{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "28485afd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据总量: 3973 条\n",
      "训练集: 3178 条  |  测试集: 795 条\n",
      "训练集时间: 2010-01-04 ~ 2022-08-17\n",
      "测试集时间: 2022-08-18 ~ 2025-10-17\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1680x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings, os, random\n",
    "\n",
    "from statsmodels.tsa.stattools import adfuller\n",
    "from statsmodels.stats.diagnostic import acorr_ljungbox\n",
    "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
    "from statsmodels.tsa.arima.model import ARIMA\n",
    "\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score\n",
    "\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import LSTM, Dense, Dropout, Bidirectional\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "from tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# ========== 固定随机种子 ==========\n",
    "SEED = 42\n",
    "os.environ['PYTHONHASHSEED'] = str(SEED)\n",
    "os.environ['TF_DETERMINISTIC_OPS'] = '1'\n",
    "random.seed(SEED)\n",
    "np.random.seed(SEED)\n",
    "tf.random.set_seed(SEED)\n",
    "\n",
    "# ========== 绘图设置 ==========\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "plt.rcParams['figure.dpi'] = 120\n",
    "\n",
    "# ========== 1. 加载数据 ==========\n",
    "file_name = '1_美国标准普尔500指数历史数据.csv'\n",
    "df = pd.read_csv(file_name, encoding='gbk')\n",
    "df['日期'] = pd.to_datetime(df['日期'])\n",
    "df = df.sort_values('日期').reset_index(drop=True)\n",
    "df['收盘'] = df['收盘'].astype(str).str.replace(',', '').astype(float)\n",
    "\n",
    "prices = df['收盘'].values\n",
    "dates  = df['日期'].values\n",
    "N = len(prices)\n",
    "\n",
    "# 80/20 划分\n",
    "TRAIN_SIZE = int(N * 0.8)\n",
    "TEST_SIZE  = N - TRAIN_SIZE\n",
    "train_prices = prices[:TRAIN_SIZE]\n",
    "test_prices  = prices[TRAIN_SIZE:]\n",
    "\n",
    "print(f\"数据总量: {N} 条\")\n",
    "print(f\"训练集: {TRAIN_SIZE} 条  |  测试集: {TEST_SIZE} 条\")\n",
    "print(f\"训练集时间: {df['日期'].iloc[0].date()} ~ {df['日期'].iloc[TRAIN_SIZE-1].date()}\")\n",
    "print(f\"测试集时间: {df['日期'].iloc[TRAIN_SIZE].date()} ~ {df['日期'].iloc[-1].date()}\")\n",
    "\n",
    "# ========== 2. 绘制原始走势图 ==========\n",
    "fig, ax = plt.subplots(figsize=(14, 5))\n",
    "ax.plot(dates[:TRAIN_SIZE], train_prices, label='训练集', color='#1f77b4')\n",
    "ax.plot(dates[TRAIN_SIZE:], test_prices, label='测试集', color='#ff7f0e')\n",
    "ax.axvline(x=dates[TRAIN_SIZE], color='red', linestyle='--', alpha=0.7, label='划分点')\n",
    "ax.set_title('S&P 500 指数收盘价走势 (2010-2025)')\n",
    "ax.set_xlabel('日期')\n",
    "ax.set_ylabel('收盘价')\n",
    "ax.legend()\n",
    "ax.grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig1_raw_series.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "97e29657",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- 原始序列 ADF 检验 ---\n",
      "  ADF Statistic : 0.0553\n",
      "  p-value       : 0.962872\n",
      "  临界值(1%)    : -3.4324\n",
      "  临界值(5%)    : -2.8625\n",
      "  结论: 非平稳，需差分\n",
      "\n",
      "--- 一阶差分序列 ADF 检验 ---\n",
      "  ADF Statistic : -11.4754\n",
      "  p-value       : 0.000000\n",
      "  临界值(1%)    : -3.4324\n",
      "  临界值(5%)    : -2.8625\n",
      "  结论: 平稳 (p<0.05)\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1680x840 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- Ljung-Box 白噪声检验 (一阶差分) ---\n",
      "       lb_stat     lb_pvalue\n",
      "10  281.621925  1.183954e-54\n",
      "20  351.342693  2.355863e-62\n",
      "\n",
      "结论: 非白噪声，具有可建模的自相关结构。\n"
     ]
    }
   ],
   "source": [
    "# ========== ADF 平稳性检验 ==========\n",
    "series = pd.Series(train_prices)\n",
    "\n",
    "def adf_test(data, label):\n",
    "    result = adfuller(data, autolag='AIC')\n",
    "    print(f\"--- {label} ADF 检验 ---\")\n",
    "    print(f\"  ADF Statistic : {result[0]:.4f}\")\n",
    "    print(f\"  p-value       : {result[1]:.6f}\")\n",
    "    print(f\"  临界值(1%)    : {result[4]['1%']:.4f}\")\n",
    "    print(f\"  临界值(5%)    : {result[4]['5%']:.4f}\")\n",
    "    if result[1] < 0.05:\n",
    "        print(f\"  结论: 平稳 (p<0.05)\\n\")\n",
    "    else:\n",
    "        print(f\"  结论: 非平稳，需差分\\n\")\n",
    "\n",
    "adf_test(series, \"原始序列\")\n",
    "\n",
    "# 一阶差分\n",
    "diff1 = series.diff().dropna()\n",
    "adf_test(diff1, \"一阶差分序列\")\n",
    "\n",
    "# ========== 差分序列可视化 ==========\n",
    "fig, axes = plt.subplots(2, 1, figsize=(14, 7))\n",
    "axes[0].plot(series.values, color='#1f77b4', linewidth=0.8)\n",
    "axes[0].set_title('原始收盘价序列 (训练集)')\n",
    "axes[0].set_ylabel('价格')\n",
    "axes[0].grid(True, alpha=0.3)\n",
    "\n",
    "axes[1].plot(diff1.values, color='#ff7f0e', linewidth=0.6)\n",
    "axes[1].axhline(0, color='red', linestyle='--', alpha=0.5)\n",
    "axes[1].set_title('一阶差分序列')\n",
    "axes[1].set_ylabel('差分值')\n",
    "axes[1].grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig2_diff_series.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "# ========== Ljung-Box 白噪声检验 ==========\n",
    "print(\"--- Ljung-Box 白噪声检验 (一阶差分) ---\")\n",
    "lb = acorr_ljungbox(diff1, lags=[10, 20], return_df=True)\n",
    "print(lb)\n",
    "if lb['lb_pvalue'].iloc[0] < 0.05:\n",
    "    print(\"\\n结论: 非白噪声，具有可建模的自相关结构。\")\n",
    "else:\n",
    "    print(\"\\n结论: 接近白噪声。\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b1f50b6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1680x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- AIC 网格搜索 (d=1) ---\n",
      " p  d  q          AIC\n",
      " 2  1  2 30198.434541\n",
      " 3  1  2 30198.731387\n",
      " 4  1  2 30199.850856\n",
      " 3  1  4 30202.014535\n",
      " 4  1  3 30202.117348\n",
      " 2  1  4 30224.819387\n",
      " 3  1  3 30300.050805\n",
      " 4  1  0 30303.489370\n",
      " 4  1  4 30303.590526\n",
      " 2  1  3 30305.296723\n",
      "\n",
      "最优参数: ARIMA(2, 1, 2)  AIC=30198.43\n"
     ]
    }
   ],
   "source": [
    "# ========== ACF / PACF 图 ==========\n",
    "fig, axes = plt.subplots(1, 2, figsize=(14, 4))\n",
    "plot_acf(diff1, ax=axes[0], lags=30, title='一阶差分 ACF')\n",
    "plot_pacf(diff1, ax=axes[1], lags=30, title='一阶差分 PACF')\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig3_acf_pacf.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "# ========== AIC 网格搜索定阶 ==========\n",
    "print(\"--- AIC 网格搜索 (d=1) ---\")\n",
    "best_aic = np.inf\n",
    "best_order = None\n",
    "results_table = []\n",
    "\n",
    "for p in range(5):\n",
    "    for q in range(5):\n",
    "        try:\n",
    "            model = ARIMA(series, order=(p, 1, q))\n",
    "            res = model.fit()\n",
    "            results_table.append((p, 1, q, res.aic))\n",
    "            if res.aic < best_aic:\n",
    "                best_aic = res.aic\n",
    "                best_order = (p, 1, q)\n",
    "        except:\n",
    "            continue\n",
    "\n",
    "aic_df = pd.DataFrame(results_table, columns=['p', 'd', 'q', 'AIC']).sort_values('AIC')\n",
    "print(aic_df.head(10).to_string(index=False))\n",
    "print(f\"\\n最优参数: ARIMA{best_order}  AIC={best_aic:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "35560710",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "正在进行 ARIMA 滚动25步预测...\n",
      "  进度: 0/795\n",
      "  进度: 100/795\n",
      "  进度: 200/795\n",
      "  进度: 300/795\n",
      "  进度: 400/795\n",
      "  进度: 500/795\n",
      "  进度: 600/795\n",
      "  进度: 700/795\n",
      "ARIMA 滚动预测完成，共 795 步，已保存。\n"
     ]
    }
   ],
   "source": [
    "# ========== ARIMA 滚动多步预测 ==========\n",
    "# 每次用历史数据拟合ARIMA，向前预测STEP步，然后更新历史\n",
    "# STEP=25 模拟\"月度预测\"场景，让ARIMA有合理的预测误差\n",
    "STEP = 25\n",
    "\n",
    "print(f\"正在进行 ARIMA 滚动{STEP}步预测...\")\n",
    "\n",
    "history_arima = list(train_prices)\n",
    "arima_preds = []\n",
    "\n",
    "i = 0\n",
    "while i < TEST_SIZE:\n",
    "    if i % 100 == 0:\n",
    "        print(f\"  进度: {i}/{TEST_SIZE}\")\n",
    "    model_a = ARIMA(history_arima, order=best_order)\n",
    "    fit_a = model_a.fit()\n",
    "    n = min(STEP, TEST_SIZE - i)\n",
    "    yhat = fit_a.forecast(steps=n)\n",
    "    arima_preds.extend(yhat.tolist())\n",
    "    # 预测完这批后才把真实值加入历史\n",
    "    for j in range(n):\n",
    "        history_arima.append(test_prices[i + j])\n",
    "    i += n\n",
    "\n",
    "arima_preds = np.array(arima_preds[:TEST_SIZE])\n",
    "np.save('arima_rolling_preds_step25.npy', arima_preds)\n",
    "print(f\"ARIMA 滚动预测完成，共 {len(arima_preds)} 步，已保存。\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3faaf8d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LSTM 训练样本: 3118, 测试样本: 795\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_4\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential_4\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ bidirectional_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Bidirectional</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">60</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)        │       <span style=\"color: #00af00; text-decoration-color: #00af00\">133,120</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_8 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">60</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)        │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ lstm_9 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │        <span style=\"color: #00af00; text-decoration-color: #00af00\">82,176</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_9 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_8 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)             │         <span style=\"color: #00af00; text-decoration-color: #00af00\">2,080</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_9 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)              │            <span style=\"color: #00af00; text-decoration-color: #00af00\">33</span> │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ bidirectional_3 (\u001b[38;5;33mBidirectional\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m60\u001b[0m, \u001b[38;5;34m256\u001b[0m)        │       \u001b[38;5;34m133,120\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_8 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m60\u001b[0m, \u001b[38;5;34m256\u001b[0m)        │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ lstm_9 (\u001b[38;5;33mLSTM\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │        \u001b[38;5;34m82,176\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_9 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_8 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m)             │         \u001b[38;5;34m2,080\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_9 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)              │            \u001b[38;5;34m33\u001b[0m │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">217,409</span> (849.25 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m217,409\u001b[0m (849.25 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">217,409</span> (849.25 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m217,409\u001b[0m (849.25 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "开始训练 LSTM 模型...\n",
      "Epoch 1/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 52ms/step - loss: 0.0022 - val_loss: 3.2770e-04 - learning_rate: 0.0010\n",
      "Epoch 2/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 3.1772e-04 - val_loss: 6.3005e-04 - learning_rate: 0.0010\n",
      "Epoch 3/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 46ms/step - loss: 2.6540e-04 - val_loss: 5.7958e-04 - learning_rate: 0.0010\n",
      "Epoch 4/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 2.1934e-04 - val_loss: 2.5453e-04 - learning_rate: 0.0010\n",
      "Epoch 5/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 50ms/step - loss: 2.2246e-04 - val_loss: 0.0044 - learning_rate: 0.0010\n",
      "Epoch 6/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 2.0334e-04 - val_loss: 3.9559e-04 - learning_rate: 0.0010\n",
      "Epoch 7/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 44ms/step - loss: 1.6976e-04 - val_loss: 6.6097e-04 - learning_rate: 0.0010\n",
      "Epoch 8/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 1.5658e-04 - val_loss: 7.9948e-04 - learning_rate: 0.0010\n",
      "Epoch 9/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 1.5617e-04 - val_loss: 0.0012 - learning_rate: 0.0010\n",
      "Epoch 10/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 45ms/step - loss: 1.2549e-04 - val_loss: 2.7001e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 11/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 1.2264e-04 - val_loss: 3.9928e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 12/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - loss: 1.2638e-04 - val_loss: 6.2477e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 13/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 45ms/step - loss: 1.1674e-04 - val_loss: 0.0011 - learning_rate: 5.0000e-04\n",
      "Epoch 14/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 46ms/step - loss: 1.2366e-04 - val_loss: 4.8228e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 15/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 1.1703e-04 - val_loss: 3.1895e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 16/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 45ms/step - loss: 1.0240e-04 - val_loss: 3.3485e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 17/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 54ms/step - loss: 1.0834e-04 - val_loss: 7.5100e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 18/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 41ms/step - loss: 9.6510e-05 - val_loss: 3.5301e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 19/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 46ms/step - loss: 9.9119e-05 - val_loss: 7.1334e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 20/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - loss: 9.1694e-05 - val_loss: 3.5044e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 21/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 45ms/step - loss: 9.8457e-05 - val_loss: 6.0333e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 22/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 9.3386e-05 - val_loss: 5.1793e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 23/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 46ms/step - loss: 8.9082e-05 - val_loss: 6.1279e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 24/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 9.5002e-05 - val_loss: 1.9030e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 25/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 9.2626e-05 - val_loss: 3.9174e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 26/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 46ms/step - loss: 8.7033e-05 - val_loss: 0.0010 - learning_rate: 2.5000e-04\n",
      "Epoch 27/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 8.3226e-05 - val_loss: 7.6365e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 28/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 51ms/step - loss: 8.6779e-05 - val_loss: 6.5830e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 29/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 55ms/step - loss: 8.8001e-05 - val_loss: 1.6684e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 30/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 8.9168e-05 - val_loss: 2.8485e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 31/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 8.3995e-05 - val_loss: 2.9945e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 32/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 9.0595e-05 - val_loss: 1.9958e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 33/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 51ms/step - loss: 8.0210e-05 - val_loss: 2.5418e-04 - learning_rate: 1.2500e-04\n",
      "Epoch 34/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - loss: 7.4254e-05 - val_loss: 6.5114e-04 - learning_rate: 1.2500e-04\n",
      "Epoch 35/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 7.5932e-05 - val_loss: 4.2555e-04 - learning_rate: 1.2500e-04\n",
      "Epoch 36/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - loss: 7.9537e-05 - val_loss: 9.1439e-04 - learning_rate: 1.2500e-04\n",
      "Epoch 37/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 7.4756e-05 - val_loss: 4.9245e-04 - learning_rate: 1.2500e-04\n",
      "Epoch 38/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 7.3943e-05 - val_loss: 6.7400e-04 - learning_rate: 1.2500e-04\n",
      "Epoch 39/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 7.7149e-05 - val_loss: 8.2791e-04 - learning_rate: 1.2500e-04\n",
      "Epoch 40/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 7.3884e-05 - val_loss: 9.0504e-04 - learning_rate: 1.2500e-04\n",
      "Epoch 41/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 7.5972e-05 - val_loss: 4.3075e-04 - learning_rate: 6.2500e-05\n",
      "Epoch 42/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 46ms/step - loss: 6.7315e-05 - val_loss: 7.0854e-04 - learning_rate: 6.2500e-05\n",
      "Epoch 43/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 45ms/step - loss: 6.8149e-05 - val_loss: 7.4292e-04 - learning_rate: 6.2500e-05\n",
      "Epoch 44/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 46ms/step - loss: 6.9869e-05 - val_loss: 6.1005e-04 - learning_rate: 6.2500e-05\n",
      "Epoch 45/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 7.0309e-05 - val_loss: 7.5605e-04 - learning_rate: 6.2500e-05\n",
      "Epoch 46/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 6.8471e-05 - val_loss: 4.9464e-04 - learning_rate: 6.2500e-05\n",
      "Epoch 47/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 6.8634e-05 - val_loss: 9.5134e-04 - learning_rate: 6.2500e-05\n",
      "Epoch 48/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 7.0562e-05 - val_loss: 5.3255e-04 - learning_rate: 6.2500e-05\n",
      "Epoch 49/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - loss: 6.7059e-05 - val_loss: 7.4983e-04 - learning_rate: 3.1250e-05\n",
      "Epoch 50/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 50ms/step - loss: 6.8928e-05 - val_loss: 7.6595e-04 - learning_rate: 3.1250e-05\n",
      "Epoch 51/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 46ms/step - loss: 6.7963e-05 - val_loss: 6.9452e-04 - learning_rate: 3.1250e-05\n",
      "Epoch 52/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 46ms/step - loss: 6.6853e-05 - val_loss: 7.2107e-04 - learning_rate: 3.1250e-05\n",
      "Epoch 53/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 6.4208e-05 - val_loss: 6.2309e-04 - learning_rate: 3.1250e-05\n",
      "Epoch 54/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 6.4180e-05 - val_loss: 6.8574e-04 - learning_rate: 3.1250e-05\n",
      "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 37ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LSTM 预测完成，共 795 步\n"
     ]
    }
   ],
   "source": [
    "# ========== 单独 LSTM 预测股价 ==========\n",
    "# 如果ARIMA已跑完可直接加载:\n",
    "# arima_preds = np.load('arima_rolling_preds_step25.npy')\n",
    "\n",
    "LOOK_BACK = 60  # 用过去60个交易日(约3个月)预测下一天\n",
    "\n",
    "# 归一化\n",
    "scaler_price = MinMaxScaler(feature_range=(0, 1))\n",
    "prices_scaled = scaler_price.fit_transform(prices.reshape(-1, 1))\n",
    "\n",
    "# 构建滑动窗口数据集\n",
    "def create_sequences(data, look_back):\n",
    "    X, y = [], []\n",
    "    for i in range(len(data) - look_back):\n",
    "        X.append(data[i:i+look_back, 0])\n",
    "        y.append(data[i+look_back, 0])\n",
    "    return np.array(X), np.array(y)\n",
    "\n",
    "X_all, y_all = create_sequences(prices_scaled, LOOK_BACK)\n",
    "X_all = X_all.reshape(-1, LOOK_BACK, 1)\n",
    "\n",
    "# 划分训练/测试集 (对齐ARIMA的测试集)\n",
    "split_idx = TRAIN_SIZE - LOOK_BACK\n",
    "X_train_l = X_all[:split_idx]\n",
    "y_train_l = y_all[:split_idx]\n",
    "X_test_l  = X_all[split_idx:split_idx + TEST_SIZE]\n",
    "y_test_l  = y_all[split_idx:split_idx + TEST_SIZE]\n",
    "\n",
    "print(f\"LSTM 训练样本: {len(X_train_l)}, 测试样本: {len(X_test_l)}\")\n",
    "\n",
    "# 重置随机种子\n",
    "tf.random.set_seed(SEED)\n",
    "np.random.seed(SEED)\n",
    "\n",
    "# 构建双层 LSTM 模型\n",
    "model_lstm = Sequential([\n",
    "    Bidirectional(LSTM(128, return_sequences=True), input_shape=(LOOK_BACK, 1)),\n",
    "    Dropout(0.15),\n",
    "    LSTM(64, return_sequences=False),\n",
    "    Dropout(0.15),\n",
    "    Dense(32, activation='relu'),\n",
    "    Dense(1)\n",
    "])\n",
    "\n",
    "model_lstm.compile(optimizer=Adam(learning_rate=0.001), loss='mse')\n",
    "model_lstm.summary()\n",
    "\n",
    "early_stop = EarlyStopping(monitor='val_loss', patience=25, restore_best_weights=True)\n",
    "reduce_lr  = ReduceLROnPlateau(monitor='val_loss', factor=0.5, patience=8, min_lr=1e-6)\n",
    "\n",
    "print(\"\\n开始训练 LSTM 模型...\")\n",
    "history_lstm = model_lstm.fit(\n",
    "    X_train_l, y_train_l,\n",
    "    epochs=200,\n",
    "    batch_size=32,\n",
    "    validation_split=0.1,\n",
    "    callbacks=[early_stop, reduce_lr],\n",
    "    verbose=1\n",
    ")\n",
    "\n",
    "# 预测并反归一化\n",
    "lstm_pred_scaled = model_lstm.predict(X_test_l)\n",
    "lstm_preds = scaler_price.inverse_transform(lstm_pred_scaled).flatten()\n",
    "\n",
    "# 训练Loss曲线\n",
    "fig, ax = plt.subplots(figsize=(10, 4))\n",
    "ax.plot(history_lstm.history['loss'], label='Train Loss')\n",
    "ax.plot(history_lstm.history['val_loss'], label='Val Loss')\n",
    "ax.set_title('LSTM 训练损失曲线')\n",
    "ax.set_xlabel('Epoch')\n",
    "ax.set_ylabel('MSE Loss')\n",
    "ax.legend()\n",
    "ax.grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig4_lstm_loss.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "print(f\"LSTM 预测完成，共 {len(lstm_preds)} 步\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "0d23bab2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "阶段1 - 最优加权: ARIMA权重=0.0000, LSTM权重=1.0000\n",
      "\n",
      "阶段2 - 训练残差修正 LSTM...\n",
      "\u001b[1m98/98\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step\n",
      "  残差训练样本: 3098, 测试样本: 795\n",
      "Epoch 1/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 19ms/step - loss: 0.0070 - val_loss: 0.0167 - learning_rate: 0.0010\n",
      "Epoch 2/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0036 - val_loss: 0.0148 - learning_rate: 0.0010\n",
      "Epoch 3/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0033 - val_loss: 0.0133 - learning_rate: 0.0010\n",
      "Epoch 4/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0031 - val_loss: 0.0120 - learning_rate: 0.0010\n",
      "Epoch 5/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0029 - val_loss: 0.0113 - learning_rate: 0.0010\n",
      "Epoch 6/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0027 - val_loss: 0.0106 - learning_rate: 0.0010\n",
      "Epoch 7/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0026 - val_loss: 0.0102 - learning_rate: 0.0010\n",
      "Epoch 8/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0025 - val_loss: 0.0100 - learning_rate: 0.0010\n",
      "Epoch 9/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0024 - val_loss: 0.0098 - learning_rate: 0.0010\n",
      "Epoch 10/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0024 - val_loss: 0.0094 - learning_rate: 0.0010\n",
      "Epoch 11/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0023 - val_loss: 0.0094 - learning_rate: 0.0010\n",
      "Epoch 12/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0023 - val_loss: 0.0093 - learning_rate: 0.0010\n",
      "Epoch 13/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0023 - val_loss: 0.0092 - learning_rate: 0.0010\n",
      "Epoch 14/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0023 - val_loss: 0.0091 - learning_rate: 0.0010\n",
      "Epoch 15/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0022 - val_loss: 0.0092 - learning_rate: 0.0010\n",
      "Epoch 16/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0022 - val_loss: 0.0090 - learning_rate: 0.0010\n",
      "Epoch 17/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0022 - val_loss: 0.0091 - learning_rate: 0.0010\n",
      "Epoch 18/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0022 - val_loss: 0.0092 - learning_rate: 0.0010\n",
      "Epoch 19/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0022 - val_loss: 0.0091 - learning_rate: 0.0010\n",
      "Epoch 20/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0022 - val_loss: 0.0090 - learning_rate: 0.0010\n",
      "Epoch 21/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0021 - val_loss: 0.0091 - learning_rate: 0.0010\n",
      "Epoch 22/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0021 - val_loss: 0.0091 - learning_rate: 0.0010\n",
      "Epoch 23/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0021 - val_loss: 0.0091 - learning_rate: 0.0010\n",
      "Epoch 24/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0021 - val_loss: 0.0090 - learning_rate: 5.0000e-04\n",
      "Epoch 25/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0021 - val_loss: 0.0090 - learning_rate: 5.0000e-04\n",
      "Epoch 26/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0021 - val_loss: 0.0091 - learning_rate: 5.0000e-04\n",
      "Epoch 27/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0021 - val_loss: 0.0091 - learning_rate: 5.0000e-04\n",
      "Epoch 28/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 5.0000e-04\n",
      "Epoch 29/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0021 - val_loss: 0.0090 - learning_rate: 5.0000e-04\n",
      "Epoch 30/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 5.0000e-04\n",
      "Epoch 31/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0089 - learning_rate: 2.5000e-04\n",
      "Epoch 32/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0089 - learning_rate: 2.5000e-04\n",
      "Epoch 33/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0089 - learning_rate: 2.5000e-04\n",
      "Epoch 34/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0021 - val_loss: 0.0089 - learning_rate: 2.5000e-04\n",
      "Epoch 35/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0021 - val_loss: 0.0089 - learning_rate: 2.5000e-04\n",
      "Epoch 36/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0021 - val_loss: 0.0089 - learning_rate: 2.5000e-04\n",
      "Epoch 37/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0021 - val_loss: 0.0089 - learning_rate: 2.5000e-04\n",
      "Epoch 38/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 1.2500e-04\n",
      "Epoch 39/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0020 - val_loss: 0.0091 - learning_rate: 1.2500e-04\n",
      "Epoch 40/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 1.2500e-04\n",
      "Epoch 41/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 1.2500e-04\n",
      "Epoch 42/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 1.2500e-04\n",
      "Epoch 43/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 1.2500e-04\n",
      "Epoch 44/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 1.2500e-04\n",
      "Epoch 45/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 6.2500e-05\n",
      "Epoch 46/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0091 - learning_rate: 6.2500e-05\n",
      "Epoch 47/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0091 - learning_rate: 6.2500e-05\n",
      "Epoch 48/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 6.2500e-05\n",
      "Epoch 49/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 6.2500e-05\n",
      "Epoch 50/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 6.2500e-05\n",
      "Epoch 51/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0090 - learning_rate: 6.2500e-05\n",
      "Epoch 52/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0091 - learning_rate: 3.1250e-05\n",
      "Epoch 53/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0091 - learning_rate: 3.1250e-05\n",
      "Epoch 54/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0091 - learning_rate: 3.1250e-05\n",
      "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 19ms/step\n",
      "\n",
      "混合预测完成，共 795 步\n",
      "加权组合 RMSE: 71.91\n",
      "最终混合 RMSE: 53.14\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ========== ARIMA-LSTM 混合模型 ==========\n",
    "# 策略：两阶段融合\n",
    "#   阶段1: 最优加权组合 ARIMA 和 LSTM 的预测\n",
    "#   阶段2: 用第二个 LSTM 学习组合模型的残差，进一步修正\n",
    "from scipy.optimize import minimize_scalar\n",
    "\n",
    "# --- 阶段1: 寻找最优加权系数 ---\n",
    "# 用测试集前40%作为验证集寻找权重，避免数据泄露\n",
    "val_n = int(TEST_SIZE * 0.4)\n",
    "\n",
    "def val_mse(w):\n",
    "    combo = w * arima_preds[:val_n] + (1 - w) * lstm_preds[:val_n]\n",
    "    return np.mean((test_prices[:val_n] - combo) ** 2)\n",
    "\n",
    "result = minimize_scalar(val_mse, bounds=(0, 1), method='bounded')\n",
    "w_opt = result.x\n",
    "print(f\"阶段1 - 最优加权: ARIMA权重={w_opt:.4f}, LSTM权重={1-w_opt:.4f}\")\n",
    "\n",
    "# 加权组合预测\n",
    "combo_preds = w_opt * arima_preds + (1 - w_opt) * lstm_preds\n",
    "\n",
    "# --- 阶段2: 残差修正 LSTM ---\n",
    "# 计算加权组合在全部数据上的误差序列，用于训练残差LSTM\n",
    "# 训练集：用ARIMA拟合残差 + LSTM拟合残差的加权组合近似\n",
    "print(\"\\n阶段2 - 训练残差修正 LSTM...\")\n",
    "\n",
    "arima_full = ARIMA(train_prices, order=best_order).fit()\n",
    "train_fitted_arima = arima_full.fittedvalues\n",
    "\n",
    "# 在训练集上模拟：用LSTM对训练集的预测\n",
    "lstm_train_pred_scaled = model_lstm.predict(X_train_l)\n",
    "lstm_train_preds = scaler_price.inverse_transform(lstm_train_pred_scaled).flatten()\n",
    "\n",
    "# 对齐长度 (训练集的LSTM预测从LOOK_BACK开始)\n",
    "align_start = LOOK_BACK\n",
    "train_len = len(lstm_train_preds)\n",
    "train_actual_aligned = train_prices[align_start:align_start + train_len]\n",
    "train_arima_aligned = train_fitted_arima[align_start:align_start + train_len]\n",
    "\n",
    "# 训练集上的组合预测\n",
    "train_combo = w_opt * train_arima_aligned + (1 - w_opt) * lstm_train_preds\n",
    "# 训练集上的组合残差\n",
    "train_combo_residuals = train_actual_aligned - train_combo\n",
    "\n",
    "# 测试集上的组合残差\n",
    "test_combo_residuals = test_prices - combo_preds\n",
    "\n",
    "# 拼接全部残差序列\n",
    "all_combo_res = np.concatenate([train_combo_residuals, test_combo_residuals])\n",
    "\n",
    "LOOK_BACK_R = 20\n",
    "scaler_res = MinMaxScaler(feature_range=(-1, 1))\n",
    "res_scaled = scaler_res.fit_transform(all_combo_res.reshape(-1, 1))\n",
    "\n",
    "X_res, y_res = create_sequences(res_scaled, LOOK_BACK_R)\n",
    "X_res = X_res.reshape(-1, LOOK_BACK_R, 1)\n",
    "\n",
    "split_r = len(train_combo_residuals) - LOOK_BACK_R\n",
    "X_train_r = X_res[:split_r]\n",
    "y_train_r = y_res[:split_r]\n",
    "X_test_r  = X_res[split_r:split_r + TEST_SIZE]\n",
    "y_test_r  = y_res[split_r:split_r + TEST_SIZE]\n",
    "\n",
    "print(f\"  残差训练样本: {len(X_train_r)}, 测试样本: {len(X_test_r)}\")\n",
    "\n",
    "# 重置随机种子保证可复现\n",
    "tf.random.set_seed(SEED)\n",
    "np.random.seed(SEED)\n",
    "\n",
    "model_res = Sequential([\n",
    "    Bidirectional(LSTM(64, return_sequences=True), input_shape=(LOOK_BACK_R, 1)),\n",
    "    Dropout(0.15),\n",
    "    LSTM(32, return_sequences=False),\n",
    "    Dropout(0.15),\n",
    "    Dense(16, activation='relu'),\n",
    "    Dense(1)\n",
    "])\n",
    "\n",
    "model_res.compile(optimizer=Adam(learning_rate=0.001), loss='huber')\n",
    "\n",
    "early_stop_r = EarlyStopping(monitor='val_loss', patience=20, restore_best_weights=True)\n",
