LangGraph_03_MultiAgent_With_Supervisor.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "LangGraph Series: https://www.youtube.com/watch?v=ny215UUXbhI&t=501s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 3,
     "metadata": {
      "image/png": {
       "width": 800
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='MultiAgent.png',width=800)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initializing the keys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from dotenv import load_dotenv\n",
    "\n",
    "load_dotenv()\n",
    "\n",
    "\n",
    "from langchain_openai import ChatOpenAI\n",
    "\n",
    "# Now you can access your environment variables using os.environ\n",
    "os.environ['OPENAI_API_KEY'] = os.environ.get(\"OPENAI_API_KEY\")\n",
    "os.environ['TAVILY_API_KEY'] = os.environ.get(\"TAVILY_API_KEY\")\n",
    "\n",
    "\n",
    "llm = ChatOpenAI(model=\"gpt-4-1106-preview\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Agent function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.agents import AgentExecutor, create_openai_tools_agent\n",
    "from langchain_core.messages import BaseMessage, HumanMessage\n",
    "from langchain_openai import ChatOpenAI\n",
    "\n",
    "\n",
    "def create_agent(llm: ChatOpenAI, tools: list, system_prompt: str):\n",
    "    # Each worker node will be given a name and some tools.\n",
    "    prompt = ChatPromptTemplate.from_messages(\n",
    "        [\n",
    "            (\n",
    "                \"system\",\n",
    "                system_prompt,\n",
    "            ),\n",
    "            MessagesPlaceholder(variable_name=\"messages\"),\n",
    "            MessagesPlaceholder(variable_name=\"agent_scratchpad\"),\n",
    "        ]\n",
    "    )\n",
    "    agent = create_openai_tools_agent(llm, tools, prompt)\n",
    "    executor = AgentExecutor(agent=agent, tools=tools)\n",
    "    return executor\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creation of Tools \n",
    "\n",
    "- Tavily Search tool\n",
    "- PythonREPLTool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import Annotated, List, Tuple, Union\n",
    "\n",
    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
    "from langchain_core.tools import tool\n",
    "from langchain_experimental.tools import PythonREPLTool\n",
    "\n",
    "tavily_tool = TavilySearchResults(max_results=5)\n",
    "\n",
    "python_repl_tool = PythonREPLTool()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RAG Setup with vector DB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/aritra.sen/Aritra/coding/my_llm_app/.venv/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n",
      "/Users/aritra.sen/Aritra/coding/my_llm_app/.venv/lib/python3.10/site-packages/transformers/utils/generic.py:311: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
      "  torch.utils._pytree._register_pytree_node(\n",
      "/Users/aritra.sen/Aritra/coding/my_llm_app/.venv/lib/python3.10/site-packages/transformers/utils/generic.py:311: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
      "  torch.utils._pytree._register_pytree_node(\n"
     ]
    }
   ],
   "source": [
    "from langchain_community.document_loaders import TextLoader, DirectoryLoader\n",
    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
    "from langchain_community.vectorstores import Chroma\n",
    "\n",
    "### Reading the txt files from source directory\n",
    "\n",
    "loader = DirectoryLoader('./source', glob=\"./*.txt\", loader_cls=TextLoader)\n",
    "docs = loader.load()\n",
    "\n",
    "### Creating Chunks using RecursiveCharacterTextSplitter\n",
    "\n",
    "text_splitter = RecursiveCharacterTextSplitter(\n",
    "    chunk_size=100,\n",
    "    chunk_overlap=10,\n",
    "    length_function=len\n",
    ")\n",
    "new_docs = text_splitter.split_documents(documents=docs)\n",
    "doc_strings = [doc.page_content for doc in new_docs]\n",
    "\n",
    "###  BGE Embddings\n",
    "\n",
    "from langchain.embeddings import HuggingFaceBgeEmbeddings\n",
    "\n",
    "model_name = \"BAAI/bge-base-en-v1.5\"\n",
    "model_kwargs = {'device': 'cpu'}\n",
    "encode_kwargs = {'normalize_embeddings': True} # set True to compute cosine similarity\n",
    "embeddings = HuggingFaceBgeEmbeddings(\n",
    "    model_name=model_name,\n",
    "    model_kwargs=model_kwargs,\n",
    "    encode_kwargs=encode_kwargs,\n",
    ")\n",
    "\n",
    "### Creating Retriever using Vector DB\n",
    "\n",
    "db = Chroma.from_documents(new_docs, embeddings)\n",
    "retriever = db.as_retriever(search_kwargs={\"k\": 4})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_core.output_parsers import StrOutputParser\n",
    "from langchain_core.runnables import RunnablePassthrough"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RAG Tool : Python function -> tool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "@tool\n",
    "def RAG(state):\n",
    "\n",
    "    \"\"\"Use this to execute RAG. If the question is related to Japan or Sports, using this tool retrieve the results.\"\"\"\n",
    "\n",
    "    print('-> Calling RAG ->')\n",
    "    question = state\n",
    "    print('Question:',question)\n",
    "\n",
    "    template = \"\"\"Answer the question based only on the following context:\n",
    "    {context}\n",
    "\n",
    "    Question: {question}\n",
    "    \"\"\"\n",
    "    prompt = ChatPromptTemplate.from_template(template)\n",
    "\n",
    "    retrieval_chain = (\n",
    "        {\"context\": retriever, \"question\": RunnablePassthrough()}\n",
    "        | prompt\n",
    "        | llm\n",
    "        | StrOutputParser()\n",
    "        )\n",
    "    result = retrieval_chain.invoke(question)\n",
    "    return result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Agent node \n",
    " - takes state , agent and name as input \n",
    " - return mesage as HumanMessage with name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def agent_node(state, agent, name):\n",
    "    result = agent.invoke(state)\n",
    "    return {\"messages\": [HumanMessage(content=result[\"output\"], name=name)]}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Supervisor Chain creation \n",
    "\n",
    "Our team supervisor is an LLM node. It just picks the next agent to process and decides when the work is completed\n",
    "\n",
    "- Has access and information about it's memebers. \n",
    "- members = [\"RAG\" , \"Researcher\", \"Coder\"]\n",
    "- options = [\"FINISH\"] + members\n",
    "- \"Given the conversation above, who should act next?\"\n",
    "   \" Or should we FINISH? Select one of: {options}\"\n",
    "\n",
    "- Router -> function_def"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.output_parsers.openai_functions import JsonOutputFunctionsParser\n",
    "from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
    "\n",
    "members = [\"RAG\" , \"Researcher\", \"Coder\"]\n",
    "system_prompt = (\n",
    "    \"You are a supervisor tasked with managing a conversation between the\"\n",
    "    \" following workers:  {members}. Given the following user request,\"\n",
    "    \" respond with the worker to act next. Use RAG tool when questions \"\n",
    "     \"are related to Japan or of Sports category. Each worker will perform a\"\n",
    "    \" task and respond with their results and status. When finished,\"\n",
