mgorny commented on issue #41318: URL: https://github.com/apache/arrow/issues/41318#issuecomment-2068035759
More of them in the next run: ```pytb ============================================================== FAILURES =============================================================== ___________________________________________________ test_array_to_pylist_roundtrip ____________________________________________________ [gw7] linux -- Python 3.11.9 /var/tmp/portage/dev-python/pyarrow-16.0.0/work/apache-arrow-16.0.0/python-python3_11/install/usr/bin/python3.11 @h.given(past.all_arrays) > def test_array_to_pylist_roundtrip(arr): E hypothesis.errors.FailedHealthCheck: Data generation is extremely slow: Only produced 9 valid examples in 1.86 seconds (0 invalid ones and 7 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 | 16 | 100% | 0.001, 0.001, 0.002, 0.002, 1.848 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. f = <function given.<locals>.run_test_as_given.<locals>.wrapped_test at 0x7fd76fbb9f80> ../work/apache-arrow-16.0.0/python-python3_11/install/usr/lib/python3.11/site-packages/pyarrow/tests/test_convert_builtin.py:2221: FailedHealthCheck -------------------------------------------------------- Captured stdout call --------------------------------------------------------- You can add @seed(18542547154435184381464784279604446533) to this test to reproduce this failure. _____________________________________________________________ test_dtypes _____________________________________________________________ [gw2] linux -- Python 3.11.9 /var/tmp/portage/dev-python/pyarrow-16.0.0/work/apache-arrow-16.0.0/python-python3_11/install/usr/bin/python3.11 @h.given(past.arrays(all_types, size=3)) > def test_dtypes(arr): E hypothesis.errors.FailedHealthCheck: Data generation is extremely slow: Only produced 1 valid examples in 1.98 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 | 1 | 100% | -- -- -- -- 1.975 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. f = <function given.<locals>.run_test_as_given.<locals>.wrapped_test at 0x7fd80f518cc0> ../work/apache-arrow-16.0.0/python-python3_11/install/usr/lib/python3.11/site-packages/pyarrow/tests/interchange/test_interchange_spec.py:43: FailedHealthCheck -------------------------------------------------------- Captured stdout call --------------------------------------------------------- You can add @seed(92376766225733998483262806540841735885) to this test to reproduce this failure. […] FAILED tests/test_convert_builtin.py::test_array_to_pylist_roundtrip - hypothesis.errors.FailedHealthCheck: Data generation is extremely slow: Only produced 9 valid examples in 1.86 seconds (0 invalid ... FAILED tests/interchange/test_interchange_spec.py::test_dtypes - hypothesis.errors.FailedHealthCheck: Data generation is extremely slow: Only produced 1 valid examples in 1.98 seconds (0 invalid ... ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@arrow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org