fix(pipeline): Handle missing side_inputs in AppliedPTransform

[liferoad]

The AppliedPTransform initialization previously accessed transform.side_inputs directly. This could lead to an AttributeError if a transform object did not have a side_inputs attribute.

This change uses getattr to safely access the attribute, providing an empty tuple as a default value. This makes the pipeline construction more robust by preventing crashes for transforms that do not define side inputs.

Fixes #33854

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[gemini-code-assist]

Summary of Changes

Hello @liferoad, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request enhances the robustness of the pipeline construction process by addressing a potential AttributeError during the initialization of AppliedPTransform. It ensures that transforms without explicitly defined side inputs are handled gracefully, preventing crashes and improving overall stability.

Highlights

• Robustness in pipeline construction: The AppliedPTransform initialization now safely accesses transform.side_inputs using getattr, preventing AttributeError if the side_inputs attribute is missing. It defaults to an empty tuple, making the pipeline more resilient.

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 54.92%. Comparing base (d26dbac) to head (298483e).
⚠️ Report is 15 commits behind head on master.

Additional details and impacted files

@@             Coverage Diff              @@
##             master   #36238      +/-   ##
============================================
- Coverage     54.93%   54.92%   -0.01%     
  Complexity     1617     1617              
============================================
  Files          1057     1057              
  Lines        164425   164395      -30     
  Branches       1165     1165              
============================================
- Hits          90320    90293      -27     
+ Misses        71955    71953       -2     
+ Partials       2150     2149       -1     

Flag	Coverage Δ
python	80.91% <100.00%> (+<0.01%)	⬆️

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