113 lines
3.1 KiB
Plaintext
113 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": 2,
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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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"1 填空题 1\n",
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"2 填空题 1\n",
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"3 填空题 1\n",
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"4 填空题 1\n",
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"5 填空题 1\n",
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"6 填空题 1\n",
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"7 填空题 1\n",
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"8 填空题 1\n",
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"9 解答题 1\n",
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"10 解答题 1\n",
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"11 解答题 2\n",
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"12 解答题 1\n",
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"13 解答题 1\n",
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"14 解答题 1\n",
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"15 填空题 1\n",
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"16 选择题 1\n",
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"1 填空题 1\n",
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"2 填空题 1\n",
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"3 填空题 1\n",
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"4 填空题 1\n",
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"5 填空题 1\n",
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"6 选择题 1\n",
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"7 选择题 1\n",
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"8 解答题 1\n",
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"9 解答题 1\n",
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"10 解答题 1\n",
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"11 解答题 1\n",
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"12 选择题 1\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\n",
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"#修改文件名\n",
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"filename = r\"C:\\Users\\Wang Weiye\\Documents\\wwy sync\\23届\\第一轮复习讲义\\12_和差倍角公式.tex\"\n",
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"outputfile = \"临时文件/题目状态.txt\"\n",
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"\n",
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"outputstr = \"\"\n",
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"with open(filename,\"r\",encoding = \"utf8\") as f:\n",
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" data = f.read()\n",
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"sections = re.findall(r\"\\\\begin\\{enumerate\\}([\\s\\S]*?\\\\end\\{enumerate\\})\",data)\n",
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"for sec in sections:\n",
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" sec = sec.replace(\"\\\\item\",\"\\\\enditem\\\\item\").replace(\"\\\\end{enumerate}\",\"\\\\enditem\")\n",
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" problems = re.findall(r\"\\\\item([\\s\\S]*?)\\\\enditem\",sec)\n",
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" count = 0\n",
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" for p in problems:\n",
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" count += 1\n",
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" if \"\\\\bracket\" in p:\n",
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" genre = \"选择题\"\n",
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" parts = len(re.findall(r\"\\\\bracket\",p))\n",
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" elif \"\\\\blank\" in p:\n",
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" genre = \"填空题\"\n",
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" parts = len(re.findall(r\"\\\\blank\",p))\n",
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" else:\n",
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" genre = \"解答题\"\n",
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" parts = len(re.findall(r\"\\([\\d]{1,2}\\)\",p))\n",
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" if parts == 0:\n",
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" parts = 1\n",
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" print(count,genre,parts)\n",
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" outputstr += str(count) + \"-\" + genre + \"-\" + str(parts) + \"\\n\"\n",
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" outputstr += \"\\n\"\n",
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"with open(outputfile,\"w\",encoding = \"utf8\") as f:\n",
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" f.write(outputstr)"
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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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}
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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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