vrIydn8pH5w7FduifBqMRgYLdTuYKS3MoUBJLmugeKQaPCrFWNyyHdRYkzEYo9t8jBczfM5s2GQd5tcZNp0vLZmYn4n0zz+N9BNC4RlxX6/RH+ObpdYtSoKHIYcAeiaFQC7mCMUqcRvVrkoVUdXDg1m8+elE/7SIjpeVZm5tsodhjTE6JpjghFdgMXVGfx4pjhBotORaFdz4ISJzqVwI9e2YbDkPCPC8dlnt3Uy8YeH7+/pDYlhq7Iruf0skzeaRoc93O+NK+In7zeQO9o4khUkun2hhEFgQKbPsX7DaBpMMCCEidOg4ZL6rK5qDYb3+hgzoA/SstggK+dXMKbjQP4InFOyrNx1fS8SQ12DwVN7gBdnoknR1/Y0scV9eONsbPMOr48r4gLqrMIxxO9r3lW/X7bBKVJk+bgOW4EnKIofOtb3+K///0vS5cupbS0NOX4rFmz0Gg0LFmyhCuvvBKAhoYG2tvbWbBgwdE45SQmrQqXWcOAP4asKMRkJSXSpjzTSCgax6A9sD9HudPIdbMLuX9567hjdr2GWWP8s+pzbdTn2vjGKSVoVMKEvXeD/gjrur38d1MPwZjErHwbN8wt4t/ruvCEE7FBepseXyRObY6ZcExGqxaTq3eVADXZFr51SimutDfbCYksK/SNbiFmmLQYDrD60uMN0zYUYigUJceio9hhJMN04L1URq2Kry4owW7Q8OymHgJRCa1K5NSqDC6vy+HONxrQqET6/RFUokCh3YBOLdI0GGBbnz9FwBm1ar59ailxSeb9nUPJivZppU4kmaR4A9CMLlBkRcETjmPSqlJC5XclKjQOBPjzh+0IJKqDUUlOPm9FpolfXzgVo0aFzaBBc5gdh9uHJ7f2CcdlfNGJLVYEQUhH1aVJcwxw3Ai4b3zjGzzxxBM8//zzWCyWZF+bzWbDYDBgs9m48cYbuemmm3A6nVitVr71rW+xYMGCoz6BWpFp4qvzS/jZm41E99iWcBo0VGSa+bBthLMq9p4dqCgKnZ4wA/4IGpVInlVPhkmL1ajl6ycX0+UJ8fyW3ZWHXIuOv31qOtNzx6/idZNccN2BCPe828JbO3Zv53zUNkxMUvjx2RU8sLwVSUl4wr29Y5DvnlbGo6s78I3piXEatdx0RllavJ2gdAyHeH5LDy9v6ycSlzkp38b1swuoy7HuV6V1U4+XH726jeFgwpjWG44xxWnip+dWJavGB0K2JZEbemltDoGYRK83zGNrOmkcDLCyY7eNhywpeMNxXKPN9x+1D4/7DBbYDfzsvGrah0MMh2KYdWoKbDp++PK2lPv1+iLUZVvZ3OclEI3jMuuSAs5pVFM+WsnatV2pAJE9vgt2DAbwReIUOQ78te8PezO+VosCpvSWaJo0xzTHjYB74IEHAFi4cGHK7Q8//DBf+MIXAPjDH/6AKIpceeWVRCIRzj33XO6///4jfKbjEUWRz5yUT68vzF9WtCUDrMsyTPzhklr+vb6TYFRmep6FjEkiaPyRGK9tH+DPK9qSwd5TnEZ+cFY5M/Nt1OZY+f0lNdx0Rhkt7iB2g4YSp4HaLBNq9fg/c1ySaR0OsbnXizsQpTrLQkWmkcaBQIp4g0SloNsb5PWGAU4qsLF69CLojcR5aWsvD1xZT48vQudIIgu10mWadIXe74/gCcXQqEQcejWDwRiCkLiYGA+wApnmyNHtCXPLy1vZ3u9PDAYIibilj9qH+b/L61PSEvZGlyfEr9/ewTmVLmSF0RxdHSpR5C8r2rhtUUUyAWQsihRDiYcQ1AYE1eS9YSpRoNhpxBOK8cu3GmkcCDC3yJGseu3CG4nhMGpQiwI2/cTvP7NOTU3Obs+3mCQnJ0Z38W6zm2+fXsKPXtnOSDiebEA1akX+dMU0qkbtbxx7qS6qRAHtEcz5qnQl4ryGQ7FxxxaWZaaHEtKkOcY5bn3gjkee29SDWadmOBRDrxYRBXh8TRc73AFEAZ68dvaklYc3Gwe47ZVt4243aVX89VPT98sfLS7JLG1289M3GojEd1/MLqrJIhCVx/f8KAmx5gnH+PHZlTwyOk2rUQn84rxqzizP/NgeGH8kzrIWN39Z0UbnSBhZUZhVYGdBiYNHV7Yzo8DGVxeUULMP5qhpjh6vbuvj+y9uZTAQJRiTEAWw6jU4DRpOn5LBry+cuk/O/x+1DbO938cv3tpBj3f3VmSORcePz65gQbGTytH+Lyk0hBQeQQr2EGx5CcnXidpWiqnicjTOGkT15JUkbzjG15/ZSONAgHlFdvr9UV7Z1p88rlULFDuMaESBv316BtNy982y5o2GAX70aurnMdOk5dLaHCRFSQwn2A2cVuqkLseaTE9oHPDzhX+vS8ny3cVppU5+ef5UDNojV/la0znCj1/dnhyCAphVYONHiyooPEKVwDRp0hwY6ZLHEaTZHeTfY0xEx2LTa8ZNr+1iKBjl4TGGmWMJRCXea3bvl4DbORzkp683jNvC6fJEiEoysqKk5jAKYNGpMWpFpjiNzMy3Uekyc161i0qXeZ8amJc2D3LnG40AhOIS7cMhGgcCbOzx8qkZefx7XRdb+/w8cGU95Wmz3mOWl7f10T4SSg7hSErCRywYlfiwbYjBYHSfBFxMkvnDsp0p4g0SW5H3vNvCPz9rQ45HiPR+RKDlFdQGJyMf3YWgNaMyZBIb2UGofQmO+XdgKDln0vegVa/hgqnZNA60sLrTw9dPLmFrr4/W0f4vqz5Rffv6ySWUZey7YJmRb+X0UifLRo2vAQYDUd5uGuSeS2ootE/8XKUOI7cvruTnbzampBoU2PR845TSIyreAGYV2Pnrp6bTNhRiJBwjz6qn2GE4LH5zadKkObSkBdwR5OxKF0+u75rQW+qyupxJzW4H/RG29vkIxeTkNstYsbem08MFU8NEJZlcq/5jm5/XdXnHiTdITMpdXJvN2k4POnXqBVEQ4PTSDM4oy+DsSteEvlmT0esN8+cPEzYqsqIwFIgmBcCWXh96tYheLTISivF202BawB2jBCJxQjF5QjPoSFxO9Ebu43PFZYWmwYmnr3cOBQnGJKJ9qxl67xYstTcw/OGdgIIS9RGPh1BbihBUWjxr/4AmowaNtXDSn3X6lAxe3NJHszvAwyvb+fopJfgjEpt7vdRkWzi/OouKTBOm/djCzzLruGVRBRf2+Hhucw9RSebcqizmFNr32uCvUYucXeGiLMOUzFWtz7VSk20m7yjFweXbDOkoujRpjkPSAu4IUpFp4uaFZdyzrCWZxgAwv9jB5fW5E1YRmgYDLGtxE47JyZF/nToxwKBTiwRjEmpR5Icvb6XFHWRxhYtrZxcwZS++boOThHH7InEUBeqyLexwB4hKMjEpMTFrGw2R39WnFovL7BwKsr7bw3AoRl2OlQqXiawJ7EiGQ7HkxJ4kK+PMVrf2+cix6GgdDvHBzmE+P7Mg3Q93DOIORJlTaOfJ9d0THp9fZN/nmCeFxPt47Bb+Lqw6NRmaEN5NfwVFQVHiKDH/7jvIcZR4EEGlRY6MIAW69yrgCu0G7r64hmXNbl7Z3sf7O4e4tDab62cXHFQslcus46wKHQvLMpAVZa+LGllWiMmJ3jmNWqQqy0zVYbQISZMmzYlP+ip5BDFoVVxSl8O0PBsberwEo3HqcqyUOg0TDi8MB6P84q1GfOE4V07L5X/f2wkkqh3d3jC5Vh1dnhAz8q08sLwVBXhpWx+rOka4++IaXCbthP5uU/fSZ/b2jgHuuaSW1xoGeHhlB5G4xJwiGxdPzaGh30+Jw4hBI/JqwwC/XrIjZRuoJtvML86rHtc7o1WJSTd8BUCAuJy4cIuCgE2vSVoa2PTqw26fkObAEESBwUCUy+pyeG5zarpJoV3PpXW5+/y3y7boKLDp6fGGCe4S9EJCvGWZtWSoQ4SHGhK3j5b8BI0FjaMC5DgxXzti8q398W28hXYDn5tVwEU12UDCpPdQIYoC4rgMlAS+cIwtfX6e29TDYDDKvCI7C8szj1imryzLbO718WHrMFv7fVRnWTilxEFdjuWg4vvSpElz9EkLuCOMTq3a59V3x0g4aTtwSqmTi2qyeHlbP4oC4biEosBtiyr4oDXhURWTZEZCcRoHAjy7qYfWoSBX1Ody6hQnFt3uC1Z1lpliu4G2kfE+UJ+bVYhKEPmobYirpuegValoGwpy3weJYG2rXsOUDCN3vdXInn3YW/v8PLq6kx+eWZ5s2gbIs+k5pdTJkh2DeEd95PyjtiMqMWG++ur2ftSiwJXT9l0EpDmy5Jh1KEB5ponfXDSVt3cMEohKLChxkGPW4doP/7Yiu57zqrN4s3FgtO8ykcmrVQssKs/EqNMR0ZhQYn4EtQHrzO8iakxE+tchqHSYpl5D3NtKpHc1KtPkRt17ciDCLRiN44tImLWqferv20UgEufxtV0pge8bur38e103915WR/0+DkwcDO+2DHHt42sTk7Gj2PRq/nHNSSyqcB32n58mTZrDR3oK9Rjm/Z1uvvf8FiCRcXpmeSbVWWY6RkLoNSpOyrfy6KoOGgYCSLJCjzeML5LwnjqrIpMCm55VHSPcvLCMq6fnpWzRNrsD3Pf+Tla0DiEpYDdouH52IRfVZPHwyg6eWDfxsEVFponrZhfw49caJjyuV4s8ds1MiveYpm0aDPC1pzewom2EDJOGkVCcUCzOrYsqea/ZTZc3zPWzC/jaySU40w3Uxywt7gD/88IW3MEodTkWNCqRFneQ06dk8JX5xfslkHq8Yf6+sp3XtvUTkWR0KpFzq7O4cW4RuRYNnrX/S6DxP9hm3YRvy6OE25ckHyuotJimfg5z1afRF5yOIBx60R+MxlnX7eXxNZ10jITIs+r53KwCTsq3piyIJmNzj5cvPrl+wvrgjDwrv7+k9rDFZAE0Dfq57OFVtA6NX6gV2/U898W5ZFt0mLXqdFJKmjTHIekK3DGMw6BBYHeu6dtNg7zTNIhVryYQlcix6GgYjeGKxOWkeINEfNCu/qK/fdTOgmJHytZmWYaJX51fTacnTCQuYzdoKLDpkWSF7f1j+o1IVPZ2bZW2DYfGVd7GEo7L48yKIWEq/MW5RVwwNZstfT5KHQbmFjlY1T5MZZaJry4o5szyjLR4mwBZVo6ZC+yUDBN/vLyeNR0jvN00iEWn5keLK6h2mfe7upVr1fODM8v47Ix8/NE4Zq2aQocerSoxiWmquhop5Cbcs4Lo4AZUlnzk8DAoCoLaQKTrPcxTP7/f4m3AHyEuK2QYNWjVE099SrLCy1v7uHtpc1KA9foirO3y8O1TS/nMjPyUKvNErOoYmXRzd0O3l25vhKrDKOA6RsITijebXo0/KvFR+wivbe9nTqGd86uzkrYtadKkOT5IC7hjmCK7gXlFDla07w67VwBPOM70PCvWMds54T2awU+fksGjqxN+bcOhGIPBGIWO1Oc3atVUulK/tNUqgSkZRtZ2eZCVhFP9gD+aFHDT8tRkmbRkW3T0+cYPQ+Rb9cnYoLGE4xLPbOxhJBQj16pnXZeX1xoGKHYYkBV4ZmMPiyv3nkRxotPri9A8GKDTEyLHoiPTpGVzj5d3W4bIt+m5YGo2VS4zxiNsNbEnhXYDhXYDl9XnHvRzaVWqcXmbu9BYCrHUfZGBN25EENSAgNpSBKKY+H9BJNjyEvq8k/fJyqbbG+athgGe39KbiIgrsPGZGfnUZFvGCeSOkRB/Gu0r3ZM/r2jj5BLnpOe9i4kGNHahkJjIPpT4wnHcwSgqUSDHoiMUG5+NbDeokZXEe20oGKVhwE/DgJ/nt/Ry72V1++yDlyZNmqNPWsAdBgb8EVAUXJYDn3ADsOg13HxmGb9/t4Xlo31uAjCnyMHNC8sQhEQlrdkdYKyF3Odm5dM6FEwxC93T4T0y6sXmDsYwakQK7bu9ny6Yms1zm3sZDsXH+XRdWpvDr97ewWdPyufeZS3jzvlL84vInuB1W/UaarItvNbQj3dgd4WvcbSCeH51FtbDWI041mkc8HPby9uSfYnBmERckrltUQVNgwFWdYzw/OZebjqjjMvrc8YlAZyoiGodgiBO2ucmRzygyCDs/ffR5wvzk9e2s77bm7zt9YYBlrW4+eNl4xMkur3hlCzTsUTiiYnwjxNwswrsKf1vYyl2GJIRXgdLXJJZ1+3lrx+2sqHHi04tsrjCxQVTs9FrBMIxBa1KwGbQoCgKgahErlVHlcuETa/GE47ji8R5cHkrv72oZsIEjDRp0hx7pD+ph5CGfj9Ldgzw9IYeAC6py+bcqqy9Tn1+HEUOI784P5HF6AnHsOo1FNn1yd6Z319ay6YeL2809DMSirOg2EHDgJ9XtvUjCgJqlcDULDMuk4atfT76/REcBg0vbOnl1e39SZFX6TJx++JKpmZbqHaZuX1xJd9+blPyPDQqgetmFxCMSXSOhPFH4lxck83L2/qQFXCZtHx5fjFnlGVM+Do0KpGrp+eypGlgnAu9ViVw1bS8T+zwwnAwxi/f2pEUb3FZoc8XIRyT+fXbTXx5XjH/GvUPvPe9Fk7Kt31iLChEvQOtq55Iz0cTHjcUnoEgfryY3dLrTxFvuwjFZP66oo3fXlSTMqDwcfW8fdnRLss0cmqpk/fHmP0CqAT41qmlZE4Sm7e/bOj28p3nNiU/V6GYzItb+4jLCl+dX8L9y1ux6jV0e8MoSuL9tbjCxVMbu7ludiEPrWwnEJVY3TFCny+SFnBp0hwnpD+ph4iGfh83/mcD67t2XyRWdozw+NpO/vHZmQcl4vbMYhxLnlVPnlXPorJM3m8d4hvPbKTLFyEuJVbdZZlGbj6zjPveb+WNxn5qsy2YdGr+uaaTPKse0+h2XONAgJtf2sqDV06jwG5gRp6FHywsT063Ok1aVIAnEudLc4uw6tRcP6uAz5yUT1SScRq05Nn2XnGsybbw24tquHdZC22jtiHFDgPfPX0KNdmfDEEyER2eEFv7EtPGxQ4DToMGm17N2k4P7SMhjDoVcUlGrRKRZIVNvd5PjoDTmLDUfoFI31qQUzM7RYMLXe68fXqed5oHJj22pnOEgUBqgkS+TY9VpyYQjZNr1aMoJK17LpiaTTAm8eLWPortBoodhgn7/5xGLT88s5yZBYM8s7EbXzhOdZaZ6+cUMiPv0GxV+iNx/r6yfcJorle393PPxTVkmXX8bmkTsgwus5Yr6nOx6FTc934r2/oCLK7M5JVt/SgkpsLTpElzfJAWcIeINxsHU8TbLrb1BXh+c29SwPX5wkQlBYdBc0hXulFZptkd4Oazylnd4aHPF2FqtpmZ+Tae2ZiotgkCzCl08LM3G4lLCl2eEMUOI7rRZuw+X4SGAT8FdgMqUWRjj5eaHAs2gwabTs26bi+PrOqgzxehymXGadKysCxjn7fz1CqRU0szqHaZ6fFFEIAcq+6QVSKOVwKROHlWPZfV5bClz8eWXh95Vj1XXZDHC1t6cQeidHsjGDQqbAY1oUm29k5UtBl1ZCy8B+/GvxAb3AKiCkP+6ZjrbkBjLdm351BN/h4VRYE9W+gKbAZ+ck4ljQMBNvX4EEW4enoeFr2KO99oRGD3Y04vdfL9M8vJncAUOMeq59pZBZxb6SImy9j0asz7MMG6rwwFo2zsGf+9s4unN/bwtQVFSIqCUSPij0o8vaGbzb2JNoYN3V5umFtItkXH9bMLeafJzcbunRTYDZxT5aLSZfrEbNenSXO8kRZwh4ABX5hnN/ZMevy5zT1cNS2X91uHeGZjD75InCqXmS/OLWJGvvWQfEG2DYf4y4o2FAXKMk04jBrWdXnItuj424o2nCYtOrWIWkwEeOfr9SiKQlyW0chCsol7pzsIFWDSqajPtfKrJTtQiQIdIyGmZBj57mml/P2jdsJxiZ+8tp3/u2Iaswvt+3WumWYdmWYdsbhM63CQD3YOE4zGqc62UOo0Yj+EJqvHA5kmLZfV5fCjV7bjjcRRUIjEZZ7c0M2tZ1UwxWkkEJUIRCWCUekTU33bhaDSoM+Zi9ZRjRQaBFGFypiNqN73HtPFFZm8sKV3wmOnlmaQvYfhdacnxJPru3llez/ecJxIXOYFSy+LyjM5ryqLNxp3V/SW7Rwi19bJ904vQzXJ3mqW5fAsUlSigEGjmnRgwqpXMxiM8a9RW6D4qN3QWOx6Nd86pZQfv7adYExCqxJRiQJPbeji1kWVXFCd9bETt2nSpDnypD+VhwBJ2ftEmV6tYlmLm/ve20mXJ9EcvbbLw3ee28SHrcOTPm5/6BgJIyuJ6bamwQDrujz0+iJoRIGRcJy4LKNXi9TlWpFGcyib3EF2DATp9kaSF4D80RzHle0jPPhhK6IA3lET0BZ3kNtf2843Ty1FrxGRFHhyfRfhCabdPo5wLM5L2/q4/t/r+MVbjfx+WQtf/s967ny9gY6R4CH5nRwvWPVqHlvbiTey22xVJQooCjywvDVF4J9S6kB9jFiK7I3WoQDLmgd5vaGfDV0egtHYuPv0+yK0DwcZDo4/NhGizorGPgWNtXi/xBtAVZaZc6vGG9c6jRq+OLcQvSZ1EfVO0yCPru5kMJCY6nQYNEQlhYdXdeAy69CqhJTP/Etb++icwBj7cJNr0XNeVdakxy+qycY2puKnFgVyLHpyLDp0apFih4FMk447Xt/O1j4/rUMhOkZCyWzbu99pmtDwO02aNEefdAXuEJBj1XNJXQ6rOz3jjgkCnFuVxX839dA2EkJREhdsi06NTi1y3/stlGUYybXq9ysgfk/0k6yQJUXBrlcjIPCNU0p4YXMvC0qcPDNaMZQVhYFABFlRmJptZmqWmeFgjIdWtqNRidgMGjzh+KhoEIhJiR6sikwTze4gTYMB/JH4uAvgx7FjMMiv396REJ0KhOISw8EYj6zuwKRTc25lJrW51k+EL9yAP4o7EMVuSEwEyjKgQIYxsc2+qddLbbaZsypc5Fh0vNvsZmaB/Wif9qS81+Lmpuc3s60/MWFs1Ip8fUEJX5pfTKHdwKA/wpKmQf61rovBQJRiu4EvzitibpF9nwxyDwSnUct3TytjYXkmz27sIRCVOLXUyVnlmeOmSXu8IR5embDgURQIRiUkdaKnVBQEXtraS4FNz7stQziNWowakUBUGmflcyQQRYGrp+eyqmOEZncg5dinpudRnWVGUQTmFdn5qH0ESAwkOYwaLHo1F03NotcXZkvv7snw0GjucqE9IZK39/sp/5iJ2zRp0hx50gLuEHFedRaPr+lMGuvuoizDyEkFVn65ZEfytgF/FElW0KlFWoeCvNvspsMT4rK6XKqzzJN6WvX7IgwFY2hUAnlWPYYxfmBFDgNmnQp/RMKoUXF+dRaZZi1RSebey+poGPCTYdJyz7Jm7jy3msFAlHeb3cnH69QCPz2nihKnkY6RxCocEit2rUpMaZLeMRCgfFTAZZl1GPZTvAG82TjArhjVQDROpye8K/KSf63rwmHQsLxtmP93cslhdas/FojLChqVSI5Fh9OoJSbJhOMykbhMNC7jMGi4dnYhS5sHeWvHAF+aV3RUz1eSFYJRCb1GHDc5vKnHy7VPrGUwsLuqFozK3PNuC06jli/PL+TBD9t4fsx2ZuNggFte3sbNC8u4alreYTMtzjRrWVzh4rRSJ3FJmTQWKxSTGQxGU24zaEREQSAmKwwGYhTaDfgjEv5oiAKbniK7AfME/nwjoShdnjBqUaA8w4hqL714B0qRw8jvL6lhY4+PpU2DiQVQlYuqMebKty6q4NFVHby6vZ/wqHH3FfW5jISijITi454zMmrIrVGJE/rJpUmT5uiTFnCHiJpsC/+8ZibPb+nh2Y09KMDFNTlcXJvNS1tTe2+sejXBqESfP4JWJRKMyzy7qZfXtg/wh0trx1VXglGJ93a6eWB5K12eMCpR4ORiB18/uYSKUSPeIruB2xZVcteSRq6fXcT9H7Sypc+HKCSMV/Nsek4ucWLUqrjzjQauOSmfKy+rYzgUw6RV4YvEk9YIerVIpklLx0gYURBwGjUpnlg5Vj2e0W3Vz5yUv1/5kLvoHGuZ4Y8wdgd6MBDFpFXx0MouLpiaTX3uiS3gXGYtGUYN7mAMnVpAoxIYCsaSv3OLTs0Do6ayAnByifOonGdMktnWlzB93d7vI9ei56rpedTlWJIDOSvahlPE21juX97KmeUZk/ai/WVFG/OLHRQ5jBMeP1To1Cr29pZ1mbTMLrCnpBhoVCJxSUEtCkzLtdDiHt3mVxILq5sXlqVMYUejEqu7PTz4YSvv7HBj1Kq4ZmY+V03LpTbn0Jvl5tkM5NkMnFc98XZqvs3AzQvL+ezMfMIxGYtOjScU4wtPrue62QVkmrQMBlJFa1RSMAFVrnT1LU2aY5G0gDuE1ORYqMmx8PmZBciKQq5Fy7ef28q8YgeCkNiOQQCdWqTfnzDInVdqZ+fo1kcwJvGnD1r5/SW1KbYEK9qH+fGr25Ou8JKs8N7OIRoHAzxwxTQKHQZEUWBhWQaFtmn8zwtbaRsJ4jJrMevU6NUiQ8Eo973XwudnFvDQyg6e3NDNfzb0YNCIROKJMPGzKxM9Qi6zjmtmFPBO8yD1uVYEEhYKT27optsT5rRSJ39d0caX5hUxcw8D1H1lVqGd93YOEZNkovHU/sEql4l+f4TqLDMD/giNA35MWhX5NsMB/axjnXybga+dXMKv3tqBAoiCQJY5IaDPrXbROOBP/u2/NL+YKc7DK3AmY3nrMLe+sjVZjW0cCPBui5vvnDaFq6fnolOr2Ny7eyJSQUFRdr/vO0ZChGLSpPFSnnCcfn/0sAu4j8Oi1/CVBcW8uLWPSFxGoxIIx2SGQ1EqMk0sqnDxzf8mPBKNmoQwO7nEmVI5X9Xl4eKHPkr2jwL8/M1G3mjo52+fmnFQtkIHikYtUurcLcb8UQlRSGx5f2l+Eb9e0pR6f1FgcUUmxUf575EmTZqJSQu4w8CuzNFIXEIG1nR6+Or8Yh78sA2tSiA4WlnJMGr53MwCHl612619U4+Xfn8kKeCGAlH+8uHEkT59vgjruj0UOhLCRqMSCcdl+gMRCkeHEVwmLaeUOsk0anGHokxxmnhkVWfyOUKxRN/OvCI7JWO+qOvyLLy+o5/bXtlOVJIpzTDw9QUlVLhMmLVqHv7MSRTZDSnbuPvD/CIHNr16wu2Zz88qwKhRMRiIctOLW9CIIhlGDdecVMCFNdlkmE68vrhzKl3Y9RoeWtlOy1CQXKuO754+hYpMM/9Z38UF1dlcXJtNVZbpgCqeB0uvN8zvljZN6Dd2//KdzCu2U5FppmK0V0pWFGKygiTvvn+WSYtGJVKRYWLHHv1au1CrDu+AxlAgSstQkM29XkxaNdNyrZQ4DeMmwWflW/nX52fyszcb2dzrQxBgep6Nry0oxheO8odLaonKMmpB4KOOkZTHDvgj3LusOUW87eKj9hHWdnoOiYDzh2LscAfoD0QxalQU2PSUZkxcLev3R9ja5+OtxgFUgsDZVVmUOY0sKHbwQesw+TY9vzy/msfWdNI4GCDXquM7p0/h8rrc/c64TZMmzZEhLeAOIzp1ohftV0t2cPoUJ7+/tIblO4cZCcUocRqpdJn4z/rupIiC3cH1u/BEYjS7J5/KXNk+zCW1u2OGfGMmGc8qzyTLrOOxNZ3sHAqSY9Hx7dNKuXlhGXcvbU7erzzTyN0X1yS3gLo9IW5/tYGd7gB5Nh3ReKJK9tDKdn5zUQ2nT5K2sD+UZZq455JafvtOEz2jU7BZ5kSag0Et8npDP69uH6DEaUAjgjsY474PduKJxPja/JITztbAqFWzsDyTGfk2vOEYOrWK7FHridOmOPcp6xMSi4Yeb2IoxWHQ4jAemotvlzfMzqEg/ohETJYxa9VoVAKhmEwoJrF85zCSpHBqaQYmrYrhUCxFvAF8cV4R/1jVzg3zCrntle3jfkaR3UD+BF5qh4puT5hfLWlMNvNDosfz+wvLuHBqFnrN7q9DBYFzqrKoybLQ4wsnwu239fHPNZ0pnzGAqVlmcsbEx/V6Iyk2I3vy0tZePjer4KBeS4s7wCMrO/jj+zvxRxPnM7fQzj2X1LJgjy32Hm+Yn73RkDJk9cr2fs4sy+Qbp5TiDcd5f+cwjf0Brp2VT45VT3WWmWl5B1ZdT5MmzZEhLeAOM3OL7FS5TCxrGeLDtmHqc6x8ZUERP361gSVNg+OmR+tyLCmeVGpRxKRVTZrL6NrDBHeXh9rULDMalcBPXm9IHuv0hLl/eSuX1+Xywo1z2NDlpSzDRIXLRFnm7urb5l4/bcNBRFHAIKpShhT+uqKNmQU2sswH72s1Pc/G/10+ja2j5rXhuMR7LW4umJrNaw0DOI2acRmuT67v5oLq7I/NoTxesRs043zwBEEgFEtk13Z5w+hU4migvD5F2DUNBnh4ZTvvNA8SkxSmZpn52sklzCmwH5TgjcYlBvyRZE+YSkxk67YNJ3okRUGgxxfmG//dxK/Or+ahT0/ny09tpNcXGT1/uOakPOYXObjm8bXMK3aSbdbS59/dc2XUqPjBmeW4DsH7aiJkWeHZTT0p4g0SPZi/ebuJSpeZykwjG3p8PLe5l829PsozjFw1PY/puRZAYG23Z5x4M2lVfOf0KalCWQCNKAITf2YPdvEhSRLPbOzhV2/vSLl9ZccI1zy+ludvmJMivt5tdk84If9O8yBnVmTyu4tr6fKG6PVF2dbnIxQbHV6ISgdcYU+TJs3hJy3gDjP5NgN3XVjD2zsGeXlbH/3+RLVpUUUm74yZAoXE8MA3TilN2bLIs+q5oDqLpyYwChaAMysyU24rshuYVWBnRp6VO99oTDlm1KrQqkTeaOzn6um5zC608e+1nTy0MkpdroVPTc+nNsfC2s6RxAMUiEoysqIgCIlp1PaREJ5Q7JAIOACHUcP84sR26jObetCpE6akeVY9Rq1qnDFqJC4zEIiesAJuItyBKH9f2c6zm3qSVS2bXs2PFldyWqkTtUqkfTjI957fnBRNANv6/dz0whb+99I65hU7Dvjn7xwK0TQYIMuspd8fxaJTM+CPEpcVRAH0GoFsiw5vOM4PXtrGHy+r5c9XTSMcl/GPpkxs7fXx+X+tBaBtJMS9l9by9MZe2oZDTM+zcmZ5ZnL79XDQ4wvz3OaJzbYVYMmOAYaDdq58dFWyIv72DnhoVQcPXlnPVfV5fH5mATNybTy9sRt3MMbMfBvnVbuodKUaK5c6jFwxLZeHJgmyv3pa3kG9loaBIH98b+eExzpGQqzv9iYF3HAwyn83TW4y/vSGbupzLDy6ujNlKl1cDt84uZQrp+UelS37NGnSfDzpT+YRoNBu4Po5hVxcm40kK2QYtZxWmsFpUzJ4emM3vkicGXk2rpyWy9Ss1N4YlSjw2ZMK2NLnY2vfbq8mUYDvnl5GxR49LzaDhlvPKuf9nUMp1QKTVkWORYdKTHi5rewY4ZFVHUkD3y5vmKVNbv7vinqcRi1xWWEkFGMoGEWSEz/PpteQa9Md8tB5lShQl2ulymXGH42zoceLVT/5W3Myz7sTBW84Rrc3giTLZBi1fNQ+zFMbulPu4wnHuf3VbcmG+FUdnhTxtgtJVvj7R23UZJsP2I5lQ7eHd5rcfOPUEn76euNor2WiuiQrCtfOKmDNaB9YMCbhi0h8+an1BGMJ8+hgNNUfrcxppNxl4ZZFFmRZOWy2IWOJScqEPWm7aB0OsbrDQ0xS0KiEZK9fXFL4/gtbqc+1Uptj5eRSJ3OK7MQkGb1aNeG5m/Vqvr6gmKVNg7QMpbY/fPakfGoOoP+tadDP+zuHWNvpYXGlC1Fk0sr8pjHRWjFJJhSf3AbEplfzRuNAingDkBW474Od1ORY9jtpJU2aNEeGtIA7gow1pc0067i4NoeFZRlEJBmbTjPp1kqhw8DdF9XSOOBnTacHm0HNvCIHpU7jhAa6xU4jA/4IJU4DkqygGvVy21XNisQTfUvxPXqUIpLM3e80cfOZ5fzyrSjuMQ75sgLDoRjnVbuw7UVcHQwatYhDrWWK04hNr05alYylxGGgwH74+qSONpt6vNy7rIVNPV4UEkMoF9Zkc3KJgx0DAYZDseTfTRAEVrQNMzXbwrIW9+TP2etjKBg7YAHnCcVoHwmR0afhD5fW8k6Tm/d3usmx6Li0NgdvJM6SHYPJ+8dkmc/PTPi97Sne8qw66nJ322gcCfEGYNWpKXUaxwmqXZw+xUGfL0Z9bkJc6TUqXt7ax/LWYUbCcVqHQkn7D41qvP/dLoaDMWKSRF2ulaeun83bOwZ5dXs/Zq2az83MZ3qeda/VY38kznAohkYUyBntB1zb6eF/XtyMP5IQYhUuE8PBGFa9GlkhZRAow6ilfszv12HQMqfQzgtb+ib8eYsqXfz5w9ZJz+fFLX1pAZcmzTFKWsAdZSx6DfuyHs+y6Miy6Dh1yr4NEBQ5jJRnmOjaI/cQEluvGlEc12QOCVNVjUrgKwuK+c3bTYy9S5XLxMklTjpGwjgOU0KCJCtIisJtiypoGw7R7A6wrMVNKCYntw0zTYenT+po0+wO8L3nN6cI1y5vmHuWNvObi2pwGrTkWHUoSkKUB6MS3kicDd0eFhTbWdE2xAR/Ukxa1UFNd9aOCoJ13V629vv5wcJyiu0G+nwR/vZRO1a9OkXQZBh1fP3kYoaCUZ7e2JM8p0qXiT9dUX9ULDScpsSAzK2vbBt3bHFFJsPBOD94aWtSDGlVIl+dX0y2Wcd/N/cSlfaestDni/Bei5unN3YTiErMzLfxqRl5fOe0KdwwpxCtSsS4l63IWFxmXbeHR1Z1sKXXh0Wn5tK6bBZXuPjtOzuS4g1gfaeHK+pzeWxtJ/lWPT1xmZpsM9fOKmQkFMMTivHBziEqMo1kWfRcNS2PJTsGx1Xr7AYNJXYDngmMfJOvyx9GkmRUh7jqniZNmoMnLeBOULIsOm5dXMEPXtxKcMwKXS0K3Lqogue3TN4X0++P0joU5I+X17Gl18dIOE5dthkFgYdWtpNt0TEtb//NSDtHQrQMBRjwRymwGyh1GlN66XZd8J9Y20kgIhGRZKpcJm5dVIEkK9RmWya1STgR+GDnUGrVUYHwaKzR799tpi7Hwivb+rh+biF/em8nO4dCuMxaHlvTyawCG9fPLuThVR3jnveCqdnkWg68almRaWJarpWNPV4icZknN3RR6jTx5IZucq2pW+qLyjMpdhiwGTTcfXENXz+5hP5AFJNGRbHDSGnG0fMUW1Ds4PazK/nz8lYGAlEEYFaBjXOqsvjOfzelBMJHJZn7PtjJry+YyrKd7hSLnbHEJZmmwQAbe7yJKqdOTYs7yCvb+3mneZB7L61nZsHHT3N+1DHM91/cmlxUBWMSf1nRjlWvoaE/gFoloBIS08pb+/18bmY+3d4wW/t81OeY+cxJBfz8zQayzDqsejX/WNNJlcvEL86fSnWWmfsur+fvH7XxUfsIggCnlmZww5xC8m16yjNMbBzj3zeWOYX2tHhLk+YYRVCUvaSwpzmuURSFHYMB3mtxs7HHR5nTyKJKF6KgcN2/1k/4mKlZZr57+hS++vRGAArtenRqFT3ecHIFf88ltZy+j5XAXazr8nDbK9tS3N4rMk384vxqpmSYUBSFf67u5L4PxjdnZ1t0PHjlNArsJ6aRLySmJL/5302sGuMpFonL7BwKJvuyfnhmOTaDmltf3oZOrUKjEnCZdOg1iWrqBVOz6BgOsbV/d69klcvEXRdMTXoTHiidIyEeW9PJq9v7CcYkrp6eS65Fz1MbuunxRbAbNFxZn8tl9TkplhrHIt2eMO5gFI1KIMes4+dvNfJus5t+f5TuPSrWC4odfGV+MZfUZmMzpFade71hHl/byRPrumjoD2DUqLi4NpuZBTYeXdWBAszMt/G7i2ux7KXtYCgQ5Zv/3cSOwfHeeDfOLeJvH7Xx6Rn52AyJ4RGHQcOgP0owFmdhuQu1CN9+bguyomBQiymZymdXurjj7Er0GhXBaMIoWRAg26xLtl+8v9PNTc9vGec1adWp+fPV0yjPNJMmTZpjj3QF7gRGEISEPcIeU3LecIwrp+UmA+13oVeLfPu0KZQ4jFRkmtgxGKBjJPWCZjdoKN2HJIDBQIT24TC+SAyHQcMPX9rKcCg1YmnHYIC732ni7otrGQnFeGxt54TP1edLmJCeyAJOFAVyLKlbw8GYhKIkbDuyzFo0osBOd4hwXCYqKZRnmpIDHSpRYFmzmz9eXs/bOwbxR+OcUuqkJttC7iHwViuwG/j+wjKumZlPTFKw6NVkmXWcW51FIBJHqxbJs+r32a/uaJJn0yc9Dz2hGF2eMMJoZJxWJSYnxbVqEUWBBSWOceItGJV4YHkrr2zvp9+XWJQEYxJPru/GG46xsDyDd5rcrOvy0O+P7FXADQajE4q3XXzjlFL+9EEr20eFeVyWybfp+f7CcoLRONv6/XSMhFAUyLXqsBt2C7ilzYPcOLeIskwTRq2aEuf485hdYOfn51dz/wetSQFbl2Phu6dP+VjxNhyM0uEJE4pKOI1aih16tOq09UiaNEeCtID7BGLVa/jK/GJmF9h5akM3I6EYM/KtXFqXS7XLjCgK3La4gu+/sBX3mFBvk1bFnedWUWDbuyBo7Pfzk9e30+QOohYFrp1VwPpuL7kWHVq1mDLlt6bTQ+tQEJUI1VlmVneOTOj2v73fzzlVE+c8nihcVJPNS1v7kpWQ2GjflYDAlfW59PjDDAdiaFUigpCYDGaMXgrFZUxaFTctLDss56dWieNirrLMOjhM3m1HAqNWRXmGiWZ3EI1KxGEUMetUSLKCKAicVGAj3zp+4dA+EuL1hv4Jn/O1hgH+eFkd7zS5EYSED97eUAmJ7dEJ3vZE4zKvNfQnxZtCIt2ibTjE31a08Yvzq+nz7c4S9oQSww3i6A+NSQqRj+nf02tUnFuVxYxcKwPBKGpRIM+ix/oxCQzb+3386q0dbBs9N40ocP7UbC6rywYE8q16nCdgakqaNMcKaQH3CcVp1LK40sXJJQ6iUsJZf+zWS12Olb9cPY3NvT4aBwIUOQxMz7VS6jTutcrS74vwo1e30TqcMH01aFTJqbqLa3ModhjwReLY9Gq6PWGe2dTD+m4P/1rXjU4t8qW5RXzQNszG7tSenJzD6NB/rFCdZeabp5Typ+U7kRUwqFUoRDljSgYOo5a/f9TONTPzUZRE5NSeHnlZo9m3afYdjUrkyul5vNU0mOw/S0yZJrTx52bmT2hm6w5Ek4LLolenVJcVJZEzKgBzixwpxtwTkWvVMafIwYq24XHHTDo1TYMB8m16BgNRInEJjUrEbtAwEIjS74tQPmaqdU+p5jRqsO7jeyLbqid7Hz9nXSMhvv/iVvpGrWvissJgIMrd7zTR74/gj8SJxGVuOavigPpl06RJ8/Gkv+0/4Ri1aibbEC1yGClyGLlg6r4/X+twMCneAALROAU2PT9aXMH/fbCT1qEQoiCgoFCfY+Er84uJSgp9vgi9vjDvNrv5w6U1WLQqVnYkqnE6tcjM/BM/1kcU4KR8G3eeW0U0LqNTq/BGYixtcnPXkh3IClh0auyG3VOfoVhCKGhUItfNLjwk26WfNGqzzdx5bhV/eLc5aZ1j06v51qlTmJ478fvOoNm92NGpxXG2Nzq1gEWn5qvziz/WCNeoVfP/Ti6hccDPUDC1zcBhUKNViRg0AkZtojIYikm4g1GicQX36OKoPNNE02AA25jqG8AX5hQdltaDhoFAUrwB+MJxBkaTNZ7e0MMdZ1fy0Kp2/ufFLfzlqmkn9PBRmjRHi7SAS3NIiUsyX5lfnLQDea/FjU2v4X/f20njQCAZjaUosLrTQ4ZJy2V1uaNxS/mUZBhZ3jqC06jmC3MKGQrEWFDiZMo+9N0dz/T5wjy+tovfvN1EICqhVglUuczcvLAMGSW5rfrEmk7+9qnpPLi8jXdb3ElR99UFxcw4ASodwWicUEzColejVR2ZXiqtOrGFWJttSeTIopBn1VNgm7ynr8BuoMhuoH0khFoUyDLrMOsSlbhci44Cm4EHrpo2rv90MqZmW3jgyml8sHOID1qHcBq1XFqbg0mrQqsSkJTEBLlaFFCAXbuiDoOGR1d3cNMZU3h+cy873UEkWcGiU3P97ELOr3Ydot9SKjuHdvfsxSSZwTGtFr5IHHFU346EYqzt8qYFXJo0h4G0gEtzSFAUhbVdHu56u4l3mhKmsg6jmi/OKUpWDMxadYqflsOgYXOPjyvq87hoajatw0H+tLwVRYECux4BgbMrXVS5TEfM8PVo8V7LEHe8tju3Nj5alfzCv9fz2DUnMa/QjnrUu28kFKPIYeC3F9WgoCAg8GHrEN99fgt/vmrauD614wFPKMbaLg//XtfFYCBKVZaZT03PozbbctDZoftKgd2wz9WqLLOOn5xTxQ9e2oI7GEOtErCq1BTY9fz6wqnMyrfv93t2SoaJKRkmrjkpH1EUEASBYDTOGWWZvN202yhZrxYpshsoyzAyGEh8rryhOL+/pJYeX5jmwSC9vghv7ugnEIsfluzgsZVeWUm8X3ehU4tjWzPZ3Ovlymm5H/ucLe4AvkgcvVqkKuvIewWmSXO8kRZwaQ4JTe4A//PCFkZCcXTqRNRSrzfK3Uubuf/Kevr9UTKMGgwaLerRC9tgIMpAIEpMknEYNdy9tAcBAUEAtShi0qr4qH2Y91qGuHrGweVHHst0e0Lc9/7E2ZaCAGu7PJw+JYOGAT9lGUYCUYnnN/fy1o7BcZFj67u9x52AC0YlHl/bmeJh1z4S4p2mQX51wVTOLM/cy6OPHtPyrPzl6uls6/fTOhSkyGGkJstM8UFWi8f6rhm1ar59WikalcCSHYPEZQW9Cn54ZgVlGSYkReHSuhzKM0wsa3Fz9T9WJ7NcAV7c0s/bO9zce1ktxYfwfVGTbcGqU+ONxBGExKT0rrXZ+dUuNozpYS36GFHcNhRgQ4+Pe5c1s6XXT6HdwFfmF3FGWUZayKVJsxfSAi7NIeH9liECUQmNSiDPpqdzJEQkHicqKcRlBZdJi0oU8IbjGLUqBGAkFAdBwWZQ8+iq3RYialFAOyY54OmN3SyuzDxs6Q9HG084TvMENhKimGhwf3/nEOu7PLyyvR+1KDCrwM4jnz2J21/bxp4Dhhu6PVxSm3OEzvzQ0DYc5NHV4w2I47LCvctaqMky73Nz/ZFmV5/o4STfZuD2xZVcN6uQQCyGogj83/s7eXJDN6GYzKx8G7ctrsCoEVPE2y7ebBxgW5//kAq4EqeRX184lR+/th13IIZdr8EdjHFqqYMzyjL520dtAGhUAgtKHJM+TzQa5c0dg3z16Y3JSdqBQJSvPbOJb55Swk1nlFLiTPvQpUkzEWkBl+aQsK7Lk/xvrUrAptdgN2iQFYVWd5CZBTbeaRrEYdDSORLCbtDgMmuZnmelzxthKBRFVhQEwGXWoRF3VyH80fjHRhkdz1h0KoqdRjw9XsbaamtEkbbhIHMKHbS4EwJPAVa0DfPQynZ+c2ENW/p86FQijQN+lrUMkXeMCp29sb3fj6wkttQXV2TiNGqJyTIaUWR15wi9/sgxK+COFHqNisosMxu7PXz+ibVs7ttt1rymy8NV/1jNM9fP5twqF683DIx7/JuNA5xXfWhteOYUOfjbp2bQOhxkMBBFlmFDj4e/r2xHVhK2Q7efXUn5Xvrftg2E+OlrDUxkJ/+n5a18dmY+Jc6JHytFRpCjfkSVFpXxxLYYSpNmIvZbwPX09LBkyRKcTieLFy9Gq91dFQkEAtxzzz3ccccdh/Qk0xz7FDuMfDjGBiEQjROKyQgCvNM0yO8vrcWgVvFGYz+CIBCOSyyudPGVecUs2dHPvCLH6BSdBm84TkxWcOg1qFUC03Kt2D/Gk+p4RZIVZBn+38kl3PrKtmTGaSgmEZdlZAVOLnHwzMZuBEFAAApsel5v6Of0KRn84MVtCAKcPiWDr8wvZkHx5NWOY5lsi44r63P5w7IWWtyJwHmdWuQzJ+WhOg7MgY8UG3p8KeJtF4oCdy1p4r7LaicUcJqDyMLdG2P7Bj2hGOWZJmbk2TDr1JRnmiiyG5J2N1FJomM4jC8ax6xVUWAz0B+I0D1mmnXP17S118eC4lQFJ8eCRHpX4dvyCHFvK6LOganqUxiLzkoLuTSfKPZLwK1atYpzzjkHWZaJxWLk5+fz3HPPUVtbC4Df7+fOO+9MC7hPIOdUuXhqQxeSAqKQqMCF4xEyTVrOrnLx3ee28I1TSzh1ipOYJOMy6RBFheFgIoZpVqGDl7f20T9qRRCISkiyQpFNz2dPKkB3Arq7R+MSb+0Y5LfvNHFyiZPL6nL4+0ftmHRqHEYNRo2Kn51bxVPru1GLIiqUZN+RJ7y7KqkosKzFjVWv4pKa7KP8qvaf6iwzl9XmcMdrDSl+apG4zBNru5iZb6Mu9/ifsD0UvDtmmGFP1nZ6EAWBn55TiVol8v5ON683DKAocP4hrr5NhM2gYZpBM6HvW683zMOrOnh5Wx+RuIxaFFhU4WJRxd77G/f83CuKQqjtTUZW3pW8TYqH8K69l9hwI/ZZ30XUpt8raT4Z7Nd412233cbll1/O8PAwfX19nH322ZxxxhmsW7fucJ1fmuOESpeJHy2uRDc6MWjSqcg0aplf7CAmKWzq9fFh6zCPrmonLit81D7ML99sYigU57dLm7lnaRO3Lqrg1BJH0rl+itPIry+qoTbnxGxk3j4Q4GdvNhKISrzZOEA4LnHvZXXcvriCB6+axmPXzEzGVc0vtiMgoNeo8EXiGDWJRIsss5Zcq44Sp5EdA0E698jyPB4ocRiJyXJSvCkoyIqCgkKWWcdTG7rp8oQ+5lk+GWROkmygUQmYtCoGgzFueWUbt76yFVmB2xZVcOPcQioO8RTq/hCMSty/vJVnN/UQiScWHXFZ4fWGfsxaFVOzJu5xM2pEqvc4Jvm78G7884T3D+18lZi3/dCefJo0xzD7VYFbs2YNf/rTnxBFEYvFwv33309RURGLFi3i9ddfp6io6HCdZ5pjHJ1axXnVWdRkW2hyBwhGJVwmLU+s6+LPK9rQqgVWd3r4yTnV3PLyVrb1+zFpVQwEogwFY6zq9BCOt3FWRQZXTMtFEAQ6RkLoNOK4xIEThde29Sfd/wHWdXlZ1+Xl8tpsonGZO17fzjvNbnQqkcvrc7i0Lof73ktMq141LY/1XQkfvbG4A6lGsMcDBq0KdyBKgV2POxAlPJpDatWrGQnF2DGo4AnF