20250314
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@@ -10,15 +10,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 15,
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"id": "eb9aa782-ce2c-4814-bdf6-92c7e892854d",
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"metadata": {
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"execution": {
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"outputs": [
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@@ -112,10 +112,451 @@
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "188fb9fc-a6e4-4aec-b503-5e96e4981ef5",
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"metadata": {},
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"source": [
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"## 获取人员测试成绩"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "fd005ed3-24ee-4b39-a619-6c83e64c2852",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-03-11T06:50:46.618660Z",
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"iopub.status.busy": "2025-03-11T06:50:46.617709Z",
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||||
"iopub.status.idle": "2025-03-11T06:50:46.633813Z",
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"shell.execute_reply": "2025-03-11T06:50:46.633056Z",
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"shell.execute_reply.started": "2025-03-11T06:50:46.618581Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"29\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import datetime\n",
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"import csv\n",
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"from datetime import date\n",
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"\n",
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"\n",
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"re_ta = {}\n",
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"list1 = []\n",
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"filename = 'data/海淀区老干部大学第一期.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"filename = 'data/marks_20250311.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" rq = date.fromisoformat(result[5].replace('/','-'))\n",
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" if user in dict1.keys():\n",
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" l_xm = []\n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex']\n",
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" if 'phone' in dict1[user].keys():\n",
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" re_ta[user]['phone'] = dict1[user]['phone']\n",
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" if dict1[user]['sex'] == '男':\n",
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" l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
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" else:\n",
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" l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
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" #re_ta[user]['unit'] = dict1[user]['unit']\n",
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" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
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" item_name = result[3] \n",
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" if item_name in l_xm: \n",
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" days = (rq-birth).days \n",
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" re_ta[user]['age'] = int(days/365)\n",
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" re_ta[user]['month'] = int(days/365*12)\n",
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" re_ta[user]['rq'] = result[5]\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = result[4] \n",
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" re_ta[user][item_name]['成绩'] = score\n",
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"\n",
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"filename = 'data/result_海淀区老干部大学第一期.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "37c2ccf4-5d95-4f32-a9c2-28669aa90a3d",
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"metadata": {},
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"source": [
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"## 生成测试得分"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "9481765c-92b7-4a58-b192-582bb001f167",
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"metadata": {
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||||
"execution": {
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||||
"iopub.execute_input": "2025-03-11T06:51:42.447230Z",
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||||
"iopub.status.busy": "2025-03-11T06:51:42.446485Z",
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"iopub.status.idle": "2025-03-11T06:51:42.461166Z",
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"shell.execute_reply": "2025-03-11T06:51:42.459770Z",
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"shell.execute_reply.started": "2025-03-11T06:51:42.447161Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok!\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import time\n",
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"import my_module as My\n",
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"\n",
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"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
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"filename = 'data/result_海淀区老干部大学第一期.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl) \n",
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"for k, v in dict2.items():\n",
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" #print(k)\n",
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" if v['sex'] == '男':\n",
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" sex = 'M'\n",
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" else:\n",
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" sex = 'F' \n",
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" if 'bmi' in v.keys():\n",
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" #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
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" bmi_data = v['bmi']['成绩']\n",
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" data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
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" dict2[k]['bmi'] = {}\n",
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" dict2[k]['bmi']['成绩'] = bmi_data\n",
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" dict2[k]['bmi']['score'] = My.cal_bmi(data1)\n",
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" for item_en in list_item:\n",
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" if item_en in v.keys(): \n",
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" data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
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" #print(k,v['name'])\n",
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" dict2[k][item_en]['score'] = My.cal_score(data1)\n",
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" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
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"\n",
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"filename = f'data/result_海淀区老干部大学第一期.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2,fl , ensure_ascii=False) \n",
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"print('ok!') "
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]
