{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2dff78c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ MiniMax 模型初始化完成\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from langchain_openai import ChatOpenAI\n",
    "from dotenv import load_dotenv\n",
    "\n",
    "load_dotenv()\n",
    "\n",
    "# 创建 MniMax 聊天模型实例\n",
    "# base_url 指向 MniMax 的兼容端点，⽽⾮ OpenAI 官方地址\n",
    "llm = ChatOpenAI(\n",
    "    model_name=\"MiniMax-M3\",  # MINIMAX-M3 模型 的对话模型\n",
    "    api_key=os.getenv(\"MINIMAX_API_KEY\"),  # 获取 MINIMAX_API_KEY 密钥，在 https://api.minimaxi.com/v1 获取\n",
    "    base_url=os.getenv(\"MINIMAX_API_URL\"),  # MINIMAX API 地址\n",
    "    extra_body={\n",
    "        \"thinking\": {\"type\": \"disabled\"}\n",
    "    },  # 关闭模型的思考模式，减少模型的思考时间\n",
    ")\n",
    "print(\"✅ MiniMax 模型初始化完成\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "078a0bf4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ 数据库初始化完成\n",
      "   - employees 表：5 条员工记录\n",
      "   - products  表：4 条产品记录\n",
      "   - orders    表：5 条订单记录\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import mysql.connector\n",
    "\n",
    "from dotenv import load_dotenv\n",
    "\n",
    "load_dotenv()\n",
    "\n",
    "# ============================================================\n",
    "# 第一步：建立数据库连接\n",
    "# ============================================================\n",
    "# 使用环境变量管理敏感信息，这是生产级代码的基本规范\n",
    "conn = mysql.connector.connect(\n",
    "    host=os.getenv(\"DB_HOST\"),\n",
    "    port=int(os.getenv(\"DB_PORT\")),\n",
    "    user=os.getenv(\"DB_USER\"),\n",
    "    password=os.getenv(\"DB_PASSWORD\"),\n",
    "    database=os.getenv(\"DB_NAME\"),\n",
    ")\n",
    "cursor = conn.cursor()\n",
    "\n",
    "# ============================================================\n",
    "# 第二步：创建表结构\n",
    "# ============================================================\n",
    "\n",
    "# 员工表：存储公司内部人员信息\n",
    "# 用于分析：部门人数分布、薪资结构、入职趋势等\n",
    "cursor.execute(\"\"\"\n",
    "CREATE TABLE IF NOT EXISTS employees (\n",
    "    id          INT PRIMARY KEY AUTO_INCREMENT,  -- 自增主键\n",
    "    name        VARCHAR(50)  NOT NULL,           -- 姓名\n",
    "    department  VARCHAR(50)  NOT NULL,           -- 所属部门\n",
    "    salary      DECIMAL(10,2) NOT NULL,          -- 月薪（精确到分）\n",
    "    hire_date   DATE                             -- 入职日期\n",
    ") ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;\n",
    "\"\"\")\n",
    "\n",
    "# 产品表：存储在售商品信息\n",
    "# 用于分析：品类销售、价格分布、库存预警等\n",
    "cursor.execute(\"\"\"\n",
    "CREATE TABLE IF NOT EXISTS products (\n",
    "    id           INT PRIMARY KEY AUTO_INCREMENT,  -- 自增主键\n",
    "    product_name VARCHAR(100) NOT NULL,           -- 商品名称\n",
    "    category     VARCHAR(50)  NOT NULL,           -- 商品分类\n",
    "    price        DECIMAL(10,2) NOT NULL,          -- 单价\n",
    "    stock        INT DEFAULT 0                    -- 当前库存量\n",
    ") ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;\n",
    "\"\"\")\n",
    "\n",
    "# 订单表：记录每笔交易\n",
    "# 用于分析：销售趋势、员工绩效、产品热度等\n",
    "cursor.execute(\"\"\"\n",
    "CREATE TABLE IF NOT EXISTS orders (\n",
    "    id           INT PRIMARY KEY AUTO_INCREMENT,  -- 自增主键\n",
    "    employee_id  INT NOT NULL,                    -- 下单员工（外键）\n",
    "    product_id   INT NOT NULL,                    -- 购买商品（外键）\n",
    "    quantity     INT NOT NULL,                    -- 购买数量\n",
    "    order_date   DATE NOT NULL,                   -- 下单日期\n",
    "    FOREIGN KEY (employee_id) REFERENCES employees(id),   -- 关联员工表\n",
    "    FOREIGN KEY (product_id)  REFERENCES products(id)     -- 关联产品表\n",
    ") ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;\n",
    "\"\"\")\n",
    "\n",
    "# ============================================================\n",
    "# 第三步：插入演示数据\n",
    "# ============================================================\n",
    "\n",
    "# 员工数据：5 个员工，分属 3 个部门\n",
    "employees_data = [\n",
    "    (1, \"张三\", \"技术部\", 20000.00, \"2023-01-15\"),\n",
    "    (2, \"李四\", \"销售部\", 11000.00, \"2023-02-20\"),\n",
    "    (3, \"王五\", \"技术部\", 16000.00, \"2022-11-10\"),\n",
    "    (4, \"赵六\", \"人力资源\", 5000.00, \"2023-03-01\"),\n",
    "    (5, \"钱七\", \"销售部\", 17000.00, \"2022-12-05\"),\n",
    "]\n",
    "\n",
    "# 产品数据：4 款商品，覆盖 2 个品类\n",
    "products_data = [\n",
    "    (1, \"笔记本电脑\", \"电子产品\", 6999.00, 500),\n",
    "    (2, \"机械键盘\", \"电子产品\", 399.00, 1000),\n",
    "    (3, \"办公椅\", \"办公用品\", 499.00, 300),\n",
    "    (4, \"显示器\", \"电子产品\", 1200.00, 400),\n",
    "]\n",
    "\n",
    "# 订单数据：5 笔订单，模拟真实购买行为\n",
    "orders_data = [\n",
    "    (1, 1, 1, 2, \"2024-01-15\"),  # 张三买了 2 台笔记本\n",
    "    (2, 2, 2, 15, \"2024-01-16\"),  # 李四买了 15 个键盘\n",
    "    (3, 3, 1, 10, \"2024-01-17\"),  # 王五买了 10 台笔记本\n",
    "    (4, 5, 3, 6, \"2024-01-18\"),  # 钱七买了 6 把办公椅\n",
    "    (5, 2, 4, 5, \"2024-01-19\"),  # 李四买了 5 台显示器\n",
    "]\n",
    "\n",
    "# executemany 批量插入，比逐条 insert 高效得多\n",
    "cursor.executemany(\n",
    "    \"INSERT IGNORE INTO employees VALUES (%s,%s,%s,%s,%s)\", employees_data\n",
    ")\n",
    "cursor.executemany(\n",
    "    \"INSERT IGNORE INTO products  VALUES (%s,%s,%s,%s,%s)\", products_data\n",
    ")\n",
    "cursor.executemany(\"INSERT IGNORE INTO orders     VALUES (%s,%s,%s,%s,%s)\", orders_data)\n",
    "\n",
    "conn.commit()\n",
    "conn.close()\n",
    "\n",
    "print(\"✅ 数据库初始化完成\")\n",
    "print(\"   - employees 表：5 条员工记录\")\n",
    "print(\"   - products  表：4 条产品记录\")\n",
    "print(\"   - orders    表：5 条订单记录\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fb70ef99",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/ck/3vc_dryn4s1bn553ss9cxy3m0000gn/T/ipykernel_90097/3153696295.py:2: DeprecationWarning: `langchain-community` is being sunset and is no longer actively maintained. See https://github.com/langchain-ai/langchain-community/issues/674 for details and migration guidance toward standalone integration packages.\n",
      "  from langchain_community.utilities import SQLDatabase\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据库连接成功\n",
      "   可用表：['employees', 'orders', 'products']\n",
      "\n",
      "SQL 工具包已加载（4 个工具）：\n",
      "   - sql_db_query\n",
      "   - sql_db_schema\n",
      "   - sql_db_list_tables\n",
      "   - sql_db_query_checker\n",
      "\n",
      "NL2SQL Agent 创建完成，可以开始提问了！\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from langchain_community.utilities import SQLDatabase\n",
    "from langchain_community.agent_toolkits import SQLDatabaseToolkit\n",
    "from langchain.agents import create_agent  # langchain 1.3.1 的新 API\n",
    "\n",
    "# ============================================================\n",
    "# 第一步：连接数据库\n",
    "# ============================================================\n",
    "# SQLDatabase.from_uri 接受标准的数据库连接 URI\n",
    "# LangChain 内部会用 SQLAlchemy 管理连接池\n",
    "db_uri = (\n",
    "    f\"mysql+pymysql://{os.getenv('DB_USER')}:{os.getenv('DB_PASSWORD')}\"\n",
    "    f\"@{os.getenv('DB_HOST')}:{os.getenv('DB_PORT')}/{os.getenv('DB_NAME')}\"\n",
    ")\n",
    "db = SQLDatabase.from_uri(db_uri)\n",
    "\n",
    "# 验证连接：打印可用的表名\n",
    "print(f\"数据库连接成功\")\n",
    "print(f\"   可用表：{db.get_usable_table_names()}\")\n",
    "\n",
    "# ============================================================\n",
    "# 第三步：创建 SQL 工具包\n",
    "# ============================================================\n",
    "# SQLDatabaseToolkit 会自动注册 4 个工具：\n",
    "#   1. sql_db_list_tables    — 列出数据库中所有表\n",
    "#   2. sql_db_schema         — 获取指定表的 DDL 结构\n",
    "#   3. sql_db_query_checker  — 检查 SQL 语法是否正确\n",
    "#   4. sql_db_query          — 执行 SQL 并返回结果\n",
    "toolkit = SQLDatabaseToolkit(db=db, llm=llm)\n",
    "tools = toolkit.get_tools()\n",
    "\n",
    "print(f\"\\nSQL 工具包已加载（{len(tools)} 个工具）：\")\n",
    "for t in tools:\n",
    "    print(f\"   - {t.name}\")\n",
    "\n",
    "# ============================================================\n",
    "# 第四步：定义 System Prompt（Agent 的\"岗位说明书\"）\n",
    "# ============================================================\n",
    "SQL_AGENT_PROMPT = \"\"\"你是一名专业的 SQL 数据分析师。\n",
    "\n",
    "## 工作流程\n",
    "1. 先用 sql_db_list_tables 查看数据库中有哪些表\n",
    "2. 用 sql_db_schema 获取相关表的字段结构和类型\n",
    "3. 生成 SQL 之前，用 sql_db_query_checker 检查语法\n",
    "4. 确认无误后，用 sql_db_query 执行查询\n",
    "5. 用中文总结查询结果，给出简洁的业务洞察\n",
    "\n",
    "## 约束\n",
    "- 只使用数据库中实际存在的表和字段，不要凭空编造\n",
    "- 单次查询结果限制在 50 条以内\n",
    "- 如果查询出错，分析错误原因后重新生成 SQL\n",
    "- 回答要简洁专业，不要啰嗦\n",
    "\"\"\"\n",
    "\n",
    "# ============================================================\n",
    "# 第五步：组装 Agent（langchain 1.3.1 一行搞定）\n",
    "# ============================================================\n",
    "# create_agent 返回一个可直接调用的 Runnable，无需再套 AgentExecutor\n",
    "# 它内部自动处理工具调用、循环迭代、错误重试等逻辑\n",
    "sql_agent = create_agent(\n",
    "    model=llm,\n",
    "    tools=tools,\n",
    "    system_prompt=SQL_AGENT_PROMPT,\n",
    ")\n",
    "\n",
    "print(\"\\nNL2SQL Agent 创建完成，可以开始提问了！\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bce52660",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "回答：## 查询结果\n",
      "\n",
      "公司目前共有 **5 名员工**。\n",
      "\n",
      "如果需要进一步了解员工分布情况（如各部门人数、薪资统计等），可以告诉我。\n"
     ]
    }
   ],
   "source": [
    "# 简单问题：Agent 只需一条 COUNT SQL 就能搞定\n",
    "# create_agent 的 invoke 接口使用 messages 格式\n",
    "response = sql_agent.invoke({\n",
    "    \"messages\": [{\"role\": \"user\", \"content\": \"公司一共有多少名员工？\"}]\n",
    "})\n",
    "\n",
    "# 最终回答在最后一条消息里\n",
    "final_msg = response[\"messages\"][-1]\n",
    "print(f\"回答：{final_msg.content}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bb3578ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "回答：## 查询结果\n",
      "\n",
      "技术部员工薪资排名（从高到低）：\n",
      "\n",
      "| 姓名 | 薪资 |\n",
      "|------|------|\n",
      "| 张三 | 20,000.00 |\n",
      "| 王五 | 16,000.00 |\n",
      "\n",
      "## 业务洞察\n",
      "\n",
      "- 技术部目前共有 **2 名员工**，部门规模较小\n",
      "- 薪资区间在 **16,000 ~ 20,000** 元之间，平均薪资 **18,000** 元\n",
      "- 两人薪资相差 **4,000** 元，张三薪资高出约 25%，可能与其入职时间较新（2023-01-15）或职级更高有关\n",
      "- 如需了解整体薪酬竞争力，建议对比其他部门薪资水平\n"
     ]
    }
   ],
   "source": [
    "# 中等难度：需要 JOIN + WHERE + GROUP BY\n",
    "response = sql_agent.invoke({\n",
    "    \"messages\": [{\"role\": \"user\", \"content\": \"列出技术部所有员工的姓名和薪资，按薪资从高到低排序\"}]\n",
    "})\n",
    "final_msg = response[\"messages\"][-1]\n",
    "print(f\"回答：{final_msg.content}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bf562080",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "回答：## 查询结果\n",
      "\n",
      "| 指标 | 数值 |\n",
      "|------|------|\n",
      "| 订单总数 | 3 笔 |\n",
      "| 订单总金额 | ¥14,979.00 |\n",
      "\n",
      "**业务洞察：**\n",
      "- 销售部目前只有 **李四** 一名员工，他下了 3 笔订单\n",
      "- 主要采购了笔记本电脑和机械键盘（15把），其中机械键盘订单金额为 ¥5,985（15 × 399），是销售部采购金额最大的品类\n",
      "- 销售部的订单总金额接近 1.5 万，建议关注后续采购频次和品类分布，便于评估业务需求\n"
     ]
    }
   ],
   "source": [
    "# 高难度：需要 JOIN 三张表 + 聚合计算\n",
    "response = sql_agent.invoke({\n",
    "    \"messages\": [{\"role\": \"user\", \"content\": \"销售部的员工总共下了多少订单？订单总金额是多少？\"}]\n",
    "})\n",
    "final_msg = response[\"messages\"][-1]\n",
    "print(f\"回答：{final_msg.content}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4ef69754",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "最终回答：每个部门各有多少人？\n",
      "\n",
      "步骤 2 [AIMessage]：\n",
      "  调用工具：sql_db_list_tables\n",
      "  参数：{}\n",
      "  工具返回：employees, orders, products\n",
      "\n",
      "步骤 4 [AIMessage]：\n",
      "  调用工具：sql_db_schema\n",
      "  参数：{'table_names': 'employees'}\n",
      "  工具返回：\n",
      "CREATE TABLE employees (\n",
      "\tid INTEGER NOT NULL AUTO_INCREMENT, \n",
      "\tname VARCHAR(50) NOT NULL, \n",
      "\tdepartment VARCHAR(50) NOT NULL, \n",
      "\tsalary DECIMAL(10, 2) NOT NULL, \n",
      "\thire_date DATE, \n",
      "\tPRIMARY KEY (id)\n",
      ")C\n",
      "\n",
      "步骤 6 [AIMessage]：\n",
      "  调用工具：sql_db_query_checker\n",
      "  参数：{'query': 'SELECT department, COUNT(*) AS employee_count FROM employees GROUP BY department ORDER BY employee_count DESC;'}\n",
      "  工具返回：SELECT department, COUNT(*) AS employee_count FROM employees GROUP BY department ORDER BY employee_count DESC;\n",
      "\n",
      "步骤 8 [AIMessage]：\n",
      "  调用工具：sql_db_query\n",
      "  参数：{'query': 'SELECT department, COUNT(*) AS employee_count FROM employees GROUP BY department ORDER BY employee_count DESC;'}\n",
      "  工具返回：[('技术部', 2), ('销售部', 2), ('人力资源', 1)]\n",
      "\n",
      "最终回答：## 查询结果\n",
      "\n",
      "| 部门 | 人数 |\n",
      "|------|------|\n",
      "| 技术部 | 2 |\n",
      "| 销售部 | 2 |\n",
      "| 人力资源 | 1 |\n",
      "\n",
      "**业务洞察：**\n",
      "- 公司共 **5 名员工**，分布在 3 个部门\n",
      "- **技术部和销售部** 各有 2 人，是人员最多的两个部门（并列）\n",
      "- **人力资源** 仅有 1 人，人员配置相对精简\n"
     ]
    }
   ],
   "source": [
    "# 遍历所有消息，还原 Agent 的完整推理链\n",
    "response = sql_agent.invoke({\n",
    "    \"messages\": [{\"role\": \"user\", \"content\": \"每个部门各有多少人？\"}]\n",
    "})\n",
    "\n",
    "for i, msg in enumerate(response[\"messages\"]):\n",
    "    msg_type = msg.__class__.__name__\n",
    "\n",
    "    # AIMessage 中如果有 tool_calls，说明 Agent 调用了工具\n",
    "    if hasattr(msg, \"tool_calls\") and msg.tool_calls:\n",
    "        print(f\"\\n步骤 {i+1} [{msg_type}]：\")\n",
    "        for tc in msg.tool_calls:\n",
    "            print(f\"  调用工具：{tc['name']}\")\n",
    "            print(f\"  参数：{tc.get('args', {})}\")\n",
    "\n",
    "    # ToolMessage 是工具返回的结果\n",
    "    elif msg_type == \"ToolMessage\":\n",
    "        print(f\"  工具返回：{msg.content[:200]}\")\n",
    "\n",
    "    # AIMessage 的最终文本回答\n",
    "    elif msg.content:\n",
    "        print(f\"\\n最终回答：{msg.content}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "daec7119",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Matplotlib is building the font cache; this may take a moment.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ 数据加载完成\n",
      "   员工表：5 行 × 5 列\n",
      "   产品表：4 行 × 5 列\n",
      "   订单表：5 行 × 5 列\n",
      "\n",
      "📋 员工表示例：\n",
      " id name department  salary  hire_date\n",
      "  1   张三        技术部 20000.0 2023-01-15\n",
      "  2   李四        销售部 11000.0 2023-02-20\n",
      "  3   王五        技术部 16000.0 2022-11-10\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "\n",
    "# ============================================================\n",
    "# 配置 matplotlib 中文显示\n",
    "# ============================================================\n",
    "# Windows 用 SimHei（黑体），macOS 用 PingFang SC\n",
    "# 如果还是乱码，试试安装 fonts-noto-cjk 并清除缓存\n",
    "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\", \"PingFang SC\", \"DejaVu Sans\"]\n",
    "plt.rcParams[\"axes.unicode_minus\"] = False  # 解决负号显示为方块的问题\n",
    "\n",
    "# ============================================================\n",
    "# 从数据库加载数据到 Pandas DataFrame\n",
    "# ============================================================\n",
    "# 用 SQLAlchemy engine 复用连接，避免重复创建连接池\n",
    "from sqlalchemy import create_engine\n",
    "\n",
    "engine = create_engine(db_uri)\n",
    "\n",
    "employees_df = pd.read_sql(\"SELECT * FROM employees\", engine)\n",
    "products_df  = pd.read_sql(\"SELECT * FROM products\", engine)\n",
    "orders_df    = pd.read_sql(\"SELECT * FROM orders\", engine)\n",
    "\n",
    "print(\"✅ 数据加载完成\")\n",
    "print(f\"   员工表：{len(employees_df)} 行 × {len(employees_df.columns)} 列\")\n",
    "print(f\"   产品表：{len(products_df)} 行 × {len(products_df.columns)} 列\")\n",
    "print(f\"   订单表：{len(orders_df)} 行 × {len(orders_df.columns)} 列\")\n",
    "print(f\"\\n📋 员工表示例：\")\n",
    "print(employees_df.head(3).to_string(index=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "136619b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Python 代码执行沙箱创建成功（图表显式渲染版）\n"
     ]
    }
   ],
   "source": [
    "import traceback\n",
    "from io import StringIO\n",
    "from contextlib import redirect_stdout\n",
    "from langchain.tools import tool\n",
    "from IPython.display import display  # 用于显式渲染图表，不再依赖 plt.show() 副作用\n",
    "\n",
    "# ============================================================\n",
    "# 定义沙箱的\"白名单\"——只有这些库和数据可以被代码访问\n",
    "# ============================================================\n",
    "# 这是一种简单的安全策略：不在白名单里的东西，代码碰不到\n",
    "SANDBOX_GLOBALS = {\n",
    "    # 数据：Agent 可以分析这三张表\n",
    "    \"employees_df\": employees_df,\n",
    "    \"products_df\":  products_df,\n",
    "    \"orders_df\":    orders_df,\n",
    "    # 工具库：Agent 可以用这些库做分析和画图\n",
    "    \"pd\":  pd,       # pandas — 数据处理\n",
    "    \"plt\": plt,      # matplotlib — 基础绑图\n",
    "    \"sns\": sns,      # seaborn — 统计可视化\n",
    "    \"np\":  np,       # numpy — 数值计算\n",
    "}\n",
    "\n",
    "\n",
    "@tool\n",
    "def execute_python_code(code: str) -> str:\n",
    "    \"\"\"\n",
    "    执行 Python 代码进行数据分析和可视化。\n",
    "\n",
    "    可用变量：\n",
    "      - employees_df: 员工表 DataFrame（字段：id, name, department, salary, hire_date）\n",
    "      - products_df:  产品表 DataFrame（字段：id, product_name, category, price, stock）\n",
    "      - orders_df:    订单表 DataFrame（字段：id, employee_id, product_id, quantity, order_date）\n",
    "      - pd:   pandas 库\n",
    "      - plt:  matplotlib.pyplot\n",
    "      - sns:  seaborn\n",
    "      - np:   numpy\n",
    "\n",
    "    画图时正常用 plt 即可，无需关心 plt.show()——工具会自动渲染所有图表。\n",
    "\n",
    "    使用示例：\n",
    "      # 统计各部门平均薪资\n",
    "      result = employees_df.groupby('department')['salary'].mean()\n",
    "      print(result)\n",
    "\n",
    "      # 画柱状图\n",
    "      plt.figure(figsize=(10, 6))\n",
    "      employees_df.groupby('department')['salary'].mean().plot(kind='bar')\n",
    "      plt.title('Avg Salary by Department')\n",
    "    \"\"\"\n",
    "    # 准备隔离的执行环境\n",
    "    # globals_dict 提供白名单变量，locals_dict 收集执行过程中产生的新变量\n",
    "    exec_globals = dict(SANDBOX_GLOBALS)\n",
    "    exec_locals = {}\n",
    "\n",
    "    # 用 StringIO 捕获 print() 的输出\n",
    "    # 这样 Agent 生成的代码里所有的 print 语句都会被收集\n",
    "    output_buffer = StringIO()\n",
    "\n",
    "    # 进入沙箱前先清掉可能残留的图形，避免跨次调用串图\n",
    "    plt.close(\"all\")\n",
    "\n",
    "    try:\n",
    "        # redirect_stdout 会把标准输出重定向到我们的 buffer\n",
    "        with redirect_stdout(output_buffer):\n",
    "            exec(code, exec_globals, exec_locals)\n",
    "\n",
    "        result = output_buffer.getvalue()\n",
    "\n",
    "        # ====================================================\n",
    "        # 显式渲染图表：遍历所有打开的 figure，主动 display 后关闭\n",
    "        # 不再依赖 plt.show() 的隐式 inline 钩子（多次 invoke 时不可靠）\n",
    "        # ====================================================\n",
    "        fig_nums = plt.get_fignums()\n",
    "        for num in fig_nums:\n",
    "            display(plt.figure(num))\n",
    "        n_figs = len(fig_nums)\n",
    "        plt.close(\"all\")  # 渲染完即关闭，防止泄漏到下一次调用\n",
    "\n",
    "        # 组织返回给 Agent 的文本说明\n",
    "        notes = []\n",
    "        if result.strip():\n",
    "            notes.append(result.rstrip())\n",
    "        if n_figs:\n",
    "            notes.append(f\"📊 已渲染 {n_figs} 张图表。\")\n",
    "        if not notes:\n",
    "            notes.append(\"✅ 代码执行成功（无文本输出也无图表）\")\n",
    "\n",
    "        return \"执行成功：\\n\" + \"\\n\".join(notes)\n",
    "\n",
    "    except Exception as e:\n",
    "        plt.close(\"all\")  # 出错也清理，避免半成品图形残留\n",
    "        # 出错时返回完整的错误堆栈，方便 Agent 自我修正\n",
    "        error_detail = traceback.format_exc()\n",
    "        return f\"❌ 执行出错：{e}\\n\\n{error_detail}\"\n",
    "\n",
    "\n",
    "print(\"✅ Python 代码执行沙箱创建成功（图表显式渲染版）\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "08f67632",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据可视化 Agent 创建完成\n"
     ]
    }
   ],
   "source": [
    "from langchain.agents import create_agent\n",
    "\n",
    "# ============================================================\n",
    "# 定义可视化 Agent 的 System Prompt\n",
    "# ============================================================\n",
    "VISUALIZATION_PROMPT = \"\"\"你是一名资深数据分析师，精通 Python、Pandas 和 Matplotlib 数据可视化。\n",
    "\n",
    "## 可用数据\n",
    "1. employees_df — 员工表（字段：id, name, department, salary, hire_date）\n",
    "2. products_df  — 产品表（字段：id, product_name, category, price, stock）\n",
    "3. orders_df    — 订单表（字段：id, employee_id, product_id, quantity, order_date）\n",
    "\n",
    "## 工作流程\n",
    "1. 理解用户的分析需求\n",
    "2. 用 execute_python_code 工具编写并执行 Python 代码\n",
    "3. 先做数据探索（head、describe、info），再做深入分析\n",
    "4. 用中文解释分析结果，给出业务洞察\n",
    "\n",
    "## 代码规范\n",
    "- 绑图前设置中文字体：plt.rcParams['font.sans-serif'] = ['SimHei', 'PingFang SC', 'DejaVu Sans']\n",
    "- 设置 plt.rcParams['axes.unicode_minus'] = False\n",
    "- 图表尺寸统一用 plt.figure(figsize=(10, 6))\n",
    "- 必须添加标题、坐标轴标签，让图表自解释\n",
    "- 用 print() 输出关键统计量，不要只画图不说话\n",
    "- 图表标题用英文（避免渲染问题），但用中文向用户解释结果\n",
    "\n",
    "## 注意事项\n",
    "- 每次只执行一段完整的代码，不要拆成多段\n",
    "- 先探索数据结构，再做分析——不要上来就画图\n",
    "- 结果要有业务洞察，不只是\"最大值是 XXX\"\n",
    "\"\"\"\n",
    "\n",
    "# ============================================================\n",
    "# 组装可视化 Agent（langchain 1.3.1 写法）\n",
    "# ============================================================\n",
    "viz_tools = [execute_python_code]\n",
    "\n",
    "# 同样用 create_agent 一行搞定，和 SQL Agent 的创建方式完全一致\n",
    "visualization_agent = create_agent(\n",
    "    model=llm,\n",
    "    tools=viz_tools,\n",
    "    system_prompt=VISUALIZATION_PROMPT,\n",
    ")\n",
    "\n",
    "print(\"数据可视化 Agent 创建完成\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f1ca5c3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "findfont: Failed to find font weight bold, now using 600.\n",
      "findfont: Failed to find font weight bold, now using 600.\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "分析结果：\n",
      "图表已成功生成。下面是完整的分析结果：\n",
      "\n",
      "---\n",
      "\n",
      "## 📊 员工薪资分布分析报告\n",
      "\n",
      "### 一、数据概览\n",
      "- **员工总数**：5 人\n",
      "- **涉及部门**：技术部（2人）、销售部（2人）、人力资源（1人）\n",
      "- **数据完整性**：5 条薪资记录无缺失\n",
      "\n",
      "### 二、核心统计量\n",
      "\n",
      "| 统计指标 | 数值（元） | 业务含义 |\n",
      "|---------|-----------|---------|\n",