    "    \" respond with FINISH.\"\n",
    ")\n",
    "\n",
    "options = [\"FINISH\"] + members\n",
    "# Using openai function calling can make output parsing easier for us\n",
    "function_def = {\n",
    "    \"name\": \"route\",\n",
    "    \"description\": \"Select the next role.\",\n",
    "    \"parameters\": {\n",
    "        \"title\": \"routeSchema\",\n",
    "        \"type\": \"object\",\n",
    "        \"properties\": {\n",
    "            \"next\": {\n",
    "                \"title\": \"Next\",\n",
    "                \"anyOf\": [\n",
    "                    {\"enum\": options},\n",
    "                ],\n",
    "            }\n",
    "        },\n",
    "        \"required\": [\"next\"],\n",
    "    },\n",
    "}\n",
    "prompt = ChatPromptTemplate.from_messages(\n",
    "    [\n",
    "        (\"system\", system_prompt),\n",
    "        MessagesPlaceholder(variable_name=\"messages\"),\n",
    "        (\n",
    "            \"system\",\n",
    "            \"Given the conversation above, who should act next?\"\n",
    "            \" Or should we FINISH? Select one of: {options}\",\n",
    "        ),\n",
    "    ]\n",
    ").partial(options=str(options), members=\", \".join(members))\n",
    "\n",
    "supervisor_chain = (\n",
    "    prompt\n",
    "    | llm.bind_functions(functions=[function_def], function_call=\"route\")\n",
    "    | JsonOutputFunctionsParser()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creation of workflow with below nodes \n",
    "\n",
    "Agent ->> Node (functools.partial)\n",
    "\n",
    " - Research Node\n",
    " - Code Node\n",
    " - RAG Node"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import operator\n",
    "from typing import Annotated, Any, Dict, List, Optional, Sequence, TypedDict\n",
    "import functools\n",
    "\n",
    "from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
    "from langgraph.graph import StateGraph, END\n",
    "\n",
    "\n",
    "# The agent state is the input to each node in the graph\n",
    "class AgentState(TypedDict):\n",
    "    # The annotation tells the graph that new messages will always\n",
    "    # be added to the current states\n",
    "    messages: Annotated[Sequence[BaseMessage], operator.add]\n",
    "    # The 'next' field indicates where to route to next\n",
    "    next: str\n",
    "\n",
    "\n",
    "research_agent = create_agent(llm, [tavily_tool], \"You are a web researcher.\")\n",
    "research_node = functools.partial(agent_node, agent=research_agent, name=\"Researcher\")\n",
    "\n",
    "# NOTE: THIS PERFORMS ARBITRARY CODE EXECUTION. PROCEED WITH CAUTION\n",
    "code_agent = create_agent(\n",
    "    llm,\n",
    "    [python_repl_tool],\n",
    "    \"You may generate safe python code to analyze data and generate charts using matplotlib.\",\n",
    ")\n",
    "code_node = functools.partial(agent_node, agent=code_agent, name=\"Coder\")\n",
    "\n",
    "\n",
    "RAG_agent = create_agent(\n",
    "    llm,\n",
    "    [RAG],\n",
    "    \"Use this tools when questions are related to Japan or of Sports category.\",\n",
    ")\n",
    "rag_node = functools.partial(agent_node, agent=RAG_agent, name=\"RAG\")\n",
    "\n",
    "workflow = StateGraph(AgentState)\n",
    "workflow.add_node(\"Researcher\", research_node)\n",
    "workflow.add_node(\"Coder\", code_node)\n",
    "workflow.add_node(\"RAG\", rag_node)\n",
    "workflow.add_node(\"supervisor\", supervisor_chain)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['RAG', 'Researcher', 'Coder']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "members"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creation of edges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "for member in members:\n",
    "    # We want our workers to ALWAYS \"report back\" to the supervisor when done\n",
    "    workflow.add_edge(member, \"supervisor\")\n",
    "# The supervisor populates the \"next\" field in the graph state\n",
    "# which routes to a node or finishes\n",
    "conditional_map = {k: k for k in members}\n",
    "conditional_map[\"FINISH\"] = END\n",
    "workflow.add_conditional_edges(\"supervisor\", lambda x: x[\"next\"], conditional_map)\n",
    "# Finally, add entrypoint\n",
    "workflow.set_entry_point(\"supervisor\")\n",
    "\n",
    "graph = workflow.compile()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
      "To disable this warning, you can either:\n",
      "\t- Avoid using `tokenizers` before the fork if possible\n",
      "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'supervisor': {'next': 'Coder'}}\n",
      "----\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Python REPL can execute arbitrary code. Use with caution.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Coder': {'messages': [HumanMessage(content='The code has been executed, and the message \"Hello, World!\" has been printed to the terminal.', name='Coder')]}}\n",
      "----\n",
      "{'supervisor': {'next': 'FINISH'}}\n",
      "----\n"
     ]
    }
   ],
   "source": [
    "for s in graph.stream(\n",
    "    {\n",
    "        \"messages\": [\n",
    "            HumanMessage(content=\"Code hello world and print it to the terminal\")\n",
    "        ]\n",
    "    }\n",
    "):\n",
    "    if \"__end__\" not in s:\n",
    "        print(s)\n",
    "        print(\"----\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'supervisor': {'next': 'RAG'}}\n",
      "----\n",
      "-> Calling RAG ->\n",
      "Question: James McIlroy\n",
      "{'RAG': {'messages': [HumanMessage(content='James McIlroy is an 800 meters runner from Northern Ireland who is aiming to win his first major title at an upcoming weekend event. He believes that his career has been transformed, and he is also setting his sights on a title in Madrid. McIlroy, who is 28 years old, has had times in his career where his performance might not have reached the heights he expected, but he remains focused on achieving success in his sport.', name='RAG')]}}\n",
      "----\n",
      "{'supervisor': {'next': 'FINISH'}}\n",
      "----\n"
     ]
    }
   ],
   "source": [
    "for s in graph.stream(\n",
    "    {\n",
    "        \"messages\": [\n",
    "            HumanMessage(content=\"What James McIlroy is aiming in sports?\")\n",
    "        ]\n",
    "    }\n",
    "):\n",
    "    if \"__end__\" not in s:\n",
    "        print(s)\n",
    "        print(\"----\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'supervisor': {'next': 'Researcher'}}\n",
      "----\n",
      "{'Researcher': {'messages': [HumanMessage(content=\"Based on the search results, we have some information regarding India's GDP for the years 2019 and 2020:\\n\\n- India's GDP for 2019 was $2,835.61 billion.\\n- India's GDP for 2020 was $2,671.60 billion, which was a 5.78% decline from 2019.\\n\\nHowever, the search results did not provide specific GDP figures for the years 2018, 2021, and 2022. To draw a line graph of India's GDP over the past 5 years, we need the GDP figures for all five years. Since the search results are incomplete, I cannot create a line graph with the data provided.\\n\\nTo proceed, we would need to either refine the search to obtain the missing GDP data for 2018, 2021, and 2022 or directly obtain this data from a reliable statistical database or economic report. Once we have the complete data set, we can then create the line graph. Would you like to refine the search or use another source to obtain the missing GDP figures?\", name='Researcher')]}}\n",
