20240609
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@@ -10,15 +10,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 22,
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"id": "ed6c774c-e91d-4f99-9a38-318fade9e937",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-06-01T08:38:50.009649Z",
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"iopub.status.busy": "2024-06-01T08:38:50.009121Z",
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"iopub.status.idle": "2024-06-01T08:38:50.151368Z",
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"shell.execute_reply": "2024-06-01T08:38:50.150654Z",
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"shell.execute_reply.started": "2024-06-01T08:38:50.009599Z"
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"iopub.execute_input": "2024-06-06T02:03:52.715662Z",
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"iopub.status.busy": "2024-06-06T02:03:52.714931Z",
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"iopub.status.idle": "2024-06-06T02:03:52.870802Z",
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"shell.execute_reply": "2024-06-06T02:03:52.870264Z",
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"shell.execute_reply.started": "2024-06-06T02:03:52.715592Z"
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}
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},
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"outputs": [
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@@ -30,6 +30,49 @@
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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 datetime\n",
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"\n",
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"wb = openpyxl.load_workbook('data/中安联合体测花名册.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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" rq = str(sheet.cell(n,8).value).split(' ')[0].replace('/','-')\n",
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" dt = datetime.datetime.strptime(rq, '%Y-%m-%d')\n",
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" dict1['birth'] = dt.strftime('%Y-%m-%d')\n",
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" if sheet.cell(n,9).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n,9).value)\n",
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" \n",
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" person[code] = dict1\n",
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"filename = 'data/中安联合.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": "code",
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"execution_count": null,
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"id": "3239aae7-bcdc-468a-aa68-6b5ca4ff0821",
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"metadata": {},
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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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@@ -53,12 +96,8 @@
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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/中安联合.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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" rq = str(sheet.cell(n,8).value).split(' ')[0].replace('/','-')\n",
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" print(rq,type(rq))"
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]
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},
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{
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@@ -71,17 +110,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 44,
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"execution_count": null,
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"id": "c9430854-6f56-4854-bc6b-d22f812f6715",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-05-31T12:41:21.160561Z",
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"iopub.status.busy": "2024-05-31T12:41:21.159834Z",
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"iopub.status.idle": "2024-05-31T12:41:21.433867Z",
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"shell.execute_reply": "2024-05-31T12:41:21.433333Z",
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"shell.execute_reply.started": "2024-05-31T12:41:21.160496Z"
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}
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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@@ -112,17 +143,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"execution_count": null,
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"id": "dbc5af3a-1a2a-4094-ac89-f8efded12245",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-05-26T09:11:07.788399Z",
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"iopub.status.busy": "2024-05-26T09:11:07.787797Z",
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"iopub.status.idle": "2024-05-26T09:11:08.056837Z",
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"shell.execute_reply": "2024-05-26T09:11:08.056306Z",
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"shell.execute_reply.started": "2024-05-26T09:11:07.788344Z"
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}
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"import re\n",
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@@ -164,27 +187,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": null,
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"id": "1efe2b78-dd18-4d12-8bc9-058f6f0046c9",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-06-01T08:40:42.686238Z",
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"iopub.status.busy": "2024-06-01T08:40:42.685496Z",
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"iopub.status.idle": "2024-06-01T08:40:42.743042Z",
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"shell.execute_reply": "2024-06-01T08:40:42.742507Z",
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"shell.execute_reply.started": "2024-06-01T08:40:42.686153Z"
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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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"709\n",
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"709\n"
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]
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}
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],
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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 time\n",
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@@ -204,7 +210,7 @@
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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/places_result_20240601.csv'\n",
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"filename = 'data/places_result_20240605.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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@@ -242,17 +248,9 @@
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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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"execution_count": null,
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"id": "dd6379bf-6a79-48de-b3fb-35e84f192ce2",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-06-01T08:41:07.934988Z",
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"iopub.status.busy": "2024-06-01T08:41:07.934276Z",
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"iopub.status.idle": "2024-06-01T08:41:08.095312Z",
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"shell.execute_reply": "2024-06-01T08:41:08.094771Z",
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"shell.execute_reply.started": "2024-06-01T08:41:07.934919Z"
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}
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},
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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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@@ -305,17 +303,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": null,
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"id": "314f9709-4c13-4f8b-bca6-fc2122a9054e",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-06-02T01:04:12.743929Z",
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"iopub.status.busy": "2024-06-02T01:04:12.742863Z",
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"iopub.status.idle": "2024-06-02T01:04:12.793583Z",
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"shell.execute_reply": "2024-06-02T01:04:12.792951Z",
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"shell.execute_reply.started": "2024-06-02T01:04:12.743871Z"
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}
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},
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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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