From 1bec0afa211acffec3be0fd9ae276ccde7d40878 Mon Sep 17 00:00:00 2001 From: Zezhi Shao <864453277@qq.com> Date: Thu, 30 Nov 2023 11:03:27 +0800 Subject: [PATCH] =?UTF-8?q?feat:=20=F0=9F=8E=B8=20add=20scripts?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit These scripts are not well-documentated. They are used to generate the figures/tables/mid-results in the paper. --- scripts/paper_scripts/draw_tensorboard.ipynb | 149 ++++++ .../get_main_results_latex.ipynb | 455 ++++++++++++++++++ scripts/paper_scripts/get_ratio.ipynb | 408 ++++++++++++++++ scripts/paper_scripts/prediction_vis.ipynb | 370 ++++++++++++++ scripts/paper_scripts/readme.md | 1 + 5 files changed, 1383 insertions(+) create mode 100644 scripts/paper_scripts/draw_tensorboard.ipynb create mode 100644 scripts/paper_scripts/get_main_results_latex.ipynb create mode 100644 scripts/paper_scripts/get_ratio.ipynb create mode 100644 scripts/paper_scripts/prediction_vis.ipynb create mode 100644 scripts/paper_scripts/readme.md diff --git a/scripts/paper_scripts/draw_tensorboard.ipynb b/scripts/paper_scripts/draw_tensorboard.ipynb new file mode 100644 index 00000000..819d3d7c --- /dev/null +++ b/scripts/paper_scripts/draw_tensorboard.ipynb @@ -0,0 +1,149 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from tensorboard.backend.event_processing import event_accumulator" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "MODEL_NAME = \"FEDformer\"\n", + "DATA_NAME = \"ETTh2\"\n", + "ea = event_accumulator.EventAccumulator('/home/S22/workspace/HowMuchProgressMTS/ckpt/{0}/{1}/tensorboard'.format(MODEL_NAME, DATA_NAME))\n", + "ea.Reload()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "train_MAE = []\n", + "val_MAE = []\n", + "test_MAE = []\n", + "for scalar in ea.Scalars(\"train_MAE\"):\n", + " train_MAE.append(scalar.value)\n", + "for scalar in ea.Scalars(\"val_MAE\"):\n", + " val_MAE.append(scalar.value)\n", + "for scalar in ea.Scalars(\"test_MAE\"):\n", + " test_MAE.append(scalar.value)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "def plot(train_metrics, valid_metrics, test_metrics, line_width: float = 6, font_size: int = 28, color=\"green\", figure_size: tuple = (10, 7)):\n", + " plt.rcParams['figure.figsize'] = figure_size\n", + " plt.plot(range(len(train_metrics))[1:], train_metrics[1:], linewidth=line_width, color=\"#455064\", label=\"Train MAE\")\n", + " plt.plot(range(len(valid_metrics))[1:], valid_metrics[1:], linewidth=line_width, color=\"#52b3c8\", label=\"Valid MAE\")\n", + " plt.plot(range(len(test_metrics))[1:], test_metrics[1:], linewidth=line_width, color=\"#d33e90\", label=\"Test MAE\")\n", + " plt.grid()\n", + " plt.xlim(1, 50)\n", + " plt.legend(fontsize=font_size, loc=\"upper right\")\n", + " plt.xticks(fontsize=font_size)\n", + " plt.yticks(fontsize=font_size)\n", + " plt.ylim(3, 4)\n", + " plt.savefig(\"MAE_{0}_{1}.pdf\".format(MODEL_NAME, DATA_NAME), dpi=300, bbox_inches='tight')\n", + " plt.show()\n", + " plt.clf()" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot(train_MAE, val_MAE, test_MAE)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "BasicTS", + "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": "3.9.15" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/scripts/paper_scripts/get_main_results_latex.ipynb b/scripts/paper_scripts/get_main_results_latex.ipynb new file mode 100644 index 00000000..b25f49fd --- /dev/null +++ b/scripts/paper_scripts/get_main_results_latex.ipynb @@ -0,0 +1,455 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.chdir('../')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. 将checkpoints中inference的结果存储到ckpt中" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# # 删除 ckpt 中的的inference结果清除\n", + "# dirs = os.listdir('./ckpt')\n", + "# for dir in dirs:\n", + "# if dir == \".DS_Store\" or dir == \"STEP\":\n", + "# continue\n", + "# sub_dirs = os.listdir('./ckpt/' + dir)\n", + "# for sub_dir in sub_dirs:\n", + "# if sub_dir == \".DS_Store\":\n", + "# continue\n", + "# files = os.listdir('./ckpt/' + dir + '/' + sub_dir)\n", + "# for file in files:\n", + "# if file == \".DS_Store\":\n", + "# continue\n", + "# if 'validate' in file:\n", + "# os.system('rm ./ckpt/' + dir + '/' + sub_dir + '/' + file)\n", + "# print('rm ./ckpt/' + dir + '/' + sub_dir + '/' + file)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# # 将inference结果复制到ckpt对应文件夹下\n", + "# dirs = os.listdir('./checkpoints')\n", + "# for dir in dirs:\n", + "# sub_dirs = os.listdir('./checkpoints/' + dir)\n", + "# for sub_dir in sub_dirs:\n", + "# files = os.listdir('./checkpoints/' + dir + '/' + sub_dir)\n", + "# inference_results = None\n", + "# model_name = None\n", + "# data_name = None\n", + "# for file in files:\n", + "# if 'validate' in file:\n", + "# inference_results = file\n", + "# if dir.split(\"_\")[0] in file:\n", + "# model_name = file.split(\"_\")[0]\n", + "# data_name = file.split(\"_\")[1][:-3]\n", + "# # copy inference_results to ckpt/model_name/data_name\n", + "# if inference_results:\n", + "# os.system('cp ./checkpoints/' + dir + '/' + sub_dir + '/' + inference_results + ' ./ckpt/' + model_name + '/' + data_name + '/')\n", + "# print('cp ./checkpoints/' + dir + '/' + sub_dir + '/' + inference_results + ' ./ckpt/' + model_name + '/' + data_name + '/')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 读取结果并产生LaTeX表格" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# 给定模型,读取其结果\n", + "def read_txt(path):\n", + " with open(path, 'r') as f:\n", + " lines = f.readlines()\n", + " return lines\n", + "\n", + "def read_model_results(model_name, data_name):\n", + " try:\n", + " files = os.listdir('./ckpt/' + model_name + '/' + data_name)\n", + " except FileNotFoundError:\n", + " return [10000, 10000, 10000, 10000, 10000, 10000]\n", + " for file in files:\n", + " if 'train' in file:\n", + " training_results = file\n", + " # 读取training logs,得到average training time\n", + " content = read_txt('./ckpt/' + model_name + '/' + data_name + \"/\" + training_results)\n", + " # get average trainign time\\\n", + " training_time = []\n", + " for line in content:\n", + " if \"Result :\" in line:\n", + " training_time.append(float(line.split(\"train_time: \")[1].split(\" (s)\")[0]))\n", + " AVG_TRAINING_TIME = sum(training_time) / len(training_time)\n", + " # 读取inference logs,得到metrics以及#param\n", + " target_index = 0\n", + " for index, line in enumerate(content):\n", + " if \"_best_val_MAE.pt\" in line:\n", + " target_index = index\n", + "\n", + " for line in content[target_index:]:\n", + " if \"Result :\" in line:\n", + " break\n", + "\n", + " MAE = float(line.split(\"test_MAE: \")[1].split(\",\")[0])\n", + " RMSE = float(line.split(\"test_RMSE: \")[1].split(\",\")[0])\n", + " MAPE = float(line.split(\"test_MAPE: \")[1].split(\",\")[0]) * 100\n", + " WAPE = float(line.split(\"test_WAPE: \")[1].split(\",\")[0]) * 100\n", + " for line in content:\n", + " if \"Number of parameters:\" in line: break\n", + " PARAM = int(line.split(\"Number of parameters: \")[1]) / 1000000\n", + " return [MAE, RMSE, MAPE, WAPE, PARAM, AVG_TRAINING_TIME]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def get_latex_str(data_list, model_list, metric_list, type):\n", + " # get data\n", + " all_data = {}\n", + " for data_name in data_list:\n", + " for model_name in model_list:\n", + " # if model_name in ['STEP', 'Triformer', 'Crossformer']: \n", + " # [MAE, RMSE, MAPE, WAPE, PARAM, AVG_TRAINING_TIME] = [0, 0, 0, 0, 0, 0]\n", + " # else:\n", + " [MAE, RMSE, MAPE, WAPE, PARAM, AVG_TRAINING_TIME] = read_model_results(model_name, data_name)\n", + " # 全部保留两位小数,并变成str。\n", + " # 注意3.10要保持3.10,而不是3.1\n", + " if data_name == \"ExchangeRate\":\n", + " MAE = \"%.4f\" % MAE\n", + " RMSE = \"%.4f\" % RMSE\n", + " MAPE = \"%.4f\" % MAPE + \"\\%\"\n", + " WAPE = \"%.4f\" % WAPE + \"\\%\"\n", + " PARAM = \"%.2f\" % PARAM\n", + " AVG_TRAINING_TIME = \"%.2f\" % AVG_TRAINING_TIME\n", + " else:\n", + " MAE = \"%.2f\" % MAE\n", + " RMSE = \"%.2f\" % RMSE\n", + " MAPE = \"%.2f\" % MAPE + \"\\%\"\n", + " WAPE = \"%.2f\" % WAPE + \"\\%\"\n", + " PARAM = \"%.2f\" % PARAM\n", + " AVG_TRAINING_TIME = \"%.2f\" % AVG_TRAINING_TIME\n", + " all_data[data_name + '_' + model_name + \"_MAE\"] = MAE\n", + " all_data[data_name + '_' + model_name + \"_RMSE\"] = RMSE\n", + " all_data[data_name + '_' + model_name + \"_MAPE\"] = MAPE\n", + " all_data[data_name + '_' + model_name + \"_WAPE\"] = WAPE\n", + " all_data[data_name + '_' + model_name + \"_Param\"] = PARAM\n", + " all_data[data_name + '_' + model_name + \"_Speed\"] = AVG_TRAINING_TIME\n", + " # print results\n", + " for data_name in data_list:\n", + " for metric_name in metric_list:\n", + " line = [metric_name]\n", + " for model_name in model_list:\n", + " if data_name + '_' + model_name + \"_\" + metric_name in all_data.keys():\n", + " line.append(all_data[data_name + '_' + model_name + \"_\" + metric_name])\n", + " else:\n", + " line.append('N/A')\n", + " # if model_name in ['STEP', 'Triformer', 'Crossformer']: \n", + " # line.append(' ')\n", + " # else:\n", + " # line.append(all_data[data_name + '_' + model_name + \"_\" + metric_name])\n", + " if metric_name == \"Param\":\n", + " if type == \"STF\":\n", + " print(\" \\cmidrule{2-14}\")\n", + " else:\n", + " print(\" \\cmidrule{2-12}\")\n", + " line = get_bold_latex(line=line, data_name=data_name)\n", + " a = 1\n", + " line = \" & \" + \" & \".join([str(x) for x in line]) + r\" \\\\\"\n", + " if metric_name == \"MAE\":\n", + " if type == \"STF\":\n", + " line = r\"\\multirow{6}*{\\rotatebox{90}{\\textbf{\" + data_name + \"}}} \" + line\n", + " else:\n", + " line = r\"\\multirow{5}*{\\rotatebox{90}{\\textbf{\" + data_name + \"}}} \" + line\n", + " line = r\"\\midrule\" + \"\\n\" + line\n", + " print(line)\n", + "\n", + "def get_bold_latex(line, data_name):\n", + " metric_name = line[0]\n", + " line = line[1:]\n", + " if len(line) == 12:\n", + " type = \"STF\"\n", + " else:\n", + " type = \"LTSF\"\n", + " new_line = []\n", + " for num in line:\n", + " if num == \"N/A\":\n", + " new_line.append(1e10)\n", + " else:\n", + " if metric_name in [\"MAPE\", \"WAPE\"]:\n", + " new_line.append(float(num[:-2]))\n", + " else:\n", + " new_line.append(float(num))\n", + " if type == \"STF\":\n", + " cate_1 = new_line[:5]\n", + " cate_2 = new_line[5:10]\n", + " cate_3 = new_line[10:]\n", + " # get min index (maybe multiple)\n", + " min_index_1 = get_min_indexes(cate_1)\n", + " min_index_2 = get_min_indexes(cate_2)\n", + " min_index_3 = get_min_indexes(cate_3)\n", + " min_index = get_min_indexes(new_line)\n", + " for index in min_index_1:\n", + " new_line[index] = r\"\\underline{\\textbf{\" + \"%.2f\" % new_line[index] + \"}}\"\n", + " for index in min_index_2:\n", + " new_line[index + 5] = r\"\\underline{\\textbf{\" + \"%.2f\" % new_line[index + 5] + \"}}\"\n", + " for index in min_index_3:\n", + " new_line[index + 10] = r\"\\underline{\\textbf{\" + \"%.2f\" % new_line[index + 10] + \"}}\"\n", + " for index in min_index:\n", + " new_line[index] = r\"\\color{teal}{\" + new_line[index] + \"}\" \n", + " else:\n", + " cate_1 = new_line[:7]\n", + " cate_2 = new_line[7:]\n", + " # get min index (maybe multiple)\n", + " min_index_1 = get_min_indexes(cate_1)\n", + " min_index_2 = get_min_indexes(cate_2)\n", + " min_index = get_min_indexes(new_line)\n", + " for index in min_index_1:\n", + " if data_name == \"ExchangeRate\":\n", + " new_line[index] = r\"\\underline{\\textbf{\" + \"%.4f\" % new_line[index] + \"}}\"\n", + " else:\n", + " new_line[index] = r\"\\underline{\\textbf{\" + \"%.2f\" % new_line[index] + \"}}\"\n", + " for inde in min_index_2:\n", + " if data_name == \"ExchangeRate\":\n", + " new_line[inde + 7] = r\"\\underline{\\textbf{\" + \"%.4f\" % new_line[inde + 7] + \"}}\"\n", + " else:\n", + " new_line[inde + 7] = r\"\\underline{\\textbf{\" + \"%.2f\" % new_line[inde + 7] + \"}}\"\n", + " for index in min_index:\n", + " new_line[index] = r\"\\color{teal}{\" + str(new_line[index]) + \"}\" \n", + " # convert float to str (保留两位小数)\n", + " result = []\n", + " for _ in new_line:\n", + " try:\n", + " if data_name == \"ExchangeRate\":\n", + " result.append(\"%.4f\" % float(_))\n", + " else:\n", + " result.append(\"%.2f\" % float(_))\n", + " except:\n", + " result.append(_)\n", + " if metric_name in [\"MAPE\", \"WAPE\"]:\n", + " for index, _ in enumerate(result):\n", + " for i in range(len(_)-1, -1, -1):\n", + " if _[i] != \"}\":\n", + " result[index] = _[:i+1] + \"\\%\" + _[i+1:]\n", + " break\n", + " for index, _ in enumerate(result):\n", + " if _ == \"10000.00\" or _ == \"10000.00\\\\%\":\n", + " result[index] = \"N/A\"\n", + " return [metric_name] + result\n", + "\n", + "def get_min_indexes(cate):\n", + " min_index = []\n", + " min_value = min(cate)\n", + " for index, value in enumerate(cate):\n", + " if value == min_value:\n", + " min_index.append(index)\n", + " return min_index" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\\midrule\n", + "\\multirow{6}*{\\rotatebox{90}{\\textbf{METR-LA}}} & MAE & 3.11 & 3.03 & 3.03 & 2.94 & \\color{teal}{\\underline{\\textbf{2.88}}} & 3.16 & 3.05 & 3.72 & 3.13 & \\underline{\\textbf{2.93}} & 3.14 & \\underline{\\textbf{3.12}} \\\\\n", + " & RMSE & 6.31 & 6.23 & 6.12 & 6.04 & \\color{teal}{\\underline{\\textbf{5.91}}} & 6.44 & 6.16 & 7.33 & 6.32 & \\underline{\\textbf{5.96}} & \\underline{\\textbf{6.49}} & \\underline{\\textbf{6.49}} \\\\\n", + " & MAPE & 8.37\\% & 8.31\\% & 8.17\\% & \\color{teal}{\\underline{\\textbf{7.79\\%}}} & 7.83\\% & 8.88\\% & 8.16\\% & 10.43\\% & 8.62\\% & \\underline{\\textbf{8.00\\%}} & \\underline{\\textbf{8.84\\%}} & 9.13\\% \\\\\n", + " & WAPE & 5.38\\% & 5.24\\% & 5.24\\% & 5.10\\% & \\color{teal}{\\underline{\\textbf{4.99\\%}}} & 5.48\\% & 5.28\\% & 6.45\\% & 5.42\\% & \\underline{\\textbf{5.07\\%}} & 5.44\\% & \\underline{\\textbf{5.40\\%}} \\\\\n", + " \\cmidrule{2-14}\n", + " & Param & 0.25 & 0.37 & 0.31 & \\underline{\\textbf{0.20}} & 0.39 & 0.75 & \\underline{\\textbf{0.41}} & 1.20 & 38.49 & 40.48 & 0.22 & \\color{teal}{\\underline{\\textbf{0.12}}} \\\\\n", + " & Speed & \\underline{\\textbf{21.01}} & 94.87 & 27.70 & 128.84 & 152.33 & 28.22 & 24.37 & \\underline{\\textbf{16.19}} & 52.23 & 497.26 & 25.26 & \\color{teal}{\\underline{\\textbf{7.50}}} \\\\\n", + "\\midrule\n", + "\\multirow{6}*{\\rotatebox{90}{\\textbf{PEMS-BAY}}} & MAE & 1.63 & 1.59 & 1.59 & 1.58 & \\underline{\\textbf{1.52}} & 1.60 & 1.60 & 1.99 & 1.68 & \\color{teal}{\\underline{\\textbf{1.48}}} & 1.58 & \\underline{\\textbf{1.56}} \\\\\n", + " & RMSE & 3.72 & 3.69 & 3.68 & 3.65 & \\underline{\\textbf{3.53}} & 3.67 & 3.71 & 4.49 & 3.79 & \\color{teal}{\\underline{\\textbf{3.42}}} & 3.65 & \\underline{\\textbf{3.59}} \\\\\n", + " & MAPE & 3.69\\% & 3.58\\% & 3.60\\% & 3.52\\% & \\underline{\\textbf{3.44\\%}} & 3.65\\% & 3.59\\% & 4.61\\% & 3.78\\% & \\color{teal}{\\underline{\\textbf{3.31\\%}}} & \\underline{\\textbf{3.52\\%}} & 3.53\\% \\\\\n", + " & WAPE & 2.61\\% & 2.55\\% & 2.55\\% & 2.53\\% & \\underline{\\textbf{2.43\\%}} & 2.56\\% & 2.57\\% & 3.19\\% & 2.68\\% & \\color{teal}{\\underline{\\textbf{2.37\\%}}} & 2.52\\% & \\underline{\\textbf{2.50\\%}} \\\\\n", + " \\cmidrule{2-14}\n", + " & Param & 0.31 & 0.37 & 0.31 & \\underline{\\textbf{0.21}} & 0.40 & 0.75 & \\underline{\\textbf{0.57}} & 1.39 & 58.67 & 60.47 & 0.28 & \\color{teal}{\\underline{\\textbf{0.12}}} \\\\\n", + " & Speed & \\underline{\\textbf{51.91}} & 223.35 & 70.24 & 401.66 & 374.32 & 62.07 & 46.47 & \\underline{\\textbf{30.30}} & 179.98 & 1406.90 & 63.90 & \\color{teal}{\\underline{\\textbf{13.28}}} \\\\\n", + "\\midrule\n", + "\\multirow{6}*{\\rotatebox{90}{\\textbf{PEMS03}}} & MAE & 15.83 & 15.54 & \\color{teal}{\\underline{\\textbf{14.59}}} & 14.60 & 14.63 & 15.24 & \\underline{\\textbf{14.85}} & 16.95 & 15.41 & N/A & \\underline{\\textbf{15.32}} & 15.33 \\\\\n", + " & RMSE & 27.51 & 27.18 & \\underline{\\textbf{25.24}} & 26.20 & 26.31 & 26.65 & \\color{teal}{\\underline{\\textbf{25.23}}} & 28.52 & 26.15 & N/A & \\underline{\\textbf{25.93}} & 27.40 \\\\\n", + " & MAPE & 16.13\\% & 15.62\\% & 15.52\\% & \\underline{\\textbf{14.87\\%}} & 15.32\\% & 15.89\\% & \\underline{\\textbf{14.55\\%}} & 19.61\\% & 15.39\\% & N/A & \\color{teal}{\\underline{\\textbf{14.37\\%}}} & 16.40\\% \\\\\n", + " & WAPE & 9.11\\% & 8.94\\% & \\color{teal}{\\underline{\\textbf{8.39\\%}}} & 8.40\\% & 8.42\\% & 8.77\\% & \\underline{\\textbf{8.54\\%}} & 9.75\\% & 8.86\\% & N/A & \\underline{\\textbf{8.81\\%}} & 8.82\\% \\\\\n", + " \\cmidrule{2-14}\n", + " & Param & 0.32 & 0.37 & 0.31 & \\underline{\\textbf{0.21}} & 0.40 & 0.75 & \\underline{\\textbf{0.62}} & 1.46 & 25.27 & N/A & 0.30 & \\color{teal}{\\underline{\\textbf{0.12}}} \\\\\n", + " & Speed & \\underline{\\textbf{25.55}} & 102.77 & 30.82 & 191.13 & 187.48 & 28.92 & 21.66 & \\underline{\\textbf{13.50}} & 59.16 & N/A & 29.58 & \\color{teal}{\\underline{\\textbf{5.78}}} \\\\\n", + "\\midrule\n", + "\\multirow{6}*{\\rotatebox{90}{\\textbf{PEMS04}}} & MAE & 19.76 & 19.66 & 18.80 & 18.84 & \\color{teal}{\\underline{\\textbf{18.32}}} & 19.28 & 19.13 & 22.98 & 21.32 & \\color{teal}{\\underline{\\textbf{18.32}}} & 19.21 & \\underline{\\textbf{18.35}} \\\\\n", + " & RMSE & 31.51 & 31.18 & 30.14 & 30.48 & \\underline{\\textbf{29.89}} & 31.02 & 31.03 & 36.00 & 33.55 & \\underline{\\textbf{29.91}} & 32.30 & \\color{teal}{\\underline{\\textbf{29.86}}} \\\\\n", + " & MAPE & 13.48\\% & 13.45\\% & 13.19\\% & 12.92\\% & \\underline{\\textbf{12.51\\%}} & 13.18\\% & 13.22\\% & 16.56\\% & 14.85\\% & \\underline{\\textbf{12.60\\%}} & 13.05\\% & \\color{teal}{\\underline{\\textbf{12.50\\%}}} \\\\\n", + " & WAPE & 8.98\\% & 8.94\\% & 8.55\\% & 8.57\\% & \\color{teal}{\\underline{\\textbf{8.33\\%}}} & 8.77\\% & 8.70\\% & 10.45\\% & 9.70\\% & \\color{teal}{\\underline{\\textbf{8.33\\%}}} & 8.73\\% & \\underline{\\textbf{8.34\\%}} \\\\\n", + " \\cmidrule{2-14}\n", + " & Param & 0.30 & 0.37 & 0.31 & \\underline{\\textbf{0.21}} & 0.40 & 0.75 & \\underline{\\textbf{0.55}} & 1.35 & 16.42 & 25.47 & 0.27 & \\color{teal}{\\underline{\\textbf{0.12}}} \\\\\n", + " & Speed & \\underline{\\textbf{14.21}} & 57.67 & 16.88 & 117.09 & 124.82 & 16.04 & 12.01 & \\underline{\\textbf{7.51}} & 29.38 & 745.62 & 16.87 & \\color{teal}{\\underline{\\textbf{3.54}}} \\\\\n", + "\\midrule\n", + "\\multirow{6}*{\\rotatebox{90}{\\textbf{PEMS07}}} & MAE & 22.25 & 21.16 & 20.44 & 20.04 & \\color{teal}{\\underline{\\textbf{19.49}}} & \\underline{\\textbf{20.68}} & 21.01 & 22.50 & 22.47 & N/A & 20.59 & \\underline{\\textbf{19.61}} \\\\\n", + " & RMSE & 35.83 & 34.15 & 33.38 & 32.86 & \\color{teal}{\\underline{\\textbf{32.59}}} & 34.45 & \\underline{\\textbf{34.14}} & 36.41 & 35.42 & N/A & 34.86 & \\underline{\\textbf{32.69}} \\\\\n", + " & MAPE & 9.47\\% & 9.02\\% & 8.71\\% & 8.63\\% & \\color{teal}{\\underline{\\textbf{8.09\\%}}} & \\underline{\\textbf{8.77\\%}} & 8.92\\% & 9.57\\% & 9.56\\% & N/A & 8.61\\% & \\underline{\\textbf{8.31\\%}} \\\\\n", + " & WAPE & 7.11\\% & 6.77\\% & 6.54\\% & 6.41\\% & \\color{teal}{\\underline{\\textbf{6.23\\%}}} & \\underline{\\textbf{6.61\\%}} & 6.72\\% & 7.19\\% & 7.18\\% & N/A & 6.58\\% & \\underline{\\textbf{6.27\\%}} \\\\\n", + " \\cmidrule{2-14}\n", + " & Param & 0.59 & 0.37 & 0.32 & \\underline{\\textbf{0.25}} & 0.41 & \\underline{\\textbf{0.75}} & 1.37 & 3.44 & 27.18 & N/A & 0.57 & \\color{teal}{\\underline{\\textbf{0.14}}} \\\\\n", + " & Speed & \\underline{\\textbf{67.14}} & 324.75 & 94.51 & 634.47 & 748.51 & 93.79 & 60.59 & \\underline{\\textbf{50.93}} & 512.84 & N/A & 73.45 & \\color{teal}{\\underline{\\textbf{13.63}}} \\\\\n", + "\\midrule\n", + "\\multirow{6}*{\\rotatebox{90}{\\textbf{PEMS08}}} & MAE & 16.19 & 15.23 & 14.67 & 14.77 & \\underline{\\textbf{14.10}} & 15.78 & 15.25 & 16.90 & 16.92 & \\color{teal}{\\underline{\\textbf{14.00}}} & 15.39 & \\underline{\\textbf{14.21}} \\\\\n", + " & RMSE & 25.51 & 24.17 & 23.55 & 23.81 & \\underline{\\textbf{23.36}} & 24.76 & 24.22 & 26.30 & 26.68 & \\underline{\\textbf{23.41}} & 24.80 & \\color{teal}{\\underline{\\textbf{23.35}}} \\\\\n", + " & MAPE & 10.82\\% & 10.21\\% & 9.46\\% & 9.77\\% & \\underline{\\textbf{9.33\\%}} & 10.42\\% & 10.66\\% & 11.89\\% & 10.88\\% & \\underline{\\textbf{9.50\\%}} & 9.91\\% & \\color{teal}{\\underline{\\textbf{9.32\\%}}} \\\\\n", + " & WAPE & 6.98\\% & 6.56\\% & 6.32\\% & 6.36\\% & \\underline{\\textbf{6.07\\%}} & 6.80\\% & 6.57\\% & 7.28\\% & 7.29\\% & \\color{teal}{\\underline{\\textbf{6.03\\%}}} & 6.63\\% & \\underline{\\textbf{6.12\\%}} \\\\\n", + " \\cmidrule{2-14}\n", + " & Param & 0.23 & 0.37 & 0.31 & \\underline{\\textbf{0.20}} & 0.39 & \\underline{\\textbf{0.15}} & 0.35 & 1.15 & 17.25 & 26.56 & 0.20 & \\color{teal}{\\underline{\\textbf{0.12}}} \\\\\n", + " & Speed & \\underline{\\textbf{7.46}} & 35.36 & 10.34 & 138.65 & 109.42 & 11.33 & 9.57 & \\underline{\\textbf{6.64}} & 17.49 & 420.86 & 10.98 & \\color{teal}{\\underline{\\textbf{3.38}}} \\\\\n" + ] + } + ], + "source": [ + "# 产生LaTeX表格\n", + "DATA_LIST = ['METR-LA', 'PEMS-BAY', 'PEMS03', 'PEMS04', 'PEMS07', 'PEMS08']\n", + "MODEL_LIST = ['STGCN', 'DCRNN', 'GWNet', 'DGCRN', 'D2STGNN', 'AGCRN', 'MTGNN', 'StemGNN', 'GTS', 'STEP', 'STNorm', 'STID']\n", + "METRIC_LIST = ['MAE', 'RMSE', 'MAPE', 'WAPE', \"Param\", \"Speed\"]\n", + "get_latex_str(DATA_LIST, MODEL_LIST, METRIC_LIST, \"STF\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\\midrule\n", + "\\multirow{5}*{\\rotatebox{90}{\\textbf{PEMS04}}} & MAE & 27.94 & 40.21 & 25.49 & 26.89 & \\color{teal}{\\underline{\\textbf{23.81}}} & 26.75 & 29.02 & \\underline{\\textbf{37.42}} & 37.52 & 37.62 \\\\\n", + " & RMSE & 44.74 & 56.46 & 41.74 & 41.46 & \\color{teal}{\\underline{\\textbf{39.42}}} & 45.24 & 48.39 & \\underline{\\textbf{62.14}} & 62.21 & 62.38 \\\\\n", + " & WAPE & 12.84\\% & 18.52\\% & 11.72\\% & 12.39\\% & \\color{teal}{\\underline{\\textbf{10.95\\%}}} & 12.31\\% & 13.35\\% & \\underline{\\textbf{17.22\\%}} & 17.26\\% & 17.31\\% \\\\\n", + " \\cmidrule{2-12}\n", + " & Param & 12.40 & 12.07 & 218.42 & 18.36 & \\underline{\\textbf{1.69}} & 13.51 & 2.21 & \\color{teal}{\\underline{\\textbf{0.11}}} & 0.23 & \\color{teal}{\\underline{\\textbf{0.11}}} \\\\\n", + " & Speed & 28.62 & 137.61 & \\underline{\\textbf{25.22}} & 147.75 & 313.52 & 338.94 & 164.01 & \\color{teal}{\\underline{\\textbf{21.13}}} & 21.24 & 21.27 \\\\\n", + "\\midrule\n", + "\\multirow{5}*{\\rotatebox{90}{\\textbf{PEMS08}}} & MAE & 26.92 & 35.56 & 22.03 & 25.14 & \\color{teal}{\\underline{\\textbf{18.74}}} & 21.75 & 22.43 & \\underline{\\textbf{34.04}} & 34.15 & 34.11 \\\\\n", + " & RMSE & 43.79 & 51.09 & 38.39 & 39.17 & \\color{teal}{\\underline{\\textbf{31.03}}} & 36.86 & 38.94 & \\underline{\\textbf{57.07}} & 57.18 & 57.26 \\\\\n", + " & WAPE & 11.63\\% & 15.37\\% & 9.52\\% & 10.87\\% & \\color{teal}{\\underline{\\textbf{8.13\\%}}} & 9.40\\% & 9.69\\% & \\underline{\\textbf{14.71\\%}} & 14.76\\% & 14.74\\% \\\\\n", + " \\cmidrule{2-12}\n", + " & Param & 11.91 & 11.37 & 123.93 & 17.66 & \\underline{\\textbf{1.64}} & 12.53 & 2.21 & \\color{teal}{\\underline{\\textbf{0.11}}} & 0.23 & \\color{teal}{\\underline{\\textbf{0.11}}} \\\\\n", + " & Speed & 23.34 & 81.54 & \\underline{\\textbf{20.94}} & 147.89 & 200.50 & 224.90 & 93.15 & \\color{teal}{\\underline{\\textbf{12.60}}} & 12.78 & 13.04 \\\\\n", + "\\midrule\n", + "\\multirow{5}*{\\rotatebox{90}{\\textbf{ETTh1}}} & MAE & 2.92 & 1.74 & 2.68 & 1.71 & 1.80 & 1.83 & \\underline{\\textbf{1.60}} & 1.60 & \\color{teal}{\\underline{\\textbf{1.58}}} & 1.59 \\\\\n", + " & RMSE & 4.60 & 3.12 & 4.26 & 3.15 & 3.31 & 3.19 & \\underline{\\textbf{3.08}} & 3.08 & \\color{teal}{\\underline{\\textbf{3.06}}} & 3.09 \\\\\n", + " & WAPE & 62.87\\% & 37.61\\% & 57.75\\% & 36.89\\% & 38.72\\% & 39.44\\% & \\underline{\\textbf{34.49\\%}} & 34.47\\% & \\color{teal}{\\underline{\\textbf{34.06\\%}}} & 34.29\\% \\\\\n", + " \\cmidrule{2-12}\n", + " & Param & 11.33 & 10.54 & 11.59 & 16.30 & 1.59 & 11.36 & \\underline{\\textbf{0.24}} & \\color{teal}{\\underline{\\textbf{0.11}}} & 0.23 & \\color{teal}{\\underline{\\textbf{0.11}}} \\\\\n", + " & Speed & 14.18 & 39.37 & 11.98 & 43.44 & 26.24 & 11.91 & \\underline{\\textbf{3.90}} & \\color{teal}{\\underline{\\textbf{1.25}}} & 1.35 & 1.28 \\\\\n", + "\\midrule\n", + "\\multirow{5}*{\\rotatebox{90}{\\textbf{ETTh2}}} & MAE & 7.12 & 3.33 & 7.17 & 3.27 & 3.65 & 3.72 & \\color{teal}{\\underline{\\textbf{2.97}}} & 3.18 & \\underline{\\textbf{3.13}} & 3.16 \\\\\n", + " & RMSE & 8.79 & 4.91 & 9.00 & 4.93 & 5.19 & 5.46 & \\color{teal}{\\underline{\\textbf{4.76}}} & 5.04 & \\underline{\\textbf{5.00}} & 5.06 \\\\\n", + " & WAPE & 47.44\\% & 22.17\\% & 47.76\\% & 21.78\\% & 24.29\\% & 24.76\\% & \\color{teal}{\\underline{\\textbf{19.78\\%}}} & 21.19\\% & \\underline{\\textbf{20.85\\%}} & 21.09\\% \\\\\n", + " \\cmidrule{2-12}\n", + " & Param & 11.33 & 10.54 & 11.59 & 16.83 & 1.59 & 11.36 & \\underline{\\textbf{0.24}} & \\color{teal}{\\underline{\\textbf{0.11}}} & 0.23 & \\color{teal}{\\underline{\\textbf{0.11}}} \\\\\n", + " & Speed & 24.04 & 39.29 & 20.85 & 71.80 & 29.71 & 11.89 & \\underline{\\textbf{3.76}} & \\color{teal}{\\underline{\\textbf{1.25}}} & 1.36 & 1.28 \\\\\n", + "\\midrule\n", + "\\multirow{5}*{\\rotatebox{90}{\\textbf{ETTm1}}} & MAE & 2.37 & 1.93 & 2.45 & 1.53 & 1.57 & 1.89 & \\color{teal}{\\underline{\\textbf{1.37}}} & 1.39 & \\underline{\\textbf{1.38}} & \\underline{\\textbf{1.38}} \\\\\n", + " & RMSE & 4.20 & 3.67 & 3.92 & 2.89 & 2.94 & 3.28 & \\color{teal}{\\underline{\\textbf{2.78}}} & \\underline{\\textbf{2.80}} & \\underline{\\textbf{2.80}} & 2.81 \\\\\n", + " & WAPE & 51.16\\% & 41.69\\% & 52.79\\% & 33.00\\% & 33.83\\% & 40.70\\% & \\color{teal}{\\underline{\\textbf{29.60\\%}}} & 30.02\\% & \\underline{\\textbf{29.80\\%}} & 29.86\\% \\\\\n", + " \\cmidrule{2-12}\n", + " & Param & 11.33 & 10.54 & 11.59 & 16.83 & 1.59 & 11.60 & \\underline{\\textbf{0.24}} & \\color{teal}{\\underline{\\textbf{0.11}}} & 0.23 & \\color{teal}{\\underline{\\textbf{0.11}}} \\\\\n", + " & Speed & 57.32 & 121.91 & 46.57 & 235.17 & 108.11 & 80.41 & \\underline{\\textbf{14.77}} & \\color{teal}{\\underline{\\textbf{4.35}}} & 4.79 & 4.40 \\\\\n", + "\\midrule\n", + "\\multirow{5}*{\\rotatebox{90}{\\textbf{ETTm2}}} & MAE & 5.84 & 2.74 & 6.19 & 2.70 & 3.03 & 2.99 & \\color{teal}{\\underline{\\textbf{2.43}}} & 2.52 & \\underline{\\textbf{2.49}} & \\underline{\\textbf{2.49}} \\\\\n", + " & RMSE & 7.90 & 4.58 & 7.54 & 4.54 & 4.44 & 4.42 & \\color{teal}{\\underline{\\textbf{4.09}}} & 4.24 & 4.23 & \\underline{\\textbf{4.21}} \\\\\n", + " & WAPE & 38.97\\% & 18.27\\% & 41.28\\% & 17.99\\% & 20.26\\% & 19.95\\% & \\color{teal}{\\underline{\\textbf{16.21\\%}}} & 16.80\\% & 16.63\\% & \\underline{\\textbf{16.60\\%}} \\\\\n", + " \\cmidrule{2-12}\n", + " & Param & 11.33 & 10.54 & 11.59 & 16.30 & 1.59 & 11.60 & \\underline{\\textbf{0.24}} & \\color{teal}{\\underline{\\textbf{0.11}}} & 0.23 & \\color{teal}{\\underline{\\textbf{0.11}}} \\\\\n", + " & Speed & 57.07 & 93.04 & 85.45 & 175.20 & 107.44 & 79.77 & \\underline{\\textbf{14.67}} & \\color{teal}{\\underline{\\textbf{4.35}}} & 4.66 & 4.48 \\\\\n", + "\\midrule\n", + "\\multirow{5}*{\\rotatebox{90}{\\textbf{Electricity}}} & MAE & 325.53 & 295.98 & 335.23 & 317.20 & 275.42 & N/A & \\underline{\\textbf{253.57}} & 256.60 & \\color{teal}{\\underline{\\textbf{250.08}}} & 251.80 \\\\\n", + " & RMSE & 2938.56 & 2933.97 & \\color{teal}{\\underline{\\textbf{2761.75}}} & 2935.53 & 2968.97 & N/A & 2881.53 & 2896.04 & \\underline{\\textbf{2883.63}} & 2892.13 \\\\\n", + " & WAPE & 12.22\\% & 11.11\\% & 12.58\\% & 11.91\\% & 10.33\\% & N/A & \\underline{\\textbf{9.51\\%}} & 9.62\\% & \\color{teal}{\\underline{\\textbf{9.38\\%}}} & 9.44\\% \\\\\n", + " \\cmidrule{2-12}\n", + " & Param & 12.45 & 12.14 & 228.20 & 17.91 & 1.69 & N/A & \\underline{\\textbf{0.24}} & \\color{teal}{\\underline{\\textbf{0.11}}} & 0.23 & \\color{teal}{\\underline{\\textbf{0.11}}} \\\\\n", + " & Speed & \\underline{\\textbf{51.00}} & 69.04 & 70.86 & 113.94 & 484.90 & N/A & 95.92 & 40.92 & \\color{teal}{\\underline{\\textbf{39.21}}} & 40.71 \\\\\n", + "\\midrule\n", + "\\multirow{5}*{\\rotatebox{90}{\\textbf{Weather}}} & MAE & 12.88 & 29.37 & 38.94 & 15.61 & 11.29 & 11.36 & \\color{teal}{\\underline{\\textbf{10.85}}} & 12.25 & 12.08 & \\underline{\\textbf{12.02}} \\\\\n", + " & RMSE & 41.57 & 84.75 & 142.50 & 44.74 & \\color{teal}{\\underline{\\textbf{40.74}}} & 41.27 & 41.70 & \\underline{\\textbf{43.22}} & 43.35 & 43.32 \\\\\n", + " & WAPE & 7.70\\% & 17.56\\% & 23.28\\% & 9.33\\% & 6.75\\% & 6.79\\% & \\color{teal}{\\underline{\\textbf{6.49\\%}}} & 7.32\\% & 7.22\\% & \\underline{\\textbf{7.19\\%}} \\\\\n", + " \\cmidrule{2-12}\n", + " & Param & 11.38 & 10.61 & 21.30 & 16.90 & \\underline{\\textbf{1.59}} & 11.46 & 2.21 & \\color{teal}{\\underline{\\textbf{0.11}}} & 0.23 & \\color{teal}{\\underline{\\textbf{0.11}}} \\\\\n", + " & Speed & 78.30 & 99.51 & 50.52 & 503.17 & 120.21 & 107.23 & \\underline{\\textbf{42.72}} & \\color{teal}{\\underline{\\textbf{8.19}}} & 8.73 & 8.38 \\\\\n", + "\\midrule\n", + "\\multirow{5}*{\\rotatebox{90}{\\textbf{ExchangeRate}}} & MAE & 0.0611 & 0.0366 & 0.0632 & 0.0376 & 0.0367 & 0.0504 & \\underline{\\textbf{0.0332}} & 0.0352 & 0.0350 & \\color{teal}{\\underline{\\textbf{0.0322}}} \\\\\n", + " & RMSE & 0.0803 & 0.0568 & 0.0870 & 0.0578 & 0.0533 & 0.0732 & \\underline{\\textbf{0.0525}} & 0.0550 & 0.0547 & \\color{teal}{\\underline{\\textbf{0.0508}}} \\\\\n", + " & WAPE & 8.0355\\% & 4.8152\\% & 8.3192\\% & 4.9405\\% & 4.8431\\% & 6.6406\\% & \\underline{\\textbf{4.3804\\%}} & 4.6343\\% & 4.6086\\% & \\color{teal}{\\underline{\\textbf{4.2450\\%}}} \\\\\n", + " \\cmidrule{2-12}\n", + " & Param & 11.3300 & 10.5400 & 12.2600 & 16.3100 & 1.5900 & 0.7800 & \\underline{\\textbf{0.2400}} & \\color{teal}{\\underline{\\textbf{0.1100}}} & 0.2300 & \\color{teal}{\\underline{\\textbf{0.1100}}} \\\\\n", + " & Speed & 8.6000 & 13.7200 & 13.0300 & 26.2000 & 15.9800 & 6.6500 & \\underline{\\textbf{2.3800}} & 0.9300 & 0.9500 & \\color{teal}{\\underline{\\textbf{0.9100}}} \\\\\n" + ] + } + ], + "source": [ + "# 产生LaTeX表格\n", + "DATA_LIST = [\"PEMS04\", \"PEMS08\", \"ETTh1\", \"ETTh2\", \"ETTm1\", \"ETTm2\", \"Electricity\", \"Weather\", \"ExchangeRate\"]\n", + "MODEL_LIST = [\"Informer\", \"Autoformer\", \"Pyraformer\", \"FEDformer\", \"Triformer\", \"Crossformer\", \"PatchTST\", \"Linear\", \"DLinear\", \"NLinear\"]\n", + "METRIC_LIST = ['MAE', 'RMSE', 'WAPE', \"Param\", \"Speed\"]\n", + "get_latex_str(DATA_LIST, MODEL_LIST, METRIC_LIST, \"LTSF\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "BasicTS", + "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": "3.9.15" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/scripts/paper_scripts/get_ratio.ipynb b/scripts/paper_scripts/get_ratio.ipynb new file mode 100644 index 00000000..72ef5558 --- /dev/null +++ b/scripts/paper_scripts/get_ratio.ipynb @@ -0,0 +1,408 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import sys\n", + "import math\n", + "import torch\n", + "\n", + "PROJECT_DIR = os.path.abspath(os.path.abspath('') + \"/..\")\n", + "sys.path.append(PROJECT_DIR)\n", + "\n", + "import numpy as np\n", + "from tqdm import tqdm\n", + "from basicts.data import TimeSeriesForecastingDataset\n", + "\n", + "\n", + "dataset_name = \"METR-LA\"\n", + "batch_size = 8\n", + "metric = \"cosine\" # metric used to calculate the similarity.\n", + "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", + "\n", + "history_seq_len = 12 # the historical sequence length used in computing the spatial indistinguishability ratio, which should be larger than or equal to the patch_size.\n", + "future_seq_len = 12 # the future sequence length used in computing the spatial indistinguishability ratio.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## utilities" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "# similarity computation\n", + "def cosine_similarity(x, y):\n", + " # denominator\n", + " l2_x = torch.norm(x, dim=2, p=2) + 1e-7\n", + " l2_y = torch.norm(y, dim=2, p=2) + 1e-7\n", + " l2_n = torch.matmul(l2_x.unsqueeze(dim=2), l2_y.unsqueeze(dim=2).transpose(1, 2))\n", + " # numerator\n", + " l2_d = torch.matmul(x, y.transpose(1, 2))\n", + " return l2_d / l2_n\n", + "\n", + "def get_similarity_matrix(data, metric):\n", + " if metric == \"cosine\":\n", + " sim = cosine_similarity(data, data)\n", + " elif metric == \"mse\":\n", + " sim = torch.cdist(data, data, p=2)\n", + " elif metric == \"mae\":\n", + " sim = torch.cdist(data, data, p=1)\n", + " else:\n", + " raise NotImplementedError\n", + " return sim" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "# dataloader\n", + "def load_data(dataset_name, history_seq_len, future_seq_len, mode, batch_size):\n", + " \"\"\"Get a dataloader.\n", + "\n", + " Args:\n", + " name (str): dataset name.\n", + " tsformer_in_seq_len (int): historical sequence length.\n", + " tsformer_out_seq_len (int): tsformer_out_seq_len does not matter, it is only used to load datasets.\n", + " mode (str): [\"train\", \"val\", \"test\"].\n", + " batch_size (int): batch size.\n", + " \"\"\"\n", + " assert mode in [\"train\", \"valid\", \"test\"]\n", + " data_path = PROJECT_DIR + \"/datasets/{0}/data_in{1}_out{2}.pkl\".format(dataset_name, history_seq_len, future_seq_len)\n", + " index_path = PROJECT_DIR + \"/datasets/{0}/index_in{1}_out{2}.pkl\".format(dataset_name, history_seq_len, future_seq_len)\n", + " dataset = TimeSeriesForecastingDataset(data_path, index_path, mode=mode)\n", + " dataloader = torch.utils.data.DataLoader(dataset, batch_size=batch_size, shuffle=False, num_workers=3)\n", + " return dataloader\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Generate Similarity Matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 2997/2997 [00:11<00:00, 250.75it/s]\n" + ] + } + ], + "source": [ + "# get similarity matrices\n", + "\n", + "# inference pipeline for a given dataloader\n", + "history_adjs_all = []\n", + "future_adjs_all = []\n", + "def inference(dataloader):\n", + " for batch in tqdm(dataloader):\n", + " future_data, history_data = batch\n", + " history_data = history_data[..., 0].transpose(1, 2) # batch_size, num_nodes, history_seq_len\n", + " future_data = future_data[..., 0].transpose(1, 2) # batch_size, num_nodes, future_seq_len\n", + " history_adjs = get_similarity_matrix(history_data, metric) # batch_size, num_nodes, num_nodes\n", + " future_adjs = get_similarity_matrix(future_data, metric) # batch_size, num_nodes, num_nodes\n", + " history_adjs_all.append(history_adjs)\n", + " future_adjs_all.append(future_adjs)\n", + "# get similarity matrices\n", + "# for mode in [\"valid\"]:\n", + "for mode in [\"train\"]:\n", + " dataloader = load_data(dataset_name, history_seq_len, future_seq_len, mode, batch_size)\n", + " inference(dataloader)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "# get spatial indistinguishability ratio\n", + "history_similarity = torch.cat(history_adjs_all, dim=0).detach().cpu() # num_samples, num_modes, num_nodes\n", + "future_similarity = torch.cat(future_adjs_all, dim=0).detach().cpu() # num_samples, num_modes, num_nodes\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "# save results\n", + "save_path = PROJECT_DIR + \"/experiments/history_{0}_{1}.npy\".format(dataset_name, metric)\n", + "with open(save_path, \"wb\") as f:\n", + " np.save(f, history_similarity)\n", + "\n", + "save_path = PROJECT_DIR + \"/experiments/future_{0}_{1}.npy\".format(dataset_name, metric)\n", + "with open(save_path, \"wb\") as f:\n", + " np.save(f, future_similarity)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "torch.Size([36586, 21, 21])\n" + ] + } + ], + "source": [ + "L, N, N = future_similarity.shape\n", + "print(future_similarity.shape)\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Get Spatial Indistinguishability Ratio" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "e_u = 0.9\n", + "e_l = 0.4\n", + "\n", + "history_similarity_filtered = torch.where(history_similarity > e_u, torch.ones_like(history_similarity), torch.zeros_like(history_similarity))\n", + "future_similarity_filtered = torch.where(future_similarity < e_l, torch.ones_like(future_similarity), torch.zeros_like(future_similarity))\n", + "overlap = history_similarity_filtered * future_similarity_filtered\n" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "tensor(2.5232)\n" + ] + } + ], + "source": [ + "# overlap ratio\n", + "overlap_ratio = overlap.sum() / (L * N * N)\n", + "print(overlap_ratio * 100)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "tensor(11.0950)\n" + ] + } + ], + "source": [ + "# indistinguishability ratio\n", + "indistinguishability_ratio = overlap.sum() / history_similarity_filtered.sum()\n", + "print(indistinguishability_ratio * 100)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Test" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "save_path = PROJECT_DIR + \"/experiments/history_{0}_{1}.npy\".format(dataset_name, metric)\n", + "with open(save_path, \"rb\") as f:\n", + " history_similarity = np.load(f)\n", + "\n", + "save_path = PROJECT_DIR + \"/experiments/future_{0}_{1}.npy\".format(dataset_name, metric)\n", + "with open(save_path, \"rb\") as f:\n", + " future_similarity = np.load(f)\n", + "\n", + "history_similarity = torch.Tensor(history_similarity)\n", + "future_similarity = torch.Tensor(future_similarity)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "t_future_similarity = future_similarity[:10, :, :]\n", + "t_history_similarity = history_similarity[:10, :, :]\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "t_history_similarity_sorted = t_history_similarity.view(-1).sort()[0].numpy()[700000:]\n", + "t_future_similarity_sorted = t_future_similarity.view(-1).sort()[0].numpy()[700000:]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# plot\n", + "import matplotlib.pyplot as plt\n", + "plt.rcParams['figure.figsize'] = [20, 5]\n", + "plt.plot(range(t_history_similarity_sorted.size), t_history_similarity_sorted, linewidth=2)\n", + "plt.plot(range(t_future_similarity_sorted.size), t_future_similarity_sorted, linewidth=2)\n", + "plt.grid()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "t_history_similarity_sorted.