      "----\n",
      "{'supervisor': {'next': 'Researcher'}}\n",
      "----\n",
      "{'Researcher': {'messages': [HumanMessage(content=\"Based on the search results, we have gathered the following GDP figures for India:\\n\\n- 2018: The exact figure is not clearly stated in the search results, but the GDP for 2019 was $2,835.61 billion, with a 4.91% increase from 2018. This allows us to estimate the 2018 GDP.\\n- 2019: $2,835.61 billion\\n- 2020: $2,671.60 billion\\n- 2021: $3,150.31 billion\\n- 2022: $3,416.65 billion\\n\\nNow, let's calculate the estimated GDP for 2018 using the 2019 figure and the growth rate provided:\\n\\n2019 GDP / (1 + Growth Rate) = 2018 GDP\\n$2,835.61 billion / (1 + 0.0491) ≈ $2,835.61 billion / 1.0491 ≈ $2702.20 billion\\n\\nTherefore, the estimated GDP for 2018 is approximately $2702.20 billion.\\n\\nNow we have all the figures to plot the line graph representing India's GDP over the past 5 years:\\n\\n- 2018: $2702.20 billion\\n- 2019: $2,835.61 billion\\n- 2020: $2,671.60 billion\\n- 2021: $3,150.31 billion\\n- 2022: $3,416.65 billion\\n\\nHowever, as a text-based AI, I am unable to create visual graphics. You would need to use these figures in a data visualization tool like a spreadsheet program to create the line graph.\", name='Researcher')]}}\n",
      "----\n",
      "{'supervisor': {'next': 'Coder'}}\n",
      "----\n"
     ]
    },
    {
     "data": {
      "image/png": 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cSrbSkxL3Bx98QPXq1dNtkxLzK6+8wrRp0+zFNfz8/LDZbLRv3z7d37n0+sBTTz1F7dq1WbJkCWvWrOGDDz5g1KhRLF682OHiMiKSsynZEhHJBCVLlmTdunVcvHgx1RvQgwcP3va5X3/9NfHx8Xz11VepRj0cnS6WL18+2rVrR7t27bh27RqtW7dm+PDhDBgw4KYJU7NmzZg7dy5z5syhX79+Dr3O7SxcuJArV64QHh6eKedr1qwZI0eOZObMmekmW0lJSURFRVGwYMFUI3l16tShWLFizJs3j0cffZT169fbi1WkKFOmDD/88AMNGjRIUxnyv/qv5ytTpgwAgYGBN02W/quM9rmHHnqIhx56iOHDhxMVFUXHjh2ZO3cuXbt2zbTvX8q03JuNNjoi5Xvn6+t72+/dwoUL6dKlC6NHj7bvu3r1aroVRG+lWLFivPzyy7z88sucPHmSmjVrMnz4cCVbIgKo9LuISKZo0qQJiYmJqUpnJyUl8fHHH9/2uSkjHTdOY5o2bdptn3vjVEAvLy8qVaqEYRi3vMfmqaeeolKlSgwbNowdO3ak2+b6eG7nhx9+oFevXhQsWPCW1RMz4uGHH6Zhw4ZMmzaNZcuWpTn+1ltv8csvv9CvX79Uow5ubm60bduWr7/+mlmzZpGYmJhqCiGY13/06FE+/fTTNOe9cuWKvdrcnciXL1+G37BfLzw8HF9fX0aMGJHuzzC9MvEZ5WifO3v2bJp+kDJilFIiP6Vqn6PXnF78R48e5fPPP6dq1ar/aZ2sWrVqUaZMGT788EMuXrx4y9d2d3dPc20ff/xxumvLpScpKSnNdMPAwECKFy+eZvkAEcm9NLIlIpIJmjdvziOPPMIbb7zB4cOHqVSpEosXL75lcYsUYWFheHl50bx5c1566SUuXrzIp59+SmBgIMePH7/tc4OCgnjkkUcoWrQoBw4c4JNPPqFp06a3LCzh6enJkiVLCA8P59FHH6V169b2NZ2OHj3KV199xZEjR2jatGma527evJmrV6+SlJTE6dOn2bp1K1999RV+fn4sWbIk3alvd2rmzJk0aNCAFi1a0KFDB2rXrk18fDyLFy9m48aNtGvXjr59+6Z5Xrt27fj4448ZPHgwVapUoWLFiqmOd+rUifnz59O9e3c2bNjAI488QlJSEj///DPz589n9erVGZ72mKJWrVpERkby7rvvUrZsWQIDA296/1V6fH19iYyMpFOnTtSsWZP27dsTEBDAkSNHWL58OY888ohDa5ndiqN9bsaMGUycOJFWrVpRpkwZLly4wKeffoqvry9NmjQBzOl1lSpVYt68eZQrV45ChQpx7733pjudFKBfv372aYzFixfn8OHDTJ48mUuXLjF+/Pj/dF1ubm589tlnNG7cmMqVK/Pcc89x1113cfToUTZs2ICvr699SYFmzZoxa9Ys/Pz8qFSpEtu3b2ft2rW3XI7gehcuXCA4OJi2bdtSrVo18ufPz9q1a9m5c2eq0TIRyeWsK4QoIuJablb6PV++fGnaple+/fTp00anTp0MX19fw8/Pz+jUqZOxe/duh0q/f/XVV0bVqlUNHx8fo1SpUsaoUaOMzz//3ACMQ4cO3TTmyZMnG3Xq1DEKFy5seHt7G2XKlDH69u2bqmT7rZw7d8545513jBo1ahj58+c3vLy8jJCQEKNt27ZpyqenlBRP+fL09DQCAgKMOnXqGMOHDzdOnjyZ5vzpfU8z6sKFC8aQIUOMypUrG3ny5DEKFChgPPLII8b06dNTlfe+XnJyshESEmIAxrvvvptum2vXrhmjRo0yKleubHh7exsFCxY0atWqZQwdOjTV9w/IUHnv2NhYo2nTpkaBAgUMwF4G/mbfi5Tv64YNG9LsDw8PN/z8/AwfHx+jTJkyxrPPPmt89913t3x9R0r0G4Zjfe777783nn76aaNEiRKGt7e3ERgYaDRr1ixNDNu2bTNq1apleHl53bYMfFRUlFGnTh0jICDA8PDwMIoUKWK0atXK2LVr1y3jTU/JkiWNpk2bptm/e/duo3Xr1vbfi5IlSxpPPfWUsW7dOnubs2fPGs8995xRpEgRI3/+/EZ4eLjx888/GyVLljS6dOlib3ezn1t8fLzRt29fo1q1akaBAgWMfPnyGdWqVTMmTpyY4esQkZzLZhgZmCciIiIiIiIiDtE9WyIiIiIiIk6gZEtERERERMQJlGyJiIiIiIg4gZItERERERERJ1CyJSIiIiIi4gRKtkRERERERJxAixo7IDk5mWPHjlGgQAFsNpvV4YiIiIiIiEUMw+DChQsUL14cN7dbj10p2XLAsWPHCAkJsToMERERERFxEX/99RfBwcG3bKNkywEFChQAzG+or6+vxdFAQkICa9asISwsDE9PT6vDEckQ9V/JztR/JTtT/5XszJX6b1xcHCEhIfYc4VaUbDkgZeqgr6+vyyRbefPmxdfX1/LOJpJR6r+Snan/Snam/ivZmSv2X0duL1KBDBERERERESdQsiUiIiIiIuIESrZEREREREScQMmWiIiIiIiIEyjZEhERERERcQIlWyIiIiIiIk6gZEtERERERMQJlGyJiIiIiIg4gZItERERERERJ1CyJSIiIiIiLispCWJibGzadBcxMTaSkqyOyHFKtkRERERExCUtXgylSkGjRh6MGXMfjRp5UKqUuT87ULIlIiIiIiIuZ/FiaNsW/v479f6jR8392SHhUrIlIiIiIiIuJSkJXnsNDCPtsZR9vXrh8lMKlWyJiIiIiIhL2bw57YjW9QwD/vrLbOfKlGyJiIiIiIhLOX48c9tZRcmWiIiIiIi4lKJFHWtXrJhz4/ivPKwOQEREREREJMXRozB8+K3b2GwQHAy1a2dNTHdKI1siIiIiIuISliyBqlVh/Xrw8jL32Wyp26RsjxsH7u5ZGl6GWZpsRUZGUrVqVXx9ffH19SU0NJSVK1emaWcYBo0bN8Zms7F06dJUx44cOULTpk3JmzcvgYGB9O3bl8TExFRtNm7cSM2aNfH29qZs2bJMnz7diVclIiIiIiIZcfEivPgitG4NZ85AzZrwww+waBHcdVfqtsHBsHCh2dbVWTqNMDg4mPfee4977rkHwzCYMWMGLVq0YPfu3VSuXNnebty4cdhuTGmBpKQkmjZtSlBQENu2beP48eN07twZT09PRowYAcChQ4do2rQp3bt3Z86cOaxbt46uXbtSrFgxwsPDs+xaRUREREQkrZ07oWNH+PVXc9Sqf38YOtQc2apQAVq0gA0bElm5cg+NG1enfn0Plx/RSmFpstW8efNU28OHDycyMpIdO3bYk609e/YwevRovvvuO4rdcAfcmjVr+Omnn1i7di1FixalevXqDBs2jP79+zNkyBC8vLyYNGkSpUuXZvTo0QBUrFiRLVu2MHbsWCVbIiIiIiIWSUqCUaNg8GBITDRHrGbNgnr1Urdzd4e6dQ0uXTpK3brVsk2iBS5UICMpKYkFCxZw6dIlQkNDAbh8+TIdOnRgwoQJBAUFpXnO9u3bqVKlCkWvK1cSHh5Ojx492L9/PzVq1GD79u00bNgw1fPCw8Pp1avXTWOJj48nPj7evh0XFwdAQkICCQkJ/+UyM0VKDK4Qi0hGqf9Kdqb+K9mZ+q+4kj//hOeec2fLFvOupjZtkpk4MYmCBSG9LupK/TcjMViebO3du5fQ0FCuXr1K/vz5WbJkCZUqVQKgd+/ePPzww7Ro0SLd58bGxqZKtAD7dmxs7C3bxMXFceXKFfLkyZPmvCNHjmTo0KFp9q9Zs4a8efNm/CKdJDo62uoQRO6Y+q9kZ+q/kp2p/4rVNm++i8jIaly+7IaPTyLduv1I/fp/sX377Z/rCv338uXLDre1PNkqX748e/bs4fz58yxcuJAuXboQExPDb7/9xvr169m9e3eWxzRgwAD69Olj346LiyMkJISwsDB8fX2zPJ4bJSQkEB0dTaNGjfD09LQ6HJEMUf+V7Ez9V7Iz9V+xWlwcvPaaO3PmmKNZDzyQzIwZBmXKVAGq3PK5rtR/U2a9OcLyZMvLy4uyZcsCUKtWLXbu3Mn48ePJkycPv//+O/7+/qnat2nThtq1a7Nx40aCgoL49ttvUx0/ceIEgH3aYVBQkH3f9W18fX3THdUC8Pb2xtvbO81+T09Py3+413O1eEQyQv1XsjP1X8nO1H/FClu3wjPPwOHD4OYGAwfCwIFueHpmrDi6K/TfjLy+y62zlZycTHx8PG+88QY//vgje/bssX8BjB07lmnTpgEQGhrK3r17OXnypP350dHR+Pr62qcihoaGsm7dulSvER0dbb8vTEREREREnCMx0SyAUaeOmWiVKgWbNpnVBnNDzm/pyNaAAQNo3LgxJUqU4MKFC0RFRbFx40ZWr15NUFBQukUxSpQoQenSpQEICwujUqVKdOrUiffff5/Y2FgGDhxIRESEfWSqe/fufPLJJ/Tr14/nn3+e9evXM3/+fJYvX56l1yoiIiIikpv8/rs5mrVjh7ndqRN8/DH4+VkbV1ayNNk6efIknTt35vjx4/j5+VG1alVWr15No0aNHHq+u7s7y5Yto0ePHoSGhpIvXz66dOnCO++8Y29TunRpli9fTu/evRk/fjzBwcF89tlnKvsuIiIiIuIEhgEzZ0LPnuZixX5+EBkJTz9tdWRZz9Jka+rUqRlqbxhGmn0lS5ZkxYoVt3xevXr1LCm0ISIiIiKSm5w9Cy+9BAsWmNu1a5trZ5UsaW1cVnG5e7ZERERERCT72bgRqlY1Ey0PDxg+HDZsyL2JFrhANUIREREREcm+rl2DQYPg/ffNKYT33ANz5sD991sdmfWUbImIiIiIyB05eBA6dIDvvze3u3aFsWMhf35r43IVmkYoIiIiIiIZYhgwZQrUqGEmWoUKwaJF8OmnSrSup5EtERERERFx2KlT8OKL8OWX5naDBjBjBtx1l7VxuSKNbImIiIiIiEPWrDGLYHz5JXh5wYcfmvuUaKVPI1siIiIiInJLV6/CgAEwbpy5XbEiREVB9epWRuX6lGyJiIiIiMhN7dtnFsHYu9fcjogwKw/mzWttXNmBphGKiIiIiEgahgEffwz33WcmWoGBsGwZfPKJEi1HaWRLRERERERSiY2F556DVavM7caNYdo0KFrU2riyG41siYiIiIiI3bJlZhGMVavAx8cc3Vq+XInWndDIloiIiIiIcPkyvP46REaa21WrmkUwKle2Nq7sTCNbIiIiIiK53O7dUKvWv4lWnz7w7bdKtP4rJVsiIiIiIrlUcrK5VtaDD8LPP0OxYua6WaNHg7e31dFlf5pGKCIiIiKSCx09Cp07w/r15nbLlvDpp1CkiKVh5Sga2RIRERERyWUWLYIqVcxEK29eM8lavFiJVmbTyJaIiIiISC5x8SK89hp8/rm5XauWWQSjXDlr48qpNLIlIiIiIpILfPst1KhhJlo2GwwYANu2KdFyJo1siYiIiIjkYElJ8N57MHiw+TgkBGbNgrp1rY4s51OyJSIiIiKSQ/35JzzzDGzZYm63a2eWdy9Y0Nq4cgtNIxQRERERyYGiosyFibdsgQIFYOZM+OILJVpZSSNbIiIiIiI5yPnzEBEBc+aY26GhMHs23H23tXHlRhrZEhERERHJIbZsgWrVzETLzQ2GDIFNm5RoWUUjWyIiIiIi2VxCArzzDowYAcnJULq0mXCFhlodWe6mZEtEREREJBv77Tfo2NEs7Q7QpQt89BH4+lobl2gaoYiIiIhItmQYMG0aVK9uJlr+/jB3LkyfrkTLVWhkS0REREQkmzlzBl56CRYuNLfr1jWrDZYoYW1ckppGtkREREREspENG8yS7gsXgocHjBwJ69Yp0XJFGtkSEREREckGrl2DgQPhww/NKYTlyplFMO67z+rI5GaUbImIiIiIuLiff4YOHWD3bnO7WzcYMwby5bM2Lrk1TSMUEREREXFRhgGTJkHNmmaiVbgwLFkCkycr0coONLIlIiIiIuKCTp2CF16Ar782txs1MisNFi9uaViSARrZEhERERFxMatWQZUqZqLl5WVOGVy1SolWdqORLRERERERF3H1KvTvby5KDFC5slkEo1o1a+OSO6NkS0RERETEBezdaxbB2LfP3H7lFRg1CvLksTYuuXOaRigiIiIiYqHkZBg/Hu6/30y0AgNh+XJzdEuJVvZmabIVGRlJ1apV8fX1xdfXl9DQUFauXGk//tJLL1GmTBny5MlDQEAALVq04Oeff051jiNHjtC0aVPy5s1LYGAgffv2JTExMVWbjRs3UrNmTby9vSlbtizTp0/PissTEREREbml48ehSRPo1Qvi46FZM3OEq0kTqyOTzGBpshUcHMx7773Hrl27+O6773jsscdo0aIF+/fvB6BWrVpMmzaNAwcOsHr1agzDICwsjKSkJACSkpJo2rQp165dY9u2bcyYMYPp06czaNAg+2scOnSIpk2bUr9+ffbs2UOvXr3o2rUrq1evtuSaRUREREQAvvoKqlaF1avBxwcmTjT3BQZaHZlkFkvv2WrevHmq7eHDhxMZGcmOHTuoXLky3bp1sx8rVaoU7777LtWqVePw4cOUKVOGNWvW8NNPP7F27VqKFi1K9erVGTZsGP3792fIkCF4eXkxadIkSpcuzejRowGoWLEiW7ZsYezYsYSHh2fp9YqIiIiIXL4M//ufuX4WQPXqZhGMSpUsDUucwGUKZCQlJbFgwQIuXbpEaGhomuOXLl1i2rRplC5dmpCQEAC2b99OlSpVKFq0qL1deHg4PXr0YP/+/dSoUYPt27fTsGHDVOcKDw+nV69eN40lPj6e+Ph4+3ZcXBwACQkJJCQk/JfLzBQpMbhCLCIZpf4r2Zn6r2Rn6r+uYfdu6NTJg19+sQHQp08SQ4cm4+0N+tHcnCv134zEYHmytXfvXkJDQ7l69Sr58+dnyZIlVLourZ84cSL9+vXj0qVLlC9fnujoaLy8vACIjY1NlWgB9u3Y2NhbtomLi+PKlSvkSeeuw5EjRzJ06NA0+9esWUPevHn/2wVnoujoaKtDELlj6r+Snan/Snam/muN5GRYurQsUVEVSUy0UajQFV57bTfVqp1i3Tqro8s+XKH/Xr582eG2lidb5cuXZ8+ePZw/f56FCxfSpUsXYmJi7AlXx44dadSoEcePH+fDDz/kqaeeYuvWrfj4+DgtpgEDBtCnTx/7dlxcHCEhIYSFheHr6+u013VUQkIC0dHRNGrUCE9PT6vDEckQ9V/JztR/JTtT/7XOX3/BCy+4s3GjWS6hZctkIiM9KFz4fosjyz5cqf+mzHpzhOXJlpeXF2XLlgXMghg7d+5k/PjxTJ48GQA/Pz/8/Py45557eOihhyhYsCBLlizh6aefJigoiG+//TbV+U6cOAFAUFCQ/d+Ufde38fX1TXdUC8Db2xtvb+80+z09PS3/4V7P1eIRyQj1X8nO1H8lO1P/zVoLFsBLL8HZs5Avn1nO/bnn3LDZtALTnXCF/puR13e5n3JycnKq+6WuZxgGhmHYj4eGhrJ3715OnjxpbxMdHY2vr699ZCw0NJR1N4zNRkdHp3tfmIiIiIhIZrhwAZ5/Hp56yky07r/fvF/r+efBZrM6Oskqlo5sDRgwgMaNG1OiRAkuXLhAVFQUGzduZPXq1fzxxx/MmzePsLAwAgIC+Pvvv3nvvffIkycPTf5/4YGwsDAqVapEp06deP/994mNjWXgwIFERETYR6a6d+/OJ598Qr9+/Xj++edZv3498+fPZ/ny5VZeuoiIiIjkUDt2wDPPwO+/m4nVm2/C4MGgAcXcx9Jk6+TJk3Tu3Jnjx4/j5+dH1apVWb16NY0aNeLYsWNs3ryZcePGcfbsWYoWLUqdOnXYtm0bgf+/+IC7uzvLli2jR48ehIaGki9fPrp06cI777xjf43SpUuzfPlyevfuzfjx4wkODuazzz5T2XcRERERyVSJiTByJAwdCklJUKIEzJoFdepYHZlYxdJka+rUqTc9Vrx4cVasWHHbc5QsWfK27erVq8fu3bszHJ+IiIiIiCMOHYJOnWDrVnP76afNRYr9/S0NSyzmcvdsiYiIiIhkJ7NnQ7VqZqJVoIC5HRWlREtcoBqhiIiIiEh2dO4cRESYiRXAI4+Y0wZLl7Y0LHEhGtkSEREREcmgzZvN0ayoKHB3h3fegY0blWhJahrZEhERERFxUEKCWQBj5EhIToa774Y5c+Chh6yOTFyRki0REREREQf8+it07Ag7d5rbzz5rLlJcoIClYYkL0zRCEREREZFbMAyYOhVq1DATLX9/mD8fpk1ToiW3ppEtEREREZGbOH0aunWDxYvN7Xr1YOZMCAmxNCzJJjSyJSIiIiKSjnXroGpVM9Hy9IRRo2DtWiVa4jiNbImIiIiIXCc+HgYOhA8/NLfLlzeLYNSqZW1ckv0o2RIRERER+X8HDkCHDrBnj7ndvbuZdOXLZ2lYkk1pGqGIiIiI5HqGARMnQs2aZqJVpAh8+SVERirRkjunkS0RERERydVOnoTnn4fly83t8HCz0mCxYtbGJdmfRrZEREREJNdauRKqVDETLW9vGD8eVqxQoiWZQyNbIiIiIpLrXLkC/fvDxx+b2/feC1FRZuIlklk0siUiIiIiucqPP8L99/+baL32mrlYsRItyWxKtkREREQkV0hOhrFjzURr/34oWtScRjhuHPj4WB2d5ESaRigiIiIiOd6xY/DssxAdbW43bw5Tp0JAgKVhSQ6nkS0RERERydGWLoWqVc1EK08es5z7l18q0RLn08iWiIiIiORIly5Bnz4wZYq5XaOGWQSjQgVr45LcQyNbIiIiIpLj7NplLlA8ZQrYbNCvH+zYoURLspZGtkREREQkx0hKgg8+gLffhsREuOsumDkTHnvM6sgkN1KyJSIiIiI5wl9/QadOEBNjbrdpY45sFSpkbVySe2kaoYiIiIhke/Pnm0UwYmIgXz74/HNYsECJllhLI1siIiIikm3FxcGrr8KMGeb2Aw/AnDlQtqy1cYmARrZEREREJJvavt2sMDhjBri5mfdpbdmiREtch0a2RERERCRbSUyEESPgnXfMghglS8Ls2fDoo1ZHJpKaki0RERERyTb++MMsgrFtm7ndsSNMmAB+ftbGJZIeTSMUEREREZdnGDBrFlSvbiZavr7mvVmzZyvREtelkS0RERERcWnnzkGPHjB3rrn96KNm4lWqlJVRidyeRrZERERExGXFxJgl3efOBXd3ePdd2LhRiZZkDxrZEhERERGXk5AAQ4bAyJHmFMIyZSAqyiztLpJdKNkSEREREZfyyy9m4YvvvjO3n38exo+H/PmtjUskozSNUERERERcgmHAZ5+Za2d99x0ULAgLF8LUqUq0JHvSyJaIiIiIWO70aXjxRViyxNx+7DFzseLgYGvjEvkvNLIlIiIiIpZau9YsgrFkCXh6wgcfQHS0Ei3J/jSyJSIiIiKWiI+HN9+EMWPM7QoVzCIYNWpYG5dIZrF0ZCsyMpKqVavi6+uLr68voaGhrFy5EoAzZ87wyiuvUL58efLkyUOJEiV49dVXOX/+fKpzHDlyhKZNm5I3b14CAwPp27cviYmJqdps3LiRmjVr4u3tTdmyZZk+fXpWXaKIiIiIpGP/fnjwwX8TrR49YNcuJVqSs1g6shUcHMx7773HPffcg2EYzJgxgxYtWrB7924Mw+DYsWN8+OGHVKpUiT///JPu3btz7NgxFi5cCEBSUhJNmzYlKCiIbdu2cfz4cTp37oynpycjRowA4NChQzRt2pTu3bszZ84c1q1bR9euXSlWrBjh4eFWXr6IiIhIrmMYMHEivP46XL0KAQFmAYzmza2OTCTzWZpsNb/ht2r48OFERkayY8cOXnjhBRYtWmQ/VqZMGYYPH84zzzxDYmIiHh4erFmzhp9++om1a9dStGhRqlevzrBhw+jfvz9DhgzBy8uLSZMmUbp0aUaPHg1AxYoV2bJlC2PHjlWyJSIiIpKFTpwwy7ivWGFuP/44TJsGQUHWxiXiLC5zz1ZSUhILFizg0qVLhIaGptvm/Pnz+Pr64uFhhr19+3aqVKlC0aJF7W3Cw8Pp0aMH+/fvp0aNGmzfvp2GDRumOk94eDi9evW6aSzx8fHEx8fbt+Pi4gBISEggISHhTi8x06TE4AqxiGSU+q9kZ+q/kp1Z3X9XrrTx4ovunDxpw9vb4L33knn55WRsNnMBY5Fbsbr/Xi8jMViebO3du5fQ0FCuXr1K/vz5WbJkCZUqVUrT7p9//mHYsGF069bNvi82NjZVogXYt2NjY2/ZJi4ujitXrpAnT540rzVy5EiGDh2aZv+aNWvImzdvxi/SSaKjo60OQeSOqf9Kdqb+K9lZVvff+Hg3ZsyozIoVdwNQsuR5+vTZRcmSF/j/W/VFHOYKf38vX77scFvLk63y5cuzZ88ezp8/z8KFC+nSpQsxMTGpEq64uDiaNm1KpUqVGDJkiNNjGjBgAH369En1+iEhIYSFheHr6+v017+dhIQEoqOjadSoEZ6enlaHI5Ih6r+Snan/SnZmRf/dswe6dPHgwAEbAK+9lsSwYXnx8amdJa8vOYcr/f1NmfXmCMuTLS8vL8qWLQtArVq12LlzJ+PHj2fy5MkAXLhwgccff5wCBQqwZMmSVN/coKAgvv3221TnO3HihP1Yyr8p+65v4+vrm+6oFoC3tzfe3t5p9nt6elr+w72eq8UjkhHqv5Kdqf9KdpYV/Tc5GcaNgwED4No1856sGTMgLMwdcHfqa0vO5gp/fzPy+i63qHFycrL9fqm4uDjCwsLw8vLiq6++wsfHJ1Xb0NBQ9u7dy8mTJ+37oqOj8fX1tY+MhYaGsm7dulTPi46Ovul9YSIiIiJy544dg/Bw+N//zESrRQvYuxfCwqyOTCTrWTqyNWDAABo3bkyJEiW4cOECUVFRbNy4kdWrV9sTrcuXLzN79mzi4uLsQ3YBAQG4u7sTFhZGpUqV6NSpE++//z6xsbEMHDiQiIgI+8hU9+7d+eSTT+jXrx/PP/8869evZ/78+SxfvtzKSxcRERHJcZYsga5d4cwZyJPHHN168UWw2ayOTMQaliZbJ0+epHPnzhw/fhw/Pz+qVq3K6tWradSoERs3buSbb74BsE8zTHHo0CFKlSqFu7s7y5Yto0ePHoSGhpIvXz66dOnCO++8Y29bunRpli9fTu/evRk/fjzBwcF89tlnKvsuIiIikkkuXoTeveGzz8ztmjVhzhyoUMHauESsZmmyNXXq1Jseq1evHoZh3PYcJUuWZEXKYg23ONfu3bszHJ+IiIiI3NrOndCxI/z6qzmC1b8/DB0KXl5WRyZiPcsLZIiIiIhI9pOUBO+/D4MGQWIiBAfDrFlQr57VkYm4DiVbIiIiIpIhR45Ap06waZO5/eSTMHkyFCxobVwirsblqhGKiIiIiOuaOxeqVjUTrfz5Yfp0mDdPiZZIejSyJSIiIiK3FRcHPXuaUwUBHnoIZs+GMmWsjUvElWlkS0RERERuads2qF7dTLTc3GDwYNi8WYmWyO1keGRr/fr1LF68mMOHD2Oz2ShdujRt27alTp06zohPRERERCySmAjvvgvDhkFyMpQqZY5mPfKI1ZGJZA8ZGtnq3r07DRs25IsvvuD06dOcOnWKOXPmUL9+fV555RVnxSgiIiIiWeyPP6B2bbOMe3KyWRDjhx+UaIlkhMPJ1pIlS5g2bRqff/45//zzD9u3b2fHjh2cOnWKTz/9lClTpvDVV185M1YRERERcTLDgJkzoVo12LED/PwgKsrc5+trdXQi2YvD0winTZtGnz59ePbZZ1Ptd3Nz4/nnn+fgwYNMnTqVJ554IrNjFBEREZEscPYsdO8O8+eb23XqmElWyZLWxiWSXTk8svX999/TqlWrmx5v3bo1u3btypSgRERERCRrbdxolnSfPx88PGDECFi/XomWyH/h8MjWP//8Q3Bw8E2PBwcHc/r06UwJSkRERESyxrVrZnXBUaPMKYT33ANz5sD991sdmUj253Cyde3aNTw9PW9+Ig8Prl27lilBiYiIiEjmSUqCmBgbmzbdRb58NurXB3d3OHgQOnSA778323XtCmPHmosVi8h/l6HS72+//TZ58+ZN99jly5czJSARERERyTyLF8Nrr8Hff3sA9zFmDAQHQ7Nm5v1Yly9DoULw6afQurXV0YrkLA4nW3Xq1OHgwYO3bSMiIiIirmHxYmjb1pweeL2//4ZJk8zHDRvC9Olw111ZHp5IjudwsrVx40YnhiEiIiIimSkpyRzRujHRup6/P6xYAbe4U0RE/oMMLWqcnsTERC5evJgZsYiIiIhIJtm82RzBupVz52Dr1iwJRyRXcjjZ+vrrr5k+fXqqfcOHDyd//vz4+/sTFhbG2bNnMzs+EREREbkDx49nbjsRyTiHk60xY8Zw6dIl+/a2bdsYNGgQb7/9NvPnz+evv/5i2LBhTglSRERERDKmWLHMbSciGedwsrV//34efvhh+/bChQtp1KgRb731Fq1bt2b06NF8/fXXTglSRERERDKmdu1bJ1I2G4SEmO1ExDkcTrYuXLhA4cKF7dtbtmyhQYMG9u3KlStz7NixzI1ORERERO6IYZgl3dNjs5n/jhtnrrclIs7hcLJ11113ceDAAQAuXrzIDz/8kGqk6/Tp0zddg0tEREREstaAAbB/P/j4QFBQ6mPBwbBwodbVEnE2h0u/P/nkk/Tq1Ys333yTFStWEBQUxEMPPWQ//t1331G+fHmnBCkiIiIijluwAD780Hw8eza0bAkbNiSycuUeGjeuTv36HhrREskCDidbgwYN4ujRo7z66qsEBQUxe/Zs3K/7Lf3iiy9o3ry5U4IUEREREcccOADPPWc+7tcP2rQxH9eta3Dp0lHq1q2mREskizicbOXJk4eZM2fe9PiGDRsyJSARERERuTNxcdCqFVy6BPXrw/DhVkckkrv950WNRURERMR6hmGOaB08aN6TNXcueDj8sbqIOIPDv4IFCxbEllK65jp+fn6UK1eO119/nUaNGmVqcCIiIiLimA8+gMWLwcvLLH4RGGh1RCLicLI1bty4dPefO3eOXbt20axZMxYuXKj7tkRERESy2Pr1ZvVBgI8+ggcftDYeETE5nGx16dLllserV6/OyJEjlWyJiIiIZKG//oJ27SA5GZ59Frp1szoiEUmRafdsNWvWjJ9//jmzTiciIiIitxEfD23bwj//QI0aMHHivwsWi4j1Mi3Zio+Px8vLK7NOJyIiIiK38dpr8O23ULAgLFoEefJYHZGIXC/Tkq2pU6dSvXr1zDqdiIiIiNzCtGkwebI5khUVBaVLWx2RiNzI4Xu2+vTpk+7+8+fP8/333/PLL7+wadOmTAtMRERERNL3/ffQo4f5eOhQePxxa+MRkfQ5nGzt3r073f2+vr40atSIxYsXU1ofqYiIiIg41enT0KaNeb9Ws2bw1ltWRyQiN+NwsrVhwwZnxiEiIiIit5GUBB07wuHDUKYMzJoFbpl2U4iIZDb9eoqIiIhkE0OHwurVZiGMxYvB39/qiETkVpRsiYiIiGQDX38Nw4aZjz/9FKpWtTYeEbk9S5OtyMhIqlatiq+vL76+voSGhrJy5Ur78SlTplCvXj18fX2x2WycO3cuzTnOnDlDx44d8fX1xd/fnxdeeIGLFy+mavPjjz9Su3ZtfHx8CAkJ4f3333f2pYmIiIhkmt9+g06dzMevvGJOJRQR12dpshUcHMx7773Hrl27+O6773jsscdo0aIF+/fvB+Dy5cs8/vjjvPnmmzc9R8eOHdm/fz/R0dEsW7aMTZs20e26pdPj4uIICwujZMmS7Nq1iw8++IAhQ4YwZcoUp1+fiIiIyH916RK0bg3nz8PDD8OHH1odkYg4yuECGc7QvHnzVNvDhw8nMjKSHTt2ULlyZXr16gXAxo0b033+gQMHWLVqFTt37uS+++4D4OOPP6ZJkyZ8+OGHFC9enDlz5nDt2jU+//xzvLy8qFy5Mnv27GHMmDGpkjIRERERV2MY0K0b7N0LRYvCggXg5WV1VCLiqDtKtn799Vc2bNjAyZMnSU5OTnVs0KBBdxRIUlISCxYs4NKlS4SGhjr0nO3bt+Pv729PtAAaNmyIm5sb33zzDa1atWL79u3UqVMHr+v+MoWHhzNq1CjOnj1LwYIF05w3Pj6e+Ph4+3ZcXBwACQkJJCQk3NH1ZaaUGFwhFpGMUv+V7Ez9V7LahAluREW54+5uEBWVRECAwZ12P/Vfyc5cqf9mJIYMJ1uffvopPXr0oEiRIgQFBWGz2ezHbDZbhpOtvXv3EhoaytWrV8mfPz9LliyhUqVKDj03NjaWwMDAVPs8PDwoVKgQsbGx9jY3rv9VtGhR+7H0kq2RI0cydOjQNPvXrFlD3rx5HYotK0RHR1sdgsgdU/+V7Ez9V7LCgQOFGDjwEQC6dNnHhQt/sGLFfz+v+q9kZ67Qfy9fvuxw2wwnW++++y7Dhw+nf//+GX1qusqXL8+ePXs4f/48CxcupEuXLsTExDiccDnDgAED6NOnj307Li6OkJAQwsLC8PX1tSyuFAkJCURHR9OoUSM8PT2tDkckQ9R/JTtT/5WsEhsLPXp4kJRk48knk4mMrIDNVuE/nVP9V7IzV+q/KbPeHJHhZOvs2bM8+eSTGX3aTXl5eVG2bFkAatWqxc6dOxk/fjyTJ0++7XODgoI4efJkqn2JiYmcOXOGoKAge5sTJ06kapOyndLmRt7e3nh7e6fZ7+npafkP93quFo9IRqj/Snam/ivOlJBgVhs8fhwqV4bPP3fDyyvzapqp/0p25gr9NyOvn+Hf3CeffJI1a9Zk9GkOS05OTnW/1K2EhoZy7tw5du3aZd+3fv16kpOTefDBB+1tNm3alGpuZXR0NOXLl093CqGIiIiIlfr1g82bwdfXXLg4f36rIxKRO5Xhka2yZcvy9ttvs2PHDqpUqZIms3v11VcdPteAAQNo3LgxJUqU4MKFC0RFRbFx40ZWr14NmPdUxcbG8ttvvwHm/V0FChSgRIkSFCpUiIoVK/L444/z4osvMmnSJBISEujZsyft27enePHiAHTo0IGhQ4fywgsv0L9/f/bt28f48eMZO3ZsRi9dRERExKm++ALGjTMfz5wJ5cpZGo6I/EcZTramTJlC/vz5iYmJISYmJtUxm82WoWTr5MmTdO7cmePHj+Pn50fVqlVZvXo1jRo1AmDSpEmpClXUqVMHgGnTpvHss88CMGfOHHr27EmDBg1wc3OjTZs2fPTRR/bn+Pn5sWbNGiIiIqhVqxZFihRh0KBBKvsuIiIiLmXfPuja1Xw8YAC0aGFtPCLy32U42Tp06FCmvfjUqVNveXzIkCEMGTLklm0KFSpEVFTULdtUrVqVzZs3ZzQ8ERERkSxx/ry5cPHly9CwIQwbZnVEIpIZ/tPdloZhYBhGZsUiIiIikuskJ0OXLvDrr1CihDmV0N3d6qhEJDPcUbI1c+ZMqlSpQp48eciTJw9Vq1Zl1qxZmR2biIiISI733nvw5Zfg5QWLFkGRIlZHJCKZJcPTCMeMGcPbb79Nz549eeQRc6G9LVu20L17d/755x969+6d6UGKiIiI5ERr1sDAgebjCRPgvvusjUdEMleGk62PP/6YyMhIOnfubN/3xBNPULlyZYYMGaJkS0RERMQBf/4JHTqAYZiFMVKKY4hIzpHhaYTHjx/n4YcfTrP/4Ycf5vjx45kSlIiIiEhOdvUqtGkDp0+bo1kff2x1RCLiDBlOtsqWLcv8+fPT7J83bx733HNPpgQlIiIikpP17Am7dkHhwrBwIfj4WB2RiDhDhqcRDh06lHbt2rFp0yb7PVtbt25l3bp16SZhIiIiIvKvzz6DqVPBzQ3mzoWSJa2OSEScJcMjW23atOGbb76hSJEiLF26lKVLl1KkSBG+/fZbWrVq5YwYRURERHKEnTshIsJ8/O675ppaIpJzZXhkC6BWrVrMnj07s2MRERERybH++ce8T+vaNWjZEt54w+qIRMTZHEq24uLi8PX1tT++lZR2IiIiImJKSoKnn4a//oJy5WD6dLDZrI5KRJzNoWSrYMGCHD9+nMDAQPz9/bGl89fBMAxsNhtJSUmZHqSIiIhIdvb227B2LeTNC4sXg5+f1RGJSFZwKNlav349hQoVAmDDhg1ODUhEREQkJ1m6FEaONB9//jlUrmxpOCKShRxKturWrZvuYxERERG5uV9+gc6dzce9e0O7dtbGIyJZy6Fk68cff3T4hFWrVr3jYERERERyiosXoVUruHAB6tSBUaOsjkhEsppDyVb16tWx2WwYhnHLdrpnS0RERAQMA7p2hZ9+gmLFYN488PS0OioRyWoOJVuHDh1ydhwiIiIiOca4cWaC5eEBCxdCUJDVEYmIFRxKtkpqaXMRERERh2zaBH37mo/HjoWHH7Y2HhGxjkPJ1ldffeXwCZ944ok7DkZEREQkOzt2DJ56ylxXq2NHiIiwOiIRsZJDyVbLli0dOpnu2RIREZHc6to1ePJJOHECqlaFKVO0cLFIbudQspWcnOzsOERERESytf/9D7ZtMxcsXrTIXMBYRHI3N6sDEBEREcnuZs+GTz7593HZstbGIyKuwaGRrY8++ohu3brh4+PDRx99dMu2r776aqYEJiIiIpId/PADdOtmPn77bWjWzNp4RMR1OJRsjR07lo4dO+Lj48PYsWNv2s5msynZEhERkVzj7Flo3RquXIHHH4fBg62OSERcSYbX2dKaWyIiIiKQnAydO8Mff0CpUjBnDri7Wx2ViLgS3bMlIiIicgeGD4dly8DHBxYvhkKFrI5IRFxNhpKtX3/9lUWLFtlHt5YvX06dOnW4//77GT58OIZhOCVIEREREVeycuW/UwYjI6FGDWvjERHX5NA0QoAlS5bw1FNP4ebmhs1mY8qUKbz00kvUq1cPX19fhgwZgoeHB/3793dmvCIiIiKWOnTIXLDYMKB7d3j2WasjEhFX5fDI1vDhw+nXrx9Xr14lMjKS7t27M3LkSFauXMmyZcuYMGEC06dPd2KoIiIiIta6csUsiHH2LDz4IIwbZ3VEIuLKHE62Dh48yPPPP4/NZqNLly5cu3aNhg0b2o+HhYXx559/OiVIEREREasZBvToAXv2QEAALFwI3t5WRyUirszhZOvSpUsUKFDAfJKbG3ny5CHvdUuj58mTh/j4+MyPUERERMQFTJ4MM2aAmxvMnQvBwVZHJCKuzuFky2azYbPZbrotIiIiklN98w2kLCX63nvw2GPWxiMi2YPDBTIMw6BcuXL2BOvixYvUqFEDNzc3+3ERERGRnObkSWjTBhISzH9ff93qiEQku3A42Zo2bZoz4xARERFxOYmJ0L49HD0KFSrAtGmgiT0i4iiHk60uXbo4Mw4RERERl/Pmm7BhA+TPby5c/P+3r4uIOCRDixqLiIiI5BaLFsEHH5iPp02DihWtjUdEsh8lWyIiIiI3OHDg38WKX38d2ra1NBwRyaYsTbYiIyOpWrUqvr6++Pr6EhoaysqVK+3Hr169SkREBIULFyZ//vy0adOGEydOpDrHkSNHaNq0KXnz5iUwMJC+ffuSmJiYqs3GjRupWbMm3t7elC1bVosvi4iIyE1duGAuXHzxItSrByNHWh2RiGRXliZbwcHBvPfee+zatYvvvvuOxx57jBYtWrB//34Aevfuzddff82CBQuIiYnh2LFjtG7d2v78pKQkmjZtyrVr19i2bRszZsxg+vTpDBo0yN7m0KFDNG3alPr167Nnzx569epF165dWb16dZZfr4iIiLg2w4DnnoOff4a77oJ588DD4TvcRURSs/TPR/PmzVNtDx8+nMjISHbs2EFwcDBTp04lKiqKx/5/MYtp06ZRsWJFduzYwUMPPcSaNWv46aefWLt2LUWLFqV69eoMGzaM/v37M2TIELy8vJg0aRKlS5dm9OjRAFSsWJEtW7YwduxYwsPDs/yaRURExHWNHm3eq+XpCQsXQmCg1RGJSHaW4WQrKSmJ6dOns27dOk6ePElycnKq4+vXr7+jQJKSkliwYAGXLl0iNDSUXbt2kZCQQMOGDe1tKlSoQIkSJdi+fTsPPfQQ27dvp0qVKhQtWtTeJjw8nB49erB//35q1KjB9u3bU50jpU2vXr1uGkt8fDzx8fH27bi4OAASEhJISEi4o+vLTCkxuEIsIhml/ivZmfpvzrZxo43+/d0BG2PGJFGrVjI56Uet/ivZmSv134zEkOFk67XXXmP69Ok0bdqUe++9177I8Z3au3cvoaGhXL16lfz587NkyRIqVarEnj178PLywt/fP1X7okWLEhsbC0BsbGyqRCvleMqxW7WJi4vjypUr5MmTJ01MI0eOZOjQoWn2r1mzhrx5897xtWa26Ohoq0MQuWPqv5Kdqf/mPP/848P//leP5GQP6tc/QnDwblassDoq51D/lezMFfrv5cuXHW6b4WRr7ty5zJ8/nyZNmmT0qekqX748e/bs4fz58yxcuJAuXboQExOTKee+UwMGDKBPnz727bi4OEJCQggLC8PX19fCyEwJCQlER0fTqFEjPD09rQ5HJEPUfyU7U//NmeLjoUEDd86fd6NaNYOlS4uRJ08xq8PKdOq/kp25Uv9NmfXmiAwnW15eXpQtWzajT3PofLVq1WLnzp2MHz+edu3ace3aNc6dO5dqdOvEiRMEBQUBEBQUxLfffpvqfCnVCq9vc2MFwxMnTuDr65vuqBaAt7c33t7eafZ7enpa/sO9nqvFI5IR6r+Snan/5iyvvQbffgsFC8LixTZ8fXP2z1b9V7IzV+i/GXn9DFcj/N///sf48eMxDCOjT3VIcnIy8fHx1KpVC09PT9atW2c/dvDgQY4cOUJoaCgAoaGh7N27l5MnT9rbREdH4+vrS6VKlextrj9HSpuUc4iIiEjuNWMGREaCzQZz5sDdd1sdkYjkJBke2dqyZQsbNmxg5cqVVK5cOU1mt3jxYofPNWDAABo3bkyJEiW4cOECUVFRbNy4kdWrV+Pn58cLL7xAnz59KFSoEL6+vrzyyiuEhoby0EMPARAWFkalSpXo1KkT77//PrGxsQwcOJCIiAj7yFT37t355JNP6NevH88//zzr169n/vz5LF++PKOXLiIiIjnI7t3Qvbv5eMgQaNzY0nBEJAfKcLLl7+9Pq1atMuXFT548SefOnTl+/Dh+fn5UrVqV1atX06hRIwDGjh2Lm5sbbdq0IT4+nvDwcCZOnGh/vru7O8uWLaNHjx6EhoaSL18+unTpwjvvvGNvU7p0aZYvX07v3r0ZP348wcHBfPbZZyr7LiIikoudOQNt2sDVq9C0KQwcaHVEIpITZTjZmjZtWqa9+NSpU2953MfHhwkTJjBhwoSbtilZsiQrblMuqF69euzevfuOYhQREZGcJTkZOnaEQ4fMaYOzZoFbhm+sEBG5Pf1pERERkVxl6FBYtQry5IHFi83CGCIizuDQyFbNmjVZt24dBQsWpEaNGrdcW+v777/PtOBEREREMtOyZZByt8GUKVCtmrXxiEjO5lCy1aJFC3vBiZYtWzozHhERERGn+P136NTJfBwRAc88Y208IpLzOZRsDR48ON3HIiIiItnB5cvQujWcOwehoTBmjNURiUhuoHu2REREJEczDHjpJfjxRwgMhAULwMvL6qhEJDdQsiUiIiI52sSJMHs2uLvD/Plw111WRyQiuYWSLREREcmxtm2DXr3Mx++/D3XrWhqOiOQySrZEREQkR4qNhSefhMREeOop6N3b6ohEJLfJ0KLGcXFxfPPNN1y7do0HHniAgIAAZ8UlIiIicscSEqBdOzh2DCpVgqlT4RYr14iIOIXDydaePXto0qQJJ06cwDAMChQowPz58wkPD3dmfCIiIiIZ9sYbsGkTFChgLlycP7/VEYlIbuTwNML+/ftTunRptmzZwq5du2jQoAE9e/Z0ZmwiIiIiGTZv3r+l3WfMgPLlrY1HRHIvh0e2du3axZo1a6hZsyYAn3/+OYUKFSIuLg5fX1+nBSgiIiLiqP374YUXzMdvvAGtWlkbj4jkbg6PbJ05c4bg4GD7tr+/P/ny5eP06dNOCUxEREQkI86fNxcuvnQJGjaEd9+1OiIRye0yVCDjp59+IjY21r5tGAYHDhzgwoUL9n1Vq1bNvOhEREREHGAY8Oyz8MsvEBICUVHmuloiIlbKULLVoEEDDMNIta9Zs2bYbDYMw8Bms5GUlJSpAYqIiIjczqhRsHQpeHnBokWggski4gocTrYOHTrkzDhERERE7sjatfDWW+bjTz6B+++3Nh4RkRQOJ1slS5Z0ZhwiIiIiGXbkCLRvD8nJZmGMF1+0OiIRkX9laBohwK+//sqXX37J4cOHsdlslC5dmpYtW3L33Xc7Iz4RERGRdF29Cm3awOnTUKuWOaolIuJKMpRsjRw5kkGDBpGcnExgYCCGYXDq1CneeOMNRowYweuvv+6sOEVERERSefVV+O47KFTIvE/Lx8fqiEREUnO49PuGDRsYOHAgb731Fv/88w/Hjx8nNjbWnmy98cYbbNq0yZmxioiIiAAwdSp8+inYbPDFF6C7HUTEFTk8sjVp0iS6du3KkCFDUu0vVKgQ77zzDrGxsURGRlKnTp3MjlFERETE7rvvICLCfPzuuxAWZm08IiI34/DI1rfffkunTp1uerxTp07s2LEjU4ISERERSc8//5j3