202 lines
6.0 KiB
Plaintext
202 lines
6.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "4925cb3a-bea3-4a4d-9590-6b91b62ca5b4",
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"metadata": {},
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"source": [
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"# 体质检测管理"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2a85feec-695b-4ea8-8093-91a59ed34c7f",
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"metadata": {},
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"source": [
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"## 体测单位信息导入"
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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": "c5a0568c-3833-4335-a4b9-600310e1a541",
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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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"import pymongo\n",
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"\n",
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"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
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"mydb = myclient[\"tice\"]\n",
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"mycol = mydb[\"unit\"]\n",
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"\n",
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"name = '中国石油化工股份有限公司安庆炼化分公司'\n",
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"short_name = '安庆炼化'\n",
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"myquery = { \"name\": name}\n",
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"if mycol.find_one(myquery) is None: \n",
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" wb = openpyxl.load_workbook('data/中国石油化工股份有限公司安庆炼化分公司员工在职人员名单.xlsx')\n",
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" sheet = wb.active\n",
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" #sheets = wb.sheetnames\n",
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" depart = []\n",
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" dict1 = {}\n",
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" new_code = []\n",
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" for n in range(2,sheet.max_row+1):\n",
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" m_depart = sheet.cell(n,5).value\n",
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" if m_depart not in depart:\n",
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" depart.append(sheet.cell(n,5).value)\n",
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" #print(sheet.cell(n,5).value)\n",
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"\n",
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" dict1['name'] = '中国石油化工股份有限公司安庆炼化分公司'\n",
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" dict1['short_name'] = '安庆炼化'\n",
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" dict1['depart'] = depart\n",
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" mycol.insert_one(dict1)\n",
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" print('ok!')\n",
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"else:\n",
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" print('该单位已存在!') \n",
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" "
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]
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},
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{
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"cell_type": "markdown",
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"id": "bf42e8af-a506-4e60-a661-b4281e3fef54",
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"metadata": {},
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"source": [
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"## 录入体测信息"
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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": 26,
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"id": "91a8f4f4-c417-4db7-94ba-2d3404e5c2c9",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-10-12T07:52:26.950635Z",
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"iopub.status.busy": "2021-10-12T07:52:26.949701Z",
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"iopub.status.idle": "2021-10-12T07:52:27.307490Z",
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"shell.execute_reply": "2021-10-12T07:52:27.304804Z",
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"shell.execute_reply.started": "2021-10-12T07:52:26.950528Z"
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},
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"tags": []
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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 pymongo\n",
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"from bson.objectid import ObjectId\n",
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"from dateutil import parser\n",
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"\n",
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"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
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"mydb = myclient[\"tice\"]\n",
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"mycol = mydb[\"unit\"]\n",
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"mycol1 = mydb[\"event\"]\n",
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"dict1 = {}\n",
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"\n",
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"name = '中国石油化工股份有限公司安庆炼化分公司'\n",
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"myquery = { \"name\": name}\n",
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"dict1['code'] = 120\n",
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"dict1['unit'] = '中国石油化工股份有限公司安庆炼化分公司'\n",
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"dict1['address'] = '安徽安庆'\n",
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"dict1['date_begin'] ='2021-09-08'\n",
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"dict1['date_end'] = '2021-09-30'\n",
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"if mycol.find_one(myquery) is None: \n",
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" print('体测单位不存在!')\n",
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"else:\n",
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" myquery1 = { \"code\": dict1['code']}\n",
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" if mycol1.find_one(myquery1) is None:\n",
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" mycol1.insert_one(dict1)\n",
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" print('ok!')\n",
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" else:\n",
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" print('该体测信息已经存在!')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "0c144068-4f2d-4901-bd28-725ecb260fd4",
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"metadata": {},
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"source": [
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"## 导入单位员工信息"
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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": 19,
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"id": "d80c482d-aee2-45cf-8ac8-c357171f17f7",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-10-12T06:40:29.318503Z",
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"iopub.status.busy": "2021-10-12T06:40:29.317557Z",
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"iopub.status.idle": "2021-10-12T06:40:29.351278Z",
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"shell.execute_reply": "2021-10-12T06:40:29.348925Z",
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"shell.execute_reply.started": "2021-10-12T06:40:29.318396Z"
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},
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"tags": []
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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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"{'_id': ObjectId('6164fc343d39c8cdd2d97179'), 'name': '中国石油化工股份有限公司安庆炼化分公司', 'short_name': '安庆炼化', 'depart': ['办公室', '会议中心', '生产计划部', '设备工程部', '发展规划部', '安全环保部', '消防支队', '财务资产部', '企业管理部', '企业发展研究会', '审计部', '党委组织部', '党群工作部', '纪委监督部', '销售中心', '信息中心', '行政事务中心', '炼油一部', '炼油二部', '化工一部', '化工二部', '腈纶部', '热电部', '储运部', '水务部', '运输部', '电气仪表中心', '质管中心', '物资采购中心', '华成公司', '项目管理部', 'AQ基地', '调研']}\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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"import pymongo\n",
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"from bson.objectid import ObjectId\n",
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"\n",
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"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
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"mydb = myclient[\"tice\"]\n",
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"mycol = mydb[\"unit\"]\n",
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"\n",
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"myquery = { \"_id\": ObjectId(\"6164fc343d39c8cdd2d97179\")}\n",
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" \n",
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"mydoc = mycol.find(myquery)\n",
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" \n",
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"for x in mydoc:\n",
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" print(x)"
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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": "bfed373e-500d-4618-8344-9b8ddd0c5e8c",
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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",
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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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