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weiye.wang 2023-01-10 22:55:11 +08:00
parent 537c3f15aa
commit f18763cb44
4 changed files with 16 additions and 16 deletions
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4
工具/修改题目数据库.ipynb
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@ -19,7 +19,7 @@
"source": [ "source": [
"import os,re,json\n", "import os,re,json\n",
"\"\"\"这里编辑题号(列表)后将在vscode中打开窗口, 编辑后保存关闭, 随后运行第二个代码块\"\"\"\n", "\"\"\"这里编辑题号(列表)后将在vscode中打开窗口, 编辑后保存关闭, 随后运行第二个代码块\"\"\"\n",
"problems = \"30526,10916,10917\"\n", "problems = \"31196\"\n",
"\n", "\n",
"def generate_number_set(string,dict):\n", "def generate_number_set(string,dict):\n",
" string = re.sub(r\"[\\n\\s]\",\"\",string)\n", " string = re.sub(r\"[\\n\\s]\",\"\",string)\n",
@ -51,7 +51,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": 3,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [

24
工具/目标挂钩简要清点.ipynb
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@ -2,7 +2,7 @@
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 6, "execution_count": 1,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -24,22 +24,22 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 7, "execution_count": 2,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"第一单元 . 总题数: 1767 , 完成对应题数: 1400\n", "第一单元 . 总题数: 2014 , 完成对应题数: 1400\n",
"第二单元 . 总题数: 2495 , 完成对应题数: 2127\n", "第二单元 . 总题数: 3111 , 完成对应题数: 2127\n",
"第三单元 . 总题数: 2079 , 完成对应题数: 395\n", "第三单元 . 总题数: 2218 , 完成对应题数: 395\n",
"第四单元 . 总题数: 1127 , 完成对应题数: 1033\n", "第四单元 . 总题数: 1444 , 完成对应题数: 1036\n",
"第五单元 . 总题数: 1329 , 完成对应题数: 306\n", "第五单元 . 总题数: 1433 , 完成对应题数: 306\n",
"第六单元 . 总题数: 1074 , 完成对应题数: 431\n", "第六单元 . 总题数: 1383 , 完成对应题数: 431\n",
"第七单元 . 总题数: 1342 , 完成对应题数: 957\n", "第七单元 . 总题数: 1712 , 完成对应题数: 957\n",
"第八单元 . 总题数: 1194 , 完成对应题数: 519\n", "第八单元 . 总题数: 1378 , 完成对应题数: 522\n",
"第九单元 . 总题数: 277 , 完成对应题数: 101\n" "第九单元 . 总题数: 422 , 完成对应题数: 101\n"
] ]
} }
], ],
@ -92,7 +92,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.9.15 (main, Nov 24 2022, 14:39:17) [MSC v.1916 64 bit (AMD64)]" "version": "3.9.15"
}, },
"orig_nbformat": 4, "orig_nbformat": 4,
"vscode": { "vscode": {

2
工具/题号选题pdf生成.ipynb
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@ -2,7 +2,7 @@
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": 2,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {

2
题库0.3/Problems.json
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@ -374549,7 +374549,7 @@
}, },
"031196": { "031196": {
"id": "031196", "id": "031196",
"content": "已知$x$, $y$的取值如下表所示, 从散点图分析可知$y$与$x$线性相关, 如果线性回归方程为$\\hat{y}=0.95 x+2.6$, 那么表格中的数据$m$的值为\\blank{50}.\n\\begin{center}\n\\begin{tabular}{|c|c|c|c|c|}\n\\hline$x$& 0 & 1 & 3 & 4 \\\\\n\\hline$y$&$2.2$&$4.3$&$4.8$&$m$\\\\\n\\hline\n\\end{tabular}\n\\end{center}", "content": "已知$x$, $y$的取值如下表所示, 从散点图分析可知$y$与$x$线性相关, 如果线性回归方程为$y=0.95 x+2.6$, 那么表格中的数据$m$的值为\\blank{50}.\n\\begin{center}\n\\begin{tabular}{|c|c|c|c|c|}\n\\hline$x$& 0 & 1 & 3 & 4 \\\\\n\\hline$y$&$2.2$&$4.3$&$4.8$&$m$\\\\\n\\hline\n\\end{tabular}\n\\end{center}",
"objs": [], "objs": [],
"tags": [ "tags": [
"第九单元" "第九单元"