A1K28 opened a new pull request, #35727:
URL: https://github.com/apache/beam/pull/35727
### Description
This PR fixes a flaky test, which was caused by two unrelated issues:
1. Test case: pandas_doctests_test.py::DoctestTest::test_top_level, that
fails intermittently in CI on Python 3.12.
2. GitHub rate limits (fixed by modifying the actions yml files).
### Issue
The test fails with an AssertionError: 4 != 0 due to a doctest mismatch.
This occurs because newer versions of numpy, particularly when run on Python
3.12, produce a more explicit string representation for arrays (e.g.,
[np.int32(1)] instead of [1]).
### Solution
The project's custom _DeferrredDataframeOutputChecker already contains logic
to normalize these string representations. However, this logic was incorrectly
guarded by a version check:
```Python
if sys.version_info < (3, 11) and 'NumpyExtensionArray' in got:
# ... normalization logic ...
```
This prevented the fix from running on Python 3.12 environments. This PR
removes the obsolete sys.version_info < (3, 11) condition, allowing the output
normalization to run on all Python versions and resolving the test failure.
### Verification
I have verified this fix locally by:
Creating a clean environment using Python 3.12.10 to reliably reproduce the
AssertionError.
Applying this code change, which caused the test to pass consistently in the
same Python 3.12.10 environment.
This change makes our doctests more resilient to environmental differences.
### More Info
Successful run: https://github.com/A1K28/beam/actions/runs/16601134722.
Related Issues: Fixes #35691
------------------------
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