{ "cells": [ { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "view-in-github" }, "source": [ "\"Open" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "cllpFMqCUaA9", "outputId": "7df89ff8-292c-4825-8f82-2e90e5827801" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: langchain in /Users/tomazbratanic/anaconda3/lib/python3.11/site-packages (0.1.0)\n", "Requirement already satisfied: neo4j in /Users/tomazbratanic/anaconda3/lib/python3.11/site-packages (5.16.0)\n", "Requirement already satisfied: openai in /Users/tomazbratanic/anaconda3/lib/python3.11/site-packages (1.6.1)\n", "Requirement already satisfied: wikipedia in /Users/tomazbratanic/anaconda3/lib/python3.11/site-packages (1.4.0)\n", "Requirement already satisfied: tiktoken in /Users/tomazbratanic/anaconda3/lib/python3.11/site-packages (0.5.2)\n", "Requirement already satisfied: 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langchain neo4j openai wikipedia tiktoken langchain_openai" ] }, { "cell_type": "markdown", "metadata": { "id": "6puFOim9N5RZ" }, "source": [ "# Constructing knowledge graphs from text using OpenAI functions\n", "## Seamlessy implement information extraction pipeline with LangChain and Neo4j\n", "Extracting structured information from unstructured data like text has been around for some time and is nothing new. However, LLMs brought a significant shift to the field of information extraction. If before you needed a team of machine learning experts to curate datasets and train custom models, you only need access to an LLM nowadays. The barrier to entry has dropped significantly, making what was just a couple of years ago reserved for domain experts more accessible to even non-technical people.\n", "\n", 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)\n", "\n", "The image depicts the transformation of unstructured text into structured information. This process, labeled as the information extraction pipeline, results in a graph representation of information. The nodes represent key entities, while the connecting lines denote the relationships between these entities. Knowledge graphs are useful for [multi-hop question-answering](https://medium.com/neo4j/knowledge-graphs-llms-multi-hop-question-answering-322113f53f51), [real-time analytics](https://medium.com/neo4j/knowledge-graphs-llms-real-time-graph-analytics-89b392eaaa95), or when you want to [combine structured and unstructured data in a single database](https://blog.langchain.dev/using-a-knowledge-graph-to-implement-a-devops-rag-application/).\n", "\n", "While extracting structured information from text has been made more accessible due to LLMs, it is by no means a solved problem. In this blog post, we will use OpenAI functions in combination with LangChain to construct a knowledge graph from a sample Wikipedia page. Along the way, we will discuss best practices as well as some limitations of current LLMs.\n", "\n", "# Neo4j Environment setup\n", "You need to setup a Neo4j to follow along with the examples in this blog post. The easiest way is to start a free instance on Neo4j Aura, which offers cloud instances of Neo4j database. Alternatively, you can also setup a local instance of the Neo4j database by downloading the Neo4j Desktop application and creating a local database instance.\n", "\n", "The following code will instantiate a LangChain wrapper to connect to Neo4j Database." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "id": "F25P-N_DmEBK" }, "outputs": [], "source": [ "from langchain.graphs import Neo4jGraph\n", "\n", "url = \"bolt://54.236.226.158:7687\"\n", "username =\"neo4j\"\n", "password = \"radiuses-investment-college\"\n", "graph = Neo4jGraph(\n", " url=url,\n", " username=username,\n", " password=password\n", ")" ] }, { "cell_type": "markdown", "metadata": { "id": "rzVAN8UgO5Q0" }, "source": [ "## Information extraction pipeline\n", "A typical information extraction pipeline contains the following steps.\n", "\n", "![1_93ZK9-74dYv4eXY-Oe_bkA.png](data:image/png;base64,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)\n", "\n", "In the first step, we run the input text through a coreference resolution model. The coreference resolution is the task of finding all expressions that refer to a specific entity. Simply put, it links all the pronouns to the referred entity. In the named entity recognition part of the pipeline, we try to extract all the mentioned entities. The above example contains three entities: Tomaz, Blog, and Diagram. The next step is the entity disambiguation step, an essential but often overlooked part of an information extraction pipeline. Entity disambiguation is the process of accurately identifying and distinguishing between entities with similar names or references to ensure the correct entity is recognized in a given context. In the last step, the model tried to identify various relationships between entities. For example, it could locate the LIKES relationship between Tomaz and Blog entities.\n", "## Extracting structured information with OpenAI functions\n", "OpenAI functions are a great fit to extract structured information from natural language. The idea behind OpenAI functions is to have an LLM output a predefined JSON object with populated values. The predefined JSON object can be used as input to other functions in so-called RAG applications, or it can be used to extract predefined structured information from text.\n", "\n", "In LangChain, you can pass a Pydantic class as description of the desired JSON object of the OpenAI functions feature. Therefore, we will start by defining the desired structure of information we want to extract from text. LangChain already has definitions of nodes and relationship as Pydantic classes that we can reuse.\n", "\n", "Unfortunately, it turns out that OpenAI functions don't currently support a dictionary object as a value. Therefore, we have to overwrite the properties definition to adhere to the limitations of the functions' endpoint." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "id": "K589QK8WUcPo" }, "outputs": [], "source": [ "from langchain_community.graphs.graph_document import (\n", " Node as BaseNode,\n", " Relationship as BaseRelationship,\n", " GraphDocument,\n", ")\n", "from langchain.schema import Document\n", "from typing import List, Dict, Any, Optional\n", "from langchain.pydantic_v1 import Field, BaseModel\n", "\n", "class Property(BaseModel):\n", " \"\"\"A single property consisting of key and value\"\"\"\n", " key: str = Field(..., description=\"key\")\n", " value: str = Field(..., description=\"value\")\n", "\n", "class Node(BaseNode):\n", " properties: Optional[List[Property]] = Field(\n", " None, description=\"List of node properties\")\n", "\n", "class Relationship(BaseRelationship):\n", " properties: Optional[List[Property]] = Field(\n", " None, description=\"List of relationship properties\"\n", " )\n", "\n", "class KnowledgeGraph(BaseModel):\n", " \"\"\"Generate a knowledge graph with entities and relationships.\"\"\"\n", " nodes: List[Node] = Field(\n", " ..., description=\"List of nodes in the knowledge graph\")\n", " rels: List[Relationship] = Field(\n", " ..., description=\"List of relationships in the knowledge graph\"\n", " )" ] }, { "cell_type": "markdown", "metadata": { "id": "mp1IH_J5PSyD" }, "source": [ "Here, we have overwritten the properties value to be a list of Property classes instead of a dictionary to overcome the limitations of the API. Because you can only pass a single object to the API, we can to combine the nodes and relationships in a single class called KnowledgeGraph." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "id": "-bV8nHwimqS7" }, "outputs": [], "source": [ "def format_property_key(s: str) -> str:\n", " words = s.split()\n", " if not words:\n", " return s\n", " first_word = words[0].lower()\n", " capitalized_words = [word.capitalize() for word in words[1:]]\n", " return \"\".join([first_word] + capitalized_words)\n", "\n", "def props_to_dict(props) -> dict:\n", " \"\"\"Convert properties to a dictionary.\"\"\"\n", " properties = {}\n", " if not props:\n", " return properties\n", " for p in props:\n", " properties[format_property_key(p.key)] = p.value\n", " return properties\n", "\n", "def map_to_base_node(node: Node) -> BaseNode:\n", " \"\"\"Map the KnowledgeGraph Node to the base Node.\"\"\"\n", " properties = props_to_dict(node.properties) if node.properties else {}\n", " # Add name property for better Cypher statement generation\n", " properties[\"name\"] = node.id.title()\n", " return BaseNode(\n", " id=node.id.title(), type=node.type.capitalize(), properties=properties\n", " )\n", "\n", "\n", "def map_to_base_relationship(rel: Relationship) -> BaseRelationship:\n", " \"\"\"Map the KnowledgeGraph Relationship to the base Relationship.\"\"\"\n", " source = map_to_base_node(rel.source)\n", " target = map_to_base_node(rel.target)\n", " properties = props_to_dict(rel.properties) if rel.properties else {}\n", " return BaseRelationship(\n", " source=source, target=target, type=rel.type, properties=properties\n", " )" ] }, { "cell_type": "markdown", "metadata": { "id": "B-66HJMcPekG" }, "source": [ "The only thing left is to do a bit of prompt engineering and we are good to go. How I usually go about prompt engineering is the following:\n", "* Iterate over prompt and improve results using natural language\n", "* If something doesn't work as intended, ask ChatGPT to make it clearer for an LLM to understand the task\n", "* Finally, when the prompt has all the instructions needed, ask ChatGPT to summarize the instructions in a markdown format, saving on tokens and perhaps having more clear instructions\n", "\n", "I specifically chose the markdown format as I have seen somewhere that OpenAI models respond better to markdown syntax in prompts, and it seems to be at least plausible from my experience.\n", "Iterating over prompt engineering, I came up with the following system prompt for an information extraction pipeline." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "id": "kpGkdMyuUmAn" }, "outputs": [], "source": [ "import os\n", "from langchain.chains.openai_functions import (\n", " create_openai_fn_chain,\n", " create_structured_output_chain,\n", ")\n", "from langchain_openai import ChatOpenAI\n", "from langchain.prompts import ChatPromptTemplate\n", "\n", "os.environ[\"OPENAI_API_KEY\"] = \"sk-\"\n", "llm = ChatOpenAI(model=\"gpt-3.5-turbo-16k\", temperature=0)\n", "\n", "def get_extraction_chain(\n", " allowed_nodes: Optional[List[str]] = None,\n", " allowed_rels: Optional[List[str]] = None\n", " ):\n", " prompt = ChatPromptTemplate.from_messages(\n", " [(\n", " \"system\",\n", " f\"\"\"# Knowledge Graph Instructions for GPT-4\n", "## 1. Overview\n", "You are a top-tier algorithm designed for extracting information in structured formats to build a knowledge graph.\n", "- **Nodes** represent entities and concepts. They're akin to Wikipedia nodes.\n", "- The aim is to achieve simplicity and clarity in the knowledge graph, making it accessible for a vast audience.\n", "## 2. Labeling Nodes\n", "- **Consistency**: Ensure you use basic or elementary types for node labels.\n", " - For example, when you identify an entity representing a person, always label it as **\"person\"**. Avoid using more specific terms like \"mathematician\" or \"scientist\".\n", "- **Node IDs**: Never utilize integers as node IDs. Node IDs should be names or human-readable identifiers found in the text.\n", "{'- **Allowed Node Labels:**' + \", \".join(allowed_nodes) if allowed_nodes else \"\"}\n", "{'- **Allowed Relationship Types**:' + \", \".join(allowed_rels) if allowed_rels else \"\"}\n", "## 3. Handling Numerical Data and Dates\n", "- Numerical data, like age or other related information, should be incorporated as attributes or properties of the respective nodes.\n", "- **No Separate Nodes for Dates/Numbers**: Do not create separate nodes for dates or numerical values. Always attach them as attributes or properties of nodes.\n", "- **Property Format**: Properties must be in a key-value format.\n", "- **Quotation Marks**: Never use escaped single or double quotes within property values.\n", "- **Naming Convention**: Use camelCase for property keys, e.g., `birthDate`.\n", "## 4. Coreference Resolution\n", "- **Maintain Entity Consistency**: When extracting entities, it's vital to ensure consistency.\n", "If an entity, such as \"John Doe\", is mentioned multiple times in the text but is referred to by different names or pronouns (e.g., \"Joe\", \"he\"),\n", "always use the most complete identifier for that entity throughout the knowledge graph. In this example, use \"John Doe\" as the entity ID.\n", "Remember, the knowledge graph should be coherent and easily understandable, so maintaining consistency in entity references is crucial.\n", "## 5. Strict Compliance\n", "Adhere to the rules strictly. Non-compliance will result in termination.\n", " \"\"\"),\n", " (\"human\", \"Use the given format to extract information from the following input: {input}\"),\n", " (\"human\", \"Tip: Make sure to answer in the correct format\"),\n", " ])\n", " return create_structured_output_chain(KnowledgeGraph, llm, prompt, verbose=False)" ] }, { "cell_type": "markdown", "metadata": { "id": "qtpkiUmePohB" }, "source": [ "You can see that we are using the 16k version of the GPT-3.5 model. The main reason is that the OpenAI function output is a structured JSON object, and structured JSON syntax adds a lot of token overhead to the result. Essentially, you are paying for the convenience of structured output in increased token space.\n", "\n", "Besides the general instructions, I have also added the option to limit which node or relationship types should be extracted from text. You'll see through examples why this might come in handy.\n", "We have the Neo4j connection and LLM prompt ready, which means we can define the information extraction pipeline as a single function." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "id": "Gu7aaanyU2NW" }, "outputs": [], "source": [ "def extract_and_store_graph(\n", " document: Document,\n", " nodes:Optional[List[str]] = None,\n", " rels:Optional[List[str]]=None) -> None:\n", " # Extract graph data using OpenAI functions\n", " extract_chain = get_extraction_chain(nodes, rels)\n", " data = extract_chain.invoke(document.page_content)['function']\n", " # Construct a graph document\n", " graph_document = GraphDocument(\n", " nodes = [map_to_base_node(node) for node in data.nodes],\n", " relationships = [map_to_base_relationship(rel) for rel in data.rels],\n", " source = document\n", " )\n", " # Store information into a graph\n", " graph.add_graph_documents([graph_document])" ] }, { "cell_type": "markdown", "metadata": { "id": "Je_UuAIYPsc5" }, "source": [ "The function takes in a LangChain document as well as optional nodes and relationship parameters, which are used to limit the types of objects we want the LLM to identify and extract. A month or so ago, we added the add_graph_documents method the Neo4j graph object, which we can utilize here to seamlessly import the graph.\n", "## Evaluation\n", "We will extract information from the Walt Disney Wikipedia page and construct a knowledge graph to test the pipeline. Here, we will utilize the Wikipedia loader and text chunking modules provided by LangChain." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "id": "wCvmpkhnyL0R" }, "outputs": [], "source": [ "from langchain.document_loaders import WikipediaLoader\n", "from langchain.text_splitter import TokenTextSplitter\n", "\n", "# Read the wikipedia article\n", "raw_documents = WikipediaLoader(query=\"Walt Disney\").load()\n", "# Define chunking strategy\n", "text_splitter = TokenTextSplitter(chunk_size=2048, chunk_overlap=24)\n", "\n", "# Only take the first the raw_documents\n", "documents = text_splitter.split_documents(raw_documents[:3])" ] }, { "cell_type": "markdown", "metadata": { "id": "a1snZNAvPwC3" }, "source": [ "You might have noticed that we use a relatively large chunk_size value. The reason is that we want to provide as much context as possible around a single sentence in order for the coreference resolution part to work as best as possible. Remember, the coreference step will only work if the entity and its reference appear in the same chunk; otherwise, the LLM doesn't have enough information to link the two.\n", "\n", "Now we can go ahead and run the documents through the information extraction pipeline." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "CULLN4VMU_Ou", "outputId": "1171611b-c820-4f7f-aac4-8a44040d0a9f" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 3/3 [01:54<00:00, 38.18s/it]\n" ] } ], "source": [ "from tqdm import tqdm\n", "\n", "for i, d in tqdm(enumerate(documents), total=len(documents)):\n", " extract_and_store_graph(d)" ] }, { "cell_type": "markdown", "metadata": { "id": "-BwMNjWMPyR-" }, "source": [ "The process takes around 5 minutes, which is relatively slow. Therefore, you would probably want parallel API calls in production to deal with this problem and achieve some sort of scalability.\n", "Let's first look at the types of nodes and relationships the LLM identified.\n", "\n", "![Screenshot from 2023-10-18 11-05-33.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAc4AAAKRCAYAAADd1kkPAAAABHNCSVQICAgIfAhkiAAAABl0RVh0U29mdHdhcmUAZ25vbWUtc2NyZWVuc2hvdO8Dvz4AAAAmdEVYdENyZWF0aW9uIFRpbWUAc3JlIDE4IG9rdCAyMDIzIDExOjA1OjQxZoRhKgAAIABJREFUeJzs3VmsJHli1/tv7JH7vpx9qa27p3t6unvGd3Qt2whjLEsggQRvIEBChiuxXGQJHsF+wJaQsBCy/GDJ1hVGxoAQHmPpgvexuDMemPFMTy/VtZ8tl5N7ZmTsEf/7kKdqarqruqZmaq//56VKlZER/4zMil/811D+1Y8IgSRJkiRJ3xNFCBmckvS8+tmf+3l+60u/87SLIUkvFfVpF0CSJEmSnicyOCVJkiTpIcjglCRJkqSHIINTkiRJkh6CDE5JkiRJeggyOCVJkiTpIcjglCRJkqSHIINTkiRJkh6C/rQLIEnS46FpGs1Wi4uXXqFUrqAoytMpiBB4vsfhrVtcv3aVKIruu6mdyfDm596i1WqjqPK+/qUkIEkT+t0O737rmwRB8LRL9AkyOCXpBVWvN3jr7c+zf+48dibzVMsSRxG1Wh0UhcsfvH/PbXRd5+23P89nP/cWuXz+6QW99NQJIVhbX0fVNL721a/wrC1wJ2/pJOkFVa3X2XsGQhNANwxarTb7++fuu42mabzx5ufIFwoyNF9yiqJQLJb47Jufe9pFuScZnJL0gjJNk8wzEJq36YZBNpu77+uKolAoFp9giaRn2er3UHraxbgnGZySJD05siIpvQBkcEqSJEnSQ5DBKUmSJEkPQY6qlaSXkopu5Wmt5Qh7PQa+AEUlW19nuxQzOBoSFmo0ShksXSENPSbDEeNlRKJmqNQrVAsmyWzI6cQhNMs0qlk0f85o7OAmj6vcGsVmi2bJRnVHdIYLnCC985msXJ5KuUgha6ArgjjwmE1nTBYJZqFMs2YSTgZ0JhGqmaHSqFO1IqaDEROtyn4rg+JNuHU4xQeUYovzLZ3ZcY+Rn4BdoF4tUsyY6Cokocd8MmPs+GiFGs2ySTybMpy6kC9Tr1XIJgtGwxHj2KJYqdDMqgRuiF6wiCcDjscBd8aMKip6scm5dhbtY588WQw4WNqs1XNk9FWdJ01iAtdhPJnj+DGJAEWzyJeKVEtZMoaKIhKC5ZLJdM7MA7tYZq1dwLp75yIhcmec9AKKm2tUb78oUqLAZTqeMHIi0gcNblVsKs0KtZJFMp8wHM9YhAAKhp2jXC1TzpkYqiCJApbzGYPRkuDZGjT7QDI4Jeklo2gGdrHOdqvKxl4Z31TJjMeczE22L17gVf2Y+Shl4+J5NiyfhaeSKxi0soJ3by4xG222N1ps1m2WBwFLZ0mk2dTaGzREBjUMOJxFPJZroZZjbW+PV9aKGNObRH6AF/gkgJ4rsba9xW4zh0FCLBQ0RRDMBxwczgiLbS5cyrO46nDq6JTXtri4V8d2OjgTHbOyyRuv19DcHvFkwfVFglpe57VXbW5NhsxEjtbuDvutHFqakAoV01AJ5wNu3uywyFfZ2q+hdFM8J0StNjn/yh61sMeVeMF8kaOxucMrlZRh16W4V8a/tuDk48FZ2eCNNxrE4wETX9x5LRIzOnqL85fa5GOHmReRKAamEjHvn3D9cMTYVyg02uxtN2lkVUSSIjQdTYRM+ydcP3LQKm0uvtrCcuaM3Xi18zQm0HxORxobFy5yMbOkP1ySqDqmpRJNely5ekzfWYXz/aiZEhs7e1zcLBD3bvJe6OKMIzCyVFobXNipkkkD/ETFtAxUb4Qe3eDWLH4cv5bHRganJL1sFBUjV6C1XqVkmGTbDdxgwam6xl5DZfytDgNlg8/Usoij63x4oLL/uUts1gpkTiCXVQl8Hz807lzUw8WU00md2kaZenXM6XyC9xiSUy9UqeVVkiDAzBSp5GxOpz7L1KDYaLO9XsJwTrl5NGQe6xRrNZr5DIWsy+RsH5puUWo1OLdTJ+f1uXztmI6jkKsAJERalfN7FTrvj/jO1HuFXHOLiztVlOEJNzpj5pFGobXJ+Y02u4HLh+OAZahQy1pkshlU28bSBIqqk81myQYGuYxG4jvM3ZRPGz8sRMzs6BrvnqakZ3MYReTjV9pAinN6xJUTh0AvsL6zzfbWOqHr4U9N1jbXWM/HjDpHHI18UqtIs1Umn7HJmEtCWLUgdA9492h59h0K0jgipABCkLojLr9/hKfbVNZ3+MzeHpfcGZPrM7wovU+pFexSkWJWJQ1jVDtHqZDFnMwIrSyleoW6FXJ09SbXxlCo1mgVUxTt+RsxJoNTkl4yIokJ5jNGQZN8vCARLoOxT263RknMuHbqkogZw2lAO1ukWdfIqhHTkUsQOTiHE8LcBrliljuTS0TAbL7EWStQKOTIGxO88FGXXKPYqFDSQ047c4qNPOVyluxwzjLIUCrmyClLTjo9DjozIhQm8znDjAmRQqYBimqQqzQ516xQVyd8dO2Q42kEugkIROoz7CXUN7fZPJpx8841XafWrJBXllw77HAydPFTGLoaxfJ5tsoFMmMHz0vQbJtsIY9iaySByyJQsLN5Sq5GzgB/smQeP2CakEiJfYf5Il01j4pVzVMrCUCQBEsW8xmzYI6r5Sm/2qBcylLRspQLBtG0y9Fhj46bgrJgNh2TNRNcV6FQAiFSosBjsViyikGBECpG5uzvSYgzXzAXCyaOSn3tTbZaVTK3FvhReu/WBMWiUs6RUz1OBx6GbVMo5MkbM8ZpTBTFxIpBrlCkGnoEzpCbQ5e5c/+VpJ5VMjgl6WWUxHiTPldGM/RGDlApFbIo3pBpAEJ1mS9j1mtVNkwNW08YuD5x5OGEKYr18UunIPQD/AgqlknGVCB8xFVOLUezlkMPRgx6Mzw7x2apSD47YRwamIYGsUcQhSRnZYp8j6nvgZbDAlTDJlutYwtBPPVZeAl3159EmjA9PiauX2R/t0J/pqAogGKQsXTUyMcJUuKzNwkvIAgSlIKBngQs3YAknyFfUcBSCOYL/FijmC1RK6RYasRy4eCJTw9ORdHI1tbZUZNVSIkEZzRk+onhnALPDwhilaKhk8kYGFpCEIQEYYpu5ygW8xQsFZIIVaSorJrrc5UG29v51V6SGHc2ZXKvFtNwySIQqKaFrSqowL26sBW7SKWUQfVH9Ho+meY6G8UcpbzOeLpk3OtznGnTbGzyaiMh9D2mowFHx6ecLmVTrSRJzzKRECxH3Lg8Rk0FDFQU1eaCoUEcE6agVje4sG7j3XiPb/dh7bXX2N1s0h0sccOAezbWJQlpIlA0Fe3jI1seAa1Qo1YwUSOVTN5AUxXMfIlqzuZ0npIkAlQdXdNQgRTQDBPLMlBSfTWFVER4iwm9+Wod3ws7U5yrI5zbpwZB7Pa5crjBj+5usRmrqJzV0OIEoRqYuoKqAAIU3UDTVUSakiYejusTUqRcNkmjiOVkxpQi+bU8FUL01Ge+8BDmAz6sopFvbnKufKeHk144xblHq6ZhGKuBSnFKFKakQsHUNTRdRc8UaG5sstvIkdUiBkcdbjigGhb5WpvzuVUEppHP+NBlMrzXiTfJ6EAcEQtxn75rBbtSopSz0EKdnKlj6ipWvkCpmMOcOXizITcuL+jnchSLBaq1Gut7ObIsGX00u2cYP6tkcErSyyoVqwBMU1RVkKYpGCqaAno2R0ZLmC1d3GXC0k9Qqja2rmPoMYmmoiqgqBq6rqGpCUJRUZTVOqMPHH350FSKjSolXSCUMls7RVA0FMOgXMqQG01xlh5hPU+lUqY2T3BSlVylQbtmE41nLIAk9Fl0Dviwp+NZFzm/tcf5uccHp7ebCwWIiOGtQzqbr7HfCtG0CAiYThz8Wp5Wo8Q0AidWsGplKlkVf7rE8wOWwsNNKqwXbeLpkOFiytywiIw6dUvFm58ydxKoAoqCphvYtkWKWPUtirNkFCnT4+t8OLrdLJoSOAlJafW6ohlYlk3WMGk2CuQ1n5HjMZ1DsdlgvViiXlvgL5acHh8h4jW2m5k7a76moc+0d8gHXe/scCmhH6HdHmuraFiWha1o2LU1mtmU5dGMZZLe+6ZJsaiUC+QMBV2rsLaVgmagGQqlYp5KXkC5Qkn1GZ8OORxPmbop9qttMhkbAxmckiQ9dxIcN4RihpwO8/mEsVeg1G6zaarU8wrhfIGTGBQaRXLVIjlLx8qXaLUiYjHDMQ0MQyH1YsJH3W2l5WjVcxjhiCsfHdNfhKR6kb1Le6yViuQzEzrDId1ylu3mBq/YRRaxRq6QJ4vDyVjcdcFPCdwZB9dPKHx2l62LO8y8AwZ3Xhfgdrl6uEn7lSq6MkdBMOl26VT32Nza5mJugRNrFMpF8smMo+6EmRsTJR5LH7SmQZz6uK6DZ5UIE52MrTJ3lywiMLjdXNpif6+8OmYa406HdABQMPNFasDt9c1FFo4SFQUVu9JiSymTmkUalQzptEN3vGS28On3S5R2KmztmxTmLqFiksvbqOGSxXLVWqBoOlauQO3OvJOUJDAZ9SJQFFSryPb+FqFqUWk3Md0RV46mhPG9BwYpdolqyUbz+ly92aU7iyBTY29vnXYhT7WaElda7FcUWuUxY1/BLpSwI5fRzOWRd4c/ZjI4JUkiTRMmoxnBTplmUaczPOGDawbn1qpsbyjE7pDrNzuMwjx7+23WSjZK4BPqRRrrGpGXoGsZckaCN/RYPuqJeUYGI1ky7PXojmbMvARBwHG3gFVX0BQNMelz61pCtNGiXSlQVRICZ8CNTp+jYUymkWM2Ebh+AmmEN+tz5VoGaydHo55h4CwZj7WzOaiC0cEBB1WFmumyjFISp8cHH6b42y2apSI1NSVyhlw/6XA8Wq7e57vMJhNOcyHRZMHCiwlSh/FwSMkLGYwdlmlKPvSYzT2KRpH19uojiiRiFk/puEtGYxMj12Dt7qV9lxGnHZ/ZZE7RLlCrF0jjgEX/kIPDPoN5QCqgf3RIGgVsrVUolysoaYi7GHCtf0p3GGPVc8wWPgWzdOfYkBB6E5a9U5zZnHFOp9ZqQBrjzTpcPjjkxiTiPrmJahsQugxHp/QHU6aeAEfQzdiYVUHoLelPD1DiNu1yjbWSIPJdugd9Do4X967FPsMU8aw9r0WSpO/Zz/7cz/NbX/qde7725ltv8xM/+VPf244UFTXT4od+9A2aw3f5w2/1caL79Wd9kmqW2XvlHHtFn+NrN7ja8+7Z9Hbr5g3+82/+xj33Yds2/+D//pnv8YjSk6eimzq6+smOVpFERHH6yJvo0zTlF//VLzxzjxWTNU5JkkCkCG/AR9cHlDfqNOxT3Fh86mT3u5mFPHkzYdYf0h/fOzSl551BoVajbGt8fOplOB8xmHl40bMVcI+LDE5JkoDVpPvJ1T/j/7368O/1R8d8a3T86AslPUMCJt3OnYUkXmZykXdJkiRJeggyOCXpBSXSsykmzwghBEly/0ZcAZ/6uvTyeVZ/DzI4JekFNZ9POe33no2BFULgOAt6nZP7bpImCTevX302yis9dUmScOPa99Fv8ATIPk5JekEdHx3x1a/8T774xR+m2W6jKE9nMW1xFprvvfstvvGNr993uziO+b3f/R+Awt6586iqvK9/KQlBfBaav/97/+OZvJGSwSlJL6g4jrl+9So3rl172kUBVgH6aRdBIQTOYsGX/ut/eYKlkp5lz1JXw91kcErSC+xBYfUselYvlpJ0m2wLkSRJkqSHIINTkiRJkh6CDE5JkiRJeggyOCVJkiTpIcjglCRJkqSHIEfVStILStM01tY3+Mzrb1Cp1nhK0zifKgG4jsO1q1e4evUKUXjvJz8qikK+UOCdd75Ae339qc15lX5wQsBsOuGDD97j5OiIOI4f+TFkcErSC6rZavPO57/Azt4epmk9+A0vqDiOKRSKCODD99+75zaWZfFDP/RFXvnM62QymSdbQOmRa7ZaZDIZ0iTl6PDgke9fNtVK0guqWq2yvftyhyaArus0Wi22trbvu41hGFx67TUZmi8I0zTZ3N6m3mg8lv3L4JSkF5RuGFjWyx2at+m6/qnnQlFUstncEyyR9LiZpoVhmI9l3zI4JUl6OXxav6Xs0pQeggxOSZIkSXoIMjglSZIk6SHIUbWS9NJRMOw8azsb1O2zfxKQJhHefMxRZ4KrlNm/1KKoK3furkUcsZyP6fbnOGECRoZKrUK9nCNraIgkZDmfMBjNccjRaNZZL3+sj0kk+L7HZK5SqyjMTg45mgsUTafQ3uZcNaHz0SFuY59zNQP1Y02oi94Bx0GetWaZUka708KaxiHOdEx/tGDhP46HH2vkaw3a1Tw5W0cRCb4z5fR0ysyLSASgZqi167RrGZLZkF5/wjQQKHaBRrNGXffod08ZeQLVzFButtjIhvQOuowSi1KzSbucIaMrpElM4Iw5Op7g5td4ZauArX33yUjmA252pyz8hHsu46/oZApFGvUypayBTkrgOUxGE4ZTn9TKUl3bYKukfec9QpAEM25d7TG711r7Womd803KloamgEgTQnfJaDhmvPCJ7Aqb7Sq1gvFdtbLUcxgMBnQmAUIxyJWqbG6WMUOH0+MOo9imtrnDRuFjxxOAO+CWX2arEtG/esIgSEiETm17mzXbp3c8ZOKGPMlHXsvglKSXjopu5mhv77BrzDjpL4gUHavQYGe9guZ9k8tOkc39HZrRjNNZQJyAUamz1ixii2tcO43Itjc5v12loKaEUQJmmUajRClzzK1RjGoYmGaWTD5PpagTL2YM5x6pEOSqVc7vqhxNjlbBqerkmhtc2gnxbxxBY4OL+zrz7oh5LFhdw1MMTUHNVdjc2aSKw8wJCFINK1ulVc9jKQfc7MxwH/EDVuzaBhcvbtC0ErwwIlVMmo0y1cwRHx0MGbsxSqZIe3OLS5sFkoFK7DrMghDVylJpr7NvTwlGp4w8UA2TYnON8zWXsD9gabR55eImxXjBZJmgFWpsb1Qww2/zod5g/1wLbT5ktIyJz1Iy1lUUhXuHJip2qcb27gabZRMRBkToVOpVmpUs1o0TupFNdW2D842UcW+KIwCRkggN9X4P1NHyrO1usa64jGY+ETq1eo1GJcPNGyf0lSLNzU22sxGzmYN7NoUyjTX0syRVjAyl5gaXLjSxvAkZf8y4D5quY1k6eqbEWs3CH/U5XaYQauQaG1zcCYgPe4yChETRKbfWOVde4I+mzGRwSpL0RIiEyBlx9fIRS9WivPca7YtlqlkFxVltEs36XL06xg0FRnWHt15t0K7l6MU6G1stqtqM48Me3VmEkq2yvdumtd7Ccw+5eXzI4jRHfX0Ly87g9o95/2BBotvk16oAKJqGrquomor68cE7wqN/4xa33NthIUhCn7ACkOKOe9w4HDMNNHJrO7yyU6JZyTMYzHCDR3ielAzNnS22ywkn1485GjlEapbGWpOKpmNoKgoqmVKRUlYlDiIUM0epkMMahUQP2r+mY5RrrJd0xh8d8cGBh56v46xn8GOB0Faf1+kf8lHHwz8LIxGHeOF97hD0DNVWk826RTTocP1kiicsqmtr7K632QlcFocBkBL5M46uXqcTAQiESPAf8CS6eDHgxvUhi9igvL7DpY0228sFy5kKCPzZgKMbXXrLsx2lMWEYIlCwMjalcgY99nBjk1KtjHXSZ3h0A6dvkm2do1HRWHRu8H43hSQmdxFAQdU0dF1DiNXv5WmN6ZLBKUkvK0VFzxRZ31wnVDTsgk68GNKfJXee4ZnGAUvHxQkFVjYiTsFQFOxymXJOwT0ZcNIdMvIFTAP0bJ7Kbp5izkLtzFmEKrkgJk0T4sBn4bgISyUDqIZNdWOP18oCRdXIlQ3g7sRLCTyX5TImEiAQIDirDQnSKMBduswDFcUPSVLBqjVT4X71sO+LVqBZs1GWBxyeDBgsI1IWOO6Svpbg+zFCsSiXcuRUj8FgiWbbFIp5iuaU0YP2L1KSwGWZlMhWGmxFSzwvYHA0ZDQJSNdX5yIJPVzXxb0TcPffpWLlKRbzWNGM426XzjBEoOKjk6+V2CgVKZuDs8PHhJ6Lc3tRJSEeePbSJMRbLpktY+ZxlkZtl0Y5RzbQUBCkcYjvuThLAWffmwBQTDLZPJU8OOMhvbDEdqlC3e5xa+kSRjFpsGp6joMlCycFVDIIUGwauztoQUKKTqVkYjylUToyOCXpZaUoqLpNuVokRkXTU+IoxbAslGB1L68XGuztZwgThUylgh3P6Y1dkkwDTY1x/Ig4ul2rCAnDiEisagX6p1YHFBRVx8oXqBqAqmJaH7sKKhaNnW2UICUF0tRjdDJiDoBKptxkey9LPdEpVEpY0YLedMkyesQP7lZNLEMhmnmEaXoWKoJgubgT82q2SKWUQfVHnHZdjOYG24U8pYLB6J5VToU7c2CSCH/U46NbOluVClvbFRApwXLGyc1bHCirz5trbHJOD4lSQCQshqcM5j7BPdooFV1f1cyiiCiMzsqcEsURXpCi2TqWAQkqulVgbX8XO2EV4t6Mg6Mp32ulPfV8gihFNQx0DRQUrEKNjR2NfCCAFH8xYzSascAmVyxSUAOGvVP66KxXCzSrFgdL/wGBrZEpFKhkUgQqGVNFfZLts3eRwSlJL6s0IVwM+PC9Y5ZoGNkGb37hApf2xhx8+yw47Ty1mglWgWpeYXbrI05GLn4tJklVTFNH0xVIBKg6hqGjKwlBkqyaV+8bnoIk9BgeXOXyCFTdoLL/BtX1u7cxyFerKPFZWKUOwekE56xWaWQLVLGp2nmKVszo4JjecPHI+zcRMVEs0EwLQ1VRSBAomLk8OT3FdwO0cpFSzsJIMpSLoNs6mXyOUjGHOVrVDhVFQb3dz6coaJqKEII0FRB7DA4PmPcscvkshWKV7b09XmdK71RBQcXIl6lr8WogEjG6O2bicM/gFElCEqeQMdANHYUIgYKm6ZiGQhonRDGoKGi6TbFWxUgBkRIvQk6OpwTf4/2HapmYhkoaxSSphkBBt3OUKipWsgrOpRrhzub4ZoZipUDWiLFzRVqqgW7aVBoVMsdd3E/9Hjx6165z6MbEwmDjM69z4SmtWSGDU5JeZiIljmJiUvADwkTFtE30s6EW4aTDh1fGhNl1Xn+lha5qqAp48wVzr0qzVqW5CEhmEYpdoVnNYYQu84W36if7tFqnSAiXDpNpimrYmNHHEkD4DA6O6PjfCQsvSkkzq6bY5eCEK0cTwsIWF3eKqMo9+kkfhWTBYBKwXquxXl+QaC6RYlHf3KSlzzk8mKKV8+R0gcCmWDFAh1SxKZbyFCcuYRAhyhlKlRKlOMYslqjmNJLAx00M8s119iowOe4x6C8YT2NKm202Mzb6WdOzc3rCjUFAkKyaPyMvIkrv3Swt/CULxyUuFag1G0zCGb4wqdSr1GzBsr9gFkCFhNCbc+uDa9/p44xDvAeEpqIZ2BmbnKpSXKtSsVLcoYvrZxCAPx/TOT5leLajJPJZJia5XJ5qwYAkwixWqKo6UQh2uUIz0+PWvdfgv/1F4DsO03lIhE01TEiz388X+oOTwSlJLytFRc+W2d2HABXDLlFVHAanU3yRB273cS5ZTA65USnyxtoaWxOHZXfMSbdAbrPM1q5NxY1QrCw5O2HaG9CfuI9glKNBoValHaekZ/2agdXnMFWAlCTyWDoLRrMO2XyGC7UG64sli8MJy/gRNtemS7qHXZqZNu3dbXJ1n1jNUCwYROMpqVWkVsqgeafcuNHlZBZBpsLu3iYb+QJla8ZgPGFUbVHfPodRDlHtHHl1Sf94wCRRydp5GmslGjmbqhMjrDylxKF/OicQFUDBKpZpKjHxWY06DXQOj8ZM3YhPVLLjJZPTAb3CJuvNTV7NVvGFQSZnoy2GHHRHzNMsFSBNI7yFw/xTQ+u76bka2zs2LWFSKuVQnSFH/TkLsVrW0MjkKNdrGGf7FLHLeB6hFIrkFYfuret82PURuk25vcNnd0q06hYHnUfdXPB4yOCUpJeOIIl9JsMhdgZy5SI5gCSgd7PDwc0JYaIy6p3iTX3iVCBSl87BMSW1RtbQ0BWf08MDRNBgrVEib+qIcE63O6JzOmHinV0ARYLvzjk9DfCXZ31taUKwmNDtK8zO2gNFmuDPRpz0YhYJBLMRnZ6Fatlk71pi1vQNtNmS8WCENgsIE4EIpnRPOphUsFQdy1AebXACfv8WHxCw1SpTzloYqc/opMPxyZCZXqXgTOm4p/SGM+a+gGVKxzTRqgpREjGbdLhCwk6rSM7SSYMpx90hRycT3FAhPLrJB6yzVs2SL9qkccTprevcujUlzJfo9RQymomdvWterOZhaup9KvUpy/EpN0WM365TL5hYxCyHHfq9Ad2RDxkDZzyi5y7wvte8Sn0mp0O0jI5u2ehpstpnp09v6hJkPWajEZmSiWpmyd8ubiQIIoETeYw6I7rdMbOFACUkFl0OMjU0DJTUI/ZmdLsJ8zvVXnH2e4hZROnZTULCcjqmF3ksw+STNw6PmSLEp43NkiTpWfazP/fz/NaXfueer7351tv8xE/+1BMu0bPro8sf8tv/9b/c87ViqcRP/1//4AmX6AelYlgmhq5+YqGINI4Iw+hO7fRhKIqGmbHuOWI1CXz8OP3UEb3Pki//0R/yta/+f498v7LGKUmS9FzSsPIFylnjzuICt8XuguksxgkfNuEUUAxy5TJF45OvBpMBAyflEVfonzsyOCVJkp5LEc5ogPPAiaIPQyBSn3Gnw/hR7vYFIxd5lyRJkqSHIINTkl5QaZIQx/HTLsYzIU0T4uj+i98JIQjDhxhWKj3z4jgmSR7P718GpyS9oKbTKd2TY5LkKS2v8oxI05TJeEy3c3LfbeIo4sa1K8TxA1eWlZ4DSZLQ73WZjB9pO/Ydso9Tkl5Q3c4JX/vTr/JOklBvNnl6S2I/PQJwFnM+eO/bfPDB+/fdzvd9/uTLf4wQsLW9g/I4FlKQngiBYDwc8mff+DqHh4eP5RgyOCXpBRXHMTdvXOfmjetPuyjPPCEEs+mU3/nt33raRZGeA7KpVpIkSZIeggxOSZIkSXoIMjglSZIk6SHI4JQkSZKkhyCDU5IkSZIeggxOSZIkSXoIcjo4SACkAAAgAElEQVSKJL2gNF1nc2uLz731DvV649MfKv0ME0LQ65zwp1/9KpPxiDS99yM/DMPgwsVLvPb6G5RK5ef28z5rhBCcHB3x1a/8T+azGfKBWjI4JemFtba2xhd+6Itsbm2j68/3f/VCvoCqanz5j/+Q+Wx2z23Onb/AW+98nmarjaZpT7iEL7Z8voCqKvzRH/w+nuc97eI8dbKpVpJeUOVyhY3Nrec+NAEM02Tv3HlsO3PfbZqtNo1mS4bmY2CaJucvXMIwzAdv/BKQwSlJLyhN1zGMezxU8TllWRbqx5/YfBfDMF6Im4RnlWXbcinCMzI4JUmSJOkhyOCUJEmSpIcgg1OSJEmSHoLsEJCkl5KCZthU22tsVLPYpoqIQ5zJKQdHY5ZKjYtvrFMx1O++uw4mXL/eY+jEmOUa7WaFWt5GVxJCb8GgP+R06hIkoFpZKrU66/UCWVODOMCZTuj2howDFbvQ4MKlJoW7us2ESHFPrvJu1+fRznpQMTN56u0mrbKNpSkkocd0NOC4O8NLFVQjS3OjzVolS0aHOAqYj/ocdea4ieC7iqOV2LnQplm0ubsXOZj2OewMGfo6pVqVtUaZoq2jpBHL+YR+f8TAVclXW+yv27jdA66eBqDq2OU1Xt0r4h9f5Uqyzjv7JdRljw8un7JIBEp1ize2LWa3juhSZX+rSjmjoyBI4ghvMaPfHzFehGjlJlvrDRq5uwdKCQJnynA8Iy5uslP+zuVfJDHeYkLnuMupK6ebPIgMTkl6CamGSXljn9fPVbFDh7EXo2Uq7NRLFLXLfP0kR2tzjYY/4mTkESVnF9MwIhECs9xi//wG63mVyPcJUptys0i1mMG+cczBBErtDS7uVMkSsnQT1GyJzWqJUlbjw+tjYqvI2maT3HTA4Tg4K5kgTO49T/MHoWfyNLf3uLSRRw2XLAKBXayzX8mTV6/zfjemun+eN7YLKMsFMz/FKDTYrxcp6Ff59tEcP74rUFSbarPFRjZkPHZYBquHhYdxQopJpdXm/G6Tsh7jeRGJmadZLlLJm+i3poT5CuvreWaLk1VwKip6psLmVoP57CbXwhrb202M0MYbzHh/6COyZTY2cmi9LgOlSGutRTGeMZr7CCNHc7NErWBy7UaPRSZPvVWnoSwZjR289PbXF4NmU240WC9HDLtTlqjoVp71nSIFPWT+4RBfZuenksEpSS8dFcMusb7dpKKMee/KAX03RrXyrO+sU1BVtLNaYLQYcOPGiGV4duUVMUGk09xus1nRcU5OuNmb4qY6xbVNzm/U2Wgv8XVBZb1OkQVH1485WcSo2TLrO1vsrq+xNXG4Ga9qOu64y5Wrc27HZRJFj7a2qehki1U21kpYwYAPr3QYhwIrV6LVLKFrBma+zP5unZx7yNev9Jj6AiNb5cKbl9jaW6PbX9KNY5KP7Tp2p5wcdujPIwQgkojYqrLfblAzA04Pj7g1DEjNAq3NDfYbLTbdmKPoQYUWIALcOM/WboOj2Qnze2zjTXrcOpyySDM0t3c532yxsVhyFALELKcjDq51GZ8VXKQJarZMnpTQnXF8/Sa9RMXKlzn/mVdYb1UoXJbB+SAyOCXpZaPoGGaBWkHB6/Y56E8JAJwlXuCRST3CtACsgsD3A7wwAQRpCuhFKuUsRjShPxhxOnaJgaWSo1otsVYo0iIhk1XxB2NOehMmCeAmKFaRjVqFaiXHrcGqOGkS4fn+neB8xG20oJjYmRwFK2beO+VkMCMEVMdlsZhikqJUtqjbKdPrxxwPvVWzrONza7jD1naFWk7j1I/5eGVYpDFhGOD54eo9AuxyjkLBIF706XZHjFwBSgBmhmZ9g2K5QGb4vRQ8ZHDsU99cZ7s24rL28akggjQK8F2XuecSWiUa1XXyhQw5R4GzJtzA9/GS1WkVAmz77L1pTOB5uImGMNOz8gsefX3/xSODU5JeNoqCoukYWkrk+8S3/10I/MUMH8BahZdRXuPSK6WzplpBOOlza2Ki6yppEhEmyZ1aWBJFhFGKYutYloqupMRRTHinKpmSBBERKoZpoACKppNtbPHG642zC3fK4vgaNyYf61P8gT6viqZpaEpCFIZ3Pm+axHiLBZ5uU2ga6KQEXnDXcWNcL0JgYBmg6Rq6UFbhcjafUS/U2T1nUg8SBAJ/MsQxNHRVEEcxUXi2NxGTRCFBqpLRdYzvaTqkwOkd4VdfZWO7TneofcpoTkEYxkSJsvqsKqAYFGotzr2aZV0AImI5nTJZAmhYuQq7r16kJlRMO09VWdA7GbKQyflAMjgl6WUjBGkSESUq2UwGkykegKKSrdQp4TB0V1d2VTOwbQv9LB1VU0NjFZBq1sTSNTQFYgGaaWCZKiKO8P0EpbAKSEuDZQxoKpptYZDihSGCLKCg6SZZm1VNRyQEGqt1Zh9VcoqUJElIhIZpWRgsCABVN8gVS2QI8YOQkCJ2LoPC8uzQOrmsgSIigtCitrVBOWOgp0s6HQUdUFQNy7JIlBSBAFNjkSREiULeNDAtFeIUFB3dsLC0hDgKCRINoSiomrr6qIoCuoaKIEm+0yCcBhNuHk5pX1pnOxLoqnKf06JgWQamDnGUEMWrk6jqBlbm9slVSVwddbnaXlV1zEyGgp6hWs2SDm9x63hVG5c+nQxOSXrZiJg4WDCYpVyqtthd8+m5MYpVYOvcLlXnOl+7tgrOeDnm5GSOH62qIUkUkEQp0+mSsFik3a7jJ1OcVKfUrlK1Epz+jN4Qqrk6W5Uam+suzFd9nGutPEaw5GjkIigjkpjl4Jj3rs2+U3P1xaNtrRUhnusw9as0a022WzHDQGDlK6xv1LCmR7zXGzP0GrTXttiZdph4Aj1bZa9uE8/6DFwwGhkKeQs9iTG0GBSIF2MObnTpz0NSQMQhkQG5akijXGVtfUk48EnMPO1WhXzqcTqasvDBF1XylRrtCvhahlojhxG7zJ0E7qwsGDPvHHG08Tq7dRVTD+5au15BNWyyuRxJJkOrXaao+QwXLsvIoCFivMWU7tHtWmRKHAbEWh5ICNwJhx/dYmSU2L60z5ZpYZsaePEnTqH03WRwStJLJyXy55wcdKmcr7NzYY+ql4CRoZiJGfcDYmEBoGUrrK3ZxLdH1QqP/vUOw26Xo+wmG9U253NVglTDsnWS+YDj3pTTGQTmgMJOjfbeHgUvQTEMbD3k9PiEk0kIJQBBEvk4jvuJgTePjIhx52NOOgVyG2V2L1g0Q4FmWtiKT3/pESwX3Lx5Sm6nzsWLNgs/RcvkyUcjbt3oMgo8OLjF1FBBxHhhmZYAkYR4rsvCCb9TEwznnHZPKdgtaus7ZKshqWpgmTDr9znqTXBUwclphXOVNV65WCJQdbK5hNHJMSdzcVdwAsGYg8MxG2+skVPvrg8qZKtt9owKsWaTs1W8QZfO0MHNlQCNTL5Ia12jfFa4xHdY+CkKgjSJ8R2HiYgQhyXqrzU4tztm9H6PuczOTyWDU5JeQmkcMu/e4oPEY62WI2Oo4A+5eTTiqDMlVFS6B8d4usrHlycVQDQfcPN6jNuoUMlZ6IqPM1kwHIwZzjyiFMa9Yy5HHu1qgYypINwFg9mU/umYaaRh+1OOD4BJ8Oj6M+8j8R2GRzdJggatchZLg9SZcjIe0zldEKYKg1s3eC9o0ipnsXUIJ3164wHHfYcwEQg35vakGTSDQbdLJObfGXF85+QGzAZdrsU+i3qJgqWjJC7jxYz+YMLYjRHqlONrN0nbFcpZA1X49IZzBt1TRqFAc4bcuGkwCQUCwbx3zNVcTMWOGHoRMVO6xyrLjLZq6g3n9AYz+v0JYydEU+b0O32S3McXvFdIQ49Jv4eqLnDSVfg7vSOuZAV1RceQy+I8kCLkw9Uk6bn1sz/38/zWl37nnq+9+dbb/MRP/tQTLtHj9ev/z6/S63bv+dqP/8RP8tY7n3/CJXq5/Mov/xKz2fRpF+Opk/cWkiRJkvQQZHBKkiRJ0kOQwSlJL6g4igiC4MEbPic8zyNN7z/JMAxDouiBS/JI3yfPdRFCTvIEGZyS9MKaTMYcHdwiDJ//mXmB73Ptykd4nnffbXrdDv1uh1iG5yPn+x4fXf6QMJTnFuSoWkl6YfX7fb7+v79GEARUazXge1qu5pkjEJx2u3zjG/+bpePcd7tbN2+gqAqXXnmNYrHI8/p5nzVCCLqdE77+v75GEPhPuzjPBBmckvSCSuKYo8NDjg4Pn3ZRnogoirhy+TJXLl9+2kWRXnDPf3AmCYzHcHoKkwk4Dnge3G6u0XXIZKBYhEoFWq3Vn6pspZYkSZIe3vMZnGEIf/Zn8LWvwbvvwmi0CsswXAVmksDtQQSKsgpPwwDLWoVouw3vvAM/8iNw/jyfmOEtSZIkSffxfARnmoLrwvExfOlL8N//+6p2+f26eRO+8hX4pV+CCxfgr/01+LEfg1IJTPPRlVuSJEl64Tz7wXl4CH/6p/BHfwRf//qqVvmoCAFXrsC//Jfwq78KP/7jqwD97GdlgEqSJEn39OwG53QK/+k/we///io8/cc8mqvXg9/4Dfi934MvfAH+zt+Bvb3He0xJkiTpufPsBWccr/ouf+EXVk2zT1KaQr8P/+2/we/+Lvzjfwx/9a+u+kYlSZIkiWcpONMUrl+H//yfV8H1KROdH5quQz6/GhhkmqCdPTEgjlc1WcdZ9aHeLQjgF39xNQjpb/0tePVVOYhIkiRJekaCMwhWA37+/b+Hq1d/8P1pGuzuwiuvwP4+rK+vpqNks58MTs+DxWI1neXKFfjmN+HgYDUyN4pWNc+PPoK/8TfgL/9lWfuUnhu6rrO9u8sXfuiLNJsteeP3VAjmsxnffvdbvPftdwnvswSioqqUyxV+9Mf+HFs7uyjyu3rmCCE4OrjFl//4D5+R4PzlX4bf/M1VgP4g1tbgL/0l+KmfWs3X1PVVSH4vczaFWAVpHMOHH8Kv/zr8yZ+sAvTwcFX77Pfh7/5dGZ7Sc2F9Y5P/44v/J2vrG6hy3vJTU29YfO6tt0mThG/+2TfuuU02k+VHf+zPsX/+Apr28WdoSs+K/fMXgKdZ40zTVR/mv/7X8OUvf3/7UFWo1eDSJfgrfwW++MVVrfL7oSiruZ6GAW+/DW+9Be+/D//u3636XGcz+LVfg/kc/t7fg2r1+zuOJD0hpXKZ9tq6DM2nTFEUypUqrfbafbcxTIPd/XMyNJ9xmqaxu3/uKQWnEPCtb8G//berP78f2eyqZvkX/sIq6Azj0ZZRUeD11+Ff/IvVnM//8B/gG99YjfSdTuEf/SPY2Hi0x5SkR0hVVXkhfkaoqoqm3/9yqygKxqO+hkmPhWEYTyk4P/gA/vk/h5OTVYg+rLffhp/5mVU/ZibzyIv3XTIZ+PN/Hl57DX7lV+C3fxv+4A9WwfpP/6mseUqSJL1knmxwJslq8M0/+SerkawPq1pdrfLzN/8m5HKPvnyfpt2Gf/bPVoOM/uN/XA0aqlZXNU/bfrJlkSRJkp6aJxecSQJf/epqfubDhqairFbz+dt/G374h1eDfp4G04R/+A9X/aq/9murZltVhb//91fTXSTpuaGgmVkam1vsNvNkLQ0R+cyGHa7dGLCIQWhZ2tsbbDVLFCwVEQfMhj0OjkZMvYTM2i4Xt+pUs3f1oSYu/cMTbh4vEKUamxtNWiUbQ0nwnBmn3S5H/QC1UOP8K+sU5kf8r8tDIlQ0s8prn9+nMb3Bly8v2X7zdXaKCeOrH3K57xOkNluvXmBDGXDlKKa6u8Z6JYOpgEhiguWCfrdPZzjHNStsbW9yvpX5rocOp77DsNPl1rLAq6+3KdwevCoEcbBk3D3m8sGMEFCzFfb21lkr57B0iH2HQeeEW70Fnihz/jNbrJdtjLsGwAajDtcOunTn8SP/vjK1dfa36tQLFgYJvjPl5KhDZ+IRJCrZaoPN9SbNUgZTSQncGf1uj86pQ1Kos72zRiUacv1Kh9Gd4qlYuTL7r+5R8zt8/f0u3j0aAdXyNu98pkVRcbjx7nWOFyGRUChsnufVzTJF++wspymRt6B30uF4MGcZqViFMmsbbdarOWwNIm/B6LTPYWfCUs1SWt/lrd0CdzoVREK4nNM7POLK6XemJea3X+Xt7QK61+Wb73eZqjVefXWdZt5E+65ByAmzkwOun8yJc3U21+s0ChYaMd5iQrfTpzMMMMoN9i/u0LrdaCkEaeQzHfa5cbPP9FMePfrkEuj6dfg3/wY6nYd7n6bBX/yLq3Da2no8ZXsYqgp//a+vBjf9yq+sap+mCT/907LmKT03VNOmtnOBN/dLqM6Y3iRCs0usnbtEUU34yhWH0rmLvLFbQHGmjKcRSrZEc/ccRUvl29eHJHaOciWL4Uw4nSzxU0CEzJcxZqXJxrktNnMpzmzBJDXIFZucL2SwtUMOPJtipUxV9O8Em6KaFKsVGqmJgk+uVKFRUyglU7qTQ4a+SrZYosoC04jIF4uU7ZDh6QwnMSmV65y7mCFjHHBjYZItFClYCZPTAaOzNBCRz2KZoJlZyuU85qTPwShAUQ1y1Tr7lyyS5Td5f1rg4uuvcqECi9GUyULBrtbYu5Qlo37EhwOTfKlE2fI4PZ0x9xMAouUSL0of/fdV2uD1z+zSMgMm4wVOalCsrnExpyM+PGQoquxf2GQ9m+IuHGaJQb7Y4HzewtaOOAks8qUi1XDJ8XeFjIKmmxTLZWrumHv3iCsUW2026hWyep6ofsypFxFFCnomR6WaRQxP6U19YrNAs1lnfychDAJOogLb+7vs13QiZ8HMVbHzFXbOZ8mZCu8fR5jZApVilkX3mP7/z96bR0ly1Xe+n9hy3yozq7L2pat6UUutvSWBWMYSeCwYezC2MJ6xLQ9e3pPF2BjreNhsFi8PsA3GwNN4GPHA8AYbnrHAZjkHI2yMxlgbagn13l17Vlbue8Z+3x9RvVe1qlvV3RKKzzl9pMy4EXHjRlZ843fvb+lKyGqIVG6YnTGJTv0QyyYgRRgcGSTXH0K1BYPzJdrtHvVqFbcbJJUbYjDqUC9WqbZ7NJsWgcwQU+PD9GsmrWaLNkHi6SF2REME5SVWRZBEMk7MqbJYaGHLKqFYHyNTEYJWh3+bbbPRnbw8wtnrwQc+AEePXth+iuI5AN1/vzdF+kIhGIQ3v9nzCv67v/NCaYaH4Y1v9MuV+bwIUAiEkoyM9hE1izyxf46y4SJrYerjIyRNFymcZdtEhkhvkaeOrFDp2KDFmNi9k22Dg+SKbSoSgE27UmJxoULTARA4UoTBySxDcUFjeYGDiw0MoZEYGGJmZpDh4S6N2c1ZZFZbR0oNMTlQopU/1xRyek1W83lWWi7h7Cg7t/WTy/VRd01AYPealPJLzNbXHoFC4AiNaBaEY9GtrnLsWBNXCRDpBBm4Nk2uL8SRwBjTQ1GMuWfYP9ekY4Ea77Hn2nGGRvrJtyxkwO41KOTzFBomAhCug+1stXBKZEZGGEpCaf8cR4pteq5COJNjOGZhuSGyQwMMJqCxuMyx5RpdVyGaG2XHZJahXIde6XlYwHKM4YEYcrtKOZQi0Z8iWOjRPfGCICxa5TJL+Tp6OEcwkSCmaahqiGQ8y3AmgFnJc+h4kaYjEerrZ3LbGIODA5TreToIXFunUVjkSEkga2EyapKXj2XIRiXypkBEMgymVLrlKko6xkAmxEKrRXFZpywHGAmlyWg21dVVZostdDnG+PYM/SGD8sICx1bamARID48yM5FmaLCLXgRcG71VZfb4Cj1JI5JyiN44Rn86hnJFhbPV8qZn9++/sP1CIS/E5Dd+44U5DRoIeGu16TR84xvw2c/CLbfA+PiV7pmPz/mRFNRAjFQUukslVmodvNIJOsYxg4BrYCdHSEckOkurlOptupYADPKVDmOpCMmoRlsFELiug21bmA4ggGiQcCyMarWolivU2hYCHbsapNwdYHssTiq0uepGol1kWcsxOJZjuVY5xyISroNlmfS6Br1ijWp/H32xCLGIQCAQwsWxLMy1h7xwBUL2jiIQOLaFblpImoIcUJER2LZLLN1HTOlyaLlCtWlhC0AvsNocJZtKEA80UCXAdXEcG9O2EN5BEVuum0H6UhECZpXVUpN628AW0DUsugFw3ATT8RCa1aRcrVNp9XAAvVyn2p9hIhoh1ulc9OnlxACDCYXOwiLzkRC7khkyoRLt3lrBDSlE/+QUwZyFo4SIh20aK3XqXZlINkJI0inWqhSbXWygJwJE0zmGcjFScZUOrN0nG8N0UeQQAVUBV8ey135SAwNkNJ3CwjIEdjDQ30dkuUO3bWIhYTkCV7hYloWum1iJMJFoCKlXpFqpUW/bCHTcaoPMYJrhaJREsAMIhONgGSamIhFWFDRJYNsO53NbvbTC6Tjw5S97idMvhGDQcwB6y1te2MkGwmFvivZlL/PWOx95xBdOnxc+koQkK6iywDZNnJMbBGbXE1Elo6IAtmkhTnq+u5iWjSskVEVeS0QUJDs+xbXpIUwBWB2KLZmQrIDj4tj22gNI4LgOpiWQQzLaJp88ktNmIa/RtyPHWH8PQ5Ngg7UnYds4jouryMiyjItMKJFlaneQrOUpmtFukF8s0QNkNUTf6Ay3Ji0kWSUUDdErLjJbctBSChIGhu6eeoC6JqbtCa8iSUiAlhxkx+4EY6aDQNAr51nIV05ODW8NCpoiIzkWpiNOBiII26BrA5oX7iJcG9t1T1pJrrNm/coyiiKdVwg2RiI52E9S6TJfrFMINpjMpBhIBVlpnahU5WLqPdotA0u2QI4RjMdJxiQURUbCwnacU/1yXU+YZBlFkQEJNRhjaMc1BCdAVjRiMYvVhSWWuwKkMINDSTSjRKFSwU52GRxOkw0XaHQtjHVeVCRFRpFlhOWcJoICx7WxbIGsyCgyoASI9Y9yw940jqSghcLIzRLHlhun/V2cy6UVzgMH4G//1ktdt1lk2cv+c889L2zRPIEsw3XXwZ49V7onPj6bQ7i4tolhy8SjEYJSna4AJJlY/xAZGhR0HUPIhOIRFFkHXEAlGg6iSi6G6eJoAALbstB1A0MAtompS6iWDbEAwXAQqaYjkNHUANGQgmNZ9AyHoJCQFBVNAgMJFA1NBsc5/ZHl0iktszCwm+nhDJ2ghrLB40QJBQkGNSS7hWXZyIBwXSzDoGcIQGCZFqdmUgWubaIbLuG+DJmIycKRPIWuS6hr4BIintCQuw6OANQo0ZCMbBvojktMAI69dnzv4axbDs7FhNid935ZdA0HNxYiGpRQuuAIUCIpBhIKZhcc24FoiHBAQ5N0TAFqMEAoqMCaxX1RUaJyjKFcjIDikN22g6CcIBIIE+pPEFrteWIoTBqrq8ytNOig0Te+javG+uhPmjQdG1cOEAoGCUgddAGKqhAKa8iOjm44EPDS2dmmiWFrpPr6SEhF9s2Xven/aIaRPg1FTjC5eztuLEQgFCGXDrHY1NdNOCdM75qlYJBgMICEgUAmoAUIB2Rs3cawICoErmuhmw5yNM5AQqFxfIXFqnmFLE7T9JIGXGiFk9tv9xyBLjYD0JXCX9v0ebEgHCyjyWrNIZseZse4Rb5lIYVTjE+PkWoeoXywzEp9mJmBMbY1ZQoNEynUx+RAFLlbpNLWMZIAFs3SKnMLFZouIFxsV6NPi9LN9JEbGaHtVuk4AVK5QXIhh1a+TLFrofQEw/EMk8NtVnSF+EA/KcWiWuvgwqkHl9lkcbHE0NUDJMMqymn1GGQ1QCQWo0+Kk8wNMBiHXqlNo+2QyoBt9GjUKqy212wOx8SUFE9UbZN2eYXDsz1CGYfQNYPE+hKElrp0i6uUZmbITY0zQZm6LhFKDzGSkOgWajQN6APsbp2lhTyFpvegdW0La6sdarEoF2t0+1OMTgxhaA3arkZyaISJuMnS0WUatRa9ZIqh4RyG0GjaKsnBfvrDDq1Ci1pHYgDJG694nD4Xb73XPmFRe9uSyThr70O4jkFHGWA4KdOrrFLTbRy3ympAYyiVpi9UpSmt7btmPaqSSkBVUGQJSRg0my3i/UNkBgeZ1CUqhkQkM8BISkFv1ik1HYgLXKtHLT/HwXqAvl6Am6YiZJIhlLpNYCBHJmBSXW7QMW3caoVqIEc8myKab9NZTzj1FvVGm6GxFEOjQxhSgx5hskP9pDWT5kqduhUk7dr0mmWOHS4jEv1IgXHS8QTxQJnueSpZXjrh/O53vVqaF8J118E73uGFe7ykMeGrnwLjlXD3tS+cYz71EPwrcM8bYMvfa2bhU1+H3W+G21/q9/9S42LpTVbmFkhODzK4bYo+0wVZIyi1WCl3sIwe80cWiEwPMDg2SWbIBUVDdeosLBRYbZmoCQCBY5roPZ3uSUPRpl5aZSGiMZEdYPv2Piwhoyigl/PMLVaodxWkxVWy2zKMbZ8ma0moQY1OfoFDK11cETmjv51SnoV6hj1R6Yx3VDWWZmIqTM6WCGgydr3IfL5C3UyQArRInIGRUaInrFRbp1GpUeidWuPsdTr07DzHsmluHB5ne7HOU4UCB49E2TWaYWomieUIVE3DrRY4vlilZSQ9ZyDHwtB1ut3zWyjPD0G7sMCRuMJEdpBt0SwOMgFNwqhWaPW61NorzAUVJrIZprb3YbsSiiIwKgXm81WaSoYBVCLJLFNXhRkW3n3qNeusLJsgKwQS/ezcHcUGLzSjvcJhs5+U3GPx+ByHahaWKxEa0ojvTNCfCmKoEkhB0qNj7ErnsCWVUDiI26hQrNUptdq4wQDqcJLxmSiDDsiKhNsqMTtfpGbIpPDWOG1Tp9MysJYWWei/iqnpCcbqc0hDKYJGhWeOzrGiW7io9Etxrh9Ik4kUqXfWeVNxelQKBRaDw4z0DbIjlsVGRpFc2oU8sysNeqEBQOA6Nnq3g24J5pZTpKeH2DFeo364xkbZ0y+NcLbb8KEPXVjS9sFBeNe7vETtV5L8Q/CH34DAtfC++6UC9bQAACAASURBVCC1TptDn4OPPQb3/gVckhlaA771IJRDWyicLfjmg9BMXPwx9z0Enw7Cmy6BcDqz8NkH4adf6QvnZUA4Fu3iMgftHv3JMEFVBtuk266zWmxhCjBXFzlod8gkwoQ0CWFbdFsNSrUOPdMlWFvl+JE6dn0tFOUkLka7zvKsTa+RIBHWUCUXU+9SrzWoNk0cJGr5eZ61WqRjGqoEjqnTrFZY6bgITIqzR7HsJqbjgtMif3wWuR5C1Wu0uy4r8/PolYD3EBMutqHTqNWptXoYqkxpaZ6DrcAZcZw4Ft1uj27b4tihDk5Vx0UgrDb548cIdcLYlkC4PQpzx3E6faSiQTTJxTENmvUa5aaOiczK3Bwt0ToZinJJ75deY/64oFtPEA9rKJKLrXeoVerUuyaWW2d5zqHXiJOMBFAkF0vv0qg3qbV0CDVZmZvDip4R1YrR7dHVeywePUrn9JUxIRC6iWUUOLDfYLXYoW1666f6yiIHpQRy06AprXDEbBA5EcwqoFo2aNfrVBo9dAuKS4sYnSZ9sSCaLHDMHs1Gk2q9iykHaBeXOGBItNreOrTVLnPs0DH0JJiui1OY45mVGvlGh54jEBiszs9yoKXQ6Vk4ODQKSxxuOTRaxtrapIveqLAwa9KuxYmHVGQczF6HWr1JvWV7L4HH5tD0JqYQOJZOeWmOZ50UgdPXttdh64XTdeELX4BKZfP7RCLwX/6LVwLsStNahsceA+cx+MR18J5XnNumNgvffxTuvvzd8/HZKlzHpFkq0Cxt1MCkUSrQ2GC7Xi8xV99gX+FgdBqsdBqsrN8Ax+xQWu6w/uFNivPHKZ72Ta+S58hpj5X2YpPVDU6P06aSb1M5T9h4q3XaB9fBrBc4ePr1mB2Ky50z+nCKDoWFi/dUvRisTp18Z6MBdzE7DQqdBoX1NnebFBaa628DON5m/aGqUjvrBopelflj1bVPHerrD9Cpfuttyittyut226RbznP4tI3CtWkWFmie6Gzz2Dn9NqorHKme+mwVl2mefWxh02vWWG6u78HtdBoszjZOa+9gdWrMHX1uj++tX5hbWrpwL9pXvAJe+9pTdTJfCMQD8JUPwWPmc7f18fHx8XnJsLUWpxBeWr2Fhc3vE4nAvfdCar050SvIW94LX343/Mkn4fO/DYEL2Hf/w/D9A1AzITsFr74TJuPrtzUr8PC34egyBEfg9jth93OcrHIQHn4E8k2Ij8Btd8Lu5zm9ufgYPPI0rK4dc++dsOc8x+wuwz8+DAtr7c93jbTg+9+GZ5ahC0zdAq/Zu/np3tOvN5CAXbfDq3axQZoTHx8fn0vK1gpno+E5BW12bVNR4O1vh4mJLe3GlhC5BX7nDfC2v4EH74J7dz33PuYs/MH98LVZiGcgE4LiMnzso/Cf/wh+56xp36NfhLd9BPIm5KYgUIb/8Um4570bnQD+3/vh49+D+BSMxaH4EHziI3D3H8M777jw63SW4c/eDV96GiIjMByH8t/AJz4Jb/1LeMs6133ki/CHH4FuP6R0WKx41/hrH4d7z1o/XX0Y3vZ+OArMTEGgBV94ED6+Fz7xcdj5HC8J3/8o3P85CE/BtizUjsOnPgl7fgUeuO8SOCn5+Pj4nJ+tFc75ea/6yWa5+WYvZvOFyqvug9f+C3z2A/Da/wUz52tswgP3wzeb8Dufgf+8JiBmBR74Hfjs/TDyt/DmtRqezkF41wehuxc+/cdw/Zp1N/cN+N33wyznnu+RD8KfPwq/8Jfw1r1rFpcJn/2v8LH3w7V74fUbWX0bcPQh+GoF3vYZePO1a8dswfv+E3z6f8LdfwqnH9LZB79Xhrd9AV4/5X1Xfxp+73fgU++Gm/8W9q6JoTML73wX1F8BX/hjmFn7fvVhuPd++L1PwRfuO4/luAwPfA4m74NP/8opq/+xB+E7w/AiCPO9klimid7rEbrUpfd8npMT92IjXNel3W4Ri13g36/PZafdam3xGuc3vwnd7nO3Ay/37N13b30B6i0lA2+/D4IH4Y8/x3lTSbS+B1+ehTvefko0AQIZ+K0/8rxvP//FU8f4/hfhaADuPU00ASbvgj940zonqMBffR2Gf+400QQIwC/8Noy14Fvfu/BL3Plr8IXPeH0+ecw4bM+AkYdzfLxM+A9/dEo0AVJrHsiRZfj/TuvDk38DTwH3vvOUaALk7oBffgXMPgyHztM3pwJ1YGTqzKnyvb8Cv3uXP1X7HFQqFWaPH0PXzxOQ5nPJsSyTlZU8iwvzG7YxDYMDz/6QTuciyi36XDY6nTYHnv3hFlqclgVf+9rm2193nVeQWpKeu+2VJPcGuPcb8OFPwpfuOGUxns3BR6EVgNvX8cJlBF69DR54DBaBSeDpfaDsWj/0YuZOGHvwzO/MffCsCbfvgvLZahaEEWD1AivPABCAsbU+OC04ug8e+QZ89mlgF5wTIjUCd6wzfZt5JVwLHNwHzh2eqD31GCjbYApYPavPqWHgUVg2N17TVXbBbSPw5Y/CJ5rwE6+EGT9UZbOUS0V+8OTjdLsdUqk0vMD/1H5U6XTazB47xuzs8Q3b6LrOk088jm3Z9OdySC/05+JLECEExdUCT+97aguF8zvf2XydzWAQ7rzzXIcg04TZWS+URQjo6/Nyv17pJO93vwP+4efhgQ/Bq/5i/TaVMhCEgQ2mWrJZcA54FhRApQnKFGTXaav0wyBwuld0rQwG8K13w7c26OeM7lm0F2qJff9z8FcPwZOzYALD18INU/DIen3LwMB6B8lAKgDPnubjv9r0rMZ7XrvBiQPnt+IJwG/9BTjvh89/AD4NpKbgtjvgnl+Cnf601vlwHIf88jL55eUr3RWf50AIQavZ5JHvffdKd8VnE2ydcH7zm5tvOzwMr371md8VCvBXfwX/9m9QKnnCmU57OWB//udh9+4rZ50qU/CuX4R7HoQ/+wa8cb02a//dKHrFNoDQqXYn1icN1vfYPVtQTtypn/oj+IUNHJUi2QsXzUc+AG97CPb+Inz4j+DqbZAJwLfuh0c2sGDXvUbzXNFWAGUvfPodsNEy2/hzOAdFpuA9n4HfrcBjj8Lj34N/eBC++xh85jPPse7s4+Pjs/VsjXCWSl5C983yMz8DyeSpz6ur8Ad/4Imme1oKkk7Hiwv9wQ/gIx+BnTu3pLsXxe5fg7u/CX/9EQiuk6hhfAqUh2FxGW/e9Cxm8xAYhuG1z8MjnkfrIrD7rLbmcTjOmdZoathz0mnheaduCSZ87esQvwv+9LfP9FA9Izr8NJxZmDVh7GzBW4YF07uuE+I5PgKUvReP5ytwgQzcfpf374274O6PwjcPwls34e3s4+Pjs4VsjXPQwYObdwpKpeCnfurU58VFeO974V//9UzRPIEQsLICv/RL8J73eOe6IgTg3v8GwxX45mPnbp55pSeKX3noXIus/jD84zJcdyecWKK7bS8wC19Z51jf/Ny5TjnKdXBbHP7tIU9sz6AFH3s3fOt8U3InhO6szhlAJH6Wh2oFvrNvg+O04EtfP/frpx7yQk5uu/3Ud7e+EpiFL6/jtHT0i/C+L3ovAhtSgU89yDnpYTJZ75XP8JNT+Pj4XH42tjhPlMbZzPTo4cOwWc+917721Jrl00/Dhz+8uSLXlgVPPAGvf/3mznMpiL8Cfusu+G/fOHebci287Q3wuw/C/9mCX34d5AKw8JgX1lHbBR9+w6n2O98MdzwEX7ofuA/uutaLcfznv4GvlmHsnJPDr9/nhaTc+5vwljfB1Vno5eGh/wlfK8H73n6ezgchE4dnH4VHbveswbE43LgLvvNt+OydcPd10DoIn/8ILI8Ay/D40xDf5V0LABlY+Ci8bRnufqVnFT/9dfgfX4TUXfDzp1mAM2+C//iQl0jC/lV4/V5ImHDoX+CBByH1K6cJdtbLC/z4t+GZAAzvAuPb8NlPwlf2ede7KwudPPz1/w3djOco5ePj43OZ2Vg4n3gCPv956O+Hq6+GW2/1ErGfLaS67sVvbqbmpqZ5wgne1O4HP7h5CzIahfe/3/PEvZK89u3wte/Bd9dJ8vBjvw9/loE//yK87Yunvt99F/z3d8Ce06c3M/Dej0P4A/DlD8KXAAKw53Xw578Nn/hJzknuOPkmeCAAH/ok/OFvnnaoXfDOj8Prz+dxGoBf+FV45KPwX/8TvOr34c/fAHe/F569Hz7xf8An1tq96j749CvgXb8OH/5lmP1LeOde7zDKNviz++BT74e3Pbi2FhuA698A73rHKYsagDi8879D5kPw1x+Fr57Wl9t/Bd5z3ylDWLkWfv0O+IPPwT2fg9/6e7jnTfAA8KefOvN6U7vgnX8Ct11IOicfHx+frUESYoOqq/k8/P7vw5NPep+DQbjrLq9W5sBpbpWFgtfu8cef+2xXXQV/8iee9+x73rM5S1OSvPN98INeCMuLhdVZz4M2O+I525yPbsVLJ9e3ibYnqC/Dagsi/afCSTaDWfHS5GWnzqz8Ul+GVfPc/nZNiGzQp1bF85zdTL8d01v/NYDhqTOTKpx9XWU8izhw1vcXc70/4rz/A/8XX/nqxmFgiqKgBQLIfr1Yr1iyZWPbFhs99gAkSSIQCKKofqDwZUMIbNvBsszz3psXChtbnIODXmafffvAcbw0eg895OWhfd/7YHTUa9dsQvE50uOfYNcuT5A/8pHNW5qDg3D//Z537YuJ3BTkNtk2krnw+MTUyPolz56LwAbn2uh4G4kmeGkF45vstxKAyU04NW3Uj4u93pcwgUCAbdMz3HLby+gf8GMD2+0W+3/4DI8/9ijdzvqVTSRJIpnq487XvJaJqW3+C8dlwtB1Dh86yCPf+y7tjRwTX0Bs/KuQZXjd6+DsdF379nllw06kj2o2obxuwZhzaTTgYx/bvGjKMvzGb3jVU/wfsI/PBTEyOsatt72cgdzgS140AWKxONfsuY4bb7xpwzaqqnLna17L1PSML5qXkWAoxM6rdvPy2195pbuyKc7/yxgfh5/7uTPXNR0Hvv71U1O4xeLmPWoffhiefXZzbVUVfvM3PWegF3RaPh+fFyaJRJLswLrZKl6yRKJRckMbZP8CZFlhctv0ZeyRzwkCgQBj4y/Agh/r8NyvVPfcc26B6UYDPvUpqNc9x6CtRtO8WM9f/MWtP7aPz0sFCd/SXIfnGhJ/zK4cL5axf27hjMXgLW+BUOjM7595Bj76US9F3lYiSbB3ryfYL5JB9PHx8fF56bC5SfyXv9z7dzpCwN//PfzTP21tj1Ip+LVf85yCfHx8fHx8XmBsTjiTSfjZnz0zDOUE9jnlMy4eTYNf/dUXV9iJj4+Pj89Lis3nqr35Zm/d8YEHLl1vXvc67xw+Pj6XGAk1ECU3OcnMYIJISAFTp1Za4MChVZo2CCXK8LYJpgZTJEMyrq1TLy5zbLZMtWsTGZ3h6skBEvoKB44ts1QzieTG2DGaRLJMTDnOZC5y5mmFSbtS4Nl9y3Rig+y5cZI+0WZh3z72V12QJJTBq7hjT5L6s4/ztLON267KEjFXeOqpRYodC9E/xc3bE+gLsxwrWkSHRpkczZCOaCiuRbu2ytz8CssV/dyqeFswbuHMMNMTOQb7IgQlB6NdZ2l+icVSm44tEe7rZ2xsiNFMlKAiMDsNVvN55pZrdNQEA+PbuGFMo1WY56n9RTpqiPjoDLdNyMwd6jC0Z4TEOatUJvkDK2hTQ/SFAicf3K6t0yzlOTJbpCL3s2v7ICl9hWNll9jgKDO5yFrqaIFjGTTLBebnVigRZ2LHNMOU2P/kHEUX1GCEiT03MBMo8oODDrtuHl23HyvPPs3BRoCB0RHGBlLEAhKO0aG8sszx5Sr1rkz/1BTbJ3P0nYhmcx3MbpOV5WXmlqq0tv7GXFY2L5yq6q07Pv44PLZOftXny8yMZ20G/GwwPj6XGiUQIrttFzdsi2HXSiyVDJRohtHJq7hVcvju/iapnVdx/UQUu1ZiuWwix9IMjs1wnaaw70gRSwsSiUXJpHOMNJo0WxWEqhGKhKDeYrXQwmxHiaczjAwEMUoF5ssd9G6brqwRzgww3BcjaKu4gwkOVuu4SKCGiMeiGJqEJAeJxaMklFG25So0F5v0lCCRaBhJU4gN9LNtsp+oXmPpeAcnmmF4YJhtjo3RXaLQ29pgejk5wjW7JxkMGVTLJUqWSiKbYdsuFZhj2YgzsX2c8ZigXS9TMVViqSQT20OEtVmezQvUUJh4Kk4Yk4lClQMtCTkYJh4VKMYCc8dswrJGdno740qZw0dLtG2bRlthJhIhZFZZKLToWoJQqp+RoQl2WAYHmhqhSISopKJpLsFwGM3uUMgXKZsaiXSaocERJm2D7oogGIkQE4GTNRkkWSYQjhIPakh6kbljDiFJ9fqhVjh6rEzLsmh0w4zvnGEqo6LXauTLDloqTW7bDBHtGPvnmmiBENEAGI0yK9UuQovSl+ljfFIGU+fZfJd1MpO/aLiw6iiBgJfx561v9ZKzbxWRiBf2MjS0dcf08fFZH0khEE4xOpJA6+R54pk5apaLpBaptkfo61kQGWB6PIXWPM5ThwrUujYoFbrX7GZHLkeu0KQsAYZOTw2TzqbJVjsnaxMIs0ejXKFUizJAmGwaOvUScwtNHCGQgwky2SiKXqXQiZDuz5KW65TX0zmh0+pp9I8Nkq7orJ60giSC4TDhoIJTbVEqFKmJGoVlFdnq0TK2OgONRGYoR39cUD48x5GVJm1HIlDKMpiQ6Joa6f4sg3Fo5Bc5OFeh40qEM4PMTI/RP9DPQLOEJRxsx8KSYgyPD7B44EThXYFrNMkvdFDkMOrodsa0LiuLK1QsB1sZZMoFp1snv7xKrWsjJSEcGyMVjxDqnZ3pyMXWW1SLBRY7QTKESfcFURUJifOMjRAIs0V+oYtMCHVkhrFgj8LyCmXdRuqf4epsBLt4hIOzFapdFzncYsfuKUZz/WQqFgaAY9ColJmfr2HKEXK2ylUTYRKxEDIvbuG88Ajf4WHPy/b0smDPlxtvhB/7MT/JgY/PZUFB0WIkwoJurUK5raMbJr1Oi/zsLIdX2tixFKmgoF0pUW/36BkmvW6DQq2DKYdIRDUCKiC6lCttjECSgf4EiRMTRkLgOjamZWM7AiEEruNgWjaWI6OFkgwkZbqlIkeKXYhlGEpt5EVvU1kqo4cyjOWihAMn2gk6jSaNHsRHprjuht3cMJOjPyxhWxbmVj+ZpSCJeJiA3aFa69DsGui6TrO8yvxCgWJbIhgJobld6vUm9RPb6y1qLQs5FCYeVQCB1etRLXVR04NMZE8OGkK42JaNaTm4AsDFtm0sy8bxvkC4DpZtYzkCLRggqHrX65xTXUomnB5m1/U38urb9nDDtj4CvTorxQbPWZJDuN4YnjzvqX4FYzHCqkG91KTR7KEbBt1GhUpDx9YiREMBNGntelwXx3ZwFRktqKHiYFn2+WT7RcGF1+NUFPjxH/cqm/zd3z3/HkiSJ8Tp9PM/lo+Pz3MjSUiyjCILHNs67c1fYBveuqCiKMjIOJZzWu5QF9t2EEJCkaW1aDGXbrlKK5Ymm86Q7ckocN61RUkLEEr3kVQMioUSta5Kc3qMocEEz9bWT7dm1FZYiEwzOThAtuQ9mHuA1Vjl8AGTRn8fmWSUWDZHZiBLJj/PkdkC5S2dqpVRZBnJdbBdcbKAFI6F4eA9TWUJhIsjnJPi4LoC23ERsoyieMaBY/ZoVCroyQlGxvpp1jffi2D/JDfdPITtghoMoupl5gpNmnb2nErAtt6hWipTNWRC0TjpRIyB/jSt4iaKcqyLhKLISLjYtntqDISN7QpcyfttyACBBCPTO0iOWAhZQ1MFrWKexVLnRW1twsXW4wyHvaw+E88zy4MkeVO011///I7j4+OzeYSLaxvolkw4FiO0ZsBJkkJieIKZ4Thar4cuJMKJGMrJmSCNWDSEKjnohoPjeN+6RpN8qU5HiZHpSxI/7+u4hBYIks4miYYiDE7v4tbdORKqSnwgS2qDvOrC7rC8UKatpRlNRwhrEgIFLaChOl2Ky4vsP3CEfQfyrHYVkpk++mJbnHFMmHQNG0cLEQ0qqGvDokRTDA8PkEvICNtGqCEiwSAnDGM1qBEOa0i2SU9fe6UQDnq7zvJKBzk1xGRK2bSYuEabWrVG1VAJhlSMRo1yU0d3zn5JEFjdJqWVZWbnFjkyX6TQVUimU2QiIFxvXVNVAWQkKUBIE+Da2Bu+bwi6PQNbBIjGA6jq2kUqESIhDc016Vk2pgBci267RamuY0oqQcmgXatS6TgvQYvzBMmkV+nk7W+HpaWLO8bYmBez6ePjc/kQNqbeYKVq058ZYfe0zVLDRAqnmZwZIVEzWNlfYrk6zM7cBDs7CvmaiRxJM5mLIrdXKLUN9LWk+wKbTqVMMZMkOZoi7jrUNjq3pBEMJ+lPyOjVVeZKPYSk0rD7mc5kGU3N0Vh3Rxejmmehmmb3YIxwwEBCJpEbIZcNYVZLrFTaWAjPol6bKtxaHKrFGu2BAYYmRzC0KnVTJTk4yFjCYXV2iXKtSSudY2BkGN3VqBoK8YFBRuLQKdcpt1xCfV7fXKtHs1ygMJJhJqvhuJsrzG53aiwtFmmKLpI2RS6RJBGu0VznciVZRdMCBIMQigSJhBQkSWAZFnrHRBnqY2Qyh1lzCaeHyEUcessNOhuquMAolyh1+hgaGWPKCVBsOWjJAcYyQexGiUZbhyhra5xFZhe7xDoO8kSSeDJOPNCisk5VxhcTFy+c4HnC3nsvfOhDXrL3C0GW4ad/2kt44OPjcxkR2EabwvFZ4vIIufEpUq4AJGSzwny+iWkazB+aJTQzRHZkkvSwC5KM0MscmytQbBkETnNzcI0WxWKdbDpJKrZxxi9JCxDu6yMpdykuznFk2UTIKqGURH9mhKFcggMbPUrsLoWlEqOZKLGwhIRDt92hm06QG5kgM+TgIiPTpbhSodzc6pgHQa+8yOFZmamhPsan+xhFQpUcOpUK1VaHmmExqylMDacYm04wIgAcepU8CwtlGlaYkznYhIPRabK0VGFsT47A5nQT4TiYpkm3W2RuKUVqpo/x4Qbt2tmPc4lQMsvkzgg5GxRVRREdCvkS+WoH4eRZiowyMD5NYtgFWcIpL3F4rsb5uuJ2yxw7GkaeyJAbnyLnCpDBbhY5vlCi0rZI5/CmrC0bo9emt1okGo8wkx1kvN6mtdA87zle6Dw/4QS44w5vvfNLX4JzFqfPw9gY3HKLn1bPx+cKIByLTqXAEbtHORYkoMoIx8LotCjXulgCrHKew3aHYixIUJUQjo3eaVNtdjEsgV1e5qCuYLS6WK6DUSlwdH+XcsilXW9503UYNMrL7LdUrGYP4UK7vMSzPUG73EE3BGBhOUs8va9NsGfg9hb4wQ9W0Ss2lljimac1uk0TSwicWoGDz/ZYDgk65TY1vUXX6FGNhQiqMggHS+/RaLZpb7lXLQizTWFxHr0ZIxpSUSSBa+q0mi2aXRPLNSkuL6K3asTDGqoksE2ddrtDs61jy4L68hw/rNjUTXAdg3p+liftMgFXp2KC5yRksHLoh5hKi5bterazXef4swdZNpt0DBchXBqFRfabVUJOh06vzfyRDgW7Tb0naJsOvYLKSVcq4WLrXRrNFi3DQaoWOHywRzEWICCDa5t02y0qdes0W91i9ch+HlM7NK21frgm9cISh3oNEtEQARmEbdJtt6m3dXRbor66xP62gtHqYAuB022Qn51Fr6hYbetFv8b5/IUzGPTiOw8dgqee2tw+kuTV15ycfN6n9/HxuTiEa9GulWlvNK8qzr/dbNXIn+7LY3aornaonnEMm16rytJp7brVIvNnNsI126wstE+0YPbE/1Ll5NcAdpfySpfTCxlatQqtDeeGtx5bb1PW26xfTFF4Djn6WeNwAtegUy1xqhqog9VtsDR31gS1sKmvLHKGz5DbYXXpzDqirt5kNX/KRG81TztOe4M+nDyFQbNSpFk5TyNs6oUlzvZdErZBo2LQ2GDfTr1C5/SdXItOo0Jn/Xn4Fx1bE/8xOAjveAdMbaJQMXhi+/KXn1vr08fHx8fH5wXO1gVO7tjhOQvNzDx322QSXvWqLTu1j4+Pj4/P5WJrMw5s2wZ/+qfwkz8JuZwX87keP/MzXrYgHx8fHx+fNcSLJFDl+a9xns34OLz73V69zqefhgMHvGLXlQr0ejA9DW9845af1sfH50xMw6Db6RCJRq90V14wWJZFu93ecLsQgnqtRqqv7zL2ygfAcRxajQuMzrhCbL1wgpfT9qab4NprvTCVdht0HRwHEgk/S5CPz2WgXCpx9MhhZnbsIBLxxdOyTFbyeY4dObxhG8ex2ffUk1x/400kEkkk3+v/suA4NuVSif3PPnOlu7IpLo1wnkDTIJPx/vn4+FxWKtUKT/3gSVrNJolkEl7KGiDAMHSWFheZm5vdsJnjODy97ykc2ybbP4Akv5QH7TIhwLItCvkVjhw5dKV7sykurXD6+PhcMVzHobhaoLhauNJdeVFh6DpPPvH4le6GzwsYvxyJj4+Pj4/PBeALp4+Pj4+PzwXgC6ePj4+Pj88F4Aunj4+Pj4/PBeALp4+Pj4+PzwXge9X6+PyIIkkSWiBAJBJBVVVe2vEoF4vAMr2kCY6zcZkySZIIhcOEQ2HkjTKm/UgjsG2bbreLZZoI8eLIAHSxqAuLF1mE2sfH54rT7nQ23BYMhdi+Ywc33XwLmWy/H8x/EQghyC8t8i//8s+sLC/jOM667WLxONddfwNXX3Mt8UTiMvfyyiOEoFIu8cTjj3Lk8GH0Xu9Kd+mSIt1w0+0/2q8GPj4vUbZNz/Dqf3cHmf7+K92VFz3Liwv8w1e/Qqu1fkq4W259GTfevJdYPH6Ze/bColIq8c//9DDHjx290l25pPhrnD4+P6LE4wnS2eyV7saPBMOjY2iatuH2TH//c8iJwwAAIABJREFUS140AdLZ7EtiHHzh9PH5UUXCn57dIp5rHP1R9pAk6SUxFr5w+vj4+Pj4XAC+cPr4+Pj4+FwAWxKOoqoqmWw/M9u3MzwyRjqdJhQOcfETGIJer0e1UmF5aYmjRw5RrVQ29Gi7UCQJ+qIyr7khzN6ZADPDKpm4gvpS9CLfQoSAnilYqTnsX7D43wcMHj9i0DG21v8sEAgwMjbG1LZphoaGSSZTaIHARR9PCEG33aZULrEwP8eRQwfpdDo/8i71Pj4+F8fzFs6h4WFuvuU2Jqe2oSgKsix789zPc21FVTVisTijY+PcfMstHD96lMce/T7F1dXnddxIUOKXXxPj7tsjBDUJVQFZlvCrB20NoYBEMiqzfVjldTeHmS/a/K9/7vD1x7fGPX3nrqu4ae8tZPsHUBQFSZKQ5ec/caL19ZFIJZmc2sbtr3wVTz/1Ax79/r+i6/oW9PqFiIQajDE8PcPOkSSxkIIwe1QLczyzf4W6JRBKjLEd25gZTpMKy7hWj1phkUNHVylbcbZfN8O4VufQoQUWKjpCjjIys42dwyrdjokVzDKVPt2hRqA3K8wePUYhsoNX7OrjxFYhbIxWncWjR9i31KP/mtu4fTKMesYfpkvx0BM83e5n9/ZhBhMBZAS2ZdCqFJmdXWa50kXtn+CqHZNM9q093oSLrbcp5pc4Ml/DTo1zw8401uJBvn+4hqOFSE9fzcsnVRaefIKnihvHa14cCuFkholt40wOxAmrYHUbrCwtcGi2iUiOc8vLJ8mcvFSBbXQoLxzliYMVzMHdvOb6HDFNPsMUMVeP8G/78xRbFkJJMXPNDNtHY+iLRzhwdIVeapJdO6YYS5z1cDPbrC4c59GjLWLD4+yeGiAdCaA4Bs1qkaOHjjPXdNFG9nDXjf1onDCBXKxuk/zsMX642KBnuls8Ti8eLlo4w+EwO6/azfU33EhfOoOyxUG/J8RXlmVUVWX7zl1ksv384InHOHL40AU/0DRF4qoxlbf+hwRXT2iEA75SXgokCRQJFFkioMLOUY3f/Mk4100F+H/+sU2hdnGzBvFEgpv33sr2nTuJxeJbIpZn9ltCkhRkWUHTNG64aS9DwyM88i/fZWUlj2Nv9cP0yqIEwwxsv5obp8LoxRUOzOmosQGmJnZzu2zz7X0N0tdcww1jIfTiCocXTOREP2MjM9yoyTx5qEyzYyONJElHw5SqOr1wlEQiSsBpUu2aqFGB3iixOF+i4QIIHFOn3QM1riILi/L8MRZbErIWJTc1yvY9Lq3yD+moKgHNZPnZOQq6g/ercdHrXXpRGVVT0MvLLJY6mMEUw4ND7LkmQPDAPAVJRtVcOpUV5ufLtNQo2VyOsZER7F6HZ8pV8p0BZoZHGFlpUpAzTI+noHGU2fLW3+dAKsvkju3sSAsaxSXmuxBNZRnetp2IcpxnKt5sl1GcZ/9KD0nSiA1NsHPnbszm/+YpWUULKLSXjzJbMTDX/oTcXoOG7iAANZmkLxkjEQoTTSdJxKvU6kWOH+pRjCbIDQ0wGDYoLi2Tb5gYpkNyeJrrd2fR2hWOH2njBBOMjo1zQyyA++gBVmQFLaDQOnaA2YaLS4js5BhjO7fRa+7naKWH/hLVzosSznA4zJ7rbuD6G2+8JA+x9VBVlWx/P7fd/goCgQDP/vCZTYtnQJXYM6nxuz+bYHJARVN80bxcKDL0JxX+/Y0hUjGJjz7UumDxjCcSvPJV/46p6RlCodBl8RTVNI3hkVFe8+M/wXce/hbLi4vYPyriKakEQn2MDkWR6gs8vm+Ohi2QlCKV1ihpQ0dEc8yMxKF8iB8cWKXec0Au05X2cFU2R265zkKtRSs3QCIeIhKUcGMR4hEJo9Gm0ZTI9LuYvRallVVWTw6dQGgRMgiEY9CpFJhfFUhqkEYow9h0glRMpguASaNYZLltY4m1fV2BFAJwMTs1ioUyFX2Vam+Gq7elyGXj9NoADma3TbVYoqKYKJE0wwkZ4TronRarC6sMXZNjenoI1xphUGkxd3SZ5lYLgRQkkewjl4TmygJPHVyh40po4RKr2RTBrulZc66D0aqyuFDHlRXUXpTxwVH6EmHkztr1Nsrk8116J8ZSuLiuABSSfQkSAZ1a3UFToiRjEbRSlYrRox510JJ9ZNQejcoqi2VBMJFmcjhNSK9wcN8hZjsuqEFWezKvuGaA7SMLrPS8cTTqqywu2dhCoqKmyO2MkoiqKDXgJSqcF6V426ZnuHrPHuLxxGURzRPIskwikWTPddczMTm16f36kzK//hNxtuU0XzSvAJIE8bDM3u1B7rkjesH733jTzUxObbtsonkCRVFIZzK87GW3k0gmL9t5Lz0ySiBCPOTSqVep6xaWbWMaPYrzsxxZaWPHksQ1l3a1Skc3sWwby2xTqnWwpCDxqArtBvWuSyAeIRKJkIzFiEkWzWaHhumdSQixtlYsEMLFcV1OXzoWrrc2LilB0rEAwtHp9gQnmrjuqf0d18UVp7YhXBzHwbYMavUWbUMmGAkSCkpAiMzYNLf+2O38+1dfx/UTIcx6kaViF+EYtBsl5koOyfFp9oyG0QsLHK3YbPmqthwgGAwRlAzazQYtw8ayLHqtJisLS8xXepzUQeHi2Y8K8VSUoOTQ7Rlr43VqHECA63hjA6DESaciBKw2SytVyqZGPBElHvaKmduOiysAIXBdB8cBRQmRCMvY7Sal1tr9NQw6pSpNVyGRip8UB+8eCYQcJBULomCi6y7uS1Q04SIsztHRMXZetZu+vvQViRGTJIl0OsOu3btpNhus5PPnbZ+Jy/z0yyJcO6mh+D7EVwxJgkRE5hVXh/jhgsXXHtvcmueuq3YzPbOdcCRyRX5vsiwzODzCnuuu58nHHqXVal32Pmw5koQkyciSwHWc08RC4FgWDqDIMhIyruOe5iQlTgqfLAFmnWqjx/BAjESiHzceRjJb1JttDDUGBOgbmmRvanjNYrRolQscPlxFIKGGEkxcfxv9NkiSjKYYLB2ZZaEniANICXa+7BYmXeGJh9vk2JNHWVznZ+AKcIUEnIgjtOnUaiwtV2lJAeKpFAOpASbH2jQOl+n1OlTyBcpD02Qpc2y2TPeSCMEJfw+B67onx1oIF9t2QVIIApIaIDW5hx8fcpCQUQIy7cUjHC5YOBkAlezOG3j11JoIYlM6eoCD+Sa9WJK+uIbZalAr6NihKH3xGIlYiEJnvb+ztWUwQLguzqnbi3C8sZRleW0kVQau3sudOwQCmWAA6guzLDQMDF84N9lYVZmanmZ0bOyyWppnIysK4xNTrBYKlIrFDafQFBkmBlT+462eI5DPlUWWIJdS+JmXR/inZ3Q6+vnf7wOBAHuuvZ5kqu+KBvKrqsrV1+xh7vhxOp0O7ov9VVu4uJZOz1JIx+OEpTptAZKkkBydZJAy8+0uPSERScVRl3SwXSBAIhZGkxyquottW9TrLToDaZIDGbQAmI02zbYFKQCHXrtFfqlCy/E+G90WHRcigGubNFaWWTYCZEfHGRYNCkt1ei7EAIRBeSlPyXDWLCadim7hnONALRGNhIgEBVbTwrQ0wEHvNCnmC5QdmUjHRo1P0J9OklDKdG0Ls9ek2RWk6VFrXwJrE0DYWJaJQ5JIJEJQatMToIai9PVniFlt6g7eFHJ9leOrFqH+cXbFBfP5VarGCQtb0C0XmK+aWK43lp26gel407TxcJh0bIob+9z/n703e67kyhPzvlzukndfcAFc7AWggNp3sprN4dJ796g1LYXCVk84HA57ZIci9KawXxX+H/wwEX5wSJYmRla4ZyTPaKa72T1sNptkc619x75cXNx9zT3z+OECtQKoKrKKbJL4IqpQhTyZec7JzPM757cdlLBGGIlkPEqkbGypve/Hw3UtdAeykSiJELRMQJFRElGiiqDb1be0sIJuqcBiC5LDk4yHGlQ3G3Rs7+uqpQWeUnBm+3Lk+gcIBkOPHpSCJPtyDPUHaC4uU9AFSihK//gEkzGdpdubuIMTTA9ECSsCu1tn6fYia3qaw+cOMBBW7qoGrNIi83qC4VyA7toqy+UO+kNmsVAoRP/AIOlMlnJpZ0/bZETmzHSQbGIvIS9457+W+Q9zPpkzGf71CwGy4a+ikBWYhsfcgkf6UIjhZx1607J488Mu7+oBvv1HcV5K71xMVWCkT+XcdIi3ru5tox4eHSWVSe/qeCZFshw4MMRoRqKxus7iapXWs4lYeoRIJMrI6BiVSplup/N8bvJ5IVwsq8l62aZ/YJQTs4KVhoUc6WNyOk+kqrO6WWK1MsTRgQMcNQKs1yzkaB8Tg1Gk1hqltoHhCfx6i6aeZbQvhWbXWGx3aNlia2AR+I6N0TXobjkH+S6oIWXr3xbtSoHFqkrF0kgfTTE+nGD5ZnOroh62bqBb3taqyEMOKkiKBMgooRiptEewL8HwaI40XVbqHZpemhwSihogHAkTFQESiRjxoITQ79lLER6eD3DfqutZ45u0W00qepbR/AiHHZWSDpF0jpF+Dbu4QqtCz8bZqrK83Eap+SRSM/SPDZIoLrHdG45lYhgWlterv6coyIEofekoYbfBWqFGtesgaWmGB+Ikk1GSWnUHwSmwDINyuc3oZI7ZwyZKsYsXSpAfyxGx6lxfayNiAvDRaxusFDyUTpjEyX7yg0lWGxbWA9qKrxdPJTj7cjmSydQjv5e1JP2DQ8yMJNAiAaxAgES5xLqVYmIkg1ZrYMaGODbVj9ZYY74cYmJ6jGNem/LNEJlcGq22zHLFwvHAaeu0LQVv5AAjwwZN3cJsOY/McNLpDJns7oIzEZU5OfGY+D7T5B8+Mnm/4qP4Bv/suEoyLH319ltzfWorXf7iTZ8fToYY1p7x9R2fUsnhRlvipLN3US0oce5g8LGCc2R0jFBoh0kaABJaMsVAf458RiZitalV67Taz28enB8a4vatG19+wYnAMztszs9xWx5jZGSC4yP0bIadAreX6liOzfKNO4QOjjCYHycz1LNz2e0Nbi0VKXXsnqer3aLaNsn3J/GsDq12F1tsDywq0XSOqcPJu3Y8z2xTKpYobNfDdbBMB6+4zJ3Bkxw7MMl05Qo1AClC/uAUWf/eqsvcXOByS0FCIj4wyqF0Hs8HYXdZX1xnpdTGTaeBAMn+YY7E+3CFhCxLuJ0qK6uVZ+8AtCc+ZrPCymIAZXyA/olJBhAIz0FvbLK00cIJ9HK7+p6HY1tYjSI3Fwd4dWaMo2MVPrR7Cujk0ASHc9uqWhDdIteLAfriAex6gdWVTUpdD4IGUuAAE7E4iXiYzR2sC57Vpbq+zI3AKAf6hzmclUB4+FadO9eWWGx528t+hOdi2w5eaZk7mylODI5yoNbhRqGD4X49RedTyYdEIkk0+qhzh3BtbNfBVTViqo+venQdmUhfloxqsFJoYCopoiEZs1lhrRBj4OAog1oQOaCiSmDWi6yuGr0H4Xu4wqZQG6I/nyYTrVJrOzys2YvFYsT3SCgcDUkcGNi7ica8zgcNhfNHVD5ZMvmkGmM6DgnF55O3m/yipTAqeRRqHnZfmLMZwea6zR1T4dypCK/nBBcvG1wmyHe/EWGoafLWBZ3VZJSfnlFp3OnyXy5ZbJgS8b4gr56P8e1BCb1i8te/63KpKiAe4LU/SvC9IcFHv6rzczfECRyulX1CIxHOx12uL9kURIDXz0f5xpiKXDN577LBuysuRlDlxJEIr8+qtBZ0fnPdQcoG8IoWq5LKiaMRXopa/F//uc1bG7Dx/0iIf5ri9W1/F8fk3/77NuWREKmGzXwbMgdj/Om5EMOaz51LXX5x3WJJl8iNavzwjMYxxebvPzBZsAWKJJMJ+BS33eRNl6sXdX61KJg8HeePJ+QHXrRgAGaGH//q5fpyqOouibWlMOlkjKhk0+nKoMVJxDXktk4gkWFoqJ++kI9pC7AarFYF/aMD9EUVhK1T3SiwsGkgohmmJ4fIRVVwDaprK8xt6jj+owNCJpPdQ5B/uRC+i9EsM3/ToKQFCCgyeC62qdNsm7gC3EaJuZtdilqw51TneVimTrtrYW8PmMKmvrbEpcYGit2l1XERCMxGmbmrOsXgg9oe4TmYhk5HWLxfA6MpQAg8o8nytSu0I6B3XPTF67xTUh5JoeIZLTpWl2tGmbAqb18Ux7bodgx020Wub3LrSpu1wL17C9/DMQ3aXX1rxQm20WH52iUqGM9VmPqORbNU4Fa3wXo4gCL1xkzDMGh3HQisc/GDKpLewQeEZ1Fbusl7zRB+x8J2lvjwgw3Uh80VrkHDkNA7ZSS7Q6uzFariNFiZu00tKDC7Dr7TYmPhFm3VQ29tPzcPq1NnZd6iWQwTUCQk4eNYJp1OF8MFubzAe++uYjVcPAHC1SncuYFZUHA65o7fyNeFpxKcmqYR3GHgEJ6P8Dwsy6DeNbAkCVlIJJIRFKtMpWFgB0sslTJMj0xzLq2S8uosrNSwlSFUINw3wbGEhLC7lNcLrNYMGk0dczhNIhoirLYxH1rJhEIhwuHdl07BgLS3mlb4XLhssBnX+Jd/pGCvdvh43uWP8zKJiKBSMHnvtkT3pEbWs/j4kzbrYxpnEtAtGLyhKAwelVldMfkYidPnINP1uLNociMX5NVxj/c+0Lka0PjRrESt6HBx0eVURuKdXzX5q2aI/+6FIO0bLf7ilwrjP9UorBj8dt0j+k2NmNXhrfccNmcinAwKije6/DweIB8T1C50+fUy9I+FGetaXLmqI4c0hms2716wCB5ReKVPxrum87e6xOC3ghxISXhVhUOHwkzc/xgln2tXdX5fk/lXr4Q5fLvNf/pdm+yAyk9SNr+7YbEZDnIs4vDRjS5vxBTSwy6LSzq/rCmcPKRxuF+mWQMcj6U7OjcWTKq5KN9JSY+4bquyRH/y8briaCy+h5o2QSoRQTFrFBsKkWSEZCJGbFPHCWok+voZiRhsbpSpWiFyYznGUw7FQh0vkWNiSsbqLtLK5RlOK9RXy/hDBzh40KVeXaC0gw0nEo3uLsi/hAjfxWg1MHbeKQuEi95qou92vFcIu9ui8tC2oJ6l07B0GrueZ7Jx30pICB+jWWV9Wy9pVu79ewcsfXcnLd/sUje71PeqNuC7Dq1qmT2b90wQeI5Fp2Gxo67C7lAudh4sbzQp3PXrsSnu4UvXebgrhIPeajygou02bB7euVX4Hna3Tbm7c1/6RuO+OvTqZbfrFL8C/nGflacSnLIs7+wUJFz0ZpXluTay7UBQwvcDpEIqvmXQ9WTkYIiEJuOZOq1uiEgqQSIeQu166O0uvuNhOwHSuSHSIR9dX6NsmDi+TCisoKoSd6eK2/XZylS0a30l9gw/EYbFmzc8MlMaJydUSsMd/uMdi8K5AP2RXjYhX1GYOqDx4qDH7TUTL6py4mQQue7wVt2j3Nnt+hLCE+htl4LvUMwH6e8PcnBIRnQt3r5ksRiWeP+mh1lwmasYXG+HEULCV1QOz0SYDln8fsWGTJAXZlRKq01u1DwaRZ/ryxYfLsOI65MwHRY6CuF8gFQQpIBMLh/me0cEqYbFny87VOQIx4dUQusKx4+FmQjf31G9H8FsmG8ci5CO27xxQ+dSwee7kZ6Krll1WBQuq5subsWnnpOQJAingpw8FuF8wqa8YFArWLzVdkkkg/zJCxpHdhCcktSLrX0cqqrs4hQkEUkmSEZlzHKTjapMXyhOfzxGKlKhJARIPo7ZobReohbIMjWRIRnWcfoUfC1GNBKiP7FMS5JQ1BDxVAKhBYlGkyRViYr9aIjadqaiffbZ5+vNUwlO13XxXBdFfeg04WF1W1i6hCQESDJasg9FlhC+j6+ohDP95KMu6xeXuNMIIbIvcmgkR2KlyPxtHdnS6doy+cAJjqSSJEJF6q6/5RrNjinxXNfdMyjd83u5U6M7OfsIQWdJ5726oLPW4c//s0yx7FPRDS5VI0wnt4Z7TaEvKjOkymgBGSUuk8ooJMISQV1wN33udniVEHfjm1J9Ib79R3H82w6FVZMFWyJlKkyc9mhYkJ4I8eKkCpNhXkXmaEzimgREVQaiMvmEQlBVyCRlkhmJZEBC8QS+IehaEE4HmJnUmI1qvKbKjOZluisWgZBMOqUwGPHpi8ngg+3e68Pd0gvGEgpJFZIJhYgsME1BYdniZlmQGg9wTIP1zV78mOcDkkQyqZDPqMQlB1mA6QmE4xNyfJrGzqocX/BE+Wtt20b4PtLDkyMpTCoVIx4NE5SGmIyBltSIOTGSiTAVU2yp70w6LRs3LRFQBI7eplRqYIkqa8LDMjVyI3HCos1atYEa7mc4LqP0ohp42PPBcZwvv0ftPvvs85l5qpgSXe9iWtbuBbaCk4UQ+MLH9XwkRSUg9eK0ZFlG3vKIk+VeOj05EmcwlyYdDRIMBgmp8paNUyBUBblnWmEndbppGBjGoz5j21iOYLOxs5ul7/tcvWRQCId4aVolFVU4fDjMqO/w8aJLe9ugKkkggby1z5ws9VZaMiAJQJVQVDB0j82KQ6nmsNYCEJiWR8tXmD0S4yenNWZlh7cvmKyrKkNxcGWVc6cinEsJLFUhEdzKmbv1VLYXy7LMg/eMKKQiMomQyvR4mDMjCpmgRCAoE5S2ym7Xc1tIbgkDX/i0dMFONv3ausVi22d+1aHsymQSErWizVwNBifCzOYU4orAc9nKWNJLrXdXrkmQ6g/xzdMah1SXDy8a3Nnh8bieoFB9fBaeVrOJu0Nif0lLkEloqFaHVqdL1+zSbHUxFY1EIk50W7srAOHhujaG7eF7Nu1qhVLXQ5HB88JkMlFCbpv1zRaW1Ot8aRctcqfdxnEe4/m0z1eSxyX8//pa+x7l69AXT7XibDQadDrtHR2EHkTguS5tw0GOa0Rll0qtzHprlPT4NMf7VVJKh43VEi0nzHAiSz4TJ+fIhDWH6kaZuuGiZDVCsodhujjOo4+j3W7Rau5uCOkYgjsFl8nBh1fIAt+w+fUNj/h0kv/huxEGAyC5DpFihf86Z1E4rfBECdZiKmNDAVLrFm+8LbEWdrFV8H2wLZ/iqsEHukJ/WNBB4fBUkKFIkO99I8LVSx3+/P+zUVoO0mSA18UT7icTD3JmNsT8BZvfvN3gUgC0TIjXBpVdZ0KyKhFLK2Rci394q8Pk9+O8kHiwjOI4/ObtJuUlC39Q46URhalgkNF5kysXOhg5mVhUplQwudGnUH9k8SURiakcPRwlGfD4y6sGv7wdYuJUgPs1w5YjuL76+N7dLG0yOj5BIHC/XVFCSyVIRiSM8gbzSyWqFgSSg0xPDZFNxEkb93vr+thGh81incxIhulDQXQpQMAo0yh3aDRNhuM5ZqeDuEaTtptgYCzD2q0KLcd/YBCoVMpfqqTvpmnSabeJ7eFAt8+T0ajX99ydqdtpY5om4XB41zJfBzrtNtaX6Bv5tCj5obH//UkL+75P/8AgfX25x5YVkowSjDGQi0GjRKHWoWM62K6P55jUSyVW1iq0ugZtw8F2XBxTp14us7peoWGp5MZGGNIMNtcrlLfd3+9jZXmJ2zdv7jqYCQGxsMzLR0I8YJqSevbHlqdw8nSMV4cV4mGZiKaQicgkkiqHRgKkQjJ9A0GOj/RiOwNRlemxIJNphYgqk+sPMjseZCKr0heViUcVRvNBThwIMTUc5Gg+QDrYE6JClekfCfPt0xGOpWQGcgH6IhISEtl8iFePhZmKyaiyRC4f5vSISiIoocYCHDkQYjwmE1JlhoZCzA4FmMip9MUlQqpMMhvk5MEwR/MqMUUmmQwwOxZgNC7B9vGJIMMJhXS092d0JMjgdqSOcHjjlzrmTJzX+iQi2RDfOB3hlTGVobRCKqoQDcmMjIc5Ox5gOKEyNKCSzwU5OBxktl8lGejZVgf6QxwbDzKRVkhrMplMgMnsg161jY7Pv/11d1dtwN33zfOYnJpG0+53AJNQVAVhd6hsVqk0DUyn5y5v2zamrtPq6HQMi06zRb1lYnoelmFg2h6u52J1mpQ2K1Q6JrrhYNsOrq1TWt+kpjvYtkGj+ajX4OVLFyisr31pctYK4aOqARLJxM6x1/s8EY16nUsXPqGwvrar8PR9H02LEIvFUR82ZX1N6HTa3Lp5g4WFOQzj2eyG9IeKdPrsy0+8slYUhdNnz3H2hReJxxN7F5ZUIukBDh07QK67xAeX16g/hZYrmBrl1IlRos0Vrs0VKXcfzOzRajX54L13uXL50q4vsyz1duf4Nz9NMjvy1fGGfOb4Ov/b/1pm+dVB/s8fhUg9xzHWtAVvX7P4N3/RwNpBi3A/qqryvR/+iIMzhwh+hv02nwXlcok3fv53bBQKX5p9OmVZJp3JMDY2TjQWZ9+v6ekRAhr1GgvzPWGw27NXVJV8Pk8+P0xIC3/qnYi/rAjRW3WvrCxTr9W+8r4ATzU18jyPxYV5+vpyzB4+TCCwx2AmXMx2laWFALbmPvVHK0kOjWKBYqVK03hQaNq2zcLcHMvLS3uqT3wBaxWPn72r86/+UZxkdD9Z7Y5IKq++lqA+pRB6jpt5ux4sbrr8p991Hys0oef8dfniRdLpDAOD+We+dd2TYhoGVy5dpF6rfWmEJvRWQdVKhWql8kVX5SuP57qsra6ytrr6RVdln8+Bp1LVAhi6jud5JJJJYvG9txTbjhMr1ToYT5kKzTM7VKsNmob7QDosz/NYX1vl8qULbBaLj72O7QrKLZ9sQubAoIq6vzvKo0gKs4c0TvbLBJ7T3MIXUKx7/PV7Or/45MltIO1WC0VVyWb7CIdCn3s4iOs43L51k0sXL3wFMgbts88+z4KnFpwAuq7jOA7RaBQtEvncVgKObVMorHPp4iesra7uudq8H9sVFGoe6ZhMf1LZT/j+OeN6grWKx88/Mfjr94xeNp+noNlsosgK0VicUCj0uW0wYJomi4sLfPzhBzQb9S/VanOfffZ5fnwqwel5Hq0oWmYUAAAgAElEQVRmg06ng6IqhLXIc7dBtdttFhcXuPjJx6ysLOPY9hOf6wtodn3mNlwkSSIZkUlG5X2bz+dA1xRcXXH4m/cN/sv7BvXO09s+XMehWq1gWxaBYBBNizx3B4x6rcrtmzf5+KMPqFYr+E84Sdtnn32++nwqwQk94Vmv1ahUyrhuz+vH8z1A2j3D0FNe37JM2q0WpdImt25e5+LHH1MsbnyqQcwX0Oj6XJi36Zg+iixhuQIhenGIiiztC9JngOeDbgkqLZ/Fosf7ty3+33e6/PKC+dQrzftxHYfNYpFWs9lLqiH8XnIEqfe+fSYVrhC4nodh6DQbDTY3Cly5fIlPPv6ITru9v9LcZ599HuCpvGp3Q1EUEskkQ8Mj9PXliMfjBILBTz2YCSGwbZt2q0WlUqawtkqr1XpmnlqS1AtTOTMdZHYowHCfTELrJWXYF56fHiF6MZq1tsdyyePaisPtdQfzCRyBngZVVcnl+hkcGiKTyRLdziH7KZ+dEALTMGg2m5RKm6yvrmCa5r7A3GeffXbkmQjOffbZ5w8PSZLQNI1EMvWFh/Ps8/XEdRxa7RbdbhfxFQpR+XpG6u6zz9eASCTC7OEjnDp9lnQms5+gfp/PnVazybWrV7h6+RLN5u575XzZ2A9s3Gefryj5oWFOnT5LJpvdF5r7fCEkkkmOHT/B5NTUF12VZ8q+4Nxnn68o0WiMdCbzRVdjn6858USCZCr9RVfjmbIvOPfZ56uKxP5Kc58/DL5ir+G+4Nxnn3322Wefp+CZOQdJsoKkqqAoWxsPS89/liF6fwlfgO8hXBfhe724iGeIJMtISm+jS0n6HNr1LBFb3SEEwvcR3rP3bJNlGUVRkGUFSe7t+PJ5ILaeve97eJ73zBNLS5KEqsioqtKLTf40z35rc3PP83E9D8/z98Nc9tnnS85nF5yyjBzSCA2PEzt+Fm1yhkD/IEokxnMPihQC3zJxamXM5QW61y9izN3A73Z6AvQzIskSSiiANpQlMpwlnE0QiIWR1C8m2finQXg+btfEqrXRCzW6q2U80+5NNj4jsiwTCoXIDw0zOTVNfmiYVCpF8HPIKSuEwLYsGo06hcI6C/NzFAsFLMt6JgJUVRQScY0zx6Y4PjvG+Gg/mVSMgKo+8WstBNi2Q6XeZml1k8s3lrl8Y4lW18B7DhOYp0KSUOSHsmcJge/7W5vGSyiq/Og8YbsMUm+zdPneNKmXmEKAtDXJED6eL0CSkCWZ+3OiCN/H93sb30uyjCJLsDXB6N1eRlUkfM9DSArKDrqx3v2kR+KvhdiaUImtb1je4YE90I776iZ627Ft142tBBt3L3HfcbYmU8LvTYa227LddsGD/XPvvgIfHrzuw/2y1X7heQ/k6gaQFeWR8+6eu/1c2LqPENxLSnOvb9jh3veuIff62/dxt8YJSVZQJIHns2u8+/3P9KvOZ4vjlGS0qVmy3/8nRA6feP6C8nEIgV1cp/arv6H14du9jTA/LZJEcnaY9LEJAnHt8eW/JHimTf3aMo0ry59p5SNJElPTBzn/0jfJDw0/wxp+WgSF9XXef+9dFubnPnXbJHqD35987wV+/J1zxKLPbmNiIaDWaPO3v/qQX/z20nPfeunk6TN87wc/2uGIgpbIcfyl00zHBUKAcG06zQpLt25zvWjiB0d59fuHyQflB+053QIffjjHmhVh/OAEk/k0iZCMsHXK68vcWKgi+sY5NplEX53n4u0qJPoYnx5najBJLCjhW13KG6vcurVK0QkRGz/OD06k8KtzvPnbReoClPGz/OR0kDtvfUJl5AznJxNo6gNSnsqdC1xqxDgwOc5EXwhZCDzHpl0vs7ywylJdJjc5xamZPiLb9l4hEPgYzQp3Ll5hzkozdXiKqf440YDANjuUlue4dLNM2wc1NczJY5OMZiKEVYFrtFmfv82V5Sba5AnOjAeoXLvNrbU6HSHRN3mE4weSGKsrlL0E44fGGQz3hInwHLq1EvNziyy2Q4wdO8nZ4VDvXRWi1y/rC3x0bRMjf5KfvJih9OFveHfVxd1+VaQIMy+e42g+Sli57x0XHZYv3WLNzzA+PcawUuPG9TmurTTxolkmZ6Y5NRWlu7rCrbkWkUPHOZkPPvCduGaH1esXWMu+yCtjAdrzH/Pzy1VcITN46mVe7qvx3lWHgydHGIgFUaTepKB3DYfNW9e4PL9JxXj02/vow/f5za9/9Wlf5T84PvWKU4klSJx/jdRrPyCQzn7xQhNAkgjmR8j9s/8ebeoQ1Z//FW6t/NSXCcQ1+s5OExnpQw58tUJdlXCQ7KkpokMZSu/dxG7qT32NWDzO2XMvcOTYcaLR2HOo5adBYmh4hO//8I+5dvUyn3z0IZ1PsZtJfiDDn/30u8xMDhF4xpoFSYJsOs4//5NXODIzxl/81VsUK19gbJvvYtU2uHizjKclGZ4a5fj5BIF33+NSq/c9W5sLXFluYrpbg6GnU2sJcrMTTOUCNJducrXmEBsa5cDgMJOGT+U+ZU8wmWXk0CyHsj71wgJzLR8tM8DYyBSnAhLvXtjEp7eiCaZHOTxc4N0169G6ii4rV5ZY79j0ElH5WJ0WHS0K+LQ3VljZqNNV04yM9HPoWAjtzhLzy3f4fXWNeLqP0dE+tM4GtxZqdB0H208wdfIox9Ium0u3uNaG2MAoBw+d4lX1E355RefA0UNMxprcvnSTTStIfnqaA9MHaNVv0XqSIc/pUCoVWdzoIsdTDI32M3XQx79dROBhdsosXFujLoeI948yMzHL6U6Tdx+XituocHNhg0rHpidTXYxWF6kv08svGo0Qj0dIqE2MSJh4LELggYmai96ssXBjnaoHIPA9F8vwiWR7k8f4+AEOzle5df9n1N3g2oUad5QguamDHIgZrC9usNky6HbatD5DWs0vE59KKiixBKnXfkDqle+jRD8HlexTokRixM++hBKNUfrZ//1UwjMQ1+h/+QhafwppJ/3QVwBJkQkPZBj81kmKb156KuEZi8f55suvMHv4CKHQc9zx+lMSjcU4eeoMoVCY9955+4mFp0RPaP7r//lPyPenUZ7jsw+HApw6eoBETOPP//3PKZa/IOEpfDyrS7lYok2V9aqL9voMBw4McP1y75v2rA6VcpW25d1VwQk01ICCLHno3Q61SoNCrcaSLPBcmczY1ib3UohEMkp/0qe+ushH1wp0fFAKmxQ2+4jZNQwghI/v6bTbKkMzY2Q37vBoj7h06zU2qwbm3bFZIAV7P12zRa28yUa3RLVrcXR2iGwmxsbGChvFLpbQ6B/MoOhdSpsVOnKY5OABxlM+1YVrvHujjisklEIDVzvPyYkxRm4vEA7JSMKl3WxSbTlUGlVu4WLbPum+J+hj30Vvt9golLA0EzsY50QuTCQi0UXgOQaN0iYrjkq4qdCfnyQRj6JUH3Ndz6JRrVGsG7h3u0MingVcC8tRCGlR4lENJRIjGpSxzfu38/NxbYNGqUzBufdbORAmInxEt0VNyTI7k2PpYu2eutkzqZc7+IQI5l18zaFZq1OsdHEQz9q95A+WTzU6xE6+QOLFV/4gheY2ciiMdvAIme/9yVOdlz0zRbgv+ZUVmttIskQwGSH3jUNPdd6Jk6eYmj74Byk0twmFw0wfnOH4yVNPfI4ky/zZT7/73IXmNgFVYWK0nz/9ySvP/V6Po2f38vA6NTY7EqFEjLi87QclEFLvfZFlQc/IZ1AuNWh6MaZOnebbr7/AyyfGGc5oqDL3bFxykGAwRFBYtNstul7P5uaYBuW1NZZKXbbHbN9zKC0W0ePDHBkL72B/E3dthrIs9f4vHji85QDn0enotHUfJRQmHO6pyLdtkNvtRVFQY1GCvkWr3sTxBUL4eF6XYk1HCkRJRTusrdYxQv2cffWbfO/V07wwmycbeXI7N/SGSElW0SIx0okQkmthmfdXXkINBEkMpEnIPrqu8yQeGrLU6wtZ7jmtCcRWP1h0DRvUMLF0hmg0hIJFq7PDVaVtG7HEfT2E77WYX2wQHJ3iQFJ68HkIcU/Fu6VmFuLrIzThU6w4IzPHiJ95iUC67w9WaG6jaBGih0+S/MbrNH//m8eWTx4aQctnkANfHuefz4Iky2gDadInJmhcXX6sw9DM7CGmD84QiUY/pxp+eiLRKNMHZ6iUy9y5fWvPsqqi8OPvnmNmcuhzEZrbhIIBjsyM8qNvneHv3/zkc7vv7vi9mbS459CijRzluwP+1qAo0Ndv8eGdEvXiPB/rNQb6MuQySdLZEY7n0mTn1qjfPyxseyJLICSN9MAop84Mk5IEtt5g8fotVgHhe1j1NW6XBzg7PU7fovTgrF5KMvON80xte4n7LeYv3GZhRwkjIbZasPcIJSEhP2IP930ByEiSoLV0id80cgz3p8mkkmRHJskPJrl5YY72k7wqwQQjM8cZmPJBkhBWm42FAmsdiUFUIslhzn1vgNP0HG6cyjLXVk143Go2Osjpb/ZxYlv72i1y9doKvYWqT6djIMkBUv19RD0JyejQ8oLcS4cRIJ4d48XvDW05H7mYnRLXPljuqX6FR3dxmeXRk0xND3Bd7OAo9jXmqQSnHAwRPXoKbXIGPqfNhD8TkoSayZJ46Vu0L76Pbxq7FpWDKqlDo6jhr1cybEmRyRyboH2ngGvsblgJBoPMHj5Mti/3pQiqlySJvlw/M4cOs7y0iL3L/q2SJJGIa/z4O+eeuU3zSYhFwvzwtdP89vfX6Bo72PY+LyQJScvQFwGn3KYjAgjAqa1zfbWN5fRGaFuv03UUovEomqRTXmtQWJEJZUc4cjBPIhnF2e5q4eLYFi5RotEIYalCt1nkxnWLbDbPVC5I4O4wIvDcLitzGxx8aYQj/Tri/iFGGBQXVim2t22cNq2mgf3IHE4iEgkR0yTcto1h7jwZFJ6HqxtYSoZ4KoG80cBHQpLC5NIRcGq0jBCJVJyAW2FxrsyipKANzfDSoRTZZBBD6glYVe1tTYgfIBhQCMguHX/LG9Y1qFU3WdpoYbo2erdLp+uAlgI8LKPD0q01araLY5m02jq6LR6vCrQaLC2XqHXtnhe0q1NrW8jhXl+6HR07GKF/MI3SrlFudTG1LJl7OlfMToulOwXq7nb/6zQ8SNJbvTp2hRsLdYZmxhhtyyh/+J/958ZTCc7g8BjBoTGkwG7CxcNdvUj95/+BZneE+Ov/IwOnnnPKL2OJ9rtv0FxPEfvOf0PqIQdPSVZQ01kiM8foXP5w18tEh/tQIqEdV9FKbJQXDh7n/OgQeU3FN6vMLV3irYVlqtEZvn10hoHmTX5+4RqLn9d+x6E+DuZiKGadxUqTzzLkyqEA0dEcrbmNXXcwyA8Nk0pnUJQdhIsSIpUbYGJ0gFw8iIpLt1llbXWDlaZEamSC4wOC1RvXmat/Vn2ORHToAEfHY9hrq8yv1WnvcklFUUhnMuSHhlheWtqxjKrInDk2tYf3rE3h8mXe+GCOm8UOlhJhaHKGb708y5G8xSd//wEfN/s4/8oJzqQ6rFUdRKyPyVzgyVojSSQTUU4fm+R3H954onOeGZKMEtTo6+8jHowxOHGArNxhaamK7Q8AvRADz3Nxt8JnJDVEOBBgaHKC0YRHuVCk2LAJJCJEghJe08fdNrr5Jq22Q6mdY3ponJNekI2WixLWiMdDSKKDe//3Ijyc2jI3N/O8MBhHke63Tws8x8P1XLb9lAIhdUtDIKGEo6Syfch9CfLDgwyoBoVag9r9Zr378WzMZplCO8f0+AxnvTU2OhDpG2ImC63lVQpegiPHDjHgV5lb2KRuQiyhEZAFjuPRMjrog0n6RocZl0K0SDCcTxF2qnS6BpaW3rJxNtkolDG2Yql9IRG82yad+sYma3ZP3en5AmSF3vpOJhBLM9Dv94SwLzC7Ti9URPj4novnuj21rlAJBhTY+jyF3aXlBMgoAVRh0WrryFr2gS4QwsNz7nnsCqEQjqjb3Q3Co72yxMr4SQ6kFZTd1x1fO55KcIYGRwhk9tAheHWc0jXa15cxJBvp+i0yp17iyYaQT4lv4bUr2DWBt8uCSQlraFOzewpOLZ/e2a4ZHOTlky/zg7EEZq3A1ZJNKDXEwUPfJKIo/L6tkYqn6HM0Pk+rXywzxgvTebziVTaqTazPKI8iw1naC0XELhESg/k80chOKlqV1MAQs9PDZBWTerWCIYVJpQeZORhEXdqkHQoTiwrCSs829VmRAyEiUQ0lqCI/5pLRaJSBwfzuglNVOD47tuv51cvv8O/+5jaV6DBHT46RtCvcuHmRv9J9+O4M06dP0WeH6csqlBcWeOdGl9Thc08sOKEnvI8fGv8CBKdCMJnn5Jkcvu/jOB2Wry5wtWzjbYU6BLPDHIvnt+IBAdFm8cICpY0SkdAgAxPTDEuA8DCbmywWatjxPLleYexmlZV5FWUiT350kj4JfM/G7FSYX1hnqSWQE/eqJDyLtbl1DvZPkr1/jiZpDB2cIndfnKBVWuRKTUVCIpYbYTaVx/N9XKPF2sI6i4XW7t+F8LA6NRauz6FMD5M/cJC8JPBcm9bSLW7cqmLYMvOLm0QO9DF1OIsiCYRwaK8ts1gxaFrr3AkFODiaZWI2iyR8HL3B0vIGa1WTyHCvD3qTj0fjMXv1EPie9+AE4i4KmQNHOTe23WaX4o1b2AoQTjNxMMbo3f7wqC3PUfC2LNPCoq136XS60NVpd3yS/Q9eOxzLMn08cde5SDgWrcIiS/cqh7Cq3F6sM3K87/mO418ynkpwquksajy563HRqmGvrOKGRokNR7HXrqE3zxBzr1L76zfxzv4ZA0dd2j/7PyivDZH9F/8LycBHlP7dr5Fe/5ekY7dovPs7uoUmInqAxGs/JDkVw/79z6gXfGTXgOQhouNpKH5M41YZKRFFtBsIsrvWSwoGCeZH9mxbKBPfynj0IFr/NKeGsojyJ/z62k1uNF1kbYCjQznCho5BHISMlprgm+fH+ElWpbl5i7euX2NJ9HFs5hyvjGZJYFIoXuWNy7cpBg7z02+fQSvcxhmcpHPpP/Fz9zg/PDrDZDQIRokPr73Lu8UWhjbGy7PHOTeYJU6XxeWLvNeJc3L6DK+PpfEHo8hC5p1Nl/yBE3xjuI+4aLOydp3f3lnDTh3jR6cmCDY2sSNRNq/+PX9bfPQrDWXie9qs0+nMzg5BoTjpviyZgEFpaYlbhQ6uFCCeSpGNS+hbywNJDZEYnOIbs2nCXofi4hJ3akEOnp5hqLvAW9cqePERzp/K4yxd5rqV5+RUHLtuEkjEiYYErY1V7qw17pOTEuH0IEMjOaJWheWVTcr6g5I/FAqT2iPBtCzLjI/273xQNLn4wTxLXp4ff/ssL04k0YTNsbEFFp0k6XCXuY+ucrmVZTzjUbnxCW8u2gRXW9y5ECEhZPrPvsA/PqKwfucmv/jtJpEXXuWnp2KP1GFiZJc6PBd8rG6V6x+8z4IC2+mlPM/FNozeM/NLXPxdm+AjXjouZlvH9HXa7SoLAfVusLxjWxiWCy2LVkXBt01M18WsbHCrU2M52CsrfB/PsTEtG8sFee0Wv62CYQDCx6kv8/7bJQKyh952cOev8tt1pZdY4P5W2AZdR6JdKzKnbn27wsdzHSzTwrS9u0KlU9vg6sc1ZNdkO8xQeA6d6gY39DpLAaWXIMBzsS2LruEh8GiuL3KhViCg9hIGCN/DMU10y8X1HSqrC3TLawRVGYme4DUNG8vxMTcW+bim4tvmQwJc4OhNVq5epCy7dB0exPdxN2/y5psLD9kVBXa3i1e7yIr6cBIEgWvqmH6TysZW33stjE4F2bUwbEHjepei5GIYHsrlj9kMPjTeCR/XMjCki/yD6tDwAeHRWbnBb2sBFN+mZbpb4S8OG7cu0wr46F3znmfv14SnEpxKJIoc3k2l5eLWi5hrDZSJsySP6DR+tUB3rk1sIoqkL9C6s0JuyqZ9eR3H36CzZJCI3KS9qJP84xbG9Y/QjX4Sf3QS+5Nf0Xg/RzB1FtFYx7i+iXLgPInRHN76h7SvLiOGzxAdtDEu3MbbwyggKSpqIrV3R0RCSI8MEjKZZJZsyGFzc5PVSoO6I8Aw+ai7gYpHZGAAJI1ksIMiKlTsUY5NHEFvt2i1+jg6GMUq3+Rta4hvzb7Id+pF/rIUZTg/wlSoxRt3bnC7E2X28CwzgQrvXGsweexFvn24ynJ7mcTsC3x3LEhhdYFVbYRDUyew5u7Qbjeo6ArN9UUu16B/7DjfHInQ2LjCFb+f48PHec32+b2ZZGJ4hGSgw1tzCyx0d15SqtHwnp4UWiSCGnh0zimFwkS0IJJVpdFo0jZcwMa2LVo1CaFoZLISqhogqslsNAxiYwNM+l1KDZ1oKkVWDvRurWik0insoowiNFKZHEF5g7liA4aHyY8O0GyY1LburUSzjCY04mGTYqlDa4flRSAQQItEdm2XLElkUrvEoto1losm6sAoB/MZcokQMhEix48w7EkEglXu1OsUqkEmpocZzqfJNDxGj8zyzUSdCx8tcO3OBufHUmwuLHOzpPBa9tHvR5b3qMNzQeB7Dp1GnV2DdXyLVn0vA4CH27HZMZDJ1bHvV5F6DkbXwejuciWz86BK1bNo3n9vt01tj4gpyzRo71HTnkrUot18uD0C4TkYHYfdtJC+Y9F2du8H1zZp2zvrg33ToLmLqlh4Lka7tct9BcLqUrV26TDTYZcjvcN3L+rSua/uzv3tbDd3fnYA2A+YfoTdpV57uIyP1W1/JhPRl5mn86qVFZB2kVBuA6e8iNkKEnrpPNGRDczYVYxb8/iz44RHMviLt7E3bAxpluTsIu35Zez4HdzUNOFUDFlToTlP53IBd6OIFa7gGXZP3x/sR5s5TXwqTPdOGUcMED90ntTwJhSuYu4VqilJSDvZ5u4vslP+KSQCioIiediu17M/AAgH3XQAmYAPSDat1gbX7tykO6AynB6mP6YhGh6+Eic/OE3ci5OLhHGScZRNgS989OY8b968Rd1WOOy4yJEhzkxlyCTiDAfSJCM2M4P9xO3rXF2+ynXjNhciKlanRWJshBNWhEqjStENcC47xJH+OJ1QhDERIRfx2WjnSK4LPNekUp3j7flFmrsEKO/c/nvIsryjU5AkyUiyhPA9fG97JSvwXAfPBWlrouW7Fq3yOsuNMFImx0w8SkR+fPyo2aqyWWzRjmTJ5cNEAkov8FwOkx3SkDyd4kqVQqWLtYMuTNpKmbYX6q7vhovtCuSgSlC+5+WphsPEgPu9V0KJBOlUnHTMIz8wyKnxMO1CgbcKBS4sypgbXZTh4xwf3PmTU79EaRz32efrzlMJTmFbCNfZ0TlItCvYa/Pom+vI7/1H3AsG9mYL37+Krs+gjQwj/36e9i0Xb/g86cOC5tsXaSXXkEd+RMhdonH1Dl7iJdInBnDcNezmfQnbtTRqIokaMhGeC6qGokVRIhqKFt4zMkb4/p4etQCe7aKEgw+pK31aRhfTy5ONa0RCMug+qCmmBnOkpQ6dkAzCxTA71JstrISO5UkEtTj9g0NMazYrc9e47U2Qyh5AlhVkerFkervGpmHiR49ybmyQcOcC/zDXYjw8TC4oo8ghNFXBN2w6jkWj1aZrKMi+QNuKSxMCkFVUVcZob3Bl7hKXmz74Nh3dQ4od6q0uOnXKprWrOdCz91a2OLaN53mPOAcJx8a1PeR4mFA4iISFQEGLxUmnQriWx/YKR+/qmJaE4fgQlrb8GKS7kzH5kdypHqZpYjs2su3hIW/l4QSQezlCZZVwOEg4AM2HVV6A53k4u3jUQs97UDesnZ2D1BjZhIxZa9CwXVyCqEB7bZmFlkI27z0Qb9dz55CQkQgms4yO5UgX1vn4iiDdVBh7cYzBHQxFQojn41H7NYqr2+cPnK/Yu/hUgtNtt/D0LmryYcHp4lZ7alp56BiJEwdQhEkoG6FzZ47uqkk0P07Q/StaV4MEzh0hNGkQ/NmbtBoewe+PoziXMQtl/OPjhPtlXCGB7SDEvaTPSDIokZ5a0Shjl9YwlRLWZhlPDOxab+E6ONW9swc5bYNATOvtgnLvTFqlZeabB3hh9AQvWwHiVZ1gepIXx/uhdIWPW72gcLEdX7b1hsiBMPFElpza4UqzTDl2kJAE3n0OSL2EyoDWx3gqTqBcZKmtMSmDrAQIei3quoMa62c4nkFPDHNmOEZr7SYVBVBUIqEgmmehGwZG2sc0OpR1jYn+LEG3xOZWTPTjki87LZ29Ipjb7TaOY6MoD+btFWaHZrONkU6RHxnFkuvokka2v5+BiE1xbZM63Nc/3A20Fjg4PsjROBktjJ9LEJIl7Acfwf0/7vu9RbNYoa1EySQzDPa1aK42eTj6wLZt2p3dFXm+LyiW6kwfyD96UM5w4ugA7/x2jjffjWIfGyTlVrnywXXuyGN8+9Xcg/WSwHUdupaNIWUZzOcYT8zxN9eXGRsY4TsHk+zkj75dh2eNYei0mg0Syb3NFPvs8zzpdjq0260vuhrPlKcKxnQqRdzmDh+428ApL2N2ominvk/fq98n+9oPSH/jPJFoHePmPH58HK2vg1WJEp3KIWVmiUQ3sNoDRMYTSMkJIhN9iKVfUnnnBiIzjCpWaN1YwW7cNxtXMoSnDhNJddA/+FsqH17DNBVkIXZN6i4sE3N1cc+2meXmjqEYbnuFd65f5nJX48DUef7JC6/wxzMjJO0K86UKm7uoPj1bp1YrUZGznDh0hvNpg/maTyp/gm/2PdTt3XVuVrqEB1/gJ0eGcRsVmuogL4yorK4vMGelOHv8Nf7bE0c5qIFum5TaLWp2iPHxQ5zLKdQL89zuRjly+HX++dnTnMxGkF3niSd6RqmxZwKESqWMYeywavdNasUiS4UWXjTH9Mw0xw6OMBSX0Os1yu0dloFAbxVqUirWMcM5ThyfYizk4iAh7WYOeOB0D1tvUlivUEvkrecAACAASURBVHfC5Aay5BKBR8y0pqFTrVR2vYzn+dxeLOx8UAoxcfYc/+hMBnPpBn/3t7/lL39xmUutMMMTA+TTIZT7yqaSCZKizrVLN/n9fIdINsPYcJqY46EMj3Iku7M61vN97izsUofPwOZmkatXrtBqfoH5cPf5WtPtdLh96+auXu1fVp5qxWmtLeOUioRHDzyo0pQ1AmNnyfzwGMroQQIxDYgijZ0l8+MwljKCEsmS/Mf/gkA7TWQoCOooqX/6PxHsZIkOakjaARLf/VMCmy380CBa7hzawRJeZISg+DFBN0poKIlEmMDEi6S/l0OrGEjRGPLx8wjiBPt21td6uo5+88qebdNXK6QOjcDDSd19ndW1K/xS32Q4mSCuSniuQb1ZYrXexAi6vHupRdSsUvRt/ModfvFxGbolVow1fmatkJIcWp06dZa4GpOoNspsvG0Qqm0NaOYab374BquJUM8hpXWTW2sJgnqRO80ilfoKQ7EIQWzq9SIL9QZd9Ta/udDidsSjWi+z3ilRN2uMJSOovkW9VWK51sINX+fvfr+GU93DfUIIuitl2ENwFtZW6XaOk04/HJcrsLoN1pdtOvUY0ZCKgo9tGrTbbZqmRFgsc7kF7U7P3lpevMOFgEHdtbCX5rjQjhKSXDotk1K7gqjb2E6R61ebuE0TyxW4mytc60oYTYOuXOS2W8VrtWgYEtacTVy1aduPTnza7TaF9bVd2+X+/+y9V3NdWZbn9zv2em8AXHiAJOgySSbJrMysrKzK7q6eruke1xMTHZqWIqSYF+lBilboA2g+gEIPiomQXhTSPGikimmNZnraSOVNemaSoCdBwpuL6/0999ithwsyaQAmQZck6/6CZBA4bp99ztn/vddeey3X5avLS/zow7d2ncP1pcd57/t+Rg5UKbUsHFknkkgwOZYiE3aQz54hZQbJZUMkk3P8oZYgbwcZCUn0ugatjkswnuDQkVGSe0xj2na/DM+aVrPJ1cuXKJeKBALBVyuP7IDXArPXo1QqUqs+5F30SrOvtGKSohD77h+Q+P0/Rku9SPf5J8czurS++oTiX/5rhLPX6KcfQWfo/aOEJ7KvVL7Np0YIuvkq+V9cwrP3nudUFIV3v/s+b5w4RegVCLkH0Om0uXjhAp9/+jGuu3dkilDQz1/8iz/h+OHJZ6QtgubWGl999iUfrXmEp47yj354lJnQw2e3HZfzV5b4V//732I/ov4HDBjw8qCM5Cb+5WPvLQRup40SiaEP5ZDUl3tJrHBsemtL1H7yH3Dq35BuQAicrok/E0Px669EWLmnRoDT6VH6YgG79WjnKSEE3U6XeCJBLBZD/gYv5W8b27ZZXVlh/vyXdDqPct7vOxBVam2Oz00QeEbP3jF7GJZEaHSK029MMpvUHpoX8TyPrUKNH//VR5Qqjae+5oABA14M+xNOwOt28CwLLZFCS6aQ5JezARWei1XM0/jNT+lcm3+sY5yuCZKELxFG0dWXPoj90+KaNo3ra7QWtx9r/263i+d5xBMJQqHQrgEjXgY816Wwnefi/Hk219e/cX8hoFJtomkq0+NDaNr+sl88jIQeDDM8Psqh8RTZ8MOiKYSgWu/w//16ns8vLDzNxQYMGPCC2bdwAnidFp7RRQlFUCOxl27kKRwbc2ud5qe/onXhM4T9TVlhv8ZpGSD1AyLIuvp6jjyFwOn0aN7eonFjA7F7vK9d6bTbOI5DMBQiEAjuHrv2W8S2bbbzW1y+dJGVpcVHmmjvRQD5Yg1VVUgnI/ifo9XBdT22Sw1+/dkVfvXpFayBiXbAgFeKJxJO4To49Uo/QbQQKKEISiD4UozQ3E6L7s0rND7+OZ2L5/C6j5fI+A7C9bDrHdyejaQqqH79tcrNKVyXXrFB8+YmzVtbuL3H71RA36zZqNdptVvIkkwwGETXX46MMu12i+XF21y6OM/K8hKmub+1kaZls75VpmOYBHw68WjwmacZM3oW1xc3+MXHl/n43HVanUHk7AEDXjWeSDihL552pYS1vYnXbe8ER3B21rPLfTPeCxBS4Tp4RgenWqK3ukjn0lc0Pv0V3esX9zXSvP+cHma1hdPp4dkuwnH7OfskqX9vL0EH4bERAs92cTo9zGqL7kaF5q0tWsvb+xpp3ovrutSqVeq1Gj2zh23buJ6LJNEP8PCCTLiu69LrGdRrdfJbm9y6eZMrly+yubH+2CPNBzEtm8XVbWqNDj3TxjRtPCGQZQlF2f+zd10Po2dSrjZZXi8yf3WZX316mXMXb2N+Q9CJAQMGvJzsy6t2z5MoCmo8hW9iGj07ghqJI/t2T9H1TBHgOTZuu4ldLmBurmEVNhH23t6z+0VSZHyJMHoighYJoPi0V2oEKjwP13Rw2gZmrY1VbeE9oWDuhqIoxOMJskNDxBMJgqEQmqo9/6UPom+W7XY71Go1ioVtGvX6Ewvmbvh0jamxLOO5NJlUlHDQ3x+BPu69CXAcl1anR6nSYG2zxNpWeWCaHTDgFeeZCOeAAQNePiRZJhwKkUpn8PsDg3WcLxDLNKlWKzQbDbw9ArNIkoTf7yeTHSIYfDmmul4phMAwupSKRQzD6FsFXxD7C/I+YMCAV4ZwOMzRY8d5482TxBN7p1Yb8OxptZrcuHaNyxfnqVZ3Xwrn8/k4cGiO02feJpVOv1pTQC8BQgiqlQoXvvqSmzevY3S/OWnEs+LVsTkOGDBgXwwPjwxE81siEoly5Ogxpqan99wnGo1x+sxZ0pnMQDSfAEmSSKXTnDp9hsQLfscHwjlgwGtKMBgaiOa3SDgSIRKN7bld03VS6cwLLNHrSTKVwufbK0/082EgnAMGvK4MBjHfPo94BpLEYKT5DPg26nAgnAMGDBgwYMA+eCbOQZIkoSgKuu5D01QURUWSX7+elPBEPzGyY2NZFq7jPFNPLlmSCfp8+HUdXdVQFeWVGTR4QuC4LqZjY5gmPdt6pnUjSRKarqNrOqqqIj/BmsoXhRACz3WxHQfbsrBt+4V6/D0OkqziD/rR73SdhcDzHCzTwnQESBrBsI56N3H4Dp6DYQlUTUFyLUzLwfEAWcXn09AkgSdAUlTU+7rlAtexsUwXSfehyy69ron9ULVIKLqOX1dRZKlfLqe/ntbxBLLuJ6CrKPeW23UwLRtbKPh8Groq31dm4bnYO9v9Ae1uKjjhebiOjWnZOEJC1vyE/crDx5omPQd0vx9ddjF7FrYrELKG36+hip3ru8/yGUuo/gBB/et7EZ6LY9v0LAdPyOh+Pz5N5v6m1sM2HYSkoCgC27Iwba9fr5qO36cgHAdbKAR8D7QvQuDaJl1XJexXcHodurus7JMUrf+sFRkZgbdTv5bj4ska/geegbi73UNSdfx+FeXB6zoWPVOg3ftO3t1m0+tZOC/RJ/TUwqmqKsFQiKGhYaamZxgeGSEWT+Dz+V7ahu1JEEJgmSaNRoPCdp6VlWUK+S3aOyHonpZIIEg2nuDsgcO8MTnDZHaYZDiCpr78js9CCHqWRbFZZzG/yfzyLa6sLlNuNjCs/UXv2Q3d5yMaiTI+Ocn4xCSZTJZIJIKqvVyhHu9g2zatZpNiscD66gob62u0Wi0s68kCcjx7FPzhNG+8c5LZsItpuQjPxTQa5JeXuL7eoqcOc+YHRxhWPRzb+zqvazfPxRXITWYJNhe5tJBnu+UiBdIcPDbDuK9Fw5QJZIZJay62c+dYi1Zxi8XFBr5DR5kLVJj/6Bqr91WJhKKHyR06wJGRKEGfAq5Dr1ViaWGVtUqP0PQxvnMwSVj2cD2BEB5Wq8zi7TXWrBgH5qY5lPUhHJc7Oua2K6ytbLMtZXnrVI6I62A5Hq5j0q6WWVpcZaMp0MeO8YdvpVEsC9PtW1mF26Vw6zrzay65Yyd4I9nh+oUFlisGbizHm29OkOyuc3lhk63G4+e//SYkSSF15G0+nPHhWjauAMcyqBfWublUpNxRGT9+kmO5MD7cfl0AiC75xRKmP85Q0mPr9iJX15q4coD02DTHD0YxS0U2nCxnD0WR7H4yeQBhmzQ3b/FFd5wfnohSOPdrPtp4YCmNrBEZnuDI9BDpiA9dAtdsU1hf4/ZGhUYgx7Fj08ymNDzHxRPgWR1Km+vcWuugDk1x6s1hQq7zdUfDNWkV15lf6DH97lscCLtYlrtzPx695jbXLt1mvenwTPsmT8ETt8qSJKFpGuMTk5w++zbjE5OvlVA+iCRJ+Px+sn4/2aEh3jhxkq3NDb469wXLS0vYTzjCUmSZcCDIn73/IX9y5j0CPt9zKP3zRZIkAj4fk5khJjNDfPjGKdbLRf7957/ll5cu0LXMPdeyPQpZltF9Pt48cZJTp88QiUSfQ+mfPZqmkUylSKZSHD5ylHqtxvmvznHtymUsy3qiunguCBeztsn5a0Ucf5SR6QkOnTyJan3G+Wr/W7aKK8wvNzDutK5ej0ZbR0nFORiJEvZXUVoGvmiISBDMapuWFSAQ71LMb3J7o0E/17uHY1vY+MntURxJ0UgcOMY7h0K01la4UujgBVJMzYxy4oSM/cUSXQkQBvnb62zUDLzIEDNTWaYnunQLAhB0K9usreUpdsTObVoYPYngELhmh9LGKteLDqFklqnxMU6FFNwvl6gAwrUp3rjAxTLI/jiH3zzExOwoq1u32FjaJpccY3w0SqkrERrLkNK6bOWr1FrPTjTvf0ZtVi4usGnrRIfHODB5hNOq4LMbzf6IzqyzuLzJdr23IyouZtdEz6iEkymi4RARpUnT5ycYCeGzuxRqTexIBqvbpHD7Fsv1nZILD8cy8dJ7F0dLTPLW8QlidpXV26vUbJ306CjjBw8gCZebLQnwaJc2Wd8sUXVDZHMjjI+OYlnbFAS4vRaF9VVubPd2zuriWCaGiIDnYte3mL9WxJAk9Og4J45Pc+JAjcLFIsZLMux8IuGUJIlwJMIbb57gzROnCEciz7pcrwS50THi8QRXr1xi/sJ5mo3GvsRTlRUO5sb4r//knzI7kkOWXo8pZ0mSmMgM8S/+4I85Nj7N//mbn7FeLuLto276ruYZ3v/g+0xMTqG9pKPLxyGeSPD+B99ndHSMTz/5iEq5/HKYboWHZxlUimVaVMlXXcK/d5TJySyX633hdK0O1UqVluneIwxdytUOk/Ew8aCPgOISiYQIST0qzQ4NOUDWc+h12pRLFYy7B0ro0b28H2UULcHMZBy1fpsvLixRcwWCbcrCzw+OZBnPbLKiSoCD0axTKjTolD1CiTDTPh8+zUFG4FodmrUKhcY9dayECNI3GxqdBoV8E1FpULN13p/LMDm8QcUD8HCsLp22B7aPnuNhOSaOENjVNRa305weHiFnpMlk/djlJbZqHbrPrS9k067WKHYctrbrePoZjmcyZFZ7fQcV16Jdb1Aqte8zeytam7qRYjgcJBqU6fn8RCMqbqdMpWYjRwTCsTEaVQqlewqv6AT3FE6ZzMQwcbXD6vwCN0tdDA/Waw7KqRmGMjHyngwIXLNDrVJms9XEUoLEwzF0n45u9sOkGu0mpVIL755z+8MRQODZBsVCiZaQkCsSwwczTAUDKEhIiOfTQdknTyScoVCIt06f5cTJU+iv4AjpWRIMhTh56jS6z8dnn3xMq9l8rONkWebAyCj//X/yX5CMRF+Zucz9EPIH+N6xE0QCQf7nv/v3bFRKj31sMpXiD//o7zM0PPzCYt8+T3S9v9g9EAjys5/+v1Qr35Af9kUjBMKoUWrDcCREROr130lJRtFVdLHTILp9s2Cj0qA9FiES8xNsqMQiAWSzTqPVxYwB7Pg9aBoeIBC4rrf3ey5JoIaIBASd7Rotj7sNZKfapOMmCIR0+rNyErKioOk+YqkEybCO1zbo2RIB+mZOVdXx6f0re67HbpMpwnExa026IkwkHERpgqT4GXvrB+RO7RTLaXH7YoGG7eIh2FrKM5Ge5uBhP2pvm0v5Jo3uswvz+EiEQaVpYGf8RDQZs/+AUFUVXeunrvOEh+t6uO02jWaPoXSQSCRMVwkT1zxapQYVGzIAkoSsajv1tDOH+qjrSwFiQQ3FrFM13LsmXq/Vpm1YDIf8aJpApv8MNFUjEI2SiIcISDaNnoV557qKgqb3O8NCeNwXKVOS0TUNnywTyGZIaYJ2q40jXg7RhCcUzkNzhzl67PjvvGjeQdN1Dh6ao9Vs8tknHz/WMX5N5y/+4T8j9YqYH58UXVU5PjnDn33v9/kf/8OPH2ukJUkSH/zg98hks6+FaN5BURRGRnO8+933+dv/+Fcvx6jzPiTUvqXtLsGJN/mj8XvGmutX+fhannKzTqU9wnQ4QmRIIhoEs9qk2bZQYoAvxsTRk4wf2TnWarG9fJvza4/hD/DgI3/wZynKgbNvM7tzaru1zY2NKuVejEROITp6gLdzs7wNgEursM61a5vsmc5c5q5gCNdm+9oFLldcFCVAdvYQR948QrdzkVs1C7u9xe38EMmgQnMjT6nR2TFFvxikfr+BuzoTGubku0OcuPNze5srV5a4sdmm2WxhpBJEE0M4IozmdSnWGtiEARl/NMmRdz/kcP/OsXsNFs9f4OajCrDrvcrcv+5GITYxxzvjh/qH2B22V5fZ2G6iDidRQ0lmTr7D9E6hXaPF1sIVvtwGZA1/9iB/+A8OABKS5NIuLHPuZhXLe3m+l30L58zsLHNHjhIKh59HeV5ZgsEQB+cOU61UWLh545H7BnQf/+kPfsjMyOgLKt23S9Dn463Zg/zxmXf563OffOP+Z7/zDqNj46ivgGPUftE0nYmJKU6dPsP5L89928X5GklCCqbIhsHebtD0fAjA3L7F/HKT3s7wwu41aRoueC1K9TbjY2HGsn58kkGhZdCyIA5gtchvb3F7o9k3IXoOVq+LJe8xrSMEwmlS70oMJTMk1Colu99OhxMxwopNuWXiBAWIDuvX11ivtOmaJu1Oj57lQiIGeLSLm6yv5Sl2+3OejmnQMSQejEUgayrBVIywcCg2Ozti5GB1apTLHlCnrGWZzaTIxlWWGxa252AYPTxXp2dYOC/SW0UJkkoE0ew6HctDEYBR5uZq/us5TrdHu23g4NJqdaibcYYzSXTLQ3SrVOsOaAACq9Ng/fYtlhv9ehKeTbctILDH9YVBo23iJqOkwirFjonjghwNEQ5quIaBaSl4CNrba6yuFyl1LHqGQadr4cgRcoBrNNjaWLs7xyk8B6PTAcXXf0+qW3x5vYQdGeX08Qx2rUDF7Htrvyzsq2XSNI3pmVlGcr8bDf5+yWaHOHBojpXlpT09KGVJIh2N8Y/efv+1NM/uRSYa5w9PnuWXly/Q6e2dg9Lv93PyrdP4/S82EsiLJBgK8caJk1y9fGnfOUOfKZKM4gsyNDJEwhdhdHaaFE1uLpZxxI4Lj6ygqgraztuqKiFcs0XLdWhVGjRHxxlPhLALRRrtDuadt1qSUGQFTd1ZeCBkpLsjbBlFCxDPZnE9dpaUmFSrdZaXa0wfH+ftMy4LG22cUIbZmQRqe53VkomVE4CL0WhQLjXpeII7p707MJVAVmTuTIsrsg+3/2tkRSUYTZAbCxOMZ5ieiCAaGyzlLRgBUNFDcVIpF0XxkRmPo8sWna77dcP9QhtwjUg6TS4mExme5EBaobOyTbFrkoadepbRVKV//0qAoN/FcQ16rTaths1YJkvcrLFealK12RHO/m1I99STEDLBsKCDBJKCHkszdsf64Hl0GlXKG9vUhqeZPj6HFClRtXXSuRyjQYutlTqtToQsHo7ZplGrUGyJfqfo3luSZCRFQdPuvBsSMiEUs18qzzaoFsp0Sl2uphK8PXOYg1vnuFETr6ZX7dDwMMlUZg/zWX/oPzE9yfRQhIAm4RgtCpur3LhdovWCpgGeGGWYMx8eIl66wWc3KljBDDl/j1K1Rcd8vMJLkkQikWAkN8rqyvKu+/h0nXcPH0Pf09nFZGn+l/z4qwtcLjYw1RjTs2/zT947w1tDMQKvqNpKkkQyEuH07CF+c/XinvsdOHho7/BZkkZ8ZJwDk0MMxQNoOHTrRZaXN1gvtuk9R2dVOTXDO8ezkL/FtdUqdfPJv2BJkggGgkzPHuDGtavPsJT7LYiKnhjjrbM5hGvT7Va4+dUtLlccXK1/f770JG8l72n4RJPbn19nodCk02pQa40wHLdptTq02jawk9RcC5EenyY5Ku4uKzDqJdbW8liSgi+c5vCZZN8qLDzsXoELP7/K+uJlPpYOcnxijOOnVCS3R7O6wpc31yh0bPrjVdH/I74WzXtuilBqhLnE0NcWZ7PJ1lqBjS7IvhCZyTmS433HqEZplQsLqxRsCT99z96ho6f5vbtLNDoUFm5xo2JjfRttmBRh+uQbTCJwewbVpZtcWazQ7GmkAPxJpg/HmbxTEcKltnaLq7c2yLc7NNptWmYan9WlUW9ic8eoKqEHo0wceZPRO3Xo2vRq63y2BZKskT10gtTdzoLD5vynfLW1ypeXPI4eyJE7MMek7GK3G6xeW2ExX6cd/Nqi0H8+D38nij/M0NQc6Ulx99zdRpFb86V7jvVw3S4r15aY+N4ch49Nkf9shdq9S6O+RfYlnMlUmmhs9zk5PZpk4uAcR7ISrdIWa21BMJZmZPoQQcnhkxs1nl2WzOeAW+P2hauoVouerZAZnWDWV8Bod+je51H4aELhMJlsdm/hVDXenJrd8/jt+X/L//DT6xiZE/zwg2HixiqfXPkN/5spoX74NmeHw69suKegz8/RialHCuf45CSKouy6LTQyzfHDORKiRWGjSFsESGeyzB1SUFjm1naX59a2yXLfmUGVnkn2J03XGBsb/5aE06XXLjH/m19y5e69CDzPw3WcvtOHtcXnPy2hPHSvHo7l9M2vbovVK/Ns3pAQtoPtAsKmvHaLj7aWHjpWeC6O6yI2P2btgY1CuNiOwMOgcPsatZV+gAtJ7Cywt11cIagvXuYXq+DZzl3nlLsla2xx7VyRWw9fGNf1cIREYfvW19+PELiei2M7eELCWLvE3+TlB4IC9OvEcr5usLsbN/hVQcJzHJ5hatv7iywcSlc+5a9uSPf8ztsJrOHiCYfVS1+ydVV+yHLluTZ2/wHRyq/wZWkdBQ97Jw+sMJps3/iKv7794LGiv57XXX+4HhC4toXlCKziOherW1xR+g5jeB6O4+J4HsLa4PLn28jC2SnDPbhtCivX+PnmzQfaMIHwPGzbRf7tb7mCS29nCZPbXOeTn/XPZzovh2jCPoUzGokSDIYe3iD5CEcSDCdlOoU1Llzdou2B5i9SzKYIdCxkRSM2MsXx2SxxvwJmm+2VW1xa6xA5cIqzIzalukoyGUSxSyznPZLZJPGAQ2FpkdtbBsGJAxxIq3hCQvYHCZp1ik0LEUoyEnapba2zsGUSGJvicMxg8fIC28SYPHyESSnP/NUmmZPHmHKKrIoE02kdp77B/IVVSm6cmTcPEi/fYlWe5MBogrge5R1/lIoaROsWWbi1xVY7wNTcFBPBNutL6yxXzPsept8fIBaL713hisJ0dmT3jV6B315YYNv3Bv/V73/I2WwUn3iLE2NXuW0nGQ5qdMs3+PWXn/Dz23lqXpjpQ2f40VsnecuX59dffM5P8jaZuMT6Ro3AyAG+M+Hj2vkLrCvjfPD9H/EPszX+5q/+DX8jHeFDeZXfbhmExn/Af/MP3mFGr/HVr/+WH19dIW8HmT78A/6z7x5jtvMV/9NPr+OlY7iNIisVh5EjH/CnJ9I0rn/MT7dCnDn7AX8yaTF/4WP++rrJzNt/n38+d/98ll/TmUgPPfIdy2SyKLtZNOQwQ8NJ4kqL1RvLLBaaWEIhX0qRDAi6XRctHGd8fJzpkRhBpT/CWV3ZYNPwM3rgALMRk3LbRzalYDaKLJd9zEyn8LkNbs1f5XbTz4G3TzOn1Nn2AqTDOnQKXL+6SuG+VkQjPjrK7OQQmZCC066wurxJ2Y0yPjVM2NhmcbWJnJ3k0JBEZfk21/LGvT43qIpKKv2IBXPPGeG5WD2XPUMyCBez902qIHBsC8e+/3euY+M6j+omm4/w3uxHCurtsYPnWHtuw3OxLfeRHfS9yyUQjoXxGL5LwrX5xqp5Bni2uWvknp1S4FjWo71gAc91sNwH9hIerm1hPKKiHlkPXj9Awe7FcrH2tNA9xrvx4NTFY72HL559DV58fj+6ru9yFg3d58cv27SbdZqmjW3bGO0m+bV1lis2UiTHsSOjJKwCly4tsNyLMH3sMAdjCqruJxRLEvcKrJQN1GiOuZxKrVCj6QXJ5dLEQzqqphFKxPDZHRrVNk5kiPGUH7lTpdTzkRrKMJTQUH1+Qn4dTQZJktEDAUJ+FUWS8AVDRDNx9NIylzYtQsNTHBjWUWQFPeDHr8nUNrYodkyM2ibXltZYKdtokQSpkJ9QLEoiEUBxLAzDeqgHpGka/sBes+v9gAeJ8B4OEnaRlYqJf2iW2ViMmM9HwB9mcvYk35ubYlTf5qPPf83P1hUOn/p7/PmpHM7qF/z1/FVudVwMo8xyuY0ITfH+VICtaxf5zZLL8ZMnyXVu84sL19h0PIxmicJGlcjb/5T/9v0Rqlf/jv/jcpPO1iV+sWoy/vaf8RffGaFy4xN+sVanZlo0G+tc2ILJubO8MyyxunCJC9s2kWgIWpvcyOfZrpdY29yiRIBcJvjQ7amKQjz0aKeyUDiCtJtwKkHCQQ3Ra9HodDEsB9s2aZQLrG2W+s9/ZIKZkQBmaZ3ry2W6wSFmZ8bIhRVUf4hoyI9ubLPSUEgNj3EgZXJ7sYoXy3J4MoEigeYPEE6FEVu3uLhUx4vnmB2PEfB9PQpWk8PMTGUIdwvcvLrKthVmZDRDlA6VpoWeyjF3dJrpXBjJqLFVNXnQiiwrMqFvqIsBAwa8nOxLOCVJ2iM6kIQkyUh4eO7Xw2khBI5tYwsZLZEkHRDUttbJF8usbNSx/QmyY3+N2QAAIABJREFUKR1Z9gCT+naNfL5B25WxO3Wq5SLltoOs6ag7sQ8l26BVr7JVbtI2bWyzS2W7SqVp4mk6Pn13M99OifqOCEaNjXyV/EadjuwjGFTvMb8J7F4P2/XwbJN2x6C4XaPp+ojGQgxnwoQVi3qjTaP3sOFg7zr6ml1HVACSi+OBrCqo0tcO3ormI6BrqM08C4UGbmqG4wff4LtzBzgYE5SLJdYaDpKkEI5mmJ49wpGxIbIBBS01zbsT0xxNyLTqTZpISLKKlpjh7Ykch44e46BU49J6HkkPE1ObLFz4KT+ev8VqdZvNlt0PPyYpZEdmODz1Jm+PpYm7XWqGR2p0nIMxQaWwxRcrJdbaHvGRKQ7HH34OkiQhf0PdyHvGOJaQZfqL9u9xNvBcF9t2cH0BwvEQut2mnM+zvl2hWLfRwhHiEQWBg212KW1WKZQ7mMjY9QKFYpmaqRIK+ZHunLXXoFBpU94s07BlIrEgvruxNyWC0QixcIR0boIjR6aZHoqTigQJqg7lfJHtlkQ8myTs1llfKVI3d5t8lV7LeM4DBvwusC9TrW3bOLb9cIxQ4eyE0woTDAXxSy26AhQ9QCKbJSZ1qCvKjp3d7geFtmw8ZNQ78xHCwbRcbBw84WFbFo7dD+wsuEeM3P6chGl7OJ6L67jYpoPieHg7Ag6ABNLOz7LEPZ5wAmyLnu3i2v0YkLKkcN86pK+VHwHYjTKVZprJSJpRXwDJrFFvdnZ1RnF3AnvvhScE7Z5BdDeTt5JgJCrzeaVA2Z4jh44K1NYvcaUdYFxqYbgusqbj030EZB8BXcYz+3EfJfphEIPBID7DT1BTEXqQkOrh12Xoiv4coCSBpuNTJRSfHwWB6VosXvqUTwtBvv8HH3LGvcC/+smNO34YIKkEgwECPj8h3YdPlvCEQI1PcmjkBgsri3x2UyPoRpkdmyC9S9/A9Tw6Zu/hDffQM3r4/YGHOx+eSc/0kMNBgpqGiomNRCCeIh1WsSU/uiyD5+I4No6zEydVlvvBwtkJYm65OI6DKzxs08R1/diC+0XM87Bdged4/fdDlvk61LmELMvIwqS6scFyvk7bo2/mM0wc3Y+LjKpp6HLfJLqbbHqeh9l7dF08NS/LhNDvMo94BmLHwel1DlX6Ivg21kPva8TZ6bTp7faxeybtdoNSWyE6PM6R2RxjI8NMzx7gjUOjjMV0vFaHjtBJZNPEAgEyQ3ECnkGtYT8Qik3c83eP907svHQPHNL33hMIx0PW/MSSMcKRJOnQLi+m2PPsd5E1HZ+mIHtdCpUWlj9GKqbitFo0W9auDaJpmrRarT3P6bru3hF0lGHePTZJuHqev/zkS357a5HzV37Fv/nlT/i/L6+ypUTJhjQ65XVWi1ssb+ZZqTgEIgmGIv0+UD/HH/f8X+Ih7wHXxi4t8vl2g+3FBRZMlVwqSbVapGyqpNJJPKOL7VjYloPnCfpWhf6p7vvQlSizuRxZqcLVlQKd0ChHctFde2SWbZOvPTpiTq1a2T2Wq9emUGrSUeJMTI8xO5FlbHyCuYMzHJ5MkVA8TMMCf4h4Ik4iGiYR8yGZPdr3RHYR9/yzZxySQIyheJDoUIKYT8YyDBzPvXuGXrdHz5VQNXBF35s8kwoT8PlIplJkQy71UoWGHCWXSxPbpTJc16Veqz2yLp6WbrdNvVZ9rtcYsDetVpNms7HndsuyKJceP5rWgN2pVsrPvxP6APsacdaqVVqt5i6xaT3MZpWNpTW0qWGyU9Nk6cck7DUKLG9U6fTaLKwEmBua5WxUIGkSpaVbLNUclGfoIyGsHh2jRm14lNyBWQItG6dva+SxLWOiR6Np4OaGmJvuYVh5qpUGzbE0SbNLo9GhtUe4kE63Q6VS3vPUluNwfX2Vo+NTu2z1MX3i7/Gfmx/x86Vz/HjlHEKW0EM5zh6eZSqXYvhUi9aF6/z6l/+W3wjQ4gf5/rE55sJ1io95e8gSnu6y9sm/4xebWxhj7/HPj2c4XHiT2bXr/N1P/iOHJoY5nl3n4rXPmfdrNL291kUrxIZGmU5EiWw5JIcnOBTevT/WtUxubW08smibmxuMTeziWSscmlur3NI8poYTTB1KIQnw7C6VfJliqYHd9Qj4RxiaPkzSA5wWW+tb5NsS2cetGwBbEJ44yKlImJBVZWWrhSEid7tyVq3IxlaQ6eEcR44P4zldSpsttHCKkZEYerfC4noTOTPGgewIE8021zY793n8OrZNPr+1n1Ltm3w+z8X5C7x54hSJZPK5XmvA/bSaTa5fu8LK0tKe+zSbDb489zlnzn6HdCYzGHnuEyEE1XKZr746R+0FdxD3JZzFQoFarbZrAATPMWmWtlgwGmz5NVSZvnec0aXVNnGw2Fq8TbfoR1ckhGtjtJo0LA91bYHPKoJ218ahxLX5LnKvTdtysZYWMFSHVsvAM5aZL0v02l1M12b5epstt0fTtJG2lrlUA7PdpuOaXLEaBNWdHIDeFj6pR8206F6+SMlr00MgekUufd6FdhfHtlg4fwm918SwbKzlW3xZ1FEdg64n4w8F8GvQrdWotbp7htlqNhpsb23uWYc92+KLhev86bsf7Pqh6NEJ3jv7Q8ZmqtR6Dq6sEwonGE8nSfg1xPQZ/kl0ku2mgSXpRKJpxlIJInKIt878iJztZyTqJ+w/xZ/9aBbiKXxhwen3/pSMHWVMMrgpKWixKd4/NcyJwx56eJgjaR/ByA/4LwNHqTsKsVSWyKFZ3u+qDKV0pjLH0WI5cn5Qpt/hz2MmvkSGiGvSbNSotCzi2XEOT+aI7mHHaHU7nF9ceOQ7tnT7FqfPfmdXJzS312J7bYV2xU9AU5HpZ3PodLp0TQdhFlk0OxSCGgoC1+rRbncxXAVn4QYt2aJuW9iVNc5/uY3V8HCdFsvz85Tc5teLq60W2+tVbAlcu0uzbmDIea5erIHRpNV1aK8u0a748asSwjZptw1Mulh2hw3boNG2kbsmnZKK033YOmGaJivLezeqz4JOu831q1cobOf3Xhs74LlgWRb1Wo1Wa+/Y1ZZpsnjrFo16jUDgYWe6Ad+MYRhUyuXdLaHPEenU6e8+toFYlmWOv3mCs2+/8zvUg5VJTMxwYDxLSmmxsbTG0naD7i7u2s1Gg/NfnuP8V+f2TB0lAfFwhP/uH/8Z3zl09PkW/SFc2o1V/t2P/xf+MvTP+Nd/fpbEU53Po7B0jp989RmfN+McPf4u//jUQXL6wx2CZrfDTy6c43/92d/guHu7lyuKwg//6EfMHT764jOiSAGOfPA93pSW+Pmny1TN3ecnnxbT7HHt6hV+9fOf4T6iLgYMGPByoozkJv7l4+4shKDb6RIIBkil069lLNHdkCQZ12hRLpbIVzt0H05bj2WZLN5e4NL8PL1HhJQDcByXQqPGqemDhPx7L1159khIskY0NsTcxDQHk0Ee5YP8OAjPRQmkmJk+ytvTY+SC6kMT55Zjc3Vthf/rtz+j1m4/+nxC0GjUyY2OEgyFXrD5qh/XtFqpUW2ZzyXjvOu65Le2+Ozj39Lp7Bl2fMCAAS8x+xJO6AuEZVmEwxFisfhrlb1iL5xel2azRaNjYu0SLNF1XTbX17k4f55iofCN5/OEoNZq4QnB4fFJdPVFjawkFMVHMj3KzDMQTZDwBeOMZHNMp+LEfQ+Lpuu5rBS2+X8++w2XVx/PNNntdHA9j0w2i9/vf4HiKei1W9Tbz0c0Pc+jVq3w1bkvWFtbffYXGDBgwAth38IJYPQMjG4X3ecjHA7/zow8d8MyTdbXVrg4f4GN9fU9TbQPIhBsVcs4rstIMk3I9yIF4sVg2jYLW+v8x3Of8PnCdewHI5g8gmazgWM7hCMR/IHAK99BcxyHYmGbixfOc/vWwsBEO2DAK8wTCafnebQ7beq1Go5jEwwGfycntxv1OjdvXOfSxQtsbmxg2/uLxtuzLdZKBcrNBgFdJxON7x0c4RWj2m7y6c2r/PW5T/jq9k2637B+80Fcx6Feq9JsNpAVhXA48sp20LrdLku3bzF/4TzLS4vfbkaUAQMGPDX7cg7ajUg0yuTkFLmxMVKpNNFojEAg8HCQhNcAx3EwDINWs0G1UmFrc4O11VXq9adfj/fm1CxvzRxiZjhHLpkiGYkS9PlfCSEVQuC4Lq2eQblZZ6Nc4ubmGheWbrFcyD/1+YdHRpiYnGZoeJhEMkk4HMHn8+0ZDP7bxnVdzF6PVqtFrVZlO7/F2urKY5nxBwwY8PLz1MIJfW/bUChMOpMhFosRCIbQNJWHV96/yggcx6Hb7dJsNKiUS7Rarcc2zT4OPk1jKjvMaCpDOhoj5POjyMrLX41CYDkuLaNDsVFnrVRgu1bdl2n2m1BVlUQiSTKVIhKJ4vP7X2LhdOgZPZqtJtVKmXqt9q2YZmVZJhaPk8uN9uPivuzv0YBXHwHdbod8fotatfpM28eXiWcinAMGDHj5SCSSvHHiBEeOHicS3T0d4IABz5p2q8XNG9e4dHGeSnnvYDCvMi+/HXDAgAFPRHZoaCCaA1444UiEucNHGRnJfdtFeW4MhHPAgNcUvz8wEM0B3wrhSGT33M2vCQPhHDDgdWUwpzng2+Q1fv8GwjlgwIABAwbsg4FwDhgwYMCAAfvgmawoVxQFn99PIBBA1/vr616mKDie10+gbZo9jG4X6xGJpveLoij4AwEC/gCarqOoyj1Jj188ruti2xa9Xo+eYew7KMOj0DQNfyCA3+9H0/SXYDmI6Cestix6PYNer4fjPLslMK8vErKqEY5GCNz3CAVYXcqmRiKi4rQbNHse3kN+9xK+UJhwQEO2DZqdHubdGIUSiqbjD/j6GWzkfnpBy+zRNSxsT0JRdQKhAH5NRpHAcx2sXpdW10X4w6QjKnarTqPXz5iqhqLEAxJms42lBgkHJKx2F0v2Ewzo6Mqd783DtS26Ro+eq+APBgj7VCQEQgg818Hs9ej2bDxZxR+KEPXdO3bo72e26zR6EnooRHgn0xNC4NomnXYP4Q8TDqioD7ZxroXhgKzIYPXoORJ6IIBf6i9ja5su8s69+7wejZaJC8iKRjAaIagInG6TquGh+COkw7ushRc27a7A71fwzA4tw8ZFxRfwE/RpqP0KxTJNjJ6J6YDmDxAK+VHdfiYhwwZV8xEK+5DMDo2ui6So+IMBgrqKItNP+t4zaHdsXBRC8SghTb6/ZXMM6q0epvN6Ljl5FE8lnLIsEwj0A76PjU+QGx0jmUoTCoVegka1jxACy7JoNhoUC9usr6+yubFBu9V6KlFRFIVAIEg6k+nfe26URCpFMBj81u7d8zx6vR71Wo3C9hbr62sU8tt0Ou2nEhRVVQmGQgwPjzA2PsHwSI54IoHf7/9WQ+G5rovR7VKtVsnnN9lYW6NUKmJ0u4OQdo9ExhdMcvjMSWaCFl3D7meBEQJRWeIXxWHeP5OgdvEjPls1MR+sSsnP8MEjHJ9I4q8vc/7aKqvlHh4ga34SwzmmxzNkwjqKDLgWzUqB5aVNttoS4ewohw+OkNAlZEkC4dItrjB/vUhn6BDfP5ug+MWv+HjDwfVkohOHef+gytoXlygkDnFiRqM4f4PtwDiHDwyRUF1Mu59z1zObbK6usdTUGZmZ5XjOj2taWK6Ha/VolLdZXilQJ8zY0ZOczimYHZM7LYHn2mxf/YIL5QiThw8zk9BRJAGSgmRWuX1tiU5qhgMjEcJ+jYBfQ3YtepaL2y6zafiIxINIhRVWahrZQweY9jVZubXAxeUGciTBzOFZRqx1Pj2/Tkso6KEkc2dOcShkU1+6wM+uNFCGpjhzKIYkqQTCfhSnR9d08ZwaC2sKMzNx7PVLnF9qYgYyTE+NkEuG8CsyQjh0GyXWVrfYKFtEhsY5fnyKmJHn1rUFbmy7hOLDHDs+ipa/yse3ugTTIxyczTEU1lAkgeu5GNVNFm5uku/4mT5xhqMJgdmzcMVOJ6mxybmrmxRb5l4p4V9bnlg4VVUllU5zaO4Ic4ePEE88XYKq54UkSfh8PjLZLJlslsNHj7GxvsbF+Qusrax8YyaT3dA0jXQmy+EjRzk4N0c0GnsOJd8/siwTDAYJBoPkRkc5cvQ4y8tLXL18ia2tTawnCPWm+3zkcqMce+NNpqdn8AdeZDaXR6MoCuFIhHAkwsTkJEePHef2wgLXr12lVCw809H2a4lwserbzF/JY9xp+ewOVmzokYfJwQSpiI6KhxqOkggFKFZ7dDyZYHqY2ZlRhuQWm8vrlHsy4VSGXDLD2EiX5oZFZnyMnL/D7SuLbPR8JCcmmI1nyIZKLN+5iNQXVSFL32C96lFa22St0MIKppmYHCI3mqFNFxD0GhU2VtYp2AFSQ8NMjk8RVFwuLvcAD7vb5Pb8Ett3+5UuvbZATk9ybDKGuXSFL1fbSJERDs0kSCf9FAtLXCwq6NFhjh4aJtBcZ3GjSrVtoSTHCcXvSaAgBHIgRDKTYaTY4qHYUYqKL5wiGxbYtiCUyZJSahQKy3zRUkFJ88Z3ZojX17l4q0bXNjH8k0zcqSZfnOmD08zEPKr5dW7XTORohonREQ7NgGdv0gaEJ+ELRckMZ9iqbN+TLk9BDyeZOTLLlK/JyuIK2x0IpnMcmpnjjGzxsws7GY2MMjeubFI3nb4VwjGod63fOdGEJxROVVUZHR3jzHfeYXpm9lmX6bmiKAqTU9OMT0zy0W9+xaX5C/tKgqqqKhMTk5x95z3GxsefY0mfHn8gwJGjx8iNjvLZxx9x88b1fZmpdV3n0Nxh3n3vfWLx+HMs6bMhEoly6vQZhkdG+PzTT1hZWcYZiOfeCA/PNqhVa7Tuaf2UR65gkQim4sT9LrVCjWBUIxYLECrW6ZhB4vEYcV+P7cU1ri5W6AFqucJ2LIxmtrCkABICzwM8D7vXIr9wjbzbo2OBHu1fQw3FSSVdXAGRgIYs7WUOdDHbLSrlCi1FEIxHicc1fJqKi8BzDDqNCvkqVFsmrj7HwWSaodIGFgLXNWnVapTu/SwkCUUWCM/DEwLhuXRLG8xXV+h1LRyvb0KWiWM6HprZoV6vUWpDJOzeLyS2idGVEIE4I8MxGtX7S6/qOtFsjIDVZHXTZmw8SS4usV1qUTIANYglBJ7VpVqt07Jc5GEPj77Tqp7KkIlqGIUFFhYLlLoeKG0cSeXoaJxUvIntgGf2MBwPPZZiIlNnbaejIKk6/liK0YhDdWGBC7ebeEjIxSZe7D2+kxsld20BWQJci0atTtmwuWuE+F1UTZ5AOGVZZiSX4+w77zI1PfM8yvRCkGWZ733/QxBw4cJX2I8hKLIsMz4xydvvvsfo2MstmvcSi8V57/0P8ITg+tWreN43mzFlWeHgoTnee/97L82I+nEZyY3yznvfRQjB8tLiaxv26+nZmeuMhJB2GkBh9zAeNcCT/GSSUQJel8WtOj6RYyQaJRyqUrI1fLqG5PTo9AwsZBRNRZcFZquF4bo4wqC0XaaZGOHA6dNMGR0ajQbbW1ssl+5Yf1QyB9/kvZ0+uayoaMpeeVxlVJ+PUDiMHkuQiup4vSpd00K/b7/+lE2rbUHYTyAgYwGyrOIPhYj6+nu5no3ZtXFKmyyWE8yOH+N7uR6ddotKqcjqeplq12aX7IJ7YNFsGDSdAKnsEMNW/Z55QgVNDzOU9OPU11lbcwmPzTI0EkcpVXmMr5SgX0dTLVpNE9Pcec/dLp1uD0Mk0H0autf/XaPVpq3HyeSGaOd3lFNRUINBNNem1WzvjEQFQvSo1LuIoQDRIDgSIKuEwkF6qoMHCMfC6Dk4D0+Cv/bsWzgj0ShvnDj1SovmHSRJ4oMPf49iscja6so3CkosnuDkW6dfKdG8QyQa5d3vvk+5VKKw/c2B1zPZLO989/1XTjTvMDyS460zZ6nValQrr2fYr6dG1vClpvju9yf6Awfh0Vu/xM8qex8iBZIkYz4wKxhmC9OwyMUiJMJBthseQgiQJWRZQpKDZMemeOONYWKKhFUvcPPiFRY2F/mkXiKbSZBOxMikJ3hzJE34yy+5DIBLefEyNysCT0BodI43xvZqnIPk5o4ydNBDCLA7ZZY3SxSaAcazD5RdkpD63kp4ngBUfOEh3vhemmM79++aJS784jJrdp3rn39JIZskk4yTSqWYODzESPgKH10rUOs+/hy6225SaZgEDqTI5WQad5RT0fBFkqSCgk6xQdeVaHQlMtksKaVK8TEu4QkBQkKSJb62aO/UvyQQ4s6g0KPbbJD3NJLjaca9en9eVwiEJxCSjCzf22PqnwPRfwYIIDTMW+9m7zqLWYUFPruap9y2f+cGnvsSTkmSmJ6ZZXRsbI/tMrIiI0s7D1EIPM/Ddb3nUrHSznWE6L8gT8rb77xDYXsLw9h7vlOSJA7NzTE0NLzH9t3u3cV1xXO6d3nnw3j8ew8GQ5w6fYaf/N3fPHIUJssyp9463Q8Mvtu1ZRlF/vpDE56H53l43iPuVZKQFQVVEji22zcHKRK4Hs9rPJjOZDh85AiffvxRv0EfcD/Cxqxtcv5qgU5fOXGNNk7iTsdQRpZl5J1tQkAwnSTh1wgFp3k7PUW/gbWxogEipRq9noUrB4mEwwSVKrXCCl9ZTXK5HONhCUUPkkiHCXptNpcW2ZA1AqkZ3n8nRyoZgjaAh92ski/0nYOSCQtP7NVUGWwvbbC6XadtWnS7JobtQvTOXLzU/zZlCAb9pGIantWg2RFIuFjdJgsXlynesegLk6YroUfTjMShkc9zM7+JUGIceecUc9EoIbVCE/exv+v/n733bI4jSxP1nnTlvUNVwVuCnm1nZmd3dnZ0Jd2NkCKkCIX0QaH/cv+IIvRBCulKV1LoXkmrWDOzO7anm66bTRIg4YGCK2/SO30ogATJAkh0k03T9XwhkXky85yTWec95z2v8XyTZruH2EpxuZwjpDvYJkiBAPFchlQwiD93g389BwICgp9hLCVwWH/ZEzzUno5up4mnokRrHXpdF5Q4iViYsG/Q1A10/yjlo63Safkc5meZK+ZRTQ/ddbF7PTRhhGQuQ3C/ju0LSEqUYjaCbx7S7PkkALQDvn2wS8N08XzwTI2O7vzohCacU3CmUinGJyZJJgfsdwkS4WSO6blppkdihBUBR+tyUNngwaMDWvbr7l6BSCpHOgJGs0pN++53mpicYnRsnPW11VOtMTPZLBMTk8Ti8QFVkYlmR5iZmWCyECUkCdhai92tTZZXq7Sd1912kWi2QFqx6LUaNF/RvikQCDA5NcVIscje7u6p5UaKRSampggEAi+eFAOky+PMT5copcIogofeqbKxtsV6pYU6sPsElEiS8cuXuRZvcftfHrIrxRmfSaCubD8dtF4z0WiMickpHi0vUatW38xD3md8H88yqFcbz+5xpgAkAskco66D7QG+h9bWSBVihP02K/e22W3puHKSqdkJCsk4sWidnUaTaiHF9OQ0UjDKYddFjqXIpoJg9hCCSSZmF5mS22ytVqhaEvFCkpDvUNXOl7O1j4vV69Kst2if+Pb6UzoRKRghmRthOh0jO1JgNGpTXTtgT4MygCCgKAFCx9Y8voSYtNFLs3yyGKG3ucrKgYYTylCMirgdHd19usf4yrVUuzQOGjRLc0wkdGodiWAwykhGwaxtcvf+Hj0kAtEi166PURxLItRbLxVKTuOQvWaGxeIUl6QI6YaJmMwyWojhVDep1bs4mcxR6f6qc3e/RbkwRkrooLsWZvuAneYIVyYW+RnbbHcglh9lLuXRfLTBru0T8wHXpllvUdXsNzbZfV84l+DMjxRJn2I9G0hkmVxcZDHrUq+s8bDjEcsWmZy6wGeCzT9/W8eGExZyz66U+ivHE3/zdN/5+P/9a4+uE6NkRspMpQz29To1zQPhqKx/9FE/f8+jhwz6GGdm59jZ3jpVcJZKo8RPUVuGMiPMXphnNmFR3VplTxVI5IuMz8wTFmz+uNQ8X9tP/D2w7VKMQnmU0UCTLb1JS/cHtJWBK1FFCTA9PXum4JyaniUQCA48Fy1Nc3lxlKzfZmdlm5YbplAqMDcvIfsrfLvdxR3wLp9BlAnlxrk0E2Jl60hwCgLCiXdz8l0JTzphwPvk7BV3LBanPDo2FJwv8FSNN6j7fARyM5fJPdmRcdh7VEHKBPA6u+wd1jno2PjoyIk0qfE4qUiE3Y09Hj90cWYnmB6foySDo/doHG7x7XqFnQ5ETIXg4iRTV6+zIPpYWpu9lSW+3jJh7EiL8nx9Thw7ft/+0f/PEi7hZJ65ZB7fczA6DbYebbK80cAOpwCRQDjLhU+zTy/wXDqrt/n/7t/jTmCRC2PzfDYt4TsWvfoe95b26er20efoD+i/p0eeOe5bdFoNtittilMBEAMEYhGyQYvWWoXtWhcXAantsDM1yuXCCFmhRf2o7c/c7Ohv3wecDusPlvHMCebGR7lcFvGNHoeVVZY3DjjsQjbDifIancYBW9U8V1KA72FqXVa/vg+Ls8yNL/B5wMdUO1Qe3uXucguLKP6Rj+uQPudKK/aTn/4Fn3z2OZHoc8F7hRDZsUmuXSog7K/x53u7aD7IgTDpQo6oUWO3aRMZm+fjCyUyERmMDjuPH3BrrUfu2s/46UiHu39cYkuLcuGnV5j0Kty6Xyc0fYHFpIvqykQSMWJui7VH++jhHFPzJTIK6LV9Djs6JAuk0en4AaK2ihWP4W7e53fLGuHMJD/9ySjixm1+/aDzwsb74eEh//u//Z9R1cFGCL/45a+4dv3Gi+4YQpiRmRmuziYxtte4vXyA7oMSjpLJpghqdfa7PsnxOa7Pj5AKSXhai63HD7m9ocLER/wXH4VZ/f2f+LbuU7zxcz7NNrn7ZQVl4RILYY2GFyKVihK2ajx6cICXLTM1XSAp+2iHh7RdUIIe1ZUVvtmFwsQ0V2dDtFcecHNDfWZ26DgOWxsb/B//7t+e+p7/y//qv2ZyahpZfm5eJcayd6EZAAAgAElEQVSZuX6RSzmXzYerPKq0sRAIJ9NkYjKO7hMqjDE/4rL38D4P1QTjCwtciXdYvr+LO3OZaymNpQcmM59PkBLBtdo8/MMS4sefM9f9lv/n5h56dIq/+YtJWLvJLbXEJxezoHpEYh77D1fZtmKUZyeYzEaQrTbbq2s82qrSGmDfZRgG9+/d4zf/9PentvdD5fpHH/Mf/6d/e+p5QeiH6vCeHxAFAXHAcupkMf+5WdqR0v6oTH+74sQ88WgP9Vj4DTp/dO3Rs5/Zgjg+5vnPXsTgiegz7TvZjpPPGXT+RNt8/+lE97iM759sw9N2PPN8YVD4kxef+Wx9n59In3wvR33Fyff04nOfqevxhOjpyefez9NnvNAf/dsP7isGfCtn8Nt//jVffvGnVy7/PnGuFWc4GiEYCr14QpQJBIIoWLS7XYyjvS7b1KjubFMTZAKpCa5dLhGprfLPX7ZJzF3n0ytX0Jpf0hSPNrePbicc+XAJRybocjyGtLXOo70Q5ckSxZEgS9uHbFXCEOmwubxOPVjmQiGIZHZorq6y7IbITyeYymTIBi28fIoEGo93uwOt1VKp1JnO/NFYjEBwwCpMDBAMBJF9A1XtPWm7pakc6CqCGCSam+DyQg7p8DH/sqmTmbvEtSuX0FpfsSQcb+QLIPggiEcfqYcgCEjJONLKKt/uJ5iZHqE8UufB3j470RAuh6w82qQRGuPCXIFEMk6ybRNNR1DMDrWa9oJKRZIkEqmzDX4SydTgIA5SiEhIwTPb9AwD2/fx8dHaDfQ2oCQZGzk5KApPBr0ng4lnYzS2uL2S4hdTNvd/+zVL3SjXnjNOEATxiQZBECOkQjVWVnbZ6oYYvzBKzt/n6y/ruJkJZkdKjOo63UrvhXcbCASIxQfv1f7YGbSyOzoxIFrQmTd6YdXl+88Lh1c8P+jZJ489c9HZlXzZ/v+rnH/hkc+WePHcaX36is98Uua5Zwzq31eu60tW8C8cG3CPU7+VHynnCvsiS/IpUXEE+tvaL6pZfN/HEyWUdIq0ZFPd2aHe7rC9XUOXYmSzQV4afMboUKu32Ntv01JtPFlCEH1c38P3XRzXwfEAx6TXrLG116LW6FGr9fCiGUbzIXLpMG7nkO3O4NcfCAQGzj6PUWT5VMH6dEb67I/a9318WSaYShIXTKq7u9RabXYqTQw5Ti4zYA/xJL6PYLQ4qLc42G/TNlxQJBA4MsZxcVybdqtLo+sSiCcZLURIRQS0dotD7cW2CoJAQDn7uYGAcrbTuf/MP/0f5qsaKfk+vu9gOf2R07FfZb/EpVPdpbJfpyuHiIVDZEem+eTTj/hsrkA+GSISDhIcUGVRFFHkAaHLhgwZMuQ7cq4Vp+u5eJ73ogDxbGzbxCZONBYjLHRRfZCDEbLlEmm/S03oC1bP78e+9DwPn/5q5NmB82jlcXIQ9lxc18Nz3SPhJALCkerk2XKeY2O7Pp6nozVqtEZnGC2VaEd9muuHdE4ZpW3bPnPgd9xT2u7bWKaFK8SJRqOEBBXNF1AiMfIjeaK+jiqebLtwZH36rDqs//++9d8z47/r4pxsu9Bv+9Png6d3aDe7WGMpRkci6KJJs95EHdBW3/dfGn7PsR18339ReLomuukgxiLEggECGJgIhNM5CqkQnub0PyhBOFo5gzxI58dJoXvioNDvW0mSEMWT34WHbT+1UPYFl2ZlneW1A6qaD3g4tsMg+zPP83DcYfzaIUOGvD7OJTh1Tcc0TcLP7/P5Jt1ui/1OgfnyJNdchf2uRyhdYKIYxd5fZX+vS9dPkSsVybQ7REezRDyVnaaBqTj4SoxsOkw7kSMXVlDU02rxVM9/HFBaCRzFxOSEsYDvoGsd9loO42N5RKPB0r5+qrqh027j+aevfTRVxbasF1XVnk6r3eZQyzA5NslVghxqAtFsgbGsgrq7xVKrhyYUyBULZDSTZDFF2O2x0bQgaOGQJp2LE3VilJMK8slF/WnWG8dtDypIXYt2p0vLzjOSD+AeVqg3BseP9DyPTqdzajsBup0OqXT6Re2C1+Ow2qacKTI+M4UUrtN2g2SKIxSCOpWNKh3bQVDCxJMZclKEQioEA61mvX4czqiCYlmYDojxJCPRJmYpTUQSUU/OD47eq6dpaKZHNhIhFIqQSqQpRBwae/tsN160yrRtG1U99WP6sPEZPAEaMuSH4APW7Z5LcLZbLdRe90XBiY/VqbP9eBVpZoyx8WkKooBrabQPNnm8WqVnt3nwOMSViTl+9peA57C79JjHTRfD3mVvZIrRi1eIN1rYr+LbZ+moPQ2nmGV62iGivviWXNOiXW3RHStAo0ZlgOrymIP9PVzndI/jZqOBpmsD9nh9jOYBmysCwlSZ8tQsRcHHNVUae1usbBzS9rssbwRZHF3gZwXwXZOdpRVWWz6eXGGtlmF2+io/Tddpmg6eLPRXnqeNd6ZGt6fDxAizUxamvc1OV6Xd0dDTClqrRc0Y3FbHcTg8ODsAwsHBPqVyeYBa3kPd22RZcpkZzzM6l2ESD1trs7e1y9ZeGzchUVWTTEzNEuoamLqOr4jPrK5918Nod2n7ZaavXUS/fZ+djV0mL+a58VmYw6qB6Sf7+5zPm1rodba3YkSmR5i/ksdzVGqVHVR9cMxMQ9d/tAEQer0uzUadTDb3tqsy5EdGs9mg02m/7Wq8Mc5lVZvL5/nLX/ySufmFgedFSSYQDBJUJCQBfK+f8kk3bVwE5EDfuEQWBXzPwTL6Ef99USESDRGUBDzHxhVlZM9C1R2EYIiw5GEaJqYjEowECQgupmHjSYF+dgLPwXE9kOR+uC/dwRclgvEUxfEZro6L7H59h9u7pwck/n//w//Fo+WlU9WYI8Uiv/zVv2J8YvKUtisEQoF+2+mn5bFNC8Ny8BCRAsGjtoPvuliGjmZ5+IJEKBohrAjg2lieTEB00FQLIRQmJLrouonlSYQiQRTfxjAdkIOEgjKia2E6HmKswMzMGGOhLmsPlnlUG+yY3Ot1+bv/+9+zubFx6nuemJzib/+z/5x4fFDQUgFJUQgGAwRkEZF+RgnTtDAtF2SFYChESAbP9XB9kAUPQ7fwg2HCkovWNXDkILFoABkXvadhCkFikQCy4GObDkJQAVNFdRUiIQUsHc10cH36qZlCQQJyP7OGZZoYR+eeZ7eyw2/+8R/Y2zvd/eZDJRKJsrC4yEcff0ommx2uPIe8cXzfp9Vs8vXd2zx8cB+1d1qoxPebc604W80mlZ1tisXSwEAAnutgaA6D3Zh9HFOnYw7w1vdstK7NwBgGmspTLwMPQz1xf0fHHnQ/BEKxFFMXFplJuHQqm6xWTxeae3u7Z/pwAtRrNSo722RzOSKR6AvnPdfGUO1T2u6d3nbfxeh1n7nuiWJR7Z047qH3bJ7cwdGwDACRxMgYs3MTlAIah9v7VFqDhaZt2+zu7Jzpwwmwv7fLbqXCzGwYRXnesMbv5zy0rcHvy7Gfrecz53o8yc9iG3RaJ1tt0Gmf+PtJFCeXrvVsr3qOhdqzeJkCVtc1Kjs7VGs/Th9OXddYfviA3Z0dlEHBLIYMeQPYtkWv2z0zEtv7zrkEp+M4bKyvUR4dYz5+4U3V6TXgY2tdKo+XaEoOpqbROSM6zZ2bN1FV9UwHX8dxWHn8mFJ5jMmpFwXn28NHa9dYf9ijgoWm6ain2MLomsY3X999aYYUy7L45uu7FEulwVGi3hPqtXpfi/AjzZDi+z66rn/QA9iQIW8DqVSe+DfnucA0TRzbJpFIEE+cmX/oreJ7fXWoqpkY9umxcm/f/JJ7975+pdyNhqHjuS7JVJpo7N3xDfQcG0PXUXWr7+YxAFXtcefWTR49WsZ7hSTPmqYiIJAr5AeH3nvHqdWq3L196yh4/489QNiQIUNeJ+cWnL7noaoqhq4Ti8ffaeF5Fp7ncefWTW7d/Aq113ulcFKe59HtdTFNk0Qi8U4Jz7Po9brcvXWLb7/9BuMVVx+e69Jqt3Bdl2w2Nzj4wztKrXrI7Vs3WXm8jGWdP3n3kCFDhpzFuQUngOs49Hpd2u02rucRjoQJvicDq+d57O/vcefWTb699zXtVutc1zuOQ7fTodNu4/s+kXDknV2RmabJ9tYWd2/f4tHS0rk36m3Lot1q0e11kSSJSCT6Yhi+dwhNVVlbXeHundusr60OVZRDhgx5I5zLqvZ5ZFkmkUxRLpcpj42RzxdIJFOEQqFTIgz98Pi+3/fl6/VoNhocHOyxvbXF4cEBhvHdB1ZZUUil0pRHRymPjpLLFUgkk4RCoTND971JPM/Dsvob8/V6jb3dCpWdHeq12vdaeQUCQbK5HKNjY5RKZbK5PLF4nEAg8NbaCv32GoZBt9OmVq2yu1tht1Kh1Wy8kup9yJAhQ74L30twHqMoCrF4nEQiSSQaJaAEEE6JGPM2cB0HwzDo9Xq02y201+gQHwgEiMf7+72RSAQlEHhrZv/HUYEMXafb7a+KDeO7pGoaTCgUIpFIEk8kCIXDyLL8Vl0cfN/Htmx0XaPTadPtdF5q+DRkyJAh35fXIjiHDBny7iGKIplslsmpaeLxOOfLIPnhYBg6u5UKu5WdU/20BUEgFA4zP79AOptlUI6T9wsfTdXY2dniYH//TFe7Iefn3d2wGjJkyPcinclw/cZHLFy4+N4Ysr0J+nv9mwiCwObG+sAyiqJw+cpVbnz0CalTcg6/b+i6Tm6twN3bN9mtVN52dT4o3t4G1ZAhQ94o+XzhRy80AYLBIOMTk8zMzp1aJhAIcP3Gxx+M0AQIh8NMz8wyNjbxtqvywTEUnEOGfKAEQ6EfvdA8JhgMEjujL0RRIp3J/IA1+mEIh8NEopG3XY0PjqHgHDJkyI+DswzZ3vctzTP5oBv3VhgKziFDhgwZMuQcvBbjIEEQ+q4KySSRSJRgMNj343zb2Rh88H0P27YxDJ1et0en036tFmaiKBIKh0kkEkQiUQKBwA/fdt9/4sOp6xrdThdV7b32UHOiKBKNxYjHE4TD4ad+nG/9PT9tv6ZpdLsdNFUdhtobMmTIG+F7C85wOEJhpECxVKZULpPJ5J44x78LeJ6Hruu0Wy2qhwfsVnbY39+jXvv+ORqj0SiFkRFK5VFGiiUy2SyxaOytZKJwHAdNVWk2Gxwc7LNXqXBwsE+n/Xpy4iWTKUaKI5TKY4wUi6TS6XcqkpBzlLC62WxwsL/P3m6//d2XJO3+cSIgKUGS2TTxk8lvfB/f7FCpanhykEQyRiyoIIn97D96r0dHtbB9mVg6QUJx6LZVeoaDLyhEEzESQR9dtbClIMmEgqeptFoqhi8TjERJxSSsXhdNSlBIBhDp++N6roOpqbQ7OpYvEErlyMdknnUH9zHaDZpOkGQiQlgRj5SQPp7rYmoqHdXAsF/3hEkmkcuQCPXTJT7BUqm1XZRYmFhIeXLO9/rZkLo9DdWRiSZixCQLVTVxAnGyceUZVZ/vuVhql7oTppgK4JtdDqv9rFBCJM1oWqRbbdKT4uTTYQKSgICP53rYpk63q6Fb7stzGA95bXznUU+SJBKJBNOzc1y+cpWRYul11uu1IYoi0WiUaDRKeXSUy1ev8nh5ma/v3ubw4OA7OcxLskwymWRufoFLl6+Sy+ffQM3PRz+KU5JEMsnk1DTdToelhw9YenCfeqP+nTOEKIpCJpvl4qUrLF68NDCd3LuArCgkUymSqRRT0zO0Wy2WHt5n6eEDmo3Gqf57P05EAuEUc9euMxMyaPfMo1ymPjTW2au7JMsTLE7lSCj9IV4QPfTGAWvru+x1ApRmFriY6PHw2zXWDAdXCJEfn+FiwaWyVqMTKXB1MY27v82Db9fY1IIkCxNcnQtSf/SIncgcP7mYxFW7qEefpqs12VzZYKNmkZi6yM9mApgdDcPz6YeS9mhs9NDtEhcvjpEPOBimg+MLSBJY3RrrqztsV1Ws1+mdLgQZXbzCpQyYmoF9XJ/uPqbjUJifYKYQxNNNTMdHkEQEq8fe1hZrbYWRmVkWoi1W1w7QMvN8Ph3F1lT0o3b7jknnYBvNneInNzIInW3+/PsltnQPMT/NZx8FWfntTR6Hx7l+o0TM19FMF9cXwFY53NlhfbdFx3RPTWYx5PXynQSnJEnkCwWuXr/BwsIi4cj7Y7UlywqLly5TKBb585/+yMqj5XMJT0mSKBaLXL/xMTNzc4RC4TdY2+9OPJHgxsefkC8UuH3zS7Y2N88tPGRFYWJyko8//Zzy6NiA3JzvLslUio8++YxcPs+dWzfZ2d4eCs/n8RyszgH3vtlFPx5xbQ0vWuLypWmy5h6rq4fUDQjnx1iYmGDR1dFWjFcyN/F8mXAsSbGY5GDj+QhWPo6lcbi6xKO2TDRdYG52jOtXbDp/WO/f39eoPFxmS3eeCHZb19GT/f/3DrdZrbRoWzLx8jhzo3nG8x3aLZXamwggZTRZWdqhrll4PuCadO0kOcDp1tjc2Ge/46AkCkxPjjBaytJ1X4wPbWkd9h4/Zq3VXyP6vofrungFH/DwQgXmJnbZf9TixU0lj87uOkv7Ok4gxcT0GJOzYBsmqwc9jOGy8wfhOwnOdDrDjY8+4cLFS+/VYHqMIAhkszl++at/hes4PH60/Mr7Ybl8nk8+/ZyZufl3Rk15GoqiMDExSSAQwHYctjc3z3V9uTzKz37+VxRGim81Ju13JRAIMDU9S0AJYjv/QmV7+21X6R3Dx7MN2q02vSdLFYHIfImRsMXugxWWKzqWC9QswomrzOVyJCuHvEokakvX8R2BeC5Pqb73YuJxz8HstalVPRrNDkYozS9nS4wlN+inWnfRuh2aXRsHOE5gJCYAPFxTpd1qUdMF9FCacj5CUJaQJQHexNrLs1A7HZpd84lA8+V+dijPNul1OtTrJoIVJJ3PkAwoyLL0nArVx3ctjF6bxpHgxAdfDhLDx/MMmnWf9NQEpZ0OL4Yt8HD0Lq1Gh67VpCdGiF1Ik0uF2W/0MIbJgH4Qzj3yB0MhFhYXmZ2ffy+F5kkikQg//8VfU60e0mw0XppaLBwOc+nyVSampt95oXmMKEkUCiN88unnNGo11FeM0xuNxfj085+QyxfeS6F5jCRJFEslPvroE5qNxmuNU/zeI4iIgTDZXIbw0YrOMzXkSAgJnVbL5sl80unS0Vy8RJCQLL2SPZir9+i1VMRUinLZYEc7vazne7Q7Ko6QIxo9vrlENJUiF3RxAc+z0Doa/cWkgByKk0o7CPEAmVycMCbtnoH+WvW0J5CCJNIp7JCN54Nva3TMfnA+UQkSSybJCS7hdJpMRMBoq6i6w/M6KVEOEEmmyfetF/v7x0ZfG+K7Do2tffxr01yYSlDVzgr+56P2NAwnRyQkI8sCmENl7Q/BuUZ/QRCYnpllfuEC4fD7o549i0wmy09/9nN+/Y9/f2ZAdEEQmL+wyPTsLKFQ6Aes4fdHVhRGR8e48fEn/PH3v3vpBEEQBD76+BPK5dH3ZoJwFkogwNjEBFevXefLL/70SrlXfxQIEsFUieuf5PurIs/D3H3I156Hj4gsi08HbUHqD8y+h+v5SD74Qt+gul9GeCJMn3Svb9FuNTGFODOZAqOSfaoQEOhvowi4OMfb8UKMiSuXKXl+f/3otXn81TKbAoBEvDjJ5dwYSAGCokVta52twxadNxWWNZzlwuUEjt+vj11d585a/2FKosD8YoZpJIKKgNncZblSparHeTZuj0ggmmDswhUKLvTVz202Hz5iG/B9F7u7z/LuKH81OcnounimWlyS+wZUnuv31cdDfhDONSqGQiEmJ6fIF0aeOyMgyTLBYAD5eHHi+7iug2XZ2C4Iokw4oiDYBqr5biniL16+wu1bX3F4cHCqyjYciTA9M0smk332hCgTCCiElKerMs91cWwby3bxRQk5ECAoepi6iX3qxy2iBCR828E9+mE+RUAJBglKfr8/HW+wIkoQkSQBER/nuTLhSISFxYt8c/cu3e7ZlqaxeJzFi5cJhZ+bK0sK4aCCIj0dIV3Xxbb7dUKSCQYVJM/BNPrqtReqKIjIwSAhycPQTu8PKRAiHABbt7DcU9p7DmKxOPMLi9z/9h69bvd73u0DwXcwWxXu3NtHPepgz1DppdsY0wXypTibRhfd9hHDeXIxGbQuXVNHsV08MUgkGCQcsLCUMOGgguCaOM5TyeVoHep2g0J6kuKIg+6dTOUnIEoSiiIhB6OUC1Ekq0Ot4+EXAF9l68EKu7p7tMdpo6oWTgDAo7O3yUqljZeeYK4cwjQsbOv7fyunoldZelihptm4PviWTtdOkQfszgEb6/vU/DTTkwVihn1kuPRCp2OpHfZXV9ns+PQtgm0MA4QjuzvPMzlY2+Zg9AILRQ1BPDkTEBBECVmWCQgK+UyMqGzSVC3MN7XSHvIC5xKcxy4Xg26TLExw5fo85ZCLbbt4roXaabC9vsnKgYkUKfPRX4wjr3/Nvzx6twYuQRCYnV+g0WhgmYM3CcqjoySTyRevjeWYWZzj6lgEHAfHdTG1HrW9CqsbVbpijNKFBS5G29z70yMqp82GpTjjCxnM9W0OtOd+cIJCYWaRxbTJ5uMtNqrqYKEUCJPOJkkIKjuVNs/bR4RCIaZnZ/nm7p0z+2Nmdo7AgMTkYnqC61cnmEjJ/cmB42B0W1S2dtjca2PHC8zOlcjohzz4dpvagDmIGAhTuHCZG5ku3/z2IdsD+0MkPrnITyZh69Yyay39tWigIpEIk1PT3L/3zfe/2YeA7+NZJs16i+7J/jV3WGtkWJi8wDXlkLomEC0UKIVtDpdrdLQOQrNLLz/C6NQ4ckzFDqcpZhSMww6tnkHg+Kfi23RbTfbqecrzaaLdY8EpIEgBYrkS02GFSDrPVNanvb3FVg9SAIgEQ2Fi4rGrRYggDlVJpL/H2aPdatBoiYQjc8wUC5S6Kt3dLtabmJu7Np1mh/qJPU6Ufsd5dn//86CpIgSCXJrKMVbu0t1/8TaCKBEIh4gfb3H6LqGgwZPprO/h93ZY2h7nF3NxFKF9YtUpEkzmGB1N4EUyjBUTyN0Kew0NdWj79oNxLsGZyWSJxxOnF3AMWnu7PNxoIybSjE4UWbwSRrK+4WHzkAe3uoi6xvEKVTlSBfm+h2M7OJ6PIMkokogoHqmFHAfH9UGSkCUJ6clxF8f1QJSQ5aPjR/5cjuPiISBJMrIkIgh+37fKPrbOe5GxsXHu3PzqBWFzTD5fIBo9Ldalj9GqsbO5w6ETJV8sMjkzR1TxuPmwweHqYzTJpuv1fzSKcuyf5uM7DpYnEiqMcWEqwUGjSsvSEUUJwfdBEPBdl/rOGnf3PXTVwBVEJEl62jbXxfEgkEgzOl4ibe7TrPZwnvPtUpQA5fLoSwXn6JkWtD7d/S02dpuocorR0RHmLigExFWWKg02l1R2PQtNlAkqAp7jHGkcJAKKCL5Ffe0RX207dNzj/pAQhf77810Hy/boVda53fDRuxa23/9eZElEFI6sEB0HxxOQ5BO+dYKIgIdz/M08RzAYpFgqDQUnPr7nYpsWxiD/P6fBw1vf4i5OMlEYIyt52FqHrQdbPN7toFoefmWDJcljdiJPaTKN4Jg0DzZZ2dhnvxdi1LExLRvXA1fr0djbYzsbJu/Z2K6P59g4fpTU+Bwp38cxuhysLvFg+RATEde2MMww+bkZTjp7GbvL3Kx52KaFb3t4Pnh6je1KnNjsCNlsikxLZb/3OiWnj2OZGEJfG/TsKRfHtjA9B8cDPI3DvUNSsRATqRQFo4dtW5img+N6uI6NKyXITc6TO76Ha6E1drlzaGMaXn8163scrG5QGZmnELCwPfBdG9O0SeXGmc+BZxt0als8XN1lv20MsMAd8qY4l+CMxWNnu574Lpbeo3pwgFZt0+j5fP5RidGxAht2kBs/nybw+CZ/v+wweuUK18ZihERw1AbL3zxkpeEQKc9yZa5ILiIjWG02lh+zsqchj0yyOFOmlAyA2WZ7bZ3HW228VIn5hQkm0kEk16Sxt8PSo21qfpzy7BwXx5OEcdBbBzy8t8xmd7DkzGZziNLptoLxeILgqXubPq6t0WtUqTSr1Noq1qVF5nIFxnI21sQlrsab3P7dYxrZKT6+MkY+LOG7Ju2tZb7YjvP5J6MkQyKJz67DnX3ilyaI9Fq44Qj6zjrdxBjliMHag3U21BDjsxPMlVNERIfO4Q6rNYtQfpKLYzGwgwj43P1mh+aJ8UOW5VcKZJ3JZPvRjwbi4RhdmvUq+70qDd3FXyyTzaQoui6JyTFyZoeDpkhxOkJ39T5frjvER6b49EYBf3eVVWWaT3Mdbv3TffZSU3x2fZxCRMb3bDrbj/jqQRV5coG/mIX1P93ncU+htDDDXDlNPCDgaE22Hq+zUhUpXZxjOg226aDEk4SsJpuP13iw9eKKW1YU0qkPL5D3+fEwelXu/K56aglXq/Hwdo2HpxbQOVhf5mB9ecBJi51H99h5WphOdYsvf7N1osxt/sPj0+tXu/8F//7+6S2obj37d3d3jS93106/4Pvgazz+8g8MrK5TZ+lmnaUTh9zuAQ9vH5zoux1Wj/+7e5PKGe36uydZz3xQd/jjP+ycOLvMP+8P6u8hPzTnMpcMBIKvbknr2thal6YpEoyGiR4fF0TEeIlLM0mMRzf5u1/f5mHdJ5qKIMVHubhYJtpd4Y+/v8U3DYXSeIlcNk8+E0XqbXP71kMeNSRyxTyFfIbcSJ6c1GHl9k1+e3eLmhsglk6TKIwxX1ZoP7rFP37xmGqwyOW5AqfF9AlHIghnmAoGQ6FXNJTxsUyLTtcAOUTkiYWggBwIUpwao+Du8cWv/8Bvvq1iRpMkjQ1uLrew7TaP/nib+3sqqgvRhEJjbZWl7TadY12lEKI8McZsQaK59pCvHuzRi+QoR0Hfq7BZ73KwucbNe5VnhCb0g0G8ilFXOBJ5RUvafrLcnu4hBYOEQkdtdXW0br9Hw6QAACAASURBVJuWqRBLJomFAoSzCcKOyuFB98kKR5BkijOTjIqH/PnXv+PXX++jBmPEg8KJiDEi6ak5LoxF0TYf8vsvltjQI4zNjlJKhRB8DyUsoTcOeLC0zSFxRopZ8gPmOJIkvbhvO2TIkCHn5I2bTErwrEuV7+MbKh1TYvLiR/xloUWtusfadgs3UyIdkEmNX+FXY0flTYOI1EAzHOSJCT4q9lWdbkdFxkM3bMTECAtXomRqNfb29tntCKSmYuRiSfJXf8KED/g2uhMjJh3QeNM6DUEAob8P81QP1lcjGz0LsTTO5z+JU63X2XtUYc90CR6V8/ynxg16a5/Ngzo1VSR8fB85SjQaRLBa1Jt1tg932VoHEEgUJyh44Hk+3g9lYieIPJl/PXmkh6qreD2HXCxFKWkTSAXxutvstT0ix+/W91C7Bv7YGJ//NEat0WBvrcK+5hE/vpcQIpMMEbBa7NXa1GsmYnaE4kSUWFjHEcDudWg26uzqKaIFm4QkI8lvyJdvyJAhP3rOJTgt08S2rFeLxSopKNEk6aCHWe3R43il4+OZ+3zxmz+zN1Egn0oxduE64+klfrcv4+Gwt3SXuxttOma/vFyY4dOxDHJjnS9WNeJT08ymAFdld+MR3U6D0WKWkUyJK7ks+b0DdjwfrVtj8+s73Kv6T599ytaHpqpnuimYhoFj28gvXXELhIIB0okAvt2lq/ocb9J4tsH+w5v8U3OUiUKC7Mg0n00Wif32Cx4PWOz6tjfAwvaYI4F1vMfr+8/G0RyA53no2hnOdEdomkY8kXiFVadALBoiEQG7aaIZ/pMVvasb9Bo9zHSKYtHHC3l01mu0fJ58CZ5rU1v6ir9vjTJZSJIpTPDxeIH4n25ROfPR3jMy0ff7E4UnK1kGq1Jc18XQX97+IUOGDDmLcwnObq+LruunC05BIhiJUyyXIJ5mbKJE2GqwtNXE84+GS0FEyUzy8UKczuPHfLMRoPXxp1wLh5F7XbpWllw2S7wmkZ4tUxSabJthZAEEH0LpOMlkhLBsIkVTlGMx8orO4cZjDuolFmaLhCUBr6NhyimyhQIpB8ozJWKNNb5aHRTGCur1Gt4ZWVM6nTaGaRIbKDhFpECERLbAZDJKtlRkIuHS2DhkV4ORozJyIMbE7DQld5/7DyqsZOf55U8LRMMiAi4QIBwNEFSFfvDrQRVxVFTVwk8lyKbTGOEoY5MZlGaF7SYgigSCAaJBCd141vDDcRwajfqpbTymUa+Ry+dPEZwicjhBNu8SKqYZHRuhIHZZrzWpm4kja0jANdC7bTpukamyhKa3WKmq8ERpLyBKEcYWF5gU9vjmYYXHB/P81ecFwqGnxkL4Bs22gZ1JUs4l6AkihUwUxW7S1XXEo/BrJzlt/mDbNs1m86Xt/2Dw+5OKs7Ygfkyc6b/7AffVaVPvId+dcwnORr1Op9MmMcAto3+3EKnSJJ/kPTzHotfeZ3l1g0dtD+XYINX3cbtt2n6Zhc9/zkXJx7NUtpZ2abcNlh6FuDo3xqc/mcQxGmw96tBqauzHwsyVZrkcr3Ggdmgm05RzNlLHJjQyzWezC4i+Ra92wOpWhaoR4fFOmEsTl/jlhE23scejavdUy7N+LNPTBWe1WkVVe6dmkQ+n8szFs0y7LpbWZnd1h8frdcyndvm4nkVH9Zibv8R/NCshuha9nVWWay56rEnNSDF+5TLWvUMCp9nm+AZ7OxWU4DizM4uUBZdudZfHu3X2nTgB1aM0Ms5Fy+Wbb581DrIti93dF4N4PU+lssP07Nwp+9l9lfDlwjieY6N36qws77C+28VNn7S4dtEMlVpbZzYh43Yb7PZ8nm4y+/i+RatrsXDhIr+akpA8m97BJis1Gzd2/GP3aGyushSYZm7iIj+fE3C0BhsrFfYaEsXiS5vzBNM02dvbffUL3nO63Q71WpVcvvC2q/LW6fW61A4PTz3vOA47W5uMT079cJX6AWi3mjTrjbddjQ8O4aNPfv7K05FQKMQv/uZXXLv+0fO36TsyBxTkYzeLoxyJfTeTvttBMCiDY2E4/TiqiiT2l5Geh2P3zdQFSUFRJPquWh720fWS0ndTwXdxPQFBFBF9F/fIhUXq5yd64l/o+uIzLi+e52Bbg91RfN/nf/wf/nuq1erpARDCEf6Tf/23zF9YfPaEKKGcdK2h7/riOk4/KIAgIikKiuhhmw6eJBNQpL7xy1E6Jct28QSZYEBGEnwc20WQZUTPxrRdPF9AVhQUyT/qz2fdeTzXwT52wZEVAlI/CINlOc+sOOu1Gv/b//I/0eu9GHj6JLFYjP/mv/3vSKefs0AVj+ooCkduRH23BueEa5CiyIi+2+9rQURWjuvjYFouviAgKwECoodl2riiQlCREEUB4Thohu2CrBCUwTFtHB8kWUGWxaM0VC6O7T75LmTB77ug+CKKLCMJLo71ovP5/t4u/+e/+19fOezg+04wFGJufoFPP/sJuXz+g1xNvQrdbocH9+5x586tU4NfiKJIoVjkr//6bxibmPwg+qrVbPL13dvc//beMNTka+ZcglMQBBYuLPKTn/0FhZFzTPXfcb795i6/+ad/xDwl+AH0237l6jU++8lPyWRzp5Z7V9E0lTu3bvLFH//wSiH3fvbzv+SjTz4j/IFYofa6XW7d/JKbX/75RxNyTxD6E65wKIwkv0pY9g8Tz/MwDRPTNM5896IkEYlE3vsY3Md4rothGFiW9aP55n8ozqWq9X2f9bVV0pkMsXiCyHuUTuw0GvUaX/zxDy9NLeb7Po+Wl8jkckSi0Xc2ndggbNumsrPN3du3XukH5Ps+d27fYqRYZHJq5r2PV2tZFttbm9z75usf1QDi+z62ZWF/h5yzP0Y81x2GYxzySkil8sS/Oc8FruuiaRqhUIhMNneGo/y7j6aq/Pof/4H9/b1XGlBd10VTVWLRGKlU+syACe8KrutysL/Hn/7wh1cyDDrGsW163S75QoFoJIrwnmZIcV