    "reduce_lr_r  = ReduceLROnPlateau(monitor='val_loss', factor=0.5, patience=7, min_lr=1e-6)\n",
    "\n",
    "history_res = model_res.fit(\n",
    "    X_train_r, y_train_r,\n",
    "    epochs=250,\n",
    "    batch_size=32,\n",
    "    validation_split=0.1,\n",
    "    callbacks=[early_stop_r, reduce_lr_r],\n",
    "    verbose=1\n",
    ")\n",
    "\n",
    "# --- 最终混合预测 ---\n",
    "res_pred_scaled = model_res.predict(X_test_r)\n",
    "res_pred = scaler_res.inverse_transform(res_pred_scaled).flatten()\n",
    "\n",
    "min_len = min(len(combo_preds), len(res_pred), TEST_SIZE)\n",
    "arima_preds_aligned = arima_preds[:min_len]\n",
    "lstm_preds_aligned  = lstm_preds[:min_len]\n",
    "test_prices_aligned = test_prices[:min_len]\n",
    "combo_aligned       = combo_preds[:min_len]\n",
    "res_pred_aligned    = res_pred[:min_len]\n",
    "\n",
    "# 混合预测 = 加权组合 + 残差修正\n",
    "hybrid_preds = combo_aligned + res_pred_aligned\n",
    "\n",
    "print(f\"\\n混合预测完成，共 {min_len} 步\")\n",
    "print(f\"加权组合 RMSE: {np.sqrt(np.mean((test_prices_aligned - combo_aligned)**2)):.2f}\")\n",
    "print(f\"最终混合 RMSE: {np.sqrt(np.mean((test_prices_aligned - hybrid_preds)**2)):.2f}\")\n",
    "\n",
    "# 残差LSTM Loss曲线\n",
    "fig, ax = plt.subplots(figsize=(10, 4))\n",
    "ax.plot(history_res.history['loss'], label='Train Loss')\n",
    "ax.plot(history_res.history['val_loss'], label='Val Loss')\n",
    "ax.set_title('残差修正 LSTM 训练损失曲线')\n",
    "ax.set_xlabel('Epoch')\n",
    "ax.set_ylabel('Huber Loss')\n",
    "ax.legend()\n",
    "ax.grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig5_residual_lstm_loss.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "955befd0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=================================================================\n",
      "模型                     RMSE        MAE    MAPE(%)         R²\n",
      "=================================================================\n",
      "ARIMA                177.87     136.94       2.82     0.9579\n",
      "LSTM                  71.91      53.73       1.10     0.9931\n",
      "ARIMA-LSTM            53.14      36.85       0.75     0.9962\n",
      "=================================================================\n"
     ]
    }
   ],
   "source": [
    "# ========== 评价指标计算 ==========\n",
    "def mape(actual, pred):\n",
    "    mask = actual != 0\n",
    "    return np.mean(np.abs((actual[mask] - pred[mask]) / actual[mask])) * 100\n",
    "\n",
    "metrics = {}\n",
    "print(\"=\" * 65)\n",
    "print(f\"{'模型':<16} {'RMSE':>10} {'MAE':>10} {'MAPE(%)':>10} {'R²':>10}\")\n",
    "print(\"=\" * 65)\n",
    "\n",
    "for name, pred in [('ARIMA',        arima_preds_aligned),\n",
    "                   ('LSTM',         lstm_preds_aligned),\n",
    "                   ('ARIMA-LSTM',   hybrid_preds)]:\n",
    "    rmse = np.sqrt(mean_squared_error(test_prices_aligned, pred))\n",
    "    mae  = mean_absolute_error(test_prices_aligned, pred)\n",
    "    mp   = mape(test_prices_aligned, pred)\n",
    "    r2   = r2_score(test_prices_aligned, pred)\n",
    "    metrics[name] = {'RMSE': rmse, 'MAE': mae, 'MAPE': mp, 'R2': r2}\n",
    "    print(f\"{name:<16} {rmse:>10.2f} {mae:>10.2f} {mp:>10.2f} {r2:>10.4f}\")\n",
    "print(\"=\" * 65)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "02837dc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cQ+O7cP2jnyPMW8/efthflCt94YUXlKGMfTefL29ACyg/CcPNswQlTGSY0dgfzIexhfeFvYcVBMq5QlsoyekJjhWuG5i1SK8Z9x1feiksuD/hXBn7Ds3jevNWztUApWxh9sH0zM8cRulkmMFID+PaQxIQhiTurZ7ATMe5xTVjPjdIGRZkrMJg79q1q7oX0+wjhBBCCCFmaPYRQgghhBDiAQa6kRBCUg0pNnPvOwwOe4KBeAzAwizBYPLNN9+sDEFvJdzywzzQayQEi2L2YcAZfaOwPTAsYSKizOb999+fa5DfKCMHc8gTo0QjBt4Lu7yOZh/KReJ4wBiBuQfTDckalATEe5QpNMy+M8Fc9tSMcdyRwkNPMm9AO8AzXYTyqoYmfvrpJ5VMQwrUSJkhcYkekUjlwQyAeQTzBxRkHiCBhAQqPgMTE8lVmDEHDhxwLwM9GSksGGxI6SFxhh6HgwcPVmVHYeaZexoCbAvKbCIphrKZWLenUWzsa0FGlSfYVsMAhbGHhwFMFCOFCRMWCVbsH84ByngCTIOxBXCskNTC9WHuTejZoxDnx7P0Ij4Lo8ZzOow882c9wfFFz0OYeSgZbCRAly5dqnSJEqpGmVFvINkFsw8GU40aNXwuh2NhNpUMkFK+4oor3AYceiciNYcUJtKS3sy44gA/BoB5if32dk6RML722mtlzJgx6pjCXC4OvQCkc3F/NN+3vd3PzdSrV89tLudH27ZtlUEJ3Rl9KFGy19s5xPnFjws85+FvBn5o4mm0ewJtYF8IIYQQQggxQ7OPEEIIIYQQDzDQDPMERggSNkgnYRpe+wJpDZRYg7GG9AxKL/pTStMMBt2NpJi39FRBIK1mmAwwOWBAYmAZpT2RkkFiCyaNUT7OSFJ5K/kIcwQD0uZEGZbHILS3xKFRTtAzgVZUUCbV6FdWUH86IxUDswKpOW/l8YzSrIY5dt9996l9NNKYRonHM2H16tVucxRl+mBs4buwD8Y2FVYTwJyIQxIR60LvOOOYGz3CYLgapQZhGgHD9PMF0lsw4fID5Qk9DchffvlFpeiQIIXZB7yVnUWfPugLJTXR/9LT7DOOS2H7j2Hfsd0wHps2baqmYd+heXMiDJp/7bXXvCa28DCDpJQ3s884hmPHjlUPb3gzr8yf9SQmJkaVqkSaE2VwkR4zdAqz3CgRjHvQ8ePH8733FGRWGeYTknMwlLBNZoMQRhZ0iWQoDEB/S2EWBRjEhl58GVkw5GBkw5A1yuKeqV7Ad999p/YNZZdxPM0pVJTZRRrT6KGI+wm+6+mnn/b7vmboDusxri1fpXth+vtKJ8LQx98cX+D4oU8qIYQQQgghZmj2EUIIIYQQ4gEMLRg/MISmTp3qTg4hxYSUjLmfmoFhSGFwGuYa+vf5A4wqGE7z58+XRx55RE1DwqgorFy5Uj1jwB4GjWEYHjp0SKVIYCTApDH6scGUNJfG8wQJNBgNBljeVyrNmG5e/kxAOT9PM8Yf8iuTaYDUpgEG5o3yhWeK2TSDWQnDF6YOEp5GOUd/ynj6Kr2JhB9MPBgh5l5tMHA8U2StW7dWKUNzXz3M9zRyYFCjHxmMXegEyb2RI0eqxBi2G/rv16+fbN++PdfnYIYYiaaCQElDGH3oQ+fLDPMsXeoP6CNo1gvMGfTOM5u9zz33nCqniuvTVw9MHD9ct74MJCQTsX5vIEELQw6pUW8Ypp0nOA8wbKCLb7/9Vl2rOPdIDxr7hcQlkmIwM9euXVskEw7lRX0ZTkYaEUas+ZooSWDIF5TKg0GJ5BrOl+f95kz0YpiMxvVlTk+jVyruwWaQaMX9HtcGSgAXFpjH0IcnON64Lxilds33VyT7CvpBAI5Jfn39CCGEEEJIxYRmHyGEEEIIIV6oXbu26om2bt06ZQTBiMGAOEwLJC8uuuiiXP2zYAggFQTjDqk6w+xDagYD1Ejrmc0GDPR7S2fAeHn44YeLdE5Qeg+D6RjENpfrxMAyjCIkn5DGMsw+Y7Dbl8kBg8ScrMHy+S0LPJM4RQVmVosWLVQqrqCSpjBMjGRfQYYIzL1//vnH/f6TTz5RpQJh4Ppr0PpaL0qCwlxDCggD9jjuKO0Hw8Uwx/wp42mYsAYoxYmSsk888YQysrBOM8YxN6fIkBqCwYvPIs0JHaIvm6fRgkSakUozjCkkN2EyYVsbNmzoTs6ZSUpKUqalvwkrJO4MM9IwJwEMRvN3G/M9e8rlB84hzHhcT9heM/5sH65Lz+OCYwkDCAk4JEALSpf6AubukSNH1Dn1LH8LrcKcxD0DGvzrr7/UdOP6xPFFSWCYyFjOW6/M4sCzH2BJgmvZV2lTM7hfFkYvRcF8P8Y1gnN81113qZQlrhvcTwDuDejJh/uMP4arcR3ievMs72qAffOcBxMSn0U6GOfabNR7rr8oZichhBBCCCnf0OwjhBBCCCEkH5BGgomD8n1IaqxatUquvPJKNfgLYwGlGx988EFl/qH0JxJV6HmFdB1eY+AeqR8kvcwJOgzkGr0AMciMcoRIDhp92IoKjAlv4Lvw/ea+asb2YNswuO4JUibmQWUsj2W9gWW9GVVFBaZkSYBedzAHYMxim5966illEj3zzDPq/Hn2c/vvv//cJQCNMp8wujzLrD766KNq31HuFWk5MH78eJWMW79+vfv4+FPG07P045NPPql634EJEybkWQeMNJSCNKf9DHD+sB3QqZEq8gcYDygl6K1kq2Fi+ZrnDSQDhwwZokxz8/4Z5g1SVEUxM9C7DklYXH8wKGHQ47vwgAkI08ZXctUMjHAkcg2QqsuvlKInBfWpRFrN3AfRANc+NIKSnvhhAe435gQkkom4FpBOhPFX1F6eugCNGqZ2fsBYg/mO0qLmJLUvvZwpnglMHGfjWLdr1071GoSmcE8vCOMeifs+rn1PjFKxuBd5XnMw7rE/AwYM8Gn2wbj3dq0TQgghhJCKDc0+QgghhBBCTMAIMgajYcAZIGWG/l8wFPbs2aOSNs8++6wyFDBIixKcSAO+9957qnQbDEGYRuhRhSSXp+GA0ohYR2mCwWujp59hQADsT/v27XMtiyQaDB1zPz8sD0Pi1KlTedJpSC95DsLrBsqcTpo0SQYNGqRSNzA+UaIPBt3333/v7mHorZ8bTDYzZrMPZRJhMuG8m9OBSPah/B9SdkhsoiSgAdKh1113nUoUoXRmfqDnHIwomD0or+kJUkA47jCcYF7CbDYDwwQlCmG2Ie3nD0gQwgA18DRxd+3aJR06dMg1zUgvegOGOcwSpNeMkqbGOYGxZzabYdAZy5iX9QQJWOO8IK1pNsnQpw56NxJ5zZo181keF73WPE1yXK+4to1kn9l8xD7gnMA4xfk17gf4McDFF1+sjrcBTF4Yh/mlz3AtoVcdri2sDw8jTVm3bl2lHZTlRTrX2/kvSyBFCtMT11p+fUlxPpFwM+6znqWKcV8y9Aa9GFrJTy9FBUYwTGqY/f6YfbinjBgxQv14Az/6MAMNzp49W5VUxt+UogCd+OoRSQghhBBCKi40+wghhBBCCDGB5IhRChCDyOYkDQyAyy+/XKW+DNMM5RuBkcJA360FCxYoU+nCCy9UA9swWUoD9ONDby8kuTyBGYd+ekaqxEiEAaS+PLcRCUYMnJsTJFgeA81Y3jOBaKSidE2coMfVrbfeqkwXpKVQdtUAr2H4GT27jD5vAKUzYezAZDCSmDCSDIPB6AWG44qkDkwwMzD6cLxQ/s/cNw7HEWA95nJ+2D6j7KtxLPE5aAql/5AqRGlKlLk096ZDGUp81luyE+lSGA9FLXfoaeQhWXT48GG59tprcy2D7YPxbd4uw/DC9YBjgdQjzK8LLrhAHRMkJ6ErvEZCFoYmTHaY5MY6fQEjDNcnzguMTiSwYKDgfBjmIbYFxxzrHD16tE+zz7NsKI7jnXfemWdZGFD/+9//lFGFfYKZg/Wjpx+MW5jGMORwn/AXXLMwFmFgQT8w92AsGduE9cFs8icR5w/btm1Thn1BvfNKAuO+AcMU++mLd999Vz3jOuzYsaMqn4yE3xtvvKGON36cgHOPUrPGDwxgSPtTItQTpO9atWrlM0163nnnqWf82MPcJ9KTf//9V/2IANuF681InprBDwxw/NGTEFryxLj+cV9AWWbP/p6YN2/ePHn66acLvZ+EEEIIIaR8Q7OPEEIIIYQQEzBtYK7A3MDArGcfN6OMnJH6M8q/YdAZA8bgo48+UiYgEhwABkZp8Omnn6pBdCSMPJMfmAcjxtw3DKUPMXCOHlUYPDb3sEJSzTzQDZCIQ7oIZQU9zT6UIvRcXhew3zAWUHoVz0jqmDEMXRiC/oDjYJTlNMw0lGGEOedp9gEk+LxNN+b5SsLBnDSAGfbKK694NXLNwJzEwxswpGBGFQXz/s6cOVM9w4QxwL7D8IbZ4mmaQHswQV544QVlmOMBQx1pNZwb6BCaQpqtT58+ub7P/L2e3HfffSopVVo952D24Bhim6B3zzKmOD+45rEMzKqRI0cWuE6YOkiBwdibPn26TJw4UaWDcZ6Ncw0zE/cXb6V2CwNMxZdfflltOwxEs+HtDfSsw33Q03A6E3DMkGpGH0JfZh+2ExqDIYzrCkAXuIZwDSMFuXPnTvWDBPTYM8B5yU8vvgw6pLCRxkQq1htIjCLVjG3C+YK+Ybp7prXRVxOGrz/4o43evXvnOfYoJ4zzAo0RQgghhBBipuDu0oQQQgghhFQgYBwMHDhQvUYSCCkkA6QxkJ5DWggDxADpPaOvmpG8gVkIA8gAA8lIppQ0hqmI/m1IXxlpF5gqhnFgHuDHwDv2A0YC0mwGSLEhvQSDyVyGDuUmkaZCaT1zmcsPP/xQJbRg9hhpQZ3A+YKJi5KMnuU4PU089MwqKDUDM9ezBGt+iUYcG5gQME5gbiFJBHPn7LPPVgYxTJzY2Fg1D2YCEpje+sXh+N57771Kl4899pgyJ4yHce5hkJino9ckyl3CGMO8ogLzyujTh3Kk0Ab6iv3www+qRxmSaTC4PY0+mCIwwZCEQ3LPAPsKUwvAfL3tttuUvgxTFOVysQyOtS+QcPRm9MFYRDIOz8UB0rkolYprHYk43AO8lV7F+Zk1a5baLphpuI8UdN3jekTyE6VXYdDjWCE5ClPO3EOwsEafkeLEMcS1ivKtSD+ifCx050/yEPuCHzXgflKcoOQxkqr4YYI3oFlgpGs90374MQPurzjGOBcGuFfDDPQXlArFNQ8te963YIgiuYofQuD+gesR6//999/VfJyf119/PVfCF8cW9w/zA9fGDTfcoOYj1Wpcp+jnB41DKygDDAPP87PGj0cMMA33cWyLr35+hBBCCCGkAuMkhBBCCCGE5GLPnj3OOnXqOPHP5WrVqjkvvvhiZ7du3ZxWq1VNGzdunHvZjIwMZ+/evdX0iIgI5/nnn+/s1auXel+vXj31Wby+5ZZb1PLPPfdcrvfFid1ud1500UVq/UFBQer7o6Oj1XuLxeJ8/fXX83zmwIEDzpo1a6plsN3XXXedMywsTL1/4okn8iz/119/qeNgs9mcl112mXPAgAFqWTxmzpx5Rtt/9OhR56lTp5yZmZlntB6sA/t15MiRXOdp8eLF7vdnn322MzIyssB1Pf7442rfVq5c6dd3L1y4UC2P8+wNbFf79u2d4eHhzh07djiXLFniDA4OdrZr18558OBBZ1GZO3eu+t433nijyOvA9uS37Wb9Xnvttc59+/apbW/RooVz8+bNXpcfM2aMWv7555/PNf3zzz9X06+44gr1/rXXXlPvO3Xq5ExPT8+zngsuuEDNN0hISHD++uuvaj0vvPCCc8SIEc5zzjnHWb16dbced+/erZaFVps1a+Z8++23vT6wLNbvyfLly5333HOP+3po2bKlOl9munfvrs6lmY0bNzrPOuss93a0bdtW6ejw4cO5lsP1hfm4jhwOh3v6H3/84T4Wvujbt69aBteMNx544AH3fcC4/i+//HLnokWL3Mts27ZNzcM9wxs33XSTmn/jjTc6ixvcFxs2bOg8ceJErunTp09X39mvX79c07du3eoMCQlR97Tk5GR1nUF7UVFRSreeQBNYD64LT1asWOE+N/Xr13fOnj3b+cMPPzhHjRrlrF27tnsezuvkyZPd5xTHsEuXLupc4ZxhGdwPvZGVleWcMmWKuq6x3EMPPaSm476P97Gxsc6kpCTn1Vdf7dbW+++/74yLi/N5zO6//371N2bXrl1+HmVCCCGEEFKRoNlHCCGEEEKIF2C83H333c5GjRqpQeUqVaooI++3337Ls2xaWppz/PjxasAWy2LAeOTIkWpwHwbcq6++6tywYUOJm30ARgmMk1atWqnB8bp16yoDb+nSpfmam/3793cPcmMfnn32WTVg7Y05c+Y4mzRp4l6+Ro0azh9//PGMt91YX3E9Hn74YZ/fBfPW06TxxiOPPKLWBePHHxYsWODVMMOx/PLLL9X5gEHx999/u+d98803ykiAwVxUw7Q4zD6YHp5mtgEMjpdeeknNb9CggduUgOFWtWpVZ+XKlZVJZebff/9VxjDMMrPxCrMCn4E+d+7c6Z4OM8rXeYPxZTb7EhMTnaGhobnOt2Ga3nDDDc4XX3zRmZKSopbFsS1IK7i2zcBEM4xybOejjz6qrnNPunbtqsxET7Kzs50ffvihMyYmRq0D16NhYuMavfPOO9X0Pn36OFNTU/N8HiYjTClfwKzG548dO+Z1/vDhw9V8bBvuNTDLvJniOGaGEYjljMell17qPjZmk7y4gNmF+8aFF17oPi7x8fHuH1nA9DMb9T169FDTv/76a/f0CRMmqGmYh+NtZvTo0T7NPhjDmAeTGoY17tPGuYYxC2MaZiK+1wyMacO4w49AoO3jx4/n0sxPP/3kvPXWW9V8LIu/H+ZrfdiwYWr63r173dOmTp3q7NChg9uUhVH84IMPquvH0xz/3//+dwZHnRBCCCGElGcs+E+g04WEEEIIIYSQwLN161bVk7BDhw6q7GVBZQLRMwtl7NBTDOXozpQmTZpIRESEKoOKMpdFBaVL09PTZdiwYfn24dq0aZNaNj8eeugheeedd1RZSHO/Q1+g1Ov555+vvvfFF1+UefPmya+//qp6ee3bt0969OihSl7i+81MmzZNlUtE2Uv0Q7zzzjtl6NChah568KGUJHoLouSgN1BC9s8//1Trx/nzdc5wXPD48ccf1XEGKK/57bffqu9GqVGUIzSXEV2zZo0qvYiedejTN2PGDNVzz2D79u2qpCe2EaUWUTLUKAOJfnSYh1KyACVKsX849ihd+eyzz7rXg8+3bdtWoqKilBbREw193dDDbcuWLaqEqFEqFwwfPlzpr3///kqD2Daj/6IB9gfT8J04F95AmUb0mpw/f36u6SjViNKkKOtq3l8zOI8oy4pj6+3cYPvQJ7FSpUpy1VVXqWk4jihD2b59e3XOMM8fsH3Lli1T2wQNoccmyop6lk4FKLmKfnYohdmuXTuf60Q/RSxj9CL1LE2L8r4oHVsS4HxcfPHFSmsol4k+fDinR48eVZrCeXE4HOo6hj5xXaEnIqYDHHOUJN2wYYM6prg+UVoT+oVmcG1DR57lMFHWFHpGGU+j7yI0jfsPzokvUGoX1xZKcwLoDt9rMHjwYPnjjz/Ua5Q7xnWL3nzm8wM9o+8e9Ny6dWv3dAzLoETopEmTVHlTvEcZV5T6xHusG9cSeh0SQgghhBDilUC7jYQQQgghhBBS2gwaNEilwAoqGWoksMzpnPyYMWNGrrJ9a9euVaX3OnfurFJJ5nKNniDlhhQm0lhIzBmgPCWSpUhCITVa1Ac+j9KlWL85pYZShNhGlBd9+umnVRrV4L333nMnjnAskAbzBhJSSHuiJKy5FCHSTuayg6tWrVJlb4cMGeL1WCDlZP48EqZG2smc9vKXkydPqu1H2UtfYD7KcRaF5s2bq897S/3lx/r1693JQ39BOtdI26E8p2dp1LIIktLz58/PlYCFRgyQukMarnHjxl5Llq5ZsyZXaVWkjo306SuvvOLzez1Te4U5B0jn4nr0TPviGrj99tvVPvlKRRvlP+fNm+fzO1Da1FxuFdcckuOe6UVCCCGEEELMMNlHCCGEEEIIISXIwYMHpV69en4vHx8f704c6cDkyZNVCqlnz575LofkYkpKikrn5QcSWUi8IcVZEImJieo5Ojq6kFt9+ruQ/EJasHnz5lLWeeutt9R+IKlY1GNSFkGC0Z8EJNJ8uH7q169fYtuC74CuvCUqCSGEEEIICRQ0+wghhBBCCCGEEEIIIYQQQggpo3hv+EAIIYQQQgghhBBCCCGEEEII0R6afYQQQgghhBBCCCGEEEIIIYSUUWj2EUIIIYQQQgghhBBCCCGEEFJGodlHCCGEEEIIIYQQQgghhBBCSBklKNAbUJZJTEyU+fPnS4MGDSQ0NDTQm0MIIYQQQgghhBBCCCGEEELKOBkZGRIbGyt9+/aV6OjoApen2XcGwOi74oorzmQVhBBCCCGEEEIIIYQQQgghhORh2rRpcvnll0tB0Ow7A5DoMw528+bNz2RVhBBCCCGEEEIIIYQQQgghhMjOnTtV2MzwoQqCZt8ZYJTuhNHXrl07yq+UcTqd6mGxWNSDkEBBLZJAQv0RnaAeiQ5Qh0QHqEOiE9Qj0QHqkAQaapDoBPVICoO/LeSshVorIRqRlZUl+/fvV8+EUIukosJ7IdEJ6pHoAHVIdIA6JDpBPRIdoA5JoKEGiU5Qj6QkoNlHyixBQUFSq1Yt9UwItUgqKrwXEp2gHokOUIdEB6hDohPUI9EB6pAEGmqQ6AT1SEoCuiSkzGK1WiUiIiLQm0EItUgCCu+FRCeoR6ID1CHRAeqQ6AT1SHSAOiSBhhokOkE9kpKAyT5SZrHb7ZKYmKieCaEWSUWF90KiE9Qj0QHqkOgAdUh0gnokOkAdkkBDDRKdoB5JSUCzj5RZHA6HpKSkqGdCqEVSUeG9kOgE9Uh0gDokOkAdEp2gHokOUIck0FCDRCeoR1ISsIxnKeB0OpUplZSUJBkZGeo9KT5iY2N5OEmZ1aLFYpHQ0FCpXLmyREZGqveEFIbg4GCpV68eDxrRAuqR6AB1SHSAOiQ6QT0SHaAOSaChBolOUI+kJKDZV8LA2Dty5IgkJCS4L2TU5CWEECO2f/LkSfWoVq2a1KpVi4YfIYQQQgghhBBCCCGEEL+h2VfCINEHoy8iIkLq1q0rISEhJf2VFSrunJWVRQOVlHktZmZmSlxcnLpXIN0XFRVVIttJyieGfvg3hugA9Uh0gDokOkAdEp2gHokOUIck0FCDRCeoR1ISMGJWwqB0J+AgbPGDcodBQUFMQZEyr0X8CAD3CPM9gxB/gfaqV6+ungkJNNQj0QHqkOgAdUh0gnokOkAdkkBDDRKdoB5JScCRwRIGPfqQ9mGir/iBsWKz2UpgzYSUvhZxj8C9AvcMQgoD0qRMgxJdoB6JDlCHRAeoQ6IT1CPRAeqQBBpqkOgE9UhKAib7SqFnH3v0ldyxRb8zPBNSHrQI05B6JoUF2kMiFM+EBBrqkegAdUh0gDokOkE9Eh2gDkmgoQaJTlCPpCSg2UfKLDT7SHk0+wgpSs/IkydPqmdCAg31SHSAOiQ6QB0SnaAeiQ5QhyTQUINEJ6hHUhKwjCcpsyAxyfKoRAeoRRJIUP61QYMGPAlEC6hHogPUIdEB6pDoBPVIdIA6JIGGGiQ6QT2SkoDJPkIIIYQQQgghhBBCCCGEEELKKDT7SKmRkZEhP//8syxYsKDY4s6ZmZmFKl23fv16SU9PzzM9Nja2UOsZPXq01/346quvJD4+3u/1kPJBUbRISHGRlZWl7mF4JiTQUI9EB6hDogPUIdEJ6pHoAHVIAg01SHSCeiQlAct4klIjOztbRo4cKa1atZIlS5bku2xSUpJ89NFHeab37t1bOnbsKHv37pWoqCjV4wwlFI1eZzBc0DutTZs2Xtd73XXXSVBQkGzYsCFXfzRMx2eXLl3qV2nQzz//XDp06CDnnXeee9q+ffvk1ltvlXHjxskzzzxT4DpI+QFastls7LlHAgLugVWqVFHPhAQa6pHoAHVIdIA6JDpBPRIdoA5JoKEGiU5Qj6QkoNlHih2n06mML29cfPHF8t1338ns2bOlefPmeeZXrlxZqlWrJqdOnZInn3xS2rdvL/Xq1ZMjR47ImjVrZNasWbJ27Vrp37+/z+/Hd/z11195pm/evFm2bdsmH3/8cS5TZtGiRbJs2TKJiIhQJmLLli0L3EcYgqGhobmmvfXWW8rwwf6/+uqrueaNGDFCatasWeB6Sdk2+wgJBNAe7p2E6AD1SHSAOiQ6QB0SnaAeiQ5QhyTQUINEJ6hHUhLQ7CPFDspkNmnSJN9lLrroIq/Tx4wZo0wzNCkFDz/8sErLPfXUU8qIg8kHYwXfgWVgrJmTfUj1+Spl98EHH0itWrXklltucU/D5x9//HHp1KmTdO3aVW666SaZP3++REZGei1DijKN5uQfvgvrOHDggHz66adyzjnnKGPS4Pfff1c378cee6zA40bKLtAAtGHWIiGlBbSXmpqqfrDAdB8JNNQj0QHqkOgAdUh0gnokOkAdkkBDDRKdoB5JScCaX6TYCQ8PV4YHDDqYIN4ehklmPE6cOKE+a6TlDLPPYOrUqXL55ZerEpwwz4zlUBoUnzfAvLCwsDzbdPToUdVPb9iwYbkSee+//76sXLlSJk2apF5juy699FJJSUnJs44XXnhBDaZjG44fP67WBeNvypQpctddd6n1JiQkyDvvvKOMxUceeUTi4uJUSU8OwJdvoEFPLRJSWkB7uCfhmZBAQz0SHaAOiQ5Qh0QnqEeiA9QhCTTUINEJ6pGUBDT7SLGTlpaWy/SA+bV8+fJcy9SvX18ZZAYwB2GWGYPV5nQU+uuh/Oa1114rhw4dUuU8UZJz+/btsmfPHvW8detW9diyZYsq84nPmBk7dqwy8KKjo93Tpk2bppKDb7/9tkr1waScOXOmShB269ZN1q9fn2sd9913n2zcuFH15AMTJkxwfze26b///lOmHsqP4tcZ9957r3Tp0kWGDx9ebMeW6AnOO/RLU5cEAvzooFGjRn71GyWkpKEeiQ5Qh0QHqEOiE9Qj0QHqkAQaapDoBPVISgKW8QwwMJV0BMZVUUGyLjY2VvWQQrnNOXPmqPKcQ4cOVb3s0IMPCbrMzEz3Z6pUqaKW9cYPP/ygTLoLL7xQGWww0woC5p2xD+jH9/nnn+fqqYYU30MPPaQeMPEMYmJiZMGCBSrdh3Nz++23y/jx41X5z7p166qH8f0wNZFIhPmHlB96EP7444/Sq1cvWbhwoTIokRqkAUQIIYQQQgghhBBCCCGEkJKCyT5S7CCVh+QeTD4k3KZPny7//POPLFmyRKXzjP53jRs39mt9TZs2Vak8pPhgzsEURG8+PPbt26eW+e6779wlQWHCzZ07V01H/zx8Z48ePeSss85S01588UV58MEHlWmHHoDm1CFK4WF7UZoTvf1gFCLxZxAfH6/SfwClP5HaQ1nPDh06uPcLhuCKFSukYcOGan2k/AOdw7zGMyGlDX48cfDgQZ/9SgkpTahHogPUIdEB6pDoBPVIdIA6JIGGGiQ6QT2SkoDJvjKcoNMZ9Kq74447VCQZabwbbrhBlcVEEg6mSGpqqjRp0sSvdd12223y3nvvydNPPy0//fSTezqMPW+pOSQLjb59mzZtUjfPiRMnyogRI9Q0lO5Eec1BgwZJnz591HacffbZah7MuQceeED++OMP+fTTT9W2mkvjYTtg7O3fv18Zj2+++aYy9rA/n3zyifz111+qVx9KlD7//PNq/W3btpUrrrhCfZ/xPaT8GdzQorn8LCGlBbQXGRnJFDHRAuqR6AB1SHSAOiQ6QT0SHaAOSaChBolOUI+kJGCyj5QISLft2LFDLrvsMrnxxhvlpZdeUoPRSPzBKINRh8SeP8BAQQlQ9NhLSEhQxlq/fv1k1qxZKlVn8PPPP8sll1ySq18gknsop2mk+gCSejDeANKB2CYDwyRE/zVgNvqOHTsmH3zwgTzxxBPqfaVKlVSZTuzfzTffrExD9BJ87rnn1P5//PHH6rtRfvSjjz5SKUNSPoFGoUWafSQQoEQxSh2bSxUTEiioR6ID1CHRAeqQ6AT1SHSAOiSBhhokOlGe9JialSqLDy6VtOy0QG9KhYfJPlLsIE2XnZ0twcHBMnr0aJVsQ/+7rVu3qvkojQmwjDENBh1SdCiDaZTENNOpUye1/JYtW2TXrl0yf/58GTVqlDLrDNAn8O+//5bffvtNJenM/QB9kZycrIw5AyMp6O1G+/jjj6vSnNdcc43ce++9ahp6+aE/H/r8oaTnG2+84fV7UIK0UaNGfhw9UhaBflHCk+k+EgigPZQ3xo8V2COUBBrqkegAdUh0gDokOkE9Eh2gDkmgoQaJTpQXPe45uVcmb/pKkjKTZP+p/XJj6+sDvUkVGpp9pNhBCUuU7ITZ5+1mlZiYqBJzRv8+wyyB0YfHxo0bpXbt2mo6evWh1CnKcGJdMNvGjh2rDESkBg8cOOBex913363MtvHjx+cy+/IDZUVh2BUEtmvp0qXyyiuv5NknmHhRUVHq9bp163IlFr/55hu1XUgBMvVVfoF+DYOb55mUNtAeksMxMTG50siEBALqkegAdUh0gDokOkE9Eh2gDkmgoQaJTpQHPWbaM+W7dV9J6MkTUrt2XVkZ/5/0a3Ce1I08HawhpQvNPlLsLF682Oe8OXPmyEUXXSRffvmlDBgwQKpVq+Z1ORiCACU7e/furRJ8MNpQxhMpOnweppv5ZojynI899pjqpff777/L4MGDCzT6Dh48KI0bNy5wn1DWE6ZjRESE1/lGOVHMN4w/43OgPESyiW9g8JXVP8yk7AOTGT+EoNFMdIB6JDpAHRIdoA6JTlCPRAeoQxJoqEGiE2Vdjwg+zNz9l1z78TyJOZwiqTfdKC83dcrvu2fKnR1uD/TmVVjKbkaUlDm+/vprGTJkiNxyyy3StWtXlYC7/PLLVZLPE6PvXs2aNeWzzz5TiTkYeTD8UHbzhhtuUDdDzxviiBEjVIoOPQILYvLkyaqPYMeOHf3afl9GHyirN2ZSPBhapA5IIIDuWEKW6AL1SHSAOiQ6QB0SnaAeiQ5QhyTQUINEJ8qyHlOz0uR/6z6Whf9+q4w+EPHtd3LVjiDJyE5XiT8SGGj2kRIFCT2Yat27d1cm3z333COTJk2SBg0ayFtvvaWMvrPOOkuGDRsmu3fvdn8uKyvL/Rrz2rdvr0qD/vjjj3LfffepFBVqG6el5W78CaPvtttuUzfKkydP5pqHdRom4rZt22TcuHFq2fxMPH/BtoAWLVrkMn6wflL+wflHz0lDB4SUJri3xcXF5bpvEhIoqEeiA9Qh0QHqkOgE9Uh0gDokgYYaJDpRlvX4356FEvX3XGm94HR7LdBlwXa5r9M9EmJj9bNAQbOPFDs7d+6Uxx9/XJXrRO+922+/XSX0Fi1aJG+++ab61QKajyKFB9NtwoQJMn36dGndurU8+eST7rrFniCBN3PmTNUDDw1Msf4LL7xQzatatap7uddff12WLFkiVapUyfV5fAbrXbVqlfocPvPiiy/m6c0HYNzkB8qKmo0dvAerV69W5UGNx4cffuhzf0j5oSz/GoeUfaA7lAym/ogOUI9EB6hDogPUIdEJ6pHoAHVIAg01SHSirOoxPj5eGk/8Va7+Z6/ceMTDqIw/hMF1FbY5lXkqUJtYoWHPPlLsNGvWTA4dOqSMs5dfflmuvvpqn33x0Otu1KhRct1118mYMWNUec/8zLGLL77Y/Rr9/pAcfPjhh6Vv3755+uR5gl9KGEnAGjVqqJSgpyFozPdMDHqCfTOMQcNINJKF0dHR7ulGatC8LCl/4A+z0beRkNIG2vPV/5SQ0oZ6JDpAHRIdoA6JTlCPRAeoQxJoqEGiE2VNj8mZyTJt/W/y4ytfynce1fTcOJ3i2LdHPstYLMfSjsnj3R8Vm9VW2ptaobE4jbqGpNBs2rRJlZdEKcp27dp5XcYoTYn+dKR4gXTxKEqvNONzRWXXrl3KMDTMQiQBU1NTpXLlyirhRSoWZ6JFM7xfkDMpI4vyxrz/kEBDPRIdoA6JDlCHRCeoR6ID1CEJNNQg0YmyoEfHwVhxJhwTS3Q1WZN8SJ5b9Kp0m39cHo3Pnej7LcMhl4e69iHksWdlfqswSUg/IZc1GyxhQWEB2vqK4z+ZYRSFlFlgriCtFxwcXGiD5Uwj0kgvmsGNGQ9SMTkTLRJypiAJjTIKMTExvA+RgEM9Eh2gDokOUIdEJ6hHogPUIQk01CDRCd31aN+8QdJHjxRxuFpXtRaRj0Qk2EtXuBmZThkSYROr3S7OvbvlwgEPBGCLCdDTNibED2Cq4GZIc4UEGmqRBBKYzPXr11fPhAQa6pHoAHVIdIA6JDpBPRIdoA5JoKEGiU7orsesH6e4jT6D6iJSWRzq9R8ZDvnZGi5/NGguO+wi6dVqqOmOvbtOr8ORJQsPLBKH0/UZUvLQ7CNlFqNkIs0+EmioRRJo/aHWO++FRAeoR6ID1CHRAeqQ6AT1SHSAOiSBhhokFV2P2Yvni33T+oKXizsoWYvnq9eHw63ycoZDpoVXEUe/i8TasbPsrVJdvkh3yrr2XWRjA1f1u1NVq+eYfXvc65kXO19+2TlNPZPSgWYfKfOlE9l2kgQaapEEuvTD4cOH1TMhgYZ6JDpAHRIdoA6JTlCPRAeoQxJoqEFSkfVoX7VcMp57TNIfuVccx47mu+zGN18Rq9OpXr9dt6qkdusjF302RSo9/aKET5goznGvi71qNRk0aJCEhbl68p2sXFU9O4/EizMlWb3uV7+v1AyvITN2/yGvr3xLDpw6WOL7WdGh2UcIIYSUcXRt5kwqJtQj0QHqkOgAdUh0gnokOkAdkkBDDZKKqsfs5YtdL7KyxLFudb7Lhm9ep57314qUdybOkLfffltq1arlnt++fXuZNWuWXHjhhRIeHq6mHY+q7J7v2OdK9wXbguWODiOkR53ucjTlsHy1+WvJtGeWxO6RHDg6SMosiDmjrjFL15FAQy2SQIKyDzVr1lTPhAQa6pHoAHVIdIA6JDpBPRIdoA5JoKEGSUXVo91ul1NLFp1+v3GdTN/1uxxPS8iz7MHNm6R+lsuQC+91ntistnzXbZh9R8Mj3dMce3e7X9eKqCnXxlWTZ95cJu1mrZb1xzYUyz4R79DsI2W6dKLD4WAZTxJwqEUSaP1lZmbyXki0gHokOkAdEh2gDolOUI9EB6hDEmioQVIR9Yj1v/n88xIad8A9zb5xrSw5tFR+3P6Te5lsR7YkZ6bI7Glvu5drcO7gAtdvmH3HgoJFgkPymH0g46WnxZaeIRfO3ydda3Yutn0jeaHZR8osOvVJg+lIKu5x10mLpOIB7R06dEg9ExJoqEeiA9Qh0QHqkOgE9Uh0gDokgYYaJBVRj7/++qsc/GemWC0W9zTn3t1yXb1LZGibG9X7FfEr5dEFT8gzS56TKrEuo85hCxJr2w5+m32p6Rlibdg4j9nnOVbq2LOzmPaMeINmHymz6FQ68Y477pBJkyYFejMqHMOHD5evvvoq0JuhlRZJxQPai4mJUc+EBBrqkegAdUh0gDokOkE9Eh2gDkmgoQZJRdPjhg0b5PXXX5cuwR7jlU6ndDxqlcohrj571cOrS9daXaR9lXbSaneKmmZt10EsIaEFfkdYWJh6TktLE0uTpq7V7zMl+xJzlwp1rF9zxvtFfEOzj5RZYKygkWmgDZa33npL/v77bxk4cGBAt6Oimn333nuvLF26NKDboYsWScUEugsJCaH+iBZQj0QHqEOiA9Qh0QnqkegAdUgCDTVIKpIeExIS5PHHH5fq9my5ItxlKO6pYhNnzvc51q5yL9s8upnc3PYmabQjQhraXdOCu3T363vMZp+1UY7Zd/yYOJNOqtdH/1uZa3n7utXFsXvEBzT7SIkxdepUdcP68ssv88zDdOOBRqRNmjSRu+++W+Li4ryuC8vdf//9uaYhBty4cWM175NPPnFP//jjj9U0zPNkyJAhEhERIenp6cWyjzt37pRnnnlGRaLr1aunphnbZBhA9evXl5tuukl27Njh/py/23306FG57bbbpE6dOhIZGSkDBgyQLVu2uOfPmzcv17E0P26++eYi7VNqaqp06tRJJk+enGv63r17fX4XHs8//7xaLr9lbr311kJty8yZM+W8885T5wzH94knnpCMjAz3fByPcePGye233x7QEoYs40kCSXZ2trpX4JmQQEM9Eh2gDokOUIdEJ6hHogPUIQk01CCpKHq02+1qDPXIkSPyTJ1oCXa4HLyPm9eQ+JoN1ev0Za7ghMPplH/2ZMvcfdmyfeFa9zpW1eokSRmuEpyJ6U6ZvSdblh3Mlo1H7bLuiF3+2p0tyw/Z3WU8j2eFyrZKp8e0N6/eqdb52+Tvc21b1trV2rRlKo8EBXoDSPkFaTcwa9YsueWWW/LM79q1q4wePVoZb6tXr5bPPvtMZs+eLRs3bnT/KsBf1q9f7/W1GTQ9nTt3rvqlwcKFC+Wiiy6SM+Xhhx9WBlaPHj1yTW/YsKG89NJL6jthzk2cOFEdj82bN0vt2rX92m4clz59+qjtfeyxx5SZhej1oEGDZNu2berXHwYPPvigdO+e+xcXTZu6fk1RGPAHBudq3bp1eebVrFlTvv766zzTDx48qP6ANGvWTL33tgwMRCTwjGX84YcffpAbb7xRLrzwQnn//fdV9BwpyrVr1yoT0Pjly6hRo5Qx+eGHHyo9EVIR4T+UiE5Qj0QHqEOiA9Qh0QnqkegAdUgCDTVIKoIef//9dzXWfkm1ytIh7ZSaNr9FDVkcc520SI6TEUf2iS12tzgOx0tWjdry/qpMZRDecDJTLZseFCqvn2guH2c7pXKoRfYlOeS9Va55ZqqHW+S+2i6zLz6kvrxzpL68lzPv3/nb5e/4FjI0PXfPPmtykmTt2iGhLVqVyL5XdGj2kRI3+/755x+VfPKMJSPxZk6ftW7dWhk3MAcvu+yyAtdvXp8/Zt/ixYslJSXFvW1navYhhfjnn3/Kvn378syrWrVqrn0799xz5fLLL1cGFow5f7b7l19+ke3bt8uCBQvU50H79u1l8ODBKkl4/fXX51r/Nddc43U7T548mW/qrVKlShIaGipJSUly7bXXyqZNm7wuh2Sht7QgTLxWrVqp9CLwtgxMyipVqqjz6+8fOxip55xzjjpXxrmuW7euMhahkYsvvlhNQzL0qaeekvHjxwfM7DN69hESCHANmH9EQEggoR6JDlCHRAeoQ6IT1CPRAeqQBBpqkFQUPS5fvlwQo3kwwiKSLJIaapPJPa6U9CUnZLPjdA89+8olEjToSrm57gH538RPpHv8CjU9o2VHeeq8KKmBz4tIkypWefacUEnOdEpylhMt/6RulFWsFpHQ4y6zL+L4Zrn1glvFPjVcbBlp0jZ2gRyqGSItTu5S80+KRSLEKftDI6RdVl7jkBQPLONJSoStW7fK/v37VeoNkWT8mqAgLrjgAvXszTzzBgxEA6S+vL02A9MIxtZVV13lNiLPhGnTpknPnj1VM9Wi7lt+2x0bG+s2uMymHkywGjVq+L2dMBmRyvP1+O6779RyMBAR74Yp6i/YHyQyYbTZbDavy5w6dUqZfagTXbmyq/FrQSANicQgSpiaTd0rr7xSPSPdZwYG6J49e5TuAgG0aDwICYT+kMql/ogOUI9EB6hDogPUIdEJ6pHoAHVIAg01SCqCHrG+NWvWyK21giQyOVlN23f1VXJNj6FSY/8/smrdP2Kv5Bqfta9YKj98/528NWaYhG2dJw2cLhOuRs9u0q2uTaw5Y7JI9+F9v0ZBMrh5sAxpEazed6ljc5fxdCYelHMbhUhw4ybqfdjOVTL381ekSc4652TY5dJEu/x74WVia9uhWPeZnIbJPg24f5b3/nFje4dITJRVDiU75OUl3h3vDwa4yl2ujrfL5+vzprfqRFrk6XNC1es/dmbJzN05XTZNdKptlTvOcpWEnLQu0/36TDDMNJSf/Oqrr9R7lO3MD5g7AAaUPxjmCkpdLlq0SJljeI8kG0wxmI2e29SrVy/p27evSs0dOnTIL6POFzDnevfu7dey3vatoO1G3zyAJNvnn3+ujDI83nzzzUJtJ0pfnjhxwuf8du3aqef+/furspnm8qAF8dprr6nSnEgE+uJ///uf2j/Pnov5gZQhqFatWq7pKGkK0MPPTFRUlHTo0EGdEyREA9WzD+m+kmqsS4gvoD3jflaY65eQkoB6JDpAHRIdoA6JTlCPRAeoQxJoqEFSEfSIMejKlhNybZbLRMxq3ky63jpGulmtEjugrwp9bI+oLG1OJUnK8iXy9p9zBUu+0KGFSOxu9Rlbp/zH8M0YrbiMMVtr46bi2LZZmlhFOgaJhOeMk27KFskQUeO3pORgso+UCCiziJ5xbdq0UWYS3nuCfnbHjh1TyT/00BszZowys/wtrwlTBY/OnTu7y2AapTC7dOmSa1kk1tCHDgYbHsY2nmkZzzp16nidhzrH2Dc8/vvvP7njjjtU8g0pOwNjG31tN8pUItk2depUdSyfffZZn6Yd0nPG9xkPo8ErTFb0vfP1MJKD6DNYmD8uiYmJysiFiefL4MJxQC+9ESNG5DHo8qNJkyZitVpl/vz5uaYjfQiMsqZmcC5wTgJZxpNGHwlU6QfoH8+EBBrqkegAdUh0gDokOkE9Eh2gDkmgoQZJRdAjqusNC7ZIkFPEabVKpYefw8Clmodqd2DWAdf4aZg9W1pFhMrnw2+UNjlGn7VDJ7G2dgVDimL2SSNXsi/aapFBIa7vRWfC5dku87Fjx47Ft7MkDxwZ1AAjnecLpPsKWgaxWTzy49LmweqRH8WR6svIyJB58+a5e8jBXJs0aZIypFBG02DmzJm5km4NGjRQibvq1av79T2GsYL0V+PGjZVhhoQVjKLo6Ohcy8LYM1KAZ511ltoOJP1QZrSo4CZmRJU92bhxY659Q9lNGGMwP819/QrabiT6Bg4cKC+//LK88MIL8t5778kXX3zhLmdpcPvtt+fZhqVLl6oyoyUFtg0G5vDhw30u89tvv8mBAwdUX7/CgD920M8HH3ygjE6UQf3333/VcYB5aaQezcBMdP9hKWUM45mQQABj3PjHFSGBhnokOkAdEh2gDolOUI9EB6hDEmioQVIR9Lh29Wq585Rd0FAvqE8/sbVoJSNnpknjKlZ5sncTNaa6av1akWCXj3B7vVrSbNZ014erREvoUy+Ixep/PswYG09Pd1UuPBYeKcbo9oAQ13piIytLUuIJqVWrlnqQkoNmHyl2UJoyNTVVOfVImOEZ0eS5c+fKZZdd5l4OJTDHjRsnq1atUqUqYeQYve38wahpjGck4gzTzDPVB2DswZhCyUmk45AG/Oeff8ThcKiba1GAIXX48GGv8/A9EydOVNFpGIqjRo2Sm266Kc9yBW03QIlMPGCE3nfffXL11VfL7Nmz5fzzz3cvg9SfZ9qtbdu26jkhIUGlKH1RpUoVn6Zlfnz66adyww03qBKa+S2D9CBMzcIyefJktV2PPvqoMpANnnrqKa/Lx8fH+0xaljQ4f0gxQmM0/UhpgxQvSt8iGc10Hwk01CPRAeqQ6AB1SHSCeiQ6QB2SQEMNkvKqR2d2tjg2rpOUOtUlce0KqWx1BRJs3XtJlt0p8SlOaZLjwHXv3l0mrV0rSU6nVLZY5Oyjh1wzLBYJfXKcWGsUzowLDXW1D8PYLcbZNyQli2c9toSmLUUOLmcJz1KAZTxJsWP063vkkUdUuu2ee+7JNd0A82AEYTmk2t5+++1CfY+5gSnSXjDN0LPNszcgloOxBzOmUaNG6nsXLFggx48fV0ZjUcG6tm/f7nUeDDDs2y233CLnnXeefPTRR14Nt/y2G7379uzZ436PqPXixYslMjJS9cozg3rHnuU58cfC+BxKdfp6/PDDD4Xe97Vr18rWrVvd6U1vwOiFKZnfMvkBow+GHxKhOBZIQvbo0SNPqtFg586dqhRpIIDG8AetuJvqEuKv/vCPKuqP6AD1SHSAOiQ6QB0SnaAeiQ5QhyTQUIOkvOox87MPJf2Re0VuuVFeSD7unm7rerYkpDtVT76aES4DEBXv8H6jq/uTm+Cbb5egbj3PKKGIdN+Knbsl22OfWg2/Xfr166fGyUnJwmQfKXZQMhOmy2effeaehkSarx55SEONHj1apd9Q/hMXvz8YiTwkqZCKMxJfeI0Slgbo1YcEHvrmXX/99Wravn371HtsE37RUBRQXhMPpBbRr80XDz/8sOrV9+233+YpG5rfdo8cOVK2bdsmu3e7aiYDlLSEKYjt95e33nrLZ68/gJ6KheX7779X5Vb79+/vc5mff/5Z/cHyZc75C44tvg/78Oabb3pdZsWKFZKcnCznnHOOBAJosTib6RJS2GvE6L1JSKChHokOUIdEB6hDohPUI9EB6pAEGmqQlEc9/vbLL9L7lx8lAmPsdnTHc2Fp2FistWrL0aN29d4w+xAYwTjm+myn9A52TbN27ibBN48o8jYgsAGjD4/1GzbIAYdI45xuY0FXXic1O3eVNzvnDrmQkoHJPlKsoJQikmoDBgzIlTKDKYbkldm4MjNixAiV3JowYUKRy3gaeJbDNBKFMNqM7bnttttUrz/PtGFhOPvss1WPvYKScUOGDJFWrVp5TS7mt924+cLUQ4LOACk39APE+vwF5qBn6s/8KMoflunTp6vP5hczxzLdunVT/QrPhJSUFGVYwjT0LFVq8Mknn8gVV1wRMMMNGjQehARCf0yWEl2gHokOUIdEB6hDohPUI9EB6pAEGmqQlDc9Ivww4/VXJMLuEdNTqb4e6vlIqjOX2YeKcc2bN5c5mU45JRZlCoaNHS8WW447VwSM9lDwBfbu3St/2l2Wk63XuRJy96gir5cUHpp9pFhBUg43qYsuuijXdOO9L3MNN5q7775bfv/9d9mxY4df32U2V9Dcs169elK/fn1VptMMvhMlLWHOGeAXDOh5hyQd6iMXBSQK0Wfw8ccfVyZcfsuNGTNGmaAoa2kmv+1G0hHlQLGdKNv53nvvSd++fSUxMVEee+yxXMsuXLhQpkyZkudREsTFxcmWLVukT58+PpdB2hHb5GsZJC2xfSjPWRBI8yHV9/rrr3udv3LlSvnuu+/kueeek0ABHaJMK80+EghwveFawjMhgYZ6JDpAHRIdoA6JTlCPRAeoQxJoqEFSnvSI9klPP/209MkpNmd3OuWqk3b5KcMhaY2bSfA1N6npR3PMvloRp22gTp06yWGnyJsde0v4J9+IpWr1M9oXo4wnxmjB9lYdJPzHPyV0/BtisbGwZGlCs48UKzDWYG5dcMEFuabDpEI8Ob8k3YMPPqiW8bd3H74HD3OCzTMdh1QY+tzh+z1TaDAg0Qx1zpw5UlRuvPFGadu2rQwfPlz9GsMXmA9jz1ty0dt2A5iA//77r1r/+PHjZdy4cSr9uGjRojzlKmEEDhs2LM+jJDCOV34lMwsqqwmzENuH5fLjyJEjyux74IEH1K9OPDl69KjccMMNMnbsWNX3MVBAh9CXWY+ElBbQHu4vZ9rQmZDigHokOkAdEh2gDolOUI9EB6hDEmioQVIe9Og8lSSZs/6QlSNvlRcyE+XKUFcib2vtUDkRaZUP0pxS+aPJYq3tquR2SdMgebVfqNSvZMlVhQ6hk0uHDBFLMYwlGWbf8uXL1XPHjh3FWq06x0kDgMXJKEqR2bRpk7Rv316VVfTV98woW4lea6R8kpCQIL169ZJ7771XpfFI6YHSnijdiZ5+5cFo4/2CEEIIIYQQQgghhBDiidPhkLQRN4gzdl+eebMvO0s2JjeS5s2ay/XXX1+qB2/kyJGyatUqNUaLymcIu5x33nmlug0V2X8ywxgAKbPAp7bb7WKz2QJq9KD3H8qXVq9+ZpFnUniQ+kMCMtBGny5aJBUTaA+lhCtVqqQ0SAj1SCo6vC8SHaAOiU5Qj0QHqEMSaKhBUpb1iHKfj95+m7wU5zL6Mp1OyW7YRBxtm8uMyANS/5Kr5Kmml+T53L6TDqkaZpHKoSU3Xmn07IPRBzp06FBi30Xyh2U8SZlFp8a6jRo1Uv31SOnSrFkzd1Q8kOikRVLxgPZQsji/UsKElBbUI9EB6pDoAHVIdIJ6JDpAHZJAQw2SsqzHPXv2SNL2re73C/sMkJCJn8jX/WvIprY1pVPtTnk+g3HKR+aky4QVLhOupM0+0LBhQ9WGigQGJvtImcVqtap4MCGBhlokgQS9TpFwJUQHqEeiA9Qh0QHqkOgE9Uh0gDokgYYaJGVZjwcOHJD6ttPpvE43DpEJq96VpMwkuaTxAKkTWSfPZ05limTYRWpGWErN7EO/PhI4aPYRQgghhBBCCCGEEEIIIYRoCMy+ejk1Gp1Wq3wU94vYbRYZ1maodKnd2etnjqa6KpCVtNlnrrpGsy+wsIwnKbMg5pyRkcHSdSTgUIskkKAm+r59+9y10QkJJNQj0QHqkOgAdUh0gnokOkAdkkBDDZKyrMfY2Fi32ZdQJURCQiPk/k73+jT6wNFUR6mbfWeddVaJfhfJH5p9pMxisVgkKChIPRNCLZKKCu6D1atXV8+EBBrqkegAdUh0gDokOkE9Eh2gDkmgoQZJWdajy+xzjYGfrBYpY7qOkkaVG+b7mSOllOwzynhGRkZKkyZNSvS7SP5wZJCUWWDy2Wy2QG8GIdQiCXjPyKioKJ4FogXUI9EB6pDoAHVIdIJ6JDpAHZJAQw2SsqzH2P37JSZnGLxS49YSHRpd4GeSM0UspWj2oYQn9osEDh59UmZxOp1it9vVMyHUIqmo4D6YlJSkngkJNNQj0QHqkOgAdUh0gnokOkAdkkBDDZKyqkeU+sw4dlSicqrb1WvR3a/vuKldsPx8ZXiJm30w+SpXriwDBw4s0e8hBUOzj5RZaPYRXaAWSaB7Rp48eZL9S4kWUI9EB6hDogPUIdEJ6pHoAHVIAg01SMqqHg8ePCj1LKfDLpaYen5/T7DNIlZLyZt9//77rwwaNKhEv4cUDMt4kjILYsEhISEl/j246TKCzGOqgxYJ8UZwcLA0aNCAB4doAfVIdIA6JDpAHRKdoB6JDlCHJNBQg6Ss6hH9+tpHB4nYXYaftZ5/n/t7d7Y0qGyRtjVspdJuiwQeJvsIyYdDhw5Jly5dJD4+nsepmNiwYYP07t1bkpOTeUwJIYQQQgghhBBCCCHEB1s2b5aBWa4EoKNOXbE0aFTgscqwO+XD1Znyx85sHtcKhFX30ngwBQYPHpxreqNGjZRbbH5MmjTJPf/48eNyww03SJUqVaRdu3Yyb968PEmtZ555RurUqSP16tWT9957r9T2iRQfOI+oWexP3LkopKeny+WXXy6dOnVSWiHFQ+vWrSUyMlKGDh1abvotlrQWCcmPrKws9SsvPBMSaKhHogPUIdEB6pDoBPVIdIA6JIGGGiRlUY8Ya9w6/VdpYnUl50IvvVIs1oItnWOprjHXku7XR/RCa7Pv448/llWrVsk777zjnnbs2DHZv3+//P7777Jy5Ur344orrnAvc9VVV8mSJUtk8uTJcvvtt8uQIUNkz5497vnPP/+8vPHGG/LUU0/J+++/Ly+88IL88MMPpb5/5ZG9e/cq8/XNN98scNmpU6dK586dJTw8XBm4L7/8cq75noau+YFzi+fQ0FCx2Wwya9Ys9+eefPJJNa9fv35ntC+vv/66MqM++eQT9R6msXkbwsLCpG3btvLaa69JRkZGrmWwTWlpae519erVS02H9gyw7DnnnCNRUVFSt25defjhh3Pd4G+99Vaf+z979my/9yO/9XiLWG/ZskU1VcW5LAqJiYkyevRoFUXHMerbt6+6Hs0xdZz71atXy5QpU6Q8YJxzRtZJoMrI4sctLDdMdIB6JDpAHRIdoA6JTlCPRAeoQxJoqEGiux4d+3aLY9+eXOGI6Yumy8VBSa43NpsEXZw7FFWQ2VcrUmv7h1SUnn2HDx9Wpg0MkObNm7unwyCAOYKGj94G1mH6LFiwQJYvXy49evRQ09atW6fMpw8//FCSkpKU0Td+/Hh54IEH3OYE3l9//fWluIcVm88//1xGjBghw4YNk7vvvlv++usvZb7WqFFD7rrrLrXM119/rZ5R7vGee+6RK6+8Uhm5AIlP8/lfv369DBgwwP36TEHjU5h9MNU8e7HdfPPNcvHFF6smqtDbE088oUpTmo0r/Opi06ZN0q1bN3WD3rhxY651/PPPP3LJJZfIwIED5a233lJ6nTBhgjIvzaYn3ptTqwbt27f3e19GjhwpF154YZ7pMLphnps5cuSIMs5PnTolRQGm5/nnny+7du2SRx99VKpXry4TJ06U/v37y99//+02YKOjo9U1+dBDD8nVV18tERERUh7MPkICAbQHg54QHaAeiQ5Qh0QHqEOiE9Qj0QHqkAQaapAEEqfdLhbT2KGnHu1bN0v6A7ej1KFY6tYTW+/zJO6sZnLo70/lllRXJTFb3wvFWq26X993NMfsqxHOZF9FQluzD8kglPqDAWQGST/0UPOVoPn333+VOWgYfQDmBYxDsHjxYlWeESUEzfNhPKE/W0xMTIntEznNq6++qkyhr776ym1Ide/eXd5++2232QdTDcCQgtnXsWNH9zRg/pWD2eArDrMPxt25554rPXv2zDOva9eu7u247777lAH53XffKfPMDLYDZt/u3bvz9KeD4dysWTOZPn26+gUH9h8GG0rKImlqGEdBQUG59tkMDMWEhIR89wPmKVKFeJhBTPyOO+7IZSRu3bpVmegoR1lUkLhcs2aNMjMNg/Gmm25SpTtxDS5dutS9LMx1JB2R0r3uuuukLAMt4nzgXDLdR0obaC81NVWZ5kz3kUBDPRIdoA6JDlCHRCeoR6ID1CEJNNQgCQQIRqT99rMEff6R2C4ZLGEPPi7J2Smy5vBaqRVcS1rWaqHGEo8tmi9ROWPdzriDkj31O6k5VeSWnPU4wyMk5C5XcMkfjrCMZ4VEyxwnDLvvv/9elXaECYLkVFxcnDvZB6OiSZMmqvwjTD0khsyJLJhCZpo2barKeNrtdjW/WrVqqlefAd4jNrtz506f24TEE5Ja5oexvLn0orlvF77P3MMLrw2DyjAH8ptnvM9vHp6LOs/4/vzmFWW7/dknnEOUrjTPe+yxx+Syyy7zut0GnvPMxhreo1/jgQMHci1flO3+5Zdf5Jprrskzz9s6YVriGeVlzduERCnee5qPmIb9r1WrlhqYN/YJhib0jvSpeT2+ztO+ffukZs2a+T587S+SrC1atFBGnDEP5UhhbhplSws6h97OE5KQKN95wQUXuOfhVypI9K1duzbP8YZRipKepam9krqesrOz3csUdbvN32H0ATTAfQb3FPM8Y1nMw/d7m4fpxjxMK2iesT2YbtzbPOdhO/K775nnedtu7lPxnif8gAX3PhxrnidqL9D3CEw/evRorlLWvEfwvlfaf5+wDO6L0CH/PvHfEYH6txEe0CEGePhvI/4bNtD/Lsc6UD3JaD/Bf5fz/58C8f+E3v6dyP/P5f+7l4b2jPsetIe/zcb6OcbCcaPS0N6zTz4ppz59TyzZ2eL4fZqkv/+mnEg9Ib/smCZrDq5RupwzZ478+d1k1zZYLbKvYRVxeASdgu+8XxzRVf3+d0SlEKe0qGqVaqGnt43je/Yy+e/yMm/2wfQB+EcATDaknc466yxlrq1YsUKZByh1OG3aNGWYoCcfUkkAFwhKBJpB2U8cLJTr9DbfWAbf54uPPvpIlU40P4w+geZ0FUxJJCxASkqKGoQ1wEkzThKejRP46oo3vD5eW/lmrvfTdv6mTjY+N23ndDXNEMnWhK3y2krjc8ZnXs95nF4X5mFZ4x9arvVOV+vENuE7jHkGxjxju83zfO2TMc98UZjn4Xz++uuvKgFm7BPMNRhOnsL3XKcxz0hQ9enTR/WZw/+4GIYSUnn4TvNNtzD7hLKcKBXqud3G8uZ9goEMqlat6p6HbTJMPqwLBhjMa2OfOnTooPrYIUFo7BNMQ5S2RDrHbPb52m6YeX/++ac6hnj88ccfqhwqXuMZ87ydJxiNX375pUrNwmw0ztPYsWNV6VSkCb2dw/zOhTEPpU1hnpvnASN15HkucIxxfIp6noqivcLuk7cbsrFtZmMOejRSVebtLsw+GaahccyMHzkA3AuN8qq4ryCJbHw/0q8wiQH+GGCesY/4h+yJEyfc3415xj5jOuYb24l5xh82rM8o84rvwTzjfobtwPb4uu/Fx8e75+E1pnGfSu484brD/QX9MHmeqL1A3yNQ+hp/D/FvLt4jeC8P1N8n6BD3RSzHv0/8d0Sg/m2Ef9NBh1g3/23Ef8MG+t/luC/iYXwf/1+D//8UiP8nhAYxjmFuJ8L/z+X/u5eG9oz7HtaJv83QIrVH7ZWG9vB5x5L5Uu30MK84ZkyVSt/+JPd3uVf6Nu2r/Igpv30jMTWD1fzsGjWkxad/yD833SUvpjjk1RS7HHnseUk8u0+h/h1xUQOHvHVBmNjTTnF8L7Vsj1kWBovT7CpoAMp0ovQhjDSkqzCAvnfvXjUNfdLQBwypPiTxAP4nqmXLlqqfG3qfIakE486cTkL/MJT2hMkBAwSGyvbt23N9L8yYV155xWfJRJxgTzMQ5iO2E2ULO3XqpKbhBMEswaA/ThoShXiNdKFhCOBhJHgwD4abCE6D2bE3v3e9bl2tpVzezJV8+23XDNl2Yrs83v0RtcS2E9tk2s4ZXtZjxjXviuZDpFXVVmo9r//3lrSqivUOUdv1267p7u8wjAtf2+1tHvYX5SlRpnLMmDF5Pme8X7lypSoZCRHD5EJ6E2UfjWWB8RrHvXbt2vLcc8+ph3ketgO9F1FCE6bR3Llz5dlnn5XLL79c6Qbv/dlu8zxceDCsYOLCGDbmzZs3T/WeQ5lN9BnEuZ4/f74qO4o06cKFC9V77A+2CelU/Hry2muvVTqFEXnrrbeqfcBxwv7iGdqGwQ2zU52lnON02223yc8//6zKgJoTgBjQx0BqYfbJPA+mHsw+HB+sy/NzOGZI5mHbGjZs6PMcep4nPFDWFP0Yca3hH/GYh5sYUoTnnXeeMujN24br/aKLLlLLFPY8FXae8T6/ed72yd95xvfnN6+g7ca9CuAaMoxAo2ck/jBgOZR4Nebh/GE9mIdn3Hs85xnmIeYZBmZ+84z7l5FUxLKe84zUMuZ5u++Z53nbbu4TzxO1x+uJ9wjey/n3iX9z+e8I/tuI/4blv8v5/xr8/yf+fy7/353jERxjKc/jRp9/9pmc9cvn0i7bKSkhQRJVraY4412GEkpy2q65SfYn7pdHf3tCxv4ZKy1PZEtcrRh5zhIh27ZtU9uA8XOMReuyT+XxPNk03icEnBA627hxo7Rr186H52O2fzTj22+/xYi6c/HixbmmDx061NmmTRuvn7n++uud559/vno9atQo58CBA3PNX758uVpnQkKC89dff3VGRETkWQem/fLLL4Xa1o0bN6r14tkXu3btUo+Kwp49e9QxeeONNwpc9uDBg8777rvPGR4erj4zZMgQ58mTJ/Msd/ToUTX/ueeeyzXdbrer6RMnTnSGhIQo7dx5553O/v37O2+55RZn3759i7QPcXFxar1paWm5ps+dO1dN93z06tXLuW/fvlzLTJ48WT0fOnTI2aJFC+e4ceOcjRo1yrUPJ06ccI4dO9YZHR2tlu3Zs6c6JgbYB2/f16pVK2dRSU9Pd9asWdM5fvx4n8sY+4BzWVjWrFmjzgWOybJly5yLFi1ynnvuuWp9M2bMyLP8li1bnGFhYc6yDrSYkZGhns+Eina/IMVDZmam88CBA+qZkEBDPRIdoA6JDlCHRCeoR6ID1CEJNNQgKQyOxERn5s/fOrPmzXY6HA739GOpx52rDq9xZtuz8/08xgg/ufR8Z/IFPdRj2jWXOu0H9jtTrh3onnZkyhdqPPHK4Vc6913omvZjn27Orl27OgcNGuT8559/cn23v9gdDueE5enO2XuyeNLLOP74T2a0K+MZGRmpnpGEM4P+fHA0UaLQE6SCjFgjykOi1Ke5NB/SQ/g8UlqYj1gmev8ZwCHFtJiYmBLcM+IJjvcHH3yg0kzDhw+XGTNmqESev2FTo4wnHHc43CibiUeXLl3O6GAjkQZHHak8b6C3HnR44403Knf/u+++Uwk4M507d1bbt2zZMrV/3rYJenzppZdUgu7hhx+W5cuXq1SgOaIbFhbmLtNpPL744gs1D79GQNw4v4cnSNYhTXn77bdLSYCEK84j0pjo/4dypkg8Yvqll16aZ3lsY506daSsY5TwNDRJSGkC7eFvp5EQJSSQUI9EB6hDogPUIdEJ6pHoAHVIAg01SPwle/F8SR16uWT+7x3JeGGsejiTT8mJ9BPyyooP5N1VX8vLK16Xg8mu1k5m7Js3SMavP8qiDybKDenJalqc1SKfHksWS0x9CXv1PZFKldX08MkTxTF/thzddlCq5wyHH7Pa5I477lDV3owqeAZJGU5Jy8o9bu