raulcd opened a new issue, #45292:
URL: https://github.com/apache/arrow/issues/45292
### Describe the bug, including details regarding any error messages,
version, and platform.
`test-conda-python-3.11-hypothesis` have been failing sporadically with the
following error:
```
=================================== FAILURES
===================================
_________________________________ test_dtypes
__________________________________
@pytest.mark.numpy
> @h.given(past.arrays(all_types, size=3))
E hypothesis.errors.FailedHealthCheck: Data generation is extremely slow:
Only produced 3 valid examples in 1.49 seconds (0 invalid ones and 0 exceeded
maximum size). Try decreasing size of the data you're generating (with e.g.
max_size or max_leaves parameters).
E count | fraction | slowest draws (seconds)
E arr | 3 | 100% | -- -- 0.001, 0.001, 1.487
E See https://hypothesis.readthedocs.io/en/latest/healthchecks.html for
more information about this. If you want to disable just this health check, add
HealthCheck.too_slow to the suppress_health_check settings for this test.
opt/conda/envs/arrow/lib/python3.11/site-packages/pyarrow/tests/interchange/test_interchange_spec.py:46:
FailedHealthCheck
---------------------------------- Hypothesis
----------------------------------
You can add @seed(50675225575349708009971759516150298645) to this test or
run pytest with --hypothesis-seed=50675225575349708009971759516150298645 to
reproduce this failure.
```
I've seen failures on several nightly jobs here:
- 17th Jan -
[test-conda-python-3.11-hypothesis](https://github.com/ursacomputing/crossbow/actions/runs/12820187249/job/35749320370)
- 15th Jan -
[test-conda-python-3.11-hypothesis](https://github.com/ursacomputing/crossbow/actions/runs/12779007661/job/35622922521)
- 14th Jan -
[test-conda-python-3.11-hypothesis](https://github.com/ursacomputing/crossbow/actions/runs/12758593941/job/35560947916)
but also on PRs like:
-
https://github.com/ursacomputing/crossbow/actions/runs/12828673021/job/35773213468
Given the randomness on those tests a retry might make them pass but given
they fail quite often there might be an existing issue.
### Component(s)
Python
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