diff --git a/notebooks/shexer4wikipathways.ipynb b/notebooks/shexer4wikipathways.ipynb new file mode 100644 index 0000000..7b5ef7e --- /dev/null +++ b/notebooks/shexer4wikipathways.ipynb @@ -0,0 +1,4347 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Create a PlantUML diagram for [WikiPathways](https://www.wikipathways.org/) RDF\n", + "\n", + "\n", + " \"Open\n", + "" + ], + "metadata": { + "id": "kAo2OQx2hbJ-" + } + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "AI6-NRXxdQFg", + "outputId": "2aae0244-7eed-47c3-a5b7-0f1b67ebe34b" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting shexer\n", + " Downloading shexer-2.5.4-py3-none-any.whl.metadata (28 kB)\n", + "Requirement already satisfied: Flask in /usr/local/lib/python3.10/dist-packages (from shexer) (2.2.5)\n", + "Collecting Flask-Cors (from shexer)\n", + " Downloading Flask_Cors-4.0.1-py2.py3-none-any.whl.metadata (5.5 kB)\n", + "Collecting rdflib (from shexer)\n", + " Downloading rdflib-7.0.0-py3-none-any.whl.metadata (11 kB)\n", + "Collecting SPARQLWrapper (from shexer)\n", + " Downloading SPARQLWrapper-2.0.0-py3-none-any.whl.metadata (2.0 kB)\n", + "Collecting wlighter (from shexer)\n", + " Downloading wlighter-1.0.1.tar.gz (5.1 kB)\n", + " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "Collecting plantuml (from shexer)\n", + " Downloading plantuml-0.3.0-py3-none-any.whl.metadata (2.5 kB)\n", + "Collecting python-xz (from shexer)\n", + " Downloading python_xz-0.5.0-py3-none-any.whl.metadata (8.5 kB)\n", + "Requirement already satisfied: Werkzeug>=2.2.2 in /usr/local/lib/python3.10/dist-packages (from Flask->shexer) (3.0.4)\n", + "Requirement already satisfied: Jinja2>=3.0 in /usr/local/lib/python3.10/dist-packages (from Flask->shexer) (3.1.4)\n", + "Requirement already satisfied: itsdangerous>=2.0 in /usr/local/lib/python3.10/dist-packages (from Flask->shexer) (2.2.0)\n", + "Requirement already satisfied: click>=8.0 in /usr/local/lib/python3.10/dist-packages (from Flask->shexer) (8.1.7)\n", + "Requirement already satisfied: httplib2 in /usr/local/lib/python3.10/dist-packages (from plantuml->shexer) (0.22.0)\n", + "Collecting isodate<0.7.0,>=0.6.0 (from rdflib->shexer)\n", + " Downloading isodate-0.6.1-py2.py3-none-any.whl.metadata (9.6 kB)\n", + "Requirement already satisfied: pyparsing<4,>=2.1.0 in /usr/local/lib/python3.10/dist-packages (from rdflib->shexer) (3.1.2)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from wlighter->shexer) (2.32.3)\n", + "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from 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"\u001b[?25hDownloading Flask_Cors-4.0.1-py2.py3-none-any.whl (14 kB)\n", + "Downloading plantuml-0.3.0-py3-none-any.whl (5.8 kB)\n", + "Downloading python_xz-0.5.0-py3-none-any.whl (20 kB)\n", + "Downloading rdflib-7.0.0-py3-none-any.whl (531 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m531.9/531.9 kB\u001b[0m \u001b[31m13.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading SPARQLWrapper-2.0.0-py3-none-any.whl (28 kB)\n", + "Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.7/41.7 kB\u001b[0m \u001b[31m1.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hBuilding wheels for collected packages: wlighter\n", + " Building wheel for wlighter (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for wlighter: filename=wlighter-1.0.1-py3-none-any.whl size=5841 sha256=cadca99249356452f9fb660e5e1db15984065868aff4d021c46fd0ad89e02782\n", + " Stored in directory: /root/.cache/pip/wheels/fb/ad/32/6ddbe06c35ae42613142a23fce188fe01d4a8285a2aec47db8\n", + "Successfully built wlighter\n", + "Installing collected packages: python-xz, isodate, wlighter, rdflib, plantuml, SPARQLWrapper, Flask-Cors, shexer\n", + "Successfully installed Flask-Cors-4.0.1 SPARQLWrapper-2.0.0 isodate-0.6.1 plantuml-0.3.0 python-xz-0.5.0 rdflib-7.0.0 shexer-2.5.4 wlighter-1.0.1\n" + ] + } + ], + "source": [ + "pip install shexer" + ] + }, + { + "cell_type": "code", + "source": [ + "from shexer.shaper import Shaper\n", + "from shexer.consts import TURTLE" + ], + "metadata": { + "id": "oJv2onkrdelh" + }, + "execution_count": 2, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Namespace-prefix pair to prettify the results\n", + "namespaces_dict = {\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\": \"rdf\",\n", + " \"http://example.org/\": \"ex\",\n", + " \"http://weso.es/shapes/\": \"\",\n", + " \"http://www.w3.org/2001/XMLSchema#\": \"xsd\",\n", + " \"http://www.w3.org/2002/07/owl#\" : \"owl\"\n", + " }" + ], + "metadata": { + "id": "BULYg1HJdkJv" + }, + "execution_count": 3, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "# Get WikiPathways RDF" + ], + "metadata": { + "id": "eBa3CDaXdpgh" + } + }, + { + "cell_type": "code", + "source": [ + "!wget https://data.wikipathways.org/current/rdf/wikipathways-20240810-rdf-wp.zip" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "2doBJ3M4dnKe", + "outputId": "667258a5-14a1-4ae2-9ce5-6eb7edf9df39" + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "--2024-08-27 06:13:06-- https://data.wikipathways.org/current/rdf/wikipathways-20240810-rdf-wp.zip\n", + "Resolving data.wikipathways.org (data.wikipathways.org)... 185.199.108.153, 185.199.109.153, 185.199.110.153, ...\n", + "Connecting to data.wikipathways.org (data.wikipathways.org)|185.199.108.153|:443... connected.\n", + "HTTP request sent, awaiting response... 200 OK\n", + "Length: 14068286 (13M) [application/zip]\n", + "Saving to: ‘wikipathways-20240810-rdf-wp.zip’\n", + "\n", + "wikipathways-202408 100%[===================>] 13.42M 80.4MB/s in 0.2s \n", + "\n", + "2024-08-27 06:13:07 (80.4 MB/s) - ‘wikipathways-20240810-rdf-wp.zip’ saved [14068286/14068286]\n", + "\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!unzip wikipathways-20240810-rdf-wp.zip" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "naRaKBzmd2aB", + "outputId": "e30a2987-3c62-4317-d6d7-fe139f24d2d8" + }, + "execution_count": 6, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Archive: wikipathways-20240810-rdf-wp.zip\n", + " creating: wp/\n", + " inflating: wp/WP508.ttl \n", + " inflating: wp/WP4206.ttl \n", + " inflating: wp/WP427.ttl \n", + " 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'/content/wp/WP823.ttl',\n", + " '/content/wp/WP793.ttl',\n", + " '/content/wp/WP3941.ttl',\n", + " '/content/wp/WP5470.ttl',\n", + " '/content/wp/WP3250.ttl',\n", + " '/content/wp/WP4698.ttl',\n", + " '/content/wp/WP2037.ttl',\n", + " '/content/wp/WP240.ttl',\n", + " '/content/wp/WP4922.ttl',\n", + " '/content/wp/WP211.ttl',\n", + " '/content/wp/WP65.ttl',\n", + " '/content/wp/WP313.ttl',\n", + " '/content/wp/WP210.ttl',\n", + " '/content/wp/WP465.ttl',\n", + " '/content/wp/WP232.ttl',\n", + " '/content/wp/WP164.ttl',\n", + " '/content/wp/WP4239.ttl',\n", + " '/content/wp/WP4493.ttl',\n", + " '/content/wp/WP4659.ttl',\n", + " '/content/wp/WP3888.ttl',\n", + " '/content/wp/WP4726.ttl',\n", + " '/content/wp/WP1122.ttl',\n", + " '/content/wp/WP5240.ttl',\n", + " '/content/wp/WP128.ttl',\n", + " '/content/wp/WP192.ttl',\n", + " '/content/wp/WP2079.ttl',\n", + " '/content/wp/WP3236.ttl',\n", + " '/content/wp/WP2332.ttl',\n", + " '/content/wp/WP1742.ttl',\n", + " '/content/wp/WP5035.ttl',\n", + " '/content/wp/WP3226.ttl',\n", + " '/content/wp/WP5049.ttl',\n", + " '/content/wp/WP1000.ttl',\n", + " '/content/wp/WP1471.ttl',\n", + " '/content/wp/WP253.ttl',\n", + " '/content/wp/WP3158.ttl',\n", + " '/content/wp/WP312.ttl',\n", + " '/content/wp/WP1006.ttl',\n", + " '/content/wp/WP5183.ttl',\n", + " '/content/wp/WP2864.ttl',\n", + " '/content/wp/WP5115.ttl',\n", + " '/content/wp/WP927.ttl',\n", + " '/content/wp/WP3674.ttl',\n", + " '/content/wp/WP4931.ttl',\n", + " '/content/wp/WP2886.ttl',\n", + " '/content/wp/WP2623.ttl',\n", + " '/content/wp/WP661.ttl',\n", + " '/content/wp/WP212.ttl',\n", + " '/content/wp/WP5034.ttl',\n", + " '/content/wp/WP2860.ttl',\n", + " '/content/wp/WP3856.ttl',\n", + " '/content/wp/WP2911.ttl',\n", + " '/content/wp/WP981.ttl',\n", + " '/content/wp/WP5142.ttl',\n", + " '/content/wp/WP492.ttl',\n", + " '/content/wp/WP4147.ttl',\n", + " '/content/wp/WP4155.ttl',\n", + " '/content/wp/WP1495.ttl',\n", + " '/content/wp/WP887.ttl',\n", + " '/content/wp/WP291.ttl',\n", + " '/content/wp/WP5271.ttl',\n", + " '/content/wp/WP2328.ttl',\n", + " '/content/wp/WP2059.ttl',\n", + " '/content/wp/WP143.ttl',\n", + " '/content/wp/WP4301.ttl',\n", + " '/content/wp/WP3208.ttl',\n", + " '/content/wp/WP4722.ttl',\n", + " '/content/wp/WP2371.ttl',\n", + " ...]" + ] + }, + "metadata": {}, + "execution_count": 9 + } + ] + }, + { + "cell_type": "code", + "source": [ + "shaper = Shaper(all_classes_mode=True,\n", + " graph_list_of_files_input=files,\n", + " input_format=TURTLE,\n", + " namespaces_dict=namespaces_dict) # Default rdf:type" + ], + "metadata": { + "id": "YwJPW915eMhP" + }, + "execution_count": 11, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "result = shaper.shex_graph(string_output=True,\n", + " acceptance_threshold=0.1,\n", + " to_uml_path=\"wikipathways-20240810-rdf-wp.png\")\n", + "print(result)\n", + "\n", + "print(\"Done!\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "fbjnSNN1eXnA", + "outputId": "089cdae8-23bc-46a3-a16d-5b33362d2980" + }, + "execution_count": 12, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "PREFIX rdf: \n", + "PREFIX ex: \n", + "PREFIX weso-s: \n", + "PREFIX xsd: \n", + "PREFIX owl: \n", + "\n", + "weso-s:Interaction\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 96.74028967557712 % obj: IRI. Cardinality: {1}\n", + " IRI *;\n", + " # 79.24106374926893 % obj: IRI. Cardinality: +\n", + " # 63.4379192899164 % obj: IRI. Cardinality: {2}\n", + " # 79.24106374926893 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 48.1405029758833 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 29.198059655279184 % obj: @weso-s:Protein. Cardinality: +\n", + " # 29.031203770598964 % obj: @weso-s:Metabolite. Cardinality: +\n", + " rdf:type [] ?;\n", + " # 65.61392644579765 % obj: . Cardinality: {1}\n", + " IRI *;\n", + " # 65.61392644579765 % obj: IRI. Cardinality: +\n", + " # 63.976330546668045 % obj: IRI. Cardinality: {1}\n", + " # 55.81415350741391 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 27.65679292668662 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 21.820277290398046 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 15.81518560566966 % obj: @weso-s:Protein. Cardinality: +\n", + " IRI *;\n", + " # 65.61392644579765 % obj: IRI. Cardinality: +\n", + " # 64.54054425981354 % obj: IRI. Cardinality: {1}\n", + " # 65.61392644579765 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 33.37977775484226 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 24.761757319296798 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 18.13740668111604 % obj: @weso-s:Protein. Cardinality: +\n", + " rdf:type [] ?;\n", + " # 10.534282863728626 % obj: . Cardinality: {1}\n", + " @weso-s:PublicationReference *\n", + " # 10.262496989713421 % obj: @weso-s:PublicationReference. Cardinality: +\n", + "}\n", + "\n", + "\n", + "weso-s:Conversion\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI +; # 100.0 %\n", + " # 85.94056172436316 % obj: IRI. Cardinality: {2}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 92.2926192031352 % obj: @weso-s:Metabolite. Cardinality: +\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 92.03135205747877 % obj: IRI. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 93.95819725669497 % obj: IRI. Cardinality: {1}\n", + " # 96.21162638798171 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 88.52057478772043 % obj: @weso-s:Metabolite. Cardinality: +\n", + " IRI +; # 100.0 %\n", + " # 97.59960809928153 % obj: IRI. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 92.03135205747877 % obj: @weso-s:Metabolite. Cardinality: +\n", + " xsd:string ?;\n", + " # 18.90920966688439 % obj: xsd:string. Cardinality: {1}\n", + " xsd:string ?;\n", + " # 18.90920966688439 % obj: xsd:string. Cardinality: {1}\n", + " IRI *;\n", + " # 17.89679947746571 % obj: IRI. Cardinality: +\n", + " # 17.749836708033964 % obj: IRI. Cardinality: {1}\n", + " @weso-s:PublicationReference *\n", + " # 15.333115610711953 % obj: @weso-s:PublicationReference. Cardinality: +\n", + "}\n", + "\n", + "\n", + "weso-s:DirectedInteraction\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI +; # 100.0 %\n", + " # 89.52128775167785 % obj: IRI. Cardinality: {2}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 58.360423657718115 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 40.85308305369127 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 35.06711409395973 % obj: @weso-s:Protein. Cardinality: +\n", + " # 14.935507550335569 % obj: @weso-s:Interaction. Cardinality: {1}\n", + " # 14.460989932885907 % obj: @weso-s:DirectedInteraction. Cardinality: {1}\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 95.52223154362416 % obj: IRI. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 97.50419463087249 % obj: IRI. Cardinality: {1}\n", + " # 85.06449244966443 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 42.150796979865774 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 33.25555788590604 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 24.103397651006713 % obj: @weso-s:Protein. Cardinality: +\n", + " # 14.935507550335569 % obj: @weso-s:Interaction. Cardinality: {1}\n", + " # 14.460989932885907 % obj: @weso-s:DirectedInteraction. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 98.36409395973155 % obj: IRI. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 50.87300755033557 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 37.73856963087248 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 27.64261744966443 % obj: @weso-s:Protein. Cardinality: +\n", + " rdf:type [] ?;\n", + " # 16.05494966442953 % obj: . Cardinality: {1}\n", + " @weso-s:PublicationReference *;\n", + " # 14.513422818791947 % obj: @weso-s:PublicationReference. Cardinality: +\n", + " rdf:type [] ?\n", + " # 12.088401845637584 % obj: . Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "weso-s:Pathway\n", + "{\n", + " IRI +; # 100.0 %\n", + " # 65.84564860426929 % obj: IRI. Cardinality: {1}\n", + " rdf:type [] ; # 100.0 %\n", + " xsd:string +; # 100.0 %\n", + " # 65.84564860426929 % obj: xsd:string. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 65.84564860426929 % obj: IRI. Cardinality: {1}\n", + " # 57.307060755336614 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 57.25232621784346 % obj: @weso-s:Pathway. Cardinality: +\n", + " IRI +; # 100.0 %\n", + " # 64.9151614668856 % obj: IRI. Cardinality: {1}\n", + " xsd:string +; # 100.0 %\n", + " # 65.84564860426929 % obj: xsd:string. Cardinality: {1}\n", + " rdf:type [] ?;\n", + " # 53.58511220580186 % obj: . Cardinality: {1}\n", + " rdf:langString ?;\n", + " # 53.58511220580186 % obj: rdf:langString. Cardinality: {1}\n", + " IRI *;\n", + " # 53.58511220580186 % obj: IRI. Cardinality: +\n", + " # 18.199233716475096 % obj: IRI. Cardinality: {3}\n", + " # 11.631089217296115 % obj: IRI. Cardinality: {2}\n", + " @weso-s:Image *;\n", + " # 53.58511220580186 % obj: @weso-s:Image. Cardinality: {2}\n", + " IRI ?;\n", + " # 53.58511220580186 % obj: IRI. Cardinality: {1}\n", + " xsd:string ?;\n", + " # 53.58511220580186 % obj: xsd:string. Cardinality: {1}\n", + " xsd:string *;\n", + " # 52.791461412151065 % obj: xsd:string. Cardinality: +\n", + " # 51.39573070607554 % obj: xsd:string. Cardinality: {1}\n", + " IRI *;\n", + " # 52.70935960591133 % obj: IRI. Cardinality: +\n", + " # 32.731253420908594 % obj: IRI. Cardinality: {1}\n", + " # 12.370005473453748 % obj: IRI. Cardinality: {2}\n", + " @weso-s:PublicationReference *;\n", + " # 50.30103995621237 % obj: @weso-s:PublicationReference. Cardinality: +\n", + " # 14.203612479474547 % obj: @weso-s:PublicationReference. Cardinality: {1}\n", + " # 10.262725779967159 % obj: @weso-s:PublicationReference. Cardinality: {2}\n", + " rdf:type [] ?;\n", + " # 46.41488779419814 % obj: . Cardinality: {1}\n", + " IRI *;\n", + " # 46.41488779419814 % obj: IRI. Cardinality: +\n", + " # 46.41488779419814 % obj: @weso-s:Pathway. Cardinality: +\n", + " # 46.41488779419814 % obj: @weso-s:Collection. Cardinality: +\n", + " # 40.12041598248495 % obj: @weso-s:Interaction. Cardinality: +\n", + " # 36.69950738916256 % obj: @weso-s:DirectedInteraction. Cardinality: +\n", + " # 21.10016420361248 % obj: @weso-s:Stimulation. Cardinality: +\n", + " # 13.902572523262178 % obj: @weso-s:Inhibition. Cardinality: +\n", + " xsd:string *;\n", + " # 46.41488779419814 % obj: xsd:string. Cardinality: +\n", + " # 11.850027367268746 % obj: xsd:string. Cardinality: {1}\n", + " @weso-s:PublicationReference *;\n", + " # 41.65298303229338 % obj: @weso-s:PublicationReference. Cardinality: +\n", + " IRI ?;\n", + " # 34.893267651888344 % obj: IRI. Cardinality: {1}\n", + " # 34.893267651888344 % obj: @weso-s:Pathway. Cardinality: {1}\n", + " # 34.893267651888344 % obj: @weso-s:Collection. Cardinality: {1}\n", + " IRI *;\n", + " # 13.711001642036125 % obj: IRI. Cardinality: +\n", + " IRI *\n", + " # 11.083743842364532 % obj: IRI. Cardinality: +\n", + "}\n", + "\n", + "\n", + "weso-s:Collection\n", + "{\n", + " IRI ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:langString ; # 100.0 %\n", + " xsd:string ; # 100.0 %\n", + " IRI +; # 100.0 %\n", + " # 33.9632277834525 % obj: IRI. Cardinality: {3}\n", + " # 21.70582226762002 % obj: IRI. Cardinality: {2}\n", + " # 14.35137895812053 % obj: IRI. Cardinality: {4}\n", + " # 10.061287027579162 % obj: IRI. Cardinality: {5}\n", + " IRI ; # 100.0 %\n", + " # 20.326864147088866 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 20.224719101123593 % obj: @weso-s:Pathway. Cardinality: +\n", + " @weso-s:Image {2}; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " xsd:string ; # 100.0 %\n", + " xsd:string ; # 100.0 %\n", + " xsd:string *;\n", + " # 98.51889683350358 % obj: xsd:string. Cardinality: +\n", + " # 95.91419816138918 % obj: xsd:string. Cardinality: {1}\n", + " IRI *;\n", + " # 98.36567926455567 % obj: IRI. Cardinality: +\n", + " # 61.08273748723187 % obj: IRI. Cardinality: {1}\n", + " # 23.084780388151174 % obj: IRI. Cardinality: {2}\n", + " @weso-s:PublicationReference *;\n", + " # 77.732379979571 % obj: @weso-s:PublicationReference. Cardinality: +\n", + " # 13.636363636363635 % obj: @weso-s:PublicationReference. Cardinality: {1}\n", + " @weso-s:PublicationReference *;\n", + " # 61.695607763023496 % obj: @weso-s:PublicationReference. Cardinality: +\n", + " # 16.189989785495403 % obj: @weso-s:PublicationReference. Cardinality: {1}\n", + " IRI *;\n", + " # 25.587334014300307 % obj: IRI. Cardinality: +\n", + " # 14.402451481103167 % obj: IRI. Cardinality: {1}\n", + " IRI *\n", + " # 20.684371807967313 % obj: IRI. Cardinality: +\n", + " # 13.023493360572012 % obj: IRI. Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "weso-s:Metabolite\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI +; # 100.0 %\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: +\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: +\n", + " # 93.70212765957446 % obj: @weso-s:Interaction. Cardinality: +\n", + " # 92.81833060556465 % obj: @weso-s:DirectedInteraction. Cardinality: +\n", + " # 69.91162029459902 % obj: @weso-s:Conversion. Cardinality: +\n", + " # 13.761047463175121 % obj: @weso-s:Stimulation. Cardinality: +\n", + " # 11.72504091653028 % obj: @weso-s:Binding. Cardinality: +\n", + " xsd:string +; # 100.0 %\n", + " # 25.453355155482814 % obj: xsd:string. Cardinality: {1}\n", + " # 14.036006546644844 % obj: xsd:string. Cardinality: {2}\n", + " IRI +; # 100.0 %\n", + " # 23.574468085106385 % obj: IRI. Cardinality: {1}\n", + " # 13.178396072013093 % obj: IRI. Cardinality: {2}\n", + " IRI +; # 100.0 %\n", + " # 25.472995090016365 % obj: IRI. Cardinality: {1}\n", + " # 14.016366612111291 % obj: IRI. Cardinality: {2}\n", + " # 100.0 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " xsd:string +; # 100.0 %\n", + " # 25.472995090016365 % obj: xsd:string. Cardinality: {1}\n", + " # 14.016366612111291 % obj: xsd:string. Cardinality: {2}\n", + " xsd:string +; # 100.0 %\n", + " # 25.00163666121113 % obj: xsd:string. Cardinality: {1}\n", + " # 13.97708674304419 % obj: xsd:string. Cardinality: {2}\n", + " IRI *;\n", + " # 99.94762684124386 % obj: IRI. Cardinality: +\n", + " # 25.400981996726678 % obj: IRI. Cardinality: {1}\n", + " # 14.036006546644844 % obj: IRI. Cardinality: {2}\n", + " IRI *;\n", + " # 96.65466448445171 % obj: IRI. Cardinality: +\n", + " # 22.454991816693944 % obj: IRI. Cardinality: {1}\n", + " # 13.636661211129297 % obj: IRI. Cardinality: {2}\n", + " IRI *;\n", + " # 93.25040916530278 % obj: IRI. Cardinality: +\n", + " # 20.111292962356792 % obj: IRI. Cardinality: {1}\n", + " # 12.6088379705401 % obj: IRI. Cardinality: {2}\n", + " # 76.94271685761048 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 76.94271685761048 % obj: @weso-s:DataNode. Cardinality: +\n", + " IRI *;\n", + " # 87.50900163666121 % obj: IRI. Cardinality: +\n", + " # 20.150572831423897 % obj: IRI. Cardinality: {1}\n", + " # 12.445171849427169 % obj: IRI. Cardinality: {2}\n", + " IRI *;\n", + " # 87.50900163666121 % obj: IRI. Cardinality: +\n", + " # 20.078559738134206 % obj: IRI. Cardinality: {1}\n", + " # 12.438625204582651 % obj: IRI. Cardinality: {2}\n", + " IRI *;\n", + " # 85.80032733224222 % obj: IRI. Cardinality: +\n", + " # 19.456628477905074 % obj: IRI. Cardinality: {1}\n", + " # 12.039279869067103 % obj: IRI. Cardinality: {2}\n", + " IRI *;\n", + " # 81.7479541734861 % obj: IRI. Cardinality: +\n", + " # 16.759410801963995 % obj: IRI. Cardinality: {1}\n", + " # 10.854337152209492 % obj: IRI. Cardinality: {2}\n", + " # 12.772504091653028 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 12.772504091653028 % obj: @weso-s:DataNode. Cardinality: +\n", + " IRI *;\n", + " # 73.64320785597381 % obj: IRI. Cardinality: +\n", + " # 12.76595744680851 % obj: IRI. Cardinality: {1}\n", + " # 38.10147299509002 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 38.10147299509002 % obj: @weso-s:DataNode. Cardinality: +\n", + " IRI *;\n", + " # 68.85761047463174 % obj: IRI. Cardinality: +\n", + " # 11.777414075286416 % obj: IRI. Cardinality: {1}\n", + " # 57.01472995090017 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 57.01472995090017 % obj: @weso-s:DataNode. Cardinality: +\n", + " IRI *;\n", + " # 29.4468085106383 % obj: IRI. Cardinality: +\n", + " # 20.870703764320787 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 20.870703764320787 % obj: @weso-s:DataNode. Cardinality: +\n", + " @weso-s:PublicationReference *\n", + " # 19.967266775777414 % obj: @weso-s:PublicationReference. Cardinality: +\n", + "}\n", + "\n", + "\n", + "weso-s:DataNode\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " IRI +; # 100.0 %\n", + " # 23.389655206706912 % obj: IRI. Cardinality: {1}\n", + " # 14.286992929102066 % obj: IRI. Cardinality: {2}\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: +\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: +\n", + " # 56.71436953646336 % obj: @weso-s:Interaction. Cardinality: +\n", + " # 54.766143227949435 % obj: @weso-s:DirectedInteraction. Cardinality: +\n", + " # 25.155887939693493 % obj: @weso-s:Complex. Cardinality: +\n", + " # 25.155887939693493 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 15.346135868646385 % obj: @weso-s:Inhibition. Cardinality: +\n", + " # 13.761896711187136 % obj: @weso-s:Conversion. Cardinality: +\n", + " # 13.042872912792259 % obj: @weso-s:Stimulation. Cardinality: +\n", + " IRI +; # 100.0 %\n", + " # 33.7831790200193 % obj: IRI. Cardinality: {1}\n", + " # 15.17309279683351 % obj: IRI. Cardinality: {2}\n", + " xsd:string *;\n", + " # 96.85737869581216 % obj: xsd:string. Cardinality: +\n", + " # 33.536542917665315 % obj: xsd:string. Cardinality: {1}\n", + " # 15.923940608435352 % obj: xsd:string. Cardinality: {2}\n", + " xsd:string *;\n", + " # 96.77384066114388 % obj: xsd:string. Cardinality: +\n", + " # 33.72848149731983 % obj: xsd:string. Cardinality: {1}\n", + " # 15.936869113800684 % obj: xsd:string. Cardinality: {2}\n", + " IRI *;\n", + " # 96.77384066114388 % obj: IRI. Cardinality: +\n", + " # 33.731464998557975 % obj: IRI. Cardinality: {1}\n", + " # 15.933885612562529 % obj: IRI. Cardinality: {2}\n", + " # 96.77384066114388 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 72.87301224230008 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 21.851163068232673 % obj: @weso-s:Protein. Cardinality: +\n", + " # 15.199944307976887 % obj: @weso-s:Metabolite. Cardinality: +\n", + " xsd:string *;\n", + " # 96.77384066114388 % obj: xsd:string. Cardinality: +\n", + " # 33.731464998557975 % obj: xsd:string. Cardinality: {1}\n", + " # 15.933885612562529 % obj: xsd:string. Cardinality: {2}\n", + " IRI *;\n", + " # 96.70919813431722 % obj: IRI. Cardinality: +\n", + " # 33.663838970493174 % obj: IRI. Cardinality: {1}\n", + " # 15.936869113800684 % obj: IRI. Cardinality: {2}\n", + " IRI *;\n", + " # 74.64322297693754 % obj: IRI. Cardinality: +\n", + " # 25.05047089594542 % obj: IRI. Cardinality: {1}\n", + " # 12.638111244816166 % obj: IRI. Cardinality: {2}\n", + " # 57.49007985838313 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 56.504529949379936 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 11.82460990721311 % obj: @weso-s:Protein. Cardinality: +\n", + " IRI *;\n", + " # 72.89489125137987 % obj: IRI. Cardinality: +\n", + " # 23.427446222390184 % obj: IRI. Cardinality: {1}\n", + " # 12.694797768341074 % obj: IRI. Cardinality: {2}\n", + " # 52.29679870317147 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 50.15663381500304 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 17.259554662715185 % obj: @weso-s:Protein. Cardinality: +\n", + " rdf:type [] ?;\n", + " # 72.87301224230008 % obj: . Cardinality: {1}\n", + " IRI *;\n", + " # 71.30468509144431 % obj: IRI. Cardinality: +\n", + " # 22.746213439678577 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 19.78061320895448 % obj: @weso-s:Protein. Cardinality: +\n", + " IRI *;\n", + " # 38.386721430489395 % obj: IRI. Cardinality: +\n", + " # 14.581365051266495 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 14.333734448499797 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " IRI *;\n", + " # 38.33202390778992 % obj: IRI. Cardinality: +\n", + " rdf:type [] ?;\n", + " # 21.851163068232673 % obj: . Cardinality: {1}\n", + " @weso-s:PublicationReference *;\n", + " # 17.83338140085328 % obj: @weso-s:PublicationReference. Cardinality: +\n", + " rdf:type [] ?;\n", + " # 15.199944307976887 % obj: . Cardinality: {1}\n", + " IRI *;\n", + " # 14.184559386592147 % obj: IRI. Cardinality: +\n", + " # 11.696319353972532 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 11.696319353972532 % obj: @weso-s:DataNode. Cardinality: +\n", + " IRI *;\n", + " # 13.295476017622548 % obj: IRI. Cardinality: +\n", + " IRI *;\n", + " # 13.295476017622548 % obj: IRI. Cardinality: +\n", + " IRI *;\n", + " # 13.036905910315951 % obj: IRI. Cardinality: +\n", + " IRI *;\n", + " # 12.420315654430997 % obj: IRI. Cardinality: +\n", + " IRI *;\n", + " # 11.19310214513739 % obj: IRI. Cardinality: +\n", + " IRI *\n", + " # 10.460155340964466 % obj: IRI. Cardinality: +\n", + "}\n", + "\n", + "\n", + "weso-s:GeneProduct\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI +; # 100.0 %\n", + " # 26.365244799952425 % obj: IRI. Cardinality: {1}\n", + " # 15.368946906733672 % obj: IRI. Cardinality: {2}\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: +\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: +\n", + " # 47.027163650961214 % obj: @weso-s:Interaction. Cardinality: +\n", + " # 45.049733121217976 % obj: @weso-s:DirectedInteraction. Cardinality: +\n", + " # 29.604959931012946 % obj: @weso-s:Complex. Cardinality: +\n", + " # 29.604959931012946 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 16.142077640167116 % obj: @weso-s:Inhibition. Cardinality: +\n", + " # 11.831873801275666 % obj: @weso-s:Stimulation. Cardinality: +\n", + " xsd:string +; # 100.0 %\n", + " # 36.366880268811606 % obj: xsd:string. Cardinality: {1}\n", + " # 17.56939591727501 % obj: xsd:string. Cardinality: {2}\n", + " # 10.67812486061345 % obj: xsd:string. Cardinality: {3}\n", + " IRI +; # 100.0 %\n", + " # 33.22826684904622 % obj: IRI. Cardinality: {1}\n", + " # 16.779910495249705 % obj: IRI. Cardinality: {2}\n", + " # 10.571075989830357 % obj: IRI. Cardinality: {3}\n", + " xsd:string +; # 100.0 %\n", + " # 36.366880268811606 % obj: xsd:string. Cardinality: {1}\n", + " # 17.56939591727501 % obj: xsd:string. Cardinality: {2}\n", + " # 10.67812486061345 % obj: xsd:string. Cardinality: {3}\n", + " IRI +; # 100.0 %\n", + " # 36.366880268811606 % obj: IRI. Cardinality: {1}\n", + " # 17.56939591727501 % obj: IRI. Cardinality: {2}\n", + " # 10.67812486061345 % obj: IRI. Cardinality: {3}\n", + " # 100.0 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 15.73469721524257 % obj: @weso-s:Protein. Cardinality: +\n", + " IRI +; # 100.0 %\n", + " # 36.366880268811606 % obj: IRI. Cardinality: {1}\n", + " # 17.56939591727501 % obj: IRI. Cardinality: {2}\n", + " # 10.67812486061345 % obj: IRI. Cardinality: {3}\n", + " xsd:string *;\n", + " # 99.99702642025603 % obj: xsd:string. Cardinality: +\n", + " # 36.18697869430114 % obj: xsd:string. Cardinality: {1}\n", + " # 17.572369497018986 % obj: xsd:string. Cardinality: {2}\n", + " # 10.67812486061345 % obj: xsd:string. Cardinality: {3}\n", + " IRI *;\n", + " # 95.61991703712515 % obj: IRI. Cardinality: +\n", + " # 32.65733953820307 % obj: IRI. Cardinality: {1}\n", + " # 16.556892014451595 % obj: IRI. Cardinality: {2}\n", + " # 10.582970308806257 % obj: IRI. Cardinality: {3}\n", + " # 72.76349633506297 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 72.56426649221666 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 11.302576606848154 % obj: @weso-s:Protein. Cardinality: +\n", + " IRI *;\n", + " # 93.0908874648746 % obj: IRI. Cardinality: +\n", + " # 30.306724750590995 % obj: IRI. Cardinality: {1}\n", + " # 16.634205087794943 % obj: IRI. Cardinality: {2}\n", + " # 10.443212060839443 % obj: IRI. Cardinality: {3}\n", + " # 67.55081104387517 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 66.08334944022361 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 18.78410324268871 % obj: @weso-s:Protein. Cardinality: +\n", + " IRI *;\n", + " # 90.35519410041779 % obj: IRI. Cardinality: +\n", + " # 12.209518428760463 % obj: IRI. Cardinality: {2}\n", + " # 11.424493376351121 % obj: IRI. Cardinality: {1}\n", + " # 24.313474776609823 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 20.3303647095556 % obj: @weso-s:Protein. Cardinality: +\n", + " # 10.715294607413133 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " IRI *;\n", + " # 46.42204017306234 % obj: IRI. Cardinality: +\n", + " # 17.81620303602492 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 17.558988388171098 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " IRI *;\n", + " # 33.617805795506925 % obj: IRI. Cardinality: +\n", + " rdf:type [] ?;\n", + " # 15.73469721524257 % obj: . Cardinality: {1}\n", + " @weso-s:PublicationReference *\n", + " # 15.145928425935562 % obj: @weso-s:PublicationReference. Cardinality: +\n", + "}\n", + "\n", + "\n", + "weso-s:Protein\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI +; # 100.0 %\n", + " # 16.61982047329767 % obj: IRI. Cardinality: {2}\n", + " # 12.140719920210355 % obj: IRI. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: +\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: +\n", + " # 74.71212258590988 % obj: @weso-s:Interaction. Cardinality: +\n", + " # 71.50240275636958 % obj: @weso-s:DirectedInteraction. Cardinality: +\n", + " # 33.72925922567776 % obj: @weso-s:Complex. Cardinality: +\n", + " # 33.72925922567776 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 20.382627618097743 % obj: @weso-s:Inhibition. Cardinality: +\n", + " # 19.222050956569046 % obj: @weso-s:Stimulation. Cardinality: +\n", + " # 15.178166651554992 % obj: @weso-s:Catalysis. Cardinality: +\n", + " # 12.71194124580651 % obj: @weso-s:TranscriptionTranslation. Cardinality: +\n", + " # 10.9257412276725 % obj: @weso-s:Binding. Cardinality: +\n", + " xsd:string +; # 100.0 %\n", + " # 35.17091304742044 % obj: xsd:string. Cardinality: {1}\n", + " # 14.49814126394052 % obj: xsd:string. Cardinality: {2}\n", + " IRI +; # 100.0 %\n", + " # 35.76026838335298 % obj: IRI. Cardinality: {1}\n", + " # 14.5253422794451 % obj: IRI. Cardinality: {2}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 100.0 % obj: @weso-s:Protein. Cardinality: +\n", + " # 47.87378728805876 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " IRI +; # 100.0 %\n", + " # 29.739776951672862 % obj: IRI. Cardinality: {1}\n", + " # 13.645842778130385 % obj: IRI. Cardinality: {2}\n", + " xsd:string +; # 100.0 %\n", + " # 35.76026838335298 % obj: xsd:string. Cardinality: {1}\n", + " # 14.5253422794451 % obj: xsd:string. Cardinality: {2}\n", + " xsd:string +; # 100.0 %\n", + " # 35.76026838335298 % obj: xsd:string. Cardinality: {1}\n", + " # 14.5253422794451 % obj: xsd:string. Cardinality: {2}\n", + " IRI +; # 100.0 %\n", + " # 35.76026838335298 % obj: IRI. Cardinality: {1}\n", + " # 14.5253422794451 % obj: IRI. Cardinality: {2}\n", + " IRI *;\n", + " # 91.71275727627165 % obj: IRI. Cardinality: +\n", + " # 10.70813310363587 % obj: IRI. Cardinality: {1}\n", + " # 56.433040166832896 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 54.184422885121045 % obj: @weso-s:Protein. Cardinality: +\n", + " # 14.96055852751836 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " IRI *;\n", + " # 86.61710037174721 % obj: IRI. Cardinality: +\n", + " # 25.215341372744582 % obj: IRI. Cardinality: {1}\n", + " # 12.657539214797353 % obj: IRI. Cardinality: {2}\n", + " # 71.78347991658354 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 65.4275092936803 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 37.26539124127301 % obj: @weso-s:Protein. Cardinality: +\n", + " IRI *;\n", + " # 86.372291232206 % obj: IRI. Cardinality: +\n", + " # 24.934264212530604 % obj: IRI. Cardinality: {1}\n", + " # 12.766343276815666 % obj: IRI. Cardinality: {2}\n", + " # 57.62081784386617 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 49.786925378547465 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 40.38444101913138 % obj: @weso-s:Protein. Cardinality: +\n", + " IRI *;\n", + " # 58.33711125215342 % obj: IRI. Cardinality: +\n", + " # 16.8374285973343 % obj: IRI. Cardinality: {1}\n", + " # 22.295765708586455 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 21.670142351981138 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " rdf:type [] ?;\n", + " # 47.87378728805876 % obj: . Cardinality: {1}\n", + " @weso-s:PublicationReference *\n", + " # 30.329132287605404 % obj: @weso-s:PublicationReference. Cardinality: +\n", + "}\n", + "\n", + "\n", + "weso-s:Catalysis\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 70.50531338104533 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 38.603339839514206 % obj: @weso-s:Protein. Cardinality: +\n", + " IRI ; # 100.0 %\n", + " IRI +; # 100.0 %\n", + " # 99.97831273042725 % obj: IRI. Cardinality: {2}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 98.93732379093471 % obj: @weso-s:Interaction. Cardinality: {1}\n", + " # 95.40229885057471 % obj: @weso-s:DirectedInteraction. Cardinality: {1}\n", + " # 70.52700065061809 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 54.933853827803084 % obj: @weso-s:Conversion. Cardinality: {1}\n", + " # 38.603339839514206 % obj: @weso-s:Protein. Cardinality: +\n", + " IRI ; # 100.0 %\n", + " # 98.93732379093471 % obj: @weso-s:Interaction. Cardinality: {1}\n", + " # 95.40229885057471 % obj: @weso-s:DirectedInteraction. Cardinality: {1}\n", + " # 54.933853827803084 % obj: @weso-s:Conversion. Cardinality: {1}\n", + " IRI # 100.0 %\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "weso-s:Inhibition\n", + "{\n", + " IRI +; # 100.0 %\n", + " # 99.83004758667573 % obj: IRI. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 72.19578518014956 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 25.11896668932699 % obj: @weso-s:Protein. Cardinality: +\n", + " # 14.174031271244052 % obj: @weso-s:Metabolite. Cardinality: +\n", + " IRI +; # 100.0 %\n", + " # 99.45615227736234 % obj: IRI. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 98.81033310673011 % obj: IRI. Cardinality: {2}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 90.00679809653298 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 43.337865397688645 % obj: @weso-s:Protein. Cardinality: +\n", + " # 16.349422161794696 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 12.57647858599592 % obj: @weso-s:Rna. Cardinality: +\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 99.89802855200544 % obj: IRI. Cardinality: {1}\n", + " # 94.11964649898027 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 79.77566281441196 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 33.5825968728756 % obj: @weso-s:Protein. Cardinality: +\n", + " @weso-s:PublicationReference *\n", + " # 24.94901427600272 % obj: @weso-s:PublicationReference. Cardinality: +\n", + " # 16.04350781781101 % obj: @weso-s:PublicationReference. Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "weso-s:PublicationReference\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " xsd:string +; # 100.0 %\n", + " # 52.09460004843006 % obj: xsd:string. Cardinality: {1}\n", + " # 24.392606344337718 % obj: xsd:string. Cardinality: {2}\n", + " IRI +; # 100.0 %\n", + " # 52.09460004843006 % obj: IRI. Cardinality: {1}\n", + " # 24.392606344337718 % obj: IRI. Cardinality: {2}\n", + " IRI +; # 100.0 %\n", + " # 37.91266446040843 % obj: IRI. Cardinality: {1}\n", + " # 25.546856082008233 % obj: IRI. Cardinality: {2}\n", + " # 48.01033174590362 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 36.96020663491807 % obj: @weso-s:Interaction. Cardinality: +\n", + " # 35.2247961901687 % obj: @weso-s:DirectedInteraction. Cardinality: +\n", + " # 25.740576317701187 % obj: @weso-s:Protein. Cardinality: +\n", + " # 25.643716199854712 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 25.296634110904836 % obj: @weso-s:Pathway. Cardinality: +\n", + " # 22.237468722253613 % obj: @weso-s:Collection. Cardinality: +\n", + " # 10.460892727419486 % obj: @weso-s:Metabolite. Cardinality: +\n", + " xsd:string *\n", + " # 98.32109129066107 % obj: xsd:string. Cardinality: +\n", + " # 50.54483816288643 % obj: xsd:string. Cardinality: {1}\n", + " # 24.311889579465653 % obj: xsd:string. Cardinality: {2}\n", + "}\n", + "\n", + "\n", + "weso-s:Image\n", + "{\n", + " xsd:string ; # 100.0 %\n", + " rdf:type [] # 100.0 %\n", + "}\n", + "\n", + "\n", + "weso-s:Rna\n", + "{\n", + " IRI +; # 100.0 %\n", + " # 47.9740680713128 % obj: IRI. Cardinality: {1}\n", + " # 12.155591572123177 % obj: IRI. Cardinality: {2}\n", + " IRI +; # 100.0 %\n", + " # 51.78282009724473 % obj: IRI. Cardinality: {1}\n", + " # 11.831442463533225 % obj: IRI. Cardinality: {2}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 100.0 % obj: @weso-s:Rna. Cardinality: +\n", + " # 43.43598055105348 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 20.340356564019448 % obj: @weso-s:Protein. Cardinality: +\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " xsd:string +; # 100.0 %\n", + " # 51.3776337115073 % obj: xsd:string. Cardinality: {1}\n", + " # 11.750405186385738 % obj: xsd:string. Cardinality: {2}\n", + " IRI +; # 100.0 %\n", + " # 43.030794165316046 % obj: IRI. Cardinality: {1}\n", + " # 10.372771474878444 % obj: IRI. Cardinality: {2}\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: +\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: +\n", + " # 45.13776337115073 % obj: @weso-s:Interaction. Cardinality: +\n", + " # 44.16531604538088 % obj: @weso-s:DirectedInteraction. Cardinality: +\n", + " # 18.47649918962723 % obj: @weso-s:TranscriptionTranslation. Cardinality: +\n", + " # 17.74716369529984 % obj: @weso-s:Inhibition. Cardinality: +\n", + " # 11.831442463533225 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 11.831442463533225 % obj: @weso-s:Complex. Cardinality: +\n", + " xsd:string +; # 100.0 %\n", + " # 51.78282009724473 % obj: xsd:string. Cardinality: {1}\n", + " # 11.831442463533225 % obj: xsd:string. Cardinality: {2}\n", + " IRI +; # 100.0 %\n", + " # 51.78282009724473 % obj: IRI. Cardinality: {1}\n", + " # 11.831442463533225 % obj: IRI. Cardinality: {2}\n", + " xsd:string +; # 100.0 %\n", + " # 51.78282009724473 % obj: xsd:string. Cardinality: {1}\n", + " # 11.831442463533225 % obj: xsd:string. Cardinality: {2}\n", + " IRI *;\n", + " # 78.7682333873582 % obj: IRI. Cardinality: +\n", + " # 31.766612641815232 % obj: IRI. Cardinality: {1}\n", + " # 11.183144246353322 % obj: IRI. Cardinality: {2}\n", + " # 60.29173419773096 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 48.54132901134522 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 29.17341977309562 % obj: @weso-s:Rna. Cardinality: +\n", + " IRI *;\n", + " # 77.87682333873582 % obj: IRI. Cardinality: +\n", + " # 31.199351701782817 % obj: IRI. Cardinality: {1}\n", + " # 11.102106969205835 % obj: IRI. Cardinality: {2}\n", + " # 59.80551053484603 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 54.13290113452188 % obj: @weso-s:Rna. Cardinality: +\n", + " # 36.95299837925446 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 20.42139384116694 % obj: @weso-s:Protein. Cardinality: +\n", + " IRI *;\n", + " # 68.88168557536467 % obj: IRI. Cardinality: +\n", + " # 25.85089141004862 % obj: IRI. Cardinality: {1}\n", + " # 16.207455429497568 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 15.640194489465154 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " IRI *;\n", + " # 54.53808752025932 % obj: IRI. Cardinality: +\n", + " # 22.690437601296594 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 18.719611021069692 % obj: @weso-s:Protein. Cardinality: +\n", + " # 10.53484602917342 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " rdf:type [] ?;\n", + " # 43.43598055105348 % obj: . Cardinality: {1}\n", + " @weso-s:PublicationReference *;\n", + " # 36.70988654781199 % obj: @weso-s:PublicationReference. Cardinality: +\n", + " # 19.286871961102108 % obj: @weso-s:PublicationReference. Cardinality: {1}\n", + " IRI *;\n", + " # 23.905996758508913 % obj: IRI. Cardinality: +\n", + " rdf:type [] ?\n", + " # 20.340356564019448 % obj: . Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "weso-s:Stimulation\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI +; # 100.0 %\n", + " # 99.88253719655442 % obj: IRI. Cardinality: {1}\n", + " # 88.05794831636649 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 56.53876272513704 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 41.503523884103366 % obj: @weso-s:Protein. Cardinality: +\n", + " # 11.942051683633515 % obj: @weso-s:Interaction. Cardinality: {1}\n", + " # 11.902897415818323 % obj: @weso-s:DirectedInteraction. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 99.64761158966327 % obj: IRI. Cardinality: {1}\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 99.96084573218481 % obj: IRI. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 60.1018010963195 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 38.21456538762725 % obj: @weso-s:Protein. Cardinality: +\n", + " # 21.339075959279562 % obj: @weso-s:Metabolite. Cardinality: +\n", + " IRI +; # 100.0 %\n", + " # 99.09945184025058 % obj: IRI. Cardinality: {2}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 77.64291307752545 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 56.812842599843385 % obj: @weso-s:Protein. Cardinality: +\n", + " # 25.68519968676586 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 11.942051683633515 % obj: @weso-s:Interaction. Cardinality: {1}\n", + " # 11.902897415818323 % obj: @weso-s:DirectedInteraction. Cardinality: {1}\n", + " # 11.472200469851215 % obj: @weso-s:Pathway. Cardinality: +\n", + " @weso-s:PublicationReference *\n", + " # 39.780736100234925 % obj: @weso-s:PublicationReference. Cardinality: +\n", + " # 22.631166797180892 % obj: @weso-s:PublicationReference. Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "weso-s:Binding\n", + "{\n", + " IRI +; # 100.0 %\n", + " # 38.25347758887172 % obj: IRI. Cardinality: {2}\n", + " # 29.90726429675425 % obj: IRI. Cardinality: {3}\n", + " # 12.654559505409582 % obj: IRI. Cardinality: {4}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 86.90108191653788 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 64.81839258114374 % obj: @weso-s:Complex. Cardinality: +\n", + " # 47.739567233384854 % obj: @weso-s:Protein. Cardinality: +\n", + " # 17.34930448222566 % obj: @weso-s:Metabolite. Cardinality: +\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI +; # 100.0 %\n", + " # 99.90340030911901 % obj: IRI. Cardinality: {1}\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: {1}\n", + " rdf:type [] ?;\n", + " # 63.77511591962906 % obj: . Cardinality: {1}\n", + " rdf:type [] ?;\n", + " # 36.22488408037094 % obj: . Cardinality: {1}\n", + " IRI ?;\n", + " # 36.22488408037094 % obj: IRI. Cardinality: {1}\n", + " # 36.22488408037094 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 24.826120556414217 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " IRI *;\n", + " # 36.22488408037094 % obj: IRI. Cardinality: +\n", + " # 36.18624420401855 % obj: IRI. Cardinality: {1}\n", + " # 35.54868624420402 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 27.93663060278207 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 10.973724884080372 % obj: @weso-s:Protein. Cardinality: +\n", + " @weso-s:PublicationReference *\n", + " # 11.765842349304483 % obj: @weso-s:PublicationReference. Cardinality: +\n", + "}\n", + "\n", + "\n", + "weso-s:ComplexBinding\n", + "{\n", + " IRI +; # 100.0 %\n", + " # 46.83429263859436 % obj: IRI. Cardinality: {3}\n", + " # 19.842471978188428 % obj: IRI. Cardinality: {4}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 100.0 % obj: @weso-s:Complex. Cardinality: +\n", + " # 87.82187215995152 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 51.43895789154802 % obj: @weso-s:Protein. Cardinality: +\n", + " # 12.087246289003332 % obj: @weso-s:Metabolite. Cardinality: +\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " IRI # 100.0 %\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "weso-s:Complex\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI +; # 100.0 %\n", + " # 98.21826280623608 % obj: IRI. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 85.82962138084632 % obj: IRI. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: +\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: +\n", + " # 13.780623608017816 % obj: @weso-s:Interaction. Cardinality: +\n", + " # 13.752783964365257 % obj: @weso-s:DirectedInteraction. Cardinality: +\n", + " IRI *;\n", + " # 91.89866369710468 % obj: IRI. Cardinality: +\n", + " # 43.04008908685969 % obj: IRI. Cardinality: {2}\n", + " # 18.234966592427618 % obj: IRI. Cardinality: {3}\n", + " # 91.89866369710468 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 80.70712694877506 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 47.27171492204899 % obj: @weso-s:Protein. Cardinality: +\n", + " # 11.108017817371937 % obj: @weso-s:Metabolite. Cardinality: +\n", + " xsd:string *\n", + " # 12.082405345211582 % obj: xsd:string. Cardinality: +\n", + " # 10.801781737193764 % obj: xsd:string. Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "weso-s:TranscriptionTranslation\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI +; # 100.0 %\n", + " # 95.59512652296156 % obj: IRI. Cardinality: {1}\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: {1}\n", + " IRI +; # 100.0 %\n", + " # 82.3805060918463 % obj: IRI. Cardinality: {2}\n", + " # 14.71415182755389 % obj: IRI. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 93.72071227741331 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 64.0112464854733 % obj: @weso-s:Protein. Cardinality: +\n", + " # 22.492970946579195 % obj: @weso-s:Rna. Cardinality: +\n", + " IRI +; # 100.0 %\n", + " # 97.28209934395501 % obj: IRI. Cardinality: {1}\n", + " # 99.90627928772258 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 74.41424554826617 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 51.35895032802249 % obj: @weso-s:Protein. Cardinality: +\n", + " # 20.712277413308342 % obj: @weso-s:Rna. Cardinality: +\n", + " IRI +; # 100.0 %\n", + " # 99.81255857544518 % obj: IRI. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 86.87910028116214 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " # 43.673851921274604 % obj: @weso-s:Protein. Cardinality: +\n", + " @weso-s:PublicationReference *\n", + " # 13.495782567947517 % obj: @weso-s:PublicationReference. Cardinality: +\n", + "}\n", + "\n", + "\n", + "weso-s:Translocation\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:Pathway. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Collection. Cardinality: {1}\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 84.0 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 12.0 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " IRI ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 84.0 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 12.0 % obj: @weso-s:GeneProduct. Cardinality: +\n", + " IRI # 100.0 %\n", + " # 100.0 % obj: @weso-s:DataNode. Cardinality: +\n", + " # 84.0 % obj: @weso-s:Metabolite. Cardinality: +\n", + " # 12.0 % obj: @weso-s:GeneProduct. Cardinality: +\n", + "}\n", + "\n", + "\n", + "weso-s:DatasetDescription\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " rdf:langString ; # 100.0 %\n", + " @weso-s:Dataset ; # 100.0 %\n", + " xsd:dateTime ; # 100.0 %\n", + " rdf:langString ; # 100.0 %\n", + " xsd:dateTime ; # 100.0 %\n", + " xsd:dateTime ; # 100.0 %\n", + " xsd:dateTime # 100.0 %\n", + "}\n", + "\n", + "\n", + "weso-s:Linkset\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " xsd:string ; # 100.0 %\n", + " @weso-s:Dataset ; # 100.0 %\n", + " xsd:dateTime ; # 100.0 %\n", + " IRI # 100.0 %\n", + " # 44.44444444444444 % obj: @weso-s:ObjectProperty. Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "weso-s:Dataset\n", + "{\n", + " xsd:string ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " IRI *;\n", + " # 50.0 % obj: IRI. Cardinality: {10}\n", + " # 50.0 % obj: @weso-s:Linkset. Cardinality: {9}\n", + " # 50.0 % obj: @weso-s:Dataset. Cardinality: {1}\n", + " @weso-s:Class *;\n", + " # 50.0 % obj: @weso-s:Class. Cardinality: {15}\n", + " @weso-s:Distribution *;\n", + " # 50.0 % obj: @weso-s:Distribution. Cardinality: {3}\n", + " IRI ?;\n", + " # 50.0 % obj: IRI. Cardinality: {1}\n", + " IRI ?;\n", + " # 50.0 % obj: IRI. Cardinality: {1}\n", + " xsd:dateTime ?;\n", + " # 50.0 % obj: xsd:dateTime. Cardinality: {1}\n", + " xsd:string *;\n", + " # 50.0 % obj: xsd:string. Cardinality: {2}\n", + " IRI *;\n", + " # 50.0 % obj: IRI. Cardinality: {5}\n", + " # 50.0 % obj: @weso-s:ConceptScheme. Cardinality: {1}\n", + " # 50.0 % obj: @weso-s:Ontology. Cardinality: {1}\n", + " xsd:string ?;\n", + " # 50.0 % obj: xsd:string. Cardinality: {1}\n", + " IRI *;\n", + " # 50.0 % obj: IRI. Cardinality: {5}\n", + " # 50.0 % obj: @weso-s:GeneProduct. Cardinality: {1}\n", + " # 50.0 % obj: @weso-s:DataNode. Cardinality: {2}\n", + " # 50.0 % obj: @weso-s:Protein. Cardinality: {1}\n", + " # 50.0 % obj: @weso-s:PublicationReference. Cardinality: {2}\n", + " IRI ?;\n", + " # 50.0 % obj: IRI. Cardinality: {1}\n", + " IRI ?;\n", + " # 50.0 % obj: IRI. Cardinality: {1}\n", + " IRI ?;\n", + " # 50.0 % obj: IRI. Cardinality: {1}\n", + " xsd:dateTime ?;\n", + " # 50.0 % obj: xsd:dateTime. Cardinality: {1}\n", + " xsd:dateTime ?\n", + " # 50.0 % obj: xsd:dateTime. Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "weso-s:Distribution\n", + "{\n", + " IRI ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " rdf:type [] ; # 100.0 %\n", + " xsd:string # 100.0 %\n", + "}\n", + "\n", + "\n", + "weso-s:ObjectProperty\n", + "{\n", + " rdf:type [owl:ObjectProperty] ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:ConceptScheme. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Ontology. Cardinality: {1}\n", + " rdf:langString ; # 100.0 %\n", + " rdf:langString ?;\n", + " # 93.33333333333333 % obj: rdf:langString. Cardinality: {1}\n", + " IRI *;\n", + " # 86.66666666666667 % obj: IRI. Cardinality: +\n", + " # 60.0 % obj: IRI. Cardinality: {1}\n", + " # 26.666666666666668 % obj: IRI. Cardinality: {2}\n", + " # 33.33333333333333 % obj: @weso-s:Class. Cardinality: {1}\n", + " IRI ?;\n", + " # 40.0 % obj: IRI. Cardinality: {1}\n", + " # 13.333333333333334 % obj: @weso-s:Class. Cardinality: {1}\n", + " @weso-s:ObjectProperty ?\n", + " # 33.33333333333333 % obj: @weso-s:ObjectProperty. Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "weso-s:ConceptScheme\n", + "{\n", + " rdf:type [] ; # 100.0 %\n", + " rdf:type [owl:Ontology] ; # 100.0 %\n", + " owl:versionIRI IRI ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " rdf:langString # 100.0 %\n", + "}\n", + "\n", + "\n", + "weso-s:Ontology\n", + "{\n", + " rdf:type [owl:Ontology] ; # 100.0 %\n", + " rdf:type [] ?;\n", + " # 50.0 % obj: . Cardinality: {1}\n", + " owl:versionIRI IRI ?;\n", + " # 50.0 % obj: IRI. Cardinality: {1}\n", + " IRI ?;\n", + " # 50.0 % obj: IRI. Cardinality: {1}\n", + " rdf:langString ?;\n", + " # 50.0 % obj: rdf:langString. Cardinality: {1}\n", + " rdf:langString *\n", + " # 50.0 % obj: rdf:langString. Cardinality: {7}\n", + "}\n", + "\n", + "\n", + "weso-s:Class\n", + "{\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:ConceptScheme. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Ontology. Cardinality: {1}\n", + " rdf:type [owl:Class] ; # 100.0 %\n", + " rdf:langString ; # 100.0 %\n", + " rdf:langString ; # 100.0 %\n", + " @weso-s:Class ?\n", + " # 76.47058823529412 % obj: @weso-s:Class. Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "weso-s:DatatypeProperty\n", + "{\n", + " rdf:type [owl:DatatypeProperty] ; # 100.0 %\n", + " IRI ; # 100.0 %\n", + " # 100.0 % obj: @weso-s:ConceptScheme. Cardinality: {1}\n", + " # 100.0 % obj: @weso-s:Ontology. Cardinality: {1}\n", + " rdf:langString ; # 100.0 %\n", + " rdf:langString ; # 100.0 %\n", + " IRI ?;\n", + " # 66.66666666666666 % obj: IRI. Cardinality: {1}\n", + " IRI ?\n", + " # 66.66666666666666 % obj: IRI. Cardinality: {1}\n", + "}\n", + "\n", + "\n", + "\n", + "Done!\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from IPython.display import Image\n", + "Image(filename='wikipathways-20240810-rdf-wp.png')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 474 + }, + "id": "U3Oo_Qc4engr", + "outputId": "b4fb383f-94d7-4b6f-e6c8-a42b1c310a85" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "image/png": 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R/fv3U1JSIiIiZs+ebWVlpaenZ2RkNH78eG9v76ioqPPnz1dWVkpzAOCDQYE7AOANUOAOAHifKHDHr3D48OGJEydqtn/44QeFQhEeHq55GBUVNXfu3JrIHTt2WFpaGhoajhgx4tixY5rGkydPfv7550ZGRnK53N7e/urVqzXxoaGhvXv37tix49ixYzMyMmraa6srPTc3NzExsaSkRGx36dKlU6dO/5RWUdGtWzdjY2PNtpeX1/r164ODg01MTExNTcVxNe2rVq1q1qxZ27ZtFS9dvnxZ0/7KgUkK3F8ZU/GyvN7X17dz5849e/YMCwtTqVTiuKJ9586dzs7ONWFCSEjIwoULa7cAr4MCdwAAgPqgqqoqJydH3JWI+6MFCxaMHz9e3Gu0bNlS3J6MHj3aw8ND/MEfFxd34cIF8SecNBkAAAAA8DaUl5d///33GzZsEPdlI0eONHhJoVB89dVXkZGR6enpIkCaAwAfMArcAQBv4L0VuAcEBPgBAOqr91atSIE7foWcnJwmTZqcPXtWbG/duvWTTz4xMTHR7BoyZIi7u7tmOzQ09M9//rOvr29cXNy8efP++Mc/pqWl3bt377//+78dHR3j4+N37tzp6el57tw5Tbz440TE+Pv7x8TEiH7+9re/3bp1S7Orxs+kR0REiFHdeElsiN7+ObUiKChItF+/fl1sm5ubt2jRYtSoUdHR0T4+Ph9//LEYpGhPSUkxNja2tLTc/NKdO3cq6h5Y7QL3umIEce7/8R//ERwcvGvXrgEDBvzP//yP5uMB2dnZ//Iv/3L48GFNWHFxsTi1wMBAzUPg9b23twwAAAD8Cnl5eUePHt2yZcuSJUucnJzETYFMJmvXrt3AgQPFw8WLF2/atOnIkSO5ubnPnj2TJgMAAAAA6lZaWnry5MnIyMiFCxfa2toaGhqKG64hQ4bMmTMnIiJC3IsVFxdLcwAAtVDgDgB4A++zwF16bABAvfHeqhUpcMevo6ent2rVKrHh5OTk4ODw6aef3rlzp7S09N///d937Ngh2ktKSv7rv/6r9gSzs7MbPXp0RkZGkyZNcnJyato1RPxnn322ZMmSmodaWlqenp7/HFVRV7qQlpY2b968oqKi48ePi5jt27dLAr777jvRnpKSUvGywN3Y2Li8vFyzy8LCoqZU3dLS0tXVtSbrZwZWU+D+MzH37t37P//n/4SEhGh2ieH97W9/q1n/fsiQITXbmzZt+vOf/6wpqQfeyHt7ywAAAMDbIm5GLly4EB8fv2bNGnEjM378+N69e7dq1apr164jR4788ssvAwMDY2JiTp8+Le4ppMkAAAAA8EES90dHjx5dt27d/Pnzxa1T+/bt27VrN3ToUE05+6FDhwoKCqQ5AICf9TYL3FetWrV69eqah3v37nVxcRkzZozmCw3rG09PzzEv/fDDD5qWRYsWRUZG/nPUO3H16tXz58/X9fCd+hXn6O/vHxYWJm19Db868U3VPlBdJ/jWB1PXgRqHtz4nCwsLNdU5RUVFZWVlNe0XL148c+bM/8bVS79x8ohfjJpfNadOnZLua5gocAcAVLzHakUK3PHrODk52djYVLysdI+Li+vUqdP27duTk5P/8Ic/aEq0T5482aRJk8mTJ8+bN2/u3Lni9rB///4dOnQoKSlp3759q1atlErlnj17iouLNR1qKtdFVs0hJkyYMHjw4KysrJB/OHfuXF3ptaWlpYmutmzZImlXq9Wi/cSJExUvC9xrV7E7OjpqTqfiJwXudQ2solaB+8/EnD59WuyqWWZeGDhwYE1Re0xMzJ/+9CfNFevbt6+Dg0NNGPD63ttbBgAAAN61wsLC9PR0cacQGBj45ZdfKhSKbt266erqmpmZ2dvbz58/f82aNfHx8ZmZmaWlpdJkAAAAAGhECgoKDh06FBERMWfOnKFDh7Zr1659+/YjRoyYN2/eunXrjh49yueBAeC3e5sF7mPGjKn5j/DU1NRPPvnE09MzMDAwNze3dpiTk5Ovr2/tlt+FsbHx6NGjN2zYUFRUpGkxNzefOXPmP0f9f5Ix/8ZTUCgU8+fPr+vhO/Uz51iX2t9r/0ZGjRo1bdo0aes7UPtAdZ3gbx+M5Emv60CNw9udkzk5OX/84x/v379/9+7df/u3f7ty5UrNLs26L7ViX+03vuLeyE+P9RsnT3Jysvg906RJkz179kj3NUwUuAMAKt5jtSIF7vh1tm7d+tlnn2VnZ4u/P8VfoUqlcurUqV5eXt27d9cEHD58WPyFJtoX1aJZ9L2goCAoKMja2vovf/mLjo5OZmZmxcs7XBGv2dZwdnbu06fPwYMHLf7hu+++qyu9NhHwL//yL97e3pL2pUuXfvzxx/n5+RU/ud0Qd2TivkyzLSlwr2tgFbVu5X4mRlNtf/HixZpdtVdtLy8vF6cgbupF7kcffXT06NGaMOD1vbe3DAAAAPwufvzxx5s3b4r7BXEjtmzZMnHzJW4rOnbsqKen179/fwcHB3EvFhERkZCQkJWVJf4+lOYDAAAAQL1369atpKSkNWvWKJXKwYMHi/sdQ0NDW1vbhQsXRkZGnjx5kk/5AsC78K4K3FesWNGhQ4d/3v//Sf4//vdibGy8aNGi2i0/U7IsGfNvOYXi4uK//OUvmmX5fvrwXfuZc6zLry5w/138ihN8TZIn/d0d6Hf31ufk2rVrzczMxEZ8fHzbtm1r73rNAvff8op7U+/oWBS4/woUuOP3df/+/f3790dERMTExOTk5Eh31yd3797du3evGOqOHTsuXbok3f3PGvc3kOB9em/VihS449f54YcfPv74Y2dnZ/F3u3gYGxtrYGDQp08fT09PTcCtW7dEwE+XUa+toKBAJpMplUqxfefOnY8++mjbtm01e01NTSdNmvS/0T9RO11i4MCBWlpatdd3Lykp0dXVHTBggObhzxS4iw0XF5eaXT8zsJpbuZ+JKSws/MMf/rB582ZNe2lpacuWLWvu6wVfX19DQ0MxmM6dO9c0Am/kvb1lAAAAoF55/Pjx5cuXk5KS1q1b5+3t7eDgYGFhoaenp6+vL+59NIXv4eHh8fHx58+fF/dH0nwAAAAA+D1UV1fn5OTs27cvODjY1dV14MCBurq6Xbp0sbOzE7c2W7ZsOXPmTAWf3QWA9+INCty9vLzWrVv39ddfd+/efcKECRUvl3NbunSp+A3es2fPsLCwmgJ3f3//Dh06fPbZZwqFQlMqmpubm5iYWFJSsmrVqmbNmrVt21bx0uXLl3fu3Ons7Fz7QCEhIQsXLqw54vLly7t16yYOGhoaWjtsx44dlpaWhoaGI0aMOHbsWO1dNWqOK91Rd4G7eHMyMTExNTWtOZxkzD4+PpJT+Jlx/nQAsbGxWlpaP32oVqtrlykIq1evXrBggWZb9Nm7d++OHTuOHTs2IyOjJmbXrl1WVlbiapuZmWmWGxTEEcePH9+1a1cxmP/H3rnH9Zi0j79QdHBadiVa8a0ehyJSDgmbJYtIlPOWZbEO+7F40u7qwfOEtUKx7RI5bYtShByWVJZCEbaUU0kJpeL+7nf3u489vH7X7zOP+d7mvmc+n5KUvd5/eM099xyuuWbmnmt0fWbmzZtXWFhI05M2qooK8SADfVy9ejWoQnrewV1QsnJ4wNiQl6/aX+fOnfPx8enatauzs/PkyZNv3rxJ0xOSkpKod8Xdu3dB4Zs3byaP33333eLFi6XnK5I7gty+fRvK3LFjB5NG0F+8BirHLW+06COwxKlIMBd0KorAGydM7zx+/Hj58uXdu3cnMzckJIT0NYGOSX3aIlBmaWlpopZRo0aBkQeBqVOnDhkyBAJUNrmDOxQVGRmpVKlS+SRedUQpx6GqqinMDFKtixnJqkrmCU9BB/cqgA7uyCtkz5498DUwNzeHjxt8IoyMjOBTA2YPm67GUd4ycfLkSRD1zTff7N27d4cOHerVqye+8uI1/oEWUsPUmLciOrgjVQZ2fMbGxrB9g/DDhw8hDN/zI0eO0ARgzllbW6elpZHH9PR0MNiys7PBHgaDWdI6wbdv355+V8eOHQtGIDHFt2zZYmhoCAbzs8L+gyD7oUOH4CNMDmi/cOGCmZmZp6cnMTihTFhoIAbiSWKBg/usWbPAsr1169b9+/fJ2sQTTL6V46UB/P39QU5YUHJycqBwU1NTuYN7fn5+w4YNTUxMYG9CIxGkUtTYkoEgCIIgCILUCSoqKq5evQq7s4iIiKCgoKlTpw4ePLhz586wQevXrx/s1BYtWhQaGhobG3v+/PmioiI2P4IgCIIgCIIgSPUhSdKlS5d27979z3/+08/PD3Ylbdu2dXNz8/f3/9e//hUdHX3lypWffvqJzYYgCILUCJVwcB8wYIClpeXw4cN37Nixb98+SXuWm7m5+bp162JiYuD73qpVK/KH8MTERF9fX2tr6127dsXFxUFMRESEgYFBfn5+SkqKo6Ojh4fHLi3FxcU5OTn169enf1wvKyt78803169fT2qEMkeNGgWFQF1GRkZbt24lycLDw83MzCDy0KFDgYGBJiYm1C9BDq2XfcFxcG/Tps2YMWP27NmzdOnSevXqQeEQz8h89OhRpgkCOZUCTJs2bdasWcpHWCwhJW3F48ePQdurVq2StL7m0EAIQ/nDhg1r0aJFQUGBpPV+hroWLlx48ODByMhI6gCxcuXK4ODg+Ph4WH179+7dt2/f/1QmVKm9vT0szDSlt7c36U25V4S4ZGZ4yDOq9ldpaSn0NWggISEBsgQEBGRmZtICCbm5uaAWUA6Eo6KiQGAXFxfyClQxZ84c6fmKqCPIxYsX27VrB7olziVMGp4SeA1UjlveaNFHYF5FvLmgj6Ik/jiRFL0DXdC0adOwsLDY2Nh3332XzlwCHZP6tEWgzGvXrtlqMTQ0hL6AALwFKxACc+fOJWnkDu48lSqVL3FGFCmEGYeqqiYoZ5BqXfLBw1MyT3gKOrhXAXRwR14VR44cga8xfOVKSkpIDHwPfXx8VH8vV8Mob5mwsbHx8vKiZwDDUiK+goPxmESQKlNj3oro4I5UGfjcgQ2WnJxMHl1dXcGQe/ToEU3w4MGDyZMnN2jQoHnz5qampvBvaGgoWJVvvfWWsbExWHcNGzYcMWLEw4cPSfrbt2+D7QqWHtjSxCakRVEE2Zm94Q8//ODs7AymMuyp4V8nJyf5z7YFDu5Xr14FsxYEgNIyMjIkvmByO5aXRtKeND9hwgSwrkEDUCnIPG/ePPoWgEWwcePGoC55JILoT40tGQiCIAiCIEid5ueff75x40ZSUtKuXbtWrlw5e/bskSNH9ujRw8LCAnZPo0ePnjt3LtiWUVFRKSkpsMf59ddf2SIQBEEQBEEQBEGE3Lt379SpUxEREYsXL4Zdhr29va2trYeHx5w5czZu3Hj06FHYlfz2229sNgRBEOQVUTkH944dO9LjS8vKypo1axYSEkIeYQFo0qQJdZNdtmyZo6MjCUvaP/MHBgaSP+0rfbOGDRtGM+7cudPMzIz4lUKN1tbWxEEZ0Gg0dnZ2kvb29pYtW8qdXSZNmjR27Fj6SJHXy6Dq4A6RtIGDBg2i3gCMzMwjT05JIQAUbmlpefjwYdVHFxcX6vh74MABIyOjvLw8aCzombqew6OVlVVAQADov3nz5vSIdx75+fnU70ESiqqPg7scZcny4SHJMvL66/Lly1BCbm4ujVcFLAlyOP306dP9/f2NjY1heFRUVMB4i4mJkRTO6/Pnzz9+/HiLFi2Cg4NpIUwanhLkMA1UdjpvtOgUmEFekepc0EdRvHFCHuW9U1paam5uTs9fhMEJuqKVMmNSZ1t0KhPEbtiwYYkWCNDz1wmMgztPpYzyeSNKUhuHcuSq5s0g5QdKPpJ5ShYIT0AH9yqADu6vK/rcDiFxbmmQ+DdaqN6uoEQ1O3PdSs+ePSEB70siceoS3+SgeuOKxG+m6v0Yylsm4NMKn5ctW7bQjAzKeslCyZNTIA+0bu3ataC3Pn36REdHg35WrVrl5OQ0cODAhIQEWRncQpDXjBrzVkQHd+RlA/Yt7Nqys7PByqWRYMRCJP29qBzySnWPSRFkZ7h16xak5F3QVCn0F0yQBpTQrl078oNzipubG2wH5DEIUilqbMlAEARBEARBXkv++OOPwsLC1NTU6OjotWvXfvLJJ76+vn379rWysnJwcBg6dChsWJYtW7Zly5Zjx47B5u7JkydsEQiCIAiCIAiC/PX497//nZOTc/jw4fXr18+aNevdd9/t0KFDt27dxo0b9/nnn0dGRqakpDx8+JDNhiAIgtQmKufgPm3aNPqYmZlpYGBw8eJFGuPu7s5zcJej9B+Ni4szNTUlTu0DBw709/cn8VCjn58fTRYfH29oaAhLy7lz56DqDz74IDAwcPHixQEBAVB1ly5daEp9UHVwlwsGjfX09CRhnQ7uqnLSGAosjU2bNqUudMxjaGjoW2+9RR59fHzIEX3EuRma/KwMacqUKUOHDk1LSzOQnfguJy8vb8GCBW5ubqCTTp06gTCxsbHklUBUfRzcxSXLh4cky8jrL2hp586d3377bY1Gc/DgQXr6LMP06dNJR9ja2h46dAhMjb179yYmJjZo0EB5wDaI0b17d3Nz8x07dsgLYdLwlCBooLLTeaNFp8ASvyLVuaCPonjjhITlvZORkQEp5WfADx48mM5cZkzqbItAmYSIiAjiwp6QkACWIo0nMA7uPJUyyueNKEltHPJUzZtByg8UHTwCJQuEJ6CDexVAB/fXFX1uh+Dd0sC70YJ3uwIDL7v8SN07d+7Ah+KLL75gMz+DV9cA/k0OyvsiSDyvmaQ05f0YqrdMtGvXzsnJ6dSpU3K/TIJqvQI5xfJYWlrCRxtWAegjWAXgAwjff3gEfcLKBR9bnYUgrxk15q2IDu4I8rI5c+bMxo0bwcqF1cTX1xeWtqKiIvIqKysrLCwMPvuqV0ghiJ7U2JKBIAiCIAiC/NUoKSm5dOnSwYMHw8PDP/vss/fff9/d3d3Ozs7GxmbgwIETJ05cuHDh2rVro6Ojz549m5eXh4e+IwiCIAiCIMjryqNHj86fP79r165ly5ZNmTKF/CZ2wIABU6dOXbFiRVxc3JUrV3766Sc2G4IgCFK7qZyDu/yS9NTUVAMDg5ycHBrj6elZNQf3J0+eWFtbr1+//urVq4aGhqdPnybxUOOsWbNoshMnTkCNd+7cSUpKgoBGo1kmQ34eqj6oOrjzboHX6eCuKieNoSxatMjX15f3WFRU1KhRo5iYmHv37pmYmHz33XfSMz2DZmiyGTNmuLm5JScnQ7zqIbU9evQYMmTIgQMH0tLS0tPTjYyMSFGSUFTGwX306NFKB3dxyXLtSbKMgv66f/9+aGjoiBEjGjduDGNA3kxKVFRUs2bNYKSBckpKSqAcaEJQUFCvXr1IAsZ5vU+fPqampoxrLJOGpwRBA5WdzhstOgWW+BXx5oJORfHGCQnLpSWO3VlZWTSl/Nh4ZkzqbItAmV27dgVjsUmTJmZmZhB44403YFRDoHfv3jQ94+DOUymjfMGIUo5Dnqp5M0j5gaKDR6BkgfAEA3Rwrzzo4P4aI74dQnBLg+qNFoLbFRhUs0vPX7dy9uxZSLN3714mDUFQ1wDOTQ68+yIEzZS0panej6H8RiUmJrZv3x5khrUPKt26dSuJ59XLk1OnPE5OTiRM7vpwdXUlj9BxUNG2bdskXYUgrxk15q2IDu4I8rK5cOGCu7s7rDuwQHt7e8stZDDpbWxsmOs+EKSy1NiSgSAIgiAIgiAEsEKvXbuWmJi4a9cuMEc//vhj2Oz07t377bff7ty586BBg95///3FixeHhYXt27cvNTW1sLDwt99+Y0tBEARBEARBEKRW8ssvv2RnZx86dCg0NHT27NlDhw61s7MDU3/EiBELFiwIDw8/duzYrVu3/vjjDzYngiAIUteouoP7vXv3DA0N4+LiaIyNjY0+Du7Dhw+fOXMmE7l8+XIHBwcov3v37jRygBb6GBYW1qRJEwgUFBTUq1fv22+/pa+qQKUc3BmZmUeenEpgNd21axfvERgzZsyoUaM2bNjQsmVLclB3cXEx6Hn37t00jaurq5+f3927d0EJzDnlwM2bNw2enYwLQAAe5W7oPFH79eu3aNEi+go6gnFw11kyz8Fdn/66f/8+WBsajYZ9IUmkpTNmzCCS79+/v1OnTm5ubtR5kXFeBzHAUmncuDEMKloIk0ZVCeIGKjudN1p0CiyuSHUuUHiK4o0TEpZL++DBgwYNGtCBV1FR0bZtWzpzmTGpsy08ZUrao+LPnTtnaWm5ZcsWCNjb28OHBQK04ZLeDu6M8gUjiilEoGreDFJ+oOjgEShZIDwBHdyrADq4v8aIb4cQ3NKgeqOF4HYF2NZueEZmZqZqdgbyKyDVL4wkrGsA5yYH3n0RgmZK2tJU78dQOrhLWo/z5OTkVatWQS4o8+OPP5b49fLk1CmPPJeLi4v8owfJVq5cKekqBHnNqDFvRXRwRxAEqevU2JKBIAiCIAiCIDp59OjRjz/+eOzYsW3btgUHB8+ePXv06NHOzs6WlpZdu3YdOnTo1KlTlyxZEh4efuDAgQsXLhQWFrJFIAiCIAiCIAhSg4BNnpSUtHXr1s8++2z8+PE9evR4++2333nnnQ8++GDFihXR0dGXLl16/Pgxmw1BEAR5Lai6gzvg5eXl5OR09+5dCK9evbpevXo8B/dDhw5B9nv37kF41qxZvXr1unXr1v379+kBovn5+Q0bNjQxMdmwYQPNBVnq169PvFFzcnLat28/d+5c8gpWLGtra+q2lZ6eruo8Kq+XoVIO7ozMzKNATrkAV69ehTZCFvKKeSTExcVBpIODg9yNbOzYsfb29jdv3oTwli1bDA0NYeWGsI+PD9R1/vx5Sevzd/z4cQg8fPjQyMho/fr1kvZHCO7u7pBe7obOE3XevHlZNq1eAACAAElEQVQ2NjZ37tyBFkEvQDLGwV1nyTwHd4nTX9nZ2fv37yfH0xYUFIAwxCV906ZNjHMwdJaxsfHSpUslrRgQBkmOHDlC3iod3CXtId/NmjULDAxUTaOqBHEDlZ3OGy2SLoHFFSnnAk9R0vO64o0TSdE7/v7+UMjJkyeh+dAuU1NT0teqY1LcFp4yCdevX2/UqFFpaWlJSQmUfOPGDfqKoKeDu/KjoTqiJEUhYlWrziBlXfLBw1OyQHgCOrhXAXRwf40R3w4huKVBUrvRQnC7AnzoBj0jPj5eNTvNRYAE8FkjHz0lgrp43wHefRHiZg7g3I+h6uAuB3LBdw++abx6eXLqlEeeq3fv3nSFlWSXwIgLQV4zasxbER3cEQRB6jo1tmQgCIIgCIIgyIvw4MGDS5cuJSQkRERELFu2bMaMGZ6enk5OThYWFj169BgxYgTELF26dPPmzYcPH7548SKkZ4tAEARBEARBEOQFkCQpMzNz3759K1eunDZtmru7e7t27RwdHceNG/fpp5+CoX7q1KmCggI2G4IgCPL68kIO7tevX3dwcDAyMmrWrBm89fT05Dm4wxpjYGCQn58vaZ1oe/fubWJiAjEZGRk0jY+PT+PGjR88eEBjoEwosFu3bi1atKhXr56bmxt1VYdkkydPbtCgQfPmzU1NTeHf0NBQmpEir5ehUg7ujMzMo0BOuQCg1cGDB9PymUdCRUVF69atIcvZs2dp5O3bt/v16wclN23aFCpdtWoViS8uLh49erShoSHUa2xsTE6QBdasWQOPrVq1MjMzg1pAP3I3dJ6ot27dsre3B5VCrpEjR9LelHv3iksWOLir9ldaWtpbb70FBbZp06Zhw4YjRox4+PAhJA4MDGSOwIeSQSfJycnk0dXVFfTw6NEj8qjq4C5p3RBbtmxJDjtn0vCUIGigstN5o0XSJbAkrEhSzAWeoqTndcUbJ5Kid+7fvz9hwgSoGjoC4qHAefPmSZwxKW6LQJmS1gWc+K8fOXLE1taWxlP0dHBXfjRUR5SyEEmoatUZpKxLPnh4ShYITzBAB/fKgw7urzHi2yEEtzTIoTdaCG5XEMC7EAPw8PBo27ZtaWmpPJI8CurifQd490WImzlAC32k92MMV9wywbBhwwaQEFrHq5cnp0559HFwFxeCvGbUmLcirDvbt29fgSAIgtRNwBqpsSUDQRAEQRAEQV4SRUVF6enpBw4c+Prrr5csWfLBBx+899573bp1s7CwcHZ29vT0/PDDD4OCgr766qvY2NjU1NSCgoJff/2VLQVBEARBEARBkGeAwZyTk3P06FGwohcuXAhGdZcuXWxtbYcMGfLRRx+tW7eOHJz6888/szkRBEGQvxKVcHBX5cmTJxcvXvzxxx/ZF5XHzc1t+vTp8hjqTZWZmak8Y1XS+pmlpaXBelZRUcG+04WjoyMUnpWVVYW8DDrlJLi6uoaFhfEedZKbmwuNpZ7NlDt37kA8OVKaUlRUdO7cOdWj6wmqokJvQiQYEEy8HJ0lC1DtL9KugoICWcKXi7i/XqSBlUJQkXIuSHorijdOeEBftGvXjpxxXtkxKelS5stGdUQpEaha4swgMZVScn5+Pnxn0MG9CqCD++uN+HYI3i0NvBsteLcrMPCyM/e9XLp0qUmTJrBzhnol7Q0P8fHxXbt2hYDEr4vnOC5x7ouQ+M2UtKWp3o/B3DLx6NEjX1/fkydPlpSUwNsLFy506tTJ2dmZFKJar0BOsTz6OLhLwkKQ14wa81bEE9wRBEHqOjW2ZCAIgiAIgiBIDfP7778XFhaeP38+Pj5+8+bNy5cvnz17tre3t7Ozs5WVVceOHQcOHDhu3DiNRhMSEhIVFXXy5MmsrKzS0lK2IARBEARBEAR5ffntt99u3br1/fffg828ePFisJC7d+8OBnP//v39/f2XLVu2a9eu1NRUtJMRBEEQJS/q4F4tZGVlhYWFNWjQIDMzUx7PeFNVLyNHjrTVAoso+66S6ClnXFxcUVER7xGpMfTsr1cCby5UL2fOnNm4ceO5c+dOnTrl6+vbokULMhSrMCZrszJrCRqNhnxqTp48yb6rm6CDO1ItzBfeDsG7pYF3owXvdgUGXnblfS/nz5+H7xsU2KhRo/r167dq1Yq4wkv8ugSO46r3RUj8Zkra0lTvx2BumSgvLx8yZAg8QhoS+c4778BSIqhXIKdYHj0d3AWFIK8ZNeatiA7uCIIgdZ0aWzIQBEEQBEEQpFZRXl5+7dq1pKSk3bt3h4SELFiwYMKECe7u7p07d27Tpo2zs7OXl9esWbOWLl36zTff7N+/Py0trbCw8OnTp2xBCIIgCIIgCFJ3uHPnDtjAW7duXbJkycSJE/v27WtpaQn/Tpo0KSgoKDIyMjk5uaCggM2GIAiCIGrUCgf3rl272tjYhIeHM/FeXl6wtjGRtZC6IidCqM39xZsL1cuFCxfc3d2tra1tbW29vb0vX77MptCb2qxM5CWBDu5IjcG7pYF3o4Wetyvwsiu5e/cupLxx4wb7Qu+65PDui1BtZqXux3j06BGkgW+76lUVvHp5qMpTWaqlEKSWU2PeiujgjiAIUtepsSUDQRAEQRAEQeoKT58+LSwsTE1NjYuL+/rrr//xj3/MnDlz1KhRzs7Obdq06dKly6BBgyZOnLhgwYKQkJDdu3cnJSVlZWU9fPiQLQhBEARBEARBXh0PHjz44Ycfdu7cuXTpUj8/v/79+1tZWfXs2XPcuHGBgYEREREnTpy4ffv277//zuZEEARBEP2oFQ7uCIIgSF0BHdwRpAbA+zGQ2k+NeSuigzuCIEhdp8aWDARBEARBEAR5PSgtLc3Kyjp58mRUVNSaNWs0Gs24cePc3d0dHBwsLCycnJzee+89Pz+/hQsXEvf3xMTEq1evPnjwgC0IQRAEQRAEQaqJe/funT59eufOncuXL586deo777zTvn37bt26jR49etGiReHh4ceOHcvNzf33v//N5kQQBEGQFwAd3BEEQZBKgA7uCFID4P0YSO2nxrwV0cEdQRCkrlNjSwaCIAiCIAiCvPb8+eefhYWFGRkZx44d27lzZ0hIiEajmTBhwqBBg7p162ZhYdG9e3cPD48pU6aQ09+joqJOnDhx+fLl4uJitiwEQRAEQRAEUQAGZ35+flJS0rZt24KCgt5//31yLrujo6O3t/fChQu/+uqrhISE7Ozs//mf/2EzIwiCIEh1U50O7uvWrdu4cSN9PHz48MyZM319fX/88UdZqtpCQECAr5a7d++SmGXLlm3fvv35VC+FmzdvXrlyhff4UqlCG1etWrVp0yY2Vg+qnLGyyCviNbDaheFV9HpQ7WPywYMHT548gcDDhw8fP34MAfg3hcO1a9fY/NVKtQ8GVV68Fviikm/U+fPn2XevFHRwRxAEQaQa9FasmoN73dqYSGp7kyqj0wgBe+zAgQOQZv/+/WCksa9fGJ0CVJlaax0hCCKmxpYMBEEQBEEQBEGKioouXbp0/Pjxb7/9NiQk5JNPPpk0adLgwYMdHR0tLCzgXwhDzPz58+EtpIGUkB5ysQUhCIIgCIIgrztPnz69devWyZMnIyIiPv/884kTJ/bt29fS0tLFxWXcuHGLFy/+5ptvyLnsv/76K5sZQRAEQWqE6nRw9/X1ff/990k4NTXVyMgoICBg/fr1eXl58mTTp09fvny5POaV4OjoOHbs2G3btj18+JDEDBgwYP78+c+n+g+MzC/YBG9v708//ZT3+FIRtJHH8OHDP/zwQzZWD8aMGTN37lw29iUgr4jXwBcXhul0XkWvB9U7JsHYNTExefToUUlJSaNGjW7cuCFpXd5Nn2FsbGxgYEAfP/roI7aIaqXKQ1oMM0JefMglJibCBwo0c/DgQfbdKwUd3BEEQRCpBr0Vq+bgrufGRFKs4K8K5d6kyohNne3bt7/xxhsWFhZ9+/Zt3bp18+bN9fzRpv6KEgvwItRa6whBEDE1tmQgCIIgCIIgCCKmuLj48uXLJ06ciIqKCgkJWbhw4ZQpUzw8PHr06GFhYdG1a1d3d3cfHx+NRrNixYpNmzbt27cvNTX11q1bFRUVbFkIgiAIgiBI3eHnn3/Oyck5duwY2HiLFy8eN26ci4uLpaVl3759J06c+Pnnn0dERJw8eRIMv6dPn7KZEQRBEOTV8bIc3L/88ssuXbo8//4/eHh4vGwHVn1wdHRctmyZPEbgsszI/CJNKCsra9y48dmzZ1UfXzaCNvJ4eR4qL4MqNFBPmE5/eRW9cqp9TG7ZsqV///4QSEhIsLGxYV9L0po1axo2bMjGvjRe0pB+kc+CgFrowlWTDu7bt29fgSAIgtQ+duzYUWPeii/u4C7YmEgvbQWvLMq9SZURmDqHDh0yNDQMCAioqKiQtDfqfPbZZxCjj7Ghv6IEAlQLtdA6QhBETI0tGQiCIAiCIAiCvAgPHjzIzs5OSUmJjo4ODQ0NCgqaPXu2t7d337597ezsLC0tnZ2dhw0b9v7773/yySchISE7d+5MSEg4d+5cYWHh//7v/7LFIQiCIAiCIK+C0tLSjIyMuLg4MNjmzJnj6enZtWtXa2vrAQMG+Pn5gY23bdu2pKSk/Pz8P//8k82MIAiCILWMSji4wyK3devWtWvX9urVa8qUKRDz5MmT4ODgHj169OnTZ9OmTdSPZNWqVV26dGnWrJm3tzdxg8jLyzt+/Hh5efm6detat25tY2PjreX69ev79u2bMWOGvKINGzYsWbKE1vjFF1/07NkTKg0PD5cni4mJ8fDwcHBw8PLy+uGHH+SvKLRe9oWaEwlxWQ4LC3NxcXF1daXVMTIvXbqUaYJATqUA+/fvt7KyUj5GR0fPnDmTxgMbN2787LPPSBjK7Nevn729/fjx4y9fvkzTxMbGvvfee6Dt/v37g5wkEmqcOHGik5MTCDNv3rzCwkKanrRRVVSIBxno4+rVq0EV0vMeKoKSlcMDxoa8fNX+OnfunI+PD9hSzs7OkydPvnnzJk1PAKOKOifdvXsXFL5582by+N133y1evFh6viK53/nt27ehzB07djBpBP3Fa6By3PJGiz4CS5yKBHNBp6IIvHHC9M7jx4+XL1/evXt3MnPBqCV9TaBjUp+2CJQJRnOillGjRk2aNAkCU6dOHTJkCATkskkcB3dGZlWN0ZSRkZHKvpA4emOcrnhKk9TmF08M5Qhhxj+vFoHwhFrowlWTDu5s3QiCIEitoca8FXkO7oypUIWNiaRYwcHU4RljktDskTi2LoNya0BR7k1UjQd9zDO5qcPUCPrp1q0bCVOgOVA7CfMsE6WpI3EklPSztXjmqMAeptRC6whBEDE1tmQgCIIgCIIgCPLyePr0aWFhYXp6+rFjx8gB8IsWLZo6daqnp6ezs7OVldV//dd/ubi4eHt7w9b+008/Xbt2bXR09KlTp65cuVJUVMQWhyAIgiAIgrwYv//+e15eXnJy8vbt25ctW+bv7+/u7g4mWZcuXYYNG/bRRx998cUXe/fuvXDhwoMHD9jMCIIgCFJHqISD+4ABAywtLYcPH75jx459+/ZBzPLly83NzdetWxcTE9OvX79WrVoRf4vExERfX19ra+tdu3bFxcVBTEREhIGBQX5+fkpKiqOjo4eHxy4txcXFOTk59evXT0pKIrWUlZW9+eab69evJzVCmaNGjYJCoC4jI6OtW7eSZOHh4WZmZhB56NChwMBAExOTtLQ08koOrZd9oeZEAtW1adNmzJgxe/bsWbp0ab169aBwiGdkPnr0KNMEgZxKAaZNmzZr1izl46VLlyAlbcXjx49B26tWrZK0vubQQAhD+WCFtGjRoqCgQNJ6e0BdCxcuPHjwYGRkJHXsXrlyZXBwcHx8/O7du3v37t23b9//VCZUqb29/b/+9S+a0tvbm/Sm3ENFXDIzPOQZVfurtLQU+ho0kJCQAFkCAgIyMzNpgYTc3FxQCygHwlFRUSCwi4sLeQWqmDNnjvR8RdTB/eLFi+3atQPdgiaVaXhK4DVQOW55o0UfgXkV8eaCPoqS+ONEUvQOdEHTpk3DwsJiY2PfffddOnMJdEzq0xaBMq9du2arxdDQEPoCAvC2bdu2EJg7d+5/KtOi6uDOyKyqMZpStS94epMPBoHSVOcXTwzlCNGzFp7wlFrowoUO7giCIIhUg96KPAd3xlSowsZEUqzgGRkZqsYYrZFn9qjauuSVHOXWgMLsTXjGgz7mmdwIkdcI/0JYubyGhoZC/O3btyW+ZaI0dXgSSvrZWjxzlGcPk0dCLbSOEAQRU2NLBoIgCIIgCIIgrxBJ+58Pqamp+/fv37JlC2wENBrN+PHjBw8e3KNHDwsLC3t7+wEDBnh7e0P80qVLQ0NDo6Ojk5KSLl++XFhY+Pvvv7MlIgiCIAiCIFr++7//OysrKyEh4auvvvr73/8+bty4Xr16tW7dunfv3hAOCAgIDw8/cuRIdnY2pGQzIwiCIEhdpnIO7h07dnzy5Al5LCsra9asWUhICHm8d+9ekyZNqJvssmXL6EGAQFpaWmBg4MOHDyW12+3JfXYkvHPnTjMzs+LiYklbo7W1NXFQBjQajZ2dHQTKy8tbtmwpd3aZNGnS2LFj6SNFXi+DqoM7RNIGDho0iHpmMDIzjzw5JYUAULilpeXhw4dVH11cXKjj74EDB4yMjPLy8qCxoGfqeg6PVlZWYJ2A/ps3b06PeOdBHFkyMjLIo0BUfRzc5ShLlg8PSZaR11+XL1+GEnJzc2m8Kra2tuTw7OnTp/v7+xsbG8PwqKiogPEWExMjKZzX58+ff/z48RYtWgQHB9NCmDQ8JchhGqjsdN5o0Skwg7wi1bmgj6J444Q8ynuntLTU3Nx8w4YN5BUMTtAVrZQZkzrbolOZIHbDhg1LtECAnPfJwHNwZ0YURTn2VPuCpzf5yOQpTZ/5JR4h+tQi8YWn1EIXLnRwRxAEQaQa9FYUOLhTU6HKGxNJsYKrGmPkkWf28Gxd+kjRc28iNh50mmdyu1de45kzZ8Cu2Lt3L3lFiY+Ph/iUlBRJaJnIFSWWUKcVJDZHBV1AqIXWEYIgYmpsyUAQBEEQBEEQpDbz8OHDa9eunTlzJjo6Ojw8fMWKFRqNZty4cUOGDHF2drawsLCzs+vVq5e3t/eHH37497//PSQkJCoqKiEhITU1tbCwEL21EARBEAR57fnjjz/I0bHffvttcHDwjBkzhg4d2qlTp//6r/8aNGjQ1KlTly9fvmPHjuTkZEgGidn8CIIgCPLaUTkH92nTptHHzMxMAwODixcv0hh3d3eeH4kcpYN7XFycqakpcVwYOHCgv78/iYca/fz8aLL4+HhDQ8OHDx+eO3cOqv7ggw8CAwMXL14cEBAAVXfp0oWm1AdVB3e5YNBYT09PEtbp4K4qJ42hgBXStGnT8vJy1cfQ0NC33nqLPPr4+AwfPlx65qQLTX5WhjRlyhSwYNLS0gxkJ77LycvLW7BggZubG+gEDB0QJjY2lrwSiKqPg7u4ZPnwkGQZef0FLe3cufPbb7+t0WgOHjxYVlYmz06ZPn066QhbW9tDhw5169Zt7969iYmJDRo0IGOGcV7v3r27ubk5mHTyQpg0PCUIGqjsdN5o0SmwxK9IdS7ooyjeOCFhee9kZGRASvkZ8IMHD6YzlxmTOtsiUCYhIiKiX79+EEhISOjQoQONl8NzcJePKJ7GSErVvuDpjQ4GgdJ480sgBs/BXVCLxBeeUgtduNDBHUEQBJFq0FtR4OBOTYUqb0wkxQquaowReGYPz9alKfVBvjcRGw86zTPez1OJefPtt98y8dHR0RB/9uxZSWiZyBUlllCnFSQ2RwVdQKiF1hGCIGJqbMlAEARBEARBEKRO8/jx47y8vNTU1Pj4+O3bt4eEhCxYsMDf39/Ly8vZ2blDhw5WVlYQGDZs2KRJkzQaDew1Nm/eHBMTA1lyc3MfPnzIloggSN1h9erVXyAIUteAmctOZkRvHj16dPHixf3794eGhoLNM3bs2J49e1pYWPTq1cvHx2fhwoVhYWEHDhzIzMwsKytjMyMIgiDIX4bKObjPnz+fPqamphoYGOTk5NAYT09PffxIlA7uT548sba2Xr9+/dWrVw0NDU+fPk3iocZZs2bRZCdOnIAa79y5k5SUBAGNRrNMBjnIUH9UHdzlDfzwww+Ji7mkkFnp66wqJ42hLFq0yNfXl/dYVFTUqFGjmJiYe/fumZiYfPfdd9IzPYNmaLIZM2a4ubklJydD/OXLl2k8pUePHkOGDAFDJy0tLT093cjIiBQlCUVlHNxHjx6tdHAXlyzXniTLKOiv+/fvg602YsSIxo0bwxiQN5MSFRXVrFkzGGmgnJKSEigHmhAUFARWHUnAOK/36dPH1NSUcY1l0vCUIGigstN5o0WnwBK/It5c0Kko3jghYbm0xLcpKyuLppQfk8mMSZ1tESiza9euVlZWTZo0MTMzg8Abb7wBoxoCvXv3pukJPAd3uYZ5GlOmlPeFqt7oYBAojTe/BGLwHNwFtUhC4Qm10IULHdwRBEEQqQa9FQUO7nQNrfLGRFKs4DxjTOKbPQJbV3/kexOx8aDTPOM5uINdVL9+/X/84x9MfHBwcL169WADIgktE7mixBLqtILE5qigCwi10DpCEERMjS0ZCIIgCIIgCIK83vz73/8uLCxMT08/ceJEdHR0SEjIkiVLZs+e7e3t7ebmZm9vb2Fh0a1bt4EDB0LMvHnz4C2k2bNnz9GjR1NTU+/evfv48WO2UARBagerVq1i/0MBQZBaz4oVK9jJjCj45ZdfcnNzv//++y1btgQFBfn5+YGt0qFDh86dO7/33nszZ85cuXJlVFTU6dOnCwoK/vzzTzY/giAIgvy1qbqD+7179wwNDePi4miMjY2NPn4kw4cPhxWaiVy+fLmDgwOU3717dxo5QAt9DAsLa9KkCQRgUa9Xr57y9MFKUSkHd0Zm5pEnpxIwUHbt2sV7BMaMGTNq1KgNGza0bNmSHDhdXFwMet69ezdN4+rqChbP3bt3QQnMOeXAzZs3DQwMLl26RB4hAI9yV2CeqP369Vu0aBF9BR3BOLjrLJnn4K5Pf92/f9/Ozk6j0bAvJIm0dMaMGUTy/fv3d+rUyc3NLSAggCRgnNdBjGPHjjVu3BgGFS2ESaOqBHEDlZ3OGy06BRZXpDoXKDxF8cYJCculffDgQYMGDejAq6ioaNu2LZ25zJjU2RaeMiXtUfHnzp2ztLQEMx0C9vb28GGBAG04RaeDu1hjgr6gyPVGB4NAaarzSyyG8iuhsxZJD+FroQtXLXdwX7du3caNG+nj4cOHoV98fX1//PFHWapaBMwmXy0w6iTt6rl9+3Y20csBhvSVK1eU4VpIeXk5bOl37twJylFerfCSkOsEPmiwikVFRWVnZz+f6v87Yh4/fjwiIiI5OVn/V0BpaWlKSoryB0vyegUlCESSdHVo9Q4zcV3VDqxioBYIPHz48PHjx8zbR48eHT16FDQGBmpubi7ztlZRUlICHygQNSYm5tq1a+zr56neLtMf+KKSD9T58+fZdzXoraiPg3uVNyaSYgWX+MYYz+zRx9bViXxvIjYedJpncruXYfDgwVZWVvLrgOAD2759+3fffZc8CiwTuaLEEuq0gsTmqMTvAkIttI4QBBFTY0sGgiAIgiAIgiDI/fv3s7Ozz549Gx0dvXnz5i+//FKj0fj5+Y0ePdrZ2dnOzs7CwsLJycnd3V3uBL979+4jR46kpqYWFBSgEzyCvBLQwR1B6iLo4C7n999/z8/PT0lJiYqKWrly5UcffTR8+HAHBwdra+v+/ftPnjz5888/B+Pk2LFj165d++mnn9j8CIIgCIKoUXUHd8DLy8vJyYn45K1evbpevXo8P5JDhw5BdnIu4KxZs3r16nXr1q379+8TFyUAlvmGDRuamJhs2LCB5oIs9evXJ/6jOTk57du3nzt3Lnk1fvx4MAKol1t6erqql4O8XoZKObgzMjOPAjnlAly9ehXaCFnIK+aREBcXB5Fg4sgPkhw7dqy9vf3NmzchvGXLFkNDw6SkJAj7+PhAXcTlqLy8/Pjx45LW38vIyGj9+vWS1tfH3d0d0stdgXmizps3z8bG5s6dO9Ai6AVIxji46yyZ5+AucforOzt7//79xDutoKAAhCEu6Zs2bWJ8fKGzjI2Nly5dKmnFgDBIcuTIEfJWXhEVA1TUrFmzwMBA1TSqShA3UNnpvNEi6RJYXJFyLvAUJT2vK944kRS94+/vD4WcPHkSmg/tMjU1JX2tOibFbeEpk3D9+vVGjRqVlpaWlJRAyTdu3KCv5Oh0cBdrjNcXPL3JB4NAacr5JRaDGSF61sITnlILXbhquYO7r68vXYlSU1OhywICAqDX8vLynk8oTZ8+Xf4zmFcFTDEYIdu2bYMBJimGhBylwMqYSuHt7f3pp58qw7UQ2PDDl6qLFjA2RowYIffOfElQnfTs2RMq7dChA6ySDRo0oCsLAGIMGTIElhvoODMzswkTJlDDRvCKoNFoYIKPHDlSHinJ6hWUIBCJIO5QwTCrAuK6qpfc3FxYHx89egTLCqwvzLKyZ8+e1q1bm5ubg35gqMD0B0uVUfsrQTlVYQkGUd98883evXtDP0Jviudy9XaZ/iQmJsLXibcS1Zi3oj4O7lJVNyaSYgWX1IwxgsDsUbV1n+X7P/TfmwiMB5JYYJ7JjRCmxgsXLsD3xNPTE4w0SfsDFdAbxEA8SSCwTBhFCSTUxwrimaMEXhcQeGMSQZBaS40tGQiCIAiCIAiCIDr5888/CwsLs7KyiBN8RETEmjVrNBqNv78/4wT/zjvveHt7z5079/PPPydO8AkJCampqXfu3KmoqGDLRRDkxUAHdwSpi/xlHdyLiorS0tLAkAArYt68eV5eXj169GjTpk2fPn18fX0XLlwYGhoaFxeXnp7+8OFDNjOCIAiCIJXhhRzcr1+/7uDgYGRkRLyvPD09eX4kERERBgYG+fn5ktaJtnfv3iYmJhCTkZFB0/j4+DRu3PjBgwc0BsqEArt169aiRYt69eq5ublR5wxINnny5AYNGjRv3tzU1BT+BfuAZqTI62WolIM7IzPzKJBTLgBodfDgwbR85pFQUVHRunVryHL27Fkaefv27X79+kHJTZs2hUrp7q64uHj06NGGhoZQr7Gx8dChQ0k8mFDw2KpVKzMzM6gF9CN3BeaJeuvWLXt7e1Ap5Bo5ciTtTbmHirhkgYO7an+BwffWW29BgWDnNWzYcMSIEcS/MzAwkDkCH0oGndDza11dXYl/G3lUdXCXtL6tLVu2ZA7tJml4ShA0UNnpvNEi6RJYElYkKeYCT1HS87rijRNJ0Tv379+fMGECVA0dAfFQINjcEmdMitsiUKakdWMCkSBw5MgRW1tbGs+g08FdEmqM1xc8vckHg0BpqvNLIAYzQvSshSc8pRa6cNUhB3cQtUuXLs+//z88PDzkPyV6VTCLkfJbSlEKrIzRn7KyMvjOkLVGHq6dZGdnU4/2lJQUWE3Cw8OfT1LNyHUCcxaWSBK/YcMGmJWJiYnkceXKlWACkZPC09PT4VOzbds2na8A+KhaWlr26tWLcXCX1ysoQSCSpEeHCoZZZdFZV/UCy0r//v0hkJCQYGNjI38FC039+vXnzJlTUlJCYkB1sJ6Wl5fLk70SlFMVhPfy8qKjOicnR6zDauyyKsBbiWrMW1FPB/eqbUwkxQpOIpUbE0lo9qjauvK8BP33JgLjQdJlnsmNEGWNP/zwg7OzM1g45ubm8K+TkxPE0LcCy4RRlEBCfawgnjlKUe0CAm9MIghSa6mxJQNBEARBEARBEKS6KCwszM7OTk1NJU7wISEhxAne29ubOsH36NFj4MCBEPPRRx8tWrQI0kRGRkJ6yPXjjz9CCU+fPmXLRRCEAzq4/6XIysq6ePEiG4vUQV57B/fi4uJz587FxMSsXbt2/vz5Y8aMcXFxad26NRgDYABADMTD2/Pnz0NKNjOCIAiCINVBJRzcVXny5AmYnrBLZ19UHjc3t+nTp8tjqINFZmbm1atX5a8IYCKkpaVlZ2dXVFSw73Th6OgIhYPpXIW8DDrlJLi6uoaFhfEedZKbmwuNpZ7NlDt37kA8ORaRUlRUBGaW6vGQBFVRoTchMicnh4mXo7NkAar9RdpVUFAgS/hyEffXizSwUggqUs4FSW9F8cYJD+iLdu3akVPJKzsmJV3KrF4EGhOgj94ESlPOr6qJIQlrUSU/Px8+ULXQheuVO7gHBQVt3boV9oq9evWaMmUKfLiCg4N79OjRp0+fTZs2UQf3VatWdenSpVmzZuQ/lyEmLy/v+PHjxNt13bp1sPO0sbHx1rJ58+YZM2bIa9mwYcOSJUtImNT4xRdf9OzZEyplXKthy+rh4eHg4ODl5SX3EZQjr5pB1cEdZiLsjWFK0roYga9fv66MEcipFGD//v1WVlZMOCkpifqD3r17l2iGPH733XeLFy/WJ43OBCRMqWx6oG3btoIjw6Hh/fr1s7e3Hz9+/OXLl0kkM2wg5vHjx8uXL+/evTsZOSEhIfIPoFw/ciCXsbExTdmtWzfqxAl4enrCYND5qqysrHPnzjt37oQYxsFdXq+gBDmMSNLzhcD3ysfHp2vXrs7OzpMnTyZfM7kD6+3btyF+x44d5FFVe7xyJIWiYmNj33vvPZh6/fv3hyFKInllKjtF4kyo0tLSRC2jRo2aNGkSBKZOnTpkyBAI0AJh2IN4gvPaVcUAGSIjI5UzjqDaHIkjJG8CKqdqSUkJfNu3bNlCC2RQ1sv7MhBU5ZGetQ40DL0G4zw6Ohr0A99GJyengQMHJiQkyMrgFiLxnYlrzFuR5+Cu5KVuTCQ9zB5VW1dPVPcmlTUe9OfWrVvKHUQV0FNCcTK5OUpR7YJaax0hCCKmxpYMBEEQBEEQBEGQmqSoqIg4wcfGxu7cuTMkJCQwMHDu3Lne3t6DBg1ydnZu06ZNu3btIDB06NCxY8dqNJqgoCBI9t133x08eBAy3rx58/79+2y5CPKXBB3c/1JMnDiRHJOH1HVeGwd3ciI7dWSHVbtXr16wjnfv3n3UqFGwuK9evXr37t1nz569e/fun3/+yeZHEARBEOSl8aIO7tVCVlZWWFhYgwYNMjMz5fEv9bjKkSNH2mqhZ6BWGT3ljIuLA6uI94jUGHr21yuBNxeqlzNnzmzcuPHcuXOnTp3y9fVt0aIFGYpVGJO1WZl1HY1GQ75RJ0+eZN+9Ul65gzuMOktLy+HDh+/YsWPfvn3Lly83Nzdft24dbDj79evXqlUr4i2dmJgIw9va2nrXrl0wtqXnT7FNSUlxdHT08PDYpSUjI6N+/fpJSUmkirKysjfffJN62kGNUCzsXaEcqM7IyGjr1q3kVXh4uJmZGUQeOnQoMDDQxMQEtr7klRzlAboUpYM7bJXHjBmzZ8+epUuX1qtXD0qWFAIXFxcrYwRyKgWYNm3arFmzmHBubi4ku3TpEoSjoqKgBBcXF5Jm2LBhc+bM0SeNzgQkTNE/fXl5eWFh4dq1a01NTVX1DMCwIScEgxIgO3zfyO9bmGEjaW/AaNq0KXxyY2Nj3333XTpyCHL9yIEvJ0h75MgR6Zln+YYNG+jbzz//HGoRvwIWL14Msknag70ZB3dar7gEOXKRCLSQ0tJSGMnwmJCQAK0OCAggiwv9dF+8eLFdu3aQGKqT+NrjlSOvS9L+LAS6b+HChQcPHoyMjCRV8MokYjCdwptQ165dI99DQ0NDEBgCUFHbtm0hMHfuXEn7YyR49cUXX5CSlfDE4M04idMciS8kbwIqpypEQiucnJxgFVa6QavWK5CTJw/JBRqeOHHi3r17YSqBdTFlyhQ/Pz94hI6DeZSXl6ezEKlOObhXCwJj7KWaPdW4N6kT8MxRSdgFtdY6QhBETI0tGQiCIAiCIAiCILWNX375pbCw8NKlS6dPn46Ojt68eXNISMj8+fOnT5/u7e3t6urq6OhoYWHxt7/9zdnZ2cvLa/LkyRqNZsWKFaGhoZD++++/T01NvXv3bmlpKVs0grxeoIP7Xwp0cH9tqFsO7r/99tudO3fOnDmzZ8+eNWvWfPzxx97ai1lgIe7Zs+fo0aPnzZtHHNl/+OGH/Px8SM8WgSAIgiBIjVMrHNy7du1qY2PDnEYJwDY+KCiIiayF1BU5EUJt7i/eXKheLly44O7ubm1tbWtrCya7/DzdylKblYm8JGqDg3vHjh3JOc1lZWXNmjULCQkhr+7du9ekSRPqprxs2TJHR0eaMS0tLTAwkB4f6+HhQU52JwwbNoxm3Llzp5mZGfFDlbQ1wnwhHsCS1rvOzs5O0vpbt2zZUu55OWnSpLFjx9JHClO1HKWDO8TQU6gHDRpEz/BmBFbG8OSUFAJA+ZaWlocPH2bCAHwWyInR06dP9/f3NzY2Bj1UVFSAYmNiYvRMozMBgz7piRs3YGJismvXrufyPwN6BMbDv/71L/poZWUVEBAgPT9sJK3Htrm5OXUfB820aNGCDgBGJxTI1bNnz379+pFyioqKQJ5vv/2WJlizZg2IJ34FffHGG2/k5uZKCgd3eb2CEuQwIknPFwKfdyiE1CWHOOkeP34cWh0cHEwiBdrjlSOvCyZj8+bNP/vsM3kCQZmSolN0TigQoGHDhiVaIHD9+nX66uzZsyDh3r17aYwcgRi8GafaHEkopGACKidvYmJi+/btQWZTU1OolP4WhVcvT06BPCSXk5MTCZPOcnV1JY8wv6Cibdu2SboKkf56Du4CYwzNnmpEYI4KugBBkDpKjS0ZCIIgCIIgCIIgdZSKiorCwsLU1NTvv/8+Ojo6NDR0xYoVGo1m8uTJXl5ezs7OnTt3trCw6NSpE/GDnzBhArxdunQpOQ9+//79kDc7OxsKefr0KVs6gtQF0MG9GtH/8mTVy115l/pKnMtyGVSzM3dNyx3c9b+NFkqAjBDfq1evefPmwRePvhLc26zaRqS60Ong/tNPP7FRL59ffvkFBh5MhF27dq1cufKjjz7y9PR0dHRs27Zt7969YXx+8sknMORgbKSlpcFAYvMjCIIgCFKbqBUO7giCIEhdoTY4uE+bNo2EMzMzDQwMLl68SN+6u7vzHNwZGJfTuLg4U1NT4tQ+cOBAf39/+gpq9PPzo4/x8fGGhoYPHz4kLtcffPBBYGDg4sWLAwICoPYuXbrQlPqgdHCXSwUthf02CSt9ZJUO7qpy0hhKSkpK06ZNyf8iycOS1sWc1Ghra3vo0KFu3brt3bs3MTGxQYMG1ONfZxqdCRj0SQ8S5ubmgs5Bz8bGxvT4ajnEDxvS0JgpU6YMHTpUen7YABkZGZBSfjbw4MGD6chhdEKARxDSzs6OHnoNskEhcm97mB0wigSvKioqunfvTrz5JYWDu7xeXgn0UVITSXq+EPi3c+fOb7/9tkajOXjwYFlZGUkD2gAxzM3Nd+zYQTMKtMcrR15XWloaZGdO1heUKSk6ReeEioiIIP/dmZCQ0KFDBxovPatd/nsAOQIxeDNOtTmSUEjBBFROXknrcZ6cnLxq1SrICGV+/PHHEr9enpwCeZS5XFxc5KePQ7KVK1dKugqR/noO7giCIEi1U2NLBoIgCIIgCIIgyOvNo0ePiB98YmJidHT0119/Tc6Dnzlzpre398CBA52dnS0tLa2srCAwaNAgiPzoo48WLFgAyTZv3gxZkpOTz58/D4VUVFSwpSPIKwUd3KsRPS9PVr3cVXCpL++yXDm87Mxd03IH9wF630a7cuXK4ODg+Pj43bt39+7du2/fviRe4t/brNpGmgt5cQQO7nfv3l22bNkvv/zCvqg+ysrKrly5cuTIEVjjgoKCpk6dOmTIkM6dO1tbW8MAGz9+/N///ncYFTBi09PTHzx4wOZHEARBEKQugA7uCIIgSCWoDQ7u1EczNTXVwMAgJyeHvvX09Kyag/uTJ09gr7t+/fqrV68aGhqePn2avoIaZ82aRR9PnDgBld65cycpKQkCGo1mmQzqu6wnSgd3uQfqhx9+OHz4cBJW+sgqHdxV5aQxlEWLFvn6+irDkvb/uZo1awYqbdSoUUlJCbQOygwKCurVq5f+aXQmYKhs+nfffXfYsGFs7LPxAD1IY2bMmOHm5iYpFEvciLOysmiM/Ah/RieS9rjr0aNHt2/fXn5qOIwZU1NTeoGApM0Io0jwat++fcbGxtC6j7S0a9euQ4cOECD/Ayivl1cCfVQVSVIIf//+/dDQ0BEjRjRu3BiyE+WANvr06QPly2eZQHsSpxx5XcnJyZCdOa5DXCbTKYIJ1bVrVysrqyZNmpiZmUHgjTfeMDExgUDv3r1JXhCvfv36S5cupaXJEYjBm3GqzZGEQgomoHLyMkBGIyOj8vJyXr08OQXyKHOBugIDA+mjvb09OdVeXIiEDu4IgiDIC1NjSwaCIAiCIAiCIAgC/Prrr4WFhT/++GNqampsbOy3334bEhISFBSk0WjGjRvn6enp7Oz8t7/9zcLCwsHBwcXFxdvbe9KkSfD2H//4B6TctWtXdHQ05L148SKU8+TJE7YCBHkJoIN79aLz8mTe5a68S33L+ZflyuFlZ+6aZhzc9bmNliE/Px8qysjIkPj3NvPaSB+RF0fVwf23335btGhRx44db9y4wb6rPL///vvdu3dhVYK1CUb1woULYS2D8WNtbd25c+fBgwdPnToV1rjNmzcnJCRcuXLl0aNHbBEIgiAIgtRlqtPBHYyJjRs30sfDhw/PnDnT19cX9s+yVLUFsLZ9tYAxRGKWLVu2ffv251O9FG7evAl2Fe/xpVKFNsJmctOmTWysHlQ5Y2WRV8RrYLULw6vo9aDax+SDBw9gOypp95OPHz+m8VlZWSlaYENy7do1kkZOtXdc1ZB/3EBm+XnhtZAXVxq0l3wez58/z76rZQ7u9+7dMzQ0jIuLo29tbGz0dHAfPnw4LFLymOXLlzs4OEDh3bt3l8cP0EIfw8LCmjRpAoGCgoJ69erxDo3WE/0d3JUCMzE8OZXAbp8eDS4PS9qbCqFRM2bMIEXt37+/U6dObm5u8v+i0plGZwKGyqaHhr/zzjtsrPbUcxgPu3fvpjGurq7kUG1GsfBRatCgAW14RUVF27Zt6chhdAJfLR8fHysrq+zsbBpJ6Nev37hx4+gj1DJmzBjBK/jWTZUBlVpbW0OAuEEz9aqWQMICkZhCKPfv37ezs9NoNNIzbRw7dqxx48Yw7EkCgfbkyMuR10U6UX4kvKSrTKZTBBMqIyPj3LlzlpaWW7ZsgYC9vT1YqhAgp48QPDw8QJ+lpaWyfP///zQloRi8GafaHEkopGACKicvw4YNG0BC0C2vXp6cAnkkRS6eg7u4EKnOOrjXrY2JpNib1KSp+Qr3JpWlvLz89OnTO3fuBOXU2EE7coXA5wgmS1RUlPLzC3bs8ePHIyIikpOT9X8lab9UYAzLf4RDkNcrKEEgkqSrN6t3mInrqnZ4+wvCo0ePjh49ChoDK1H557RaRUlJCXygQNSYmBjYELGvn6d6u0x/xLsD6IhTp05FRkZCQ5R9QaixJQNBEARBEARBEASpFLCtvnPnTmpq6vfffx8dHR0eHh4SErJgwYLZs2d7e3sPGTLE2dm5Q4cOFhYW9vb2EB41ahRsDzUazaeffgopt27dCrlSUlLS0tIKCwthk8tWgCB6gw7u1YvOy5N5l7vyLvXlXZabnZ294RmZmZm87AyMg7s+t9ECeXl58IFyc3ODyE6dOhkaGsbGxkr8e5t5baTJkBdH6eB+9OhROzs7WDhggWBeiYHBk5WVdezYscjIyH/+858zZ84cMWKEo6OjpaUlLECwKs2bN++LL76IiopKTk6+efPmzz//zBaBIAiCIMjrSHU6uMOGljqHwU7YyMgIbMT169fTO4MIYExTb6pXCFhCY8eO3bZtG/2dKOMGJIeR+QWbALYXbPt5jy8VQRt5DB8+/MMPP2Rj9WDMmDFz585lY18C8op4DXxxYZhO51X0elC9YzI3N9fExOTRo0clJSWNGjW6ceMGfQV7V9hFv/HGG82aNatXr16TJk38/Pxu375NE7x4x8mp8syVf9zk+20BVa6rCjB1vbjSEhMT4dvI82isVQ7ugJeXl5OTE3EHhCwwkHgO7ocOHYK89+7dI4+zZs3q1avXrVu37t+/Txyk8vPzGzZsCMOV/sSfALnq16//3XffQTgnJ6d9+/ZUw+PHj7e2tqY+dunp6apKY6qWo7+Du1JgJkYgp1yAq1evQjMhCxOmgEjGxsbkMGxYIiEMC/qRI0cqlUZngk2bNtGm6UwPow5EraioKC4uDgsLg2bSo82ZcmBlt7e3v3nzJoS3bNliaGiYlJQkKRQL+Pv7g4pOnjwJugJNmpqakpGj1MmkSZPMzMz27duX8Qx6hWJkZCQkPnHiBISjo6Nh+CUkJOh8RfHw8Bg5ciQJK+sVlMATiSkkOzt7//79xNWsoKAA2ku+FVQboBz4/FKnZ572VMtRCuzj4wOviOtbeXn58ePHBWVKap0imFDXr1+HFaS0tBSWEqhXvpQQLl26BIvIkCFDIJekFSA+Pr5r164QkPhiCGacanMkvpCCCchMVVgQYVmBsQdtgbcXLlzo1KmTs7MzSaxar0BOnjySIhfPwV0SFiLVWQd3PTcmkmIZfVUwexPlBKEoBVbGVIpXuDepLJMnT4bPdRct8FUcMWIE7w8k1QhVSM+ePaHSDh062NjYgAUrn1AgBnx/4IsKHQff5wkTJtDfbQpeETQaDcwyuhxQaL2CEgQiEcS9KRhmVUBcV/Ui2F8Ae/bsad26tbm5OegHhgpMfzAXlb+krXmUUxXWAhD1zTffhE809CP0pnguV2+X6Y94d2BnZwcbOhcXF5ie8C9Z3RhqbMlAEARBEARBEARBXhLFxcV5eXmpqaknTpyIjo7++uuvQ0JCFi5cOG/ePG9v7+HDh9NT4WGfCOFhw4YRZ0RIAym/+eYbyHX8+HEo4ebNm4WFhU+fPmXrQP7aoIN79aLz8mTB5a6ql/ryLss9efLkoGfEx8fzsjMwDu56/i2jR48eQ4YMOXDgQFpaWnp6upGREfmjDO/eZkEbkepC7uBeWlo6dOhQWAisrKw+/vhj2fz+P3799VdYTc6cOQOLAqwOn3zyybhx41xdXdu3b9+xY0cYRdBxn3766VdffQUdDb0Mw4ktAkEQBEGQvxgvy8H9yy+/5P320cPDQ/4TzFcF41MoKUxnOYzML9KEsrIyMOXPnj2r+viyEbSRR5Ud3F8JVWignjCd/vIqeuVU+5jcsmVL//79IZCQkGBjYyN/Jd+7woYHdimdOnV6++23yWHG1U6VZ24VHNyrXFcVeEl18VxYapuD+/Xr1x0cHIyMjIjjl6enJ8/BPSIiAhpFXZOvXr3au3dvExMTeoGdpHUthfH/4MEDmkvS1ghlduvWrUWLFvXq1XNzc6Ou6pBy8uTJDRo0aN68uampKfwbGhoqz0tgqpajv4O7UmAmRiCnXABY4gcPHkzi5WEKCACJ6Rmxrq6uxIesUml0JggMDJQfMC9OD800NDSERkEa6OilS5dSNzWmnNu3b8MMhZRNmzaFEuj/hyo/2vfv358wYYKZmRn0GrwaMWLEvHnzJDWdNGzY0OB55P+zBnlh+IHOIVlwcLAsn+gVQe7grqxX4pfAE4kpJC0t7a233jI2Nm7Tpg1kgTYqHWdTU1NbtmxJTmTnaU+1HKXAxcXFo0ePhp4CgSHx0KFDBWVKap0imFCwlJBv75EjR2xtbeW5KOfPn4cyoa5GjRrVr1+/VatW1E2QJ4Zgxqk2R+ILKZiAzFQtLy8fMmQIPEIyEvnOO+/Q/3hVrVcgJ08eZS7BfwoLCpH4y0GNeSu+uIO7YGMivbRltLKIlwM5SoGVMfrzavcmlSU7O5t6tKekpMCgDQ8Pfz5JNSNXCHw6bt26ReI3bNgAUyMxMZE8rly5EpYnclJ4eno6fCrptbmCVwAsfJaWlr169WIc3OX1CkoQiCTp0ZuCYVZZdNZVvQj2F7BMwBIwZ84c6mYNqgMDj/ze6dWinKogvJeXFx3VOTk5Yh1WY5dVAd5yEBYWVlFRAYGLFy/C+hUZGcmmqMElA0EQBEEQBEEQBHnlwD63sLAwPT0dNrnR0dE7d+4MCQn5xz/+odFopkyZ4u3t7erq6uzs3KZNGwsLCwj07dsXIidNmgQJlixZAolhawkZk5OTU1NT8/PzobQ///yTrQZ57UAH9+pF5+XJOi93lZ6/1FdwWS4PeXaGKji437x508DAgF7tCwF4JA7uvHub9Wkj8oJQB/elS5eSD3vHjh2hc2/dunXhwgUYeF999dVnn33m7+8/ePDgLl26WFlZQRePGTMGBsaXX34JPZiSkgKJ8Th2BEEQBEF4VMLBPSgoaOvWrWvXru3VqxfsPyXtVdTBwcE9evTo06fPpk2bqB8JbD/ANGnWrBlsR8lfcPPy8o4fP15eXr5u3brWrVvb2Nh4a7l+/fq+ffvAsJZXtGHDBti+0hq/+OKLnj17QqWM+0JMTIyHh4eDg4OXl9cPP/wgf0Wh9bIvFE4k0jPTOSwszMXFBcxxWh0jM1hmTBMEcioFABsOjDblI2zUZ86cSeOBjRs3gqlHwlAmWIFgvo8fP/7y5cs0TWxs7HvvvQfa7t+/P/2xKdQIWwInJycQZt68ebDtp+lJG1VFhXiQgT6uXr0aVCE97+AuKFk5PGBsyMtX7a9z5875+Ph07drV2dl58uTJ5GhVOUlJSdQ5CbZhoPDNmzeTRzB2Fy9eLD1fkXz/c/v2bShzx44dTBpBf/EaqBy3vNGij8ASpyLBXNCpKAJvnDC98/jx4+XLl3fv3p3M3JCQENLXBDom9WmLQJmlpaWJWkaNGjVp0iQITJ06dciQIRCgsimdxaFppqamn3zyCXlUdpx8jEmccSWpTQ1lJwqy8z5u0vMyg0iRkZHKYVCpupTtUh0eBH3axUw9wahQFZ7Cc2F55Q7uSqC/Ll68+OOPP7IvKo+bm9v06dOZSPphyczMVD1moLi4OC0tLTs7mzj3VApYjKDwrKysKuRl0CknAbqbTnl5uJYDE+H8+fPXrl3TR1G5ubnQI/SGFp1Ame3atVu/fr1UJZ0UFBRAdaon9AteMfDq1b8EiVMI0QaUw8Tz4GmPKUe1LuDOnTuQjFmneGWq8iITStIuWJBdecS7VEkxCKrNkdSE1HMCUh49egTJLly4oNq5vHp5KOWpAspC8vPz4evEWw5qzFuR5+DOLKC8tVuwMZEUyyiYOjxjTBKaPRJ/oZej3BpQVB3clcu0ct1XxgjkVAqgujfRxwjUmUZnAhKmVDY90LZtW8GR4aomkNLu0tMwZoBcxsbGNGW3bt3kPwn29PSEwaDzVVlZWefOnXfu3Cn/vRNBXq+gBDmMSNLzhajuJnhbJ4mjPV45kkJRSpNV4pep7BSJM6H02V/AsAfxBOe1q4ohNoxVmyNxhJQ43wrlVC0pKYEP7JYtW2hGBmW9vC8DQSAPtA40DL0G4xx2/aAf+DbCdmPgwIHMDTO8QiT+7oACi1f9+vXpnxLl1NiSgSAIgiAIgiAIgtQh/vjjj8LCwtu3b9OD4SMiIkJCQgIDAzUazbhx42AHDTtr2F9bWFhYWlpSb/gJEyZAgs8++wwSQxbI+P3330MhsN2GAn/55Re2JqQugA7u1Y748mSJc7mr6qW+JAHvslw5vOzMZddVcHCHJoD85G95UI67uzsIQBzcJf69zaptJGGkWlixYkVKSkqnTp0sntGhQwf4Yjs5OXl6ekJf/POf/9y6deuxY8euXLlSWlrKznwEQRAEQRBdVMLBHSxLMESGDx++Y8eOffv2QQwYo+bm5uvWrYuJiQEDtFWrVsRMTExM9PX1BUtx165dcXFxkuzsWDBuwJL28PDYpaW4uBhMzPr161Pbt6ys7M033ySGKdQIZY4aNQoKgbrAYAXThyQLDw83MzODSDCFwcA1MTGhVqkc/Q/NlbTVtWnTZsyYMXv27AFDv169elC4pD0dUC7z0aNHmSYI5FQKMG3aNDDjlI/kN6a0FWD0g7bJRm716tXktFEof9iwYS1atCDuZRs2bIC6Fi5cCFZ4ZGQktftXrlwZHBwcHx+/e/du2ADAVv8/lQlVKj/IU9JeMU96U+7gLi6ZGR7yjKr9BfYr9DVoICEhAbIEBARkZmbSAgm5ubn0l7hRUVEgsIuLC3kFqpgzZ470fEV0/3Px4sV27dqBbsn2iUnDUwKvgcpxyxst+gjMq4g3F/RRlMQfJ5Kid6ALmjZtGhYWFhsb++6779KZS6BjUp+2CJR57do1Wy2wt4S+gAC8bdu2LQTmzp1L0igd3CXt2HNwcCBhpuOYMaY6riTO1FB2Ii+7xP+4SYr9tuowqFRdynapDg9J73bJlSYeFarCU3guLLXQwb1ayMrKgknRoEED5fxi/mOlehk5ciSZKfQE1iqjp5wwGIqKipThvxpnzpzZuHHjuXPnTp06BUYLzA6iilelk2qpt1oK0ZOarKtOoOcErFtoNBrygTp58iT7rga9FXkO7swCylu7BRsTSbGMZmRkqBpjtEae2SNY6OUotwYUpYO76jKtXPeVMQI5lQKo7k30MQJ1ptGZgIQp+qcvLy8vLCxcu3atqampqp4lvgmktLv0NIwZYPkAaclfg4hnOdhp9O3nn38OtYhfAYsXLwbZpOcv9CDQesUlyJGLRKCF8HYT9MPFbJ142uOVI69L4pisvDKJGHoa+Tr3F3fu3IFX8HUiJSvhicGbcRKnORJfSFKacg4qpyqkhFY4OTmBKaL8eZJqvQI5xfKAhmEXs3fvXphKYO5OmTLFz88PHqHjYB7l5eXpLETi7w4IMDzc3d1hH0fPzpdTY0sGgiAIgiAIgiAI8rry22+/UW/4xMTE6Oho2G6HhIQsWbJEo9FMnjzZ29vbzc3N2dkZttsWFhbk9/kjRoyA+NmzZ0Oa1atXQ3rYU0NeKAT2vFBgUVERWxPyikAH92pnvvDyZIlzuWua2qW+JD3vslw5vOzMf01XwcEdWLNmDZTcqlUrMzOzFStWgMzUwZ13b7NqG2nhyIszc+ZMW1tbS0vLHj16kBPcW7du3aVLl48//hh/boQgCIIgSLVQOQf3jh070rPQysrKmjVrBvtA8njv3r0mTZpQb4Bly5Y5OjqSsKQ1ZMEMJcarh+Ji7mHDhtGMO3fuBLuT/LkXarS2tiZ/ZZe0TjZ2dnaS1qehZcuWcmeXSZMmjR07lj5S5PUyqDq4QyRt4KBBg6iTKCMz88iTU1IIAIWDbXf48GHVRxcXF+r4e+DAASMjo7y8PGgs6Jla7fBoZWUVEBAA+gf7mx7xzgM2CbBVyMjIII8CUfVxcJejLFk+PCRZRl5/Xb58GUrIzc2l8aqAQUzOq5s+fbq/vz9sWmB4VFRUwHiLiYmRFD7QsGM5fvx4ixYtgoODaSFMGp4S5DANVHY6b7ToFJhBXpHqXNBHUbxxQh7lvVNaWmpubk69ZGBwgq5opcyY1NkWncoEsWHvWqIFAuQsc4qqg/uCBQveeOMNEmY6Tj7GeONKMDXkncjLLun6uDH7bd4w0LMuSdEuBjo89GyX9PzUE48KnvAEngvL6+rg3rVrVxsbG+YgTIKXl1dQUBAbW/uoK3LWEi5cuODu7g5fMPjQwZInP0oWQarAX3AC1pi3osDBnS6g4rVbsDGRFMuoqjFGHnlmj3ihl6P/3kSwTCs3U0ozVVVOSSGAYG+i0wjUJ43OBAz6pCdu3ICJickutYOiJaEJxNhdlTKMKZCrZ8+eYBCScoqKikAe+UW3a9asAfHEr6AvwOIlFj7j4C6vV1CCHEYk6flCeLsJ1a2TQHu8cuR1qZqsgjIlRafonFCC/cXZs2dBwr1799IYOQIxeDNOtTmSLiF5c1A5eRMTE9u3bw8ym5qaQqX0tyi8enly6pTHycmJhElnubq6kkeYX1DRtm3bJF2FSPzdAWHEiBGdO3emvvIMNbZkIAiCIAiCIAiCIAjhwYMHhYWF6enpqamp+/bti46OXrt27Zo1a2CfPm/ePG9v71GjRjk7O8OWmbhjQtjFxQXix4wZA2nmz58fEhICWaK1pGop1PLHH3+wlSHVgaq3NFIDFCsud5UUl/rK0eeyXEH2F6SoqOjcuXOqV+NS5Pc2E1TbiFQLK1as+PXXX+Fj+80330yZMuVvf/ubtbW1paVlmzZt3Nzcbty4wU51BEEQBEGQSlI5B/dp06bRx8zMTAMDg4sXL9IYd3d3nh+JHOWfdePi4kxNTYnvyMCBA/39/Uk81Ojn50eTxcfHGxoagq1M3Bo++OCDwMDAxYsXBwQEQNVdunShKfVB1cFdLhg01tPTk4R1OrirykljKCkpKU2bNi0vL1d9DA0Nfeutt8ijj4/P8OHDpWduBNDkZ2VIYBcOHToUTHAD2YnvcvLy8hYsWAD2IuikU6dOIExsbCx5JRBVHwd3ccny4SHJMvL6C1rauXPnt99+W6PRHDx4sKysTJ6dMn36dNIRtra2hw4d6tat2969exMTExs0aEDGDOMD3b17d3Nz8x07dsgLYdLwlCBooLLTeaNFp8ASvyLVuaCPonjjhITlvZORkQEp5WdUDx48mM5cZkzqbItAmYSIiAjiDp6QkNChQwcaT1B1cIdmwkQgYabj5GOMN64EU0Peibzskq6PG+PgzhsGetYlKdolcYaHnu2SZErTOSp4whN4Liyvq4M7giAIUilqzFtR4OBOF1Dx2i3YmEiKZVTVGCPwzB7xQq8nSgd33jKt3EwpzVRVOWkMRbA30WkE6pNGZwIGfdKDeLm5uaBz0LOxsTFz/wxBYAIxdlelDGMCPIKQdnZ21JEXZINC5N72MGhhFAleVVRUwJ6FePNLCgd3eb28EuijpCaS9HwhvN2E6tZJoD1eOfK6VE1WQZmSolN0TijB/oLULv89gByBGLwZp9ocSZeQvDmonLyS1uM8OTl51apVkAvK/PjjjyV+vTw5dcojz+Xi4iI/EwuSrVy5UtJViMTfHUjay50Nnv8IM9TYkoEgCIIgCIIgCIIgVeCPP/4oLCwsKChITU09c+ZMdHT07t27Q0JCVq9erdFo5s6d6+3tPXr0aGctrVu3trCw6N69O4RhYw6vYN8NyYKDgyHL9u3bIfv3338PRWVnZ0Ox5eXlbH1/SX766Sc26nnQwR15EXj3NiMvmxUrVjBzGTS/b98+Pz8/+E7a2trCJ5FJgCAIgiAIUikq5+Au/zso7MoMDAxycnJoDGzh9PEjUf5Z98mTJ9bW1uvXr7969aqhoeHp06dJPNQovxH+xIkTUOOdO3eSkpIgABvFZTKof4CeqDq4yxv44YcfEhdzSSGz0olEVU4aQ1m0aBHY07xHMPUaNWoUExNz7949ExMTcqES0TNohiabMWOGm5tbcnIyxKueOPv/2DvTqKqOdO8zy6CIYpwxaJAVB5wFDJI2zjEQCQhxorUjraajzV2dNNLp0GjaV5OOymD7LuKQqEGjKIioHVoJmkRAcYqCYBxQFHBkqNVr9Vr33i/vc0+91i1r76qzz+FwhOT5fWDtmp8azt5PFf+zz5gxY6ZPn37o0KHS0tLy8nJXV1f220wKUwWBO+zStQJ3dc386BGuoGK+Ghoa0tPTIyIiunTpAmuA7yYjOzvbx8cHVhoMzsOHD6Ee6EJKSkpISAjNIGigJ0yY4OnpKUhjhTyyQVB0UDvpstVi1mAib0j2WTA7ULJ1Qq95a6laoqKiguXk31QqrEmzfVEM5ogRI/z8/Ly9vb28vOCie/fusKrhIjQ0lOXXFbhPmTJFNrn8mMvWleKjwU+irDgxd3NT/GKa7KahaItoKiGS5WGwX4QbNOOrgjxrPMVBImFBgTuCIAhC7KhWVAjc2YNM/exeLd+YEM1jVOaMEbnbo37QG0QrcJc9prWbKa2bqmsni2Eo9iZmnUAjecxmELA0/9SpU8GPFWOVLpAwsBY5xsT07h/YJQ0cOJB/azisGdh9sB8QIKaCsIoUSQcOHHBzc4PevWvixRdfHDRoEFzQdxrx7cpqYEFdk4jGeN3dhO7WSTF6RFIP35auy6qu06CTTwzsL8A8Z2fn1NRUVhuPwgzZJ063O0RpJJF/BrUfXgEoBZ5/Y2OjrF2ZnWbt4UvJfuVZXQmR7w6AvLw8SBW+DcJjt0cGgiAIgiAIgiAIgtiH+vr6u3fvnj17tqSkJDc3d//+/ZmZmRs2bFi1ahVsruPj46Ojo6dMmTJ+/PghQ4b07t3b398frl955RWInzNnTqKJzz77DIpkZ2dD8aKiop+3Jv7f//736tWra2trxYSnoMAdaQ34u83PC63AnYe+3B1umGICgiAIgiCIYawXuNfV1Tk6OsKGjcUEBAQY0ZG88cYby5YtEyLXrFkTFBQE9Y8ePZpF/soEC2ZkZHh7e8PFnTt3nJycZC9mM4hFAnfBZiEos1PL0KFD+dfvCUEgJiZm9uzZsAHu0aMHfSUeeHswznv37mV5wsLCFi1aBNs/GAThPeXA9evXHRwcLly4QINwAUFehi4zdeLEiR988AFLgokQBO5maxZEuqygkflqaGgIDAyEnbyYQAjt6dKlS6nleXl5Q4YMCQ8PZz9qr9VAf/PNN126dIFFxSoR8ugOgrqD2kmXrRazBqsb0v0sMGQDJVsn9Jq39v79+y4uLmzhNTU19e/fn31yhTVpti+ywSSmN2KWlZX17dt327ZtcDF8+HC4scAF6zjRE7h/9913zs7O7AhDO7ksp2xdyT4a5NlJlBUn5m5uBgXuBtsimkpky8Ngv2iQDprxVUFQ4I4gCIJYiN3UikYE7upnt2JjQjSPUSJ3xmRuj/pBbxDjAnetwVo3VddOLYq9iVkn0EgesxkELM0PHX/ttdfEWKULJAysRY5xc3NzbGysn59fZWUli6SAc/j222+zILQC2zpFUklJyW84oFF/f3+4oN9DENrVrYFeK0zS7jQp/G6CjoawdVKMHg9fj3blCC6ruk5hUhQfKCP7ixkzZsB4Pnr0iCtHaFBhhuwTp9sdojSSyD+D2g+vQGZmJlgIYytrV2anWXv4UjKBu7oSIt8dALB0IamlpUVMeIrdHhkIgiAIgiAIgiAI0j7597//fffu3Vu3bpWUlHz//ff79+/ft2/fBhPvv/9+YmLi/Pnzo6OjJ0+ePH78+KFDh/bu3dvPzw+ug4ODo0289957kO3jjz+GIp9//jnUkJ+fD7WVlZXdNfFf//VfYqvtjJ9++mnYsGF///vf//u//1tMQ4E7gnRM1AJ3BEEQBEGQ1mO9wB2IiooaO3ZsbW0tXH/66adOTk4yHUlBQQEUr6urI6bXkoWEhNy4caOhoYH9B7SmpqZTp04eHh6ZmZmsFBRxdnamwt+qqqqBAweuWLGCJs2dO9ff35/9Znd5ebnuv1r5dgUsErgLNgtBhZ28AZcvX4Y+QhGaJAQpubm5EBkUFMS/2m3OnDnDhw+/fv06XG/bts3R0bG4uBiuY2Njoa0zZ84Q0+/FFxYWwsWDBw9cXV3T0tKISesD22DIz8vQZaauXLkyICDg9u3b0COYBcgmCNzN1iwsD1aQSOarsrIyLy+vubmZmP6bDsZQXUVWVpYgtIXJcnNzo6/iAzPgGiw5duwYTeUbYmbAEPn4+LD/3At5dAdB3UHtpMtWCzFnsLoh7WdBNlDk2bGSrROimZ3FixdDJSdOnIDuQ788PT3pXOuuSXVfZINJuXbtmru7+6NHjx4+fAg1//TTTyyJMn/+fLiHXLp06cKFC//85z///Oc/d+nSZeLEiUySoju5DN11RSQfDaKZRFlxory5GRS4G29LqESxPAz2ix8046viZyNw37Rp0+bNm1nwyJEjy5Yti4uLu3LlCperHZGUlBRngq631rB+/Xq4J4ixHLC6Dh06BHnglnL//n0xudWYNcA6YE7pENHFjyBIO8FuakUjAneifHYrNiZE8xgles4YReH2KB70PMb3JorHtNZgrZsqs9OivYnaCTSYx2wGwfNX54fFAHY2NTXV19dnZGRAN9mrzYV6ZC6Q1p807hgvWLDAy8vrwIED554CS4Um7dixAzIfP34crvfv3w/L7+jRo2aTGDNmzHjzzTfptbZdRQ0yk4RKZLsJNhrC1kk2err1aA3WdVlldRK9SVF8oMzuL2Bb4e3tPX36dChFTAbk5+ePGDGCvlxcZobiE6fbHaI0UvYZFD6qjx8/BvcG1h70hZjeMjVkyJDx48fTSnTbVdiptocvJRO4E2UlRL47AL755htoReFe2u2RgSAIgiAIgiAIgiA/G/7zP//z7t27d+7cKTFx4MCB/fv3//3vf9+wYUNKSkpiYuKyZcuio6OjoqLGm/Dz8+vdu/fQoUPhetKkSZAUGxtLXxW/fv16KLV9+3aoAXb3vCweWhEbbksyMjLAyFdfffX8+fNCEgrcEaQjggJ3BEEQBEHamlYJ3K9duxYUFOTq6urj4wOpkZGRMh3J1q1bHRwc2L/bQ0NDPTw8IObcuXMsD2yxunTpwv9PFOqECkeOHOnr6+vk5BQeHs7kIJBt4cKFLi4u3bp18/T0hL/p6emsIINvV8AigbtgsxBU2MkbAKM6bdo0Vr8QpDQ1NfXp0weKnD59mkXevHlz4sSJUHPXrl2hUba7q6+vf+uttxwdHaFdNze3mTNn0vjPPvsMgr169fLy8oJWYHx4GbrM1Bs3bgwfPhyGFEq9+eabbDZ5say6ZmF58AV156u0tLRnz55QYb9+/Tp16hQREfHgwQPInJycLLxmEmqGMTl58iQNhoWFwTg8fvyYBmUaaNic9+jRg75WUMgjGwRFB7WTLlstxJzBRNkQ0XwWZANFnh0r2TohmtlpaGiYN28eNA0TAfFQ4cqVK4lkTar7ohhMYlKNUC34sWPHBg8ezOIZ8+fPdzDh7OwMNUDxtLQ0/qftZZNL0V1XRP7RECZRVpwob24GBe7G29L2S7Y8DPaLHzTjq0JYw0QuYWnnAve4uDg2WXATgElMSkqCdXXr1q1nM5KEhAT+dx6eF/AwmjNnzhdffME+11bDT72WL7/8snv37r17937llVfgQQOLEGLETHoYHyi1AVZTVFQE4yNbkAiCPC/splY0KHBXPLsVGxOieYzSSO3GhCjdHsWDnsf43kTxmNYarHVTZXZatDdRO4EG85jNIHj+6vzQTXCEoFOQByY6NTWVfV9aqEfmAmn9LuOOMfjhDs/Cq4ShLCw/GHPItnbtWq6cKonCC9y17RJ5DTKThEpkuwnZ1kk2err1aA3WdVlldRK9SVF8oMzuL4AzZ85AndCWu7s77DLAqWaejMwMxSdOtztEaaTsMyh8VGHXM336dAhCHhr52muvVVRUKNpV2Km2hy+lELgrKiHy3QGwe/duSL17966Y8BS7PTIQBEEQBEEQBEEQ5BfOkydPYIdeVVVVUlLy3Xff7TcBG/wNGzZ8+OGHiYmJv/3tb3lZ/IABA3r37j148GC4njBhAn1b/Lvvvgs5U1JSoBSUpZWcOnUK6rxy5QrUf+/ePbFhw8ydO7dPnz4vvfQSPYli8evXr//yyy//D4IgHYedO3f+HxS4IwiCIAjSxlggcNelpaXl/PnzNnkzbnh4eEJCAh/D/hF78eLFy5cv80mU+vr60tLSysrKpqYmMc0co0aNgsorKiqsKCtg1k5KWFhYRkaGLGiW6upq6KxWAXn79m2Ip2+hY8CusqysTPf1kBRdU2E2IRJ2vEI8j9maFejOF+3XnTt3uIxti3q+WtNBi1A0pP0sEMMDJVsnMmAuXnzxRfq+cEvXJDE3mPZBd10RyUdDi6y4DW9uDFlbWhTLw2C/eCxdFTU1NXBvlElYOpDAHUwdNmzYs+n/y4wZM/jfynheaL9tZTUKfXlBQYGjo2NSUhJde83NzR9++CHE6E6xgPGBUhjQemQLEkGQ54Xd1IoygbsWGz67dZ0xs26P8Qe9lg63N3le3L1798yZM1evXjUyUJa6QK10jMFRh+Z0/TdFkoCsXeM1EEklBncTDNnoCfXotkUkLqusTl1a84ECamtrobj2Fe/EQjMout0hEiMNfgYpjx8/hjxnz57VnVxZuzJ07bEUbSXq3YER7PbIQBAEQRAEQRAEQRDECojp2K2mpoa+LT43N3f//v1bt27dsGHD+vXr6Wvg33777ejo6GnTpo0fP37s2LG9TQwbNgyC4eHhVBn/3nvvMWU8QJXx//znP6HO8vJy+s74pqamMWPG9OnTp3///i+99NKePXuoDfgGdwTpiKDAHUEQBEGQtqa1AnebUFFRkZGR4eLicvHiRT5e+y43G/Lmm28ONnHjxg0xzUIM2glbwXv37smCiN0wOF/PBdlnwbb88MMPmzdvLisr+/bbb+Pi4nx9felStGJNtufBRKwmMTGR3h5PnDghprUDgXtKSsr27ds3btwYEhISHx/f0tKydu3aMWPGTJgwISsriwnc169fP2zYMB8fH/qqCYi5detWYWEh/YmATZs29enTJyAggJ64ff7550uXLuVbyczM/Oijj+g1bfGTTz4ZN24cNLplyxY+Z05OzowZM4KCgqKior7//ns+icE3LaAVuEP9EydOHD58+Ny5cy9dukQji4uLmXC/traW2kyDe/bsWbVqFXlWXy60COMzcuRIes2A7rBXGkMfd+zYAfef4ODgsLAw1kdhoK5du0YkFhKNwF03W3Nz85o1a0aPHk3na8OGDVQVd+DAAcUUEBS4I0j7w25qReMCd5ugcMba1O3BvcnzwoaOsU2wSbs2qcQg9myro2DwM9iBUO8OjGC3RwaCIAiCIAiCIAiCIPaEvjD++vXrVBl/4MABpoz/29/+RpXx8fHx0dHRkZGR9J3x/v7+9A3uVCLft2/f0NDQiooKFLgjSEcEBe4IgiAIgrQ17ULgPmLEiICAAEEyCERFRaWkpAiR7ZCOYidCac/zJfss2JazZ89OnjzZ399/8ODB0dHRvD7VUtrzYCJtxHMXuP/qV7/q27fvG2+8sXPnzgMHDqxZs6Zz586bNm3KycmZOHFir169qBC8qKgoLi4O1vnu3btzc3MhZuvWrQ4ODjU1NXB96tSpUaNGzZgxY7eJc+fOOTs7FxcX0yaePHnywgsv0Be40hah2tmzZ0M90Jyrq+v27dtpEnxavby8ILKgoCA5OdnDw6O0tJQm8fBNCwgCd+g1VLJ+/Xpoa9asWb6+vvQNqdXV1VDDhQsX4Do7OxtsCA4OpkUg23vvvUee1ZfzLcJfuNaOZ3p6OsTfvHmTmPrYr1+/mJiYr7/+OjU11cnJCXpENANVX18vs5A8a4AsG4xS165dMzIyDh48OHXqVDZfVVVViikgKHBHkPaH3dSKdha4K5yxjuL2dBQ72wk2dIwRhIKfQS12e2QgCIIgCIIgCIIgCNLOKS0tHT58+JIlS6jAHejXr9+gQYMSExPFAwUEQdo9KHBHEARBEKStaRcCdwRBEKSj0B4E7i+//HJLSwsxyaB9fHw2bNhAk+rq6ry9vdmbzlevXs3eUA6UlpYmJyc/ePCABmfMmEHf7E6ZNWsWK7hr1y4vL6/6+noahBb9/f2bm5tpMDExMTAwEC4aGxt79OjBKy8XLFgwZ84cFmQITfPwAneoELrz17/+lQX9/PySkpJocPDgwZs2bYKLhISExYsXu7m5gYVNTU3Q5ZycHPKsvpxv8YcffnBwcNi3bx9NYuTn50P8qVOniKmPYAkdVWDKlCmsKn6g1BYyA2TZHj161Llz58zMTBoP5vn6+rJhV0wBQYE7grQ/7KZWtLPAHUEQBLE5dntkIAiCIAiCIAiCIAjSnqHq9tmzZ/fu3dvPz2/AgAHR0dEHDhz417/+hW9wR5COCArcEQRBEARpa1DgjiAIglhAexC4L1myhF5fvHjRwcHh/PnzLHXy5MkygbuAIHDPzc319PSkiupJkyYtXryYJUGLixYtYsH8/HxHR8cHDx6UlZVB6++8805ycvKqVauSkpKg9WHDhrGcRuAF7pcuXYIKoVqWGh8fP3PmTHqdkJAQGRlJTEr3goKCkSNH7tu3r6ioyMXFhZrNC9x5SktLodqvvvpKiN+/fz/Enz59mpj6yI8GjDBtizw7UGoLmQGybOfOnYN4mDUWP23aNDZfiikgKHBHkPaH3dSKKHBHEATp6NjtkYEgCIIgCIIgCIIgSLultLR04MCBAwYM6N+//4wZM77++ut//etfLBUF7gjSEUGBO4IgCIIgbQ0K3BEEQRALaA8C9//4j/+g1yUlJQ4ODlVVVSw1MjLSOoF7S0uLv79/Wlra5cuXHR0dv/vuO5YELS5fvpwFjx8/Do3evn27uLgYLhITE1dz0JesG4cXuNPugAEsdenSpeHh4fQ6Ozvbx8cHOuvu7v7w4UNoF6xKSUkJCQmhGWQC94aGBmdn57/85S9C/Nq1a52cnOrq6sizowpAPVAbveYHSm0hM0CWjUrtKyoqWDz/1nbFFBAUuCNI+8NuakUUuCMIgnR07PbIQBAEQRAEQRAEQRCkfVJaWvryyy+//vrrW7du5XXtDBS4I0hHBAXuCIIgCIK0NRYI3FevXv3ll1+KsW3A9evXf/zxR1mwlcDWKCsrS4y1NTKbN23atHnzZjFWg6y4/aGWGBm0ioqKUyZKSkpqa2vF5Fbw4MGDQ4cOgQF5eXn3798XUo8cObJs2bK4uLgrV64ISTLAVP59z7zlNTU1XEYxJ4IgpJ0J3Ovq6hwdHXNzc1lqQECAQYH7G2+8AXcPPmbNmjVBQUFQ+ejRo/n4X5lgwYyMDG9vb7i4c+eOk5OT9s3oFsEL3Ovr66E7e/fuZalhYWHs5fFwa4Xmli5dSo2BW+KQIUPCw8OTkpJoBpnAnZhelO7n5/fkyRMW09jYOHDgwKlTp9KgQuDOD5TaQmaALBvcw11cXHbv3k0jm5qa+vfvz+aLyKeAoMAdQdofdlMrtoXA3Yhza1ta3yLvl9rcfTVYOU2V1d/S0vLtt9/u2LED/PPm5mYxGUGQXzB2e2QgCIIgCIIgCIIgCNIO+fe//33s2DFdXTtDV+BuN4EK0Sg0bCvYaP35sFlkBhsUqBB5DXaGN8MKKUiHxvhkGcQOCw8F7giCIAiCtDUWCNwF9RtPQkLCmjVrZEFLiY6O/tOf/iQLthKF/s+GyGwG55tX8slgxVs5kq2HWhITE7NixQox7Vnmz5/v4uLSvXv3Ll26ODg4TJo0CfYeYiYlup2FLSvU2bt371deeaVPnz7dunXjN7ElJSWurq5JSUlpaWm3bt3iyqkAUydOnMgHqeXe3t5geWhoaGVlpW5OBEFIOxO4A1FRUWPHjqXfq4EiTk5OMoF7QUEBlKUvLAeWL18eEhJy48aNhoaGlpYWiKmpqenUqZOHh0dmZiYrRUwtOjs779mzB66rqqoGDhzIbolz58719/cvLS2lwfLycl0RttA0Dy9wB+bMmTN8+HB6/9y2bZujo2NxcTGf2c3NLTU1lZi+/APXcA88duwYTeUfcEKLZ8+e9fLyioyMvHbtGjGdDcG4QQzE0wwKgbswUAoLeQNk2RYvXgwDeOLECRhJqNnT05N/LMqmgKDAHUHaH3ZTK7aFwN0+OwIeI+60Gt4vtbn7arByIadAYGAglAoODoZ7O/x9+PChmANBkF8qdntkIAiCIAiCIAiCIAjSQdEVuBsXqOjGWERH16jIDDYoUCFPa2jlMLYe1hHrpCA24XkNgvHJopi1s/X/mDALCtwRBEEQBGlrbCNwnzFjxrvvvisLWsSTJ0+6dOly+vRp3WDrscPmQWGzEZeUL96akWw9io5o4cUuZ8+e7d27d1RU1LNZzKDtbEFBgaOjI2xampqaINjc3Pzhhx9CDNM4/u1vfxs2bBhfxAhagTsLXrp0acCAAWCJNglBEEp7E7hfu3YtKCjI1dXVx8cHkiIjI2UC961btzo4OLCX0V6+fDk0NNTDwwMiz507RyNjY2Phvif8WARUC3WOHDnS19fXyckpPDycCcch58KFC11cXLp16+bp6Ql/09PT+bIUoWkeQeB+8+ZNuO1AK127dgXbhOM86DjUc/LkSRoMCwuDPI8fP6ZB/gGnbfH7778fP3483EI7d+4Mf8eOHQsxLFUhcBcGSmEhb4AsW0NDw7x587y8vGCsoMWIiIiVK1eyGohkCggK3BGk/WE3teLPQ+DeegQNum3dV4OVC6kCGRkZ1Gk/f/48PGh27Ngh5kAQ5JeK3R4ZCIIgCIIgCIIgCIJ0UCwVuGulBdoY43R0jYrCYCMCFcLV0JphbD18R6yTgtiE5zUIBieL8bzs5EGBO4IgCIIgbY3FAveMjIzg4OCwsLAtW7bQ+E2bNvXp0ycgICDaRGpqKh+kL4tNSUnZvn37J598Mm7cuJCQEFYWuHXrVmFhYWNjIw3m5eX5+fmxVD6oqAQM279/Pwt++umnYCe9pqU2btwIReLj49WbB6hz4sSJw4cPnzt37qVLl2ikUAMxKa3XrFkzevToCRMmZGVlbdiwgTVHnrW5paVl7dq1Y8aMoTkFl/TgwYOvv/46+OWvvvoqDKNQXBhYOpI5OTngpwYFBUVFRfHaRK2RELNjxw6IGT9+PLQO4wPGwM5w7NixkyZNOnr0KC1YVlYWGxs7YsQIyLZw4UL+tevMEugCG21ZfkHs8vvf/75Xr15wAZMLSdAoGLZy5cq7d++yPLzNgLazMG4jR45k+Skw+1SxCn2BofPx8YH8WsddWFc8CoE7Ma0lX19f3SQEQUg7ELhrgZvb+fPnbfLjdOHh4QkJCUIkOz67ePHi5cuXhVSgvr6+tLS0srKSCvssAm5oUHlFRQVftrq6Gip88OABl9E23LhxA2q29Bc2tBi0UJ0Nuvziiy+mpaXxkdopqKmpgfFBgTuCtDfsplZUCNy1rntxcTFztmtra8FL/Pzzz2lwz549q1atotf8joA5jeAtL1u2jEZSNm/e/OGHH7Kgrh+udcJ1vWXenSZ6lrPawIHXbriIXINODLuvBt1jReXaVF1u377t7Oy8e/duMQFBkF8qdntkIAiCIAiCIAiCIAjSQVEI3LXnpVodhTZGoS3RnpTKNCqKSowLVIhS4K44K+YraVOBCnlag3YYaarBs3GDAhUiOUUnXEd0pSC6Y9UaM3SlLLJBYGjXD6WmpgZGm/3ydn19PVR+4MABGtTtsmKyhFa0xbV2aoeC/8eE4r8P6tWlBgXuCIIgCIK0NZYJ3Pv16xcTE/P111+npqY6OTkVFBRA/KlTp0aNGgUe7W4T//jHP/gg+G20bK9evWbPnp2bmwu+kaurK7hWtFrhLbNLlixZvnz50zafCSoqAS/2r3/9KysFDhzz/KBU3759Yc+wc+dOcB8VmwfYddC3zEL9s2bN8vX1vXPnDtHUADHJycldu3YFrw42AFOnTgWr+F0BbzPY2blzZ3AuwekHb5vPmZmZCV14//33Dx8+DK4k+/IxKy4MLIwkeJleXl5QJ4w82ADWlpaW0lJaI2kMOM379u177733XFxcwItdtGgRBKEJT09P8IkfPXr0wgsvQBD8eCiVlJR08eJFWiFvCRs0RX5B7AJe9aBBg+Bi3bp14Dfn5+fv3bs3NDT0lVdeYXl4m2FbKHQWlgQsDK3CNT09HeJv3rxZVFQELr6/vz/khykTsmnfXsxQC9xhgQ0ePFg3CUEQ0i4F7jahoqIC7upwq+RvgxTF+yFaz5tvvjnYxI0bN8S0nyM//PDD5s2by8rKvv32W7iHw6P23r17NEk2BYmJiXSITpw4wccjCPJ8sZtaUSZw13Xdq6urwQO8cOECZMjOzgZnOzg4mOaHPOAS02vdn7yAUnDBvOvm5mbwVNm/VWR+uOCEy7xlvkVdy2mSbMNFlBp0g+6rQfdYUbk2VQuMwOTJk4OCgh4+fCimIQjyS8VujwwEQRAEQRAEQRAEQTooMoG77nmpVkehjVFoS7QnpTKNiqIS4wIVIhe4q8+K+UraVKDCatAOIzF8Ns5i1AIVotScsI5opSCysbLaDCKRsugOAo92/TA++ugjGHD6P19Yt1AP/SFuWZcVk8W3oltca6d2KPiFJ/s0EXPyJzUocEcQBEEQpK2xTOAOHlJLSwsNTpkyhTlDwm/faH8KB8qC99nc3EyDiYmJgYGB9BrcX3CY6OtdoXJwuY4cOUKThKCiEvX+4eWXX2ZmyzYPjY2NPj4+rBII+vn5gWtINDWA+wheJnj/NAiWg/fMmuNtfvLkCdS5YcMGmlRXV+ft7U1zQlK3bt34V0JShC7zIwkm9ejRg5f4LFiwYM6cOfRaMJLGjB07ll7TasPCwmiwqakJWv/iiy8uXboEbnF1dTUrxeAtYYOmyA87hKCgoMLCwmPHjv3lL3+BfQJ7RyaDatbPnTtHg4LNwrL54YcfIDNsM1gMBTYYEA/+OlyvXr2avs1dC7+uBLQCd1hXMPVQW1RUlJub265du3RzIghCfr4C9xEjRgQEBPDfVmfAnSElJUWMRazi7NmzkydPhrvu4MGD4WHNv4tCMQUIgrRD7KZW1BW4K1x3uL3QF88kJCQsXrwYXLv6+nrwfsEPz8nJofn5HQHvNAYHB69YsYLGHzp0yNXVlZ50K/xwwaGVecusRYXlRLnhEjToVrivBt1jReVCTl0iIiKGDh3K/kOAIAhC7PjIQBAEQRAEQRAEQRCkgyITuMvOS7WKFCFGoS0RTkoVGhVFJcYFKkSiUTF7VswqaVOBCnm2BmEYjZ+N0xizAhUiP0UXJoKXgijGymozBHgpi3Z18ShO2mGpTDKRlpbWpUuXH3/8kcbrdlkxWeTZVnSLE42d2qEQBO66nyb16jILCtwRBEEQBGlrLBO48+7RkiVLIiMj6bURgfuiRYtYMD8/39HRUevznTp1qmvXrux3doSgohL1/gFMZUm6mwfy1CksKytjMfHx8TNnziSaGsCphZz8+2WnTZvGmuNthjyQ8/z58yzn5MmTaU7wRx24N0QyhC7zIwm2QZF33nkHHNlVq1aBvw61DRs2jKYKRtIYfhaCg4P57+BCwXXr1kFDQ4cOHTBgAGzGDh8+DD40y8BbwityZPnnz5/v5uYG2wNInTBhwqeffkrL3rp16w9/+EN4eDi0OGTIEJiygwcP0iKCzcKyoUP01VdfsRjK/v37If706dNEKXBXoBW4d+/eHfoITjz47rNmzWL9MqvgQZBfID9XgTuCIAhiEXZTK+oK3BWue0JCAt2kDB48uKCgYOTIkfv27SsqKnJxcWGvWpHtCNLT03v27Emd2NjYWMhG4xV+uODQyrxl4fuiupYTjQPPb7gEDbpt3VeDlQs5tZSXlwvbHwRBEGLHRwaCIAiCIAiCIAiCIB0UmcBddl6qVaRoxb4ybYmAQqOiqMS4QIVITqTNnhWzStpUoEKerUEYRuNn4zTGrECFyE/RhYngpSCKsbLaDCKXsmhXl3Fu3LjRq1cvqOrLL79kkbpdVkyWgG5xorFTOxSCwF3306ReXWZBgTuCIAiCIG2NZQJ33vMDT4hpPowI3PkfdTp+/Dg4Sbdv3+ay/A8ffPBBXFycLKioRNg/vPXWW/z+gTdbd/MAlJSUQG2XL19mMUuXLgVflmhqoK5/RUUFi5k1axZrjreZ1llVVcVygo9Ic548eRKS+DfXUoQu8yNZXFwMRcBnXc1B309JNEZqY0JDQ2HXwYJsxBoaGtLT0yMiIrp06eLv789GgLeEHzRZfpnYZcyYMdOnTz906BCMW3l5uaur6549e2iSYKGwbKAhZ2fnv/zlLyyGsnbtWicnp7q6OmI7gTsLXr161dfXF/quTUIQhIICdwRBEITYUa2oK3BXuO7Z2dk+Pj7ggbu7uz98+BCcZ9hBpKSkhISEsMyyHcG9e/egVE5ODriaHh4ezGtV+OFaJ1zXW2YtKiwnmtr4DZegQbet+2qwciFVS15eHvSO/QcCQRCEYrdHBoIgCIIgCIIgCIIgHRSZwF12XqpVpGjFvjJtiYBCo6KoxLhAhUhOpI2fFbepQIU8W4MwjBadjRsUqBDJKbowEas5KYhirFpjhkzKol1dxqECdycnp6NHj/Lx2i4rJkuLtjjR2KkdCkHgrvtpUq8us6DAHUEQBEGQtsY2Ane4WLZsGUsSgsRUFmDBjIwMb29vLv3/M3To0N27d8uCikomTpzICy9Gjx4t2z/obh6A+vp6R0fHvXv3spiwsDD6fVyhhvv377u4uDDDmpqa+vfvz5rjba6rq4M6c3NzaRAICAigOWtra8Gp3blzJ0uiCF3mR/LOnTtQRPtGc4rWWzXuuFPAJw4MDITNCQ3ylugOmpBfV+xy/fp18IYvXLhAg3ABQZnAXbtspk2b5ufnx78zsrGxceDAgVOnTqVBfldjHIXAHdi4caO7u/u1a9e0SQiCkA4ucF+/fn1WVpYY25a0vsWKigr23X24PmWipKSkpqZGls04BiunqVbUjyDIzxi7qRV1Be4K15262UuXLqUbh7y8vCFDhoSHh7OfdiUS55YSExMze/bszMzMHj16MC9U4YdrnXAG7y2zFhWWE01tRgTuxBbuq8HKtakCt2/fPnz4MP8TqAiCIMSOjwwEQRAEQRAEQRAEQToolgrctdICIUahLRFQaFQUlRgXqBDJibTxs+I2FagQjTKEH0aLzsaFGLMCFfLsKbowEbwURDFWVpuhkLJoV5dBmpubJ02aNHnyZFgbvXv3vnXrlpiD67JishQI/3cQ1rxi4ck+TerVZRYUuCMIgiAI0tbYRuC+fPnykJCQGzdugDvV0tIiBGlZZ2dn6g5WVVUNHDhwxYoVtGxBQQGkgvd2+fLlTp06QREaLwTVlaxcuRK8vdu3b0NzmZmZkE22f+B9uKysLNYFYM6cOeDOgiML19u2bQNvsri4mGhqABYvXgytnzhxAsyAznp6etLmtDZHRUWNHTsWdgtw/emnn4L3zwyLjY2FSs6cOUNMuu3CwkJtcWEk586d6+/vz343qry8/PDhw/Raa6QRx72ysjIvLw/8bGLanIA9a9asIZqOsEGT5ScSscuDBw9cXV3T0tKIaTcFrjyMqkzgrl02Z8+e9fLyioyMpJIamBoYT4iBeFpEIXBn60pM0JgqBB8/ftyvXz+6E9DtFIL8wunQAnfd86M2JSYmhj2qrEMQHbq4uHTv3t3b29vBwQFu7HBb1mYzjsHKhZwIgiDEjmpFXYE7kbvuAPiHbm5uqampxOSOwjV4pMeOHWNl+ceB4DTm5uaCGxwUFCS8oEXmhwsOrcxb5ltUWK7YcCk06AbdV4PusaJybarAN998A03cv39fTEAQ5JeN3R4ZCIIgCIIgCIIgCIJ0UCwVuGulBUKMQlvCn5SqNSqKSowLVIhco2L8rLiNBCraGrQDa/BsXBujK1AhklN0bUcEKYhsrKw2QyFl0Q4Cj+Kk/aOPPurVq9fNmzebmprCwsKmTp1Ki+t2mSgni29FVly75hULT/Fpkq0uI6DAHUEQBEGQtsY2AndwN8Ev9PDwcHBwOHfunBCkZcEHGjlypK+vL7hl4eHhzOHbunUrZKupqYFGp02bxuoXgkRZCTht4Im6uLh4eXm9+eab/G/3CGbzPhw4svz3dMHRnDhxItTctWtXMJ5torSOIDiI8+bNg7a6desGSREREbCBIXo2X7t2LSgoCDxjHx8fqIc3rL6+/q233gIvGbrj5uY2c+ZMbXFhJO/fv79w4ULoJrQLbiX8TU9Ppzm1Rhpx3GEf0rNnT2i9X79+sGGAjoAfTzQdYYMmy0/kYpfPPvsM8oMfD8MF1YLZMoG7dtkA33///fjx42GUOnfuDH/Bv4cYVkQhcGfrSkzQmKq1HLYx0Lvq6mptEoIgKHC3MzLR4aVLlwYMGDBjxgxtknEMVi6kIgiCEDuqFWUCd5nrDoCHCX7gyZMnaTAsLAwyPH78mGXgHweC09jU1NSnTx+IOX36NMtPTG8x0fXDBYdW5i3zLSosV2y4ZHdsihH31aB7rK2BVa6byrN7925o4u7du2ICgiC/bOz2yEAQBEEQBEEQBEEQpINiqcBdKy0QYhTaEv6kVK1RUVRiXKBC5BoV42fFbSRQ0dagHViDZ+PaGF2BCpGcoms7IkhBZGNltRlELmXRDgKP7KS9sLAQhp29obK6uhrG+eOPPyaSLhPlZPGtyIpr17xi4Sk+TbLVZQQUuCMIgiAI0tZYIHBvDcxbunjxIrhZYrKJsLCwjIwMWZCYq6SlpQUiq6qqhHhLAUcTHESm2zZLU1PTiy++SL/ZqbWZmAw7f/78lStXhHjK7du3oTn6TVPd4lpg4wFFKisroWkxzSpol+/cucNi1JZo86u5d+9eWVmZ7ndYDQL7QzZKCII8X9qDwH3Lli0TJ04cPnz43LlzL126BDHFxcVsw19bWxsdHf3555/T4J49e1atWkWv+W38rVu3CgsLGxsb9+/fL/zM3ObNmz/88EMWzMnJmTFjRlBQUFRUFPuOTUpKyvbt2zdu3BgSEhIfHw8xcKOLjY0dMWLE+PHjFy5cSG9Za9euBWtZVVrLWW07duyAG29wcDDcgfkiCtEhPBN9fX11k3hYT8UEw5VrUxEEQeymVpQJ3CmWuu6txKAfbsRbtrPlCIIgzxG7PTIQBEEQBEEQBEEQBOmg6ArcW4NaW8JQa1TUlfwMBCpEUoMWg2fjxhFO0Q2aYelYmaX1Uhbj6P7jQD1ZPLrFbQ6/uoyAAncEQRAEQdoaewvcFeTm5oL7KAsSY5XYhx9++GHz5s3g6X777bdxcXG+vr7UVK3NFtHK4jak/ViCIEh747kL3CGefi8f7lSzZs2COzDs5GFL7+DgcOHCBciQnZ3t6uoaHBxM80Oe9957j17rvrIXSsFF6dNf1mtubu7bty87R9uyZYuXl9eaNWsKCgqSk5OhaZoTHkmQDSrcuXPngQMHHj169MILLyxZsuTo0aMQTEpKunjxotCiruU0CWrr169fTEzM119/nZqa6uTkBM3RJIUGffbs2YMHD9ZN4pG9SIAYrlybiiAIYje1olrgjiAIgrR/7