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "t_history_similarity_sorted[600000:].shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "X = torch.randn(32, 207, 12) # batch_size, num_nodes, history_seq_len\n", + "Y = torch.randn(32, 207, 12) # batch_size, num_nodes, future_seq_len\n", + "# calculate the euclidean distance between each row of X and each row of Y\n", + "dist = torch.cdist(X, Y, p=2)\n", + "# calculate the batch cosine similarity pairwisely between each row of X and each row of Y\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "def batch_cosine_sim(data):\n", + " # data: batch_size, num_nodes, seq_len\n", + " # calculate the cosine similarity among nodes pairwisely in each sample\n", + " data = data.transpose(1, 2) # batch_size, seq_len, num_nodes\n", + " data = data.unsqueeze(1) # batch_size, 1, seq_len, num_nodes\n", + " data = data.repeat(1, data.size(2), 1, 1) # batch_size, seq_len, seq_len, num_nodes\n", + " data = data.transpose(2, 3) # batch_size, seq_len, num_nodes, seq_len\n", + " data = data.reshape(-1, data.size(1), data.size(3)) # batch_size * num_nodes, seq_len, seq_len\n", + " sim = torch.cosine_similarity(data, data, dim=2) # batch_size * num_nodes, seq_len\n", + " sim = sim.reshape(-1, data.size(1), data.size(1)) # batch_size * num_nodes, seq_len, seq_len\n", + " return sim\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "torch.Size([552, 12, 12])" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "batch_cosine_sim(X).shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "BasicTS", + "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": "3.9.15" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/scripts/paper_scripts/prediction_vis.ipynb b/scripts/paper_scripts/prediction_vis.ipynb new file mode 100644 index 00000000..f5bfd2bb --- /dev/null +++ b/scripts/paper_scripts/prediction_vis.ipynb @@ -0,0 +1,370 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pickle\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "plt.rcParams['figure.figsize'] = (15.0, 3.0)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from tqdm import tqdm\n", + "import random" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def plot(prediction, real_value, history, batch_id, node_id, plot_res=True, save=True, line_width=2, font_size=24, num_xticks=6):\n", + " # plot data\n", + " prediction_data = prediction[batch_id, :, node_id, 0]\n", + " real_value_data = real_value[batch_id, :, node_id, 0]\n", + " history_data = history[batch_id, :, node_id, 0]\n", + " residual_data = prediction_data - real_value_data\n", + " ## plot data\n", + " plt.plot(range(history_data.shape[0]), history_data, label='History', linewidth=line_width, color='black')\n", + " plt.plot(range(history_data.shape[0], history_data.shape[0]+prediction_data.shape[0]), prediction_data, label='Prediction', linewidth=line_width, color=\"green\")\n", + " plt.plot(range(history_data.shape[0], history_data.shape[0]+real_value_data.shape[0]), real_value_data, label='Real Value', linewidth=line_width, color=\"red\")\n", + " if plot_res:\n", + " plt.plot(range(history_data.shape[0], history_data.shape[0]+residual_data.shape[0]), residual_data, label='Residual', linewidth=line_width)\n", + " plt.grid()\n", + " plt.legend(prop={'size': font_size})\n", + " xticks = range(num_xticks)\n", + " plt.xticks([_*int(prediction_data.shape[0]/num_xticks) for _ in xticks], size=font_size, rotation=0)\n", + " plt.yticks(size=font_size)\n", + " if save:\n", + " plt.savefig(\"prediction_vis.png\") \n", + " plt.show()\n", + " plt.clf()\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "MODEL_NAME = 'DLinear'\n", + "DATASET_NAME = 'ETTh1'\n", + "with open(\"inference_results_{0}_{1}.pkl\".format(MODEL_NAME, DATASET_NAME), \"rb\") as f:\n", + " inference_results = pickle.load(f)\n", + "prediction_DLinear = inference_results[\"prediction\"].cpu().numpy()\n", + "real_value = inference_results[\"real_value\"].cpu().numpy()\n", + "history = inference_results[\"history\"].cpu().numpy()\n", + "\n", + "MODEL_NAME = 'Autoformer'\n", + "DATASET_NAME = 'ETTh1'\n", + "with open(\"inference_results_{0}_{1}.pkl\".format(MODEL_NAME, DATASET_NAME), \"rb\") as f:\n", + " inference_results = pickle.load(f)\n", + "prediction_Autoformer = inference_results[\"prediction\"].cpu().numpy()\n", + "real_value = inference_results[\"real_value\"].cpu().numpy()\n", + "history = inference_results[\"history\"].cpu().numpy()\n", + "\n", + "MODEL_NAME = 'FEDformer'\n", + "DATASET_NAME = 'ETTh1'\n", + "with open(\"inference_results_{0}_{1}.pkl\".format(MODEL_NAME, DATASET_NAME), \"rb\") as f:\n", + " inference_results = pickle.load(f)\n", + "prediction_FEDformer = inference_results[\"prediction\"].cpu().numpy()\n", + "real_value = inference_results[\"real_value\"].cpu().numpy()\n", + "history = inference_results[\"history\"].cpu().numpy()\n", + "\n", + "MODEL_NAME = 'Crossformer'\n", + "DATASET_NAME = 'ETTh1'\n", + "with open(\"inference_results_{0}_{1}.pkl\".format(MODEL_NAME, DATASET_NAME), \"rb\") as f:\n", + " inference_results = pickle.load(f)\n", + "prediction_Crossformer = inference_results[\"prediction\"].cpu().numpy()\n", + "real_value = inference_results[\"real_value\"].cpu().numpy()\n", + "history = inference_results[\"history\"].cpu().numpy()\n", + "\n", + "MODEL_NAME = 'PatchTST'\n", + "DATASET_NAME = 'ETTh1'\n", + "with open(\"inference_results_{0}_{1}.pkl\".format(MODEL_NAME, DATASET_NAME), \"rb\") as f:\n", + " inference_results = pickle.load(f)\n", + "prediction_PatchTST = inference_results[\"prediction\"].cpu().numpy()\n", + "real_value = inference_results[\"real_value\"].cpu().numpy()\n", + "history = inference_results[\"history\"].cpu().numpy()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "batch_size, _, variate_num, feature_num = history.shape\n", + "\n", + "# randomly select batch_id (0~batch_size) and variate_id (0~variate_num)\n", + "batch_id = random.randint(0, batch_size-1)\n", + "variate_id = random.randint(0, variate_num-1)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + 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5ucyfP59HH32U//3vf9x6661q6KMyb3H7IDRULsN67ty5Ytt47tw5ddqS2lccU6dOZebMmfz666989NFHzJkzB4CHH364xDDKuoper0en02E0GomPjy8y3mq1ipfBUijLfUogENQeXHlN39XlLvqG9qVjcEdxXxHUSp5e97Q6bMFSI85j8ZwWCOoe5b2uPQyy1iAhiftBLaY8x67cikuLFi0cDjua5sqVK+VdvKCGYjab7f5WnHuenp489NBDdOnSBavVquZgA5vbqvC8CoMHD0av13Pw4EEOHTpUZPyVK1dYs2YNANddd12F2l2vXj3uu+8+cnNzefvtt/n999/x9PTkvvvuq9Dy6hIiebxAIBC4lkf7PMqnoz9l6l9TCf8knJOJJ13dJIGgzJitZvZd3qf+nW8RqQwEAoHrycjLUCOmlOqIgrpPuYWtHj16qCdKYmKiw2mU35WQMUHtx2w28+OPPxIbGwvYJ3A/efIkkZGRADRr1kz9XXFkHT9+3OEyw8PDufXWW5EkiQcffFDN3waQlZXFAw88QG5uLv3793dYEbGsPPbYY+j1ej7++GPy8/OZPHmyXQXGqxFJkhwKWyK/lkAgEFQ/l9IvEZMeQ7ap7LkkBAJXcyz+GDnmHPXvPIvoHBMIBK5n8h+T+WTnJ4AswAuuDsodixUSEsLAgQPZunUr69evp3v37nbjTSYTmzdvBqBPnz7OaaXA5ZhMJubNm8dnn31GREQE7du3p0GDBly+fJlt27ZhNpu555576NGjhzrPNddcQ5MmTThw4AA9evSgc+fOGI1G2rZty/PPPw/Al19+ycmTJ9m1axctW7bkuuuuw2AwsHnzZhISEmjevDk//fRTpdoeERHBhAkTWLZsGSALXVc7aWlpDqtMCGFLUBtZF7UOCYmRLUe6uikCQZmxSlZOJZ6ivmd93N1kh3OeWQgDgtrD7ku77f4W569AIKgJxGXJnffTuk3jvu4iSudqoULJn1599VVArm64c+dO9Xez2cyzzz7L2bNn8fX1Zdq0ac5ppcDlmM1mXnjhBcaPH4+bmxv//fcff/zxB+fOnWPEiBH8+eefzJ8/324ed3d3/vnnHyZMmMDFixdZtGgRc+fOZeXKleo0AQEB7Nixg3feeYfmzZuzdu1aVqxYQWBgIC+99BL79u0jIiKi0u0fNWoUAP369bMT365WtO44bb67ui5sbd++nXfeeadYt6mg9pGRl8HIRSMZtWgUOaac0mcQCGoIyTnJdJjTgSYfN8Ggl/sZRSiXoDax69IudXhC2wk0qtfIha0RCAQCmbhMWdh6qNdDdA7u7OLWCKqLCmXPHjZsGG+88QYvv/wygwYNok+fPoSEhLB//37Onz+Pl5cXP//8M8HBwc5ur6CMnD9/vkzTbdq0qchvQ4YMUXNoKZjNZsaMGcOYMWMA2bmnhBqWRKdOnfjrr79KnMbb25sXX3yRF198sUxtjoiIKNK+0li0aBEgV0kU2AtboaGhREVFAXU7x1ZWVhbjxo0jLS2N2NhYZs+e7eomCZxAfJatCEK2KRsvo5cLWyMQlJ3U3FQAfN198TbK1YhFKJegNqE4tpZNWsYN7W5wcWsEAoGgIN1KgWMruJ7QIq4mKlyub+bMmfzzzz+MGDGCkydP8vfff2OxWJg6dSr79+9n3LhxzmynwMUUTgCvzbFV01m9ejXbt28nPDycW265xdXNqRFoHUvh4eHqcF12bEVGRpKWlqYOC+oGijgAcuUbgaC2oJy79T3rq9WbRCiXoLaQmZ/JsYRjAPRpKlKPCASCmkFqbqrqft5wbgPbore5uEWC6qJCji2FkSNHMnKkyGlyNVBcVcSaSlJSEv/3f/9HSkoKq1atAuD9998X5V4LSE5OVoe1zru6LGxpXYx12Zl2tZGUI7sPuwR3IdA70MWtEQjKjiJs+Xv6qzm2RCiioLbgpnPjl5t/4VjCMRr7NnZ1cwQCgQCw5dcCuG/5fUzuNJmB4QNd2CJBdVFhx5agbpKWlsb58+fJybHlqpEkqdYJWxkZGcydO5fly5cTHh7ON998w6RJk1zdrBpDamqqOtykSRN1uC4LW+fOnVOHhbBVd0jMlt2HAV5Xd6VTQe0jLVd2kNb3rE/LBi3pGNSReu71XNwqgaBseBm9uLXjrcwaMot7/7oX4xtGPt35qaubJRAIrnKU/FoKoiri1UOlHFuCuoXJZCIqKgqr1Up+fj5t2rQB5LDDwkJWTQ9FrEgerquJ4oStuiz4CMdW3STfko+/h79wawlqHdpQxPkT57u0LQJBZZCQMFvNIpRWIBC4HH9PfyZ3msyyk8vIMedgshatAi+omwjHlkAlPj5eFaxyc3PV302mojcEIRrVblJSUtThq9GxVZe382pjarep9A/rz+5Lu4uUnhcIajJaYUsgqG2si1rH6sjVJGYn4uFWkCNOFD8QCAQupltINxbfvJgvxn4BCMfW1YRwbAkAOYdWfLytupjJZEKSJHQ6XZEwRKj5ji1ByVyNoYjCsVV3uZh+kQtpF0jPS3d1UwSCMtO9cXee6PMEvZr0cnVTBIJyM3PjTHZf2s2fk/5Uc8QJx5ZAIKgpGPSyzGGyCMfW1YIQtgQAJCQkYLFY1L+VvFpGo9GhsCUcW7UbxbFlMBgIDLSFcNVVYUuSJJFjqw7jafAEINecW8qUAkHNYWjzoQxtPhSAmf/O5Pfjv/Nsv2e5v+f9Lm6ZQFA60WnRAIT7hwvHlkAgqDFk5GXgZfTCqJcLhgnH1tWDCEUUYLFYiIuLK/K7InIIx1bNJSsri/j4eIfHqCQUx1ZAQAAeHh7q73VV8ElOTiYzM1P9u65u59XIY6seY8/lPYAQtgS1l7jMOE4lnSI+K770iQUCF5NrziU2MxYoELYMBcKWcGwJBAIXc8fSO3B/w53FRxcDiBxbVxHCsSUgOTnZoTCi5NYSjq2aidVq5fTp01gsFvLy8ggLCyvzvIpjKyAgAHd3d/X3uurY0rq1QAhbdYkdMTvUYSFsCWoTF9MvYtAbCPAKUEO58i118x4sqFtcTL8IgLfRmwCvAOHYEggENYa4zDgkJEa1HMWkjpMI8QlxdZME1YQQtgQkJiaqw0FBQSQkJADCsVXTMZlMavhodnZ2meeTJImcnBwAAgMD7RxbdVXY0ubXAiFs1SUSs233rxxTjgtbIhCUjzv+uIOt0Vv57ZbfbI4XIQwIagEXUi8AsltLp9PRsmFLhjUfRtuAti5umUAguNqJy5KjkHo36U3f0L4ubo2gOhHC1lVOTk4OWVlZAHh7e1O/fn1V2BKOrZqN9hg4qlxZHNpcasKxJajtJOUkqcPCsSWoTWirIgrHlqA2oc2vBXBH5zu4o/MdrmySQCAQIEmSGiYd7BPs4tYIqhuRY+sqR+vWKk7kEI6tmolW2CqPIKU9doGBgXbHvK4KPoUdW2azWZzDdYAcUw7ZJtmtGOITgo+7j4tbJBCUHUXY8vf0t4VyiRxFglqAImw182/m4pYIBAKBjbS8NLWDyKA38NfJv1gXtc7FrRJUF8KxdRVjtVpJSpLdDjqdjoCAALvxjhxbRqMRk8kkHFs1AK0wY7VasVgsuLm5OZw2OztbrXKpnS8gIACj0aj+fbU4tkDeVk9PTxe0RuAsFLeWUW/k8jOX0el0Lm6RQFA2zFazev4Kx5agtjGp0yRaNGhB8wbNXd0UgUAgUInLlMMQfd19OZtylom/TqRdYDtOPHrCxS0TVAdC2LqKSUtLU0Wr+vXrYzAYkCQJvV6P1Wot4thyc3NDr5dNfkLYcj2Fj4HJZHIobOXm5nLixAkkSSIsLMwuFDEwMBCdToe7uzv5+fl1Vtgq7NgC2Z0mhK3ajZJfK8A7QIhaglrFlgtbyDZlE+AVQIsGLQjwDqCZfzMaeDVwddMEglJpF9iOdoHt1L//OP4H0/+ezsDwgfw9+W8XtkwgEFzNKGGIIT4hGPSyzGGyiKqIVwsiFLGOEhERgU6ns/vn4eFBaGgoN9xwAytWrFDdWiALHCA7txQHT2HHlsFgUIUtZ4Rxbdq0CZ1Ox5AhQ8o0/T333INOp+P2228v0/SffPIJOp2ODh06VLiNQ4YMQafTsWnTpgovo6pwJGw5IiMjQ502KyuriGMLUMMR66KwJUlSscKWoHaTlZ+Fv4c/Qd5Brm6KQFAu/jzxJwAT2k7AoDfwUK+HOP/Ued4f8b6LWyYQlB8JidTcVNJy01zdFIFAcBXj7+nP5E6TGdt6LEa9/D1rthZNqSOomwhhq4ZisVg4e/Ys586dq5SINGDAAKZMmcKUKVMYO3YsBoOB5cuXM378eF599VVADi/08/NT51FEDovFgtlsthO2FFeEKxxb9913HwDLli0jJSWl1Ol/+OEHu/nqGoXPi+JEKaUCIthXUgSboKkc87oo9sTHx9vtA4W6uK1XGwPCB5D6YiqP9XmMLl91YdamWa5ukkBQKpIksezUMgBubHejaxsjEJQTq2Tlm73fsDpyteqEEKG0AoGgJtAtpBuLb17Mp6M/tTm2rMKxdbUghK0aysWLF0lOTiYpKalMIk5xTJ8+nfnz5/Pdd9/x9ddfc/ToUR577DEAFi9ezLFjx/D19bUL49HmXFIqJkJRYau6xa3BgwfTqlUr8vLy+Omnn0qcds+ePRw5cgSj0cjdd99dTS2sXsrq2NKKOvn5+VedY8tRfi0QwlZdIiUnhSPxR7iQdsHVTREISkVC4tvrv+Whng8xvMVwVzdHICgX8VnxPLTyIcYtHqf+phY/sIjnqkAgqBkowpZwbF09CGGrhpKQkKAOZ2dnV3p50dHRxMTEcObMGd5//318fX0B2Lp1qzqsoK2SpxXVvL291VBEqP7KiDqdjnvvvRewubGKQxl//fXX06hRoypvmysovP8dCVuSJJUobCmOLQ8PD3V8XcNRGCIIYasu4WmQc6XlmnNd3BKBoHT0Oj1jWo/hq+u/wsvoBcC6qHX0+rYXD/z9gItbJxCUjFIRsYlvE4xuckeoh0FU9RQIBK4nLTdNFbKU+5MQtq4ehLBVAyksWGiFpoqiCFRmsxmTyUSzZnKJ5uTkZHx8fOymNRqN7N69m+eff57evXvTr18/Ro4cyUMPPcTBgwfV6bSOod27d/PCCy/Qp08fQkJCcHd3Jzg4mPHjx7N+/fpKt19h6tSpuLm5sX//fg4fPuxwmtzcXH7++WfAFoaYkZHBd999x0033UTr1q2pV68e9erVo3Pnzvzvf/8jNTW1XO0oLffWrFmz0Ol0zJo1y+H4ffv2ceeddxIeHo6HhwcNGzZk1KhRrFq1yuH0V65c4cknn6RNmzZ4enri7e1N586defjhh/nxxx8Bx8KWyWSyq2opSZLddFeDY0srbClCHtTNbb3a+GjHR4xaNIq/Tv0FCGFLUHtJz0tn35V9nEgUlZsENRtF2GpWv5n6m3BsCQSCmsBtv9+G+xvuLD6yWCSPvwoRwlYNJDMz0+5vZ4f8paamkp6eDsgf+oUrw73xxhs8+uijbNmyheDgYIYMGULTpk1ZuXIld955J8uXLy/SrpdeeomPPvqI3NxcevbsycSJEwkNDWXFihWMGDGC2bNnO6XtjRs3ZuzYsQDMnTvX4TRLly4lNTWVJk2aMHr0aAAOHTrEAw88wLZt2wgJCWH8+PEMHDiQK1eu8Pbbb9O7d2+7ZPpVyezZs+nTpw+LFy8mICCACRMm0LFjRzZt2sS4ceN4/fXX7aaPjY2lV69efPbZZ+Tl5TF69GgmTJhAeHg4kZGRzJs3D3AsbOXmFv3QVwQdvV5P/fr1gbqdY+vCBVt4Wps2bdThuritVxv7Y/ezNmotSTnytSuELUFNJzIpkufXPs+ui7vsfhc5igS1hQup8jM13D9c/U2cvwKBoCYQmxmLhESAVwCN6jXiq3Ff8fmYz13dLEE1YXB1A6qKrPysYse56d3U0JXSptXr9GqoQHmnzTZl45bvZhe+p6DT6fA2ejtcjiI6KTgj5M/NzU1NGr5nzx4uXboEwJgxY+zya3333Xd8+eWXhIWF8d5779G6dWtADkNMTExk7NixvPvuu3Tr1o3OnTur8z377LP8+OOPNG7c2G69//33H6NHj+b555/nlltuoWnTppXelvvuu4+///6bn376iQ8++KCIo00JQ1TcXSBXiVy/fj3XXXed3fHIzs7m4YcfZuHChbzyyit8+eWXlW5fSfzzzz88/fTTBAQE8McffzB48GB13JEjRxg7diyvvvoq1157Lddeey0A3377LZcvX+aBBx7g66+/Vo9XfHw8Z8+eZf/+/YBjB5KjpOkKDRs2VPdFXXZsxcTEqMOtWrVix44dgBC26gKJ2YkAhPqFcjjusBC2BDWe9WfX8+F/H3Io7hBr716r/i5CuQS1BdWx5W9zbPl7+tO3aV+CfYJd1SyBQCAgNjMWgBCfEPw8/Hio10MubpGgOqmzwpbPOz7Fjhvbeiwr71ip/t3ow0Zkmxznsbq22bVsmrpJ/TtidoT6MVWYXk16sef+Perf1/x4DTEZMQ6n7RDUgWOPHHM4rrCw5QzHll6vJy0tjaNHj/LRRx9hsVi499576devnzqN1WpVQ+feeustVdQC8PX1pUOHDjz++OO8++67LF26VHVOgSyQOaJfv348+uijvPPOO/z111888sgjld6WcePGERISQmxsLMuXL+eWW25Rx0VHR/Pvv/8CMG3aNPX30NBQQkNDiyzL29ubr776isWLF7NkyZIqF7ZeffVVJEni66+/thO1ADp37szHH3/Mbbfdxueff64KW3FxcQCMHj3aToSUJAmDwUCfPn0Am2MrLy+PvLw8fH19SxS2tGF5So4tk8mEJEl266ntXLx4EZBDbLXngBC2aj9J2bJTK9RXPq45puLPd4GgJhCTLr8TtA1oa/e7cLwIagtKkQ6tY6tVw1bsnL7TVU0SCAQCzFYzCVlyjurGvo1LmVpQF6mzwlZtxWQyFUkWXxnH1rRp0+wEHpDdW6+//jpjxoyxSxx/4MABLl++TMuWLWnfvr3dPEoermuuuQaAw4cPF2lXUlISK1eu5OjRo6SkpKhCS2RkJACnTp2q8HZoMRgMTJkyhffee4958+bZCVs//PADVquVa6+9llatWhWZd8eOHWzdupXo6Giys7NV0dDd3Z2EhARSUlJo0KCBU9pZmMTERHbv3o2Xlxfjx493OM2QIUPUdir06dOHOXPm8OKLLyJJEiNHjsTHx6eI4Gm1WsnLy+P48eNYLBbCwsJKFLaU/Fpgn8fNZDI5Ja9bTUFxbDVt2hQvL5ujUghbtR+lk6F5g+Y08W1CoHdgKXMIBK7lUobslm7qZ+9eFjmKBLWFzo0689epv+wcWwKBQOBq4rPikZBw07kR4BWA2Wpm8/nNmK1mRrQcgV4nMjDVdeqssJU5I7PYcW56N7u/45+LL3bawhfB+SfPl3nanXfvxNfXt9hQREcUdmtB5RxbAwYMoFWrViQlJZGSksLBgwfJysrivffeo1mzZvTo0UOd9uzZswBERUXRu3fvEpebmppq167vvvuOp59+mqys4kM1HW1bRbn33nt57733WLt2LZcuXaJp06ZIksT8+fMBW9J4hfj4eG6++Wa2bdtW4nLT09OrTNg6d+6cWqVQcUgVh7Yq5t133826dev46aefuPnmm3Fzc6NDhw50796da665xu5YJSYmqiGnV65cUcVHbSiqgtaxpRWy8vPz64ywlZ2dTXJyMgBhYWF2+10IW7UfJbfWLR1u4cWBL7q4NQJB6VxKLxC2fAsJWyIUUVBLeKDnA3yz7xv6NO3j6qYIBAKBypWMKwA0qtcIN70bGXkZDP9xOAA5/8uxS0MkqJvUWWGrnns9l0/rbfSmnns9h8JWcWRkZBT5rTKOrenTpzNlyhT27dsHyInpn3/+efbu3cuMGTO45ZZb8Pb2tltPSEgIffv2Vavpubm5qWJPVlYWOTk51K9fX51+3759PPjgg7i5ufHee+8xfvx4wsPD8fb2RqfT8e233/Lggw86NQl+mzZtGDRoEFu3bmXhwoXMmDGDjRs3cv78efz9/e1cXMp+2LZtG/369eO1116ja9euNGjQAKNRLgXbpEkTrly54rQ2Ojpmym8+Pj7cfPPNZV6WXq9n0aJFvPTSS6xcuZLt27ezfft2jhw5wsKFCxk0aBAffPABbm5uavVLwK4aoq+vL2lpaXbbV5xjKy8vr0ilzNqKEoYIcjiqELbqDnnmPDLz5Q6MAK+AUqYWCGoGxTm2vAxeBHoHEuAtzmVBzWPG+hmsjFzJc/2f464ud3HpmUsY3Yzq+PS8dDrO6Ui+JZ+Yp2PU0FqBQCCoLpT8WkoYolIVEeTKiELYqvvUWWGrtuLI1VTZ5PFaMcPHx4e3336bW2+9lcuXL/Pxxx8zc+ZMQHa0gCx4fPjhh6SmpgKysyciIgKAS5cuceXKFbvlLlmyBEmSePzxx3nhhReKrF8JRXQ29913H1u3buWHH35gxowZanXA22+/3S7kLCsri1WrVqHX61m1apVaCVA7PjY2tlzrVoQgR0Ik2FfiU1D2r06nY968eeUSPAE6dOhAhw4deP7555EkiV9//ZVHH32UrVu3snLlSiZMmOCwCiKAl5cXubm5duMd5diCupVAXps4vrBjqy5t59VIWl4a9T3rk5mfib+nv6ubIxCUieIcW+2D2pPwfIKjWQSCakGSJFJzU2ngVdS1fiD2AEfij5BnzkOv06N3s39/MegNXEyXO5LyLflC2BIIBNVOUL0g7ux8pxomrRW2zFZzcbMJ6hAi2LQGkZeXp35saz/AK+si0s7v7e1NaGgoDzzwAICdgNW7d28CAwM5fvw4586dU+fRuncKJy8H1FCvZs2K5lvIzc3ljz/+qFT7i+PWW2/Fz8+PyMhIVqxYwdKlS4GiYYhpaWlYLBb8/PyKiFoAixYtKvc+Vqo7njhxosi47OxsNm7cWOT3Jk2a0KVLFzIyMlizZk251lcYnU5H//79GTVqFACnT58ucXovL68i4YXFObbqkuBTkrAlHFu1m0b1GpHyfynk/C+HKxlXGDBvAIN/GFz6jAKBi8jIyyAjX+4MKezYEghcicli4pYltxDwfgAfbP+gyPgTifK7TrvAdg7nV3LEgQinFQgErqFP0z4sumkRbw17Cyjk2LKaXNUsQTVSIWFr6tSp6HS6Ev8V5xwRFE9mpi0vmJ+fnzrsTMeW0Wikffv2vPHGG4SHh5OWlsZHH32kjlOq9j388MMcPHgQg8GAv7/NDWG1WtmzZw9HjhxR26Ukml+wYIGdgyk3N5dHHnnETiRzJt7e3kyePBmQc27l5OTQuXPnIvnBgoODadCgAampqfz4449243bu3MmMGTPKve7hw+WY7S+//JJLly6pv2dlZfHAAw/YCSpa3nzzTUBO6v/3338XGS9JErt27WLtWlsZ+IULF6qhpFoyMjLU3xs3tq/+oS0KALKwVTivV0k5tuoKIhSx7mPQG5CQ2BGzg50XRVUuQc3Fy+jFoYcOsebONfi4141wb0HtxypZmbJsCktPLEVC4oX1LzBnzxx1fFZ+FtFp0YDsLHSEm94NN52cv1YUQBAIBDUBnU6n3pdMFiFsXQ1UKhRRSUzuCDc3N4e/C4qnsLClJBCvrGNLK4wpjisPDw9mzZrFvffey+zZs3n66adp2LAhjz32GNHR0XzwwQfcf//9dOzYkVatWuHl5UVsbCwHDhwgLS2NF198UV3utGnTmD17NgcOHKB58+YMGjQINzc3tm7dSk5ODk8++SSzZ8+u1DYUx3333cc333yj7qvCbi2Qz8VXXnmFp59+mnvuuYcvv/ySFi1aEB0dzY4dO7jrrrvYsmWLw/DB4rjtttv49NNP2bt3Lx07dmTgwIFYrVb27t2Lu7s79957rxoaqWX8+PHMnj2bZ599lgkTJtCqVSvatm2Lv78/CQkJHDp0iPj4eP7v//6PkSNHArB06VKmTJlCkyZN6NatGw0aNCAlJYWtW7eSkZFBy5YtmThxot16GjVqhF6vJy0tDYPBgIeHRxFhq6QcW3WFwo6t8+fPq3/Xpe282lHyJpisJixWS5ECIQJBTcCgN9AluAtdgrsUGZeZn8n1i68n35LP5qmb7fIXCQRViV6np0twF34//jsT201kyfElPLrqUfw9/Lmzy52cSpIrWgd6B5ZYedbD4EG2KVs4tgQCgUtIyUnBx93H7vlpdDNiMVtEKOJVQqWErenTpzN16lQnNUWguJ10Op2d48aZji1tXqd77rmHDz/8kOPHj/PBBx/wzjvvAPD+++8zceJE5syZw7Zt21izZg3u7u40btyY/v3707NnT6677jp1ufXr12fv3r28+uqr/PPPP6xevZqAgABGjhzJq6++WmolwsrQu3dvOnfuzJEjR3B3d+euu+5yON1TTz1F8+bNef/99zl+/DjHjh2jXbt2fPnllzz00EM0b968XOs1Go2sW7eOl19+mWXLlrF27VoaNWrEjTfeyBtvvMGcOXOKnfeJJ55g6NChfP7552zcuJENGzag1+sJCQmhe/fujBs3zi65/LPPPkvz5s3ZsWMH+/fvJzk5mYYNG9KqVSuGDx/O+PHj7XKKgRw+6uvrS2JiIn5+fuj1+iKhiFdjji0lPxwIYau288fxP/h2/7eMbjma+3ver/6eZ8nDW+/twpYJBOVHh47NFzYDco4iIWwJqpMXB77IbR1vo3n95jT5pwmzd83m6X+eZnLnyZxIkMMQ2wc6dmspuLu5k23KJt9Sd94hBAJB7eH6n69nR8wOlk1axg3tbgBs4YgiFPHqQCSPryGYTCY1fNPb29vO8VYRx5bWmZKTk6MOa3Nkubm5cezYMYfz9+/fn/79+xf5PTExUV22tl2BgYF8+eWXDpfVqlUrhwLokCFDnFKF8PDhw2Wa7oYbbuCGG25wOE67v7Rs2rSp2OXVr1+fzz//nM8//7zIuFmzZjFr1qxi5+3UqRPffPNNSc1VGTRoEIMGDSrye1RUlF0VRAVPT0+12mNISIj6e1kdW3VJ2FJCEd3d3QkMDBShiHWIYwnHWBu1ljC/MLtKN7nmXLyNQtgS1Dz+OfMP+67s49pm1zIgfIDdOA+D5t5kyaMeZa/ALBA4gxYNWgDwwYgPmHtgLsk5yUQmRXIy8SRQfH4tBSXPlghFFAgErkCpiqh1lr4z7B2sklVUz75KEMJWDUEbhujj46PmKpMkqcocWxVBK4xVtl2CyqE9rgaDAbNZttlqk/1rKcmxVVeFLcWxFRoail6vF8JWHeJM8hlA/hgz6A0Y9AbMVjM5phzwKmVmgcAFLD+1nDl75/DSwJeKCFsGvQG9To9VsopQLkG1kZidyPqz6wnwCmBEyxGAHLqz9q61dAjqgL+nP/U969MhqIPDEFotXYK7kJSThFEv3IYCgaB6kSSJKxlyVEaIj61T/7E+j7mqSQIXUClha+PGjRw5coSMjAwCAgLo06cPY8eOLeIMEZSOVthSwhD1ej0Wi6VKcmxVFK0w5gy3laDiaI+ru7u7KmwVThyvYDAY1OOv0+lo0KCB3fwKdUXwyczMVCt+hoWFAXU35PJqpHCVLk+DJ5n5meSaReESQc3kUoZcaKS4iojubu7kmnNFKJeg2jiZeJLJf0ymdcPWnH7cVl25X1g/dfjZ/s/ybP9nS13W2rvXljqNQCAQVJbzqed5ZeMr/G/Q/2gb2BaAjPwMcsxyhJJW2BJcXVRK2Fq4cGGR3xo3bsy8efMYPXp0sfPl5eXZfTynp6cDcjieyVRyDKzJZFJdTDXZMaSIPmV1XGmrCdarVw+r1aoKW5Xd1sLClrP2W00/BnUdrbDo5eVFdnY2IDu2ijsunp5yyFZYWJjd8TMYbLeC7OzsUq/D2oC2GmeTJk0wmUx2wmxOTk65tlOZti7sm9qOJElqeEyr+q0wmUw08m6Et8GbnPzyHVfB1Ut1X9MX0+XQ6BDvEIfr9HDzINecS2ZupjiHBdVCeo78/u1l8KoT55x4TgsEdY/C1/Vz/zzH7su7Gdl8JC385RDqmBQ5QsPX3Rd3nbs67YHYA2TlZ9EluAt+Hn4uaL2gspTnfl4hYatr167Mnj2bYcOGER4eTk5ODocOHWLWrFns2LGDCRMmsHbtWoYMGeJw/nfeeYfXXnutyO9r167F27vk3CgGg4GQkBAyMzNrheNCK1gVh9VqVUUJd3d3srKyAJtwYbFYVPGvIijLBtmlUpllafN15eTkVGpZgsqhvdB9fHwwm814enqSk5Njd5y0KNUXb775ZlatWqX+fvbsWXV4586dVdfoauTgwYPqcH5+PqtWrbJLJh8VFWW3D8rKunXrnNE8QSVIzE8kMz8TN9yI3BXJOd05Po74GICoXVFEEeXiFgpqE5W5piVJItOSia/BsVNWy9kE+T577vA5Vp1xcO+xyP9t2LSBM15nKtwmgaCs7EyVn/d5mXlFnocrElawKXkTdza+k+5+3V3RvAojntMCQd1j3bp1mCUzayLXkGXJIuZYDKsuyPeto5lHAfDV+drdyx48/iBx+XG82/pd2tUrOU+goGai1TFKo0LC1tNPP233t6+vLyNGjGD48OHceOON/PXXXzz11FN2H5ZaZsyYwTPPPKP+nZ6eTlhYGCNHjsTPr2Q1NTc3l5iYGHx8fFT3SU1EkiQyMjLw9fUtNfxPG4bo7++v7gNt3qTS9ktpbVHw8vKq1LK0jhd3d/dKLUtQObTHIiAgwC4ZfHG4u7vTqFEj7r33Xrvr58wZ20dUp06dGDt2rHMb6wLi4+PV4WuvvZaxY8cSFWUTPIKCgsq1nSaTiXXr1jFixAg1Ob/ANWw4twGOQ8uGLZkwboKrmyOopTjjmn5z65u8vvV1lt66lOtbX1/sdGarmbRDaQDcNvo2h6ESQdFBkAX9B/ana3DXCrVHICgP6cfS4Tw0CWpS5Hm4fNVyzlw6w2tnX2Nyx8ksuGFBicu6e9nd7L68m89GfcaolqOqsNXFI57TAkHdQ3tdb764maxDWTTybsTTtzyNm14utpZ5PBPOQMtGLe3uZf7R/sQlx9G7b28GhRctxCWo+ZTHROPU5PE6nY7XXnuNv/76i0OHDhETE6PmttHi4eHhMA+X0Wgs9UFksVjQ6XTo9fpKJ0KvSpQQL6WtJaGIVyDvG2V6RRBTwhIrSuHk8ZVZVuFqjTX5GNR1lONanmOq1+vR6XRFrjUvL1u2bYvFUideCK9cuaION2vWDKPRaJdY32QyVWg7y3KfElQt2ZZsgusF06FRB3EsBJWmMtf061tfB+CmJTchvVp83sm49DiskhWD3kDT+k3R64resyMfj6xQGwSCipJvlSMf6nnUK3INjGo1inkH5wGg0+tKvUZis2I5l3qOLHOWy+/L4jktENQ9jEYjf0f+DUCLhi34/dTvjGo5iqB6QYTXD+euLnfRNqCt3bXvbpBzCEs6SdwTainlOW5Or4rYvn17dfjixYsOhS2BPcVVLVSGJUlCkqQKJ37XLr+yyeO184vk8a5F2f+VPaZQN5Oqa8MOHSWPrytJ8q9Gbmp/Eze1v8kuyfYTq5/gUNwh3hr6FgPDB7qwdQJBUS6ly4njG/s0dihqCQSuINskh3h4G4umARnWfJg67O/hX+qyPAzy8zXPIp6tAoHA+VglK8tOLgNg58Wd7Ly4k79u/4sJbScwqNkgBjUr6sgy6GWpw2w1FxknqHs4/e0qKSlJHS6uOpvAnuKqFjqrAqF2+ZV1WGnbJxLHuxZl/zvDNaetilhTha1ffvmFd999l9zcslW9E8JW3cfdzXbeHow9yJYLW4jNjHVhiwRXG91CuqnDidmJxU7XNaQrhx86zK+3/FoNrRIIyoYibHkZvIqMC/AOUO+xg5sNLnVZHm4FwpZZPFsFAoHz2XN5D1cyr+Dr7sutHW4F4Gj80RLnMeplt4/JKgpKXA04Xdj65ZdfADknVNu2bZ29+DpJcY4qZ4lIznRsaUUUIWy5Fmc6tmq6sBUZGcnkyZOZMWMGX331VZnmuXhRrkDm6emp5h+ri840gYyXUf4wyzE5LpwgEFQFu6bvItQvFIDt0duLnc7T4Enn4M70C+tX7DTP/vMswxcOL3E5AoEzub7N9cy/YT73dr/X4fgTj57gxxt/ZFLHSaUuS3FsaZ20AoFA4Cz+PPUnAOPajKNn456ALGxZrBZ2xOxw6Mq66hxbVitsv3rfIcotbB08eJDly5fb5YUCWeSYO3cuL730EgBPPPGEiGUtI6WFIhaeprxUlWNLhCK6lqoStmqik+n8+fPq8PYy3rAVx1ZoaKi6j2r6dgpKJy03jWafNmP0otGYLLYeOE+DXAwh11w2R59A4Azc3dz5fMznrL5zNUObD63UsvZc3sOGcxu4knml9IkFAifQsVFHpnSbUqwjq0WDFtzV5a4yvWeoji0RiigQCKqA0S1GM63bNO7sfCedGnUC4Ej8EfZd2ceAeQNo9VmrIt+mRjdZi7hqhK2vv4aBA+HuuyEhwdWtqXbKnWPr/Pnz3HjjjTRo0IAePXoQHBxMamoqR48eJTo6GoDJkyfz6quvOr2xdZXqdGxVVthyltgmqDzODEWs6U4mbZuOHi3ZdgyQmpqqVtHQ5vnT6XS4u7uTn58vhK1ayonEE0SnRWO2mtUXFhDClsB1TGw3sdRpFhxcwMX0i9zQ7gb1hbwwStiXcLwIaiMiFFEgEDiLhYcWsuXCFp6+5mnaNGgDwJCIIYxoPQKA6DRZcziZeJKVp1cC0KNxjyIi/PTu0xndcjQdgzpWY+tdxOXLMGOGPLxoEdx3HwwZ4tImVTflFra6du3KU089xd69ezl58iTbt29HkiSCg4O55ZZbmDZtWpGSwYKSqeocW1WVPF6EIrqWqykUUdumyMhIcnJy7Co5Fkbr8GrevLndOCFs1W5OJp4EoH1ge7vflRwxOWYRiiioPl5c/yIJWQm8MOAF2gYWn35hwaEFbDy/keYNmhcrbKnJt4UwIKgm9lzaQ1xWHJ0adSKifkSlltXEtwltAtpQ37O+U9omEAiuXmZtmsW51HPMPTCXLo26MKvxLLvxYX5h+Lr7kpGfwRd7vgBgZMuRRZZzd9e7q6O5NYMnnoCCTn3uvfeqE7WgAsJW8+bN+eSTT6qiLVctxTmqnCUiFSecVQTh2KoZKJUy4eoQtkwmW8iZ1Wrl5MmTdO/evdjpz507pw4XFrY8PDzIzMwUwlYt5UTCCQDaBbaz+104tgSu4I8Tf3Am+QwtGrQgIz+DWzrcQq8mveymsUpWTiWdAlDzcTlCOLYE1c1H/33Er8d+Zfbo2TzR94lKLeuNoW/wxtA3nNQygUBwNZNlylKHD8cfZr40n+u5Xv1Np9PRqVEn/rv4H8k5yQCMaDGi2ttZY1i+HP74Qx4OCoIPPnBte1xEuYUtgfMpzlFVFY4tURWxbuDMYwo1P/dUYbHt6NGjJQpbWsdWRESE3Tgl7LImbqegdE4mOXZseRu9HZasFwiqEsVdtfDwQk4nncbT4FlE2Np4biOXMy5T37M+vZv0LnZZIkeRoLopqSqiQCAQuArl2frjjT+y7cI2WmS0KDLNK9e+wl8n/+LrfV/TokELWjZsWWSaC6kXSMpJItQvlEb1GlV5u11CXh48+qjt708/hYYNXdYcV