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BUG: Arrow setitem segfaults when len > 145 000 #52075

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Merged
merged 5 commits into from
Mar 27, 2023
Merged

BUG: Arrow setitem segfaults when len > 145 000 #52075

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8c78892
BUG: Arrow setitem segfaults when len > 145 000
phofl Mar 19, 2023
f5c7754
Add gh ref
phofl Mar 19, 2023
5c73f41
Merge remote-tracking branch 'upstream/main' into 52059
phofl Mar 21, 2023
e72007d
Address review
phofl Mar 21, 2023
7535639
Restrict to bool type
phofl Mar 21, 2023
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4 changes: 4 additions & 0 deletions pandas/core/arrays/arrow/array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1634,6 +1634,10 @@ def _replace_with_mask(
indices = pa.array(indices, type=pa.int64())
replacements = replacements.take(indices)
return cls._if_else(mask, replacements, values)
if isinstance(values, pa.ChunkedArray) and pa.types.is_boolean(values.type):
# GH#52059 replace_with_mask segfaults for chunked array
# https://github.com/apache/arrow/issues/34634
values = values.combine_chunks()
try:
return pc.replace_with_mask(values, mask, replacements)
except pa.ArrowNotImplementedError:
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9 changes: 9 additions & 0 deletions pandas/tests/extension/test_arrow.py
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Expand Up @@ -2368,3 +2368,12 @@ def test_pickle_old_arrowextensionarray():
tm.assert_extension_array_equal(result, expected)
assert result._pa_array == pa.chunked_array(data)
assert not hasattr(result, "_data")


def test_setitem_boolean_replace_with_mask_segfault():
# GH#52059
N = 145_000
arr = ArrowExtensionArray(pa.chunked_array([np.ones((N,), dtype=np.bool_)]))
Comment on lines +2375 to +2376
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I don't think you need this > 145_000. Based on @lukemanley's report, this just happens for any (also tiny) chunked array.
(I suppose the larger number came from reading where depending on the size it was creating a chunked array or not?)

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The test did not fail with a smaller size, this was confusing to me as well but could this only get to fail with arrow functionality only

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@jorisvandenbossche jorisvandenbossche Mar 21, 2023 •
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OK, that might be a different issue. But so this test is currently not strictly testing the replace_with_mask issue giving invalid return arrays, because it seems the == is not actually doing its work ... (another bug!)

So also with a N of 2, I see the invalid output, the == just passes:

In [14]: N = 2

In [15]: arr = pd.arrays.ArrowExtensionArray(pa.chunked_array([np.ones((N,), dtype=np.bool_)]))

In [16]: expected = arr.copy()

In [17]: arr[np.zeros((N,), dtype=np.bool_)] = False

In [18]: expected._data
Out[18]: 
<pyarrow.lib.ChunkedArray object at 0x7fa0f51e2de0>
[
  [
    true,
    true
  ]
]

In [19]: arr._data
Out[19]: 
<pyarrow.lib.ChunkedArray object at 0x7fa0f52e6390>
[
<Invalid array: Buffer #1 too small in array of type bool and length 2: expected at least 1 byte(s), got 0
/home/joris/scipy/repos/arrow/cpp/src/arrow/array/validate.cc:116  ValidateLayout(*data.type)>
]

In [20]: expected._data == arr._data
Out[20]: True

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Using 145_000 causes a segfault on my machine without the change though, so this should be good enough as a test for now?

expected = arr.copy()
arr[np.zeros((N,), dtype=np.bool_)] = False
assert arr._pa_array == expected._pa_array