laserninja opened a new pull request, #58790:
URL: https://github.com/apache/spark/pull/58790

   ### What changes were proposed in this pull request?
   
   Compare NaN and infinity explicitly before applying finite-value tolerances. 
Preserve matching NaNs and same-sign infinities, and add tests for both 
argument directions, zero/default tolerances, and nested values.
   
   ### Why are the changes needed?
   
   The tolerance inequality does not reject NaN arithmetic, and an infinite 
expected value can make both sides infinity. As a result, NaN versus a finite 
value and opposite-sign infinities can pass equality assertions.
   
   ```python
   from pyspark.sql import Row
   from pyspark.testing import assertDataFrameEqual
   assertDataFrameEqual([Row(x=float("nan"))], [Row(x=1.0)])
   assertDataFrameEqual([Row(x=1.0)], [Row(x=float("inf"))])
   assertDataFrameEqual([Row(x=float("inf"))], [Row(x=float("-inf"))])
   # All three return without raising
   ```
   
   ### Does this PR introduce _any_ user-facing change?
   
   Yes. Unequal special values now raise DIFFERENT_ROWS. Matching NaNs and 
same-sign infinities continue to compare equal, and finite-value tolerance 
behavior is unchanged.
   
   ### How was this patch tested?
   
   The new regression tests failed before the fix and passed afterward on 
Python 3.10.11 with NumPy 2.2.6. The focused run passed 3 tests, including 
parameterized subtests:
   
   ```bash
   PYTHONPATH=python TERM=dumb python -m unittest 
pyspark.sql.tests.test_utils.NonFiniteComparisonTests -q
   PYTHON_EXECUTABLE=python ./dev/lint-python --compile --custom-pyspark-error 
--ruff
   ```
   
   Run the commands with the Python virtual environment activated; the local 
run shared an environment from a sibling checkout. The tests call public Python 
APIs directly and require no SparkSession. Python compilation, custom-error 
checks, Ruff lint, and Ruff formatting passed. JVM-backed suites were not run 
because these fixes are confined to Python-side logic.
   
   Draft pending creation and linking of the corresponding ASF Jira issue.
   
   ### Was this patch authored or co-authored using generative AI tooling?
   
   Generated-by: OpenAI Codex (GPT-6).
   


-- 
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: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]


---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to