+L0qoiC8lOWUMTKOrbuuOMOevfuTUBAAElJSRVelrZd1eXYkiSJDz74gE6dOuHl5YVOp3OKS6k240wXHtSuHFsAR44cKXH60hxbIISt2ooSiljYsfXxqI/JeimLV659xRXNElylKCLUsObDAPj4v49p/2V7Bv0wiJg0uYDFvIPzAJjcabJavdMRwrElqChf7/2acYvHkZWfVfrEGpTQbdEpIBAIahLKs3VQ+CA+H/05besVDfUf3Wq0mmt1ZIuiYYgAz617jp7f9mTJsSVV11hXs38/FFSCZ9gwmDzZte1xIULYqgGUJRSxMiLSwYMHiYyMBGSBYNGiRRVelrZdWnFl1qxZ6HQ6Zs2aVallO+Krr77ihRde4OLFi4wZM4YpU6YwZcoUp6+nNuHMvGlQ80MRHTm2SqIsjq2auJ2CkknLTSMySb6XFZenSCCoThQRanyb8Rj1RjLyMziZeJJt0dt4aOVDpOamsvTEUgDu7X5vicvycPPATeeGVRJuaEH5eHjlw6yKXMWXe74s13yKY8sZwtbc/XPp/FVnXv735UovSyAQXN28PuR1XhvyGg29SnYerY1aC8CIlo7DEI36q6Aq4hVNJeXhw+EqNn+IUMQaQFlCESvj2Pr1118BaNSoEfHx8cydO5cnn3yywsvT6/VYLJZqc2z99ttvACxZsoQRI67i+GkNVRmKWBMFn/IKW4pjy93dncaNG9uNE46t2ktCdgLXRlxLUnYSwT7Brm6OQKCGS7QLbMepx04RnRZNSm4Kk36fxKrIVUxZNoVccy6dGnWiZ+OeJS7r2/Hf8t2E76qj2YI6ytmUs+Wa3pnCVnJOMkfjj9KjcY9KL0tQMzibcpYQnxDh6BNUO88PeF4d1ubZLcwPN/zAurPrGNp8qMPxBr0sdZisxS+j1hMXZxsOvrrfjYWwVQMoLqzMGfmssrOz+fvvvwF47bXXeP755zly5Ah79uyhd+/ic32UhNKu6hK2oqPlkq6tW7eulvXVBpwdiljTc2wVfqjFxMSQmppK/fr1i0wrSZLq2GrWrFkR4U8rbEmSdNWHtdYmWjVsxcYpGx3ee1aeXsmcvXPoF9qPmYNnuqB1gqsRxbHlYfCgiW8TmjeQQ5/fHvo2XkYvckw5bLmwhXu73VvqvUbciwQVwWSxPR/T8tLKNW+OSQ5FLClEtqyIqp51i8Nxh+n6dVfaBrTl5GMnXd0cgcAh/cL60S+sX7HjFWGrTju24uNtw43qaB6xMiJCEWsAxblvnJE8fsmSJWRmZtKyZUt69erFrbfeCsDcuXMdTh8REYFOp7ML5dIydepUunbtyt9//62KKzqdjtdeew2QxTMlB5ZOp2Pq1Kl28ycnJ/PSSy/RsWNHvL298fX1pWfPnrz//vvk5OTYTTtkyBB0Op3qvmnevLm63MIhj//88w/XX389jRo1wt3dnSZNmjBp0iT27t3rcDuUZW/atImtW7cyfvx4goKC0Ov1zJ8/v8i+WL16NUOGDMHf358GDRpw/fXX2+V5Wrx4Mf369cPX15f69etz0003ERUV5XDdAJcvX+aZZ56hffv26n7o3bs3X3zxBWZz0Zvv1KlT0el0zJ8/n6NHj3LXXXcxevRo+vbty+zZs4tdT1mpbTm2AI4dO+Zw2qSkJDIzM4Gi+bXAfltL6gUS1FwcCQAX0y+yKnIV+67sc0GLBFcjFqsFi2QBbPmxFJ7t/yyP9H6EZ/s/y5Vnr/BAzwdc0UTBVUBidqI63D+0f7nmdaZjS+SIq1v8cVyusKZUdBUIqguTxcSeS3s4EldyPt2ycFWEIgrHlooQtmoAxYUiOsOxpQhYEyZMAGDatGkA/PLLL0WEpPKitHvKlCl07doVgK5du6o5sKZMmcLAgQPV6c+ePUuPHj145513SEhIYOzYsQwdOpTIyEj+7//+j4EDB5KSkqJOP3r0aKZMmUK9evUAuPnmm9XlduvWTZ3u5ZdfZvTo0axatYo2bdpwyy23EBwczG+//cY111zDvHnzit2GJUuWMGTIEM6ePcvw4cMZMWKEnfAB8M033zBu3DjMZjOjR4+mUaNGrFy5ksGDBxMVFcULL7zAlClT8Pb2ZvTo0fj5+fHnn38yePBgu+1R2LJlC506deKTTz4hNzeXESNGMGDAAKKionj88ccZN25csYLLjh076NWrF3v37qV79+4MGDAAX1/fUo5U6dS2UEQoPhyxpPxaUPPdaVc7WflZPLn6SZafWm73u8liIim7+MIXngZPAHLNuVXaPoFAQa/Tk/h8IpeeuVRiHhBPgyf13OuVurwlx5Yw8ZeJzNkzx5nNFNRxfD18+eXmX/j2+m95vO/j5Zr33eHv8sWYL4ioH1HpdoiqnnULEX4ocBXxWfH0+b4PPb6tfFizGopoqcMd2ULYUhGhiDWAslRFrIhj6/Tp02zduhWj0ciYMWMAGDBgAO3atePkyZP8/vvv3H333ZVqtyRJzJ8/n1mzZnHo0CEmTpxYbAL5O+64gwsXLjBhwgQWL16sClYJCQmMHj2a/fv389hjj/HTTz8B8OKLLwKwadMmsrKy+PDDD4sIFWvWrOHNN9/E09OT5cuX2+Xgmjt3LtOnT+ehhx6ib9++dOzYsUib5syZw5dffskjjzxS7HZ+8sknrFu3jmHD5KpXFouFyZMns2TJEiZOnMiVK1fYu3evKu5lZ2czYsQIduzYwZw5c/jf//6nLis2NpabbrqJ1NRU5syZw4MPPqge56SkJG677TbWrl3LO++8wyuvFK3u9t133/Hiiy8yY8YMTp8+Dci50ypLXRK2tBURHQlbWuEyLy/PKcKgwHl8uvNTPtv9GZ/t/oxlk5ZxQ7sbANh5cSeD5w/muojr+HfKv0XmU0JplNAagaCq0el0BHgHOG15kcmR/HXqLwK9A522TEHdx8fdh0mdJlVo3js63+G0dohQxLqFch8a13qci1siuNpQxHFFLK8wGRm0ikxCZ72KHFtBQa5rRw2gbjq2evWC0FCX/tOFh+PXsSO68PBSp20+eDBdxo2j/T33ONWxpTiVrrvuOho0aKAu89575cpMxYUjloeyCm7btm1j165deHt78+2336qiFkBQUBDffvstIDvJLiolS8vAhx9+CMAjjzxSJLH8fffdx/XXX4/JZCo2XG/o0KEliloATzzxhCpqAbi5uTFjxgxAFldef/11VdQC8Pb25tlnnwVgw4YNdsv69NNPSUpK4tFHH+Xhhx+2Ey8DAgJYuHAhRqORL774wuG+bdOmDW+++Wax50lFqY3CljYUVIvWsVVaKKJwbNUssk3ZfLrrU/XvDkEd1OGt0VsBinXGCMeWoLYjQrkElSUjL8Nl549wbNUtMvPllA4+7j4ubonA6dTwNByKOK6I5RXCYoF+/Xj66V9Zf34QQyKGOKdxNRElx5a/P3h6urYtLqZuOrZiY+HSJZc2QVfwrywYNcPOyrFlNptZsGABABMnTpTbVJCf6p577uGll15iy5YtREVF0bJly3ItW0tZ27Vp0yZADi8MdmCT7NmzJ127duXQoUNs3ryZO++8s9Rlms1mtm/fDlAkl5fCfffdx4oVK9i4caPD8bfcckup6xk7dmyR37SJ7Esaf/nyZbvfV65cCcCkSY57V5s2bUrr1q05fvw4kZGRtGnTxm78xIkTcXNzc3pVRKPRdhbWRLHHUWjmoUOHyMvLKxI6Wh7HVk0U8a5mvt//PYnZiTTzb8a2e7cR6heqjtsWvQ2AQeGDHM4rhC1BdZOck8xLG16inrEeH436qNLLE8KAoCIcTzjOqcRTTPtrGml5aWy4Z0OxFcK0mK1m1kWtw9vozcDwgbjp3SrVDl8PX5r4NhGOwzpClikLEMJWnePVV+Hdd+G116AgMqam4RTH1vnzUJCLd+ixbGg5ouTpazOKY+sqD0OEuipshYS4ugVIoFZcK03gMpnNSJKEKSAA92JCEcvr2Fq5ciWxsbE0bdqU/v37YzKZ1OUFBwczduxYli9fzrx583jrrbfKtWwtZRW2LhUIjY4cNAotW7bk0KFD6rSlkZSURG5ubonLVUS74pbpSPgoTHh4eJHffHx8ShyvhLcp7VM4e1YuxT1okOOPcy0JCQlFhC2lvc6uiqjT6XB3dyc/P79Gij3aNrVu3ZrIyEhSU1NZuHAh999/v920wrFVO8m35PPBjg8AmDFwhp2otSpyFavPrAZgUDPH146XoSAU0SxCEQXVQ0pOCt/s+wYfdx/nCFsilKtKyDHlcMfSO+gR0oOZg2fWueqTvx//nVc3var+HZUcVSZhKz0vnbGL5Y4508uVd3CMbDmSS8+4tlNZ4Dyui7gOgLkH5nJv93vpH1a+wgS1iuXL4fHH4Z574I03XN2aqkOSYPZsyM+HTz6pucKWMxxbkZG24VOn5G2vY/d+AHJzIT1dHhbCVh0VtoqphFedSFYr6enp+Pn5oSvFUXP62DFycnLQ6/Vo0+RVJhRRCTPMzc1l6tSpqsimhAAqQs/8+fN5/fXXcXMrW09d4XZUNKl9TcHLq/QS16U5osrjmFL21y233GIXjumIgICiuVuU9hZXcKAy1BZha8aMGWo47bvvvsu0adMwGGy3MsWx5eXl5TD/mBC2aia/H/+dKxlXaOzTmCndpqi/bzq/iXGLbTk+ugZ3dTS76tiyWC1V21CBoAAl5KvSeUAKuCpCETdvhqVL4bHHQON8rkpOJJ5g2cllLDu5jBxzDm8Pe7ta1ltdaKsiAkSlFF+RWYtSEdGoN6oJlgUChX5h/bimcW92XtlT5Byrc7z3HkRHw1tvwQsvQF3NvZqaCmlp8nB8vCyI+Pm5tEmOcIpjqyAPMQCZmcRGHiCkTeWT0dc4lDBEACfkXK7tiCdZDUARKQoLFBUNRbxy5QqrVq0CZFdTUlLxlcQuX77MmjVrGDdO/nBUci1lZGQ4nP7ChQsO214aTZs2BWyOJUco45RpSyMgIAAPDw/y8vI4e/YsXbp0qfQyq5qwsDC1CmSvXr0qvBxnhyKC7djXdGFrwIABDB8+nPXr13P27Fl+/fVXNXRVkiTVsRUREeFQ9BPCVs1hy4UtjFo0is6NOvP35L/xNnrzTL9nVJEKoFeTXrRu2JrI5EjGth5bbLhMzyY9Mb9srnQ4jUBQVpSXb0WQqjCXL8PSpTRsabFbbp3DYoFbb4WEBDhzBgpC853NpfRLeBm91Hx8PRr34Jvrv+HBFQ/yzrZ38HH34aVBL1XJul2BIjqE+4cTnRZdbmFLVL8TOGTrVtY+fYBdwXBxfB0XtpRvE0mCqCjQVF6vUxT6hiMyEnr2dE1bSsDpji3gxyUv8/z/quaZ41JERUQ76mby+FpGccJWRR1b8+fPx2Kx0LdvXyRJ4sCBA+zZs4fDhw8jSZL674UXXgDsk8grAtCJEyeKLDc2Npb9+/fb/aa0SxFFzGbHVSeGDBkCyFUM47QXYQEHDhzg4MGD6PV6Bg8eXKbtNBgMDBw4UN1mR2gT6NcElOqUv/32W6WW4+xQRLAJPjVR7NEKW+7u7naVJt955x11f8TFxanhn8WFmWoT5dfEbb2ayDXnkmvOJc+SR3JOMm8OfZMn+z5pN42Puw977t/Du8Pe5ZNRnxS7LL1OL0QtQbWiOrYq8/INMG0aPP44g577DKjDoYjR0bKoBbBvX5WsIi03jZaftaT57OZYJdtz8oGeD/DhCLnYzP/+/R+7L+2ukvW7goRseZ/2bdoXgLMpxXcganG2sBWZFEm/uf0YvWi0U5ZXI7Fa4ddfYc0aV7ekykn9/EN8s80MPwfuBw67ujlVR26unJtZ4cwZ17WlqtGk6gBq7LZG1I9g5qCZTO8+veILKSRsBV1MrmSraihC2LJDCFs1AOWjvLDzpqKOLUXMmTJlSonLv+eeewBYsWIFCQUvm8OHDwfgvffeIzU1VZ02ISGBe+65h8zMTLtlKO0KDZXz4RwrSNRXmIEDB9K3b19ycnJ48MEHyc7OVsclJiby4IMPAnD77bcTFhZW5m1Vqg9+9dVXRSoQzp8/n+XLl2M0GnnyyScdzV7tPP/889SvX5+PP/6Yjz76yKE76ty5cyxatKjE5Vxtji1t8nh3d3euvfZa+veX8z0cO3aMESNGsGfPHqKibD3VxeVdE46tmoPaK+fmQfug9jzR9wmMbsYi0/l7+vN/A/+PNgFtiowTCFyFcv5WyrFlNkNBcZUGx8+S+3QyW6ZtcULraiCnTtmG4+JseUGcSFRKFHmWPNLz0jkSdwRJktQy78/2f5bRrWTRZdfFXU5ft6tQHFuKsBWVHFWmd8Yck5yP0MtYekqGsmCymth5cSd7L7s+HUiV8ddfcPvtMGYMFOrorWtcPLxVHTaevVDClLWcmBj7v2uo2OMUHDm2aiCtA1rzxtA3eLzv4xVfSKFta3QxpZKtqqFohS0RiiiErZqAMx1bmzdv5syZM3h4eHD77bfbzVt4+R07dqRHjx6YTCYWLlwIwKOPPkqzZs3Yv38/bdu2ZeLEiYwYMYLWrVsTGxurVlgs3K5Ro0ZRr149li1bxsCBA5k2bRrTp0/nhx9+UKddvHgxzZo146+//qJ58+bceuutTJw4kZYtW7Jnzx569OjBF198UabtVBgzZgwzZ84kNzeXESNGMGjQIO6880569uzJtGnTcHNz4+uvv6Zjx47lWm5VERoayl9//UWDBg147rnnCAsLY9iwYdx1112MHz+eVq1a0aJFi1L3Q1Xl2IKaKWwVdmzpdDpmzZql/vbvv//Sp08f1cEHxTu2hLBVc3Ca4wW5NPmk3ydxwy832Dk1BIKqwik5tk6flhP5FuBx4SJ6XR19NdPmPIEq+aiKqB+hDq+NWsuppFPUf7c+Y34agyRJdGkkpyyITK6ZH3QVQRG2+jTtA0BaXhrJOaW7E5zm2MrLg+uuo+XgiYSm1fEccf/9ZxsuqMpdVwlKsHVAe12ow0UBCos9UWUL5a2VFHZs1VBhq9Lk5xfZ1uDLzu9IqRFoc2wJx5YQtmoCxQlPFXFsKWGF48ePp0GDBqU6exTXljJf/fr12b59u/r76tWriYqK4oEHHmDHjh34+/vbza8sPzg4mNWrVzN8+HCOHz/OwoULmTt3Lps3b1anbdGiBfv372fGjBkEBASwYsUK1q1bR8uWLXn33XfZtm0bDRo0KNN2annjjTdYvXo1Y8aM4cSJE/z2229cvnyZW2+9lR07dqiJxmsKgwcP5tixY7z88suEhoayZ88elixZwsGDBwkODubVV1/lu+++K3EZVRGKWJuELYARI0awdOlSWrRo4XCe4sRMrbBVE7f1asJpOYoK+O3Ybyw/tZxcc27pEwsElcQp5+/hQiE+dfVDA+wdW1Al29rQqyGfjvoUgHVn17H70m6yTFlk5mei0+loHSAnrK8WYSszE06erNJVSJJkl2Pr1g638kCPBzBZS69y6DRha/Vq2LQJj5OR3HugDueIA3sRpC4LICYTgSm24+gXk+DCxlQxhYWtuuzYKoewFZcZx+rI1S7pKEzOSeZEwgliM2NLn9gR587JYcMaGtdVYUuEItohksfXABRxqLDwVBHH1sKFC1X3VeH5HAkgTz75ZJEwvaZNm7JgwQKHy58/fz5vvfUWV65csWs7wKBBg1i3bl2J7WvYsCFvv/02b79d9qpE5wvfiB0wevRoRo8ue16HTQWhH5VZb0liY0RERInjGzVqxOuvv87rr79eajtA3u/aPGJVGYpYE11MWgHKaLSFqt14442MGzeO77//nqVLl6pt79evX7Hng3Bs1Ry0oYiVRZtwPtecKxIi1yGUcDJHYaquZGjzoZx/8nzlHFaHDtn9+fOyN9ju+S9fjC2fe7lWUA2OLYCRLUcCcnGKMD85tUGfJrKbaUyrMay7ex3tAttVybpV8vKgc2f5Q3LuXKiiDjYJiQUTF5CQlUCwTzC/3Vr2/J0dgjrw6ahPCfQOrFwjNEWB2iTJji2lEnedQyuC1GUB5NIl3DSvsGGJdbgT8GoStsqxrd2/6c6VzCv8fPPP3N7p9ipumD2/Hv2VR1Y9wo3tbmTppKXlX4CDZ0twfLbs5HJ3TkdqjUEIW3YIYcvFKIncoWTHVnmSxxdevoKzXjIqmtReYI/VakWSJNzcyp/wuiqOqyL4mEymGvdS6sixpf37kUce4ZFHHinTsoSwVXNQSzo7IRTRoDfgpnPDIlmEY6sukJMDf/8NvXpxy97n2Ra9jZOPnqSBV/ldvVWFp8GTZvWbVW4hhRxbmccOsuxkQt0Utgo7tgoLXU7gRMIJTibKLqk8Sx7zDso5R/uGyvmnmvo1palfNVRJPnzY5o5YtqzKhC29Ts9tHW+r0LwtG7bkyWuckH9U87HcsiACMt+S75T7eo3jahG2CgkgzRMdF4aqExTuxL54UX7+eDkn91yNovC2JiRAWhoUisYBuJIpGxhWRq6sdmGr0u+GGmHLYjTgZjLjZpVkEb5dFXdqVDcix5YdIhTRxZQkUGj/Lk/yeC1a4clZzh5nCG5XOxaLhaNHj3Lo0CGysrLKPX9VhiKCfbL2moDSHr1eXyEhUIsQtmoOIT4hXNvsWjoFdXLK8pQkyEpS5DqH1Qr//ltUIKiLzJoFkybBoEGsPLyU+Kx4Vpxe4epWOZ9Cwlar5DoaypWdXTRJcxU4tv448Qc3/XYTANdF2KohK/mnqg0XCiCxmbEMnDeQLl914Y4/7sBitVTtCjXb2kojbNU5ClfPO3sWLFW8b11FYWdPfHyVFHuoERTeVpBD2eoa6emQ4iCBein3YW9D9bvfK+3m12xTZv+ett/r4ruTkmPLywt8fFzblhqAELZcTGnClvJbTXVsVVRwu9rJzMwkPz8fq9VKiqMHTSlUZSgi1LzcU0p7Cru1KoJ2GULYci0T201k09RNvDH0DacsTwlHrLOOrcWLYdgw6NEDCsLB6yxKWPvly9zn2Q+gTHmDqpP/Yv7jubXP8eOhHyu2gORk2R2goXWS7aW+KjFZTPx0+Cf+OfNPla8LcPzxVAXCVmpuKgDP9XuOd4a9A0CQdxDN/G3OupWnVzLz35lVW71P64w4e7ZIvhdnEZ0WzdITS9l/Ra7Qt/n8Zhp/1JjtMds5En+En4/+zMHYg46bmHqebdHbOJ963uH4MqMRBgJzoLUusMZdq06hsDBrMhW5fusKkqNUHHU1p5gjYasqxegjR2DKFFi5surW4QhH2wkO78OZ+Znq8OTOkyu+zjVr4LbbYMeOcs2mOrYqKmxp3MD+N99p+70qha0XXoBOnWDbtqpbhyMUx1ZwMNSgSBtXIYQtF1OaQKH8VlEBqSoEkIoktRfYYzabHQ6Xlaqsigg1T/BxprAlHFt1kE2bYNOmui9srV4t/5+dDVu2uLYtVYnFAidOqH/2SJav2ei0aFe1yCH7r+zno/8+Yvnp5RVbQOHE8UBoBrjlVN19SZIkFh5aSLsv23HXn3cx8deJ1XO9OAo7TE6GpCSnrkYRtvw9/dl9aTcgu7W0z8mFhxfy1ta32Hx+s6NFOAftR2ReHlyqmqpym85v4ubfbubF9S8CMLjZYA49dIj1d6+nY5BcQKW462bhoYUM+mEQ7257t3KNKPTBfHrsahp6NazcMmsi1S2AuBDJwbZaTlehKHDuHNx8M3z8cdWtwxFms2NxsiqP6/33w8KFsiM5I6Pq1lMY7THt3Nk27GBbr2TIHWc+7j4MiRhSsfXl5MDkybBkSblDsVXHVmVDEevXh379bL9XQfg7IIuVH3wAx47BSy9VzTocYTbbnqEiDBEQwpbLKS2kTBGRKurYqoqQterOsWUymcjJqVuhRRaNfb0iwlZVHNeaXC1QCFuCYtm2Da67Dq67jgEF32855rp1v1DRiD0cPeq6dlQ1Fy7IYT8FNL2YBtQ8YUsJt6pwVUStsKW5t4Um5ldZp9Hmdx+i+8gpDNwoJ/zONecSmVQNFQK1PeXaF3Anu7bS8uRzpb5nfcL8w7i+zfWMaDHCbpo2DdvIq67KyojVlJBaqYioJIDX6XR0Ce7CsBbD6BDUQW5KmmOnhlOqImZkFA1vEs4e53H5MqSmVu06HKCPLnqvzT1Zhc+cGTNg6VJ49lk4eLDq1lOYy5dt4aTaxNtVdVxjYmDXLnk4KwtWVGN4vdaFN3y4bdjBPdjPw4+3hr7Fs/2erfj6/vrLdu6eOlWue32lHFu5uTZ3ZevW5LYIt42rKsfWb5qiHTt2yHnLqoPERFDeFUTieEAIWy6nNOeN8ltNcmxVVyhifn4+Fy5c4PDhwxw7dowkJ/fsuhJnOrauplBEbUXEilKTBbyrjVc3vkrQB0G8sbkSoYgbNqiDC+vdRd7MPAaEDXBC62oYViucPGn7+9ixKl1dRl4Gfb/vy8v/vlyl63HI8eN2f+YePgAU/4HuKiodLqEVtkbYxJdWyWC2VkGy5uRk+r/+A53j4evVbvQN6ArAicQTpczoBLQ95WPH2oadLGwpjq36nvWZGGXk739DeLLhGLtpWge0lpuUVEW991BEBJn1/V18u+9bp6+msLClJdxf/qArThB2irDlQACpqy6mahe2tmyB0FCIiHC8n6sSB9tqjjzpYEInkJdnH5a3eHHVrMcR2u0cOtQ2XFXi7F9/2f+tFUSqmuK21VEFQZ9gHun9CGNbj+XAlQMVW9/ChfZ/K47zMlApx1ZUlE3sadOGjUn7uKyknqoKYUuSZFeagsUC69c7fz2OEBURiyCELRdT1lDEmuTYqo7k8UlJSRw5coSEhAR1H1UkF1VNpSY6tmqysKUkjxeOrbpFam4qidmJlQuF0ryouJ84jbube42q6Ok0LlyQrf0KVezY+vHwj+y+tJs3t75ZpetxyAl7oaVjgvx/VTm2ckw5vLj+xWJzERWH0xxbOh1MnKj+3CZZR3JOcsWWWRLff497rnwv9cqzMCkuCJArCVY5ynWq08EYjdBURcJWoMkIt94K338PDzxgN02bgGpwbBXKUeR14TIPrnjQ6atRhK0g76Ai45S8YsVdN0qRDS9DJaq/ORBAVq3+vOpEQ0mCt96C55+XBZHqxJGwVZXutK+/lrc3LQ3mydU9z6ee57m1z7H8VAXDn8uC1YpUIKSZQ5uoP+vOVNG2btoEmbacTvzyS5XlpCuC9pj26gV+fvJwVQmWf/5p//fq1dWXlF97T+rQQRZNodh78LqodfT9vi9P/fNU+dcVGwv/FMrfuGpVmWcf2nwoT1/zdMU6KbXb07o1Br2BU4run5DgOIF+ZThypKhgVg4Rr1IIYasIThG2XnjhBTXR+ZtvVs9LcF3J7VRWx5YzksfXlhxbKSkpnDt3rsiyK1I9sKaiFbMsFaiqU9EcWyUdL5FjS1DdKI6XCgsDYO9iqsvheYVcTJw5Yy90OZmkbJtDttqrTBba1hYp4GkCi9VSJc+cL/d+yXvb3+OHAz+Ua75KVW6yWGzna6tW0K2bOuqdZvcS7OPkl1STCT7/3O6n26O8WDBxAXd0vsO56yqMJNkcW+Hh0LWrbZyTc54owlbE9mO262PzZrscV60byo6ti+kXVdeScxuRWuRjtWUytA1o6/RVJWTLqm+Hc5nwww+g6ZS6teOtHHzwIN9P+N7hvNlmJzi2HIg9vjFx6nFwOsuWwcyZ8OGHRc7nKke7rUp15qoSQEwmOyHAsvgnnlz1BG0+b8NH/33E8+uer5r1AsTHoyt4N9rql0KSrwEA4/mYkuaqOMsLiXQxMeVONl5htMc0IgJatpSHz5+3u5acQnKyfC/SkpcHf//t3PUUh7KtOp0sarWW74MkJRURe04nnSYmXT7eFbqWFy8uKk5u2iTnBy0DN7a/kY9HfcyY1mNKn7gw2mdK69YY3YycCtCMd7bbXevWUlizxuYaq0q0wpbIsQU4QdjasWMHH330UbX1kBsM8g22rnyQljXHliRJFXqhr205ttLS0jh79qz6d0BAAPXq1QNk105NcxJVlMKhiOU9thUVLJXrRrmOtNTkED0hbNVN1FCuiiYItVrtesqsZyKZ+vOkqk0K7SoKuZiQpKK/ORG/fUdJeA82/gAx8dUcWlRI2HKT4MtWT3D2ybNV8q6hhDh6GcvnXKmUY0srTHbpIotbBeijzhYzUyVYurRIkuTGG/dwT+e71NC8KiMhwZZrpU0baN4clOeWkx1b7w9/nzlj5xCxsVD4jObjI8A7QE1ufia5Cs5tB2JPq2RIynF+OoXE7ESapMMND38qJ2h+6y11XIhPCF1DulLfs77DeZ0SiljMtlZZZc+lS23DixZVzTqKQ9nWBg1sAsiZM1XzAbt1q12eHrfIM2z763O12mR8Vrzz16mgcfbEB3oTGyK/g3vFJZVZmCgzklRU2AL4+Wfnrqc4tOdvs2a2+7DVWnwVwYqycqUtn9c119h+//VX566nOJTj2rSpnNNR88wpLNDO2jSLZ9fK+bXSciuQL2rBAtvwddfJ/+flwcaN5V9WefnvP9twp04Y9UYOhWjGOzOHmyTZwkl1OujZUx6+dKl6OlrjNfcB4dgCKilsZWdnM3XqVBo3bswNN9zgrDaViMFgoF69eiQnJ1fI6VLTKE2gqGw+q9qUY8tqtdo5tQICAoiIiMDX11edpq64trTnriRJ5RYIKyJYWiwWkpOTqVevnkNhqyaHIjpT2Ko2Z9r583KPax24T1UVijBQ4RxFly7ZvWjrrRKHN/3m9DCYGuEQLuzYgqp7cZIkxn+2hsAcGHIBGm3aUzXrKWbdjra1fVzVhaYcS5B7cDs16lSu+SolzGqdhp06ydWbAgviJZws9gDwySfqYHKjgmdqbCzsqYZjq+1Bb9tW/qiKiJD/jox0qjBwY/sbebjTVDzX/ms/olAuG8W1VSUhc8WIPcnZSVgl557HidmJ3HgCDLkFz+x588ocxqUIW+UVdO3QbmuBY6BxJpgyUiu+zOIwm+1zMR065Pi+WBVYLDZhWCuA5OTAlSvOX58Dseee4wZ+vPFHQBYbLNYqerfQHNOkoHokNqlvG3fWyaL7gQO2/TpoEHjKlY1ZskR2rVU1xQlb4PwwU20Y4nvvQZOCMM9//qn6AgFZWXIHA8jbCXIng0KhTrIrmbZzutyOrUOHbGH211wDTz5pG1fGcMQrGVeISYspv6PWarW54ho2hE6dMOgNHNAKWwcqmDPMEYcP255vgwfDPffYxlVHOKIIRSxC0a/bcjBjxgwiIyNZuXIlv1VjArzAwEBiYmI4d+4c/v7+eHl54ebmVqPyqlitVvLz88nNzS1RUNJ+WFssFnJz7XPNaD+ocnJycFPsz2VEuzyz2Vxk+RXBpHnYmEwmpywT5H2hOJm8vb0JCQkhLy/PLmF4WloaXl6VeAmrIZgKPbCzsrLKJdpohbG8vLxizzFJkrBYLOTk5JCWlobVaqVx48YOp62pwpYkSVWWPL7KhK30dLnEcGysnOfll19sDoXqQJLgxRflB+5XX0FISOnzuIBKl3Q+WTSZbed4KpezywEDfxjIjpgddAjqwO7pu6nnXs+pyy8TjtxZVSVsrVhBiwu2UKr6G7bBneUr111hLl605Vvx8lJdTUplRGcjSRJHE+T9qNfp2XB2A8NaDCvTvDMHz+ShXg+p7p9ycfmybTi8oGpTq1ZylaOLF3l77cu8NLISRRW07NmjVuI6GAxHJ/Xkrs82ARC98HP+1u3l1o630qheFYUyaPOPKB9TbdrIH8kZGfLLuTPvUevWFXWW/PefnIC7YF9/N/476rnXUxOsO5VC+bUAfEwQlCGRmptasfOlGN4b/h7dF/4fUHAvvHhRDuMaOBCAz3d9zqmkU/zfgP8jzD/Mbt77ut/H4PDB9Gjco+IN0AoDQ4aoAqLh7AUon05cOtu3F82P8/PP8IaTrpOSuHxZFtZAFgYUcQBkAUQRKZyB1sVkMMhOEJOJByP90be/hS92f0FDr4bkmnOr5lmkOaapwf6YfBvA5oLfzpyRhXhnoU2mfued8sf577/LIsyGDTB6tPPW5QjlWvX2hoAAe2ErMtJ568/OlsPTQBaABwyQ3w1nz5ZDHn//HaZPd866HKEtPqB0KmiP45EjdpNfzrA9n9Lz0rFKVvS6Mr7DapPG33OPnKjeaLSF10qSfE6XwL3L72XNmTX8cMMPTO02tWzrBVloUu4R114Lej1GNyOHg8Gik93fThW2tG67226Ti8AoQt7q1fDCC85blyNEKGIRKixsbdq0ic8//5x77rmHsWPHVquw5e3tTfPmzYmPjyclJYXExMRqW3dZkSSJnJwcvLy8ShTccnJy1PabTCZyCuVMiY+PV387d+5cuYWtzMxMtZqg1WolIyOjXPM7wmQyqW3OyclxmjiQl5enLtfX11fdbxaLRf09MzOzyD6qjcTGxtqJU0ajsVzCVmxsrCr2XCiDXdrNzQ1vb28aNWpU7Hpqao4t7X6qNaGIa9bIohbIPY8dOsCsWVWzLkf89x+8/7483LEjlJD7cFXkKrwMXlzX/LqKr+/0aflFtH//Ul9YtFS6qpyDCjed4iHHXPQeIUkSPx35ic6NOtM1pGuR8SWhuDqOJxxn16VdDG0+tJQ5nIzWxeTjYxN+qqIyoiQVPV9WrZJ7QqtDnNU4MKQxY9AVhB6lHfiPIfOHcHeXu7mvx31OW12yKVntkb5z6Z1E1I/g7BNlC3lsVK9RxcUgrctD6Wxo3Rp27gTg6H9/gbOErV9+UQe/6AMDx4yGzzeDJJH/5+881ugnmjdoztjWY0tYSCXQ5svp3Fn+v3Vr24feqVNOEbay8rNYd3Yd1/z4DerS+ve3rX/JEnhWDq/pHNy50usrFs0z2dShHcbjsujUMkV2WBUWtjaf30xmfibj2owr96omhFwL+wuFU/78sypsfb3va44nHOeGtjcUEbZu63hbuddXBGVbg4PlD+WCbwGPqsjHVLiiHMjb+vrr5XruVIiSnD1nzshuI2dx7BicOycPDxkiu5hWrMAzLgl27GLn9J3OW5cjNNuaHtKA4a0egvlb5B+cnVNM60y7/noICpJFHpALP1SlsCVJNsGnWTP5HGqtCct2Zqj/mjW20PPx4+UcbXfeKQtbAB99JIcSV9UzViu2K8JWly6237QVepEdUwoSEul56cWGNNthNsNPP8nD7u4waRL4+srXx7//yu04cUJ+Jy6BCuev3LTJNlwQAmnQG8hxh6ggN9rEF+S2zM+X21cZrFZbBU83N7j5ZllcatFC7rTZtk3uqFKc2FWBNr2AM8X1WkyFhK3MzEzuvfdegoOD+fTTT53cpLLh7u5OaGgokiRhMpmqrDpfRTGZTGzZsoXBgweX6DLZuHEjDz/8MABPPfUUDz30kN342bNns6bg5e/ff/+lSTlP3J9//pnXXnsNgHfeeYcbb7yxXPM7IiUlhQkTJgAwePBgvv3WOSWst23bpm7/ww8/zJMa++r06dOJjY2lXr167Nmzx2lhla5i4sSJdqLK3Llz6d+/P3/88QcWi4XbbrutxA+rp556ilOnTuHu7s7hQg+kwuj1eoxGY6kfalrBx1kuPGegdY/VGmGrcDLQ116TH+S3OeFDoizs3WsbLiFU40rGFcYtlj+mLK9Yyt4jp+XsWTkZdG6u/AE9aVKZZ23VoBU9G/eseKJsB46tTvGwy4F9ff+V/dz9590Y9AZML5c9xCE9L12tPKa3gvTWW9D+ADzzTNV/TClcuWJLRj1okPyhnpZWNY6t9eth92773+LiYN8+6N3b+esrjOZ8tY4ehWXlctzzzDS6kMTmC2foEtylhJnLT3Su/GET5hdGbGYs51PPE5USRauGrUqZs5I4ErY0H8vGs+edsx5JUj8UTXr4owNMad9fdpTu2EGrK3m0TJIrI1aZsKXkVfHwsOWW0X7YHD8u965Xkui0aG5ZfCPxqwquSx8fubKc8gH366+qsFWlaISBhH5daFIgbLVJ0RUJ67FKVoYsGALA5Wcu09jXsaO6WFavtjmJFJYskT+YDQbC/cM5nnC8aiqK5ufbzuNCYo/ThS2ti8nNDXr0kJ2IUVHy/336OHd9hSksbCk5tqBKxZ6zAzsR3qoHhhUr5B9++skp10qJaLY1u0lQUReTszh3zpbvqFcvOffTuHGyyB0bK+dTO33aPmTOmcTHy+8tYHPgdexoG+/MjiNN54L6Hti7txy+tmWL/C6zbBncdJPz1qlF+67UvLn8f+PGskstKclO2MrMzyQj394EkZabVjZha+1am4to/Hg5HBBk0fLfgvDwhQvh3XdLXEyFw/y1wtaQIQAEegcyvft0sjpuh/gTsnPs+HG7gi0VYscO27UyYoQtFPCGG+TQf7NZFt0/+6xy6ykJRbD095fTGQgqJmw999xznDt3jj///JMGDRo4u03lQqfTOeVj19m4ublhNpvx9PQsUdjKzs5WHTcmkwlPJb68gKysLHW8xWJRx+fl5REVFUX79u1LFCzS0tLsHD2Fl18RgoODiYmJwWq1cvz4cacsEyA5OVltq8FgsFtu06ZN2VUQSnH+/Hk6lKL212RycnI4XagSVEJCAjt27ODuu+8G5PNCETwdER0dzYULF/Dz83Pa/q+vuSmmVnW8fzmoSmGrSkIutXlAdDpb/ph775V7kIKKlmV3Olqxs4ScGOdTz6vDGXkZ+Hv6l39dP/9sezn87rtyCVufjP6k9IlKQuvY8vCAvDw6x8HqnOQikxr08uOuvGFAUcm2PBtP7YRha/8F/pVfYu66q0LNLjdacbJ9e1nk2r5d7m1OT7eVKHcGGrfWqV7Nabu3wDmwcmW1C1tuXbvh1qEzHDhA0JU03M04/QP9Qu4FkGCSuR3HA8JZlbCddVHryiRsLT6ymNNJpxnfZjw9m/Qs34odCVttbVXzml7MID0vHT+PSh7bvXtVV8L6FpDqBR0bdZRfvgucTLceh5OJRUVip3D+vM190q+fLYdOFXxApuamMvgCNMwuuOeOHSs7xLp1kz+g9+yx+1BecHABX+/7mi/GfFH+41cSyjuXXs+pjiEo3ZHzOryErqm9AJOeZwv5jc+KL5ewlZyTTOaPX6IGU4aHy8c6IUH+iBw5kmb+8ge7o+tm/5X9uOncaBPQpmJ5tmJibM+3QsKWT0xcMTNVkBMnbDmPBg+W771Kfriff65+YauExNuVRuNMG5ryKb3zx7CkXj05T9KiRXKBgKAgJEmqmhQsBdua5waWRkH2wpIzc5ppw7gUQcfDA556Sk6lIEly9UsndZ4XQftupAhbDRvK9+MrV+T7UhnC5kolI8PW2RkUJIfmKcyYIQtbAO+8AzfeWDUdZvv324a7d5f/1+lk0X/jRllITEiAoCDVreXj7sP/Bv0Po96Ir4evg4U6oHAYosKdd8L//Z8sKv3wgyz4lPA+XyHHltVq25cBAeozpolvE76b8B2c/hA2FlQTPXCg8sKWtnjFnXfahp97Dr75Rg4//eoreOyxqhFnrVb5Hgz2odFXOeUWttauXcs333zD7bffzsSJEyu00ry8PDunRHpBT7TJZCqSe6i2omxHaduTrckDYTAYikyv/ZDPyMhQ3Wn9+vXjwIEDvPnmm7xQQgxvacuvKEFBQcTFxREXF+e0ZSYn2z5GfXx87Jbbs2dPlhaEpPz333+01tqFaxnx2ioWmt+iNTHw7777LlOmTClWFFWuHw8PD6ftf22S/sTExBpzLWoLBjjjHNa6/XJzc8u8vLJe07qtWzEUxPhbb7oJ3N3R//wzZGVhmTMH60svVbDlZcft0CG1MogUFYU5P9/hy1Jshhwu6evui4euYueS259/2ta1aRPmy5erR7wDDCdPogOkhg2R2rdHv307oRmQGRtTZFvqGeRcJGm5aeXaztOJsghd360eT+60nYvW77/HUg4RrzLojx5FCUI3t22LLiMDt+3b5b8PHULSVliqDKdOYSx4MTwZAOOHXCaywPxn/ftvLP/7n3PWUwJux46p55OpVSvc2rVDf+AAeouVNkmyGOuse5PJZMLXzZfv9jZh+sp1xLYKIWwyrDmzhundSs93svjIYlZGrqRxvcZ0CSqfk8xw+bJ87ur1mP395Rf+tm1R7vid4+FUwim6BXcr93Zp0f/6q3ru/N4Bmvg0wdfgi+nGGzH+3/8BcPchuD/+WJXc83Xr16svmpZrr8WqrKNNG3VbrUeOYHHCupOykrhV891tHj8eyWRCP2kSbgXOEMvs2VgLIg1WR65m58WdzN0/t9zHryQM58/Lx7ZpUw7Vz0MJ8pYiIzEX2s74DNv7QEZuRrmOweEL++i2YZu87Pr1sbz9NoYCsd26eDGW666jqU9TwPF1M2bRGOKz49k3fR+dG5U/NFN39qzt2IaFYW3WTD2mLZIkp55P+j//VM9jy/XXYx0/HoO7O7r8fKSffsL82mvg5VXm53S513/unO0e3KQJUtOmGNzc0FksSKdOFTmuFebCBYwFjtmzYb5caJDBw62uxXJfa9w++wxycljy0GCm9Yzhm3HfcFsHJ7vAJQnDhQvogIzg+lzXfBgbE/fTtoGBJilmpKNHi32fKC+GX35BWYrppptsyeLvuw/D22+jS09HWrAA88yZNvHfiej37bOdU+3bq/cmt44d0V+5AklJmC5erHSYtG7pUgwFnX+Wm2/GKkm2bR06FEO3bugOHoS9ezH/8w/SsLLleCwPhv375XuSwYC5TRt1/fpOnXArcNSaDxxAuu46olPkb5HGPo15tq/N4VrqNZWaimHZMnk9gYGYhw2zbWeDBrhNmID+jz8gPh7z0qVIN99c7KKUPKluuNlpAyW24eBBjMq796BBchoTTSoTXefOtvvVvn1YK9MxmZ+P4bff5G319sY8bpxtW4OC0D/zDG5vvglmM9bnn8eihNc6k0uXMBas0xoe7pRnaE2lPPfzcglbaWlp3HfffQQFBfH555+Xu2EK77zzjhoep2Xt2rV4e1ei7HANZN26dSWO36OpSHT69GlWFaoYEavk6UEORYyJiSEuLo4DBcnvFi5cSKcSEjke1YSqHD582GnuNsUlFBsby8qVK53Sa7Rzpy1vwNmzZ+32hTbU9PfffyewKmOWqxitgKWwc+dOu/xn0dHRvPTSS1ynlMktRFpBGWir1VrknKkoUZoKMLt373bacpOTk5k1axYGg4GZM2fSsGH5HDPaHHpJSUmVbpf2XIqNjS338kq7pjv+8ANKX+6BsDCS27dn+K+/orNaMc2ezdqOHZGckAS/WCwWxh0+rIoDusxM1v/8M/kObMprE9cC0M6zHf+s+afcq/JMTGTUvn3q3zqLhaNvv030iBEVaXm5cMvJ4fqC/AIpQUGk+fpSYLBH2nuEVQ3tj2u6We5AybPksWzFMtz1ZbsXroqTl/NkZCjh6TaHmH7zZtb/8AM51VCJpss//6jbtiMlhfqShPIZfvSXX7iQbO9Qy7Zk80vsLwxuMJhW3mUPqWv788+0Kxj+tif4N+nE/pB99IgF/f79rF20iLxyXr/lQpIYc+QI7kB2YCB/bFxJeymXXgWjOyTA6sSzTrs3AYzyvIZRG74DIORMLGMjYb1xPX+v/Bs3Xck5LS/FXgLgxNETrLpcvjaNOn8eTyDP359//pGvPZ3ZzPUGA3qzmc5x8OOG37lc/3LJCyoJSWL4okXUAyx6HX+1lQjXBav7b0CHDgQeP06HRNDvP8SqIOftV4UeixahZHba4eFBcsG6TVYTw/w8aZCei+ngQdY44ZhuT9jECwXmL7O7O2sMBiyrVmEMDWWkhweGvDykuXNZ178/Jh8f2ue1B2DhwYVcZ7quzPeEknDLzeX6gmdWso8PK1OO8wRyCfK0/fvZUmg7z2bbXCOXD1xm1aGy74fY7T8xpKCP+GKXLhw0Ghnt5YUxJwfLkiX8M3o0KTnyh96BsweKXDfpufI9cff23cR4lD90MGzDBpS088cyMjj333+M8fHBPTOT3CNHWOfE63TwggUo8SH/+viQvWMHPfv2JXTrVnQJCRx/4QXOjxmjTl/ac7q8XLN/P8qdft3p0+THxzM0JATfS5ewnjjBqr//