tests.unit.test_arrow: test_series_from_arrow_scalars[time-nanoseconds-arrow-from-string] failed
flaky-bot opened this issue · 4 comments
This test failed!
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commit: 0a3cb48
buildURL: Build Status, Sponge
status: failed
Test output
pyarrow_array = [ 00:00:00.000000000, 12:30:15.123456789, 23:59:59.999999999 ] expected = 0 00:00:00 1 12:30:14.998902 2 23:59:58.999272 dtype: dbtime@pytest.mark.parametrize( ["expected", "pyarrow_array"], SERIES_ARRAYS_DEFAULT_TYPES + SERIES_ARRAYS_CUSTOM_ARROW_TYPES, ) def test_series_from_arrow_scalars( pyarrow_array: pyarrow.Array, expected: pandas.Series ): scalars = [] for scalar in pyarrow_array: scalars.append(scalar) assert isinstance(scalar, pyarrow.Scalar) series = pandas.Series(scalars, dtype=expected.dtype)pandas.testing.assert_series_equal(series, expected)tests/unit/test_arrow.py:287:
.nox/unit_prerelease/lib/python3.10/site-packages/pandas/_testing/asserters.py:851: in assert_extension_array_equal
_testing.assert_almost_equal(
pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal
???
???
E AssertionError: ExtensionArray are different
E
E ExtensionArray values are different (66.66667 %)
E [index]: [0, 1, 2]
E [left]: [00:00:00, 12:30:15.123456, 23:59:59.999999]
E [right]: [00:00:00, 12:30:14.998902, 23:59:58.999272]pandas/_libs/testing.pyx:167: AssertionError
Looks like this issue is flaky. 😟
I'm going to leave this open and stop commenting.
A human should fix and close this.
When run at the same commit (0a3cb48), this test passed in one build (Build Status, Sponge) and failed in another build (Build Status, Sponge).
Closing as obsolete
Oops! Looks like this issue is still flaky. It failed again. 😬
I reopened the issue, but a human will need to close it again.
commit: 508564f
buildURL: Build Status, Sponge
status: failed
Test output
pyarrow_array = [ 00:00:00.000000000, 12:30:15.123456789, 23:59:59.999999999 ] expected = 0 00:00:00 1 12:30:14.998902 2 23:59:58.999272 dtype: dbtime@pytest.mark.parametrize( ["expected", "pyarrow_array"], SERIES_ARRAYS_DEFAULT_TYPES + SERIES_ARRAYS_CUSTOM_ARROW_TYPES, ) def test_series_from_arrow_scalars( pyarrow_array: pyarrow.Array, expected: pandas.Series ): scalars = [] for scalar in pyarrow_array: scalars.append(scalar) assert isinstance(scalar, pyarrow.Scalar) series = pandas.Series(scalars, dtype=expected.dtype)pandas.testing.assert_series_equal(series, expected)tests/unit/test_arrow.py:287:
.nox/unit_prerelease/lib/python3.10/site-packages/pandas/_testing/asserters.py:852: in assert_extension_array_equal
_testing.assert_almost_equal(
pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal
???
???
E AssertionError: ExtensionArray are different
E
E ExtensionArray values are different (66.66667 %)
E [index]: [0, 1, 2]
E [left]: [00:00:00, 12:30:15.123456, 23:59:59.999999]
E [right]: [00:00:00, 12:30:14.998902, 23:59:58.999272]pandas/_libs/testing.pyx:167: AssertionError
Based on conversation in the pandas github issue tracker, the root cause of these failing tests appears to be that the pandas system is trying to store too large a number in an int32 memory location. The bug has been added to the pandas 1.5 milestone (pandas is currently at 1.5.0 release candidate stage)