199 lines
8.2 KiB
Plaintext
199 lines
8.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"开始编译教师版本pdf文件: 临时文件/批量生成题目/test1_教师用_20221007.tex\n",
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"0\n",
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"开始编译学生版本pdf文件: 临时文件/批量生成题目/test1_学生用_20221007.tex\n",
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"0\n",
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"开始编译教师版本pdf文件: 临时文件/批量生成题目/test2_教师用_20221007.tex\n",
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"0\n",
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"开始编译学生版本pdf文件: 临时文件/批量生成题目/test2_学生用_20221007.tex\n",
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"0\n"
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]
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}
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],
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"source": [
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"import os,re,time,json\n",
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"\n",
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"\"\"\"\n",
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"模板文件目录下 题目清单.tex 文件不能缺失\n",
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"\"\"\"\n",
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"\n",
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"\"\"\"---设置题目列表---\"\"\"\n",
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"#字典字段为文件名, 之后为内容的题号\n",
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"problems_dict = {\n",
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"\"test1\":\"1:100\",\n",
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"\"test2\":\"101:110\"\n",
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"\n",
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"}\n",
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"\n",
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"\"\"\"---设置题目列表结束---\"\"\"\n",
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"\n",
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"\"\"\"---设置文件保存路径---\"\"\"\n",
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"#目录和文件的分隔务必用/\n",
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"directory = \"临时文件/批量生成题目/\"\n",
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"\"\"\"---设置文件名结束---\"\"\"\n",
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"\n",
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"\n",
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"\n",
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"#生成数码列表, 逗号分隔每个区块, 区块内部用:表示整数闭区间\n",
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"def generate_number_set(string,dict):\n",
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" string = re.sub(r\"[\\n\\s]\",\"\",string)\n",
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" string_list = string.split(\",\")\n",
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" numbers_list = []\n",
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" for s in string_list:\n",
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" if not \":\" in s:\n",
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" numbers_list.append(s.zfill(6))\n",
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" else:\n",
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" start,end = s.split(\":\")\n",
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" for ind in range(int(start),int(end)+1):\n",
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" numbers_list.append(str(ind).zfill(6))\n",
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" return numbers_list\n",
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"\n",
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"#将正确率转化为含颜色代码的字符串\n",
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"def get_color(value):\n",
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" value = float(value)\n",
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" if value>=0.5:\n",
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" (r,g,b)=(1,2-2*value,0)\n",
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" else:\n",
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" (r,g,b)=(2*value,1,0)\n",
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" return \"{\" + \"%.3f\" %(r) + \",\" + \"%.3f\" %(g) + \",0}\"\n",
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"\n",
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"\n",
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"def color_value(matchobj):\n",
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" value = matchobj.group(1)\n",
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" return \"\\t\"+\"\\\\fcolorbox[rgb]{0,0,0}\"+ get_color(value) +\"{\" + value +\"}\"\n",
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"\n",
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"\n",
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"#读取题库json文件并转化为字典\n",
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"with open(r\"../题库0.3/Problems.json\",\"r\",encoding = \"utf8\") as f:\n",
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" database = f.read()\n",
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"pro_dict = json.loads(database)\n",
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"\n",
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"#读取目标数据库json并转化为字典\n",
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"with open(r\"../题库0.3/LessonObj.json\",\"r\",encoding = \"utf8\") as f:\n",
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" database = f.read()\n",
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"obj_dict = json.loads(database)\n",
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"\n",
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"try:\n",
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" os.mkdir(directory)\n",
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"except:\n",
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" pass\n",
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"\n",
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"#读取系统日期\n",
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"current_time = time.localtime()\n",
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"time_string = \"_\"+str(current_time.tm_year).zfill(4)+str(current_time.tm_mon).zfill(2)+str(current_time.tm_mday).zfill(2)\n",
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"\n",
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"for filename in problems_dict:\n",
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" problems = problems_dict[filename]\n",
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" teachers_latex_file = directory + filename + \"_教师用\" + time_string + \".tex\"\n",
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" students_latex_file = directory + filename + \"_学生用\" + time_string + \".tex\"\n",
