120 lines
3.1 KiB
Plaintext
120 lines
3.1 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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"011988 填空题\n",
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"011989 填空题\n",
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"011990 填空题\n",
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"011991 填空题\n",
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"011992 填空题\n",
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"011993 填空题\n",
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"011994 填空题\n",
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"011995 填空题\n",
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"011996 填空题\n",
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"011997 填空题\n",
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"011998 填空题\n",
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"011999 填空题\n",
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"012000 选择题\n",
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"012001 选择题\n",
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"012002 选择题\n",
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"012003 选择题\n",
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"012004 解答题\n",
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"012005 解答题\n",
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"012006 解答题\n",
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"012007 解答题\n",
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"012008 解答题\n",
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"012009 填空题\n",
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"012010 填空题\n",
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"012011 填空题\n",
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"012012 填空题\n",
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"012013 填空题\n",
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"012014 填空题\n",
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"012015 填空题\n",
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"012016 填空题\n",
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"012017 填空题\n",
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"012018 填空题\n",
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"012019 填空题\n",
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"012020 填空题\n",
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"012021 选择题\n",
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"012022 选择题\n",
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"012023 选择题\n",
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"012024 选择题\n",
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"012025 解答题\n",
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"012026 解答题\n",
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"012027 解答题\n",
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"012028 解答题\n",
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"012029 解答题\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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"# 读取数据库并转成题目字典\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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"#根据特征字符识别题目类型\n",
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"for p in pro_dict:\n",
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" if pro_dict[p][\"genre\"] == \"\":\n",
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" if \"bracket\" in pro_dict[p][\"content\"]:\n",
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" pro_dict[p][\"genre\"] = \"选择题\"\n",
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" print(p,\"选择题\")\n",
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" elif \"blank\" in pro_dict[p][\"content\"]:\n",
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" pro_dict[p][\"genre\"] = \"填空题\"\n",
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" print(p,\"填空题\")\n",
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" else:\n",
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" pro_dict[p][\"genre\"] = \"解答题\"\n",
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" print(p,\"解答题\")\n",
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"\n",
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"#将修改结果写入json数据库\n",
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"database = json.dumps(pro_dict,indent = 4, ensure_ascii= False)\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(database)"
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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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