{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### 使用单个脚本进行操作,速度提高一个数量级" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "\"\"\"\n", "Author: Jason Jiang\n", "Date: 2024.01.30\n", "用于处理单个文件夹内的加速度数据,然后保存为HDF5文件,后续再合并所有文件夹的HDF5文件\n", "\n", "\"\"\"\n", "import h5py\n", "import numpy as np\n", "import os\n", "import re # 引入正则表达式库\n", "import sys\n", "\n", "def extract_floor_response(folder_path:str, \n", " start_gms_number:int = 0,\n", " number_of_gm:int=250) -> np.ndarray:\n", " \"\"\"\n", " 读取所有 results 文件中包含 Acc_Roof 的文件,并存为一个大数组。\n", " \n", " \"\"\"\n", " # 初始化一个大型的 NumPy 数组,假设每个地震动数据有3000个时间点\n", " Acc_Floor_Response = np.empty((57, number_of_gm, 3000))\n", "\n", " for file_name in os.listdir(folder_path):\n", " if all(keyword in file_name for keyword in ['Blg', 'RoofAcc']) and file_name.endswith('.txt'):\n", " # 使用正则表达式从文件名中提取数字\n", " numbers = re.findall(r'\\d+', file_name)\n", " # print(f\"number: {numbers}\")\n", " blg_number = int(numbers[0]) -1 # 第一个数字是楼宇号\n", " gms_number = int(numbers[1]) - start_gms_number -1 # 第二个数字是地震动号\n", "\n", " # 读取文件\n", " file_path = os.path.join(folder_path, file_name)\n", " data = np.loadtxt(file_path, skiprows=1, usecols=1) # 只读取第二列\n", "\n", " # 如果数据长度小于3000,补充0到长度为3000\n", " if data.shape[0] < 3000:\n", " data = np.pad(data, (0, 3000 - data.shape[0]), 'constant')\n", " \n", " Acc_Floor_Response[blg_number, gms_number, :] = data\n", " \n", " Acc_Floor_Response = np.transpose(Acc_Floor_Response, (1, 0, 2))\n", " Acc_Floor_Response = Acc_Floor_Response.reshape(57*number_of_gm, 3000)\n", " print(f\"Acc_Blg_GMs.shape = {Acc_Floor_Response.shape}\")\n", "\n", " return Acc_Floor_Response # (14250, 3000)\n", "\n", "def extract_damage_state(folder_path:str,\n", " start_gms_number:int = 0,\n", " number_of_gm:int=250) -> np.ndarray:\n", " \"\"\"\n", " 读取所有 results 文件中损伤等级的数据,并存为一个大数组。\n", " \n", " \"\"\"\n", " # 初始化numpy数组\n", " damage_states = np.zeros((57, number_of_gm, 1))\n", " file_path = os.path.join(folder_path, 'DamageState.txt')\n", " # 读取txt文件并处理数据\n", " with open(file_path, 'r') as file:\n", " next(file) # 跳过标题行\n", " for line in file:\n", " data = line.strip().split()\n", " building_index = int(data[0]) - 1\n", " earthquake_index = int(data[1].split('_')[1]) - start_gms_number - 1\n", " damage_state = max(map(int, data[2:8]))\n", " damage_states[building_index, earthquake_index, 0] = damage_state\n", "\n", " damage_states = np.transpose(damage_states, (1, 0, 2))\n", " damage_states = damage_states.reshape(57*number_of_gm, 1)\n", " print(f\"damage_states.shape = {damage_states.shape}\")\n", "\n", " return damage_states # (14250, 1)\n", "\n", "def save_2_hdf5(file_name:str,\n", " dataset_name:str,\n", " array:np.ndarray) -> None:\n", " \"\"\"存放数据到 HDF5 文件中。\n", "\n", " Args:\n", " file_name: 文件名\n", " dataset_name: 数据集名称\n", " array: 数据集\n", " \n", " \"\"\"\n", " # 创建一个新的 HDF5 文件\n", " with h5py.File(file_name, 'a') as f:\n", " # 将数据存储为数据集\n", " f.create_dataset(dataset_name, data=array)\n", "\n", "\n", "# if __name__ == \"__main__\":\n", "# main()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def delete_file(file_path:str) -> None:\n", " \"\"\"\n", " 先删除本来的 h5 文件\n", " \"\"\"\n", " if os.path.exists(file_path):\n", " os.remove(file_path)\n", " print(f\"Delete file: {file_path}\")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "\n", "def save_h5():\n", " # 确定当前工作目录是脚本所在的目录\n", " # current_folder = os.path.dirname(os.path.abspath(__file__))\n", " current_folder = os.getcwd()\n", " os.chdir(current_folder)\n", "\n", " # 处理当前文件夹中的数据\n", " folder_name = os.path.basename(current_folder)\n", "\n", "\n", " # 首先删除本来的 h5 文件\n", " delete_file(os.path.join(f\"{folder_name}.h5\"))\n", "\n", " \n", " match = re.match(r'^(\\d+)-(\\d+)$', folder_name)\n", " if not match:\n", " sys.exit(f\"Folder name '{folder_name}' does not match the expected format.\")\n", "\n", " start_num = int(match.group(1))\n", " end_num = int(match.group(2))\n", " start_gms_number = start_num - 1\n", " number_of_gm = end_num - start_num + 1\n", "\n", " results_folder_path = os.path.join(current_folder, 'Results')\n", " if not os.path.exists(results_folder_path):\n", " sys.exit(f\"The results folder does not exist: {results_folder_path}\")\n", "\n", " # 提取数据\n", " print(f\"Processing folder: {folder_name}\")\n", " Acc_Floor_Response = extract_floor_response(results_folder_path, start_gms_number, number_of_gm)\n", " DS_Blg = extract_damage_state(results_folder_path, start_gms_number, number_of_gm)\n", "\n", " # 存储数据到 HDF5 文件中\n", " hdf5_filename = os.path.join(current_folder, f\"{folder_name}.h5\")\n", " save_2_hdf5(hdf5_filename, 'Acc_Floor_Response', Acc_Floor_Response)\n", " save_2_hdf5(hdf5_filename, 'DS_Blg', DS_Blg)\n", " print(f\"Data saved to {hdf5_filename}\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Delete file: 1-250.h5\n", "Processing folder: 1-250\n", "Acc_Blg_GMs.shape = (14250, 3000)\n", "damage_states.shape = (14250, 1)\n", "Data saved to j:\\SesimicTransformerData\\MDOF\\knet-250\\1-250\\1-250.h5\n" ] } ], "source": [ "save_h5()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 读取 hdf5 文件看看" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "import h5py\n", "import os\n", "\n", "def read_h5():\n", " current_folder = os.getcwd()\n", " # os.chdir(current_folder)\n", "\n", " # 处理当前文件夹中的数据\n", " # folder_name = os.path.basename(current_folder)\n", "\n", " file_path = os.getcwd()\n", " file_name = os.path.join(f'combined_data.h5')\n", " file_path_name = os.path.join(file_path, file_name)\n", " print(f\"Reading file: {file_path_name}\")\n", "\n", "\n", " with h5py.File(file_path_name, 'r') as f:\n", " acc_floor_response = f[\"Acc_Floor_Response\"][:]\n", " ds_blg = f[\"Blg_Damage_State\"][:]\n", "\n", " return acc_floor_response, ds_blg" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reading file: j:\\SesimicTransformerData\\MDOF\\knet-250\\combined_data.h5\n" ] } ], "source": [ "acc_floor_response, ds_blg = read_h5()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((198018, 3000), (198018, 1))" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "acc_floor_response.shape, ds_blg.shape" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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bb2D27NkArLXkxo8f7zG42tK1xWMiIiI60wmS2mqxREREREREREREZyDWQCMiIiIiIiIiIvKCATQiIiIiIiIiIiIvGEAjIiIiIiIiIiLyggE0IiIiIiIiIiIiLxhAIyIiIiIiIiIi8oIBNCIiIiIiIiIiIi9CmnsAp5Moijh+/DhiYmIgCEJzD4eIiIiIiIiIiJqJJEmorq5Gly5dYDB4zzE7owJox48fR/fu3Zt7GERERERERERE1EIcOXIE3bp187rMGRVAi4mJAWA9MbGxsc08Gn2YTCb89NNPGD9+PEJDQ5t7OESa8Pql1ozXL7VmvH6pNeP1S60dr2Fqzdra9VtVVYXu3bvb40XenFEBNHnaZmxsbJsKoEVFRSE2NrZNXLx0ZuH1S60Zr19qzXj9UmvG65daO17D1Jq11etXTZkvNhEgIiIiIiIiIiLyggE0IiIiIiIiIiIiLxhAIyIiIiIiIiIi8uKMqoFGRERERERERG2TJEkwm82wWCzNPZQ2y2QyISQkBPX19a3mPIeGhsJoNAa8HQbQiIiIiIiIiKhVa2xsRGFhIWpra5t7KG2aJElISkrCkSNHVBXebwkEQUC3bt3Qrl27gLbDABoRERERERERtVqiKCI/Px9GoxFdunRBWFhYqwnutDaiKOLUqVNo164dDIaWXxVMkiScPHkSR48eRZ8+fQLKRGMAjYiIiIiIiIharcbGRoiiiO7duyMqKqq5h9OmiaKIxsZGREREtIoAGgB07NgRBQUFMJlMAQXQWsfREhERERERERF50VoCOnR66ZWNyKuLiIiIiIiIiIjIC07hJCIiIiIAQKNZxOebCnCorBY9E6Jw24heCAvh961EREREDKAREREREeZk5GL++nyIUtNjz6/Yg7sv7oWnJ/ZvvoERERGdJhZRQlZ+GYqr69EpJgLDUxJgNLTtZgSXXnopBg8ejDfffLNZ9j9r1ix899132L59e7PsXwt+pUhERER0hpuTkYv31zkGzwBAAjB/fQHu+WxLs4yLiIjodMnMKcSol9dgyvzNeGTxdkyZvxmjXl6DzJzC07L/TZs2wWg0YuLEiadlf81BEAR89913Do898cQT+Pnnn5tnQBoxgEZERER0Bms0i5i/Pt/rMqtyi7F8x/HTNCIiIqLTKzOnEPcvzEZhZb3D40WV9bh/YfZpCaJ99NFH+Pvf/45169bh+PHW8zfXYrFAFEW/12/Xrh0SExN1HFHwMIBGREREdAb7fFOBS+aZO08v3QWLmgWJiIhaAEmSUNto9vmvut6Emct2w91fOPmxWctyUV1vUrU9SdL+t/LUqVP46quvcP/992PixIn45JNPHJ5fvnw5zj//fERERKBDhw649tpr7c81NDRg+vTp6N69O8LDw3H22Wfjo48+sj+fk5ODK6+8Eu3atUPnzp1x2223oaSkxONYGhoa8MQTT6Br166Ijo7GBRdcgF9++cX+/CeffIKePXti2bJlSE1NRXh4OA4fPowtW7Zg3Lhx6NChA+Li4jB69GhkZ2fb1+vVqxcA4Nprr4UgCPafZ82ahcGDB9uXE0UR//73v9GtWzeEh4dj8ODByMzMtD9fUFAAQRCwZMkSXHbZZYiKisKgQYOwadMmDWfcP6yBRkRERHQGKyitUbVcVb0ZWfllGNG7dXxLTEREZ7Y6kwWpz/4Y8HYkAEVV9Rgw6ydVy+f++wpEhWkLtXz99dc455xz0K9fP0ydOhWPPvooZsyYAUEQsGLFClx77bV4+umn8dlnn6GxsREZGRn2dW+//XZs2rQJ//3vfzFo0CDk5+fbA2QVFRUYM2YM7r77brzxxhuoq6vD9OnTceONN2LNmjVux/LQQw8hNzcXixcvRpcuXbB06VKkp6dj165d6NOnDwCgrq4Or7zyCj788EMkJiaiU6dOOHjwIO644w68/fbbkCQJr732GiZMmID9+/cjJiYGW7ZsQadOnbBgwQKkp6fDaDS63f9bb72F1157De+//z6GDBmCjz/+GJMmTcLu3bvt+weAp59+Gq+++ir69OmDp59+GlOmTMGBAwcQEhK8MBcDaERERESkSnF1ve+FiIiISJOPPvoIU6dOBQCkp6ejsrISv/76Ky699FK88MILuPnmmzF79mz78oMGDQIA7Nu3D19//TVWrVqFsWPHAgDOOuss+3Jz587FkCFD8OKLL9of+/jjj9G9e3fs27cPffv2dRjH4cOHsWDBAhw+fBhdunQBYK1RlpmZiQULFti3YzKZ7NuWjRkzxmFbH3zwAeLj4/Hrr7/iqquuQseOHQEA8fHxSEpK8nguXn31VUyfPh0333wzAODll1/G2rVr8eabb+Kdd96xL/fEE0/Y68XNnj0b/fv3x4EDB3DOOed4PtEBYgCNiIiI6Aw2uHt7fL75sKplO8VEBHk0RERE+ogMNSL331f4XC4rvwx/XeC7Wc4nd56P4SkJqvarxd69e5GVlYWlS5cCAEJCQnDTTTfho48+wqWXXort27fjnnvucbvu9u3bYTQaMXr0aLfP79ixA2vXrkW7du1cnsvLy3MJoO3atQsWi8Xl8YaGBoc6ZWFhYRg4cKDDMidOnMAzzzyDX375BcXFxbBYLKitrcXhw+o+YwBAVVUVjh8/jpEjRzo8PnLkSOzYscPhMeX+k5OTAQDFxcUMoBERERFRcHSJj1S1XGJ0mKobByIiopZAEARVUykv7tMRyXERKKqsd1sHTQCQFBeBi/t0hNEg6D7Ojz76CGaz2Z7xBVjrt4WHh2Pu3LmIjPT8d9rbc4C1ttrVV1+Nl19+2eU5OejkvLzRaMTWrVtdplgqg3AREREQBMdzcccdd6C0tBRvvfUWevbsifDwcIwYMQKNjY1ex+iv0NBQ+//LYwmkmYEabCJAREREdAYbnpKA5DjfmWXP/SUtKDcOREREzcloEDDz6lQA1mCZkvzzzKtTg/I30Gw247PPPsNrr72G7du32//t2LEDXbp0wZdffomBAwfi559/drv+gAEDIIoifv31V7fPDx06FLt370avXr1w9tlnO/yLjo52WX7IkCGwWCwoLi52Wd7btEsA2LhxIx5++GFMmDAB/fv3R3h4uEuzgtDQUFgsFo/biI2NRZcuXbBx40aXbaempnrd/+nAABoRERHRGUy+cfB2W/C3S1IwYaDrN9VERERtQXpaMuZNHYokpy+UkuIiMG/qUKSnBedv4A8//IDy8nL83//9H9LS0hz+XX/99fjoo48wc+ZMfPnll5g5cyb27NmDXbt22TPKevXqhTvuuAN33XUXvvvuO+Tn5+OXX37B119/DQB48MEHUVZWhilTpmDLli3Iy8vDjz/+iDvvvNNtIKtv37649dZbcfvtt2PJkiXIz89HVlYW5syZgxUrVng9lj59+uDzzz/Hnj178Pvvv+PWW291yZDr1asXfv75ZxQVFaG8vNztdv7xj3/g5ZdfxldffYW9e/fiySefxPbt2/HII4/4c4p1xQAaERERESEuKtTt4/FRoRjSo/1pHg0REdHplZ6WjA3Tx+DLey7EWzcPxpf3XIgN08cELXgGWKdvjh07FnFxcS7PXX/99fjjjz+QkJCA//3vf1i2bBkGDx6MMWPGICsry77cvHnzMHnyZDzwwAM455xzcM8996CmxtphW87mslgsGD9+PAYMGIBHH30U8fHxMBjch4MWLFiA22+/HY8//jj69euHa665Blu2bEGPHj18Hkt5eTmGDh2K2267DQ8//DA6derksMxrr72GVatWoXv37g4NCJQefvhhTJs2DY8//jgGDBiAzMxMLFu2zKEDZ3MRJElyN823RTp27BimT5+OlStXora2FmeffTYWLFiA8847T9X6VVVViIuLQ2VlJWJjY4M82tPDZDIhIyMDEyZMcJgDTNQa8Pql1ozXL7Vmyuv3570luH9httu6LzIBCOo38ERa8P2XWjtew/qrr69Hfn4+UlJSEBHBhjfBJIoiqqqqEBsb6zEI19J4uz60xIlax9ECKC8vx8iRIxEaGoqVK1ciNzcXr732Gtq35zeiRERERP6wiBJmL8/1GjyTzV6eC4vYar53JSIiItJVq+nC+fLLL6N79+5YsGCB/bGUlJRmHBERERFR6/bHoXIUVtb7XE4CUFhZj6z8MozonehzeSIiIqK2ptUE0JYtW4YrrrgCN9xwA3799Vd07doVDzzwAO655x6P6zQ0NKChocH+c1VVFQBryqzJZAr6mE8H+TjayvHQmYXXL7VmvH6pNZOv28KKWk3rFVbUwGRqG2UwqPXi+y+1dryG9WcymSBJEkRRhCiKzT2cNk2uAiaf79ZAFEVIkgSTyQSj0ejwnJbfw1ZTA02epzpt2jTccMMN2LJlCx555BG89957uOOOO9yuM2vWLMyePdvl8S+++AJRUVFBHS8RERFRS7e/UsDcXKPvBW0eSrWgT1yr+OhIRERnkJCQECQlJaF79+4ICwtr7uFQC9PY2IgjR46gqKgIZrPZ4bna2lrccsstqmqgtZoAWlhYGM477zz89ttv9scefvhhbNmyBZs2bXK7jrsMtO7du6OkpKRNNRFYtWoVxo0bxwKU1Orw+qXWjNcvtWby9Tvm8rEY999NKKpq8Lq8ACApLhxrp10Co0E4PYMk8oDvv9Ta8RrWX0NDAw4fPoyePXsiMjKyuYfTpkmShOrqasTExEAQWsdngrq6Ohw6dAg9evRAeHi4w3NVVVXo0KGDqgBaq5nCmZycjNTUVIfHzj33XHz77bce1wkPD3c5OQAQGhra5t6o2uIx0ZmD1y+1Zrx+qTWLCA/DrEn9fXbhBICZV/dHRHjr+lbfIkrIyi9DcXU9OsVEYHhKAgOAbQjff6m14zWsH4PBAEEQUF9fj+jo6OYeTpsmT9sUBKHVdOE0m80QBAHh4eEuv3NafgdbTQBt5MiR2Lt3r8Nj+/btQ8+ePZtpREREREStX3paMuZNHYrZy3PdNhRIjovAzKtTkZ6W3Ayj819mTqHLMbXWYyEiIu+MRiPi4+NRXFwMAIiKimo12VGtjSiKaGxsRH19fasIoImiiJMnTyIqKgohIYGFwFpNAO2xxx7DRRddhBdffBE33ngjsrKy8MEHH+CDDz5o7qERERERtWrpackYl5qEfs+shFlsykWbO2UIrhyQ3OqytjJzCt1m1RVW1uP+hdmYN3Uog2hERG1MUlISANiDaBQckiShrq4OkZGRrSZIaTAY0KNHj4DH22oCaOeffz6WLl2KGTNm4N///jdSUlLw5ptv4tZbb23uoRERERG1ekaDANGpNO6AbnGtLnhmESXMXp7rcUqqBGD28lyMS01qdcdGRESeCYKA5ORkdOrUiR1Og8hkMmHdunW45JJLWs0U5LCwMF2y5VpNAA0ArrrqKlx11VXNPQwiIiKiNsciShCdok4mS+toT6+UlV/mdiqqUmFlPbLyyzCid+JpGhUREZ0uRqMRRqP6DtOkjdFohNlsRkRERKsJoOml5U9YJSIiIqKgUwbLosKsNx4N5tYXQCuqrNN1OSIiIiKAATQiIiIiAhxqn0WFWScpmCy+enO2PGU1jbouR0RERAQwgEZERETU4llECZvySvH99mPYlFcKi/NcSx2YFNlmcmmw7YfLg7KvYGofFabrckRERERAK6uBRkRERHSmycwpxOzluQ51vRKiQ/H8X9IwYWAX3fZjEpsCaMXVDQCAWctz8f66g5h5dWqr6VpZXqsus+y3vBJcN6xbkEdDREREbQUz0IiIiIhaqMycQty/MNulKH5ZjQkPfLENczJyddvXj7tPuH28qLIe9y/MRmZOoW77CqaEaHWZZav3FLe67DoiIiJqPgygEREREbVAFlHC7OW58BbieX9dPjJ2Bh7Yyth5HDO/z3H7nLz/2ctzW0XAKSkuUtVyFXUmZOWXBXk0RERE1FYwgEZERETUAmXll7lknrnzr+9zAgpsZeYU4oEvtsHbJiQAhZX1rSLgNDwlAXER6qqUsBMnERERqcUAGhEREVELVFTlO3gGAKU1jX4HtuQsN7WKq9WNqTkZDQLGpXZWtSw7cRIREZFaDKARERERtUBlpxpUL+tvYOuPQ+WqstxknWIi/NrP6TayT0dVyyW0Cw/ySIiIiKitYACNiIiIqAVSWwwf8D+wJXfbVCM5LgLDUxL82s/plhSr7nyoXY6IiIiIATQiIiKiFkhtMfx24SF+B7Y6xajPwJp5dSqMBsGv/Zxuw1MSfAbHWlNAkIiIiJqfugqrRERERKdJo1nE55sKcKisFj0TonDbiF4ICznzvvMrr1GXHRZq9D+odV7P9kiOi0BRZb3Hbp8GAZg7ZSjS05L93s/ptiq3CPVmi9dlWlNAkIiIiJofA2hERETUYszJyMX89fkOHSFfyNiDey5OwYwJqc03sNPMIkp4bsUeVcuW15qQlV+GEb0TNe/HaBAw8+pU3L8w2+Myc6cMwYSBrSd4lplTiPsXZnsMCBIRERH548z7OpeIiIhapDkZuXh/nWPwDABECXh/XT7mZKjvFtnaZeWXaSruH0h3zPS0ZMybOhTto0Jdnrt2SFdMGNjF722fbnJXUV/BMwHA7OW5sDhfbEREREQeMIBGREREza7RLGL++nyvy8xfn49Gs3iaRtS8tAbEAu2OmZ6WjH9PSgMA9O4Yjcv6drT/f2uiNvAoASisrEdWflnwB0VERERtAgNoRERE1Ow+31TgknnmTJSsy50JtATE9CqGL9rytpLiIpDc3trAwNzKMrS0Bh4DydwjIiKiMwsDaERERNTs1u8/qWq5Q2W1QR5JyzCsZ3uoqW8vQL9i+HJ2X6jRgFDb9syW1hVA05qJF2jmHhEREZ05GEAjIiKiZmURJWw9XK5q2Z4JUUEeTcuw9VC5z4w8AHh0bF/dumPK2WYhBgNCjNaPiCaxdU2ZHZ6SgOQ430ExAfpl7hEREdGZgQE0IiIialZZ+WWorrf4XE4AcNuIXkEdi0WUsCmvFN9vP4ZNeaXNVmRe7dTCXh30CyiaLdZgWViIgBBbBpqllWWgyV1F1eTj6ZW5R0RERGeGkOYeABEREZ3Z1AaLwkIMQQ14ZOYUYtayXBRVNY0nKTYCsyal6pblpZbaqYUFJfpNaW20KDPQbFM4W1kNNKCpq+js5bluGwokx0Vg5tWn/zUlIiKi1o0ZaERERNSs1AaLGsxi0LomZuYU4r6F2Q7BMwAoqqrHfQuzkZlTGJT9elKqMqj45up9uozNIkrIK64GAFTUNsIgyAG04E3hDGa2X3paMjZMH4MRvRMBANFhRgDAJX06YMP0MQyeERERkWbMQCMiIqJmNTwlAfGRoaioM/lcNhhdEy2ihCeX7PK6zIwluzAuNem0TPmziBKeXb5b1bISgNnLcwMaW2ZOoUO21rr9Jcg+XAEgeE0EnPcJ6J8ZZjQIiI8MBQB0jAlHTWkt2keHcdomERER+YUZaERERNSsjAYBF/dJVLVsMLombj5Yiopa78G78loTNh8s1X3f7mTll6GsxncwUVZYWe93Zt6Pu0/g/oXZLlMdTzWYAeg7RVSWmVPodp9FlfW4X+dsP5MtABgRarT93LqaIhAREVHLwQAaERERNSuLKGFLge8unMHqmrgpT11gTJ5mGOwmA/5k2fmzjigBz2f8CW9HsPVwGTYeKNHtOC2ihNnLc93uU35s9vJcHfdnDZhFhckBtNZX042IiIhaBk7hJCIiomaVlV+GoqoGn8vdfH6PIE2/UxdUyTtZjVEvrwnqtEPAvyw7f9bJqxJ8nneTRcKtH/6u23Fm5Ze5Lewvk9CUUSfXLwuE3AQhMowZaERERBQYZqARERFRs1KbPVVZ1xiU/Y84q4Oq5VbmnHAJ/hQGYdrh8JQEJMepC4gJ8D8zr0r9LFHdpleuzi1StZxete7kgFlEiDWAVlhRH7TMQSIiImrbGEAjIiKiZqU2e+rjjQVB6YZ5fkoCAslrkwv56xWUMRoETBrkO9NLHvPMq1P9ysyLDVW/rB7TKy2ihKXbj6laVq9ad3IThI15JQCAvSeqMWX+Zox6ec1p76xKRERErRsDaERERNSs1GZcCdA3UCXbeqhc5SROzwIp5O/MIkpYtsN3cCcpLgLzpg71e1pl71gJSbHhqoOHyumV/lDbHCExOky3WncnT1mnqNabHKduBqNhAREREbVtDKARERFRszIaBMy8OtXncoEGcDzRa7pgUWWdLtvxVSdM9urkQQHVJDMIwDMTzgEATRl4/p4vtev9ZXAXXWrdWUQJx8rdvybBaFhAREREbRsDaERERNTs0tOS8X8je6laVq+Al0yv6YJlNfrUaFN7fCU1vhsv+HJF/86YN3UoklTWXAP8P19q1xuXmuTX9p1l5ZfZmwi4E6yALBEREbVNDKARERFRizBWZeBEr4CXbHhKAuIjNRQE8yChXbgOo1F/fHqdh/S0ZGyYPgYjfXS9DKRhAdA0Vddbblkg23dWVKUuEKl3QJaIiIjaJgbQiIiIqEUYnpKATjGeg1CBBnA8MRoEXNzHe/BIjaRYfQJaagJNMeEhup4Ho0HwGgAMtGGBvA9fU3UnDUrWZfpmZk4hnvtht6pl9Q7IEhERUdvEABoRERG1CEaDgMfH93X7nB4BHE8ycwqxfGdRQNvQM7CnJtB0VsdoZOWX6Vq/yyJaC+3ffH53tI9yzMgLtGGBLD0tGfdekuLx+Q/W5Qdc2D8zpxD3L8z22bAgWAFZIiIiapsYQCMiIqIW45K+Hd0+rlcAx5lFlDB7ea7f6wu2f3oH9tLTkjFv6lB0dMrIk/ew42glpszfjFEvr9Gtk6TZYg3GDewWj7duGgIASI6NwJf3XIgN08focu7VdBgNpLC//Hr6WjuYAVkiIiJqmxhAIyIiohbDOXAiALoGcJyp7Xj52Ni+eG/qUISFOH50ClZgD7AG0RbdfQEAIMxoDfI4B4aKKutx/8JsXYJo8rk3GoCwUOtxRoUbMaJ3om5BJl/nO9DC/mpfz4TosKC9bkRERNQ2MYBGRERELYZtFqGdBGtNsGBlCaktIN+rQxTS05Jx0VlN0/3m3z4saIE9WYPJekJMFvc5VfKjgWRtycz2AJoBIbbz7a2LpT/Unm9/C/urXe+ZiecyeEZERESaMIBGRERELYbZFkFTxss27D+pa60vJbUF5AtKagEAkqK0/6Bu8UGd/peZU4i/Lsiy7dezQLO2ZPI5DjEICDFaPyKaPQTu/BXsDqNq10uKi/Rr+0RERHTmYgCNiIiIWgxRsgZsJEXc5o4FW3St9aWkpuMlALy5eh8ycwphsljsj20+WBq0wJ5cCL+0plH1Ov5mbcnk4KXRICgy0ERvq2jm63wHWthfzevJxgFERETkDwbQiIiIqMX4dV8JgODW+lKSO16qCYM9uWQXthSU239+ePH2oAT21BbCd+Zv1pZyv4CcgWYLoOmcgeatw6gehf2V2/e0hWcmnsvGAURERKQZA2hERETUIlhECfN+OeD2OT1rfTlLT0vGY2P7eF1GAlBRa3KpRRaMwJ7aQviyQLO2ZE010ASEGKwfEU0WfTPQgKYOo870asggb79zrPuA4uXndg5o+0RERHRmYgCNiIiIWoSs/DKUnPI8ZVGvWl/u9OoQ7dd6wQjsaZmKqUfWlkyUM9CMTVM4gzVFdVxqkkOG2AvXpOnakCE9LRk/Pz7a/vP7ioBdYxCCgkRERNT2hTT3AIiIiIiA4Hdo9CaQ6Y/KwN6I3omndSxJcRGYeXWq28CTRZSwOa8Umw6WABAwonciLjwr0W2gzSJKqKwzAQD2nTiF3h3bAQBMQQigZeYUYpbTFNXXV+1DYrswXTtjiopCehf37Wj/f5OZATQiIiLSrtVmoL300ksQBAGPPvpocw+FiIiIdBDsDo3eyMXnA6FXYE9NIXyjACy6+wKPWVuZOYUY9vwq3PrR75i7Ng9z1x7ArR/+jmHPr3KZbpqZU4hRL69BQam10+hLK//EDe9tAqB/BprcHKHIaYpqaU2j7lNhlWM3CoK9s+vv+WVBy6wjIiKitqtVBtC2bNmC999/HwMHDmzuoRAREZFOhqckIDE6zOPzetX6csdbcXu19ArsqRlLt4QojDy7g9tsssycQty3MBsVtSaX5ypqTbhvYTZ+3H0CAPDj7hO4f2G2S8214uoGANYglCTpE2xS0xxBz6mwynp1o1/9BfJmH1iUHbSurkRERNR2tboA2qlTp3Drrbdi/vz5aN++fXMPh4iIiHRiNAi4bURPt8/pWevLk3GpSYgJ96+6RWJ0mK6BPbkQfkyE43gSbAHGqDD347SIEmYt2+1z+89n/AmzaP2vr3BVvUmfKY++miPoXePOLDaN2znjLVhdXYmIiKjtanU10B588EFMnDgRY8eOxfPPP+912YaGBjQ0NNh/rqqqAgCYTCaYTK7fyrZG8nG0leOhMwuvX2rNeP0Gx8AuMQAAgwAoE5GS4sLx9JXn4PJ+HYJyzn/cfQLPZ/yJ6gazw+ODu8Vi+9Eqn+tfPTAJosUM0aLfmC7v1wF/HdEDb689iAtTEvDQZWdBFCXc/slWNJgsbs/D7/llKKpqcLM1R0VVDVhfJKha9uP1efi/Ub0CDlwWVtSoXs5kig1oXwBwqs7zsUmwBmVnL9+NS/u4rwtHLRfff6m14zVMrVlbu361HEerCqAtXrwY2dnZ2LJli6rl58yZg9mzZ7s8/tNPPyEqKkrv4TWrVatWNfcQiPzG65daM16/+tlRKuCrgwYAgkPwbFgHC6aeXQPLoa3IOBSc/X68T07KdwykbD9a6fKYO+0q85GRcVDXcYkS8NsBAwADaitKcDK3GIdPAUAIKqtPISMjw2WdrSUCAKOq7Zc2qAsavbJqP+b/ug/X9RIxKNH/6ZUHK9WN7eDu7cg4us3v/ci2FHvfnzXjrQFzv8pEnzjWRGuN+P5LrR2vYWrN2sr1W1tbq3rZVhNAO3LkCB555BGsWrUKERHqaozMmDED06ZNs/9cVVWF7t27Y/z48YiNDfybzZbAZDJh1apVGDduHEJDQ5t7OESa8Pql1ozXr75+3H0CCzbtcDudcGuJEXeOHYQr+nfWfb8WUcKc19YB8JStZC0+L0nwONUxOS4cD910ia5ZTD/uPoE5GX/aM8R2lhvwcm4kbruwB5CzHyZDKBLPPR/n9WzvsN/4vFJ8tn+rqn0khKkPGlU2Cliwz4i3b/b/dbCIEr55bR1OVDV4PJfxUSF46KZxupzLY+vzgbz9Ppc7q/9gTBioX/dPCj6+/1Jrx2uYWrO2dv3KMxXVaDUBtK1bt6K4uBhDhw61P2axWLBu3TrMnTsXDQ0NMBodv2UMDw9HeHi4y7ZCQ0PbxAut1BaPic4cvH6pNeP1GziLKOGFlXu91uJ6YeVeXDmwq+5T7f7IK/U5jVHOhhPgGkQTAMy8uj8iwj03P9AqM6cQf1/sGkwsqmrAKz9ZA0JVdWZM/fgPJMdFYObVqfZOnCFG9R/tukQBSbHhXgNaMnnKYyCvQyiAWZP6476F2R6Xqag145f9pW47i2rVvp3rZ0B3kuOj+TvcSvH9l1o7XsPUmrWV61fLMbSaJgKXX345du3ahe3bt9v/nXfeebj11luxfft2l+AZERERtQ6+issD+haXVyqu9r5f2V0jeyEpzjEDPjzEgEfH9sG41CTdxqOmU6WSczH8khrfNc1kNRbgmQnnAFAzSVWfIv/jUpMQH+X5g6q1Lpk+nTj7dfY+2yCYXV2JiIio7Wk1AbSYmBikpaU5/IuOjkZiYiLS0tKae3hERETkJ7VBLLXLadEpRl1ZiHGpSdgwfQxCjU2hpgaziDdW78eol9fo1s1RTTBRSQ4zyUEntccDALGhwBX9O2Pe1KEuwUFvAnkdsvLLUFHruVivnp04JUUY0jlAeDq6uhIREVHb0moCaERERNQ2qQ36aAkOqTU8JQHJcRFeM7DkLKVVuUUwWVwzo5yzwALhT3BKGXQanpKAzjG+p5MaBCAlxnos6WnJ2DB9DEJUBpICeR1OZ7BUfq06x4a7BAiT4iIwb+pQXaaKEhER0ZmhVQfQfvnlF7z55pvNPQwiIiIKgJogVkJ0KIb1bK/7vo0GATOvTgXgeRrjzed3t0+tdMc5CywQgQanjAYBt1zQ0+eyogTkVzcdsdEg+JzGqceUx9MZLJVfi/jIMGyYPgZ9O7cDADw2tg82TB/D4BkRERFp0qoDaERERNT6KYNYnpTVmDD6lbW6TZVUSk9LxrypQ9Epxn3R+TdW78eFc1Z7nVqp19RDNcFET+SgU1Wd5ymSSlVOi1mk4E95lI/PEz3rkpksIgAgxCjAaBCQEG3NzEvp2I7TNomIiEgzBtCIiIio2clBrLhIzwXm9Zwq6W7/3z000uPzZTXqglKBTj1UkxHnTBl0sogSlm4/pmq9WMWpFkXJ3m30lckDgzbl0VuwVO+6ZI0mawCtut6MTXml9imqZltgjYiIiEgLBtCIiIioRUhPS8bj4/t6fF7PqZLumN3UN9NKj6mHcjBRTWF/56BTVn6Z6mBfjbnp/5XZZ+NtDRM62mqpzZ7UX9cpj+lpyXjyynNcHtezLllmTiH+uWQnAOBwWS2mzN+MLQXlAJoy04iIiIi0YACNiIiIWoyCkhqvz+vZpdFZ9qFyv9fVc+oh0FTYv1diFABgeno/vHvLUJfpj85BJy0ZcEsLDPZApDIgabRNeYwJt6aonZscq/uUxwuczlPvjtF49YZBGJeaFPC2M3MKcf/CbJdunw1ma+Bs+5GKgPdBREREZx4G0IiIiKjFqFRZv0uPLo2u22zwaz29px7KjAYBIUbrR7VB3eMxYaA1qBYZan3sjRsHuWSGacmAq2gU8IctaGhWBNDkqY7GIE55FCXHbL+8kzW49cPfMerlNQFN0ZWbPXjLJVyxszAoGYxERETUtjGARkRERC1GVFiIquX0mCrpzFv9NW/0nHrorNGWNRUeYgRgDWpF2s5R/65xLgE7X0X6nclBQ4ti+qq8TTl4ZwpCsOm3A6VuHw+0zl1WfpnXZg8AUFVvDkoGIxEREbVtDKARERFRi9G1vffgj95TJZX6JcX43LdSQnQo/jXxXPz6j8uCEjwDlAG0po9sYbbAlvyckpqOpkpy51Gz2LQto2ALoNkCaRbRewaaRZSwcX8JXv3xT7z6415sPFDiNcPLIkpY8FuB2+cCrXOnNjNx44GTzEIjIiIiTRhAIyIiohZDkjxPgQzWVEk13O2trMaE51bswehX1galM6hFlHCqwTql9c/CKnvAJzTEOppGD1Mr09OSMffmwT63L0DCkO7x9n0BgEEADPYMNOt/TV6aK2TmFGLYc6tw60e/Y+7aPMxdewC3fvg7hj73k8dzYm100Ohxm4HUuVObmTh3bV7A00WJiIjozMIAGhEREbUYcm2skb0TERPhOJ0zmFMlAaDBbAEAxESEIDLU6LLvv17U0+16gU47dCczpxCjXl6DUw3WMT3xzU57wMdbBposUUUgSYKAbbaC+nINtBBD00fDUNv/e+pOmplTiPsWZqPCTd26yjoz7vNwTtRmiflT506ewqomvBqM142IiIjaLgbQiIiIqMWQgzU9O0Tjkcv7AACGdI/Hl/dcaC+YbxElbMorxffbj2FTXqkuU/HkYBAAVNebUWeyBq56d4jGl/dciF//cRkycorcrhvotEN3Y7l/YbZLLa+iynrctzAblbXW7K2dRys87k99kMpWA822HWVmn72JgJspnBZRwvRvd/rc/pNLdrmMUW2WmD917rRMYdX7dSMiIqK2jQE0IiIiajEstgw0oyDY6351jo3AiN6JMBoEe2bWlPmb8cji7Zgyf3PAU/HkgJW7aYV5JTWorGvE1kPlOFHluUtnINMOlbx1kZQfK6mxZny9mPGnx2PvEB2uan8dosPs+wWagmaO00erXQJMmw+WorLO7HP7FbUmbM5zbBgwPCUB7aO8N2wIpM5deloy5k0dinbhvhtS6PW6ERERUdvHABoRERG1GKIikCN3gZQzoDxlZhUGMBXPW8BKNnt5LoqqgjftUElNF0klj9MQVZaI23KoHEDTFE5lkHLXsSoAwLxfXeuFbcpz30XTnY15Jx1+NhoEnN/Le3Bs0qDkgOrcpacl4/9GpahePtDXjYiIiNo+BtCIiIioxVAGcuQukCaL5DPQJcG/qXhqAlaFlfUoO+U5+0zJn2mHSloDOZ6mIZaoHO/nm4/AIkr2dS2i5HH6qDJQJ3kNOTo6XuG4LYsoIavAe8bXsh2FAU+rlOvpqRHo60ZERERtHwNoRERE1GLIQQ+jQUCoIgNNbaBL61Q8tQGrhOgwdIrxPC1SQGDTDmX+BHLcTUNUu52KOhOy8svsDRRqGsxep4/Kgbr4SO9TMJW6to90+DkrvwwVta6NB5T0mFYpdw+NDjN6TMjT63UjIiKito8BNCIiImox5CYC1imcTRloP+1WNz2zqLJO0/7UBpqS4iLxyNg+bp+TgzMzr04NaNohoK2LpDNlMHBYz/YQVG5kVW4R7vxkCwB4zStTBuo6tFNXYw0ALurdweHn1bnumzE4C3Rapdlinfp70dkd3D6v5+tGREREbR8DaERERNRiiIomAiEGWwaaRcQ32UdVre+uEYA3agJWcobSJX06un0+KS4C86YORXpasqZ9u6Oli6QzORiYmVOI0a+shdoZjB9vLEDpKfXnrbi6HofLalUt2y48BBeelWj/OTOnEB9tLFC1bqDTKuXpwP06x2De1KGIjXBsKqDn60ZERERtHwNoRERE1GIou0GG2jLQKmtNqK63qFo/QUNmlLwfXwErOUNJHltUqAFywtI7twzFhuljdA3CyF0kO7YLU7W8chqip0YLeuoQHY4vsw6rWnbK8O4OnT1nL89VtZ4e0ypNtgw0o0FAeloy/pl+DgAgrUssvrznQt1fNyIiImrbGEAjIiKiFkPZREDOCiurVZ8dlRSrPWtJDlg5ZygBQI+EKHuQpak+mwGRoUYAQFrX2KBM/0tPS8and10AAGgXbsRjY/tCgGtzTeU0RAA+O4oGQg7UQQCKqtQ1Kfhwfb698YCWDqOBduEEmqYDy4HY8BDrx97EduEY0TuR0zaJiIhIEwbQiIiIqMUQbQG0vJOn8MQ3OwEA5T4KzssSo8P8zlpKT0vGtPF9AQCDu8dhxpXWbKWoMGPT2GwBNINBQLgtgNZgFv3anxry/tqFh+KRsX0wb+pQJMU5BgiV0xC1BKi0Ugbq1Hb4lMmNB7TUNNOjC6ccjA2xNaMIC2lqSkFERESkFQNoRERE1GLIQY/vtx/XXM/sub+kBZRVZJvxhx4J0ejfJRYAUF7biE15pbCIEuR4jnUX1h/+KCgLONDjiTwFMTTEekzpacm2aYedAQB/GdTFYRqi9qL76setDNRpqU2mbDygZT09unDKgbIQ2zUh19QzmYOVo0dERERtGQNoRERE1CJYRElzF00lQ4CfauSujSeq6vHI4u22/2/AlPmbMerlNVi37yQAoLLOhLIaa1bcU0tzMOrlNfZpinoyyVMQFQdmNAjomRgNAOgYE+4QMNRedF9dsHFCWmeHQJ0/nUKLq+vt62lZx18WUcIJWzbe0fI6WETJPpWz0cIMNCIiItKOATQiIiJqdpk5hRj18hpszCv1a30BTVMF/SVnv/2eX4ZSp+y3osp6PL9iDwDAeRdFlfW4f2G27kE0ewaa0fHjWpjtZ5NTIMifwJYnym10io10CNTJjRe0nOlOMRGaO4z624VTvpY22zLYPvmtAKNeXoMdRysAcAonERER+YcBNCIiImpWenSOVE4V9FeD2XOnT2/BIvm5QAN4LuMxWcdT02i2TyMFmqYk7iuudnhcGaDSEkR7bGxftI8KdXgsKS4CEwZYM84COSZlh1DAOg313VuGqBpfucYpvIDna6mosh7vrM0DwCmcRERE5B8G0IiIiKjZWERJ186RgUz7O1xa6/e6egTwlDJzCvH4/3YAsE5BlKeRzsnIxYcb8gEAm/LK7I/L2W9yR1HnZgOeRh0fFYKHxpyNVyYPBAB0T4jEl/dciA3Tx+CcpBgArhlb8mvmi7LxgDKDbcLALvjL4GSf6z+3QltA0tu1pHysrKbBIfBIREREpAYDaERERNRs9O4c6e+0PwCobjAHvH/nAJ5FlLAprxTfbz+mOmgjZ1E5dx8trKzH++vyUV3vOE7nKaRyswG55pc3FbVmrMotghzuSogKw4jeiTAaBITY1pdrscnUvmYJ0WH2xgPOIkNDfK6vNSCpdlwnTzW6BB6JiIiIfPH96YWIiIgoSALJGFMSYJ12KE8V9Ee4MfDvFZUBvMycQsxenusQ1EmIDsXzf0nDhIFd3K7vT0aehKYacONSk2A0CDAaBAgQAEiIjQhBVb274KBgX2/W1f2tjwhNQTe5eYFz0E/ta/bMxHPdBs8A9cFKLdeH1mtJDjx6CvIRERERKTEDjYiIiJpNIBljShJcpwpqldguLKAxKGt9earFVVZjwgNfbMOcDPdTIP3NyHM3hVSeeuk+eOa43t4T1QAA5emTz6VzswK1r1lSXKTH5yJDjaq2oeX60HotBat2HREREbVNDKAREVGb5s8UOjp91HaOTIj2HtyKjwrFuNSkgMZiCfDSkAN4arLI3l+Xj4ydrtMHA83Ik9eXJMmlW6g3lbXWgv3KDDQ5Ie9wWa3D746a1yzZRzagrxptzs0H1PCnC6neteuIiIio7WIAjYiIWhy9gl6ZOYUY9fIaTJm/GY8s3s66Ry2Qt86Ryp/LfHRkrKg1BRQEsYgSjpdbmwiM7J2ITjHhqtc1CMC7tzRNA1SbRfav73Ncru1AM/Lk9bX+zsRGWrtwyhlomTmFeO2n/QCAnUcrHX53lK+ZJ4FmA/qzDX+7kAL6TSUmIiKitosBNCIialH0Cnp5mkLnXHCdmp+nzpGdY7UFk/wNgsjX3C/7SgAAG/NKAakpAPXo5X28BmTmThmCCQObamipHUdpTaNL0M+fLCrANWPLohh/59hwj9uT1zurQzvbz4L9d6eq3rGJgfJ3R37NEqJcMwNDDILPmmJmW4AvrWssnGNkBgG495IUv+qSaetC2kSvqcRKFlHCxv0lePXHP/Hqj3ux8UAJM2CJiIhaMQbQiIioxdAr6OVtCh3rHrVMcufIbu2tgYxnJpyLnx8frWkbBSW1mvfr6Zo7eaop4+3+y3p7DBZNGpjs0hBASzDGOdimJrvLmRx/UmZsKa/tpyac62E6qWSvHScYmh5T+7uTnpaMl68fAADokRCJd24ZYt+3r8xR0fZczrEql6mmkgR8sC7f7yC3fC0lRluz6mIjQnwGEANpPuFOZk4hhj2/Crd+9Dvmrs3D3LUHcOuHv2Pocz8xeE9ERNRKMYBGREQtgp5BL19T6Fj3qGUyGgSEGq3F5Qf1iEeEotB85xjPWVSyN1fv0xScUHPNAUCjWUR6WjJevWEgAKBbfCSuSO0MAOjVIdpl3eEpCUiwBW98cRdsk7Oo2oU7NktPjovA3y5JcakHlxQX4dJJUvl7oiabTV78VINF0++OnOkWajTg3z/k2pfxlTnq3JjAeR9AYEFuo0GAYIsKPjy2DwDPU4T1mG6qlJlTiPsWZqOi1uTyXGWdGfcxA5aIiKhVCiiA1tDQoNc4iIioDVNT00zPoJfaKXSse9TyNJqtgZUwo8EWBLE+Pm18X69F+WVagi5qa5X9brvm5AL77aPD0D0hCgDQ4CYQZDQIuH5oV5/b9Zb5lJ6WjL9e1BMAcHGfDvjynguxYfoYzJiQinm3DgUAdIwJtz/uPN1ReQ5ezPjTwwgECLCdM9txeAtsKcm/O422zgt5J2twosrxc6G3zNHjlXVet69HkFs+lsv6dcK8qUPRKdaxrp27wGOgLKKEWct2+1xu2tc7mAFLRETUymgKoK1cuRJ33HEHzjrrLISGhiIqKgqxsbEYPXo0XnjhBRw/fjxY4yQiolZKTU0ziyhh44ESVdtTE/RSO4UuGHWPKDBy0CPU1gIy1GD978V9OuIxWyaRJ1qDLqoDrVXW5eSAh0EAjEZrMO3PwmqXoLBFlPDDziKf2/3XRO+ZT7ZYIvp2jsGI3on2ZeXMvDCjweFxJeV4iqp8B6YPnDwFAAgPUffRUP7dqTdZvG4bcB/UrGnwvJ5SIEFuZTA2PS0Zvzxxmf25D28/z23gMVBZ+WUoqvL9BXNtowVv/7xf130TERFRcKn6lLR06VL07dsXd911F0JCQjB9+nQsWbIEP/74Iz788EOMHj0aq1evxllnnYX77rsPJ0+eDPa4iYioFVBT00wOsM1de0DVNtUEvdQUYo+PCtW97hEFrtEWQAsLsb56IbZAldkiuZ0u6Y7aoIvaAGp725RJ0TZdsarehEWbDwMAft130iUorDazrX20a001JbNTMFEWZgtyNXrJFtOa3VRZZ51uGB8V6vV3x7lm2N6iKq/b9RTU1Bqo84dzMDYitGmfg7rH6zptU+YtWOnsvV/zmIVGRETUioT4XgT4z3/+gzfeeANXXnklDAbXDzw33ngjAODYsWN4++23sXDhQjz22GP6jpSIiFoVX/WlBABPLtmFylqTqql5gPpi33Ih9vsWZntcpqLWhFW5RbpkoFhECVn5ZSiurkenGOsYg3Fz3tZZRAn1jdbMpJxjlUjp0M5+Hk2iqHtmoRxoLaqs93oNDugaB6CpTli+m2YFclB43tShaDCrmwa5KrcII3onenxeDgCFGR2vJYNtKumpejM25ZW6vd7k2mRGA6BmVmZMuLVmm8FgwMyrU3G/m98d55phmTmF+OL3w743DtegZmK7cA9LNu0rKYDi/iazaO/0ueNIOTrGJNlq7AkwWSSYRXWvkVZlp9SXN6k3i9icV4qRfToEZSxERESkL1Vf/23atAkTJ050GzxT6tq1K1566SUGz4iISFVNswoNwTMAmDQoWXVgalxqEuKjPBdyt9d+CjAD5MfdJ3xOUSXf5EzEelvw6dGvdmDkSz/bg0hbC8oxrGd7xEV6f021dFRUdrz0VGAesHaFBGCvE+aOcrpiBx/BIdn32497vf7k+mIhigy0zJxCTP3odwBAncni8XqTt2sUBFUZZb06WGu6GYSmJgaJXpoVyNmldSZ1gSiXoKbisPUu7p+ZU4iL/7PG/vPfFmbbz1GI7bOsyRyczC/nBg++bDqobuo6ERERNT924SQiItXUNAOQBaNA/wfr8lUHprLyy9x2wZPpUaR8R6mAvy/e4XWKqhaNZhEfrT+IZ7/PwUfrD9prOAUqWNvVi8epvlUNqLcFaP757U6MfmUt0rrEut2Gv0EXOViUFOcY4EmKi0CEbZqhnMm0r/iU123J1xQkqOrCWVrT6PH6s4gSjlVYM90KK+pgESX7eTpZ7btYv/y7GWq0ZpS5/02VIMF6zgTbGZTPXHpaMj684zwAQHxkqEOzAm/Zpc48BTXlDLlrBnd1e+79Le4vnyPnOmTyOZIjd96mvwYiKS5S4xrMVCUiImotVE3hlBUWFuLnn39GQkICxo4di7Cwpm/Zampq8Nprr+HZZ5/VfZBERKQfLdMNlcsWlNTiy6zDDjV+kuMiMPPqVLc3uh2i1WXhaDV7eS7GpSb5DJIEuxOnRZSwpMDgdYqq2rECwJyMXMxfnw9lTPKFjD245+IUzJiQ6tcYg7ldvWgJxhRV1nvMakzyci36kp6WjHGpSbjkP2twrKIez0w8F7eP6IUhz/0EmIGth8rQIyEKFbWNqrZXUtOAawd3xUcbC3wu6+76y8wpxOzlufZj/XLLEazdW4x6s6j6erM3PFAZTJQgN0hoWl5uVhBia1YgU1vjTeYuqCnaxpfaJQav3TgIk95ej92F1RiX2gl/vSgFF57leWqrJ2qmjcvTa4M1hXNYz/YQANWZtSGc6k1ERNRqqA6gbdmyBePHj4coijCZTOjatSu+++479O/fHwBw6tQpzJ49mwE0IqIWzPnGHPAcBHO3rDNl3SeXwEUQ7guVWWPeakcBwe/E+cehclQ0ej5ILWOdk5GL99fluzwuSrA/7k+wK1jb1ZOWYIy7oES/zjGYNal/wHXnrPWxrBlnDWYLRr+y1t4p8on/7cRrP+3D4O5xqrbVKSYCY1OTVAXQnK8/OYPK+Vh9dXZ0vt6apnBaA2vuCfbA20NjzrY+ojiF8vkwOWVrqQ06x0eF4qXrBrgNasoZaAZBwKrcIhw4WQMAWJVbjFW5xV6D856omTYuT8cN1hTOrYfKNU1L/+qPI/j75X1YM5GIiKgVUD2F86mnnsK1116L8vJynDhxAuPGjcPo0aOxbdu2YI6PiIh0oqYjpq9lnSnrPjlP5yzRUExbKzU38L46cWqtl+Vs9Z5iVcv5GmujWcT89a5BLqX56/M1T7sM1nb15m8GoDy9Mj4qFCN6J+oSgDDZao698uM+t78nK3NOeF1feU3J15+aZWVasvE8kc+nPEWxwSz6DCoVVtYj3xbAEhQRtDAPATS1QecHLz0bDWbR7XRv+ed9J6px/8Jsl8YL/kyD1nItZR8uD0oHzNW5RZqWD3Qaub+0TMcnIiIiK9UBtK1bt+LJJ5+EwWBATEwM3n33XTzxxBO4/PLLsWXLlmCOkYiIAuRrahPQFATTehPvqZaYv5ldaqjZtlwg3tNxyLWf/Am8WEQJ3+9Qd2Pva6yfbyqAr3tXUbIup0Wwtqs3f68TT9lRgWgwWzw+5+v3wbkGm7JBga9lZVqnRrrTKSYCmTmFuOPjLABQXeS/st5aL1D56xAaYuuA6nSOfQWn5e28kLHHY2MN0ZYKlplTpOp9SQ0t19LMZbt1b/ZhESUs3X5M83rBqBfpjdywg41PiIiItNHURKC+3vEP/JNPPomnnnoK48ePx2+//abrwJzNmTMH559/PmJiYtCpUydcc8012Lt3b1D3SUTUVqiZ2iQHwfy9iXe+CRyekoCkWP3roAWSNaaXrPwylHtpUCBLjA7zOdZDZbWq9ql2uWBvV29qgjHuyI3B5awxPdQ1eg6gKfVMjEJ7pw6v7grfp6cl4/9Gpbis76lIfiCBFDmjrbymEfcvzEbJKXX12mQx4SG27TS9Ek1BSgmS1HSevQUHZc4xL+eMMjkoVlVv9rgNrY0+tF5L/jb78CQrvwxlNb7fF5wF88sGZ56yiwt1PhdERERtkeoAWlpamtsg2RNPPIEZM2ZgypQpug7M2a+//ooHH3wQmzdvxqpVq2AymTB+/HjU1NQEdb9ERG2BloL6/t7EO98EGg0Cpgzv4de2vJk0KFlV1phFlPDkkl0en5drP/kzdUntOfrL4C4+x9ozIUrVttQuF+zt6k1NMMadyjpr4KWsRr+pwmqz2aLDQ/Dq5EEAgO7tIx06VDrr79Q19L9TBntc1t9AinyF/WviuXhuhbYpoHLgrUei9TowKD4ZygE0wDVQKXcvjbQ1GvBFsv1TZrqqpfb3Teu15E+Wmzf+vHfGR4Weti8E5PdEb1m5ep0LIiKitkh1AO3222/Hxo0b3T73z3/+E7Nnz0aPHvrfKMkyMzPx17/+Ff3798egQYPwySef4PDhw9i6dWvQ9klE1FZoKajvz028QbB2n3PWq0O05m35smxHoaobvLlr9qPCS5aY1uwWJbXnaFxqks9lbhvRC77igQbBupwWwdpuMMjBmA7twnwv7ORYRb0uWTMWUYJZZeAgIsSAiDBr4Cg6PMRrDTazU+AprUucx2XV1O2LjwpFUqzj9SdntLWPDteYPWod28yrU+3RJGUNNGWHyI0HSlx+79LTknFF/84AgGsGd8G/Jp7rc4/y75yWII2W9yT5WkqMVnctBfI+4KxDO+0Zt6ezdYCv90Sg+WqyERERtQaqu3DefffduPvuuz0+P336dEyfPl2XQalRWVkJAEhI8PytXUNDAxoamr6ZrqqqAgCYTCaYTNpT7Fsi+