Fix table row inference benchmark using wrong model path

[aIbrahiim]

Fixes: https://github.com/apache/beam/actions/runs/26142790013/job/76891591709

The table row inference batch benchmark on Dataflow failed because the pipeline tried to load a model from a file named batch instead of the real model.

That happened by mistake: the test read --mode=batch as if it were --model_path. This change fixes how options are read so the correct model path is always used.

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[gemini-code-assist]

Summary of Changes

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This pull request addresses a bug in the table row inference benchmark where pipeline options were being incorrectly parsed, leading to the use of invalid model paths. By disabling prefix matching in the argument parser and adopting a typed approach for accessing pipeline options, the change ensures that configuration flags are correctly mapped and applied during benchmark execution.

Highlights

• Option Parsing Fix: Updated the test pipeline option parser to disable prefix matching, preventing ambiguity between similar flags like --mode and --model_path.
• Benchmark Configuration: Refactored the table row inference benchmark to use typed pipeline options instead of dynamic lookups, ensuring more robust configuration handling.

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[gemini-code-assist]

Code Review

This pull request refactors the TableRowInferenceBenchmark to utilize TableRowInferenceOptions for pipeline configuration and updates the TestPipeline to disable argument abbreviation, preventing ambiguous flag matching. Feedback highlights a potential logic regression where using the 'or' operator for default values could incorrectly override a valid '0' input, suggesting explicit None checks instead. Additionally, it is recommended to store the options object as a class attribute during initialization to avoid redundant parsing in the test method.

[aIbrahiim]

cc: @damccorm @Abacn

[github-actions]

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R: @claudevdm for label python.

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[damccorm]

Thanks!