{ "cells": [ { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "题号: 012508 , 字段: ans 中已修改数据: $(-2,0]$\n", "题号: 012509 , 字段: ans 中已修改数据: $4$\n", "题号: 012510 , 字段: ans 中已修改数据: $36\\pi$\n", "题号: 012511 , 字段: ans 中已修改数据: $35$\n", "题号: 012512 , 字段: ans 中已修改数据: $2$\n", "题号: 012513 , 字段: ans 中已修改数据: $3$\n", "题号: 012514 , 字段: ans 中已修改数据: $y=3x-1$\n", "题号: 012515 , 字段: ans 中已修改数据: $\\dfrac 25$\n", "题号: 012516 , 字段: ans 中已修改数据: $-1$\n", "题号: 012517 , 字段: ans 中已修改数据: $\\cos(4x+\\dfrac \\pi 3)$\n", "题号: 012518 , 字段: ans 中已修改数据: $\\dfrac{49}{24}\\sqrt{6}$\n", "题号: 012519 , 字段: ans 中已修改数据: \\textcircled{1}\\textcircled{4}\n", "题号: 012520 , 字段: ans 中已修改数据: A\n", "题号: 012521 , 字段: ans 中已修改数据: D\n", "题号: 012522 , 字段: ans 中已修改数据: B\n", "题号: 012523 , 字段: ans 中已修改数据: C\n", "题号: 012524 , 字段: ans 中已修改数据: (1) $\\dfrac \\pi 3$; (2) 证明略\n", "题号: 012525 , 字段: ans 中已修改数据: (1) $a_n=2n$; (2) $6$\n", "题号: 012526 , 字段: ans 中已修改数据: (1) 证明略; (2) $\\dfrac{2\\sqrt{42}}7$; (3) 存在, $|A_1E|=1$\n", "题号: 012527 , 字段: ans 中已修改数据: (1) $X\\sim \\begin{pmatrix} 155 & 165 & 175 & 185 & 195 & 205\\\\ 0.22 & 0.27 & 0.25 & 0.15 & 0.1 & 0.01\\end{pmatrix}$, $E[X]=171.7$; (2) $0.0312$; (3) $27.25$\n", "题号: 012528 , 字段: ans 中已修改数据: (1) 在$(-\\infty,2-\\dfrac{\\sqrt{3a}}3]$上是严格增函数, 在$[2-\\dfrac{\\sqrt{3a}}3,2+\\dfrac{\\sqrt{3a}}3]$上是严格减函数, 在$[2+\\dfrac{\\sqrt{3a}}3,+\\infty)$上是严格增函数; (2) 是定值$6$; (3) $\\{4,12\\}$\n", "题号: 012676 , 字段: ans 中已修改数据: $(-2,1)$\n", "题号: 012677 , 字段: ans 中已修改数据: $4$\n", "题号: 012678 , 字段: ans 中已修改数据: $(-\\infty,2)$\n", "题号: 012679 , 字段: ans 中已修改数据: $80$\n", "题号: 012680 , 字段: ans 中已修改数据: $\\dfrac\\pi 2$\n", "题号: 012681 , 字段: ans 中已修改数据: $-7$\n", "题号: 012682 , 字段: ans 中已修改数据: $0.36$\n", "题号: 012683 , 字段: ans 中已修改数据: $12$\n", "题号: 012684 , 字段: ans 中已修改数据: $\\dfrac{18}{35}$\n", "题号: 012685 , 字段: ans 中已修改数据: $8$\n", "题号: 012686 , 字段: ans 中已修改数据: $(-\\pi,-\\dfrac\\pi 2)$和$(0,\\dfrac\\pi 2)$\n", "题号: 012687 , 字段: ans 中已修改数据: $9$\n", "题号: 012688 , 字段: ans 中已修改数据: B\n", "题号: 012689 , 字段: ans 中已修改数据: D\n", "题号: 012690 , 字段: ans 中已修改数据: B\n", "题号: 012691 , 字段: ans 中已修改数据: D\n", "题号: 012692 , 字段: ans 中已修改数据: (1) $a_n=5-n$; (2) $n=4$或$5$\n", "题号: 012693 , 字段: ans 中已修改数据: (1) 证明略; (2) $\\dfrac 14$\n", "题号: 012694 , 字段: ans 中已修改数据: (1) $247.4$米; (2) $AB=AD=100\\sqrt{5}$米, $\\angle C=\\dfrac\\pi 2$\n", "题号: 012695 , 字段: ans 中已修改数据: (1) $F_1(-\\sqrt{3},0)$, $F_2(\\sqrt{3},0)$, $e_1=\\dfrac{\\sqrt{3}}2$; (2) $2$; (3) 证明略\n", "题号: 012696 , 字段: ans 中已修改数据: (1) $f_1(x)$不是$T(1)$函数, $f_2(x)$是$T(1)$函数; (2) 存在, $b$的取值范围为$(1-\\dfrac 1{\\mathrm{e}},+\\infty)$; (3) 证明略\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 3.9.15 ('pythontest')", "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": "3.9.15" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "91219a98e0e9be72efb992f647fe78b593124968b75db0b865552d6787c8db93" } } }, "nbformat": 4, "nbformat_minor": 2 }