Python: tests/test_variants.py::test_variants_different_dtypes randomly fail with hypothesis.errors.FailedHealthCheck: Examples routinely exceeded the max allowable size

[mgorny]

When running the Python test suite, I'm frequently getting health check failures on different tests. For example:

$ python -m pytest tests/test_variants.py::test_variants_different_dtypes
========================================================= test session starts =========================================================
platform linux -- Python 3.11.8, pytest-8.0.2, pluggy-1.4.0
rootdir: /tmp/cramjam/cramjam-python
plugins: hypothesis-6.98.13, xdist-3.5.0
collected 8 items                                                                                                                     

tests/test_variants.py FF......                                                                                                 [100%]

============================================================== FAILURES ===============================================================
_______________________________________________ test_variants_different_dtypes[snappy] ________________________________________________

variant_str = 'snappy'

    @pytest.mark.parametrize("variant_str", VARIANTS)
>   @given(arr=st_np.arrays(st_np.scalar_dtypes(), shape=st.integers(0, int(1e4))))
E   hypothesis.errors.FailedHealthCheck: Examples routinely exceeded the max allowable size. (20 examples overran while generating 8 valid ones). Generating examples this large will usually lead to bad results. You could try setting max_size parameters on your collections and turning max_leaves down on recursive() calls.
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.data_too_large to the suppress_health_check settings for this test.

tests/test_variants.py:42: FailedHealthCheck
------------------------------------------------------------- Hypothesis --------------------------------------------------------------
You can add @seed(297719150791330741877614251129208577971) to this test or run pytest with --hypothesis-seed=297719150791330741877614251129208577971 to reproduce this failure.
_______________________________________________ test_variants_different_dtypes[brotli] ________________________________________________

variant_str = 'brotli'

    @pytest.mark.parametrize("variant_str", VARIANTS)
>   @given(arr=st_np.arrays(st_np.scalar_dtypes(), shape=st.integers(0, int(1e4))))
E   hypothesis.errors.FailedHealthCheck: Examples routinely exceeded the max allowable size. (20 examples overran while generating 9 valid ones). Generating examples this large will usually lead to bad results. You could try setting max_size parameters on your collections and turning max_leaves down on recursive() calls.
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.data_too_large to the suppress_health_check settings for this test.

tests/test_variants.py:42: FailedHealthCheck
------------------------------------------------------------- Hypothesis --------------------------------------------------------------
You can add @seed(151523981063034797703438801667290859669) to this test or run pytest with --hypothesis-seed=151523981063034797703438801667290859669 to reproduce this failure.
======================================================= short test summary info =======================================================
FAILED tests/test_variants.py::test_variants_different_dtypes[snappy] - hypothesis.errors.FailedHealthCheck: Examples routinely exceeded the max allowable size. (20 examples overran while generating 8 v...
FAILED tests/test_variants.py::test_variants_different_dtypes[brotli] - hypothesis.errors.FailedHealthCheck: Examples routinely exceeded the max allowable size. (20 examples overran while generating 9 v...
=============================================== 2 failed, 6 passed in 153.35s (0:02:33) ===============================================

I can reproduce with 496c1ab.

My reproducer:

pip install . pytest pytest-xdist hypothesis numpy
python -m pytest tests/test_variants.py::test_variants_different_dtypes