418 lines
12 KiB
Plaintext
418 lines
12 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "ce7a7798-b8b7-4564-9e17-3e9c2d4565d8",
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"metadata": {},
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"source": [
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"## 体测人员导入"
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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": 25,
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"id": "270e8c57-36d3-476c-8c50-4d8bc38a918a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-13T08:43:12.873509Z",
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"iopub.status.busy": "2025-11-13T08:43:12.873249Z",
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||
"iopub.status.idle": "2025-11-13T08:43:13.076138Z",
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||
"shell.execute_reply": "2025-11-13T08:43:13.075593Z",
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"shell.execute_reply.started": "2025-11-13T08:43:12.873486Z"
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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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"1301 ok\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = sheet.cell(n, 2).value\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 4).value\n",
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" dict1['sex'] = sheet.cell(n, 5).value\n",
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" dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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" if sheet.cell(n, 7).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n, 7).value)\n",
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" person[code] = dict1\n",
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"filename = 'data/沧州炼化人员.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print(len(person),'ok')"
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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": "829d9460-a14e-4689-a7c4-d00bbd8c2e32",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-07T08:37:47.436725Z",
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"iopub.status.busy": "2025-11-07T08:37:47.435955Z",
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"iopub.status.idle": "2025-11-07T08:37:47.582958Z",
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"shell.execute_reply": "2025-11-07T08:37:47.582377Z",
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"shell.execute_reply.started": "2025-11-07T08:37:47.436655Z"
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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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"[['1553904', '孙建国', '物资采购中心'], ['1553904', '张巍', '应急救援中心']]\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"list1 = []\n",
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"list2 = []\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = sheet.cell(n, 2).value\n",
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" if code not in list1:\n",
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" list1.append(code)\n",
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" else:\n",
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" list2.append(code)\n",
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"list3 = []\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = sheet.cell(n, 2).value\n",
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" if code in list2:\n",
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" list4 = [code,sheet.cell(n, 4).value,sheet.cell(n, 3).value]\n",
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" list3.append(list4)\n",
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"print(list3)\n",
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"filename = 'data/沧州炼化编号重复人员.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"\n",
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"for row in list3:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b4f7023f-127c-4c47-a8e2-78922fbcd975",
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"metadata": {},
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"source": [
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"## 生成读卡系统文件"
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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": 19,
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"id": "7b6c8cb8-50ab-4b59-ac9a-6afb3db61476",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-09T05:35:48.182110Z",
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"iopub.status.busy": "2025-11-09T05:35:48.181365Z",
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"iopub.status.idle": "2025-11-09T05:35:48.197106Z",
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"shell.execute_reply": "2025-11-09T05:35:48.196434Z",
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"shell.execute_reply.started": "2025-11-09T05:35:48.182041Z"
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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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"1297 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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"\n",
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"filename = 'data/沧州炼化人员.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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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" dict2 = {}\n",
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" #if dict1['sex'] =='男':\n",
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" # sex = 1\n",
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" \n",
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" dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n",
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" list1.append(dict2)\n",
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
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"# 将 json 数据写入文件\n",
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"with open(\"data/card_沧州炼化人员.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \n",
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"print(len(list1),'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": "f9ef800a-b760-4933-b7a4-c69edef593d0",
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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": 29,
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"id": "ccb2fe86-c588-4373-85df-37adda55c694",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-14T04:02:24.632013Z",
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"iopub.status.busy": "2025-11-14T04:02:24.631372Z",
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"iopub.status.idle": "2025-11-14T04:02:24.726424Z",
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"shell.execute_reply": "2025-11-14T04:02:24.725880Z",
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"shell.execute_reply.started": "2025-11-14T04:02:24.631959Z"
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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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"1175\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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"import my_module1 as My\n",
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"\n",
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"filename = 'data/沧州炼化人员.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/marks_20251114.csv'\n",
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"re_ta = My.get_result(filename,dict1)\n",
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"\n",
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"\n",
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"filename = 'data/result_沧州炼化.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": "a446935a-db14-41d5-9420-d1a5ddd0e548",
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"metadata": {},
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"source": [
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"## 统计各部门测试情况"
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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": 30,
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"id": "503c30bb-c537-43f6-b3c7-a1eeff4c313f",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-14T04:02:34.921004Z",
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"iopub.status.busy": "2025-11-14T04:02:34.920268Z",
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"iopub.status.idle": "2025-11-14T04:02:34.953734Z",