lkMkK0mrP/9E8TIubC13THtc8mB9586McHNDb7Ewak0ktLWwde9WfM77VHqdWtzT0hhT8C4qBYZjjDKyM3MnuQFmmqSALjWVf3/6idxKPgfqXbrE8EOHAEhp3ZotJ0/ahct1GDaM1n/+iS4/n/NPPcXxKVMqtT5HdF2+nIiC4R05Oeq9qZOXF0qg6e4ffiCxqy0n59cxXxOZHcmkkEn08S+bS7DvF1+oOf92hIWp61FoMnw4vQuE9+QXX+Q/B9/HlcEtL49xBfs2LSyMzRs2qOPCJYkC/xYnfv2Vszk5xOXFcWfjO/ExubFp7lyyyygqhq9bR/eCTvez11zD0fXr7cYHdelC/z/+ACD5vff4r4RCYCnp8n1r/5795J2wGWFKuq5bLF+OIs8fDQzkXMF+tkpWsi3ZGDLSUboiU//9l22a4+AfFYVncjJxPXuWKc9ZyK5d9C0Q0S726sV+xSlWgFunTgxv0ADPlBT0y5ez44MPSNK6lJ1AwxMnUDL7nZckjjjxflvTyC5cDKYEyiVsPfXUU1y8eJFff/21UsLCjBkzeOaZZ9S/09PTCQsLY+TIkfg5M6TChZhMJtatW8eIESNKDEW8rKmM1LNnT8aOtc9xsWXLFvVlpFevXgwYMMDuwk5LSysyj5YdmqStAwcOZKjWAlsJPvvsMy5cuIDZbGbgwIH4+1cghKkQ//33nzp83XXXMUzTazFw4EBeeeUVJEkiPj6+xG2u6Wzbtq3Ib4GBgUXyWq1Zs4b33nvPYT4x5Td/f3+n7YuAgADeKKguFBgY6LTlzpkzRxXzli1bxu/l7Lk4p4SxAOHh4U5pl8FgwGw24+3tXebllfWatjwj54aT3Nzo8uKL0LAh0urV6JYtwzMlhbGZmUha27KzOX0aQ6EQyxEtWyL17Vtk0l2bd8FF6NGqB2NHl3+/6r/+ushvXSMj6fRJ2UIMRywawYW0CyyauIg+Tcv2kqiiqWxT/5pr8O/ZU01G/W27J+QwJA3dv+uuDl8z5BpCfMrWC7ti1Qq4DNN3phcZN+zyZazTppWv3RXA7eOP1eF+06ahO3RITqwLdHZzo2OhbX1u3XMsT1jO8oTl5L9UxnBbScLwvGzTt+rg107wSI8bWdV2Pz1i5XCj4SYTUlXeey9dwliQGN+zRw8uNbrE7/yJEpjTMR5+s2QwePhgfNwr/0FnMpk489RTam86wIOHjSxvl01wt+BSz8lPFn0CGdC7R2/GdijHfrFYMBR0TnhERNjdg3Tt28ORI7RNgoahPowdXIn9feAAxoJ8Jwl9OtKxfUOGNBvC2EHyMnVXrkBByPtNB7Lp/XZvguo50W0pSRgefVQe9PbmmieeAHd3TBYTY38ei39gLiPSwSM9nbG9elW6qpP+i38ILMjPrJ8wgVEaR4Buxw746isMeXmMio7G+txzjLKOYt6ceUSnR5PXPI+JHSdWav2AXcLpBt27k+l3lmh/iEgDw5ULxDaJ5d5utgqjG89vhNPQPrA9N15fvhyohxe+pw43fuABQm68EbdVq2DBAozZ2Yy5fJl6N4znk0WfkG3MtjvPJEnCdEjuBR8zfAxNfMufeFiv6dToMHo07ceOxa1DB9i9G+/ERMYOHiznOass585hLMjtJHXtyhDlntu4MRQ817qsXUuHTz7BJEllek6XF8OLL8rr9/Ji+OTJoNPh1rs3XLqEW34+Y9u1s088XkHcXn9dHf6po4XgesE8fNPDcv7LzZth0SL8si3cvx8ajmzK2AHOvR/rNGJEwyFDGDt2LBEJEayd8xJjCiIuhwUHI1Wy80r/1lvqsN/06UXfw7p3R1q5El1+Pq02bCBiwQJbGLOTcCt435V0Oq558EH1XNXFxamhg9f4+GDVtO3dBe8SlRRF526dGdu+DPs+ORlDgWglhYZyzbPPFhVORo1C+uMPdOfOEXTkCGP79QMnpvnR7d6NrqBD12/wYPvnTXAwfPEFAB0tFtoVjJtmugtD797oji8k6vVnMDz6RKn3CDfNe1/4zJmE9yhUbXX0aKQFC9CdPUujgwcZ2769Ld9XIQxnDZAHQwYOoXeT3mV6/3YreCcCaP/II7QvMH3EZcYR9lkYOnTcFh6OLjqahjExjB09Wj4WJ09iuO02dPn5mOfORSpICVPitv74ozrc+NlnGasR1RV0aWnw4IMA9N+xA0vB+5Wz0KXZKkU3GzyYsFr8XVwaSmRfWSiXsPXnn39iMBiYM2cOc+bMsRt3skANnjt3LuvXryckJIRftMnyNHh4eNjluVEwGo1OfRDVBErbJrMm6aeXl1eRab00irbZbMZoNNp96CuhgMU53bTL9/Hxcdr+Dda4FFJSUpzioMpUKn0hCyvatgYEBNChQweOHTumJkuvreeKo8qUKSkpXLp0ye63U6dOsXLlSm5ykExSG4rorP0QpAkfS0tLc9pytaGXy5cvZ+XKleUKY5aUHB5Qas66suLu7o7ZbCY/P7/cyyvpmo7ZvZ6ws3J+Ct2AARiV6+TZZ+XEoIDh889hypSqSzzuoJKP4cIFtUqWltgs2RH67f5veazvY3RqVM4y3kpCW0Dy8UGXmYn+33/RZ2TYkoaWQExGDOfTzqNz05X/uGochvoOHezyJRhPnpLLSxdglaycSbblQcmyZJV5fS0atuCBnA6EnpZjnM40gBapoJfA7aefcHv11apNIi9JtmMaEoKxUSNbjgzAbf9+3Apty3+XbJ0EZd6v+/eriYEPtvblsl8G7Ru1Z2H3YNgsnyeGpUvhgQcqsTGloOn11PfsSVxWHMc0Okv3JCNg4kr2FTrUq3yexTxTLhGr7Xs5R54yE5QJ/13+jwERA0qcP98qi4be7t7lO3+TkuT8GICuSRP7eTt3hiNHMFrBM+o8xmGVuN8V3HMAQqY+xuZpD9qPnzRJLk2en8/kI3A66SRN6juxslJkJBQ813QDBmCsVw+L1cL9f9/P5ujN3BzsxoizcqiI8fRpOXl0JWj+j831rb/zTvTa/fr003IieUnC7csvcXvuOYwenkztNpXXt7zOj0d/5K5uTsiZp+ms1DdvTlO/PGIaeRCRlodvlomTp7Zh7G07DmH1w3iy75MEegeW7xyyWGi1SXa8mI1uGK6/Xr7nPfccLFgAgNvs2bS4W3ZnxKTH4GZwUwuE5FvysUjyvvf39q/Yc1VTkcvQsiUYjRwPcUO5Mo2Rkc7JffXnn+qg7vbbbW3t0wfz8GEY1m9Ad+4cbsv+hFtuldftzO+J/Hz1eaNr0QKjEvnQubN6jRlPnSq10lupnDmj5kK61CqYMwFx3NliOB7uBd9LL76o5vV55j/4IivZ+e/BR46og0ltQ/HBRLBfsN192HDyZJGOo3KzZIk66DZ5cpFnGOHhcpL1RYvQpafL4ZnODNEzmdTiK7rWrTFqhSRNtUC3kyft2hadLnfStgxoWbZ9//ffanEH3aRJGAu+fa2S1Vasx2iEiRPhk0/QWa0YN2+GW2+txMYVQpNzVd+rl/19sUsXWdyxWtEfPWobt327mk/t/A8fc2xkM57o+0Tx6zCZ1Iq+tGiBsU8fx+9F998v5xUDjPPnw9tvO1zc3V3vJj4rntD6oXb7udjrev16OXE9QGAgxq5dVQHRy0P+jpaQ5PfE6Gh0mZkYo6NlMfrHH+VrHDDs3Cnnwy2JvDxbHt2gIAxjxti9b6rcdx+88QZcvIh+zRr0CQnOrVyo+WZ0a9FCPU/3Xt7LhdQL9A3tS6hfqPPW50LKc58rdwkss9nM5s2bi/yLK+gVPH/+PJs3b7YLKxMUjzZ5tSOxT5sYXHH0FE48rk0OXxhtLjNHy68oWmHLUc6oiqBNWO7IAdamIPme2WzmijbxbhVjtVqdWj0vuVDYEMghdhcLXhK1YZ3PP/+8w21V2uPMwgnaEEFHbawohc+Pxx57rFzqu7OTx4PtWnB2VcTEX39Qh1OGa4SkAQOgZ0Fy4v375TLAVUWBvd8OjQikZXiL4YD8wD8U62C+kkhNVavcxAd5M7dnwePEbLYv4V0C+Rb52Ja7pDPYV/lp29Y+GbXm5RwgJi1GrbIDcp6tsjJj0Ay+OdNO/Tvw3c/QDy14wT5zRk3AXWWcPCkndQW5+iTI5aOVqlx798ovWhrc9LaQmIy8okK6Q5Sy1cCiTrKY3LJBS1I6teJc/YIRa9faJ1F2NqtX24bHjOFy5mXONQCTh/xS0zVeR2OfxkUqy1WUvb9+hN9F+w4Fg0Vii/F+HuhZuoCnnr/lrdzkKHG8QmdbrqMn6xVyWEuSXMmrrBQ4GNHp5KTEhWnQQK5cBYRkQZ/jZb8vlwmlChaoCZM//u9jFh9ZjEFvYPAYTRXoylb4zMmh9RY5DjGnnjsU7kFv3VrdVi5dUj+sp3abCsC6qHVcSrc/FypEoSTjv9/2O4NG2vK11Ttjf/20D2rPDW1vQIeO9WftQ3dKZNs2/JPl8IyYfh3lqlgAnTrJleUAoqMJW72DAw8eIPbZWHTY3i2yNZVjvY0VTAGi6WRVkhcfb6T5mHVWVTltknFNZeE/jv/BmKYb1b/P/N/9SFVRIf34cVv+HE0Hyh96TfESZ2zrb7/Zlt1F9h2MbDnSNr5jR/UcDkuHoH1FO7EqjcYJPfzIC/x54k8aeDbgqNZMWdltPXrUloS+f38IC3M8nVY8U0QLZ3HqlO25qekoyjZlExWiuZ9r7kv5lnwuZ8jC9Xf7vyvbejSFALj9dgBWnF6B7zu+fL5Lk9JHe7/SPgedgeaYarcVAG9vm9Pw2DEwmzkSd4T4pbbE6M1TyvDOdOSIbX/261d8Z9/UqbaQ3YKwREe8OfRNvh3/LeH+4cVOo7Jjh1wMRflWmDbNzhVndLOJIpZumlyKBw7IObh++sn2m1JlsCT277cVTBo92rGoBfJ2Tp1asGKL2uHgNLTPmogIdXDJsSXcsuQWPttVhdUYazDlErZSU1ORJMnhvykF8c9vvPEGkiRxviwnh8Duw9rRR7sjYSuyULndkvZ1VQlbjTQhA1UhbNV3kA+oqaY3t7C7qaqIi4ujefPmNG3atIigWFFSCuKyC69HEbB69uxJn4JezrNnzzJixAiSkpLUaSVJUsUeZx5T7T531MaKUvj8uHTpEq9r7PalUZuErdb7bC/66ztobPM6nVzpR0H7IHU22oqICsUIW3d0voOb28vhOml5ZRd7ALsy8z+3yGZeS81HcQkvLFrUyjflFQbAXthq104O+SwQCdIO7SYr35boPTLZds/0NHiSZbKNK5W4ONvLaePG1J/6oOy4U5g/v/xtLw/al9yRmo+cAQVuorw8+xdXIDFbzvFT37N+kbLdDrFa1Y9HyWBgQSvZPduiQQvCG0YwV3kXliSYN69Cm1EqFgsU5JrC3x/69eNKxhWseshoJX/4hCWauPzwGUL9Qnl05aMM/mEwg38YzNifxnIsvvwfW0ELbK4BZs1SB9st34Gfe+lVoBSx1N2tnPelMgpbdgKtJMnHPzgYypLjNC9P/SiTOnTAEhjgeDpNAl3PX52c4HajTXSgIF/k5gubAXjjujfoOuwO2/jKfiyvXIlHjvysSBs7XK6uVhhNCgzlI6N5g+Z0DOqIhMSxBCeIE9r3MaVSleaYNowqmjNtVeQqZm6cyZoza8q+Ho3Yk3bDKPtxBUUBAPQffki34K408Gpg12mWY5JjNvU6PUZ9BVw/kmTrRAkJUUvNJzTX5BysrFgJsutPub/17g0tWqijlp9ezvoIK3sKTBBtYrJJ/udPBwupJA6Egf1X9vNKgk2IcoqwpTmmn4TJ77gjWhQK+bvDds202Ft8xeMKU7CteQYdJ4LkyngeBg+im3ijSoaVPa4FhaCAkqsoax1aTs6ZVpzYs/PiTlot6MEFpW9dqYwIdsL3zotlMG9IEigpVgIDoWdPUnNTuf/v+8k2ZfPrMY1gO2gQKBE6a9bYqo06A6Uiok5n6xzTojjUcnPhzBmeWPMEF5fMVUeHp0F6Vimd3QVV64GSXZohIbLwBXKF2spqBVFRsgCq5GC68cYiLjClIjaAqYsmKmHbNrnzReOyLVPHXUHhHsD2HlYcWvfX3LnOPa6OnjXAeyPeI/bZWJ7p90zRea4Cyu3YEjiX0hxb2t+Uj/DCAos2NLEw2rxNtUnYcuTYcoWwNW/ePKKjo0lKSip3bqjicCQanThxQg25Cw8P5/fff6dZwY3q2LFjjBo1Sj2W2uoQzjymRqMRn4IcA1Xl2FKEqRWaELbS0F4jzrLdK/stv1AuqkqRm4vPLvllKdoPfrfau4aYONHWU6V9MDobRdjSJuY8W/wLsL+HfK2Vx8UE2PVELmsHO0Phsl/Bh9M//5TJWaIIAxVybCkfEgaD7WOnwNXpn55H0mVb6OHpJPmeObrVaHL+l8PQ5mXLNWi2mrEsWmirrDN1qlyi+qabbLljfvzRXqhwNms0H7vaXt3+/W3Dhc6n0S1HM7T5UI4/crxsuXO2bVPDitKHXEOyNwR5B+Hr4cukjpMIe/JlJKUHdN48u0pDTmPXLlDujSNGgMGg9o6bOrQFQCdJJO3dStsv2jJn7xy2Rm9la/RWVp9Zzff7vy9uyY6Ji6PtNtnxkNXARw7zUfbpsWOyE64UKuw4rIiwdeKEHG4B9iXVi+PoUdVlkt25HcY3jDT+qLFdaDcgn1NKp8bq1WqIZKXZvt0WQubrqzpWYzPlsNaOQR158Oxs2/SFhIGj8UdZfGRx0fYWhyb1Rcj9TzmeZvBgCC0Izdi8Wf0YGtZ8GBPaTsC3DGJmqWgEd0nJH6Mp8NPkgv2zNSErQa0ApiR6LxWzWe08yDGAx8Rb7McPHGj7eDxyxP4eUoDi2PI2eles+E90tO161QgDyS0057OTxZ7CIsjJxJOgA+sTj6u/BWysgmgRrQjSrRtmq5kH/n6AyIaQr3xFVVbsOXlSfXZLffvwy3M7+WLMFzT2LXR/GD4cqeB4dT7k5OdOZqYsNgBnmnhgdkPNZejpH8A5JVrv2LHK3Se0LmfFRekIbdj9gQPlc6uWRjHC1okE+Zmghl6mp6shXxfSLnDtOfj+LwiJtBX2KpbISDnsHOCaa0CnY8b6Geo98FDcIaxSwX709FTFf65ccdxBWRFMJttzpE0bxznvNKGXHD5M3qVoemg2zyCB/mIp31wFlTwBzL16cCXjinpfK8IojRCvdGYVIjYzlpScFNv+KY433gAl19TIkfDzz/I7oQatsJXfu4ftPfyrr+DVV+2Xd+FC6ed2eYSt5s1tAm1UlPzccRaKCOflJQunGoJ9gsucR7auIYQtF1Nex1Z+fn4Rh1ZZHVueTky8WBXCllLpz9vb2+G+cIWwtVTTsxQTU/6qQY5wJBrl5OSow6GhoYSFhbFhwwYaF3z07Nu3T81ZV9o5UxmUcMSqcGwFBATQsiB8KiYmpswfLFohr0Y7tnbsUO3J61vA+nMbsFg1AoCPjy2M4dgx20eBM0lLs/XidO8uuzvAoWPLZDFxIuGEmuehXOFdeXlQUNQi18+breEg6W0hbJhMsuBT2mIq6tiKjbV9NHXtqlrBdW3bqpNkHbW9uEYmyY6tjkHlq0qzIWo9J95/wfbDlCm8tuk1xi+/nSt3TizYiDx4//3ytb+sZGXZXoTCw2VnmoJW2CoUDvn52M/ZcM+Goh9FxaGppmO8425WTF7B52NkV9D1ba7nwRteR6eEN1286PBDudJonWljxyJJElcy5Q83ty7d1FEBZ69wQ9sbGNp8KD/d9JMaSpaQnVC+9S1ejMEin6+XbxklO3w0hQAOP3s3y0+VHFK7bNIydk3fRdcQB73gJVGSsBUWpoaVxe7cwLmUgo4rbYWpEjqzVJReeiC5Q4ScXwSKihgeHrYPquRkzmwsm9uyRM6fl3vOlY6Dhx5SPzbisuS0FSE+ISR7WIlR6gVpnBEAnb/qzJ1L72Td2TI4NSwW2znZqJFtewqj09nCm/LyVEfZ7DGz+ev2v+gX1q88W+kYZb/7+vJx3DJCPw7lvRRbR06zi5l2k7+66VW+2CMnb07JLeMzYfNm9SP/0qCuhIcWuq/pdKBJVBzz/cc8tuox/jxhczP5e/rz2pDXeKH/C1SIYoQBc3AQKcqrprOFLU0YoiRJqghRf+LtauiTYcO/OJ1C2/rF7i/Yd2UfJgOca1Tw0XzqlC1csSJo7qm62ybRN7Qvj/Z5tOh0gYFkdZI7cFpHZ8qOYmdx+LB6DR5pIm+XImxF1I/gYnhBh3NWlixsVgSr1ebuCQ62C6FyiNalvL4cobqlUcz5ezJRFqbtQi8LRMuL8Wf44ze47wC89nti6e+wmoJY9OvH9ujtfL1PLrjjpnMjMz+TqGTNu9no0bZhZz1jjx+33YcLJ3NXKCRsdTxY1FXqebEUEVURtoxGLjYPpMnHTWj4XjF5VksRtsxWM40/akzD9xuWLPZHR9uiHxo2hN9/d+jUtXNsBTZQc3xhNtsfI5CfCyV900qSTdiqX79sefWm20LRmTu3+OnKgyTZhK2IiKrN81rLEMKWiylvjq1z585hKdRbXpJjqzaGIhZXYbG6ha3o6Gj2anrtnSVsaUWjhg4SbIcV5Bto2bIlizV5b/4s6P0u7ZypDA0KEmimpKSUvae8FJT8e40aNSK0oLc8Ozu7zOJZrQlF1Lx0bW5lIDknmf1X9ttPo/TuaC3qzkTba9yli83JdOWKzapdwPnU83SY04HvD8hOl3KFIm7aBAVFEC4N7k73sF70bdoX07R7bNN8/32JtmtJkiru2NLm29C+JBU4tgDyT9j2xelkuRe6dcPyVa1K27mJTsrtrV8/aNuWzRc2s+L0CnZM6mdzxX39tSy2OZuNG20vpWPG2L+8dOwIShXh7dsd7mtJksomWGqEMe8xExjXZhyTOhUKEbn/ftvwd2XML1IetMLW6NGk56WrrhKfHtfYxh05wg83/MCGezZwR+c7uLbZtYAt/LKsSBrXk3RPQWjp5MmqGNxl6yn2/TnH0awq7YPa06dpH/w8ylnNuSRhS6dTHT4hyXmcPV/wAab9qEtKsvVSF4emYt3lVvI6gryLqXioqZYc82cl84BkZ8OECba8cMOGgaYC2nUR1zEkYghN/ZrS1LepzRmRkmK3XwZcgPv3gq+1DC7d48flj20gvld7Us2ZxU+rdT06uzx6YqLtg797d86knuVSxiUyvQ2Ym8rHoG2syS4PlFbMKrOwpRF7Wj30EvXc6xWdZswYtYqc79ZdfLn7S5aetHXUBXoH8sq1r/DytS+XdevsKUYYaNYgwiYKXLwo52KsKKdO2Z5phXIxpeWlEeoXipfBi+ateqmOQN2RI3hUZp2FsVqhoKod4eFk+rgz89+ZAHxz/Te0HVxQ3MdkknMuVhRtXuLihNkCfMZp8uVt2FDxdRZGc0z3h8jPE0XY2jJtC9eOfcQ2rfZd488/5TyXH35Y+jpOn7adE337lv5BrhW2nJVnS5Jsx7RpU9AUTjqRWODYcpBTLGz7UQIK+qA7xUlk5Zdwn4EiwlawTzDXRVzHvd3uZf7E+fx7z7/2yb219yZnCVsl5ddS0Ahbln9WM/REUaeV38USnq/p6bYCN127kiTJ92KLZOGP4w46Snr0gICC0PgNG4oIwkqHJ5TS6fnxx2o6DB57THYGO0Cv06sduCaLCV5+ufh9ASWHR545Y3u29etXtMKlIyZOtFW5/P130BgZKkxCgm05mjDE5aeWM+anMXy779vKr6OW4jRha/78+UiSxMyZM521yKuC8jq2CufXAtfn2IpzUo+RImw5yq8F1S9sLdNUlALU5O6VRevYau2gPHSY5uVt8ODBhITIdtK1a9eSlZVVZccUbEJbfn4+2YWEkIqQlZVFVsEHR6NGjey2raz7szYKW5f6tGPZpGW0D2pvP422MmFVhCNq7etdutgSjEMRl8elDPtrqFzClubaaDntGfbcv4ed03fyv+kL5HAfkEMrSthGi2ShS3AX2ga0xdNQTjeptpevGGFLp7lXdgvuxoCwARyKO8SEnyfw3b6yCTNNftesp8DNo7igznvkwMMPy+Nyc8v2Ul9eCiVT1/Ltge/ZHlogZsXFqcc3MTuRzPxMdl7cSf336tN/bn9KxGSCPXsAMEeEsy7LPoTWbDWz/8p+/m5htlX0WbFC/oh3FnFxNiGmWzdo3BgJiRf6v8D07tPx7N7bNu3Ro3gZbWG2vZv05u2hb/NQr4coM4cPoyv4sNnVFEJ6yOIY9erZhSaM/n6Tc3NiKJQkbIFdOGLavu3yMdq0yX6a0lxbmrwq5yJk4a1RvUaOp9XksvHeVslQrq+/toW+tG4tJ2nXhJAvvHEhG6dspIlvE1nYcvABmXXsIBsWwrcroMdvW0tfpyYM5n3TZg5cOVD8tMOG2dqzapV6fCVJskuoXiG0H5E9ehCVIrsxWjRoga6TfEwb5kDGOVvSca0joUwitNlsy1Hk7W1LFF8YT0/1Xlw/IYO2ifDT4Z/KlhuoLBTzwdwmoI1dBT01SXhF2Ko59jfcYDeqvmd9jj96nPQZ6bi7uZM+uK86LshRAZWKEhUlh+gBdO+Ot9GbY48cY/3d65neY7pdmKmd2CNJ8gdyblGRwCGKsOXlxQ/mvXy99+viixlUhdgDdsd0dyNZbLATTR1tq9UKTzwhC1b/+1/prjWtgHfNNcVPpzBggK0Dad0659yPz5+3iWuaYgBQsmPr2v9sTibffEiJKfo9ZocibOn10Ls3rRq2YsM9G/hi7Bfc1eUurmt+nd2zjFatbO9s27bJglFl0Th3i3VsNWumOufc9u5nsoOo2gaxqcWvY+9e23Hp04fkHPkbJ9+Szy1LbuF86nn76d3c5HQDIG+jNj8X2BX6KbbTMzHR1sHm5QWPP+54ugLu6nIX93S9RxbK3N3liALt99OECbbhkoSt8oQhKnh62u5fubn2x6SiFCpSorAtehtrzqzhYOzByq+jliIcWy6mvDm2HCUwP3fuHJIkMX36dNq3b2/nMqotObbMZjOZBS8PNUXY+lNTYhqc79jS6XS00CRCVVBcTQB6vZ6JEycC8rFcs2ZNlQpbDTQlj50Rjpig9Gxg79iCsu/PqhC2lOVYrVbMSo9PZUhJUXPyHAqGh8fN4oZ2N6i9nSraB2FVCFvaF/rCwlahcMSL6fbCYplzbFmttqqHnp72whLY266/Lz7vkUFv4NBDhzj52En8PR27NItdv/Iy7+tryyUDcq9xAZ5Rtgf/W8PeYtu92wjyDuLv03+X7aGfl0eXf+UPbbOHUQ2DCaknC82xmbFyuI/S+TBnjnPFHkmyCVtGo52rBuDBFQ+yJliTGL7gfHpl4yv4vuPL/IPzSc9L50zyGbmXsjgOHlQ/vpb4X2LS75PsPrDzzHn0/LYnE36/ibxbC9wJFktRoaUyOMgjVt+zPu+NeI/vJnwnJ5xV3K2FKl52bNSRGYNmMLHdxLKvTxMmu6S7p/3HxfTpWFvJ102/qDzify/ewfT+9vf5YPsH5c9PpxW2QhzkwdB8QJoPHpCFm4xCRQBKyJuHyWQTudu04QryszWoXjGOrXbtMDeSc3R0OJFEdnY5t0dtrBlma/Jm/f67rafaAU39mtqLIAXCVv5XX+BRYEz32F8GkaJAmAXY3VQ+d4rF11dO1AzyB8ypU2w8t5F6b9dj4LyBxc9XFgp9RJ5Jlh08LRu2xK2zzRXhd8YWxqW91sqUY+voUTVvT8yATpzMKeE5qnw8AjPz+iAhcf/f95NvySc1N5Wj8UeLPAfKjCKC+PnJeWQKaN2wtUOxskJoP3j7OxbolTCji9fYQoKCFDeOMygk4Ol1eprVb8awFsNkF4i2Gq92W+fNk/dL9+6liz2xsbYP1d69eXvn+zy88mHOphRzjffvL4ua4DyxB9RtlXQ69gTK71127zBaYUvZ1u3b1fyM5OdDae912mNaFmHLwwOGDJGHL1+unFCqUIwom56Xrnb4nQgEq2ImO3JEvv/+/bfdYjJPFcqjqiUjwyb+demi5rbS6XT2z5vCKOGIZnPln7FWq/0yinMp6XRyMY3COWw171PXWkuoTqjpWKBvX1XYUlh2clnReUoIR1QcWzp0dmGEdnzxhS0K4f77i+SYKsyCiQtYMHEBDb0K3iM6dpQ7YTw8ZEeVpihDiQnktWkfyipsgf176k4ndC4UUxHxQKx8bncPKcGRVscRwpaLqYxjS0n0nZSUxIYNG5g7dy4nT57kjTfecLh8Z4og9erVo149uSfHGcJWuqZnorhQRB8fH/wKQm+qWthKSEhgy5Ytdr8lJyc7xcWkCEb+/8/edYc3VfbRk6Tp3pMu2lLogELLpuy9N4gsWSoOEFHxcysoCqICLhAcgAiIyt57702hLdDSltK96W4zvj/evHckN8lNmgIi53l8LMnNzb25633P75zzc3GBl5fuRCNQq/XxCE6b9i1bttQL0UPBJbYsESDPPTe0FVvmEFuWDo8HLKTaOnyYGVwebERsHgCRPfPCL/382IfQ+fOszcxS4AZeR0XxOkhpE1u0Gtw3tC/OvXAOywctF/8dmi4yyp49UG3DDjzyyvPwW6MHqHbUDNz++su4ZcpUXLnCEkg9e/IHYyEhUErJaNQxTTcTgk54i6uLjX/PgQNwLiMTkty+nZjcIxrImVWWRUgJatGrrCRKJkvhzh1WldO5s6DM/jT3VqEZcN0uuA2fUuCVzffRJ8MWtapa/RMkzucA4IS/EuGe4cgrZwlpB2sHeNgR20Bme06ehCUtMNwigpYyDQDPnoesLDaQ1xwoFMAfpJW5QiZFSketDk5yOaQLFjL/tPp4rt5VfXTkI/zv4P/woNrEyjq1rXp4kOqxNjiKLZvE28IdwQwRW/HxbOv1Vq2QW07uw3qtiBIJZL2JCsSpBojbaWbny82bWSvewIH87BaQ+yE3dzDAOYCvjNDcEx3+ZO0rZckJxr9XM7FSSoDLvkaILbptFHv2wM3ODZWKSh0Vq8ngEFs1LaKQVkImH2EeYXqVPSZbETmTom+k57HsggG7LIfYGpPpBi97L9zIvYFFpxbh4N2DaL68OcZvGq//8/qQn8+SGTExPDuOp70nFs3exS7LVTFVVBBlxfz54sgYuq8ymX61iQZ+fUehXPMo8Lx6xXJkD5ckEyAGtltxnquU7FGrga++In8nJhon97TIHhou7uPoI7i4ylqOI0GacYWlyJ7aWvZYhYdhZvf/4dU2rzINFVKKUtDyyFgotMPyN2zgr8fQfQlgj6lUCrRpI27bOOexRboj6iG2buUTJaW3gzdUdja4TZNCLl0iBTst9V1t0i3oxfnzbAh5bCyUKiVSi1NRVEliPiprK7Hu+jp8dPgjfuwHJfGAuit7NmxgC0GtWrHFISF07UrC1LmYPp2xioYWG7CManVE1Ca2Nidshg64qkNtYkuj2LK1shVubFFbSwqJAMlu5Ha7NQVTphAL+5YtPHJelGLLyspw90dtWJrYEuiIqFarGbVyS9+nxNZTPCKYmrHFVWz14PjwV6xYwfx95MgRJnCbTtrlcjmkYrzAJoCqtixBbHE7IupTbAGsaisjIwNqtRolJSXYsmWLRcPOAWDHjh1QCXTGsIQdkRJGbm5uOhlbEomECYyn6N69O0P27dy5E6Wcyn19WREByyi2DBFbYn/L+gyPByxEbHFsiJTYuph5EZ8e+xRtVrbB1sSt7OCF2hErK/kDrLqiooJVbDVtSogYA4otOolr2aAl2vm3Q5BrEESBY0M826YBHBc44vltzwMgKqbnD87E2uaaa6eykuneZTHosyECgFyOYj9yDnvcLwRUKlTUVjAVQIbYEmH5UR/mhBCPZruOUSsinXzwOnVZ0hbC/d20yB6qwDrnTybzAJgB152C2/jrbyB61S78s64W1grWXiEIDrGVGdUQp6edRhMPvkW6oQup1t6K9GaJREsRWwUFbNaRry+jzLhXcg/3Su6xRAi3WyBnsqxSq3At+xoO3T0EhUqE+vLQIYZYkg4ajElNBQbFo0bhfih5vrknpglWcNVqNdsV0ZTmB2o1q9gSsiECvH1tfjWbVUhyYciKyMnXQuvWTLC+XmILgIRjRyzcZWYH4MWL2b8FJhubEzbDer41hv85HADg7+SPG95AKb2tb9wIzJsH64Ji9kPG2sFXVjLqtHgvoNzGRGJr9274O5FxRW55LnNMzQKdiNrZIdnbCiq1Ck7WTvBx8NFPbFUWISwf2ND4PZyYKsJ2yZlEng1gr01BNG9OwvQBWB8/hW97Ebv0/OPzGTWZvdxe5M5xYCC3RyKRwC6GQ1hwSZ0vvyRKi48+0ml4oYMHD/gNQuz52zli4wi0+7kdTqSR38zVxQdnQsl1aF9UbJngekBnX1deWokPDn3ATCBdm7VGlabJGnNcr10j+WAUxsgezjGtbh2DMk12k76uZlKJFAe4Yn9LPHc4IeOSlq3wZZ8v8eOgH5l7m7eDN64WJ+AOHSImJBCl+t9/89djaF/Ly1klabNmejORdNCtG/t3XcdMlZX8rrKabDZAkzvX9WPMaDsDQa5BWMQV5Pz1l86qWpQLdBik0MrXyqvIQ8i3IfBYRIpEaqgxaeskzD8xnx1LAHxrZF0stRUVpNMvxcKF+peleP555L9C8iZrHGzJ2IbGDxg6rlSx5ewMhIUxxFbfUEJenbx3EjllWpE1fn5s4ePiRZ7a3WhToV272JyrESN4Vjx9qFXWoqK2gt/QCWA7JHKbGOhTbBUWsiRyy5Y69ySDaNqU7UhpacWWZv8zSjNQUFkAmUSGKO8oPR988vGU2HrEMEWxVV1dzSi2PDw80IpTweLmQZWWluKc5kFJ129pAgRgia2CgoI627lKOKoOMcRWZWUliouLMXXqVIwcORIjR46s0/drY9u2bczf3TkVlLraEdVqNUMYubu7w4MGKGrg6+uro0qytrbG4MGDAZDfaR9nYv+4WxG5xJaPj89jY0Xk/m41llBNaYitGilwPIhYfjJLM/H9+e9xJfsKRmwcgdl7Z5Nl68uOePkyG6RJq0NcYktrYEKJLTqpEw16bUgk2BNpBYVKAScbMkANdg0GAPwWySEL9VRY00vSEfZ9GNr/0l7wfb0wRGwBcG5BJlU21QogMxMrL62E/Rf2eHXXq4zlUQyxpTjKEjee/dn7C51sMIPRdu3YAfqBA3Vrg05RWwv8+CP5WyIBtO5vcpkcqa+notwGuE7nPjduoOpOIppeSkdXjWjGuUKJ4GI2EFcQmglmmRyoaRouWCGlk+e7tTmsfeTOHeO2EzH46y/WqjN+PDPQnHt0LoKWBmHByQXkPX1ZNgBarWyF3mt785RmeqHpLgsAqgkThJeRSFA1mD23VALncK2KQ7jLTLgvFRezaip9xJabG1TRZNDfqEDJTuY4EQAGJxpalrhIz0j0Cumlm/nHBcfq6nHGjAnVmTPsBL1FCx3rLEA6IqrUKub38nPyQ2hAFP4aoSFSVSrgiy94n3EsqdRpfMHDlSvEGgtiQwRgPMw/IoKdDB0/Dk+1HbNNWaVGun/pQ0kJGx4eHY3bJeT4NPFoQq6pyEioNddWySVyzanVagSmFiJuGTB24gK0uFVs/Hs0k6JamQRXGxghtqRSoHdv8ndZGcaWBaNzw86oVlZj6dmlACxPbAEg5ym1BnFVTBqlJAAdS7EOuLk9Apa18xnncSHzAu/au9WSLZxJLUW803318AACArDhxgZ8cfILxOeRCW60f2skanZVfecOubbNVTEByIkiyhFbK1tGLSWEy1GcsaOWu8AscO8ZAsfUwdoBDV0aMtcYqquJukjbfm+McKfPRzE2RIqmTVkCoq75aUuWsKrSfv14pEiIWwjm9ZiHj7t9jLc7vo12Hy5DxaihvI/XcGfNho6rFrFF7erONs6QSCSwl9sj3INY/ah9DABR2VMCpC6W2sWLWVXlwIF81ZsBeP64Cjh6FNZXrgP+/lBT1X9eHhQPitkFy8pIxtULLzAKfrRtC0ilKKgkiuoYnxi09m0NNdTCqi16b1KreXZyo02FVq1i/542TdR+BS0NgsMXDriRKxAgBpAGAjTLTbuYcvUqMHky3w5tig0RIOcvVXjdv88eG3MhYEWkZHukV6TpubVPEJ4SW48YpmRsFRYWMmRAkyZNEMxhmLWJpf2aCg7N2KpPYgsA8uuYLWOqYgsA0tLSsEeTQXPy5ElBhZW5SEwkCgcHBweeFbCuxFZpaSnT1dLNzU2H2NK2IVJwt+FPzsTM0lZErmLLElZEbmMBS1gRH0vFVnY2M6E5GwBUWAPudu4YGj4UKa+n4NU2pJPQwRSNqqu+iC2hUFYfH7aqpMeK6GLrgm9Of4NPj31q/DuSk9mKVceOOFFFqtLUz+9k4wQPOw+c9weUjprQ2UOHBMme8tpy3Cm8gzsFRgJYuXjwgK30N2nCt1pqII/gZJ7cuoXbBbehUqvgKXFAi9/3YcBtEXliJSWwukYGQKmBTrD2ZgkIX0fyN2M/4+Zf5efXbTBK8c8/ALVbDxnCJyg1aOjSEG62bjgZoTm+ajWUE8fjc635XKMiA8RWejozwDoXAAS4BwsuFuRCBv9pxWm8oHGLqLY4eVd47jnmTxo4S8lSfYotqUTK5GYY7YyoUjG5ZWp7e9T20z/YDxr1PPN3xd4dOu/zOjeZ0tXTWHC8BtI/1iHPScZ/8Zln2OvZ0KSKq9hq2RJvdXwLBycdxOimo/V/JjgYiiBCkkTfLYeqolz/skJYupT9+403BLud0aq9jwOxWNnJ7RD3Shye//0GEGmAdKMTUSFo5Ws5WTtBJpXpXx4g20YnVTU1kNy8CT8nokww247Ive5btYKtlS26BnVFbICmyGBvjxwfck+0v50CqFRQqpVYmt4M1vT2yO18KYSiImJtA3DDX45qOXtt6gVnQis5eBCf9/wcq4atwhsd3gAAw3k/+mCE2Np1exeuemrGpNnZRJV54QL/nDWB7EF7fvGjpKoEmaVkMh3hGcG8XtiFVYpJLHFvysoijS0Asp8SCZILyXM01J3ck11sXZAWoMlPUirJMeSM0QAY3lelkj2HAwORqeFkfRx8hG1YGhQE+6CM1kDrSvYolcD33zP/rI5pjpSiFBRU8C3fkZ6RmNdNo+YB+M1qKAztq4Hg+B23diAhT89zytaWzXuKjzeeWaYP2dnAAk2hRCYDvvlG76IvtHoBL7d9Bfa/reU9f/9qy7le9JF4xcXsvnp6AqGhzHiBmydK7WK8zE+plFUycUPuTUFuLqvQkslMa2wjkRCFHG1sxbHoFcZrnitXrpDrYfp04Ndf2c9qjmkbvzaYFD0Jbf3bYkJzUjxaem6prlqKay/mnMMuNi6YEjMFY5qN0d2+7Gyi2AJIR0uRhB3N6uIWpHiQSICGmiJBWhpLqh84QAit33/nqzA1jimlSomXd76M7qu7o/vq7pi1Z5b+jeCe81qB+SaDElvW1kxO59N8LYKnxNYjhimKrZscaXVYWBhCuJ5gLVBii66fux5LwZIB8lxiS1/GFsAntg4fPswQdwqFwiKWSIoszeTD398fDRuyFdG6WhG5KighxRZX0cRF//79GTLmBmdS929SbHl7e8PZ2RlOGnXL49AVEbAAscWZRJ4NANxs3ZiHqJudG2a1Jw+69BINkdesGZPXhJMnLZcFwq0Q0geoRMKSPykpvAHhhOYT8FLrlxDqFoo5B+bgk6OfGLdycdRS6kGDmAEZ188f7BoMpQzIa6vJY8rL01HYACLk5kI4eJBVpQmotQDwOiPi9m3cKiCDkVGbE9F44Ups3wDYZRvJaDp1ChINGRc8bDLvrQjPCJS+V4p7b3Am29y8iLpmgKjVpKpM8cYbgotJJBIkz0rGa1symYqdw/kraJXNXy600IAVkXPOnAnQP0mmqpB7D+7xiS2uXdMcJCWx29C8ObEcaZBSTCYNIa6a5xw3pJmr9vjlF5z/+gGmXgZTKdaLK1eYierJJtZw/NYTFx9cFFxU3qEjVJrKuePxMzrkLNeyZpJiSySxhagouFy4zrdZ9O/PXs+pqYxSiYeqKnaSEBoKGCgUaUPWm0wSbJSA9PwFI0tzUFTEWpS9vYFx4wQX05sdZG3NKhQ1qHHiKIkMhflygouNBsdzoWX5ocpVvZ3ojEFLJdevcT8cm3IMPwz8gXk5J4SMmeTVtUBKCqxUQJdz7AUbd3Y77pWII/FO+pLzz6BiC9DJJ+oa1BVTYqYw93p7qzootmxsBAnJkuoSnHQqZl+Ii6uTikmbBKH3M19HXx5R4NoyFrma3ZFwFV/mgtuVsWVLVCuqmbD9Rm5sUSW9HRuyjbFjdYlYY3l4tOtihw4s+asnX4vC1cEdcXSRlJS6ddD7/Xf2mEZH41yoDRp91widfuOrUiI8I5DiDvw1U0uN6eTE5qyZQWzVKGswbfs0NF3WFMdSjwl/lpI9tbV8gsEUfPQR+1tPn85/pgA4lnoMqcWp/FxUZ2fg779R6eWGLEfgn5ERqHUmz4UHiVqEoloNrF5NSDhaGI6NBSQShtjiqkljfGIAaCm2AP69SYg8NIa1a4ntEwBeeslw0UALlzIv4XrOdaZDrIRTPKy6k0CIrNhYVp1K0bYt8DLpTDy++XisGb4Go5uOxgutXoCbrRvSS9J11VKc5z2X2ApyDcKqYavw3YDvdLZPun49+9ybPJlV8hkBHZMbHONSsUhFBSlS7tgBDB5M7KsAydWKjibdPzUumktZl7Di0gocSzuGY2nHDDcm4t7H6mJHVKlYVVlgIHPt1Shr4GTt9JTYetQb8F+HKRlbcZzBvLZii0KmucgvXLiAoqKih2JFBCxLbIlVbO2irL0GlgqULysrY3Ks/Pz8zFIZ6QNXBSWUsaVPseXg4ICWApXR+iS26iM8HmD3MT09nR+aqQf1ER7funVrDBs2DGPGjIG9KT55IXAC2/17DMX01tN5bwc4E7KytKaUKIWkUrYCnZvLn+iaC7WaJQicnYl0n4IqXWpr8dOa13As9RhKq0vxWvvX8NPgn9DOnw3ANBqCzcnyyOgYhQfVpNV6pCc7cApxI0REYgyHpBVQIlC5uUmkAG1zD+htc1/ckDMhuH0bcTlxgBqI2EcISCs10CTdiBqF20mIm+8BQCaV6Xa7tGT79TNn2AlsdLTO9wPAV6e+QuuVrfHXzb8ISbpuHS/AmYteCMaAxvyMrtLqUpRWl/JyblIiG/Ama1zQ/LW04jQip6fXzKFDdZs8cq1JHLWWQqVgiGB6PsHVlQziADLYr6wkSpBZsxCSW4P5h6GjMNAB7TIJYFeoCiq1Cq5WrsLLyuWQ0hxLAXKWnr8yicy4QogLscQWAOvwpoT8njQJeOcdcs7TiUZNDWsBAYj6bvp0sk46ENdUxHUq5Xog4SpjTJlQbdrENsIYN47fRp2DnHIyaRfKDlJ37w5Qa6iDA1IncSxAIogtta0tXpr8HT7q+pG4beYG21+/Dn9nDbFlrmJLi9gSQkljzj3xxg1yn+E8I0sTrjEB1oLgTIbO+JN7pzECBP7+xHoJkGeVZkxIJ64mnbsAIQZo1mtUlG4nNZDOiNe4h/jjj0l+GheGLGtqNatocHNj1SMaUGJL21ob6d2U+V5Jfj6rtjIHtbVkuym6d0dKcQrUUMPR2pGXV1c8Zij201snJU64EEv2tG/Pkr8Oho+rm60brnEXMYcAAUj3vvffZ/+9ZAnKlOT+of2co8/5DS0ATJ3KvjFiBECLsvr29e+/2aKPszN7ToIo/Kja9stTX2Jb4jbdz2tdryYjPZ10qqTfP3cu7+0aZQ16/d4LId+GILM0E+U15Th17xT2Je0DWrbEz3+/B/83AZtGTVDo6woAcMwq5KvH5s4lvwu9pu3tgU8+AUDIXoBPbNGCILWQMeASPuYowLkZYq+/bnDR0upSVCnYUPxp26ch+qdoJruOq9iy3bKTWA9pMbhNG+DYMUKqnj/PngMcONk44Z8x/yBtdhqiG0Tz3wwPZ5uniNlPtRrS1avZf0+ZYvwzGshl5D5lsEM0t4i0YweJgKDPtREjyH5evUqaX2jGW7QQEuEZgb9G/4V53ecBAHbf2Y1PjnzCH5Nwn6/mEFslJaTQGRjIEtkcHmB+z/kofrcYr7Z91fR1P0F4Smw9YnDVIkKTdi5xwbUbhoWFwd/fH1ZWbEcyKysrTNU8bFQqFU/R9LgTW6ZmbAHQ6VpoKWIrizPx8PX1NSvwXB+4KihTrIgA0E6gA0d9WhHrQ7EFsPtYVVWFAhHdzeojPP7111/H1q1bsXHjRr0qOdHgVNEnTFuChb35IZ0O1g5wsyWEIdNanWurskTI7f377IS5XTs+ycEJR72wYwW6r+kO/8X+DIkll8lhZ0Xk9QYterW1rELHywvnPcm9K8o7ihk0AECwSzAA4Fw4Z1AsYAthFFtibVw1NWy7bRcXwQwfAKhpHMz8XXXzOvIq8tA6C7C5z17X61t9bvi7jnGqxl27Gt+20FB2AHjyJFstNQciLF038m7gctZltotax468SVhJMEuYjJC3wNzucwEQq977h95Hg28aoOmPkVCdYO+hvy64iXHNhZU2bfza4Os+X+ODLh+QgSj9TTIzza+eczN3JBKeyuf+g/tQqpWwkdnwSRD6vaWlZJLy888MieNXBpTkGbk/c4itPwPJ+e9lrT9QnbGrAajeu5v3FlVsmUTMAiYRWwDIZGHNGmIt4SowAZYcOHiQWEN+/plvXRk8GDXKGsg/k8NjkYfxbDnu5NFYBhIX69axf+vLLQNLbHEn7R8f+RhuX7ph/vH5zDG9tP4bJDRhiywGw3w1ygFJy5Z4OfY1vNj6RXHbzL0HX7+OjgEdMSx8mHFrnz5QYksuB5o1400WKSrDOZbinTuhWP8H7/1GRUY6I3LsK+cCgEDnQEglIobx9BmgUDBWxuP3yLVPO2aKxvr1LJktlK8Fkiv2d1PgHp3DnzihW8AxRPakprLkQPv2OvdAaq3mFlQAoL1/e0T15NzDzCV7AKIgpPe2zp2BAQNYG6JbKM8m2NKvNZ4bCeRzrcM2NuwzQZ+6EiDPC4oOHTAyciSOTj6Kj7t9LLy8Bu527nzy0Fw74sKFbJfWESOAHj2Y8HptYovaPhPyEoh1cdQoQm7Mm8felwoL+feg8nJgzBjyHyX9Bg/mjVFWXWUzk/Yk7cGR1CO626lH3SMaa9eyqtvZs/l5hQCSCpOgVCvhaO1Imlrk3kDnVZ3xwo4XAAAplZlQS4mquSqQ3LelajWrzjt4EOB0pMfo0SRgX3PtCSq2GsQAAJKLkvljL65iy1Ri6+pV9ryPjeUr2LVQUVuB0O9C0XIFex1TYpV57nKeN95bOPmmL75Izt2uXXWaAOSW5/Lufz1DesLLQeA5K5ez2Zm3bzNZirXKWpTVlOmQUK537kCiuX+hSxcdwtsQTFJsAcB777HugPHjSRYozeDigFqim3o1xTPNnkGPEFIMe3Pfm/j0+Kc4n8EqiuHtzf6eFy+aZqmtriaxFEuX8gta3NwvkGgGk1wQTyCeEluPGFSNYm1tLeinF7IQWltbo1OnTrCysuIRIR07duSFqO/fv/+hKbZy6lIZg3mKLe1cMUsRW5mcm4afnx88PT0ZQqWuii1zrYiAMLH1b1FsWVtbw9mZPNC5+yiGKKwPK6LFoFazii03N37LYA56hPRAv9B+UEMzIeBK4C1BbBmwbXCJrdaaU7u0phTzjs5jBlvUvkOrioI4d44QCgDQpw+SNVYxbsYJwCpszro8YLz/OHaMrXxpwASEin0IHz7MVqmGDGErfVpwC2nKdFmrTSS/7fMpbvyFDKkFSksZe2mCF7C7RNeqtuDEAgxePxjH0zTEkETCWn5qaswP8y0vZzvgeXsTW4sAqF3JXm6PIRuGIPLHSKjefw+YMQPo3h0uew6zv49mAlmrrIX/Yn8sOLkAFbUVaHsuA9LLmkpxVJTBVuDBrsF4q+NbGBSmUclZImcrLo7NfevRg1ftTSkixyfINYg/cX/rLfbvr77Ssa+p7mrZI7goLGSuk5qwUKS5AXZWdnCWGQga5xBb9zb/ynurgWMDnJx6Ensn7tX/eSGYQGzlluei2+puCF4azNpjuPeYu3eJbbVfP6JeAwAHB0Iu7d8PTJqEvPI8qKFGSVWJ8VB1zn0p/eRuAwtycP8+SwQ3aUImunqgz2ZVXFVMlFLW1sALL6DHzbfxzh1O63khYkupBBYtYv9tSut1gNyvOQrA19vPwtaxWzEicoThzwkhPp4hjNC8OcpRC4cvHBC0NAjlNSzJXdmxLdtB75dfIFm3nreaBuVAaaGWl5hCrWbOX5WnBxa/vAWL+iwSXlYbAmqXT7p9gla+rfB+l/f1fEgAJSXAhx+y/9ajmHC1dYWNpzfGjgbU2lYhel8qLiYWViEYep6BVWxpP3ucbJzg1YFzbzKX2MrPJ2QNQO7tS5eSfK0ifr4WRSvfVugdOx6HP5vGknDDhvHtc9zJKED2f+pUVl1jZQW0agUvBy90C+6GNn76ryMACPcIh6IFZxxhDtlTVgZ8+y35Wy4n91RAL7EV6RWJ5t7N0T6gPVT2diQL8sIFQggIEe4AMHMmv3Pi8OG8PK/ssmzsvkPuNR90+QAA+GQARV0UW2o1KQ5QcNVmGnDPKYlEwmQ7ZjzIQI2yhtjwQay/ymAO+Z2SQojBCRNYwnfBArLPnBgTSly52LDWWU97T8ZqfymLk4sYFcUSf6YeV65aa9Ikg4veyL2BvIo8JOYnorCyEAqVgmnAQrs/C45pfX2B777Tq8xtsbwF7D63w7Vs3W3Xa0dUqRhV9I7bO+C0wAnd13TnLRrAtQaboNYCALlUo9jSl7EF8BVblFh3cyMFI46IhAtKbPk5+vFep04InXOZ3s+qqsSfx2o1Ccmn+29jQ9Tbv/3GV5U+BYCnxNYjByWe9E3YhYitDz/8kCF4uDlbffv2RdeuXZl17du3j1G71EfGlo8POzh9FBlb2qgvYksqlTJkjKWtiE5OTjzVnamKLUsTW/Wl2PL29maIW1OtnfVObKlUJDuK2ncA8tARQ+xlZDB2h+qWzZFWcg+VtZU6i20aswl7J+5lW/ByiS2B/CmTIZSvRcGpqrfKAoZHDAcALD67GL1/JxN3mlNiULHF7UbYty/CPcMxvvl4dAviW+WGhA3B4UmH8f3AH1gCpLycl4UDmKHY4toQDXRBlVtZI9mLTKYcMnIhVwBDb2gNZgypBU6fZqrrR4PYsHguztw/g113dvHDbi1hRzx8mJX5Dx+ud+CYVkwm+i18WuBA8gEk5ifibuk94IcfgCNHiM2DPhvu3gXUauy8vRM1yho0926OFrbB+IHLW3wk0r5FQS16gPkhqDt3sn+P4JMJOsHxFC1bAgM0tsq0NJ3OQrK7qfq/b/9+pmKf3YVYxQKdAw0GNCMyEhWergCAgCt3eeSsrZUtOjXshK5BIhR9XJhAbLnZuuHs/bNIK0ljs5e4E8h//gHefJNVIgwcSBQEf/zBEK15FWSi4mHvYVzd4+iIBwGksu55N1tch88NG9gJ3YQJggpDip4hPdEjuAevEyuTbaWxAJbVlKG0phT3uMMAbWIrPZ1YdL/8knkpq2MLHEs9xlwbokAnyyUl5nf4VKlIjg39rYYPR1JhElRqFcpryuFg7cAs6hjUBLP7sx+V1ehOstQpeu5NSUnMM0naIRbDIodjZKTIbtACpEDvRr1xafolowQKD/PnE1suQBQ4BjqDNXFvgjMNgWuzOAHQ9vZEyUIhdB/OzQVWrmT/LUBs+Tn5IdQtFM28mum8p9ZS4pmFTz9lVUeTJzPFobtFZHtD3fjElq+TL9aNXIcxr68kquI5c8i9mHutcvc1M5Oocri2qtmzBRUh+vBG7Bv4+f2z7PVmjmVt0yZWXTxlChOSTokt7rkLAN4O3rj+ynVsGLVB914iRGz9+Se7j46O5N+bN/OKKH9c/wNKtRLt/dtjcjTJs7ycdVnXMubvT0gGwPTjeu4ca5/t1o2vzNGAqvHCPMKYfbWzsoMaaqSXpMPX0RdhHmEIdQuFlNvMJTmZnCN0DtS/P/C//+msv5l3M0xvNR29QnrxXt8wagPuv3EfPUM4CnR7e1ZpdeOGeGVPbS2rnrW2Bp591uDi3PFecmEycstzoYYaMokMHnaaoruvL2rkWsd6zhwS6C8AtVqNwkpyn6JNXQCicO6+ujtaLG/BHyMLKPEEx4YqFfxodIJcrjNmMAYmPN6QFVHgvMALL7DRCwKgCjeGCNSAIbYy9RBbgHg74rx5RCkLkHvEyZNk/DR1KkO4/RP/D8J/CMf7h0woVDyheEpsPWLQSbs+gkL79WbNmuGdd95h/h1OO4UA6NevHxwcHNC5c2cApGugvvVYAvqsiDdv3sSMGTNwyoSOb2KtiN7e3kyOmDbqy4oIsCqj4uJilAllKIiEtmJLIpHwyCRDxFbjxo15iirA8kSPs7MzM9GrK7GlUqmQpxkEc0nQx4rY2rmTDOb69yeTRIBU30JCAD8/4w8ejg3xuFclgr8Nxtyjc41/LzcDq74VWy4uqG0UDACIzgEW92Sr/EynHk0V0aBViUvW9OmDoeFDsW7kOp1MsUCXQPQI6UGyxQwoe2ysbBDqFopAF/3nPAOlkg2ntrfXHxyvwX0fMkGQqtT47kEn+Gfxr9mUK0f0Z9lwbIjHgiCYO0XJLjqoAcC3RppL9nBzA/VkiClVSqQ/INdNqFsomvuQiVyT75vg7H3OeUAnGhUVQE4OhkcMR+rrqbj68lV8e9wefpqfpLhXJ/jem4Xhfw43uGk3c29iS8IWkn0VFcWGtpo7eaS2UoAJYqWI8o7CO53ewTNNn9H93Hvv6V1l11pSNU0pSsGfN/5kc0IAng0xoQ2pzBoN3pZIIOtDCEu7GhUeHKtjfppKxcvkM0ZsyWVyRpUSl6OxBnInkNzz5a23yG+qpbyjFXhvB771Rh9qmxF7l12NynjANyDahggAq4evxuHJh5k8KwBstpUmqySrlDx/ZY6OpAU7wCe2yssJiUzHF1IpMG8elnulovua7vjq9FfGt5mCS/hcuwa1Wm28Y6o2Vq1i7WSNGwNz5uB2AZlE00kyhYedB1a0Aba15BMYdxuxz3WrVD3PxG2c3CGtLoFGYa7FlIukJFbdY2PDIxWFQPd9x5BwVjny/vt8C6j2+bVtGyn60IxDJyfBfV02aBmSZiUxth8uTjkWQiklYxjF1Ss67xtFeTk5pgBRP37xBfPW132/xt1Zd/F6ewO5RYMGEeWTl5cwsaVSESKEntNOTsAvvzDqw9+u/IblF5aLa2Lg6Mh27LtxQ7/dUR+46h6OiomqDB3ljtqf0A9tJWlqKhMmDgBYtowQLVrE994konh9rsVzaOzeGK62rqhWViMuV+s8lUjY8zgzk6jqxIKr1po8WXAR+kwNdA7UfB2r2kopTsEPA3/ArZm3MKDJANg24Yzf/vyTHRv5+ZHfVCDvsnej3lgxZIWOVbp9QHve/ZABtSPW1LBqUGPYv58l2IYOZYlAPaBWSIDYIem919vBm83ek0pR4M2xGnp4ECJfD8pryxlVFJfYspZZIz4vHmqoEZ8Xz9kIdhsYYktAzS85fRp2VJXcr5/RfdNGz5CeGBU5ynAmIVexBZDj+KrhvKqfh/6MvLfz8EqbV3ivcxVbvCxhU4mtS5cI0Q6Qa2DDBkFV9I3cG7hdcNt0a/kTiKfE1iOGMcWWdjX5559/5i375ptvol+/fvjwww/RRnOyD9aaJAAPl9iaOnUqli1bhokTJ4pel1grokwmg5+fn+B79aXYAmBWzpZKpcLJkyd5RJm2YgsAvDSDd5lMhgbUuiUAiUSio9qy9HGVSqXM719XK2JhYSGUmoEW91ypixXRUuHxDNzc2O4iK1aQ///0EyG3qquJr94QOJPUm0FksiKYJaAB4+93dGSrQ/HxdQvgrqxk812aNCEDDy1kh5Pz2E4BhGRVMrJsSioxii19VsTCQpbEa96cDODEgEtsaQXI927UG0mzkrDl2S3G13PyJKsUGDDAYAUNAO43ZAc9L3+nS7B7ZD9AxgOBc6+mhnfM4yLceF23KGj+BI/YcnNjrQc3b5p+TNVqlqiwseH/dhxkl2VDoVJAJpHBz8mP6awEAM/8/QzbrU+rqiyRSIi1b/8BdNtDlGZVNjKcfGccsstzmPBefXh97+sY+ddIHE09SraPhv/Gx+vYTI0iN5cl/6KidCqlbf3bYmHvhXih1Qu6n+3ShWTeUHDyPUI1XPy6uHUYt2kcfrnyC3mhuJglthwccDGUXKtGiS0ANn3Z4P2q42z2S8aDDCw9uxTr49YLfUwY27ez3aS6dycTZyOgKk/GwiFUVfb15QXackEVW9ywa0OwjWEHzdVXhDtGMoiPZ60y7doRYsdEaCu2qLXD19GXvZ4yMljVwqxZ7EQvKIjYfj/+mAnpFd0VEeARPsXnT8D+C3s0+KaBqKYmAMh5/Pbb7L+XLwfs7HCn8A4AkjXFRZR3FArfKcSQo1mMIiPTETg9iN0O23StLKqSEkI6cL7nmL8CG29sZKydRuHryxKe5hLR8+ezx+Ctt4TPQw6auDeBt4M31FIJIRYqK0k3MW0ChOLUKaLEpYSFhwchDUzo6gkA/l6huONJrgN1/E2UlJpAgADAli1sFtS4cTzy2UpqhRC3EEEiQqlS4nbBbdzM5RSqhIitJUvYZ6GfHyEan3+eIXwWnFyAV3e/ytgejYIqXiorgTt3xH0GIMrOI5r7WZMmvAm3PisihUqt0m00o72v06eTcxcghDenOQgX9LnT2L0xGeNqCIELGQJdWbnqHrHncVUVOY8AonbhKgY50Ca2AFYxvCWBP0ZxjOCQs9xGM599xpLxdYUA4WMUa9eyfxuxIQJkrEpVcneL7upVH0lCOMf2jTcMPreoWstaZg17OX+cpvMsA/iku0Z1KKTYknDtrEaUaEJY1GcR/hnzj2GFqq8vvxnG0KFG73NSiRSe9p5ws+MTbdE+0bCWWSO/Ip9RoJM3olklvjFiS6kEXnmFHUt+9hmxOAtAX+7gfxFPia1HDGOKLQB4ScOOz507F7Gxsbz3GjdujL179+IzTmjhCAGJZn1YET08PBjijRJb2dnZuKCZAKempvJICUMQa0UE9NsR64PYoootczoj/vTTT+jSpQtiYmIYlZd2eDwAvPjii7CyssIrr7zCsyUKob6JLYC1I9ZVsSUUHA+Y/lvWR3g8g44dWVvgqVNksEQ75wBsBpA+cIitS/7kWvC099RZbFviNrh/6Y6B6wayL9LvffBAx1JlEj74gLWv6bGGXPfnPKwvXcKNV29gbNRY/NBnKfDJJ1gdH45z085gcJguKQ6A3/1OY7m7V3JPbxDnhrgN+ODQB0hxUrIDg6tXzSfwRNoQKU70j0Sq0G1E0/bauQaoyBY49374gTnmR4IBx2DhcFI68Msq05qEco+pqfejuDj2PDBAeqSVkEp/gHMAZFIZo9gCgO/6f8eGmQtNqi5fBkaNgkRzHKw//xKJDsQWYIzkoaHa9PuZSYY57df37GHPBYFCjFF88glb+V+wgH1dc+zo4C4hL4FMUgcOZInRfv0Q4R+NcVHj0DGAH7wqCI6VV32DVRHcLriNN/a9gc9PGGlEwMVXHDURlxAxgObe5PjeyNNMBuztdZVeb7+t1xpCFVuGCHcu7FuxCpniCycMLAl2wgiQgF0DqFXWCnZnpCRBbnkuapQ1bGaJkx9yPDT7pFKR62nDBvb+7OBAFAqae97NPEIoNHEXHyjMnSg73bqLKkUVqhRVhgPcufjmGzYnauJEJpONUWy58xVbcpkcbnZukDq7AMePY9uUWPR7DqhoxF57zhl57Aeqqojtl2tZmzABb9XswNhNY3Ex0wjxSMFVu2RlsdeCWJSWsjlJLi4GVZMU73R+BzlzctgQdHp+Ct2XSkoI+cGxcyI+nly3WlCoFAaJx2DXYEgbk+MqV6rx0U9j9C4rCBHqHiGsuLQC4T+E471DnN9Ge1+vXGF/O4mEqHu0VCKUrBTqHMrFhYwLaLikIX6q5cQQmJLHtHYtew+ePJmnpGrn3w4vt34ZnRt21vnYmqtr4PiFI17codWkgbuve/awHRCDgnSyELk48NwBJMxIQMdAci9u56cnmwgwL2dr507WVjpypE7QOQXtwstVkNP8q2UXl7EZhwAcGjeFSttx7eamNxMTIB17i6uKBe+Byy8sx6D1g/j7bGpnxKoqtjDm7k5cCCJAbbXpJem6wfEaNBijUfMFBpIcTwPg2hC1hRmCxJabG3sNXL8OqFS6ii2lElLNGFBtY0MIp/qAVMrLRcNrr5m9KhsrG0YRxzuu1tZs7m1SkmHl4S+/sAXlpk0FLa4U+nIH/4t4SmzVI5QiZMHGFFsAsHz5clRUVOATTdtYYwgODkZLrW419UGAWFlZMeHnlMQ4qKXKENP1DmCJLblcDjsjOQPaxBZd/mFYEQHxiq3Dmg5yubm5uKYZcGhbEQHSoa+0tBTfcwI19UGb2KqPzClKuBUVFUElJmNFD/QRW9zf8pFbESUSvqx60iR+1oohYosbHO/tjQQbEqwuRGw5WjuiqKqIqQoCsEzO1qFDpAIMkCoQZ7K85uoavLrrVZRWl+K4J6dL36VLCPMIw4ZRGxC+YT/w6afwXfA92t0o4knHeeBWAvv2xYPqBwhaGgTb+ba8cGSKb899iy9OfoEr2VdY22VZmelkD0A609BW8XK5XoseFzYN/NH6JeB6DEdZ1r49UftooNa2weTlMZJvtUSCN/vpZqlQCCq2gLo1BRBhQwRINTPcIxzhnsSGPjR8KFxtXTElZgo/+Jo70UhOJrknAweymSojR0I6ezaTSWSsGxwlvpisp7qE+RqwIQLA2ftnkV6SzptM8NC7N6mU79kDzJgBtUbVUXUrHqXVpVhzjUxOU7ISoB4xgs2g8/ICFi7EqKajsH7UekxqYbyqjYgIKDQjJetEVhFBlXGiM+JOnSL5bQBRqQ0YYHh5DehkYNftXdh+S9NYgKt68fQk6gg9oNYEsYotCWdCpbh2Wf+CajWrbpRIgGcEbKMcbEncAvlncgzdwJ+UeNp7MgrSrNIshiz2c/LDzhrOffHsWf69evlyRvWkVqtxNfsqAL69xiiaNGGq57K4m0yujCgbWE0Na1njBG8D0KvY4sHHB/8MDcUNH0AZwl573VQca/Z77xEyBCAT8lWrgLVrUVBFJo8e9rrqXL2oix1x0yamYxnGjiWKYyPQm+cmRGzNmMFa8zp3JrEAWl3rKBaeXAjPrzzx2bHPBN8HAEUj1ipWcv6EeAVeejprmQ8N5RWKssuyMX7TeHx67FPBj9LrlGeh46o97t4leXi0UDdnjo4qt7K2EqU1ZBzB7RwqBLlMjvQH6TjjUcG+KJbY0g5T13JXDIsYhuWDl+OZZrrXtIe9ByoVlQx5y8DLiy3GUBU8QPbTQLHay8ELEZ4RcLIhhFM7/3aws7KDUi0wfzLnmcMl3w0QlW/FvoWPu36MFj7sd/Rr3A9yqRyDwwbzFGoSGxuoArQK7FOmGFSSP7flObh96Ya119fqvHfg7gHsvrMbR1I43SBNVWwdPMgqDYcO5SuP9GDPnT3wtPfElZeuYNmgZWjj1wYLei3AxOZabpuZM0lR7PJlowpKoXwtCobYytMa79JnTmkpkJqqq9g6dgwSTZatun9/wNlIExQ9UKvVxu8FVBHVrRs/S1QA1YpqjP5rNGbtmcVsMxeUpNUpQHDtiPpiK/Ly+AWEH3/Ue0yVKiUTrRHp9VSx9ZTYqgd899136NOnD6ZOncpTmwhBjGJLIpEYJXu0oa3aqg9iC2AJC0pi7NcKTc4X6YOnGVuurq6Gw3zBJ7acnJwYC2ZJSQnKy3Un2aaCKracnJzgpKnumKPY4hJkqZoHfXY2OxHmdkQUq6hr27Yt79/1qdhSq9V48OCBkaX1Qx+x5eTkxKjyHouuiM89x4a2ag8gkpP1ByinpLAB823aIL+SkLhCxBatAqaXpLMP1rp2Riwu5neG+fJLXnbXnANzsPzicgz9cyg+ns2R0lPbolrND+mlEyhtHDrEEhG+vkDXrgy54WzjrBMwC7AS/tTiVNayBvCyItbHrUfLFS3xwaEPDO/n/v1MQD+GDDE4SKZY1GcRloxfg5ZDM7F0lD8hdH78kUcISFO1QqY//pixTpzuHY6rvsaJLb2KLaDeiK0eIT2QODMR+yaSMP9g12Dkv52P34b+xl+Qa0W8e5d01aG/Y6dOJGBcJuN1ezKEIFctxZZWPpFo1NSwjQg8PHQy4aoV1ej4a0c0XNrQsD2ya1emKl0VRJ4J8owsJGXHY8ftHYAaWLypDBJabHFxIeeSCS3CAQA2NsjyJc8Bp7v3mRbgtKrMKOSMgavWmjPHYMg6F2382kAulaOkuoQlXLjkgBFrSIhbCHo36s0ov4yicWPUWJN8FdsEA10mr19nlXpduhi1J+eU5UANtU4XVKlEil6NeqF/4/5QqBQ8K2KhF4dA+fBDtivrc8/xrE0pxSkoqS6BtcwaTb2aQjSsrNhr9vZtNLIlhSxqizSI7dtZ5dOIEWwHWEBvxhYAfHfuOwxYNwCn00+jqJIUuuT+gQzB5pCuuUb37yfd+ADy3smT5H4vkTDXhdCzRi/qQkSbqWIShLs7OzFNSSEkFs1pc3Fh7kv6QDu40TBoITzgEEqRWQpmsm0Uf/zBqpgmTeJdo7fyb2HDjQ34/drvgh+lQfapxakordacp7a27HVx5QprW2vShFg7tZBTTo69jczGaAdTShycdueMecXeh8+eZW2LPXroZgsZAFVE3im4wycJJBLdDnoODnotiPrQv3F/PHjvAVYPX637ZrNm7DERs68VFawF3dPTIFExrvk4zOsxj9ewZGj4UFR8UIEd43boWJytGmnZrrl5YgKgxJjQce3SkBTcTtzjKGQbNABoNq0YtbuJqnYAWHR6EV7d/SoS8hIgkUgQ3SAa73Z+F+Oaj+MtV6GoxO2GDrgF40IFeq0x4fMc0GcQkxdJoaVOo89WWytbQsJzCB6VkQKKPgzdMBTST6VYfXW14QW//pp85549Rp/R2WXZ2JSwCSsurRAcB8zuMBs3X72Jhb0X8t8Qk7O1dCmrBp4wgaj49SC1OBXVymrYyGyMFij/C3hKbNUDzp07h2PHjuHBgwe4om+yqIEYxZY5eFjEFs2EqqioQHx8PA5Q+bEGeSIl71SxZShfi4JLbEVHR/NIJ0uotigh5cuxe5iTscUlsVI0XWKSNQogb29vOIjIV9EGN4QdgFHrojngBtTXJWdLH7EFsL/n/fv3jVZQ6p3YcnXV79mvqtJt0w2QQQZXxdS2LTPZEFJGBDgTlVp5bTmbYxUVxS5gDrH16aesda1XL55suqymjNmeo6lHMf7IDKjpZPjqVTI5P3OGRzTdOLkF2xI5AcUAbucmQPXGG+wLCxYAtrYMsaWPDKES/pSiFMb+B4D3fVmlWbiafZUhVvTCjEmVp70nMkszoZICF8Z3I6RR69Y8QsA6jXMdHzzIknxOTkh/+yWMaTYG7QOEQ5ppeHx5TTn//DWX2CooYFVFERF84kIEZFKZbkGAO8k4eJCdVIWEANu24Y87mzD6r9GMCsgYsUXfZ7rOmTtRPn6crSwPHKgzib1Xcg9qqGEvtxetMpJqsp1kaiDjOslUe/sU8BzdLHt7KHfuQFnTxlCr1QZttEIoDwsGAFjVKJiMLEaxZSXi2RoXR4gQgHT3GjfO8PIcNHBsgPMvnseGURvQuxGxumH8eFK9DQ9nrCH7k/dj1ZVVTD4OxQutXsCB5w7gpTb6A395kMmQH0Tu1+73C1iljjaoihIQlXlCJ+1CSpQ9E/Zgz4Q9CHUPxYiIEVjUexGGhA/Bgwac3BKqnpXJgIX8icKVLDLOivKOglxmYg4jPY9VKnR4QCadGQ8ykF+Rj+s51wW73AIgLeApXmRtWQqVAoPDBqNjYEc0dtfNHDtx7wT2Ju3FyXsn0Te0LyZHT0ZTnyh+F9OCAt2ihWY7qxXVzDEWmjwa3U/AtOs1JYW9d4SFCXYp1Idp26YheGkwTt47yb4okbD3t7Q0Xjg7li83SrIwWTIGlAklnHU0zxVJVGqrmLQyipiOiO7CxQ4Pew/muUBtsQDYfa3mKDpmziSWJC1QG6KPo4/RAq+bLbk2khxrGcWqaGKLmx0qkMWU8SADhZWFgorZELcQyCQylNeW6xZ2tJ9bzz1nsBBVUlWCWXtmYd7RecxzVC6T6yct7e3ZwsTNm8a7Be7fz96/hg1jOsiZAr3bwtlXdZ/eKA0y3AiEjvsEia0gQmydSj/F/80p4ZOfLzwOpVAo2OeLgwPTEdcY9FkPtXHw7kGE/xCOCZsNNwcBSGbipOhJ6Beq2+CnmTcZH2WUZjCkPgAddVqkZySeiRyN1zYkk/c0HbVr7e2hFqHYFwK9now+9yUSMjYXISbhFmGErtdQ91A09WrKBvFTGCO2qquJDREg56yRRh3UhhjuGa77Xf9BPCW26gFdOHaXkydP6l1OqVQydkVLE0/NuBMsoE6d/AxhICcDYerUqTwyBxCn2FKr1Yxiy1i+FsAntlq2bMn7d12JrdLSUpRqqsLckHqufS4hIQGXL19Ghb4BP8g+cX+L1NRUVFZWMmqw0FDhwZGpsIRCTRtcYotrneRuvxgYIrbo71ldXW2U/KzX8HgKbSsP93pM0lIt5OYS5dDcucxL1bHtUF5LjoVQFd1ebs9UWGmWAyIi2IqQqVbEsjLg11/J37a2xKLCCY6mxJONzAautq6YGjMVEurrr6wkBBN9cGpQcuMi1sWxHc7UajWWv9oOUmpbad2aqb4y9jVX4UkIo9gqSeUrthISmD+ZHAVDVq7iYrYbmKen6NwIgLWERHlxCEQO2WOfoTk/b98mNiqqzPvwQ4ztMxsbR2/UmzkW6BKI0vdKkf+/fP6AhkvimUJs7dvHfr+ZAzcdODiwKhKOehRvvAF4eOBy1mVsStjEvKzvWFJwrYhqtZooEajq1JSJ8s6d7N8CNsSUYlIECHYNNjq5o5A3Yc+xzGsnMPA2sJDriv/9d7xdvgVOC5wwZMMQBC0Ngv3n9oZbf3MQ0YNTJdZcD9R6IEqx9fbbbMX9zTcFJ7WGENMgBmOjxsLR2hFbErZgXxMpUd/FxTETxwUnF2Da9mn49uy3Jq1bCL6dyKREolaTrCNtcG2IUikwapTRddJJlDGLVaeGnfB2p7fRPbg7KvwEiM0RI3TUYdSG2LJBS93ljYFD+LTKJZOCjNIMtFrRCtE/Ret2ZwOI1YoW8UJCeB1RraRWWDVsFU5NOyUYvs3NEJrVfhZWD1+NjoEdURusIZarqoB332Wv2b59eUWLAo0yWCaRCTa20Auu2sUUKyK3gKOVxWQMWWVZSCtJI1l3XND7sELBKoVbtzaYUQSQ0HI6iTMUklzl6cmQPS1yRFpLL15kFYjduumERlNiq5Gr/qKDYIaQNtljb6832NsQ+asNR2tHyCQyQALUNNN0R8/IIKSoIajVrLpHLid5ZloYsXEEPBZ5YMetHTrvWcusmee7jh1Re19f4XeK00Z2WTa+P/89lpxdIniv/+7cd7qWU0qCVFcbz3YUqWLKKcvB4ZTD/JBvI7jgwRKVv3d0hPNCZ+FcMA20O1BzEdMgBo7WjiiuKuafO2LtiCdOsMd94EC9eYvaoF0Qf7zwI4ZuGIr1cetxLfuaDpkf7kHOr/i8eMGMMC5iA2OxZvgafNBVV4nvbOOMIWFDMC1mGioVnO/gKrYuX8aopqPwV9AcNN9wmBkXqYOCcO6990Q1XBECJShpx0ZLgGubNwkBAewz7Px5XVfI5s1sd8uRI0kxzAha+bZCa9/Wpm3HE4qnxFY9QCyxVZ9KFIlEgk6cfIAb5mb4GMH06dMZIuT8ed2buhhiq6ysjMlyEqPY6tmzJ+w1XvYxY8ZYlNji2ge5xJanpydjFzx58iRat26NgIAAHKJ5DFooLS3lEV8pKSmMagsAGpmoyOBim2ai7+HhgT4iKzOmwJ3TLp4SWyUlJWjdujX8/f2xljvQNQAusaWtNDPF2lnvii2AVFC4FW1ui19OzpZEqYTVoEF829isWajt3gXvdHoHL7R8Qa+FgHbbYXK27O3ZgWB8vH7LoxDWriUB5QCRKXN+T4AltsI9w5H6eiqGRwxnAysB4PPPdTo+hhXwuyJm3k/Ae3s4hPjSpQx5xii2nPUottw4ii09VkShzjc6+OsvttI9frxoQuBW/i2mWx03XJ078HbJLCRS78GD2XDZwYNJxy8jkEqkwh2jzO12KdKGCADdV3dH65WtGZWKQWjfZ+zsGHKSTsIAoJFbI6OKLXr+VioqiRrQnEBqtZq1tVpZkbbdWqCTC6r6EwNpY9ZeWB13Fb9tYwc3u8a3hXLEcMaCsOsO+a29HLzEq3u46krNs1R0xta+faz1MijIaPtwQziWdgwj/xpJAuvd3JjMjeTCZBxNPQoJJJgUzZ80G5uICEHSnHPNCJGWly+z98Xu3VnLjAHQSbs+dYBarcb5jPM8EqI6QGBZgd9vUvQk/Dr0V519FwXOfT8sg9xr8srzmMkKnfzx8Ouv7LX9wguC3Sj1gXZ9O5fBz1apaciOY9Q0IF8mI8owzvqpEtfdzl1/jpUQuGqXGzdIxy1jUKtJwDlArncTbWVME4d8LWJLaPzzyitGSbP7D+6jorYCVlIrNHIzMIaSSKDWnMOBD4A+biImfP/8w/4t0NGbZtUZmsQyjR4MEVvjx+vNKRKroAHIGJ8Wy0ojOYVSY6qtS5dIR0SAKL0FtoV2UvV2EM45oxbbOwVaXRi5+9q5M39MJQDapEG7oxxAwvFf3/s6Pj76MVZdWcW+wc0PNuSIqalhnzXOznq7DAPAoZRD6PV7L0zdNtXg9nKxtq0Nvo4Ftk/vhinYCgBYeWml3uUNWRGtpFaIDSCNwU6kceyIXGLLUIC8GTbEytpKZrx3KesSdtzegQmbJyBmRQwuZ/GzFZt4NIGD3AGVikrcKjCxUYwWto/bjl+H/cq/jho1YpV9ly6R/3OVTK+8AkVcHAq4zyUTQXMcTVFqGwOj2HLSr9b7+dLPmLZtGk7d43TnlkhY1daDB7xxMQBg2TL2bxHjhUFhg3Bp+iX8Nuw3o8v+F/CU2KoHREZGMuTA6dOn9QZwcyfs9WEVXLRoEfP3q3UYTBuCk5MTXn/9db3vi7EicjsiiiG2fH19kZqaitTUVHTu3JlHbIm1CeqDUHA8QAYRrVq14i1bVFSEoUOH4sQJ3c5R2sq11NRUxoYI1E2xNXToUCQlJSEpKQmOIkJcTYWQFfG9995DgkZts2XLFsHPaSOH5vlAV7HFJfYSErQGvVqo166IFLRDUd++wE8/8SfcHMVW4OHDkNCBo7c3GTh9+y0cbZywsPdC/Dz0Z70qE5qzdf8B5xylE+aKCjY81xjUatK9j2LmTJ1FKmsr4evoiyCXILaqP2gQO0H68082RFwDrwpAWcAS0ZWffgxvDTd7o3szMlDVwFguEzdjS+3hQdRWAJ/YEpNRRCdVgEnZLnQSDfAJHLi7Q63JzYsqsyNKGpo1EhUFrF+PClW14eByY6Bq2dJSfiMCfVAqgb17yd/OzrzfWQhXsq/gctZlkj9hDNr3mbFjmYkM/V18HHyQPCvZaKaLjZUNfhjwA/4a/RfbxttUe1NiIhsY3bWroE0lpYhVbIkGZz8HHUiFj+bUzunaGs1/+AuXsi6hqKoILjYuGBI2BADQ1q+t0JqEwR1Qa4gtUeevUsnvfqix8poLHXJcA0radWrYCanFqbwME5+vfeD+pTuSCg3kZWmDu79cdU9VFbkmp01jXxPZep1rsxLCyztfRvtf2mPon0NxJesKFCoF5B7eKOX+vJGRglkjTTyaYFrLaega1FXUtvDAJbYyqwCQ+xqdrNDJCwOlkg2Nl8mAqfzJcFlNmUElYGu/1pBKpLj/4D4uZ11m1BHWHNWhhI4Zhw7ld+kC6a4GmJivRUH3tapKV4kshIsXWQKzZ0+dAoox0A5dVGXFQJvscXERZc+lyq8m7k2MktJqzjlsFWdEPatWk4B8gBxTARVTcXUx2VQDKjnBAHkTVEwjIkbg2JRjbCdJI6CEUEET1lFgtIMe3U9Ar9LSWCdVmrOlo9jqyrn+RHR9NRQ03ta/Ld7t9C4A4LernAm7WLLnyBF+wcrAHIuq6GlkhBg4efji7X7AuKALgGbIR8kTbajVaoPEFgCG2OKRSmI6I6pUAB2TW1sLdhIVAjfPrZUvf26jTaxKJVJENyDbYqygVlJVgipFlahtYCCRsIXXrCwo7t+D+gJHKPHCC3V6bgJg7hdiVdpiwHTwddRPdu9L3odVV1fpkIV67YjXr5M8RYBk5nY145n2H8dTYqseIJVK0bEjaV1bWFiIeCEpP9h8LaB+JuwdO3bEli1bsGTJEkydKr4SYSpee+01HsHCndiLUWyZSmwBgJeXF4I0OQqWVGxxrXZ+WnaHNWvW4J133sGrr76KzprJZ0VFBQYNGoRLtMqgAZcgA4B79+7h9m12EFBXK2JoaKjo38pUaCu2Tp06heXLlzOvic3d4iq2vLz4AyQa+A+QTDpDeCiKLYAMIvbtI523uMeHTgDKyhC5fj37+qZNglYqfWjv3x79Qvvxq6DmdEY8epS1B3XuzB/oaTAicgQy38rE1rFb2Rejokg4rvYAj3Ms3NI112tyMoLXkM9WyYDB0TfZQFwYtyLSAMvy2nJinaGqrcxMJqCdUWzpyyhKSSGd5ADyO2l1ejUEfyf2nsAj3yQSSKgNJi2N/B4A1C4uhKR0csKpe6fQcGlDtFrBH+xp45vT32DQ+kHYm7SX/wYnwF+UHfHsWbYJQd++BrsZlVSVMANkYworALqTKk7ALQ07zinPYSYyxjCj3Qw80+wZtmEAd+AthtgyYkMENPZVmKbYQmM2y6gRJ7rD56OFaOgWjCCXIHw/4Hu82/ldbB+3HUmvJeHP0X8KrEgYF6zzUUEPi4boGRw2GPsm7sOHXT/U/8G1a1liqE0b0SSQPlByPONBBkO8KlVKpgtkekk6uq7uih8v/AiADOILKgsYUk80OGRP6QXNILumhuzD5Mnssba2JtZAPahV1uLkvZOoUlQZtVn1akQUFZezLqPVylaorK2Eq50b0rib/eqrJlnhRMHLizTFAOB5JwN3X0vGWx3fYiYrOsTW8eNsd9eBA5nPUnx85GPYzLfBvKPzBL/O0dqRCbhvvbI17L+wR3FVMeRNwnUXFiBBoryjsPXZrVjUZ5Hu8sZgasMHLglixCYoBNGKLSMd5ShMaWmvNmVfr19nCbxu3dhCDAfFVcUAoBMizkWnhp3wSbdP8GaHN9kXufvavj3QSv9zxcvBC12DuqKNXxu9y3AR5BKE7sHdIYmOYV80tK9cAk8qZTvAcVBRW8HEKujLOOwY2BEjIkbw1dAAeR6cOwccO0ZIWSOgOUs0L0wbo5uOBqClDOOOAyykYqLFRlo4EAPakTTKO4rJutOXF1peW87cr/URW029muqqwMPCWEJH33G9eJG9H/XuLbpjIFWiNnBsoNMkR0gxGOMTA4C1fevDlG1TYPe5nUH1Wo2yhrH2MuCMQ39YPg239mrG2tbWfMW0maBWREsqtsRYEelYVCfnj0tsnT5Nrs2EBGJDpxDxvFOr1Wapsp9kPCW26gmdOVV3IUUPUP+KLQAYPnw4Zs+ebXJXRVPg7u6OVzgDsG7dujF/iyG2aL4WIC5jSxv1RWz5ag1YGzdujIULF+LHH3/EwYMH0U+j6iktLcX777/PW1ZbsaVQKHjngaUytuoDXMVWdnY2XuQE4wJAgbEMBw2oYsvFxUWHkOISW0IWVi4eGrHFRVAQG2qtIbakixfDlmaOjRzJU9YUVhYitTgV5TX6M88+7Poh9k7cS2yBFOYQW99/z/7NyV4Rgo5VZdw4MjGj53bHjrwJi0+m5lr83/9gVUselotjgTQ3kq9AMSx8GMY3H6+3A5mNlQ1OTj2JpNeSyKCVa0fU5GIYtXLRbC2A2C1NmNCGuodi05hNODXtlO5vQCcaCgVjc9zZtQFjIbxTSAbRxoijy9mXsfvOblzP0SJ0TA2QN8GGSLfNw85DsBulDriTqpgYgNNV1cHagSGPeGHHpsDUiTK1hgAkp04AZim2/PxQI+cfZ2WgP5N95OPog5ntZuLdzmTQGOoeKk7xpoGzvRvi6Vw3KQmorESAcwD6hvbVqXbz8N137N9ff22SZU0Ivo6+kEqkqFXVMtaoQymHkP4gHW62bvi85+cAwGS9UNuaBBJBVYRe+Pgg34UweTbXE8ig+8wZ/vncvDmxCnsJT34B4Jsz36DLqi746tRX6BnSEz2Ce+hVRQwN50+EnWycMDxiOOxiNdEObm6CVribuTex7MIycdZcfaDncUEBQqpsIZVIWSuidkA2t7gxQTdMOf1BOtRQC9qrKNr7s00pJJCQya422dO4saB9ysvBC8MihunN/zMIUxSWajVrz9NDghgDJaDSitNQUcvJJDUxi4nCz8kPfUP7olNgJ6PLqjkFnxv7/zC8MJfA00OClFRpOncbILbCPMIwt/tcDArj3MfbtwfatSM28AULjG22Sdg3cR+OTD6CsG4j2PGKofvwzZusQrlrV8FrlxY55FK5XhLm2ahnsfnZzcLW33btRKtMDCm2AKLEBEjxhRZ04OPDZkdeuSJs91cqga1byd+2tkazOakC1hRiiyomXW1dsX4UuScwjVW0oFKr8GKrF/Fss2dZtbMWRjUdhQfvPsCvw35lX7SyYtWzd+6wTVe4MMOGCLC2V18nXx6x5WTtJDi2aOlLCMUr2Ybvs/SY6rtOEvIS4PCFA9qsbMNvvMOZE4Rdu48IOs2IiTE5k1II9WFFpCpkQ1ZEf2c9xFbr1uw1++uvgJMTKYrSLp4iO4rmVeTB/gt7RP8UbdF9+zfjKbFVTxBDbNW3Yuth4u2330azZs3g5OSEzz//nHm9PqyI2vD1ZTtS1FfGljZsbGywZcsWhgRK1PJIaxNbAHCUdhZC3TK26htcYmvJkiU6VkExxJZSqcQ9TY5DkECXI1dXV4SHkwr11atXedeCNiixJZFIIDPQBtyikMvZrKTkZCArC9LFiwEAaisrna5cf1z/AyHfhmDa9mkwCWKk5lzk5rKEj6+vQbWEXrRrR1Qkf/5J1hXGtqT3yy4nQaSawVK2A/B1N1Lp4tor3u70NtaNXMe3+WmhU8NOCHUPJV1aBDojOlg7wMfBR/9EgUuCmDGpGhk5Eh0DO+q8/sCP30lMBWBWo1tMRfVSJlFftvAxnA9C81S0s3LqRGwNGGBw0d13dgOA4H4JoksXdvA0Z44OOUiD2mfvnS1qdekl6diauBXH046TF5o2ZckaYxPlwkJWgRcezlNZcTGz3Uy83fFtxDSIEbVNAACpFJWB/MGldMo07L27H/OPz9e1zJgIbwdvxFGhkb5AdW1cv85mwLRtS5QgdYRcJmeq6dQ+Q22IE5pPYKx4tJsfzcrxsPcwuVvS/cZEWWpdWk7C0i9cYN/88ksygTZyXVL7hUwqw6phq3B48mFmoK8NWytbnfDb6AbRCP1tC7B4MXD4sKB1ddedXZixewYWnlqo855oCBA+glbE6mqWBHFwECRnxdiaaM4WQCaAUomU38UUIOrKOhKhOhBr4wJ0VUwGCEx98HLwgoedB9RQ43bBbZTVlKHjrx3xctxCNtupTx9yPxCBZ5o9g30T9+GtjsZzENG0KVQy8vvJrxu5D3OJLT3P1MOTDyPjzQy2M6kBqNQqSOZJIPtUhnknPyekcEkJ0KOHwc/9evlXLLuwjB9XYACMO8LWlv0N4+OJulIIIgg8br6W2OYd5oLJ2NKj2HK2cWYUnoKqraIiYbv/6dNs+Hb//kYDxymxZYoVkaq08ivyEeIagijvKKbrn9B+rByyEn+O/lPvb2oltRJ+j44R1Wrdpg/cRgBSqSiVHEVsYCy2PrsVc7vN5XX61EfS0MYcV7KvGOxkboysDHELgUqtQlFVEb9owMmA7XKMzSPmEl51QZR3FPqF9mPyXy2BneN3Iu/tPEZZKARGsaXdwMLeHoiNZf/NjQaxsiLdYkWo7xLzE1GjrEFpdan+Dp7/MTwltuoJLVu2ZFRYJ06cELwRPAzF1sOCl5cXrl69ipKSEsTGxjJEXX1ZEbmQy+VMhlN9WhG1YWdnx6jFcnJyeMdY24oIsMo0e3t7NGigK/V9XMC1ItJttrKygoemA1pBQYHBBxtAAuFpNpY+Eq9dOzK4r6mpwXUDk2J6nTxM8nflpZVIdNVUP0pLgc8+g0TTDED10ktsCK8GVBnhaWc894TXcSY8nJWaiyG2Nm9mQ+anTNFrW+u6qit6rOmhP1fHw4PYojw9efsSkqeAcuUK5t8f9AKGtyVVI14grqkQCJBf1GcRsudk443YN3SXLy4myjKAVPe5xFgdUakVSL09HEh1A/Nbnc8kahfu5FMIXRoSJcmJNK37uymdEdPTWUKobVujIdybE8ggdkSESEIzJIQEfR8+LKguWTVsFaxl1vi0x6eiVrc1cStGbByBb89pOu/Z2bHE6M2b+idUAMkRo+euAQvvxBYTsajPIt5gWwxcmvKtqpKpU/HV6a/w0ZGPMHXbVKbhgTlwtXVFvA9nuHTjBs5nnMcvl3/Buft6rNRr1rB/T5li9ndrg6oK6OQ3ryIPMokMo5uORoBzABo4NoBSrcSV7CtsVo4eS5EhFDfl3LcvX+YTW/37i1JQ0kYA+pSd2lg3ch087DzwViyHuPDwIJ08BSzXAKsgoFYZsyCgPKSKLR6xtW8fmUwDhAARsM+JsTVNjp6ME1NJwZNRdjk6osCZ3M+V1nK958yJtBPYELfBPLK2YUOWULJAFpMYxAbGIjYgFtWKalzMvIgz989gxY1VRFHzzjvA6tVmr9sgbG1R3YScw42yqtgmJNpITGSJ6o4ddTpuUtjL7eHn5KdXcSMElVpFOs9KpQYt5hRfnvoSM3bP0LVpGUFBRQGULTRFptpa3TBqCjHElpF8LQq1Wo3M0kydDnqmwBgJArCqLd75zr0XCAXIc1VMIs5dSkZTq7cY0Ov2ctZlNHJrhLhX4rBx9EbRnxcNQ50R4+NZBV6XLiaRzw0cG2BYxDD0a9yPp9jS1zAgyjsK73R6B8sGLjOYP2rsmNpa2TIZbbwxZUgIUeUCcCrjjCMsRGzNaj8Leyfuxfjm4y2yPoA4IjztPYUbCWmgV7EFEKXW9OlEWR4WRtSdS5eSyI5Zs0RtA1W4mzpeepLxlNiqJ8jlcoRpBvz3799HmkAw9JOk2AII+SGRSCCRSOCpySgwldgyx4oIsHbE7OxsKMV0+9EDQ1ZEIdBuf9XV1XhAu9RBWLFF0ahRo3qvhNUFXMUWQKqCv//+O5prJNE1NTW8jo9CEBOUT4ktwLAdkRJkD+saUalVeGnnSzgk5VyzP/8MAFBLpVAJdM2jg0FDgb7pJelw+9INHos8WCJEjNScC24nQz15PQqVAqfTT+No6lHYWYmwIDdqBLVGGTBU1QTS3UQKXW1vA+fnX2UIHDoIKakqwb2Se0Zlz8fTjuOjwx9hW+I2PrFlpFkAAEKCKDTrHzrUork63JBmAPhO4wq6mHkRpdWluJlLyChj4eJt/NrARmaDvIo8/qDbwYFVXxjrdrl7N/u3ERtiSlEKruVcg1QixZBwYRufIFq00KsUmBIzBWXvlenYwPSBdiLjVc9pZkxNjWHVlggbYp3Avc907w6EhDAZP6fTT2PBCfNtQBKJBPeDXNkXbtzApvhNeHHHi9h4U2AyU1vL5LfB2tqsfCJ9oJMvqjI48NwBlL9fjk4NO0EikTA2t3P3zxntbmYIymgO2cMltuzs+DlyBkCJLbG20nDPcOS+nYuv+34NgOQa7bi1g9xD9IBaEKlVxiwIKLYiPCPwWrvX8EKrF9j3uDZEgbBzhUrBqBAMTZJtrGwYaxtXrbJxZBgynIDzs0YRQk8AKy+vxPjN4w3+JnohkbAT5YwMw51MRaiYxGDHuB04/fxptA9oz7PtVnVqT5TPRgqIFDXKGiaTSSykLcn3yVVAzfWrwguZSIKIgQQSHHzuIAB2oi8GxnLohDBkwxB4fuWJ2/4cwk3IjnjnDqv46dAB8BdWTvo6+eKVNq9gZIRhW1u7X9rBf7E/TtwTdqSIwdzuc5EwIwEz2+k2wKGI9IxEI7dGUKo543pDykOuisnKymgOapWiirlPmmJFbOLeBBJNajxv2/R8R0lVidEspAUnFqDpj03xy+Vf2BcN7auZNkRtcO9VMomwstfGygYLey/Es1HPGlT/iiErqbKNNoMAwA+Q56Kt4XGYpXH2/lmsvrpaN2LCTHAVWzqCgLAwYMUK4NAhEtFx9izw+usmEZSUMDNFbfik4ymxVY9oyhn8CdkRnyTFlja4xJYxdQ83Y8vcQHRKbCmVSl43PlNBlVZOTk6iOg76cBQW3O81RGw9zvlaAODh4QEpxwKxcuVKjBs3jlFsAcbtiHfvshVHffvbvj2bM2KI2HrYii1avUviPpc1JEtuTAwQoPsASSshJJihKqeXgxeKq4pRqahkJPgA2IGLWm2YGMjOJqGsAFFZ6WmlnVmaCaVaCblUbtD7z8DaGhKN7dIh/g4kmiBzm8HDsGTojzqdnnbc3oGgpUHo/4fh3IqjqUcx/8R87Ly9k2SW0XucvmoyF/VIgthHsIG3Sb42KO3UGkmvJWFc1DhczroMNdQIdA40+tvZWNmgfQA5h3UG99SOWF5uuNulCflaCpUCz7V4DsPCh5nXEU0PjHUX44LaM+Pz4tnOR5zrGPoaQSgUbOdHV1eijBBAWnEaTqSdYPKjTEFlM5awTB7RHQAbXg0AfUP7mrxOLgoacc6HuDjDGXF797JWmKFDAXf9g3xTMaPtDPw1+i8eGWljZcPYEKjS8HzmeXLtwXAGiD7Yt+d05zxwgDRzAAiRaWXc8lBWU8ZMGE3JS+Nm4qUUpWDon0Pxyi7hDKaK2gqGVDbJuqqNiAh2nzT34GDXYHw34Dt20l1WBmzfTv728CAWOi1klWZBpVZBLpUbJRPpM4DbZa/952uQdP0oQud+q/dzdeqKCBhWgFCIVDGZCkdrR+b4mkpSXcy8CPdF7mizUryCw7o1WzwrOXtUeCERKqZqRTWmbpuKN/a+wTQ9MQSJRMIUAcQSWxW1FUyOlL7OoULwtifn2RkPjpVJ6LiKJEFiGsRg2aBl+KjbRwa/l07YeUUOE+Fq64oIzwi99mQAWDF4BZJnJWNii4nsi9wAeW3F1uXLgCYGA716sQpFPVCr1fh5yM+Y222uSTmEXg5euPHqDaS/kc7rjCukZtp5eydcv3RF9zXdDa6zoLIACfkJvK62vHGeNrHF7VAu0MnTELYlbsOfN/5EZmkmrKRW2D9xPxb0WoDX2+vvcm8MlbWVzLjA0G/Z2I3EECQXJfPf0FJnKexs+EXRh4A/b/yJqdumYn3ceoPLZZZmYvRfozFn/xyDy9Fzu7y2nM2JsyCoxZHbMOm/jqfEVj2iGSdr5RidkHLwpCm2uKDEVnV1Ncr0qFCqqqqwePFiLFmyhHmtrootoG52RKrYMmZDpOBaCrlkFiXIhDKhHud8LYBYJefMmQNfX1+sWLECL7xAKtamEFtiFFstWrRgzvvHidiiAd1JAs/ltN66+RrlNeU4knoEAGtPE4KtlS1jCeLZokzp8kPVP2PG6FUx0XUHOAfoBqfrAydni4Emr4HaiHLLc5FbnssEpBqT7fO6wchkbAZIUhJQW4vZe2ejy6ouOJB8gP/B2lpWyeTiQiT2FoRNsxbYHiFFiQ3g9MPPOPfieYS6h0IikTCh28ZsiBSdA8nk/+S9k/w3uJNHroWLi6oqUqkDiAXRQLcsgFgyfh/xOzY/u9ngcvWJAOcAeNh5QKlWMso2XncffcTWhQts6/U+ffTacv66+Re6ru6KN/YJ2FONYH87dyzoDLzfE9jfnjx/uA0AeoQYzrcxBqmfPwqoAPLyZVRrBvDcSQ0Drr3KgjZEAOge3B3PNHtGL1nEEFsZ5/FOp3cQ7BqMWe3E2Rq48G3Wnt1f7jkssoJO7xOutq4GA7cNgX6upLpE8P1b+beghhoedh6CnbxEw9qatRAnJgrb1rZtAyo1tqsxYwTPYaqi83f2N3rv/SeeBLMfTjnMvNbarzW6BXczSIpR2zvtymYyjNm4AIvZELlILU5FcVUx052TdhkUC9oR0RTyQcJ5ttZeFrgPp6QQIgQg91+aq6mF4qpirL66Gt+e+1Z0IYBuZ6WiUpRdL7kwmfmcKddLlyDyfNxqw8klqgOxJRZhHmTMUNf8QmMQdDeEhgK08Kw9ZhJBVHJhJ7fDC61ewCfdPzHZSdHUqymjlHlz35twXeiKZReW6SxH1ZnGOtMKdhF1cmLVyHFxJBgfIOcuvX7btCE2YxMw/8R8jNs0jskU7RPaB+92fhcjIvWrM0urS7E/eT82xW8SfJ+SuDKJDE7WTnrXQ21zOsSWlmKrpGmoqCKKGHx+/HM4fuGIt/YZzuejRTUvey9svLERFzKEx29pxWnYlLCJuY/rg73cHndn3UXlB5W8IoalcL+UWN+fElsszCK21q1bh0mTJiE6Ohre3t6Qy+VwcXFBu3btsGDBAr1Exn8N4eHhTDfCnTt36ljknmTFlhdHSilkR6ytrUXv3r3x1ltvMSSJm5sbY3czFZYgtkpLS5lzV4wNETCu2PL39+dlVgGPv2ILAL788ktkZGRg+vTpzGvmElv6iDwbGxvEaAbZiYmJPEsqF/Q6kYvIqLAEYgNi0cq3lQ6xpfbyQrbApG5v0l5UKaoQ4hpiNHCckkS8h6WYiQbAtyGOGaN3MTqhDHLVDe3XC63MMJVMijvtGkOlVsHB2gFHJx9F5puZ8LL3Yoizhs6GB1J0wMdkC9DKm0IBJCfjWs41nLx3UreifeoUS4IMGCAqm8QkSCR48XlPuL4LZHdswZuAdg3qivc6v4cxzfT/vlx0CeoCV1tX3Q57XLLnzBnhDx89ClBL78CBlg+KrgdIJBLd7kjR0WzXIn3E1v797N+abrJCoANd7fbjYuDm2gDv9wYWdAVCPcn53Ce0D/qG9sU7nd4xm1yh6BAYi6QIDeGQlwePVDIAtrHSenYXFrKKQx8fg/tbV7x78F20/6U9/r75N/NaW7+2+Lb/t1g3ch2a+zTHrZm3EBsYa2AtwghwCUR8oMC4RCSxRRsT0M6b5oAes4raCkYhxwUlO2j3vTqBhjQrFIyqNL8iH9eyrxESxogNESAdxSa2mIghYcZVpnO7z0WEZwT+ecbwxEgbBZUWVGzpK6SYSA4YQm55Lpp83wQh34bAY5EHo1QzldiihJ5J6kPOvloJBciLtCFSYtXZxll0scjZxpmxdfEU2npACSKaPyQWtJi2t+wq1JqsWVy7xu8WmJ4O0OJhdDTftq2F7LJsFFQUGMxR4m4nLQSagy9OfIFPjnzCqORFQyplr9e0NHLPBcg+03NXIjGr6Yy5UKvVKKkuEcxypEodfV0mKSK9CLFF72sM6HlcUUEaaRQUAO+9x75vhlWYdkU0pSBwJfsK+v3RD2/uf1PwfalEiknRk/Bs1LMGSUL6fKdkLgNtxVbLaFgKCpUC5bXlqFQYJpkpsbUubh3GbhqLF3a8IGghpdmLNIvREELcQkzqwmwKGMWWAdXjfw1mjaSXL1+OP/74AwqFAq1atcIzzzyDNm3a4MaNG3j//ffRsmVLXlbRfxU2Njboo5Gr5+Tk4OzZs7z3/wuKLUCY2Fq8eDFOaTpkSSQSTJw4EZcvX9bJdxKLYE6lTbuLn1iI7YjIhRCxpVAomG6QDRo04G0b8O8gtgDdShmXoCssNCyvp8SWTCYT7IpIwc3ZunjxouAyD1ux5WDtgNGRo5HiCqg4P4FqwgSoBUiWLYlEDj4iYoTRil/nhkThw7OuNW/Oqq/0TTSystgw9fBwNpdLAAzx5GJCBU9LsXU8UIWw9R2Yh3e34G7MhOJ2IRmAGyPO6IOW6fDElZTfuMFYOnQUL/WdxQTN4EXCTlh+uvgTnvn7GdjJ7fBFry9EE1t9GvVBwf8K8NPgn/hviCG2TLAhXsy8iKvZV43auh8GaEg3zTaCjQ2rOrx9m51kcMEltvrqtwRSYovaeEwBV8lBP29rZYt9E/dhYe86dMzTYG73uWg//m3m36Fx5LzWOX83bSKqQwAYP95iFWeKspoybEnYgt+u/IZzGedwPuM8b7DuYuuCWe1noUNAB+HtEwkrqRW6DBewpYgktvyd/DGz7UyDHaOMgTsRpKoHLqiygWs5NRsCOVuD1w9GzIoYnLq0lQTHA0BgINCpk+Aqmvs0x9oRa/HdgO+Mfl1MgxgkzEjAqKYsoaJSq/DH9T8wZesUlNeUC36OWhFpVzaTERnJEtFCz5u7d9kCS+vWelVMYuFh58EUW7gQQ/ZwQVVPonIjKdzdkedJsqdcElN08w45BN5Uq516yRxKwplCjkskErjZucFebi/KgsQQWx6mEVuN3BrB19EXtWoFisI0z/y8PBJdQGFCjtiLO16E51ee+PXyrwaXEwx1NxHfn/8enx7/lCEthaBUKdFlVRd4f+XNZJkC4BO0O4nlGmfOkGcQQJTeRpqxAEBcThwOpxxGVqluwydTQMdbNJaCC7HEFiXo0x+ko6yGIxDhOgX+9z+gQQNgoybbUSo1WVWpUqsYYssUojjahxBN90ruMfchLnydfLFm+BqsG7nO4HoivSIxOXoypsRM4b8RFMSz7fv0MJyPZgqoVb9WWWtwOUpsvRX7Ftxs3XA95zppAKEFmqVojs3fkoj2iUYbvzZ1KiA9aTCL2Prmm2+Qn5+PmzdvYu/evVi/fj0OHTqE9PR07bToRQAAYWRJREFUdO7cGUlJSXhLIGD5v4hhnIrBFq4fGk+2YotLbOXl5eHatWt45513cPToUSQlJWHu3LkAAKlUiiNHjmDt2rU6BJApaMNh+g3Z2gyBS6z46wnW1IYQsZWbm8tMQBs0aIAQrTbe/xZiSxtiFVtqtZohtho2bGhQaSUmQP5hh8cDwMx2M1HwcRmkAazdTqXHUvROp3fwcdePMaGFbtc5bdDqKs+65ujIEktxceykmItNm9gKrAEbIsAOrIJcTFBsaRFbW8OJ4oorbz6Tfgbtf2mPo6lHARhX1dDPFlYWkkkJtxp3+jSqlYTY0lG87CHh9ZBKSfe1egD9bSgJuO3WNvwT/4+updAIZFKZcAXfw4P9TS9fJrZDLtRqltiSywXzerj46vRXaLmiJZacXWJwuYcBHcUWwM/Z0r6Oi4tZJVdkJCEG9IB2AzNHscW1b5l07puCbt2YP8NukIGtTsYWV9kj0ImyriiuKsbIv0bipZ0v4Vo2sRzRHDyLQ9se6+oKNG4s6qMtfVvi+4Hf4/0u75v99TIpa2kRsiPO7jAbx6Ycw2vtXzP7OxgY6IzosH0vawEaN67e1JUSSPDh4Q+x5toaHEvTja+oVdYyv4PZii1razYDMDGRtVdSWDhMXSaVoVbFPtN6N+oNbwdvo81HtEHJW5OILQAObQkJaVNRDaSkIKUohZAGmZlM0eGGF7C68gy/AyYH5hBbAJDxZgbK3y8XpSikyqcwd4FYAAOQSCRMwSzRnzNG4pKWJhxTSh4Zy4ijVsTkomRBNaUY0Jw1pjOoAGRSGe6V3ENeRR5fHcZ95kyeTBqGdO3KviZSafjTxZ/Q6/de+PHCj6Zsug4osVUXxZa7nTvzu/NUWy++CLz6Kvtv2ljHwQFYuZKNeRCJwspC5vozpbGIi60LQ6DUpUu2n5MfVg9fjXc7v8t/QyLhF04s1BERYIkthdrwfYcSW828mzF5Y1+c+IJXVDx17xTOZZAxjZ+jcRHE1sStmLptKjbEbTBr2w3h12G/4sKLF9Dcxzy305MIs57O7du317FXAWTi+8UXXwAA9nMrtP9hDBo0iMlZ2rx5M+/i4BJbT5piS9uKOGbMGCxatAg9evRA27ZtUaWZ6L3++uvoxpksmIuwsDA4O5OHhrnE1qpVq5i/BxlRUFAIEVvcrC1fX18eYSeVSg0qmB5niCW2CgsLmQ6Rxkg8LrF1QU8W0cNWbM0/Ph+/X/udEC+TJpEXR4/W2wmsuU9zzOsxj9fxSR9iA2MhlUiRUpzCSIgBsNXH6mrSHUUbIm2IABn4+zr6mja517IiJsY2xsbRGxkF2r2Se1gftx4XMi/A0doRn/X4jMn20AdXW1dmEpJZmskPDD95Ujh8Oz2d7ZrYvr1FQ7e52P/cfqwbuQ4TmhPioZ0fOQ8/PfapYCVSDEqrS/kvxGrsX7W1uhbTxEQ2jLtLF8DZ8IA3Po8EOVvEclVH9AjugQ2jNmDN8DXsi4Zytg4fZkkBA7a8WmUto+wwp3W1t4M3to3dhkOTDpkUiG8SWraE2okQLRHxuYBai5jNyOA3eDCSm2YOfB19IZPIoFApUFRVBKlEahnFkhC0t79NG4t2KBUDSiYIWdfc7dzRNairUQu4KAgotiixFbz7NPveeP3t4vMr8o0qAgxBIpEwTQ50sgfBZthIIKmbtZY+b1Qq4IbWBLUe8rWoLb2hS0MceO4AcubkiO7ESsEotuSmEVv2bVkbbtKhfxD2QxhG/zWaF7y9SfNo16c+oueeqRk5pqglv+z9JY5NOSaqQKYNWjA77Mx5dn37LVFu7d4N0OZV4eFslpwe0IYPhhrhAOQ+5CB3AAB+2LlIVNZWMsUtY7lpjO2RG1Q/bhxf/XvsGPuciYggZJcI0Fw8UzoiCoEq2IXUiZSMNpaxBbDPeB6xJZMBP/5I9pGSWM88Q8YRzz9v8rZStZaHnYfJil76bKZWcy644fFm4733iEr05ZeFs1/NBB0TGCLUVWoVr5Pwa+1fg4PcAddyrmFP0h5muQmbJ+CP66TrsRgr4uWsy1h9dTWOpx2vyy48hUhYvOxkpZHdP2kKJHPh7u6O7t27AwBSUlJwndP1jGtFfNJ+L65iKz4+HrdvswMGmqUUFBSETz/91CLfJ5VK0VbD9GdmZpqcs5WWloZDmiDnRo0aoSu38mMAQuHxXEujtmIrMDDwX0tiiiW2xORrUTRp0gT29sQqEE+7MHGgVqsfKrFVq6zFvGPzMHPPTFTUVgDz55PKLpdYqgOcbZwxKXoS5sRqdVIx1OUnIwM4qVESRUay1XY9WNJ/CTLfysTzrUwY8DRsCIUjOQ6FjQOw66NEdAxkiShXW1ekFKdgdvvZSJ6VjA+7fmg0a0QikTB2xIzSDKJiouTglSuQlpOJCo8YoHYfoF6zicI8wjC++XiGuKOB2znlOXj7wNuGPqqD8xnnEbQ0CJ1Xdea/YciOaGI3RDrhqjcCwwT4OvlibNRYvmXGUGdE7jE1YEO8V3IPSrUStla2ZgeBDw0fip4hPc36rDEcSTkCp6/ccFrj9nEvrsa+9t+jdyOOTWTjRlZZOW5cvZBAMqmMZ39o7N7Y5Mm+WPxedgqlNpx9MKH1emJ+Iooqi+psnzVEbFkUDRoAdNxy6RJQUABfR18EFgPBNzQZQJGRervRAsCg9YNgM98Gu+/sNnszKLG1/65ucdjJxgnbxm7DmuFrIJPqNqYRDX05W/fvk5bzALG7W2hi+c8z/2BA4wE4+NxBs9dhrmKLu69eCWlQqBTYl7wP1X+xysrNmtuqvg5/1AZb15w+Q/By8ELXoK5m2bAntpiImAYxGPzCIsBWk+Wzbx9Rxw4axN6TRo0yek/ihmcbgkQiwVuxb2F009Fo7dfa4LJCEBs0DugJqreyIurun34iAesAUTB99hlw8aLRbogUNCqBkq/mgiq2ssqydDpnilVsAUCrBq0Q7RPNKIx46NqVdCstKCBjUoEO3WJAbZfm2OioYiu1OFXnvR/O/wC7z+0wbds0o+upUdbgdsFtNqqCols3NJhRCYfA33ErX6DIaya4VsS5R+cialkU39oK8LLlvOy94G7njlfakI68X5z4glku3DMcUd5R6BrUFc9GPWv0u3mNlCwIlVr1WMRTPG6wKLFVWlrKWMyGDjWtGvMkYwQn2I9rR3ySFVtcYuvAAbbySNVrUqkUP/30ExxpZxMLQIytTR/WrFnD3CCmTp0qujuKl5cXs6w+xRaX2Pq32hAB8RlbYjoiUkilUoRrKlDJycm8awIAlEolc1weRnh8anEqFCoFbK1sMffoXPT/oz8KXW0EB4MqtQozds3AloQtJlXpVw1bha/6fsUPezQU6GuCDdFsyGSwWrUGGDoU7mv/1pk0Ods4Y+f4nVjSf4lJ0vV/nvkHSa8lMXk/TDaNQoHIFKJw4im2HhKxpY22/uyEPdzDNFm/t4M37pXcQ0JeAj9kNJZVCtSF2EotTkWNsga2VramNQR4mAgJYUmB8+fZ81WtZo+ptTXfKqIFakNs5NZIfDfPhwgnGyeU1ZTheBB7/fVNt+ZPRDdwrAZ6AsYtAa66oN5siACkMitc8eEMnE2whsT+Ggv3Re6M2tBcfNLtE6wdsZZpvEFx/8F9zNk/B2uvra3T+hlIJOz9qbAQ6NULoVX2eIUb/Th+vMH7b3pJOtRQw8fBeLaPPvQM6QkJJIjPi+erekE6bA0NH4rnop8ze/0A9D9vuHEZFlJrAUD7gPbYPWG3yflRXMQ0iMGw8GFMwLZY5IWxk3+Xb3/ChpO++H0zYHOcqPCS3IDrmsNlTLFlKrG14uIKDF4/GOvj1htfuA5ws3PDpemXENNuKLkH0bEat7tn+/bAO+8YXE+VoorJdjKm2AKAeT3mYePojWZtM81Yc7V1NTrepootmu/JQCoFXnqJqNzXrweSk4EPPyQElwio1CrG3hjiVreMIi97LyYgXJus6RjYEWOajRF17i7pvwRXX76KsVFjhReQSuusZDcnOJ6CEltCiq3L2aTDqJh819l7ZyP8h3DBLpJlNWWoqK0QJvfMhFxK5g8VtRWYd2webubdxJpra3jLONk4Ye+EvVg/cj2j8HojlnRoPpV+ClezrwIA9k3ch7hX4nBsyjFRRDSvwGtBbE7YDIcvHDDmb3GZsP8V1Oms2b9/P9avXw+VSoWcnBycOXMGpaWl6N+/P7788ku9n6uuruaplahtqba2lsnT+beD7kdtbS0GDRqEmTNnAiB2xA8++AAAUEE7YoEQPk/KvgOAiwsrub1M2ymDNB7w8fGBp6cn2rZta9F9bs1pFXvmzBkMHiwueFClUmG1pj27RCLB+PHjTdouDw8P5OfnIycnB7W1tTy1mKenJxpzMkmaNWv2rz3Ozhy7VH5+vt79uHOHrXoGBQUZ3d+wsDBcuXIFSqUS8fHxaMZRJHGvEblcXu+/XUIuscE1cW+C7be2I68iD8kFyXDyceJd0wCw4tIKLLu4DOtvrEf6rPS63U2bNQOl7VRXrkDJ2U/Zxo1MBaJ2+HDhDC5LYNgwtouQhb6jqYdmMqoCalW1kHToAKuffwYAdExTYae/A2TQ3PsUClgdOAAJALWbGxQxMfW3r1pws3aDk7UTSmtK0TO4p0nnmY+dD2QSkiNzr+geW/kND4eVoyMkZWVQnz0LBV1nURGsTp4k+xkaCkVIiMH9jMsmNo8w9zAoFUoooduh52EjPi8ee5L3IMApAM82IxVLWbt2kO7eDRQUoDYxkWQx3b4NeRqxZqg6d4bS2lrvvoa6huL7ft/Dxsrmod0jta9pQ3CzJjkwu/zLQftRqY4cgXLqVPKPO3cg1+Q0qmNioAgNrbfzl5t9F+kRWW+/V4BjAPY1BrreA9QODlB06CBqn4qrihkywM/Br07bN7QJWyTlrufC/Qv45sw3aOHdAmOb6pkEmoovvoDV+fOQZGUB167h2f5vQcLh9WpHj9a7/zXKGmbC6GPnY/Y+O1k5oY1fG1zIvIC9d/ZiUotJZq3HIJo2ZZ436q1boZw4EWpfX1j9+isoxVA7dGi9nL9/x/+NFZdXoHtQd3zY5UPRn3sx5kW8GPMi2TYD26V9TZf4uOFQM2DsTQBqNcYe5IeEr2xNrHwn0k/gVsEtwXW/3OpljIkcA6lEatJxvZl7E7vu7EIzr2Z4JuIZvcvdKbyDX6/+ipY+LZn7qTlQQolf/bJx9cuumPt3LhrsPw11kyZQzp0L9ahRhBQxsP2ZD0jGmFwqh73UXvS+JhYmYuXllXCQO2But7miPpNXStQybnZuRr+nkSshD27n3xZe1tOTxEUAJp2zKcUkb81aZo1gp+A630d7BveEWq1GVU0Vb10zWs/AjNYzNJv36Mf/XQO7YtPoTXC0djR5ewKcyPgmpTCF91mVWoWDyUSR2b1hd6PrDXYJBgAkFSTpLEstqlK1VOd6Nvf387b3RqeATrwmJMWVxbz1ySBDz6CevO/xsvXCS61ewu/Xf8eDygdmfb+3HSkGZzzIsOjxv1d0D5WKSihVysfivKpPmLJ/dSK24uPjsWYNn/EcP348Fi9ezCM2tLFgwQLMmzdP5/X9+/cztqQnBVStFBYWhtu3byMuLg5r1qyBl5cXrnIqZfHx8di923z5+uMGfYqeyspKqNVq5OXlWXx/KUEKAHv37kUnPZ2LKJKSknD58mUUFxcjRZN3Ex0djbi4OMTFic8MoOdsVlYWdu3ahXMcK87du3dhZWWF6dOn486dO4iJifnXHmelkp1QJycn692P48dZH3lmZqbR/ZVygng3bNiAjpwspvJytjNUSUlJvf9223O3AwAcqx3hpHZCHvKw7fA2ZLqwobIHDhxAQU0B/pf4PwDAaI/ROLT/kEnfU6msRGJ5IiIcImAnI9aKvu7usCssBI4fx5klS1AUHg7b/Hz0O00qyw8CA3EkLY20t9aD1MpULEhZgEZ2jfBOiOHq7KOAfW0taEz62IwABDWbi/SL6UhHOtwSE9G1hAw6Mps2xUWueush4OvQr1GsKEbmpUxkwrSuvp5yT+TU5ODPvX+iqSOrLOkYEgKvuDhI7t/H4d9/R5WnJ6J//BHBmvDXu5GRuLFnj77VAgC25mwFALjUuDw29459+fuw/P5yxDjFwCmN2EDCXFxA69F3P/kEt0ePRuynn4JqdxMCApBkZPsDQZRIuzMe7n5yVcX6UK0ig+1zDZSotbWBvKoaD/btxJata+EhdUHbr74CNXbER0cb3de6oCafVbbW3q+tt/MivyYf38QCGc4STOr8CUr15CBqI6WSPE+dZc44frB+ckXq67pw+PBDdProI9gVFkLCsXnktGqFs7duCWcgAsipzoEaalhJrHDh2IU6qQ6DlcG4gAv4/dTv8LzPqt/TKtOQWpWKQJtANLI33bLGRZfwcLjfugVJZiaknTtDLZNBopk8lPn54VBaGnBPNwi7rjiadxTHM45DUaJAq1LLZ9BR0Gu6VlWLCaOAy77A/KNSWCuI1ajADljQGVgcC7yC5jiBE7h676pFz6X8bNLt7+qtq9hdoX+9x4uOY3HaYjR1aMrcT83Fn2l/4ljRMVSOmoRnJ76MWkdHQmjt3Wv0s8kVRG3vKHXEHiPPJS4SyxPx7Z1v4W3tjXbl7Yx/AMD5EuKqkFRJjP7mGVWkWHwr/xZ27dol2lEhdhv85H44sM/4M8AYpjtOBwAknUtCEpLqtC6lWgkJJPWmXpZBhkpUYne8aed7dU013mj4Bvxt/XnHLbkiGfmV+bCT2qHgegF2xxleb1ExUexdSb3CW49KrWJysE4ePQlnK759U8yzWghWsMLbnm9DpVZB+UCJU8WncOLmCewuM77/PVU94RLgguyr2dh93fT7Q3FtMQASdbFt5zZGPVZXnMgk2Xk1+TWPzdiwvsAVORhDnYit2bNnY/bs2aitrcW9e/ewbds2zJ8/H3v37sWWLVv05hS99957ePPNN5l/P3jwAIGBgejbty9PFfJvRm1tLQ4cOIA+ffpALpfjwoUL+PzzzwEQ2+HAgQNx8+ZNZvn27dtj4MCBj2pzLY7q6mpMm8b3WdvY2OCFF16oV0vZxx9/jPv37yM1NRX9+vVjrI/ayMnJwYQJE3jECQDMmTPH5OPw7bff4t69e6ipqUGXLl3w+++/M++NHDkSDRs2fGKOrYuLC0pKSqBUKnX2KS8vD56envjmm2+Y1yZNmmT0mq6srMQGjYXH3t6et968PNYD7+fnV++/4969e4FMoEuzLkjIT8Dd23fRIKwBBrYeyLumx20bh0pVJdr5tcP3z31vct5JixUtkFiQiK1jtmJgY7JP0ldfBebPh1SpRJdly6A4fx7StazNxmHKFKP7v+P2DuTcykGAR8Bjcc7F5cbh7/i/4evoS7IK1Gqo582DJCsLXsnJGNivHwlGBSDlTJp9Jk9+LLZfLCKLIpGTloMGkQ0wsDm73dKzZ0mnSwC97OwApRJWmoGZ2sEBDb/+Gg2N5NBt2bkFyAJ6NO+BgV0ej9/EM8MTy9csR4YyAwMGDIBEIoHE05Ox4oX//TfCLl6ERFMwUHt6IuyzzxDm+2hbY2tD+zltDE6JRNVX3a4V5MfPwLWoDLFnjyMsvQJSTUFDbW+PsHnzEOZnPFTWXCSdT8L2g9sxOnI05o+YX2/fo1Kr8EriK1gTU4sPJ48Q3ZBi261twC0gzDusztdxUmESEgsSEeAcgBifGOb1er0uevSAevRoqDMzcaWFF+73aI0Bb63EQJpfJIBT6aeABGLDGTyobm3qne454e8//obcRc77/b48/SWWHF2CSS0mYebAmXX6DkREQDVhAqSXLkGqUpEgeZD7ku1vv2Fgz/rJqiu6UYSfM36GnZudSeeGSq0SNckXuqZV14GvOgM7w1Q49+BZ/PrgKD5umoNSWxKg/ebQN7Hsx2Woklah/4D+FiMTUi+mYkP2Bjh6ORrc10snLgFpQPvGdZ8HnDh8AsfOHoNLgAv69DFNyZhclIw7jndgJ7fDwF7ityOyOBLv3nkXJcoS5nlgDN1ru2NsyVio1Codm7E2apW1+Cb7G4S4hqBL7y6isqrE4Pqp60AKEBsaW6/jjdLqUjhYO4g+r/r80QdnM87i7LSzaOZlOFP1ccGi04uA20Dvxr0xdJDxKKLA3EAs/GUhCtQFvN++srYSIE1pMajfIDjZEKLX1Ge1IShuKXBq0ymU25bzvvty1mXE5cahhU8LtGzQkveZERihvRrRUKlVeDHhRdSqahHTJcZiXZv/3PYnkAt0atEJAzs8HmPD+gJXuGIMFjGwyuVyhIaG4s0330SnTp0QGxuLiRMn4tatW7Cz0w16tLGxEQxLl8vlDyVH52GC7lO3bt0YYuvs2bOYNGkSTwFjb2//RO27XC6Hk5MTSkvZTmHNmzevd0Veu3btcP/+fZSWluLu3btoqqeT3a5du3RIrcaNG2PUqFEmHwdfzmStoKCAydoCgICAgCfquLq7u6OkpARFRUW8/fr666/x9ttvo1OnTowV0dPTkxc4rw9RUWxGzO3bt3nr5QYj2tra1vtvmVRMqmwRnhEoryXnR2Z5Ju9796Tswfbb22EltcIvQ3+BrY3+yY4+dGrYCYkFiTiTcQbDIjX2v08+AY4cAU6dgiQtDfLOnQFOXpts7FjIjOx/biUJfg1wfjzOu7sld7Hw9ELEBsRiVuws8mLnzsDff0NSWgp5YiKb98KpxFkNGAA8BtsvFo3cGuFo2lHcL73P/905qlGr55/n7ZPk228hF9Gm+/lWzyPCKwI9gns8FscUAFr6t4RUIkVeRR7yq/NJZ6BOnYBPPwU+/hgAGFILjo6Q7NkDeUPDuRvbb22Hh50HWvm2qrcwdH0QO/bwdvBGaU0p8jo0h+NxkpsWsZijWre2hmTzZsjrufPtkIghaOjaEJFekfV+TgS5BiGpMAkZZRlo7NlY73LJhcl4edfLmBM7B/fLSMZMiFtInbdv3c11+PzE5xgaPhRutm6oUdbg16G/4lYhUU5F+URZ/jeIjARu3oQEQGvNf8aQVU4sboEugXXeni7BXZD1VpZOBk5xdTEAch7WeZ/Dw0n234IFJHBbLgdmzoTk7bdhxelqbWl4OhAFWnF1sUn7EPtrLC5mXsSWZ7dgcJhx4lDomk7wBpx+/BPFR+ei9Ng8NHFvgh8G/oAQjxBkv5UNbwdvQVJm6dmlSCtOw6ToSWjp21LnfX3wciS/o7F9vVtM8gXDPcPrfFwDXYjqNacix+R1RXhHYPmQ5aZ/pyv5zmplNSpUFaKyyFzkLmhu31zU+uVyOZJfTza+oIkY23ws/F38EeQSZNF7SFpxGhafWYx7D+7ht6G/Ifj7YJTWlOLOa3fQ2F3/PZSiRlWDamU1EgsTEeMXY7HtAoCtiVuxN2kvXmr9kknnsjEcSiWuhX6h/UT9lmFepCFAUVURyhRl2Jq4FZsTN+P7Ad8zyzjaOep0OLYETxDpTbTlSYVJsLKyYq75nUk7Mf/EfMxoOwPtAsUpD8XCz8kPaSVpKKgqMPgcNQVZZeSZ09C14WMzNqwvmLJ/lktm06B9+/Zo2rQpbt68iYsXL6JLF8Mt4f8riI2NhUwmg1KpxAlN690nuSsiQILVucRWy5aWu4nqQ7t27bB582YAJEBeH7HFDfFfsWIFgoKC0L59e9gaqMjqg48PGxSbk5PDhMe7ubk9ccfVw8MDKSkpKCoqgkqlYmyEv/zyCwDg1KlTzLJig/KbNGkCqVQKlUqFxMRE3nvcMPmHceOmXZHCPMKY7kDaQaBLzi4BALwV+xaa+4gbmGmjQ0AH/HrlVyaMEgDp8rNhAyF6CgsBTlYZoqPZjoIGwHS7cXw8lDGC3WA6dQL+/hsAsGzJeDy38hyczl8FqGIrKsrsbj+PCsGuwQAEOgV16QK4uQFFRUBVFfkPAIYPB7QUrfrQJagLugQ9Xs9Re7k9Grs3xu2C20jIS2BbXn/0EdCwIfDCC4BCQQLjt241GjquVqsxYfMElNWUIXFGIsI9TQvwf1jwcfRBclEy4oZ3xN3df6DXDY48Xi4n4dsPoelBmEcY0ymsvhHiGoKkwiSkFKegG7rpXe6H8z/g4N2DOHj3IMZFjWM+W1fQSfL2W9uZ14JcgpCYT54VEZ4Rdf4OSyD9AemcWNfuagBpTS8U7JxfQaxtHvbGC0bivkhOiOiZM8m1asFmPvpgbpfLytpKKFQKs2w8r7Z5FcsuLsO2sdsAAKObjsadwjt4ttmzTBdKH0f9gf//xP+DU+mn0LlhZ5PIAHc7EvJNOwDqAw2tr0u4PgXtdJdZapqdvi6wk9vBxcYFJdUlyC7LrtfukZZEE48mFvnNKbYlbsPwjcN5r7XxbYPSGjIPMtb9kaK5d3OcuX8GN3JvWGzbKJZdWIYDdw+ggWMDs4mtk/dOIi4nDr0b9UYTjyYoryknilWwXV2NwdHaET4OPsgpz8H5jPOYtp2Mh2ijAAAWs+wBwO47uzFoPWnUs3nMZnzY5UM08WgClVoFmYS4BuiY35QGSWJx+vnTcLdzZxoMWAJ0XM3N3HwKC3dFpHDQdKTIzc2tj9X/K+Ho6MgQOzdu3EBhYeET3RUR4HdGBB4esUWhrzNiSUkJDh8+DABo2LAhXnzxRfTr1w+uItsDa0MfseX7mNluLAGqwFKpVCguLgYAVFVV8QLjKcQSWzY2NmiksWMlJiZCpbFEAA+/c+iFFy/g1LRTiGkQw1Q+6YQFIFkPp+6fglQixaz2s8z+HtpJRYcICQwE/viDVfa4uQEjRgAce6sh1KXbTX2AdoPJLM1k2iijc2fm/dj9CZCdv0CCX6k6b8KEh72ZdUYLnxboHtxdd5Lt4gJcugTMns22Hw8IAFaurJ/ulg8RlMy7V6KVwzN5MnDsGPDKK8Dhw0CvXkbXlVeRh7KaMkggYdb7OKJTYCcMajIIjg0CMWWaO8JnArlTxwDdugE7dgD/IvusWLTybYXYgFg4WhsmPfIr85m/N9wgllRLHEsuSd8xkOQvrri0AsVVxZBKpPVO8BVUFOBq9lXm3qoPkZ6ReK7Fc+ge3N2i38/tuFtQWQAA8LT31Le4eXB3fyikFgC42ZImDCYTW4pKADBLzbm432KkvJ6CoeHEIhXlHYV1I9cx/zYGc7siiiG21Go105nPEucyLTKYQ2zlV+QjvyKffVabAEqo0eKaMfx98298cuQTnEk/Y3xhDrgq/scNXEKEdgb87vx3zGsutvqzp7mgnW4tTWylFafh4F0S8D45erLZ6/n8xOd4dferOJ5G8hMlEgl+HvIzZradKUqRRhHqTuYIs/fNZl47e/8s+jTqg14hvSyWpQaAye0CgONpx/FZz88wKXoSL0Ykt6L+iC0/Jz+LklpqtZrpmmuJYsqTBIsrtvLz83HtGjHIhoU9nIrivwVdunTBRU3XpFOnTj3xiq1HQWy1bt0aEokEarUax44dg1qthkQiQUFBAW7evInOnTtj165dTIeF4cOH1/nmySW2EhISmJC7Bg0eD3LBkuBaCwsKCuDu7o6EhAQeGUXRyEh2EBeRkZFISkpCRUUF0tPTEaSx8nA7YTwMYsvLwYtpcx3oTIit0mpWdeht7Y0NIzYgsTCRVamYAapkSC1O1c0OGTAASEoCSkuJJUYqvv5ApcmPC7Hl6+gLCSRQqBTIK88jVfHoaKj8fCHNzELLbABdOcRHr17AnDmPbHvNxbCIYRgWMUz4zZAQYMkS4IsvgPPngWbNSBcnEUgtTsXlrMto4dPCpAHjw0BDZzJw1yG2AKBjR/KfSFDFQoBzAGysHt9n4aI+i5i/a5Q1uO8J5H70Eby9owx86t+Nhb0XilqOO5GeHD0ZjtaOaOvfts7fPzJyJL6v+h5t/dqifUB7rL22Fp72nhi4fiAauTWq9/Nl+s7p2JywGT8M+AEz2s3Qeb9aUQ1rmTWGhA/BkPAhFvvekqoSjP57NC5kXEDmW5mwl9uzii07Cym2HgG4ii06PhODyloNsWVlOrFlY2VjlGTdfWc3Vl5aifb+7fFel/d479WV2KpWVOtdJr8in1l/qJu4YqAhcIktU35fAHj34Lv49cqv+KzHZ/iwq/iOlQAZcyTmJxolgCm2JG7Bhhsb4GLrgtjAWKPLf3/ue3xx8guMixqHxf0Wm7RtQsh4kIEdt3egZYOWaB/Qvs7rA4gSf+XglQhyDULHwI5o8HUDRgUkl8phIxN3r6LEVlyu+CZWYrDm2hqooUbPkJ4IcTNfTUvHrynFJG7AXm6PSdGTMCnatA6uk1pMQgf/Dlh8lj2eL7d52eT1iIGVlKU79KnK6lOxZWnUKGvQN7QvMkoz6jQXeRJhsmIrPj4e69atQxW1VHBw+/ZtPPPMM6iurkaHDh3QvLl5Np0nFZ05SoUTJ078pxRbEonkoZwPzs7O6NChAwByrl6+fBlVVVXo2LEjunXrhiFDhmDjxo3M8iNGmB8ISMElsLjrfhLPf3d3d+Zv2vnyxg22qvTMM8/Ay8sLtra2GDtWfHBpZGQk8zfXjvgor5EOAR1Q9l4ZLk6/yLwml8oxKnIU5nafW6d1BzgHQCqRolpZjZyyHN0FGjYkBIgJpBbAKrZo9fRRQy6TM4MExo5oZYWiP35Bunb+a3AwsHEjsWQ+ibCzI8oekaQWAOy5swej/hqF2Xtn1992mYkgV0I+CxJbJuJo6lEAQBs/w5bFxwl0smote/Ke3eYgrZh0az0y+QhWD1+NHwb+YJHjaSe3w8x2M5nJ53PRz6F/4/7IeDMD/zzzT53XbwxUMcZV7lJU1lai7c9tcTjlsMW/19nGGYn5iSipLsGJNBJfUVBRT4qthwhXW1fIpXJ42HugolZ8p6sqBZlz1Ff+XlZpFrbd2oajaUd13qPEk1jFDUUjt0ao/KAS2XP0kz1UrdXQpaFF9o2er9WKajyoFh+4DBDlLAB42ZuesUaLabS4ZgxFVaQrHiX/jEEikSC7LBtpJfq7QpuCk/dO4pVdr+CNfW9YZH0A2cYXW7+IvqF94WjtiDdj38SzzZ4FQK5nsSQjJbbuFt1FeU25kaXFQa1WY/XV1QCAqTFT67QuShJTYstcvNTmJea8CfcIh+IjRb