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},
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||||
{
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||||
"cell_type": "markdown",
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||||
"id": "bb21f690-115d-4b04-8752-5962a7eafeaf",
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"metadata": {},
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"source": [
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"## 导出测试人员信息"
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]
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},
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{
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||||
"cell_type": "code",
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||||
"execution_count": 10,
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||||
"id": "63c81b75-9b3d-4001-a5da-32b7cf992843",
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||||
"metadata": {
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||||
"execution": {
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||||
"iopub.execute_input": "2025-03-11T06:54:01.231518Z",
|
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"iopub.status.busy": "2025-03-11T06:54:01.230854Z",
|
||||
"iopub.status.idle": "2025-03-11T06:54:01.260859Z",
|
||||
"shell.execute_reply": "2025-03-11T06:54:01.260166Z",
|
||||
"shell.execute_reply.started": "2025-03-11T06:54:01.231459Z"
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||||
}
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||||
},
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||||
"outputs": [
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||||
{
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||||
"name": "stdout",
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||||
"output_type": "stream",
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||||
"text": [
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||||
"ok\n"
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||||
]
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||||
}
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||||
],
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"source": [
|
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"import json\n",
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"import openpyxl\n",
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"\n",
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"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
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"bmi = ['height','weight']\n",
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"title = ['编号','姓名','性别','身高','体重','bmi','肺活量','得分','握力','得分','坐位体前屈','得分','纵跳','得分','俯卧撑','得分','一分钟仰卧起坐','得分','单脚站立','得分','选择反应时','得分','台阶指数','得分']\n",
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"\n",
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"filename = 'data/result_海淀区老干部大学第一期.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"list1 = []\n",
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"for k, v in dict1.items(): #print(k,dict2[str(k)]['name'])\n",
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" list2 = []\n",
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" list2.append(str(k).rjust(5,'0'))\n",
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" list2.append(dict1[k]['name']) \n",
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" list2.append(dict1[k]['sex'])\n",
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" i = 0\n",
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" if 'bmi' in dict1[k].keys():\n",
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" list2.append(dict1[k]['bmi']['成绩'].split(',')[0])\n",
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" list2.append(dict1[k]['bmi']['成绩'].split(',')[1])\n",
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" list2.append(dict1[k]['bmi']['score'])\n",
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" i+=1\n",
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" else:\n",
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" list2.append('') \n",
|
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" list2.append('') \n",
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" list2.append('') \n",
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" \n",
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" \n",
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" for item in items:\n",
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" if item in dict1[k].keys():\n",
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" list2.append(dict1[k][item]['成绩'])\n",
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" list2.append(dict1[k][item]['score']) \n",
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" i+=1\n",
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" elif item =='name':\n",
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" list2.append(dict1[k][item])\n",
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" else:\n",
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" list2.append('') \n",
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" list2.append('') \n",
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" if i>2:\n",
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" list1.append(list2)\n",
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"filename = 'data/海淀区老干部大学第一期.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)\n",
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"print('ok') "
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]
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},
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{
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"cell_type": "markdown",
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"id": "c9bacc5b-6d55-41da-a30e-2862cf544a95",
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"metadata": {},
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"source": [
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"## 导入问卷信息"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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||||
"id": "dd8ed4fe-5014-455f-993d-64a41519de6d",
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||||
"metadata": {
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||||
"execution": {
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||||
"iopub.execute_input": "2025-03-13T07:54:13.739008Z",
|
||||
"iopub.status.busy": "2025-03-13T07:54:13.738365Z",
|
||||
"iopub.status.idle": "2025-03-13T07:54:13.762948Z",
|
||||
"shell.execute_reply": "2025-03-13T07:54:13.762206Z",
|
||||
"shell.execute_reply.started": "2025-03-13T07:54:13.738946Z"
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||||
}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"27\n"
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]
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}
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],
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"source": [
|
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"import json\n",
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"import csv\n",
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"import openpyxl\n",
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"import time\n",
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"from datetime import date\n",
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"\n",
|
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"dict1 = {}\n",
