960 lines
378 KiB
Plaintext
960 lines
378 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2025-06-22T15:02:24.946614Z",
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"start_time": "2025-06-22T15:02:24.680716Z"
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}
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},
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"source": [
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"%load_ext autoreload\n",
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"%autoreload 2\n",
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"\n",
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"from src.analysis.result_analyzer import ResultAnalyzer\n",
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"# 导入所有必要的模块\n",
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"from src.data_manager import DataManager\n",
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"from src.backtest_engine import BacktestEngine\n",
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"from src.strategies.SimpleLimitBuyStrategy import SimpleLimitBuyStrategy\n",
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"\n",
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"\n",
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"def main():\n",
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" # --- 配置参数 ---\n",
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" # 获取当前脚本所在目录，假设数据文件在项目根目录下的 data 文件夹内\n",
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" data_file_path = '/mnt/d/PyProject/NewQuant/data/data/SHFE_rb2501/SHFE_rb2501_min60.csv'\n",
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"\n",
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" initial_capital = 100000.0\n",
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" slippage_rate = 0.000 # 假设每笔交易0.1%的滑点\n",
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" commission_rate = 0.0002 # 假设每笔交易0.02%的佣金\n",
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"\n",
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" strategy_parameters = {\n",
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" 'symbol': \"SHFE_rb2501\", # 根据您的数据文件中的品种名称调整\n",
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" 'trade_volume': 20,\n",
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" 'open_range_factor_1_ago': 1.7, # 示例值，需要通过网格搜索优化\n",
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" 'open_range_factor_7_ago': -1.8, # 示例值\n",
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" 'max_position': 10,\n",
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" 'enable_log': True\n",
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" }\n",
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"\n",
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" # --- 1. 初始化数据管理器 ---\n",
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" print(\"初始化数据管理器...\")\n",
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" data_manager = DataManager(file_path=data_file_path, symbol=strategy_parameters['symbol'])\n",
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" # 确保 DataManager 能够重置以进行多次回测\n",
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" # data_manager.reset() # 首次运行不需要重置\n",
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"\n",
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" # --- 2. 初始化回测引擎并运行 ---\n",
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" print(\"\\n初始化回测引擎...\")\n",
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" engine = BacktestEngine(\n",
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" data_manager=data_manager,\n",
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" strategy_class=SimpleLimitBuyStrategy,\n",
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" current_segment_symbol='SHFE_rb2501',\n",
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" strategy_params=strategy_parameters,\n",
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" initial_capital=initial_capital,\n",
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" slippage_rate=slippage_rate,\n",
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" commission_rate=commission_rate\n",
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" )\n",
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"\n",
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" print(\"\\n开始运行回测...\")\n",
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" engine.run_backtest()\n",
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" print(\"\\n回测运行完毕。\")\n",
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"\n",
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" # --- 3. 获取回测结果 ---\n",
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" results = engine.get_backtest_results()\n",
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" portfolio_snapshots = results[\"portfolio_snapshots\"]\n",
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" trade_history = results[\"trade_history\"]\n",
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" initial_capital_result = results[\"initial_capital\"]\n",
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" bars = results[\"all_bars\"]\n",
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"\n",
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" # --- 4. 结果分析与可视化 ---\n",
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" if portfolio_snapshots:\n",
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" analyzer = ResultAnalyzer(portfolio_snapshots, trade_history, bars, initial_capital_result)\n",
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"\n",
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" analyzer.generate_report()\n",
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" analyzer.plot_performance()\n",
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" else:\n",
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" print(\"\\n没有生成投资组合快照，无法进行结果分析。\")\n",
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"\n",
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" # --- 4. 结果分析与可视化 (待实现) ---\n",
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" # if portfolio_snapshots:\n",
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" # analyzer = ResultAnalyzer(portfolio_snapshots, trade_history, initial_capital_result)\n",
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" # metrics = analyzer.calculate_all_metrics()\n",
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" # print(\"\\n--- 绩效指标 ---\")\n",
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" # for key, value in metrics.items():\n",
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" # print(f\" {key}: {value:.4f}\")\n",
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" #\n",
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" # print(\"\\n--- 绘制绩效图表 ---\")\n",
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" # analyzer.plot_performance()\n",
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" # else:\n",
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" # print(\"\\n没有生成投资组合快照，无法进行结果分析。\")\n",
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"\n",
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"\n",
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"if __name__ == '__main__':\n",
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" main()\n"
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],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"The autoreload extension is already loaded. To reload it, use:\n",
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" %reload_ext autoreload\n",
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"初始化数据管理器...\n",
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"数据加载成功: /mnt/d/PyProject/NewQuant/data/data/SHFE_rb2501/SHFE_rb2501_min60.csv\n",
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"数据范围从 2024-08-30 14:00:00 到 2024-11-29 21:00:00\n",
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"总计 404 条记录。\n",
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"\n",
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"初始化回测引擎...\n",
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"模拟器初始化：初始资金=100000.00, 滑点率=0.0, 佣金率=0.0002\n",
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"策略 (SHFE_rb2501): 策略初始化: symbol=SHFE_rb2501, trade_volume=20, open_range_factor_1_ago=1.7, open_range_factor_7_ago=-1.8, max_position=10, 止损点=10, 止盈点=10\n",
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"\n",
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"--- 回测引擎初始化完成 ---\n",
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" 策略: SimpleLimitBuyStrategy\n",
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" 初始资金: 100000.00\n",
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"\n",
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"开始运行回测...\n",
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"\n",
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"--- 回测开始 ---\n",
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"SimpleLimitBuyStrategy 策略初始化回调被调用。\n",
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"开始将 DataFrame 转换为 Bar 对象流...\n",
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"[2024-09-02 13:00:00] 策略 (SHFE_rb2501): 3235.0 23.8 -86.4\n",
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"[2024-09-02 13:00:00] 策略 (SHFE_rb2501): [2024-09-02 13:00:00] 开多仓信号 - 当前Open=3235.00, 前1Range=14.00, 前7Range=48.00, 计算目标买入价=3297.60\n",
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"[2024-09-02 13:00:00] 策略 (SHFE_rb2501): [2024-09-02 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240902130000_0 @ 3297.60\n",
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"[2024-09-02 14:00:00] 策略 (SHFE_rb2501): [2024-09-02 14:00:00] 止损信号 - PnL per unit: -12.00, 目标: -10.00\n",
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"[2024-09-02 21:00:00] 策略 (SHFE_rb2501): 3223.0 40.8 -43.2\n",
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"[2024-09-02 21:00:00] 策略 (SHFE_rb2501): [2024-09-02 21:00:00] 开多仓信号 - 当前Open=3223.00, 前1Range=24.00, 前7Range=24.00, 计算目标买入价=3225.40\n",
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"[2024-09-02 21:00:00] 策略 (SHFE_rb2501): [2024-09-02 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240902210000_2 @ 3225.40\n",
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"[2024-09-03 10:00:00] 策略 (SHFE_rb2501): [2024-09-03 10:00:00] 止损信号 - PnL per unit: -15.00, 目标: -10.00\n",
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"[2024-09-03 11:00:00] 策略 (SHFE_rb2501): 3208.0 44.199999999999996 -19.8\n",
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"[2024-09-03 11:00:00] 策略 (SHFE_rb2501): [2024-09-03 11:00:00] 开多仓信号 - 当前Open=3208.00, 前1Range=26.00, 前7Range=11.00, 计算目标买入价=3183.60\n",
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"[2024-09-03 11:00:00] 策略 (SHFE_rb2501): [2024-09-03 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240903110000_4 @ 3183.60\n",
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"[2024-09-03 14:00:00] 策略 (SHFE_rb2501): [2024-09-03 14:00:00] 止损信号 - PnL per unit: -34.60, 目标: -10.00\n",
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"[2024-09-03 21:00:00] 策略 (SHFE_rb2501): 3140.0 61.199999999999996 -25.2\n",
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"[2024-09-03 21:00:00] 策略 (SHFE_rb2501): [2024-09-03 21:00:00] 开多仓信号 - 当前Open=3140.00, 前1Range=36.00, 前7Range=14.00, 计算目标买入价=3104.00\n",
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"[2024-09-03 21:00:00] 策略 (SHFE_rb2501): [2024-09-03 21:00:00] 策略: 发送订单失败。\n",
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"[2024-09-03 22:00:00] 策略 (SHFE_rb2501): 3129.0 57.8 -54.0\n",
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"[2024-09-03 22:00:00] 策略 (SHFE_rb2501): [2024-09-03 22:00:00] 开多仓信号 - 当前Open=3129.00, 前1Range=34.00, 前7Range=30.00, 计算目标买入价=3125.20\n",
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"[2024-09-03 22:00:00] 策略 (SHFE_rb2501): [2024-09-03 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240903220000_7 @ 3125.20\n",
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"[2024-09-04 09:00:00] 策略 (SHFE_rb2501): [2024-09-04 09:00:00] 止盈信号 - PnL per unit: 12.80, 目标: 10.00\n",
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"[2024-09-04 10:00:00] 策略 (SHFE_rb2501): 3138.0 61.199999999999996 -70.2\n",
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"[2024-09-04 10:00:00] 策略 (SHFE_rb2501): [2024-09-04 10:00:00] 开多仓信号 - 当前Open=3138.00, 前1Range=36.00, 前7Range=39.00, 计算目标买入价=3147.00\n",
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"[2024-09-04 10:00:00] 策略 (SHFE_rb2501): [2024-09-04 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240904100000_9 @ 3147.00\n",
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"[2024-09-04 13:00:00] 策略 (SHFE_rb2501): [2024-09-04 13:00:00] 止损信号 - PnL per unit: -23.00, 目标: -10.00\n",
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"[2024-09-04 14:00:00] 策略 (SHFE_rb2501): 3115.0 37.4 -61.2\n",
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"[2024-09-04 14:00:00] 策略 (SHFE_rb2501): [2024-09-04 14:00:00] 开多仓信号 - 当前Open=3115.00, 前1Range=22.00, 前7Range=34.00, 计算目标买入价=3138.80\n",
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"[2024-09-04 14:00:00] 策略 (SHFE_rb2501): [2024-09-04 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240904140000_11 @ 3138.80\n",
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"[2024-09-04 21:00:00] 策略 (SHFE_rb2501): [2024-09-04 21:00:00] 止盈信号 - PnL per unit: 11.00, 目标: 10.00\n",
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"[2024-09-04 22:00:00] 策略 (SHFE_rb2501): 3126.0 47.6 -64.8\n",
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"[2024-09-04 22:00:00] 策略 (SHFE_rb2501): [2024-09-04 22:00:00] 开多仓信号 - 当前Open=3126.00, 前1Range=28.00, 前7Range=36.00, 计算目标买入价=3143.20\n",
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"[2024-09-04 22:00:00] 策略 (SHFE_rb2501): [2024-09-04 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240904220000_13 @ 3143.20\n",
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"[2024-09-05 09:00:00] 策略 (SHFE_rb2501): [2024-09-05 09:00:00] 止损信号 - PnL per unit: -29.00, 目标: -10.00\n",
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"[2024-09-05 10:00:00] 策略 (SHFE_rb2501): 3097.0 52.699999999999996 -39.6\n",
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"[2024-09-05 10:00:00] 策略 (SHFE_rb2501): [2024-09-05 10:00:00] 开多仓信号 - 当前Open=3097.00, 前1Range=31.00, 前7Range=22.00, 计算目标买入价=3083.90\n",
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"[2024-09-05 10:00:00] 策略 (SHFE_rb2501): [2024-09-05 10:00:00] 策略: 发送订单失败。\n",
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"[2024-09-05 11:00:00] 策略 (SHFE_rb2501): 3115.0 54.4 -39.6\n",
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"[2024-09-05 11:00:00] 策略 (SHFE_rb2501): [2024-09-05 11:00:00] 开多仓信号 - 当前Open=3115.00, 前1Range=32.00, 前7Range=22.00, 计算目标买入价=3100.20\n",
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"[2024-09-05 11:00:00] 策略 (SHFE_rb2501): [2024-09-05 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240905110000_16 @ 3100.20\n",
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"[2024-09-05 14:00:00] 策略 (SHFE_rb2501): [2024-09-05 14:00:00] 止损信号 - PnL per unit: -17.20, 目标: -10.00\n",
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"[2024-09-05 21:00:00] 策略 (SHFE_rb2501): 3101.0 37.4 -34.2\n",
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"[2024-09-05 21:00:00] 策略 (SHFE_rb2501): [2024-09-05 21:00:00] 开多仓信号 - 当前Open=3101.00, 前1Range=22.00, 前7Range=19.00, 计算目标买入价=3097.80\n",
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"[2024-09-05 21:00:00] 策略 (SHFE_rb2501): [2024-09-05 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240905210000_18 @ 3097.80\n",
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"[2024-09-06 09:00:00] 策略 (SHFE_rb2501): [2024-09-06 09:00:00] 止损信号 - PnL per unit: -28.80, 目标: -10.00\n",
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"[2024-09-06 10:00:00] 策略 (SHFE_rb2501): 3069.0 71.39999999999999 -34.2\n",
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"[2024-09-06 10:00:00] 策略 (SHFE_rb2501): [2024-09-06 10:00:00] 开多仓信号 - 当前Open=3069.00, 前1Range=42.00, 前7Range=19.00, 计算目标买入价=3031.80\n",
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"[2024-09-06 10:00:00] 策略 (SHFE_rb2501): [2024-09-06 10:00:00] 策略: 发送订单失败。\n",
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"[2024-09-06 11:00:00] 策略 (SHFE_rb2501): 3040.0 61.199999999999996 -43.2\n",
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"[2024-09-06 11:00:00] 策略 (SHFE_rb2501): [2024-09-06 11:00:00] 开多仓信号 - 当前Open=3040.00, 前1Range=36.00, 前7Range=24.00, 计算目标买入价=3022.00\n",
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"[2024-09-06 11:00:00] 策略 (SHFE_rb2501): [2024-09-06 11:00:00] 策略: 发送订单失败。\n",
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"[2024-09-06 13:00:00] 策略 (SHFE_rb2501): 3022.0 30.599999999999998 -39.6\n",
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"[2024-09-06 13:00:00] 策略 (SHFE_rb2501): [2024-09-06 13:00:00] 开多仓信号 - 当前Open=3022.00, 前1Range=18.00, 前7Range=22.00, 计算目标买入价=3031.00\n",
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"[2024-09-06 13:00:00] 策略 (SHFE_rb2501): [2024-09-06 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240906130000_22 @ 3031.00\n",
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"[2024-09-06 14:00:00] 策略 (SHFE_rb2501): [2024-09-06 14:00:00] 止盈信号 - PnL per unit: 29.00, 目标: 10.00\n",
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"[2024-09-06 21:00:00] 策略 (SHFE_rb2501): 3060.0 61.199999999999996 -50.4\n",
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"[2024-09-06 21:00:00] 策略 (SHFE_rb2501): [2024-09-06 21:00:00] 开多仓信号 - 当前Open=3060.00, 前1Range=36.00, 前7Range=28.00, 计算目标买入价=3049.20\n",
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"[2024-09-06 21:00:00] 策略 (SHFE_rb2501): [2024-09-06 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240906210000_24 @ 3049.20\n",
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"[2024-09-06 22:00:00] 策略 (SHFE_rb2501): [2024-09-06 22:00:00] 止损信号 - PnL per unit: -38.20, 目标: -10.00\n",
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"[2024-09-09 09:00:00] 策略 (SHFE_rb2501): 3005.0 49.3 -64.8\n",
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"[2024-09-09 09:00:00] 策略 (SHFE_rb2501): [2024-09-09 09:00:00] 开多仓信号 - 当前Open=3005.00, 前1Range=29.00, 前7Range=36.00, 计算目标买入价=3020.50\n",
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"[2024-09-09 09:00:00] 策略 (SHFE_rb2501): [2024-09-09 09:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240909090000_26 @ 3020.50\n",
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"[2024-09-09 10:00:00] 策略 (SHFE_rb2501): [2024-09-09 10:00:00] 止盈信号 - PnL per unit: 24.00, 目标: 10.00\n",
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"[2024-09-09 11:00:00] 策略 (SHFE_rb2501): 3029.0 34.0 -59.4\n",
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"[2024-09-09 11:00:00] 策略 (SHFE_rb2501): [2024-09-09 11:00:00] 开多仓信号 - 当前Open=3029.00, 前1Range=20.00, 前7Range=33.00, 计算目标买入价=3054.40\n",
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"[2024-09-09 11:00:00] 策略 (SHFE_rb2501): [2024-09-09 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240909110000_28 @ 3054.40\n",
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"[2024-09-09 13:00:00] 策略 (SHFE_rb2501): [2024-09-09 13:00:00] 止盈信号 - PnL per unit: 13.00, 目标: 10.00\n",
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"[2024-09-09 14:00:00] 策略 (SHFE_rb2501): 3042.0 37.4 -84.60000000000001\n",
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"[2024-09-09 14:00:00] 策略 (SHFE_rb2501): [2024-09-09 14:00:00] 开多仓信号 - 当前Open=3042.00, 前1Range=22.00, 前7Range=47.00, 计算目标买入价=3089.20\n",
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"[2024-09-09 14:00:00] 策略 (SHFE_rb2501): [2024-09-09 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240909140000_30 @ 3089.20\n",
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"[2024-09-09 21:00:00] 策略 (SHFE_rb2501): [2024-09-09 21:00:00] 止盈信号 - PnL per unit: 44.00, 目标: 10.00\n",
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"[2024-09-09 22:00:00] 策略 (SHFE_rb2501): 3086.0 37.4 -77.4\n",
|
||
"[2024-09-09 22:00:00] 策略 (SHFE_rb2501): [2024-09-09 22:00:00] 开多仓信号 - 当前Open=3086.00, 前1Range=22.00, 前7Range=43.00, 计算目标买入价=3126.00\n",
|
||
"[2024-09-09 22:00:00] 策略 (SHFE_rb2501): [2024-09-09 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240909220000_32 @ 3126.00\n",
|
||
"[2024-09-10 21:00:00] 策略 (SHFE_rb2501): [2024-09-10 21:00:00] 止损信号 - PnL per unit: -41.00, 目标: -10.00\n",
|
||
"[2024-09-10 22:00:00] 策略 (SHFE_rb2501): 3045.0 76.5 -36.0\n",
|
||
"[2024-09-10 22:00:00] 策略 (SHFE_rb2501): [2024-09-10 22:00:00] 开多仓信号 - 当前Open=3045.00, 前1Range=45.00, 前7Range=20.00, 计算目标买入价=3004.50\n",
|
||
"[2024-09-10 22:00:00] 策略 (SHFE_rb2501): [2024-09-10 22:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-11 09:00:00] 策略 (SHFE_rb2501): 3081.0 93.5 -50.4\n",
|
||
"[2024-09-11 09:00:00] 策略 (SHFE_rb2501): [2024-09-11 09:00:00] 开多仓信号 - 当前Open=3081.00, 前1Range=55.00, 前7Range=28.00, 计算目标买入价=3037.90\n",
|
||
"[2024-09-11 09:00:00] 策略 (SHFE_rb2501): [2024-09-11 09:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-11 10:00:00] 策略 (SHFE_rb2501): 3101.0 51.0 -37.800000000000004\n",
|
||
"[2024-09-11 10:00:00] 策略 (SHFE_rb2501): [2024-09-11 10:00:00] 开多仓信号 - 当前Open=3101.00, 前1Range=30.00, 前7Range=21.00, 计算目标买入价=3087.80\n",
|
||
"[2024-09-11 10:00:00] 策略 (SHFE_rb2501): [2024-09-11 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-11 11:00:00] 策略 (SHFE_rb2501): 3094.0 37.4 -28.8\n",
|
||
"[2024-09-11 11:00:00] 策略 (SHFE_rb2501): [2024-09-11 11:00:00] 开多仓信号 - 当前Open=3094.00, 前1Range=22.00, 前7Range=16.00, 计算目标买入价=3085.40\n",
|
||
"[2024-09-11 11:00:00] 策略 (SHFE_rb2501): [2024-09-11 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-11 13:00:00] 策略 (SHFE_rb2501): 3112.0 34.0 -66.60000000000001\n",
|
||
"[2024-09-11 13:00:00] 策略 (SHFE_rb2501): [2024-09-11 13:00:00] 开多仓信号 - 当前Open=3112.00, 前1Range=20.00, 前7Range=37.00, 计算目标买入价=3144.60\n",
|
||
"[2024-09-11 13:00:00] 策略 (SHFE_rb2501): [2024-09-11 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240911130000_38 @ 3144.60\n",
|
||
"[2024-09-11 14:00:00] 策略 (SHFE_rb2501): [2024-09-11 14:00:00] 止盈信号 - PnL per unit: 25.00, 目标: 10.00\n",
|
||
"[2024-09-11 21:00:00] 策略 (SHFE_rb2501): 3139.0 47.6 -99.0\n",
|
||
"[2024-09-11 21:00:00] 策略 (SHFE_rb2501): [2024-09-11 21:00:00] 开多仓信号 - 当前Open=3139.00, 前1Range=28.00, 前7Range=55.00, 计算目标买入价=3190.40\n",
|
||
"[2024-09-11 21:00:00] 策略 (SHFE_rb2501): [2024-09-11 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240911210000_40 @ 3190.40\n",
|
||
"[2024-09-12 09:00:00] 策略 (SHFE_rb2501): [2024-09-12 09:00:00] 止盈信号 - PnL per unit: 13.00, 目标: 10.00\n",
|
||
"[2024-09-12 10:00:00] 策略 (SHFE_rb2501): 3152.0 56.1 -36.0\n",
|
||
"[2024-09-12 10:00:00] 策略 (SHFE_rb2501): [2024-09-12 10:00:00] 开多仓信号 - 当前Open=3152.00, 前1Range=33.00, 前7Range=20.00, 计算目标买入价=3131.90\n",
|
||
"[2024-09-12 10:00:00] 策略 (SHFE_rb2501): [2024-09-12 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-12 11:00:00] 策略 (SHFE_rb2501): 3150.0 34.0 -36.0\n",
|
||
"[2024-09-12 11:00:00] 策略 (SHFE_rb2501): [2024-09-12 11:00:00] 开多仓信号 - 当前Open=3150.00, 前1Range=20.00, 前7Range=20.00, 计算目标买入价=3152.00\n",
|
||
"[2024-09-12 11:00:00] 策略 (SHFE_rb2501): [2024-09-12 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240912110000_43 @ 3152.00\n",
|
||
"[2024-09-12 13:00:00] 策略 (SHFE_rb2501): [2024-09-12 13:00:00] 止盈信号 - PnL per unit: 40.00, 目标: 10.00\n",
|
||
"[2024-09-12 14:00:00] 策略 (SHFE_rb2501): 3190.0 30.599999999999998 -39.6\n",
|
||
"[2024-09-12 14:00:00] 策略 (SHFE_rb2501): [2024-09-12 14:00:00] 开多仓信号 - 当前Open=3190.00, 前1Range=18.00, 前7Range=22.00, 计算目标买入价=3199.00\n",
|
||
"[2024-09-12 14:00:00] 策略 (SHFE_rb2501): [2024-09-12 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240912140000_45 @ 3199.00\n",
|
||
"[2024-09-13 09:00:00] 策略 (SHFE_rb2501): [2024-09-13 09:00:00] 止盈信号 - PnL per unit: 22.00, 目标: 10.00\n",
|
||
"[2024-09-13 10:00:00] 策略 (SHFE_rb2501): 3212.0 42.5 -57.6\n",
|
||
"[2024-09-13 10:00:00] 策略 (SHFE_rb2501): [2024-09-13 10:00:00] 开多仓信号 - 当前Open=3212.00, 前1Range=25.00, 前7Range=32.00, 计算目标买入价=3227.10\n",
|
||
"[2024-09-13 10:00:00] 策略 (SHFE_rb2501): [2024-09-13 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240913100000_47 @ 3227.10\n",
|
||
"[2024-09-13 11:00:00] 策略 (SHFE_rb2501): [2024-09-13 11:00:00] 止损信号 - PnL per unit: -19.00, 目标: -10.00\n",
|
||
"[2024-09-13 13:00:00] 策略 (SHFE_rb2501): 3193.0 40.8 -27.0\n",
|
||
"[2024-09-13 13:00:00] 策略 (SHFE_rb2501): [2024-09-13 13:00:00] 开多仓信号 - 当前Open=3193.00, 前1Range=24.00, 前7Range=15.00, 计算目标买入价=3179.20\n",
|
||
"[2024-09-13 13:00:00] 策略 (SHFE_rb2501): [2024-09-13 13:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-13 14:00:00] 策略 (SHFE_rb2501): 3190.0 20.4 -50.4\n",
|
||
"[2024-09-13 14:00:00] 策略 (SHFE_rb2501): [2024-09-13 14:00:00] 开多仓信号 - 当前Open=3190.00, 前1Range=12.00, 前7Range=28.00, 计算目标买入价=3220.00\n",
|
||
"[2024-09-13 14:00:00] 策略 (SHFE_rb2501): [2024-09-13 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240913140000_50 @ 3220.00\n",
|
||
"[2024-09-18 09:00:00] 策略 (SHFE_rb2501): [2024-09-18 09:00:00] 止损信号 - PnL per unit: -13.00, 目标: -10.00\n",
|
||
"[2024-09-18 10:00:00] 策略 (SHFE_rb2501): 3177.0 120.7 -45.0\n",
|
||
"[2024-09-18 10:00:00] 策略 (SHFE_rb2501): [2024-09-18 10:00:00] 开多仓信号 - 当前Open=3177.00, 前1Range=71.00, 前7Range=25.00, 计算目标买入价=3101.30\n",
|
||
"[2024-09-18 10:00:00] 策略 (SHFE_rb2501): [2024-09-18 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-18 11:00:00] 策略 (SHFE_rb2501): 3172.0 20.4 -25.2\n",
|
||
"[2024-09-18 11:00:00] 策略 (SHFE_rb2501): [2024-09-18 11:00:00] 开多仓信号 - 当前Open=3172.00, 前1Range=12.00, 前7Range=14.00, 计算目标买入价=3176.80\n",
|
||
"[2024-09-18 11:00:00] 策略 (SHFE_rb2501): [2024-09-18 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240918110000_53 @ 3176.80\n",
|
||
"[2024-09-18 13:00:00] 策略 (SHFE_rb2501): [2024-09-18 13:00:00] 止损信号 - PnL per unit: -21.00, 目标: -10.00\n",