+QR4OX8sF9Rk89ulzSm3qUUBSVb41Ixc1nSMkGPR4YvEWdo8SJ5Vxy1nlZNnO3o5wu0jId5oHL+tC/DI6g7uvriGT/9zDYGolLxdEOCeS2rJMWtpGwpi0qrINOuQQoPI4aFJfpJCbKgBXWbdYXgVadIce+x3D1w4nLrCv+WWW1Cr1Zxzzjk89NBDh+zE0hx/aFQiZZmmpOfUk+u7WNUxQuFoj0yGUUPrcJC+0fDvuKygH3W0FxDo8YZ5e4c76SMHcHn9x/tHHY9IskLL0PjJ0/IMI+UuM1f/YzValQqXWYs7GOVvH3Uwq8DGDXOK2D7gZ3qehSfWdY97/J62IscLZZlm9GoRnVpEqxKT0UyKAlqVyEAgApyYldj9YYrTwK8vmMqtr25LNv4LAtRnW7nmpAJufWUruRY9LrOCKCTMsgPRozsANBSMpixUxrKyfYTvn17Kkq8u4NnNPazr9FDkMPD5WQVEYjLffn4zvb4IuRY9180u5OTsvfd4CuqjJ1TTpDnS7Ne3fV1dHcuXL2fatGkpt3//+99HlmU++9nPHtKTS3N8s2u7Z5fvW6XLxAubexFFKLQbEAUBWYZCm4GBQAR/NNG4vysmqthhoNB2Yk4fqkSBmmwLazo9KbdfPT2PXy1pQlEScWMJo1YVTqOWfn+E6flWtComFG/FDgNFjuPzAjan0IaAkLCW2YMrp+Xy1PpuKjLN5B1D74eoJNE5EiYclzFrVXjDcT5qH8EXiTO7wEaly0yWZe85qPtLgd3IZ0/KY0GJg9e29zMUinHGFCcWnYafv9VIXAYEUI/2IUiyktJXeKSIxCXah0N4wnHUosCZ5Zm8v9NNbIzhb1WmiW+eVsrL2wd5o7GfcysyuebiqWRbdDy1oYdHV++2FmofCfGLtxr50pw8Lis6n3j7q+N/qKhB66g4Ei8vTZpjgv0ScNdddx3vvvsuX/va18Yd+8EPfoCiKDz44IOH7OTSHBjDwShRScIblljW4mYoGGNmgY2abMsRzcoszzClZETKSsKg1x+REmkLNj3vNA/yo7Mr+PGrDYRiu7dQ7AYNPz67ksyPCQI/njm70sV/NnQn+4IAzDo167s9aFQiAgKKAr6IhC+S+N282+Lm/y0oYVWHh+ahYPJxhXY9vzivmqzj9Pc1xWnix2dX8D8vbGUgkKjQCgJcVJNFqdPIY2s78YRjx4yA6xgO8beP2liyY5AZ+VYyTVr+uboTq0GDWhR4fG0n9blW7jy3KlmBPlQUOowUOoycNiUDgLUdHr76zIYJ7ysAZt3BDwD1ecOEJZkcsxadZu+XjR5vmL+uaOO1hn5ikoIkKxQ7DHx5XjF//6idiCRj0Kr41mlTuPaJtTSNTh2/tLUfgGevn81DKzsmbJ3457pezrz8S5i730WJB8ccEbDP+i5qS/FBv9Y0aY4XBEWZyIEnzbFKvy9My1AQbziOw6ChNMNIpilx0W4fDvJW4wCvbO/HF45Tk2OhLsfCY2s78UckyjJM3HVB9RHNJVzZPsxtr2zDE45j06u5YGo2v3xrB/k2fXLgId+q48KaHKJxmXBcpsJlYlqulZITPP9UlhWWtw3x67ebksHgd11QzeUPr0Yejcjak1vOKuf2syvp90doGwrS54/iMmkpcRiOe6+05zZ10zESRqNKJHnY9Bq29HlZ1jyERiXwz2tmMuUYyNR0B6L84OWtbOz2IgrwtQUlfPu5zSgKZJq1ZBq1yUGca07K5zunTTmsUXA93jBff3ojXRMMsJyUZ+N3F9dgPUAbnhZ3gKXNbv65ugNPOM5pU5xcO6uAmfk2RHH8DFw4JvGbt5t4aVvfuNszTVoWV7p4bnMvNy8s46VtfTy+pouxFyBBgLsumMrfP2qftB3g3ktrmWNzE+58h0j/BtSWAoylF6JxViKmt1DTfII4PhtmPoY//elP3H333fT29jJ9+nTuu+8+5s6de7RPa7+RZYV+fwQFcJm0bO/3c/tr21myYxBFAVGAC2uy+ek5lRg0Kv7nha20DgcJxSRah0J80DpMscPATWdM4cEP22h2B3h4VQe3n11xxILC5xY5+PunZrBjMMBAIEK1y0xjv581Y4x/u7wRXtrax32X1VF0gou2sYiiwKmlGfz1ahPd3jAxSSbPquei2mxe3NI37v6CAIsrE7YLWWbdcVttm4yp2VZ+u7SZuKSgEgXiY/qmzizLJP8Yqb61DAXZOBoVVZFp5sPWYdSigEWX+DoNRONoR3v5Xtrax9XT8/Y5Y/VAyLXq+cX51dz6yjZ6x3iqVbpM3LKo/IDFW/twkFtf2cbLo5UxgMaBAE9v6OHp62ezYAKH3faREK819I+7Xa9RMRyKsaDYQbHDSIXLzDNPrmfP6oGiJFouRkKxSQWcWhTROivROitRZAlBPPEshtKk2RcOSMC53W7uuOMO3nnnHfr7+5Hl1CbZoaHJpoQOP08++SQ33XQTDz74IPPmzePee+/l3HPPpaGhgays48fkcac7wH839bKkaQBJhi/OLeTJ9V0sbXInm5dlBV7c0ocowHWzCmkdTmwp+CO7tyLbhkNs7vFRlmGk2R3k7R2DfHFu0RGtbhU7jSn5kHeeZ2BN5wjPbeohIimcU+ni1FLnJ0q8jSXXqifbrKXZHcQfkfjRonLaR0Js6PKm3O83F06lZhLLhROBKU4jd5xdxc/fbCA6tlfKZeJL84uPGS/AsbFnRq2KQCSOVaemzx8lLstoVSIalUi2RQuKkiJEDxd1uYlc1p1DQQb9UXKtekqcBlwHIfK39PpSxNsuPOE497zbzF9cJpym1OcfCcUmfb0alYg/KvH5WQWs7RwhHJ94uMIfiWM3THxpyjBqKbDvFvJp8Zbmk8wBCbhrr72WpqYmbrzxRrKzsxGOIaf03//+93z5y1/mhhtuAODBBx/k5Zdf5qGHHuKWW245yme3b7QOBfne81tStkS84Tgvb+snz6pPmt3uYmmTmwun7jZw3XPi651mN5fX59DsDhKRZGJHOZYq26LjgqnZLCrPRFIUjNoTshC8zzQNBvjX2k4eXd3JQCDKnEIbty+qIBqXeXpjD/l2PVfW59IwEOCL/9mIVafmymm5VLlMlLtOHEGnUYssqsikLMPIhh4vw4EoU7MtVLhMZFuOjeobgMO4u6LV4w1zcU02T25IHSqRZIVuT4Rp1VZs+kOXIuINxQjGJKx69bjPTa5Vf0h7XF/dPl687eKNhgG6veFxAs6kVSPAuMraLjJG84ztBg1nlmXy9gTGxI+t7eJXF0zl9+82pww96FQity6qIP8oWqKkSXMscUBXzvfee4/333+f6dOnH+rzOSii0Shr1qzh1ltvTd4miiKLFy/mww8/nPAxkUiESCQ1ykWn06HTHb3tqWXN7hTxphIFPJHEytYfkTDsEVqtQMoAgFGrmnTyrMhuwHaMxFLpNOnVc8dIiJtf3MqbY3yyVrSN8Kl/ruGhT0/nn5+bydZeH9c8voaNPb7kfR5Z3cHXFxTzvdOnnFgiTiVS4TJTcQy/popMEyatikBUosCux6RVUWDT0+kJIwpCsv9NEODyulwMmv3yS5+Q4WCUFW3D/GtdF+5glCkZJq6dVcD0POthq0zubV0uCMKEdyi065mRZ2Ndt2fcsWyzjhJnQnxNyTDxw7PK+GDnEJE9FpQZRg31ORb+dvUM3toxQOOAn6nZFs4qz6TyGH5fpElzpDmgb5bq6mpCoWPPGX1wcBBJksjOTo0Tys7Opre3d8LH3HXXXdhstpR/d91114T3PRL4I3He3JFqeinJCmatGqNGhSAkJhXHEopJKf1BBo2IVr37T3tWeQZbexPbcV9ZUHzC9U4dzzQO+FPE2y4UBX7+5g7ahwM8+GFrinjbxQMftrHDHRx3e5rDS4nDyJ3nVqNXi2SadDy0soMfnFnO4opM9OrE9HB5pom7LpjK5l4vvsh4a5T9IRCJ89DKDu54vYFt/X76/Qkx963/bmJps/vjn+AAuaB68li286pc5FvHf49Y9Rp+uKic8j2SH1wmLb+8oDqlejanwMbLX5rHxTXZWHQJEXzLWWX85erpVGVZqMmx8O3TpvB/V0zjG6eUMjXbcsKaeqdJcyAcUAXu/vvv55ZbbuGOO+6grq4OjSa1omO1Hj9ZdLfeeis33XRTym1Hs/omCuODp6uyTJRlmKjNsbCl14cggMusxReJE47JzC92UJGZuE+zO4BGJVJg0zMYiJJp0lKTbWHnUJCfn1fNqaXjG4/THD1Wto9MeqzFHaTfH+XJ9eM933bx1PruI5JzmWY3oihwWqmThz9zEl2eEK1DQR5Y3sbC8gyuqM9FIWFe+8q2PgrtBowHWWluGwnx5PqucbfLCvzxvRbqc6yHxV6lJtvM5fU5/HdT6uLXaVTzvTPKcBgn/p4syzDxv5fVsXMoSNdIGJdZS6nTOG6Qw27UcVaFjkqXgcFAHJUoUOk0oNMdGzsEadIc6xyQgLPb7Xi9Xs4666yU2xVFQRAEJEma5JGHl8zMTFQqFX19qRN8fX195OTkTPiYo71duidGrZpLanPYNFpxKbTpmVfk4MYn1/PDs8q5f3krDf0BFKLkWfXMyLPy24tqKMs0c/fFNSxrdvPytj4UYHFFJvOLHWjVIpfU5aQrb8cglr14dCV2qQT80ckrON6DrO6kOTBEMVFlK880oRZFvvv8Zla0DbOibTjlfjefWY5Jd3A9ntv7/ZP2lPX7o/T5I4dFwBU6jPz8vGrOrXLxzzWd+MJxTp+Swadm5DGzwL7XxyanpPchXbHAbuJjni5NmjQTcEDfLJ/73OfQaDQ88cQTx9QQg1arZdasWSxZsoTLLrsMAFmWWbJkCd/85jeP7sntB/OKHJyUb2Ndl4ezKlz8bmkz7mCMu5c285X5xTiNGrzhOJkmLScXO6jKTkQMFdoNfG5WARfXZCOjYDdMHHyd5thhfrED1WiW5Z4snJKBy6RhUblrnK/WLi6cmq6+HW2m51n41imlPLiiNdl0rxYFbpxbxKyCgw9wVX/MtuHh3FUscRopcRo5rzqbSEwi26xDrf74zhtJTkR5HSvXhjRpTkQOSMBt3ryZdevWUVVVdajP56C56aabuP7665k9ezZz587l3nvvJRAIJKdSjwdyrXruPLeKtZ0ehkNRAtE4OVYdJq2KZzf1IJDYZo1KClUT2EocqO9TmiNPZaaJX11QzS0vb0WSE/mwiqKQZ9Vz2+IKXGYdN50xhbebBgjGUpu963MtzC60H50TT5PErNPw6dF4q5ahIIoCUzKMFNkN6A9i+1SSFTpGQrhMWkIxCUEQqHaZqMoyIyuwdbSdIvcITOjuisWbDFmWkRTo9oZZ0TbM0iY3Vr2aS+tyqMk2pxeTadIcBg5IwM2ePZuOjo5jUsB9+tOfZmBggDvuuIPe3l5mzJjBa6+9Nm6w4Vgn16rnwho977W4KXYYUlayCiR9siYLiU5zfGA1aPnsjDxqsy08vbGbfl+EucUO6nOs/OClrfzPwjLOqcjkpRvn8YdlLSzZMYBJq+bTM/K4cV4R9bnHT7/piYxOrTqk07ORuMQbjQPcs7SZikwTn5qeh0Wnpm0kxOsN/agEkXOqXFxSm3PI81b3h86RIBu6fTyzsYtzq7P53/da8IXjSeH6dtMgV03L5WsLSo6Z6fc0aU4UDihK66mnnuKnP/0pN998M/X19eOGGPYMu09z4DQPBrj+3+tS8jJ3oVOJPPLZk8ZNfKU5vmjo93HJQys5tcSJy6xjVccIH40ON2SZdbzy5blUZ1no9gQZ8McQhETlTv8J9887kVnf5eGrT29g1/rs9sWV3L20iS29id5Yk1aF3aBh+mgP7NHwRuscCfLLJU38c3UnZ5ZloFYLvLilD51apNRpxDCm+nj/ldOYk64Wp0lzSDmgK8CnP/1pAL74xS8mbxME4agPMZyIFNkNfHFuEQ8sbx137Po5hRTZjx2D0zQHRocnTJcnwpMbesYd6/dHaB8OUZ1lIc9mJO/gW6rSHOPIssLzm3uRlUQY/WdPymNdl4fOkTCZpkTOqlmrRiUKNA4E+LB1mKumH3kBt6nHxz9XdwJwSqmTX7zVCEAkLjMYiFJg0yd3Dt5q7E8LuDRpDjEHJOB27tx5qM8jzSRo1CJX1udSYDPw6Op2er0Rciw6rp1dyIJiB9pjJF4ozYETnSRSaBdj3ejTnPhEJJnW4SACcN3sQgAeW9NKpyfhvalTixQ7jJi0ic/+y9v6uGBq1hFPNHl64+4Fh1oUUgx5R0IxXCYdek1CwAUi+7aoj8Ylmt1BPmwdps8fYUa+jfocy2HNkk2T5njlgD7xxcXFh/o80uwFm0HDOVUu5hTaCcTimDTqlDifNMc3+Tb9uHSNXeg14l5D3ENRiS5viGhcwWHUHNIopTRHB51KpNJlQi0KrO/2YtGmLtKikkKXJ0SJw4hWLaIA+9oI0+0JsanXx8r2YewGDWdMyaQs04jpAMRfYIy9zdY+H/OLHHw4aqOS2PrdfVJnlGd+7PPF4jKvNw7wy7d2JHt7n93UQ45Fx+8urkUtQrM7SFRSmJJhpNhuOGiLljRpjmf2+d3/wgsvcP7556PRaHjhhRf2et9LLrnkoE8szXgcRg0O0sLtRKMiw8j3Tp/Cr5Y0jTv2rVNLqcg0Tvi4HQN+HljeyvLWISQlEVX0pflFLKrIxJI2Qz1uEUWBi2pyWN46xO2vbqfSZeL0sgxaR7cr1aKAJEM4LqNVi1xQnb1PQmanO8APXtpG6/Du9I5/ru7km6eUcuX03P0WcRdOzeal0bD7V7cPcPviCtZ0eohKMhadGrUqYTdSnWWmLscy6fOEYhK+cJzBQJRfjRFvu+j2hvnVkh3kWnUs2ZHIThUFuLI+lxvnFZPxMROyadKcqOzzJ/ayyy6jt7eXrKyspMfaRKR74NIcD3R7wgwEIoiCQK5FT6b56F0EjDoNX5hbSIHdwP3Ld9LiDlLiNPKNk0tZXJmJaVSMNfT72NrnZ3XHCIV2Ayatij5fhF07rH3+CL98awfqUQGQ5vil2mXGHYgSkxQ2dPv4zIx83rG76fGGk75vEUmmLMPEySWOj32+qCTxyKoOWoeDSLJCRJLxR+IoCvz67R3U5lqYtZ9uunOL7NTnWtjU48MXifOP1R387uIantvcy1Awisus44LqLC6rz52wMhyJS2zs8fH42k4GA1Gm5VgYCsYwalUp3nfhmMx/N/VwzyW1SQEnK/DUxh7KM81cMS13v847TZoThX0WcLIsT/jfadIcT4SiEkubB/m/D3bS748CUOo08v2FZcwusCMepazFPKuB62YXsrAsk0A0jlGjoti5u/K2qdvDF/+zgXVdHlSCgMusZSAQ5efnVSEI0DAQSN73byvamVvoOKr2EmkODo1apMhhoDrLhDci8fjaTn60uILNPT6WtbhRCQJfmFvIJbU5+9Qf1uOJsKRpEElWGAxEGQrGkseGgjGeWt9Nkd2Aaz/SWqqyLDz06Rn8Y3UnT23optMTZmX7ML+9qAanQYNGJZJt0U36mXqnyc1PXt+OrEC+VU+fP0qXJ4zTqGF+sZ2T8m1oVSrWdo3Q7Q0jT7BP/EGrmzPKMnAaNWnT4DSfOPbbRkSWZR555BGeffZZWltbEQSBKVOmcOWVV3LttdemP0RpjmmWtw7x3ec2j4smMmhE/nL1dKqzJt/qOVqMhKJ857ktPL42sYVm0KjQqkSGQzE0KoE/XV7Pn1e0pTzmic/NPGSeZGmODrG4zD3LmnlmzLBAWYaRKpcZg0bkutmF5O2jfUjzYIDPPLYGfyROx0h43PGrpuVw5bQ8Lq7d/8ptPC6zczhIXFbIteix70N/bp8vzG2vbGdjjxcArUrg87MKuf3V7fzwzHK6vSFe2z5AOC4xLc/GZbXZIAjJafwCm55L63LY0OVlJByjyG7g0rocqrMsGLXpwa40nwz2q+lBURQuueQSXnnlFaZPn059fT2KorBt2za+8IUv8Oyzz/Lcc88dplNNcyLgj8RpHw7hicSw6NQU2Q1Y9UemX8sfifPoqo4JcyVDMZnXtvdT5TIfc4uQFneQp8dYjMiygnp0ui8mKewYDJBt0dHniwCJKUWN6uPjjtIc22jUIp+e5aIyV82W7iAfNHtpdgeJxGXuPLd6n8UbgN2gocRh5P2d7gmPT8uz8eS6LuYVTVy5DcckvJE4BrUKiz71shGMS/ijcd5pchOKSZxS6mRqlpnsCRIiuj1htvb5+GDnEE6jhm+cUsL7LUNs6PHiDcf46TmVPLyqg219flSjlbs3Gvppcfu599J6vjK/CJ1KRK9R8e3/biauKBTZDWzu9fHq9n5uOqOMy+tz0KWn89N8AtgvAffII4+wbNkylixZwplnnply7O233+ayyy7jH//4B9ddd90hPck0kzMYiNDQH+DdlkFUgsDC8kwqM004jJP3dCmKQrc3TCQmY9SqyDlCk4sdwyHuWdbM8p1DKCQ8rmYV2PjhWRWUjG4X7ooP8oRjGDQqCu2GFEPQg8ETjtHsDkx6fFOPj0hcPqj4o8NBJC4TGdNXGpFkMjUiAok5P3cginHMOZ9blbXXydVjkX5/hJFQDI0okmfTfeIvwMORIO/2tvBY0xp6Q15cOgs3LppFlTmfbKNxQnG0NzJMWr52cjHvtgyOO1aeaUwsxAf8dHrCCALJrdRYXGZTr5d/r+ti+4Afh0HDZ08qYF6RHYdRiycU46GV7Tyxriv5fM9t7qUux8LPz6tO2d4dO0QRjEq0DYcQBfjBWeVAIrXh2lmFdIyEkn1+WpVAod1Iry/Kb97eQaZJR75Nz4dtQ+g0InaNKin0FOB/32thZoGNynT1Oc0ngP0ScP/617+47bbbxok3gLPOOotbbrmFxx9/PC3gjhC93jB3vd3E8tah5G1WnYZwTMYTTjQDF9n1VLp2bwv2+yO8sLmX/2zoZjgUI9ui47pZBSyudOHci+jbE0WRifs6kYJ9CAioTLmoLfmT3t8XjnP30qakzQAkvnBXd3r4+RuN/O6SGuKywn/Wd/PUxm4CUQlZUTi52Mm1swswa9UUOQyYD8I2QK8WcRg0eMLxCY9nW3Roj8HKlc2godRpZOfQ7unB4WCMHKuOXm+EmhwLL2zpBRLN79fPLjymK3AjwRhd3jAxScZuUNMxEuIPy1roGAmjUQmcWZbJl+YVU5ox8fTt8Y43lFhINA8FUQkCUzKMVGaYMIy+t8NSjH82reGx5jXJx3SFRrh7yxK+Vn0y17lmHdDPPbnYyZ+umMbd7zSxtc+PQSNydqWLU0qc/OzNRmYX2nl8bQd9vig/P7+KUqeJ91uHuPWVbcnJ0B5vhB+/tp1PT8/jaycXs7XflyLedrG518eLW/v42oJiBEEgEpf420ftyQlYjUpAoxKISQq/fbuJP15ex4etwzy/uRdBECjNMCIIAiLQ4w0TiEosbx3mx2dXotOIfPTeCJkm7bjvrLissL3fnxZwaT4R7NfVcOPGjfz2t7+d9Pj555/PH//4x4M+qTT7xrIWd4p4++k5lbywpY/vvrAZURBQCQJFDgP3XV7HmWUZBGMS93/Qysvb+pKP6fNFuHtpM+5gjC/NLUKj/vgLvxwNEGp7A8+GB1CiiR4WUe/EPusm9AVnIKjGb4m2jwRZMUa8jWVjr5deX5g3Ggd5bE2izysQlej2hGnoD7C2y8PFNVl4whLfOa30gCuGGSYdnzkpn1+/Pd6uA+DyupyjNsSwN2qyLdxyVjlffXpj8rZgLFGRW1iewYw8K3q1yLRcKxUu035XZ44kG7o9/G5pM9v7/QBoRIGLarMpshvpGAkTkxTeaBygYSDAHy+r3a9twuOBXm+Yh1Z28Lt3m4jGE6LIqBX52bnVfGpGLk6jjjb/MP9uWTfh4x/dsYqFuWVMsWTs9882aFXMKbBx9fQ8bHo1MVnhtW393PbqdkQBrpqWy99XthOJy/z+3RZuPauc/13WMmHe8n82dHPFtBye39Q76c97YUsvl9XlkGvV0+UJs7R5d/Vv14BDlyeMIEJ5hpGZ+TYe+qgdh0GDQGLBFYxKBGMyKkHApE1snWpUAjq1SCAiEZeUlIlVgHA87YKQ5pPBfi3Th4aG9hoKn52dzfDwxBfpNIeW4WCUZzft7otaVO5kZccIf1/ZjiQrSLKCgkL7cIjrnljHpl4f7SNhXhkj3sbyxNpO2ked3j+O6OAGRlb9NineAOTwEEMf/pTo0LYJH+MJxSfsPduFLyzx5LouInGZUEyicyREfPTCsaHbS4ZJyzvNg/xrXdeEF5R95YwpGVxSm83Yr3y1KPCd06ZQk33sDTDs4pwqFw9cMY1iR0LQaFUCl9bmcO+ldZxV4eL/nVLKqVMyjmnx1uwOcNPzW5LiLS4lqiW/equJ0gwjzjHN723DQTb3+o/WqR42Pmwb5ldLdiTFG0AwKnPzS1tZ35X4PHUHvcSViSf9Q1KMvqDvgH9+SYaJC6ZmsanHx58+2Mk7zW5qss385sKpvLVjIJm5/FHbMJ0jYbq84wceIFE9bx8OT1rNTrwuKfkZjssK0T0SRcxaNcUOA69/aT6PrOrktPs/IN9uYMdggCZ3EF84jiCA06gh06