2QWgBr4waArkFdkVeeh4N3D+LcfbaLfX0SWyfvncSUrVOw4MQCi6zPxsoGW8duxYUXLzz0TNLHHSYTW7m5uZg4cSI8PT3RpUsXjBs3DqNGjULbtm0RGRmJo0ePIjIykjfBfwoCbWLrSVdseXECSMPDwxmLan1j6lT2pr1q1SqsXr0at28TRcDu3buxfTvJ6vD09OQdE3PBVWxxO1327SvOa/5vgrZiC+ATW1OnTkVqairy8vLQrJn4bi4REayFKyEhgfn7YRJb84/Px+y9s5GQR75fLpPDwbp+zlm5TM4owuo6OODCx9EHAc4Bj1UFh8qkqWwaAMpaNkOLV4DNzTSPIBcXksUkotnA44wqRRXPOlRX0ByhSM9II0s+fEyJmYKrL121SPX8wF3SOKBfaP3nU9UVarUaN3JvoKS6BABEV+H/7UgtTtVrH1OpVQzxY4lcLWOQSCTwc/JDdIPoev8u2h3rzxt/6lzbp9NPIy43DrP2mm9L1weJRIK+jcgYgl4fFs/YegSwl9uj+sNq5MzJMen5ylgRzVBsiQHNWqI5mxQKlYJpJGOqYksqkRq1H3UI6ID0N9KZ/K+6wk5uh/tv3EfNRzUmE3F55YTYMmdi/03fb5D1VhZeb/+6qOWLKgmxRa2pxkDHEeklugSzOaA2v6h6VNt+2uNT5vcw5Vh4OXjBx4HMK+Lz4i2yLdll2UgpToFUIsWIiLoV9LmOg9TiVCw4sQC38m+ZtS6qSnun0zsmdxc3Bb1CesHZxhkTmk+Ag7UD1sWtQ5+1ffDV6a+YZeqT2CqsLMSaa2vwR9wfFl/3U/BhMrHVrFkzfP755+jSpQvu37+PHTt2YOfOnbh//z569eqF5cuX48qVK2hopAPSfxHe3t4I13TBunTpEpNRBDz5iq2HYUOkePbZZ5lunOvWrcOiRYsElxs6dCisLKAO4RJbFLQT5pMGIWIrLo6VS0dFRcHe3h6OJuZ1cBVb+oit+gyPV6lV+OniT/j23Le4W3RXcJm3D76NjdkbhRVWZuDdzu9i2cBlFs0U2jFuB9LfSH+slC80Z4sbIF+trEaxHTBtgiMQH0+C8qPrf5Jan+i6qivsPrdjQlQtgYR8ci08LgHZXAQ4ByC6QbTJkydtlFaX4nT6aQBAn9A+lti0esWEzRPQfHlzdGnYBWuGr/lXq2fEYtaeWQj5NoSp+GtDAgmy38rG1ZeuMtf7k4LxzcfD28EbaSVpTHYYxZXsKwCApl7GG3uYA3o97E/eDwBYM3wNfhv6G5Pf82+ERCIxK/6BsSLWkzqB5lulFqfyrIMlVSXM3y42dbvXCUEqkSLAOQAxDWIstk5/Z3+e9Uos6MSexjGYAj8nPzRwbCCanKC5Y2IVW7QQqN3Mx1xQQqU+iS0AjGrO2UZbom4Yg5oMwqjIUWYdRyHQIlkjt0Z1LthSG2NKUQr+if8H7x9+HzN269q0xeD3Eb/jwosXMKHFBKjVavxx/Q9I5knQ/hfL2EMp/J39kTsnF2tHrAXAXu9UMVmlqGKOVX0QWzQfMj4vnlHe1gW1ytrHOm/uUcLkK8bLywvvv/9+fWzLfwJdunTBrVu3UFtbi5MnTzKvP4mKLS7h8zCJLWdnZ4wePRpr165FcXExQyDSHCea22QJGyLAV6ZRdOrU6aEp1B4mDCm2XFxcEGBmN7tHrdi6mHkRGaUZcLR2RK9GbObTFye+wLG0Y2jm1Qw/XPgBSrUSb5a/iQC3uoc1vtzm5Tqv49+AxX0XY0m/JbzOLXTiYCO3JTliTwDohCulKMViAdKMYsvryfiNhHAs7RgUKgVC3UKZpgqPM9r4tcGGGxtgJbWqN9vE4wZKrK66ugqvt39dh5iQSCRws3ODm5049cW/CXZyO7zZ4U28e+hdLDy5EBNbTGQyEWlX2xifmHr57t6NekMCCeJy43Az9yYGNBlgsYnuvwlKlRL9G/dHpaLSaBMDc+Hj4AMnayeU1pQiMT+RUQNSlaK93B5ymenFtf8d+B9u5t3EFz2/eCgKw7qgLlZEU0GtiGLvGbSZT3ZZNmqUNXW2gD8MxRZA1JUdAjqIJvAofh32q0W3o1JRiSbuTdDMW7yTQh9oMTarLAvr49YDQJ1UYLQQm1maiee2PAfAcso8Lrh5jLT74p2CO0xnxH0T9yG3PLdeCGxPe09EekYiIT8BJ++d1J/JKhILTy7EgpML8Hr717Ggt2XsjU8K6qUr4lPoB9f6lpeXx/z9JCq2hg8fjmbNmiE8PByTJ5vfgcMcTJs2Tee15cuX459//kGDBg0wcOBA9LNQW3a5XM4jfIAn04YI6GZslZSUID2dPICioqLMDuJ3dXVlssq4GVsPKzx+S8IWAMDAJgN51oGLmRexP3k/lpxdAqVaiV7uvRDt83gPTh83hLqH6oQ8K1QKWMusLdol5lEj2CUYgECnSzNRWl3K2LseR8UWAHx9+mvM2DWjThXI/o3749S0U1jaf6nlNqweQQfwx9OO83I7nmSMixoHa5k1rudcZ1RK/yW80vYVuNi4ICE/AdsSWcsY/S1a+tZP4c7T3pNZd9TyKIvk2T0O+N+B/6H76u44lnpM1PIyqQw7x+/EoUmHTFa+iIVEImFUFdzMtGDXYNx/4z4uT79s1nqPph7F7ju7BY/d+Yzz6PhrRyy7sMy8jdaDP2/8iQmbJ+DPG3+K/gw3k8scxVZqcSre2PsG3t7/ttFl1Wo1Y0UUS/h42nvCWmYNNdSiOy/qQ3lNOaPMb+5dv1m4Tb2aoltQN3zYxbQwfktjYJOBuP3abWwes7nO6/Kw82AIZnoPHB4xvM7r5UZoiM1qMxfBrsGwklqhUlGJzNJMyGVy9A3ti4ktJlq0GyMXXRp2AQCcuHeizuvKKM1ApaLyacanAJ4SWw8Z/fv3h729vc7rT6Jiy83NDXFxcUhISIC398PtMtG1a1deV77Y2Fh07doVQ4cORWZmJnbt2mVRa5t2B8Q+fR5/S4050FZscfO1oqLqVvmidsS8vDxGDfawFFtbEgmxpV114rbRHRE+Aq8Gvmqx7yytLsXJeyeZ9st1xfG042j8XWNM2vL4q0ha+rZE9YfVSH099VFvisXAyPMtlJl2PuM8AGLBMLXa+7Dw7blvseziMiQXJZu9DiupFToGdsTgsMEW3LL6Q4hbCCI9I6FUKzF9x/T/hB3Azc6NmbisurJK5/0tCVswc/dM7Ly98yFv2cOBs40zZrabCQCMbbaitoJRVNIcrvrAjLYzYGtlCwnqZ7L1KHA1+yqOpR177Ig62i1t/939zGsyqQz+zv4I9ww3a500D41a77jYnLAZZ+6fschEl4ur2VexPm49zt4/K/oz+RX5sJJaQSaRmZwlBpDxzNJzS7H62mrjy9aUQqlWAhCfsUUtm4BwIwdTEJ8XDzXU8HbwNovEMwX2cnss7L1QVOdHbajVaosrlyxB2kgkEqwbuQ4TW0wEALTzb2cxC3qQS5BF1mMMcpmcyQrTztWrL3RuSIQtliK2ADxx1n9L4Cmx9ZDh4+ODjRs36mQ7PYmKLcD8PIW6QiqVYvr06cy/P/zwQ2Y76mN7uLZLDw+Ph2q9fJgwRGzVtQskzZ8DwIT9PwxiKyEvAbcKbsFaZo2BTQby3mvrR9rVD2wyEGuHr4VMYrlwyyvZV9BlVRe8vNMylsT0knQkFyXzsqweB1QpqjD36FyM3zQeCpWC996juDfUF6g831KKLTr46RLUxSLrqw/QrJ/HbYJa36BWU0qI/xdAO2mtv7Gel0EEEIXLjxd+xKl7lsuXe9wwu8NsXHnpCr7qS8KG43LioFKr4O3gzXT2qg9MazkNlR9UQvWJ6l9h1RUDaj+jdrTHBX0a9YGtlS1srWwtRljTooQ2saVWq7E5gahn6hrmrQ3aGTGzNFP8Z5x88W3/bxHhGcFYbU36Tk0n5vyKfNQoawwu6yB3QMKMBJyedtqkzLTYgFj0CO5RZzvuv6ELb5WiCm5fuqHh0oYWyWSydAFmaPhQJpPNkufvjwN/BECyDesbNGfrdsFtXM+5jt+u/MYUFOsDdCx3OetynbpdViuqmQILtVQ+BYv/nln/McDgwYPxxx9/YOzYsQAAOzu7J1Kx9agxZ84c2NjYMNbD+gSX2OrVqxdksvrr7vEoUZ+KrcaNGzN/3717F7GxsQ8lPJ5OTmnXFC4mtpiI1n6tEeEZAaVCadHvpUTIvZJ7UKqUde4IQ6XbdFD7uMBaZo1FpxahUlGJed3nMd2nnjRwOwVZAq+0eQXNvJoxE4bHEUEuQTidfhppxea1YN8UvwkH7x7E2Kix6Bb872m2MbHFRCy/uBzAk0XOGkKfRn3g7+SPjNIM/HjhR7wZ+ybz3r0HhNgMcn041fZHAU97T16jgKTCJEggQcsGLf8z54Cl4GrjCgB6u2xqIzE/ES1XtISfkx+SZ5mvDjWGKO8oFP6vkEe2nEg7gc0Jm9HWv61Zk213W2FiKz4vHncK78BGZoMBjQfUbcO1QC1dpti5pBIpXmz1otkkhbudO6ykVlCoFMgtz+Wp3bUhk8rMstf/MdIyHeXmdJyDmAYx9WZrtQRsrWzhZueGkuoSbLy5EVHeUYj2Ma9ZS2l1KYKWBiHcMxxHJh+xSAREcVUxY9m1JLE1KGwQEmYkWLSpkj4wOVuFd1BcVYx3D72LydGT0c6/Xb18X5BLEAKdA+Fk44SM0gyGWAMIISyBRFTH2+23tqOwshD+Tv7oGtS1Xrb134yniq1HhGeffRYbN25ETEwMvvjiC0ilTw+FpSGTyTB79myGQKxPcK2IT2q+FkCC+SlpV1hYqNMRsS7gWkeTk8ng9WEotuys7ODv5C/4cJZIJGjq1dSsCqYx+DuRzkW1qlqL5Alkl2UDQL2qB8yBVCJlbBzUunMm/QyGbhiKDw598Cg3zaKgA7H7D+4brViLgY+jD55p9gwjX38cUVfF1sabG/HTpZ9wJPWIJTer3tExsCPWDF+D7WO3P+pNeWiQSWWY230uAOCP639AqWKJfkps/pu79ZmCitoKTGgxASXvlmDlkJWPenP+daBWN7HEVkVtBaoUVTpKQUtDIpHoKIguZl7E0nNLsevOLrPWqU+xRQtqvRv1hpONk1nr1gdaDBGj2Hp9z+uYe3QussuyIZfJzS6kSCVS+DiQAm9dM7DqGxKJBH1C+6B9gGU771kaNP9rxu4Z6La6G3r+3tOs9STmJ6KoqggpRSkWyzW9lHmJsa2aa9PVhwjPiIeSv/ps1LP4behvmBozlVGf1UdHRAqJRIJbM2/h5qs3eaRWZmkmmi9vjmF/DuM9V/Vh1VUSBzA5enKdC+JPIp4qth4hxowZgzFjxjzqzXgKC2DEiBH48ccf4eXlZbFui48jJBIJ3N3dmRystDQyofH19dUJ0DcVoaGhzN+U2HoY4fFvxL6B2R1m69jk6hsyqQwNXRribtFdpBSlGKxwigElxx43YgsAIj0jcTX7KhLyEzAkfAjSH6Rjx+0dTFjtkwBvB2/0btQb/k7+qKit+E+EejLE1gPTiS2lSolDKYcAsNk2/yb8VzoicvF8y+ehUqswKXoSb0BNic2HlY/yqKBUKTHyr5HYn7wft2beQkOXhhYnJf4LMIfYAmCSba2uyCvPg5eDF7ON5nZKo8RWQSVrJ6tSVGHDjQ0ALG9DBFjFVmZpJtRqtV5FYZWiCssuLoNCpcC0lroNl0yFr5MvMkozmCKbPmyK34Qr2VcwoPEAdGrYyeTvUalVZhUby2vKoVQrH2ulFhevtXsN6Q/SUaWoQmJ+Ii5nXWbOS1NQH92Vm3k3Q/fg7nit3WsWW+fDRoeADugQ0AEAkFtR/8QWIHwPm7VnFh5UP0CnwE5GiaqMBxnYl7wPADC15dR62cZ/O57KhJ7iKSyALl26IDMzE8nJybzOgU8iKIF17949JuS9rmot4NEptgBC2JnTyruusGQuEx1MPm5WRIDt6kcHWLTyzu2U+G+HRCLBgecOYPXw1WaF73KxKX4TPj/+OdOS/HEFJTLMsSJezrqMwspCONs415v0/yksC4lEgumtp/Oq6aXVpUxW0pOu2JJJZSiqLEKVogpbE7c+6s3514JmbOkjtipqK/DWvreYzLbK2koARF1d36hSVKHF8hbw+doHeeV5zDaae0+nxFZ5LZup8+7BdxGfFw8naycMixhW103WAR0DVCmqUFJdone5m7k3oVAp4G7njkDnwDp/Ly2qGSO2tt7ais9PfI7jacdNWv/xtONo8HUDdPiFkBG/Xv4VP1/6WfTnf7zwIxouaYjlF5ab9L2PCn1C++DKS1eQMCOBGUNdyrpk8noS8hMAABEeluuu3MCxAfZO3ItBYYMsts5HieRCMueob2KLIrc8F/dK7mFb4jZsStiEakW1KKuzq60rfh7yM15r9xoauzc2uvx/EU8VW0/xFBZCXRVL/xbQ/eSGUcbExNR5vY6OjvDx8UFOTg7u3iWtmB8WsfWoQHOZLNFJ73G1IgJEsQWwA6xqJSG2/guqJnOw5toa7Li9A7ZWtojyrjtpXF+oixXxwN0DAICeIT3rHAb8FA8ftcpaHE45zHRlcrN1+0+ol0ZEjMCJeyfw+t7XkVmaiYW9Fz7qTfrXwdXWFXKpHGoIB1ovPLkQi88uxuKzi6H+RI1KhYbYegiKLVsrW0glUqihxsG7BxliyFzF1rNRz2JMszG8Is6HXT/ExcyL+Lzn57zcNkvBTm4HV1tXlFSVIKcsRy8pdyX7CgBYLCeugQMZexiLVrhdQJoDce1YYuBk7YSc8hxmHS/seAEA0K9xP6OkemVtJRafWYyS6hLYy3U70z/u+H347/Bx9DGLgKTjLksqtp4kHEs9hjP3zwB4OMTWc1uew6b4TVCqlXCQOwAguW/RDaKNftbB2sEi6sonGU8VW0/xFE9hEry8+DLoTp06Yfbs2RZZN7UjZmVloaKi4qGExz9K6FNsKVQKqNQqk9bl7+SPQOdAxobwOIFWGxPyEqBWq1nFluzJUWxRVCmqcLfortmfV6lVOHnvJIDHuyMiQCYmV1+6ijuvmd4ue3/yfgBA30b/Phvifx1KlRIRP0ag/7r++Pvm3wCefLUWxYhI1jr2VLVlHsY0G4PqD6ux5VnhrqL5Ffm8fz9MxRbAWqP/Sfinzoota5m1jjLZ094TJ6aeqNeGGbdm3kLNRzUI9wyHUqUUzO65ksUSW5bA/J7zkf1WNj7ooj87U61WM8SWqY1kaFxDTnkOfrr4E/P6ibQTOt+hjdVXVyOnPAcNXRo+lI57lkZb/7Zo6NLQLAKSKuXNCez/L8DB2oH5+2E4HubEzkFb/7aoUdagqKoIoW6h8HPyQ4dfOmDxmcU6y6vVauy8vRNzj86t9217EvCU2HqKp3gKkzB9+nS4urqiXbt22L17N06cOAE/P8uQKVw74t27d594xdbAJgOxbOAyvNT6Jea1lKIURP4YibY/tzWJ3Nr/3H7ce+PeY1mVa+LRBFKJFBW1FSioLGAUW0+SFREgA2ynBU4YtN58eX58XjyKqopgL7e32ISjvmBjZYPoBtGMtUgsymrKmHbVfUL71MemPUU9QiaVMU0NMkszUfi/Qr0kxZMGbreu/4JCrT4glUgNTtAntpgIAGjkRsYDD1OxBbD5eVsStuB8xnkA5hNbFDXKGhxNPcqQLvXdSdPbwRtWUivkluei9crWaPx9Y5TXlPOWYRRbvpZ5zvg4+sDH0cdgTlBBZQFDFppqpfK092Rs0EvOLmFeP3GPEFuVtZVo8n0TdFvdjUduKVQKLDq9CADwdse3H0nsxKNCrbIWSYVJAFjl/FPw0cavDdaNXIdPun2CFj4t6v37ohtE4+jko9g/cT9eaPkCNj+7GWU1ZTiXcQ5xuXE6y39+4nMM2TAEnx77FNdzrtf79v3b8ZTYeoqneAqTMGDAABQWFuLcuXMYMGCARQdo3AD5u3fvPpTw+EeJVr6t8ErbV5juPBkPMtBjTQ8kFSbhctZlZDzIeMRbaBnYWtki6bUkVHxQAU97zydWsRXhGQGFSoHE/ESUVOnPNjEEWn2ODYh9YgfgacVpCHINQohrCELdQo1/4CkeO0yLIXaIjTc3wlpmjRC3kEe8RQ8PG0dvhJ+TH34Y8MOj3pQnEjTcmzYX8bL3Qregboj2MW7VsQSivKMwJGwI1FAztjoXW/OsiOU15Xhuy3OwmW+DHmt6YPTfoy25qQZRWFmIPmv74FrONaQWp+JwymHmPaVKiWs51wBYTrElBncKiLo3wDnAZEugRCJhVFue9p6QS8nzkSqcba1sEegciBP3TjBkFwD8eeNPpBanwtvBG8+3fN4Su/FI8PXprzHsz2EmZbIWVxWjd6PeaOrVtM4Nip5kjG8+HnO7z613wpmCdub8eejPaOHTwmBeKVW3T46ZbJEsvCcdT4mtp3iKpzAZ9XXz1+6M+KQrtih+u/IbPjnyCXr93gtpJeTBFuoWynSDehIQ4hbCZCnVKMlxfdIytrwcvJjctIuZF03+vFqtxm9XfwNAsqf+DdicsBkzds3A3qS9oj/TzLsZ7rx2B5emX3poA8mnsCy6BnVFqFsoSmtKsSlh06PenIeKMc3GIOPNDKYg8RSmobS6FCM2jkCPNT0EVcnaxNagsEE4OuXoQ80ze7/L+8zfu8fvRqdA07v3AUTV+sf1P5h/m7seU7H91nZ4LPLgKTxoriEA3H9wH2q1GnZWdiZnXelDZmkmZu+djZm7Z+pdxtx8LQo6sV/abylSZ6diYa+FWDlkJQAyLqWFkt+ukOeoSq3CgpMLAABvdHjjoXbWtDT+if8H229tx5n0M6I/4+XghT0T9uDmqzefPmsfYxjKK00uIsH2r7R5xWR1/H8RT4mtp3iKp3hs8F8ltlZfXY1Pj3+KWwW3EOAcgNTXU5E0KwnhnuGiPr/7zm6EfheK6Tum1/OWWgYfd/sYNR/W4LsB3z3qTbE4aIc/amExBQfvHsTFzIuws7LDi61etPSm1QsOpxzGsovLdHJOxODpIO3fC4lEgikxUwAAk7dOZnJcnuIpjEEuk2Nr4lYcTT2K0upSnffnHZ0HgBRAqLr3YaNDQAf0CO4BgBQpzLWdajfGmN764TyjM0szmb8/7f4pfBx84GjtyLwW5BqEB+89wM1Xbxq0DpqCakU1vj33LX65/ItgzhUAxhbXxN20fC0KqjpKf5AOPyc/vNP5HXQM7Mi8P7XlVADA3/F/o7S6FHE5cUgqTIKzjTNeafOKWd/5uKAuY4uneLxBia30B+k8sr+ytpK5lp+q28XhKbH1FE/xFI8NDBFbT2J4PMWIiBF4tc2r+F/H/+HE1BMIcg0y6fPpJem4W3SX6Rj0OOJa9jU8t+U5zNw9ExKJBHKZ/IlTbAHs4PNcxjmTP5tXkQcPOw+82OpFeP2/vTuPjqpK9z7+q4wmIXOAJCQMSpgjoiAogwjNIHQjQyNDIKDY2FfXEgTlCupqu4F2xgG16eZyFURakAYvNoMJ2IKAyOiA0EgMERoFSchEEjLu94+8dSSGJIQUqark+1kra6XO2Sf1lPikTp7a+9kBTWu+wAXYb8iSU5OtJs/V+SjlI3155strHRbqwZSuU6zvf9nwG6jKdV7XWb2SMi9mVjqfVZhlfV9SVlJfYVXy54F/1rp71umJflU3Q6+NifETKxSXrqWE+AQtHLBQRx48onl95+nH2T/qzwP/XGGMl4eXQ5cQ23dkLiwt1E95P112zNP9n1bqw6ma22fuVT3HzVE3687Wd1baJGdLyhYNWTlEJ7NPqn14e+UX52vNN2vUNbKrvvr9V1o2YtlVLyd1FVZh64crK2yl56dra+rWKouMcB0tglrIw+ahotIia4dz6ecd04N8gxTmF+as8NwKhS0ALqNZs2YKCCjfoaQxNI+3e+S2R/TG8Df03KDnKjQnvtLm8fY+IPWxo8vVyi/O18qvVmrtkbVXVABxVz1blC9P+vz057W+oZwYP1Hfz/xeT/d/+hpEdm2M6jBKTXyaaN8P+zT2/bF658t3rD9GT2af1FMfP2X9f/xJ2icauXqk+i/vzwyfBiA2OFYLByxUQnyCbou5zdnhwI3Ym7HbG4lfyr4E/+2731aAT4Ce2PaEIp6P0MIdC+sxwvJZW6M6jpKHrW5/Kv1l+F80uuNovTnsTQdFVrNA30DN6ztPHZt2lKeHZ70sQ/Pz9tNNkTdJKp8xdTmeHp5qE9qm1h/e2c3sNVMfT/nYavCfU5ijv3/9d9317l1K+i5Ju07u0n3dyvv/2Zf1t49or992qr/eZteKvbB18MeDKi4trmG09OqeVzXonUG6f8P91zo01JGXh5daBLaQVHE54nfny5ch3hB6A0tJrxCFLQAuw2azWTsjnjhxQhcvXrTONeTC1i/tPLlTrV5ppduX3V7zYMn6hMf+iakrim8er9DrQnU276z8/+yvMWvGaMOxDc4Oy+G6RXWTp81TZy6c0encK2v+n1OYYy3JCfAJcKslenHhcfrnhH/qOq/rtPH4RiV+kKhxa8fpYslF3bn8Ti34dIEGrhio8WvH6zd//40ullxU35Z9mVbfQMzrO08rR6902HImNA6h15X/jrtcYcveW8veayvzYqYyCjKs3ozu5vfdf69/3PMPp88YMsboZPZJlZky9Xurnyavn1zlzKqrde9N5UsB3/riLYf+3Kpk5Gdo4rqJ1uORHUZq8o2TJUm7T+3WsfRj9RJHfYgLi1PIdSG6WHKxxt3xcgpztHjvYknlPerg+tqGtVWbkDYVeut6enjqlqhbXH6HbFdCYQuAS7EvRywuLlZqaqp1vDEVtoJ8g3Qy+6TVaLUm7lDYauLTRP83/v/k51XevHXd0XU6cu6Ik6NyPH9vf826bZZeGvyStdymKmWmTK/seUXXv3q9nt/1fD1F6Hh3tL5D68ett3apGthmoK7zuk5/7P9H2WTTJ2mfaPU3q3Wh6IIGthmoNWPXNNgdHwHUzD5jK7Og8lLES/tuFZUWqaCkfIavOzf+draU8ymKeilK3f7aTTO3zNSnJz/VuqPrFOhzdb3DqjIxfqK8Pbx18MeDlYovP+X9pAn/mKD52+c77PkuneEulW9qERUYpZEdRsomm45lNJzCls1ms/qJvb6v+h1Z39z3prILs9UxoqNGdhhZD9GhrrYlblPqjNQKGwcNixum/dP3a9ndy5wYmXuhsAXApVzaZ+vo0aPW942psHV9aPmstcyLmZe98f8l+9RlVy5sSVLfVn31wfgPrMeOvql2Fc8Pel6zbpulCP+Iase9uPtFPfLRI8ooyNDmlM1XvPTUFQ1tO1QHph/Q9qnb9WCPByVJk26cpM+mfaZXh76qV4e+qhUjV+jDCR/WWPAD0LDZ+8VcbuaJfcbW6DWjlfRdkrV03f6hCGqvdUhrFZQU6HzBeWsmz5LhSxxeLIzwj9CI9iMkSW8dqjhr6+i5o3rv8Hta/uVyhz2fzWZTp6adJEnxzeKtD0yW/map1oxdo2Fxwxz2XK7gyb5PysfTR5EBkVW2OsgvzteizxZJkub2mVvnpbSoHyw1dAyvmocAQP25tLCVmflzUachN4//pSY+TdQ8oLnO5p1VamaqbvG7pcqx5wvO68uz5c24u0d3r68Qr9rgGwYraVKSVny1QmM6jXF2OE6TX5yvF3a/IKl816q5fd3/BjS+eXylYz1jeqpnTE8nRAPAVd3T+R4lpybL39u/0rncop9nbOUU5jBjywG8PLw0oM0AffDvDyRJbwx7Q5O7Tr4mz3XvTfdq58mdlTZAOX7+uKTy5euOtHbsWi38dKEWDFhgHYvwj2gQfbV+6bbY25Q2I01RgVX3U/3fQ/+rc/nn1DqktcZ3GV+P0cHRjDEUvGrJve+iATQ4lxa27GJjYxUeHu6EaJznhrDy/w7fZX5X7biM/Az96vpf6eaom62tsF3doBsG6Z1R77j8DLO6yC/O1+NbH9d7h9+TJJ3IPKGEdQnWHxZLDyxVen66rg+9XnP7zq20LTwANFSTb5ysfz/0bz3W+7FK5+wzlqX/X9hixpZDTL95usL9wvXykJetWbXXwtC2Q3XqkVOa13eedaywpFDbTmyTVN4rypE6Nu2olaNXVlqW2FBVV9QqKi2y2hrMuX0OS/7dyBdnvtBty27TkJVDJEmlZaUKfjZYHV7voHN555wcnfugsAXApXTp0kUeHuW/mmw2mxISErRz5055ejau5sT25tr2XVGqEhcep48mfaR9v9tXH2HhCi09sFTP7XpOD29+WF+c+UIDVgzQxyc+VlxYnApLCq3ZWv/d+78pagFoVGw2m9qEtrnsuX2/26cpXadIKu+3xYwtx7gr7i6de+ycZvaaeU2fx9PDs0JBJXF9oqJeirI+5KERtmPsOrlLo1ePVnp+unXsVPYpa8b/vd3udWJ0qC1vD2/t+c8e7Ttdfi9/Ove0cotylZqZai3dRs24mwbgUqKjo7VixQp9/vnnmjZtmrp27erskJzCKmzVMGPLzt2XsTU0/9Xjv/Q/h/5Hh386rO5/665SU6pAn0CF+YXpna/e0enc04oOjLb+gAOAxiYjP0Mbjm1QmSnTtJunWcftOyLmFOaoQ3gHFRQXqFlAM2eF2WDU97Kmvaf36p2v3pEkxQTF6Kl+T2nKTbzn1ZUxRg9veVgHfzyoLs266E93/klS+Uz/ww8eVmpmKr0s3UzL4JaSynvr5hbmWh9qtw5pza7DtUBhC4DLSUhIUEJCgrPDcKobm9+o22NvV9uwtlWOybqYpYLigmqnpsM5fDx9tPQ3S3X7sttVakrVOqS1dkzdoajAKHVu2lkD2wzU8Ljh8vXydXaoAOAUP+T+oPs23KcI/4gqC1tLRyx1Vnioow4RHfTioBfl7+2ve7vdS7HFQWw2m+b1maffvv9bLd67WI/e/qgCfQJls9nkYfOo9r4RrinQN1Ch14Uq82Kmvs/+3vpQ296WBFeGwhYAuKBRHUdpVMdR1Y5Z9fUqPbTpId13031sB+yCesX00uK7FmtTyia9ftfrig2OlVTeAHZr4la33gURAOrKvnPs+YLzKjNlOnLuiEavHm01Gs8pynFmeKijIN8gzb59trPDaJBGdRylDhEd9O/0f2v4quFqHdJab939Fq0N3FirkFbKPJOpk9knrRlb9tUbuDKsXQEAN5X0XZIkPtFxZQ/d+pA2Ttx42X4yLB8F0JiF+5dvClNmypR1MUsZ+RlWUeu3nX6r7lGuv9Mv4AweNg/N7TNXkrTz5E6t/Gql1nyzxslRoS7syxHTstKUmpUqicJWbdX6rrq4uFjbtm3TY489ph49eigkJETe3t6KjIzUiBEjtHHjxmsRJwA0SkWlRSouLa50vLi0WP9K+5ckafANg+s7LAAA6sTH00eBPoGSyvtt5RblSpJ6RPfQ+2Pf10O3PqT2r7dXm1fb6ETmCWeGCricCV0mWLuIzuw5UxO6THByRKiLjhEdJUnP7nxWh348JIkPrmur1vMVt2/frkGDBkmSIiMj1adPHwUEBOjIkSP68MMP9eGHH2r69OlasmRJvTcpBICGZPiq4dqSskUfTvhQw+KGVTi3/4f9yinMUZhfGLsMAQDcUrh/uHKLcpWen66cwvKlh4G+gdb5tKw0FZUW0UAZ+AVvT299NOkjfX32a43sMJK/u93c7Ntma8OxDZp+y3R9ffZrNfFporiwOGeH5VZqXdjy8PDQmDFjNGPGDPXt27fCudWrVyshIUF/+9vf1Lt3byUmJjosUABobHw9fVVmypRyPqXSuT3/2SNJ6tOyDzf8AAC3FOEfobSsNGUUZCi3sHzGVpBvkIwxyivOU1FpkSTJz8vPmWECLqltWFuaxTcQTQOa6uADB9lkoQ5qvRRxwIABWrt2baWiliSNGzdOU6dOlSStWLGizsEBQGN2Y/MbJUm7T+2udG7vD3slSbdG31qvMQEA4CjhfuV9ti6dsZWamSrPP3kqZlGMNc7Pm8IWgIaNolbdOLxzbbdu5UtiTp065egfDQCNyqDry5d9b02tvIPe3tPlha2eMT3rPS4AABzhqX5PaXPCZg25YYhV2IoOjJaRUXZhtjWOGVsAgOo4fE/Q48fLdzOJiopy9I8GgEbl1ha3KtAnUBkFGTr04yHdEn2LJMkYo6f6PaW9p/eqezS7RgEA3FPvlr2t75v4NFHrkNZqF9ZOW7TFOu7j6cOSewBAtRxa2Dpz5ozefvttSdKYMWOqHFdYWKjCwkLrcU5O+Sc0xcXFKi6uvPuXO7K/jobyeoDGzlk5fUerO/TP4//U5uObdWPTG63jCZ0TlNA5wSkxAQ0B79OAa5nVc5Zm9ZyliyUX9dre16zjfl5+V5Sn5DTQ8JDXjVtt/t0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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot data\n", + "prediction_data_Autoformer = prediction_Autoformer[batch_id, :, variate_id, 0]\n", + "prediction_data_FEDformer = prediction_FEDformer[batch_id, :, variate_id, 0]\n", + "prediction_data_Crossformer = prediction_Crossformer[batch_id, :, variate_id, 0]\n", + "prediction_data_PatchTST = prediction_PatchTST[batch_id, :, variate_id, 0]\n", + "real_value_data = real_value[batch_id, :, variate_id, 0]\n", + "history_data = history[batch_id, :, variate_id, 0]\n", + "## plot data\n", + "plt.plot(range(history_data.shape[0]), history_data, label='History', linewidth=2, color='black')\n", + "plt.plot(range(history_data.shape[0], history_data.shape[0]+real_value_data.shape[0]), real_value_data, label='Real Values', linewidth=1.5, color=\"green\", linestyle='--')\n", + "plt.plot(range(history_data.shape[0], history_data.shape[0]+prediction_data_Autoformer.shape[0]), prediction_data_Autoformer, label='Autoformer', linewidth=2, color=\"red\")\n", + "plt.grid()\n", + "plt.legend(prop={'size': 16})\n", + "plt.xticks(size=16)\n", + "plt.yticks(size=16)\n", + "plt.savefig(\"prediction_vis_Autoformer.png\", bbox_inches='tight')\n", + "plt.show()\n", + "plt.clf()" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot data\n", + "prediction_data_Autoformer = prediction_Autoformer[batch_id, :, variate_id, 0]\n", + "prediction_data_FEDformer = prediction_FEDformer[batch_id, :, variate_id, 0]\n", + "prediction_data_Crossformer = prediction_Crossformer[batch_id, :, variate_id, 0]\n", + "prediction_data_PatchTST = prediction_PatchTST[batch_id, :, variate_id, 0]\n", + "real_value_data = real_value[batch_id, :, variate_id, 0]\n", + "history_data = history[batch_id, :, variate_id, 0]\n", + "## plot data\n", + "plt.plot(range(history_data.shape[0]), history_data, label='History', linewidth=2, color='black')\n", + "plt.plot(range(history_data.shape[0], history_data.shape[0]+real_value_data.shape[0]), real_value_data, label='Real Values', linewidth=1.5, color=\"green\", linestyle='--')\n", + "plt.plot(range(history_data.shape[0], history_data.shape[0]+prediction_data_FEDformer.shape[0]), prediction_data_FEDformer, label='FEDformer', linewidth=2, color=\"red\")\n", + "plt.grid()\n", + "plt.legend(prop={'size': 16})\n", + "plt.xticks(size=16)\n", + "plt.yticks(size=16)\n", + "plt.savefig(\"prediction_vis_FEDformer.png\", bbox_inches='tight')\n", + "plt.show()\n", + "plt.clf()" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot data\n", + "prediction_data_Autoformer = prediction_Autoformer[batch_id, :, variate_id, 0]\n", + "prediction_data_FEDformer = prediction_FEDformer[batch_id, :, variate_id, 0]\n", + "prediction_data_Crossformer = prediction_Crossformer[batch_id, :, variate_id, 0]\n", + "prediction_data_PatchTST = prediction_PatchTST[batch_id, :, variate_id, 0]\n", + "real_value_data = real_value[batch_id, :, variate_id, 0]\n", + "history_data = history[batch_id, :, variate_id, 0]\n", + "## plot data\n", + "plt.plot(range(history_data.shape[0]), history_data, label='History', linewidth=2, color='black')\n", + "plt.plot(range(history_data.shape[0], history_data.shape[0]+real_value_data.shape[0]), real_value_data, label='Real Values', linewidth=1.5, color=\"green\", linestyle='--')\n", + "plt.plot(range(history_data.shape[0], history_data.shape[0]+prediction_data_Crossformer.shape[0]), prediction_data_Crossformer, label='Crossformer', linewidth=2, color=\"red\")\n", + "plt.grid()\n", + "plt.legend(prop={'size': 16}, loc=2)\n", + "plt.xticks(size=16)\n", + "plt.yticks(size=16)\n", + "plt.savefig(\"prediction_vis_Crossformer.png\", bbox_inches='tight')\n", + "plt.show()\n", + "plt.clf()" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot data\n", + "prediction_data_Autoformer = prediction_Autoformer[batch_id, :, variate_id, 0]\n", + "prediction_data_FEDformer = prediction_FEDformer[batch_id, :, variate_id, 0]\n", + "prediction_data_Crossformer = prediction_Crossformer[batch_id, :, variate_id, 0]\n", + "prediction_data_PatchTST = prediction_PatchTST[batch_id, :, variate_id, 0]\n", + "real_value_data = real_value[batch_id, :, variate_id, 0]\n", + "history_data = history[batch_id, :, variate_id, 0]\n", + "## plot data\n", + "plt.plot(range(history_data.shape[0]), history_data, label='History', linewidth=2, color='black')\n", + "plt.plot(range(history_data.shape[0], history_data.shape[0]+real_value_data.shape[0]), real_value_data, label='Real Values', linewidth=1.5, color=\"green\", linestyle='--')\n", + "plt.plot(range(history_data.shape[0], history_data.shape[0]+prediction_data_PatchTST.shape[0]), prediction_data_PatchTST, label='PatchTST', linewidth=2, color=\"red\")\n", + "plt.grid()\n", + "plt.legend(prop={'size': 16})\n", + "plt.xticks(size=16)\n", + "plt.yticks(size=16)\n", + "plt.savefig(\"prediction_vis_PatchTST.png\", bbox_inches='tight')\n", + "plt.show()\n", + "plt.clf()" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1434" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "batch_id" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "variate_id" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "BasicTS", + "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": "3.9.15" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/scripts/paper_scripts/readme.md b/scripts/paper_scripts/readme.md new file mode 100644 index 00000000..2898176d --- /dev/null +++ b/scripts/paper_scripts/readme.md @@ -0,0 +1 @@ +These scripts are not well-documentated. They are used to generate the figures/tables/mid-results in the paper. \ No newline at end of file