20231114
This commit is contained in:
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-24
@@ -2308,7 +2308,7 @@
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"for fn in fls:\n",
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" fi_name =Path(fn).stem.split('-')[0]\n",
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" code = int(fi_name)\n",
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" if dict1[str(code)]['sex'] =='女': \n",
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" if dict1[str(code)]['sex'] =='男': \n",
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" unit_path = Path(new_path,dict1[str(code)]['unit'])\n",
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" unit_path.mkdir(parents = True, exist_ok = True)\n",
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" n_name = Path(unit_path,Path(fn).stem+'.pdf')\n",
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@@ -2369,12 +2369,28 @@
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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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"execution_count": 92,
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"id": "91fbc553-da7c-4c1e-bcf3-944dc59204b6",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-11-14T06:24:29.017502Z",
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"iopub.status.busy": "2023-11-14T06:24:29.016683Z",
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"iopub.status.idle": "2023-11-14T06:24:29.082247Z",
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"shell.execute_reply": "2023-11-14T06:24:29.081478Z",
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"shell.execute_reply.started": "2023-11-14T06:24:29.017425Z"
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},
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"tags": []
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},
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"outputs": [],
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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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"[]\n",
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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 os,sys,shutil\n",
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"import json\n",
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@@ -2393,13 +2409,13 @@
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" list2 = []\n",
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" fi_name =Path(fn).stem.split('-')[0] \n",
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" code = int(fi_name)\n",
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" if dict1[str(code)]['sex'] =='女':\n",
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" if dict1[str(code)]['sex'] =='男':\n",
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" unit = dict1[str(code)]['unit']\n",
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" list2 = [fi_name,Path(fn).stem.split('-')[1],unit]\n",
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" \n",
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" list1.append(list2)\n",
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"print(list1)\n",
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"filename = 'data/天津石化体测报告打印明细表(修改).xlsx'\n",
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"filename = 'data/天津石化体测报告打印明细表(第一批).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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@@ -2631,18 +2647,37 @@
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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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"execution_count": 87,
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"id": "006afc6c-2b1f-4edf-be1b-5f60e2029ee8",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-11-14T05:31:33.869705Z",
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"iopub.status.busy": "2023-11-14T05:31:33.869187Z",
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"iopub.status.idle": "2023-11-14T05:31:33.963951Z",
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"shell.execute_reply": "2023-11-14T05:31:33.963038Z",
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"shell.execute_reply.started": "2023-11-14T05:31:33.869655Z"
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},
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"tags": []
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},
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"outputs": [],
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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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"0~255分人数：1641人,男性：1334人,女性:307人\n",
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"256~332分人数：1544人,男性：941人,女性:603人\n",
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"333~367分人数：354人,男性：191人,女性:163人\n",
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"368~500分人数：118人,男性：39人,女性:79人\n",
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"3657\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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"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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"\n",
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"filename = 'data/data_天津231017.json'\n",
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"filename = 'data/data_天津231017_非倒班.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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"dict2 = {}\n",
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@@ -2679,12 +2714,34 @@
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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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"execution_count": 88,
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"id": "949e4c3c-023d-44a4-b99e-c5460da61161",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-11-14T05:32:00.827469Z",
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"iopub.status.busy": "2023-11-14T05:32:00.826734Z",
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"iopub.status.idle": "2023-11-14T05:32:00.923421Z",
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"shell.execute_reply": "2023-11-14T05:32:00.922591Z",
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"shell.execute_reply.started": "2023-11-14T05:32:00.827429Z"
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},
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"tags": []
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},
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"outputs": [],
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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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"20~24岁平均成绩：2.45分，人数：581人,男性：384人\n",
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"25~29岁平均成绩：2.56分，人数：369人,男性：252人\n",
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"30~34岁平均成绩：2.56分，人数：211人,男性：144人\n",
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"35~39岁平均成绩：2.67分，人数：414人,男性：281人\n",
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"40~44岁平均成绩：2.7分，人数：318人,男性：188人\n",
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"45~49岁平均成绩：2.71分，人数：563人,男性：310人\n",
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"50~54岁平均成绩：2.63分，人数：849人,男性：594人\n",
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"55~69岁平均成绩：2.46分，人数：352人,男性：352人\n"
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]
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}
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],
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"source": [
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"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]\n",
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"\n",
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@@ -2717,12 +2774,34 @@
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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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"execution_count": 86,
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"id": "721977d3-5816-4bf6-82fc-26fd170e5454",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-11-14T05:29:45.231085Z",
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"iopub.status.busy": "2023-11-14T05:29:45.230706Z",
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"iopub.status.idle": "2023-11-14T05:29:45.291777Z",
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"shell.execute_reply": "2023-11-14T05:29:45.290397Z",
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"shell.execute_reply.started": "2023-11-14T05:29:45.231052Z"
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},
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"tags": []
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},
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"outputs": [],
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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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"20~24岁平均成绩：2.42分，人数：322人\n",
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"25~29岁平均成绩：2.54分，人数：120人\n",
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"30~34岁平均成绩：2.61分，人数：21人\n",
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"35~39岁平均成绩：2.23分，人数：47人\n",
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"40~44岁平均成绩：2.46分，人数：57人\n",
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"45~49岁平均成绩：2.4分，人数：156人\n",
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"50~54岁平均成绩：2.39分，人数：335人\n",
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"55~80岁平均成绩：2.5分，人数：225人\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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@@ -2795,12 +2874,29 @@
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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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"execution_count": 90,
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"id": "7155f2c2-0719-4558-aa3b-629fb70194d6",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-11-14T05:32:38.731026Z",
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"iopub.status.busy": "2023-11-14T05:32:38.730664Z",
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"iopub.status.idle": "2023-11-14T05:32:38.802327Z",
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"shell.execute_reply": "2023-11-14T05:32:38.801563Z",
