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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
import pandas
pandas._libs.parsers.TextReader()Issue Description
Instantiating the internal pandas._libs.parsers.TextReader class with no arguments leads to a segfault. I found this while trying to instantiate all classes present in my program (which may have not been a great idea). Reproducible on both 1.1.5 and the latest release (2.0.1).
Here is a debugger trace on my Mac:
(lldb) target create "/Users/jelle/py/venvs/py311/bin/python"
Current executable set to '/Users/jelle/py/venvs/py311/bin/python' (arm64).
(lldb) r
Process 48453 launched: '/Users/jelle/py/venvs/py311/bin/python' (arm64)
Python 3.11.1 (main, Dec 21 2022, 16:19:04) [Clang 14.0.0 (clang-1400.0.29.202)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas
>>> pandas._libs.parsers.TextReader()
Process 48453 stopped
* thread #1, queue = 'com.apple.main-thread', stop reason = EXC_BAD_ACCESS (code=1, address=0x130)
frame #0: 0x0000000149d1235c parsers.cpython-311-darwin.so`parser_cleanup + 16
parsers.cpython-311-darwin.so`parser_cleanup:
-> 0x149d1235c <+16>: ldr x0, [x0, #0x130]
0x149d12360 <+20>: cbz x0, 0x149d1236c ; <+32>
0x149d12364 <+24>: bl 0x149d15d5c ; symbol stub for: free
0x149d12368 <+28>: str xzr, [x19, #0x130]
Target 0: (python) stopped.
(lldb) bt
* thread #1, queue = 'com.apple.main-thread', stop reason = EXC_BAD_ACCESS (code=1, address=0x130)
* frame #0: 0x0000000149d1235c parsers.cpython-311-darwin.so`parser_cleanup + 16
frame #1: 0x0000000149cf0134 parsers.cpython-311-darwin.so`__pyx_tp_dealloc_6pandas_5_libs_7parsers_TextReader + 84
frame #2: 0x0000000149cf1a0c parsers.cpython-311-darwin.so`__pyx_tp_new_6pandas_5_libs_7parsers_TextReader + 4164
frame #3: 0x00000001000b3550 python`type_call + 84
frame #4: 0x000000010004c834 python`_PyObject_MakeTpCall + 344
frame #5: 0x000000010013cf1c python`_PyEval_EvalFrameDefault + 34740
frame #6: 0x0000000100134598 python`PyEval_EvalCode + 272
frame #7: 0x000000010018c5a8 python`PyRun_InteractiveOneObjectEx + 744
frame #8: 0x000000010018bad0 python`_PyRun_InteractiveLoopObject + 152
frame #9: 0x000000010018b97c python`_PyRun_AnyFileObject + 96
frame #10: 0x000000010018c234 python`PyRun_AnyFileExFlags + 68
frame #11: 0x00000001001ac1dc python`Py_RunMain + 2196
frame #12: 0x00000001001ac424 python`pymain_main + 324
frame #13: 0x00000001001ac4c4 python`Py_BytesMain + 40
frame #14: 0x000000010057508c dyld`start + 520
Expected Behavior
I'd be fine with this throwing an error, but it shouldn't segfault.
Installed Versions
>>> pandas.show_versions()
/Users/jelle/py/venvs/py311/lib/python3.11/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils.
warnings.warn("Setuptools is replacing distutils.")
INSTALLED VERSIONS
------------------
commit : 37ea63d540fd27274cad6585082c91b1283f963d
python : 3.11.1.final.0
python-bits : 64
OS : Darwin
OS-release : 21.6.0
Version : Darwin Kernel Version 21.6.0: Sun Nov 6 23:31:13 PST 2022; root:xnu-8020.240.14~1/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.0.1
numpy : 1.24.2
pytz : 2023.3
dateutil : 2.8.2
setuptools : 67.7.2
pip : 23.0.1
Cython : 0.29.32
pytest : 7.2.1
hypothesis : 6.66.0
sphinx : 6.1.3
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.2
html5lib : 1.1
pymysql : 1.0.2
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.7.0
pandas_datareader: None
bs4 : 4.11.2
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.1
snappy : None
sqlalchemy : 1.4.47
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
zstandard : 0.20.0
tzdata : 2023.3
qtpy : None
pyqt5 : None