      "| **均值** | 13,800 | 整体平均工资水平 |\n",
      "| **中位数** | 16,000 | 比均值高 2,200 |\n",
      "| **最大值** | 20,000 | 张三（技术部） |\n",
      "| **最小值** | 5,000 | 赵六（人力资源） |\n",
      "| **极差** | 15,000 | 高低薪差距 3 倍 |\n",
      "| **标准差** | 5,890.67 | 离散程度较大 |\n",
      "| **25% 分位数** | 11,000 | — |\n",
      "| **75% 分位数** | 17,000 | — |\n",
      "| **IQR** | 6,000 | 中间 50% 员工的薪资跨度 |\n",
      "| **偏度** | **-0.86** | 左偏（负偏）|\n",
      "| **峰度** | -0.04 | 接近正态分布的\"平坦度\" |\n",
      "\n",
      "### 三、🔍 关键业务洞察\n",
      "\n",
      "**1. 均值 < 中位数 = 典型的\"左偏分布\"**\n",
      "偏度为 **-0.86**，说明有**低薪离群值**把均值往下拉。这正是赵六（HR，5000元）造成的——他一个人就让整体均值下降了约 2,200 元。在做薪资汇报时，**中位数（16,000）比均值（13,800）更能代表\"典型水平\"**。\n",
      "\n",
      "**2. 部门间薪资差异显著**\n",
      "- 🥇 **技术部**：均值 **18,000**（最高），是技术驱动型公司典型水平\n",
      "- 🥈 **销售部**：均值 **14,000**（与销售提成结构相关）\n",
      "- 🥉 **人力资源**：均值 **5,000**（明显偏低，样本仅 1 人）\n",
      "\n",
      "技术部薪资比 HR 高出 **260%**，这是非常显著的部门间薪酬断层。\n",
      "\n",
      "**3. 薪资分层清晰**\n",
      "按四分位数可划分为三档：\n",
      "- **低薪层（≤11,000）**：25% 的员工\n",
      "- **中薪层（11,000–17,000）**：50% 的员工  \n",
      "- **高薪层（≥17,000）**：25% 的员工\n",
      "\n",
      "**4. 箱线图无离群点提示**\n",
      "按 1.5×IQR 规则（11,000 - 9,000 = 2,000 到 17,000 + 9,000 = 26,000），5,000 和 20,000 都**未越界**，所以这个\"低薪\"在统计上属于正常范围，但**业务上 HR 部门薪资是否合理仍值得 HR 复盘**。\n",
      "\n",
      "### 四、💡 行动建议\n",
      "1. **HR 部门薪资偏低** —— 建议对比行业基准，避免因薪酬过低导致关键岗位流失\n",
      "2. **销售部 11,000 vs 17,000** —— 内部差距较大，建议核查是否与业绩提成结构有关\n",
      "3. **样本量过小**（仅 5 人）—— 当前结论仅供参考，建议**扩大数据范围**后重新分析以获得更稳健的结论\n",
      "\n",
      "📁 图表已保存为 `salary_distribution.png`，包含 4 个子图：直方图、箱线图、部门均值、个人排名。\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")  # 抑制 matplotlib 的字体警告\n",
    "\n",
    "response = visualization_agent.invoke({\n",
    "    \"messages\": [{\"role\": \"user\", \"content\": \"分析一下员工薪资的分布情况，包括均值、中位数、最大最小值等统计量\"}]\n",
    "})\n",
    "final_msg = response[\"messages\"][-1]\n",
    "print(f\"\\n分析结果：\\n{final_msg.content}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e7ab949a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "findfont: Failed to find font weight bold, now using 600.\n",
      "findfont: Failed to find font weight bold, now using 600.\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA90AAAJOCAYAAACqS2TfAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlcelbwAAAAlwSFlzAAAPYQAAD2EBqD+naQAAgeNJREFUeJzt3Qd0FFUXwPGbQgi9IyAdpPeu9CJSFVEQC4JgAxT4QFHEAipFBWwUFREQFVFEQSmCAoIoHaUpvYN0CCUhJNnv3Iez7m6yKWQHNtn/75w9uzvzdnd2kkzmzn3vviCHw+EQAAAAAADgc8G+f0sAAAAAAEDQDQAAAACAjch0AwAAAABgE4JuAAAAAABsQtANAAAAAIBNCLoBAAAAALAJQTcAAAAAADYh6AYAAAAAwCYE3QAAAAAA2ISgGwAAAAAAmxB0AwAAAABgk1C73hgAkL5ER0fL3r17zeO8efNKnjx5bvQmpSmnT5+WP//8U/bv3y+ZMmWSIkWKSI0aNSQ8PDxVP5NJkyaZxw899JDkyJFD/MWhQ4dkzpw5kiFDBnn88cdt/7y4uDjZuXNnvOX8rgIAbrQgh8PhuNEbAQDwf1OnTpVHHnnEPG7VqpUsWLDgRm9SmhAVFSXPPPOMfPLJJxIZGem2Ll++fPL888/LgAEDrum9z507Jzlz5jSPd+3aJaVKlRJ/8fPPP0uLFi0ka9ascv78eds/z3VfeNL9XK5cOenTp4/cd999klZduHBB5s+fL507d5a0JK1uNwD4CpluAECyaNBoWbRokclkFi5cmL2XRPb13nvvlXnz5kmWLFnMY81wa4C4dOlS03Ng4MCBJvPdq1cv9qWPlC9f3uzv2NhY83t64sQJc1uxYoV8+eWXMmXKFK8Bur/69ddfpU2bNqY3Q1oKXtPqdgOALzGmGwCQJM2iasASGhoqderUMcHkp59+yp5LgnYn14A7KChIfv/9d/n6669l7NixMnnyZNMV+v777zfthgwZYvYpfGP69Omydu1a2bBhgxw/flwiIiJk5MiRki1bNvnuu+/kpZdeSnO7+tixY9elx4CvpdXtBgBfItMNAEiSZgatbuUaKD744IMm8z148GATUCoNbjQwV61bt5bMmTO7dS/98ccfzePGjRubcbbq8uXLZvkff/xhgs7q1atLkyZN3MYmW++rY4PbtWsnX3zxhWnfsGFDueuuu0wbPan/9ttvTSB78eJFKVmypDRv3txkPBMaB/3DDz/Ixo0bTRCmXaC1nXZ/VZqV08yzJTnb6M3WrVvNvWZVK1Wq5LYuJCRE3nrrLROUX7lyxQTo+t6WlHynhCTn9d72bZUqVUym2PqZW48tmqXXMepFixaV2rVrJ2t71q9f7/wdqFWrltx+++3O3x3NQi9fvtynn+dKf87ajb906dLSqVMnmThxojz55JNSsWJFZ5uU/C7mypVLGjRoYAJ4ba/Pdbu0va9/Fvq+erFLL9qoS5cuyTfffOP8O9O/LX2d/j7p38PcuXNl1apVZl81bdrUdKtXP/30k3kPzf7rZ+vfj6eU7AP9vA4dOsiSJUucf/c1a9Y02670ey5cuNDrdrseHwAg3dMx3QAAeBMbG+u4+eabtf6HY+bMmY6LFy86smbNap7/8ssvznZnz551hIeHm+VffPGF23tMmzbNLM+SJYvj/PnzZtmuXbsc1atXN8tdbyVKlHBs3LjR+dqffvrJLM+ZM6ejf//+znZNmjQx65cvX+7IkSNHvPcJDQ11vPHGG27bsWPHDke1atXc2gUHBzsGDRrkfH7o0CFn++RuozebN292vmbw4MGOyMjIZP2iJfc76T631um2pvT13vZtgwYNHNmyZTOPJ0+e7LZtERERjkyZMpl1U6ZM8fodrPfW35V33nnHERQU5LYtd911l3kvpb8Tqf08132xbt06r+2qVKli2rjuh5T+LpYsWdJRr169eO07d+7suHDhwjX9LL39LOrWrRvvtdZt3759ztfp3167du3c1oeFhTm++eYbx4MPPhjvtc8995zbdqZ0H+jP5PHHH4/X/s4773S+X2LbDQCBhKAbAJCoBQsWmBPl7NmzOy5dumSWPfTQQ2ZZ9+7d3dp26dLFLO/YsaPbcisY6Nq1q3keHR3tKFeunFnWtGlTx5w5c8znPPbYY2aZBilnzpxxO8m3grbSpUub9+vRo4cJYnPnzu0Mwr/66ivHihUrHAMGDDDLQkJCHFu2bHFePKhVq5ZZXqpUKXNhYNmyZY5nn33WBN6eQXdKttGbuLg4R8+ePZ3vrdv66KOPOn788UfHlStXEnxNSr5TQkF3Sl6f2L7t1auXWdaoUSO37Zs6darz90EvwHhjvbfeMmbM6HjzzTdNAPr++++bwFKX676xpPbzkht06++gttGfw7X+LlrfafTo0ebC07hx45yBtQai1/Kz9Paz0IB56NChJqC39oM+15t+Z9dtKlCggLlooYF2nTp1nMs1QB4zZozj+++/dzzxxBPO5b///nuq9kGuXLnMz1Pb6++MtXzWrFmO06dPJ7rdABBICLoBAInq1KmTOWnWk2rLwoULnZlrK1up5s+f7zzJtzJ+eoKtGTddrifsSoMUfV64cGFnIG+59957zbpXXnkl3kn+fffd5xasaqDZu3dvE5icPHnS7X2qVq1qXjNhwgTzfPbs2eZ5hgwZHHv37nVr65pZtILulGxjUoG3bkPlypXdsn158+Z1PPnkk45Nmza5tU/Jd0oo6E7J6xPbt3/++aczCNyzZ49z+e23326W67YnxvW9NTBz9fPPPzuDTutnkdrPS27Q/eKLLzqD4NT8Ln788cdubRcvXuzMYFuZXF/9LJQGstZ2etvPS5YscS7fuXOnc7kGuq6sjPbw4cNTtQ++/vprt7baQ0KX9+vXL8ntBoBAwphuAIBXp06dMnMtq65duzqX6zjom266yRRJ+uqrr6Rnz55mecuWLaVAgQLyzz//mLHKWq1Yx5jqOGqt2q1jTJU1BrREiRIye/Zst8/U8bFKx5YOHTrUbZ0WIdPxrRadImv8+PF6AdmMn165cqX5bB2bGhMTY9ocPHjQ3OsYblW/fn0pXry42/vqNFLvvPOO27Jr3UZPOm5ZK5Pr7a+//jL7S8f36hjuDz74QD766CMz13aPHj1S/J0Scq2v99y3Oq771ltvNWNytWjeK6+8Yt5Hx/Cqxx57LNHv7fr9rd8PS7Nmzcw0XjqWe926debn4avPS4pV1Msap3wtP2cdz+z692D9TVjfScevFytWzGc/i+TQseBaL8Gi49czZsxoPstzHHyFChXM34P12deyD3T72rdv79a2bt26plq5zkUPAPgPQTcAwKvPP//cBMwaOGkxtWnTpjnX6Qm90oJqVlClwYgWWRszZozMmjXLBN1asVtpkBIcHOyshm6d7Fsn/J50Oi1XOt9zoUKF4rXT6cv69+9vAtqEaMCjdOooVbBgwXht9EKBp2vZxqRo4SwNJvW2Y8cOefbZZ81FiUcffdQUvLrttttS9J28Senrve3bJ554whkEv/zyy2a6LS3EVa1aNalRo0ayvrPuW9fCdJabb77ZBKiu+9AXn5cU6/NuueWWa/4558+fX8LCwuK1032o32nPnj0+/1kkRf8erb8v10Bcg27rb9V1uatr2Qfh4eHx3tf6OVsXFAAAVxF0AwCSrFqugYG3KcJ+++032b59u5QtW9Y8f/jhh03QrZnuo0ePmqBDuWYGNSOotNryI488kqyfQEKZP62yrBWUIyMjzedqZWoNqvXkv0+fPrJs2TJnW820K83Oezpy5Ei8ZdeyjZ70O2slaQ0mn3nmGbd1ZcqUMdWvtar5tm3bZMGCBSboTsl3Ssi1vN5bVlUvmvzvf/8zQaRmMPUiTEqzzjpdV2LLrf3sq89LjAbE1vfXbO+1/pzPnDlj/ias6uueWXQrO+zLn4WdfPG7DgDwjqAbAJAg7X6qQYOaMWNGghliq8u0BuejRo0yy7SbsGYm9bW6XjNt2u3UmrpI6WOdTkiDF2vaL8vixYtNIK/dc5Oi2XQNaHT6JtcsvGZHd+/e7dZWpzNSmsnbt2+fWxdz6+KCK19so07b9Nlnn5l5uZ9++ul4mUEN2qyAx5qnOyXfKbX7JCkaHHbr1s10vde5rbUruC7T3gzJpVNH6XzZrplqvRhjdUHWiw++/DxvoqKipF+/fibY15+bNUf6tfyc9b30Yop2h3f9TgcOHDCPrQtQvvxZ2MlXf48AgIS590MCAOBf2m1c6Vy9Xbp0MeNFPW8aICnNgmsgYdGsnrLGg1vtLJq51C6uOjezjmm2gk59fs8995ixoxoAJOXs2bPmXudwtj5fA6LevXvHGyur4081+NE5sXWOYp0jW7f7gQcekI8//jjee/tiGzt27Gje4++//zavWb16tQn6dM7iTZs2mQz4L7/8Ytpa491T8p1Su0+SQ7dRWdup2drkzFHuSj9b6wNYQfjjjz9utk1/t1wDV1993ubNm82+1mBRx9APHz7cBJZ68UhpTwztHp2an7N+J52z2spw63Zrt2q96GQNE/Dlz8Ka11rfS3uWnDx5UnzFV3+P13u7ASDNuNGV3AAA/icqKso51dHYsWO9tjt48KBzui2djsjyzz//mCrOulwrl586dSrea0eMGOGsgpwvXz5Tzdt63rJlS2f1Ztf5iz3pdE3W5+fPn9/RrFkz8146nZM1H/fzzz/vbK+VyXVKJNcq4lppXStIe1YvT8k2Jsaa8iqxm05bdi3fKaHq5Sl5fWL71pVW+rY+R6e8Sg7rvXX+ba0Yr7cyZco4K9nrZ65cudJnn+e6L7zdihcvbqqMp/Z3UfelTj+n92XLljXfzZoWS6dFs/jyZ3H8+HEz57nrd3F9na7zZLW3Zg2w6FR/nhXhU7oPEvo8qzK8TnWW1HYDQCChezkAIMFMYZ06dcxjqxtuQgoXLixPPfWUKQqmWax27dqZ5VrZXItHbdmyxXQrzp07d7zXDh482HyGZpz18zQDqt3QtYq3FmbTomwqT5480qpVK8mSJUu892jUqJGpBP7aa6+Zbu6aPWzevLkMHDjQvKdmOV27L2vxrp9++skU69Lu79mzZzcZZi0WZ3HNqiZ3GxOjWX7Nfr733nuyZs0aOXz4sMl6atdzHc+t3c41A38t30nH/+q+cc0opuT1ie1bz14COv5Yu027bmtirPfWgmXaU+LFF180+1x/BrpPR4wYISVLlvTZ57nuC8/t0Cy33lq3bp3gd03pz1mzwkuXLjXj9OfPn29+37VCuGbUtViexZc/Cx2G8PPPP5uK99qVXT/T9XVW5t6zorpm1rWNq8qVK5vXWOPaU7IPEvs8/VnrOtehBN62GwACSZBG3jd6IwAAsJt2b9Zq2EqLRVlBqtKib3rBQCtta2AAd9oFXMcwa0DmWRAuPXxecmnwqIGsVhi3iqYBAJAUMt0AgICgGexhw4aZCtY7d+40AZ1mLHW6pBdeeMG08Zx3GCJr1641AbDuK2usfnr6PAAA7EYhNQBAQNDux9rFWyuGv/vuuyZbmTNnTtMlVoualShRwnQPhjvdV0qrWuv81Ont8wAAsBuZbgBAwNCxxaVKlTIVmjXbfe7cOTN1mI5d1emkdHoq/EfHnmvgq+P2r0fW+Xp/XkpZNQzCwsJu9KYAANIQxnQDAAAAAGATupcDAAAAAGATgm4AAAAAAGzCmG4fiYuLkyNHjki2bNlMkR4AAAAAQPqls2/rFJKFChWS4GDv+WyCbh/RgLtIkSK+ejsAAAAAQBpw8OBBU2zTG4JuH9EMt7XDs2fP7qu3BQAAAAD4oYiICJN4tWJBbwi6fcTqUq4BN0E3AAAAAASGpIYXU0gNAAAAAACbEHQDAAAAAGATgm4AAAAAAGxC0A0AAAAAgE0opAYAAADgmsXGxsqVK1fYg0hXMmTIICEhIT55L4JuAAAAACnmcDjkn3/+kbNnz7L3kC7lzJlTChQokGR18qQQdAMAAABIMSvgzp8/v2TOnDnVgQngTxeULl26JMePHzfPCxYsmKr3I+gGAAAAkOIu5VbAnSdPHvYe0p1MmTKZew289fc8NV3NKaQGAAAAIEWsMdya4QbSq8z//n6ntmaB3wXdMTEx8tdff8nRo0cTXB8XFyfbt2+Xy5cv35D1AAAAAK6iSznSsyAfDZnwq6B75syZcvPNN8tDDz0ktWvXlpYtW8qZM2ec63/44QfJmzev3HPPPSbF/+abb7q93u71AAAAAACkyaD777//lscee0wWLlwo69evl/3795sA+Pnnnzfrd+/ebYLxxYsXy5YtW2THjh3y3nvvydy5c6/LegAAAADp22uvvSbR0dFuyxYtWiQLFixI8rVTp06VCxcuuC176aWX5NSpU2KHrVu3yowZMxL8Djt37rTlM3Ftghxams0PDB8+XDZt2mSy3Zbvv//eBN36CzVkyBA5ffq0TJw40bn+ww8/NEHxvHnzbF+flIiICMmRI4ecO3dOsmfP7qO9AgAAAPifqKgo2bt3r5QoUULCw8MlLWvUqJGcP3/ePN68ebNUqFDBFM3Snq8//vijNG7cWGrVqmV64VrKli0rxYsXdz7XhJ22OXz4sGTLls25PFeuXLJu3TopVapUvM/99ddfTdIxJdasWeN8/88//1w+/vhjWbp0qXP9wYMHzXbpUF3dfjsdOXLE7KebbrrJ67DdQ4cOSdasWSV37txe3+fEiRPmOyX2e5ScNq6+++47s3+SY9KkSWZqsGv5PU9uDOg31cvr168vTZs2dVumwXbRokXN49WrV8vDDz8c7zUvvvjidVnvScd8u4771h1u/XLpDQAAAEiv9HxXc3fWLS37+uuvnUNab731VpkyZYpkyZLFBFHbtm0ziUENYDXA1d65WoPqjTfekGLFijnfQ9c9+OCDJsD03B/e9lGlSpXMZ3nq06ePCfDvuuuuBCtqW+/lea+++uorE3Tv2bPH3FyVKVPGXARILg0kH3jgARNYu/b+1cToU089ZQJh/T3Q4cHjxo2T1q1bO9uMHDlSRo0aZQLlCxcuSOHChU1ys2HDhs42GzduND2N9+3bZ563a9dOPv30U8mYMWOK2iREg+Q77rgjWd8zLCzM6++w9bPzFuMlN+7zm6C7SZMmbs+1i7n+sObMmWOe69Ua7W7uKl++fKa7hnYBsXu9/jBc6bYNGzYs3vfQXz69IgIAAACkV1rNWQMODUD1lpZpvKHDSitWrGjmZtYeuJqx1gz3smXLTBJw2rRpkiFDBhMAdujQwQSY1vfWew0E58+fHy+7rIFrnTp13Kab+uSTT6RVq1YmsNcgXbula2xh0UBVg8aaNWua55GRkSY5qL1wNQC0PlenbXN9rvcaxGtisGvXrm7boRlnzfy2b98+yf2h76MB8vvvv29+xrfccovzMzQI7tKli9mW++67z6zXgLtTp05miK4G1/p99PXLly83+9ThcMhHH30kd955p2mjmXHNkus+ePrpp6Vfv34m5tLvqNv9xRdfmM9KThtvtLeC3pLL2++wLtfvqJ+tP39PVg+JNBN0e6b4tVv5+PHjncF4aGhovCsJ+oumFeX0l9ju9Z4GDx4sAwYMcMt0FylSxATqdC8HAABAeqZJJg049Bxab2lZcHCw3HbbbfL444+b7uT9+/eXn3/+2QSqGkTqd33hhRdMfKKB5IQJE9y+89tvv21igOrVq8vvv/9ulmlGXIsy//HHH6b3rAbwGqyrAgUKOF+vc5xrzKOBrBVka/yh22S10QDXtbu4XvAYO3aseW/tTj5mzBjz3tqlWuOZXbt2xcsEN2jQwASNyflZ6YUCvYig30u7xmuPYOt1ulyzzXrxwTJw4EDTVru+a5Zdx8D37NlTqlat6pa9f/fdd2XVqlWmaLVexChXrpyzV7FeaPjss8+kdOnScuDAASlZsmSy2thNv7f+LPTnlFD38uR2d/ervxD9hdYfkP4CrVixwu3qRMGCBeWff/5xa6/PrYnK7V7vSX+RE+rWoD8UvQEAAADplZ7vanBo3dKyKlWqmCmDNdtsBZzaDVuzt5ppPXv2rJlZacmSJSZ41ADMogHu0KFDTYCp+0EDQqu7+SOPPGKSdI8++qjJpD/zzDPxPltjEG2nAbp2DbdY+1W7Zr/11lsm2LT2s2aOtei01cNWH+tYdC2gpgGv3lq0aOE2h7omE62fmXbV1vHkroGzK+39q/GY1fvY2h6l30ff1/Vnrpn1ixcvmu7rulzHu2tQ7Nrm0qVLJlusmW9drl3U9UKDaxvtrq/7UWeU0sx2ctokRD/bdQas5NAu8p69nq3vbV0ESSjGS27c5zfRof7y6LgFvWKmV0A8uwPoeG+94uTqp59+MleNrsd6AAAAAMlw8aL3m+cwzMTaRkZee9sU0LHV2uVZM8ja3VsDcA2mNBjXYFKDP41VNPjWgFaLLFtjfTWgrlGjhtv7aYCr48Q1o2u9v/aK1fdNyLPPPmveV4s6e9Llmu11LeKmiT/tvt2jRw8T6OpjXf/qq6+arLrOxqQxjGtC0Qq61TvvvGO6aB8/fjzF+0qzy5qpVxs2bDD7omPHjqbreLVq1cxyvTChM0Pp/axZs0x3cx1f3bt3bylfvrxpo70IXAvRub6/du1PbpuEaNZdM//WTXsx6EUI67kWvNPhAa5tdGiArRx+Ytq0aY48efI4tmzZ4ti3b5/zdvDgQbP+6NGjjnz58jlmzpzpiI2NdaxZs8aRO3dux4oVK67L+qScO3dOR9+bewAAACA9i4yMdGzbts3cx6MhhrdbmzbubTNn9t62cWP3tnnzem9bq9Y1fY+oqChHuXLlHBMmTHDExcU58ubN6zh79qzj7bffNrc77rjDce+99zpWrlxp1n/77beO6tWrO0aPHm3O+zt06OCYO3euo169es73/P777x333XefeZwzZ07Hrl27HO+9956jb9++XrcjIiLC+bhJkyaOjz/+2Pn88uXLCb7ms88+M20T8tZbbzkqV65s4hpVrVo1x+LFi83jkydPOpYtW5as/fPiiy86WrRokeC6u+++21GlShVHoUKFHKtWrXIu1/3ywAMPmH3ZrFkzR926dc1j3ceWsLAwx8KFC+O9Z8+ePR09evRIdpvkaN68uWPWrFnO58WLF3esW7cu9b/nKYgB/aZ7uXaJ0H76OkbAlY6P0PEBekVF58fTsRbaBb1QoULywQcfmPEJyu71AAAAANIXzRrrlFs6llu7lWv36dmzZzurfFvdm3Xea2vua81Ma9dzHe+rXcI1G22xxn9rNtmVFgCrXLmyqQZet25ds0zrQWk2NyFawE2z6J60S/j06dOT/F7alV3bajEyHZeuWXzXceS+6M2r+0lpV3Stw6XZ/dtvv918Vx1brt3YtVic+uuvv0zlcp06TAuw6b3nnOZKu/drETmVnDbJod3NU9LeDn4TdOtYBb0lRosL6LiChKqJX4/1AAAAAJKQQKDk5FkrKbEuzp7jZf+dNipZbVNAg1EtGGbRQFVpEKnF0axx2hYNJO+//37z2LOitQa79erVk2bNmrkt17mctRq4TiumFcA12ajdzROaqkq7Pmtg2r179wS3NTk04NXgX7uAa1E3DbqTmmYrOTQpqV21XfeJditv3ry5fPvtt6Yrt04vpklTK+BW2q28W7duMmPGDPPd9IKDzn/tSac5s5KeyWmTFB26rEF3Qt3UAzLoTomkAmK71wMAAADwwiXYumFtU0ALaGlA/M0335gCXFaGWQPxu+++W9q2bRuv6FZCdOy39pzVImqa8VWaqdXMrxYf03styKYFwHTaMNdCZ660iLNWxXYNWr3R4mQ6jfHKlSvNZ2vGXmeC0vsnnnjCVB5XOjY9Oe+XFA2aday4Fo9zdezYMTMG3qqQntAUypcuXXJ+Z63lpVO1uRaX04JwOie6jg9Pbpuk6NRieiFAs+beaD0x7c1g9UCwg98UUgMAAACAG0Wzw57Fzl5//XVTwdz15o0G7Fo0TAtCP/nkk+amyTzNiutjLeClwb0WcE6NkydPmsJkTz31lMnkahVz7fKuAakOldXgV7vCa0ExzbArLQJnPdZK6Jop1vm/U0qLo40ePVoWLlxosvRaufyNN94w2Xv9nvp9tbCaTiOm+9P1gsS0adOcPQS0CNyOHTtMxXW9IKDZaO0Or932ra7gyWmTGN0fOue67qfEaFV6zc7bKU1mugEAAADAbhq4WlXIk6KZbIv1Gs2aa3fxUqVKOddp5fDU0DHZ+p66bZ4zPmlg6jmN1dq1a00mV6cns7LvGoRrRfOkeGbcO3fubKqea/CrQbsOy9Xq6lr9WyupW/OK65zm2qVcA/2LFy+aTLNWWW/fvr1po9uiVdb1fTQw1uy+VhGfMmWK87OS08ab3377zXTl15+DXgRwpfvCNROvtcVSeyEkKUFaTc3WTwgQOg2A/lLpwP7s2bPf6M0BAAAAbKNBi4631YyjBmZpmRb40uyxdtXWQDR//vxmuWZqNVhM6Ny+TZs2MmbMGPNYp83SjPjvv/8er50WZNNu6q5Bd1I0ANRAU4s7X6uZM2earLsVgPbt29dkjH1FQ8ijR4+agNzKoHvSYmo6Pj5LlizOwnQJ0anSdKq2xIb4JqeN0p+fDgnQeciHDBliMu6edF50Deb1d1d7Cuj0Y1oMLqFhA0n9nic3BiTTDQAAACBgaTXw5GR9XWkAaClbtqwZP52QV155xWSmU6JXr17O+ayvlVYn1wA1JiZGxo8fb+a29iXNFutsT4nRjLtWTk9KYuOtU9JGaTZc5wPXn6m3iwGaKddx4Rpw6zZqMW27a3qR6fYRMt0AAAAIFOkp0w1446tMN4XUAAAAAACwCUE3AAAAAAA2IegGAAAAcE2oyYz0zOGjmuME3QAAAABSJEOGDOb+0qVL7DmkW5f+/f22ft+vFdXLAQAAAKSIVonOmTOnmbNZZc6c2VS0BtJLhvvSpUvm91t/z/X3PTUIugEAAACkWIECBcy9FXgD6U3OnDmdv+epQdANAAAAIMU0s12wYEHJnz+/XLlyhT2IdCVDhgypznBbCLoBAAAAXDMNTHwVnADpEYXUAAAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOmDAPgFBcXJ5GRkcneI2FhYWYOQwAAAAAJI9MNpFJsbKwJVj05HA45ePCgrF27Vk6ePJnoe5w/f17++OMPiY6Ovq7tPG3evFmyZs2a7NuIESNS9P4AAABAoCHTDaTCuHHjZMCAAdK8eXNZsGCBc/m8efOkb9++smfPHueyRo0ayYQJE6RixYrOZREREdKlSxf58ccfTeCeKVMm6dWrl4wePVqCgoJsa+dN7ty5pXv37sn+/tWqVUt2WwAAACAQEXQD1+Dbb7+Vd999V3755Zd461atWiUdOnSQbNmyyeuvvy4lS5Y0yzTgvuOOO2TTpk0muNVMeMuWLWX16tXSunVrqVevnsyePVvGjh0rMTEx5v2Vr9slpkiRIjJlyhR+JwAAAAAfCXLomTpSTTOMOXLkkHPnzkn27NnZo+mcBtSXLl0ywa1mtVu1auXMdD/11FMyfvx4+eabb6Rjx47O1zzzzDMyZswY+fLLL+W+++4zr2vXrp3ba/X3p1KlSnL8+HE5cOCA3HTTTT5vBwAAAOD6xYCM6QauQbdu3cxY7cGDB8dbFxoa6iwy5ipjxozmPiQkxNxPnTrV3A8cONDZRv9oH3vsMTMWe8aMGba08+bUqVOyffv2FN927tyZwr0HAAAABA66lwPXOJZbrVy5Mt66Tp06yQcffCAjR46UUqVKmS7bGzZsMEFxwYIFpWnTpqbdrl27zH316tXdXl+1alVzb40H93U7b3SbX3zxRUmpnDlzypkzZ1L8OgAAACAQEHQDPla/fn0zLvqBBx6QChUquHVJ17HdefLkMc8PHTrkDFpdWc+18rkd7by57bbb5Pnnn3c+37Ztm8ydO1fat29vir+dOHFCJk+ebMaKN2nSxNkuPDw8mXsGAAAACDwE3YCPaeVwrQCuXbv1/uabbzbF07R7txY60+x4sWLFnN3MPcsqWM+tbuq+bueNZuCtLLx67733TNDdr18/U51969atJujWgFuz+AAAAACSRtAN+JgWUtNq4StWrJDKlSs7lzdo0ECefPJJGTp0qMmEFy5cWI4dO2bGUrsWONPnStdb975sl1xWd/UyZcpc034AAAAAQCE1wKeioqJMsKpjt10DbqXThak//vjD3JcvX97ca0E2V+vXrzf3ZcuWtaVdci1btkyyZMmS4mAdAAAAwH+oXg74kI5v1u7k//zzj/z9999u65YuXeqWOdaq4mr48OESFxdnHuvrPvzwQxPsdunSxZZ2yaFZ+s2bN8tDDz0kQUFBXttpxl6nTdMpyQAAAADER/dywMeGDBkivXv3NoXJunbtarLeOh565syZZtqwZ5991rRr1KiR3HnnnWbcdI0aNaROnToyf/58OX36tIwYMcJZAM3X7ZKyZcsWM4+4Btv9+/dPtK0WV1u4cKHpTg8AAAAgPjLdQCroXNza/Tpv3rzOZb169ZLp06dLgQIFzNRiOpf3V199ZaqaL1myRGrVquVsO2vWLNP+yJEjMmnSJBOUawEzz/m/fd0uIRqcDxs2zIw917Hh+vpy5crFq1KuGXDtIq83Dep1uX5XAAAAAPEFOTxLHeOaREREmGrV586dk+zZs7MXYVy5csUEs/ny5ZPg4MSvcZ09ezZZ2Whft7PoRYHffvvNXER455135J577onXRseF79ixw21Zu3bt5Pvvv0/25wAAAACBFAMSdF/nHQ74q3Xr1pmia4888ojJ4CckMjJSfv75Z/N7rrJmzSq33367ZM6c+TpvLQAAAHBjEXT76Q4HAAAAAARODMiYbgAAAAAAbELQDQAAAACATQi6AQAAAACwCfN0B5ioqCiJjo6+0ZsBwAstYmdNzwYAAIC0j6A7wALuwkWLyakTx2/0pgDwIk++/HLowH4CbwAAgHSCoDuAaIZbA+5yz30gIRkz3ejNAeAh9nKk/P3Gk+ZvlWw3AABA+kDQHYA04A4JZ15lAAAAALAbhdQAAAAAALAJQTcAAAAAADYh6AYAAAAAwCYE3QAAAAAA2CQgg+6YmJhUrQcAAAAAIM0G3adPn5a2bdvKmDFjzPOTJ09KiRIlErx9+umnps2ePXsSXN+3b1/n+27cuFHq1KkjOXPmlAoVKsg333zj9rlJrQcAAAAAIE1PGTZ27FgZP368xMXFSY0aNcwyDYJ/+OEHt3axsbHSrFkzKV68uHl+6NAhyZ07t3z11Vdu7bJmzWrujx07Jq1atZK3335b7rvvPlmzZo20a9dOChYsKLfddluS6wEAAAAASPNBt2abv/76a3n//fedy0JDQ6VixYpu7ebOnSs33XSTNGrUyDw/evSoyWyXKlUqwffVjLgG6Q888IB5fuutt8pzzz0n48aNM0F1UusBAAAAAEjzQff06dOT1U6z4b169XI+16Bbs9IatP/000+SOXNmk6kuVqyYWf/zzz/Lvffe6/YeLVq0MJnt5Kz3dPnyZXOzREREmHvN0OvNH+l2BQcHmzEFfjmuAAhwDv3bDA726+MIAAAArkru+ZrfBd3JsXPnTlm5cqVbV3INuhctWiQHDx40melNmzbJiy++aDLiDRs2NOs1M+6qQIECcvz4cdNVPan1ISEhbutGjhwpw4YNi7dtJ06ckKioKPFHly5dkpo1a0rRHKESnCHoRm8OAA9xGUMlvGZNU9fCX48jAAAAuOr8+fOSboPuCRMmSJcuXSRHjhzOZZUqVZJChQpJv379nMvKlSsnzzzzjKxevdpUJPcMnPW5w+EwQXVS6z3XDR48WAYMGOCW6S5SpIjky5dPsmfPLv5It3H9+vUS1TpGQsLDbvTmAPAQGxUjW9evN/Up/PU4AgAAgKvCw8MlXQbdmq2dOnWq6ULuqmvXrvHa3nnnnfL888+btL92Pdcq6J5Z6Tx58khYWFiS6z1lzJjR3DyZ7tvB/tl529ltVUTIcwP+J851GIifHkcAAABwVXLP19LcWd3nn38upUuXNt2kXb3++usmo+3q3Llzki1bNrMzdCqw33//3W29dlGvXbu2eZzUegAAAAAAUirNBd2eBdQsV65ckSFDhphAW128eNGM6baqkffo0UNmzJhhCq1ZWezXXntNHn/88WStBwAAAAAgXQfdmnnet2+fGc/t6aWXXpKiRYuaYmiandb5u7UQ2ptvvmnWa3ZcpwVr3ry5VKtWTW655RZ56qmnpEOHDslaDwAAAABASgU5tFKYH9LCZtYc3RYtaKa3hMZYW3Rc9oEDB8yc3bly5Yq3Xl//999/m/m8Exr4ntT6xIqUaWE3zbT7awEkaxsrvjxNQsIz3+jNAeAhNuqSbH21m18fRwAAAJCyGNBvC6m5BtsWrSDuWUXcU968ec3NG319xYoVr3k9AAAAAADpsns5AAAAAABpCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAABAIAXdV65ckYEDB8qnn37qXHbkyBFp3bp1vNuoUaOcbQ4dOiQPP/ywlC9fXjp27Chr1qxxe9/UrgcAAAAAIE0H3T/88IM0bNhQpkyZIjt37nQu37dvn7k99dRTbrc77rjDrD9//ry0aNFCSpQoId9//720b99e2rZtK3///bdP1gMAAAAAkFKh4mdee+01efbZZ2XevHluy48ePSply5Y1gXBCZsyYIcWKFZNhw4aZ56VLlzYB87vvvisTJ05M9XoAAAAAANJ80L169Wpzn1DQXbBgQTlx4oSsWrVKMmfOLLfeequ5tzLkd955p9tr7rrrLunSpYtP1nu6fPmyuVkiIiLMfVxcnLn5I92u4OBg073B77o4ABCH/m0GB/v1cQQAAABXJfd8ze+Cbm806P7zzz9Nt+8KFSrI7t275cCBAzJ//nwzBvvw4cNSuHBht9cUKVLEvM7hcKR6fVBQkNu6kSNHOrPirvSiQFRUlPijS5cuSc2aNaVojlAJzuD+fQDceHEZQyW8Zk05ffq03x5HAAAAIM4hyukq6M6VK5dUrVpV3n//fQkNvbrZzzzzjPTr108WLVokFy9elIwZM7q9Jjw8XGJiYkxGOrXr9bGrwYMHy4ABA9wy3Rqk58uXT7Jnzy7+SLdx/fr1EtU6RkLCw2705gDwEBsVI1vXr5fcuXP77XEEAAAAV3nGiGk+6NYA21PPnj2lVq1aJhNdoEABOXPmjNt6zRblzJnT7IzUrvekAbpnkK5M9+1g/+y87ey2KiLkuQH/E+c6DMRPjyMAAAC4Krnna2nmrG7atGmyffv2eMtDQkLMfeXKlU0W19W6deukUqVKPlkPAAAAAEBKpZlM99q1a0038s8//9w81+z22LFjpU2bNma89SOPPCItW7aU/v37m7HZOh7yjTfekL59+5r2qV0PAACun9q1aye7bePGjWX06NG2bg8AANcqzWS6R4wYYebp1mm9unbtagqCbdu2TcaPH2/W16hRQ1588UVzrxXHK1asaB5rF3RfrAcAwF8dPHhQOnToYGbdSIwGpg0bNpQpU6bEW/fll19K06ZNzbAqnR3kvffeS/A9fN3Om5MnTyb7ltxCNgAA3AhBDk0Z++kJRIYMGcxYa1e//fabCb5LlSolderUiVdVXF+3Zs0aU+Fcq5on9L6pWZ9YkbIcOXLIuXPn/LYAkrWNFV+eJiHhV6daA+A/YqMuydZXu/n1cQT+RYPNzz77TF555RUze4b+z9RZNxKycOFCadu2rakbMHToUPMay4cffii9evUyNUw0QNbhVvp7qAVDx4wZY1s7AADSsuTGgH4bdKc1BN0AUougGynVpEkT+eWXX6Ro0aJmGk1vQff+/ftN763o6Gi5cOGCW9CtgfvNN99sHm/evNn0KNP/aVWqVDHv+ddff0nZsmV93g4AgECJAdNM93IAAOBOp5d77rnnZPXq1V53jU57ee+990qmTJnk1VdfjbdeM+UaKPfp08cEyEpPHDQw1+vymrW2ox0AAIEizRRSAwAA7mbPnm3uL1686HXX9OvXT/78809ZtmyZ7N27N956Xafq16/vtly7hVvZajvaefPTTz+Z2i3XWnRVi6ECAOBPCLoBAEinPv30U5NZfvfdd+W2225LMOg+dOiQub/pppvclufLl89tva/beaMZ+eLFizufR0ZGmkC+YMGCzsz5qlWrTHc+z9oroaGc1gAA/A//nQAASIc2bdokTz75pHTu3DnR6S8vXbqUYMCqxUxds+i+bueNZsh///1353Mtblq3bl3p3bu3mWXEei/NnC9YsCDR9wIAwB8wphsAgHQmKipK7rnnHpMZnjx5cqJtraJnWgTGlfXc6q7t63bJtXv3bnNfpkyZFL0OAAB/QdANAEA6c+rUKdm1a5fs2bPHdMvOli2bufXs2dOsHzFihHmu47ytrtxbtmxxe49t27aZe62MrnzdLrk2bNhg7m+55ZYUvQ4AAH9B0A0AQDqTJUsW07W8R48e8tBDDzlvVnEznb5Ln+sUY/fff79ZNmXKFImNjXW+x6RJk8y9td7X7ZJDK69PmzbNBOq6zd7s2LFDXnjhhSTHiwMAcCMwphsAgHQmZ86cMnHixHjLP//8c1myZIm0a9fOOU+3uvPOO2Xu3LnSqVMnc1u6dKnMmjVLKlSoIO3btzdt9LEv2yUlLi7OTDt24sQJGT16tISEhHhte+TIERk5cqQZ+031cgCAvyHoBgAgwM2YMcPM5f3tt9+am6pevbosXLhQgoODbWvnzdatW8384/PmzTNV15944gm39UFBQW5jxv/44w9zT8ANAPBHBN0AAKRxmTNnNmO4E8sGq7vuusu0y507d7zXz58/X/bt22cC2HLlyplbQp/jy3YJeemll2T48OHicDikTZs28tVXX5nu8q60cvny5cvNuHStkh4REWE+s2LFisn6DAAArieCbgAA0jjN/JYqVSrJdlmzZjU3b7QImusc2dernSutuq5Thg0ZMkSaNm2aYJtPPvnEzEGu3cpVWFiYeV14eHiKPgsAgOuBoBsAAPiNatWqyU8//ZRoG73AMGzYsOu2TQAApAbVywEAAAAAsAlBNwAAAAAANiHoBgAAAADAJozpBgBcd1FRURIdHc2eB/yUFqejMB0A+AZBNwDgugfcxQoXleOnTrDnAT+VP08+2X/oAIE3APgAQTcA4LrSDLcG3O/UekwyhYSx9wE/ExkbLf3XTTJ/q2S7ASD1CLoBADeEBtyZQjOy9wEAQLpG0O1rFy+KhITEX67LwsPd23kTHCySKdO1tb10ScThSLitrnMRHn1ZgiThtg4Jkqiw/06GM165LMHe3levioeFX1PbsCvREuKI803bDBlFgoLM4wwxVyQ0LtYnbaNCw8Sh+1n/YGKuSAYftb0cmkHigkNS3jY2RjLExnhtGx2SQWJDUt42JDZWwmKveG17JSRUYkJCU9w2OC5WMsYk0jY4RGJCM6S4bVBcnITHRPukbUxwiFz5t63+/WS6ctknbWODgiU6w3+Z3EzRUYm2jXRdcCOOEfo3kTnztbWNjBSJ8/73KVmyuLXVV4bGXpHQoPj1PGNC/t2/5nciJtHjSYraBoc6/+7taxsrwYkcp1LSNjY4RBz/7p+UtA2Ki030WHnNbR1xEpLIcUp/hx3/Hqd82TYuKNh5/EtJW/3dDY2L8VHbIInTn52dbf/9m/BFW/1tjXX520hJ2xD9u4y9Yv5G453TXMdjRLLbRkWJxMb6pq1u779/n3L5skhMjG/a6jH433MD0VoWV674pq2eV1o/n5S01XaJ1dTImFEkNDTlbXUf6L7wJixMJEOGlLfVn5n+7LzRdto+pW31d0x/13zRVveB7gulfxMe59zX3DYl8YM/xBqBeIy4mMi+S23Qff78eZk3b54sXbpUNmzYICdOnDDL8ubNK4UKFZIGDRpI8+bNpUmTJhJwChVKeHmbNiLz5v33PH9+739kjRuLLFv23/PixUVOnky4ba1aImvX/ve8QgWR/fsTbJqlXDm3519MeF5KHT+UYNvDOfNJm0ETnM8/+egVqXR4d4JtT2fOJk1f/MT5fPzUEVJ77zavwW69YZ85n4/5YrQ02r4x4e8mIlVHfO18PPzr96XlllVe29YbOt0ZpL/03Ydy14ZfvLZt8sLHciZrDvP4mXnTpMvqH722bf3seDmSK795/PTiGdJ9xfde23bsN1Z231TEPH502bfSa8l/2+/pgd4jZWvh0ubxg7/NlwEL/9svnno+OlTWlaxoHt+z5id54fvJXts+9fDzsqJcTfO4zR8r5LVv/vs5enrm/gGyuPKt5nGzbWtk9IyxXtu+dE9vmVuzqXl8284/ZNyno7y2HdG+p8y8tZV5XGPf3zL546Fe245t9ZBMa3SXeVz+yF75YsJgr20nNuskH7TobB6XPHFYZr87wGvbqQ3by9utHzaPC547KQve6uO17Zd175CRdz1qHue6GCHLRlx9nJA5NRrLy/c+ZR5rwL1qaFevbRdVqifPPjDQ+TyxtsvLVpfe9/W/occIs27r1v+e164tsi3hv2UpVkxk377/njdqJLJuXcJt8+YVOfHf+O3M994r5l/Uuo8SDEpn3NrX+bzx399L4TN7E35fEZle/7/fgQY7FkixUzu9tp1R72lnkF5v909S6riX7yYiX9V5Ui5nuHoyUGvvL1L2nz+9tp1ds6dcDL96PKm2/1epeGS917Zzqz8s5zLnNY8rHVotVQ96P6bNr/KAnMpWwDwud2SD1Ny/wmvbRZU6ybEcV489txzbLHX3LPHadkn5DnI4d0nzuMSJv6X+Lu/Hv1/KtpMDecuYx0VO7ZLG23/w2nZl6Ttkz01Xj1OFzuyTZn9957Xt6pLNZEfBauZx/ojD0nKL92Pl+mINZVvh2uZx7gvHpc2mL7y2/bNIPdlU9DbzOEfkKblz46de224tVFM2lGhsHme5HCEd13s/rm4vUFXWlGpuHmeMiZTOaz7w2nZ3/gry2y1Xj38acN+/6n2vbffnuUWWl2vvfJ5Y20O5SsjSCnc7n3daM9FrQP9P9sKyuPLVY6W6e93HEh6TcMBwMutNsqDqg87nd26cJlkvR0iPhM5prtMxQlq3FvnlF+8nva4nuffcIzJ/vnjlesLftavIrFne21648N8J+BNPiEyb5r3t8eMi+fJdfTxggMgE7/9rZe/eq8dpNWSIyOjR3ttu2SJS8erfkYwYITJsmPe2a9Zc/Rmod98VGTTIe9ulS0Ws8/KPPhJ56ur/sQT98INI27ZXH3/+ucgjj3hv+9VXIp06XX387bcinf/7vYtnyhSR7t2vPv7xR5F27by3HTdOpM+//7dXrBBpevX8I0Fvviny7LNXH2/YIFKnjve2r7wiMvTfc5K//hKpVMl722eeEXnrrauPDxwQKVHCe9vevUXGj7/6WP8f6/9wb7p1E5k69epj/T+fNav3tvfeK/K1y/ExsbZ+EGtwjPBR0K2B9fjx42X06NESExMjDRs2lDZt2shNN90kWbNmlZMnT8qhQ4dk0aJFMnLkSKlSpYoMHTpU7rzzzpR8DAAAAAAA6UKQw5FInzkXGkg/8MADUrZsWRk0aJC0a9dOQhLqRv2vs2fPyqRJk+Sdd94xQfmSJUskZ86ckl5FRERIjhw55NyRI5I9e3a/7PIRcf685ChYUCq+PE1CwjPTvZzu5XQv97fu5bExsvXVbnLu3DnJnsjxNa13C4s4dkwKFigg79d6PMEx3XQvv4ru5VfRvfz6dy+PirksT6/7SI56ntMEYtdRX7Sle/lVdC+/iu7l6eoYYWLAQoWunrslFAOmNOjWruQ6Z2P9+vUlJbTy5WeffWay3dr9PN0H3UnscH/YRivoBuBfYqMu/Rd0++lxxJfHog/r9qGQGuCHImMuyxOrx6f7YxEAXK8YMNndy5smNpYiERqo9+hhRgYBAAAAABBQUl29PCoqSqZOnSqbN2+W06dPx1vfv39/qVu3bmo/BgAAAACAwAq6teu4BtR///231KtXT/LlyydBVj/3fyWz9zoAAAAAAOlOqoLu2bNny549e+TPP/+Uch7TUQEAAAAAEOiCU/Pi/fv3y+23307ADQAAAACAr4PuatWqyYULF1LzFgAAAAAApFupCrq1onlwcLB8+umnvtsiAAAAAADSiVSN6d60aZOcP39eunXrJsOGDZMSJUrEK6T28ssvS8OGDVO7nQAAAAAABFbQnTlzZqlSpYq5eZM1a9bUfAQAAAAAAIEZdFeoUEEmTpzou60BAAAAACAdSVXQrSIjI+WTTz6RjRs3ysWLF+Ot79+/v5nLGwAAAACAQJOqoDsuLk6aNWsm27dvl3r16smqVaukevXqcuLECdmyZYs8/PDDEhYW5rutBQAAAAAgUKqXz5s3T/bu3WuC7vnz50uZMmVk5MiRpsDaqFGjTOZbpxUDAAAAACAQpSro/uuvv6Rly5aSL18+8zw0NFSio6PN40GDBsmBAwdkyZIlvtlSAAAAAAACKejWIFu7klvy588vx44dcz5v1KiRrFy5MnVbCAAAAABAIAbdNWrUkBUrVpjx26pcuXKyYMEC5/odO3aYcd8AAAAAAASiVBVSa9y4sdSvX19q1aplupr36NFDKlWqZALtPHnymAB8wIABvttaAAAAAAACJegOCgqS7777TiZNmiTZsmWTvHnzmudDhw413c61qJoG5gAAAAAABKJUz9OdKVMm6du3r/N5q1atzA0AAAAAgECXqqD7jz/+kOHDhyfaZuDAgWYObwAAAAAAAk1waruXawVz11tISIjs3LlTZs2aZebp1jYAAAAAAASiVGW6q1atKjNmzEhwnS7/8MMPpUqVKqn5CAAAAAAAAjPTnZj7779fcuTIIQsXLrTrIwAAAAAACMygW2nQvXHjRjs/AgAAAACA9Fu93Js9e/bIvHnz5M0337ym10+ZMkUKFizoVgk9MjJS3n33XVm7dq3kzJlTunXrJo0aNTLrTp06JaNGjYr3PtWqVZMHH3zQPNYx5uPHjzevL1++vDz22GNSpEgRZ9uk1gMAAAAAcN0y3evWrZPbb7893q127domaC1QoIDpZp4Su3fvlocfflgef/xxWblypXN5TEyMNGzYULZs2SKPPvqo3HrrrdK5c2eZPXu283UzZ840c4W73nT+cHXlyhW56667zDZrEK4BdtOmTeWff/5J1noAAAAAAK5rpjtz5sxSunTpeMuzZ88uffr0MQF3xowZU/SeGlhrhrlLly5uyz///HOJjo6W6dOnOyui6/0777wjHTt2lKNHj0rlypXlueeeS/B9v/vuOzl79qz8+OOPpsJ6hw4dTHZcM+cjR45Mcj0AAAAAALYH3SdPnjQZZFWhQgWZOHGi+NKOHTska9as8sgjj8Trrt6uXTu3Kch0zHhERIR5rEF3oUKFxOFwyL59+8wFgZtuusnZ9uuvv5b77rvPBNSWrl27Sq9evUxQndR6T5cvXzY3i7UdcXFx5uaPdLuCg4NN9wZbB/MDuCYO/dsMDvbr44gvj0Wix3NmlQT8T1BQQByLACC1knuMTHHQPWzYMJNxHj16tLPrti9pwO3tc11pcP3BBx9ImzZtnEH3sWPHpHr16hIWFiYHDx40Xdx16jINvvfv3x8ve16qVCk5cOCAeZzUek8aiHtukzpx4oRERUWJP7p06ZLUrFlTiuYIleAMnOkC/iYuY6iE16wpp0+f9tvjiC+PRWGl8khoSIYbvTkAPITFXpGasen/WAQAqXX+/Hl7gu477rjDZIB1KrDJkydLixYt5HrTrHKPHj1Md/AhQ4aYZRcuXJAzZ87I0qVLJVeuXObCgI7N/t///idffPGFaZslS5Z4Ab5mq7VAW1LrM2XK5LZu8ODBMmDAALdt0qJr+fLlM93r/ZFu4/r16yWqdYyEhIfd6M0B4CE2Kka2rl8vuXPn9tvjiC+PRdEhdSUklGMR4G+iY6LN32h6PxYBQGqFh4fbE3RrF++//vpLevfuLS1btpQnn3zSVCj3lqH2NZ2CrFOnTtK4cWNZvny56UauxowZ49ZOs90vvPCCNGvWzDzXYNjqAm45d+6cCbQ1oE5qvScdq57QeHXTfVu7TfohZ1cx7Tl2ozcGQDxxrsNA/PQ44stjkTgcV/vUA/AvDkdAHIsAILWSe4y8piOpViXXquFfffWVua9SpYosW7ZM7DZnzhwTRL/88ssmy24F3EoDcO1e7kqvzmq3KP3Hccstt8jWrVvd1msldF2ukloPAAAAAMB1rV5+7733miBYu3DrvWag8+fP79amZ8+eZq7s1NJCatpdfO7cuc7stauPPvrIzOv91ltvOZd9+eWXctttt5krEPpanYZs4MCBZiy6jgnXObmtcdxJrQcAAAAA4LoG3UrHT+uc2Zr1Xrt2reTJk8dt/d133y2+oEXTtDv3lClTzM21gvm4ceNk+PDh0qBBA5Ot1q7nmqXW7PuSJUtMOx17rnOIN2nSxGzTr7/+asZrP/3008laDwAAAADAdQ26d+7cKY8++qisXr3aVPJ+5pln3KbcSg3NOrt2H2/fvr1UrVrV6+D1YsWKybZt20y1cp0yTIPnCRMmuFVY1+nNdB7uNWvWmAx827Zt3T4jqfUAAAAAANgedMfGxsrYsWPN2OpKlSqZCpcVK1YUX9LsuauGDRsm+RoNsDVY90a7mbdu3drcrmU9AAAAAAC2Bt3afbt79+6yadMmE3Q/99xzEhqa6l7qAAAAAACkO6HXMrZaq4GvW7dOKleubM9WAQAAAACQDqR4yrBu3bqZMdwE3AAAAAAA+DjTXatWrZS+BAAAAACAgJTsTPcnn3wiL730khw/fjxFH6DTiHXu3FkOHjx4LdsHAAAAAED6D7p1Duw///zTTM31xBNPyPLly8081gk5ceKEzJw500zb1axZMylZsqTky5fPl9sNAAAAAED66V5epkwZmTt3rpkeTOfk1oBa58jWqcLy588vWbNmlVOnTsnhw4dl+/bt5nnv3r1l1qxZkjdvXnu/BQAAAAAA6WFMd82aNU3wrQH2smXLZMOGDSazfeHCBSlfvrw0b95c6tevL/Xq1ZOwsDB7thoAAAAAgDTgmifYzpMnj9xzzz3mBgAAAAAAfDBlGAAAAAAASB6CbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAD+GHTv2rXLTBsGAAAAAAB8HHTv3btXmjZtKmXKlJG33npLjh8/npq3AwAAAAAgXUlV0H377bfLunXrpGXLljJq1CgpXLiwdO7cWRYvXiwOh8N3WwkAAAAAQCCO6a5Zs6aMGzdOjhw5Ip9//rlcvHhRWrduLaVKlZIRI0bI0aNHfbOlAAAAAAAEaiG1jBkzSqdOnWTevHmyZMkSiYqKkiFDhkjRokWlQ4cOMn/+fImLi/PVxwEAAAAAEDhBd2RkpEyfPl2aNGkijRs3Nl3NJ0+eLHPnzpXY2Fhp3769PP744776OAAAAAAA/F5oat9Ax3RrcD1jxgyJiYmRBx54QMaOHSs1atRwttHu5nv27JGtW7em9uMAAAAAAAiMoFsLpmkRtcqVK5vx2w899JBkz549wbYlS5Y0NwAAAAAAAkWqgu4MGTLIiy++KK+99prvtggAAAAAgHQiVWO6165dK1OnTvXd1gAAAAAAkI6kKujOkyePnD17VqKjo323RQAAAAAApBOpCroffPBBue2226Rbt24SERHhu60CAAAAACDQx3Rv2bJFHA6HzJo1SxYsWGAKqmXNmtWtjc7V3aBBg9RuJwAAAAAAgRV0Z8qUSUqVKmVu3mTJkiU1HwEAAAAAQGAG3RUqVJCJEyf6bmsAAAAAAEhHUhV0q8jISPnkk09k48aNcvHixXjr+/fvL3Xr1k3txwAAAAAAEFhBd1xcnDRr1ky2b98u9erVk1WrVkn16tXlxIkTZrz3ww8/LGFhYb7bWgAAAAAAAqV6+bx582Tv3r0m6J4/f76UKVNGRo4cKZs2bZJRo0aZzHe1atV8t7UAAAAAAARK0P3XX39Jy5YtJV++fOZ5aGioc87uQYMGyYEDB2TJkiW+2VIAAAAAAAIp6NYgW7uSW/Lnzy/Hjh1zPm/UqJGsXLkydVsIAAAAAEAgBt01atSQFStWmPHbqly5cma+bsuOHTvMuG8AAAAAAAJRqgqpNW7cWOrXry+1atUyXc179OghlSpVMoF2njx5TAA+YMAA320tAAAAAACBEnQHBQXJd999J5MmTZJs2bJJ3rx5zfOhQ4eabudaVE0DcwAAAAAAAlGq5+nOlCmT9O3b1/m8VatW5gYAAAAAQKBL1ZhuAAAAAADgw6Bbx29nyJAh2bfZs2en9CMAAAAAAAjM7uWjRo2Sc+fOJbt93bp1U/oRAAAAAAAEZtDdokULe7YEAAAAAIB0JtWF1CIjI+WTTz6RjRs3ysWLF+Ot79+/P9luAAAAAEBASlXQrfNxN2vWTLZv3y716tWTVatWSfXq1c10YVu2bJGHH35YwsLCfLe1AAAAAAAESvXyefPmyd69e03QPX/+fClTpoyZm3vTpk1m7LdmvqtVq+a7rQUAAAAAIFCC7r/++ktatmwp+fLlM89DQ0MlOjraPB40aJAcOHBAlixZ4pstBQAAAAAgkIJuDbK1K7klf/78cuzYMefzRo0aycqVK1O3hQAAAAAABGLQXaNGDVmxYoUZv63KlSsnCxYscK7fsWOHGfcNAAAAAEAgSlUhtcaNG0v9+vWlVq1apqt5jx49pFKlSibQzpMnjwnABwwYcE3v/euvv0qmTJmkZs2azmWxsbFmHPnatWulfPnycuedd0rWrFmv23oAAAAAAK5bpjsoKEi+++47efPNNyVbtmxSunRp83zbtm0ye/ZsU1RNA/OU0OJr1uv0vSwOh0Mee+wxGT58uGTJkkW++OILueOOO5zTlNm9HgAAAACA6z5Pt2aj+/bt63zeqlUrc7tWWgG9QYMG0qFDB7flixcvluXLl8uff/5pgmINktu0aSPvv/++PP/887avBwAAAADguma6r1y54vZcA1UNWn/44Qc5efLkNb3n0qVLZebMmZI9e3a35Z9//rmZ91sDYivL3rt3b/nyyy+vy3oAAAAAAK5Lpnv//v3Sp08fWbNmjRw/ftwsi4mJkXvvvVfmzJljnmvwqsFz27ZtU5zpTsiuXbukXbt2bssqVqxoll+P9Z4uX75sbpaIiAhzr+PZ/bV4nG5XcHCwudKSqqstAGzh0L/N4GC/Po748lgkQUEiQTd6awDEExQUEMciAEit5B4jUxx0nzlzRmrXrm2mBxs1apRz+ejRo2XZsmXy888/m6rmL730knTr1s3M1Z05c2ZJLc2c67hxV5oN1zHXkZGRtq/XbvSudNz5sGHD4m2nTqEWFRUl/ujSpUumMF3RHKESnIEzXcDfxGUMlfCaNeX06dN+exzx5bEorFQeCQ3JcKM3B4CHsNgrUjM2/R+LACC1zp8/b0/QPW7cOBOArl692tkVW7uVT5w40QThzZo1cwbhM2bMMF3NO3fuLKmVK1cuc6Lm6sKFCxIeHm62x+71ngYPHuxWmV0z3UWKFJF8+fLF6xrvL3Qb169fL1GtYyQkPOxGbw4AD7FRMbJ1/XrJnTu33x5HfHksig6pKyGhHIsAfxMdE23+RtP7sQgAUktjRVuCbp1Oq2vXrs6AW2k386NHj8r999/vXJYxY0YzldiePXvEF4oVKxavq/fOnTvN8uux3pN+P715Mt23tdukH3J2FdOeYzd6YwDEE+c6DMRPjyO+PBaJw3G1Tz0A/+JwBMSxCABSK7nHyBQfSXUMd6FChdyWffPNN9KoUSPJkSOH23INzK2xzqnVqVMnkznXseOWadOmyT333HNd1gMAAAAAkFIpDro14PasTK7zaXfs2DFeW80ca5drX7jrrrvMOPL77rtPZs2aJf369TMZdr2/HusBAAAAALA96G7SpIl89dVXzsIas2fPNl3IPYNunfd68+bN0rhxY7kW7du3d3tthgwZ5NtvvzVzeGtmPW/evKZwmwbK12M9AAAAAAApFeTQKmgpoMXFtDp5WFiYVKpUSb7//nszv7UWUlMbNmyQ6dOny4QJE+Shhx6SyZMnSyDQbvTavf7cuXN+W3TE2saKL0+TkPDUV5QH4FuxUZdk66vd/Po44stj0Yd1+0im0Pi1MQDcWJExl+WJ1ePT/bEIAK5XDJjiTHfWrFll+fLl0rx5c/PmQ4YMMRXNLR9//LEsWrRIXnvtNfMYAAAAAIBAleLq5apAgQLy7rvvJrjuvffek9DQa3pbAAAAAADSFZ/PA0HADQAAAADAVUy+CAAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAACAtBN065Xd0dLQv3xIAAAAAgMANumNiYmTy5MlSs2ZNyZIli0yZMkWmT58uzz33nERFRflmKwEAAAAASINSPaF2nz59ZM6cOdK7d2/JnDmzWVa8eHH53//+Jxs2bJDFixf7YjsBAAAAAAisoHvt2rUyc+ZM2bZtmxQqVEh27txpljds2NAsq1SpkixatEhatmzpq+0FAAAAACAwupevW7dOWrRoYQJuT/nz55d27dqZwBwAAAAAgEAUnNrx3HFxcV7XX7lyRUJDU92DHQAAAACAwAu6b731VtN9fMeOHfHWHT58WObPny+1a9dOzUcAAAAAAJBmpSoNXatWLXnkkUekTp060qtXL9m7d6+Eh4ebgHvixInSqFEjadasme+2FgAAAACANCTVfb/fffddqVKlirz11luye/du+f3336VIkSIycOBAU8EcAAAAAIBAleqgOzg4WB577DFzu3z5sjgcDpPtBgAAAAAg0KUq6D5//rzs2bPH6/qgoCBT2Txv3ryp+RgAAAAAAAIv6P7tt9+kVatWSbYrWLCgDB8+3Iz/BgAAAAAgUKSqennDhg3lk08+kcqVK8tnn30mmzdvNmO6X3rpJalZs6Zs3LhRVq1aJU8++aQptPbjjz/6bssBAAAAAEjPme5Tp07Jq6++KqtXr5b8+fM7l9erV0+KFi0qQ4cOle+++07q1q1r5uz+8MMP5Y477vDFdgMAAAAAkL4z3T///LOZq9s14LZ06tTJZLa1uJpq3Lix7Ny5MzUfBwAAAABA4ATdERER5uZtnQbcVtB96dIlyZw5c2o+DgAAAACAwAm6Ncu9ePFiWbZsWbx1b7zxhlSsWFGyZ89uuqGPGzfOjPMGAAAAACBQpGpMd+3ateXpp5+WFi1aSMeOHaVKlSoSFRUlixYtkj///FN++eUX065atWrm/qOPPvLNVgMAAAAAkN4z3Wr06NEyc+ZMOX36tAmqZ8+eLWXLlpUtW7aYgmpKC6ppJfPixYv7YpsBAAAAAEj/mW7LPffcY27e9OzZ0xcfAwAAAABAYAXdkZGRZq5uzWRfvHgx3vr+/fubKcMAAAAAAAg0qQq64+LipFmzZrJ9+3bTlXzVqlVSvXp1OXHihOle/vDDD0tYWJjvthYAAAAAgEAZ0z1v3jzZu3evCbrnz58vZcqUkZEjR8qmTZtk1KhRJvNtFVEDAAAAACDQpCro/uuvv6Rly5aSL18+8zw0NFSio6PN40GDBsmBAwdkyZIlvtlSAAAAAAACKejWIFu7klvy588vx44dcz5v1KiRrFy5MnVbCAAAAABAIAbdNWrUkBUrVpjx26pcuXKyYMEC5/odO3aYcd8AAAAAAASiVBVSa9y4sdSvX19q1aplupr36NFDKlWqZALtPHnymAB8wIABvttaAAAAAAACJegOCgqS7777TiZNmiTZsmWTvHnzmudDhw413c61qJoG5gAAAAAABKJUBd1auVy7l/ft29e5rFWrVuYGAAAAAECgS9WY7lmzZsmQIUN8tzUAAAAAAKQjqQq6ddz22bNnndOEAQAAAAAAHwXdDz74oNx2223SrVs3iYiISM1bAQAAAACQ7qRqTLdOFeZwOEw3c61UXrlyZcmaNatbG+1+3qBBg9RuJwAAAAAAgRV0Z8qUSUqVKmVu3mTJkiU1HwEAAAAAQGAG3RUqVJCJEyc6n2vW+8qVKxIWFuaLbQMAAAAAIHDHdKuYmBiZPHmy1KxZ02S1p0yZItOnT5fnnntOoqKifLOVAAAAAAAEWqZb9enTR+bMmSO9e/eWzJkzm2XFixeX//3vf7JhwwZZvHixL7YTAAAAAIDACrrXrl0rM2fOlG3btkmhQoVk586dZnnDhg3NskqVKsmiRYukZcuWvtpeAAAAAAACo3v5unXrpEWLFibg9pQ/f35p166dCcwBAAAAAAhEwakdzx0XF+d1vRZVCw1NdQ92AAAAAAACL+i+9dZbTffxHTt2xFt3+PBhmT9/vtSuXTs1HwEAAAAAQJqVqjR0rVq15JFHHpE6depIr169ZO/evRIeHm4Cbp1KrFGjRtKsWbNUb6RmzNesWZPgupIlS0rBggXl8uXLpru7p7x580rZsmWdz/UCgXZ5L1++vFSrVk2Cg92vOyS1HgAAAACA5Ep13+93331XqlSpIm+99Zbs3r1bfv/9dylSpIgMHDjQVDD3hYiICHnqqafiLdcAeezYsfLEE0/I9u3b5Y477pDKlSu7tdEx56+99pp5PHLkSBk3bpzcfvvt8vrrr5ug+vPPP3cG1kmtBwAAAADgugXdp06dkpCQEHnsscfMTbPNDofDZLt9KU+ePLJx40a3ZadPn5ZixYpJ27ZtzfOjR49K3bp15eeff07wPTRT/vbbb8umTZukQIECEh0dbbrHf/TRR/Lkk08muR4AAAAAgOtevVy7dj/44IMm2A0LC/N5wO3N5MmTTRa7cOHCzqA7oSrqlqlTp0qPHj1MQK10W5999ln59NNPk7UeAAAAAIDrmum+7bbbZPTo0aYLtgbAmnnu3r27uRUvXlzsohXTP/jgA5kwYYJzmQbdOXPmlOeee04WLlwomTNnlvvvv990S9fu4Vu3bjXjzl3VqFHDzCeuklrvSbP6enPtAm9tW2IV3W8k3S7dF3qlhQ7zgP9x6N9mcLBfH0d8eSySoCCRoBu9NQDiCQoKiGMRAKRWco+RqQq6s2XLJn369DG3PXv2yBdffGEC8FdffVWaNm1qiqzdc889kilTJvGlBQsWmPuWLVu6Bd2fffaZKeDWr18/M7780UcflUuXLsnzzz8vx44dM0G5q1y5csm5c+ckKioqyfWeGXwd/z1s2LB423bixAnT3h/pvqhZs6YUzREqwRk40wX8TVzGUAmvWdMMn/HX44gvj0VhpfJIaEiGG705ADyExV6RmrHp/1gEAKl1/vz5ZLXz2STaWkX8xRdfNLfffvvNBLxdu3Y1AbcG3r40fvx4UzwtSLMk/3r66adN4bYSJUqY59rVXIu8Pf744ybozpo1a7x/HPo8Q4YMkjFjxiTXexo8eLAMGDDALdOtBeTy5csn2bNnF3+k27h+/XqJah0jIeFhN3pzAHiIjYqRrevXS+7cuf32OOLLY1F0SF0JCeVYBPib6Jho8zea3o9FAJBayR1aHerL1PrSpUtNpvubb74xBdV69uzp83m6NaOunzNt2jS35bfccku8thUqVDDTl8XGxsrNN98sBw4ccFu/f/9+E5xr8J7Uek8aiCcUjJvu235a7dzZVUx7jt3ojQEQT5zrMBA/PY748lgkDsfVPvUA/IvDERDHIgBIreQeI1N9JN2wYYOZHkyzvDrV1r59+8y0W//88498/PHHUrRoUfElHcfdsWNHk1F21bp1a5k0aVK8Qm8ajGuF9TvvvFPmzJnjtn727NnSrl078zip9QAAAAAApFSqMt2LFy8246q1S7d24+7WrZutBdQiIyNlypQp8t1338VbpwXTNLOuGfbGjRvLli1bTJfz999/36zv0qWLvPPOOzJo0CB5+OGHZcWKFSYr/+uvvyZrPQAAAAAAKRWc2nHc2tVbi5a98sor8QLuCxcumMJivrJ582YzPrxhw4bx1ul83dOnTzcB+d13322mANPCatZ48ixZspiLBFoYTceaazC9aNEiZ7f0pNYDAAAAAHBdM92lSpUyN09r1qwxXb2//PJLE/z6qpBanTp1zM0b7d6uN290Du4PP/zwmtcDAAAAAJASPquOcfbsWTOWu2rVqlK3bl1Zvny5DBkyxEwdBgAAAABAIEp19XINrjWrPWvWLFPpMjo62nTNrl+/vm+2EAAAAACAQMp0Hz9+XEaPHi1ly5aVJk2ayKFDh0y37N9//92sJ+AGAAAAAOAaMt3vvvuuPPvss2Zea61W3r17d2cBte3bt7NPAQAAAAC41kz3rl27JDY21kwVpnNY2zlFGAAAAAAAARV0v/HGGzJ58mTZunWr1K5d2xROe++99+TUqVP2bCEAAAAAAIESdGfOnNl0KddiaRp4t2jRQl577TUpVKiQ9O7d27TRTDgAAAAAAIEuVVOGVahQQcaMGSOHDx+W6dOnS3BwsAQFBUmRIkVk8ODBsnPnTt9tKQAAAAAAgThPd1hYmHTu3FkWL14su3fvlh49esinn34qZcqUkfnz5/viIwAAAAAACMyg21WJEiXk9ddflwMHDsjcuXNNlXMAAAAAAAJRiqcMS66QkBBp3769XW8PAAAAAEDgZboBAAAAAMBVBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbBJq1xsDAAAAQFpy5swZ2bFjR7LblypVSvLmzWvrNiHtI+gGAAAA4DOXLl2SnTt3el1fuXJlCQ7+r8NtVFSUrF27Vg4dOiS33nqrFC9ePMHX+bpdQpYvXy4dOnRIdvupU6dKt27dkt0egYmgGwAAAIDPrFy5Ulq2bOl1/YULFyRLlizm8fr166VVq1Zy8uRJ5/ru3bvLxx9/LCEhIc5lvm7nTcWKFWX06NHJ/q61atVKdlsELoJuAAAAAD5z9OhRc3/XXXdJ+fLl463PkCGDuT927Jg0a9ZMLl++LK+99pqUKVNGJkyYYLLHOXPmlLffftuWdokpXbq0DBw4kN8G+BRBNwAAAACfB919+/Y1QbA3H374oURERJgA+cUXXzTLNENeoUIFmTRpkgwdOlRy5Mjh83bA9UbQDQAAAMDnQXehQoUkMjJStm/fLnny5JEiRYq4tZs5c6a579Gjh3OZZqQ7duwo48ePl/nz58v999/v83beaNf0ffv2pfj7aiDfokWLFL8OgYOgGwAAAIDPg+7PPvtMxo4dawJvVbVqVZk+fboppKb2799vgmINzl1ZXdIPHDhgSztvPvjgAzP2O6WqVasmGzduTPHrEDgIugEAAAD4zJEjR8z9tGnT5LnnnjNB8IIFC+Tbb7+V9u3by7Zt2+TKlSty8eJFKVasWLzXZ8+e3dwfPnxYzp0759N2ienZs6c0adLE+XzOnDny9ddfyyuvvCK33HKLCazHjBkjjzzyiDRv3tzZLleuXCnYOwhEBN0AAAAAfKZTp04meH3sscekaNGiZpk+btu2reniPWvWLNPNOygoSKKjo+O93lqWNWtWyZw5s0/bJaZevXrmZvn999/N/aOPPiqFCxc2WXQNuuvWrSsPPvhgCvcKAhlBNwAAAACf0QJqCWndurUJuv/66y9Twfymm26SU6dOSUxMjISG/heWHD9+3NxroOvrdimxa9cuyZQpk9x8880p3AOAu/9mpQcAAACAVIiLizNTbg0ZMiTeuvPnz7t1x65evbrJQq9ZsybePN/WGHA72iWHdlf/9ddfpVKlSiaDntic40BSCLoBAAAA+ERwcLD89ttvMmLECDMm2qJVwceNG2cC2KZNm5plffr0MfeDBg0y2Wm1aNEikw2vUqWK1K9f35Z2yaFF1XSM+OOPP55oO52erGzZsmaMOuAN3csBAAAA+Mz7778vjRs3lg4dOkipUqVMt27NPmsVc50/u3bt2qZdmzZtpHPnzvLVV19JwYIFpWTJkrJ27VrJkiWLvPfee87383W7pGgF8xdeeEEKFCggDz30UKJtT58+LYcOHTLd2wFvCLoBAAAA+EytWrVMsDt8+HBZtWqVGRutWeb+/fubYmoWzXrPmDHDTCGm2WitLq5F2J599lnzHna182bp0qUmQ//TTz+ZgFvvw8PDneu1kJr6/vvvTVE2zW7r55QuXZrfHiQqyOFwOBJvguSIiIiQHDlymPEf1rQE/rqNFV+eJiHhmW/05gDwEBt1Sba+2s2vjyO+PBZ9WLePZArNeKM3B4CHyJjL8sTq8en+WAS40gBax4TrdGaaoR89erTJlLuKjY01c3Jv2bLFbfmoUaPM1GgIPBHJjAHJdAMAAAAIaNo9/IsvvjDZcs2UJyQkJEQ2b94sO3bsMF3lraJw1rRoQJoPujUhr1cSEvoD0Xn5XK9S6RUq7eah4zc8pXY9AAAAgPRHi60lR5kyZWzfFqQvaaZ6uc7nlzt3blOIwfXWu3dvZ5tvvvlG8ubNKz179pRChQrJq6++6vYeqV0PAAAAAEC6zHQfPXpUGjRoIL/88kuC63fu3GmCZZ1PT7uEnDp1yozL0Ln1OnbsmOr1AAAAAACk20y3Bt1a+t+byZMny4MPPugcg5EnTx55+eWX5aOPPvLJegAAAAAA0nWmW4Pu6dOny8KFC8047i5dukjz5s3Nep2WoHv37m6vufXWW+X555/3yXpPly9fNjeLNd48Li7O3PyRbldwcLC50pJmrrYAAUSnktC/UX8+jvjyWCRBQSJBN3prAMQTFBQQxyIVFRUl0dHRN3ozAHgRFhbmNm2bv0nuMTLNBN3//POPCbi1uFm3bt1k9+7dJuh+5513TIZag3LNTrvS8dnaTVwPpqldrz9wVyNHjpRhw4bF284TJ06YA7g/unTpktSsWVOK5giV4Ayc6QL+Ji5jqITXrCmnT5/22+OIL49FYaXySGhIhhu9OQA8hMVekZqx6f9YpOd3j/boLmcjLtzoTQHgRc7sWeXjT6bGi8X8xfnz59NX0N2+fXtp27atNGvWzLlM50TTYmcadGsVc507z5U+1yu1Wt4/tes9DR48WAYMGOCW6S5SpIjky5fPb+e01G1cv369RLWOkZBw//zFBQJZbFSMbF2/3hSN9NfjiC+PRdEhdSUklGMR4G+iY6LN32ggHIt+XvqLbH5JJJv/JtKAgHU+SqTya2KOQ/56LEpuFj7NBN1NmjSJt6x+/fqya9cuExxrtXHNVrvS5/nz5zdBc2rXe8qYMaO5eTLdt7XbpB9ydhXTnmM3emMAxBPnOgzET48jvjwWicNxtU89AP/icATUsSh7uEj2cM6MAH8TJHos8v/4KlntJI149NFH5fvvv3dbtnfvXhMsa1CsY7t/+uknt/U//vijMzOe2vUAAAAAAKRUmgm669SpI88995z89ttv5qrk9u3bpW/fvtKvXz+z/uGHH5bly5fLp59+KleuXJEVK1bImDFj5Omnn/bJegAAAAAAUirNdC9//PHHTTEPLZ6mxcoKFCgg//vf/5xBsXYDX7RokfTq1Ut69+4tpUqVkilTpki9evV8sh4AAAAAgHQbdCvNbOtNx3AnNM66SpUqsnLlyv+mo/HxegAAAAAAUiJNRpYJBdyukgqYU7seAAAAAIDkILoEAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwSZoMui9evChxcXHX/PrIyMhUrQcAAAAAIN0F3StWrJBKlSpJ8eLFJVeuXPLEE09IVFSUWbd7924pWLBgvNuTTz7pfP2aNWukSpUqUqBAASlZsqR88cUXbu+f1HoAAAAAAFIiVNKIQ4cOSbt27WTGjBnSpk0biYiIkHvvvVdefvllefPNN836woULy3fffef2ukyZMpn7o0ePStu2beXDDz+Uu+++W/744w+5/fbbzWsaNWqU5HoAAAAAANJtpluzzk2aNDEBt8qePbs89dRTsmDBAvNcg+ZixYrJzTff7HbLnTu3WT916lRp1aqVdOzYUYKCgqR69eoyePBgGT9+fLLWAwAAAACQbjPdt9xyi5QvX95t2YEDByR//vzOoLtQoUKyatUqWbx4sWTOnFnuuusuKV26tFm/bNky6dy5s9vrmzVrJm+99Vay1nu6fPmyuVk08650rHlqxpvbSbcrODjYXGlJM1dbgADi0L/N4GC/Po748lgkQUEiQTd6awDEExQUUMciPfbGcTAC/I5DHKKnC/58LErudqWZoFu7fLvav3+/vP766zJhwgRn0D1//nz5559/pEGDBmaMd61atWT27NkmeNb1N910k9t76NjtEydOSExMTJLrQ0Pdd9XIkSNl2LBh8bZT21vjzP3NpUuXpGbNmlI0R6gEZ+BMF/A3cRlDJbxmTTl9+rTfHkd8eSwKK5VHQkMy3OjNAeAhLPaK1IwNnGPRuawiVzgUAX7nUqhIzZri18ei8+fPp6+g29WPP/4o3bt3l6efftp0B1c1atSQUqVKmeJqFs1yDxo0SNatWyexsbGm27grfe5wOMwtqfWetOv5gAED3DLdRYoUkXz58pmu7/5It3H9+vUS1TpGQsLDbvTmAPAQGxUjW9evN8Ni/PU44stjUXRIXQkJ5VgE+JvomGjzNxoox6IcHUWyhZOMAPxNhiiHrF8vfn0sCg8PT39Bt6bvX3rpJTP++rPPPpPmzZs713Xp0iVeex3/PXDgQBNQa9fzkydPxstK582bVzJkyJDkek8ZM2Y0N0+m+7b2g/BDzq5iekHhRm8MgHjiXIeB+OlxxJfHItELmvGvaQK40RyOgDoW6TlRMGdGgN8JEj0W+X98lax2kob07NnTjNdeu3atW8CtXnnlFVm5cqXbsjNnzkjOnDklJCRE6tWrF2+9TkFWt25d8zip9QAAAAAApFSaCbrnzJkj33//vRm3rVlpTzrm+oUXXjDZaavLkHYB79q1q3neo0cP+eqrr2T16tXm+ZEjR+S1115zzuOd1HoAAAAAAFIqzXQv14D71KlTZsy0Z7EzLYKmAbfe67zaZcqUkcOHD5su5yNGjDDtSpQoYeb4bt++vRkXcOzYMTPHt87NnZz1AAAAAACk26D7448/NjdvtAu5VjIfNWqUHDp0SIoXL26mDXPVunVrE0zv2bNHihYtGm+sdlLrAQAAAABIl0F3cmlluwoVKnhdrxXJtcr5ta4HAAAAACDdjekGAAAAACCtIegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUE3AAAAAAA2IegGAAAAAMAmBN0AAAAAANiEoBsAAAAAAJsQdAMAAAAAYBOCbgAAAAAAbELQDQAAAACATQi6AQAAAACwCUG3i3379knnzp2lRIkS0qZNG1m5cqVd+x0AAAAAEAAIuv917tw5adGihVSrVk1WrFghXbt2lbvuuku2bNlyY39CAAAAAIA0i6D7X1988YWULVtWXnjhBSlcuLDcf//98sQTT8h77713Y39CAAAAAIA0K/RGb4C/mD9/vrRt29ZtWfv27aVTp04Jtr98+bK5uWbK1dmzZyUuLk78UUREhAQFBUlMxGlxXI680ZsDwEPs5UjzN+rPxxFfHovOXLkokbFXbvTmAPAQFRcdUMeiI+dEIqJu9NYA8HThcpAEBfl/fKUcDkei7YIcSbUIEDVq1JBXXnnFdCm3HDp0yIzv1uA6ONi9U8DQoUNl2LBhN2BLAQAAAAD+4uDBg6a3tDdkuv8VGRkpYWFhbjsnY8aMEhMTI1euXDGPXQ0ePFgGDBjgfK5XX06fPi158uQxV02B63FlrUiRIuaPPHv27OxwADcMxyMA/oBjEa43zV+fP39eChUqlGg7gu5/FShQQM6cOeO2c06dOiW5cuWKF3ArXea5PGfOnKn/yQEppAE3QTcAf8DxCIA/4FiE6ylHjhxJtqGQ2r+qVq0q69atc9s5a9eulcqVK9vz0wEAAAAApHsE3f965JFHZOrUqbJ//35nd/ORI0ea5QAAAAAAXAuCbpdM9/Dhw01BtQ4dOkiZMmWkUaNG0r1792vasYDddHiDFv9LaPgDAFxPHI8A+AOORfBXVC/3cPz4cdOtvEKFCqZyOQAAAAAA14qgGwAAAAAAm9C9HAAAAAAAmxB0AwAAAABgE4Ju4AbUDZg+fXqC6yZNmiTR0dHJep8TJ07IxIkTzePt27fLnj17vLbVqvxTpky5xi0GkB5dvHhRvv322wTX7dq1SxYsWOD1tQ6HQ9577z25dOmSef7bb78l2t71M996661UbDWA9OLTTz8150QpsWHDBlm2bFmS7c6fP+/2XM+RZsyYkaxjFGAHgm7gOjt69KhMmDAhwXUvv/yyma4uOfQflfU+O3bskNatW8f753Xy5EkTcJ89e1YGDBhg2unzAwcOyI8//ihFihRxu3nOVQ8g/Zo/f7588MEHzud6XLBm7Pjzzz/NCbF67bXX4l20++KLL8zx5/Tp03L48GETfD/99NNy6NAh89y6xcXFmfYRERHm2GNdLFy8eLF5rrd9+/bFOxZNmzbtuu4LANefXoD7559/UvSaJUuWyDfffJNoGz3u6DlRq1atZMWKFWbZoEGDZMyYMTJs2LB4NyvQPnbsmFSuXNkZ1OvUwTfddJMULFjQ3AoUKCD58+d3Pm/RosU1f3cEntAbvQFAIDt48KA5ebVcuHBB3n77bcmUKZN5fscdd0i1atWSfJ/27dubzJSeMOuJtOXNN9+U77//3jzWfxZ33XWXeZw5c2YT4N92223m8/WKsFbrL1u2rA3fEoA/0iz3r7/+ak4erUB7586d5oKcRS/kffTRR2adRQPsl156yRwzHnvsMbNMLxbqBUXruWXmzJmSPXt2c5KsxyNrSp++ffs623z44YeSJUsW2bp1q3lepUoVqVSpks3fHsCNduXKFQkLC0vRa2JiYpJ8TXBwsAm2Fy5cKOHh4fLiiy+aC4J6YVCXawKiZ8+e5pxLj2UvvPCCeZ0G2HoO1bFjRxOk67FO7wcOHGjWf/bZZ7Jq1SoZN25cKr41AhVBN3Ad6Tzwe/fuNQf6fPnyybvvvitRUVFubS5fvixBQUHmcWxsrLk/cuSIyRC50iBbT3Stk+GmTZtKyZIlzfPSpUubk1g9yS1evLh07txZ8ubNa9rp3N6PPPKIaaf/mEJCQmTRokXSrFkzyZYt23XaEwBuJM1C//LLLybTbP3dazA8duxYc1JZuHBhs+zvv/+WIUOGSO7cuZ3HpPvuu88cx7R7uXWBULNVGrA/88wzzs/Q45AG3EqPOXoM0vetXr26czhN+fLlTWZbj3l6LNKTYT0m1qxZ87rvEwDXjw5R0UA4Q4YMibabPHmyuTho+eOPP8xxSI8prgoVKiTDhw93PtdjSoMGDWTlypXmfEsvJurxSIf36fHs4YcfNhcF77zzTrdtKFeunPz000+yZcsW2b17t/PC4HfffWeOh3pupVl014uKQHIQdAPXkZ7M6j8Mvdq6fPlyc7XWCrCVdvV8/vnnJUeOHG6vmzVrlnz99dfO5+fOnTPjuPWfVt26daV27dpu7bXbp3aRUnoirN1EtXu5nihrN1G96uuaufryyy+lS5cuNn5zAP5ET067du1qLvLpTQNe7Q2jmRzNJM2bN8+MgcyZM6dpryebejLar18/01aXa8bIyjjpEBa9COg61lLXFStWzPlcu6LrcUyPR1q7Qrt16lhwPY65Hos0qAeQvmnArd269RhQqlQpr+30XCZr1qzO53pOo8uaNGniXKZDVL766iu3oFvPcR566CFze+6558znPf744+biYp06daRNmzYmMXH33Xc7X6PbsmbNGunfv78J4q2u6Xr80+SFBugW/XzN1APJRdANXEd6EqoHfM0w673S4Ns66dQTUb2iq/9gNIOk/xiUdsV07Y7Zu3dvE2ivXr3atBs/frzpkulJu1bpSa8G4fpPTU949XXafUpPrNWpU6fMGCk92QYQGOrXr2+GlWjvG+1+qffa3fzjjz82xwvNEFl0XOO9995rgm69yKdDYPSENDQ01NyU3usFROu5ssZzq99//90cq+bOnWu6muvFRx0buXHjRpPptuhY7qTGawJI+zZv3mzOdfSYoBcAvdHzIOtcSGkPwQceeEAaNmzoXKbnQtZQOqt3oAbIeqzS4FiH0unwF+tcSi8c6vmRJkC052GfPn1M5lx73rz66qsmiNdeP640YaHnSq69hYCUIOgGbgDNCL3xxhvSqFEj091706ZN5p+C3jTbfebMGZM50u5NnnTco1bg/OGHH8wV2WeffdaMz9auT550mWbFtaumZpCswF8fd+jQwTzXrlEakK9fv97tnxiA9OvBBx8099pjRruB60mnRY9LGohbXIutuZ4c6wU8q3u5FiDSrpb16tVzrre6qCvtyq6ZJ+2WqT13lNaQ0GORVbxN6TFQu4Mmp5YFgLRLL/C9/vrrprCiFn21hsAlRhMUmnWuWLGi23Ide20di5ReFNQheHqOpBf82rZtK1WrVjUXBjXYtuj5kwba1lC+XLlymXMrrU2hx0a9MGldFNSMub6PaxV1ICUIuoHrRLM+P//8s8nkaPco7ValxYK0iq8e9D/55BMz7khpVyhrDKUnLeihQbbV7VO7POk/LT3h9eyWqRkrDeA96Zgkq1iSjmXSbdL30eDfNVMFIH3Sk1HtOqkX2zSro+OotSCj6tGjh+mNY7EKnHnS44Z1vNDjmVYo1xNpVzpcRi/66b12L3ftSq40uNcTbsv7779vgnm9KHjzzTf79DsD8A86Vlpryeh4bT1H0RkSNIOdnOOWBtSe50d67LHOiSx6bqM1JvLkyWPOrTQI96S9arS3zS233OJcpsc0a7YGzZi3bNlS/vrrL9Mb0OpurjRzDqQEZ9fAdaJXUjW7rd04tSu4dmGyPProozJixAjTFUrHXevBPaETXf2npCeu2j1Kr/ZatLqwFkKrUKGCcyy3VR1ds1iuGSftTq7TdOj4TYsG//pPSTNMjRs3tmkPAPAXOrxEA229tx5b3cH1ZNga/qJuv/32eK/Xk08rO5SYokWLOh9rjxrtWWMF9JpF6tSpkwnILXrirGMtNRuu48cBpC96nNEx01qgUTPL//vf/0wW+sknnzQJiMRoLz9NEHjSwF3fKyFanVyHxSjtlq69C62ZWlwLtLnSbdM2Gljr+dPgwYPNZ2jwrRcIdNYXrY3jGegDiSHoBq4TveqqFTG1i6Xr1VIre61XUzV41qkodIy258F81KhRZrkWY9PxSK70Kq1mu7Xrk4450kDbov8wNJC36BimhGg7vfpM0A2kf9ZwFs0ye3Yv14y36zFGM0GeNFDWoSuJ0aDZsxuo9qaxCkVqlmvdunVej0UA0h8NaDUhoF27lR4PdP5sPe5oV3Crx58nHbetRRi1HoQnDY51uq/E6MVFHfetx53EaFd1zXTr52iArj1udHiMBt21atUyU67q+ZwG31ZGHEgOgm7AD2h3Js2C69VYDb6t+bQtekVVD+7aJdxbl8t27dqZaXt0XLYWJvGsaO6NTp+hGW4d56T/YAAEJi3kqN555x23TLdOreNJjxl6gc/bdDk6BCalhYaWLl0qs2fPljlz5iSrqymAtEWLk2kdB008uA5lu+eee8wYaS1+poVePbPW2sNPj0OalHDtPWPRnn8J9cjRQm3WBcSpU6eanoYaVFsFbTVh4Tnntwb22nNQ6+roNmr3dE1qaG0LLbqmdHpWLQSngTn1J5BcBN3AdabT83iORdIDut50PKReiW3evLn552QdzLXrp45lSmqMo3ZT138yruMm9Z+Vdt+y6D877U5u0S7p2l67T7lO7wMg/dMTS50mR2tC9OrVy9kN3DXotiqTezpw4IDbVD6utOt4QvQ4Y723Fop07ZWjJ7J6zNPjmHY3BZA+6HlOz549TQ0J7fHnOuTNotN9aY8bDYx1+i8rcaDnLFr4UQNz7R7uSbPmOjZbpyD0pDVz9FikvQg1ebFgwQLTa1BnctGpwjTR4Dp7gp4L6QU/TXJoV3YtnqbnZFrkTY+Lrll2rb2j2+w6nSuQGIJu4DrSsdiahbYqB3/++ecyaNAgUwBNu1nqgV2LGFlz1erYJe3CNHr06GR/hud823oV1/VKrF6ddaVFjvQGIPDoBT3N9ujJY/Hixc3xx6KZoUmTJpn6EgkFwTqu0TNLZNGxj3rx0JPWnNDumcqze7pe9NMTcwDpi/bk0+7dms1ObBy0DqHTALlbt25mKIpe2NO6D1oUtmPHjm5tdVy4DrfTIXt6oU6PXxbNSOs5lA6t0yKPTZs2NcG+1tPR8x0NmPU8S8/JTpw4YbLbOk2i9uDR45POwqB1d9577z3zfvpYt0FfY80prhcBPIf6AYkJcniWEgVga1ZJ//FYU2NoFlrHBmXLli1eWy1SpO21a1NCtIuUTmlRvXp1r5+nn6X/tDSDZNGpfTTTpMVM9J+NVVAEALRHjWaYNLOtQfGhQ4dMMOyZ0daMkXbn9DbbgZ4w63GtRIkSzmU6a4OesFqF1PT9NejXk3AN7DXDBSB9Dl3xdoEuqfaaJU9oGMvx48fNOGutZJ7QOPBt27ZJ/vz5k5yKTM+jNGC3euDocUnHmes5lnWB0Mqo62fqBUhmecG1IOgGAAAAAMAm/03ECQAAAAAAfIqgGwAAAAAAmxB0AwAAAABgE4JuAAAAAABsQtANAAAAAIBNCLoBAAAAALBJwhNsAgCAG+b8+fNmnllXefLkkZIlSzrnuQYAAGkD/7kBAPAzmzZtknr16kmjRo2kSZMm0rhxY7nlllskS5Ys5rlnQO5Pjh49KiNHjhR/46/bBQBI/wi6AQDwUxpcR0ZGSlRUlJw6dUp+/vlnyZEjh9SsWVO+//578Udz586V9957T/yNv24XACD9I+gGACANyJ07t9x2220yZ84c6d69u/Tr10+io6PjtdMg/cSJE0m+3/Hjx+XKlSuJtomIiJADBw5IbGys1za6DYcOHRKHw5Gs76Htjh07Fm+5XlS4dOmS19cl93v9888/cvny5WRtCwAA1wNBNwAAaczQoUPl4MGD8sMPPziX7du3z3RDz5YtmxQsWFBuvvlm+fjjj53rP/vsM6lTp46sWLHCdFXX9dq2U6dOcu7cObf3//XXX6VatWomq166dGnJnDmzCfKtYFbfq2zZsrJ06VIpVKiQFClSxFwIyJcvnwwcONAE1fpYbxcvXjTtS5UqJbNnzzbLdPuKFi0qP/30kwnYdbvy589vtkffx/ViQHK+l763brPe6/ZoN/xu3bqZHgJ79+71ul0AAFwPBN0AAKQxN910kxQrVkx27Nhhnp89e1bq1q0rJUqUMGOXNSusgenzzz8vH330kWmjAfP27duld+/e8umnn5rnf/zxhwlqW7Vq5Xxvff0dd9whlSpVkt27d5t2y5Ytk+nTp8vYsWOd76XBco8ePWTYsGEmkO/Tp48Jovv372+y8vpYb5kyZTLt9+/fLxMnTjTj1TWD3rZtW7n33nvl7rvvltGjR5s2ixcvlq+//lrGjRuXou+lFyB0mV6E0EBb3+PLL7803ck1SPe2XQAAXA8E3QAApEGaKdaAWb3xxhuSPXt2E5BqFjdDhgzSunVrExCPGDFC4uLiTDsNdjXAvfXWW00V9HLlypkAde3atTJv3jzTRrtw/+9//5MPP/zQVEsPCgoy7bt27SoLFixwfr52BX/llVdMsN2gQQOTra5atarJeuvn62O9WdXWtYu6vqdmorNmzWqKmmmGvWXLlqZgXGhoqDRr1kw6duxoguKUfC/NjGugXr58eQkLCzOB/H333Sc//vijeZ7YdgEAYDemDAMAIA06c+aMydyqlStXmi7jWmjNVUhIiMkwa1ZaadB5++23u7UpXry4CVZXr15tss9VqlQxN33NL7/8IocPHzbjtrWbtmabXd/7/vvvT/b2aqCtQbwlZ86cptu6dl93pUH533//naLvpe+j3eFdlSlTxnwnAABuNIJuAADSGM3w7tq1ywSWVvEw7Vb9+uuvx2urWWgN0FWuXLkSzPDmzZvXvIeKiYmRRx991GTAGzZsKIULF5bw8HBT6MyVBs0ZM2ZM9jZrJtuTbovn9rg+T+730my2J73AYGXCAQC4kQi6AQBIYz755BPTpVrn7Lay1Tp2ecqUKW7tNIDWLtwabK9bt850HdcgVoNoV5rNbtGihXn81ltvyfz58810ZTpu3KJjpr/55hvnc+12brfkfi8AAPwZA5oAAEhDdOz14MGDZcCAASYoVRowaxExHbPtSsdmu3a71um6PANY7YK9c+dOZ7dzHd+tY7hdA+7Tp0/LzJkzk7V92vVbg2JfSO73ut7bBQBASpDpBgDAT40fP17y5MljuknrfNmbN282md1nnnnGFDGz6HReWpG8efPm8sILL5iiY4sWLTLVwmfMmOHssq3TbmmRMq0CrnN+b9myxbTXImlaCE1ptXDtzj1p0iSpV6+eaTNq1CipWLGiqX6eFH39yZMnzftWrlw5ReO+PSX3eyWHL7cLAICUIOgGAMDPaIG0Dh06mOJlelMFChSQBx980ATDGjS60rHVmrHW+bu1qreOv9YgWaf60rHPrtlenfpryJAh0rNnT1MZXDPmgwYNcrbRgF4rk7/99ttmLmvNKGvV8QsXLji7l2sWXKuIJ0S3TV+rRdD09Rrcanst0uapXbt2pgq7qwoVKjjn6U7O9/L23lqAzeoy7227AAC4HoIc2tcMAACka5MnTzYBtVV8DAAAXB+M6QYAAAAAwCYE3QAAAAAA2ITu5QAAAAAA2IRMNwAAAAAANiHoBgAAAADAJgTdAAAAAADYhKAbAAAAAACbEHQDAAAAAGATgm4AAAAAAGxC0A0AAAAAgE0IugEAAAAAsAlBNwAAAAAAYo//A1P/I8dVmXN6AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "分析结果：\n",
