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Posted to jira@arrow.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2022/03/22 10:10:00 UTC
[jira] [Updated] (ARROW-15999) [Python] Turn deadlines off for the test using hypothesis
[ https://issues.apache.org/jira/browse/ARROW-15999?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated ARROW-15999:
-----------------------------------
Labels: pull-request-available (was: )
> [Python] Turn deadlines off for the test using hypothesis
> ---------------------------------------------------------
>
> Key: ARROW-15999
> URL: https://issues.apache.org/jira/browse/ARROW-15999
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Alenka Frim
> Assignee: Alenka Frim
> Priority: Major
> Labels: pull-request-available
> Fix For: 8.0.0
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Turn deadlines off for test test_python_datetime_with_pytz_timezone in test_pandas-py that is using hypothesis and is failing in nightly builds:
> {code:java}
> =================================== FAILURES ===================================
> _____ TestConvertDateTimeLikeTypes.test_python_datetime_with_pytz_timezone _____
> self = <pyarrow.tests.test_pandas.TestConvertDateTimeLikeTypes object at 0x7f504239d730>
> @h.given(st.none() | tzst.timezones())
> > def test_python_datetime_with_pytz_timezone(self, tz):
> opt/conda/envs/arrow/lib/python3.8/site-packages/pyarrow/tests/test_pandas.py:1048:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> self = <hypothesis.core.StateForActualGivenExecution object at 0x7f503f91c320>
> message = "Hypothesis test_python_datetime_with_pytz_timezone(self=<pyarrow.tests.test_pandas.TestConvertDateTimeLikeTypes at 0x...la' LMT-1 day, 19:36:00 STD>) produces unreliable results: Falsified on the first call but did not on a subsequent one"
> def __flaky(self, message):
> if len(self.falsifying_examples) <= 1:
> > raise Flaky(message)
> E hypothesis.errors.Flaky: Hypothesis test_python_datetime_with_pytz_timezone(self=<pyarrow.tests.test_pandas.TestConvertDateTimeLikeTypes at 0x7f504239d730>, tz=<DstTzInfo 'America/Anguilla' LMT-1 day, 19:36:00 STD>) produces unreliable results: Falsified on the first call but did not on a subsequent one
> opt/conda/envs/arrow/lib/python3.8/site-packages/hypothesis/core.py:886: Flaky
> ---------------------------------- Hypothesis ----------------------------------
> Falsifying example: test_python_datetime_with_pytz_timezone(
> tz=<DstTzInfo 'America/Anguilla' LMT-1 day, 19:36:00 STD>,
> self=<pyarrow.tests.test_pandas.TestConvertDateTimeLikeTypes at 0x7f504239d730>,
> )
> Unreliable test timings! On an initial run, this test took 559.16ms, which exceeded the deadline of 200.00ms, but on a subsequent run it took 1.93 ms, which did not. If you expect this sort of variability in your test timings, consider turning deadlines off for this test by setting deadline=None.
> {code}
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