[BUG]: test_property_graph CI Failure

[lowener]

Version

23.02

Which installation method(s) does this occur on?

No response

Describe the bug.

CI ran into this issue:

=========================== short test summary info ============================
FAILED tests/test_property_graph.py::test_renumber_vertices_by_type[df_type=cudf.DataFrame-None] - AttributeError: 'bool' object has no attribute 'all'
FAILED tests/test_property_graph.py::test_renumber_vertices_by_type[df_type=cudf.DataFrame-prev_id] - AttributeError: 'bool' object has no attribute 'all'
FAILED tests/test_property_graph.py::test_renumber_edges_by_type[df_type=cudf.DataFrame-None] - AttributeError: 'bool' object has no attribute 'all'
FAILED tests/test_property_graph.py::test_renumber_edges_by_type[df_type=cudf.DataFrame-prev_id] - AttributeError: 'bool' object has no attribute 'all'
= 4 failed, 1488 passed, 561 skipped, 22 deselected, 899 warnings in 1484.16s (0:24:44) =
Ran Python pytest for cugraph : return code was: 1, test script exit code is now: 1

=================================== FAILURES ===================================
_________ test_renumber_vertices_by_type[df_type=cudf.DataFrame-None] __________

dataset1_PropertyGraph = (<PropertyGraph object at 0x7f6baeca8610>, {'merchants': [['merchant_id', 'merchant_location', 'merchant_size', 'merch...yer_id', 'amount'], [(11, 1123.98), (4, 3243.7), (21, 8932.3), (16, 3241.77), (86, 789.2), (89021, 23.98), ...]], ...})
prev_id_column = None

    @pytest.mark.parametrize("prev_id_column", [None, "prev_id"])
    def test_renumber_vertices_by_type(dataset1_PropertyGraph, prev_id_column):
        from cugraph.experimental import PropertyGraph
    
        (pG, data) = dataset1_PropertyGraph
        with pytest.raises(ValueError, match="existing column"):
            pG.renumber_vertices_by_type("merchant_size")
        df_id_ranges = pG.renumber_vertices_by_type(prev_id_column)
        expected = {
            "merchants": [0, 4],  # stop is inclusive
            "users": [5, 8],
        }
        for key, (start, stop) in expected.items():
            assert df_id_ranges.loc[key, "start"] == start
            assert df_id_ranges.loc[key, "stop"] == stop
            df = pG.get_vertex_data(types=[key])
            assert len(df) == stop - start + 1
>           assert (df["_VERTEX_"] == list(range(start, stop + 1))).all()
E           AttributeError: 'bool' object has no attribute 'all'

Link to job log: https://gpuci.gpuopenanalytics.com/job/rapidsai/job/gpuci/job/cugraph/job/prb/job/cugraph-gpu-test/CUDA=11.2,GPU_LABEL=driver-495,LINUX_VER=ubuntu18.04,PYTHON=3.9/2921/consoleText

Minimum reproducible example

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Relevant log output

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Environment details

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Other/Misc.

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Code of Conduct

• I agree to follow cuGraph's Code of Conduct
• I have searched the open bugs and have found no duplicates for this bug report

[lowener]

This seems to be resolved by #3036.