diff --git a/工具/分年级专用工具/小闲平台作业测验数据导入_2023届.ipynb b/工具/分年级专用工具/小闲平台作业测验数据导入_2023届.ipynb
index 0a6f5b9e..0a452cfd 100644
--- a/工具/分年级专用工具/小闲平台作业测验数据导入_2023届.ipynb
+++ b/工具/分年级专用工具/小闲平台作业测验数据导入_2023届.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10,7 +10,7 @@
     "import pandas as pd\n",
     "from pathlib import Path\n",
     "\n",
-    "#设置工作目录, 要求工作目录中恰有一个.tex文件和一个.zip文件，其余不论\n",
+    "#设置工作目录, 要求工作目录中恰有一些.tex(.txt)文件和一些.zip文件，对应的文件名需相同, 其余不论\n",
     "filepath = \"数据导入作业文件\"\n",
     "\n",
     "# date = str(time.localtime().tm_year)+str(time.localtime().tm_mon).zfill(2)+str(time.localtime().tm_mday).zfill(2)\n",
@@ -29,6 +29,10 @@
     "    #生成文件名tex_file和zip_file\n",
     "    zip_file, tex_file = fp\n",
     "\n",
+    "    newdate = input(os.path.split(zip_file)[-1][:4]+\"使用日期(\"+date+\", 不变按回车, 要变化仅需输入最后几位改变的数字):\")\n",
+    "    newdate = \"\".join(re.findall(r\"\\d\",newdate))\n",
+    "    change_len = len(newdate)\n",
+    "    date = date[:8-change_len]+newdate\n",
     "\n",
     "    #获得题号数据，保存在problems_list中\n",
     "    with open(tex_file,\"r\",encoding = \"utf8\") as f:\n",
@@ -47,12 +51,20 @@
     "    extractedpath.rename(\"临时文件/statsfile.xlsx\")\n",
     "    df = pd.read_excel(\"临时文件/statsfile.xlsx\")\n",
     "    problems_indexes = list(df[df.columns[0]][2:])\n",
+    "    autofill = False\n",
     "    for p in problems_indexes:\n",
-    "        t = input(os.path.split(zip_file)[-1][:4]+\"答题纸区域\"+p+\"的题号为(1-\"+str(len(problems_list))+\", a为自动对应点前的题号):\")\n",
-    "        if t.upper() == \"A\":\n",
+    "        if not autofill:\n",
+    "            t = input(os.path.split(zip_file)[-1][:4]+\"答题纸区域\"+p+\"的题号为(1-\"+str(len(problems_list))+\", a为自动对应点前的题号, u为之后完全自动对应):\")\n",
+    "            if t.upper() == \"A\":\n",
+    "                correspondence_dict[p] = problems_list[int(re.findall(r\"([\\d]+?)\\.\",p)[0])-1]\n",
+    "            elif t.upper() == \"U\":\n",
+    "                correspondence_dict[p] = problems_list[int(re.findall(r\"([\\d]+?)\\.\",p)[0])-1]\n",
+    "                autofill = True\n",
+    "            elif not (int(t)<1 or int(t)>len(problems_list)):\n",
+    "                correspondence_dict[p] = problems_list[int(t)-1]\n",
+    "        else:\n",
     "            correspondence_dict[p] = problems_list[int(re.findall(r\"([\\d]+?)\\.\",p)[0])-1]\n",
-    "        elif not (int(t)<1 or int(t)>len(problems_list)):\n",
-    "            correspondence_dict[p] = problems_list[int(t)-1] \n",
+    "\n",
     "\n",
     "\n",
     "\n",
@@ -85,67 +97,6 @@
     "zf.close()\n",
     "\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "''"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "t"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "('数据导入作业文件', 'sj02.zip')"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "os.path.split(zip_file)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {