{ "cells": [ { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "题号: 012613 , 字段: ans 中已有该数据: $\\{2,4\\}$\n", "题号: 012614 , 字段: ans 中已有该数据: $(1,2)$\n", "题号: 012615 , 字段: ans 中已有该数据: $\\dfrac{\\sqrt{2}}2$\n", "题号: 012616 , 字段: ans 中已有该数据: $3$\n", "题号: 012617 , 字段: ans 中已有该数据: $3$\n", "题号: 012618 , 字段: ans 中已有该数据: \\textcircled{1}\\textcircled{4}\n", "题号: 012619 , 字段: ans 中已有该数据: $180$\n", "题号: 012620 , 字段: ans 中已有该数据: $4$\n", "题号: 012621 , 字段: ans 中已有该数据: $\\dfrac 52$\n", "题号: 012622 , 字段: ans 中已有该数据: $\\dfrac\\pi 4$\n", "题号: 012623 , 字段: ans 中已有该数据: $\\dfrac{8\\sqrt{2}\\pi}3$\n", "题号: 012624 , 字段: ans 中已有该数据: $\\dfrac{8\\sqrt{3}}3$\n", "题号: 012625 , 字段: ans 中已有该数据: A\n", "题号: 012626 , 字段: ans 中已有该数据: C\n", "题号: 012627 , 字段: ans 中已有该数据: D\n", "题号: 012628 , 字段: ans 中已有该数据: C\n", "题号: 012629 , 字段: ans 中已有该数据: (1) $b_n=3^{n-1}$; (2) $-8$\n", "题号: 012630 , 字段: ans 中已有该数据: (1) $\\dfrac \\pi 4$; (2) $1$\n", "题号: 012631 , 字段: ans 中已有该数据: (1) 证明略; (2) 证明略; (3) $\\dfrac\\pi 4$\n", "题号: 012632 , 字段: ans 中已有该数据: (1) $\\sqrt{2}$; (2) $y=x+1$; (3) 过定点$(-3,0)$和$(1,0)$\n", "题号: 012633 , 字段: ans 中已有该数据: (1) $y=x-1$; (2) 单调减区间为$(\\dfrac 12 1)$; 极小值为$-2$; (3) 证明略\n", "题号: 012571 , 字段: ans 中已有该数据: $\\{1\\}$\n", "题号: 012572 , 字段: ans 中已有该数据: $-1$\n", "题号: 012573 , 字段: ans 中已有该数据: $\\dfrac\\pi 6$\n", "题号: 012574 , 字段: ans 中已有该数据: $2$\n", "题号: 012575 , 字段: ans 中已有该数据: $16\\pi$\n", "题号: 012576 , 字段: ans 中已有该数据: $2800$, $31$\n", "题号: 012577 , 字段: ans 中已有该数据: $2$\n", "题号: 012578 , 字段: ans 中已有该数据: $(-\\infty,1)\\cup (1,3]$\n", "题号: 012579 , 字段: ans 中已有该数据: $5$\n", "题号: 012580 , 字段: ans 中已有该数据: $[\\dfrac 32,2]$\n", "题号: 012581 , 字段: ans 中已有该数据: $(\\dfrac 72,0,\\dfrac 72)$\n", "题号: 012582 , 字段: ans 中已有该数据: $\\dfrac{\\sqrt{3}}{20}v$\n", "题号: 012583 , 字段: ans 中已有该数据: A\n", "题号: 012584 , 字段: ans 中已有该数据: D\n", "题号: 012585 , 字段: ans 中已有该数据: C\n", "题号: 012586 , 字段: ans 中已有该数据: C\n", "题号: 012587 , 字段: ans 中已有该数据: (1) 证明略; (2) $\\dfrac{3\\sqrt{22}}{11}$\n", "题号: 012588 , 字段: ans 中已有该数据: (1) $\\dfrac 