2X3coOf/7iT7Saw72eIUOGfH/OLTgBTMui02kjIJBMJVGUV3BPeYfwfZ96vcZv//nXbGys454jwbFpGHQ6bWRZJpFIvoJ7ytvDPlpp/fmLP7G3W3nlnKPHaJpGu9UiGosRjcXeu0mSZZlsrK/x1Z+/6E+Oztn+IUOGDBnEdxKcvu9jGAbV6iHdbpdoNEosHn8D1Xv92LbNwwff8vvf/gu7lR1s2375RSfwfR9d06hWD1FVlVgsTjQaffmFPzCdTpt7X9/l5pdfUj08wDnH5OAYz/Po9brs7+/hOg6JZJLggODv7yKtVpOv79zmzs2b1GrVc02OhgwZMuQszmUcNIhQKEQul6dYKlMeHSWbyxOPx1ECgXfCMs1zXXRdp9VqcnCwT2V7m8PDA5qN76+2i0QiZHN5SuUypfIo2VyOWCxO4FUCRLxmHNtGVVUajTr7e3vsVnaoHU1sXgfxRIJ8vkB5dJRiqUw6kyEajb0z+5+2baOqPRr1Ovt7u+xWKtSqhy+1IB4yZMiQ8/K9BSf0rfeCwSCxeJxIJEIgEESUpDMTsP4Q+PRXiI5tYxoGqqrS63Vxzwh0cF4EQSAUDhOLxQiHIwQCgR+87T7gex6WZWEYOmqvh6Zp51bNvgxRFIlEokRjMcLhEIoSQBDPTrT7Q+ADnudiWza63m+/rr/+9g8ZMmQIvCbBOWTIkHcPSZLI5QvMzS/0c8m+AxqgDw7fp91usfL4EbVq9cxJuShJ5LI55hYukEql3tr7MA2d7a0t1tdWz9yqCoZCXL16jXxh5D01DvTpdXusr62yu1t5rds174aebciQIa+dbDbHRx9/wuzc/NnpAId8L3RNIxaLc/vWV1TPiE6UTqe58fHHzC1cIBJ5e3YRtm2Tz48gCALLS4MTx0mSxPUbH3Hjo0+IJxLvxLbbd8E0DFKpFL7vs7O99fILXpH3cRoxZMiQVyCbyzEzFJpvnHAkwuz8PNmXBEZJpzPMzb9doQn9qG0jpRKzc/OnlhFFkes3PiaRTL63QhP6q+aJqWlK5dHXet+h4Bwy5AMlEAx+EEFK3gcikehLjQIDgQCRd8QCX1EUoqfE3Ya+7UYylTr1/PtEKBQiFB6QoPd7MBScQ4YMGfJaeH9XZh86r/vNDAXnkCFDhgwZcg5ei3GQKIqEwxHSmQzxeJxQKIysvKd2Rz7Yjo2h63Q6HZqNBoahv7YYp4IgoCgKmWyWRCJJJBJBVgJvxMDO8zws00RVVdrtFq1m87W64oiiSCweJ5VKE4vHCQVDby2YuOu6mIZBr9ej1WrS675et6MhQ4YMOeZ7S7doLEZ5dJRyeYx8YYRUOkU0Ej092fV7gGVZqGqPZqNB9fCAys4Oe7sVdF3/XveVZZlSeZTRsXFGikUymSyxeD9gwpvYgD/OjtDpdKjXq+zv7VHZ2ebw4OB73zuVSlEeHaNUHiVfKJBMpghHIm8tIILjOOi6RrvVplY7ZG93l92dHZrD+LSnICBKCpFkkmw8REAWEXwXU+/RqLXo2X3/WCkcJ5eOEQ0q/fRttkG32aGlWQixDIVUAK/botHWMTyQQjEymThhz0C3IJBIEH3mk/CwdY12w0DJ50ieHCZcB0PvUqt20FyF7GiJTMhDrR1w2LVxPIV0MU+SHoctj0gmQTKi8MxUzTFotQwcKUgyHUaBfg5g20TrqbQ6KrorEYwkKBbjBI9/dr6P51io7RaHbYtgrsRo3KW5e0jD9PAIki3nSQoq1cMOPct9femhRZlAIsN4WkY93GNf9UEQCWWLjCc9GjuHNE0PDwgk85TTYRS3x/5hm57Zr4cgh0ikEqRiIQKSAJ6N3uvSbKuo1uv2Z5ZJjRTIBExq1TY9w8ETQmRGUiQkk2bLQozESCdDzwoY16LXaVOta9gIKKEI6XyWpGSjNmvstm1ARArGKY+lCJ8YEn3XRu+2OGx6JIs5kqGj1IwncHpNDpo9VPPN+29/51FOlmXSmQxz8wtcWLxELp9/nfV6qwQCAQKBDOl0hpnZOfb391i6f5+1tRXarda5VzKiKBKNxpicmuLy1WuMjU/8IJZqoiQRiUaJRKMUSyXm5y+wtrrC/W/vsVvZOTON2mkoikK+UGBh8SLzCxdIJt8NAwJZlonHE8TjCcbGx5mdnWfl8TJLDx9yeHgwzBDyHIIkE82WuDBXIh8C2/URRRlZNDlcX+H+RhtTiTM6PcVsIYLk+/gIKDLo9X1W1vfpRDNMzo0QqK1x3zAwdIFwKs/MfIlo95CDnkR+ZoIMGm3VxPMBXPRuE8wAhcVFpgIajY6Bi4AkBwnQZev+EverMqX5RS5lfTqrDl88rNK2AhSmZpllB+OxTXFmiqm0iNkzMOyjwdLu4DsBxNQI87MJBFWjZ/lIInh6l93tbTYObUKJERavjRFTO9RVB0GUCYYU3PYOd+5sY8VGWLwcp+n3+GpLxYuPsHBxmmR7jV6zi2rx2gSnICmE85Ncuxhk79Y++6qPgEhsdJZPZh2+rddoWx6er5CZmOH6dIqIc8jtr5ZZr2lYvkg0O8LsVIFMUMBxfeSAgmC22F7fZm2/i/U6vfWF/nu4FG/ztaqjGQ6eGKU4NcN0qMHSche5NMaFsQieqqGaR+Olo1H1dOp1DQSZcLLAwtULjEka1XWLeruOKYjIoTyL1+dIGx1qPRsQkAIhFOOQhw/2kXNZRmIK4WiCVFTC6vZQTRu1ZtDuqqjnH9bOzXcSnLIsUyyVuXbjBjMzc4Q+kJyNp1EslkgkEqQyab795muqh4evLDxFUSSRTHL5yjWuXrv+VmP6BoJBFhYvks3luXP7JksPH2CdQ3gqisLE1BTXb3zM2PjEWwkt+KrEEwmuXLtOJpPl7t3bbKytnTsu8YeLiBKKU56ZZCppsPlok+22jRBOMj5VIp1NENzqIBUmuTSdwTvYZmW3Rc9VSJXGmS+NMWOo3Nvv0FJzjMViRCMBBEMgHosRFW26nR4dO0HeNWjXK9xfq2P6AD6u6yMqCQqei9U55OG3++iIBBOjXL8xyvzEHstVtZ+k3fKJlUYpVdpojRcnm063zvrqPgedo4mR72A4EUopcPUO9a0tVuse0WyBidEsM9MuurpNG/Adi87+JnfXe4ihBOOXFlkcyZFRNnlU2WBt/AYLk2VytV3EyTI5scvGdp2O8WyC+NeH0E98LwkgCIjPT64DSYqZCL5pYYfi5FIh9to6lqWQyuUYScq0tjZY29cQk1lG0gqIEjLwRqaNwv/P3nv12JVlCXrfPv56b8Jb2vSmsroqZ9Bd090yM9I0WhoJ0EAvgp70D/QoQH9BgAAJ0qOgkTR6GEHTqumerpqqSlPpM5lM2mB4c+N6e/zZergRtBFBRiaZJKviAwiS97h99jlnr73MXms8vqmqilQUFPFgEE4w6rC7tsVawxn/IEM8z8MDhG6RSGfI6AGOC/FcgbzRZPfgE5Uywmls8s2tHhEKseo53rs4zUJxly/W77AvIT1zkTfnTVqba6zWBwwch5H747hnvpfgLBSLvPnW2yyfO/9CVwd5msTjCV555TUEgi8++4Rm88lKdMViMS6/8ipvv/uTFyJBuqIoFEsl/uRn7+P7HteuXn3iYycmp3jn3feYmp55KSql6LrB9Owcmq7j+z5rd+487ya9GAgV3cxQyWs4jW2+u1NjKAHRpjMakmXAMNKYmiyQlH2u3tliq+3iSWgMVbK5ZSqFNIm9fVpdm8mJJOl4DHOkkkxZaP6QbneIE0uDjPBdh153wNjRIZFSJZ5NAxFh4NLt9BigYEZpRhGkVO2uzz/oNelZOWanc+wPh49ER0aBx2g4oNvzkEikBDRznIYyDHBGQ9rNIa1hQKQleGM6TTln0HMBoaDFEmSzAqHHMJUIp9ul60vwW9xZqTH9ZpWleQ1j0sLeWWer4/KsxmahaCRLkywYEhAkUjqCe5M9PVukEI/obe1DtUI6nyRe69P3JUEQ4EsLIx4nmfAZjlqstxxGI+dgwvIM0OIUqxXUtEckEuTiOup9fSNDH3s0pNuzkQf6+ThURGDGLLL5OGLYYasuqVYzVHIau4f5I6QkcIe0Oz0iBMPYCDfKoGrgDgfYvkSUAsJIx7dH9Lp9Bj9iSMOpBWc8keDCxUvMLy7+0QjNQ3TD4NyFC3Q6bYajEc5jfJ66rjM9M8trb7z5QgjNQ4QQpFIp3vvpz6nt7dF6gklAKp3mtdffYGJi8qUQmoeoqkq5UuWNN96i1WzS63afd5OeP0JB0QxMLcIZDnGkQKgxiuUkhgCIkzRdUpaG8Gz6bkR4MPhGIxvbC1EMA1UNaHX6DCol0qkYudAgFVfxBn26fRcZAxSNWCrD5NRY65FRgDO0cQ7aoVkpJiYrOELBypVIhSN267271xNukzstg1cnJpmsbSJU4L4BUjUT5EsliAeAJHBGdEePLhaQvo8/cgiUJKZpINyxiTSRr3IuHo7bogeM6jaBKsCX2HsbrDSLvL44hebU+Wqz9XR9mw+hqAbp8jRL+bHmplrafSqcRr6SI8mIldoerpbhQiFHJtak1R/S2t9nO64yla9yPlfG9xx67Sbb2/vsdxz8Z9FoPUFlUiMXRkhUYgkTtXff/RgxMoUC06oPSELPGVsiXJVYLEUhqWA399mq6SSq0xRLGfT9g+9TCPREjqkpA1BJTaXR3R47bYcwev5ZYk8lOIUQLCwusbR8Hsv6wzbPHkc8nuDipcu0Wk3u3L59bLStEIJ8vsAbb71FKpX+kVv5eISiUCgW+JOfvc8v/+b/PTnHpqJw+ZVXmZmdeymDvnRdZ3J6htdef4OPPvjdWfJ3KZFRSBgJdENHFQKh55i/NEdBj5FJSjZ+/ym9MAJLQ1fFWAOUIDQdVVGQYUQkJU6nS3dUYCKZYsIwSKoe/d6ArgdJANUkVaxyLlEYCxzfprO3zc19QGgYyQLLF9NIzSQVVxhu3eTbjT6BTB4IqJDG1jZ7hWUmJzP0TRUxuncrWjLHzFyC6oGkddu73N4cPnLLQlFQdRWFCD8cP38ZuHR37vDZWh+pmqQrC7x5YZlXWk1+u2Yjwz4bm20uVibw9nfZHfr4z/DViQKXxuo1rrUAoZCef42fzBxs1DNMFGNoUQeRsJAyRJhpSmmLvY7NcNBk7faARiJJJp0iVyhQmZkloUZ4oy3qz8Lv53RYu7XNft8lFCkWLs1RvW/OosbSTEyb5CrjTvP7TTbW1ul3DGKZLBlLMJJgxhUiqZIsFCjoXdqAEApWfpLLsRDFTJKJBezf+JbVho//AgTLn0pwxuMJZmfnKBQfTi0l0AyTRDKO+cBkTxKFHoPuEOeEF07RTUwlwPFCntKqjwdbp6iYiQRJLWTQGeL8wGtUqhNMTc2ws7V1bKStrutUqlVmZuePaI9GIpMm/oji5jPsDLGD6Kn5UIRQUHUdDR/noeg6RVG5cOkSv//4Q1rN5rGTgGQqxeLS8pH+WdWIkYhbWNr9RrQQz3EYDlxO5VUUJul8HM0d0BkJEpk4emDTG0msZAwjchmMXHyhYSgQhgFB+GQPM5FIsLh0jm+vfEO30zlNq/7wkCGBN6QzgvlckUpmQNPtsnrtNrX8PO9eSBBFHq32EC+XoVpK0Q0HjCIFs5gjGxPY9QGu6yOdPq2uQ6Wco5zW8IZNOr3x954ECBy6zR1urHfGASoyJHA9QjUNkY/T2eWrq/sEyQqvvzqFGXgEDz/S4T6r22VKC0VyuoF+3ycX9Jusre9T748TeEeBw9A1qQAoCqqmY5omWjpNPp9Acwf0eg6RykG0rcdo5BApIWFrgCtyJJImAhsJhI6LLyWh++w1HSkDvGGXeiNCCA05eU9CaLki5YQgCpLMLC8iUVBUi2whSbzhY8QyZA2XbqfNZqvJbs+D89PkTQNLFzwTe23k0+/2aLRGBKpCyQsJ70vQEw477G7ustkae1hl6DEaBVixDNlckpiqIkozXC4pqKpExLNUsxptF6QMsWt3+OTWAKO8xLuXsvheQPDM9P3TcSrBWalWyeXzR54mXZzi1TeWqeo+jnvoPA9w+nVufHaLzWO904JEZY5Fo86Nze696LiniKJb5GeXuJwZ8N3vb7HzFGYspXKZfKHI9tbmkdsTySRTR0bPClQ9zfl3f8rFpMdg5N8TkrLL7d9fY6Xn8bS+UdWMU6hWyPt7XN8ePvLaCaFw/sIlfv/RB8cKzpnZWRKJo9JzCWLFSV65NM9MQuJ6wdjEFtm0drb57toOndM8TiXD0mvLpPau88maxaWfXKTYusFH1z0q52Ypertcv1NnaFWYTgV0mi3qvScPe4jF48zNzfNN56tTNOoPkRDP6bC51aG6VObVV1V2Ww5SM4jnTPxBl54T0tjcZqewwMTiIqR64+CgQpaE32Ztt8vADoGQTrfPsJKjmJDs7/fp9T3gwDKhqBhmnFw2OphESQLXxXHH/44Cl16rw6jrcSOX572ZJS7sdfhq7/5Ak5Dm1hY7E5dYTqpjc+0BQh+XMwy1g49axjC7EkuAqsfIlSssxiGRzlBIjpeX7LQDRHE8gY1lCszOxJGqQaJQwHKH7HbsZxT8831RyVULJBmyfm2FjZ6DLw0q5y9wLp0jm/CR+RKzZRO306bR81CSWdKaz3DgMHqqIbVPjtAM4skkeXlYlSQg3jPwlQSFpKS3u8qVW01soZHMVLl4qUKxmkHbACQEnk230yXsr3C7/DavLM0z0xyx0naeqeb/JJxKcI4THJxgdgwcuq1trq40GVsGJFHgMwoVjFiMuBbhBgqGoSCiAGfkEJk5ZuZnmJchzbbNXi9ANQxMXUVhPCN0XJ9IM4kZCgIBMiKIxmuddFUgJSiKQIYBruvho2FZBhohIQpKFNDZ2eR6w6cTCYSmE48Z6MrY/hS4DiM3IELFtMz7ru1iu8H4Wg+RzeVIZzLHCs5YLE6pXD6+r2RENKzx9ZfbjO6ePmBkC8xkkljoMnQCQqkSi5voBNhugFB1TENDFRAFPo7nE6JhmjqqkERSQVPH2zxfEsuVmJubJNsdsdNy6doPltYRQjAzO8snH394bFPL5SqWdUKuR+nRrdW4s1ofC0oZ4bsuIzTMmImlKwgkge/hOB4BAs2wiJnj+5Chj2M7uFGfzRt30O0hfnifT1iO2FvboBONcIhRmZxgPu2yF7q4UkfKEN/1cAKBbhhYOgSui/3Q12WaJpXqBHz9xy44IfIcWqs3+SKaZamaoTKZgcDD7u9x7btN1toBgdzi6ysh9kKVUrZAWoS4gzo3NzbZbI7uWpGcTo9mu0tKhNRbw3HgDZLAcxmMfGJWmsnZw3Ejwhv02N+pMRoM6NkeEZIotNlZWWUjvUhhskis1sIZ9um6PpGUYNdZ2yyRERmMoUcQBtjDIUMrQbZU4e6iKGlTX29juyMGnkU8U2I2FRI4Q2pre6xt1umGBqnAZTDySCfLLCcZa5/eiO3bm1zbuWfXlIFLv9cncsKnNpl9GCkjQndEtxswOnBGSiSBPaTdDXEii7QR0q/X2Nhv07THiom33SCvxTAYsL6xjudXmSrlmM4oENj0alusbTVoPfWQ2gh3NKQnbLwwGk/GZYgzGtILXFzfJ7RHDP0M8VyZudzhjbp06l3aXZDDDnu7NWodmwgF24VkKcWEHiMejvvcsA/8yWGXlRtblF8pUinF2eh5+FFE6Nn0+xEjL/zRJzqnEpyJRPLkpScywndGtJrt+4QBaFaSqVfe4aflEas7kkIlQ1IdcPvzr2lWX+F8UcdijreWXT5YDZmcn2IyY6ErEq+zx43bOwwzC7y2mMWMJKE7YK8XoCezTKUFo1GAkbBQ3A7rt9bZDrJcfG2JStSl7oPS2WPbWuDtQpfPf3WNemGed1+tklEFkQyx9+7w2Xd7jKwiFy7PMZkyUIXEa+/w3c0dan33EfNRIpEkHjs+gbZhGGTSmZM7NHBpN9r05X1rwswqpir1yAAAIABJREFUP3nvMtXhLT6+skszLHLx7XNU/C2uro8wC1XmyiksVeIPWqyvbrFPgeVzU5RUl66jk8saBN091re7KFMLzBd0iM/xhuPyu+utB14yIQTFYunEdaWZTOYxvs0IzxnRabWp39XmVWKZIvPnFlgsmCgyxO7scu3bVfaCGNWli7w6k8IUksjrs/bdVa4181x89xUyW1/xq+v3tUdJM//KOSbcTdbtLJVqjnw8IqEoFBZjmGLEzq0Vru1rTC0tcaESsHvjBt/uOA/cq65pZLM5zgCQhP6QvdvX2Lt9/F5ee5dv27snn8ptsvJtk5UHfvTp7K3z2d768cet1+/7T0TY3+XT39y7Vv/Tj7h13x7d1av8ZvXe/xtf1rhxUrtuHttg+vU7fPB3j4+yjrprfPjrtcfu94MIXAYbV/n7+6teyZDOzS/45eE9fPr7R+51tH2Tj7bv/b/TaXLn6CphTxfpsH7lCx54slGHO990uNujjX3WTmrL2gMH447aXP/0E64f/FL/+wcVEr9+i9/8+tYDv/U3rvPbp1cp7FScKletYRjoJ0XSCoGmGySTCdKpBKlkjJg5ls0RAqFbmP3bfPD5Bh09x9Jcjv3rN9kchti7N/nt1X3M6hyLBUH99nd8eqOBny4zW0qS0EGqJnrQYXtjg/X9Pj4KmhzR2LzJZ1e36GhZpqaKFNQIVBWhhHRv3+Lb7dHBACpQVI3SzBQTSosrH3/Gx9frDLUYCV2jsrTMUj5i59q3fHKzRZSfYK4UfyjzyRhd10+MKlZVFeNxkbSKRjKZIJUa91cipqN6LfZaLmoqR9rQieezZKyIfnOIka0wX40x2lnhi++2aasZJify5C2QqoGOQ2d7hStrPUQ6Tz4m2VndYG8worF+k49uto6cmT2u7JRpWY+JpBVohkHi4D7SSYtYLEY8kSJjOOyu3OSr2120/CSLk2ms7DSXl7Io+9f5zYffse4nmZkrE3t4IdgjSFobW2w2enQb23x74yZf3a7TjyzSqSTZdJxkWica9Gm2nUfuVVFVzJM05zPOOOOMJ+BUGud4nZQ8XjvR4uRnzvOnk8tjDSpw6O2s8NH1PhAQeQN2N7sMI4Wms0TJ0EA6d88eRTHSSRPVMlh89Q3mIpAK9AyNsQvDoV1vsrfXZZiII4lwRiP6vS49YdGxQ3KmScLwIPBwug02aj1sK0Xm8A6ikEF3gFOt8PrbMdrdLvWdfZqexVLSRDXjLL/xFgsSUCA0NRRtHJ5+VI+c3GHy+CrvQkFJz/D+P5q6FxDVvsOvP9mgXu9iT2QopGIo+TTxsM+drkSpmhixNNnlS1RCiRQwdDR0I4LIZTjo09jt4JczjIIYuqZCJMdRlFISHmPPeFweXikf89yFRWF6mezk4rhHvAF7Wzus1H0CNcnkQoopoWGoIa5lYZAmITy2avu0exHt3za4IiRSnXp8OhYZHSwGk8goot/q0anmqabSTAmI6wG9Vpemc8zhzyL67IwzgKeXS+iMF51TCU7PcfF9//iMMYFNZ3eH71ZbuAe+rtAd4Y0zRiKRjFcCyCPfMSHG+zDc5YsvVtjquERCgJQkZjLMyAgZ8kDkrSIEqlAO/h4PjIFknHsyDB8xscowoL3yDb/pV5kqpMiXp3ljpkz8o6v4Ahhs8+knK+wOfFAEMoqIjnBueK6Ld0IatyAIsB3n+HqIMiLq7/Dp17s40UF3BCN6fohfb9JyimSKFax8jKCzS9txsCRgN7hxfYWbO32Cg76xSjNcqo6F27ipD0lIMV5OcJwyNxwMjr0PANu2CcPw+Dy00qW1s8+d9Tq9CIgCAjVOfnqBSX3ArS9vs6tM8+475XEbpERh/OyEUNCtGKYaYB8j7I5GAAJpd2i1h5Qn8kxWJLbbZ6fdOzJyOgxDbHv06IY/UGQkiaIIRTkrgvSsiaLoiSagL8rzOGzLSYRh+FKt2T6O6Jgx/IdwqifYH/SxRycMPEKMzWGGgWUZWJaJFU+SfIzFUkqJZsZJmB69voNvZJkspijOLPLOT17hlak0iSOfn0oslSFfmaCSz1FMKriOfUKuQoGixZm+/AqvFl3Wb97gs6t7dKSGaTi0eza+lWe6lKQwu8xP3nuFS9UEsSOuPRgMGA0fXS92iOeNQ8NPRKhYhoFpHfRXPE06pqB4TWptH6s8QSUR0mv2se0BvYGNIxIUCxmq0zNcfvMV3lwukX3c0kqhYFgx4uYRC8OlZH+/duJH32m3T5wkjBN3D+k2Wuzvt9hv9OiOAiKhIAA9Hic3kSWlgCog6PXoRAblyUmKuQqvvf9z/oN3p0iqjzPV3kPVjXGAl+rT6vToRgbpjIkY9eh0jl4E4/se7dYfT9L3Xq/Lfm3vTMt+xkgp2a/t0ev1Ttyv3+9T2919IZ7HcDhgd3v72O1RFLG6cvw69ZcFKSXtVpNWs/FUz3sqjbPZbNDrdY+vDK7GyE4s8JOJwx8k3rDD2ndXObYeR9inVh8yN7/Ez18L+dWVNW6ZCyyff4t/qLh0t1f5puMwOjKmI8ANdXLVeSbTJn5rmxsbNVoUmThqdyRR5NLsOJy7/Cr/4XkdNbBp7tzhxr5Le/8mCeMC5y6/y4xwaG/eYaXr4hyxfKXdbtLtHr8ecDQaUavtMTE5dfQOQkFJTfL2Tyfv+9Fn68sP+XR9RG2/g1edJOV0qPc8Rr4k2NrgdkzjwtwFfjofMtzf4lqzT0+zjr5fGeA6fZoDQXX6PD8LQ371de2BtZVSStbXVk/8QGp7u5w7f+F47fkIwtGATq1OtzTLuVfiNPcbrNSrLE8tcKH9NV/fiPPuhcv85YzE7uzx9VdrdMOJx6/jjWza7T6j0hQXz0l8/w636gO6/RGDpKTT6dE6ZvGo67js7h4/WPyhsbW5we8/+pA/+dn7lKvVH6WwwB8bUkpqe7t8/OEHx0bYH7K3u8NHH/6On73/D6hOTD635zHo9/n2ytd8/vmnx+4ThiF/97e/BGBx+dwLoSWfFiklrWaDzz79hFu3jo0U+16It955/4mnFIZh8Ke/+HPeeOvtR08kxMGfhzbIcbi1FAoKkigaV1lQFIFAEkYSIZSDEjEHpkYhDgxxB37VSCIPkx5LSSQlSnqCS5fmmFaa3Lh2h82evOuDlTy4L4wzh9y9/sG5DrOh3L0GAqEcce2Hb0lKPvzdb/nsk4+PTRyuqirL587zH/3VXx+5llNRjugrGJuGD/pAEeM+iqS8K1CEUO6aXR+534P2cvAsODDdCkWgHLQ7ekgyBUHA//w//g8MT9CeLcvin/71f8rs3PyjG+97LuO23L/p4J04bCuH7YjGfX33GRze47hfODDpH/5bRsDB+3L//Qkkim4QL0xxfmmCnLfHjWurrPeONkHt7mzzL/+P/x3HOZVN+KVGCIGiKGdC8xlyaPZ8Eu3sRXgehzELT5JBS1XVl/rdOc2zOQ2n83F6Hqt3VqhUq1QnJh/YdvgwjkVG96WYlA/YnKW8lwvz4IdHXaBHDPp3942ih7J6PLqvjO67/nHnOkZQPszmxjpbmxsnVtsIw5B6fZ+bN65x4eLlR67zWJv7MW2UMjpCK3to34eehYwkR+V8CMOQLz//lNFJ5nfAcRxuXPuOdDpDNveQ6n9sXx71TsgH3oFH35cH++WBPrr/udw9r0p2YoHLy5Pkgn1ub9bY7R89GPR6Pa5d/faPSmjC+BmcFfR+cXjZnsfL1NYfE3Vicva/O80B3W4HQzcolSvPtayU9Ea0a3us77bpOtGPFs/W7/f4/NNPuHNn5bGzGNd1GfYHTM/MvHCl16Ioora3yy//5l8/0cfRbDTI5LLk8/nnVqz6USRuv8Pu5iYrm3UaPffI4GfPc7lz+zYffXiWp/aMM8744ZxacEopGQ4GGKZBoVh6jlFXYxU8fAIN8Wnhui5fffEFN69/90RFoKWUuK6LY9tMTc+cvAb2R0RKSafd5u/+zS8fH8B0QBRF9LpdMtkcmUz2hfF5SBkRhiFhGB2Z2SUMArY2Nvn4o98x6Pd//AaeccYZf3CcWnDCQXRiu4WMJNlc7oUuaPy06Pd6fP7ZJ3x39QqDxyzfuJ8oiuj1e/S6HQqlErHnrHmGYcjuzja//tXfsbezcyrbv+s4tJoNDMMgncm8QJrn0biuy8rtW3z80Qc06vWXPkLwjDPOeDH4XoJTSonnuuzX9ui02yQSCVKp9EvtRD6Ow6jTD3/3G27dusloODz1ABwGAZ12m+2tLUzDoFAsPpe+sm2br7/8nN/+5tc0G41T+y+klNi2ze7uDqPhgFQmQzyeeEat/WG0Wk0+//T3fP7pJ3S6nTMT7RlnnPHUOFVU7VEYhkEmkx2X0Jqbo1yukE5nMEzzpRSkUkpcx6Hb7VCr7bG5vs5+rUa32yUITlUk6xEURSGVTlMslpibX6A6MUEul8eKxZ5JX4VBwHA4pNlssLO9zebGOu1267EJD54Ey7LIZnNMTE0xPTNLqVQimUo/N+uD73n0B30a9TrbW5vsbG3R7rQfW2z8jDPOOOO0/GDBCeMQa13XicXi49p3uoaivLwZJ6IwxA98XMfFtkcEQfBUzXyqqhKPxzEtC103UFWFJ175fwqklIRBgOd7OLaD49hPVfMSQmCaJlYshmGYaJr23HyfMooIggDXG/uUXdc9M82eccYZz4SnIjjPOOOMFw9VValOTHDx0ivH1NF9Odjf2+Prr7+k1+0eOxnSdJ2FhUWWzp0jmXy04PofG71ul1s3r7O5sUEQBI8/4IxT8WJHd5xxxhnfm1K5zNvv/IT5hcWXuipMpVJF03V+/9EHxybqmJ9f4K133mVicuqFiV5/nnieRzKVIorGMRpnPF1ejDUFZ5xxxlMnny8y95ILTRiXvbtw6TKWdXxE+tT0DBMTk2dC8wDDMJienqFSrT7vpvxBciY4zzjjDxTd0LFecqF5SCKRONF/blrWY4qt//FhmCbm42oCn/G9OBOcZ5xxxsvBCfFzL1/8/hkvM2eC84wzzjjjjDNOwVMJDlIUhUQySbFYIpPNEo8n0HWNHz4PlPh+wGg0pNvt0KjXGQ4GT3dJhWagZ2fR0hXUWBahxxDi+80nZBQQeUPCYYugt0vQryHDH7b2835UVSWby1EoFEml08RiMVT1xYvvCsMQx7Hp93q0mk3a7dZTjezTVcFUymA+a1JJ6mRMFV1VXgitQwJ+GNFzQ2pDn7WOy3bPwwtfpOB1gW4lqc5USftNbq+1cBEILcPipQqxzjbXt4YEwiBXLlLKxInrClHkMeq22W/0GbghkWKQzucp5ZMkDBVFhrjDLvWOh4ilqRQT6A88lAjfHlDfrdNV0kyUc6QsFYWIwBnR3N9nt/f0vpcxKvFMjmo5hRj2aNo61akUyqjDzmadTqBiJPLMz6bwdlZZ64DQLUrVMsWkiaEJIt+l326y2xjixYssTqags8t2c4R9+FoLk1y1RCUp6dab1DoOkTBIFwpUcxp2u0dXxpmazGCJg1SRvseo12W/0aEfqJi5CS5MJXh4IV/Q3uZGTWVysUTGUMcVhsIAzx7SaLRoD1z8s/wePyo/eNRNp9PMzi8wNTVNvlAkfTCga0/JSR/4PrZt0+v3aDUbbG9tsbG2Rq/X/WEnFgKzehmrehktO42WLKFYGRTdgh8gOKU3IrQ7BP0afmsNZ+87/ObaD2srUC5XmJtfoDIxQS6fJ5VMYVrWC1mhPQxDXNdlMOjTabWo1fZYX1tlb3f3B5/7XN7i3akEl0pxZtIGpYROylDR1RdBbI7xQ0nfC2mMfDa7HtcaNp9tD7jZfFEqsyhoRoKJuVkm7YCN9RauFAg1zcz5RfIbbW7tOCQm5ri0WCSJh+OFYOSplrNkrU1ubrVx4kXmF6comiGuHSDNGOVyllStSccVmJZJMp4kk46hun0anRGj0MOKJYlPzHO+oDLq2/iKQapappyC4dfbHFMV7nvfayyZZWauimio+G2LhQuTxHoNtFGf7n6EHs8zt1Rl2F9jva9TnF3k1fk8ujdiFIBmFpgsp7HECmtqkbmFMmy0aXZt7OCw3p9OulhlsRyy6fSpdxwidJK5EvNzJh0kYZhnfrGI1uvSHEVoRo5qOU8uvsGNzT4yW+X8cg63UaNh35to+ZoCaoqphTmqckCj6+CjUywXKWUt7tzZYa97dIGDM54N31tw6rpOqVzm/IWLLC2ff2brxDRdJ6XrpNJppqammZ6ZpVgscfPGder7tRNLex2JEKhWBmv6TWLzf4JZOve9BeUjp1Y0hJVGsdLouVnMyiX0/Bz22ie4tWtE3snlu47CNE2mZ2a5eOkycwuLpyom/bw4TPAQj8cplyvMzi9QqVS5fu07NtbXvldpr6Sh8mY1zp8vZnhvKkku9uJp2ofoqiAf08jHNM4XYrwzmeB8weLf3uny5e6IgfeilGoS4+9BVdFQUFRxz3dj5FhYnqKiNrl5a4da30dYWebOzzMxV6XbtWmnchSzFtQ2WFtvMNDTlPJx1FGfZnvAzr5BpjTJ8lIZo13j5o06w1CixXOcL2exvG2u3V6nLWMUqkWy/BjrDce1XlFjVKZLbLZreHe7Q0GJFVhaniLvbfHV7V1atsRI5pmbyRAzVZQf+Ogiz6a9t8nVHRczlWNqbobZ+WmGvZtsIokin872Hb6t3Zs9yMDBl+O1qX5vn9u3mgylQW5yjotTk8wO+/Rtj457Jjl/LL7X6KPrOtMzs7z+5lvMzs1hmj9e5F4ul+e1N94gk83yzddfsrVxcl3MBxAKajxLYvkXxBffR43nHn/MD0Axk1jTb6MlKyixDPbax6cSnqZpcuHiJV57401K5coLn1T9OCzLYuncebK5HIlkku+ufot7CuGZNBR+sZDmP76Q41zBwlRfLtd81tL4s/kM02mTfKzFv73TezGEp1DQkwWWzqt4QiDUFIeZh0WqSDWtMlrdYn2vw8CLgCFki5QW0uSTBr3AxfEhncpSqUiMkcugUaM3GDFyIyBAS3oEoUTxPYaDIQOpYGk+IztAJFKUqyW0kYvb2edOp/uUtc2jCV2PQXeIyFSZL/W4fSg5hYKaLlBOSHpr66ztDQkk0BkwGiVRXRs//QOFk4zwXZt+t09v5BNoWSZfSVEuWGx7gAwJnRGD4UFHHNYmPggYjgKX0XBI1+7S8+OUi/MUsgniVoeOe5bo4Mfie43EpXKF1998i4XFpecymJumxcLiEkIIPNdje2vziY4Tmkl84eckLvw5iv7jVCkRioaemyF54S+QvsNo9cMnPnZhcYm33nmXQrH0wpTx+r6oqkqpVObtd97F81yuXrnyxMf+dDrFP7tcYDFnoiovjkn2NBiq4ELBwrxcYORH/O3KD3Q1PA2EQNEscvkMASCEhcHYT6tYFoaA3sghvBtTEDByPMIohqELvFad9U2V6XKG/MQkRRnh2n1qO7ts1ToM/PE1HiTCs3tsr28Tm8mRnZgiJyNC36Zd2+H2aoP+MXOKp5NBURAFLsN2nZEyz8RMmebG3U0ohoFOSHtkc0+GB/RaHQCUp5iUSIYhge3giQyGaSA8EIpOqjrHhfih4Azo7O2yf4RuENkObhChGDqqMvbxP1Ia/kwJfSacWuql0mkuXLzE7Nzcc9WANE1jZnaWXrdLr9el3+uduL9QdczyORLnfvGjCc17F1dQkyUS53+B397A72w99pBiscRrb7xJPl946YXmIUJRyGSyvPnWO+zXatT39x97zELW5J9eyDGXfXmF5iGqIpjJmPzVxTwrLYc77cfXdH2mRCF+v871qzuMUFC0Em+XUyQB6Xl4KOiWgSJsxkOyimnoKELiB4Dv0N7bZthuEo/HSGfyTFTLzGsh7nDA4MhSrwKiEKe9y61Rk1gsTiqVplCtcO6Cjr3f5HrvGY/2MsQd9djxepSXKywU+uPAMgnS9wlQMC0TwWGBAI1kLonm24yOewelREqJFAJFHJi8hYIiBAJ5ZKpAoSholoGOZOgFSARC0YhlC1Stw/19RGePxhHKpGIaGJpC5ASERxWjPeOZcaoRWVEUFhaXWFxe/lHNs8dhmhaLS0ssLi49RrgI1FiW5MV/DzX+fHJ2CkVDz06TuPgXCOXkCYeqqrzx1ltUqhOoL6l59jgUVaVYKvHOu+89NrBJVwR/dTHPxWIM4wUK/vkhGKrgfMHiry/l0Z/7REASBS7dTo9Wu0er597190X9Fo1hSLw0QaWQJp2Mk8mVmCok0LwBnUGEli0zP1MiZwQMmnU2txs0+j5C1zH0Y56tUDETOWbmpphMwbDdZGt7h42WC5pF7EfKYRD5Lr1GjZ2hRnEygwkgI8Jei6YtSFcmqeaSJBNxMsUq5y4sslyJH7yHAqEZWJZFPG4Rj1lYWkTg+/jCIp1KkUsnSGfTZNMWaujjON5YGxQKmmEST8TJ5LJUKykMb0irbRMhkWFAd2edG7fXDv5ssW/f0xyFqmPFTBKpNNWpAjkjYtgZ4bjhI9rmGc+OU43KiWSS6ZlZcrmHhY+CEYuTySR5IGYjCvGdES3PoJhSGLZaxzqwhZWmkjMJ+m06o4DgPl+HmcqSjQnc/oC+7XO/JSebyzM9O8fqnRV6x2idQtUPgnUuH7FRYWY6zrQFD4xjts+1PlTTKgw9Nl1BJatjuT6bHZ/u94iaF5qFNfE6w3T1RK0zm8sxv7D0aNYXxSSdTRJXPQa9EQP3Xk8II0YqFScuHbrdIfapXWgqqVKRDEPqrSFeKJ/Zh6jrBguLS+TzBer147XOqbTBe9NJUubDg7COyM8i4gLZ2UUOjs5f+uiFU4jiHELWkbXa9zNjmVmEFiLdEQTfz0+ZNFR+Op1kOmOw+ry1zuNwGqyt7ZOeL7K8ZFAcBShWkkzMo7W9y97ARilXyFYKTOXTlPoOgRYjE4sYdgb07ICjl6MJFM0gVShRqaRJZvq4aCRz4/GhMfyxhv+xyXh3u8HcG9OkpE1TRoSjOiurJZJzk1w6H6fjhmiJLAXLZ2/3sEqSQixfYU7N4oaAjBg0anT6bRr9BBPlCS7EsnhajFRc0G+02O+6iBIoukWmNMF5M8SIJcgmApo7O2y0AogLUBSsbJ7qfYsSohTYOwoI0FNF5uZj+Jhkswno77NZ6zNwz9aj/JicSnCWK5UjhCaASjJX4dLrS1Q0l8HIG/sHApd+Yw+7m2Bh1qDmtOgcM04o2WneertE//oXfLnRv09wCjKTC7w+pbB/8zY3tro8PFzlcjnKleqxglMxYpgTrxzhbwGExvs/r/DPihH7nRAnOhAYjT7/yyr8ZN6E3S7DocU/fjdNpdHhX3zh8833XG4mNBNr8vUTBef8/CKmdUSqLDXNzLlzzJktblxbY1i/N8tUEzlmzs0xLff59usVtk87pguDqUuv87qyxq8/XqURBs90BqvrOovLyycKzvemkqQfEZqASKAs/yXqrEb0zb8muHXnUefOowchEhOob/1zVPkr/F/+7fcQnCqi8g5quk20eZ2oe/oo6UOShspPp1LPSXBKwsCl02iguKODWFYJkU1zdx+34xLJgMbqbb71J5kqpEhaJtLvs7NaZ2OnTd8JiHa3uC09JksZUskkVuTTr++wu1On0Q8BlcAZ0mo00fvOONAGn1Fvn1s3Bf5kjlQiiUWI393jxs4O20+9fKrEc4Y0Gy1Ed4ht+zTqHgNHIn2PQW2bWxsGVd2jbUtk5LF3+yYymGI6lyAe0wntNmsbu6zuDHFSfRp1g4ylYca1saZKBAOV+l6N1SDCm8iTixvooUNzu8n2boP9oUI20aPe0EkIg1RCEnlDdlcbbG7X6QYasVGHvVqEpiRI3+9LVXro0qFdqyMsDTMWx4wChvVtdrdr7HVtvDN180flVIIzl8uTSp3gHQ9deq0trtxu4AJEEWHgM1JcNnc0Bg4IoWImk6QsDUVIQtem13ceFIZCxUrGSVg6moxImBqqOH5GlUymjhHoB6fTLPT8/Mk3N7D5Vx/1WB9FhBLwfbYCDVME0A3o32dCEobGZEkjqUAEmDp4TsQoFCTiCloY0uz61Owj/Bqqjl5cOrEp1YkJdP1xNiuBZsSIxS0sXUDMwlRhPAoKVE0nlogTN1SEDHAdh8HQJRQaZjxBKqahCogCj9FgMA7keKCdBslkjJihoSAJPYfByMENBHosRjJmoIsQPxxr6oHr4aNhmQLfHtJ3QLdipOIq4WhA137QlKRqGpOT0yfe4cVSjJj2OG+ChkhOICwTZAiqBYqPHDaRg9FYy8wUEZoAqwCHfaQYiNwsQusj9/eRJBDVGYS7TdQeQaqKkoiDokAwRPbqYMyiLP4EJVUDr4tUXNA1BAJkAEIFJNJuIgc2WDlEKo1w60Td/gOttjSFS6Uf2dd+lwhv1ObmV/c7ISWRX+fKh/X7frPZX19hf/2Y03hD9jdW2d84Zjshg9Ye11p7D/wqA49ebZNvak8W1PfDCOg3d/m2eW8N8f1zNc9uc+vLNrceaN+Qvds3ebDVB7Q3+frzE9ptb9Pd3z5yU3tvjc/21o450MfevcUHJyx17n7++JiAM34cTmeqTSSxYid87Aeh1t1Ol9HhKKnHyMzO8dYFk43PmnTVHEuvLjFjSXypogVtbly5zc59yqBiZpk6v8hi3kDaQ2w9hqkeb46zYjESycSx24WqoSXLJ99cGLLXcFjpRxzKEG0qwz95L4V6p8G/uO+dVbNx/vJyhndiEftDyOc1ZN9ltSXJTVhUhMfnXzf53655PGyZFoqKlqqc2JRMNvf4xAaKQaZS4dximZzuM3AkZkyF3oHQy1ZZXpqgYEAURXj9fW5e36at5li4uMhCRiWSoCg+jZUbfLPu3WdYU4kVJrl8vkLWUBCKgnDarK9ssN5VKS/Os1xNovtDhpFF0oxob+9R95PMzsYZbtziy/WQwtQiry8YNK9/yxeb9gOCU1GUx679nUwZj/dtihjKwnvKQtCPAAAgAElEQVSoy/Ng15BKASUJ0dbvCK98B8Wfob75E4ToIEcOwhIwEGDmUd/+r9ByX+P9y/8LqSyi/fl/g7L7v+J9UEN54z9BLRkgFYg6RFf/DTLxc9RqFSWWQTh7UJxEqVRBOtDfQyppSCRh+1cEX99CTL2P9vpF5Nq/Qn557QENV1cF0+mzSh5nnPEycqrgIF3XT46kFWNfZ76Qo1jMUcynycS1gwFZgKqRmFrgUtWgv3abb2428TPTnJ9OPpD5xSxNMF+OE9RW+eb6Lq1h8JAD8kE0TTtZQxMKivGY2b2mMlOxuDBlcWnS4nxBI6aJo9O4SQCFhAhYWe/z6/WAVMmgIF1+d2XApmJwadpi4qjeFQqKeXISA9MyHx9Ja2YoVwrklT6bN29zc7uLo4yFrRpLUpyaYDLmUb+zxu09F7M4xdJMmvTUHBcnVFq3vuW3n9xg3UuzfGmBqnHfvSoJZs/PMmkNWb/6LZ9c3aNvlZifyVOarjJVTqH1drl+Y4e9vo+iC2Rg0+12aTsqiXSGQsoikbVQ7B61xv2h/QfdIMRjK3ekDOUJImnlOHLCsGC4SvTtrwjrIErLKLOziNnXUNQ9oi//H8KbO2A8wSsfP4cyOw31Dwk/+xuinSboOtHqJ0SNfaLaJwRXPiWqd0BNINx1wpV/R3DlS2Q3QGQnUIoVRGYCwhpyb+MRs7AqBEnjxcv6dMYZZzyeU2mc8iDkWhzlKwTQLDKVWd7JTREBkTeitbvJ9YNQPUVRSKXj6IpOYfECb0vAHhIq+n3nVIjFLTTFZb85oNcaIUtTTKWOH0AP23Vy46OTMwSlEvxnf2rhRWO5ONho8T/tnDTIStpdj409B1uL0RhI9loO37V1ZkdQ0VSOFo8SHpNrV0aP6WdAsUxMUyUc9el1W7RUk24/TxzQDYNYIk4sHmdq2aIsQdo2Qo+TjsdQvQ57O11Gocp23eaNYopcXOAdXk5PkU2oBO0Wjf6IjtOkPVehEIuTiRKYeki/3addb6Jaefr5NCCx+wPaXZdCPsNURYGYYNhuUT8m18Hjcg6HBzLxhG64h9dAtjaI9jxEsYuSNRGxNMQNGO4Rba0hEyZR70/u5gJ98I257yLODrLRQpn8M9R0E9m5Q9Rpg5MaN0iGB88oArpEtRWirS1k5BIVl1HmJ1DmJDIRh+51osaj1hJ5cH9nnHHGy8epBKfjOHied3yNt8Ch29ri25UmDiCjCD+IUA6spFJCGEREfpfbv/+MG7aKbqgQuASF4sFJJDKKkCiomoKqjfOQnqR4eJ53Yho3GYWEdg81cYJpsD/k//xdjzu2JJAQOB77Kf34mJMD+RdGB/+WBwPh4Z/jiCJC++TF78PhgFw+f6K5VkaSSEqEoqCqGpqqoqoKhAfbAo9hu8G3n91iy1fRdYGiGpQuSKTQMA0VxVXRNQUi/4EoZmREGI79sZqqoGoaqiqQUUQUhkgJyt3flbvPRrpDup0eo1yVasVkEDk06h2cI/ojiiIGg8GJ/dCyA+Yy8sny0EbR+I+U40kSAqQYPxhNQ+gGUjNBE4yjVA6ksqKDpoGavPc1RFuEn/7fyMo0Ij+HMvfvo+VMgo8PnH1CQSgCiQDC8UsQAVET2VonmngHZfoSDG3k7h2k92hzw0jSsp9tppcoDAmC4KXNOHU/vu8dTFSOJggCwjB8IXM3Py/CMCQMX4AMVX+AnMpU2+/3GI1OCP2XEZ5j02p2aDQ6NFs9+nfXRUhkFNBtdRmRYHK+RKE8y9vvvcaliol2932XDPsDbE8nX8lTnpygnIuPA2AQR0a426PRiQkQZOAR9HZOvrkgZKPmcGPb5saOzUorxAmevkogo+CxCRCazcZjq4lIe8Ro6CESWYrlKpPFLLnk2GfmeQ69vgNWionZClOzi7z1xjKzqYhuq4ujJJhaLFMsVlgoG3jdFvtDec+c6Heot21IFpks5ajOVijGYNDt0Wh1GboKqWKeynSVaiFFyjx8KD79fo+mA7FMHN3t0mgfHX4cRSGNEyJqAdY6Lm74fcPsJdLtI7sDSMygnH8dZfJVlOTBKx95yOEQac2hzs+jLl1GOSzok30b9e2fIYI1wpv/jnCvAVIfb4tChJlHpLII42GBFCFb28iuh0hXUeQeUW37yHmUG8pnHlHb7XTY3dl+6QfPIAhYu3MHzz2+v2p7e7SazadaOellJooi6vs1mo3643c+49ScairabDTodbtHRLBKoijE83yiIHpooBgv6nU9FT8IcOq3+SZ9mYszr/IPZlx6+xvcrHsEmQDX8/FDiVvfYSUd5+LUDBeTXVqOx2jojzWsI9rV63VpNo9/QWTg4NVvY068etRWHDekG0YPal2MNbeRE6H4kjCUjNyIgS8JQnC8kIEX4UtJEEQMHYEdSqJofL6BFx2ZslqGPt7+jWPbCrC9tcW58xcf1exlRBD4uEpI6HTY39VJJmaYnpshMXAJekNkEBGM+nQ3Nlm1FphfvEDZH7C/tc72/oiRuspX8XO8On2R92clTneXL6+usu+rpH0PRwmJIpuN6ytYl2aZu3CZORnQq21wfbVJY6SjWAmSc2WWF4cMfIXACzlUs0PbZdgbMiiYDJptGkdoWwBBELK5cVy45pgrtRF/Opc+whcYIX0HXBWCAKk4SM9GBuE4sjawkS7Q2yVqfEqU/wXKxX+E6O4g620IIvBtopUPiKp/gfLufwFrnxI1ziGCANleIRpcQnv7v0Y1geEm4ZVPiLptxN46Su411PN9aFtIZwR3JzkC/CayV0MOCtDZIGodLbRsP+Sb2hOuP/2e7Oxs88nvP+Ldd9+jWK48mcn7BUNK2N7c4IPf/Ybh8Pj+unnjGqqq8Orrb5DJZP+4K1tLaLWafP3lF6zeWXnerfmDRLz1zvtPrFbpus4//LNf8OZb77wwaeCiKOLrL7/gN7/+++OTvQsFozBP8S/+W4T6HCMZpSQY1Kj/f//9icneTdPkP//n/yXlcuVEP+dzwcowNVEgLYY0Oz7JyTnOFSW7K3e4UXOJFSdYmJugora5deUGK91HXy8p5f/P3nv1WJKmd36/8CeO9yZ9ZnnT093TPTPkLsklV1iA0kqQBAG617X0IfgVpIuVhIUELiQIMitiJS3dklyO4XCG096Vy0qfebx34ePVxanqru7KrKqsyrJ9fkCjURknIp6IOCf+7/u8j2Ew6PO//vH//EgXe1yX+W//wzUu5aOPdNW/MmgJpOwVlCu/jZwaEH7+/+DvPFx3Tgi427X4r/9sZ564PmfOa8ip1M/zPHa2tqhVj89TehnUa1V2tu8+ukOKCPFHLSZ3f8YTZMo/N0J3zGTzp4/tkOI4Dl9+9imTx6wBvhQ8j1CJUDp3jd/73fd5e0mnV61y2JwQyS9y+co5Vs0p1b0j9o8RTZitlX/28UePbS82dkP+9E6f9vSsmxs/J3LXUd79j1DKIHZ+Q3BwbLFWOpbP/3e7PxfNOXNeU04dNbCzvUU6kyGVThOPn2GrgKdgMh5z6+YNtrce744InRHjG39GpHQJNb38Aqz7NiJwcZt3GN/8yyf6/Ccff0RlYYHzFy+j6y+ogOeTEEyp3b1B7e6Nh7dVt/l1dfuRu/u+z9HBPh/85h+e6HR/crPL1aLJ76+liGqvhpfjROq/wv+LX/OomkuWF/JRdcy/vtF5gYbNmTPnLFEqCyt/dNqdRqMhuqZRKBRfWhFy13H46svP+eKzT3HdExbSvkvg4w2qGJXryNqLK1IvQh+vu0v/w/+N0HnyWWS73aZQKJJIJl8Z1/izEAYBjUadv/nrf4dlPXlttZ2ew7msQTGmv9YdUrxA8EVjyr/4oM7Aeb0DdubM+T7zVMLpex6ddgff98lms+gnpac8J8bjEZ98/CGffvLx6dyZIiS0B7idbfTsKkok9fyMvH9K38Gpfkn/4/8Df/iIelrH4Ng2jXoNMxollUy91p1SPM9jd2eLn/7N39DtnG62NXYDbrVtUhGFclxDf80aWQNMvJC/2x/x33/Q4GDozjtZzJnzGvNUwgmzvKp6rUa71SQWj5NMpZ57IIsQgsP9Pf7u5z/l5lc3sG3r8YUPHjpISGj1sA8+AllFz64+ujDC01tLMOkwuvFnjL74NwTT3lN1lbUti73dHSzLIpPJYj6q5OErynA44IN/+BV//4ufMx6PTv3MBDB0Qj6sTuhbPkspnWREfS0CJwVwNHT4Xz5r868+bdGe+sxbJ86Z83pzqqja41AUhVgsRrFUZm19g3JlgXQmg2EYzyykQggcx6Hf71GvVdnd3qbZqDOZTgkek+f4JMh6DCWWI7L4DnrhAlpqAcVMwmP6ZZ5gLcJ3CaZdvN4BTuMWTuMWgdWbpU48I5quE7/X1m1ldY1isUQymUR7ldY/7+F5HuPRkGazycHeLvv7e4xHoyd3qT8CU5XJx1TeKcd4byHGxZxJKaYS0ZRXQkgFYHshjYnHZsfmo+qYT+sTWlMfy5sHA82Z8ybwzMIJs7qjiqKg6zqqqqEoCtIZrUWJUBAEAb7v4bouQRCcfpb5KCQZWYsgqQaSrM26YTz1K3hW5IHAI/QdhO881SzzRFMlCVXT0DUNVdWQFfnVS1dhNuAJgxA/8PFcF8/zzvSZyRIYqoypyhiqjCqD/Ardh1AI/BBcP8TyQ2w/fCmzTEVVWVpa5u133iVXKHBC5eU5p0AgaNRqfPThb2i1WoQnFJdQNY31jXNcf+sHpDOZ7/W9FwhGwyG3bnzF7du38M5gAP2yOZNFMyEEvu8/ttrNK4kIZ+khj0kReRUQQsyE6A344j0LoZhFp85ncI+mXK7w/o9/wvLyCqo278RyViQTSVRV5Ze/+BmdE9brV1dXee/9H1GuLLwRJQ+flXQ6QyQSIQxDbnz15cs255l5/aIs5syZ80RkMhmWlpbnonnGaLrO2voG0Vj8xM/kC0XK5cpcNO+hKMrsniwsvGxTzoS5cM6Z84aiqOoruQb+JqAbxiMLyquqNh+wfIfHtn98jZgL55w5c+bMeSG8KSu9c+GcM2fOnDlzTsFcOOfMmTNnzpxTcCYr1zFFYc002DAjVHSNpKqivULpAS+CQAgmQUjL89i1HbamFh3v7KKM4/E4hWKJXD5PIpFEN4xnTsHwfZ/JZEKv26FRr9Prdc8sbSSiGZRTBZYyFfLxDHEjivpU+bHPRihCHN+lPx1SGzQ57NXpTvov3I5XCxndTLC0sUjabXN7d0L+4jkqEZf29iZbvQAhRVi6dI6CW+XWwQBL6BRKJUrZODFdRgQO416Xo2afsZxieTFHwu9yVOvQte59hySNRK7AcjlK0G1wtzoikFTMRJbVtQxar87tpmDxwhrle3U9ROjjTEe0anWOBh5CyXLhWoWMrvCtFUWnz86BRSSfJpc20Zk1rHetCd1Wh0ZvjHVSP11JI5oqsLGWwG9W2R3GOH85T9Qdsntrn6YrgZHn2vUSwcEt7rb9h1oOPguqmaC4tEBJHXG014PKGutJmDT3uXE0Qcgq6dULXIr1+fJGnYlQSBYrLObjxCIqcugzHXU5qnYYuFEW1stkpQGHRx26k/uVkiXMbIGlcgpl2ObwqMdYQCSRobJYIua02W/YRBdWWM+o9+59gGuN6baaHLYsAjnC0uWLLEb5dks6MaV2Z5/qVCZRKlLOJogZClLoYQ06HNV79CYeb3LM+zO9yaKKzIWoyU+ScS7HopR0jZSqYMoyyvdMOEMBrggZ+gFtz2PHcvhwOOaT0YT+M6TpRKNRllfXWFtfJ58vEI8niJgmqqo+cw5nEAS4jsNkMmEw6LO/t8vW3U2Gg8FTNwQ2VJ2lbIXrixdZzy2TjaWIR+JEVP2l1NsVQuAFPlPXYmCNqA9a3Kzf5UZ1k6H1CnafeSFIKJpJvlJhwXLYOfTJLSyynvTISQNqH9eYCo1MucLytM9W1SJaXuPyWhYzsJnYAZKZZTmTJKbtsTWJky0VKdgO/XaH7tdliBUisRTlSho/7LNTHREgoxkJygtlDPpsdQW5SoUVbcB+bUioGGQWsxSzMdQvNzmwoxQXK5T8AbXOFDe4J4a+T4BBulBkKSUY9kaMhUaiUCGbiRHdPWCnNsQ67mssKehmispSHs/pcuQkWFhdIuOOUYcd2rtTQjVOZWUBv3+H7TOtxy+h6BFShSLLhsKwNoF8hY1FmUnMpd3eounLxHJlNrKCuzfriMIa1y6XSWEznLqEepJKNklKl7hxKJMtFVmUBP12n+7km3eNHk1SqBTRFYtWtcdYSKiRKPlymczYptUNSRWKLOV9Wkc9JrJOvLhEMZ8iKm9ys62SrSyyZg44qA5wQnG/6y6BACNX4fxGiZg/YTTxIJaishrDEAF3DroMvDe3RNZTC2de0/iddIJ/kkmxYUZIqSdHmH0fkCWISDIRXaaoa5wzI1yKmlyKmfxFp8eudXL3+pPI5fNcf+ttVtfXyWayZx6lpygKZjSKGY2SLxQoFIssLi7z2acfcXR4eOq83KSZ4AdLl3h/9QcsZcvEjdiZ2vs0SJKErmroqkY6mmQxU2Ylt8B6fplf3PmAw97p6ge/sQiBb/kYpRU2sm2+6j6wLZJhZaVEhi53d6vUhy7oCSoLGXTu1Qx5pnOH+NMeW3f2sVSDeHGV964ucmGpRW1ndnB/1GJ3p83IDmYvb+HjhFnKgD/tUz2oUh0J4oVFzq1kWahMGQ7HHI6ebAAohMD1FAqrixTrm9Sf8ZJOhQgRXohIlDlXqdM5eKCNnhyjsrbIQtRi88Yeh32LQDEpLJTICAlZetbSCiG+PaK6tUNVGCQyJa5cXeb8eo/Dzj3PjDtgb2uXvhfeE84Qz/GJVzJk4xqTnTZ7RwNsI0kupROOHLyzLFLzCvJUwpnXNP6DbIp/ns+wEnmxBd5fFwxZ5nw0QlHXiCky/7rRYc9+cvHM5fK89/6PuXj5MpHIi6lPm0ymSCZTmKbJP/z67zk82H9i8UyZCX64ep3fvfAjFtKl52zp06PKCpVUkVwsQ1Q3+csvf8Zh74W+Jl9NhCAYNjkyFljfKHIwHH/tnpNjaTIxBafaoNbu0bNCYIplDdGEhxs9gwFS4GFNLUbCZmRVaWxUWCukie75SEAYeFi2zdQOAEEYAtrs5SxCH8e2GA8dJp5BKp1iIxElGdOQRs4TFdQPg4BRq4VUKnNhsUbrRX4lRIDvTGmMTBZWFym0dr/ZpiQp5AyCwR77jS59O0AwYWpbNGUf208/c8OAUPg41pSxa2E7AcmlRd7JZcmp/VkYbOjj2A6WNxu0hEKAkHAmU6ZeglihxKpiMpjaTAZdusMp1mtYC+c0nFo4o4rMP0on5qL5hCRVhd/PpPCF4I+rTQb+49tJmWaUd997n4uXrxCJvLj2Z/dZXl1FCIFlWbSaTcLw0TYbqs61hQuvvGg+iK5qvLN8BSFC/q8P/5yR/X11295HINwBd+sxKpdXWM3e/XoNXdI0NEngOQ7B1y78AGs8xgJk4yxnFwI8C8sDRdPQpQAJ0FMlLl5M4PghIHAHLQ56D091Q8/D83yEoqKos/rFT2RdGOIM6tTUPG+tLVHuOS8wdUIQeFOaBxNSb5U5t9Bm//4mWcNQwXdsvK9dpQJ3OsYF0MIz7LQjEKHHxPZB1TDu395IhvOXzmHdO7+wuuwe9Bh3amzuhCzkEyRyBdIFicAZUTs4ZL8xYPKa9J9/Gk7tZDlvmvxeOjkXzVOQUBR+N53kJ6kna/y9fu4c5y9eeimieZ+VtTUuXbmCaT7ehsVMiXdXr782onkfTdF4e/kq765cfdmmvAIIED79o30OpjFW1rJElZkbUDgunpDQIgbK135ZlVg6TS4dI3Jig3GBECECGVlS7r1sJGRFQZHECevoEmhREjqEjoMrZi9rSdUxzQixqEksGiVqqMe6iGVdQ9dVpMDH84NTiIog9KdUd+sMI2UuVqK8yNavIvCxunW2u4L8yiK5+3UCQg/HAzUSwZClr++hkcxQyMaJPqK5wSzQT0KSpXveAxlZVlDl2XN5+O5LSIpOLKqC536zPiypGDGTaNQkFjWJRzQUWUEVLqNWjc3NHW7cPWC7PkXE8yxXsmSib3bFpFNdXVxReD8Z50L0ONehDLEU8tIaSjGNpEtgjwhbhwQ7NcTzHn1IMeSFVZSVCGLvNn51crr9zTxKHsJ6DxHmUN+7iGTt4m/VEdNn9zskFZV/lk3zwXBM7xHRtrFYjKvXrj8sWHKUfDlDJq7PoguFIAw8pqMh3f6E6RPVbZVQNINcpUTK77JbHfGox3Lp0hV2d7axbZvghGLWES3CpfI51nJL3zmVip5NkFyJod7/ZQch/sRiWh8wHb8aMXeaovI7F37EZwe3GFjDl23OS0aA1WFrt0vlSomcLCMPIZx06YyKrGZKLBRC5KGD0FMsreQxrRa7o1ljBFnViZhREvcq2oe+QAQuVqCQSaap5Cx6wiSfT2Li0RnbCGbvEknRiMVjIOskSksUDJfuXo9pmEAAwaTH0VGfqTv73gSeje/Hke/tGzGjJFIR4oU8haSCO5gwHHunmo2JMMDuVtlqVXh/OUcgSby4qtACzxtT22uw/v4yS5oEIRAMaHRsKrkiK+Upct/CV0xKK0sURIfN/fCBe2CSiCuzWWHgQ+Bju5BKJMgVUviORjabJqF62NMpzr2foCyrRKIxkqZGPFtmMQmTVpeuD2kBuCNqB3XG/r3ZbeDgCZlkeZHlFAxaHbrDPpanky2myGsKivJmB4eeSjiXIwaXY+bxgUCxLMq1n6D/5ApyJARPgKqAXcX/5U9xP62eZaOQh5FUiOeRF+OE7a3T7776Hvo7Fu6ffUAwjSJVllCGHYL95pm4QnRZYsOM8FY8ys97J7+gF5eWKRSKKMp3Ho0Sp7K2xrmcijO2sHzQdY1w2mV/+4Dd5hj3sYZKKHqUxfMX2LDvUH2McKbSaZaXV+i0Wkwmxw9Eioksa7klEpHvrHPJGkapQPm3CqijCdY4RFIVFDVkemefo096T2Dv80eWZCqpIpfLG/xm5zPEGTq+Xk8C+kf77K+8zZWchC8B7oD9vRqx9TwLq6tkHA+hm8RUn97AwfN1QMZI5lhaN8h4gAixB13awyHN1oRkMce5SybTQMWMakxbDfbbNiEmSDJKNMu5ixq+rBFLx3FbR9w5HOEFs3qwipmiXNa/iaoVFs0DH10CNZpmcUUl7cmYUQPV7nJY69Kdnn5wFvpTattHDErnyUvixVa6CQOcbp2t1gI/Xo7AEAin1HYOyBsLlFZXiBddAjlC3JSYNFw8X0Zw7x6sqqScmSvbG3Wp9ye0W0PSC2mWzxvkPBkjohEO2lSbIxxigIxmJFk8v05GUolE4+jDBpvbLcbi3rRXj1GqFEnfdxWLgP7RISNNI5bNkEvEKVkeoWaSUBy6zREj6/FLUq8zpxLOddOgrB8T2SnpyJULqD95DyVyiPeL3xB0A6SFS2j/+Efov+8QHvw5QfoySsZGjCJIRhv/qy7SxnmUbAScLsJNIulDgs09hJJFXiojJwwILMLqHmFrilRcQ84YEIZgxJBkC1E7JKh7MB0QtlyEqyOVL6KeK9wzMIBpi+DLPURmBWWlcG9GPCDYukMYvYj22z9CPT9GNAfwQQ/RaRFOpuCHSMkS8mIZORUF4SG6NcJqC2EUkBdySJIPwkSKSbNtB1VC++EXsCnLvBOPPVI4l1dWH1lf1B932d+pURsK0gvLnFvIUs4N6Y1CgniCpKkihT7T8Yj+0IVInFzWRHYcQk0D55vZriRrJPN58rpDq9Fj7D0sG5WFJW7duHGicJZTBQqJ7In2ho7DdOeIo00HJZ0k9+4y6Yt5+l/18dUYiXIUzZDA97DrAyZjichylqjk4ik6ij1iPAA9HcWIa8hSSDCeMm1ZuC6oqRhmNoKuywjPxe1NsQY+cjJONKvOrtc0UISP1x0x7rgPuahkSebq4gV+s/vZEy6Ive4IAteiVa3iuUNc36FdrYJlzy7f6bCztY8+NBD9CV7gMTza56ZvUc4miBsK2F26/S7V5oCxIujU66gpHYl7bkFp9n9vOqC3u0Po5MnGdFQc2r0R7VaL6thHMSza1SqKCSCBb9M97NKp1TgaB4TKhMZBFVdXkCUeSMGSkIRNt9EgsE00CQg9Bq0evXabRneCfZJuigDX6lPdD/D7Np49pLpfwxuHIARut8qtuxEqURgOz7olnCBwbfrNBvvqmKHrQrvBnjbEEYLAn3C0tcOmn0CzB9gC7NY+NyWHhXySRERFCgZUmz2qtS4DL4rZaCBbEbSv788s2lbYQ5oHPqGbp5CMoMkh1rBFp9Wh3nUIDZVBs8Gep87ufeAybB2y12qx33ZAluhWD9iOPvBMuf9sfXrVfe44U0qZOKYmgzOm0e5Ta/QYHJsH9OZwKuEs6RpZ7Zhd5ARSfgUl7xN++Bvcf/hyNrus9xGZC5i/dQn14odw7j/HfHuM/1UPrC8J2ovo/+kfompdgloD8u+ixm/i/E9DgtJ7aD9em7kh4lHEzq9w/24Trv8OxnsV6FQJRRq5qCNu/xL332/D6tvof5Al+Ns+YWsZ5QeXkRM5lOUEYu/n2FsDeO8P0N9OQNdDWkgT/uxfYbfWUdfySDEdZb2MfyOO+nv/FLXhETQ9pI3fQn9nBUkOkFQTrEO8X/09gXQJ/Q9+jCK1CBogLxZgfBvvL/4C9+7D4qjLEuuPWTPMF4qPLB4d+i7T8Zj+IEAkbewwhqLqJLNFUksFMhoISSa02mxvNhjHFrj2Thm916Zr+4waTQAkWSGSLbNxdZ3MZI9xp8f4mOlnLpd7pJCno0lSZvLkCwoDgomF1Z4iByoxK4SkjGIYxC8ssbih4w495GQE8vvsfWSReuc8lfiY0TAkrPsEySS5CykMKSBARrKGdIMGIztC6mqZTFFHCgWoEkG7Q/vmCFEqs/B+AlHvY46XXgsAACAASURBVEsmZlojODzk4O8bTL9znbIksZJdfPJAkteeENcesHNj8PVfJje/+iYgBcHoYJMPDx7cx6FXO+T47J0Oe5sd9k48X5fdUZfdY7b4zojdr744dtvsAz3uftE78ci0GydskFF1HcPQUL+zFiqCAG9c56vP71/MiJuffXMcEU45uPklBzwffGtE7e6Ir2/lziatr7cGuO09Pm4/uEfAqFnldrN6zNGGHG4OOTzxbC6H2/3jt9sT6ls3T069Ce3H3gd7OqH5vG7UK8ypgoPiyqy4wcNHMZAiUSTJIhz0vnHJeh5hu4eQTaSkMfu7ZiC2/j3OX9+Aq7+NtqoQ/PLf4vz1ndlMQBIIEUHOZZHDAcHtTYKxjnz+PHI+iSQEGCqieQfvF7/Cr8pISyvIxQde7t6QcPOXOH/y53hfHBD2WgSf3yIkjlxMIg0O8D+9g9CX0N67gnT353i7FqJ7C/fPfk3Qm37zBk1fQvvhW8jBDv5f/gn2z28RJi+iXttATkkI2QCrSfDhz3A/rUJuGWW1wHEokkTuuIHHA8Ti8UcWCpAjMbLFIsvLi6yWkkRDi8HUI9AMDNll0OvRGQti6SzFlD6bmcsC4Y3ZvbPL/jAEZGQzyfKFdZbVDjdvHtCyjndSRmMx1Efk6JpahIh2cqCYpGrohQyZi0Vy5/MkkyFOc4yjJMn/IE9Eshhudxk7OqmrZRKRWQS8ZCq4d4+o3x4hEnFiCQm33qG/1WMy8BAoRJZyZJZNRLNB9Ze7tA5dtIUc6aUYihAgC4LRiPanVbp9mUglTTz6sPNNkiQy0SRvTgnqOffX86PxOMnEt/9LxEyMNzt2Zc5z5lRfH1mSji/zJnwIXAQaUsREkpiJpCIjRSMgXITjAx7Ca+J/dJdgqqPm0kCX8FYV0awSNCyEKUCNgKaAmUA5F4FsDElRkdSZP59ph7BeI9iTkC6NIashPdj3TszEQcqtoF5bhJ1f4v16G6GdQ9JUSJRRrmeRNEDXkaRgthAfAl7w7WlHNocUVxC3DwiaNYJ+nXAQoCbjSP0AxJiw2SLYPoJYB+Hm4ARxlOCxFZVkWX5kRSA1mmJhKULOCwl9h85RjcOujZpNoGgmZlIF3UCVXRRVRXIh9D3G/TaNoY0ai8zWlMwsS7pC0BnSt08OaZ+J+Mn2yJL8yNJ/kqFjLhUpZUIIArx6i85XXWy1gBGTkYIoqYs6hGMGdXs2lJOA8YhhdYw99FBqPUaFPLHlIprt4nYGTAMJLaaj4jLqTpm2xxhZC0/EUKMGqj+LBnU7QyYDBXngQUpF1o+fVyovoarRnOdJgDMZ0pp83wO+5jwPTiWcdhDihCGR775kgjFhv4mYnkdeu4Sy0COcCCgsoW7kkYb7BEcWLAChDz6AQDgOYCClozDRkU1l5ktPnUd96wJy+6+w/2of6ScJ5PMyX0+Qw3BW4y7knkhKfGvyLGtIxQ3UH/0YRT3E+9Un+F4Mefkt1LdK8Lf/AvunOvp/88NvvzAVdSbYD+qA44AvkKIxJDM6GxjowNhjFlkTzmwI7ynvI3x9gRCMH5PH6dg2YRieOOv0hy12tmtUew6e62C7HqQWuFzIkgw63N5s4KRXub5ufFNfUgjCQDywthcSOEMO6grrK8uczzf5vOFwXGlPx3EeWX7PCVzcwMNQj3fnCstifGePo9sWoefjTRz8QEHNBgRuiF+rsvfTDiIWRVd97BEUBBAECCEQSIh+n95Nj2ncwChmSF9ZRBOHTJSQEA3FUFEjGoquIBPgewGhmA3eQvHtmfRxEi8QjB2L74ujds6cl8Wb8gs7lXB2fI+hHxDRv7toMEVU7+LfOIf+ztsY/zxJ0PShuIxSGON//AF+zf+OX9gn3N1GTN9B+UfvoW7pKKUoKBIIFywXIlmUC1GklA66QEonkMwnMDmSQT73Q/Rradi5TZg8h3pVgOyAJZDSS6jXCyjSGBEpouRMQsdCRPIoFxYIPnsgAKq5S7C/jrx4CfUtBTl+HtkYEd6oEQ4Lp/J1+0Jw6Dw6wL3X7ZLN5U4UztD3Zmucw28qoihhiO8HoBukcim8hIGCgmGaRI87nQgJxh22Ny2U/FusX1zioL9D+5iZ56Dfx/NOjr0d2RPGzvRk4QxDgomN1Z58S7iFNWJYd4kVC+Q2gJUFUmGD/V8OvnMEBWOlRLYksGojJlUVIwmEHlZnjJo1iVay5IgjF2PI1phpe4JnPnm1JSEE9cHZRE+/Svi+j+u66PNm1meO4zgnpmgB+L6H53lo82bWX+P7Pp774hJ8nidKZWHlj570w0lV/bqM3ENYI0SrSehHkctLKOU0klsn+PDnuL+4QSh0pNIyitbG/+AWYQAMbaisoS4voJgThFpB5gj/V58QODpSeQUlPiW4W0X4JrLpICQFnBHh3i5hJ0AqZJGVEcHuEYIEctJH1JuExgJqTpvlZ26so5YSsPUbfDePsryCrB7i/qqKVF5Ckfbw9gPkdAGlJCO2B0ilJHS2CDZvEdTHEKugXLyAkvARX/0K95M7hEEKJROB1gHBbgcpkUVOq4jqFsHBdwUAJkHIX3X73JxYD9+/e8QTCRaXlh/+wck6yZSJ6o9pd0aMnW9+tMIPQFKIJBIkDLBHfTqORjSiobgWviphd9rUhx6yohNPJdCsDvvVNr0wRiEXI+g36B6zzrl9d5O93R0c5/hygVE9wlKmTC6e+Y69CmosQiQObr3PsPPt3FUR+DgDHyWdJLmaJBJaDG7WGPQFejGJ7o4Y7E/wPJ9A0ojkU6TWs6RKGmGnS2ezx/BoOouszSZJVGJo/oTB7QbdPRspFkE3Q5zakPFYQoubmKrL5KDH1P62qYEI+fX2J9xtnhze8jqi6xrJZIp4IvHIgLM5p8N1XXa3t9ja2sSyjv8tG4ZBKpUiFnt0zML3hSDwaTWbbN6+RbvVevwOrzjSu+/94yceaBd0jf+qUuSf5dJn0DZMgsJb6L93Fan5OX4rg/4f/yFK72+x/s2vCTrTZzz+q0UI7NsOf7S9/8iC7/l8nv/kP/svyOZyz9z95FnxPI9/9xd/ytbmJu4JI8W0meQP3/on/M6FH6HKr9/LWSAY2RP+u7/+4zeu4LuiqiwuLvH2O++Szed51nLgc2bfl2a9zscffXCvHOXxyxiqprG+vsG162+RzmT4fgeeCUbDIbdu3uDOndtvxKzzVK7aluvx0WjM5ZjJxhOUYns0AgY9BAm03/0v0YwQ0fgC52efEA5PnpG9rkyCgL/vDx/bJaXdbrN1d5NYPP5SS+4B7O/tUjuqniiaAH1ryO36NucKKyxnF16gdWdDEAR8dnDzjRNNgMD32d/bZX9v92Wb8r3D9zw279xm887tl23KnOfAqYOyPx5OuBqLsmjoGM/qgnAP8P7vf/nI6jVvAoEQHNou/7b9iHy0B/j8s09YWV2lWCq/NDeP4zh8/umnjMejx372bnOXG9VNSskCuvr6rOkIIehbQ/7mxt+9bFPmzJnzGnGqNU4AOwxpez5JVWElYnzvGlafllAIdm2Hf3nU4Pb0yWbStm0zHA4plspETfOFu2w9z+Xvfv4ztjY38bzHu1Vc32NgjYhoOpVU8bVI7RBC0JsO+D8//FO2WvuP32HOnDlz7nFq4QTo+T6HjktcUViOGEjP3Ez1zUMwm2luWw7/41GdD4ana1vV7/cY9PsUiiUi98TzeQtoGIb4vs8vfvq3fPnlF7gnBAQdx9iZ0Bx2MFSNSro0a7D7ig6qgjD4WjQ/O7j5ss2ZM2fOa8ZTCSdA3/f5Yjyl7noUdY2MqnA/cfDVfF2+GASz/MGu7/Gn7R7/w1H9iWea36Xf77G3uwNAKp1C02ZpBWctSEIIhBDs7e7wl3/+p2zd3cR/RArKSYydKVutfZqjDplYiqQZfy72Pg0CgRAwdS0+2P2c//03/+98pjlnzpyn4lRRtcceAMhqKj9MxvlJMsGlaISirmO8yGZ2rwC+EPQ8n23b5uPRhH8YjNiznqz7/OOQJIlcLsf6ufOsrK6RLxSJRqPPlGIghMB1XXrdLtWjQzbv3OLo8PCRxQ5OQyIS51J5g+uLF1nLL5GNpl/K+mcQhkycKbVBk9v1bb44vMVhrz7vgjJnzpyn5pmFE+7V7ZFmTVYlie912HsoZhV6vlux5lm576r92mV7Bu7xWU3h2WwzDMN7jW/Pjvvl+GaufOmluSKEuD/jFITi7K9zzpw53y/OpNTx/fW84P4/5qP5M+e+O/V1IhRn3ZJpzmlQVZWV1TXe//FPKBRLvAIe8zkvGCFgOOjzxWefcuOrLx+ZWjbnyZn3CJgz5w1lYXGRH//Wb7OwsIg8rxz0vcUwDN754fsEQcgXn3/6ss15I3j18wbmzJnzVKRSGSqVhblofs+RZZlsLkepXH7ZprwxzIVzzpw3FFmRUdS5U2nOTDzn9YrPjrlwzpkzZ873gfka95kxF845c+bMmTPnFJyJH0dRFFLpNEtLy+SLRZKJFLqhvxKJ768DQghsy2Yw6NFoNDjY32M6mZxZFK0sy8RicZZXViiWSqRSaYxI5IU/HyEgDAOsqUWv36VRq3Gwv3emkX6KopDOZFhcWqZQKJJIJtH15/tdFELgeR7j8YhOu0316JB2q4Xv+4/fec6cOa8dzyycuXyeK1evs7yySiweIxIx0TRt7k8/JYHv43ou5yyLyfhd7m7e4caXX2JZz9ZeLR6Pc/XaddbPXSAejxMxTXRdf2nPRwhB4Ps4rot1acpoMODWzRt89eUXz3zsQqHIlWvXWFpeIRabdZfRNO2FBMeEYYjneTiOzXRynXqtxs0bX3J0ePjcz316ZPRoivVLq2SdBl/cHVO+dolF06F55ya32j5CMll76zJlZ5/PD2RWLi9QiGrM7qTAd6a0q1UOWiMmrkR6YZm1xTwxu8neQY3DvgeoJPNFVtcXyBn3Ti0EgWvRazeptixiq5c5lzlmUDM84uY0z8Wigd/a5rPdPlNPkFq+wMWsx9FuBylXYbGYIPqtt5hD96BKY6KSWlhgIfnNsw89h1G3xcFhg46rYqYLrC8XyEY1FALc6YjawT673YDUxjXeLjtsf7TJkR0SSjoLly6xFh2zdaeNVllmKW5zsNNGZMoslpLE7tkhAo9Jt8V+y0FJ5lhM+bQPDtgdamRKFS6tRPHadW7d7eBF06xeWCEftrnTNrm8atLfOSBYOkf5mOZIdmOfjlmioIzZ2qzSHjsEcpKVi4uUtTEH+w3qA3eeEPiceWrh1A2D1dU1rl5/i8XFJaKx2Fna9b1DUVVMVcU0o2SzOVKpNPlCgc8//ZRWs3Hq2YuqaZTLFd56+21WVtZIJJPPyfLTIUkSqqahahqxWIxcLk8qnaFQLPHJxx8yHAxOPdM2DIO19Q2uXrtOZXGJaDT6nKw/GVmWMQwDwzBIJlNkslmy2Sy3bt1k8/atExsevxwkFNUglctRskbcUhyS+QKLSZ9k0OWwW2UsVBLZHMVpE7WmkM7nyDOk3p5gBQqpbJ71cwqht8teTyabz7O0WCBuC6zRkFa/j4OEFomRzSZJun2q7QmBohGNZ1jdMDGlHfbGA7qSip7Is14xmdb2ORiGMHXRUmnKpRhy0qPTHrPT99HjKYo5h/7RCCmZppjRmXZ7dMcOs5pXHiPbQ+gJ0rkUKWVCqzlkKqmYsQTllQi65ONWBQsbq6zFXZqNHrZiki8tcsUMGH1wgJLMUilNaSrSvfxXmWg6SykhUVUHRFJpiukpnaMhIpGikDFx+z16Yx81niC3vIymdZhIJtm8CoMWh7ZKIldguRxlKlvU9voMjSTlcoZ4pwvRFKViDI622R0M0C2I5JfZyAmaezW6doA1CYiUMpQiErVdebZsKWnE0xkKEUG7Pl99exE8lXAahsH5i5d4+50fUiwWUbXXp5XU60IyleLSpSvEYwk++M2vqB4dPbF4aprG0vIK7//4J1QWFtF1/Tlb+/RIkkQ2lyMaixKPx/nlL35Ov997YvE0DINLl6/wg3feJV8ooL4ibc0MI8Li8gqxeBzTNPn8009eMfH8DkLgTRzUwgrn8i0+bz88C/QnXQ72mnRtyK4ZXF9OkIkZdAKTdEIjmE6ZopNMxkgafVr3ewSEHpN+m+2tJo5kkCwIrl/Nk01ofHHzgFFbI1qOslI2mDT32TwKIQxJJkE4FpaWY3UxTWPafdhu36Jdr7HbHOPdK74S+CFGPgv4WMMuh9tHtEOFeL7MxYtLpNMpUh2bVCqK6nSpHhzQDXQavT4JMWIqIAGAjKxqaJqMjILyqGpdvkWnXme7MYZ0mYvnl8jFVeyRhRXmMM0oSQPiEQ3henh6jGRCZWLGiMo+o/4QVxQBgQhtmvv7dCXIqCXWsoLe0SFbAw830FhbASQJRVXRNA1JUVDkeezPi+SphHNxeZm3fvA25XJ5niP2HNENg5XVVTzfZTqZ0m63nmi/XD7PO+/+kKXlldfGZR6JmJy/cBHbsfn5T//2iTuzrKyucf0Hb7/U3qUnoSgKmWyOq9euY1kWn3/6ycs26WSEIBg12deXWDtXZr8/eKjSkAh8HNfB9vRZyUdJEIQy8XSSpBEyaLYJjDipRIJUXPtGOIUgDHxc28FWZeKyhMzMZe+5DkEgkP0QgSD0HSw7BGQSAvCHHHViLJUrlBtjxt99xCIg8Dwcx8XjXnlFAbPhkyAMAlzHwRE6ppjZHIYetmvTH7ks5vKcvyzTH08ZTyZ0mkMsocyEU4qxcv0KmUAghEIio6MFJ92/EN/zcBwfRchIEojQZTL1wJPIReNkoh6mFjIZjJlqBslMjI5qoodTjvoOInn/doV4jo8HRH2BECGB62DbHh7KrFSmkWbj8kXKboCQdFLpKPpxA4s5z4VTC2e+UODS5SuUypW5aL4AFFVldW2DVrOFbduPbSydTKW4eOkyyyurr41o3kfVNC5dvkqtesSdW7fwHtOhpVgscenKFYrF0isnmveRZZl0JsvlK1fptFuv6JongEB4Q7aqXZauLbNesAi/o5xaeoErV9M4oUoibRIO6rRsmUglhhFOabSbTGMKiYUYqWQMozuZ7ahGSJWWeFvLEigqhmkihm326iMe31LAo7dfxby6xGIlzYGifHtmpSdZOneOZMUjBIQzolZtMZxtJJEvc+ntOKuSihGJEHH61OodBpaLtb2NbGXJJeLkS2nKsk8lY3DzZuPeLQnxXR8vCBGEeOEj6k/rCRY3NoiXfZRonIQypd0Z0OzJFDI+hWicbMpGV2wGnT5WZpFcJklK6Eh2h84khNOspohwNvDwfIQkE4ThfF3zBXIq4VQUhfWNc6yubaDN3bMvDMMwuHrtOo16jel0cmIHE1mWqVQWuHj5CrphHPuZVx3TNHnv/R9zdHjIoN8/0WWrKArnLlxgeWXtlV8qUBSFUrnM1etv0ajXX9FoWwEiYFTdZ3f1bVbXCvTUb7smJULCMCRwp7QP2vQ6HbrkuZiIEovqVJZlXC1OLKYQJOMktclMGIVAhCGBpKBFk2RjAe2tBoe9Jwti8UZNtus53i6XKLg6mvRgwJwgDAVBeK8u8rd+G/cL+8voZoxMUmF8dEi1ZRFIGpI7or4/oKEYmLE42YUVrqws0j9sMvPtWDR3dtm1A0J0VqI5Uictn99rlBAEHna3QWs4oNUZMnRM4hOHIBMnk5HxQotab4JvCpbTaYquijca0ffgVMNcd0x174Da0CaQ05w3TZbmtS5eGKe61al0msrCIvF4/DtbFMxkmnIlT+r+cpoI8awJ3U6Hev9s2mudGZKMkixzddlksL/DEUUuLkWZ1g44GvhoiTQRf8TI8vGfpMuWohON6uh4jEYOJ3lzvmMEkpJi/UoJvbPPnbqFHE2TUW16Iwf/O9XRM9kslYUFGo06k/HxTbFj8TiVxUXS6cwxJkZIlxdZTj3wyH2XybDLQW2AfYpuYkaqwELBJOx3aXbGWKd6uBKyapDKGLidAZNjzlsslVlYWGQyHp8460xnMpQrC8S+E5QmGXFyhTwLGePrJGUR+jjTMZ12l9bo9H1GT0YhWShSSspMOh0affvEZ28YESqVBfKFAvVa7QxtOEsEOD22d9osXi+QVWSUB5TTG7XZ3WnRm7j4nocXSKTX4iSNkOl4ytTxCLwpYy1OJBEnlezSAwhdxr0mm5t91GwJzpeIxKLEtA7WE3jkhXBoH9boFNcpJgz04AGjfIdhr0u9Z+ELIPSx3RA5AuAzHXTY26wxTRRZ21ggZ5rEIjqWnGV9I48+abFbGzEage6GIGmoXx8+xLWmjKcBASGOH3Li0rs/pVWtslMfYgezmWAQApKMbdm4cpFSUtBt9+mOXNSph7KYIid7DGpDHAGnCmkTAbZlMR5b+IqJ4wvCuXC+ME51qwuF4rEvZZAx42mW15bJM6bddxCqSqSUp5jS8L/a+2a941VAklCSRS5dynDY3aU6lVBVFVkCSY5SWlkhNdxiqzZm/AQphooZp1jJEve63H1i4QSYnVeTJSRJJb24xgXliM+2PHz34aOUKwsk7m6eKJypVJpisXTsNlk1SFeWuVQWdBsDLGS0SJGlSgrV+YpbHe/kl8JDB5NRFYXgaXIjZRUjWeT8OZP6cMDkhO/F6to6e7s7JwpnqVQmlUo/vEGPkikvcr6sMh0MGHkSiqYTKefJxWTcWzUGZzXhkxTiuSJrFYW2N6b9COEEMKNRFpeWX2HhBAgY1fbZW8lxrSDxoEaJwMexLKaWPxsIq0my6RiRYMjR3gG7rSmBbFJaWeVcOU46GWPiMls/9Tys8QjXl9hPJLm2sMDGwoDhzpAnyeINRi1262Xy56PI4gGjNJNssYievGeTCBl3GnQDCRCEvoczndB1WmjROOm1AqtLE+x6QKCY5BdWiKZsfBT0aEiv3qA2fophvgjxHIfp1P729QgPy54y9QSaIeFPpwxtn/jExpFzmNKIQd8inPfbeK041dNKpzPHzDYfIPQY9xvcvtPGi8QprW5wuVikvH9AlyiFYoa0qSKFHpNeh6OOjVFcYiXhM7Y1YuqUascjmkqQiukoBDjjAa3OiLEnE0ulyKXjRDWJ0LMZ9gZ0Rw5yLEU+E0MLPTzFIKaGWMM+jfYEXzPJFrJkohpy6DEZdKl17G/bLe71z5QiFJeXWF/ME0v7BHRxVBVv1KXRm2IrCcqFJBFvSKs7ZOyCHIlTrFTYWMkSsXUcS6JryyRzJpLjECoyTr/H1MhSTEXQpBBn0qfRGDAR3HMlQbK8xoXlAhVJwrJ9bh0OsLxvT8cy2SzR6MlpP7FY7ISBzTcX6rsjju7cpRqoGOkV3n+vzHp5h7uuwVpZxxmHRKLQO+pgGUlymRhRXUb4NsNuj87Qnrml7vcblTViiST5TBxThcCe0usN6E4CtGicXC5NMiIjPJvRYEQvSLBxfomlokLk3Ah7u0rLftjSYrn8yAjZdCb7iBQogTsdUNvdYncoocczLJ1bY7WYp7DXZBIkKBfTJIx719VpU+/7mMUlVhIu/YlCPG6gCptuo0Vn6hGoMfL5NOmYgSo8JoMercF9UVeIpHIsrWfQJJdRv0+7N8X9zvvXMCLkC8VHPJ8XRYjvjKnu7jH2eti+TX13F8eZzp6p22fv7jZyV0cMR7iOTHVnj749ZOo9uJY2E6nt3oRWe8ho6iNwaVSPwDEJxy6W02V/10Maj/GEwHcmNPb30bwEindPAEWAN2hw5/aI6eD+0QWT5gG3LIuRFyJCj87hPreDPjFpQteaIjWq3HVNjG8tbwtsx8O2BlT3QrrOzKsR+lN6tUPukCHqujjjPjubAiufIKYryIQMOlP67Q4tJyTa2OeG69HxxL0BpU+vus8dw2LgWExqR2z2XXpTC9GssTUV9I8dNIfY4z6HO9t4EZ9+Z4jje0jdOnduOxjumMYwgFDC69e4vakzGn1zh632IbeEoGWF99zeHt3qPrcNm77tz/4WWrSrh4SKRX/6Ki4DvHmcSjjNaBQjckxW7n1EiO86jEcTXF8j4YaAhKLrpCsrXFmL4Q7GuHqBlUIE75MdgtIa11dDOq0priWYamXWF6JIjo2Dhp7UCG0XIZKsrC9SioLvCRRDpZyOsLPTZJrIs3ZhgbjdpTmVSaTjGJYJ7j4do8D6WpGoZ2OrcVZLUcJPt2g+YLYcz7OxnqMz7tCIx4hqCqqmo+sx0ktlohMZx64xiBVZ38ijtvcY9YaMYTaDMiJEDQ05UNH1CIlIhgtXC6i9Nq2hwygMyVYWKWsuE88gvZTBdG9wYxBn8fwqcdGgOY4TN2VkTyOiK8jHzOZisfgjU0sMI/KYHEaBED72ZMLQVzENl0BIaLKEnCxz9WoOp9ln7I9xR1BeXqRoBjiOQI0WqWQi3L1bZZzIsLicIRAWE88ks1qhHJVw3BA1nyZtyoi6jVlZ5ULZBMfFUzUquS67NQ8zHsGQ/3/23rM5jjTL9/ulzyzvC0DBg57sZruZntm+O7OrVYRCcb+HPsf9IHqtkF4odBV372q12p2NHbM705Zt2GwShCugCuVtVqXP1AuA3TQASHTTdXf9gkEGK01l5pP1/J/nnPOc46No6kNmsUdJp9KI0ukBP7F4HO1UP25EFBzNNEZjAU3QcbwQFAFRUUnl59lYSRJOLEjOs5QRmHzWQJtf480Vj4O9Ho6aYa6gUFQcPtsxUeYWubycRvY9QlljPh9D3m4ezchkjUQqSRjXyCQV3PY+ob1PY/qocsqyTDKZPKN9XhYRnmNycP/+t59YW5vUH9puHu7y5UMT4+rm4MnT+CaNqknjkQ9DJoM22w/tPhh2H9rsY4/a3B89FCEeBriDQ24/8hURk8YuXz188nGLrfFDv9zJlM5Zk/fOw1GmIbbZp7rZ/+4jp8V2v/XEYQBmfZsv6g9/4tOt7vDtndT2+PYOzAldTieYjmnujWk+9Jk17nD/684j53e64O+YagAAIABJREFUNW4/dqJpc48vHz4Qj87+Lg8fSTSlVa1y8p3MeBGcKxRRluWzIzVFhVimwPrGCpfWF1jOydjDPgPHoLw0TzEm4EynTH2J5FyF5YwIQgSyhNfb5+52G1eNkTJEPHNErzugbzp4oUi6WGIhp2B3anx9Z5vdroeWL1LOx1GFCEGI8O0xh3sH7LQc5GSafEZF0jR0McKxJow8iXi+QDl5Sm8dWdTrPUzXY9TcY+fggO2WDfEM6XiSUiaBEVn0BxPGx/aYcDqi3+/Tm9gM2m326gMmUQQEuNMBuzt1mraKoYn4zpTRxEdJ5lkoGA8FXkT0a3W6ToA7qPNNtc/0BFOtLMtnRo9KT62GISIpccqrK1zaWOHSeh7DGXDQnhwXnJYRnTb3N2sMY0UWSxpu84A7X2+y2fbQ8yXm0gb6t6+ARDKbY66YwRB9LNsnUpPkiwUqxTRzc2l0p8u9O/e5s9uiO3HxrS7VtkXgTajd2+PwlKWNiqoiCKff69nvooBiJClWju9zZY6y4TPo9hg4Ipqho0Qe0/EEK9LIzRfISkdWBySZaFDjm7v7tDyVfD6FqqWZrxTJyia17W1ubx5QHzoEkXD0AxIFnHGf2l6DxhiMdJJ0/MlrE0VxFlQ3Y8ZPgHPNOIMgIAzD0ztvUUKLJSmVVfwowO0fcv+wSceJc1WXERDR4knEcEy1GjHyBSJCiFz6rRHDiYvcalBLlMhmC1TCAGcyYCgqaLqCErmY5pTxaIIwsXCJoWoqqg8ELs50Qn9ok0w7eEIMRVEwBA1FlogUg7gqIAgS0hl3/V0UZ0gY2XRafcxigWy2ABmNcNpiYD5shouO/hybXaPjoJ7QdzGHA7qWRzKloUkSkqyR0GUEjpaZPPIUw+9MVOEpLpYwCI4691MIw6PIvrMERZJ0MuUCWhgR+WOq9w/ZbHmE5SOxH/c69EcuiTkNRfAYDyZMJxOssY0bGei6hPLAQinIqKqKqohIvkZMc/DGAxqTKb6kkVbAHUzoj8ZYI5O+KCAoOtmjR3ZmkgPf9znL6Rqe+S4KSKpBKl9AFTTicQ1hfMjtapthZLCgychShBIzUCRAklEFQDh+FzsW9lTAdEJESUSQdQxdIrQmjK0pvfGIfltAiBTKBcCzGA/HtLugFFzKunjibPko3eCze8BnzJjxenIu4bRtC8dxMAzj5B0Cl/Ggzlf32kwD/2jhsSegxjUc1ycI+mzf2aIrJcjFYTL00eY5XiANIBK5Y1qHPkNJxsiUWKksIjsOXQICQUXXVAzdR9MUpMjH8vyjaLoIojAieqBigKIZ5LN5ErS4tbmHVYmxmDdONIM+ioAoyYiigDfo0jHzLBYLJDSXw50xo6l/QpSwcFzz7jiEPzy6HhSVWL5AOeazfXeH7WiZbCWFfMrYQxAlZPHk65tOp3hnJER3XQdrOiVxqjkwxHNN9m7fpeaGBJ7L9NhPIsFREEcAEOG5Hj4xjLiGOvJRdAUJH88LCb7V+BA/DPBdm2mrxje7Q3xVQyNENLIkA4ipGjFDR9ST5BMC05FJRISAgCSLiEJ44kDBHI8JwtNFxppOcV0X/UTXQYRrDji4v03NT1FZWWJRF5EECUVLsjCXRBlu8c3dPoU3iywkBL6b3D64nocuKvTxvAhRMdAVlXgqRSal4I+nR4IbhRCFRJFwfJzASXlcfN/HnJwc2DVjxgvntVra8OPmXMI5HA6ZTMzThfPYxzkemUwfmpEF3pR2e8TSUo71NZuUkmcpZnJnNObRoEqRWGGOpVzEeGBiTy3MKdi+Q98cYCTKpAtl1lQfNWPAdEB3OMHRThaKMAxwbY/QiJErFQjjAq4vksxmiA9PuUnfw/FCEqkCxfSUaduk1Z1Syc2h+AOGoymTxwI9g8DHCwXSqRTFrP/IPUVhiO+4uJFOMl9gXtQInRAlkSFrPCyCHrbtI8ayzBdGTOoj7MfWwvQH/TPTtk0mE4bD4RnCGRGFHvbYZHhmKGPEpNuhNVoiN19mRfPR8jrRZEB7ZGN92/wek9GQ/iRJMVtiTUyDpiKabartoyjTdDrP+rqKG8tSUkdsf2PSdV18IUZ+vkDGbdOzn/xFt56Sn3cwHDCdTk4VzjBwcaYjukOXUI6RvVxiebXEuOphOwGilqQ8J5OSPZxIJ1OMHy+aPwF/TLs9pjSfYn5hgayaJh/3aGzXsM4RWOw6Dt1u5+k7Pic8z8Ox7bPjEmb8LDgqQPA6LW34cSPNLyz/l2fdWRRESuUyuVz+sS0CsqqiKWCPBrQH1iPRZVEYYE9tAlknmUqSEG26tRp7fRfRiBMXprQP+4w8Hy+SjxYj59JkYmD3WuzV+3T6JlMvQo4lSCU0RHvAwX6DemdKqKhoUoQ1GtIdewiqii75DDo9miMfVdPQNZi0GjR9iZguYXVtJDWk12zS9Q3Sesio3aE79ggVGVXTkN0JI8vDU5PM53WC/iHVxoDxY+GSIQKCqKBrEgQe1tQHOcDs9uiMPULfR9B0dF2BcZu9XoQW02A8wFEV3G6Tet8iEFU0VSeGTWdg4QaPCufm3bvs7e6c+gMQRIFsNsvc/PwJ22RUXUfxTVqNAeZj6ycFNUZGDxm023SnAb41ZeyBYiTIJHUkZ0htr06tbyOmCizkdYJhn3qjz9CLkPQ4SUMGa0iz0aU5tLFsl0gzSCV0FG/EYbXGbsfBD0UUTUXTJJx+l8EJIn7r009oHh4SBCfPOkVRoDy3QCb7aBSxIClH1gjPpNcdMbI9fN/DFTQMJcQZdelMZQxdJyZ7tPZbTCSduOrSHYPGlFa9zzgQ0BMGkj3ksDOkN7IJRYVEKo4hOHRrh+y1x7jS0frdUX/EwIpQdQUptBn0howeWxw7Gg748vPPGA5PG7U9X2RJJp5IkEimkM/0fc/4KeN5Ho3DOve+uUOve1YY04xnRXj73Q+eeQIvyzLv//oD3nnvPTTtZzCKFVTSxTyVlSWW4g61zR22DkdY50gW8LyYTCb8yz/9I/c3752aOUiSJK5eu85v/vbvXliFENHIsHxhgytzIt3729zZ7fJ9lr2dxWg05P/8P/53er3uqX5QWZb54K9/y5tvvX1GdO3rg+95bN3f5B//4e+fmkrweSFJEnPzC1y9dp1sLjerj/szJIoiJqbJ/c177GxvvbR376fOuYahvu+zs71FqVRidX3jR5cL9dwIGrlikZzq0d6vsd8zX4lo+r7P3Ttf02o2ThVNOAreOqzXuH/vLtduvPFCZhlyPElaA7vbpTWccoKV9QfheR6fffIx4/HoqcFDW/fvUSgWWVlZfa3zJodhSKfT4evbX73UjisIAmoH+9QO9l/ad86Y8XPgXKZagPF4hCAK5PMFjFjspz2KjVwG7SbV/QaH/SmO//K962EYcliv8dFf/kyn83T/mGUdBXAVikXiicRzb59gOqJZP2T3sM/Q8p8hSfezE4Yhezvb/OkPv38mf8xoNEKSJHL5AoZhvJbvYhRFmOaYO7e/4ssvbr3qy5kxY8Zz4NzCCWAep3zLZnOomvZadlg/BYIgoNft8pf/+BOHh/UzZ5sPY9sWtuOQzxfQdP21rRzyML7v02o0+Nff/TPmePzM9TjHoxGiJJHJZFFV9bV6F6MwZDKdsHn3Lp9++vGZEdEzZsz48fC9hNP3fXq9HrZtk0wm0TT9p2+2fcm4rsNhvca///H3VKt7+Ocw8QVBwHA4ZDQckEql0A3jtW2fKIpwHJvq3h6/++d/otvpPLNowvG72O3gus7Ru6hriOKrv9cgCBgM+tz+6ks++fijU/MLz5gx48fH9xJOOOqwmo0GrWYDTdOIxb/LYSsIwms18v8xEEURQRDgeR62bfPVF5/zb//6O9qt5jPPNB8mDAJ6vS771T1kWSaVShNFEYLw6tvnqPxSgOu6TCcTPvnoQ373//0T1nT69INPwPd9GoeHtNstNF0nFot/u2TtZd1r9KCslO/jOA712gF//vc/8sXnt2YzzRkzfmKcK6r2NCRJIl8osr5xgYVKhWw2h6brT1SQn3EyURQxnUzpdjvUDva5f+8u43OYK5+GKIqk0mk2LlxkcXHpyCcYi7389okgCEMm5ph2u81+dY+tzXvY9glZ3r8nsixTKBZZ27jAwnyFTDb7wt/FKALPdRkOBjQah+xsb9E4rM8iGGfM+InyXIRzxowZryeiKCKKEsIp2ahm/Iz4ttj2LO3jD2W2KnrGjJ8oiqKwtr7B+7/+K0rluZn75GfOaDjky88/49NPP8F5jlaenyOvf7jljBkzvheVxSXe//VfUZ6bn4nmDFLpNG++9Q43b771qi/lR89MOGfM+ImSSqcplsqv+jJmvEYkkklKc0+m5JxxPmbCOWPGTxRBEH4Ua3hnvDxm78TzYfYEZ8yYMWPGjHMwE84ZM2bMmDHjHDyXqFpJksjmcqysrlGemyeTzqDqGsIJxXyfPxGe52OOR7TbLfarVQ7rtee6hk7WZAprecqXSmQqaWKZGLIq8TwWB0ZhhDNxGDXHdLa71G8fYo/toyLYzwFRFEmlUqysrTM/f1SGSzeMl9Q2TyeKQqbTKf1ej3r9gJ2tLSzLem5rWGfMmDHjefODhbNYKvPmW2+xsrKKphuoqoIkyS/Vjh5FEYVikcrSMlev36DTbvPl57fYur/5g8+9eLPChQ/WSS+kUQ0FWZMRJfG5rosLg5DccpbKGwtc+btL7H1cZfMPWzjmDys8mz6Ootu4eBFdN1BVFVl+uW3zLIRBQHlunvULF3nvF7/izu0vuXXrM9xZ4d0XhIgWz3LhxgZFp8aHn9ceKjx/vEcsx/p6hUougS6Db49p1Q7YPhwxdUMiQSZVmmelUqSY0pAJsUadoxq53QlOCIgGhfkKly4WUcZtdu9t04jSLF++ykb2sd9PGBAMa3w1KXNz8fEycSHdzc/52ilzfb1ENiYjEBF4Lma/TbXapDW08SIBNZFlYXGepWKSmAKBbdI+bLBXHxIkimxcmEMfHvD53RbWI/csIGlJKuvLrBaSxFTwXYve4T6bu31MP0SI59lYq7CQi6PLAqE7oV3bZ+twSJRd5vJKmWLi4XSPEdNOne3tfTpkqSxXWMzHMaQIz57Qa7ao9aByfYPy41Uao4jJYYtwrkTyib7Go3XvDpt9gczcPEulDAlNInSn9Jp1dus9+hOf2dDzxfG9hVPTdTY2LnDjzZuUy3OvtMq8IAjIsowsyxiGQSKRJJ1OU56b4/Nbn32vPKFG2uDiX2+w9PYiqXISSXlx+U9FSUSURBRdIZYxMFI6uaUsd/7lLr1qn8A734JlRVVZWlri5tvvsrBQwXhBtTmfF6IkoUkSmqaRTCaJxd6nVJ7j44/+QrvVmi3Yfu4IiJJCPJkkI6s88WbLGS6/eZWLmYhhu0fDETDyeVYuxzHEb/i6NiLILnHlUoWibNMf9JlGGpnMHJcuyEhU2W5boMdIFQrM59OIqs80H6N+aNNv1tibaMQyJdbKKqPaLtVhAM4UuZAglw7Zv7NP1+e4+k7IZOThGzrJdAJ53KDedwjUFKXSEm/EFe7ePeDAjrO8scqFkoo3HtEeRGjJJHPrq6jKAbWxSiKZwPDUx3xUApISo3LlKjcrGla7Ra0TomUKVC5dJSnf4cP7E/Jr61yYExk0mjQckUy5TGVtCdfy6Wo6yZSGMOnR7JjHA5EIdzJkIiQpzC9yoawz7TTYnkqkCgUWViuI4R6H9TqOppAoL7KW8TjYPKDrRjijMZHnowsy+dV1KsqQ6l6XkesynGrMb6ywWtQJxkO6bR8pmaG0ukFclfhmp0l7+gpqIP5M+F7Cqek6V69e5+bb75DL55Ck1yuPgizL5AtFdN3AMGL8+T/+dC7xNNIGb/zn6yy+uYCRNl561hU9pbNwYx49pfPF339Fe6vzzOKpqipr6xu898tfUSwVkWXlBV/t8yeeSLBx8SLxeII//uHfaBzWZ+L5ElHLS6yXDKzdL7m9O2TigdywuHFzlXKlSL0vopQLFHSXxvY+240hdiSRyhfI6QG2FyEgosdjZFMS/nSM7aukMmli+3X6zTrjvkEmSrJUEDA7NXbqIYIokSsAOPQO6uw4IQ88FmHgE2oAIc6wTW1/yDhQ6a9e5GqlyHx+SOClKecN/F6d+1uHtB2Q4ikK2TiqfcYMTJRQkiXWKwnobvLZnRYTL0JS+/jv3WRjZYHywT6xVAxDMql22xz0HOrdPgklYDq0EOcAfCb9HrVqi8Hx6xqFIWEsRy5uYAgOzW6LvZaP2upSM8AejhgHQ/qqQTleZjXp0K8dsDM9yulMf4SIDqUV5mMWzdohzYlLlFtlo5BAGFS5v9OiPQkQ9BwXLq+wWCpQ6I3pT038F/uq/Gz5Xoq3srLKjTffJF8ovHZmvweIokgimeTipctY1pR//+MfnvnYS7/ZYPFmBSOtv7KF4w/8qlf/7hL2yGZQHz7TcaXyHDfffodyufxaF3d+GoqisrC4yHu/fJ9/+92/MBj0X/Ul/UwQSWTTxKUptXqfoenihYDTpD1apJRLkjA84kkNwe3QG4wYTmxCwPU8hhKEvk8oaiQSSVKqT681oCfkWEmlycfqDMceIQpeEBEREfoejhsiSsKxuEX4no/nhYRAGEUQPYhkjAgDH9d1sWyHZmfIUrlCLBEnT4yY6DMajuiOLKYh4LjY4wEyAkY2ccotS8ipDGkloN9q0DPdo+twehx0LS6sJcnFPZp9EyudZOXKZTIjk7Fp0ml1sLwA43iGGYYBvu/jBUc5jKMoAttiOjaZlgosXrxMvDRhNBrR7fUZWz4+EAkyfgAQErgezrd1AQJAIgiBKMTzPBzXJxGPE1N9ht0B/eGEqQfYXTqDEuVUjERMQxNMXkEJ4Z8F5xbO8twcl69epVAsvbai+QBBEIjF41y6fJVmo/FMPs/FmxWW313CSL060XyAKIuUL5dZ+cUy7u+3mPbPrh6Sy+W4cvUa8wuVH7VoPkCSJFZW17h6/Tqf3/qM6WTyqi/pZ4EiSwh4uG7ItzFaoYcbRESihCTKyKJAFAQEYfjtTC7wXILjmDwxFieRjqP6ExqNNgNDo5JNUMjF2B1Pzva/CUk23nuLuYCj/cIRu1/u0jxhV98PCUIBUZSRBRGRkCAICb697gDPCfCQedxz+tAXIkgSEuC5D89MAxw3IEJBlnwG+5vcsorM5ZMkYxkWsnnmi0l27u0zFAF0isvr6PkKbgRENr3DBtX9Ad1ala+8KXP5JKlEhoVcnvlSlv2tLe40z5v+TkCSREQhOBpcPDDGRD5+GBIiHuUoPudZZzw75xJOSZJYW99geXkVWX69zLOnIYoimWyWm2+/TXVv98xoW1mTufSbCyQKidcmKbasyay9v0p7q4M9sgmDk/0WkiSxUFnkwqVLKMqPzzx7GqqqcuONm+xXq9iW9b1KrM04DxGTqU2ATiqtIE4CCCKQ4yR0CdF3sDwb0Q0oxXV0RUbGwUNAS2bIxiV808SJxcikkySTBsvrGvNynIQBYT5NfH/CmY6TKGA6HjPwjoUzmmL70QliKxCLaehKhOvYmKFGIhND0xQ0CSwfRDVGOp0ghkdw2lgyCgksG0dIE0/FEWvjY9+qSjqpIYY2U0dBlQScQYOtfgtZ0UiUlri6nKOc6+KGAhDi2haj0QQ7BCKXie0RCiKyGGH322x3W0hajEy+xNpKjkq5xVbT5nyOiAjLdvHCOPG4iqwI4EQgGRiaghJ5OJ7PrJjdi+Nc6pfN5ZibXzgh2EQinslTWS6TUx98FhF6DsNel9phD/OFGtsFFN0gbiiE0yGjx4IxZVmmWCwzv1Churd76lkKa3kyi5mTA4GmY9p36tS3B5iTAEGPkdlYoHI5TzrmM+k5uKFKek4/daQXBT5up08/yDC38OzilsjFKa4X6O8PsIbWifskk0nmFyokEsknN4oyRirH4kKejC4jCiGeZdKu19kfeCBo5OcT+O0eI++kDuoIKZYio4VYUwtLSrNcyRH3Bhw2uvTtk4+SVZ14wkCcDpgISRZWK2SdJl9v93jWmNl0JkNlcZFet8P0e9bsnHESAqKskc6kePA2hp6N2WrS2rhIaXWVtahN3wY9t8BiWmTa6DGa9Bj3CpRTaSqL8wRSn0mkkZsrU9IdGvsCYz1JWvMY9/s0hy6R4uGRIp3KUEwcYp78Gh/jYfYGdL99FwMCWThe/iUiaTHS6RA1m6SymCMZmVSHYw5tESObYa5cZsWJ0M0INZOnUopBv0VtCAgisqqTzqSOZqBRhO+5OKMOh+Mya4vrXDEPaE1C1FSJCwUVp1ul5RrMXVwiL4yo17v0LQ8/jDgyID8YZAc4U5NBd8Dk2HTrOQFSKk1xYYEFzaZda9FxPLwgRBAEIoHvEf0a4fR6dCc55ucXWPUkmiMPKVlksRAjMhsMR9OjWe+MF8K5hLNYLJHOZE7YIqLFkszNl8mFQ1pdi0CU0FMlCrkEemDxZd3ihc0VBIVEtsRSUcHcHzFynnxjFFVleWX1TOGcu1JG0U56JD7Dr7e5+x9tbCNBKqvgHrbYrVt4yFxYdml+0Waol7k6p3NyfHFEYFm0PvyGnfibzC2kz3F/kF/NYdzSTxXOdCZLoVg88WDVSFJZW+VCJmLQG+NKOtmFZQrxCPPTfYZGmUuXMrRGA0w/+M7M9QgSqeICa4kptVoDyz7yM0m+f9yBnPTVCkYyz/JKBq865P44wHUcbM8/5wgbFiqL3N/cnAnn80SUUFJFrtxIHLVHFBGOa3x4u8k392JcWcqwciHFYhAhyiJ+t87ufo+RbRPWD9jWFlnOF1hP5ggjEREPszti5CskUnFUd0htb4f7HR+UGIWFFa4vJynmYuzWzujVBZ3y6grJh9by2s0dbtsiAiKJ8hKXkj6BIKMINq39OrXuhJHnsr+voizmKa2skw8jRBFCa0itb2KTAVElnpvj2o3M0T0HHtNenS/u99m5t4++XmR54wJzQYggKYijGt/cb9K3QZp4lOeLrF3MshRESKpCOGxz2JswjecAhWS+xIqR/jYoxzd7HLbHWI6PXMizdjnNQhAhihLhsMPB4Qif82eiCadddrYN5OU8xaVVCkEIkkBk96jut2iN3dlylBfIuYQznc4Qj5/iYAcIXSb9Npv3WtiiRqpQ4frVAvOFJF83PIxcmaVSEl2KCOwRteohfUcmUZ6jko9jyAKhM6F12KRjuhDLUC5mycY15MhnOupx2B7hahnmCgkMEcIgQlJVjFyJhbSIKdg4QZ3a6NGuWZFlSuWzE17nlrOIJy478Rjtd+i2Q8p/u8ylt9LQ6tJp+CjimMYnB9z5cwc7PkGJS6xeULE269R2TTxRI7Uyx8JGDPPDL/nyTwcMkhKfxq/y9lsyjY+qHDZsAlEjc3WFlYsJVPlJM3GqnEKLn+6lSSQSpNInD2oU1SCXT6K5NQ52dulFGtlinhQWgVHkyvUlFnIaiatreN9UGeoFyvkEcVXEt4c06128xDzrS2UqcY+4FBI0PTRNwxBlZEklkc1QKqZJaRKRN2XQGzH2dBY2llktatiiRVDv4+k6hiAjCiJyPMvSQo6MLoNn0W3UORi4nKTD+XwBXTv9/mechxDPHlG9e5eR+uiWyLYIAotOdZevJ2nSMQ1ZDAk9h/FwRG9s4wYRTPrUdn2m/QRxXUYixLenDAZjxoGCI4LbtOh3p1hOBE5Au17ltq0TjgOiwGfaOeCr2wrTwXFIUBgwOrjPp+MnuyVv7OBOG9y7M8JQRITj/R3LpN8fY9o+YeTTa9TwrTHphI4qQeg5TMdj+iObUA3ZuXuPzsPGnijAndj4gcvgsModZ0Q2oaFKRz7byXhIp2/hhRGt6i7hOElCV459vC7T8Yju0CK0m9wPpyTUR3+7gTNhMBwx7tp4kyEpQ0ESjgKipuaYXt8hAkLfY1Db5tbQp/2EN8mnvbvJ58qEoRMcTUBCh0Gjxj17TCaho8kCke8yGY/pj6ZY3kw2XyTnEk4jFkM7q/OKjhYlH5nyIjQ/IAIiROR4gfVLy5SjAYcDgdzSGuloyocHKusXVykHPdpmRDybZ84xGfkGueUVLuRlnKlNoKbI5xPo4h7NKMP80gIFcUq3O2DkiQiihCQEBIFPcELPK0oSqVTqzPuL52KI0km+TRkjn0CX23S/3OW+lSNTSJC6UCape7QaVQLXR8woyHKA3WxxcKvBQDSIiW12/nWEp12nKAV40whyMqoC48/v8Nm/jsncLGOMO9z/Jw81e51KSUV+bAiqp3TkE2fDR2iajmEYJzUKvu8ynngI6QyLqxXiExvLGlDrDRgLOUJZQRFCQs/HF+OUF+dZ0GxGtkp5KU0ictm1ZCT5KCDBDwJCJUauWCTnuAwnoJYXWMmI2CMbP56mKArQc48iFoWIwA+IJJ383ByLkzH3qx6Z9TWulgR6rQliaYkrSbA+r9J1wiesE/FEAvkn5Lt9tUT47pTG3i6N03bxpnQaUzqnniPEMYc0zJOivV26hxO6j3yljz3usT/+7iN70GJr8NAuUcCkdcA3rdO+06Q6OvWCAAhci37bot8+YaM/orZ7xgl8m36rQf+U7w+sMU1rfGKQEl6Pg1HvjCtzaFljTru1KPAxWzXunbiDz6BeZfD4Mb7NoGMzOL2RZrwgzh0cJJ0VrSmpJPJzXLkax5cVjEQKyeyz37GQMyuslhII3SGSKCJrSQqVPPGmRyqpo43Bsy280MNxfEKjwEI5gzrZY3OnyUivcOPyAsV8iokpgAjedEjjoEbdiTEnJinILt1Wk6b5pFFYEISndrySIp8SSauQubbGZUehtjWk902VdiiiFoos/XKFzHyOXHGCu1Fm6VoKf7OPZ4UQByF0MQ/HtDsRF65WyP/zIdH6Gleuqez+r1scNlLErwWors3obp+Dg0uUcyqy+vi1nZ2tSJTEU9omxLPG1Hf30Co5spmwKCLxAAAgAElEQVQCizkBIXQZtmvcu9+h2na4WYLW7gEtO0VakRDFo3SAkpYkn42z1RoymNjk/QH1Zp9BUGDpwbOVFTRdJyZ7TF0b04bQmTKa2Dhdk6WUQr9Zpz7NcmSgFpH0NEuLGdT+N3xztwOFKQtx5xQz8ZGf+lVHOc+YMWMGnFM4gyAgCIIzxFNAUlRiqRRSLEE2FtLb3mav5yAuauhCiOkGgE+3ukPXNfEci92dQ5ZzMfLFGAIuI0tFlXUMBbzpBMuyMX0Ly4tIqTKKLEDkYU+mjAYWtqwRHc9to+jk4JYoivCfkr828HyiKHqyg45CIj1B6a0LZC7aTPpjhpsH7N7eZ1ePs1Y52l8QANfF7piYdoiYl8AVkSII3ACEoxBxURAQcJn0PdBVFCFEyJS58D+KpLMy0gkOj8ALz8xfGwYhQRCcEO0sABG+2WV3a0BdNYgnEuTmK2xsLGM22mxHD54RSPE4SV0GJyQKjhagPwhtf/BUjtanPfR47DHdZpuEmCaRy2GEHpOBw0A+9rMc//XtMYKIICkYKrimydixCepVTEk4+s4T7s/3/Vn+2hkzngez39EP5lw+aWs6xTkrf2joYnYb3Pl6izvbDboWKKqCIkSEroMVBFj9Onc396n1Tfq9MbYo4E2OZo7VxgBXL7CyWCAphLg+yEYMQ9eIx/SjnJmuj+eHQEQUPtQZR8KRuVaWOWliFgYBo9HZdp5Jb0p40pQnsOh+vs29vzQY2uqRz/JCjlQcfMfHDwSEKCT0ArzBhPFeh56rU3x3g+X1OLIQET103sDx8EKFWFoBNcHi39zgxgcVimtlCmWZk8Yl9sjGd04PTXYcG8s6IXBIkNDiOZbXllnOqXiTEe12l5bpgaSiyUdh9Ee+UAktW2A+o+J2D9ltjpl4IYjCtwntBVFClkTEhwYXohDhOxM6jSbVwx7jyKAwX2I+o0IEgigetcuDty2KiAIH2xNQYkniqkqqvMTljTmy6snrzyam+dSBz4xHcR2H6XS29nXGd7iuy2S2HvoHc64Z53A4YDIxiZ2W+/TYxzkZDfFc2EumuDFXYaNncmfQoT5IszC3yiXJJ1GI41fHNN04pfkScWvIwInwXQfTtnGHJo1WjNV8nqUVg7KaIBaMaXfHjKMsj8SPhgGe6xHIcbKFAnmzRXv8aHCQ5/u0mid6J76lV+1TXC8gPe5gFCLC6ZTu13Xa+x2SWYVwNGYipymuZMjlJ0zUkG61xeFCASWlo3km7S/q+H6AkgbroE33YhojLeJUD9jevMTCuyuU/r7L5u++oecN6Np5ri7lScafVM5Rc4QzOX3QYpomo+GAZPLJ5SiCIKIm0iwU4sTTE1xkYikYt9s0zZBAt7CCHPnFMr2Ri+VFGLkSS4YEXoCgp8jFpwS+R6QmKRczDAbytzNQQTVIZ/KUYiFT0yP0XaaWw9T28FUXT0iRLpYp8UD4AgJnSK0+Jpuf4/IFHSE3RyFq0KuebI7tdjvYs6Tv56LTabO1ucmFi5de+3zFM148rutSrx2wu7P9qi/lR8+5hLPdbjEcDCgWS49tCXGmYxr1JtJ4ih9FeI5Js7pPjCyKKBGabe7fVfDnk8RjIlanzkFrgud4NFoGC5kYqRSEw0O2DlsMTZv+XkTo5MklNCR3TL3Rpt4a4egyrUOQx1OcCPBtRt0mVT1HPFDQZREeW/Dgue6ZS1EAGt80Wf/1GorxmC9USlD+5UWi5CGN3RGW5SEms1TemKdypUBK0AjeWcLfiwhQyb+xxgX3kGEYoq6scWMhwUEzwBYzLP7VBtaOx2Tsk3zvBm9b99mvjTCVJPPvLFJIyzwRnxRBd7eHNTw9w8hw0KfTblNZXHp0Q+Rjjdts3QOnnCapychCwLRdY7/RpGFB2GtwbzcgLWsIw0Pu7/hkDRnR6rG342BmNCIchq0Ge36aeCgiBxa9VgvbmzAaT4iiAYaSJpHQidwRh40u9Y5JYLTZPYCMIKNGJt3DQ0JnguOZHGxto7p50oYOwzp36nWa9smm2nrtAGs2ezoXvW6XW599wng0IpVO85pUkpvxKojAsiwO9vfY29t71Vfzo0d4+90PntngLUkSv3j/V7z73i9/VCNY3/ep7u3w3/7r//XUzEG/+V8+oHy59EKroZwXszvhw//tYxp3mmdmDrp67Tr/6bd/c3IShB8xw8GA/+e//zfqtYNZ5qAZM2a8cs7l4wyCgJ3tLarVXXz/x5F3PwxDBv0+n3/22VOLW/uOz73f38fsmM+tkPQPxXd8dv6yy6A2PFU04aht6rUD7t+791yLeL9qXNflqy8/p9frzkRzxowZrwXS/MLyfznPARPThOgo/V4sHn+tlwhEUcR0MuHr21/xxa3PnumYUXOMkTJIlZPI2qtdAhH6IY1vmnzzL/cYt59eFs2yLFzXJZfLkUymXuu2eRaCIGBvZ5uPP/oL46cEds2YMWPGy+LcwglgTkyiKCKVSqPr2mtZJSUMQyYTk/ub9/j0ow9x3WdPeTxqjNFTOrG08crE03d9urs9bv+/d+gfDJ55BmzbFo5tk8lk0A3jtWybZ8HzXA7rdf7873+i1+3MlqLMmDHjteF7CWfg+/T7fazpFMOIoev6a1Utxfd9et0Od76+zScffXiuItZwZB7tVfsIgoCW0FANBfGkxZUvCHtk07jT5Mt/uE13t/fMRazhaJY2Go0YDQfohoGhGz+6aikT02R3Z5v/+NMfaDUbsyLWM2bMeK34XsIJR+LZbrdotVqIkoimqoRRhCAcZel5mbO0KIoIggDHcZhMTOq1Gh9/+Be+uPUZ3jlmmg/jOz7Ney2soYVqKAiSCMfJEZ73/YVBiO/6OKaL2Zmw9adtvvjvtxk1x9/L1xoGAf1+n8PaAQgCuqETHp/nZbfNsxAGAa7nYVkWo+GQL259yp/+9AeGg8FspjljxozXjnNF1Z6GJElkczlWVtcoz82TSWdQdQ3hpcS/R3iejzke0W632K9WOazXnmuAjKzJFNbylC+VyFTSxDIxZFX6NinADyEKI5yJw6g5prPdpX77EHtsP7fgJFEUSaVSrKytMz+/QCabRTeMl9Q2TyeKQqbTKf1ej3r9gJ2tLSzLmgnmjBkzXluei3DOmDHj9UMQBGRZRtP1s3NMz4DoyK/+tEGbIAjouo6iqq+d5ebnThAEOLb9UtJzvj6OyRkzZjxXVFVj4+JFfvHL9ykUS7OO/gw8z2Nn6z6//7d/ZdDvn7pfMpXiV7/+gEuXr6CfWI1oxqsgiiLarSYf/eXPbG/dPzs17HPgxxlyOWPGjKdSWVzkl+//imKpPBPNp6AoChsXL/Gb3/7tmfv98v1fc/nqtZlovmYIgkCpPMcvf/Vr5ucXXvj3zYRzxoyfKMlkinyh+PQdZwBHsRrLq6tn7rNQWTy7JvGMV0qhWCJxQr7u581MOGfM+KlyHOE+49l5WtDc7HG+3hy97y++kWbCOWPGjBkzZpyDmXDOmDFjxowZ5+C5RNVKkkS+UGR94wILlQrZbA5N139yZo0oOioOPBj0OTyss7O1RavZeK4J7zVNY23jAssrq5SO7fWSJH0/60MEfuBjjse0Wi2qe7vsbm8914gzWZaZm59ndX2D+bkF0pkMqqb94LaPoqPC6b1el3rtgK3NewwGg1mi9+eCiJ4scO2dK8xZu/z+oyrmY9H7UrzA5SurLBdTxGTwrCH1vV3u7Q8wnYBIUMjML3JhZY5yxkDBZzpss7u9T7VlYoeAGKO8tML1a3OoowabX92lFmXZuHGTK/nHXpAowO/t8am5wC9X9MeuN6J55y/csiq8c2WeQkxGIML3HEadJtvbNQ77Nur8Otcv5JFa+1SHCsWNNZakPjv3t7hdm6JmiqxfXKXs1vjoi9oT9/yDkHNcfGOdldiY7Xt77LRtHj69oOhkS/NcXF+gnNKRQpdxv8XuTpXtpkUoiMixLBevbLBaiBNTwLVMmtVtvtzqYYcRESDm1vj120uUtCn3P/mG+12BheuXuVhJ83gZX6dXZ3/gIWYrrGcf7ertUYeD6j6TwnVuzqlHTzn0scZ96nu7fF01CZLr/O1vVmDzQ35/38SLLfPBr1Yphm0++3CLmimy8MYNruZsWqZGNiUwPjQRkklK5SSPeoIDxq0mrb6NMV9G7uzy8dcNLDRS+UXeereMUN3k48Mk7/16EWnvK/64m+BX/8NFikGXL/74BdtmSKBX+NUH68h7n3Frz8T8fvltfjA/WDjn5ud5571fsLK6jqIoSJKEKIo/Wd+KYRgkUykWKovcfOttagcHfPrxR+xXf3iNu7fffY+33nmXeDyOLMuIovRccs3G4wmKxRKXr1zBHJvc+uxjbn366Q8+78rqGu+89x7zC4vIsvzc294wDDLZLCsrq7z3i/fZvHeXTz7+kH6v91zO//NFQBBEZEVB9aUnx2RyjhvvvsGFhEOrVmXPEoiX51i8fBVDuM0X1QFBfo3rlxfIMaZ50MKMDArFApcuiUjscK8xJTJiJHNZ8jEdIUxSyMepHpjUtu5gNXTiuTkuVXQGu5ts9wPwbJhfQVMddm7t0vSjY/EJmfYc3KSEospY7QOqXYtAz7E4v8jNmIxyZ5+eKKGoCpIsIkkiiqIQz2Qpz+VpdaaMBAFJllFC8QV4wURkWUaRJaTH339RJ1de5vrVBVL+kPrOIZYUJz83z7XrOlr4NffMOBtvXudaLqJbq7I9EUgU51i9egPF/4QPqxO8QCBTzJM1DAxNpVzQORiOaB3s4vQ0Evk5VucTRIM2tcaQ0XSCp2dZLEY4ozb71S6jECAicG1sXyA7J4I/Zu9unYEcJz83x8aNNEnpFn86GDGNVCrZJKowgXSKjKZhyClyhkTLNkgldZRgiB9piIqMHI6p73VoNHXSpXkWCxpet8V+c4xpOYixDGuKgix/1waCKKGqR9nZhOM2lGURBAlFU9Eoc3Ety/7tHoEgoSgK8hNFi18u31s4dcPg0uUrvHnzbfKFwo8uH+r3RRAEJElCkiRUVWVtfYNMNsvXX33J7S+/YDqdnvucmWyW//Sb37K8vIoRiz33QYcoiojiUUepaTq//uCvWags8qc//J7hYHDu88Xicd544yZXr98gk82+sDzFjzxrTePajTcolkp88vGH7G5vnytx/4xnR1tYZjUnMbh7h893TSwfxMMpwnsXWVgokelKqOUsWdlk7+4u240hDhKH7Rw5A6ZWAIjE4nGySRHbHGA5CslMhsTuAcNOC3NkkJVzbMzJTPtN9mshgiRTnAdwGTQbHNgRDxJoRWEAcYAQ1+zSqA8YeS36zmXeWM0xl+vzRLIwz8V1RdRUgUqpx+R8KaufG1I8SbacJxUMqN67x92WSyjqZIY+b90oUVmep1GLsVRQsA5u89HXHdxQQDzoMFwrIpj+0XMQk8wX4ohmh6afIZbNYGhjmv0e04FAUkhSLugwHtA6bNL1wChmgBBnMqZdb9A6No5FRCjxDFkiAm9K7/CQqi/TaJnwi+ssrZTJVw9oDUKWk2lSUoswk0SemoySBrGUjOTHiWsiTm+CHRhEKBA4jHpdRqGKq6QppiWs4YB6rcM0kskomaOgteP+MxAUVEVEBE42AIQMB1PiS2usVIdsvSYVE79Xj6cbBjfeeJO33n6XVDr9o63A8TyQZZl8vsDb776Hpml8+vFHzy6egkAmk+F/+p//M3Nz8yiq+mIvliMxisfjXLh4mXg8wT/94z+cSzxj8Tjv/eJ9rl67TjyReKltr6oqc/MLfPCffouiKGzeu4f7ghc6//wQSWaSaMKEnaaJZXt4EeB36IzWmC/GiWsu8bhC5AwYTSZMXZ8Q/0gQRYEoCAhFg0QySUpx6Tb7dMU8G8k0+eQB/WFA5IcEYURERBQG+EGIiPRt5xmGEWF0JJxhFEL0ICAjIgpDgiDAc326/TGTSppEXEWbPj7gdBiOPCa+Qm6uRLE2eZkP8hgBVVOJxyR826TXtXC8CJgyGfXp2wsspFOkRxpxwaXV6TBxj9XNH7F3fwqBRxhGiLkChaSMVatRVSQuFjIUYk36YwcrgCAMj57f8fMJAoEHCXQivnuecPSv9NC2IAjwvRBrOqA5dFmdS5KVXdp9E4opsrpBmFZxRzUGYoVEIoYRJonJLubIxlGOXShRRHj8/WEYfft/PwgIIvHo+uQY+cWL/HVxjQgBUZLR8DmxF4oErPoeo9VLbKznqW29HlrzvYRzbX2dG2+8STqT+cmaZM+DKIokkymuXL3GdDLh008+fubjfvM3f8vCQgXppVaXEVBVlUplkb/+7d/w9//3f33mI69du87lK1dIJJOvpO0f5EV+6+33ME2TvZ2dl34NP3UkUUQgxP/WVApEAUEUgXBkvZAEgSgMCcPv9gmDgPC4kI2YiJNMx1E8k4NGi0FMxyvEKeTjbA/NU2YXxwhprn7wK9YfdOzBkM2P7nFwwq5HAvug8MLjWyPc4ZDuVEdfzFMpS7wS6RQEROEoL3UQPLjziCgKCCIQJBFREBGIHvPhhw8VqRDIlfKkpCm1jkmTAfP5eXJZA6NvYtlnPFFBJbewxi8yFXwgilzGnSa7u49PwSMgxA+P2lkgYtwZMLlcIpVJIyVh2u7QFUvk4knyUhIjdGhNPZz4OR5I4GFNO+wdjvEEGT2WYWkxduruodPm7t4Cv15ZYrU1QBFPm52+PM7dWy9UFrly5RrZXH4mmg8hCAKpdIaLl6/Q7XbZ2z27Q5ckiTffeou1tY2XLJrfISsKa+sb3Hz7Hb78/NZTA29W19e5ePkKyVT6lba9KIqUyiWuXbvBxDTptNuv7Fp+ekSMTYuAGJmsijgJIIhATv3/7L15jB1Xft/7qeXu+9a39242W6S4SBppNBrJM+P1OWPHiZ2X2DGcOEDiwEiCLECM7EGQlwC2kcT2MwIveXlxnCAxbAf2c2YQx0a8xPaMZ0bLSBQl7uy9+96++1571Xl/VJNskt0tNdktUmR9hAuRt6pOnTp1Wd86v/NbSMcVZFtnZGlguoylYsTDIVRMbCRi2QKFpIrd72HE42QzSdLpOKeey+IqERIRF/I50qtDegd2waSxuUXLFvhLcjody+X+X6dEMhklFvYwDQfLvv9x6rk67Y6Gmk9xolQiagIfqYVfYFk2uikIRaMkUyq0HZBCqJEUqYiH3RvRH7lYUpJkOom81fevVYoxeXKCSL/GejtEuZQgHFaZPf88Y4RJJCJQyBCv9OgaB1hehIs+6FPZajPw/L+b2hBNyCTv2lFGVmLk0mEwdIYOuN0uXXuKTLmIErao9gyaQufkTIpyNI5qduibNvb+unc/no3W77C+5jsHpQoKxQOEE1w6a6tUps4yOw1ClTEOcbrj4FBPbFVVObFwkunZ2SBp9B7Iskx5fIJTzz5LZWtz3wotkiQRj8d5+ZVXPxLz7EFEIlFe+fRr3Lh29UATcygU4tlnzzJWLj8WpnlFUVlYXKRS2aLTbgc1Ox8ICTkUJV/IccuP1bM1ettVKotnKJ9c5LRco6VLxEuTzGRkhhtt+qM2/WaRcibHzPw0UqTDwItSmCgzFtbYWhMMYmnSIZNWtc5Wx0SEYmQLBcZSGUrpTXoHTv1czJHOyLllWnSRIwqSLAEyaixJLicRD2WYniuSdgcsdUcMleQebXmYgz7NZp/x0jTFsEH3GNc65VCEZCZNyYv65lHHQrd1eu0B5skC8yfn8WJ9TCVBaWqcLBqVzRr9Xpxqv8zC9CLPGVvUNI9oYYpn51JoNxpUvSLjKRmjvsF6y8B0JeLFSeYyGfKJCK3+QUsWAte20Uc6ox3nIM8RKBEFkFCUMKlcnrIUIVueZi7p0Fmu0XQFuF3aA0G5VER1mlzRXTRvgHlikmI8hL4xxLCdPV5qDkZ4LpZlYyITdXwT80Gv4p7e5OZan/FnMkRVhUe91Hko4cwXioyVy0Qid7uLy/EsE9NTPFO6N3+jg6EPqNRgajJM/cZVlrqPepL9YEipMU7NFYlqNda22nTNva8jHA5TKo1RGitT2drLuLST2mtunkwmu8eJYkyfPslsbMjKjQr1kYUbLbK4ME7ObbG62aA5dI7UVJHJZpmbP8G1q1fxvL0FaKw8TrFUIhS6R+iVJOMzE8xNZbhz9wXmoM3W2irrveO737FYnImJSTbW1mi3W8d2nicWWSWcKXPuhdzOg08geut8+Z06V96PIE6UmD75DNPCA+EyqqyxvN5mYJh4lTVuhDzmyznmThWQhC+6re0mTUshV04QMrusb2yw3HJAjVO0wmQWkhTzSZZGB7zoSHGmTi1S3FXhQq/e4MJIRkImNT7P2bxv5sTqs7GyxVZrhFfcuznhGPTabSrNIsWJ47WUqIk8sycTlG1/RO1Bg7XVLTarm9wMCebHy5x+towQHq6tsXWzws2ahuVaLF1ZRlmcYPLkIpMIhAC7ucVSzSQ5XSAl61TXKqw1dQwPQqMImbMl8tk48fZw/4m0pJLIFVmIpnF2htQ1hnTaHYbIhGN5Fp6LMQ3geQzWlrm63MUSADr1js65fBLRHtCzPSxzyNCRKcgWw76GZbnHn6tHOPQ2NqhOZViI8FEkBzqQQwlnsVQik73/YS88G0Mb0ekJYqks5VIUr9tgo6VhOjYiXqQ8FsFYk3j01ukHQwrFyRZyJNQe2zXggBe8RDLJ+MTEgcI5d2Jh74OFzdCQSc1NMj/oMVgXhMbHmR1PYmzUcWzvWEZwfuEkN25c31c4JyYniSf2WMgQLpahM+jLWMiEk2kK+SRxMaByRDVFD6JQLJLJZQPhPBQeltblxrsXqN71BBBgDTE9E217g8tam3gkhCoJPMdG10b0NRvHA4wB2+urDFsxYmEFGQ/XMhkONXRPxXBMepLJoK9j2YA9pLm1woVBGE8zEa7LcHuZN0cqxs7LtOc5dJYv8aXa/dYsVxuimyYX36kTUXbchISLYxoMhhq66SK3Kly52EIyNDRboq/3UGwdQ3i4gzbrVy8x2JBw9BH6Uf803T6bN6/Tq4TZ3XvP1hkOTEzTZGvFot+IEQ3JSMLF2RmvkeUhsOk3Klwx+6SiIVQZPMd/rnaHNqHKTd7qegxbI4Y7Zmu7ucH7F1so1pChLXBbFS5fbIExYuD699Ps1bn5vsZ2+G4rkXBtTMPAqL/PaP1Wj72dmemInube/q67cpmvNENgDuibLp5oc/2999kKC4zukJHtIdXWeG8Uwh0N0TwAl15tg/eGKq422hFhl2F7m8sXe0jmEH/uYaP1Klx8qw2jAYYx4uKbPaRRH8fQee91DdH1vYqF3uL6xYtUIzL2QMc4uvD5Q3Mo4cxkMiQS95tDhKXTrVfQ2nHy4wqZnIzV2ubGUh9XDZMYLyLJKrHcNM9PZYlLBq2NdW42DJREkROzJfKJEDg6rcoW622XzMwc0zELTYSJRcMoWoemoRBLJkmrJq3tGpXGCDuaolQeYyIXJyQsBu0Gm5UW/VtzeUklmiyxeKpAaDDAiaVIqB5ac5Mra33saJaFExOUkmEk16Bbq7Ba01BLsywWFSxbISrpbOvR2/8g5EiG6fEieVWnXq1T69t3iVk0GiOXy+87jrKsUB4f32erQ7+6wfrEWU5MlChqKfITaUJaneVmHyOSY26uSCkVQXF0WvUa1cYQJ5phbHyM8UwExTPoNOtsbWuQKjE/l0EZjXDDIbTNJZb3mPWPj08gH7Bumc8XiEbvDUwHPJN+q47ekwnFM0zOJcnpXZrVOnVNQo0mKU6MM5WPEZZcjGGX6maNhhll6tQCE26bbZFmIqPiDhss3azRsRUyk5PMlFLEVYE1aLOx0aSj27j3dD2dzpDc4zcZcBAC1zHo1LbZt4CWY9JrmwesRQpsfURHH+3RhkO/bdC/a3cXSx9Q1+98ZQ27VHabTYWH0W2wsa+Tt05d6++3EU8f0tLvNKjpu5YeXAut10I7cHH1IRAWg06bwf4VybDu6d89DSBci2GnzV57uL0WW/f0XVgjWvVdNm9nSPOe9h1Do2No+99nRgz277LfxqDN1l07mXQbjbu9YEd96neZ3z3MUZ/GPd9Z+oimPrrrO9scUq/e6rdJ/faPwqJ+lye0Q7/VYP9fwEfHoYQzGo3tXRnA83AtC91WMS0XT3i4jo1umIiQTHTH5TiViTM0IDU9QymsU2s1yT6zwMm0zmalj5wf48QJD01vEM8XmS4JWtttrGiKUjFNptemZYVI5HMkZBvNADc3yfxkHDHoMyRGfnIKxTG4vDXCf2eSUcNJxmfGSbQcrm0OMabmWHwmxKD1Ps38JDNjMUbbbbziBAsLglFvHSOVZ3IqgTvo0moNcHZcvSUlzthkhlQmgtkcYFr3W/dDodDes7MdJFkinc7su90ze6yvt5k4U2ThGZlkxKRys03LiFCan2Y2Kxj1NJxomokpCeE16IfzjBdjyIaBraaZnlURxibNUJrJ2Qki7Tob9R7mPhaydOZgh594IoGq7hWr6+HYFo6IkUxmKSVltEaFlWofQ4lRGJ/m1FwGedChbYXJTc6SCYN9UyM3PsG8GsJcaTNkklMnknjdNpo1zunFcSLdJvVBhGJ5mhOOibnZZWDePd7RWIxwZA9BDwgICDgmDuXlcSszzIMgPBezt83qygaVoUwynyEVyTA1mSWVSJDJpEgn4mRLRYpxlZAMkrAZNOps1PqYkopsDWlWGjRHgnA8SjyTIpPPUs4mSKcSpJMJMukkhXyKyF0aIBDCwx512disslIZQrrIZE5GUhQURSUWjxILR0jks2TCCjICIXvorTrrm026mo2HTDw3xsxklpDRpVpt0zPc+0ynsiwf6DwlwQckDfAY1SusdyGRieL2mlRbQ/RQmlI+QzGdIJNKkErGyeXSZNNxIrKMooaIRqPEY1GSiSTZZBhJCITnYIzarK5XqY/2tlH5/dlfOA+895JKMl9iZjJD2N6Rl3MAACAASURBVGizttGkY3iokRi5Upa0PKKytMbNtSrbeohCuUQxutMPz6C5tcWN1Q56OEUuHSY1NkY5kySVSpFNx0km0pQLKeLh+7Pc3EruEBAQEPBRcagZp+M4uK77AB61As9zGPb6DPUQA92FtIKiRIiGJNzeiP5wiNUb0MSiM7JIC8A20AyToXCwXQcMC33kYtouXkhGDoVQVQVsk1G/R0vv0dq20YdD7jV/C8/DMkwM1yVk2DgoRCMxCtkkcclgYziCqIPIyCgSSAjAZtTXGGkWTliAJBEKqXiSQFVkPzZrj6v1XBdnH49afzTAsqyD6/rZAxpdnWfGVEadPiPdxkupqKqEY+gM+z36Vo+6ZzAwZRL5BDHZZTQY4cQipOMS0o6geK6LNRzQ0+1910f9LDz7L/w4to3neXuIlEQ4mWVyskReNaitb7PdN/GQCCsK4ZAKtoU2MjAVlaHuImVDREOAEAhzRE+zMTGwhO8tGwmHUXAY9EcMNJtOp4mn9Rha96/vuq6LF3jUBhwRH7T0+fH00HjaOP67dKhXdV3TMI0HjKARAnfHFfp2yLRroFkCPJ1Gpcp238QyTQx7xw19x6vuVrYLxJ3/gYSwHSzbwbRN+p0WlUafoeViWzvZTnYhyQrRZJJMNEImEyeEhW5EKBUzxLwBW5UOA3snmFrGn3wJ37PttnOfEOjdOpv1Pk4sS7mUIRm6f5Zm2TbD4f4+78LzPkS2Hg/HcfwgacfFEwJhWZiOi22NaDWa1DojNNPBlcNEUwlink6n3aGt+15u8u2uCcSuQPW96HY6CLH/HsPhcFcw9h2kcILixATT+QjuaEDfgmgqSSYZJSx7GKaDHImRycaJxeJkEqrvMHGrKU/sjO+dcxu6iSM8rGGTzW0/Tky3TFz3frO4rmkYD/qbfMIxDIPh8INWsAJu4XkenQ9wMut1u0da1CHgaBkOBkdaxGI/DjXj7HY7DIfDA9fvDoXTY3O9RW6yyOIzYZxoHHVQodf6kA9Cc0S31aaXzDM2e5K4LZA9jbq+x1K4JKPGsswvZkgWI9itbTbaOtGexnQ6x4kTCq6noTsp8hNZ+kLZ463Cw9T7bNdc9OlZJsZKjPdG6A39rhmurmsHenm6rke1usVYufzhrnMHofdoNHpkyzlmFuKMISG0NlstE10z8QopxicEI1mg2yqJbJ6i+HB+29XK1oEJEFqtJoZhELnHQUiNpykVsuQTKrooMBPOMA14+oBGo02n3qSZLDCxeJKErZIIaVQ36jRN2NulR6DVt6kUZylMzfJsViISdWmu9WnvcSm9XjcQh31o1utcv3qFU8+eIZlMPeruPNa4rkur2eDC218/cL/Ll94jGo0yPjH51OTn/rgwHAy4euUyzebxJ0Q5lHA2GnW63c4BD3wbfdBidXmE0/bL6gjPwezUuLGk0tH8vJT96jpXhhp912C4soxi5MnEFBjV6Tbb9E0Xsb3Fza5BV7dxrDabawb0NAzbo1OrQsigMxzR61W56VmU0hEUYTHodWj0rftmV8JzMYYDBmYYd3uDSrtGVdOI3FwmVEqgujrt7SadQY4EDppWZ9kS9Iemn6bK6FHZgLAxoNs2GXoKVkpC28NKOBwM2K5U9h1H13VYWVrihU+8dOB4270Gy8t9zK6J5QHuiMbmBpg5cokQkmPQbbdo9RxUy0MyUkRck6HWpt5MklYdzJHB2pKO0zk4Xcry0s0DhbOytcVwNLwvHEk4Gq3tCtLw7p+SZ1qYhk5/VOG6sBhLRwhJGv1Gn1qtzdAJU19bQbh9LATYPdZurCA1TazeiJvXBYN8gpji0W/32G7rmM79M+Jmo0GnE1RL2YtOp83FCxfodjokUykeefDbY8wt4VxaunngfivLy3iux1i5fH9Mc8AjRDAYDFhfXX2gwhWHRXrxk5/50AZhRVF46eVP8clPfZpk8mMSAiCFSeZneeUbpuH62/z+teN1ZtZ1jfcvvssff+mPDjTpJBIJ/s/v+37GxyeOtT8fhBCC2naVX/vVXz7Q5KmqKp/7pm/h3PnniMbuTXTxaOj1unzlS3/ElcuXgjqdAQEBHxmHWuN0XZeV5SXWV1f2TSf3+OFhG3221ipUusebpNJxHCpbW1y7euUD10F0XefNr30V/QHKkB0VQgi00YjXv/qVD1wXcByHq1cuUa1WcB+DNR7Lsrh5/Rpbm5uBaAYEBHykKBOTs//XYQ7QNA3Pc8lksySTyduem48vHq49olVr0Rwd3wPf8zyajQYX373A6vLyB+4vhKDTbpNMJikUS48k969lmlx6/yJvv/Xmh9p/OBggyzK5fJ5Y7Ojrhn5YXNdlc32NC++8Q6NRfyR9CAgIeHo5tHACaKMRjuOQTKaIxWLIT3nCd8dxaDUbXHr/IjeuXf3QXndCCBqNBslkkmQqiaqGPhIxEkKgaSNu3rjO61/7yqEKQg8GfSRJIplMEo1EP/IYStuyqFS2uPD216lsBbPNgICAj54HEk7Xden1uoyGQ0LhMLFo7JFX+XhU6LpOZWuTi+9e4PrVK4cOjbAsi9p2FVmWiUajRGNRJOn4xOiWE8SVy5d5842vMRwcziPVcRza7TamYRCORIjGovtkFDp6hoMBqyvLvPP1N9ncWP8YLRcEBAQ8STyQcIL/AG63WjQbdYTwA+Nvvf3LkvQxMOE+GJ7nYVkWo9GITrvN8tJN3v76m6wsLz1wfJdlWayvrWIYBoqq4nkuQgi/AK4sP9QsVAiB4zgYuk6v16VaqXDh7a/zzttvHWqmuRvHcajXa743qwB2ihpzBP3djeu6WKbJYDjYEftLfP3NN6jXasFMMyAg4JFxKK/a/VAUhUw2y/TMLKXSGKl0mnA4skdF9o8/lmUxGAxoNupUNjdptZpHWgsyHA4zNT3D+MQk+XyeWDz+UOufruuijUa0O222KxUqW5sPLJh7oaoq+UKRqelpisUSyVSK8BFYH4QA0zTo93rU69tsrK8zHAwCwTwEkiQRjcZIZ/x/jwFHh2ka9Ho9LNPcN3HIrbq7qXQ6CF05BkzToNftYlnWgclbjoMjEc6AgIDHj3giwelnz/DiS58kly88MmeuJw0hBM1GnbfeeJ2lmzf2XZ5JplKcPXee5194kWwu9xH38slGCEGjXuONr32VleWljyRb0G6eTHtqQEAAk5OTvPjSy+QLxUA0jxBJkiiNlXn5lVcpFPapng3Mzs3z/CcC0TwOJElirDzOK6++Rjb70Y9vIJwBAU8oiUSKXH7/urABD0exVDowGUg6nX4kD/WnidJYmUj0o1+GCIQzIOBJRSKYaR4jkiR9QBbDYOyPG//3/dGPcyCcAQEBAQEBhyAQzoCAgICAgENwqOooAQEBTwi3Ym4BhMutUqeSLPtx2Hi4rtgJ05WRZJBumcSEwBPe7Tq1/nbpjsFMCDwhAAl59/e3Nu/sg+TXpvVu+fVLMoosgfDwkPxC8Z63UyNXQr5tdvaL5HqeQEg75xC3Qor3Op+/UUjSfTMFgfBDnCQFRbr7e+Hduo5jQvKvSdp1XWLnumD3vdjVL+HtXLd8e2zv3u63wU67u1q+fV92X5K00w4IPNdD7NyDvYyf/jjJ3G+h3rkX99zve88p7cT3y7e337lm4QmQZGT57t+EJCvI0k7fDjO2x0wgnAEBTx0KsVSJ5157kYWoQf3qG/z+tRGSLJM78xqffzaN1LvJ//qjZdqWTHZugfMLE5TSUVTPYtCpcuPaGhstDYME4yfmOXWiTCkZRvVshq0K15fqaNEyZ87PUbrHd8MxLfT+CCmhsH3xdd7YdEBWCRUW+fzn5nCvvc474Rf4xnmD93/vbW4YMWbPnmZxKks2ooBj0Kms8N61Ks3INC+dnyYzrDFQEuTGy2TvSWRldZu0ekOc4jwzO6WEffF2MPpVLr2+gnn6FT4zF90pXu9hjrpUVm7y7s0OxgcUgX8gJJVYusjJZxdYGEuRUD0Mrc/22hLvXWsyQmXshc/yLQuxOwXpbYNObY0L72/QTCzwmRemGU+HkW9dD+A0V3m34hAvTXB6IoGyc7WubdCrVbh+c53lph8+I4UTFOdO8dnni4hOhbe/cp165hm+9bNzZO9TTpPVNy+gzb3AyUKUiLJ7HPusvHWFLXWCxcUpJlIKCIFtanTqW9xcrrDZcshMz3P+uUWm4jvHei6m1mN7fY1LK31CM+f4zOkw9Xff5KvrNrISY+6VV3m10OetP3ib5ZGH+5ioZyCcAQFPKUKAQCJVLJK4rqFLMSbKSVzvzoMhOX+WT58vEe5vc/NSD0PNMjU7wfMvqMjvLlMPT7M4lyfc2+DdS12sVJkTs2MsTDvcWN3gnTeaJNNZxqcnKMt9Vm5s0TQllHCK+XPT5Ip5Qpt1HFkmPVYgKfpc3RzAiTtPyPSJ05ybidJZuszlpk14cp4zU/Oc6o+whrcuRqe2XmNpbZNkbozZ6QIxvcnaWoOO4RJOZZnN6nQr21xdbWP6T3w8x2TkQA4P1+pw850ValKc4swcz5x/mbT6Jn9wvYu1Ry3YB0cmms6z+PwZTqctaqtXuTSSSZenWHj2OVLKu/ze5Z3yh6LP0jur1G0I5ac5PbfA+RN93ur7ctnduMnqdp+BtTN/szT6aoGTJcGoWaGyVaNphEjki0xPTvDMgo3eX6FqSYQiEXLFHDEU7Fia8YLEZnONt77SIqKGmThzjkVlm3feqzJwXYY9m6kZQG9w6UaVtm7vzAwdtN4Iuezfh/rKNht1HZEtMTM5z/Nno4SvrtMCsDWa61tcXe3gxNKUZ2aYn5nD6LzDpco661PnObEwR6myTC83x9kJle7Vm6xo4rERTQiEMyDg6cXzcHQTO5WjHN1gTS5STpkMhxEyAlCyzM8VSJjbvPXuEpWBicMW2+Y5XjmVZ7JYxxEhVEXC0XV6nTbNeo/tdRnJs7EsD8GQkS2RLI1RUHS6jQZVQyKcsIj3pziTy1FQGjTlGOPFGKK3wupAcGeSKhGNhJARWMMh7c4AvdOnel3gWDZuNu3vJjyMYZ/GUKARp1TOoOoj2o0GNVMlF8qAcDG1AbXtBtquh7ASiZMDPM+k16izZUlUK134xlc4PTPB2MqAquNwZPnB1CiJ3BjTKZvG8mVev9bDQSK03cf59EucmZ1m6sZl/JB+h0GjzubIwa0LcuVnKSfihEYKEh6O1qXZaNHS71yQlM0BAscY0mnU2ewLQiMHJZ5gPhIlFpXAVolGM5STMGrV6UUy5MdyKFt1Gts6spogfRIImzRrTdqOh0ecCQE4Bu1mi+rA3CVmEmkB4KIP+jSqdbqVNkP9JGdPZCgVMlgjQLhY+ohWs4MVF0QK47hxB8t2sIwey8sNJp+f4syJHrXSOCltiz9a6uF6j5FqEghnQMDTi+fiGUP6ySzjY1GqUoGs1WFTHycdAdQE6YSM2erSs2xsz19nGnYGDK0CmUQYs9qjNciysPAsn5mcpd/r0ajX2dzuYOwspt155okdU6jAskyajQHeYpaxvErbyjOWlugt1el5UOLOMe1qnfbEHDMvvsz4qSHdbpdatcp6w+auieBO257YtY7qiZ2ZtY+En0tbltjZd9fGW214Atfrs902ODWfJBuSqBkc2YxHUkOEEnFCrkm/08faSSNp2yNqHZ1zcwlySdjeuX5/7VYhOZYjE5axDR3HTSAAIaSdnNbcXvfddSZAQpJDJOIJ0nEZZ2himAIpHCWay5GSdRqVDRr5JOfzRcbDNTYsELfN0+L2OIld5lsZf31WSPjrm3etBfv7e67BYDRi6KRJRiMkDCCcZHzxPN8xf9bPce0YtDe3WG97CM9Eq69zs13kE8+eJSdD5b0VatYxmMofEvW3fvP/e9R9CAgIeED+75/+Wf7X7/zeAx7t4Th9mv0cp8p5JkQG2jfoyuUdBxLf0UPs/HcLcfthLuEOtrlysU+9WKBcyFDIFjhxpkgxu8bV62tUhns/8oRtY7Q7dLw5SuUsa1qeHH1uVIaIe1xPnPYqr3+1y3g5TymXJp+f4kx5jNz1y1wdHeJyQwkK82f4P6ZO+VfjGAyqK7xxba8KQTuiuiMOR42EjIR3n+AIz3equu0vJOU4902f5VkBkhKCUYWLGwO0cB5QKJx8js/Ne7dNpq3VG1zvAMikJk7wyeIMLwgJWfIw+w2W1ms0LIlwKkKhkEAxW1SqI/reCKeQY6KoslH5gLl1cpKXPzeGe6vvgwoX3t/k/lG888sR0s77iaPT7WxzY6OLpcTIFErMjc9xdjDijZUBtqmxuVxloTRDor/CpXX9sTLR3kItl8cedR8CAgIekFgs+hBHC1zHpjHQOLcwxQlPon29jV3e2eyO6BuCsVSGdKjB0HBxBMSSCRIhgak5SKEYWRW0VoUr21so0Tzzz8wxn06RSUaoDPcpsyccLKPDdm+a50ol5kZJGGyxNfCF4w4qsVSMhGpR21hjex2UxCTPf2KWXC5JzDmE0cw1GTZr3NjoYYudPmh9rL2i8pQ4xXwUyegwtAVHaSkUroOt6VhqimQmiVzr+17EcpR8NoawW/RvvRAIja3rq9RNG9s0GQw0hrqFVwIQDOsV1usDRjaAhzHoMVCKjCMwui2q1QZatMhUOQWjIZ22hk2ITCxNMR8nEY7w4mfH8NQwMcWhVM4TqjQONksbHVZW63Q1xxdDe0hrZKGm79lPChOPx4iHBJZpY3gR8FyMkW8u1wkxMCSyhTlyhQzR1QGacHEGI0aOID4a0T/SteWjIzDVBgQ8xQjXRW926T87R97t8l7dRNx6l3Z7bG52mTk1xpkzNrFKH01NMzVbIun1uNEyUHLTLE4l8To1Nmt9zHCcVCyE5LkfUDVI4FgmreYQ7/wYcyGJ/kaN7n2HKBQXTnE671Bf26LaNZFSceJhBdd18MQhasEKgfBcHNvG3vm7J4WJhf1ygJIcIpkvMC5CZMbneCbj0Vuq0rC8o1vfBHBMtF6TmpZnbv4ZPiEq1DWZZHGSxaygt7ZJxYIMABb92s4ap+fh7phQb0m95zk4jo29U9FQUlUURUFC4Bh92vVtthwTh3meKeSZHGvRqkvEs1kyYsT20hqrPQ8lHCU/NcNsochYqEH1oCJEwsO1/fN6ACJEOOSHLIFMJJ6iUBJkkwWmZ4okzDZL7R5DdQwkGTUcIZVKElZiZPMZ0iF/vfqWRgqxM4P2BI9rLaRAOAMCnmaEiztq0RzMkXVaVHS4nd1WePTWrvOuPM/iRJlnzk6CcLH1NkvXNthoDTA1lVgiwmxplufGd+q/GgO2NupUuwfXpxWOjd5u03JKjKtdVqqjPR6UFrWNLbLRKconnmFS8h+s1mCb5Y0ePQ6Rp1SNkCpN8Vx6fOc8Alvvs7W0RB8ZJZRh4RPnmREC4Tr0Vq5zaamL4R7x41s4GP0Wy1dXkBcmmThximnJw7FNuqvXuXqjjSnuREN6rv8Scv/kSyJVnuHZ/K4wDb3JzYaHyo4AuQ7msM12LU42M83Y9CQnpD5qLo40arOxUmVTF0ihGD0px8SpPJPFENX6Af2P5lg4nbot4uDQWrlORQKkKIWZOVLjDp7wMAdtVta3WGsaxMYBNUZ+cp6XC9MIJCTPRW9WWFpv8XEqSy+Jj7qQWUBAwJHxL/7lj/OFL/7mntteePElvv3z37nHFglZCRFPxgg5Gj1NEE0niQuddt8ilMqQUkx6fQPbAzUSJR4NE1Zlf7bhWOi6ieV4eJJCJBolFgmhyhISAte20A0T03LxAFkNEY3HiGIzGuqY3t39SKQTRLAZ9Yforv99KJEmE/XQukN0VGKxKNGw6icpEB62baJpFrYcJhkPo7gmmm5iuSCHIiTiEf+7kYklJNRwhHgidjv+8BbCdTA0DTuUJB2V7/reMgyGhn2gmfY3fv2/sXTjxp7bXv2Gz/LZb/ymfY70rz0ajxANqSiSwHMdLNNgpDt4O2OQjXqMukN0924HGSkUI52MEFbuWYB1bTTLQ1JUQsJC0w1MB+RQmFgsRkSyMU0HwlF/zAe6H5ojySjhGJmEijMa0Lck4uk0Ccmg29N90zYK8XSSWEi+E1vqjxa2rmEIlUgkfLtPwvPu/BZs4f+O4lHCyu3DEMLFNv17Z3v+uEhKmFQmRsjWaA+sD3QM+m+//Eusr61+wF5HSzDjDAh46hB4rsWwd6egudbrou382Rx02V3d0DF1+qa+T1MupjbC1PbeDOA5Nlrf5v5d/H4MOtY9jiUCe9Sjedvxx0Yb7nU84BoMenevo3q2yaC3+woEjmXQt/ZZbwUwezSG+28+evxr1wbW3te1MwaNfZyfhK3T6+xzT/bAsy1GtsXt5oxdfwb/hcgc0d41bFqvc0/fXLR+b5/+AlgY2v5bbVOnt9/v6E5HEK5Jv/3R1tc8LEGu2oCAgICAgEMQCGdAQEBAQMAhCIQzIOBJJfBeOH4OHOPgBhw/j2aMA+EMCHhC0XWNfr/3qLvxxNLtdLCs/dfitNGI4WCv5AoBR0Wn3cGyrA/e8YgJhDMg4AmlXq9x5dL7gXgeA91uh/cuXqDT6ey7z9bWJteuXgnE85jodNq8e+HtR/L7DrxqAwKeUPq9Hu9dfJdWs0k8kXjU3XmiGA4GbG1tMhrtn/Ov025z8d13qNe2icXjH2Hvng4G/T5bmxvoB3jyHheBcAYEPKF4nke306F7wKwo4PjwPI9Ws0mr2XzUXQk4YgJTbUBAQEBAwCEIhDMgICAgIOAQBMIZEBAQEBBwCALhDAgICAgIOASBcAYEBAQEBByCwKs2IOAJRZJlEokEhUKRaPRhCl5/fDBNk067zWDQx/P2LgcmSRLRWIxSsRSEiRyC0WhEvV7Dtiye9qJagXAGBDyhJBNJzpw7x/MvvEg2l3vU3flI6Pd7XLn0Pu9dfHffMJxoNMozp07zyZc/Rb5QRJKkPfcLuIMQgka9xhtf+ypLN29g2x+n6plHT2CqDQh4QhmfmHiqRBMgnc5w9txzzM7N77tPNpvjky9/ikKxFIjmh0SSJMbK47zy6deCWTqBcAYEPLHE44mnSjRvkUqnSaXS+26PRCPkC8WPsEdPDqVyGVUNPepuPHIC4QwIeFIJJlP7IAUzzQdEkqTgZ0UgnAEBAQEBAYciEM6AgICAgIBDEHjVBgQ8hUiyQjgSRt1tdxMejm1jOR5yOEpUFViGheMJkFVCIQVVkZEA4bk4joPjeniSSjisEpI8bNvBdjyErBAKqai42I5ADoUIyfcY+YSHbVs4hImF73+HF66FbkmEo6G7+4nAcx0s28X1jjosQkIJR4jePTD++SwXVwiQZP/aFAXZHwxc179u15MIhUOEVHmXSVPgOg624yIklXBYAdfGtFwEEpKsEImoyK6N7khEoiEkx0S39g6nQVaJRlQUSWCbNrbrIQBZDREOqSj33FP/3P49CYdU8BxsF9RwCAUXx7KwXJAkhXAkhOxZ+587AAiEMyDgKUQhmizx3KsvcjLp4rgeQoCwNeor13nzepv0mU/xjScsrv7BO1zvu4TLM5xZmKCciRGRBY4xoLq6xo2tFv3YFOfPzbOY1lm5epPLK220VImF07PM0GJ5QyO5eJZzJRXXdbmldbbeZ+3qeyxFzvP5TxRQHQdn1/Pa3LjI716L8tI3n2IqKiNcgcAX1GFjk8vXtqj2DJwj1E5JCTF2/lW+ZSGKazu4SEiuzbC1ycX319keOSipIosnZ5gdy5AIy3i2Rqu6yc3VGrVRgrmzi5xdyBHzPFxPIFyLbqPKzaUaw0iZ8+fLhLZv8EcXa1iSSiw9xcvfsEBm+xq/czPKZ7/tJNGVt/itC23cPfqoFub59EtzjMd1lt66xNVKj6ErkZxa5MXT00wkJFzPF1Nh6bQqG1xbrmOlpzl3ZgKlvsqVbYmFl84wQZvld9/lQtUhHC/y/GvnKTcv8FsXWnueO8AnEM6AgOPi0iUol6H4mHpwCgerW+HdKw1MNULhxCJnzp1h2PgK1V27Kdk5Xnp+nrzbZX1pg44Vojg9xfSzzyBLHlf7/n5SNMNYKU+jNWD9PjGzGXWbLF/doukACIRno+sCJsBzLLavvc/V1h3l9Iw+plcGwGquc2mti2ZBfGyG0zOznNYGaKZJSz+GYHwxYOntm9QciXBhlrMnT3BuvkN/VWb+/LMsZhxaW6ss9RxChXHmp07ynAIs60iAO2yzulllsyfIFMvMTkywaAtWGw/bMYVsMUdSVZDkBMV8jGhrwFDbGQNh0FyvsV7tMlJiFMfHmZ2YZN50WB/e25ZMOJpgfHaSTH0D/WG79hQRCGdAwFEjBPzH/wg///Pwmc/AT/4kqI/hPzXh4Zoate06A0mlLhVYHBsjmZK543QqMzY7QV7VWL94jSu1EboHax0bPrHAeClD1ZNAmIw0CSWZozzWo3WfQAgcS6PTaLK9O3Y+FCWFAOFg9pts1+8xEYZ9QXCMAY16g57uwihCoZAgH40SUhXAOYbBsRk2G2wZHqIlMzadZiweJzFRYDKj0F+7zMWlFl1DwOYAh9OcyhfINzt4gOcYDDptqlWdtiUTziQYj0aIKdbDdUtJM1GIIw/qVK0c6WyORKxHWzN2dnAxRj2atTptV0ZDJZWeIBIOE7vHUu7ZNoZrI2XHOTVR42JQtvVDEzgHBTzeCHHn83HAMOAf/SP42Z8Fz4MvfQn+x/941L06EEVRCEWSTJSzhD2N0cDbNdwxMokQijmkrbnYO7rm9QcMNQspGiMcDiEhGDQ6dIYS6WKecm6vWD8JWZZRFP+DdG/EjHJ7m7JXzIMsI6th8qU06YiEaRjYzjEaFGUZRQmRmSySC4Op60RjYUKyTrdjYlk7g+T06Q8NTClCLBIifKvvsoQUiZNOp8hFwbZM9IfsrpIrUUgqaK0t1rd7WNE0pXiE+F1PchlJkQnFUqRTaRKKg2GZ3DsxlzwTvV9ncxhhfH6agvJwfXuavrVCeAAAIABJREFUeAxfgwOeKoSAdhs2NqBS8f9fq0GrBf0+WLve0BUFEgnI530T6PT0nc/EBDzq2DzXhX/2z+D3f//u7//Tf4Lv+Z5H3797kcPEx0/zHd99yv+7sOksX+dqW5Cc3rXfnu8sMvfKnmd0qRoRytNZxksRDAm4PYEMky0v8JnvOrHTpoPWrfDOV1foIqGEEsx/+luZu92aycrrf8zbLf8c8Znn+I7pWx1xGGyvcnWjR884phcqKc+Ln/82PgEgSdidVd5aG2BM7nM+ibuGI5yb4oVPT/I8gHAYNitc3ajRUceZ3ruFD4FMfixPWh6x3tKpO10mSrNk8zFi7QEmgJRg5twLTJ/1+ylsncbGCmubbcxM4p72BKausdltM3lugsUpE+2B+/Z0EQhnwEeD60K1CktLcPMmrK/7n+VlGAwevv1IBBYW/M/MDJw65X/KZV9wjxsh4Ed/FH7v9+7ftr4OP/VT8CM/8niJp3AwOxUuXG2gew7GaEhfs3GFRPL2Tjq9kYmbT5NPKNSG4LggpxIk4yFcQ8e0pB1ttek1hpDIcLKcI4uF3r3VjsOw22LleoW2A+Dh2gY9138IuY5F6/olrnVuKa2L1nZwdlq2GitcWuvhZmY5MxNn0B7Q1+0jdQy6e2yG3Hz7BlXTwTFN+gMdw3FRUxqWWyKTjxJuj9AMD9QU6USEiGcwMi1EHJxBi5XNKhstA8cyGI40dEchPebiCpmIqhKRwJIk5FDYd7hybOCAZPxyhvFSlFA0yulXX+MZZBRFQpAludXzDdbCoLFeY31bJzY+wVQOBoMRXc0jltmjTcdAb1dY7xU4Nz9B5zis3k8ggXAGHA+OA6ORP4P83/8bfv3X/RnkcWGacOWK/9lNuQzf933wrd8KpRLE40cvXkLAr/wK/Pf/vv8+v/qr8Kf/tC/mjwvCw7V0GrUmQyEQQuyYaHePj0djs06nPMfc2VOIZIOOFSI/Oclk3KK20WUwSFKc2GnS6NJotigVM8xnZKzbwin8mauQdoZfRlFDxONg7Wz3JLEro49CNBlFHfl/d80RrUaL3rZFLHmWE9OTjHc09PoQ81jE02LYaLKte3gCvB3btVXfptIvsDizyHk5yXbXIVQoM1+OYW1X6fR0kjnwHJNBr0OtoeEJP0m6QGCYGj1doTw2zfnTElUzSnF6grTQWW0M8EiBJKHGMoxPKDuvDR72aEA3UqKcUNA2r3OjNkSzJZLj8zwzlqaQiGLKAC7msE9ru45mSMiRWcbHS0x2DfZewhRYusbmep3Zl2cphG1GxzGcTxiBcAYcLbUafPGL/syr2YRO59GuT9Zq8DM/Az/3c76Izs3BD/0QvPji0c1E33/fdwA6CMeBX/gF+Ff/6mjOeVQIgfA8DgqHdLprvP2+x5mFcaZOnmJO9nC0AVvX11iqdOnHkrvac+m3OtQaXUrp3fliVRLZMZ59sXDbeutZOs2Nm1y0QFbDlBfPU9jtG9Rb4Q/edpHxhccTHp7ZZXmlQfHcOAuzeXqayfbA3tua/JAIT+B5grvclawON96/hlicYWZinudn/Otoby5zc61GQ0vgG0TFHscLzH6H9RvLRE/NMLl4ikkhMLU+a1eXuVS3IQFIMrHxRV4t3jlyuHaRq3KRhDxic6NOtaGhe6BaSQqZKTK5BD3LX+gUO/fUaDeoVlNkT5aYmTKR9zHsCNdE71RYqo3zcvkxsog8xkjiaS+sFvBwOA6srcEf/iF89avw9a8/6h59OGZn4U/8Cfi2b4NnngH5IfzkfuzH4Nd+7cPt+1M/Bd/8zQ9+rnv4F//yx/nCF39zz20vvPgS3/7579xzmySrRKJhVGGj6Tb3hrsrkRjxkMDSTCxPgKISDocIKTISAuG52JYffO/JISJhBdlzsCwHF5lQKEQ4rCAceycBQpjwvR4/wsN1bAxPJRHZ4yXGs9AMCMdCyK6Fbjp4wo+1jEZCKJ6NYTl+goZ7+Ooff5k//tIf7nnt8ycW+N7v/4E9t4GEGokSCwnMkYG119NRUvyED+qdBAiO7WA5vhk2FA4RVgS2ZWHdZ0uWkBXFT5Jwz1iajkCSVWLxMPeOhmcbWFKYiCKwDRNrJ6YVOUQ06idPcISMoirgWH6yBiSUkH9v2ImRVUIqkmtjOaBGQsiOhWa5SJKMGokSVcGzTUbm/l5Mv/j//j+0Ws19tz8NBDPOgMMjhG+Gfe89f6a1vPyoe3R41tfhP/wH//P88/CP/zHMz/trpYflrbc+/L7/7t/BN3wDhMOHP88RIjwHQ9t/Qcs1dQbm7i8cTN3B3HNnG1PfHWPiYVsm9u7IC2efY/2NDA4o76iP7t4oXBtdO656kALn3mu/bxcXy3Sx9h4MbNNl/975WYj2G0vh2WjD/Y7W72/XszF2j8Vd0S4C17a4a6h21dF0dt1/ITxsQzug3wG7CYQz4HBsb8O//bdw4YJvBn0SDBYXL8Jf+Au+cP65Pwff+72HEzbnEB4VN2/CF77gr7sGBAR8LAniOAM+GNeFL38Z/uE/hO/6Lvjt3/YF9EkQzVsIASsr8BM/4Tvx/MIvfPgXgxMnPvx5PA/+zb/xnaYCAgI+lgTCGbA/juOnjfvO74S/83fgd37nyRLL/Wg0/AQGf/JPwk//tP9374Ck16++erj2HQd++Zcfro8fhqfgVj0YvgdxwOHxvYMDAuEM2JuLF+Gv/lX4K3/F9459GhEC/st/gT/7Z+GHfxhu3Nh7v09+8vBt/8Zv3B86c8Ro2ohe9+nLozbo9xkO9g99Mk2Tdqv1EfboyaFRr+M6wUpoIJwBdxACrl6Ff/AP4C//Zd/55zDrd08qoxG88w58//f7Y/PlL9/lZMHi4uHjM00TfvzH/RR9x0Rtu8p7F9+l+xSJ56Df58rl91lfX9t3n263yztvv0Wr2Qxmnh8SIQSNeo033/gamh6kgw/CUQJ8NM2fXf37f/90mGMflpkZfz10fh5CIf+F4y/+xcONnST5ieBfeeWBu3FQOIokyySTSUqlEtFo7PHKWnQcCIFpmrRaTfq9Ht4+5nVJkojF4oyVy8SPIyHGk4gQjIZDtrerWJb11L9wBF61TztC+PGXP/Zjfq7YgA/Hxgb8wA/4Kf7+zJ+BP//n/Zy5h3H6EcIPg/n1X4ds9si7KDyPQb/P4DgzNn0MEUKgaSNWVz6GYVQBjwWBqfZppl6Hf/7P4W/9rUcnmpJ05/Nxw/P88JKf+An49m9/MLN2pwP/9b8efd8CAgKOjWDG+TRyay3zr/01GN5X3fbokCTfjBmNQiwG6TR86lO+F+rp036B592C6bq+mK+uwrVrfqzo+rq/DmiafqUUy/IF6nEzFfV6/udB+JVf8R2xYrGj7VNAQMCxEAjn04YQ/gzpV3/14BCLB0GS/Mw73/RN8Kf+lP/nYhGmpnwB/SAUxS8PNjEBr712//ZezxfWft93zrl8GX7zN2Fr6+7yYx83NA3+xt/wY0c/ikouAQEBD0UgnE8TW1vw9/++P9s8CiTJT5z+2mu+2H33d8PY2NG0vReZjP+5xauv+gnbwQ+Z+e3f9tcYq1V/tjoaPX4z0/24fBlef91PxxcQEPBYEwjn08LFi36IycMiSX5prhdf9Ct9PC7mxWIRfvAH7/7O8/yQj9/93Tvm3scVx4F//a99R6Fg1hkQ8FgTCOfTwH/+z34y84flB38QPvtZPyl69ICCu48Lsgz/9J/CP/knforAtTV48034pV96PE276+t+Evi/+TePpDlZlkmn05QnJv2wiwAAHNuh3W6xvV3FPcChSw2FmJmZIZPJIckfQ+e1pxxD16nVtul2OvuGJj0ogXA+yXienzruF3/xwdt44QU/zvCHfujBKoc8DkjSnbXTV1+Fv/23/RCc3/otvwxatfqoe3iHL3wB/tJf8h2pHpJUOs25517g3PnnSO82cT/lWKbJxsY6X3/zDdbXVvfd78SJBV559TXK5XHkwArwsWM4GHDt6mUuvnuB1hFnPwuE80nFdeFHfgS+9KXDH6soMD7uO6sc55rlo+S11/zPreTuP/zDMBg8+kxJzaafTP/nfu6hQ3TK5fFANPcgHIkwOzuHoesHCuenPv0q4xOTSB/HUKkAkqkUp589S7vVCoQz4ENgGPB3/y688cbhj/2e7/FLXp058/GMrTwskuQnMfjd34WlJfjKV3zRepSm3Ndf99P6fe5zD9VMLBYPRHMfQuEw+ULhwH3GyuOBaH7MSaZSJJLJI283EM4nDSHgR3/Uf/h+WCTJN2H+9b8Ozz13fH17nJEkP+fs4qKfBehnfga++MXjjXM9iJ//efj0px+u4HXwzP8AggEKeDCCzEFPGj/5k35s44elUID/+T/9tdCnVTTvJRqFv/f3/DJqL730aGbeV6/6M9//n703j7LjLu+8P1V1933tfVfLaslosY0c57VxJub1jA0ZXg85JuQdnOFAwmSGhOCEQ1iygEkwSQAnAcdh89iYbHBejkgAM8fBBEfOOJZXWZLVUqsXdd9e7+271768f9SV1Gp1a7MWS66Pzz06rqpb9dxfVf++9Ty/3/P8PDw8Xnd4wnk18eKLbjrD2RAKuWNpu3a5uZgepxIMukXvP/MZd4bupWbXLrfgg4eHx+sKL1R7tVCpwO/93tnlKt5yi1uj9gxjPG9oLAuWl91asm1tbnnCv/7rS1tQoVaD++6DBx44u8pLZ42AKPkIxyKEVk4WdRxMQ0OWNQwnQDwZxi+uCmhaBs2mimY6SIEgoaAfv09EwME2DTRNRzPAHwoR8oOh6Zj4iUT9SCuvYxqoioZhS4RjYQKORq1hEozHCJ/SK1koNRVCYYJ+AUuVaWomli0SjIQJiTamIyL5fPhXT361LTRVpamaF3QBZl8oQjTkx7fifcqxLHRNRdVtBH+QcDiA/6T3LQdL15GbKoYg4QsEiQR9SKKA4NiYho6iaOg2gIAvFCIS9OMTBXAcLNPdb1gOjj9EIhLAL524O45tY+oaimZgSwHCoSBBn3B8n3X8/tjrtoUg+ojEogTRqNZULADBfRZ8pkKtaWAhEAiFCAV8Ldtc21XVwLBsxECISMgHhoaiGpjHLiZI+INBopHWs+CAY1sYhoGqahiOiBQMk4z4Tgmi25pMVRGIJkL4ReH4fsex3TZVdUzr0i2y7Qnn1cLDD585rSIYhL/8S7de7Bsdxzn5Mz7uhrifftoVzHrdFc/Lzb/9G/zv/+2WMLxgiASjWa79mR1siJoomisqguOgN5Y4uPcQk2oH171lhA7JQtct7GM9kjLPyy9PMdeUyPX1saErTTLiR8TBUKrMTU8zMW+TGhhkcxfMj82yJLWzfXsHMdNAM21wbPRmlaNj40zWwmy+cTv9+jg/fqbE4I0/y+aEgaya7q0BcKqMPTuJtGkrwx0BmuP7eP7wEstKkK6N17IxWqeo+gnF0+RjPvx+Hz7BwtBNDKXKzOQke8fLXLj50iLx3k38zMYcccnCsGwcBARTpTR7lENTZcS2Qa4d6SEjGSuESqe2OMvoK9MsB1P0DvQz1Bkn7BPAMlDrZSYPj3OkqOEEE3Rv3MCm9hghvwi2jS6XmBybYmqpiZ7p5/rtPeTDDqZpu/fHMWkszXJofI56uIvNIwP0xUA3LEzLRGtWmJuZZaJQoWGsldco4gsmGbnxBjZY4/zoX8aoOYCUZ9tbriW/uI8fv7SI6kvRP9xHfy5GJCDgOBZqdYmp8VmmizL+9n62b8oizE6wf3SO0rE/IzFCvmeI67a1EzHcZ8E2dZrlEpMTR5mpQ7h3C7dtyyJoKtqKPz+9sI9/GYuw/eZNdPltDKP1TDo2amWO0dEZChWFNX/WRcATzqsBXT/zuObP/Rz81m+560e+UdmzB5580vUiFxbcF4163W2/14NIrsd3v+vev3j8wp7XsdArs7x8YAFVkAgme9j2pn62DRcpHHAP0ZemeHG8gnKsR7JVag2DaM8GRoZyhOQik4eXqdth8p1tdHR1oOllVsc9bLXBYuEoowsaoUSG/oEuNmzQaOxdXm0UNBd5+aUC8nEPwkRu2PQCji2R6uqkbb5BQ7WPf6exNMPExDTj8SwDA53kxSrTUwVmqzqqonJx+lOFhfFppksNVClKR18Pvd2ddDVNygJgNFmcLTA2U0V3AFoeoS9Krm+QawciNOdm2DffxAmn6OprZ3iTSrE6g7RhCzcOh6lMTbB/UcYKpunf0M2btooYew4zI7jnq81OMT5fo2H4SXb1MtjRxWBTZkoWwNGpzC8yPlVGjabp7m5ncDiE3z7IS0cbZ2wTQWh5disXLxLD9Ixcw5Z2kersDPuLMk40R19/FyObBEzrqPvbT4OlNFicmWK0aBPL5Onv6WZrRMB86ShVwDY1Sof38WrphIW2Wkez3CplWmmaVyYrKDqE831s7u9huLtKXVEpKZfG5/SE82rgz/7MFYO1iEbhv/wXN+n/gob7rhCmpuCnP3UX6S6VLrc158e+fW7d3QsunDaWrlBcLFFHxFeV6Lqmnb5wCKnVU1p6k/JymbpmnQiDSUn6cgmidoXDY1Mcma9jILBQWiYdETEU8ZT6DY5lotQrLCw08MkW/mw7qWiQ8Fp1BSyVcnGZ6srQmxDBdsCo1TEiKXo6k5SateMduqnIVMoqghUip9ukJYV6ZZnF8sXsSC3Ueo3iUpmGXcGOJMnGogR9PvwAtonabFAsLqOe+CFE0gnacjHs6jwH9x5hRgfEIoVihe6Ihu7LsKUviVQd4/mXJylbDg4LlIjwH7bk6MkdpagIgIOp1FkuliipUBVj5NIdBAN+/DqAja42qRQXWZov01BMfFu6yebTpAoNltd9VxQQfEHiyYQbUpVCBIRWyD7aRl8+jFUc5ZVD8yzLJg7LyFKA7f0Z8oki2hkU2bFNlEaNxbk6C8t16laQn9mQo7dtnhrgOCZaY5nF4qoTtSaY21qD0lKJmmojaFE62uMkgwF8kghcmhdgTzivdBYW4PvfX3ufILgzM9+os2X/1/9y0zoud1GD18pFW0ZNQJB8hMMhbFEi0pYn4zOpVhuYjpv7Jkg+guEQlmQBDpZpohMiHJKw1CayprdCoA5qrcxcDZCSRFdfShSQ/AHC0RiRVIa2mIAhN6mbcEqWnSARDocwbVc4LctEN1yFFLQlJhtZerPttC9ZWJd1eqOAFAgQDofAnySbjOK3NZqajhYABBGf308kHELCHY8zTfD7gkT8YFaaVI3WqWwTrTzPeEXCF+kjFgZ5vkzjWLgakCt1mlaGUCSApLvtIfoChMIhor4gbZkYEcmgLmuoxuo0JhNVU6irNolgkKjE+sIpiEiJHn721q4Tv9MvYQBSLEpYsmnW6himeSIE3VDQzAjhkI+Asc5518AxTNRKA5U80WgYUXY9XckfJhppGWjb6IaOcdzrdZ/JiCSQaE8S91vITRXdvERxWjzhvPJ54YW1k/U3bXKLhvf2XnqbLjezs+7kp+efv9yWXBgSCfBdhD9V0U84P8TP/8dBHEFAEh0aC+O8cLiM4bjSF+7awm2dznHdlmcO8H/GbHAc19tbEZYTBNHdtkZdV18kRd+1N9CzGXAs1FqRsSMFilaczpUHCgIk+rj1/+494W2Wx/npnqVWCoDJ4swCoY09dHQkqYclhEvXX64iRv+2HfRtdRAEEUevURgrUFisEehug0CCnk1b6drY+iVajbnJKUaLrfcgQThpEowgioiCgCC4YilIJ+9HFI572O4ZJTJDb+KWQQcEEdFWWTo6zuRChWZsjeiEICCIAo4N1unewxwbqzbLi/sWUADENFvePOC+4NgODpJbGEIQjltykp3n+I4niK47e+z1VvJH6b3uZrqPn0dj8tl/44VWVD/StZmf73RwBBFJMKgWxjlSqFFXL02YFjzhvPL5p3861Ru54w749KffmKHZQ4fcqkmvp/qzr5WbbrrwYVoA20AtFXj+YBEj3s0Nb8pjVpZY1hyclsOiLR7hpfHq8TFOU6tTU0I0FQsxEycRChIUdDQEovlOulJ+tIp2SsdiKXXmZyY5MCtj6xpNWUYxRYLRVb/LcaAxy56X506McZoyZU0kdeyYxjxT8ymyfVmy/jBibZ1hiouOTOHQNEeLFunBPnoiMtW6SlNrRRX1OvOzs4wVahgOYJvoqoLuT1HXIReNkQ4L1BUQJD/R9l5G0gZTkzXKTejI5En7l1nUXS2KZxLERIOluopp2YBDdfowY3MNxPwAG9pEGrUmTdnAPu7GCy3BDBCJREmGBfRFFfm0EU0Hx1RYnF90Jwf5/AzYDlHAajSom21k0ymCARlRN3AIkkpECUkWJdlEOz6LFvfaa415Ci3PMhggmokTtU1mazKWDyxDY2n0lRVjnBZq1cRqncd9JitYqQG2Dkaplxs0NPMCTv46M55wXskoyqkVgn791926q2/EUmFjY+4KLld6aHY173znRVqNxsE2VJYXijSLMvuzGW7asIVNhWc4ILcOESX8AR9Wy60L+GLYWo2FhTKdmS42jAwTTpao2hHautrJiRXGtSLN1Vey3HGtYrF+5ok6gojf58MvtXpgX4y4riIdD8uaFKfnmG/byIZkAEle70QXGwutVmV5scKCEyC0pYee3hwVeQEDQBAQJYmAv5Ve4UiIOJiazOJclcEtHbzpeodIoYEZyTA42EZCnmLqUIGJ8WU2bO/jxp02h6cb6NE8w4MZfM0pppY01AiAjaHUKJdKlMsS4dAG+ns6KNdV5gEQCUbi5Ds6SEUzdHa3kzaXOTJfpHK+Xnpznqn5DvL9Q9xwbZCpRRknlqe/J4m/Msl8pU4zngUkQtEk+Q6biAM4Fooq4hdA8AWIJjN096aIpfMM9sYwy1NMzOvQgyu4kkggcOyG+5ASYeRWES9Llykvl6ktGEST27hmoJfOioKy2Dgh2hcZTzivZGT5hLcpSe4i1b/4i29M0Vxedn//1Saa7343vPnNF/kiDralMPXqEfrzm9m8bYjCcyYCEMwPckNuRW/k1Dj8zH4Ozh5hHzobB7vo3phjAAO5vMih8Wkml0Tyw+e5OIAgQKyT627sWLHRpLB3Lw2JE3M/lEWOzrWRj4dJn9+VLijq4izTmQSJ/k76OkyWHSAQp70/RlvfsfZzkJfnOPTKfsZmDrGHITYPdbFlm4RgqdQXJ9lzcJwl3YIje3mKa9g+2M211/sRDIVqcZxnDx5loaljr1olzm4uMFlIktzURm93A7shgRAk3dVHqrMX29RolBYYHT/K2Lz6Gn6pzuyBfbxoDLGxp5s3dfhwDIXlhXH2jc2xUNWJxAEhRLZ3gExPf+t7CotHS5RqIIXidAxtpn3AxtKalApHGD08zZLpJw5IviCdIzvoWCmClSM88ayxKqe4yviRedq3dzM8kKWqaMzVjEuSyyk4zqXM6Pa44HzoQ67X+Xu/B//5P19uay4PzabrZR88eLktubBs3OiuUHOaItWfvu9+vvePa6cibb/uem7/T3euuU9oeUMiNqbZyjMURHw+CcGxMC2QfCICq8bZcLAsC9t2QBQRRfHEkKbjYNs2tg2C5G53bBsHEVFsJeHbzmpDkI7b4SD6fEinvPc52JaFI7aOs2wcBwRRQpLc4gGW5WC7G5FEEVGwsSyb1ZdbydzsLH/zzfWX3PvwR34X3zpjy8eu7bTawgG3PUUB7FZepyiuKs3m4Djub7Ecd7+0ctzStt32c1ZcQxRaheadk/cLojuL1LGwbKfVHu5vx3GPEVtjpq0ru0UULNttp/U46X4cyz8V8flFBLvV9giI0onx2NW2H7NDPOkF3nHbyQFREllh1Yrvum3iO75/5dctjGPP5HE7TrSD4NhY9tr3+992P8W/7T6PVaJOg+dxXuncf787njc8fLktuXw89tjVJ5rxuFs/+CKs7ADgOO4M2ZOGuhwbc0UGuXmmbHLb7azWGi5zLGtFSNZi3XWEV9lhmcb6CQX2yfY6tsUpEykdVzAvdlLCWte2LQt75YVPmxvsrG3/Ga6xYifmqp2ObWOuaOj1Fm/2hSKkcjmy4VVTkm0LvV5iYlFe1X72qmfBFf/1TTvZjtVY9nrt4raJse7+NZ7JNdrhUuAJ55VONPrGFs1//Ve3atLVRCTirs6Sy11uSzyuQixNoTw/S3WtEZ3TiJbHCTzh9LhysSw3T/VqGtccGIAvfQm6u1/7uRzXs/TWlFybM1Y2vUpHsdaMNnicE55wely5/O3fwujo+X8/FIJk0vXwQiE3fUeS3Akqtu0Ks6q6s5cbDfdzMUV6+3ZXNC9QeLbRqFNeLpHJep7rajRNZXF+/rTHFGam6e0fQLwcK+N4XBCqlTK1avWCn9cTTo8rE12Hr3/95G2CAF1dcM01MDQEfX3uCjDJpBvSDoddgQwG3QWiz6dDNAz3o6ruSjSq6s5ubjbdurfVKhSLsLQE8/NuMYa5Ofe49QgG4Vd/FX75l10Rv0DMzc3y4gvPc931N5DOZD3Ps4WqKBwZO8xLL56+QMa//utPeQvQ09ePJK1VG9Dj9UylXOaVvS8xNTlxwc/tCafHlYnjwG23uV7i4KBbKWl4mFOKpF5o/H73cy4CZ9uumM7MwNGj7r+lkrs9kYA774QtWy64qYosc/DAAWZnZvAHAm/ILKXVOI47aUZuNqnVTu+JLC4s8OQ/P0E4HHar23hcMTgOmIZBvV5Dli98oq8nnB5XJsGgW1bvSkAU3TU929rg+usv2WUdx0FRZBTlslUIuKKxLYtSqXi5zfB4HeIF7z08PDw8PM4BTzg9PDw8PDzOgcsnnHu+DQ89Dmss7HFBqOyFR78Nsxfp/OeNDj94EP5+z9kf/9S34QdXWYK/h4eHxxXK+mOc1kH4xANQWbFNAqQ4DGyHX7gLNr2GFRte2gUP5+A9dx5foPSC8t3PwZcPwkQXfOqWi3CB80WDJx6DhRC8e+eZD9d3wyc+B9rYGBoqAAAgAElEQVQ22PYIvAFXCfPw8PB4PXEaj7MOL+yBoxpkc+4nlYNAHX7wALznnfDdwqWz9BR0ePSTcP/ja+++/Vfh7nvgXdsvrVkXmsBO+K174AO/euFFc/px+N2PwEsX+LweHh4eVzFnnlW75Zfgs6sKRdf3wvvfC3/xANz+ebgISwWemTr8++NQG1l7d+9t8PHbLq1JF4U43H3vxTl16WV4cg+8/eKc3sPDw+Nq5PzSUeLb4PYReGgUjgA7Vu0f2w1Pj0JFhfYhuPWt0HUO8djpPfD0XlioQbwbdr4VtmZP7D/wJIwVoQjIL8M/HlPuHPz8La6QVw7C0xPw5juhfdX55QL8pHUOKQGbdsLPbTs1ZFw5CE/Pwk23QbwAP3oSJooQycHOt8GOLKdQOghPPg2zNQgkYORmuHXEDXOvxgKmd8OTL0Md6N0Ot99y6ovInsdBGYFbB9feNrsXfrIHyiq0b4bbb+PEqr9rXbcAP9oDExNgafDMrhMh+b63wI4A/GQ3hLfBTWuVftPh6R8DI3Dz4GuzZ2V7xbvhprfCljXadWw3PP0yFHVItI7busZxHscRRZF0OkNPXx+x2GV5u71KcKhWKkyMH0GWZdZbUEqSJNo7Oujs7CYUDl9iGz1eK6ZpUlxaZGpqEtMwTnvs+edxSqv+BbAm4Pc/Aj+agN4RyAKT34A//yv4xF/DO85Qf9MqwBc+Cd/ZC5Fu6IpD8R/gyw/Cb3wF3tfyLp/5JvxdwRUbazd86WV3e3AzXNcSntnH4VP/4HrLt6+4xp4H4Xe/AZUA9HaDVYSHH4Su2+ALn4VNK9Rz9nH41A/hMwE3LLyQgPYAzE7AQ18/2SaAZx6AjzwG4UEYykF5HL72IGx9Pzz0QViZM2+p8N2PwBd2Q9cQWEsw/Q14+E549I/dtgOgDn/zaVj4Nbj1/au23QP1Wbj/x5DKAzWYrcNfjMBnvwS3riMs2ig89CDIdY5PVnqite/2HOy4EZ78HDy1E76/RkSh9EP43fvgv/4t3Hy+9ujwNx+BL+2G+CD0xmFxF3z5i3D3Z1dEC3R4+APw5b3Quw06gKP/AA99Ee7+PHz89TR+/foilU6zdfsORjZvIRb3hPO1UCmXCYXD7Nu7F1VV1jymo7OTHdfdwMDQBsKecF5xmKbJwvwckk/i0BlWWzo/4bQm4KfjkH0bbDi2UYeHPgJPAn/yT3B7SyT1Avz+e+Gzn4TrHjn9ON3YLvjHEnz4EXj3tpYo1+FT/y88/HW3o4wD73sE3leC/3k71D4I37rn7Oxe2OWKZvu74NHfht6WSI7ugt+5D37ni/Dtj50scJTgCw/Ae74E72nZpE/Ah997sk0U4KHHYOCD8PD7T3ive74BP+mC4CpbJh6D794F33nqhB1Pfw4+/G34u3vgN9YJQZ90jm/DV3fCV5+ALfETbfjh++BT98N3P7+2pxe5Db5/G7z0Ofi1x+EzT8Ctq455x53wo13wRAneuUqAn9jlTlb6hVU2nos9T38O/vxZeM9X4Dd2tu61Do/+JvzFp2HbTnh7HCo/hK/uhXd/BT56bDJVHb7zAODVYD0d+XybJ5oXiFQ6zfYd1zM+NraucPYPDDE4tMHzNq9QfD4fHZ2dbN2244zCeeZ0lLHH3bHMY58//STc/V6YHoHP3HtCZOq74TsTcMe9J0QTINANv/ErYO2Fp84wmWjTr8HfPQL/ddsKTzYOG7OgzULpjNaenu8+BvVB+NTHTogVwKa74KN3wewu+NEaFxm5B/7bCpsCg/COna7ndqS1zSq54c7uwZNDvjvfDx+9c41QbTd8YpUdN90Fg8DoWaae6AH4nT88IVIAw3e516vsdkXvfLn+LhjU4fs/XLVjAr6/1w1Vr34JOmt7SvDNH0LXL60QTYAAvOde6K3DE7vdTfW6G9IeHFpxoTjc/Qdw91m8XLyBCYXDnmheQNKZDJJv/Zq1sVjME80rHEnykc5kznjcmYWz9Co8+aT7+dEu+PvHwXqrK3A3rfijPPgs1AOwsRsWSid/pJzrlR09U1JlAHpb3o1Vh9Hd8PAnXY8D4DUtTFGClyag6xZYa/nKm26BuA4vvnrqvpvfcuq2bA6oQbP1/9KIOx745APw5V0wdgbRSm2H1eVJpTykgWb9jL/GPceNJ9+DY7z5rRDRYf8av+VskUbg7dvglcdhbMX20R/CaNz1SM/XHv1l2K/DyAgUVz0rxSB0AwutZ6Vrp/sy8dVPwHd2w8LFSvz18DgbTlOz1itne1UgnMWNPHOo9md+G76wopOc3AX/4z74+CB87Z4T3kKpCOjwhV+EL6xzrrNZAO6Zx+Cbu+CFCbc4Qtc2uG4Qnj6L754OawnKQLZ77Yk6Us4NI55SmzIAqbN5aw/Ab/0lWJ+Gb90HDwOpQXdi0X/7lVNzXtOnmdhytgvl5brW/i3B1m+pvMY6m3fcBQ/dB9/bC7+zzd32/R9B6ha4dY02OVt7ykXQgCc+eWJsdTXDqtsO0gh84fNw/wNw/4fgftxn4uffBu9914qxYA8PD49Lw7mPcQ7cBb/2JPzRN+HpX4JbW6FGCSAOH/8KXLd6QK9FbnDt7cd4+j748C7YeQ/86R/DtUOQDcATH3Fnt74WpKBro6Wtf4zFOqJ6ljOCI4Pwe4/AR0uw51l4bjd8/xvw1B545JGTPV0ptPa1zgVtPe9La/2Wde7D2dL+Vvi5B+Cfd8FvbgP2wD8X4PY/WDUOfI72HHvq3vHH8J51wq2R3In26b0N/uo2qEzAM3vgmR/Ddz4H/16Ab917cQpoXNUISP4gyUyKmL+1yQHHsTA0mUqliepEyLXHCUur3r9NheWyghCOEYv4sOU6lYaKZoqE4zHiQVCbDeqKhSP4CEWipJIhREOlVqnSMADRRzCaIJ/w4xgKy0s1FEdAkMJk2xOEBRu5vETZSdKeDuITT7bBVuoU6zahRJRo0IckgOPYWIaO3JRpqja+cJREIkxwVUzNNnXkep2qLhGNR4kFfUgi2KaBKjeo1vXXFthaE5FAOEIiGSNy7Nl3HGzLRFVkanUNyxchl48RXO3sGE0WllSCmTSJoMixRVocy0SVm1QbGoTipOIhQr5jO8G2DNRmk7qsQzBKIhklvLK/cWwMXaFaaqBJQeKJGJGghCQIOJaB2qxTrhv4UznyUWnVyjoOanWZshUiFQ8TFDSq5SZNzcQJRknFg0imhSP6CIX9SKu+a2gK9UoN2QkQSSRJh8BQGhSrOmIsRUfCzynYGstLOuFcFJ9Wp1hVMWyJcCxKLBIk6HPX0DU0mXpDRdUdgvE4iVgIQWtSqzeRDYFgJEo86j635aZ5pqXM1+X8Jgfddht8cTf8aDfc2pr92D0I0pOgx2H4fFav1+EHP4T4nfD5e0/umOtnGbo8LTk3JebFlie7urOtj7vpLbcOrfHdcySQhZvvdD/vHIG7H4AfHTy7CT/nwsKEO7N49QSgyoT7W7rO5z6sJA7veCs8+WP46b0Q3AXFQfiFdSoena09qS43dF8Hhs/wMrWS1CDcMQh3vAt2fgR+fxfsubc1s9fj7BEJhFMMb9/BUFil1tCxAVH0IZgVjrxykMONHFvePEI7Kg3FxLZbX1UX2X+gRHhwI5v6kjgLY+w9OEOhKpLpGmBTm8PCkSO8qjTBFyHXM8SOLW34qwsc3ref/YsG+EMkejbys1sSmNUFXn76FcZVEV+8kx03biTvMzn67L+wx+nnzde3E9BlZN3GbvVyRnES5ahAz8ggQxk/pqqjWw6CbVArLjI1U8GO5+kfaCMd8hMKB/E7BrKsoTRrLBUKiE6W4YE20gEBcLCx0SoLHDk8w0zNOO8OdW0kYpkOtmwdot2n0VQMbEFABPT6EmOHZlgSOtn2MxtIa02qyoqQkzxDfblM95atbE47qLKGYYPkEzEq8xw8VEDJ9LF1Yxsp0UDVTCxBQhIs5NIcYxNL6IkutmzpJyuqNBUT91YayJVFjjR0mulutlzTQVywcBARfQJWeYaXXikgDl7L/zXoR6s3US1a7WJTGm+imF1s2dJDh7/K6N7DHJqtocbzDG9pJ1Sr0bQkEvkE0WCIcNAHhkpT0WhUlphUG5hikv7NW9med6jMT/DMS3NYuS42D8QRxACxZAifLlNpmjjWMvvrKhuu30hiaT9P7V1CC2UZHOqmKxnCLzo4goClVpk/WmByQSXR1c+1GzsI1aY5+OoER4o28WwnW4aSaNOj7BmvXWLhTL0V3vw5981fvs0VueG3QPs34Hu74O4PnixM8l74ox/C+34bhld6qJwcltSASHzVDNQS/ORlYLWgBVozXGvre4onEYefuxF+8mN44oPw9lUxvu/uAj3r5lyeFyX42i54x/tPzhvN5txWXtcbew3oz8J3DsKvrbL5e7vAysLNZ/gtUhDQQF7rTaLFTXdB1y74wS4I7oZNv3Lq2Oy52iNtd8dCn9oF03eummRUh7/4HGz5n+4ks/pe+FYBPrBqglVbzrXdG/I8f2wTvbrAvn3zKIJIIN7Njh3dbB5YYHK/6ybopRn2HSkjGy3ltHQaski3A44F0UyOtnSVcmP10mUC/miERCpC0LGwfWHSmQSBpVLrljnuf2KMXNbP5ByEchmStsnJGXQ21ekxDiyoaFar29YVGqY7gcOoLTE+sUBRC5Dp7GSgq4dhx+LQ9CwH9i4RTeXpH+giay8zNjrNkibgiyQYGumh3SkzfmSOoioSzXUyPDDENkGj9Pws8oVVzlbbadSWZ9g/vowuBUnme9jU38GGZo3SrHs/5IUJnh+vn+jQLZWa5acLQF1m7NUCy6pDpGuAa/u66C8vMy0CjkZpeobJ+SpNMUS+p4eBfBtdDY15HTAVysszvDqxjNZqf8swMKQQ7T3ddIYVxl4+xJTsI9nTx4ZUgnRoFnfF0ibTBw4yrVit7trBkBXUlHt/LH+SzvY0S1WZhWN2G3UWCmUmCkFSHT0M9SRxijOMTi7TNHQU1U84lySb8GOYGr54mvbwDIfmJniuEsAXamPbjf3Ei1O8OFrFdHQaRpbjr9lShO7hQTZkYXl2hsNFGTuUpnegg4Eh0PVZVMCxBULxFPl8mqXq8gW7leeZxxmH226Ep3bDc7obrg1sg/9xG/z+N+DX63DP21wPb+EgPPIAHBqBD6zonFM5sF51E/Gv64JN3XD9iCtsj74V7t4O9YPwrS9CoRsowHN7IT7i5lISh02D8PQu+Pvtbnh4z0H4hXvWH/d6+72w65fh/g/Awq/CTYNuHueTj8G39sLtfww3nWfcb/bH8OiD8L2X4X3vgpEcNGfh7/8K5LMQsfMhnoe/+003JeetIyAd+y0H4eY/OPNv6R2BoA5/9yB03Am1g1AZgXessFXa5np5X3vADVl/9K4LYE8cPvBBNyXlf3zIba9rc6DMwq6vww+W4FO/7R76zDfha0/CnpdPPFOze+GhXe5Y63WvqQXf4DjYhkq5VKaBiE8OUzW76V6x6LVtKFSrNepaq8t0ACGMA5jNBvVAiEw+Tb5qYq0MyQk+otEo6YhDo7xM3QwTT6VI+0utztXGMnVkVSKdSxFcbJLLxqDRQE3HVngCNqZSo1JRUEzHDSkD+Fsiamo06jWWljVKsoM/OERvOkp0foG5oowhRWk3LSxLpVGpsmzHyOcy5EM6xdEj7J9sYCPgK8uIqQzXtbfTGZzliHoxmttCVxWWS2UUMYguxuntjRHw+xFw1081tSblcpVjDr7b3q1u2tKpVqoUmya+QJ6hzhh+v4ToAFhocoPKcpmq40eIpWnPpPBJktvJOxa6IlMpV1FotaED/kgAbBvLEfH7/UiCTmV6jOfGZeoKtAFgotRqLDdMrGM2gXtdR6NWkQilsrRlqtTU47Fk1GaTsqEjxjRMy8JSZMrlKrIDQjBBJpkk5jRZKlTxdSTJ50OMHmpQUiT8kQQm4OgypXIF0wEC2ePPhRDL0Z0JYS0f5tD4PMWmiUMF1R8mMpQgm6hSkcBSZZqSSCSdoTMjU7pAE7jOvwDCzbdBYDc89Szc2kpCf/tnQXoQvvwP8DvfPnHs8G3w5T+EgRXfv/0etwDAn/53Nzz75B/D3X8I+z8CX/7v8GWAANz6QXj4FvjEB+BP3wsTX4GPt0KF7/kY7PkIfOFD7v9HBmH4l+DmdQRDGoS/eAS+8Dn46idb18AttvDuz8NvvoYSfV3vgoeAz38N/uhDJ7anRuDjf3b+gnzaa94Bn8jDZx6Av2mFs6Us3PGx0wvccdvuhN/+MfzpY/C+x9xtN33sZOEE+H/ugkcfAN8tcPtpZuOciz0D74KHAvAnD57cXtkR+PiXTkQEbv8sKF+Er+46+ZkauA3+5A9PXyHJ4/QIIqI/RCabJiyIhLJ5UqgUl+tYTgIAMRAhlU4RNGzAxlQV6orb+wh6hblqkFQiTVtOo+Zzw54A+NxUmKioslRYpBToZEtbnFzKx4LrxmBZJtW6TlsmSy4s0ZYSWJ5rEEnHVhqJP5IkkwmiWYBjoTVlmmt4hJasoqo6RAIEA37EVb4rgOCT8IWCSJZOsyG3BMrBtjXKdRWyIWJh4GIIpyARCEXIZtPo/hDp9iQhS6FUbWITQhAEpFCMzPE/MRtDblI9ZosUJJlKYoVFEh1JQqgsNnT0oHvuYDRGKmMR8EVpT8cImDIlWUEVIu7+cJRMNo0GOLYr4g1dZWl2nqVEF51brqVDV2k2GhQX5hifrbUu7COSTJELuh6nbRvINbnVug71hUUa2TSZtjSZZd/xcdjTNASBcIhMJozYWGZ2tkwsmaUrlyN+pEH1LCZHiuEIQQnURhPDtFpPnUFDVtDMOKGgREAEwWhQqhoQjpFvz2I1L4xyri+c0k544oX1v5m9C55Z3TkH3DzOO+51q+vUcT3L9jVmYMZ3wreegMkCBFoTQaRB+Oz/Bx8tuGkHuW53chDAXz3hhhQjK73WnfDoT91ryQHo6z4Rcdxyrzv+dcp1R+BTj8An6nC0AL64W0ForVDveucA2Pkx2POxk7dtfRc8+i6oFGChDpH8ifSaEwbAnz+z9jnJwldWt/npjg+51/z2u9zxRSUAbd1rT9xZj3d+Hu4owezSiWpNq8mNuGOSN73tDEJ1jvZsuQsevesM7RWAd3zM/SxMQEWDVPfaz5THuSFIBNNdXLezHUfyEwoKyLNj7J2oYrTKRQXz/Vyf7D0+vqjMjvLc2LE5BxaVxSKa2EVPNk1A8CO2AoG+aJREKorfrqOrOqKoYwejZLIJ/DU3WGubJmqljtyZp7tTJO2rM1EyGNy40kgf6YERbuhxjneOC6P7OLDAKQiiiCgJOI6D5Thrj185Do7l4AgSoiTCMd9OEPFJIjgrxnMvNL4Qqc5+rs/1Ivp8+NAoTh1hdKaBHcsiSD7iXcP8bO6E5Y2JF3lqrKUk4Rwj25PYtoNtG9TnppgsyljtACHyA0OkehxEvx+f1WRu/CiFhTpiexb8ETLdA9zQ1ue2i9FkuTDJcwdLyEtHeaGxTCaTJJNKkMu2M9KZI2L8O5MAxOjf/ia67dZrkV1h9N9HOdqy0VaXmVvwsaEnQ7vjEJHOkDko+IlEEmTjPsyKiiw4+DSLYCJDZ2yKavXMTelYNrYjIvokhOMTwAQk0Z1AZdsOjgBgUS9XaKoBhrMZOkKnL6V3tpy/x3kmus5m0kcABtY4LtW9TsWbdby2s7rW6kvHYfgiJdCvZ//FpP082uAYkSwMn8aTfOZxqHTDO86hvN252HO27dU+eGrdYY/zxzbRygWe27+EEevguq2dSEqNpungtHoGvXiUlyaqqIbbmZtag6Ymkj52DnWZuYUIuQ050pEgdkMDwUcsFiUVDxMNBxnemgVBRBJNxHSazMyiO1ZmW5jNCstaH329INbnWFB9nPzk2JSnDjG6pKG7X0JvyqhmCMD10iQJn99PMBMnGQ3gyEUURV9TOB3DQG82UMQsyVyWaLGE7ogEwgk60iEsucRyc40vXghMlXJphn1TTUK5Tq7pDWOqTRTLfW93LJPm3Dh7Jk8YYCgyjt3q9+QlDhwosCxraKpMUzWxbMH903FUFidnmJxXiHT30pcBRTNQTcd9bzVklpdmOXS0iu4AjomhqhAIk8mlSdBgpnCUhYKPYHqIt9zcSyYdaQlnk6l9h5lV7NZrhk5T1jGPz0UxKc8tspDeQG8qSCRgsHSaZhACYSLJJJmIH8nfz5tzILTUr709wqHamd19u1GjqufpSGeIR2VkU8cRQmRTMUKCQUk2UEOtg7UapYZELt1DTy6KIcuvOaBw8YTT4wpGd6sgpQIw+yT8+Q9h6wdhp5f3cXXhYBsa1eIyzbLCq5kMN/Vfw6a5Kq9UW+FYX5BoNIzPbMlQREQwVHzHI14W1cUl5nJJUukEEQ3wRYlHE8SEGtOHpzi0oEAgTr67l2vSSdrSJeZa37XMBsWyzqa+AMVCiYZz6puRGAwSjYoEWp6g7bfRqxICIIVi5Nrb8WcCZNty5EMqszMVSrV14n2WhlxZYrac5ZruDbxZjLEgi8Sy7XSHFBYOTTN/4fNRXBwLQ5WpLC5iyxahxAgbe/oZLB5i2gEEAdEfIhZb4fJGBCxFddNxbJ16ucpyU18j1dtCbzaolIrMmX6CkX46u9qo1nVqAq5H7XfvZQDAcTD9AQIGZIeGGY7I5KbmWFIFItkkQVNjsa5ABkAkGAoTk44JZ5CgY7HoW5EmpBYpzGfJp3rIhE5XWUcgEAmRykSwKwscPHCURQMC0TSDI4Pk83niR6ZZPdXsFJQlpmdzZAe62HKNn/Sygh1K09EWhcpR5iv11gRCt22a5TJzxTT5bAeJoMxrzHD3hNNjDSo/hDvuAwKg624B/D84y3rAHlcADo5jY+gGmmFh42BbKtOj4/RkN9E33MPEiyaGpuPEO9i0qWPFV2sceW4S3TLQDQvLdkArM79QIpsI026bOKEgobCEWS0xN7tIqeqAqGOLEfLxNLF4FHQDXbfQDYPyUpFKPsL8UgPLyaFrOobl4DgmmmYS6xhk8woTaBR4YX8TxzCwUml6B9P02iZavcLU6DQTc2UaLe1xHBvTMNAtq9Xp26j1Zcb3j2IP9zPQ3sdmyUZrVjn66hQHJupnXX/knFrctjB0A8u0cbBR5RozE7Pk39RBT18bxUkLw7CRMj1sW1nxzSmzb3EM29BRsbDXCEE7lomuGxiWjQPo5UUKszHiAynyuSaoFrrtI53tZHO2s/UtG7VWYuLVgxx5dYzANX10DV1Dt2hjKg0Wxg7yyrROJK6j6SHarxk+KdijFA7SLDoYx6/rUF1YYi4bI+oLYFj28fFjx7bQdQPbsgE/4UCEhM+gsrTA1GIFxQFJNpDSbWSzcXIhOGpb6JqGZq6Mm1sYuo5m2DiOweLhUfYa/WzoyTEw5HNzjBcnGZuYZ7HmkM+Y6AZYNjhGneXiEoVMgkDIxLBe27RpwVlvjRyP1zfTB8HKw8BFKJ1j1WHPHljUIDsIO0fOXGTgYtrjsS6fvu9+vvePP1hz3/brruf2/7RGaUSP8+bRh7/O0uIaA6zAf7zzbWzb7k3zvtKpVip87a8fPO0xnsd5pdJ7EQucS3G3VOC5cDHt8fDw8HgdceYi7x4eHh4eHh7H8YTTw8PDw8PjHPCE08PjasVxq9F4XBjctjxNe3pNfVVwNn8znnB6eFyl1Os1SsXXOvHe4xizhRl0ff3iyKVikXrtLLL3PV63GLpOYWb6jMd5wunhcZUyW5jhuT3/TnFp0fM8XwOO41CYmWb3v/6UZqOx7nGjBw+w9+WXqFUrl9A6jwuFpmmMHT7EM//nzIs/e7NqPTyuUjRN49DBV5memkLy+c5iXXuPtXAA09BpyjKWuX51hGazyYvPP8+r+/cjSpLX3lcYtmOjazqycsbyC55wenhcrTiOg67rpw0velw4HMdBVRVUVbncpnhcZLxQrYeHh4eHxzngCaeHh4eHh8c54Amnh4eHh4fHOeAJp4eHh4eHxzngCaeHh4eHh8c54M2q9fC4SpEkiVw+z4bhjSSTl3pldQ8AWW4yNTnJzPRRzNOksgiCQDQaZfOWa8nm27xUlhU4QHFxgQP796EoyusiJ9kTTg+Pq5RMNsuO625geOM1hCORy23OGxJN08hk3QWVJyfG1z0uGAyybcd1bN22g3gicanMu2Ko1ar4/H5eeG7P6yK9ygvVenhcpeRyeTZs3OiJ5mUkGAzS09tHb1//GY4L8aat2z3RXIdEIsnW7Tvw+/2X2xTAE04Pj6uWQDBIJBK93Ga84QkGg2d8eRElkUQyeYksujJJJlMI4utDsl4fVnh4eHhcxXhjllcXnnB6eHh4eHicA55wenh4eHh4nAPerFoPjzccAr5AmEx7jmRgxWbbQpPrFIs1ZGJ09qaJSsLJYUajyeJilYblI55MkIwG8UsCWAZKs05FEwjH4qQjq7oWx0KTFepNiOdjBI+d1HGwTZ1mrcpSVcOJ5RhsCyIvFphvOOCPkknHiYf9+EUB29Bo1Cosa35SmQSJsG/V27+D1lAwEAnGQpw0lcQ2UOp1lhuQaMsQP7bTttBVmWqlRlWFeHsX7dE1gqtajcJCHU0KkU7GiYX9+AWwDI1GrUalqaFbFyNVQiKSSpOJhwj5RXBsDLVJeblGU4yRz0bxqRWWVYloIk4y6NAoVylXZTT8RJNJspkwotqkUpMxg0lyYYt6pYbsT9ERF2gUF1mS17Y9mG6nJx1E0KoU5uuolo2Dj2RbnkzUj+/YDXBsTE2hWqmjS1ESyTjRwKqTWTqNao1iwyKcTJCOhvBL4JgGilxnudxEtS5CE15gPOH08HjDIeIPJRjYvJnBoEK5qmIBoi9IUGgwtf9VDlQybNw6QrvdpNwwsOxWp6oWaVYUhEg7w4N5Un6wLAdf0I+jLDNdVBGCCTrTEUKRCNGwgCk3qckKtXIDvz/Exu1dRJQGFcWXX/0AABA/SURBVNlCEEQkv4RTn2f//imKmT6uuy7N4rPzLKp+sn39jPQkCeFgIyBJYFQWOFzQiOczZBNhotEYsaCALss0VY1qsYkQjdPenUBsytS1Vk9sKlQkC40gg5s30+OTKddUHFFEFC0aCwUOTRbxp9voyYkIgRi5VBCrXqai2tg1m1INMh1dDHYkCIngOOCTQK0sMTE1y1xZQbcv7N0SwmkGrxmmO2KjGxb4QkQkldmxMY6YbWzY1EmkdIh9pRDdg/1syML8ocPsl2V0ouS7+9m6KQvFGUbHF1Czg2zNq0yNTjAfH2Bbv8D0i0vrCKef3NAmbuiLICoFzNpBZho2JgHa+ofY0h7AUhQUw0YQ/QQkg/LsNPNqiHgmSy4eJBINExZN5GYTudmkJIEVidDfnycbFDBtN4/VMWrMTkwxNtvg8iecnB5POD083qjYFkZ9kQP75lAQ8ce72HF9Hxt75zhcdT0ufXmWV8fKyMfUwNZpKgKdA3na4yLFiUkmlhT86TztKRHUBotzRRYKMdp6e9jQ6aM2M8mrhQa65SOc6sY2NKpzU+w92gRfiGT3EDv6uxlcmKW4ou+WEu1s3thJojHL4ckiZU0gnG2nP5cg5ZtidrJCQQjSNjjMxrzI8vQ0E/M1ZCtMx2CcnFJj8ehRDi+orTNaGLqFGMmDbaBW5jlwYBEzFCPf08vGoQ0Ico3np0Z5aVZEyg5xy/Y2mrPj7JvV0HUdOzXIxoE8gdo8k4USFV0i3tbNhq5OBk0FWdFYki+scoqpDgY7Y5hHX+XViSpGMEtfdwLBJyHaqz1jC9MOEY5EiEV8VIUI0WiIgG1x5lUmVyNAIE13LoQhq0iRNB2pAPOyiXnsJ+o1jo7PMF9VcYIZBjf20NGeoXJklolDRWZiWQYGe+gK1pg5MsXRio0vlqJ7sIuOYJPpiQLzTZtgIkvfQCfXXGNRXR6loF7+IgenwxNOD483LA62oVGr1Kgj4jfiyBYkfD6EVn9smyr1ep26ZgMObtGWIIZpYhIiEAkTixg0G0XGl1zh0C1AFIjkDCwbNKVJudrAFiMEUriCrTQpV2o4Ph0zrmIQwu8TwThhXTjfRjZoMLtvislZ2Q3hLTdoFINYSoO6bGDaBlHVxLIlVFmmWqmj+iRyNjiWiao0qdZkHNyO2HF8xCOA42AZGtVKlSZNqoqPbP4a2jvTMDlDGZDCJhYOllanWlNRTR89w2nikszUZIGjiw0UGxYbAtH4BvpSCeLRZZZklQuJY+lohk0gGCYRN6grdWbGl2g0VIx0ZtXBJopqIgbCxGIxEk6YqF/EVDTWr1u0DgL4s+20hU1KBwuIQ/1k2uMEl1Q0rXWMbSLXG5TLMnZAIqu00xaTcEyDZr0BRJANC1vSkZs1yo0QuWSMTAwahVlGJxZRALGqoIfS5AeydGUkCrPnbO0lxRNOD483KoKIFIrR3tlGUhAJpvMk7CbzxRqm7Zbok8IJ2tohYbrCaTbrLNdVSvMLFMKddOa72ZTrwNAUqstFZmaXKFa1lfp36mUlH6FEms6uEJI/TLojAs0qi1Udjqc7CkRCQUQ0GnUT+5iHY8oUl87OdxL9IeKpLF12DPclQadZVzjFH3RsbK1BTRNoD4UIC6Ct5fAIASJBH5JRp6FZx70uR1FRNRPCAfw+HwJwIf0luzzPWCHKYLaDa0baMHWdZq1MYWaeeWm1x+kgNxUkwUc0kaHdCeMXDJoNC6Rzu66An3xXlqhZ5dDsPKS6uDadIxVcpnksliqFSOeymMEYQjRDPiqi1us0FB2HNdJwBAmf349fMKkqMsf017EslIaCIaYJh31w7jJ/SfGE8/9v70574zjyO45/u6fnvg8OT4mkpJW8cmwnmwTZJ3kYBHkdAQLkZWye5EGeBQiQFxEE2ABBECQ28sSGDWR3tbYlr2hKvDnk3Fd3Tx9VlQdcyYqWope7snn9P8/m4vxnmqhfV01VtRA3lZUgWWhw/4dltJOmmLfxDjZ4vDMhtk4W46cqCzxIN3gx58VvbfLLrZjppM2zjQntQoFyqUS1UWNhbZWsrQi9Fr0z2j3LSVOav8V7VXDSGbK2z+FXWzzv61eCE+JYYUiQTNknPWAD2ElyWQfikCBUnDUXJ5Ep0FxZpTh/knCxO+Rwe4e9139AsyysRJKMYzBezJvnpmiU0hjbwUlYL2uyEg6JhI3RGq3f8g+cgKV9Djc2GBcKlMsFypUaC0vrvJdRBG3nN8JJuS4zJ0mq0mDBhMxCj2GUpFw817tCqsJKM4uJ+lDIoKMIO1tloZSi/WI4OlVkaS1FQyfIZpPo6TFPD7t0x28ITqPRWqGwcJIOCQu0AWyLRMrBNpo4fvvf4dsmwSnETaVjwmGLR18eE+bn+eC9FTJRQGTMyxYv7B/yZGuEH500Zip08VWK2nydsuMzHPTZ7XVpjUPsB0sU0ynSSevMDoOJZvT3N3l0EFNaXOPd22miMELxakNrmA6HeGqRxnyZog9WBE6+wb3VImF7n53jCe4ZXVvlj+nuH7DVOenXGB0x8yLs7Mnjlp0glUqhEmmKjTnqqZjJ/gj3TWFsAoYjl2Auz1yjSD9QTCKLVK1CJe8QuS7eLHqrvU2AdGWO1YaDe9TlaLfPweGQKP0u97JZ0s7rs4qByGUyy1FbrlExffZaLmO7wpv2JbIsi4STJJ36JrCUUti1Jos5RTQtc+/dEmCj7QyN+QKZnnvyxGDA86/3OfLT3Lp7i3k7Qin15pMPEzGbuUyjOpVqnWbRpx8anFyRZi1HIpjQHZ01XnE5SHAKcWMZdBww7g9xhzN+Va3x47V7PDga8qh3EmF2KkuprMmoF5ODUiTaMdW5JquNJG6vT28SkShVKSYiXDdgFp0dHUYrIt9j0JsyDWzK9Yes31vjuL/B4SvPC48P2e5Uubd0l4fJPsMAcvU6jVTIQZtvHQ+1EkmyuQLV6q/XRBhFkEriR4CdIJUvc3vNRqfz1Ofr2JMOm7vD3xzKfeX7GrSOaDXWWbm1yoNclXFoU6xVKFtTDo8GjKZvv9FPlhqs3alhVXMc9n0ip0gzC/7IxYvypww9B0ymkI8NmojJ1CUsvenqOBaWk6HYXOJOHjBgVMSo04GlOjk15vHnT9n3Y7SVZvndP+B+tUElHeBYfPMbZ7dHnMpR/EGD5YUJ42nAsXtKfJoIbzzg8KhOdWWehw9TtMcKp1hhvqToHR6yP7rcE4NAglOIG8igVYw/dRkHIQqD1gGHm1vsVO9SX2qS6580iF6yxMrKKxuPmynbw032nm8TRYss1+us1ixMNGPY2mProM8gBGxNHM6YTmP8l+szNHE0Yzr1CEIFRhF6A55tHlG/X2R5PkvL8xmNkriRgXjI08+fEt1dZqVeZzmhCf0RO1v7PGu7ePHJZ4kDn+k0wSxSJyFiFGHg40YZ8tU57lRf1B4x7nY42PXwvRlhrsDK7QI6Dpn293myvcuzyTeNtolnTMYuXmB4sRpHT1s8/kozW11goVpj0dZE7oCtzQN2OxNOy4rf12Tna75w1lhfqLK82gAV4w1aPHveZmQ3cd08yo+Jogjf89FBxHQS0u91sBkxHPtYKR/XDQijkzWrk2nILFLEgY83S5JtLHPn5CIuqDjgyHMJ0orR0QHb7SETZTBMiPe7NG875JIQzTzG9oww1kDM4KjFbjHFaqlEqTCi506IVUzge0zUryeNAbE3prW1iYlXWJ8vs7hkoWZTWlstnm13eMNy0kvFMpfh4mZCiN/JT/7u7/npv/37qY998Ec/4i/+8q++54rEab745SP+8z9OP04A1VqNv/6bv/0eK7qa/vmf/pHpZHLRZciWe0IIIcR5SHAKIYQQ5yDBKYQQQpyDBKcQ15QxBpnCcPF+2+NgvoM1oNeJ1vrt7izxe5DgFOKamozHdNrtiy7jxhuPR3Q7Zx+HKIzY3d35niq6mna3t1DqcuwoJMEpxDW1v7/HZ59+TPvoSHqeF2Q4GPDo5z/jyZPHZz7P81z+56MP2dnekmP1GmMM28+f8dGH/81s9nb3Af5dyTpOIa6pKAzZ3Nhg+/lzLEvOkS+CMRqlFHF8dk9Ja0230+an//ov2PY5N5W9AbRWRFF0aU4qJDiFuMaUUih1Ba4MLDDGEIaX/UqUAmSoVgghhDgXCU4hhBDiHCQ4hRBCiHOQ4BRCCCHOQYJTCCGEOAeZVSvENZVIJJhfWOSdHz6kUq1iWda3v+gCaaVotQ75xc9/RnBJ1usJcRoJTiGuqbm5Jj/64z9h/c5d0pnMRZfzrYwxNBcWsG2bTz/5+GSLNSEuIRmqFeKaqtXrrN25cyVCE8CyLIrFEu+9/4eXvncsbjYJTiGuqWQqRSaTvegyzq1QLF50CUKcSYJTCHGpSG9TXHYSnEIIIcQ5SHAKIYQQ5yCzaoW4YSwnRb4+z3r99UlDBrTLwTHML+RxXg6ZGnQUMB70OB76hPHJFSpS5QZLjRIFy6N9PKA3CVAkKFRrNKsZ4iAksjI0SqnX3kcRemMOd7tMZOKsuIIkOIW4aSybRDpLuVQg4WSpNQs47pCjUYBWio5f5Z135jDjLgNfo3HI5NMsz2WwnuzSGgVEJkm5ucQP7i3QSIz4WkW4XoCrE+Src6zfKTPrdTmaOpRLedK5PJWSg5qO6U1meMyk8RFXlvzvCnHDmDhk2t7ji2GKdH6RD+o5sv0DvvzVEEVMWKlg0IwPt/jqOCLUSarrD3h/pcli6Zj+NCCyCtQreRwVEThpSuUcxcwA1/vmfXTg0tkf0m3nqC6s8E46T3C8x5fbEyIVMZPepriiJDiFuGmMRs18RkFEhhBlDDqaMZ5MUUCiDKBRgc94PCMwDo4foXUG2z4Zvk2WqlTyNkGvwzRbJFcsUCykaHuvpKGKCWcesxmkyxHaaKLAZzRxkcwUV5kEpxDiFDa5+iJrdkRMikYzQzzt052ERNqhXC9RdCIGvQ79tMXacoFyIU+2O7nowoX4zklwCiFOYZOtNlnJGVKFMsXElJ3HLVqTgDBRolHNkU1q3GKejO3gpHJUSjmKGRdz0aUL8R2T4BRCnEIz2vuaz48V2aX7vH/LxhiwDDilKrW8g2U0xfocOWwcK0GiWKRUHCN9TnHdSXAKIU6hiYMp41FAb7ZLvXqfW7cX6U5ivHqFYjKivbXD1vEYzzjUVta4t1CgUsgTX3TpQnzHJDiFuKmMQSufQbePPw1fDrGaYEKnYzH1NdqA9o55tl0itZwln82ScCImnRH77T7d4YwYCJw2+WSNlDaY2GXQh8AL0QawNOHMpd8zBJ7Eqrj6JDiFuLEUodviF5+0/t+9urPJx51X7zGM9zb4bO/F7TYbr/2loHfI497hy9tbu6++fMawvc3/tt9e5UJcJNlyTwghhDgHCU4hhBDiHCQ4hRCXijGyoEVcbhKcQlxTWmuUUhddxrnFsUwgEpebBKcQ19R4NOS41ULrq7PBXRzHbG48lV6nuNRkVq0Q19TB/j6fffoJf/pnP6Y5v4D17S+5MAZQSrH9/BkfffhfVyrsxc1j/cOfy6mdEEII8dv6P+kZwa0LSJMRAAAAAElFTkSuQmCC)\n", "\n", "Since the graph schema is not provided, the LLM decides on the fly what types of node labels and relationship types it will use. For example, we can observe that there are Company and Organization node labels. Those two things are probably semantically similar or identical, so we would want to have only a single node label representing the two. This problem is more obvious with relationship types. For example, we have CO-FOUNDER and COFOUNDEROF relationships as well as DEVELOPER and DEVELOPEDBY.\n", "For any more serious project, you should define the node labels and relationship types the LLM should extract. Luckily, we have added the option to limit the types in the prompt by passing additional parameters." ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "5wIIu5DJQVKK", "outputId": "d153bca2-a88a-44af-80c8-52410c6bd152" }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Delete the graph\n", "graph.query(\"MATCH (n) DETACH DELETE n\")" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "shS8aPGAvZgT", "outputId": "c087187f-740e-45ea-960e-414420a301f5" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 3/3 [04:03<00:00, 81.18s/it] \n" ] } ], "source": [ "# Specify which node labels should be extracted by the LLM\n", "allowed_nodes = [\"Person\", \"Company\", \"Location\", \"Event\", \"Movie\", \"Service\", \"Award\"]\n", "\n", "for i, d in tqdm(enumerate(documents), total=len(documents)):\n", " extract_and_store_graph(d, allowed_nodes)" ] }, { "cell_type": "markdown", "metadata": { "id": "S6HTx46DQANv" }, "source": [ "In this example, I have only limited the node labels, but you can easily limit the relationship types by passing another parameter to the `extract_and_store_graph` function.\n", "\n", "The graph turned out better than expected (after five iterations :) ). I couldn't catch the whole graph nicely in the visualization, but you can explore it on your own in Neo4j Browser other tools.\n", "## Entity disambiguation\n", "One thing I should mention is that we partly skipped entity disambiguation part. We used a large chunk size and added a specific instruction for coreference resolution and entity disambiguation in the system prompt. However, since each chunk is processed separately, there is no way to ensure consistency of entities between different text chunks. For example, you could end up with two nodes representing the same person.\n", "\n", "![Screenshot from 2023-10-18 11-35-38.png](data:image/png;base64,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)\n", "\n", "In this example, Walt Disney and Walter Elias Disney refer to the same real-world person. The entity disambiguation problem is nothing new and there has been various solution proposed to solve it:\n", "* Using [entity linking](https://wikifier.org/about.html) or [entity disambiguation NLP models](https://github.com/SapienzaNLP/extend)\n", "* Doing a [second pass through an LLM and asking it to perform entity disambiguation](https://medium.com/neo4j/creating-a-knowledge-graph-from-video-transcripts-with-gpt-4-52d7c7b9f32c)\n", "* [Graph-based approaches](https://neo4j.com/developer-blog/exploring-supervised-entity-resolution-in-neo4j/)\n", "\n", "Which solution you should use depends on your domain and use case. However, have in mind that entity disambiguation step should not be overlooked as it can have a significant impact on the accuracy and effectiveness of your RAG applications.\n", "## Rag Application\n", "The last thing we will do is show you how you can browse information in a knowledge graph by constructing Cypher statements. Cypher is a structured query language used to work with graph databases, similar to how SQL is used for relational databases. LangChain has a [GraphCypherQAChain](https://medium.com/neo4j/langchain-cypher-search-tips-tricks-f7c9e9abca4d) that reads the schema of the graph and constructs appropriate Cypher statements based on the user input." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "id": "8EeZG9I8JYGJ" }, "outputs": [], "source": [ "# Query the knowledge graph in a RAG application\n", "from langchain.chains import GraphCypherQAChain\n", "\n", "graph.refresh_schema()\n", "\n", "cypher_chain = GraphCypherQAChain.from_llm(\n", " graph=graph,\n", " cypher_llm=ChatOpenAI(temperature=0, model=\"gpt-4\"),\n", " qa_llm=ChatOpenAI(temperature=0, model=\"gpt-3.5-turbo\"),\n", " validate_cypher=True, # Validate relationship directions\n", " verbose=True\n", ")" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 192 }, "id": "0-qaxjC2NOJm", "outputId": "11a0471d-8a4b-44f6-9e03-63cba2b90b23" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\u001b[1m> Entering new GraphCypherQAChain chain...\u001b[0m\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/tomazbratanic/anaconda3/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:189: LangChainDeprecationWarning: The function `run` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead.\n", " warn_deprecated(\n", "/Users/tomazbratanic/anaconda3/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:189: LangChainDeprecationWarning: The function `__call__` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead.\n", " warn_deprecated(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Generated Cypher:\n", "\u001b[32;1m\u001b[1;3mMATCH (p:Person {name: \"Walter Elias Disney\"}) RETURN p.birthdate\u001b[0m\n", "Full Context:\n", "\u001b[32;1m\u001b[1;3m[{'p.birthdate': 'December 5, 1901'}]\u001b[0m\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/tomazbratanic/anaconda3/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:189: LangChainDeprecationWarning: The function `__call__` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead.\n", " warn_deprecated(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\u001b[1m> Finished chain.\u001b[0m\n" ] }, { "data": { "text/plain": [ "{'query': 'When was Walter Elias Disney born?',\n", " 'result': 'Walter Elias Disney was born on December 5, 1901.'}" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cypher_chain.invoke({\"query\": \"When was Walter Elias Disney born?\"})" ] }, { "cell_type": "markdown", "metadata": { "id": "PCyRYN8aQzhU" }, "source": [ "## Summary\n", "Knowledge graphs are a great fit when you need a combination of structured and structured data to power your RAG applications. In this blog post, you have learned how to construct a knowledge graph in Neo4j on an arbitrary text using OpenAI functions. OpenAI functions provide the convenience of neatly structured outputs, making them an ideal fit for extracting structured information. Just make sure you add an entity disambiguation step after the extraction, and you are golden." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "mnBM5jSDNTP7" }, "outputs": [], "source": [] } ], "metadata": { "colab": { "authorship_tag": "ABX9TyOtPgbncRs178mcTTl511e3", "include_colab_link": true, "provenance": [] }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 4 }