BUG: test_str_encode[utf32] fails on big-endian machine

[QuLogic]

The test_str_encode test here:

pandas/pandas/tests/extension/test_arrow.py

Lines 2171 to 2183 in 4e40afd

	@pytest.mark.parametrize("errors", ["ignore", "strict"])
	@pytest.mark.parametrize(
	"encoding, exp",
	[
	["utf8", b"abc"],
	["utf32", b"\xff\xfe\x00\x00a\x00\x00\x00b\x00\x00\x00c\x00\x00\x00"],
	],
	)
	def test_str_encode(errors, encoding, exp):
	ser = pd.Series(["abc", None], dtype=ArrowDtype(pa.string()))
	result = ser.str.encode(encoding, errors)
	expected = pd.Series([exp, None], dtype=ArrowDtype(pa.binary()))
	tm.assert_series_equal(result, expected)

appears to encode to native byte order, but the expected value b"\xff\xfe\x00\x00a\x00\x00\x00b\x00\x00\x00c\x00\x00\x00" is given in little-endian order.

This causes the test to fail on big-endian systems such as s390x:

E   AssertionError: Series are different
E   
E   Series values are different (100.0 %)
E   [index]: [0, 1]
E   [left]:  [b'\x00\x00\xfe\xff\x00\x00\x00a\x00\x00\x00b\x00\x00\x00c']
E   [right]: [b'\xff\xfe\x00\x00a\x00\x00\x00b\x00\x00\x00c\x00\x00\x00']
E   At positional index 0, first diff: b'\x00\x00\xfe\xff\x00\x00\x00a\x00\x00\x00b\x00\x00\x00c' != b'\xff\xfe\x00\x00a\x00\x00\x00b\x00\x00\x00c\x00\x00\x00'
testing.pyx:173: AssertionError

INSTALLED VERSIONS

commit : f538741
python : 3.12.2.final.0
python-bits : 64
OS : Linux
OS-release : 6.6.11-200.fc39.x86_64
Version : #1 SMP PREEMPT_DYNAMIC Wed Jan 10 19:25:59 UTC 2024
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : C.UTF-8

pandas : 2.2.0
numpy : 1.26.2
pytz : 2024.1
dateutil : 2.8.2
setuptools : 69.0.3
pip : 23.3.2
Cython : 3.0.8
pytest : 7.4.3
hypothesis : 6.96.1
sphinx : 7.2.6
blosc : None
feather : None
xlsxwriter : 3.1.9
lxml.etree : 5.1.0
html5lib : 1.1
pymysql : 1.4.6
psycopg2 : 2.9.9
jinja2 : 3.1.3
IPython : 8.21.0
pandas_datareader : 0.10.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
bottleneck : 1.3.7
dataframe-api-compat : None
fastparquet : None
fsspec : 2024.2.0
gcsfs : 2023.6.0+1.g7cc53d9
matplotlib : 3.8.2
numba : None
numexpr : 2.8.5
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 15.0.0
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.11.3
sqlalchemy : 2.0.25
tables : 3.9.2
tabulate : 0.9.0
xarray : 2023.8.0
xlrd : 2.0.1
zstandard : 0.22.0
tzdata : None
qtpy : 2.4.1
pyqt5 : None