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tests.unit.test_arrow: test_to_arrow_w_arrow_type[time-nanoseconds-arrow-from-string] failed #118

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commit: 0a3cb48
buildURL: Build Status, Sponge
status: failed

Test output
series = 0           00:00:00
1    12:30:14.998902
2    23:59:58.999272
dtype: dbtime
expected = 
[
  00:00:00.000000000,
  12:30:15.123456789,
  23:59:59.999999999
]
@pytest.mark.parametrize(("series", "expected"), SERIES_ARRAYS_CUSTOM_ARROW_TYPES)
def test_to_arrow_w_arrow_type(series, expected):
    array = pyarrow.array(series, type=expected.type)
  assert array.equals(expected)

E assert False
E + where False = <built-in method equals of pyarrow.lib.Time64Array object at 0x7fd4448793c0>(<pyarrow.lib.Time64Array object at 0x7fd444ac0d00>\n[\n 00:00:00.000000000,\n 12:30:15.123456789,\n 23:59:59.999999999\n])
E + where <built-in method equals of pyarrow.lib.Time64Array object at 0x7fd4448793c0> = <pyarrow.lib.Time64Array object at 0x7fd4448793c0>\n[\n 00:00:00.000000000,\n 12:30:14.998902738,\n 23:59:58.999272620\n].equals

tests/unit/test_arrow.py:259: AssertionError

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    api: bigqueryIssues related to the googleapis/python-db-dtypes-pandas API.externalThis issue is blocked on a bug with the actual product.flakybot: flakyTells the Flaky Bot not to close or comment on this issue.flakybot: issueAn issue filed by the Flaky Bot. Should not be added manually.priority: p2Moderately-important priority. Fix may not be included in next release.type: bugError or flaw in code with unintended results or allowing sub-optimal usage patterns.

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