BUG: test_rolling_var_numerical_issues fails on 32-bit platforms

[misuzu]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

The issue is reproducible on 32-bit platforms using pandas tests suite (tested 2.1.1, 2.1.2 and main branch)

Issue Description

test_rolling_var_numerical_issues fails on i686-linux and armv7l-linux

=========================== short test summary info ============================
FAILED tests/window/test_rolling.py::test_rolling_var_numerical_issues[var-1-values0] - AssertionError: Series are different
FAILED tests/window/test_rolling.py::test_rolling_var_numerical_issues[std-1-values1] - AssertionError: Series are different
FAILED tests/window/test_rolling.py::test_rolling_var_numerical_issues[var-2-values2] - AssertionError: Series are different
FAILED tests/window/test_rolling.py::test_rolling_var_numerical_issues[std-2-values3] - AssertionError: Series are different
= 4 failed, 176645 passed, 22922 skipped, 1658 xfailed, 91 xpassed, 6 warnings in 817.26s (0:13:37) =

pandas-2.1.1-i686-linux.log

pandas-2.1.1-armv7l-linux.log

Expected Behavior

Tests suite doesn't fail on 32-bit platforms

Installed Versions

i686-linux:

INSTALLED VERSIONS

commit : e86ed37
python : 3.11.6.final.0
python-bits : 32
OS : Linux
OS-release : 6.1.59
Version : #1-NixOS SMP PREEMPT_DYNAMIC Thu Oct 19 21:08:58 UTC 2023
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : uk_UA.UTF-8
LOCALE : uk_UA.UTF-8

pandas : 2.1.1
numpy : 1.25.2
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : None
pip : None
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
dataframe-api-compat: 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
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None

armv7l-linux

INSTALLED VERSIONS

commit : e86ed37
python : 3.11.6.final.0
python-bits : 32
OS : Linux
OS-release : 6.1.60
Version : #1-NixOS SMP Wed Oct 25 10:03:17 UTC 2023
machine : aarch64
processor :
byteorder : little
LC_ALL : None
LANG : uk_UA.UTF-8
LOCALE : uk_UA.UTF-8

pandas : 2.1.1
numpy : 1.25.2
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : None
pip : None
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
dataframe-api-compat: 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
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None

[mroeschke]

Thanks for the report. Duplicate of #37398