[Python] test_dtypes hypotesis test fails sporadically

[raulcd]

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
• 15th Jan - test-conda-python-3.11-hypothesis
• 14th Jan - test-conda-python-3.11-hypothesis

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