TjayvHQmYXX7+kzpFsMkmLDcaKqwW32gQAgKS4cQ7rFwCJKMAiuU7C8ESUg6+BJXOCUSZEYpfrPjGqFlfXYdKDYZV9KFlHCxxu9F9C3b6+iBiaTY5aQRZTwx6FyFFc3oFNMOM7r2d4h6DGkWww6x4bjRFU9vN0Cn6yqddm2MwHAXRf1xIcbD3lc5q6LekKQLDCZ1E0xDOZ2g+Xyfh3Q8dYhuP793xEbGYI7R/TEV38c9dl9EgCeWroLF/dOQFiIpsoUdj/uPoHnM/5Ufc0nRIVCkKzZao1mi8f3MIsoYU9hhcNjm/NOoktsmMcg2tNX9sPfF++AAMe6a/LSz09KxdhzO2HUf35BSY0Js646Bzef3x1Gg4DlO7UFEuPDgNl/ScPl/Trg002260SUYDKZ7OdEducnW5AUG45nJpxjD5rJxw8AA7vGIjZSXTbakbJqlFRbX9foMCNqGy0+35e0/J24vF8HRN0wALd/shWxESFep4nK3L0PaNXYqP1vWXmtyef7mR4sooSPNhxUteyx8lMBn4tg4+cHau14DVNr1tauXy3HIUjKohathCiKmDRpEioqKrBhwwaPy82aNQuzZ892efyLL75AVFTzTlkhIjrddpQK+HifHGBQ3rxb/wzc1VfEoEQJ+ysFzM1VdyOsdHsfC4Z1cPyTIkrA7GwjKhqd9xkYd/tS0nIMD6Va0CeuaVs7SgUsKTCgorFpvPFhEq7rZT0/sm0lAj7Z7+58yiTEhwEzh1p8ZoKpfW38MX+PgJwKg8sYQwQJt/fxf7vBUFANvJETgsRwCc8OtUCUgOezjSht9H3ttAuRcONZ2o/H+7l3fS0AAQMTRFzeRXQYq7vtOl9HMnfXk691leuIEvDvbCPKGwVc29OCS5KtQW8t132nCBE3pEg4O8667i+FApYWGDE0UcTgREn19fjhnwbsKjfgprMsaDAD3x32vf8wg4RG0f259bYvLf6sEDBvjxEdwiWUNPi+fpzfB/yx4rABPx3THsT19X6mBy3XxjU9LbisS8t5XyAiIgqm2tpa3HLLLaisrERsrPcvkDSnBvz222+46KKL/B6cHh588EHk5OR4DZ4BwIwZMzBt2jT7z1VVVejevTvGjx/v88S0FiaTCatWrcK4ceMQGhrqewWiFoTX7+k1AcDQ3Sfw8Fc7HDJtkuMi8PSVTVkly3cWArmea4d5Mv7iC9xmUYT2OoGHFu/wd9ia9iVTewzxkaF46KZx9mygH3efwIJNO1yyYSobBSzYZ8TbNw+yn6e4/cX4ZP92L1sXUNEIdEy90Ge23MyXfgHg7tsva0n3lSei8M9bL9HcMfTH3SeQs8n9uTdLAj7eZ8RcxTE1ty0F5UDOFsTFRGPChFEAgHfyNqL0pO96p6fMrq+RLxZRwpzX1gFwl+XmeK6T4yJw8dkd8PXWY+iSnIzRF6fgjZzNCAmPwIQJox2W9XQdySrcXE9KEwD8U5Rw2WvrUFjVgGcm9MPUC3rAaBDw4+4TmJPxJ8obrWNeesiITeXWzLCHzu2Eb15b5zHTVD4qCUBxvQHv7AE6x4bjXxPOwTlxdUDBPnTpkoyMQxUez4nz9bikJBsoL0Foh15YufM4AN/ZjI7BM3lUjpzfl7SK2HsS2LMNyYmxCDnV6DP79qGbtP9+Ocv4cjtwrFjzer7ez/Sg5X09rksvTJjgezpuc+LnB2rteA1Ta9bWrl95pqIamgJoGRkZuPPOO3HixAnNg9LLQw89hB9++AHr1q1Dt27dvC4bHh6O8HDXehShoaFt4oVWaovHRGcOXr+nz5UDuyJ6aQ6qG6w3uYvuvgAXnuVYvyk5XlvdMusNaARGnN3J7Q3oVYO7YW9xDd5ecyCgsdvH52Vf9mVUHsOdI1MQEW6tlWQRJbywcq/bm2w5F+mFlXtx5cCuMBoElNWpm/ZYWmv2en2/u3ofKup81WprwLaj1RjRO1HVPgHr8Sin4HmiPKbmJtpKs4aFGO3nLDJMWzakluP5I69U1RTRyUO74uXJg/D5pgJg6zEYjQaEh1nHV9Ngxh+HqzA8JQFGg+D1OtIy1lAAIbYpqUN7JSIiPAyZOYX4+2LXwNyJqgb8ffEOzJs6FLMm9cf9C7M97tN53WLbutcN7QoAqKizeD0nztej2TaRYWHWEV+Hq0qnmHD87ZKzcNuIXn5PybWO03pOw0NDMGtSH9y/MNvjtNiZV/e3vw/4yyJKyCrQXjtMzfuZHrS8r/+w8wSevXpAi3hP8IWfH6i14zVMrVlbuX61HIPqTyYLFy7EzTffjEWLFvk1qEBJkoSHHnoIS5cuxZo1a5CS4toWnoiIPMvMKcSol9fYg2cA8MT/dmBVbpHDcr4KmSs13YCmer3Z8lYtIETjTZqaLpxqjiE+KhQPjTnb/nNWfpnXAuzOxcY7xagrGF5S3YDvtx/DprxSl8LpFlHCgo0FqrajtcNfVn6ZquBQSyoa3mCrxVbTYLafr/ZR6gMbWgvCqz2n0eEhMBoEe+bmicp63P5RFgDgVIMFU+ZvxqiX1yAzp9DndaRlrCazdYdhRgMsooTZy9132FR2kxyXmoR5U4ciwamIvqdfGXndn3KtX442mNUFhour62ERJZSouMa0KK5uwHMr9mD0K2sDag7RaGveEGo02BsLJMW5b77griOqVln5ZSiv9V1rzZnarsKBGp6SgKRYde9ZpTWNLeY9gYiIqCVRFUB78803cffdd2PhwoUYO3ZssMfk1oMPPoiFCxfiiy++QExMDIqKilBUVIS6urpmGQ8RUWuSmVOI+xdmu9zYF1bW476F2Q43qkaDYO3Kp0Ln2HCfN6CZOYWYuzbP4/NqOx/K1HThVHMML16Thqz8Mntwq6hKXTBFDrqc17M94sMkr0E6gwA8t2IPHlm83SHIIsvKL/OafaaktTuqloCb1uBcMGTmFOKJb6zTTY+U19nPV3lto+ZtqT0etee0XYQ1YV+0BYL/OFSOk6ccA0dFlfW4f2E2VjsFpH3xNlazaG1UEGo0aArwpqcl440bBwEAusRF4F8Tz/XaIEECUG0rtB8Zqi7jr6CkFqNeXoO9xadULa+VfD79DaLJwdjy2kZsyivFuNQkbJg+BhfZsjinXtgDG6aP0SV4Bvj/O6S2q3CgjAYBsyb1V718S3hPICIiamlUBdCmTZuGV199FZMmTQr2eDyaN28eKisrcemllyI5Odn+76uvvmq2MRERtQbeMldkTy7Z5XATJ2dsxEd6T2muN4uq9q0nT1k7FlHCprxSe0DMUyaOdYpYCp5bsQdT5m+2B7ee+2G3qv3LQRejQcB1vbwfv/N9sXNQQO1NanxUKIZrrJGkJeCmNTinNznAW17rGEwsqqzHrmPWuhS3DO+BhGh1KfZqj0dttmWPBGvjITmg5Y78Ui/dfkzVvmXextpolgNoguprRV5OEKxHFR8Vhg4qsyWt4wn3ek4EWK/HN1fvU5Vp5y/J9u+ppbvs50GtzJxCPL9iDwDgz6JqezB2VW4RkuMiAQBd46N0zfzy93fodGaApqcl47GxfVQt29zvCURERC2RqgDayJEj8e6776K0tDTY4/FIkiS3//76178225iIiFoDNVPKKmpNmOtUoyw9LRl/GdzF53rOGWxa9+0P52CCPD1VGRAb9fIaAMB/bxrssOx9o3vjg3X5LuMqq/GdCWYQgGE929t/HpQo4dXJaW6Xc0c51c4iSqpvUu+8KEXzzb7aKVvJcRGag3N6UjM1EQD6Jcdg84yxCDN6Pg8CtB2Pt0xFh36QtoEcKq31uj0J1uvIOWjr71hNimmIaq8VeTk5W04QtAVDDIpz4q7Uv/yanK4ejWU1Jlw452fVmWhyMLayzjUYe//CbJyoss5cMFu0BeV80TL13dnpzPbq3cF3LTTn9zkiIiKyUhVAW7VqFVJSUjBu3DhNHQqIiKj5qb05W/BbvkMWWmZOIT7ddEjVunJAyN99a6UMCHianirfMP/uVNj73V8O+H3zL0rA1kPlDo+N7tvR4ecZV/bzOV1Ozjrxp1abWmqnbPmqXxdsaoOsB4tPISzEgP5d4tw+r7YenzM527JDO8egV1JcBAZ3t+5LnmYsT3P05ZrBXVQFUnyN1WRpmsLp61pxDsjJl6BBEFStGxMeYl/eW82wx8b2QUWtumnHeimraVQ1nVNNMDb7cAWApnOrF6OXwKMvpyvbKzOnEA8t3u5zOXfvc0RERKQygBYREYFly5YhNTUV6enpwR4TERHpSO3NWUWtyT6VSOvUS0/TkIJxY6gMEvi6YZYALNp82OHxklPaa2opFVU61t6Uay3J4iLVFb0vrq5XddP90nX+d8NLT0vGe1OHuq1r1T4qFO/pVEA9EGqDrFW24FVH23TEduGOjcQDKQhvDRgNAwAkRIfiy3suxIbpY9C1vXXqphwcjg5X17xcnj6cHOf++k9WMVazRbQH7nYcsQYzvF0rEhwDcpIiA01Npt2l/Tralrc+kp6WjA3Tx6BXB+s5mJ7ez/azti69epHgOVAvU1MnrrbR+vsqNxnQU3paMu69JAWCxl/X8prA3pPU0Pqe7u+XH85T6U9HfTciIqLTRXUXTqPRiIULF2L48OHBHA8REelseEqCz1pmMvmmyZ+pl+5uuOTMFz0pgwRqxlnmRxF6r9tT3OzuKBVwzbzNDs+/nPmnqu3IwUVP2T7xkdoDXI1mER+tP4hnv8/BR+sPotEsIj0tGY+P72tfJibCiEV3X4A/nhnX7MEzQH2QNSrM+pFFnpr48OVNWXmf3nV+wAXhRduNfvuoMIzonQijQbB3iJUDWV18XMvKLDA5AHVZP8cMxZvO7+5zrNYpyWvtP/9tYbZ9SvK8qUMRF+X6+xzv9Jg87VSO5cjXWcd2jtN6k+KsjUDO7hRjXV4R/DEaBHsX1N4d28FoEHQJiifFhqNHe2stspiIENUZW77qhWkJ+uwtqtI9wJOZU4gP1uV7zUB157kV3gODetD6nu7P6+xuKv35L6xCxs7jmrdFRETUEqkOoMnefPPNIAyDiIiCxWgQcOfIXqqWlW+atHYSVK7rvG+1HT19cZcx1Ryd4hJsAYgfd5/Ax/sMOOmU0eZcCN8dwanGkBxsiQhp+rM8/cp+mgJCczJycc6/VuK5FXvw2aZDeG7FHpzzr5WYk5Frr6UFALERYRh5dgfdp236m3mitnZUl3jHbLDwkKasuvN7JQR8PMp6YzJ5m3K9LOURuasPBjgGeI0GAQnRjgGrzrERXscqT0l27gorT0nedrgclW6uscpak8M0R3sATRERS09Lxv/uG2E7TgEPpVqwdtolSE9LtgcmnYcmnw/5/ARS60s2a1J/RNmy+dS+N8l+8vLepCXos3bvSbedcf2lplmLJ6ejkYCW90p/aqB5mkpfVmPCA19sw5wMfZvJEBERNQfNATQiImp9HhrTxyVDRUmZOWMRJc2dBL0VQ09PS8b/jUrxuG5YiOOfopiIEDw5oZ/DY/dc3MttxlRzdIpLio2ARZTwfIa6TDN3JAnY4lSbzWgQYJGabr+1JKTMycjF+24yX0QJeH9dPlbvaQo6BCPTJZDME7WF/GVyLFAZ6NLjmOpN1imiNY1mewDQOQNN3s3ovh3d1gdzNy1TrrUlx7G8dZRUMyV5/vp8rzW+5GmOyiYCSpFhRvux9ImTmqZ82p4XFGfdIkqoa7Sel9zCSlhEKaBaXw7jte3wgpRE3HuJ5/cHZ99uPerx9fYnuOfcGddfgTZMCfaXAVreK7XWQFMTPHx/XT4ydgYeqCQiImpOmgNomZmZ2LBhg/3nd955B4MHD8Ytt9yC8nIWHCUiaomMBgEvXTfA7Y2lc+ZMVn6Zqo6USr6KoQ/s5lj4/YVrmjpX9kqMgrKxYnW9GR+uy3dYvmdiO7fbH56SgIRoddNT9SAHCrPyy1BU1YBAQgib8hw7W4ui5JAppjYo1GgWMX99vtdlth6qsP+/P8XTvWWX6ZF5Ik8vjIlwrWt2cZ8OAACz7dzIUy2VgddAA2iZOYV44pudAIAjZXX2zCT5mCyiBIso4UhZDQAgIsSAX/9xGeQY3ju3DPE4LdMsWs93uzDrsTWYLS7LyNQEYdQ2qGgKiDmSA4/WIJtiXacMNDkouuuYtXnUO2vz7NlanqYdqzV7eS5EyXpethSU4YN13q9fpap6s8dsLX8yXp0Dj/4KNAAW7C8DtE6n13I8aoOH//x2J2uiERFRq6Y5gPaPf/zD3olz165dePzxxzFhwgTk5+dj2rRpug+QiIj0Id/0OsehnDNntNw4qS1ELzndM52THGP//30nTsG5nrdzoX9PN11Gg4BrB3dVPV5/CbZ/cqBQn2wRx2NqdApsmVQWOf98U4GmbLWy2kZN2Tbessv0zDxJT0vG30afBQC4ICXBXsg/xVa0Xs7Ok6+FUKNjppS/5ACgc2fJosp6rN9fAgD4s6gao15eg6XbrBl1P+aewOhX1sJgS+8a2C3eYwBZfh2jbJlf+4qqPU5x1SsLqbi63v47Z3BKQVOeN+UQmjLWBJ+dbeUg2vp/XmZ/btrYPqrHV1hZjxpbMf/PNh3SPO3R23mS3+fk862GMvDor0ACYPFRoR4zePWiNbio5XjUXrenGszY7PTFARERUWuiOYCWn5+P1FTrH+Bvv/0WV111FV588UW88847WLlype4DJCIi/aSnJSMhuqlL5Md/dS2+rvbG6bye8aoL0YtOEbSNB7TdRHnLmhqbmqRpW2qEGR3/PDoHGfXIFhlxVgeHn50DaBbRe6aYnBX2y76TmvYrSVA9Zc1Xdtmji12fc+df3+eoC3LZFknpEG0v5C8HgOTzIQfSrM/B4TGtfE2ZlGXsKnQbTJKDY96OTa6fVmJrPrExr9Rj7S29spA6xUQ4dOFUUk59NduGbRElHC2zdpctrKzFrGXez4mcraU877dd1MvrNHFnckZhmR8dKDs41ZVzlp6WjAkDrO8LVw1MxkOXne11eVkgAcxAasPpW43Qs/S0ZLx7yxCXL1Hc0dIZVMt1u+lgiepliYiIWhrNAbSwsDDU1tYCAFavXo3x48cDABISEuyZaURE1HIpi4oP69neJXNG7Y3gOcmxqgu3O8cXXl+1T9V6MrOXAEV5TYOmbalxTlI7+//fMaKnS5BxeEoCkmLD4ZxFplZ8VCgu7J3o8Fhtg+PUPueAmpIyK0zOktLK15Q1Ndlly3eqazZRWtOoKrtHPmSD4rqSrzH5OXkKp1EQFM/59zoEUrdKuccGL3XN5GYAzmN0V3tLze+eQfAccFHWMrRP4XSKoCkz0vZXCFiZU4RRL6/B9zts2XW7i10aGCgps7WUWZLr9510yeLzxjkzThMVq8rXy6Bu8Rh5dgfvC9sEEsAMpGFKea0p6E0EZBMGdsFziin0nmjpDDo8JQHhIWpfz9MVLiQiItKf5gDaqFGjMG3aNDz33HPIysrCxIkTAQD79u1Dt27ddB8gEREFj+Qmc0ftjaDzqt7qZDlnoGll9hBMsogSnluxJ6BtuxOiyNLp1j7KJVBoNAh4ZsI5fm//pesGOGwzM6cQV8/d4LDMe78cdJsl5ikrTAs1U9YCLYruTE12jz27TBFcCTG4z0AzOGSn+Xd96TVlcseRCrePW0QJecWn3D7nrvaWr4YKAoB7LnZfcN+5lqF9SqZimcycQox+Za395w/3GfHwVzv9ep2Lq+thUgQOX1D5eygH+dQHXFyVnPIdNJcD0KFGwWdgUhl4DIQ8fTRRkeWr1unsKBwV6nt6q9YprUaVL+cFQZ6qSkREFEyaA2hz585FSEgIvvnmG8ybNw9du1prz6xcuRLp6em6D5CIiPSljGXJxdGdA1+e6giFKwq3K4Ni7upkOUxRC7ButKd6YHoHeeQb6ejwpmL2njLBrujfGWOSvU+zdHdT6TzNTQ6Inax2DAqcajC7ZCipyQrTwttNu9439Gqye0RFIMnO9r/7TpyyXp+218MoCPbgmo/ZrgGNSY2THgI6WfllaPRSy85dIFP+3esY4zhNUZ5GPGNCKuZNHepyHTlPM5Z/PeVYpB6BV6VOMRH2qdUGAThRrS4TVII1yCfZXlh/gk1qXjc5uBcaYlDV6dVXIxS10tOS8dbNgwEASbHh+NfEc1Wtd7o6CmfmFOLZ73NULav2PSArvwy1JnXvSgYdzjEREVFzCfG9iNWaNWswevRo9OjRAz/88IPL82+88YauAyMiomBputFZvacYb67e53BTnRwXgZlXpyI9LRkbD5Tg882HAQBpXWLRKSYca/Zaa27JWTPyjbnz7ZM8RW3e1KEBZ6DlFlZiU14phqckONzk+hPkCQ8xuJ1yJ2/1XxPPxdtrD9gf99Q10SJKyC71/j2Uu9hJZa3Jfl7GpSZ5DYhJAGYt241xqUn2Dql6Bgydb9otooSs/DIUV9ejRGVARA212T327DJb1CczpxCLNh8CAPy67yR+3XfSHjQzGgT7zbjZzwianJlUVFkfUFAyPtJ97S+116fzculpyejXORaXvfYLwo0CPrnrAodrPz0tGaFGA/7v0z/QrX0kXpk8yOV3Qz4egyDoGngVYA3WDU9JwNHyWvtjat01shfS05LxvC1j7a5RKXjlx72q11dTcN8iSjhhO6eHS2sdvhR48ttdqKhrmmqapHi/04vJ9t6Y2C4ct43ohRcy9nht9GEQrNPpg83Te7UnvmrNybS8D6vJHiQiImqpVAfQ7r77blRUVCA9PR3XXHMNrrzySsTExPhekYiIWhTldLfp3+50eV4Z+FLeaMVEhDpUJLeI6oqwz16eiwdVFvH2ZFVuMVblFtuDe+NSk5CVX4b9J6o1b8tTvar4qFDceF43PLdij0OQ6qMN+UhNjnW5wf7jUDkqGrVnU0iwBhxmL89FTESoz4BYUVUD5q45gEfG9tEtK0wZBJFl5hRi9vJch/EIUJc8OKxnPLYeqvD4vNrsnqYMNM83+3I9vOzD5fZt+huglTOT7l+Y7df6sr5J7j8PdWinLgDhLvtI/lULDTFihFO9PACItGWHRoa6f17ZRECvwKsyW2tVbhH+9Z01k0llw1gAwDhb0w/5JYvzEHz0NQZPnK/j99cdxLIdx+1BMlEEHvgiG70SozDnuoEugUc91Ns6jNY0mFV1yRUlYOuhcrevo178CqKqPC1asucKSmq1jICIiKhFUT2F8+DBg/jll1+QmpqKV199FZ06dcK4cePw9ttv4/Dhw8EcIxER6cjXzZxk+zd7ea7D1EmLKDkEKkRJUnVjXlhZj4Mn3deB8iQ6zH2NnqLKety3MBvDnl+FKfM3Y+7aPE3b9UaSJHywLt/leGoaLLhvYTYydh53eLw4gAwteereN38cUbX8G6v3ITOnUNdpXsqglqfpfWputuOjQr0Gz7SwB3cF+LzZX/T7YfuHGC/9FlSJ09A9Uq3MnEI8/vV2r8t4q70leuiiKQsPsf6OeAoIy7+qBkHQLfAqTxMFrJ1cT57S1kFTeaxygE9L4wHAe8F9T9exsmFDRJj1qomNDLV3etVTZk4hZizZBQAoKK1VXaNR+Rp5qyfpL3+CqGqzxZqaqvi2eMthXY6HiIioOWiqgTZw4EA888wzyMrKQl5eHq6//nqsXLkS/fr1w+DBg/Hss8/ijz/+CNZYiYhIB6LKm5fCynoUK264LJLkEHyziJLqG/Pc4+q7NA/pFouwEPd/nuTda73pVqOizuw1YPPQl9uQsbOpHlmnGHU3jN4s3X7c90I2s5fnYljP9kiIDjzYM/eWIfaMukCn97lrROHMV8dPmZxddrKqwefNfllNo/169HcKpxxw8ed6io8KRVKsNaBpdkrBkrdbVOU5AOGr9pZyCqY7cj1CT1OMlcFufwKvAqw1vG4YZq11e1m/jtgwfYzPacfeKI9Vfu1iI30XtHfm7n1HbTaswXbmG710TvWX/Xqq0349ya9Rxs5CnGf7gkCuJznypZ/dNhTRwp8gqtrrxmgQMGtSf1XLam1OQERE1JJobiIg69KlC+677z5kZGSgpKQEzzzzDAoKCpCeno4XX3xRzzESEZGf3GUyWDRMd6tpNDtsSxkssUiS6hus3zXcMMVGhaE8CAGyQImSdeqXfCN7Xs/2iA87fZkUhZX12HqoHNcO6RLwtsamdrb/v7/T++IjQ/DY2D6orDP7XFbtTbMc9KlrdB8U8rieH7GQQAOH70xpKuSvDA6q3a5z0X9nko8MtIhQOYDmPQNNEHx3oXQmLzdrUn+c3ck6PbV9dFhAdfgGd49zOFb5tT7sx5Q+d+87vsYlZ33m2bJhTYGmLToJ5HqS67rNycjFA19ku7z/FVU14D6nhiJaaQ2iqqk1p5Seloz/G9lL1bKns+MoERGRnlTXQPMmOjoakydPxuTJk2GxWFBWxm+WiIiam7uaVgnRoWj0kLHiTp2paVlRkhw6eEqShOEpCYgON6Kmwfs229KEndnLc+1F/a/rJeLjfdozaPxVVFmHpdvUZ615ogw4+XszW1Fnxs6jFaqXV7MfORDVLkLdxxO5oYCWoLAskLpgMeEhuFAx/U+ZAad2u69OHoSRfTp4fF6OyXnKQAsxWANoNQ1mtw02mjLYHGu9qalrpyysv2BjPoCmjC1/r5c9hdWwiJJLBpra7p2A+9p9MrXjqm6wBnzNOk8jDOR6qqg14aWVuZi/vsDrctO+3mF/79FKa8MMfya2xqqsZ6cM5jWaRXy+qQCHymrRMyEKt43o5TEDmYiIqLn5FUDbsmUL1q5di+LiYoiKD42CIOC1115Dx44ddRsgERE1UXZJ7BTTdCOpfGxYz/aY90se3li9z2X9shptmV1hRmXTAMcaaHKwI8AGmy56JkTpu0GdydlU5/WIxaBECTef1w2L/zjqsExyXAQmDUrG++vydd13WU2j5tfQnczdRbh2iHVqXiB11X7+86TqZdXsR76+eiRE+bzZj40IQWSYAagBLH6koAWSBXP5uZ1gNAhNATxFMEbtdktqvAeOmmqYuT6XmVOIZ7/fDQAwWSRMmb/ZoXsuoKihZltH7kLpHFRPjgvHvyamYsm2Y1i9pxjXD+2K/0weZA/SyMEMOWPL3+ulwSzi4w35uGtUim3b1vF1iY9UvQ0Jnqe8qh1XQnQYAGs3XHeBR38FmlXlK3gGALWNFrz98348Oq6v5u1rbZgh15pT29ggM6cQb6ze73M5ZWbbnIxczF+f71Aa4PkVe3D3xb3w9ER1U0KJiIhOJ80BtBdffBHPPPMM+vXrh86dO0NQfDMqeJpnQEREAXOXUSZPIVPWcFLbOVGNakVmmWsAzRq4q9U43c6XHonRiIsMRaUfdYQCIQjqg4HWm+VYAEC/pHYOzz18+dl45HLrDe5324/jhJc6WKrHBmvmTYLKro6+TPtqOyJDDUhPS8awnu1hEHw3l/A2Nl+reiqU70wORIUYDT5v9qvqzaixXXvOs/HcBZqdgyT+BIIiQ42oM1lwTnIsLKKEWtsU593Hq3BpP2tQTe12fS3X9LvmOG5P3UmV3XPT05LtL4rys1l6WjLGpSZh9CtrcLS8Htf0tOCluy5BRHgYNuSVAgB6JEQ7nCv5/4+U1WJTXimG9WyvKZNJ6YWMPfh4Yz5mXp1qv94mDeqC+esPqrr+4r00e/CVYSXA2izirZ+tQZ6KOpPbwKO/9Gzw4c17v+bh75f38Rr083b9x0WFqq75pzYoKE9fVUMe9ZyMXLdfMEiwBhMLSmsx//bzVW2ztbCIEjbsPYkPNhxEVb0Jg7rF4+mJqfaOukRE1PJpDqC99dZb+Pjjj/HXv/41CMMhIiJ3PN00u7sR0jMh7HBZU30i5ymcoqS+iYCzduFGnFIE55yDMNcM7oJPNx3ya9v+0pJJp7xZNjkVkO/dsR1W5RZh9vJcXYJngPXcDO4ej5IAOn86k6eibj1U7nfwTB6bL56yhpzJgTCjQbBnTP3zm52oqndfZ00OuH295QiG9WwPo0FAxs5CPP3dLoc6Ukmx4Zg1qb9DkEQOuHibdhcTYUR1vQWDu8dhevq5+HrLYSzdfhz7TlRj1Mtr7Ou+vmofvsw6jJlXp2JcapLPAFNCdCiG9Wzv9VzIATTlafNVKF9A0+sqwXV9wHpuYyLCANQjOaopQNZUM61p2cycQryU8ScAILew2h5wmjQoGR/4mV0pB/rkoEF4qBH3XJyiKluzstbkGCR0Oi5P01Tln929X7oEHv2kdYqkv+rNIjbnlXqc/puZU4iZ3+92mBrbOSYc1wzpgg/W5Wsam9qgoJbpq+W1Jvy2vwQfrPf+eq/KLcbyHcdx9aDAaz62BJk5hXh48XaH5hW7jlVh4e+HMfbcjvjwjuHNODoiIlJLc5EBg8GAkSNHBmMsRETkRqDFzgNRb2r6sG9tIuA4Ln+zLqZc0MP+/7ERoYhSfANvESVEhAb+jXx8VKjmOj5/vain2ylzMgGu2VTOHSC3HynH/Quz/a6H5MnKnCK8kLHHr9pEzuSC6nKWSqDuGtkLsW7qlrWPCsW7twxBXGSYQyMLT+SgkdEWxUlPS8bfLz/b5/6/yT6KkS+twT2fbVFdhN1oEDBpkPeAycBu8QCA5LhIjOidaP8dXJJ9zOX1lQMxq3KLMPPqVACe60iV1Zgw+pW1XovCN03hbNqK2kL5WflliqCo6yiMtk9/ypdCcgrYeeooWVRZjw/W5ePeS1Ls0yG1kHcpN4oQBGDGhFT87ZIUr797ynU9dXWVg65JcY7vS51jwz1mr/naplpyAO902Jjnfup0Zk4h7luY7VJX7kR1A97XGDxTmzUKaJ+++m32UVVfWDy9dFdAr0lLIb8unjq/rt5zEpPmrj/NoyIiIn9oDqA99thjeOedd4IxFiIiciOQ4tR6EiU4TOEUbU0EtHT3k0mK+4hQo+BwYzd37QG8v+6gw/LxkdpLdv7jin6a17mifzLenjLE7XPyMSqzqUQJyD9Z47DckuzjQQ126rlteYpXoMalJuGHhy92eOzhy87Gv/+Shme+340p8zfjkcXbMWX+Zox6eY3HwJF8s2xQRFKOlau79ouq6rEqt9jrMk8uaboht4gSlu3w3tUw51gVgKbr3tvNvDIQMy41yW0gx2G8toCbp3PhLiNMbaCiuLreaw01o60BgfJ23l4zTRB8ZroBwLIdhXh98iAAQHJsONqFq/8dlRTbkQOEMyak4s/nrsRtF/bwuJ68rreurulpydgwfQzibAXtX7puAF67cbDXaYu+tqmWHMBrF+74BUCSlwCeP/4oKHd5zCJKeGTxdt32MWlQsuracFrfQ45WqOu8WlVvDvg1aW4WUcKz3+3yudzOo1X4fvux0zAiIiIKhOYA2hNPPIG9e/eid+/euPrqq3Hdddc5/CMiIn0VVTV/8AywZlo5NxHwN+tC2QFPlBxrq1W7ma5XUed+Cp83I3t3wDu3DEWoUd1NoJxxcUX/JLfPd44Nx6Nj+6DBLGJTXilW5hRhdrYR/8t27Ip5umu3BSIzpwiiKKF9ADf38nlzDi7tKqzE37/chrKaRofHC70Ejiz2DLSmx2oatL/2nlTUmrDZVutLTWBafi3lQzt5ykfhfzQFYtLTkvHrPy7zGFz2lfnUNAWzaQta6qs1BcRcn5fPr2MGGuzLq81021tcDQBoHx2OV28YqGpszpQxmrAQA87rFXjWk9Eg2IM/Q3u2R4mP103NNtVKT0vGLRf0BABc1q8jvrznQmx88nLcdF63gLctyy2scrlm3lq9Fw0eMpz88cG6fK8ZkkryFylqGASga7z6RjFFlXWql22JsvLLUHxK3d+Ef3yzs01k3BERtWWaA2gPP/ww1q5di759+yIxMRFxcXEO/4iISD+ZOYV47ofdQdt+opcpWAKA8JCmPxOi6Jj9JH/Ql7Mu4iPVB2EazE31z0TJe2aPv9buLcZzK3JdapR5ImeWOS9/bnIMHhvbF4CAN1bvt2dSPfzVTlQ0ut9Wa7Eypwi3fvQ7Gs3+N4L410T5vDnevK/10qFTgvvAkWj7WZn5EuNmamggNh0sAaAtWCJPb1ROafZG3vbWQ+VeMwa9ZT65+5XwlfGpnGLc1ILAdekQOQPNoaah9b8GQVB9bsprrb8ABoP1feC9qUORFKut0