mgorny commented on issue #40153:
URL: https://github.com/apache/arrow/issues/40153#issuecomment-1954567780
Looking at the other failures:
> FAILED tests/test_array.py::test_dictionary_to_numpy - TypeError: Cannot
cast array data from dtype('int64') to dtype('int32') according to the rule
'safe'
I haven't figured this out yet. It might be a bug in pandas. FWICS we're
constructing two arrays, and they end up having different types inside.
> FAILED tests/test_io.py::test_python_file_large_seeks - assert 5 == ((2 **
32) + 5)
> FAILED tests/test_io.py::test_memory_map_large_seeks - OSError: Read out
of bounds (offset = 4294967301, size = 5) in file of size 10
This could be a bug in pyarrow (or arrow itself) — either it didn't build
with Large File Support, or it doesn't use correct types somewhere in between.
> FAILED
tests/test_pandas.py::TestConvertStructTypes::test_from_numpy_nested -
AssertionError: assert 8 == 12
> FAILED tests/test_schema.py::test_schema_sizeof - assert 28 > 30
I think the first one is because `np.object_` is 32-bit rather than 64-bit,
but I'm not sure about the second one.
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