PbIQBAEQRAEQRAEQRCkg9J2Anc1ao2KwUrsQBsJVIgtarAJ7cSMXyay1WUEFLgjCIIgCNLW2EngHhUVlZKSIsZaiE0qsQlnz56dPHmyv7//4MGDo6Oj+bfwIgiC/Lx5vgL3xsZGHx8f9stxEPTz80tKSoJruCFv2rQJLhISEhYvXuzm5lZfX9/U1OTt7Z2Tk0Pz83Lz0tLS5ORk+hX/4ODgFStW0PhDhw65urreunWL1t+jRw9eW7lgwYI5c+YQ05HWyy+/3NLSQuPhQeDg4FBdXc1yUliLCsuJqbZRo0ax2qZMmcLsFDTo8OiBSlavXg3PROjjrl27tNkE+J4KGKxcyIkgCELsqFZEgTuCIEhHx26PDARBEARBEARBEARBOig2F7jbRFtik0psAgpUkLajNasLBe4IgiAIgrQ1dhK4IwiCID8Pnq/AnerIy8rKWEx8fPzMmTOJSdceGRlJTEr3goKCkSNH7tu3r6ioyMXFpb6+nmbmBe486enpPXv2bGxshOvY2FjIRuOhIWjunXfeSU5OXrVqVVJSEmzvhw0bRkyS9CVLlrAaoOzQoUMHDBiQmJh4+PDhJ0+e0HjWosJyYqrt3XffZUlQM+0L0WjQu3fvDnVOmTKlc+fOs2bNYg1ZJ0A3WLmQE0EQhNhRrYgCdwRBkI6O3R4ZCIIgCIIgCIIgCIJ0UGwucEcQxA6gwB1BEARBkLYGBe4IgiCIBTxfgXtJSYmDg8Ply5dZzNKlS8PDw+EiOzvbx8enqqrK3d394cOHiYmJy5cvT0lJCQkJYZllAvd79+5BqZycnLq6Og8Pjz179tD44uJiaA6qWs1B3xOv/VHChoaG9PT0iIiILl26+Pv7UyNZiwrLiaY2KMJE9oIGnV1fvXrV19f3gw8+0CYZx2DlQiqCIAixo1oRBe4IgiAdHbs9MhAEQRAEQRAEQRAE6aCgwB1BOiIocEcQBEEQpK2xQOC+evXqL7/8UoxtA65fv/7jjz/Kgm2KdX2E7VZWVpYYaw7rSlkH35asjza3R9bQzwObL8v79++3tLTAxYMHD5qbm8XkDkVFRcX58+fZ9SkTJSUlNTU1z2Z8JifSUXi+Avf6+npHR8e9e/eymLCwsEWLFsFFbW2tk5PT0qVLf/WrX0EwLy9vyJAh4eHhSUlJLLNM4A7ExMTMnj07MzOzR48e7M3ld+7cgTq/+uqrZ/P+D1qBO6OhoSEwMDAxMZFwLSosJ5rajAjcgY0bN7q7u1+7dk2bZBCDlWtTEQRB7KZWlAnc7eZqPse9iRU0NjZ+9913u3btgsEpLS0Vk9sAfkDOnTsHD83s7OzKyspncxFwdAsLC7du3Xry5EmbJBGuaXW26upq8EXhmS4mWDKbmzZt2rx5MwseOXJk2bJlcXFxV65c4XJZjN2WsQy77UGgFZgFYWHYfAeqi8G9iWJjAsZ/++23O3bsgHlv01H6GWO3RwaCIAiCIAiCIAiCIB0U6wTubXRq13YkJSXFmaitrSV2PB5su1Nu+xzxtR6+y61fJ9oa+PrV59U8Rs6uFeeW9gE+ZXTRnjlzRkxDgTuCIAiCIG2PBQJ3hZgvISFhzZo1sqClREdH/+lPf5IF2xRFHxUoFJMKYmJiVqxYIca2DXxbsj620h7tpMsa+nlg22UJWxcPD4/Hjx8/fPjQ3d39p59+EnN0KATJrIuLS/fu3b29vR0cHEJDQ3ldC0pmOyLPV+AOzJkzZ/jw4bCrh+tt27Y5OjoWFxfTpFGjRrm5uaWmphKTTguuXV1djx07xsryt+uCggK4TdXV1dFgbm5up06dgoKC3n33XZYfmDt3rr+/P9MIlpeXHz58mGhucbCw8/LyqObpzp07AwcOpLdEvkWF5dYJ3OGm0a9fv2XLlmmTeISe8hisXJuKIAhiN7WiTOCucDV/NnsTK1i4cKGnp+cwE05OThEREexbW20EG5Bx48ZBi4MGDQoICAD3Lzk5meUBG6ZPn+7j4wOz5uXlNW/ePCqqtjqJQptWZIOnbc+ePR1MbN26lS9LMT6bcXFxv/71r+l1SUkJOBhJSUlpaWm3bt16NqNlKJaxHbDnHiQ/Px9mITAwkI+0bh9tKQb3JgpXB8yGIsHBwfDhgr8wXGIOxBx2e2QgCIIgCIIgCIIgCNJBsU7gbvzUrpWnxLZi1KhRc+bM+eKLLx48eECUx4Md5ZTbPkd8rYd1Wb1OjKBbA6tfcV7NY/zsWnFuaR+KiopgxYKd9F/kAihwRxAEQRCkrbGNwH3GjBm8IlAIWgQ4fF26dDl9+rRusK1R9FFBR/HaKdb10SzaSW+jhtoDNl+WsIF59dVX4eLo0aMBAQFickdDJpm9dOnSgAEDYKno5kQ6Cs9d4H7z5k1YNk5OTl27dvXw8OAPvOCeA7tr9m34sLAwKttiGfjb9datWyEze3lnU1NTnz59IEb4aN+/f3/hwoUuLi7dunXz9PSEv+np6URziystLe3Zs6ebm1u/fv06deoUERFBT6b4FhWWWydwB9LS0qC56upqbRJD6CmPwcp1UxEE+YVjN7WiFQL3n83exAoqKyuZov3UqVPw/NqyZcuzWWwJPyDwXLtx4waNz8zMhEdPUVERDa5bt87Hx4c+UMrLy+fvNWsAAIAASURBVOHh8sUXX7QmiXBNK7IVFhZu3779woULuv8ksGg2+X+VwZocNmzYs+lWoljGdsCee5CYmBhwJJydnY8fP84i7bOPlnk7wt5E4epkZGSAowgX58+fd3R03LFjh5gDMYfdHhkIgiAIgiAIgiAIgnRQWi9wV5/ateaU2IaMGjVq9erVLKg4Huwop9z2OeJrJXyX1evECNoa+PoV59U8xs+uFeeW9gQF7giCIAiCPC8sFrhnZGQEBweHhYUxqcSmTZv69OkTEBAQbSI1NZUPXrt2DfKkpKSAf/bJJ5+MGzcuJCSEl1ncunULvLfGxkYazMvL8/PzY6ksuH//fvYeWcrmzZs//PBDeg0Vglc3fPjwuXPnXrp0ic928ODB119/HVzMV199FUwlJmcRvMCxY8eCJStXrrx79y7LTPuoayfEgw0s+Omnn8JQ0Gvea5dVTkdg48aNEB8fHw8xa9eu5evPycmBbUlQUFBUVNT333/P4svKymJjY0eMGDF+/PiFCxfSV/8yiouL2Z6ttrYWBvzzzz+nwT179qxatYpe823x26SbN29CnTt37hTyyOZL1jthDdBJ110wBg3WbejAgQNLly6lGSiZmZkfffQRvVYPFEW2TrSz09zcvGbNmtGjR0+YMCErK2vDhg1susnTZWmwL7LBBB49elRkYvbs2QsWLICL3/zmN9OnT4cLap6iU7p9UaxSbR+J3qeDIluNPMInl0cmIiEmC319fVmwnezHEIt47gJ3SnV1dWlpKRWR24H6+nporrKyksqbZFCrdH9IjmFnyxEEQdoIu6kV1QJ32+5NtO6NbG9i1g9sfQZ6zbA0P6V///6yN/HoOpNEz2lUOMbC+DCgiJubG8s2cuRI/p8ckZGRTFVsXRLhmlZno+j+k4A3XtvrlpYW2B+NGTOG9pr9q2z9+vXgPPv4+MAU6P5LSebA6zresmVM5A45mLpjxw4wFeoH28D5B1PBKtg6TZo06ejRoyyn7paKGNiDEHkvZFapk6Bpd3f33NzcKVOmLFq0iMXz+2hZi7KFyqP95PIY3JsY2Zjcvn3b2dl59+7dYgJiDrs9MhAEQRAEQRAEQRAE6aDoCtxbc2rHHxkJh8aff/65THUgOzqmKE7AGOqjKl2Bu/Z4sDWn3ERjg+yUu6amBgaQ/RR2fX39/PnzDxw4QCw5hOSP+GgpbXeI/PSPR/cElchPCI0bybqsXSdEUr/scFW3Bn6EjZxX85g9u+bPLQ12WWY8UZ72E+UKR4E7giAIgiDPC8sE7v369YuJifn666/Bh3ZyciooKCCmVwOCIw6Ozm4T//jHP/gg+MG0bK9evWbPnp2bmwsOk6urK3jbtFrhzbJLlixZvnz50zb/N0i/vFhaWkrjwfHq27cv3ed8+umn9FW4UPmsWbN8fX2ZuBC2ItDW+++/D84WuHpU2L1u3TrY9uTn5+/duzc0NPSVV175/40p7QSP9q9//SvLCQ4rk5jwXruscqgZDIacO3fupLsCvhQ4zV5eXtAiDGlycjJ0h/b00aNHL7zwAgwCOKNQKikp6eLFi7QIpbq6GoYFBgeus7OzwWDYLdAkGIr33nuPXvNtMYH7+fPnX3zxRRheGExtHt1xkPVOWANs0rULxqDBug1VVVU5OzsXFxfTPE+ePIHBSUtLIwYGiijXiXZ2YBa6du0K3jzso6ZOnQqjwaabPF2WBvsiG0zg6tWrg004OjrCXMAFpPbv3x8uVqxYoeiUrC+KVarto+6ng8hXo4B174SGcYDesaARHQnS3mgnAncEQRDk+WI3taJC4K51NYnGL7Vob6J1b2R7E7N+YOsz0GuGRfkbGxvv3r27ceNGT09PXUdO5kwSPadR4RgL48MoKysDa+m/RqjYHTxPlvrnP/8ZmrA6iUKbNpuNovtPAt54ba9hYXTu3HnTpk05OTngr7JeFxUVxcXF+fv7w3KC0eMrJPJdiczxli1jhUNOTQUvet++fTDvLi4u8fHxixYtgiC0CzPOfhVXd0tFzO1BiLwXCqsUSQAsxd69ezc1NUHfYVTZ1/zYDlTWomKh8mg/uTwG9yZmNyZg5OTJk4OCgh4+fCimIeaw2yMDQRAEQRAEQRAEQZAOiq7AvTWndvyRkXBofO7cOZnqQHZ0TMydgDHUR1Vagbvu8WBrTrmJxgbZKTfw0UcfQSX0lznBDGiF/jK28UNIQWSi2x3Z6R+P7ARVcUJo3EjWZe06kdUvO1zV1sDXb/C8msfs2TV/bmmwyzLjifK0X73CHVDgjiAIgiDIc8IygTt4tC0tLTQ4ZcoU5qrOMPcDSVAWnDwqpAYSExMDAwPpNXhF4B7Rf3JD5eCQHTlyhCYJweDgYPofd+DQoUPg4IJ/1tjY6OPjw0S9EPTz8wOfmJi2It26dWNvedcF3HpwxWAPQ4MKOxXSYdnvLvGVQ80vv/wyGz3ClQKbe/TowWt3FixYMGfOHGL62XSogf6AkYzBgwfTL7AmJCQsXrwYPGbY0jQ1NXl7e8O+jubRCtwLCwvBOwe/ltUj5JGNA0MYOt1J110wRgzm4RuCTQUb9l27doGHTfdvZgdKsU6IZnZgiwUbY7bxgMUJY8Xa5Zelkb6YHUwwu1OnTg9NwAX9yjWRd0rRF8UqFfoo+3QoVqMA/8kVEEQk0H2wCvbqUVFRMEQwcbo5kY4CCtwRBEEQYke1okLgrutqEo1fquum6rpngnuj3puY9QNbn0HAYH4qLgc8PDx2671qWuFMEo3TqHCMhQFhQJFx48aBj0cruXfvHhjz1VdfsQyfffYZ2GZ1EuGaVmdjOGj+SSAYr3WVYYg2bNhAg3V1dTDIzK8GtxbWHr0W0HXgZY43kSxjtUMORcaOHUuvaS/CwsJoEBYDNKT7i7fC3o3I9yBE0guFVYokyujRo3//+9/DBbQFI5mVlUXj2Q5U1qJiofIoNibE8N7E7MYkIiJi6NCh7L9iiEXY7ZGBIAiCIAiCIAiCIEgHRSZwt/rUTjgyEk6JZaoD2dGx2RMwhvqoSitw1x4P0murT7mJJQocKD7JRFpaWpcuXX788Ucab/wQUhCZ6HZH9/SPR3aCqj4hNGik0GV+najrZwiHq8JK4+s3eF7NY/bsWhC4G+kyD2+84rTf7Ap3QIE7giAIgiDPCcsE7rzTvGTJksjISHptxL3mf4s8Pz/f0dFR69afOnWqa9eujU9/LEkIpqen9+zZkwZjY2PBVyZPveGysrKndZD4+PiZM2cSk+PuwL30nXHr1q0//OEP4eHhw4YNGzJkCFhy8OBBmqSwUyEd5r12WeVQM4wYK86XohqUd955B7YZq1atAo958uTJUJyY/MihQ4cOGDAANiTgL4Jnz9dASUhIoBMxePDggoKCkSNH7tu3r6ioyMXFhW7DiGZfMXr0aPBcd+7cySrR5tEdB1nviGTSdReMEYNlDeXm5np6etJssNFavHgxzW92oBTrhGhmB/x7yMx/b3jatGlsuvllaaQvssFkMbBjoXuSo0ePDho0iMXLOqXoi2KVCn2UfToUq9E4goike/fusLpgBwurbtasWfzsmNWRIO0QFLgjCIIgxI5qRYXAXdfVJBq/VNdNVbtnFPXexKwf2PoMAgbzg4XV1dXg1IEj5+bmRt+Rw6NwJonGaVQ4xsKAUCAIRgYGBjIdMNgGNfBSe5hTcOmtTiJc0+psDAfNPwkE44VeQ3+hyPnz51kMuMS6/yqrrKzMfAqU0nXgZY43kSxjtUMuFAkODmZvMwIg27p16+i1bEtFke1BiGQborBKkcRSWffho8f8f/4r39oW1QvVOAb3JuqNSXl5ubAkEIuw2yMDQRAEQRAEQRAEQZAOikzgbt2pnRbhlFimOpAdHatPwIyjFbhrjwfptX1OuYEbN2706tULyn755Zcs0vghpCAy0e2O7ukfj+wEVX1CaNBIocv8OlHUrzhcFVYaX7/B82oes2fXgsDdSJdlxitO+82ucAcUuCMIgiAI8pywTODOu0fgp1KJOdH407ruNf+zR8ePHwcH6Pbt21yW/+GDDz6Ii4uTBe/du+fu7p6Tk1NXV+fh4bFnzx6ILCkpgaouX77Msi1duhR8Nbg4efIkJIFXypIoY8aMmT59+qFDh8BFLi8vd3V1pVURpZ2CdPitt97SFbjLKhdGjy9VXFwMrYA3v5qDvp0RaGhoSE9Pj4iI6NKli7+/P99TSnZ2to+PT1VVFQzOw4cPoR7oQkpKSkhICMsj7CsmTJgAbrQgHhXy6I6DrHdEMum6C8aIwbKGWlpaYBDS0tJgHMAR/+6771gR9UAp1gnRmEp3UBUVFSyG/w43vyyN9EU2mHA9YsQIPz8/b29vLy8vuOjevTssbLgIDQ2lmXU7peiLYpUKfZR9OtSr0SCCiIRdX7161dfXFwZQNyfSUUCBO4IgCELsqFZUCNx1XU2i8Ut13VSZe8aj3puY9QNbn0HA0vzA1KlTwY8VIhXOJNEMrMIxFgaEmF4SA/7nwIED+deBgwMPWw/2XiViKgierdVJ9Jo2rc7GcND8k0AwXug1HSIYahYTGRmp+6+yEydOTHlKfn4+0XPgZY430bRLl7HaIReKwMYhOTmZBfntgGxLZXYPQvR6obBKkQT87ne/c3Z2Dn3KSy+9BPs4+i4ofgeqbVG9UI1jcG+i3pjk5eWBMcLXORDj2O2RgSAIgiAIgiAIgiBIB0UmcLfu1E6LcEosUx3Ijo7VJ2DG0QrctceD9No+p9zkqcDdycnp6NGjLNL4IaQgMpF1R3v6x7IRuXRBfUJo0Eihy/w6UdQvO1wlmpXG12/wvJrH7Nm1IHA30mWZ8YrTfrMr3AEF7giCIAiCPCdsI3CHi2XLlrEkIUhMZQEWzMjI8Pb25tL/P0OHDuW/zigEgZiYmNmzZ2dmZvbo0YN+s7O+vh62HHv37mV5wsLC6HdVa2trwREX3lN+/fp18L0uXLhAg3ABQV7gLrMTvEb2z29i+pl1rcBdUbkwenypO3fugJ38DxXpAk5/YGAg+JRCPO0muNrU8ry8vCFDhoDbzf92knZf8c0338DmYc2aNbI82nFQ9I5IJl13wZg1WN0Q2BwUFAQ1wxTQGAHdgVKsE6Ix9f79+y4uLmztNTU19e/fn003vyzN9oVIBpNenzt3rqysrG/fvtu2bYML2HLARw8uWN8ZfKcUfVGsUqGPup8OYng1qpGJSICNGze6u7szzZNaR4K0T567wB220/wrBNoOuBexX+LTBtsbjY2N33333a5du2BwtG84aAv4AYG7Gdw3srOzKysrn831P0c5hYWFW7duPXnypE2SCNe0Olt1dfWpU6fgtiYmWDKbmzZt2rx5MwseOXIEHnZxcXFXrlzhclmM3ZaxDHjSwegR0+8Pst+vbAugFZgFYWGsX78+KyuLj7E5FRUV/EtcIHjKRElJSU1NDZdRzIkYx25qRSsE7vbZm5j1A1ufQcDS/MTU99dee02IVDiTRDOwCsdYGBC4mcTGxvr5+WmfBeDvvf322ywITcC2rjVJfNOKbAztPwkE44Ve19XVwRDl5uaymICAAIP/KmMwB17meBNNu3QZqx1yoYjsfxiKLZXxPQjheqGwSpEEe3bYucfHx/9fjgEDBvzxj38kz+5AGaxF9UI1jsG9iXpjcvv27cOHD9NHJ2IFdntkIAiCIAiCIAiCIAjSQTEicG/NqZ32lFhXdWA6OdY5OlacgFmEcYG7fU65m5ubJ02aNHny5A8++KB3797sZzkNHkISjchE1h2GrpZDdoKqPiE0aKTQZX6dyOpXHK4SzUoT6jdyXs1j9uzaUoG7wnjFab/ZFe6AAncEQRAEQZ4TthG4L1++PCQk5MaNG+CPtrS0CEFa1tnZmbpNVVVVAwcOXLFiBS1bUFAAqbAbuXz5cqdOnaAIjReCFNiuQCTsNPjvp86ZMwd8NXDU4Hrbtm3ggxYXF9Ok2NhYaOvMmTPEJP4rLCx88OCBq6trWloaMW2BwFmH/LzAXWbnypUrYYN0+/Zt6FFmZiZk0wrcFZULo8eXAubOnevv788kieXl5dQ7rKyszMvLo8oz8CnBHipJz8rK4jcD4EC7ubmlpqYSkw1wDWYcO3aMZdDdV8Ao+fj4MJdXyKMdB0XviGYN8A1R+AWjNljdUE1NDawBDw8PmAUaQ4wNlGKdaGdn8eLFUMmJEyeg+9A1T09POt3aZanuC5EMJku9du2au7v7o0ePHj58CDX/9NNPLEnWKSLvi2KVavuo/XTQeNlqFGCfXDFBKSJ5/Phxv3792PZbrSNB2ifPXeCuXcyMhIQE/ns7QtBSoqOj//SnP8mC7Y2FCxfCnWqYCScnp4iICO0P/NkWNiDjxo2DFgcNGgT3HxcXF/4kBWyYPn06PGtg1ry8vObNm8eUYdYlUWjTimxwY+zZs6eDCeFUiGJ8NuPi4tiNtKSkBO7wSUlJ8IRiZ3zWoVjGdqC6uhoeo3BDhkcPPIP4R4/Nyc/Ph1kIDAzkI3UVjbZFeL5AEBZn9+7dvb29wZ7Q0FAmwMUnkdXYTa1ohcDd6r0J794Y2ZuY9QNbn8FStx+GC0xtamqqr6/PyMiAbrK3xdjWMdYOyIIFC+BufODAgXNPYd8n2bFjB2Q+fvw4XO/fv9+JexuQFUlC07JsxDRE1BL44H/88cdwQbusNV7b66ioqLFjx9bW1sI1+CRQrZF/lckceJnjLVvGCodcKKL7Pwxibkul2IMQeS8UVsmSsrOzYejguUPjKatWrYIdAdTPHgeyFhULlUexMSGG9ybqx8E333wDTdy/f19MQIxht0cGgiAIgiAIgiAIgiAdFCMCd2LJqZ1wZKQ9JdZVHciOjon8BExAfVRlXOBu9Sk3sUSB89FHH/Xq1evmzZtNTU1hYWFTp07VVXrIDiGJRmSi2x3Z6R9/ZC07QVWcEBoxUttlYZ3o1q8+XOVr0NavOK/m+2v87NpSgbvaeN3TfpqkXuEocEcQBEEQ5HlhG4E7uFngPIH3D24N+F5CkJYFx2jkyJG+vr7gw4WHhzOffuvWrZAN9g/Q6LRp01j9QpACjnWfPn0g/+nTp1kkONzg0kG1Xbt2hUb5zU99ff1bb70FHhu06+bmNnPmTIj87LPP4Bo8dS8vL2gFnDZe4C6zE3YL4BG6uLhAqTfffJP/uSvea5dVrt198aXu37+/cOFCqLxbt25QBP6mp6cT048E9ezZEyrs168fOLIRERHgj0I8+Kn8F3ChZhgT9v5a2HtQ4RrLINtXlJSU9OjRg35BVsijOw6y3hHNGhAaIs8uGLMGKxoipu1Nly5deHmBkYFSrBPt7MCeYd68edA6zAUkQYUrV64kesvSbF9kg0mBbRLdkBw7dmzw4MEsnsg7ReR9UaxSbR91Px1EvhoF2CdXTFCKSADYTUF3qMxFm4q0f9qzwN3sr/UZ58mTJ3CfYc8aIdgOqaysZIr2U6dOwUd4y5Ytz2axJfyAwC0Ibj40PjMzE+4MRUVFNLhu3TofHx/6eS8vL4fP/hdffNGaJMI1rchWWFi4fft2+k4CrcDdotnkBe6w+IcNG/ZsupUolrEdgEfPq6++ChdHjx4NCAgQk21KTEwM3OednZ3pWR6FdznaCK3AnQUvXbo0YMAAuD9okxCLsJta0QqBu9V7E969MbI3MesHtj6DpW4/9BS8O+gUZIObZGpqKvvyj20dY+2AwH3Y4Vn4s3Uo6OrqCgMO2dauXcuVszhJ27RuNuDw4cOCSfSWrq1B2+tr164FBQVBtfSbVAZ/7FjmwMscb9kyVjjkQhHd/2HQa8WWSrEHIfJeKKySJUFP6ROHhz6g8/Ly2ONA1qJiofIoNibE8N5Em8Sze/duaOLu3btiAmIMuz0yEARBEARBEARBEATpoOie/LTm1E44MtKeEhM91YHs6JjIT8AE1EdVxgXuVp9yE8MKnMLCQhhJplqurq6Gqj7++GOiMUxxCCkTohCuO7LTP/7IWnaCqjghNGKk9ihYWCey+hWHq3wN2vqJ/Lya76/xs2tLBe5EabzuaT9NUq9wBxS4IwiCIAjynLBA4N4amKd18eJFcL7FZBNhYWEZGRmyoFnA4QbPmCmAeW7fvg1J9CuPlHv37pWVlcm+OEskdra0tEBkVVWVEC9gtnIZ4LWDnZWVlU1NTXw87dqdO3f4yDZFMV9W985SFA3B9iwhIUGMNTZQinUiA6bjxRdfpF9ytXRZEuVgGkHRKd2+GFylDO2ngyJbjQjSTgTu8EkMDg6GjySTcW/atKlPnz4BAQHRJlJTU/ngtWvXUlJStm/f/sknn4wbNy4kJITXf9+6dauwsLCxsZHF5OXl+fn5aYPFxcXspKy2thZq/vzzz2lwz549q1atan0Ges2wND+lf//+sjeUQ8cnTpw4fPjwuXPnXrp0icXT8dm4cSMMTnx8fHNz85o1a0aPHj1hwoSsrKwNGzbwdz9hfBhQys3NjeUcOXIkr2OOjIxkqmLrkgjXtDobxUFP4M4bL/SamO6ia9euHTNmDO04E7ivX79+2LBhPj4+MAW6X5yAZ1ZsbOyIESPGjx+/cOFCdl89ePDg66+/DmVfffVVWKU0UraMgZycHOhIUFBQVFTU999/z+LB1B07doCpUD/Ytn//fjAVrBo7duykSZPY6x+I6URy/vz5EA+dWrlyJVPjPXr0qMjE7NmzFyxYABe/+c1vpk+fDhdsJch6IbNKnQRNu7u75+bmTpkyhf1kJHn2uFPWomyh8mg/uQyFwJ2YzhZ9fX11kxDj2E2tKBO4twYj7lkr9ybPEfjonTlz5urVq2a9OF1nUg1zjK0YEHBooTld996iJN2mtdkU6NagBW6z58+fv3LliphgDpkDL3O8ZbTeIVdsqcwi64XCKkWSEWQtWrFQkfaG3R4ZCIIgCIIgCIIgCIJ0UHQF7rpYfWqnRas6MHt03MoTsFGjRkH9FRUV1hXnMWsq0RyEGjwXbSNkp388shNUq08IDXZZt34jh6uy+i06r+aRVWgpRoznZTAM7QqvqamBFYsCdwRBEARBnhf2FrgryM3NBTdLFkTsiZH5ei6A6wwOvYuLC+zTxDSb8sMPP2zevBmc/m+//TYuLs7X15euRiuWZbsdTASxjvYgcO/Xr19MTMzXX3+dmprq5ORUUFBATK8tHzVq1IwZM3ab+Mc//sEHYTcOBXv16jV79mz4IK9Zs8bV1XX79u20Tu3bFJYsWbJ8+XJtsLq6GnJeuHABrrOzs6GS4OBgmmfWrFnvvfde6zPQa4ZF+RsbG+/evbtx40ZPT8/Spz8hxwOjSl8/AIMAxeHmxg6SYHz69u37xhtv7Ny588CBA8nJyV27doVb7sGDB6dOnQpDx3T2RDM+DLhtgrXHjh0jT8Xu/A87/vnPf4YmrE6i0KbNZqPoCtx544VeQwysjc6dO2/atCknJ2fixIms40VFRfA48Pf3h+UEo8dXSEza8RdeeAFqPnr0KNSTlJREn1NgIUzZ+++/f/jw4R07drDHgWwZb9myxcvLC2yAIEwBTBabR2rq/Pnz9+3bB/MOj8L4+PhFixZBENqFGb916xbNuW7durVr1+bn5+/duzc0NPSVV16h8VevXh1swtHR8cUXX4QLsK1///5wQX+2UtYLhVWKJACWYu/evZuamqDvMKrsZJAJ3GUtKhYqj/aTy1AL3OE+wN5YjAJ3q7GbWrFNBe4KcG/C0HWMn+OAtL7p1teAIIhF2O2RgSAIgiAIgiAIgiBIB8W4wN0myFQHRo6OW8Obb75J/1PDfhvZaoyYiqfcbd1lm9dv8woFdE/7xUzPkpiYSBftiRMnxDQUuCMIgiAI0vbYSeAeFRWVkpIixiLtlXY7XyNGjAgICODfdNtGnD17dvLkyf7+/uCpR0dHy94da4R2O5gIYh3tQeA+atSolpYWGpwyZQp7FfSMGTP4V2sLQSgIH+rm5mYahN14YGAgvS4tLU1OTmbqW6i8b9++R44c0Q3CbYG+hzshIWHx4sVubm719fVNTU3e3t45OTk2ySBgMD8VlwMeHh67d+/+3/JPaWxs9PHxYT8aCEE/P7+kpCQahPF5+eWX6cA+evSoc+fOTD4OI+Pr68sE7sKAMKDUuHHjJk6cSCu5d+8eGPPVV1+xDJ999hnYZnUS4ZpWZ2NoBe6C8XyvgSdPnsAQbdiwgQbr6upgkGW/bskDjwloq7q6mo+E2rp16/bhhx/ykRTdZQwz0qNHD17Lu2DBgjlz5rAiY8eOpde0F2FhYTQIiwEa+uKLL2iQp6amxoH7tU1i+spEp06dHpqAi2vXrrEk3V4orFIkUUaPHv373/8eLqAtGMmsrCwazwTushYVC5VH+OTyaAXu8PGHOmES4bkMH6Jdu3bp5kSMYze1YlsI3NE9swgbOsYIgvwysdsjA0EQBEEQBEEQBEGQDoqdBe4y1UEHOjruQKYi7Qebn/ajwB1BEARBkLbGTgJ3BEEQ5OdBexC487L1JUuWREZG0muzAvdFixaxYH5+vqOjo6409tSpU127dm1sbNQNJiQk0BZh519QUDBy5Mh9+/YVFRW5uLjU19fbJIOAwfxgYXV1dVlZWVJSkpubG30jOA8VE0MGFhMfHz9z5kx6DeMDg0mvz507Bzn5t1ZMmzaN6byFAaFAEIwMDAxk7xEH26ASXmoPi8fT09PqJMI1rc7G0ArcBeP5XhPTzzhCkfPnz7OYyZMn6wrcKysrM58CpaDCoUOHDhgwIDEx8fDhw0+ePCEm+TXUpvsqfd1lTL+i8M477yQnJ69atQrmEVofNmyYbpHg4GD+zRyQbd26dfQapuAPf/hDeHg4RA4ZMgTW+cGDB1lOGBCq5z569OigQYNYPDFNorYXCqsUSSyVdR8+fUxHzgTuui2qF6pBtAL37t27Q7tTpkzp3LnzrFmzaFvanIhx7KZWbAuBO4IgCGJP7PbIQBAEQRAEQRAEQRCkg2JngTuCIDYBBe4IgiAIgrQ1KHBHEARBLKA9CNx5Xe9vf/vbN954g16bFbgvX76cBY8fP+7g4HD79m0Ww/jggw/i4uJkwezsbB8fn6qqKnd394cPHyYmJkK1KSkpISEhtsogYGl+YOrUqbNmzRIiS0pKoMuXL19mMUuXLg0PD6fX/MBSZXZFRQXLCbUxnbcwIMT0BvG33npr4MCB/OvAW1paPD092dvQiamgv7+/1Un0mjatzsbQCtwF44XlRIcIhprFREZG6grcT5w4MeUp+fn5ENPQ0JCenh4REdGlSxewBMb55MmTUJvuyw90l3FxcTHkh/ldzUFf3q8tEhoampyczILDhw9nrzwfM2bM9OnTDx06BPNYXl7u6uq6Z88eYnofiZ+fn7e3t5eXF1x0797dw8MDLqAqVo+2FwqrFEnA7373O2dn59CnvPTSS46Ojj/++CPhBO66LaoXqkG0AncWvHr1qq+vL6wEbRJiEXZTK6LAHUEQpKNjt0cGgiAIgiAIgiAIgiAdFBS4I0hHBAXuCIIgCIK0NRYI3FevXv3ll1+KsW3A9evXqf5JN9imWNdH2G5lZWWJseawrpR18G3J+mhze2QN/Tyw+bK8f/9+S0sLXDx48KC5uZlGGp8UKHvq1KnKyko+sv1MQUVFBXsjMlyfMlFSUlJTU/NsxmdyIu2T9ixwh4tly5axJCH4KxMsmJGR4e3tzYI8Q4cO5V8NLgRra2udnJyWLl1Ka8vLyxsyZEh4eHhSUpKtMghYmp+Y+v7aa68JkfX19Y6Ojnv37mUxYWFh7K32/MDCHcnFxYX1uqmpqX///kznLQwI3LJiY2P9/PyEWxAwceLEt99+mwWhiZiYmNYk8U0rsjG0AnfBeGE51dXVwRDl5uaymICAAF2Bu4KGhobAwMDExEQ6cTt37hRzaNqly/jOnTuQ/6uvvuIy/i9CEZnAHR5P0OsLFy7QeLiAIBW4nzt3rqysrG/fvtu2bYMLKAL+HlywzDysFwqrFElPnjzp0aNHfHz8/+UYMGDAH//4R/KswJ3BWlQvVIMoBO7Axo0b3d3d6fcxUOBuNXZTK8oE7nbzc57j3sQKGhsbv/vuu127dsHg6P6ChM3hBwTuM3BPyM7O1j4RwFktLCyEe/LJkydtkkS4ptXZqqurwfOEW5aYYMlsbtq0afPmzSx45MgR8DHi4uKuXLnC5bIYuy1jGbp7EGJ4G2KF/QZrtgjjs9MWrTMePnwITcM6zMnJuXr1qpgsx7ZWwYR+++23O3bsAGP4OX2+2O2RgSAIgiAIgiAIgiBIBwUF7gjSEUGBO4IgCIIgbY0FAndBWcWTkJCwZs0aWdBSoqOj//SnP8mCbYqijwp0dVpmiYmJWbFihRjbNvBtyfr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