YXBKcKnVxMGs+161LOxg1ry9dI3KcbexdJXtqMWpxosDteMRZR81hTzh9pprWqmQ8tEyTFA7otzAD6YGs0i5v2yH+Pf+BWXvboWTy/ZaZ9q7C8tX4A12urbERFRy6X5U+mnn36Kb7/9FhMnTgzGeIiIyMZT4wA93TUqBa/8uNflcfn+5qyO0dhTaM0ysXbhbFpGmTWWnpaMyjoTpn/re6oKABRVNN1UOGeg6UVtVzgAmDy0q72AuLs6NW+u3ufhdWgb3adrGv3PXGlvC8JqvdGUA0dygAFwP4XzrI7tXNYNhHwNawmWyOuEqbzzl7etZcql6z7lc9H0mK9C+YBiirGb9WUGdzXQFE0H1J6buIhQ276bataNS03C5rxSPPiFa/005Vg9/car6aaZpKI+l3xsRkHQvE01XVy9kTNsQ2zrBGMavvKaycovUx3cVUsZ3B2ekuD1fGTmFGpqKvHzn96nWispG9kEk7uuoPkltViUdSSgIv9lKrMfZRvzTnpsEEFERM1PcwZaQkICevfuHYyxEBGRzelqHPDxBvc3PUlxEZg3dahDkXCLJNkzK+QxKlk03L+damyalidJ7rNtTodB3ayZ0306x9gfqzM5BoLyimuapYFDa1FcXY/MnELc+uHvmtd1np7l3EQAaApC6KV9lPWaHtazvc+i9fLT8rjifGRZOjeZCCTzyV0TAcBzoXz5d1YOBMu/U2oz0CTF8moz3fp0bmcbY9NzRoOAkX064KXrB7hdX35Mfl0NTi+Ct2nh7uoQeiI395Cnc3pq7OC8zcycQox86WeHun0DZ/2IN1fthUWUYBElbMor9doUw2yRMymt51mPqaHOlNdMMKf5/7S7EOc9v8rhfIx86Wf79E5//lZVeuiq687SbceCPq3RXfBMKZAi//FR2hptuKtvFwiLKGH93pN4dPE23PvZH5i/7qDHZgZEROSb5gDarFmzMHPmTNTWnp5vhIiI2iJfN2Gnq3FAqYfpMf+aeC7S05IdxiWKjplizjMj603qb4rCjIqpoZKkqiNbMHSMsU43k2tvZeYUYtLcDQ7LNGqJDJ6BCkpqcd/CbJzyo1aZcnqWRZTstaryS2rs154cPxrQNVbz9EB3Othe862Hyn0GbuWn5eUkRfjFVyAGgM8sKXddXe37lmuYuVlPLpQvdz79z/UDsWH6GHvwzGF9NxuQg1bumwioD2LJPwludmKf2u1UX08O9MmBQXdxMHndju3C3a6rPE5P5OsnxNiUHTdv6lB09hJ4lLslFlU5Zg3VNFrw5s8HkPpsJoY5BZPcNcVwzkDTa2qoLD4q1OGa0ZrlpMWC3w557Wob7L9VwW4k0GgWvQbPZP4W+d+UV6Jp+Z1HK3ULGGbmFGLArB9x24IsfLf9OH7KPYEXMvag7zMr8cKK4JWGICJqyzRP4fzvf/+LvLw8dO7cGb169UJoqOMHo+zsbN0GR0TUFmXmFGL28lyHm47kuAjMvDrVfmMYjIwFwJpB46vIvQDguRV7cEVaMkTFHbbFKdAlOn3IP+jUjdIbsyIopfZmIT4qFJW1Jl2zwUJtgTxRlHSfMpsQFYay2lZeJM2HpNhwfPH7Ib/XT7AFSJx/J95fdxDLdhzHzKtT7cGZDu3C8d2Do9D7qYyAxny41PoFoD810OT/3nZhD6zeU+zwO5zk9DsMWANRIQbBoWmGzFc2lbImmTtGg4CIUCOq6s3o3zXWZRv2DDQ368uBHfdNBBwDTk8vzXEItCuP86fdRbYxuh0i0m3vIQ98kY2UDtF48doB9ul/orTN6/GlpyVjQNd4jHx5DQwCsOjuCzVNpZTPuXJ5eYpp32cyYBGBd24ZgvQ0a7dJiyhh2tc7vG6zwSy6FOovrKzHfQuz8Z4isGexvXHKwTtfU0i1cj4DWrOc9PLkkl2YeXX/oO8nmI0EZizx/po7LrsLVw3sovoatIgSVuWe0DSeelsdtECnccrBYE/mry9AQWkt5t9+fkD7IaLmEWipAfKf5gDaNddcE4RhEBGdGTwFaYpsnQnlTAi9MxZkd17UE2/+fMDrMnLtmzdW7UNFnWOGkPKGWxn4kv+Qq/W7YpqK2vpnN53XDV/9cRQVtfp1uQyxBdBMFn2nzCbHRWDFwxdj6HOrdNpiyzTq7I74Jvuo3+snxUb4/J24fYS1o6EoOQZqOsWEo7i6KfPGW10tpcVbDuOhMWdrrIEmOfx3YLd4zJqUhts++h2/5ZVi6oU9MHtSmtsPr9YAkYSO7cJw8lTT71Pn2HDMmtQfY87pjI/WH8Shslr0TIjCbSN6ISzE4DWDTCbvz30XTyt3q8tBK3c1DZWHkJ6WjOS4SPzlnY2IiwzFe1OHOXxI9xXkA6ydNQEgNjLUod6d6CXDThYZZrTvR8vNgSg2BftDnIrAGQ0CwkOMqG20YEDXePs2//vzPtQGUDD+ySW7MC41CUZFwFQOVHqrXeeP8lqTQ/1ArVlOeqmoNaGkOnjZb7JgNRKwiBKWOHVR9qa20eJSt9GbrPwyTdNVZZsOlgQUQLOIEv75je/A4KrcYizfcRxXD+ri976CrdEs4vNNBS7vj0TuNJpFfPpbPrYUlCM6zIjrhnbDRWd3aHOBpcycQsxaluswfb99VCheuCYNEwa23N/ntkJzAG3mzJnBGAcRUZvnrVaMBOuN5OzluRiXmmTPWNB7aoyv4JnS3LWOy1pvSptGX1HbiE15pSivacRT3+3yO7Dl3PUyOtyImgbHG9l2ESH4YF2+7rXIQm0ZIkfKa3U91zOvTsUqW3ZOWyYHOPyRHBeBYT3bY/Qra73+Tny/3XqDa2020fT8iocvxp0LspBzvAoPXdYbqclxeOAL31nwysLovgrLx0WFoqLWZA/GKANGRoOAzrHWIFzPhGiPH9DFptQulz18m30UDyzKdjiuFzL24J6LU3Bpv8621Tx/8PcaQHMTEJO5zUBD07EpyVmaYSEGl8BB0z48j1HOwjI7TYW2B/hUBN8A642R2utNmfHn7nWxHpPFPj3bIkqYv+6gqm17UlFrwtw1B/DI2D7218OoCN7JGX2zlu12mSLqDzmD0p8sJ1/aR4W6TNv0pLy2AfG235NgCVaG3cNfbtX8N0VLNpy/tem0zuC0iBJ+21+Cb7cdRW2jBR3ahaGqXl0w+J/f7MCEAcktMsDwwopcfLgh3yHz/fkVe3D3xb3w9MTgZz5S6zInI9flc+LS7ccRFWrA6zcNVjX1vzXwlF1aXmvCA19sw9+OVmDGBPclGEgfqkL4UnMVpyEiakN81YpRdj2TMxZa0kfaepMFJxXZBscr6zFl/mY88EW2rjdPt1zQA9cMtn6D1qdTNACgpt4clEL+obYb3K06Fm7+y+AuEEUJM5aq60gaTLeP6InocP+DXL4E8vng5vN7YOuhcp+/E8pOjspAUZjRYO8AenanGEwYmIz/G9lL1b6Lq+tV1fmaPKwbANcMNDkuIsd+LF7Og7zOSadMnaKqeqzKLXa5WRYl4P11+Vi02To11tt9bYjXAJo8RtcNOGeQWZd3n/FmX9bNPkRPsUGHMRpcxigppoN7Oz5lM4mNB0pUT/dWFknPPlTusl6oPfPUulxWfhlqdehiuWBjPhrNIk7YAidHymrdjFmfd3U5g9LfLCdvtNTgOh0NYIKRYddoFrFil/bAY4mGenMb95/UvH2gqdGJGu7qnH2RdUT1+nUm65TRluaez7Zg/vp8l/qoEqzTT+/5bEuzjItaJrkRiLu3o1qTaK/Z2NpZRAmP+yg18P66fGTsbP3H2pKpCqD1798fixcvRmOj9xTq/fv34/7778dLL72ky+CIiNoStTWX5OXkjIXoALJ89GSRPDcd0JMAAcnxkQCAQ6XWb/uDdY8mZ8ccKvO3MY6EMKPjDbEkSnjgi23N1llU6ZykGNx4XncAwJDucbpvv11ECOIiNSezAwB6dYjSVIfMmoHWdFINhqbgkPz42NQkVduSgw/23zGnIKNcWH5oj/a27TeNAWjKuJIDPJ4CDs7TnrVYYfuw7y27Sw5uuauxJsHzFEl7UEzxmFzv0DngZs9ycxMkdD4faseo3JSndTNzCnHZa7/Yf777sz/cFux3t97lrzetd+cnW1zWCw9xDKDpVXOyos6EC+f8jM0HrdPZP/mtwL5veaqyHh0zlY0nglEvs0pDQO5UvTmo2WcAsHpPsftupyLw0cZ83PvZH3hs8Tas33fS3il14/4SvPrjn3j1x71ug6+fbyrwayxbD6v7siWQzMDjKrPc5EyUQKYeA9Ypo2pZRAm/7inGlPd/w4Uvrsb413/Fe78c0LWz5w/bj2FVbrHXZeTpp8GgptMutRxqG4E8uWRXq38t3/55H2pU/L5P+3p7qz/WlkzVp963334b06dPxwMPPIBx48bhvPPOQ5cuXRAREYHy8nLk5uZiw4YN2L17Nx566CHcf//9wR43EVGro7bmkrycRZSwt+iUqj+WbYkoSsgvsTYkCHYHTG+ZM2oN7BaHPw5V2H9es1d71kFchBGAgMp6M4Z0j8O2I5XoEheB4wFOK807eQpm2xTZTrGRACoD2p6zQ6U1qKzzL/tFa50/UXQMVBkNgj17SX64vKbBa40pAdbgmLKDYXpaMrYeLsf8dfm4rF9H3HtJb3u9LTnoImdnOQeZ5OCQp0y8QLoHqknu85YdpjkDzUPAzR5Ac267C9eMPHfkadIOHX0VB+fud1BtrUh/1huXmgSz7YXcdrgc/bvE6Vpz0rleV5GtyUB8VKhuXwRMGtQ05S5Y9TLVOlLu75cP6lXUmVxqj72UuRcf/W4EsN/+2FLbdG/n94C5aw8gLjIEL18/0H7dFJT6N+5f/rQG6XxNeQwkM3DZ9uN4ZqL75iIyiyhh5vc5fm3fmdr77OU7juPRr7ZB+We5qKoBL2XuxUuZe3GPDlMrLaKEx77ermrZYEw/dVdbql24ES9dOwBXDe6q2360CGaxeOfpv+f3SsAdF7WuOnNqG4FU1Jp0adDRXCyihHm/5Klatt4s4u2f9+PRcX2DPKozk6oA2uWXX44//vgDGzZswFdffYVFixbh0KFDqKurQ4cOHTBkyBDcfvvtuPXWW9G+fftgj5mIqFVSU3NJvrm3fojTp1ZOa2MWJfx24PQUxT5wojrALQj2AIHsVIO2m6ZhPeNxrLze/oF92xFrkMskBh48rKg1ocxWuL7RrH8g9vd8/6e+ltc04oq0JNV1yERJcsiCMgiCohi+tYvqg19s8xqkkOC+66VkO9V9k2IcbtIFp2L7cuBHzjwT7Blo7vdXrEO2kffsLutNjrsMNG/TK5sCf67LO+/PnmXnJqIneVjH3b5MipOk3JJzgE9LrUjl66hmvSeX7MKsZbk4YXtfnbksF+/9ehBPX3mOLsX93ZG3qWeW1rIdhfhn+rkwGgQM69keBuH0TKV0Z9vhitOyH2XtsXs+22LLUHJ/3bk7FZV1ZoduqYdK1XeNVlLbJTOQTMPSmkafzQqy8stwolqfjPATKsbadM4906Oz59s/74Pa2dTy9FO9AiKeakudarDgocXb8f3O46e9a2kwA3qZOYWY9vUOhwzGn3JP2OpwBh4MbTSLWLDxoO26kTA+NQl/HZniNjhX12jB8yt2Y+fRSsRFhuKei8/CqD4dXf5WOzeVuOWCnvY6qWoE2qDDX3WNFvz7hxxsPliGMKMB1w7pirtGneX2XHg6b1sKytDg5ossTz7ccBB/v7xPi6xv2NppmncxatQojBo1KlhjISJq03x1YpMA3Hx+d7ywIhcfbyw4/QNsIQor605b1t2phsD3U9cYWKBrqyJ7TemkDjdHK3OK7B+O1/qRGedNeIghoO54z63IxRVpSR5/J+SPfDcM62avhSN6yECziKLqLqrfbz+OmIhQXHhWosv0whCnD5oGpymiznW7bKW0PNZA6xATrmJE3nnL7vJaAw3umwhYRAmltnpsxXXWn0PhemzO+3e3DzUddN3VQHOYiuu0Py21IpUBBjXrWYNYjoGsosp6PLR4u8/jaEmUx7/1UHmzThevqjdDENRlTAZCfq9RM73PmyeX7MKYczpju8qpmO58trnA5014oN1JfU3N1WMqsOxn2xRZTzfaL6zYrfqcB9LZU0uGjWxj3kldAiIWUcIjPt4HVuUW44UVuXh6YiosooTNeaW26a8CRvROdPibonafe8oFrPlmJ+pMkkv2VzADep62LfMUDFWbsSbXJFP641AFXlz5J/52SYpDkfu7P92C1Xscr68NB0oRZhTw3ylD7Fmjz/2Qi483ONY5e27FHi2Hjf3FpzQtr4f/+2QLfv7T8fjkrE3nc+HtvPVKjNS031MN2roGk3r+FS4hIiK/pKcl495LUvCBm3oNAoA3Vu93XekME2g9Fy1MOmRlyRloYUaD7lNOA80sCea5HHNOJ6zM8b/TqBwEkOuQzV6e6xAASYqLsBf5n78+35qBpgygCYI9e+ngyRrVXVRX5hRhZU4R4qNC8dJ1A5Celuy2ayIAlymicuBHcKqB5mkK57CegWflC16Kzhu81UCTM9AU62fmFDqc580njbj0tXWYNam/xyYCcgDMXbBMTQaavQunyhpoWmtFal3PWWutEiMfbzBqoGl1OnqNJbQLh0WU8MS3OwPaTkWtCZ/+VoCqAL48Wfun94ATAGw95P/0bQDoEO09+F6moZmBL+6myMoazSLmry/QtL3Hv97u19TKzQdLNWXYAMAfbhoA+TPl8a1Ve9Ggoo7bhxvyMbBbPP71XY5Dg5u5aw8gNsKI/0wepKrbozX7aztqG40ArH9HldlfT16ZiieXeG9EpAzoeeN8Pob1bI9/fuN72qNzMFRtxpq7IJCS/NyMCamYNHc9dh6tcrtco0WyZ42++8sBj8tpIde003sK7P+2HsafJ04hNiLEIdNu9Ctr7LV83VGeC1/nrcDLdjxR0zW4rtGCFzNyUVBai16JUXhqQmpAHdbPBAygEREFkfKDS0JkGL7bcQzfZh9zu2xrvZHTW0TI6fnDbRD8r4OjZLFNtQwxCmi0WDOz1HwQV6Ol1oBtFx6CPwsDr6embJgxLjUJl7/+CwpKajE9vR/uvaQ3jAYBP+623lwop3AKgjV4JH8GrqzTPj2uotZk/3Aub9c5A02O7cjBJXk5eTGDlwww63KBf0j3vwunY0DMU32wE1UNuH9hNvp3ibUt75SFZ4spup8m6j7Lzd0YzYrgsrcaaFprRWpdr62Qj/dMOe7DpbXYfLAU9Tp0S92cH1iJgEaL5HXqoEWUAs/49fHWEa+hU6canm601daXUmq0SPjrx78jMiwE0WFGXDe0Gy46u4PPoIU/jR12Hq10CIhk7CzE09/tQrliynT7yFC8cG0aJgx0nxVnESV8sOGgqv1JEvD3L7e5fa6q3uIwTdgTNdlfWw+Vq5r2PX99Pv5xxTkea5a5mwIaHWZAjcrMebnO3KrcIlUZa+/cMkxVQf8P1uWjb6cYVUGxh77Ihl49KqrqzX5lZbnLvEuKi8D0b3e6fFEpZ4z1T472GjyTfbAuH38f01fVedPKV9dg5+y49fuBzzcfhlEAzuoYjeuHdvM41fRMxgAaEVGQZOwsxDPf5wQ0ze1MlBgThshQI+pMgWVP3TCsG1bvOeHwQRoABnSNxa5jVRAEaP62250y2/ZDjQYAFt2CZy1Zn05R2HYk8G+DlTf/RoOAqFDrx5L+XeLsN0RyEEpCUxF/ew0y211mu3D/P87MXp6LUWd3sI9BybnLp3OdMIOX+mDK9QKior6Y+wCavLqgqj6YPLXFpYmAPcvOGpRTBti01EBTm4GmpVaklvWak1zLr9L2XhHI+JyPf3hKAuJtdQLbssVbDqPRok9G7b6iQGtfeq+ltPlgacB/B3zd+G7K07dOqLv9WUQJS7L963S5/kCp/f+Xbj+OyBABb9w8xGNgySJK+HmP9q6lypp0njJ4yutMeOCLbfjb0Qr8M/1cl0DIOUkxqDfp967x4KJs7HthgtuAoUWUVGV/ZR9W/wXVjCU78dqNg10e9xSoUxs8A6x15l798U98sM53gHFVbjFu/XCzqu1KAP7xjbpsUr0/Uh0tq8H7R8uRuasQRyrqEBMeiot6J+KZq/q7zbzK2GnNFqxXDOQnFR12dxeqq7MoAZjywSbV49di6+Fy3OPhOW/ZcRYJ2F9co2uDkLaEATQioiB4YUUu5q/X/9uktsLb1EQBwODu8dh0sNT9Air17RyD9P5J+L/P/kD39pEY0TsRX/9xFO3tU2P0KRsuBwOcs5faIqNg/WClR/AsMTrMJQjSlNHUdC6V0yjtGWBycM32pWiPxCgkx0WonsapVFhZby+i7akGmvway1ld8o2Ru2L8SoHEz6LDjKhptHjN7pKDW2Y3DSeUTQTU1AeTb/hdmgg4FeoPUTTNcJ7S6o68vQaTBZvySjE8JcFrBpq3WpHyou4aQSjXa06exvzSdQMAwGWqslaeGmEE4nTUMAuUPOVbD2qK5vviLTt4U15gf7sA71M4LaKEVSpu4LVwd6P91qq9ugWj68yS1+yszQdLVTcPcLZgYx4q6xp9ZvC8vy4fC347hEaNgRCtLBIw+d2NmDaun0utsC0FZaiq17e0wvfbj+M/kwe5vFf7qumm1rxf1WXnAcAWN1NqPWmurxr/8a3j1NiSUybkl9ZiUdYRjD23Iz68Y7j9OV/TKvWy63jgn6nc2bC/FHWNFnzx+yF744XbRvTCnJW7VWXHyfRoENKWMIBGRBQA5RTNDtHhgAB8uD4Pa/eeni6SrVW78BBU1bvvVimKQHJchH05ZVdLLTd6JlG0f/hPiA5Dz8RoAE1TyfQOd+mSbeSkc2y4vWNgS9A5NgLHA7j5V3ruL2mu3TDdFLJXTqOUmwg4d8GEZA0qeJti4k1to/Uacx6P5xpo8vPep3BKittPrVN75UYaauqLua1PZtu3AG11spybFjjclEmSwwdH0c3rpZSZU4hnv98NwDqta8r8zUiOi8ATV/Rr2p+b4/NVF89TFou83jPf5aDkVFPmb1JsOOrNIiprTV6z2v41MRUzl+3GST/rSw3rGY/jFfVexzwuNQkPLNqKH3efwMjeidioMdgSHxXq8HNWflnA2WeSBMRGWN+To0INqNVhmmQw7DxSoct29CgN6S0Id6A48Aw3b3+gsvLLUOnh76e/Nux3rA1lESXMU5F1pNXDi7djz7+TXN5rfwsgo271nyVY/ae69RtPU4b4tqOVuG1Blv1nuVaY1kLwaphFxynFjWYRdy7YfEZkw+tt9Z6TmDR3PZY9dDEydh4/LcGzYDrVYEbqzEyHz81aGy/IAmkQ0tb4FUATRREHDhxAcXExRKdvPS+55BJdBkZE1BIpA2YFJbX4Muuwrt2wTrfocCNqdOhEqSdlrauHLz8bL2b8CQB4f+pQmC0SHvxym6rcMZNZbMpoMgj2G3V5Kpm7mk7aSThUZv0WLxhTqKaN7YvpS3ZBABAeatCl/k8gwkP1qU931YBkTBjoGgRxl9GknEbZVOzfcQqlKFmDJ+9NHYpHFm/XfOMQYmun6TkDzTaFU3R8vKkLqKcpnE3//8rkgXjYn4wAD4FZiyihqt56ze0trIZlkGNhZOV0Uy11spybFjhnNSi5yxiUeaq5VlRZjye+bprC5ClOINfFu/SVtThSXoenJpyL/xuV4jPzKj0tGclxkfjLOxsRFxmK96YOw/CUBKzKLfKZ1ZaeloyUjtG48q31XvfhSfahCrxzyxDMWfknjpTX4ZkJ5+JOpzEbDQJ6JEQBAFK7xOJgSY2maaeVtSbcvzAb82yZPHo1EYgINaKq3txig2eAPlPu9eKpc6W1/pn/XUJl3qZwBqNxxKkGx9pQmw+WwhSE891oFvHWqn2YpgiiA8AWnbILWzp/CsGrIXeGPV0ZU23ZzqNVWJp9FE/8T3v9v5ZIz+925Zp4emZAt0aaA2ibN2/GLbfcgkOHDrl0nRIEARad6hOQb3WNFjz7/S6s3GbAE7//BEGwTq8xCNYP+WbF9I3meLw5980xtZIxATBbDHgy66eWMyZBvik2wGiw3lREhBohCAIEAThaXq9T4KVlmDy0Gz7ddKi5h+FAlJqCW2FGg32655Ae7fHHIev0ADWvwOGyWvRLigFgvcEXBOtaJ1R0JVKv6UOE3ldFx3ZhuKRfRwDWTKOB3eJ1m8Lkj86x4bpk7UWGGvDWlCFun3NXlN4eJBPdFPEXHNdLT0vGTeeX4rNNhxBmFNCo4gbQIABxEdaPQ0ajY/qV4LR954BR0xROTwE0z1MV1XIX4HbupvneuoP4fsdxx+wsRbacmrpiobYuss7jVAbHnANokj1A7biOmppr7rbvzGgQEBsZCpTXoV9SjOoP7fJ+24WH2AMCarPazJam8+bPjcdzK/YgMtR6QgZ0i3M75lDbdWYWJc3TTuXzN3t5LsalJp0xTQQiQw2oa0HBPU+dK631zwL/a+Dtde3QznuHTn8pGwkEkhHmy/wNB/HIuL4O2W45xyqDtr8zwbp9J1k6REePKb7koSZ1JhG/7S9BSIgBhRU1OFhprbEa6nvVNkVzAO2+++7DeeedhxUrViA5Odlr3YtgeOedd/DKK6+gqKgIgwYNwttvv43hw4f7XrGNueezLViVK3/Dxc4Y1JoZEGCt+CCxflCvahABtN3izP27xCE1ORa5hcGpv+CJtxikw1Q9g4AQowGNZhEmUdIUvKyuN9v3U1lrwjtr8wDAnjHWkghouumfPak/Zi7bjYgwo0MWUa/EKGTllyEmPATVimmtcq0sNVMEQ40CTBYJV6YlYWVOkaYxNphFnKhSVxTXmzduGuwxEGKfwql4XhkkEz1koLnbxr2je+Pj9Qd9ZtSIElBSY/0d95SB5jyFsymAZ7sB9BBpUT78woo/vY7DE5NTpr+3zC5lZpL8vEEQVNUV69UhCvtOnHL5XOeQ1eZ0KpvqrDmuo6bmmn3/Pj5GNnUaVR88UXbGVZKz2m54bxOyD5fjnotT8OSV5zocY4PZ+gfJn+CZBGutrs6x4W73L5M7mpksItLTkvHOLUPx2NfqMyfl/WTll+nSPMEgAMXVLWequDstcTqau86VetQ/A4Byb82HgvQdnrLhUTAzwupMokPwMSu/rEVnPrYGdSaRwTM6LW5fkKV4CzLim9fWYdak/l47z7Y1miMv+/fvx4svvohzzz0X8fHxiIuLc/gXTF999RWmTZuGmTNnIjs7G4MGDcIVV1yB4uLAU6VbE8fgGRGR/0RJQkJ02Gnfr7ui5zKLKNoDZUaDAaFyFz+LaK9fpkZ4qMEe8Dhw8hSqda4Zoyf5w0ioUcCg7vEArMEKOWAkB0EAYOTZiejYzvqaPTXhXMyeZO2MdFbHaK/7uG5oF/TvEgsA9npwzgyCNSDnjh5TVM/r2d7rhyz7FE6HMclZXk2BKvlcOGeIAU3Zi6EGgzV7SQW546trDTQ5gCZnoNkedwrgeboslZlp/k71VraP95XZBVgzkyyi5FIXTc7ASopzzGxJigvHvKlD0T7Kek05xzaNygw0p216msKpZYrZ5oNlHqfAAoounhqmk8nLugvUGg0COsZYj7VnYrTLMvU6FMgy2S4Io3Nqno2cgWYyS8jMKcRzK3IdAkTR4eqmShdX18NoEDBpUHJAMZXWkFStdoxxEfpMM1fjow35WL/vpNP1q8/JnL08B+//mod7P/sDjy3e5rCfkprgBDsTbJltpyMjTBl8DMaUVCIKDud3uBNVDbh/YTYycwqbZTzNQXMA7YILLsCBAweCMRafXn/9ddxzzz248847kZqaivfeew9RUVH4+OOPm2U8zaGu0cLgGRHpxqKoK3U6ebsZ/jH3hP3DtdHQVJ/KZGnKQAsPMficTtixXThMLTBrwZsQg8EesFDW/JIkCd9vPw4AyNx9AidtBdIbTBaE2gIs7aPCEB7i+mddzuCZPLQ7Qmw39J6KXIuStXh9hG0K2j+u6BvwMXWJi8BdI3sBADrGeJ96JF8VjjXQ5LE1nY+mGmSOGWKAIuhoUH8rK58j1ww027hcMtDkKZzy856mcKocgBfxiiCgmswuOTNJHpIytpWelowN08fg2iHWIsAD2otYO+0Sl4w1JYNBsG/DOfBtz0BzGoeWaYVT5m/GqJfXePzwLV+zWt6n5GU9dcaVg2bOQcbMnEL8ffE21fvxxFdnXvnxPw6V4b6F2S6vqdq6lJ1iIpCZU4gPWPPIbnhKou+FdJJzvAq3fZyFATMz7dfvBTrt/0R1I+as/BM/5Z7A0u3HHfYTrGm7n2+yXkenIyPsX9/twqiXfsbDX2SjsLzlZYUTkTrOX96dCTRP4fz73/+Oxx9/HEVFRRgwYABCQx2/3R04cKBug1NqbGzE1q1bMWPGDPtjBoMBY8eOxaZNm9yu09DQgIaGpm9pqqqsU5RMJhNMptY5Jev5H3KbewhE1IaYzBaXm+LL+nbA2n3B7SLqbSpmvUnErmPW92tJFO03m/UNjWg0WbPI+nZuh5xj3qedmi0i9had3qmpgQo1CrBYrMdoESU0NFr/VtV7CAS+tmof7rqoJwDraykHjwZ1i8WOo1W4rF8HFJTUIr+0FqJogfxR5zcv04wENHUqa9AhG8coAJCs2ztUWoMN+07gvJ7t3WYHyR++RIvZ/ndatNVWFSUJjbZumQbB+rdcjlSYzRb78o225d//9aBDB1d3BFgzsKJD5UiY6PD5QN63RbQ+LjqPz7Z/k8Xi9nNFow6fNQT5WAEUVqibQltYUQOLnBYnSS5j62rLQosPk49FsDeFsjgdi0WU7NM+Nx84ifGpnZuywsxmt/sY0i0GSbYOsmo+TsvTT9++eRCu6N/Z6fitW2gwmVV/dqu3LWcQBLfryFeecps/7j6Bvy/eEVD+kHw9yb8/kuh6Xfy4+wTmrrV+EZ130r8p0fJ+BnZph8vfWB+sGX2t0nk94rFqz+n9ornWJOK+hdmYe/Mg/FmkQwdOH/t5c/IAe21QPWUfrsTVb6/HHSN66LthN041ijjVWI+jFYVYtvPMyVwhaovkL+82HSjGBSkJzT0cv2iJDWkOoF1//fUAgLvuusv+mCAIkCQpqE0ESkpKYLFY0Lmz4werzp07488/3dcVmTNnDmbPnu3y+E8//YSoqKigjDPY/thrAGueEZH/HEt45+TkoKTU4PBYsINn6ljHuXPnTphN1vH9sm49Dp0SABhhqKvAnX0lfH3QgFNmx0BMuxAJp8wCDuYX2G4sg/meac+ZCmgbEUag3iLAYjZhw4YNAEJQVVuPBT+sg7XdhnPp9aZ1F/9eAEBA9uFyWCTrMjuOWgOHxwqLcapRACAg6/fNqCg3AhBQ6yUwJqEpg2bL7v3Qfv4cx3qkoh4f/3YYAJBbWI2pH/+B+DAJ1/USMSjR8Q6wttY6vk2bfsPxXdbHDlQBQAiqq09hve3cNDbUIyMjA8eOWv8m7vnzT2ScsrZm33nA+tipBhO8vy4SJABXdKrFT8fqAQj4cdN2CEe22TPPCqqt+66pqUVGRgZOnbKOb/PmTTixG9h3zHo9Hj5yFBkZh132UNVoXR8A4sMkVDTCx5isBEgY1VnE+hNGlJaUICMjAwBwsNK6P18O7t6OAxUCAAPy8/ORkZHn8PyBI9btiABWrVoFACgtsx7btuxsiIesr8uOUgFLCgwQbdfVw1/tdHjtco9bt1N4/BgyMo447GNCkoCPq+RrR3nMrteyLc8SzyzZDlOBxWEaaXmZ9fXcmr0NwhF1EYPd5dZx1VRX2c+dUlGhdZu7d+cio3w3RAmYnW2E6wRiLazX05Wda/HVQet71m8b1uOg4uPmjlIBH+9zd068b9f5/Mn7mfe/H1FUdfqmLHp+H2oZjIKEDhW5iAs1otIEBDLWaKOEGouWbUh4aPF2RBoD26+a/Uz7ZifEoOxDwq5jlVi8dgfUvM90ibTgeB2vPyKy+mn97yjd0zq/0qmtrVW9rOYAWn5+60kTnzFjBqZNm2b/uaqqCt27d8f48eMRGxvbjCPzX5YlF3uzjjb3MIiolQoPMTrU2jnn3FT88fsRAOr/cJwe1g/JpeHJiImqQmVjPS4YcREijlYC+XvRrUsXzLhpICYercT17/+O2MgQdI2LwJ6iU+gcH41TJbUwR3VAYnQocOJE0EYZFQJEhoehtCaQTCMB9bZ4Vo1ZwLt7wwFYUG8RsPig0b6Mp3VrbevKwTOlfVUGJEaHAWjEqP9v787Dm6jzP4C/J2nS+z5ouFuoQClXUaByKYdUEPFYV1nxXlRWvNdV1wNQV8FjT3dR2Z+6u7joHurqqlUUFWE55LYUUbCASMvR0oPeTeb3R/JNJ8nMZJKmtCnv1/P4aJOZyTfJJCaffI5zz8WXn+zDvhrjzaF3noyAGKhhnP8vONXNEl75xuyTcbS0ZC3Q1IiJ4ycgr5fz/9NbDp7EH3Z/iZjYWIwryAOKNyM2JgYzZ07E//5Tgg3HDiPnrEGYeV427A4Z92/5xLVmf+uQEGM1oehoFMrrndnqHx42Y2dNJB6eORgzhvbAzsPV+E3xJkRHR2PmzEl4Zo9zfePPPRcj+yShbP0BvHPoG/Ts2QszZw7zuYVjtU14ZOvnMEnAE5eNxO2vOyd7+ft4+bsfj0BjqwNfvFmMjPR0zJw5GoAzG+xfz63VzOwSmUkLr5yEZ1d/Cxw5gAHZWZhZOMhju/2f7kfR4f2QAUyfPh0WiwWvHt4E1Fbj7NGjMT03Ax/uPopXNvhmZCmfu0EJ9cDBb9G7T2/MnJnnsd1MAPm7j+KJ979GeY2yZ5P2uVzVDKTnjvP4BfvfJ7bim+oKDBs+AjNdpaf+RO45Bny9AynJSZg5c6zP9Z/9+ytsPVGGswYPxswJWdhUWomqjVsMHVtLcowFj188FDOG9sA/f7UGaG3FlPMno7+r36DdIeOp59YCCKx/Vaw1AnWKgLctMQoPXeg8P9/dVQaUfNWudQfG+dylxFjw04n98OxH+7pU/7QFk7Jx8bQcHIzZj99/ut//DjomDMrAhyXHA9jD+dg0GMwjSImx4GR9SxDZg1LA78iBHBsAtlQYC4rdceEwPPRWCQJoT9guPROjcUSnhJ2IOtf5556DCQPTOnsZQRGVikYEHEDr169foLuERFpaGsxmM456fRE6evQoMjMzVfeJjIxEZKRvvxWLxeJTehouHr4oD68xgEZEQTp3QCo+3dv2pUCWTPihquv2H/mw5BgyRN8skxmQnNkblggTLBYL4mOc15klyf0h/oBryubGAKaIRZikgCZ8CtfnOPBZVZThAFqUxYRGP71l9LLDglFV7+yXZrVaNJuaa66lg/rgiDyCX32wFxcO7+UuCRSZbxZLhPv/01ZLRNs+ZucXuwiz8/k3u5qQSZLz7y37K/w+vkr1zQ7UN3sGNI7WNOH213di+bx89EyKdt22BIvFAtn1BTPS6vwcYYmI8LjeW0SE3bU+CReN7I2ICDOWvFui2ccswiTh+Z+MQmGeDf/c4szoMrvuKwBYACy+eKjuNM1Fs4ciKtLq7iMXYTb7rM3iehwht30mEvfNYomAyRyBX32wV3NYgXju5o3r51q3SfX+XzSyNy4c3gsDfumbBaalor7V41jutUrqt6HKdZ5bzOr7RHgds6K+/QNGHLKEiAjnYy1KkaOsVvftb9lf4RVINOau6Tn41XtfIyM+Er+7ahTGZKW4Xy+2JP3BIR2lsr4FT3/YOf2QtUgA7p7hnKg6oEd8u48XbQn4K5JhSTEWPHHJMPzs79s67DZOh7omGb+5YgTu+MfODr+tpGgLfn7BINzzz46/LSIj7i8chK/LavDuzrIODGqHl33H63H+kPCMsQQSGwqqrmX//v24/fbbMW3aNEybNg133HEH9u9v3y89/litVowePRqffPKJ+zKHw4FPPvkEBQUFHXrbXUm01YzpuRmdvQwiClPHaz2/wB08UYeW0/XzcZBOnHKuefuhk9h37BQAoLK+GXaHDKsrgFJV34JvjjqvC6aJ6QA/EyzV2BIjkZMoB5SB8eCFgwO+nfYST2+Eohm8GBLQmZQN7wW1qY6SYqiCGApR19SKDfsrIEJIYr9QTHNTNsT1Hh7gM0TAtUzv6ZS+98f5t2ji3zPJ2YNszgjPiaQ9k6LcU0q1ioO1p2lGYfm8/Lb9daqLxRRRtdmBJsn4sIJDlfWufbSz/cwmSbXfnRbvBulirYEEuNum+PoZIuDaLhRN2asbWtyTyNRuP9BzU4Iz22xkn2QAzmmsBQNSPY45JisFSTFd+8tKksFJuO11WX5bID4tVn9YiREaL+mQuL6gPwL8LSNg0RYTrhnXD4/MGoI9jxXCajb+GjQqJdaKi/N7Y3jvjq/qmTYkAzbXDxpEnS3CJOHmSQPwu7n5GHYazv9w8f0ZMhAk4LfvDz/8ELm5udi8eTOGDx+O4cOHY9OmTRg6dKi7j0ZHueeee7BixQr85S9/wZ49e7BgwQLU1dXhhhtu6NDb7WpWXHsOg2hEFJTiI54pyjWN7c+8CITWVDo94nvzk+9/jde/dGblrP3mBCYsW4MX1zp/vDHyXcf7ls0mCTdNyAIAJMVY0Sc5sA/nD1042NnIOYAv9u0r9WwfkyS5Ax25PbvOBz5lYEE8lMovl2LNdY12LFy13bVPE+au2Ii3tzsnk4opmKGaTicCRCVl1a51OSeANrY4M8q++qEKdofcFojyM4VTOVXUbJKQFG0F4DzvnNc7r7MrfsaWVYKJggjEifLXS0b2xLr7p7iDZ+I+aO3vvT7l7UmS8WDPqUZXs34/nybFZNmM+EidAk5nwGiMVwNi8Z5hdxj/jd89hVMjaGByH9P595isFNgSo0LSXWnJuyVodR1Y+X4XyLnZlk2Y656sW9PQgg37KzpkylkQb8uGXVvQT3U6cKg9dZliiFkI7o+k87ppr9F9k7Hk3Y4dCjZ5UDoevyQPN03MRrTVjHHZoZ9Ompno/H/mOwsnYtqQjv1eUjAgDWOyUtAj3tqht0NkxJyRPd0B++y0uE5bR8/E0E/kjWnHD6z9UsKzx3ygAn6EHnjgAdx9993YtGkTfv3rX+PXv/41Nm3ahLvuugv3339/R6zR7corr8Szzz6LRx99FCNHjsSOHTtQVFTkM1jgTLDi2nOw57FCXDHahjiTAxYTYDUD0RFArAWINgMWEzr1cq6Ja/J7uRmwwNG11hQBnIbP+l1GrPV0NgB2llSFSll1I1Zt/t7/hi7ia6f4Tt03ORqj+zmzO2QZiI00XrITF2lGUowFDlk7+0hNzGl+vJWUmUDpceoZGtEWM24a3/80rsozW0QtaCS+3FfWN6OyrtljX1Hu+q0rM3FMVkpIv6xX1TsDRA3NdkxYtgYnXX8/+GYxJixbg91HnAG2wyfrVYMb7qCU13EtrjXWugLYca5zr0URQWsLvqmvzWyS0DvZ+WE1MzHaJ9vKoXHbgHpQzb29JBkO9sRYI9z76BFX3zk1R/16178Xzc71uR9md7ArgAw0u8gAUz8XREBPvHbNJgmLZucaPr4WEXgVS/XOFjMapJMk4OZJzuD+ja9+CcD5Y8fcFRsxYdkaFBU7pxZuLq10n6Pt8fzcUbg8vxcAoF9KaLN8fr9mn0ffzY4wf2IWrIrXvchaDlZqrBW9Qvw4KG08UKGb4RkKURGe/6958ZqzQ3r8aIvJI9j95+uc30vmjundIWN7quqbYTZJWDInz//G3VB7EggTojrvc0d3pQzYX5bfu1PW0DclClOHhDYGYjVLePaKkUHta5KAawr6h3Q9XVXABf579uzBP/7xD5/Lb7zxRvz2t78NxZp0LVy4EAsXLuzw2wkH0VYznrxkGCZYv8fMmYVh29eNzlwtLS14//33u+T529zqwN82HMD+E6dwvKYJqXFWnKhtAiQJNfXN2F1Wg7rm8O960OJwOLOoTlMVpxxEy+RQs7uznNoysuyy7A4gpMRacbKuWXelp5rsrmmSZkRGOr/AevekUtNqP/3njCQ5A4RmU1swSgQYoi0mNCh6hl003IZpuZn4v/UHTtv6HIoApHfJIwAYSTz64tvjsDtkmE0SstNjsaesNiRrS3UF92oaW32yNcuqG/HGl86epLsO12Duio2wJUZh0excnzJK74CVKKeqbnBlcLkuF6WpY7JS3PvqBae0srPsDhlHXL0Nj1Q1uB8bQfynRwmnYq0i2FNe3agzrCAKNlcpqr8MJnHbE3PSsXxePh5+uxgnTrUFQzO9Hje1+xhICacIjGllvHqXcAJtpbH3/mOnR9P+9ohQBPBEkG7BSv99rxwy8OLaUgC+g7vKqxuxYOU2LJ+XH7LAlMkkYWCGs2/YsdpmP1t3Lf1To/HQLM/gZ3tLOC8e2RPnDkjDH9s5iEDLD5UdP7RHlIkLogXM6pJjITn+pLPSfYLd0VYznrpsBKIizHjlfwdDcjtCSqwz86wwz4YX5uXjnn/sDHm/0GDNGNoDH+5u/7Cia8b1Qc+kaPx762FU1LUgPc6Ky/J748YJ2bhj1TYUBXEbUwen4cYJA3D1nze1e33kdOP4/h4B+3MHpiFCAlpP48fbqYPT8H/Xj8X/ffFdSI97/uAMzBxuwwumwF9j3j9kdGcBB9DS09OxY8cO5OR4/oq4Y8cOZGSwrJCIugdrhAk3TczWvN7ukLG5tBLHahtx4EQ9Xv1fqTs7JZz8a+sPp/X2Amnw3tHqmlqx75gz0GJ3yO4Ml+sK+uO3H39jKCBW1Qyg2fmF08hnp91eJbSnQ2SEc3CBSZLcwZgW132NsZo9AmhmszN4YjWb0Hyagn23r9qOpZcPQ2GeTbXkUZRR6jnVZMfm0koUDEh1f9FKiragqiG416QIEA0NsNS1rLoRt67chrun5WDhlBzVgCDQlon5xbfOgR7VruBcXbPdHYg7b1C66r5KZpXgUlFxmceggrd3HMGm0kqPAJV4eJXJk+7HHp7BHu1hBbkocQUq9cpEAc+Mr8I8G/qkxGDW79chPtKMl649x6Mxvu99dD5WgWSg2f30QDN5ZaAJhXk2bPiuAn8J0Zd/7xJSEaT75VvFPtmURil79F15dp92rtD5fC55t8Rdzt7Q0jWCEkY9ppY52M7qy95J0RiXnYqoCAmNHfKtuANrZl3GD0j3uWzFtedg/l+/DEkQ7dpx/TWvu2CoLeQBNFEuCjhfR9NzM/G/b09gyX93Y9/xupDeVqCuHdcfl47qhTte34HmdgS1Zw7rhYIBqVhwnm+m7jUF/QMOoN03Iwe3nX8W7A4ZFrPUJfrd3j3tLPzxs33tepw6U7/UaDw6e6jHZWaThGm5PYIKcBpxf+FZOFLViAMV9eifGoNfzsxFtKua4ZqC/nj8vT0huy3xula+xv659RC+PnoKCVHOsNHWg1UenwlMkjN49uDM9mdxh4uAA2jz58/HzTffjO+++w7nnnsuAGD9+vVYtmwZ7rnnnpAvkIioKzKbJBQMaOspsuC8ARj31CdBfymijpccY/EIcpbXNOHZj74BAJysb3Z/qS4YkIpBmfm60xLbBPZF6IPi8oC2b68htngcqnBmO0SYTIoMNOeH1yqv6YPv7DiC885Kx1k94nz65XWUKlfz9eXz8lWHCBgtURN9u0R23eX5vYLKpFMGiPaUB5fJ9puPv8Wr/zvgLllUBgTtDtk9+bZZ4wuNsjxZ0jnHIrwyqYqKy7Bg5TafYK4ya6kwz+Z+fJVfYbzLZ0Wwx/t1oMwWEwFhf68Ck0YZZrQ1wuN9VI2o+g5miIB2Bprz3979C+0OGYddTZCjLWY0ttgDzplVZvSqBfAK82xIirbiqhUbAzyyp7LqRvxlw4F2HQNoKzstqw6/5s9RJtmnZx7Q/hLOlFgrzCYJz/5oBBa+vqNdx1LTK8B+m4FKirZgnMbrasW15+DJ9/bgpXZkrkRFmDSPD4hSeglNIQo+xkVG+DzPZpOEiYPS8fGg8/DU+yVY8UXpacukV0qKcT7WZpOEPY9lYt3e43hp3XfYf/xUQFN3Y6xm1XNZGJedamiKt9L8iQMBOB+r5y4fbmha6nM/Go4TdU34sLgc2773/+NVIGKsZiycMhALpwzEur3H8eIX+1FW04ieidGYmJOGpUV7Q3Zb5/RPxpcHThra1siPpQAwZVAaXr5hrOp1AzPigQ4KoGUmRKsGVQHnj/056bH4NgRBZHEuC+I1NnGQZzBeVOiUnjiFU+UH8KvrZyA2uv2DW8JJwHl2jzzyCB599FH84Q9/wOTJkzF58mQ8//zzWLx4MR5++OGOWCMRUZdnjTDhyUvzIOF0/LZMwRibrf3h9GBFvbshutnU1qT9dDS/bi9xvilXevsU5wfnpGirO5hgMrV9oT/mmsbqnYFT32zHrSu3uQMep/P+L3m3xB3QUMYdUuOMNY0WfbtEkObf241lV3rHOJTTLE+2IyB+sr4Fi12NwkX8rKi4DOOXfoKDFcZLuCRJ+6O9ckKl3SE7J4eqbKfMWrI7ZNWy0LaS0bbLxOsgI9754XjJxUM9hhUo+6bpEeedCNLJOgEm332DyEBzBYg1M9BUAnpFxWWYsGwNPtnjzM5pCCJ4BniWw2sF8KwhmoIbyqznrpQdbNTYDIfqc9zeYSIZCc79LxrZK+RDu6ItJpw7MC2kx/S29PJhuq+tyYN8s9MCcevkAbrHN5skXDTctxw7WBNyUnVv78GZufj68QvxyKwhuLbAOXm0ePGMdt9uuoH/9yy9rO2xNpskTB6Sgdfmj8P9Fw4J6LbO7p/s9zF99vLhmtd7u2mCZzmdkWmpw3sn4PKz++CWyQPx5m0TcIurD6OWaUPSA+rN9pTrsRKP099vLsCnPz8fr80fh/mTBiAxKuC8HlXTczPw2k/HGd7+93NH+d/mxyM0g2cA/P4Q1B7K7Es1F+RlhuR2lOeyHlGhs+iiITi/p3zGlG0qBXyPJUnC3XffjcOHD6O6uhrV1dU4fPgw7rzzzg6dWENE1NWJjI3MDpiKQ+0zpn8yNn+n/2ukyB4UGThmk4QoS+c23x3Zx38Jofi+rvz6K6ZF2h1tvd3MprYSzoMV+r9Wiub4WWnOJvXZabF4aGZgXwgCIbJg3ME+xeeJ4b2T/O4f6/r13u6QUdXgfB6NZq49P3cUEqKcPRiXXT7MI0CUZjB450+r3eHODgskKwFwDkjQmr4YoQgEbS6t1M2YFI/x5tLKth5oHiWcbVM4lcwmyT1gI7dngscHbK0eb97ELiJga1d5ntXYHbKz9ySc56zRIJooPy6vblB97Lz7qonnJtSN3b88UKm6Zou/saWdINVV+hzMpGQtopy6oyRrJD2MyUpBSmw7+qoqnrIV156D+RP1AwmBOKtHPMZlp3bIAB+rWcILruC/nnHZqbAE2ZU+KsKE2zWGgSg9ddmIoI6vZnTfZL/biC/1j81xTh6Ni4rwGwACgOG9fP8fKwG4ZVIWvnx4uru02VuM1aT7WGcmBPY5cHKO/6Cm0YDu8N4JeOQi33I6vWmp04ak452FEz0ue3BmLm6ZlOXzI5MEYP7E/vjzdWPwx6vz/a5HrGnOyF6a15tNEqbntq8hvljXimvPgTXCZOj5v2VSFmaP6IkX5uUjKdr3PSMxyowX5uXjYj+DAsZlpyLGGvr39cgIk25mIgCcO6B9Afmk6AhD7xvUpl2h3vj4+FCtg4ioWxB9A5T90VZtPoTymo6duEX6TjXZUVmvn01kV8mKCeXU0GDUNgTXj2jFF87m43a5rbebWWobmuCvF4pof/Z1uXO6ZYRZQq4tsH5gwVAL4hj5ojcmOwWrS8oNlt22uXF8f8wc3hMPvV0MABjdzzMLYESfJMPH0tPQ4sDid9Szw/zZd6xOdUAB4JmdJUpY/TlW2+jOWvQYIuD6t1pQSzwk3iWPDtnzei3unmOuHUQgTS+O5N3L7d/bfsD/9ldoDhtQ7veHNfsAAFsOVqk+dqInm0PWz9xrr7krNqk+b6I3msk14KOzOxPZEqMwuIfzM30gpbL+jOiTiE+/Ph6y43mL1fgWYzZJuHRkcCXcAHCizjPI/dCsXNw3YzD+8r9SfHngJGKtZlyW3xsnTzXjjn/sCOjYFw23wWySMOms9JCV9PdOisavLs3DhBzfxv5qAinp8/brH480nKVyy6Qs1zCM9knTmBrtj+jJpLWGWyY5+zaJkrSDlfXolxKDawramsQ/clEu7i/0fe7PHZim+ziMyUpBpNmEJoO9RI1OL1xx7Tn41Xsl7v/He7tpQj88cpH2pNI/X3cOGprtePL9EtWeWt4enJmLey8YrPn4GBnqMG1IOv583Ri/9218Tjr+tS2wvrzXjOsLSZJ81iXWDvh//sX9mJ6biY37K7DhuxMAnG1axmXrZz8KouT7Z3/frrtdoKXN4v1CjwiIG+lxZ5aAV28Yg02lFQj0PlIbQwG0/Px8fPLJJ0hOTsaoUaN0M822bfM/XYiIqDvz7o+2cMpAvLq+NKSNPikwJWXG+3kpAwidXcLZ3vhdS6u9LchhkvwGOrR8c/QU/ryuYybSKallNIn1W80SLGaTx4TEuMgInGpqBWSo9v7yZ3qus/RBBA3MXhEdZQDVaJ8ULe0Nonv3MQPazg+7QzZctpYRH+We/qm8P+7gpco+ak337Q4ZP5x0lqKW1zT6TPpUapt66fzbu9+aN6O93ILdzxRA5l57qa1ZBIWjLGY0dIFJghcNt+GXriCynsToCFQ3tPrdTthisAdRsOp0ljJlcI+gA2hqryVrhAnzJw3A/Emel7+6sRTbDhnvFXXduc6smHnj+oUsgLbs8uEYnxNYFsrF+b3x60/24kCF8XP/lklZmBlAaaYITry0trRd753+Stj8reHeCwbjlfXfuYYnyLggNxPXj28rcfQ3NErrudfjLGPNxL+3H/G77Zj+SQGVwYmArt590hNtNePxS4YZvj1/j4+y4fw/thzE9sPVsJhNODc7FQ9fNFQzOOct0Ky9yAgTFl+c57e819/zL5hNEsbnpAX8WhJmDu+JWw5X6QaNF0wegN9+ss/wMZ+6zH/ZbiAB8V9fORITz0rHxLPaV8Z9pjMUQJszZw4iIyPd/81STSIi48wmCdePz8Kf15WivLoxZNkGo/okYnuIm7yS55f6YMtcQqX0RPsaw/5Q1fblyCxJ7sybYHy690S71uJPaqwV1a7yS2XPsEdcX+yb7TKa7c5gQ//UGDx12XCs33ccz3+6H5tKKwN+XdkSo9ylESIzyrt8TazDYpaQFhfZoYEWf2S0TUycnpvp6iXj/ALQ6nA2U7clRmm+x0hw9ncbk5WCfcedmYUeLfAUgVZv3gEw7+yw/+4qw9aDJzWzw7wDcCIpQ+189NfLzfsxCGo/RQaa0cy9YOk9byZJwvJ5+Xjwza88+pmlxFpQWXf6pjprZbN4CyR4BgC1jYFtH6g4vSrNIN/qUmOtfkumlP5563gMeeQDzYEgSvMntn1pH5edCosJaG/rOaufhv56Prl3CnJ++T6MLOH5q0bhopE9A74NEcDwzuCqqGnCXf/y/4U/MyEqoOdDjTXChFsmD8Qtkwe26ziBeuryEQYCaDJeue7sgI/dWfdJi1bD+UCMyUpBXKQZp5qM/ahgJDsLOL2P1YMzczGidzIeetvzPT0zIRKLLx6K6bmZ+L9136G2yf+r7sbx/Q0HVi/O740//68Uuw5r/1jsr4yWjDMUQFu0aJH7vxcvXtxRayEi6rbMJgmLZudiwcptQWeyTByYii/2Vbj/HtYriQG0EJJc5VRdqYSzvV+uKhRN8D/de8z9A5i4r13JnJE98ZcNBwHIMEmSZjYRAByoqEd1QzNMrkCEVumInkWzc93PdVsGmueHcZP78ZKw9r7zkfPwBwCAl64ZjVa7jAff3InqxtOXQaTsY1YwILWtB5os677HiHsl7rNaCafRDLRgssPMiowv5W2pBesC6eWmzPQNqAecYj3tbThvhNbz1uKKJDq8XowWk4Roi4SGli72Iu1iknRarAU7iXPOyJ4BlTOZTRJ+P3cUbl2pX4EzPTcDD81q60tlNkmYOqQHito5ue+ZHw0PuvzKbJLwp3n5ftf+p5+MwszhgQfPBK0Mrpc36n/hB4DFF+eGbXmZkTLWKTbHGdmEXY3ZJGHppcMMT741kp3VGWYOt2FGXlsrl4x4ZxBYnMfPXDHS72uuX2o0Hp09NKDbfWfhRPz0L1/iY9cgHCWjZbRkTMCv2OzsbFRUVPhcXlVVhexs7fROIqIzndaQgcyESCTF6Dc8ToqOwLfHPLOR/r39cMjXeCaLdg0MUJbFNbeG32Q6Lff8Yyf2uEpZo7vgB/bpuZnu0j6H7L8v1ZJ3SxBsUaVZAuKjLG09uTQCaCKuYbc7XD1DnMZmpWLmcBt+pjFaXk1itCVkE3pF1pQ7EOTKftF8j1FMFgXaAmKeQwSc/1arMnAHGu0Ow5M+ldqGFrieX5Vpq973zR/v7QLqAee63QMn6rFy4wFD+4WCWKMIzLfYHViwcptPZtex2uawD551RJN8pZRYCwYkaD9GabHB9c2aOiTwRuaiD5RaE/KoCAnPXzUSK649x+c6o32vtIQio0Rv7aKBenuCZ3r0mtpHRug36Q8XohG/91udBOCn4/thTv/wfp2HmtFBCbdMMlau2llEK5c5I3uhYIBnjzHxmtNa/9TBafj8vilB3e6frzsHex4rxDXj+mJiThquGdcXex4rZPAsxAIeInDgwAHY7b6/tjY1NeHwYX6ZIyLS4z1kQPwytbqkXLeHU1VDK+D1JavOYJo7+ZcUY3EHIUT2U6AN6cOB6AVX397UNg1JMRbD0y+9nTjV5A7i7Py+yu9jX1bdiLKq4J4fuwxc/Wdng/dHL8pVDaAVFZfh0f/sdm8/7/82u68zu0p7TzUbL1G7cXwWfvPxN0Gt15vImvKeJgm0vcdc9/JmrNt3AvPG9sWSOZ59YtwBLcUxZWgHtcRlX5fXBJUdZvLKQLPr9EALpJdbMPsdOFGPP6/7DgCw+UCloX1Cxf28mUUJqfp2ouzTYpYMlQZ2RYVDe+CTvceDfj/w5+LhNpjwnfYGwUarg3y4g2lCPi47Nej3zFBmlLS3gXp7iKb2T7y3G7sOVyMx2oL5E7MND0QIB1qN+CXZjvff7/jeouHG36AEZfP/cFWYZ8OexzKxbu9xvLTuO9Q0tmBE7yQ8NEt7oINRgfa4o8AZDqC988477v/+8MMPkZiY6P7bbrfjk08+QVZW6MY8ExF1V95DBoC2zBHvoE1mQiQaWx0d9iXkTJIeF4njirKenIw4XD++Hx56azccDhnNrnKq9ftO4NH/7O60yXiRZglNYfql+YZzszAoMw6L39mN8prASqgWv7Pb/d+VdfoTU4V6VwAr2mJGY4s94OesvLoRP3utrZRCBKT0ykcB4JM9RzFnZC+kxurUkClIErDgvAF45X+lfl/L6XFWnDjV7LePGaAsjfQMiJpNElLjnGvLSo/z+SIqqQTQxCHUMtBEAOykwb5c3tlgZq8eaG3TO31vK5BeboHulxhjwW8//ua0v7a912zRGz/qIgNhGzwDgHMHpOGTvR03gXPyWWmo+UY7gBZsCaf3BM5ABNqE3GySsPSyYbrlXNNzM/D7q/INT00MVnsbqLdHtNWMX13aNcvxQkWtEX9LC38E1dLeQQnhwGySMHlIBiZrZGFS12U4gHbJJZcAcH6wuu666zyus1gs6N+/P5577rmQLo6I6Eyilp3mkGVc/edNnb20bmHBeQPw2H9L3H+bTRJ+s/pbAECNotn1Ux983SnBM9E8N1yDZwDQPy3G4zwWTf6NUPZrS483Vn4VF+UsOxrVNwkb9lcE3F9QZPoIZpOk24xeWPrB17hoeE8M651k6HaSoi3YevCkoUD40J6J+Pwb38CDdx8zAIoeaL7HaQtS+V4nqZRwCmrbiwBYfJSxj43e2WDeQwgcGiWz4jKjvdy09vOmPE5nBM8AzzWfCbO4qhpaOvSHn71Ha6FX3Bdsb7u0uOBKP4MlyrkWv1PiMak3PsqMpy4ZhotcJZrMKKEzTVcblEAkGA7hOhwOOBwO9O3bF8eOHXP/7XA40NTUhL179+Kiiy7qyLUSEXV73n0Tgv0VnTxNz+2ByV7Tob4ur8WJU76ZTsE0pG+Pawv64bWbxiIuUr8P3ukQYZJU+/El++nRJ4gvreI8vnv6IKTEBn6/RvdzZhPpxRkyEyLRNyUGANAzKVq195cRyoBKhMnktxk90FamGGnwl/AYa4ThHl1bD53EH3+Sj7hIz2CVdx8zoC04U17dgA37Kzx6jzl0yiTdPdAUl7UNEdDOQBuQHqf7vEjwnG7qfXt2RY875+XqxzHay01rP9HPULnf3dNyOiWT13vNRcVluOA3nxvePxyDbSYJSI4xlp2pFMjU48Mn9V9PY7JSkGgw4OuhE36/KMyzYf0DU7Bq/jj87qqRWDV/HHY8OsMdPCMioq4j4BzI0tJSpKWd/vReIqIz0emYENedZSY4swmiLKZO+WJkxIV5NphMkkf2QWdpdcioqm/BxIGe/59vMBBUTI6x+AROzCYJl+cH/iXQYnZmE+lpbHVg39FaAMDBijokRlvx6b3nBXxbSmaTFFAzetHLKsqi/3GquqEZJ2qNBcNrG1uRHGvFtQX9AACTctKwav44rLt/ikfgqKi4DEtcGZXfHD2FuSs2YsKyNSgqLgPQ1rBfNQPN9W/PIQKuAJpODzQZcD8vak2xAfXsMFGxKG5DBPrUpnAKhXk2rLt/Cq4d53wczh2Q6vMYaO0nGpNfNqqX+7Hrnxaru1+o9UyM8nneRGmwkfJmCc5G+V1tWq4RDhk4WW+sDFswScCsYcYbxvdNida93mySMD038IEA7SnhbA+9puNERNR1BPHTDFBXV4fPP/8chw4dQnOz5/8g77jjjpAsjIiInL+ip8RaUGmw91BXF20xoyFEfT+SYiyorm/RjYuJL6rv7izDhv2+E6Q7k7Iv0n93Hens5XjY8f1Jj78bDUwjbVGpI7Q7ZLy7s8zQbZokz95YIpvo/n/v8plSCABV9S14a4fzcfvywEnMXbHRHTAFgBirOeBswgiTFFATe1FC2eTn8TnVZMfj7+0xXGJ6rLatj9eAjDifnolaPdrKqxuxYOU2LJ+X76enme9tyorH3pu7BFOWUZjXU71fY2IUFs3OVQ1wiRJQUbopAmlmP+lVZpOEgT3iADgzmowGFcS5OKpfsvuxO90/RqTGWT2eNyOlwd4uHdkL/7f+QMjXdjqkxFqRHBOBk/XGBm04ZODyUb3x9g7/74UmCbh6TF98/FGJ7nYFA9Lwr20/GLp9gT9aERGRnoAz0LZv346BAwdi7ty5WLhwIZ544gncdddd+OUvf4nf/va3HbBEIqIzl9kk4dJuVMYxa3hmwPuofWdeMHkAll42LKAvo2rlmp1JBvDIrCEwBxC0OV1qg5jweqqpFZtLPacabi6tNDxMQDmRUARxpudmIspivFn2UcVtBVOKu6m0EqP7JfstHxVlihGuSJTRLCGj52tGfFRbnzCvIJNeIEZctuTdEvdgAb0STmXYTzz+6hlonlM0RXbYeFeAaN64vrrZYd5TOPWGCHgTQbNWh/HJsS2ugSCR5raPuWLIQDB5PRFBZAM1ev1QYKQ0WOnmSVmYlhv4+6WS0dJroyTAI0itJzMxGuO8MlL9qWxoxi2T/A8kmz/RWCPxqgCz4OIiI3yyaImIiJQCDqDdfffdmD17Nk6ePIno6Ghs3LgRBw8exOjRo/Hss892xBqJiM5o7f0SZVRidMf34DKajSRIAJ6fOwqzh3t+MR+TlYLpuZmq/brCyePv7UFRcVm7vtx3Jd7lj0bLIb2JuMrm0kqPoJg/7a12m7tiIyY/8ykuHuE837SeD1Gm2BFlVimxVozJSmnL0vK6DX+BGBnOHm0VrqxVvSV6Bv60e6a1ZaB5XpbiarieneY76dNjf6ktgw1QlnBqr817X2V/N3/ERF1LRNuaxJCBQN00IQt7n7gQf7thDC4Z2RPDeiUY2s97uYG+Ft7ZWYbR/ZKD6iEIANEWE34V4sbzMoAKAz9EiABzpCWwQpe0uEg8ODNXM4gmAbhlUhYenGnseUwJcCDAxByWThIRkb6AA2g7duzAvffeC5PJBLPZjKamJvTp0wdPP/00fvnLX3bEGomIzminK7ji7EHTscE6vVI3q0oD6d9cORIzh/f06V9kNknYXFrZKU3BQ0mU3K0uKdfsLWWE1dw1xrp7Z9IFm1kngjjBBuDao7y6ES+tLcXNk7LQQyXbJirC5M60igig6blRk89Kd00Ddf7t3SfM6GPS2OrMgNLLQFMykoHm8IoKiSw3f49DWwaauC3tYJ23tgy0AAJorvcZi9frQpQFB5KZNW1ID5hNEiYOSsdvrxqFXxoM3ngPMgj0tVBW3YitB08GnYH847P7YOZw54RHrcEgd00NfLpdi4Hn4apz+sJsktArWb9PmQ/XoR+cmYtvnrgQD144CGf3S8bZ/ZLwywsHY+8TFxoOngFAZkJgj/m8sf0D2p6IiM48AX/itlgsMLl+MszIyMChQ4cAAImJifj+++9DuzoiIgo6cyJQJ+tb8N5X5R1+O0rKMpz8vsmIsXh/4XUG9HyakkvAxyWnd60dQVlyNz03U3OSZFZ6jO5xxmYnd8DqAmOSgNH9PNcxJivFcMmX97GAzulHJJ6Td3aW4aO7J7sv/9UleQCASEVgRG1iZXudanQGhbUmVRp9TMREQ7VG/W1TONuu05uM6T1FU3BnkukEwuwOGbWu+7S3vAZ2h6yZXadGBOeMZqDZHTIqXI3gS4/X+exXmGfDr3880tCxAN+ApdEfNFJiPadQBvNDyLHaxqAzkMWE2sI8G7Y+PB2v3TQWC88fgIXnD8RrPx2LLQ9Px+1Tzwpo8qVR/dOct33ugMCGjikb+FsjTLhl8kD8a8G5+NeC8bh58gBDZZtKY7JSEO1nwIfy9sZ59RokIiLyFnAAbdSoUfjyyy8BAJMnT8ajjz6K1157DXfddRfy8vJCvkAiIlJmThgriYmLjECP+MADF0aF6iuX8rubyQREWT3vn9kkoai4DP/3RanH5QtWbsXKTYdCtApfkuuf4b0TO+w2BFFyt7m00t1basZQ5/Q4kVk2rGcSXpiX75NRYUuMwi2TsrD1YFWHr9MfhwxsPeg5fMBskrD44qEBH2tzaSXsDtkVgOucIFpZdSN2fl/lvmywLR5AW9CnqLgMF//hi5Df9hf7TqC51eEO/Hj3QPMXiJHgPC8SopxZR6pTOMVUTUVsSXZnoKmVcDr/7R2MEhllWoGwouIyTFi2BnvKnNNSf79mHyYsW4Mdh6pcazOSgWZSvW2929t3rA4A8NzqbzwmkwqRBoMqgG/A0ugPGtYIzwy0YH4IyYiPwuh+yUG93yoDeGaThPE5afj5jMH4+YxBGD8wzV2CvGBStuFjev/AoUU8ZuOyUwMK0IU6YG42SVh2qbEy1md+NJzlm0RE5FfAAbQnn3wSNpuzdOFXv/oVkpOTsWDBAhw/fhwvvfRSyBdIREROhXk2PDrb2A8VPz67N/734FT8KL93yNchAUj0KgkSgZxAv340tLSVdG45WIVWu2eJ5+rdR7Fg5TbUNnlOcqttsvudfNgeSTEWLJ+Xj0k56e7Lzu6XjEdmDemw2xSZLmaT5M4eEb2cTJLz+V//wBSsmj8Ov7tqJFbNH4dHZuXipbWlQTXM7whq5YWFec4ysthI48MAfvLnTZiwbA1Wl5Rj8cUdn32p5fiptowYMdlRBHUXrNyGYx0wmKKxxYFxT32CAxXOIJB3BpmRQIzyevUSTue/RUjK7pDR7Cr53Pl9lU+wSgQWZK8MNL1pmuIx8u7XVl7diL9sOOixDj0RihJOu0PGhv0V+M+OH7BhfwXsrsvWf3sCC1Zuwa0at7dg5TaPIJoITPsLmIheXt4K82y4eVKWz/pNEnButnP747WN7jUq91s+L99QVqa47a0HTwbV2y8z0Vj55J3TB8FoPPHKMX39bpMcY3E/ZoEE6ETvv1C7OL83hvfW71s3vHcC5nSjYT1ERNRxAuruKcsyMjIy3JlmGRkZKCoq6pCFERGRL6PZONNzM52/vv9oOD7++mhIe4XJAKrqW3D3tBz0T4tFRrzzi57ZJGFU32Tc9foONAYR3Gpudbh7FwmPv6c+bbCjRUaYMD030505AwBxkWZcU9AfK774zvBkyUCI7Iui4jKs2uyZXffh7nIUFZehMM+GAleZkd0hY8KyNZ3y+GjRyiApzLOhocWBu9/YYfhYIvCxfF4+TJJvU/bToYfi9dbqCqCZAM0pmKFSWdeML749AUA9OCUCOCu+KPWaXuqcUFiYZ8PfNjqDVGpJXpK7hBP4cPdR/OqDve5g9j3/2IlnPtyLRbNz3b3eJI1G/m3DAAKfFCrW648IAJ441YQJy9Z4BMiSYixobnXoBpBlOIP+okzabJIQ4QqgRUeYcaq5VXPfi0fYVINsRcVleGltqc/9c8jA/75zTqLdebgac1dshC0xyuOxLMyzYXpuJoYtLkJ9s/b7pLjtYPoARkaYDAejzCYJf/hJPm5duU13u+G9E/DK+gN+j+f9mNw5fRBe/KLU7w8eT8zJ67AMsHcWTsRP//IlPt5zzOe6aUPS8efrxnTI7RIRUfcTUAaaLMsYOHAge50REXUSI310lFkTZpOEK8/umCy017/8HhcN74mCAZ6TyyQpNKEFkwTdaYMdqbymCc+v2YeX17WVjn72zQlMfuZTzBnZM6S3JUruxmSluLN2TjV5BgQaWhw+WTT+pjGebql+MkgCLcVU9ocTQSTRz+jhmUPwp5/kI6kdk2OToi1+yyDHKu5Pi6thvt0hn97HXWWRIoDjHVSUZeCltaUoKi6DQwwhUImgiUtOtQC3v77Tb9aWexKm1+219TLzvNzouVnVoB28EkQG2nfH63yOWVXfYij7UlkmDbT1h6tv0b/9d3aWqQYNAwmgqmXAAUBTq/4RxG0HU9Y4LjsloGCUyBKNsapnid40oR+O1xrLtqyqb3E/zoDz/0G/u2qk7j63TMrCTK9Jy6H25+vOwZ7HCnHNuL6YmJOGa8b1xZ7HChk8IyKigAQUQDOZTMjJyUFFRUVHrYeIiHQoy7e8vx6Jvl2LZue6vzzZHTLe2VmGUPP+Qgq0lWw1tIQmgKbWi6k9Ak1u+M3H3/iUjooJjbdMykJSdEBJ3LrEc+rvi/mSd0vcX+g7Y0Klnsf9ZJAE00RdnGdiJ5HFYomQMCMvE0tc/dWCyVy5YXyW6uXiSItm57ozlQCgxXXbwZzdWakxQZf/HjnZ4PG3kewu53kiyn+1hwhUNqnfH8/jyO7H13cKp/oQAaPnZovdf6ZqKN8GxLpECae/rEbv9zgg8MC192MpjuGvp5u47TFZKYiLDKzjygvzzg5oe8AZRPtq8Qz87YYxuGRkT1yQ2wMPzRyCb564ENOG2AK6z97PvwjQeQfRU2It+NNPRgU0WbM9oq1mPH7JMPztprF4/JJhiNYIGBIREWkJuAfa0qVLcd9996G4uLgj1kNERH64++h4TWvMTIzC8nn57lIhoOOzlFa7JmEGmpVhRESIy3menzvK8EQ2LcoJjet/cR5+NsSOWyf1R1wA/b283TXtLBTm2fw+V95By86YUKnFSAZJe6bJit5bIuaw6J0STFi2BruPVAMA+qfGBBSYM0sSFk4ZiOXz8n2mJXq/jsRpKMqLW4OoJU1PiML147NgU5mw6k99i2eGldHzpMaV3aU6VVMMBZC1HzXl+SYCZA6NKZzeAUyj52aMxf/r5tujtX63MUqsy8jwAsE7GBRM4Nr7tWv0GMdqG2E2SVh66XDDtzU9NyPowJDZJGHioHT89qpReOnaszF/UjasEaaA77Pa86/Ww/HLh6Zj5vDQZvQSERF1pIB/Pr/22mtRX1+PESNGwGq1Ijras0lpZWWlxp5ERBQqoo/O5tJKHKtt9OhDphRsllJ8pBm1Tf5Lo15efwBjslKQGG0NeaDOYpIQG2tBZV37+7ddM64vZg7viUf+sxsNLe1r/C6+DG//vgqDkmSkDkzDC2sPBH28/mnOgQGBfKkGnBldSdEWVDWErr9doFJiLXhiTp7hL8Ei+Pvgm1/hZAB9+dTaJ5VXN+Il13TWxGjn0If7//0Vqg08HgnRETCbJBTm2WAxmXDTX7egT3I0nv7RCJ/XkUmS4JBlPPy284dDI8cHnJNwf3x2b7y8/gAiXBMPF83OxYKV2wIKNMdHeX5UM3qeNLmyu9QyOQPJ7jxW2+gOwtkNDhEQ2Ybl1Y269zU1zqpzrTOr9Q+f7jO8Vi0SnIFRUSb9yH92G97XOxjUnsC1eO6MHkNsd9HIXvjPriNYXeLbw0tpem4GVlx7TtDr87cOI0wSMLpfsup1ZpPk7uFIREQUjgIOoP32t7/tgGUQEVGgjHwZCfbL3uWje+PD3Uf9BsVEc+5fFA4O6nb0RESY8MScPPzs79t1t/NuMJ+ZEInkGCv2lLdlrgzvnQQAsHg1a5IQXEkeAByrbYIZQHlN+wKH4jkK9Eu12SThhvH98ZuPv23X7RslHiu14RGBCiQDSGuAgPKiVrsDhXk2nDjVjIffLkZerwRMH5KJVZsPeTw/aXFWnDjV7HEetLqCQOnxkbqvp0ADldee2w8D0+MAtGVoiQDikndLDAecs9JiPf42ep6Iu6j2/ATyjGXER/kv4dSYFLpg5Taf15jy7wjv5mkKoiQ8VFmti2bnYnVJueFjKoNuSkaDg2rEczcmKwVWs4Rm76ZyCt4TQFdcew5+9V4JVnxR6rPtoB6xePu2iR1Wkijus5Fz1iEDWw+eZKCMiIi6pYADaNddd11HrIOIiDpAsF/2Zgy1YVx2qt/JbCIb60QH9OMySxJmDu+JWw5X4cW1vl8aAeeX3OfnjkJybKRHJt6Db+7yCKBFuJqGWyLavuhPPisd3xyt9fhSaJKAO6fmGApKZcRHogLOiYnBSoqxuL8k+3uu1L7QL5ySg1f+dyCkU1a1ZHpNEwxGIEEREWgxUjFZ0+gsVxQ9tfqnxuLOaTlYOGWgR5ZmfFQELvrDOtQ1t2LD/gqMyUpx7+MdXAWcAaJgSjYBZ++yrFRn8EsZxFJmj64uKcfL6w/oB5lMnusyep7EWJ0f8VRLOF0BTJMkQ5Ylv+fbu7uOAAC8W5aJ+I/WpFC1YGFmYhTOHZCKf2/7QTOQGsqScDEFc3puZsBTa5X9JAW94KAW79eu2SQhLS4SR3QCUmoTQB+alYv7ZgzG3zYcwMHKevRLicE1Bf1hjWhfabo/4j77+/+B0NX6MxIREYVKUP/H3b9/Px5++GHMnTsXx44508k/+OAD7N5tPCWeiIg6nt7QAS0i86Ewz4abxvc3tE8oAjhWs4Ts9LZsG5HV8uDMXNw9NUd1ncvn5WOmaxLonJG93BNBvb94ii/qyiBJ/9QYrLt/Cs4/K919Wc+kKCw4b6DfgQMmCRjVJwkAfHpoBaKqvsXdR85IjzDvL/Rmk4Sllw0L+vbV2BKj8JirOb+w8PwBWHf/lHYFzwINimQmRhk+/5pbHbA7ZHe/rJqGFnfze3FuVDc044ZXNgMA6prsmLtiIyYsW4OtB08CgGoQwruBfCBqG1vbeoRJvkGYggGpeHT2UGdzdZV+hiNd55dWdhegPkgEgMd5pDdEINHiuZ/accwmyb1+3x5ozoia2az+ginMs2Hd/VMwYWAaAGDe2L5Yd/8U5PSI11wbELrejbFWMz6/73xDPQa93TwpS/N81+pDqcb7sQSc5+vx2ibd/dQmgALO8/Smidl4bE4ebpqY3eHBM6Ewz4bZwzMNbduV+jMSERGFUsD/1/38888xbNgwbNq0CW+++SZOnToFANi5cycWLVoU8gUSEVH7GP2ypzbFc1qusS9MoZiYOSQzHpGKAJfyO/nEQeke266aP1Y3oOMdQIswmWB3yO5JioAzc8RsktArpa2Xp90OfHmg0m/Wk0MGtn9fBQA+k+UCIUpgxRdl8VwlRls8touNNPsMiBAK82y4UyXAGKiF5w/EqvnjsO7+KZgyJMPjuqE9E4Mq1VQyGsCIizS712H0/GtosWPCsjX4++bvAQBrvz2BCcvWoKjYOYFWZL4dP+WZLVhe3YhX1h8AoD60oj2ZNJERJnfPML3HTgSZprke8x/l98a6+6cgPT7Sua9OdpfeIBER7FJ7aYrLoszAH64agR4J2scB2rLYfANo0FyjYDZJ7uP3TomB2SS5s/4On6zHhv0VPoGiUGUw1TXb3QHSQI+pFcASxPN2Qa7zeTu7XxLumpqDSK+AlvdjWVRchnFPfYwWg1M4uwq7Q8aXB0763c679JSIiKg7CTiA9sADD+CJJ57A6tWrYbW2/eo+ZcoUbNy4MaSLIyKi0BBf9sQEtLunneUT+FGb4inKxbRIcH5hCkW/m91ltR5ll0drmvC7j7+B3SHDqgisRUaYUDAgTTco4f2Fftfhk5iwbA2+P9ngvuzfWw/jqfdL8Na2H9yXldU04rbXjJYpOTNIzu6XHNR0RcB3Oh/gfK4evWiIx3ZXj+2nm/2lfPyDjXPVN7e2ZfBJ3gHI9gdIjQYwIiPM7nX4O/+Ek/UtPsG58upGLFi5De/vOqKZ+aa87Hhtk08wpz2ZNDWNLdh3zPkjo7/go9kkoVeSM5DbM8nZc8zhnnCpvo94TWe7eqTdN+Msj6CyKzlMNctLXCQDmDG0Bz677zz3dX++9myP49gdMo66nrtDFfUej49DYwqn7/2D+1hFxWV48fPvAACbSivdmYAi2AmENoMp0Mb9gpEA1uqScqzfVwEA2HKwCr/95FvYXcHBqYMz8NpPPQP9IpBrdDBKVyqF3FxaifIa/aw5ALjqnL7tDrYTERF1VQEH0L766itceumlPpdnZGTgxIkTIVkUERGFnrKc7c5pOVj/QFtATWT8eAdpzCYJF4/QL9tbNDsX47JTYUuMCqg5uTfvXlMygN98/C1GP7Ha44usJEE1a8Vz3Z7/e3txbalPgKWu2Y4X15airtlz2qjRZvEZIkPIVVLXnvvu/UXZu7m6XgCrqLjMI+gXZMsu/GfHEXeAY84f13tcd/+bX3kEOIJhNIChDJbqlbX6e7zFw/Dwf4oNZb4VH6nxCeaMyUoJ+nldt6/Cnd1mJBAizlnxOhDZa3oDF8wmyT3JMjstziNw4dDZX1wmHiPlJmOz2wZDFBWXuR6PowCA/+w84vH4GFmjWCcA7C2rwYKV23CqqdXjehHsVD7uwQalvSkb9wf6HqX3vIlgmPf7R6vrQf3k62P4+T93uku0g+nr1pVKIY0G88RUYSIiou4o4ABaUlISysp8P0Rv374dvXr1CsmiiIio4ykDaiLjx1tRcRle0mjgD7T1CTLSvytYVfUteOy/Je6/G1scqlkrSjrD/dpNZN2d3S/ZfZkoqfP+0p8cbWxWT0qMZx81tcblasSX+Ip2DDIQKuqa8fyafViwcps7u06orGvGrYoARzCMBjDiojwnCRbm2dzBSqXMxCjMPaeP7rFkwHC2j6AM5phNUkgmG249WOX3sRODLkRgWARC/QWnRA+splbPDv9tATTffcRFoiLTodhV3J44t7Qy+4qKywxnoIljrtl7XDcTUJQzh+r9JDbSjNGu12kwx9QKYBkNhikfq0B6sIn3mK5UCnngRJ2h7bpS0I+IiCjUAv6KcdVVV+H+++9HeXk5JEmCw+HA+vXr8fOf/xzXXnttR6yRiIg6gZEvico+Qe6+TAm+wY6O4J21ouSdgRYqag3BBe8y2VXzx+HW8wYaOu7X5TUef3uXUKoFUUI5qVB4ZX2p7vEeePMr3cw/PUaa3wNAhNk3YBUf1RaIjI0045FZQ/D5feejd0ros128gzmip1VspOe6Aq1SU/a6UyOeY5GBZiQ4ZXfIqG9yZkDtKavxLK90/adaf0LvwQR2RW8zs0nSPbeUj0+rGCLg5+Um7pt35pn3cZVlk4V5NrwwLx/xkcEHMOua7Jj8zKfu9wij71H+AlhGg2HKx6q8JrByTLX3mM5id8j4+6aDfrczSXAHLImIiLqjgL9hPPnkkxg8eDD69OmDU6dOITc3F5MmTcK5556Lhx9+uCPWSEREncDIl0S1/l3P/XhkB6/MyTvQoRSqDDSfQI+kP53PO6vvh6oG1e28KXuzAeqTF72FalKhkr/y1ar6Fjy/Zl/Qx9drfn/b+QMAABaViY71ijK5uiY7Hn9vDyY/8ynKqo09vimx1oBK95TBHBH8+fHZzmy3oT0T8MisIQGXyvrrqSXKdMW5LP7tfS4IorxSDLN4ce13HlmZDp0BBu6hAK6/lcMBJMn/uSUeHzF9t+RIjZ+SauOPvrJUsDDPhiv9ZBn64x1oL8yzYf0DUxFtUX+T0AuSq63RH/FYVZ7y3z9M0HuP6QybSytxtNZ/lqtDhntoAxERUXcU8FcMq9WKFStWYP/+/fjvf/+LlStX4uuvv8bf/vY3mFV+NSYiovBkNGPCe7sTAXxRbC+1JvxA6DLQvEMCDhl4aW2p4VLGfgYzpLy3881A892n3GDwyKgkr8mfWl75X2nQWWiAM4Dx+X3nI8GVVXbj+P74/L7zMaJ3EgDfYMv7u8pUgznl1Y1YufGQ7m2JTKIn5uS5/w7EsdpGdwaXuM+9kqKRplJSavR4WsT9bnU4YHfIOFnvDFjsP3bK5/E2Ul4pYmLqMSBXDzR3CaciA02SDAeIahqdGWWP/Ge3bkm1vzJUJWUJoN0h4x9bDhveV41aoN1skpAY7SybTo31LJ9WG6ait0ajUmKthvu6+ZsAeroFEjDsSoMPiIiIQi3obxh9+/bFzJkz8eMf/xg5OTmhXBMREXUBRjMmvLfrjB443l/avANQoeavHE+4pqC/31I/k+TcTsk7iHT4ZIPP7VWGoO+Z0sQcY5NUq+pb/E4n1FNUXIbJz3zqDr68vP4AJj/zKbYccB5TOTDh/V1HsHCV+lRU70dfqyx00exczBzuzHzrEWBj+oz4KPfz1+Karmgxm4I+x/X2E/f7wIk6TFi2Bl+7JtL+7pNvPRv3GyyvtLvKK1VLOL0uUp5aJkkK6v7pl1Q7/x1rNWsGMdXKJjeXVrrPk/ZQC7SLnnPK7DsAkGX/r+tgBhJkJkYb7sFmZALo6RTI+cAeaERE1J0Z6m58zz33GD7gr3/966AXQ0REXYfRjCTv7cZkpSAl1hJw8/b28P7SFqFSBijBN+gSDPFlfIuBUiVrhAnzJ2bhRZ1BDPMnZrkbwQvbDnke+/Uvv8fn3xzHotm57syYlLjAsqD83f+1355AYrQF1QamkAabZSIyp7zXUV7diJe+cD5GEa7swaLiMvzs79sNHdckAUkxVo+gYmZilMfjVZhnw/TcTJz18PuwO4CkGAuq61tUHxPJtf+YrBR39lRza1v2UjDnuL+m8GbXObtuX4XPdSI4tXxePhKjrYbKK9PjnZlVagFcESNqtAObSisxsEei+zqT6/7ZEqNQXt1o+DUjw/m4LXm3BNNzMz2CwKIMdVx2KtZ8fcxnX62yyVBnMymP1+IaunCy3vM5PFrT5H6s9Uq1F83OxYKV6sFdJeW5ZDZJuGl8f/yfazqr0bV2tjFZKUiIMqOm0a67HXugERFRd2coA2379u2G/tmxY0cHL5eIiE4Xf/2wtLYzmyRcOvL0TWVOjbX6BCa8S8auGtMHPRJCmxnhPalSy4Mzc3HLpCyfQIZJAm6ZlIUHZ3pmpRQVl+EPKn3GvDN8Mg3en4XnD8RDMwf7DYRUN7Ri2pAMQ8cMJsvESOYU4MxWEtsa5ZB9M/LUMonMJglWV7uJn18wSPVY3sEcySsDLcIkwWyS3GWhRvlrCq+XqRhMM/pWu5jC6XngouIyzP/bFgBAXauEeS9vwcXPr/NYg97ABz1aJdViDf1SY7F8Xj5ivCabapVNhjqbSRzP7pA1J9fq9VZUEv38kmK0f2hQCwxOy80MaK1dhd1AJJU90IiIqLszlIH26aefdvQ6iIioizGa4aS23bTcTENZFqEwZ2RPn8DEvmO1Hn+/vvl7ZCZEYnCPeHx91PO6YGXER8I3V0jdgzNzce8Fg/G3DQdwsLIe/VJicE1Bf5/MM73AkXeGj8gS0stGsiVG4e7pZ+E3q/caWmePhEgkxVjczeG9KbNpAmV06MH3lfV4dX1puwckaGUSRZgloMXZayxR5b4mxVjw1GXD3Pu0TccUEyedf88c3hO3HK7SzS4U8vsmYbqfwMkPJ/Xvb6DN6MVLQhlA08oAFMFgZaxNBIiWvFsS8HOhVVLtkGVnE/99J/C3jYdwQW4P3DA+y52d5W10v2SYJAQ8sMGb93m78bsK97RTNcpAYMEA7dLmwjwbLCYTbvrrFqTGWuGQZY+MNu8sSAB+X7fteY11lM2llahr0s8+E7pS5hwREVGoBd0Dbd++ffjwww/R0OBsYmykZwQREYUPoxlOatsF0yPIm9FJmt6BiaLiMvx72w8+25XXNIUkeCZ6NZ0dYKmSNcKEmyZm47E5ebhpYrZP8AwwPv1wc2mlO0tIgnr/LwnKzBdjz4RJMmHpZcNUtzYynVCP0S/WBysb8Ph7ewI+vjetTCLRa2zxOyWqgULvkj4RVGp2lfwpy4NH9U12D0PwpnyIth2q0m2yDwANzcYCFKIZvb9eYuI5EuvXywAU7A54PFaFeTasu38Krh7rnIQ5rFeCoTV6Z0+JEs62Yzv/HmxLQMGAVM3zaevBkyEJngFt521RcRlue81/6SVg7JyNcmXTWSNMHv37AO0syItHaA8okBH8a6yjBBIU62qZc0RERKEUcACtoqICU6dOxVlnnYWZM2eirMz5YfCmm27CvffeG/IFEhFR5xBBMD1afZ2CLQFTGt0n2VADfmXPnUBL/wLV3iCSP0a/qIrtRJZQptfz5F0Sp5dFo1QwIBWFeTb88Sf5Ps+bkemEejrji7VaSaG/501k+Ylgj7sHmr2tBxrQls2l1eTeO/Cj12QfABKiDRUFeDSj1xucILv+Eus1mgHoO9FWQlZaHAAgOy3WUPDO+z1BZKDZXQEl8W9/wz6CyWayekXeleeteM6MlqcbOWdFILysuhHHT3mWhYosSOVzXlRcZihrsSsx+tpVK6cnIiLqTgIOoN19992wWCw4dOgQYmJi3JdfeeWVKCoqCuniiIio8wSW4eRLK7hjVItD9pt94t1zx2iQwKiUWKvH3+0NIvlj9IuqcjuRJbRq/jj87qqRWDV/HNbdP8VjjeOyU3V7NQFAcowF47JTUVRchl++/ZVPplJ9c/umIYYiKzFYykCMv4x576CbewqnyEAzmQxlc6kdF9DurZWdHqu7vzI45S9wOj03E00tzoy2rw5Xw+6QAw7OKokgogPagXG94LKIaTlc91s8B/5i0MEEXZtdvep6J0V7vBYCec60AoFq9IKA3s+53SFj8Tu7/R7T6JTf08XIjykA8PicvC6VOUdERBRqAQfQPvroIyxbtgy9e/f2uDwnJwcHDx4M2cKUDhw4gJtuuglZWVmIjo7GgAEDsGjRIjQ3qzeAJSKi0DCa4aS3/7r7p+CRWUMCvu3t31cZ2k75hT/U/XcemTVENzAVav6+qGpm+JgkFAxIxZyRvVRL4swmCUsvG6Z7209dNgyrS8px68ptqqWN1Q2tuFUng8qfUGQlBsszEGPs1sW5JIJHyiECwQZqtZrsFxWX4ZkPv9HcTy04JV5bV53jLK+cdFYa1t0/BQAwYdkad2bcL/69CxOWrcGBE3WG1qgWtBK36XDI7vcE76Eceu8JooTTITLQRHafn2DLmKwUw6Xk3g5XNaC6oTngDDzBaJbpt8f0y8KVz/nm0kqU1/jvYad2jnQm5Y8pWm6ZlIWZwzvuvZGIiKgrMFYvoFBXV+eReSZUVlYiMtJYw+lAff3113A4HHjxxRcxcOBAFBcXY/78+airq8Ozzz7bIbdJREROhXk2TM/NxObSShyrbURGfJRm0281ZpOEtPiO+f8D4PmF32iQwKjMxGjD5Y+hIL6o3rrSt0dTe8tHC/NseGFePha/4znJ0eZqdD49NxPjl37i9zhiiEGwawi2MX0w1Bqyq/WeUyPOK+8pnGaz1O5ArXJ/rcb+SmrN6AHn+TIg3VlemRJjxeqSctVjlVc34jcff4ukGAuq61s0b0sCVLOuvANghXk2jB+YhmGLPwIAvHrDOZiYk+73nDhwoh4b9ldoTgj1trqkHDWNxsot1SjPVaPPWVKMBUsVQyT80Rq44e1YbaM7A8/o9l2J1ms3JdaCJ+bkYebwnp24OiIiotMj4ADaxIkT8de//hWPP/44AECSJDgcDjz99NM4//zzQ75AACgsLERhYaH77+zsbOzduxfLly9nAI2I6DQQGU7B6oj+V97BEbtDxqrNhzrk2KdTYZ4ND80cgl+979lIXyuIEuixtYKhG/ZXBJQdE+z5INZwzxvb8Z+dwWWzGaEVcIxzNX3Xo+yt590DLcIktft8FvsbKStMiIrA5/edrxn4E0MNmu0OzWOJCa7+xEZGqAbBxEXKskJlLGj8wDTN4FlRcRmWf7YfALD5QCXmrtiIaIvzvugNCikqLlMNJAdCea4afc6uK+hv+DVWVFyGP7numz8Z8VEo/qHa0LZi+66mvT+mEBERhbuAA2hPP/00pk6dii1btqC5uRm/+MUvsHv3blRWVmL9+vUdsUZV1dXVSEnR/2LT1NSEpqa2LwM1NTUAgJaWFrS0BP+LZlci7kd3uT90ZuH5e+YY1TsemQmROFrTFFDfKC3i69pDFw6Cw94Khx3YZLA8Kphjq+nI8/fc7CSPv3954Vm4dlw/mE1SSG7v7L4JAJwTFcV9LKsynr1XVlWHlhZjExnVfLj7KD75+ljQ+xuRmRiJhy4cjKmD0jweM9EjS49DBjZ/dxxjs1Lc54PoKSbJMkb1jkeMxYT6Fv/HUpJc6xrVOx4tLS3YZKCssKax1b0WNSbXK+podaPfCa5V9S24c8oAvLb5e5xQNLxPi7PixKlmREaY1M8vh/N+ttod7usbGttea7K9FS0O3yDKh7uP4vbXd/q85htcj9vXR6pVb8/ukLHoP8Wa9yUQHxYfwdl9Ewy/B/3+k2+Rkx6DGUN76B9X4755Uz7nn+89amjNsZFm9znSFam9f5xu/PxA4Y7nMIWz7nb+BnI/JNlfN10V1dXVeP7557Fz506cOnUK+fn5uO2222CznZ7eB/v27cPo0aPx7LPPYv78+ZrbLV68GEuWLPG5/O9//7tqGSoREXWcnRUSXv7GhFB0wEqyyrisvwMjUtv+F7b1hIS/fus/u8iT2L9tTWrHPt3K64Gndrb9xvWj/naMz5T9Nl1vj2+rJTxfYuzxW5hrR05icI9P23kAeJ4L3nlSxvKmzJBhh4Qf9bfjXwec6795sB1DknwfL4cMLNpqRk2L/+Nem2PH6DQZS3eaUVYvIcEio6ZFwth0O36cLeOXX5rRpBI00uZ8vG48q+3cMnrOirWo2XBUwuvfmdE71oHDdf7LU6/NsaN3jIwnd0bAIsm4ZYgDkWYZz30VgQSLjMfP9o2GbDwmYdV+M3KTHLhliDP4VdUELNoWAbMk49fjfPdxyMCSbWZUNQNaz2O0WcaT59h9nqdAzkX/ZPdjrn3ueW6fZAUW5fuuSzBy38SxgLbn/L1DEj76wf/9GpFix42Dus4QASIiou6svr4eP/nJT1BdXY2EBP0fiAPOQAOAxMREPPTQQ0EtTumBBx7AsmXLdLfZs2cPBg8e7P77hx9+QGFhIa644grd4BkAPPjgg7jnnnvcf9fU1KBPnz644IIL/D4w4aKlpQWrV6/G9OnTYbHoT1gj6mp4/p5ZzLuP4uVvdga9/y8vPAtpcZHIiI/E2f2SfcqGUksr8ddvtwR0TFtiFB6cMQgpcVYcq23SPLaajjx//7bxELDza/ff/zpgxrrKSDw8c7DfzJhg2R0y/vns5zhaqz+gJzMhEguvnBRU2ZbdIeOp59YCUMsU9DxelMWMRgMZXjFREahttOOi88bgX69uBQDceeUMn5LHD3cfxVPvf42aFmNZihdMHIuxWSl4es9aoL7RHXTbdNyMb+osaHIE9qurLTEKD13o+fwZPWfFWtQ0bT+C178rRnJiEg7X1Rg6VmZiFJ7cuQ4mCfjZj6bhm+MNeO6rjYiJjsLMmZNVb2PV/mKkpadj5szRAIDvT9YD29bBGmHGzJkzfPbZVFqJqo36963BLiE9d5zPfXt3VxlQ8pXf+2KEBAkfHI3BL66ehJkmCXFr9uP3n+qVXUqoaobqugQj9w1wTvF9bHau+zlP3l+Bj1znqJ57Lx5zWnsvhiN+fqBwx3OYwll3O39FpaIRAQfQXnnlFcTFxeGKK67wuPyf//wn6uvrcd111xk+1r333ovrr79ed5vs7Gz3fx85cgTnn38+zj33XLz00kt+jx8ZGak62MBisXSLJ1qpO94nOnPw/O3+7A4Zv/pgb9D72xKjcNPEgbpBm4KBGUiJtaCyzlhg4+cXnIUF5+kf04hQn79FxWV47L2vfS4/WtOE21/faWj6aTAsAJbMyfPbd2rxxUMRFWkN6ja2GOyzBsBQ8AwAIs0m1MKOhhZnxo4kATFRVkiKBvVFxWWGyu0EW2IUCgZmYHVJOX6o8i2LPGmwcXx6nBXHTzVj/sQsPHDhEJ9zrWBgBmyJUSivbtRcW3p8JAoGZmiep5FW50e5uKgI3WOJvn4FAzNwpKoBgDM/ymKxQDI5g6Zmk0n1XLZYzK7tpbbrJedlFrP6PhX1rRr3yHc77/1tSbGG9jXCOQWzCdsP16JgQCoG9IgPel3K64y4eERPXDSybWr9+LN6ICnGojt4ICnGgvFn9WBfMYP4+YHCHc9hCmfd5fwN5D4YG0Wl8NRTTyEtLc3n8oyMDDz55JMBHSs9PR2DBw/W/cdqdX5I/+GHH3Deeedh9OjReOWVV2AyBbx0IiLqJJsN9HrSc/EIm98vlGaThEtH9jJ8zGG9k7rcl1TRVF6NCIosebfEo5l7KIlJnUkxvh8kkmMseKGdwbsOmSzoegq3HToJwNnkf+N3le7HyEijfm9XndMXADSfC6N6JkcDAM7qEa96rompq3rumJKje56aXYHCYzVN7nV7b+09UEHEFsVjIqZran20EoMUlOddi2uogkVjEoDRJvhq243JSkFmQmgn94pzrz3rMnKd0qv/O4ii4rZBGWaThKWXDdPdZ+llw7rc+xIRERE5BRyFOnToELKysnwu79evHw4dCs30M28ieNa3b188++yzOH78OMrLy1FeXt4ht0dERKHV3sDJOzvLDAWNEqKN/4L07dHaDgtEBctfoNGZTeOcLNhRCvNs2PrwdLx201gsPH8AFp4/EK/9dCy2PDy93ZlvoZ4saJKAE6ec2TwrvigF4AzszF2xEROWrUFRcVlQwdv+aTHtDvqaTRLiI53ZYWJSpprCPBuWz8tHSqx6Vt/5g9M19y0qLsMjrmb7+0/U4Tcff4PEGAsSvQKgmYlRHpmLIjtPdMF1B9Ak9XWKgI5nAM2he9/GZKXAlhil2yEsMdqiOunWbJKw+OKhOnsGTpx7Yl1aJDgzEPUm8Po7hvJY3gFvEaT2DhBmJkS2O0BNREREHSvgEs6MjAzs2rUL/fv397h8586dSE3tmH4Nq1evxr59+7Bv3z707t3b47ogZiAQEdFpduCE8QmPakTQSK8vkN0hY9Vm4z/kPPHeHvzfulIsmp3bZb60flxi7IehDsnkUjCbJIzPScP4HN+M8/YQgQe9kkU1EqC6vV78s7y6EQtWbsON4/sHtkg4gy1GnwstSTEWiIGfZj9Z84V5NiTFWHHVSxuRER+J3101Ctf830a0OoAIjX2LisuwYOU2n8elur7F47IV14zGlCGeJYEmrww09zq1AmheATegLYCmlYEmsusW6JQEXzyip2a2VWGeDbdMysKLa0s19zdClK6KgJjZJOHiETbN48poy9TTIu6bv3JnZcBb+d5VmGfD9NxMbC6txLHaRmTEO9fHzDMiIqKuLeAMtLlz5+KOO+7Ap59+CrvdDrvdjjVr1uDOO+/EVVdd1RFrxPXXXw9ZllX/ISKiri3QwJaW8hr9oNHm0krD/bXcx3QFWZRlVp3F7pDx1o4fDG0b6kyu08VIyaK3u6edhUyvbB8jcQbxCcHoYyokx1hwsq4Z/7f+gKHtvTPH0uKcf0dFmNHqcAWZDCxYDD2IsphRMCAVrgpJ1aCKXlmq9+zSMdmpPscQmWbeJZwa8TN3xppd8bmrqdXh/veG/RWq2Zwiuy7RKzM00nVfR/RJUr9BOO/jOzvb97r0Ll0FnIHH9gblAOd9u8lgcFYt4G02SSgYkIo5I3uhYIDvc0RERERdT8AZaI8//jgOHDiAqVOnIiLCubvD4cC1114bcA80IiLq/oIJbKmpPKV/jGCyskSwYcm7JZiem9mpX2I3l1YaGoCQGmvVLS/r6kRQ5aG3vkKFn/trS4zCwikDsXDKQHe2zonaJjz+3h5DtyUDqKxrQUqsFSfrmg1lvTlkGY/913/vM5HZ9Pl952PrwZPuTKJoixmX/Gk97A4Zra6gkpHzyqzoM+ZwyO5sL7V9jZT6Cmo3LS5yl3D6Wad3CWdRcRl++ZazdPR4bRPmrtgIW2KUajZnYZ4NDc123P2PnTirRxyWXJyHP376Ldbtq9ANhLa3hBZwPj/KNdkdMha/s9vvfkbfD6blZhoKtIZrwJuIiIg8BZyBZrVa8cYbb2Dv3r147bXX8Oabb2L//v14+eWX3Q3/iYiIhFCVG2r1iBKC/ZJ6OvqKGWH0cZozUrvsLVwU5tnw9/kFfrcTwyOU2Tpp8YE3l79kZE/D21Y3tPrNdgTaSv2sESaPTCJLRFu2lgg46fVAE8Rz2upwuANvysuVAnlNqe0veaWaiZvT7oEmtpPdpaOVdc0e2+hlc0a4DpASa0XBgFR3gE/vPDbyHOj58dm98fl953sE9IwG842+H4SinxoRERGFj6BHWebk5OCKK67ARRddhH79+oVyTURE1I2EKvsiMzFa9/rR/ZINlfZp6ei+Yv4YfZym52Z28Eo6XlFxGa5escHvdmrDI4I5n6bnZmL5vHwkBTBkwp8bx/dX7Z0ngkIOh+yeVOmvBxrQFmSzO2R3SSXgnCrqLZDHQC0o1tYDTYIsy+7STK0AWtsUTodu6SigPiW27TGB6ziiZFT7Besv49Sff2w5jMnPfOoR0AvkNW5kW72SZLXyUSIiIgpvAQfQLr/8cixbtszn8qeffhpXXHFFSBZFRETdh5FpfP6+XxrJ4th68KRuU3l/0mIDz2wKJSOPU1KM+tTCcFJUXIZbV27DCQPlqmqZQEYeJ0GZAVSYZ8Mfr84PbtEqtAKZIuDlzEAz3gMtwp2BJvvNQPP3GCgv95eBJsuKKZwanwpFAK220R7UlFiTVw81cfe0hhYA/jNOjfDOigsk8Gh028I8G1JjfNcqScDNk7K6zIASIiIiar+AA2hr167FzJkzfS6/8MILsXbt2pAsioiIug9llob312XJ9c/8iVm6wQAjWRztziDr5CQR8TjpxQCr6luwup3TITuT3SHjgTe/Cmgf7+dV73xSUssAGped6m7WryUpOgKZCfoBOr2ArknRyyygHmiu6JXdIcNu1w+gGcl8cm+rk4EGOINera6BADUNLaoDAcTmNQ3+g56A+nMGtGWetfVc0z6Gv4xTI7yz4sZkpSAzwX+gPJCyy/d3laGivtnncocMvLS2tEsMKCEiIqLQCDiAdurUKdVeZxaLBTU1NSFZFBERdS+icbz3NMXMxCgsn5ePB2fmYvm8fJ9+QjbX9UayONpbKnqinSVjoTA9NxNJMdplhmLggdrEw3CwcX8FquqNBWEEtefVPd1R57HKDODc8SBJePQi/QCdXkBXWcIZSA+0CEWQSTntUitLSzwGYuqnkJkYhaWXD3f/bfKTgfbh7qP4xb93AQAOVTZg7oqNmLBsjTvwU1Rchjvf2AEAqDIYQPN+ztwlo677ZZf9l3D66y9mlDIrzmySMMdAPzzRe8+f93cdwcJV23S3CefXKxEREXkKeArnsGHD8MYbb+DRRx/1uPz1119Hbm5go+mJiOjMUZhnw/TcTPc0xYx4Z5aH+KLq73p/xBfu8upGQ9MWvXWFSXmbSyt1A0zKYEDBgNTTt7AQ2fDdiYC2T/ZTslqt81g9MmuIT/Bsc2klml3ZVlqq6luQHGvF8nn5WPJuiU/J4u1TBuoG5ZTliq2uTLIIAz3QzIoSzqZWu/vyTaWVmq+Dwjwb+qXG4sLffYHYSDP+fO05GJOV4g4Ga710lHGru/6xy+f1Ikofb56UhZfWlhp+PYnJpN7PmcmjrFV2Z7J9e7QW04b00M2yW7ByW1CvZ2/Hahthd8j4z44jfrd9Z2cZflE4RPe9p6i4DD/7+3bd44T765WIiIg8BRxAe+SRR3DZZZdh//79mDJlCgDgk08+wapVq/DPf/4z5AskIqLuQ0xTDPZ6f8cWX7gloN1f+juD0TLUzh54ELzA6mS1nkO7Q9ZsZi88/t4ezMjzWkjt7AAAPu1JREFUzCQK5PGdM7IXpudm4uoVG7FR0dOrIFv//HSXK9pl1De3AgB2H6lGXq9E3YCMuwea3YE5z693Xz53xUbYEqOwaHauauDO4qqDjDCZ3K8du5/SUeWwAL2BACu+CCx4Bqhn54ksupN1LZiwbI07KPnsR9/gtU2HNO+byLJTC2QGKiM+KuApnFrvReL8Myp8X69ERESkFHAJ5+zZs/H2229j3759+NnPfoZ7770Xhw8fxscff4xLLrmkA5ZIRERkjFapqCiLVOvBBnSdSXlGs+C6QrZcMAINjlbVt/g0pAecmWT+AipqzewPnKgzdLvi8TWbJGQkeD7W/s4TcX2LQ8ZJV4bcL98q9iiL1NvPIQPHaj2DPN7N8FX3U5QJigCa9lRN3bvgFkjloV7JrFjjD1UNPs+b3n0DnK/pdfdPwSOzhhhfjBfR06y8usHwPnpBLyPnn1K4vl6JiIjIU8AZaAAwa9YszJo1y+fy4uJi5OXltXtRREREwdIqBV1dUu6TyZKpk9nTGfyVoXalbLlgjMtOhcUEtOhXUXpQC2QYzehZXVLukZW1avMhv/t4N5CP8Io2+etn9tne46qXi0CRVpBJ0snOk9HW/256bqZHEE85vdO9vZhyqREp07utQGWlxeLJS4fpl1vrBOL07ptgNkm4fnwW/ryuNKhMtEdmOQPklXW+zf616AW9Asko81eGTEREROEj4Aw0b7W1tXjppZcwZswYjBgxIhRrIiIiahdRCjpnZC8UDEiF2SS5M1lWzR+H3101Eqvmj8O6+6d0meAZYGy6YlfJlguG2SRh6pAeAe2jFsgwmtHznx1H3NlYRsv3rjqnr2eAyitgZtbpZ2Z3yHjuo72q13lPhPS243CV7rqU/bSUlP3F3Otw/bfWAAKd3v0B65cS7X6Nadl7VH/IlNZ9UzKbJFw8IrjXanKsc9BCSpz/CZwAkBStH/QKJKOM4wOIiIi6j6ADaGvXrsW1114Lm82GZ599FlOmTMHGjRtDuTYiIqKQUgusdUVq0yWTYizBTZXsYq4p6G942xirWTWQMSYrBSmx2hM4hYq6ZndQxmjWUP+0GI+/vQNm3hlpSs6sR+0gnV6gqLLO2BRY7/shgmSqJZwGeqDpvQJMkv+udZlJ0X62AGoaWv1uA+g/R3aHjHd2apfA6lldUg4AyEwwFvi6YXyW7ntDIBNCtcqQiYiIKPwEFEArLy/H0qVLkZOTgyuuuAKJiYloamrC22+/jaVLl+Kcc87pqHUSERF1e0XFZViwcpvqJM6TOhMnw8m47FREWYx9/JiZp13Sd+nIXoaOIYIygfY/EwIp4fzYFagxuiYlo8Ed7/WJ+J4yA80hix5o6sdQXq5VKiwBmD8xS3V/5WEjzf6fy5Q4q99tAP3MrkD7jimJTEQjga+kGAsWThmou41epqgaDhEgIiLqHgwH0GbPno1BgwZh165d+O1vf4sjR47gD3/4Q0eujYiI6Izhb7Kk6BOlVv4XTswmCc9ePtzvdhKAJy/T3i4h2n8GGuAMyhjtf6bWr8o7gFf8Q7Xqc1BUXIb/W3/A8Jq8jc3SH7Agwbc/G9CWgSbLgOwKnPmbwikpMtCWXTYUiV6PpRgI8ODMXCyfl480rwBYZmIUpuc6S3EtBgJoeT0Tda/Xum9K7QlCiUxEEfgSAUI1Sy8bZigzdXpuJqIijH2M5hABIiKi7sFwAO2DDz7ATTfdhCVLlmDWrFkwm80duS4iIqIzir8MGyN9osLFRSN7YXpuhu42N0/KglUjQBHoQACj/c9a7L6BscMn6z3+/vk/d/lM1BTBT3/0AkWWCJNmUEev/53ybxE4C2QK53lnpeMXhYMAAHk9E3x6Axbm2fD6zQUAgKgIE1bNH4fP7zsfFtdBjtY2+Q3qKp/HYCfhtjcIJQJwWpN6bYlReCGAEumN31WgsdX/NIyUWCuHCBAREXUThgNo69atQ21tLUaPHo2xY8fi+eefx4kTJzpybURERGcMoxk23aUcbMW152D+xCyfhvYmCbhlUhYenKldIhfoQACjj9mpplaPAGVRcRk+3nPMZzsxUVME0YyWF8rQDhTZHbL78rhIzx8pRUaYWnBH2edMlHGKEk4jGWiyovSzZ5L6QIBIVwBMkiRUNzRj8jOf4v1iZ7nquzuP+AQUfW/P+e+EqAifwJXefVMKpO+YGmUALhQDRf63z9hn4DH9k7tsr0UiIiIKTITRDceNG4dx48bht7/9Ld544w28/PLLuOeee+BwOLB69Wr06dMH8fHxHblWIiKibstohk13Kgd7aFYu7psxGH/bcAAHK+vRLyUG1xT018w8E4wGxKobmgEE9piJY+tllcloK6mdnptpeD03ju+vGqQpKi7DkndL0OrK5DrVZAcAJERH4MV5Z2NMVopmECYiiAw0wBnUkmXAIbcNINC6DRGka7E7sGDlNp8yYxFQ1AqEieNaI0xYd/8UjFjyIU412fHsj4bj0vzehgJMZpOER2YNwc/+vt3vtt5US19dA0WC9UNVg6Htoiys2CAiIuouAp7CGRsbixtvvBHr1q3DV199hXvvvRdLly5FRkYGLr744o5YIxERUbcnMmz0yvj89YkKR9YIE26amI3H5uThponZfoNngPGAmLJ5vJGpncpjB1JSa3Q903MzfS4TgyPUbqumoRXVDc26ASZlkEwEzkRFpZH9ZPgPuIk+a60OWbVHn7hMq0ef2F9k2YkMuPx+gWVnJUYbG0bg7cqz+4Q8C6yngemjgWxHREREXV/AATSlQYMG4emnn8bhw4exatWqUK2JiIjojKOc7Bdsn6gzxZisFMRG+s/sUTaPf2JOnt/tlQHKQEpqgw1++hscAfgfHKE8Hxyullz+SjiBtj5oDll2B9xMGtsbOef0evSJ43pnyEWYAvsYuuG74FqHtHbA4I3xA9NCuh0RERF1fe0KoAlmsxmXXHIJ3nnnnVAcjoiI6Iyk1eDcaJ+oM4nDYFCkvMYZCJs5vKffwQUXj7C5g0WBlNTqBT8FteCnkd5p/gZHmJUZaK7AWYuruX1dUys27K/QDcA5yzhFBprGbQQQtFULPIo1imW0uoY1mM2BBoODDR6HPoA2LjsVSTH6WY3JMRaMyw6+TJSIiIi6lpAE0IiIiCg0QtHgvLvbXFqJhhb/ExABoPKUc9iA3SGj+Ica3W3f2VnmDjadrPM/pECZVaYV/ASgGfwMxeAIk1cPtKLiMixctd21XxPmrtio2uTfXcIpy20Za35KOI1QCzya3AE05+20ulLlLAFmUwbbs6wgO/RZYGaThKWXDdPd5qnLhjFjlIiIqBthAI2IiKiLEQ3O54zspToV8UwXyCTSlFhn36xAsr3sDhmPv7fH77EfmeWZVSaCn1GKPm5RESbN4GcoBkfYHbI7c+yltfuxYOU2VNY1e2zjPTUUUJZwAnZXLFLSCJQpKy2D6dEn9rc7ZDgcsqEebWqMZH15S4qxYFw7hgXoKcyz4YV5+chM8Hx+bIlReIEZo0RERN2O4SmcRERERF1BIFM1MxOdTdw/Lik3tP2x2kZDwTYASI71bWpvNkmwRJjQ6CqjtJi1f6sUvdPKqxs1iwz1BkeI6Z0iILXii1LV7bynhiob+TuUGWgaS/XuVSbBsyjSX48+cZlDlt1lpmrH9Udkfd26cpvhfZZ2cBZYYZ4N03Mzsbm0EsdqG5ERH6U7NZWIiIjCFzPQiIiIKKyMyUpBZkKk3+1E8MnukPHWjh8MHTsjPqrdpZXK4EmETp+vYHunAfrTO9V4N/kXyWYy2vrJaU3hVMa5nvvxiIB79CmncCr7sQXeA00768tbZkLkacsCY8YoERHRmYEZaERERBRWzCYJiy8e6jcTSQSfNuyvQGVdi9/jpsZaMSYrRbdpv5JWJpyyZ5jZT5aV6J225N0Sn2BYri1BNQBkZHqnFhH08+yB5rxOcwqn4v5MGZyBOSN74cLfrcU3R0/h7mlnYeGUgfoTP90ZaECLva13XUSQgSa1rK/R/ZKx9eBJZoERERFRh2EAjYiIiMKOyER64M2vUFXvGRxLjrHgqcuGuYNPRjPK5ozsCbNJMlRamRRj0SytVAaijASJREDovGc+xfcnGzB+QCrW769QHUgAGOvnpkUE/cSqHI626Z1GpnDaHTLMJgnRFjMAYFjvBL+BKmVmW4tdWcIZfIBLZH0pBTtkgIiIiMgIBtCIiIgoLInA08b9Fdjw3QkAzqDKuGzPMrq0WP/lngAwdXAPAG2llXoZblX1LVhdUq6aIabM2NIr4fTYxyQhIdoCnGxw/hvaTfYDGaIgSHCWWoqgnzsDDc4sNO91e+wrSTBJYuCAc9tmVyDMUB8zRRRyw/4K938zQ4yIiIjCCQNoREREFLbMJgnjc9IwPidNeyOjcRrFdtNzM5EUY/HJblNuqmzK770mobHFjg37KwyVFIqMrCbXAAKtDK1AhiiItQKe/dRErMwht/Ul05rCCTjvk8PeNgSg1VWK6S9AWFRchkXv7Hb/fdvfnUFJk6R/e0RERERdDYcIEBERUbd24lRTwNttLq3UDJ4Bvk35lRpb7YpjNmPuio2YsGwNiorLdG/f7A6g2T3+9iZKTI2Gn9Sa/LuHCCh6oOn2MVMMAgDaeplZdaaMikEHR2t8H3+HDL+PBxEREVFXwgAaERERdWtGM7aU2wU7ibOouAwVp5p9tiuvbsSCldt0g0aiHLKpRT8DTW96p/LvXFs8Vs0fh3X3T/EpNW0bIuDMQnNeprk091ocrhkAopdZhEYAzciggyXvlnhM5SQiIiLqyhhAIyIiom7NX8aWBMCm6A8GAAdO1Bk6tjLoJoJGakSYSC9oZPYq4dSb4Cmmd3oPGshMjMLVY/sCAHomxaBgQKpqZpkIoDlkwOFaj9YUTuV1rQ4H7A4ZdU2tAIA9ZdWq98fIoIOy6kZsVPREIyIiIurKGEAjIiKibs1IxpayP5jdIePl9aV+j+sddPMXNNIr+wTa+ok1tjiDUz+crMeG/RWaAbfCPBvW3T8FPRKcQxKWXJyLdfdPwWBbgvN4OgEx9xROWVZM4dTvgQYAn39zHBOWrUFVg7O89cE3i1XLU41m8N32d/2sPCIiIqKuggE0IiIi6vb0Mra8+4Nt3F+B6oZWv8e88uw+HtldwZZ9CuJY352od66jtNJv/zSzSUKs1TkTaogtEWaTBLurP5lZp8G/MlYmix5oegE013VL3i3xCRKqlacaLZutamjxW9pKRERE1BVwCicRERGdEQrzbJiem4nNpZU4VtuIjPgo1emYG747Yeh4raIhmEswvdaUKl1DDLwzzkSAyjvQJ5hMng3+W13/1stAayvhbJvCqbW53SG7p26qkeE7lVSUzZZXN+r2QRO0JpoSERERdRXMQCMiIqIzhtkkoWBAKuaM7KXZH8y30FOL53YiaKS3tXfZp2B3yNh79JTqfv76p5kVwTBxLMDfVE249lEMEVDZvqi4DBOWrUF1o35Gnnd5qrJs1h9/pa1EREREXQEDaEREREQKBQNSg9pOL2ik1mtNaXNppXt4gBq9IJM5wAw0u0NGo+u2vvqh2p1J590Drai4DAtWbvM7DEBJWZ4qymaToi0B70tERETU1bCEk4iIiEhhXHYqkmIsqKpv0dwmOcaCcdm+gbbpuZnITLCivKbZ4/LMxCgsmp2rWoIJtK9/mncArS0Dzfd30qLiMix5twQnTjnXt+S/XyPaYvY4jjjGkndLDJVfKnmXpxbm2RAfZcHVf94U8L5EREREXQkz0IiIiIgUzCYJSy8bprvNU5cN88kkKyouw+gnVvsEz2IjzXhk1hDN4BnQvv5pRnugaWWUNbTYAQDfKkpI/U0U9aZXnjouO1W3KFZvXyIiIqKuggE0IiIiIi+FeTa8MC8fmQmeAStbYhReUGnmX1RchltXblPNWqtrsuNnf9+uO2lyTFaKOxNMjV6QSQzbtLt7oLmmcAaYUfbh7jI0u0o7Aymn9FeeajZJiLKof+T0ty8RERFRV8ESTiIiIiIVRqd22h0yFr+z2+/xHnzzK81Jk2aThNH9krBuX4XPdUYCVADg0MlAM5JR1tDiwLinPsGTl+YFVE7przwVAKIsZjS0OBAfFYFaxUACI/sSERERdQUMoBERERFpEFM79WwurUR5TZPfY52sb8HG7yowfmCaz3V2h4wojQw0f0Em0fzfnYFmd/VAM7cF0IxmlFXWNWPBym34409GwZYYhfLqRt2stdd+OhbjsrWmmfqu8acTsvCbj79FVlosnrx0mGpAkoiIiKgrYgCNiIiIqB0CKXfcsN83gCYa+3tniJ3TLxn3XDDIb5DJyBTOQBv0P/7eHjwyKxe3/X0bJEA1iGaNMKkGA9WIPm1ibenxkYannRIRERF1BWHXA62pqQkjR46EJEnYsWNHZy+HiIiIznCBBKdkr1CUVmN/APjy4ElUNzT7zdBSBtDsDhk/nGwAAJRVNbiDamOyUmBLjNJt5t+2RqCsuhHJsVYsn5ePzETP+5ceHwkAiIow/jHS7MpAa3L1WPMecEBERETU1YVdAO0Xv/gFevbs2dnLICIiIgLgDE7FRRr7SJUUbXH/t5HG/kveLXEHwbSIANqO76swYdkarN5zFADw5vYjmLBsDYqKy2A2SVg0O9fQGoVjtY0ozLNh3f1TcFaPOADAPdPPwqs3nAPAmYFmlFijGFLAsk0iIiIKN2EVQPvggw/w0Ucf4dlnn+3spRAREREBcAaDrhjdx9C2aXGR7v820ti/rLoRm0sr9W/fld311w0HfY5XXt2IBSu3oai4DIV5Niyfl4+UWIvaYXyIzDqzSUJStBUAMDAjDq5Wa4gwGf8YKTYVGWgWc1h9BCUiIiIKnx5oR48exfz58/H2228jJibG0D5NTU1oampr6ltTUwMAaGlpQUuL75j5cCTuR3e5P3Rm4flL4YznLylNHZyOV/530O926XEW9zlTVlVn6NhlVXVoaUnQ3kB2aF8F5xTPJe/uxnk5qZg6KA1f/Hwyhj/+Mewau0kAMhMjMap3vHutkuSMmjW3tKK+qRkAEGGWDJ//It+sscU5gdMEma8dChrffync8RymcNbdzt9A7kdYBNBkWcb111+PW2+9FWeffTYOHDhgaL+nnnoKS5Ys8bn8o48+MhyECxerV6/u7CUQBY3nL4Uznr8EAA4ZSLKaUdUMQLXTmIwkK3C8ZCPe3+O85LtqCYD65E2l73bvwPuHt2teX3rEBL2iAmdPsyY8/0YRchKdgbAUqxnHG8V4AMljaxnAhT3q8WHRB+5LT1Y6b2Prtu3YZ5UBRKDmVD1+t+oDDEiQ4a8is7HeDEDCwUOHAZhw/NhRvP/++/o7EfnB918KdzyHKZx1l/O3vr7e8LadGkB74IEHsGzZMt1t9uzZg48++gi1tbV48MEHAzr+gw8+iHvuucf9d01NDfr06YMLLrgACQk6v+SGkZaWFqxevRrTp0+HxWKsJIOoq+D5S+GM5y95s/Q/ittf36na00yChCcuG4EZQ3u4L7M7ZPzrubU4WtOk2QfNlhiJhVdO0u0Z9vL3G4HaGr/ryx46EjOH2wAAfzm8Cce/r0ZStAVVDa2K24vCQxcO9lgnAPzr+FZ8U10BKa0/XttVDqAFNS0Sni8xIzMhEg/P9N1H6ff71uNYYx1SMzKBimPo3bMnZs4c7nfNRGr4/kvhjucwhbPudv6KSkUjOjWAdu+99+L666/X3SY7Oxtr1qzBhg0bEBkZ6XHd2Wefjauvvhp/+ctfVPeNjIz02QcALBZLt3iilbrjfaIzB89fCmc8f0m4aGRvRESYseTdEo9eZLbEKCyanYvCPJvH9hYAiy8eigUrt0HkgnlbNHsooiKturcbG2ns/LMlxbrPVZMrILf4oiF4Ye0BfH20FndOzcEdU3NUg3URrp5lf934vc91R2uacPvrO7F8Xr7PfXTv72qC1uoaiGC1mPm6oXbj+y+FO57DFM66y/kbyH3o1ABaeno60tPT/W73+9//Hk888YT77yNHjmDGjBl44403MHbs2I5cIhEREZFhhXk2TM/NxObSShyrbURGfBTGZKVoZpCJxv7eQTcAmD8xSzMgpZQR7/tjoZKzp5lzHYLJNXhAkiTERjk/Dg6xJWiuU69Es63PWgmm52aqHkME7Jpa7QCAH6oasGF/he5jQ0RERNSVhEUPtL59+3r8HRfnHKU+YMAA9O7duzOWRERERKTKbJJQMCDV8PYi6Lbknd3468a2QQSj+yUbvL22/mfemWwiNLVodq5HoEr8t0OW3VlhETqBrGpFmacaZ58158RQtfsuDv3lgZMAnBNI567YqJmdR0RERNTVcIY4ERERUSczmyQM7BHndZmxj2mu6krMGdkTmYlRHtdlJkaplla6EtBglwG7w+Feg5ZWh/akT6VjtY2ql59qcgbgWuyeharl1Y1YsHIbiorLDB2fiIiIqLOEZQCtf//+kGUZI0eO7OylEBEREYWEdwBr39Fa2B1a4wV89xuYHod1909BTkYsAODuaWdh3f1TVLO7zK4ImizLsDvUb18pyuJ/WigAZMRH+Vxmd8g4UtWgur24d0veLTF0X4mIiIg6S1gG0IiIiIi6m6/LPKdALftwLyYsW2M4O2t3WQ02l1a6g13Deuv1NGsr4RQZaHolnEb6rNm8+qwJm0srfTLPlJTln0RERERdFQNoRERERJ2sqLgMf9t4yOdyfyWORcVl+M+OI67/LsfcFRuxp6wWAGAxa3/Mc5dwOtomY5p0AmgResdy/du7z5qgVdYZ7HZEREREnYEBNCIiIqJOZHfIWPJuiep1eiWORcVlWLByG+qb7R6Xi4DYtoNVmrcpAl2yLMNhYIiAKPm8ZGRPJER5zqDS6rMmqJV1tmc7IiIios7AABoRERFRJ9pcWomyau3sK7USRxF00+sa9teNBzT7iokSTrtiCqdeDzR3n7WMOPzs/AEAgHP6JWPV/HGafdaEMVkpsPrJYNMq/yQiIiLqKhhAIyIiIupEwZQ4+gu6AUDFqWbNvmKihNMhwx1k0wugifJOuwPuoQNZ6bEoGJCqu5847gDXYAOfdbj+rVX+SURERNRVMIBGRERE1ImCKXFsb18x5RROIxloEe4AmgMtrgiaXo81b1r30V/5JxEREVFXEeF/EyIiIiLqKGOyUmBLjNLMKJPgDDQpSxzb21fMXcLpUPZA8x8Q21Neg1ir8+NjIAE07+DcFaN747L83hiTlcLMMyIiIgoLzEAjIiIi6kRmk4RFs3NVr9MqcRRBN73QU1K0BaP7JateJ2JlDhmKDDT14xQVl+HfWw8DAFaXHMPbrqmfh0/W69y61+1Jnisd3S/ZUPknERERUVfBABoRERFRJyvMs+GuqTk+l2uVOOoF3YSqhhZMfuZTFBWX+VxnUpRwtvVA8/1YKCZ91nlN+gSAj/ccUz22Gu84WSDZa0RERERdAT+9EBEREXUB3lMo/3R1vu6Ey8I8G5bPy0dcpHZHjvLqRixYuc0n0CUCWi0OB5pbnT3Nvjpc5TG108ikzyXvlmhO+lTyzjSzRPAjKBEREYUXfnohIiIi6mRFxWW4fdV2j8uWvLsbq0vKdfcrzLPhlsnZmteL0JZ3oEtM1Xzh8wNodg0FuOP1HZiwbI072GZk0mdZdaPmpE8lk1cAzWpm6SYRERGFFwbQiIiIiDqRKJOsqGv2uPxYTZNq9pi3o36CXDJ8A11Hqpz7nGpq9dhWmbFmdNKnvyAf0Db1U/ju+ClDmWtEREREXQUDaERERESdRK9MUit7zJtafzI1IiBmd8jY8X216jbK20yLizR03JfXH/Ab5Cuv8QzGPf3hNx7ZbkRERERdHQNoRERERJ3EX5mkWvaYt4Qo7R5oShnxUe7bbGjRDrqJ24QM2BKj/B5Xgn6Qr6i4THX9Wv3ZiIiIiLoiBtCIiIiIOonRMkm97bLTY3X3leAMhIkhBUZv80Rdk99Jn4B+kE9k2GntBxgfREBERETUmRhAIyIiIuokIivMnwMn6jWvs5jNmteJzmOLZue6J2Eavc2M+CgU5tlw0/j+hrZXC8yFIsOOiIiIqCtgAI2IiIiok4zJSkFmgv9eY69/eUgzS8vs+jQ3rFcC0uOsHtdlJkZh+bx8FObZPG4zxqofdFNmrE3LzfS7PkA9MPexgQEDgPGsOCIiIqLOwgAaERERUScxmyTMHdPX73Z6WVom14TL1LhI/PWmsQCA2EgzVs0fh3X3T/EInonbHOsKjnlTy1gbk5WCxGiL5tq8A25CUXEZ/m/9AT/3zMloVhwRERFRZ2EAjYiIiKgT9U/T72EmaGVpiUCX3SG7s9TiIiNQMCDVfZ237LQYAECUxfOjoFrGmtkk4ZKRPVWPoxZwE2vR6n3mvb9a8I2IiIioq2EAjYiIiKgTBdKTTI0IXDlkGa2uAJrFrP8RT2StTRyY6tpe0sxYA4D8fskAAKvZf8AN8N/7TJDhG3wjIiIi6oqMzT0nIiIiog4xJisFtsQolFc3Qq3LmQRnoEorS0sEn1rtMlrsDgD+A2iu+BkOn3QGuSLNJhQMSNXcPsLkPN6IPok4fLIBZdWNePSiIbju3CzV4JfRnmY3ju+vGrAjIiIi6mqYgUZERETUicwmCYtm56pep1Ui6bG/1JaB1tRsBwA0NLdiw/4K1cEDRcVleG3T9wCAPeW1AIC6FjuKist01wg4SzMjzM7/Htk3WXNNRrPqphscUEBERETU2RhAIyIiIupkhXk2/ObKkT6Xa5VIKplcQawTp5pw++s7AADlNU2Yu2IjJixb4xEYKyouw4KV21DnCrQJsgwsWLlNM4hmMbcF0JpbnVlu3uWcSiKrTqswk73PiIiIKNwwgEZERETUBUzP7eH+755JUXjtp2M1e5IpiQy00hP1OFnf7HFdeXWjOzAmGvurlYkKS94tUc1ai3AFy1rsMlrszuutEdofI5VZdWpBNBnAI7OGsPcZERERhQ0G0IiIiIg6WVFxGaY+97n77yNVjfj5P3didUm5330lnRiUCIUtebcEG7+r0G3sLwMoq27E5tJKn+ssrkBXi92O+uZWAMDuH6pVg21CYZ4Ny+flIzNRvZzz8ff26JaNEhEREXUlDKARERERdSJRVlle4xncUmaP6dl37JTu9SIwtmF/haH1qA0AEJli352oR2OLs4Tz7n/s9CkR9VaYZ8Mjs9T7uxm9f0RERERdAQNoRERERJ1Er6xSmT2ml+lV09hi8Nb0ijfbqA0AEFlp3uvwFwSzO2Q8/l6J7mr83T8iIiKiroABNCIiIqJOsrm0MuiySiElxmrotgqy04Jq7P/+riP4zcffaK4P0A6CheL+EREREXUFDKARERERdRK1cslAtxtiS9DdVwTGxg1IdTf217Jodq5HY/+i4jL87O/boZcgphcEC8X9IyIiIuoKGEAjIiIi6iRpcZHt2q6ouAy3r9quuZ8IhYnAmGjsnxAV4bGdWQLumpaD6bmZ7stEealRakEwtXJQNUa3IyIiIuosDKARERERdRajrb9UthPDByrqmjV3y0yMwvJ5+SjMs7kvK8yz4Rczcjy2s8vAbz7+1mMogL/yS29qQbAxWSmwaUzhBLTLRomIiIi6GgbQiIiIiDrJibqmoLbTGz4gpMRa8Pl953sEz4S95eqTO5VDAQIpq9QKgplNkmbZqHd2HBEREVFXxgAaERERUScJtsTRSHZYZV0Lth486XO53SHjnV3lqvsohwIYLS8F9INghXk2XHVOH5/L1bLjiIiIiLqqCP+bEBEREVFHECWO5dWNqtlkEpyBJu/srvY0599cWonqhhbNfcRQAMjQXRsAmCTg+bn+g2BDeyUCX34PAMjvm4T7ZgzGmKwUZp4RERFR2GAGGhEREVEnUZY4eoeS9Eoc29Oc32jw7URdk+bahOfnjsLM4f4zyJT7x0VFMHhGREREYYcBNCIiIqJOJCZjZno129crcRSZa3ohqMyESNW+ZIEE38TaMhI8yznNJgkvzMvHzOE9/R6nqLgMz3y41/332m9OeAwrICIiIgoHLOEkIiIi6mSFeTZMz83E5tJKHKttREZ8lG6WlshcW7Bym+YxG1sdWF1S7hOAG5OVguQYC07Wq5dxepeNFubZMDEnHUMXfejeJis1xlDvMjEp1LsEVAwrYA80IiIiChfMQCMiIiLqAswmCQUDUjFnZC8UDEj1W+IossMSotR/D62ub3FP1PS+navH+jb1B7TLRq0Rnh8ZG1sc2LC/AnaH9hxQvUmhymEFescgIiIi6ioYQCMiIiIKU9NzMxFtNatepxekGqdS2glol41GeAXzDlc1YO6KjbqlmP4mhYphBZtLKzW3ISIiIuoqGEAjIiIiClObSytxtKZJ83qtIJV3QGz8wFSsmj8O6+6folpS+eHuctXji1JMtSBaeyaFEhEREXU1DKARERERhalgg1SS5BlAG5Aep1k2Kkox1ehlubVnUigRERFRV8MAGhEREVGYCiZIVVRchp/9fYfH9f/eejjkpZhjslKQFGPRXVdyjEV1UigRERFRVxNWAbT33nsPY8eORXR0NJKTk3HJJZd09pKIiIiIOs2YrBTYErWDaBIAm2KippiKWVHX7LFdXbO9U0oxOT6AiIiIwkXYBND+/e9/45prrsENN9yAnTt3Yv369fjJT37S2csiIiIi6jRmk4RFs3NVr/OeqKk3FVMIZSnm5tJKVNW36O5TVd/CIQJEREQUFtTnnncxra2tuPPOO/HMM8/gpptucl+em6v+gZGIiIjoTDE9NxNRFhMaWxwel2cmRmHR7Fz3UIBASjELBqS6Lx+TlYLMhCiU16jvK7luy7sUs7y6wdD6jW5HRERE1JnCIoC2bds2/PDDDzCZTBg1ahTKy8sxcuRIPPPMM8jLy9Pcr6mpCU1NbZOpampqAAAtLS1oadH/RTRciPvRXe4PnVl4/lI44/lLXcGHu4/iife/9gme/Xh0Lzx2sTPzTJyjZVV1ho5ZVlWHlpYEj9tobGlV3VZkuT104SA47K1w2NuuO15rLDB2vLaBryMKCN9/KdzxHKZw1t3O30DuhyTLcpdvP/H6669j7ty56Nu3L37961+jf//+eO655/DRRx/hm2++QUqKevPZxYsXY8mSJT6X//3vf0dMTExHL5uIiIiow+yskPDyN6Ibh/f0TBk3nuXAiNS2j3nfVkt4vsTs97gLc+3ISZQN3AYQGyHjymzP2xG2HJfwt33+b++agXacnd7lP44SERFRN1RfX4+f/OQnqK6uRkJCgu62nRpAe+CBB7Bs2TLdbfbs2YNt27bh6quvxosvvoibb74ZgDO7rHfv3njiiSdwyy23qO6rloHWp08fnDhxwu8DEy5aWlqwevVqTJ8+HRaL/qQroq6G5y+FM56/1JnsDhnnPbcW5TVNmttkJljx2b2TYTZJHvscrWnS7INmS4zEp/dMcvdMC/Q2lDaVVmLey1v83peVN56NsZzESQHg+y+FO57DFM662/lbU1ODtLQ0QwG0Ti3hvPfee3H99dfrbpOdnY2yMudEKGXPs8jISGRnZ+PQoUOa+0ZGRiIyMtLncovF0i2eaKXueJ/ozMHzl8IZz1/qDFv2V+gGtgCgvKYZL35xEHdOywEAWAAsvngoFqzcprnPxSN6IirSGtBtbD9c69EzTSgYmAFbYpRu3zVbYhQKBmaoBuCI/OH7L4U7nsMUzrrL+RvIfejUAFp6ejrS09P9bjd69GhERkZi7969mDBhAgBn1PPAgQPo169fRy+TiIiIqEs5VqsdlFL6zcffYFBmnHuQQGGeDTdPysKLa0tVt39pbSlG9U1GYZ7N8G1obScmhIqAnTLrzXtCKBEREVFXZ/K/SedLSEjArbfeikWLFuGjjz7C3r17sWDBAgDAFVdc0cmrIyIiIjq9MuKjDG+75N0S2B3O8JXdIeOdnWWGtjd6G3rbFebZsHxePjITPbfJTIzC8nn57sAeERERUVcXFlM4AeCZZ55BREQErrnmGjQ0NGDs2LFYs2YNkpOTO3tpRERERKfVmKwUv+WRQll1IzaXVqJgQCo2l1bq7iMrthe3UV7dqNMzLQpj/PQvK8yzYXpuJjaXVuJYbSMy4p37MPOMiIiIwklYZKABzrrUZ599FkePHkVNTQ1Wr16NoUOHdvayiIiIiE47UR5plCizDKQs08htXDzCZigQZjZJKBiQijkje6FgQCqDZ0RERBR2wiaARkRERERtCvNsuNs1IMAfUWYZaFmm6Jmm5aW1pSgq1i8JJSIiIuoOGEAjIiIiClMLp+QgKUZ7epQEzzJLUZaplf/lvX0gPdOIiIiIujMG0IiIiIjC1OqSclTVt2heL8Nz0qXZJOHiETbNnmbw2j6QnmlERERE3RkDaERERERhyO6QseTdEt1tYqxmTM/NdP9dVFyGl9aWam5/86Qsj8mYgfRMIyIiIurOGEAjIiIiCkP+ssMAoL7ZjufX7APQFnDTyz57Z2eZRzlmoD3TiIiIiLorBtCIiIiIwpDRrK9X/lcKu0M2FHDzLscMtGcaERERUXfFABoRERFRGEqLjTS0XVV9CzaXVgZVjmk2SVg0O1cza827xxoRERFRd8UAGhEREVE4CiBmday2keWYRERERO3AABoRERFRGDpW22R424z4KHc5pj8n65rd/213yHjgza90t3/gza88+qYRERERdUcMoBERERGFocpTxgJoCVERGJOVArNJwiOzhvjd/vH3StwBsY37K1BV36K7fVV9CzburzC0FiIiIqJwxQAaERERURhKibUa2u7y/F7uHmXJBvqmKQcJbPjuhKHbMLodERERUbhiAI2IiIgoDGUmRhva7oKhNvd/l9cYGyTQtp3RRmscIkBERETdGwNoRERERGHISE8zW6Kz95lgtOxTbFcwINXQ9ka3IyIiIgpXDKARERERhSGzScKi2bmauV8SgEWzc93lm4Dxsk+x3bjsVCTFWHS3TY6xYFw2A2hERETUvTGARkRERBSmCvNsWD4v3ycTzZYYheXz8lGYZ/O43GjZp9jObJKw9LJhuts+ddkwjyAdERERUXcU0dkLICIiIqLgFebZMD03E5tLK3GsthEZ8VHuqZveRNlnWbV2LzTvss/CPBtemJePxe+UePRQsyVGYdHsXJ8gHREREVF3xAAaERERUZgzmyRDfchE2eeCldsgQ4Z383+1sk8gsCAdERERUXfEABoRERHRGaQwz4Y/XDUCD7+5A1XNbZf7yygzGqQjIiIi6o4YQCMiIiI6w8wY2gMtB+xIzx2HivpWZpQRERER+cEAGhEREdEZyCQBY7NSYLHoT9kkIiIiIk7hJCIiIiIiIiIi0sUAGhERERERERERkQ4G0IiIiIiIiIiIiHQwgEZERERERERERKSDATQiIiIiIiIiIiIdDKARERERERERERHpYACNiIiIiIiIiIhIBwNoREREREREREREOhhAIyIiIiIiIiIi0sEAGhERERERERERkY6Izl7A6STLMgCgpqamk1cSOi0tLaivr0dNTQ0sFktnL4coIDx/KZzx/KVwxvOXwhnPXwp3PIcpnHW381fEh0S8SM8ZFUCrra0FAPTp06eTV0JERERERERERF1BbW0tEhMTdbeRZCNhtm7C4XDgyJEjiI+PhyRJnb2ckKipqUGfPn3w/fffIyEhobOXQxQQnr8Uznj+Ujjj+UvhjOcvhTuewxTOutv5K8syamtr0bNnT5hM+l3OzqgMNJPJhN69e3f2MjpEQkJCtzh56czE85fCGc9fCmc8fymc8fylcMdzmMJZdzp//WWeCRwiQEREREREREREpIMBNCIiIiIiIiIiIh0MoIW5yMhILFq0CJGRkZ29FKKA8fylcMbzl8IZz18KZzx/KdzxHKZwdiafv2fUEAEiIiIiIiIiIqJAMQONiIiIiIiIiIhIBwNoREREREREREREOhhAIyIiIiIiIiIi0sEAGhERERERERERkQ4G0MLYH//4R/Tv3x9RUVEYO3YsNm/e3NlLIsLixYshSZLHP4MHD3Zf39jYiNtuuw2pqamIi4vD5ZdfjqNHj3oc49ChQ5g1axZiYmKQkZGB++67D62traf7rtAZYO3atZg9ezZ69uwJSZLw9ttve1wvyzIeffRR2Gw2REdHY9q0afj22289tqmsrMTVV1+NhIQEJCUl4aabbsKpU6c8ttm1axcmTpyIqKgo9OnTB08//XRH3zU6A/g7f6+//nqf9+PCwkKPbXj+Umd56qmncM455yA+Ph4ZGRm45JJLsHfvXo9tQvWZ4bPPPkN+fj4iIyMxcOBAvPrqqx1996ibM3L+nnfeeT7vwbfeeqvHNjx/qTMsX74cw4cPR0JCAhISElBQUIAPPvjAfT3fe7UxgBam3njjDdxzzz1YtGgRtm3bhhEjRmDGjBk4duxYZy+NCEOHDkVZWZn7n3Xr1rmvu/vuu/Huu+/in//8Jz7//HMcOXIEl112mft6u92OWbNmobm5Gf/73//wl7/8Ba+++ioeffTRzrgr1M3V1dVhxIgR+OMf/6h6/dNPP43f//73eOGFF7Bp0ybExsZixowZaGxsdG9z9dVXY/fu3Vi9ejX++9//Yu3atbj55pvd19fU1OCCCy5Av379sHXrVjzzzDNYvHgxXnrppQ6/f9S9+Tt/AaCwsNDj/XjVqlUe1/P8pc7y+eef47bbbsPGjRuxevVqtLS04IILLkBdXZ17m1B8ZigtLcWsWbNw/vnnY8eOHbjrrrvw05/+FB9++OFpvb/UvRg5fwFg/vz5Hu/Byh8geP5SZ+nduzeWLl2KrVu3YsuWLZgyZQrmzJmD3bt3A+B7ry6ZwtKYMWPk2267zf233W6Xe/bsKT/11FOduCoiWV60aJE8YsQI1euqqqpki8Ui//Of/3RftmfPHhmAvGHDBlmWZfn999+XTSaTXF5e7t5m+fLlckJCgtzU1NSha6czGwD5rbfecv/tcDjkzMxM+ZlnnnFfVlVVJUdGRsqrVq2SZVmWS0pKZADyl19+6d7mgw8+kCVJkn/44QdZlmX5T3/6k5ycnOxx/t5///3yoEGDOvge0ZnE+/yVZVm+7rrr5Dlz5mjuw/OXupJjx47JAOTPP/9cluXQfWb4xS9+IQ8dOtTjtq688kp5xowZHX2X6Aziff7KsixPnjxZvvPOOzX34flLXUlycrL85z//me+9fjADLQw1Nzdj69atmDZtmvsyk8mEadOmYcOGDZ24MiKnb7/9Fj179kR2djauvvpqHDp0CACwdetWtLS0eJy7gwcPRt++fd3n7oYNGzBs2DD06NHDvc2MGTNQU1Pj/lWE6HQoLS1FeXm5x/mamJiIsWPHepyvSUlJOPvss93bTJs2DSaTCZs2bXJvM2nSJFitVvc2M2bMwN69e3Hy5MnTdG/oTPXZZ58hIyMDgwYNwoIFC1BRUeG+jucvdSXV1dUAgJSUFACh+8ywYcMGj2OIbfiZmULJ+/wVXnvtNaSlpSEvLw8PPvgg6uvr3dfx/KWuwG634/XXX0ddXR0KCgr43utHRGcvgAJ34sQJ2O12jxMWAHr06IGvv/66k1ZF5DR27Fi8+uqrGDRoEMrKyrBkyRJMnDgRxcXFKC8vh9VqRVJSksc+PXr0QHl5OQCgvLxc9dwW1xGdLuJ8UzsfledrRkaGx/URERFISUnx2CYrK8vnGOK65OTkDlk/UWFhIS677DJkZWVh//79+OUvf4kLL7wQGzZsgNls5vlLXYbD4cBdd92F8ePHIy8vDwBC9plBa5uamho0NDQgOjq6I+4SnUHUzl8A+MlPfoJ+/fqhZ8+e2LVrF+6//37s3bsXb775JgCev9S5vvrqKxQUFKCxsRFxcXF46623kJubix07dvC9VwcDaEQUUhdeeKH7v4cPH46xY8eiX79++Mc//hG2b5REROHoqquucv/3sGHDMHz4cAwYMACfffYZpk6d2okrI/J02223obi42KNnKlG40Dp/lf0khw0bBpvNhqlTp2L//v0YMGDA6V4mkYdBgwZhx44dqK6uxr/+9S9cd911+Pzzzzt7WV0eSzjDUFpaGsxms88kjKNHjyIzM7OTVkWkLikpCWeddRb27duHzMxMNDc3o6qqymMb5bmbmZmpem6L64hOF3G+6b3XZmZm+gxvaW1tRWVlJc9p6nKys7ORlpaGffv2AeD5S13DwoUL8d///heffvopevfu7b48VJ8ZtLZJSEjgD3vUblrnr5qxY8cCgMd7MM9f6ixWqxUDBw7E6NGj8dRTT2HEiBH43e9+x/dePxhAC0NWqxWjR4/GJ5984r7M4XDgk08+QUFBQSeujMjXqVOnsH//fthsNowePRoWi8Xj3N27dy8OHTrkPncLCgrw1VdfeXypW716NRISEpCbm3va109nrqysLGRmZnqcrzU1Ndi0aZPH+VpVVYWtW7e6t1mzZg0cDof7g3JBQQHWrl2LlpYW9zarV6/GoEGDWP5Gp9Xhw4dRUVEBm80GgOcvdS5ZlrFw4UK89dZbWLNmjU+pcKg+MxQUFHgcQ2zDz8zUHv7OXzU7duwAAI/3YJ6/1FU4HA40NTXxvdefzp5iQMF5/fXX5cjISPnVV1+VS0pK5JtvvllOSkrymIRB1Bnuvfde+bPPPpNLS0vl9evXy9OmTZPT0tLkY8eOybIsy7feeqvct29fec2aNfKWLVvkgoICuaCgwL1/a2urnJeXJ19wwQXyjh075KKiIjk9PV1+8MEHO+suUTdWW1srb9++Xd6+fbsMQP71r38tb9++XT548KAsy7K8dOlSOSkpSf7Pf/4j79q1S54zZ46clZUlNzQ0uI9RWFgojxo1St60aZO8bt06OScnR547d677+qqqKrlHjx7yNddcIxcXF8uvv/66HBMTI7/44oun/f5S96J3/tbW1so///nP5Q0bNsilpaXyxx9/LOfn58s5OTlyY2Oj+xg8f6mzLFiwQE5MTJQ/++wzuayszP1PfX29e5tQfGb47rvv5JiYGPm+++6T9+zZI//xj3+UzWazXFRUdFrvL3Uv/s7fffv2yY899pi8ZcsWubS0VP7Pf/4jZ2dny5MmTXIfg+cvdZYHHnhA/vzzz+XS0lJ5165d8gMPPCBLkiR/9NFHsizzvVcPA2hh7A9/+IPct29f2Wq1ymPGjJE3btzY2Usikq+88krZZrPJVqtV7tWrl3zllVfK+/btc1/f0NAg/+xnP5OTk5PlmJgY+dJLL5XLyso8jnHgwAH5wgsvlKOjo+W0tDT53nvvlVtaWk73XaEzwKeffioD8Pnnuuuuk2VZlh0Oh/zII4/IPXr0kCMjI+WpU6fKe/fu9ThGRUWFPHfuXDkuLk5OSEiQb7jhBrm2ttZjm507d8oTJkyQIyMj5V69eslLly49XXeRujG987e+vl6+4IIL5PT0dNliscj9+vWT58+f7/NDG89f6ixq5y4A+ZVXXnFvE6rPDJ9++qk8cuRI2Wq1ytnZ2R63QRQMf+fvoUOH5EmTJskpKSlyZGSkPHDgQPm+++6Tq6urPY7D85c6w4033ij369dPtlqtcnp6ujx16lR38EyW+d6rR5JlWT59+W5EREREREREREThhT3QiIiIiIiIiIiIdDCARkREREREREREpIMBNCIiIiIiIiIiIh0MoBEREREREREREelgAI2IiIiIiIiIiEgHA2hEREREREREREQ6GEAjIiIiIiIiIiLSwQAaERERERERERGRDgbQiIiIiMLE9ddfj0suuaTTbv+aa67Bk08+aWjbq666Cs8991wHr4iIiIjo9JBkWZY7exFEREREZzpJknSvX7RoEe6++27IsoykpKTTsyiFnTt3YsqUKTh48CDi4uL8bl9cXIxJkyahtLQUiYmJp2GFRERERB2HATQiIiKiLqC8vNz932+88QYeffRR7N27131ZXFycocBVR/npT3+KiIgIvPDCC4b3Oeecc3D99dfjtttu68CVEREREXU8lnASERERdQGZmZnufxITEyFJksdlcXFxPiWc5513Hm6//XbcddddSE5ORo8ePbBixQrU1dXhhhtuQHx8PAYOHIgPPvjA47aKi4tx4YUXIi4uDj169MA111yDEydOaK7NbrfjX//6F2bPnu1x+Z/+9Cfk5OQgKioKPXr0wI9+9COP62fPno3XX3+9/Q8OERERUSdjAI2IiIgojP3lL39BWloaNm/ejNtvvx0LFizAFVdcgXPPPRfbtm3DBRdcgGuuuQb19fUAgKqqKkyZMgWjRo3Cli1bUFRUhKNHj+LHP/6x5m3s2rUL1dXVOPvss92XbdmyBXfccQcee+wx7N27F0VFRZg0aZLHfmPGjMHmzZvR1NTUMXeeiIiI6DRhAI2IiIgojI0YMQIPP/wwcnJy8OCDDyIqKgppaWmYP38+cnJy8Oijj6KiogK7du0CADz//PMYNWoUnnzySQwePBijRo3Cyy+/jE8//RTffPON6m0cPHgQZrMZGRkZ7ssOHTqE2NhYXHTRRejXrx9GjRqFO+64w2O/nj17orm52aM8lYiIiCgcMYBGREREFMaGDx/u/m+z2YzU1FQMGzbMfVmPHj0AAMeOHQPgHAbw6aefunuqxcXFYfDgwQCA/fv3q95GQ0MDIiMjPQYdTJ8+Hf369UN2djauueYavPbaa+4sNyE6OhoAfC4nIiIiCjcMoBERERGFMYvF4vG3JEkel4mgl8PhAACcOnUKs2fPxo4dOzz++fbbb31KMIW0tDTU19ejubnZfVl8fDy2bduGVatWwWaz4dFHH8WIESNQVVXl3qayshIAkJ6eHpL7SkRERNRZGEAjIiIiOoPk5+dj9+7d6N+/PwYOHOjxT2xsrOo+I0eOBACUlJR4XB4REYFp06bh6aefxq5du3DgwAGsWbPGfX1xcTF69+6NtLS0Drs/RERERKcDA2hEREREZ5DbbrsNlZWVmDt3Lr788kvs378fH374IW644QbY7XbVfdLT05Gfn49169a5L/vvf/+L3//+99ixYwcOHjyIv/71r3A4HBg0aJB7my+++AIXXHBBh98nIiIioo7GABoRERHRGaRnz55Yv3497HY7LrjgAgwbNgx33XUXkpKSYDJpfzT86U9/itdee839d1JSEt58801MmTIFQ4YMwQsvvIBVq1Zh6NChAIDGxka8/fbbmD9/foffJyIiIqKOJsmyLHf2IoiIiIioa2toaMCgQYPwxhtvoKCgwO/2y5cvx1tvvYWPPvroNKyOiIiIqGMxA42IiIiI/IqOjsZf//pXnDhxwtD2FosFf/jDHzp4VURERESnBzPQiIiIiIiIiIiIdDADjYiIiIiIiIiISAcDaERERERERERERDoYQCMiIiIiIiIiItLBABoREREREREREZEOBtCIiIiIiIiIiIh0MIBGRERERERERESkgwE0IiIiIiIiIiIiHQygERERERERERER6WAAjYiIiIiIiIiISMf/AxmMTh9aPB/kAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "times = []\n", "for i in range(0,3000):\n", " times.append(i)\n", " i = i + 0.02\n", "\n", "plt.figure(figsize=(15, 5))\n", "plt.plot(times, acc_floor_response[-1], marker='o', linestyle='-')\n", "plt.title('Acceleration over Time')\n", "plt.xlabel('Time (s)')\n", "plt.ylabel('Acceleration (m/s^2)')\n", "plt.grid(True)\n", "plt.legend(['Acceleration'])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 复制到所有文件夹" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\1-250\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\251-500\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\501-750\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\751-1000\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\1001-1250\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\1251-1500\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\1501-1750\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\1751-2000\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\2001-2250\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\2251-2500\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\2501-2750\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\2751-3000\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\3001-3250\n", "复制到:j:\\SesimicTransformerData\\MDOF\\knet-250\\3251-3474\n" ] } ], "source": [ "import os\n", "import re\n", "import shutil\n", "\n", "current_directory = os.getcwd()\n", "# print(f'当前目录:{current_directory}')\n", "# 定义你的.bat文件的原始路径\n", "bat_file_path = os.path.join(current_directory, 'save_h5.py')\n", "\n", "# 定义目标目录路径\n", "target_directory_path = current_directory\n", "\n", "# 正则表达式来匹配 number-number 格式的文件夹\n", "folder_name_pattern = re.compile(r\"^\\d+-\\d+$\")\n", "\n", "# 遍历目标目录中的所有项\n", "for folder_name in os.listdir(target_directory_path):\n", " # 构建完整的文件夹路径\n", " folder_path = os.path.join(target_directory_path, folder_name)\n", " # 检查这是一个目录且符合我们的命名规则\n", " # print(f'检查目录:{folder_path}')\n", " if os.path.isdir(folder_path) and folder_name_pattern.match(folder_name):\n", " # 构建目标.bat文件路径\n", " destination_bat_path = os.path.join(folder_path, os.path.basename(bat_file_path))\n", " # 复制.bat文件到目标文件夹\n", " shutil.copyfile(bat_file_path, destination_bat_path)\n", " print(f'复制到:{folder_path}')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "ml", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 2 }