fix_biblio.ipynb
1.51 KB
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{
"cells": [
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"import re\n",
"\n",
"with open (\"errors.txt\") as file:\n",
" errors = file.read()\n",
"\n",
"matches = re.findall(r\"Citation\\s+`(.*?)'\", errors)\n",
"\n",
"with open (\"biblio.bib\") as file:\n",
" current_bib = file.read()\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['ge2018theoretical',\n",
" 'barbosh2020empirical',\n",
" 'chen2022seismic',\n",
" 'munoz2018localization',\n",
" 'martinez2021empirical',\n",
" 'rilling2007one',\n",
" 'xu2016study',\n",
" 'huang2003confidence',\n",
" 'zare2023end',\n",
" 'bates2021distribution']"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"found = {m : m in current_bib for m in matches}\n",
"[k for k, v in found.items() if not v]"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "snakemake",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.8"
}
},
"nbformat": 4,
"nbformat_minor": 2
}