jorisvandenbossche commented on code in PR #41549:
URL: https://github.com/apache/arrow/pull/41549#discussion_r1593493716
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python/pyarrow/tests/test_array.py:
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@@ -3896,3 +3896,26 @@ def test_list_view_slice(list_view_type):
j = sliced_array.offsets[1].as_py()
assert sliced_array[0].as_py() == sliced_array.values[i:j].to_pylist() ==
[4]
+
+
[email protected]('numpy_dtype', ['>u2', '>i4', '>f8'])
Review Comment:
I think we do have a nightly test runner on a big endian machine, so in that
case this hardcoded test will fail?
So either we have to skip this test in that case, or rewrite the test to
work in both cases (numpy has functionality to byteswap the data and change the
dtype to the opposite byteorder, so to create non-native data regardless of the
platform you are running the test on)
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