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"\n",
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"filename = 'data/result_海淀区老干部大学第一期.json'\n",
|
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"with open(filename,'r') as fl:\n",
|
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" dict1 = json.load(fl)\n",
|
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"filename = 'data/海淀区老干部大学第一期.json'\n",
|
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"with open(filename,'r') as fl:\n",
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" dict3 = json.load(fl)\n",
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"\n",
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"phone = {}\n",
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"for k,v in dict3.items():\n",
|
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" if 'phone' in v.keys():\n",
|
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" phone[v['phone']] = k\n",
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"\n",
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"list1 = []\n",
|
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"filename = 'data/Survey_20250313.csv'\n",
|
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"with open(filename,'r',newline='') as csv_file:\n",
|
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" fl = csv.reader(csv_file,delimiter=',')\n",
|
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" header = next(fl) \n",
|
||||
" for line in fl:\n",
|
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" list1.append(line)\n",
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"\n",
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"\n",
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"\n",
|
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"nn = 0\n",
|
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"for item in list1:\n",
|
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" if item[2] in phone.keys():\n",
|
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" psy =[]\n",
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" tcm = []\n",
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" spine = []\n",
|
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" for i in range(0,30):\n",
|
||||
" psy.append(0)\n",
|
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" for i in range(0,60):\n",
|
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" tcm.append(0)\n",
|
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" for i in range(0,26):\n",
|
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" spine.append(0)\n",
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" \n",
|
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" content = json.loads(item[5])\n",
|
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" if phone[item[2]] not in dict1.keys():\n",
|
||||
" dict1[phone[item[2]]] = dict3[phone[item[2]]]\n",
|
||||
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
||||
" dict1[phone[item[2]]]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
|
||||
" for k, v in content.items():\n",
|
||||
" if 'psyOld' in k:\n",
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||||
" i = int(k[6:])\n",
|
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" psy[i-1] = int(v)\n",
|
||||
" if 'tcm' in k:\n",
|
||||
" i = int(k[3:])\n",
|
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" tcm[i-1] = int(v)\n",
|
||||
" if 'spine' in k:\n",
|
||||
" i = int(k[5:])\n",
|
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" spine[i-1] = int(v)\n",
|
||||
" if 'psyOld' in item[5]:\n",
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" \n",
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" \n",
|
||||
" dict1[phone[item[2]]]['psy_yangmiao_old'] = psy\n",
|
||||
" if 'tcm' in item[5]:\n",
|
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" \n",
|
||||
" dict1[phone[item[2]]]['tcm'] = tcm\n",
|
||||
" if 'spine' in item[5]:\n",
|
||||
" for ii in range(25,23,-1):\n",
|
||||
" spine[ii] = spine[ii-1]\n",
|
||||
" spine[22] = 0 \n",
|
||||
" dict1[phone[item[2]]]['spine'] = spine\n",
|
||||
" birth = date.fromisoformat(dict3[phone[item[2]]]['birth'].replace('/','-'))\n",
|
||||
" \n",
|
||||
" days = (rq-birth).days \n",
|
||||
" dict1[phone[item[2]]]['age'] = int(days/365)\n",
|
||||
" dict1[phone[item[2]]]['month'] = int(days/365*12)\n",
|
||||
" #print(phone[item[2]])\n",
|
||||
" nn+=1\n",
|
||||
"filename = 'data/result_海淀区老干部大学第一期-1.json'\n",
|
||||
"\n",
|
||||
"with open(filename,'w') as fl:\n",
|
||||
" json.dump(dict1, fl, ensure_ascii=False)\n",
|
||||
"print(nn)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "6b4ffd63-e38b-4a19-9ed7-5cfcc8a1882a",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 生成报告"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 19,
|
||||
"id": "b8b2fc93-9e8b-4bde-bc13-2de179de2b2d",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-03-13T07:54:20.836739Z",
|
||||
"iopub.status.busy": "2025-03-13T07:54:20.836013Z",
|
||||
"iopub.status.idle": "2025-03-13T07:54:37.198424Z",
|
||||
"shell.execute_reply": "2025-03-13T07:54:37.197192Z",
|
||||
"shell.execute_reply.started": "2025-03-13T07:54:20.836671Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"29\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import requests\n",
|
||||
"import json\n",
|
||||
"import openpyxl\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"headers = {\n",
|
||||
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
|
||||
" }\n",
|
||||
"filename = 'data/result_海淀区老干部大学第一期-1.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"list1 = []\n",
|
||||
"file_path ='./海淀老年大学第一期/'\n",
|
||||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
||||
"i=0\n",
|
||||
"list2 = []\n",
|
||||
"for k, v in dict1.items():\n",
|
||||
" list1 = []\n",
|
||||
" mydata = {}\n",
|
||||
" \n",
|
||||
" id = str(k).rjust(4,\"0\")\n",
|
||||
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
|
||||
" mydata['title'] = '海淀区老干部大学'\n",
|
||||
" mydata['subtitle'] = '2025年春季体质提升班'\n",
|
||||
" mydata['id'] = id\n",
|
||||
" mydata['name'] = v['name']\n",
|
||||
" if v['sex'] == '男':\n",
|
||||
" mydata['gender'] = 'male'\n",
|
||||
" else:\n",
|
||||
" mydata['gender'] = 'female'\n",
|
||||
" \n",
|
||||
" mydata['month'] = v['month']\n",
|
||||
" mydata['fits'] = {}\n",
|
||||
" survey_list = ['tcm','psy_yangmiao_old','spine']\n",
|
||||
" for item in survey_list:\n",
|
||||
" if item in v.keys():\n",
|
||||
" mydata.setdefault('surveys',{})\n",
|
||||
" mydata['surveys'][item] = v[item]\n",
|
||||
" \n",
|
||||
" \n",
|
||||
" #mydata['fits'] = {}\n",
|
||||
" for item in list_item:\n",
|
||||
" if item in v.keys():\n",
|
||||
" mydata.setdefault('fits',{})\n",
|
||||
" if item in ['lung','pushup','step','situp']:\n",
|
||||
" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
|
||||
" else:\n",
|
||||
" mark = v[item]['成绩'].split()[0]\n",
|
||||
" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
|
||||
" #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
|
||||
" #if len(mydata['fits']) >2 : \n",
|
||||
" if len(mydata['fits']) >2 or 'surveys' in mydata.keys():\n",
|
||||
" list1.append(mydata)\n",
|
||||
" list2.append([k,v['name']])\n",
|
||||
" i+=1\n",
|
||||
" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
|
||||
" #print(id,v['name'],x.text)\n",
|
||||
" #print(mydata)\n",
|
||||
" #x.close()\n",
|
||||
"print(i)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "26dbb945-2b62-4a46-9c72-aa321be7321d",
|
||||
"id": "974b19a1-b88e-45a6-9426-9fdb9893101c",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
|
||||
Reference in new issue
Block a user