12$; (2) $a_n=\\dfrac{18}{2n+1}$\n", "题号: 012589 , 字段: ans 中已有该数据: (1) 例如: 非通勤时段的车辆使用情况; 油价和电价的变化; 工作单位能否提供免费充电; 电动车的国家减免政策的变化; 车辆的外观、内饰与品牌效应; 车牌费用等; (2) 解答略\n", "题号: 012590 , 字段: ans 中已有该数据: (1) $\\dfrac{x^2}4+\\dfrac{y^2}3=1$($y\\le 0$); (2) $P(-\\dfrac 32,\\dfrac{\\sqrt{3}}2)$, $Q(\\dfrac 32, \\dfrac{\\sqrt{3}}2)$; (3) $[\\sqrt{3}-1,\\sqrt{2}+1]$\n", "题号: 012591 , 字段: ans 中已有该数据: (1) 导数为$y'=\\dfrac{1-\\ln x}{x^2}$, 单调性证明略; (2) 判断$89^{99}>99^{89}$, 证明略, 推广可以是:``对于实数$a,b$, 若$\\mathrm{e}b^a$; (3) 证明略\n", "题号: 010965 , 字段: ans 中已修改数据: $[0,2]$\n", "题号: 010966 , 字段: ans 中已修改数据: $(-\\infty,0)$\n", "题号: 030023 , 字段: ans 中已修改数据: $\\dfrac{3n^2-5n}2$\n", "题号: 010968 , 字段: ans 中已修改数据: $\\dfrac{8\\pi}3$\n", "题号: 010969 , 字段: ans 中已修改数据: $2(x+2)-(y-1)=0$\n", "题号: 010970 , 字段: ans 中已修改数据: $\\dfrac 32$\n", "题号: 030025 , 字段: ans 中已修改数据: $[0,\\dfrac 34]$\n", "题号: 010972 , 字段: ans 中已修改数据: $25$\n", "题号: 030024 , 字段: ans 中已修改数据: $\\dfrac 23(\\dfrac 1{4^n}-1)$\n", "题号: 010974 , 字段: ans 中已修改数据: $[1,+\\infty)$\n", "题号: 010975 , 字段: ans 中已修改数据: $\\sqrt{3}$\n", "题号: 010976 , 字段: ans 中已修改数据: $3-\\sqrt{3}$\n", "题号: 010977 , 字段: ans 中已修改数据: B\n", "题号: 002745 , 字段: ans 中已修改数据: C\n", "题号: 010979 , 字段: ans 中已修改数据: C\n", "题号: 010980 , 字段: ans 中已修改数据: B\n", "题号: 010981 , 字段: ans 中已修改数据: (1) $\\dfrac 23$; (2) $\\arctan {2\\sqrt{5}}5$\n", "题号: 010982 , 字段: ans 中已修改数据: (1) $\\log_2 3$; (2) $a=2b\\ne 0$\n", "题号: 010983 , 字段: ans 中已修改数据: (1) $\\sqrt{7}$千米; (2) 有$\\dfrac{8-\\sqrt{15}}7$小时, 两人不能通话\n", "题号: 010984 , 字段: ans 中已修改数据: (1) $y^2=4\\sqrt{5} x$或$y^2=-4\\sqrt{5} x$; (2) $M$的坐标为$(0,0)$或$(-\\dfrac{4\\sqrt{5}}5,0)$; (3) 证明略\n", "题号: 010985 , 字段: ans 中已修改数据: (1) $\\{-6,-3,-2,-1,0,1,2,3,4\\}$; (2) 证明略; (3) 元素个数为$\\dfrac 12 n(n+1)$; 元素之和为$\\dfrac{n+1}2(3^{n+1}-3)$\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": "mathdept", "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": "ff3c292c316ba85de6f1ad75f19c731e79d694e741b6f515ec18f14996fe48dc" } } }, "nbformat": 4, "nbformat_minor": 2 }