|
||
"[2024-09-18 14:00:00] 策略 (SHFE_rb2501): 3151.0 62.9 -21.6\n",
|
||
"[2024-09-18 14:00:00] 策略 (SHFE_rb2501): [2024-09-18 14:00:00] 开多仓信号 - 当前Open=3151.00, 前1Range=37.00, 前7Range=12.00, 计算目标买入价=3109.70\n",
|
||
"[2024-09-18 14:00:00] 策略 (SHFE_rb2501): [2024-09-18 14:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-18 21:00:00] 策略 (SHFE_rb2501): 3157.0 52.699999999999996 -45.0\n",
|
||
"[2024-09-18 21:00:00] 策略 (SHFE_rb2501): [2024-09-18 21:00:00] 开多仓信号 - 当前Open=3157.00, 前1Range=31.00, 前7Range=25.00, 计算目标买入价=3149.30\n",
|
||
"[2024-09-18 21:00:00] 策略 (SHFE_rb2501): [2024-09-18 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240918210000_56 @ 3149.30\n",
|
||
"[2024-09-18 22:00:00] 策略 (SHFE_rb2501): [2024-09-18 22:00:00] 止盈信号 - PnL per unit: 19.70, 目标: 10.00\n",
|
||
"[2024-09-19 09:00:00] 策略 (SHFE_rb2501): 3173.0 47.6 -21.6\n",
|
||
"[2024-09-19 09:00:00] 策略 (SHFE_rb2501): [2024-09-19 09:00:00] 开多仓信号 - 当前Open=3173.00, 前1Range=28.00, 前7Range=12.00, 计算目标买入价=3147.00\n",
|
||
"[2024-09-19 09:00:00] 策略 (SHFE_rb2501): [2024-09-19 09:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240919090000_58 @ 3147.00\n",
|
||
"[2024-09-19 10:00:00] 策略 (SHFE_rb2501): [2024-09-19 10:00:00] 止盈信号 - PnL per unit: 45.00, 目标: 10.00\n",
|
||
"[2024-09-19 11:00:00] 策略 (SHFE_rb2501): 3192.0 91.8 -66.60000000000001\n",
|
||
"[2024-09-19 11:00:00] 策略 (SHFE_rb2501): [2024-09-19 11:00:00] 开多仓信号 - 当前Open=3192.00, 前1Range=54.00, 前7Range=37.00, 计算目标买入价=3166.80\n",
|
||
"[2024-09-19 11:00:00] 策略 (SHFE_rb2501): [2024-09-19 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-19 13:00:00] 策略 (SHFE_rb2501): 3200.0 42.5 -55.800000000000004\n",
|
||
"[2024-09-19 13:00:00] 策略 (SHFE_rb2501): [2024-09-19 13:00:00] 开多仓信号 - 当前Open=3200.00, 前1Range=25.00, 前7Range=31.00, 计算目标买入价=3213.30\n",
|
||
"[2024-09-19 13:00:00] 策略 (SHFE_rb2501): [2024-09-19 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240919130000_61 @ 3213.30\n",
|
||
"[2024-09-19 21:00:00] 策略 (SHFE_rb2501): [2024-09-19 21:00:00] 止盈信号 - PnL per unit: 20.00, 目标: 10.00\n",
|
||
"[2024-09-19 22:00:00] 策略 (SHFE_rb2501): 3220.0 54.4 -120.60000000000001\n",
|
||
"[2024-09-19 22:00:00] 策略 (SHFE_rb2501): [2024-09-19 22:00:00] 开多仓信号 - 当前Open=3220.00, 前1Range=32.00, 前7Range=67.00, 计算目标买入价=3286.20\n",
|
||
"[2024-09-19 22:00:00] 策略 (SHFE_rb2501): [2024-09-19 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240919220000_63 @ 3286.20\n",
|
||
"[2024-09-20 09:00:00] 策略 (SHFE_rb2501): [2024-09-20 09:00:00] 止损信号 - PnL per unit: -29.00, 目标: -10.00\n",
|
||
"[2024-09-20 10:00:00] 策略 (SHFE_rb2501): 3191.0 85.0 -45.0\n",
|
||
"[2024-09-20 10:00:00] 策略 (SHFE_rb2501): [2024-09-20 10:00:00] 开多仓信号 - 当前Open=3191.00, 前1Range=50.00, 前7Range=25.00, 计算目标买入价=3151.00\n",
|
||
"[2024-09-20 10:00:00] 策略 (SHFE_rb2501): [2024-09-20 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-20 11:00:00] 策略 (SHFE_rb2501): 3190.0 49.3 -27.0\n",
|
||
"[2024-09-20 11:00:00] 策略 (SHFE_rb2501): [2024-09-20 11:00:00] 开多仓信号 - 当前Open=3190.00, 前1Range=29.00, 前7Range=15.00, 计算目标买入价=3167.70\n",
|
||
"[2024-09-20 11:00:00] 策略 (SHFE_rb2501): [2024-09-20 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-20 13:00:00] 策略 (SHFE_rb2501): 3181.0 25.5 -34.2\n",
|
||
"[2024-09-20 13:00:00] 策略 (SHFE_rb2501): [2024-09-20 13:00:00] 开多仓信号 - 当前Open=3181.00, 前1Range=15.00, 前7Range=19.00, 计算目标买入价=3189.70\n",
|
||
"[2024-09-20 13:00:00] 策略 (SHFE_rb2501): [2024-09-20 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240920130000_67 @ 3189.70\n",
|
||
"[2024-09-20 14:00:00] 策略 (SHFE_rb2501): [2024-09-20 14:00:00] 止损信号 - PnL per unit: -16.00, 目标: -10.00\n",
|
||
"[2024-09-20 21:00:00] 策略 (SHFE_rb2501): 3163.0 59.5 -27.0\n",
|
||
"[2024-09-20 21:00:00] 策略 (SHFE_rb2501): [2024-09-20 21:00:00] 开多仓信号 - 当前Open=3163.00, 前1Range=35.00, 前7Range=15.00, 计算目标买入价=3130.50\n",
|
||
"[2024-09-20 21:00:00] 策略 (SHFE_rb2501): [2024-09-20 21:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-20 22:00:00] 策略 (SHFE_rb2501): 3150.0 40.8 -90.0\n",
|
||
"[2024-09-20 22:00:00] 策略 (SHFE_rb2501): [2024-09-20 22:00:00] 开多仓信号 - 当前Open=3150.00, 前1Range=24.00, 前7Range=50.00, 计算目标买入价=3199.20\n",
|
||
"[2024-09-20 22:00:00] 策略 (SHFE_rb2501): [2024-09-20 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240920220000_70 @ 3199.20\n",
|
||
"[2024-09-23 09:00:00] 策略 (SHFE_rb2501): [2024-09-23 09:00:00] 止损信号 - PnL per unit: -36.00, 目标: -10.00\n",
|
||
"[2024-09-23 10:00:00] 策略 (SHFE_rb2501): 3114.0 73.1 -27.0\n",
|
||
"[2024-09-23 10:00:00] 策略 (SHFE_rb2501): [2024-09-23 10:00:00] 开多仓信号 - 当前Open=3114.00, 前1Range=43.00, 前7Range=15.00, 计算目标买入价=3067.90\n",
|
||
"[2024-09-23 10:00:00] 策略 (SHFE_rb2501): [2024-09-23 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-23 11:00:00] 策略 (SHFE_rb2501): 3106.0 39.1 -36.0\n",
|
||
"[2024-09-23 11:00:00] 策略 (SHFE_rb2501): [2024-09-23 11:00:00] 开多仓信号 - 当前Open=3106.00, 前1Range=23.00, 前7Range=20.00, 计算目标买入价=3102.90\n",
|
||
"[2024-09-23 11:00:00] 策略 (SHFE_rb2501): [2024-09-23 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240923110000_73 @ 3102.90\n",
|
||
"[2024-09-23 14:00:00] 策略 (SHFE_rb2501): [2024-09-23 14:00:00] 止损信号 - PnL per unit: -15.90, 目标: -10.00\n",
|
||
"[2024-09-23 21:00:00] 策略 (SHFE_rb2501): 3090.0 39.1 -86.4\n",
|
||
"[2024-09-23 21:00:00] 策略 (SHFE_rb2501): [2024-09-23 21:00:00] 开多仓信号 - 当前Open=3090.00, 前1Range=23.00, 前7Range=48.00, 计算目标买入价=3137.30\n",
|
||
"[2024-09-23 21:00:00] 策略 (SHFE_rb2501): [2024-09-23 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240923210000_75 @ 3137.30\n",
|
||
"[2024-09-24 09:00:00] 策略 (SHFE_rb2501): [2024-09-24 09:00:00] 止盈信号 - PnL per unit: 46.00, 目标: 10.00\n",
|
||
"[2024-09-24 10:00:00] 策略 (SHFE_rb2501): 3136.0 130.9 -21.6\n",
|
||
"[2024-09-24 10:00:00] 策略 (SHFE_rb2501): [2024-09-24 10:00:00] 开多仓信号 - 当前Open=3136.00, 前1Range=77.00, 前7Range=12.00, 计算目标买入价=3026.70\n",
|
||
"[2024-09-24 10:00:00] 策略 (SHFE_rb2501): [2024-09-24 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-24 11:00:00] 策略 (SHFE_rb2501): 3155.0 57.8 -45.0\n",
|
||
"[2024-09-24 11:00:00] 策略 (SHFE_rb2501): [2024-09-24 11:00:00] 开多仓信号 - 当前Open=3155.00, 前1Range=34.00, 前7Range=25.00, 计算目标买入价=3142.20\n",
|
||
"[2024-09-24 11:00:00] 策略 (SHFE_rb2501): [2024-09-24 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-24 13:00:00] 策略 (SHFE_rb2501): 3183.0 37.4 -41.4\n",
|
||
"[2024-09-24 13:00:00] 策略 (SHFE_rb2501): [2024-09-24 13:00:00] 开多仓信号 - 当前Open=3183.00, 前1Range=22.00, 前7Range=23.00, 计算目标买入价=3187.00\n",
|
||
"[2024-09-24 13:00:00] 策略 (SHFE_rb2501): [2024-09-24 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240924130000_79 @ 3187.00\n",
|
||
"[2024-09-24 14:00:00] 策略 (SHFE_rb2501): [2024-09-24 14:00:00] 止盈信号 - PnL per unit: 34.00, 目标: 10.00\n",
|
||
"[2024-09-24 21:00:00] 策略 (SHFE_rb2501): 3220.0 69.7 -50.4\n",
|
||
"[2024-09-24 21:00:00] 策略 (SHFE_rb2501): [2024-09-24 21:00:00] 开多仓信号 - 当前Open=3220.00, 前1Range=41.00, 前7Range=28.00, 计算目标买入价=3200.70\n",
|
||
"[2024-09-24 21:00:00] 策略 (SHFE_rb2501): [2024-09-24 21:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-24 22:00:00] 策略 (SHFE_rb2501): 3246.0 61.199999999999996 -138.6\n",
|
||
"[2024-09-24 22:00:00] 策略 (SHFE_rb2501): [2024-09-24 22:00:00] 开多仓信号 - 当前Open=3246.00, 前1Range=36.00, 前7Range=77.00, 计算目标买入价=3323.40\n",
|
||
"[2024-09-24 22:00:00] 策略 (SHFE_rb2501): [2024-09-24 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240924220000_82 @ 3323.40\n",
|
||
"[2024-09-25 09:00:00] 策略 (SHFE_rb2501): [2024-09-25 09:00:00] 止盈信号 - PnL per unit: 20.00, 目标: 10.00\n",
|
||
"[2024-09-25 10:00:00] 策略 (SHFE_rb2501): 3266.0 56.1 -39.6\n",
|
||
"[2024-09-25 10:00:00] 策略 (SHFE_rb2501): [2024-09-25 10:00:00] 开多仓信号 - 当前Open=3266.00, 前1Range=33.00, 前7Range=22.00, 计算目标买入价=3249.50\n",
|
||
"[2024-09-25 10:00:00] 策略 (SHFE_rb2501): [2024-09-25 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-25 11:00:00] 策略 (SHFE_rb2501): 3267.0 28.9 -28.8\n",
|
||
"[2024-09-25 11:00:00] 策略 (SHFE_rb2501): [2024-09-25 11:00:00] 开多仓信号 - 当前Open=3267.00, 前1Range=17.00, 前7Range=16.00, 计算目标买入价=3266.90\n",
|
||
"[2024-09-25 11:00:00] 策略 (SHFE_rb2501): [2024-09-25 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240925110000_85 @ 3266.90\n",
|
||
"[2024-09-25 13:00:00] 策略 (SHFE_rb2501): [2024-09-25 13:00:00] 止损信号 - PnL per unit: -35.90, 目标: -10.00\n",
|
||
"[2024-09-25 14:00:00] 策略 (SHFE_rb2501): 3231.0 61.199999999999996 -64.8\n",
|
||
"[2024-09-25 14:00:00] 策略 (SHFE_rb2501): [2024-09-25 14:00:00] 开多仓信号 - 当前Open=3231.00, 前1Range=36.00, 前7Range=36.00, 计算目标买入价=3234.60\n",
|
||
"[2024-09-25 14:00:00] 策略 (SHFE_rb2501): [2024-09-25 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240925140000_87 @ 3234.60\n",
|
||
"[2024-09-25 21:00:00] 策略 (SHFE_rb2501): [2024-09-25 21:00:00] 止盈信号 - PnL per unit: 19.00, 目标: 10.00\n",
|
||
"[2024-09-25 22:00:00] 策略 (SHFE_rb2501): 3250.0 71.39999999999999 -59.4\n",
|
||
"[2024-09-25 22:00:00] 策略 (SHFE_rb2501): [2024-09-25 22:00:00] 开多仓信号 - 当前Open=3250.00, 前1Range=42.00, 前7Range=33.00, 计算目标买入价=3238.00\n",
|
||
"[2024-09-25 22:00:00] 策略 (SHFE_rb2501): [2024-09-25 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240925220000_89 @ 3238.00\n",
|
||
"[2024-09-26 09:00:00] 策略 (SHFE_rb2501): [2024-09-26 09:00:00] 止盈信号 - PnL per unit: 17.00, 目标: 10.00\n",
|
||
"[2024-09-26 10:00:00] 策略 (SHFE_rb2501): 3255.0 30.599999999999998 -27.0\n",
|
||
"[2024-09-26 10:00:00] 策略 (SHFE_rb2501): [2024-09-26 10:00:00] 开多仓信号 - 当前Open=3255.00, 前1Range=18.00, 前7Range=15.00, 计算目标买入价=3251.40\n",
|
||
"[2024-09-26 10:00:00] 策略 (SHFE_rb2501): [2024-09-26 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240926100000_91 @ 3251.40\n",
|
||
"[2024-09-26 13:00:00] 策略 (SHFE_rb2501): [2024-09-26 13:00:00] 止盈信号 - PnL per unit: 25.60, 目标: 10.00\n",
|
||
"[2024-09-26 14:00:00] 策略 (SHFE_rb2501): 3277.0 51.0 -75.60000000000001\n",
|
||
"[2024-09-26 14:00:00] 策略 (SHFE_rb2501): [2024-09-26 14:00:00] 开多仓信号 - 当前Open=3277.00, 前1Range=30.00, 前7Range=42.00, 计算目标买入价=3301.60\n",
|
||
"[2024-09-26 14:00:00] 策略 (SHFE_rb2501): [2024-09-26 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240926140000_93 @ 3301.60\n",
|
||
"[2024-09-26 21:00:00] 策略 (SHFE_rb2501): [2024-09-26 21:00:00] 止盈信号 - PnL per unit: 30.00, 目标: 10.00\n",
|
||
"[2024-09-26 22:00:00] 策略 (SHFE_rb2501): 3307.0 47.6 -32.4\n",
|
||
"[2024-09-26 22:00:00] 策略 (SHFE_rb2501): [2024-09-26 22:00:00] 开多仓信号 - 当前Open=3307.00, 前1Range=28.00, 前7Range=18.00, 计算目标买入价=3291.80\n",
|
||
"[2024-09-26 22:00:00] 策略 (SHFE_rb2501): [2024-09-26 22:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-27 09:00:00] 策略 (SHFE_rb2501): 3317.0 23.8 -41.4\n",
|
||
"[2024-09-27 09:00:00] 策略 (SHFE_rb2501): [2024-09-27 09:00:00] 开多仓信号 - 当前Open=3317.00, 前1Range=14.00, 前7Range=23.00, 计算目标买入价=3334.60\n",
|
||
"[2024-09-27 09:00:00] 策略 (SHFE_rb2501): [2024-09-27 09:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240927090000_96 @ 3334.60\n",
|
||
"[2024-09-27 10:00:00] 策略 (SHFE_rb2501): [2024-09-27 10:00:00] 止盈信号 - PnL per unit: 11.00, 目标: 10.00\n",
|
||
"[2024-09-27 11:00:00] 策略 (SHFE_rb2501): 3328.0 34.0 -54.0\n",
|
||
"[2024-09-27 11:00:00] 策略 (SHFE_rb2501): [2024-09-27 11:00:00] 开多仓信号 - 当前Open=3328.00, 前1Range=20.00, 前7Range=30.00, 计算目标买入价=3348.00\n",
|
||
"[2024-09-27 11:00:00] 策略 (SHFE_rb2501): [2024-09-27 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240927110000_98 @ 3348.00\n",
|
||
"[2024-09-27 13:00:00] 策略 (SHFE_rb2501): [2024-09-27 13:00:00] 止损信号 - PnL per unit: -14.00, 目标: -10.00\n",
|
||
"[2024-09-27 14:00:00] 策略 (SHFE_rb2501): 3314.0 73.1 -50.4\n",
|
||
"[2024-09-27 14:00:00] 策略 (SHFE_rb2501): [2024-09-27 14:00:00] 开多仓信号 - 当前Open=3314.00, 前1Range=43.00, 前7Range=28.00, 计算目标买入价=3291.30\n",
|
||
"[2024-09-27 14:00:00] 策略 (SHFE_rb2501): [2024-09-27 14:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-27 21:00:00] 策略 (SHFE_rb2501): 3341.0 51.0 -25.2\n",
|
||
"[2024-09-27 21:00:00] 策略 (SHFE_rb2501): [2024-09-27 21:00:00] 开多仓信号 - 当前Open=3341.00, 前1Range=30.00, 前7Range=14.00, 计算目标买入价=3315.20\n",
|
||
"[2024-09-27 21:00:00] 策略 (SHFE_rb2501): [2024-09-27 21:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-27 22:00:00] 策略 (SHFE_rb2501): 3373.0 90.1 -43.2\n",
|
||
"[2024-09-27 22:00:00] 策略 (SHFE_rb2501): [2024-09-27 22:00:00] 开多仓信号 - 当前Open=3373.00, 前1Range=53.00, 前7Range=24.00, 计算目标买入价=3326.10\n",
|
||
"[2024-09-27 22:00:00] 策略 (SHFE_rb2501): [2024-09-27 22:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-09-30 09:00:00] 策略 (SHFE_rb2501): 3551.0 69.7 -36.0\n",
|
||
"[2024-09-30 09:00:00] 策略 (SHFE_rb2501): [2024-09-30 09:00:00] 开多仓信号 - 当前Open=3551.00, 前1Range=41.00, 前7Range=20.00, 计算目标买入价=3517.30\n",
|
||
"[2024-09-30 09:00:00] 策略 (SHFE_rb2501): [2024-09-30 09:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240930090000_103 @ 3517.30\n",
|
||
"[2024-09-30 10:00:00] 策略 (SHFE_rb2501): [2024-09-30 10:00:00] 止盈信号 - PnL per unit: 28.70, 目标: 10.00\n",
|
||
"[2024-09-30 11:00:00] 策略 (SHFE_rb2501): 3546.0 35.699999999999996 -77.4\n",
|
||
"[2024-09-30 11:00:00] 策略 (SHFE_rb2501): [2024-09-30 11:00:00] 开多仓信号 - 当前Open=3546.00, 前1Range=21.00, 前7Range=43.00, 计算目标买入价=3587.70\n",
|
||
"[2024-09-30 11:00:00] 策略 (SHFE_rb2501): [2024-09-30 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20240930110000_105 @ 3587.70\n",
|
||
"[2024-10-08 09:00:00] 策略 (SHFE_rb2501): [2024-10-08 09:00:00] 止盈信号 - PnL per unit: 96.00, 目标: 10.00\n",
|
||
"[2024-10-08 10:00:00] 策略 (SHFE_rb2501): 3642.0 299.2 -66.60000000000001\n",
|
||
"[2024-10-08 10:00:00] 策略 (SHFE_rb2501): [2024-10-08 10:00:00] 开多仓信号 - 当前Open=3642.00, 前1Range=176.00, 前7Range=37.00, 计算目标买入价=3409.40\n",
|
||
"[2024-10-08 10:00:00] 策略 (SHFE_rb2501): [2024-10-08 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-08 11:00:00] 策略 (SHFE_rb2501): 3541.0 221.0 -37.800000000000004\n",
|
||
"[2024-10-08 11:00:00] 策略 (SHFE_rb2501): [2024-10-08 11:00:00] 开多仓信号 - 当前Open=3541.00, 前1Range=130.00, 前7Range=21.00, 计算目标买入价=3357.80\n",
|
||
"[2024-10-08 11:00:00] 策略 (SHFE_rb2501): [2024-10-08 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-08 13:00:00] 策略 (SHFE_rb2501): 3522.0 86.7 -10.8\n",
|
||
"[2024-10-08 13:00:00] 策略 (SHFE_rb2501): [2024-10-08 13:00:00] 开多仓信号 - 当前Open=3522.00, 前1Range=51.00, 前7Range=6.00, 计算目标买入价=3446.10\n",
|
||
"[2024-10-08 13:00:00] 策略 (SHFE_rb2501): [2024-10-08 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241008130000_109 @ 3446.10\n",
|
||
"[2024-10-08 14:00:00] 策略 (SHFE_rb2501): [2024-10-08 14:00:00] 止盈信号 - PnL per unit: 39.90, 目标: 10.00\n",
|
||
"[2024-10-08 21:00:00] 策略 (SHFE_rb2501): 3500.0 88.39999999999999 -0.0\n",
|
||
"[2024-10-08 21:00:00] 策略 (SHFE_rb2501): [2024-10-08 21:00:00] 开多仓信号 - 当前Open=3500.00, 前1Range=52.00, 前7Range=0.00, 计算目标买入价=3411.60\n",
|
||
"[2024-10-08 21:00:00] 策略 (SHFE_rb2501): [2024-10-08 21:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-08 22:00:00] 策略 (SHFE_rb2501): 3498.0 68.0 -316.8\n",
|
||
"[2024-10-08 22:00:00] 策略 (SHFE_rb2501): [2024-10-08 22:00:00] 开多仓信号 - 当前Open=3498.00, 前1Range=40.00, 前7Range=176.00, 计算目标买入价=3746.80\n",
|
||
"[2024-10-08 22:00:00] 策略 (SHFE_rb2501): [2024-10-08 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241008220000_112 @ 3746.80\n",
|
||
"[2024-10-09 13:00:00] 策略 (SHFE_rb2501): [2024-10-09 13:00:00] 止盈信号 - PnL per unit: 23.00, 目标: 10.00\n",
|
||
"[2024-10-09 14:00:00] 策略 (SHFE_rb2501): 3521.0 57.8 -72.0\n",
|
||
"[2024-10-09 14:00:00] 策略 (SHFE_rb2501): [2024-10-09 14:00:00] 开多仓信号 - 当前Open=3521.00, 前1Range=34.00, 前7Range=40.00, 计算目标买入价=3535.20\n",
|
||
"[2024-10-09 14:00:00] 策略 (SHFE_rb2501): [2024-10-09 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241009140000_114 @ 3535.20\n",
|
||
"[2024-10-09 21:00:00] 策略 (SHFE_rb2501): [2024-10-09 21:00:00] 止损信号 - PnL per unit: -77.00, 目标: -10.00\n",
|
||
"[2024-10-09 22:00:00] 策略 (SHFE_rb2501): 3444.0 79.89999999999999 -77.4\n",
|
||
"[2024-10-09 22:00:00] 策略 (SHFE_rb2501): [2024-10-09 22:00:00] 开多仓信号 - 当前Open=3444.00, 前1Range=47.00, 前7Range=43.00, 计算目标买入价=3441.50\n",
|
||
"[2024-10-09 22:00:00] 策略 (SHFE_rb2501): [2024-10-09 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241009220000_116 @ 3441.50\n",
|
||
"[2024-10-10 09:00:00] 策略 (SHFE_rb2501): [2024-10-10 09:00:00] 止盈信号 - PnL per unit: 23.50, 目标: 10.00\n",
|
||
"[2024-10-10 10:00:00] 策略 (SHFE_rb2501): 3465.0 49.3 -70.2\n",
|
||
"[2024-10-10 10:00:00] 策略 (SHFE_rb2501): [2024-10-10 10:00:00] 开多仓信号 - 当前Open=3465.00, 前1Range=29.00, 前7Range=39.00, 计算目标买入价=3485.90\n",
|
||
"[2024-10-10 10:00:00] 策略 (SHFE_rb2501): [2024-10-10 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241010100000_118 @ 3485.90\n",
|
||
"[2024-10-10 11:00:00] 策略 (SHFE_rb2501): [2024-10-10 11:00:00] 止盈信号 - PnL per unit: 40.00, 目标: 10.00\n",
|
||
"[2024-10-10 13:00:00] 策略 (SHFE_rb2501): 3500.0 49.3 -140.4\n",
|
||
"[2024-10-10 13:00:00] 策略 (SHFE_rb2501): [2024-10-10 13:00:00] 开多仓信号 - 当前Open=3500.00, 前1Range=29.00, 前7Range=78.00, 计算目标买入价=3591.10\n",
|
||
"[2024-10-10 13:00:00] 策略 (SHFE_rb2501): [2024-10-10 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241010130000_120 @ 3591.10\n",
|
||
"[2024-10-10 14:00:00] 策略 (SHFE_rb2501): [2024-10-10 14:00:00] 止损信号 - PnL per unit: -58.00, 目标: -10.00\n",
|
||
"[2024-10-10 21:00:00] 策略 (SHFE_rb2501): 3442.0 91.8 -73.8\n",
|
||
"[2024-10-10 21:00:00] 策略 (SHFE_rb2501): [2024-10-10 21:00:00] 开多仓信号 - 当前Open=3442.00, 前1Range=54.00, 前7Range=41.00, 计算目标买入价=3424.00\n",
|
||
"[2024-10-10 21:00:00] 策略 (SHFE_rb2501): [2024-10-10 21:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-10 22:00:00] 策略 (SHFE_rb2501): 3471.0 64.6 -52.2\n",
|
||
"[2024-10-10 22:00:00] 策略 (SHFE_rb2501): [2024-10-10 22:00:00] 开多仓信号 - 当前Open=3471.00, 前1Range=38.00, 前7Range=29.00, 计算目标买入价=3458.60\n",
|
||
"[2024-10-10 22:00:00] 策略 (SHFE_rb2501): [2024-10-10 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241010220000_123 @ 3458.60\n",
|
||
"[2024-10-11 09:00:00] 策略 (SHFE_rb2501): [2024-10-11 09:00:00] 止盈信号 - PnL per unit: 10.40, 目标: 10.00\n",
|
||
"[2024-10-11 10:00:00] 策略 (SHFE_rb2501): 3469.0 64.6 -52.2\n",
|
||
"[2024-10-11 10:00:00] 策略 (SHFE_rb2501): [2024-10-11 10:00:00] 开多仓信号 - 当前Open=3469.00, 前1Range=38.00, 前7Range=29.00, 计算目标买入价=3456.60\n",
|
||
"[2024-10-11 10:00:00] 策略 (SHFE_rb2501): [2024-10-11 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241011100000_125 @ 3456.60\n",
|
||
"[2024-10-11 13:00:00] 策略 (SHFE_rb2501): [2024-10-11 13:00:00] 止损信号 - PnL per unit: -19.60, 目标: -10.00\n",
|
||
"[2024-10-11 14:00:00] 策略 (SHFE_rb2501): 3437.0 45.9 -68.4\n",
|
||
"[2024-10-11 14:00:00] 策略 (SHFE_rb2501): [2024-10-11 14:00:00] 开多仓信号 - 当前Open=3437.00, 前1Range=27.00, 前7Range=38.00, 计算目标买入价=3459.50\n",
|
||
"[2024-10-11 14:00:00] 策略 (SHFE_rb2501): [2024-10-11 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241011140000_127 @ 3459.50\n",
|
||
"[2024-10-11 21:00:00] 策略 (SHFE_rb2501): [2024-10-11 21:00:00] 止盈信号 - PnL per unit: 35.00, 目标: 10.00\n",
|
||
"[2024-10-11 22:00:00] 策略 (SHFE_rb2501): 3472.0 73.1 -68.4\n",
|
||
"[2024-10-11 22:00:00] 策略 (SHFE_rb2501): [2024-10-11 22:00:00] 开多仓信号 - 当前Open=3472.00, 前1Range=43.00, 前7Range=38.00, 计算目标买入价=3467.30\n",
|
||
"[2024-10-11 22:00:00] 策略 (SHFE_rb2501): [2024-10-11 22:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-14 09:00:00] 策略 (SHFE_rb2501): 3501.0 93.5 -82.8\n",
|
||
"[2024-10-14 09:00:00] 策略 (SHFE_rb2501): [2024-10-14 09:00:00] 开多仓信号 - 当前Open=3501.00, 前1Range=55.00, 前7Range=46.00, 计算目标买入价=3490.30\n",
|
||
"[2024-10-14 09:00:00] 策略 (SHFE_rb2501): [2024-10-14 09:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241014090000_130 @ 3490.30\n",
|
||
"[2024-10-14 10:00:00] 策略 (SHFE_rb2501): [2024-10-14 10:00:00] 止盈信号 - PnL per unit: 11.70, 目标: 10.00\n",
|
||
"[2024-10-14 11:00:00] 策略 (SHFE_rb2501): 3502.0 64.6 -48.6\n",
|
||
"[2024-10-14 11:00:00] 策略 (SHFE_rb2501): [2024-10-14 11:00:00] 开多仓信号 - 当前Open=3502.00, 前1Range=38.00, 前7Range=27.00, 计算目标买入价=3486.00\n",
|
||
"[2024-10-14 11:00:00] 策略 (SHFE_rb2501): [2024-10-14 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-14 13:00:00] 策略 (SHFE_rb2501): 3530.0 56.1 -91.8\n",
|
||
"[2024-10-14 13:00:00] 策略 (SHFE_rb2501): [2024-10-14 13:00:00] 开多仓信号 - 当前Open=3530.00, 前1Range=33.00, 前7Range=51.00, 计算目标买入价=3565.70\n",
|
||
"[2024-10-14 13:00:00] 策略 (SHFE_rb2501): [2024-10-14 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241014130000_133 @ 3565.70\n",
|
||
"[2024-10-14 14:00:00] 策略 (SHFE_rb2501): [2024-10-14 14:00:00] 止损信号 - PnL per unit: -28.00, 目标: -10.00\n",
|
||
"[2024-10-14 21:00:00] 策略 (SHFE_rb2501): 3499.0 47.6 -99.0\n",
|
||
"[2024-10-14 21:00:00] 策略 (SHFE_rb2501): [2024-10-14 21:00:00] 开多仓信号 - 当前Open=3499.00, 前1Range=28.00, 前7Range=55.00, 计算目标买入价=3550.40\n",
|
||
"[2024-10-14 21:00:00] 策略 (SHFE_rb2501): [2024-10-14 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241014210000_135 @ 3550.40\n",
|
||
"[2024-10-14 22:00:00] 策略 (SHFE_rb2501): [2024-10-14 22:00:00] 止损信号 - PnL per unit: -15.00, 目标: -10.00\n",
|
||
"[2024-10-15 09:00:00] 策略 (SHFE_rb2501): 3483.0 45.9 -68.4\n",
|
||
"[2024-10-15 09:00:00] 策略 (SHFE_rb2501): [2024-10-15 09:00:00] 开多仓信号 - 当前Open=3483.00, 前1Range=27.00, 前7Range=38.00, 计算目标买入价=3505.50\n",
|
||
"[2024-10-15 09:00:00] 策略 (SHFE_rb2501): [2024-10-15 09:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241015090000_137 @ 3505.50\n",
|
||
"[2024-10-15 11:00:00] 策略 (SHFE_rb2501): [2024-10-15 11:00:00] 止盈信号 - PnL per unit: 24.00, 目标: 10.00\n",
|
||
"[2024-10-15 13:00:00] 策略 (SHFE_rb2501): 3487.0 44.199999999999996 -50.4\n",
|
||
"[2024-10-15 13:00:00] 策略 (SHFE_rb2501): [2024-10-15 13:00:00] 开多仓信号 - 当前Open=3487.00, 前1Range=26.00, 前7Range=28.00, 计算目标买入价=3493.20\n",
|
||
"[2024-10-15 13:00:00] 策略 (SHFE_rb2501): [2024-10-15 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241015130000_139 @ 3493.20\n",
|
||
"[2024-10-15 14:00:00] 策略 (SHFE_rb2501): [2024-10-15 14:00:00] 止损信号 - PnL per unit: -20.00, 目标: -10.00\n",
|
||
"[2024-10-15 21:00:00] 策略 (SHFE_rb2501): 3470.0 47.6 -48.6\n",
|
||
"[2024-10-15 21:00:00] 策略 (SHFE_rb2501): [2024-10-15 21:00:00] 开多仓信号 - 当前Open=3470.00, 前1Range=28.00, 前7Range=27.00, 计算目标买入价=3471.00\n",
|
||
"[2024-10-15 21:00:00] 策略 (SHFE_rb2501): [2024-10-15 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241015210000_141 @ 3471.00\n",
|
||
"[2024-10-15 22:00:00] 策略 (SHFE_rb2501): [2024-10-15 22:00:00] 止盈信号 - PnL per unit: 11.00, 目标: 10.00\n",
|
||
"[2024-10-16 09:00:00] 策略 (SHFE_rb2501): 3478.0 28.9 -43.2\n",
|
||
"[2024-10-16 09:00:00] 策略 (SHFE_rb2501): [2024-10-16 09:00:00] 开多仓信号 - 当前Open=3478.00, 前1Range=17.00, 前7Range=24.00, 计算目标买入价=3492.30\n",
|
||
"[2024-10-16 09:00:00] 策略 (SHFE_rb2501): [2024-10-16 09:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241016090000_143 @ 3492.30\n",
|
||
"[2024-10-16 13:00:00] 策略 (SHFE_rb2501): [2024-10-16 13:00:00] 止损信号 - PnL per unit: -10.00, 目标: -10.00\n",
|
||
"[2024-10-16 14:00:00] 策略 (SHFE_rb2501): 3468.0 30.599999999999998 -57.6\n",
|
||
"[2024-10-16 14:00:00] 策略 (SHFE_rb2501): [2024-10-16 14:00:00] 开多仓信号 - 当前Open=3468.00, 前1Range=18.00, 前7Range=32.00, 计算目标买入价=3495.00\n",
|
||
"[2024-10-16 14:00:00] 策略 (SHFE_rb2501): [2024-10-16 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241016140000_145 @ 3495.00\n",
|
||
"[2024-10-17 10:00:00] 策略 (SHFE_rb2501): [2024-10-17 10:00:00] 止损信号 - PnL per unit: -85.00, 目标: -10.00\n",
|
||
"[2024-10-17 11:00:00] 策略 (SHFE_rb2501): 3383.0 204.0 -32.4\n",
|
||
"[2024-10-17 11:00:00] 策略 (SHFE_rb2501): [2024-10-17 11:00:00] 开多仓信号 - 当前Open=3383.00, 前1Range=120.00, 前7Range=18.00, 计算目标买入价=3211.40\n",
|
||
"[2024-10-17 11:00:00] 策略 (SHFE_rb2501): [2024-10-17 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-17 13:00:00] 策略 (SHFE_rb2501): 3355.0 69.7 -54.0\n",
|
||
"[2024-10-17 13:00:00] 策略 (SHFE_rb2501): [2024-10-17 13:00:00] 开多仓信号 - 当前Open=3355.00, 前1Range=41.00, 前7Range=30.00, 计算目标买入价=3339.30\n",
|
||
"[2024-10-17 13:00:00] 策略 (SHFE_rb2501): [2024-10-17 13:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-17 14:00:00] 策略 (SHFE_rb2501): 3343.0 37.4 -37.800000000000004\n",
|
||
"[2024-10-17 14:00:00] 策略 (SHFE_rb2501): [2024-10-17 14:00:00] 开多仓信号 - 当前Open=3343.00, 前1Range=22.00, 前7Range=21.00, 计算目标买入价=3343.40\n",
|
||
"[2024-10-17 14:00:00] 策略 (SHFE_rb2501): [2024-10-17 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241017140000_149 @ 3343.40\n",
|
||
"[2024-10-17 21:00:00] 策略 (SHFE_rb2501): [2024-10-17 21:00:00] 止损信号 - PnL per unit: -22.00, 目标: -10.00\n",
|
||
"[2024-10-17 22:00:00] 策略 (SHFE_rb2501): 3321.0 57.8 -46.800000000000004\n",
|
||
"[2024-10-17 22:00:00] 策略 (SHFE_rb2501): [2024-10-17 22:00:00] 开多仓信号 - 当前Open=3321.00, 前1Range=34.00, 前7Range=26.00, 计算目标买入价=3310.00\n",
|
||
"[2024-10-17 22:00:00] 策略 (SHFE_rb2501): [2024-10-17 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241017220000_151 @ 3310.00\n",
|
||
"[2024-10-18 09:00:00] 策略 (SHFE_rb2501): [2024-10-18 09:00:00] 止损信号 - PnL per unit: -19.00, 目标: -10.00\n",
|
||
"[2024-10-18 10:00:00] 策略 (SHFE_rb2501): 3291.0 39.1 -73.8\n",
|
||
"[2024-10-18 10:00:00] 策略 (SHFE_rb2501): [2024-10-18 10:00:00] 开多仓信号 - 当前Open=3291.00, 前1Range=23.00, 前7Range=41.00, 计算目标买入价=3325.70\n",
|
||
"[2024-10-18 10:00:00] 策略 (SHFE_rb2501): [2024-10-18 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241018100000_153 @ 3325.70\n",
|
||
"[2024-10-18 13:00:00] 策略 (SHFE_rb2501): [2024-10-18 13:00:00] 止盈信号 - PnL per unit: 53.00, 目标: 10.00\n",
|
||
"[2024-10-18 14:00:00] 策略 (SHFE_rb2501): 3344.0 52.699999999999996 -61.2\n",
|
||
"[2024-10-18 14:00:00] 策略 (SHFE_rb2501): [2024-10-18 14:00:00] 开多仓信号 - 当前Open=3344.00, 前1Range=31.00, 前7Range=34.00, 计算目标买入价=3352.50\n",
|
||
"[2024-10-18 14:00:00] 策略 (SHFE_rb2501): [2024-10-18 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241018140000_155 @ 3352.50\n",
|
||
"[2024-10-18 21:00:00] 策略 (SHFE_rb2501): [2024-10-18 21:00:00] 止盈信号 - PnL per unit: 14.00, 目标: 10.00\n",
|
||
"[2024-10-18 22:00:00] 策略 (SHFE_rb2501): 3358.0 51.0 -41.4\n",
|
||
"[2024-10-18 22:00:00] 策略 (SHFE_rb2501): [2024-10-18 22:00:00] 开多仓信号 - 当前Open=3358.00, 前1Range=30.00, 前7Range=23.00, 计算目标买入价=3348.40\n",
|
||
"[2024-10-18 22:00:00] 策略 (SHFE_rb2501): [2024-10-18 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241018220000_157 @ 3348.40\n",
|
||
"[2024-10-21 10:00:00] 策略 (SHFE_rb2501): [2024-10-21 10:00:00] 止盈信号 - PnL per unit: 13.60, 目标: 10.00\n",
|
||
"[2024-10-21 11:00:00] 策略 (SHFE_rb2501): 3362.0 49.3 -55.800000000000004\n",
|
||
"[2024-10-21 11:00:00] 策略 (SHFE_rb2501): [2024-10-21 11:00:00] 开多仓信号 - 当前Open=3362.00, 前1Range=29.00, 前7Range=31.00, 计算目标买入价=3368.50\n",