      "## 📊 分析结果\n",
      "\n",
      "### 部门平均薪资排名\n",
      "\n",
      "| 排名 | 部门 | 平均薪资 | 与整体均值对比 |\n",
      "|------|------|----------|---------------|\n",
      "| 🥇 1 | **技术部** | 18,000 元 | +30.4% |\n",
      "| 🥈 2 | **销售部** | 14,000 元 | +1.4% |\n",
      "| 🥉 3 | **人力资源** | 5,000 元 | -63.8% |\n",
      "\n",
      "### 🔍 业务洞察\n",
      "\n",
      "1. **技术部薪资最高**：平均 18,000 元，符合市场规律 —— 技术岗位属于核心生产部门，对专业能力要求高，企业愿意支付溢价来吸引和保留技术人才。\n",
      "\n",
      "2. **销售部处于中游**：平均 14,000 元，略高于整体均值。销售岗位的薪资结构通常包含基础工资 + 提成，本表只统计了固定薪资部分，实际总收入可能更高。\n",
      "\n",
      "3. **人力资源薪资明显偏低**：仅 5,000 元，是技术部的 27.8%，差距高达 260%。可能原因：\n",
      "   - 该岗位为初级/助理级别\n",
      "   - 后勤支持类岗位的市场定价本就低于业务部门\n",
      "   - ⚠️ **需关注**：是否存在薪资偏低导致人才流失的风险\n",
      "\n",
      "4. **建议**：\n",
      "   - 关注人力资源部门是否有晋升空间设计不足的问题\n",
      "   - 建议对比同行业薪酬分位数，判断各部门薪资是否具有市场竞争力\n",
      "   - 由于样本量仅 5 人，结果仅供参考，建议扩大数据后再做战略决策\n",
      "\n",
      "> 💡 **提示**：当前样本较小（仅 5 名员工），如需更可靠的分析，建议补充更多员工数据后再做横向对比。\n"
     ]
    }
   ],
   "source": [
    "response = visualization_agent.invoke({\n",
    "    \"messages\": [{\"role\": \"user\", \"content\": \"画一个柱状图，展示各部门的平均薪资对比\"}]\n",
    "})\n",
    "final_msg = response[\"messages\"][-1]\n",
    "print(f\"\\n分析结果：\\n{final_msg.content}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "580ded8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "分析结果：\n",
      "## 📊 分析结果\n",
      "\n",
      "### 各产品类别库存总量\n",
      "\n",
      "| 产品类别 | 库存总量 | 占比 |\n",
      "|---------|---------|------|\n",
      "| 电子产品 | 1,900 件 | 86.4% |\n",
      "| 办公用品 | 300 件 | 13.6% |\n",
      "| **合计** | **2,200 件** | 100% |\n",
      "\n",
      "### 🔍 业务洞察\n",
      "\n",
      "1. **库存结构高度集中**：电子产品的库存（1,900件）是办公用品（300件）的 **6.3 倍**，占总库存的 **86.4%**。这说明公司业务重心明显偏向电子产品线。\n",
      "\n",
      "2. **电子产品内部细分**：电子产品下涵盖 3 款商品（笔记本、机械键盘、显示器），其中**机械键盘库存最高（1000件）**，是主要的库存贡献者。\n",
      "\n",
      "3. **风险提示**：\n",
      "   - 电子产品库存占比过高，若该品类销售不及预期，**库存积压风险较大**\n",
      "   - 办公用品仅 1 款商品（办公椅，300件），品类过窄，建议**考虑扩充办公用品的产品线**\n",
      "\n",
      "4. **建议**：可结合订单数据进一步分析各品类的**周转率**，判断高库存是否合理，以及是否需要调整采购策略。\n"
     ]
    }
   ],
   "source": [
    "response = visualization_agent.invoke({\n",
    "    \"messages\": [{\"role\": \"user\", \"content\": \"计算每个产品类别的库存总量，用水平条形图展示，并标注具体数值\"}]\n",
    "})\n",
    "final_msg = response[\"messages\"][-1]\n",
    "print(f\"\\n分析结果：\\n{final_msg.content}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "09a57886",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "findfont: Failed to find font weight bold, now using 600.\n",
      "findfont: Failed to find font weight bold, now using 600.\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================================================\n",
      "Agent 生成的第 2 段代码：\n",
      "============================================================\n",
      "\n",
      "# 数据探索\n",
      "print(\"=\" * 60)\n",
      "print(\"产品表基本信息\")\n",
      "print(\"=\" * 60)\n",
      "print(products_df.head())\n",
      "print(\"\\n字段类型：\")\n",
      "print(products_df.info())\n",
      "print(\"\\n基本统计：\")\n",
      "print(products_df.describe())\n",
      "print(\"\\n产品类别分布：\")\n",
      "print(products_df['category'].value_counts())\n",
      "\n",
      "\n",
      "--- 执行结果 ---\n",
      "执行成功：\n",
      "============================================================\n",
      "产品表基本信息\n",
      "============================================================\n",
      "   id product_name category   price  stock\n",
      "0   1        笔记本电脑     电子产品  6999.0    500\n",
      "1   2         机械键盘     电子产品   399.0   1000\n",
      "2   3          办公椅     办公用品   499.0    300\n",
      "3   4          显示器     电子产品  1200.0    400\n",
      "\n",
      "字段类型：\n",
      "<class 'pandas.DataFrame'>\n",
      "RangeIndex: 4 entries, 0 to 3\n",
      "Data columns (total 5 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  -----\n",
      "\n",
      "============================================================\n",
      "Agent 生成的第 4 段代码：\n",
      "============================================================\n",
      "\n",
      "import matplotlib.pyplot as plt\n",
      "\n",
      "# 设置中文字体\n",
      "plt.rcParams['font.sans-serif'] = ['SimHei', 'PingFang SC', 'DejaVu Sans']\n",
      "plt.rcParams['axes.unicode_minus'] = False\n",
      "\n",
      "# 按类别计算平均价格\n",
      "avg_price_by_category = products_df.groupby('category')['price'].mean().sort_values(ascending=False)\n",
      "print(\"各产品类别的平均价格：\")\n",
      "print(avg_price_by_category)\n",
      "\n",
      "# 绘制饼图\n",
      "plt.figure(figsize=(10, 6))\n",
      "colors = ['#66b3ff', '#ff9999']\n",
      "explode = [0.05] * len(avg_price_by_category)  # 稍微分离每一块，更清晰\n",
      "\n",
      "wedges, texts, autotexts = plt.pie(\n",
      "    avg_price_by_category,\n",
      "    labels=avg_price_by_category.index,\n",
      "    autopct='%1.1f%%',\n",
      "    startangle=90,\n",
      "    colors=colors,\n",
      "    explode=explode,\n",
      "    shadow=True,\n",
      "    textprops={'fontsize': 12}\n",
      ")\n",
      "\n",
      "# 让百分比文字加粗、变白\n",
      "for autotext in autotexts:\n",
      "    autotext.set_color('white')\n",
      "    autotext.set_fontsize(13)\n",
      "    autotext.set_fontweight('bold')\n",
      "\n",
      "plt.title('Average Price by Product Category', fontsize=15, fontweight='bold', pad=20)\n",
      "plt.axis('equal')  # 保证饼图是正圆\n",
      "\n",
      "# 添加图例，显示具体数值\n",
      "legend_labels = [f'{cat}: ¥{price:,.0f}' for cat, price in avg_price_by_category.items()]\n",
      "plt.legend(wedges, legend_labels, title=\"类别平均价格\", loc=\"center left\", bbox_to_anchor=(1.02, 0.5), fontsize=11)\n",
      "\n",
      "plt.tight_layout()\n",
      "plt.show()\n",
      "\n",
      "\n",
      "--- 执行结果 ---\n",
      "执行成功：\n",
      "各产品类别的平均价格：\n",
      "category\n",
      "电子产品    2866.0\n",
      "办公用品     499.0\n",
      "Name: price, dtype: float64\n",
      "\n",
      "\n",
      "============================================================\n",
      "最终回答：\n",
      "## 📊 分析结果\n",
      "\n",
      "### 各产品类别平均价格\n",
      "| 类别 | 平均价格 | 占比 |\n",
      "|------|---------|------|\n",
      "| 电子产品 | ¥2,866.0 | 85.2% |\n",
      "| 办公用品 | ¥499.0 | 14.8% |\n",
      "\n",
      "### 🔍 业务洞察\n",
      "\n",
      "1. **价格差异悬殊**：电子产品平均价格（¥2,866）是办公用品（¥499）的 **5.7 倍**，两者价差非常明显。\n",
      "\n",
      "2. **数据样本需注意**：当前只有 4 个产品（电子产品 3 个、办公用品 1 个），其中电子产品的高价主要由笔记本电脑（¥6,999）拉高均值，而办公用品仅 1 个产品（办公椅 ¥499），**样本量过小**，得出的平均价格代表性有限。\n",
      "\n",
      "3. **建议**：\n",
      "   - 后续补充更多产品数据后，这个分析结果会更具业务参考价值；\n",
      "   - 如果按\"中位数\"或\"价格区间分布\"来分析，可能比\"平均价\"更稳健（避免笔记本电脑这种极端值拉高均值）；\n",
      "   - 可以进一步分析不同类别在**销售额、利润率、库存周转**上的表现，形成更完整的品类画像。\n"
     ]
    }
   ],
   "source": [
    "# 查看 Agent 的完整推理过程，重点是它生成了什么代码\n",
    "response = visualization_agent.invoke({\n",
    "    \"messages\": [{\"role\": \"user\", \"content\": \"分析各产品类别的平均价格，画一个饼图\"}]\n",
    "})\n",
    "\n",
    "for i, msg in enumerate(response[\"messages\"]):\n",
    "    msg_type = msg.__class__.__name__\n",
    "\n",
    "    # AIMessage 中的 tool_calls 包含 Agent 生成的代码\n",
    "    if msg_type == \"AIMessage\" and hasattr(msg, \"tool_calls\") and msg.tool_calls:\n",
    "        print(f\"\\n{'='*60}\")\n",
    "        for tc in msg.tool_calls:\n",
    "            if tc[\"name\"] == \"execute_python_code\":\n",
    "                print(f\"Agent 生成的第 {i+1} 段代码：\")\n",
    "                print(f\"{'='*60}\")\n",
    "                print(tc[\"args\"].get(\"code\", \"\"))\n",
    "\n",
    "    # ToolMessage 是代码执行的结果\n",
    "    elif msg_type == \"ToolMessage\":\n",
    "        print(f\"\\n--- 执行结果 ---\")\n",
    "        print(msg.content[:500])\n",
    "\n",
    "# 最终回答\n",
    "final_msg = response[\"messages\"][-1]\n",
    "print(f\"\\n{'='*60}\")\n",
    "print(f\"最终回答：\\n{final_msg.content}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9588eddb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 编排器：根据用户意图路由到合适的 Agent\n",
    "def run_data_analysis(user_query: str) -> str:\n",
    "    \"\"\"\n",
    "    统一入口：自动判断用户意图，路由到对应的 Agent。\n",
    "    \"\"\"\n",
    "    # 用 LLM 做意图分类（也可以用规则匹配，看场景复杂度）\n",
    "    classification_prompt = f\"\"\"判断以下用户问题属于哪种类型：\n",
    "    - \"query\"：需要查询数据库获取数据\n",
    "    - \"visualize\"：需要画图或做统计分析\n",
    "    - \"both\"：需要先查数据，再画图分析\n",
    "\n",
    "    用户问题：{user_query}\n",
    "\n",
    "    只回复一个词：query / visualize / both\"\"\"\n",
    "\n",
    "    intent = llm.invoke(classification_prompt).content.strip().lower()\n",
    "\n",
    "    if intent == \"query\":\n",
    "        # create_agent 返回的消息格式：取最后一条消息\n",
    "        result = sql_agent.invoke(\n",
    "            {\"messages\": [{\"role\": \"user\", \"content\": user_query}]}\n",
    "        )\n",
    "        return result[\"messages\"][-1].content\n",
    "    elif intent == \"visualize\":\n",
    "        result = visualization_agent.invoke(\n",
    "            {\"messages\": [{\"role\": \"user\", \"content\": user_query}]}\n",
    "        )\n",
    "        return result[\"messages\"][-1].content\n",
    "    else:  # both\n",
    "        # 先查数据\n",
    "        data_result = sql_agent.invoke(\n",
    "            {\"messages\": [{\"role\": \"user\", \"content\": user_query}]}\n",
    "        )\n",
    "        data_content = data_result[\"messages\"][-1].content\n",
    "        # 把查询结果传给可视化 Agent\n",
    "        viz_input = (\n",
    "            f\"基于以下数据进行可视化分析：\\n{data_content}\\n\\n原始问题：{user_query}\"\n",
    "        )\n",
    "        viz_result = visualization_agent.invoke(\n",
    "            {\"messages\": [{\"role\": \"user\", \"content\": viz_input}]}\n",
    "        )\n",
    "        return viz_result[\"messages\"][-1].content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3ab92816",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "findfont: Failed to find font weight bold, now using 600.\n",
      "findfont: Failed to find font weight bold, now using 600.\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABH8AAAORCAYAAABrwg7+AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlcelbwAAAAlwSFlzAAAPYQAAD2EBqD+naQAAkg5JREFUeJzs3QeYVNUBN+6DohhAEJEqqDQbKNgVgyIqFuxKxNhNxEQTNWJMUKMx8QuamFii2GLQSIgERSQQo8Ye7C0qaCwoRVARKWJBgfk/53z/mW/LLOyyA7tc3vd5hmVumbkzd+7Mub97SoNcLpcLAAAAAGTSOnW9AQAAAACsOsIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGRYw7reAABK5+GHHw4ffvhhtZbddNNNQ9++fevN2/+rX/0qvPbaa6Fz587hyiuvDGurb775Jtx3331h8uTJ4f333w8bbLBB2GyzzULPnj3DQQcdFBo0aLDWvtdVfb7je7TJJpuE7bffPrRo0aLK9d9+++1w0003he7du4dTTjklrLNO3VwDq2o7TjzxxPDVV1+FAw88MHzve9+rk21b3vbVR7NmzQqPPvpo+v/GG2+cjpG6VlfH15q03wCoAzkAMmO//fbLxa/26twOOeSQXH3c9p133jm3tho9enSuQ4cOVe6zrbbaKvf444+vte/1ij7f66yzTq537965iRMnFl1/7733Liz7r3/9q9bb8+yzz+b++te/1ni9qrajadOmadqPfvSj3OpQ1faX+n1alYYMGVLY1vXWWy/38ccf1/Um1dnxtSbtNwBWP5cEADJovfXWC127dl3urV27dnW9mZQxduzY8N3vfjfMnDkzNG3aNBx66KHh9NNPD8cee2zYaqut0jL/+9//whFHHBHeeuuttfq9K/v53mKLLcL666+fpi9btiw89dRTYcCAAWHIkCGV1svl4nnx/1XbGlT77bdf2G233cL9999f43VLuR2rYvvrw/ZVx5IlS8Kdd95ZrtbcyJEjw9pqTdlvANQNzb4AMmjzzTdPTQBYc1x88cVh6dKlYcsttwxPPvlkaN26dbmTuuuvvz6cffbZYd68eeGiiy4KY8aMCWurip/vGPp88MEHYcKECeGSSy4Jn3zySfjDH/4Q9txzz3DUUUcVlrvlllvC8OHDw7bbbhv233//Wm1DDOJWVim3Y1Vsf33YvuqYOHFi+Pjjj9P/47ZOmTIl/PnPfw4/+clPwtpoTdlvANQN4Q8AlXzxxRfh5ZdfDh07dkz9zZT19ddfh//+97+ptsU222xTqHWxPJ9//nnqA6NZs2Zh6623Xum+KGII8t5774UZM2akx2nTpk3J996XX36ZtrVRo0bpJCrWMlkV65Q1f/788Oabb6b/x5o9ZYOf/FX8H//4x6kvoNjvzSOPPJICj4rvY6w1FG+x35guXbqEDh06rHQNgJV9rLjOu+++m96HVq1ahdUhvg/xs/rDH/4wDBo0KPTo0SP1BRNr/xx88MGpT6Ao1qC69tprq3ycBQsWpM/X3LlzU824WKuocePGtd6+iu/JirajrBhoxGMuvqaGDVdPsa0627eyx2IMOOOxEmvpxOeJ3wkrKwY9UXxff/Ob36Rj5/XXXw8vvPBC2HnnnUu+LaU8vmqiup/Luvp8A7CGqIOmZgCs4r4munbtWqP1mjdvnmvYsGHqa+TXv/516jsj33dE+/btUz8z33zzTe7HP/5xbv311y/Ma9myZe6uu+6q8vGuvfba3Pe+973UF0t+nSZNmuTOP//83JIlS6rdT0Z87l/84heFPlHyt0033TQ3ZsyYwnJffPFFbpNNNknP3bdv36Kv9cQTT0zzGzVqlJs1a1Zh+ocffpg78MADc+uuu27h8eNrPfjgg3MfffRR0cdamXWKia8v/9p222233FdffVV0uTfeeCN39913p1t8rXmPPPJIbpdddqnUB07cd3//+98rPc7y3uuaPlZ+X19wwQW5K6+8svBetGnTZqX3RW0/37fffnthu0eOHFmYfskll6Tni7eyn7/YT8wpp5xS7nMfb3GfnHfeebnFixdXer35ZRo0aFB4zBdeeGG570nbtm2Xux1l+/x56KGH0vL559lggw1yP/zhD8ttS9nnOvvssyu9D88880zhee67775qb39V21eTY7HY9t16663l1ovPHV/r559/nqup2bNnF17HsGHD0vuy8cYbp/vxfSpmZbeltsfXyn4v1eRzWarPNwDZJfwByJCVDX/yJ0HxxCP+bdGiRa5169aFk4TGjRunkCP+P55gxRO9eLKUP2l67LHHij5eXC8f+Oy4447lTrb69etX7gSlqkAinpjsscce5cKjbbbZptwJbDyByYsBVX673n333XKPFU/s4vpx/qGHHlqY/tZbbxVOtGNQ1aVLl1y3bt0KJ+2xE+YpU6aUe6yVWWd5jjrqqMLr6dWrV+7OO+/MffbZZytc78EHHywXyHXs2DG3ww47FPZlvN1zzz3l1qnqvV6Zx8rv0+22267wmcgHHSuzL0rx+Y4n2/ltufjiiwvT4//z25f/7MXPV3y/89O32GKL9JpjsJmfdvLJJ1d6vcVu+fBkee9JVdtRdr3u3bun/dCsWbN03OTfp3jbc889UwBTnU6iY/iTX2/cuHHV3v6qtq+mx2LZ54vhR/y74YYbps9V2fflpz/9aa6mfvvb3xY+W9OnT0/TzjjjjDQthjxlw9HabEupjq+aHgs1/VxWtd9W5nEAyCbhD0CG5E86vvWtb6X/L+/23nvvFdYre0L4q1/9qjD9lltuKXdyGE/sli1bluY999xzhXCn4tXsso83aNCgwpXleELyk5/8pDBvxIgRKwwk4vbkl481DvInNQsWLCgEUvGE6sknn0zTX3/99cLyl156abnHiiMb5efla0JEBxxwQOGk8MUXXyxMf/PNN1OgUyygWJl1lmfhwoXpxL7s+x3345FHHplqr8T5xeTXiWFTrBmUN2PGjMLIYT169Ci3TlXv9co8Vtl9HUPDeFIea4Bcf/31K7UvShVu5oO5+Plb3snxU089VZgWa5DkxfmnnXZa4fOVr8n1wQcf5GbOnFl4/Lh/4v14+/rrr1f4nlS1HRXXGzhwYO7LL78setzcfPPNKx3+VGf7q9q+mh6LFV/TWWedVXiOyZMnFz5TMUjJv9bq2nrrrSt998TnzT9XsVHMVmZbSnV81fRYqOnnslSfbwCyS/gDsJYO9R5PRiqeFPXs2bPSY3bq1KlwNb1i84Dvfve7hRPcsvKPF2sPFTup23bbbdP8eAK3vBOmRYsWpeYucXoMWyqKV8zzV7DjMMd5ffr0SdPitufDqig2x4rT27VrV6g9UfaE8YYbbqj0HBMmTCjMf/XVV1d6neqI728Mevr371+uNkU+CIpNQ8rWJoqvLZ7UxyYsxYaA/9nPfpbWjc09VlTLamUfK7+v4/aWDcFWZl+UMvzZaaed0rKxpsryTo5jk578tNgcqOxrmzNnTtof8VaxWVr+xP+EE06o9Nwrek9WFP7Ez3QMVCqKNYLi/Bgurmz4U53tL7Z9K3ss5rcv7v+K+/maa64pPE/ZYGVFygYat912W2F6/Hxtvvnmafq+++5bab2abkspj6+aHgsr87ks5ecbgOzR4TNABm288cbhvPPOW+4yFTsVjnbZZZeiIyvFTkLLDqlddl4UR6CKnaeuu+665ebHIbfzne1WnB47so1DlsfObKvqNDp2ghw7V42OP/74SvNjZ6XHHHNMuPnmm1MH1Xk/+MEP0ohZcbvj37322iuNAPXggw+m+aeeemqh89yy602dOjX8/ve/r9RZdd5zzz0Xtttuu5Vapzri+xBfZ7zFTlnHjx8fxo0bl7Y7diodh7WOo3zFv/F1x85mDz/88LRufH0PPPBA2p44AtLixYvD008/nebFDm3j/OV1ylvbxzrggAPCjjvuWOlxa7IvSumjjz5Kf2PHtsuzxx57pI5y4+hX1113Xfj73/8eDjnkkNC/f/90K/a5q66q3pMVOfDAA4t2PhyPm8mTJ4d33nknHRfFjq1VZWWPxby999670n6OHUXnxY6Uy96vTkfP8fXH5yz7GY7bFjt/jp2iv//+++l7a2W3pZTHV02PhVJ9Llfl5xuANYvwByCj4U8cDrymip1M5k9Gio1gVTHsqSiOhlNM/oQ8jlgVT4TiycmKhqMudhIXderUKf1duHBhGuGpffv24eijjw7nnHNOOrG644470klWPOlZsmRJOqE77bTTCuvHACqvYohTUTyZXNl1aqply5bpZDDe4muLQzj/4he/SCfgJ554YhrGPL6PcWS2GPTF15k/OV9ZtXmsbt26FZ1ek31RKjFQjJ+F5W1X2c/8Y489lrbxnnvuCR9++GH405/+lG7xMx9P/mOYsKLHKWZl1lneZz1/3MSa2/FzVd2wpBRW9ljMa9q06XK/b2J4XN3P6OjRo9P/Y0AWR3QrKwY3+fcoft4uvfTSSo9Rk20p5fFVk2OhVJ/LVfn5BmDNIvwBYJWJQwsXE0+o8jbccMMq199oo42K1qYp67PPPkt/48lTfvk45Popp5wSrrrqqlRT5o9//GP461//mubts88+aZjmvBYtWhT+f+GFFy53uOftt99+pddZnngilj+hjTV9mjRpUm5+fPyf//zn6e9ZZ52VTkJjraDTTz89fOc73wkTJ05Mw50PHDgw9O3bN7Rt2za9B3Fo+FtvvTVURwziavNYVdXeqcm+KJX7778/vZ6oOie18TXG93/+/Pnh4YcfTrVGYm2MWMPm7rvvDk888USqqbHlllvWaDtWtkZT2eOjrEWLFpULeFenlT0WSy3uj/zzxBo48dipyogRI8Ill1yy0sOx1/aYqO2xUKrP5ar6fAOwZhH+ALDKvPLKK0Wn52vOxJCjbO2AirbZZpvC/1944YXUHKaiZ599tlAbITY9yRs8eHCqlRNPFOPfp556Kk3//ve/X279srUn9t9//3RyV1Zs0hGbqEWbbrrpSq+zPPFE+d///nf6fzwpO/LII4su16dPn8L/Y7OT2AQonphGF198cbjsssvKLT9hwoRQXaV8rIqquy9KVevnggsuKNSeOuqoo5a7fKx5FkOE2ORuhx12SLUz4i2KtTPiyXqcH5saXXHFFWF1ePXVV4tOf+ONNwqBab7ZZvzMx1Ao1rapKJ7ol0ptjsVSyjf5igHsGWecUeX7FIOZadOmpaBj3333XannWhXHRHWPhVJ9Luvj5xuAurFOHT0vAGuBeEU53io2y4hXm6NiJ5BlxZPIeMIS3XDDDYWmPHnxxC4fmlQMTGKNj/xJX/6kLdaWqLjct7/97UKTj3glvqIrr7wy9OrVK93yTUpWZp3liaFOvnbCueeeW+l15puilG1ituuuu4bXXnutcL9iABVPfGOTkuoq5WNVVN19URuxlkbskyW+5/lw8fLLLy9XS6uYGBLsvvvuYeedd670vsfmdfkQIzaXKSvWBMmHcKUWP9f5IKXsPoi1wvJ9/1RsghX7nynbXClu77Bhw6p8jppuf22OxVJ59913C98n3/3ud9PrK3a75ZZbCrWu8mHRylgVx0R1j4WV/VxWVKrHAWDNp+YPQAbFQv5BBx20wuViU4DlNVkqhdi5aDzJ6dGjR6oNE68ux2Yt8eSz4pX0imIgctNNN6VOS+PJSfwbw5HYPCJ2pJwPQ2LtoV/+8peV1o81A+IJaf6kOJ7sVOzXaLPNNkt96cQ+ksaOHZtOwo477ri03L/+9a/0/FGsQRKDhZVdZ3liR7HxpDU27Zo+fXp6ffF9i39jU5EPPvggNWXKn7zFDmvjyVzZZkXx9cdaL/G9mDRpUgo+Pv3001BdZZt81PaxiqnOvliZz3d8vBkzZqQaDmWDjPj+xWZxK3LwwQeHn/3sZ+n1HnrooenzFZvJxH5ZRo4cWWiCFU+gy4qfgbiv4n6Jz9OqVavUd0opxP5qYme8sclSbDYYa7Lkj5u4z3/1q18Vlu3Xr186Ft5+++30WmIoEmue/e53vyvXTKyimm5/bY/FUojNuOJ7E5100klVLhdrRcX375///Gc6PmNzp5VphraqjonqHAsr+7msqFSPA0AG1PVwYwDUzVDv8fbJJ5+scLjoqoYtrs6Q1XFo8n79+lV63iZNmuT+/ve/V/t5xo4dWxhGuuJt++23z7322mtF34+vv/4617Zt2xUOux6XO+uss3INGjQo+hwHHXRQ7rPPPqv1OisyZMiQSkO8V7zF93Pu3LmFdeJ7XGy5TTfdNHf55ZcX7n/44YcrfK9X5rHy+/r8889f7mur7r6o7ee7TZs2ud///ve5pUuXVvvzGofyXnfddat8zDi0ecWhwe+9995y+yq+tuq+Jys6buJnp3HjxpW2Y6ONNsqNHz++3GN9+umnheHNy9423njjcvus4lDvy9v+qrZvZY7F5X23PPbYY4V1//Wvf+WWJ+7P/PD0W265ZW5FRo0aVXjs4cOHr/S2lPL4qumxUNPPZSk/3wBkj5o/ABkSr4bHJknVla/yHzstjleGY1Oiqh6zWN88sdZBvvZJvhlJWc2bN08dssZmGLH/kVgzI9ZYGTRoUNh2222r/TyxZk28Mh37qPjvf/9bGIo5PlYcDauqoeLjaDZdu3ZNNRV22223Kodcj8tdf/31qXPX2JHy66+/nt6P+ByHHXZY0eZpK7POisSOYOOV+dtvvz2NrhRr/MTHjKOmbb755um5dtppp3LrxPck9jsUm3fMnj07jZwWm+fEZeNV/TiSUMURjqp6r1fmsfKfnd69ey/3tVV3X6zM5zvWjor9+/Ts2TO9P1WNQlfV5zX2txI73I01W2KTsbiNsSlOfN9j7a24Lyt2GnzEEUekIc0fffTRVAOkJu9JVduRXy/WWoqf6VjTJX7eY+28OGR8HJa7c+fO5R4rNmuLfQTFz85LL72UjrF4rMTjIr4v+X1WcWSw5W3/8o7rmh6Ly/tuiU3J8rWE4mdjeebMmVPoF6fYY1UUX1/+sfO1flZmW0p5fNX0WKjp57KUn28AsqdBTIDqeiMAyJbYIW1scvKjH/2oaJ84q0sMZPInVnFUnlXRwTD2BdSE7yUA6oIOnwHIrOuuu65wVf7YY4+t681Zq9kX4FgAoO4IfwDIpNiUJXZoGsVmZrE2EvYF1CXfSwDUFX3+AFBycbSdWNumLgOXMWPGpD6H4k1zr7plX4BjAYC6pc8fAAAAgAzT7AsAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AFAtTz31VNhll13Co48+6h2DVeS1114Ll19++QqXGz9+fDjttNPC4MGDwwMPPGB/AADLJfwBWEu98cYb4e9//3t4+OGHw+eff77C5efPnx9eeOGFsGjRotWyfbA2+eKLL8JNN90U9t5773DzzTcvd9nbbrstDBkyJPTp0yfsvPPOKQAaPXr0attWAGDN07CuNwCA1SuGN9///vfLnSy2b98+/PWvfw19+/atcr1vvvkm/W3UqNFq2U5Ym/z85z8Pb775Zrj22mvDhRdeWOVyixcvDhdccEEKbXv16pWmbbnlluGEE04IAwcODOus47oeAJCx8GfZsmVh1qxZYcMNNwwNGjSo680BWCPEE8cY/PzkJz8JRx99dPjvf/+bTjbjieOrr74amjRpUnS9//3vf+nvkiVLwsKFC1fzVrOmy+Vy4bPPPktBo4Cist/85jehadOm4fHHH1/u+xhDn7Zt2xaCnyiGtrEc9Mwzz4TevXsXDYzirWz56dNPPw0tW7ZUfgKAtaT8tEaHPzH46dixY11vBsAa6eqrr063suIPy4oMGDBgFW4VWTdjxozQoUOHut6MeicGP9Uxbdq00KVLl0rT47Tp06cXDX+GDRsWLrvsspJsJwCwZpaf1ujwJ9b4yb8RzZo1q+vNAaj3Zs6cGX7wgx+Efv36hfPOO68w/Uc/+lG48847w5NPPhm23377ousecsghaf52220X/vOf/6zGrSYLYm2xeMEm/9vNyol9bxWrnRfDo3nz5hVdZ+jQoeWO9wULFoTNNttM+QkA1qLy0xod/uSbesXgR/gDsGLbbrtteOKJJ8pNi82+YsfPW221Vdh9991Dw4YNi9Y2iKN9tWnTJo1GFEP37t27e8tZ6d9uVk6rVq2KNruMgU7r1q2LrhP76SrWV5fyEwCsPeUnvQICrMXuvffeNLpQPDG84447igY/0R//+MewdOnS8Le//S31NxI7pwVWv27duoXJkyeXmxb78JkyZUro2rWrXQIAFCX8AVgLffXVV+HHP/5xOOqoo8Kmm24aJk2aFHbbbbcq+1f705/+FHbaaaewzz77hLPPPjtMmDAh/Pvf/17t2w1roxjsxI7Wozi8ewx74jGYN2rUqFTrp2fPnnW4lQBAfSb8AVjLxCYj++23X7j++uvTkO8vvPBC6NGjR5Uh0RFHHJGGhx8+fHiadu6556baB6ecckpq/gWsOrNnz05NLEeOHJnux5E+br/99jB48OAwZMiQcM4556QR/EaMGGE3AABVEv4ArGXOP//8VNPn8ssvD7feemv41re+VeXQkjEcev7559PJ5a677pqmx+X//Oc/p5PSgw46KHVAC5TGNttsE6677rrC/Xbt2oX77rsv1dLLix22P/LII2nUj9jUK3bEHvvrAgCoSoNcLN2vwVevmzdvnjo51OEzwIp9+umnYZNNNknBTuzguWLncddee23o379/mDNnTjjhhBPCgw8+GI4//vjwl7/8JdU4KOumm24KP/zhD9PoYGPGjAlbbrmlXYDf7DWA8hMArH2/2Wv0aF8A1MzHH38cDjjggCrnN27cODz99NPh6KOPTjV7jjvuuNQRdMXgJ4pDxscfotj5c+wPKDY7OeaYY+wSAACoZ4Q/AGuRrbfeOtx///3LXeaVV14Jn332WWp6EjuFXp6f/exnqdnJ9773vXRVAgAAqH+EPwCU06tXr/Dee++l5mHVEWsJ7bvvvmGjjTbyTgIAQD2kw2cAKqlu8JMn+AEAgAyGP998802Nll+6dGmt5gMAAACwisOfJUuWhEsvvTS0bds2XRXu3r17eOCBB5a7ziWXXBI23XTT0KpVq3DYYYeFefPm1Wg+AAAAAKsp/LnyyitTR6GvvvpqGuHlD3/4Qzj22GPD+++/X3T5OH/ChAnh2WefDTNmzAidO3cOhx56aLXnAwAAALAaw5/hw4eH3/zmN6F169bpfhwuOHYM+uijj1ZadtmyZeHqq68ON954Y+jQoUNo0qRJuOqqq8L06dPDc889t8L5AAAAAKzG0b5inzxHHXVU2GmnncpNnz17dth4440rLf/WW2+F+fPnh1133fX/PVnDhqFv374pLGrWrNly55ednrd48eJ0y1u4cGF1Nx9gjfDhhx+m70aq7lg6Nj0GAABWQfiz7rrrhj/+8Y/lpsWaO7EfoP3337/S8jEUijWEGjRoUG56LLTHeSuaX8ywYcPCZZddVt1NBljjgp8Bhx0ZFi76vK43pd5q1rRJmDj+XgEQAACsivCnrK+//jpccMEF4Z577kl99jRu3LjSMjEUioFRRXFanLei+cUMHTo0nHfeeeVq/nTs2HFlXgJAvRNr/MTgZ+v9TwrNNmlX15tT7yz8ZHZ486G/pPdJ7R8AAFiF4c+0adPCMcccE9q1axdeeeWV0LJly6LLxfmffPJJpelz5swJnTp1WuH8Yho1apRuAFkWg58W7Tav680AAADWxg6fp06dGnr37h0OOeSQcN9991UZ/ETdunVLf//3v/+Vmz5p0qSwyy67rHA+AAAAAKs5/DnjjDPCEUccES699NJKffVEceSu/EhdsYbOqaeempppxc6i86OFxSZj++233wrnAwAAALAaw59FixaFhx9+ONx6663hW9/6VrlbHKI9+v3vfx/Gjx9fWOeKK65I82MTr6222ir84Q9/CA888EBYZ511qjUfAAAAgNXU50+TJk3Cl19+WfxBGv7fh3njjTfCeuutV5ge/3/33XeHuXPnhnnz5oWuXbuWW29F8wEAAABYTeFPbOa1os6WywY/ZcW+gZbXP9CK5gMAAACwcrSvAgAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAxrWJuVX3jhhdCrV6/QsGHlh5kxY0aYNWtW0fV222239HfatGnhww8/rDS/e/fuoWnTprXZNAAAAABWNvz57LPPwllnnRXuvPPO8Mknn4SWLVtWWuaee+4Jt912W7lpX3zxRQqEvvzyy3T/sssuC4899lil9UeMGBF69OhhBwEAAACs7vDnoYceCt/5znfCySefvNzlzj333HQr64orrggvv/xy4f7s2bPDtddeGw499NCabgYAAAAAq6LPn3bt2oWnn3461dqpiWXLloWbbrop/OAHPygX/sTHAwAAAKCehD+xOdbWW29d4yeaMGFC2GCDDcI+++xTmBb7+/noo4/C4Ycfnh534MCBYcqUKVU+xuLFi8PChQvL3QAAAACoB6N93XDDDeVq/SxdujTMmTMnDB8+PFx44YVh4sSJqfPoPffcM3z88cdFH2PYsGGhefPmhVvHjh1X1+YDAAAArJFWS/jz9ttvh//85z/l+gnK5XLhkUceCWPHjk2jf22++ebhoosuCrvssksYOXJk0ccZOnRoWLBgQeEWRxQDAAAAYBUN9V5dsXZP7CS6RYsW/++JGzYMe++9d6VlY/Ov6dOnF32cRo0apRsAAAAA9aTmTxze/fbbby/X5Ct64403Qps2bcI333xTbvpLL70Uttxyy1W9WQAAAABrhZKGP/369QvXXXdduWl//etfwxZbbJGadpW1zTbbhO233z4MGjQoPPbYY+Gtt94KP/nJT8KsWbPCSSedVMrNAgAAAFhrrXT4s95664UjjjgirL/++oVpO+20U+jcuXO55WITrl/84hdFHyP297PVVlul0CeO9LVkyZIwadKk0LRp05XdLAAAAABK0edP48aNw7333ltu2u9+97tKy/3617+u8jE23HDD8Jvf/CbdAAAAAFhDO3wGAKBq48ePD+PGjUsDYhx99NHhgAMOqHLZr776Ktxwww3hmWeeScv37t07nHHGGeVqYwMArPah3gEAKO62224LQ4YMCX369Ak777xzGDx4cBg9enTRZZcuXRr69+8fnn/++XDmmWeG0047LTz00EOpKT4AQFXU/AEAqCOLFy8OF1xwQXj44YdDr1690rQ46ukJJ5yQ+kNcZ53y1+lef/318N5776XBMvLz+vbtGzbZZJPUz+Jmm21WJ68DAKjf1PwBAKgjMfRp27ZtIfjJhzkNGjRIzboqat26dZg3b15YtGhRYdonn3wSvvnmm9CiRYsqA6aFCxeWuwEAaxfhDwBAHZk2bVro0qVLpelxWqzJU1G7du3Cz372s3DssceGkSNHhjvuuCN897vfTYNnxIE0ihk2bFho3rx54daxY8dV8loAgPpL+AMAUEfmz58fmjRpUml606ZNUw2fYmLTrnfeeSdMmDAhTJw4McycOTO0b9++yucYOnRoWLBgQeE2Y8aMkr4GAKD+0+cPAEAdadWqVdFmWDGkiU28Krr33nvD5Zdfnjp83mijjdK0OXPmpGZjcfnYZKyiRo0apRsAsPZS8wcAoI5069YtTJ48udy0ZcuWhSlTpoSuXbtWWv7xxx8PhxxySCH4yQdI++23X5oHAFCM8AcAoI7E4d1j2BObcOWNGjUq1eLp2bNnuh+DoCVLlqT/b7HFFuGll14KuVyu3PDvr7zySujUqVMdvAIAYE2g2RcAQB2Jw7XffvvtaWj34447LoU8Y8aMCWPHjk3zZ8+eHbp37x5GjBgRTjnllHD66aeHv/zlL6mmz2GHHZaCo7vvvjs0a9YsDBo0yH4EAIoS/gAA1KF+/fqFRx55JNx///2hYcOG4cknnyyMABZH97rvvvsKffnEzqFjfz/jxo0Lr7/+egqP4uhfhx56aBoeHgCgGOEPAEAd23rrrdOtmFjDp6x11103HH300ekGAFAd+vwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhjVc2RU//vjj8Ic