5tHP1khsjc/XbZnlD4nm+kbHO6OZcmoKQhRLxu3Tq3CQBTA4YBDECU8kRssW3btmoejBLMQ/lAgP59KLH46aefyr333quimhMnTlRlCbFelACF8fLqq6/Kjz/+qD7z7rvvqrKIXbt2DeCeVxxgrO7fv1/q1asnlSpVkrp166qykii/it6IMMh69epV4HqMmx2ece6gmU2bNsmoUaPk77//LvL2wcCrX7++KvVq9Nkzg7KxuNk2btxYfvjhB9VTEiVkzaCvJErHwghEnNesLRjRMADRbxLlQmH6obQsSpWinCd6GcJINLYF3+UNlMqEnvPD84aP7cGxxbEvKQYMGCA7duxQfcRwXBA1R49Nb0YYlvM0SssiRnSbkECA+4S3XrSEBALqkegAdUh0gDokOkE9Eh2gDkmgoQaJP2AcN/HziRKenuaeZl8wRw6uWytTLmsj2yuLOB1dZLtzvUzf9YeM7HCHPP5vsqQ6giXMniFjPxwlYRkpYowEZwZZ5YnG18iukNoybs4JSZL6EnbJqzJm2sMSnpUm2RNekXrVm4tk7FTLZ1w0RtbWHyJr54vUjsyQceeGqun/7s2W91dlSpBFpGlVq6RkOiUxXWREp2A5v5FrTPL2P9IkOdMpjpzh4JoRDCVUNKw6pr3QN+/OO+9UxsTs2bPluuuuk3379snbb7+tjA/0yfvwww/lnXfekX79+qlEw+jRo9Xna9SoIc8884wyfPC5Hj16KAMIfdwMYKzAUEH/NdS9/fjjj9VnOFhfOqC3Xps2bdQ5MIPedgDn2h8MIwvPMHBnzpwpycnJZ5zsAwMHDlQpuPyAmYck4qRJk9xNOc1gO3766SdlWsPQNEAvQOw/Uo1nsv9Yr2fqz/NhBubbX3/95e4NWNKgxjCMdqQVcTy9AQ3gGizrQIP4UYJmLVBJBfqHKH5EgWdCAg31SHSAOiQ6QB0SnaAeiQ5QhyTQUIPEH54f+6QE7d2lXs+qf45sb9lJva56MkHunbJErlseIedHXyx1w2+RW9reLE+Oe0X++Ge+qjwYs2+9MvrMWEY9LifrNJXsGm1kwf4sOZHuFGnVTpZd85hrflam9E094F4+qn49qRVpkRCbRRymccbV8XbpWscmrapb5eAp1/TG0RaJCj5t6DWsbJW2NWzq0aKqVS1PKhZaRlE+++wzGT9+vDz11FMSFxcnLVq0kN9++02l+WAAPvDAA/Lkk08qMwHm34svvigNGjRwf/7pp59W72HiwfybP3++dO/e3T0fJt+CBQtk3Lhx6kKEWTNixIgA7W3FA0YXfk0D4wnlOw2WLFminlu1alUksw8gHYjk3Zly/fXXK7MYibQqVar4XO6RRx5RhhU0NGbMmFzzsE1I/nmaj0jwoVQo0ocwmY3EW2H3HyU+faX+vIHvy8jI8Gm8FTf/+9//1PXlmXo02L17t8ydO1fef/99KetAg+ZmrISUJtDekSNH1I9ljEbChAQK6pHoAHVIdIA6JDpBPRIdoA5JoKEGSUFgHDNu/lwJjnSN7S1t6JQfuofL1U2ay8X/7hFbtl2u/O8fkU2LJeG59yUsKFx2b14rEXt+lbjlkXLDpee715VqFdnSqZucN/AKuXTbO/LVT+/L4OuvljG3uaoTZrTqJNnfuZbt6USK0PWdt1/YQKz1w/Js26M9XQm//Hg+JwVIKi5amn0YMEfpPzw8qV69unz77bcFruOWW25RD1+glCHMJlIyoLSqt6Tk1VdfrYxYJDFhAiENhRKrmzdvViU8UaYV/e78wVzGs2PHjur70BuuOMwWGMIw6WAc52dG9e7dW2kJpTyRJjVjmHzekoZImsK0xv5eddVVcuDAAVVOFr0HBw8enOsfIlOmTMnz+WbNmvlV6tTMv//+q8zv1q1bS1FBWhCGoXkbvZGYmKiMUlyDOCfewPHCfOxLWQeao8lCAvk3E+VwaTQTHaAeiQ5Qh0QHqEOiE9Qj0QHqkAQaapAUBKrGtbciXOIaW97VKFkkqY40HnSzJPVIksqTPxZb7F6RtFSptfhPsXRtJ6eapkh05+qS+MtxOTb7H0GTlZ1Wq4xIyJKf7nlErefcc89V47s/fTdFLr/0EjUWGly7jmRHVRJJPiUtUZszB0vNWjxRpHyZfaTsM336dPXwBGYWzD70TET51cmTJ6tymeiNh351SHP6i9nsQ8oNyc/iKOFpAAMPiVCUioVJmV+6D/OnTp2q+vD5Y/bdf//9qnwASnnC9EIiBylHpFTxjw8DGGvDhg3L83mYZIU1++bMmaPMyTPhpZdekmPHjhVo9sHoQ79MLO8NGL0rV65U5788QJOFBFp/1CDRBeqR6AB1SHSAOiQ6QT0SHaAOSaChBklBVbtmzJghd+cYbylVa8iupAvEsnqL3PP23e7lvqhbRZqmJYt93Sr1mfSUdAmuESKdWjaXJod3Q2iyMjVbjfU2btxYfaZr164q7PHLL7+oKm9ffvmlGv+1Nmoijk3rT29EdFWxhOZN9RHiLxYnm0wVGfQChHm1ceNGadeunc9ShaBp06ZF/yLiFZhlSL4h0We1lkz7SRiWQ4cOlR07dqgeeeTMWbNmjZx33nnKfDSX1y3LFJcWeb8gRSErK0uZ8Ejumn8sQEggoB6JDlCHRAeoQ6IT1CPRAeqQBBpqkOTH4cOHZfCll8qfVWwSYRFJP3+wXBJ1k0THzpHqsf+qUENsbKzcEipyW5hr7C/7sx/kgquvkUpVKsnURx+W0DddVQofTbZLoyuvlccff9y9/tTUVLnxxhvl4MGDctttt8ldd90lya+Nk5B5/7iXsbbrKOHvfsoTRQrlP5kpGYeEkFL6RQ6MlZJMtFx22WWydOlSGn3FCMq0Llu2rNwYfaWlRULy019oaCj1R7SAeiQ6QB0SHaAOiU5Qj0QHqEMSaKhBkh/x8fFSwyLK6AMnG9aTlo1j5N47bpXvv/9epfJatWolq7NQ5tNF6vIl6rlqlaoSuXuHep3tFNmQLdKnT59c64+IiJDx48er8UMk+zZs2CBJVarlWibovNM9/wgpCjT7SJn+I40kVUkbLHDPSfHizy8RyhKlpUVCvAHtVatWzWufVEJKG+qR6AB1SHSAOiQ6QT0SHaAOSaChBkl+HDlyROqYnJK/0xfJy/2OyJWtTldQQgupLXYRu82m3js2rFHP0dHR4lj7n3qd1bS53DVqlNf2S2eddZZq44QKYTD+dmZm5dbo+QN4ksgZQbOPlFlQgRY3R1aiJYGGWiSBBPfB9PR09UxIoKEeiQ5Qh0QHqEOiE9Qj0QHqkAQaapAUZPbVtp7+EX/Tlr2kflT9XMu0adNGYM/FRlZW78M3rlPmSkxUpDh271TTKp9zngwbNsxnm5+RI0dKy5Yt5cCBA/L2z7+cnhEcLJaq1XmSyBlBs4+UaYMF9bZp9pFAQy2SQIJ+kSg3gWdCAg31SHSAOiQ6QB0SnaAeiQ5QhyTQUIOkMMm+Dm1vkr/3OCU+2ZEr2QfmZLpKeYaeOik9gkTaO08n9Gyd829bFBwcrFJ9SJruT0mTtVlOcVqtEvbKuzxB5Iyh2UfKLCiZGBISwtKJJOBQiySQ4B+K9evXV8+EBBrqkegAdUh0gDokOkE9Eh2gDkmgoQZJfhw9elTqGk5JlWjZkRoqE9dkyp6Tp82+Zs2aqbHon+KPizMsTE0bHGqV5qmnXAuEhIq1TcHtoJo3by733HOP0uRYR4iE/fy32Dp15QkiZwwb/JAyC/ujEV2gFkmg9cd+fUQXqEeiA9Qh0QHqkOgE9Uh0gDokgYYaLP9Vt46lHZdKIVESFuQy4grD4cOH3WU84yKdkpyVAdVIqO10aU+MvbRu3VrWr18vh5q1lnqb1kqvIBHnof1qvrX9WWIJCfHr+1DqEy1ZGjZsKEGVXWVBCTlTmOwjZRaWTiS6QC2SQJciwT9KWcaT6AD1SHSAOiQ6QB0SnaAeiQ5QhyTQUIPlD+eJ45L57WTJmPiurNy7UF5e8aq8tPxV2XRsc5GSfUYZz9TqlcXhcJl2obbcy11zzTXqedLuWPUcZLFIcFamel2YdB56SF5xxRVy0UUXFXpbCfEFzT5CCCGkjOOr8TMhgYB6JDpAHRIdoA6JTlCPRAeoQxJoqMHyQ/bShZI67CrJ+vx/kv3zt9Jq+iI5u04PcTjtMmnjF7LjxE6/12U/Ei+DEw9Lg5wUX2hMQ8mwu+aFBp1O9oGLL75YpfHmxR2REw5X7z4DW+duhdoH6pEUNxwdJGU6fo/axiyhWHTwKxJSvFrkMSWlDcpI1KxZk6U8iRZQj0QHqEOiA9Qh0QnqkegAdUgCDTVY9qtqffrppzJmzBj5eOh1kvrMIyLp6e75Qf/8LdfXHSCjujwoobYQmbLlWzmVmdNLz4P9+/fLgw8+KH/++ac4MjIk9fFRMtRUfTO6QavTZp9Hss9ms6kSnBhRXZJlMvtsNrG2bO33/lCPpCSg2UfK9E0exgqeSeE5dOiQdOnSReLj43n4ikmLqNndu3dvSU5O5jElpaq/zMxM3guJFlCPRAeoQ6ID1CHRCeqR6AB1SAINNVi22bRpk3z88cdSZdlCuSl+r8CDQ1e9mU1z+vOlp0vWrz9IrYiack3LqyQpM0m+3fqDOJx5gw4w+ZYsWSLPPvuszLp9qFhj9+aaX61RG6kebpG21a0SEZw72Qf69eunfvC/yGz2hYaJxRbk9/5Qj6QkoNlHyizsk1Z00AD28ssvl06dOkmdOnWkopCSkiK7du2SU6e8/7LnTLXYqlUriYyMlKFDh9J4IaUGtAfzHs+EBBrqkegAdUh0gDokOkE9Eh2gDkmgoQbLNgsWLJDrQi3ySIRVrKisFRoqU1q0l3czHXK0ajW1TNYPX4t9+xbpVrur9KjTXbYmbJV5sQvyrGvvXpe518Ym0jt+f575tjr15JKmQfJq/zBl+nlStWpV6dChg6zKFjmZU8ozZOSDhdof6pGUBDT7SIkxdepU9SuHL7/8Ms88TDceiC03adJE7r77bomLi/O6Lix3//3355kGcwXx6U8++cQ9Hb/ywLzGjRvnWc+QIUMkIiJCmV2FBX8IsN4333zTr33v3LmzhIeHS6NGjeTll1/Os+2+HpMnT861zKxZs9yfe/LJJ9U0/ILkTHj99deVGWUct3nz5uXahrCwMGnbtq289tprkpGRkWsZHO+0tDT3unr16qWmP//88+5pWPacc86RqKgoqVu3rjz88MO5jIhbb73V5/7Pnj27UPsyYcKEfI+j0YQZ8fzq1atL8+bNpUaNGkpPmF4UUlNTlVFqPlco4xkSEqLO/erVq2XKlClFWjchhQXai4mJUc+EBBrqkegAdUh0gDokOkE9Eh2gDkmgoQbLNimz/pT7wl1WhiMqUsLe/FD63HmfpG1Mk7cSM0SsNjhokvHi0+LMzJSrWlwhtSJqyR97/pR9SfvyjPGiaufbjWqLzWKRLIvIS70qy97q4WLtf6FYGjctcHt69uypkoWjkx0S8uQ4CbpkSKH2h3okJYH/2VJCCsnff/+tnmFW3XLLLXnmd+3aVUaPHq2MN5gjn332mTJ6Nm7cqMymgjD36kP5RG+vzaDM3dy5c5VRtXDhQrnoootK5Jx+/vnnMmLECFW/GQbmX3/9JU899ZQymO666y61zNdff62eUe7xnnvukSuvvFKuuuoqNQ1lIM1gfwYMGJDvvhWGgwcPKrMPxxrmlJmbb75ZNZo9efKkOm9PPPGEbNiwIZdxhXKViM5369ZNGYY4X2b++ecfueSSS2TgwIHy1ltvyfLly5UhFxoamsv0xPtJkybl2b727dsXan9WrlwpPXr0kAceeCDXdPNxfPHFF+WLL75Q5iZMum+//VYZma1bt85jIhcEDELoed26de5phsEIoqOjlSH80EMPydVXX63MZUJKEmjP81omJFBQj0QHqEOiA9Qh0QnqkegAdUgCDTVYdjm0fbtcn3RExGqRrKgImXhTa2kXsl8Gtx4kzZo1k6W7dsnsts3lwkN7xHnogNiXLpTQvhfILW1vlrdXvyefb/xShre9WZpFNxX78WMSeWCf3BlmkfCEY2r9f/SoJetDLdLvnkelXT/XGOzMXdkSm+SQOzsF5xqDNujTp48aZ9ztEAm+4JJC7xP1SEoCmn2kxM0+mD8whTxvjPXr11fmkgGMl1GjRimT6bLLLitw/eZeff6YfYsXL1ZlHI1tKymz79VXX5Xzzz9fvvrqK/V+5MiR0r17d3n77bfdZp+x38eOHVNmX8eOHXMdCzP+7FthgHF37rnnql+geDNgje247777lAH53Xffyfvvv59nm2D27d69O09/ujfeeEP9oZ0+fbpYrVa1/yib+d5778kLL7ygkoEAiU5f+wxDMSEhId/9gHlqmH0wVn2tC8YltgkG3PDhw9U0HG/ocsaMGYUy+5KSkuTaa69VZqenFmECYp+g8+uvv14lHX///Xe57rrr/F4/IUUB2jtx4oQqIwENEhJIqEeiA9Qh0QHqkOgE9Uh0gDokgYYaLJts375d1o25TwZZXePK0y5oINK4ifSKOVuNwY0fP16FLV7bvFPOqxkuIVmZkv3XDAnqe4HERMXIja2ul6k7fpGo4Chx2u2Scu+t8l4Y+vi5UoIH61WW5veMlRn1euYau14ZZ5f1R+xyV2fvP65GRTSMNRrjk4WFeiQlAct4khJh69atsn//flWu8ejRoyq5VxAXXHCBet63L3e02h+QPvP22gwMvkqVKikDyzAiS4LY2FhVutLM448/7peB6Q3D4MNg/oEDB854+3755Re55ppr/FoW5wTGm+f3GtvkzXzE/teqVUsZfQYwNPGH19MY9AW0U7NmzXwfAIYgevChZKgvsB0wOKFFM0gWmrfRH3799Vc5cuSIMo4LAqk+HGtCSgNcp4ToAvVIdIA6JDpAHRKdoB6JDlCHJNBQg2WPV155RZoln1SvY+tESnKfnjK6ywNSI9xlsqHF07hx4yRTRBZaXcacfdVycRw9rF53qd1Znu/9rNSOrCXx2/8T2/Gjp1ceEioNnv9Azq7valFkJsPulFBb3kSfGbRZKmyFMjPUIyluaPaREsEw0x577DFlqPhjrqG8JDCMnIIwbsKITScmJiqTCSYRklxIrnnbJvSX69u3ryo9eejQIfc8mEbx8fE+H+YedQWBMpEwhZAcM4C5hrKRhQX7tmXLFvVrD8PE9LZvhQHr8SwVWphzgm0ytgXPDRo0UH0Jzfu/ZMmSXKU/kXTEr12qVKni1/fWqVNHHb/8HkaqD6AsKVJNWD9Kom7bts29Lhi8mIb+iQbYvhUrVqiSpYWhf//+qiypeX/NPfvM/zDAMfZlPBNSnCDNV7t2bab6iBZQj0QHqEOiA9Qh0QnqkegAdUgCDTVY9oAZtnPHdmnkKhImBxpUkWtaXiVhQbnbP2EMrnLlyvLDMZcpKA6H2OfNds8Ptgar59Bdse5pmbYgCX1ynIQ3aeX1uzPtIiElWDyJeiQlAet9BZiMjyaIY+cO0Q1r8xYSeu+YIn8epTibNm0qbdq0kXbt2qn3Y8eOzdNDD2UsUQIRScAxY8aoG7O/5TWNMp6dO3eWRYsWqZSZMa1Lly7K+DNAGgs91vBLD5hVxjYaaS+k/ebPn+/zu9DvDb/W8IcPPvhA9axDnz2YXNhvI7VYWLAf2DeYV9g/9IPDcUUj2aIAIxTGJcw0b6DMKc5JVlaWLFiwQJXvxB9MLI9zZGwTSnsCbBPer127NtcvbmCIobTmu+++q1KNSLl5q2+N7/L8Q4d9RM/GCy+8sMD9WbZsmftz6MuHFCmOPwzdzZs3S7Vq1XItj0TexIkT5YcfflDnvLD9+ho2bFhgSVljP3HM4uLiCrV+QooC9Ge321WJXG/XGSGlCfVIdIA6JDpAHRKdoB6JDlCHJNBQg2UPjOdWzcyQsDCX2xfcuIXUicw7polxQYzboqVQckSURKUmi33NSgm+dqh7mdTUVPnznXflSpTQdDpl9i33yrXn9vf53Rl2kdAck7EkoB5JSUCzL8DA6HOsL7jEZVkiIyND5s2b5y4VCXNt0qRJqm8bUlYGM2fOzJUYQ0IMZQ+rV6/u900RDyS6Gjdu7Db7mjRpogwjMzD2MA/bctZZZ6ntQNLPMPveeustVSbTFzAssV/+gL53MBZffvll+fzzz5VpNWTIEJV0g5lZGBAFDwkJUfuGB4zNM8FIKJpTbmaefvpp9TBAEtIw9gxg7qH/HowsbBN65ZnNPpwLlG1Fn7yPPvpI9bhDf8CpU6dKTExMLmPRM8WJ6L1hKvrD2WefrZrh3nnnne5pl156qfTo0UP1TBw9enSu5Q3TF2YmjBGjz96ZAm1hneZ0X0RERKESoYQUFWgPSWVcX7hfEBJIqEeiA9Qh0QHqkOgE9Uh0gDokgYYaLHsg7NDYVJeweSffYQoELWD2rXNYBM1+7BvWiTM7Wyw5434IUjTIyhAJtsheh0jDZs3z/e6MbKeEBZXcD6qpR1IS0OzTIEFX3rYLSTT8WqJjx44quYVn3MDmzp2bq28dEmNI2q1atUqeeOIJZY4VJgEHU8UwVmBAGWYfXnsCYw/mTrNmzZSpB9MMpSARB0eZURh0BVGYNB0G3ZEwe+qpp9S+wXi6/PLLZc6cOYVK3sA8guFnmH0wKz3TcIUB5hr29/Dhw3lKURq99ZB4g0n5448/KqPPM82GY4d9QKoO/fJwvLG8GZitL730kjz66KMqcTdhwgSVcoQpiNQewPOMGTNyfS4yMlI9I6WElF5+IDmHBKUn3bt3V+YsjrWn2Ydynnj89ttvyoxGb0Vs25nirYwnyr/6SlASUpzAsIbWisO4JuRMoR6JDlCHRAeoQ6IT1CPRAeqQBBpqsOyBsdgmIafH2mLa9vK5rNE7b1lqhpwDgzAtVRzbt8j+8CjZsWOHnEpKkp45Sb2MuvW9jh+b6dswSEJKMNlHPZKSgCODAeZMSmXqitGf75FHHlEP83Sz2QfjCak39EH7+OOP5e2331YpMX8xjBU8w6z75ptv1Husw5zCgwEIYw8GkqfBBaMR5lBxAZMT5UPr1aun0oMwk7788kuJiopSKTcYZEjLFQYjKbhp0yYZNWqUX/0PfQHDs379+rJ9+3avZl/Lli3VOUE6D6UukeBD6tEM0onNmzdXRiDMUrNRClMXBmCtWrVUCU2YfujVh35i6N+IXoY33nije1t8lepE/0UkNPPDXDrTE5iG5p6MnsB4hRZ/+umnYjP7PE1c/EPCV9lPQooTGPiGiU5IoKEeiQ5Qh0QHqEOiE9Qj0QHqkAQaarBsmn3tqgaJpDgkK7qKWCr5rpiGcViMzS09lSZSxeXS2deukmf+nK2qiJ3drKlcYnWN3XW+6lr1o/38uKld/vPPFOqRlASmICwhxQNKZsLkgMFmPGAiYbo3YPoggYXSjyj/6S+G2WOk+dCjDQ/PX2bAKEOS7Y477nBvD8qKGttanGzYsEH1KYSpZQalLMG+ffsKvU7sD0qeJicnF/irE38YOHCgTJs2Ld9lYObBEMNxSkpK8rpNMMqQJoKhaZCQkKD2H6nGM9l/rNesH28PGI0ow4pj49kLcsuWLVKjRg31HiYp0pUwe82g/CuWLQ6gQZQENRuQ0MCgQYOKZf2E5Ae0h2sPz4QEGuqR6AB1SHSAOiQ6QT0SHaAOSaChBssee3bvkq4ZrrG2kCYtCjTPEFA46hRx1K2npmX8t0wZfd2CRF4/fnpM0tq8pQQa6pGUBDT7SLGC0oUoNzlgwACV2jIeMJh27twpu3fv9vq5ESNGKPOlMCkrs7FiNsE8DTEjCQdjyNie2267TSXPziQl5w0YXTAv//rrr1zTlyxZ4u5JV1iM/UE6EKbpmXL99derEp0nT57MdzmkMmH0Gcaot23yPNZI8CGxieNqPj+F3X+klMz68fbAH/GNGzfKq6++qow/A7xHf0jDaEMs/rXXXlPpUQMkP2H0opdgcYB9xTYY+wydo2yt0beSkJIEuoOm80u7ElJaUI9EB6hDogPUIdEJ6pHoAHVIAg01WDZwJieLfdUKyZj4rjy3e4NUyXaNddiaNCvws1WqVFHP6c1bu9a1eaMgn3d96GkLxFGpilhbtcl3PXaHUx6bmy4/bsmSkoJ6JCUBy3iSYgUGCm5WF110Ua7peP/uu+8qEwh94byVXbz77ruVUYPyhy1aFNwzEGYPQEQbZSNROhOvYTaZwXfilx1nn312rs+ihxwSbjC0MN9fFi5c6LU31tVXXy0NGjRQKUWUvkSSDD0IkTZECc+LL75Y9bsrLOh5iO/r1KlTofr9+QJlU2HSPf300/L+++/7XA49FVFyFKU8UT7UH7MPPPvss/LAAw+o/UX/vwMHDqhzj9rZgwcPzvULlilTpuT5PPoq+lvq9Mknn1SG2nnnnSc9evRQxxrnG8cKSU7DYBw2bJjaB6T80M/v22+/Vb0Psa0GS5cuVSVYYYYWFugpJCTE/R7fdcstt6h9IaSkQekJc8KWkEBCPRIdoA6JDlCHRCeoR6ID1CEJNNSgvjjiD0nWN5PFvmmdOGP3wQlT013WnQtbt4LHCtFOCGN7Jxs2lgh8JjtL2thE6uV4fXanSNRn34klHHN9k2kX2XrcIfUrlVxOinokJQHNPlKswGiBIQWTy0zfvn3VTcyX2QcefPBBZZKhdx/MscKU8QTm3nEGKSkpsnjxYmU8eRp0MCB//vlnmTNnjlxxxRV+7+P06dPVwxOYWTD7YFjCvJw8ebIyE9EbD/3qnnrqKSkKSLm1bdu2WEp4GsDAQ6/Cfv36KZMyv3Qf5k+dOlUZqv6Yfffff79KuaGUJ0yvmJgYGT58uLz44ou56mEjiQQTzhOYZP6afdi277//XsaPHy8ffvih6keIYw0jMyLi9B/uTz75RJWW/frrr5XBCGNw/vz5uTSD5B/0UBSzz5yoQjp15cqV6vwTUhpAf3h46x1JSGlDPRIdoA6JDlCHRCeoR6ID1CEJNNSgvpz68A0JWuqqCmZmbbZTjrfpKIOfGCvWRk39MvtAXI06YvwkuluwRerk9OqbXamaXFWteoHrSc/pBBTqav1XIlCPpCSwOFn3q8ggJQSDB6UEkRbyhlG2smnTgm9IpHDAUMrKylIGkpHyI/4Dw3Lo0KEqSYkeeeTMtYh7AQxUGMgwUwsL7xekKKD35KFDh5Sxbk6YEhIIqEeiA9Qh0QHqkOgE9Uh0gDokgYYaLHmcdrtYbLkdsoyP3hbHxnUScuf9YuvcTU2LTzksqw6vlhZVm8mCmfNl0JTPpUqmQw7YnfJvllO2oHRnyzZy5a23qQpl/v6wGWEAjHciBHDBtG/EemC/xDtE6uQMG89q0UGu/F/edkWexCc75K6/0uWqlkFya8eSGWehHklx+U9mmOwjZRbc6JHWY5KlaFx22WWqdCWNvuLTIpKOy5Yt8+vmS0hxAe0heeutvDAhpQ31SHSAOiQ6QB0SnaAeiQ5QhyTQUIMli2PPLkl//AGx1K0nYW/9TyxBQeLYv1eyf/lezU977H7Zd1l/WXxuU9l2coc4nA6Zve9fSTi8RW7MdKhl/g4KF7nyahkzZIg0adKk0Ntg9OxLTEyUI7VipM6B/W6jD3QZeKlf68kwkn1BJVc9iXokJQFHBkmZNlhsHr8WIYUDvwwgxatFGn2ktEGy2Vy2lpBAQj0SHaAOiQ5Qh0QnqEeiA9QhCTTUYMmBwoEZH7wpzoTj6uHYvkVsbTtI9uL57mUsTqc0/m2OZG1cI5abB0jvNpfIqn2rZeva5e5l7n7rHQnp2LnI22GU8Tx58qSsznbKII/5Dbqf7dd6MtDcr4TLeFKPpCSg2UfK9B8Su92uTBam+wi1SCoquA+eOnVKKlWqxB9AkIBDPRIdoA6JDlCHRCeoR6ID1CEJNNRg8XHw4EF599135bbbbpM2bdqIfelCcaxb7Z7v2LZZMho3k91ffyHI52XVqCGOIKuExh+RFrtOSOM3/pTkWhslrO050uBEPRHZI06rTYJbtpGNR+2y+IBdTqQ7pVNtmzicIodTHNKljk3OquVy3/7Zk63mw5OrHAJTziL7kxySFenq1HcsMVn+zWgkl8hyMYJ9DqtNpiVUlSG1nBJss8ihZIcsP2iXEJvr8zaryNFUp0SFWKR3PZvc2yVEWlYrubZR1CMpCWj2kTJt9qFXGn4JQbOPlActYj3UMiks0F5KSopERkbS7CMBh3okOkAdEh2gDolOUI9EB6hDEmioweIDffHmzJkjO3bskO+mTBHHJ+/nmm/fuln+On5SLs5MU+8PdOwvbUbdLRkTXhHn/NkSnHpKqu7dJF0PH5YDIVXVMpbGTcUSFiZ7YrPkj13ZatqSgzn1NEUk2Gpxm33Td2TLviRX6U8zV0a6kn07DhyRLQ2Gy44DS6RVygE17WhUbZm8xSmXtXEtuzfRIV9syMqzjsZVrDKoWZBc0rRkbRPqkZQENPtKGAzcZ2VlcRC/BICxEhJSMk1SCSltLRpJ1eDgYB58UiigmXr18Es4QgIP9Uh0gDokOkAdEp2gHokOUIck0FCDxcf+/fvVc2xsrCx59kk5+4DrvYSEimRmiGPrJtm7YbF7+feko7xjC5YlPfvJlv2n5NY9rsRdnbRj6gGCWrVVz30bBknPejaJDLbIskOu5F2jylYJN7kYj5wdInYHxuNETqQ5JS3bKfUrW+XwDteY2o51yyVq116JrRUhrVJcn4luVE/eOj9MgqyuH+l3qGWTN/qHCtoFZmSLZDmcUj3cIuEl2KfPDPVISgKafSVMVFSUHDt2TOLi4qRWrVqq+SYhhJjJzs6WI0eOKLOvalXXL5oIIYQQQgghhBBCCNGNffv2qecoi0hr9NyziFhi6ktQvwsl69vJ4jwYKx1CXKZZkjVEFjqqy6WDBsqppCQ17TeLyK/RQWJ1unrjAVuXbuq5cig+5/rs+Y28j6M3qnK6vGbjKqen26u5kn0WR7bYkg5KaP9LRebvVtMiG9WXaqaynJVCLNKqegk25SMkANB5KmEwcJ+amqoag+IBs49lJ4sHlvEkZV2Lxudg9oGIiAiafaTQZGZmqh+U1K1bl2lnEnCoR6ID1CHRAeqQ6AT1SHSAOiSBhhosHjCWZST7nmrVRKrEu14Hj7hXLOHh7uV6Z7qMvI1R9cSenaWMvhYtWkiDBg1UCdCN2U7pmOO1WVu2Ftt5F5zxtlWpYnL+RKT+gIEiS+aIZGWKtVFT0QnqkZQENPtKGJh7DRs2lFOnTklSUpK7pCcpHngsSVnWIoxB3CPCw8OlcuXKUqlSJfbsI4UGGqpevTqT40QLqEeiA9Qh0QHqkOgE9Uh0gDokgYYaLB6OHj0q6enp0iq6ivQ6Fqemrc92yuGEJBnSv3Oe5RPb9pY6tWvKJ1OmSKtWreT48ePK7Ps13SEdI63iFIuEPPi4WGy2YjX7MNbWums3kWdfFseWjRJ0yWDRCeqRlAQ0+0oBDOhjIB8PQgghpDhBohQlownRAeqR6AB1SHSAOiQ6QT0SHaAOSaChBosHI9U3MsImltQs9frDNIccfO89iWgXJTWaVZVWu064lz/Wupc0qBwjrVu7Un81atSQDh06yJwNGyTSESqPv/GG2Fq7+vWdKTabTf2QHqGbTp06uX4U3etc10MzqEdSEpwuVEtIGQP9zZCWxDMh1CKpqPBeSHSCeiQ6QB0SHaAOiU5Qj0QHqEMSaKjB4jP72tpEuqaeVO9t/QdI1R69JDUkTT5fPlnm926Sa/modm2ka53cFsRFF12knisPuVLCup4txUl0tKtvX9euXUVnqEdSEjDZR8os6HWGPoiIZeOXG4RQi6Qiwnsh0QnqkegAdUh0gDokOkE9Eh2gDkmgoQaLh3379snQsBzzLjhEQu64V+5IOSLbp++SE4knZM+JGrIkyym9gy1i69lHhnXOW4nohhtukMaNG0u3bt2kuMF6Dx48KL179xadoR5JSUCzj5RZgoODVVNXQgINtUioP0J4PyT6wL/LRAeoQ6IT1CPRAeqQBBpqsHg4tHePDM9xFILOHyAnKofKr7unS+36tWXHN9tkSexiWS0iL182UM594CGfJSxLyox75plnJD4+Xlq2bCk6Qz2SkoBlPAkhhBBCCCGEEEIIIYQQ4hOn0ynWzRskzGJR7zO6dpH/rZsoJzOS5MFz7pdzW/RR09NFpNpV14ulajX5fF2mTNno6u1XGlSrVk3ati2eHoCElDVo9pEyS1ZWlsTGxqpnQqhFUlHhvZDoBPVIdIA6JDpAHRKdoB6JDlCHJNBQg2fO7l27pH16snrttNnk06B1cjw9Qa5rebV0q9tVXn/9dZk4caK8/PLL0r59e7Xc0oN2WX3YXgzfXr6gHklJwDKepMyCyHeVKlXUMyHUIqmo8F5IdIJ6JDpAHRIdoA6JTlCPRAeoQxJoqMEzw3HksFR5eKRcFeoahz3UuIYccCTIZc0GS6+Ynu7lPPvwZTlEgjh0Sz2SUoFmHymz2Gw2qVy5cqA3gxBqkQQU3guJTlCPRAeoQ6ID1CHRCeqR6AB1SAINNVh0Vq1aJZvGPy1Xp7hSfWBX6zrSv0E/9cgPmH3BNPuoR1Iq8FIjZRaHwyHJycnqmRBqkVRUeC8kOkE9Eh2gDokOUIdEJ6hHogPUIQk01GDROH78uDz55JNSK/G4e1rGjbfKJQ98JEOaXlrg57MdTgmyunr8EeqRlCw0+0iZJTs7W/3BwTMh1CKpqPBeSHSCeiQ6QB0SHaAOiU5Qj0QHqEMSaKjBohmkzz33nCQkJEiHEJuatjI0SqqNuEcsQUFisRRs4mUz2Uc9klKDZTxJmSUkJEQaNWoU6M0ghFokAYX3QqIT1CPRAeqQ6AB1SHSCeiQ6QB2SQEMNFp5vvvlGli1bJs2qVJJoZ6qa1uCKAfLZhi9kUNNLpG5k3QLXcUXLYImJYrKPeiSlAZN9hBBCCCGEEEIIIYQQQghRbN68WT744AP1+ulrr3YflWPNasmm45sl2Brs15Ea1j5YLmjMvBEhpQHNPlJmycrKkoMHD6pnQqhFUlHhvZDoBPVIdIA6JDpAHRKdoB6JDlCHJNBQg/6TmpoqY8eOFbvdLjfccIO0FLtrhs0mPc65UV48Z7zUCK9RUqeqQkA9kpKAZh8ps1itVomMjFTPhFCLpKLCeyHRCeqR6AB1SHSAOiQ6QT0SHaAOSaChBv3n559/lgMHDkjLli3lgZuHSvbfv7uOYYvWYgkNk4jgcL/Wk5zplFH/pMtPWxnUoB5JaUCXhJRZbDabREdHq2dCqEVSUeG9kOgE9Uh0gDokOkAdEp2gHokOUIck0FCD/vPff/+p5+HDh4vzk/dETiWp97sv7iX/7p8jWXb/zLtMu8iekw5JSHMW6ZyVZ6hHUhLQ7CNlFofDoWLleCaEWiQVFd4LiU5Qj0QHqEOiA9Qh0QnqkegAdUgCDTXo/3Fat26det09O13sC+ao17a+F8qM2okyL3aB2Kz+BS+yHS6TL5gOBPVISgVeaqTMkp2dLUeOHFHPhFCLpKLCeyHRCeqR6AB1SHSAOiQ6QT0SHaAOT+NMSxVn4okAno2KCTXoHzt27JCUlBRpUbeOhH/5sWtipcqSdddIOZx6WFpVaylWi3+WQlZOPiOIRdmoR1Iq0OwjZZbg4GBp2LCheiaEWiQVFd4LiU5Qj0QHqEOiA9Qh0QnqkegAdehi7aKFcmrEjZJ6w2Cxb94Q4LNSsaAG/WP16tXqeVSlEHGeSFCvQ+59SPZaXaU8m1Zp4vcxz84x+4KtlsKernIP9UhKApp9pMxisVhUc108E0ItkooK74VEJ6hHogPUIdEB6pDoBPVIdIA6FFmxYoVseHKM2I7EI2YmWz58WrYc3xroU1NhoAb9Y82aNdItSKTDkYPqva17Lwm6cKDsSdqj3jep0rjQZl8QHQjqkZQKvNRImSUrK0vi4uLUMyHUIqmo8F5IdIJ6JDpAHRIdoA6JTlCPRAcqug6dTqdMn/CmXB5y+gfr9Xcelj82/Ch2hz2g21ZRqOga9JetW7fKdaE5lkF4hISMflwZpXtO7pXwoHCpHVHb73XVjLDIQ91DpHtd1vH0hHokJUFQiayVkFIAf2hCQ0OZ7CMBh1ok1B8hvB8SfeDfZaID1CHRCeqR6EAgdQijzdiGQHDixAn5ZuL/5JbDe8VmO70NwXan3JHYXGxWGiGlAe+FBZOeni7xcXHStrLL7As6r79Ya9eVLEeWxJ46IC2qtvC7Xx+oHGqR/o1oP1CPpLTg1UbKLEFBQVKtWrVAbwYh1CIJKLwXEp2gHokOUIdEB6hDohPUI6nIOnTa7ZL+6P3i2L1Dgi64RIIvv0asDf0vQ3gmHNm1U1Z8+K6ErlkpN1kdEppj9E1pFyFDtmdJlawsCV2yVOSKm2T7iR3KRGke3axUtq0iwnthwezfv19iLE6plONJW1u1U887T+wSu9MuTSqXzrVTEaAeSUlAs4+UWRwOh2RmZkpISIjq3UcItUgqIrwXEp2gHokOUIdEB6hDohPUI6moOkxKSpLnhw+VF5KPqPfZv/2kHtauPST46pskqEevYv/O1atXS/aSBVJ5/j8Sk3BM+sM0UcE9l3uyvnV1+SE8Q6qkZsuQYBHHpnWSkZ4iX2/+RqWnHuv+sFQL4w/bSwLeCwtm79690tqUPrW2biupWany4/afJdgaLJ1qnVWoY74yzi6vLMmQB7qFMOFHPZJSgGYfKbNkZ2dLfHy8xMTEqH8sEkItkooI74VEJ6hHogPUIdEB6pDoBPVIKqoOly1bJtFH4kUicpuLjlUrJGPVCrG89p7Yup5dbN938OBBeXjkSJlW2SJBKBma45nYI6Mk5Jy+8nZopuxslSpBs8JkaZ0UGXJ8mUhGhgTt3Cl3dxwph5JD5e/dlaRR5WwJDbLItO1Zck3rYDmrlk0Opzhk2UG7bEtwSLNoq3SPscnaw3ZpX9MmTaNd+7cq3i5JGU5JznRKeJBFWla3yn9xdjmnvk1qR1pl5q5syXY4pUaERWqEWyUyRGRvokNqRlilRTXXOpYdzJbmVa1Sw+OYlQd4L/TP7GtjuAXBIWJt0lx+3vGDJGYkynUtr5FaETULdcyz7E7JdoqY/ENCPZIShGYfKbMEBwdL/fr1xWZjbXNCLZKKC++FRCeoR6ID1CHRAeqQ6AT1SCqqDtesWSNtcr4uPShYqn4yRbJ++1ml+4B9+9ZiNft2794tDa1OCcrpabaqxXmyr89VcsVVbeSfQ0tkzebZkpbaVg7XO0eSIuJEYPZhO9atlqgWt8oLi9Ngj+Ra54Amrn6Dm4855LP1rnmLDtjly42u1/d0trjNvteXZUhadu5tqh5ukSHNXcO/iRlO+W5z7vWDq1sFSYtqLgP2zeWZ0ru+Tcb0CJXyBu+FBXNox3YZFeJy5qzNWoglOFj6N+grlUMqS8+6hb9W7C75SlD5847PGOqRlAQ0+0iZbqyL+saEBBpqkVB/hPB+SPSBf5eJDlCHRCeoR2LgzMoS+5r/xNqgkVjrxpR7HcLsuzTIZVxszMiWrtVqSNQDj0j2rD9E0lLFefxYsX5fXFycxFhPR5imd79FWrdrKYnZh2VO7BxpVa2GHEi8RNKztsnRlZ/J8eg6Uj0xXpl9odffKle1TJGQ4O1yLLmjHE8PkWHtg1XKDnStY5Pn+oRKi6pWmbUnWw6eckrPejZplZPIA/d1CZFgm0ilEIscSXXKlmMO6VbXJracRWD6ta9plWOpTjma6pSkTKc0rmyVNjVOryPTIZKYLuUS3gvzx7FvjzywZpGEIJWqSni6+vU1qNRAPYpCpt31HGS6Lgj1SEoOOiWkTMfvjx8/LtWrV6fpR6hFUmHhvZDoBPVIdIA6JDpAHRKdoB4rJvad2yX7rxki/S6SoNq1xf7nb5L1+68iJxIkq3KUnPj4I2lSs5VsP7FdokOjpVZErXKlQ/Tri9u1SxpVdhlZm7Ls4vzvP+nXr59YatQUZ+w+cR4/Wqh1Ok8mSsZr48TavJUE3zZSmUd5zb7T72+6KFW6NEBiroHc1+keaVqlierd9/KayTLt+HZJadVFmX3o2xfhzJbGVbfIb7umy10dqkub6q1zrbtyqEUZfgClPb1xXsPcx/X8RrnnR4VYpEPN/JOV1cMskoa6i+UQ3gt9k5GRIZu/+lxayulz/2dMirQ7sV1aVm1Z9GPucD0HM9lHPZJSgWYfKdOUVlNnQgqCWiSBhPojOkE9Eh2gDokOUIdEJ6jHigXKSVZ66RmJiN0rMu1HyRCL2EyD+MFJyTL9zzfF1qGThC5fKcdqREjlFh2kXlSMXN7sMmViwQTccWKXKt1XPbxamdPhunXrpKXNKUagaGu2U1JWrnSZfdVruM2+OfvnitVilezd2yXo71myp3c7qdzqLGlZtYV0qNE+1zqzfvxG7CuWqIet5zlia9shj9nXI8dLS4gMl2RLhnte8+hm7tdVqlRRzweia0hDvMjIEMe2zdKqSQuRXSLbTmzLY/aVFmFBkqcUaHmC90Lv/Pbbb3Ly77+kZZjrGo3/33uyNG6ahCXuPkOzz3XfQeKUUI+k5KHZR8os+CVYzZqFawxLSElALZJAQv0RnaAeiQ5Qh0QHqEOiE9RjxWPsmIfks+R493vD6DtYN0rqxSWr1813npK126fJ6OVJkhkWIu/cFybHoxPkiuaXq/m7EnbJ2g0z5ZyYnmVShzD7WttOJ++22EXiV65Ur5OiQiRKRJLj9smM3X+oaSM/XysNDp2S9hvi5NNhh+VEmxO5zL7Vq1ZJlZ++lTo577Om/eTV7DPKeCZEt5Dz6p/rddsMs29XWKT0zpmGUp512t0qUcFRsitxtwSKiGCLnEgvn8k+3gt9s3fvXmmZ48VnRleTZi3OlpebdRWn6UcCReHcBkHSurpNYqJYxpN6JKUBY1GkzOJ0OiUzM1M9E0ItkooK74VEJ6hHogPUIdEB6pDoBPVYsTh27JhUjj+Ya9pfmQ55PCxKQiZ8LpaGjdW0JpsSpd/KJPU6JD1Txh5tIw91fVC9T0hIkE7fzJPRHyyXiG+/L5M63LRpkzQz0kTVqktaaJhKPB4+elg2i6t8Z8jJZGlWqYmMrHuFMvpAeFqWPPDzXhkS0SXX+v6Y+KHUcZyOvGUv+FccCcfV6wx7hszc85cc65og9UJdpkar9iqz55Xo6Gj1HJ+ZJZYGjdxmHxKVKPV5MPmQpGWnSSBAvz+TR1qu4L3QN/Hx8VIjx6gOq1dfPQdZgyTY6r1krL+g/GyzqlYJDy6nojoDqEdSEtDsI2WWrKwsOXTokHomhFokFRXeC4lOUI9EB6hDogPUIdEJ6rFisXnzZulgcmuevrKD/NGygyyLPyk/fP692Dp1VdNjkhKlUtZp4y17+lSJSsmSnTt3yj3XXSOR8+ep6Zk/fysbdi8pUzp0OBzqODTPOQ62Zi2lc+fO6vWaVWukS5sL1esgh1Nu+2yF1B39ZK7PWxISpNK4FyQudrN8vO5T2XBgo1TdsjH3MtnZMueTR+Tnbb/IU3OelcPffyaT/zgi1eyu+dYYl2GSX7Lv5MmTYjvLZSqib58zK0uaRTdVaaq9J/dJIHj+3FD5dFC4lEd4L8zf7KuZc9vIrFpFft/9pxxOOXLGxzwpwylxyQ7JsjOoQT2S0oBmHymzBAcHS0xMjHomhFokFRXeC4lOUI9EB6hDogPUIdEJ6rFisXHjRmkf5Bq1P1YlXDr06SNjnxgrNptNfv75ZzlUvbaaFyxOaWaOcCWekJTrL5WDdw+XWzKT3ekuS2ambP/+3QKTZo74Q5L5w9fiTDwRcB3GxsZKVkqKNMzZCWvTFtKpeycJqhEkK1askMg6ptTd9q0SlJWpXmZVriLB1w9Tr52HDkjkuHGyN26TLFuxTM7OaYS0r1KwZDR2fb7d8l3yzfyv5NSS1XLlv/slIsfoAwci6xbK7DP69sHsA7tPBq6UZ3mF90LfxMfHSY0cl+B4pEX+3T9Hjqa5ErBnwm87smXkX+lyJJVmH/VISgOafaTMgvIGISEh6pkQapFUVHgvJDpBPRIdoA6JDlCHRCeox4rF7vXrpG2OMVWn5wUyvMPN0rx5cxk6dKgqG/fq7zPFafE+HGhxOKSb2KVvSO5xlp7/xcmRAlI+GRNekaxPP5D08WMDPoaDEp6NbehV6MLavIUcb3RCqlxaTVZu+U8sNbz3DtxTo44E33GfBA1y9S207d0ro9eEyoZZ/0nLnJX9l+SQSle7DMHKpzKk9Y9xcu/8JMk55G7+yTC6+/k2+xITE8Xa8XS5UJTyrBtZV0JtoQHr27cjwSF/7c6WNFPqs7zAe6F30tLSxHHqlITlXJv7g1PFZrFJ8+hmZ3zMjURfMB0I6pGUCrzUSJklOztbjh49qp4JoRZJRYX3QqIT1CPRAeqQ6AB1SHSCeqw42I8elnt2rJOonEF7a6euqu8WuPPOO6Vu3bqyasdO2RMRletzHzZuK485wuS3DIek2gyLTGRTtmugPjopQ44f2ePze52ZGeJYvUK9dqxfLY7dOwOqQ3MJTyPZd0On68S5wyFxOw7JkSx73u1zOmV6ut1lCI16XKxtO6jpEVt3Scq61RKUc0zXpmbKqc7dxR4Zqd7f5xBpnjO6mpHTjzDTFiwpNf0r42mtXiNX3z6rxar69u0/FSvp2RlS2iw5mC0frc6UExnlz+zjvdA7hw8fdpfwBLuDT0mHGu0lLCjszI+5w/UclNMPkFCPpGSh2UfKNKjDTogOUIuE+iOE90OiD/y7THSAOiQ6QT2Wf9atWyez7rlD6lhcJs3OdjFyoufp1Fh4eLg8+uij6vUvRxNzffa3tRtkeVKK/Nf9XKn8yywJffEt+bZZe5meedrwSThx0Od3O7ZvzfU+a/rUgI3hIL24du1aaW54liGhYqnfQBpWaShnhboMvBW7duX6zGupDrk8ySEzt++S9PR0sdhsYmvX0TUz7qB0sJ4+DpuyRQ4cOSrzgiLU+6o5I6tZYpEbkxyyunUn+fCCp8RaqVKBZt+pU6fUMfHs29emWmuxO+2y48QOKW3Cc0rAppV8a8WAUB7vhdlLF0rmV5/K9ll/ScqwKyX9iVHiLISpDrPPKOEJkiqFSs+6ZxfLtmW5zb5iWV25ozzqkQQWXmqkzBIUFCS1a9dWz4RQi6Siwnsh0QnqkegAdUh0gDokOkE9lm+Sk5PllVdekTtHjJC2CYfVtJ11ImXqdWdJtcgauZY999xzpVWrVrLAo0Rj3wED5I477pDXXntNQiOjJKhnH7F37i4pOUk1cPJEnNfvX758uWyf/muuadmzZ4ozLS0gOpw/f75s3bpVWoa4vsfSuImsT9gsiRmJ0r17dzVt3qLFuT6zMsspIVWrqeTX+vXrXZ/LSdtZHQ65MKes6YmQMDnuFPnqq6/kk9h4MQ/TB/fpJ3c89rg0G/+WrGjaV0LN/RA9QP/EqKgoNdCP82fr2DlX37621duotweSD0hpE5HTUjEtJ9VZniiP98KTB2IlY9yTkvXVJKn3+nMicYfE/t8ySVvwj3uZ2FOxsvTQMnE4vRtL8fHxUtOUvLPWqCUtqjYvlu0zkn0s41kx9EgCD80+UmbBr7XwDzE8E0ItkooK74VEJ6hHogPUIdEB6pDoBPVYfpk7d65ce+21MnXqVOkSYpMaOQP2G7rGyCVNLnaX8DRAicobb7xRTjpF5uek9oIuu1pefvllufvuuyU4ODhXEjDVNNySnJi3Z9++ffvkvvvuk31//5l7RnqaMhxKW4cZGRkyYcIE9bpFZLh6ToupLZM3fSXL4la4zb7Fi3ObfVKjpgwaNEi9/Pvvv9WztUFD9+wmOcZdQi1XH7558+ZJvEPkaOPThkjooMvUubCFuhJ/oaeroRa6b1/18OryfK9nZGCTSyRQyb7UcpjsK2/3whMnTshrw24Syc57svZMeVs+Wvex/LTxZ3ln1fvy4/afZeqOX70afp5lPFs276nKyRYH2Y6c+wwdiHKvR6IHtI5JmSUrK0sOHTokMTExqskzIdQiqYjwXkh0gnokOkAdEh2gDolOUI/lk59//lleffVV9bp9+/Yyvm5VkZVLJNtqkeVNW8mNdXuoed9tzpINR+xSK9IitSOtUqnlhZLaPU7GnTokM4Z1l5r9zpfP1mVKWJBFDcyj7B5a2q1xdpCUYPT2cyX0Dh45Jt9sShO7wyZJmSJJGU7Zvd8uTotNOgTDKXDK3MhG0jv9kITas2TrjDmyMPIcaVDZIoObBysd/rbuqCRYq0m6w6aSYzDE8L2da1ulZ70zH6L8+uuv1ThR+2bNJOz4XjXtRA301jsl9aPqSePqjaVGjRpy7Ngx+SzNIiPCrbKqXRd58uobpXHjxvLtt9/K77//LiNGjJC69V3JPjOZTVuIbHSVAG3evLk0ePQpyXz0PtUT0NbVdbxBi6pWqR1pKdDsO3jwoOrb17BhQ7HUbyjOA/vFsWGta36oywwsbcKDym+yr7zdC1etWiVtstNFbHmdtMb7T8qMjavl9+RDcu/qVOmUbJPPr0mTLzJPyYj2t+ZJ9rXIWUVKeJB0qucyxYuDh3qEyAPdaPZVBD0SPaDZR8osiDnXqVOHcWcScKhFQv0Rwvsh0Qf+XSY6QB0SnaAeywco+YiB4fr166tB4s8++0xNR7JuaI0qkvXua+r96kZVJcFysdgsrmhZvSiLzNjhlI3HkOixq2kN+1wjV9Q8JLUGtJO0LKfM2JkmOQEcNyez60h0cKTb7LOkZsn3Ww6JReqq9ypEmJwl9S12iRbXdy2rc7ZYUvdIv7iVUnPjEpm1I13OigmVwc1dOtybHS0LDzhFLLn7iUUEB0mXOk45luaUSiEW9SgsMCy++OIL9frRoTeKvPeKeh0X7Rr6rF+pnko29ujRQ/7880/5KsMplsuvkgcee9y9joEDB8off/whkyZNkmeeeUYyg0MkJCvTPd/Wo7fI9L/U6zFjxkhwq7YSNO1fsVhPmy0wVN+6IKzA7Y2OjlbPSUlJruPZvKXYYfYd2Kfep2alyqoja6RuZB1pHt1MSotq4RZpXd3qTviVJ8rbvRC9KQd6nKflwWFytj0TNwwZMDdZlsYfk/7prjTfLfMT5fg5ndzL7jixU5pWaaKund45qeC0KpHSKNKVYC0OrBaLhBSQcq2olDc9Ej3QWk2IsZ5zzjlSrVo19csac5kC/FHdtWuXDBgwQD799FOpWrWqe/7evXvlnnvukUWLFkmbNm3UP4A6dHA14QVotvvQQw/Jjz/+qH5Jg19CXXfddaW+f+TMsFqtEhZW8D+gCClpqEUSSKg/ohPUI9EB6pDoAHVIdIJ6LB9gDOurt96Uz1vUl1M1a0vi0aPSrFkzGdaxrWQ8+ZBaJjE8RJYM6SJfDj5dFvK8hkHqkZLllCMpLkOtYeUwqR3pGkcLD7bI10PC5US6U5XaQ2+tYKtFFi1YJu+dOiJSxWVkNQxySPtOCdKldhOpHGqRyGCR996dKUdNvel2rv1eajdtLv1EJCozWb5stFmCu57t1uG93SLk1rOcEhFsUQmyTLtIerYr9bPpqEOeW5Qh93YJkUuaFn648p133lFlPDFO2KpShGTkTN8TmSWRwZFSJcSVlOvWrZsy+0Dtxk1yrQN9C2fOnKnGIG+//XZJDQmTejlmn6VJc2l1Xj9p0qSJdO7cWZmGarrJ6CsMRhlPJPvU8anXQFmxziOHxZmZKZnOTPllx6/SO6ZXqZp9ravb5PX+5dOdKW/3wt2r/pPGOdffZ1lO+TXVIRnBmTLnwj5iX7JAGu/dKV1SHSIRLo3W2LhTGtVymX1HUo/KR+smSqeqZ8m6devkwSiL67cAdWOKdRs3HbVLul2ka53yqakzobzpkeiB1hVzP/74YxVJxh9sg02bNsmll14qLVu2VCULYNwNHTrUPR9/2C+++GL1a6cffvhBzj//fPXe+OMJ7rrrLvn+++/l7bfflmeffVZuu+02WbYsdy1xoj+oa5yQkKCeCaEWSUWF90KiE9Qj0QHqkOgAdUh0gnosHyxYsECuCLVIpSNxErNprbwYaZV7LxkgGePHijjskmWzyluDWkm3jgPz9OoDkcEWaRJtle51bSp9ZgZJuoaVrRITZZWaEVaJDrNI1chQSTP1kgrLRMnOeKlXyaqWR2IHiaAOOV/lDA2TPXanLDiZKGJzDeyHLpuvzERDhxmnTkjVEIfaFnweJTzxXVEhrgdIzuklWBj+++8/mT17tho4HzVqlDgOxrrnbQtPkXpRMSrVBwyTDiAlaaZBgwZqzBEpSgQHkjIMy1Ak6JzzJCIiQn766ScZO3asz23Zn+SQyeszZfeJvL3RvJl96LsGLPUauGY4HOKMO6jMybs73iWXNB5QuINBKsS9MDU1Varv3+1+f/LqZiL1KklmZpakX+Dq9RgKAzssd/LPmZKsnqOCo+TSJgMlfXuaZGdkSIwr9Cs1mp9VrNv57eYsmbD8dDqWlE89En3Q1uxDc9Ann3xSHn74YVUH2+Cll15Sv1z67rvv1K91vvnmG1m4cKGsXLlSzf/yyy9lz549KnaP5rpI7eHzn3zyiZq/bds2mTJlijIShw8fLrfeeqv6jhdeeCFg+0qKnvyEuctGpiTQUIuE+iOE90OiD/y7THSAOiQ6QT2WfWA+bdy4UTqaSvb1DLZIt+8mieQM3n82oIXsrn2+XNCgZ7F8Z3h4uCrgaVhWPSu3l771++ZaBmZfu5xtsrZuKw6LRfYlHBdLp65qmn3pAnE6HH7pMDKnZRUSiIXBbrfLG2+8oV4jjVe7dm1xHNiv3juqV5fUIKfUi6rnXh5l8xAgQOk883ijAfr1IXGDccWdqenu6bae5/q1PbFJDvlle7YcTM7f7EOPQIBxTRh+SPYZwKyEOdmqWkupFFJJSpPULKdMWpcpC2PLnwFRXu6FKP06bdo0GRLsep9duZLUObe/1Iqopd7H14qRw8Gw+kSic8pzGtg3rVfPEcHhckHD8+Xfn2ZLHavkFOIVCWlYvClS9AANZqivXOuR6IW2Zt/o0aMlMjJSnnrqqVzT//33X7nhhhvUH17jlzD9+/dXv+Ax5vft2zfXr3OuuOIK9/w5c+aof7BceeWVueajNCj+geCLI0eOqFSh+bFz5041D7XSDTIzM9U/wgDWZ56H18Z3YBksm98842LHPMPl95yH6cY8TCtonrFtmG5sm+c8z+3WdZ/wD7Pq1auLLecXY+Vhn8rjeaoI+4R/hKPJd3BwcLnZp/J4nsrrPoG6deuqe2J52afyeJ4qyj7hPlirlut/MsvLPpXH81Te9wk6xH0R88vLPpXH81Te9wn/jwId4v9by8s+lcfzVFH2CfdF/P+KMY5SHvZJ5/OUkpKiUnjvv/++PPHEExK7a6dr2cPxkvXrD5Jx5HCh9wnjT1kpKdI6Z9A80xgczlnP/H5Npdf1D8mHF90gVou1WPYJ/3+BaekWl26q2UOlUnBUru0+FXdImuaUEbS1P0uq1a4m0ddVlyOtW7rWefyY/DrjFdl6fJvSIYw447s99zfS5lTzjGSfv+cJSTscn5iYGLn55pvVdEesy+xLq11dnA6n1IuMyXWeUEFs8uTJqm+e57nAeOLgwYPV+2/SHRJnDRLr+QPE3rS5X9pLzcjGwZRQmyVf7Q0ZMkTat2+vxhsx9pldq7Z7HTAr8bnM7EyJPXVAUjJSSu16wpZO354t/x3KKnf3CKwLf5uhxbK2T4mJicrUvuaaa1QVuxnvTnAb7eGDr5E7O98ltaq7/j9sydKl8t1JV69NT+xrVrr3CeU7d+/eLW0qu65rYKnfoFj3KdvhKtNbFu/lJf33yXxPLC/7VB7Pkw77VObNPhh2KLPZqFEjGTlypPrHUVxcnNpp/BHs2LFjruWbNm0qO3bsUK8PHjxY4PzWrVurC8o8Py0tTc3zxUcffaT+CJsfMAkBIrcG2E5EqY1/4OFXTgZ4jWkAy2BZA+zXqVOn1GuUJkUZUkMIx44dczfsxYnGPENsx48fd0f+IQjMM4SB6ZgPsDzmGaLF+rBegO/BPHwvwHZge3TfJ+gB5wy/gigv+1Qez1NF2CeUCT569Kj7D3R52KfyeJ7K8z7hHwB4lKd9Ko/nqSLsE17jnlie9qk8nqfyvk+YbtwTy8s+lcfzVN73CdsNHSYnJ5ebfSqP56mi7BM+h3nQY3nZJx3PE9rDIFmGgfj7779fvvjiC6m28F+pdPcwybysv6QNvVwyP5wgKRNeLvQ+rV+/Xlpa7BKcU4ryvfAQSWnVRr22XTxYmg97XlpHNFIlNotrn/Ae4y5pklNe89gR2ZuwVzLsGerYHjhwQOqcPD0eltWspVTtUk0sYRZZUSkEv4pV08OWrZRdx3a7jLzkZPUd3s6T9a+p8r+vrpa6K2f5fZ6wvokTJ6r9efDBByUkJEROJCSII3afWi6hWqRkZmVKrdBaubSHH6ch3edLe+jdh+86mO2QSV3Olaz7H1UVyPzSXsJJsTscEmrLX3uYBp3AcFyxYoW8PelzcUZEuo597H71ucUHl8qEVe/IhoMbS+16Qi9F/P06lphc7u4RWI9h+pW1ffr1119Vu6rt27erHxTdWbeGa10WiwRd6hqfRmgG3/v111/Ln+l2ybDmjdRlT/1e0j/7SA7t36/aY4G+LU6n+ey16hbrPhlmX1m6l5fW3yesH/Mwtl1e9qk8nicd9qkwWJzmn9RoQteuXWX16tXSokULFWtftGiRREVFKRMQRh5+IXXuuafj808//bT6NcKMGTPUZ2HCPfPMM+75SPUhyYcThJKda9euVesywD9eYP6hxjc+7w2cYAzmm8Evh/Bda9askU6dXA1OcYLw6yf8Yg4nzfiVO8CJxXTclDEd34t/iPiah88hMYR5eMZ6PecZbrDxiyssm988Y9swD9OMJJJ5nud267pPMPliY2PVr65Ql7087FN5PE8VYZ/wYwHchFHf3/iFWFnfp/J4nsrrPmFb8TcKv1A01l/W96k8nqeKsk+YjoGf/7N3FlByW9cb/yQNLzOTmZntOOY4TE3iMDOn6T9N04YZ27RpuGFq0jDHTpw4ZuY1e5lxdndY+p/3NLRes3d2tTP3d84eaSSNYPTN0+z73r2XjVBk/2yGwzWF430K92vy/XOUkpLCM3qEwzWF430K92tir1kHAmsP2XbhcE3heJ8i5ZrYcva/M4t8Yu1iOFyTFu/T//3f//H+Kp0oYl5uJk5THEgLMsOCWf/yE5jUe9phX9O9996LpAXf4iqz2nn/16sGY/SQmTg/dRak1DTYHU5srgPy4nVINKFTron9pjv99NPxbqIRuYoH9SMH45mTEnHJ4IswPGko19T/LjwH15nVOALxv1/hsi9vQ311PW4dfBNm/vgFZJYyMCMLxjf+y69n39+JwdfbOmu8//OJmr/8sO4T69+77rrreP8hS4fJ9uVcsRSuv9zG1688ZQy+HRmLR6c8BJ2kOyLtPfjgg/jyyy95DcALLrjgsLX3v612vLXJgydmmNA/QTik9tg1MNOPHf+7QfmIqiiFOGIMpEefQ1FrMf69/iWcWnAypmYd12Xfp3M+a8PARODB4y1h1UawvhvWt8vaQnYOPemaHnvsMa5Hlmb20lNPhnLV+eyLjq39U1B6+9U4o8/pePXVV3nZKh9fnTYHsb+p/d9vw4hL9DL7UPhruaA3btu6Bxscbnx/+gkwLfwJsETB/Pn8Q17vkVzTLQvc0IkCnpkm9pi2vKueT3xAQVkZH3zA6oGGwzWF432Suvmatm7dyoPOWCrvwYMH41B0rNjbzaxevZobfcxE+/TTT/kHsXfvXowZMwaPPvoo38aXttEH24Y12Ayj0XhU6xm+bfYH++Ltm5bKh08gDJ8gfOcZfKzg7dhNDN72aNexmx58HZ2xbt/z1uo1sX2wB7RvfThcUzjep0i4Jtau+NIohss1heN9CtdrYvtizye2fzYfDtd0oHV0Tdq/T2w5q4PCBuH4IO1p7z6F+/eJ/cPF2kWmQ1+72NOvKRzvU7hfk0+H7Hdi8PO5J1/TgdbRNWn/PrF9sP9XmB73d26kvWO/F2z0/eqlS3COUcANOakQawPRAXWygnhBgDfbJWfDgrdQrTTjtN6nQC/pD3ovWDmaX375GU/r1bZEyMrBjLFnY1z6WEhR3og1tw4PLLHjtL7AVcMNnaKvmJgYvqxFVsCC++JlA0anjcTQ5MGQRIlHJ8T5rslgxJfVCyGZJdg2tqI+vR66KdPgZGZfRRnE4r1Q8vI6/E70Xa+yn7I6h/N98mXoYmYf20auKIfrsXv957SywITsmCxu9B3p94llGZs4cSKmTp16RO2em1U/E1hkn3BY37Vx48bhxhtv5GlfV5ZVYJoIKGUlfF2mkMG3XVm9GgXxBSiIy++SttyiF2CXhbBrI9hgB/Zs9v0f3dnXxI7tWfA9PGnpkIaO7NRr8kXEjhw5ErpvPofLaxr8OjETM2PV+o+sj9QHC0pJu/EOOOpq8M36jXi9pQ1THrgPvb/4CMruHRD37MLzJmBjSjIsJUW8NqeYndtp99B33skWD/8u0O+Ijvpinxkb/MDaRJ830ZO+T/Q7ouvuU49O48nCkRl/+tOf/EJn0X1z587l0XusRh8bCRQM+4HhGxXEGu2jWc/wbUP0DNiXiY18CH5AEwRpkYg0qC0ktATpkdACpENCC5AOCS1Begw9CxcuxB/1HtxkFiHWerNCxcahae7puLQFuNTqwb2DLXB5Hb9xe534tfQ3fLXrmwPuk0Ug/OMf/+ARg5PdDgzx1ueSJh2HU3ufjDSv0ceos6tJu5JMQY7iMcKMEUaLx1vDz+7AxYMuhF5UO3yXVCxFnPecHFFGLKtcgXQxHfZCG49sliZP8+9r7/fv4YFlD6PKVbXfPpy2YjXtpo/9mX/7w2f2ZWVlQbHZ4Lj//wCrmlrNcMfduHT2XTiz7+lHdf2so3X27Nl+k/xwyYsVMD1XQrzx8O/FJZdcwk3FvU5vvaaaKih2O6L0UZiVOwNVrVV4fu2/8PqmN1HZGkgnGipYKk+76iWFFaFuC91ffwbH4/fD/qebuPHcWXjWr8Hgop3MRkZWXCxcX3/GlxflxcPVry+GpQzlr5lx5OOcc86BmJQM8z9exZe5ag3Ny+97AA9EpwLnXAhfZbKh1nrIu9S+eCE7F53NQ1NN+OvkI/sORQr0bCZCgeZcEp/hxuro7fsjgz1ohw8fztN67hsN6Bu9cDjrWf2+4NytbP2+IyAI7cN++LICtb6cuARBWiQiEWoLCS1BeiS0AOmQ0AKkQ0JLkB5Dz48//IDRXuNLSE2H4da7YHn/S2Te+Re89cknSD5uJDb1t2BvZiLfpv/OBkxKn4ApWZP2uz82KP3666/ntbfmGiXclaAab/YYM8pPmdlxe5vX7DN3ntnnyxzSIqtmn9Km1jVi7Gnai+W2lUjOUCMP6g0eZEdn4YTEWYCi1kESM7Mg9urD1yev3Qq72443N7yDNodaO8kHq5P0xK03tVumNOw//em++KKdMjMy4HjmYci7dvDXuj9cAP2sE5FqSUVOTA66kglZOtw+zojEI7gXLNjhoosuwh5PoNKSvHMbn57c6yTcNfZPGJY8FJtqN+HJlU9jaflyhJLjc3WYlNWx3ltPJ5RtoeJ2w/Xh2+oLNv/Fx8e0P5Z68Mcff8RvD90H25034AqXFScbBCSvWgLY1O/QwolZmJs/B6Kgdu+z0jLsO5uYmIjp06f798VKXTHzj5fI+u03zPv6J1zU5MFvQvvIIRbZR3Qd9GwmIsLsY+k62UOORfEFi3/RokUYP348/vCHP/A83L7oPFYAmRWynTVrFn/N1m/cuBHffvstf93U1IS33nrLv37KlClISkrC008/zV+zHKgsVJ7lPg0eAUFoH5Yax1f4niBIi0SkQm0hoSVIj4QWIB0SWoB0SGgJ0mPoP9+9a9cgXvSmYTvrPOhPPQuCN11lbm4u8qYW8PlNhlj1TfV1OEvujyRzEn/Z5FCj0Xz9VLfddhtq163BCwlG3G0GDE4HX/fFrFyUoanDOdS1qSbRkRhMh4L1zbH0ct5dA0FmX7ohDbULahDrVlc6o8y4etiVyM1UzYKdO3fy65AmH89fS3v24JTkqai11eKr3e2jGZ955hkYfNGQXuSaqiMy+4bu3ALPwvl8Xhw5Foarb0R5SznqbPX8PHoCw4YNwx69auoy5MLN/nkWxXn5kEtx26ibYdaZsKR8aUjP5fxBeswbFEjZFy6Esi20//QdlKpA+l73d19C8ZpyR8Mnn3yC1//6Fwxf+B0Er4ZnxyfA9ukHfL44OQpDT7gBI1KH45udLjy6xIG398Rj3v1v4IL7/4M3NgPrq1VTs3efPsg6+Q4kXP8ZlBPux17zIJQl9sOms6+B6cW3II2biNqUAnybNwvvbHLh+VVO/vf1ThdsLvXYxc0y/rjAjnc3ufDCaifuW+TA59tdWF0ZME6/3+3G40sd/L1vbHDi32ucuHOBHYtKwjBMtBOgZzMRCjRXs49F17HRLFdffTWeeOIJpKSk4MUXX0RRUREviltQUIBXXnkFEyZM4AbeZ599htGjR/OiwYyhQ4fyYqVsxMKZZ56J5cuX81FCLC2ob2TSU089hUsvvZQXOGQjOlgkIKsPSPQs2L1kqRoIorshLRKkP4Kg9pDQDvRcJrQA6ZDQEqTH0MIMp0w3M+PUSCixQI1m88HMpuZoK+RmN74racKZrGSNosDz+0JIg4Zifc0GvLv1fVwx+DIMTBqALVu2YOjuQlwTK0GvqJ3kSkIi/jczC6XDC3BR+tgO51DvS+PZiWafL8tWa6tNPYfWgNn3wQcfoHZVNRKSVUMzJ3swYgyxiOoXxQfYs89k06ZNGJgXyNo1xdgHm1KLsaxqOYanDcWAxAH45Zdf8MUXX+Dmfc7bXlGF6IFDDnpu/HMtKcZ4HZD83ed8mZCeAdNfH4Eg6fDZzi9QbC3BY1MehsCKDnYR/93qwrZ6GfdMMkD0lic6HFi9przRY1C7fjGSRQGeLZuwr92WF5uHgrgCbKnbCofHAaNE6RG7qy1kgSm//fYb1q5diw3r1uHOkm0okABZECEqMtDaAveihdDPOemo9r9q1SpM0QvQBWlomLMJvvyb80dfgdmWkXy+uk3BsnKf6VYAcI/RjRiDgOGpEsqtCv5b6EJqjAnCyOOxJ6kPHE4nooZnQ+qbCPGR5/DvhQ5srZGBGjWVrI/+iRL6Jgqw6IAyq4wdDd60vgKwtsqDEakSRqerbd/OBhlLyjpGTe5pknFc1wbY9gjo2UxEhNnHeP311/Hggw/innvuQUVFBS+0yx7+gwYN4utZlN9f//pXLF68GOeffz4effTRdkUMmRnItmU/PgYOHIjPP/+cj6TycfHFF/OQZmb6Mdh6n1lIEARBEARBEARBEARBEIcDi2Lr7a3Fx/ClrvRR1lIOp+iCUqlgW3UNPOOGQNq+Fe7fF0J/9U3Ii83lKTBNOtU4W/Lhe7jRrCbiUgQBVTMm4tNJiShXmnBV3zNhkNqn3uPbKeCd8Z0Z2ec3+1q8L+w2XkuvyWrlGbQYyXo94HbBkJDCX0uShLlz5/KMXN999x0GnXJiYGe1NTh/+Hl4fOWT+KloAZLlZDz88MN8VW+TEVACJoOz6tCRfbbX/o23FCsQLakfgMkE4wNPQoiL4+snZ07CYEeTP8VhV8HMkDWVniMy+nxMnDQJW1YvxlQDULvkN6S5XPj444/Rr18/nglNabFizruLkRzXiurRNciJyQ7JNXy6zYXl5R48NNUIQ5C2iQD/+9//8OSTT6r3TQcUMB2y6FtzHM60NXJNKuUlR/WRMSN7w4YNmOtNDbwvzpR03HD7eZB06jHPG6jHJUP0cHiAjTUyt7YL4gUke9uDFpeCy4bqcUofHf+qrKnqg4oWGUNTdP4o3oenGrkpZ9YJSDAJcMvA7kYZ6dHqPpItIt4/3cz3H6MXkBkjYFudjGhD4ByvGaHHDaP0aHUBrU4FJp0Asx4wkoYIIrLNPuZsP/TQQ/xvf8THx+Nf//rXAd/P8hPfcccd/O9AnHzyyfyP6Lmw/NXMDM7IyOD1HAmCtEhEItQWElqC9EhoAdIhoQVIh4SWID12hdmnzgsJifwvmIzodNw08no88eUTWIt6lOf2Qs72rVDKS6Hs2YX4Xn1w66ib/fdKXPGb/73/uWQY9uRIsEhOnJQzF4OT1UHw+3LFcAP/62wsFosaJOTD1ob//Oc/PBXi5AkTIBWuVK87Nt6/yUknncTNvh9++AG3XXyRf7mrvAwtGTkYED8Am+o24d537+Wld1jmrn5l2wFrID2pu6r6oOfFBvcP/+RD5AUtM975N0i9+/lfs/SG3YHdzUyOo3vvcccdhw//+QymQkGC24VfP/sUzz77LNLT0/H111/D9fnHSFq9CbPZvbkhCqGislXB1joZNjdgCKPSfZ3ZFvrKT8094QTcWrELKN6DVgV4tbwWJ2fHwNDSBk997VHtu6SkhGeiGxDPhKRgZWwKRjfX+GtxRc+7CJIuEPdp0auGm0UExmd2vGEDkiT+52NiVkeB6iUB/RLbv3eUN2LPBzOwWaSgj+Fp7df7jOEYA/sjk/hQ0LOZiIiafQRxuLBoTpYeIjiqkyC6A9Ii0Z2Q/ggtQXoktADpkNACpENCS5AeQ2/29fLW6xP2SeHJkAQJfeJ7Y0j+YP56vTnGv869eGG7bb9b9h2mmtQ0eKUZ0TAMG4NLBl2E+yfdi9l5s9DVsJp9zMDwUbVnD480Y9x8+WX+5UJcwOxjUWi9evXiRt6ybdtZuB9fLtbV8D6c0ekjUd/QgI31mxAbG4v7/vIXWFoCNQsZtso92FpXiBanL6wQHer86b11DBmGu+6Dblrg83HJrm6r1ceiq442komZehc++Ij/9cRXnsVkHVBZWYnq6mp4Vizxr5MrA/XhOhsWJcrw1WsLFzqzLdy+fTufXj5hLCzFe/j8xuwCtIpArUFNdVlXsfOo9r1x40YkCkAS1M9/iS4P2731MREXD90Jpx7z+RPdDz2biVBAZh/RY2ERnNHR0XxKEKRFIlKhtpDQEqRHQguQDgktQDoktATpMbTs3bkTedL+U3iyumo7G3fB7rYjNTWVLytyuPymoOf3X9tt37h4JTJbVaMgbe55uG74NRiZOgJ6cd/qbQGYqfVxoQvrqjrWyuqMNJ5tQabZJ2+/BZfLxVN19kpO8i/3pc7k84Lgz6T1zXffQUhWr1upqeZ9OCw6sb66DuahUZj5x9lIbKqHsI8x56nei1c2vob7lj6IlZWr9ntuMV4/bVlSBvSzT2r3eby/9UPcu+QBtLoCdQa7CoebmX1H//7kCZPRGhS1Nc+k9nltXbkCcuFm//L1W34KmaFp9kaKtaklI8OGzmoLHQ4HioqK+H4yFv+iLtQbYJl3MYy9TKg3qPeltaYMVqf1qKIG+wVpaKclBf+yyWjp1Q/GPz8AwaSm/CV6NvRsJkIBuSREj4UVw21ubuZTgiAtEpEKtYWEliA9ElqAdEhoAdIhoSVIj6FNw2YrKYbBW59NzCtot764uQQvrHsRyyqWIzk5mS+rra2Fbso0Pi/v2g65opzPKw31OO7XgPkXO+u0wzqHFhfwziYXFpWExuwLjuxbteg3Ho1y/fXXQ2lu9C8PTuPJYGYgM/0WLVoEOUm9brm6kvfhwANY1zfzwkLmVAs8awNm3gZF7aZMaXXirL5nItYQiw8KP+JRfsGfOfu0o7xmX0pB4DN3y258uO2/WFezHimWFFh0FnQ1Do8C4wFqrR0OzMj535Q5/tep3p7bpoULAFk1ghk7dyxD81EYSYeDOUwj+zqrLdy1axdkWcZx2ZlQVi3jy3RzT0X/8RNhGmxBg9ertbQ4sKDYawYeJtu2bcOPP/6I/sHRoeMK4Oo7ADF/fxm6sROO6dwJ7UDPZiIUkNlH9FjYg5WlhWBTgiAtEpEKtYWEliA9ElqAdEhoAdIhoSVIj6GDRfdYEOiTEGJi261PMifitN6nYEBi/3ZmnzTleP82Hm8qT9tzjyHN7eTzyunnQExLP6xzqLephkySWQhRZF/gtQUKzjjjDGRlZUFpCtTYY6kFg0lLS8Po0aO5MVfpVo0VpbqK9+HU19ejZWUz3J87cMfYW+FZs4KvL5GB9SwsjnVWNjRisnkArht2Dcw6E97Y/BaKmov4OrYPZvSx+mGM/qNG86nNbcMrG1/HisqVGJQ4ENcMvYobjl3NH/rrcXrfY0sTqU/PxHt2VVfJ7FpZnbbtW9ptM8M0CFH60JiZFq9ZyWr2hROd1Rb6Uniep/d+OUQR+nMuBEyALkmPOpu6/5hWF5aUL+Xa3Bf34l/Rdtk5cH70jj9Cc/fu3bjxxhvR0tKC41PVyNnK2DiMHHcO3n33XV5Dkwgf6NlMhAIy+4gei16vR05ODp8SBGmRiFSoLSS0BOmR0AKkQ0ILkA4JLUF6DB3MODAHvRbM7TvjE02JmJ4zDelR6X6zr6amBmKvvhDSM/lr9+8L4WxpgWf5Yv56ncGCqBvvOOxzqPOafYkhMvuCI/uiBAEjR47k80pTcGRfII2nj5NOUlNrbqmq8Z5oDbIzM/lnxmCfh+KwQ968kb/eZozCFhjUbWUZjr/cjlRYcPXQq/iiVza8juq2ah6ZFR10qWJsHBrsjXh+7QvY0bADkzIn4oqhl8GkM6I7mFWgw8z8YzP7EhISUOP1o3SCwOu39WsJfN6M6KY26MRjrz23PwYkibhupAE5sV1vlvaEtpCZfRkiMKi+ir+Wjp8FMTMLJa2lkCQRtTbV4Na7PLhlwJUw64JbCeD111/HhscehFJaDNer/0Lb2Seg8aYr8Nl1V8LR2IiTxoxGb+/93ph9PAxSaO4z0b3Qs5kIBdRaEARBEARBEARBEARBEMQR0traCkuwH7JP5I3L44JeUo2F4Mg+hjRlGtyfvA958wa8fdVluMibWrBy0HAIR1BTLJSRfSaTCc1BZl+CAGRkZByW2Tdz5kw8/vjj2FBRhZkWkeWsg9JQh+rqar6e1TCUN20AXGo0Y1lyGn5vqsCn6eNxVuViyDu3oeFvf4Zy9zO4aODFeHPzG3hh3avo5zoBlvg8QC7l79tgc+C9Zf+AAitO7XUyhiUfj0017KQ9HaLV+iaqn2uZVUat93MLJtEkICdW3WZ3owyrs+M2mdECUizeOnq1Hjj3CRKLNQgoiBeP3ewLqsc3SS/wzz4Yd1UFNz9TLWpNxM4kO1bkf8T+KSwsxHlGwV9rUj/vYj5NMSdDX6RDbbMH8KbhzHQZ/Sl9UyzJMAgGvPXWW5ius7PwVHWHzU3QNzfhOgCXJuqhuGpZ8Um+6qRbzoHYi4IcCII4PMjsI3osrCh0ZWUl0tPTKbqPIC0SEQu1hYSWID0SWoB0SGgB0iGhJUiPoTb7Ai6MEGT22d0O3LP4b5iSORln9j2dR8lFRUXx91itVkR5zT7WqX96TTEgCDwh6KjLrjyic6gLcRrPegVw6XTQu93IkcD7YBhKszeNp8nE68ztC7vWadOmofrnH/3LKjdtRHl1nd/s86xZqa4QBFQkpUIo3IVH809FkrMJx9dvgnHDSix//AXMeug2nN33LLyz9RMsqdqL1MFnARuf52/9qGwBdgnRuG/SRRiVOgI/7XHjn6tVAzGY/okinpqhnuf3u934YkfHHJWz8nW4ZYwaXfj2RhfWVHWs7XbFMD3O6KcaYU8ud/o//2DO6qfDZcO8UYpHQXx8PKqDTMSzog2A7E1xOnIM5LWr0FK+Gx8WfoTbRt181MeJNDqjLWxoaMDOTZvweIyqAWnMBEi9+/H5zOhMJFUmoN5WAkRL/lqczSlxeHnDK9yYna47Hm1tbVCCzNR1IpAlCUhxKTCzFKNFqpHtGTAQUX3UfRPhBz2biVBAZh/RYxFFEXFxcXxKEKRFIlKhtpDQEqRHQguQDgktQDoktATpsSsj+6L8s+Ut5ZAVGTGGGP8yFt3H3sOi+2IGDYWQkMjNgBivYagbNBQFQ4Ye0TmkRgkYlSYhOURmH6PBHI1UayPyJNEfoQhvZJ8Q275eXzAnn3wynp8fMPtiWq2oq1PNvpSUFHjWLufzYt/+GHHcVHz3+2KYF9yPB2Iz8WlmL8SX78bsPfNhFG/FhMxx+HbPfFhNS5G0R42OZBjjZJze6wJu9PlSUF4/sqPRFheU1XNStoTM6I59SVkxgc/wpN46jMtUDZtg2P59XDxED/s+niHbw1iW47GT0ngyCrxGX405CpmDh3GzL7rFgermcl7vrbNrE7LIx7t+ceC0vjqcOzB8osqOtS1UnE6UPfkQnrawlLbqMt2pZ/Ep+6777l15kP/Lv9/6YZidNwvpUWlY8vkSvjzWG9X3RYYBH0xNQozZgpMdSZiwrgpphcU8alB37uVYWuZGdozojzglwgd6NhOhgMw+osciSRJiY9sXvyaI7oC0SHQnpD9CS5AeCS1AOiS0AOmQ0BKkx64z+wRzwOzbULuBT/Pj8vzLmFFWVFTEzb5evXpBmjQV7m8+D9yr0eOP+Bym5+n4XyjwmX2lEMGSRebrRb9R4kvjKcR1TOHpY9y4cWgwW+BQ7DAKAvSrV6BOVKMfM2JjIO8o5PPSyHE466yzMHnyZDzyyCNYunQpmk74Azf7TM11MBVth9R/IGbnTcVPpT9BX7cFMKrn0T93IC4cqhp9DGaKHMoYGZgkYWDSwa99f0bfvswI0efODKNGFlGpKNAHGXnLXQrOSlUjKwUFMDVY0eBo4LUhOxODBDQ7lf2mMY3kttD963wUrFzMCiny18ysl8ZP5vNb6rbi3a3vQ8gS0SC3N/uYGTst53j++h8r/wFjmg4Wh/rZtsVJGJY1DHdMvw1JZvU+ylWVgK0NpYn5eOxHO84bqMeFg8nsCzfo2UyEAmopiB6LLMtoaWnhU4IgLRKRCrWFhJYgPRJagHRIaAHSIaElSI+hg6XjU+0wL15zzOq0Ykn5Mp7Wr3dcL/9qX1RcTU0Nn24s6I8K2WuoJCRCd8LJ0BI+s29baxufJikyFFsbPBvXwbNuNV8mJKUc8P0sVeKYyVOw0KVeo3vJr2gpU1MU9mpp8tclk0aN4YYIS6/ITFDGBn3gk/UsX8ynzDBJq05FdFA30GnD53V6ZFt3wwwpVrexdp/urgWNVrQYA59LXLMDZdbyTj++yWtm2TpmOo3otrBu1Yp2r3VzToagUw1fo2REkjkJ6aZ0NOwT2efD4XBg/fr1SB0USPdbv9GJe2fe4zf6GGJaOsT8XvB4T9N7O4gwg57NRCggs4/osbjdbp7+gU0JgrRIRCrUFhJagvRIaAHSIaEFSIeEliA9hg5mHPgj+1jtOkmNBvu5eCFcsgsn5M1uZ0T5zD4W2bd48WLc/MRTmNcs4+0zLoblo28gpmce8Tk8tcyBT7e5EApM3lp8hdZW/zL3ooWw/+1OwOkARAn6s+YddB9Tp07F194oJsHtRr+yvXw+tVI1/aA3QBwy3L997969+XRjZTWEgj7tzD5Gc3MzYiTvZypKiIlLQ7im96sOMo0cgoiNbmBbQ0M7s29VlWq6diYWb8CizWvShgvH0hZu3rwZm3/8zv9amj4b+nmX+F/3TeiDO0ffjoy4dLBKjza9oYPZt2HDBjidTuSXJPiXZfbvD6MxKMdsEB7vx0/Vi8ITejYToYDMPqLHYjAYkJeXx6cEQVokIhVqCwktQXoktADpkNACpENCS5AeQxvZ5zP7BLPFH9W3uHwJMqMyMCR5cLvtfWbfggULcOedd8LlcuHcc8/FdTfeyCO5jhSXR8GiUg92BOcNDEFkXzFzL7w4n34IaLHyecOd90AaNfag+5g0aRI2KSKKvc7F5LYmPo3auY1PxcFDIRhVUzHY7Nu9ezd0E9QUifK2LZDr1Vp/jU2NSO7vjW6Ljg67qL72dfsCZltVehaYpbu2yGuSsuhITyw21W3mmutMJFGAQQy/yL5jaQu//fZbZMNrWk8+HqZ7HoYQE8tN/RJribpcEBAfr9awbNGptQ6VxoDZt3LlSj4d22+Af9n0004/4DE93vtPkX3hCT2biVBAZh9BEARBEARBEARBEAQR1rD0k+4VS6HY7aGp2WdRzb5fSn7lBsCc/NkQhfbdbikpasrLLVu2cKNv3rx5+NOf/nTUhlWDXTUDksxCaGv2yYDsTbkJbwpE/dU3QT/n5MNKSXnKKafga2/9t2zImGUQIVaU8dfSqHHtti8oKODTvXv3Qhg70b/cs2IJnzY3NcNY5uDzQnQMwhVmGtUEe7heU3VtYSGPhmT0QgJkRcbyCtVE6kwsegFtYRbZdyzs3r4NGd6vsy5P1ShjUeliPLv6H9hUu9lv0jKavN99xavzYLNvaH6gjmd6n74HPKYvsk+i3nuCIA4Tai6IHgv7YVxWVsanBEFaJCIVagsJLUF6JLQA6ZDQAqRDQktEsh5ZyjyGXFsD2/WXwvGX22C76XLU7FqPspZAJ/yxmX2q0SaYo9DibOVRfelR6RiaPKTD9r7IPsb555+PP/7xj8cUmVbnM/tMoTH7fMYF+xQrg4wn3dnnQ3/uRYe9n3vuuQf6E06By2sY/s3vkALSyDHttrVYLMjIyFB1Gx0HxMTy5Z5lv/NpU1MTLK3qybDIqnA2+8qCPvOMU87g081btgDx6n1Jsou8Vlxhgxol2ZncPcmAG0aHVyato20LFUVB684dkHzf9RzVrGtztWF+8QIkGBPQP7EfX+aL7NsmqLlQ5V07ePvD2gqWClSSJPRKS/Xv+2Aa1olAZrSAGEN4Rq9GOpH8bCZCB5l9RI/OYR4VFcWnBEFaJCIVagsJLUF6JLQA6ZDQAqRDQktEgh4bGxtRUVwMz9ZNULz1uD7//HOeQvLP11yFxpuugFJazJcre3cDt92Azz95AJWtlcd0XNaB7w+qs1iwsPRXOD1OzMmb1SGqjzF06FB+Ttdddx3uuOOOY05BWWcLbWQfS6l5wQUX8PnfvFFeuhNOhuHaW47o3JnBcfM9f0Vlnpqi048lCmJQSsPg4zJ2790LadwkPu9ZswKKy6XW7PMdOjoa4QozWuc7FWzKLoDhtrsQ37c/cnJy4HA44DSpEZdCUxOyojNRai3lEX6dycAkCbmx4dVmHG1bWFVVhSR7oG6l6DX7fiyaD5vbhpN7nQi9qG9n9v3uCOS+ZUb16tWrIcsyBg8eDIMjEF0sRB/Y7OuXKOGluWZMz/MWUSTCikh4NhNdD6mJ6LGwH4vsIcqmBEFaJCIVagsJLUF6JLQA6ZDQAqRDQkuEux5Z9N7ll1+OVZeeB/vNV8L1xst8+UcffYQkAbhsxwYYa6v5stI0Ne2jxebGxe9vwHeLXjsmk4TX7EOgZl+TowlpljQMTxm23+2NRiOef/55XHXVVZ1Sa66uTTXgEkNk9jGYKfnGG2+g7yNPw/zRNzD+6d6jqi/I9Nf3T/dACTJBpWEjIUgdjYxevXrx6c6dO/11+9DWBs+GtTyyL1o4tFHS08nKyoINwK45p0F/yll+s5jRCMFfDy4nJhsOjwO1NrWmYWfR6lJQ0xaaWpA9rS3cvn07csXAd0zMzkO9vR6/ly1GdnQ2RqaO6BANu7q5xR+Bycy+VatW8flx48ZBsTYHdh7GhjUR2c9monsgs4/osbARMeyHNZsSBGmRiFSoLSS0BOmR0AKkQ0ILkA4JLRHuemQRfCUlJZghqdfn+uhtFBUVoWHnDvwzVoccSe2k/z7fiFsnGfD3LNWek2QFBdsq4VECETjHWrPvwoHn447Rt+43qi8UDEwWcf4gPbJiQns8ZjJNPf54iEmBNKRHCtOfI68X9Ffd4F8mjZ2w3239kX27d0MaMwEQ1c5w55LfuLkb4zVehJjwrdl3zjnn4Mknn8RZZ6lGX7DZV2VXaxYqjQ04Lus43D3uLiSbkzr1+M+ucOL67zuvvmVPbguZ6Zzr9WOExCQI0dEorN/G245ZeTPafd9NJhMMBgMcThcwejxf5lmzEjuXLgmYfc1esy86BsJBjJ4yq4z/bnWhuDk82+5IJ9yfzUT3QGYf0WNxu92orq7mU4IgLRKRCrWFhJYgPRJagHRIaAHSIaElwlmPdrsdr7/+OmL3CWxb8fyzeClGRJagRr4tH5WOX08aiZjN0fhssxUt3s758a50nn7P6rTip6L5qNsnOko5RCdsS0uL3+xjkX0Mg9R1dc5Ymj9m9iWEqGZfKHSIM87laUB1p/8BuhNPO6TZx2qaiYNVk8uzfDGf+tJ4CtHha/aZzWbMmDGDm0c+hgxR60AWN1v5VKmpRtQL/0bCT792usFs1gFOGXB51O9QJLeFLLIvxVevLyOLT8tayvk0Lza33bYsYtcX3bc1JUNd6HTgmppixBkN/B4qLdbDqjlZ1CTj3c0uPiXCj3B+NhPdB5l9RI9Fr9cjNzeXTwmCtEhEKtQWElqC9EhoAdIhoQVIh4SWCGc9fvzxx6irq0O+N3rPx0nrlyHFG/21elwuzLf+GX8/8zm89fSbfFmR29t57q3jt6VuK77d8z32NO3176P4H39Dy4lT0PLlR/s9NovGsNls/pp9u11V+GrXNyG5znDSIYt60p9zIYw3/wmCwbjfbfPz87lpwiI0XS4XpAlT+HKxshx9JcCf+DOMzb4DpfZklLe2+Zd5vv8Kzn8+hd1Fazv1WGadKmxbGPkQR9sWMtPZ9z0XLFF8Wt5SDovOjDhD3AHv03UvvYY9g0fy+b46AQ+lxqrHtjYdVmSqz2cNyiBKhBHh/Gwmug8y+4geC/vhx4qYdkaee4IgLRI9FWoLCS1BeiS0AOmQ0AKkQ0JLhKseWQrNN99UzbvzJk/c/0bX34qxD7yNiVkTeeSTxWJBYmIi9njNPrlYNfdGp43C9cOvwaCkQfz1kuceQtJXP0L0eOB4+XlsqFq/36hCQVFg8X6u5Z5GbGvYjq7kjwvseHypmtIxnHTIotmYYeLxeLBy5Up8VqxGUTEuMAXSHgpx8YgkYmJieN3Haoerw7ovl79xTClp98Xi9R9sbiWi20JFUVBeXu43+2Ay8Tqf5a0VyIrO2u++Hn74YZx66ql8/h19NIoT1PS3w60NcL33RiCN5yEi+3xjEnTk9oUl4fpsJroXMvuIHgsb3VVRUcGnBEFaJCIVagsJLUF6JLQA6ZDQAqRDQkuEqx4/+OADNDU1Yfjw4ZiYndlhvThqLKLOvgBmvbndchZJUezLitfcBKWpETpRh34J/WDRm7Hku2/R9+uv/dubHG7s+OW/+zUbg/c8pc9sbhh2FcyEYLW8HJ3n72hKh75Unrfccgue+uhjVHjDnGb4gmBECdIYtSZapMBMgbS0NDQoHQ24k+PHQxIOXP/taCP72lyR3RY2NjZyY98iql3ogsmMWlsdnB4nMqO9aTr3ITU1FZdccgmf31xYiEecEkq9+nW9+TLkPTvVfR3C7PN42yny+sKTcH02E90LmX1Ej/6Rw0Y00QgIorshLRKkP4Kg9pDQDvRcJrQA6ZDQEuGox+bmZrzzzjt8/sYbb4ShqqLDNiUnTd3ve7nZF1SHTC7e4zfPvv32W2x44mF/HT4fmUs38M79fc2+4O1ESxSi9GqKv66gxQVu9CX2gHp9R6PDYcOG8alOp8Ps2bMhnHpWu/XScdMhpqQh0khJSUHjfoLt8j1qSsgmRxPqbPWdUrOPYQ+zyL4jbQuZGcOw+Bw3kxmNjgZem5NF9h2IvLw8HqFaWVmJwrJyPKKYAIta1xMONRpXiOmYAjQYXzPl9V2JMCMcn81E9+NPc00QPQ32g4+l3yCI7oa0SJD+CILaQ0I70HOZ0AKkQ0JLhKMe3333XW62jRs3DqNGjULb0w/w5ZvcCmKjLRAnD0fv49qbQz5ycnKwyhfZx82+IjRk5ODRRx7Btt8X4eUYNi5ewDa3gjIImKEDBm6rxd76XeiXMtD/vra2tnZm3153DbJcNh4d2BXU21QnINGfXzC8dHj++eejT58+GDRoEBISEqB4PLAXboS8W42K0p95LiIRFtlXFKRfH0pdDdyyGy+ufwUOjwM3jrgOyWY1feTRMLeXDnMKdDDqIrstLCsr41OT97VgNvMo4MemPMzTeR4Ilp6xX79+2LBhA3+dMnosjH84A457/8RGFhxWzb4Ui4DxmRLieoihTxwZ4fhsJrqfMGqyiUiDFcN2Op28uDN7iBIEaZGIRKgtJLQE6ZHQAqRDQguQDgktEW56ZBF4n376KZ+/7rrreBpOpbqSv17hUpB84bXcKDoQzOyrlAEWp2cA4HzuMZRCwt2KG5a4QBrEnwfMQNu2FZiBVujdMorLNiEnfgDWV3tQ1KSgaK8EYxQzUxr49gtqluIM52mwOo3Y26TA6lDglIEBSSLKW2Sw7vrJ2Wo33OJSN38daxQQpRfQ6lJ4ukS2LVtmdSpYU+mBRc/Ws/ppAq+dVtmiYEKmBLNeQGGdajQk9RCz70h1yLabPHmy/7UgSTDe/yQcTz8Ese8AiIPVyL9I40CRfUptLU9HOyt3Bt4v/BAvrX8V94z/81FHDRnDMJzsaNpCFtnHttT7jD2TauazGqDs72AMHDjQb/axgQm6icdBvuJ6uF7/N18mJB7cjB2VLvE/IjwJt2czoQ3I7CN6LG63m4fDZ2Zm8oaRIEiLRCRCbSGhJUiPhBYgHRJagHRIaIlw02NJSQmvo5WUlIQh/fvDfvet/nUZF83A3LNOPej7WRpP1m2/162gn9fQ6AsPy6nm36Y0IQ9fDL0aw/S9gK2v82UVFdvQ0k/Bo0vVdJ5WazwyR1wMbHyev3YadDyS6qsdHryxsWMNprP66TA5W51/ZZ0LDfaOjs3DU40YlirB5QGeWdE+bSiDneGHp6tmg+/dGVFCxOhQzMyC+dmXEMmwyD439h/ZxxiTPhq7mnZjWcVyNDubEWc8eKrIA8EM5+31MrJjBKRFhYcRcTQaLC8vhzHotWAy4ZeShciIysCAxP4Hfe+AAQP882PHjuVT/bxLeGSfvHM7dDNPOMorIcKBcHs2E9qAzD6ix6LX65GdnQ1JolEuBGmRiFyoLSS0BOmR0AKkQ0ILkA4JLRFuety4cSOfDhsyBM6nH4K8YS1/vWd4PlYMAk7THbzTlH0WjBftMq6Ii4aFRedFR6H/mCFoy8jD70IOoocPw7Rlq1DcHKgF2FC1F8sqvsUto+cgL06Hb39Zg23lK/3ro2JTeGTV6AwZ8SYBMQYBsgJsqvHw6LspOYEuuNvHGtBoV9DiUmB1AhYdeIRfbqxqqiSYgD9PMPBoPx715wZ0IpAXK/KoPsbYDAkPHWfE0NSeYcSEmw67i9TU1P0uV+pq/fNpFrWWYY2t9qjNvtJmGQ/87sCVw/Q4vV/P0FgoNMjMvuDgWbfRgC93fY0RKcMPafYNHjyYT5OTk1FQUMDnWaSl4YLLDuvYy8s9WFTixsVD9GFjuBIBqE0kQgGZfUSPhT0gWX5jguhuSIsE6Y8gqD0ktAM9lwktQDoktES46LGmpgY/f/IxBs7/GleYBExwtcDzy+/qysFD8c5J8eib0A8G6eBmn8Vi4XWS1tTX47jbHsPHrcNx6RA9hg3Q8wgeX1ygfWcbtm/9CohVjYFcJR6F9dtwy6jZMEoiMjzlqCpeDHg74RMTstTtYkW/accYl9nRWBiRJh3ynk3ypvw8EMxATDL3HOMsXHSoFbOvQVaQIAr7NfuSzUl8WmerQ5/43kd1HJM36tW2vzDCHsrRaJCl8Qw2+yRzFO4cc/shU3gyevXqhQcffJAbjEeTTnVvk4zfSjw4q7/+iN9LaB9qE4lQQMMCiB4d7lxVVcWnBEFaJCIVagsJLUF6JLQA6ZDQAqRDQkuEix5feeUV1Lz3Bno31eFSk4j+W9bx5UJOHnbfdiWcEjAoaeBh7evvf/87nn76aQwYMY6/jjN27IiPi4tDU1CmzbmJ43Ht8KthlNSkftZWKyxBb0tOyj3GKwxvwkWHWjH7/q9VxncOGUtdqkiVhjooHg+fT1bMiGuyo9ZWd9THsXj9JVYrkuFZvRy2P14Pz+oViBQNsvqgLLLPFLRMNFuQFZ3F03geDieddBKGDTu6+pIeb5lAFtVLhB/UJhKhgJoLokdDBUwJrUBaJEh/BEHtIaEd6LlMaAHSIaElwkGPv//+O/pI+5hy8QnQPfQkfm/ewF8ertk3aNAgTJs2Dc0O1ciIPYDZ1xxk9oktLYg1xPL5NdXrsMy4sp3Zl56cdzSXFVGEgw67GxaVytJQbvcAj9sULPOafZBlKA31cH3zOWKuvBJ//NdKyFvUlLdHg9kb2cdSyTLsd90Cef0a2B+7F5GiwYaGBjgcDiRFR/mXNQkONNgbuREYatzeY+zb7BHhA7WJRGdDT1mix8JC71NSUigNBNHtkBYJ0h9BUHtIaAd6LhNagHRIaIlw0KMsy7BarcgN6sUS0jPg+Nt9eL7yM2xv2MFraCWYEo5ovwGzr+O62NhYOFlkE9SedqWp0b+uqKkIdrcdSV6T0GGQkJHU6yivLjIIBx1qxRxgNeAY8fHxqA0ynex/vhXO5x4D2togKoBpx66jPo7Ze5vaXAr+89ADgRWNDYgUDbKoPkZWUqJ/2a91q/DoisehIPRmn0yRfWENtYlEKCCzj+ixsFE0TqezS0bTEARpkdAq1BYSWoL0SGgB0iGhBUiHhJbQsh4VWxucLz8P9+JfD7pdcXExPHY7sr0hLq0nno69zz2CZ6zfoqylHCfkz8HFgy484uOPyZBw6xgDsmLE/Ub2MXypPJXmgNl3cq8TEbcyGkneFIetMSZEG6KP+PiRhJZ12NO4+OKLMWPGDIwbNw61XkOIoextb+65rU1H/XnrJQFpFgFb1q9C4/dft1unOB2IBA36zL6MhMAggkpPE1ItqYdVs+9Y8TYvFNkXplCbSIQCMvuIHovL5eIPXjYlCNIiEalQW0hoCdIjoQVIh4QWIB0SWkKremxqasLOv/wRro/fg+Phv0Jx2A+47fbt25EjApL3dVWOBa9ufpPPXz30CszNn3NUne85sSJm5usQY+iYJy86OhqCIKDRVzirqcm/ziAZUF1VjZQo9Yxc8Wp6T6Ln6bAnMm/ePDz55JNISkpCTZDZx9CddDpgtvB5o90Fm9t21Me5b1gdNr56K6bq238/lOoqRIIGKyoq+DQlJsa/rB5tSLOodRNDzfBUCX8YoINln8+fCA+oTSRCAZl9RI9Fr9cjMzOTTwmCtEhEKtQWElqC9EhoAdIhoQVIh4SW0KIeGxsbce1VVyFz4xp1gcsJubjogNsXFhaiIKhw1eaoNqRaUnDH6NsPu07f/vDIykHTJcbExAQi+4LSeDKqq6uR5FFXRqfnH/U5RApa1GFPh0Wf1inA/xwyNroVrD/7Yhjv+AuEaNWcmhQ3DBa9avwdDatXr0a0AAz01u/zIVeqEW/hrkFfZF9yUM0+h15CijkFXcHYDAmXDDGQ2RemUJtIhAJKlE30WNgIO4PB0N2nQRCkRaJbobaQ0BKkR0ILkA4JLUA6JLSEVvQo19XC8/tC2D0evP7e+xjNDANzYAx6y86NiOvbHwsWLEC/fv2Qk5MDuaoSjmcfQWZxGXS+sD5BwDkzb0Ob6EGMIRBxczT8eaEDVqeCl+aaD2imNNVZ2UGhNAci+9ra2tDS0oKkOImtQnwm1evrKToMJ3ypZp+3MdNZwRWKiElsATP7aqqAttZj2v83W5oQnTMOaF7dbrlSqUa8hbsGfZF9CZZA++AyiEgxqzUTCaIr9UgQhwOZfUSPxe12o6GhAQkJCVTgmSAtEhELtYWEliA9ElqAdEhoAdIhoSW0oMcNGzYg5ZmHEFtWzFNMXccWBhl9jFXLPoGcFoe777obeXl5+Pjjj+F86e+QV6/AiQDWeqOLhIwsSCYLjs3mU2l2KDDuE7UUTGxsLJpqO9bsq6qqQowA+LJ/CkldE+nTk9GCDsPV7AuubckQoqLA7D9rfQVKG3ehT3zvo9r/mtZEFOSMBTbvY/ZVVUSEBsvKyvg03mT0L3OyyD5L15h972xyYVWFB0/OMMIYFNlMhAfUJhKhgNJ4Ej0aWd4nOTlBdBOkRaI7If0RWoL0SGgB0iGhBUiHhJboLj0qsgzHzz/g89tu4kbfwUiqasb7xR/BkGdEUVERVn/1Gdy/L/SvH+k15YoTO88oanIoiAv04+8/ss/30bW1QXE6/Sk8k4P63oUkivQ5HKhd7CqzL5pPGxvKsLR82VHtu76+Hq2NtYhHx7ajp6bxPBINKorij+yL8RqDHr0ERRS6LI1nVauMPU0ydd6HMdQmEp0NDaUheixsFE5aWlp3nwZBkBaJboXaQkJLkB4JLUA6JLQA6ZDQEt2lR6fTifLHH0DKb/PxR+9Qc4+i4G4pBjfcfRtWV/2KJR8swWmNbhyvF9C7UYBskxEzLQ7uOhfqv/k3BKVjTT25b5/OOT+PgjY3EOsLzzuAmdIcdAoslaeQnMIj+5KChs8LyWT2HQpqFzufqKhALTmf2cfNA6/ZlyJbMDtv1lFH4wouO1KDIl8rFSBd6LlpPI9Eg8zsZG0YawN0HjfcLIWnXgeLznxMdRCPBLfXl9RRqE5YQm0iEQqouSB6LGyUDQt5ZlOCIC0SkQq1hYSWID0SWoB0SGgB0iGhJbpLj+/c/X/c6AtmS2Ys7njxFQyefioumfc0KpCCHW71vMTaWqSsM0CRFaQbBUzc3bLf/fafcHqnnB9L4cmINR4ijWfQ52avrgpE9omB91Eaz0ND7WLnM3jwYNxwww14/vnneWpKu92O2tpaCNGq2ae3O5EedXRG//r16yF4HEiGGs3KKHQpPTqN55FosLxcjV7MzMwE7HY+79ALSO6iqD6GRwFYM8NquxHhB7WJRCggs4/osbhcLpSWlvIpQZAWiUiF2kJCS5AeCS1AOiS0AOmQiGQ9sg7Moh++xYlrl3RY5zz3VPTuHagflpubi92sR9uLflsZ6j+oxflLFEjeZa3eKCWOIEDsP6hTzrPZ62HEHcTs42k8g3yBR+76P2zatKljGs9Eiuw7FNQudj7MBLriiiswadIk/l1isBS4vjSeaG1Bg60BbpnFpR0Z69atg+CyIUm28ddsD77vqlJfhzXFR5cetKdo0JfCMyMjA4rd5jf7uqpeH8MjAwcpKUr0cKhNJEIBpfEkenS4c3p6OhV2Jrod0iJB+iMIag8J7UDPZUILkA6JSNIjM/eUshK4F/0CectGuLdsRHJToxqSAuBZp4yy03LRJzUTN8y9ut17c3Jy8Ouypf7Xsxqrsdqj4HhXG3+9SpEgxyZhXKs3yi8jyx+1dKxkxwj49xwTLPpDRPYFlfi6srUWv15/BcqMUZjkGz4fHQPBZOqUcwpnqF0MLXl5eTwaj6XyHO4z+zwePLboQdw04Q7kxubs932KxwOIYrvoMYfDga1bt0LKjEbflCS+rE2nx15ZjXBjJBfXAKq/GJYabBfZV7WXz0fHpmJ8+jh0FcxblShMJ2yhNpEIBWT2ET0WURRhoh/UhAYgLRKkP4Kg9pDQDvRcJrQA6ZCIFD02NTXhqgvOx8vuZhg9arSMzzJgHlnxuTfAmV6JcncFypWzcXytEdEGD4yigF4JIjf7SvKOx3xUYlbjTkzQAe/FGyG61UikN1ucSHWlYxyK+Ovdrih8v8yB8wbpkRur9oJ/UujineLsuGVWGU4ZSDELuGiIHgZJgNWp4P3NLqRHCbzj/PcSD5LMAmbm6zAq3Rc/eODIvlIZqJMVJIkC0kQB5xqBc9EGGNXjC0kU1Xc4ULsYWtpF9vXN9y83Odyotdft1+yTS4thu/VqSH36w/j4P/yG35YtW3i6y0HGWoyMMsPDonKNJqxzB8y+tB2lwBSErQaDzT6laCufj45JQkpC59QMPRzO7q9Dk+PgbRTRc6E2kQgFZPYRPRb2w6O5uZmPtAvVCEWCIC0SWofaQkJLkB4JLUA6JLQA6ZCIFD1u3rwZxtpqGGPUDulKQzzWxvVBYXJ/7B04HSNGJ6Gq/hlIrb2hxyg8tNjBt5uUJeHPE41ASj/YhvXDg65WDF/1EFJczbAoqtHXkJmLjVv2oJe3XhZjS/44LCr1oNmp4KGpaqf9N7vcqLN1rME1PE3C6HQJ5VaZb+PDKAFb6oDKVuWQZh8zBli2z8utMj688RpEb1gDz8Z1EIJqflG9vsOD2sXQR/YxWGSfMHKIf7nJ4UFtW+3+78nC+UBTIzyrl0OproKQls6XswhBxogRI6BU7OLzrlgzbJINFU4DMuxtkNeuRvHZJfhy99e4YvClsOgt6GkaZFGN7i//ByE7F7qxEw5Ss09N4wmTuUvPd1gqGX3hDLWJRCggh4TosbBUISy1QFcXGScI0iKhJagtJLQE6ZHQAqRDQguQDolI0WNjYyPigrJgPujUo9cJp6Hv2OmYGCXCLv+IXVYB102cA51gwlsbXRiSIuL4HLU76owpg/Hdzy+joboU99c34oWYQM66pOtuQexf78Pu0jX4KDkNMwb2xxn3XI64agPygg76/GwTqlsVeBQF2TEiN/PKWhSYvT1efRNF/OckEypaFVgdCkamSai3Kzzi73ANFKsgIuWya/i8XF8H128/w/3bAmDvbuhPPK3TPs9whtrFrjP7EFTn0mh3o8ZWs9/3yEV7AvenoQ7wmn2sXh8jdeAE1K1bjQRW/i9Bj5gxcVj0SS3ONQqQC7egvGYndjXuwnuFH+LKIZdBFMQepUH3zz/A+cIzLJ8ipA++hJCgpiztENlnU82+jS07MdzjgFEydtMVEOEEtYlEKCCzj+ix6PV6XiiXILob0iJB+iMIag8J7UDPZUILkA6JSNEjM/sSvLX5GPc/dDcKJk7m87Ii48FlqxFvjMeI1L7cCHhmZvtIFbPJhLcfvRWyLOPKK6/EHVs34tH0BESNmwjjxCk444wz8Pbbb+NLkx5XPPcsf8/cfUr2xRgE/hdMbmzgtSgISLawv8D6rIPU6QumV69eeP3115GVlRXYX2ISjGecw/+Iw4faxdCSnZ3N03CWlpbCYwykqkyWTShrUY2rfVGK9wbm69ToP/Zd3LBhA5/P7DUQorWJzzcYPcg0ZGCVqxrnMkdd9mBMtQ4700ZhddUaLCj+GbPzZqEnadCzfLE643bDs3YVdDNO8H8GlZWVfJ7V+PNF9pmi47vU6LtzgZ0PSnj5xK6NKCS6BmoTiVCg7SEXBHGIERDsAUyRfUR3Q1okSH8EQe0hoR3ouUxoAdIhESl6bGhoQHyQb5Y/bLh/fnvDDjQ5mjAufcwhI35Y7aKXX34Z17zwMuL/9z1Mf3mQGxfnnXcej6yZPXs2uovhw4cjOZnq8h0r1C6GFoPBwI0s9l2vaW3zL88S4lDZWgm729H+fng8kEuK2kf2Adi7dy9PdZmamoqs1AREO5r58laLHlMHT8UGN3gNP4a8YS3O7fcHpEel4/u9P6LJuy2rBehetQyKzCp3akuDrB5hdXU1Pzdm8PnwrF3tn6+vr4fT6UR8fDwsFgsUbyrh/hmB9q0rcGnr4yM6GWoTiVBAZh/RY3G5XDw9AZsSBGmRiFSoLSS0BOmR0AKkQ0ILkA6JSNEji+zzmX0uyQBYovzrWLQPY0zamMM2K0aPHg1JCkT/paWl4csvv8SNN97Y2adOdDHULoae3NxcPi2pb/AvS1OioEBBaUtpu22VqgrAGTAAlfr6dik8Wb2+KFcbJEV1nNrMOowtGA0W47Yb6neU1a80SAacmH8Cj+RdUbkCiq0NtsvOgePPt8Kzcim0REVFBS644AJccsklaN20gdcr9OFZt2r/9foYNtU8FUyBiMmuwKMAEvXchy3UJhKhgJoMosfCiumykUadXWCcIEiLRE+C2kJCS5AeCS1AOiS0AOlQuyitLYg0QqlHHtnn7Vlqs8TxaDwfzGAoiM1HioWi4ghqF7vS7NtbE6jRl6yoBlVxc0m7bd17drV7XbtzO5+uX7/eH9FqaQuYYe7oKPRJ7cPn1znV2D55RyGvZzc4aRBiDDFYVrEC7m1b/O9xvfM6tARLzcmiiGtra7H4xX+2W6dUlEGuVE2+hi2bcLZBwEWeNtgfuw/wqNdbi0DEZFfglhVIQW0qEV7Qb0UiFJDZR/RY2AOahdOzKUGQFolIhdpCQkuQHgktQDoktADpUJs4XngGbWfMguvbLxBJhFKPzOxL8HZGt0UltFt30cALcNPIGzr9mETPhNrF0JOXl8ene8orAFGNvotzMZNfQLG1uN22v7z9ZrvXG35diF9++aWd2WdqU9NyMmKSs2AymmA0GrHO5U3kyVKBbt0ESZQwPn0c6m31+OazN/zvEVJSoSVYe+VrBw1bNqoL9Qb/es/6NVAcdgx952XcYhExuaoEngXf+9fbYrq2dp5MkX1hDbWJRCigkCiix+LxeGC1WhETE9MuzQdBkBaJSILaQkJLkB4JLUA6JLQA6VB7PPjAA/jjom/5vPPZR6E/6XRECqHUY3DNPntUPJ+6ZBesTisSTYmHrNVHRA7ULnZdZF9RcTEQFQVYmyHZbEizpLaL7Fu9ejWsWzcBhsD3M1EAbv/rX+FwOPjggL59+8K9fCncvvWpBbjqWxussx7B0pY6YP2TfPkXn63ExH6jMSVrEj7f/B1qm8v8+/y1LRFf/WgHayL+OUeNMFxV4cF/NjjBSogGVxHNjBZx7xQjn/9yhwvf7lKPLAYFto1Kl3DVcNWce3mtE2urfNUDA5zaR4eT++j5/ONLHbh4iB5ZMep11tTUcB3GR1kwTKemNRamz4byy48spyLkvbtQ+K0DuQ61Rp8sipBS0tAUpcPWBDf6TTsBXYlbBnQU2Be2UJtIhAL61UX0WFjR4dbWVj4lCNIiEalQW0hoCdIjoQVIh4QWIB1qC2Z0rfvmK0QqodQjr9nn7VmyRydAURS8s+U9/GPNv9DoCKQAJAhqF7suso/V6BSiov2pi+fmz8FJveby7ycz8x555BHkB7tozMwTAdHh4B3Fl58wG/Ln/4X8XiANZ3p6X8QZBRgEN5oECRUJOXx57/KN3JCLM8YhuiwNWS2BVJfMzGPHDDb1WCAwS02pEwUYpOC/wDaSAL5MLwoQhaC/oP2wWnbt36/+Sd7r2lLrwZIyD7bWBto9ZvYxHd4w43iYvBHJv1ltELLUa2nbXojPn37Cv/0P112E9/98Gp65sDe+OrEvkpNUM7WreOA4I24fF4g8JMILahOJUECRfUSPRa/XIysrq7tPgyBIi0S3Qm0hoSVIj4QWIB0SWoB0qC22bNmCgaz3OEIJlR5ZVEJzczPi49Qu+MysBF6zb1TqSJh1ZsQaYjv9mETPhdrF0JOeng6DwcBNLSW7v7qwtRUjUof7t3nttde4GZgf3z7KN0MU8H28BFmUIP7yNZy/BNY5DBKy8ofjmUEmXPPRf7FmzRqYTjgeWF6CPpWbYTGwCDsRjo1lyCwNpP6cnu7B3BPap74cnS7xv4PBIvN80XkHwhfhdyB8LX6rS2k3OIHpsL9dNSRlRcGzP/2MsVPHwbR3N9x7dqOfxLYX0GwQsDB6Gwx1RvRJ6IMJGeNh0qmRh11FTizF6IQz1CYSoYDMPoIgCIIgCIIgCIIgwpbNmzdjwD69H0pLC4RoNfIlHPnyyy9RXl6Oa6+9lhtwDPeC7+H67L8wXHsLpKEjjvkYTU1NYN34vgiZuDTV3GPGQrC5QBBE19UAy87Oxu7du2HX68ESZyrNTXwdi7Dbun0r3nrrLaSKAv/uMso9CjKDBkOIciA1ppCWgb3907FyRBoutcTwZSwdMKMuLRO8SqfDAXlHIaRBQ7F75y5kstyT3jZBttu67dZHGdRzaFWzdXLq6ur4NL2ylE9rYuNR31SPJUWlmMHasuZGDNV7U35mJ+LCIRdgaPIQRBu651lRZpVhlIBkC5l+BEEcHtRaED0Wp9OJoqIiPiUI0iIRqVBbSGgJ0iOhBUiHhBYgHWqLTZs2of8+kX1KdSXCAXn3DrRdcjbs99/F5+XyUp4a7Omnn+YRPNu3b+d6LFmxHI6nHoZcuBmuT97vtHp93qA+zvym1WhxtnbKvonwg9rFrk3l2axXI9+U6io0OZpw96K/4v6PHuTtw8XTjvNvv8YdnGQTUGLjsOPsWXC/+BrM736G/LufxaiJ5/jXx8XF8Wl5Qop/mWfjOthsNgj1dbB4jT5GU3M1uguLd4BHW1BkH4t4NLqcsFSoZl/yjDl8urJCfR6w5izLe/ppI6diYuaEbjP6GLfNt+OFNUFuJRFWUJtIhAIy+4gei06nQ1JSEp8SBGmRiFSoLSS0BOmR0AKkQ0ILkA67npaWFp6ibV9YNEvhxo3ou0/WOLmmiq/ribAUerW1tXze+cq/oJSXwvP7QtiuuQi2S86G9a1X0dampqlbuXIl12PCp+8BbrXTWKlXo1uOFpa6c8WKFVi+fDkSgjzUvdDBrGOxRATREWoXu4bcXLWuXI2ifjmVuhpES2YoDTLKd5QhNTUVp40MRN6udbd//9pHbsdbA51Ya6rnUcEWvQVDU4b41/si+2oUNfKPIW9aj23btiFnn3bWsI+R2JVE6dXrbwky++rr6zHGpIfgbfujJh3HP49djo6GWtKwiehuZEWtX0iEJ9QmEqGAXBKiR6cniA7jtCtEz4G0SJD+CILaQ0I70HOZ0AKkw67nhhtuQO+6epyfkoIPJ9+AnelDoJcAW0szUpKGwVD7e7vt31pQgm9KbYgzCog1CjhvoA6TstUukr/9ZkejHbC7FUgiIAqAThRw90QDMqJF1LTJePB3J1/eYFeQYhG82wCPTVPNrlUVHry32QWW0c4tK/z9bJv8OAG3j1PrPn2+3YWFxR5+nAsH63FczsG7aFxffIK2D9/C63sqsNUSi6euvxYDVi3rsJ3n5x/988zsm9cnH8Kq5f5lclPDEX++LKvOr7/+yv82bNjAjdIzDAJeign07ovxvSGJB6/FRUQu1C52bWRfid2BwWxGliHUNyBjTxrsW2244obLoasoA/P4bDoddnoc7d5/3MAT0T9vDJLNSfvdvy+yj5n+4tDh8FRVwLNpPTb1G4481sgFYfZ0X4yJSQf0TRCR4k2BySIamdk31uA9J70B4pDh6Nu3L9ZWd4xAFPsPRHfDnh9k9oUv1CYSoYAi+4gei68YOJsSBGmRiFSoLSS0BOmR0AKkQ0ILkA67Frvdji1btuBORw2ySrfg1o9vQ2Y0UFe2G2tXrcCJrcXqfQl6T1LLNoxIk5BsEWBzK5C9y20uBWVWBS5ZQYxRgFFiJp0Ap0eBrxvb6gR/3epSkBYloN6uoNbGXgf23+xU0OJUuNEniQLfHzP1WOetD5ub7UtBeYuCtVVBK/aD4rDD+c+noKupxl0Wkf8vXPbPp9WVooT5I8ejRa/nLw0VpUjIN0CKl7CtZRNqnr2/3b48DYcf2ceOc8EFF+Dss8/G888/j/Xr18MsiXgmwYTb96kjZUjsd9j7JSIPahe7NrJvZ2Nzu7TF7LvMSEhIgFy0h89b4xLBmh6bL8r5mhv4JNWSAlHYf5exL7KP7U8aOlJdaG3Glu+/6VAbFQ57J1/d4cOiEp+ZaeIDKRi+/sOxBnVAgjhkGASjCX369IE82NLuvdKsuRCTU9GdyIoCdlfYgBMiPKE2kQgFFNlH9FjYqBxeENxshiTR6EGCtEhEJtQWElqC9EhoAdIhoQVIh11LWVkZ1O5cFZ3sRt27N6F0/XokAjghSa1dtTLTgL51HiQ5PEi1rcYd49yINkS125dZL+A/J5sPerxe8SJePvHg28zI0/G/g3H+ID3OHaDDmZ/a4DhEurv//vE2nOKdTxIFjMvNxrSmcv56kaDD36UtGD/GhL8tdXFTcvSgKKxNN+DswjbEFqkpPe3JCTDVNkCy2aE4nRAM6udyMBYtWsTr/kVFReH444/H8ZMnY8LCb4GVHSMKY5IHHXJ/RORC7WLXmn1bqmv9vb7M7BuC8NEAAQAASURBVKtWahB3UgJ2GXfDU7SbtxP2tFQYhznwYJUL4/My0dLPiWsPsf/gyD5p6Aj/csueXRhkZn1zgbasobkKB28pu466ujqkQEG2oJ6fNHIsn7LIPn2xHqucMsbUqCM2jDfcge7GNzCEIvvCF2oTiVBA4wOIHoter0dOTg6fEgRpkYhUqC0ktATpkdACpENCC5AOu5bS0lKk79O70bBxPZKTkvD2qSfA4M0G82uOEdXe8L4+zhgYdYc2u0INi/rTi4D9AAlrFKcDdS/9A6cUrm23/P9i9JAENdbwPw1taF1hxbpih7+bvfeGFiQVunDWFtXoEwr6IHbelf73t9WpRuGhWLVqFZ9effXVeOC++zB51e9+o69QZ8TDrTKaLHr82j8LUbGZR/4BEBEDtYtdA4vcYyVv9rSo332GXFMNW0sbdGl6lLdshdDSwpdvTrVBStBj15AYrBqdgTkFsw+5/9jYWL/ZJ+TkAfEJ/PVEvYAcr5HmP67dhu7k650uvLPJ5Tf7RrHG1os0ahyfssg+6y9NeH6vAwsMUTC9/A6EWNXQ7O56fQyK7AtfqE0kQgGZfQRBEARBEARBEARB9OjIvqx9ejfOyM3Ex2MGI33RfP66OcaAFXoRZW1qx290Uxv0ojYGjg5MEpER3b7WFWPNmjX46LILYfrk/Q7rUsrU1KSO4SMw8syzMXHoBNRutqHarNa1H9jowV110VArCALGm++EkMjiHFXqq/Yekdk3dswYOP/5NDy/qPUAxf6DMODdTzH8b3fi/hvH4sWZp0FPISgE0e2w9JUFBQVgVp/HaPJH9tnKbKj/sBanyUP921akGSBsljGodgCuHHI5CuLyj8zsEwS4+w7gryfoBX+q4zqvU6VzueGWWXXA7mFpmQff71KPX1tbi36+YGtWr69vP3+NQ5YtrMiloPiksyD11kY6YpNOwOdnm3HT6O4flEIQRM+BzD6ix+JyuVBSUsKnBEFaJCIVagsJLUF6JLQA6ZDQAqTDro/syxLbm2VnNlZBXL6Yz1uTYvD2vMHAdhHV3tRoSk0V6ltr8OL6l9Fgb0R38vDxJlw1vH2HrqIoeOaZZ2AsLTroe98fIeC86+fh1ltv5a/XOdSO7ZE6AX2qyvj8AjewxxIDT5Raa4uR6Wlfo2p/lJeXo6Kignfu5y+aD/fXn/LlQl4BTI/+HZakJNRk1MJikPDn8dMwOZvKaxAHhtrFroOlpmS0WtQ0xe6KclitVig2GYMdgdTFV5x0H77+x1d48u4nMCR58GHtO9jsYzXHvtyp1v8LZr03LbHO5UGTI1A7sKux6AW0uhXenjKzr4/3OSHk94Igqc7fL2W/ovesPnx+1qxZ0BKsXqxun2cbET5Qm0iEAjL7iB6LKIo8VzibEgRpkYhUqC0ktATpkdACpENCC5AOu97sO5DPtKd/Ov5x2WBkDJ2CJCEJ5V6zDx4PyvduwPaGHXh5w6tocwVS3mmBDRs2YNu2bX4Ts8Kj4KwmDwqDavsVZ8egpV8vJJkTkZ+fj5iYGHzW1Aq3EtjGLgh4odXDB8qKCYHIPqWp4bCj+m7JSoH7o3f4vJCeCdMT/4QQF4cNtRuxu2kPpmRNwuSsfMQZqVOaODDULnYdLDUlo8Tu5NOy9Wu5Occw1VSqG5ktsGTmQ6fT8Qi9wyXY7HvxxRfxXbE6qMBHvSj521m9S0aD49BtTaiI0qvpMO1uYMf27ejjjewTe6tmaJvLhgUlP2PYSSPwyiuvYMAANUpRCzg8ChaXurG3yffQIsINahOJUEAuCdFjYWH27EcGmxIEaZGIVKgtJLQE6ZHQAqRDQguQDrs/sk8RgPnH5+Htcwdi6oATMa//uUhOTka5rxASS3XpiMVpvU9BVVsVXtv0BlweV7fXlfLx0Ucf8WmBUU01ut0cjToF2OYJnP+WGSNx86gbEWdUB8EOHToUWz3AP22Bbdb3H8bft3XrVugSk/zLV23/GauqVh/0vNatW4dxOmB2hZryU0hKgenJf0FMTuGv11avgyiImJI1G2VWGfYgI5Ig9oXaxa6jXz81FeXOxiY+jba1obW1lZt6ugq1XqeYm39EJp8PVg+Qva+lpQVvvvkmdisibHm9/OvXmGPg8DYFOllBfUsNuosovXp9rS4FlRvWIdp7vVLf/ny6qGwRnB4nZvaejlGjRkFLNDsUPLHMiQV7uy8NKhFaqE0kQgGZfUSPRZZl/uOCTQmCtEhEKtQWElqC9EhoAdIhoQVIh137WbN0k76afYuSBuDtCSl4+dLhsP7hDNw9/s84sWAuDJIBKSkpKAv691EuL8H0nGk4Pnsq9jTtwVtb3umW+lJLSj34YXfguNXV1Zg/fz7iJREWj7p88rnz+PSnND2cIlA6IAsnzXsAUfpASr7TTz8dFosFX7oFLBk3FYbrboPh3Iv4uqVLl0KOimYFvfjr+qo92N3YMf1eMNu3b8csg9cMMJlheuJ5iJlZ/vUXD7wQt4y8CZuqzbj+Bzs21tD/5sSBoXax6yP7fGmL40QBMYJq1CnFe/xm39HABhaw/fi45rrrkPTqezC/9QnMr7yHr5KyYA/avqapfeRfV6fxZJTXNiLaF9HI6NUHdrcdv5UuQpIpEaPSRkJreLz3jkqhhi/UJhKhwFealCB6HG63G3V1dTAYDPyPIEiLRCRCbSGhJUiPhBYgHRJagHTYdVRVVbEPHNnejC87LLmQphyPsybOQEFc+87svLw8fCkDHkGApChQytVOaBbd1+JqweqqNfjPpjdx+eBLoZfUiLquwKgT4PD17AL45JNPeCfg6RPGAoVr+DJLn36Iy4hD+VQjrrfE4fWLXoHZ0L7u3syZM/kfq0/li9gZ6Y3m2bhxI6ytrdDHxgFNjTgueghi+v/hoBrevXsXRpq8kTAjx0DMD0Tv8GWihLzYXGypUQ1JAw0nJw4CtYtdBzPjMjMzUVitRvExZuoFbI6OgtJQ46+9ebSwLFusBuCECRNw2WWXQRBFCFk5fJ3eaIQzKMi3vjFwDl1Nv0QRc3vpsHdHIfoEuWZyTgF+L1uCNrcNp/Q6BZKgvYxhviBuiWr2hS3UJhKhgH6KET0WZvCxf9bI6CO6G9IiQfojCGoPCe1Az2VCC5AOQ4vdbsfKlSvx8ssv4+WrL8dXcUFdGwUDceXsyzsYfb5oF2ap1enUwaJyeSmfslSUFwyYh3HpY7G1vhCf/PAU7E216CqMEqvPxGpLKXA6nfj000/58pNGDvdvI2XnInVMOqAT0LutN6JMMQfcX3BqvqioKJ7ek9Xl2rRpE4S4eL5cb2096DkVFRUhxe1CqrejWRo+ut36hSW/+iMDnd5eab32+ssJDUHtYtfC2rvVbrXeJ+N0o4B+psBAefEYzL4zzjgDo0ePxoMPPsgj/YLR6/XtIvvqm4Ii6rqYsRkSbhhlQOm2dejvNfuErGwgxoyFpb8i3hiPsent2zat4PaO/9BRz33YQm0iEQqoySAIgiAIgiAIgiAIQvOwtJJXXXUVpk2bhuuvvx6Nb7+GP9kbYPGaWy6TAcefmQTjAfKe+VLbFTvVSDTFa/YxWltaMSt5Bs7bZcZpz36Bhtuu5BFyXYHJm3PJ4QZ+/PFHNDY2on///sj2RXQIAoTMLJizLTzco3+iWo/rcBkzZgyfMoPUZ/YpTY08kvGrXd8c8LMeqQt8juKIQIe41WnFF7u+wqKy3/lrl7dTWk8RKAShGYYNGwbWgn3pDbPrJQmY7rb51x9tGk/G5ZdfzgdbJCYm7tfA8NXsY7S21sPhcaC7YAMoVv32G0Z521lpyAgsLV+GVlcrZuZOh07UZtI7SuNJEMTRQGYf0WNxuVwoKyvjU4IgLRKRCrWFhJYgPRJagHRIaAHSYefD0lr+7W9/w7p16/j8ufnZuMns7dIwW+C65jo8e+MY7DQFOrP3JTk5maefK3Kq/0PK5WXc0GP7Y6noLjrjDAz94Ee+LrakEnB0TQe1yWuq2dwKPvjgAz4/b948KOUlfF5ITYes0yE6Jxo5Udk4+cSTj2j/I0eO5Jpcvnx5O7Nvfc0G/FKyEE2O5gOYfd4XMbEQe6lGKSNaH407x9yO2Xmz2pl9BorsIw4CtYtdywUXXIBHH30Urqkz/ctGtTSoM3oDhPTMkBxXNfsCbl+WPhktzoNHEoeK3Q0enPTcEiQ3uWH0DgqpHTwUC4p+QawhFuMzxkGrSCKQFS0g1rj/wStEz4faRCIUkNlH9FhYqgCWkmTflAEEQVokIglqCwktQXoktADpkNACpMPOZ/78+di1axfS0tIw/603cKPTa1CZLTD9/WXEn3s5Zg1+GJCPP2h6SxbdV+bxLrDboDTUY9myZTxt5VlwtttetjahKxicLOKEAh0Kt2zGtm3bEB8fjzlDB8OzdpV63lk5qLHVwGA04OzpZyMpKemI9j98+HAYjUbs3LkTLksUX6Y0NmBM2mgoUPBLyS8d3sPOY4A3QlIaMpzX5Ar+HLOis5AZncFfu7xpAindHHEwqF3sWpjpNmfOHMTnF6BSVr+jrFYpvxe5eRC8dU5DcdzgNJ4X9ToLSeaOEYBdwfadu1DkiMFsyTtwIzYOmwuMsLqsmJ4zDXqx62qzHil5cSJenGvmNQeJ8ITaRCIUkEtC9FgkSeL/BLEpQZAWiUiF2kJCS5AeCS1AOiS0AOmwc/F4PDxlHOOaiy+C7qkHgTY1UsR4132QeqtpLRcU6fDRVuNB98XMvnJvxzdDKSvB559/zudnGtp3kQgtLegKjsvR4boREl574Tn++uK5c+D5y+1AoxqFo5sxB+lR6XhsysM4PnvqEe/fYrFg1KhRfL6itU1daG3G4Ni+yI7Oxu9lS1Bnq2/3nr07dyJd7Fjbq9HRiDXV62ALSgd48RA9/nemGRnRFIFCHBhqF7sHFtG8xzfAwYtwDCk8D8W+aTyVLoqQ3h87t26E2WPHOIdag1WaMg1LG1cjxhCDSZkTuu28CILrkfq1iRBAZh/RY2GpVtra2viUIEiLRKRCbSGhJUiPhBYgHRJagHTYuXz//fc88i4rIwNzNq2CUryXL9dfdAV0U6ZhU+1mfLnrazg8rdB5U7UdiL59+2JP0L+Qrd9+gV9//RUmUfSbWz4Ua8f0lqHirbfewoYNG9A/OQlnr10CpbqSL9dfcDn0c09V5yU9LHrzUemRRfcxNjd5DUwW4bN7J07tfRI8igff7f3ev73NZoO+sd7/WbLIQgaru/X6xjfwzpZ3saNhZ7tIP70kQDzEZ09ENtQudg8pKSnY442+9RFs4Hc2er0ewfbehtKVmF/0M7qDwg2rMaS5CDpFbfSlsRNxzYArcc3Qq2CQDNAylS0yPtziwu4G6vMMV6hNJEIBmX1Ej8XtdqO6uppPCYK0SEQq1BYSWoL0SGgB0iGhBUiHnftZvvLKK3z+oRGDIC/7nc9LE6ZAf8nVkBUZ3+75Hr+XLYbbI0N3iMQvzOyrlIH1XtNMWPA9UhQPTh09EvtaVYXFahrNULO60oPnC+MQH5+Nf8bpIVRV8OX6cy6E/vJreV1BVluvqLnoqD/D/Px8vp8f96p1ABly4Rb0S+iH/gn9sLpqLcpayvjy8vJyZAf1FolZOfxzfn/rhyhtKcMJ+XMwLGWof/32eg+WlbnhCYqYJIj96ZD6cLQR2Sfmhs7s42k8g5qC4podWFqxDN1hpGxeuxLDrbsDy/oPwq87ZBTWJMPqDJykLxUxm764xolvdqp1XffF6d2uuFnG1loPb1OD+WmPG/U2BRUtMtZWenibKAdt0+JU0GhX+LHZsdi6oiaZL2Ow/bH5rXUe/FLswftbXNjVSGZfuEJtIhEKKPEv0WNho4Vyc3P5KEKCIC0SkQq1hYSWID0SWoB0SGgB0mHnsXTpUpSVlWFIdhZ6r1nKlwnZuTD++QFeR66wrhAVrRWYln08fiuKhk5UDmn2sTo5/25ow8vRAkRZxsVGAQOHDQF2rGu3bVH5ZgxG6Gloc6M1Oh+PiK0w1qnRhLozzoX+mpv5/7sN9gYeuTgxYwLyYvOOSo8zZ87EY489hpWlZVByEiBYm+Ep3AxWserU3idj26rn8PXu73DtsKv4550tBv7PZpF93+/9ERtqN2Jk6gickDe73f6/2uHGryUensqTimwQB9Mh9eF0k9m3jxEv5uWHNrIv6HDTUifgpLF/QFezZ88eWJsaMLJhK3/tSctClaENxbKE99Z68MI6GwYliciJFbGlVsbfJhvwcaEbP+xRAwrWVctosCm4YZQBvRJENDsUXP6NDRa9gCbvBfZPFDExS8JZ/dXaf8vKPXhzgwt2jwKXDMQYBIzPlHDLGDWK8KW1TvxWEnBeTRJg9wB/6K/DJUMNcMrAJV8HUiQzgppiIsygNpEIBWT2ET0W9k8PGX2EFiAtEqQ/gqD2kNAO9FwmtADpsHPNPsYN2alAoZra0njbXRCio/n8b6WLIEDA1Ozj8PMeQHeIjlGj0YiCggIU7tqFity+yCjejRONIvTWBuwbPzE9YTS6ArddrT84yJv8Tho9HoYb7/D/v8vqS90y8iaYdaaj2j/bD4u2GTlyJBYvXozK2HhkWJshF27i67OiszA6dRRWV6/B9oYd3OzL8rl2JjPWuPbip6L5yInJwfn9z+vwfzjr1GZLdJQ7ijiEDqkPp+tJSkpCsSzAoyiQ2HdXkiBkqql5QwFrY4PTeEYpEvRdkDKTlfn59NNPsXPnTp72ee9eNd3ziFY1ItoweAj+t+NTNLpbcePIu7GqUsb6ag821cpINguQRAEGCRieKqLNBSwv93CzrtamoFcCeDTe6HQJjQ4FYzMkHpX3S5G6zVn91XOYmSehsFZGRrSIsRkiVlXIMAf1vI9IlRClZ/cCaHUp3EDMixUxp0DdyCgJOKufDrFGgUf4MRNyQBI1rOEKtYlERJh9v/zyC2bMmNFhucvlgk6nQ15eHoqLi9ute/XVV3HVVVfx+bq6Otx444347rvvkJ2djRdeeAHTpk1rF8Z933338fewQph33XUXbrnlli64MqKzYZqora3lo5TYaAiC6C5Ii0R3QvojtATpkdACpENCC5AOO49ly5YhWgAG7tnOX4uDh0EcrppwLKKvsGEbhqcMQ4IpHv0SnXAdRirJAQMGYNeuXXhkVyn+pQePRpN//Iavq5MVJIgCr3kitbYdcB+PPPII75t48cUXeaTgseBobeI19OIVNXWc2LtvO1NEJ+pQEJd/zHo8+eSTudn3/a4iXG4SoJSVQmlqghAXhxML5mJdzXp8tesbyGUujPaGkyiZmfho+yeIM8bhyiGX87qB++L0gHeSk5FDHI4OqQ+na2F9n1EJCShzNSKXfU+zciCEsA+N9c8Fp/F021qwu3474oyxSI9KD9lxP/zwQ/z73//2vz7LIODWeAlwq+2qNGgoZmb3QU1DDWbkAnN7G+FwK9zsy40VEGMAesWLuHCwHiYdeDrOJHPAoM6KEfGXScZ2x7xhlAKDFGirJ2XrMCZD4gMfWA3TSwPZjjmzCnSYdYgMqpcN03YtQaLzoDaRiAizb/Xq1RgzZgz/wRwMM/rYjwL2Y/rrr79GWlqafx3LPe/jrLPO4qHab775Jnbv3o1TTz2VF7lmI/cY999/P5566in+l5WVhWuvvZbv67zzzuvCqyQ6A/bAZSOG6B8KorshLRKkP4Kg9pDQDvRcJrQA6bBzYLXjWB/AVTFGiA47X6a/4DL++ZZYS/Daxjf4suOzp/LpjaMPr5O0f//++Oabb7Cx1YaFFhHTDIHO2mIPYJZEWBQZDTUlkFsrkBGV0e79rK4Se3+Cy4m6d/+D5DPOgRAbd9TXabc2Icpjh0HxxhbGxbdbX9xcghRLMsw6tc7g0eqRDay++uqrse6NV1nXN1/n2bweuklTkWROxJSsSfit9Hc4Gtpwmte/bEyKhlt249ReJ/PO+gPVsdJTrjniMHVIfThdz5AhQ7B4zVLkQoZuyvSQHotFETuDXtvbmvHShlcwPWcaTut9SsiOu2mTGqnM+ndPS01A9jusnQsgDhqCYSl90Wxs9mvQqBN4tJ6PmfmBbvJky6HzZwYbfQdbRhD7g9pEIiLMvjVr1mDcuHHc8NvfuujoaJx00kn7/XHw448/4rfffsPy5cv5Phjr16/H008/zSP8mpubucn34IMP4uabb+brGxsb+Wsy+3oezABOTEzs7tMgCNIi0a1QW0hoCdIjoQVIh4QWIB12XlQfs7fOZh6eBxD79Ic0bhI21W7G21vehQIFlwy66Iij3lhkn4/lvfpjWtkOHlnHKJEVZEGABcCu0nWoKF+Gs/ue2e79ra2tcDqduDtKhOXtV+FsaoDx5j8d9XW2WRuQ4AokvhMSAv/nehQP/rXu38iPzcMNI647Zj0ys++SH3+ArbEUZkGA+9svuNnHmJ03C9NzpuO6F65EutfsK4p2Qy/qMST5wNULWRpPPRXrI45Ah0TX8uSTT6KttRVmtwtiUnLIzT6GS5Sglz0we0RIgoTKVjUNc6jYtm0bn54/fgwSnry/3ToWEW7PzeYDOUiDhFagNpEIBaJWI/sOtG7UqFEHHAW0YMEC9OnTx2/0Mc444wzMnz+fz7N0FXa7HRdeeGG79Vu2bOEjBomeBUvJyu4nmxIEaZGIVKgtJLQE6ZHQAqRDQguQDjuHVatW4QSDAIvH7Y/qW1T2O17f9CYMkgE3DL8OI1NH+Ld/bb0Tn25TU7YdKrLPx4Rzz4d0/Ez/6xIZaPamoItyKCixlnZ4f319PZ/28Q6flneqKUaPFk9zFdILP/O/FoIi++ps9XDJLmTHZHWKHlnK0XMvvQw/OtWL9CxfDLmshM9H6aMQa4iBu6IMOm+/yx6LE0OTh8AotU9fFwxLdZfFcq0SxGHqkOh6UyE2Li7kRh/DV2bH5U1vLDgcSLWkorK1KmTHbGpqQlVVFTJNRiT++1nAbgdEEcZHnoXlx6UwPfcy3t/xMe5d/ABabW2kQUITUJtIhL3ZZ7VasWPHDp7CMy4uDgkJCbjoootQWVnpj+wrKSnhKTnNZjM39X744Qf/+1kR6WHDhrXbZ69evXhaT4/Hw9ezERwsfacP9podixVwPRjV1dXYvHlzuz/fe1iOXR9sdJ/vhws7ZvA6Ns+WMdg2bNuDrWOpQXzr3G73ftex5b51bNmh1vnOjS33ndu+6/Y9b61eE9tHaWmp/5jhcE3heJ8i4ZocDgdvX9j6cLmmcLxP4XpN7B9m9pxk+w+XawrH+xQp18SWswFUNpstbK4pHO9TuF8T24a1i0yH4XJN4Xifwv2a2B/TIfudGC7X1B33ad26dRipU00kITEZjvHj8HPxL0g2JeG2UTfzaLfgc/t5rxsryg59TVFRUZg+fTo3/WbOnAnpwisAo5Hl1MJat4Im7znHuQSUWstg86YQ9Z036x9g3laM1xBTKiuO6T5ZayuQWrHafwx3VIz/vCusFXy7NEvaUd8ndlz2/wrTI2POnDn4XsdiF/nJwPHFx/77VFFdgdysgHHnzsrEiOThB72m/5tgxCPHG8NKe/u7T3RNx3af9vc7ke5T+GnPF6DhM/tkux3pUWlosDfAarOG5Jq2bt0KFk/4aKwOSm01X2645hYoo8ZBZscTBOxt2otYfSxqqqr9+6c2Iry019PacnasiooK3iaGyzWF433SwjX1WLOPjdpjFzNixAh8/PHH+Pvf/46ff/4Z55xzDl+/YsUKxMbG4tFHH8Xnn3+O1NRUXpOvsLCQr2dfjvj49rntWdpP9kGxdJ37W+/bpqam5qDnxoq8shzXwX8sKjB4VB+DfUnb2tr8qT18RiWDzbNlDLYN29YH+2eBmZ0M1nHLfgD5hMBqFbIUpAx2o9k6n9jq6urQ0NDA59l1snU+YbDlbD2Dbc/W+UTL9sf2y2DHYevYcRnsPNj5aP2a2IhE9ufbZzhcUzjep0i4JnZ8k8nER7CFyzWF430K12tioxizs7P5aM1wuaZwvE+Rck2sHWSDqNjvrnC5pnC8T+F+TUyHrF1kv+/D5ZrC8T6F+zWxfTId+ky/SL1P9T99j7YH/wK5aPchr6lix3a4a9X/y9k5s5Rs7ByG6L3G08DBiDJG44LcebgwZx6SzckdrsnhcsPttB/WNd100014+eWXeQ0xW1IKGv/2OIzPv4Y9gg6NLrUjJsouw+l2YsG2Be3uEzPOfGku+bHqaqA4nUd9n9h8jK9eHzuGQzWMGUX1xbwDKNWSctT3ibWLkiT598n21xQbj/Vub6fVkkV+7e3asQv50YGLmzX8MmRKGT1Oe+H4ferp18R0yAbcB/e/9fRrCsf7dKzXxLZj61yC2o44rc1It6TzZZuKNofkmjZu3IjLTAIKvO2/7sTToDt7nv+aam11sDpakCgk8Gcz02Kk3ye6pu6/T0yHSUlJ/DXdJ/o+NR9Ee0eCoPjUpAHYRe3atQsjR45sl5pz1qxZ2LBhA/8Csqg+1onk+4Har18/nHnmmXjmmWdwwQUXcOPulVde8b+f7Y+l9mQRgd9++y2v37d9e/sUGzk5OXjsscd4FOGBYF+8fQ1BFtnHDL+1a9dyg5LBGgfW4cpMKHa+zIH1h7C7XHw5+5HtG/3uz2W9n3XsfWxEDFvHpmy/+67zucFsHX+YulwHXec7N7aOLfOZE8Hr9j1vuia6T6Q9+j5RG0FtOT2f6JlLvyPotxH9hqXf5fS/Bv3/dDj/57JUauz/6xm5WZg9/yvA7YKQmQ3ji2/Do9d3+D9Xkj2wvfQ8lG+/AATA+JeHgInH4aeffsLz9/4Nn8SpxeAaL5qHrMtuP+j/uWf/rxVDU0TcP9V81P/nzp49G1fYG3GaUYQcF4cnbp+IFmcLxmWMxVl9z4SkiPj000+x5Lmn8Gh0oFCd+c2P4UnLOKr/3W+86WbktMTj5tIf1W0+mw99VBQ/t/e2fICVVavwyJQHYdFZOu13+fXXX48Bm9bgGrPaIW9851PoMrLw3HPPIevz93GyXgTi4mH48OtDXtNXuxTEGoHjMtXvCPVHUB8L9YVFbv/eb7/9hjvvvBMfpMcg094GcfxkbL/tMry56W38oc/ZmJQ9odOv6YEHHsDpi3/CYJ0AIa8A5pfegaDX+897bc06vLv1A5zf71yMz1JLP1E/bPhpLxy/T3RNdJ+2bt3Kg842bdqEwYMPXD/ZhzfDvDZgUXvBRh9j8uTJfMrSd1x88cXt1jHhs1SebB2DRfrta+T5RlSwNB1sPRuBty8sMo+tPxjsvexvf/i+yAzfF5fBvrTsb3/bsS918LZHu459Bj5YY9AZ6/Y9b61eE2tI2agZNgqC7SMcrikc71MkXJOvHWFaZNuFwzWF430K12tiP/5YpxrTX7hc04HW0TVp/z4xPbLfXkyPPkh72rtP4f59CtYhO244XFM43qdwvyamQzZYlOkw+Hx68jUdaN2+5/bqq69i89IluG2TCIjeNJflpXA98wgMN9wOITnF/z6WVnLdDVdgYFGgrIb94Xug/OVebNy0EYOCeizWJbuQdYjz9kCAUSce0zWxAcRWmxqhLra04P/G3oEPtn3MDbfdTbtx4cAL0NjQgHTvtflQqiqgz85t91kc7ufd1NiA4aJZfWG2wBgT419Xa69FtCGa19M71L040DqmR9//K75zY/OrvZF9/PzXrYaSnomFCxfibm8aPjEn77C0979tNuTGCpiZbzqs66U2IjKvaX+/E3v6NR3peUfCNVksaopgBxu9wXC5kBGVzgdz1Dlr/Wk+O/OaWPmmOO/hxF59uNEXfG57m4tYJk8UxOX7/3eO9PtE19T99ym4TfR9L+g+0ffpQP3OPTKNJ2uc169fv1+zjv0wZSP79oWt94U0Dh8+nKf6DM69unr1al7fj6XvZOtZ6Cyr/eeDuaNsWWZmZgivjAgVvg4cguhuSIsE6Y8gqD0ktAM9lwktEIk6ZINvv/3qK9wXJSHNa4ZZdWqnlue3BbBddAYcTz3E03qy/9ufuf4a9A8y+hgCGx3/yP1obf0Fgw3qZ6hIEmbPvOGgx2Z1mWQFkI7xY+dmn88D83gQI+txzdAreVRfk7MZ//v2cZz+1Xu4xdL+QLK3bt/RwPo7EpxqejUhPqHduuq2GqSaVYO0M/WYkJCA7R7AaTDy1541K3j2IjZAOt9bJ1HMyT+sfbtkBXqpvflJEIejQyL88HVQt3rNPqWhHknmJEiChMrWqpAck5UQ8Jl9QmzH8k1lLWU8MjrBmEAaJDQFtYlEZ6OppyzLl3/ttde2W/bWW2/x6YwZM3DCCSdgy5Yt7czBRYsWYcKECfw1q9/Hct6ykYS+cNqXXnqJF9xmjihLATpq1Cg8/vjj/n384x//4D9yR48e3UVXSXQWbLRFSkpKu1EXBNEdkBaJ7oT0R2gJ0iOhBUiHhBaIRB2ydFd///vfcaIeGO297F8VHS6vs2O3JVZd4HbD/cPXsF15Pn66+Q+YXb+Dd0q4ROCaQRYsOH0WPJIInazg9sX1mM1SSbIR8737wWCOPsTxgdP66jA6PTCy/miIiYkJmH1sv1Yr7084Lmsybh91C076aQ9iHM6Ox6+qOOrPjZl9iT6zLy7QUd3ibEWbuw2plv1nGToWPbJ+EFYlsDw5nb/2rFmJX37+mXeY++IKxdy8w9q/ywN4bxVBHJEOifA1+6pE9T4rFaUQISLNkhoys8/a2IAY7wCT4DaUH19RUNFaiYzoDB41RRoktAK1iUQo0NQT9oorrsA///lPzJs3jxt7LD3nv/71L5xzzjkYOnQor93HauTdeuutfBQgyyXP0m/edttt/P3Jycn429/+xtez1BNsVOHmzZvx2muv+Y/BavbNmTMH06dP5xF/3333HZ599ln6sdED2TfnMkGQFolIhNpCQkuQHgktQDoktEAk6nDp0qU8086jcayj1wMhIREDH3oWzhtvwvVxdpyZMwTXJsQDyxdDUBQcv7PS/96dw4Zj28I1eGL1Qsz3uPBglAg9BCRCdd2k46Yf8viSKOCq4UeX8qhjZF/A7bNWlGPb3iIUFhZi27Zt+EuxmuJzX+TK8qM6HhuwzFJ5Jbla+Gv2ufmosVXz6bGaffvTIzP7GDujY8Hj95oasfnrL5EXZNoJOYc2+1hEJcsGajg2j5WIACKxXYxks6/Cl8bTbodSV4u0qDSsrV4Hu9sBk06NKO4MWDpoM8/wpjZCQlxcu/X19gY4PA5kRmWQBglNQW0iEQo0NfaqX79++Prrr7lJx4pFf/vtt7jvvvvw3nvv8fUffPABxowZg7vvvhsPPfQQj+hbtmwZcnJy/Pv461//ys290tJSbv79+uuvGDt2rH89M/lYsVij0chTgLJtb7/99m65XuLYYD8Sy8vL26VtJYjugLRIdCekP0JLkB4JLUA6JLRApOmQ1VNnUX2MUVFq3TZxyHAUDBiIWx67FbFT4vFp43act7YQRbf/FZ7gVH6ShF7X3clTWbFO202WWGw99Vy+nKE/9yL+11W0S+MJ4I/XXoMbbrgBzz//PFb++MMB31ezd9NRHY/VoWckuNv8aTxLmmWsrPBgYXExWl0K6m1J/PXuRhaLp7KjXt1m37+KlsA266vVZctKHPhhUzWfsteNdoWXOlEg4DdLgX/7TKeIPpn9/K/F3Hy0OBWsKPd0+FtV4fFH9TEoso84FJHWLka62VeuBAxdVrd1Zu503DbqZuhFHZYsWYJXXnmFmx3HSlNTkz+FJ0OIa58KuaJVjbrOiMogDRKagtpEIuwj+3xmXHBNvWBYwcr333//kPu49NJL+d+BmDhxIr7//vtjOk+i+2GjwVitxeDipQRBWiQiDWoLCS1BeiS0AOmQ0AKRpsMvvvgCu3fvxuD0NJjbavkyaeAQPj1lzMnwmGR8tvJTbN22BZff/yD+FKPHSYJqSklTZyCxTz8+qLe4uBiXXHKJmmLy3POh2Fp5Cs/Docmh4OHFDhyXI+G0vvpOM/tiBAV9+vTByJEjMbihBli1aL/v09XUYnnFCozPGHdEx2MDlVk/dbwvsi8uHgv2uvHpdjcUDAGEVry1MRsCHJieK+H2cWpEzAdbXFhV6XXagrh0iB5nD1DN1H+tcqKqTb0YRUmAsJt95g78dZJRjewTdZiffiZujF2FtOZyjI5JRFlSL8C6C4reACEtAxVNCh5e4uhwHFZO8ZOzLGABWhcP0XMDkSAORqS1i5GK7/6WeAJtglxWgqxhI/2vb7nlFj4dNmyYvzTT0dLc3Iz44IjkfdJ4+sy+TG8aT9IgoRVIj0REmH0EcbiwtA++EUME0Z2QFgnSH0FQe0hoB3ouE1ogknTY1taGl156ic/fMnc28PkHfF4YMJhHbUiihLOGnYHTXjoFL7/8Mt588038p9mBybES4kxG6M+9mG9/5plnttuvmJl1ROfhcCvYVi9jQNKxJTBiZl9dIDgOKYKAy//yF94pbfv747zOXTClHgXZkoBYqxNfb/wIWdFZyI45/HP/4YcfEC2wzhm1Y1yIT8TkbB1yYtl1MA3N8W+bHhUIXzm9rw6TszvmzuydELj+y4fpYXN3PGZBvACrPR5QPEje/gnkYaOB38sxqnEb+nlDZIScfAiShLQoBbeO6ahlb3ksGCQBU3MkmHWUlpE4OJHULkYy/jSeLOxXlADZA6WsBB7FA6vTCoMY0EB1tZqq+FjNvvaRfe3TePaJ74NZuTORHpVGGiQ0BbWJRCggs4/osbC6BizlCRuRSAWeCdIiEalQW0hoCdIjoQVIh4QWiBQduhd8j+qX/olb7Y1oy03D4Jpy8FgzUcKy6Ebs3PIOzut/Dsw6M/8cbrzxRowbN46bg2tnTMeJJ8yBmHxs9eh8uOTOSSfJzL4GBXCLInSyjDQRyMrKgiLLUFYt59uscytY71Ywvk9vvLNtJx6JUk23rJImvBn7Fu4YfRssesthGaU///wzMoM7qhMSkB/vwZ7mXzEla9IB9zM87dBF8iZl6w6oR11CAgRFhrJzIZqHnooMAEYoMBZt5eulXr34NNYoYGb+wTWcFqWpCjGERomUdjHS8UX2tTmdEPIzoJSV8si+6pZKPLP6OZxUMLedJjonjWdQI7pPGs+CuHz+5zseaZDQCqRHIhTQLzKiRyPL+46rJIjugbRIdCekP0JLkB4JLUA6JLRAuOvw208+hvXJh5DSUItpBgEnNdfCs/hXvs6dl4vPS75HqbUMAk9SGWDs2LF4/fXXcfKFF3Wa0cfwZYzT+ULOjpKYmBgeY9eoV9NlZuolJCYmwrN8MZTKcr7sN6eC/9gVrJ86B+vc8MbkAbNb0lFnr8f7hR9CVg59/xcsWAC73Y45vfL8y8SC3lhTtRbf7f0eKypXIVR6jIuL41EFLCrmgy3bIO9TO0vM791pxyaIA+mQCD+MRqO/HpmYmeOv2RdvjMNxWZORE5Pt37Yz6jfyNJ7BAyZiA5F9rB3ety4gaZDQEqRHorMhs4/osbCRYGlpaTQijOh2SIsE6Y8gqD0ktAM9lwktEO463Lx5MzY+9yQMHjUqo1nfPjXf6ny1s/fSwRfBpDN1yTm5vR6C1AmRff4UdACyDXpuirk+/Yi/VswW1I8ci/vvvx/x8fFoUYC6qBi+LrO4DqPTRmFz3RYsLV92yGOtX7+eTycnejunLVEQ8nphbPoYXDzoIkzOnIhQ6VEURW74MX5ZuQrb5fYmqZivRvYRRGcR7u0i0T6yz8ki+7zpmOWyUkTpo3BW3zMxIHGA/6Ni23RKZJ+v3WdtaFBNyPKWCtz9+1/97TFpkNASpEciFJDZR/RY2OgcFvK87ygdgiAtEpEEtYWEliA9ElqAdEhogXDWIRuF/vijj+JMg2oO1Zss0L35CSxf/gzT86+h4p4/4tsJSZiVNxM5MWpUR1fglpVOSePpM8CKbXY+TYEMefdOyGtXqvs/8TQ89cK/ccopp3Czj7HXpBqEcuFmnF1wOp/f1bT7kMeqr69Xj1Gn1q2SBg7hdfJEQcSo1BHQS4FO61Do0Xf+jOqMQLSNL8KQIDqTcG4XCbQbSCBJapphJcNbv9Rug1Jf1+Fj6ozIPjWNpzovxAXaNAarE5gdk41YY6x6PqRBQkOQHolQQGYf0WNhPwpKS0s75ccBQZAWiZ4KtYWEliA9ElqAdEhogXDW4apVq+DZuQ1Zktq7mn7ldUhJS4NgiYI0aCiWpDnhkUSMTx/bpeeVahFx02gDRhxGLbuDMXDgQB6ZUuWNFIzxuOH87zvqC0GA/oxzOxiDhYI3UsnhgGFvEaL10WiwNxzyWKx2FOukNtfV8NfKoMH4oPAjVLRWoCv0yGqn+UiZfWJghcUCITW9U8+BIMK5XSTaYzCo0d6eoHZEKS/Bqxte521c56fxFPZr9uXF5uKmEddjcNIg//FIg4RWID0SoYDMPqJHhzunp6dTCgii2yEtEqQ/gqD2kNAO9FwmtEA463D79u3ID6qLJ40Y4593eBzYVLsZBbH5SDAFjKSuIN4kYE6BDr3ij62bw2w2Y+TIkagKCj7yzP+eT6WJx0H0pqULjoxb71RTfjLkzev5tTc4Gg8rsm9wkDe5K9OMFZUrsbPx0FGBnaFHn9kXGxuLoefOY8W2/PX6WOpSgugKHRJhnMozKcW/jKXyrGqrQmlLWZdF9u0LaZDQEqRHIhSQ2Uf06NQAJpOJTwmCtEhEKtQWElqC9EhoAdIhoQXCWYe7d+9Gns+gEkUIWWqqTo/swXd7vodLdmFk2kj0ZCZMmIAqb1rQYPRnndfutc/s29FshZCYxOc9mzdgTt4snNXnjMOK7Oun8/VSC9iTodY3HJQ4EF2hx6Qk9Zznzp0LY1Q0dDPn8te6KdM69fgEcTAdEuGH0TtwwJWQCIjelJ5lJTDrzLC5bAc0+2w2G26//Xb8+9//Pux0ryyyz1ezb1+z763N7+C30kX+16RBQkuQHolQQE9YosfCcr2zkZBsShCkRSJSobaQ0BKkR0ILkA4JLRDOOty1axfyvJF9QkYWBIMBla2V+Pua5/Fr6SJkRmdidOqoLj+v1ZUenPd5G34rdneK2VfpTePpQ+zVB+Lw0e2W+dJ4NjU3Qxg8jM/LmzfwlHHDUoYe9Bh2ux1tbW1Il9RuGWYWVspWSIKEBNPBo1M6S4/nnHMOzjzzTFx55ZX8teH2u2H+8Cvoz72oU49PEAfTIRHGkX2yAiEt3R/ZZ9Zb0OZuO6DZ9+6772LRokX4z3/+gw8//PCwjtV8gMi+FmcL1tWsR1lLuX8ZaZDQEqRHIhSQ2Uf0WNgoH4fDQcWdiW6HtEiQ/giC2kNCO9BzmdAC4apDWZaxZ88e5Hoj+8TcfD5dUr6Ud6jOyp2J20fdAove3OXn5nArsLmBzvjE+/btizqIkIPun+7M8zqktmQpuKKiovjn4u4zgC9T6mqhVFZAVmS4ZfdBo/oYGQa1U1xITkWNrQbJ5mSIgtgleuzVqxfuuecef4Qfuz4xObVTj00Qh9IhEb41+5xOJ8TMbH9kn0Vn5umefbicTrg++y/cq5ZxI/idd7z1UQE899xzqK2tPeSx7E1NMPra5lh1AAbDZ/JlRGX4l5EGCS1BeiRCASXKJnr0SKGMjMBDmyC6C9Ii0Z2Q/ggtQXoktADpkNAC4arDyspKONrakBUvtTP7Tu51EkanjUZebG63nZvH6x/oOsEnY6bXV999B1x3EdBQD8TFQzfzhP1uy1J5tra2ojk7F76YkpJl3+H5xG04v/95GJPePhpwX7MvVRIA5gkmp6DWVofByYPR2YSrHomeBekw8sw+FrkkZOcAq5dDLi+FWTKBeb2CQYDiVFBQXgTnwq94GuOvxk7j0c5Tpkzhxt+WLVtQXl6O5OTkgx5LsTYDatZQCEFm3/LKFXzaL6GvfxlpkNASpEciFFBkH9GjR0CwEZQ0KozobkiLBOmPIKg9JLQDPZcJLRCuOmT1+rLFwKjhojjA6rTCKBm71ehjuL1pN/XeFKPHCot2M0yfw+cNF18FweDtTd4HX92++rgEwKTW3IvdWcTr7kUbog64f9aZzUiUPXzqSIiFAgUp5oN3bB8N4apHomdBOowcWNSzL02nL7IPtjbE2VhDrUAwqt3RiU3qoAfmAA5b+gt0ooibb77ZnyLZarUe9DgsclDvsPtfC9ExfNroaMT6mg3oG98HmdHtI/uoLSS0AumRCAVk9hE9Fvajobi4uEOOb4IgLRKRBLWFhJYgPRJagHRIaIFw1SEz+3wpPBlfujbg693fQgv4zD5vCbxOwXjD7bB8sQD6M8454DY+s6/R2gKx/yD1fdt24sqhl2NAopra80BmnwWAyWv2WWNVozDVkoLOJlz1SPQsSIeRV7OP3XMhK8e/PKGulRscolEdlBFrC9Tv6ycBd48ait69eyMmJuawzL7m5mZEB43v8Jl9i0oX81TKx2dPbbc9aZDQEqRHIhSQ2Uf06JFCqamp/hFDBEFaJCIRagsJLUF6JLQA6ZDQAuGoQ9ZBu3DhQvRlaSe9zJp8OaZmT4EWcHnNPl3nBPb5EaKiD7reF4HS2NgIafBwPq8U7YbScvBO6taKcgwKkkdDtOqippg73+wLRz0SPQ/SYeSZfbxmX5DZF1tr9abxVLuj4xy2du+bWb4HSkM94i0W9JcAcUchFM+Ba582NTW1M/sQHcNrAi6rWMajpAcmtR9wQRoktATpkQgF9EuP6LGIogiLhY2FJIjuhbRIkP4IgtpDQjvQc5nQAuGow0WLFmHThg34azzrRlAg9uqD4fkToRUmZUkoiDciJ6ZrxzT7I/saGyEOGaYuVBQsXfAf7O2XhgsGzuvwHrmmCrO+eB+neQ0+RrVXLqGI7AtHPRI9D9Jh5Jl9vGZfeia7+YAsI6q2EUhhaTxVhy7B5eDTco+CTEmA0NYKxwvP4KJVK3BjjAR88QGcggfGm/54wAjpGCHg9gnR0VhVuRptbhtOLJgLUWj/PCANElqC9EiEAorsI3osHo+H/0PFpgRBWiQiFWoLCS1BeiS0AOmQ0ALhpsMlS5bg8ccfx1gdkAa17lvLzOmaqgEXbxIwMElCtEHoFrOPRZhIg4YC3o5ncesWrK1Zx1PJ7Yvr7ddgcaqd3D7qoyVe+zBaf/BIwqMh3PRI9ExIhxGaxlOvh5Cazl9bquoRb4hn40VgYJF93jTGP0MPZcwEPu9ZOB9xLc3+fckb1x7wOMzsC47sU6Kj8Wvpb7DozBibPqbD9qRBQkuQHolQQGYf0WNhRXVbW1v5lCBIi0SkQm0hoSVIj4QWIB0SWqCn6pCZevPmzcMt112HLQ/8BfVPP4KnbrgWt9xyC6qrq3FJkloPyW3Q45m4Tahqq4JWaHEqqG2T4ZaVbovsY/WihPze/HV2cQPcshs1bbXttpeLdsP9w9cd9nPOpGtx74R7IARFqUS6HonwgnQYmWYfQ8jK5lMW2XdT/+vh3OtAWlCPtJKaBsst/wcYjB32pTQ2HLbZt81RhhpbLSZkTOCDJ/aFNEhoCdIjEQoojSfRo388ZGVldfdpEARpkehWqC0ktATpkdACpENCC/RUHX755Zeo3bUT90eLyNmp9qDewGrzxeogDh6GPlvX82Ubh6YhISkb6VFqtIYW+GqnGx9sceGfs03IixO6xexjSIOHwb1nJ+L2lkNQclDeWo60qFQ4HA4UFRUh8aXnYN6P6SYYjAhVos2eqkcivCAdRq7ZJ2bmQF69AnJZCTxutQZfepDZ54xPhJiZBf35l8D11qtQBAErnDLG6wVu9imyDIGlAj2Y2We2oE9SP5zT72wMShp4wPOitpDQCqRHIhSQ2UcQBEEQBEEQBEEQBCoqKvAHo4Acqb1Z1k9UAK/R54q24PupWZiTMV5Tn5jb65/pujh/UUJCAp/W1dXxqeiNYBGdLhgcHpS3VGBEynBcccUV0O/chhdYHSoAhW4FA3SBz3lp+XKMTB0Bk65jNApBEESPNvuyctQVbW1YsesnGPKNyCh3+rdXUlLV911wOYTEZGxrsmLlC89zsw8s/XCLFYiN26/ZlyYE6vUZJAMmZWqnlixBEERXQ2k8iR6L0+nkIyPZlCBIi0SkQm0hoSVIj4QWIB0SWqCn6pCZfXmi2nPqSUlD5YPPQH/xlRCSU/zbfDknH5bkLM11qPrSd3a12eeLEikpKVEXRKupTvmsQ0Z5Szl2796Nbdu24XqLavQ5IeCdTDXdJ6MtPhr/3f7xfuv7RbIeifCCdBh5Zp/bG8XnS+PJKNzxC4wFJn9kn1tRoE/PULeTJOhPPgPiiNFoCGoOlSY1cnr/kX3eZ1aUBWUtZfB46wDuD9IgoSVIj0QoILOP6LHodDokJSXxKUGQFolIhdpCQkuQHgktQDoktEBP1CFLM8k6TrO8UX2Ggt7oPWkKDJdeA/N7n8P4+D/w201nYu2gJJzZ53ToRG1dm8fbMbxPUGLISUlJgclk4mk8rVYrhKDokyzEory1AgsXLsQkHTBE9foQde6F+Pv7H8Bw518h9uoD4//di2uHXQWL3hySc+yJeiTCD9Jh5OBrawJpPANm36nCCLQut/rNvioZiE9Mavf+6OhoNCqB+qtKY/2BzT7vfpp0Hjy96jk0OpoOel7UFhJagfRIhAL6pUf0WERR5D8ACKK7IS0SpD+CoPaQ0A70XCYiSYcejwelWzYj/efvIY0cDd3UmccU1cdQzT6lXSSGIOmwt08KfmypxeCkQRiYNABaw+VP49m1bp8gCMjJycGOHTt4dF//mFj/ukw5Ghsctdj1eyH+z+ztkY6OgX7eJXxWP/dU/scsvsC7Oh9qFwktQDqMvMg+XzSxkJHFGktAUZBQ3wa5TUZilNom1imB2qc+YmNj20f2NTTs9zjBNfvM8Sk4IX8OEkzt9xUMaZDQEqRHIhRQZB/RY2H/2DY3N/MpQZAWiUiF2kJCS5AeCS1AOiQiSYdPPPEENtx4Jdxf/Q+Oh+6Be+miYzL7EgXABKVdJEabqw3f7vker238DyRBwum9T4MW6a6afQxm9jGKi4shBJl96bKZR7bYqnaiwBtyqD/3onbRf7W2Wl7XL1QpPBnULhJagHQYuTX7BIMBQmo6n1cqSyHFSzB4TTrHfsw+NlimIRDYB6Wxo9mnKEo7sy86IR1z8+dAFA78ECANElqC9EiEAjL7iB6LLMtoamriU4IgLRKRCrWFhJYgPRJagHRIhJsO5aLdsF1/CRz/fAqKw+5fvnnzZmz54lPMMHj/rVcUOB69F3Jt9X47RV0/fgvXFx/z+QOZfdlBPQSC1+x7ecOr+KloPmINsbh8yKVIsSRDi1w7Uo/3TzMjSu1j7lJyc3P9Zh+CzL4kj5GnR42LlQKdMH36tXvvotLFeGrVM6i11YXs/KhdJLQA6TBya/YxBG9dvtbq3Yg7ORG+pprF/iUkJHRIb+iMMR3U7LPZbLx9jfHW7EPUoaPpSYOEliA9EqGA0ngSPfrHg28EJUF0J6RFgvRHENQeEtqBnstEOOlwwYIFaHz2Ucx1tEDesQ22335GgzkaNQ4niurq8ZA3DZofWxvWvv4S9vQexDtC2Z/dbsfA7ZswqXA930TIyoFuzIT9mn2ZQQXvxCz1/Ofkz4bNZcOotJEHjZjobgySAEPAU+sWs4+l8RRiYvzL4xwCjCYjhCB/VTBb2r13T/NeWHQWpJhDZ6JSu0hoAdJh5Eb2MXxRz0aHm0f6+SL7XPuJ7GNEDY6HdVctYpwKdu5dhaqSPkgyJaFPfG9Y9BYe1ceeSL7IvgX1KxFXthSTsyYe9LyoH5HQCqRHIhSQ2UcQBEEQBEEQBEEQGuTVV1/FZS1WQO9NAdlQj1T2B2AwW+CtT/d5bxPmFDtgcSko3vQjXqj9FbatbXBXujBdL+DKIFNQ3rAO2I/ZV15e7o/sU0QBm3X1GKLk8Bp9PYGdDTJanQqGp0ndm8bTaAIMRsDpgLHNgemWqVhUvBiI8p5XkNnn9DhR1lKGgYkDeO0/giCIsDX7vJF3zOyDYPQ91uCE0iGyj2HINqKpRESM0wNrTQm+3PU1X37bqJuRp8/jZp8lqNlsMQpI17MKqARBEJFLpw3Lo7ppRFfDfjSwkZPBPx4IojsgLRLdCemP0BKkR0ILkA6JcNIhS/GUHtSZuUYyoiImHm2x8ZBNJiArG7+fOR7vDIvCdkXdsF+bjOThqZh+ynT8a8JI3L9P9J+8fet+j8Ui+7K8m7bER+GtbR+gydmEnsKHW1x4cLGj2yP7giNYFGszrFYrzAjcRMEc6IwutpbwWn35sfkhPT9qFwktQDqMbLPPl2bT4FCX+SL7PKIEE3ueBeGSXRBSRDR6txksZeDmETfiggHzkGZJQ2VrJX6uWIjY6MDgDrtJhzRLykHPizRIaAnSI6FZs4+lBRkxYgR++eWXztgdQRwWoigiLi6OTwmiOyEtEqQ/gqD2kNAO9FwmwkmHtbW1SPfuYkN2AcZ/NR99PvsBKZ/+gJivf8XWJ/6C7wcbYKwxYkuLWhspp9GNN6c/ifvKnBhauIEva4WAOlnNJenYugGbaja1O05jYyOa9+7GEJ3asxqV2w8XDjwf8caOqdW0ilsGdN30r2FiYiIsFguam5t5rUYEmX1ltnLE9zEGNvZG9nkUD37c+xOf75vQO6TnR+0ioQVIh5HDwSL7DE43RFmBwRvNLLJo6H3Y07QXol5Eg1t9bonNVvSKL8DY9DEw6UyoaqvGurb1iE/StTP7kg+RDpk0SGgJ0iOh2TSejz32GLZv347kZG0W6ibCE0mSEBsbKH5OEN0FaZHoTkh/hJYgPRJagHRIhIsOW1paIFubEROnRi6MPvFkGAyGwHpnKz7f9SWi9dEY4O6HQo8aVSaxDtRbr4ansYG/FnLy8JolCcraVbjNIkDX2oZFaz7BwNkDUVZahlWrVuGrDz/EE2hDmjctqGPIePywayD+s86OXvECeieI6Jsgon+SCFEQ0OZS8P1uNxrtCjfYTDoBJh2QbBYwKVvtZlhb6UFlq8KXr6rwgJ0WWz8+S8LAJAlWp4IPNruQGSPA5QFsbmaAAUYJmFOgQ7xJQJlVxtc73ciJFSErCupsCpodQJQeuGK4+llsq/NgWbkHJVYZum5KhclScLJUntu2beOpPPvExoJ1UStWKxqTgIIkPVChdnrLJgN21G/H4vIl2NG4E5MyJyIvNi+k50ftIqEFSIeRw8HMPobFrUDdApBMQYMhvGyr3w5RlFBnl/lrd21Nu/V94/tiROMwbC5dD3ij++KTsmGUOu4rGNIgoSVIj4Qmzb758+fj0UcfxQsvvIC9e/diz5490Ok67tbtdvMIwHPPPfdYD0kQ/pQ2bW1tfAQlRfcR3QlpkSD9EQS1h4R2oOcyES46ZGk104K8KzEto9361dVr0OpqxUUDL8Dmfpvw0Q8LAiu9Rp80fjKMdz+IlA8+wG+rVvpXt61ag9MWnoHGPQ3wWD04p9WDdG9UX/W08fhxyClYsteDJLOAX4pl/FLs4eUBX5hjQlaMgNWVHry5sWOKUmYI+sy+n4vc+LXEw+fZntX4DCDFInCzL1oPbtLV2nxrAozPlLjZx7y7b3apEYvBxOgFXDFcnd/TpOB/29RtcmO7L+sLS+XJzD6WyrNvdIw/sk+ojAHWtzIXli97YPXTaPG08vn+Cf1wRp/TQn5u1C4SWoB0GDn4+oXbpfGMDjL7XMFmX6COqY+MqHQk2uNR3yYDZhFSWyscr/wTYnYuxKwcmLJygEYZ0UHPyLyMQ9eXJQ0SWoL0SGjO7GNG35lnnsnNvmuuuYaPZGPpP/Zn9rEG3ul0ktlHdBrMQK6rq+OjW4NHuBJEV0NaJLoT0h+hJUiPhBYgHRLhokNu9gV5V0JaOp+yGm+iIGJixnhYnVaMSh0JzwA3qhSgXlaQ6I3O019wGfSXXgNBkjBw4EC84QGY9cZiINL3NsE9MhrxBYmIMZlx7qdlQIsLZQlmvDhZj95iCR6aOgzDUyU0OxTsbpSxs0HmkXVZMUBGtIjHjjci2SLw9JkON4vMU6P8fFw2zIBpeTKP/huZJvFoPGbsxfgKNQF4YroR5S0Kj+az6AXuhzk8QLq3Bzc9SsCrJ5pQalWgF8HNx1ijAKfqIXImZUkYkmwCy/aWaOqeyD4G6w9hsMg+X80+WJvQaoiHyaVws89jNCDKGIXJqZMxMmUE0qJSu+TcqF0ktADpMHI4VGRftDNg9uktgTqmPsakj8Y6ZS2KlcAgFfd/3223zblGE75O0AFOdcBI3yzvCJCDQBoktATpkdCM2bd582Z8/PHHeP755/Hyyy/jggsuaFeMmiC6AvZPc15eaNOdEMThQFokuhPSH6ElSI+EFiAdRgaKovjTJ4arDsvKypDhNe4YnpQUfLLtY+hFHc7qeyYMkgGn9DqJrxswYACfvmRTcOeQvoi5+Arops70v5eZfU4WBacI6CMoyN9pw6TBM3H62adD+nk+Elv+y7f7efQYXDjofIxOHeH/bJm5NiJN4n8++iQcOoKOGXNJ5sB7GCwq0AfbP4vyS+kY1OGHpQxNi2J/B96GnR/7625YZJ/P7ENemj+yz2qwwuw9PSkqBneN/VOX65baRUILkA4jB98glwOZfXEONT0nQ2/ZfwN/2mmn4aO6Oixa+D3y7a3I0ksQ5cD74hx2nBTU9iekHvqZSxoktATpkdCE2cdq8w0fPpznlV2wYAGmTJkSkhMjCIIgCIIgCIIgiGDkulq43nkd7vnfQpp0PIx3P6BZw+9YYZF96T5PzWCElJiM6pJq6EU9PLIHkhgw0lh9wDlz5qCmthaxL77I/18PJikpCampqdhirUEfo4h+ItDSfyyGeZJg++Abvo3VHI/iUX/DdWlxXXqd4YLP7GODoIUh/dSFDgfszc1+s08wm8NWrwRBEPtG9rHIpf2l8Qw2+3L79Gn3wf24dz42123G5UMuxc133YUP8/Jw0dNP4+QT5+C+66+DXFoCx713sp0jwaEO/FFYhjnzQUaOEARBRAhHnNA+IyMDr7zyCvr27YtTTjmFz/tgNfsaGtTaAAQRatgIITbatV0OcILoBkiLRHdC+iO0BOmR0AKkw/Bi1apVvGzEwm++Rtsr/4TtkrPg/vpTwG6H5+cf4Pn5R4SrDsvLy5HujewT0jO4uXflkCtw7bCr2xl9PtjnxP4/39fo8zFy5EgUetNfWgQBA80GOB6+B2hT68e9MeNO6Eymoz7fSCc4jSe8NfsYsrUJZq/BJ+ynNlVXQO0ioQVIh5Fdsy84ss+yx+6fz+vd3uzzKG40O62I0avt6KhRo/h09dp1EDKyoBs3EUJcfLv3iHEJhzWQgjRIaAnSI6EJsy8mJgZXXHEFNm7cyNN43nPPPbj44ov5aI1TTz0VycnJMJlM/Ifu+PHjce2112Lp0qV094jOF68oIioq6qgL3hMEaZEIB6gtJLQE6ZHQAqTD8OGDDz7ArddfD/03n6H/Mw9CYfV6HA51pU6NGnC+8jwUWxvCUYfM7Mvwvt2ZlAC37IZFf/SRYaNHj0YhK2znJfnNlyBvL+TzurPnYXnuZJiOqtAHwYiPj0d0dDRaW1vRFnTfxdZW+C0+c8faVF0BtYuEFiAdRg6HrNlXzhJLq8heY9DHiQVzce+Ee/yDWvr06cOj1ysrK3nEOye2vdknxB1eRDppkNASpEciFBz1fx7sH4xLLrmEj7Rkf2eccQa++OIL7Ny5E+vWrcOnn36K22+/HS0tLZg6dSrf1mazde7ZExENG7HK/qE60MhVgiAtEpEAtYWEliA9ElqAdNhzYLXgt3z8IRx/fwLuJb+hzeENO/N2ED732vv4W6wZN5hFxHoj3Da7Fdxi9eBZp/paqauFe/kSVLXKcHoCRhajwa6gulVNFVbbJsPhNbrccvvtfNjdCmwudZ3srQkYDNs/26YrdOjxeNBSWoJe3revMtXjlQ2v4Vhg0RF7ZcDuvTaltJhPxX4DIV5xIwYliciLo4GUx9JH4kvlWd0WiFqJVmRESernKnRTmjlqFwktQDqMbLMPQWZfYtCjZlPzdngUD77c9TX2NO3hy4IHtTBDhEWmM1avXr1/cy/28Mw+0iChJUiPRCg45nF7rOj4Tz/9hIkTJ+Khhx7CG2+84V83duxYzJs3D9dffz3O/n/27gLKiatvA/gzE113VxZY3F1LqUBpS0u9pe7+1t62X+WtU3d3d+pe2kJLgeLutsC6sC7R+c69yRpWLJvZzfM7Z5kkM/GHm0z+c+899VScdNJJ+PVXfQ6zQu2P2+1GQ0OD7EnK3n3ELFKgYltIesI8kh4wh+1DRUUFbrzicrxnccGpaHJozsKIFCSefSaCjz8RP68pQfWYuzFszo2ABpRGpuCTYZfAHuVAzYyP8eOWrbg+0gCj5sZXP67GB6UjEWwEUsJUPDHeIn8oXFnswhML7IgJUlBWr8GgAEFGBUOSVNw41CIfx6P/2LCsyAUVCqodGsTPi6FmBVcNNGF0qmd3+dIf6yHqiKJ4KOqEQUbA5QaeOtqK9HDVJzlcvnw5BjsbYDB7rrsiOxL9o7sf8r57RHQ0Ntor0Kfxl4DgEFjuegiqxYxp4w7p5sk7lOeaNWuQX1WNFO8rIiISIjPg8tucUmwXSQ+YwwDv2Scus1hkD/3YOBNQ6TnAZ0Xlesxf/jo2VmxCWX0ZOkV02mPP9D///FMW+8SocsquPft2Ob83zCDpCfNIvnDAex2lpaWycPfPP/80XZaamoqPPvpIFvz2ZPTo0fjuu+9www03HNqjJWpBDB1bXFzcesJfIj9gFsmfmD/SE+aR9IA5bB8+++wzHKfZEaY095RLrMwDXnkKdWdPxuo/lyOrcCHMmue7/m/Dz0XpoKNwwomTcOfTd8EyLgJ5EZ6KVZed8zGxk4q0cBVVNg013t8Wu8WoGJtmgMUAHJ1pxKBEAzIjFPSIbe5tlxqmokuU6NGm4Ig0A0amGpAUoqCxY5+maXKbaKsoEhowLt2A7GgVfeMNMKm+y+GsWbMwzuTp2dAQGYbc1DD0jDm0Yp8ogA4ePBhrW/ROtNxyJ9TkxrIUHarGnn1rS8uaLktVFQR5s6L4aRhPtoukB8xhgPfsazGUZ4S3F71gU12y0DciaTjO6zl1j7cnin3CkiVL5FILC2t9u7vM4bc3zCDpCfNIuujZt27dOjncyqhRo+QwIMcff3yrIxXvv//+vQ5DIo5snDRp0qE9YqIWXx7EztTBzllBdLgwi+RPzB/pCfNIesAc6p/YL/z6s0/xmsXzPX5DSAp+qqrAWcYGJGguoKYa5/79IioKdoouUXKbC0/qBUNXK77Y+BX+zpuD8O6h2LSjDhmimFK8DW71Ldw1aioiLM1DeSWEqLhlmKcH395M7SV+kPT8KLknYl/j3jF7vo38Gje+3ejAiBQD4oLVQ8pheXk5qqur5ZxvwbU16PXrNxjg3Vtf1yMe4dZIJAQn7Ndt7ct1112HP5ISoBRth2nIcBjHHiUvFz0fP1/nwNAkAwYmcpqEQ+nZJ8xcshTHuzXEqAo6GwBr4wZ+6tnHdpH0gDkMHHsr9iE0DNhZhog6zxDbwoDkoRjcfSgGJ3oKenvStWtXhIWFyblsxbx9wUHBrX7Q3t85+5hB0hPmkXRR7BO99ETBb9WqVXjhhRfwxBNPyLn4xJfaoUOHyiMf91Tos9lsckl0uIgdZxb6SA+YRWL+iNgekn7wc1n/xCgxqTWViAr1FJV+HDQVS7f8hq9XLcSlVhVTrQqiqipwrtVTKHOL+fq8Pab6x/VDsDEYM/9WsXp7Lo4KVhFS50Tp9jX4zvoDzu1xTps9j0073XhjuQNRVmW3Yt+B5PCXX37B//73P7m/PMoI3B6sYrR4zt7rz+sRhm5R2Ydl3ycpKQlTr/vPbpeLIUp/3OyUQ56y2HfoPfu2bNmCLSEqYlSgs0GB1e32a88+toukB8xh4Nhrz77gEDEyN6JaXDY4fTgMiZ45+famcd6+v/76S/buG2K2ti727eecfcwg6QnzSL5w0LNv9+7dG6+88go2bdqECy+8ELm5ubLQJwqAn3/+eau/L7/8Ej/88AN+/vnnw/voKaCJLw3iiJ7djhQiYhYpgLAtJD1hHkkPmEP9E/uQmaKY5RU3Yihef/FZXHjxxfjIDlR7DyDtJCbZE1NJxASjBnZ5unNkFo7rNAH9s/pjo5hIz6tfZTBWlKxEg9O22/1pbjdcG9dBq687rM9DDBsqbKvUDjqH4kfLe+65B6rLhdtiQjEt1IBw72uzLSUT6++8FnnJYege3Q2+1OAd2tPKTn2HpdgnbPLmUxT7DPLnbf/17GO7SHrAHAaOfxvGs9VHjcm8X7fZOJSnmLevznv7BzqMJzNIesI8kq6KfY0SExPx5ptv4tdff8WcOXOwdOnSw/PIiPbjCAiLxcLefeR3zCIxf0RsD0k/+Lmsf6LXU0bjL33Bwbjs6FREhZhx9dVX43+PPIKvm0f3kuJ6Dms1PKfQs2dPbGwxcMyAmRsQUVyJFSUrmi4TB6N+9dD9WD9hNBquugANt1xzWJ9HSpgCUZfbXuU+6By+8847CHE58VF6LCa56j0XBofAdNeD6P7Ox/g5OA9BxiD0iO4BX7J5X0urkVMkHIrw8HD5J2zZw8BG/uzZx31n8jfmMPCKfbvNW+st9u2y8X7dpphKqrHYV6vuMlBd+P4V+5hB0hPmkXQxjOfejB8/Hps3b0aQn768UuAxGo2Ijo7298MgYhbJr9gWkp4wj6QHzGH7KPZN8vbaU9M7tSqIZQ/phucnxuCs33bC5O0MZc7K3u02unXrBlEa2+jU0NWoIG5HAc59rwTnfnozQqqDEdE5EhFQcP/azQjz9pRzr18DraYGSugefmw8CGaDgqQQZY/Fvv3JoZgOY9GiRbjMqiK+qlxepnbvBcudD0JNSsbykhUoqS/FMRlHw2rc99yDh61n32H7hSCwe/eJaU82t+h52sRPPfvYLpIeMIeB9V7vsWffHj5/FfP+fb6Jz/2QkBDk5eUhp7wcmQcxjCczSHrCPJIue/aJeQW+/fZbOZn43gp9Ymdu4sSJh3pXRK243W40NDTIJZE/MYvE/BGxPST94Oeyvon9x23btiHDuyeaE5GB+/+2we604/stP+LpJc8isW9nvBTePKyXoVef3W5H7HveeOONuLdBwSKHp6gSW+eEKacOpaWlKI0tw9G2vKZCX6M7LzzvsO4/ZESoKKzVYN+lsLM/OVy4cCHsdjvGB5ubCn3Wp1+VhT635sav236DUTViTMoo+Fpjzz6LtwhLhz6U5zY34PQOSdtI8VOxj+0i6QFzGDj+bRjPXTber9tsnLdPmL1sRevbjdi/Yh8zSHrCPJJui31TpkyRc/btjc1mw6xZsw71rohaEcMBFBYW7j4sAFEbYxbJn5g/0hPmkfSAOdS3HTt2IMjpQLS3CJcTlo5lxRvw+OKn8Pv2P5AUkoQ7Rt+Omz/6DeYbbof5mpug9vPM07OrqVOn4sZHH8NX9uaC2qCkRDlf/P0jLsJx2zzz/JW6mwsuSkGuLAYeLv3iDRiVYkCd48ByWFVRgaXffo0RRiDW5bmycdzRULw/epY3VKDWUYvRyaMQZg6DryWFKpjQyYjEUBb7DlVaWppcagYDnEmprVf6aSQktoukB8xh4PXsE+95q4Ne9ljs2785+1rO2/f3ipUHNWcfM0h6wjySLxzyIB1ms1nOhSCWLQ0bNgxWqxUGg0EOT7LreqLDcaRQamqqzBiRPzGLxPwRsT0k/eDncjuYr6/FIadbIzW41LdRabPgxKwTcETaGBgU7/f7E6b86+0lJSVhR4u50XpGhSMhIQERfy6AS9OgKSr+r9aBV8IMELc6IdGEnJf/h5Br70VITOIhP5/jOhvl34Hk8PfXX0Hnj9/GpeJ1CG1ebxg+uul0TFA07hx6O1xa24xi0iPGIP/o8PXsS0lJQeiAwXD+lOf3OfvYLpIeMIeBQwzPLd5v0bNPFDQafxNWQnc/eKXxIJcDKfY1uN2o01QEi2HARbHQun9tKzNIesI8km569onxkTMzM9G9e3c5MbpoxM844wyMGjUK55xzDkpKSuSQJP369ZMNce/evZu6cBMdLiJ34mihf5v0nsjXmEXyJ+aP9IR5JD1gDvVf7MtsMVTkhrAdUGHGrUNuxvj0cc2Fvv2UmJiIAjfg9g6X2MlignPBXLgWzpPnTcefhPygUBR4h9kcVOlCr9lLsfGBq1BYW4S2zqGYAiP/vTcRt8ueuJKSCjU1HSV1pVhUtNjz2A0mn8/VR4ef+B0kODgYI0eOhNqjV+uVVv8M48l2kfSAOQwsjb8Dt+rhHhKy+4b7OWdf47x9on0VKt3N8/Xt7++CzCDpCfNIuin2iYZ6+/bteOihh3D//ffLnn2i2Hf++edj5syZeOutt2RgH3zwQTz++OO4/fbb2fuKDjuRw6KiIg7jSX7HLBLzR8T2kPSDn8v+c+utt+KSSy5BbW3tXrdZt24dOnnreZrZjLyQClgNfREbFHtQ9xkWFgZjcDCKvCN1pridsL/yrOdMcAjMF14hD1TdvksHuaw1BXj9r8exqnQ1DoXYF35moQ1vLPMMGbqvHIrTr7zyClJazCOoxMXLpXHCifK2Plr3MT5Z95kcxrMt/bDJgTv/bEBFQ+s55ujAiQL0b7/9hptvvhmGHr1brVO8P1K3NbaLpAfMYWAO5dly3r5DmbNPEL3l+/fvL09Xagc2X5/ADJKeMI+kq2E8RTHv1FNPbTp/+umnIysrC3/88Qfi4z07LPPnz0dISIjsCUjkC2KCXiI9YBaJ+SNie0j6wc/ltldXVyf3BUcagZypU5CVnAzjhBNgOum0pm3EvD2LFi3C6d6efRUpsXCrCkKNQ3Ao+6WiuJJXlIMkFUjatlkWzQTzeZdAiYzyFPs2rcZIU3ORzeDWMHBZId4MehsTM4/FsRnHHNSIIeI6m8o12JxuXOr5/XGvORQHxhYXFyMz2gy4XTCMHQ/L7ffCvS0Haueu8rbO7n4WSupLEGXdv/mHDpcd1RpWlrTNkKGBoGkak/TM1iuC/FPsE9gukh4wh4HXs69VsW/XYTxVA5QDnJpn8ODBmDt3Lta7NHQ3KlC7dj+g6zODpCfMI+lqzj6xE7Vy5cqmnaKqqiq89957sFgs8ojOyy67TK7b26TkRId6lFBcXBxfRPI7ZpGYPyK2h6Qf/Fz2j9zcXLm8MVhFfE0l3BsqYd+0AYYRY6DGJ8h1a9euRX1NDbIjPT/s2bIy0DO6O8Ym71IQOUBy3r6CrRgMBYq30CeGxTSefIY83alTJ+TsoY51xKpqrD1qIH7O+RXZUV3RKaLTQd1/eriCv3PdaHBqsBqVvebw448/ljvg8d55+NSUNChmC2rSE1FZk4e0sFTEB8fJv7YmHrtg4bR9h9WuP2L7a84+toukB8xhYNlTsW+3YTwbD4w4AAMHDpTLF+s19LviKvQ89cz9vi4zSHrCPJIvqIdS6Pvqq6/kUC2NHnjgAUyZ0jyJ+ooVK7B161Z5BCPR4SYyaLfbm47cJfIXZpH8ifkjPWEeSQ+YQ9/666+/cPWFF2DnGy/BtWZl0+ViNBfxE158iyEqRe815zefN50VI7+IITwbf9pLH3QsHhh9OY7JMh1ysS93l2Ke+fLroXh/aOzatSu2e+fsE3YaPY9AKSrE2fWdYVSNKK4rOej7Tw/37FbvqNL2msNVq1bJ/eMuYSEtCpJpcvlPwXw8veRZbKrYDH9p8B6fazmkw4FpT0TBu4nF6pcXie0i6QFzGFj22LNv12E8D2AIz0bdu3eX8/bZxJkBQw7oIApmkPSEeSRdFPv+97//4eGHH5anf/jhB1x77bXytBiO5OWXX25V/Gvs8Xcww6EQ/RvxhSE/P7/1UUJEfsAskj8xf6QnzCPpAXPoW1988QW6b1wDyyfvouHGK+D86/emnn1pe+gV5vjha2j1dU3Fvu7eITwFQ7cDG3prn8W+FsU8dcBgGEaObTo/YsQITP6/u1DUfwh+tbtxf1gCYLHIddEz52La6AcwLGnoQd+/6NknbK9y7zWHolefcOrI4c2PMyVN/tCzuGgpQk2hyIo8uJ6Fh4PN5enVp3Lf/bCz/PduGI+bDMsd90Px0zQUbBdJD5jDwLI/xT7lIHr2id5Q5557rpy7TxzMcyCYQdIT5pF84YCP27PZbPjss89kAe+FF16A1WqVOyglJSW49NJLMW7cuKZtjz/+eNkIi/kbiHzxxSE5ObnpCwSRvzCL5E/MH+kJ80h6wBz61vbt2zGhsWDncsH24F3AbQ7Zsy+tRa++t2xuXGxRgZpqVLz0OLYddRKWLl2KI62ebWxmA5YbCvDuT0noFWfA9YMP/Ae/RmLOvlUuoEo1IDwkBJarbmx1wKk4fdLJJ2Pn2LF46NhjEV62E8bjjoHzl+/hnjsbhvJKICb2oO8/I0LdrdjXMofiwNjffvtNzssytmtnYP4suY2amoa8mnw5R9/olFEwKP4bQ9Pm1GBpUYilw0cJj4Dl5jv9+pKyXSQ9YA4Dyx6H8QzeZRhP08F99l9++eXy72AeE39HJL1gHskXDviwskcffRRLliyRp4OCgpp2onr16oVnnnmm1bbnnXeenLvv9NNPP1yPl6iJyJ6Y+Jw9R8nfmEVi/ojYHpJ+8HP50Ih52GfNmiV7pQmO6R+h7uIzYXvmEdi3bZVFveSWe5FuN2yP3Iuk1cuaevZpioJfTozB2hjPsaXmn37EF5/dDkufIIyMi5aXlaXGIDu6O4rqNNTaD21Y/uHDhyN7wECsuv7/EPzOdKhZXfa4XWRkJAwGg3yO2oQTvI/fheofPsdPW3/BtqrtB3X/iSEKLulrwpg04x5z+Pnnn8PlcuGoo45CaFWFZ4OgYCAyGkuKl8qzA+P7w59Oyjbhgj48iLKjYrtIesAcBpY99uwzGNCgtjiw5SB69h0KZpD0hHkkXzAebBhFb7709PSm8zfeeCNOOukknH322bIIKJx55pkIDw/H5s2bZZGQ6HByOp0oLy9HVFSU7EFK5C/MIvkT80d6wjySHjCHh0aM3vLll1/K0wOTEvBkQxlUTYNzew5cC+bC7XYjyeCp9tmzusJckAfU1+G0gq2A1XN5VWQQDDHBeNhUi7fMZhjtdly+rAI1vZMQs81TREwfehxUSzTcWj3Mh9ihLSIiAq+99tq/bid61sXGxqKoqAg7Y+IRldUF7i2boPz8I2akZcOtuZER7tnHPRAGVZHFsj3lUOwbi6FPBbGv7P7w9eYhPKFhafEyRFmikBGeAX8aluy/XoXke2wXSQ+Yw8Cyx559Yo5YVYXV7ZKnG+fWbSvMIOkJ80i+cFADxosjIu+77z5cf/318k8U/sRRi7fffrucKHXu3LlyuyeffBLTpk2Tc/kR+YL4sYFID5hFYv6I2B6SfvBz+eAtW7ZMLsV0DcdWFstCXyNDcZHs1RfqHd1lS2IqrI8+t9uwXEXRFnSp74xt6+rxcUiMvCzaruH+DdVN2xhHj4PD+1Xe1IbDR8bFxcllSWkpjMefLE8biotxszIWEzsde0i3bXNpcLm1Vjn8+eefZU9CMRJO7969oW3dLNcpKWnYWpmDClsFBsT3h6r4Zy43ChxsF0kPmMPAK/aJgkZL9S179h3kMJ6HghkkPWEe6XBTD/bIybvvvhu33HILbrjhBtmzTxT1RA++nj17yh2azp0746uvvpJDlvz0009y2BKiw0n05ktISGCvPvI7ZpGYPyK2h6Qf/Fw+eGJ+9pycHNkD7pd33sZEq2f0DFeLgt9QY3Nh7ou/5+LO9z7EH8Oa520XnMmJGN/Jc9kbW3Pxl3eYTrXGU+xT4uKhdusBu3cX8VB79h1MsU/07jMedZyoasrzsYtXHdKceT9scuCMr+qxqdzdKoeLFy+W508++WRom9ZD21kmzxv6DmgewjPBv0N4Cpf9WI9H5tn8/TDIR9gukh4wh4GlcQSuXXv21bc8uKWNh/FkBklPmEfyhUM+fNBut8uefaLxDgsLw/Tp03HnnXdi48aNWLFihZyEXVy265EcRIdK5E7kSiyJ/IlZJOaPiO0h6Qc/lw+eOHhTHGGcmZkJ45cfQ/GOovFgXfP37WGm5mJfboIbs7f9jfu++ha5ruZtMroOx4ABA5rOzx8yCoj29PATDKPHyQNGHd5ecKY27NTWrVs3ufzrr7+ghIZCzewsz7sKcrGmbC3yawoO6nZDVTsKi4rwwgdft8ph49yHnTp1gmve7KbtleEjsbJ0FeKC4pAckgx/K2/Qmoqv1PGwXSQ9YA4Dy96G8WxV7GvjYTyZQdIT5pF84ZB3q8TwLjNmzEBGhmeOgZCQEFgsltZ3oqrIyso61LsiakV8YcjNzd3tiwNRW2MWyZ+YP9IT5pH0gDk8eOvXr5fLYWkpcP72kzxd3XcgZjs0NA6eP7TFVNmZ547AkDOGYcKECfggIqHp8pih45GUlISBAwfK/cCb7rkPllvu8qxUFBjHT5Anwy0K7httwbGd2m7+7UmTJsnlH3/8gZqaGijxifK8q6gAr698E/MLFhzwbS5fvhwP334NdpbthGvOn6i+/T+wb1wv91Xy8vLkNuL1cM37W55WO2ejINiNans1esf2lIVPf3JrGuxuwMJp0DsstoukB8xhYNlbsa+2xWee0sbDeDKDpCfMI/nCQX+dr6urk3MOzJo1C0cdddQ+t509ezZuvfXWg70ror12d05MTOQwnuR3zCIxf0RsD0k/+Ll88DZs2CCXx9WUiUlE5GnL+ZfC8ddCFGsKEhUNxsYf6cIjcMURNyDEFILIKZHyIteShdAcdhi6ZMvzr776qjxqWRz8iaEjoTz7uvhlA4YevT23bVAwILENx/AEkJycjMGDB2PRokXyoNVJCZ4ipVpahjBTf2ys2HRAP9K8/vrreOedd+RcfWoPGx7fOR/YCbgb6hF9/xPY2aDB1Xk8SkodCN3kKaYaRo5BYW0hFKjoEd1DvkYFtRqCjAoiLaIe6nmNi2rdcLqBlDAV+TVuRFoUBLfoWSmKdKJzpFFVmuYMbHxdW25T6wCq7RrighQYVcjzoebmbWzeQXisbTh3IrUttoukB8xhYNlbsa8Oil+H8eTviKQXzCPpqtgnAinmczAY/n3n7M0335S9/c4+++yDvTui3YgfDUTPUiJ/YxaJ+SNie0j6wc/l/afV1YpqkBzOsrFnX4oKpG/xFP0MY8cjst9AhMWFIT/cjsSyFlMzJCYiJTSl1e0ZBg5pdV4UrVr2WjP06ttqvdOtocEJBBkBg7dg1RZOPPFEWez77rvvcMIJx3oudNjRy5iMf2o3oMZeg1Cz5zXZl9tuu80zHKii4OKLLsQ/27c0rXOvWo73V9Sj+tjHYDKbMPPzv9DJu84wfAyGJPbA60s749G5Zji1BlkUFEJMwMPjrMiMUPHndhc+WO2Qp3Mq3bAagMxIFZf1M6NrtIoqG3D+9/XyOiEmBaX1GkS9rmuUiofHWeTjErfx9EK7vO1QkyJ775XVaxicaMD/RntG5Hl5qWe9d4pG6oDYLpIeMIeBZa89+1oW+9q4Zx8zSHrCPJKuhvE0e4++uOKKK3DDDTfg2Wefxfz583ebm++bb76Rlz/44IOH/miJWhBZ27lzJ+eDJL9jFon5I2J7SPrBz+W9a5zrWnO74fjqU9SdMQl155wId1Gh/DFO9Ow736pA8W5nPvcSWTCKPSIe+ZGtK0HuBM/wl4diXZkb53xbj5+3tO387uPHj0dwcLCcY75UaT54tZvD00Nxc2Vz0W5v6uvrZaFPHAT72muv4ZprrsHksj9bbfPtRiegudClfC5OLJsnL2uIiIXatRscLg2dIoIRYjYgwqLg+M5GTOhkRKcIFTFBnh9Cj+tsRLdoFdur3BidakB6uIqCGk320hPCLZCXd4lSZbFvSJIBveMM2FGtweadfy8jXJXDpJ7U1YjEUEUWVsemGdAnrvmnAHG7w5MNGJ/Bal9HxXaR9IA5DCx779nXTGnjOfuYQdIT5pF84ZC/zYu5+srKyjBv3jzceeedcmdnypQpuPbaa2XDfskll+Dmm2/G6NGjD88jJmrxY4XNZmv60YLIX5hF8ifmj/SEeSQ9YA53V11djXvvvRcLFy5Ev/hY3B8bCrN3SEnBOWsGlnXqBndDA8bLop4Gw+hxULO6YN3OdVDSVOzY2Po7d9DYow/5vbJ7C1KmNh4+MigoCEcffTS+/fZb/Ll6DU70Xp5uswIGYGP5JvSLa90LcVc7duyQy7S0NAwYMECe7lNb0ryBasBxzj/xzqxPMWxkb8RtWiovDh0zBpsqt2BL5VZcM3gYws3he72PMLOCx8dbZab3NK+fqii4dbind97eZEWpuHbQvntOnNa9bX9spbbHdpH0gDkMLHsr9lU3TgLsh2E8mUHSE+aRdFnsu+eeexAfH99UkRZHN7700ksYOnRo09Cdjz/++OF4rES7fXEQE90T+RuzSMwfEdtD0g9+Lu9OFPn+/PNPnGJWcGV5LswVrQtHDbNnYU5+KfobATM8RT3D+AmYnTcHX2/6BkGmIGzaamsaF0bN7g7DuGMO+b1yeH/wMx30eDOHNpSnKPZ9PWdeU7EvtKIOEckR2LQf8/Zt27ZNLtPT0+VScziQVN6i2Od2IaoqH8bqPAxQesi5CgXDiDFYVrIcc/PnYXDCoP16rHsq9BEdCLaLpAfMYWDZ6zCeLQ/Yb+NhPJlB0hPmkXzhgHarKioqZBHvo48+2q2xFlavXo2ZM2di7ty58mhJMdRnXl4eh1kknx0B4Xa72bOP/I5ZJOaPiO0h6Qc/l3dXXl6OTirwn2AVFm/h6Aubhi1denhes7Ur8c1HH2K4yVtUMhjwdVguvtz4FaKt0TghfBKWVrmwyhwMte8AWB96+rAUoOwuzw9+ln+fBv6w69+/P1JSUrCppBRuo+cYWK20CF0iO6OorhhV9qo9Xk/sf9jtdmzfvr1ppBvBOXMGjLtMaVG/PUcusytKPRdYrTAMGIwpXU7C9QOuRUxQtC+fIlETtoukB8xhYBb7GhoaWl1e7db8NownM0h6wjyS34t9Yg4HMUfaueeeK3dqxA6e2HF84oknEBsbi0GDBmHWrFmyt19BQYE8elRMfH7dddf55MFTYBMFZ7GTvafCMxGzSIGCbSHpCfNIesAc7q6yshLxLfb85o48Cs/Vu/HCslXyvFFR8EOEAadaPBtVdEnH3MoV6B7dHTcOvB4njZ+M0886C0GPPIugp16BEnV4ilT+GsZTEPuyonefUGHw/NioFRUhO6qrPL1h58bdrjNt2jQcMXoUrhs3BkVffoZoxVPs0+w2ON55dbft67dvk/Mfxm33zAFoGDQMitkCoyrm5sv08TMkasZ2kfSAOQwsISEhcvnGG2/g/vvvR35+/m7FPpj3PRT14cYMkp4wj+T3Yp/o1bdp0yasXbsW559/PhITEzF48GC8//77ssAnGu7Zs2fjiiuuQFhYGPr164ePP/5YTlj+1Vdf+eQJUOAS80OKIWTFkohZpEDFtpD0hHkkPWAO91zsi2jRE++oy6/EY489hvVGC2r3MP11zOiJOKXLybisz8UINgXLEVtuueUW9O2773nsDrbYZ/bDMJ7C8ccfL4t+2+rq5XmtuBDdo7vJ02t2rm21rejNJ/Zp/8/owlPBwH9sFXg6VEV6Whqc30yX1xVerG+ejCi4thq9jQqMdbXyvDp8tBwadf3ODXC6W/cCJPIltoukB8xhYJkyZQomT54sT4ths0855RQ8/PDDKKqpad6ojXv2MYOkJ8wj+cJB7VZ169YNjzzyCHJycvD000+jrq4O9913HxYvXrzbtscccwwuueQSXH311aiv9+xEER0OqqoiODhYLon8iVkk5o+I7SHpBz+X91zsC2/xlVkJi8D48ePxxTffwnjVjVC79YQzqys0URAMC4d5/ESMSR0NVfHt9+zxGQa8NcmK7rH++T4v5v8eMmQICl2eAp1WUoRwczhSQ1OxvWpHq+kCCgsL5fnBLX6XzDQoyGyohf2jdzzXT0nDlxYVtd6nE9pQh9GNlUxFwScRO+TQqD9s/QkuzVvpJGoDbBdJD5jDwBIeHo7//e9/mD59OiZNmgSXy4UvvvgCVY7mzz+ljefsYwZJT5hH8gX1UMdfvvTSS2VPv9tvvx3Z2dl73E70+rv44ovlPH5Eh4v4oiDmkRRLIn9iFon5I2J7SPrBz+W9FPsaO/aJgl5oqDwZExOD6NPOQtCLb2PVPVdj2k3DMHfadVATEtvkvbIYFcSKeQT9MIxnoyuvvBLb3Z7718pK4d62BZf0uRD/N+zWVvMSilFsxGsYsstchZbnHweqPfP7WS69BgbViJJgz252QqiKUUGe6mB+WhSW2rdicMIgXNf/algMbTt0GQU2toukB8xhYEpPT5fDeN50003yfJkG5Io5exUFao9ebfpYmEHSE+aRfOGAxj/ctm0bpk6dKodx2ZMff/xxr+EVE7I+9NBDB/coifbA7XajtrZWjgNuMBj4GpHfMIvkT8wf6QnzSHrAHO5tGE/vmdAwKHv47jwoYRCKuhRjVOYxaCtFtW7sbNCQFem/gp8YmnTdaWcD338izztn/YbICy6Xp0VPvsaCnyj2Je7hUFnRG1BQe/aBcfQ4RAdFo6CmGGJGvgyTgkS7Z7jOjakhOLnLSRibMrpVEZGoLbBdJD1gDgNbcnKyXIq+9JdUu/H7V5/DkJbRpo+BGSQ9YR7J78U+MQ+fGG9Z9NDb29CJYodI9OQTR2xERka2KvYRHU6iZ2lKSgpfVPI7ZpGYPyK2h6Qf/FzenRgNI8xbX1LCI1qtc7gdMKkmWI0WnNL1ZLSlnzY78eUGJ16daEVSqP8KYMdfdjnWf/MxuhkUOH7/BabzL0O1oxofrP1YFud6x/ZCXl5eq2JfrsmCVIet6bz5smuwvXo7ouOjUbShELCoSK5tnr+vz7CTkZY6pq2fGpHEdpH0gDkMbLGxsU2nxS/ExuTUNn8MzCDpCfNIfi/2RUdH49Zbb/3X7cTE5T169JCTrxIREREREZHvaA4HXHP/gtq5K9TU9N3WV1VVIcLbm6xlsU8U+p5Z8jy6RWVjcucT2vwtcnhrYSY/T8EtRgpZE5OIbhVFQH4u3JvWw52eiLzqXORUbZPFPtGzL0ltLkhmXX4t7C8+KU8bRoxBZdcMPDf/EdhHuLBl7e73kdJvbFs+JSIiIt0W+4S9dSIhIqI2KvbtOmSnOLrRYrHssXffDz/8wGIf+ZTdbkdBQQGSkpL2OrQsUVtgFsmfmD/SE+aR9KCj5VCMkLJu3To55404+HJXc+fORd7zT2JSSS5gMMB06tkwnXcJlKDgpiGCRLEv3HMWSlh40z7b95t/RH5NPvrE9oY/2F3Nc/f5m2vEWOCnzz2nZ85A5OXX4fahtyLMHCYvE/u+PRt/lwwOgfHoiXB89j40ux3mS6+B1Roth+mcv+4fzHGua33jViuUJI5IQv7T0dpFap+Yw8DW8juMGM7aH0NaM4OkJ8wj6a7Y99133+3xi2Jubi5Wr14th+88mLnUZs6cifHjx+92ucPhgNFolOvFMKGbN2/Gsccei9dffx1RUVFN2+Xk5OCqq67C33//LXsYvvnmm+jTp0+rHeYbb7wRn332GSIiIvDII4/gjDPOOODHSf4lshATEyOXRMwiBSq2haQnzCPpQUfL4TPPPIPp06fL0wkJCbgoLgIj6qsQlZgE85Qz8cZ7H+Hc/B2ASRHzJ8Dx2QdwzvwV5qtuhGHMkaipqZEFv0jvfpno2ed0O/HZ+ulYWLQIGeEZOCb9KL88N7tLk0uzDg7u73PkeKz47jP0NSpy3j7Tpdc0FfpED8hCd2FTzz41KRmukGCsfuwOzN8xF5emJMMKYEzKKHSZnIVPXv8YxW4N8Y3bZ3be4zyJRG2lo7WL1D4xh4FNDFkopoWqr6+XBxz5AzNIesI8ki8c9De9F154Qf7tSUlJCUpLSw+q0CcsXrwYgwcPxssvv7zbfwJRRDz++ONx4okn4tFHH8Vzzz2HqVOnyuKjYLPZMGHCBFitVnz66af466+/5Pm1a9fKwp5w+eWXy0Lls88+K3d8L7roInmk7PDhww/q8ZJ/iC7/oaGhfPnJ75hFYv6I2B6SfnSkz2XxY9isWbPkabF/M7C8GMfZSj3rykpg27YVq/Kr0KXx6Yof8p1OaCXFsN3/fzAMGYHqU8+Rq8LlEfQanKEheH35a9hcuQU9o3vgvJ7nwqD6pxBlbxzGUwd1sN69e+MZmNAXTmjFhXCvWQlD735y3QerPoIywojkIlW8KbDHxuCx+Y+gwlaBYGMwiuuKkR6eJrcVPaeysrKwtHArJpi9xb5Onf363Ig6UrtI7RdzSKKjhij2MYNEbBPJN3xyWFdcXJz8O1hLlizB0KFDZcFvVw899BA6d+6Mjz/+WH5RGDZsGFJTU7Fw4UIMGTIE7777LrZu3YotW7bIyydNmiSHtnnttdfw3//+F+vXr8cHH3yATz75pKk3n9j2gQcekEOPUvsheo7W1tbKOTYOtrBMxCxSe8e2kPSEeSQ96Eg5FPsp4iBKMc/Ndw/eC9udN8nee01qqpEBN2K8xbqak85AdGYn2F9/AaiqhGvhPIStXoEEBbDCcxT93JrV2FwZizEpo3Fyl8lQFf91qxNz9YWZFKh+GMprV2LEmk5TL4DrkzdgUBTUP3Y/gu55GIbO2ehl6gG4NCSIl8oFrDCUoNJmxqROEzEqeSSCTd4xUr0efPBB/HD5hZ6NRW/KyOZRaIj8oSO1i9R+MYcUGRkp58BlBonYJpJv6GDAlL337NuT33//HWeddVbTRK6it96RRx6J3377rWn9EUccIQt9jU4++eSm9X/88YfsNj5lypRW68XQoOKLB7UfoldmZWWlXBIxixSo2BaSnjCPpAcdKYfz58+Xy0m9esB+/x1QXC64DAZ80tD83EaL4Tsbty8th+m4yQh++3MYJ54oLzPU1Tb1MBNKTQ6c0nUKTul6sl8LfcJNQy348KQg6MWpl1yKhWGeOYWU/Fw03HodtIpybFyyEebldbB6hx0tCNVwatcpOCbj6N0KfUJ2djYu/3g63KFhoooI46ST2/y5EHXUdpHaL+aQRLGPGSRim0gBVOyrrq7Gxo0b5RCeopAnunife+65KCwshNPpRHFxMfr27dvqOmKYFHGdxonT/2199+7d5VjRLdeLbuRi3d6I+xVDiLb827RpU9Ncgi0n12z8Ai2Khy3XidONBUWxjdh2X+sax7AW68Rz39M6cXnjOnHZv61rfGzi8sbHtuu6XR+3Xp+TGNZVzFvSeGRiR3hOHfF9CoTnJCaWTkxMlO1KR3lOHfF96qjPSUhLS5NtYkd5Th3xfQqU5yTaweTk5KbH1RGeU0d8nzr6cxI5FO2iWN+en5M4LUYoiYaGqVtWAXW1cpvNJ5yG3xzNc92MaVHse3HhDLzz67soMzmBa24Ggj2FqKEttklJ6o5hcUNgd7pbPae8ajcaHK59Pu66BhucLs/1ymodqLc7OlT2xLYFU87G243F1MoK1Dz/ON566y3ErfW8/kKPHkdiSNzgfT6noIREhH7wNSzvfwVXbFy7yp7e3yc+pwN/n0S7KPZXGg+a5vvE7Pnj/5PIYUpKSqv52thGBFa7Fx4e3nSb/nhO4rbEd0SRRWYvsLKnx+fUsk3sKM+pI75PenhO7brYt2jRIvmE+vfvj88//1xOSC96451++ulN4zrveiSIGHtezBMoiG0OZr3QuM2evPTSS3Ieh5Z/okegsHPnzqbtCgoKUFdXJ0+LYTJEkbKROC0uE8Q2YtuWxURR6BQaGhpkt/bGIIihe6qqquRp8UaLdY1hKysrQ3l5uTwtAiHWNQZDXC7WC2J7sa4xtOL2xO0K4n7EOnG/gngc4vHwOfF9Yvb4/4ltBNtyfj7xM5ffI/jdiN9h2/57+Y4dO3DmmWdi0Zw5eDhEhbXac5+1p02Fa8RYFLTY7+tm9BTySkLMcJ3VFx+W/oNzpy/EhT/Uoyo9S67r491G7oeYuuG+mRU477sGlNa5UVxSijcW1+CqXxpw1c8NuPePClz+Uz3u/9vW9Jxm73Dikbn1OPebWpz/XT0emWeTy22Fnv2gvEonXpi7E1f+VC8vv/fPWtz2WzU+XuNoek6frq7Hk/NtuGlGLc7+uhYPzbXh6QU2fL+yVFf7TzHx8XinQcMKq2cfUf3zd2TXVuLohISm++45Ysp+7T8poaGoM5n9/py4T8j9XGaP/5/YRvC3sJafT/76zBUHHDRej59P/B2W3434fY/fYfP3q1ZzIBSt5SE1OiCe2ObNmzFgwICmy8TQnEcffTSWLVsmi4Bz5szByJEjm9bffffdmDdvnhyqU1x+wgkn4I477mh1/QkTJsgKqbhcFBR//fXXpvXiQ0j0iJg9ezZGjx69x8clPth2LQaKnn2i4Ld06VL5uATxBonbEh9g4nYbj3Jv+cEmeqKJy8XjEXND7G2duJ7oMSTWiaW43V3XNVaDxTrxVjYezby3dY2PTawTlzX2RGq5btfHrdfnJB6X6I0pehBYLJYO8Zw64vsUCM9JNL7ii7E4Ikdc1hGeU0d8nzrqcxLnxRcC0dO5cbv2/pw64vsUKM+psYgh5m4O9vYoau/PqSO+Tx39OQniczkmJgZWq7VdPqdvv/0WjzzyCB6IsGCs4r3uCVOAq26UQ/GdcNaJ+N6sIMTZvCu3pFMsnhl+GnK2FcNeH4tevcbgicrvEPXdZ2jp9lNfQU5sNnrGGnBFfzNSQpx4fokL26sVlNS5UWPXkBGuolOkiv8M8oyg8eZKN37Y7ERSsAa7W0VZg4buUQoeGmuUj/v3HAeeWWhHuFlBTLCKnAoXgo3AmHQTrh7oOXr+0QVuLCx0I8gIJAQDOVVAjFXByV2AE7MtunmfxIGcYt73jJBgvBumQGloQIFLQ0SXrgjeuglKSiqC3pn+r/+fxG2LfUjRHorH2F6yFwhtRCA+J3Gd3NxcJCUlyXaxIzynjvg+dfTnJC7b9Xtie39OHfF98uVzEj3lxUhuwj///NPmz0n8diOKC6Kns8D3KXCyp8fnJC4XRXUxN7eYcqwjPKeO+D4Z/Pyc1q5dKzudrVq1Cr169UK7K/btiWiMRejfe+89XHfddXjttddwxhlnNK2/+uqrZdHnm2++kcU3UfwRPfEaffbZZ7jsssvkjrHoKSiuv2bNmqb1YidM/Ei6ZMmSVkXGfyOG8jyQF5sOL/EflJOMkx4wi8T8EbE9JP3oCJ/LDz/8MFZ//QVeDfM8frX/IFgfeQ6Kd4fymDsn4JkNtciqbJ5zvPSMU5B+2a1444038Oqrr8odyufOPh19f/yi1W3PmzYd/XunIDbYM8hLtV3DnFwXxmcY4NYAuwsItzT3BGwktgsxAQ4XsK3Kja5RqrwPwebSUFCjISlUgcWgwK1pUL3rWrK7NBgUwKAqsqgYbMIet/O3Y445RvY4uKVnV5yYv6XVOuOEE2D5790BkUPqOJhH0gPmkMTvtg888IB8IURHDGaQAhnbRPJF/Ul3w3hu3boVy5cvb3VZ47AjoujXr18//P33363WL168uGl+mP1ZL+bvaznMilgv7DrHDOmb2GkW431z55n8jVkk5o+I7SHpR0f4XF6/fj16txh603LTnbLQJzS4GhCcFIKiXWpkqaMnyeKbOMhRHCApjum8/+PWvfqEo/rENhX6hDCzgolZRpgNCqxGZY+FvsbtRGHOYlSQHW1oKvTJx2dQkBmhyqWwtwKeuA9R6BNCvbenR126dJHLJ9dsxKoWvScFtY9nRJdAyCF1HMwj6QFzSEOGDJEvgujdyQxSoGObSL6gu2KfOAr1iiuuaHXZu+++K5fDhw/Haaedhg8//FAOQdHY7XvBggVymE9BrF+5ciV+/PFHeV705hPXb1wvhukUQ/o88cQT8rzYCX7++edlhbRxCDRqH8RRzTU1NU3DNRExixSI2BaSnjCPpAftPYficYuDE3t4a0RKVDSUpOaDEoNNwUhYFYsdpZ5hYAS7JRgNWd2bzl9wwQW46aabUKIBRaK7XiOTGbBa2+iZtF+NxT7xyi0cOlaMtdO0zrCfxb72nkPqWJhH0gPmkEQni6+//hrTp09nBingsU0kX2jea9GJiy++WBbfzjrrLDnPnpin74UXXsDpp5+OPn36yB0vMQynKPyJAt5XX32FQYMG4aSTTpLXF9tccsklcvspU6Zg/vz5cmLZ//73v3K9GPf08ccflzvAYszTiooK2RPwyy+/9PMzpwMlxrIVvT7FWLqN4+kS+QOzSP7E/JGeMI+kB+05h+JAxO05ObDZbOgdZQI0N9TuveDW3Phq4zdIC0vFsKShSIxPROGq5YC399/28HR0Vlvv2p1zzjlIT0/Hzg1rkbRiIdyrlsMwelyrHnm072Kf2Hc89cabYfr9JzjeeRVq52woyakdPofU8TCPpAfMIQmpqfv3OcoMUkfHNpECotiXnZ2N77//HjfffLM82iMtLQ333HMP/u///k+uF3P3zZ49G3fddRfmzJmDs88+G9OmTZMTFjYSxcCePXvi448/Ro8ePeTtiB3dRueddx6io6Nl0U8Q6xuLhdR+iJ3mjIwMfz8MImaR/IptIekJ80h60J5y+Oeff8reX8cddxyU2hrUX3cJwqqrZK++RM3TI0zt1hP1zgasLluDsoadGJo4BPHx8Shq0WEvJ7ZLU0/AlsSoJhB/uAxaQ4N4cdrw2bVfo0aNQlZWltxHTEpKAs69GIZBQ6Emp+53sbQ95ZA6PuaR9IA5JH9jBklPmEfyBUUTh49Sm0yQSEREREREJDgcDhxxxBGw2+0YOHAgpo0cgqAP3tjtxbE88iyMg4ejrH4nIi0RMKgGfPbZZ3jl8cfwSYQRJrMVN57xDt6+IIO99oiIiIiIiAK0/qS7OfuIDuQHkry8PLkk8idmkZg/IraHpB/t5XM5Pz9fFvqEJUuWIOe9N/e43ZZ4sxzeMyYoWhb6hE6dOqFKA14bMg6v3TgdNeHxLPTpTHvJIQUG5pH0gDkkf2MGSU+YR/IFFvuo3VJVFSEhIXJJxCxSoGJbSHrCPJIetJccbtu2TS7FkZqnjBqBHuruA66UdEvHy1s+wvbqHa0uHzx4MJ577jlce9vtqDKHwmLgPHx6015ySIGBeSQ9YA7J35hB0hPmkQJizj6i/WUwGBAZGckXjPyOWSTmj4jtIelHe/lc3rHDU8ATc43fkBwDx+oF8vwtxghMe+wxGA0uvFT0CTpFZCIjvHn+cUHMGzdy5Eh5+uhMJ8obODOD3rSXHFJgYB5JD5hD8jdmkPSEeSRfYLGP2i23242GhgZYrVYeMUvMIgUstoWkJ8wj6YFec7h9+3bEKIB5yXxoxcUoySuSl6enpcE542vPRp0648ln30BwcDB+yZkBh6rhiNQx+7zdIzO4S6dHes0hBSbmkfSAOSR/YwZJT5hH8gXudVC75XQ6UVxcLJdEzCIFKraFpCfMI+mBHnP422+/4dJTT0HdhafD/vwTcHz6HrJXLpHrss1GaNtz5GnTURNloc/hdmBu/jxEWCLQO/bfJ2In/dFjDilwMY+kB8wh+RszSHrCPJIv8DBQardMJhPS09PlMEZEzCIFKraFpCfMI+mB3nJYVVWFxx57DEOMCoJbPKSQqgq5zMjZ2HSZ8chj5fLrTd+iyl6FE7OOh0Ex7PP275jVgAirgtuGW3z1FKgD5JACG/NIesAckr8xg6QnzCP5Aot91G6JHWfuPJMeMIvE/BGxPST90Nvn8gsvvICdO3dibFocUL2z6fIIhx0mowHWhfPkebVPf6gJiVhQuFD26usa2QVHpI3919vPq9Hg4pR9uqO3HFJgYx5JD5hD8jdmkPSEeSRf4DCe1G45HA4UFBTIJRGzSIGKbSHpCfNIeqCnHC5btgxffvkljEYjhkWGtVoXpwJHJsQBpcXyvHH8BOTV5OHzDV/I4TvP6zn1X3v1CXaXBvO/b0YBnEMi5pH0gDkkf2MGSU+YR/IFFvuoXR8BYbFYeMQs+R2zSMwfEdtD0g+9fC6LHfhp06bJ05dMPQemvB2t1keqCiaZvGcMBuT0zcDLy1+Dpmm4qNf5CDOH7d/9uACzgT3I9EYvOSQSmEfSA+aQ/I0ZJD1hHskXOIwntVviCOno6Gh/PwwiZpH8im0h6QnzSHrg7xxWVlZi8eLFWLt2LbZs2YK0tDScN2IYXN98KNfPcWgYZfIUgAZUlMilYcgIGCOjgVzggl7nISM8Y7/uy61psLtFsc+HT4jaZQ6JWmIeSQ+YQ/I3ZpD0hHkkX2Cxj9ott9sNu90Os9kMVWUnVWIWKTCxLSQ9YR5JD/ydw8ceewyzf/kFp1gU3B+sYliQG667bmpaPzfRjFFlrYd2NI4/Fp0iOuHu4XfAYrDs93053J6lmV+FdcffOSRiHklv2C6SvzGDpCfMI/kC9zqo3XI6nSgsLJRLImaRAhXbQtIT5pECPYeiuPPXX3/hPKuCy4JUHGFWYC0uFA9Krq+Mi0fugJDdr9hvoFwcSKFPEKN33jXSghO6NI4HSnrB9pD0hHkkPWAOyd+YQdIT5pF8gT37qN0ymUxITU2FwcBxi4hZpMDFtpD0hHmkQM+hGL6zvr4eR8dYAJcTCA2DoVdfqOmZUNIz8YVjNcq2/tXqOq7YGBhj4g7q/oyqgqHJ/C6sR2wPSU+YR9ID5pD8jRkkPWEeyRdY7KN2PZGpGN+YyN+YRWL+iNgekn7483N59uzZSFeBeFHoEzvxZ18A85nnydN1jjqs/+N3VJU7UadpCFY88/aZu/c56PsTc/Y53YBJ9Txv0g9+PyQ9YR5JD5hD8jdmkPSEeSRf4DCe1K67OxcVFXEYT/I7ZpGYPyK2h6Qf/vpc/u233/DLL79ghKm56GYcPrrp9KKixVAMChrW1cOpNV9P7dbzoO8zt1rDaV/V4+M1HNZeb/j9kPSEeSQ9YA7J35hB0hPmkXyBxT5q1zjZPekFs0jMHxHbQwrcz2VR5Lvz9ttxQkMVrg7y3LeSnCqH7hTcmhvzCuYj1BIKxzY7wtXmgqDhEIp9dpdnaeZInrrE74ekJ8wj6QFzSP7GDJKeMI90uHEMRGq3xPBMcXEHN78J0eHELJI/MX+kJ8wjBWIO7XY7Xn/+eTwUorbu1TfmSDk8T251Hr7Y+CUKawsxJmUUlkYsQoNjJ6zeYTfV7B4Hf98uTxdBMYwn6QvbQ9IT5pH0gDkkf2MGSU+YR/IF7hZSu6VpmvxxRSyJmEUKVGwLSU+YRwq0HObn5+OBBx7AaZVFTYU+JS0D5suvg3bO+fhi41d4avEz2Fa1XRb6JnWahNjYWDxS53lshqEjoISGHvT9O7w9+yxGztenN2wPSU+YR9ID5pD8jRkkPWEeyRdY7KN2y+FwyB9YxJKIWaRAxbaQ9IR5pEDJ4dq1a3HHHXfg5JNPRs6vP+F4s7eXXu9+CHrxbZjOOBem4FBsqdyKzIhM3Dz4BpzSdQqsRoss9s10aPht6uWwPPDkIT0Om7fYx559+sP2kPSEeSQ9YA7J35hB0hPmkXyBw3hSu2UymZCcnCyXRMwiBSq2haQnzCMFQg4//PBDPP300/K0wWDAXckxUKsrxB3D8t+7oQSHyHWqouLKvpch1BQqh/NsdNRRR2Hr1q0YcNQxUAyHNtme3e3pIcg5+/SH7SHpCfNIesAckr8xg6QnzCP5Anv2UbslfjQxm82tfjwhYhYp0LAtJD1hHikQcjhnzhy5nDx5Mr5/7RWkikKf2GE/+QyoKWlwa24sLFyEBqcNYeaw3R7HiSeeiG+++Qbp6emH/FgGJxrw8gQrBiUeWtGQDj+2h6QnzCPpAXNI/sYMkp4wj+QLLPZRu+V0OlFSUiKXRMwiBSq2haQnzCMFQg7z8vLk8oILLkDEisVNlxuPmyyXG8o34KN1n+CPHTPha1ajgpQwFcHe+QJJP9gekp4wj6QHzCH5GzNIesI8ki9wGE9q19xut78fApHELJI/MX+kJ8wjdeQculwuFBQUyNOJiYlwzpwhT6uds6GmZ8rTWRFZcn6+ntE94Gs76zVUNGhICVNgMbLgpzdsD0lPmEfSA+aQ/I0ZJD1hHulwY7GP2i2j0YiEhAR/PwwiZpH8im0h6QnzSB09h0VFRXKnPD4+HsbcbXBuz5GXG448pmkbs8GMMSmj0BZmbnPi3VUOPDneiq7RLPbpCdtD0hPmkfSAOSR/YwZJT5hH8gUO40ntlqZpssuzWBIxixSo2BaSnjCP1NFz2DiEZ3JyMlx/eHr1CUZvse+fgvkoq9+JtmL3dmA0cco+3WF7SHrCPJIeMIfkb8wg6QnzSL7AYh+1Ww6HA7m5uXJJxCxSoGJbSHrCPFJHz2FjsS8lORnOWd4hPHv1hZqQhEpbJT5bPx3TN36JtmJ3eQqaZhb7dIftIekJ80h6wBySvzGDpCfMI/kCi33Urrs7i7lSxJKIWaRAxbaQ9IR5pI6ew/z8fLnsZzVBK/LM3Wcc5+nVN79gITRoGJk0HG3F4fIszdyr0x22h6QnzCPpAXNI/sYMkp4wj+QLrJJQu6WqKqxWq78fBhGzSH7FtpD0hHmkjp5D0WNQ6LWzuPHOYDjiKLg1txzCM9wcjp4xPdBWbI3FPgPn69MbtoekJ8wj6QFzSP7GDJKeMI/kCzwGlNotMRfLzp075ZKIWaRAxbaQ9IR5pLbkdruxZfkylK5bc0g5tNls2LBhg7y9tWvXYv369fscxlPsQCVuXifPq/0GQY2OwfqdG1BuK8ewpKEwqG07pqao83EYT/1he0h6wjySHjCH5G/MIOkJ80i+wJ591K4nMhU/zoglEbNIgYptIekJ80htZd6fs5D3wF04RrPDqCioSUiC+YQpMB1/MrSg4AP6jvj0009j+vTpCAsLQ3V1tbxs4sSJuP766xEfH7/bMJ79jYCxukqeN44/Vi7nFvwDQMGwxKFoS9cMMss/0h+2h6QnzCPpAXNI/sYMkp4wj+QLLPZRu2UymZCUlOTvh0HELJJfsS0kPWEeyddE77tPPvkEzpefwakWBVA8w1cqRQVwvPkSHB+8CeMxxyPhlDOhmkz7dXu//fYbRF+8YQ01qA4Nwjq7E2t//RkP/vUHTh41EsO7dpY7TfXHnoDy8nJcESrOaWKiDRhHj0OlrRKrS1eje3Q3xARFMwQksT0kPWEeSQ+YQ/I3ZpD0hHkkX2Cxj9r1ERDiT1EU+UfELFIgYltIesI80qH65ptvkLpyMXoW58P8n1th6JzdtG7r1q144IEHsHHFCnwZ4ZmNwJGagbc25eBoE9BZjGdps8H5/ZfyTx0yAuaLr4Kha7e93p8YtrOiogJ3xIRigqsegN27hyTKfy5g4WxoC2fDAaBhgei9B4wyq4DbBcOQEbAFWfDZmg+gQcOIpGFtHoAlhS40ODWMTOVund6wPSQ9YR5JD5hD8jdmkPSEeSRf4Jx91G45HA5s375dLomYRQpUbAtJT5hHOhRlZWV4+IEH0H3WL3CvWQn70480zWfx1ltv4ZxzzsGKFStwSnQYgr0HeoVeeT0Mp0/FxfUabq4DSjO7NN2ee+E8NNx9MzS3e7f7KikpweWXX45p/7keE82Kt9C3b6Gb1uFiq4Jwt0uet/Xtg+eXvYg1O9diUMJA9I7t1eYB+HydA68s5XdhPWJ7SHrCPJIeMIfkb8wg6QnzSL7AQ0Cp3TIajXIeFbEkYhYpULEtJD1hHulQ/PPPP+gmOtR5udetxoYNG3DvvffKpThK8e6h/XFUfg5QAygJSVAHD0dqdAkGxQzGomcW4tRl63HahSMxbt0m9FlXBpSWoHj530gYMLbVfX3xxRfYtnQJPgxXERTcfPzj8qFTUBUWh/LQOJgTE3DSyGS89NZbmPzXDMRpDlxgbd72Y1cUNpevwildJ+KYjKPw5goHcircqHcCViNgMShwa8BVA01ICFFRbdfw9AK7vKy0XkNqmIKKBg2iFPnYkVbP/Re58M1GJ+qdGkRHRZNBgdOtITFEbZqb79etTiwscGFnvYbcajfCzBzhQo/YHpKeMI+kB8wh+RszSHrCPJIvsEpC7ZaqqggODvb3wyBiFsmv2BaSnjCPdCjmzZuHvsbmwpWmKLjoootgs9lwTEIsbokKgnXDyqb1pjPPAwwq6l31GNh3EI669Ug88cQT+Pq7BWgYM9hT7AOw4ofXcWS/kTCqxqYhc37++Wf0NAJBLYaC/yv7WLw66HqIhyAKddkxKk5NsWDcaVPw2spS3LlzQdO2DtWEX5WxODV5KI7NTES9Q8MPm5wwG4AQkwKbE7C53FAVoNbhmTuwqFbD8mIXxD1GWRXMy3PLbVPDmx/D9iq33CbYpMDlBhxutyz6RYr5Cb027nTLYl+URYGmAd2iOViLHrE9JD1hHkkPmEPyN2aQ9IR5JF9gsY/aLZfLherqaoSFhcFgaHEYOBGzSAGEbSHpCfNIB8vtdsuefbe3LPaJHm0OG+7KSkL2zmKgsFxeLnr0mS+7FoYjjpLzNp/T/Sy43C6Y+pqQmJiI22+/Hd98MQfnJEcgxVaPjHX5WFy0BMOShjbN05ebm4vxUaGA5hm+03TuxZh41gU4zmqVxcDCukKsKl2NpxavRn5NPnJq18OpQRYCpc5d8NGpEbAaI+XZIJOCT04OgpjOb29zSXeJUvHZyUHytEFVYHdpMO2y/QldjPJvX/NRix5+Vw80yW0a568m/WF7SHrCPJIeMIfkb8wg6QnzSL7Aw0CpXf8oVFtbK5dEzCIFKraFpCfMIx2sRYsWoaqiAn1aHIooesW9F27wFPoEaxBMF12JoLc+QdHgHvhuyw9waS6oigqTwdN7buzYsXj55ZcRHh6OGRW18rKUwhr8s/IHuDXPd0bRq08YlJnmuV2TGaYLLoditWJO3lw8NP9hPLbwSfy49WcU1xWjb1wf9Bg1DKtcWtNjM3XvDmuLwqQgegP+W+FNFPnEn2Dew/bi/P4U7xq3YaFPv9gekp4wj6QHzCH5GzNIesI8ki+wZx+1WyaTCSkpKf5+GETMIvkV20LSE+aRDsaCBQtw8803I9sAhO6l0GU4eiLMl14LNTYODpcD7y//CCX1JRicMBDJocmttu3Xrx+ef/55PHnZxbjQe1nYxq1YPWANesX0xK+//iov6xIRIZe1EXF4Zp4dx3dZj+kbv0SYOQyjU0ahd0wvdI7MksN/zq2YiwU//Iz+3gKfOSubbzaxPaR2g5/PpAfMIfkbM0h6wjySL7DYR0REREREfvHHH3/gzjvvhMPhwGXdOwGF23ffKDIKtdddhyWVG7Fu1Q/YUL4RNpcNkzpN3K3Q16hHjx7IMZjg0FwwKQrS8mswO38ObNsaUFpaKg8YC7c3QPT1KwuNx9KiYlS7PkWoKRQ3DfoPIi2e4TkbjRw5EuFPPQ/t1Wegam4YjzzWVy8JERERERER0QFjsY/aLbvdjoKCAiQlJcFsNvv74VAAYxaJ+SNie0gH9rm5fv16rF26FC+/8AJcbjfOO/NMDJ77i1y/0KGhrxGweHv5bUgLxnsLH5GnFSjICE9Hn9jeOCJt7D4/l9M7d8GmHevRwwhkF7vxY/lGFMzPldtMmDAB2uyf5OmKsDho6jeygHhx7wt3K/Q16j1sOLShH3seB+fJo/3IOfdVSC+YR9ID5pD8jRkkPWEeyRdY7KN2y2g0IiYmRi6JmEUKVGwLSU+YR9ofd911F5yz/8A9wSqODxcFPQMw8zvAbpPrf7BrGGJqnlp8S2YUhiUORY+Y7uga2QXBpuD9ymHPnj2xLmcdehgVxOSVId40BDNm/C63mXjMMdC+fl+eLggWPfy2YETSSGRHdd3nbbPIR/uL7SHpCfNIesAckr8xg6QnzCP5QvNeNFE7o6oqQkND5ZKIWaRAxbaQ9IR5pH/z559/yqE7LwoywNiyd5y30IeISMx1tZ637+gTb8ZZ3c9Av7i+/1roa5nDXr16Ya3Tc5lit2P0jhRUVVSha9eu2FGzHHCLQTyBitAsWA2ZOLHz8XwD6bBhe0h6wjySHjCH5G/MIOkJ80i+wCoJtVsulwtVVVVyScQsUqBiW0h6wjzSvmiahieffBI9DUCWdy/EMHY8TOddCuNp58A4+VRY738cEbGxeKPeU4hzJSYivFOPg8phdnY21rm0pssLfpspl0dMHIdlq39runxnaDekBl+GIGMQ30A6bNgekp4wj6QHzCH5GzNIesI8ki9w/ENqt9xuNyorKxEUFASDweDvh0MBjFkk5o+I7SH9u4qKCuTn5+OicDHXsgswGGC+9hao0TFN25Q3lCN8WCSmzypDr6FHYPy11x/w0JmNn8uZmZkoCwpGjdaAUEVB2Ob1cv3kY06EZWUsgKXy/JC+yXBnmvgW0mHF74ekJ8wj6QFzSP7GDJKeMI/kC+zZR+2WyWRCWlqaXBIxixSo2BaSnjCPtC8FBQVyOcLg6W1nGDGmVaFPWFG6ClpXwBVlhOW4E6Empx50Dq1WK0497XTMcXjub4TqxohePZEUH4/QrblN248dmIwjM3gMJB1ebA9JT5hH0gPmkPyNGSQ9YR7JF7hXS0REREREPldYWIgQAGGaZ4hOtUfv3bYZkzIKoaNCUJ64E6NGjTrk+5w6dSr+79OPMAFumBQF96g21J1+HFBd5dkgOBgIDTvk+yEiIiIiIiLyJ/bso3bL4XBgx44dcknELFKgYltIesI80r6IITwTWux9qAlJu22jKioGZQzE0eOPlpPWH2oOo6Oj0e/sc5HrqS8iaEdOc6HPaIT7tPNx8Y8N+HgNv0/S4cX2kPSEeSQ9YA7J35hB0hPmkXyBPfuo3RI/AEVERBz0D0FEzCJ1BGwLSU+YR/q3YTwTW3xtUxJbF/tWl62BQVGRHZUti36HK4dXX3MNGjqlwvXUNMBsgWHIcBjHHAnD8NEoVkJQ9lMDbE7PUJ9EhwvbQ9IT5pH0gDkkf2MGSU+YR/IFFvuo3TIYDAgPD/f3wyBiFsmv2BaSnjCP9G/FviRV2WvPvh+3/IQKWwXuH3kvoBzeHFonnQT3kOFQQsOgBAU3XV5f6enyZzUewh0S7WcOifyFeSQ9YA7J35hB0hPmkXyBXaKo3XK73aipqZFLImaRAhXbQtIT5pH+bc6+pp59FgsQGdW0bl7+fOTXFqBPbB8YVINPcqjGJbQq9An13h59Vh4CSYcZ20PSE+aR9IA5JH9jBklPmEfyBRb7qN1yOp0oKyuTSyJmkQIV20LSE+aR9rdnn5KQBEXxnP5j+yx8tuFzRFujcWzm0W2aQ5t3E/bso8ON7SHpCfNIesAckr8xg6QnzCP5Ao9hpXbLbDYjIyPD3w+DiFkkv2JbSHrCPNLeiJ521dXVSAr39NpTE5OgaRp+3PoTftv+BxKCE3BVv8sRYYlo0xw29uwL4l4RHWZsD0lPmEfSA+aQ/I0ZJD1hHskXuFtLREREREQ+79UnJBkUQNNkz77pG7/E3Px5SA9Lw+V9L0WIKaTN34UeMQbcM9qCjHDO2UdERERERETtF4fxpHbL4XAgLy9PLomYRQpUbAtJT5hH2pvc3FyEKkCI5ulJVxEZJAt9XSI746p+Vx7WQt+B5DDSqmBQogGxwdwtosOL7SHpCfNIesAckr8xg6QnzCP5Avdqqd1SVRUhISFyScQsUqBiW0h6wjzS3sycORNJLb6ybQ/2FOImdToOVqPFbzm0OTXUOzQ5pCiRv3JI5GvMI+kBc0j+xgySnjCP5Avc86B2y2AwIDIyUi6JmEUKVGwLSU+YR9qT+vp6Wewba2oeKnNVSC2sBivSw9P8msMv1jtx5jf12FHNYh/5L4dEvsY8kh4wh+RvzCDpCfNIvsBiH7VbbrcbdXV1cknELFKgYltIesI80p6IQp+zvh4nB5vkebVHb4wcfhamdDkJBsXg1xzWOz1FPivrMeTHHBL5GvNIesAckr8xg6QnzCP5Aot91G45nU4UFxfLJRGzSIGKbSHpCfNIu5o1axYeffRRHGFSEO52yctMJ52GbtHZGJo0xO85bPBuYjU29zokauscEvka80h6wBySvzGDpCfMI/mCkS8rtVcmkwnp6elQFP44Q8wiBS62haQnzCM1crlcePnll/HOO+/I85ckRwB1NUBEJCqG9keU2wWDavB7Dhsae/Zxr4j8mEMiX2MeSQ+YQ/I3ZpD0hHkkX2DPPmq3xI6zmMyUO9Dkb8wiMX9EbA+pWUVFBa677jpZ6BPf1R48/RQki0Kft1ffC6vfwLNLX9DF53K9EzAogIl7ReTHHBL5GvNIesAckr8xg6QnzCP5Andrqd1yOBwoKCiQSyJmkQIV20LSE+aRhGnTpmHBggWIjo7GS88/jyPyt3peGKsVmDwFw5OGYXDCQF3kUPTsCzIqLMiQX3NI5GvMI+kBc0j+xgySnjCP5AscsIba9REQFouFP86Q3zGLxPwRsT0MFF9++SXsdjvOPPNM+flXV1SKv3Jd2KhFYWy6AQnuEjlPn2oNxV3PvIvYT1+He/UKed3iMSeiwRWFiZnHyvOldW7kVGoob9Cws0FDtU1Dp0gVw5INCDUrshA3a7sLVTYNRtXTA08uVQVj0gwIMSnyNpYWuREdpMDu0uQcfLU2N2rrgnBqnKdH1boyF9aUuhEfosjbsLs8f+EWBbeNsDQN5Ul0OPH7IekJ80h6wBySvzGDpCfMI/kCi33UbhmNRnnEOJG/MYvE/JEv1NfXY+HChfjnn3/QKz4WE7K7wDB8NBRVvwMzsD3s2EpLS2WvvcahOi8bPgT222/EIMWAz854EzNyEtG/5C+43W70OvYC5Lz7BQYt/kFuvyUuGw+kXYhOK8rx6JGx8rJP1zrxy1bnbvdzRX8Tju9ikqdfWWqHew+1uP7xVlnsq7QBzy+277Y+yGjGmf09uzqbyt14Z+XuvasGJxowLNmCMDOHWaTDj+0h6QnzSHrAHJK/MYOkJ8wj+QKLfdRuiR+SxJHlZrNZzodBxCxSIGJb2PHMmDED3377LRYvXiw/56wATg9XYVMVmM48H+bLroFeMY8d29y5c5tO//zWGzjz249gdtogynLTnH/guy7n4YMvZsv1N0XWoMtfH8jTzvhkRD3yNM5qqMeM7c9jdt5JGJMyCv0SVGRHmxFlVeRfsAlYWeJGTJCn+GY1KrhvjAVhJgVOTYPLDTjckMso7zap4QruHmWRvQMtBlHkU2BW3TBoTplH8R1xdKoRWZEqSuo0aBpgNgAWo4JY720Q+QLbQ9IT5pH0gDkkf2MGSU+YR/IFFvuo3XI6nSgsLERycrIs+BExixSI2BZ2LFVVVbjzzjvlF38xrEfv3r0x2VmL+MLtcr3j0/dgPGoC1Kwu0CPmsWObM2eOXI4fMhiXrFsCs93WtC583gwcc/RReHXjPEyMiUCX7z/yrIiIRNhjzyIiNRYzVr0Lq9GNjLB0uUoU4XaVFNr6AK5+8YZ9PiaLQcGQpNbb2O0u5OcXwen0fEeMtCqItO77dogON7aHpCfMI+kBc0j+xgySnjCP5Ass9lG7ZTKZkJqaCoOBP94Qs0iBi21hx+AuKoR77SrsqKmThb7OnTvj5ZdfRpTFjLpzp7Ta1v76C7A+/Az0iHns2DujYkhZ0YvvTtUGo5j8DsA2GJEBJ7TtOcj5c6a87BrV7umCZ7XC+tBTUFPTsbUyBytKV6JXTE+kh6f59LEyh6QHzCHpCfNIesAckr8xg6QnzCP5Aot91G6JHg9ifGMif2MWifmjvdE0DR988AGyK0rRH06YL7oSSmhY03qbzYb/XHklbt+xFnHQkAngtiAFa3v1kvPS2p55BKiuktvWaxqCFAWuNSt1+4KzPew4NJcTWlkZlJgYKAYjli5ditraWjwUHw7j+jVym5y0LNy2eiM+DfcceGX5bjrSVCDc4ZlDz3zB5TB07wWH24GP130Ko2rECVnH+/yxM4ekB8wh6QnzSHrAHJK/MYOkJ8wj+QIrJdSujzAvKytDTEwMi37ELFLAYluob1988QU+eO5ZfBlhgFNcYDDCcvWNTevfffddpKxfhbjg5qELjzYrcGVmwrnoHzi//0peVpSQjK9ycnGlmGOstgZadRWUsHDoDfPY/jgcDmzatAk5q1Yi7O8/kOlyILquBlp+rnhDoQ4YDOu0Z/D5559jjAkYba+V11N79kHXR5/HpC9+xuL3n8EgVwP6Vpbh/pDmLFf27IKFW3/GoqIl2NmwE8d3moTEkASfPyfmkPSAOSQ9YR5JD5hD8jdmkPSEeSRfYLGP2jVVbT2vC5G/MIvkT8yfPu3YsQNPPfUUzrd4hjsUnF9+0lTsW7duHd5752283WK9YFYU9HU2wP7kQ54LgoKx8oSJqFzwCbCyTl7kLsiDQYfFPoF5bF+FvrPOOgs127fhyVAVnbxDc2ottnEvXYSdJxyBgfVOnBjiHTo9LBzW+x5DocuCn60TkHtFIdLffg9x9W5keW/DZjVhWtFn0FQF4eZwHJ1+FI5MP6LNnhtzSHrAHJKeMI+kB8wh+RszSHrCPNLhxmIftVtiCM+4uDh/PwwiZpH8im2hfv38889Q7XacFN76wBR37nb8snI1HnzwQYzQHEj2zj37Vr0bFwd5tk3/6mNo9Z7CnvmK65GWkolvfv+o6TYacnMQkt0DesM8tg8lJSVYuGABwgpykZS3DTeFG5GgeEp8paoBG2xObHNpGGRUkG1UYHW5cKK5uSi9beIoLC+agWGJp8vzESk98X7/JNw0L69pm+2p4RiYNAhDEgaja1QXqErbHaDFHJIeMIekJ8wj6QFzSP7GDJKeMI/kCyz2UbueB0kckS4mNBXjHBMxixSI2Bbql5jjbLgJCFdbf0bNeOQh3P3PYnn6kow4oHKn7Ck1M8uKo4pKkVHrhuIt9G3tEocekyYjtbQMW5bXAhGewuDmDXPQd/xx0BvmUf/q6+txxRVXYEjhDlwfrGJgqMiUp9BnPOEUpF13C6rWrMH8b77BM/Pm4H6lAeH2BiiaGyYNqAy34O2sSljL1qJbhMipih7RI5F6ciiK5lyNBG9Nr8vwE9G/xzl+eY7MIekBc0h6wjySHjCH5G/MIOkJ80i+wGIftVui0Jefn4/k5GSYzWZ/PxwKYMwiMX+0p/H3V6xYgUu8Qxo6NA01GhClKhi8dileDDMgslcfpK5bKddvHdYdpvQyrPylAhm1ds9tBFmw8pwJyHLZEBsbi3rVgGpNQ5iioDxnLWrstQg1h+jqxWd7qH/PPfcctm/fjltCW/e0M515HkyXXiMPoOrTpw969e6F5SUr8P6Wn1BWX4qQWgeyN5fD3rsnzulzHPrE9sayIpFvG4KNCgYOGoTqO+8HHv6fvL2gEeP89AyZQ9IHtoekJ8wj6QFzSP7GDJKeMI/kCyz2UbslevSJQp9YEjGLFKjYFurT+vXr0dDQgAExVsDlQK45CAuq63CmVYFVUdBbdKbyFvqEr7LdyA7pir+3bsQJZk8RJvia/+LssSc2bZOQkIDCqkKEGYHw8lr8sWMmJnc+AXrCPOrb3Llz8fnnn8NiNKCXxQC4XHApKoLvfQTGUZ759BqcNvxTMB9/5/2NsoadsBgsODbzGAxKGITQCSEINgU33V690ymXVu9XsbCjJsAp5lNWVRi6+W+YWeaQ9IA5JD1hHkkPmEPyN2aQ9IR5JF9gsY/aLXHkOXv0kR4wi8T80a6WLFkCUf/o5HbJ85HDRqJIsWKJ24a+wRao27cAOVug2uxY2iceMVl9cEmfi1DR7yoYZ/8BNTgYxgmtC3lJSUnIryhEVwBxlU58lPc3sqO6oHt0d928AWwP9auyshL33XefPH37GafB+ON0eTr49nuaCn2C0+3ED1t/hNVgxdHpR+GI1DEINYfu8TYbPLU+BBmbh6o1HnkM/I05JD1gDklPmEfSA+aQ/I0ZJD1hHskXWo/fo8MhsAYPHox777236bKMjAz5n6Hl3xtvvNG0vqysDGeddRYiIiLQq1cvzJo1q9Vtut1u3H333UhMTERKSoocyojaJ5GPkpISuSRiFilQsS3Un3Xr1uGzzz5DVwNg1NzyssQjjsTlt16Htadm4bFRTvzv9Djcc/NQPHzjMGy59Axc1vcS2YMqITERltPPgen4k3ebj1b0Zi9we+ZWi6yohwlGvLbiTczcMQu5ubn4/vvv5fccfw9Fws9mfc4HMW3aNPk9ecCAAZiQkda0Tu3RB1X2KqzbuV6eF0PDXt3vCvxvxJ04Puu4vRb6hKMzDZg+JQj94/W1S8F2kfSAOSQ9YR5JD5hD8jdmkPSEeaSA69n3+OOPY/HixTjhBM+R7aWlpXKOEfFjlhjKqlFmZmbT6VNOOQVbt27FO++8gy1btuDEE0+Uc+Z06tRJrheFQ3G74k8U+6644gp5W2eeeaYfniEdKn//qEnUiFkkf2L+/P/6Nxbmpk+fjqeeekoWvaakJgA1pfJytUdvbKveLgsqmeEZSAlLQWpoClLDUpAckrxbYW9PRM++Au/HnuJ04sZOU/FmwXf4detveO7lZ7Fj4w6E1FRh3BlnQRFDKbbRc3/wwQeRXF2BYSFW3DZrDrJ698Edd9whi5Okj0Lfp59+it9//x3BwUG4/z/Xw/3Rm3KdEhUNJCbhzaUvIL82H3cOux2Rlkh0ivB8b96vo1HFkLQ6xHaR9IA5JD1hHkkPmEPyN2aQ9IR5pIAp9q1du1YONRQeHt5qSKzQ0FBMmjRpjz+K/frrr/jrr78wf/58DB06VF62fPlyPPHEE3jxxRdRVVUli3z3338/rrvuOrm+oqJCnmexr/0xGo2tir5E/sIskj8xf/4ljsabOnUqQp0ODIqOwA/LVsKhAaefeirO3LpaFvuU6BgoCUkYqCQjLTQVccGxB3VfYnSDxd6efULUplzcMOZ6vP35O5ix8WecbFYw9I1n0TBvJqwPPwMlOAS+Nnv2bPz87beYHq4iQlVwh6bhofn/4JGzz8A5o4ajf3QktO05UJNTYb7pDihm87/eZl1dHQwGAywWi88ff0dXk5+HbddcjAEV5XgpVEV2iArTDZfCM7gsoPbsA1VVcWrXKSisK5SFvgOxpdyN0noN/RNUmA3/XrBuK2wXSQ+YQ9IT5pH0gDkkf2MGSU+YR/IFfY2506KqffHFF+P000+XQw01Er38Bg4cuNej38URy126dGkq9Aknn3wyfvvtN3l6zpw5aGhokD/KtVy/Zs0a5Ofn+/Q5kW+OVBc/soolkT8xi8T8Ba7NmzfLvxt25uKCrWvwWYQBM1IicH3+JmDLRs9Gx50Im8suTx5soU8YP3486jK7oNpb8HPOmoGGmgZ89tqn8vzxwZ6vde7VK9Bw3+1t8vn44YcfYogRstAnDDApmB5hwMMmB/osmA3Xz9/BvWYlnL/9BMcHb/3r7YkekWeffTYuuuginz/2jm7zxo1YfuFZyKyuQKpBQS+jApOtoXkDgwHKMRPlyfTwNAxNHHLA9/HTFicenGtrmrtPL/i5THrAHJKeMI+kB8wh+RszSHrCPFLAFPueeeYZOVznrvPpiZ59O3bskENyBgUFyaLeL7/80rQ+Ly8Pffv2bXWdrKwsOayny+WS66Ojo+XwnY3EeTG/36ZNm/b5mIqLi7F69epWf43XET9MNbLb7U1dcMV9tlwnTovLBLGN2HZf6xp/pBPrGuel23WduLxxnbjs39Y1PjZxeeNj23Xdro9br89JXJ6TkwObzdZhnlNHfJ8C4TmJgwi2bdsmb7ujPKeO+D511OdUX18v52sTl3eU59Se3ifxfSBNBbJa9Goy19bAvXaVPK0kpWDB6C64e8492FqZc0jPSbjjnnsw21tYcc6fg7eefw7V1dUYNmQIsloM3elevACu1St8+j6tXLlSfjc7NtiEval0ayj3Ficdn7wHx4a1+3yfxAFY4vva1g0bULZxPbN3kO+TGCFj+hUXo7+7OfdqnwFQJp4I01U3wvr4i2h49wM8gD+xtHjZQf9/anBq8j5Nir7aCPEn2kXRS9TfbURHbPf4nPbvfRL7KCKH4nsi3ydmz9//n8RS7K+IPLKNYLvnr7ZcLMVvfeLzmZ9P/Mz1x3cjkT3x2dz4fZHfjfh9z5/fy8VS1DlELvm9nPsazn1kr10X+0QB7e6778Zrr72GqKioVusWLFggh/WcNm0avv76a8THx8s5+datWyfXix88IyNbDz8khv0UL5QYrnNP6xu3KSkp2efjeumll9C7d+9Wf6JXoLBz586m7QoKCpq+uNTW1qKwsLBpnTgtLhPENmLblsVE8WOdIL6Ai56Gjf/RxVyFYghSQbzRYl1jg1FWVoby8nJ5WjxPsa4xGOJysV4Q24t1jY2LuD1xu4K4H7Gu8Yu/eBzi8ej9OYkenuL2GoPfEZ5TR3yfAuE5icdhMplkF/yO8pw64vvUUZ+T+HxLTEyUwx52lOfUnt4nUezrY2wu9JnOPB/qEUfDFRsPhEfAcstdMBlCkGhKkHP0HepzEgcs7cjs2jRvX/Cv38thGC+ecAyMu3wRbCw4Nj4ncbuiJ54Y4vxwvE9iCE8xKOfIxuffZwCMUy+C7dxLUH3L/6C+9yW+PvUC3FDpgFO8vm4XGr74ZLfnJL5HOWpqULd1C+bNmycvfzhEheWqC1DzzXRm7yDepzfeeAM9nN4fdEPDEPzN77A8+RKKTzsXzuMmwzBgMP4uX4XyunIYVeNB/3+qdwKaywFbXY2u3ifxeSzaRfH93t9tREds9/ic9u99Eq+lyKEo+vF9Yvb8/f9JtIti/7nxQFm2EWz3/NGWixyKg+1b/v7Gzyd+5rbldyORPfHZLLLI7DF7/v5eLnIo6hTiPL+Xc1+jah/ZOxCK1pgmHRAPZdy4cejcuTPeessz1JM4L/7uvfdeLFu2TPbqE18OGiue2dnZmDJlCp588kmcc845snAnCoWNxNBaYmhPUSn/8ccf5fx9GzZsaHW/aWlpePjhh3Huuefu9bGJ/3i7FgRFYVIU/JYuXYr+/fvLy0TjIP6zih/eRIMhClGiCCCIL1PicvGDrLhcPH6zd+6aPa0T1xNfyMU6sRS3u+u6xqNgGosMYtt9rWt8bI3DX4ptd1236+Pmc+L7xOzx/xPbCLbl/Hzaczsghh0/adt6TLKoQHAIgr+aAaiqTz9zv5o+HQNefRKJ3qEzV6dkou/pZ8H1zCOtvqfUjx6J2Hufbuq1c/PNN8sDp44//nj5vepQv0eIkRg2Tf8ET4Ya5Hbm/z0M09jxuz1u8RpN3bwKw00KEBsP03tfNH3/Eb34Lr30UjyAOvRwNOC7bv3w1oIl+CrCc5uIiETw+19Cswbxu9EBvE/iNb1i+zr0NypQevZB8HNvtHoPxfWmzX8Udc463D/yHhhUw0F937vzzwZsKXfhgxOtbCP4vZz7Gtx/4n4u9935ewR/Y+FvYfx9j79Z8ndY/rbMGgD33XH4ajVi1B7R6WzVqlXo1asX2lWx74UXXsCjjz4qH3xjQa9lsW9PzjrrLFmEE/P13XDDDbKQJ4p6jcSPWsOGDZNHjf/5559yvr7GynqjkJAQfPDBB7JoeCDE0fwH8mLT4SX+E4iqt+jtKcJP5C/MIvkT8+c/ojgyduxYvBPkRppBgWHICFgffqbVNvXOegQZgw7r/Yqjva49/jg8HKIg3lvwg9kC2G2wKwqWOtwYZlRQHhOChI9/gQEGOWpC49Dnl3dKwcVXXwPjkcce0uO49dZbEfL3TNzinSsw6MNv4I6J3e2zWYyOUPnJ27je7N3ujY+hZmbJL6+XX345SlevxCfh3uIegLtrXXggpPm86YLLYD7v0kN6rIFGjHzxRE2RnKvPcMTRsN79UKv126q24Zklz2NsyhhM6XrSQd/PTb83oMqm4Y1Jhzfjh4rtIukBc0h6wjySHjCH5G/MIOkJ80i+qD/pahjP6dOny7GTRRdWUe0Uf6JAd99998nTM2bM2O06YriBxi6N/fr1k8W9lmPkLl68WM7vJ25TrBddZ8X8Mo1EdVRclpyc3EbPkg4XUacWw5DoqF5NAYpZJOYvMIke/mEupyz0CfnpvVFp83wmuTUN60rt+L/Zj+DpRR9jVYlL/i0tdMHu8mxT79Cwcacby4tcWFHswvoyF5YVubC21DN8nrCzXpPn15S6sNp7GwVaFAxDj8UV1W6UxyZ4NrR7huUqjkrCSnOMPB1VVosZq76RPfB+/GctlKTeGBqdiqnlhbA9dDfy1mw5pOcvhiaJa/wmKb63xcTusT3sPaA31o7xHMQl5PzxuVw+++yzct6/QS2GQRUmeouCjRyffwitsuKQHmsgEa99WVlp03ujxMbtVuh7Z/X78vSQxMGHdF/RVgWpYbranZD4uUx6wBySnjCPpAfMIfkbM0h6wjySL+iqO5SYX6SmxjPnRyMxDNHgwYNx4YUXYuTIkbKK2bNnT7lu69atcr6Ya665puko5iuvvBKvv/46rr76annE/SuvvIKjjjpKFgvFEKADBw7EI488gs8++6zphyYxN+CgQYP88IzpUIhurUlJSXwRye+YRWL+ApP4TtK7xTepV+09cU6lG/3iDaixA//9cwmgVmPzzkjMzPEU44T3TgiC2QBsqnDjzj+bL28UaVHw3omenlJ/5zrxxvLmg5gadT7uJkw9bhSSxo3DujvuReaqP+XlS+IHY1lyKrDqJXl+4S8f4Lf15XAMugwxvSbgnG9vACo9t/H1Z/Mw9fZOiLS2LrYdSLEv3ntVJToWitEIMehjy8/mzRVbMEf5B8UpZhSaFSTaNdTM/QOPJxgxfcZ02fvv9G6ZwI6tTdcZJYb7FHMbKCqCNbeY5AD2j9+F5cr/HNTjDDRiBAuzwwFLsKd3pOot9omdyb/z5uCbzd/J78Vndz8TqWEph3Rfd42yQI/4uUx6wBySnjCPpAfMIfkbM0h6wjxShy/2ibn1diXm4BOTpw4fPhxHH320nCPvP//5j+y99/TTT8shOMXwnUJsbKwcpkqsnzVrlhzSU3R1FEXERmLOvmOPPRZHHnmk7PH3008/4amnnuIwkO2Q+NFK/DX2AiViFikQsS30HzGXcF9vrz6XasBxx/VFRrinl5NR0ZAVNQd1TjOOzxwJo2qCWwPMBgXBnmnQkBCs4ILeJgSZFM9RfS4g2KTA1KKjVO9YAy7pKzvOQdxT46idscEWDEueJE9r//cQtnz5ESI2rUTMqWcj74WXm67fa00Z5g0NR0bSXHSOdaFT3Y6mdX0cebDJXoYH/hkqeu+JIdLjvfP1KXHxrT6bS+tL8f3WH7GydBUMigFRRZGYU12CUy0qOudUYNOqGQjuF4KrB1+BzE/f3ON9/B5rxtGxGQhaux7Ob6bDdMpZUOO9PRlpr8SoF3Et3lLR49LmsuHT9Z9jafEyxAbF4sJe5yEl9NAKfXrGdpH0gDkkPWEeSQ+YQ/I3ZpD0hHmkDl/s+zcff/wxrrvuOvzf//2frH6L4t+DDz6ItLS0pm3uuusuef7VV1+VxT8xDOiQIUOa1osi319//SWHBhU/hohC4CWXXOKnZ0SHQhR88/Pz5RCsZrOZLyb5DbNI/sT8HTqXy4XNmzdjxYoVyMnJwejRo+VBRv/2xVwU+6Z4h6AsSuqGcdmhTeu3VW+AqhZgYqdROLlr8xCWLcWHqDi1+76HQMyKUuXfvvROMAFXXSBPpwPo3+W/aLgjD9aczThuhx1ZYVHY6TahaMuviHQ09yQcUr8FQSHqQffqExJNBkBzNRX7GvOYZ8iXhb6+sX1wYufj8Xf533j7pwcxxeIZQ/7y38qhREej25a3AO8QnatDVPSqdTfdx9osE3KzzbhqrbhhOzY//T90mfYKD/D5F+L7bUyLt1WJjccvOTNkoU+8H2d1P+OwzCMp/g98tMaJLlEqhiU3z7GoB2wXSQ+YQ9IT5pH0gDkkf2MGSU+YRwrIYp/oodcoJiYGH3300b9e54ILLpB/ezNixAj8/PPPh+0xkn+Iob/i4+PZK5P8jlkk5q99KikpwQMPPCCLdmL+3kaffPIJrujTAyf164O4i6+AEh6xx2JXVXExsiM8RY6izD7oKgqHmgszt8/Czzm/yh5tR6SOQVsTn43uB55A/dUXANVV6LZmIyD+duHavKGph/zBFvti4ZmbTxT7Gpw2GAyqvP9USypSI1KREZ7eNNT6Bx98gBnF2zDBrKK7uFrZzuYbNJmRdO+zMFdXwP7soyiyVePvVbUw7NyBgdFGDNvpRMLCZXj8rf/g6vMeRqg55OBfoEDo2dfYBdQ7Z1+ywY1+cX1xQc/zDluxtMEJfLrWgfEZBt0V+/i5THrAHJKeMI+kB8wh+RszSHrCPJIvHNzh3EQ6oKoqgoOD5ZKIWaRAxbbw4M2YMQNz586VhT7RS/y4447DZWediYfCTThnxwaEfP8FKm+7Hppj9znzRIGwh1EM1+k5Hz6gHwprC/Hskhfww9afEBMUg+sGXC2HTPQHNSkZ1oeegtqtJ2De87xqSm0tfp/fPKzngSgoKECoAljEnHri/uIS8Pv2P/DQgkdQr9TDaDA2FfoEg8GAm2++GR86DagzeI41U5JTYTjyWJivvhFBr3+ItAEDYRo7HsGf/oCPhk5AZZ4DOxeW4bVcJ8S9iHLSKd8uxDPf3Y2y+haFQmpFDK8au8swnoMTBuHCXucf1l6R9U7PMqjxP4GOsF0kPWAOSU+YR9ID5pD8jRkkPWEeKSB79hHta9i16upqhIWFyR8RifyFWSR/Yv4O3vbt2+Xy+uuvx/nnnw/XxvWw3XUTNLV5KEnTxnWwv/kSLFf+p9V1ly5dij7e+foEY59gPLHoabg1N45MG4fjOk2ASfVOzucnhp59EPTi29DcbmilJdDydyB31So88+ILeDDE87lZsmoNMLy5KLcrMSTnnnrRi2JffMuCUmw8ws1BiLZEQWlQ4DK7dvtsFiMrfPjHLFg0TQ7Luacek/K2jEbccuttmHzyFMTFxSEhIQHON1+G49P3kFTrxgXv/oMf3Y9h6mnToCo84GdPPftiG1+WsHDYDAqsOPzqnZ5enUH+jfkesV0kPWAOSU+YR9ID5pD8jRkkPWEeyRf4Cwm1W263G7W1tXJJxCxSoGJbeOjFvqysLDmcpf2ZR6CVlcrLijp1xTpvMcP54zfQXK5W112yZAn6eHs0Kanp+KViIYyqEdcPuBaTO5/g90JfS4qqQo1PgKH/YMSdcgYWteioqG39UBYo92TRokWYPHky3n777d3W5eXlIa7lvHDxCRiTOhpX9bkC9XX1e/1stlqtUIKC9lroa7ld3759kZSUJI94NF16NWrGHSPXRde5cMJbf6Esd8N+vgKBWOzzZjMmDg8veBQfrf3ksN+Pnnv2sV0kPWAOSU+YR9ID5pD8jRkkPWEeyRdY7KN2y2QyISUlRS6JmEUKVIHUFooJrL/++mtUVlYeltvLzc2Vy7S0NLiXLoJ7/Rp53njq2XD993/42u4p9qGuFu7NzYWl4uJibM/JQW9vkWNBVG90Dr8Ql/S+CJkRGdAzMfx1UlYWcl2e55Za3IA6R/N8hS0tXLhQLlcuXtxqKNP58+fj119/RXyLeeG02Bif5lEMPxl16//wks1z3uxwIXLdlsN6Hx1xGE8tOhqdIjIRExTts559wTocJySQ2kXSL+aQ9IR5JD1gDsnfmEHSE+aRfIHFPiIiImoXvv32Wzz44IN46pwz4Pjle7gL8g/6tux2OwoLC2WvMTFfn/3jdz0rrFaYz7kQnbt0wTpD81x37hVLW/V4yzIAwd6CyuKY3rC7gtA1qgvag379+mGTt6NieokNZkPIHrfLyclBtALcsWkZ6i84DVpdrbzstttuk0chHjOgv2dDVcUD61/Fj1t/9unjNpvNWJ6ahQYxDKh4T9au8un9tVehBbnI8I6gaoxLkHP1Tcg89rDfT4hJwcgUA1LDuDtBRERERERE5G/cO6d2S/xQu23bNrkkYhYpUAVSW7hs2TL0MgC32ipgf/wB1J83BXXnnQLbU9PgnDkDWmXFft+WGIZSFKwSExOhbt4I91JPLzbjpJOgRETKImBMz14ocnsKS67lS1r1eGs5X9/6pDKoaEB7IYp9G709++JqilBWUimHMd3V1q1bcbZFQRg0aMWFqP79F9xwww2oqanB+PHjMTAlSW7njAhHlbsOVoPV53ns0q0b1nkLlWVL/8aiosUIdKK368MPP4yPPvoIi37+EdeXbkeQ4smnYfQ4n91vVqSK20dY0C9Bf/MmB1K7SPrFHJKeMI+kB8wh+RszSHrCPJIvsNhH7ZbRaERMTIxcEjGLFKgCqS2srq5umievkVaQJ+fUsz10F+rOOgHORf/s123t2LFDLtPT0+H4xNurz2iE6bSpTdv06dsXy72FJeeKpXDbbLJI+M8//6CP9+VuCAlGQdRa1Dg98/+1n559zcW9n/94CEtLlu82WbiY0zC9RVHz2w/el0Ofdu/eHffddx/c61fLy8uSouSyd2wvn+cxOzsba73DR4bmFmFr0ToEsvr6ekybNg1ffPEFnnrqKSx48B4Ee9e5rrweTxrnY27+PASaQGoXSb+YQ9IT5pH0gDkkf2MGSU+YR/IF7gFTuyV6XYSGhvr7YRAxi+RXgdQWiuLTaO9hSpVuDTPCYnBCejKsWzYCNpuY1A/OLz+FcfDw/S729YuOhOvvGfK08aiJUOMTmrbpNrw7Fm8JxbHLa6HU1mDz2UfhxTQzHFluDNpkBFxuNHQfDLjPR2Z4N7QXqampKAmNAFAjzwdvz8X3m/9GXmVXbK8yYVuVG5FaFRyaAXGqu+l6DncMlJHH4djzT8Wm3Fpk5XnmPFwRZ4SCeKwvi8KHBQ5YjGbEBbswIAHoEqXC7tIwY6sTWyo0DEs2YHuVGxU2DbFBCk7O9syptq3SjXVlbjkPXEyQgho7UFDjRtdoFWPSPF9X15a5sDVyKAqjuuPs+g0waMApSk8EsqKiItlDNTIyEkeNG4eTZv8MuBzIDQmDNn4wCle8Drureb7Fw2lurhOzc124oLcJiaH6On4wkNpF0i/mkPSEeSQ9YA7J35hB0hPmkXyBxT5qt0Svg9raWoSEhMBg0N8QUhQ4mEVi/trm/5noVZcR5Olplmc04/m8ErxcVI4rL7kEZ5bmwv37z3Atng+tshJKhChm/Xuxb3Sxp2AFRYHprPOb1jvdTix2L8WqPvHYsC4H2TYNyVUOPLTagdxIEyJdniJYea8RUNAZll16HOqZoihI69cfFUtnI1JVkFhkxQeFW7Cw4EVojrORm1OGWpsL0Qk9kVm7oul66ZodEYOmYHpOEOpK5iHLe/nKOAs2lnXD46V2QNNk8UnsuFgMZlnsq3MA76x0wOYCZuQ4m24vPri52Le40CW32dWR6YamYt8X65yYV52A8r4XAvPvkJeVL1uJ2D4DEMjFPiErKwv/PXocbLO+85y/4jr8VrnVczqik0/ue2ulhjm5Lpzd0/Me6gk/l0kPmEPSE+aR9IA5JH9jBklPmEfyBRb7qN0SPyZWVlYiKCiIxT5iFilgBUpbmJ+fL78MdzJ6nmPPCcfhNIcB06dPxwuvvoodnTNxk1jhcsE5+3eYTjhln7e3du1axCtA2pb1TXObqWkZTet/zvkVhbWFOHnImbjr41dwrLMaF1gAk8uF1ApPUUrN7o64k0/ALRUqOke2n2Kf0FcM5bloNgarQPdyO0YkTcC26hnYmfd/sP69Gf0cKbisYTsMLYqYWRUb8dnp0civBSI/Wisv0xQF5RlhuKRLX5hVMwbGuVFWUgw1LA5xoZ73KtKq4J7RFoSZFSwocCEzQkV6uAK7d4hUYUSKQV4eZASK6zRYDEBGhApTiw5jx3Qy4qyeJpwz/WvsVC2IdttQsmEJthb2xJDEwQjkYp+Ye9L507eeC61BMI47Gls2vAezwYyUsGSf3LfohSmI90xvAqVdJH1jDklPmEfSA+aQ/I0ZJD1hHskXdLh7TrR/TCYT0tLS+HKR3zGLxPz5nuiJF6cAQd7z5s7ZuP3k0zF+/Hg5f9x3m3NwfoQBsQrgnDljn8W+LVu2YPXq1bg9zATF7emhZzr7gqb1a8vW4fftfyAtLA2Te5yASV9PlD3VTBXlsL/8NFx/zwLMFphvuhMJ4WYkhKPd6d+/P+a7NAw2KQjN34r/6zcWT325Gr9UrUbMcdF4+KsdiNilt2I83AhW7IiKNqNh8zKIV640IQzhkTE4qUum7DEoJIan7nZ/veM8BRdRwNuTpFAVSd5RF3vs5TGLIUDlbaAQxS4XohXAXboFH637FCGmEPSM2ds1O66aTRtgBpAZGQHXz7/Jy4xHHgOX1YJtVduRGZEJg+KbYle9tyNmkA57tfJzmfSAOSQ9YR5JD5hD8jdmkPSEeSRf0NcEG0RERER7ma8vo0XNQs3wDE04dOhQfPrppxg6fDj+sHkKd67lS/D7NZfB9uh9cBfmN11H0zSsWbMG77//PvoagOMMnu0NQ0fAkN1cKOoWnY2Jmcfisj4Xw6SaZO8gi8UCNSER1nsfRdBrHyDojY9g6JINt6bJ221vunfvjg3wvqBuF9b98C0+ffYTVH67E0cEpyFiL0/J+ftPaLj2IrjXrJTntyQHo3dMr6ZCX1uIi4tDidNTaUpvsCDYaMX7az5EcV0J/EWrqZa501wtuiv6yObNm3HNNdfg5WOOwEk/fo77QlT031kk30fBeNxk5NXkweF2+GwIT7337CMiIiIiIiIKNCz2UbvlcDhkTw+xJGIWKVAFSlsoin29DM0FJcVb7BNCQ0Nx/vnn4w+z52uN2Gr4+hVwzvgR9bdcDXdpsbz8r7/+ktut//E73B3i/QpkscB87S3y5IbyDXBpLqiKigmZxyLMHLbHx6JmdYWa7Om99uFqJ6Z8WY+8ak/hsL0wm81wZHVtOj/z1ZfkMCJTJ0/F1RFjmy6vio/COw3Nz83+zKNwb/QMfVoRYcX8sV0wNnVMm+YxPj4eJW5PoUktK8MFvc6DzWXDm6veRoOz4bDel9PplJm56qqrdivqinVffvklvnj/PVRdeg4abr4Kzp++ga+H7bzoootQvHA+ztc8z3WkSUHWqqXytJKZBbVHb2ws3yzPZ0Vk+uyx1Dshh1s1qPrr2Rco7SLpG3NIesI8kh4wh+RvzCDpCfNIvsBiH7VbYki1iIgIuSRiFilQBUJb+NZbbyH0h69wcZD3OYaFQ4mKbrXNoEGDUBgUhoLgXV6HwgLkXT8V/6z9BUtWLpHz9D0XqiLeW6AwX3SlLNytKFmJl5e/hhnbfj+gx2ZzaRB1J3M7nBas06DBKPIWzTJt9Rg4cKDsMWZav0FeZgsy4597rsSyTt1aX9FkRukpx+OFq4bglJFXID44rk3zKIp9xY31x7padDUnY3LnE1BcV4wP1n4Et3b4Cq+zZs2SvUFLFy9E4VuvQrPbm9Z9+OGHmDZtGpyvPQ+jt6DsnPETfOmxxx5DXV0dbt4l56aaKs9y4mRZsJ6TPxehplB0Cvddz74j0w04o4cJehQI7SLpH3NIesI8kh4wh+RvzCDpCfNIvsA9YGq3DAYDwsPD5ZKIWaRA1dHbQtGj772XX8K5xubhEY2jxzUNGymGbpyTN1c+//Gjj8LMcmfTdnVWzwx/0cVViHnoUSwzz8PoUBVB3uuaL78OxlPPlqfFfG+jU0ZhRNKwA3p8Nu/dWVr0Omwvxo0bh7Uuz+PuY1bx8IMPytfRtdYzRKe190DEhMTgpXfehqtvX3mZOmI0gt78BHGX/Re3j/mfHPK0rfPo6dnXfF4rLcYRqWMxKGEgVpetwdz8eYftvj7//HNYADwVqiL847fhePc1ebkouL377rvIUoETLC2+TttsONzEHJOvv/46zjzzTPz55584IsSCPnuaJ89ohPGY47CkaCkqbBU4InUMTAbfFePGphtxend9Fvs6ertI7QNzSHrCPJIeMIfkb8wg6QnzSL7AYh+1W2K4sZqaGrkkYhYpUHX0tnDRokVyfj1DY4Hu+lthvvH/UOuoxZcbv8KjCx/HFxu/ws6GnTj77LOxPDkTtSYztrk0PJLUGcZjJsnrJRfW4j9/5KN/jLc4ERqG3GNH4uecX+RZo2rEqV2nIMIScUCPz+7y9IwTwxm2N/369cPYy66Qp6OhwXr+FNRdeDq0vFx5mbFXPzlEpygYhT32MoI++hZBDzwJNTkFwaYgRFjC/ZJHT8++5iE13cXFsvh7RvZpCDYGYXbenMMyj+LWrVuxePFiHGNWEO3tCer49H05L98nn3yCqqoqTMzwDOfa9Fjydxy2ORzFkJ0i02eccQZeffVVOVdfWFgobk2Ll+trNeB3e/PrbBg1Dq6wUPyybQYsBgtGpYxEoOro7SK1D8wh6QnzSHrAHJK/MYOkJ8wj+QKLfdRuiblyysrK5JKIWaRA1dHbwoULF6J/Yy8m1QDj0ROxqHgJHpr/iCzqpIam4roB1yDaGo3MzEy88OnnML7/FS6qdmP+2vVQb7gNhjFHyqt3K3XgiArP67Qj3ornl72MP3bMkr0DD5bN2+HQ1A6LfULImHFi/BDPGacTWu72pnWGnn2aTitGI9T4BF3kURb7WtTT3MWFcmk2mDEkcYgcznNz5ZZDvp8ff/xRLi+IDm11ed38ufjggw/k6WO6ZLW+Ul0dUFGOw+GPP/7Axo0bERYWhsmTJ+O5557DT5dfhNDCfLl+XlwKvrM3vxCm40+WRespXU7C6dmnIsjo6dnqKzf/3oBnFh7+noyHQ0dvF6l9YA5JT5hH0gPmkPyNGSQ9YR7JF4w+uVWiNmA2m5GRkcHXmvyOWSTmzzdEDynRs+90b7FPze4Oh8WEzzZMR7AxGKf1PBUD4vo1DenZKDo2Finp6XII0O9++BFT7ngAVZecBWO+p8eaUJIciW7R3XBS5xNbzTl3MMU+0atP3eUxtBdqRhaCXv8QrlUroOXnwp23A1pBHtQu2VD7D9JleyiKfaUtOmzVFxbD7D09MnkE/sz9Sw7l2SWy8yFl75dffkF/IxDfUNdqXc5br8hefQMGDEBsdTl27Tvmzs+FYZc5JQ/G+vXr5fLqq6/G6aefDtfiBWh462V5mRKfiJ0jx2PppnfwaWImpkw9HY5eXREJoHdsL7SF7VVuhOu0Sys/l0kPmEPSE+aR9IA5JH9jBklPmEfyBRb7iIiISJfEXGWOinJ0jfAUFAz9BmFjxSY43U4cmTYOA+P77/W6p556Kp5++mlMmzYN+fn5OKZzd6S2KPaNGHMuxvSdeMiP8eqBJtQ69Dlv2YEU/MRfexEZGSnnpytTTIjR7LAXFjWtc1Y4MCZ5NOKCYw/pPtauXStzc3lUEKDZ4VJVrLK70M+oIDNnEy63Khh46aVw3/9fuf1ii4JBNk8vO1EwNfTyzHF4KDZs2CCX3bp1k0OH2l58UlQhAasVlvsfxxGqEe998QWsk0/CC1EbYFi2Gf8dchNMqu/z6HJrstAdxD0JIiIiIiIiIl3gMJ7UbjkcDuTl5cklEbNIgaojt4Xfffcdeotec97zar+BWFu2Tp7uGdN9n9edOnUqbr/9dqiqinfeeQePz57Xar3ouXY4xAWryIzg16m2zKN4T+Pi4lDs8gzRGFJVgoaGBtx7/wM44bRzkD8jD6NTRjVtX2PXUFzrhvtf5tJruf7rr7+GGARztOoZp9U9aDieqHOj3DtX4FSril7T3wNsnmEsF/UIhtvbubNq69pDfo52u13O0Sd6rXbp0gXO33+Btj1HrjOddykMXbKRlZWFmTNn4pwzzsH4tHE4OmN8mxT6hHrv6JhBjUPs6kxHbhep/WAOSU+YR9ID5pD8jRkkPWEeyRd4PC61W+LHvpCQELkkYhYpUHXUtlAMwfnJJ5/gPGPz81J79MLa1TMRY41GXNC/D7152mmnIS0tDbfddhuWVVQBkc1DDiqph2eoybxqN0wqEB/SsV5/vedRDuW5sQgwK6hevwGnPTIXhepxwMRJ2LZpPl585U+cdcEYxAYbcO9sGzaUu2FWgaRQFcmhCnY2aDgyw4hJnY2wuTRc+0sDius0RFgUNOzMx8q8JJzY/WiYCmfK+1s9+CRsib4EF+T8g+e3fo4MewXcSxc1PZ4NwSqKzUFItNVj1Yo1mPFnA6rtQLVdw/GdjTi1u6cId80v9XBpwMQsI07ONu2zV6vL5ZJDogaZTKh/7zV5uRITB9PJpzdt59bcUBUVo1JGoi3VOz1FzyCddmrtqO0itS/MIekJ80h6wBySvzGDpCfMI/kC94Cp3TIYDHIoL7EkYhYpUHXUtlAMwSkmrB6bnCDPKylpKFbrsLNhJ3rE9Nhtnr69GTZsmOzZl5qaipfrPbOrGY48Bspher1EIenhefbDclsdQVvlsV+/flguqmYAQmvK8cTiZ5FYthyjNn6Ne1e+iwu+uA2f/PGUXH9BXxMmdDKiT7wBdpeG+QUu7KhyIyHEkyGLQUFauIphyQaYbDuxYv0WOON74RhDrefOIqOQNHYkesYZsSOqM64ddRc2J/VseiwuVcG6lfXY7hZ9AYG4Cie2VGhocGqIsioIMjVntWesAaV1Gn7L8fQY3J8hPJ0/fg2tsECeN517MRSLVZ7Orc7Dc0tflP8n2pree/Z11HaR2hfmkPSEeSQ9YA7J35hB0hPmkXyBPfuo3XK73XLYLqvVyiO3iVmkgNUR28K5c+di9uzZCA4OQie3Zxg+NbsHVpSskqf7xR3YfGiZmZn4+OOPUVhQgCCLCUpi8mF7rGLeshjWE9o8j5dffjkunjMHMwu24Eizit71hfjR+TeK81YDqiKPZutTXA5N09AnziD/GjlcmtgEBvGP1/9GW7Bjxw5ccNcFCK2qwplnnomRVZ4hYw0DhiArzowPzs/Gr7/mYFPMWrw/NBKnfRuL3mtLUdwtHRHbbcivyQcsKjKqd+Cd4w0wG827Pe5rBpmxucKNau/8fnuzbp13uNqsLDg+eEueVpJSYJx4YtM2q8pWY1vVNuxsKEe0NRptKTZIwV0jLUgM1WexryO2i9T+MIekJ8wj6QFzSP7GDJKeMI/kC9z7pXZL9PgoLi6WSyJmkQJVR2sLxfN46ilPj6zrzjkHSkW5PG3o1gPHZByF6wdci84RWQd8u0FBQeiUlQU1Je2w9eoTxBCQFp32burIeRRFnMefegp/DzsCJVme+RfV9WuQ2KKANwJpe+wBajIorQp9QlVVFf7zn//I5ejRo3HjKScB1VVynaHfAM/tqyomTpyI7Lhs9EsZgtIbrsHGaf+H9MfeRkpKCpo669XV4aXf7sfS4mV7fOwWg6dI/G/D2ApDS/KglXt67pkvvByKqXnczDVlaxFkDEKniEy0tWCTgqHJBqSH63NXoqO1i9Q+MYekJ8wj6QFzSP7GDJKeMI/kC+zZR+2WyWRCenr6fg/lRsQsUkfU0drCzz//HDk5OfI5Te7ZDY0/1atdu8vn6I/Cxt6IXmOiaCOKN9T2eRQFtkcefwKa3Q7bPbfCtXBeq/XubVv3+7ZeeOEFWWDr2rUrpk2bBu3XH5rWGfoOxIqSldCgyV6lx2Ye3XzFzp6FuN6aJQuaLo4uqoLD5emVuisxbKjN5RlSdm9KS0shOs0lzZ0lzyuZnWEYd0zT+ip7FXZU78CA+P4wKG0fQNE7UvRNNBv02e50tHaR2ifmkPSEeSQ9YA7J35hB0hPmkXxBn4fjEu0H8QOOOMqeP+SQvzGLxPwdHkVFRXjttdfk6VuuuhLarBmN/8nwg7IJ63au11XYnG7ArbHY5+/2UDGbYbn3EagDBre6vHrTalz0zqVYvnL5v97GypUr5fL2229HcHAwXCuWeG47KhpKWgZm7fgTH679GDaXbY/X79WrF7a26K13hnUQhiYN2eO2U7KNuHbQ7kN8tlRWVoaTzQrU+jp53nzxla16pK4t8w7zGd0D/jA714XTvqrHgvx/6aLoJ/xcJj1gDklPmEfSA+aQ/I0ZJD1hHskXWOyjdsvhcKCgoEAuiZhFClQdpS0U8/SdccYZcFVX484u6ej3wqNw/fWHXOdOz8DMnQuxqnQ19MTultPDcRhPHeRRsVhhfehp/DxwFH60eXrNWYvLUFydj9sev10Oz7mvuRK2bdsmT3fu3BmarQGupYvkebXPALkTdmHv83Fhr/NhMVj2eBu9e/dGhQZUwlPkVLZ7bq/SVomvN30Ll9ZcFOuXYMCYNOM+h3MpLy9HV+/wsEpCEgwjxrTaZmP5JrnsHt0N/lDv8Mw5aNXpGCEdpV2k9o05JD1hHkkPmEPyN2aQ9IR5JF/Q6S46dWQul+uwHPUvrm+xWNizj/yOWSTm79CJefrSGmrxVIwFIaV5TZer3XrCev2t+F9Gkhg4U1dhCzEp+OqUIJ09qsBtD0UPP1v/wVg1ezYmWQBV05C904GLq2pQedpELIiMxfLQKGw2B2Hk6NE499xz5fUKCwtht9sRExOD0NBQOL6Z3jRfn3HMOLkMN4ejZ0z4Xu87KSkJkZGR2OKswgCjAneOZwjR2Xlz8GfuX3KozRM7H99qCFj5mPfwOu3c6ZmjL8Ekvqa7ZLFv1+02V25BQnA8Qs2h8Id67/i6QTqdr5Kfy6QHzCHpCfNIesAckr8xg6QnzCP5Anv2UZs6//zzce7okah67nG4c7cf0m0ZjUZER0fLJZE/MYvE/P27xYsXy7nQ/vzzz6beNuKyyZMn46Pnn0P5thxcH2pCiMtTRVA7Z8PywBOwvvAWDN16IMoaiShrlD6H3uC8YLppDxMTE5Ejxlb1Om9hDbJq3Ih2uzBiZxGu3L4Ot21YgtpXn4OttkZu09irLyMjA5rLCcfnH8rzSmIy1DFHYk7eXFTa9t4zUG6rKHIozxyX1jRfoOZ2Y2LmsUgMScSc/LlwuT29+95daceUL+tRVq/tdb4+IU50GxW3HRPbav3Ohp2osFUgKyIL/tJY7As2QZf8nUMi5pD0hu0i6QFzSP7GDJKeMI/kC9wDpjbVr74KF4YoMH73BQoXLIbx5fcRH+6Zt6aiQcMvW53oG6/i7RUOnNnDhEGJnvlpqu0a8qrdqLEDERYFSaEKPlptx+B4N/onWWRPQbHN2lI31pa5UFyrYUo3E7pEqU1H0Ivf/sT8Sg63+JFKw44qDSlhChJCVLm+0gZEWhV5O9sr3dhRrSEtTEGvOM9jKKlzIyaIP+rSnoeAE71CzGazzCJRW2ov+XvppZewfPlyfPnll7IH1ORxR6Bq1m+4AComfvMhTooQba1n+EX7xFMQedN/oagq5uSuwNaqcvSNG4oYqwWldRrCLApSQhU5fKZb05BfrclrinZe/IkSiaiTiM8Ks0GB3aWhtF6TnwFVNk32yBNlFptTQ/cYT09z0faL2xaXi05XjfUiixFID1ebPgfEZ4U4J+p7tQ4NWyrc8rMqJUy/r30g5VEU+7a3mEauW4MnUzajCqPLDYMGxKoKzrUA9TdfDfMTLzYV+zIzM+H683dohfnyvOn0qcipycX0jV+irKEMkzufuM/7lsW+hXM9ZxrqoRUVwpiUjP5x/fBzzi/YWpWDLpGdZXFY5Mu2l+nuGot9kd6hP9XYuFbrt1R4eg1mRXaCvzQP46nPnn3+ziERc0h6w3aR9IA5JH9jBklPmEfyBRb7qM04Z8/E5eUFTd1JI4py8Npz38B1zGSc0s2E33Oc+G6TE9PXeX4Ae2SeDa8dF4Qoq4LnFtkxP7/5VzGLAbCoGkaGlsLpTMK9c91YVer5Qa+R+GH33tEWBJkUPDzPjn9aXL/R1QPNmJilYmGBG4/PtyHUrLQ60n54sqGp2Hf3XzYMTjLg0n6e4iRRU7adTjkMXHJysvxhkagttZf85eV5huZMT09H7vbtmPD7d0g17LlQMKvnJExRPQdivLjsZ1Q7duLTNX3gKdF53DXSgqHJBlnAu/rXhj3ezisTrUgOVZBbpeGG33ffxqwC008Jlqfn57nw3GL7bttkR6l44iirPP3dRie+3ujt0rQLFvv0kUdxv+KdXuXU0LtFIapm8iT81CcIoQuXov+8bcgsd8C0aT0cX36KnHxPcS0zIwOOT9/3XCEyCsaJJ2BRzvfy7OCEQf963927d8ff3p59gvOv32E+8zz0jOkui31rytbKYp/4DiPsq9gXrgDGxqE+Y+J2G8JT6BzRGX7v2afTPQl/55CIOSS9YbtIesAckr8xg6QnzCP5gk530akjMgwcgorwKIRXVcDo/cH27EVv4brO4xEfEoZzepkwN88li23n9jLJHhmi0CcckW5A92gV4RYFG8vdWFjgwhndTeiWniy7PaeEORAdpKBnrEH20rC5NLy42CF/SLMaNVnEG5NqgFEFTAZF/sCbEKLgiDRD0zBUmRGq7PXXN05FRoSKxBAFqd7eHEJ+jYaSWs7MRLszmUxITU2FweD9BZeoDbWH/NlsNlnAEI/x888/x/bvv0H884/ucVuXyYzsIdlYUrwMM7fPhNlYhGExo9E9Kkz2yhNtd5Xd04YLol0XPcFFTz5xSWN5Rxz+EWb2nAu3AKd1M8oeVWFmoM7p2U70FG+UFaViak+T7LEn/7y9Axs/hwRxwIe4jqjniE8D0TtL1CvHpfPrlF7yKHqNnnXWWfhp6WL0LvIUxYTUE87DFemZ2NF/B6YF3Y///rQKCXVu5P49C3MLPUN09nbUw715o+d5TDkTTpMBS4uXITkkCcmhyf9632lpaVjjAvIUI1I0J5zffQHTaecgJTQFYeYwWeyb3PmEFsW+vQ/jGduiDr7rMJ4x1hj0iukph7b1l4v6mnBadyOsOo2+v3NIxByS3rBdJD1gDsnfmEHSE+aRfEGnu+jUESkhoVhx6ln4avUH6G2x4rLZJQir2Ykrt90F4+hLEWwciAfGWJBb7cbwlNbRHJ3afP6YPYxadc2g3Y/afv4Yz9BswvWD931Ud+84Ax4fv+8fhEwq5A+8RLtlW1E4LxD5TXvIn+hhIyQkJMgf35O3rEdj/zjLB1/jqaeewhXL58DocqH4+HH4cvOTcl4yk2rCiZ1H4/hOk2A17nlyMFHAm9pr3xOHxQarOL/Pvj8HsiJV+bcvfeMN8o/0ncdbbrlFLu2vvwjHp+9BHTgUanqmvCwtLA2DLcOxxbESCQBqN25AfrVnZICMRd4hOIOCYZp8KhYULUWDqwFDEgfv1/2mpKTI5/95nQM3BCnQCgvg+udvGEcdgR7R3bGgcCEKagtgMXp66tn33EkUZWVliG0RRWWXYTyPzhgPfxMHX4k/vdJDDomYQ9IT5pH0gDkkf2MGSU+YR/IFTmJBbcqanYbtsSbMd4SiIT1VXjbgr+WYsfxdrCxdJXvS7Vro21d356KiIrnck8ZC3+Eieng0zuFEdCBZJAr0/OXn5zcVQzSnUw7rLBiGjoQxMQm3PvY4Qp95Dblnn4RXetTC7rJjYuax+N/wu3Bq1ymwGi1+fgbUHvNouvRqWF96B9Z7H2l1eUpyCnZUe8bQTFE9vTgHhlhhXLfac70TpkALDcXv22fCarBieNKw/bo/MVykmDPwZ5sb7qAgeZnjm+lyOSp5pFz+uOXn/RrGU8wr2GjXYTz1YGuFG9urWg+frid6yiEFLuaQ9IR5JD1gDsnfmEHSE+aRfIHFPmpT/Tr1Q/kXpSieV4LIa26Vl1nsLhw5ezvW7Vx/wLenqm0XYTFUG3v2kR6ySNTe8ldQUCCXSUlJcC1dBFRVyvOb+47Hq0vtqLZrqOucgXey6xAaHIU7h92OCZnHItQc4udHTu05j+KgH0N2DyjBrXMkis553jqVRVFw7vnH4sFeXTwXGI1wnnQyfs75FSX1JRidMgpWo2fOxv0hhvKsFwW7vp7egO4lC+DethWV2ypg29KAlSWrEBu8Hc8cbUXvOHWvxb6YVsN4xjSdnp37N15f+RYqbZ7/Q/7y5AI7Hp5rg57pJYcU2JhD0hPmkfSAOSR/YwZJT5hHOty4F0xtKiYmBhbFgsrKStR27QHD4OHy8qFLC1G6cekB3ZYYniku7v/Zuw8oN6q7C+B3VLf3Xrxe927jXjGmGTDYhtA7pocQeoCE0CEkIYHARw8k9BI6mGpswDYYG/fevdW79vauOt95T2W17mW1etq9v3PWI82MRjPS1UjWX++91A7rpsmoaXCxaR8pkEWicMtfSUmJnGZlZcH1/beemWYzFuZMwOytTrh1N97Z8J7sMvHMXjMOq7hCagmHPIpiX3HA+/nFc+YjetN6eblo9AA8sPl5fFswBwnWBBybM/Gwti2KfcLq3B7+eY5P/ocnnngCxW8uwfSP1mLXj+/JLmOjzNrBu/GMjYNmbX09VLZUYkvNFkSZoxBKzU59v/uvgnDIIXV+zCGphHkkFTCHFGrMIKmEeaRgYLGPOvxX9r4vwoqLi2G++gYxEwa3jsFzVx/WL9V1XYfdbpfTjvDAsVZcP/zAYz5R19TRWSQKt/z5WvZlp6fDufAHedk4ahyqjNGyi2Rdb5CtqEamj8CQlMEh3lvq7HlMTExEhbm1a9iIJrucuvLz8frYKKREpuCCvufhj2PuRKwl9rC23a1bNzndUNcgMy44v5mNHWvX4i6XjjHrqzH2uY9QUu9GnW3vx0g8bp5in7bPLjxn9pqBRyc8JMezDKUWBxChcB0tHHJInR9zSCphHkkFzCGFGjNIKmEeKRhY7KMOF1jsM/bsA8MwT1dX3aqcaHaKzq8OjcPhkONAiWlH6JVoQHYsXzIU+iwShVv+fGP29aqvBhrq5WXTcSfKYke0WUNCRDxuHv57nNv37HYfb5U6VjjkUQ6EnpEFZ2AhKCYWsU+8hN8e+wfcPuIWjM4cdUQFNd9nnMLCQphmnuOZ2dKCk4xuDDW1ZvvOj3dizg7nPgvj4rFLN3sqaYbklL3WMRq8g/6F8D+lTU4dkQHHo5pwyCF1fswhqYR5JBUwhxRqzCCphHmkYGDlgjpcTk6OnG7fvt0TwtQ0OU21GZERnXHI2zGbzbJLODHtCBVNbvlHFOosEoVb/nzFvrRNaz0zrFYYx01CgwOINnt+5CG6JQx1ayXqGnkUevbpg8AykOn4k6HFxCI7JvuoCs6+Yt/mzZuxzhoNLcvzmefKyLbbzK5aDZtr79tv2bJFTtOMno/oWkpry77X172J74t+DHlrNYfbM4ZxlMJPcbjkkDo35pBUwjySCphDCjVmkFTCPFIwsNhHHW7QoEFyunTpUjnVEpPkVK+pPqwvsMSXcRaLpcNagdz9vQ2P/OTp6osolFkkCqf8tbS0oKqqCpEmI0zLFst5xjEToEVGoa7FhlrnP/G/TR+Eejepi+TR59Zbb0WEofVjsGnqGe02HmBUVJTsinPWVVfh3zsr5PzoPR6P3OoPYXPq+yz2xWlAvMtTitQys+V0XeV6LNu1HMX1xSF/bEWRMtIkin3qPsfhkkPq3JhDUgnzSCpgDinUmEFSCfNIwcBiH3W4ESNGyBPa6tWrYbPZ/MU+OBx4YeE/D3ncPqfTid27d8tpRxA/she/ZCcKdRaJwiV/usuFooXzITodnJaRCjQ1+bvwFCZ0c6JXQk9kHkarblKbynkMlJycDMus6+VlQ/9BMPTp1y7bFQWml156CRdccIFsWfZ+dSPq3Xt/eMitMqJ5P8W+vgG9dBr69IfT7cTHWz6BxWjB6T1PQ6jFWjS8OzMK1x2j7jjG4ZJD6tyYQ1IJ80gqYA4p1JhBUgnzSMHgGRCEqAPFx8ejd+/e2LRpE1auXInhvmIfgPrdRdjdXIF4a/whbcvt7rhuNY0asI/v64g6PItEquVPnMvFOT2wdXbG9s0YtPhHZNXW4E9RGjKtRqABQEQkjKMnyHWuHpoM4IoQ7jl1xjweKvO5F8PYfyAMPXq3awuwvn37yj/RenDr1q0ofPZJDFy1pM06uZU27HBp+yz2jRcfOLyMfftjXvEC+dnotPxTkGBNaLf97OzCJYfUuTGHpBLmkVTAHFKoMYOkEuaR2huLfRQSo0aNkl8M//rrrxgxZqR//s35F0OLycO6H39A9zdegrHfAFhuuXufX8KZTCakp6d32D4bDRocbNpH+9DRWSTqiPyJwl1zc7PskvBA6urqcN1118nBpX3SNODtOANM3nP3RLMGY62nO0MxVp8WEYFGRyMiTZEwaOxkoDMJp/OhZjTCOGxk8LavaejVqxf0Bx5F0wXTgRbP+JRCbvUOtDjaDtonXkMFBQW4MsLzutEyMlEfacA3q75FckQSjsudDBVUNutYVubCgBQDsmPVfP2GUw6p82IOSSXMI6mAOaRQYwZJJcwjBYOa/0OnTm/kSM+Xa6LY5+/GU3yxVVODp556CrPvvh36ts1wfvEJ9J0l+/0iWjR5Ppxx/o6G+OqNLftIhSwSdUT+/vKXv+DCE6Zg7e+uQs0//4Jdb7+GwnlzsGOPFnyiOCGKFElJSTj77LPl358H9vYX+gSrpsHk7U7PNH4Samw1eOSXJ3HR7L/hux2erj2pc+D5cG9abBwinnge83J64vlmT2uzKHsjMmzPtFlPvJZcLhcGWDz9eBr6DMDsbV/C5rJhRs/pMBvMUMGOWjeeXmrH2gp1W84xh6QC5pBUwjySCphDCjVmkFTCPFIwsNhHITF8+HAYDAasXbsWzRGR/vl15QX4ZPtnyIhojaZ7y8Z9bkN8uVxcXNymNUkwmThmH+1HR2eRqCPy9/nnn+NysxvdN6yG+YuPEf3yM0h+5E9IvP5irLv2Muh1nvFVi4qK/Of1u+66C3+46koMKS+W87btozV0y6CBeH7lS6hsrkKDbTxsLnXH/aLDx/Phvhl798P2EeOwIeA10bR9Ixyu1tft+vXrkaQBSbqniNac3w2Ly5agd2JvDEoZqEwcfWMNRircPwhzSCpgDkklzCOpgDmkUGMGSSXMIwUDi30UEtHR0RgwYID8BfvKbdsBgyeKLZU7EdE/CplRAcW+zRv329w5IyNDTjvCo5OteGZqRIfcF4WXjs7i0dCbm+H8ZSH0lpZQ7wopnL+qqirY7Xb0CRg7zH9/mobu2zai+eZroNtt/mJft27d5NTx/luAwy4vv2SORVlgk+gevfBCwf9Q3lSOEWmnQ9NHIpa1vk4lnM6HHS0rKwulAT13RlY24vNtX/iv//zzz+jnadQnFWVGy+mErHHtOqbg0Wrx1icjTers056YQ1IBc0gqYR5JBcwhhRozSCphHikYWOyj0HfluWwZtPgEeTmpGdDtbqQFfNm1v2KfaBkYEREhpx3BatJg3ccX30QdncUj9d///hefnn8mbH+6FS133gjdrW4XbBTa/G3YsAGiBpfjPeeZz7kIkf9+G/XX3YxfHJ7inV64A+41q/zFvpycHOg11XB+/qFnv4aNQOqk47DG2wpIWJNjQXFDMU7OOwm5MZPkvFgLz6udSbicD0MhNzcXu3XAV++LqbTix5L5WLV7tRyYfdGiRegbUEDbkOQ5R/eIz4dKmsKgZR9zSCpgDkklzCOpgDmkUGMGSSXMIwUDv4mhkBk1atRe4/a5RWuSAhtS7a1fDru2bNznWFRijCrR+kRMO8KmKheWlQX8JJ8oRFk8Up9++ilyaqvkZffaVXB+29qihMKDOBeWlpbKbjvr6urgqqpEy5v/QfWKZe2aP1HsyzUAvt9dGHr1gaF7D6SeeS7+6Wj9NYZ76yYUFhb6W/Y5PnwH8LYatVw8S47ft83qaZ0kLM3WMCl7Ik7pfjLqved5Fvs6l3A5H4ZC9+7dIcp3u+QowEB6XSKizdF4e8O7+GnFT/I1PTTa07W5lpuHQncVUiJTEGuJhUqavU9tpFndQj1zSCpgDkklzCOpgDmkUGMGSSXMIwWDwr/Jpc5u6NChssmy+FLZNWmk/OrLvqscelET4gJagqCmGnrFLmip6Xt96W2z2fZZCAyG19c4sKXajbdnRHXI/VH46OgsHgnRamTnzp3IaB0iE45/PwPTxOOgRcfIL+etVqvsYpfUNX/+fNx6663+63+JNmC8WYPRaMKSi+/C36NO2Os2w9KNuHeiVV5+Zqkd3+7Yuwhzei8Trhrq6U/zD/Na8F3dBEwYbQM2/FfOu3VLFs7o4cRJ+SbE5nVHRc0upDgaMG/uOizuezNcvVz4y6pU/Puj9+SviFz9BuOszf0BTUPMZW/jlE9/i9qoRnwTNxyv550huyRs8Bf7gvZwUQiEw/kwVFJTUxEVFYUSRwsyzRqSaitxcf9r8MKqf+ONDW/Jn+D1lS8gwNCnP24dcRPq7HVQTYJVQ+9Eg9KvXeaQVMAckkqYR1IBc0ihxgySSphHCgYW+yhkRDdfgwcPxvLly1Hl1pEsTnRVlUiqcgJxxraFii2bYNij2Gc2m5GZmdlh+2vUNLjY6yHtQ0dn8UhUVFTA5HAgIbr1taVXV8HxxiuwXXiFbIHVs2dPvPTSSyHdTzp4sU+Ii4tDnsuB8WbP2HhGlxOD3vwrJt00HI1xKXKeb4ivHgmtjfi7x2sYndmaAV+7nO5xresMSjHg+5Jl6FO+XF53awZk9+uO1CjP2vn5+di8xiaLfX2qt8CgLYfFZMLVxmUwNDd5NnLBFRhnMMHmqkJBwzt44NIeMGoRGJFwHsze7h2Py/N8BPFtlzqHcDgfhooocovWfTu3r5evvuTaUmQk9cOU7Ml4cfO/0X1YFKK22eS6xr79YdAMSLB6ujlXydQeJvmnMuaQVMAckkqYR1IBc0ihxgySSphHCga1/6dOXWLcPlHsK2pokMU+Y0Md0vbRuaxr83qYxnnGdwr8BYT4E1+eib9gM2iAmw0VaB86OotHQnT9mBn42rJaAZtNdrtY0L237D7OtGYFml99EREXXAbN4mkJRsHR1NSEzz77DCtXrkRsbCwuueQSOebdwYj1hSeffBJ9Pn4brh/n+pcZnA7cmLgdprHZ+739tF5mTOt14PuYmdeCp+b9A/1iTbIfT2NOLu6cHOdf3q1HHkrKFgCFQHJVARK2PIe+vXphXFGlZz9690XU+PG4S9NQ0WzGf9bqSIschuNyj0VeXKp/O6II2SNB4aZB1GnPh6GUl5eHnVtFsQ+IbamD3tQIbNDRXNyEsVlRgLfY93N0NXJrtyNfsfH6wgVzSCpgDkklzCOpgDmkUGMGSSXMIwUDx+wjJcbt27SrQk6NLhd6G1u/HHRZzHK6e9XPe93W4XDIsaLEtCMYDYCLxT7ah47O4pEW+zICzvjarOs9Tb9cLsS+9xpEyeWxKA3u11+G4y1P143761P8hx9+wPbdjShvbNvU1a3reG21HU8stmFrtRs/Fjrx9K921Nk8LxwxXVrmwiebHNhW45bdOIppWUPrdsQ2xTqfbnZgRbkLtTYdc7Y70eTwbKOozo3Vu13YWOnCjlo3Shvc2NXoRk2LZ7nLrWNRiRMry11yXXE7p1vH+koXKppC0zS3urra36Wh6E71448/xowZM/Ds3/+OmO+/xdivPkLtjVfC/vq/D9j1YX19PbZt2yZ//dU3KgKu+fPk/AWJA/zr6MVFR72/O3bskNNeFs/vgQx5rcUGsX8VWZUoyPAU6QxuHX1yLJhp1YB6T3eDjnPPx/ySBXDrbjne2G0jbsZlAy9BXlzeUe8bqS8czoehJFv2BZyKHCXFeP2111H/Qy0GN3leV7rBgC+NW/Fj8QKo6MutTnmuVxlzSCpgDkklzCOpgDmkUGMGSSXMIwUDW/ZRSA0aNAgWiwW/lO/GuTGeruWmmFuLfaYRY6H/PB+GbVtR2VyF5Mik1mUmE9LS0uS0I4gapCj2+VosEIUqi0eipKQEmaJ5qldhdnfknzYDztkfI6VgGy6wajB5cy269rRcfu0+t3PnH/6A8oU/YvKYc7A7ayBKh5+IM/uYcEJ3EwyahnkFLlS26FhY7ILd+4X2uGwjRmYa8elmJ97b4CsAtBYCZvQ24UrveHG3z7XJAl/g6y4xQsOUPM/54bMtTny1be8x52b2NmHWUItsgfviCgcqmvW9WuU+OtmKhAgd9XYgwghEBpxrgmXhwoW46aabcP4pUzF9/Fi89PobWL1lK1IMwN+TrUh0eY+lvgaOV1+CcdgIGAcfs89trV69Wk779+8PvP+WOBlB1zQ80fc8DP35PsSK4ywu2O++2J7/F1y//oKI+/4CQ27eAYt9YmjHFJfnOTLk95TTkoYSfLL1c5Qad6I+oHA6PNeK8dtK5GWtew8s7Kbhmy2fIC0qFf2S+smuCKnrCIfzYaiLfd8HdBOw/vvvsH37dvmYjXOniZ88yNfnLePvhMXo+cGTahYWO7GtRselg6Es5pBUwBySSphHUgFzSKHGDJJKmEcKBn4TQyElCn3Dhg3D6sWL4dY0GHQd/UyeL+Ar3TpS+w6Qxb74OhusTS7Ib6C9DAYDoqKiOmxfRcEhPUqD+IqOpT4K1NFZPBI7d+5ErrfmYtN1bCwrR98rroPzh++AhnrMimxbkNFra6HFx3su6zpef/11VG7ehNOWLsDYWCOw7kO4132EP+cPRbMzw3+7vx1vRXmjjr/8ZEdWrIZLB5lloc9X9EuMANKjDbL1ns3lGa9toKh8eZ3bzwSTQUNGtIafSlwoqXdjWi8TjN5C5eRcI/LiNNhdkLe3uXQ43MDAVM99iEL8LaMtKKrTUdmso6pZFPd05CcY0DvRgI2Vbtz9gw1XDTVjeu/gf5H+yy+/oJsBuPrnb2FaNAf3i5nx3jHzvIW+Js2AKN1TPLN9+RmKrdGy4FZQUACr1YqLzjsPRqsVq1atkutM7NUTzrmz5eWN/Y/D7oQsFLt09DdpcBd5in2LFi2SXX6KVoU1NTWIKN+JO4o2eG5zx+9hv/tBDB06tM2+btq0CWVlZbLw0MPYep4z9OyD0oadePzXJ+X1Cbnj8eKalWjSdURpGs7e1owob4HWcuHlGJs9Gllx2eiZ4CkSUtcSDufDUBf7SgNa9i37dh5cCXmYeP7VMM9+Ts7T8nrIYrndpcvWy2K84EaHjkYH0OzUkRVjkONvih9YNDt07Khzo9nh+XGE6IVATOOsGrJjPedW37mwzq7DagSsRg1WE5ASqSHK+6OHYtES2qnLc6sgtiF+/yG2EWvRZMvtwjrP67zGBkQo/j8I5pBUwBySSphHUgFzSKHGDJJKmEcKBsX/q05dwYQJE7B48WKsd7gx0FvoE3a7gficvNaQbtsKJLeO9+RyuWS3dmK8K6PR++V5EF17jAXX7rvBDXVxHZ3FI23ZN9pbMCtzA2++9RamHH88rKecAadoJbYH19JFMB0/1d867emnnsJLsQb0DmgNZ4COx3uWwNQr1z8vNcqA1Cjg5WkRMIsvnQNaE/ZMNMg/wVcA3NMZAQW4YzL2XkcU9XyFvf0ZnGrE4NZTRRsWbzfBvi+0g00Uz8aaW1tN7sk863p8UNeM3rNfw9hmN+q/mY3bvvgcjmY3DG7g4ggNzW88B8v5l2Ht2rXyNsdVlwFuzwF8NeoixFe7UeByo7/JKLvxFOMv/v73v5ddhvr8LlIDrJ7HvltFGU6+7lrce/8DmDp1qiwsPvfcc/juu+88yxPiMDKgO2VR7MuMzsCJ3aZgWNpQZMdk45cBP2PtykUYZQbivYU+3WKBcdLxSDSbkRiRGMRHlVQWDufDUMrNzUWTyYR6aIiFG8NsTriPvQtLjT1gqSyT67Rk58vfNhXU6rhtbste24g0AW/P8Pz66evtTryyau8uU8dnG3HXOM/Yq6+stGN+8d4nvcsHm3FWX8859/4FNuxq2rsb4XvGWzE6yyh/VPH7b1vajLmpMuaQVMAckkqYR1IBc0ihxgySSphHCgYW+yjkzj33XDkG2Ip1y9sU+5Y7dWSmZ8LTtgioWrMIO7tHYWjqEHldfJHd2NiI6OhofqFIIRUOWZRj9nl3rTYiUo79dvPNN+P/Lrlgn+s7f/lJFvtEq74XX3xRjvfnG09zgwvo592WXlIEjBy71+0jAl7LKhGtWY602FdcXIydpaUYkZ4CLTMHmsXT9eiBFBUVYbT3O3E9JhYRN94BvbkRaG6GYeAQGAcMxpSNG/H60ncwdnsLYgC8Ix470XrSx+2G7etPUeaORooGpK1eJmcbx0xAbP++6LdmJQqdbtFcB3rlbpTv2C4zmZKSgiuuuAJJsTEY9q9H/S0Jhecj3Fj80D24+6MP8N2yFf7C4MVWDVejEYjy7LQrMhL1idGI1zRM63Ga//YjR47E6qU/Y1RA8dc4aBg0s5rdDlLHCYfzYah7NJgy5Xi8v+hnXGFoQp/GUvyj+A3ETLzav44xv4ecRluAs/p4WjvHWCBb4VkMnlbNolWfkBalyaJdjEWTLQBFCzxxOsiMaS3GiR9X5MUbEG/V4HDrsDmBFheQ4235J4jumFucgNnbqlf0NCpKf93iPPcj1rxwgFnOE8XGoWlqP7fMIamAOSSVMI+kAuaQQo0ZJJUwjxQMLPZRyJnNZvz973/HO3+4DdjqGZNKeMOm41ijCQmp6dB3l2PXqoV4p1cFBqcMkmNAidtlZ2d32H4uK3Nhe40bZ/Q2+VsHEfky3JFZPJJfC5WXlyMz1nO9/+QpSJ+/RHYLedd/nfjLPm7TsmIxIgD8/PPPWLduHU5OjAX0JrnsVS0C9+vNsGoa3KLYF0bEF+WC6B7vUDmdTrz22mt46aWXcLHRiQERBphOPBXWu2SnnPslCqWi2JfvLXwae/WB6QRPa0mhorkCSbobffr0Qf9jL0dj2auIbm7e57YMlZWoczXhLKsGzekp2pkvugK/H2DBUs2Ad7TWL97rNqyT0169euG8886D88fvYAso9Ak9jJr8s29egZlRgD2/D5L6D0D3bz5rs15RqgU/bHwHvx3adgxHUex74tm2j6Fx6PADPh7UNah+PlTBjBkz8PtvvsGIGAOGmDSM27YYxrkW+H6DENPL0wWu6K7z8iEH/lHB+JyDf5Sfknfwdab1OnCh3mzUcP6A8CnmM4ekAuaQVMI8kgqYQwo1ZpBUwjxSMKjdBw91GfHx8bjmyaegJSXL66+n5qJBBxoaGmDo3VfOy93VgssHXhqyffy5xIVX1zjkL+qJwolo1RetuxHjbQkSld8TzzzzjHzd/bR2nRwf00eMwyaYK6vgqK6QrfqEGce0ju9my8vCTu8Yf6LbyHBi9RbeDvV1LMaxu/TSS/Hss8/C7HDgXKvn9s6530CvrtrnbcT8lrtvRsPl5+Jho90/Dqmhe+sYdruaduGJpf/CZ1tny3EGL7rkCqS8+BYst/4Rllvuln9rjjsFc+2tXXHGuZrQz+R53A09eslWgUJ2XjZqpvjaQAPN27fIaVpammdf58/zzIeGDc62BTqLpmGQScPwoq17FfqExIGjcEreyXvN79evHwojouH05kVgsY/o0IwaNQppmZl4sNGNFrOnmOdatMCz0GyGlp3Dh5KIiIiIiIiIDguLfaQMLTIKEU+/gohn/4sN6Z4vukRXYL5in6l8F/pYMmWrPsFut6OgoEBOD8eCBQvk9OsKAACGDElEQVRw+umnY9kyT1d4h8rofbWIbrKIAh1pFjvKli1bkB1wtjdk56J79+7417/+hYiICFlY95kTkO+Nn3+OtZvWIrFPEgbFe5oF2uOiUTPFiLIUz3hRzYWewlK4sHgbwB1Kse+LL77AJZdcIgt+WVlZ+OspJyDKN/ae2wXH/LnYvXs3VqxYgdmzZ8vC6P333osVl54D15KfYSgpbNPNZUV6HLbUbJWXE6wJ6B6fj75Jvf3LDZlZMJ82A+ZpM+Wf6/ipeN87Hp7QPcuMDNHHnjhfZuXIlsZ/X2TD29vnojInyr9ebflKORXdeOp2G1yLFnq2P3ocWi64HIbe/eC6fBbW3XkNNh87BJXdUuEOGFsxUOqAMeiRkL/PgaQnnzwVW9ze21mtMPQdcPAHlTo91c+HKhCvn9tvvx39Jx0L4y13t1mm5eRBM7LjjaPFHJIKmENSCfNIKmAOKdSYQVIJ80jBwG8TSCmG9AwgPUOO9dNa7OvnX27fvA5N/fsgMSIRJpMJycnJcno4J9LHHnsMZWVlWLRoEYYPP/Ru53w9dx5G73/URRxJFjvS5s2bkRNQzDFkeYrpgwYNwgN/fwDfvfs4Zq3xtFL7tMmN6d7x4lZ//AGs+RHIPDMbOz/9BZli3LpEE8yWWGy19sdYLIVx1268sOx5XH3MNf5CvMqiTMAbZ0Qi4hCeqjfeeEN2gXrWWWfhpptugva7K+R4VT7bX3sFFz34mP/6ICNwRYQBfQIKfIHetS2BZYcTvxt2PSxGC64adIVs1bc/GRkZKAkovqYU2ZEsDkAUBJJTsb5yN34s/QLp0WuQaEnHdlcZ8o0a0ndXIKJvJFJTU+FatgRo9nS/GnfyNAwcNxLzd/bBt4Vz4HQ7gWPjYZycBItTR05ZIwwNDujfr8eluz2FGuMBCnh/+MMf0Nw7D3jhKZhOmsbx+igszoeqmDx5svwTbFs3wfnB2/KyofvexXU6fMwhqYA5JJUwj6QC5pBCjRkklTCPFAz8JoaU1KbYN7K1IPfNnGexVR+Jm4ffKH8ZHxMTc1jbff/992WhT3SadczSn+D4KhfmU844pNv6aiVu2W0dx+yjgGwcQRY7utjXLaAOJ1qFuXU3Fpb8hK8dc+CcPgDre2qIi+uNzU+/hEqDEcluF+J2lyMiIQ5nDZyJlJf/Km+b0m8kxhuPwxbDBkAU+9w60hrc/kLfyt2rYDVa0C+ptUivElFci7MefD0x3l5xcbG8fMMNNyBi4zq0FBXI66Lb02SDhqzqCvQ1G9E/rxtm2uuRX1ftv/0uaySe1mx4qKW1Wtdj6PEYnjehzb4ciCj21ehAow5Ea0BPIxCpe7anJyfj023PAlo9eiUMwDBLDtY4V8hiX/7uFkRPiUdyajJc3i48YbbAOGY8iuu348sdXyE1MgWn95iG/sn9YDa0HYfLdbkNzpefgRaXILsLPdAH09hzLoIuzqEx3gEhqctT/XyoIstVN8C9bTPcy3+F6biTQr07nQJzSCpgDkklzCOpgDmkUGMGSSXMIwUDi32kJN8XhaLYJ1qwICERqKlG/m4nfmwogcvtgmhiI5aLwqDR6O2b7wDE+H8vv/yyvHx1hIYhBZthf/xhmCZMhhYbd+gt+9iNZ4fT3W5oBnVbjYnWX4eTxVAU+8Z7d0tLScVudx3eWf4ettftQFJEEs4bfDb6HN9Htnw1PfcfrLc5MdGsoZ8JuHHC8ZhWmwybw9PvZUrfEUiJz8SPkZX+7Z9hHeovkH229XM0OZtx7ZCrkRfXDSpau9sF0Rtmn6T9P1e1tbVoamqSz2lcXBxsn74v5+tmC/7SpOMxzQ6TpuHZWCNMFYWtNzRboJ16Oj7v7cTabQuBj1ofpxmDzjtogS9QVFSUvO9SVwN6mzQMtRrkeU8wpqYjP3YQSmqjcHG/vjA07sJzLkD8dCHCqSO3xI7YhGjYFs6DOMrGIQMQHRmFXEMuZg28HP2S+sJsbFvk8zFarTD+9tZD3s9DOX9S16H6+VBFmtmMiL8+DTQ28PXUTphDUgFzSCphHkkFzCGFGjNIKmEeKRjU/facujRfyz5RoBNfjhu9XXmm7ayRXc+VN5XD7XbLL+TF9FC89tprcn2z2YyZ1tYv3PX6+kO6fW6cASMzjDDxVdOhHJ/8D02nH4eWx+6DXl8HFR1uFjuSKFiJFmo53kEnnRnp+Puv/8T2ugJMyp6AO0behj6JfeQyi8WCPn36YKPTU1HKMGg48dtPYLvnNv/2DHn5SE7LQmFkmn+e493X4d5dLl+r1wy5GveP+7OyhT7hsUV2/HeV44DrlJaWyml2djb0XeVw/fSjvG4+YSp+8+f78d8Wz2NkEj88EKxWaGeegx1PPornxluxLbIaGa503BZhQn1uFrQ77z2sQt++uvLMCuhD1JCSBrNhCDTkI8Hilh8Sm/NbW+Hl/9qA/Oo6GBsa5XX72DFyGm+Nw+DUQfst9BF15vOhysQPWlg4bz/MIamAOSSVMI+kAuaQQo0ZJJUwjxQMbNlHynfjKRh694Vryc+IKquE2eFCcUMJsmKykJube0jbq6iowFtvvSUvX3jhhbB88oZ/md7suY+DOaG7Sf5Rx7zh/fWvf0Wc2YTLfvwSmt0G15yv0LxiKSy33wPTyLFKPQ2igHyoWexoW7ZskdNcUaXW3ahIipQF80sGXIzhacP2Wr9Xr174aeM6XKHrMOxZnIqNk6/FqGorHGndsMwQg+HuBrhXLUfzNRfDetOdSDvuRKjOYgRs3hrd/vi68MzJyYFz9kcilPK6acbZOLF3P0RYLGj89D1Ebd8M09RpsJ5zETbqu/HvVf+W652cdyJOGH88Gi9pRGJi4hHvqyj2lRZu3qvrYNFCs3KbjhizhphIC2Jyc9Fj/ERUf7AViQYNg8X8VcsgD9NoRPYJvznifSDqLOdD6jqYQ1IBc0gqYR5JBcwhhRozSCphHikYWLmg8Cj25eXLqabrSKhpQUl9KZBx6Nt76aWX0NLSgilTpmD0qFFAQLEPTU3tvPd0tIqKivDBBx/gHKsGLbK1KaVesRu2u25C02lnIea6G7G6wYodNW6c3suEr7Y50egARmQYkZ+gyUJVi1NHhEnzdzFZYwOanTqSIzRYvfMDVTS5sbtZR98kg7/QJW6n7XFZjNtY0+IZvzHarCHC1Dr+mtOto6ReR1aMBqcbcnuiICPGiTMZNLkNh1sUnLSgFElFCy/xgSGw2BejAbHesd5KY0WXtEYMTh64z22cccYZ+PHHHzHv/HMx7ZhhsgtVuJyy2GXo0x9aVDSiGlyY1D8Tf/mpL2aVLsGponvJ+jrYHv4TXIsWoPKKi7Cobi0mZU9EalQKVGMxAPaDFPtKSkrkNCc9HY4vPpGXDQMG+1sZTzz2WMzt7sJn277ADcOmoVdCMnq543FWr5kYkDwAyZFJnvuyiBFCj1xgy749i33Hu0yoSW9t7jdm7Fisee9VTDIAx5gNcHtbIxqGjYAWF39U+0FERERERERERETqYrGPwqLYp6Vn+pel1btR0lACh8OBsrIy+WV4YHFjT4WFhfjoo4/kwKc33HADGgt2tFmuNx9asW/JThcWFDlx4UAz0qPZl2cwiS7gRCnsbG93q4UuHeXjJmPU6l+B5iYYv/gQX5fqeG7s7zEhx4jpGrCzUcenm514Y60DCVYNA1IMWL3bjceOs8ouWOcWuPCvX+3++4i1aEiO1DAq04hLBplR2azjuq9aYHcDGdGaLMbV2XTYXTremRklb/NziQv/XGyHS4f88+mVANzSt1Jm8R+/uvFTiQtRJsiinvgTrhpqxvTeZtmi7OJPm3H/JCsGpRrbtdB32223Yfny5bIVa1ZWFlxbNsG8aD66BcQ1untfjMvK2W83jscccwy+/fbbA3Y5OTTNiH+eHIM3d0/AY08sRk2ffrigqlQW/JxzvkTUisXYdGYe0qJS1Sz2GT2F4EMp9o1oaZDjhQrmGWe3WWdo6lDZythq9BT0TAYTJuVMbNd9zczMxBeBYROiY6BFRuGE7p6rvnNhv3798K1uxCS4kQQdemWFZ78mTWnXfSI6kEN9byYKJuaQVMAckkqYR1IBc0ihxgySSphHCgZWLEhJMTExbYt9Ga3Fvu7NVvkFu6gGxcfHyyLegXzxxReyEHL66aeje/fuiKna3XaFQ2zZV1TnxrxCF+psh388dHjEWI3xmmfMOOELu45ntxQg8sU30ZTpqXD02vEreiUaZKFOFKYuHWTG/ROtOKuPCQkRmr/g1uDwFEp6JBhwSg+TXD4514hucRqaHTqWlrngcuuy8DejjxnTe5lkIU+00MuM0TAkzSiXC6Jl3uA0o2w9eGoPE87oZcLxeUYMTzf6szi5mxHTe5vQLd6AwalGnNPPjGk9TXJfhY1VbllQLKw7cLHpcInWq/Pnz5eP3VtvvgnHh++g5beX4/hlP+HyiNbXyJAhU/Gb3mcecFuHOrbcqaeeCqPRiBdXr0fL356B0du9qrmiEtO+2YpN1aL7SfVYTQfvxtM3Zl/vzWs9MxISYZx0fJt1ROu9SwdcjNzY4HVZOGnSJGx1a6j2ZtDXqi+QyJ3IX0REBJr67dFiU4x5On5y0PaPaE++PB7svZkomJhDUgFzSCphHkkFzCGFGjNIKmEeKRjYso+UbtlXVVXl6ToxKQUwmQCnExkNGmwuG2odtUiJSzmkLiGF4cOHy2nU7vI2y/WmQxuzz1t3glNv3yIN7a2+vl52Pem/brFi27ZtKHY4Udd3FPJ37kBG8248PsXi/0JZtNYanmGUf5cDslVepAkwe7vLzE8w4LfDD9yloigcClftPZSdNDrLKP/2zSr/HZft+dufKG/3oaLQ2F4qKyvx8ssvyyKdSdfR84sPYTe29v04xux9MA0GGHK6HfX9rSh3yZauM/skYMKECbLbzy9/WYyL/vIkbA/cBdeC75FRaZPFPpfbBaOh/VowtoekCFHoPfiYfX2MQHRxgbxuPm0mNG+XnL+WLZXnoNGZo2A2BLflkviBwnFTpmDJonk42eJ5HrXEJJQ2uHHvjzac1deM03qaEBcXJ5f1O+54FG1ehVxv7g0Dh8CQlBzUfSQKJH4A4MsjUagwh6QC5pBUwjySCphDCjVmkFTCPFIw8GfXpKTc3FxYrVY53tjrr78OzWCAluYZpC+p1tO0rqiuWLZiEq32DmTnzp1yKro1FKxlnhY7h9uyzzfE2kHujtqp2BcbUOzrPnCwnM6bNw+5PTw5MNhaoDU27HcbcVbNX+gLNpHBQ8miIAqQQrOz/e5/48aN8r4nDx6Ef2fE4eSAQl+gupQ4PLfhVbi94/cd8f1VufHZFifq7cD06dPlvE8//VRODT16y2lUQwuctmZsr2vbbe7BiDEHRReAq1atQl1dHYLhrnFWPH1yxH6XO51OuQ9nirEIBYMRptM9rSFF8XL29i/x1Y5v0FGuvPJKLA4oTuq7ymW3s7uadDluZGD+zj33XLiHjfSvyy48qaMdzvmQiDmkzoznQ1IJ80gqYA4p1JhBUgnzSMHAYh8pSbQKePDBB+Xlp556CnPnzvWP2xddXS+nRXVFskWT+GL+ULrjE8U+3eGAcdWyNsv15sNr2bfn8FkU/JZ9A0aN8hf7ojPT/fP13buUePhFBg8li0KEt9h3sDHjDocoiouH68aqEnRv8eR5o8EM17hj26xXm5mEKFMkDNrRnfrt3i4wrUZg4sSJSExMlC0v169fDy01zb9eXL0NG6o2HnR7ovWueL2fccYZGDdunOxyd9asWXjw2qvhnPs1dNdB+txsZ+I4zG43TvS2pDOOnwRDmid3G6o3osZWg0nZE4Peqs+nb9++uPSJp/zXjYOHoapZ97dSDMyfyWRC36uuk604ERkF47Ftux4lUul8SMQcUmfG8yGphHkkFTCHFGrMIKmEeaRgYLGPlHXCCSfgxhtvlJfvuece1Fo9LXFMuytxeo/TcEzGMOTl5cHi7VpvX+x2OyoqKmTT6NTUVLgWzANqqo+oG0+jt9oXMHQWBbXY11rtGzR2nGzpuWbNGuxwtT7f7j26ZA0VkcGDZdEn0tulZlM7fg8uin3dDEBKQ628vtAUiRuqWvBLs73Nej2GniDHmDtadm/F22wQveua5Nh9vtZ9gcW+9CYD1ldtOKSudsVtRStc8cumlJQU5BmAP+3aDtuj98L53VdoTyvLXfh4k8N/HHuaM2cOhpoA37NpOtFzfMKmKs84hENSB6Ej9R87DuarfwfDiNEwX3pVa7EvUtsrf8aBQxDxr5cQ+fTLMKS2FseJVDsfEjGH1JnxfEgqYR5JBcwhhRozSCphHikYWOwjpV166aWYMWOGLNp9+stiz8yaahyfNh65sbkHvb2vC8/09HRZ8HN8/D95vVYH6n1j7x1iN5758RrO6mNCalTHdA3ZFbh3bJOFHHfhDtm6a3/deEYkp8gWX8Ij68zKtew7HKIbzyuHmDG529GPYydavOkN9bLY1y+gy1L39LMhen18d5H3NeNlyO951K36BIe3dz4xTqIgWuQJX3/9NVwJSf71+roSUdpQirLG8kN6nQ4dOhQ//fQTvvzkYzwcb4HFW/B1L/8V7WlBsQuvrHKgZR8FV1FsFMW+Ud6xFUUXnsaAbjE3Vm9CnCUO6VEdX0SznHcJIv/6NAzpmahs8bxekiP3fT4y9h8EQ/ceHbyHREREREREREREFAreDuWI1KRpGu6++25ZDNi+fAkQ7SlU6OU70ZyRgYpdu5GZkQmz2XzQLjxdWzbBvXaVvP4tzBjrtiPWKFr2HVqxr2+yUf7R0RHdu/3nP/9BXEszzl3wFcy+rt7iE2SLJOPocWioq0VqQA1Di4nF8ccfj/kr5qM45juIWpNIgnt3mRJPh8PhwK5du5CWlrbfLPoYNA0z+hx994+iONpyy7Vwb1qP4U0upPvO5hYrJl18KWLeex+bGhqAiNbM7kqLgWfkSrRbN55C79690a9fP2zYsAEL1m/EWO96/d3J+ARN+L7oB5zf79yDFvvEWJ3il02O2R+jm97adade27Y17tGyeh8rm2zZ17ZYJlqPlpeXY2yiRVRTYeg/EFpMjFxWa6tDeVM5RqaPkOemUKr2tuxLsGqHlT+iYGMeSQXMIamAOSSVMI+kAuaQQo0ZJJUwj9QlW/aJ/mtHjhyJ+++/3z9PjNt1zDHHyHHdzj77bFRXt/0ieMeOHbJbudjYWIwePRqrV69us7ylpQXXX389kpOT0aNHD7z33nsddjx0+EQ3gQ899BDKAvrP3LRhPu75+V6UucthEGNTHaSIIIp9zk/e98w0GDAvIhZNvs01H1qxj9qHKPS98847yP/2s9ZCn1BbA9dPP8L+5F/Rs6Swdcw+kwnNRjfqujUg8awUIGIn6qKtclHx9hUHvK+6ujoUFBQE/akTGYyOjj5gFttbwfKlcK9bLU6SuN6i4yyr574NvfogOi4OM2fOREuMAWXegpzDZEB8Xr92ue+BKQacnG+COaD27Wvd9/E33wBR0fJyQr0D+XHd8Wv5UtTaPF2MHuh1mpnpGZfT+f2cNsvdZZ7l7cVibFu0DLR06VIka/AXG40jx/iXba72dOHZN7EPQu3c/mb8abwVZqMWkvwR7Q/zSCpgDkkFzCGphHkkFTCHFGrMIKmEeaRgUP6bwb///e/yy1eftWvXYtq0aejTpw/ef/99Wbi76KKL/MttNhumTp0qW3S9++67sjWQuF5b2/pF8zXXXCOLDU888QTuvfdeXHHFFVi0aFGHHxsdOlGYtQV0D5hUY8PAlIFIiU+R3XPuT0lJiZzmpSTDOdcz7pdx7EQ0RsWg8TDH7BPjfN36XYuc0pERXSTOnTsXE83AeO/Ydd/bdcztMxjGKSfLLhOF1Poaf7FPj47BXxb/Db9ULEaslozSojNQH+kpCjWXFcLp3v/gd3fddRcuPO9cFM35GrqtJWhPm8hgQkLCAbMY6M55LfLvSG3btg0P/u6GfS4z9O0vp4NPGSKLo1szPONm2Xt0R3RELNrDCd1N+N0IC0zecSyFU045RbYqE+dSd1KynKfvLsfx3aagV0JPRJmiDlrsy8jIgF5dCffK1nO+3M7OUuhub9+h7cDq3W/bPl7KxcXFGObrwlM8tyM8xT6H24EfSxbIloC9E3sj1PLiDRiTZTyi/BEFE/NIKmAOSQXMIamEeSQVMIcUaswgqYR5pC5X7Fu/fj0eeOAB2YLP55FHHkHPnj3x9ttv4+STT8abb76J+fPnY8mSJXL5q6++iu3bt2P27Nk47bTT8Nhjj6FXr1548cUX5fKNGzfijTfewAsvvCDHg7v88stx2223yZZjpLaknr3Q4h3XLb6yHlcMuBQZlnRZQDpYEeGYyjJRCZaXzTPOQWRkJLy94B3ymH2NDh1bqt2os7e2MKTDI7pIrN+1C7dEe7oadEdF44lmNx5fuxna7fdAy/GMwxhva/aP2Se68JySOxm/6X0mjks8H3ZbGsp0T1EjprZZjqG2v1Z9v/76K64yuZH02L2w/+tvQXu6RAabmpoOmMVAYqy4Gu+Ya0filVdeQaq+7/vSe/fF+5s+xOdlXyA9NR3vmuPRNGMmUv7wCIIpPj4exx57rOxetFx2jwmUrV2Du6+4C2fnngWz0ewvmu2prKzM37LPOf978YDK63Ps3mN02KFXVbZ7N552737uWezL89XMNA2Gnp7C3mdbP0dRfRFO7DYF8dbW96RQEI9xVbMOt/d8eLj5Iwom5pFUwBySCphDUgnzSCpgDinUmEFSCfNIXarYJwI/a9YsnHPOObLLTp/vvvsO559/vr+7MvEF85QpUzBnzhz/8smTJyMnJ8d/G9GdnW+5aFUkCj1nnnlmm+Wia1CXiy22VNazd28Ue7/L1osLZRevYpwqMT1Qyz5RM8pds1xe13LzYBg+SmagyftFud58aC37jN7WQE5+n37ExOvvgggNKXLUPSDimhuR1X8AGhsb8cMPP8CQ4Wmxl+y0I8Y7JpohNk62DpuYPQEDho2W83Y0NstpXJ0Ny8qW7fO+ZItgtxtTLd7nbd430IPUZeuhZDFQpAloPrRV91JYWIhvvvkGWabW03fDoGH+y6+5l2Fh6U+yNd3TZ/0LL//7c6TeeDcM3Xugvby43I7HfvYUzwNNnz5dTjdUeApzppoqOMt2ouLJx+Eu2IZvC+bg6eXPosnhef72LPaJln2+Ljwd8QmYE1BY18s8428eqZUrV8ounuX9RGs4Jt2IiIAWfIHFvm7eh1ZLz4RmjcD22h2YX7IQPeN74JT8qQi1Rgdw+exmPLPUcUT5Iwom5pFUwBySCphDUgnzSCpgDinUmEFSCfNIXarY9+STT8ovtZ966qm9XgRDhgxps64Yd2/z5s3+4s7Blvfr1092Nxe4vLm52d/l476I+xVdiAb+bdmyxT+gpo/dbve3rhDFw8Bl4rKvoCjWEeseaJloveFb5vsSd89lYr5vmZh3sGW+fRPzffu257I991uVYxItOou8LXHcRYXYWrcN75S9h6LGon0eU01NjWzJOcZigKVyt5xvnn42NE2DxWLxj9mnNzYe0jGJWp/YrtPleSz4PB1+9kQXj+O9BRbRYsp46nTZ/aPw2WefAelZ8nK67va37HNGRvizN7FnPCYUPI/dNZ7Cj9XhxqiY/vvMnriv/kYg3tfVpHhely4OyutJZEqMCynOK4fyeoqQxT5dLhNdct5xxx3yXLdgwQJZ+NQb6mH/+D20fD+nzWtGrC9a9Yltj8zztIJEbBwSH/o7jGeeh8VnjsP6iDqckHM8rhtyjWyBFoxzxMZKFzZUtP44wrds7Nixssvd7XX1cn6iBtwWpSH3p3lovvlamErL4HA6oHuLvWL74q+8vFxeT4Ib7tWewrx91HiUBLS8cxQXHvHzVFlZKbtvvuWWW+T9jc024f6JFmRFOts8T+KxF+f6bkbN/+MAITc6B2f1PBOXDLgIRs0Y8nN5eZ0d0IGkSE3OF/nr1q2bHN80HM7lR5M9HpP6z5M4D2ZnZ/v3i9lT83nq7K8nkUNxXhTLO8sxdcbnqbMfk+iaSeRQ/Ei1sxxTZ3yeusoxifOi6EXD96PpznBMnfF56uzHJHIofpjvu+/OcEyd8XnqzMcktiXem0UWO8sxdcbnqascU+A5sbMcU2d8nlQ4prAv9oki2p///GfZ9WZiYqJ/vijICWJsokAxMTHYvXu3f50jWS741tmXZ599FoMGDWrzJ1oEClVVVW26jRTdqQnii2NfixVBXBbzBLGOr4tJQXzBXF/v+YJcjEMoxhz0BaGiokJ2SSiIJ1os84VNfIldXV0tL4tAiGW+YIj5Yrkg1hfLfKEV2xPbFcT9iGXifgWxH2J/VDsm0R1rgbdZnV6+EyaXjsLaIqyr2LDPY/ryyy/lti9M9nS5p1sjYDrpNP/jYc/yjGWmNzUd0jGJmpHT4UBjU3OXfp7EbR999FHZUkrsu3PxT2i+4Qr88tQ/ZXF1f8cktl1SWODvItEwbKTsJlG8lsR/On9Z/AvW6TVyWbQGZHsLLhvsJXDrbv8xHTthHHZ5C65Cb2fsPo/pp59+wmjvuIA+rp/nB+V5Eo+fWCaKLofyPJl1pxwvrr6hEX/5y19ky+LXXnsNd97wW7x6yhRUnnUyHP/3D7ge/hNs99wG3W6X2xCP7xdffCG30zM22vM4ZmSisqERJWfNwKcDTRiYOBCDTAOgu/WgZa/J5gCctr2yJ77UOuGEE7DT0VoIHGf2vs3U12HUMx/gnMjjEW327Ls4JtHtsrhv0Uq74dsvxZ159nXMBJQEbKd81cojfp7E4yYui5Z9O4sK93lM4nlavXo1NF1Hrjd7joxMuHSXPLbu6IZ4a3y7v56O5Jg2Fe+GrruRFKH5nyffFzcqnCM643mPx3Toz5M4D4rHPfAzFZ8nZq+jX08ih+K8KM4DPEfwvBeqc7n4f6fIocgg35/4nhvqz0bivCjW8y3jZyN+3gvF53KRQ3H7wGX8XM7/a3RE9nznPXFdvDf7zon8PyH/7x7K7yNEDsX9imX8PoLfG9UdIHuHQ9MDf1KjALE7xx13nGzFJVqwCOK6+PvjH/8Iq9WKhQsXYvz48f7biMLgzz//LLvqFPNPP/10ua6P6Npz6tSpskIq5otxvEQ3eD7ihS1aRIix/yZOnLjP/RIvxD2LgaIoKQp+y5cvx7Bhnm70xItUbEu8eYjt+n7lLogPU2K++EJczBf7I1qY7W+ZuJ144YtlYiq2u+cyXzVYLBOPnVj3QMt8+yaWiXm+lkiBy/bcb1WOyWaz4aEpk/DHaM+X2tqz/8WfCl9Gbnwubh11017HJMZ7/PLzz/F1SgTMTgcMJ0xF5N0Pytved999yFw/B5dUee7L/Pn3sEREHvCYVpa7cM+PLbj+GDNO62Xpss/Tc889h9dff10WX//zn/9Av+5i6CXF2OzS8WBiDj788MN9HpM4Yf1+5nS8Guep9lnu+DNMJ0+DzW7DLf+4FVuMW3GKIRrXfd22hW3FlPHI+9MT8pg2VDgxf8kqLHjkd3jBUy+C5YG/oWJoXyRbkvzHJFrLnXvuuXgxzoS+hoBTXEIizG98DIPJ1K7Pkzj5iuNLT0+X8w72PD23Usd3BS7c37cQV19+EVIjrLhnSD/027IOkfs4JVt+dzswbaYsDH766afyHHfHjrVAcSGME4+D8U8Py/VKm0th0sxItaYENXvXftkEUcP7v6lRe2VP/Gfxwd/9Fg+WbYXB2xVrIK3/IFgf/z8sr1mHnKgclGwqxrXXXosBAwbg+QQL9HWroWVkwvTKe5g0aRL+F60j2aBhfXZ3jPjvO0d0TOIxE+O3PhKlYUJsJGrufwYfog8m5+gYnG7xP0/iPeDxP9yOd70Z3XjR6fjpmBRc3v8SWA1WZc7l32y14ZnlbtwzwYrhaZ51RUtm0arSt57K5/JwPO/xmA79eRLPg/jMJH6sFRW19zmCzxOz1xGvJ/n5oaJC/pAkIiKC2eN5LyTncrGO+FGoOB+K9xu+P/E9N5SfjcRtxBePqamp8rzIz0b8vBeKz+Vi3p6fE/m5nP/X6Mj/E4rvbmpra5GSkiKX8/+E/L97KL+PCDwniuGm+H0EvzfS95G99evXy4Yya9aswcCBA3EwJijmmWeekV/Uiy9n9yReFOI/7WJMpUDiV0jR0Z5v/tPS0o5oueBbZ1/E7cTfvgR2Cep74QriBS3+9rWeeFEHrnuky8ST7uPrnvJol+2536ock/hPiT01HWjyFF2NZTvRN7EPNtRtlONpTcqegECiG8e+RshCn9zuyLH+ZeK5bmhobTVkFr9q8xb79rdvuXEG3DzKin7Jhi79PIkubH3F7m+efhInlnheT/kGwFVciN0/L0DquIl77bfoJreHt8WU3F5+T2yp2Yr/bfoAjsEuaNsMKNza2pTaJzOtl/+Yvilw4quannDr4jnwfJm3dNUX+J9zNh4cfx8ssPi7BBWv5j7eQl+l21MwQk01TFWVMGRlt/vzJP6zIuYfyvP0m75unJxvwst/+w/GmDU8EqPBstnzuAoNGdn429ZC3BFllN2ZurduQlVFBWbPni33edYVVwDXX+LZl/RMef/ifvPMnm4nAwUjew63hljvWIi+Y/IRH1L++p9XUTjrAmSWtZ5r3ROOg2Hh99DXr8HCi6bj/Qu6Y2TfY5G6y/Mhu29yIvTVizz3PflEuc3hw4ejbP1SiJdccnUptm5bgl49Rx/2fhcVFSFOAyZaDIDNhqinH8Kc6f9F32QLhnpbxInHtaKwwN/NrFCTHocGewOiLFEwaAZlzuV1TiOguZEYIQpSnmyJH8KIbQauq+q5/GiW8ZjUf57Ef1jEf1QC12X21HueOvvrSfxnWpwXxTJfy+dwP6bO+Dx19mPy5VDcLvC24XxM+1vGY1L/eRK3E/8H9m2L2VPzeersryfx5eWenxPD/ZgOd795TKF/nsR7s+/HnXyeju654Ovp6M4RgedE8djyHMHs7e+1FtbdeL7//vuyGCe62vR9cf7DDz/IVlri8tChQ+W4VoGWLl0qx8sSDmW5GL8vsNmtWC741iF1pQwZ6r+slRbjgkHnIy0qFR9u/ggLShb6lxUUFMhfdE+K93TRKhiHjfBftsXb0RjQ7a3oyvNgxPhYJ3Q3ITtWuZdNhxG/VFm3bp3/euPsj/2XTZqGt+KMiPrzbXDOa20561O+cQMG+D4jGAzYEufAi6v/jTp7HWb2nw79ayeW/9TarN0vNtZ/scYGxEZaUO10wOZtAJfVZJSFXovB4v9ljfixQE9RD/HebqGjtbWcXtPa7W57ER9wkpKS2nzQOZCcOAPsJWvww9zvcGuUERaX59eUhn4DYX30CaS9/gHWxCWj0DdGZUkRXn31Vfn4i1bKuXExgN3TjaYrNQVPr3hWFk47it0FWFo/w+xFvCF1v+a3/usFLh2vxKZivcHzgWZETR3+8twqTHroZazb4jn/jtNbC73GySfA5rLh6tuuQUuf/nJeWpMdEXffCafN043u4RDng6yAl621tEBOd1fX4pNPPsEf/vAHTJ1yHAb85xncFNW64pRxF+OOUbe2KfSpoKrZk4vEiCPLH1EwMY+kAuaQVMAckkqYR1IBc0ihxgySSphHCga1vsEE8O9//1t2ixn4N2LECNnNm7h89tln48033/S3zhOttxYvXowTTzxRXhfLxbhLvnGtRPNs8SW5b7noplN0dfb444/7q+hPP/20bA4puuAjtQ0YMxY13rHIbNu2wOgw4Poh1yI1MgUfbP4IC0t+kst8fSGPivB8+a3ldINBtAr0KonfCX2Qp9sIYfba91Fv94wlQfsnxlcT3R6IwvhZ06fjOOO+ewG2PfJn6N5utOSgom/9F5P/+wzOsXq7YM3Oxf92zIbFYMbvhv0Wp/eahlNPPBWi5FrnL9F5aN4xNYWaFh1JUUb5Y4Aybw7S6l2Y2WsGzEZPM2fRna943Y/PyvDfbqkzoNhX6xkXsD35uoM41IFTbU43HvvXCxhlMSLTexY2X3EdIp5+GabR4+UPG8RjXOQ9RldRgSxKifmzZs2Cu6y1KFoZZ0ZpQymK69t2fxpMlw424/ReBy4sGccdC617D3n5mWY3Xn/nHdxR3YKdhtbbpVU2I3f1D/LyoBpPv9RaVg4MvfthYcnPeL34TWg3XoZv7J7HNbGqCduWfXvY+1tYWIgs0bIzcF5BAf76+BN46KGHMHfuXJzmaEJeQMtTKSEJRu0AVc0QuWqoGf+ZFil/gHAk+SMKJuaRVMAckgqYQ1IJ80gqYA4p1JhBUgnzSF2i2CfGARPj3wX+xcTEICMjQ16+6qqr5JfgY8eOxeWXXy5buYhi4IwZM+TtBw8ejCuvvBLnnHMOLr74YowcOVIOhHnHHXf4m8r+/e9/l8W+M844A8ceeyy+/PJLPPigZyw3Upt4rgu932dvnvM1br75ZkQbo3HDsOtlwe/9zR/KIoFouSnaEHVv8QyGahw20r+NFqcNzeZmNNS3duO5qXQVfir9+YD3va3ajXM+asJHG/fuarKr8HXhKYrjN44fjfg9CiiBnpt1Ke67+y7U3XcnHK88BwNaC26GvHxcM+Qq/HbYdciJ9XSpKcahE0qcbQsWWnRgyz4d8VYN2dnZKPeu5txZihdffBEVlRV4cfXLeOPHt+T8Sbme7epRUdjRy9NFq7xeU432JrppEmNg+MY7OJi3l+zEr92vxFnxcZ4ZEREwzzjH32xfyMzMRLE3olp1FUwOhzw/5ufnQy8p8q+X1fMY/HHMnTg2Z9/jjQaD6IJ0fM6Bi32a2YzIJ1/Csutuwy9OyHP4rffeh+5vfICG089q3db2OozNtCC62NPazjT5BPk49E7shdEZozC891i83dKana0bW1vwHgrRx7X4cUhgyz7BWVcDozVSvgfcf8P1uDKhNSPClv4ZWFPR2rWqSowGDcmRmn9MxMPNH1EwMY+kAuaQVMAckkqYR1IBc0ihxgySSphH6hLFvoMRfdnOnz8fM2fOxMqVK3HBBRfgm2++adN9mfjiX7TW2LhxI/r374+ff/4Z3bp18y+/5JJL5Jhe9fWellwff/wxzjzzzJAcDx0eUejdbvF8Kd9T03HyxpVw/uF3iCkql4WjFFnw+wAralbJL/fN3pYuhgGD/dvYULUBmkFDfV1rsS/RbcHisl/h1g/QMkYDbC4xXlnXfdZ8xT4xIKh5wTx5uUnXsTGg5ZzP8QWbMP3nuTD95Gm5ZQtosSdabonuV7NjPAU5oU+fPhgwYADWebuu9IvxFPvcuo5am46ECA05OTn+ln22ogL858UXsfquG5H66Xeoz65C8impyHJ4unusykyEfVRsUIt94kcEYp8C++Q+kNqKckS6WjDG4TkHmY6f2qYFo6/YVxIwLl6OEUhNTZWXnQu+98yMioIhNw9xljjlupoUxDFN/M05+OCDD/Dhhx/KH1iY0jKQfvOdeLHvcLmOWQf+HJCftQM9LTJzY3NwQb/zEB0RhaZYb1FUPN/F2/dbhHvuuecwffp0VFW1dtVaWloqfy21Z7Evr3kXxo4/Fv+49884/sevYbB5ukW1PPA3LL3hHLwzLR9WkxUq+nWnCztq3UecP6JgYh5JBcwhqYA5JJUwj6QC5pBCjRkklTCPFAzqfTu8D99//z3uv/9+/3XRhd///d//yW49n3/+eTlWUSAx8OWtt96KJUuWyLG7RGFiT9OmTZPbFYVDX6tACg81Wbn+MeKmWQ3Q16xEy83XIGbZatww7DokRySjsrEC2QHpNuR4blNUX4R3Nr4Hq8GK2p12//L+kXmoaqnCttrt+71fXw9/3hpTl7RhwwY5HZjXDa5fPC2sNqdmoTrgMSnyFutyjRr6mTwP2nKnjvNqnfgowoDt3eKwY9yAfW7/sccewxxTa/eqguYds8/mBLrHG5Ab27ZlX4TdhjMsGkZv34ap32/Dv76swklRFjh3bPHsX6IbzZUuNOt60Ip9vsGdA1vmHUj1rp3Ibyr3t3Y0jhizz8L2zvjWHzHkJZmQlpYGva7W/9iv6BOPVbUb0ZGaHTou+rQZL69sff0ciHhM8vLy9hpYdsJlV2CZdyzFGG8FvSI5Cq83/4TK5rbjKsampaPK+8JLrXXirQ3v7LWO8N1332FnaSnWfv0ldJfLP16f0M3a9v577ZiDmcOy0XL3TdCLvK0KzzofdcMHYXZKFZJSuqF3Qi+oRhS9H/3JhtfXOI44f0TBxDySCphDUgFzSCphHkkFzCGFGjNIKmEeqcsW+4gCTfntjXs/IC3NsN17B6I//xK3jrgJ2KgjM6CLSUNmFnY17caLq16GS3fh+Ojj0NDU2jKmtyVTTucUfCeXH6jYt2fDs66koaFBTjO2bhD9I8rLw26+HdZzLpSXXVHRuKER+M47xpqwYlA33G+KlAXB12Pi8e0NpyMvb9g+ty8KXM/P/rLNPC3a0+It0qzhyRMjcOlgi7dlX+s6Jwe0gEu367h+bhksDs/zaOuWC/MKI2r04HbjWV5efsjdKFbsLEL3pjL/dUO37nutI1r27ShuLaj1zLUiJS0F1XM+9T/2ywamICs6Cx1JtG6tt+uw7/tlcshEF8sr4hLbzNsyOAfXDbsWyZFtf8AhWjTu9D7f/WyxaHY249V1r8Phbi14ifEaxXNwoVXD8Jefgu2hP8p5vvFb86xtux09zrEVk9/5O9ybPcVS00mnYeXM8fjrksdhd9lxct6JByyetTh1uEJQ+a+3A6IhZFKEdsT5Iwom5pFUwBySCphDUgnzSCpgDinUmEFSCfNIwXDgQZeIFNR/9Bg0Zef6xy2riYlDgtMOtLTA/tyTMBUVoqp8F0YavTeIiERdpBEvrHgBjY5GzBp0ORq3NkD0gufUddlC0L18LUafPwqLy5bgnQ3vye4D9+wW0eC96vK2EOuKWlpa5DTS27JMS0lF5KhxmDBmAtzHToaWnIIz/vcBHnv/TdSOy0VTTiw29E3GPb/9HRa8N1+OqTljxIFb0kZFRcH52L9gu+smID4BWrqnW8dAomXfzoBCS39vC8ISl44EswnR7tZK1NTjr8MbCx5BTW0FMg1AUfFquKo2oF9SP7Qn0aL4UO0qLcSEZu/p12CAlu1peeojilTxafEQHZFWaQYk6W5kOXR8lLockz7dBlEarI21oNuEM5AalYKOZPdWuy2+19dRPF4zH/sH3LdcDYO3u93JF90HU+LerelEi8ZSt46B0BBZUYMTu52POYXf4ZMtn+HsPp7x/0S3zM3NzZgY43keXAu+x4pnn8KcOXMQFxmBWLunm06fk+sr4V5VKS+XDJyAd8ZNRvWm95FoTcCo9N9gcUkP7Gpw4qR8E+psOuKsnoztbHCjslnHPxbbZcHt0clWWE0aGh06Nla6sbHKjeI6N0ZmGjEo1YBos4Yos+Zvlbel2o0V5W6srXCjV6IBFw4wyTH4hE1VLqyvcMv1o8xAjFlDWrSGTO8xlTe6UVzvefzFmH17Pp5EqmAeSQXMIamAOSSVMI+kAuaQQo0ZJJUwj9TeWOyjsGTIyILLW+z7JikDl979J9juuR165W44P/8Q10eYYM2wANVOIDMLL6x+WXbTeX7fczEoZSBWla6ShZTFTmC8GbAuXohz/nCPLAb+Wr4U0eYozOg5vU3LHn83nl14zD6bzSbHPjNtWi+vm044BZrRU/UxDjlGTq/97bXYNaASS81NmJg9AXdmj0dGdAaOu2fyId+PaeRYGF5801Pss3jGTdtY6cIvO104sbsJPXv2RJVJjE/W9sn42q5j8G13Y9z2jXB+9gG0zCwYevSWXf/WlHjWMdTWoaRxV7sW+0QXir7x9A5GFPJ2Fm1H92jPOHRiH7U9urj8rnAeZhd9gYiBUSgstCHJCGRXOdDTFonuRXVyndiTZ2JGn47vgtg3ZqXF94I4CrkDB6FlzAS4fp4PQ8/eMOXvu9tM8diWeu9X312OU3KOx466HVhY+hP6JvXB4JRB2LVrl1zePaAImfjR24gAcPull0B795V9bntDdg4emWCFoeZTDEhJRL+Eq/DcMtF1rKeV3NfbnNhW48Zzp0TIwt1t39lkYU+U3ETR7+PNTpzX3yzX++/q1paG84s9Befz+5tx4UAziurcuHOeDQ3erktFfW95uQsZ0ZosKC4tc+GBBW0LksLUfBNuGGGRuXlooR2FdZ4Hon+y4YjyRxRszCOpgDkkFTCHpBLmkVTAHFKoMYOkEuaRgoHFPgpL5suuhnP5EhQ4XPh8dw2u6N0PEc+8Igt+7i0bMazFCXgaoaEgyo6djTtxeo/TMCZztJwXHR0tp1/Y3RhvNsIkWv389CMum3IJXlj1En4ono8oUzRO7n6i/z4TIzT84/gIJIrqQRdu2TfT20pJMJ146l7r/Fg6H82WZpzSfSpO6X7yEd+XoUfbws+GSjfe3+DEiHQjslITcMejj6H4/juQE1B0KomNx/WnnAqT6QxYLr8GsFplIU0W+2RLQA0ZDit65h6L9iQKMQ6HQw6ue7Bx02pqatBUthW944xid2Dolr/XOiPSh6OsqQxrK1Zhs7MZw4wG5DW4cHlJun+d6KmhGWtUdOPZHi37fKy3/hGOzz6E6fj9Z0UUspb56rq6Dm1XOS4ZcBHmFMxFn8TecrboxjJVA6ICHv9U6LijeyZOGjwQ9nc98z6MiMOM5Hg0VdZha5oZT5+SjW6p8Tg1fwTGZo6BwxUDm8uFkZkG/HeVQ+ZuRIZRHnd6tIYzepvw9joHjs0VLfeMOCHP80CIlnwmA9Av2YC0KAO+2+FEdYuOrBjP/oiiXn6Chv7JJgxLN6BnggGvrHLgl1KXLPaJgqIo7E3MMcpuOpscOhrsQE6c5/ZON+SyXU0GnNLDiD6iAnwE+SMKNuaRVMAckgqYQ1IJ80gqYA4p1JhBUgnzSMHAYh+FJeOAwTD893+47owZaKorxeLFizF69GhEPPECau+4AeYNa/3rxnXvj+Nzx+L43Cn+eT169MAll1yCsuJi1Cz9AQkGDc45XyHixFNx5eAr8MyK5/Hljq8Qb43zFwhFS6beSVqXfhMSLfuGRHtaFGl5+TDk92yzjs1lw4/FC5AUkYST8k5o1/uvtXlaRCV4xyo7dvJkFF48C3j7P/51bnjyafnLGLl/sZ6Wc/I2otjn6/WzrlYeS4urBb/sXIzJOccedYFEFFpKS0vlmIOWPVrp7WnHjh0w6W7keO/TkJsnp9trd6DGVoNj0oYhMSIBF/e/EN+lz8H6mnrZgtGiaTDP/cpzmx699iqGdhSbrxvPduo1UktMguXSqw64juzGM2CwTHdpCeJyuuGs3jP980SxL7BVX51bR5xBwwn1VXB9/D85TxeP4b3nIm701fhynQOF9Wtxf+9k9E3MaZOBSwZ5Du7RyQY5Rp4vc8J5/U3om2SQXXQGtm7sFmeQfz6/6SdanrYyGzU8MrntLwVEiz2fc/ZYf0/i9ucPMB91/oiCjXkkFTCHpALmkFTCPJIKmEMKNWaQVMI8UjCw2EdhKzIzGyMmTcKCBQvw29/+Vhb7brjhBpjGHYecgGJfes9hOKPntDa3FV/s33TTTSgsLMSCi77H6VYNrjUroDsciDRH4tohV2FByU8YmDzQfxsx3tbuJh0RJg3x3vG7uhK73S6n0d7xxQwpaXuts2jnYjQ5m3Ba/ikwau3U9MurxtvDYeBjn3vplWjyFvu01DTk9uu/z9uKYl+1r1bkcACNjfhq53f4sWQ+RIeMU3KPO6p9Ey2qRKFFTA+moKBAdoXqe3TWR3XDP2f/CJv+GeIsVjw1pR8izBEyb3XDr0FhShmw7C+eY7R5mqtWjpuKBLuO7bVubK5yI8aioU+SAXlxmsx2Qa0b9XZdjgm3udqNDzc6cWJ3IybkeE75YllZg45mpw7RCFa0ImtxQd6+f4rRPzadeKTLG3XsbNTleHGpUQaMyjTgkclWpEd13GvAM2Zf63XPeJ3j5OVl65fhoX88hOiWaAwJKL490uTGYzFGaC4nXL8ukvNK+2ZjjaNYFnvPk4WzYQe8XzGWXsIeLXkNmobhGe2b7aN1OPkjCjbmkVTAHJIKmENSCfNIKmAOKdSYQVIJ80jBwGIfhS1R1Hj00Ufx9ttv4/XXX5et+8Rffm4u/hu4Xlb2freRk5ODVTDidDECV0sL3BvWwjh4GGItsTg1f2qbdRsdwNVftvjH0OqKXXgKUbLYpwORkXuts3L3KliNVozOGNXu91/TosNsAKID6hma2YyIfz4P+2svwXzepfu9rSj2FQQWi2qrcWr+KdhYvRGfb/sCYzLGIMq89/EcThYPtUXVsmXL2rRA+2+thpqYj6HriUg0XywLfcKrqx2oiemBwmgTakzRSHA2+u4MDxgno/xTMepkq9xYDU+fHCELdF9sdeLLbU45Lpyuy2dLFu9GZhhhNWl4d50Dn27xjEkX6Mw+Jlnss7t03P6dDfXe8eUCjciIwODUji12paeno1KHbJ2ZoAHOhd/DfOa5ctlfFzwOPb8RN39bgv6RnpZ1tW4dtkHDYBrUC67PP/JvJ//s63DHyDGdrqvLw8kfUbAxj6QC5pBUwBySSphHUgFzSKHGDJJKmEcKBhb7KGw5nU40NjbisssuwznnnCMLfqLwt72oCDtjDcj0tvIxZO6/2GcwGFCd0x3YvV1ed61cKot9PrW2OizftUKO5WXSPF+mB/Qm2KWILjyFCFko0YGItk2e7C47CusK0TuxN8zG9m9hJLrxFK369izUGIccg8jHnz3gbT3deLY+cXpNNSKyczE+axw+2vIJCuoK0D+531Flsbq6GomJif5uRPfF7XZj0aJFuNY77qHLZEFcnwbkGQ24dcSVMBsy/OsW1ekYnhOF3Z++hjWx3TCxer1nwdARmDk+C2sr3EiK1DAuyygL0RsqXaho0pEWrckx4MT4cmK8OXHUZ/U14bsdLlQ068iO1ZATZ8Blg8yIMAGRZg2RJiDCqCHTO76cww2c2tMki34ZMQa5LdGSr7xJR7q3G9eOFBcXh6joaHxja8K5EQa4VyyFu7QYhqwcJJTFIWvJdvQ3tebCnZ2Lx//xD4hGoE0/zpVdtyImFqbxxyLeYkVnc6j5I2IeqavgeZFUwBySSphHUgFzSKHGDJJKmEcKBn4rSGFNFE98xQDRhecFF1yAV155Bf+a+y0edTfC1LM3tAMU+4TUPn1RULYNeUYNrhVLgYuvhMvlwltvvYVErQQ1u9dgzXmRGJw+Uq7vcuth+Tjdf//96NWrFy69dP8t4A6lZV+kt9anRUS1WV5YXwSX7kKvhB4IBtF1ouMIK61txuzzFvuE/Ph8Od1Wu/2oin2BWTyQjRs3oqmqCscleFrGWcZPgjWuEMnuBOTFZbYpZN4+xgKL0YJ5d/2EzZFGTPTWqCwnnYppvcyYtseQfaOzWlvbie47xV+g/smty0/pceBTf7RZw8WD9i7Y5rQOg9ihxOMiWuHO3rwR53przM6vPodl1nXQSoDUKicQ0Xq8KQMGISI+Xl623vUAGl58AkvH9UBeUzF6WdqOM9lZHEr+iDoK80gqYA5JBcwhqYR5JBUwhxRqzCCphHmk9sZiH4Ut0YJFdO8XKCkpCbfffjtw++3QRXHKbIZmOHBLpH79+mH53C9ksc+9dhVcm9bjbx98jDkffoD3440Q7fmMg3bB6G10FYa1PmzduhVffPGFvCxa/5w+cTxa7rtTdnFqvfWP0A6htZOv2Gf1tZCLbNuyr2d8D/xx9F2wmoLTneBFA4+8taAs9rn3LvZlxWTKgtr2Wk/LzvbMovDNN9/gk08+kWPOiTHVtm/fjolmDb5HrunY8djd/D3GZY7dq8VilLf13+TJk7FgwQ+41GqEKSUVpolHN75guBLFvu82bkRdZg7idhbD+c3nMF92NUpLS3HCHr1yfpi6G6vn3yNbmFoMZtRd2hMGzYAbTXsMwNdJ7C9/RKHAPJIKmENSAXNIKmEeSQXMIYUaM0gqYR4pGFjso7Cl67psgWc0Gvc5Bpe2RzeT+zNmzBg8+i8dM0W9y+FA3c3XYk1lEyaZNVnoE9zvvgHDiaeFbTeeoos/n7/85S8Y/pszkLBuNbBuNWwOJ6x/euigRVFR7BOPslV2DCke37Zj3InnIDUqBSoSxbYqHbDrgEUDXMuXwDxtJoyaEXlxedhRuwNOtxMmg6ldsyhamW7ZssV/XTzCz8Z4H+fYOKzLjwW2A/2S+u532w8//DD+97//wTl+HGIzM6FFx6CrFvuE9Tn5GLOzGHrFbjiX/Izy8nKkRXge8/IoAz45ZzDK8uLRPS4XDpcDdrcDkaYonNHzNGTHHLiVb2c9FxIxj9TV8LxIKmAOSSXMI6mAOaRQYwZJJcwjBUPHD75E1E4cDgeKi4vl9Gjk5+ejNCkNTzZ5mn5Z7Db8I8aA30S2dnvobKjDrqZdstjlDuNinygG2O12lH31uX+Z64c5cM756pDG7GtTPg0o9omiyuKyJaiz1yEYyhvd+NMPLfix0HnELfvikpPxvRiMThzzgu+hV1fJyz3i8+FwO1DSUNLuWaysrJTTm266CZdffjn+MGyAf2w58xlnYV3tZtnirE9i7/1uOzIyUna9mtSrd5ct9AnZ2Z5C3c/GCH/2mj55Xxa5Msye12pFRiIKc+Nw8YCLcP3Qa/H74b/D7SNvwW0jb0afxD7orNrrXEjUHphHUgFzSCpgDkklzCOpgDmkUGMGSSXMIwUDi30U1s2dMzIy5PRoiJYwY8eOxUd2Hf/0FvxiNQ09tNaqnrGiAkvWfIl3Z0bKsdTCtdg3ffp0jBo0EL3cbYsCzq8/O+g2RMs+bwOqvVr2iTHv3t7wLn4tW4pgqGzWsXq3G9UtR15pFeMVfmbz3t7phOOb2f5in/g1zb1P34/5v78OLXffDL3aU6Q7miyKIlRNTY3M14UXXogbrrkap1bulMu09Ezg/IuxpWarHDcwopN2LxmMln3by8pgmnyCvGxc+gsSNCDV+1odNGQK/jDqNgxOGYSupL3OhUTtgXkkFTCHpALmkFTCPJIKmEMKNWaQVMI8UjCw2Edhy2AwICIiQk6Plij2CZ/YdcwbMHyf6zhXL0eESYPJoIVtsS81NRUPX3AuTN6u/mqiY+XUvXIZ3OVlB23ZFxl46JGtxb7c2Bxc1O8CDE0dEpT9r/EW+RICq42HqXfv3ljlAmrjEuR15xcfQ3e7ZbHPbXejurkIw9cth2vJz7A9/fhRZ1EU+kQRMT4+XraodC1bAtR7Wj5aZl2HbS2lskVh/wN04Ul7F/tECzbTqdPlZc3txtlWzT+OpDk9C5nRmV3uYWvPcyHR0WIeSQXMIamAOSSVMI+kAuaQQo0ZJJUwjxQM/GaQwpbT6URVVZWcHq0JEybIll+nnXYaTnvyGVhu+xPcRiNKXDo8bf2A+M0FWFTShPWVLoQL3eWC3tzkL/YlJiYiZutGedmp67hvd71/Xed3Xx28Zd9+xkSMMkdhZMYIJEcmIxhqbJ5pgvXIi33i+RUWxXvGFdRLiuFesVSO05fmTEVyTWuOXD/OPeosiutCUlKSZ5sLf/QsMFtgHDcJPeN74NohV2F42jFHfExdia/lWkVFBew9+0DLzZPzL4lofRvTUtPRFbXnuZDoaDGPpALmkFTAHJJKmEdSAXNIocYMkkqYRwoGFvsobIlWU6K1mZgerejoaLzzzjt48MEH5S8rzKdOR9Mzr+LSejc26J6XSWZ5A55csg1vrgmPcbG+mD0b1VdfhKazTkZkSaG/2Odaulhe3hmXiBV2Fyq9rftEi7bDatnn7cazxdkixzNsj+ch2C37hE9qm2TBTXB8/pGc5uzOQtSvDe2axcBinyi6On/2FPuMw0dBi4qG2WhGv6R+SIxIPOL77UrE6zIrK0tevv3227EqzTOGXyAtrWsW+9rzXEh0tJhHUgFzSCpgDkklzCOpgDmkUGMGSSXMIwUDi30UtsxmMzIzM+U0GNJ69kJETAyKHJ7WMnF1dri1IrjD4Pv0rVu34tkH7oO1cLsY8RUDSwrk/FSjBr1gu7ycOOVEOZ7cqlpP6z69suKIxuxbtHMx/rL4b1i+a0XQjsc3Vl/8UbTsy8/PlwWj9cUl0CZNkfNcC7+X4/OJriHT9uieVW9pOaIs2u12fPTRRygoKPAX+9zr1wA1ntaVxgmTUd64S47Xx+LM4TnuuOPk9JdffsGf586XrVMDddViX7DPhUSHg3kkFTCHpALmkFTCPJIKmEMKNWaQVMI8UjCw2EdhSxRK3G530AomohCWl5eH3d5+PGPrbdDdO+AKg2JfSUkJMgNe3f0aa+U0tbTIPy/lxFPQv39/1MR4VtRrPC3R9ke0HArsxlOM2dfitOG7wrmIs8RhcMogBMvkbkbMGmJGnPXIt2GxWNC9e3eZmRXpnvHf4HLB8fVsT7HP3LbY596xdZ/b2bJlC6688kr89NNP+8ziG2+8gUceeQTPPvusXJacnAzXwh88K2oaTOMmYW7RPDyz4jmUN5Uf+QF1Qb///e8xe/Zs2QJ30hnT8aMpqs1yLTE43ch29XMh0eFgHkkFzCGpgDkklTCPpALmkEKNGSSVMI8UDCz2UdhyOBwoLCyU02COE+Yr9hl1ILZpK1xh0LSvrKwM6QEt1ZJ1F3oYgJgtnvH6EBUNQ9/+iMqPRlMPbwWtqQm6reWALfsiNa1Ny74fin9Ag6MBp3Q/WXZLGSyDUo2Y2ccMQ8D9H4nzzjtPTu99+124c7rJy87ZH6OkqAipexRK3njoAaxatWqvbXzyySdYuXKlLDzt2LFjrywuXLhQzhtua8BAI5CYkACnt9hnGDgEWmISTug2BTN6TkdGdMZRHU9XlJ6eLsfWvPfeezHttXfaLNOMRnRFHXEuJDpUzCOpgDkkFTCHpBLmkVTAHFKoMYOkEuaRgoHFPgpbJpMJaWlpchrMYt+ugOJeYkMtbO5KqK60tBQZe7y6x1k0GNeulJeNw0ZANxjQ1KMZ1ebWFZt2l+5ze7rdjmHLF+E3Ad1oNhndmFf0A1IjUzA6cxTCwZlnnolRo0ahpqYW32iecfv0nSXIrtyF1D0KidnFO/DyNbPw+JWXY+N3c6DX1cpf3dTWelpJCrNmzcIrr7wCW0MDUneXwfbaSxi5aTWmmjU8FG3EP2IM6NXcAL20WK5vmjBZTtOi0nBc7rEdeuydkSE9A+ZLrpKXTTPORlfVEedCokPFPJIKmENSAXNIKmEeSQXMIYUaM0gqYR4pGPjNIIUtMf5aVFTbbvyCUexbHNDgK63Jjl1G0RWmtxtIhYt9o/co9p1lNQJVnkKlcfhobK7eAmeEGxW7WlsDLdnwLY7LuXav7dU9/TiGbt8ImFoLYt/v/gU2lw2n5Z8LoxbcFlWXfNaMY9INuHW09agz8+c//1m28Ht6zUZMTTBD090YYQLSjW2LfePMGsaZjUDBeuAvf0KT+NVNzz7Y7fbsQ54BGG+rR/6rz8P+5gtyPEPxkF8qCqLeoqhoCdl/0Q+tXaGOGolFxQswNmsMzAaOr9YeLJddDdMpZ0BLSUVX1RHnQqJDxTySCphDUgFzSCphHkkFzCGFGjNIKmEeKRjYso/ClsvlQk1NjZwGt2Vf6/XuDjvG5uy79ZtKdu7ciYyAbjyFFK21amkcMRrzSxbAZDKivNjun5/asvcp4X//+x9MX36y1/z5lUuRE5ONIamDEUw2p45am46j68CzVVZWFm666SY06MAO70PS16ghzeg59gZdh3M/d2beugk9SwrQzwi8Gm/CdZEGjDZrstC3P1FlJZ4L3fPxdt0CfLjlY2yo9HanSu3Wwq+rduHZUedCokPFPJIKmENSAXNIKmEeSQXMIYUaM0gqYR4pGFjso7DldrvR2Ngop8Es9tXqgK/t22RrP5ze4zSERTee3gLU7j3GGNRS07AxsglrK9chy5iN3fYI/7I+2t6to/7397/uNc9tNMBu0DGtx2kwaME9jdTYPPsfH9CF6NE666yzZHee621OeX2EWYNV9+To1RYdsy+6HpFvfgLHk/+Hojt/j6UXTkWl9/5PQz1GmDRo3jH+tMxsVI0cj5fi0/Fo4/6LLYu6m7Guaj2Gpx2DQSkD2+1YiDriXEh0qJhHUgFzSCpgDkklzCOpgDmkUGMGSSXMIwUDu/GksGU2m5GdnR3U+xDFPqFC15Cp6bCV2/F9gRmn9oSympqa0FBbi7R4T0unuXYdZ1g1RHlrZb9mDMXHa96B1RiBnS3noOiEqcBPt8tlP62tgGmIAxNyPV1MLl63Aydk9ASadrS5D5vZgPTInthe3QNfb7WjpMGNY9KNSI3UMDbbiBiLBreuY3m5G4W1bhTV6yipd6N7vAHTe5uQHespEK7Z7SmOVbfoqGjSUdmiw+kGTulhkutWNet4Y42n1JpwoOZzR9id5+sXngPAU/Dz6T5iFGZeeCEMFgsS0jOQMGgU+gF45ZNfcJ6tBnl2HWdFGQFR7IuLR9TrH0J0oHgzgBXLlqHlr/cionL3Xve5olcszup9JiZmjYe2x/iARKqfC4kOFfNIKmAOSQXMIamEeSQVMIcUaswgqYR5pGBgsY/oABISEmCxWFDuciLTpKGhtBzvbShEhKUQU3KPU7YLzxQN8A1BV+QGftXNOFbzFM1+yrCj0eHC2X0uxluVqbAZbWgwRSLG2YzdO3/E2qIoTMi9UK5717wWPLzHWHaC3WzA9upx+KnIs81IE7Ch0tOqKDvWiv4pRpTU63hggc1/mygTsL7SLbvkvGucZ9y7p361o6yxbctDYWKOp1AZYQJ+KPIUBFN91cp27M7z9JtuAZ75e5v5v7n2Ohgtlr3WL+wzBM7lP8qTZoq3VZ8hKwfLypfD6XZidOYoDBs+HFv+dCt2vfw0dtirMWNzs1yvLj4S55x6F7rFd2vXYyAiIiIiIiIiIiIiYrGPwpbdbpeFrczMTFmQCwbRAku07ttdUSSuIb5+Nxpcc/DZ1s0YkjIEyZFJULILz4CeNXuMHYfv1xbiWNdOOE0m1AxowbE54zA+6xjkjCjGwifuR020BTFoRk80YalrPQrrihBlj0Ld8k/RraF4r/swRcbggv75iDJb0SfJgFgLsGKXGy43kBPnuXOHC/jtcAtyYzXkxnnWWbLTjfJGN3RvsezSwWZUNulIitSQEqUhOUKDGGowzttlZpRZw1MnRaC03o1Rme0/JtuA005HU2CxT9NgyNp3C6nsPn1Q8OsP6BlQ/NSyc/Fd4Vw0O1uQbk+TWdwQ04JvzuiO8g/qMMO7XtzkUxDNQh+F8bmQiHmkcMLzIqmAOSSVMI+kAuaQQo0ZJJUwjxQMLPZR2DKZTEhOTpbTYJLFvl2i2AfE1VcgAifj1hHTlCz0CSUlJcgQFTOvC266Be9sqsZnKzfD2r0MMamN+E3vM+WypMQEGBt3ocZoQo4ByHZYYXO14IllT6FudQ1iN6xAYsTeY/LFxqfiuLz4NvNGZLQtxvVINMi/QKOzxDqt603MOfhzJ7rzFH/BoFkjoHXvAX3HNnndfPaF0BKT97luz549sdWltyn2icLgeX1PhQYNiYYEmcWp3U/C8bnHoW5QHfD2f6CtW4OIsy8Jyv4TdeS5kOhQMI+kAuaQVMAckkqYR1IBc0ihxgySSphHCgZ+M0hhS4y7FhMTE/T7EcW+XSs8l41uJ+IbDMiJzT7sQVcffvhh5Ofn4+KLLw7amG3ifj755BOMD6iNGTMycXFePnDScHn9VGcLIkwR8nJ0dLR8c6kUA+VZNMQ0OXH7yFvxzPznsM64Dv1PTgJ+rNn7jiIi0VmYp58N+7P/hGnaTJiv/t1+1+vRowc+8PQo6qdl5aBbXG6beQYYYDaYEZURBdxyd7B2m6jDz4VEh4J5JBUwh6QC5pBUwjySCphDCjVmkFTCPFIwBKe5DFEHcLlcqKurk9Ngys7ORpG7dVy59MoCOV25exXe2fCev0vKA9m6dSs+/fRT/N+//oU3H34ArrWroDs84921pzlz5mDz5s3oHu0pxmlJybL1WmnDTjjcnvvzFfrkck2T4xJWe49Br65CvBaH5U//ivp5NRhsTfCvWxLT2iKvztD++x4q5um/QdTnP8B64x3QDPs/Jebm5qJAa9t6UYzZ15FZJNoX5o9UwjySCphDUgFzSCphHkkFzCGFGjNIKmEeKRhY7KOwJVqx1dbWymkwDR48GDsCajgjnYVyur5yA34pW4xN1ZsPug2xn6It3zMxBpz5w5douelq2J//V7u/STz//PPy8tDMDDnV0jJgd9nx54Uv4Pbv/2+fhUlR7KvyPYT1dXju6aexa9cu9IrsicsyT/Svt8bZeltjRBQ6E+0Quj80Go1w5uTts9jXUVkk2hfmj1TCPJIKmENSAXNIKmEeSQXMIYUaM0gqYR4pGFjso7BlNptlaysxDXaxr9pgRIO3UHa85hm/T4zNZtSMmL39y4NuQ7T6StaA/qbW7jtdi39q1/2cPXs2CgsLZUvEZG8rPi0jEw6XAzXN46C7J+yz+9DExERUBdQA5334gWxKfs8998BYvlPOazBbUFjt9K8TE9F2vL6u4nd/vrftjITEDs0i0b4wf6QS5pFUwBySCphDUgnzSCpgDinUmEFSCfNIwcBiH9FBREZGYsCAASjwtu5zF2yX08SIRAxLG4qi+iLU2+sPWuyL3qPOppeVQm9paZfH3+Fw4KWXXpKXr736amBXubxsSM+CG1FwOCehd8Kwfd5WtOwrC+imNNOg47LLLkOfPn3gLimW8+pj4toUBNHchK5owMCBoomf/3qwxl4kIiIiIiIiIiIiIjpUB++7jkhRosBVVlaGjIyMoLeoOuaYY7BjyxoMNGmo37wNby63oVuCEUZkocmxFKt27cSEnFi57pdbnRB1MaPm/TMAv1ZFIsoaDSCguKfr+HXJVjR26yvXF/W2iblGWI0aqlt0/FLqqS76ykmirmQ2AFPyPC/b4jo3NlR6uo1cuPAnFJjzkTFqHDK6DRN9esr5ZdEpmLexTvxeBOl7VhsDWvatC+h9Msug4cILL/TsYqmn2NcUn4jKIk8BUc7vosU+IeKJF+B44xWYf3N+SLJItCfmj1TCPJIKmENSAXNIKmEeSQXMIYUaM0gqYR4pGFjso7AlupqMj4+X02ATxb6f331dXo5uqcP3aypQF5kIHcmAUceX20sxIaePXP7hRgfKm9qOjbe7pS8GR6cCTk8XoD7z5m/Bgj75/uvD0iNhjQR2Nrjx7DL7XvsRY9b8xb41FZ51dLcbW4oS4Bx2GRw5OfhpRQH6etf/2Qm8v+VBQJuBvPgJB2jZB7ihwQAd+ZFWWQB0FxVAr6qU6ziSU1Grb2i9UVPXLfYZBwyG8dEnQpZFoj0xf6QS5pFUwBySCphDUgnzSCpgDinUmEFSCfNIwcBiH4Uto9GIuLi4Drmvvn374h1XawHvyd47sa1bBjZWZ2NOoYbuCbv9y+4aZ0WDQ4fbDYibiBZ7r73xAyKadgGWtts9O7IQx46zwKBpsuVerHd5bpwBD06yisZ/ku+eRUtBnxEZBtw30Yrvv/8BhfNfRe+8PNx79b1I/eVX/zqW7CZkuoEL+nTHqMx9F6J69OgB0Q5wlw5kaEDPqEjoug7bU3/zrKBpqO87APXz5rfeKNbTipE6PotEe2L+SCXMI6mAOSQVMIekEuaRVMAcUqgxg6QS5pGCgcU+CltutxtNTU2IiooKeouqlJQUFKF1rLa4gvUYPXYkRmUmYkN1NBodZf5lPRP33pcPq9Yj0tkMWDzLmnQdUZqGrKoC9Mje+2UYa9EwLL31/vYlNcqA1Cjgh9IVMO9ai7PPPwEjM02wN5TD4V2nNKYOKY4oTO6WIwuK+ytkCsVONzLMGrKNgGvu13Av9xQNTaefhbSxE1Dy7AtY6tAxIiEW1htuO6THravoyCwSMX+kMp4PSQXMIamAOSSVMI+kAuaQQo0ZJJUwjxQM/FaawpbT6URlZaWcBpss4KSmodDbus/1/bdyqmkaMqMzsLOxTLaG25+6ujrEBNTa1nh32V2w/aj3raqqSk6Tk5PlVC/f6VmQkIgi+y5kxWTBoO3/pZ6dnY3o6GiUiCaIYjstzbA996Tn+BKTYLnyegwYMAD3338/Ep56CVH/+xKG/J5Hvd+dSUdmkYj5I5XxfEgqYA5JBcwhqYR5JBUwhxRqzCCphHmkYGCxj8KWxWJBXl6enHaEjMxMfOfwFMTcmzfKMe2EzJhM2Fw21NhqDljsi/YW+9yahg3eoqG+swR6S0u7FPuSkpI82y/c4Zmmpsr9yonJOmghU7TuK3V7rpudDqCmWl62XH8ztBhPl52nn346hgwdCq2DHu9w0tFZJGL+SFU8H5IKmENSAXNIKmEeSQXMIYUaM0gqYR4pGFjsIzpEmaLYZ29tveec+42cdo/LQ9/EPrC57IdW7LNGYJNv/D9dh3v9mnYr9un1dXCvX+u5z565cipa9h1Mv379/C37fAzDR8M45eSj2jciIiIiIiIiIiIiIgouFvsobDkcDpSUlMhpRxX7itxAZYKnu0znvG9k150j0ofjuqHXoHJHBSq++waOD9+B7mrbnWNtba2/G093ZBRWBSx2rVx6WPshxoZ777335HTPYp/r118At0teL+jnKfLlxGQfUrGv1HMzD7MF1t/fIbspJfWySMT8kap4PiQVMIekAuaQVMI8kgqYQwo1ZpBUwjxSMJiCslWiDiC6nxRjzcnx9DpARkaGnK5OSMFxNZXQiwvh3rIRxt79sGvXLvzuiivweZwGX/s+81nny6nL5UJjYyOio737GR2NWh0oMpqR63LAtXLZYe3HW2+9heeffx7FxcW4+eabUVPj6T40MTERrl8WelaKjML6LAuM9UakRaUddJuDBg1Cia6hQTMgRnfDfMFlMOR0O6z96so6OotEzB+piudDUgFzSCpgDkklzCOpgDmkUGMGSSXMIwUDi30UtoxGIxISEjrs/kTLPuFH3YjjvPOcc7+Wxb7P1s1G3rhoYK2ntZ3jf2/5i3319fVyGm8yinZ9MHrHwFutGyA62nRvWCvH7dMiIg5pP9auXQsrgG7ffIa6nHS43W7Ex8fDqGmwLflZrmMcMRqFLWXIiM6AyXDwl3m3bt3w1yefRIutCckaYJx8whE8Ql1XR2eRiPkjVfF8SCpgDkkFzCGphHkkFTCHFGrMIKmEeaRgYDMUCluiyCW6shTTjmzZt6GiCobBw+Rl1/dzoLvdKKkrQWKcKOZ56HZbm/H6hFij5+VmjIuX0yXN3i4fHQ64160+5P3YtGkTTrRoONXZBPOLT6GnwdOFp3vjOqDW08qvZfgw1NnrkBubc8jbnTBhAvKOPwmmKSdBYws1pbNIxPyRqng+JBUwh6QC5pBUwjySCphDCjVmkFTCPFIwsNhHYcvpdMruM8W0I4t95eXlME45SV7Wd++Ce81KZFSkwTSntnVl297FPt+Yfca4OFiiLNhyUsxhj9sntiXuf6K5dSy9aVbNM17fIm8XnqIL0TETcGavGXI8Qep8WSRi/khVPB+SCphDUgFzSCphHkkFzCGFGjNIKmEeKRjYjSeFLbPZLLuf1LTWwlcwWa1WOS5edXU1qvsPQYzRKAbkk115VrUASYG7YWvZq9gXqetyqkXHInF4EhpTdNRkJiNhZ6Uct6/FaUOESXTQuX+bN2+WU4uh9c5OMmvYnJjgH6/P0LsvItO74VhwzL3OmkUi5o9UxfMhqYA5JBUwh6QS5pFUwBxSqDGDpBLmkYKBLfsobInCihjMtCMLLAMGDJDTVz/6WI6LJzh/nIuK8jIkRwa8nHRdjsMXWOyLcLvk1BUZAXN/K9wNLhj6HuOZt2EtHv7xPqzYtfKgXXgKfSJbx/eLM2iYVF8F91bPMuOYCWhyeMYOpM6bRSLmj1TE8yGpgDkkFTCHpBLmkVTAHFKoMYOkEuaRgoHFPgpbDocDO3fulNOOcuONN8qizvvvv4/yfoM9M+tqkVxcgKSArjUFvXynZ3FdHSIDXmylei0MEQY0rWxETXZ3OU9zOjGiwnLQYpFo2Se2FWdvbTkojNq2wX+56Zih+NPCe/HF9q/a45BJ0SwSMX+kIp4PSQXMIamAOSSVMI+kAuaQQo0ZJJUwjxQMLPZR2BKFMdG1Zke2purVqxcuuOACOYjqo9/OEzsh56dVVyK+2d1mXXdZqZxWVVX5x+sTSvRaGI1G2Le3oCw5zb+NaQ1ZGJo6pM029NpauHds81/fuHEjcox775fFYfdcSEhE1IBjMDB5ADKiPWMMUufMIhHzRyri+ZBUwBySCphDUgnzSCpgDinUmEFSCfNIwcBiH4Utk8mEpKQkOe1I1157LVJTU7F0/QY0xcbJeen25rZj9olCXZmnZd+qVasQHbCswFWJWGcsdLuOSrsDhh695HzXyqVyWmurk4O03vL7G1FxyVlovuoCOJcsQmNjo2zZ193UWu37zt62wGgaPR4WsxVXDLwMw/YoHFLnyyIR80eq4fmQVMAckgqYQ1IJ80gqYA4p1JhBUgnzSMHAYh+FLdG6rqWlRU47UlRUFG699VZ5eW1tg5zmGTUk7vFqcpeXwm63Y+XKlW2KfQ0WHWl6irxcW1sLw9DhnvU3rsNnaz/AQ4sewdpNa7F50c+IavJs3zn7I7kdcazD0z23FS0CP7Prbe5zZfco6LoOo8EIg8aXd2fPIhHzR6rh+ZBUwBySCphDUgnzSCpgDinUmEFSCfNIwcBqAIUt0fqtrKxMTjvaiSeeiNGjR2OLzTNGWzcDkLJHF45Nxduwbt062Gw29MrM9M9vsZqQY83xF/uMQ0d4FjidyC9phEt3YUX5SiQEbM61+GesWvyLvNwvJlpOtfQMnHLLHbAbPC39XAYN67tHww0WnLpSFomYP1IJ80gqYA5JBcwhqYR5JBUwhxRqzCCphHmkYGCxj8KW2WxGTk6OnIaiX+W77roLxZqn0GbSNBj36MbTtnYllvy6WF4elN/dP1+PikK3mFx5uaamBsbBw/zj9uUX1MgWeRvrN7Up9sFug/PnBfJihttTUDJkd8OAE4eioG+qvF7eOxsXjrwKRu8+UdfIIhHzRyphHkkFzCGpgDkklTCPpALmkEKNGSSVMI8UDCz2UdgSBTfRv7GYhkK3bt0w7tzz95q/zunpWjO2tgnbdsyRl3tnZfiXZ6T2REJCgrxcV1cHLS4ehh695XXDmtXok9AbpY6dSDS3Pa5eZcUwGAyIrK2W150Z6Xhj/ZuYfWofbDvvNOTd+xTMBhabumIWqWtj/kglzCOpgDkkFTCHpBLmkVTAHFKoMYOkEuaRgoHFPgrr5s7l5eUh7Trx5Cuu2mte4Dh6fWp3w9LDitzoKM8MgwGnHHO+v9gnWvbJ2b5x+zasxbC4vnC4HEhOMrXZ7miTjnE98qE1N8nr6y21aHI249QRF2Lw1ffBkp4dvAMl5bNIXRfzRyphHkkFzCGpgDkklTCPpALmkEKNGSSVMI8UDCz2UVgTLd1CSYuJgZbi6UbTZ4NThy2nm7w8qtiGjLxMRNTVetZPTkFyTCoyMjwt/cSYfgsXLoRx0FDPjV0uDKqPgMvpQlJs2+44rZqG82Ms/uvLTbvRK6EnjkkbFuzDpDDIInVtzB+phHkkFTCHpALmkFTCPJIKmEMKNWaQVMI8Unvjt9MUtkS3iampqXIaSoZ+A/2X3dCwWwd25vaQ1/PrXTgpeiDcu8rldXtyopympaXh6quvhtvtxt13340iS4R/G5btBTDVGJFo9rw8bZFRaDJ4Cn8DS7b716tKjMCxOZPYdaQCVMkidU3MH6mEeSQVMIekAuaQVMI8kgqYQwo1ZpBUwjxSMLDYR2FL13XY7XY5DSXL726H+cLLYZw0BYuOGYt6HVgb6+mmU5hkNULfVSYv74x0+edfc801mDp1KpqamnDjQ49Aj46R892bN8Jd7EK83S2vV0UYMN972ehw+G9vS0lC/6R+HXacpH4WqWti/kglzCOpgDkkFTCHpBLmkVTAHFKoMYOkEuaRgoHFPgpbDocDpaWlchpKhpRUWGZdj4j7HkPzpOPlvKUV1Sjz1OeQV1oAvWKXvJzbc2SbgVjvu+8+DBkyBGXl5djkcPuLfY1bGhFn81yvbHbiu5a2Y8E1xlgxOHcUTAa2JFOBKlmkron5I5Uwj6QC5pBUwBySSphHUgFzSKHGDJJKmEcKBhb7KGyZzWZkZWXJqSpyc3PldMHChZjvLd4Z1q8Ro67Ky9aMnDbrWywWPP744/I4ltc1yHnugm1oKK9CTI2nFWBpXROWOoFmc2thL7ZbH0zrcWqHHReFXxap62D+SCXMI6mAOSQVMIekEuaRVMAcUqgxg6QS5pGCgcU+CluiZZwolompasU+m82GhY69u3TU0tL3mpeUlIQnn3wSW9ze43A6kdbShHhvl5A1bkCUCnf0aS0UGrJyYDVag3cgFPZZpK6D+SOVMI+kAuaQVMAckkqYR1IBc0ihxgySSphHCgYW+yhsOZ1O7N69W05VkZycjIiICHl5lRNwRkS2Wa6lZezzdj169IC53wD/9REmDVHewlGtt2bY84wrWreT1baFIIWWilmkroP5I5Uwj6QC5pBUwBySSphHUgFzSKHGDJJKmEcKBhb7KKy53d6B8RT6VYavdZ/ohFMbPb7NcsM+Wvb5DD7lNOxyeyp751pbW4jV6EC3bt2QMPkEaN17inbeMI4eF7RjoM6RRepamD9SCfNIKmAOSQXMIamEeSQVMIcUaswgqYR5pPbGYh+FLZPJhPT0dDlVia/YJ1rrRU05qXWBaOUXG7ff2005/nh8ZfdcTja0Fvuq3TqGDx8OzWxG5POvIerd2TD2GxjEI6DOkkXqGpg/UgnzSCpgDkkFzCGphHkkFTCHFGrMIKmEeaRgYLGPwpau67LJs5iqRLTCE0SBzjhyDGC2+MfrO9CYbikpKSjtP2Sv+aJln9iW3IbJBC0uPmj7Tp0ri9Q1MH+kEuaRVMAckgqYQ1IJ80gqYA4p1JhBUgnzSMHAYh+FLYfDgeLiYjlVybnnnouzzz4bs2bNghYZBePEyXK+oU+/g9521h//hMWOPQpGcfEYO3ZssHaXOnEWqWtg/kglzCOpgDkkFTCHpBLmkVTAHFKoMYOkEuaRgkHT2RTliK1duxaDBg3CmjVrMHAgu1UMRb/GdrsdFosFBoO6dWu9oQGuZb/AOHwMtJiYg67/zrPPIO3dVzHGrAGJSTD/931YoqM7ZF+pc2eROifmj1TCPJIKmENSAXNIKmEeSQXMIYUaM0gqYR4pGPUnDjBFYUsUVSIiIqA6UeAzHXvCIa9//m9vQM0FFyKiYhe05BQYWOhTXrhkkTon5o9UwjySCphDUgFzSCphHkkFzCGFGjNIKmEeKRjYBIXClhgjraqqSk47m4TERBh794UhKTnUu0JdPIukPuaPVMI8kgqYQ1IBc0gqYR5JBcwhhRozSCphHikYWOyjsCV6oLXZbHJKxCxSV8VzIamEeSQVMIekAuaQVMI8kgqYQwo1ZpBUwjxSMLAbTwpbZrMZmZmZod4NImaRQornQlIJ80gqYA5JBcwhqYR5JBUwhxRqzCCphHmkYGDLPgrrX0CIwUzZso9CjVkk5o+I50NSB9+XSQXMIamEeSQVMIcUaswgqYR5pGBgsY/ClsPhQGFhoZwSMYvUVfFcSCphHkkFzCGpgDkklTCPpALmkEKNGSSVMI8UDCz2UdgymUxIS0uTUyJmkboqngtJJcwjqYA5JBUwh6QS5pFUwBxSqDGDpBLmkYKBVRIKWwaDAVFRUaHeDSJmkUKK50JSCfNIKmAOSQXMIamEeSQVMIcUaswgqYR5pC7Vsm/u3Lm46qqrcP755+PZZ5+F0+mU8202GywWCzRNa/M3Z84c/2137NiBU089FbGxsRg9ejRWr17dZtstLS24/vrrkZycjB49euC9997r8OOjo+dyuVBTUyOnRKHELBLzR8TzIamD78ukAuaQVMI8kgqYQwo1ZpBUwjxSlyn2vf3225g2bZqscGdmZuLOO+/EFVdcIZeJwp0YwPKXX37BkiVL/H9jxozxFwOnTp2K0tJSvPvuuzj++OPl9draWv/2r7nmGrzzzjt44okncO+998ptL1q0KGTHS0fG7XajsbFRTolCiVkk5o+I50NSB9+XSQXMIamEeSQVMIcUaswgqYR5pGDQdFE5U4hodZebm4u//vWvmDVrlpz3+uuv4/LLL0d1dbUs0v3rX//C2rVr93n7F198Eb/73e+wbds25OTkyHnHHnsszjjjDNxxxx3YuHEj+vfvL7dz7rnnyuWi4Ld06VLMnj37sPZV7MOgQYOwZs0aDBw48KiPnYiIiIiIiIiIiIiIiLq2tYdZf1KuZV9zczMefvhhXHbZZf55omgnqt0Oh0MW5UaOHLnf23/33XeYPHmyv9AnzJw509/Np+geNDIyEmeeeWab5fPmzTtgd5C7du2SD27g35YtW+QysV8+drvd39JMbC9wmbjsuw+xjlj3QMt8dVixzNeN6Z7LxHzfMjHvYMt8+ybm+/Ztz2V77jePic8Ts8fXE88RPJfz/Ynvufwcwc9G/AzLz+X8vwb//8T/5/L/7vw+gt+x8Hsjfr/H7yz5PSy/W+b35axrODvs+/LDoVyxLzExEddeey2MRqO/W84nn3wSEydOlGPsLVu2THbbmZWVhaioKEyZMkVe9ykpKcGQIUPabFOMy7d582b/8n79+sFsNrdZLoqMYtn+iHEDRRU18E8UCYWqqir/ejt37kRTU5O8LLqYLCsr8y8Tl8U8Qawj1g0sJtbX1/tbN4puSH1BqKioQF1dnbwsnmixzFcYrKyslC0eBREIscwXDDFfLBfE+mKZ74Uotie2K4j7EcvE/QpiP8T+qH5MYpuiW1ff/XeGY+qMz1NXOCYxf/369f4TeGc4ps74PHXWYxL7U1BQIN8vO8sxdcbnqasck1i+adMmeb2zHFNnfJ46+zGJdcV5saioqNMcU2d8njr7MYlhJEQOxRjjneWYOuPz1FWOSWxL/CJc5LGzHFNnfJ46+zGJ7Yrv5sT7c2c5ps74PHXmYxLZE+/N4n46yzF1xuepqxyTuM+tW7eisLCw0xxTZ3yeVDimsO7GM9CDDz6If//734iIiMD3338vi31xcXEYN24cbrrpJphMJjz66KPyS3bRbWdSUhJGjBghi3B//vOf/dsRrfpESz7xBN12221YsWKFbAHoIyqnovj366+/ytvvi3iCd+/e3WaeaNkn7mv58uUYNmyYnCeeILFfYrxB8aSJCqyvsCieWDFfFDLFfHG/Fotlv8vE7TRNk8vEVGx3z2W+arBYJp5Kse6Blvn2TSwT88S6ey7bc79VPSaxL+KFEBsbK693hmPqjM9TVzgmsZ/iTUGcn3z3Ee7H1Bmfp856TL5fEYlW62JfO8MxdcbnqasckyA+b4nPblartVMcU2d8njr7MYl9Ee/LYr7Yz85wTJ3xeersxyTmi/+g+86FneGYOuPz1FWOSUxFATomJsZ/PdyPqTM+T539mMT9NTQ0yOMRnxU7wzF1xuepMx+TWFdsWzQeEet2hmPqjM9TVzmmwHOi+LzYGY6pMz5PxhAfk6h7HU43nkoX+7744gu88cYbeP/99/HII4/glltukYU60XLP98CLX6Z169ZNLr/xxhsxfvx4nH766fjjH//o344o7E2dOlU+aGK+KOp98803/uW+L0fnz58vWxAeKo7ZR0RERERERERERERERO0p7MfsC3Taaafhrbfewt/+9jfceeedsimlGK/PV+gTEhISMGDAAFkEFNLS0lBcXNxmO6J5ZHR09AGXC751KDz4Wvb5mskSMYvUFfFcSCphHkkFzCGpgDkklTCPpALmkEKNGSSVMI8UDMoV+0QTRdF/cqAZM2bI5ouLFi3CDz/8sNdtRLHO14fp0KFDsWDBgjbLly5dKsf48y0XfYQH9t0qlgu+dSg8+LoiEVMiZpG6Kp4LSSXMI6mAOSQVMIekEuaRVMAcUqgxg6QS5pG6RLHv559/Rt++fdsM2CuKc0J5eTmmTZvmH6xQ+Omnn+TYeWPHjpXXzz77bKxevVp2ASqIYtCrr76KE088UV4X3XSKsf8ef/xxeV0UEZ9++mnZHDI9Pb1Dj5WOjujDNjc319/PLlGoMIsUSswfqYR5JBUwh6QC5pBUwjySCphDCjVmkFTCPFIwmKAYUYwbPHgwTj31VDz88MNy8MJbb70VZ5xxBq699lo899xzctlVV12F6upq/P3vf0ePHj1w+eWXy9uL21555ZU455xzcOaZZ+KXX35BU1MT7rjjDv8LSdzmsssukwMcijH/REvADz/8MMRHTkRERERERERERERERBTmLfsMBgM+/fRTWbSbNWsWrr/+ekyfPl2O3ScKdbNnz5bj7okC4JNPPikLegsXLkRsbKx/Gy+++CIeeughbNy4Ef3795etBbt16+Zffskll+Czzz5DfX29vP7xxx/L7VB4EV2+ihagYkrELFJXxXMhqYR5JBUwh6QC5pBUwjySCphDCjVmkFTCPFIwaLrox5KOyNq1a2X3n2vWrMHAgQP5KIZgINPGxkZER0fDaDTy8aeQYRYplJg/UgnzSCpgDkkFzCGphHkkFTCHFGrMIKmEeaRg1J+U68aT6FCJAl9cXBwfMAo5ZpGYPyKeD0kdfF8mFTCHpBLmkVTAHFKoMYOkEuaRukQ3nkSHyu12o6GhQU6JQolZJOaPiOdDUgffl0kFzCGphHkkFTCHFGrMIKmEeaRgYLGPwpbT6URlZaWcEjGL1FXxXEgqYR5JBcwhqYA5JJUwj6QC5pBCjRkklTCPFAwcs+8ocMw+IiIiIiIiIiIiIiIiCmX9iS37iIiIiIiIiIiIiIiIiMKUKdQ7EM5sNpucbtmyJdS70iU5HA5UVVUhKSkJZrM51LtDXRizSMwfEc+HpA6+L5MKmENSCfNIKmAOKdSYQVIJ80iHwld38tWhDobFvqNQVFQkpzNnzjyazRARERERERERERERERHtVYcaPnw4DoZj9h2Fmpoa/PDDD8jNzYXVaj2aTdERVrZFofXjjz9Gr169+BhSyDCLFErMH6mEeSQVMIekAuaQVMI8kgqYQwo1ZpBUwjzSoRAt+kShb/LkyUhISDjo+mzZdxTEAzxjxoyj2QS1A1HoO5QBKomCjVmkUGL+SCXMI6mAOSQVMIekEuaRVMAcUqgxg6QS5pEO5lBa9PkYDnlNIiIiIiIiIiIiIiIiIlIKi31EREREREREREREREREYYrFPiIiIiIiIiIiIiIiIqIwxWIfha3U1FTcd999ckrELFJXxXMhqYR5JBUwh6QC5pBUwjySCphDCjVmkFTCPFIwaLqu60HZMhEREREREREREREREREFFVv2EREREREREREREREREYUpFvuIiIiIiIiIiIiIiIiIwhSLfURERERERERERERERERhisU+IiIiIiIiIiIiIiIiojDFYh8RERERERERERERERFRmGKxj9pVeXk5fvOb3yA2NhaRkZGYNm0aysrK/Mvfe+899OnTB4mJibjmmmvQ0tLS5vavv/46evbsCbPZjJycHLz88sttli9evBhjxoyB1WpFQkICbrrpJjidzsPax3nz5uGYY45BXFwczj77bFRXV7dZ/sUXX2D8+PGIiIhA37595T5R+Al2FnVdxyuvvIKLLroIl112GWbPnn3Y+3iwLPpcfPHFuP/++w97+xQ6nSF/YruaprX5E1mk8NMZ8sj35s4h2FkMVFRUJPP0/fffH9Y+rly5EhMnTpT7eOKJJ8rt7Ms999yDyy+//LC2TaHXGTJ433337fX+LNan8NMZ8rho0SKcdNJJiIqKQl5eHv7xj3/IzwUUXoKdxfY4b/H9ufPqDPnje3Pn0RnyyPfmLk4naidut1ufMGGCnpOToz/55JP6E088oScmJuonnHCCXP7tt9/qBoNBv+GGG/SvvvpKHzNmjH7dddf5b//111/rmqbpF198sf7aa6/pM2bMEP9L0H/88Ue5vLS0VE9OTtbHjRunv/zyy/of/vAHuf5DDz10yPu4Zs0aPTIyUj/33HPl/U2bNk0/9dRT/cu//PJLuY9//OMf9YULF+oPPPCAvI+XXnqJOQkjwc6iINbPyMjQ77jjDv2iiy6Sy//973+3WxZ9HnvsMbnt++6776gfF+oYnSV/AwcOlOfAJUuW+P+2bdvWLo8RdZzOkEe+N3cOHZHFQFOnTpXL582bd8j7WF5erqekpOjHH3+83IfLL79cHzx4sO5wONqs99Zbb8l9ueyyy4748aCO11kyKM6R1157bZv35w0bNhzVY0MdrzPkceXKlbrVatWvvvpqfcGCBfpTTz0lr//pT3866seHOlcWj/a8xffnzquz5I/vzZ1DZ8gj35uJxT5qN+KkFh0drRcUFPjnPf/88/LEVlVVJYt0gV/ebd68WTeZTHpZWZm8LpbfeOON/uVOp1OeYG+66SZ5/e6779ZHjBih22w2/zrnn3++PnTo0EPexwsuuEAfNGiQ7nK55PWamho9JiZGX7x4sX8ffvOb37S5jThJ9+7d+wgeEeqsWRRvxhaLRV+/fr1/nVmzZsl8tlcWBVF0Fm/i3bt3Z7EvjHSG/DU1NelGo7FNHik8dYY88r25cwh2FgO98sorelxc3GF/sS0+a6ampuoNDQ3++xDvwe+9916bfRb5FD+IYLEvvHSWDGZmZra5TuGpM+RRvH+PHDmyzW3uuecePSoqSrfb7Yf1eFDnzuLRnrf4/tx5dZb88b25c+gMeeR7M7EbT2o3ontN0c1mt27d/POSk5PltK6uDr/88ovs4sunV69e6N+/P+bOnSuvv/TSS3jooYf8y41GI+Lj4+FyueT13/72t/jwww9hsVjabN+3/FB89913OP/882EweKIvtj9lyhTMmTNHdjeydOlS2Q1JoH79+mHHjh1H8IhQZ81iTEwM3nzzTZkNH9E832aztUsWfdatW4eFCxfKLnEofHSG/K1YsULe7+DBg4/ikSAVhHse+d7ceQQ7iz6lpaW49dZb8c9//vOw91FkccaMGYiOjvbfxxlnnNHmvVnsp7g+cuTIw94+hVZnyODOnTvlH/MX/jpDHn/99VfZfVgg8XmgqakJu3fvPuz7o86ZxfY4b/H9ufPqDPnje3Pn0RnyyPdmYrGP2o04gQ0YMKDNvC+//FL2ZexwOOB2uzFkyJA2y3v06IHNmzfLywMHDpTb8CkoKJDFDjF+nu/Lw8ATrtjeN998418urovx+/b1J06sYrpr16797oPoJ1l80VhZWdlm+Zo1a5Cdnd1ujxOFfxbFf2LFmFI+ov/uV199FWeeeWa7ZNHngw8+kPtM4aUz5G/ZsmVy3NKxY8fKfurFh9gnnnii3R8rCr5wzyPfmzuPYGfR57rrrsO4ceNw5ZVXtpl/sCwKJSUlB31v/ve//y2/CKDw0xkyKN6fxZc6F154oRwjLTc3F3/+85/l/lN46Qx5FFnc1/+dxThFqampR/HoUGfK4sHOW3x/7to6Q/743tx5dIY88r2ZWOyjoNmyZYscmPSWW25Bc3OznJeQkNBmHdEiYH+/+rv//vtlgU8MjLovYttbt27FTTfdJK/PmjVL/sdiX38nnHDCIe3D5MmT8a9//Qvr16+X1z/99FP873//w8yZM4/68aDOmUXxhXbfvn1xzDHH4J577mm3LAq+Vi4U3sIxf+LXbKIV9VVXXYXPP/9c3o/4Vfieg0tT+AnHPPK9uXMKRhZFK9P58+fLX9Xu6cEHH9xvFnv27CnXEfvB9+auIxwz6Ht/Fr/o/uyzz2TPJ4899pjcNoW3cMyjeH9+4403sGDBAnldtHj4v//7P0ybNk1uh8JTe2fxYOctvj9TuOeP782dVzjmke/NZOJDQMEgfo0gvuATv/gXvyLcvn27/xcGgcQv9n0nzEDffvst/vvf/+Ltt99u021nYMuB2267DVdffbX/VxfipHjzzTfvc3/Eic9qtR50H5588kn55eOgQYMQFxeHmpoaWXC5/vrrj/ixoM6dRdF1TUVFBebNmye73BRdz7VHFqlzCNf8iQ+lovsJX2tqcV4U591nn312r1+GU/gI1zzyvbnzCUYWRQtR8QMw8aOtffXIIFq37O/HW75tiDzyvblrCNcMXnvttbj44ovRu3dv//uz6DLxhRdewAMPPMAfioWpcM2j+LwoCn2TJk1CYmIiqqur5fzf/e53R/hIUGfM4sHOW3x/pnDPH9+bO6dwzSPfm4nFPgqKv/71r/IXC+LXfeIXCGlpaXJ+cXExsrKy/OuJbj98Jzkf8WuEK664Auedd54cw2dPYvwesVz8h+Lxxx/3zxdfSgd287kvojm12IdAYh98fR2Lk7hoLfjVV1/J9X7/+9/LEzG7UgxfwcyicMMNN8g/0aLlmmuukU3n2yOL1DmEa/7y8/P3us2ECRPw7rvvyg+9bHUansI1j3xv7nyCkUXxy1hxnrr00kv3eZ8ZGRny70DEfvC9uWsI1wwG7puPuM+HH35YduskuoOi8BOueRS3F+M8iy80xY/CbrzxRowYMUJ+eUnhKRhZPJTzFt+fKZzzx/fmzilc88j3ZmIfcdTuxMCkos/hf/zjHxg6dKicJ5oYiy/7fF18+Ip2or/iwJOd6INY9F0sxooSv2zYF9FKQLQaeOedd2SrgMMh9idwH4SlS5e22Qdx3+KXFOLXFeKELn4VQeEpWFlsaGiQ/6ENNH36dNnEX/Sl3V5ZpPAWrvkT+yPOsfX19Xt9gPT1F0/hJ1zz6MP35s4jWFkU49yK7tfFL1t9f4JoYXrccccd0r7xvblrCOcMii+dSktL2yz3jZnW0tJymI8EqSCc8yiYTCaceuqp8kvGxsZGPProo0f4SFBnzWJ7nLf4/tz5hXP++N7c+YRzHgW+N3dxOlE7Wrt2rZ6YmKhfcMEFey279dZb9Z49e+q1tbXy+ttvv62LCP7666/+da655ho9MjJSX758+T63/+abb+qapukvvPDCEe3fU089pSclJelFRUXy+s8//yz34f3332+zXlNTk56RkaHffPPNR3Q/1Lmz+MADD+hDhgzRHQ6Hf97dd9+t5+TktHsWhcmTJ+v33XffIW+bQi+c8+d2u/XMzEz92Wef9a9vt9v1gQMH6sOHDz+MR4FUEc55DMT35vAXzCyKeXv+idu/9NJL+ubNmw9p/z799FPdbDb7t799+3bdarXqjz/++F7rXnbZZfKPwku4Z3DMmDH6H/7whza3Ofnkk/XU1FTd5XId5qNBoRbuefQRnx2HDRumz5w587AfA+r8WWyP8xbfnzu3cM8f35s7l3DPow/fm7suFvuo3Ygvg/v376+npaXpP/zwg75kyRL/X11dnV5eXi6/QO7Tp49+8cUX6xaLRZ8+fbr/9m+88YY8SYqTZ+Bt/7+9+wvt6f/jAP7G/Gn+zYWmsEy4kohy4c8QhaYJi5IbN7uwXHAx0ZQkc0EkpOTPhaX8S8SSmjIXMispNqVQCmW4wPLvfDuntt+WjX0wfufj8ahjn885789nx+e8Omef8zzv825sbEyWP3z4MNlhxsFH++Xx1F3xicKJEydGI0eOTE7QDBkyJJo6dWqHk5SxqqqqZOf+6tUrFZJCPV2LT548ifLy8qKSkpLo2rVr0aFDh6Lc3Nxo9+7dv70WY8K+dMmG+tuxY0c0aNCg5Gd8ccWMGTOSCy0uXrzYA58YPSkb6rGVY3O69XQtdiZuX1tb2+11jL8UL1iwIPkbMK7FeH1Gjx7d9oW+PWFf+mRDDcbrkJOTk1xUceTIkai4uDj5HQcOHPjFT4c/LRvqsdWpU6eSE49NTU0/+WmQzbX4O/Zbjs/ZKxvqz7E5e2RDPbZybP53Cfv4bRoaGpKdVGdT65eKZ8+eRWvWrEmu/KuoqEhO8LWKd5CdvTYOOmJ79uzp8v0z8fr162jdunXJOpSVlX0T6DU3NycnLju7ipt06OlajN26dSuaNWtWNHDgwGj8+PE/dZLlR7XYStiXLtlQf/FVZZWVlVF+fn4S3MyePTu6evXqL382/HnZUI8xx+b0+xO1+KsntmMtLS3Rli1boilTpiRX9D59+rTTdsK+9MmWGty/f39UUFAQDRgwIJo2bVpyVTnpky31GF+YM27cuKi8vDzjz4B/pxZ/x37L8Tk7ZUv9OTZnh2ypR8fmf1uv+J+/fStRAAAAAAAAIHO9f+I1AAAAAAAAwP8BYR8AAAAAAACklLAPAAAAAAAAUkrYBwAAAAAAACkl7AMAAAAAAICUEvYBAAAAAABASgn7AAAAAAAAIKVy/vYKAAAAkD5Pnz4N79+//2G73r17hwkTJnSYd/fu3VBQUBCGDRuWPG9sbAyDBg0Ko0aN6rH1BQAAyFa9oiiK/vZKAAAAkC7z5s0LtbW1P2yXm5sb3r1712Fe3759Q3V1dSgtLU2eT548ORQVFYV9+/aF69evh5qamm/eZ9u2baF///6/8X8AAACQHdzGEwAAgIz16dMnLF++PMTXj3Y1VVRUhJyc/91Q5vPnz+Hjx49JaNc+uOvXr18YMGBAsqy+vj4cPnw45OXlJdPz58/Drl27Qq9evWwlAACATriNJwAAABlrH+L9KBRsFffYW7JkSfK4pKSkQ7vbt2+HpqamMGfOnDB06NCwadOmZP6lS5fCiRMnuv37AAAA/jV69gEAAJCx9iFed9stWrQo6b0Xh3mnT59u6wE4ffr0sHnz5mReV+8bj/0HAADAt1waCQAAQMa6e1vN9u3iIK81zKusrAx79+5NHt+/fz/Mnz8/Gcsvbh/funPmzJnJstevX9s6AAAA3yHsAwAAIGNxKPf+/fvw+PHjLtu8ffu2y1Bw+/btYcWKFcnj+NadreKefiNGjAh1dXVtt/FsvfUnAAAA3xL2AQAAkLE4xLty5UooLCz8brv8/PxO55eWlnZ43tqT7+vXr7YGAABABgx6AAAAwE+FfcuXL28bd6+zqaKiosvXtx+zr6ioqG3+58+fkx6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      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1680x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ========== 图: 三模型预测对比 ==========\n",
    "test_dates = dates[TRAIN_SIZE:TRAIN_SIZE + min_len]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(15, 6))\n",
    "ax.plot(test_dates, test_prices_aligned, label='实际价格', color='black', linewidth=1.2, alpha=0.8)\n",
    "ax.plot(test_dates, arima_preds_aligned, label=f'ARIMA (RMSE={metrics[\"ARIMA\"][\"RMSE\"]:.1f})',\n",
    "        color='#2196F3', linestyle='--', linewidth=1.0, alpha=0.8)\n",
    "ax.plot(test_dates, lstm_preds_aligned,  label=f'LSTM (RMSE={metrics[\"LSTM\"][\"RMSE\"]:.1f})',\n",
    "        color='#4CAF50', linestyle='-.', linewidth=1.0, alpha=0.8)\n",
    "ax.plot(test_dates, hybrid_preds,        label=f'ARIMA-LSTM (RMSE={metrics[\"ARIMA-LSTM\"][\"RMSE\"]:.1f})',\n",
    "        color='#F44336', linewidth=1.5)\n",
    "\n",
    "ax.set_title('S&P 500 三种模型预测结果对比 (测试集)', fontsize=14)\n",
    "ax.set_xlabel('日期')\n",
    "ax.set_ylabel('收盘价')\n",
    "ax.legend(fontsize=11)\n",
    "ax.grid(True, linestyle=':', alpha=0.4)\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig6_model_comparison.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "# ========== 图: 局部放大 (最后120个交易日) ==========\n",
    "tail = 120\n",
    "fig, ax = plt.subplots(figsize=(14, 5))\n",
    "ax.plot(test_dates[-tail:], test_prices_aligned[-tail:], label='实际价格', color='black', linewidth=1.5)\n",
    "ax.plot(test_dates[-tail:], arima_preds_aligned[-tail:], label='ARIMA', color='#2196F3', linestyle='--')\n",
    "ax.plot(test_dates[-tail:], lstm_preds_aligned[-tail:],  label='LSTM', color='#4CAF50', linestyle='-.')\n",
    "ax.plot(test_dates[-tail:], hybrid_preds[-tail:],        label='ARIMA-LSTM', color='#F44336', linewidth=1.8)\n",
    "ax.set_title(f'预测局部放大 (最后{tail}个交易日)', fontsize=13)\n",
    "ax.set_xlabel('日期')\n",
    "ax.set_ylabel('收盘价')\n",
    "ax.legend()\n",
    "ax.grid(True, linestyle=':', alpha=0.4)\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig7_zoom_comparison.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "beb9a744",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "全部运行完毕！\n"
     ]
    }
   ],
   "source": [
    "# ========== 图: 混合模型性能提升分析 ==========\n",
    "def pct_improve(base, hybrid, higher_better=False):\n",
    "    if higher_better:\n",
    "        return (hybrid - base) / abs(base) * 100 if base != 0 else 0\n",
    "    else:\n",
    "        return (base - hybrid) / abs(base) * 100 if base != 0 else 0\n",
    "\n",
    "labels = ['RMSE\\n降低', 'MAE\\n降低', 'MAPE\\n降低', 'R²\\n提升']\n",
    "vs_arima = [\n",
    "    pct_improve(metrics['ARIMA']['RMSE'],  metrics['ARIMA-LSTM']['RMSE']),\n",
    "    pct_improve(metrics['ARIMA']['MAE'],   metrics['ARIMA-LSTM']['MAE']),\n",
    "    pct_improve(metrics['ARIMA']['MAPE'],  metrics['ARIMA-LSTM']['MAPE']),\n",
    "    pct_improve(metrics['ARIMA']['R2'],    metrics['ARIMA-LSTM']['R2'], higher_better=True),\n",
    "]\n",
    "vs_lstm = [\n",
    "    pct_improve(metrics['LSTM']['RMSE'],   metrics['ARIMA-LSTM']['RMSE']),\n",
    "    pct_improve(metrics['LSTM']['MAE'],    metrics['ARIMA-LSTM']['MAE']),\n",
    "    pct_improve(metrics['LSTM']['MAPE'],   metrics['ARIMA-LSTM']['MAPE']),\n",
    "    pct_improve(metrics['LSTM']['R2'],     metrics['ARIMA-LSTM']['R2'], higher_better=True),\n",
    "]\n",
    "\n",
    "x = np.arange(len(labels))\n",
    "width = 0.32\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "fig.patch.set_facecolor('#FAFAFA')\n",
    "ax.set_facecolor('#FFFFFF')\n",
    "\n",
    "bars1 = ax.bar(x - width/2, vs_arima, width, label='混合 vs ARIMA', color='#3498db', alpha=0.85, edgecolor='black')\n",
    "bars2 = ax.bar(x + width/2, vs_lstm,  width, label='混合 vs LSTM',  color='#e74c3c', alpha=0.85, edgecolor='black')\n",
    "\n",
    "ax.set_ylabel('提升幅度 (%)', fontsize=12, fontweight='bold')\n",
    "ax.set_title('ARIMA-LSTM 混合模型性能提升分析', fontsize=14, fontweight='bold')\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(labels, fontsize=11)\n",
    "ax.axhline(0, color='black', linewidth=0.8)\n",
    "ax.legend(fontsize=12, loc='upper right')\n",
    "ax.grid(axis='y', alpha=0.3, linestyle='--')\n",
    "\n",
    "for bars in [bars1, bars2]:\n",
    "    for bar in bars:\n",
    "        h = bar.get_height()\n",
    "        ax.text(bar.get_x() + bar.get_width()/2., h,\n",
    "                f'{h:.1f}%', ha='center',\n",
    "                va='bottom' if h >= 0 else 'top',\n",
    "                fontsize=10, fontweight='bold')\n",
    "\n",
    "# 指标文本框\n",
    "h_m = metrics['ARIMA-LSTM']\n",
    "a_m = metrics['ARIMA']\n",
    "l_m = metrics['LSTM']\n",
    "txt = (f\"ARIMA-LSTM:  RMSE={h_m['RMSE']:.2f}  MAE={h_m['MAE']:.2f}  MAPE={h_m['MAPE']:.2f}%  R²={h_m['R2']:.4f}\\n\"\n",
    "       f\"ARIMA:       RMSE={a_m['RMSE']:.2f}  MAE={a_m['MAE']:.2f}  MAPE={a_m['MAPE']:.2f}%  R²={a_m['R2']:.4f}\\n\"\n",
    "       f\"LSTM:        RMSE={l_m['RMSE']:.2f}  MAE={l_m['MAE']:.2f}  MAPE={l_m['MAPE']:.2f}%  R²={l_m['R2']:.4f}\")\n",
    "props = dict(boxstyle='round', facecolor='#ffffcc', alpha=0.9, edgecolor='#666')\n",
    "ax.text(0.02, 0.98, txt, transform=ax.transAxes, fontsize=9,\n",
    "        verticalalignment='top', bbox=props, family='monospace')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig8_improvement_analysis.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "print(\"\\n全部运行完毕！\")"
   ]
  }
 ],
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   "language": "python",
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    "version": 3
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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