|
||
"[2024-10-21 11:00:00] 策略 (SHFE_rb2501): [2024-10-21 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241021110000_159 @ 3368.50\n",
|
||
"[2024-10-21 13:00:00] 策略 (SHFE_rb2501): [2024-10-21 13:00:00] 止损信号 - PnL per unit: -13.00, 目标: -10.00\n",
|
||
"[2024-10-21 14:00:00] 策略 (SHFE_rb2501): 3349.0 20.4 -54.0\n",
|
||
"[2024-10-21 14:00:00] 策略 (SHFE_rb2501): [2024-10-21 14:00:00] 开多仓信号 - 当前Open=3349.00, 前1Range=12.00, 前7Range=30.00, 计算目标买入价=3382.60\n",
|
||
"[2024-10-21 14:00:00] 策略 (SHFE_rb2501): [2024-10-21 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241021140000_161 @ 3382.60\n",
|
||
"[2024-10-21 22:00:00] 策略 (SHFE_rb2501): [2024-10-21 22:00:00] 止损信号 - PnL per unit: -23.00, 目标: -10.00\n",
|
||
"[2024-10-22 09:00:00] 策略 (SHFE_rb2501): 3326.0 61.199999999999996 -52.2\n",
|
||
"[2024-10-22 09:00:00] 策略 (SHFE_rb2501): [2024-10-22 09:00:00] 开多仓信号 - 当前Open=3326.00, 前1Range=36.00, 前7Range=29.00, 计算目标买入价=3317.00\n",
|
||
"[2024-10-22 09:00:00] 策略 (SHFE_rb2501): [2024-10-22 09:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241022090000_163 @ 3317.00\n",
|
||
"[2024-10-22 11:00:00] 策略 (SHFE_rb2501): [2024-10-22 11:00:00] 止盈信号 - PnL per unit: 15.00, 目标: 10.00\n",
|
||
"[2024-10-22 13:00:00] 策略 (SHFE_rb2501): 3327.0 42.5 -30.6\n",
|
||
"[2024-10-22 13:00:00] 策略 (SHFE_rb2501): [2024-10-22 13:00:00] 开多仓信号 - 当前Open=3327.00, 前1Range=25.00, 前7Range=17.00, 计算目标买入价=3315.10\n",
|
||
"[2024-10-22 13:00:00] 策略 (SHFE_rb2501): [2024-10-22 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241022130000_165 @ 3315.10\n",
|
||
"[2024-10-22 14:00:00] 策略 (SHFE_rb2501): [2024-10-22 14:00:00] 止盈信号 - PnL per unit: 33.90, 目标: 10.00\n",
|
||
"[2024-10-22 21:00:00] 策略 (SHFE_rb2501): 3342.0 59.5 -64.8\n",
|
||
"[2024-10-22 21:00:00] 策略 (SHFE_rb2501): [2024-10-22 21:00:00] 开多仓信号 - 当前Open=3342.00, 前1Range=35.00, 前7Range=36.00, 计算目标买入价=3347.30\n",
|
||
"[2024-10-22 21:00:00] 策略 (SHFE_rb2501): [2024-10-22 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241022210000_167 @ 3347.30\n",
|
||
"[2024-10-23 10:00:00] 策略 (SHFE_rb2501): [2024-10-23 10:00:00] 止损信号 - PnL per unit: -20.00, 目标: -10.00\n",
|
||
"[2024-10-23 11:00:00] 策略 (SHFE_rb2501): 3322.0 45.9 -32.4\n",
|
||
"[2024-10-23 11:00:00] 策略 (SHFE_rb2501): [2024-10-23 11:00:00] 开多仓信号 - 当前Open=3322.00, 前1Range=27.00, 前7Range=18.00, 计算目标买入价=3308.50\n",
|
||
"[2024-10-23 11:00:00] 策略 (SHFE_rb2501): [2024-10-23 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-23 13:00:00] 策略 (SHFE_rb2501): 3335.0 27.2 -63.0\n",
|
||
"[2024-10-23 13:00:00] 策略 (SHFE_rb2501): [2024-10-23 13:00:00] 开多仓信号 - 当前Open=3335.00, 前1Range=16.00, 前7Range=35.00, 计算目标买入价=3370.80\n",
|
||
"[2024-10-23 13:00:00] 策略 (SHFE_rb2501): [2024-10-23 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241023130000_170 @ 3370.80\n",
|
||
"[2024-10-23 14:00:00] 策略 (SHFE_rb2501): [2024-10-23 14:00:00] 止损信号 - PnL per unit: -19.00, 目标: -10.00\n",
|
||
"[2024-10-23 21:00:00] 策略 (SHFE_rb2501): 3307.0 64.6 -25.2\n",
|
||
"[2024-10-23 21:00:00] 策略 (SHFE_rb2501): [2024-10-23 21:00:00] 开多仓信号 - 当前Open=3307.00, 前1Range=38.00, 前7Range=14.00, 计算目标买入价=3267.60\n",
|
||
"[2024-10-23 21:00:00] 策略 (SHFE_rb2501): [2024-10-23 21:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-23 22:00:00] 策略 (SHFE_rb2501): 3317.0 28.9 -43.2\n",
|
||
"[2024-10-23 22:00:00] 策略 (SHFE_rb2501): [2024-10-23 22:00:00] 开多仓信号 - 当前Open=3317.00, 前1Range=17.00, 前7Range=24.00, 计算目标买入价=3331.30\n",
|
||
"[2024-10-23 22:00:00] 策略 (SHFE_rb2501): [2024-10-23 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241023220000_173 @ 3331.30\n",
|
||
"[2024-10-24 13:00:00] 策略 (SHFE_rb2501): [2024-10-24 13:00:00] 止损信号 - PnL per unit: -21.00, 目标: -10.00\n",
|
||
"[2024-10-24 14:00:00] 策略 (SHFE_rb2501): 3296.0 32.3 -30.6\n",
|
||
"[2024-10-24 14:00:00] 策略 (SHFE_rb2501): [2024-10-24 14:00:00] 开多仓信号 - 当前Open=3296.00, 前1Range=19.00, 前7Range=17.00, 计算目标买入价=3294.30\n",
|
||
"[2024-10-24 14:00:00] 策略 (SHFE_rb2501): [2024-10-24 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241024140000_175 @ 3294.30\n",
|
||
"[2024-10-24 21:00:00] 策略 (SHFE_rb2501): [2024-10-24 21:00:00] 止盈信号 - PnL per unit: 69.70, 目标: 10.00\n",
|
||
"[2024-10-24 22:00:00] 策略 (SHFE_rb2501): 3364.0 69.7 -54.0\n",
|
||
"[2024-10-24 22:00:00] 策略 (SHFE_rb2501): [2024-10-24 22:00:00] 开多仓信号 - 当前Open=3364.00, 前1Range=41.00, 前7Range=30.00, 计算目标买入价=3348.30\n",
|
||
"[2024-10-24 22:00:00] 策略 (SHFE_rb2501): [2024-10-24 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241024220000_177 @ 3348.30\n",
|
||
"[2024-10-25 10:00:00] 策略 (SHFE_rb2501): [2024-10-25 10:00:00] 止盈信号 - PnL per unit: 20.70, 目标: 10.00\n",
|
||
"[2024-10-25 11:00:00] 策略 (SHFE_rb2501): 3369.0 54.4 -34.2\n",
|
||
"[2024-10-25 11:00:00] 策略 (SHFE_rb2501): [2024-10-25 11:00:00] 开多仓信号 - 当前Open=3369.00, 前1Range=32.00, 前7Range=19.00, 计算目标买入价=3348.80\n",
|
||
"[2024-10-25 11:00:00] 策略 (SHFE_rb2501): [2024-10-25 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-25 13:00:00] 策略 (SHFE_rb2501): 3376.0 25.5 -84.60000000000001\n",
|
||
"[2024-10-25 13:00:00] 策略 (SHFE_rb2501): [2024-10-25 13:00:00] 开多仓信号 - 当前Open=3376.00, 前1Range=15.00, 前7Range=47.00, 计算目标买入价=3435.10\n",
|
||
"[2024-10-25 13:00:00] 策略 (SHFE_rb2501): [2024-10-25 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241025130000_180 @ 3435.10\n",
|
||
"[2024-10-25 21:00:00] 策略 (SHFE_rb2501): [2024-10-25 21:00:00] 止盈信号 - PnL per unit: 49.00, 目标: 10.00\n",
|
||
"[2024-10-25 22:00:00] 策略 (SHFE_rb2501): 3425.0 93.5 -28.8\n",
|
||
"[2024-10-25 22:00:00] 策略 (SHFE_rb2501): [2024-10-25 22:00:00] 开多仓信号 - 当前Open=3425.00, 前1Range=55.00, 前7Range=16.00, 计算目标买入价=3360.30\n",
|
||
"[2024-10-25 22:00:00] 策略 (SHFE_rb2501): [2024-10-25 22:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-28 09:00:00] 策略 (SHFE_rb2501): 3449.0 42.5 -57.6\n",
|
||
"[2024-10-28 09:00:00] 策略 (SHFE_rb2501): [2024-10-28 09:00:00] 开多仓信号 - 当前Open=3449.00, 前1Range=25.00, 前7Range=32.00, 计算目标买入价=3464.10\n",
|
||
"[2024-10-28 09:00:00] 策略 (SHFE_rb2501): [2024-10-28 09:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241028090000_183 @ 3464.10\n",
|
||
"[2024-10-28 10:00:00] 策略 (SHFE_rb2501): [2024-10-28 10:00:00] 止盈信号 - PnL per unit: 17.00, 目标: 10.00\n",
|
||
"[2024-10-28 11:00:00] 策略 (SHFE_rb2501): 3466.0 54.4 -32.4\n",
|
||
"[2024-10-28 11:00:00] 策略 (SHFE_rb2501): [2024-10-28 11:00:00] 开多仓信号 - 当前Open=3466.00, 前1Range=32.00, 前7Range=18.00, 计算目标买入价=3444.00\n",
|
||
"[2024-10-28 11:00:00] 策略 (SHFE_rb2501): [2024-10-28 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-28 13:00:00] 策略 (SHFE_rb2501): 3468.0 25.5 -28.8\n",
|
||
"[2024-10-28 13:00:00] 策略 (SHFE_rb2501): [2024-10-28 13:00:00] 开多仓信号 - 当前Open=3468.00, 前1Range=15.00, 前7Range=16.00, 计算目标买入价=3471.30\n",
|
||
"[2024-10-28 13:00:00] 策略 (SHFE_rb2501): [2024-10-28 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241028130000_186 @ 3471.30\n",
|
||
"[2024-10-28 14:00:00] 策略 (SHFE_rb2501): [2024-10-28 14:00:00] 止损信号 - PnL per unit: -17.00, 目标: -10.00\n",
|
||
"[2024-10-28 21:00:00] 策略 (SHFE_rb2501): 3450.0 44.199999999999996 -45.0\n",
|
||
"[2024-10-28 21:00:00] 策略 (SHFE_rb2501): [2024-10-28 21:00:00] 开多仓信号 - 当前Open=3450.00, 前1Range=26.00, 前7Range=25.00, 计算目标买入价=3450.80\n",
|
||
"[2024-10-28 21:00:00] 策略 (SHFE_rb2501): [2024-10-28 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241028210000_188 @ 3450.80\n",
|
||
"[2024-10-29 09:00:00] 策略 (SHFE_rb2501): [2024-10-29 09:00:00] 止损信号 - PnL per unit: -10.00, 目标: -10.00\n",
|
||
"[2024-10-29 10:00:00] 策略 (SHFE_rb2501): 3440.0 40.8 -27.0\n",
|
||
"[2024-10-29 10:00:00] 策略 (SHFE_rb2501): [2024-10-29 10:00:00] 开多仓信号 - 当前Open=3440.00, 前1Range=24.00, 前7Range=15.00, 计算目标买入价=3426.20\n",
|
||
"[2024-10-29 10:00:00] 策略 (SHFE_rb2501): [2024-10-29 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-29 11:00:00] 策略 (SHFE_rb2501): 3432.0 27.2 -25.2\n",
|
||
"[2024-10-29 11:00:00] 策略 (SHFE_rb2501): [2024-10-29 11:00:00] 开多仓信号 - 当前Open=3432.00, 前1Range=16.00, 前7Range=14.00, 计算目标买入价=3430.00\n",
|
||
"[2024-10-29 11:00:00] 策略 (SHFE_rb2501): [2024-10-29 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241029110000_191 @ 3430.00\n",
|
||
"[2024-10-29 13:00:00] 策略 (SHFE_rb2501): [2024-10-29 13:00:00] 止损信号 - PnL per unit: -12.00, 目标: -10.00\n",
|
||
"[2024-10-29 14:00:00] 策略 (SHFE_rb2501): 3418.0 15.299999999999999 -28.8\n",
|
||
"[2024-10-29 14:00:00] 策略 (SHFE_rb2501): [2024-10-29 14:00:00] 开多仓信号 - 当前Open=3418.00, 前1Range=9.00, 前7Range=16.00, 计算目标买入价=3431.50\n",
|
||
"[2024-10-29 14:00:00] 策略 (SHFE_rb2501): [2024-10-29 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241029140000_193 @ 3431.50\n",
|
||
"[2024-10-29 21:00:00] 策略 (SHFE_rb2501): [2024-10-29 21:00:00] 止盈信号 - PnL per unit: 21.00, 目标: 10.00\n",
|
||
"[2024-10-29 22:00:00] 策略 (SHFE_rb2501): 3439.0 59.5 -43.2\n",
|
||
"[2024-10-29 22:00:00] 策略 (SHFE_rb2501): [2024-10-29 22:00:00] 开多仓信号 - 当前Open=3439.00, 前1Range=35.00, 前7Range=24.00, 计算目标买入价=3422.70\n",
|
||
"[2024-10-29 22:00:00] 策略 (SHFE_rb2501): [2024-10-29 22:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-30 09:00:00] 策略 (SHFE_rb2501): 3446.0 30.599999999999998 -28.8\n",
|
||
"[2024-10-30 09:00:00] 策略 (SHFE_rb2501): [2024-10-30 09:00:00] 开多仓信号 - 当前Open=3446.00, 前1Range=18.00, 前7Range=16.00, 计算目标买入价=3444.20\n",
|
||
"[2024-10-30 09:00:00] 策略 (SHFE_rb2501): [2024-10-30 09:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241030090000_196 @ 3444.20\n",
|
||
"[2024-10-30 11:00:00] 策略 (SHFE_rb2501): [2024-10-30 11:00:00] 止损信号 - PnL per unit: -26.20, 目标: -10.00\n",
|
||
"[2024-10-30 13:00:00] 策略 (SHFE_rb2501): 3411.0 40.8 -32.4\n",
|
||
"[2024-10-30 13:00:00] 策略 (SHFE_rb2501): [2024-10-30 13:00:00] 开多仓信号 - 当前Open=3411.00, 前1Range=24.00, 前7Range=18.00, 计算目标买入价=3402.60\n",
|
||
"[2024-10-30 13:00:00] 策略 (SHFE_rb2501): [2024-10-30 13:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-30 14:00:00] 策略 (SHFE_rb2501): 3421.0 39.1 -63.0\n",
|
||
"[2024-10-30 14:00:00] 策略 (SHFE_rb2501): [2024-10-30 14:00:00] 开多仓信号 - 当前Open=3421.00, 前1Range=23.00, 前7Range=35.00, 计算目标买入价=3444.90\n",
|
||
"[2024-10-30 14:00:00] 策略 (SHFE_rb2501): [2024-10-30 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241030140000_199 @ 3444.90\n",
|
||
"[2024-10-30 21:00:00] 策略 (SHFE_rb2501): [2024-10-30 21:00:00] 止盈信号 - PnL per unit: 13.00, 目标: 10.00\n",
|
||
"[2024-10-30 22:00:00] 策略 (SHFE_rb2501): 3434.0 47.6 -34.2\n",
|
||
"[2024-10-30 22:00:00] 策略 (SHFE_rb2501): [2024-10-30 22:00:00] 开多仓信号 - 当前Open=3434.00, 前1Range=28.00, 前7Range=19.00, 计算目标买入价=3420.60\n",
|
||
"[2024-10-30 22:00:00] 策略 (SHFE_rb2501): [2024-10-30 22:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-10-31 09:00:00] 策略 (SHFE_rb2501): 3438.0 27.2 -37.800000000000004\n",
|
||
"[2024-10-31 09:00:00] 策略 (SHFE_rb2501): [2024-10-31 09:00:00] 开多仓信号 - 当前Open=3438.00, 前1Range=16.00, 前7Range=21.00, 计算目标买入价=3448.60\n",
|
||
"[2024-10-31 09:00:00] 策略 (SHFE_rb2501): [2024-10-31 09:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241031090000_202 @ 3448.60\n",
|
||
"[2024-10-31 14:00:00] 策略 (SHFE_rb2501): [2024-10-31 14:00:00] 止损信号 - PnL per unit: -11.00, 目标: -10.00\n",
|
||
"[2024-10-31 21:00:00] 策略 (SHFE_rb2501): 3425.0 40.8 -28.8\n",
|
||
"[2024-10-31 21:00:00] 策略 (SHFE_rb2501): [2024-10-31 21:00:00] 开多仓信号 - 当前Open=3425.00, 前1Range=24.00, 前7Range=16.00, 计算目标买入价=3413.00\n",
|
||
"[2024-10-31 21:00:00] 策略 (SHFE_rb2501): [2024-10-31 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241031210000_204 @ 3413.00\n",
|
||
"[2024-10-31 22:00:00] 策略 (SHFE_rb2501): [2024-10-31 22:00:00] 止损信号 - PnL per unit: -35.00, 目标: -10.00\n",
|
||
"[2024-11-01 09:00:00] 策略 (SHFE_rb2501): 3382.0 73.1 -45.0\n",
|
||
"[2024-11-01 09:00:00] 策略 (SHFE_rb2501): [2024-11-01 09:00:00] 开多仓信号 - 当前Open=3382.00, 前1Range=43.00, 前7Range=25.00, 计算目标买入价=3353.90\n",
|
||
"[2024-11-01 09:00:00] 策略 (SHFE_rb2501): [2024-11-01 09:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-01 10:00:00] 策略 (SHFE_rb2501): 3406.0 52.699999999999996 -34.2\n",
|
||
"[2024-11-01 10:00:00] 策略 (SHFE_rb2501): [2024-11-01 10:00:00] 开多仓信号 - 当前Open=3406.00, 前1Range=31.00, 前7Range=19.00, 计算目标买入价=3387.50\n",
|
||
"[2024-11-01 10:00:00] 策略 (SHFE_rb2501): [2024-11-01 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241101100000_207 @ 3387.50\n",
|
||
"[2024-11-01 11:00:00] 策略 (SHFE_rb2501): [2024-11-01 11:00:00] 止盈信号 - PnL per unit: 26.50, 目标: 10.00\n",
|
||
"[2024-11-01 13:00:00] 策略 (SHFE_rb2501): 3407.0 44.199999999999996 -43.2\n",
|
||
"[2024-11-01 13:00:00] 策略 (SHFE_rb2501): [2024-11-01 13:00:00] 开多仓信号 - 当前Open=3407.00, 前1Range=26.00, 前7Range=24.00, 计算目标买入价=3406.00\n",
|
||
"[2024-11-01 13:00:00] 策略 (SHFE_rb2501): [2024-11-01 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241101130000_209 @ 3406.00\n",
|
||
"[2024-11-01 14:00:00] 策略 (SHFE_rb2501): [2024-11-01 14:00:00] 止损信号 - PnL per unit: -13.00, 目标: -10.00\n",
|
||
"[2024-11-01 21:00:00] 策略 (SHFE_rb2501): 3403.0 45.9 -77.4\n",
|
||
"[2024-11-01 21:00:00] 策略 (SHFE_rb2501): [2024-11-01 21:00:00] 开多仓信号 - 当前Open=3403.00, 前1Range=27.00, 前7Range=43.00, 计算目标买入价=3434.50\n",
|
||
"[2024-11-01 21:00:00] 策略 (SHFE_rb2501): [2024-11-01 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241101210000_211 @ 3434.50\n",
|
||
"[2024-11-01 22:00:00] 策略 (SHFE_rb2501): [2024-11-01 22:00:00] 止损信号 - PnL per unit: -39.00, 目标: -10.00\n",
|
||
"[2024-11-04 09:00:00] 策略 (SHFE_rb2501): 3370.0 100.3 -45.0\n",
|
||
"[2024-11-04 09:00:00] 策略 (SHFE_rb2501): [2024-11-04 09:00:00] 开多仓信号 - 当前Open=3370.00, 前1Range=59.00, 前7Range=25.00, 计算目标买入价=3314.70\n",
|
||
"[2024-11-04 09:00:00] 策略 (SHFE_rb2501): [2024-11-04 09:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-04 10:00:00] 策略 (SHFE_rb2501): 3361.0 44.199999999999996 -46.800000000000004\n",
|
||
"[2024-11-04 10:00:00] 策略 (SHFE_rb2501): [2024-11-04 10:00:00] 开多仓信号 - 当前Open=3361.00, 前1Range=26.00, 前7Range=26.00, 计算目标买入价=3363.60\n",
|
||
"[2024-11-04 10:00:00] 策略 (SHFE_rb2501): [2024-11-04 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241104100000_214 @ 3363.60\n",
|
||
"[2024-11-04 11:00:00] 策略 (SHFE_rb2501): [2024-11-04 11:00:00] 止盈信号 - PnL per unit: 42.00, 目标: 10.00\n",
|
||
"[2024-11-04 13:00:00] 策略 (SHFE_rb2501): 3399.0 62.9 -48.6\n",
|
||
"[2024-11-04 13:00:00] 策略 (SHFE_rb2501): [2024-11-04 13:00:00] 开多仓信号 - 当前Open=3399.00, 前1Range=37.00, 前7Range=27.00, 计算目标买入价=3384.70\n",
|
||
"[2024-11-04 13:00:00] 策略 (SHFE_rb2501): [2024-11-04 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241104130000_216 @ 3384.70\n",
|
||
"[2024-11-04 14:00:00] 策略 (SHFE_rb2501): [2024-11-04 14:00:00] 止盈信号 - PnL per unit: 40.30, 目标: 10.00\n",
|
||
"[2024-11-04 21:00:00] 策略 (SHFE_rb2501): 3425.0 51.0 -106.2\n",
|
||
"[2024-11-04 21:00:00] 策略 (SHFE_rb2501): [2024-11-04 21:00:00] 开多仓信号 - 当前Open=3425.00, 前1Range=30.00, 前7Range=59.00, 计算目标买入价=3480.20\n",
|
||
"[2024-11-04 21:00:00] 策略 (SHFE_rb2501): [2024-11-04 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241104210000_218 @ 3480.20\n",
|
||
"[2024-11-05 10:00:00] 策略 (SHFE_rb2501): [2024-11-05 10:00:00] 止盈信号 - PnL per unit: 14.00, 目标: 10.00\n",
|
||
"[2024-11-05 11:00:00] 策略 (SHFE_rb2501): 3439.0 37.4 -34.2\n",
|
||
"[2024-11-05 11:00:00] 策略 (SHFE_rb2501): [2024-11-05 11:00:00] 开多仓信号 - 当前Open=3439.00, 前1Range=22.00, 前7Range=19.00, 计算目标买入价=3435.80\n",
|
||
"[2024-11-05 11:00:00] 策略 (SHFE_rb2501): [2024-11-05 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-05 13:00:00] 策略 (SHFE_rb2501): 3454.0 25.5 -54.0\n",
|
||
"[2024-11-05 13:00:00] 策略 (SHFE_rb2501): [2024-11-05 13:00:00] 开多仓信号 - 当前Open=3454.00, 前1Range=15.00, 前7Range=30.00, 计算目标买入价=3482.50\n",
|
||
"[2024-11-05 13:00:00] 策略 (SHFE_rb2501): [2024-11-05 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241105130000_221 @ 3482.50\n",
|
||
"[2024-11-05 14:00:00] 策略 (SHFE_rb2501): [2024-11-05 14:00:00] 止损信号 - PnL per unit: -21.00, 目标: -10.00\n",
|
||
"[2024-11-05 21:00:00] 策略 (SHFE_rb2501): 3445.0 37.4 -27.0\n",
|
||
"[2024-11-05 21:00:00] 策略 (SHFE_rb2501): [2024-11-05 21:00:00] 开多仓信号 - 当前Open=3445.00, 前1Range=22.00, 前7Range=15.00, 计算目标买入价=3434.60\n",
|
||
"[2024-11-05 21:00:00] 策略 (SHFE_rb2501): [2024-11-05 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241105210000_223 @ 3434.60\n",
|
||
"[2024-11-06 09:00:00] 策略 (SHFE_rb2501): [2024-11-06 09:00:00] 止损信号 - PnL per unit: -17.60, 目标: -10.00\n",
|
||
"[2024-11-06 10:00:00] 策略 (SHFE_rb2501): 3417.0 45.9 -27.0\n",
|
||
"[2024-11-06 10:00:00] 策略 (SHFE_rb2501): [2024-11-06 10:00:00] 开多仓信号 - 当前Open=3417.00, 前1Range=27.00, 前7Range=15.00, 计算目标买入价=3398.10\n",
|
||
"[2024-11-06 10:00:00] 策略 (SHFE_rb2501): [2024-11-06 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241106100000_225 @ 3398.10\n",
|
||
"[2024-11-06 11:00:00] 策略 (SHFE_rb2501): [2024-11-06 11:00:00] 止损信号 - PnL per unit: -18.10, 目标: -10.00\n",
|
||
"[2024-11-06 13:00:00] 策略 (SHFE_rb2501): 3369.0 59.5 -39.6\n",
|
||
"[2024-11-06 13:00:00] 策略 (SHFE_rb2501): [2024-11-06 13:00:00] 开多仓信号 - 当前Open=3369.00, 前1Range=35.00, 前7Range=22.00, 计算目标买入价=3349.10\n",
|
||
"[2024-11-06 13:00:00] 策略 (SHFE_rb2501): [2024-11-06 13:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-06 14:00:00] 策略 (SHFE_rb2501): 3406.0 79.89999999999999 -39.6\n",
|
||
"[2024-11-06 14:00:00] 策略 (SHFE_rb2501): [2024-11-06 14:00:00] 开多仓信号 - 当前Open=3406.00, 前1Range=47.00, 前7Range=22.00, 计算目标买入价=3365.70\n",
|
||
"[2024-11-06 14:00:00] 策略 (SHFE_rb2501): [2024-11-06 14:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-06 21:00:00] 策略 (SHFE_rb2501): 3380.0 90.1 -32.4\n",
|
||
"[2024-11-06 21:00:00] 策略 (SHFE_rb2501): [2024-11-06 21:00:00] 开多仓信号 - 当前Open=3380.00, 前1Range=53.00, 前7Range=18.00, 计算目标买入价=3322.30\n",
|
||
"[2024-11-06 21:00:00] 策略 (SHFE_rb2501): [2024-11-06 21:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-06 22:00:00] 策略 (SHFE_rb2501): 3372.0 51.0 -48.6\n",
|
||
"[2024-11-06 22:00:00] 策略 (SHFE_rb2501): [2024-11-06 22:00:00] 开多仓信号 - 当前Open=3372.00, 前1Range=30.00, 前7Range=27.00, 计算目标买入价=3369.60\n",
|
||
"[2024-11-06 22:00:00] 策略 (SHFE_rb2501): [2024-11-06 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241106220000_230 @ 3369.60\n",
|
||
"[2024-11-07 09:00:00] 策略 (SHFE_rb2501): [2024-11-07 09:00:00] 止盈信号 - PnL per unit: 34.40, 目标: 10.00\n",
|
||
"[2024-11-07 10:00:00] 策略 (SHFE_rb2501): 3404.0 54.4 -63.0\n",
|
||
"[2024-11-07 10:00:00] 策略 (SHFE_rb2501): [2024-11-07 10:00:00] 开多仓信号 - 当前Open=3404.00, 前1Range=32.00, 前7Range=35.00, 计算目标买入价=3412.60\n",
|
||
"[2024-11-07 10:00:00] 策略 (SHFE_rb2501): [2024-11-07 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241107100000_232 @ 3412.60\n",
|
||
"[2024-11-07 13:00:00] 策略 (SHFE_rb2501): [2024-11-07 13:00:00] 止盈信号 - PnL per unit: 13.00, 目标: 10.00\n",
|
||
"[2024-11-07 14:00:00] 策略 (SHFE_rb2501): 3417.0 28.9 -54.0\n",
|
||
"[2024-11-07 14:00:00] 策略 (SHFE_rb2501): [2024-11-07 14:00:00] 开多仓信号 - 当前Open=3417.00, 前1Range=17.00, 前7Range=30.00, 计算目标买入价=3442.10\n",
|
||
"[2024-11-07 14:00:00] 策略 (SHFE_rb2501): [2024-11-07 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241107140000_234 @ 3442.10\n",
|
||
"[2024-11-07 21:00:00] 策略 (SHFE_rb2501): [2024-11-07 21:00:00] 止盈信号 - PnL per unit: 19.00, 目标: 10.00\n",
|
||
"[2024-11-07 22:00:00] 策略 (SHFE_rb2501): 3436.0 45.9 -57.6\n",
|
||
"[2024-11-07 22:00:00] 策略 (SHFE_rb2501): [2024-11-07 22:00:00] 开多仓信号 - 当前Open=3436.00, 前1Range=27.00, 前7Range=32.00, 计算目标买入价=3447.70\n",
|
||
"[2024-11-07 22:00:00] 策略 (SHFE_rb2501): [2024-11-07 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241107220000_236 @ 3447.70\n",
|
||
"[2024-11-08 10:00:00] 策略 (SHFE_rb2501): [2024-11-08 10:00:00] 止损信号 - PnL per unit: -40.00, 目标: -10.00\n",
|
||
"[2024-11-08 11:00:00] 策略 (SHFE_rb2501): 3396.0 95.2 -30.6\n",
|
||
"[2024-11-08 11:00:00] 策略 (SHFE_rb2501): [2024-11-08 11:00:00] 开多仓信号 - 当前Open=3396.00, 前1Range=56.00, 前7Range=17.00, 计算目标买入价=3331.40\n",
|
||
"[2024-11-08 11:00:00] 策略 (SHFE_rb2501): [2024-11-08 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-08 13:00:00] 策略 (SHFE_rb2501): 3385.0 59.5 -54.0\n",
|
||
"[2024-11-08 13:00:00] 策略 (SHFE_rb2501): [2024-11-08 13:00:00] 开多仓信号 - 当前Open=3385.00, 前1Range=35.00, 前7Range=30.00, 计算目标买入价=3379.50\n",
|
||
"[2024-11-08 13:00:00] 策略 (SHFE_rb2501): [2024-11-08 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241108130000_239 @ 3379.50\n",
|
||
"[2024-11-08 14:00:00] 策略 (SHFE_rb2501): [2024-11-08 14:00:00] 止损信号 - PnL per unit: -12.50, 目标: -10.00\n",
|
||
"[2024-11-08 21:00:00] 策略 (SHFE_rb2501): 3348.0 37.4 -41.4\n",
|
||
"[2024-11-08 21:00:00] 策略 (SHFE_rb2501): [2024-11-08 21:00:00] 开多仓信号 - 当前Open=3348.00, 前1Range=22.00, 前7Range=23.00, 计算目标买入价=3352.00\n",
|
||
"[2024-11-08 21:00:00] 策略 (SHFE_rb2501): [2024-11-08 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241108210000_241 @ 3352.00\n",
|
||
"[2024-11-11 09:00:00] 策略 (SHFE_rb2501): [2024-11-11 09:00:00] 止损信号 - PnL per unit: -29.00, 目标: -10.00\n",
|
||
"[2024-11-11 10:00:00] 策略 (SHFE_rb2501): 3319.0 49.3 -63.0\n",
|
||
"[2024-11-11 10:00:00] 策略 (SHFE_rb2501): [2024-11-11 10:00:00] 开多仓信号 - 当前Open=3319.00, 前1Range=29.00, 前7Range=35.00, 计算目标买入价=3332.70\n",
|
||
"[2024-11-11 10:00:00] 策略 (SHFE_rb2501): [2024-11-11 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241111100000_243 @ 3332.70\n",
|
||
"[2024-11-11 11:00:00] 策略 (SHFE_rb2501): [2024-11-11 11:00:00] 止盈信号 - PnL per unit: 14.00, 目标: 10.00\n",
|
||
"[2024-11-11 13:00:00] 策略 (SHFE_rb2501): 3340.0 18.7 -39.6\n",
|
||
"[2024-11-11 13:00:00] 策略 (SHFE_rb2501): [2024-11-11 13:00:00] 开多仓信号 - 当前Open=3340.00, 前1Range=11.00, 前7Range=22.00, 计算目标买入价=3360.90\n",
|
||
"[2024-11-11 13:00:00] 策略 (SHFE_rb2501): [2024-11-11 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241111130000_245 @ 3360.90\n",
|
||
"[2024-11-12 10:00:00] 策略 (SHFE_rb2501): [2024-11-12 10:00:00] 止损信号 - PnL per unit: -19.00, 目标: -10.00\n",
|
||
"[2024-11-12 11:00:00] 策略 (SHFE_rb2501): 3321.0 34.0 -55.800000000000004\n",
|
||
"[2024-11-12 11:00:00] 策略 (SHFE_rb2501): [2024-11-12 11:00:00] 开多仓信号 - 当前Open=3321.00, 前1Range=20.00, 前7Range=31.00, 计算目标买入价=3342.80\n",
|
||
"[2024-11-12 11:00:00] 策略 (SHFE_rb2501): [2024-11-12 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241112110000_247 @ 3342.80\n",
|
||
"[2024-11-12 14:00:00] 策略 (SHFE_rb2501): [2024-11-12 14:00:00] 止盈信号 - PnL per unit: 23.00, 目标: 10.00\n",
|
||
"[2024-11-12 21:00:00] 策略 (SHFE_rb2501): 3344.0 69.7 -23.400000000000002\n",
|
||
"[2024-11-12 21:00:00] 策略 (SHFE_rb2501): [2024-11-12 21:00:00] 开多仓信号 - 当前Open=3344.00, 前1Range=41.00, 前7Range=13.00, 计算目标买入价=3297.70\n",
|
||
"[2024-11-12 21:00:00] 策略 (SHFE_rb2501): [2024-11-12 21:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-12 22:00:00] 策略 (SHFE_rb2501): 3333.0 27.2 -34.2\n",
|
||
"[2024-11-12 22:00:00] 策略 (SHFE_rb2501): [2024-11-12 22:00:00] 开多仓信号 - 当前Open=3333.00, 前1Range=16.00, 前7Range=19.00, 计算目标买入价=3340.00\n",
|
||
"[2024-11-12 22:00:00] 策略 (SHFE_rb2501): [2024-11-12 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241112220000_250 @ 3340.00\n",
|
||
"[2024-11-13 09:00:00] 策略 (SHFE_rb2501): [2024-11-13 09:00:00] 止盈信号 - PnL per unit: 11.00, 目标: 10.00\n",
|
||
"[2024-11-13 10:00:00] 策略 (SHFE_rb2501): 3344.0 34.0 -25.2\n",
|
||
"[2024-11-13 10:00:00] 策略 (SHFE_rb2501): [2024-11-13 10:00:00] 开多仓信号 - 当前Open=3344.00, 前1Range=20.00, 前7Range=14.00, 计算目标买入价=3335.20\n",
|
||
"[2024-11-13 10:00:00] 策略 (SHFE_rb2501): [2024-11-13 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-13 11:00:00] 策略 (SHFE_rb2501): 3350.0 27.2 -23.400000000000002\n",
|
||
"[2024-11-13 11:00:00] 策略 (SHFE_rb2501): [2024-11-13 11:00:00] 开多仓信号 - 当前Open=3350.00, 前1Range=16.00, 前7Range=13.00, 计算目标买入价=3346.20\n",
|
||
"[2024-11-13 11:00:00] 策略 (SHFE_rb2501): [2024-11-13 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-13 13:00:00] 策略 (SHFE_rb2501): 3350.0 18.7 -73.8\n",
|
||
"[2024-11-13 13:00:00] 策略 (SHFE_rb2501): [2024-11-13 13:00:00] 开多仓信号 - 当前Open=3350.00, 前1Range=11.00, 前7Range=41.00, 计算目标买入价=3405.10\n",
|
||
"[2024-11-13 13:00:00] 策略 (SHFE_rb2501): [2024-11-13 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241113130000_254 @ 3405.10\n",
|
||
"[2024-11-13 14:00:00] 策略 (SHFE_rb2501): [2024-11-13 14:00:00] 止损信号 - PnL per unit: -13.00, 目标: -10.00\n",
|
||
"[2024-11-13 21:00:00] 策略 (SHFE_rb2501): 3345.0 57.8 -28.8\n",
|
||
"[2024-11-13 21:00:00] 策略 (SHFE_rb2501): [2024-11-13 21:00:00] 开多仓信号 - 当前Open=3345.00, 前1Range=34.00, 前7Range=16.00, 计算目标买入价=3316.00\n",
|
||
"[2024-11-13 21:00:00] 策略 (SHFE_rb2501): [2024-11-13 21:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-13 22:00:00] 策略 (SHFE_rb2501): 3341.0 18.7 -36.0\n",
|
||
"[2024-11-13 22:00:00] 策略 (SHFE_rb2501): [2024-11-13 22:00:00] 开多仓信号 - 当前Open=3341.00, 前1Range=11.00, 前7Range=20.00, 计算目标买入价=3358.30\n",
|
||
"[2024-11-13 22:00:00] 策略 (SHFE_rb2501): [2024-11-13 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241113220000_257 @ 3358.30\n",
|
||
"[2024-11-14 09:00:00] 策略 (SHFE_rb2501): [2024-11-14 09:00:00] 止损信号 - PnL per unit: -10.00, 目标: -10.00\n",
|
||
"[2024-11-14 10:00:00] 策略 (SHFE_rb2501): 3331.0 30.599999999999998 -19.8\n",
|
||
"[2024-11-14 10:00:00] 策略 (SHFE_rb2501): [2024-11-14 10:00:00] 开多仓信号 - 当前Open=3331.00, 前1Range=18.00, 前7Range=11.00, 计算目标买入价=3320.20\n",
|
||
"[2024-11-14 10:00:00] 策略 (SHFE_rb2501): [2024-11-14 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241114100000_259 @ 3320.20\n",
|
||
"[2024-11-14 21:00:00] 策略 (SHFE_rb2501): [2024-11-14 21:00:00] 止损信号 - PnL per unit: -10.20, 目标: -10.00\n",
|
||
"[2024-11-14 22:00:00] 策略 (SHFE_rb2501): 3310.0 30.599999999999998 -32.4\n",
|
||
"[2024-11-14 22:00:00] 策略 (SHFE_rb2501): [2024-11-14 22:00:00] 开多仓信号 - 当前Open=3310.00, 前1Range=18.00, 前7Range=18.00, 计算目标买入价=3311.80\n",
|
||
"[2024-11-14 22:00:00] 策略 (SHFE_rb2501): [2024-11-14 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241114220000_261 @ 3311.80\n",
|
||
"[2024-11-15 09:00:00] 策略 (SHFE_rb2501): [2024-11-15 09:00:00] 止损信号 - PnL per unit: -47.00, 目标: -10.00\n",
|
||
"[2024-11-15 10:00:00] 策略 (SHFE_rb2501): 3263.0 74.8 -34.2\n",
|
||
"[2024-11-15 10:00:00] 策略 (SHFE_rb2501): [2024-11-15 10:00:00] 开多仓信号 - 当前Open=3263.00, 前1Range=44.00, 前7Range=19.00, 计算目标买入价=3222.40\n",
|
||
"[2024-11-15 10:00:00] 策略 (SHFE_rb2501): [2024-11-15 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-15 11:00:00] 策略 (SHFE_rb2501): 3274.0 25.5 -37.800000000000004\n",
|
||
"[2024-11-15 11:00:00] 策略 (SHFE_rb2501): [2024-11-15 11:00:00] 开多仓信号 - 当前Open=3274.00, 前1Range=15.00, 前7Range=21.00, 计算目标买入价=3286.30\n",
|
||
