407 lines
12 KiB
Plaintext
407 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": "37eee6b1-ddbc-414c-ac74-e831c53c9bdb",
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"metadata": {},
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"source": [
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"### 人员基本信息导入"
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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": null,
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"id": "a27e986c-0c40-4792-b24d-03b19df707a9",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"\n",
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"wb = openpyxl.load_workbook('data/巴陵石化监测花名册.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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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,2).value is None:\n",
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" break\n",
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" else: \n",
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" code = int(sheet.cell(n, 4).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, 6).value \n",
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" xb = str(sheet.cell(n, 7).value)\n",
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" if xb == '1':\n",
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" sex = '男'\n",
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" elif xb =='2':\n",
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" sex = '女'\n",
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" dict1['sex'] = sex\n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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" dict1['birth'] = str(sheet.cell(n,8).value).split(' ')[0]\n",
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" person[code] = dict1\n",
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"filename = 'data/巴陵石化人员.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('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": "b1384a8f-36f4-483e-afb4-65a56a064dd3",
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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": null,
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"id": "e5e4145b-d575-46b5-a530-c722668f76f3",
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"metadata": {
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"tags": []
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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 time\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\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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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"#SQL语句为：\n",
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"# SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name FROM places_result AS a,_zgshhgxs AS b WHERE a.place_id=135 AND a.avatar_id=b.id AND a.avatar_id < 4999\n",
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"\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"#print(\"\\n运动项目信息：\")\n",
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"filename = 'data/137_2210.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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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[4])\n",
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" m_item = str(result[0]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = str(result[6])\n",
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" re_ta[user]['unit'] = str(result[5]) \n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[1])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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" re_ta[user][item_name]['得分'] =result[2]\n",
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"filename = 'data/result_巴陵.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl) \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": "3c911994-2ce1-4412-8d56-39b195e66457",
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"metadata": {},
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"source": [
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"### 导出测试成绩"
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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": null,
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"id": "0582bc84-7234-415f-9715-66c27b6b8f91",
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"metadata": {
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"tags": []
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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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"items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"title = ['编号','姓名','性别','单位/部门','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"filename = 'data/result_巴陵.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/巴陵石化人员.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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"for k, v in dict1.items():\n",
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" list2 = []\n",
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" list2.append(str(k).rjust(8,'0'))\n",
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" list2.append(v['name']) \n",
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" list2.append(dict2[k]['sex'])\n",
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" list2.append(dict2[k]['unit']) \n",
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" \n",
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" for item in items:\n",
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" if item in v.keys():\n",
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" list2.append(v[item]['成绩']) \n",
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" elif item =='name':\n",
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" list2.append(v[item])\n",
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" else:\n",
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" list2.append('') \n",
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" list1.append(list2)\n",
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"filename = 'data/巴陵石化体测情况表（截至20221031）.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": "8e8dc85d-7ed7-4146-98c6-8d2dc64026ea",
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"metadata": {},
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"source": [
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"### 统计测试成绩"
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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": null,
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"id": "6b40ff7f-68c1-4c04-9bdc-3af16980fc25",
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"metadata": {
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"tags": []
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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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"items = ['体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"title = ['编号','姓名','性别','身高','','体重','','肺活量','','握力','','坐位体前屈','','纵跳','','俯卧撑','','一分钟仰卧起坐','','单脚站立','','选择反应时','','台阶指数']\n",
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"filename = 'data/result_巴陵.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/巴陵石化人员.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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"dict3 = {}\n",
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"i = 0\n",
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"for k, v in dict1.items():\n",
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" sex = dict2[k]['sex']\n",
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" dict3.setdefault(sex,{}) \n",
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" for item in v.keys():\n",
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" if item in items:\n",
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" dict3[sex].setdefault(item,[]) \n",
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" if v[item]['得分'].isdigit() :\n",
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" dict3[sex][item].append(v[item]['得分']) \n",
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"#print(dict3) \n",
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"for k, v in dict3.items():\n",
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" sex = k\n",
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" for k1, v1 in v.items():\n",
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" df = 0\n",
