164 lines
8.5 KiB
Plaintext
164 lines
8.5 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 5,
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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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"题号: 002010 , 字段: ans 中已修改数据: $6$或$-2+12\\mathrm{i}$或$2-8\\mathrm{i}$\n",
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"题号: 002020 , 字段: ans 中已修改数据: $1+\\dfrac{14}5\\mathrm{i}$\n",
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"题号: 003521 , 字段: ans 中已修改数据: $\\dfrac\\pi 2$\n",
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"题号: 002018 , 字段: ans 中已修改数据: $4$\n",
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"题号: 003524 , 字段: ans 中已修改数据: (1) 直线$y=0$; (2) 圆$(x+1)^2+y^2=1$; (3) 椭圆$\\dfrac{x^2}{36}+\\dfrac{y^2}{11}=1$; (4) 线段$y=0 \\ (x\\in [-1,1])$; (5) 双曲线的一支: $y^2-\\dfrac{x^2}{3}=1 \\ (y<0)$\n",
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"题号: 003534 , 字段: ans 中已修改数据: (1) $[4\\sqrt{2}-2,4\\sqrt{2}+2]$; (2) $(3+\\sqrt{2})-(4+\\sqrt{2})\\mathrm{i}$\n",
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"题号: 003535 , 字段: ans 中已修改数据: 以$(1,0)$为圆心, $\\dfrac 12$为半径的圆\n",
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"题号: 002057 , 字段: ans 中已修改数据: $2+\\mathrm{i}$与$-2-\\mathrm{i}$\n",
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"题号: 003542 , 字段: ans 中已修改数据: \\textcircled{2}\\textcircled{5}\n",
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"题号: 000168 , 字段: ans 中已修改数据: (1) 解为$2+\\mathrm{i}$与$2-\\mathrm{i}$; (2) 解为$\\dfrac{-1+\\sqrt{10}}3$与$\\dfrac{-1-\\sqrt{10}}3$\n",
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"题号: 030110 , 字段: ans 中已修改数据: (1) $-1\\pm \\dfrac{\\sqrt{2}}2\\mathrm{i}$; (2) $2(x+1+\\dfrac{\\sqrt{2}}2\\mathrm{i})(x+1-\\dfrac{\\sqrt{2}}2\\mathrm{i})$\n",
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"题号: 003544 , 字段: ans 中已修改数据: $p=12$, $q=26$\n",
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"题号: 002085 , 字段: ans 中已修改数据: 证明略\n",
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"题号: 002086 , 字段: ans 中已修改数据: $\\dfrac 52$或$-2$\n",
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"题号: 000163 , 字段: ans 中已修改数据: (1) $11$, $-60$, $61$, $11+60\\mathrm{i}$; (2) \\textcircled{3}\n",
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"题号: 003519 , 字段: ans 中已修改数据: B\n",
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"题号: 003520 , 字段: ans 中已修改数据: A\n",
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"题号: 003523 , 字段: ans 中已修改数据: $a+b\\mathrm{i}$\n",
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"题号: 003522 , 字段: ans 中已修改数据: $-2+\\mathrm{i}$\n",
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"题号: 002012 , 字段: ans 中已修改数据: 二\n",
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"题号: 002016 , 字段: ans 中已修改数据: $\\{-2,0\\}$\n",
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"题号: 002017 , 字段: ans 中已修改数据: $40$\n",
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"题号: 003528 , 字段: ans 中已修改数据: 以$(-3,7)$为圆心, $12$为半径的圆\n",
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"题号: 007313 , 字段: ans 中已修改数据: $3+2\\mathrm{i}$与$-3-2\\mathrm{i}$\n",
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"题号: 007314 , 字段: ans 中已修改数据: 解为$\\dfrac{\\sqrt{2}}2+\\dfrac{\\sqrt{2}}2\\mathrm{i}$与$-\\dfrac{\\sqrt{2}}2-\\dfrac{\\sqrt{2}}2\\mathrm{i}$\n",
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"题号: 003758 , 字段: ans 中已修改数据: 不存在推出关系, 因为$P$成立当且仅当$a\\in (-2\\sqrt{2},2\\sqrt{2})$, $Q$成立当且仅当$a\\in [-3,-1]\\cup [1,3]$, $a=0$时$P$成立但$Q$不成立, $a=3$时$Q$成立但$P$不成立\n",
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"题号: 004167 , 字段: ans 中已修改数据: $2\\sqrt{3}$\n",
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"题号: 009032 , 字段: ans 中已修改数据: (1) $(x+\\sqrt{5}\\mathrm{i}y)(x-\\sqrt{5}\\mathrm{i}y)$; (2) $2(x-\\dfrac{3+\\mathrm{i}}2)(x-\\dfrac{3-\\mathrm{i}}2)$\n",
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"题号: 003551 , 字段: ans 中已修改数据: (1) $-\\dfrac 14$或$\\dfrac{17}{4}$; (2) $-\\dfrac 14$或$\\dfrac 94$\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,json\n",
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"\n",
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"\"\"\"---明确数据文件位置---\"\"\"\n",
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"datafile = \"文本文件/metadata.txt\"\n",
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"# 双回车分隔，记录内单回车分隔列表，首行为字段名\n",
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"\"\"\"---文件位置结束---\"\"\"\n",
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"\n",
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"def trim(string):\n",
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" string = re.sub(r\"^[ \\t\\n]*\",\"\",string)\n",
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" string = re.sub(r\"[ \\t\\n]*$\",\"\",string)\n",
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" return string\n",
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"def FloatToInt(string):\n",
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" f = float(string)\n",
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" if abs(f-round(f))<0.01:\n",
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" f = round(f)\n",
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" return f\n",
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"\n",
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"with open(datafile,\"r\",encoding=\"utf8\") as f:\n",
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" data = f.read()\n",
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"pos = data.index(\"\\n\")\n",
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"field = data[:pos].strip()\n",