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"shell.execute_reply.started": "2023-11-14T05:32:38.730994Z"
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},
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"tags": []
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},
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"outputs": [],
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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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"平均成绩：2.4823分，男性：2505人\n",
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"平均成绩：2.8604分，女性：1152人\n",
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"平均成绩：2.6014分，总体：3657人\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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@@ -2826,7 +2922,7 @@
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" score = score+v['score']\n",
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"print(f'平均成绩：{round(score/f,4)}分，女性：{f}人')\n",
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"t_score = t_score + score\n",
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"print(f'平均成绩：{round(t_score/5383,4)}分，总体：5383人')"
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"print(f'平均成绩：{round(t_score/3657,4)}分，总体：3657人')"
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]
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},
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{
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@@ -2925,6 +3021,60 @@
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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": "194217e0-f1cf-4945-ad5a-52304ed2f943",
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"metadata": {},
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"source": [
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"## 计算各项目成绩"
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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": 91,
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"id": "5ed284c6-1a1c-43ab-92a8-b3c411cd77a1",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-11-14T05:34:30.789468Z",
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"iopub.status.busy": "2023-11-14T05:34:30.789112Z",
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"iopub.status.idle": "2023-11-14T05:34:30.903912Z",
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"shell.execute_reply": "2023-11-14T05:34:30.903118Z",
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"shell.execute_reply.started": "2023-11-14T05:34:30.789436Z"
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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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"BMI 3.54 3634\n",
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"肺活量 3.37 3569\n",
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"握力 1.29 3592\n",
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"坐位体前屈 2.85 3142\n",
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"纵跳 2.0 3198\n",
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"俯卧撑 2.57 2082\n",
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"一分钟仰卧起坐 3.94 757\n",
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"单脚站立 2.01 3523\n",
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"选择反应时 2.97 3613\n",
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"台阶指数 2.58 1496\n"
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]
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}
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],
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"source": [
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"items = ['BMI','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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"for item in items:\n",
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" score = 0\n",
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" n = 0\n",
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" for k, v in dict1.items(): \n",
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" if item in v['fits'].keys():\n",
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" n = n + 1\n",
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" score =score + int(v['fits'][item]['score'])\n",
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" print(item,round(score/n,2),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": "5a130857-4dd1-4b5e-b21b-42fe32b367cf",
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@@ -3101,15 +3251,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 253,
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"execution_count": 80,
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"id": "518a1e40-d383-4d78-a4ea-224ddab49b79",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-11-10T13:59:53.477003Z",
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"iopub.status.busy": "2023-11-10T13:59:53.476599Z",
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"iopub.status.idle": "2023-11-10T13:59:54.275449Z",
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"shell.execute_reply": "2023-11-10T13:59:54.274890Z",
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"shell.execute_reply.started": "2023-11-10T13:59:53.476972Z"
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"iopub.execute_input": "2023-11-14T04:54:34.744376Z",
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"iopub.status.busy": "2023-11-14T04:54:34.744069Z",
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||||
"iopub.status.idle": "2023-11-14T04:54:36.013106Z",
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"shell.execute_reply": "2023-11-14T04:54:36.012373Z",
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"shell.execute_reply.started": "2023-11-14T04:54:34.744349Z"
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},
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"tags": []
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},
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@@ -3118,7 +3268,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"1726\n"
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"3657\n"
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]
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}
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],
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@@ -3137,19 +3287,73 @@
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"# sheets = wb.sheetnames\n",
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"dict2 = {}\n",
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"i = 1\n",
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"for n in range(2, sheet.max_row+1):\n",
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"for n in range(4, sheet.max_row+1):\n",
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" if sheet.cell(n, 1).value is not None:\n",
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" code = int(sheet.cell(n, 1).value)\n",
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" daoban = sheet.cell(n, 6).value\n",
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" if str(code) in dict1.keys() and daoban == '倒班':\n",
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" dict2[str(code)] = dict1[str(code)]\n",
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"print(len(dict2))"
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"filename = 'data/data_天津231017_倒班.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2, fl) \n",
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"dict3 = {}\n",
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"for k, v in dict1.items():\n",
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" if k not in dict2.keys():\n",
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" dict3[k] = dict1[k]\n",
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"print(len(dict3))\n",
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" \n",
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"filename = 'data/data_天津231017_非倒班.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict3, fl) \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": "cf45ba36-896d-4d28-ae4a-08c512ff1ddb",
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"metadata": {},
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"source": [
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"### 核对倒班员工信息"
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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": null,
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"id": "08167b05-8719-41c9-a71d-57906a55eb63",
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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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"\n",
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"filename = 'data/data_天津231017.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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" \n",
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"wb = openpyxl.load_workbook('data/员工个人基础信息-倒班.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"dict2 = {}\n",
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"i = 0\n",
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"for n in range(4, sheet.max_row+1):\n",
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" if sheet.cell(n, 1).value is not None:\n",
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" code = int(sheet.cell(n, 1).value)\n",
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" daoban = sheet.cell(n, 6).value\n",
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" if str(code) in dict1.keys():# and daoban != '倒班':\n",
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" dict2[str(code)] = dict1[str(code)]\n",
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"for k,v in dict1.items():\n",
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" if str(k) not in dict2.keys():\n",
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" i+=1\n",
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" print(i,k,v['name'])"
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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": "54b2abad-9891-4e06-93b7-ca5c0659ea49",
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"metadata": {},
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||||
"outputs": [],
|
||||
"source": []
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||||
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||||
Reference in new issue
Block a user