"[2024-11-15 11:00:00] 策略 (SHFE_rb2501): [2024-11-15 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241115110000_264 @ 3286.30\n",
|
||
"[2024-11-15 14:00:00] 策略 (SHFE_rb2501): [2024-11-15 14:00:00] 止损信号 - PnL per unit: -42.00, 目标: -10.00\n",
|
||
"[2024-11-15 21:00:00] 策略 (SHFE_rb2501): 3243.0 62.9 -48.6\n",
|
||
"[2024-11-15 21:00:00] 策略 (SHFE_rb2501): [2024-11-15 21:00:00] 开多仓信号 - 当前Open=3243.00, 前1Range=37.00, 前7Range=27.00, 计算目标买入价=3228.70\n",
|
||
"[2024-11-15 21:00:00] 策略 (SHFE_rb2501): [2024-11-15 21:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-15 22:00:00] 策略 (SHFE_rb2501): 3245.0 18.7 -79.2\n",
|
||
"[2024-11-15 22:00:00] 策略 (SHFE_rb2501): [2024-11-15 22:00:00] 开多仓信号 - 当前Open=3245.00, 前1Range=11.00, 前7Range=44.00, 计算目标买入价=3305.50\n",
|
||
"[2024-11-15 22:00:00] 策略 (SHFE_rb2501): [2024-11-15 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241115220000_267 @ 3305.50\n",
|
||
"[2024-11-18 09:00:00] 策略 (SHFE_rb2501): [2024-11-18 09:00:00] 止盈信号 - PnL per unit: 23.00, 目标: 10.00\n",
|
||
"[2024-11-18 10:00:00] 策略 (SHFE_rb2501): 3268.0 57.8 -18.0\n",
|
||
"[2024-11-18 10:00:00] 策略 (SHFE_rb2501): [2024-11-18 10:00:00] 开多仓信号 - 当前Open=3268.00, 前1Range=34.00, 前7Range=10.00, 计算目标买入价=3228.20\n",
|
||
"[2024-11-18 10:00:00] 策略 (SHFE_rb2501): [2024-11-18 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-18 11:00:00] 策略 (SHFE_rb2501): 3282.0 30.599999999999998 -18.0\n",
|
||
"[2024-11-18 11:00:00] 策略 (SHFE_rb2501): [2024-11-18 11:00:00] 开多仓信号 - 当前Open=3282.00, 前1Range=18.00, 前7Range=10.00, 计算目标买入价=3269.40\n",
|
||
"[2024-11-18 11:00:00] 策略 (SHFE_rb2501): [2024-11-18 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-18 13:00:00] 策略 (SHFE_rb2501): 3284.0 22.099999999999998 -66.60000000000001\n",
|
||
"[2024-11-18 13:00:00] 策略 (SHFE_rb2501): [2024-11-18 13:00:00] 开多仓信号 - 当前Open=3284.00, 前1Range=13.00, 前7Range=37.00, 计算目标买入价=3328.50\n",
|
||
"[2024-11-18 13:00:00] 策略 (SHFE_rb2501): [2024-11-18 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241118130000_271 @ 3328.50\n",
|
||
"[2024-11-19 09:00:00] 策略 (SHFE_rb2501): [2024-11-19 09:00:00] 止损信号 - PnL per unit: -10.00, 目标: -10.00\n",
|
||
"[2024-11-19 10:00:00] 策略 (SHFE_rb2501): 3274.0 30.599999999999998 -23.400000000000002\n",
|
||
"[2024-11-19 10:00:00] 策略 (SHFE_rb2501): [2024-11-19 10:00:00] 开多仓信号 - 当前Open=3274.00, 前1Range=18.00, 前7Range=13.00, 计算目标买入价=3266.80\n",
|
||
"[2024-11-19 10:00:00] 策略 (SHFE_rb2501): [2024-11-19 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241119100000_273 @ 3266.80\n",
|
||
"[2024-11-19 11:00:00] 策略 (SHFE_rb2501): [2024-11-19 11:00:00] 止盈信号 - PnL per unit: 21.20, 目标: 10.00\n",
|
||
"[2024-11-19 13:00:00] 策略 (SHFE_rb2501): 3287.0 42.5 -30.6\n",
|
||
"[2024-11-19 13:00:00] 策略 (SHFE_rb2501): [2024-11-19 13:00:00] 开多仓信号 - 当前Open=3287.00, 前1Range=25.00, 前7Range=17.00, 计算目标买入价=3275.10\n",
|
||
"[2024-11-19 13:00:00] 策略 (SHFE_rb2501): [2024-11-19 13:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-19 14:00:00] 策略 (SHFE_rb2501): 3289.0 22.099999999999998 -21.6\n",
|
||
"[2024-11-19 14:00:00] 策略 (SHFE_rb2501): [2024-11-19 14:00:00] 开多仓信号 - 当前Open=3289.00, 前1Range=13.00, 前7Range=12.00, 计算目标买入价=3288.50\n",
|
||
"[2024-11-19 14:00:00] 策略 (SHFE_rb2501): [2024-11-19 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241119140000_276 @ 3288.50\n",
|
||
"[2024-11-19 21:00:00] 策略 (SHFE_rb2501): [2024-11-19 21:00:00] 止盈信号 - PnL per unit: 26.50, 目标: 10.00\n",
|
||
"[2024-11-19 22:00:00] 策略 (SHFE_rb2501): 3315.0 18.7 -32.4\n",
|
||
"[2024-11-19 22:00:00] 策略 (SHFE_rb2501): [2024-11-19 22:00:00] 开多仓信号 - 当前Open=3315.00, 前1Range=11.00, 前7Range=18.00, 计算目标买入价=3328.70\n",
|
||
"[2024-11-19 22:00:00] 策略 (SHFE_rb2501): [2024-11-19 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241119220000_278 @ 3328.70\n",
|
||
"[2024-11-20 10:00:00] 策略 (SHFE_rb2501): [2024-11-20 10:00:00] 止盈信号 - PnL per unit: 10.00, 目标: 10.00\n",
|
||
"[2024-11-20 11:00:00] 策略 (SHFE_rb2501): 3325.0 32.3 -23.400000000000002\n",
|
||
"[2024-11-20 11:00:00] 策略 (SHFE_rb2501): [2024-11-20 11:00:00] 开多仓信号 - 当前Open=3325.00, 前1Range=19.00, 前7Range=13.00, 计算目标买入价=3316.10\n",
|
||
"[2024-11-20 11:00:00] 策略 (SHFE_rb2501): [2024-11-20 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-20 13:00:00] 策略 (SHFE_rb2501): 3324.0 18.7 -77.4\n",
|
||
"[2024-11-20 13:00:00] 策略 (SHFE_rb2501): [2024-11-20 13:00:00] 开多仓信号 - 当前Open=3324.00, 前1Range=11.00, 前7Range=43.00, 计算目标买入价=3382.70\n",
|
||
"[2024-11-20 13:00:00] 策略 (SHFE_rb2501): [2024-11-20 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241120130000_281 @ 3382.70\n",
|
||
"[2024-11-21 11:00:00] 策略 (SHFE_rb2501): [2024-11-21 11:00:00] 止盈信号 - PnL per unit: 10.00, 目标: 10.00\n",
|
||
"[2024-11-21 13:00:00] 策略 (SHFE_rb2501): 3336.0 30.599999999999998 -25.2\n",
|
||
"[2024-11-21 13:00:00] 策略 (SHFE_rb2501): [2024-11-21 13:00:00] 开多仓信号 - 当前Open=3336.00, 前1Range=18.00, 前7Range=14.00, 计算目标买入价=3330.60\n",
|
||
"[2024-11-21 13:00:00] 策略 (SHFE_rb2501): [2024-11-21 13:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-21 14:00:00] 策略 (SHFE_rb2501): 3334.0 13.6 -52.2\n",
|
||
"[2024-11-21 14:00:00] 策略 (SHFE_rb2501): [2024-11-21 14:00:00] 开多仓信号 - 当前Open=3334.00, 前1Range=8.00, 前7Range=29.00, 计算目标买入价=3372.60\n",
|
||
"[2024-11-21 14:00:00] 策略 (SHFE_rb2501): [2024-11-21 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241121140000_284 @ 3372.60\n",
|
||
"[2024-11-22 09:00:00] 策略 (SHFE_rb2501): [2024-11-22 09:00:00] 止损信号 - PnL per unit: -14.00, 目标: -10.00\n",
|
||
"[2024-11-22 10:00:00] 策略 (SHFE_rb2501): 3320.0 25.5 -32.4\n",
|
||
"[2024-11-22 10:00:00] 策略 (SHFE_rb2501): [2024-11-22 10:00:00] 开多仓信号 - 当前Open=3320.00, 前1Range=15.00, 前7Range=18.00, 计算目标买入价=3326.90\n",
|
||
"[2024-11-22 10:00:00] 策略 (SHFE_rb2501): [2024-11-22 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241122100000_286 @ 3326.90\n",
|
||
"[2024-11-22 11:00:00] 策略 (SHFE_rb2501): [2024-11-22 11:00:00] 止损信号 - PnL per unit: -41.00, 目标: -10.00\n",
|
||
"[2024-11-22 13:00:00] 策略 (SHFE_rb2501): 3274.0 42.5 -43.2\n",
|
||
"[2024-11-22 13:00:00] 策略 (SHFE_rb2501): [2024-11-22 13:00:00] 开多仓信号 - 当前Open=3274.00, 前1Range=25.00, 前7Range=24.00, 计算目标买入价=3274.70\n",
|
||
"[2024-11-22 13:00:00] 策略 (SHFE_rb2501): [2024-11-22 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241122130000_288 @ 3274.70\n",
|
||
"[2024-11-22 21:00:00] 策略 (SHFE_rb2501): [2024-11-22 21:00:00] 止盈信号 - PnL per unit: 21.00, 目标: 10.00\n",
|
||
"[2024-11-22 22:00:00] 策略 (SHFE_rb2501): 3295.0 35.699999999999996 -27.0\n",
|
||
"[2024-11-22 22:00:00] 策略 (SHFE_rb2501): [2024-11-22 22:00:00] 开多仓信号 - 当前Open=3295.00, 前1Range=21.00, 前7Range=15.00, 计算目标买入价=3286.30\n",
|
||
"[2024-11-22 22:00:00] 策略 (SHFE_rb2501): [2024-11-22 22:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-25 09:00:00] 策略 (SHFE_rb2501): 3320.0 85.0 -72.0\n",
|
||
"[2024-11-25 09:00:00] 策略 (SHFE_rb2501): [2024-11-25 09:00:00] 开多仓信号 - 当前Open=3320.00, 前1Range=50.00, 前7Range=40.00, 计算目标买入价=3307.00\n",
|
||
"[2024-11-25 09:00:00] 策略 (SHFE_rb2501): [2024-11-25 09:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241125090000_291 @ 3307.00\n",
|
||
"[2024-11-25 11:00:00] 策略 (SHFE_rb2501): [2024-11-25 11:00:00] 止损信号 - PnL per unit: -19.00, 目标: -10.00\n",
|
||
"[2024-11-25 13:00:00] 策略 (SHFE_rb2501): 3290.0 37.4 -21.6\n",
|
||
"[2024-11-25 13:00:00] 策略 (SHFE_rb2501): [2024-11-25 13:00:00] 开多仓信号 - 当前Open=3290.00, 前1Range=22.00, 前7Range=12.00, 计算目标买入价=3274.20\n",
|
||
"[2024-11-25 13:00:00] 策略 (SHFE_rb2501): [2024-11-25 13:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-25 14:00:00] 策略 (SHFE_rb2501): 3287.0 17.0 -37.800000000000004\n",
|
||
"[2024-11-25 14:00:00] 策略 (SHFE_rb2501): [2024-11-25 14:00:00] 开多仓信号 - 当前Open=3287.00, 前1Range=10.00, 前7Range=21.00, 计算目标买入价=3307.80\n",
|
||
"[2024-11-25 14:00:00] 策略 (SHFE_rb2501): [2024-11-25 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241125140000_294 @ 3307.80\n",
|
||
"[2024-11-25 21:00:00] 策略 (SHFE_rb2501): [2024-11-25 21:00:00] 止盈信号 - PnL per unit: 16.00, 目标: 10.00\n",
|
||
"[2024-11-25 22:00:00] 策略 (SHFE_rb2501): 3303.0 22.099999999999998 -32.4\n",
|
||
"[2024-11-25 22:00:00] 策略 (SHFE_rb2501): [2024-11-25 22:00:00] 开多仓信号 - 当前Open=3303.00, 前1Range=13.00, 前7Range=18.00, 计算目标买入价=3313.30\n",
|
||
"[2024-11-25 22:00:00] 策略 (SHFE_rb2501): [2024-11-25 22:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241125220000_296 @ 3313.30\n",
|
||
"[2024-11-26 09:00:00] 策略 (SHFE_rb2501): [2024-11-26 09:00:00] 止盈信号 - PnL per unit: 20.00, 目标: 10.00\n",
|
||
"[2024-11-26 10:00:00] 策略 (SHFE_rb2501): 3323.0 45.9 -39.6\n",
|
||
"[2024-11-26 10:00:00] 策略 (SHFE_rb2501): [2024-11-26 10:00:00] 开多仓信号 - 当前Open=3323.00, 前1Range=27.00, 前7Range=22.00, 计算目标买入价=3316.70\n",
|
||
"[2024-11-26 10:00:00] 策略 (SHFE_rb2501): [2024-11-26 10:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241126100000_298 @ 3316.70\n",
|
||
"[2024-11-26 13:00:00] 策略 (SHFE_rb2501): [2024-11-26 13:00:00] 止损信号 - PnL per unit: -13.70, 目标: -10.00\n",
|
||
"[2024-11-26 14:00:00] 策略 (SHFE_rb2501): 3303.0 32.3 -23.400000000000002\n",
|
||
"[2024-11-26 14:00:00] 策略 (SHFE_rb2501): [2024-11-26 14:00:00] 开多仓信号 - 当前Open=3303.00, 前1Range=19.00, 前7Range=13.00, 计算目标买入价=3294.10\n",
|
||
"[2024-11-26 14:00:00] 策略 (SHFE_rb2501): [2024-11-26 14:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241126140000_300 @ 3294.10\n",
|
||
"[2024-11-27 09:00:00] 策略 (SHFE_rb2501): [2024-11-27 09:00:00] 止损信号 - PnL per unit: -11.10, 目标: -10.00\n",
|
||
"[2024-11-27 10:00:00] 策略 (SHFE_rb2501): 3283.0 35.699999999999996 -14.4\n",
|
||
"[2024-11-27 10:00:00] 策略 (SHFE_rb2501): [2024-11-27 10:00:00] 开多仓信号 - 当前Open=3283.00, 前1Range=21.00, 前7Range=8.00, 计算目标买入价=3261.70\n",
|
||
"[2024-11-27 10:00:00] 策略 (SHFE_rb2501): [2024-11-27 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-27 11:00:00] 策略 (SHFE_rb2501): 3311.0 51.0 -34.2\n",
|
||
"[2024-11-27 11:00:00] 策略 (SHFE_rb2501): [2024-11-27 11:00:00] 开多仓信号 - 当前Open=3311.00, 前1Range=30.00, 前7Range=19.00, 计算目标买入价=3294.20\n",
|
||
"[2024-11-27 11:00:00] 策略 (SHFE_rb2501): [2024-11-27 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-27 13:00:00] 策略 (SHFE_rb2501): 3307.0 22.099999999999998 -30.6\n",
|
||
"[2024-11-27 13:00:00] 策略 (SHFE_rb2501): [2024-11-27 13:00:00] 开多仓信号 - 当前Open=3307.00, 前1Range=13.00, 前7Range=17.00, 计算目标买入价=3315.50\n",
|
||
"[2024-11-27 13:00:00] 策略 (SHFE_rb2501): [2024-11-27 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241127130000_304 @ 3315.50\n",
|
||
"[2024-11-28 09:00:00] 策略 (SHFE_rb2501): [2024-11-28 09:00:00] 止损信号 - PnL per unit: -20.00, 目标: -10.00\n",
|
||
"[2024-11-28 10:00:00] 策略 (SHFE_rb2501): 3287.0 42.5 -23.400000000000002\n",
|
||
"[2024-11-28 10:00:00] 策略 (SHFE_rb2501): [2024-11-28 10:00:00] 开多仓信号 - 当前Open=3287.00, 前1Range=25.00, 前7Range=13.00, 计算目标买入价=3267.90\n",
|
||
"[2024-11-28 10:00:00] 策略 (SHFE_rb2501): [2024-11-28 10:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-28 11:00:00] 策略 (SHFE_rb2501): 3292.0 28.9 -14.4\n",
|
||
"[2024-11-28 11:00:00] 策略 (SHFE_rb2501): [2024-11-28 11:00:00] 开多仓信号 - 当前Open=3292.00, 前1Range=17.00, 前7Range=8.00, 计算目标买入价=3277.50\n",
|
||
"[2024-11-28 11:00:00] 策略 (SHFE_rb2501): [2024-11-28 11:00:00] 策略: 发送订单失败。\n",
|
||
"[2024-11-28 13:00:00] 策略 (SHFE_rb2501): 3288.0 13.6 -19.8\n",
|
||
"[2024-11-28 13:00:00] 策略 (SHFE_rb2501): [2024-11-28 13:00:00] 开多仓信号 - 当前Open=3288.00, 前1Range=8.00, 前7Range=11.00, 计算目标买入价=3294.20\n",
|
||
"[2024-11-28 13:00:00] 策略 (SHFE_rb2501): [2024-11-28 13:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241128130000_308 @ 3294.20\n",
|
||
"[2024-11-28 14:00:00] 策略 (SHFE_rb2501): [2024-11-28 14:00:00] 止盈信号 - PnL per unit: 24.00, 目标: 10.00\n",
|
||
"[2024-11-28 21:00:00] 策略 (SHFE_rb2501): 3309.0 18.7 -23.400000000000002\n",
|
||
"[2024-11-28 21:00:00] 策略 (SHFE_rb2501): [2024-11-28 21:00:00] 开多仓信号 - 当前Open=3309.00, 前1Range=11.00, 前7Range=13.00, 计算目标买入价=3313.70\n",
|
||
"[2024-11-28 21:00:00] 策略 (SHFE_rb2501): [2024-11-28 21:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241128210000_310 @ 3313.70\n",
|
||
"[2024-11-29 10:00:00] 策略 (SHFE_rb2501): [2024-11-29 10:00:00] 止盈信号 - PnL per unit: 28.00, 目标: 10.00\n",
|
||
"[2024-11-29 11:00:00] 策略 (SHFE_rb2501): 3337.0 45.9 -55.800000000000004\n",
|
||
"[2024-11-29 11:00:00] 策略 (SHFE_rb2501): [2024-11-29 11:00:00] 开多仓信号 - 当前Open=3337.00, 前1Range=27.00, 前7Range=31.00, 计算目标买入价=3346.90\n",
|
||
"[2024-11-29 11:00:00] 策略 (SHFE_rb2501): [2024-11-29 11:00:00] 策略: 发送限价买入订单 SHFE_rb2501_BUY_20241129110000_312 @ 3346.90\n",
|
||
"[2024-11-29 14:00:00] 策略 (SHFE_rb2501): [2024-11-29 14:00:00] 止损信号 - PnL per unit: -19.00, 目标: -10.00\n",
|
||
"[2024-11-29 21:00:00] 策略 (SHFE_rb2501): 3318.0 40.8 -18.0\n",
|
||
"[2024-11-29 21:00:00] 策略 (SHFE_rb2501): [2024-11-29 21:00:00] 开多仓信号 - 当前Open=3318.00, 前1Range=24.00, 前7Range=10.00, 计算目标买入价=3295.20\n",
|
||
"[2024-11-29 21:00:00] 策略 (SHFE_rb2501): [2024-11-29 21:00:00] 策略: 发送订单失败。\n",
|
||
"Bar 对象流生成完毕。\n",
|
||
"\n",
|
||
"--- 回测片段结束，检查并平仓所有持仓 ---\n",
|
||
"--- 回测结束 ---\n",
|
||
"总计处理了 404 根K线。\n",
|
||
"总计发生了 248 笔交易。\n",
|
||
"最终总净值: 105442.23\n",
|
||
"总收益率: 5.44%\n",
|
||
"\n",
|
||
"回测运行完毕。\n",
|
||
"\n",
|
||
"--- 结果分析器初始化完成 ---\n",
|
||
"正在计算绩效指标...\n",
|
||
"绩效指标计算完成。\n",
|
||
"\n",
|
||
"--- 回测绩效报告 ---\n",
|
||
"初始资金 : 100000.00\n",
|
||
"最终资金 : 105442.23\n",
|
||
"总收益率 : 5.44%\n",
|
||
"年化收益率 : 15.81%\n",
|
||
"最大回撤 : 1.81%\n",
|
||
"夏普比率 : 0.84\n",
|
||
"卡玛比率 : 8.75\n",
|
||
"总交易次数 : 248\n",
|
||
"交易成本 : 3287.77\n",
|
||
"\n",
|
||
"--- 部分交易明细 (最近5笔) ---\n",
|
||
" 2024-11-28 14:00:00 | CLOSE_LONG | SHFE_rb2501 | Vol: 20 | Price: 3306.00 | Commission: 13.22\n",
|
||
" 2024-11-28 21:00:00 | BUY | SHFE_rb2501 | Vol: 20 | Price: 3309.00 | Commission: 13.24\n",
|
||
" 2024-11-29 10:00:00 | CLOSE_LONG | SHFE_rb2501 | Vol: 20 | Price: 3315.00 | Commission: 13.26\n",
|
||
" 2024-11-29 11:00:00 | BUY | SHFE_rb2501 | Vol: 20 | Price: 3337.00 | Commission: 13.35\n",
|
||
" 2024-11-29 14:00:00 | CLOSE_LONG | SHFE_rb2501 | Vol: 20 | Price: 3335.00 | Commission: 13.34\n",
|
||
"正在绘制绩效图表...\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 1400x1000 with 2 Axes>"
|
||
],
|
||
"image/png": 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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 1400x700 with 1 Axes>"
|
||
],
|
||
"image/png": 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LLuHll1/m5ZdfJisriwMPPJDDDjuMU089td76SX6+1q9f72x015TWfL5GjRrltEBwu93k5eVxwAEHcNRRRzW6gRq0/Gtt165d1NTUADBkyJBmXZOOdSIiIiIdh0JbERER6ZLq7qgeCAT2eG4yTKn71u66dn8bc1tIBseZmZmtqpgFmmy7sDfHH388vXr14oMPPmDDhg0MGDCAZ555BmhdlS207nPWVGi+t2NNeffddyktLQXgoYce4uGHH653PBaLAVBSUsLcuXPrVUZPnDiRd955h/fee4/58+ezcOFC5s6dywcffMB9993Hgw8+yOGHH+6cf/XVV3PWWWfx7rvv8vnnn7NgwQJmzZrFrFmzOPDAA5kxY4azvpJVpU1Vp9bVVPjdUqNHj8Y0TSzLYsmSJSkLbVtr2LBhvPHGG3z44Yd88sknLFy4kM8//5xPPvmEBx98kD//+c+ceuqpQO3XRnFxMZMnT97juHXD6eY65phjuPzyy1t0TWu/1loiHetEREREOg6FtiIiItIl5efnk5mZSU1NDevXr6+3I3tdu3btct7Onoogq2fPnkB8U6GmNHYsuZGZYRjceuut7RIUJ7ndbn784x9z77338swzz3DmmWfy4Ycfkp+fz8knn9zm90/2/d3T52zz5s0tHjfZGgH2/rb5F154oUE7C7/fzwknnMAJJ5wAxKsZ7733Xp577jmuv/563n333Xrn9+/fn2nTpjFt2jQAFi9ezDXXXMOSJUv4xz/+wRVXXAHE19k333zDD3/4Q2fstpaXl8fEiRP59NNPeemllzjuuONSMm7yz273vsB1JY/V7e8M8XU3ZcoUpkyZAsR7CU+fPp0HHniAP/zhDxx77LFkZmY6Xxv5+fkt3oCto8jPzycjI4NAIMCaNWua/H5UVzrWiYiIiHQc6mkrIiIiXVJyAyiAN998s8nzksfy8vIa3SW+pcaMGUNmZiY7d+5k7ty5DY7v2LGDDz/8sMHzvXr1YuTIkVRXV9frLdtepk6dis/nY9asWUyfPh3btjnjjDOafHt4KiU3XZszZ06jGyq9//77Ld5oacuWLc7n/7XXXmPFihWN/vfaa68B8M477+z1LeYFBQVcc801QDxE3tucxo4dy09+8hMAli1b5jyfDIdff/31Fr2m5CZn0Wi0Rdcl/fznPwfir/V///vfHs+1bZvPPvtsr2Mmv8bmzJnjbMhW11dffcWyZcswTbPB5nq7y87O5vLLLyc3N5dAIMDatWuBeP/bHj16sGrVKlauXLnXOXVELpeLb33rWwD8+9//btY1rV0nIiIi0jUotBUREZEu66KLLsIwDF599VWef/75BscXLlzIX//6VwAuuOACJxTbF36/n6lTpwJw22231dukLBgMctNNNxEMBhu99te//jUAv/vd73jnnXcaHLdtmy+++KLRMHhfFRQUcPLJJ7Nr1y6ee+45TNN0Ase2dsghhzBq1Ciqq6v54x//SDgcdo5t3bqVO+64o8Vjzpo1i1gsxtixY50N4xozbNgwxowZQyQS4ZVXXgHiFb/PP/88VVVVDc5P/rnk5eU5/Xn/97//MX/+/AabaUUiESeAr9uv98wzz6Rfv3688cYb/OUvf2n0Ptu3b28Q7iUrTlevXr3X19+YI444gp/+9KcAXHnllUyfPr3e5zpp6dKlXHjhhTzxxBN7HXPixIkcdNBBBINBbrzxxnqtSMrKyrjxxhsB+N73vudUsgcCAaZPn95oSP7ZZ59RUVGBy+VyXq/H4+GXv/wltm3zy1/+stEwORaL8fHHH7No0aK9fyLS5Oc//zlut5uZM2cyc+bMBr22N23axNKlS52PW7tOREREpGtQewQRERHpsg455BCuv/56br/9dm644QYeeeQRRo8ejdvtZt26dXz55ZfYts1JJ53ExRdfnLL7XnHFFXz++ecsXryY448/nkMPPRSfz8fnn39OJBLhtNNOY/bs2Q2uO+qoo/j973/PHXfcwaWXXsqgQYMYMmQI2dnZ7Ny5k+XLl1NaWsrPfvazvfb2bI1zzz2XF198EYApU6a0emOzljIMg7/85S9MmzaNV199lU8//ZQJEyYQDAaZN28eo0aNYvz48SxcuLBZwbpt28yaNQuA0047ba/nn3baaSxdupQXX3yR888/n4qKCm644QZuvvlmRo0a5Xwe1q1bx1dffYVhGFxzzTW4XC4APv30U2bMmEGPHj0YPXo0BQUFVFdX88UXX1BaWkqvXr246KKLnPtlZmbyyCOPcMkll/CPf/yDf//734wcOZJevXoRDAZZu3Ytq1evprCwkDPPPNO57qCDDqJnz5589dVXnH766YwYMQK3282QIUPqjb8n1113HXl5eTzwwAPcfvvt3H///Rx00EEUFBRQU1PDihUrnDYVP/vZz5o15t133815553H22+/zdFHH83EiROJRqPMmzePqqoqDjjgACe8hXiYffvtt3PnnXcyYsQIBg0ahMfjYdOmTU7o+vOf/7zeZm/nnHMOmzdv5vHHH+fss89mv/32Y+DAgfj9frZv387y5cupqKjgpptuYty4cc2ad3sbO3Ysf/7zn7nhhhu45ZZbePzxxxkzZgy2bbNhwwaWL1/OL37xC8aMGQO0fp2IiIhI16DQVkRERLq0c889l0MOOYSnn36azz77jA8++IBoNEpBQQFHH300P/jBDzj66KNTes/MzExmzJjBo48+yn/+8x/mzp1LXl4ehx9+OL/+9a956aWX9jjfww47jKeffpp58+bx8ccfY5omRUVF7L///nznO99JWT/S3Y0aNYri4mK2b9/OOeec0yb3aMqIESN48cUXue+++5g7dy5vvfUWffr04dxzz+XSSy91eus2Z6OpTz75hA0bNuDxeDjppJP2ev5JJ53EHXfcwddff83ixYsZOnQo119/PfPnz2flypW8//77QLxf8Wmnnca0adOcYA3gBz/4AX6/n88//5xVq1ZRVlZGTk4Offr04bzzzuPMM89sMO/99tuPV155hWeffZa33nqLFStWsGjRIvLz8+nduzc//elPOfbYY+td4/V6efzxx7nnnntYtGgRy5cvx7IsJk2a1OzQFuKB6CmnnMJzzz3HRx99xFdffUVVVRUZGRkMGDCAo48+mtNPP53Ro0c3a7wBAwYwa9YsnnjiCd566y3ee+89TNNkyJAhnHjiiZx77rn12mxkZmZy8803M3/+fL766is++ugjIpEIPXv25LjjjuPHP/5xvU3ekq699lqOOeYYnnnmGRYsWMCcOXPweDwUFxczadKkNv3aSJXTTjuNMWPGMH36dD755BPeffddfD4fvXr14uyzz+bEE0+sd35r1omIiIh0DYa9+/tyRERERKRb+uijj7jgggsYMmQIr7/+OoZhpHtKQHwjq+OOO46srCw+/fTTdt2kTUREREQkHfQvXhEREREhFotx3333AfH+vu0d2NbU1DS6ydSmTZu45pprsCyL0047TYGtiIiIiHQLqrQVERER6cZefPFFPvvsM5YuXcrXX3/NiBEjeOmll3C727eL1saNGzn66KMZOHAggwcPJjs7m5KSEr788kvC4TCjRo1i5syZzuZfIiIiIiJdmXraioiIiHRj8+fP56WXXiI3N5djjz2W66+/vt0DW4j3qv3pT3/KvHnzWLJkCZWVlfj9fkaOHMlxxx3HtGnTyMjIaPd5iYiIiIikgyptRURERERERERERDoQNQUTERERERERERER6UAU2oqIiIiIiIiIiIh0IAptRURERERERERERDoQbUTWTNu3V6Z7Cu2moCCLsrLqdE9D0kzrQOrSepDdaU1IXVoPAloH0pDWhNSl9SC705qQ3XWnNVFcnLPXc1RpK/UYBrhcJoaR7plIOmkdSF1aD7I7rQmpS+tBQOtAGtKakLq0HmR3WhOyO62JhhTaioiIiIiIiIiIiHQgCm1FREREREREREREOhCFtiIiIiIiIiIiIiIdiEJbERERERERERERkQ5Eoa2IiIiIiIiIiIhIB6LQVkRERERERERERKQDUWgrIiIiIiIiIiIi0oEotBURERERERERERHpQBTaioiIiIiIiIiIiHQgCm1FREREREREREREOhCFtiIiIiIiIiIiIiIdiEJb2aPJkyfywQfvpXsaLfbLX17M3/52d7qnISIiIiIiIiIi0mLudE9A0qe0dAczZjzBRx99yI4d2+jRo4D99hvBz352IfvtNybd0wPg8ccfYfr0xwBwuVwUF/fk29/+DhdddCmZmZlNXnfrrX/B7dbyFhERERERERGRzkepVjdVUrKZSy+9kOzsHH7xiysYOnQ40WiU+fM/5uabb+bpp59P9xQdQ4YM5d57HyIWi7FkyRfcdtstBINBrr329w3OjUQieDwecnPz0jBTERERERERERGRfafQtpu6++7bMQyDxx57koyMDOf5YcOGce65ZxMON37d6tWr+Nvf7mLp0iX4/X6mTDmKyy+/0ql6XbDgMx5++D7WrPkGt9vNkCFD+cMf/kzv3n0AmDPnPaZPf4y1a9dQWFjMiSeexLnn/nSPVbEul5vCwiIAjj76OD77bD4ffvgB8Hsef/wR5sx5nzPOOJMZM55gy5YS5syZzy9/eTH77TeSX/3qKgDC4TD/+MffeeutN9m5s4yePXsxbdr5nHzyaQB8880qHnzwPhYvXojfn8GkSYdy+eVXkZ+fvy+fZhERERERERERkRZTaNsWbBusmva9p5kJhtGsUysqypk372MuvviyeoFtUm5uLjt2VDZ4PhAI8Jvf/JIxYw7kH/94kp07d3L77X/innvu5Pe/v4loNMr111/NKaeczk033UokEmHZsi+B+Ly++GIhf/rTH/j1r69h7NhxbN68kTvvvBWAn/704ma/VJ/PRyQSdT7etGkD7733Dn/+852YpqvRa/70pz+wdOlifvWrqxk+fD9KSjZTXr4LgMrKSq644lJOOeU0rrjiN4RCQR5++H5uvPG33Hff35s9LxERERERERERkVRQaJtqtk3+/OPwlM9r19tG8g9j18Q3mxXcbty4Adu2GThwcIvu8b//vUE4HOaGG25xwt7f/OYarrvuN1x66eW43W6qqqr41rcm069ffwAGDx7iXP/EE49xzjnnc+KJJwPQr19/Lrro5zz00H3NDm2XL1/GW2+9wYQJE53nIpEIN9xwMz169Gj0mvXr1/HOO//jnnse5JBDDnXunfTii88xYsRILrnkF85zv/vdjfzgByexfv06Bg4c1Ky5iYiIiIiIiIiIpIJC27bQzIrXdLHt1l23bt0ahg/fr1517oEHjsOyLNavX8e4cRP43vdO4aqrLmfixEOZOHESRx11LEVF8dYGq1d/zZIlXzBjxhPO9bGYRTgcIhgM4vf7G73vN9+s4thjjyQWs4hGIxx++BH85jfXOsd79+7TZGALsHLl17hcLsaPP7jR46tWrWTBgs849tgjGxzbtGmjQlsREREREREREWlXCm1TzTDiFa8duD3CgAEDMAyD9evXpnwa11//B374w6nMm/cx77zzPx577GHuuedBxow5kJqaABdeeDFTphzV4Dqv19vkmAMHDuL22/+Ky+WiqKgYj8dT77jf37DFQ10+n2+PxwOBAEcccSSXXnpFg2PJXroiIiIiIiIiIiLtRaFtWzAMcGWlexZNys3NY9Kkw5k163l++MOzGvS1raioINmHtq5Bg4bw2mv/IRAIONcsWbII0zTrVaOOGDGKESNGMW3aBVxyyQW89dYbjBlzICNHjmT9+nX07z+gRfN1uz0tvqauYcOGY1kWCxd+7rRHqGvEiJG8//479O7dZ48boomIiIiIiIiIiLQHM90TkPT4zW+uxbJi/Oxn5/Hee2+zYcN61q5dw/PPP8vUqVMbvea4407E6/Xy5z//gW++WcWCBZ9xzz1/4fjjv0dBQSGbN2/i739/gKVLF7NlSwmffvoJGzeuZ9CgeF/b88//GW+88f944olH+eab1axdu4a33nqTRx99qE1fa58+fTnxxJO57bZb+OCD99i8eRMLFnzG22//D4AzzjiTiooKbrrp9yxb9iWbNm1k3ryPufXWm4nFYm06NxGRDs2KgG2lexYiIiIiIiLdjsoKu6l+/frz+OMzmTHjcR544F5KS3eQn9+DkSNHcdNNNzV6jd/v569/fYC//e0uLrroPPx+P1OmHMXll1/pHF+3bi2vv/4fKirKKSws4gc/OJNTT/0BAIceejh33nkv//znY8yc+SRut5uBAwdzyimntfnrveqq3/Loow9y9923U1FRTq9evZk27QIAioqKefjhx3n44fu58spfEomE6d27D4ceejimqd9riEg3ZYXp8dEkbG8xuyb9L92zERERERER6VYM227ttlTdy/btlemeQrswDCgqymHHjspWb1gmnZ/WgdSl9dA9mYF1FM49EIDtx+wEw+Uc05qQurQeBLQOpCGtCalL60F2pzUhu+tua6K4OGev56iMUERERBowYnU21IwF0jcRERERERGRbkihrYiIiDRgxKprH1sKbUVERERERNqTQlsRERFpoG6lbb2qWxEREREREWlzCm1FRESkgXqVtmqPICIiIiIi0q4U2oqIiEgDqrQVERERERFJH4W2IiIi0kC90FY9bUVERERERNqVQlsRERFpqE57BFRpKyIiIiIi0q4U2oqIiEgD9dsjqNJWRERERESkPSm0FRERkQbqbURmqdJWRERERESkPSm0FRERkQbqhbaqtBUREREREWlXCm1FRESkgfrtEVRpKyIiIiIi0p4U2oqIiEgD9dsjqNJWRERERESkPSm0FRERkQbqVdeq0lZERERERKRdKbQVERGRBuq3R1ClrYiIiIiISHtSaCsiIiINaCMyERERERGR9FFoKyIiIg3Uq7S11B5BRERERESkPSm0FRERkQZUaSsiIiIiIpI+Cm1FRESkIW1EJiIiIiIikjYKbUVERKSB+u0RVGkrIiIiIiLSnhTaioiISH22vVt7BFXaioiIiIiItCeFtiIiIlKfFcLAcj5UT1sREREREZH2pdBWRERE6qlbZQtqjyAiIiIiItLeFNqKiIhIPQ1CW7VHEBERERERaVcKbUVERKSeBiGt2iOIiIiIiIi0K4W2IiIiUk+y0tY23PGPrRqw7XROSUREREREpFtRaCsiIiL1JCttLU9h/GM7BnYknVMSERERERHpVjpUaPvMM89wyimnMGHCBCZMmMDUqVN5//33652zcOFCzj33XMaNG8eECRM4++yzCQaDzvFdu3Zx1VVXMWHCBCZOnMj1119PdXX93nzLly/nJz/5CQceeCBTpkzhsccea5fXJyIi0hk4lbbe4jrPqa+tiIiIiIhIe+lQoW3v3r25+uqrmTVrFi+++CKHHXYYv/jFL1i5ciUQD2wvuugiJk+ezPPPP88LL7zA2WefjWnWvoyrr76aVatWMX36dP7+97/z2WefceONNzrHq6qquPDCC+nbty+zZs3i2muv5YEHHuC5555r99crIiLSEdVW2uZjG67Ec+prKyIiIiIi0l7c6Z5AXUcddVS9j6+88kr+9a9/sWjRIvbbbz9uu+02pk2bxsUXX+ycM3ToUOfx6tWrmTNnDi+88AIHHnggADfccAMXX3wx1157Lb169eKVV14hEolw66234vV62W+//Vi2bBnTp09n6tSp7fNCRUREOrJEaGu7MrHNTIxYJViqtBUREREREWkvHSq0rSsWi/HGG29QU1PD+PHjKS0t5YsvvuCUU07hrLPOYv369QwdOpRf//rXTJw4EYhX4ubm5jqBLcC3vvUtTNNk8eLFHHvssSxatIiJEyfi9XqdcyZPnsxjjz1GeXk5eXl5Tc7JMNru9XYUydfYHV6rNE3rQOrSeuh+TCvRVsiVBa4MiFViWgHs3daC1oSA1oPEaR3I7rQmpC6tB9md1oTsTmuioQ4X2q5YsYKzzjqLUChEZmYmDz74IMOHD2fRokUAPPDAA1x77bXsv//+zJ49m/PPP5///Oc/DB48mB07dlBQUFBvPLfbTV5eHtu3bwdgx44d9O/fv945RUVFzrGmQtuCgixcrg7VTaJNFRbmpHsK0gFoHUhdWg/dyLYYAL6sPKjKgjD0yDGgqP4a0JqQurQeBLQOpCGtCalL60F2pzUhu9OaqNXhQtshQ4Ywe/ZsKisrefPNN7nuuut4+umnsSwLgKlTp3LGGWcAMHr0aD7++GNefPFFrrrqqjadV1lZdbdI+w0j/gVSWlqJbad7NpIuWgdSl9ZD95NZUUYmEIh48ODHDZSX7iBCJaA1IfVpPQhoHUhDWhNSl9aD7E5rQnbX3dZEUdHew+kOF9p6vV4GDRoEwJgxY1iyZAkzZszgZz/7GQDDhg2rd/6wYcPYvHkzEK+YLSsrq3c8Go1SXl5OcXGxc86OHTvqnZP8OFlx25TusGiSbLt7vV5pnNaB1KX10I1E4+0RbFcWtisj/lyspsGfv9aE1KX1IKB1IA1pTUhdWg+yO60J2Z3WRK0O/35/y7IIh8P079+fnj17smbNmnrH165dS79+/QAYP348FRUVLF261Dn+ySefYFkWY8eOBWDcuHF89tlnRCIR55yPPvqIIUOG7LGfrYiISHdhJDciMzOxzYzEc4F0TklERERERKRb6VCh7d133838+fPZuHEjK1as4O677+bTTz/llFNOwTAMLrzwQp566ineeOMN1q1bx7333ss333zDD3/4QyBedXvkkUfyf//3fyxevJjPP/+cP/7xj5x00kn06tULgFNOOQWPx8Pvf/97Vq5cyWuvvcaMGTO44IIL0vnSRUREOgwjVltpS7LS1lJoKyIiIiIi0l46VHuE0tJSrrvuOrZt20ZOTg4jR47k8ccf54gjjgDg/PPPJxwOc9ttt1FeXs6oUaN44oknGDhwoDPGXXfdxR//+EfOO+88TNPkuOOO44YbbnCO5+Tk8Pjjj3PLLbfwgx/8gB49enDZZZcxderUdn+9IiIiHZFTaevKxHZl1ntORERERERE2l6HCm1vvfXWvZ5z8cUXc/HFFzd5PD8/n7vvvnuPY4waNYpnnnmmxfMTERHpDmorbTOdnrZqjyAiIiIiItJ+OlR7BBEREUm/2krbLGxTlbYiIiIiIiLtTaGtiIiI1FO/PUKi0lY9bUVERERERNqNQlsRERGpL9kewZ3t9LRFlbYiIiIiIiLtRqGtiIiI1FO30hZTPW1FRERERETam0JbERERqcewElW1Zt32CKq0FRERERERaS8KbUVERKSWbWMk2yO4spz2CKq0FRERERERaT8KbUVERKSWFcKwY0BiIzKnPYIqbUVERERERNqLQlsRERFxJKtsYbdKW0uVtiIiIiIiIu1Foa2IiIg4nE3IDC+Ybkj0tEXtEURERERERNqNQlsRERFxOKFtosLWNjPrPS8iIiIiIiJtT6GtiIiIOOpuQhb/f6KnrdojiIiIiIiItBuFtiIiIuJoUGnrUqWtiIiIiIhIe1NoKyIiIo4mK23V01ZERERERKTdKLQVERGRWlYTPW2tANhW2qYlIiIiIiLSnSi0FREREYfTBiER2pKotAXACrb/hERERERERLohhbYiIiLiqG2PkB3/v5lR55haJIiIiIiIiLQHhbYiIiLi2H0jMkw3tuGtd0xERERERETalkJbERERcdRW2mY6zyUfG5YqbUVERERERNqDQlsRERFxGNFkaJvlPGcn+tqqPYKIiIiIiEj7UGgrIiIijgbtEajT11aVtiIiIiIiIu1Coa2IiIg4DKthpS3J9gjqaSsiIiIiItIuFNqKiIiIo9FKW7VHEBERERERaVcKbUVERMSxx43IVGkrIiIiIiLSLhTaioiIiKO20rbORmSJnraGetqKiIiIiIi0C4W2IiIiUqvR9giZ9Y6JiIiIiIhI21JoKyIiIo5kewTqbUSmnrYiIiIiIiLtSaGtiIiIOBrdiMxpj6BKWxERERERkfag0FZEREQcjfa0dTYiU6WtiIiIiIhIe3CnewIiIiKSJrbd4Klke4T6PW2T7RFUaSsiIiIiItIeFNqKiIh0N1aI3MUX4Nv+nyZPqVdpayYqbS1V2oqIiIiIiLQHtUcQERHpZrJX/HaPgW0k5yBsd67zcbLSFrVHEBERERERaReqtBUREelGfJtnkrHxcWwMKsY+RaTHtxqcY3t6gFHn97pOT1u1RxAREREREWkPCm1FRES6CXfFInKW/RqAmqG/I9zr+826zjYTPW3VHkFERERERKRdqD2CiIhId2Db5Cy9GMMKESo6gZqh1zb/UlXaioiIiIiItCuFtiIiIt2Au+Jz3NXLsc0MKsf8vX77g71I9rQ11NNWRERERESkXSi0FRER6QZ8Jf8GINTzJGxPQYuuTVbaokpbERERERGRdqHQVkREpKuzIvi3vABAqPfUll+vnrYiIiIiIiLtSqGtiIhIF+ctexczsgPLU0S48KgWX2+5cwAwI2WgFgkiIiIiIiJtTqGtiIhIF+e0Ruj9AzA9Lb7eyhhCzN8fwwrhLX0n1dMTERERERGR3Si0FRER6cqiVfi2/QeAYJ9WtEYAMAxCPb8PgG/b7BRNTERERERERJqi0FZERKQL823/fxhWDdGMoURzJ7Z6nFCv0wDwbn8drFCKZiciIiIiIiKNUWgrIiLShfm2PA9AqM9UMIxWjxPNm0TM1wczWoGn9N1UTU9EREREREQaodBWRESkC3PVrAYg0uPIfRvIMGtbJGx9eV+nJSIiIiIiInug0FZERKQLM6wwALYrY5/HCidbJGz7fxAL7/N4IiIiIiIi0jiFtiIiIl2YYQUBsE3/Po8VyT8My9sTM7oLtqpFgoiIiIiISFtRaCsiItKVJSptMb37PpbhItTzlPjjDS/s+3giIiIiIiLSKIW2IiIiXVgqK22B2tB2y1spGU9EREREREQaUmgrIiLSVdk2hhWKPzR9KRkyljk0/iC4NSXjiYiIiIiISEMKbUVERLoqu85mYSkKbS1PUfxBLADR6pSMKSIiIiIiIvUptBUREemiklW2kLpKW1xZzlhmpDQ1Y4qIiIiIiEg9Cm1FRES6qjqhbaoqbTEMLE9h/KFCWxERERERkTah0FZERKSLcvrZGl4wjJSNa3vjoa0ZTn1oawY2kLH2bxiR8pSPLSIiIiIi0lkotBUREemijFgQANvlT+m4yUrbtmiPkPnN7WSv/D/8Jc+kfOz25KpcSt6CH+AuX5DuqYiIiIiISCfkTvcEREREpI0kNyIzvKkd1lsQH7YNKm3d1csBMEMlKR+7PflL/oW39C1ivr5U5U1I93RERERERKSTUWgrIiLSRbVdpW0RAGZ4R0rHBXDVfAOAEdmZ8rHbkxneDoCrZlWT57iqV+LfNAPsCAC2t4iaQVeAmdqQXUREREREOh+FtiIiIl1VotLWTnGlreVNbkRWltJxjcgup+WC2elD23ig7apZ3eQ52Suuw1v6Vr3nYt7ehPqd06ZzExERERGRjk89bUVERLqoZKUtKa60tT1tsxGZK7DGeZzqQLi9JVtHuMJbMaKVDU+wQnh2fghAYMDFhAu+C4C37J12m6OIiIiIiHRcCm1FRES6KMNKtEcwfCkdN1lpm+qNyJKtEeJjd/JK20ht64i6ryvJs+tTDCtAzNuLqpF/oWbotQB4y94H2263eYqIiIiISMek0FZERKSrshIbkblSG9omK21TvRFZ3XCz8/e0rRvaNuxr6yl7D4BIwbfBMIjkHYJtZmKGt+Oq+qq9pikiIiIiIh2UQlsREZEuyqm0NTtJpW2gi1TaxqoxrIDzYWN9bb1OaPud+BOml0iPw+sdExERERGR7kuhrYiISFeVqLRNdWhre4oAMCKlYFspG7depa0VgFhgD2d3XHWrbKFhaGtEK3BXLAAgXDDFeT6cCHA9Ze+37QRFRERERKTDU2grIiLSRSUrbUl5pW1BfHw7hhEtT9m45m69XztrtW3D0LZ+ewTPzg8x7BixjCFYGQOd5yOJANezcy