This repository has been archived on 2024-06-23. You can view files and clone it, but cannot push or open issues or pull requests.
mathdeptv2/工具/根据目标列表批量生成对应题目的字典.ipynb

121 lines
2.5 KiB
Plaintext

{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"with open(\"../题库0.3/Problems.json\",\"r\",encoding = \"utf8\") as f:\n",
" database = f.read()\n",
"import json\n",
"pro_dict = json.loads(database)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# 输入目标列表\n",
"t = \"\"\"K0624001X\n",
"K0624002X\n",
"K0624003X\n",
"K0625001X\n",
"K0625002X\n",
"K0625003X\n",
"K0625004X\n",
"K0626001X\n",
"K0626002X\n",
"K0626003X\n",
"K0626004X\n",
"K0627001X\n",
"K0627002X\n",
"K0627003X\n",
"K0627004X\n",
"K0627005X\n",
"K0627006X\n",
"K0627007X\n",
"K0628001X\n",
"K0628002X\n",
"K0628003X\n",
"K0628004X\n",
"K0628005X\"\"\""
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\"K0624001X\":\"000291\",\n",
"\"K0625001X\":\"000292\",\n",
"\"K0625004X\":\"000301\",\n"
]
}
],
"source": [
"dict1 = {}\n",
"for o in [l.strip() for l in t.split(\"\\n\") if len(l.strip())>0]:\n",
" dict1[o] = []\n",
"for id in pro_dict:\n",
" for o in dict1:\n",
" objs = pro_dict[id][\"objs\"]\n",
" flag = True\n",
" if not o in objs:\n",
" flag = False\n",
" for obj in objs:\n",
" if obj > o:\n",
" flag = False\n",
" break\n",
" if flag:\n",
" dict1[o].append(id)\n",
"for o in dict1:\n",
" if not dict1[o] == []:\n",
" print('\"'+o+'\":\"'+\",\".join(dict1[o])+'\",')"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.8.8 ('base')",
"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": "3.8.8"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "d311ffef239beb3b8f3764271728f3972d7b090c974f8e972fcdeedf230299ac"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}