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### What changes were proposed in this pull request? Adjust the `check_exact` parameter for non-numeric columns to ensure pandas-on-Spark tests passed with all pandas versions. ### Why are the changes needed? `pd.testing` utils are utilized in pandas-on-Spark tests. Due to https://github.com/pandas-dev/pandas/issues/35446, `check_exact=True` for non-numeric columns doesn't work for older pd.testing utils, e.g. `assert_series_equal`. We wanted to adjust that to ensure pandas-on-Spark tests pass for all pandas versions. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Existing unit tests. Closes #32772 from xinrong-databricks/test_util. Authored-by: Xinrong Meng <xinrong.meng@databricks.com> Signed-off-by: Hyukjin Kwon <gurwls223@apache.org> |
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| .. | ||
| __init__.py | ||
| mllibutils.py | ||
| mlutils.py | ||
| pandasutils.py | ||
| sqlutils.py | ||
| streamingutils.py | ||
| utils.py | ||