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"appending_data = data[pos:]\n",
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"\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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"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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"#该字段列表可能需要更新\n",
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"fields = [\"content\",\"objs\",\"tags\",\"genre\",\"ans\",\"solution\",\"duration\",\"usages\",\"origin\",\"edit\",\"same\",\"related\",\"remark\",\"space\"]\n",
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"\n",
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"if field in fields:\n",
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" field_type = type(pro_dict[\"000001\"][field])\n",
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" datalist = [record.strip() for record in appending_data.split(\"\\n\\n\") if len(trim(record)) > 0]\n",
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" for record in datalist:\n",
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" id = re.findall(r\"^[\\d]{1,}\",record)[0]\n",
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" data = record[len(id):].strip()\n",
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" id = id.zfill(6)\n",
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" if not id in pro_dict:\n",
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" print(\"题号:\",id,\"不在数据库中.\")\n",
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" break\n",
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" \n",
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" #字符串类型字段添加数据\n",
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" elif field_type == str and data in pro_dict[id][field]:\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",data)\n",
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" elif field_type == str and not data in pro_dict[id][field] and not field == \"ans\" and not field == \"space\":\n",
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" origin_data = pro_dict[id][field]\n",
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" new_data = trim(origin_data + \"\\n\" + data)\n",
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" pro_dict[id][field] = new_data\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",data)\n",
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" elif field_type == str and not data in pro_dict[id][field] and field == \"ans\" or field == \"space\":\n",
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" pro_dict[id][field] = data\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已修改数据:\",data)\n",
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" \n",
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" #数值类型字段添加数据\n",
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" elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])<0.01:\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",FloatToInt(data))\n",
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" elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])>=0.01:\n",
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" pro_dict[id][field] = FloatToInt(data)\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已修改数据:\",FloatToInt(data))\n",
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" \n",
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" #列表类型字段添加数据\n",
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" elif field_type == list:\n",
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" cell_data_list = [d.strip() for d in data.split(\"\\n\")]\n",
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" for cell_data in cell_data_list:\n",
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" if cell_data in pro_dict[id][field]:\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",cell_data)\n",
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" elif not field == \"objs\":\n",
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" pro_dict[id][field].append(cell_data)\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",cell_data)\n",
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" else:\n",
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" if not cell_data in obj_dict and not cell_data.upper() == \"KNONE\":\n",
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" print(\"题号:\",id,\", 字段:\",field,\"目标编号有误:\",cell_data)\n",
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" else:\n",
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" pro_dict[id][field].append(cell_data.upper())\n",
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" print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",cell_data.upper())\n",
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"\n",
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"with open(r\"../题库0.3/Problems.json\",\"w\",encoding = \"utf8\") as f:\n",
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" f.write(json.dumps(pro_dict,indent=4,ensure_ascii=False))"
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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 3.9.7 ('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": "3.9.7"
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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": "e4cce46d6be9934fbd27f9ca0432556941ea5bdf741d4f4d64c6cd7f8dfa8fba"
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}
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}
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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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