Yicong-Huang opened a new pull request, #4664:
URL: https://github.com/apache/texera/pull/4664

   ### What changes were proposed in this PR?
   
   Add a single test module 
`core/architecture/sendsemantics/test_partitioners.py` that exercises each 
concrete partitioner under that package:
   
   - `BroadcastPartitioner`
   - `RoundRobinPartitioner`
   - `OneToOnePartitioner`
   - `HashBasedShufflePartitioner`
   - `RangeBasedShufflePartitioner`
   
   For each one the suite covers:
   
   - constructor — receivers list, batch size, partitioner-specific attributes 
(hash keys, range bounds, worker_id matching, deduped channels)
   - `add_tuple_to_batch` — under-batch (no yield), at-batch (yield + slot 
reset), routing correctness
   - `flush` — pending-batch + ECM emitted only to the target receiver, 
empty-batch case, unknown-receiver case
   - `flush_state` — pending batches plus a per-receiver state record
   - `reset` — pending state cleared
   - `RangeBasedShufflePartitioner.get_receiver_index` — below `range_min`, 
above `range_max`, in-range quotient, boundary values
   
   Helper `_snapshot()` captures yielded list payloads at yield time, since 
several partitioners yield a receiver's pending batch by reference and clear it 
on the next statement of the generator.
   
   **Coverage on `core/architecture/sendsemantics/` rises from 56.6% to 99%.** 
All 5 concrete partitioner files reach 100%; the only remaining uncovered lines 
are the abstract-method `pass` stubs in the `Partitioner` base class.
   
   ```
   Name                                                                 Stmts   
Miss  Cover
   core/architecture/sendsemantics/__init__.py                              0   
   0   100%
   core/architecture/sendsemantics/broad_cast_partitioner.py               44   
   0   100%
   core/architecture/sendsemantics/hash_based_shuffle_partitioner.py       40   
   0   100%
   core/architecture/sendsemantics/one_to_one_partitioner.py               40   
   0   100%
   core/architecture/sendsemantics/partitioner.py                          23   
   5    78%   (abstract pass-stubs)
   core/architecture/sendsemantics/range_based_shuffle_partitioner.py      49   
   0   100%
   core/architecture/sendsemantics/round_robin_partitioner.py              39   
   0   100%
   TOTAL                                                                  474   
   5    99%
   ```
   
   ### Any related issues, documentation, discussions?
   
   Closes #4663.
   
   ### How was this PR tested?
   
   \`\`\`
   $ python3 -m pytest core/architecture/sendsemantics/test_partitioners.py -v
   ... 35 passed in 0.65s
   $ python3 -m coverage run --source=core/architecture/sendsemantics -m pytest 
core/architecture/sendsemantics/test_partitioners.py
   $ python3 -m coverage report -m
   ... TOTAL 474 5 99%
   \`\`\`
   
   The new tests run under the existing python CI job (no new dependencies, no 
new fixtures needing infra). Codecov should pick the bump up automatically once 
the python job uploads coverage on this PR.
   
   ### Was this PR authored or co-authored using generative AI tooling?
   
   Generated-by: Claude Code (Opus 4.7, 1M context)


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