//CFccskloXHjxkWXGTduXJg0aVKl6T/+8Y/DZpttlv7/zDPPhFGjRoVPP/009O/fP5x00kkru0kAAAAA1Lbmz9KlS8PYsWND7969w5VXXhm+/PLLKpf9+9//HmbOnBk22WSTcreGDf9v5hSDoSOPPDJ07tw5DBgwIFx33XXhoosuqukmAQAAAFCqmj933HFHuPbaa8ONN96Yauosz+zZs8OFF14Y9t9//6LzL7jggnDFFVeEk08+Od3v06dP6N69ezjrrLNC+/bta7ppAAAAANS25s93vvOd8N///jfsuuuuK1w2hj8xxPniiy/Cm2++GRYvXlyYN2vWrPD888+HgQMHFqZ16NAh7LXXXqm5WDFx/YULF5a7AQAAAFDC8Kdp06bVXjaGP7feemvo0aNHOPHEE0Pr1q1TraFo2rRpoW3btpX6C+rSpUuYPn160ccbNmxYaN68eeHWsWPHmm4+AAAAwFplpTt8XpGvvvoqrL/++inMmTp1apr22muvpb6Cdt999zB//vzQpEmTouHSnDlzij7m0KFDw3nnnVe4H2v+CIAAAAAA6iD82WCDDSqFONttt1046qijwr/+9a/UwXOxZlsLFixINYSKadSoUboBAAAAsIqafVXX3Llzw6OPPlpperNmzcLnn38eOnXqlMKhOMR7Wa+//nro2rXrqtosAAAAgLVKScOf2Lxr0aJFhSHhDzjggNS3T14MfSZMmJBG9WrZsmUaLWz48OGF+S+//HJ48cUXw+GHH17KzQIAAABYa5W02Vfsz2fQoEHhmmuuSU23Lr/88rDHHnukpl5x1K8777wz7LfffuHQQw9Ny8fl9t133/D++++HNm3apPnXX3992GijjUq5WQAAAABrrZUOf+IoXSNHjiw3+tfo0aND586dC/cvuOCCFO7EPn5iTaCbbrop7L333oX5sXnX008/HSZOnJiaicUh3nfcccfavB4AAAAAShH+rLfeeuH4448vN61ssJO30047pVtVYo2g008/fWU3AwAAAIC66PAZAAAAgLon/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyrGFdbwAAwNpu/PjxYdy4caFhw4bh6KOPDgcccMByl3/66afDqFGjwqxZs8Iee+wRzjzzzNC4cePVtr0AwJpltdX8+eabb1bXUwEArDFuu+22MGTIkNCnT5+w8847h8GDB4fRo0dXufxDDz0UBg0aFHbYYYcwcODAFBzFvwAAJQ9//vGPf4SuXbuGefPmVbnMkiVLwqWXXhratm0bNtlkk9C9e/fwwAMPFOZffPHFoVOnTpVur7zyyspuFgDAGmPx4sXhggsuCGPGjAmnnnpqCn7uuOOOFAYtW7as6Dpnn312+Mtf/hJOO+20FALddddd4bXXXgvvv//+at9+ACCjzb6mTp2aQpsY0Lz77rtVFkyiK6+8Mtx///3h1VdfDa1bt07Bz7HHHpvW3WKLLcKUKVPCeeedFw4++OBy63Xo0GHlXg0AwBrk4YcfThfJevXqVZjWt2/f0KBBg/DMM8+E3r17l1v+2WefDeuuu27Ye++90/14Ea59+/Zh+vTpyw2Y4i1v4cKFq+S1AAD1V41r/sQrS1tvvXUqrKzI8OHDw29+85sU/ESx/Xos3Dz66KPp/uzZs1OV5S5dupS7NWrUaGVeCwDAGmXatGmp7FNRnFYs0Hn77bfDNttsE2699dbQo0ePsO2224Zu3bqFJ554osrnGDZsWGjevHnh1rFjx5K/DgAgYzV/Dj/88HRbsGDBcpdbunRpOOqoo8JOO+1UbnoMfDbeeOPC/2NzsL/97W+pFlEszBx55JFhnXWKZ1KuXAEAWTJ//vzQpEmTStObNm1atGn9hx9+GF588cWw5ZZbpprVscz05z//OZWf3nrrrdCyZctK6wwdOjTVtC5b80cABABrl1XW4XOskvzHP/4xtGjRojDt6quvTv0A7b///oUCTGzb/txzz4X11lsvXZnad999q2xK5soVAJAlrVq1KtoMK15ky9ecLqtZs2bhs88+C7/+9a8LF8ti3z+xOf1jjz1W9Dlijeq4XtkbALB2WS2jfX399dfh3HPPDX/4wx/C2LFj01CksRZP7NgwNg2LodDPfvaz8NRTT4WZM2dWOcJFvHIVC0P524wZM1bH5gMArBKxydbkyZPLTYsXwWK/iHFgjYo233zzdGGtYi3pGOgsWrTIXgIA6ib8iW3Z99xzz9RRdOzouWfPnoWrUDfeeGNqr563/vrrhwMPPDBVZy7GlSsAIEvi8O4x7JkwYUJh2qhRo1Ktn3yZKQZBseZ0tM8++4TPP/88vPTSS4Xl44WzWHbafffd6+AVAABhbQ9/YuATR6k45JBDwn333VeuHXqcd84551RaJ9boKdtUDAAgq2INnttvvz01g4/Du8eyURz6fcSIEYX+Ebt37x5GjhxZuFB2/fXXp7LVL3/5y9Qk/tvf/nY4//zzw1ZbbVXHrwYAWCvCn1iTJ/bfk3fGGWeEI444Ilx66aVpyNKyNt1003DXXXelq1u5XC5Ni82+/vGPf6ROCwEA1gb9+vULjzzySOjQoUNq6vXkk08WavG0a9cuXUCLg2jkxXLSv//973SxLA6wEQfOuOSSS+rwFQAAmRvta3l+//vfh0GDBoVdd901tTuPw8E//vjjaRSKsmInhfEKVQx6jj/++HSlKxZu5syZk65+xWFLAQDWFltvvXW6FXPYYYdVmhbLSspLAMAqD3+aN28evvrqq9QPT94bb7yRRu2K4rClX375ZfEnbfh/nzaGRG+++WZ45513Unv32Olhfh4AAAAAtVerpKVs8BPlg58oNvOqOL+qIeG1UQcAAABYg4d6BwAAAKBuCH8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/5QKx988EH46KOPvItrgK+++ipMmzYtfP7553W9KbDWWbZsWTr+5s+fX9ebAgDAWkj4Q63stdde4fjjj/curgGefvrpsMUWW4R//OMfdb0psNaZO3duOv6uuuqqut4UAADWQsIfinr++efDZZddlq5Ur+hqdsOGDb2LdSiXy4Vbb701/PGPf1zhvorsLyite++9N31fLl261PEHAEC9JPyhnIULF4bf/va34dvf/nb45S9/Gd5///3lvkOxCVGTJk28i3Xk9ddfDwMGDAiDBw8O11133XKXzTf3sr+gNGbMmBHOOOOMcNRRR6XvyyVLljj+AACol1TZoCBetd50003DokWLQps2bVbYl8+CBQvCnDlzwhdffOFdrAN//etfwwknnBA22mijsP76669w+bfffjv9tb+g9l566aWw6667hnXXXTe0aNEizJs3z/EHAEC9peYP5fTq1SuMHz8+nHrqqSt8Z956663099FHHw2fffaZd7IOmnt9//vfD6+99lpo1qxZtfeXPn+g9r755ptw+OGHh+eeey707NnT8QcAQL0m/KEgXsF+8sknw6GHHlrtfoGixYsXh/vvv987uZrFWj+xr58OHTpUa/kXXngh/Y3h3vKapwArtttuu4V77rmnWsFP2e/LF198cYV9qQEAQKkJf1hpw4cPD61btw7bb799uPHGG72T9dgzzzyTmqnst99+qXnK6NGj63qTYK0Rm8eOGTMm7LHHHqFx48bhpptuqutNAgBgLSP8YaX8+9//DpMnT06dnf70pz8Njz32WKpRQv10zTXXhHXWWSfccsstYe+99w5Dhw4NX375ZV1vFqwVbr755vDVV1+Fiy++ODWpjcej2j8AAKxOwh9qLHYYHAOfpk2bhh/+8Ifh2GOPDZ07dw7nn39+YUQp6o9HHnkk3H333WHgwIGhU6dO4cILL0yjFF1xxRV1vWmQee+++274wx/+ELbbbrtw0EEHhfPOOy/11zVkyJC63jQAANYiwh9q7JRTTgmvvPJK+P3vfx/atWsX1ltvvfCnP/0pvPPOOykIiqOGUT9MnTo1fOc730kjgl177bVpWv/+/VN/Qb/+9a9TUxRg1Ygd4R922GHp74gRI0KDBg1SUH7ZZZel/oLiXwAAWB2EP1TbsmXLUo2fGBjEUW4GDx5cmLfPPvuEc845J0ycODE1BYvLUrdmzpyZOu+OffzEcK5NmzaFeTEI6tixYzjxxBNTzSCgtGLgE2vbTZkyJfzqV78KO+20U2FerCW55557hl/+8pepKSYAAKxqwh+q5aOPPgoHHHBAuOqqq8L+++9ftMPgWBMonuzcdtttqXZJXIe6EUO4Xr16hTfeeCPtjyOOOKLc/I033jg8+OCDaYj4Aw88MO272BQFqL1YMzKGPQ888EAKzGMfWxVHVvzHP/4RevTokcLyH/3oR2nURAAAWFUarrJHZo121FFHha5du4atttoq9fETT2Q++OCDFO7ccccdoVGjRpXWiR0Kjxw5Mv2N4dCuu+4a3nzzzfCtb32rTl7D2uTqq68u7JPYnCTup/i+33nnneH4448vuk7ctzEAis1SYk2ETz75JAwbNmw1bzms+WLAE5tSNmzYMLz22mth9913D998801q1nXJJZcUXadFixbp+DvkkEPCDTfckDqAjoEQAACsCsIfitpll13SLe/0008PrVq1CmeeeeZy37H1118/3HXXXSn4iWGE4Gf1iCeeebGG1oABA8KVV14Ztt122+WuF2sHvfjii2m/xs67gZo7+OCDC/+PtXmOPvrocNppp4V99913uevFPtMmTZoUzj777HDyySd76wEAWGWEP1TLpZdeWqN3Ko5oQ92Io7DVpAZBDPV0/AylETt1/utf/1rt5TfYYAP9/gAAsMrp8wcAAAAgw2oV/rzwwgthyZIly10mdmL5xBNPhHHjxqU+RWo6HwAAAIDVHP7EIWxPOumk1CfMggULqlzu008/TctceOGFqePZbbbZJjz++OPVng8AAADAag5/HnroobDZZpuloaJXJHZi2adPn/Cf//wnjUAUR4KKHWF+9dVX1ZoPAAAAwGru8DmOTvL000+nv9dee+1yaweNHTs2vPPOO+VGIerSpUvqjPbAAw9c7vw4VDUAAAAAqzn8icPYRstr7hXFUGfDDTcM7du3Lzd9p512CpMnTw5du3Zd7vxi4U/sHyje8hYuXBhWlQ8//DDMnz9/lT0+2fb111+nYe+pbKONNgpt27b11rBSliz5JkydOtW7two5RgEAsmeVDfX+0UcfhRYtWlSaHqfFYGVF84sZNmxYuOyyy8KqFp9/wGFHhoWLPl/lz0U2T04/+fjj0KpN27DuuuvW9ebUO82aNgkTx98rAKLGvvxsfvjoww/DmecMCeutt553cBVxjAIAZM8qC3+aNGlStO+eOK1p06YrnF/M0KFDw3nnnVeu5k/Hjh1LvOUh1fiJwc/W+58Umm3SruSPT7bNeuu/4aN//Dl063d82KT95nW9OfXKwk9mhzcf+ks6xtT+oaa+/uqLENZZN2y134mOrVXEMQoAkE2rLPzp0KFDqt1TsfnL9OnTQ+/evVc4v5hGjRql2+oSg58W7Zy8UzML5sxKfzds2dbnB1YBxxYAAKyGod6ro1OnTqFz587hwQcfLEyL/QQ98sgj4eCDD17hfAAAAADqWc2ffv36hSOOOCIN4R7F/nnOOuus0LBhw9CmTZtwySWXhIMOOihstdVW1ZoPAAAAQB2FP7GzzRj0lG2yFUfqirV58o455piwbNmycPXVV4e5c+emodzLdti8ovkAAAAA1FH407hx43DvvfeWm/a73/2u0nLf+c530q0qK5oPAAAAQD3s8wcAAACAuif8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAoI6NHz8+nHbaaWHw4MHhgQceqPZ6ixYtCj//+c/DzJkzV+n2AQBrNuEPAEAduu2228KQIUNCnz59ws4775wCoNGjR1dr3dNPPz389re/DR999NEq304AYM3VsK43AABgbbV48eJwwQUXhIcffjj06tUrTdtyyy3DCSecEAYOHBjWWafq63TDhw8PDRo0CJttttlq3GIAYE2k5g8AQB2JoU/btm0LwU/Ut2/fFOo888wzVa73wgsvhFtuuSXd4rIrCpgWLlxY7gYArF2EPwAAdWTatGmhS5culabHadOnTy+6zvz588Mpp5wSRo4cGZo2bbrC5xg2bFho3rx54daxY8eSbDsAsOYQ/gAA1JEY5DRp0qTS9BjqzJs3r+g6J598cvjpT38aevToUa3nGDp0aFiwYEHhNmPGjFpvNwCwZtHnDwBAHWnVqlXRZlgxpGndunWl6VdddVVaJwZA1dWoUaN0AwDWXsIfAIA60q1btzB58uRy05YtWxamTJkSunbtWmn5m2++OTRs2DDssMMOhWmzZs0K3/3ud9O0u+66a7VsNwCwZhH+AADUkTi8ewx7JkyYEA455JA0bdSoUanWT8+ePdP9GATFEcBi6PPYY4+FJUuWlHuMb3/726lGUBwmHgCgGOEPAEAdiUO533777Wlo9+OOOy4FO2PGjAljx45N82fPnh26d+8eRowYkTp53nTTTSs9RgyF2rdvH9q1a1cHrwAAWBMIfwAA6lC/fv3CI488Eu6///4U5Dz55JOFEcBioHPfffel4d+rcvXVV4dOnTqtxi0GANY0wh8AgDq29dZbp1sxhx122HLXPeKII1bRVgEAWWGodwAAAIAME/4AAAAAZJjwBwAAACDDatznzzPPPJOGIP30009D//79w0knnVR0uX/+85/h0UcfLTqqxZVXXpn+P27cuDBp0qRKy/z4xz8Om222WU03DQAAAIDa1PyJQc2RRx4ZOnfuHAYMGBCuu+66cNFFFxVdtlGjRqFp06blbrNmzQp33HFHYZm///3vYebMmWGTTTYpd4sjXQAAAABQezVKWS644IJwxRVXhJNPPjnd79OnT+jevXs466yzQvv27cstu++++6ZbWaeffno49dRTC/dnz54dLrzwwrD//vvX7lUAAAAAULuaP7HWzvPPPx8GDhxYmNahQ4ew1157peZbKzJ//vxw1113hcGDB5cLf2Jo9MUXX4Q333wzLF68eLmPEecvXLiw3A0AAACAEoQ/06ZNC23btg2NGzcuN71Lly5h+vTpK1x/xIgRqaZQp06dyoU/t956a+jRo0c48cQTQ+vWrcO1115b5WMMGzYsNG/evHDr2LFjdTcfAAAAYK1U7fAn1txp0qRJpemxL5958+Ytd91cLhduvPHG8IMf/KAw7auvvgrrr79+Co+mTp2aahX95z//CRdffHF49tlniz7O0KFDw4IFCwq3GTNmVHfzAQAAANZK1e7zp1WrVkWbWcUQJtbYWZ4HH3wwfPnll6mT6LwNNtggzJkzp9xy2223XTjqqKPCv/71r7DbbrsV7UQ63gAAAAAocc2f2FwrhjVxiPeyXn/99dC1a9flrnvDDTekvn7WXXfdwrS5c+cWHQq+WbNm4fPPP6/uZgEAAABQivCnZcuWoX///mH48OGFaS+//HJ48cUXw+GHH57ux+ZbixYtqtRXUKz5873vfa/c9KVLl4YDDjggzc+Loc+ECRNS30AAAAAArOah3q+55po0fPv7778f2rRpE+68885w/fXXh4022ijN7927dxg0aFBaLi/29XPIIYdUGgo+NhW7/PLLwx577JGaesX58fH222+/cOihh5bgpQEAAABQo/AnNu96+umnw8SJE1OzrTjE+4477liYP3r06NC5c+dy68RaPN///veLPt4FF1yQwqTYx0+sCXTTTTeFvffe214BAAAAqIvwJ4o1dE4//fSi84oFN2U7eS5mp512SjcAAAAA6rDPHwAAAADWPMIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZttLhz9KlS0u6IaV+PAAAAABWIvy55JJLwqabbhpatWoVDjvssDBv3rwql7344otDp06dKt1eeeWVlXo8AAAAAFZh+POHP/whTJgwITz77LNhxowZoXPnzuHQQw+tcvkpU6aE8847L/z73/8ud9tmm21W6vEAAAAAqJmG1V1w2bJl4eqrrw5333136NChQ5p21VVXpcDmueeeC7vuumuldWbPnh122GGH0KVLl5I8HgAAAACrqObPW2+9FebPn18ulGnYsGHo27dvePTRR4uuE8OfTTbZJPztb38Ll19+ebjnnntS6LOyj7d48eKwcOHCcjcAAAAAShD+xCCndevWoUGDBuWmt23bNs0r5sMPPwyDBw9ONXnWW2+9MGzYsLDvvvumAGhlHi+u37x588KtY8eO1d18AAAAgLVStZt9LVmyJKy77rqVpsdpcV6xWjqnnnpqOOuss0KPHj3StJ/85Cehe/fuYfTo0alGUE0eLxo6dGjqQygv1vwRAAEAAACUIPxp165d+OSTTypNnzNnThrBq6JGjRqFG2+8sdy09ddfPxx44IHhxRdfDKecckqNHi//mPEGAAAAQImbfXXr1i39/d///ldu+qRJk8Iuu+xSafmpU6eGc845p9L0BQsWhBYtWtT48QAAAABYheFPrHETm3HFZldLly5N04YPHx6+/vrrsN9++6X7saZP7N8n2nTTTcNdd90VRo0aFXK5XJr21FNPhX/84x/hyCOPrNbjAQAAALCamn1FV1xxRTjuuONSE7BYeyeGNg888EBYZ53/myH9/ve/D4MGDUojeMVwJwY9xx9/fBgyZEhaJzbpuv3228O2225brccDAAAAYDWGP3HErrvvvjvMnTs3zJs3L3Tt2rXc/DfeeCMtkxdDoDfffDO88847aYSv2NQrDude3ccDAAAAYDWGP3ktW7ZMt4rKBj9lR+/aaqutVurxAAAAAKgd7asAAAAAMmylav4AAFA648ePD+PGjUvN448++uhwwAEHLHf5iRMnhnvuuScsXLgw7LXXXuEHP/hBWH/99e0SAKAoNX8AAOrQbbfdlgbH6NOnT9h5553D4MGDw+jRo6tc/uqrrw7nnHNO6N+/fzjllFPChAkTwsCBA1frNgMAaxY1fwAA6sjixYvDBRdcEB5++OHQq1evNG3LLbcMJ5xwQgp0Ko6A+sUXX4SLL744PPHEE2GnnXZK0/bZZ5/Ud+LUqVND586d6+R1AAD1m5o/AAB1JIY+bdu2LQQ/Ud++fUODBg3CM888U2n5999/Py2fD36ib33rW6nJV2wCVlXAFOeVvQEAaxfhDwBAHZk2bVro0qVLpelx2vTp0ytN33bbbcO7775bbtrIkSNDixYtQvfu3Ys+x7Bhw0Lz5s0Lt44dO5bwFQAAawLhDwBAHZk/f35o0qRJpelNmzYN8+bNW+H6I0aMCOeee264/fbbw3rrrVd0maFDh4YFCxYUbjNmzCjJtgMAaw59/gAA1JFWrVoVbYYVQ5rWrVtXud7nn38efvjDH4bnnnsuPPLII+WajVXUqFGjdAMA1l5q/gAA1JFu3bqFyZMnl5u2bNmyMGXKlNC1a9ei63z00Udhzz33DF9++WV48cUXlxv8AABEwh8AgDoSh3ePYU8crj1v1KhRqdZPz5490/0YBC1ZsqQw/6STTkqBz5gxY4o2GQMAqEizLwCAOhKHco/99cSh3Y877rgU8sRQZ+zYsWn+7NmzU0fOsW+fU045JQVBDz74YBgwYEA48cQTyz3WT3/607D99tvX0SsBAOoz4Q8AQB3q169f6rfn/vvvDw0bNgxPPvlkYQSwdu3ahfvuuy8N/x7F0bri6F5V9R8EAFCM8AcAoI5tvfXW6VbMYYcdVvj/pptuGo4//vjVuGUAQBbo8wcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkWMOarrB48eLw7LPPhk8//TR8+9vfDptssskKl3/qqafCBx98ELbffvt0y5s2bVr48MMPK63TvXv30LRp05puGgAAAAC1CX9i4NO3b9/QrFmz0KZNm3D66aeHu+++O+y9995Fl58xY0YYMGBAaNWqVejcuXO4+OKLwyGHHBKuv/76NP+yyy4Ljz32WGjZsmW59UaMGBF69OhRk00DAAAAoLbhz9lnnx369OkTbrjhhnT/gQceCEcffXSYOXNm2GCDDSot/5Of/CQFQ3/84x/T/YULF4Ytt9wyDBo0KNUamj17drj22mvDoYceWpPNAAAAAKDUff589tlnYezYseGiiy4qTDvggANCly5dwj/+8Y+i6zz44IOpdlBerDEUa/RMmTIl3Y/hT7t27aq7CQAAAACsqvDnnXfeCRtuuGFo3759uek77bRTmDx5cqXlly1bFu6///6wzTbbFKbNnz8/vPzyy2G77bZL92N/Px999FE4/PDDUyg0cODAQjBUVf9BsfZQ2RsAAAAAJQh/YkjTokWLStPjtGKdNq+zzjphzz33DOutt16h5lBs7hX7DNpjjz3C0qVLw5w5c8Lw4cPDhRdeGCZOnBh69eqV1vn444+LbsOwYcNC8+bNC7eOHTtWd/MBAAAA1krVDn+aNGkSvvrqq0rT47QVjcwVa/vsuOOOqYnXqFGj0rRcLhceeeSR1JRst912C5tvvnlqUrbLLruEkSNHFn2coUOHhgULFhRusUNpAAAAAErQ4XOHDh1S7Z+vv/46rL/++oXp06dPD717965yvTvuuCN1/Bw7fT7++OP/3xM3bFh0lLDY/Cs+ZjGNGjVKNwAAAABKXPOnU6dOabj22IlzXqx9E2vvHHzwwUXXuffee8P5558fHn744XLBT/TGG2+k4eK/+eabctNfeumlNCIYAAAAAKt5qPfLLrssnHXWWanWTgxuLrnkknDQQQeFrbbaKs3v169fOOKII9KQ8NE555yT5seaPGVr82y77bapI+jtt98+9QP04x//OHUkfeONN4ZZs2aFk046qQQvDQAAAIAahT/HHHNMGsXr6quvDnPnzk1DvcdAqOzIX7F2UL6D53g//r399tvLPc6JJ54YunXrlvr7iZ04x2Zh8XH32muvMGnSpBX2IQQAAADAKgh/ou985zvpVszvfve7wv/jsPCx2dfyxGV+85vfpBsAAAAAddjnDwAAAABrHuEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZFjDmq7wzDPPhFGjRoVPP/009O/fP5x00km1Wr6mjwcAkDXjx48P48aNCw0bNgxHH310OOCAA0q6PACwdqtRzZ9JkyaFI488MnTu3DkMGDAgXHfddeGiiy5a6eVr+ngAAFlz2223hSFDhoQ+ffqEnXfeOQwePDiMHj26ZMsDANSo5s8FF1wQrrjiinDyySen+7HQ0b1793DWWWeF9u3b13j5mj4eAECWLF68OJWHHn744dCrV680bcsttwwnnHBCGDhwYFhnnXVqtTwAQI3Cn1mzZoXnn38+PPTQQ4VpHTp0CHvttVeqdnzmmWfWaPkjjjiiRo+XL/DEW96CBQvS34ULF5Z0by5atCgsW7o0zP3gvfDNV1+U9LHJvgUfzQy53LIwb/b7YZ3c0rrenHpl4dyPwjeLF4fXX389HWeU9/7774cl33zju6cKjq3Vc4zG3794fJb6tzX/eLlcrqSPu6aLIU7btm0LQU7Ut2/f0KBBg9Q0vnfv3rVafnWWnwCAUG/LT9UOf6ZNm5YKG40bNy43vUuXLmH69Ok1Xr6mjxcNGzYsXHbZZZWmd+zYMawKU9/6xSp5XNYOj/z513W9CfVWvDpN1d5/x3fP8ji2Vr1ddtlllT32Z599Fpo3b77KHn9NE8tDsexTUb48VDHMqenydVF+AgBKa+7cubUuP1U7/Jk/f35o0qRJpelNmzYNc+bMqfHyNX28aOjQoeG8884r3F+2bFnqKLply5bpilcp07VYIJoxY0Zo1qxZyR6XtYPPj/fGZ8extaZald9f8YpVDH406y5veeWhefPm1Xr5YuWn+Bibb755CosEcXVHeaH+sC/qB/uh/rAv6o9YW3ezzTYLG2+8ca0fq9rhT6tWrYpWD44b07p16xovX9PHixo1apRuZW200UZhVYkFX+EPPj+OrdXNd4/3J6ufQUHDqi9fVbf8lN8fyjl1z3d+/WFf1A/2Q/1hX9QfpejTr9qP0KlTp1QjJ9a0KSv23dG1a9caL1/TxwMAyJpu3bqFyZMnl5sWazZPmTKlaHmopssDANQo/IlNq/r37x+GDx9emPbyyy+HF198MRx++OHp/tSpUwuduK5o+eo8HgBAlsWRTmN4M2HChMK0UaNGpVo8PXv2TPdjsLNkyZJqLw8AUKuh3q+55pqw7777phFp2rRpE+68885w/fXXF5pexU4GBw0alJarzvIrml9XYtXoSy+9tGgVafD5cWz57qkbvpu9x1mtxn377benodqPO+64FPKMGTMmjB07Ns2fPXt26N69exgxYkQ45ZRTVrh8dTiW6gf7of6wL+oH+6H+sC+yuS8a5Go4Zlgcwn3ixImpt+lYc2fHHXcszHv88cdD586dy40esbzlqzMfACDr3nzzzXD//feHhg0bhoMPPrjciF7jx49Pw7mX7Z9necsDANQ6/AEAAABgzVH7LqMBAAAAqLeEPwAAAAAZJvwBAAAAyDDhTxV0hUR1Pwurev6axHvl/antZ4RVfxzWdv216TttTVfTfWHfrTr2BTgm6ivfT2uelf29Fv5UEIdPjUOqxuHmDzjggDB9+vRS7B/WQBMmTAjbb799aNOmTWjbtm04+eSTwyeffFKY//HHH4dDDz00bLzxxmGrrbYK119/fbn1azu/Pvroo4/ScfHXv/613PQnnngi7Lzzzmkkmk033TT8n//zf8p9Kf3nP/8Ju+++e5of/z755JPl1q/t/PriqaeeCr169Qrvvfdeuen/+Mc/0kiGTZs2DVtvvXW4++67y82/4YYb0mcgfhbiZyJ+Nko5v64tWrQo/PCHP0zHUvPmzdPIjv/73/8K87/55ptwxhlnhHbt2qXPz7nnnhuWLVu22uZnxeTJk8M+++yTfr9at24dzjnnnPDVV1+lefEzsc0221S6xf2S9/bbb6f14z7q2bNnGj68rNrOZ/WZMWNG+q6On4VYpollm1IuT/WNGjUqbLfddum93W+//cLUqVOXu3z8fY3f5/H3olu3bmHkyJHe7hKoze/AlClTQo8ePdJ3LLUX38+99947lel22GGHcN999y13+Tlz5oTDDz88bLLJJqFly5bhrLPOCl9//bVdUQI1KT/GkblPOeWUdE4Uy3PxHCmOREnpXHbZZeGYY45Z7jKff/55+O53v5vKeVtssUX45S9/WbMniaN98X9NnDgx165du9yLL76Y+/zzz3O/+c1vct26dct9+eWX3qK1zKuvvprbZJNNck899VS6/8UXX+QGDx6cO+KII9L9pUuX5nbYYYfc0KFDc5999lnu9ddfz22xxRa5O++8syTz65u4vVdccUWuc+fOubZt2+auv/76wry33nor16xZs9w///nP3LJly3JTp07N9ejRIzd8+PA0/5133sm1bNkyd++99+a++uqr9HfjjTdO65Vifn0we/bs3Jlnnpnbaqutcg0aNMi9+eabhXlPPvlkrkOHDrkXXnght3jx4tw999yTW3/99dM+j0aNGpX2fbwfPwvxM9GzZ8/ckiVLSjK/PjjuuONyRx11VG7BggW5b775Jjds2LBc165dc19//XWa/73vfS8dWx9++GFu5syZuf322y937rnnFtZf1fOzYN68ebnWrVvnbr311rTvP/744/Q6zzvvvDT/pZdeym255Zbpc1L2Nm3atDQ/7pvNNtssHdvxN2/SpEnpO/Cxxx4ryXxWn/g9Gfd1PM5iWSaWaWLZZvz48SVZnup76KGHcm3atMk9++yzqRzx+9//Pn1fx+/q5ZVD4/EaPf/8846jElnZ34FFixblevXqlWvcuHH6Had25s6dm2vfvn3ulltuSb8Vjz/+eCrT5cvbFcUyw/bbb5/77W9/m76rYvkq7o9Y1qF2alp+PPzww3NnnHFG+i6L8r/zr732ml1RS4888khur732ynXq1Cm38847L3fZAQMGpO+zeCy9++67uR133DGdo1WX8KeMffbZJ3fHHXeUe4N69+6du+uuu2q6D1nDxeDi2GOPLTcthhrNmzdP/3/ggQdy3bt3T2FH3n333Zd+kEoxv76JJwRHH310CsUOPPDAcuHP+eefnzv11FPLLX/jjTfm+vfvn/7/05/+NPfjH/+43Px4P65Xivn1wb///e9UiIxfxA0bNiwX/hx66KGVQr3f/e536TMQxRAw7vu8+JmIn41//etfJZlf1+bMmROrgKUCd1nxWIonOHF6kyZNcp9++mlhXiyYx2kxUFjV87PipptuyvXp06fSiWcMbPMnlfljspibb745d9BBB5Wbdu211xYC79rOZ/UZPXp0bo899ig3LZZt+vbtW5Llqb54TMRjo2JZ8/bbby+6fPx9jQFRWWeddVYhxGXl1OZ34Pjjj8/98Y9/TCfJwp/ai78LRx55ZLlpV155ZW7QoEFFl48XzPbdd99y02JQdOmll5Zga9ZuNS0/xgu97733Xrlp3/nOd1KZn9q5+OKLc3/+859zf/vb35Yb/sSgrlWrVuUqpsQLNvHCfAxKq0OzrzLVQR9//PFUJbes2Dzh4YcfrmGlLdZ0sQnTY489VmgyEd1///1hp512Sv//97//Hfr16xcaNGhQmB8/O6+++mr49NNPaz2/vmncuHFqqhSrrlfUpUuX8J3vfKdS87AWLVqk/8fXWvG4is0L8sdVbefXB/vuu2+4+uqrU7XZsmK15H/961+pCue0adNSdf7YZG3IkCHpuyXu65dffjmtnxc/E/vvv396fbWdXx/E6qlnn312qiJcthlYnB4/I/F7N1Ydzn9eolglv1OnTuGZZ55Z5fOzolWrVuH73/9+lcfh7NmzU3OH2NwuVvO+9dZbU1OfvLXhOF1bVLUvYvPcJUuW1Hp5qideYI2f/5ocF7HsEb+/qzqOWTkr+ztwyy23pN/xH/3oR976Eqnpb8W9996bypixzBC7Yxg3blxqPl/jpi6UszLlx/j9FM+F8r788st0rpQ/N2Ll/frXvw6nnnpqufPCYuK++fa3vx022GCDwrTYrUT8rY7NKatD+FPmxzX+UJc9QYliYTkWmlm77LLLLuF3v/td6vvgxBNPDAcffHC44447Cm3vZ82alT4bFQOS2NdF/LzUdv6a5Ac/+EE48MADC/fffffdcO2114bvfe976X6x11r2uKrt/PosbnsMhP70pz+l9+Ppp59OJ+jx8xS/qOP82Oa9SZMmRV9fbefXB5tvvnn6PJQVw6/Y3j+2VS62fyu+xlU5PyuOOuqocNJJJ5Vrmx8Lx/lAKL7WZ599NgVxse+yeMITT4YeeeSR5R5nn332WQrrajuf1afYvoh9A+TLOrVdnuqJx2AMDmry+xVPAMpeZHn00UfDAw88EI477jhvey2szO9APDGOfTHedttt3vsSquq3Iv4uxQvxFcWLFPE4iiHFP//5z1Seiv3Vvfjii/ZLLfdDTcuP8QLmnXfeGQYMGJDOjbbddtvw29/+Np0zsXqUokzbcBVs1xopfrHEtG2ddcrnYeuuu65OxdZC77//frjxxhvDQQcdFPr06RPmz5+ffnBiJ5hDhw5Nn4n42ago/3mp7fw1VbwiEJPr+B7lr14We61lX2dt59dn8+bNS1dX4hdyvNoVxdpku+22W6p5Ef+uTZ+jeBzFMOKdd95JhbhoVR9La9p7VAqxUHzsscemq6mxg9Ooc+fO6QTyF7/4ReHKUrxaFzuFfu2116o8zqJYIK/tfFafYvsi7vOqPvM1XZ7q74doZX+/brrppnDRRRelC0+xhi0rr6a/AwsWLEhherzgt+GGG3rrS6iq34p4AT5eFFtvvfUqlaNuvvnmdPEsdoIeDRs2LJx55pnpggal2w8r+n6K50Bx3mGHHZY6sI+3uG/69u2bLvSx6pWiTCv8KZOYxV7/48lJ2WqhMYkulrCRbRdffHEKfa688srCtHgyFb/c4pde/EzEq3plLV26NH1+4rzazl/TxG2P71m8IhBHNolN2vKKvdayx1Vt59dnsSZhPPEt2xwnVtWMVZjjyGBHHHFEKmTGAk/Dhg0rvb54q838+uSll14KAwcOTM3d4ufkW9/6VpX7t+xriO/XqpyfNbFJV6zxE2tbxdEg8sr+v2xtodicIVbdruo4a9SoUfpNrO18Vp9i+yJ+T8TvojhKS22Xp/rf//GCYnxvy37XrOi7J9aUi78ZsQp/HOky1nKgdlb0O1OsRnP8vYqjS33wwQdpWvydjTXh4mhI+ZpxlGZfxP0Qa77nywUVj6M99tijEPxEMZiLFzIWL16cfmNYuf1Qk/Lj66+/Hq644op0cTyGPvnzogsuuKBQ/mfVi/vmlVdeqVWZVrOv/1/8wonV1yq2/Y1Js7aMa5/YP0vF/m3il12HDh3SvNjuteJn5fnnny8Mf1jb+Wua448/PrX7ja+hbPATFXutZY+r2s6vz+K+jM2+4sl1xcJ9vJoY93f79u3T+1bs9dV2fn0RT2Bi6BMLa7FGXdkCXty/saZK2b5FYtv+OKRur169Vvn8LIm1BGLoE/tqqRj2xOmTJk2q9DmM4dj666+/Vh+nWVPVvohlnGInVzVdnuqJV2Ljd0xNjosvvvgi/YbGWhBxPcFPadT0dyCeFI8ZMyY1ac/fYvATm83GGifUbl/U5JiI30PFylAx9KlYS4jqq2n5MZ77xHOgfPCTF8+V4jxW3/FTscbbzJkzUw252BdWtdSyc+pMue6661LP53Eowfywa7Fn8zhaDWuXn//857n999+/XG/qccjipk2bpmG94+hXsbf1cePGpXmxh/U40k5+9IHazq/PKo72FUeF2XTTTascMeM///lPGgpy+vTp6X78G4duf+KJJ0oyv76pONrXBRdckBs4cGChF/44tHYc+vfBBx9M93/1q1+lfZ+fHz8T8fXF4WVLMb+uxe/TOHTlDTfcUOUycXjLX/ziF+VGc4tDWa6u+VkQj5M4ck0clbCY//N//k96HxYuXJjuL168OI1oeOKJJxY+l/H3Lg4tHcVhX+Pw3yNGjCjJfFafTz75JI2mF8sw+WMwlm2uvvrqdP+DDz5Io+vkh/Nd0fKsvDicdRw9J/7m54dG3nDDDdM+yI/CF295cXTLOMps2ZFAKY3l/Q4sXbo0HRMzZsyocn2jfZXG22+/nX4r/vvf/6b78+fPT2WEOMpR9NZbb+WuueaacqMbxTJgHNI6it9bJ5xwQhqFjdpZUfkxjnb95JNPpv/PmjUrfXc9/vjjhfXjOdJ+++2XhoinNOJ7Xna0ry+++CI3bNiwNJpwFH8bttpqq0KZOt6PI67Fod+rS/hTRnwDzzjjjPTBj2/8xhtvnHv00UdLtDtZk8SCWjxhb9euXRqqNRbG2rdvn4aczIsnOa1bt87tuOOOKcg57rjjCoXpUsxfU8Kfww47LLf++uvnNtpoo3K3ssNODx8+PP3Y77777ulvxSCgtvPrc/gTfxyPOeaYVLjp169fKsRcddVVhflxn3/3u99Nn4H4WYifieeee65k8+taHJI1XmeI+63iZ+Tf//53YRjeHj16pLAgvk+77LJLuSF5V/X8LIhDQa+77rqV3uMYzOY/J6eeempugw02yO25555p+lFHHVUutJ0wYUIKAXbddddcixYtcueff36556jtfFafeLEilmFiWSaWaQYPHlwIFMaMGZO+s/MBxIqWp3bOPvvs9N7G7514XDzwwAOFeTF8OOSQQwr3O3funI7Risdx3B/UzvJ+B+K8Ro0aFQKIYoQ/pRPL0vG3Yrfddkuf74suuqgw749//GMKGeJJb97IkSNT2WmfffZJx0j//v1TaE3trKj8uNNOO+W+//3vF+7ffffd6bwonhPFc6P4/3iuVHZfUdrwJ4af8bwif3Emeuedd9L3Ufw+i2W5WFmhJvugQfxn1VRMWnPFDlpjFbY4EkqxTpVYe8S23XH0qtgWuWvXrql5RFmxn6jYWWqsOhmHWq6otvPro1hVOla1zb8Xsfpt7POnonjslG2jHavtxj4MqmpKUNv59UWsLh6bdFXsPH7OnDlh6tSpqVpm/DxVFOfHXvxjFdqK65Zifl2J/YbEpgzFxFEmyrY1f/vtt9P9OPxuMat6/posvsdVdaxc9vMWOx9/77330khr8XunovgY8TspdjBb7HNa2/msPvF7+dVXX0191cXmpxW/Tyt+jy5veWon9ucXv/9jubLsd16+GVJ+Wvz9KCb+5sYRQam9qn4Hih0TZcWRC+M+cF5QGrFz2vhb0a1btzTq1Ir2RezfJy4f+2GKv1+UTlXlx/iex++eitPieVH8roq/8/q/Kq1YhorvccXzp4rHQ4xv3njjjVTO2nTTTWv0HMIfAAAAgAyrP5eHAQAAACg54Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIatsvDn448/Dj//+c/DF198sdzlnnnmmXD22WeHE044IfzlL39ZVZsDAFDvvfbaa+Hyyy9f4XLjx48Pp512Whg8eHB44IEHVsu2AQBrrpKHP0uXLg1jx44NvXv3DldeeWX48ssvq1x20qRJ4cgjjwydO3cOAwYMCNddd1246KKLSr1JAAD1WrxYdtNNN4W999473Hzzzctd9rbbbgtDhgwJffr0CTvvvHMKgEaPHr3athUAWPM0yOVyuVI+4J///Odw7bXXhquuuir0798/fPLJJ6Fly5ZFl91zzz1TgeXkk09O92fOnBm6d+8e3njjjdC+fftSbhYAQL0Va0G/+eab4cQTTwwXXnhhmDFjRtHlFi9enMpIDz/8cOjVq1ea9thjj6Ua1NOnTw/rrKNFPwCwGsKfRYsWhaZNm4YFCxaEjTbaqMrwZ9asWWGLLbYI8+fPD40bNy5MP/TQQ8NBBx0UzjzzzKIFnnjLW7ZsWfj000/T4zdo0KCULwMAKKFY3Pjss89ScCGgqLr89Pjjj6cgp6rw55///Gf46U9/GiZPnlxueseOHVPtn1jzuiLlJwBYM5Wy/NQwlFgsuFTHtGnTQtu2bcsFP1GXLl3Slatihg0bFi677LKSbCcAsPrFUKNDhw7e+lqUn2JZqaJ8+alY+KP8BABrtlKUn0oe/lRXrPHTpEmTooWfOXPmFF1n6NCh4bzzzivcj7WLNttss/RGNGvWbJVuLwCw8hYuXJhqp2y44YbexlVUfpo3b17RdZSfAGDNVMryU52FP61atUovpKIY6LRu3broOo0aNUq3imLwI/wBgPpPM+3aUX4CgLVPgxJ0c1NnvQJ26tQp1fCJffaU9frrr4euXbvW1WYBANRb3bp1q9TfT+wDccqUKcpPAED9CH+mTp2aOjSMYifNcTSw4cOHF+a//PLL4cUXXwyHH3746twsAIB6KwY7S5YsSf+Pw7vHsGfChAmF+aNGjUq1pnv27FmHWwkA1GertdlX7IRw0KBB4Zprrkn349999903vP/++6FNmzbhzjvvDNdff30aJQwAYG03e/bs0L179zBixIhwyimnpJE+br/99jQi2HHHHZdCoTFjxoSxY8fW9aYCAGtj+BNH8Ro5cmS50SviEKSdO3cu3I/Nu55++ukwceLEMHfu3DBu3Liw4447rqpNAgCo17bZZptw3XXXFe63a9cu3HfffaFv376Faf369QuPPPJIuP/++0PDhg3Dk08+WXQEMACAvAa5OHD8Gip2GN28efPUSbQOnwGg/vKbXX/YFwCw9v1m11mHzwAAAACsesIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADGtY6gd85plnwqhRo8Knn34a+vfvH0466aQql83lcuHOO+8MDz30UPj8889Dz549wznnnBM22mijUm8WAEC9NX78+DBu3LjQsGHDcPTRR4cDDjigymW/+uqrcMMNN6QyV1y+d+/e4Ywzzgjrr7/+at1mAGAtrfkzadKkcOSRR4bOnTuHAQMGhOuuuy5cdNFFVS5/1llnhVtuuSUMGjQonHvuueGTTz4Ju+yySwqCAADWBrfddlsYMmRI6NOnT9h5553D4MGDw+jRo4suu3Tp0nRx7fnnnw9nnnlmOO2009JFtCOOOGK1bzcAsOZokIvVb0pkzz33TAWWk08+Od2fOXNm6N69e3jjjTdC+/btyy37zTffhKZNm4YZM2aE1q1bF6bvscceYejQoeGwww5b4fMtXLgwNG/ePCxYsCA0a9asVC8DACgxv9nFLV68OJWRHn744dCrV6807bHHHgsnnHBCmD59elhnnfLX6f773/+GQw45JEybNq0wL5apNtlkk/Daa6+FzTbbzL4AgIxYWMLMo2Q1f2bNmpWuQg0cOLAwrUOHDmGvvfZK1ZgritWUN95441SwyVu2bFn44IMPQps2baosIMUXX/YGALCmiqFP27ZtC8FP1Ldv39CgQYPUrKuieMFs3rx5YdGiRYVpseZ0DIBatGhR9DmUnwCAkvX5E69AxcJL48aNy03v0qVLuYAnLxZqrrnmmvDjH/84fO973wtNmjRJIdHBBx+cmn4VM2zYsHDZZZfZawBAJsTyUywrVZQvP8X+fMpq165d+NnPfhaOPfbYcPzxx6dmYLfffnv4zW9+EzbccMOiz6H8BACUrObP/PnzU4BTUWzaFa9QFROvXsXqSxMnTgwTJkwIL730UirsVNUSLTYHi8vnb7HJGADAmmplyk+xadc777yTyk6xDBWb2VdsXl+W8hMAULKaP61atSraDCuGNGX79Ml76623wlFHHZWqNG+11VaFasn77bdfWG+99VIH0BU1atQo3QAAsqCm5ad77703XH755ampfX501Dlz5qRmY3H52GSsIuUnAKBkNX86deqUCh9xiPeyXn/99dC1a9dKyz/11FOpoJIPfvKFkxgIPf744/YMAJB53bp1C5MnTy43LfaBOGXKlKLlp1hGih0+54OffIAUL54pPwEAqzz8admyZRp6dPjw4YVpL7/8cnjxxRfD4Ycfnu5PnTq10EHhFltsEf73v/+V67AwisvHIAkAIOvi8O4x7IlNuPJGjRqVavH07Nkz3Y9B0JIlSwrlp9hMvmwT+djvzyuvvKL8BACs+mZfUezAed999w3vv/9+GrHrzjvvDNdff33h6lTstHDQoEFpuVgtORZ44tDuJ554Yuoo+tFHH03hT7HRLQAAsiYO1x47bI5Dux933HEp5BkzZkwYO3Zsmj979uzQvXv3MGLEiHDKKaeE008/PfzlL39JNX0OO+ywFBzdfffdafjXWMYCACimQa6q3pVrMeR77Hxw7ty5qSbQjjvuWJgXqyN37tw5dOzYsdwQp88991z44osvUhOwY445JmywwQarfcx7AGDV8Zu9fG+++Wa4//77Q8OGDdPIp2VHABs/fny6aJYv68SaPnGE1Ni0PoZHsYbQoYcemkZStS8AIDsWljDzKHn4szopSALAmsFvdv1hXwDA2vebXbI+fwAAAACof4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGdaw1A/4zDPPhFGjRoVPP/009O/fP5x00knLXf6dd94Jt912W3jjjTfCtttuG84555zQpk2bUm8WAEC9NX78+DBu3LjQsGHDcPTRR4cDDjhgucs//fTTqbw1a9assMcee4QzzzwzNG7ceLVtLwCwFtf8mTRpUjjyyCND586dw4ABA8J1110XLrrooiqXf/vtt8O+++4bWrZsGU477bTw7rvvhr322it8/vnnpdwsAIB6K14EGzJkSOjTp0/Yeeedw+DBg8Po0aOrXP6hhx4KgwYNCjvssEMYOHBgCo7iXwCAqjTI5XK5UCJ77rlnKrCcfPLJ6f7MmTND9+7dU62e9u3bV1r+uOOOC7vvvnuq7RN988036erVZZddlsKjFVm4cGFo3rx5WLBgQWjWrFmpXgYAUGJ+s4tbvHhxKiM9/PDDoVevXmnaY489Fk444YQwffr0sM46la/TbbPNNuGmm24Ke++9d7ofa//E8tQTTzwRtthiC/sCADJiYQkzj5I1+4oFj+effz5djcrr0KFDqskTqzHH6shlffbZZ2HixInh1ltvTffnzZsXWrRoEV544YXlFpDirewbAQCwpoqhT9u2bQvBT9S3b9/QoEGD1JS+d+/e5ZZ/9tlnw7rrrlsIfmL5KYZHMSiqivITAFCyZl/Tpk1LhZeK7c27dOlStEASl499+zz33HNhp512Cj179gytW7cOd955Z5XPMWzYsJR65W8dO3a0BwGANVYsD8WyUkVVlZ9ik/lY8ydePOvRo0fqL7Fbt26p1k9VlJ8AgJKFP/Pnzw9NmjSpNL1p06bpqlRFH374Yaq5c8cdd6QCSyzg3HvvveGHP/xhePHFF4s+x9ChQ1N1p/xtxowZ9iAAsMZamfJTLCe9//774dVXXw2zZ89O5aPY5+LcuXOLPofyEwBQsvCnVatWRZthxZAm1uipKLZX+/jjj8Pll19eKPTEPoOOPfbY1EysmEaNGqX1yt4AANZUK1N+ik3nf/3rXxf6A4qDZsS+fmJfQcUoPwEAJQt/OnXqFObMmZOGeC/r9ddfD127dq20/GabbZb+xpG+KhZqFi1aZM8AAJkXm2xNnjy53LRly5aFKVOmFC0/bb755qmPxIodQSs/AQCrJfyJIU7//v3D8OHDC9NefvnlVDX58MMPT/enTp1aCHZi/0D77LNPGDNmTGH5r7/+OnUCHWsAAQBkXRzePYY9EyZMKEwbNWpUqvUT+0OMYhC0ZMmS9P9Ydvr888/DSy+9VFg+jq4ay1txxC8AgFU62ld0zTXXhH333Te1Q4+dOcfOm6+//vqw0UYbpflxxIpBgwal5aI//OEP4dBDD00hUawJ9Le//S1sv/324ZhjjinlZgEA1EuxBs/tt9+ehnY/7rjjUsgTL4yNHTs2zY99+nTv3j2MGDEinHLKKWH99ddPZatDDjkkDB48ODXpuvnmm8P5558fttpqq7p+OQBAPdUgl8vlSvmAccj3WHsndjoYawLtuOOOhXmPP/546Ny5c7lRuj744IPwz3/+M3XevMsuu6QwqC7GvAcAVh2/2cv35ptvhvvvvz80bNgwHHzwweVGABs/fnwa/r1sWSfWBnrooYdS/z/xwtsee+xhXwBAxpSy/FTy8Gd1UpAEgDWD3+z6w74AgLXvN7tkff4AAAAAUP8IfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADKs5OHPM888E84+++xwwgknhL/85S/VXi+Xy4Vhw4aF5557rtSbBABQr40fPz6cdtppYfDgweGBBx6o9nqLFi0KP//5z8PMmTNX6fYBAGu2koY/kyZNCkceeWTo3LlzGDBgQLjuuuvCRRddVK11f/vb36ZlX3vttVJuEgBAvXbbbbeFIUOGhD59+oSdd945BUCjR4+u1rqnn356KkN99NFHq3w7AYA1V8NSPtgFF1wQrrjiinDyySen+7EQ071793DWWWeF9u3bV7neE088Ee65555wwAEHlHJzAADqtcWLF6fy08MPPxx69eqVpm255ZapBvXAgQPDOutUfZ1u+PDhoUGDBmGzzTZbjVsMAKzVNX9mzZoVnn/++VRQyevQoUPYa6+9wrhx46pc7+OPPw4/+MEPwt/+9rewwQYbrLCAtHDhwnI3AIA1VQx92rZtWwh+or59+6ZQJzalr8oLL7wQbrnllnSLyy6P8hMAULLwZ9q0aanw0rhx43LTu3TpEqZPn150nWXLloXvfve74fLLL0/LrUjsE6h58+aFW8eOHe1BAGCNFctPxcpAyys/zZ8/P5xyyilh5MiRoWnTpit8DuUnAKBk4U8siDRp0qTS9FgomTdvXtF1fvnLX4btt98+HHXUUdV6jqFDh4YFCxYUbjNmzKj1dgMA1JWVKT/F5vU//elPQ48ePar1HMpPAEDJ+vxp1apV0WZYMaRp3bp1pekPPvhgqur82GOPVfs5GjVqlG4AAFlQ0/LTVVddldbJ969YHcpPAEDJwp9OnTqFOXPmhE8//TRsvPHGhemvv/56qppc0a233ho++OCDsOuuuxamvffee+HFF18M119/fXj55ZftHQAg07p16xYmT55cqVn8lClTQteuXSstf/PNN4eGDRuGHXbYoVy/i7EZfZx21113rZbtBgDW0vCnZcuWoX///mnkiYsvvjhNiwFODHPuvffedH/q1KnpKlasyhyX++KLL8o9RhzatF+/fmHQoEGl2iwAgHorjowaw54JEyaEQw45JE0bNWpUKi/17Nkz3Y9BUBwBLIY+scb0kiVLyj3Gt7/97VQjKA4TDwCwyod6v+aaa8K+++4b3n///dCmTZtw5513plo8G220UZrfu3fvFOzE5WKV5YpiZ9GbbLJJ2HzzzUu5WQAA9VIcyv32229PQ7sfd9xxKdgZM2ZMGDt2bJo/e/bs0L179zBixIhUk3rTTTet9BgxFGrfvn1o165dHbwCAGCtC39i9eSnn346TJw4McydOzcN8b7jjjsW5o8ePTp07ty5yvXPPffcNDw8AMDaItZ6fuSRR8L999+fgpwnn3yyMAJYDHTuu+++NPx7Va6++urU/B4AoCoNcrlcLqyhYgeJccj32Clis2bN6npzAIAq+M2uP+wLAFj7frNLNtQ7AAAAAPWP8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDGpb6AZ955pkwatSo8Omnn4b+/fuHk046abnLv/jii+HPf/5z+OCDD0LPnj3DueeeG1q0aFHqzQIAqLfGjx8fxo0bFxo2bBiOPvrocMABByx3+YkTJ4Z77rknLFy4MOy1117hBz/4QVh//fVX2/YCAGtxzZ9JkyaFI488MnTu3DkMGDAgXHfddeGiiy6qcvkHH3wwHHTQQaFHjx7hhz/8YZg9e3bo3bt3+OKLL0q5WQAA9dZtt90WhgwZEvr06RN23nnnMHjw4DB69Ogql7/66qvDOeecky6ynXLKKWHChAlh4MCBq3WbAYA1S4NcLpcr1YPtueeeqcBy8sknp/szZ84M3bt3D2+88UZo3759peV32GGH8KMf/Sh873vfK0zbbrvtwmWXXRaOOuqoFT5fvNrVvHnzsGDBgtCsWbNSvQwAoMT8Zhe3ePHiVEZ6+OGHQ69evdK0xx57LJxwwglh+vTpYZ11yl+nixfIWrVqFZ544omw0047pWmff/55aNmyZZgyZUq6AGdfAEA2LCxh5lGymj+zZs0Kzz//fLkrTx06dEhVkWM15oqWLl0aPvnkk9CvX79y0+MLiy+wqgJSnFf2BgCwpoqhT9u2bQvBT9S3b9/QoEGD1JS+ovfffz8tnw9+om9961upyZfyEwCwysOfadOmpcJI48aNy03v0qVLunJV0brrrhtmzJgROnXqVK7/n//+979hn332Kfocw4YNS+FQ/taxY8dSbT4AwGoXy0+xrFRRVeWnbbfdNrz77rvlpo0cOTL1lxhrWxej/AQAlCz8mT9/fmjSpEml6U2bNg3z5s1b4fqxinPsJ+i3v/1t2HzzzYsuM3To0FTdKX+L4REAwJqqtuWnESNGpMEybr/99rDeeusVXUb5CQAo2Whfsf15serGMaRp3bp1lestW7YsXH755WH48OHhT3/6UzjkkEOqXLZRo0bpBgCQBStbfor9/MTBMp577rnwyCOPlGs2VpHyEwBQsvAnNt+aM2dOGuJ94403Lkx//fXX00gUVfXhc+yxx6b+gl544YXURxAAwNqiW7duYfLkyZUujMXOm7t27Vp0nY8++igNBR/XjU3mi9UcAgBYJc2+4igTccjRWIMn7+WXX06FksMPPzzdnzp1ali0aFFh/iWXXJKGd48jVgh+AIC1TRzePYY9cbj2vFGjRqVaPz179kz3YxC0ZMmSwvyTTjop1fQZM2aM4AcAWP1Dvb/zzjth3333Dfvvv39o06ZNuPPOO1OTrlhIiWKH0IMGDQrXXHNNGu0rtmffcccdKw1LGmsDLa/5V55hYwFgzeA3u2qx2VYc2v24445LIU8MdcaOHRt23333dJEsDgUf+/aJNaljEBQ7do79JMZOnsv66U9/Grbffnv7AgAyYmEJh3ovWbOvKFZPfvrpp8PEiRPD3Llz0xDvMdzJGz16dCHo+frrr1MfP8WUHQEMACDL+vXrlwKg+++/PzRs2DA8+eSThRHA2rVrF+677740/HsUC4BxdK+q+g8CAFjlNX9WN1cRAWDN4De7/rAvAGDt+80uWZ8/AAAAANQ/wh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAME/4AAAAAZJjwBwAAACDDhD8AAAAAGSb8AQAAAMgw4Q8AAABAhgl/AAAAADJM+AMAAACQYcIfAAAAgAwT/gAAAABkmPAHAAAAIMOEPwAAAAAZJvwBAAAAyDDhDwAAAECGCX8AAAAAMkz4AwAAAJBhwh8AAACADBP+AAAAAGSY8AcAAAAgw4Q/AAAAABkm/AEAAADIMOEPAAAAQIYJfwAAAAAyTPgDAAAAkGHCHwAAAIAMa1jqB3zmmWfCqFGjwqeffhr69+8fTjrppJIuDwCQNePHjw/jxo0LDRs2DEcffXQ44IADSro8ALB2K2nNn0mTJoUjjzwydO7cOQwYMCBcd9114aKLLirZ8gAAWXPbbbeFIUOGhD59+oSdd945DB48OIwePbpkywMANMjlcrlSvQ177rlnKoCcfPLJ6f7MmTND9+7dwxtvvBHat29f6+UrWrhwYWjevHlYsGBBaNasmb0JAPWU3+ziFi9enMo8Dz/8cOjVq1ea9thjj4UTTjghTJ8+Payzzjq1Wt6+AIA1VynLTyVr9jVr1qzw/PPPh4ceeqgwrUOHDmGvvfZK1ZLPPPPMWi2fL/DEW158A/JvCABQf+V/q0t4zSkTYojTtm3bQpAT9e3bNzRo0CA1je/du3etlo+UnwBgzVTK8lPJwp9p06alwkjjxo3LTe/SpUu6ElXb5aNhw4aFyy67rNL0jh071nr7AYBVb+7cuekKFv+vPBTLPhXly0MVw5yaLh8pPwHAmq0U5aeShT/z588PTZo0qTS9adOmYc6cObVePho6dGg477zzyj3G5ptvngo7CpJ1m0bGAG7GjBma39Ux+6L+sC/qB/uh/oi1dTfbbLOw8cYb1/Wm1CvLKw/Nmzev1stHyk/1k++n+sO+qB/sh/rj/2vvfqBrLv84gD9qTCRjttlMtomtsDGEQmYjf9LSadpEkUWlHNXhKCQqxOkYoyLCweJs+S8JZcXC2pbM0PyZMJL8nT/5s+d33s853/u793bv3b37frdu1/t1zsq9e+45O9/P/T7f5/v5Ps/zYSw8c/xkWPLHz8/P5vIr/LH+/v6624O3t7f6sYbED/f8+fchBoyDe2As3Adj4R4YB/fhzJ40dxKOn4j9k/tgLNwD4+A+GAvPGj8ZNgILDQ1VM3ZQst1cfn6+eOCBB3S3JyIiIvI0TZo0Efv27bN4r7S0VBQUFNgcD7nanoiIiMjQ5I+vr6/o3r27+OSTT0zv5eXliZycHBEfH69eHzlyRJSUlDjdnoiIiMiToVw7kjfr1683vZeWlqZmQUdFRanXSOzcunXL6fZEREREFbbsC1JSUkRsbKwoKioSAQEBYsmSJWL27NnCx8dH/R6bECYmJqp2zrQvC5aATZgwweZSMKo8jIP7YCzcB2PhHhgH98FY2J/GvWjRIlWqPSkpSSV50tPTxcqVK9XvT506JZo1ayYWLlwoBg0aVGZ7xuK/g+eE+2As3APj4D4YC8+MRRVpcM1VlHDfsGGD2o0aM3uio6NNv8vMzBRhYWEW1bkctSciIiK6Exw4cEBs3LhReHl5iV69ellU9Fq7dq0q526+r56j9kREREQVnvwhIiIiIiIiIiL3wZIbREREREREREQejMkfIiIiIiIiIiIPxuQPEREREREREZEH+08kf1zdlojbGFUcxsJ98HvuHnhOuA/GgojnhLti/0TEc8JdsX+6c+4D3Tr5c+XKFdG/f3/h7+8vQkJCxHvvvWdoe3JeVlaW6NChg6o00q5dO1W5zZHt27eLtm3bqvZBQUFi0qRJTFYYZPLkyapqnp+fn+jXr5+4dOmSU5+7cOGCePTRR0VGRoZRf8od7ezZsyI+Pl74+vqKpk2bipkzZzps//fff4uXXnpJNGjQQJ0XzzzzjDhz5kyl/b2e7OuvvxatW7dWx7VTp05iz549dtvevHlTjB07VgQHB6trBc6lWbNmVerf6+mWL18uWrRoUeagZdSoUar6Z/369cWLL76ozhEyxvHjx8Xjjz8ufHx8VJl4lIY3sj05Ly0tTZ0POLZxcXHiyJEjDtsvW7ZMhIeHi3vvvVc0adJELF26lIfbAOj7hw0bJgIDA9V1eOTIkaK0tNSpzxYUFIjmzZuLffv2MRYGwPF87LHH1DW7VatWYs2aNQ7b//nnn2q8Va9ePTXmGj58uLhx4wZjYYA5c+ao/qZu3bqiT58+DselqMw9aNAgdc0OCAgQkZGRqhIlGWfixInq/qBC8x3SjfXu3VsOGTJE/vXXX/Lw4cMyOjpaTp061bD25JyjR49KX19fmZGRIa9fvy7Xrl0r69atK/fv32+zPY79fffdJ9etWydLS0tlUVGRjIyMlLNmzeIh1yk1NVW2aNFCFhYWyvPnz8tXXnlFdunSxanPxsfHSx8fHzl//nzGQSd8r9u0aSNHjx4tL126JAsKCmRYWJhctGiR3c8kJCTI5ORk1f7EiRPyqaeekn369GEsdMrNzVX90ZYtW1T/tHjxYunv7y+Li4tttp8wYYKMjY2VZ86cUa8PHTokIyIi5PLlyxkLnXAe9OvXT50LXl5eDtuOHTtWdu7cWf7+++8qFvhcYmIiY2AAnAdNmzaVU6ZMkVeuXJE5OTkyMDBQXbuNaE/O27x5swwICJC7du2SV69elR9//LEMCQmRly9fttl+w4YN6tijX4Ps7GxZr149uW3bNh52nXB/gOvu6dOn1TU4Li5Ojhw5sszPlZSUyJYtW8oaNWrIn3/+mXHQCfdoQUFBct68efLatWsyMzNTXcOzsrJstr9586a6h5g2bZrqqw4cOKDi8fbbbzMWOqWlpan+KD8/X/VJOKZRUVHy1q1bdu8jhg0bpvoy2LFjh+qf9u7dy1jo9N1336kxUWhoqLq/cERvvsNtkz/4Ivr5+amOQYMBSf369VVHoLc9OQ+dAZIM5t544w27F80xY8bIgQMHWrz3+eefy65du/Kw60w4NGrUSHW2mhs3bsgGDRqUOSCZPn26aeDD5I9+W7duleHh4fL27dsWg/bmzZvbbI/BSnBwsEVfdOzYMXURtXeRJecMHjxYTpw40eK9pKQkuxdCXFxXrVpl8d7kyZNVLEgf9C0ffvih3LNnj8PkDwaOtWvXVoMWDZKitWrVUucF6bNixQrZoUMHi/eQFLX3oMDV9uS8nj17yrlz51q8FxMTY/dBQY8ePVSCyNzw4cPlm2++ycOuAxI+NWvWlOfOnTO9hwQQ3rt48aLDzz733HPqwRtukpn80W/mzJmyb9++Fu999NFHdpP/X331lXpgYw6JIjzIIX1atWol16xZY3Gf0axZM/nNN9/YbI8H+5gQYA4Pbj799FOGQqdx48bJL774Qn755ZcOkz9G5DvcdtnX1q1bRceOHUX16tVN70VHR4tbt26p6YJ625PztmzZoqYqm8P0cBxzW0JDQ0ViYqLFe3/88YeoU6cOD7sOhYWFaspl+/btTe9VrVpVxMTE2I0F7NixQy3DSE1N5fE38Jzo2rWruOuu/3ehsbGxYv/+/TanzK5evVr07dtXLXXBkknEA5/97LPPxN133824VGL/1KZNG7Fx40bTa8Rk06ZNatkY6TNkyBDxzjvvCG9vb4ftsrOz1RRzLLnT1KpVSy0p3rZtG8NQQefEDz/8oMZEetuTc9C3oB9ytX/q1q2bxXscP+mH6y6WqJiPQ7H0C+PVnTt32v3cvHnz1PKi1157zYC/gspzzV61apXa4gBLXdavX6/GUxEREdzaQ6dz586JvLw8NXbVVKlSRfU/zo6frl27pq7ZHD/p9/7774vBgwerGDhiRL7DbZM/xcXFal2uNbx36tQp3e1JXywcHdehQ4eKXr16mV4fPXpUzJgxQ90YkL44YH2necKhrFhgnTT2mcGeA/fccw8PfwWeE7jhxQ2trVhgPw2sbccAB/s3YI009g9YuXIlY6Lz5ur06dMu9U+4wGL/K+wN9MILL4iWLVuKhx9+mP1TJeL1uvKPL64dWiJBb3tyDh7WIHHgav9kvl/W999/r5LTSUlJPOyV3Ofgxnj27NliwYIFPPaVcE+BfRSxL5Ot8RPOIyQpsL/f/PnzxYMPPihycnIYF51xwLi0Zs2aTp8T2I9syZIlonfv3mLgwIHioYceEtOmTVN7vNJ/Z/zkJdwUTnRbT8Txnq1NvlxtT/pi4exx/fbbb9UN1ltvvSV69uzJw66Do+84nohYw0aGAwYMUE9HsCExGcfV/ub8+fNixYoVYvfu3epJI6xbt05l+ZEoNc/gk/Nu376tflzpn/DUCpt24tjff//9Kh5IwmFmFja1p4rH63XlH188TXRl/OSoPTkfByjv+AkzQ7E5/eLFi0Xjxo152Cuxz7l48aJ4/vnn1cMazEqkir+nwMMczF7AjHbr8dPcuXPFTz/9pDZBhylTpohXX31V7Nq1i6ExMA5l9U8oBIDfPfnkk2oDe/wgNl26dBGNGjViLP4j4ye3Tf4gg/XLL7/8431khu1lvFxpT67FAk+wXDmuSDy8++67YuHChSpLbD3Fk4yJgxYLW53u9OnTVceMCl8nT540TdHEVE+8xpRnMi4W+M5jkGLrvEBVhM6dO5sSP4CqCkhcHDx4UERFRTEU5eDl5aWqfyAWSOSU1T9dv35dVarAchZUGIGEhASVHMWMxb179zIO/3Jfhv6KjD++uJnFU3VUadHbnpyDfh8zdXFszfujssZPJSUlIjk5WU3hR+VUzHKgiutzbMXi5ZdfVtcGXF+08RMSE5gJh6Xd2sw4MiYWiEPt2rVtzlDHeYQHM1riB5CYGz9+vKoQWdYyY7IfB/Tz+F5jLFXWOZGfny+mTp0qioqK1L0FPPvss2L06NFi3Lhx6l6PKp4R+Q63XfaFdYXWGd0TJ06omyus9dTbnlyLhfWaaGTgHa3xxHTAzZs3q70dmPgxBkq+IlmAvX+ciQUGKRg89ujRw/STlZUlUlJS1L/J2HMiNzdXLfsKCgr6R3tMjUXizRwuuEhG8Kli5fVPGHBilhxKWZvDMotjx47p/EvIWVhqh3LXWH5nnjzFNZx7B1TcOYF+yNbNlavtyTl4Eovvuivjp6tXr6r95DALAp9j4scY+I5jmZD5Hla4FmAWKGJkDTfF6enpFuMnjKlGjBihZpyQvli4ck7YGj8hQYqkj/UsIXIeEvsYr+I+zZlYYIwUHBxsSvxoOH6qXIbkO6Sbwo7jqKYzZ84c02vsKI6KRVq1EJQlRZkzZ9pT+e3cuVOVYUTJdjh58qTaaRxl6SAvL09V89IsW7ZM7TqOUuRkrBEjRqhSi/h+w4IFC1QFMK1iFF5j13d7WO3LGNhlH+V7UYUCcPxRGQflqwH9EvonrRwmSmjiHDIv1/vBBx+oSgtaLKl8UI4aldTOnj1rKjeOihRa6dEff/zRoow7KrZo1wlAxbbXX39dVeUhY6C6nXW1L1R4OXjwoOk1rs9Dhw41vUaVsNatWzMEBsC5gGpq2jUa5ZHR18yYMcN0DUd1He26UVZ7Kj+Us0b1nCtXrqjXqNaJqnaIgVYlEj+aUaNGyUceeYTXhQqASo/jx483vUa/j5LJ2nUA58Tx48ftfp7VvoxRWFiortGoCgkXLlxQ5a1R5Qh+++03mZKSYlHdCOXEteqQ6LcGDBigqrCRPpMmTZKdOnUyVYlavXq19PX1lSUlJeo1xk4YQ0FxcbHquzIzMy3GwnFxcaoqNBkDx9y82ldF5DvcNvkDhw4dUp0tyiejnHW3bt1MN1PoDDC41AYrZbUnfVCqFJ11+/bt1f8xkNfghhc3X5qnn35aVq1aVfr4+Fj8WJeSJddhUI7BSmBgoIyMjJQNGzZUN7saJILGjBlj9/NM/hgnNzdXJYBwk+Tv7686X+0Cin4J/RP6Kc327dtV3HChRezwg5tk0g+JNNy8tmvXTvVPaWlppt/hgmh+Ic3OzpYRERHq+ONcaty4sezYsSNLjFdg8gf9FuJjPqBHeWXc5KLPQjwwmHF040WuQaIZCWd89zGYR6JNSzSnp6fLatWqmRIQZbUn/Q9tcGzbtm0r69SpIzdt2mT6HfqgJ554wvQ6LCxMVq9e/R/jJ/NEKZW/3DvuD5o2baqSDYiHVvodv/P29jYlIGxh8sc4eHCmXbPx/dYenEFqaqpKMpjfvy1dulQlgGJiYtQ50r17d9MDHyo/JNL69++vHuhHR0ersezu3btNv8cDmeTkZNPrjIwMNY7FtRsPzPDvhIQE3mtXYPKnIvIdVfAf4cbw56F8MtaCWu9RgmmA1lOSHbUnfXC8sYwI05Br1Khh8TssX9E2rcV0TCxPsoa171ziYgzs6I4lLFi+Yl4W0DwO9qaUY21vtWrVDPpL7mxYqoJ10Jg+a70HgK3+CecFziFMVcY+M9aV26j80O9g/yRUUTPfAwAxwt4l1u9h2RGm8Tds2NBivyDSD8f38uXL6jrs6HzQppKj3woPD+ehNxj6m19//VXtCYclqc70T/bakz5Y4og+B+XGzffX0JYhae9huZEtuGZYj7uofLB0HsfbfA8+R32UBn0aYmBrs1VyHTanxT572NIAVafKigX290F77MMUEhLCQ24gVAZGFSks4TIfl+KYo++xfu/w4cOqr8JG9Nz/ylgYr+IYm+9xZXS+w+2TP0REREREREREVH587ExERERERERE5MGY/CEiIiIiIiIi8mBM/hAREREREREReTAmf4iIiIiIiIiIPBiTP0REREREREREHozJHyIiIiIiIiIiD8bkDxERERERERGRB2Pyh4iIiIiIiIjIgzH5Q0RERERERETkwZj8ISIiIiIiIiISnut/fuOPnnC97KUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "图表已成功生成 ✅。下面是完整的分析报告：\n",
      "\n",
      "---\n",
      "\n",
      "## 📊 员工薪资分布分析报告\n",
      "\n",
      "### 一、数据概览\n",
      "本次共分析 **5 名员工**的薪资数据，涵盖 **3 个部门**：技术部、销售部、人力资源。\n",
      "\n",
      "### 二、核心统计指标\n",
      "\n",
      "| 指标 | 数值 | 解读 |\n",
      "|------|------|------|\n",
      "| 平均薪资 | ¥13,800 | 整体水平 |\n",
      "| 中位数薪资 | ¥16,000 | ⚠️ **高于均值 2,200 元**，说明分布被低值拉低 |\n",
      "| 最低薪资 | ¥5,000 | 人力资源部 |\n",
      "| 最高薪资 | ¥20,000 | 技术部 |\n",
      "| 极差 | ¥15,000 | 高低差 4 倍 |\n",
      "| 标准差 | ¥5,891 | 离散程度较大 |\n",
      "| 变异系数 | **42.7%** | ⚠️ **远超 30%**，说明薪资结构很不均衡 |\n",
      "\n",
      "### 三、可视化解读（4 张子图）\n",
      "\n",
      "**📈 图 1 - 薪资直方图**：5 人分布在 4 个区间，其中 **16k-20k 区间占比 40%**（2 人），是最集中的区间；12k-16k 区间为空。\n",
      "\n",
      "**📊 图 2 - 部门平均薪资对比**：\n",
      "- 🥇 技术部：**¥18,000**（n=2）\n",
      "- 🥈 销售部：¥14,000（n=2）\n",
      "- 🥉 人力资源：¥5,000（n=1）\n",
      "- 红色虚线为整体均值 ¥13,800，仅销售部和人力资源接近\n",
      "\n",
      "**📦 图 3 - 部门箱线图**：可看出技术部和销售部薪资分布有重叠区间（16k-17k），而人力资源部明显是离群低位。\n",
      "\n",
      "**📉 图 4 - 累计分布图**：40% 的员工薪资 ≤ ¥11,000，60% ≤ ¥16,000，100% ≤ ¥20,000。\n",
      "\n",
      "### 💡 关键业务洞察\n",
      "\n",
      "1. **分布严重右偏**：均值 ¥13,800 < 中位数 ¥16,000，说明**存在一个明显低值**（人力资源的 ¥5,000）把均值拉低了。\n",
      "\n",
      "2. **部门薪酬差距悬殊**：\n",
      "   - 技术部是人力资源的 **3.6 倍**\n",
      "   - 这种差距在 5 人小样本下尤其需要核实岗位级别、职级体系是否合理\n",
      "\n",
      "3. **人力资源部 ¥5,000 异常偏低**：\n",
      "   - 即使考虑样本小，也显著低于行业 HR 岗位的常见起薪水平\n",
      "   - 建议核实：是**兼职/实习岗位**？还是**数据录入错误**？或是真实的薪酬竞争力不足？\n",
      "\n",
      "4. **变异系数 42.7% 过高**：意味着员工的薪酬体验差异巨大，长期可能影响团队稳定性。\n",
      "\n",
      "### ⚠️ 分析局限性说明\n",
      "\n",
      "- **样本量仅 5 人**，任何统计结论都需要谨慎对待\n",
      "- 中位数与均值差距在更小样本中容易被极端值主导\n",
      "- 建议补充以下维度后再分析：**司龄、职级、岗位类型、绩效等级**，这些往往是解释薪资差异的关键变量\n",
      "\n",
      "> 📁 图表文件已保存为 `salary_analysis.png`，可直接用于汇报材料。\n"
     ]
    }
   ],
   "source": [
    "result = run_data_analysis(\"请分析一下员工薪资的分布情况，并画出直方图\")\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "4df95e53",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ 合并 Agent 创建完成（已挂载对话记忆），共 5 个工具：\n",
      "   - sql_db_query\n",
      "   - sql_db_schema\n",
      "   - sql_db_list_tables\n",
      "   - sql_db_query_checker\n",
      "   - execute_python_code\n"
     ]
    }
   ],
   "source": [
    "# ============================================================\n",
    "# 合并方案：单 Agent + LLM 自主调度工具 + 对话记忆\n",
    "# ============================================================\n",
    "# 把 SQL 工具包（4 个）和 Python 沙箱工具（1 个）放进同一个 Agent，\n",
    "# 删掉手写的意图分类 + 硬路由，由 LLM 自己决定何时取数、何时画图。\n",
    "# 再挂一个 checkpointer，开启短期对话记忆（能追问）。\n",
    "#\n",
    "# 注意：create_agent 是 LangGraph 架构，记忆要用 checkpointer，\n",
    "#      不能用旧版的 ConversationBufferMemory / ConversationChain（不兼容）。\n",
    "from langchain.agents import create_agent\n",
    "from langgraph.checkpoint.memory import InMemorySaver\n",
    "\n",
    "# 5 个工具一起交给同一个 Agent\n",
    "all_tools = toolkit.get_tools() + [execute_python_code]\n",
    "\n",
    "UNIFIED_PROMPT = \"\"\"你是一名全能数据分析师，同时具备 SQL 查询和 Python 可视化两套能力。\n",
    "\n",
    "## 你的工具\n",
    "### 取数类（操作数据库）\n",
    "- sql_db_list_tables   — 列出所有表\n",
    "- sql_db_schema        — 查看表结构\n",
    "- sql_db_query_checker — 执行前检查 SQL 语法\n",
    "- sql_db_query         — 执行 SQL 并返回结果\n",
    "\n",
    "### 分析画图类（执行 Python）\n",
    "- execute_python_code  — 在沙箱里运行 pandas / matplotlib / seaborn / numpy\n",
    "  沙箱已预载三张全量表的 DataFrame，可直接使用：\n",
    "    employees_df（id, name, department, salary, hire_date）\n",
    "    products_df （id, product_name, category, price, stock）\n",
    "    orders_df   （id, employee_id, product_id, quantity, order_date）\n",
    "\n",
    "## 如何选择工具（你自己判断，不要问用户）\n",
    "1. 用户只要一个精确数值/列表（“多少人”“列出技术部员工”）→ 直接走 SQL 工具。\n",
    "2. 用户要统计分析或图表（“分布”“对比”“画图”“饼图/柱状图”）→ 直接用 execute_python_code，\n",
    "   沙箱里的全量 DataFrame 够用，无需再查库。\n",
    "3. 既要精确数又要图 → 先 SQL 取数说明数值，再用 Python 画图。\n",
    "4. 不确定表结构时，先 sql_db_list_tables / sql_db_schema 探明，再动手。\n",
    "\n",
    "## 多轮对话\n",
    "- 你具备对话记忆，能看到本轮对话的历史消息。\n",
    "- 用户用“他们”“这些”“上面那个”等指代时，结合上文理解，不要反问已经说过的内容。\n",
    "\n",
    "## 代码规范（execute_python_code 内）\n",
    "- 画图前设中文字体：plt.rcParams['font.sans-serif'] = ['SimHei', 'PingFang SC', 'DejaVu Sans']\n",
    "- plt.rcParams['axes.unicode_minus'] = False\n",
    "- 统一 plt.figure(figsize=(10, 6))，必须有标题和坐标轴标签\n",
    "- 图表标题用英文避免渲染问题，但用中文向用户解释结果\n",
    "- 用 print() 输出关键统计量，不要只画图不说话\n",
    "- 每次只执行一段完整代码\n",
    "\n",
    "## 约束\n",
    "- 只用数据库里实际存在的表和字段，不要编造\n",
    "- SQL 单次结果限制 50 条以内\n",
    "- 出错时分析原因并自我修正\n",
    "- 回答简洁专业，给出业务洞察而非干巴巴的数字\n",
    "\"\"\"\n",
    "\n",
    "# checkpointer：短期对话记忆的存储后端\n",
    "# InMemorySaver 把每个 thread_id 的历史消息存在内存里（重启 kernel 即清空）\n",
    "memory = InMemorySaver()\n",
    "\n",
    "# 一行组装，无需再套编排器；传入 checkpointer 即开启对话记忆\n",
    "agent = create_agent(\n",
    "    model=llm,\n",
    "    tools=all_tools,\n",
    "    system_prompt=UNIFIED_PROMPT,\n",
    "    checkpointer=memory,  # ← 开启对话记忆：按 thread_id 自动记住历史\n",
    ")\n",
    "\n",
    "print(f\"✅ 合并 Agent 创建完成（已挂载对话记忆），共 {len(all_tools)} 个工具：\")\n",
    "for t in all_tools:\n",
    "    print(f\"   - {t.name}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "687cb0d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3kAAAKyCAYAAABoqBcWAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlcelbwAAAAlwSFlzAAAPYQAAD2EBqD+naQAAcV9JREFUeJzt3Qec3HWd//H3bO8lm930RhJIIHRCR6SIKAoI9oZ66Knn3alnub/1bFhOz3KnomADAQUEpDfpnRBCerLZbLK99zrt9398v5lZdrMpO7sz85vyevIYdqfs7He+M9n5vef7/X6+HsdxHAEAAAAAUkKG2w0AAAAAAEQPIQ8AAAAAUgghDwAAAABSCCEPAAAAAFIIIQ8AAAAAUgghDwAAAABSCCEPAAAAAFIIIQ8AAAAAUgghDwAAAABSCCEPAAAAAFIIIQ8AAAAAUkiW2w0AgOm49tprVVBQoA9/+MMJ24GO48jj8SgRbN++Xb/5zW+0detWDQ4OaunSpbryyit1+eWXT2jjaaedpm9+85t661vfqkQT67b94Ac/UGNj44TLSkpKbF9dccUVqqioUKx9+9vfVlNTk319J8Jrsr6+Xn/961+1fv161dXV6YgjjtCb3/xmve9971NGRkbS/7sAgFTFSB6ApHTffffpkUceUaIyQeTOO+9UIrj11lt17LHHqqGhwR6gv/Od71R2drbe+9732oP18TZu3Kju7m4loli3zYSZxx9/XCMjI/Y0PDysnTt36jvf+Y6WLVumhx9+WLFmQlVNTU1CvCbNv6+TTjpJN954oyorK23QLSoq0r/8y7/YwN3X1xfzNgAApoeRPACIAXOA/E//9E+u960ZNfnkJz+pb3zjG/r6178+4boPfvCDetOb3mRDnzlBtj9++tOfTugKr9er97znPbr66qvtaFY6vCY3b96st7zlLfr3f/93/ehHP1JmZubYdd/61rf0xje+UR/96Ef1t7/9LWZtAABMHyEPQEowB49r1qwZ+76zs1NnnnmmHXEwnnrqKc2ePVtHH330pGmMLS0t9qDVMKM3jz32mLZs2WJHb84++2zNmzdvyr/nlVdeUUdHh4LBoF599VU78nHkkUfa+wqHrieffHLsutNPP92Osu3/WMxlZlrlHXfcofLycnsfB2q/aftrr72mN7zhDcrPz5/UL21tbXb0a+3atZOuu+CCC3TeeefpiSeemBTy2tvbbTuam5t11lln2XaO19/fr3vuuUd79uyx0xhNH4x/HAd6DCYkTaWPD8f87n/84x+qra21j8v8fNjBnufD9dOh5OTk2KB88cUX2/uZO3fuIR/fVJ7j8f2wbds2nXLKKRMex/6vt/H9Y15b4VE2M8Jm+P1++zxu2LDBTmM+99xzdcwxx0zpNXkgX/3qV3XyySfrJz/5yaTrzO80QdiMypnXV1VV1WFfE4drw1ReE2Z01Txu82/2uOOOs8+lGZ02r1Xzu8Li/W8MABKSAwBJ6G1ve5vzwQ9+cOx8Xl6e8+///u/OypUrnXe/+93OmWee6Zg/cddcc429/qqrrnKOPfbYSfdzyimnOO973/vs9zU1NfY2K1ascD7wgQ8455xzjlNaWurcc889U/49//zP/+ysWbPGXrZo0SL7/fXXX2+v6+7udt761rc6s2bNcq644grnTW96k72/L3/5y04wGJzwO775zW86RUVFzvz5852SkhLn4x//uHPMMcdMav9nPvMZZ+nSpRN+fn9HHnmkc+qppzp79+49bL+Gf/dxxx3nvPe97x17fN///vfHbvPyyy/bx7B48WLn/e9/v/OWt7zFyc7Odn784x8f8jFMtY8P1baf/vSnzkknneRceeWVztvf/nansLDQPrder9feZib9dMIJJzif/exnD3idaZ/ph46OjkM+vqk+x42Njc7JJ5/sLFiwwL7+LrzwQued73yn89GPftR+P/4x//nPf57QlpGREduWe++9155vbW113vCGNzhz5sxx3vWudznHH3+8k5GRYdt3uNfkgQwMDNjb3nLLLQe9jXkspi/C/X6418Sh2jCV10R9fb19fkx/mduYfjWvTfN8mcvD3Po3BgCJhpAHIGVC3rx585zm5uaxy772ta/Zy82B3+OPP24PMDdu3Dh2/Y4dO+xlDz/8sD1/1llnOZdddpkzOjo6dhtzIFpcXGzvYyq/JywrK8u5/fbbJ7T5E5/4hA2HDQ0NY5c9++yzTkFBwYQDeXNf5nTHHXeMXfbKK6/Ytr7wwgtjl5l2moPZ733ve4fsq+rqantQnZmZaQPE//3f/zlNTU0HvK35vSYsjG/j5z//eXt5X1+fPX/iiSfaA/FAIDB2m+uuu87Jzc11Ojs7D/oYptrHB2Pub/bs2c5rr702dtmmTZtsIDCPaab9dLCQ19PT47zxjW90jj766AltOdDjm+pzbEKqCd7mvsN+//vf29tFGvJMqDIhKRxAjT/84Q/2NuvXrz/ka/JATP+anx3fz4czldfEwdowldeE+fduwv3418hdd91lg+T4kOfWvzEASDSEPAApE/K+/e1vT7iNGSEwB20vvfSS/RR+2bJl9hP9sG984xt2VMEcmJoDQXPb7du3T/pd5ud+8YtfTOn3HOxg1hzomtGVm2+++YAjBeMPVM3v+MhHPjLpdmvXrrWjDWG33Xab/T1mVGgqnn/+eeeLX/yiPQg2bTn//POdxx57bMJtzO82oXU8E6TGB4Zdu3Y5XV1dE25jRpPMbZ5++umDPoap9vHBmPv8t3/7t0mXf+ELX5gQwKbbT+Y5WLJkiXPxxRePnc444wwbNswI1bp16ya0Zf/HN9Xn2HxA4PF4xkLaeGYENZKQ19bWZu/LPMbxzGvavNbHP79TDXkPPvigvf/xH2QczlReEwdqw1ReE2YUz9zmvvvum3Qb01fhfk2Ef2MAkChYkwcgZey/xii8Vqirq8uWbP/IRz6i3/3ud/r+979vz9988832MlMK3mwtYL6aSor7l3cfHR2110/l9xyMWUdk1iOdccYZk64zl1133XX2+nBZ+gOtzzLrwj772c/a9VCFhYX6wx/+oEsuuUTz58+fUv+YtUnmZAppmLVPP/7xj3XRRRfplltumbAmb8WKFRN+zqxTMsLVFE0Z/QceeEB33XWXLURi1mKZPjLMGqew/R9DJH18MGYd2v5OOOEE/fznP1cgELAFQmbSTwsXLhxbn2kUFxfb5/v8889Xbm7uhNvu//im+hybip3mQ1azruxAj8+sM5uq8H2ZNX3jmX42W0JMx6JFi+xXsx7TrD+ciqm+JvY3lddEeG3hgfrr+OOPt+szE+XfGAAkCkIegJSx/0Hi/ufNnnr/9V//paefftoesJtS9SbkGebgzwQEc+C3/8+Zy8xeaVP9PQdiAsjBbmsOOkMzK8YuMwUj9me2PPj85z+v2267zW6F8NBDD+nuu+8+5O995plndPvtt+tnP/vZhMvNgbM5gDXt+t73vjch5GVlTXxr2L/Nps/MdgLmYPgd73iHysrKbAXK8eHoQI8hkj4+mPFVHg9mOv0UZgq5fPnLX57Sbfd/fFN9jsc/z9N5fON/3ufzTfnnpsoENtNeU8TlxBNPPOBthoaGdOmll9pwZgLUVF8T+5vKayLcz6bwyv4GBgZc/zcGAImIkAcgbZgDRlNN0ozgmZBnKhCaA1rDVNYzB8xmZCt8Wdhvf/vbsdGs6Vq9erU9+Hz55Ze1ZMmSCde99NJLWrly5WEP1MObv5vRSFPV0IwumIqPh2Iepxnl+tjHPnbAkRBTQfH++++f8uMwoyU33HCDrV5oqg2Gmc2yDycafbxp06YDXmbuL9x/0+mnaJjqc2y+hrcpCI+ajd8LsLS0dMJm7D09PZOeg7BD3ZcJ7mZvu/e///0RPY68vDy7vYYZ8TX9eKDX5R//+Ef7mMwoaqxfE+Y25jk1IXL8KLOpKProo4/a0VY3/40BQCJiM3QAacXs7WU+pTcbX5vgM37UwIxumf3kzOhCmDnY+9SnPjVpqt7hmJGM8Rt3m4PVq666yo4kmlLyYWa05Prrr9fnPve5Kd3vP//zP+vZZ5+1I3Om/eGpZwdjRmJMqfiPf/zjttT8eGYLgl/96le68MILp/y4wvdhSuSHmRDyr//6r4f92Wj0sbnt7t27JzyG3//+9/rEJz4xo36Khqk+xyY4vO1tb7PThs2IWJiZ6mgCyngmuJiRpPAIlAk2X/va18auX7Bggd3P7rvf/e6E+zJTGM39jZ/euv9r8lC+/e1vq6mpSZdddtmknzF745nRLtN+s6VAJK+J/dswldeECXFf+tKX9JWvfMX+bjN6Z7Zp+NCHPmS3t4i0/w/HjdcOAESd24sCASBahVf2L1ARLgVvCkmEDQ4O2nLpppiG+X48U1jDFGIxJeg/+clPOpdccomTn58/Vrkxkt9jyvqbin6nnXbaWMESU/3QFDsx1TnN9abCotkCwBSFGF+V0PyOv/zlLwd97KaKoSkwMZUtEcKFYUx5etOe8847z5bqNwVFzH2Yr+MLZhzo8bW0tNjH98QTT9hqg6b0vyk7/6lPfcqWxjdl7c3PmJ8N98HBHsNU+vhgzH2Gi+V86EMfsidT+dD04/Dw8Iz76VBbKByoLQd6fFN9jmtra22xGPO8mIqQl19+ua2Aaop+jC+88sgjjzg5OTm2euXVV19tS/yb7TrGV9fcvXu3vdzcl/l58/yaqpY/+clPJrTtQK/JQ9m5c6ctBGOeH/Mzpo2rVq2y9/GjH/1o7HZTfU0crA1TeU2Yvvvud7/rlJeX28du+vdnP/uZ89WvftX2TaT9H+1/YwCQaDzmf9GPjgAQW+aTdvMpfniT7zvvvNNOPVy8ePGENTpmNMOMFsyZM2fscrMmzzjnnHMm3W9vb6/d0NlMQTNFJ8woyfLly8eun+rvMVPQzMbcZkTDTAsNT0U0oxWmQIWZymbWBI3fSH387zCPyxQBOZD3vOc9djTjvvvum3J/mTY++OCDtpCF2cDdbDRtHsf+xScO9PhMAYx777137HGYtVE33XSTqqur7eM1a7DMVFjzs+bxmMsO9RgO18cHE75/89jN1D3zOMzvMGunotFPZuqf2ejbFPOYSlsO9vim8hwb4baZ58SM2JnHYUbPTAGf8a9Nc725nRnFM6Ou5vkxv99sUh8ujGJG8cxzZKZtmime5r723wD8YK/JQzHP/bp16+xm4KZtZrqkmb64f0GWqbwmDtWGSF4T4zdgN6N99fX19rFH0v+x+DcGAImEkAcAScRUPDTrjW699VZdfvnlbjcnYdFPqeWCCy6wodFM4wwzoddM9bzyyit1zTXXRO138doBkAoovAIASeQ3v/mNHf0wa7pAP6ULs6bUFJAxQc+MYJrtPK699lo7mmvWB0YT/8YApAJCHgAkEbPnmNnyYP9tDkA/pTKztYGZemkCmCmaZL43RYVM0Z2ZVr7dH//GAKQCpmsCAAAAQAqhLjAAAAAApBBCHgAAAACkEEIeAAAAAKQQQh4AAAAApBBCHgAAAACkEEIeAAAAAKQQQh4AAAAApBBCHgAAAACkEEIeAAAAAKQQQh4AAAAApBBCHgAAAACkEEIeAAAAAKQQQh4AAAAApBBCHgAAAACkEEIeAAAAAKSQLLcbAAAAkAx27typ//7v/9Z111035Z8JBoP60Y9+pP/4j/9Qdna2fD6fvvOd7+hb3/qWPB7PpNu3tbWptrb2sPebmZmpU045ZcJlg4OD2rVr10F/ZtGiRZo1a9aU2w4geRHyAAAApqC/v18vvPBCRH1111136dZbb9V//ud/2vMm6D3yyCM2oF166aWTbn/nnXfq29/+to488sixy8zvPP7445Wfn2/Pm6C4ZcsWdXd3T/jZdevW6fLLL9cJJ5ww6X537Nhhw+U//dM/8VwDaYCQBwAAcIiROMdx7Pd+v99+HwgEJo2qHcwPf/hDffKTn5xw2Re+8AX94Ac/OGDIM8zlv/71r8fOL1u2TDfddJOWL19uz3d2dmrFihUH/FkT8B5//PFJl3/84x/nOQbSCGvyAAAADuKDH/ygioqK7Omcc87R1q1bx86bkxmZe/bZZw/4s08++aRaWlp01VVXTbj8He94h1pbW/XEE0/Q7wBigpE8AACAg7j55pvHvv/73/+u3//+9/Zr2Omnn66cnJxJP9fT06NPfOIT+t73vqfc3NwJ12VkZNgpmR/4wAf03HPPacmSJZN+56OPPjp2vqGhQeeff/7Y79l/JHH/dYOf+tSnJl3+zDPP2LYCSA+EPAAAgIMwhUxuueUWff3rX1ddXZ2WLl064fqRkRFbjOWzn/2szjzzzLEQ9p73vEdHH320HQkMr8274YYbdMcdd9jzJuCZdXIXX3yxDWAVFRUTRvp+8pOfjJ0/