jorisvandenbossche commented on pull request #8894:
URL: https://github.com/apache/arrow/pull/8894#issuecomment-754857132
The python failure looks legit:
```
________________________ test_expression_serialization
_________________________
def test_expression_serialization():
a = ds.scalar(1)
b = ds.scalar(1.1)
c = ds.scalar(True)
d = ds.scalar("string")
e = ds.scalar(None)
f = ds.scalar({'a': 1})
g = ds.scalar(pa.scalar(1))
all_exprs = [a, b, c, d, e, f, g, a == b, a > b, a & b, a | b, ~c,
d.is_valid(), a.cast(pa.int32(), safe=False),
a.cast(pa.int32(), safe=False), a.isin([1, 2, 3]),
ds.field('i64') > 5, ds.field('i64') == 5,
ds.field('i64') == 7]
for expr in all_exprs:
assert isinstance(expr, ds.Expression)
restored = pickle.loads(pickle.dumps(expr))
> assert expr.equals(restored)
E assert False
E + where False = <built-in method equals of
pyarrow._dataset.Expression object at
0x7effd5d024a0>(<pyarrow.dataset.Expression is_in(1, value_set=[\n
-2459565876494606883,\n -2459565876494606883,\n -2459565876494606883\n],
skip_nulls)>)
E + where <built-in method equals of
pyarrow._dataset.Expression object at 0x7effd5d024a0> =
<pyarrow.dataset.Expression is_in(1, value_set=[\n 1,\n 2,\n 3\n],
skip_nulls)>.equals
opt/conda/envs/arrow/lib/python3.8/site-packages/pyarrow/tests/test_dataset.py:419:
AssertionError
```
Seems that the `value_set` is viewed/deserialized with a wrong type or so.
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