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"\n",
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" #生成题目列表\n",
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" problem_list = [id for id in generate_number_set(problems.strip(),pro_dict) if id in pro_dict]\n",
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"\n",
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" data_teachers = \"\"\n",
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" data_students = \"\"\n",
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" id_list = \"\"\n",
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"\n",
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" #生成教师题目字符串与学生题目字符串, 准备替换至latex文件\n",
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" for id in problem_list:\n",
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" problemset = pro_dict[id]\n",
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" problem = problemset[\"content\"]\n",
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" solution = (problemset[\"solution\"] if problemset[\"solution\"] != \"\" else \"暂无解答与提示\")\n",
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" answer = \"\\\\textcolor{red}{\" + (problemset[\"ans\"] if problemset[\"ans\"] != \"\" else \"暂无答案\") + \"}\"\n",
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" remarks = (problemset[\"remark\"] if problemset[\"remark\"] != \"\" else \"暂无备注\")\n",
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" usages_list = problemset[\"usages\"]\n",
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" if len(usages_list) > 0:\n",
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" usage = re.sub(\"\\\\t([\\d]\\.[\\d]{0,10})\",color_value,\"\\n\\n\".join(usages_list))\n",
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" usage = re.sub(\"[\\\\t ]([\\d]\\.[\\d]{0,10})\",color_value,usage)\n",
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" else:\n",
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" usage = \"暂无使用记录\"\n",
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" origin = (problemset[\"origin\"] if problemset[\"origin\"] != \"\" else \"出处不详\")\n",
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" objects = problemset[\"objs\"]\n",
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" if len(objects) == 0:\n",
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" objects = \"暂未关联目标\\n\\n\"\n",
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" elif \"KNONE\" in [o.upper() for o in objects]:\n",
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" objects = \"该题的考查目标不在目前的集合中\\n\\n\"\n",
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" else:\n",
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" objects_string = \"\"\n",
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" for obj in objects:\n",
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" if not obj in obj_dict:\n",
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" objects_string = \"目标\" + obj + \"有误\\n\\n\"\n",
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" break\n",
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" else:\n",
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" objects_string += \"\\\\textcolor{blue}{\" + obj + \"|\" + obj_dict[obj][\"content\"] + \"}\\n\\n\"\n",
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" objects = objects_string\n",
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" space = (\"\" if problemset[\"space\"] == \"\" else r\"\\vspace*{\"+problemset[\"space\"]+\"}\\n\")\n",
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" tags = (\"|\".join(problemset[\"tags\"]) if len(problemset[\"origin\"])>0 else \"暂无标签\")\n",
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" raw_string = \"\\\\item \" + \"{\\\\tiny (\"+id+\")}\"+problem\n",
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" teachers_string = raw_string.replace(\"\\\\tiny\",\"\")+\"\\n\\n关联目标:\\n\\n\"+ objects + \"\\n\\n标签: \" + tags + \"\\n\\n答案: \"+answer + \"\\n\\n\" + \"解答或提示: \" + solution + \"\\n\\n使用记录:\\n\\n\"+ usage + \"\\n\" + \"\\n\\n出处: \"+origin + \"\\n\"\n",
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" students_string = raw_string + space + \"\\n\\n\"\n",
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" data_teachers += teachers_string\n",
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" data_students += students_string\n",
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"\n",
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"\n",
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"\n",
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" #替换latex文件的内容并编译\n",
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" with open(\"模板文件/题目清单.tex\",\"r\",encoding = \"utf8\") as f:\n",
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" latex_raw = f.read()\n",
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" latex_teachers = latex_raw.replace(\"编译模板\",data_teachers)\n",
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" with open(teachers_latex_file,\"w\",encoding = \"utf8\") as f:\n",
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" f.write(latex_teachers)\n",
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" print(\"开始编译教师版本pdf文件: \", teachers_latex_file)\n",
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" os.system(\"xelatex -interaction=batchmode -output-directory=\" + directory + \" \"+ teachers_latex_file)\n",
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" print(os.system(\"xelatex -interaction=batchmode -output-directory=\" + directory + \" \"+ teachers_latex_file))\n",
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"\n",
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" latex_students = latex_raw.replace(\"编译模板\",data_students)\n",
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" with open(students_latex_file,\"w\",encoding = \"utf8\") as f:\n",
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" f.write(latex_students)\n",
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" print(\"开始编译学生版本pdf文件: \", students_latex_file)\n",
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" os.system(\"xelatex -interaction=batchmode -output-directory=\" + directory + \" \"+ students_latex_file)\n",
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" print(os.system(\"xelatex -interaction=batchmode -output-directory=\" + directory + \" \"+ students_latex_file))\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.8.8 ('base')",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "d311ffef239beb3b8f3764271728f3972d7b090c974f8e972fcdeedf230299ac"
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}
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"nbformat": 4,
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"nbformat_minor": 2
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}
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