8cQTdfvtt+uII44Ym6552mmnTWqr+X3/8z//c8DH8cY3vlFr167leQbSBCEPAADgIEwwC6+5q6mpmTTqNjQ0ZNfMmQqaJsgZZr2dmaY5fjrmNddco29+85sTftaM5plROjPi97e//W3sclNgZXzoM7/fVMUcf9l4o6OjY7+rrKzMfi0tLbUjd6ZoS29vr72surrankxADN8OQGoi5AEAkp4vGJAvGLRf/cGggnJkamWYchmOHJlC9XPyi0K33nfAu4+5JlzG3hNaqp4VOrFsPd2Z6pVmeqYZaTMee+yxSdsn9PX16TOf+YxOPfVUbd++XatWrdKnP/1pW+ikvLzc3ubhhx+22yVccskl9rzZIsGERTNt87e//a327t07dn9er9dWyTRbLIyf+vmLX/xibPsDEyzH6+jo0BVXXKGLLrrInjehbnh4WM8//7w+97nP2emi4bY89dRTuvvuu3XWWWfFqNcAJAJCHgDAVQEnqGG/X0N+n4YCvte/9/s0EvBrNBCQz9kX3sJBbvxXvxM87O/Iy8jSp48O7yn2nPmtU2jZ+MBnTtlmTCX0dfzl+98mL3TiLTbZff/737fTKs0UTRPMurq6bJgbzwSw+fPn22BnpliaEBgOVOHqnF/84hftSF+Y2TPvbW97mz72sY8pKytrrGqmsWfPHnt/s2fPHrvMhEFzn+HLBgYGJrW1qqrKbr9gvPbaaxMqepp2nXzyyfZ7UzwGQOrjHQgAEBOm1PyA36te76j6zMk3qgG/CXH7Alz4NBqcSuBygwmP3tBpum+xeeNO+fudN6eJBTkmM2ORkzfMRnx8+ctfVkFBgf3ehCYTysZvYG5G0CorK+10ShPyfv7zn0+6j1/96ldavXq13vzmN49dZm533nnn6V3vepeKi4sn3N5Mp7z66qsnbK/w4x//WB/60IcmbKFgpoQCwMEQ8gAA0zbo96rPa4LciA1xNtCFvvb7RhUI7S+WnvxmzCV0OtRo4f7Br2jcaXLVRsRPeA2c2euura1NX/va1yZc/+qrr2rlypVjtzVr7MbbsGGDDWhm+uX4Dz/y8vJ0wQUX6Lvf/a697/GbrZupoddee+0h22VGBwHgUAh5AIDDMiGuY2RYnaND6hwZVsfokLpHR6Y0VRKHYvrPrK+auMbqdbnjAl/xuO9NGESsmbVtpijK+vXrdd99941tYWACn1mvZwqpXHbZZQf82fr6elvR8qijjtK//uu/qrGx0RZZMVM+582bZ4u1PPDAA3btXnhjczPqd+6559rpmge7z1deecWGxoULF066ztyv4fP5xsKnYUYRzX5+4VFAAKmPkAcAaciMJoyfdhY24PPaANcZCnThYGfWvsENo6HT/gfm2QcJf/umFk7ElM/pMoVUzHRNM2JnNj4PM9sjmNBmtkwwAe5ATJEUEwLNdM7wae7cuTaIhf/t/frXv9ZDDz00FvLMbczo3v7MGj5zfyZYmiqchYWF+s1vfjN2vSmscuWVV9oiMcbu3bvHRgNPOukk+3vCoe9LX/qSrbwJILV5HPNODwBIO2adXPPwgJqH+tU2PKiO0WFb6CQVTSy88sAUC68kI1MYxhzAm8IfZaGvjPoBQLphJA8A0sBowK/W4UEb6lqGBuxXU/QEqcaE167QKSxvv9BnQuC+fd8AAKmJkAcAKSboOOocGdoX6OxI3YC6RoftpD2koxFJzaGTYaYKlowLfebr61MRAQDJj5AHACmwnq59eFB1g32qG+xV42C/vAm7LQHc54Q2hDenvePW+IVD3+zQ9+M3g2ddHwAkE0IeACRZqDPfd48O21BXP9Cr+sE+DafoWjrEi5m62x467QwdHswOnSolFfJUAEASIeQBQIIzoc5Uvawb6N0X7AZ71e+b7gbdwFSYDw1aQieFqnZWhk5m77h95fgBAImJkAcACbqurnGoXzV9Xart71G316yrAtwyFJraaU6ecdM6K0NTOydvxwEAcA8hDwASZBqmNxBQ7UCPdvd126+pup0Bkp0zroLnztCoXjjwVbFlAwAkAEIeALgU7MzXft+oavq6VdPfrYbBPgXYuhRJuZ5vfPVOM7I3X9I8Sfkutw0A0hMhDwDiHOzMfnW7+7vtVMy2ETMNDkglPaHTVgIfALiEkAcAcQh2bcOD2tHbaU99vlH6HGmCwAcAbiDkAUAMhLc52G6DXYe6RimcgnS3f+CbF5rWyZROAIg2Qh4ARNGgz2uD3baeDrWNDNK3wCED37ZxgW9eaKsGAMBMEfIAYIbTMX3BgKr7umywM3vZmdqDAKYT+MwefIslzZWUGf7XxhYNABAhQh4ATIMJeI2DfdrY3aZdfV3yBYP0IzBjnaGT2ZZhoaRFkkroVwCIECEPACIYtTN7123tbtem7jZ1jg7Td0DMtmWoDZ3KQqN788cdtjC6BwCHQsgDgMMwAa9pqF8bu1q1s7dLfodRO8Cdgi3zQ4HPBD8AwMEQ8gDgEKN2Zp3dpq5WdTBqB7jML6kudCoJhb0FoamdBqN7ABBGyAOAcUzAa7ajdm12TztG7YBE1Cdpc2h0b14o8JmiLQAAg5AHAJICTtCGulc6mtU+MkSfAEnBTJ1uDJ2KJR0RGt3LcLthAOAqQh6AtDYa8NtRu1c7WzTg97rdHADT1i/pNUnbJS2VtERSTug6pnICSC+EPABpud6uzzuq9Z3N2tzdLm8w4HbTAETNqKQdkqpD2zCY0b2i0HWEPQDpgZAHIG3CnTm1DA/YKZk7ezvZtBxI+amc4UItVZJWSJoVuo6wByC1EfIApDwT7mr6uvVKR5MahsyULgDppS10Kg+FvTluNwgAYoqQByBlBR1HW3va9XJ7k7q9I243B4DruiW9HCrSsjy07x5FWgCkHkIegJQMd2Z/uxfbG9TjNetzAGA8M6K/IbR274jQFgyZdBGAlEHIA5BS4W57T4deaG9UDyN3AA5rWNIWSTWSVkpaxMgegJRAyAOQEuFuR2+HXmhrZFomgGkw07k3hcLekaG99kwlXgq0AEhOhDwASV0102xg/nxbA+EOQBQMhaZxmrB3lKS54b82odAHAMmBkAcg6bZCCIc7My2za9RMtwKAaK/ZWyepLBT2KsN/hQh7AJICIQ9AUu1zt7u/W0+31KmTcAcg5nokvSipQtKq0BYM9q8SYQ9AQiPkAUh4Jty1DQ/qqZa9qhvsc7s5ANJOp6RnQ5uqm7BX4naDAOCQCHkAEtqAz6tnW+vtfnfms3MAcH9T9fmhaZyFPBkAEhIhD0BC8gUDdhPzdR3N8jtBt5sDAOM0SWoO7a9nwl4OvQMgoRDyACRcUZXN3e16rq1eg36f280CgIMwcwv2hgKfCXpL2HYBQMIg5AFICCbg7Rno0VPNdeoYNWXMASAZmA+jNkuqk7RG0iy3GwQAhDwA7jPbIDzRvEd7BnrdbgoATJMpCvWcpIWSVkvKpScBuIaRPACuTc30B4N6sb1R6zqaFHAoqwIgFTRIapF0pKSlkjLYcgFA3BHyAMSdCXi1/T16rLlWvd5RngEAKcYvaaukeknHSJrtdoMApBlCHoC4b4nwePMeVfd10fMAUly/pBckzZN0tKR8txsEIE0Q8gDEZWpm0HH0ameLnm9rkDcYoNcBpJHm0P56KyQtZwongJgj5AGIKRPwmof69WhTrdpHqJoJIF2ZD7d2hNbsmSqclW43CEAKI+QBiNno3UjAr6db6rSp23yCDQCQBiW9KGlRaApnNoVZAEQdIQ9A1JmAt7O3U4817dFQgA3NAWAyU5SlXdLxjOoBiDpCHoCojt4N+336R9Me7ezrpGcB4JBGQqN6i0N76zGqByA6CHkAosIEvF19XXbt3ZCf0TsAmLq60KjecYzqAYgKQh6AqKy9M9sibOvpoDcBYFqGx43qHR06RHPMR2j0J4CIEfIAzHBT82490rhbA4zeAUAUMKoHYOYIeQCmNXo3GvDryZa92txtphgBAKKHUT0AM0PIAxARE/D2DvTo4cbd6vd56T0AiPmonqnAOZt+BjBlhDwAU+YPBu3o3WtdrfQaAMRtVO8FSUtCa/Uy6XcAh0XIAzCl6ZmdI0O6r75aHaPmgAMAEF97JZmtaU6WVExRFgCHRMgDcEgm4G3ubrMbm/udIL0FAK4ZkPSMpDWSFvE8ADgoQh6Ag47eeQMBPdq0W9t72dgcABJDQNJroVE9E/Y4lAMwGX8ZAExiAl7r8KCdntnjHaGHACDhNEjqYfomgAMi5AGYZH1Hs55urVPAMRvxAgASe/rmMaFN1AFgH0IegLHpmSN+vx5qrFFNfze9AgBJM31zY2j65rEc2gGwCHkAbMBrHOzT/Q272PsOAJJSo6ReSSdJKqH6JpDmCHkAtK6jSU+31InJmQCQKtU3mb4JpDNCHpDGfMGAHm7crR1UzwSAFGG2umH6JpDuCHlAmq6/M1Uz7967Ux2jQ243CQAQk+mbpvrmKWyeDqQhQh6QZkzA29Pfo/sbqjUSMAv2AQCpaVDSs6F1elVuNwZAHBHygDTzUnujnm2tZ/0dAKQFv6SXJR0taZnbjQEQJ4Q8IE34g0G7PQLr7wAg3ZiyWlsk9YeKsmS43SAAMUbIA9Jg/V2/b9Suv2sdMVN3AADpqS40hfNkSTluNwZADPFRDpDiAa9pqF831Wwm4AEAQpumPxvabsG+W9ArQAoi5AEpygS8rT3tuq12q4b8PrebAwBIuIIs7ebdgqAHpCBCHpCiXmhr0IMNNQo4fEoLANif+fDvJUl7QkEPQCphTR6QYoKOo3801WpTd5vbTQEAJDTzIeDm0NTNYwh7QAoh5AEpxBsI6L76atUOmA1wAQCYij2hoGcKsmTTZUAKYLomkCIGfV7dWruVgAcAmIYOSc+E1usZTPUHkhkhD0jyCppG58iwbtm9RW1skQAAmHFBll4KsgBJjpAHJPkWCQ2Dffpr7Wb1+UbdbhIAIOl5JT0f2mqByptAsiLkAUnKBLwdvZ36255tGgkE3G4OACBl+CW9KKmVoAckKUIekKTWdTTZIitskQAAiL6geaeR1EjQA5IQ1TWBJPRMa51eam9yuxkAgJRm1n2/GtpTb6nbjQEQAUIekGQeb96jVztb3G4GACBtbA6t1TvS7YYAmCJCHpBEhVYeZZNzAIArdoZG9Mym6QASHSEPSAJBx9GDDbu0vddUOwMAwA21oaIsx4XW6QFIVIQ8IMEFnKAtsLKrr9vtpgAA0l59aETvJOr3AQmM6ppAAvMHg/r73p0EPABAAjHrwl8KjeoBSESEPCBBeQMB3bF3u/YM9LjdFAAA9tMh6YVQQRYAiYaQBySgkYDfbnLeMNjndlMAADiInlDQM9M3ASQSQh6QYIb9Pt1eu1XNwwNuNwUAgMMwH0a+SNADEgwhD0jAEby2kSG3mwIAQAQjeqzRAxIJIQ9IoDV4d+7ZTsADACQhUwH6ZVMT2u2GACDkAYlTRfOuvduZogkASGJmL9d1ZndXtxsCpD1G8gCXBcw2CXU71DDU73ZTAACYoXZJ6wl6gMsIeYCLgo6je+urtXegl+cBAJBC++htkOS43RAgbRHyABcD3v31u1TTb9YxAACQSpokveZ2I4C0RcgDXPJw427t7DPrFwAASEUNkja63QggLRHyABc82lSrrT1m3QIAAKmsTtIWtxsBpB1CHhBnTzTv0cauVvodAJAmaiVtc7sRQFoh5AFx4Dj7Fp+/2N6o9Z1mQToAAOmkRtLO0PcUZAFijZAHxCHgeTweOz3z2dZ6+hsAkKZMyNsryUPQA2KMkAfEmAl4ZosEU2gFAID0tlmSWbJA0ANiiZAHxFj7yKDuqdtpt0wAACC9OaHN0ntCQQ9ALBDygBjq943qzj075A0G6GcAACzznviSpEH6A4gRQh4QIyMBv+7Ys10Dfi99DADABN5Q0OM9EogFQh4QAwEnaKdodo4O078AABx06qaPvgFiICsWdwqku4caalQ/2Od2MwAASFBlcpy18nhy7Zr1DA/r84BoYiQPiPJeeE+31Gl7byf9CgDAAc2V45xhA54vGNBNNZvse+f491IAM8NIHhDFvfA2dLbo5Y4m+hQAgAM6Qo6z2r5nDvq8unHXRg0F/GofGVJ5bp7WlFeNvacCmD5CHhAF5s2obqBXTzSbTV4BAMB+75SSjpG0VCa/me2Fbtq1ScFxt3i0qVYl2blaXFRK5wEzxHRNIAp6vSO6t75aQbuIHAAAvC5T0ik24JlRul19Xbpxv4BnmLV5pmhZF0XLgBkj5AEzZNYT/L1up90yAQAAjJcr6UxJc2zAW9fRpLvrdh60i0bNe+reHRrlPRWYEUIeMEMPNtSoY2SIfgQAYIJiSWdLKrUB75HG3Xq6tf6wfdTtHdEDDTX0JTADhDxgGsLVv15sa1R1Xxd9CADABLPlOGYEL1+BYFC31W7V5p72KffR7v5uPd/WMOE9F8DUUXgFmGahlZq+bj3bdvhPJAEASC+L5DjHyuPJsNMu/7xro3p93ojvxYS8qrxCLS8pj0krgVTGSB4wDWZR+AMNu+g7AAAmOErS8TbgmaJk1+1YP62AF/Zgwy51U4gFiBghD4iQ+VTSLAr3BgP0HQAAY4eUJ0paac81DPbpdzs3yBsMzuw9NxiwhVq8Ad5zgUgQ8oAImHUB99fvsovCAQCAkS3pNEkL7Pvk5q423Vq7NWpd0zk6rIcaKcQCRIKQB0xBeNH3M631qh3ooc8AALAKJJ0lqcK+Vz7dUqeHm3ZHvW9MkbOX2hsnvCcDODgKrwBTLLRiKn293NFEfwEAYJXJcdbK48kd28i8pr87Zn3zbGu9LcSytLiM/gcOg5E8YAoGfF67Hx4AADDmynHOsAHPFwzopl0bYxrwDDN+d39DtXpYMgEcFiEPOAzz6eR99dUaCfjpKwAAdIQc52R5PJka9Hn1ux2vqj1OFTBHAgHdV1etgDOzgi5AqiPkAQcRnvNv9ulpHOqnnwAAac4jaY2ko+0yhvaRQbtFwlCcPwRtHRnUMy379qllfR5wYIQ84CDMG1jdQO/YQm8AANJXpqRTJC21wWpXX5du3LVJbo2nvdLZrD39Pfa9GsBkhDzgIAb9XrvhOTW8AADpLVfSmZLm2IC3rqPJ7l3ntgcba+x7NYDJCHnAAZg3sQfqzZuHj/4BAKSxYklnSyq1740PN+7W0637pkq6bcjvoygacBCEPGCc8Nz+l9qbVDfYS98AANLYbDmOGcHLVyAY1G21W7Wlp12JZO9Ar9a179veiPV5wOsIecA4Zm5/42CfnmtLjE8pAQBwxyI5zqnyeLJtdek/Vm9QQ4IWIXumrV4twwOszwPGIeQB4wz7fbqPdXgAgLR2lKTj5fFkqNc7out3rFevz5vQWx3dX18tbyDgdlOAhEHIA8ZN8Xi0qdZufA4AQHoeFp4oaaU91zDYp9/t3CBvMPH3pOvxjuofTbX2e6ZtAoQ8YGya5raeDlX3ddEjAIA0lC3pNEkLbEja1NWmW2u3Kpls6+3Q1u52pm0ChDxgHzN693jzvk8AAQBILwWSzpJUYQPe0y11eqRpt5LRP5pr7RRTIN0xXRNpLTyl45HG3RphLj8AIO2UyXFMwCuya9vM/nfrOpuVrHzBoN3mAUh3WW43AHB7mqaZklI70MMTASCl7NnTql27mnXhhSdMuPyZZ7boqae2KCsrU+edd6zWrj3ykPdTU9Os++9fp8HBEZ1//vE69dTXbz8y4tWTT25WaWmBTj991YSfe/757RoeHrU/g0Q1T45zgjyeTPmCAf2lZrPaR4eV7OoH+7Shs0UnVMx1uymAaxjJQ1rr847qyZa9bjcDAKI6Q+Hee1/S2rWf1/e+d+uE67761Rv0kY/8XF6vX729g7r00u/qRz/620Hv68knN+m8876ixsZONTV16W1v+7Z+8Yu77XXBYNBe99hjG3XNNbfpK1+5YeznzHWf+9z1Wr16Ec9swjpC0sk24A36vPrdjldTIuCFPd1ax7RNpDWPQwkipDGzsav5xA9AasvLyNKnjz4ldO4BSalbav0DH/ixXnutVm9+80lav75Gjz9+jb18x44GHX30v2jr1l/qqKMW2steeGG7Lrzw6+rr+6syMiZ+7hsIBLR06dX6y1++qLPOOtpedvfdL+qqq36q9vab9OyzW/XpT/9aW7b8SvX17TryyE9qYOBWZWZm6o9/fNSOIn73ux9yoQdwaB5Jx0haas+1Dw/qpppNSvz6mZFbVFiidy3b99oF0g0jeUhbr3a2EPAApJyvfOVd2rjxf3X00RNH0czo3a9+9cmxgGcsXTrHfvX7J4fe++9/RStWzBsLeMall56m7dt/rYwMj9rb+7Rw4Wx7+YIFFfY+enuH7BTOX/ziHn3pS1fG8FFiejIlmQ87ltoR3129XboxRQOeYT7Efa2z1e1mAK5gTR7SUvfosK0eBgCp5phjlhzw8mOPXWpPRn//kDZvrtNPf3qXrr76IuXkmPL5E23cWKuTT16u229/Vr/85X3au7dNF1xwvH74w4/YUb/Vqxdq06a9Ntxt2rRHs2eXaNasYv33f9+hq666QCUlpmIjEkeupFMlldqA93JHk55prVeqe6p1r5YWl6k0xzx+IH0Q8pB2zJvbQ4018jup+tklABzaBz7wE7uWzozUXXvtvxzwNmYN3saNe+TzBXTLLV/U6KhP//Efv9MVV1yjJ574vg2TV111vs4660saHvbqN7/5F3V3D+gvf3lKzz//33Zq509/+ndb4OWaaz502AIviKXiUMDLt++Bpvrklp72tOjyfdU2a5i2ibRDyEPaeaWjWU1DA243AwBcc/fdX7fTKm+++Ukdf/y/2XV6xcUTR95ycrLU0dGnn/3s42ObS//pT59TVdUHtX17vVatWqTvf/8qO5JngpzxpS/9Qf/xH5err2/Irt3bseNaOwL4znf+QLW1109a94d4mC3HMQVWshUIBvW3PdvUMNSfVl1vp212ter4WfumJwPpgL+2SCs93hE915b601MAYH9mGwRTdTMsLy9HH/vYm2wlzFdeqZl0e7PebuXK+WMBzygszFNVValaW1/fdiYc8Ezxlaef3qL3ve9cbdhQqyOOmKuqqjI7gtfTM2hHBhFvi+Q4p9qANxLw64/VG9Iu4IWZJRqmojaQLgh5SAvhIrL/aKqVP/Q9AKQTE8y+/e2/jP09NDo7++xo3eLFlfa8z+cfu+6SS07RK6/s0tDQyIS995qbuw+4NcLXv/5nfetb77ehMD8/x47mGWaap5nOaS5DPB0l6Xh5PBn2A87rd6xXr8+btk+BNxhgk3SkFUIe0oI56NjW06G9A71uNwUAXPHe956jkRGf3WLh4YfX24Iqb37zN/X+959rR93WratWScl77FfDTMe85JK1etvbvqMHH3xFd975vN0n7wtfeIcdoRvPFF4xI3UXXXSSPW82TDd/d//0p3/ohz+8XW984xpVVJS48rjT89DuREkr7bmGwT79fucGeYOsQ68b7NWW7vRYiwiwTx7Swojfrz9Ub9Bw4PVPqQGkj3TaJy/spZd22n3yPvnJt4xdZgqj/O//3qN163apqCjP7qX34Q+fbwNZT8+ALZTy+c9frtLSQnt7M+p3/fUP2yItZtbm5Zefrne/+5xJv+uaa27VxRefpJNOWjF2WUtLt2644TE7gmemhZqpnog1UyXVvM4r7HO3ubtdjzTtptvHyc/M0kePPEF5mZSlQGoj5CGlmTc5c/BiKmuZNzsA6SkdQx7STUGogmaRfe97qqVOr3Q2u92ohGQKsFwwf9nYMQKQipiuiZRm/nibqSoEPABA6iqT45xlA17QcXR33Q4C3iFs7GpVy/AAAQ8pjZCHlGbe7B5rqnW7GQAAxMg8Oc4Z8nhy5QsGdNOujarpf736KSYzpYfMscH4IkRAqiHkIaWt72xWx+iw280AACAGjpBk9sDL1KDPq9/teFXtvOdNScvwoDZ1t/GqRMoi5CFl9ftG9Xxbg9vNAAAgysw6sjWSjrbn2ocHdd2O9RqiuFhEnmmt17Dfx6sTKYmQh5QTnn7xRPNe+SgZDQBIKWbzeVNEaKl9v6vu7dKNNZvEBgmRMxvEP91aZ79n6iZSDSEPKVlsZc9Aj6r7utxuCgAAUWS2oThT0hwbSl5ub9I99Tvp4RkwhdmahvopwoKUQ8hDShZbMaN4AACkjmJJpoJmqQ14Dzfu1jNt9W43KiX8o6nWHjsAqYSQh5QsjdzFwnMAQMqolOOYEbx8+YNB3Vq7VVt62Ps1WtpHhvRaV0vU7g9IBIQ8pJTRgJ9iKwCAFLJIjrNWHk+2XUP2x50b1DjU73ajUs5zrQ0UYUFKIeQhpbzU3qRhqosBAFLCUZKOl8eToR7viK7fsV59fq/bjUpJo8GAXmhvdLsZQNQQ8pAyer2jdl88AACS//DsREkr7bn6wT79fucGeakYHVOvdbXaMA2kAkIekl647PEzrXUKsHAaAJDUsiWdJmmBfX/b1NWm22q3ut2otGCKrzzTsq+YDVsqINkR8pASWyY0D/VrR2+n200BAGAGCkIVNCtsyHiqpU6PNO2mR+NoZ1+nmocG2FIBSY+Qh5TZ+BwAgORVLscxAa/IjijdXbdDr7AEwRVPtew7pmA0D8mMkIekH8UzI3jNwwNuNwUAgGmaJ8c5XR5PrnzBgG7ctVE1/T30pktM9dJdfV2M5iGpEfKQ1Mx+Qc+01LndDAAApukISSfL48nUoM+r67a/qk72enXd0y11bJCOpEbIQ1Lb0NmiXt+o280AACBCHklrJB1tz7UND+q6Hes1EvTTkwmg2zuiTd1tbjcDmDZCHpJ64/MX2dMGAJB0MiWtlbTUrvuq7u3Sn2s2Keh2szDB820N8gYC9AqSEiEPSWt9Z4vdvBQAgOSRJ+lMSVU24L3c3qR76ne63SgcwJDfp3UdTfQNkhIhD0lpJODX+g42PgcAJJPi0BYJpTbgPdxYo2fa9u3LhsRkKpwO+r1uNwOIGCEPSemVjmZG8QAASaRSjmNG8PJt0bC/1m7Vlp4OtxuFw/AFg1rXzofKSD6EPCSdEb9fr3a2uN0MAACmaLEcZ608nmz7HvbHnRvUNNRP7yWJ17pa7dRNIJkQ8pB01nU2yctaPABAUlgl6Th5PBnq8Y7oup3r1cf0v6Tid4J2BhGQTAh5SCrDfh+jeACAJDnEOlHSCnuufrBPv9+5wU7/Q/LZ0NVij0GAZEHIQ1J5uaOJN0gAQILLlnS6pAW2wMrGrlbdVrvV7UZhpmvzGM1DEiHkIWmY+fAbOlvdbgYAAIdQEKqgOcsGvKda6vRoUy09lgIYzUMyIeQhaZi9hMy8eAAAElO5HOdsSUUKOo7urtthS/AjdUbzzB69QDIg5CEpDPq8troVAACJaZ4c53R5PDnyBQK6cddG1fT3uN0oRJmp7m326gUSHSEPSbMWj1E8AEBiWi7pZHk8mRrweXXdjlfVOTrsdqMQA6a693rW5iEJEPKQ8MwnZpu629xuBgAA+/FIOlbSanuubXhQ1+9Yr5EgIz2pjNE8JANCHhKemaZJyWkAQGLJlLRW0hJbYKW6t1N/rtkkVo6nvtFggO2ckPAIeUhogWBQG1jkDABIKHmSzpRUZQPeS+1Nuqe+2u1GIc6jeb5ggD5HwiLkIaFt6+3QIJuPAgASRnFoi4RSG/AeaqzRs231bjcKLiwl2drdQb8jYRHykJDMG6fxCoubAQAJo1KOYwJevvzBoP5au1VbezjQT1frQ9tjhI9ZgERCyENC8ng82t3fTXUyAECCWCzHWSuPJ0sjfr/+uHODmob63W4UXNTtHdHuvm57zAIkGkIeEg6jeACAxLJK0nHyeDLUMzqi3+5crz6/1+1GIQGEN7tnNA+JJsvtBgD7M5+ItQ4PqH6wj84BALj8WfjxkhbYc+Z96bbarTwjGGNeE+3Dg6rML6RXkFAYyUNCWsdaPACAq7IlnW4Dnhml2djVSsDDIUfzgERCyEPC6fOOqrq3y+1mAADSlhmVOVvSLBvwnmzZq0ebat1uFBLUjt5ODfqYvovEQshDQn4iFhSVqgAAbigPVdAsVNBxdFfdDq1nv1YcQsBxtKGrlT5CQiHkIaGMBvza3N3mdjMAAGlpnhzndHk8OfIFArpx10bV9ve43Sgkgde6Wu22GkCiIOQhoWzv6ZSPP5IAgLhbLulkeTyZGvB5dd2OV9nGB5Ftjt7TTo8hYRDykBDCpYc3djPdAQAQT2aPs2Mlrbbn2oYHdf2O9RoJ+nkaEBE2R0ciIeQhYbZNaB7qV/vIkNtNAQCkjUxJayUtsR82Vvd26s81m8SkO0xH1+iI6gZ62RwdCYGQh4SxsYu1eACAeMmTdKakKhvwXmpv0j311XQ/ZoRjGSQKNkNHwsxlNyWIAQCIvWJJp0rKtwHvwcYabevpoOMxY7v6uzTk96kgy+yzCLiHkTwkhG097fI7TJABAMRaZWiLhHxbDfGvu7cS8BA1ZtuNLd0UYIH7CHlIjIIrTNUEAMTcYjnOWnk8WRrx+/XHnRvUNNxPvyOqNoWKyIWPcQA3EPLgesGVxsE+ylQDAGJslaTj5PFkqGd0RL/duV59fi+9jqjr8Y5qLwVY4DJCHlzHKB4AILaHOidJWmHPmeqHv6/ewMbViKnN3RSTg7sovAJXDft92tlHwRUAQCxkh7ZImGWnzm3qbtOjTbV0NWJuV1+XnRKcl8WhNtzBSB5ctbWnQwHmrAMAoq5Q0tljAe/Jlr0EPMSNObbZ1ksBFriHkAdXhBcjm09VAQCIrvJQBc1CW+3wrrodWt/ZQicjrjaHqmxSgAVuYAwZrhVcaR0eVNfoMM8AACCK5slxTpDHkylfIKCbd2+muBdc0T4ypNbhAc3JL+IZQNwR8uCa7Ww8CwCIquWSVsvjkQZ8Xt1QvVEjQT99DFdH8wh5cAPTNeEKM3VhR28HvQ8AiAKPpGNtwDPahgd1/Y71BDy4bkdvpwJO0O1mIA0R8uCK+sE+Dfh99D4AYIYyQxU0l9gPEKt7O/Xnmk3isBqJYCTgt9t2APFGyIMrtjFVEwAwY3mSzpRUZQPeS+1Nuqe+mn5FQtney1ZRiD/W5CHu/MGgqvu66HkAwAyUSDrVBj1TQfOhxho+QERCqunrtsc+WRmMrSB+eLUh7nb3d8sbDNDzAIBpqpTjmBG8PHvwfOvurQQ8JCxzzFPb3+12M5BmCHmIO6pqAgCmb7EcZ608niyN+P36w84Nahrup0OR0JiyiXhjuibivgC5dqCHXgcATMMqSSvsFgk9oyO6oWajHckDEp0ZyfMGAsrJNIWCgNhjJA9xVd3bpYDj0OsAgAgPV06yAc8w1Qp/X72BgIek4Xcc7eqnHgHih5CHuNrO3ngAgIhkSzpd0nxbQfO1rlbdvmcbfYiks6OHKpuIH6ZrIm4GfF67Px4AAFNTGKqgWWgD3pMte7W+s4XOQ1LaO9hr15HmZXH4jdhjJA9xLSEMAMDUlMtxzrIBz2yRcFfdDgIekpp5He/sYzQP8UHIQ9zUMBcdADAl8+Q4p8vjybHFKm7ctVG1/RTtQvLbwcboiBPGixEXowE/UzUBAFOwXNJqW0HTTPO/oXqjRoJ+eg4poWGwT8N+n/KzzFpTIHYYyUNc7BnopaomAOAQPJKOtQHPaB0e0PU71hPwkFJMfXFGpREPhDzERU0fZYMBAIeaWLRW0hJbYGVnb6duqtksdsBDKtrdT40CxB7TNRGXhcZ8agUAOLC8UAXNEhvwXmpv1LNtDXQWUnx2U1CZHsZaEDu8uhCX+eejwQA9DQDYT4mks+1X84Hgg401BDykPG8woMbBfrebgRRHyEPMsXUCAGCySjnOmXYkzx8M6tbdW7Wtp4OOQlqoYcomYoyQh5gx026MXWydAACYYLEcZ608niy7OfQfdm5Q0zAjG0gftaGQFz5WAqKNNXmIGY/Ho7bhQfX7vPQyACBklaQVdouE7tER3Viz0Y7kAemkxzuqrtFhzcrNd7spSFGM5CGmmI4AAHj9kOMkG/CMuoFe/aF6AwEPaWt3H1U2ETuEPMQU6/EAAJLZ+Pl0SfPt9LTXulp1+55tdAzSGlspIJaYromYGfL71DYySA8DQForDG2RUGgD3pMte7W+s8XtRgGuaxzq10jAr7xMDscRfYzkIWbqB/voXQBIa+VynLNswAs6Qd21dzsBDwgxJVf29PfQH4gJQh5ixqy3AACkq3lynNPl8eTIGwjoxupNquV9AZiglpCHGGF8GFFnpuOYypqEPABIV8slrbYVNAd8Xt1QvVEjQb/bjQISTt1g74RjJyBaCHmIOvNHqtc7ol7fKL0LAGnFHKSukbTEnmsdHtAtNZvFBgnAgQ36fWylgJgg5CEm6gZYjwcA6XdIYbZIqLKjEtV9Xbq3vtrtRgFJUcOA/fIQbazJQ0ynHwAA0kGepDPHAt6L7Y0EPGCKGihUhxhgJA8xUc9IHgCkiZLQFgl5CjqOHmqo0bbeDrcbBSRdNXLW5SGaCHmIuvaRQQ0FfPQsAKS8SjnOyfJ4suQPBnVb7VY1Dw+43Sgg6fYV7hwZUkVegdtNQQoh5CHqWI8HAOlgsRxnjTyeDI34/bpx10b1+71uNwpI2tE8Qh6iiTV5iDrW4wFAqlsl6Tgb8LpHR/TbnesJeEAUpmwC0cJIHqLKrMdoHOynVwEgZT8bPkHSfHtu70Cv/rZnm9uNApIexVcQbYQ8RFXr8KC8wQC9CgApJ0fSKZJm2QIRG7vb9I+mWrcbBaSE4YBfHSNDms26PEQJIQ9R1TTEKB4ApJ7CUAXNQhvwnmjZq1c7W9xuFJByUzYJeYgW1uQhqgh5AJBqyuU4Z9mAF3SCumvvdgIeEAP17DGMKGIkD1ER3tuleYjS2QCQOubLcY6Xx5MpbyCgW2o2q9M77HajgJTUFDqGYr88RAMhD1FhAl6fd1QDlM8GgBSxXNJqeTzSgM+rG6o3aiTod7tRQErvl2eOpUpyct1uClIAIQ9Rw1RNAEgFHknH2n3wjNbhATuCF3S7WUAaMP/eCHmIBtbkIWqah5mqCQDJ/9nv2tBG54529nbqJgIeEDctw4P0NqKCkTxETQvr8QAgieWFKmiW2ID3YnujnmtrcLtRQFpp4QNzRAkhD1ERcIJqG+HTJwBITiWhgJenoOPowYZd2t7b6XajgLTcbxiIBkIeosJs4BlwHHoTAJJOlRznJHk8WfIHg7qtdivT7wGXeIMBdY0Oa1ZuPs8BZoSQh6hoGeKTJwBIPmbt3bG2QvKI368bd21UP1WSAdenbBLyMFMUXkFUMIccAJLNaknH2YDXPTqs3+5cT8ADEgA1DhANjOQhKgh5AJBMn++eYDc6N/YO9Opve7a53SgAIazLQzQQ8jBjZg2HmT8OAEh0OZJOkTTLVtDc2NWqfzTvcbtRAMYxhexMQbtMDxPuMH28ejBjJuBRcgUAEl2hpLPGAt4TLXsJeEACMoXsTEE7YCYIeZgx/hABQKIzwc4EvEIFnaDu2rtdr3a2uN0oAAfBlE3MFNM1MWMdo3zaBACJa74c5wR5PBnyBgK6pWazOr1MsQcSGR+gY6YIeZixjhEOFgAgMS23VTQ9HmnA59UN1Rs1EvS73SgAh9FJrQPMECEPM8ZIHgAkGo+kY+0+eEbr8IAdwQu63SwAUxIuaGfWz5ptToBIEfIwIyMBv/10GACQSG/tJ0uqtAeIO3s7dV/DLrcbBSACg36fPcbKy+RQHdND4RXMSCfVnwAggeRJOnMs4L3Y3kjAA5JUJ8thMAOEPMxIB3PGASBBlEg6234NOo4eaNil59oa3G4UgGnqorAdZoAxYMwI1Z8AIBFUyXFOkseTJX8wqNtqt6p5eMDtRgGYAYqvYCYIeZgRpmsCgNuWyHHW2OIMw36//rxro/r9rJUGkh0hDzNByMOMMF0TANy02m6TYIrvdY8O68aaTXYkD0DyY00eZoKQh2kzVTVN5ScAgBtL6k+wG50bewd69bc923gagBQy4PdqNOBXLhU2MQ0UXsG09XhH6D0AiLscSWfYgGcqaL7W2ULAA1J8vzwgUoQ8TFufd5TeA4C4KpR0lqRyG/CeaN6jfzTv4TkAUhTr8jBdTNfEtPX6CHkAED+z5DinyOPJUcAJ6u97dmjPYC9PAJDCukeZNYXpIeRh2nqZrgkAcWKmZp4gjydD3kBAN9dsUhd/g4GU18cH6pgmQh6mrZfpmgAQByskrbIVNE3BqxuqN2okSNErIB2wNAbTRcjDtBHyACCWPJKOlbTYnmsZHtBfajaLDRKA9MFIHqaLkIdpMfswmdK+AIBYvT2fLKnSFljZ2dup+xp20dVAmhn0++wxV1YGtRIRGUIepqWfOeIAECN5kk6VVGID3gvtDXq+rZHeBtKUmaZdlmv+LgBTR8jDtDBVEwBioSQU8PIUdBw92LBL23s76WogzadsEvIQKUIepoWQBwDRViXHOUkeT5adnnVr7Ra1DA/SzUCaY10epoOQh2np9bFvCwBEzxI5zhp5PB4N+/26cddG1j0DsKiwiekg5GFaGMkDgGhZLWm53SKhe3RYN9ZssiN5AGAwkofpIORhWviDAwAzZarlnShpnj23d6BXf9uzjW4FsN8xF9XMETlCHqZd0hcAMF05ktZKKrcVNF/ratVjzXvoTgCTMF0T00HIw7QME/IAYJoKQxU0C23Ae6J5j17taqU3ARx0CwVTbTfDzOkGpoiQh4iNBvwKOA49BwARmyXHOUUeT44CTlB/37NDewZ76UcABxWUoyG/T0XZZgYAMDWEPETM/KEBAERqvhznBHk8GfIGArq5ZpO6vFQqBnB4IwE/IQ8RIeQhYoQ8AIjUCkmrbAVNM/XqhuqNGgn66UYAU8IyGUSKkIeIDfk5MAGAqTFraI6VtNieaxka0C27N4sJ7wAiMRzg2AuRIeQhYozkAcBU32JPllRpC6zs7O3UfQ276DoAERvmA3ZEiJCHiA0FWJMHAIeWF6qgWWID3gvtDXq+rZFOAzAtwxx7IUKEPESMkTwAOJSSUMDLs2XPH2zYpe29nXQZgGljuiYiRchDxAh5AHAwVXKck+TxZMkfDOrW2i1qGR6kuwDMCIVXEClCHiJGyAOAA1kix1kjj8djD8hu3LVJA34vXQVgxhjJQ6QIeYgYIQ8A9rda0nK7RUL36LBurN4kv4J0E4CooPAKIkXIw7Q25AQAGBmSTpQ0z57bM9CjO/Zsp2sARBWFVxApQh4i5g0G6DUAUI6ktZLKbQXN17pa9VjzHvoFQNQxkodIEfIQEVMpLuCwjS+AdFcYqqBZaAPeE8179GpXq9uNApCi/E7QFnPKyjCzB4DDI+QhIj5G8QCkvVlynFPk8eQo4AR1154d2jvYm/a9AiC2RgN+ZWWYGQTA4RHyEBFfkEICANLZfDnOCfJ4MuQNBHRzzSZ1eUfcbhSANOBzOAbD1BHyEBFG8gCkrxWSVtkKmgO+Uf2p+jWN8sEXgDjhGAyRIOQhIozkAUg/HknHSlpsz7UMDejm3ZvdbhSANMMxGCJByENE+BQJQPq9TZ4sqdIWWNnR26n7G3a53SgAaYiQh0gQ8hAR/sAASB95oQqaJTbgvdDeoOfbGt1uFIA0xQftiAQhDxHhDwyA9FASCnh5duuYBxt2aXtvp9uNApDGzBYKwFQR8hARRvIApL4qOc5J8niy7EHVrbVb1DI86HajAKQ5s1ceMFWEPETEyz55AFLaEjnOGnk8Hg37fbpx1yYN+L1uNwoAFAg69AKmjJCHiDBVAEDqWi1pud0ioXt0WDdWb5JffHIOIDEEGMlDBAh5iAhTBQCkngxJJ0qaZ8/tGejRHXu2u90oAJgg4DCSh6kj5AEA0liOpLWSym0Fzde6WvVY8x63GwUAk/BBOyJByENE+AwJQOooDFXQLLQB7/HmPdrQ1ep2owDggJiuiUgQ8gAAaWiWHOcUeTw59sDprj07tHew1+1GAcBBMVsTkSDkAQDSzIJQBc0MeQMB3VyzSV3eEbcbBQBA1BDyAABp5jhbQbPfN6obql/TKBsMA0gC5u8WMFWEPETErFsBgGTXMjSgm3dvdrsZADBlHpHyEFndaAAAUpo36Ff7yKD9oGp7TwcBD0DSIeIhEozkAQBSntnS/MZdm5STkSEv0zMBJCEP8zURAUbyEBEmawJIZgQ8AMmKkTxEgpAHAAAAACmEkAcAAAAkOAqvIBKEPETEYcImAABA3LEkD5Eg5CEimR5eMgAAAPHGSB4iwRE7IpJFyAMAAAASGiEPEcnO4CUDAAAQb0zXRCQ4YkdEsgh5AAAAccdsKkSCkIeI8AcGAAAg/rIzMul2TBkhDxFhuiYAAED85RDyEAFCHiLCp0gAAADxl5PJYTumjlcLIsKaPAAAgPjjg3ZEgpCHiGSzhQIAAEDcMV0TkSDkISJ8igQAABB/HIMhEoQ8RITpmgAAAPGXwzZWiAAhDxEh5AEAAMQfI3mIBCEPEWELBQAAgPjK8Hj4oB0RIeQhIpmeDDZEBwAAiCOKriBShDxErCArm14DAACIE2ZSIVKEPEQsPyuLXgMAAIgTRvIQKUIeIlaQyUgeAABAvDCLCpEi5CFijOQBAADEDyEPkSLkIWL5jOQBAADEDSEPkSLkIWL8oQEAAIifQoreIUKEPESM6ZoAAADxwwfsiBQhDxGj8AoAAED8MJKHSBHyELF8pgwAAADETUFWDr2NiBDyEDGmawIAAMQPI3mIFCEPEWO6JgAAQPywJg+RIuQhYjmZmcryeOg5AACAGMvLzFIGx12IECEP01KYzdxwAACAWGOqJqaDkIdpKcnOpecAAABijKmamA5CHqalmJAHAAAQc0VU1sQ0EPIwLSVM1wQAAIi5khxmTyFyhDxMCyN5AAAAsVdKyMM0EPIwLSU5FF4BAACItbKcPDoZESPkYVoovAIAABB7jORhOgh5mHbIY6c8AACA2Mn0eFgig2kh5GFaMjMyVETxFQAAgJhhFA/TRcjDtJUyRxwAACBmSrNZj4fpIeRh2krZKw8AACBmKLqC6SLkYdqYQgAAABA7HGthugh5mDY+XQIAAIgdlsZgugh5mLZZufn0HgAAQIwwkofpIuRhRiGPbRQAAABig1lTmC5CHqYtKyODaQQAAAAxUJSVY4+1gOnglYMZmc2UTQAAgKibnVdAr2LaCHmYkQr+AAEAAERdJcdYmAFCHmakgpE8AACAqGMkDzNByMOM8AcIAAAg+mbnUcUc00fIw4yU5+QpgxqbAAAAUZPh8bBVFWaEkIcZyczIUFluHr0IAAAQJbNy8pTp4TAd08erBzPGujwAAIDoYTkMZoqQhxnjDxEAAED0VOYV0p2YEUIeZoyRPAAAgOih6ApmipCHGWMkDwAAIHo4tsJMEfIwY7Ny85WbkUlPAgAAzFBeZqaKs3PpR8wIIQ9RMSefueMAAAAzNTu3gE7EjBHyEBVzC4roSQAAgBmq4oNzRAEhD1ExN5+QBwAAMFPzCorpRMwYIQ9RMY+QBwAAMGPzmR2FKCDkYcYcx1Fhdo6Ks3PoTQAAgGkqyjLHU7n22AqYCUIeZszj8divTNkEAACYvnmhUbzwsRUwXYQ8RP0PEwAAACI3n/V4iBJCHqKGkTwAAIDp4wNzRAshD1HdK4/JBQAAAJHL9HhUlce+w4gOQh6iJjsjUxV5bOAJAAAQKRPwsjI4NEd08EpCVLGVAgAAwDSOoahtgCgi5CGqFrBgGAAAIGJsgo5oIuQhqhYVldCjAAAAEWITdEQTIQ9RYzbuNBt4luXk0asAAABTxCboiDZCHqImvHHnokJG8wAAACKdCcUm6IgWQh6ibnFRKb0KAAAwRUsKOXZCdBHyEHWM5AEAAEwdH5Aj2gh5iLqCrGzNzs2nZwEAAA6jIjdfRdk59BOiipCHmFjEtAMAAIDDYhQPsUDIQ0ywlQIAAMDhsR4PsUDIQ0wsLCzRvlqbAAAAOPCBuMceMwHRRshDTORlZqkqr5DeBQAAOIh5BUXKycykfxB1hDzEDFM2AQAADo71eIgVQh5ihj9cAAAAhzhWolAdYoSQh5hZWFCi7AxeYgAAAPvLyci00zWBWOAIHDGTlZGhpUVl9DAAAMB+TMGVDA9l6hAbhDzE1BHF5fQwAADAfpYWldIniBlCHmLqiOIytlIAAADYz/ISPghH7BDyEFP5WdmaV1BMLwMAAIRU5RWoODuX/kDMEPIQc8uZsgkAAPD6sVHJLHoDMUXIQ8yxLg8AAIBjI8QPIQ8x5TiOKvLyVZaTR08DAIC0V5Sdozn5hfYYCYgVQh5iyhMqDcyUTQAAgNePicLHSEAsEPIQF1SQAgAAkFayHg9xQMhDXMwvKFZeZha9DQAA0pY5FjKboAOxRshDXGR4PFpWXEZvAwCAtJ6qaY6JgFgj5CFumJ4AAADSGcdCiBdCHuJmWVGZ8jIz6XEAAJB2cjIytbio1O1mIE0Q8hA3mRkZWsFiYwAAkIaOKC5TVgaH3ogPXmmIq1Wls+lxAACQdlaVcQyE+CHkIa4WFZaoMCubXgcAAGkjPzNLS4soQIf4IeQhrszGn0eVVtDrAAAgbZhjH6pqIp4IeYg7pmwCAIB0srqs0u0mIM0Q8hBXjuNobkGRynLy6HkAAJDyynPyNK+gyB4DAfFCyEPcp2saq5iyCQAA0sDqUMGV8DEQEA+EPLiCClMAACAdcMwDNxDyEHdmusKs3HxV5hXQ+wAAIGXNDy1RYaom4o2Qh7gLT1dYzZ55AAAgha0u3VdwhamaiDdCHlydvsDsdAAAkIrMlglsGwW3EPLgmqLsHB1RXM4zAAAAUs6yojLlZWW53QykKUIeXHXsrCqeAQAAkLJVNQE3EPLg+qdcxdk5PAsAACBlFGZla3kJs5XgHkIeXGUWIq8pZzQPAACkjmPKK5Xp4TAb7uHVB9etKa+kAAsAAEgJpqjcceVz3G4G0hwhD64rzs7VsuIyt5sBAAAwY+aYpiQnl56Eqwh5SAjH8okXAABIAcfPYhQP7iPkIWE+9TJbKgAAACSrkuxcLS1idhLcR8hDwmwYuqas0u1mAAAATNtxs6psUTnAbYQ8JNSeefxZBAAAySiTiuFIIIQ8JFQBlqUUYAEAAEloRcksFWRlu90MwCLkIaGcOGuu200AAACIGAVXkEgIeUgYjuPYkbyK3Hy3mwIAADBl5thlYWGJPZYBEgEhDwkjvFD55Nnz3G4KAABAxKN4FF1BoiDkIeGsKp3NnHYAAJAU8jKzdEw5FcKRWAh5SDhZGRk6gY1EAQBAkoziZWdkut0MYAJCHhL2D2aWh5cnAABIXFkej06soGgcEg9H0UhI+VnZOpqpDwAAIIEdXVbJEhMkJEIeEtbJfDIGAAASlCkXR7E4JCpCHhKSKUFcnpuv5cXlbjcFAADggJufm2MVIBER8pCQ2E4BAAAkslNmz3e7CcBBEfKQ0KN5ZmPROfmFbjcFAABgzIKCYs0rKGLzcyQsQh4SfzSvgs3RAQBA4lgbGsVj83MkKkIeEt6RpRUqy8lzuxkAAACqyM3XESXljOIhoRHykPAyPB6dWsm8dwAA4L5wRU1G8ZDICHlImn1oSrNz3W4GAABIY8XZOVpdOtvtZgCHRchD0ozmrWU0DwAAuOj0ygXKzODwGYmPVymSxjFllfYTNAAAgHgrzcnVMeVVdDySAiEPScN8cnbq7AVuNwMAAKSh0ysX2plFQDIg5CGprClnNA8AAMRXeU6eVpexFg/Jg5CHpBvNO62S0TwAABA/Z1QxiofkQshD0jmmnEqbAAAgfvviHVVaQXcjqRDykHQyPRk6rYrRPAAAEHtnVi1kTzwkHUIeknbfvLKcPLebAQAAUlhlXoFWllbIcRy3mwJEhJCHpGSqW5lP1gAAAGLlzKpF9quHqppIMoQ8JCXzidqqstmak1/odlMAAEAKmptfpOUl5YziISkR8pCUwp+onTt3idtNAQAAKSg8Y4hRPCQjQh6SejRvYWGJlheXu90UAACQQhYXlmppcRmjeEhahDwkrfAna+fMXawM7fseAABgRscXkt44b99MIUbxkKwIeUh6s3LzdeysKrebAQAAUsCa8irNzitgFA9JjZCHlHBG1ULlZGS63QwAAJDEzLHEWXOoqInkR8hDSijIytaplfPdbgYAAEhip1UusMcUQLIj5CFlnFQxT8XZOW43AwAAJKHS7FydWDHX7WYAUUHIQ8rIysgYm2IBAAAQCVPIzRxLAKmAVzJSytFllarKY4N0AAAwdQsKinVkaQXFVpAyCHlIOeeGyh4DAABEcuzAlglIFYQ8pNwG6YsKS3RUaYXbTQEAAElgddlszc0vYhQPKYWQh5QS/gTu3LlL2FIBAAAcUpYnQ+fMWTzhGAJIBYQ8pKSi7BydNWeh280AAAAJ7PSqBfaYAUg1hDykrONnzVVVXoHbzQAAAAmoIjdfJ8+e53YzgJgg5CFlZXg8unD+EWLyBQAA2J85Rsj0cCiM1MQrGyldhGVuQZGOLa9yuykAACCBmGODBYXFFFtByiLkIWWFF1CfPXex8jOz3G4OAABIAAWZ2Xbjc4NiK0hVhDykvLzMLL1hLnvnAQCAfXvimWMDIJXxCkdaTNs8prxSW7rb1DDU73ZzAD1z8216/ra7NNDVreKKWTrzvVfozHdfMdYzPS1tuuuHP9WeVzcqv6RYp7/zMp374fdNqece+tX1Gukf0GVf/qw9HwwG9djvblDNug1aevwaXfiJjygza9+f/oDfr19+5FO6+pc/VkFpKc8MgJS3pKjU7otnjg0YxUMqYyQPKS/8R/z8+ctsMRbATc/feqdevOMeffgn39N/PXGfPvDDb+mZm2/Xy3+/z14/MjCoX1/9Ga1Ye5K+fM9fdeXXvqjHfnej1t19/2Hve9M/ntCTf7pFbbV7xy578fa/a+9rm/XRn/1AzdU1evqmW1+/7o67tfqcMwl4ANJClsejC+Yvs98T8JDqCHlIG7PzCnRyBaWS4a5tTz+vcz74Hs05Yqk9yJi3crnOft87tf2ZF+z1JswtOfYYnf3+dym/uEgrTj1Zl//n59TX0XXI++2ob9D9P79Wb/701RMu37XuVRvkcvLzdMwbz9auF1+xl48ODeuF2/+uN3zovTF8tACQOE6rXKiynDy3mwHEBdM1kVbOqFqoXX1d6vaOuN0UpKl5Ry5Xzcuv6NTLLxm7bNfL6zX/qBX2+9cefkzn/9OH5fd6tXv9a8rOzdFxF56nzOyD/7k2t/3zl76hd37jy3aq53iZmZny+3z2+4A/oIzQVM2nbrhFZ7zzcuUW5MfokQJAYu2Jdwp74iGNMJKHtJKVkaGLF65g7zy4xgQ4E7Z++8nP6q4f/FTXXv2vNsidGxpR62lp1cjAgP73g5/Qy3fdpzuu+Yl+9r6Pqbet/aD3eef3/8cGweWnnDjpuqPPPUsbHnxUzTt36dX7H9Yx551t1wJueeIZnXrF2zXcP6Cada+qv/PQI4UAkMzMNM3MDA57kT54tSOtmIXW8wqKdMrs+W43BWmqYet2tVTXaP5RR2ruyuVacPRRatqxS43bq+31Q719dhrlv/zpWn3gB/+lz9/6J81dcYTu+9mvDnh/r9z7kA2A533sgwe8/oSLL9Q5H3i3nv3rHVp72Vt12jverkd+8wedf/WH7c/94gNXa8dzL+rX//QZ1b76WkwfOwC44YRZc7SwsIQ98ZBWmK6JtBJeaG2mbe7u71bn6LDbTUKa+fOXv6F3/9dXtPqcM8Yu23T8E7r5/31LX3ngdhWWl+mkSy6ya+jCr1lTXfOWr3x70n21763Xw9f+Tp+87hfyDu+bguz3jioQCNg1d2aEMCMzUye+5U32ZHTWN6ppe7Xe8f8+r/t/ca2OOus0vfXfPqlZ8+fpyRv+omUnHh+3vgCAWDNr8NgTD+mIkIe0nbb55oXL9ZeaLQrKcbs5SBOjQ0Pqa+vQ4mOPnnD5omOOVldjkwI+v6qWLlEwEJxwfcDnU1ZuzqT7a929R76RUf3vh/557DLv8LC97IeXvlfv+saXtfoNZ074GRPsLv7Mx+33va3tWrBqpf2+fP482zYASBXmY923LFyu7IxMt5sCxB0hD2k7bXNufpFOqZynl9qb3G4O0kRuQYGtqmnWxpnqmWHr739YC1YdaYurnHbl2/XQL6+3I295RYV2L7un/vxXHf2Gs+xtW3btVtueOh134Ru15rxz7Gn/6Zvr731QH7/2p5N+f/2W7fKOjGj52pPs+cqli+y2CkZz9S7NXrwwxj0AAPGztnK+5hUUsyce0hIhD+k9bbNyoXb39ahjdMjtJiFNvO+ab+jGL37dBruKhQvs1gfDff368I+/a68/9oI3qn7zNv3osvdpyfFrbAgz4evN/7JvawSzXm/zY0/ZkBep+3/+a136xX8bO3/mu9+h6z/9Bf3xs/+pjroGfSjUBgBIhW2TzHu8wZ54SEcexwxpAGmsdXhQt9RsZtom4sZMyzThra+jQyWVszX/yBV27dx4/R1datpZrdI5VZq7fNnrP+v3yzs0rPyS4gPet1mLZ6ZsFlfMmnC5b3RUta9u1JGnr530M4M9vSooLeFACEBKyPR49P7la1SZV+h2UwDXEPKQ1sxnHOYTvuda6/VCe6PbzQEAADN09pxFOrVyAdM0kdbYQgFpLTyF47SqBarMK3C7OQAAYAbm5b++TRLTNJHOCHmAndphNklfbqd4AACA5JPlydBbFq5QBu/lACEPCE/bNHP33zB3CR0CAEASesPcxSrL3bfHKJDuGMkDxk3pOLFirpYXl9MnAAAkkSVFpTqhYq7bzQASBiEP2M+bFyxXcfbkjacBAEDiKcjM1sULlrvdDCChEPKA/eRlZemtC1eI1XkAACS+ixctVyEfzgITEPKAA6zPW1BYojOq9m2iCgAAEtPa2fO1tKjMvncDeB0hDzjYtgqVC7SosIT+AQAgQbdLOGvOIvs92yUAExHygIMwbximFHN+ZhZ9BABAAsnNyNQli1ayXQJwEIQ84BCKsnN08cIV9BEAAAnE7G1bkpPrdjOAhEXIAw7BzPFfVlymkyvm0U8AACSAU2bP0/KSWazDAw6BkAccQniO/9lzF2lufhF9BQCAi+YXFOvsOYvt96zDAw6OkAdMQaYnQ29fvJL1eQAAuMSskX8b6/CAKSHkAVNUnJ2rty8+UhnsoAcAQFyZeTVvWbTCrpUHcHiEPCCC9XkLC0t07rx900QAAEB8nDlnEfvhAREg5AFTFJ77f2LFPB1dVkm/AQAQB0eVVti9a8e/FwM4NEIeMA0Xzl+mOfmF9B0AADFUlVeoNy9YTh8DESLkAdOQlZGhSxcfqYLMbPoPAIAYKMjK1mVLjrTvuQAiw78aYAaFWN62eKUymDoCAEBUZXo8evuiI+17LYDIEfKAGRZieePcJfQhAABRdMH8ZVpQWMyG58A0EfKAaTKLv03QO6FirtaUU4gFAIBoOHGWeV+tsu+xFFoBpoeQB8xA+M3ngnnLNC+/iL4EAGAGFtmtivbNkCHgAdNHyAOiINMUYllypEpYOwAAwLSU5uTadXisdQdmjpAHRElhVo7esWSV8jIz6VMAACKQnZGhyxYfpbysLPoNiAJCHhBFFXn5unTxUbYqGAAAmMrBqEdvW3SkZucV0F1AlBDygBhU3GTjVgAApubCBcu0rLiMSppAFBHygBhU3FxVNltnz1lE3wIAcAhnVi2kkiYQA4Q8IMrC1cBOrVyg48qr6F8AAA7AvEeeXrVwwnsngOgg5AExdP78fVNQAADA65YXl9v3SACxQcgDYsiUgX7bopWqyiuknwEAkOy+spcsWslWCUAMEfKAGMvOyNTlS45iDz0AQNorz8mz74lZGRyCArHEvzAgDoqyzR56Rykvk/1/AADpqTArW1csXaX8rGy3mwKkPEIeECcVeQW6Yskq5WSwWToAIL2Y9753LFml0pw8t5sCpAVCHhAnZmuFuQVF+6apePinBwBID5lmffrilarKL2QvPCBOONIE4ryHntks/dLFR9o3PQAAUlmGPLbIytKifZuds1UCEB+EPMCFoLe0uGxfZTER9AAAqcm8w71l0QqtKJlFwAPijJAHuBT0zJvemxcuJ+YBAFIy4Jn3uKNKKwh4gAsIeYCLQW912WxdwGawAIAUc+H8ZTq6rJKAB7iEkAe4HPSOmzVH585dwvMAAEgJ589bqmNnzSHgAS4i5AEuCi9AP3n2PJ1ZtZDnAgCQ1N4wd7FOqJhLwANcRsgDEsTpVQt1yux5bjcDAIBpMR9WnjJ7vv2eKpqAuwh5QAJ5w9wlOrmCoAcASC6nVS6wH1YCSAyEPCDBnDtvidaGPgkFACDRmVkoZ81Z5HYzAIzjcUzlBwAJ57nWer3Q3uh2MwAAOKhTK+fr7DmL6SEgwRDygAT2QluDnmtrcLsZAABMcvacRTq1cgE9AyQgQh6Q4F5ub9LTrXVuNwMAgAnbJJgqmgASEyEPSAIbOlv0WPMet5sBAEhzZuOfixYs1zHlbHQOJDJCHpDgzLJZU4p6S3e7Hm6sEYtoAQBuyPR49NaFK7SytIJ98IAER8gDkijo7ezt1P0NuxSkXhIAII6yPBl6++Ijtay4jIAHJAFCHpBkQa+2v1v31O2Un6AHAIiDnIxMXb7kKC0sLCHgAUmCkAckYdBrHOzT3+t2aiTgd7tJAIAUlpeZpSuWrNLcgiICHpBECHlAkga9rtFh3bFnu/p8o243CQCQggqzsnXl0tWanVdAwAOSDCEPSGIDPq/u3Ltd7SNDbjcFAJBCKnLz9Y4lq1SSk+t2UwBMAyEPSHLeQED31O/U3oFet5sCAEgBiwpLbJEVM1UTQHIi5AEpIOAE9Uhjrbb2tLvdFABAEltdNlsXLThCmZ4Mt5sCYAYIeUAKeba1Xi+2N7rdDABAEjq9coHOnLPI7WYAiAJCHpBiNna16h9NtWyaDgCYkgyPRxfOX6Y15VX0GJAiCHlAClberOnr1n311fI7QbebBABI8D3w3r54pZYUsck5kEoIeUCKBr3moQH9vW6Hhvw+t5sEAEhARdk5dg88tkgAUg8hD0jhoNfvG9XddTvVOjzodpMAAAmkMq/AbpFggh6A1EPIA1KcP2gqb+7Wtt4Ot5sCAEgAy4vL9ZaFK5STmel2UwDECCEPSBPr2pv0dGsdBVkAII2dWbVQp1ctdLsZAGKMkAekkT39PbYgy2gw4HZTAABxlJuRqbcsWqEjisvpdyANEPKANFun1z06bAuydI2OuN0kAEAcVOTm69LFR6o8N3/svQBAaiPkAWloNBDQAw3V2t3f43ZTAAAxtKKkXBcvYP0dkG4IeUCaMp/mPttWr5fam9xuCgAgysxY3ZlVi3Ra1QL6FkhDhDwgze3o7dTDjTXyBdk4HQBSZf3dWxet0DLW3wFpi5AHpLHw2oyu0WHdW1+tjpEht5sEAJjh+rvLFh+lstw81t8BaYyQB2BsP73Hm/doU3cbPQIASWhVaYUunH8E+98BIOQBmGh7T4cebaqVl20WACApZGdk6Px5y3RMeaXbTQGQIBjJAzBp+mbP6Ijurd+pNqZvAkBCq8wr0CWLVmoW2yMAGIeQB+CAAsGgnmzZqw1drfQQACSgEyvm6g1zFiszI8PtpgBIMIQ8AIdUbatv7tYo0zcBICHkZWbpzQuO0PKSWW43BUCCIuQBOOz0zV7viO6rr1bL8CC9BQAuWlhYorcuXKGi7ByqZwI4KEIegCkJOEE921qvVzqa5dBnABD3zc1Pr1qo0ysX2A/fAOBQCHkAItI42KeHGmvU4x2l5wAgDsyonRm9M6N4ADAVhDwAEU/f9AUDeqqlTq9RlAUAYmp12WydN2+pXYcX/hsMAIdDyAMwbXsHevRQ424N+Lz0IgBEUUFmti5csEwrKK4CYBoIeQCmJfyJ8mjAr8eb92hrTwc9CQBRsLJkli6cv0z5WdmM3gGYFkIegKjY1delRxtrNRTw0aMAMA1mSub585ZqVdls+g/AjBDyAERtVG/Y79OjTbWq7uuiVwEgwtG78+cvVWEWWyMAmDlCHoCo297Tocea92gk4Kd3AeAwa+9MuDuytIJ+AhA1hDwAMRvVMxU4t/S008MAcACrSits5UzW3gGINkIegJhqGOyzUzi7RofpaQCQVJqTa9feLSsupz8AxAQhD0DMR/UCwaDWdTTrxfYG+R2HHgeQljI9Hq2dPV+nVi5QVkYGlTMBxAwhD0Dc9HhH9I+mWu0d6KXXAaSVpUWlOn/eMpXl5rndFABpgJAHwJXCLE+27NWgn+0WAKS2ouwcvXHuEgqrAIgrQh4A1zZRf6a1Xhu7WsUETgCpJkMenVgxV2dULVROZiZTMwHEFSEPgKuahwb0eHOtWoYHeSYApIQFBcW6YP4yzc4rcLspANIUIQ+A66N6xraeDj3TWqd+n5dnBEDS7nl3ztzFOqa8ctLfOACIJ0IeANeFD4T8tgpnk17uaJIvGHS7WQAwJVmeDJ08e56tnMnUTACJgJAHIOEM+rx6tq1eW7rbWa8HIGGZMbqjyyp11pxFtsAKACQKQh6AhNU+PKgnWvaqfrDP7aYAwARLikr1hrmLVZlXSM8ASDiEPAAJafxalpq+bj3Vslfd3hG3mwUgzc3OLbDhbmlxmT3PujsAiYiQByChhQ+ggo6j17pa9UJbg4YDfrebBSDNFGXl6Mw5C3VMWaX9m0S4A5DICHkAkoo3ENCrnS16pbNJI4GA280BkOJyMjJ1yux5trBKdkam280BgCkh5AFISmYz9fWdLVrf0azRIGEPQHRlZ2TohFlzbbgryMqmewEkFUIegKQ2EvDrlY5mO7rnJewBiFK4M6N3+YQ7AEmKkAcgJQz7fVrX0awNXS3ssQcgYoQ7AKmEkAcgpQz5fXq5vckWafE7bKgO4PBr7k6omKOTKxi5A5A6CHkAUnZD9Zc6mrSpq42wB+CA4e7Eirk23OVlZdFDAFIKIQ9Ayk/jNOv1NnS12vV7ANJbrh25I9wBSG2EPABpwRcM2FG9Vzqb1e/zut0cAHFWkp2rkyrmak15lXIy2QoBQGoj5AFIKwEnqB09nTbstY8Mud0cADE2L7/IboOwomSWMjwe+htAWiDkAUhbdQO9dvuF2oEet5sCIIpMlFtZMsuGu3kFxfQtgLRDyAOQlhzHkSf0qX7nyJDdWH1bT7v8juN20wDMoJjKmvJKnVgxT6U5uZP+rQNAuiDkAUhr4w8ATZGWLT3t2tjVph7viNtNAzBFxdk5tlLmseVVys2kUiYAEPIA4AD2DvTYsFfT162gGN0DEo35aGZpcZkNdkcUl7PeDgDGIeQBwCFG9wZ8Xm3ubtOm7jaqcgIJMmpnKmSaaZnF2fumZAIAJiLkAcAUBB1Htf1mdK9VewZ6GNsD4ihDHh1hRu1mVWlpURlr7ADgMAh5ABChPu+oNna3akt3uwb9PvoPiJHS7FytmVWlY8oqVZSdQz8DwBQR8gBgBqN7ZhuGbb0d2tXXJV8wSF8CM5Tp8Wh5cbkdtVtSVEZ/AsA0EPIAIAp8wYAt0rKtp0N7B3op1gJEcjAiaXFRqY4qrbD724UrZLL9AQBMDyEPAKJsyO/Tjt5Obe/pUPPwAP0LHMT8giKtKp2tlaWzVJjFdEwAiBZCHgDEUM/oiJ3OaUb42HsPkCrzCmywM6N2JaENywEA0UXIA4AY2X+qWcvQgHb1d9lpnZ2jw/Q70kZZTp5WlVboqNLZqsjLd7s5AJDyCHkA4ELg6x4dVk1/t3b1dat5qJ8tGZBy5uYX2W0PTBGVyvzCsctZZwcAsUfIA4A42/8g16zh2x0KfHUDPfI7Ds8Jkk6WJ0NLikp1RHG5DXeF47Y8INgBQHwR8gAgwap0muqcZkuG3f09Ggn43W4ScFBFWTk20B1RUq7FhaXKysigtwAgARDyACCB9+FrHR6woa9+sE9NQ/0KMMoHF5nx56r8wtBoXbnmjJuGCQBIHIQ8AEiiUb7GwX7VDfba4Nc+MuR2k5AGynPy7B52ZqRuUVGJ8kJ72BlMwwSAxETIA4AkNez3qW6wT3UDvfbU6xt1u0lIAaXZuVpYWGJPi4tKVJzNNgcAkGwIeQCQInq9I3ZaZ/PQgJ3a2TU6TNVOHFZZzuuhbmFByaS96xitA4DkQ8gDgBRwoAPx0YBfLcODdosGE/yahwco5JLmzFTLufmFmpNfZLc4mFtQqMKs16tgGoQ6AEh+hDwASCNmfz470jc8YMNfx8gQo30pKsvjUWVeoeYWFGleKNSV5eZNuh2hDgBSDyEPSFNtbW0aGRnR4sWL4/L71q9fr4KCAq1atSouvw9TL+Zigt6+07A6RodsQRe2bkgu2RkZqsgt0Oy8/LFRusq8AmXsN7oLAEgPr5fIApBWbrnlFu3atUv/+7//e8jbbdiwQb/85S8PeZu5c+fqO9/5ziFvs3nzZt155532dDh//etfde+99x70+l/84hcqLy8/7P3g8LIzMjWvoNiexhvweW3gGwt/I0PqGh1io/YECXMVufmqyMsf+37/dXQAgPRGyAPSxOOPP66hoddL7m/ZskVNTU267777JtzuoosuUnZ29tj5qqoqXXzxxQe8z87OTn3ta1/TBz/4wQmXNzc369JLL51wmc/ns0Fv7dq1Ey5fsmSJbr/99knBMjMzU+9617sm/c6rrrrKPg5CXmwVZefY09Kisgn79vV4R2zgM197vaO22Iv52u/zKsjEz6gpzMpWSXauZhHmAADTwHRNIE2sXLlSxxxzjIqL943YbNu2Tf39/Tr11FPHbnPbbbepsbFRFRUVh72/xx57TJ/4xCf01a9+VR/96EcnXOf3+1VTU2O/v/766+3v+dznPjd2/Wc/+1lddtllOu+885STk6Nly5ZN+Pn/9//+n8rKyvTlL3950u9dtGiRXnjhBS1YsGAavYBYMQGwzzc6IfjZr6HLmP75OjOBsjA7x4Y4s11BcU5O6GvofHausjIyeLECAKaNkTwgjfzkJz/R8uXL7fc///nPJ03XfPDBB6d0P2b0zkz3NKHwpJNOmnR9VlaWjjrqKPv9u9/9bhvqwufNiN7GjRv1t7/9za7RO5jR0VENDg5OujwYDE6pjYgvs/arLCfPnqTSSdebSp+Dft++k88b+n7f1yG/z+75NxTw268Bx0naypX55pSVbb8WZGXby8zX/KwsFWXl2GmVxdk5yvQQ4gAAsUPIA9LII488YqdMGps2bbLTKv/+979PCFZT8Zvf/EYvv/yyli5detDbfOxjH1N9fb0CgYBefPFFvelNb7KXDwwM2JMZyQv705/+pPnz54+dLykp0a9+9Stdd911k+43IyPDTuVEcsnNzLInM/3wcLyBgIYCPo34/fIGA7Y4jC8YDH0f3O/8xO/9QUfmP8MZ9z/zJXxpOEM640bWzMiZWe+W5ckc933o69j3r1+Xk5E5KcxR5AQAkCgIeUAaMVMsS0tLx9bk9fX1TShw4vV6J9z+1VdftbfZX3g0bu/evRMuX716tV3DZzz//PP6yle+oiOOOOKw7Zo1a9ak6ZrmhPSUk5lpT5q4fRsAAJgiQh6QRr7//e8fcrrmXXfdNeH2N9xwg7Zv3z7pfkzhE/PzZj3deF/84hd1/vnnj503UznNOsCpeuCBB/Q///M/Ey778Ic/rCuuuEKXX375hMvz8vJ0zz33TPm+AQAA0gUhD0gjkU7X/OlPf3rA+6msrNStt956yAItw8PDys8//NS88Uy1z8LCQhsWjT//+c/avXu3LeRipoeGK4GakGmCHwAAACYj5AFpFvLMejdj69atdirm+NG7K6+8Urm5M99vy4Sy1tZWuz1CpObNm6ezzjrLfv/MM8/YDdsNs61D+PIDFWQBAADAPoQ8IE2sWbPGTrFcuHDhQadrGmZ6ptnyYP/97CJh1uqZgEeBFAAAgPgj5AFp4s4775xw3mxf0N3dfcDiLNXV1YcMeYfbxuAvf/mLzj333Gm1c+fOnbrpppvGCr+YYi6GGdELXx4e3QMAAMBkhDwgTZktDczat3e84x0qKioaq5r56KOP6v/+7/8m3d5saVBXV2eneJqQF572eaCpmr/85S/11FNPTatdLS0tdpqmsWfPnrGQZ+43fLlpJwAAAA7M4zhJuussgBnr7e3Vc889N2FkzqyJO9AG50888YR27Nghj8dj18Ydqmrmhg0bdMIJJ0TcHrOvXk9Pj4499lh7vqamxrZt2bJldoTxoosuspebvffM+sKLL7444t8BAACQ6gh5AAAAAJBCMtxuAAAAAAAgegh5AAAAAJBCCHkAAAAAkEIIeQAAAACQQgh5AAAAAJBCCHkAAAAAkEIIeQAAAACQQgh5AAAAAJBCCHkAAAAAkEIIeQAAAACQQgh5AAAAAJBCCHkAAAAAkEIIeQAAAACQQgh5AAAAAJBCCHkAAAAAkEIIeQAAAACQQgh5AAAAAJBCCHkAAAAAkEIIeQAAAACQQgh5AAAAAKDU8f8BxJ9JpoS4WCMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 900x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[8772995e-9c81-46ba-b2f4-911628ef324b] 问题：销售部一共下了多少订单？再用饼图展示各产品类别的库存占比\n",
      "------------------------------------------------------------\n",
      "  🔧 调用 sql_db_query：{'query': \"SELECT COUNT(*) AS order_count\\nFROM orders o\\nJOIN employees e ON o.\n",
      "  🔧 调用 execute_python_code：{'code': '\\nimport matplotlib.pyplot as plt\\n\\nplt.rcParams[\\'font.sans-serif\\']\n",
      "------------------------------------------------------------\n",
      "最终回答：\n",
      "## 分析结果\n",
      "\n",
      "### 1. 销售部订单数\n",
      "销售部累计下了 **3 单**（将 employees 表中 department='销售部' 的员工与 orders 表关联统计）。\n",
      "\n",
      "### 2. 各产品类别库存占比\n",
      "| 类别 | 库存数 | 占比 |\n",
      "|------|--------|------|\n",
      "| 电子产品 | 1900 | 86.4% |\n",
      "| 办公用品 | 300 | 13.6% |\n",
      "| **合计** | **2200** | 100% |\n",
      "\n",
      "### 业务洞察\n",
      "- **库存结构高度倾斜**：电子产品占据了近九成库存，办公用品仅有约一成，建议结合销售数据评估是否存在库存积压风险——电子产品若周转慢容易占用大量资金。\n",
      "- **销售部订单量偏低**：仅 3 单的体量相对较小，建议进一步分析是销售部人数少，还是订单周期/时间窗口短所致（可结合 order_date 进一步看时间分布）。\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'messages': [HumanMessage(content='销售部一共下了多少订单？再用饼图展示各产品类别的库存占比', additional_kwargs={}, response_metadata={}, id='18a16b95-3598-4bbd-928c-01683731c3eb'),\n",
       "  AIMessage(content='我来帮你完成这两个需求。先用 SQL 查销售部订单数，再用 Python 画库存占比饼图。', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 292, 'prompt_tokens': 1571, 'total_tokens': 1863, 'completion_tokens_details': None, 'prompt_tokens_details': {'audio_tokens': None, 'cached_tokens': 128}, 'total_characters': 0}, 'model_provider': 'openai', 'model_name': 'MiniMax-M3', 'system_fingerprint': None, 'id': '06928db88930054ea0878a1b13db352e', 'service_tier': 'standard', 'finish_reason': 'tool_calls', 'logprobs': None}, id='lc_run--019f171a-5fea-7c11-85e3-89e0ae17491f-0', tool_calls=[{'name': 'sql_db_query', 'args': {'query': \"SELECT COUNT(*) AS order_count\\nFROM orders o\\nJOIN employees e ON o.employee_id = e.id\\nWHERE e.department = '销售部'\"}, 'id': 'call_PIkGBTmUZJUGWKFzHWLpoL58', 'type': 'tool_call'}, {'name': 'execute_python_code', 'args': {'code': '\\nimport matplotlib.pyplot as plt\\n\\nplt.rcParams[\\'font.sans-serif\\'] = [\\'SimHei\\', \\'PingFang SC\\', \\'DejaVu Sans\\']\\nplt.rcParams[\\'axes.unicode_minus\\'] = False\\n\\n# 统计各产品类别库存\\ncategory_stock = products_df.groupby(\\'category\\')[\\'stock\\'].sum().sort_values(ascending=False)\\nprint(\"各产品类别库存汇总：\")\\nprint(category_stock)\\nprint(f\"\\\\n总库存：{category_stock.sum()}\")\\n\\n# 画饼图\\nplt.figure(figsize=(9, 7))\\ncolors = plt.cm.Set3.colors\\nplt.pie(category_stock, labels=category_stock.index, autopct=\\'%1.1f%%\\',\\n        startangle=90, colors=colors, wedgeprops={\\'edgecolor\\': \\'white\\', \\'linewidth\\': 1.5})\\nplt.title(\\'Inventory Share by Product Category\\')\\nplt.axis(\\'equal\\')\\nplt.tight_layout()\\n'}, 'id': 'call_Hx3ltoGJPY8tnKb9cPFL93KY', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 1571, 'output_tokens': 292, 'total_tokens': 1863, 'input_token_details': {'cache_read': 128}, 'output_token_details': {}}),\n",
       "  ToolMessage(content='[(3,)]', name='sql_db_query', id='1bbb200b-835c-41ec-997f-687766651532', tool_call_id='call_PIkGBTmUZJUGWKFzHWLpoL58'),\n",
       "  ToolMessage(content='执行成功：\\n各产品类别库存汇总：\\ncategory\\n电子产品    1900\\n办公用品     300\\nName: stock, dtype: int64\\n\\n总库存：2200\\n📊 已渲染 1 张图表。', name='execute_python_code', id='ef3e1b30-2ccd-4c15-9d02-c1f94edf3c67', tool_call_id='call_Hx3ltoGJPY8tnKb9cPFL93KY'),\n",
       "  AIMessage(content=\"## 分析结果\\n\\n### 1. 销售部订单数\\n销售部累计下了 **3 单**（将 employees 表中 department='销售部' 的员工与 orders 表关联统计）。\\n\\n### 2. 各产品类别库存占比\\n| 类别 | 库存数 | 占比 |\\n|------|--------|------|\\n| 电子产品 | 1900 | 86.4% |\\n| 办公用品 | 300 | 13.6% |\\n| **合计** | **2200** | 100% |\\n\\n### 业务洞察\\n- **库存结构高度倾斜**：电子产品占据了近九成库存，办公用品仅有约一成，建议结合销售数据评估是否存在库存积压风险——电子产品若周转慢容易占用大量资金。\\n- **销售部订单量偏低**：仅 3 单的体量相对较小，建议进一步分析是销售部人数少，还是订单周期/时间窗口短所致（可结合 order_date 进一步看时间分布）。\", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 198, 'prompt_tokens': 1935, 'total_tokens': 2133, 'completion_tokens_details': None, 'prompt_tokens_details': {'audio_tokens': None, 'cached_tokens': 1570}, 'total_characters': 0}, 'model_provider': 'openai', 'model_name': 'MiniMax-M3', 'system_fingerprint': None, 'id': '06928dbf49a056939b6e18271395681c', 'service_tier': 'standard', 'finish_reason': 'stop', 'logprobs': None}, id='lc_run--019f171a-79c6-7f92-9d6b-30fa2e8034ac-0', tool_calls=[], invalid_tool_calls=[], usage_metadata={'input_tokens': 1935, 'output_tokens': 198, 'total_tokens': 2133, 'input_token_details': {'cache_read': 1570}, 'output_token_details': {}})]}"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ============================================================\n",
    "# 演示：同一个 Agent，三种问题各跑一遍，看它自己怎么选工具\n",
    "# ============================================================\n",
    "import warnings\n",
    "import uuid\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "\n",
    "async def ask(query: str, thread_id: str = \"default\"):\n",
    "    \"\"\"统一入口：直接问，工具调用全交给 LLM。\n",
    "\n",
    "    thread_id 标识一段对话：相同 thread_id 共享记忆（能追问），\n",
    "    不同 thread_id 互相隔离。\n",
    "    \"\"\"\n",
    "    # config 把当前对话的 thread_id 传给 checkpointer，实现记忆\n",
    "    config = {\"configurable\": {\"thread_id\": thread_id}}\n",
    "    response = await agent.ainvoke(\n",
    "        {\"messages\": [{\"role\": \"user\", \"content\": query}]}, config\n",
    "    )\n",
    "\n",
    "    # 打印 Agent 的工具调用轨迹，验证它确实自主选择了工具\n",
    "    print(f\"[{thread_id}] 问题：{query}\\n{'-'*60}\")\n",
    "    # response[\"messages\"] 含全部历史，只看最后一轮新增的工具调用即可\n",
    "    for msg in response[\"messages\"]:\n",
    "        if hasattr(msg, \"tool_calls\") and msg.tool_calls:\n",
    "            for tc in msg.tool_calls:\n",
    "                print(f\"  🔧 调用 {tc['name']}：{str(tc.get('args', {}))[:80]}\")\n",
    "    print(f\"{'-'*60}\\n最终回答：\\n{response['messages'][-1].content}\\n\")\n",
    "    return response\n",
    "\n",
    "\n",
    "# 1) 纯取数 —— 期望只走 SQL 工具\n",
    "#ask(\"公司一共有多少名员工？\")\n",
    "\n",
    "# 2) 纯画图 —— 期望直接用 execute_python_code 操作沙箱里的 DataFrame\n",
    "#ask(\"画一个柱状图，展示各部门的平均薪资对比\")\n",
    "\n",
    "# 3) 既要数又要图 —— 期望先 SQL 后 Python\n",
    "await ask(\"销售部一共下了多少订单？再用饼图展示各产品类别的库存占比\", thread_id=str(uuid.uuid4()))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "fc760f63",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===== 对话 chat-1：连续追问，验证记忆 =====\n",
      "\n",
      "[chat-1] 问题：技术部有哪些员工？\n",
      "------------------------------------------------------------\n",
      "  🔧 调用 sql_db_query：{'query': \"SELECT id, name, department, salary, hire_date FROM employees WHERE d\n",
      "------------------------------------------------------------\n",
      "最终回答：\n",
      "技术部共有 **2 名员工**：\n",
      "\n",
      "| ID | 姓名 | 薪资（元） | 入职日期 |\n",
      "|---|---|---|---|\n",
      "| 1 | 张三 | 20,000 | 2023-01-15 |\n",
      "| 3 | 王五 | 16,000 | 2022-11-10 |\n",
      "\n",
      "**小贴士**：如果部门名称不一定是「技术部」（可能有「研发部」「Tech」等变体），建议用模糊匹配 `WHERE department LIKE '%技术%'`。需要我帮你按全公司部门做一次统计或画个部门人数对比图吗？\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[chat-1] 问题：他们的平均薪资是多少？再画一个柱状图展示他们各自的薪资\n",
      "------------------------------------------------------------\n",
      "  🔧 调用 sql_db_query：{'query': \"SELECT id, name, department, salary, hire_date FROM employees WHERE d\n",
      "  🔧 调用 execute_python_code：{'code': '\\nimport matplotlib.pyplot as plt\\n\\n# 设置中文字体\\nplt.rcParams[\\'font.san\n",
      "------------------------------------------------------------\n",
      "最终回答：\n",
      "## 分析结果\n",
      "\n",
      "**📊 平均薪资：18,000 元**\n",
      "\n",
      "| 员工 | 薪资（元） | 与平均的差异 |\n",
      "|---|---|---|\n",
      "| 张三 | 20,000 | +2,000（高于平均 11.1%）|\n",
      "| 王五 | 16,000 | -2,000（低于平均 11.1%）|\n",
      "\n",
      "**💡 业务洞察**：\n",
      "- 技术部只有 2 人，团队规模偏小，统计意义上的\"平均\"参考价值有限\n",
      "- 两人薪资差距 4,000 元，**张三比王五高 25%**，可能反映岗位级别（如张三可能是技术负责人/架构师）\n",
      "- 如果想看全公司各部门薪资对比、技术部在全公司的水平，我可以再做一张横向对比图，是否需要？\n",
      "\n",
      "\n",
      "===== 对话 chat-2：换线程，验证记忆隔离 =====\n",
      "\n",
      "[chat-2] 问题：他们是谁？\n",
      "------------------------------------------------------------\n",
      "------------------------------------------------------------\n",
      "最终回答：\n",
      "你好！\"他们\"通常需要结合上下文才能确定指的是谁，但我这边是刚开启的对话，没有上文可参考 🤔\n",
      "\n",
      "请问你说的\"他们\"具体指代什么呢？比如：\n",
      "- 某次查询结果中的某些员工？\n",
      "- 某个部门的所有人？\n",
      "- 销量 Top 的几位销售员？\n",
      "- 还是其他什么？\n",
      "\n",
      "给我多一点提示（或者直接说\"查询一下XX\"），我马上帮你从数据库里找出来。\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'messages': [HumanMessage(content='他们是谁？', additional_kwargs={}, response_metadata={}, id='073070f0-b23b-46f9-a5ee-a209b8323930'),\n",
       "  AIMessage(content='你好！\"他们\"通常需要结合上下文才能确定指的是谁，但我这边是刚开启的对话，没有上文可参考 🤔\\n\\n请问你说的\"他们\"具体指代什么呢？比如：\\n- 某次查询结果中的某些员工？\\n- 某个部门的所有人？\\n- 销量 Top 的几位销售员？\\n- 还是其他什么？\\n\\n给我多一点提示（或者直接说\"查询一下XX\"），我马上帮你从数据库里找出来。', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 90, 'prompt_tokens': 1557, 'total_tokens': 1647, 'completion_tokens_details': None, 'prompt_tokens_details': {'audio_tokens': None, 'cached_tokens': 1522}, 'total_characters': 0}, 'model_provider': 'openai', 'model_name': 'MiniMax-M3', 'system_fingerprint': None, 'id': '06926e1277c17e78b5dc11aabf50480f', 'service_tier': 'standard', 'finish_reason': 'stop', 'logprobs': None}, name='MiniMax AI', id='lc_run--019f169e-c0a8-7aa0-b815-0a47c2acd282-0', tool_calls=[], invalid_tool_calls=[], usage_metadata={'input_tokens': 1557, 'output_tokens': 90, 'total_tokens': 1647, 'input_token_details': {'cache_read': 1522}, 'output_token_details': {}})]}"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ============================================================\n",
    "# 验证对话记忆：多轮追问 + 线程隔离\n",
    "# ============================================================\n",
    "# 关键看点：第二轮用“他们”指代第一轮的“技术部员工”，Agent 能否听懂。\n",
    "\n",
    "print(\"===== 对话 chat-1：连续追问，验证记忆 =====\\n\")\n",
    "\n",
    "# 第 1 轮：明确问技术部有哪些员工\n",
    "ask(\"技术部有哪些员工？\", thread_id=\"chat-1\")\n",
    "\n",
    "# 第 2 轮：用“他们”指代上一轮的技术部员工——记忆生效才能答对\n",
    "ask(\"他们的平均薪资是多少？再画一个柱状图展示他们各自的薪资\", thread_id=\"chat-1\")\n",
    "\n",
    "\n",
    "print(\"\\n===== 对话 chat-2：换线程，验证记忆隔离 =====\\n\")\n",
    "\n",
    "# 换一个全新的 thread_id，这段对话看不到 chat-1 的历史\n",
    "# 预期：Agent 不知道“他们”指谁，会反问或答不上来\n",
    "ask(\"他们是谁？\", thread_id=\"chat-2\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "98dd49e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## 📊 产品销售分析报告\n",
      "\n",
      "### 一、各产品销售数据汇总\n",
      "\n",
      "| 排名 | 产品名称 | 类别 | 单价 | 卖出数量 | 总金额 |\n",
      "|------|---------|------|------|---------|--------|\n",
      "| 🥇 1 | 笔记本电脑 | 电子产品 | ¥6,999 | 12 | ¥83,988 |\n",
      "| 🥈 2 | 显示器 | 电子产品 | ¥1,200 | 5 | ¥6,000 |\n",
      "| 🥉 3 | 机械键盘 | 电子产品 | ¥399 | 15 | ¥5,985 |\n",
      "| 4 | 办公椅 | 办公用品 | ¥499 | 6 | ¥2,994 |\n",
      "\n",
      "---\n",
      "\n",
      "### 二、关键业务洞察\n",
      "\n",
      "**1. 销售额冠军：笔记本电脑**\n",
      "- 凭借高单价（¥6,999）成为绝对的 **销售金额之王**，贡献了总销售额的 **84.6%**（¥83,988 / ¥98,967），是公司收入的核心支柱。\n",
      "\n",
      "**2. 销量冠军：机械键盘**\n",
      "- 卖出 **15 件**，是所有产品中销量最高的，但因单价低，总金额仅排第三。属于典型的 **\"走量型\"产品**。\n",
      "\n",
      "**3. 产品定位差异明显**\n",
      "- **高价值型**：笔记本电脑 —— 量少但金额高\n",
      "- **高销量型**：机械键盘 —— 量大但金额低\n",
      "- **中规中矩**：显示器、办公椅 —— 量和价都处于中等水平\n",
      "\n",
      "**4. 品类集中度高**\n",
      "- \"电子产品\"类别包揽前三，占总销售额的 **96.9%**，\"办公用品\"类仅占 3%。\n",
      "\n",
      "---\n",
      "\n",
      "### 三、经营建议\n",
      "\n",
      "| 建议方向 | 具体措施 |\n",
      "|---------|---------|\n",
      "| **重点保供** | 笔记本电脑贡献近85%收入，应优先保障库存和供应链 |\n",
      "| **提升客单价** | 显示器作为电脑配件，可考虑**捆绑销售**提升总金额 |\n",
      "| **扩大规模** | 机械键盘销量好，可加大推广，冲量增利 |\n",
      "| **关注弱势品类** | 办公椅销售偏低，建议分析原因（定价？曝光？）并优化 |\n",
      "\n",
      "> **核心结论**：**笔记本电脑是公司最受欢迎且最具商业价值的产品**，而**机械键盘是最受消费者青睐的走量产品**。两者应作为业务发展的双引擎。\n"
     ]
    }
   ],
   "source": [
    "responses = sql_agent.invoke({\"messages\": [{\"role\": \"user\", \"content\": \"请列出不同产品的价格，以及卖出的数量和总金额，分析哪些产品更受欢迎？\"}]})\n",
    "responses = responses[\"messages\"][-1].content\n",
    "print(responses)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "02-data-analysis",
   "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": "3.11.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}