starting HowBadIsMyBatch.ipynb
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204
HowBadIsMyBatch.ipynb
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204
HowBadIsMyBatch.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9de5907f-18f5-4cb1-903e-26028ff1fa03",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"pd.set_option('display.max_rows', 10)\n",
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"pd.set_option('display.max_columns', None)"
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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": "ad0e6044",
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"metadata": {},
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"outputs": [],
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"source": [
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"df_patients_22 = pd.read_csv(\"2021VAERSData/2021VAERSDATA.csv\", index_col='VAERS_ID', encoding='latin1', low_memory=False)"
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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": "4472e902",
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"metadata": {},
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"outputs": [],
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"source": [
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"df_patients_22.index\n",
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"df_patients_22"
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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": "fb54ec47",
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"metadata": {},
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"outputs": [],
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"source": [
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"df_vax_22 = pd.read_csv(\"2021VAERSData/2021VAERSVAX.csv\", index_col='VAERS_ID', encoding='latin1')"
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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": "d8942466",
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"metadata": {
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"scrolled": false
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},
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"outputs": [],
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"source": [
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"df_vax_22"
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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": "d31c5225",
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"metadata": {},
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"outputs": [],
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"source": [
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"df_COVID19_22 = df_vax_22[df_vax_22[\"VAX_TYPE\"] == \"COVID19\"]"
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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": "be2b57c9",
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"metadata": {
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"scrolled": false
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},
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"outputs": [],
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"source": [
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"df_COVID19_22"
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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": "8c432ab2",
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"metadata": {},
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"outputs": [],
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"source": [
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"df_patients_COVID19 = pd.merge(df_patients_22, df_COVID19_22, left_index=True, right_index=True)"
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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": "fef882ff",
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"metadata": {},
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"outputs": [],
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"source": [
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"df_patients_22.shape, df_COVID19_22.shape, df_patients_COVID19.shape"
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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": "6ce15322",
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"metadata": {
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"scrolled": false
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},
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"outputs": [],
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"source": [
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"# pd.set_option('display.max_rows', 100)\n",
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"df_patients_COVID19"
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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": "233bc590",
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"metadata": {},
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"outputs": [],
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"source": [
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"df_PFIZER_BIONTECH = df_patients_COVID19[df_patients_COVID19[\"VAX_MANU\"] == \"MODERNA\"]"
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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": "86e0e4f2",
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"metadata": {},
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"outputs": [],
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"source": [
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"df_PFIZER_BIONTECH.info()"
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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": "4b3cb943",
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"metadata": {},
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"outputs": [],
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"source": [
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"# table = pd.pivot_table(df_PFIZER_BIONTECH, values='DIED', columns=['DIED'], aggfunc=np.sum)"
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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": "349da946",
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"metadata": {
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"scrolled": false
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},
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"outputs": [],
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"source": [
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"df = df_PFIZER_BIONTECH[df_PFIZER_BIONTECH['DIED']=='Y'][['VAX_LOT']]\n",
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"df"
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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": "9c5ff2fd",
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"metadata": {
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"scrolled": false
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},
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"outputs": [],
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"source": [
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"# df = df.groupby(['VAX_LOT']).count()\n",
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"#df2 = df.sort_values(by=['DIED'], ascending=False)\n",
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"#pd.set_option('display.max_rows', None)\n",
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"#print(df2)\n",
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"pd.set_option('display.max_rows', None)\n",
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"df.value_counts()"
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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": "eff80ae1",
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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": "3.9.7"
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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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