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" if len(v1) >0:\n",
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" \n",
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" for i in range(0,len(v1)-1):\n",
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" df = df + int(v1[i])\n",
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" print(sex,k1,df,i)\n",
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" \n",
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" \n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "19947e33-64f8-4855-8b28-60e2a8c3543c",
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"metadata": {},
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"source": [
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"### 报告按照部门分组"
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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": "7930c77b-7a99-4bd0-b998-b9801ed3b257",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import os,sys,shutil\n",
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"import json\n",
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"import math\n",
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"\n",
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"\n",
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"fi_path = os.getcwd()+'/file/137'\n",
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"old = []\n",
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"new = []\n",
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"dict2 = {}\n",
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"depart = []\n",
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"\n",
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"filename = 'data/巴陵石化人员.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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"\n",
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"for k, v in dict1.items():\n",
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" m_name = v['name']\n",
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" m_depart = v['unit']\n",
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" depart.append(m_depart) \n",
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" dict2[int(k)] = [m_name,m_depart]\n",
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"\n",
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"\n",
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"fl=os.listdir(fi_path)\n",
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"for fn in fl:\n",
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" if os.path.isfile(fi_path + '/' + fn):\n",
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" ofn = int(fn.split('.')[0])\n",
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" old.append(ofn)\n",
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" #print(fn)\n",
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"old.sort()\n",
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" #print(str(nfn)+'.pdf')\n",
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"\n",
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"for n in old: \n",
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" o_name = f'{fi_path}/{n}.pdf'\n",
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" if not os.path.exists(f'{fi_path}/new/{dict2[n][1]}'):\n",
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" os.mkdir(f'{fi_path}/new/{dict2[n][1]}') \n",
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" n_name = f'{fi_path}/new/{dict2[n][1]}/{str(n).rjust(5,\"0\")}-{dict2[n][0]}.pdf'\n",
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" if not os.path.exists(n_name):\n",
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" shutil.copyfile(o_name,n_name)\n",
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" print(n_name)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b09a3236-e540-4a49-bd19-e11e3de77a71",
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"metadata": {},
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"source": [
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"### 统计报告人员信息表"
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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": null,
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"id": "22836727-9658-453a-99db-4d270c3253d4",
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"metadata": {
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"tags": []
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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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"import os\n",
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"import glob\n",
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"\n",
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"filename = 'data/巴陵石化人员.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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"m_path = os.getcwd()+'/file/137'\n",
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"fls = glob.glob(f'file/137/*.pdf')\n",
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"list1 = []\n",
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"for fn in fls:\n",
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" list2 = []\n",
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" code = os.path.basename(fn).split('.')[0]\n",
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" list2 = [code.rjust(5,\"0\"),dict1[code]['name'],dict1[code]['unit']]\n",
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" list1.append(list2)\n",
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"title = ['编号','姓名','部门'] \n",
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"filename = 'data/巴陵二部门人员体测情况表（截至20221103）.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": "2f392a9a-0ffd-48c2-a9d7-7af99ca0f5f6",
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"metadata": {},
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"source": [
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"### 统计部门测试人员情况"
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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": null,
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"id": "e8e04af4-978a-463f-83e3-c015e1e72938",
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"metadata": {},
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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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"title = ['部门','部门人数','已测人数','未测人数']\n",
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"filename = 'data/巴陵石化人员.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/result_巴陵.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 dict1.items():\n",
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" dict3.setdefault(v['unit'],{})\n",
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" dict3[v['unit']].setdefault('人数',0)\n",
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" dict3[v['unit']].setdefault('已测人数',0)\n",
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" dict3[v['unit']]['人数'] = dict3[v['unit']]['人数']+1\n",
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"for k, v in dict2.items():\n",
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" if len(v.keys())>5: \n",
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" dict3[v['unit']]['已测人数'] = dict3[v['unit']]['已测人数'] + 1\n",
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"list1 = []\n",
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"\n",
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"for k, v in dict3.items():\n",
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" list2 = []\n",
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" list2 = [k,v['人数'],v['已测人数'],v['人数']-v['已测人数']]\n",
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" \n",
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" list1.append(list2)\n",
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"filename = 'data/巴陵炼化体测人数统计表.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": "code",
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"execution_count": null,
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"id": "9cfed761-0251-47b5-831b-e005b6675452",
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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": "3.8.10"
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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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}
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