5YkbafqIiIiIiIdFgKbUVERLoowwoBqa+0xfSBOyf+MEV9bY1oJa7wVgBsMyP+XCcPbZOf990rbZP9bMMF3633fDRnLJanB2asyqnEbRErSv68KeR/ehTYsZZfLyIiIiIiHYZCWxERka4qEdqmutIWAF+dFgkpYAbWAGB5Con5+8efi5S1ejxP2Qf4Sv6dkrm1lBGJh7bR3PFA/HXUDaC9ifYH4cIpu11oEukxJXHOey2+r7vqSzwVC/GUf4a7cmkrZi4iIiIiIh1Fhwptn3nmGU455RQmTJjAhAkTmDp1Ku+/X9vXbdq0aYwcObLefzfeeGO9MTZv3szFF1/MQQcdxOGHH84dd9xBNBqtd868efM4/fTTGTNmDMceeyyzZs1ql9cnIiLSnmorbf2pHzwR2u5LsFpXsp9tLHMotifRfqG1lbZWlNwvfkLu0oswG9kErK0lq49j/oHEfH2A2mpbI7QVd9VXAER6fLvBtcket05fW9tqdt/gutW5np1zWzd5ERERERHpENzpnkBdvXv35uqrr2bQoEHYts3s2bP5xS9+wUsvvcR+++0HwJlnnskVV1zhXJORkeE8jsViXHLJJRQVFfHss8+ybds2rrvuOjweD7/5zW8A2LBhA5dccglnnXUWd911Fx9//DE33HADxcXFHHnkke37gkVERNpQbWjrTf3gyUrblrRHsC08O+cSyZsErvpBct3Q1ojE++S2tqetq2YlZrQCAHfVV4Qzh7VqnNYyE5W2lreIWOYwXKESXDWriOZNdKpsIzljsb2FDa51+trumkfuoh/j2fkhGCY7D/sYy99nj/etH9p+SGDQL1L1kkREREREpJ11qErbo446iilTpjB48GCGDBnClVdeSWZmJosWLXLO8fv9FBcXO/9lZ2c7x+bOncuqVav4y1/+wv7778+UKVP41a9+xcyZMwmH4ztoP/vss/Tv35/f/va3DBs2jHPOOYfjjz+ef/7zn+38akVERNqY0x6hDSpt/cXxoSM79nJirezlV5H/+cnkfNUwTHRC24yh2J4eABitrOJ1VyysHbf661aNsS/M8HYAbG8Rsczh8XkkKm29O94AasPZ3cUyhxHzD8CwI/i2/z/M6C7MSBme0rf3el9PeZ3QdteHza7QFRERERGRjqdDVdrWFYvFeOONN6ipqWH8+PHO86+++iqvvPIKxcXFfPe73+Wyyy5zqm0XLVrEiBEjKCoqcs6fPHkyN910E6tWrWL06NEsWrSIww8/vN69Jk+ezK233rrXORlGil5cB5Z8jd3htUrTtA6kLq2HzsuwgvEHpi+lf36GQZ32CKXNGtu36WkyNj4OgH/L8wQHXkw0/1DnuDsQD22trKGYsXiVrBnd2ap5eyq/qB23ekW7r93kRmSWtwgMDxAPbV2hEnxbXwYg3PuMxudlGFSPugNfyb+J5o7HXfkFvi2z8FR8Trj/OU3fNFaDqzredsE2PJiRnbirlxHLOSClr60x+h4hoHUgDWlNSF1aD7I7rQnZndZEQx0utF2xYgVnnXUWoVCIzMxMHnzwQYYPj1epnHzyyfTt25eePXuyYsUK7rrrLtasWcMDDzwAwI4dO+oFtoDz8fbt2/d4TlVVFcFgEL+/8WqkgoIsXK4OVZjcpgoLc9I9BekAtA6kLq2HTshrA5CZk0tmUYr//LbE/y7NNCsaH3vbHPAWQN5o2LkAll0Zfz5zINSsJ3/1/8FxH9X+qywY34gsp8+BYGyJn+qqat28A7WbcPlDq/Gn+rXvjR1v65BTOAAYACvBH16Dv/QpsCNQPJn8YY1X2gJQ9GMY/WN8AOuegy2zyKj5gow9vY7tS8COgb8XRv5BsOW/9Ah/BkWHpfKV7ZG+RwhoHUhDWhNSl9aD7E5rQnanNVGrw4W2Q4YMYfbs2VRWVvLmm29y3XXX8fTTTzN8+HCmTp3qnDdy5EiKi4s5//zzWb9+PQMHDmzTeZWVVXeLtN8w4l8gpaWV2Ha6ZyPponUgdWk9dF7ZNZX4gaogBHdUpmxcw4DCRKVtqHILlbuN7d36KrlfnA2A5S0G28K0QoSKT6R6/3vo8eHBGKWfUPHlk4R7nwGxGooCmwAoDffCF84kGwhVbm0w9l7ZFgVlC53+T1b5csq2V7Trr+x71GzDBewKZmF78ukBWOVfQ+VaTKCi7yWEm/m6TGN/CgB75xeUbtsBpq/R8/zr55ANhLPHE8meRBb/JbTxbSoLz0vRq2qavkcIaB1IQ1oTUpfWg+xOa0J2193WRFEzCks6XGjr9XoZNGgQAGPGjGHJkiXMmDGDW265pcG5Bx10EADr1q1j4MCBFBUVsXjx4nrn7NgRf4ticXG8915RUZHzXN1zsrOzm6yyTeoOiybJtrvX65XGaR1IXVoPnY9hxfu524Yv9X92yfYI4dIGY/tKnnUeJ/u7RjOHUXnAo9iePGoG/5qs1X8m6+s/ECo6CVdgLQCWOx/LXYDlKYjPP7KzxfN2Va/GjFVhmxlghzFjlRjBEix/39a9zlYwku0RPIXE/AOwMTBjlRCDmH8goaKToJmvK+YfjOUpwIyU4apYSjTv4EbPcyf62UZyJxDuMZks4puR2ZbdboG1vkcIaB1IQ1oTUpfWg+xOa0J2pzVRq8O/39+yLGcTsd0tW7YMqA1kx40bx9dff01pae1O1h999BHZ2dlOi4Vx48bxySef1Bvno48+Yty4cW0wexERkTRyetq2wUZkidA2GVA6olV4d/wPgJ2T3mHnxDepGnk75RNewfbkAVAz6HJivr64guvJW3gGvi0vAhDLHAKGgZXYiMyM7GzxtJKbkEVzDiSWMRho583IYkHMWBWQ6Gnr8mP5BziHAwMuAbMFvzM3DKK58d7+7ooFTZ6WPBbNm0A0dwK26ccMb0/LRmwiIiIiIrLvOlRoe/fddzN//nw2btzIihUruPvuu/n000855ZRTWL9+PQ8++CBLly5l48aNvP3221x33XUccsghjBo1CohvKDZ8+HCuvfZali9fzpw5c7j33ns5++yz8Xq9AJx11lls2LCBO++8k9WrVzNz5kxef/11zj///DS+chERkdRzKm1Nb+oH98V/YWpGyuo/veO/GFaQaMZQorkHE+1xOIGBl2Fl1AaXuDKpGnU3tuHGu3MOWWv+AkAsY2h8vonQ1tht7OZwJzYhi+YeRCxrZPx21StaPE5rmZF4iG0bbmx3PgCxzGHx51xZBPtNa/GYkdwJAHiaCG2NyC7cNasS5x4MppdI3qT4NTvntvh+IiIiIiKSfh2qPUJpaSnXXXcd27ZtIycnh5EjR/L4449zxBFHUFJSwscff8yMGTOoqamhT58+HHfccVx22WXO9S6Xi7///e/cdNNNTJ06lYyMDE4//XSuuOIK55wBAwbwyCOPcNtttzFjxgx69+7Nn/70J4488sh0vGQREZE2YyQqbe02rLQ1o7vAioDpAcC77WUAwr1O2+Pb8sM9T6LsiIVkfvMX/CUzMewYsez9AZz2CK2rtI2HtpGc8bhdWbD9Ndw17VdtatZpjZB8/dGcA/GWvUug7znYnvwWjxnNmwjUtkDYnbtiEQAx/yBsbyEAkR5H4N35AZ6dcwkOuLDF9xQRERERkfTqUKHtrbfe2uSxPn368PTTT+91jH79+vHYY4/t8ZxDDz2U2bNnt3R6IiIinYsViv+/LSptvT2wMTCw471nfT0hVoNv+5sAhHqduvfpZQyi6oAHqBnyG7yl7xLq/UOgTqWtFYRYAFwZzZuTbdertE2Gpq7qlS19da2WbBdhe4uc52qGXEU0e39Cvc5o1ZjJSltX9QqIVoE7u97xZGuESN6E2mt6TAbifW1FRERERKTz6VDtEURERCR1jERo2yaVtqbLCVfNSLyXvHfHWxhWDTH/IKI545o9lJU5lOCAC52et7YrB9twJ8ZufosEM7AGM1qObfqIZY0ilrkfkJ72CFad0Nb29CDU92xwte7Pwfb1Iubrh4GFJxFK15VsmxDNrRPa5h2MjYErvKV+32HbJmP9w3hK32vVXEREREREpH0otBUREemqnEpbX9sM74m/Fd8Mx0Nb37bZQKLKdg+tEfbKMOr0tW1+iwRPok1ANPsAMD3EskYA4AqVYEQrWj+fFqjXHiGFookq2gYtEmJB3OXz4+fkHlz7vCsTK2NQ/Jqq5c7T7vJPyV5xHXlf/BgjXIqIiIiIiHRMCm1FRES6qNpK27YJbZP9U43IDogF8W5/A2hea4S9sZwq3uaHtrWtEcbH5+fJJ+btBbRfi4RkgF23PUIqJFskuCs+r33SCpG7+BxcoRIsdx6R3HH1rok6G7HVCW0TwbYRqyZj/YMpnaOIiIiIiKSOQlsREZEuqq1D22QLADNcim/rLMxYFTF/f6K5E/d5bNudrLRtfnuEZCAZzTnIec6ptm2nFglGsj2CJ7WhbbL1QbIVAlaY3C+m4dvxX2wzg4qDnmnQ6zaWNQoAd93QtupL53HG+kdaVMksIiIiIiLtR6GtiIhIV9XG7RHsRAsAV3AjWav+CECg/8/2rTVCguUpAFpQaWvbuCsXAYlNyBKSoa273SptG/a0TYVk9bArsJaCuWMpnDMa3443sE0/5eP/TaTgyIbXZMdD27qBdTK0tQ03ZqySjPUPp3SeIiIiIiKSGgptRUREuijDCgJtWWkbD239Gx7FFdpEzD+QwMBLUzJ2S3vamsENmJGd2IaHaPZo53mn0rbm65TMa6/zaKPQ1vbkE8mbBMSDWzO8DdvMoHzcs0QKpjR6TSzZHiHZ09a2cFd9BUDNkGsByFj/MEakPKVzFRERERGRfedO9wRERESkDdh2nfYI/ra5RXIjslglANX73Qyu1Nyrtqdt89ojOK0RskfXqyyOpqk9gp3i9ggAuw5+JV4pa9sAxDKHOX2FG+OEtuGtGJEyjMgujFg1tumjZshv8G2dhbt6ORnrH6Jm2O9SPl8REREREWk9VdqKiIh0RXa49rHpbZNbJFsYAETyDiHU6wcpG9tOjN3cStva1gjj6j3vBJc134AVSdn8mpLciCzVlbYAuDKJ5h1CNH8S0fxJewxsAWx3DjF///il1V87rRGiWfuD6aVmyDUAZH5zB74ts1I/XxERERERaTWFtiIiIl1QssoW2q7S1qoTGlaNuC0lvWydsZOVttFmhrYVXwD1NyEDsHz9sE0/hh3FDG5M2fwaZUUwo7viD9sitG2FZGjtrlqOuzIe2sZyDgAg1PuHBPqeg4FFztIL8W59OW3zFBERERGR+hTaioiIdEV1Qtu2qrSN5h9OJOcgagZfSTR/UkrHblFPW9vG08gmZPEBDCxfbwDM0JZUTrEBMxKvsrUxnPmnWzQruRnZ8tpK2+x4aIthUDX6foJ9zsKwY+QuuQD/xn+CHUvTbEVEREREJEmhrYiISBfk9LM1vGC0zV/3tiePXYfNifeyTbFk64Xm9LQ1QyWY4e3Yhoto9piGY/n6AOAKlaR2krsxwsl+tgVguNr0Xs0Vy94fAHf1clxVS4E6oS2A4aLygIcJ9v4Rhh0lZ9kV9PhoEr6S5xXeioiIiIikkUJbERGRLsiIBQGw62zK1Zm0pNI2uQlZLGsUuDIaHI8lQlsztDl1E2yEmQhtO0prBIBosj1CxRfxvr5ANGe3YNtwUXnAI1TtdwuWpwfumpXkLr2Q3EU/rl+xLSIiIiIi7UahrYiISFeU3Iisk4a2Tk/b5oS2TWxC5ozlhLZt3R4hEdp6Ok5om+xpa0ZKMbCxvD2xvcUNTzTdBAb/mrLJS6ge9n/YZga+HW+Qu/g8sMINzxcRERERkTal0FZERKQL6vyVtvH2CIYVhFjNHs9NbkIW2W0TsiTL1xdoWGlrRMrxbnuVrOXXkD9vCtlf/gIjsqvVczYDG+Jz70CVtrYn36k0ht1aIzR2vjuXmqHXUD7uOWzTj2/7a+QuuQCsSDNvaGNEK/dlyiIiIiIigkJbERGRrilRadtpQ1tXNrbhBvZebbv3SttGNiKLBejx0UTyvjibzA2P4KlYSMbmp+gx79u4Kxa2eL6e0nfJ+ubWxDwaD4/TJZbYjAz2HtomRQq/Q/m4f2GbPnzbXiVv4Q+dnr17krH2HgrfHYB36yutnq+IiIiIiCi0FRER6ZKSlba4/OmdSGsZRpN9bT07PyJz1S0Y0QqM0FZcoRJsDKI5BzY6lOVPVNoGaytt3dVf4wpvxTb9BPpfROX+9xPzD8IVWEv+p8fGN+JqJk/Z++QtmophhQgVn0TNoCta+mrbVLKvLUA0p3mhLUCk8GgqDpqJbWbiLXuXHp9Mxr3z46YvsC0yNjyGgUXWqj9oIzNpE2ZwI1krfotvy4tgW+mejoiIiEibUWgrIiLSBRmJDaRso3NW2gJYiRYJZqSs3vNZK35L1pq7yFtwBt6dHwIQyxoBrqxGx4klKm1doS1g2/ExA2sAiOYcSNX+fyXY/zx2HvYBoeKTMOww2cuvalZLAFfVCvIWTsWwgoSKTqBi7JNgelv3gttILHtUncdj9nBmQ+Gi49h56LtEs0bgCm0m//Pv4d3+RqPnuss/xxXaFH9cszoeqomkkGfH/+jxyWQy1z9E7pIL6PHx4Xi3zlZ4KyIiIl2SQlsREZGuKBHa4uq8oW2jlbZ2DHf1cgA85fPI+fJSoOnWCFDb09awajCi5QC4auKhbSxjSL37VRz0NJanCDO6C8+uPVSVJni3/wfDqiGSN4mKg57qcIEt1LZHsA1XvarbZl+fvT87J72XCLRj+Df9s9HzvFtfjt8nEZ5nrvmLqm0lNWybzFV/Im/hDzEjZUSzRmK583BXLyNv8blkrL033TMUERERSTmFtiIiIl2QU2nbSXvaQp1K2/B25zkzuAHDCmIbHix3HoYVACDaxCZkALgysNz58esTfW1diUrbWOaQ+ucaLkLFJwDg3f7aXufoCqwDIFx4FHTQz3Uk72DChccQGHhZ69tluLMJDPpl/GHlkobHbRtfIrStHPkXLHc+7uoVznMi+8JT9h5Za+7EwCbQ76fsPHQOZZOXEOh/EQD+kufSPEMRERGR1FNoKyIi0hV1gdA2ljkcwKmsjT/+On4saz/KJ8zCcucCEMk/bI9jWb4+AJiheF9bJ7TNGNLg3HDxiQD4tr/utFNoSjK0jWUM2vOLSSfTR/mEWVSP+PM+DRNNtFZwBTdg7Naygp0LcAXXYZuZhHr/IB4QA5lr7tRb12WfuSu/ACDU81SqRt8LLj+2J5/qYdfHj1cvwwiXpnGGIiIiIqmn0FZERKQLSlbadtTqz+aIZsc3zXJVfuk850qEttGskUTzDmHnoe9TPu45onkT9ziW5U+GtiXxcWrWAk2EtgXfxTZ9uAJrcFWv2OO4ZiK0tfwdOLRNEduTRyxjMADuyqX1D65/AYj3wMWVSWDgz7HcubirvsJb+lY7z1S6GlfNNwBEs/ev97ztLSKaaP/hSfS3FhEREekqFNqKiIh0QYYVBDp3pW00J17Z6a760ql4TYa2scz9ALAyhzmVsXuSrLR1hUrACmMGNySubxja4s4m3OPbAHi3v970oLaFKzFOLGNgM15R5xfNORAAd+Xi2idt2wltQ71OjT/lySdScBQAZiJwE2mtZGgbyxza4FikxxEAeHYptBUREZGuRaGtiIhIV2SF4//vxKFtLGsEtuHGjO6qbWvgtEcY0bKxfLWVtq7AegwsbDMTy9ur0fPDxd8DwLeHvrZmqATDjmAbbmezs64ump0MbWv72rqqlkLVKmzTT6joeOd5y50DgBmrat9JSpfjCiRC24zGQtvJgCptRUREpOtRaCsiItIF1VbatnLjqY7A9DkVtcm347sT7QpiWSNbNJTT0zZYgulsQjYYDKPR88OJzcjc5Z9ihHc0eo7LaY3QH0x3i+bTWUVzxgL1Q1vf1tkAhIuOBXe287ydeGxEq9tvgtL1xAK4ghvjDzOHNTgcToS27solGJGdiWuCeLfOhliwvWYpIiIiknIKbUVERLogI1Fpa5veNM9k30RzEn1tq77ECJdiRuKbDUWzhrdonGQlbLzStulNyJzz/f2I5IzDwMa7481GzzE7wyZkKZZsj+CqXh7f7M628W6ZDUA40RohyXZlAWDEKtt1jtK1OL8ccedhewoaHLd9vYhmDsfAxrPrEwByll9J3uJzyVp5Y7vOVURERCSVFNqKiIh0RYlKWzpzpS0QzU72tV2Kq2YlADH/AEgEgs1l+XoDidDW2YRs8B6vSVbb+ra+3OjxZJgU83ePfrYQryq23PkYdhR31XJc1ctx16wE0+t8vpJsV7w9ghFVewRpPaefbcbQJivja1skzMVdsRD/5pkAZGx+CiOyq13mKSIiIpJqCm1FRES6oNr2CJ270jaWHa+0dVd+ibsq2RqhZf1soU6lbXgrrprV8XEa24SsjlCv07Ax8O14A0/p2w2Om8H18bG7UaUthuG0SHBVLnFaI9DneGx3br1TnfYIMbVHkNZz+tnu4evV2Yxs51yyvv6987wRq8a/aUbbTlBERESkjSi0FRER6Yqc9gidvNI2J15p66r5GndVvI9qtDWhrbcYGxPDjuEp/xTYc3sEgFj2aAIDLgEg56srMKL13+bvVNpmdJ9KW6htkeCuXIxvW6IKecAPG5yn9giSCrW/ZGm4CVmSU2lbsRDvzrnYpp/qodcBkLHhEbCibT9RERERkRRTaCsiItIFGU57BF96J7KPLF/fxNvxY3i3/T8AYpktD20x3Vi+XvGHib641l5CW4Dq/f5ALGMwruAGslb+od4xVyBeabu3NgtdTTK09W3/D+6qr7AND/Q/pcF5tjvZHkGVttJ6TnuERjYhS7L8/ep9HdYM+iU1g3+D5SnEFdyAd/t/2nqaIiIiIimn0FZERKQLqt2IrHOHthgG0USLBFdoEwCxrJGtGirZ1xbAxmxehawri8r97wMgY+M/8JTNSQwWxQzFd7S3ulFPW6C2PUIw/vojhd8Bb48G59VW2qqnrbRe7caBTVfaAoQT1baWt5jA4CvBlUGg/4UAZK5/qG0nKSIiItIGFNqKiIh0RV2k0hYglnNAvY9b0x4BavvaQnxDLZrZ7zdS+B0C/S4AIGvVzQCYoU0Ydgzb8NYLg7uDWNYIbKP2cxfqdVqj59muRE9bbUQmrWWFMZMV7XtojwAQHPAzotljqBz9gFPlHRxwEbbhwbPrE9zln7f5dCX1XFVfkb3sSsxEmwwREZHuRKGtiIhIF9RlKm2BaPYY57Hlzsf2FrdqnLrh6t42IdtdzdDfAuAun48R2lqnn+0AMLrZP6dML9Hs/QGwDRfh4u81eprTHkGVttJKrsA6DCxsVxa2t+cez43mjmfn4R8RLj7Rec7y9SbU+wwAMtY/nJpJ2TY5X15K3uengn4h0eayV1xHxsbHyf/sewpuRUSk2+lmP2WIiIh0D8metl0jtB3tPI5ljQDDaNU4dStt97YJWYNr/X2I5I7HwMa3402n+s/KGNSquXR2yb62kR7fxvYWNnqO2iPIvnL62WYMbfXXfWDgpQD4ts7CDJbs85zc5fPwb56Jt+xdslfdtM/jSdPMmm/wlr0PgCtUQv5nJ2PWrEnzrERERNqPQlsREZGuyArF/9/FQtvWtkYAiPn61D5uxeZhyYpS7/bXcQXWxsfxd8/QNtj/p0RyxlGdqEBujO1OtEewQmBF2mtq0oW4AslNyPbcGmFPornjCed/C8OO4t/42D7PKXNdbX/cjA2P4tn50T6PKY3L2PQUAJH8w4hmjcQV2kT+5ydjhrakeWYiIiLtQ6GtiIhIF2QkQtuuUGmLO9upjI3tQ2hr+euEti1sjwAQSoa2pe/grv46Pk53rbTNm8iuwz4g2uPwJs9J9rQFVdtK65g1+x7aAgQGXgZAxsYnIBZo/XwC6/FuewWAcMF3Acj+8jKI1ezT/KQRVgTf5qcBqBn4C8oPfpVo5jBcwQ1krP97micnIiLSPhTaioiIdEVOpa0/vfNIkVDRcdiYRHp8u9VjWHUqba0WtkcAiGWPIebvj2EF8G5/LTHOwFbPp8szvc6GZdqMTJrLu/0NXNUrgd3aI+yDcM+TiPkHYUbK8Jf8u9XjZGx4FAOLcMF3qRg7g5ivL+7AN2StvrXZY3hK39Zb/JvBu+NNXOGtWN5iwsUnYvl6UzPs9/FjW2eDbad3giIiIu1Aoa2IiEgXVFtp603zTFKjeuSdlH5nHdG8Ca0ew/L1xcbAxmxxT1sADMPZ5Miw4xu9dddK2+ZyWiTEqtM8E+kM3OULyFt0JvnzpuDe9UlK2iMAYLgIDLwEgIz1D7Uu8ItW4d/0JBDvk2t78qja/574mOsewFX55V6HcFd8Qf6C08n/7HsQC7Z8Dt2If9M/AQj2PRsSf4+Fi47HNn24A9/gqlqaxtmJiIi0D4W2IiIiXVBtaNs1Km0xDGxP3j4NYXvyqdr/Hqr2/1urxwoVnVjv4+7a07a5ki0SjFhlmmcinYEnsemUGasib8EZtb2j9zW0BYJ9p2G5snFXL8NT9k6Lr/eXPIMZLSeaOYxw0XEAhItPJNTzVAwssr++fq9hsLt8HgCu0Cb8ibf+74mn7AN6fDge3+ZnWjzfzswMbsS74y0Agn3PdZ633TmEC48BwLf15bTMTUREpD0ptBUREemKutBGZKkU7P9Tgv3Pa/X1kYIjsRJBpG1mYHuLUzW1LsmptI2q0lb2zrPrEwAsdy5mrBLDjmGb/nqtTVrL9uQR7HsOAJlr7m7x9Rkb/gHEq2wxan+EqtrvZmzDg7fsXbyl/9vjGO7KJc7jzLV/BStesY8Vxbv1pXptE8zAenIXn4u7ZjXZX/8eulG1un/TU/E2FD2OJJY1vN6xUK/TAPBtU2grIiJdn0JbERGRLqhLbUTWkZg+IoVHAxDLGAiGkeYJdWy1lbbqaSt7YVt4EpWoFQfNJJx/BACxzOH1QtJ9ERj8K2zDi3fnXDxlc5t9nRnagrt6OTYGod5n1jtmZQ4lMPDnAGR9/Xuwok2O465c7Dx2BTfi3zwTrCg5S39G3uLzKPjkW/hKnodYgNwvzsGMlMXvHyklY8MTLXmpnZcdc6qQg/0a/oItXHQCtuHFXb0CV9Xy9p7dvrEiuHfNI/Obv5Cz+AIy1tyNe9ene1wzIiLSvSm0FRER6WpsG8OK90vsMu0ROpBg7zMAiOaOS+9EOgHblQWAEVV7BNkzV/VKzEgZtplBJP9wysc/T/WQa6gaeWfK7mH5+xHsNw2AzDXNH9edqACOZR+A7clvcLxmyDVYngLc1SucXqwNbx7FXfVV/PwBlyTmcDc5X/4c/9YXgXjv59ylF9Jj3pF4KhdheQqpHvrb+Lnr/gaxmvhYto0R2tbs+XcmntJ3cAU3YLnzCfX8foPjtiePcOFRAPi2zm7n2bWMu3wBBR/sT+E7/Sh8px9F7/Shx/xjyVr9R/xbXyR71c30mH8Mhe8PjYe3IiIiu1FoKyIi0tXYkdrHXWQjso4k3Os0dh38/6gacXu6p9Lh2e4cQBuRyd4lWyNE8g6Of99yZ1Mz/P+IFExO6X1qBl+Jbbjxlr2He9e8ls0t/7BGj9uefKqH/g6ArG9ua7Ry0lWzEsMKYblyqN7vJixvT1zB9fi3/BvbcFM+dgbVQ64GwF39NTYmFQdOp2bINcT8AzHD28jY9E+McCm5i35E0QfD45uqdTEZic3egn3OAlfjv3QM9ToV6PgtEnxbnsMV2oQZq0y0+whjeQoI9TyV6mG/J9TzFCx3HmZ0F94db6R7uiIi0gEptBUREeliklW2oErbthIpOBLbW5juaXR4TqWt2iPIXnjK9xyMpoqVMZBg37MByPrmjmZds7fQFuL9si13LmZ4O+6qLxscT7ZGiOWMAVcWNYN+BYBtuKg48AnCvU6jZviNlI9/gUjeRKr2/xuRwu+A6aFmyFUAZK75Kz3mfRvfjv/GP159e5eqYjdC2/Bufw2AYP/zmzwvXPw9bMONu+pLXNUr22l2LecpXwBA1YjbKD1iEaWTl1I65RsqDnqKmqHXUXHQTAKD4+vADG1J51RFRKSDUmgrIiLS1SQ3twFV2kpa1W5EptBW9izZgiCad2ib36tm8G+wDRfe0rdwJ4K1JsWqncB1j4Gy6SGadwhQ+1rqSm5CFs05EIDAwIupHnI15eOeJ5zYXAsgXHQcuya9U2/DxGDfs4n5+2OGt+EKbiCaMZRYxmDM6C78Gx5rzkvuFPybZ2LYUSJ5hxDLHt3kebanh9MiIWPtve00uxayos66CRcdi5U5FCtjYIP+zDFvbwBcCm1FRKQRCm1FRES6GKefreFN2QY+Iq1hu5LtERTaStOM0DbcNauxMYjkT2rz+1mZQwj1jL/F3rv9P3s811P+OYYdJebrh+UfsMdzk6GuZ4+h7dj4E6aPmuE3Eik6Zu8TNr1UD78Z23AR7HU6uw5932nHkLnufugKvxSxbfzJ1gj9zt/r6TVDrgXAv/lp3BVfOM+7qlfi3foS2HabTLO5XNXLMKwAljs3vpleEyxfLwDM0Nb2mpqIiHQi+klORESkq7FCANimL80Tke6udiOyLhAqSZvxlMd7y8ay98f29GiXe0YSlZrenR/u8bza1giHgmHsecz8w+td47Btp+oyWWnbUqE+P2LHd0uoHPsktiePUO8fEc0YihkpJWPjE60asyPx7JyLO/ANliuHYK/T93p+NH8SwV5nYGCT9fXv45/j8vnkz/sOeYvPw1P2TjvMumnJ1gjRnHF7/OWp5YtX2pphVdqKiEhDCm1FRES6GCMR2qLQVtLMaY+gSlvZg9pNyNq2n21d4R5HAOAu/xxigSbPa04/26RI3sHYhiu++VRgg/O8GSrBjJRiGy6iWfu3ftJ1N+Yy3dQMvQaAzHV/g1hN68ftADISbR5CvX8Iie8be1O9303Ypg/vzg/I/OZ28hacjhmL9/j1bdtzBXVbc1ckQtu8CXs8rza03Q5WZI/niohI96PQVkREpIsxYon2CAptJc1sl0Jb2TvPro+BRDVrO7EyhhLz9cGww3jK5zd+kh3DnTgWTVTR7pEry2l/kHxNUGcTsqyR9YPXfRTqfWa8t214O/7N/0rZuO3NDKzHu+0VAAIDL2n2dVbGIAIDfwFA1je3YUYriCVaWHi3v57WFgnJ0DaSu+fQ1vYUYhtuAMzwtjafl4iIdC4KbUVERLoaO74RmUJbSTfL2YisOs0zkQ4rFnB6kkZ6NCMYTRXDIJKotvXsnNvoKa6qZZjRcixXNtHsA5o1bGN9bXffhCxlTA+BfvENy7xpbgewJ0a0kuwvf4l322uNHs/Y8CgGFuGC7+5xA7LG1Az5DZa3GIh/7nce+gG2KwtXaDPuyi/2cnUbiQVxV30JQDT34D2fa5hY3mRfW7VIEBGR+hTaioiIdDHJSlu1R5B0U6Wt7I2rZiWGHcHyFGL5B7XrvSM9JgPgaaKvbTJ4jeYdAqa7eWM6fW3nOc85oW322FbPtcn71X0NtpXy8VPBu3U2GZtnkPvFT/CVPF//YLTK2YAsMPDSFo9tu3MpH/8i1cNvpHz8C9jeQsLJfsXbGw+J25q7cjGGHcXyFmP5++/1fG1GJiIiTVFoKyIi0sUYzkZkqXsbrkhrOKFttDLNM5GOygxvBxK9Pfey0VeqOYFn+XxnA8e6WtLPNimaONdVtRQjUh5/vI+bkO3xfrkTsM1MzEgZrurlKR8/FdxVywAwsMhZ+jN8W2Y5x/wlz2BGy4lmDiNcdFyrxo/mjqNmyNXY7lwAQsXfA8C7/Y19nHnr1GuN0Iw1rc3IRESkKQptRUREuhpnIzJveuch3V7tRmRqjyCNM8OlAFjeona/dyxzPyxvTwwriKf883rHPGUf4Nv2KlBbPdsclq83sYzBGNi4y+djhLbhDnwDtE1oi+lxegE31eYh3VxV8TA5/nmxyFl6IVkrfod3+5tkrH8YSFTZGqn50TRcdBw2Bp7KRZjBTSkZsyU8FfG1FN1LP9sky5sIbUMlbTYnERHpnBTaioiIdDFOpW0KN7wRaY1kpa2p9gjSBDOyAwDLU9j+NzcMwo30tfXs/JC8hWdiWAFCRccTKfh2i4ZNVuZmbJpOj0+/A0A0awS2t21eY21v3sbbPKSbq3oFAJWjHyLY58cYdozM9Q+St+hHuGtWY7nzCPb5ScruZ3uLieZNAtJTbesuj1faNju0TVbaqj2CiIjsRqGtiIhIV5MMbQ1V2kp61au07aD9NiW9jESlbVsFmnuze+DpKX2bvIU/xLBqCBceQ8XYp1pcAZoMbX3bXsUV3Eg0YygVBz6Z2onXvV+izYN351yw7Ta7T6tEKnEFNwAQzd6fygMeonzskwT6nkssYzAAgcG/gsT3ilQJFZ8ItH9fWyNSjrtmJQCRvL1sQpZQG9qqPYKIiNTXvI76IiIi0mkkK21Rpa2kWbLSFuLBre3OSeNspCNy2iOko9KWOn1td80j7/NT8Za9C0C44LuUHzSzVd9HI/nfch6Hep5G5QEPOP1W20Ik72Bs048Z3o6rZiWxrBFtdq8Wq4i3RrC8PZ1gPtzrdMK9To8fj1WDmZny24aLvwerbsK78wOIVqU8FG6Ku3IRADH/QOxmtvzQRmQiItIUVdqKiIh0MYYVBFRpKx2A6cdO/HPTiKpFgjTktEdIQ09bgFjWKCxPAYZVg7fsXWzDTaD/hZSP+xe4Mlo3ZvYoKkfdRcUBf6di7JNtGtgCYPqI5B0CdMC+tuVfARDNGtX4cVdWm2xAF8saScw/AMMK4alYmPLxm+ItfRuASN7EZl+jjchERKQpCm1FRES6Gisc/78qbSXdDMOprjXU11Ya4bRH8KQntMUwCfadFg9r+55L2RELqdr/HnDtW/VncMDFhPr+pE0CycZEGunNuzeuqmV4t/2/tppSXCK0jWWPbNv77M4wiGXF7+mq+aZ97mlb+EqeByCUrCRuhtqNyLaCHWuTqYmISOek9ggiIiJdTG2lrS/NMxFJtEiIliu0lUbVVtqmpz0CQPV+t1C93y3tFrC2BafNw84P431tm/Facr84G3fNKsrHv0C46Li2mdjeKm3bUCxzKJSCK9A+oa1n54e4Qpuw3HmEi45v9nWWtxgbEwMLI7wDO9EuQURERJW2IiIiXYyRqLS1XQptJf1sdxYARrQ6zTORjqi2p22aKm0hHnB24sAWIJJ3CLbhxRUqwWxGSGmEt+OuWQVAxroH225iFYlK23SFtrRdpa1Z8w3EAs7Hvi3/BiDU67SWvdPFdGN5iwFwaTMyERGpQ6GtiIhIV5OotMVUaCvpl9yMzIhVpnkm0uHYFkakLP4wjZW2XYIrg2jewQB4dn6819M95Z87j71l7+KqWpb6OcVqoGoNANHsNIS2GW0X2npK36Hgwwnkf3ZCPLiNBfFtnQ1AqPeZLR7P6Wur0FZEROpQaCsiItLFGFYIAFuhrXQATmirjchkN0ZkJwYWAJZHoe2+iuaMAZrXDsBdsaDexxnrH075fFzVKwEby1OQlp7Fscxh8XkEvom3jEgVK0r2it9hYOGpWEjOsivx7ngTM1pOzNfP6S/coiETLRHM8NbUzVNERDo9hbYiIiJdjRPaaiMyST/bnay0VXsEqc+MJFojuPPA9KR5Np1fzD8AAFdww17PTYa2wV4/AMBf8qyzKVyquKuXx+eVNSot7SdiGQPjvWJj1RjhbSkb1795Bu7qZViuHGxM/CXPkL38GgBCfc4Eo+U/YtduRlaSsnmKiEjnp9BWRESki0lW2qo9gnQEte0RVGkr9ZnhxCZkqrJNCSsR2pqB+qGtWfMNvpJ/11ab2jae8nhoGxh4GZGccRhWkIxN01M6H1fVCiA9rREAMH3O56SpFgmenR/hKZvb7CGNaAVZq/4EQPXw/4tvYAe4wvG2BsFWtEYAtUcQEZHGKbQVERHpYtQeQTqS2vYI6mkr9RmJSlvbm8ZNyLqQmL8/0LDSNmfZleQuvQhfybMAmMENmJEd2IabaM5YAgMvBcC/4TFIbGSZCi6n0nZkysZsKWczssZaRsRqyFvwA/IWnIoRal4lbuaav2JGdhDNHE6w/4UEBl1OsNfpAESzxxDLOaBV86wNbdUeQUREanWo0PaZZ57hlFNOYcKECUyYMIGpU6fy/vvvNzjPtm0uuugiRo4cyVtvvVXv2ObNm7n44os56KCDOPzww7njjjuIRqP1zpk3bx6nn346Y8aM4dhjj2XWrFlt+rpERETalSptpQNRewRpiiptU8vyDwTADG0Gq/bnH3fVl0C8BQKAuyK+CVk0+wBw+Qn1PgPLW4wrVIK37L19moNZswYjshMAV1UitE1XpS11Qtua1Q2OuWpWYVg1GHYEb+nbex3LDG0hY/2DAFSP+HO8pYdhUHnAQ1QN/wMVYx5p9Tyd0DasSlsREanVoULb3r17c/XVVzNr1ixefPFFDjvsMH7xi1+wcuXKeuc9+eSTGI30RYrFYlxyySVEIhGeffZZbr/9dl566SXuu+8+55wNGzZwySWXcOihh/Lyyy9z3nnnccMNNzBnzpw2f30iIiLtQZW20pFoIzJpitPTVpW2KWH5emEbHgw75vRGNaKVmIl+rp6y9zCDJU5rhGjuhPiFppdQr9MA8G59udX3N2tWU/DhOArnjCZr5R+clgSxrDSGthnJ0LZhpa27uvZnTG/pWw2ONzh/1ycYVoho9oGEi06oPeDKIjDkKmI5B7Z6ns5GZKq0FRGROjpUaHvUUUcxZcoUBg8ezJAhQ7jyyivJzMxk0aJFzjnLli3jiSee4NZbb21w/dy5c1m1ahV/+ctf2H///ZkyZQq/+tWvmDlzJuFw/K0+zz77LP379+e3v/0tw4YN45xzzuH444/nn//8Zzu9ShERkTam0FY6kNpKW4W2Up+RqLS1vaq0TQnDxPL3A8AMboz/P7Cm9jA2vq0vOpuQRfMOdo6Fep4GgG/7f8CKtOr2noqFGNgYsWoy196DgQWePKeKNB1qK23XNDjmqhfavg12bI9juau/BiCac2DKN1ar3YhsS23vYRER6fbc6Z5AU2KxGG+88QY1NTWMHz8egEAgwFVXXcWNN95IcXFxg2sWLVrEiBEjKCqq/W395MmTuemmm1i1ahWjR49m0aJFHH744fWumzx5cqMh8O7SsOlpu0u+xu7wWqVpWgdSl9ZD52NGd8UfuLPb5M9Na0Lq2tt6qBvaas10Xa35vmBGkqFtkdZGisT8A3EF1uIOrSdmHI57twpTf8m/MGvWAhDNm+B83qMF38LyFGFGduDdNYdI4VFAIli3bWxfw5+9dpfsGxvJm4gRC+KuWgqFh2KYBqQph7SyanvaGtj1FqgrsMp5bEbK8FQuqhdk785VEw9tY9kjU75ebX+80tawI5jRsi75iwz920F2pzUhu9OaaKjDhbYrVqzgrLPOIhQKkZmZyYMPPsjw4cMBuO222xg/fjzHHHNMo9fu2LGjXmALOB9v3759j+dUVVURDAbx+/2Njl1QkIXL1aEKk9tUYWFOuqcgHYDWgdSl9dBJ2DYkKqvy+h0IOW3356Y1IXU1uR6q4v/u8pkBfEVaM11dy74vlAOQVdCPLK2N1MgfAjs/IMfcRk5RDmzdFH++z4mw5X+4K5fEP3Zl0GPQIWDW+XFw0Bmw6hHyyl+DkadCzSZ4/xAwXHDqenDt5d0bK+MboHkGnw6jfwvbP4K8/Sn0pfHPNj/essCMllOUEwZ/nZ8DQ4lA25MLkQrya+bAsO80PVYwHvJm9TmobdarrwhCOyjMrIT8wakfv4PQvx1kd1oTsjutiVodLrQdMmQIs2fPprKykjfffJPrrruOp59+mnXr1vHJJ5/w0ksvpWVeZWXV3SLtN4z4F0hpaaXemdONaR1IXVoPnYsZLKEgFsA2XJQGCiBUmfJ7aE1IXXtbD56AizwgEiinfEfq16N0DK35vpBftRU3UB7KIqK1kRKZRm8ygUDpaqp3VJK9Yxl+oDpzHO4iA9/21wCI5BxEeVmg3rWevO+RxyNY62ZRNvh2chddhDcU7ztctvFLrKz99njvvJ0r8AAVdj/CpdUYroMo9KX/74oe/v64ghvZtfELovmT4k/aNgXlKzCBQJ9zyFj/EJEN/4/yPr9ufBDborB8OQawMzaAWBus13xPL9yhHZRvWU0kOjjl46eb/u0gu9OakN11tzVR1IxfAHa40Nbr9TJo0CAAxowZw5IlS5gxYwY+n4/169dzyCGH1Dv/8ssvZ+LEiTz11FMUFRWxePHiesd37Ii/7SrZTqGoqMh5ru452dnZTVbZJnWHRZNk293r9UrjtA6kLq2HzsFMvBXW8g/ENjxt+pZUrQmpq6n1YJvxf5AasSqtl26gJd8XjORGZJ4irY0UifkHAOAKrMe2a/9OiGUMJZY5sja0zZ3Q4HMezp+M5SnAjOwga9mVeHe84RwzA5uIZe45tHXVuVfdsdP9d0UsYyiu4EbMmm+w8+KhrRnaihmrxMYk0P8iMtY/hHvXfAjvxPb0aDCGGdyMYdVgGx6i/sFt8ner5esFVV9ihLZ06a+HdK8H6Xi0JmR3WhO1Ovz7/S3LIhwOc/HFF/PKK68we/Zs5z+A3/3ud04/2nHjxvH1119TWlrqXP/RRx+RnZ3ttFgYN24cn3zySb17fPTRR4wbN65dXo+IiEhbcn5oTmy+IpJutjsLACNaneaZSEdjJjYiszxdr39nuiRD2+RGZHX/TggVn4jliv8SJZo7oeHFpodQ8ckAZGx6EgDbiNf4mKFNe7yvEa3EDG+L3ytjyD6+itSq3Yystr+vqzre6sDKGEgsazjRrFEYWHjK3mt0DFf1itqxTE/bzNM/KDHP1W0yvoiIdD4dKrS9++67mT9/Phs3bmTFihXcfffdfPrpp5xyyikUFxczYsSIev8B9O3blwED4v84mTx5MsOHD+faa69l+fLlzJkzh3vvvZezzz4br9cLwFlnncWGDRu48847Wb16NTNnzuT111/n/PPPT9fLFhERSRmFttLR2K7ajchEHLFqDCv+9nzbW7SXk6W5LH9/AFzBDRCrwRXaDMSrTXFlUDXyDoK9fkCo58mNXh/qdarzOJJzEKHeP0yMt+fQ1kz0Urc8RdievH1+HanUaGhbsxKAaKJ6OFwY3zPFu+OtRsdwVyc2Icsa0WbzjOYcEL9X5dI2u4eIiHQuHao9QmlpKddddx3btm0jJyeHkSNH8vjjj3PEEUc063qXy8Xf//53brrpJqZOnUpGRgann346V1xxhXPOgAEDeOSRR7jtttuYMWMGvXv35k9/+hNHHnlkW70sERGRdmMGat+eKtIROKFttDL+XrfusEmA7JUZjr8zzja8zhqRfRdLhLZGrBpP+QIALHc+tqcAgFC/cwj1O6fJ6yMFU4j5+mKGd1B5wIP4tr0KgLmX0LYj/8Iw+fehK1C30jYe2sYSfXrDRceQuf4BvKVvNfp9ypUIbaNZI9tuntljAHBXfdlm9xARkc6lQ4W2yTYHzbVixYoGz/Xr14/HHntsj9cdeuihTnsFERGRrqQj/+As3ZPtToS2WGAFwZWR5hlJR+C0RvAWKchPJVcGlrcYM7wdz873AYhlDmn+59j0smvSOxixGmJZw7HKF8afTrRbaPK2Hfjvnj1V2sYy4y30IvmHYxtuXKESzOBGrIwB9cZIhrZ76+u7L6LZo+P3Cm7AiOzC9uS32b1ERKRz6FDtEURERGQf2HadH5yHpXkyInG2K8t5rBYJkuRsQqbWCCmX7GvrLfsg/nEL33lh+fsSyxqeGKsfAK699LStuwlZRxPLjPfYNSNlGJGdALhq4j1tk5W2uDKIZe0PgLtyUYMxXO3QHsH25NduJFe1rM3uIyIinYdCWxERkS7CiOxI7IZtEMsYlO7piMQZphPcGlGFthKXrLS1tQlZylmJ4M9dPh/Yt+pXKxHa7rU9QqDjVtriyiKWMRgA7443wQrjCqwF6lfORnIPAsBdsaje5UZkF67w1vj5bRjaQm21rbtKfW1FREShrYiISJeRrHSy/APA9KV5NiK1LG1GJrsxnUpbhbaplqzWNOxo/ONUhLbR8nhf6iZ05PYIAMG+0wDIWPcQrsBaDDuG5crG8vVxzonmjgPAXflFvWudKltfX2x3TpvO0+lrW6m+tiIiotBWRESky3DVrAY67g/N0n05fW1VaSsJyY3ILFXappyV0b/ex/vSLsd252K5cwEwg5sbPylWgyu0OXGvjvn3T6D/BdimH0/lIvybZgCJfrZ1ev1Gc+KVtp6KRfHNyBKc/rdtXGUbn8MBgCptRUQkTqGtiIhIF9GRewpK92ar0lZ2Y0QS7RHU0zblYv6B9T/ex78TLF+i2jbU+GZkyVYDljsf21OwT/dqK7a3iGCfqQBkrH8IaBhmR3MOxMbEDG/DDG1xnnc7/WzbbhMyZw6JSltX1VdgW21+PxER6dgU2oqIiHQRHbqnoHRrydDW3MPbq6V7UaVt27H8tZW2lisb21u8j+MlNiNroq9tR2+NkBQYeClQp23E7iGsK5NY1kig/mZkruoVAEQTx9pSLHM4tuHFjFVhBta1+f1ERKRjU2grIiLSRXSWH5yl+7H88b6RZrDxSj3pfsxEpa2lStuUS/a0hcTfB3VaALRuvHgI3NTXb2f5uyeWPZpwwXdrP85sWDkbbWQzMqenbWbbt0fAdBPN3j8+hyr1tRUR6e4U2oqIiHQRneUHZ+l+kju3uwJr0jsR6TCMRKWt7VFom2q2pwDbzATASkG7HMvXFwBzb5W2naA1T2DgZc7jxtodNNiMzAo737fao6ctxMPl+BzU11ZEpLtTaCsiItIFGJEyzOguoDYgE+kokmFOMtyR7sm3ZRa+zc+AFa5Taav2CClnGMQy4tW2qfglXrLS1hVqIrTtRK15wkXHEi74LpGccU5Fa13RnHFAbaWtu/xzDDuG5crB8vVplzkm+9q6q75ql/uJiEjH5U73BERERGTfOZVOvr7gykzzbETqszKHALUbFkn34yt5ltylFwMQW30rZmQnoPYIbSWWORx39YqU9GFN9rTda6Xtbht7dUiGSfnBLzd5OL4ZmYErtBkjtI3sVTcBEO71/X1uM9Fc0ZwDAHBVqdJWRKS7U2grIiLSBag1gnRksYx4aGsGN4AVBVP/BO1OXJVLyPnqVwDYrixcwfXOMdvdI13T6tKq9/sjkR6TCfX+wT6PZTk9bTeBbdcPL2PB+Nc1nSS03QvbnRMPvGtWkrXqFjy7PsY2M6ge9n/tNodkpa2rZjXEajBDWzCjlU6/XRER6T7UHkFERKQL6Ew9BaX7sXy9sU0fhh11Ah7pHoxIGXlfnI1hBQgXHsOOKauoGnEbMV8fwoXHKMBvI7Gs4QQG/QJM376P5U/0tI1VYUTL6x1z1azGwMZy5WB7ukari2Rf24zNMwCoGfwrrMTnoD3Yvp5Y3mIMbArnjKHww3H0mHck3u2vt9scRESkY1BoKyIi0gV0pp6C0g0ZpjYj646sMLlLLsQVWEssYzAVB/4DXFkEBv2Csm+voHz8i+meoTSHKwvLnQ80bJHgLXsPgGjexHZrH9DWkn1tAWLe3tQM/lW7zyGSOx7A6f0MkLn61nils4iIdBsKbUVERLqAZK9QS5uQSQeVbJGgvrbdhBUhd8lP8Za+jW36KT/oaWxPQf1zukjI1x1YTWxG5i19C4hv8NVVJCttAar3+wO4stp9DlUj76Bqvz+za8LLlB75FbYrC0/lF3h3vNHucxERkfRRaCsiItIFmIF4j8hYxqA0z0SkcbHkZmQ1qrTt8qwoOUsvwrftFWzDS/lBzxDLGZvuWck+iDW2GVksgGfnhwDxVhddRCRvItHsAwkVHkuoz4/TMgcrcxiBwZcTKfwulr8/gQHxTfwyv7lD1bYiIt2IQlsREZHOzgpjhkoAiGUMTPNkRBpXW2mr0Lary15+Jf6tL2EbHioOmkmkqOsEet1V7WZkG53nPDvnYlhBYv7+xLJGpmtqqefKYOfhH1Ix4UUwOsaPyzWDfoltZuKpWIAnUd2MbSvAFRHp4jrG30IiIiLSamZwIwY2tpmB7SlK93REGpVs3aFK267NiFbi3xTfwKli7FOEi49P84wkFaxEpa2rTqWt0xqh8Bi1umhjtreYwIALAcj++vfkfnEOhe8PoWDOaIxIWZpnJyIibUWhrYiISCfnCm4AIJYxQD84S4eV3CTPDKzt8NVhZnAzmWvuwghtTfdUOh13xSIMbGL+/oR7fi/d05EUifn6AmDW6Wnr3VEntJU2VzPoCmzTj7t6Ob5tr2BGynCFNuHZNS/dUxMRkTbiTvcEREREZN+4Ev1sLb9aI0jHFcsYhI2BGavEiJRieztmVbgZ3Ej+Z9/DFViLEdpK9ai/pHtKHYtt46pehqfsA7w752AbHioPeBjcGQC4yxcAEM2dkM5ZSort3h7BDKzFXbMS23ARKZiSzql1G7avF5X734Nv26tE8ybiKX0P784PcFWvgOIT0z09ERFpAwptRUREOjkzmNiETKGtdGSmD8vfD1dwI66ab4h2wNDWDG4m/7OTcAXWAuDd+RHV6Z1Sh5O9/DdkbHy83nPhnt8n3OcHALgr4qFtRKFtl5LciMwV2IC7YqETzkfyDsX25KVzat1KqO/ZhPqeDUCmFU2Etl+neVYiItJW1B5BRESkk0tW2moTMunoYsm+th1wMzIjvJ28z0/CFVhDLFFV6KpaihEpT/PMOhbvjv8BEM7/FpH8wwDwlL3vHHcqbfMObv/JSZuxMgYTyRmLYYfJ//RYMtf9DUCbzKVRLGsEAG6FtiIiXZZCWxERkU7OdNojDEjzTET2LJYxBMCpZO1IMtc9iLtmNTH/QHZNfINYxmAMbNzl89M9tY7DjmGGNgNQeeDj1Ay+EgBv2bvx48HtuILrAIjmjEvHDKWtGC7KD36VUPFJGHbY+RpWP9v0iWaNBIhX2nbwPuGtkbHuAXKWXAhWJN1TERFJG4W2IiIinVztRmSqtJWOzcpMhLY1Ha/SNllBWj38/7AyBtZWke76JJ3T6lDM0FYMO4ptuLB8vYn0OALbcOEKrMUMrIOyzwCIZu6nt8x3QbanBxUHPUPVfn/CNlzEMoYQzRmb7ml1W7HMYfE+4dFdGOHt6Z5OSrmqV5L19Q34tzyPZ+fcdE9HRCRt1NNWRESkM7Oizm7e2ohMOrraStt2Dm3tGBnrHyZceBSx7NENDpvBEtxVS7AxCBceDUAk/3D8Jc/WC21d1avwb3wcww4DYHkKqRn8a3BltsvLSDcz8Qsiy9cXDBe2O5do7sF4yj/FU/o+uEoBiOapn22XZRgEBl9BqNdp2K4sMFQDlDYuP1bGIFyBtbirvybi65nuGaVM5pq7MLAAcFWvIFL43TTPSEQkPRTaioiIdGJmaDOGHcM2vFi+XumejsgeJXvamu1caevd9h+yv76eaOYwdn5rARhGveOesncAiOaOx05skOZU2pZ/Fn97rukhe9kVeHer+or5BxLqd047vIr0cwWTvyDq7zwXLvhOPLQtew/MIABRbULW5Vl6Z0eHEM0aiSuwNh5sFkxO93RSwqxZjW/Lv52P3dUr0jgbEZH00q9GRUREOjFnEzJ/f1U8SYcXS7ZHCG+BWE273ddTsQgAd83qRt9q62yuVac/ZyxrJJY7H8OqwV25BHfFF3h3zsU23FQPuZpI3iRnzO7CDG4EcDZqA4gUfAcAb9n7UBbv/xtRaCvSLpKbkblqus5mZJlr/ophx7BcOQC4qpaneUYiIumjn+5EREQ6MTOY2IRMVU/SCdieAix3PgCuwLp2u6+raqnz2L/pyd0mFcNbGq+0DRcdW/u8YRLJPxQAz66PyVj/MAChXqdRM/xGQj1PBcAMtt/rSDenPULd0Db/EGwzAzO8HYJbsQ23+pyKtJNYZjy07SrVqGZgLf6SfwFQvd8tALirFdqKSPel0FZERKQTq620VWgrnUMscxgA7ooF7XZPd9WXzmPftpcxImW1x8o/x4zuwnLnE809uN51yRYJ3m2v4tvyAgCBgZcBEMsYAIArsKFN596RJNsj1K20xfQR6XG482EsezS4Mtp7aiLdUjRZaVu9Ms0zSQErTPbX/4dhRwkXHkWw74/jG61FSjHCO9I9OxGRtFBoKyIi0ok5lW+JAEmkowsXnwiAv+TfezkzNYzITlyJt/VHM4dhWCH8Jc85x72lb8XnVfhdMOtv9xBNhra7PsKww0TyJhHNmwjUbvyXrHbvDpLtEepW2kK8r22S+tmKtB+nPUJwA8Sq0zyb1jMDG8j/7AR8217GxqB66O/AlYmVMQgAt1okiEg3pdBWRESkE3MFVWkrnUuw948A8JS9jxna0ub3c1d9BcS/RgIDLwUSLRJsG6gNbSN1+tkmRXInYBse5+NklS1ALNGSxAxtASvUNpPvYFyJXxLFdgttIwVTah/nKbQVaS+2txDLUwiAu5NW23rKPqDHvMl4yj/DcudTcdC/iCZa00SzRgHgUosEEemmFNqKiIh0Ysn2COppK52FlTmESN6hGFhOy4G25Eq0RohmH0Co95nYph931Vd4yt7BVb0Sd/nnAIQLj27k4gyiueOAeFAZ6vl955DtKcQ2MzGwnQrU1sha+Qeyv/o12Farx2gXsQBmpBRoWGkbzRmL5e0Vf5yoThaR9uFU21Z3vs3IjNA2chdPw4zsJJIznp2HfUC45/ec47HseGirvrYi0l3tc2hbVVXFo48+yoUXXshpp53G4sWLAdi1axfTp09n3bruszmDiIhIu7KtOru5K7SVziPYZyoAvnZokeCuTIS2OQdge/IJ9ToNgPwFp1Pw0cEY2ESzD8Dy9230+lDxyQDUDL6yfvsEw6jT17Z1LRKM8A4y195DxqYn8JS9W++Yq2oZZjtu1rY3yRYTlisbO7GZnMNwUT7hRZjyHydkEZH2Ec0aCXTO0DZn+dWJwHYsuw55EytjcL3jta+ta2y0JiLSUvsU2m7ZsoXTTjuN++67jy1btrBixQqqq+O9dPLz83n22Wd56qmnUjJRERERqc8MbcGwI9iGC8vXJ93TEWm2UK/TsQ03nspFuKra9odxd9VSAGLZYwCoGXQFlqcQGzP+n+knMOCSJq8PDL6C0iMWEhzwswbHLH8itA22bjMyd+VS57F/0wznsat6JT0+OZIe874L0aq9D2RFyVh7P67KJa2aR3OYiU3ILH8/MIwGx2O5Y6HfSW12fxFpXLLS1t3JQlvv1tn4ts3GNtxUHvAQuPwNzokl2yOop62IdFP7FNreeeedVFdXM3v2bJ566insRG+wpGOOOYaPP/54nyYoIiLS3bnLF5D3+SkNfmhJboBk+fo32EBJpCOzvYWEC48FwLflub2c3dLBY/H/AGzL6WkbzT4AgFjOGEq/s4Ydx+6K/3f0NoL9z296PMOFlTms0UOxxCY5ra2IdSdaNwD4tv3H2SE9c81fMOwwZmQH/pJ/7XUc/+anyF75e7JXXNeqeTRHU5uQiUh6xTL3A8BV04FC2+T34CYY4VJyll8FxN/FEMsZ2+h5TuuH8FaMSFlq5ygi0gnsU2j74YcfMm3aNIYPH47RyG/cBwwYQElJyb7cQkREpNvLXHsv3rL38W+aXu/55Fuyk2/RFulMQokWCf6S51PWz9UIl1L4/nByvzgHbBszsBYjVo1t+og1Ebzui9g+Vtq66oS2hh3Bv/kZzJrV9dpGZKx/eK+fH9/W2UDbVto1tQmZiKRXNDvZQmDVXsPS9uAreZ6itwrxJr4vNSZr1S2Y4e1Es0ZRM/TaJs+z3Tm132c7WSWxiEgq7FNoGwwGKSgoaPJ4slWCiIiItJJt4971CQCu3ar5XMlKW/WzlU4oVHwilisHV3Ad7srFKRnTXfkFZqQU3/b/h6fs/doq26z926QaPbkBoNnKnrbJfrvhwmMA8G96kqw1d2FgEe7xbSx3Hu6aVXh3/K/JMYxwKZ6dH8TnEd4GsZpWzWVvatsjKLQV6Ugs/wBs049hh3HVrEn3dPBtexUDi8y1f2v8hGg1vi3PA1A16i4wfXscL5boa+uu+26jWABP6Xtkrv4zvpIUv1tDRKQD2afQdtiwYcyfP7/J42+99RajR4/el1uIiIh0a2ZgLa7wFqDhZkdmIFH5pkpb6YxcGc6mVWYrK1V3ZybaCwBkfnOH0zM2lnNASsbf3T5V2lpR3NXLAKge/gdsVxbumpX4N8+MP7ffHwj2OxeAjPUPNTmMb/v/w6hTXbf7L3dSRZW2Ih2U4SKabCPQAapRXdXxcNVT8Xm8+nc33u2vYcaqiGUMJtLjyL2OF032ta1eDlaInKU/p+jdAeQv+D5Z39xB7tKfYdZ8k9oXISIpZdasIXfBGfjX/z3dU+l09im0Pe+883jttdd49NFHqaqKb5Jg2zbr1q3jmmuuYdGiRZx//vmpmKeIiEi35ElU2UKib2ad/vGuQLyiJrbbbssinYXl7QmAGdqWkvHMSG1o6931oROAJvvZppqV7Gkb3ARWpEXXugLfYFhBbDOTaM6BBHud4RwLFx5NNO8QAgMuxsbEW/YurqpljY7j2+0tyK7A2hbNo7nU01ak40pWo7qq23Zjx72yIrhqaoNa35Z/NzjFn2j/Euz9o0Y3Ndxd8pd77sol5H5xLv6SZzDsMDFfH2K+fvExE5W7ItLxmIF15H9+Mr7S/5Gz4lo8Oz9K95Q6lX0KbU899VSuuOIK/va3v3H88ccDcNFFF3HCCSfw2muvceWVV3LMMcekZKIiIiLdkWfXPOexGavEiO50PnbVrAZok16dIu3B8vYCwAxvTcl4yY287MQ/cV3BeNVpNHtMSsbfneXtiW14MbAwQ5tbdG2yCjiaMxoMk2D/85xj1UN/Gx8/YxDhnqcAid62uzEiO/GUvRcfJzv+7rY2CW1tG1eiPYIqbUU6nliiGtVdvXwvZ7YtV803GHbU+dhf8ly9XzYT3I6n9C2gtq/53kQTgbR35xx8O17HNv3sGv8iZUcup3r4jQDxFgm7bYouIulnBjaQ/9nJuIIbsI14m6rsr34BsUCaZ9Z57HNzr0svvZRTTz2V//73v6xbtw7Lshg4cCDHHXccAwbo7ZoiIiL7wrPr43ofuwLriHoKIBZwKt8U2kpnZfmKATDD21MynhkuBSDY92z8Jc9i2PHq12hO24S2GCaxjAG4a1bjCqx3Km+bw1WVCG0TgXI0dyLVw2/ENjxE8w91zgsM/Dm+bS/j2/ICVaP+Wq83r3f7axh2lGj2AYQLj8Zd9RVmG4S2RqQMw4r3yrUSlW0i0nFEs+u0EEij5P2jWfvjCq7HFViDu3w+0fxJ8RPWPYdhx4jkjieWaOmwN8kqYgDb9FE+7lkihUcBEO55MvayDNw1q3BXLCCad3BqX5CItF6shrzPT8EVXEc0YygV454lb8GpuGtWk7X6VqpH/DHdM+wUUrIjQ9++fdUGQUREJMWMyE6n52UsYwiuwJr4hke543EF1mBgY7nzsD1FaZ6pSOs4lbah1FTaJtsjRHPHETRcZGz6Z7wa1tt2XyOWf+D/Z+++4+yq6/yPv065dXpJIb3TAim0BIJBBOsioq6goKKusIoNlwUXsbuABUVXFPXHigiIu4JYgZUiEHoLSSiBVNKT6eXWU35/3DIzmZlkJnNn7p2Z9/Px8GHmnu8953OHb25mPvdzPh+IbcRMDG4YWX5IWq51g2EQm31Zr3Xp6mV4djWm04Ldvhqn6vj8sdCePwKQnHg2XrAOGJ6etlauNUJwAljhgp9fRIamq9L2NfA9MIZ0Q+0hy1X6OlVLcSqOIbz7fwjv/h86cknbLZmWNcnJHxjwOf1ANemKRdidr9K26LZ8whbAtytITnwX4d2/J7Trd0raipSQYNMj2PFNeMGJtB7/F7zwNDqOvJ6q1ecS2fpfJCed3eNnGunbkN7NX3rpJW677bZ+j99222288krf/bdERETkwAItTwPgROeSzv4ikkvIdLVGmDOgnnAipSjf0zZVoJ622fYIXrCe2JzLccqPIT79kwU5d3/cyAyg96DAg7HbX8o8/2BVwIZFuno5AIHmx7oeTrcSbHwQgOSk9+R7Ww9HewRTrRFESpobmY1vBDDczvxdOINlOG1EN15NcO+fDzkOqyNXaXsEiWz7g9DuO8FLY8Y2QuOT+JgkJr9/UOdtOeFeGk99mVT9W3sdS07OXCe8507wnF7HpQS5nQQa7if6+jfgyY9Tvu7TlL/0aSJbfwJuZ36ZmdhFdMM3CW+/GbxU8eKVQ2JlP5xO1b4p3w8/NeEdJCZ/AAOPsg2qtB2IIVXa/vCHPyQcDnP++ef3efypp57ikUce4ec///lQLiMiIjIu5YaQOdXL8IKTga4enbmJzGqNIKOZF8r1tC1M0jbf0zZQjxeeRvPyxw7yjKHzwpl2YGZi24EX+j54CbAiGOnWbv12jzroNdI1Kwg13EOgeRXxWZ8HINhwL4afwik7PDOox7CA7Ac7vl/QD3Nyry33WkWkxJg2btl87I6XsTtfJZX9MCl/OLGd8lcvwwsdRseRP+z1dKt9HZVrPoyd/UA4PvXjdBx+7aAr6+3sIDS37HDStW/GC07ATO2jdtUxGF4SgHTdm/Gz7/0DZpXhW2V9HkrVnY4XqMNM7SPQ9BDp+jMHd24ZUeUvfSY7TK5b7+Nux6Obf0Bs1ucxkzuJbP/v/L6Jbv4esdmXk5jyITADIxy1HAp7vzZQObHZ/0549/9kfs/x0vrveRBDrrQ9/vj+y5mPO+441q1bN5RLiIiIjFt2Nmmbrl6Om5tS36vSdl5xghMpAC+Y7Wmb3FuQITK59gjeMLZD2N9AK22rXngfdY8eidW+DivX9iQ0FT9Qc9BrpGtOAbI9rn0X6NkaIReHj4HhdmJkvw+FkmuP4IbVz1akVDnZFglWx/oejwca/k7NkysI7fsbke03YWR7f+eEdt5OzdOnY8c24gXq8DGI7Phvqp95K6EdtxLaeRuhnb/NfyjWL8/B6nwtE0v5EWDaxKdmBixayZ2Y6WzP8WkfL8TL7WIGSE5+H5AdfCYly4xvIbLzFgzfwQ3PIDHlfFh0DZ3zv0HnnCtxI7Mx0w2Uv/4Vom/8DMNLkq46ATc4GSuxjYpXPkvFSxcX+2XIAOXvKMq1gcpyyxbgBWoxvDh2+4vFCG1UGVKlbWdnJ5Zl9XvcNE3a29uHcgkREZHxyUsRaHsOyPS0zN3umEsMdSVtVWkro1euPYLhxTDcDny7YggnczDTzdnzjlzS1gtnk7YH6mnrJgg0PoiBR9WL5xOf+hEAnIqj+39ON07FsXhWBabTht2+Fjc6l2Dj34FMawQAzBBeaApWcgdWbDNONiFeCLn3H1XaipSu3MCu7sPIIpt/QNmGb2DQ9aGY3b6WdN1p2bWvU/HSpzDwSdWdQdvCX2K3PU/luk8SaF9N4OVP55+Xqn0zrcf9sd/rW/HNGH4K34zk3xdjc79MctJ7MLwkBlA9cSqp1BQY+md0PSQmf4DItl8Q2vsXOtLNA/owTEZesOF+AFLVJ9N6wr0YBoTrK4g3tOP7EJv9b4R2/Y7olh/iB+vpnPMl0rWngZcgsv0myl+7ktDuu+g4/Dv4Bfw3ToaBl8SKZT/E2b8NlGGQrjopcwdRy5Pqa3sQQ6q0nTlzJo891v9tZ48++ijTp+uHOxERkcGy21ZjeAm8QC1udH6+0taKvwG+jxXLtUdQpa2MYnZ5/pZXY4gtEox0EwA+Bn6gdsihDVSu0tZMbM9Xwe7Pim3AwMv8Ob6Zso3fzjy3/CD9bHNMm3T1MgACzasINvwfhpfEic7tUcHS9T5R2GFkXZW26mkrUqqc8twwskzS1oxtpnzD1zHwiU/7BMn6t2eOt6/NPyfQ8gQGPumqE2ld8nv8YB3p+jNpXraK+JQLSNadSaruDHxMgk0P5Vsz9cXKtkZwyg7vGoRmWLgVx+JUnYBTfQJUHj4cLz1z/vKjMLwY4R2/GZZryAD4LmTbGfQl2JhN2vbXwsIMkJx6Ac2nPEfLCfeRrntzptWPFSE+8zOkK5dg4BHa+5fhiF4KyOpcj+G7eHY1XmhKr+P5n2mydxVK/4aUtH3/+9/PP/7xD6655hra2tryj7e1tXH11Vfz6KOP8v73D67JuIiIiHQNHEpXLwPDwAtPy9z67MUw45uxUnsAVdrK6NejRcIQ5Foj+IGafH/XkeCFDsM3bAzfwUzu7nNNLonihqfjm2GMbHLXKR9YpS1k+tpC5r0h1xohNfE9PXrXesM0jMxMZgaReWqPIFKy3Fx7hM714PuEd/8PkKmQ7Tjyh/lqNrtjTf45dmv2jp6ak7sSrZCZ8n70T2lbeietS+8iVX8GAOGd/SdE8+9z5cOTmD0gwyA+I1MVHNn2cw0kK5LKNR+l7h9zMGObex/0UgSbHgYgXXfGIZ0/OfE9AIT23H2IEcpIybVGcMqP7rPHfromO2C15cmCtMcay4aUtP3IRz7COeecw69//WuWLVvGaaedxmmnncayZcu45ZZbePe7382FF15YoFBFRETGCd8lsuNmgK5JydlbnwGCjQ8BZHrPBaqLEKBI4XjBwgwjM1Mj388WAMPKT0W2Ypv6XJKbqJ6qO532bkOAet0yeAD5vrbNjxFs+D8AkpPO7rHGzSZtzUJW2noOZmJn5o9qjyBSstzoXHzDwnTaMJM7CWX7uyYO+wAATsUxQM9KW7vteQDSlUsPeO5EtjdteOdtmcFBfci9z+V66460xOQP4AXqsBLbCO5TJeZIs9teJLT3T5hue5+9hQMtT2K4nXjBifm9OFjJSe/OnKv5kV69maW02B3Zfrb9tIFyKhbjG0HM1F7MeB9JfskbUtLWMAyuueYabr75Zs477zzmz5/P/Pnz+eAHP8ivf/1rvvOd72AUcHKtiIjIeBDcdx9WfDOeXU3isHPzj3vZ27CDTQ8Cao0gY4MXyvS1NbPV44cqn7QNjHDSFnDKjgSgYu0nCDQ/3ut494nqySnn037EdZmhK4NIbjiVS/CtMkynBcOL4UZm4VQs6rGmqz3ClkN8Jb2ZyV0YePhGIN+DWERKkBnM330T2nUHdmwDvhkhNfEsINMbG7KVuG4C3EQ+seIcJGmbqn87XnAiZmovwX33ABBoepjqp88gtPuurvPCoN7XCsoKE5/2CQCib/ysODGMMcF991H99On5iuwDiXT7nof29u59nG+NUPeWHlXdg+FF55KuOBbDd/P7UEqT3bEOAKe/NlBWGKdyCZAdsir9GtIgspxly5axbNmyQpxKRERk3Iu8cQMAiWkfg2y/T8gkZAItTxBoeiTztVojyBiQSwQOtT2CkWuPMNKVtkDH4VdjxTdjd75K1XPvonPe14nP+nz+eG4wUK4CLTH9k4O/iBkgXXUiwaZMpX1y4rt73XLoRmdnrlfQpG231giH+Iu2iIwMt+wI7M7XiG75EQDJCe/EtysB8EJT8AK1mOkm7M5XwEtj+A5eoP7gVfRmgMSUC4hu+QGRHTfjB6qoeuGfMbwE9rrVuOFpPT6cKpbE9H8huuWHBFqewG59HqfqwMloObDItp8RaH2WirWfoHn542BF+1xnJPcQ2v17INNX3u54Cavzddyy+fk1+SFkh9gaISc18WwC7WsI7b2b5NQLhnSu4Wa1Z1qRuNkPTMYTK9ce4QADV9M1ywm0PkWg5SmSU84fqdBGHf3kJSIiUkKs9jUEmx/FNyzi+yV23Ow0ZtNpzXytpK2MAfmkbWrfkM5TzEpbLzqX5pMeInHYuRi+S/nrXyHQ9Gj2YAorthEAt3xoFWi5vrbQuzUCdPW0NRPb+72FebCs+DZAQ8hERgMnmzA1nRYAktnWCAAYRr46325f29UaoWppnz0n9xef+mEAAo0PUPXCBzLDUu0qDD9F1epMAtc3Q/k2LcXghSaTnPw+IJNwlJ4Mp52y17+K1fHywRf7Xr7C1o5vomzj1f0ujWy/CcNPka46iXTdW4Ce1bZmYhd2xzp8DFJ1pw/pNSQnvQfItAoz0i1DOtdwMlKN1Dx9JjVPrSS4p3fl8VhmpBqwUnvwMfJ3IvUlXaVhZAMxqKTt6aefzhlnnEE6nc5//Za3vOWA/zvjjKF9kiIiIjKe5G7pS048O98nM2f/X4ScMrVHkNGvK2nb1R6hbP2XqHzhA4MaJtPV07ausAEOlFVG+9G/IDE5M4Q32HBf5uHYpkw1m1WOFxraIK9U9pdhNzILp/L4Xse94KTMoDM8zMS2HscCDX+n+sk3Edx336CuaSa2Z86tpK1IyevemsAL1Paqauzqa7uGQDZpe7DWCPnzReeSqnkTBj6GFydVdwZNp7yAE52PmW7OXD86H8yC3Mx7yOIzPgVAaPddGNl/FyQjtOsOoluup2r1B8FLHXCt1fk6ptOKnx3sGdn6E+zWZ3ovdBNEtt8EZL73+aRqt2FhgcYHgMxe84f4b7RbNh+n/CgMPz30Fgm+D25saOfoR2jfXzG8OIbvUrn2YwT3/jV/zHDaIDuQdCzKtV3xIrPALu93Xbr6pMz6zlcx0k0jEdqoNKh31BNPPBHDMDBNs8fXIiIicoh8l+DeP2GmW8F3CO36X4D8FOTucj1tc1RpK2OBF9pvEJnTQeSNn2HgY3e8hFO56ADP7mKkM0NJitEeoSsIg1T92wnv/j2B7JTsXGsEt+zwAVWzHYhTtZSWpXdnetf2dS7DwI3MxO5cjxXfihedA2QStlWrP4jhp4huuY7UhLcN+JpWMpO0VaWtSOlzulXzJye/D8xAz+PdhpHl3jOdyuMGfP74zEsINj9Cqu50WhfdBlaEtkW3Uf306ZhuR77St5icyiWkK5cSaHue8M7fEp/12WKHVDJywzKt+GYi235BfOZn+l2bS9Cmq5fjhacS3vU7Kl66hOZlj4IZyq8L7bkTM7UPNzyN5MR3YzitlBufJ9C+BjO2ES86t6ufbX1hCvqSE8/G7niZ0N4/k5zywUM+T+SNn1L22pW0Lf4dqQlvL0hsOaFs0toNTsZK7aZyzUdIHHYugdbnsDtfIVV9Cq0njM2+vHZ7tp/tQYat+sE6nOh87NjrBFqeIjXhHSMR3qgzqKTttddee8CvRUREZHDCO35DxSuf6/FYuup4nOoTe63NDRnq+nrOsMYmMhK84ASgq6et3fESBn7msfhWGGDStpjtEbpL1a4EMpVsRqoROztRfaitEXLSB7m1tCtpu4U0EGh8kKoXP4ThZ6qqAi1PYiZ24oWnDOh6ZlyVtiKjhRudj2/YGL5DYvIHeh3PDSOz217E8DIVhumqgSdtUxPeQeOpr+CFDsv3uHbLj6D9mJsoe+0qElM+VIBXMXSJqR/NJG133JxJTKrQDAAre+cEQHTTd0kc9sF+K18DrU8D4FSdQGzm5wg2Pojd+Srlr32ZjiO+D2RaAOTaJsSnXwSmjR+sI13zJoJNDxHa80cwg4T2/gkYej/bnHTtSth0DXb72iGdJ9hwLwY+kTd+WtCkrZFuJtD0DwBaj/sT0U3XEt5zF5Gdt3Zdu+UxjOQe/OwH12OJlRtwWN5/P9ucdPVyJW0P4pB72sbjcT7zmc/wpz/9qZDxiIiIjCu5wQ3pyiUkJ7yLxKRz6Djiuj7XeqGp+dvU3NBhB7zlSGS06FFp6/s9fgmz4lsHfJ6u9gjFTdr6oUk4ZUdi4BNofqTXELLhlutrG9rzByrWfIyq1edheEmSE95FOltRF9z75wGfz1J7BJHRwwrTftRP6Jj/nzhVfXz4G52Pb4byCVs3PGPQdyf0NZQwNeEdNJ/yHOn6Mw899gJKTn4/vlWWTQZ1TabP3JbuFTGy4jITbwDgmyFMp4Xopu/0uzaQq7StOgE/WEf7UZkhuZFtvyC087fgu1Su/ThWYhtOZA6JaR/PPzfXc71s439S/tqVmQ8RDvtgn3vyUDjReV2vx0se8nmsjszwvEDTw5iJnQWJDSC4728YvoNTfnTmQ42Fv6Rz9mXEp19E67G/yf88MFZ7udq5IWTlB660BUhXZ/ra2mP0e1EIh5y0jUQiPP744yQSiULGIyIiMm4YqX0EmlcB0Hbsb2hb/Fvaj/01TuWSvp9g2nihTOJErRFkrMj1tDW8BIbTtl/SdvOAz2OmSyNpC5CqOw2AYOPDIz5RPdf7Otj0D8J77sTwEiQnvJO2Y3+dH9DTfUBMd4bTTnDv33r02jPVHkFkVElO+VCmJUBf1aWmjVN+VP7LgfazHW18u4LEpMz7XXjHrwEI7v0rdQ/Po+aJZVjZOyDGm9xgyc65XwEgsv3/YXW+3mud4bTnh5U5VZn+6akJb6dz9uUAVLzyeSrWfZJg00P4ZpS2xbfj25X55ycn/BM+JoafxjeCtB9xHe1H31iwimc/OAHPqsDAx4oN/OeE7ox0K1Zqd+bP+IR231mQ2IBMhTGZNg4AmAFi875KxxHfJzXpbNI1pwBjNGnru9idrwDgVBy80tbJ9rUNtD03pAT8WHbISVuA4447jhdeeKFQsYiIiIwrob1/xsAjXbm0V7/a/rjZdUrayphhRfGsCiBTbWu3r8kfMgdaaet7+SEWfpHbIwCka08DINj0YP4XYqdA7REOJjnx3TjlR5GqPoXOOV+i5fh7aFt0O5jB/C+QgebHMLLtKPJ8j8rV51L14nmEd2Rv4XQ68gOGVGkrMjbkWiQApKvGZtIWIDH1I0Cmt2ho1x1UrvkIhpfA7nyVmqdOI7TrjiJHOMLceP7DzcTUC0jWvw3Dd6hc8+FeA9vstucx8HHDM/BCk/OPx+b+B8m6MzG8BOHsnWLtR9+A2+2DAAA/NJH4jH8lXbGIlhP+j8T0Txa2RYVh4Garba3YxkM6hRXrmawO7f7dkMOCTDI42PggQH4o2/5y1aVjMWkb2n0XhpfAt8rwIrMPut6NzsML1GN4Sey21cMf4Cg0pKTtV7/6VZ577jl++MMfsnv37kLFJCIiMi7kP4nv54e6vuQqZHLDRETGgq6+trvyU4cBrPiWAT3fSDdjZKtDvSFOpi6EdM0p+IaFFd+C4afwzQheeGAfzAyVF5lB8/InaT3hHmJzr8xU9GRvZfYi00lXHpepKtqvRUJ4+00Es5X/geZHAbASOzLPs6t6VFGJyOjV/eeHsVppC5lerE75URhenMp1F2H4aZITzyZVexqGF6Ny3UWUv/x5cMfHncP5VjdWOb5dQ8cR38cNTsbueJnq587GSDXm13a1Rji+50kMi/Zjfpm/oyM24zP5Ozj213n4tbQsexRnmD4YcLODNg85aZu9C8YpPwbfCBBoX4PV8cqQ4wo23Ivhp3DKDu+3l326ejkAdvuL4MaGfM0R5cYwsh/m7s/qeJmKlzOD/2IzPtWrjUqfDKNbEvupgoU5lgwpafvud7+b3bt384tf/II3v/nNLFy4kKVLl/b433HHDbyxuYiIyHhhpBoJND8CZCrjBio29z9oO+ZmElM+MlyhiYy43CCOQPPjmQoNMhU5VnzrgPoPmtkp6J5dBWZw+AIdIN+u7JEMccoOH9gvLyMg9yFR9xYJZvwNyl7/Wv5ru+35zOPJXD/bqSMXoIgMq1ylrY+BU7m4uMEMJ8MgMfWj+S+TE8+m7Zj/pnXpH+iccwU+BpEdv6L6mTMxY5uKGOjIMBOZ1gheeBoYBl5kJq3H/xUvOBG7Yy1Vz78nn4yzWzJJW6fqhF7n8QO1NJ/4IK2L/4fOBd8auRewn9wdZ1ZswyE9387eBZOuPpFUthdzeNf/DDmuXq0R+uCFp+OGpmD4DoHW5w7tQl6K4N4/Y7c+16Ol0XAy0i3UPrGM+n/MpOaJ5ZS9ejnBvX/JfHCebqHyxfMxvBip2jcTm/vlAZ+3K2n7xEFWjk/2UJ789rcXbsKeiIjIeBLa91cM3yVdcSxetlpgIPxALcnJ7x3GyERGXq6vbbDxfiBT/WW3r8bwU5jJ3XjhKQd8fn4IWaD4VbY5qdqV+Wolt3xk+tkORHLiuyl//SsEmh/FSDXgB+qoeOVzmG4H6YrFBNpXY8c2YKRbsOLqZysy1jiVS0nWvwM3OmfMV9AnDvsQod134pQtoOPIH4EZACA298ukq5dRufZfCLS/SM1TK2lbdDvp2lOLHPHwyfWzdcPT84+5ZfNpOe4vVD/3LgLtL1L1/HtoXfrHHkPI+uIH60lNKG4uyC0bYnuEztey51lAqvZNhPb9jdDu/6Fz3lcO+UNWI7mHYOPfga5hbH0vzFSXWnvuItDy5CHtu/COW6h49YsAeHYl6eqTSde+iXTNqZlq+mH4oLjstS/n74CyO17K3Bm17UZ8DPxgPWZqH254Om3H/DdkBycPRI9KW98veNyj3SElbZPJJA888ACzZ8+murqa0047jYkTJxY6NhERkTErtOduAFIH+CReZLzItUewW58FwKlcgpluxIpvwYpv6Z209Rwq134cLzSBjiOuy/fjG+wU9OGUrn0zbP4+QH5SdCnworPzydnax5aCYWGmG/HNMO3H3ETVC+/Dim/BblvdrdJ2+kHOKiKjhhmkbUlh+neWOj9QRcuJ9/d5LF33FpqXraJyzYUEWp+i7PWraDnp4RGOcOR0Vdr2fD93y4+g5bg/U/3suwi0vZCpPE434BtBnMpFxQh1QLoqbYfYHqHscNLVy/HsSqzENqKbriE26wtglQ36nNGtP8bwkqSrTsAtX3jAtenqZYT33HXI1aW5/q8+BqbTRqjhXkIN9wKZFhhYkeyfK4jN/TLJw/4580QvRdmGbxBoepi2xXcMuF99oPEBIjt/g49B2+I7wEsQbHqEQPOj2J2vYaT24Zsh2hbdij/INlVO5WJ8M4yZbsCMbQDGbtuWQzHopG1jYyPnnXce27dvx/d9DMMgHA5zww03cPLJJw9HjCIiImOKkW4m0PQPYHD9bEXGKi/bHsEg0wrBqTgWK7YBK74FM74Fanr+jGm3PU9o791ApqdebriKV0pJ2+oT8c0IhhfHLaGkLWQG9AReXY3ptOQf65z3Ndyy+aQrl2aTts939UBUewQRGYO88FTajr2FukcPx25bjZFuwg/UFjusYWFlk7ZupPeHcG75UZnE7XPvws4lMyuPBTM0ojEORj5pm9wJbufgkqxeGiu+OXOesgVgRUhM/SjRrf9F2abvENn+33TO/ncS0y8e8AA1I7WPyLabAOic86WDPs/JVpfarc9k2hsMojIVwIpnWnq0H/0z3PIjCTQ9SqD5EQLNT2C67eB2AGCyj8p1nyDe8jjxGZ+mYt1FBNoyLRmCe/9CYsa/Hvy1Oe1UvPw5AOLTLyY14R0ApCadk7lGcjd2yxN4kdmH1nLFDJKuXEqw5fHMcLaZStp2N+ik7U9/+lN27NjBhRdeyLJly9i6dSs//elP+epXv8r99/f9KZaIiIh0CTY+hOE7OGVH4pbNL3Y4IkWXa4+Q41Qck++r2tcwstytmwChhnswnMwvJ16gdJK2mCFisy8j0PwIqdqVxY6mh8S0T5CqewuGFwfAN8P5Ni1O5VLYcxeBtucxnFZA7RFEZOzywofhlC3A7nyNQNMqUpMGPmdgNDHzH8L1/X7uViykdemfqHruLEynpd/WCKXCD9TiBWox001YsU24gxjQa8U3Y/gOvlWGF8p8KNk5/5s45UdTtularPgWKtZfjheZmU9QHkx0608wvBjpyiWk68446HqnfCG+VYbptGJ1vIJbceDK3F6vIduH2S2bj1O5BKdyCfFZnwPPySR0fQeA0O47iW7+PpHtNxHZflOPc3Qf/HogZRu+jpXYhhuZRef8r/U67oUm5xO4h8qpXtaVtOXTQzrXWDPoRherVq3i7LPP5oorrmDlypV85CMf4atf/So7duxg06ahNfC+/fbbOeuss/JDzM4991wefrjrFoWvfvWrnHHGGRx77LEsW7aMT33qU2zc2LMcfufOnVx00UUsWrSI5cuX853vfAfHcXqseeqppzjnnHNYuHAhZ555JnfdddeQ4hYRERkMqzMznbbUfyAWGSlecFL+zz4mTvlRuJGZQN9JW7tb0ja4756SbI8AEJvz77Qe92ewy4sdSk+GgRedjVt+FG75UT36aucGqNltz3f9kh9S0lZExq507WkABLN3QY1F+Urb8Ix+1ziVi2g5/m/Ep3+S+IzPjFRoh+xQWyTkWyNEF3RVxBoWySkfounk50hMysyOCDQ9OqDzGalGItt+AUBsAFW2AJh2/veATKJyENxYpsIYcCP7zcUwbdyyBfl/32PzvkLrkt/jZSvI05VL6ZifGSBnt687+LW8JOHtvwag/cgfHVLbiIHI9bW1mwf5vRgHBp203bVrF8cdd1yPx4477jh836exsXFIwUyePJnLLruMu+66izvvvJNly5ZxySWX8Prrmcl+Rx99NNdccw1/+9vfuOmmm/B9n0984hO4bmZanuu6XHzxxaTTae644w6uvfZa/vCHP/DjH/84f41t27Zx8cUXc9JJJ/HHP/6Rj370o1x11VU8+ujA/kKKiIgMldWZmXSrKluRDC80If/n3K2KXmQWAFZ8a6/1gWzvW4BA82P52wRLqT3CaOVULsLHwEpszyfM3YiStiIydqWySdtA0xjtaeu7mIkdAHh9tEfozq1YSMcR1x10XSnIJW3t2IZBPa9rCFkfP4ebAVL1Z2bOm73j52Aib9yA4XaSrjiWVP3AB7TlEpXh3f9D+I2fE972/zATOw/6vNy/zZ5dPaB2Hun6M2le/iStx95Cywn3kZrwTgDsjlfA9w74XLt9LYafwgvU5j/cGA7p6hMz14u9Dol9w3ad0WjQSdtUKkUo1LO3STAYBOhV0TpYp59+OitXrmTWrFnMnj2bSy+9lGg0yurVqwE499xzOeGEE5g2bRpHH300X/jCF9i1axc7dmTegFatWsWGDRv43ve+x5FHHsnKlSv5/Oc/z2233UYqlQLgjjvuYNq0aXzpS19i7ty5XHDBBbztbW/j5ptvHlLsIiIiA2Vlf7h0o0raikDPSlsne4tjrtLW3K/S1kzuxkq8gY+BG56J4TsEGx/InCcwuOEX0ptvV+CWHQ6A4bv4GHihKQd5lojI6JWuWYGPiR17PZ/cHEvM5B4MP41vWHjBycUOp2Dc6Dxg8JW2dj5pu6DP405lpkgx0P5ipt/sAZjxrUTf+BkAsTlXDLgHLkC6ennmOi1PUrH+36l49YvUPPWmgyZu860RorMHfL1MC4P3gBnCjc7BN8MYXgwz29u3P7nEtVO5dFCvbbD8QG3X0NaGx4ftOqPRoJO2ADt27OCll17K/2/9+kx5+datW3s8nvvfoXBdl7/+9a/EYjGWLFnS63gsFuOuu+5i2rRpTJ6ceeNZvXo1CxYsoL6+q8pixYoVdHR0sGHDhvya5cuX9zjXihUr8olhERGRYeX7+YoAVdqKZHTvaetUHAuAG5kNgJXcBW4if9zOVtm65UeRnJzpoWZkf6lSpW1h5FokQDahbgaLGI2IyPDyA9X5AUqBMdgiwcy2RvBCU8Ec9FijkjXk9gjZDyh7nbdsPp5VjuF25tf2yfepePlzmSrb6uWkJrxrUHGka1cSm/VvJCadQ2LSObiRWZipvVSu+TB4qf7jzyVt92+NMFCGhVN2JAB2+4HzdYHWTNI2XTn8w8FySWz2PTbs1xpNDulv7I9+9CN+9KMf9Xr8G9/4Ro+vfd/HMAxeeeWVAZ97/fr1nHfeeSSTSaLRKDfccAPz5s3LH7/tttv4/ve/TywWY/bs2fzqV7/KV/o2NDT0SNgC+a/37dt3wDUdHR0kEgnC4XC/sQ3jBwslI9/SZRy8Vumf9oF0p/1QWGZyJ4bbmal2iM4ald9X7QnpriD7wQ7j2VWYTitu5TGZcwVr8axyTLcDO/lGviImN4TMqTqB1IR3Et1yff40fqhe+7IAnKqlsOt2ALzItAF9T/W+IPvTnpDuSn0/pOveTKDteYJND5Oaen6xwymoXD9bLzyw9/ORMtQ94ZZlk7adGwZ+Dt/H6sy03/TKF/T9PMPCrVyM2byKQNvzeBVH9Xmq0I7fEGx6CN8M0370DRjmIGsiDZPYgq7BXmZsE9VPnkag9RnKX/sSnUf+oM+n5VtClc059O9dxdEE2l8g0LGO9OT+h+/lKm3dquOGfe+kJp9NZMevQD/L9TDopO0111wzHHHkzZ49m7vvvpv29nbuu+8+rrjiCm699dZ84vbd7343p5xyCvv27eOmm27iC1/4Ar/97W97tWwotNraMizrkAqTR6W6uopihyAlQPtAutN+KJDdmVuejPI51E88eB+qUqY9Id0NeT8s+DQ0PEHV3LeCHck8VjEHWtZQY++B+uxMhdWZXyDC004lPPt0WFMPycwgsppJs6BM+3LoToVXM38KVM2mvn7g31O9L8j+tCeku5LdD847YPN1hFseIVxXXrrZ5UOxN1PAFqieM6j385FyyHuiajE8CWa6gfpKD4JVB39ObCe47WCY1ExfBFY/eaTJy6B5FRWptVT09T2L7YDXrwTAWPRtamf2vjt88BaBdRs8/E9Etv0/IlNPgTkX9l6WzvT6j048muih/vecfBzsvJVoan3/50i3Q7bSuHL2myAyzHun/myY3QSBaurG0t+/IRp00vacc84ZjjjygsEgM2dmepgtXLiQtWvXcsstt/DNb34TgIqKCioqKpg1axaLFi3ixBNP5O9//zv/9E//RH19PWvWrOlxvoaGzA/xEyZkBlzU19fnH+u+pry8/IBVtk1NnWPqfbs/hpF502xsbMf3ix2NFIv2gXSn/VBY4V0vUg6kQnNpa2gvdjiHRHtCuivYfpj2HzANaHGAzN+NiuAMQqyhY88rJEKngudQ1/AMBtBsHYPbFKO87q2Ed2aqQhs6whAfnX+vSoo3hzojgOGniRuT6BzAe5XeF2R/2hPSXcnvB+MY6swQRnwnzW8832+/09GorPF1IkDMmEyshH72LMSeqA1OwkztoWXb6sxdIgcRaHyeKjItmJqbU0DfbQiCgYVUAuk9T9Lax/esYvWnCKXbSFceR2v9J6BQ39fQqUTmfomyjdfgP/2vtDAXN9u6I6em9XUsoMWdgnOI1w0Y8zLfh8bVNPdzDrtpFdX4uKGpNHeWQefw7x3DsKmrM0r3faLABvIhSsk3NPE8Lz9ErC++7+ePL168mBtvvJHGxkbq6jKDKB5//HHKy8vzlbqLFy/mkUce6XGOxx9/nMWLFx80lvGwaXJ8H+zGR/GCE3HL++71ImOf74+vfS8Hpv1QGGb2liynbP6o/35qT0h3w7Ef3HB2GFlsC74PVsfLGF4Mz67EiS4AH5L17yS883Z8qwzfjID25NAZIZzyhQTaX8ANTR3Uf1e9L8j+tCeku5LdD2aEdPUygk0PYzf+I/NvzBhhxrcD4Ianl+T3fih7wonOJZjag9m5AX8AfVfNXD/b6IIDXjPXw9VuX4fvJsHsqsg1Y5sJ7f0zPgbtR9+Aj1XQnz1is6/Abn2BUMO9VK6+gOaTHsYPZgetesl8j2InMueQv2/p8qOBzLBXP90BdnmvNXa2n61TtXTE903Jvk8UQUnd73/dddfxzDPPsH37dtavX891113H008/zVlnncW2bdv4+c9/zrp169i5cyfPP/88n/vc5wiHw6xcuRLIDBSbN28el19+Oa+++iqPPvoo119/Peeff36+7+15553Htm3b+O53v8vGjRu57bbbuOeee7jwwguL+MpLj938ONXPvYuqF87R3xYRkQKys0lbN6ohZCIH40ZmAWDFtwAQaMn2s608DozMj7Gp+reSnPBPxGZ+thghjlnxmZ8iXbGE5IR3FjsUEZERka7N5BUCzWNren2up60bnlbkSArPjWaK8wY6jMzuyMxbOlgltReeiReoxfDT2O1rexwL7/wNkOmD7Jb33e92SAyT9oW/wI3Mxkq8QeXaj0N24KoV34qBj2eV4wcnHPIl/GA9bnAyBj52Z98zqHL9bNOVxx3ydWToSqrStrGxkSuuuIK9e/dSUVHB4Ycfzk033cQpp5zCnj17ePbZZ/n1r39NW1sbdXV1HH/88fz2t7/NV9ValsWNN97I17/+dc4991wikQjnnHMOn/vc5/LXmD59Oj//+c+55ppruOWWW5g8eTLf/va3OfXUU4v1sktSdON3ALAS27E61+OWH1HkiERExgYrtgHo+iFTRPrnRTKVtlY8078tN4QsXXV81yIrTNvi20c8trEuedh5JA87r9hhiIiMGKfsSACs+OYiR1JYZiJTaeuFZxQ5ksJzo9lhZNmfrw8mXz1aeZAetIaBU7mUYOP92G3P4+R+7vAcwjtuBSA+9cJDinkg/EA1rYtup+bptxBseojo5uuIzbk8n5x2o3OG3HfZrTgKq3E3dvtLOFUngO9iOG34gRoAAm2579XBK5hl+JRU0vbqq6/u99ikSZP45S9/edBzTJ069aDrTjrpJO6+++7Bhjd+7HucYNND+S8DzauUtBURKQQviRl/A8i0RxCRA3Mjs4HMpOTI1p8QaHoYIPPLhYiISAG5kUxS04pvK3IkhWOkWzGdVgDcyBistM1WugZans7cIXygRKYbw+7IVM2mB/BzRDqbtA20Pk9ieuaxYMN9WKndeIF6UsN8J4pbcTTtR15H5UufIvLGT4nN+jxWbBMAXmTOkM/vlC8k2Pggdsc6cGNUP/tO7I5XaF38O5yKY/J3OTn79dSVkVVS7RGkRKz7FgC+VQZkkrYiIjJ0VmwTBh6eXYkfnFjscERKnhuZgW/YGG4n5a9diZXcgY8xoF+2REREBsMLZzJzZroB3M4Ru25o5+1EN31vWNoS5vqfeoFayP5+P5akalfgG0GsxNaDVtvabS9i+A5ucDLeAFpFOFXHZZ/3fP6x8I6bAUhMOR/M4KEHPkDJw87DDU3FTDcR2vtnrHgmaetGC5G0zfS1tdrXUfHyZwm0PY/hxalc+zFCe/+UWROdhx+oHvK15NCVVKWtFJ/d+izsuhffsGg/4vtUvvQpAs2PHfxTKxEROSgr3892nt5TRQbCitB+1E8INj6Yfyhd+6augRwiIiIF4geq8ewqTKcVK759RAZyW50bqHjp0xh4JCe8Dbfi2IKdN9B4P6F9fwUyQ8jGJKuMdM0pBJseItj4d+IHuJMt12LJqT5hQD+H54aRWZ3rMZx2DKeNYMPfAUhM/UgBgh8AwyIx9QLKNn2H8I5fg5FJ4RUkaVuxEIBgS6aHs29YuJFZ2LGNlL/6xcwatUYoOiVtpYfoxu8CkDzsXJKT3of/yhewUnuwYhtwdSuviMiQ5PvZ6v1UZMCSUz5EcsqHih2GiIiMA154OmZHK1Zi64gkbaObv4+BB4DdvrYgSVu79Xmqn34zBl2Vu+maU4Z83lKVqjsjk7RtuJ/4jE/3u66rL/7A7tbxQ5NwQ1OxkjuoXbUIL3QYBh6p6lNG9Gf5xJQPE930XYJND+PZ1QC4BWiP4JYtyNzN5DsAdM7/NsmJ/0TNU2/CTDcD4FQpaVtsao8gXdwEwYZ7wTCJzb4MrHD+DS3Q/FiRgxMRGf3sWLdKWxEREREpKbm+tuYI9LU1Y5sI7f5d/mu7/aWCnDfY8H8Y+DjRuXTM+xrNJ9xP54JrCnLuUpSqPwPItnV04/2us3OVtoNosRSf+Rl8M4KZbsj3w01M++gQoh08LzKDdN3pAJhOC1CYSlvMEG5ZZnZRYvL7ic/4NF5kJm3H/Dc+mUrkdOXxBzqDjABV2koXK0zHEddRXjcVr2we+JCuPplg8yoCzatITLuw2BGKiIxqXe0RVGkrIiIiUmpybQSsxBvDfq3o5h9g+C6+GcHw4tgdhUnaBlqfBCA+41Mkpl9UkHOWMrfsCNzQFKzkTgLNj5HOJnG7MxM7sJI78Q2L9CAGa8VnXkJ8+iexW58j2PwIAMlJ7y9U6AOPY+qFBBsfAMA3I3ihyQU5b8cR3yfQ9BCxWV/It4xI172FtkW3YnVu0ODXEqBKW+khMeOTMPPc/NfpmhUAXX1tRUTkkFnZSltH7RFERERESo4XmQmAGR/epK0Z30p41+0AdM7/GsCAk7aBxgex2tf0fdB3sVuybQCqlw090NHAMEjVZRK1wcb7+1ySr7ItXzj4gWxmEKdmObE5VxCbcwWYI1/7mJrwDrzgBADc6GwwCpPKS9ecTGzul3t9T1ITzyI++1LN4CgBStrKAaWrT8Q3AljJHZjxLcUOR0Rk1DJSjfn+UG50bpGjEREREZH9jVSlbXTzDzF8h1Ttm4lP/Sg+BmZqL0Zy7wGfF2h6mOrn30P1s+/CcNp6Hbc6XsZ02/GsCtzyo4cr/JKTa5HQX9I2P4SsapTe7m8GSUw5HwA3uqDIwchIUtJWDsyK5icGqq+tiMihC7Q+DYAbngZWtMjRiIiIiMj+vJHoaeulCO3+H4DsLJmyfI/SA1bb+i5lr305E5/TSnjnbb2WBFqeALLJScMqcOClK117Gr5hYXe+hhnf2uv4YIeQlaLY7H+nc84VdM67qtihyAhS0lYOKtciIdj8aJEjEREZney2F6hYl+kplq5dWeRoRERERKQvbjiTtLVSu8FNDMs1Ai1PYrodeMEJpGtOyVw3WxXbPWkbaFpFoPHB/NfhnbcT6NYWIfLGjeC7vc4NkK5ePiyxlyo/UJ3vv1q24ZtEtlxPZOtPMGObwEtht60GBjeErNT4dgWxuV/GLVOl7XiipK0cVKrmZADsbJWYiIgMnN32IlXPnY3ptJKuXk774d8rdkgiIiIi0gc/UIuf7e9pJbYPyzVyt/Cn6t6S703q7Je0NZJ7qHr+bKqffw/lr1yKkWokuuGbAHTOuRLPrsaKbya4774e5w60PAWMo3623aTqzgQgvPt/KX/9q5S/diW1jx9H5YvnY3gJvEANbnRekaMUGZyR76Aso07ukxwrsR18r2BNr0VExjoj1UjV82djOi2kq06idcnvwS4vdlgiIiIi0hfDwA1Px+58FTPxBm5Z4ZN8wYZc0vaM/GNOxUIArPZM0ja8+/cYfhqAyPabCO2+E9NpwY3MIjb7UgwvTnTLD4m88VNSE98JgJnYjpXYhm9YpEdr79YhiE//JEa6EdNpBTLfj2DTw4QaMontdNUJGqwlo46yb3JQXmgKPgaGl8RINRQ7HBGRUSPY9A/MdBNOZA6tS+/EtyuKHZKIiIiIHICb7WtrDUNfWzOxC7tjHT5GptI2K19p2/kKeA6hXZmet4nDzsUL1GI6LQB0zP8WmCHi0z+Jb1gEmx/Bal8LdLVGcMqPGZdFAn6gms7Dr6X96J/RfvTPaD3uzzSf8HdStW8GIDn5A0WOUGTwlLSVgzMDeKHJAFiJYWzILiIyxlgdLwOQrn0Tvl1Z5GhERERE5GC88HQAzERmoJUZ20TFuk9ita8b8rkDjQ8A4FQuxQ/WdV0zMgvfKsPwkgQb7iHQ/gK+YdOx4Bqal60iOfE9xKdfRGriu7MxTiM58WwAopu/D77XrZ/t+GuN0B+n+iRaj/sj+85oJnmYkrYy+qg9ggyIF56GldyFmdgBVccVOxwRkVHB7nwVALf8yCJHIiIiIiID4UZmAl0FS2Ub/5Pw7v/FbnmG5uWPgxU95HPn+9nWn9HzgGHilB9JoPVZyjZ8I7Om7i34wXp8oG3RLb3OFZ95CeE9dxHe8wdMpw0zG6+jpG1vhlXsCEQOiSptZUDc7KeNqrQVERm4XKWtU35UkSMRERERkYHIVdpa8TcwnHZCe/8CgB3fRNnG/xzCiR2CjQ8CPfvZ5jjlmb62dudrACQPO/eAp3OqTqDt6BvxzQjBxgfyz1OlrcjYoaStDIgXngpkmnmLiMgAuHGs2CYAnDJV2oqIiIiMBrmetmZiG8G9f8Hw4nh2FQCRrTdgtzx9SOe1257DdFrw7Gqcyt53r+b62gJ4VjnJCe886DmTUz5E84kP4kTnZWOfhReeckjxiUjpUdJWBsQLTwPASuwociQiIqOD3bkeAx8vUIcfnFDscERERERkANxwLmm7k/Cu2wGIz/g0icPOw8Cj4uVLwO0c9HnzrRHqTgezd6dKt2Jh/s+piWcNuA2DW3E0LSc9TOecK2k/6oZBxyUipUs9bWVA3HwzdrVHEJHRzUg1EmheheF2kjzsg2AYw3KdHq0RhukaIiIiIlJYfnAivhnG8BIEmx4GIHHYB/ADNQQbH8TuXE/9QzNJV51Auu50YjM/DVbZQc8bbHwI6Ls1AvRsp5UY5NAs364gNvdLg3qOiJQ+JW1lQNQeQURGu0DD3yl//WvYHV2Tf9vwSU45f1iuZ3e8AmgImYiIiMioYhi44WnYsQ0ApKuOx4vOBaDtmJuoeOlTWIntBFseI9jyGL5dRnzGpw96Wivbc9apWtrncT9QQ2zWv2Gk9pGuPa0wr0VERjW1R5AByQ8iS+0BL1nkaEREBq9swzfzCVsvOBGA6NYbwPeH5XpWZyZpqyFkIiIiIqOLl+1rC5CY3DUQLF27kqYVL9F08vMkJ74HID/D4ECMdDOm0wKAG5nZ77rO+V+j4+ifgGEdWuAiMqYoaSsD4gfq8M0wkOntIyIymhjpFuz2NQA0nfwcTSc/g29GsTvWEWh+dFiumau01RAyERERkdEl19fWNyySk9/b86Bh4JbNI1X7JgDMAcx9seJbgWzhwABaKYiIgJK2MlCGgZttkWCpRYKIjDKBlicw8HEic3DL5uMHakhM+SAAkTd+VvDrGU4bVrYHuFt+RMHPLyIiIiLDx43OAyBV95Z+B8p2tRA8eNLWzCZtD1RlKyKyPyVtZcC8/DAyJW1FZHQJND8GQLpmRf6x+IxPARDc9zfMAdzWNhhWrp9taAp+oKag5xYRERGR4ZWY9jE6536ZjiN/1O8aNzwNGFhRkxXfknlOZFYhwhORcUJJWxmwwfyjJCJSSgLNqwBI15ySf8wtW0Cy7kwMfCLbfl7Q62kImYiIiMjo5dsVxOZcka+m7YsXmgKAmW4AN3HA83UlbVVpKyIDp6StDJiXTdqq0lZERhPDacdufxHoWWkLEJ+ZmfQb3vEbDKetYNe0Ol4GNIRMREREZKzyA7X4ZgQAM3nguS+5pK0XmT3cYYnIGKKkrQyYkrYiMhrZLU9i+C5ueCZeZHqPY+na03EjszHdjnwLhYJcs/NVQElbERERkTGrx9yXA/e1NdUeQUQOgZK2MmBqjyAio1Ew38/2lN4HDQOnYhEAVmzj4M+9714CTY/0etzOVtq6ZRpCJiIiIjJWDaiwyXex4m8Aao8gIoOjpK0MmAaRicholOtnm9qvNUKOU5aZDjzYpK3d9gJVqz9A1fNnY7e9mH/cSO3DTO3NnLtcSVsRERGRsSrX89ZK9l9payZ3YfhpfMM+YI9cEZH9KWkrA5a79cN02zHSrUWORkRkANxO7LbngX4qbQE3OhcYfNI2uum7ABi+S/nLl4CXBt+nfP0VADhlR4JVdqiRi4iIiEiJc0PZ35EP0B7Bim0BskVQhjUSYYnIGGEXOwAZRawoXqAWM92EmdiOG6gqdkQiIgcUaHkaw3dwQ1Px+ukh5kYHX2lrta8ltO+v+Bj4diWB9jVEt1yPb0UJ7/49vmHTceQPC/ESRERERKRE5SpnD3Q3qvrZisihUqWtDIqbbZFgJbYVORIRkYMLNj0EZKtsDaPPNflK28Q2cON9rols/gHlr1yKkW4GoGzT9wBITjqHjiO+D0B007WUvX4VAJ0L/pN0zcmFeyEiIiIiUnLy7RESO/tdY+WTtrNHIiQRGUOUtJVB6fok8cDTMUVEii24524iW/8LgFT9Gf2u8wN1eHbmzgErvrn3AreTsg3fILL9JmqeWklo528J7b0bgNicy0lO/gDJ+rdj+GkM3yUx+QPEp/9rwV+PiIiIiJSW3LBuM9l/pW1X0lZDyERkcJS0lUHJTce0NIxMREpYcO+fqVz78UwS9bAPkpz8z/0vNoyuatvODb0O250bMPAzx+NbqHzpYgCSE9+DW34UGAYdR16PG5pCuuoE2o/6cb9VvSIiIiIydni5nrbpZnBjfa6x4lsBcKOzRiosERkjlLSVQcm1RzjQJ4kiIsUUaHqUyjUXYvgOickfoP3onx506MOBhpFZnesBSFcsIjnhnfnHO+f8e/7PXngKTae+TMsJfwcrWoiXISIiIiIlzg9U4VkVAFj93I2a62nrhVVpKyKDo6StDEq+PUJcPW1FpDSFt9+E4adJTjyL9qNvHNCU3gMNI7M6XwPAqVxC26Lf0nbMf9O66Le4Fcf0XGiYmf+JiIiIyLjhhacAXcPIIpt/QO3DC7DbXgA3hpXaA6jSVkQGT79dyqDkqtHszlfA94scjYhIb7m+tInDPgimPaDndFXa9m6PYMVez6wpWwCGQXLy+0lNfFeBohURERGR0Sxf2JTcCb5LdOtPsFK7KX/1snxrBM+uwrdrihmmiIxCStrKoDjlR+MbQcx0M2ZfA3tERIrMimXemwYzofdA7RHsbHsEt2xBAaITERERkbHEDXXNfbFbn8VMNwAQaH2G6JYfZNZEZmrmgYgMmpK2MjhmEKdiIQCBtueLHIyISE9GuhnTaQEGdwtaPmmb2oPhtHcd8N38cDJHSVsRERER2U++0jaxg9C+ewHwrTIAwrt+l1kTmVWU2ERkdFPSVgbNqVwKgN2qpK2IlJZcla0XnAjZH5YHwg9U4wXqs+foqrY141sx/BS+GcbLDmIUEREREcnxwl2VtsF9fwOgY8G1uKEp+TVuREPIRGTwlLSVQUtXHQdAoO25IkciItKTlZ3OO5jWCDl9tUjIt0aIzh/QQDMRERERGV/c7CAyu+057M5X8A2L5KR30znva11rVGkrIodASVsZNKcyk7S1214Ez8k/brWvAzdRrLBERPK9tt3oISRty+YBPZO2VmdmCJlTNr8A0YmIiIjIWONle9qa6WYA0tUn4wdqSB52LumqE4Cu36FFRAZDSVsZNLdsPp5VjuHFsLJVaME9f6T2yZOpXPfJIkcnIuPZoQwhy+mqtN3Qdb7O1zLH1M9WRERERPrgZnva5qQmvCPzB8OkZekfaVr2BE7V0iJEJiKjnZK2MniGhVO5GOgaRhZ540YAQnv/mKnAFREpAmsIlbZOtHelbb49QtnhBYhORERERMYcuxzPrs5/mcwlbbPH3IqjRz4mERkTlLSVQ5IfRtb2PFbn6wRbHssfi27+bt9P8j3sthfUQkFEhk0+aVuInra+n7+bwFGlrYiIiIj0w8tW2zplh+Nlf6YUERkqJW3lkOSTtq3PE95xS+ax8mPwMQjt/XOmv+1+opu+S81TK6l9bAnhbTeBlxrRmEVkjPOSmIkdwKEmbecAYKabMNJNGOlGTKcFHwM3W4UrIiIiIrI/N5zpa5vqXmUrIjJEStrKIUlne/LYHesI77wNgM65V5KcdA4A0c3f6/kEN0bkjZ8CYCV3UPHqpdQ+dhxWxysjF7TIOGa1r6Ny9Qfzg7XGIiv+BgY+vlWGH5xwCCcoww1PByC0+858awQvMhOsSCFDFREREZExJD7z8yQmnUNsxiXFDkVExhAlbeWQeOGZeIFaDD+NmW7ADU4mVf82YnMuByC05+4eCdnwrjswnRbcyCw6Dv8ObnASVmIr5euvKNZLEBlXyl/7D0L7/kp4+6+KHcqwsWKbgGyVrWEc0jliMz8LQNnrXyPQ+AAATnR+YQIUERERkTEpXbuC9mN/jR+aVOxQRGQMUdJWDo1h5FskACSmXgCmjVt+FMmJZ2PgU77+cvBd8L18lW18+sXEZ3yKlhMfwDdsgk3/wG55slivQmRcMGObCDY9nPlzcmeRoxk+5hCGkOUkpl9EunoZpttBdPN1mfOpn62IiIiIiIiMMCVt5ZCluydtp3w4/+fOeV/BN6MEmx6mbMO3CDQ+iN35Gp5VQWJqZp0XmUFiyvkAlG36zsgGLjLORLJ9pwHM5J4iRjK8rPgWANzIrEM/iWHSftQN+GYIAz9zvrLDhx6ciIiIiIiIyCAoaSuHLFV/JgDJCe/C61bZ5pYtoP3oGwCIbvkBFa9+EchU4/p2ZX5dbNYX8Q2LYOMD2K3PjGDkIuOIlya889b8l2ZyVxGDGV5WLFtpewhDyLpzy+bTOffL3b5Wpa2IiIiIiIiMLCVt5ZA51SfRdPKztB1zU69jycnvy/eGtOJb8DGIT7+4xxovOpvkYecBEN303eEPWGQcCjbci5nai2+GALCSu8H3ixzV8LAK0B4hJz7jMyTrzsQpO5J05eIhn09ERERERERkMJS0lSFxyxaAFe3zWOe8b5CqORWA1IR34kXn9F4z+zJ8TEIN92G3vTCssYqMR+EdvwYgPvVCAAwvhuG0FTGiYeJ73dojDD1pi2nTtuT3NJ/8VL/vcSIiIiIiIiLDRUlbGT6mTdui2+hYcDXtR17f5xIvOpfk5PcCENr1vyMYnMjYZya2E2y4H4DE9Ivx7OrM48ndRYxqeJjJPRheAt+w8MLTC3NSwyjMeUREREREREQGSUlbGVZ+oJr4zM/ghyb1uyY58d0ABBvvH6mwRMaF0K7fYeCRqjkVt2weXmgyMDb72uZaI3jh6WAGihyNiIiIiIiIyNAoaStFl649Dd+wsDtfxYxvK3Y4ImNGqOH/AEhOylSze6HDgLGZtDXjhRlCJiIiIiIiIlIKlLSVovMD1TiVxwMQbHygyNGIjA1GugW79WkAUvVnAOBlK97HYnsEK7YJUNJWRERERERExgYlbaUk5JJKapEgUhiBpocxfBenbAFeZCbQrdI2NQaTtontALiRGUWORERERERERGTolLSVkpCqyyRtA03/AC9d3GBExoDcByC5v1tAt562Yy9payZ3AuCFpxY5EhEREREREZGhU9JWSoJTuQQvUIfptBFofabY4ch456WwW54GL1nsSA6N7xNs6J20dbOVttZY7Gmb2AGAF1LSVkREREREREY/JW2lNBgmqbrTAQioRYIUWXTTtdQ8cwa1qxYT3nYTeKlihzQoVuerWMkd+GaYdM0p+ce7BpGNsUpb38dKZCpt3fCUIgcjIiIiIiIiMnRK2krJyFUE5ioERYoltPcvAFjJHVS8eim1jx+Pme2ZOhrk/g6la1aAFck/3tUeYRf4flFiGw6G04LhxQDwQkraioiIiIiIyOinpK2UjFTdWwAItK/GSO4pcjQyXhmpBuzOVwHomPcNvOBErPgWwtv/u8iRDVy+n239GT0ezyVtDS+J4TSPeFzDxcxW2XqBOrDCRY5GREREREREZOiUtJWS4Ycmkq5YDECw6ZHiBiPjVqD5MQCc8qOIz76UzrlXZR5vebKYYQ2c25l/Dam6M3seM0N4gZrMH8dQiwQrmeln62oImYiIiIiIiIwRStpKSXEqFwFgxV4vciQyXgWaVwHke8Gmq5dnHm99blT0tg02PYLhp3Ajs3Cj83odH4t9bfOVtmqNICIiIiIiImNESSVtb7/9ds466yyWLl3K0qVLOffcc3n44YcBaGlp4Vvf+hZve9vbOPbYYznttNP49re/TXt7e49z7Ny5k4suuohFixaxfPlyvvOd7+A4To81Tz31FOeccw4LFy7kzDPP5K677hqx1ygH5kZmA2DFNxc5Ehmvgrkq1ZoVALhl8/ECNRheHLv9xWKGNiDBfX8Dsj2iDaPX8R59bccIM1tp66nSVkRERERERMYIu9gBdDd58mQuu+wyZs6cie/73H333VxyySX84Q9/wPd99u7dyxVXXMG8efPYsWMHX//619m7dy8//vGPAXBdl4svvpj6+nruuOOO/PpAIMAXv/hFALZt28bFF1/Meeedx/e//32eeOIJrrrqKiZMmMCpp55azJcvgBvNJm1jStrKyDPSTVgdLwGQrj4l+6BJumoZoYZ7CLQ8hVN1QhEjPAjPIbT3zwAkJ53d9xJV2oqIiIiIiIiUvJKqtD399NNZuXIls2bNYvbs2Vx66aVEo1FWr17NggUL+K//+i9OP/10ZsyYwfLly/nCF77Agw8+mK+kXbVqFRs2bOB73/seRx55JCtXruTzn/88t912G6lU5rbmO+64g2nTpvGlL32JuXPncsEFF/C2t72Nm2++uYivXHI8VdpKEQWan8DAxylbgB+amH88Xb0sc7zE+9oGmldhppvwAnVdSef9uNmkrTWGKm27etoqaSsiIiIiIiJjQ0klbbtzXZe//vWvxGIxlixZ0ueajo4OysvLse1MwXAuuVtfX59fs2LFCjo6OtiwYUN+zfLly3ucZ8WKFaxevXp4XogMihuZBYCZ2gdOR3GDkXEn38+2ekWPx7uStk+A7494XAMV2vtHAJITzwKz7xsputojjMVKW7VHEBERERERkbGhpNojAKxfv57zzjuPZDJJNBrlhhtuYN683sN0mpqa+OlPf8q5556bf6yhoaFHwhbIf71v374Druno6CCRSBAOh/uNrY/2kGNO7jUW7bUGq/ECNZjpZuzEFtyKhUUKZHwr+j4oklw/23TtKT1eu1u1BN8IYqb2YSU24UXnFinCA/BdQnv/BEBq0tn9/rfz8+0Rdg34v2+p7wczmUna+pGpJRvjWFPqe0JGlvaDgPaB9KY9Id1pP8j+tCdkf9oTvZVc0nb27NncfffdtLe3c99993HFFVdw66239kjcdnR0cPHFFzN37lw+85nPjEhctbVlWFbJFiYXXF1dRfEuXjEPmp6hxt4N9csPvl6GTVH3wUhLtUDHGgAq574dot1fewXUHQ8Nj1PrvAj1i4sR4YHteRhS+yBYQ9WCd4EZ6GfhHAAC6T3U1w/uv29J7od0GzhtANRMWQCB8iIHNL6U5J6QotF+ENA+kN60J6Q77QfZn/aE7E97okvJJW2DwSAzZ84EYOHChaxdu5ZbbrmFb37zm0AmYfsv//IvlJWVccMNNxAIdCUm6uvrWbNmTY/zNTQ0ADBhwoT8mtxj3deUl5cfsMq2qalzXGT7DSPzF6Sxsb1od4FXBGcQ4hk697xMPHJGcYIY50phH4y0wL7/o8r3cKNzaI5VQKy9x/Fo+QlEGx4nse0hOirfW6Qo+1f22u1EgET9u+hoSgCJPteZ8UpqAT++i8Z9bQP6GLOU94PV8Ro1gGdX09TqA+0He4oUQCnvCRl52g8C2gfSm/aEdKf9IPvTnpD9jbc9MZAiqpJL2u7P87z8ELGOjg4+8YlPEAwG+dnPfkYoFOqxdvHixdx44400NjZSV1cHwOOPP055eXm+Unfx4sU88sgjPZ73+OOPs3jx4oPGMh42TY7vF+/1OpHZhAAztnlcfc9LUTH3wUgL7r0XgFT1ij5fc7pqOfAj7JYnS+J7YqQaiWz/b3y7jFTNqQT3ZFojJCeefcD43OCkzPP9NKSa8IN1A75mKe4HI5EZQuaFp5RcbONBKe4JKR7tBwHtA+lNe0K6036Q/WlPyP60J7qUVNL2uuuu401vehOHHXYYnZ2d/OUvf+Hpp5/mpptuoqOjg49//OPE43G+973v0dHRQUdHZlBVbW0tlmWxYsUK5s2bx+WXX86///u/s2/fPq6//nrOP/98gsEgAOeddx633XYb3/3ud3nf+97Hk08+yT333MPPf/7zYr506caLzAbAim8uciQyXpiJnYR33gZA8rBz+1yTrj4JALtzPUaqcVDJzkKzW56ics2FWMkdPR737CpSdacd+MlmEC9Qj5luwEzuwi3i6yiEriFkU4ociYiIiIiIiEjhlFTStrGxkSuuuIK9e/dSUVHB4Ycfzk033cQpp5zCU089xYsvvgjAmWee2eN5DzzwANOmTcOyLG688Ua+/vWvc+655xKJRDjnnHP43Oc+l187ffp0fv7zn3PNNddwyy23MHnyZL797W9z6qmnjuhrlf65uaRtTElbGRmRLddj+ClS1aeQru37vcAP1uFE52PHXie69cd0zvsaGCPf5zryxk8pe+0qDN/Bic7Di8wi0PIEhttJ8rAPgBk66Dm80GFdSdtRPuwvl7h2w1OLHImIiIiIiIhI4ZRU0vbqq6/u99hJJ53E+vXrD3qOqVOn8stf/vKAa0466STuvvvuwYYnI8SNZpK2ZmIbeA6YJbVNZYwxk7uJ7LgZgNicKw64NjH1Qspf/zLRLT/Ebl9L28JfjmjFrd36DOXrv5SJZdJ76Tjqv/DtCvDSWPEtuJGZAzqPG5qM3bGWUMN9uGWH40VmDGfYw0qVtiIiIiIiIjIWjXyZmMhBeKHD8M0Qhu9kErciQ2TG36D6mbcS2nl7r2ORLT/G8BKkq04kXbvygOeJz/osbUf9FN+MEGy8n9rHFlO76lhqVx1L1bPvxEg3D9dLAMBuWw1AqvbNtB/zq0zCFsAM4JbNBzM4oPN40VkARLb9grpVC6l5/ESsjoN/KFaKzGSup60qbUVERERERGTsUNJWSo9h5isGrfiW4sYiY0J4xy0EWp6k4uVLCDStyj9upPYR2X4TAJ1zrsiMqzyI5NQLaD7xQZzoPEynFSu+BSu+hWDzKkK77xy21wBgxbcC4JQfMaBY+9M550t0zr6MdNUJ+IaF3fkq5a9eOiq7vVvZSltXlbYiIiIiIiIyhihpKyXJ1TAyKaBA82MAGL5L5dqPYiZ2YnVuoPq592B4cdKVS0nXnTHg87kVR9O8/AmaT3yQ5hP+TmzGpwEI7rtnWOLPyX2I4UVmDek8fnACsXlfpeXEB2g6ZTW+GSbYvIrgvr8MPcgRpkpbERERERERGYuUtJWSpGFkUjBugkDbs5k/hmdipvZR9fw5VD99GnbHWrxAPR1H/GDwlatmCKfqeJzqk0hMvRCAYNPD4HQU+AV0u2Q2aesOMWnbnReZSWzmZwEof+0q8FIFO/ewc2OY2ZYU6mkrIiIiIiIiY4mStlKSvKgqbaUwAq3PYnhJ3OAkWo77I55djd35CqbTRrp6Oc3LVuFULR3SNdyyw3EjszH8FMHGBwsU+X58P19pW8ikLUBs1qW4wUlY8c1Etv2ioOceTrnWCJ5Vjm9XFjkaERERERERkcJR0lZKUi4ppUpbGapAc6aHbbrmFLzoHNqOvRknMofYrC/Sctxf8MIFqNA0DJIT3gFAqGF4WiQYTjOm0waQ7/lcMHY5sXlfASC66bsYqcbCnn+YmMls0jY8ZUg9fkVERERERERKjZK2UpLcyBwgezv4KByOJKUj0JLpZ5uuWZH5/7rTaV6xms75XwczULDrpCa8E4DgvnvBdwt23pzcEDIvOBGsaMHPn5hyPk750ZhOC+Gdtxf8/MPBTGT72YbUz1ZERERERETGFiVtpSS5kZn4GJhuO0Z6dFT9SQnyUgRanga6krbDJV29HM+uxkw3Yrc+W/DzD0c/2x4Mi/i0jwEQ2nv38FyjwKzEGwCFqZYWERERERERKSFK2kppssL5wUJWbFORg5HRym57HsOL4wXqccsOH96LmQFS9WcAENr3t4KfPldpO2xJWyA14Sx8DAKtz2Amtg/bdQrC9wntuRuAdOXQehKLiIiIiIiIlBolbaVkueWZJFt0yw/B94ocjYxGwW79bEei52lXi4RhSNrGtgDD0M+2Gy98GE71MgBCe/80bNcpBLvtWeyOl/DNMMnJ7y92OCIiIiIiIiIFpaStlKzOuV/BN4KE9v2V6JYfFDscGYVyQ8hSNaeMyPVSdWfgGzZ253rslqcKem4rnhnK50ZmF/S8+0tOOhuA0J4/Dut1hiq8/dcAJCe9Bz9QU+RoRERERERERApLSVspWU7VcXQccR0A0Q3fItD4QJEjklHFSxPIJk6Hu59tjh+oJjnpPQBUrv0YRqqhYOc2c4PIhrHSFiA58d0A2C1PYiZ3D+u1DpXhtBPecycAiakXFjcYERERERERkWGgpK2UtMS0jxKfeiEGPpVrP46R2lfskGSUsNtXY7ideIEa3PKjRuy6HUf8ECc6Fyuxncq1HwPPGfpJfRcrsQ0Y3p62AF54GumqEzDwCe7987Be61CFdt+J4XbilC0gXb282OGIiIiIiIiIFJyStlLyOo74Hk7ZAsx0M8HGfxQ7HBkl7LbVAKSrTgBj5N7q/EAVbYtux7fKCDY9TNmGbwz5nGZiJ4afxjcCeOEpBYjywJIT3wOUbouE8I6bAUhM+eiI9CoWERERERERGWlK2krpM0P5ajor9lqRg5HRwu58FWBEq2xz3PIjaTv6pwBEt/4Iq3PDkM5nxbdkzhueDoY11PAOKjkp0yIh0LwKI7l32K83GFb7WgJtz+MbARJTPljscERERERERESGhZK2Miq4ZYcDYHUqaSsDY3WsB8DJ7p2Rlpp0DqmaNwEQaHpw0M83nHbwUkBX0taLzipUeAfkRWaSrlyKgUfZpmtH5JoDFdrzBwBSE96JH6wvcjQiIiIiIiIiw0NJWxkV3Oh8AGwlbWWA8pW2ZUcULYZ03WkABJseHtTzrI5XqX30KKqffQf4Lma+0nZWYQM8gM75mbYOke3/D7tp1Yhd92CCzY8BkKo/s8iRiIiIiIiIiAwfJW1lVHDKFgBgxTaA7xY5Gil1RqoRM5W5rd/N7p1iSNWeBkCg6dGB71vfpeLlT2M6rQRanyG849au9ggjVGkLkK5dSXzqxwGoeOkScGIjdu1+uXHs1ucASNWcUuRgRERERERERIaPkrYyKniRGfhmGMNLYsa3FjscKXG5NhpueDq+XVG0OJzKJXh2FabTkh+MdjCRrT8l0Pps/uuyjd/C7ngZADcyaxii7F/ngm/ihqZixTfDmq+M6LX7Emh9BsNP4Yam4EXmFDscERERERERkWGjpK2MDoaFG50HqEWCHFxXa4Ti9LPNMyzSNSsACAygRYLVuYGyjd8CoP2IH+BE5mCm9mJ3vARkes2OJN+upOPI6zNfvPrDfJ/gYgk0Z9o0pGtOAcMoaiwiIiIiIiIiw0lJWxk18i0SOl8vciRS6qxs0tYpYj/bnFTtSmAAfW19n/KXP4PhJUjVvpnEtE/QueBbPZaMdKUtQGrC20jVnQ74BPfdO+LX7y6Q7WebS4SLiIiIiIiIjFVK2sqo4ZZlhpFZMVXayoHZHdlK2/LiJ23Tub62LU+Am+h3nd36DMGWx/HNKO1H/RgMg9SEfyKVTVB6dhV+oGYkQu4lN/Qr0PSPolwfAC9JoPUZQElbERERERERGfuUtJVRI3eru91Z3Fu0pfRZ2T3iFLs9Apl96wYnY3gJAq1P9bsutO8eAJIT3t7VBsEw6FxwDZ5VTrr2TSMRbp/yiefmJ8BLFiWGQOtzGF4CLzgx3ypFREREREREZKxS0lZGja72CKq0lf4Z6Vas5E6gBHraAhgG6bpMi4QD9bUNNmSStqkJ7+zxuFO5iKZTX6bt2FuGL8aDcMuPgvBEDC9GoOWZosSQ62ebqlmhfrYiIiIiIiIy5ilpK6OGG52Hj4GZbsJINRY7HClRuSpbNzQFP1Bd3GCyUtlK1WA/7QXM+BbsjpfxDSvfiqA7P1ANhjV8AR6MYcCk04HitUjoMYRMREREREREZIxT0lZGDyuKF54BqEWC9C+3N0qiyjYrnR1GZrc+jxl/o9fxXGuEdPXJRetbe1CT3gIMYKDacPBSBFoyrSXUz1ZERERERETGAyVtZVTJDyNTiwTph9WZGULmlMAQshwvPI1UzQoMPCpe+Rz4fo/jwX251gjvKEZ4AzP5DADstmcxnLYRvbTd9gKGF8cL1OGWlc5/VxEREREREZHhoqStjCrqaysHY3VkkralltzrOPJH+GaIYOODhHbeln/cSLd29Wutf3uxwju48lm4kVkYvkug+bERvXSg5UkA0jUnq5+tiIiIiIiIjAtK2sqokrvl3VJ7BOkm0PQoVvtaoKs9glNiSVu3bD6dc78MQPlrV2ImdgEQbLwfw3dwyhbgls0rZogHlc725j3QQLXhYLc9n7l+5fEjel0RERERERGRYlHSVkYVN1tpa8deL3IkUirsttVUP/cuap88hcoXPoCVyPSMze2VUhKf8RnSlUswnRYq136U0O67CO2+E4DUhHcWObqDS9VlevOOdF/bQGsmaetULR3R64qIiIiIiIgUi13sAEQGI9cewYxvBTcOVqTIEUmx5VoLAIQa7gXAC07ED9YVK6T+mTbtR/2UmqfeRKDlyfxt/wDJ+hLuZ5uVH6jW8RJGci9+aOKwX9NINWAltgLgVCwe9uuJiIiIiIiIlAJV2sqo4gfq8exqDHwsVdsKYLc+B0B86oUkJv8zPgap7G38pcitOJqWE+8nNuNTOOULAXDKDsepPrHIkR2cH6zHic4FutpQDLdAtjWCE52PH6gakWuKiIiIiIiIFJsqbWV0MQyc8qMJtjyG3b4Wt+LYYkckRZZL6iUnnU267i10HPE9fLu0k3tO5RKcyiV0Aka6Bd+KgmEVO6wB8UKHQWwjZmrPiFzPVmsEERERERERGYdUaSujjlO5GAC77cXiBiJFZ6SbsOKbgUwiFMAP1I6aBCiAH6gGM1jsMAbMC2ZaIpjJ3SNyvdwQMqdSSVsREREREREZP5S0lVHHqVwEQKB9dXEDkaKz214AwI3MziRrZdh5ockAmMkRqLT1/XwldVpJWxERERERERlHlLSVUSc3jMhuXwu+e+DFvk900/eIvPHT4Q9MRlygVQm9kZZP2o5AewQzuQMztRffsHHUCkVERERERETGESVtZdRxy+bjm1EMtxOrc8MB10a2/ICyjd+ifP2XsFufHaEIZTgYqUaqn3kbFesuBt8Hut06X3VcMUMbV7raIwx/0jbfz7b8KLAiw349ERERERERkVKhpK2MPoaFU3EMAPYBWiQEGh+gbMO38l9HN313uCOT4eK7VK79OIGWJwjv+i1269NAV9I2Xamk7UgZyUrbgPrZioiIiIiIyDilpK2MSun8MLLVfR4341upXPtxDDyS9e/AxyTUcG+/66W0RTf+J8Gmh/JfR974GWZiF1ZyFz4mTqVunR8pXnASMDKDyDSETERERERERMYrJW1lVHJySdv2F/OPGU4bod2/p/zlz1P9zFsx082kK5fSduyvSR72z4CqbUej4N6/ULb5+wB0zr4MgNDePxLc+ycA3PIjwSorWnzjTb7SNt0EXmr4LuR7+UFz6SolbUVERERERGR8UdJWRiWnYhEAdvsa8D3wklQ//RYq136cyI5fYSV34Yam0LboVrDCxGb/Oz4GoX1/wWpfW+ToZcDcGBUvfRqA2IxPE5v3VVK1KzF8l7IN3wQ0hGyk+YEafCMAgJnaO2zXsWIbMZ1WfDOMW3bksF1HREREREREpBQpaSujklt2BL4ZxnTasGKbCO/4DXbnerxADbEZl9C6+Hc0nfwsXnhadv0CkpPeC0DZpu8VM3QZhEDbakynBTc4mc75mf7E8RmZJK7ptgO6dX7EGWa3YWTD1yLBbl8DkOlfbQaG7ToiIiIiIiIipUhJWxmdTBun/GgA7NZniG75AQCdc66k8/BrSE14B9jlPZ4Sy95aH9z3Z3DjIxuvHJJ8T9Oq4/OJu1T923Ajs/NrHN06P+K8UK6v7fBV2pqJHQC4kVnDdg0RERERERGRUqWkrYxaub62ZRu/jZXYjhucTGLqR/td75YfhReox/Bd7I6XRihKGQq79Tlgv8SsYRKb8SkAfCOYT97LyMn3tU0NX6WtmdyVvdaUYbuGiIiIiIiISKlS0lZGLadiMQBWYhsA8VmfByvc/xMMA6cy2wu3bfUwRyeFEMhW2u7ftzYx9cMkJ/wTsTmXgxksRmjjmhfMVdqORNJ28rBdQ0RERERERKRU2cUOQORQ5RKwAF5wAvFpHzvoc9KVSwg2PoDd/uJwhiYFYKQaseKbAXAql/Q8aJXRtvj2IkQlMDLtEazkTgDcsCptRUREREREZPxRpa2MWk75Ufkp9rGZnwcrevDnVKjSdrSw214AwInMwQ/UFDka6S5faTus7REy5/ZChw3bNURERERERERKlSptZfQyg8TmXI7dvob49E8M6Cm5Prh2x8vgJcEM9V7ku9jtawk0PYrdsYbElAtI164sYOAyEIH8EDINGis1+Z62yT3DcwHf79YeQUlbERERERERGX+UtJVRLTbnikGt98Iz8OxqTKcFu+OVfBI3x0zspPrpt2Ald+Qfs2KbaDnxgUKEK4Ng55K2lUralpp8e4TU8CRtjXQThpfMXks9bUVERERERGT8UXsEGV8MI98fta8WCcF9f8NK7sA3o6SrlwFgxTaPZISSZbfmhpAdV+RIZH9dg8j2gO8X/Pz5KttAXd/V8CIiIiIiIiJjnJK2Mu7kBpj1NYws0PIkALFZn6N18f8CYKYbwOkYuQAFM7ETK7UbHxOn8thihyP78UITATD8NEa6qeDnV2sEERERERERGe+UtJVx50DDyHJJ23T1MvxAFV52AJYV3zpi8UlXawS3/EiwyoocjfRihvJ/N4ajRYKVTdq6StqKiIiIiIjIOKWkrYw76fwwsnXgpfOPm4mdWIk3MtWdVScA4IZnAWDFt4xwlONbLmmbVj/bkuUFh28YmSptRUREREREZLxT0lbGHS8yG8+uxPCSWJ3r84/nqmydimPw7QoA3OgsQEnbkRZofQ7QELJSlhsQZiZ3F/zcZiKbtA0raSsiIiIiIiLjk5K2Mv4YZp8tEuxc0rb6pPxjXmQmAKaStiPHc7DbXgDAqVLStlTl+tqaqb0FP7eZ3Jm9hpK2IiIiIiIiMj4paSvjUi5pG2hfnX+sez/bHDcyC1Cl7UgK7f5fTKcFL1CHU350scORfnS1RxiGStvsOZW0FRERERERkfFKSVsZl5xcX9tsRSdOB3bHWgDS1cvz67qStl2DyIxUAxXrLu56rhSO7xLd/D0AYjM/C2awyAFJf7zQJGB4krZWvtJ2SsHPLSIiIiIiIjIa2MUOQKQY0tlBY4HWZwg0PQq+i+G7uOHpeOGp+XVutj2CFd8Kvg+GQeSNGwnv+i1mYgetx/+lKPGPVaHdd2HHNuAFakhM/2Sxw5ED8ILZpG1qL7hxqlafh+G00XL8X8GKDuHEaYzUPgBcVdqKiIiIiIjIOKVKWxmXvOhs4lM/DkDFy5cQbHoIgHS3frYAXng6PiaGF8fI9u4MtD6T+f+WJ8DpGMGoxzjfI7r5uwDEZ1ySHwYnpan7ILKKV79IsOkhAm3PEdn+30M6r5nag4GPb9j4wfpChCoiIiIiIiIy6ihpK+NW54Jv4oamYsW3ENn6Y6BnP1sAzCBeeBqQ7Wvre9htzwFg+GmCzY+OZMhjWnDvH7E71+PZ1cSnX1zscOQgcu0R7NjrhHfeln88suVH4MYP+bxmclf2/JPB0D9RIiIiIiIiMj7pN2IZt3y7ko6jfgSA4btAz362OV0tEjZjdb6G6bTljwUb/j4CkY4PZZu+D0B8xqfwA1VFjkYOJtceIadz7ldww9OxUnsI7/j1IZ/XTOSStmqNICIiIiIiIuOXkrYyrqXq30risA8B4NmVuOVH9VrTfRhZrjWCb0YACDben+l1K0Nixrdhd6zFNyziM1RlOxr4dmX+70Fy4nuIzb6M2KwvAhDd8kNwE+ClMn2KW54c8Hm7Km2VtBUREREREZHxS4PIZNzrOPwaDLeDVM0KMKxex718pe0WzMQOABJTLyC8/Was+Bas2EbcsnkjGvNYE2heBYBTsRg/UFvkaGRADIPOOVdgt6+h46j/AsMgMfUCopu/h5XcScXLnyHQ8hRWYiu+GabxTa/hB6oPelorm7TVEDIREREREREZz5S0lXHPD9TQtujWfo/nKm3N+FbMdDMAqdo3Y3W+RrDpYQKN9ytpO0SB5scASNesKHIkMhjx2V/s+YAZIjbrUirW/zvh3f+Tf9jwEgT33UNyygcPek4zuRNQpa2IiIiIiIiMbyXVHuH222/nrLPOYunSpSxdupRzzz2Xhx9+OH/8d7/7HR/+8IdZunQphx9+OG1tbb3O0dLSwr/927+xdOlSjj/+eK688ko6Ozt7rHn11Vf50Ic+xDHHHMPKlSv55S9/OeyvTUavXNLW7ngZq+NlAJyq40nVnQFkWyQcgJnYSXj7f4PbecB141mu0jZdc0qRI5GhSkz9KE75QrzgBDrm/yexmZ8HILT3j30/wfcJ7boDq30dAGZyN6CkrYiIiIiIiIxvJZW0nTx5Mpdddhl33XUXd955J8uWLeOSSy7h9ddfByAej3Pqqafyr//6r/2e47LLLmPDhg386le/4sYbb+TZZ5/lq1/9av54R0cHn/jEJ5gyZQp33XUXl19+OT/5yU/43e9+N+yvT0anfKVtugkDHzc8Ay80uStp2/Ropn9nP8o2fI2KV75A5dp/Ad8biZBHFTOxCzu+CR+zz0FwMspYYZqXraJx5Ubisz5LIltdG2x8AMPp/UFboPkxKtddRPWz78RI7lGlrYiIiIiIiAgllrQ9/fTTWblyJbNmzWL27NlceumlRKNRVq9eDcCFF17IRRddxKJFi/p8/saNG3n00Uf59re/zaJFizj++OO56qqr+Otf/8qePXsA+NOf/kQ6nebqq69m/vz5vOtd7+LDH/4wv/rVr0bqZcoo4wcn4JvR/NfpquMBcMuPwg0dhuHFCbQ83u/z7dZnAQjt+yvRLT8Y3mBHAcNpw4y/kf+6q5/tsfiBqmKFJYVkdP3T4pYdiROdj+ElCe67r9fSQPMjAJhOCxWvXtZVaRueMjKxioiIiIiIiJSgkkradue6Ln/961+JxWIsWbJkQM954YUXqKys5Jhjjsk/dvLJJ2OaJmvWrAFg9erVHH/88QSDwfyaFStWsHnzZlpbWwv7ImRsMAzc6Kz8l07VCfnH89W2++7p+6lOO1ZsU/7r6IZvEWg4cDuFsa5y9QepfWwpdsvTQPd+tmqNMCYZBslJZwN9t0gItDyV/3No7x8xs9W4XmjyyMQnIiIiIiIiUoJKbhDZ+vXrOe+880gmk0SjUW644QbmzRvYkKeGhgZqa3tOnrdtm6qqKvbt25dfM23atB5r6uvr88eqqvqv9DOMwbyS0Sn3GsfDax0MNzITO9fPtvqE/PcnNelsIjt/Q3j3/xBb8C2wwj2eZ3e+nGmpEDqMdP3bCO+4mcp1n6Bl+ZN44dK9/XvY9oGbINDyOIbvUv7af9B64v0EWrKVtrUrtO9K1FD3Q2rSeyjb/H2CDf+H4XaAXZ454DkEWjPJ++TEdxPa+6fMw1Y5BCrRdihd+rdCutN+ENA+kN60J6Q77QfZn/aE7E97oreSS9rOnj2bu+++m/b2du677z6uuOIKbr311gEnbodLbW0ZllWyhckFV1dXUewQSkvtAth3D5hBqmevACuUffw9sH46Zmwb9fH7YdYHez6v6TUArLolWCtuhPuex2xZQ23s7zDtkpF9DYeg4PugaQP4LgCB1meob7oZOl8DDCrnvhVC2nel7JD3Q93JsG4uRsdG6lOrYPI/Zx5vej4zoC9QRei0O+C+E6F1HWZ0CvX12gujgf6tkO60HwS0D6Q37QnpTvtB9qc9IfvTnuhScknbYDDIzJkzAVi4cCFr167llltu4Zvf/OZBn1tfX09TU1OPxxzHobW1lQkTJuTXNDQ09FiT+zpXcduXpqbOcZHtN4zMX5DGxnZ8v9jRlI4wUygH0uXH0NqcAlL5Y9HJ5xPddC2pV26krfyfejyvfNczhIFY6ChizSnKqt5EpGUN8X2v0lnbPqKvYTCGax+EdjxFBeBjYuDhP/9FDMApP5qW9gC0l+73ZDwrxH6I1r+baMcPSb5+B+3RtwMQfuMByoFU5Qm0tThYR95A1XPvJVH3DmIN2gulTP9WSHfaDwLaB9Kb9oR0p/0g+9OekP2Ntz0xkEKlkkva7s/zPFKp1MEXAkuWLKGtrY1169axcOFCAJ588kk8z+PYY48FYPHixVx//fWk02kCgQAAjz/+OLNnzz5gawRgXGyaHN8fX6/3YBKTP0Cg6VHi0z7e6/sSn/JhIpu+Q7D5EYzOjXjRufljVnuml3K64hh8H5zILADM2JZR8f0t9D6wsi0mElMuINh4P1ZyJwCpmlNGxfdjvBvKfkhOPJvolh9m+j+nmvADtdjNTwKQrl6W+ftRsYTGlRszg8y0H0YF/Vsh3Wk/CGgfSG/aE9Kd9oPsT3tC9qc90aWk7ve/7rrreOaZZ9i+fTvr16/nuuuu4+mnn+ass84CYN++fbzyyiu88UZm8vxrr73GK6+8QktLCwBz587l1FNP5Stf+Qpr1qzhueee41vf+hbvete7mDRpEgBnnXUWgUCAL3/5y7z++uv87W9/45ZbbuFjH/tYUV6zjA5+sI62xbeTrj+j1zEvMp103VsAiOy4pdsBJ98H1y0/Jrt2FgBWfMuwxluq7PZ1QGaYW+e8r+YfT9esKFZIMkKcyiWkK47F8OKEt/8afJ9ASy5pu7xroVFS/yyJiIiIiIiIFEVJVdo2NjZyxRVXsHfvXioqKjj88MO56aabOOWUzFT5O+64g5/85Cf59eeffz4A11xzDe9973sB+P73v8+3vvUtPvrRj2KaJm9961u56qqr8s+pqKjgpptu4pvf/Cbvfe97qamp4dOf/jTnnnvuCL5SGWviUy8k2Hg/4Z230Tn3KjADWLENGF4C3yrDjc4BwI3MBsCKb858dDQeem50Y3e8BIBTcTRO5VJSu3+PFdtAuva04gYmw88wiM/4FIGXPkVk2y9ITno3VnInvmGTrjqu2NGJiIiIiIiIlBTD91V0PBD79o2P/oqGkemr0dAwPnqIFIyXpu7RIzFTe2k99lZSk95NaNf/UrnuE6SrTqLlxL9n1yWpf2AiBj4NKzfiBycUN+5+DMc+MJJ7qX9kHj4GDafvBKtsXCauR6OC7QcvSd2jR2Gm9pGsfwehhntIVy6l5aR/FCpUGSH6t0K6034Q0D6Q3rQnpDvtB9mf9oTsb7ztiQkTDt7TVvehihSCGSAx5QIAoluvB9/H7lgLgFNxTLd1IbzwVACs2OaRjrKoclW2bnROJmELStiON2aI+LR/ASDUcA+wX2sEEREREREREQGUtBUpmPiMf8U3wwRanyXQ9BB2dgiZU3Fsj3Vuife1NeNbCG+9AeK7Brh+G5GtPwE3dsB1+aRt+cIhxyijV3zaJ/CNYP7rdPWyIkYjIiIiIiIiUpqUtBUpEC80mfjUCwEo2/Qd7PY+Km0p3aStGd9G+cufp/axpZSv/w946qKDP8n3qHzxfMpfu5Kyjf95wKX5IWTlRxUiXBml/NBEkof9c/5rJW1FREREREREelPSVqSA4rMuxTdDBFqewEztw8fslaT08knb0mmPYLc8Re3jS4ns+BWG72Qe3HUPRqrhgM8L7bqDQPtqACLbbjrgeqvjZQCcClXajnexGZfgG0HSFUvwQ5OKHY6IiIiIiIhIyVHSVqSAvPBhJKZ+JP+1W7YArEiPNW5kNgBmbMtIhnZAZa9/HcNLkq46npbj7yVduQR8l9Duu/p/kttJ2YZvAuCbYQwvRnTrT/pe6znYna8A4JQfXejwZZRxKxbSdPJTtC49wP4SERERERERGceUtBUpsNisS/GNANC7NQKAG50FlE57hEDTKoItj+EbQdqOvZV0zckkD/sAAKFdv+v3edEt/4WV3Ikbnknbwp8DEN72C4xUY6+1VmwjhpfEt8rylcYyvnnRufjBumKHISIiIiIiIlKSlLQVKTAvPI34tE8AkKp9c6/j+Urb5E5wEyMaW1+im78DQGLqR/DCUwBITn4/GCaB1mcwYxt7PcdM7CK65XoAOud/g9TE95CuOBbT7SDyxk97rbc7uvWzNfS2IyIiIiIiIiJyIMqeiAyDzsOvofmkR0lO+VCvY36gDs8qx8DHSmwrQnRd7OYnCDY9jG8EiM26NP+4H5oEk84AILzrf3s+yY1Rse5fMLwY6aoTSU46BwyD2JwrAIhs+zlGurnHU6yOlwBwytXPVkRERERERETkYJS0FRkOhoVTuajvqlLDKJlhZGWbrgUgMeUCvMj0ngdnXwBAaPfvwPczj7lxqlafR7D5UTyrgvYjfwiGAUBqwrtwyo7EdNoI7vtbj1PZ7d0qbUVERERERERE5ICUtBUpAjeaG0ZWvKSt3baaYNND+IZNbPYXey+Ydg6+GcWObSS8/SaC++6h6sUPEWz6B55VTuvSu3C79+w1TNLVJwJgxd/ocSor9joAbvkRw/Z6RERERERERETGCrvYAYiMR26+0nZL0WKw254HIF17Gl5kZu8FgXKSE99JePfvqXi1K6nrW2W0LrkTp/qkXk/xQlMBMBM7uh70fazs1254RgFfgYiIiIiIiIjI2KSkrUgRlELSNpdYdftK2GbF51yOmWrAcDsA8K0KOuf+B071sj7Xu+FpAFjJ7fnHjHQjhpfAx8gPOhMRERERERERkf4paStSBKWQtLWSOwHwwlP7XeOWH0HrcX8a8Dlz5+peaZsbtuYFJ4IZOpRQRURERERERETGFfW0FSkCr3vSNjfka4SZiUzS1g0VrvrVy1ba5s6d+fP2HsdEREREREREROTAlLQVKQI3MhMfA8PtxEjtK0oMZjJTDXugStvBcrPtD0y3HSPdCoCVT9pOL9h1RERERERERETGMiVtRYrBDOYrT6345pG/frfhYF4BK22xyvDsaqArKZyrtHVVaSsiIiIiIiIiMiBK2ooUSTH72hpOG4bbmYmjwMPB8snobLK2qz1C4Sp6RURERERERETGMiVtRYqkmElbMzeEzK4Gq6yg53bzw8gy17DylbZqjyAiIiIiIiIiMhBK2ooUiVfMpG2i8P1sc7qGke1faav2CCIiIiIiIiIiA6GkrUiRuNHZAJixLSN+bStbaesWsp9tVq5HrpXcAV4KM7k7cy0lbUVEREREREREBkRJW5Ei6WqPMPKDyIaz0rarPcIOzOQuDHx8M4QfrC/4tURERERERERExiIlbUWKxI1kKm2t5E5wEyN67XxP2+GotO3WHiHfzzY0FQy93YiIiIiIiIiIDISyKCJF4gdq8awKAKzEGyN6bWsEKm2txE7MxLbsddQaQURERERERERkoJS0FSkWw+gaRhYb2RYJuUpbNzwcPW0zSVvDi2G3r8s8pqStiIiIiIiIiMiAKWkrUkRudBYAZnzLiF7XTOTaIxS+0hYrjBeoAyDQ8iSgIWQiIiIiIiIiIoOhpK1IEeX72o7kMDKnA9NpAcAbhkpb6ErS2m2rs9dR0lZEREREREREZKCUtBUpIjfXHmEEK22t5C4APKsC364clmvkeuUafgpQpa2IiIiIiIiIyGAoaStSRMVI2ub62Q5XlW3m3FP3+3r6sF1LRERERERERGSsUdJWpIi6BpFtAd8fkWuaiR2Za4eGL2nrhnpW1rrhYeidKyIiIiIiIiIyRilpK1JEbmQGPiaGF8NI7et/oe9Rtv4KKtZdBL43pGta2Urb4Uykdq/i9exqsMuH7VoiIiIiIiIiImONkrYixWQG80O6DjSMLLrpu0Tf+BnhXXdgdbwytEuOQKVt98Fjao0gIiIiIiIiIjI4StqKFFlXX9u+k7bBffcS3XRN/msr9vqQrmcmcj1th6/StnsVr1ojiIiIiIiIiIgMjpK2IkXmdu9rux8ztomKdRdh4OObIQDs2IYhXS8/iGw4K21DU/AxMn8OTzvIahERERERERER6U5JW5Ei86KzALDiW3odq3zpU5hOC+mqE4jN+kJmXefQKm2tbHuEYa2ANYN4wYnZ66g9goiIiIiIiIjIYChpK1JkuUpbc7+kreG0Y7c8CUDbMTfhlB8NDLE9gpvATDcAPYeFDYdcha0XUdJWRERERERERGQw7GIHIDLeuZHZQO9KW6vjZQx83NBheJFZuE5H5vHODeD7YBiDvpaZ3AWAb0bw7ZqhBX4QnXOvJLTnbpL1bx/W64iIiIiIiIiIjDVK2ooUWb6nbXInuHGwIgDY7WsAcCqOyayLzsXHwHRaMNKN+MH6QV/LSmzPnCs85ZCSvoORrj+TdP2Zw3oNEREREREREZGxSO0RRIrMD9Ti2ZUAWPE38o/b7WsBcCqOzTxgRfCy/WEPta9toPkRANzyhYcaroiIiIiIiIiIDDMlbUWKzTBwI3MAsDpfzj+8f6UtgFs2L3PsEPvaBvfdA0BygloWiIiIiIiIiIiUKiVtRUpAunoZAMGmTCUsnoPdkUng5ittASc6Hzi0SlszsZ1A+xp8TFL1bxtixCIiIiIiIiIiMlyUtBUpAem6NwMQaHwIACu2AcNL4FnleNlBZQBudF7++GDlqmyd6hMPqR+uiIiIiIiIiIiMDCVtRUpAuuYUfMPCjm/CjG/Lt0ZwKxaC0fXX1C3LVtoeQnuEUL41wjsLELGIiIiIiIiIiAwXJW1FSoBvV+JULgUg0PRwtyFkx/RY5+baI8Q2g+cM+PyG004g23ohVf+OQoQsIiIiIiIiIiLDRElbkRKRql0JQLDpH11DyMqP7bHGC0/FNyMYfhorvmXA5w40PoThp3Aic3DLFhQsZhERERERERERKTwlbUVKRLr2NCCXtO270hbDxI3OBQbXIiG0728ApCa8Awxj6MGKiIiIiIiIiMiwsYsdgIhkpKtOxDfDmKm9APiGhVN+ZK91Ttl87I51WLGNBzxfoPnx/Jpgw70ApNTPVkRERERERESk5ClpK1IqrDDp6uUEmx4CwI0uACvSa5kbnZdZ3tl/pa3V+TpVz74DAz//mGdXk65eVuCgRURERERERESk0JS0FSkhqdrT8knbXq0Rstyy3DCy/pO2wYb/w8DHDU3BqTgWMEhMOQ/MQMFjFhERERERERGRwlLSVqSEpLPDyIBssrW3gVTaBpoeBiA+41PEZ32+gBGKiIiIiIiIiMhw0yAykRLiVC7Cs6szf+43aZuttE3twUg19l7gpQk0rwJ6JoFFRERERERERGR0UNJWpJQYFu0Lf07n7MtJ176pzyV+oAqn/CgAgk3/6HXcbnse0+3AC9T0m/gVEREREREREZHSpaStSIlJTXgHsXlXgdH/X89U3RkABBvv73Usl8hN17zpgOcQEREREREREZHSpIyOyCiUS9oGGu4H3+9xLNfPNlV72kiHJSIiIiIiIiIiBaCkrcgolK5Zjm+VYaX2YHWs7TrgdhJoeTqzRv1sRURERERERERGJSVtRUYjM0SqJtPzNtjQ1SIh0PwEhp/CDU/Djc4tVnQiIiIiIiIiIjIEStqKjFKp+t59bYPZ1gjp2pVgGEWJS0REREREREREhkZJW5FRKt/XtuVJDKct8+d8P1u1RhARERERERERGa3sYgcgIofGi87Gic7Fjm0k0PQIhhvDbn8RgLSGkImIiIiIiIiIjFpK2oqMYqm6M7BjGyl/9d+wkrsASEx6L15ocpEjExERERERERGRQ6X2CCKjWDrbIsFK7sLHoHP25bQfc1ORoxIRERERERERkaFQpa3IKJaqPRU3OBnDT9G28Jek688sdkgiIiIiIiIiIjJEStqKjGZWlOZTnsM3LLCixY5GREREREREREQKQElbkVHOtyuKHYKIiIiIiIiIiBSQetqKiIiIiIiIiIiIlJCSStrefvvtnHXWWSxdupSlS5dy7rnn8vDDD+ePJ5NJvvGNb3DSSSexZMkSPvvZz9LQ0NDjHDt37uSiiy5i0aJFLF++nO985zs4jtNjzVNPPcU555zDwoULOfPMM7nrrrtG5PWJiIiIiIiIiIiIHExJJW0nT57MZZddxl133cWdd97JsmXLuOSSS3j99dcBuPrqq3nooYe4/vrr+c1vfsPevXv5zGc+k3++67pcfPHFpNNp7rjjDq699lr+8Ic/8OMf/zi/Ztu2bVx88cWcdNJJ/PGPf+SjH/0oV111FY8++uiIv14RERERERERERGR/ZVU0vb0009n5cqVzJo1i9mzZ3PppZcSjUZZvXo17e3t3HnnnXzpS19i+fLlLFy4kKuvvpoXXniB1atXA7Bq1So2bNjA9773PY488khWrlzJ5z//eW677TZSqRQAd9xxB9OmTeNLX/oSc+fO5YILLuBtb3sbN998c/FeuIiIiIiIiIiIiEhWyQ4ic12Xe++9l1gsxpIlS1i3bh3pdJqTTz45v2bu3LlMmTKF1atXs3jxYlavXs2CBQuor6/Pr1mxYgVf//rX2bBhA0cddRSrV69m+fLlPa61YsUKrr766oPGZBiFe32lKvcax8Nrlf5pH0h32g+yP+0J6U77QUD7QHrTnpDutB9kf9oTsj/tid5KLmm7fv16zjvvPJLJJNFolBtuuIF58+bxyiuvEAgEqKys7LG+rq6Offv2AdDQ0NAjYQvkvz7Ymo6ODhKJBOFwuM+4amvLsKySKkweVnV1FcUOQUqA9oF0p/0g+9OekO60HwS0D6Q37QnpTvtB9qc9IfvTnuhScknb2bNnc/fdd9Pe3s59993HFVdcwa233lrssGhq6hwX2X7DyPwFaWxsx/eLHY0Ui/aBdKf9IPvTnpDutB8EtA+kN+0J6U77QfanPSH7G297or7+4MnpkkvaBoNBZs6cCcDChQtZu3Ytt9xyC+94xztIp9O0tbX1qLZtbGxkwoQJQKZids2aNT3O19DQANBjTe6x7mvKy8v7rbLNGQ+bJsf3x9frlb5pH0h32g+yP+0J6U77QUD7QHrTnpDutB9kf9oTsiFucksAAGDcSURBVD/tiS4lf7+/53mkUikWLlxIIBDgiSeeyB/btGkTO3fuZPHixQAsXryY1157jcbGxvyaxx9/nPLycubNm5df8+STT/a4xuOPP54/h4iIiIiIiIiIiEgxlVTS9rrrruOZZ55h+/btrF+/nuuuu46nn36as846i4qKCt73vvdx7bXX8uSTT7Ju3TquvPJKlixZkk+4rlixgnnz5nH55Zfz6quv8uijj3L99ddz/vnnEwwGATjvvPPYtm0b3/3ud9m4cSO33XYb99xzDxdeeGHxXriIiIiIiIiIiIhIVkm1R2hsbOSKK65g7969VFRUcPjhh3PTTTdxyimnAHDllVdimiaf+9znSKVSrFixgq997Wv551uWxY033sjXv/7/27vv8CbL/Y/j73S3zJbRAmWV0SJDRhllKltkVhDKlq0goIKAAziAgoii7ClQKEO2eDhuAZkKCKisskvZLaMt0HTk9we/xDQFQaVNST+v6zrXsWmafkM/ee4n39zPfY+lY8eOeHp60q5dOwYPHmy5T9GiRZk7dy4TJ04kPDwcPz8/JkyYQL169TL9+YqIiIiIiIiIiIjYMphMWiniUVy9GmfvEjKFwXBvMeRr17LHws9yf8qBWFMexJYyIdaUBwHlQNJTJsSa8iC2lAmxld0yUaDAwzciy1LLI4iIiIiIiIiIiIhkd2raioiIiIiIiIiIiGQhatqKiIiIiIiIiIiIZCFq2oqIiIiIiIiIiIhkIWraioiIiIiIiIiIiGQhatqKiIiIiIiIiIiIZCFq2oqIiIiIiIiIiIhkIWraioiIiIiIiIiIiGQhatqKiIiIiIiIiIiIZCEGk8lksncRIiIiIiIiIiIiInKPZtqKiIiIiIiIiIiIZCFq2oqIiIiIiIiIiIhkIWraioiIiIiIiIiIiGQhatqKiIiIiIiIiIiIZCFq2oqIiIiIiIiIiIhkIWraioiIiIiIyN9mMpnsXYJkIcqDiMjjZTDpyOrQrl69yunTp3F2dqZQoUIULlwYuDegGgwGO1cnmUU5EGvKg9g6f/4827dvx9nZGV9fX+rXr2/vksSOlAcBjRWS3qVLlzh48CDOzs74+flRoUIFe5ckdqQ8iK1z587x1VdfkZSURJEiRWjbtq29SxI70znlv6emrQM7duwYffv2JW/evJw7d47SpUvTsmVLevbsae/SJBMpB2JNeRBbx44do3v37pQoUYLY2FiuXbtG8+bNGTp0KL6+vvYuTzKZ8iCgsULSO3bsGL169cLX15cLFy7g4eFB69atef311+1dmtiB8iC2IiMjCQsLo1y5cty9e5ejR49Sq1YtBg4cSOXKle1dntiBzikfDzVtHdT169fp1KkTDRo0YMCAAZw6dYqffvqJzz77jB49ejBs2DBAsyUcnXIg1pQHsZWQkEDv3r2pUKEC77zzDteuXePo0aMMGzaM8uXLM3r0aIoXL27vMiWTKA8CGiskvbi4OLp06ULNmjUZPnw4UVFR7N27l/fff5/mzZszbtw43N3d7V2mZBLlQWzdvXuXQYMGUbRoUcaMGYPRaOT8+fO8/PLL5MuXj1dffZWQkBB7lymZSOeUj4+LvQuQjHHr1i1cXV3p0KEDPj4++Pj4EBQUhL+/P//5z39wc3Nj8ODBOtl2cMqBWFMexJaLiwtGo9EyAyJ//vzUrVuXVatWERYWxqRJk5gxYwbOzs72LVQyhfIgoLFC0ktKSsJkMtGkSRPc3NwoVaoUpUqVolixYgwaNAh3d3fGjRtn7zIlkygPYsvDw4Pbt29bltFxcnIiICCAZcuW0adPH2bMmEGJEiUoVKiQnSuVzKJzysdHG5E5KCcnJ86cOcPJkyctt+XMmZPWrVszcuRIIiIi+Prrr+1YoWQG5UCsKQ9iKyUlhZiYGM6cOWO5LSkpieLFi7No0SJ2797N7Nmz7VegZCrlQUBjhdzf+fPn02QCICQkhA8//JANGzawYsUKO1Um9qA8iJnJZMJoNGI0GomKigL+bNgVKFCAhQsXcuLECebNm2fnSiUz6Zzy8VHT1kEVKFCAZs2a8eWXX6YZUN3d3WnWrBlVqlThwIED9itQMoVyINaUB7Hl5eXFSy+9xOrVq/nhhx8AcHV1JSkpicDAQPr378+2bdu4ceOGdoTOBpQHAY0Vkp6Pjw8dO3Zk7dq17Nu3z3K7yWSibt26tGvXjt27d2M0GnVsyAaUB7FmMBhwc3Ojb9++rF+/ng0bNgDg5uZGYmIi+fPn56233mLr1q1ER0crE9mEzikfHzVtHcTNmze5cOEC58+fB+5dotC0aVMiIyNZs2aN5VMvuHcy7ufnx8GDB0lJSbFXyZIBlAOxpjyIrStXrnDw4EF++ukny9+5cePGVK5cmQULFvDTTz8B906qAPLmzUt8fDxubm66FNoBKQ8CGiskvdjYWE6cOMHvv/9uua1p06Z4eHgQERHBb7/9BvzZrClQoADnzp3DYDDo2OCAlAexdfHiRbZv387GjRu5ceMGRqORhg0b8uKLLzJ9+nQ2bdoEYFnbOEeOHLi6uuLl5aVMOCidU2YcrWnrAI4ePcqoUaO4efMmrq6ulChRggkTJtCsWTOuX7/OnDlzSEpKol27dpQvXx6A5ORkihUrpk81HIhyINaUB7F19OhRXnnlFVxdXYmNjcXHx4fBgwfTpEkT+vbty4wZM/j000+5efMmLVu2JCkpiaioKHx8fEhNTbV3+fKYKQ8CGiskvaNHjzJkyBCSk5O5e/cuhQsX5t1336Vq1ar06tWLmTNnMm/ePDp16kSdOnVITU3lxo0b+Pn5kZKSYnlDLo5BeRBbR48epU+fPnh7e3Px4kWmTp1Kx44d6dixI/379ycxMZFJkyZx/fp1OnbsSEpKCr/99hteXl44OWnOoCPSOWXGMph0xvVEu3TpEu3bt6dt27bUrl2b69evM3fuXOLj45k8eTLBwcGsXbuWVatWcfPmTQICAnB2dmbXrl0sX76cwMBAez8FeQyUA7GmPIit2NhYunTpQtOmTWnfvj3u7u5MmjSJP/74g1atWtG3b19Onz7NypUrWb16NaVKlcLT05PTp0+zZMkSypUrZ++nII+R8iCgsULSu3LlCp06daJVq1Y0bdqUpKQkpkyZwtmzZ3njjTdo27Yt27ZtY+XKlfz888+ULVsWd3d3fvvtN5YtW0ZQUJC9n4I8RsqD2Lp58yYvvfQSISEh9O7dG29vbyZPnswvv/xC6dKlGT58OAaDgZUrVzJ79mz8/Pzw8vLiypUrLFy4kKeeesreT0EeM51TZjw1bZ9wO3bsYOLEiSxevJj8+fMDYDQa6du3L6dOnWLOnDmUL1+eX3/9lRMnTrBjxw78/f1p27YtpUuXtnP18rgoB2JNeRBbJ06coF+/fkybNo0KFSpYbp8yZQpbtmyhXbt29OrVi7t373L8+HF27tyJt7c3ISEhFC9e3I6VS0ZQHgQ0Vkh6hw4dYtiwYcyfPz/Na33YsGHs27ePkSNH0qxZM6Kiojhx4gTbt2/H19eXxo0bExAQYMfKJSMoD2LrwoULdO3alQkTJlC7dm3L7REREWzcuJHy5cvz+uuvkytXLk6dOsX+/fvx8vKiUqVK+Pv727FyySg6p8wEJnmibdq0yVSjRg1TUlKSyWQymRITEy3f69y5s6lly5b2Kk0ykXIg1pQHsXXkyBFT/fr1TT///LPJZDKZ7ty5Y/nehAkTTM8++6zpyJEj9ipPMpnyICaTxgpJb8eOHaZatWqZzp8/bzKZTKbbt29bvvfqq6+a6tWrZ7p586a9ypNMpjyIrUuXLplatGhhWr9+vclkMlnGD5PJZFq4cKGpWbNmpm+//dZO1Yk96Jwy42lRkSdc/fr1cXV15cMPPwTu7dJoNBoB+PDDD4mPj2fx4sUAWnvMgSkHYk15EFtBQUEULFiQadOmAfc2GjJn4u2338bHx4e5c+fas0TJRMqDgMYKSa9GjRrkzp3bkglPT09LJqZNm4anpyezZs2yZ4mSiZQHseXr60vx4sVZvHgxt27dwsXFheTkZAB69epFsWLFWLJkiZ2rlMykc8qMp6btEywlJQUvLy969+7Nnj17LCfWbm5upKamki9fPnx9fbl69SqAduVzUMqBWFMexJZ5B9dx48Zx8uRJXn/9deBeJswn2tWrV+fOnTt2q1Eyj/IgoLFC0ktOTsbFxYXhw4dz8OBBPvjgAyBtMz8oKIhbt27Zs0zJJMqDWDOZTJYNo9577z3i4uIYMmQIRqMRF5c/97Y3b0ZnPtcQx6Zzysyhpu0TyPzicHZ2xsXFhcaNG1OpUiU2bdrEvHnzAHBycsLd3R1vb2/LgVSzJByLciDWlAexZT65dnZ2BqBUqVK888477Ny5k1dffRWj0WjZxffatWt4eXmRnJysTDgo5UFAY4WkZ86E+W9dpUoVwsLC+OGHHxg/fjxw7w043Gveu7q6YjKZlAkHpTyIrdTUVAwGA05OTiQlJeHt7c3HH3/M6dOn6dWrF6dPnyYxMRGA48ePkyNHDjVtHZzOKTOXNiJ7gqSmplrCbzKZGDNmDC+//DKFChUiKiqKiIgIvv32W0qXLk3NmjU5deoU//3vf1m7dq0Wg3dQyoHouCB/xWQy0a9fP3r27EmdOnW4e/cuO3fu5D//+Q9eXl6ULFkSNzc3tm7dyqpVqyhbtqy9S5YMpDwIaKyQe0wmk2UGtclkYuDAgYwaNYqiRYsSGxvLf//7X+bOnUvhwoWpVKkScXFxfPPNN6xevVob0Tk45UHu56WXXqJp06aEhYUBEBkZyRtvvMHdu3fJnTs3BQoUYPfu3axYsYKgoCA7VysZTeeUmUczbZ8A169ft3xaYf7U6pdffmHbtm0sXLiQlJQUihYtSv/+/Rk7dix37tzhxx9/5OrVq6xYsUIn2w7s559/Vg6yKR0X5EGsP4u9ceMGd+7cISIigqSkJDw8PGjYsCGbN2+mUaNG5MuXj3z58rF69WqdTDko5UFs7dmzR2NFNma+tN186SrAqVOnOH78OFOmTCElJQUfHx86duzI0qVLKVasGJcvXyYlJYVVq1apQZcNKA8Cf86mNPPx8eHHH3+0zKotU6YMX3zxBT169CAkJISnnnqKtWvXqmHrwHROaR+aaZvFnT17li5dutCoUSNGjRqFh4cHcO8Fs2/fPsqUKUOePHnu+7NGo9Fy+Yo82aKioti+fTtnz57lmWeeoVy5cuTJk0c5yKZ0XBBbly9f5vLly1SqVAlIO4Pqxo0buLi4kDNnTiDt7Gzb+4pjUB4E7o0V27Zt4+zZszRo0AB/f39KlixJamoqe/fuJTAwUGNFNnPy5Ek+++wzzp07R2BgIK1bt7YcJ06fPo2Pj88DM2Fe41Qcx9mzZ/n66685ceIEderUoWrVqhQtWhRQHrKr6OhoTp48Sf369YH05wQJCQnkyJEDuLeUhvnyeHFcOqe0P820zeL++OMP7ty5w4ULF5gyZQp3794F7q0hFBwcnGYgjY+PB/5ci8jV1TXzC5bH7tixY3Tp0oWvvvqK7du3M2jQIL788ktAOciudFwQaydPniQ0NJSpU6eyd+9e4F4WzDMk8ubNazmZgnsn5KA1Kh2V8iBwb13BF198kZ9//pljx44xceJERo8ezfbt23FycqJGjRoaK7KZY8eO0blzZ5ycnChVqhRHjx7lyy+/JCkpCYCSJUumyYR5gynzjFw1ZxzL8ePH6dy5MwcPHuT8+fPMmDGDFStWWGZRKg/Zz6lTp2jfvj3vv/8+X3/9NZD2/AGwNGwBjhw5Ypm5DzqPcEQ6p8wa1LTN4nx8fChcuDBly5bl4MGDTJkyxfIisH4xLF68mBdffJGYmBjLIKpPNZ580dHRvPrqq7Rr144FCxbw5Zdf0rNnT2bPnm15g2VNOcgedFwQs2vXrjFmzBiKFSvGnTt3CA8P55dffgHubSZke9K0bt06mjRpwq+//mrJgjLhOJQHgXvNlXHjxhEWFsb06dNZunQpr7/+OgcOHGDkyJF89913ae6vscLxnT9/noEDB9KpUyfGjx/P2LFjqVWrFjdv3gSwNOrMwsPDqV27NpcvX7bMplQmHMfFixcZOnQooaGhzJgxg+XLl9O7d2/WrVvHjRs30t1feXB8MTExjB8/nqCgIMqWLUt4eDj/+9//gPufP3zzzTe0b98+zXiiTDgWnVNmHbqmIQtLTU2lYMGCFC1alFdeeYUcOXKwbds2PvnkE06fPk1ISAgdO3bEycmJfPnyUaBAAe7cuWPvsuUxSUlJ4ZtvvqFChQr06NHD8kYqNDSU9evXc/Xq1TSfbMG9Zp5y4Nh0XBBrly9fJmfOnAwcOJC4uDimTZvG0qVLAahevToGgyHNpUkhISG0bt36gZc7ypNNeRCAO3fucPPmTapXr265rXHjxgQHB5OSksKMGTPw9fWlYsWKABorHJzJZOLQoUPUrl2b7t27W26Pi4sjMjKSF154gcKFC/P888/TqlUrACpWrEjNmjW5ffu2vcqWDJKamsrOnTspXbo0YWFhljGhbdu2LFmyhKioKHx9fdP8jPLg+BISEnB3d6dnz57kzJmTBQsWsGzZMgCee+65dOcPTZs2pVevXgQGBtqzbMlAOqfMOrSm7RMgLCyMCRMmUKJECRYtWsTixYu5fv06S5YsITg4GLh3QpaQkJCuiSdPto0bN3LhwgVefvlly203b96kWbNmTJs2jRo1aqS5v3KQfei4IHDvw50TJ05YTpq3b9/O9OnT8fX1pWvXrpZjhPXac1qHznElJydz8uRJ5SEbM5lMnDhxgt69ezNmzBgaNWoE3FufctCgQYSFhbF69WpatGhB//79LT+jscKxXb16lVu3blGqVCkAZsyYwcKFCxk6dCjOzs6cPXuW//3vf8yaNcuybmFiYiLu7u72LFsyyI8//sjZs2fp2bOn5bY7d+7QvHlzRo0aRfPmzdP9jPLg+KKioixrGh86dIiFCxdy7do1unTpQosWLQCdM2QnOqfMOrQ8QhZj3UNPTU21rBNz/vx5nJ2dOXLkCLdv36ZUqVL8+OOPllkRBoNBJ9sOqE2bNpaGrTkbLi4u5MqVK82J008//cTZs2eVAwel44LYMq8l5ezsbDmZSk1NpW7dugwePJjLly+zbNkyy2VMn376KVu2bAHQyZQDc3FxoUyZMoDykF0ZDAbKlClD9erVeeutt5g1axYRERGEhoYSEhJC165dqVevnmW9wpSUFI0VDsy8RnGBAgUsDVuAK1eu8Mknn9CjRw+6du1Khw4dMJlMnD9/3nIfNegc17PPPkuPHj2AP88x3d3dyZMnT5oNCDdv3szhw4ct3xfHYz5GAJaGbWpqKpUqVaJPnz7kz5+fiIgIy1IJ48aN47///a9dapXMpXPKrEP/qllEfHw8OXPmTDPN3MnJCTc3N+rUqcPdu3cZNWoUP//8M5999hl79uxh/fr1ODs789prr2m9EAdx+fJljh07xu3btylZsmSaZox57RgnJyc8PDwsJ1VTpkxh/fr1rF271p6lSwbQcUFs3bx5kzx58uDk5JRu117z37tOnToYDAbLZUwLFy7kp59+4vnnn7dX2ZJBLl68yM8//8zt27cpVqwYderUsYwVykP2cenSJQ4fPkxqair+/v4EBQXx0UcfMXr0aL755hucnJzo27cvr7zyCgCenp6WzWS0mZBjMo8Vzs7OacYK87Fh3LhxwJ/nl7ly5aJQoUL4+PjYs2zJINZjhb+/P/Xq1cNgMKTJhpOTE15eXpb3Fx999BErV65k3bp19ixdMkhsbCw+Pj7pjhFwLwtwb1mMvn37smDBApYvX86qVavYvXs3HTp0sFfZkoF0Tpl1qWmbBZw8eZIJEybw3HPP8eKLL6ZbH8RgMDBkyBD8/PyYPXs2FSpUoFy5cjg5OVnWmJEn37Fjx3jllVcoUKAAR44coXLlyoSFhdG8eXPL4Gk+wbp16xZGo5Hp06ezbNkywsPD8fPzs/MzkMdJxwWxdfLkSV577TUaNmxouaTV/IYbSJOR2rVrk5KSwsCBA3F3d2ft2rUEBQXZ+RnI43Ts2DH69etH8eLFOXXqFAUKFODEiRP06NHD8vpXHhzfsWPHeOmllyhcuDCRkZGUKFGCatWqMXr0aMaNG2fZaMp6jbnz58/j7+9PcnIyzs7OGi8czF+NFbbHBvP4sWLFCoxGY5rZuOIY7jdWnDp1Ks1+GQBGo5Hr169jNBqZNWsW4eHhLFu2zDL7UhzHyZMn6dGjB7Vr12by5Mn3bdyaVahQgZdeeolXXnkFo9HIhg0bdP7ggHROmbWpaWtn58+fZ9CgQVy+fBkANzc32rZtm+bTzx49enDnzh2aNWtGhQoVSE1Nxd3dnb59+9q5enlczp07R//+/WnVqhV9+/blwoULfPLJJ+zYseO+60rlyZOHDz/8kIMHD7JixQoqVKhgh6olo+i4ILYuXLjAG2+8wa1bt9izZw8zZ85k4MCBODk53bdxm5SUxJYtW/Dw8CAiIsJyeZM4hqioKF5++WVatWqV5lK1PXv20KlTJ8tlrMqDY4uLi2P48OG0aNGCN954g4sXL7J9+3ZmzpzJlStXmDFjBnny5LFc/hoVFUVERATffvstK1eu1GWMDujvjBUAZ86cYdWqVaxdu5bw8HAKFChgz/LlMXvUsQLuZSJv3rxMnTqVc+fOsWzZMstmheI4Ll26xMiRI/H29iYyMpJ33nmHCRMmPLBxm5SUxH//+19u377NqlWrKFu2rJ0ql4yic8qsT2va2lFKSgqbNm2iePHizJw5E09PT9auXcuGDRsALAfPnDlzMnToUMvAaT7hEsdgNBpZsWIFVatWZdCgQeTKlYugoCBatWrFN998Q2xsbJr7JyUlERMTQ2RkJKtXr1bD1sHouCD38/XXX+Pj48MHH3xApUqV2Lp1KzNnzgSwLJVgZjAYuHLlChs3bmTBggU6mXIwycnJbNy4kXLlyvHKK6/g5uZG0aJFadCgAbt27eLKlStp7q88OK7bt2+TmppKixYt8PT0JCAggBdffJHJkyfzyy+/MHz4cODeuHH58mW+//57du3aRXh4OKVLl7Zz9ZIR/s5YceLECZYtW8b+/fsJDw/XTCkH83fHitTUVFJTU7l69SqrVq1Sw9ZBbdu2jdy5c/Puu+8SGhrKb7/9xjvvvAP8+R7DWmxsrGXcUMPW8eic8smgj9jtyNnZmaZNm+Lv709ISAilSpVi7NixlrVJ27Zti7OzMyaTyTIb4kGXLsiTKzU1lVy5clG2bNk0n3gXL14cV1dXy4ZDZt7e3vTs2ZNnnnlGB0oHpOOC3E+7du3Inz8/NWvWJCgoiJkzZ7J161YABg4cmG6pBH9/f3766Sc8PT3tWbZkEF9fXwoUKICXlxdw75K1gIAAcubMSXJycrr7Kw+OycPDg5iYGA4dOkTVqlUtt9WpU4dx48Yxfvx4IiIi6NKlC76+vjRt2pTWrVtr3VIH9nfGitKlSxMaGsrLL79Mvnz57Fy5ZIS/M1a4u7vz4osvUq1aNQICAuxRrmSCtm3bkitXLmrUqEGlSpUwmUysXbv2gTNufX19WbNmjTaic2A6p8z6NDXLzkqVKkWrVq0AKFiwIKNHjyZXrlysWbPGMrPOYDBYduRTY8bxeHh40K5dO9q1awf8uSt8wYIFLZtQmR04cACAvn37qmHrwHRcEGsmk4m8efNaMpEnTx4GDBhA5cqV2bJlC7NmzQLuzaKy3tHXw8PDLvVKxnJxcaFRo0Z07NgR+HONsbx58+Ll5ZXmBHvPnj2W/1YeHIvJZCJXrlw899xzbNu2zXJ+APcyUqdOHUJCQjh48KBld/jChQurYevA/s5YsWnTJgCeeuopNWwd1N8ZK3bt2gVAhw4d1LB1YKmpqbi5ufHcc88B984LQkNDad++PYcOHUoz43bt2rXEx8cDWDanE8ejc8ong2baZiGpqan4+fnx7rvvMn78eNauXUtqaip//PEHa9as4bvvvtNaUw6qUKFCwL0DpXmmXEJCgmVDAIBp06axadMmVq1ahbe3tzYOySZ0XBDb17rJZMLHx4cBAwYwd+5ctmzZgslkIjY2loiICKpVq4afn5+OEQ7M3Hiz3pwwISGBW7duWT74mzZtGgsWLOC7776jYMGCyoODMRgMGAwGnn/+ecaOHcvKlSvx8PCwXOKeM2dOAgIC+Oqrr0hMTNQbrGzg744VwcHBGisc3N8ZK7799luNFQ7Odik1k8lEzpw5LROH1qxZw7vvvoubmxsRERHUrFkz3QQicTw6p8z61LTNQsxrTRUqVIjRo0czYcIExo8fj8FgYPny5WrMZAPWB8Dk5GRSUlLw8PBg1qxZzJs3j5UrV2qWTDaj44LYMhgMpKam4uPjQ//+/ZkzZw5z587Fw8ODtWvX4ufnZ+8SJZNY7+ibnJxMamoqXl5ezJs3j4ULF7J8+XIKFixo5yolI1WrVo3XXnuN9957j+TkZNq0aUO9evUwmUxcuXIFf39/rXmeTT1srDBPGBDH9yhjha+vr52rlMxm3ljK3LhNTU1l8uTJ5MiRg7Vr1+Lv72/vEiUT6Zwy61LTNosxrzXl5+dHrly5cHFxYfny5boUPhvKnTs3xYoVY9KkSWzevJmVK1dq07FsSseF7Mn6E29bTk5OlllU8fHxuLq6agdXBxQXF4fJZCJ37tx/eT+DwUDu3LkpUqQI48ePZ9euXSxfvlxjhoOxPSaYv27YsCGurq7Mnz+fcePGkSdPHnx8fNi/fz/Lli3Tpa0O7GFr2musEGsaK8SWdeP2+PHjllm2OkZkXzpOZD1q2maCuLg44uPj8fLywsvLC1dX14e+GZ83bx7r169n/fr1Omg6iLi4OG7fvo2bmxteXl64u7v/ZQ4SEhI4fPgwp0+f5vPPP6dcuXKZXLFkJB0XxNalS5f49ddfAShbtiylSpX6y/sbDAZWrlzJ+vXrWbt2rTLhYI4dO8bkyZN54YUXePbZZx+64UNcXBxHjx7FxcWF1atXayd4B/Hbb78xc+ZM5syZk258ML/ZNhgM1KtXj6JFi3LmzBm2bNlCkSJFGDFixEOPI/LkOXHiBF988QWvv/56uk2D7kdjhWO7efMmV69exdnZmXz58j30Qz6NFY7PaDT+rQ/rDAYDmzdv5scff2TZsmU6Rjig69evc/XqVdzd3cmVKxc+Pj5/+b5Tx4msxWAy704gGeLYsWMMHz6cpKQk4uLiePbZZ+nQoYNlt8YHvVDu3r1LdHS0TrYdhDkHLi4u3LhxgypVqtClSxeqVq36wBxcvXqVKVOm0L9/f20K4GB0XBBbR48e5ZVXXiF37tzcunULPz8/Jk2aRLFixf7y5xITE7ly5QpFixbNpEolM5w4cYKwsDBatWrFwIED02wU9KBjRHx8PAsWLKBNmzaULFkyM8uVDHL06FHCwsIIDQ3l3Xfftdz+V+OEODaj0UirVq04e/YsoaGhvP/++8DDZ9xqrHBMx48fZ8SIESQmJnLjxg0aNGhA//79KVGixAN/RmOFYzt9+jSLFy/mhRdeoFKlSo/8c0ajkdjYWC2x5YCOHTvGkCFD8PT05ObNmxQsWJBXXnmF+vXrP/BndJzIWtS0zUCXLl3ihRde4LnnnqNFixbs37+f3bt3c/r0acaNG0edOnXue+KdnJyMi4smQTuKqKgoOnXqROvWrWnfvj0HDx5k3bp1HD9+nGnTplGrVq0HvgFLTEzE3d3dDlVLRtFxQWxFR0fTqVMnQkND6du3L/v372fixIlMnjyZihUrAvdv0jzsTbo8mRITE3nzzTfJly8fo0ePxmQyceDAARITE8mXL99fzoBJSkrC1dU1E6uVjGJu2Hbq1IkRI0ZYbk9NTdUatdmYyWSie/fuFClShLNnz1K8eHEmTJiAi4vLA7OhscIxnTp1iq5du9KmTRvatm3Lr7/+yrp16+jQoQMdOnT4yw93NFY4pnPnztGlSxfi4uJo0aIFXbp0oXz58g/9OY0rjuvChQt07NiRNm3a0K1bNyIjI/n888/55ptvmDJlCi1btnzgsULHiaxDr84MdOzYMQoXLsxrr71G1apV6dOnD0OHDiU4OJjhw4ezZ8+e+75A1JhxLN999x2VK1e2XKYYGhpKnTp1uHXrFn379mXnzp0PPKlSw9bx6Lggtnbu3EmZMmUYMmQIOXPmpH79+hQuXJhDhw6xZs0aDhw4YLkM2prehDsmd3d3rl69Sv369UlOTqZ3796MHTuWYcOG0b59e5YvXw6QLg+ATq4dRExMDN26daNu3bqMGDECo9HIe++9x4ABAwgNDWXBggWcPn3a3mWKHRgMBsqXL0/p0qVp164dv//+O2PGjAHgp59+4saNG+l+RmOF40lISGDGjBk888wzjBgxgsDAQDp16kRAQABr16596Gx8jRWOJzExkblz5xIcHMywYcM4duwY4eHh/PHHH5b7PGiunhq2jmvPnj0EBQXxxhtv4OvrS926dalXrx4Aw4YNY/PmzQ88Vug4kXWoC5CBEhMTOXLkCLGxseTIkQOAChUq0LdvX1JSUvj444/58MMPH3r5qzzZbt68SUxMDAkJCZYclClThubNm+Ps7My0adMICAjQ5SjZhI4LYstoNHLkyBHOnDlDQEAAc+fOZceOHSQmJpKcnMyBAweYNWsWDRs2tHepksFSU1O5efMm165dw2Aw8Nlnn+Hk5MS0adNISkpi27ZtjBs3jrx589KiRQt7lysZ5MaNG9SqVYvff/+dvXv3smDBAhISEqhUqRLe3t5s3ryZw4cPM2zYMAoXLmzvciWTmGfDOTs7ExMTQ58+fTCZTHz++ec0aNCAlJQUvvnmG82aywZu375Nnjx5CAkJAf68GqtOnTqcPXvWztWJPbi7u1O3bl3u3LlDaGgo+fLlY/78+YSHh9O9e3fKly+vZXWyoVu3bnH69GliY2MtS20VLVqU559/nly5cvH+++8TGBiopfeyOI3oGcD8KVapUqUICgrim2++ISEhwfJ986fj8fHxnDhxwl5lSgZLTU0FIH/+/Fy9epX9+/cTExNDVFQU77zzDk8//TQdOnTg0qVL950ZIY7FfFwoXbq0jgsC/HmMCAwMJDAwkK5duzJkyBCmTp3KrFmzWLRoEZ999hlhYWHMmDGD69ev27liyWhOTk54e3tTr149FixYwM6dO2nZsiXFixendOnS9OrVi549exIeHk58fPwDZ83Ik61UqVIMHTqUqlWr0rVrV5KSkpg2bRrDhw9n4sSJdOvWjV9//ZXIyEh7lyqZwPw6N/9//fr1iYqKAqBjx444OTlx48YNypcvj5eXF05OTqSkpNitXsl4BQoUoFWrVjRt2hT4c6Zk7ty5SU5OJjU11ZKXa9eu2a1OyRzmv3WjRo0IDQ0F4LnnnqNPnz6cOHGCJUuWcPjwYeBeg998/BDHZX6PUaRIEby8vPjqq684deoUJ0+eZMiQIQQEBNCzZ0/y5MnDxYsX7VytPIyato9RQkICCQkJxMTEAPdOuitVqsTSpUvZtWsXRqPRct86derg5ubGtm3b7FWuZJC7d+9iNBotf++uXbsSFBTEqFGj6Ny5M23atKF58+a89NJL1KpVi+TkZMuO8eJ4kpOT07x5CggI0HEhmzMfI5KSkgAIDg5m0KBBvPXWW5QrV45WrVrRsGFDXF1d8fLyonDhwhgMBsvMbHFM5hNsgHr16mE0Gvnll18sO0CbjyMFCxbEycmJHDlyaNaMAzGPFeYclCpVir59+zJo0CB69uyJt7e35Xvt2rXDZDLxyy+/2LNkyWDx8fHEx8dbPtg3L3Pg5uZGZGQkqampvP3221y8eJHu3bsTExPD4MGD09xXHI/53KFq1arAvYaduWkbHx/P9evXSUlJwWAwMGPGDIYPH05iYqI+5HNAiYmJJCUlcfv2beDescFkMlnOF1q0aEHv3r05efIkS5Ys4dChQ3zwwQf06dOHO3fuKBMOyJyJO3fuANC4cWOqV6/O8uXL6d69O506daJly5YMHDiQEiVKYDQaOXTokJ2rlofR8giPSWRkJB9++CEXL14kT548tGnThg4dOjB69GguXrzImDFjeOutt2jQoAE5c+YEwNfXlyJFiti5cnmcjh8/ztSpU7lw4QL+/v5UrVqV3r17M3PmTL755huSk5Px8vLimWeewWQyER0dTf78+XVJgoMynyRFRkZSoUIF6tatS4MGDRg9ejQXLlzQcSEbsj1GBAcH89JLLxEcHAzA0qVLuXz5cppNCK9du0aBAgVITk62NPDEMURFRbFv3z7atm1rmR3n7OzMM888w7lz5zh58iSffPIJpUqVIjAwELi33mm+fPlITEzEw8PDzs9AHocHjRVBQUF4e3vj4+MDYMnIrVu3KFSoEOXKlbNz5ZJRjh07xoQJE7h27RpeXl7UrVuXgQMH4ubmRrly5fD396dXr16cOnWKJUuWULRoUby9vfnhhx+4fPkyvr6+9n4K8hidPn2aH3/8kV69euHq6ppmcznrD+88PDzw9PTEzc2NadOmMW/ePFatWqU9MhzQiRMnmDVrFqdPn6ZIkSI0btyYtm3bYjAYcHZ2tqxrbF5KadGiRQwaNIi4uDiWLl2Kp6ennZ+BPG62mXj22Wd54YUXePfdd9m3bx+JiYk4OztTs2ZNTCYTMTEx5M+f33J+KVmXmraPQWRkJJ07dyY0NJRnn32WP/74g02bNtGoUSN8fHyYPXs2gwcPZtq0aXz33XeUK1eO6Oho9u7dy/Dhw+1dvjwmZ8+epWvXrrRq1Yqnn36aK1euMGPGDA4fPsykSZMslzCZJSUlsXbtWm7fvk3x4sXtVLVklMjISLp27UqjRo0ICgri+PHjnDt3jpIlS1KsWDHmzJnD66+/ruNCNnK/Y8S0adM4cuQIY8aMIUeOHBQoUIBr164xf/58SpYsye+//866deuIiIjAy8vL3k9BHqPTp08TFhaGh4cHCQkJdOnSBWdnZ8tuvd27d8fd3Z3PP/+cLl26ULduXe7evcvevXuJiIhQw9ZBPGisKFWqFP7+/umab87OzixbtoyYmBiefvppO1UtGSkqKooePXrQrl07AgICuH79OvPmzeP333/nnXfeoWTJkhgMBo4dO8bChQstH/x36tSJF154gTx58tj5GcjjZD53uHXrFjdv3uS1117D2dk5TePWzMvLi/z58/PBBx+wbNkyVq5cSfny5e1UuWSUyMhIunTpQsuWLWncuDFRUVEsW7aM0qVLU6FCBQDLBrbmxu3nn3/O3bt3WbVqFWXLlrXzM5DH7X6ZWLFiBaVLl+bpp5+mWrVqae6fkJBAREQEFy9eJCgoyE5Vy6MymDQv/l+5dOkSvXr1onHjxrz++usAbN26lYiICN577z3u3r1L0aJFAQgPD+f3338nMjKSwoUL8+qrr+pF4kAWL17Md999x+LFi3FxccFoNPLzzz/zxhtvUKtWLT799FPg3mVMkZGRLFmyhG+++YYlS5bw1FNP2bl6eZyuXr3Kyy+/TPXq1RkxYgQABw8epH///nz44YeWXTsBIiIiOHjwoI4L2cCjHiMmTZrErl27iI+Pp3Dhwrz99tvKhIO5fv06w4cPx8XFhTx58nDmzBlatWpF165dgXub05lnVR89epRdu3bxxx9/4OfnR7t27XR1hoP4O2MFwA8//MBPP/3El19+SXh4uGbaOqj169ezdOlSli9fbvlw5vTp0/Ts2ZPChQsza9Ys8uTJw/nz5y2blpqbM+JYbt68yTvvvENqaiqlS5fmu+++49lnn2XYsGEA6Rq3X3/9NUOGDMHT05Nly5apYeuAYmNjGThwIJUrV7aMG6dOnWLAgAEMGDDAsqatWUpKCuPHj2flypVs2LBB55MO6FEyYT1GnD59mjlz5rBlyxYWLVqkPsQTQDNt/6WrV69Su3ZtOnToYLlt//79HD58mE6dOuHm5kbNmjUZO3Ys3bt3B+DOnTs4OzvrMlcHc/nyZW7fvo2Ly72XlaurK3Xr1mXmzJn069eP9957j7fffhuDwYCnpydPPfUUvXr10ptvBxQZGYmfnx9t2rSxrBf19NNPU758ec6fPw/82ZTp0qULXbp00XEhG3jYMWLcuHGMHj2akSNHEh0djaurK56enuTKlcvOlcvjZjKZyJs3L61ataJUqVLMnTuXTZs2AffWQXdzc7PMuA0KCtKbLAf1KGOF9Rutq1evEhsby/LlyylTpozd6paMdf36dRISEiwNW6PRSMmSJVm1ahXt27dn7NixfPrpp5aGLaCGrYNycXGxbE5ZrVo1vLy82LhxIwDDhg3D2dmZ1NRUy5q2BQsWpFq1aowbN07vLxxUdHQ0Pj4+NG7c2HJbQEAAFStW5MyZM0DaZr55yaX27dvrXMJBPUomUlNTLZnw9vamQYMGDBgwgJIlS9qjZPmbtBHZvxQYGEifPn0ss2kXL17MsmXLGDZsGOPHj2fgwIGsWbOG1atXW37GvNaQOJb69etz7tw5fvjhB+DPy1KCg4MZPXo03377rWXDsaJFixIWFqYTKgdVoEABnnnmGYKCgtK8kTIajZaNCm2PATouOL6HHSN++OEH9u7dC9zb7bVgwYJq2Dogk8mEj4+PZT1rf39/+vXrR5kyZdi0aRNLly4F7jX1rTcqFMfzKGOF9e0dO3bkvffeU8PWwdWuXZvo6GjWrFkDYPkQx8/Pj6lTp7J9+3a+++47O1cpGc1kMpEjRw5GjBhBkyZN8PHx4YUXXqB169b8+OOPTJkyBbi31rV5rKhSpQqzZs3S+wsHli9fPlq3bm253N28QWVqaiq3bt0C0m9E+Mwzz1iWTRDH83czkTdvXlq0aKGG7RNEM23/JTc3N/z8/Cxfu7u7M3PmTGrVqgXc28UzICCAy5cv26tEySQlS5akTp06rF69Gm9vb6pUqWJ5s1W1alWSk5O5ePEiVapUAbB8Ki6Op0yZMpY31dazpHLkyJHmfkuWLMHX15fmzZtneo2S+R7lGHHlyhU7VykZzfw3N28ulZycTNGiRenfvz9z587lyy+/xGAw0LVrV/7zn/9QvHhx+vXrZ8+SJYP8nbGiQIECtGjRwrJppTgmk8lE8eLF6dy5M8uXL8fb25tGjRrh6uoKQOnSpSlYsCCXLl2yc6WS0WyPBykpKeTPn58XX3wRk8nEl19+CdybcTthwgQ8PT0ZNWqU1jR2cIULF6Zw4cLAveOF+f2kp6cn1qtezpgxg/z589OpUye71CmZ5+9kIl++fISFhdmlTvnn1DV6TMyfaISFhVGrVq00LxAfHx/8/f0B0BLCjsvPz4/Q0FBiY2NZtGgRu3fvtnyvSJEiFC5cmJSUFDtWKJnN/Cbc/LrPmTOn5XLHjz/+mI8++kizIbIRHSPkflxcXEhNTaVo0aIMGDCAMmXK8N///peOHTuyYcMGy4fA4rgeZazQ7NrswbyEVsuWLSlSpAjz58/nq6++snzf29sbHx8fy/sOva/IPpydnS1XanTs2JFWrVqxdetWWrRowbp163j++eftXaJkotTU1HTjhnn5rY8//pg5c+ZQqVIle5YomexRMqENTJ9Mmmn7L5nXjDGvJ2T+f/Ono/Pnzyc6OpoaNWoAWnPKUZnXHmzQoAFeXl5MmzaNDz/8kNatWxMUFMSPP/7I2bNnLbNsxbGZjwspKSm4uLhY3pDHx8eTmprK3LlzWbx4sdYlzEZ0jBBr5mNEcnIyLi4ulpNsf39/evfuTa9evUhISGDdunUEBgbau1zJIBorxJZ5rKhUqRKvvfYaM2fOZOLEiRw+fJiyZcty8OBBjh8/zsSJEwG9r3B05mOEORdmPj4+tGvXjs2bNxMTE8O6desoW7asHSuVzGI9bjg5OVnGjYSEBHLmzMn8+fNZtGgRq1at0gZT2YQy4fg00/ZfML9ALly4wJtvvsm1a9cs09EPHz7M+PHjWbFiBdOmTbNMWRfHYZ7lkJycjKurK+fPn+eNN97g6aef5o033qB27dpMnz6dCRMmsGvXLhYvXmyZcS2OxzoPDzouuLm5MXPmTObMmUNERITWl3JwOkaItb86RhgMBgwGA0ajkRUrVnDjxg2WLl2qhq0D0lghD5KSkoKrqytRUVF06dKF/PnzM3jwYPr168eXX37JZ599xm+//UZ4eHiaTcjEMZnfZ0ZHR9OjRw8uXrxoadInJSWxdOlSTp8+zZIlS9SwzSbulwnzuOHi4sKSJUuYPXs2y5cvp3z58nauVjKDMpE9aKbtI4iOjmbv3r1cuXKFVq1a4efnZ9mBLzo6mk6dOtG0aVPy5csH3NshfMeOHURFRelNlwOJjY3l5s2bxMXFUalSpTQHxOjoaMLCwmjUqBFubm5UrlyZypUr06dPH1JTU3FxcdGGQg7mYXmwPS4A5M+fn1y5cvHZZ5/pBNsBXblyhcuXLxMXF0dISIiOEdncw/Jwv2OE0Wjk2LFjhIeH69zBQfyTHGiscGy2V+eZmd9XdOnShXr16pE7d25y585N8eLFad++PXCv2W+75rE82R6Wh7CwMBo0aJBmD5Xk5GRiYmL4/PPPCQoKskfZkoH+SSaKFi2Kn58f8+bN07jhgJSJ7M1g0mJIf+nYsWP069ePIkWKEBkZSZ48efj888/x8fEhPj6e0NBQatWqxX/+8580lyhdu3YNNzc3cufObcfq5XE5evQor7/+Oq6urty6dQtvb2+GDx9OxYoV8fLyomnTptSuXTtNDmwPquI4/kkeAA4cOED+/Pk1m9IBHT16lFdeeQVXV1diYmLw9fVl4MCBhISEWDaSqVOnjo4R2cQ/yYP5cjbzrAl58v2THIDGCkd2/Phx3nvvPSZPnoyvr2+aceDu3bv06dOH0qVLM2bMGI0V2cA/yYN5rFAuHNM/yQTAyZMnyZkzJ76+vvYqXTKIMiFq2v6FS5cu0a1bN9q1a0ePHj3w9PTk2WefZdSoUZbd3g8cOEDFihUtb7Csd/8Vx2Ce9fDCCy/QokUL3N3dGTZsGBcuXKBv375069aNQ4cOUaFCBZ08ZQP/JA86Lji22NhYOnfuTLNmzQgNDcXDw4P33nuPkydP8txzz/HKK69w9OhRAgMD1YzLBv5tHnS8cAz/JAf62zu28+fP89JLLxEVFUWJEiUIDw+nYMGCad6A//HHHzz11FPKQTagPIgtZUJsKRMCWtP2Lx05coTcuXPToUMHcuTIgZOTE+XKlSM6OpqJEyeye/duSpQokeZNl14sjufAgQMUL16cvn37UqJECfz9/enevTuxsbFERETwxRdfUKlSJf3ts4l/kgdlw7Fdu3YNo9FIs2bNKF68OL6+vkybNo369evz1VdfER4eTkBAgBq22cS/zYOOF47hn+RAf3vHlZiYyOrVqwkMDGTRokV4e3vTuXNnrly5gpOTE8nJyQCUL19eOcgGlAexpUyILWVCzNS0/QvXrl0jKiqKuLg4AD777DO2b9/OH3/8wd69exkzZgwbN260bCohjuns2bNERUXh4eFheXOVI0cO2rRpQ5EiRfjkk09ISkrSwTKbUB7EVkpKCikpKdy5cwe4d5IFMGLECGrUqMGyZcs4d+4cgMaLbEB5EFAOJC13d3fKlClDixYtCAkJYfLkyRQoUMDyBtzFxUU5yEaUB7GlTIgtZULM1LT9C23btqVAgQJ069aNPn368PHHHzN37lw+/vhj1q5dS61atVi1ahW3b9+2d6mSgRo2bEhycjKffPIJt27d4vDhwwwZMoRy5cqxcOFCUlJS+PLLL+1dpmQS5UFslStXjnz58jFjxgzg3kmW0WgEYPTo0eTKlYt58+YBaAmVbEB5EFAO5E/mlehatmxJixYtAPD39+eDDz5I8wbcyckJo9HIkSNHuHv3rj1LlgykPIgtZUJsKRNiTWeJVm7fvs3du3ctsyFcXV3ZsGEDY8eOpVmzZgQHB1OtWjXLrIl69epZfk4chzkH5gNfiRIl6NGjB6tXr+b555+nS5cudOjQga5du5KUlISHhwc3b960c9WSUZQH+SspKSkAjBs3jiNHjvDmm28C4ObmZrlsqXr16iQkJNitRsk8yoOAciBpGQwGrLcQMa9dXKxYMSZNmmR5Ax4dHc2kSZMYPXq0pcEvjkd5EFvKhNhSJsSamrb/7/jx4/Tq1YvOnTvTpEkTFi1axNGjR3F1daVJkyakpqYSFxeHh4cHnp6eAOzevZt8+fKRI0cOO1cvj4t1Dpo2bcpnn31GTEwMvXv3ZtWqVYwfP56FCxfy9ttvA/d2bPT19aVQoUJ2rlwygvIgts6cOcPmzZstlyOZl8goW7Ysb7/9Nlu3buW1114jOTnZMnsuNjYWLy8vUlJS0N6fjkV5EFAOJD3bTDxonfvixYvzwQcf4OfnR6NGjVi/fj3vvvsuuXPnzvSaJeMoD2JLmRBbyoQ8iIu9C8gKzp8/T7du3Xj++eepXr06R48eZeXKlezfv5+uXbtSs2ZNQkJC+OCDDxg8eDD16tXj8OHDbN68mSVLlqhp6yDul4NVq1axf/9+unXrRs2aNfH397fc32g0Mm/ePM6cOUPFihXtWLlkBOVBbJ05c4Z27dpx584d4uLi6Nixo+V7bm5uNG7cGE9PT8aOHUvbtm0pUaIErq6ubNmyhVWrVmkjMgejPAgoB5LeX2Xifvz8/ChQoAB58uQhIiKC0qVLZ1KlkhmUB7GlTIgtZUL+ipq2wI4dOwgICGD06NEAPPfcc1SsWJGIiAjmz5+Pq6srVatWZcqUKXz00UecPXuWAgUKsHTpUsqWLWvn6uVxedQcABw8eJBly5axY8cOFixYQOHChe1ZumQA5UGsxcfHM336dBo2bIi/vz9jx44lJSWFzp07W+7j6elJ48aNqVmzJrNmzeLmzZu4u7uzevVqnUw5GOVBQDmQ9B4lE9ZSU1NZtWoVX3/9NWvWrFEmHIzyILaUCbGlTMjDqGnLvQ0grly5wtWrVylQoAAAjRs3xtXVlfnz57NhwwYCAwNp2LAh9erV486dO7i6ulqWSRDH8Fc5WLBgARs2bKBUqVLkyZOHp59+msOHDzNw4EBKlChh38IlQygPYi0+Pp4SJUoQFBREkyZNyJkzJ+PHjwdIc1KVkpJCrly5GDFiBHDvxEqbDDke5UFAOZD0HjUTZk5OThQqVIjNmzfr/MEBKQ9iS5kQW8qEPJRJTFu3bjXVrFnTtHXrVpPJZDIlJydbvrd+/XpTpUqVTAcPHrRXeZJJHpaDp59+2nTo0CF7lSeZTHkQW+fPn0/z9dy5c01BQUGmZcuWWW5LSUkxXblyxfJ1ampqptUnmUt5EJNJOZD0/kkmxHEpD2JLmRBbyoT8Fc20BerXr0+9evV46623WLZsGSVKlCA5ORkXFxfatm3LvHnz2LZtG5UqVbJ3qZKBHiUHW7du1Xql2YTyILaKFCkC/LmDa79+/QCYMGECBoOB9u3bM3XqVFJTU3njjTdwc3NLs3GAOBblQUA5kPT+SSbEcSkPYkuZEFvKhPyVbN+0NV+i9s477zB06FC6d+/OvHnzCAoKAu5tLpQrVy4KFixo50olIykHYk15kL9i3XAxn1RNnDiRjRs3cvDgQTZs2KCTqWxEeRBQDiQ9ZUKsKQ9iS5kQW8qE3I/BZDKZ7F2EPZlnziUnJ3P58mXGjx/Pvn376NWrF/ny5ePMmTOsWbOG1atXU7x4cXuXKxlEORBryoPYMmciKSkJFxeXdDPlQkNDiY6OZsmSJZbmvjgu5UFAOZD0lAmxpjyILWVCbCkT8jDZZheEpKQk4N4MOjPzCyQqKooRI0bg4uLCnDlz6Nq1K9u3b2fRokX89ttvLFmyRI0ZB6EciDXlQWw9LBNvvvkmly9ftnwvJSWF9957j8OHDxMeHq6TKQejPAgoB5KeMiHWlAexpUyILWVC/qls0bQ9fvw4AwYM4PDhwzg5OWEymTCZTLi4uHD+/Hm6dOmCs7OzZYf4IUOGMHv2bNasWcPs2bMpV66cnZ+BPA7KgVhTHsTWo2TCzc0NX19fy8/cunWLXLlysX79egIDA+1YvTxuyoOAciDpKRNiTXkQW8qE2FIm5N/IFssjDB06lG+//ZYKFSowevRoypcvT2pqKkajkTfeeIPcuXPz/vvvYzAYLGtZmheBFsehHIg15UFs/Z1MWEtKSsLV1dVOVUtGUR4ElANJT5kQa8qD2FImxJYyIf9GtmjavvPOO1y5coVcuXJx5swZxowZQ6VKlUhOTubUqVOULVvW3iVKJlAOxJryILaUCbGmPAgoB5KeMiHWlAexpUyILWVC/o1ssTxCjRo1KFeuHF26dCFv3ryMHz+e8+fPs27dOpydne1dnmQS5UCsKQ9iS5kQa8qDgHIg6SkTYk15EFvKhNhSJuTfyBZNW2dnZ/bu3UvVqlXp378/hQoV4oUXXmDcuHEULFjQ3uVJJlEOxJryILaUCbGmPAgoB5KeMiHWlAexpUyILWVC/g2HbtqmpKQAULVqVcv6IDVq1CAuLo7ExESKFy/OxYsXAcgGq0RkW8qBWFMexJYyIdaUBwHlQNJTJsSa8iC2lAmxpUzI4+BQTdv4+HguXbrEpUuXMJlMlqnmefLk4ebNm5w7d45Ro0YRGRnJiBEjCAgIYODAgRw9elSbCzkQ5UCsKQ9iS5kQa8qDgHIg6SkTYk15EFvKhNhSJiQjuNi7gMfl+PHjjB8/nsuXL+Pu7k5wcDBvv/02Li4uuLu74+fnR58+fUhOTmbhwoUEBgZSuHBhvvjiC3LkyGHv8uUxUQ7EmvIgtpQJsaY8CCgHkp4yIdaUB7GlTIgtZUIyisHkAPOwT548SefOnQkNDSUkJIQjR47w/fff0717d1q2bAnAsmXLCA8PZ+rUqZQvX97ys3fu3MHT09NepctjpByINeVBbCkTYk15EFAOJD1lQqwpD2JLmRBbyoRkpCe+aRsXF8fw4cMpXLgwo0ePBiApKYnevXtTpEgRJk6caLnvjRs3yJs3L3BvzRBNQXccyoFYUx7EljIh1pQHAeVA0lMmxJryILaUCbGlTEhGe+LXtI2Pj8fHx4fatWsD9xZ7dnV1pUmTJty6dQu496IByJs3r2WBZ71AHItyINaUB7GlTIg15UFAOZD0lAmxpjyILWVCbCkTktGe+DVt8+TJQ+vWralVqxYATk5/9qHNLxIXl3tPMzU1Nc33xXEoB2JNeRBbyoRYUx4ElANJT5kQa8qD2FImxJYyIRntiUxMQkICRqORW7du4eXlZXmBJCcnWz6xSElJsXyiYTAYmDp1KsOGDbNbzfL4KQdiTXkQW8qEWFMeBJQDSU+ZEGvKg9hSJsSWMiGZ6YmbaXvs2DHGjh1LYmIiN27coEePHjRs2JCiRYvi4uJi+fQib968uLm5AfDxxx+zZMkSli1bZufq5XFRDsSa8iC2lAmxpjwIKAeSnjIh1pQHsaVMiC1lQjLbE9W0PX/+PN27d6d169Y89dRTXLhwgZkzZ3Lo0CE6depE9erVLdPNU1JS8PLy4tNPP2XRokWsWLGCChUq2PkZyOOgHIg15UFsKRNiTXkQUA4kPWVCrCkPYkuZEFvKhNjDE9W0/emnnyhevDhvv/225bZKlSoxdepUli5diru7O5UqVQLg9u3bbNmyhZ9//lkvEAejHIg15UFsKRNiTXkQUA4kPWVCrCkPYkuZEFvKhNjDE7WmrcFgID4+nps3b2IymUhNTaVevXoMHz6cyMhINm7ciNFoBCAgIICKFSuyatUqvUAcjHIg1pQHsaVMiDXlQUA5kPSUCbGmPIgtZUJsKRNiF6YnyLZt20zly5c37dixw2QymUxGo9Hyvf/973+moKAg0y+//GIymUym+Ph4U0xMjF3qlIylHIg15UFsKRNiTXkQk0k5kPSUCbGmPIgtZUJsKRNiD0/UTNt69erRpk0bhg4dysmTJ3F1dbV8ktG8eXPKlCnD/v37AciRIwc+Pj72LFcyiHIg1pQHsaVMiDXlQUA5kPSUCbGmPIgtZUJsKRNiD1l2TduzZ8+ycuVKoqOjKV26NJ07dyZ//vz069ePq1ev0rVrVxYtWkRQUBBwb6Fnd3d3cuXKZefK5XFSDsSa8iC2lAmxpjwIKAeSnjIh1pQHsaVMiC1lQrIKg8lkMtm7CFvHjx+nV69eVK5cGU9PT77//nueffZZPvroI8v3p02bxpYtWxgyZAh58uThzJkzrFmzhtWrV1O8eHE7PwN5HJQDsaY8iC1lQqwpDwLKgaSnTIg15UFsKRNiS5mQLMXe6zPYunTpkqlly5amSZMmWW47cuSIqXLlyqZdu3ZZbktISDDNnTvX1KZNG1PLli1NnTt3Nh0+fNgeJUsGUA7EmvIgtpQJsaY8iMmkHEh6yoRYUx7EljIhtpQJyWqy3PIIO3fuJF++fPTs2ROA5ORkihQpQqFChUhKSrLcz8vLi379+tG+fXu8vLxITk4mZ86cdqpaHjflQKwpD2JLmRBryoOAciDpKRNiTXkQW8qE2FImJKvJck3b4OBgzp07h6+vLwDOzs7kypULDw8PYmJi0t1fizs7JuVArCkPYkuZEGvKg4ByIOkpE2JNeRBbyoTYUiYkq3GydwG2ihYtypAhQwAwmUwYDAbL927fvm35782bN3Po0KFMr08yh3Ig1pQHsaVMiDXlQUA5kPSUCbGmPIgtZUJsKROS1WS5pq01g8FAcnIyAB4eHpad+KZOncrrr7+Ot7e3PcuTTKIciDXlQWwpE2JNeRBQDiQ9ZUKsKQ9iS5kQW8qEZAVZumkLWD7ZSE1Nxc3NjTlz5rBkyRJWr15N0aJF7VydZBblQKwpD2JLmRBryoOAciDpKRNiTXkQW8qE2FImxN4MJpPJZO8iHkXPnj05efIkN27cYPny5VSsWNHeJYkdKAdiTXkQW8qEWFMeBJQDSU+ZEGvKg9hSJsSWMiH2kuU2IrNlMpkwGo3cvHmTq1evsmnTJsqUKWPvsiSTKQdiTXkQW8qEWFMeBJQDSU+ZEGvKg9hSJsSWMiH29sTMtD158iQmk4nSpUvbuxSxI+VArCkPYkuZEGvKg4ByIOkpE2JNeRBbyoTYUibEXp6Ypq2IiIiIiIiIiIhIdpDlNyITERERERERERERyU7UtBURERERERERERHJQtS0FREREREREREREclC1LQVERERERERERERyULUtBURERERERERERHJQtS0FREREREREREREclC1LQVERERERERERERyULUtBURERHJJho2bMjIkSPtXcY/1q1bN7p162aX333x4kUqVqzIvn377PL7s6J169YRGBjIb7/99tgec/r06QQGBj62x3vc9uzZQ2BgIHv27MmU35eUlESDBg2IiIjIlN8nIiIiWYeLvQsQERERyQzr1q1j1KhRlq/d3NzIkycPgYGBNGjQgNDQUHLmzPmPHnv//v3s2LGDHj16kDt37sdVMtOnT2fGjBmWrz08PChSpAhNmjShb9++/7jefyIiIgJPT09CQ0Mf6f6BgYF06dKF0aNHZ3BlmWPmzJk8/fTTVKtWzXLbyJEjWb9+veVrLy8vfHx8KF++PM8//zxNmjTByemfzZHYtGkTMTEx9OzZ89+WnsbIkSP5+uuv+fXXXx/r42ZFDRs2JDo62vK1m5sbhQoVolGjRvTv35+8efPar7hH5OrqyksvvcScOXNo37497u7u9i5JREREMomatiIiIpKtDB48GH9/f5KTk7l27Ro///wz77//PosXL2bWrFkEBQX97cf89ddfmTFjBu3atXusTVuzsWPH4uXlxe3bt9mxYwdz5sxhz549rFixAoPB8MiP89VXX/2t+1tbsWIF3t7ej9y0dSSxsbFs2LCBSZMmpfuem5sbEyZMACAxMZHo6Gh+/PFHBg8eTI0aNZg9e/Y/aq5/+eWXREZGPvambXZTrlw5XnrpJQCMRiO///474eHh/PLLL6xZs8bO1T2a0NBQpkyZwqZNm2jfvr29yxEREZFMoqatiIiIZCv169enYsWKlq/79+/Prl27GDBgAK+88gqbN2/Gw8PDjhWm16xZM3x8fAAICwvj1Vdf5ZtvvuHAgQNUqVLlkR/Hzc0to0p0aF988QXOzs48++yz6b7n4uJCmzZt0tz22muvMW/ePD766CPeeecdPvnkk0yqVGz5+vqm+ft06NABLy8vPvvsM86cOUOJEiXsV9wjyp07N3Xr1mX9+vVq2oqIiGQjWtNWREREsr2QkBBeeeUVoqOj+eKLLyy3Hz16lJEjR9KoUSMqVqxInTp1GDVqFNevX7fcZ/r06UyePBmARo0aERgYSGBgIOfPnwdg7dq1dO/enZCQECpUqECLFi1Yvnz5v6q3Vq1aAJbfcfv2bSZNmkSDBg2oUKECzZo1Y+HChZhMpjQ/Z7umrXlN0n379jFx4kRq1apF5cqVGThwILGxsWl+LjIykp9//tny/P7u2rLmtUA3b97M7NmzLc3zHj16cPbs2XT3X7VqFY0bN6ZSpUq0b9+evXv33vdxjUYj06ZNo0mTJlSoUIEGDRowefJkjEaj5T4jRoygYsWKnDx5Ms3P9u7dm+rVq3P58uW/rP27776jUqVK5MiR45Gfb79+/ahbty5fffUVp0+fTvNY5u9VqFCBxo0bM3PmTFJSUiz36datG1u2bCE6Otry792wYcO/9Zz/jejoaMaOHUuzZs2oVKkSNWvWZPDgwZa82bp79y6jR4+mZs2aVK1alTfffJObN2+mu9/WrVvp3LkzlStXpkqVKvTr14/IyMiH1rNjxw7CwsIIDg6mSpUqNGvWjI8//vgfP78CBQoA4OzsnOb2kydPWmZIV6xYkdDQUL7//vtHesz//e9/hIaGWv69hg0bliZX33//PYGBgRw9etRy29dff01gYCCDBg1K81jPPfccQ4cOTXNb7dq12bdvHzdu3Pgbz1RERESeZJppKyIiIgK0adOGjz/+mO3bt/Piiy8CsHPnTqKioggNDaVAgQJERkby+eefc+LECT7//HMMBgNNmjThzJkzfPnll4waNQpvb28Ay8zYFStWUKZMGRo2bIiLiws//vgj//nPfzCZTHTp0uUf1Xru3DkA8ubNi8lk4uWXX2bPnj20b9+ecuXK8dNPPzF58mQuX77MW2+99dDHmzBhArlz52bQoEFER0ezZMkSxo0bZ5kh+tZbbzF+/Hi8vLwYMGAAAPnz5/9Htc+fPx+DwUCvXr2Ij49nwYIFDBs2jNWrV1vus3r1akaPHk2VKlXo0aMHUVFRvPzyy+TJk4dChQpZ7peamsrLL7/Mvn37ePHFFylVqhTHjx9nyZIlnDlzhlmzZgHw9ttvs3v3bkaMGMGqVatwdnZm5cqVbN++ncmTJ+Pr6/vAepOSkvjtt98ICwv728+1devWbN++nZ07d1KyZEkA1q9fj5eXFy+99BJeXl7s3r2badOmER8fz4gRIwAYMGAAcXFxXLp0ybIOs7lh/KjP+d/47bff+PXXX3n++efx8/MjOjqaFStW0L17d/773//i6emZ5v7jxo2z5Of06dOsWLGCCxcusHTpUstyHBs2bGDkyJHUrVuXYcOGcefOHVasWEHnzp1Zv349/v7+960lMjKS/v37ExgYyODBg3Fzc+Ps2bPs37//kZ5LcnKy5QMIo9HI4cOHWbRoEdWrV6do0aJpfk9YWBi+vr707dsXLy8v/ve//zFw4ECmT59OkyZNHvg7zOtlV6xYkddff52YmBjCw8PZv38/GzZsIHfu3FSrVg2DwcDevXstS7Ds3bsXJyenNJvbxcbGcurUKbp27Zrmd5QvXx6TycSvv/563xnfIiIi4njUtBUREREB/Pz8yJUrF1FRUZbbOnfuTK9evdLcr3Llyrz++uvs27eP4OBggoKCeOqpp/jyyy9p3LhxuubTsmXL0iy30LVrV3r37s2iRYseuWlrnrVoXtN2+fLl5M+fn+DgYL7//nt2797N0KFDefnllwHo0qULgwcPJjw8nK5du1KsWLG/fPy8efPy2WefWRpsqampLF26lLi4OHLlykXjxo355JNP8Pb2TrcUwN+VmJjIhg0bLEs15M6dm/fee4/jx49TtmxZkpKSmDp1KuXKlSM8PNxyv9KlS/Puu++madpu2rSJnTt3snTpUoKDgy23lylThjFjxrB//36qVq1q+R29e/dm3rx5tGzZkg8++IDGjRs/9PlcvHiRu3fvPrCp+FfKli0L/NlkB/joo4/S5CEsLIzRo0ezYsUKXnvtNdzc3KhTpw7h4eHcunUrXX2P+pz/jWeeeYbmzZunue3ZZ5+lY8eOfP3117Rt2zbN91xdXVm8eDGurq4AFC5cmA8//JAffviBRo0akZCQwHvvvUeHDh0YP3685efatWtH8+bNmTt3bprbre3YsYOkpCTmz59v+SDk79i+fTshISFpbqtatSrTp09Pc9t7771HoUKFWLt2rSVznTt3JiwsjClTpjywaZuUlMSUKVMoW7YsERERlo3CqlWrRv/+/Vm8eDGDBw8mb968lC5dmr1791oasvv27aNp06Z89dVXnDx5klKlSlkauNYb3gGWBvOJEyfUtBUREckmtDyCiIiIyP/z8vIiISHB8rV1cy0xMZHY2FiefvppAP74449Hekzrx4iLiyM2NpYaNWoQFRVFXFzcIz1G8+bNCQkJoVGjRowePZrixYszd+5cPD092bZtG87OzumWK+jVqxcmk4lt27Y99PFffPHFNBuUBQcHk5KSQnR09CPV93eEhoamWVvX3Hg0N8t///13YmJi6NSpU5r7tWvXjly5cqV5rK+++opSpUoREBBAbGys5X/m5SP27NljuW/dunXp2LEjM2fO5NVXX8Xd3Z1x48Y9tF7z5ej/ZIM5Ly8vgAdmKj4+ntjYWIKDg7lz5w6nTp166GP+nef8T1nXmJSUxPXr1ylWrBi5c+fm8OHD6e7fsWNHS8MW7jWiXVxc2Lp1K3BvxvqtW7d4/vnn09Ts5OTE008//Zc1m//dv//+e1JTU//2c3n66adZtGgRixYtYu7cubz22mucOHGCl19+mbt37wL3/sa7d+/mueees/xNYmNjuX79OnXr1uXMmTMPXELDnNewsDBLwxbuNb4DAgLYsmWL5bZq1apZlvmIj4/n6NGjdOzYEW9vb0uzdu/eveTOndvS8DfLkycPQJqlWURERMSxaaatiIiIyP+7ffs2+fLls3x948YNZsyYwebNm4mJiUlz30dtuO7bt4/p06dz4MAB7ty5k+4xbBuR9zN9+nRy5syJi4sLfn5+aWbORkdHU7BgQXLmzJnmZ0qVKmX5/sMULlw4zdfmRtmtW7ce+rN/18N+14ULFwAoXrx4mvu5urqmuZwd4OzZs5w8eTLdTEoz27/ZiBEj+OGHHzhy5AgfffRRmr/1w9iuD/wobt++DZBmLdzIyEg++eQTdu/eTXx8fJr7P0qm/u5z/ifu3r3L3LlzWbduHZcvX07z3O9Xo+3fKkeOHBQoUMCSvTNnzgDQo0eP+/4+2+xaa9GiBatXr+add97ho48+IiQkhCZNmtC8eXOcnB4+/8Tb25vatWtbvn7mmWcoWbIkgwcPZvXq1XTr1o1z585hMpn49NNP+fTTT+/7ODExMfddRsOcV/PyF9YCAgLSLH0QHBzMypUrOXv2LOfOncNgMFC5cmWCg4PZu3cvL774Inv37qVq1arpnpv5b2D94YqIiIg4NjVtRURERIBLly4RFxeXpiE6dOhQfv31V3r37k25cuXw8vIiNTWVPn36PFIT79y5c/Ts2ZOAgABGjhxJoUKFcHV1ZevWrSxevPiRZw4GBwf/o0vDH9WDml//pFGZmb8rNTWVsmXLWtZ9teXn55fm6yNHjliamsePH3+k35E3b17gnzWwzb/DnKlbt27RtWtXcubMyeDBgylWrBju7u788ccfTJky5ZHy8Hef8z8xfvx41q1bR48ePahcuTK5cuXCYDDw2muv/aO/k/lnJk+ebNkEzJrthmDWPDw8iIiIYM+ePWzZsoWffvqJzZs3s2rVKj777LO//NkHMTe8f/nlF7p162b5d+/Vqxf16tW77888bImRR2Fe8uCXX34hKiqKp556Ci8vL4KDgwkPDychIYEjR46k24QM/lwixbxmtoiIiDg+NW1FREREgI0bNwL3LqOHe02SXbt28eqrr6bZ3d08a9Dag2a//fDDDxiNRmbPnp1mhunjuITdrEiRIuzatYv4+Pg0MxbNl9oXKVLksfyezJrhZ/53Onv2bJrZpElJSZw/f96yiRPca6QdPXqUkJCQh9Z3+/ZtRo0aRenSpalSpQoLFiygcePGVKpU6S9/rlChQnh4eHD+/Pm//Vy++OILDAYDderUAeDnn3+2zN6uXr265X73e+wHPZ+/85z/KfO6tSNHjrTclpiY+MCZwGfPnrUszwD3loO4evUq9evXB/5cjzVfvnxpZr0+KicnJ0JCQggJCWHUqFHMmTOHqVOnsmfPnn/0eMnJycCfM6HN9bm6uv7txzPn9fTp0+lmP58+fTrN675w4cIULlyYffv2ERUVZVkaJDg4mIkTJ/LVV1+RkpKSJhtm5oyYZ9CLiIiI49OatiIiIpLt7dq1i1mzZuHv70/r1q2BB8/+W7JkSbrbPD09gfSXjpsfw/by8rVr1z6WugHq169PSkoKERERaW5fvHgxBoPB0jj7tzw9PTNkuQRbFSpUwMfHh5UrV2I0Gi23r1+/Pt3vf+6557h8+TKff/55use5e/eupSkHMGXKFC5evMikSZMYOXIkRYoUYeTIkWl+x/24urpSoUIFfv/997/1PObNm8f27dtp0aIFJUqUAP6cZWydB6PRyPLly9P9vKen532bpH/nOf9T98v+0qVLSUlJue/9V61aRVJSkuXrFStWkJycbMlevXr1yJkzJ3Pnzk1zP7PY2NgH1mJeU9hauXLlAB76t3uQH3/8EcDyAUC+fPmoUaMGq1at4sqVK3+rvgoVKpAvX750ed26dSsnT57kmWeeSXP/atWqsXv3bg4dOmSZeVuuXDly5MjBvHnz8PDwoHz58ul+zx9//GFZTkFERESyB820FRERkWxl27ZtnDp1ipSUFK5du8aePXvYsWMHhQsXZvbs2ZbNhHLmzEn16tVZsGABSUlJ+Pr6smPHjvvOijQ3WaZOnUqLFi1wdXXl2WefpU6dOri6ujJgwAA6depEQkICq1evJl++fFy9evWxPJ+GDRtSs2ZNpk6dSnR0NIGBgezYsYPvv/+eHj16PJbLuuHec1yxYgWzZs2iePHi+Pj4PHBd1X/D1dWVoUOHMnr0aHr06EGLFi04f/4869atS7embZs2bfjf//7HmDFj2LNnD1WrViUlJYVTp07x1VdfsWDBAipWrMiuXbtYvnw5gwYNsvytJk6cSLdu3fjkk0948803/7KmRo0aMXXq1HSzmeHerE3zLG2j0Uh0dDQ//PADx44do2bNmmk2O6tSpQp58uRh5MiRdOvWDYPBwMaNG++75ED58uXZvHkzEydOpGLFinh5edGwYcNHfs5/JSkpiVmzZqW7PU+ePHTp0oVnnnmGjRs3kjNnTkqXLs2BAwfYuXOnZamI+z1ez549ee655zh9+jTLly+nWrVqNGrUCLj3Who7dixvvvkmoaGhtGjRAh8fHy5cuMDWrVupWrUqo0ePvu9jz5w5k71799KgQQOKFClCTEwMy5cvx8/Pz9L0/CuXL1+2/H2SkpI4evQoq1atwtvbO83mfWPGjKFz5860atWKF198kaJFi3Lt2jUOHDjApUuX+OKLL+77+K6urgwbNoxRo0bRtWtXnn/+eWJiYggPD6dIkSL07Nkzzf2Dg4PZtGkTBoPBUr+zszNVqlRh+/bt1KhRI80GfGY7d+6katWqWh5BREQkG1HTVkRERLKVadOmAfeaLXnz5qVs2bK89dZbhIaGpmvIffTRR4wfP57ly5djMpmoU6cO8+fPT7fuZaVKlRgyZAgrV67kp59+IjU1le+//56AgACmTZvGJ598wgcffED+/PkJCwvDx8eHt95667E8HycnJ2bPns20adPYvHkz69ato0iRIrz55pv06tXrsfwOgIEDB3LhwgUWLFhAQkICNWrUyJCmLUDHjh1JSUlh4cKFTJ48mbJlyzJ79ux0m0Q5OTkxc+ZMFi9ezMaNG/n222/x9PTE39+fbt26UbJkSeLj43n77bd56qmnGDBggOVng4OD6d69O4sWLaJp06Z/OYOxTZs2fPTRR3z//fe0adMmzfeMRqOl6evp6YmPjw8VKlRg4MCBNGnSJM0avt7e3syZM4cPPviATz75hNy5c9O6dWtCQkLo3bt3msft3LkzR44cYd26dSxevJgiRYrQsGHDR3rOD5OUlHTfDbeKFStGly5dePvtt3FycmLTpk0kJiZStWpVFi1aRJ8+fe77eKNHj2bTpk1MmzaNpKQknn/+ed555500yze0atWKggULMm/ePBYuXIjRaMTX15fg4GBCQ0MfWGvDhg2Jjo5m7dq1XL9+HW9vb2rUqMGrr776SJv4HTlyxPL3cXJywtvbm6ZNmzJkyJA0G4uVLl2atWvXMmPGDNavX8+NGzfw8fHhqaeeYuDAgX/5O0JDQ/Hw8GD+/PlMmTIFLy8vGjduzPDhwy0b7ZmZl0QICAhI04ANDg5m+/btlu9bi4uLY/v27YwZM+ahz1dEREQch8GUETtMiIiIiIg4kLfeeoszZ87cdykDkYy0ePFiFixYwHfffYeHh4e9yxEREZFMojVtRUREREQeYtCgQfz222/s27fP3qVINpKUlMTixYt5+eWX1bAVERHJZjTTVkRERERERERERCQL0UxbERERERERERERkSxETVsRERERERERERGRLERNWxEREREREREREZEsRE1bERERERERERERkSxETVsRERERERERERGRLERNWxEREREREREREZEsRE1bERERERERERERkSxETVsRERERERERERGRLERNWxEREREREREREZEsRE1bERERERERERERkSxETVsRERERERERERGRLOT/AB785T7o3PafAAAAAElFTkSuQmCC"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"图表绘制完成。\n"
|
||
]
|
||
}
|
||
],
|
||
"execution_count": 71
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"id": "9dd93e564f0e2b55",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-06-22T15:02:24.976449Z",
|
||
"start_time": "2025-06-22T15:02:24.952410Z"
|
||
}
|
||
},
|
||
"source": [
|
||
"from matplotlib.font_manager import findfont, FontProperties\n",
|
||
"\n",
|
||
"font = findfont(FontProperties(family=['SimHei']))\n",
|
||
"font"
|
||
],
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"'/home/liaozhaorun/.fonts/simhei.ttf'"
|
||
]
|
||
},
|
||
"execution_count": 72,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 72
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"id": "a14196c49af33461",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-06-22T15:02:25.008356Z",
|
||
"start_time": "2025-06-22T15:02:24.990893Z"
|
||
}
|
||
},
|
||
"source": [
|
||
"import matplotlib as mpl\n",
|
||
"print(mpl.rcParams['font.family'])"
|
||
],
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"['sans-serif']\n"
|
||
]
|
||
}
|
||
],
|
||
"execution_count": 73
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "quant",
|
||
"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": "3.12.11"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|