zlyml5dHtDROMy2WYdkqIQl2VQEmkmgahEMCoxxZnOhk7zyWC/KnCSJKFWT/4QlUpFPD75BzrNoSMqKQSiu1eaC8tc3PCf9cn/Hztb7AnHWdE2zLRc66QiKhyX6fdFKMvY+5efFA3g3/YYTPRMcpxg03NoM2oQxNT3yZ6Nz2M5vdTJUCjK9gE/sgwWnZqoJKMSBYRRqdUxEsaqU/P8ll6uqM9NsdjYHzLNOr572hQur8tlS58PnVpkapaFYocevebYdXUvtBv58oJiTp3iZDgUQ68WCcckHlnZgYLChTXZ1OdaydoPG4gjzYrWYbyR3d8PcWX3Rf2x1Z1cUpvNC1t3LzDWdo5wTpXriJ/n4WLAH+HPH7ZNeExR4JFVHcwvtqMR997/pxYPbnu8NsfKry+cyprOXLYPBOjxhPnPhu4UMaaQGE7YG4GYxGlTnKzuHJnweF2OBachIcrtBg1ZZh2NA35CMRmdWsCoVfPtU0p4fksvD6/qQBBgx0CAi2uyeXFrX+L7TUi0feRadMwtsjMcjNE+EuKGuUX87M0GJEVhKBRlMBBFkuGyumxe3tbHcCjGwikZ+7SjkCbN8cp+T6F+4QtfQKeb+CIRiUQOyUml+XicRg0n5dt4dXvCCV0UBQZGfc0S/09S/AA09Ac4fcret130+/Blp8R8xLwdkx6PjTSjxEMI2tRqVoHNQH2OlU293pTbyzKMZJp1ye0zrUokIsnEZQVZAY0q8ToyjBokRWFWgQ1fJM6gP3rA5rsWvYa6XA11udYDevzRZGq2hW5PmDte386G7t2/y/d2DjGvyM7tZ1eRc4z6v63t8qT8vwAIQkK8NAz4cZmLUo6faHFxvkicjj2q3LKiICsKigI7h4L0+aIUmxxYNDp8sfHfp5k6E3lG20Gfi0mnRqdR8dcVEwtKrUrAZdJS7DDQNjy+Mi8KMMVpxKBR8c81CSPesahFgRvmFiUTItyBKOdVu3i3efcUrCBEqcuzcutrDez6qnp4dTtfnlfMX6+exktb+xkJRbnmpHyyzDp+9Mp2+vwRbltUQY8nxANXTOO1hn7ebhqk2GHkymm5GDQiT23o4dXt/fz5qmlMzzv431WaNMcq+7U8uf7668nKysJms034LysrKz3AcITQqEQ+PSMfgybxJ4zLSsqFW7WHFUZVlgmbTo11kiGAApue/H3oNxI1JlTGrEmPqyz5CKrx23gOo4YfnV1B1R7NxedXZ/Hy1j6a3QFOKXEQl2V0ow34uy5sDoOGHIuez88sYMdAkG/9dxNffXoD/17XlbTO+CTxTvNginjbxUftI3w0SZ/hscCek7FalZB8P7rMupSKsgCcWrr/fV7HMg6DmqrM3RVuSVaIji5WJEWh0mXi1e19hENqbqlfhFpI/XrWiSpumX4W+aZDI0pKnUYqXRNX3C+qyaEi08T3zihLfh7Hcv2cQoocBkqcRv73sjrOLM9M9qLVZFv4w6W1TB9dIA0Fovz8zUYa+gP84vwqpowOp2hVInFJYSQYSy41FQX+vrKd6GgrRaHDwKZeLz97s5GBUZH495XtVLjMlDgMzMy38c1TSrlgaharO0Z4atRuR5IVnt3YQ1xKm86nOXHZbyPfNMcOsqywscfLgx+2YtOpMOk0/GI0SkkcI+AcRjWv3DiP2hwry1rc3P7qdiJjvtjMOhV3X1TL7EL7Pv3cYPsSht//0QRHBDLPug9dzuxJHzvoj9A+EmIgECXDqCUmy3z7v5vRqUW+PL+Ye99tYTgUo9cXJi4rZBi1/P7SGqJxhZte2IJNr8Fl0iZX7AvLMrh1UcV+TdAezwwHo3zt6Y20jJlIHUttjoU/XVF/QOHkh5tNPV6+9J/1jG1hjMRlujxhbphTSPtIkJ1DCQuJm84o49LanGPO0uVgebNxgCseWZUUb7vQqgSeu2Eud76+nZkFDn55fiXt4SFe62yg2TtItT2L8/NrkaNaur0RdCqBApuBQrvhoAZvWtwBfre0mdUdIyij53Hh1Gy+OK+IHIseSVbY1ufjv5t72dLrxWXWcfW0PKbnWbEZdldIwzGJHl8EWVbIMGmxjzm2scfLjU+uBxJ5vaeWOsm26HCZteRa9Zz7lxUMh3aLuFyrjqum5fG/7+2k2GEg06RN9sbKioIoCPz+kloaBvz8dUU7XZ4wOrVIscOQtBQBqHSZeODKaUfMZzJNmiPNsfctn2af6fNHkBSF62YXYtGpMWlERkIxHlndkWySnpJh4I+X1VM/upVw2pQM/v7pGSxvHaLFHaQmx8LcQjtlmfve+KvPno2l/kv4tjwKciKSR1Dpsc38FpqM2r0+NtOsI3NMn9amUSf2SFzmoY/aE5YhOjW+cAxJSaQOuAMx/rGmE7NWnbgwjLleLW128+kZ+Z8YAReXlWSj+URE4jJx6dhck1W6TNxyVgW/W9qU7H3Tq0V+tKiM86Zms7p9hJisML/YSVmG4YQTb50jITIMGu69tJY732ig3x9FkhUKbAZ+eUE177W4icqwsmOYXn+MOlcudY5cJFlmJBTjH6s7+c+G7uRggFWn5pZFFZxZlpEMjt9fpmSY+O1FNXSMhAhEJeyGhLm2dtSHTyUK1OVaqc4y448mjHx1E/xd9BoVpZP0pUZiuyurff4ILe4AFr2an7zWwJXTcvjSvCJ++04zANPzLPzwzArCcYnyTCNalYg8OqwwFIwRjktoxIRRtdOgYVqehWKHgehotutY8m2HzkMyTZpjkXQF7jhElhU+bBvmrrd3JLcQTVoVX5xTxHnVLjo9YXp8EYwaFUV2w36Js4l+Vo8vTFxSsBnU2A0JoSTHw0j+TmLedgRBRG0pQm0pnNBCZG8MBaL8v2c30uzeXVHSqUQK7XrmFzuZU2QH4KtPb0SrSq0s7uLGuYV87eTSA36NxxNxSeaed5t5eky80lhunFvEV0e9t45FYnGZ1uEg2/v9qEUBm0HD202DtA4Fqcg0ceHUbKqyzMe0j92BsK3Px80vbaXPF+GUYjvnVGcTjkkYtWrUQiKYfWyP4MOfnpHSo/nMxu4J7W/UosDfPjWD2pxjd4K6xR3ghn+vJxiTsBs0XF6Xww9f3pYctHrra/P564p2wnGJy+ty+flbjXxhdiG3vbIdtUogz6rHE4rhicSJSTKzC2ycXOLkrIpMOkfCvLa9nzyrnjlFdj7YmUh1EID/u6KeuUWOo/ra06Q5nKQrcMchjYN+fvjy1pRKTCAqcd8HO8m26Di3evIetf2hcyTEMxt7eHFrL/5InKosCzfMKcRuULOsZQitSs2CklmJZuYD3KZwmrT88KwKvv/CluSEYkSS2TkU5HOzCphTaKfFHcSgFiedoNV+glz71SqRy+pyebNxYJyFQ4ZRy9mVrmNWvHnDMVrcQYIxibIME+F4nP/37OakLcyGbi/Pbe7l5+dVs6gi85h9HfvLcDDGr99uSi62Pmgb4fXGQTpGwmQYNfzwrPIU8ZZh1KYMcAz4I8kc3D2JywpvNPQfEwIuLsl0jITpD0TQiAIFNj1ZFj1FdgPXzMznbx+1c2qJk0dXdybFm1mn4lvPbOLH51Zi12u5+KGPiEoKz2zs5pZF5fzirUaa3QHKMkz4onFyzDq+OK8YUYCv/GcjJp2KUExiJBTnsbWd3La4AkVQOLcyi7qc429IKU2a/SEt4I5D3mocnHQb7ZFV7cwpsh/0lmK/L8IdrzcktzghcYG95vE1/GhxJa9s68cdjPL3le189qR8vji3MFmd219Oyrfxl6uns7x1iPXdXortBs6qyKTSZUKjEsm16KjPtSaDr8ciAHP2sXfvRKEqy8x9l9fz2JpOPhg1cj5jSgafm1VwUNXWw8nWXh+/faeJF7b2Eo0rOI0avjK/mP85fQq/XdqcvF9cVvjtO01UZ5lTYpiOZ7o8Ibb2pXq36dQq9BoRdzCGrCQqabu2Rm+cV5QyUBSKSfT7Uqc8x9I0GECWlaNqQu0Jxfjv5l4eWdWeHEbJt+q5ZVEF84rsXD09D6teQ0yS2dLrQxTBrtckvP9EgVZ3kA/bugjFZLQqkfXdPvRqFX+4pI51XR4kWeGk/BIMGhV9vjBvNAwwFIpi0hlwmXU4jFqicZnHV3fyz8/NpDbbkrYQSXPCkxZwxxmyrLClN/ViIMkKsdGeotbhEP5I/KAFXMOAP0W8QcIGwRuWeOijdq6YlstzmxMu7P9a18WcQjunfYxNyd4oyzRRlmni2gmOWQ0avn1aKd97fgu+PfpcrptdSKnzxLjQ7w9Tsy3ccU5l0jom26I7Zrcd24YCfOPZjazq2F1lGghE+ekbDfx4cSXnV7l4tWEgeWw4FKPLEz5hBFxoAj81jUog36rHHYzij8bRqUVcejU3zi3izPLMlPuatGpyrTpaJ7DzgMR74UiLt7ahIO0jIfr9ERwGDXa9hqc3dqVMEnd5w/zwpa389erpVGaZ+exJ+TT0+6nNsRCOS4iCQEySCcfjZFv1rO32MrbouqJ9hA/bh6l0mZhb6KA2x8zbTW5OK3Xy0MoO1KKIKAioxcS/XTZILUNBZuSn7UPSnPikBdxxhigmshNXd46AkjDT7PdHCMcSFbmabDPuYJR8W+pE1r7ii8ToHA7xZuMA7mAUvVqFbvSLcTiUEAsNAwFcZh0mrQqVIOCNxHlmYw/zix0TiohwVKJt9MtepxYpsBnI28+w9el5Nh68ahpvNQ6wqmOEDKOWK+pzqc2xYNZ9MqfMdGrVcSFyGgcDKeJtLH/6YCf//NzMFAEHHFTaxrGG06BFpxbHVc21apEci56FZZlcUZ+LVaeeMCYuw6Tl+jlF3PlGw7hjOrXI4srMcbcfTjb3ePn+i1t4a0ciGkslCNTkmLnn4lr++N7OlPSGYEzivZ1uKrMS9kFlGUYurcvmyXXddI9mnAIM+qO4jFo6JhCpg4EoC8szeK9liCU7Btne7+eGOYUEYxKvbusfd/9AJG0mn+aTQVrAHYecV53FM5t68EfidI6EUmwZLq3L4Rdv7OCn51VRv59GtYlemy4eX9vB3EIH7aNfptkWHU6jll2uBxadirIMI+dVZxGXFQpsegYDUWKSPE7ADfojPLSyg/9u7kluEWWZtfz47CrmFdn3q8+p0mWmItPEDXEZjSgc8ORdmiPL1gkisXb91YdCsWT1eBd6tUiO9dg0Iz4QiuwGrpqWN2Ef27xiO1UuE46PqZifVurkq/OLeXR1B+FRIegyabltcQWVmUcuuL3XG+YnrzckxRskzJg3dPv49nOb+fWFU7nzjcaUx2zs2b1joFaJfGZGPm82DKQMLj28qp1vnFLKqmd25/3usjW59axK7lnaQtNggLis0OMN88q2fhZXZnLV9Fxe2JIaDzj1GI7ES5PmUJIWcMchVS4Tdyyu5KYXNifFm0oU+MyMPADaPSGeXN9FVZYJrWrfG/zXd3m4/dXtCAJ8YU5R0iW/1xfBolUnK3FnVWTytxVtvLg1sfoVBPjWqSWERqfqxvLS1j6e2tidclu/P8otL2/lb5+aTvl+XnwEQThmrAHCMYlIXMaiUx/V/qNjmVBMIteqI9OkAQSCsURepVGjwqRVIckKBo3ABVOzKHYYCcUkpjiNWHTHxt/4UKBRi3x+ZsJ0+z/ru/FGElum51S6+OLcoo8VbwA2g4brZxdyZnkmff7EkED+BJXsne4AwZiEy6Ql6zDk4rYOh3hha2qAvUJCkG/t8yPJoBZhbLGxLCPVXiQSk7mkNofL63PZ2O3FolMzLc/KFKeRL80t4s9j0iHOrsjiw7YhwnEJg0ZFREp4weXZdLzTNMgF1Vkp1c35xY6kUXCaNCc6aQF3HKJVq1hQ4uD2syvxhuOE4zIOg4a1XZ5kX9rmHh9DgRgus7hPW6n+SIyHViYishQF3tjezzdPLuWPH+xEUaDHFybHosdmUHNyiZMfvbo9+VhRgBe39nNKSQYX1mQnb+/2hPn3+q5Jfl6cd5uHWNE6zI7BALMK7czIs1LkOPa/fIeDUdZ1eXlqQzcj4RizC+xcODWLqizzhBXFAX+E7f1+3t4xiCgKnFWeSXWWmQzTie1d1z4c5E8ftDLFacQTjuOPJoRFvk3PSChGKC5xXmUWNr2WdZ0e/vR+KxkmLSatiqnZZn56ThUVriNXXTqcZJp1fHleMedXZ+GLSBg0IoV2w371LWrUYrJXdE+aB/0s2THIXz5qp88bYWa+jW+dVsLsAht246GrZo6EYuxpPCXLCqrRIYxebxibXos7mGi3UIsCiypS82w9kRhPrOvCpFUl3gvhGB+0DvH1k0uodpl5+cZ5rOkcQSWKnFHm5Non1qIgkG/TISmJ7xsU0Igiqzs8VLpMtA+HuKwulyum5X5iPCHTpEkLuOMUvVrFey1DbOj2IAi7J9gAwrFEPM8zG3vo8oa5rC6HmmwL5klitAD8EYnOMTmNS5rcqFUCf7iklhVtwwRjEpfV5WDUqLj5xa34I3F0KhGTTk2WWYteLfLvdV2cWupMOrQHYxLuYGzcz1IUBU84zrvNgwiCwNY+H69s7yfLrOXeS+swaFRs6vWxsm0Yp0nDGWWZlGeYMGqPflXGG47xlxVtKT5sTYMBXtzayx8uqeWkAnvK/ft8EX75ViMfjom4emFLLwvLMrj5zPJjOnz+YBgORvnFWztY1+Vhh1XPr86fyo9f24ZGFGgdDqIoUJ5h5IvzCrn91W00DgQotBtQqxICuHEgwE9eb+CPl9eRaToxfkeiKByWBUrHcJBfv9PMwyvbk7e9vD3Ma439PH7NTK6annfIfpbTqEElCik9igqJTEaVKJBj1eMJJ8SbSavi1kUVVO4hOK06DQIJ66PGgQCQiPJrHAhw3/s7KXEYmFNkR5IV7Ho1g4HEd4hZq9oteAWw6tVkW3R867RSFEUh16JPV8LTfKJIC7jjFINWxdXT8xL+UWOWxMGoRMdIiM/PKuD5Lb0Mh2K82TjAN08p5VPT8zBMIoIcBjV1ORa29/u5rC6H+lwrMUlBlhUK7QZ0aoFCm56fvbmDuKJQaDOwqDKTeYV24kpiqm7AHyUUk5ICzqARcRo1DI2KuHyrnjMrMtGqBIJRmQqXkSVjemncwRhb+/w8tLKNbu/ujNN/ru7k26dN4cr63EnP/0jR4g6miLddkUiBqMQ97zbzx8vqcY6prL3X4k4Rb7tY2uzmjLJMLhpTsTyRaB0OsW7U26zDG+atxn4e/exMNvR46fKEqHSZiUsyvb4IH7Qmfj8mnRr1mJiNHYMB2odDJ4yAO1y0DodSxNsuJFnhJ69vpz7XQlXWoekLK3EYuHJaLv9Zn9oWISkKM/NtlGca+d3FtahEAQFwGLTEFYWxY0ZFDgPzix0pn4tMk5ZmdwCdOpGysHl00j7TpOWUUidLm9xMNNdyXrWLvAkGP9Kk+SSQFnDHMTMLbFxZn8szmxKCIi4r9PoiXFSTjaIoDId2V78eWL6TeUV2qrLMdI6EGA7H0atE8m16TDo1Oo2aL8wpZFqelSfWdvHwqg4UJVE1uHBqFrcvrqBpMMDsQjvtIyG+OLeI7f0+fvDyNmKSgiDAGWUZXFmfk5yky7cZ+MyMfO5f3kqly8TJJU7uWdpMtzeCrChUuUxcXp/L6VOcLGsZYnaBjSfWddIyFEpaAkBihf/H91qYkWdNcac/GowNiw/HZHp9YUKjE8CdnhCfm1lIpctI23AYQVB4fG0nUUlGkpXkxJ1Rk5jsfXZjN2eWZxyTuaUHS8+YSUSAdk+Ybm+YB5e3YtWpWd0xwpxCO1UuM2dXuHhvp5twTEr5uwMTVnDTpLKyffwCYRcNAwH6fFGqDo23N1kWPbcvqiAmyTy3uTe5djylxMHvL6kjx6xjabObpzZ0E4hKqESB00qdfOOUUkpGo7bMOjX/s7CM37zdxKqOESBhHVPlMrOt35+swiZe2whfWVDMxm4vexbX5hba0wMLaT7RnHhXjk8QTqOW/3dKCedPzWJl+wiBaByrTkPToD8p6nYhKbCu28vmXh9/XtHGSCiGKMCcQgffOa2UCpeZQruBX761gzWduy0ftCqB9V1e7l3WQkxSWFieybRcCzsG/Dy7qRfVaM+XoiSqU3e83sj/XlZL9mgD9UU12fT7I+Ra9Xznuc3EJAW1KOAy6+j0hHllax+/vHAq1VmJTMNv/XcT2gkMOBXgg9ahoy7gpNErVlSS6fSEUiYoZRnahoO80zxIrzdMWaaJXl+EPl8EbzieEgNm06vxjkYDnYjYJ0jmkGSFoWCM6iwzn5qRx2vb+vnf93eiFgVuX1zJ+m4P7cMhHEYNnnCckVCMDOMn0yJmf9B+TB+dRnVotxVrcqz88dJ6vnd6GcPBGBZdIrKvwG7ggeWt/GPN7mlbSVZY2uym3xfhnktqkznIxQ4jv75gKm0jIUZCMSw6NSpR4N1mN5Exn4mIJPP0hm4e/ewMPmwdZmX7CHqNyBX1uZw+JeOEbUFIk2ZfSAu44xyrXsP0PBvT82xs7/fzhX+tJTIqKtR7LFkH/BFe297PyGhlTlbgo/Zhbn4xxJ+urKfHG6HHF6E800R09EtUURJO8k9v7OHXF07l4Y/a+dn5VXzmsbXJzS61KJBl0WLQiDS7A7QMBZMCzmXW8Z3TSvnNO81kW3SIQmJrpcsbZna+jYXlmdz45HpkBf7njDI6RkYNXBUJQRDQjMk/HQkd/WrM3CIHD6/qIByTx9lf1Oda2Nzr5blNvdy6uIJtfT4WFDtY1TGCKAhoVCCM/tY84Tj1uVasJ6iHXYnTQJZZS/+o0bCiKIRiEguK7Swsy+B7z29GUQSsejXBqMTmXi/3XzGNFneA7f1+ZuTZmJJhpPg48Lk72swtsiMKic+zShQSKQQqgcaBANVZZnIsh17k5Nr05O4xAdviDoybON/F1n4/LUPBpICDhEF3vWH3+1+SFX5xQTW/eLMxGROnEmBBiYP6HCunlWYwHIqhFsWUqLE0aT6ppAXccUzXSIihUAzt6FaogIJKFGkb9CEgYNOrsejVaFUiUUkmw6jFHdjt3D8jz4paFNnpDtDQn7AfgIQ5qE4tEpMUWoeDxGQFSVaISwpb+/00u4OYtWoMJhGtSkSjElKm6bpGwlC8+zwFBNqHQ1hGhyjikoJBLXJ5fS7fe2EzAgLZFh2gML/Yzsp2D5KSqNRZdGoyTQkj1Dn/v737Dm+rPBs//j3a2/KW98hy9k4IhLATZqFQKIVSUiiraQuFllEoq7TMlrdAX0b7QinlV3bZKxA2gZC9h+N47yXZ2tI5vz+UKHHsBFqSOHLuz3X5uqLzHB09R3bk28+476LBL0w9LNPO3JHZPL181921GiaDjvnTi7nvg0q6QzEMOgWTTsf04nRcljp8oRiapiQzzadbjYzJddITjiXXDA4l+WlW7jhxNNe/uZ4mX5h2f4R/LK3n9ydV8JPnVxFTQado9IRjjMiyc9msEi57YRUGnY5GXwirUc/wLBt5LjPHDM/++hc8hJVl2Lht7iiWN/iYXZbB8gYvoVicsybkcfSwLMoy7ayo7+ajrR18XtNFQZqFM8fnMTrHTpZj360f6w5Gk8sJBrKtM7DX4vJ6ncJR5ZkMO3cydd1BQlGV/DQzxW5rMj1Rtoy4CZEkAVwK6glFeWdTG3/7soaOQBQFuOG4Eby4uolzJubz27c3omoarb0RvKEYBWkWjh+RhcWo4yeziil0WVlW7+X19S2EYiozS9zEVLXfdJWmJQI3o06HQafhshgozbBi1uvwhaJE43qK0/uPkGQ7+m7jN+p1lGbYkrVMDXqFEyuy+biqE1VLJG5NsyQCtZMrcvlkWyegoFPAF4oRjMY5dlgWo3MHP6VEus3IlXPKGZFt55HPa+gMRBiX52TuyBwe/7IGXzjxfusVhbIsG2+sa+LuU8bw3MoGvqjtRq8oHDUskzPH5/HGhhbmlGcyVIv+TC5M48EzxvPB1nZqu4MUuCzENW37QnUFVdUw6XWcPs7D/35eTWcgSmGalSK3lUhcpbI9wBUvrOHVi2cwcoikE9kfcpwWzptaSFSt4/aFm4mqKnajgTVNPWxt9xNXNb735Fe09O6sp/rQZ9t48IzxnDMpj4x9lGbEatSzPcPHgL5Jeg9FUShyJ34GhBB7JwFcCvpwawd3f1CZfDwy2857W9p4fUMLBh386fSxPL+qkfXNvWTajFw8sxgUhR8/u5KfHl7Kv5Y1Ut0VoCMQJa5qVLb7WVrXzT/OnUyBy5IshaPTKZj0iSSZc8oz2dYZwGrUs7Gtl6OGZbKmqadf37LsJoZl9k0boNMpnDYmlzfWN7Nj1jHLbuaL9m7MBh15LjPfGevhr1/U4rIYuOvkMTy5tJatHQFsRj0nj87mslml5B0ku81yHGaOHZZFVYef3nCcynY/N7y5gXBMJRJXOWFkFpPyXby9qRWLycBNb23gtO2JS/U6hQ0tvTz2RTVHlGWSZhna/wUbe0L8c1k9dpOBD8PtXDC1iA5/BIfZgM2ox2rU4XGa2dDSi6ppRFWVDv/OqfJ6b4iazqAEcF+jyRfitfUtlGZYk3nZFEUh02bi9oWb8Yb61mPVNLj61bVMLUwjo3jfBHBFbivTitzJjQm7cpkN/dKJCCG+HalFlEKC0TjrW3p44JMq/JF4cgH86FwnH1Z2EItrfFbdxVNL65mU7+KqOWWcMCqbT7d1UtsVoMBpwW0x8vG2Dpp6wsngQVEgEtd4aU0TvzupgoLta1sMOoUsu4nJBWmcMzGfj6s6APhsWydnT8zn8NK+0yHZdhN3njx6wPqco3Md3HTCSOzb04B0BaOUZdjIsptwmg0Up1tZ1eTj46pO/vLZNk4YmcOfvjOWW08ciVGv4+W1Tf2uOZhynSbGe9J4cXUTiyo7kjtxjyjNYFZJBm9saOXJpfVMKUgjFFN5alk9v1u4mUcW1/BZdScacN7kAiwHSVWJ/WVlg49QTKUjECES11DRSLcZMRt0+MIxaruD9IRj28sm6ZKbYnbVI7Utv9aOclI6JVFibkdC6eIMG4sq23EN8IdCJK4NGGz9txxmA1cfNazfukWHWc8dJ1UMOFovhPjvDe0//4eQtt4wf/2ihhyHmcU13UBiKrLAZSGuasS1xFcgEscfibGosoNQVGVbZ4DpRW5K0q0cXpbB59vTYETjKoqSyGqe57Jg1utYuKWNH88o4pGzJlDTHaQrECXTbqQnFOPuDyqJbB8+y3WaqchxcHJFDjXdQRq8ITJsRsoybBSkDfwhbTboOakil3EeF3XdQeJqYiptU1sPqgaRmIrLbMAbitHaG+GNDS18XLXzx/Os8Xn79w3+D7X5o7y0ppHrjh2OqoE3FMXjNFPTFeT29zYxweNivMfJY1/UcM+pY/jH0jpWNfbgjsWZ6HHx8znljPMM/RQIGbtNy39U2cFvjx/Jla+sJRxTMel1GHSJ6XK31divaoiikPyDQgxMVTW69pBuRd2+fnVPUnt24AAAXlVJREFUJYd793FwPDzLzkNnjqey3U9lRyDxWZHtoDTD+h/VPRZCfD0J4FKApmn8e00T/17bzPzpRTjNBnrCMQyKQm8kxjubWpldlkFlex2qlkjVkGY1JlNeHDsiky9ruilwWzDqEhsONE1DURRKM2yY9DoUJbHZQNPA47Ikc7lB4pfAsEw7TT0hNC0xTVrotmI16slymJngUans8PP2xlbquoNMyE9jSkFaMu/TDnpd4vV2HI/E4tw2r4L7PqxkeYOXU0bn8szKBrIcJmy7jUzNqzi4FrLrlESOsie+qmNWSTpTCtMIRuMUua2cMyGfDn8Em8lAZUeAZ1c0cvzIbOZPL8LjtHB4acaQL6O1w4xid5/M/VFVJa5p3HXyaN7Y0EK9N0RLT4SfH1HGE1/VEY2rWI265GL4M8fnUZYhIzd7o9Ml1lUure/u1xaIxhmR5aCtN9z/icC0Ivc+78+Oz4/Z5Zn7/NpCiJ0kgEsBDd4Qz61KbM9fXt/NqWNy+deKBpwWA/XdQVp6Inx/UgHFbisaiWLxep2CxahnXJ6TDJuJlt4wvZEYZ47P451NbaAoWLfvNt3hnIl5KArUdQfJtBmTO78UBbzhGE8vb+Cr2i4UReHw0gwunlHMyGw771e2c9u7m5LlvN7Y0Eq61cifTh/LOM+e87aZDHrmjsxmTK6TBl8Qs15HdzBKVWegz4jBZYeVMOIgWz+T67Rwwshs9DqFdc09XP3KeiJxNZGgOMfOXSeP4X8/34bZoKMnEuPNDa0AfHe8h9PGega59wdOWYaN644Zzt2LthDXYHiWg38ua6Cqo5fvjs9jVmkGPds32pw3uYAX1zQmUq7oFH44rYjLDivZL0XZh5rDStLJtpto80f6HP+ypoubjh/BRc+t7Pec74z1UJ5x8NceFkIMTNG03UsTi4PN5rZezn96OZBYtHjN0cN4dmUjn1d30e4Po1MU8l0WHjl7Ap9UdfDOxjbMRh2XzCwmw2bi7kWVyeSYZ0/IY1FlO0vquil22zDqFcwGHZceVkJzT5hFW9oIRlUm5Lu4aEYxE/JcbG7r5YoXVycrCUBiBOqI0gwumFbIsjovXcEon23rTG6AABiT6+TPZ4zD/R+kyWj2hVjf0suXtV04zXrmlGcxLNOGfS91XAdLfVeAP31SxWOLd5Yx0tCwGPSUZ1iZP72Yvy+t6/OcB84Yx6zSjAPd1UEVjsWp6giwuCbxPX1xdRMbW3v7FXIfk+NgzrBMxnmc2E0GRmTZMBsPvu/7wWpzay9/W1LLJ1UdxFSNMblOrji8lFK3hc9rurn3w0pWNHjJc1m4aEYR50zM32cltoQQB54EcCmgvjvI/GdWYNDp+MHkfL6s7WZ6oRtFgZWNPjJsRgrSLCyqbCcW1xiRbUevU7j0sFIUBf7y6Tbe29JONK5i1MGC2eWY9ApvbmglFFO5aEYRf/2yltquYJ/XNekVHjhjPO9XtvH8qqY+xy+aUcynVZ18UdtFXXeIYreVC6cX0tYb5qOqzuS5T547mTFDdK1XdWeA8/65jJbeCL5QFJ2i4LYaMeoTee9umzeKV9Y1JwPfo4ZlcsOxIw6Z6dM9eWVtE3e8t2XAtksPK+GSw0oGbBNfLxSN09wTJq5pZNpMff54qu7w4w3HMOp1jMqyodcP7Q00Qgx18udtCihIs/D9ifmYjHpufXsTbf4Iy+q9TCpwsXBTG0a9DqtRlxzRqOoMUJZhw2LQkW41cuH0Qg4vTafVH8Fh1FOWaWNkloNTRnuIqxpf1HT2C94gsUvt4cXVlKZbCUVVDHoFg07hjHF5PPFVHWuaenCa9Who1HYH+d3CLdxw3HBK0q3UbL9eODY0S0VBYgF4VNXIsBlJtxqAnYl6S9Kt+MKxZLLe703IY1ZJ+iEfvEGimsXkgrRksfsdhmXamTfq4FrrmGosRn2/tac7lGYeXMsQhBDfjgRwKUBRFM4Yn8fN72yiLZBY47KuuYcLpxXy/MpGInGNfJeZNOvOKakfTSsk027ii5oufvXaun6B1IXTivjx9CKcNiMfbu0Y8HWD0TgfbOng2mOHsa0zsaPsvEn5DMu0Ud8dwmnWJ9Jg7FLi6okldfxsdhlmQxfnTSnEF47yYWU7HpeZkVl2dLqhk7nGZkoUpQ/H1H477CxGPVML0zi8JB2jXodzgNqgh6o8l4Xb541ieYOXV9Y2E9c0TqrIYWZx+oApaIQQQvQnAVyKiMRVNrX2UJZuI6qq6BSFRVva+P3JFdz3YRXeUAyXxYjFqONH04qYXZZBhz/Cnz7aOuAo2D+W1nHM8CzGepzYTP2nUsIxlbruIA6zgXyXheGZNi45rISFW9poD0ap9waxGPQUmAykW410BxPpCJp7wgzPslKabuWG19dT1ZkYict1mrn5hBGcOiaXTPvQKIdT6LYwd2Q2r61v6dfmMhsY53GRMUTudV/zuCyc7EpUCNE0MA/xfHhCCLGvSQCXQvQ6HRajDsv2/Ms13SHe3tjGL44sI8duojjdhseZqB1oNOhY1+xjW2dgwGuF4yqLqzsJRmIcNSyTV9e19Nn56QvHiKtw7PAsAtE41x47nMtfWI3LYuD8KYVoJILKBm+ImcVuphSmYdLraPAGSbea+c7jXxKKqcni7S09YX7277XkOs2cWJG7v9+qA8Kk13PxzGI6/JFkfj2ATJuJ351UscepLLGTySCBmxBC/DckgEsRuQ4zxwzL5N9rm/scb/QlShXdcVIFR5T13d040PYUTYPeSIxmX5iqzgD/XtvEtEI3Rw/LZFFlO3qdgqZp+MMxit1WThiZzaLNrdhMRtJtRvyRRK4zu0lPXNW4bFYxDpOBV9Y109Yb5pdzynllbVOf4G3X137gk21UZDvR6xVynSZMKb6QuiDNym0njqK2K0RTTwiHyUBJulWmAoUQQuxXKbEgqbq6mosvvpiysjKsVivDhg3jlltuIRLpm/No9erVHHnkkVgsFoqKirjnnnsGqcf7nkGv45xJ+WQPsAh+SkEak/L7l0TPcZopTLMQiqq0+yM0ekN0BCKJNVs6GJFlp603wpsbW7Ga9Nx+4iiOHZ7FtKJ0fnP8CK6cU8aTS2uZVZbJWI+TX8wu55YTRtLaE+LmE0Zy1ngPdd0h7nhvCxtaeukKxrAYdCyr9xIfYO+CqmmsavKxtsXH+U8v446FW9jS1rs/3q4Dym01MSHfxbxRORxRliHBmxBCiP0uJUbgNm7ciKqqPProowwfPpy1a9dyySWX4Pf7ue+++wDw+XzMnTuX448/nkceeYQ1a9Zw0UUX4Xa7ufTSSwf5DvaN4VkOHjpzPO9taeODyg5Meh1njPNwWEk6uc7+a62ybCYumlHMhc+sIBLbmQkfDa6aU46iJApQ13YHeXtjK9UdAR46cxxOs5HlDV5+9u81/GRGMYu2dPD6hhZ8oSh6ncJJFTlcMKWQCXkuLnxmBZl2E3aTHlXTqO4KUui2EI2r6BQduu3zsqqmEYmrFLgs9IbjBKMqb21sZVl9Nw+dOZ6yDNkhJ4QQQnxTKZsH7t577+Xhhx+mqqoKgIcffpgbb7yR5uZmTKbEKNX111/Pyy+/zMaNGwezq/ucpmn4QjH0OgXHXhLc1nQG+P37mzm8NIPX17WwrqWHdKuR74z1EIur2M0GWnsjDM+y8dyqRoLROE+fN4WidBveYJSPtnbw6Bc1fLKtA7fFSKMvlMiSr1c4Y5yHiflp3PrOJnKdZrzBKJG4hs2k4/HvT+L0J77CrE8EcBoa0biGqmn875nj+aiqg81t/mQ/f3FkORdMLTwQb50QQggxJKTEFOpAvF4vGRk713wtXryYOXPmJIM3gHnz5rFp0ya6uroGugQA4XAYn8/X5yscHrhu4MFCURTSrMa9Bm8A1V0BVjT4eHRxDXmuRKmiSQUu/vxJFbcu3IyiwIOfbuP3723h/CmFFLgsyfJZaVYjJelWarsCZNhMmA06ch1mjHoFBYVPqzrJsBk5uSKHeaOymZSfhqJAIKLS6Y/w4HfHYTLoiKkqmpao3LDgiFIy7aY+wRvAh5XthKPxgW5BCCGEEANIiSnU3VVWVvLggw8mp08BmpubKSsr63Nebm5usi09PX3Aa915553cdtttfY7dcsst3Hrrrfu204MgsL0geEzV+KK2i0AkzrbOAJHtC9R2rFNr7Y3w4uomrjlqWJ9Es75wDItxe643wGk24LYZCUTiHDc8i2K3lXBcZVm9l5HZdu6eOJqecIwPtnZg0is8d8FU6rqDROOJsj6dwTC/f6+yXz9tRj06ndLvuBBCCCEGNqgB3PXXX8/dd9+913M2bNhARUVF8nFDQwMnnngiZ599Npdccsm37sMNN9zA1Vdf3eeY2Tw0cncVu60owI458p5wbPsUqA6TfmfApCiwttlHrrPvBgmHqe+Ph16nYNPpOaIknSyHmatfXYcvFKPRF2JFg5c31rfy13Mm8tBn29ArOp5Z2US6xYjToqfNH+HmE0YmEt9GVSJxdXvxdzixIidR5kufsgPCQgghxAE1qAHcNddcw/z58/d6Tnl5efLfjY2NHHPMMRx++OE89thjfc7zeDy0tPRNqLrjscfj2eP1zWbzkAnYdleSbmXuqGze2dQG7EwrolcUfjKzhKV1XRS6LcmAzrBblYSidAvlGTaqdssld1hpBje8sYF8l4VMuwmbUU9HIILFqOfO97dw0fRiHvx0G3FVoz0QoT0AWXYT721pZ1K+i4Wb22nuCRFX4ZQxOaxq9LKqycslM0vIdgzN74UQQgixLw1qAJednU129jerfdjQ0MAxxxzD1KlTeeKJJ/qVZJo1axY33ngj0WgUozFRtmjhwoWMGjVqj9OnQ53DbODns8spdlt5fnUTveEYdpOe86cWEldVKjsCOLevoxvrcZK1W4qSLLuZ2+aN4oY3N1DvDQGJadROf4QchwnD9lE8p8WAw2xIVIto6+UCWyGReN+9MR2BCKFYnO9Pyqe1N8I0fRpHlGbQ1hvh5bXNaCRGDH84tWj/vzFCCCFEikuJNXANDQ0cffTRlJSUcN9999HW1pZs2zG6dt5553Hbbbdx8cUXc91117F27Vr+/Oc/c//99w9Wtw8KuU4zlxxWwimjc/GFYyyt6+alNU3JgAzAqFe4YlYpadb+9Torcp385azxbGnz09wTpsRtpbormFwXt4OigEGnYDHoUXfJAWc36bGZ9GiaxsQ8F0adjgKXBV84xv9b0dCnzNczKxo5fkQ2Hpdl378RIiXEVY2tHX6+qu2mzhtkdI6TifkuqWohhBC7SYkAbuHChVRWVlJZWUlhYd90EzuyoKSlpfHuu++yYMECpk6dSlZWFjfffPOQyQH3bSiKQoHbSgGJ3aXRuMrL65rxh+OMz3Ny4fRixnucAz63ujPAC6sbeW9LO3oFKnIcnDOxAEUDbbd9B6qmMc7jpCsYIaaqZDvMBKNx6ruDmA06RmU7uP6N9fx4RglPL6/vV6O1tTc8YN1W0VdtV4CtHQE6AxFK0m2UptvIcvRP8JxqVFXj46oOfvv2xl1+DprIsBn542ljGZfnGtT+CSHEwSRl88CJb6e1N0w0rpJuNSZTh+yurjvIL19ZR01X3zVwR5dnkGY18sq6nWsOIzGVRl+Ie08bg9ti5OZ3NtHkC9EZiDIy284vjiznw8p2ltR1o1cUrj6qnCe+qutz3YI0C4+dPZEcWQc3IE3TWFLbzU1vb6Q7GE0eH+9xcsu8UZSkp/YoVXVngPnPrMAf6Z9SZmS2nYe+O550W+oHqkIIsS+kxAic2Pe+SZC0rK67X/AG8GFVJz+fXcbNJ4zk2ZUNtPujpNsMXHlkGZ9s60QHPPK9Caxs8KJq0B2M8uq6Ztr9ERxmAzWdAUIxFbtJ3+eX9YXTiiR424uariC/eXMDvnCsz/E1zT3872fV3DZvVL+p7VSytSMwYPAGsLnNT5MvhMWgJxiL4zDpMRlS916FEOLbkgBODEhVNd7b0rbH9v/7spb/d/5k5pRn0tIT5vGvann8q7rk1NeaRh/Xvr4BgAybMVnqy2LQUei20twTwm0x4o/EsRp1XDC1iKOHZe7/G0thG1t7+wVvO3xc1UFdd5AR2Y4D3Kt9pyecGFUclmkjx2HGG4qxoaUHDTh6WCY1XUEe+qya1t4wwzPtfH9SAeM8TowGST8jhDj0SAAnBqQoYDPu+cfDZNDB9ooQncEI729p79OuAVajjmBUJab2naW3m/TMLs3gvMmFBKNxch1mitOtGCQP3F619Oy5QkhM1QikeDWLkdl2fnpEKSsbvFS2BchLs3DF4aU0+UL0hGNc98YGzNuDtZquIB9WdXDHiRUcP/Kb7WQXQoihRAI4MSBFUThtbC4fbG0fsH3eqGw8zsRu0TSLkRFZdra07yyRtbLRy2ljcnluVRMOU9+prjSLgQn5abKz8D9Ulrnz/RqeZafEqaMnCiubejHqdaRZ+u8iTiUd/ii/e3czrb2R5LHnVzXywBnjeH5lA6bdAvy4qnH/x1sZ63GSJzuXhRCHGAngxB6NyXVwUkUOb21s7XO8xG3lexPy0W8vf5VhM3HZrFJ+/dq6ZNWH5fVefjyjCF8oRmXHzsAux2Hi9hMr9knwpqoadd1BfKEYVpOOwjRrSq8B+zojsuxMLXTx/cIQ1ur3UTetQHFk8MNJ38HnGk5hWuoGMc2+EPd9uBWXxUBM1egORlE10Ctw7weV/Gx2GY8vqQV2VhaBRBm4Zl94rwGcpmlUtvv5rLqTtc09DMu0c/SwTIZn2aX6hxAiZckuVLFXHf4wG1p6eXVdC/5IjONHZjO9yE2h29rnvFA0xuKabh7+vJptnQGMeoVjh2Xx45lFBCMqzb1hHCYDxW4r+fsg0OjwR3hpTRPPrGjAF45h0CkcWZ7JTw8vHdIje11bl7H2sQX4vN1AYqo73Wpk2CkLyJx9AXqzfXA7+F9aXt/NZS+sBhIVQ6JxFZVEADc808Ylh5WytcOPBpj0Oj6p6mBDay+5DjP3nDqaMZ49pxhZUtvFta+v77NBwqhXuH1eBccOz5I6vEKIlCQBnPjGVFX72l92Hf4IncEIBkVHfpoZ837YKRhXNf72ZQ1/+7K2X1tFtoM/nT52SJbkivu7aX76SgJ1a4nGNeKahkGnYNLrUHQK+Zf8HUvB2MHu5n9lSW0Xv3h5LZPyXRSkWQlGYixr8DI6x4nLYuBfKxpo7gmjaYm1ldccPYxxuU6WNXixGXRMLnQzJtdBflrfPyyafSEuf2E1Db5Qv9d0mg088f1JlAzhgF8IMXTJFKr4xr7JSEWm3USmff/m6qrrDvKvFQ39jmsarGj0srTeSygap8htZVimlXTb0AjmYt5mwg3r0OuU5PR1kqYR2rYsZQO4PKeZnx9RxusbWvi0qgG31cjp4zxMyHNx1pNfUZBmTdby1TT438+q+dXRw3hpdRMmg47nVjdRmGbh3tPGMjxr5yhkoy80YPAG0BOOUdMVlABOCJGSJIATKac7GO2XL0zVNHyhGHXdQd7b1MYr65pp80f4ycxirjyyjOIUT3ILgLazSoUWiyQiGZ0ORW/cfmzPu1QPdo2+ML9/fwu1XcHEga4glR1+5o7KZv70Yj7b1klxuhV/JIZRr6O+O8i7m1o5elgmn9d0AVDvDfHQp1X84eTRyeTUkfjeK3uEYqm9c1cIceiSFbwi5ViNenRKYko3Fg0Ti4aIxaK09ISJqRrptkR+ubiq8ejiGt5Y3/L1F00Bemc2Bnc+8Z42ou3VRNqqiLZVE+/tQIvHsJROHewu/le6AhEe+LQKi0FHQZoFs0GHoiTWur2ytplJ+S66g4nvbyASR1U1su0mGrxh3LvV7/2ipqtPnd8chxmrceCPOZ0CRbut5RRCiFQhAZxIOQVpFqbm2wn3NOLv3Iq/YysRbw2lzhgjM62YDTp6dkl4+/DiGrZ29A5ij/cNxWzHNfMcYv4uNDUxcqSpUWLeZizFE9HiUUIN64iHUuteW3ojbG7zo9cpuCwGitOtlGfYyLAZsRj0LGvoxmUxEI6pBKOJkm3+aJwJeS46dykpBhDX+o66Fbut/Ghq0YCve9oYD8USwAkhUpRMoYqUE+5t5qKRfrbWaGwLaqBAPBbBEmrlT2cfzT9WefucX9MVJBzd+1RaKoi1V9O77n08592P76sXCDesRW9NwzHxFDCYCdevoeuDR3HN+D5Mv4DacGITSb7LQrrt4M0Rt/vKSoNOAZ2Cqmk4zAYUlD6pQxRFoTcc4+xJefzxw8o+z820GXHvkg/PoNfx/cl5TCpw4QvFiKka65t9ZNjNnFSRg90sH4FCiNQkn14i5YQ7NtH2wbXcMvUy2o0j2doZIdtuoNTai2H9H/jR+Gt4ae3O80dm2ZJrolJZzNtMpH4N4ebNWIYdhm3UHGLeJnpWvka0vYbc799DPK6ybdE/UEwl/GZrIV3BKKNzHFx37HDG7iXVxmDKdZoZk+tkfUtPn+PRuEZPOMbJFTl9psGz7EYun1XK6gYfRW4bG1p3jjjOn17cJ8VNsy/EO5ta+eNHVWzt8JNmMXLB1EJOGesZkjuVhRCHjtT/rSYOOd7GZcSjATqX3o/BYGGCLQMlHqSzN7GYfcSkvov5fza7fEjkhtMMFvyROJ3d3Rg63yYt3IoS8aNTEmNYisGELxyjtTeC66tnOHrCb/j3ligbWnv56xc1XDi9iPXNPXhDMSYVpDE8y07OQRDEuK1Gfj67jKtfXUtwt5HS08bmsr61h+uOHY5OUVCURBqZdze1UphuxahP3Hu23cRFM4o5YZeyWqqq8tKapmRNXgUFXyjGXz6rZlNbLw+dMZ7CdJlCFUKkJgngRMoxWtOT/1ZjIYK+RnSKgtmgI6bpUZXEj7XdpOfqo8o5YVTWYHV1n1FVjWZ9Ns0xG5FwELdFhxqLEo+pGPQ6LNmlRP3ddPgTZagi3nYyTYl1cpPzXWQ7zPzgqeU4Ldv/y39Vx/g8F7fNHUXRQRDETClI45HvTeTVtc2saPDitho5c0IeDd1BHl5cM+Bzrjk6UX0iHFNxWQ3ku/rex6Y2P/d9WDXgc9/b3E5lp18COCFEypIATqQcd9FhoOj6pNVQNQ1NheLRx2J05vPSfA95Tgsjs22Yjan/Y17vDXLzYh+//M5v6XjhN4TjIZxGK1okhGp24p53NVsXPUWmzURM03CWjyXmyWWqt5vDitP5+ctrSbMYdgZwwJomH/9a2cDVc8oxDHJJKZ1OYUyuk5FZdnojMUx6HTaTgVWNXuzL6vuljTmiNIPROU6yHCZ8oShbO/w8t7KJUDTOEWUZjMpx0OGP0Nq759QqvlCUDyvbeW19C+FYnLmjshnncVGemZrVLIQQhxapxCBSTq+/h44tr7PmvTv6BHHuzBJGn/xnMj2jBrF3+8eXNV387N9rKEkzc3mFhq15FXnBbegMZlRXHt1L/01DfTUA2S4bwZPv5oKPYe6oHM4c72Hh5jZG5ThRSKSP+7S6g81tfuwmPU+dN+WgSafR4Q8TiWu4rUasRj2aprGxtZd/r2liSV03dpOesybkc0RpBrlOM93BCP/3ZR3PrOyb2HlyfhoLjihl9l8+Y6BPuEtmFqPo4G9f1qLuMmt7ZHkGfz5jHCOzHfv5ToUQ4ttJ/aEJcchx2J0w4lQOyx5L57aPiAbbceVPw5o9jsycssHu3n6xfZkbNd4w138BemUMo3Omcnl+N91v3ok73Iqqgj4tF+dpV/N4vZuuYDtLars4dngmq5t6eOyLWnSKgttiYP6MYordVt7b0k40Nvg7dFt6wny0tZ0XVjfhC0UZk+vkh1MLGe9xMTrXyYgsO13BKCa9jrRdcr+ta+7tF7xBoiLH4pouzptcwL9WNFCYZkXVNBp8IRwmPWWZNv70UVWf4A3gk6pOXl7TxLXHjtjftyyEEN+KjMAJkQLquoNc9OxKuoNRYnGN6q4A0biGx2nmsgk2zihW2NLWw5aQnfeb9WTZTTy3qonfnTiKez6sxKzX0759fdwON50wgprOAL87sYKsQdzM0BWIcNeiShZVtvc5btAp3HfaWI4oyxjweaqqce0b6/loa8eA7R6nmT+cXMGXNd2sbvKhUxRGZNnxhaNsbvPz6roWwgMEr8OybLw8fzplMpUqhDiIyQicECmgMM3CVUeWc/vCTaCwfeepRnNPGL+xkN+u6uH19VGgmymFiXVck/JddAWjeIMx0q0KBp1CTN3599o/l9bzt+9PHJTgrbknTE1XgK5AFJtRj9NswKzXEd4lCW9M1Xjw0ypG5zjI2KW+bjAap747SCAaZ1phGs2+EJva/KBBRFXRNNDrFLzBGJXtAf78SRX+SBx/JI5Zr+OKI0oZk+Pg+VVNA/bNG4x+bQkuIYQYbBLACZECFEXh+JFZeFxmnlvZyPKGbqxGA6eNyWVNk491zTtzqJ1UkctHWzsYmWOnsj2RZsRq1KNqGj3hxGYAo14hElfJsJr29JL7zbpmHze+tZGG7SWv2nrDFLltXDyzmL99WUMkvjPI3NoRoLU3kgzgtnX4eeizbXxW3UVc1YjFVeaOymFYpp0nvqrDG4oSVxM7kE+syOGTqg4sRj0Wo54dA2rPrWrkumOGU5JuIRBVCUXjyfcF4IiyTDxOy4F7Q4QQ4r8gAZwQKcJs0DO10M14j5MGb4iX1jTx5NI6wjF1+65NPZMLXFgMOjoCERxmPcXpVhQFbCY9aVYD0biGqmkYdApZdhM2k/6A3kOTL8SNb26kwbezXqmiKDR4g/SEY1x91DDaeiOEYiofbm2n0RtCt32DbEtPiJve3sjmNn/yuXENHllczfzpRRS7raxsTJTWshh0HDs8i/s/3opxlx22wWicJl+YV9c1M6PYzVPLGnCZDWTZTbT7I1iNOn56eGmfdXZCCHEwkgBOiBRjMugpy7Rz3pRCxnhcvLWhJTFCNyKLuu4g/1haByRKiJ02xkOJ24pJnygQbzbsLFx15vg88l0HdqSpujPQJ3gDGO9xcNzIHB7+vJpQTKWtN0Key8wVh5cSisTxOBNTvFs7An2CNwCzQUeBy8LLa5u5YlYpKxt9TMp38cujynl6WT3NPWGy7WbimoYCNHhDxFSN6s4gt8wdQWcgxrubW9FHFOaOzOLXxwxnWqH7AL0bQgjx35MATogUleeykOeyMG979QGdTqG+O8jwLAfrW3rwOM1MK0oj1zmWP7y/uU+Vg2OGZXLm+Dx0ut0rke5fHYG+xecV4MwJ+Vz1ylp6w3EK0hIBZZMvzG0LN/HShdNxba9turU9Ebzlucxk2kx0BaI0+EL0RuJE4iqTC1y8NH8asbiGTgfZDjMGnUJ1VwCADJsRfySGQa9jdK6DF1Y3Uey28MfTxlLstpFpN1LZ7qe6M8DEgjRK020HfIRSCCG+KQnghEhxuwZhhW4rhW4rc0ftLClVlmFnZLadyvYAveEYw7PslKRbB2Wa0OM0k2YxcMzwLHIdZox6JTH1m5/Gl7XdGPU6LEYddqMel8XIi6ubmFnsxmE2Uphm4YrDS9nWGaCqw8/oXCffGefh6WX1bGrrJRRT+emLa/CGYuQ6TDx01nj+taIBVdUw6HVE4xomg448p4VzJ+VT0xWkqsNPOBbn/62oZ1WjLxmw6RS4eEYxP5hcgNMi06lCiIOPpBERQhwwHf4w721p594PtrKxtRenOREwfW9CHga9jo+2dqCwMyhNtxr5+7mTyU+z8HFVBz94ahneUCx5PZtRz+0njmJ9i4+23iivbS96f/6UAnrDMaYXu/nH0nq2tPvJdZopy7By1vg8HvpsGzVdIQ4vSefKOeX87N9rsJsMWAx9K1I8cMY4ZpUOnMZECCEG0+DWzxFCHFK8oRgPfbqN2u3TmnENInGNR7+oxW01UpZh6zOimGEzYjXqaPKFuHdRJS6LgR3NRr2Cxajj8SW1nDelEI/TTKYtMVqW57Lw5sZW/ufjKk6uyOGB747jkbMmMCLLwc3vbGJzWwBNg7XNPfzspTVcdWQ5Jn3/6eQX1zQRk5QiQoiDkEyhCiEOmOUNXkIxlUK3lUhcRdU0VA1CsThPL2vgslkl1K5sINdh5sjyDGYWp9MZiBKMxukIRnCYDJRm2IjEVaLxxIaHdn+EL2q6+HRbJ785bgSPL6khpqpML3IztdBNjsOM22JkVaOP1Y1e/JE4O0I1nU6huSdMdzBKrsNM227Jjtt6I0Ti6qDXihVCiN1JACeEOGA2tCTy1el1ClZdYvpUVTVGZtmZVuRmnMfJFbNKAY3/W1LHMysbMRt0TMp3cdlhJTy5tB7CMaJxlZaeRLClKBCNa2xs6+XWdzdz1ykVLKv3ctGMIn779ibquoN4nBYMOrji8DLSLEa2dgZQSFR7MOt1NHpDXDqrhFfXNrNml5x6kwtcWI2ykUEIcfCRPyuFEAdMSbqt37HDyzK45LASNrX5uemtDTyzsoEGX4iTK3Iw6BTiqsZn1V3c/UElZ0/MQ1W1PrtZDTodTosBTYOecIzlDV6OG5HFDW9swBuMolcUNE2jrjvETW9v4MwJeaRZDOh1Ck09YRp9IeKaxv98VEWa1chpY3KBxPq6EytyUJQDu1NXCCG+CRmBE0IcMIeVpPPY4ppkyayyDCv5LgvXvr6BTLuRDJuJZfVePq/u4vuT8pldlsGn2zox6xVag3G8oRjpNiOlGVamFqYDYNIrbGjuwWnW0xOOs7U9gMfZS0cgSkGahRxnooTYOI+TMbkOvKEYJ1fkcP/H24ipGgYdzCxJ58U1TSyt93LVnHKOGZbBOZMKGZXtGMy3Swgh9kh2oQohDghV1Wj0hWj0hXh/SxuLKjs4fayHez+oJKpq5DhMqBpUdSQ2OCgKPHjGOB74dBs6JbHh4ajyDE4enctDn27jk20dpFtNHDUsk2OGZ/HMigZqu4OcMDKbMTkO1rX00ugNUtsd5PuTCghE47yxoZVYTGVuRTY5DjMPfbqNi2YWU9nmZ2l9NzFVI8Nm5InvT2ZYlhSzF0IcvGQETgix3zV4g7y0uolX17fgC0YpybDy89llZFiNOC0GTHodekUhHFdJsxjojcSJxlVqvUE6AxGCUZV0m5GCNCvPrGhgc7sfp9mINxTj+VVNvLe5nd+fXMH/fFzFKaNzefyrWhq9ISYXpHHprBLu/7iKj7Z2oqFhNep5ZkUjDrOeR8+eyD+W1rK2uRejXodRD8GoSjQuf9cKIQ5uEsAJIfardn+Y29/dzPIGb/LYts4gdyzczA3HjaAsw0Z1Z5D2UAR/JI6qabjMBmKqil5R8EfiBKMqgWickdl2Gr1BLAY9PaEY4VhiKrYrGOWTqk6unlPOa+uaWV7vpb47xJY2PwUuCxtaelEUQFPIsplQgdquIP9veT1jc11UdQQJRBMF7W1GPRajLA8WQhzc5FNKiK8Ricdp9AZp9oVQVRmZ+U9Vtvv7BG87aMBfv6hl3qhsarsDdAaihGMq4ZhKU08IFKjIcRCMqugUuOboYfz9qzom5Kdh0ivkOs2UZljJdZrwuMzUdQcJxuJ8XtOFzagn025kUr6LJXXdAOQ6zBSkWbCZ9Jj1Cg6zgXc3tZFpN/G9iXmcOd6DToGTR+dQmHZga8QKIcR/SkbghNgDTdPY2NrLv5Y38EVtFya9jrmjsjl9nGfA3ZRiYKsafHtsa+kNUZHjwKzXE1DjyeMGvcJPDy/FbNBx5ZFljMi282lVJ59s62RktoNcp5nmnjBWnT6Z5kPTNGq7gkAiTYnHaeayWSX8c3kDdd1BjHodBp1Cus2ITlFo80ewGHTUdge594OtHDs8k1/MLufo4ZmS900IcdCTAE6IPdjQ2suCl1bTG94ZWDy1rJ5Pt3Xyp++MpdBtHcTepQ6Hec951GJxjdaeMPecNpqldV42t/XicZqZVZLO59WddPqj6BSFv3xWDSRKa6mahn6A1B6njfXweU0nConRvVNG5/LEV3VMK3Lz0pomAFQNWnrCpFmMOEx6jh2eRXVngDyXma0dAVwWAwVp8n0VQhz85M9MIQYQicV5ell9n+Bth22dAb7aPi0nvt6UQje6PaRSm17sZnVzD3/5rJquYIRxHgezSzOIaZDtsFCaaWNmiZvhmYkRT7tJz8zi9MQU63aqlkgRMj7PyahsB1ccXspR5RkUpFlYuLmdQCTOjOJ0FAU0NOKqRlcwSkGalVPG5LKhtRe31YjNpOfVdc0Eo/2/50IIcbCRETghdlHfHWRFg5dAJM4ra5tR0bAY9Oh3i0De3tTKqWNyMcpU29cqy7By5ZHl/M/HVey6gjDTZuKqOeX835e1AGxp8zOnPJPnVzXxaXUn0bhKYZqVQDTGjceNRKdTGJZp57ASN/ecOoa3N7YSUzWmF7mp7Q7yq1fXU9ud2Izww6mJHG63zxtFVzDCJTOLqe4K8NaGVryhKDNL0rlwahF//Ggr8V3WNQajap/HQghxsJIATojtqjsD/Pq19VR3BThnYj7BmEpLT5h0q5Fsh6lPEGfW62T4+huyGA2cMS6PsR4n725qo6UnzIzidGYUuynNsPHj6UWsaPAyLNPGsjovi2u60CsKTpsJvS5R7P6uRVt49oKpjMl1kuUwU+i2cdSwLDa09HDFi6vxR+KgQJ7LTCim8sraZordVh5ZXI1Jr+P8KYW4LUbmVeQQjMZZWtvNts4ATT1hdArotk/JHjUsE4dZPhaFEAc/+aQSAojFVZ5d2UB1VyKJbKM3yCmjc3jiqzq6glGcFj12087/LqeP86CX0bdvzGbSMzE/jYn5af3axue5ePisCVS2+/npi6uxGHS4bUYcJgN6HTjNRnQKVHUGmDMsK/m8eFzlyaV1ieBtO72i0BOO4Q1FeXF1I6eMzuUfS+u578Ot/GRmMb2RGF/UdJFlN7G60UdtVzC5saHYbeW4EVn9+ieEEAcj+Q0kBNDcE+bdTW1MyHPy08NLcZgNHDcii8kFaaRbjXiDMTRNI6ZqHFGWwYQ812B3echQFIXRuYn1a1l2M8XpVtKtRox6BZ2iYNQr6HUKjb7EurfecAxvMEo4rtLkC/e5Vjiu4g3GUFDo8CdKaemUxDq5p5bVMa3Qjcdp5tZ5o+gIRJKjb1ML07ju2OHkOSV9iBAiNcgInBAkfsGPyraT77Zy1SvriKsaTrOBq+aUE47FWdvcg14HR5Zl4nEkUlikW42SbmIfclkMFLgttPSEB2yvyHby2rpmnl/VSFTV+N4EDxU5Dta39CTP2bWCwqgcO52BKHkuC4FoorJDtsPEORPzafGFKXZbuXXeKFRVY11LDze/tYH/O3cyFTnO/X6vQgjxbUkAJwSQYTNx3Mhs5j+zkh3VgXvCMW5fuClRbP2YYcTiKi+sbsIXjmHSK9x96hhml2UObseHEI/LwsUzivnD+1v6tbktBqKqyp2LtiaP3b1oK7+cU55MGwIkd7sqCnxvQj73f1xFgzeEXpcYaesKRLn61fUUu6389IgS/v5VXZ/X2djaKwGcECIlpNzwQTgcZtKkSSiKwsqVK/u0rV69miOPPBKLxUJRURH33HPP4HRSpByH2cDWDn+/43pFIRCJ8/DnNZRnOih0W1BILKy//6Mq2noHHi0S/51jh2fxyznlpFkSf1sqwMR8F787qYI31rf0OVcDXlzTxM1zR+JxmPCFYgAUpFm4fd4oPqvppN6bSOwbV6EwzUrr9u9XbXeQmKphN/XNUaeq+/f+hBBiX0m5Ebhrr72W/Px8Vq1a1ee4z+dj7ty5HH/88TzyyCOsWbOGiy66CLfbzaWXXjpIvRWppCcco8htpcMfIRCNYzfpsRn1dAairG7ysamtF6tRz6WHlfB/S2qp7Q7S3BMm22Ee7K4PGWlWIz+YXMDssgyae8KEYiobmn3cs6iSilwnc8oz+deKBnzhRLBWkeMgHFOZVJDGsSOzMet1lGXYuO/DrbT0holvD8hcZgO/nFPG08sbMOgVYnGNre0BMm0m/JFEkKdTYHSuY7BuXQgh/iMpFcC99dZbvPvuu7z44ou89dZbfdqefvppIpEIjz/+OCaTibFjx7Jy5Ur+9Kc/SQAnvpFphem8vbENq8FCTNMIROLUe0NE4yoVOQ6qOgL8c1kDG1p6+e44D8+vbkpOt4p9R1EUbEY9z61q5KOtHWhaYsTs3c3tFKZZuOH4Efzl020oJNJ+nP7EVyiAQmL+dHSOnR9NLyKmaqxs8DEyy055pi05/Z3rMNPgC5HrMrOprTf5uj+cUkhJulRhEEKkhpSZQm1paeGSSy7hqaeewmbrX4dy8eLFzJkzB5PJlDw2b948Nm3aRFdX1x6vGw6H8fl8fb7CYZkWOxRNLnCR6zCj0ykoKLT7I+zI/PajqUW8vn0Kb1m9F6fFSFm6DY9TRt/2h7UtPXy0tQNIrGfbMaVa7w3xwZZ2Jua7OGl0Ni+vaSYe15LBG8CGVj83vLGRZm+Iyw4rwWkxsKa5h7mjsjlnYj5ZdhOjsx2M9zixGfVMzHdx58mjuWBaITZTSv1NK4Q4hKXEp5WmacyfP5/LL7+cadOmUV1d3e+c5uZmysrK+hzLzc1NtqWnpw947TvvvJPbbrutz7FbbrmFW2+9dZ/0XaSO4nQbf/zOWB76bBsfb20nGtcoTrcyf3oRi6s7ad5ld+T6lh6uOXoYORLA7Rev77bezW7SYzHoCMVU3t/Szq+OLsdq1PNZdXe/KhkAwzJtlGTYuPrVtVR1BglszxU3zuNkwRGllGXYmFqYxuGlGViNekneK4RIOYP6qXX99ddz99137/WcDRs28O6779LT08MNN9ywz/twww03cPXVV/c5ZjbLL+X/Riymsrm9l3pvCEVRKEyzMCLTjsGQMgO9jMpxcPcpo9nc1suS2m56wjEWVXZQ2e7HatQRUxOltcbkOplS0D8prfj2NE0jEuu7m8Co11HgttATjhGPJ1K85KVZGJPrYHF1/xH2C6YW8vv3tpDlMFGQZiEcU4nEVLqCUZbWd3PW+DysJgNWGXETQqSoQf30uuaaa5g/f/5ezykvL2fRokUsXry4X2A1bdo0zj//fJ588kk8Hg8tLX3/at/x2OPx7PH6ZrNZArZ9oDsQ4eW1zdz67iba/VEAsuxGfn/SaE4bk4PLavqaKxw8bCYDI7MdPL6kjsU1ieDAZTHgMOlRNTDq4ehhmRhTKDBNJYqiMG9UTvK938Gk15FpMzGnPJNTx+SSZTfjthh5cmk9sV3yv7ktBvzROFajHtP2PH0Gkz654/TL2m4afCFGZMuGBSFE6hrUAC47O5vs7OyvPe+BBx7gjjvuSD5ubGxk3rx5PPvss8ycOROAWbNmceONNxKNRjEajQAsXLiQUaNG7XH6VOw7S+u9/PzltX0W9bf7o1zx4moK3TM4alhqlSiymQwsOKKMqo4ALdtTT+h0Cnrgl3PKKU3vvw5T7DuTC1yMyrazqa1vahe7Sc+PpxeRs71iwqQ8F499bwLXvr4++YdDtsOESa/DYdb3uy5AXNUIxiRfiBAitSmalnr76KqrqykrK2PFihVMmjQJAK/Xy6hRo5g7dy7XXXcda9eu5aKLLuL++++XXaj7mTcY5ZLnV/HmhtYB28+akMf/njkOu9l4gHv27dV2BVhW72VJbTfZDhPHj8hmeJYdm2ng4EDsO3XdAd7a2Mqb61sJxVRmFLs5d3IBo3McKMrOdW87pu7rvCFiqkaR20JXIMqvXls/4HWdZgNPfH8SJRkShAshUteQWQCSlpbGu+++y4IFC5g6dSpZWVncfPPNErwdAF3BCJt3Scewuy1tvXQHYykZwBWn2yhOt/Hd8XmD3ZVDTpHbxqWHlXLG2Dzimkam3YhJ3z9wNhh0jPG4GOPZWZ+22ReiLMPGts5Av/O/PymfIrekCxFCpLaUHIETB5euQJgfP7uK9za3D9h+2thcHvveBJyW1AvgROqq6vBz/8dVLKntQtUS06/fn1TA2RPyyXKkzppMIYQYiARwYp94c0ML5/xjWb/jigL/nj+d40d+/VpHIfY1fzhGvTdEMBrHbTVS5LYOmHZECCFSjQRwYp9o6w3zrxUN3PHeZgKRxAJxu0nP7SeO4uyJeWTYZKevEEIIsa9IACf2mWA4xuYOPzVdQfSKQrHbyohsGxbjkFlqSTSuEojEcZr16HSSRkQIIcTgkABOiG+g0x9mdVMPTy+vp94bYlJ+GmdO8DA5Ly2lEhULIYQYGiSAE+Jr9Iaj/GNpPde9saFPnjubScc/z5vC3FE5g9c5IYQQhyQZOhDia1S2+7np7Y3s/qdOIKJy45sbqO70D/xEIYQQYj+RAE6kJH8kRncwgqru/wHktc29RGIDv86GVj8N3tB+78PBRAbthRBi8A2d1eXikNDaG2ZJbTcvrW4kEI1zWEkGp4zO2a91LSPxeJ/HipL4UrdXY4odgCDyYNDkC7Gy0cdbG1ow6nWcMjqXcXlOchyyw1gIIQ40CeBEyujwR7jng0o+2tqRPLa1I8Dr65t54LvjGZPr3C+vO87jQlHAoFNwWQxoWqKepsmgI91qxLO9LudQVtcV4Po3N7Ku2YdBp0NR4OOqDo4ozeCG44aTewi8B0IIcTCRKVRxUKnvDvBJVQf/b3k9725qZcsuxcw3tvb2Cd528IZi/N+XtQSj8X5t+0J5po0rZpXgshho9Iao94Zo6glT2x3kohnFmPRDOzFsVYeffy5v4PX1LVR3BmnpDRPeXgz+s+pOltV7B7mHQghx6JEROHHQ2NDSwzWvruPjqs7ksdIMK4+dPZHDSzN4b3PbHp/7eXUnLT1hSvdDgfIsu5kLphbishp5dkUDzT0RKnLsfH9SAQs3t1LZ7ufOk0ZhTcFar19nc1svL69t4rmVjcS3TxV3BaL0hmMUua2YDTpeWt3EMcOzsBr71ykVQgixf0gAJw4KXYEwd7y3uU/wBlDdGeSiZ1byykXT0djzWrP9vbD+o6oOnviylu+M9eC2GanrDnLLO5vwhqK4LAZ+PL2IiQVp+7UPB5KmadR1B9nU2su4XBcojX3ao3GNnnAMs8FEKKYmgzshhBAHhgRw4qBQ1Rnk9fWtA7bVe0NsbvNz/Khs3tgw8DkzitPJ2Y8Fyqs7g9R0B3nws2392nyhGMHY/pm+HQydgQhvrG/h8SV1rGz0ckRpOjOK3HQHo7T7I8l0Kj2hGBlWI8cMz8Rhlo8SIYQ4kGQNnDgo9IRjex3FafSFGJPl4LCS9H5tdpOenxxWgs20/4KICfmuPbbluyw49uNrH0iqqvHvNU088Ok2uoNRFOCjqk4mFaQRj6ukWXbep6JAtsPEMcOzBq/DQghxiBoav3VEynNbjFiMOkJRdcD20gwbGQ4zNx43gk+3dfLSmiYC0Tgzit2cOS6PUTn7L40IwOQCF8VuK7XdwX5tVx5Zzri8PQd4qaSuO8jTyxsAMOgV0qxG2noj/PnjKn5z/EhWNHh5ZV0zekXh3MkFXD6rhPJM+yD3WgghDj1SSkscFHrDUW54cyNPLKnr1zbO4+D//XBqn0ChOxghGtdItxox6A/MQPIX1Z1c+8Z6Pq/uAsBlMXDlkeVcMKWQ8qyhEcSsaPBy6fOrko8jMZV6b4hwTMWoV/jjd8YSi2vYTTqOG5l9SKRQEUKIg5GMwImDgsNs5Kojy4nGVZ5b1ZisfDC7LIO7Thndb5THbd1/69325LDSDJ76wRTqvUECUZUsm5GKbPuQ2n1qMehQILldxGTQUei2EIjE8YZiRGJxhmU5GJ/nwuOUBL5CCDFYZAROHFR8oShb2v10+KO4zHpKM2x4XDLKc6D0hKL86rX1LG/on9vNatDx+LmTGT5ERhuFECKVSQAnhOhjc1svv3ptHU2+cPKY2aDjdydWcFR5Jjrd0E5cLIQQqUACOCFEPw3dQda39rKxtYdcp4UpBS7KMuzoJXgTQoiDggRwQgghhBApRvLACSGEEEKkGAnghBBCCCFSjKQREQclTdOo7gqysbWX9t4w5Zl2hmfayJUdqUIIIYQEcOLgo2kan1d3ceNbG/BHdtYYHZZp586TR1OWaRvE3gkhhBCDTzYxiIPOto4AFz23gt5w/wLxs0rSufPk0dj3Ujx9c2sPHcEoOiDbYZZST0IIIYYcGYETB51Nbb0DBm8AX9Z2Ue8NDVj7tLUnyNJ6H7cv3MyS2m4UBY4ZlsVvTxjBYYVOzGapHCCEEGJokE0M4qDT7o/ssU3VIBgdOLjb0BrgrL8vZUltNwCaBosq2znzyaWsagnsj64KIYQQg0ICOHHQKd++xi2uauw+w2836XFb+9cebeoJ8cjn1YTjar+2rkCUf69pIhiM7p8OCyGEEAeYBHDioOMw6XFbDFR1BKjuCuILxYhsD8zOmZhPkdva7zltvWG+