{ "cells": [ { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "题号: 002010 , 字段: ans 中已修改数据: $6$或$-2+12\\mathrm{i}$或$2-8\\mathrm{i}$\n", "题号: 002020 , 字段: ans 中已修改数据: $1+\\dfrac{14}5\\mathrm{i}$\n", "题号: 003521 , 字段: ans 中已修改数据: $\\dfrac\\pi 2$\n", "题号: 002018 , 字段: ans 中已修改数据: $4$\n", "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", "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", "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", "题号: 002057 , 字段: ans 中已修改数据: $2+\\mathrm{i}$与$-2-\\mathrm{i}$\n", "题号: 003542 , 字段: ans 中已修改数据: \\textcircled{2}\\textcircled{5}\n", "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", "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", "题号: 003544 , 字段: ans 中已修改数据: $p=12$, $q=26$\n", "题号: 002085 , 字段: ans 中已修改数据: 证明略\n", "题号: 002086 , 字段: ans 中已修改数据: $\\dfrac 52$或$-2$\n", "题号: 000163 , 字段: ans 中已修改数据: (1) $11$, $-60$, $61$, $11+60\\mathrm{i}$; (2) \\textcircled{3}\n", "题号: 003519 , 字段: ans 中已修改数据: B\n", "题号: 003520 , 字段: ans 中已修改数据: A\n", "题号: 003523 , 字段: ans 中已修改数据: $a+b\\mathrm{i}$\n", "题号: 003522 , 字段: ans 中已修改数据: $-2+\\mathrm{i}$\n", "题号: 002012 , 字段: ans 中已修改数据: 二\n", "题号: 002016 , 字段: ans 中已修改数据: $\\{-2,0\\}$\n", "题号: 002017 , 字段: ans 中已修改数据: $40$\n", "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", "题号: 007313 , 字段: ans 中已修改数据: $3+2\\mathrm{i}$与$-3-2\\mathrm{i}$\n", "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", "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", "题号: 004167 , 字段: ans 中已修改数据: $2\\sqrt{3}$\n", "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", "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" ] } ], "source": [ "import os,re,json\n", "\n", "\"\"\"---明确数据文件位置---\"\"\"\n", "datafile = \"文本文件/metadata.txt\"\n", "# 双回车分隔,记录内单回车分隔列表,首行为字段名\n", "\"\"\"---文件位置结束---\"\"\"\n", "\n", "def trim(string):\n", " string = re.sub(r\"^[ \\t\\n]*\",\"\",string)\n", " string = re.sub(r\"[ \\t\\n]*$\",\"\",string)\n", " return string\n", "def FloatToInt(string):\n", " f = float(string)\n", " if abs(f-round(f))<0.01:\n", " f = round(f)\n", " return f\n", "\n", "with open(datafile,\"r\",encoding=\"utf8\") as f:\n", " data = f.read()\n", "pos = data.index(\"\\n\")\n", "field = data[:pos].strip()\n", "appending_data = data[pos:]\n", "\n", "with open(r\"../题库0.3/Problems.json\",\"r\",encoding = \"utf8\") as f:\n", " database = f.read()\n", "pro_dict = json.loads(database)\n", "with open(r\"../题库0.3/LessonObj.json\",\"r\",encoding = \"utf8\") as f:\n", " database = f.read()\n", "obj_dict = json.loads(database)\n", "\n", "#该字段列表可能需要更新\n", "fields = [\"content\",\"objs\",\"tags\",\"genre\",\"ans\",\"solution\",\"duration\",\"usages\",\"origin\",\"edit\",\"same\",\"related\",\"remark\",\"space\"]\n", "\n", "if field in fields:\n", " field_type = type(pro_dict[\"000001\"][field])\n", " datalist = [record.strip() for record in appending_data.split(\"\\n\\n\") if len(trim(record)) > 0]\n", " for record in datalist:\n", " id = re.findall(r\"^[\\d]{1,}\",record)[0]\n", " data = record[len(id):].strip()\n", " id = id.zfill(6)\n", " if not id in pro_dict:\n", " print(\"题号:\",id,\"不在数据库中.\")\n", " break\n", " \n", " #字符串类型字段添加数据\n", " elif field_type == str and data in pro_dict[id][field]:\n", " print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",data)\n", " elif field_type == str and not data in pro_dict[id][field] and not field == \"ans\" and not field == \"space\":\n", " origin_data = pro_dict[id][field]\n", " new_data = trim(origin_data + \"\\n\" + data)\n", " pro_dict[id][field] = new_data\n", " print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",data)\n", " elif field_type == str and not data in pro_dict[id][field] and field == \"ans\" or field == \"space\":\n", " pro_dict[id][field] = data\n", " print(\"题号:\",id,\", 字段:\",field,\"中已修改数据:\",data)\n", " \n", " #数值类型字段添加数据\n", " elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])<0.01:\n", " print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",FloatToInt(data))\n", " elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])>=0.01:\n", " pro_dict[id][field] = FloatToInt(data)\n", " print(\"题号:\",id,\", 字段:\",field,\"中已修改数据:\",FloatToInt(data))\n", " \n", " #列表类型字段添加数据\n", " elif field_type == list:\n", " cell_data_list = [d.strip() for d in data.split(\"\\n\")]\n", " for cell_data in cell_data_list:\n", " if cell_data in pro_dict[id][field]:\n", " print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",cell_data)\n", " elif not field == \"objs\":\n", " pro_dict[id][field].append(cell_data)\n", " print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",cell_data)\n", " else:\n", " if not cell_data in obj_dict and not cell_data.upper() == \"KNONE\":\n", " print(\"题号:\",id,\", 字段:\",field,\"目标编号有误:\",cell_data)\n", " else:\n", " pro_dict[id][field].append(cell_data.upper())\n", " print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",cell_data.upper())\n", "\n", "with open(r\"../题库0.3/Problems.json\",\"w\",encoding = \"utf8\") as f:\n", " f.write(json.dumps(pro_dict,indent=4,ensure_ascii=False))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3.9.7 ('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": "3.9.7" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "e4cce46d6be9934fbd27f9ca0432556941ea5bdf741d4f4d64c6cd7f8dfa8fba" } } }, "nbformat": 4, "nbformat_minor": 2 }