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Enable sorting on column with nulls using query-planning #15639

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May 9, 2024
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2 changes: 1 addition & 1 deletion python/dask_cudf/dask_cudf/backends.py
Original file line number Diff line number Diff line change
Expand Up @@ -307,7 +307,7 @@ def categorical_dtype_cudf(categories=None, ordered=False):
@tolist_dispatch.register((cudf.Series, cudf.BaseIndex))
@_dask_cudf_nvtx_annotate
def tolist_cudf(obj):
return obj.to_arrow().to_pylist()
return obj.to_pandas().tolist()


@is_categorical_dtype_dispatch.register(
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2 changes: 1 addition & 1 deletion python/dask_cudf/dask_cudf/tests/test_sort.py
Original file line number Diff line number Diff line change
Expand Up @@ -72,7 +72,7 @@ def test_sort_repartition():
dd.assert_eq(len(new_ddf), len(ddf))


@xfail_dask_expr("dask-expr code path fails with nulls")
@xfail_dask_expr("missing null support", lt_version="2024.5.1")
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I'd like this test to run for anything newer than the "2024.5.0" release (including main). Not sure of the "correct" way to do this.

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I think that is correct. pytest.mark.xfail(some_condition, reason="some_reason") which is what this expands to is the canonical way.

@pytest.mark.parametrize("na_position", ["first", "last"])
@pytest.mark.parametrize("ascending", [True, False])
@pytest.mark.parametrize("by", ["a", "b", ["a", "b"]])
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