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Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
cat >spam.cpp <<END
#include <Python.h>
#include <filesystem>
PyMODINIT_FUNC PyInit_spam(void)
{
std::filesystem::path p1("/usr/share/icons");
std::filesystem::path p2("hicolor");
auto x = p1 / p2;
return NULL;
}
END
g++-12 -I/usr/include/python3.9 -g -fPIC -std=c++20 -fsanitize=address -shared -o spam.cpython-39-x86_64-linux-gnu.so spam.cpp
python -c "import pandas; import spam"
Issue Description
The above example is a trivial python module with no classes or methods. It does not even try to create a PyModule object, so if you import it on its own it throws this exception:
SystemError: initialization of spam failed without raising an exception
which is expected.
However, if you import this module after pandas it crashes printing a single error message:
munmap_chunk(): invalid pointer
I tried it with python3.9, 3.10, and 3.11, and with gcc-11 and gcc-12. It crashes consistently, although sometimes I get a different the error message.
Expected Behavior
That example should throw the SystemError
exception regardless of whether you import it before or after pandas.
Installed Versions
INSTALLED VERSIONS
commit : 2e218d1
python : 3.9.2.final.0
python-bits : 64
OS : Linux
OS-release : 5.10.0-13-amd64
Version : #1 SMP Debian 5.10.106-1 (2022-03-17)
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : None
LOCALE : en_US.UTF-8
pandas : 1.5.3
numpy : 1.24.1
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 66.1.1
pip : 22.3.1
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None
None