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"shell.execute_reply": "2025-11-14T04:02:34.953246Z",
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"shell.execute_reply.started": "2025-11-14T04:02:34.920949Z"
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}
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},
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"outputs": [],
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"source": [
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"import json\n",
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"\n",
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"filename = 'data/result_沧州炼化.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/沧州炼化人员.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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"\n",
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"dict3 = {}\n",
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"for k, v in dict2.items():\n",
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" unit = v['unit']\n",
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" #sub_unit = v['sub_unit']\n",
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" dict3.setdefault(unit,{})\n",
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" dict3[unit].setdefault('人数',0)\n",
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" dict3[unit].setdefault('体测人数',0)\n",
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" #dict3[unit].setdefault(sub_unit,0)\n",
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" #dict3[unit][sub_unit] = dict3[unit][sub_unit] + 1\n",
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" dict3[unit]['人数'] = dict3[unit]['人数'] + 1\n",
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"\n",
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"title =['单位','体测人数']\n",
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"list1 = []\n",
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"for k,v in dict1.items(): \n",
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" unit = v['unit']\n",
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" #sub_unit = v['sub_unit']\n",
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" #dict3[unit][sub_unit] = dict3[unit][sub_unit] - 1\n",
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" dict3[unit].setdefault('体测人数',0)\n",
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" dict3[unit]['体测人数'] = dict3[unit]['体测人数'] + 1\n",
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"for k, v in dict3.items():\n",
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" list2 = [k,v['人数'],v['体测人数']]\n",
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" list1.append(list2)\n",
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"\n",
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"filename = 'data/沧州炼化部门测试情况（截至20251114）.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)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e04d391d-57cb-4ece-a77b-b940950f6717",
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"metadata": {},
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"source": [
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"## 统计未体测人员明细表"
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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": 31,
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"id": "57de7845-76f2-4cdc-88a9-eb869acb28a5",
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"metadata": {
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||
"execution": {
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||
"iopub.execute_input": "2025-11-14T04:02:42.621335Z",
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||
"iopub.status.busy": "2025-11-14T04:02:42.620669Z",
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||
"iopub.status.idle": "2025-11-14T04:02:42.655530Z",
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||
"shell.execute_reply": "2025-11-14T04:02:42.654876Z",
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"shell.execute_reply.started": "2025-11-14T04:02:42.621305Z"
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}
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},
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"outputs": [],
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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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"filename = 'data/result_沧州炼化.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/沧州炼化人员.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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"\n",
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"list1 = []\n",
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"\n",
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"i = 1\n",
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"for k, v in dict2.items(): \n",
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" if k not in dict1.keys():\n",
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" list2 = [i,k,v['name'],v['unit']]\n",
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" i+=1\n",
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" list1.append(list2)\n",
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"#print(list1)\n",
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"filename = f'data/沧州炼化未测试人员名单（截至20251114）.xlsx'\n",
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"title = ['序号','员工编号','姓名','部门']\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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"wb.save(filename)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9d39b9e8-7932-4f99-88da-0becf48d73e0",
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"metadata": {},
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"source": [
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"## 统计体测人员项目数"
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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": 34,
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"id": "c2ca861f-54ca-4312-bf24-20dbc2f3f2e6",
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||
"metadata": {
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"execution": {
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||
"iopub.execute_input": "2025-11-14T04:11:04.381187Z",
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||
"iopub.status.busy": "2025-11-14T04:11:04.380519Z",
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||
"iopub.status.idle": "2025-11-14T04:11:04.413211Z",
|
||
"shell.execute_reply": "2025-11-14T04:11:04.412250Z",
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||
"shell.execute_reply.started": "2025-11-14T04:11:04.381125Z"
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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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"1553238 齐金永 公用工程部 13231725301 2\n",
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"1553763 王鑫 应急救援中心 15632778668 2\n",
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"1552999 赵崇胜 储运部 13722775060 2\n",
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"01553836 王成柱 炼油一部 13111760190 1\n",
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"01553839 徐振柱 炼油一部 17772650508 1\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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"\n",
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"filename = 'data/result_沧州炼化.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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"xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
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"for k,v in dict1.items():\n",
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" list1 = []\n",
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" for item in v.keys():\n",
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" if item in xm:\n",
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" list1.append(item)\n",
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" if len(list1) <3:\n",
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" print(k,v['name'],v['unit'],v['phone'],len(list1))"
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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": null,
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"id": "e6dea90d-2b60-4ff5-9598-a49f41b6ab24",
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||
"metadata": {},
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||
"outputs": [],
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||
"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
|