qOnc4zU/29ZJqwRwQgghhggJ4MRB5dNtHZzxxBJOGeNhZkk63lCMLe1+IjGVC6YWcs6k/AHLOVn0OrLse17jlmU3YzfKj7sQQoihQXahioNGXXeQi55ZyQdb2zHqFU4alcvhZeloGkTiKqeMzmVSQdoen//w59UseGnNgG0vXTiNM8bn7a+uCyGEEAeU7EIVB41Gb4gPq9oBiMY1Xl3fzKvrm5PtJr1urwHc0cMyOGdiPs+tauxz/Jdzyhmd69w/nRZCCCEGgQRw4qAR1zT2Nh4ciMQGPL6q0UtzT5i4qvHb40dw6WHFvF/ZjlGn49gRWeS7LAzPklxwQgghhg4J4MRBI8tuYpzHydrmngHbZ5dl9nncHQjzfmUH17y6jtruEABui5HbTxzJ1UeWkemQsltCCCGGJgngxEFjZLaDW+aO4tx/LiOu9h2K++64PIbtVkJrXauf859eTiS+89zuUJRfvLyOfJeVMycM7pq33nCUzW1+Pt3WSZs/wowiN2M9TqkMIYQQ4luTAE4cVI4ZlsFrF83ggU+28VV9N1k2IxfPKOHUsTmU7hL4xGIxnl3R0Cd429UDn1YxucBF2TcIluLxOOta/NR2B+gNxSjJsFGSbiU/rX+6kj0JR2NUdQaJaxoZViMui4EXVzdx5SvriO3Sx0kFLh773kTGeGRNnhBCiP+eBHDioOK2mZk7KofxHhcdgQhmg44R2f3LZnWH4mxo7d3jdTa09OINfX3et0gkzruVbVz2/CpaehMVIBQFzp9cyG+OH8HIAV57d+ube3jsixqeW9lATyTOjCI3vzuxgl+8vJbd8wqvbPDx4KdV/PE7Y7CZ+ick3pv23gj13iDBaJwsh4kStxWTQf8fXUMIIcTQIAGcOCjlpVnIS9vzGjanUc+wTDvvb2kfsL0804bD9PU/3qtbejj/6eX4IzvLc2ka/HN5PSXpVm46bgRG456DpC1tvfzkuZWsbtq5bs+oU3hvSxuRuIZe6Z+z7oXVTSw4ooxxed88gFvT5OOOhZup6kyUBDPpFb47Po8LpxWR7ZAar0IIcaiRzKYiJZnNBn4wuWDApL4APz28jOF7GD2r6wqwuLqTT6o6aPdHqMgZ+Ly/flnDxnb/XvuxssHbJ3gDyHKYaekNE42raPSf4g1G1WRliW+itivAr19blwzeACJxjWdXNvLSmiZUVVI5CiHEoUYCOJGyKrJt/O3sibgtO0eyzHodvz1+BLNKB84Xt7i6k/OfXs4Jj37BBf9vBQteWsOskgzOn1LY79zW3gjh2N4DrQ+3dvQ7tqyum+mFblQtMZoXUzXUXfKjDMuy4bZ+88Hvtc09dAQGng5+bmUj9d7gN76WEEKIoUGmUEXKynVZOXuChwl5Tmq7Q0RVlRK3jeI0C7kDTL+ubfJy/tMraO0NAxCMxrEYdTzw6TZuOHY45Zk2qjp2jnIVu61Yv6b8Vpql/zRoTXeQdJuR0bkOqjoCxNREEGjU69ArCtcePZzyzJ2jfts6eqn3hqn3hki3GihMszAub2cAWrmXUUBfONZn+lcIIcShQQI4kdJsZiOTC91M7j+A1s8XNd3J4A3AH4mTaTNi0Cn8c3kD50zM4/6Pq5LtP59dxliPa6/XPGVMDg98ui35WEMjpmr8/N9r+dcPp/C/n1Xz77VNROIaRWkWbjx+JCeMykqev67Jx01vbeSV9S3JY8MybDx2zkSOGZ44r8i9592wNqMe617W6AkhhBiaJIATh4wVjd5+xzqDUcozbNR5g+Rs3wxgN+n5+ewyzhjn+dprjsx2cOPxI/j9e1uAxJSpqmmkWQyoqsac8nTmTy8irmnEVQ2byUDO9gTDHf4wf/q4qk/wBrC1M8AFTy/njZ/MZGJBGhPyXdhN+gFH2k4dk0vhXjZ7CCGEGJpSKoB74403uP3221m9ejUWi4WjjjqKl19+OdleW1vLFVdcwQcffIDD4eDCCy/kzjvvxGBIqdsUXyMci1PZHuCjre00+kJMLnAzrTCNkgzbXp9Xmt6/vTccJ65qjPc4OWpYJq9eNINcp5lRmXYc1q/fJZrtMPOTmcUcWZbBK+ua6fBHOLwsgxK3lTsXVdLmj/Q5/6IZRcmRtW2dAZ5Z2TDgdRt7wqxv7WViQRrlGTbuOmUMt7yzkc7ta+EUYE55Jj+cWohBL0tZhRDiUJMykc2LL77IJZdcwh/+8AeOPfZYYrEYa9euTbbH43FOOeUUPB4Pn3/+OU1NTfzoRz/CaDTyhz/8YRB7LvalaEzl7Y1t3Pn+Znbkx31nUxuZNiN/+s64vSbIPXZEFnctquy3MSEYVZk7Kocp+WnENZV6b4i2QASbWY9O9/XBUbbDTLbDzOzyTDr9Ea59Yx2PLh64HNjo3J396wnHCUb3vEmievuuU0VROKwknf87ZxI1XQF6I3EKXBaK3FbSvkGQKYQQYuhRNG1v5cMPDrFYjNLSUm677TYuvvjiAc956623OPXUU2lsbCQ3NxeARx55hOuuu462tjZMJtOB7LLYT7a09XLhMyuIDlCBYWKeiz+dPhbXABsLIFEt4Y2Nbfz8pTV4Q7Hk8dPH5nLHSRV0B2M88VUtCze3YdTrOHN8HudMymdM7p6DQl8gwpaOAC29YcwGPfkuE+3+KFe/uq7fuaXpNh747jiMOoXa7iCxuMpbm9p4elk9lbtsntjhuQum8r2J+d/kbRFCCHGISYkRuOXLl9PQ0IBOp2Py5Mk0NzczadIk7r33XsaNGwfA4sWLGT9+fDJ4A5g3bx5XXHEF69atY/LkyQNeOxwOEw6H+xwzm82YzZIc9WC0trlnwOANYHWTjwZvaI8BnNlo4NTRuYy81M6mtkSlhtE5TsoybDT5wpz15NI+mxzu+3Arb25o4R8/mEzFAEHc1rZe/rGsnj99XJVcn1aRY+eBM8bz0Olj+O27W+gKRtHrFA4vSeeq2WU0+8L86eOtvLCqCbNBx8hsOz85rISltV28sKY5ee3hmbY95qcTQgghUmLxTFVVYmfgrbfeyk033cTrr79Oeno6Rx99NJ2dnQA0Nzf3Cd6A5OPm5mb25M477yQtLa3P15133rmf7kR8W75dRs52p8Eeg7sdTAYd4/JczC7LYEKei+quICsbvGzr9OM09//vsL6ll48GyPUG8M6WNn733pY+mws2tvo55x/L0Bv0PP79STxx7iSe+sFk7jhpNL5onAv/tZynlzcQjqv4wjEafSHuXlTJzJJ0yrev4ZtR7OYf501hXN7ed8AKIYQ4dA3qCNz111/P3XffvddzNmzYgLo9j9aNN97IWWedBcATTzxBYWEhzz//PJdddtl/3YcbbriBq6++us8xGX07eI3dyxq3TJuJTNvXrwnb2u7ntnc38e+1zWgayaS6vzluBE8sqWVDa9+8a6+sa+a8KQU4dxnZW9fs488fb2Mg3aEoH23t4Jqjh1PIzhQga5p6WNvSt35roy9MutXI6+tb+Of5kwlFVfLSLDR0Bbn42ZWY9DpOH+dhbK6DogE2YQghhDg0DWoAd8011zB//vy9nlNeXk5TUxMAY8aMSR43m82Ul5dTW1sLgMfjYcmSJX2e29LSkmzbE5kuTS3lGTamF7n5qq67X9slhxVTsJecaZDYBPH4klpeWtN3VLbdH+G6NzZw9ymjufb1DX3aDHodu5c0jcRUtuwlwe7qJl+/Y59tG3gkrysY5aOqTnSKQn6ahZ+/tIbPqruS7U8tq+fcSfn89oSRX7vTVgghxKFhUAO47OxssrOzv/a8qVOnYjab2bRpE7NnzwYgGo1SXV1NSUkJALNmzeL3v/89ra2t5OTkALBw4UJcLlefwE+ktgy7iRuPH8ELq5p4dV0zvnCMYreVn8wsZnZ5xtc+f0t7L09+VdfnWCiq4rIYafdHaPCGKEyzUO8NJdt/MDkfh7nvyJ5Rr6Msw0pNV5CBSpGOGKAO696KztuMOox6hdfWNfcJ3nZ4ZmUjJ4/O3WsAFwxGWN3m560Nraxu8jIs084Z4zxUZNnJdEquOCGEGEpSYhODy+Xi8ssv55ZbbqGoqIiSkhLuvfdeAM4++2wA5s6dy5gxY7jgggu45557aG5u5qabbmLBggUywjbEFKRZ+fnsMs6akEckruI0G/YaHO0qGFXp3m0dXSimku0w0RPWUe8N4XGZaQ9EiKsas8symFmc3uf8Tn8ERYHLZpXywCdVgEJHYGfdVJtRxwkjErne/OEYncEoBp3C6WNz+d3CzcmAT6ckAsG4qnHupAI8DjP/WjFwXjiAp5fXc+KoLGzmgaeJP6ju4tynltG7y5q8Bz/dxhPnTuI7o3Ox72FzhxBCiNSTEgEcwL333ovBYOCCCy4gGAwyc+ZMFi1aRHp64perXq/n9ddf54orrmDWrFnY7XYuvPBCbr/99kHuudgfdDqFwq+ZLh2Iw6wn12mmpafvzuMOf4Qch4kjyzJQ0HBZjJw+NpcZxel9SlnVdQe5Y+Fmljd4OWtCHkeWZfLSmkZynRba/RFcFgMPnzWBsblOltV388SSOtY0+bCZ9Jw4Kod3Lj2MMx5fgtNiRK8ohOMq4zxOfja7jFBMpTe857qmvnCMcFxloDG4tU0+fvnKuj7BG0AkrrHgxbVUXO5gcqH7P36/hBBCHJxSIg+cEPuKqqrc/3EVt7yzuV9bjsPEkz+YzL/XNKFpGutaeumNxLht3iiOHZ5NXFO5871KXt+ws/TVrJJ0JuS56AnHqMh1kOe0MDrLzsrmHn756tp+u2JHZjv49dHl/GtlI209YcbluVBVjbc3tXLDcSP4YEsb//NJ9YB9v2XuSH59zPAB297f3MYJj32xx/v+9/zpnL69NFg8Hkevl/qpQgiRylJmBE6IfUGn03H2xHy6glEe+6KGQCQx7Tne4+SOkyp4ZHE1m9v6bk64Y+EWhmXaAVi4pa1P2+KaLhbXdGHQKfz6mOFMKkjDF4zyyOLqAVOabGzpYXmDj9quAJoGr65rTqYhuf3dzfzxO2P4vyV19Ow2EleQZuGkipw93lckvueKDgChWJw1jV4+2dbJ+1vacVuNnD0xn1HZdsq235sQQojUIQGcOOQUp9u48dgRnD0xn9beCFajjgyrkd+8uZEGX6jf+YFonMp2P4Vp1n5luHaIqRqN2zc+tAcirG0euJRWJK7xYWU7Jr2e9S19zwlE4zT7wrx80Qzu+2ArC7e0YdQpnD7Ww4IjyvaaFy7XacZtMdIdivZrM+gVSjNsfO8fy/rsnH3iqzp+ffQwLp9VIkGcEEKkGAngxCHJajYwMT8t+XhZfTcNvhCapqFqiQ0Gyi65Q3rCMZwWA26rke5g/yAJEtOjADpFwahXiMY1wjGVYDROJK5i1usw6BQsRj3+yMAJibuCUU4d6+HR742nuSeMokCR29pvF+zuRmRY+M1xw7n2jQ392q6aXcbibZ0Dpj2598OtzBuVLQGcEEKkmJSoxCDE/ua2GNArCg3eMDVdQRq8IfyROKqmEVc18pxmWnpCfHech9gAeUNynWbGehIBnMdp5siyTAKRODVdAZp8YTr8URp9YQIxlcOK3WztSEyhRuIqkbiKun0p6vCsRCCVYTczxuNidK7ra4M3AKfNwnfHefjHDyYzpSANi1FHRY6dB787jgunF3Hj2xv3+NzX1rfssU0IIcTBSUbgxCFPVTXqvEGOG5HFnz9JVFcIx6AnHCTXaWJWSTpvb2rjrY2tfGesh5Mqcli0pZ24pqEA4/Nc/PqYYRSkJXarWox6fji1kNfWt7D70rTTx+ai1ymJ9CKBKD2RGGhgNxs4siyDYVn/+UhYe2+Iqs4g61t6cVsMPHHuJOKqhlGvMNbjYnl9N8HontfI9Yb3XJ5MCCHEwUl2oYpDXk1ngIueXclhJenYTHqeWlpPvTeEy6Ln9LEezp6Yzw1vbkjmbxvncXLsiCyGZ9pJsxgpTLPgsvYdJVte383SOi+NviBLartxmg0cMyKL2q4gOiVR9ut/Pq6iIxDFqFc4YWQ2p43JZUaxm1E5ey4XtruG7gDPrmriN29uILJ904ROgSuPLOeKw0sYnuVgW0cvFz27io+qOge8xjMXTOWcifn/3ZsnhBBiUMgInDjkNfpC+MIx3t3cRkGahZ8cVozLbCAQjfPS6iYm5Pv7VFtY29zD2uYeHjpzPGP2UJu1Jxzjr1/WkOcyMyzTRjim8s+l9YTjKm3+CHedVMGvjh6GyaBD2X7Nv3xeTV13LtceY8eg/2arG9a19PKr19b3OaZqcP/HVUzMdzE8y0FZpoPrjxvB4polySBvhxnFbsbm9q8aIYQQ4uAmAZw45O0a0jR4Qzy7shEAfyRObVeQcycnpkp3H6pu643s8ZrZDjM6BZp8YZp8O5MGx1WNUCROIKbyj2X1/Z73eU0XHYEouc6vryzRE4z2Kwu2q0cWV3NkWQZlmXZmFrp5/eKZ/OmjrXxc1YHbYuSHUwv54dRCxnr2vLtVCCHEwUkCOHHIy3dZsJv0yXxsO+gVsBp1GPW6fsEbQLbDtMdrlritnDAym3c29c0bpyhw2lgPqxv7F7sHsBh0GL7h1iJfONanZuvuGr2hZGUHt93E8SOzqchx0O6PYNApjMy0YTLJR4AQQqQi2YUqDnlFbisLjihD2e24Sa/jV0cP49NtHf2eU5JupSx9z6W87GYDPzuijB9MKsBuSlQ9sJv0/GhqERfPLOLz6oHXo31njIdM+zer65ptMzIxf8+jZ2M9TjLtfQO0QreVSQVpjMtzSfAmhBApTD7BxSFPr1M4eXQOBWkWnl7eQF13gHyXhfOnFFLktnDfh1V9plBHZNm5Ze4ocpyWvV7X47Jw5ZxyzpyQRyAax27UU+i20u4Pc3hpBp/tFsSN9Tg5bmTWN+63yWTg3MkFPL6klsBuu0wVBX4+u5z8tIEqpwohhEh1sgtViF0EIjF6I4lgy25O/H3jC0ap6Q7SFYzgNBspSrOStZfp02+itTfM2qYe3tjQQjSucvLoXCbmu8hz7T0ojKsale1+vqztorYryGljcqnzBrn29fVsbE0k6i1xW7j9xApOHJlDtuubjeYJIYRILRLACTGIdvz327Xqw56oqsaHVR389q0NfXaTfnech9PHemjtDRPXEkmFx++l7JYQQojUJwGcECmiujPA/GdW9NtsAYlp3Qe/O+4br58TQgiR2mQTgxApYmtHYMDgDWBLu5/GXdKVCCGEGNokgBMiRfSGo3ttD8UGDu6EEEIMPRLACZEiyjL2XCfVbtKTZZPpUyGEOFRIACdEiihJtzKnPHPAth9OKaR4L3nphBBCDC2yiUGIFNLkC/HcykZeXtdEbzhOjsPEhdOKOGFkDuk242B3TwghxAEiAZwQKUZVNeq9QSJxFbvJ8LW544QQQgw9EsAJIYQQQqQYWQMnhBBCCJFiJIATQgghhEgxEsAJIYQQQqQYCeCEEEIIIVKMBHBCCCGEEClGAjghhBBCiBQjAZwQQgghRIqRAE4IIYQQIsVIACeEEEIIkWIkgBNCCCGESDESwAkhhBBCpBgJ4IQQQgghUowEcEIIIYQQKUYCuL0Ih8PceuuthMPhwe7Kfif3OjTJvQ5Ncq9CCEXTNG2wO3Gw8vl8pKWl4fV6cblcg92d/UrudWiSex2a5F6FEDICJ4QQQgiRYiSAE0IIIYRIMRLACSGEEEKkGAng9sJsNnPLLbdgNpsHuyv7ndzr0CT3OjTJvQohZBODEEIIIUSKkRE4IYQQQogUIwGcEEIIIUSKkQBOCCGEECLFSAC3B2+88QYzZ87EarWSnp7OGWec0ae9traWU045BZvNRk5ODr/+9a+JxWKD09l9JBwOM2nSJBRFYeXKlX3aVq9ezZFHHonFYqGoqIh77rlncDr5LVRXV3PxxRdTVlaG1Wpl2LBh3HLLLUQikT7nDYV7BfjLX/5CaWkpFouFmTNnsmTJksHu0rd25513Mn36dJxOJzk5OZxxxhls2rSpzzmhUIgFCxaQmZmJw+HgrLPOoqWlZZB6vO/cddddKIrCVVddlTw2lO61oaGBH/7wh2RmZmK1Whk/fjxLly5Ntmuaxs0330xeXh5Wq5Xjjz+eLVu2DGKPhRhcEsAN4MUXX+SCCy7gxz/+MatWreKzzz7jvPPOS7bH43FOOeUUIpEIn3/+OU8++SR///vfufnmmwex19/etddeS35+fr/jPp+PuXPnUlJSwrJly7j33nu59dZbeeyxxwahl/+9jRs3oqoqjz76KOvWreP+++/nkUce4Te/+U3ynKFyr88++yxXX301t9xyC8uXL2fixInMmzeP1tbWwe7at/LRRx+xYMECvvjiCxYuXEg0GmXu3Ln4/f7kOb/85S957bXXeP755/noo49obGzkzDPPHMRef3tfffUVjz76KBMmTOhzfKjca1dXF0cccQRGo5G33nqL9evX88c//pH09PTkOffccw8PPPAAjzzyCF9++SV2u5158+YRCoUGsedCDCJN9BGNRrWCggLtb3/72x7PefPNNzWdTqc1Nzcnjz388MOay+XSwuHwgejmPvfmm29qFRUV2rp16zRAW7FiRbLtf//3f7X09PQ+93bddddpo0aNGoSe7lv33HOPVlZWlnw8VO51xowZ2oIFC5KP4/G4lp+fr915552D2Kt9r7W1VQO0jz76SNM0Tevu7taMRqP2/PPPJ8/ZsGGDBmiLFy8erG5+Kz09PdqIESO0hQsXakcddZR25ZVXapo2tO71uuuu02bPnr3HdlVVNY/Ho917773JY93d3ZrZbNb+9a9/HYguCnHQkRG43SxfvpyGhgZ0Oh2TJ08mLy+Pk046ibVr1ybPWbx4MePHjyc3Nzd5bN68efh8PtatWzcY3f5WWlpauOSSS3jqqaew2Wz92hcvXsycOXMwmUzJY/PmzWPTpk10dXUdyK7uc16vl4yMjOTjoXCvkUiEZcuWcfzxxyeP6XQ6jj/+eBYvXjyIPdv3vF4vQPJ7uGzZMqLRaJ97r6iooLi4OGXvfcGCBZxyyil97gmG1r2++uqrTJs2jbPPPpucnBwmT57MX//612T7tm3baG5u7nOvaWlpzJw5M+XuVYh9RQK43VRVVQFw6623ctNNN/H666+Tnp7O0UcfTWdnJwDNzc19gjcg+bi5ufnAdvhb0jSN+fPnc/nllzNt2rQBzxlK97uryspKHnzwQS677LLksaFwr+3t7cTj8QHvI1Xu4ZtQVZWrrrqKI444gnHjxgGJ75HJZMLtdvc5N1Xv/ZlnnmH58uXceeed/dqG0r1WVVXx8MMPM2LECN555x2uuOIKfvGLX/Dkk08CO//vDfWfaSH+E4dMAHf99dejKMpev3askQK48cYbOeuss5g6dSpPPPEEiqLw/PPPD/JdfHPf9H4ffPBBenp6uOGGGwa7y/+1b3qvu2poaODEE0/k7LPP5pJLLhmknotvY8GCBaxdu5ZnnnlmsLuyX9TV1XHllVfy9NNPY7FYBrs7+5WqqkyZMoU//OEPTJ48mUsvvZRLLrmERx55ZLC7JsRByzDYHThQrrnmGubPn7/Xc8rLy2lqagJgzJgxyeNms5ny8nJqa2sB8Hg8/Xb07dj55fF49mGv/3vf9H4XLVrE4sWL+5WpmTZtGueffz5PPvkkHo+n3862g+l+v+m97tDY2MgxxxzD4Ycf3m9zwsF+r99EVlYWer1+wPtIlXv4Oj/72c94/fXX+fjjjyksLEwe93g8RCIRuru7+4xMpeK9L1u2jNbWVqZMmZI8Fo/H+fjjj3nooYd45513hsy95uXl9fnMBRg9ejQvvvgisPP/XktLC3l5eclzWlpamDRp0gHrpxAHlcFehHew8Xq9mtls7rOJIRKJaDk5Odqjjz6qadrOTQwtLS3Jcx599FHN5XJpoVDogPf526ipqdHWrFmT/HrnnXc0QHvhhRe0uro6TdN2LuyPRCLJ591www0pt7Bf0zStvr5eGzFihHbuuedqsVisX/tQudcZM2ZoP/vZz5KP4/G4VlBQkPKbGFRV1RYsWKDl5+drmzdv7te+Y2H/Cy+8kDy2cePGlFzY7/P5+vzfXLNmjTZt2jTthz/8obZmzZohda8/+MEP+m1iuOqqq7RZs2ZpmrZzE8N9992XbN/xWS2bGMShSgK4AVx55ZVaQUGB9s4772gbN27ULr74Yi0nJ0fr7OzUNE3TYrGYNm7cOG3u3LnaypUrtbffflvLzs7WbrjhhkHu+be3bdu2frtQu7u7tdzcXO2CCy7Q1q5dqz3zzDOazWZLBrSpor6+Xhs+fLh23HHHafX19VpTU1Pya4ehcq/PPPOMZjabtb///e/a+vXrtUsvvVRzu919dk6noiuuuEJLS0vTPvzwwz7fv0AgkDzn8ssv14qLi7VFixZpS5cu1WbNmpUMBFLdrrtQNW3o3OuSJUs0g8Gg/f73v9e2bNmiPf3005rNZtP++c9/Js+56667NLfbrb3yyiva6tWrtdNPP10rKyvTgsHgIPZciMEjAdwAIpGIds0112g5OTma0+nUjj/+eG3t2rV9zqmurtZOOukkzWq1allZWdo111yjRaPRQerxvjNQAKdpmrZq1Spt9uzZmtls1goKCrS77rprcDr4LTzxxBMaMODXrobCvWqapj344INacXGxZjKZtBkzZmhffPHFYHfpW9vT9++JJ55InhMMBrWf/vSnWnp6umaz2bTvfve7fYL0VLZ7ADeU7vW1117Txo0bp5nNZq2iokJ77LHH+rSrqqr99re/1XJzczWz2awdd9xx2qZNmwapt0IMPkXTNO2Az9sKIYQQQoj/2iGzC1UIIYQQYqiQAE4IIYQQIsVIACeEEEIIkWIkgBNCCCGESDESwAkhhBBCpBgJ4IQQQgghUowEcEIIIYQQKUYCOCGEEEKIFCMBnBCHIEVRePnllwe7G0IIIf5LEsAJMYTMnz8fRVFQFAWj0Uhubi4nnHACjz/+OKqqJs9ramripJNO+lavtW7dOs466yxKS0tRFIX/+Z//+Za9F0II8U1JACfEEHPiiSfS1NREdXU1b731FscccwxXXnklp556KrFYDACPx4PZbP5WrxMIBCgvL+euu+7C4/Hsi64LIYT4hiSAE2KIMZvNeDweCgoKmDJlCr/5zW945ZVXeOutt/j73/8O9J1Cra6uRlEUnnvuOY488kisVivTp09n8+bNfPXVV0ybNg2Hw8FJJ51EW1tb8nWmT5/Ovffey7nnnvutg0EhhBD/GQnghDgEHHvssUycOJGXXnppj+fccsst3HTTTSxfvhyDwcB5553Htddey5///Gc++eQTKisrufnmmw9gr4UQQuyJYbA7IIQ4MCoqKli9evUe23/1q18xb948AK688kp+8IMf8P7773PEEUcAcPHFFydH8IQQQgwuGYET4hChaRqKouyxfcKECcl/5+bmAjB+/Pg+x1pbW/dfB4UQQnxjEsAJcYjYsGEDZWVle2w3Go3Jf+8I9HY/tutOViGEEINHAjghDgGLFi1izZo1nHXWWYPdFSGEEPuArIETYogJh8M0NzcTj8dpaWnh7bff5s477+TUU0/lRz/60T57nUgkwvr165P/bmhoYOXKlTgcDoYPH77PXkcIIUR/EsAJMcS8/fbb5OXlYTAYSE9PZ+LEiTzwwANceOGF6HT7btC9sbGRyZMnJx/fd9993HfffRx11FF8+OGH++x1hBBC9KdomqYNdieEEEIIIcQ3J2vghBBCCCFSjARwQgghhBApRgI4IYQQQogUIwGcEEIIIUSKkQBOCCGEECLFSAAnhBBCCJFiJIATQgghhEgxEsAJIYQQQqQYCeCEEEIIIVKMBHBCCCGEEClGAjghhBBCiBQjAZwQQgghRIr5/3Vt7nP1ysw7AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_embeddings(df_fabales.glycan.values.tolist(), label_list = df_fabales.Family.values.tolist())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hmm, interesting. We definitely see clear glycan clusters (remember, every point is one glycan sequence). What's even cooler is that the families Polygalaceae and Quillajaceae cluster in narrow regions of the whole plot. I wonder what differentiates their glycans from Fabaceae? <br>\n",
    "\n",
    "If you're also curious, proceed to the next function. First, we need to convert our data into a count table, with counts of every glycan in every family of Fabales. For this, you can use `glycowork.motif.processing.presence_to_matrix`, which was designed to work with tables such as `df_species`. Changing `label_col_name` to 'Family' will for instance generate a count table for all families in Fabales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_map = presence_to_matrix(df_fabales, label_col_name = 'Family').T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_11170_row0_col0, #T_11170_row0_col1, #T_11170_row0_col2, #T_11170_row0_col3, #T_11170_row1_col0, #T_11170_row1_col1, #T_11170_row1_col2, #T_11170_row1_col3, #T_11170_row2_col0, #T_11170_row2_col1, #T_11170_row2_col2, #T_11170_row2_col3, #T_11170_row3_col0, #T_11170_row3_col1, #T_11170_row3_col2, #T_11170_row3_col3, #T_11170_row4_col0, #T_11170_row4_col1, #T_11170_row4_col2, #T_11170_row4_col3 {\n",
       "  font-size: 11pt;\n",
       "  font-family: Helvetica;\n",
       "  border-collapse: collapse;\n",
       "  border: 1px solid black;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_11170\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"index_name level0\" >Family</th>\n",
       "      <th id=\"T_11170_level0_col0\" class=\"col_heading level0 col0\" >Fabaceae</th>\n",
       "      <th id=\"T_11170_level0_col1\" class=\"col_heading level0 col1\" >Fagaceae</th>\n",
       "      <th id=\"T_11170_level0_col2\" class=\"col_heading level0 col2\" >Polygalaceae</th>\n",
       "      <th id=\"T_11170_level0_col3\" class=\"col_heading level0 col3\" >Quillajaceae</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th class=\"index_name level0\" >glycan</th>\n",
       "      <th class=\"blank col0\" >&nbsp;</th>\n",
       "      <th class=\"blank col1\" >&nbsp;</th>\n",
       "      <th class=\"blank col2\" >&nbsp;</th>\n",
       "      <th class=\"blank col3\" >&nbsp;</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_11170_level0_row0\" class=\"row_heading level0 row0\" >Apif(a1-2)Xyl(b1-2)[Glc6Ac(b1-4)]Glc</th>\n",
       "      <td id=\"T_11170_row0_col0\" class=\"data row0 col0\" >1</td>\n",
       "      <td id=\"T_11170_row0_col1\" class=\"data row0 col1\" >0</td>\n",
       "      <td id=\"T_11170_row0_col2\" class=\"data row0 col2\" >0</td>\n",
       "      <td id=\"T_11170_row0_col3\" class=\"data row0 col3\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_11170_level0_row1\" class=\"row_heading level0 row1\" >Ara(a1-2)Ara(a1-6)GlcNAc</th>\n",
       "      <td id=\"T_11170_row1_col0\" class=\"data row1 col0\" >4</td>\n",
       "      <td id=\"T_11170_row1_col1\" class=\"data row1 col1\" >0</td>\n",
       "      <td id=\"T_11170_row1_col2\" class=\"data row1 col2\" >0</td>\n",
       "      <td id=\"T_11170_row1_col3\" class=\"data row1 col3\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_11170_level0_row2\" class=\"row_heading level0 row2\" >Ara(a1-2)Glc(b1-2)Ara</th>\n",
       "      <td id=\"T_11170_row2_col0\" class=\"data row2 col0\" >1</td>\n",
       "      <td id=\"T_11170_row2_col1\" class=\"data row2 col1\" >0</td>\n",
       "      <td id=\"T_11170_row2_col2\" class=\"data row2 col2\" >0</td>\n",
       "      <td id=\"T_11170_row2_col3\" class=\"data row2 col3\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_11170_level0_row3\" class=\"row_heading level0 row3\" >Ara(a1-2)GlcA</th>\n",
       "      <td id=\"T_11170_row3_col0\" class=\"data row3 col0\" >3</td>\n",
       "      <td id=\"T_11170_row3_col1\" class=\"data row3 col1\" >0</td>\n",
       "      <td id=\"T_11170_row3_col2\" class=\"data row3 col2\" >0</td>\n",
       "      <td id=\"T_11170_row3_col3\" class=\"data row3 col3\" >0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_11170_level0_row4\" class=\"row_heading level0 row4\" >Ara(a1-2)[Glc(b1-6)]Glc</th>\n",
       "      <td id=\"T_11170_row4_col0\" class=\"data row4 col0\" >1</td>\n",
       "      <td id=\"T_11170_row4_col1\" class=\"data row4 col1\" >0</td>\n",
       "      <td id=\"T_11170_row4_col2\" class=\"data row4 col2\" >0</td>\n",
       "      <td id=\"T_11170_row4_col3\" class=\"data row4 col3\" >0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#| echo: false\n",
    "df_map2 = df_map.style.set_properties(**{'font-size': '11pt', 'font-family': 'Helvetica','border-collapse': 'collapse','border': '1px solid black'})\n",
    "style = df_map2.export()\n",
    "df_map2.data.head().style.use(style)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Okay, we're ready for some heatmaps! In `glycowork.motif.analysis.get_heatmap`, we have a function which...makes heatmaps.<br>\n",
    "\n",
    "Specifically, it will generate clustermaps, that are aiming to cluster samples based on their glycan profile. Calling `get_heatmap` with `df_map` without any other arguments will try to cluster the samples based on their full glycan sequences. But we also have the `motif` mode, which extracts motifs from these glycans and clusters samples based on those. For instance, you can use the `known` (curated glycan motifs) and the `exhaustive` (all observed monosaccharides and disaccharides) options. Check out the documentation for more options! <br>\n",
    "\n",
    "We can immediately see that we have a lot more *N*-linked glycans in Fabaceae, for instance based on the prominence of Trimannosylcore and Fuc(a1-3)GlcNAc. Glycans from Polygalaceae and Quillajaceae in `df_species` seem to mainly contain small molecule- and lipid-linked glycans, which of course are quite different from *N*-linked glycans and are more similar to each other than to glycans from Fabaceae in `df_species`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_heatmap(df_map, motifs = True, feature_set = ['exhaustive'], datatype = 'presence',\n",
    "            yticklabels = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's say you're interested in a specific glycan from Fabales, `GlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)][Xyl(b1-2)]Man(b1-4)GlcNAc(b1-4)[Fuc(a1-3)]GlcNAc`. Finding out more about it could be annoying (try to Google anything more complex than a short motif and you run into problems). That's why we have `glycowork.motif.query.get_insight`, a function that returns some metadata about that glycan. The nice thing is that you don't need to bother with database IDs or notational ambiguity, as `glycowork` will convert that glycan into a graph behind the scenes and search our databases."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's say you develop an acute interest in the distribution of xylose in plant glycans. In such a situation, one option for further inquiry would be `glycowork.motif.analysis.characterize_monosaccharide`. This neat little function allows you to get a sense of what a particular monosaccharide is typically directly connected to and which modifications it can acquire. Further, you can filter the results to any taxonomic level you're interested in! (as long as it's in `df_species` or your dataset of interest of course.) <br>\n",
    "So, for xylose in plants, we immediately see Man (in M3X/M3FX structures) and Glc/Xyl (Xyloglucans) as prominent neighbors. Additionally, we note that xylose in plant glycans can be methylated, which is a rather typical modification in plant glycans in general. <br>\n",
    "There is quite a bit more that you can do with `characterize_monosaccharide`, so have a look at its documentation for all the options!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "characterize_monosaccharide('Xyl', rank = 'Kingdom', focus = 'Plantae', modifications = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To show you the true power of `characterize_monosaccharide` we'll switch gears to bacteria and have a look at how they handle their glucose connections. This is a lot more diverse than with xylose! Note how we put `thresh` to 50 (from its default value of 10), as otherwise the plot would become illegible with all the rare modifications and pairings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "characterize_monosaccharide('Glc', rank = 'Kingdom', mode = 'sugarbond',\n",
    "                            focus = 'Bacteria', modifications = True, thresh = 50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And that's just a super-brief glimpse at the really cool functions contained in `glycowork`! The rest of the documentation describes all functions and what they're good for. Be sure to check out more, suggest improvements/fixes, and maybe even contribute something yourself. We are looking forward to your discoveries!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "import nbdev; nbdev.nbdev_export()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}