acXHwxNPwBtvWB2RiMjNOZxsnThxglKlSt30eOnSpVMteCwiIiKSmZKSoEMHswJh2bIwcya4OfxORkQk6zn8J+rq1at4eXnd9LinpyfXrl3LlKBEREREbjRoEERHQ968sGQJ+PlZHZGIyK1lqBrhZ599Rv78+dM9duHChUwJSERERORGX34JI0aYjz/7DO6919p4REQc4XCyVaJECT799NPbthERERHJTL/8Ap07m49few2eftraeEREHOVwsnX48GEnhiEiIiKS1qVL0Lo1xMXBo4/CBx9YHZGIiON0W6mIiIi4JMOArl1h/34ICoL588HT0+qoREQc5/DI1pUrV1i3bh3NmjUDYMCAAcTHx9uPu7u7M2zYMHy0fLuIiIhkgo8+grlzwcMDFiyAYsWsjkhEJGMcTrZmzJjB8uXL7cnWJ598QuXKlcmTJw8AP//8M8WLF6d3797OiVRERERyjc2b4fXXzcejR5tTCEVEshuHpxHOmTOHbt26pdoXFRXFhg0b2LBhAx988AHz58/P9ABFREQkdzl+HJ56ChITzXW1XnnF6ohERO6Mw8nWb7/9RpUqVezbPj4+uF23kuADDzzATz/9lLnRiYiISK5y7Ro8+STExkKVKjBlCthsVkclInJnHJ5GeO7cuVT3aJ06dSrV8eTk5FTHRURERDKqb1/YutVcsHjxYsiXz+qIRETunMMjW8HBwezbt++mx3/88UeCg4MzJSgRERHJfaKizKIYALNmQdmy1sYjIvJfOZxsNWnShEGDBnH16tU0x65cucLQoUNp2rRppgYnIiIiucOPP5pl3gEGDoTmza2NR0QkMzg8jfDNN99k/vz5lC9fnp49e1KuXDkADh48yCeffEJiYiJvvvmm0wIVERGRnOncOXPh4itXIDwchgyxOiIRkczh8MhW0aJF2bZtGxUrVuSNN96gVatWtGrVigEDBlCpUiW2bNlC0aJFM/TiI0eO5P7776dAgQIEBgbSsmVLDh48mKrN77//TqtWrQgICMDX15ennnqKEydOpGpz5swZOnbsiK+vL/7+/rzwwgtcvHgxVZsff/yR2rVr4+PjQ0hICO+//36GYhUREZHMl5wMnTvD779DyZIwZw64u1sdlYhI5nA42QIoXbo0q1at4tSpU+zYsYMdO3Zw6tQpVq1axd13353hF4+JiSEiIoIdO3YQHR1NQkICYWFhXLp0CYBLly4RFhaGzWZj/fr1bN26lWvXrtG8eXOSk5Pt5+nYsSP79+8nOjqaZcuWsWnTplRl6uPi4ggLC6NkyZLs2rWLDz74gCFDhjBlypQMxywiIiKZZ8QI+Ppr8PY2C2IULmx1RCIimcfhaYTXK1SoEA888MB/fvFVq1al2p4+fTqBgYHs2rWLOnXqsHXrVg4fPszu3bvx9fUFzMWVCxYsyPr162nYsCEHDhxg1apV7Ny5k/vuuw+Ajz/+mCZNmvDhhx9SvHhx5syZw7Vr1/j888/x8vKicuXK7NmzhzFjxqRZO0xERESyxurVMGiQ+TgyEmrWtDYeEZHMdkfJlrOcP38eMJM5gPj4eGw2G97e3vY2Ket7bdmyhYYNG7J9+3b8/f3tiRZAw4YNcXNz45tvvqFVq1Zs376dOnXq4OXlZW8THh7OqFGjOHv2LAULFkwVR3x8fKoy9nFxcQAkJCSQkJCQ+ReeQSkxuEIsIhml/ivZmfpv5jl8GDp08MAwbHTtmsQzzySjb6tzqf9KduZK/TcjMbhMspWcnEyvXr145JFHuPfeewF46KGHyJcvH/3792fEiBEYhsEbb7xBUlISx48fByA2NpbAwMBU5/Lw8KBQoULExsba25QuXTpVm5T7y2JjY9MkWyNHjmTo0KFpYlyzZg158+bNnAvOBNHR0VaHIHLH1H8lO1P//W/i490YMKA2Z874c889ZwkP38KKFcm3f6JkCvVfyc5cof9evnzZ4bYuk2xFRESwb98+tmzZYt8XEBDAggUL6NGjBx999BFubm48/fTT1KxZEze3DN1uliEDBgygT58+9u24uDhCQkIICwuzT2e0UkJCAtHR0TRq1AhPT0+rwxHJEPVfyc7Uf/87w4Bu3dz54w83ihQxWLUqPyEhj1sdVq6g/ivZmSv135RZb45wiWSrZ8+e9sIWNy6MHBYWxu+//84///yDh4cH/v7+BAUF2QtyBAUFcfLkyVTPSUxM5MyZMwQFBdnb3FjBMGU7pc31vL29U01dTOHp6Wn5D/d6rhaPSEao/0p2pv5756ZMgRkzwM0N5s61cffd+j5mNfVfyc5cof9m5PWdNzzkAMMw6NmzJ0uWLGH9+vVppvpdr0iRIvj7+7N+/XpOnjzJE088AUBoaCjnzp1j165d9rbr168nOTmZBx980N5m06ZNqeZXRkdHU758+TRTCEVERMQ5vv0WXnnFfDxiBDRoYG08IiLOZmmyFRERwezZs4mKiqJAgQLExsYSGxvLlStX7G2mTZvGjh07+P3335k9ezZPPvkkvXv3pnz58gBUrFiRxx9/nBdffJFvv/2WrVu30rNnT9q3b0/x4sUB6NChA15eXrzwwgvs37+fefPmMX78+FRTBUVERMR5Tp2CNm3g2jVo1Qr69bM6IhER57N0GmFkZCQA9erVS7V/2rRpPPvsswAcPHiQAQMGcObMGUqVKsVbb71F7969U7WfM2cOPXv2pEGDBri5udGmTRs++ugj+3E/Pz/WrFlDREQEtWrVokiRIgwaNEhl30VERLJAYiK0bw9//w3ly8P06WCzWR2ViIjzWZpsGYZx2zbvvfce77333i3bFCpUiKioqFu2qVq1Kps3b85QfCIiIvLfDRwI69dDvnzmwsUuUGtKRCRLWDqNUERERHK2xYth1Cjz8bRpUKmStfGIiGQlJVsiIiLiFD//DP9/VwD/+x88+aSl4YiIZDklWyIiIpLpLlyA1q3Nf+vWhdvcESAikiMp2RIREZFMZRjwwgtw4AAULw7z5oGHS6zsKSKStZRsiYiISKYaMwYWLABPT1i4EIoWtToiERFrKNkSERGRTLNxI/Tvbz4eNw5CQ62MRkTEWkq2REREJFP8/Te0awdJSdCpE/ToYXVEIiLWUrIlIiIi/9m1a2a1wZMnoVo1mDRJCxeLiCjZEhERkf+sd2/YsQP8/WHRIsib1+qIRESsp2RLRERE/pOZM2HiRPPxnDlQpoy18YiIuAolWyIiInLH9uyBl14yHw8eDE2aWBqOiIhLUbIlIiIid+TsWXPh4qtXzSRr0CCrIxIRcS1KtkRERCTDkpPhmWfg0CG4+26YPRvc9K5CRCQV/VkUERGRDBs2DFasAB8fsyBGwYJWRyQi4nqUbImIiEiGrFgBQ4eajydPhurVLQ1HRMRlKdkSERERh/3xB3TsCIYBL78MnTtbHZGIiOtSsiUiIiIOuXzZLIhx7hw89BCMHWt1RCIirk3JloiIiNyWYUD37vDDDxAYCAsXgpeX1VGJiLg2JVsikmWSkiAmxsamTXcRE2MjKcnqiETEUZGRMGsWuLvDvHlw111WRyQi4vqUbIlIlli8GEqVgkaNPBgz5j4aNfKgVClzv4i4tu3boVcv8/GoUVCvnpXRiIhkH0q2RMTpFi+Gtm3h779T7z961NyvhEvEdZ04Yf6eJiTAk09Cnz5WRyQikn0o2RIRp0pKgtdeM+/3uFHKvl690JRCEReUmAjt2sGxY1CxIkydCjab1VGJiGQfSrZExKk2b047onU9w4C//jLbiYhreeMNiImBAgXMEegCBayOSEQke1GyJSJO888/MHOmY22PH3duLCKSMQsWwOjR5uPp06FCBUvDERHJlpRsiUimunwZvvgCmjWDYsVg2jTHnrdpk7l2j4hY76ef4LnnzMf9+5tra4mISMYp2RKR/ywxEVatgk6dzPV3OnSA5cvN/TVqgJ/f7e/zmDQJgoOhZ0/45ZesiVtE0oqLM5OrS5fgscfg3XetjkhEJPtSsiUid8Qw4NtvzeIXd90FjRvD7NnmG7TSpWHgQDhwAL7/Hj7/3HzOjQmXzWZ+vfwyVKliPnfCBChf3hwZW7s2/cIaIuIchmGOaB08aH74MXcueHhYHZWISPalZEtEMuTXX2HIEChXDh58ED76CE6ehCJFICICtm2D33+HYcP+vcejdWtYuDDtIqjBweb+CRPghx9g3Tpo3txMwJYvh0aNzCTss8/gypUsv1SRXOeDD8xCGF5esGgRBARYHZGISPamz6tE5LZOnDA/4Z4zB3bu/Hd/3rzQsiV07GgmRp6eNz9H69bQogVs2JDIypV7aNy4OvXre+Dubh632cwpS489ZiZ0H39sjojt3w8vvmhWReve3RwFK17cqZcrkiutWwcDBpiPP/4YHnjA2nhERHICjWyJSLouXDArCYaHm8lNr15mouXuDo8/DrNmmUnYnDnQpMmtE60U7u5Qt65BnTpHqVvXsCdaN7rnHnPE7O+/zWpoJUvC6dMwfLj5+Jln4LvvMvVyRXK1v/6C9u0hOdmcRvjii1ZHJCKSMyjZEhG7hARYtsx801W0KHTpAmvWmG/AUqYMHjsGK1eaCU/+/M6Nx98f+vSB334zpzTVrm0W3ZgzB+6/Hx591JyGmJjo3DhEcrL4eGjb1lyqoWZNc1qvFi4WEckcmkYokssZhnmf1Zw5MH++OYKUolw5c4pghw5Qtqx1MXp4mNMQW7eGXbtg/HhzWuPWreZXiRLwyivwwgtQsKB1cYpkR6+9Zha7KVTI/FAjTx6rIxIRyTk0siWSS/30E7z1Ftx9tzlCFBlpJlpFi/47ZfDnn2HQIGsTrRvVqmVOb/zzT3j7bbMwx5Ej0LcvhISodLxIRkybBpMnmyNZUVFQqpTVEYmI5CxKtkRykaNH4cMPzbWvKleGESPg8GFzOmDnzrB6tXmf1NixcN99rj2VqFgxeOcd816TqVNVOl4ko77/Hnr0MB+/8455f6aIiGQuJVsiOdz582ZVv8ceM0d++vaFPXvMqXnNm5vT8U6cgBkzICws+62p4+MDzz+v0vEiGXH6tDktNz7e/J15802rIxIRyZmUbInkQPHxsGSJedN70aLmvUwbNpijPClTBmNj4auvoF07s4R7dpdSOv6rr8wFWV95BfLl+7d0fEiIOW3y6FGrIxWxVlKSeS/mn3+aU4RnzgQ3vRsQEXEKS/+8jhw5kvvvv58CBQoQGBhIy5YtOXjwYKo2sbGxdOrUiaCgIPLly0fNmjVZtGhRqjZnzpyhY8eO+Pr64u/vzwsvvMDFixdTtfnxxx+pXbs2Pj4+hISE8P777zv9+kSyUnIybNxoJhZBQean1osWmYlXpUrmlMFDh2DzZnO9qsKFrY7YeW5WOn7ECPOelI4dU68XJpKbDBliThnOk8dcwNjf3+qIRERyLkuTrZiYGCIiItixYwfR0dEkJCQQFhbGpUuX7G06d+7MwYMH+eqrr9i7dy+tW7fmqaeeYvfu3fY2HTt2ZP/+/URHR7Ns2TI2bdpEt27d7Mfj4uIICwujZMmS7Nq1iw8++IAhQ4YwZcqULL1ekcxmGOb0uX79zISifn1zyty5c3DXXfD667B7N+zbZy5Wmttufr9Z6fioKHPB1kcegQULVDpeco+vvoJ33zUff/aZOc1WREScyHAhJ0+eNAAjJibGvi9fvnzGzJkzU7UrVKiQ8emnnxqGYRg//fSTARg7d+60H1+5cqVhs9mMo0ePGoZhGBMnTjQKFixoxMfH29v079/fKF++vENxnT9/3gCM8+fP3/G1ZaZr164ZS5cuNa5du2Z1KGKRw4cNY8QIw6hc2TDMlMv88vMzjBdeMIz16w0jMdHqKNNndf/97jvD6NTJMDw9//2+lShhGB98YBhnzlgSkmQjVvff/+KXXwzD19fs86++anU0YoXs3H9FXKn/ZiQ3cKlb4c+fPw9AoUKF7Psefvhh5s2bR9OmTfH392f+/PlcvXqVevXqAbB9+3b8/f2577777M9p2LAhbm5ufPPNN7Rq1Yrt27dTp04dvLy87G3Cw8MZNWoUZ8+epeANC/PEx8cTHx9v346LiwMgISGBhISETL/ujEqJwRVikaxz5gwsWuTGF1/Y2LLl30FpLy+DJk0Mnn46mcaNDXx8zP3JyeaXq7G6/1atalYvfPddmDLFjSlT3DhyxEbfvjB4sEHnzslERCRTvrwl4YmLs7r/3qlLl6BVKw/i4mw8/HAyI0Ykkc0uQTJBdu2/IuBa/TcjMbhMspWcnEyvXr145JFHuPfee+3758+fT7t27ShcuDAeHh7kzZuXJUuWUPb/F/6JjY0lMDAw1bk8PDwoVKgQsbGx9jalS5dO1aZo0aL2YzcmWyNHjmTo0KFpYlyzZg15XaiSQHR0tNUhiJPFx7uxc2cQmzYF8/33RUlMNJMsm83g3nv/oU6dvwkNPUb+/OY8uPXrrYw2Y1yh/95/P1Sr5samTcF8/fXd/PmnH5MmuTNpkju1asXSvPkfVKt2yqVL4Is1XKH/OsowYOzYmuzfH0LBglfp2nUja9fG3/6JkmNlp/4rciNX6L+XL192uK3LJFsRERHs27ePLVu2pNr/9ttvc+7cOdauXUuRIkVYunQpTz31FJs3b6aKkyabDxgwgD59+ti34+LiCAkJISwsDF9fX6e8ZkYkJCQQHR1No0aN8PT0tDocyWRJSbBhg40vvnBj6VIbFy78+06/alVzBKtdu2SCg/0Bf+Dem5zJNbli/23Z0iyksXFjIh995MaKFTZ27Qpi164gKlUyeOWVJDp0MMiTx+pIxWqu2H9v55NP3Ni0yR0PD4NFizx49NEGVockFsmO/VckhSv135RZb45wiWSrZ8+e9sIWwcHB9v2///47n3zyCfv27aNy5coAVKtWjc2bNzNhwgQmTZpEUFAQJ0+eTHW+xMREzpw5Q1BQEABBQUGcOHEiVZuU7ZQ21/P29sbb2zvNfk9PT8t/uNdztXjkzhmGucDo7Nnmulf/PygLmIUvOnQwK+hVrmwD3P//K3tzxf4bFmZ+/fYbfPyxuT7ZTz/Z6NHDg4ED4aWX4OWXzeIjkru5Yv9Nz5YtZgEdgA8/tFG/vkv8ty8Wyy79VyQ9rtB/M/L6llYjNAyDnj17smTJEtavX59mql/KEJ3bDQuAuLu7k/z/N6OEhoZy7tw5du3aZT++fv16kpOTefDBB+1tNm3alGp+ZXR0NOXLl08zhVAkK/3+OwwbBhUrwn33wbhxZqJVqJBZnn3zZvjjD7Nk+f9/3iBZoGxZGD/eLB0/ZoxZxVGl4yW7OX4cnnzSrLbZvj28+qrVEYmI5D6WJlsRERHMnj2bqKgoChQoQGxsLLGxsVy5cgWAChUqULZsWV566SW+/fZbfv/9d0aPHk10dDQtW7YEoGLFijz++OO8+OKLfPvtt2zdupWePXvSvn17ihcvDkCHDh3w8vLihRdeYP/+/cybN4/x48enmiooklVOnYJPPoHQUPNN/aBB5iK8Pj7mAsNffWW+SYqMNBcg1mKj1vHzg969zZGuxYuhTh2VjpfsISEBnnrK/PDm3nvNMu+691BEJOtZ+jYuMjKS8+fPU69ePYoVK2b/mjdvHmAO0a1YsYKAgACaN29O1apVmTlzJjNmzKBJkyb288yZM4cKFSrQoEEDmjRpwqOPPppqDS0/Pz/WrFnDoUOHqFWrFv/73/8YNGhQqrW4RJzp0iWYMweaNIFixeCVV2DHDjORatQIpk+HEyfMKYTNm8N1hTPFBbi7Q6tWEBMDu3ZB587g6QnbtplvaO++Gz74AM6etTpSEVPfvuYUQl9f84OCfPmsjkhEJHeydPK2YRi3bXPPPfewaNGiW7YpVKgQUVFRt2xTtWpVNm/enKH4RP6LhASIjjaTrKVL4frCNffdZ05Fa9fOTL4k+6hZE2bMgPfeg0mTzBHIv/4y74sZMgSefdacrqXS8WKVL74wp8ECzJwJ99xjbTwiIrmZJiiJZCLDMEesXnnFLKLQtKk55ezyZShTxpwy+PPP5v0+vXop0crOihWDoUPhyBGzkEbVqubPeeJEqFDB/NlHR5t9QiSr7N0LXbuaj998E1q0sDYeEZHcTmWJRDLBwYPmCFZUlFn0IkVAgHljeseO5j0+umci5/HxgeeeM0e0Nm40i5x8/TWsWGF+VapkJtbPPINKx4tTnT8PrVubSX+jRvDOO1ZHJCIiSrZE7tDx4+Y9VnPmmPfxpMiXz1y3qWNHaNjQvLdHcj6bDerXN79Sl46Hbt1gwACVjhfnSU427yX87TcoUcL84Mc9+68QISKS7WkaoUgGxMWZxSwaNYLgYOjTx0y03N3N4hdz5piFLmbPhsaNlWjlViodL1ntvffMSqbe3rBoERQpYnVEIiICSrZEbuvaNfNNzFNPQdGi5pSxtWvNT5JDQ80y7sePw/Ll5uLDqvolKVQ6XrLCmjUwcKD5eMIEswCPiIi4Bk0jFElHcjJs3WqOVC1YAGfO/HusQgVzZKJDB7Pkt8jtpJSOb9UKvv/eHPX64guzdPy2bRASYhZV6doVtM66ZMThw/D002YhlhdfhBdesDoiERG5nka2RK6zb595b03p0uYoxOTJZqJVrJg5QrFrl3kPzsCBSrTkzqSUjj9yxKxOGRDwb+n44GCIiDALrojcztWr0Lat+Tfqvvvgo4+sjkhERG6kZEtyvb/+gvffh2rVoEoV896HI0egQAGzwlx0tNlmzBjzjbIqCkpmCApS6Xj5b3r2ND8AKlzYvE/Lx8fqiERE5EZKtiRXOnsWPv0U6tWDkiWhf3/48UezoEWLFjB/vlnoYto0s6KgqnqJs6SUjt+zB9avhyeeMBP6FSsgLAzuvdfsq9cvii3y6acwdSq4uZlVUUuUsDoiERFJj5ItyTWuXjU//W3d2hxV6NYNYmLMkYOUKYOxsbB0KTz5pNZEkqyVUjr+yy/hl1/g1Vchf/5/S8eHhJiL1B49anWkYrWdO81RLYDhw80PhERExDUp2ZIcLSnJHC144QUzwWrbFpYsMSsM3nsvjBxp3mAeE2O+oS1UyOqIRdIvHX/mjNlfU0rHf/ut1VGKFU6dgjZtzL9hLVuao/IiIuK6lGxJjmMYsHs3vP66ObWmQQPznpjz580CBP36wQ8/wN698MYb5jRCEVd0fen4JUugbt1/S8c/+KBKx+c2SUlm5cG//oJy5cw1/3QPqYiIa1Ppd8kxDh0y34TOmQMHDvy739/fnBbYsSPUrm3e4yCSnbi7m6MYLVvevHR8z55m6W+Vjs+5Bg6EdevMtfwWLzaTcRERcW162ynZ2j//QGQkPPqoWYp94EAz0fL2/nfKYGwsTJlijgoo0ZLs7mal4/v3N0duX34Zfv7Z6iglsy1ZYlZKBXOkvnJla+MRERHH6K2nZDuXL5vVt5o3N9e/evllcwFimw0ee8x8I3LihDm9qmVLM/ESyWluVjo+MhIqVoQmTWDNGpWOzwkOHoQuXczHffrAU09ZG4+IiDhOyZZkC4mJsHo1dO4MRYua9y0sW2bur1EDPvzQ/HR/3TqzjLam10hucX3p+A0bzKULbDZYuRLCw81CMFOmqHR8dnXxollB9cIFs2pqyuiWiIhkD7pnS1yWYZgljufMgXnzzNGqFCkV2Tp2ND/FF8ntbDZz3bh69eD33+Hjj811mH76CV56CQYMMP+NiIC77rI6WnGEYZiVVH/6CYoXN9f/8/S0OioREckIjWyJy/ntN3N6VPnyZsW1jz4yE63Chf+dMvjHH/Duu0q0RNJTpgyMG2eWjh87FkqXTl06vkMHlY7PDsaN+zfBWrDAHNUXEZHsRcmWuIQTJ8yk6sEH4Z57YMgQ+PVXc2Hh9u3NKYPHj8OECfDwwyp3LOIIPz/o1cv8Xbq+dPwXX5i/aw8/bL6ZV+l41xMTA337mo/HjjV/ViIikv1oGqFY5uJF8w3gnDmwdq25hgyYFQMbNTKnCLZsCQUKWBqmSLZ3fen43bv/LR2/fbv5pdLxruXoUbMIRlISPPOMOaIvIiLZk0a2JEslJJijVE8/DYGBZsGL1avNNxUPPGC+CTx2DFatgk6dlGiJZLYaNczFcP/8EwYPVul4V3Ptmrku4MmTZoXJyZM1ki8ikp0p2RKnMwxz4dWICLNUe/PmZun2K1f+nTL4yy/wzTfw6qu6L0EkKwQFmb97R47AtGkqHe8q/vc/c7TR399cuDhvXqsjEhGR/0LTCMVpDhwwpwhGRcGhQ//uDww0R7Y6doT77tOntiJW8vGBZ58113GKiTGLMnz1lVk6fuVKqFQJXnvNnM6mN/7ONXs2fPLJv4/LlLE2HhER+e+UbEmmOnbMvBdkzhzz3pAU+fNDq1ZmgtWgAXio54m4FJWOt9YPP0C3bubjQYOgaVNr4xERkcyhaYTyn50/D59/biZRwcHw+utmouXhAc2amcnXiRMwc6a5yKoSLRHXptLxWevsWXPh4itXoHFj8146ERHJGZRsyR2Jj4elS80buYsWNRfeXL/evL/jkUdg4kSzVPvXX5ul2zX9SCT7Uel450tONosB/fGHmdTOnm1WZBURkZxBYwzisORk2LzZnCK4YAGcO/fvsYoVzSmCHTqYbxhEJOdwtHR8165QqJDV0WYv774Ly5eb984tWqTvn4hITqPPz+S2fvzRLAtdqpR5P8enn5qJVvHiZuWs77+H/fvhrbeUaInkdDeWjg8M/Ld0fEiISsdnxMqVZkVIgEmTzO+tiIjkLEq2JF1HjsB770GVKlCtGrz/vvmGytcXnn8e1q0z23z4ofkGQRUFRXKXlNLxf/5plo6vVk2l4zPijz/M2QCGAT16mNUgRUQk51GyJXZnzsCUKVCnDpQsaVYf27cPvLzMSoILF5qFLqZOhcceM6cWiUjullI6fvdu2LABWrQwP3xZudIsiFO5svl35fJlqyN1HVeuQJs2ZmGMBx80i5CIiEjOpGQrl7tyxbz/qmVL85Pql14y78sC82b4KVMgNtZcXLNNG/ONlYjIjVJKxy9dahbUeO01KFDAXG/vpZfMKYZvvmlWOMzNUkay9uyBgADzQyxvb6ujEhERZ1GylQslJcHatfDcc2aC9dRT8OWXkJAAVavCqFHmFMGNG+HFF6FgQasjFpHs5Fal40uXzt2l4ydPhhkzzIqD8+aZy2WIiEjOpWQrlzAMs5BFnz7mJ8yNGpk3ucfFQYkS8MYbsHevubBmv35mGxGR/8LX9/al4+fNMz/oyQ127IBXXzUfjxoF9etbG4+IiDifSr/ncH/8AVFRZrn26yuEFSxojmh17Giui6V1XUTEWW5XOj442Cwd/+KLObf0+cmT0LatmVi2bWtWchURkZxPb7GzmaQkiImxsWnTXcTE2EhKStvm1CmYMMH81LhMGXj7bTPR8vExFyFeutS8D2vSJKhdW4mWiGSd9ErH//23OboeHGzez5TTSscnJkK7dnD0KFSoAJ9/rgquIiK5hd5mZyOLF5trXTVq5MGYMffRqJEHpUqZ+y9dMkewmjY117/q2dP8xNjNDRo2NEsznzgB8+eb1cK8vKy+GhHJzVJKxx85YiZf1aqZBXsmTTJLxzduDKtX54zS8W++ad4Dmz+/OZ2yQAGrIxIRkaxiabI1cuRI7r//fgoUKEBgYCAtW7bk4MGD9uOHDx/GZrOl+7VgwQJ7uyNHjtC0aVPy5s1LYGAgffv2JTExMdVrbdy4kZo1a+Lt7U3ZsmWZPn16Vl1mpli82Jx6cmMlr7//NqsEFi5sTglcscL8FLVWLRgzxjweHW2WZvb1tSR0EZGb8vY215javdtMSFq2NEd9Vq2Cxx83S8dPnpx9S8cvXAgffGA+nj7dHNkSEZHcw9JkKyYmhoiICHbs2EF0dDQJCQmEhYVx6dIlAEJCQjh+/Hiqr6FDh5I/f34aN24MQFJSEk2bNuXatWts27aNGTNmMH36dAYNGmR/nUOHDtG0aVPq16/Pnj176NWrF127dmX16tWWXHdGJSWZZZRv9QlvfLxZ5evtt81Sy999B717Q7FiWReniMidstnMAhpLlpgFNXr1+rd0fPfuZtGeAQOyV+n4AwfMqq8AffuaH4yJiEjuYjMM15mkcerUKQIDA4mJiaFOnTrptqlRowY1a9Zk6tSpAKxcuZJmzZpx7NgxihYtCsCkSZPo378/p06dwsvLi/79+7N8+XL27dtnP0/79u05d+4cq1atum1ccXFx+Pn5cf78eXwtGB7auNGxqlXr16u6lbi+hIQEVqxYQZMmTfD09LQ6HHFhcXHmFOiPPjKL/YBZbOPJJ81k7MEHsz4mR/vvhQvwwAPm/Wf168OaNeChklRiMf39lezMlfpvRnIDl/rTf/78eQAK3aQc1a5du9izZw8TJkyw79u+fTtVqlSxJ1oA4eHh9OjRg/3791OjRg22b99Ow4YNU50rPDycXr16pfs68fHxxMfH27fj4uIA84ecYEGN4r/+suHIj+rvvxNJSHCZ3FkkXSm/Q1b8Lkn2kicPvPyyuSjy8uU2Pv7YjZgYN+bOhblz4cEHk3nllWRatTLIqv93Hem/hgFdurjz889uBAcbzJqViGHknhL34rr091eyM1fqvxmJwWWSreTkZHr16sUjjzzCvffem26bqVOnUrFiRR5++GH7vtjY2FSJFmDfjo2NvWWbuLg4rly5Qp48eVIdGzlyJEOHDk3z+mvWrCFv3rwZv7j/6M8/CwOPOtBuBytWnHZ+QCKZIDo62uoQJBvx8DCnRrdo4cuyZWXYtOkuvvnGnW++caNw4Ss0bfoHjRr9SYECWfOf8K3675IlZVmypDIeHsm8+uoWvvvubJbEJOIo/f2V7MwV+u/lDNxI7DLJVkREBPv27WPLli3pHr9y5QpRUVG8/fbbTo9lwIAB9OnTx74dFxdHSEgIYWFhlkwjDA+HSZMMjh0Dw0hbL9hmM7jrLnj99Qdxd8/y8EQyJCEhgejoaBo1amT5NADJnnr2hBMnkpkyBSZPduPkyTzMnFmZBQsq0alTMhERyVSs6JzXvl3/3bDBxqxZ5h/iceMMunULdU4gIndAf38lO3Ol/psy680RLpFs9ezZk2XLlrFp0yaCg4PTbbNw4UIuX75M586dU+0PCgri22+/TbXvxIkT9mMp/6bsu76Nr69vmlEtAG9vb7y9vdPs9/T0tOSH6+lp3rPQtq15E/n1d9mZa7XYGD8efHz0h1OyD6t+nyRnCA6Gd96Bt94ypxSOGwd79tiYMsWdKVPcefxx876usDDnrGmVXv/96y945hlITjYrwL78sjs2mz4BE9ejv7+SnblC/83I61tajdAwDHr27MmSJUtYv349pUuXvmnbqVOn8sQTTxAQEJBqf2hoKHv37uXkyZP2fdHR0fj6+lKpUiV7m3Xr1qV6XnR0NKGh2ecTx9atzRLCd92Ven9wsLm/dWtr4hIRsVJK6fjvv7e2dHx8vFm449Qpc+HmiRO1cLGIiFicbEVERDB79myioqIoUKAAsbGxxMbGcuXKlVTtfvvtNzZt2kTXrl3TnCMsLIxKlSrRqVMnfvjhB1avXs3AgQOJiIiwj051796dP/74g379+vHzzz8zceJE5s+fT+/evbPkOjNL69Zw+DBERyfSp893REcncuiQEi0RketLx//2W9aXju/VC775BgoWhEWLzOIeIiIiliZbkZGRnD9/nnr16lGsWDH717x581K1+/zzzwkODiYsLCzNOdzd3Vm2bBnu7u6EhobyzDPP0LlzZ9555x17m9KlS7N8+XKio6OpVq0ao0eP5rPPPiM8PNzp15jZ3N2hbl2DOnWOUreuoXu0RERucPfdMHasmViNG2dunzkD770HpUrB00+biVFmmT4dJk0yE76oKHPNQxEREbD4ni1Hl/gaMWIEI0aMuOnxkiVLsmLFilueo169euzevTtD8YmISPbl62suCN+zJyxbZiZeGzdiLx3/0EPmiFTr1txx6fjdu6FHD/Px0KHm1EUREZEUlo5siYiIOJu7O7RoARs2mMnRs8+Clxfs2AHt25sjX6NGmaNfGXHmjJmoXb0KzZqZxTpERESup2RLRERyjerVYdo0OHIEhgyBwEBzuuEbb5gFh3r0MO/zSk9SEsTE2Ni06S42bLDRoYN5H22ZMjBrFrjpf1QREbmB/msQEZFcp2hRGDzYTLqmTzeTsCtXzHuvKlWCxo1h9ep/l9pYvNi836tRIw/GjLmP8HAPVq82R8gWLwZ/f+uuRUREXJeSLRERybUcKR3fvbu5zmF6lQyvXTOrH4qIiKRHyZaIiOR6tyodP3ly6sXkb3xer17mFEMREZEbKdkSERG5zvWl4yMibt3WMOCvv2Dz5qyJTUREshclWyIiIunw9YVHHnGs7fHjzo1FRESyJyVbIiIiN1GsWOa2ExGR3EXJloiIyE3Urm2WhLfZ0j9us0FIiNlORETkRkq2REREbsLdHcaPNx/fmHClbI8bZ7YTERG5kZItERGRW2jdGhYuhLvuSr0/ONjc37q1NXGJiIjr87A6ABEREVfXujW0aAEbNiSycuUeGjeuTv36HhrREhGRW1KyJSIi4gB3d6hb1+DSpaPUrVtNiZaIiNyWphGKiIiIiIg4gZItERERERERJ1CyJSIiIiIi4gRKtkRERERERJxAyZaIiIiIiIgTKNkSERERERFxAiVbIiIiIiIiTqBkS0RERERExAmUbImIiIiIiDiBki0REREREREn8LA6gOzAMAwA4uLiLI7ElJCQwOXLl4mLi8PT09PqcEQyRP1XsjP1X8nO1H8lO3Ol/puSE6TkCLeiZMsBFy5cACAkJMTiSERERERExBVcuHABPz+/W7axGY6kZLlccnIyx44do0CBAthsNqvDIS4ujpCQEP766y98fX2tDkckQ9R/JTtT/5XsTP1XsjNX6r+GYXDhwgWKFy+Om9ut78rSyJYD3NzcCA4OtjqMNHx9fS3vbCJ3Sv1XsjP1X8nO1H8lO3OV/nu7Ea0UKpAhIiIiIiLiBEq2REREREREnEDJVjbk7e3N4MGD8fb2tjoUkQxT/5XsTP1XsjP1X8nOsmv/VYEMERERERERJ9DIloiIiIiIiBMo2RIREREREXECJVsiIiIiIiJOoGRLRERERETECZRsWWDkyJHcf//9FChQgMDAQFq2bMnBgwdTtbl69SoREREULlyY/Pnz06ZNG06cOJGqzauvvkqtWrXw9vamevXq6b7W6tWreeihhyhQoAABAQG0adOGw4cPO+nKJDfIyv47f/58qlevTt68eSlZsiQffPCBsy5LconM6L8//PADTz/9NCEhIeTJk4eKFSsyfvz4NK+1ceNGatasibe3N2XLlmX69OnOvjzJ4bKq/x4/fpwOHTpQrlw53Nzc6NWrV1ZcnuQCWdWHFy9eTKNGjQgICMDX15fQ0FBWr16dJdd4IyVbFoiJiSEiIoIdO3YQHR1NQkICYWFhXLp0yd6md+/efP311yxYsICYmBiOHTtG69at05zr+eefp127dum+zqFDh2jRogWPPfYYe/bsYfXq1fzzzz/pnkfEUVnVf1euXEnHjh3p3r07+/btY+LEiYwdO5ZPPvnEadcmOV9m9N9du3YRGBjI7Nmz2b9/P2+99RYDBgxI1TcPHTpE06ZNqV+/Pnv27KFXr1507drVsv/sJWfIqv4bHx9PQEAAAwcOpFq1all6jZKzZVUf3rRpE40aNWLFihXs2rWL+vXr07x5c3bv3p2l1wuAIZY7efKkARgxMTGGYRjGuXPnDE9PT2PBggX2NgcOHDAAY/v27WmeP3jwYKNatWpp9i9YsMDw8PAwkpKS7Pu++uorw2azGdeuXcv8C5FcyVn99+mnnzbatm2bat9HH31kBAcHG8nJyZl7EZJr/df+m+Lll1826tevb9/u16+fUbly5VRt2rVrZ4SHh2fyFUhu5qz+e726desar732WqbGLZIiK/pwikqVKhlDhw7NnMAzQCNbLuD8+fMAFCpUCDAz9oSEBBo2bGhvU6FCBUqUKMH27dsdPm+tWrVwc3Nj2rRpJCUlcf78eWbNmkXDhg3x9PTM3IuQXMtZ/Tc+Ph4fH59U+/LkycPff//Nn3/+mQmRi2Re/z1//rz9HADbt29PdQ6A8PDwDP0OiNyOs/qvSFbJqj6cnJzMhQsXLOnnSrYslpycTK9evXjkkUe49957AYiNjcXLywt/f/9UbYsWLUpsbKzD5y5dujRr1qzhzTffxNvbG39/f/7++2/mz5+fmZcguZgz+294eDiLFy9m3bp1JCcn88svvzB69GjAvJ9A5L/KrP67bds25s2bR7du3ez7YmNjKVq0aJpzxMXFceXKlcy9EMmVnNl/RbJCVvbhDz/8kIsXL/LUU09lWvyOUrJlsYiICPbt28fcuXMz/dyxsbG8+OKLdOnShZ07dxITE4OXlxdt27bFMIxMfz3JfZzZf1988UV69uxJs2bN8PLy4qGHHqJ9+/YAuLnpT5f8d5nRf/ft20eLFi0YPHgwYWFhmRidyK2p/0p2l1V9OCoqiqFDhzJ//nwCAwPv+LXulN6xWKhnz54sW7aMDRs2EBwcbN8fFBTEtWvXOHfuXKr2J06cICgoyOHzT5gwAT8/P95//31q1KhBnTp1mD17NuvWreObb77JrMuQXMrZ/ddmszFq1CguXrzIn3/+SWxsLA888AAAd999d6Zcg+RemdF/f/rpJxo0aEC3bt0YOHBgqmNBQUFpKnCeOHECX19f8uTJk7kXI7mOs/uviLNlVR+eO3cuXbt2Zf78+WmmdmcVJVsWMAyDnj17smTJEtavX0/p0qVTHa9Vqxaenp6sW7fOvu/gwYMcOXKE0NBQh1/n8uXLaUYA3N3dAXPoVuROZFX/TeHu7s5dd92Fl5cXX3zxBaGhoQQEBPzn65DcKbP67/79+6lfvz5dunRh+PDhaV4nNDQ01TkAoqOj7+h3QCRFVvVfEWfJyj78xRdf8Nxzz/HFF1/QtGlT51yQI7K8JIcYPXr0MPz8/IyNGzcax48ft39dvnzZ3qZ79+5GiRIljPXr1xvfffedERoaaoSGhqY6z6+//mrs3r3beOmll4xy5coZu3fvNnbv3m3Ex8cbhmEY69atM2w2mzF06FDjl19+MXbt2mWEh4cbJUuWTPVaIhmRVf331KlTRmRkpHHgwAFj9+7dxquvvmr4+PgY33zzTZZer+QsmdF/9+7dawQEBBjPPPNMqnOcPHnS3uaPP/4w8ubNa/Tt29c4cOCAMWHCBMPd3d1YtWpVll6v5CxZ1X8Nw7D/Ta5Vq5bRoUMHY/fu3cb+/fuz7FolZ8qqPjxnzhzDw8PDmDBhQqo2586dy9LrNQzDULJlASDdr2nTptnbXLlyxXj55ZeNggULGnnz5jVatWplHD9+PNV56tatm+55Dh06ZG/zxRdfGDVq1DDy5ctnBAQEGE888YRx4MCBLLpSyYmyqv+eOnXKeOihh4x8+fIZefPmNRo0aGDs2LEjC69UcqLM6L+DBw9O9xwlS5ZM9VobNmwwqlevbnh5eRl33313qtcQuRNZ2X8daSOSUVnVh2/2HqNLly5Zd7H/z2YYqpQgIiIiIiKS2XTPloiIiIiIiBMo2RIREREREXECJVsiIiIiIiJOoGRLRERERETECZRsiYiIiIiIOIGSLRERERERESdQsiUiIiIiIuIESrZEREREREScQMmWiIiIiIiIEyjZEhGRXMcwDBo2bEh4eHiaYxMnTsTf35+///7bgshERCQnUbIlIiK5js1mY9q0aXzzzTdMnjzZvv/QoUP069ePjz/+mODg4Ex9zYSEhEw9n4iIuD4lWyIikiuFhIQwfvx4Xn/9dQ4dOoRhGLzwwguEhYVRo0YNGjduTP78+SlatCidOnXin3/+sT931apVPProo/j7+1O4cGGaNWvG77//bj9++PBhbDYb8+bNo27duvj4+DBnzhwrLlNERCxkMwzDsDoIERERq7Rs2ZLz58/TunVrhg0bxv79+6lcuTJdu3alc+fOXLlyhf79+5OYmMj69esBWLRoETabjapVq3Lx4kUGDRrE4cOH2bNnD25ubhw+fJjSpUtTqlQpRo8eTY0aNfDx8aFYsWIWX62IiGQlJVsiIpKrnTx5ksqVK3PmzBkWLVrEvn372Lx5M6tXr7a3+fvvvwkJCeHgwYOUK1cuzTn++ecfAgIC2Lt3L/fee6892Ro3bhyvvfZaVl6OiIi4EE0jFBGRXC0wMJCXXnqJihUr0rJlS3744Qc2bNhA/vz57V8VKlQAsE8V/PXXX3n66ae5++678fX1pVSpUgAcOXIk1bnvu+++LL0WERFxLR5WByAiImI1Dw8PPDzM/xIvXrxI8+bNGTVqVJp2KdMAmzdvTsmSJfn0008pXrw4ycnJ3HvvvVy7di1V+3z58jk/eBERcVlKtkRERK5Ts2ZNFi1aRKlSpewJ2PVOnz7NwYMH+fTTT6lduzYAW7ZsyeowRUQkG9A0QhERketERERw5swZnn76aXbu3Mnvv//O6tWree6550hKSqJgwYIULlyYKVOm8Ntvv7F+/Xr69OljddgiIuKClGyJiIhcp3jx4mzdupWkpCTCwsKoUqUKvXr1wt/fHzc3N9zc3Jg7dy67du3i3nvvpXfv3nzwwQdWhy0iIi5I1QhFREREREScQCNbIiIiIiIiTqBkS0RERERExAmUbImIiIiIiDiBki0REREREREnULIlIiIiIiLiBEq2REREREREnEDJloiIiIiIiBMo2RIREREREXECJVsiIiIiIiJOoGRLRERERETECZRsiYiIiIiIOMH/AdNh4ljfBcqOAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Coder': {'messages': [HumanMessage(content=\"The line graph of India's GDP over the past 5 years has been generated using matplotlib, but as a text-based AI, I'm unable to display images directly. The code for plotting the graph is complete, and running it in a Python environment will display the graph. If you run this code in your local environment, you will see the graph showing the GDP trend for India from 2018 to 2022.\\n\\nPlease let me know if there is anything else I can assist you with!\", name='Coder')]}}\n",
      "----\n",
      "{'supervisor': {'next': 'FINISH'}}\n",
      "----\n"
     ]
    }
   ],
   "source": [
    "for s in graph.stream(\n",
    "    {\n",
    "        \"messages\": [\n",
    "            HumanMessage(content=\"Fetch the India's GDP over the past 5 years,\"\n",
    "                \" then draw a line graph of it.\"\n",
    "                \" Once you code it up, finish.\")\n",
    "        ]\n",
    "    }\n",
    "):\n",
    "    if \"__end__\" not in s:\n",
    "        print(s)\n",
    "        print(\"----\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Supervisor --> RAG -> Data ->> Python --> Run --> Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'supervisor': {'next': 'RAG'}}\n",
      "----\n",
      "-> Calling RAG ->\n",
      "Question: Japan's GDP over the past 4 years\n",
      "{'RAG': {'messages': [HumanMessage(content=\"I have fetched the GDP data for Japan over the past 4 years:\\n\\n- 2019: $5,117.99 billion\\n- 2020: $5,055.59 billion\\n- 2021: $5,034.62 billion\\n- 2022: $4,256.41 billion\\n\\nI will now proceed to draw a line graph of this data. Once I've coded it, I will finish the task.\", name='RAG')]}}\n",
      "----\n",
      "{'supervisor': {'next': 'Coder'}}\n",
      "----\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Coder': {'messages': [HumanMessage(content=\"I have generated the code to draw a line graph for Japan's GDP over the past 4 years. However, since I cannot display images directly, I have finished the task as requested. If you want to execute the code on your local machine, here it is:\\n\\n```python\\nimport matplotlib.pyplot as plt\\n\\n# Japan's GDP data for the past 4 years\\nyears = ['2019', '2020', '2021', '2022']\\ngdp_values = [5117.99, 5055.59, 5034.62, 4256.41]  # in billions\\n\\n# Plotting the line graph\\nplt.figure(figsize=(10, 5))\\nplt.plot(years, gdp_values, marker='o')\\nplt.title('Japan GDP Over the Past 4 Years')\\nplt.xlabel('Year')\\nplt.ylabel('GDP in Billion USD')\\nplt.grid(True)\\nplt.show()\\n```\\n\\nBy running this code in a Python environment with matplotlib installed, you will be able to see the line graph visualizing Japan's GDP from 2019 to 2022.\", name='Coder')]}}\n",
      "----\n",
      "{'supervisor': {'next': 'FINISH'}}\n",
      "----\n"
     ]
    }
   ],
   "source": [
    "for s in graph.stream(\n",
    "    {\n",
    "        \"messages\": [\n",
    "            HumanMessage(content=\"Fetch the Japans's GDP over the past 4 years from RAG,\"\n",
    "                \" then draw a line graph of it.\"\n",
    "                \" Once you code it up, finish.\")\n",
    "        ]\n",
    "    }\n",
    "):\n",
    "    if \"__end__\" not in s:\n",
    "        print(s)\n",
    "        print(\"----\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "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": "3.10.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}