[toby-coleman]

Receiving a NumPy array currently compares it elementwise with the channel close-marker string. This raises ValueError for multi-element and empty arrays, raises TypeError for structured arrays, and incorrectly closes the channel for scalar or single-element string arrays containing the marker.

Guard the close-marker comparison with isinstance(msg, str) in both Channel and SerdeChannel. Add 22 regression cases across the direct and serialized wrappers, covering array shapes, dtypes, noncontiguous views, marker-containing arrays, subsequent messages, and normal channel closure. Before the fix, 18 of these cases failed; all 22 now pass.

Validation:

• Channel tests: 28 passed (.venv/bin/pytest -q tests/unit/test_channel.py tests/unit/test_channel_numpy.py tests/unit/test_zmq_channel.py), including Ray and ZMQ multiprocessing coverage.
• Repository-wide Ruff lint, format check, and ty type check passed.
• Full suite attempted with benchmarks disabled; 6 passed before stopping at the RabbitMQ integration test because no RabbitMQ URL/connection is configured.

[chatgpt-codex-connector]

Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review	Status	Commit	Review trigger
📝 Code Review	✅ Completed 2026-10-20T20:06:05.049895Z	e629be2	PR opened

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[github-actions]

Benchmark comparison for f4914fee (base) vs e629be28 (PR)

------------------------------------------------------------------------------------------------------------------ benchmark: 2 tests -----------------------------------------------------------------------------------------------------------------
Name (time in ms)                                                                         Min                 Max                Mean            StdDev              Median               IQR            Outliers     OPS            Rounds  Iterations
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_benchmark_process_run (main/.benchmarks/Linux-CPython-3.14-64bit/0001_base)     555.6293 (1.0)      563.4707 (1.0)      560.6255 (1.0)      3.2830 (1.19)     561.4860 (1.00)     5.0495 (1.20)          1;0  1.7837 (1.0)           5           1
test_benchmark_process_run (pr/.benchmarks/Linux-CPython-3.14-64bit/0001_pr)         559.0205 (1.01)     565.3700 (1.00)     561.3202 (1.00)     2.7704 (1.0)      559.6225 (1.0)      4.2126 (1.0)           1;0  1.7815 (1.00)          5           1
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

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